From 36c91ddc2d7a7742a933ce6ac5bf93b876439dc5 Mon Sep 17 00:00:00 2001 From: Serene Date: Mon, 19 Oct 2020 11:01:53 -0700 Subject: [PATCH] add Stability analyese files --- .DS_Store | Bin 0 -> 14340 bytes code_method/.DS_Store | Bin 0 -> 8196 bytes code_method/code_method/.DS_Store | Bin 0 -> 6148 bytes code_method/code_method/.Rhistory | 512 + .../code_method/bootstrap_test_compLasso_rf.R | 127 + code_method/code_method/cv_method.R | 321 + code_method/code_method/cv_sim_apply.R | 76 + code_method/code_method/getStability.R | 84 + .../code_method/stab_data_applications.R | 73 + data_application/.DS_Store | Bin 0 -> 14340 bytes data_application/88soils/.DS_Store | Bin 0 -> 10244 bytes data_application/88soils/238_otu_table.biom | Bin 0 -> 2196851 bytes .../88soils/88soils_genus_table.RData | Bin 0 -> 41535 bytes .../88soils/88soils_genus_table.txt | 90 + .../88soils/88soils_modified_metadata.txt | 90 + data_application/88soils/88soils_taxonomy.txt | 7397 ++ .../boot/soils_ph_boot_compLasso.RData | Bin 0 -> 83275 bytes .../88soils/boot/soils_ph_boot_rf.RData | Bin 0 -> 82183 bytes .../88soils/filter_onepercent/soils_ph.RData | Bin 0 -> 87288 bytes .../soils_ph_compLasso.RData | Bin 0 -> 9099 bytes .../filter_onepercent/soils_ph_elnet.RData | Bin 0 -> 69785 bytes .../filter_onepercent/soils_ph_lasso.RData | Bin 0 -> 14352 bytes .../filter_onepercent/soils_ph_rf.RData | Bin 0 -> 54934 bytes .../filter_onepercent/soils_slection_prob.txt | 2184 + .../filter_onepercent/table_soil_88.txt | 5 + data_application/88soils/soils_ph.RData | Bin 0 -> 87288 bytes .../88soils/soils_ph_compLasso.RData | Bin 0 -> 9066 bytes data_application/88soils/soils_ph_elnet.RData | Bin 0 -> 67767 bytes data_application/88soils/soils_ph_lasso.RData | Bin 0 -> 14570 bytes data_application/88soils/soils_ph_rf.RData | Bin 0 -> 54546 bytes .../88soils/soils_slection_prob.txt | 2184 + data_application/BMI/.DS_Store | Bin 0 -> 14340 bytes data_application/BMI/BMI_Lin_2014.RData | Bin 0 -> 21058 bytes data_application/BMI/BMI_compLasso.RData | Bin 0 -> 4638 bytes data_application/BMI/BMI_elnet.RData | Bin 0 -> 7480 bytes data_application/BMI/BMI_lasso.RData | Bin 0 -> 3791 bytes data_application/BMI/BMI_rf.RData | Bin 0 -> 3997 bytes data_application/BMI/BMI_rf_alt.RData | Bin 0 -> 3981 bytes data_application/BMI/BMI_rf_jnt.RData | Bin 0 -> 4534 bytes data_application/BMI/bmi_pe_linOrigin.rda | Bin 0 -> 1622 bytes data_application/BMI/bmi_slection_prob.txt | 88 + .../BMI/boot/BMI_boot_compLasso.RData | Bin 0 -> 83303 bytes data_application/BMI/boot/BMI_boot_rf.RData | Bin 0 -> 84222 bytes .../BMI/filter_onepercent/.DS_Store | Bin 0 -> 6148 bytes .../BMI/filter_onepercent/BMI_Lin_2014.RData | Bin 0 -> 21058 bytes .../BMI/filter_onepercent/BMI_compLasso.RData | Bin 0 -> 4668 bytes .../BMI/filter_onepercent/BMI_elnet.RData | Bin 0 -> 7600 bytes .../BMI/filter_onepercent/BMI_lasso.RData | Bin 0 -> 3462 bytes .../BMI/filter_onepercent/BMI_rf.RData | Bin 0 -> 4291 bytes .../filter_onepercent/bmi_slection_prob.txt | 88 + .../BMI/filter_onepercent/table_bmi_gut.txt | 5 + data_application/code_applications/.DS_Store | Bin 0 -> 6148 bytes .../88soils_stab_application.R | 98 + .../code_applications/BMI_stab_application.R | 105 + .../code_applications/data_processing.R | 42 + .../code_applications/run_88soils.sh | 27 + data_application/code_applications/run_BMI.sh | 27 + .../run_data_applications.sh | 29 + .../notebooks_application/.DS_Store | Bin 0 -> 6148 bytes .../0. makeFigures.ipynb | 300 + ...1. BMI_DataPreparation_ParameterGrid.ipynb | 1303 + .../1.2. BMI_results.ipynb | 341 + .../1.2.2 BMI_results_filtered1%.ipynb | 441 + .../1.3 BMI_testing.ipynb | 61638 ++++++++++++++++ ...soils_biom_table_preprocess (python).ipynb | 1571 + ...8soils_DataPreparation_ParameterGrid.ipynb | 1121 + .../4.2 88soils_results.ipynb | 361 + .../4.2 88soils_results_filter1%.ipynb | 455 + .../4.3 88soils_testing.ipynb | 61638 ++++++++++++++++ ms_writing_figs/.DS_Store | Bin 0 -> 6148 bytes ms_writing_figs/block_easy_stab.png | Bin 0 -> 216102 bytes ms_writing_figs/methods_mse_rate_new.png | Bin 0 -> 265159 bytes ms_writing_figs/methods_stab.png | Bin 0 -> 225969 bytes ms_writing_figs/mse_stab_fnr_new.png | Bin 0 -> 901886 bytes ms_writing_figs/mse_stab_fpr_new.png | Bin 0 -> 839220 bytes ms_writing_figs/toe_easy_stab.png | Bin 0 -> 229305 bytes simulations/.DS_Store | Bin 0 -> 18436 bytes simulations/code_sim_compare/CL_sim_apply.R | 87 + simulations/code_sim_compare/block_results.R | 75 + .../code_sim_compare/boot_CL_testing.R | 31 + .../code_sim_compare/boot_RF_testing.R | 32 + simulations/code_sim_compare/ind_results.R | 101 + simulations/code_sim_compare/run_block_cv.sh | 27 + simulations/code_sim_compare/run_boot_rf.sh | 27 + simulations/code_sim_compare/run_ind_cv.sh | 27 + simulations/code_sim_compare/run_toe_cv.sh | 27 + simulations/code_sim_compare/toe_results.R | 74 + simulations/figures_sim/.DS_Store | Bin 0 -> 6148 bytes .../figures_sim/figure_block_compLasso.pdf | Bin 0 -> 21152 bytes .../figures_sim/figure_block_corr0.1_FN.pdf | Bin 0 -> 6037 bytes .../figures_sim/figure_block_corr0.1_FP.pdf | Bin 0 -> 6058 bytes .../figures_sim/figure_block_corr0.1_MSE.pdf | Bin 0 -> 5915 bytes .../figures_sim/figure_block_corr0.1_Stab.pdf | Bin 0 -> 6029 bytes .../figure_block_corr0.1_num_select.pdf | Bin 0 -> 6000 bytes .../figures_sim/figure_block_corr0.3_FN.pdf | Bin 0 -> 5960 bytes .../figures_sim/figure_block_corr0.3_FP.pdf | Bin 0 -> 6052 bytes .../figures_sim/figure_block_corr0.3_MSE.pdf | Bin 0 -> 5982 bytes .../figures_sim/figure_block_corr0.3_Stab.pdf | Bin 0 -> 6064 bytes .../figure_block_corr0.3_num_select.pdf | Bin 0 -> 6017 bytes .../figures_sim/figure_block_corr0.5_FN.pdf | Bin 0 -> 5935 bytes .../figures_sim/figure_block_corr0.5_FP.pdf | Bin 0 -> 6066 bytes .../figures_sim/figure_block_corr0.5_MSE.pdf | Bin 0 -> 5995 bytes .../figures_sim/figure_block_corr0.5_Stab.pdf | Bin 0 -> 6076 bytes .../figure_block_corr0.5_num_select.pdf | Bin 0 -> 6017 bytes .../figures_sim/figure_block_corr0.7_FN.pdf | Bin 0 -> 5932 bytes .../figures_sim/figure_block_corr0.7_FP.pdf | Bin 0 -> 6053 bytes .../figures_sim/figure_block_corr0.7_MSE.pdf | Bin 0 -> 6003 bytes .../figures_sim/figure_block_corr0.7_Stab.pdf | Bin 0 -> 6082 bytes .../figure_block_corr0.7_num_select.pdf | Bin 0 -> 6024 bytes .../figures_sim/figure_block_corr0.9_FN.pdf | Bin 0 -> 5923 bytes .../figures_sim/figure_block_corr0.9_FP.pdf | Bin 0 -> 6058 bytes .../figures_sim/figure_block_corr0.9_MSE.pdf | Bin 0 -> 5999 bytes .../figures_sim/figure_block_corr0.9_Stab.pdf | Bin 0 -> 6087 bytes .../figure_block_corr0.9_num_select.pdf | Bin 0 -> 6031 bytes .../figures_sim/figure_block_elnet.pdf | Bin 0 -> 20319 bytes .../figures_sim/figure_block_lasso.pdf | Bin 0 -> 20944 bytes simulations/figures_sim/figure_block_rf.pdf | Bin 0 -> 21899 bytes .../figures_sim/figure_block_rf_OOB_MSE.pdf | Bin 0 -> 14119 bytes .../figures_sim/figure_block_summary.pdf | Bin 0 -> 20815 bytes simulations/figures_sim/figure_ind_FN.pdf | Bin 0 -> 5916 bytes simulations/figures_sim/figure_ind_FP.pdf | Bin 0 -> 6157 bytes simulations/figures_sim/figure_ind_MSE.pdf | Bin 0 -> 5964 bytes simulations/figures_sim/figure_ind_Stab.pdf | Bin 0 -> 6056 bytes .../figures_sim/figure_ind_num_select.pdf | Bin 0 -> 6174 bytes .../figures_sim/figure_ind_summary.pdf | Bin 0 -> 10046 bytes .../figure_independent_compLasso.pdf | Bin 0 -> 6727 bytes .../figures_sim/figure_independent_elnet.pdf | Bin 0 -> 6663 bytes .../figures_sim/figure_independent_lasso.pdf | Bin 0 -> 6792 bytes .../figures_sim/figure_independent_rf.pdf | Bin 0 -> 6802 bytes .../figures_sim/figure_independent_rf_oob.pdf | Bin 0 -> 5630 bytes .../figure_mse_stab_lasso_independent.pdf | Bin 0 -> 18878 bytes ...re_mse_stab_lasso_independent_P50_N500.pdf | Bin 0 -> 13360 bytes ...igure_mse_stab_rf_independent_P50_N500.pdf | Bin 0 -> 5654 bytes ..._stab_rf_independent_P50_N500_mtrytest.pdf | Bin 0 -> 4816 bytes .../figures_sim/figure_toe_compLasso.pdf | Bin 0 -> 21216 bytes .../figures_sim/figure_toe_corr0.1_FN.pdf | Bin 0 -> 5921 bytes .../figures_sim/figure_toe_corr0.1_FP.pdf | Bin 0 -> 6064 bytes .../figures_sim/figure_toe_corr0.1_MSE.pdf | Bin 0 -> 5992 bytes .../figures_sim/figure_toe_corr0.1_Stab.pdf | Bin 0 -> 6079 bytes .../figure_toe_corr0.1_num_select.pdf | Bin 0 -> 6029 bytes .../figures_sim/figure_toe_corr0.3_FN.pdf | Bin 0 -> 5936 bytes .../figures_sim/figure_toe_corr0.3_FP.pdf | Bin 0 -> 6059 bytes .../figures_sim/figure_toe_corr0.3_MSE.pdf | Bin 0 -> 5975 bytes .../figures_sim/figure_toe_corr0.3_Stab.pdf | Bin 0 -> 6066 bytes .../figure_toe_corr0.3_num_select.pdf | Bin 0 -> 6028 bytes .../figures_sim/figure_toe_corr0.5_FN.pdf | Bin 0 -> 5953 bytes .../figures_sim/figure_toe_corr0.5_FP.pdf | Bin 0 -> 6074 bytes .../figures_sim/figure_toe_corr0.5_MSE.pdf | Bin 0 -> 5972 bytes .../figures_sim/figure_toe_corr0.5_Stab.pdf | Bin 0 -> 6064 bytes .../figure_toe_corr0.5_num_select.pdf | Bin 0 -> 6026 bytes .../figures_sim/figure_toe_corr0.7_FN.pdf | Bin 0 -> 5972 bytes .../figures_sim/figure_toe_corr0.7_FP.pdf | Bin 0 -> 6066 bytes .../figures_sim/figure_toe_corr0.7_MSE.pdf | Bin 0 -> 5975 bytes .../figures_sim/figure_toe_corr0.7_Stab.pdf | Bin 0 -> 6077 bytes .../figure_toe_corr0.7_num_select.pdf | Bin 0 -> 6037 bytes .../figures_sim/figure_toe_corr0.9_FN.pdf | Bin 0 -> 5987 bytes .../figures_sim/figure_toe_corr0.9_FP.pdf | Bin 0 -> 6064 bytes .../figures_sim/figure_toe_corr0.9_MSE.pdf | Bin 0 -> 5970 bytes .../figures_sim/figure_toe_corr0.9_Stab.pdf | Bin 0 -> 6074 bytes .../figure_toe_corr0.9_num_select.pdf | Bin 0 -> 6040 bytes simulations/figures_sim/figure_toe_elnet.pdf | Bin 0 -> 20305 bytes simulations/figures_sim/figure_toe_lasso.pdf | Bin 0 -> 21361 bytes simulations/figures_sim/figure_toe_rf.pdf | Bin 0 -> 22062 bytes .../figures_sim/figure_toe_rf_OOB_MSE.pdf | Bin 0 -> 14058 bytes simulations/figures_sim/figure_toe_rf_oob.pdf | Bin 0 -> 6430 bytes .../figures_sim/figure_toe_summary.pdf | Bin 0 -> 20492 bytes simulations/notebooks_simulations/.Rhistory | 512 + .../bootstrap_testing.ipynb | 2212 + .../notebooks_simulations/makeFigures.ipynb | 1412 + .../sim_block_compLasso.ipynb | 899 + .../sim_block_elnet.ipynb | 877 + .../sim_block_lasso.ipynb | 877 + .../notebooks_simulations/sim_block_rf.ipynb | 1118 + .../sim_block_summary.ipynb | 796 + .../sim_indepdent_compLasso.ipynb | 412 + .../sim_indepdent_elnet.ipynb | 400 + .../sim_indepdent_lasso.ipynb | 375 + .../sim_indepdent_rf.ipynb | 594 + .../sim_indepdent_rf_jnt.ipynb | 291 + .../sim_independent_summary.ipynb | 834 + .../sim_toe_compLasso.ipynb | 816 + .../notebooks_simulations/sim_toe_elnet.ipynb | 888 + .../notebooks_simulations/sim_toe_lasso.ipynb | 1219 + .../notebooks_simulations/sim_toe_rf.ipynb | 1194 + .../sim_toe_summary.ipynb | 1013 + simulations/results_summary/.DS_Store | Bin 0 -> 6148 bytes .../results_summary/sim_block_compLasso.txt | 81 + .../results_summary/sim_block_elnet.txt | 81 + .../results_summary/sim_block_lasso.txt | 81 + simulations/results_summary/sim_block_rf.txt | 81 + .../results_summary/sim_ind_compLasso.txt | 17 + simulations/results_summary/sim_ind_elnet.txt | 17 + simulations/results_summary/sim_ind_lasso.txt | 17 + .../results_summary/sim_ind_lasso_NULL.txt | 17 + simulations/results_summary/sim_ind_rf.txt | 17 + .../results_summary/sim_ind_rf_jnt.txt | 17 + .../results_summary/sim_toe_compLasso.txt | 81 + simulations/results_summary/sim_toe_elnet.txt | 81 + simulations/results_summary/sim_toe_lasso.txt | 81 + simulations/results_summary/sim_toe_rf.txt | 81 + .../results_summary/table_block_all.txt | 321 + simulations/results_summary/table_ind_all.txt | 65 + simulations/results_summary/table_toe_all.txt | 321 + .../sim_data_generation/run_sim_block.sh | 27 + .../sim_data_generation/run_sim_ind_toe.sh | 27 + .../sim_data_generation/sim_dat_block.R | 82 + .../sim_dat_ind_toeplitz.R | 80 + 207 files changed, 161741 insertions(+) create mode 100644 .DS_Store create mode 100644 code_method/.DS_Store create mode 100644 code_method/code_method/.DS_Store create mode 100644 code_method/code_method/.Rhistory create mode 100644 code_method/code_method/bootstrap_test_compLasso_rf.R create mode 100644 code_method/code_method/cv_method.R create mode 100644 code_method/code_method/cv_sim_apply.R create mode 100644 code_method/code_method/getStability.R create mode 100644 code_method/code_method/stab_data_applications.R create mode 100644 data_application/.DS_Store create mode 100644 data_application/88soils/.DS_Store create mode 100644 data_application/88soils/238_otu_table.biom create mode 100644 data_application/88soils/88soils_genus_table.RData create mode 100644 data_application/88soils/88soils_genus_table.txt create mode 100644 data_application/88soils/88soils_modified_metadata.txt create mode 100644 data_application/88soils/88soils_taxonomy.txt create mode 100644 data_application/88soils/boot/soils_ph_boot_compLasso.RData create mode 100644 data_application/88soils/boot/soils_ph_boot_rf.RData create mode 100644 data_application/88soils/filter_onepercent/soils_ph.RData create mode 100644 data_application/88soils/filter_onepercent/soils_ph_compLasso.RData create mode 100644 data_application/88soils/filter_onepercent/soils_ph_elnet.RData create mode 100644 data_application/88soils/filter_onepercent/soils_ph_lasso.RData create mode 100644 data_application/88soils/filter_onepercent/soils_ph_rf.RData create mode 100644 data_application/88soils/filter_onepercent/soils_slection_prob.txt create mode 100644 data_application/88soils/filter_onepercent/table_soil_88.txt create mode 100644 data_application/88soils/soils_ph.RData create mode 100644 data_application/88soils/soils_ph_compLasso.RData create mode 100644 data_application/88soils/soils_ph_elnet.RData create mode 100644 data_application/88soils/soils_ph_lasso.RData create mode 100644 data_application/88soils/soils_ph_rf.RData create mode 100644 data_application/88soils/soils_slection_prob.txt create mode 100644 data_application/BMI/.DS_Store create mode 100644 data_application/BMI/BMI_Lin_2014.RData create mode 100644 data_application/BMI/BMI_compLasso.RData create mode 100644 data_application/BMI/BMI_elnet.RData create mode 100644 data_application/BMI/BMI_lasso.RData create mode 100644 data_application/BMI/BMI_rf.RData create mode 100644 data_application/BMI/BMI_rf_alt.RData create mode 100644 data_application/BMI/BMI_rf_jnt.RData create mode 100644 data_application/BMI/bmi_pe_linOrigin.rda create mode 100644 data_application/BMI/bmi_slection_prob.txt create mode 100644 data_application/BMI/boot/BMI_boot_compLasso.RData create mode 100644 data_application/BMI/boot/BMI_boot_rf.RData create mode 100644 data_application/BMI/filter_onepercent/.DS_Store create mode 100644 data_application/BMI/filter_onepercent/BMI_Lin_2014.RData create mode 100644 data_application/BMI/filter_onepercent/BMI_compLasso.RData create mode 100644 data_application/BMI/filter_onepercent/BMI_elnet.RData create mode 100644 data_application/BMI/filter_onepercent/BMI_lasso.RData create mode 100644 data_application/BMI/filter_onepercent/BMI_rf.RData create mode 100644 data_application/BMI/filter_onepercent/bmi_slection_prob.txt create mode 100644 data_application/BMI/filter_onepercent/table_bmi_gut.txt create mode 100644 data_application/code_applications/.DS_Store create mode 100644 data_application/code_applications/88soils_stab_application.R create mode 100644 data_application/code_applications/BMI_stab_application.R create mode 100644 data_application/code_applications/data_processing.R create mode 100755 data_application/code_applications/run_88soils.sh create mode 100755 data_application/code_applications/run_BMI.sh create mode 100755 data_application/code_applications/run_data_applications.sh create mode 100644 data_application/notebooks_application/.DS_Store create mode 100644 data_application/notebooks_application/0. makeFigures.ipynb create mode 100644 data_application/notebooks_application/1.1. BMI_DataPreparation_ParameterGrid.ipynb create mode 100644 data_application/notebooks_application/1.2. BMI_results.ipynb create mode 100644 data_application/notebooks_application/1.2.2 BMI_results_filtered1%.ipynb create mode 100644 data_application/notebooks_application/1.3 BMI_testing.ipynb create mode 100644 data_application/notebooks_application/4.0 88soils_biom_table_preprocess (python).ipynb create mode 100644 data_application/notebooks_application/4.1. 88soils_DataPreparation_ParameterGrid.ipynb create mode 100644 data_application/notebooks_application/4.2 88soils_results.ipynb create mode 100644 data_application/notebooks_application/4.2 88soils_results_filter1%.ipynb create mode 100644 data_application/notebooks_application/4.3 88soils_testing.ipynb create mode 100644 ms_writing_figs/.DS_Store create mode 100644 ms_writing_figs/block_easy_stab.png create mode 100644 ms_writing_figs/methods_mse_rate_new.png create mode 100644 ms_writing_figs/methods_stab.png create mode 100644 ms_writing_figs/mse_stab_fnr_new.png create mode 100644 ms_writing_figs/mse_stab_fpr_new.png create mode 100644 ms_writing_figs/toe_easy_stab.png create mode 100644 simulations/.DS_Store create mode 100644 simulations/code_sim_compare/CL_sim_apply.R create mode 100644 simulations/code_sim_compare/block_results.R create mode 100644 simulations/code_sim_compare/boot_CL_testing.R create mode 100644 simulations/code_sim_compare/boot_RF_testing.R create mode 100644 simulations/code_sim_compare/ind_results.R create mode 100755 simulations/code_sim_compare/run_block_cv.sh create mode 100755 simulations/code_sim_compare/run_boot_rf.sh create mode 100755 simulations/code_sim_compare/run_ind_cv.sh create mode 100755 simulations/code_sim_compare/run_toe_cv.sh create mode 100644 simulations/code_sim_compare/toe_results.R create mode 100644 simulations/figures_sim/.DS_Store create mode 100644 simulations/figures_sim/figure_block_compLasso.pdf create mode 100644 simulations/figures_sim/figure_block_corr0.1_FN.pdf create mode 100644 simulations/figures_sim/figure_block_corr0.1_FP.pdf create mode 100644 simulations/figures_sim/figure_block_corr0.1_MSE.pdf create mode 100644 simulations/figures_sim/figure_block_corr0.1_Stab.pdf create mode 100644 simulations/figures_sim/figure_block_corr0.1_num_select.pdf create mode 100644 simulations/figures_sim/figure_block_corr0.3_FN.pdf create mode 100644 simulations/figures_sim/figure_block_corr0.3_FP.pdf create mode 100644 simulations/figures_sim/figure_block_corr0.3_MSE.pdf create mode 100644 simulations/figures_sim/figure_block_corr0.3_Stab.pdf create mode 100644 simulations/figures_sim/figure_block_corr0.3_num_select.pdf create mode 100644 simulations/figures_sim/figure_block_corr0.5_FN.pdf create mode 100644 simulations/figures_sim/figure_block_corr0.5_FP.pdf create mode 100644 simulations/figures_sim/figure_block_corr0.5_MSE.pdf create mode 100644 simulations/figures_sim/figure_block_corr0.5_Stab.pdf create mode 100644 simulations/figures_sim/figure_block_corr0.5_num_select.pdf create mode 100644 simulations/figures_sim/figure_block_corr0.7_FN.pdf create mode 100644 simulations/figures_sim/figure_block_corr0.7_FP.pdf create mode 100644 simulations/figures_sim/figure_block_corr0.7_MSE.pdf create mode 100644 simulations/figures_sim/figure_block_corr0.7_Stab.pdf create mode 100644 simulations/figures_sim/figure_block_corr0.7_num_select.pdf create mode 100644 simulations/figures_sim/figure_block_corr0.9_FN.pdf create mode 100644 simulations/figures_sim/figure_block_corr0.9_FP.pdf create mode 100644 simulations/figures_sim/figure_block_corr0.9_MSE.pdf create mode 100644 simulations/figures_sim/figure_block_corr0.9_Stab.pdf create mode 100644 simulations/figures_sim/figure_block_corr0.9_num_select.pdf create mode 100644 simulations/figures_sim/figure_block_elnet.pdf create mode 100644 simulations/figures_sim/figure_block_lasso.pdf create mode 100644 simulations/figures_sim/figure_block_rf.pdf create mode 100644 simulations/figures_sim/figure_block_rf_OOB_MSE.pdf create mode 100644 simulations/figures_sim/figure_block_summary.pdf create mode 100644 simulations/figures_sim/figure_ind_FN.pdf create mode 100644 simulations/figures_sim/figure_ind_FP.pdf create mode 100644 simulations/figures_sim/figure_ind_MSE.pdf create mode 100644 simulations/figures_sim/figure_ind_Stab.pdf create mode 100644 simulations/figures_sim/figure_ind_num_select.pdf create mode 100644 simulations/figures_sim/figure_ind_summary.pdf create mode 100644 simulations/figures_sim/figure_independent_compLasso.pdf create mode 100644 simulations/figures_sim/figure_independent_elnet.pdf create mode 100644 simulations/figures_sim/figure_independent_lasso.pdf create mode 100644 simulations/figures_sim/figure_independent_rf.pdf create mode 100644 simulations/figures_sim/figure_independent_rf_oob.pdf create mode 100644 simulations/figures_sim/figure_mse_stab_lasso_independent.pdf create mode 100644 simulations/figures_sim/figure_mse_stab_lasso_independent_P50_N500.pdf create mode 100644 simulations/figures_sim/figure_mse_stab_rf_independent_P50_N500.pdf create mode 100644 simulations/figures_sim/figure_mse_stab_rf_independent_P50_N500_mtrytest.pdf create mode 100644 simulations/figures_sim/figure_toe_compLasso.pdf create mode 100644 simulations/figures_sim/figure_toe_corr0.1_FN.pdf create mode 100644 simulations/figures_sim/figure_toe_corr0.1_FP.pdf create mode 100644 simulations/figures_sim/figure_toe_corr0.1_MSE.pdf create mode 100644 simulations/figures_sim/figure_toe_corr0.1_Stab.pdf create mode 100644 simulations/figures_sim/figure_toe_corr0.1_num_select.pdf create mode 100644 simulations/figures_sim/figure_toe_corr0.3_FN.pdf create mode 100644 simulations/figures_sim/figure_toe_corr0.3_FP.pdf create mode 100644 simulations/figures_sim/figure_toe_corr0.3_MSE.pdf create mode 100644 simulations/figures_sim/figure_toe_corr0.3_Stab.pdf create mode 100644 simulations/figures_sim/figure_toe_corr0.3_num_select.pdf create mode 100644 simulations/figures_sim/figure_toe_corr0.5_FN.pdf create mode 100644 simulations/figures_sim/figure_toe_corr0.5_FP.pdf create mode 100644 simulations/figures_sim/figure_toe_corr0.5_MSE.pdf create mode 100644 simulations/figures_sim/figure_toe_corr0.5_Stab.pdf create mode 100644 simulations/figures_sim/figure_toe_corr0.5_num_select.pdf create mode 100644 simulations/figures_sim/figure_toe_corr0.7_FN.pdf create mode 100644 simulations/figures_sim/figure_toe_corr0.7_FP.pdf create mode 100644 simulations/figures_sim/figure_toe_corr0.7_MSE.pdf create mode 100644 simulations/figures_sim/figure_toe_corr0.7_Stab.pdf create mode 100644 simulations/figures_sim/figure_toe_corr0.7_num_select.pdf create mode 100644 simulations/figures_sim/figure_toe_corr0.9_FN.pdf create mode 100644 simulations/figures_sim/figure_toe_corr0.9_FP.pdf create mode 100644 simulations/figures_sim/figure_toe_corr0.9_MSE.pdf create mode 100644 simulations/figures_sim/figure_toe_corr0.9_Stab.pdf create mode 100644 simulations/figures_sim/figure_toe_corr0.9_num_select.pdf create mode 100644 simulations/figures_sim/figure_toe_elnet.pdf create mode 100644 simulations/figures_sim/figure_toe_lasso.pdf create mode 100644 simulations/figures_sim/figure_toe_rf.pdf create mode 100644 simulations/figures_sim/figure_toe_rf_OOB_MSE.pdf create mode 100644 simulations/figures_sim/figure_toe_rf_oob.pdf create mode 100644 simulations/figures_sim/figure_toe_summary.pdf create mode 100644 simulations/notebooks_simulations/.Rhistory create mode 100644 simulations/notebooks_simulations/bootstrap_testing.ipynb create mode 100644 simulations/notebooks_simulations/makeFigures.ipynb create mode 100644 simulations/notebooks_simulations/sim_block_compLasso.ipynb create mode 100644 simulations/notebooks_simulations/sim_block_elnet.ipynb create mode 100644 simulations/notebooks_simulations/sim_block_lasso.ipynb create mode 100644 simulations/notebooks_simulations/sim_block_rf.ipynb create mode 100644 simulations/notebooks_simulations/sim_block_summary.ipynb create mode 100644 simulations/notebooks_simulations/sim_indepdent_compLasso.ipynb create mode 100644 simulations/notebooks_simulations/sim_indepdent_elnet.ipynb create mode 100644 simulations/notebooks_simulations/sim_indepdent_lasso.ipynb create mode 100644 simulations/notebooks_simulations/sim_indepdent_rf.ipynb create mode 100644 simulations/notebooks_simulations/sim_indepdent_rf_jnt.ipynb create mode 100644 simulations/notebooks_simulations/sim_independent_summary.ipynb create mode 100644 simulations/notebooks_simulations/sim_toe_compLasso.ipynb create mode 100644 simulations/notebooks_simulations/sim_toe_elnet.ipynb create mode 100644 simulations/notebooks_simulations/sim_toe_lasso.ipynb create mode 100644 simulations/notebooks_simulations/sim_toe_rf.ipynb create mode 100644 simulations/notebooks_simulations/sim_toe_summary.ipynb create mode 100644 simulations/results_summary/.DS_Store create mode 100644 simulations/results_summary/sim_block_compLasso.txt create mode 100644 simulations/results_summary/sim_block_elnet.txt create mode 100644 simulations/results_summary/sim_block_lasso.txt create mode 100644 simulations/results_summary/sim_block_rf.txt create mode 100644 simulations/results_summary/sim_ind_compLasso.txt create mode 100644 simulations/results_summary/sim_ind_elnet.txt create mode 100644 simulations/results_summary/sim_ind_lasso.txt create mode 100644 simulations/results_summary/sim_ind_lasso_NULL.txt create mode 100644 simulations/results_summary/sim_ind_rf.txt create mode 100644 simulations/results_summary/sim_ind_rf_jnt.txt create mode 100644 simulations/results_summary/sim_toe_compLasso.txt create mode 100644 simulations/results_summary/sim_toe_elnet.txt create mode 100644 simulations/results_summary/sim_toe_lasso.txt create mode 100644 simulations/results_summary/sim_toe_rf.txt create mode 100644 simulations/results_summary/table_block_all.txt create mode 100644 simulations/results_summary/table_ind_all.txt create mode 100644 simulations/results_summary/table_toe_all.txt create mode 100755 simulations/sim_data_generation/run_sim_block.sh create mode 100755 simulations/sim_data_generation/run_sim_ind_toe.sh create mode 100644 simulations/sim_data_generation/sim_dat_block.R create mode 100644 simulations/sim_data_generation/sim_dat_ind_toeplitz.R diff --git a/.DS_Store b/.DS_Store new file mode 100644 index 0000000000000000000000000000000000000000..5ea4d83b6e86761810d579e27c911ccb7fe2b3ac GIT binary patch literal 14340 zcmeHN4R93I9smE20DH?pHZ*Q7Ax92ENC+XxB_SV>#LEXE3@E7ykN_Gkxh1)Jxr?`V z2@s%QE$y_F)>3V&wYJvQQS65zcBWIsep$ylq9aof`Z3npPTLu)ZAYhH)BfLk_nl2H zahOW=HnaQoz5jb}cVB+{e!t(l1psUfxg7wN03gxMQpG}tV*qxR#%(Ol_DS0uDnZ)q zw9~l)5Cj+W(>_XnsW%f>xIQ}I^$$?Z zX9q^T9z9rDc>zsxGUhTLE=%%4`Nr;H|9E%M6%6UEuD~vq>v9E$2g2t)e!n+*?i$$c z(Z>6g>^8qI=<@iq0B`JZYgA?T4v)|6A8+-Cd~Tih(=7s$WR}eRO76sjqqe%t?r_u` zDzi^G9BUiO>~)ouhYp#goFYflradG34@?|9boegus2H9u=ou5YyD6LExxGVVe&MA@!@Hbw)p zW6-9SnJ0L9NB>WtFKcQy&cYz1}Xr?g@JQzP{d|wl5gzC?V9lQ}+jg zZM?I7MG5KJ4I1_38PnRSN9t-ZyV}-K){VYh3+R*M-~CTq7E9WzDrN zk(5HIH#Fe6CFBY27kw?Y+Re%tX}6p1T5ut%Sb%n1j)ho>4Y&^1 z<3{Yl4`Mg=U>^?PAZoZ5Z^j^oa2)sHVf+|=96y1d#FO|Xya&I6U&V*;G(Lup<9G3C zJclpfi+CA-fv@4~_-Ap0rpSx1C35c~#WyKU4eRg(U^-z8>jHwcVp)0B!}{e#49g$L zzDCWl7nPP**Eh9BVUYBnPXK2;A~^^J$~gKW=n|;6=H@NQw^<6d5iYfT$!|*J4N~Sa z1WM;w?Pbdg3KRxCkzH9_U{R3X4l|FgE~cm{9IL3L*c^HhM6715r9hcWm=`S@)>$k{ z2E7y_+I%fV=Mnrxw5^?@z+O+Y5q_sd?~8B={s3>G3Fi}D7h@hFwgk(u2Ai=1J8?5^ z!Rv54_To<5g}Vu_L+HT|am2|kY(lCZlu3A-0lV|T>g-tGk6LjVap(#x!cwfJnW+}*un{-#`DqhwrMan(&rNO|K_A|N0i3|w zXij2W`gzWw_u<3%P2$kANwdzTq*>>wsoz+yJ{Doh9Y(mcZOHC;mvH&Ah5bV~`7JFh zUR}9%-L+Sk`qUgoXR>W()W>QU*lo5j^|7pZg-zzf$1)`=D8`77Wy;o2L=Yd#I;vz_ znD|(>woaDA#K*Gh8!0M?k7b=L6pawyEZ}z^oPzHW^j?CC1h`j8y1fB^hyUPQ%)}hb z#eB5kQY^+*xEjlF4FRs6%eOWTIws+6AOW|HXt5t%B;wpei#{AB;OQjg4&jIKDBeo6 zcpOjQ?L>+vi5Bm{ZzO@QGYNbTObxym)m=V);9p$_r>hyExKuR_sBMZVIf>E|Z#$j4 zT1SBS;sx|OyPtl4*U0ma&@l+ZEPs{x{;JCQE9Cp9cwR&KVK_20%}0E`q5QCRWL-7# zBWtlN$H|Oj1rkvv+`Vvjz(os9oYtsmCj&3>(k1y;Il&k4*_!c+J>P1LH%Z|JD~hZ# z_ehm&*jG+ZsnQ$7{mQ|fXk1Q+z2uG@erPxmHe0rm($9Ry!V6rh#)!{ z=|Yxp0jtdCsv^&xx11?gMTiW!D9_BqwTKnvl}eIg;u(2OUIkOp${Z1^l53b?R_2Om zo!r0_wUQyCjdC;7&dNLyZIRpfs+a<^f}f%MAh^xPEDpCNBtV$_C?UYD=JKO1EI--_ zcCi&CCO-u9nEdc_<; VLUR`SCTeDU&QBHwXtYGR2w?8~R8uW2Yh z46mLfKT>{9c9oIam0Q$K`Q!#Pm%2>~!c#l4>|nW82--tg2J(hR}q?Ez)Q*;wdTz zi_S<2p6Agb+v+F>t|?Ej;8oQL7QC)L!Gbq7MJ+h*w^eSR#DQkM@M8qT2Wipg2L!@P z@N0tJAK@`mK%L_I|7m(ihteaE9)bV&5x|W0?)FxCipVzt$q!_r0z2({ zXlHevqMdDY&YRGIRbd(aIUZ%$=Xmw3EV5C|$<8S~B2qe|?SK9uApP*3_Wx=B|6cv5 LEv4KH`~Uv}gkkOP literal 0 HcmV?d00001 diff --git a/code_method/.DS_Store b/code_method/.DS_Store new file mode 100644 index 0000000000000000000000000000000000000000..cd7003b071a7fc258c50a6f6cfe064cc482df662 GIT binary patch literal 8196 zcmeHMTWl0n7(U;&z)TtFv=%7C0xPv#E9}Z0MYipNU?DVaOItw8?#|GT%+A!E*)32? ziqZIDykUG$6O6`0G|{N|h$h}*c+eOdk>ZOFJ{S{>FPP|y|Cuw3+?MEr34}SxIscjS z|Npss^PM^K&oIW&R@4)WH8RE|%3P{bsklz!dY-RIk)VYuLH>;Ovph4H#|D{mjdj=% zA`l`FA`l`FA`l{QGax``HcwK8b6;q~GDILm;I>47KObV0xl9IfOi2IHL4_XzkgTR= zKT)0H0N*DT$YdbLg!EmhPZ2#Ja77SeK)91W#?474134z7aAy$i48h0RpawU8-lYyG&!aUu|f2Y%gQlM!|PBb%RXy z_L#Qr47WK&TX+3_(n29gvLyGbvqwe}YgV?z5{Xr#EwPbAV)go#*xGn}bX1mRH77Q1 z+m}Cdc;v|F(U-*%5j-YX?Nv*DrSf{MfkZmz{-UNh&|Y4fnruhzN*&NjO2EEpvMq9^BA#k}qIt97}Il`C2q&uFzQZcJ^p zZm!^1R;S~dp6S?qy`FK zT}Htr*_4cnMau6?pB25cdFhH(>+f$LuT|^nl?G*IPsw!6tYvf$o4PmHmvM83t(*41 zZn`D5XYMzRf?OBbB6r!DyfI#{*3~x7*0kPY)_kmJdWX~|N%C9g&eN2=I?ZB-qjN7^ z{Ya91&4PKFwuful3kH>X;IMF!rgXW4fSL&mm$fKL*8$>&>dL}3o=~)IE0Z-WRhPv$ ztJf%6Pf09I?Fbq-+^cB4bUX7jWw#D3LGz}hrai((-kx#2okNCAv-&C+K1H+YMTr4WG$`7i!Y$01m2U8c@PaEeLdzzhKr`T!sF+0P)W9QjV>{oV?{lWfZ ze}O?pJsL0rGcg}6SdJBlV?8!w3m!lxy3vDP^dXA@n0OQi;NdWiU=&C36rRQNcmc=p zD&E9fIElCMAwI?D_yS+z8=S)g&f`b?j0^ZpOfXU={&sO)F7Z3nDr|JiEd?7r^33(= z93?t8C`)d7I-i@)IebUMjG41y%}bZBT(`095(loj>sJu-axVG=6b$p3S7w%AJ28Du zbgnYL(jMt1t{Mj=PB?YSxNp56dY42TQzidWSrlC&(?(Dsw2Pv5OOhH9x_I;+nYgc3 z3EgUCtwbzWCkgEahQ%J{aFugBXPvi4gx!G2*E z5y2EpBerV9)WyWoHAwm_eGnbkfnCJZKJ3O`7}$?NVk_rr5hWbNF+7eZ@FX$zIb!T_ zyoi@@0k917JNm!092&gr01z*Z75Xft3%2Fh12k%RzlkZ|Qe~BxZ6lBWH&_1te@m?? zoNS0dh`@hC0M)5)Q`M5N zA_RAl{T%zA9Y0$+8$cL5&o6*JfQ(77bI7d4q+L?OI#$yq2JK^m3TsTT!non>6~9pd zS-VqAQSzy9@8?NkzPs!C?;{oTmy7tyn7uiCW+z8o+nohPy z?hCz_?5n~Pne!$q9Mkt~hjnDE4GJ>Hx}R29;I)PO*5E$sSR;-%;k*j+3YOcr?_aq3 z$)33au7E4>4-{a`7R!1GJ$D6M0aswFfczgKlVEOGC)8gDGra;39sHM z|LXhu|31mzTme_$Pbm<(!_jcSDOqf7Oip5LWV&M#6Tdp)mcoLDV){xbK4DU0eUt(* UH>?w~hUNzWmBBMt;71ks1Oq%zE&u=k literal 0 HcmV?d00001 diff --git a/code_method/code_method/.Rhistory b/code_method/code_method/.Rhistory new file mode 100644 index 0000000..27d7b73 --- /dev/null +++ b/code_method/code_method/.Rhistory @@ -0,0 +1,512 @@ +sj <- seq(min(size), max(size), length=20) ## knots +b <- prs.fit(wear, size, sj, 2) ## penalized fit +plot(size, wear) ## plot data +Xp <- tf.X(s, sj) ## prediction matrix +lines(s, Xp %*% coef(b)) ## plot the smooth +rho = seq(-9, 11, length=90) +n <- length(wear) +v <- rep(NA, 90) +for (i in 1:90){ ## loop through smoothing params +b <- prs.fit(wear, size, sj, exp(rho[i])) ## fit model +trF <- sum(influence(b)$hat[1:n]) ## extract EDF +rss <- sum((wear - fitted(b)[1:n]) ^2) ## residual SS +V[i] <- n*rss/(n-trF)^2 ## GCV score +} +rho = seq(-9, 11, length=90) +n <- length(wear) +V <- rep(NA, 90) +for (i in 1:90){ ## loop through smoothing params +b <- prs.fit(wear, size, sj, exp(rho[i])) ## fit model +trF <- sum(influence(b)$hat[1:n]) ## extract EDF +rss <- sum((wear - fitted(b)[1:n]) ^2) ## residual SS +V[i] <- n*rss/(n-trF)^2 ## GCV score +for (i in 1:90){ ## loop through smoothing params +b <- prs.fit(wear, size, sj, exp(rho[i])) ## fit model +trF <- sum(influence(b)$hat[1:n]) ## extract EDF +rss <- sum((wear - fitted(b)[1:n]) ^2) ## residual SS +V[i] <- n*rss/(n-trF)^2 ## GCV score +} +pplot(rho, V, type='l', xlab=expression(log(lambda)), main='GCV score') +sp <- exp(rho[V == min(V)]) ## extract optimal sp +b <- prs.fit(wear, size, sj, sp) ## re-fit +plot(size, wear, main='GCV optimal fit') +lines(s, Xp %*% coef(b)) +plot(rho, V, type='l', xlab=expression(log(lambda)), main='GCV score') +plot(rho, V, type='l', xlab=expression(log(lambda)), main='GCV score') +V +rho = seq(-9, 11, length=90) +n <- length(wear) +V <- rep(NA, 90) +for (i in 1:90){ ## loop through smoothing params +b <- prs.fit(wear, size, sj, exp(rho[i])) ## fit model +trF <- sum(influence(b)$hat[1:n]) ## extract EDF +rss <- sum((wear - fitted(b)[1:n]) ^2) ## residual SS +V[i] <- n*rss/(n-trF)^2 ## GCV score +} +V +plot(rho, V, type='l', xlab=expression(log(lambda)), main='GCV score') +sp <- exp(rho[V == min(V)]) ## extract optimal sp +b <- prs.fit(wear, size, sj, sp) ## re-fit +plot(size, wear, main='GCV optimal fit') +lines(s, Xp %*% coef(b)) +sp +X0 <- tf.X(size, sj) ## X in original parameterization +D <- rbind(0, 0, diff(diag(20), difference=2)) +diag(D) <- 1 ## augmented D +X <- t(backsolve(t(D), t(X0))) ## re-parametrized X +Z <- X[, -c(1,2)]; X<- X[, 1:2] ## mixed model matrices +## estimate smoothing and variance parameters +m <- optim(c(0,0), llm, method='BFGS', X=X, Z=Z, y=wear) ## Bayesian model +b <- attr(llm(m$par, X, Z, wear), 'b') ## extract coefficients +## plot results +plot(size, wear) +Xp1 <- t(backsolve(t(D), t(Xp))) ## re-parameterized pred.mat. +lines(s, Xp1 %*% as.numeric(b), col='grey', lwd=2) +library(nlme) +g <- factor(rep(1, nrow(X))) ## dummy factor +m <- lme(wear ~ X - 1, random=list(g=pdIdent(~ Z-1))) +lines(s, Xp1 %*% as.numeric(coef(m))) ## and to plot +tf.XD <- function(x, xk, cmx=NULL, m=2){ +## get X and D subject to constraint +nk <- length(xk) +X <- tf.X(x, xk)[, -nk] ## basis matrix +D <- diff(diag(nk), differences=m)[, -nk] ## root penalty +if (is.null(cmx)) cmx <- colMeans(X) +X <- sweep(X, 2, cmx) ## subtract cmx from columns +list (X=X, D=D, cmx=cmx) +} +am.fit <- function (y,x,v,sp,k=10) { +## setup basis and penalties... +xk <- seq(min(x), max(x), length=k) +xdx <- tf.XD(x, xk) +vk <- seq(min(v), max(v), length=k) +xdv <- tf.XD(v, vk) +## create augmented model matrix and response ... +nD <- nrow(xdx$D) * 2 +sp <- sqrt(sp) +X <- cbind(c(rep(1, nrow(xdx$X)), rep(0, nD)), +rbind(xdx$X, sp[1]*xdx$D, xdv$D*0), +rbind(xdv$X, xdx$D*0, sp[2]*xdv$D)) +y1 <- c(y, rep(0, nD)) +## fit model .. +b <- lm(y1 ~ X - 1) +## compute some useful quantities ... +n <- length(y) +trA <- sum(influence(b)$hat[1:n]) ## EDF +rsd <- y - fitted(b)[1:n] ## residuals +rss <- sum(rsd^2) ## residual SS +sig.hat <- rss/(n-trA) ## residual variance +gcv <- sig.hat*n/(n-trA) ## GCV score +Vb <- vcov(b)*sig.hat/summary(b)$sigma^2 ## coef cov matrix +## return fitted model ... +list(b=coef(b), Vb=Vb, edf=trA, gcv=gcv, fitted=fitted(b)[1:n], +rsd=rsd, xk=list(xk, vk), cmx=list(xdx$cmx, xdv$cmx)) +} +am.gcv <- function(lsp, y, x, v, k){ +## function suitable for GCV optimization by optim +am.fit(y, x, v, exp(lsp), k)$gcv +} +require(mgcv) +## mgcv package +library(mgcv) +data(trees) +ct1 <- gam(Volume ~ s(Height) + s(Girth), family = Gamma(link=log), data=trees) +ct1 +plot(ct1, residuals=TRUE) +## use penalized cubic regression splines +ct2 <- gam(Volume ~ s(Height, bs='cr') + s(Girth, bs='cr'), +family=Gamma(link=log), data=trees) +cts +ct2 +## change dimension of basis (i.e. max df; default is 10) +ct3 <- gam(Volume ~ s(Height, bs='cr') + s(Girth, bs='cr',k=20), +family=Gamma(link=log), data=trees) +ct3 +## adjust gamma param to avoid overfitting of GCV +ct4 <- gam(Volume ~ s(Height, bs='cr') + s(Girth, bs='cr'), +family=Gamma(link=log), data=trees, gamma=1.4) +ct4 +## same model, different code +ct5 <- gam(Volume ~ s(Height, Girth,k=25), +family=Gamma(link=log), data=trees) +ct5 +plot(ct5, too.far=0.15) +## user tensor product smooth ('te') +ct6 <- gam(Volume ~ te(Height, Girth,k=25), +family=Gamma(link=log), data=trees) +## user tensor product smooth ('te') +ct6 <- gam(Volume ~ te(Height, Girth,k=5), +family=Gamma(link=log), data=trees) +ct6 +plot(ct6, too.far=0.15) +## mix smooth and parametric model +gam(Volume ~ Height + s(Girth), family = Gamma(link=log), data=trees) +labels=c('small', 'medium', 'large') +## change Height to be categorical +trees$Hclass <- factor(floor(trees$Height/10) -5, +labels=c('small', 'medium', 'large')) +ct7 <- gam(Volume ~ Hclass + s(Girth), family=Gamma(link=log), data=trees) +par(mfrow=c(1,2)); plot(ct7,all.terms=TRUE) +anova(ct7) +AIC(ct7) +summary(ct7) +22.5*4*4 +FEAST - a scalable algorithm for quantifying the origins of complex microbial communities +----------------------- +300 * 0.85 +300 * 0.95 +114.32-107.7 +19.05 + 5.40 +9.91 + 21.32 - 22.04 + 20.94 +391.60/5 +library(vegan) +5000/12 +667.5+445 +667.5+445 +300*0.85 +350*0.85 +250*0.85 +325*0.85 +25*0.85 +100*0.85 +299.99*0.9 +299.99*0.95 +30*0.85 +25*0.85 +160*0.85 +25*0.85 +175*0.85 +295*0.85 +50.44+48.92 +41.88+42.61 +41.88+42.61+48.87+42.61+41.88+20.49 +1.24+123.11 +246.05+42.98+8.99+25.74+24.45+15.16+19.83+38.58+25.25+9.89+15.05 +179.92+25.67+114.32+45.21+126.98+109.01+74.85+21.48+6.62+179.92+25.67+7.63+19.99 +19.99+126.98+109.01+7.63+74.85+114.32+21.48+6.62+179.92+25.67 +8.28+44.24+8.28+55.91+2.96+41.38+54.60 +45.16+46.69 +686.47+215.65+91.85 +99.36+19.67+471.97+60 +410+113+1010+705 +25.67+179.92+114.32+21.48+74.85-107.7+15.69+109.01+25.74+45.21+126.98-20.46+19.99+22.27 +3262.33+123.11 +1200+400+3500 +5100+100 +5200+300 ++1000 +1200+400+3500+100 +5200+300 +3800-5500 +1700-500 +1200+400+1000+3500+100+300 +1000+200+400+800+3500+100+300 +15*0.85 +log(10) +0.2*360 +39.99+10+5 +66/4 +6252.42/167.89 +6252.42-167.89*37 +67*167.88 + 84.33*47 +167*167.88 + 84.33*47 +27600.04/167.92 +27600-167.92*164 +27290.96/167.92 +1.6*12 +1.66*12 +85266+29907-19819 +19400*0.1+(71963-19400)*0.12 +85266+29907 +115-33 +19400*0.1+(78950-19400)*0.12 + (85098-78950)*0.22 +1457+9596 +1457+8596 +(85098-78950)*0.22 +85-78 +2.4*12*30 +504*(1+0.04)*30 +504*(1+0.04*30) +864-504 +360/30 +504*0.04 +9700*0.1 + (3475-9701)*0.12 + (84200-39475)*0.22 +9700*0.1 + (3475-9701)*0.12 + (60000-39475)*0.22 +9700*0.1 + (39475-9700)*0.12 + (60000-39475)*0.22 +1/6*100 +9058.5/60000*100 +4250/2/40 +4250/15/8 +4250/11/8 +40*8*20 +4250*2-800 +4250/11/8 +10200/12 +102000/12 +Q_true=c(2,2) +D_true=diag(rep(1,sum(Q_true)));D_true[1,1]=2;D_true[3,3]=2 +D_true +560-336 +224/2 +379-336 +library(vegan) +require(devtools) +install_version('vegan', version='2.4-5', repos = "http://cran.us.r-project.org") +remove.packages('vegan') +library(vegan) +packageurl <- "http://cran.r-project.org/src/contrib/Archive/vegan/vegan_2.4-5.tar.gz" +install.packages(packageurl, repos=NULL, type="source") +library(vegan) +require(vegan) +library(vegan) +install.packages('vegan') +x = c(0.091334011 0.025905727 0.01974161 0.018856484 0.013011922 0.012761575 0.01100478 0.010578836 0.009979589 0.00904816) +x = c(0.091334011, 0.025905727, 0.01974161, 0.018856484, 0.013011922, 0.012761575, 0.01100478, 0.010578836, 0.009979589, 0.00904816) +sum(x) +x = c(0.091334011, 0.025905727, 0.01974161, 0.018856484, +0.013011922, 0.012761575, 0.01100478, 0.010578836, +0.009979589, 0.00904816, 0.008958018, 0.008589943, +0.00785287, 0.00765184, 0.007467706, 0.007287216, +0.006965848, 0.006755768, 0.006636542, 0.006301882, +0.0061295, 0.006015469, 0.005800592, 0.005783671, +0.005778392, 0.0055334, 0.005382178, 0.005257952, +0.005182785, 0.005143431, 0.005030947, 0.00481717, +0.004785166, 0.004694106, 0.004601204, 0.004475299, +0.004354599, 0.004318955, 0.004270652, 0.004198983, +0.004157922, 0.004062977, 0.003989954, 0.003962911, +0.003896029, 0.003848106, 0.003802821, 0.003784158 +0.003735151, 0.003614947, 0.003559739, 0.003538204, +0.003528331, 0.003471536, 0.00344668, 0.003402687, +0.003379342, 0.003304449, 0.003277739, 0.003195305, +0.003151292, 0.003135639, 0.00311487, 0.003099307, +0.003074084, 0.003056642, 0.003002414, 0.002963455, +0.002945777, 0.002918342, 0.002905173, 0.002885431, +0.002874419, 0.002847796, 0.002830868, 0.002812113, +0.002779548, 0.002738537, 0.002712988, 0.002709081) +x = c(0.091334011, 0.025905727, 0.01974161, 0.018856484, +0.013011922, 0.012761575, 0.01100478, 0.010578836, +0.009979589, 0.00904816, 0.008958018, 0.008589943, +0.00785287, 0.00765184, 0.007467706, 0.007287216, +0.006965848, 0.006755768, 0.006636542, 0.006301882, +0.0061295, 0.006015469, 0.005800592, 0.005783671, +0.005778392, 0.0055334, 0.005382178, 0.005257952, +0.005182785, 0.005143431, 0.005030947, 0.00481717, +0.004785166, 0.004694106, 0.004601204, 0.004475299, +0.004354599, 0.004318955, 0.004270652, 0.004198983, +0.004157922, 0.004062977, 0.003989954, 0.003962911, +0.003896029, 0.003848106, 0.003802821, 0.003784158 +0.003735151, 0.003614947, 0.003559739, 0.003538204, +0.003528331, 0.003471536, 0.00344668, 0.003402687, +0.003379342, 0.003304449, 0.003277739, 0.003195305, +0.003151292, 0.003135639, 0.00311487, 0.003099307, +0.003074084, 0.003056642, 0.003002414, 0.002963455, +0.002945777, 0.002918342, 0.002905173, 0.002885431, +0.002874419, 0.002847796, 0.002830868, 0.002812113, +0.002779548, 0.002738537, 0.002712988, 0.002709081) +x = c(0.091334011, 0.025905727, 0.01974161, 0.018856484, +0.013011922, 0.012761575, 0.01100478, 0.010578836, +0.009979589, 0.00904816, 0.008958018, 0.008589943 +x = c(0.091334011, 0.025905727, 0.01974161, 0.018856484, +0.013011922, 0.012761575, 0.01100478, 0.010578836, +0.009979589, 0.00904816, 0.008958018, 0.008589943, +0.00785287, 0.00765184, 0.007467706, 0.007287216, +0.006965848, 0.006755768, 0.006636542, 0.006301882, +0.0061295, 0.006015469, 0.005800592, 0.005783671, +0.005778392, 0.0055334, 0.005382178, 0.005257952, +0.005182785, 0.005143431, 0.005030947, 0.00481717, +0.004785166, 0.004694106, 0.004601204, 0.004475299, +0.004354599, 0.004318955, 0.004270652, 0.004198983, +0.004157922, 0.004062977, 0.003989954, 0.003962911, +0.003896029, 0.003848106, 0.003802821, 0.003784158 +0.003735151, 0.003614947, 0.003559739, 0.003538204, +0.003528331, 0.003471536, 0.00344668, 0.003402687, +0.003379342, 0.003304449, 0.003277739, 0.003195305, +0.003151292, 0.003135639, 0.00311487, 0.003099307, +0.003074084, 0.003056642, 0.003002414, 0.002963455, +0.002945777, 0.002918342, 0.002905173, 0.002885431, +0.002874419, 0.002847796, 0.002830868, 0.002812113, +0.002779548, 0.002738537, 0.002712988, 0.002709081) +x = c(0.091334011, 0.025905727, 0.01974161, 0.018856484, +0.013011922, 0.012761575, 0.01100478, 0.010578836) +x = c(0.091334011, 0.025905727, 0.01974161, 0.018856484, +0.013011922, 0.012761575, 0.01100478, 0.010578836, +0.009979589, 0.00904816, 0.008958018, 0.008589943, +0.00785287, 0.00765184, 0.007467706, 0.007287216, +0.006965848, 0.006755768, 0.006636542, 0.006301882, +0.0061295, 0.006015469, 0.005800592, 0.005783671, +0.005778392, 0.0055334, 0.005382178, 0.005257952, +0.005182785, 0.005143431, 0.005030947, 0.00481717, +0.004785166, 0.004694106, 0.004601204, 0.004475299, +0.004354599, 0.004318955, 0.004270652, 0.004198983, +0.004157922, 0.004062977, 0.003989954, 0.003962911, +0.003896029, 0.003848106, 0.003802821, 0.003784158 +0.003735151, 0.003614947, 0.003559739, 0.003538204, +0.003528331, 0.003471536, 0.00344668, 0.003402687, +0.003379342, 0.003304449, 0.003277739, 0.003195305, +0.003151292, 0.003135639, 0.00311487, 0.003099307, +0.003074084, 0.003056642, 0.003002414, 0.002963455, +0.002945777, 0.002918342, 0.002905173, 0.002885431, +0.002874419, 0.002847796, 0.002830868, 0.002812113, +0.002779548, 0.002738537, 0.002712988, 0.002709081) +x = c(0.091334011, 0.025905727, 0.01974161, 0.018856484, +0.013011922, 0.012761575, 0.01100478, 0.010578836, +0.009979589, 0.00904816, 0.008958018, 0.008589943, +0.00785287, 0.00765184, 0.007467706, 0.007287216 +) +x = c(0.091334011, 0.025905727, 0.01974161, 0.018856484, +0.013011922, 0.012761575, 0.01100478, 0.010578836, +0.009979589, 0.00904816, 0.008958018, 0.008589943, +0.00785287, 0.00765184, 0.007467706, 0.007287216, +0.006965848, 0.006755768, 0.006636542, 0.006301882, +0.0061295, 0.006015469, 0.005800592, 0.005783671, +0.005778392, 0.0055334, 0.005382178, 0.005257952, +0.005182785, 0.005143431, 0.005030947, 0.00481717 +) +x = c(0.091334011, 0.025905727, 0.01974161, 0.018856484, +0.013011922, 0.012761575, 0.01100478, 0.010578836, +0.009979589, 0.00904816, 0.008958018, 0.008589943, +0.00785287, 0.00765184, 0.007467706, 0.007287216, +0.006965848, 0.006755768, 0.006636542, 0.006301882, +0.0061295, 0.006015469, 0.005800592, 0.005783671, +0.005778392, 0.0055334, 0.005382178, 0.005257952, +0.005182785, 0.005143431, 0.005030947, 0.00481717, +0.004785166, 0.004694106, 0.004601204, 0.004475299, +0.004354599, 0.004318955, 0.004270652, 0.004198983, +0.004157922, 0.004062977, 0.003989954, 0.003962911, +0.003896029, 0.003848106, 0.003802821, 0.003784158, +0.003735151, 0.003614947, 0.003559739, 0.003538204, +0.003528331, 0.003471536, 0.00344668, 0.003402687, +0.003379342, 0.003304449, 0.003277739, 0.003195305, +0.003151292, 0.003135639, 0.00311487, 0.003099307, +0.003074084, 0.003056642, 0.003002414, 0.002963455, +0.002945777, 0.002918342, 0.002905173, 0.002885431, +0.002874419, 0.002847796, 0.002830868, 0.002812113, +0.002779548, 0.002738537, 0.002712988, 0.002709081) +cumsum(x) +plot(cumsum(x), type='b') +data(dune) +data(dune.env) +dune.Manure <- rda(dune ~ Manure, dune.env) +library(vegan) +data(dune) +data(dune.env) +dune.Manure <- rda(dune ~ Manure, dune.env) +plot(dune.Manure) +head(dune.env) +aa = c(133.5, 534, 667.5, 445, 22.5, 133.5) +sum(aa) +aa = c(133.5, 534, 667.5, 445, 22a.5, 133.5) +aa = c(133.5, 534, 667.5, 445, 222.5, 133.5) +sum(aa) +sum(500, 615, 300, 410) +expression('hi'[5]*'there'[6]^8*'you'[2]) +plot(1:10, xlab=expression('hi'[5]*'there'[6]^8*'you'[2])) +c(expression('1,25(OH)'[2]*'D'), 'Race' +) +paste0('"Hello"', ' ~ r[xy] == ') +expression(u, 2, u + 0:9) +length(ex3 <- expression(u, 2, u + 0:9)) # 3 +mode(ex3 [3]) # expression +mode(ex3[[3]]) +sapply(ex3, mode ) +sapply(ex3, typeof) +2^10 +pf(10.86, 6) +pf(10.86, 298, 6) +pf(10.86, 1, 6) +pf(10.86, 6, 298) +0.022759817*100 +library(scales) +show_col(hue_pal()(6)) +library(scales) +show_col(hue_pal()(12)) +size = c(50, 100, 500, 1000) +idx = 0 +for (P in size){ +for (N in size){ +idx = idx + 1 +dim.list[[idx]] = c(P=P, N=N) +} +} +files = NULL +for (dim in dim.list){ +p = dim[1] +n = dim[2] +files = cbind(files, paste0(dir, '/sim_independent_', paste('P', p, 'N', n, sep='_'), '.RData')) +} +dim.list = list() +size = c(50, 100, 500, 1000) +idx = 0 +for (P in size){ +for (N in size){ +idx = idx + 1 +dim.list[[idx]] = c(P=P, N=N) +} +} +dim.list +specie <- c(rep("sorgho" , 3) , rep("poacee" , 3) , rep("banana" , 3) , rep("triticum" , 3) ) +condition <- rep(c("normal" , "stress" , "Nitrogen") , 4) +value <- abs(rnorm(12 , 0 , 15)) +data <- data.frame(specie,condition,value) +head(data) +# library +library(ggplot2) +library(viridis) +library(hrbrthemes) +ggplot(data, aes(fill=condition, y=value, x=condition)) + +geom_bar(position="dodge", stat="identity") + +scale_fill_viridis(discrete = T, option = "E") + +ggtitle("Studying 4 species..") + +facet_wrap(~specie) + +theme_ipsum() + +theme(legend.position="none") + +xlab("") +install.packages('hrbrthemes') +install.packages("hrbrthemes") +View(data) +View(data) +View(data) +78404/1975 +962/1975 +645/1975 +423/1975 +216/1975 +install.packages('funcy') +library(funcy) +packageurl <- "https://cran.r-project.org/src/contrib/Archive/funcy/funcy_1.0.1.tar.gz" +install.packages(packageurl, repos=NULL, type="source") +library(funcy) +setwd("~/Study/thesis/machineLearning/stability/simulations_2020/code_method") +args = commandArgs(trailingOnly=TRUE) +print(args) +dir = args[1] +source('cv_method.R') +source('getStability.R') +source('stab_data_applications.R') +##################################### +##### data preparation ############## +##################################### +load('../data_application/vitaminD/vitaminD_genus_table.RData') +count = vit_otu +## filter 1% + add pesudo count +x <- count[, colMeans(count > 0) >= 0.01] +x = count +x[x == 0] <- 0.5 +x <- x/rowSums(x) # relative abundance +taxa <- log(x) +print(paste('number of features:', dim(taxa)[2], sep=':')) +# # metadata +mf <- read.csv("../data_application/vitaminD/mros_mapping_alpha.txt", sep='\t', row.names=1) +mf <- mf[complete.cases(mf$OHV1D3), ] # remove data with missing 1,25 info +ids = match(rownames(count), rownames(mf)) +y <- mf$OHV1D3[ids] +taxa <- taxa[ids, ] +# save processed data +save(y, taxa, file='../data_application/vitaminD/vitaminD_125.RData') +load('../data_application/vitaminD/vitaminD_genus_table.RData') +read.csv('../data_application/vitaminD/vitaminD_genus_table.RData') +23231/566 +2156/566 +1301/566 +883/566 +522/566 diff --git a/code_method/code_method/bootstrap_test_compLasso_rf.R b/code_method/code_method/bootstrap_test_compLasso_rf.R new file mode 100644 index 0000000..21d0586 --- /dev/null +++ b/code_method/code_method/bootstrap_test_compLasso_rf.R @@ -0,0 +1,127 @@ +########################################################## +### estimate correlation between stability index ######### +########################################################## + +source('cv_method.R') +source('getStability.R') +source('cv_sim_apply.R') + +## set up parallel computing +library(foreach) +library(doParallel) +numCores <- detectCores() - 2 # 6 cores +registerDoParallel(numCores) # use multicore, set to the number of our cores + +boot_stab_sim = function(num_boot=100, sim_file, method, seednum=31, ratio.training=0.8, fold.cv=10, + family='gaussian', lambda.grid=exp(seq(-4, -2, 0.2)), alpha.grid=seq(0.1, 0.9, 0.1), + mtry.grid=seq(5, 25, 5), num_trees = 500, pval_thr = 0.05){ + + # load simulated data + load(sim_file, dat <- new.env()) + + idx.start = 1; idx.stop = 100 # 100 repetitions for each simulated scenario + rou = dat$sim_array[[1]]$rou # rou, n, p are same across all repetitions + n = dat$sim_array[[1]]$n + p = dat$sim_array[[1]]$p + + ## get a vector of stability index from bootstrapped data + stab_index = rep(0, num_boot) + b = 0 + for (i in idx.start:idx.stop){ + b = b + 1 + print(paste('index', i, sep=':')) + sub = dat$sim_array[[i]] + + # bootsrap with parallelization + selections = foreach (i=1:num_boot) %dopar% { + N = length(sub$Y) # number of samples + boot_ids = sample(N, size=N, replace=TRUE) + boot_Z = sub$Z[boot_ids, ] + boot_Y = sub$Y[boot_ids, ] + + ## select features from lasso/elnet + if (method == 'compLasso'){ + result.lin = cons_lasso_cv(y=boot_Y, datx=boot_Z, seednum=i, ratio.training=ratio.training) + select.lin = result.lin$coef.chosen # since 1 represents intercept + + } else if (method == 'RF'){ + result.rf = randomForest_cv(y=boot_Y, datx=boot_Z, seednum=i, fold.cv=fold.cv, + num_trees=num_trees, mtry.grid = mtry.grid, pval_thr=pval_thr) + select.rf = result.rf$coef.chosen + } + } + + # calculate stability index from bootstrapped data + stability_table = matrix(rep(0, num_boot * p), ncol=p) + for (j in 1:num_boot){ + stability_table[j, selections[[j]]] = 1 + } + + stab_index[b] = round(getStability(stability_table)$stability, 2) + } + + results=list(rou=rou, n=n, p=p, num_boot=num_boot, method=method, stab_index=stab_index) + +} + + +######################################################## +## double bootstrap applied to real data application ### +######################################################## +boot_stab_data = function(num_boot=100, data_file, method, seednum=31, ratio.training=0.8, fold.cv=10, + family='gaussian', lambda.grid=exp(seq(-4, -2, 0.2)), alpha.grid=seq(0.1, 0.9, 0.1), + mtry.grid=seq(5, 25, 5), num_trees = 500, pval_thr = 0.05){ + + # load simulated data + set.seed(seednum) + load(data_file) + p = dim(taxa)[2] + + stab_index = rep(0, num_boot) + MSE_list = list() + # first loop of bootstrap to generate num_boot bootstrapped datasets + for (k in 1:num_boot){ + print(paste('num_boot', k, sep=':')) + N = length(y) # number of samples + sample_ids = seq(1, N, 1) + + # bootstrapped samples + boot_ids = sample(sample_ids, size=N, replace=TRUE) + boot_taxa = taxa[boot_ids, ] + boot_mf = y[boot_ids] + + ## second loop of bootstrap to perform variable selection + results = foreach (i=1:num_boot) %dopar% { + boot_ids_second = sample(N, size=N, replace=TRUE) + boot_Z = boot_taxa[boot_ids_second, ] + boot_Y = boot_mf[boot_ids_second] + + ## select features from lasso/elnet + if (method == 'compLasso'){ + result.lin = cons_lasso_cv(y=boot_Y, datx=boot_Z, seednum=i, ratio.training=ratio.training) + output.lin = c(result.lin$MSE, result.lin$coef.chosen) + + } else if (method == 'RF'){ + result.rf = randomForest_cv(y=boot_Y, datx=boot_Z, seednum=i, fold.cv=fold.cv, + num_trees=num_trees, mtry.grid = mtry.grid, pval_thr=pval_thr) + output.rf = c(result.rf$MSE, result.rf$coef.chosen) + } + } + + # reformat results (stability & MSE) + stability_table = matrix(rep(0, num_boot * p), ncol=p) + results_mse = results_chosen = list() + for (b in 1:num_boot){ + results_mse[b] = results[[b]][1] + results_chosen[[b]] = results[[b]][-1] + stability_table[b, results_chosen[[b]]] = 1 + } + + stab_index[k] = round(getStability(stability_table)$stability, 2) + MSE_list[[k]] = results_mse + } + + + results=list(num_boot=num_boot, method=method, stab_index=stab_index, MSE_list=MSE_list) + +} diff --git a/code_method/code_method/cv_method.R b/code_method/code_method/cv_method.R new file mode 100644 index 0000000..ceed386 --- /dev/null +++ b/code_method/code_method/cv_method.R @@ -0,0 +1,321 @@ +########################################### +#### methods for comparisions ############# +########################################### +library(glmnet) +library(caret) +library(ranger) # faster random forest + +# general reference with caret on glmnet & random forest +## http://rstudio-pubs-static.s3.amazonaws.com/251240_12a8ecea8e144fada41120ddcf52b116.html + +# important note +## when training model on training set, as tuning parameters are set in final model, coefficient are chosen already +## use test set to predict the MSE +## as unclear how carret handle fitting and prediction, use carret only for parameter tuning in elastic net + +########################################### +#### Lasso (tune lambda) ################## +########################################### +lasso_cv = function(datx, y, seednum=31, family=family, ratio.training=0.8, fold.cv=10, + lambda.grid, lambda.choice='lambda.1se'){ + # seednum: the seed number + # ratio.training: the ratio of training set (parento principle training:test=8:2) + # lambda.grid: possible candidate values for tuning parameter Lambda + # fold.cv: n-fold cross validation + # lambda.choice: 'lambda.min' or 'lambda.1se' + + set.seed(seednum) + + # # split data into training and tests sets + nn <- length(y) + trn <- sample(1:nn, ratio.training*nn) + x.train <- datx[trn, ] + x.test <- datx[-trn, ] + y.train <- y[trn] + y.test <- y[-trn] + + # use cross-validation on training data & fit on test data + cv.fit <- cv.glmnet(x.train, y.train, family=family, alpha=1, lambda=lambda.grid, nfolds=fold.cv) + pred.fit <- predict(cv.fit, s=lambda.choice, newx=x.test, type='response') + + # covariates chosen + coef.fit <- predict(cv.fit, s=lambda.choice, newx=x.test, type='coefficients') + coef.chosen = which(coef.fit != 0) + coef.chosen = coef.chosen - 1 # index for 1 representing intercept + + # evaluate results + MSE <- mean((y.test - pred.fit)^2) + + + result = list(MSE=MSE, coef.chosen=coef.chosen) + return(result) +} + +########################################### +#### Elastic Net (tune lambda and alpha) ## +########################################### +# reference 1 (tune both parameters with caret) +## https://stats.stackexchange.com/questions/268885/tune-alpha-and-lambda-parameters-of-elastic-nets-in-an-optimal-way +# reference 2 (extract final model and prediction with caret) +## https://topepo.github.io/caret/model-training-and-tuning.html + + +elnet_cv = function(datx, y, seednum=31, alpha.grid, lambda.grid, family=family, + ratio.training=0.8, fold.cv=10){ + # seednum: the seed number + # ratio.training: the ratio of training set (parento principle training:test=8:2) + # alpha.grid: possible candidate values for tuning parameter alpha + # lambda.grid: possible candidate values for tuning parameter Lambda + # fold.cv: n-fold cross validation + + set.seed(seednum) + + # # split data into training and tests sets + nn <- length(y) + trn <- sample(1:nn, ratio.training*nn) + x.train <- datx[trn, ] + x.test <- datx[-trn, ] + y.train <- y[trn] + y.test <- y[-trn] + + data.train = as.data.frame(cbind(y.train, x.train)) + colnames(data.train) = c('y', paste('V', seq(1, dim(datx)[2]), sep='')) + + # tune parameters with CV on training data with caret + trnCtrl <- trainControl(method = "cv", number = fold.cv) + srchGrid <- expand.grid(.alpha = alpha.grid, .lambda = lambda.grid) + + my_train <- train(y ~., data.train, + method = "glmnet", + tuneGrid = srchGrid, + trControl = trnCtrl) + + # fit the model with best tuning parameters on test data with glmnet + fit = glmnet(x.train, y.train, alpha=my_train$bestTune$alpha, lambda=my_train$bestTune$lambda) + pred.fit <- predict(fit, x.test, type='response') + + # covariates chosen + coef.fit <- predict(fit, x.test, type='coefficients') + coef.chosen = which(coef.fit != 0) + coef.chosen = coef.chosen - 1 # index for 1 representing intercept + + # evaluate results + MSE <- mean((y.test - pred.fit)^2) + + + result = list(MSE=MSE, coef.chosen=coef.chosen) + return(result) +} + + +############################################################### +#### Random Forests (tune # variables at each random split #### +############################################################### +# reference on regression random forst +## https://uc-r.github.io/random_forests +# OOB error is different from test error (see above website) + + +randomForest_cv = function(datx, y, seednum=31, fold.cv=5, ratio.training=0.8, mtry.grid=10, num_trees=500, + pval_thr=0.05, method.perm='altmann'){ + # mtry: number of variables to randomly sample at each split + # num_trees: number of trees to grow in random forests + # pval_thr: threshold for permutation test + # note that permutation p-value can use "altmann method" for all types of data; 'Janita' for high-dimensitional data only + # ref on permutation methods: http://finzi.psych.upenn.edu/library/ranger/html/importance_pvalues.html + + set.seed(seednum) + + # split data into training and tests sets + data = as.data.frame(cbind(y, datx)) + colnames(data) = c('y', paste('V', seq(1, dim(datx)[2]), sep='')) + inTraining = createDataPartition(data$y, p = ratio.training, list=FALSE) + train <- data[inTraining, ] + test <- data[-inTraining, ] + + # tune parameter with cross validation + hyper.grid <- expand.grid(mtry = mtry.grid, OOB_RMSE = 0) + for (i in 1:nrow(hyper.grid)){ + model = ranger(y ~., data = train, + num.trees=500, mtry=hyper.grid$mtry[i], + seed=seednum, importance = 'permutation') + hyper.grid$OOB_RMSE[i] = sqrt(model$prediction.error) + } + OOB = min(hyper.grid$OOB_RMSE) # out of bag error + position = which.min(hyper.grid$OOB_RMSE) + + # permutation test on tuned random forst model to obtain chosen features + if (method.perm == 'altmann'){ # for all data types + rf.model <- ranger(y ~., data=test, num.trees = num_trees, + mtry = hyper.grid$mtry[position], importance = 'permutation') + table = as.data.frame(importance_pvalues(rf.model, method = "altmann", + formula = y ~ ., data = test)) + } else if (method.perm == 'janitza'){ # for high dimensional data only + rf.model <- ranger(y ~., data=test, num.trees = num_trees, + mtry = hyper.grid$mtry[position], importance = 'impurity_corrected') + table = as.data.frame(importance_pvalues(rf.model, method = "janitza", + formula = y ~ ., data = test)) + } + + coef.chosen = which(table$pvalue < pval_thr) + + # if nothing been selected + if (identical(coef.chosen, integer(0))){ + coef.chosen = 0 + } + + # obtain additional prediction error to make comparable to other methods + pred_rf = predict(rf.model, test) + MSE <- mean((test$y - pred_rf$predictions)^2) + + result = list(mtry=mtry.grid[position], coef.chosen=coef.chosen, MSE=MSE, OOB=OOB, p.value=table$pvalue) + return(result) + +} + + +############################################################### +#### Compositional Lasso by Lin et al 2014 #################### +############################################################### +dyn.load("../../code_Lin/cvs/cdmm.dll") +source("../../code_Lin/cvs/cdmm.R") + +cons_lasso_cv = function(datx, y, seednum, ratio.training=0.8){ + set.seed(seednum) + z = datx + n = length(y) + + itrn = sample(n, ratio.training*n) + itst = setdiff(1:n, itrn) + ans <- cv.cdmm(y[itrn], z[itrn, ], refit=TRUE) # proposed method (default: 10 fold CV) + bet <- ans$bet; int <- ans$int + pe <- mean((y[itst] - int - z[itst, ] %*% bet)^2) + + coef.chosen = which(bet != 0) # the first beta refer to 1st feature + MSE = pe + + result = list(MSE=MSE, coef.chosen=coef.chosen) + return(result) +} + +########################################################### +#### Lasso (double cv -- no validation set) ############### +########################################################### +lasso_double_cv = function(datx, y, seednum=31, family=family, fold.cv=10, lambda.grid){ + set.seed(seednum) + + ## double loop for cross-vlidation + flds <- createFolds(y, k = fold.cv, list = TRUE, returnTrain = FALSE) + + ## outer loop for estimating MSE + MSE = STAB = matrix(rep(0, fold.cv * length(lambda.grid)), nrow=fold.cv) + rownames(MSE) = rownames(STAB) = paste('fold', seq(1:fold.cv), sep='') + colnames(MSE) = colnames(STAB) = paste('lambda', seq(1:length(lambda.grid)), sep='') + for (b in 1:fold.cv){ + idx.test = flds[[b]] + x.train = datx[-idx.test, ] + y.train = y[-idx.test] + x.test = datx[idx.test, ] + y.test = y[idx.test] + + fit = glmnet(x.train, y.train, family=family, alpha=1, lambda=lambda.grid) + pred.fit <- predict(fit, newx=x.test, s=lambda.grid, type='response') + MSE[b, ] <- colMeans((y.test - pred.fit)^2) + + ## inner loup for estimating stability + flds.inn <- createFolds(y.train, k = fold.cv, list = TRUE, returnTrain = FALSE) + stab.table.inn = list() + for (bb in 1:fold.cv){ + idx.test.inn = flds.inn[[bb]] + stab.x.train = x.train[-idx.test.inn, ] + stab.y.train = y.train[-idx.test.inn] + stab.x.test = x.train[idx.test.inn, ] + stab.y.test = y.train[idx.test.inn] + + fit.inn = glmnet(stab.x.train, stab.y.train, family=family, alpha=1, lambda=lambda.grid) + coef.fit.inn <- predict(fit.inn, newx=stab.x.test, s=lambda.grid, type='coefficients') + coef.chosen.table = as.matrix(coef.fit.inn) + coef.chosen.table = coef.chosen.table[-1, ] # no need of intercept + coef.chosen.table[coef.chosen.table != 0] = 1 # convert to binary table + coef.chosen.table[coef.chosen.table == 0] = 0 + colnames(coef.chosen.table) = paste('lambda', seq(1:length(lambda.grid)), sep='') + stab.table.inn[[bb]] = coef.chosen.table + } + + # calculate stability + table.tmp = matrix(rep(0, dim(datx)[2] * fold.cv), nrow=fold.cv) + for (i in 1:length(lambda.grid)){ + for (bb in 1:fold.cv){ + table.tmp[bb, ] = stab.table.inn[[bb]][, i] + } + STAB[b, i] = round(getStability(table.tmp)$stability, 2) + } + } + + result = list(lambda.grid=lambda.grid, MSE.list=MSE, STAB.list=STAB, MSE.value=colMeans(MSE), STAB.value=colMeans(STAB)) + return(result) +} + + +########################################################### +#### RF (double cv -- no validation set) ############### +########################################################### +randomForest_double_cv = function(datx, y, seednum=31, fold.cv=5, mtry.grid=10, num_trees=500, pval_thr=0.05){ + set.seed(seednum) + + ## double loop for cross-vlidation + data = as.data.frame(cbind(y, datx)) + colnames(data) = c('y', paste('V', seq(1, dim(datx)[2]), sep='')) + flds <- createFolds(data$y, k = fold.cv, list = TRUE, returnTrain = FALSE) + + ## outer loop for estimating MSE + MSE = STAB = matrix(rep(0, fold.cv * length(mtry.grid)), nrow=fold.cv) + rownames(MSE) = rownames(STAB) = paste('fold', seq(1:fold.cv), sep='') + colnames(MSE) = colnames(STAB) = paste('mtry', seq(1:length(mtry.grid)), sep='') + for (b in 1:fold.cv){ + idx.test = flds[[b]] + train <- data[-idx.test, ] + test <- data[idx.test, ] + + for (mtry in mtry.grid){ + fit = ranger(y ~., data = train, num.trees=500, mtry=mtry, seed=seednum, importance = 'permutation') + pred.fit <- predict(fit, test) + MSE[b, ] <- mean((test$y - pred.fit$predictions)^2) + } + + ## inner loup for estimating stability + flds.inn <- createFolds(train$y, k = fold.cv, list = TRUE, returnTrain = FALSE) + stab.table.inn = list() + for (bb in 1:fold.cv){ + idx.test.inn = flds.inn[[bb]] + stab.train <- train[-idx.test.inn, ] + stab.test <- train[idx.test.inn, ] + + coef.chosen.table = matrix(rep(0, dim(datx)[2] * length(mtry.grid)), ncol=length(mtry.grid)) + colnames(coef.chosen.table) = paste('mtry', seq(1:length(mtry.grid)), sep='') + idx = 0 + for (mtry in mtry.grid){ + idx = idx + 1 + fit.inn = ranger(y ~., data = stab.train, num.trees=500, mtry=mtry, seed=seednum, importance = 'permutation') + table = as.data.frame(importance_pvalues(fit.inn, method = "altmann", formula = y ~ ., data = stab.train)) + coef.chosen = which(table$pvalue < pval_thr) + coef.chosen.table[coef.chosen, idx] = 1 + stab.table.inn[[bb]] = coef.chosen.table + } + + } + + # calculate stability + table.tmp = matrix(rep(0, dim(datx)[2] * fold.cv), nrow=fold.cv) + for (i in 1:length(mtry.grid)){ + for (bb in 1:fold.cv){ + table.tmp[bb, ] = stab.table.inn[[bb]][, i] + } + STAB[b, i] = round(getStability(table.tmp)$stability, 2) + } + } + + result = list(mtry.grid=mtry.grid, MSE.list=MSE, STAB.list=STAB, MSE.value=colMeans(MSE), STAB.value=colMeans(STAB)) + return(result) + +} diff --git a/code_method/code_method/cv_sim_apply.R b/code_method/code_method/cv_sim_apply.R new file mode 100644 index 0000000..80f4701 --- /dev/null +++ b/code_method/code_method/cv_sim_apply.R @@ -0,0 +1,76 @@ +####################################################################################### +### apply different feature selection methods to simulated data ####################### +####################################################################################### + +# library(FSA) # for se() +# source('cv_method.R') +# source('getStability.R') + +sim_evaluate_cv = function(sim_file, method, seednum=31, ratio.training=0.8, fold.cv=10, family='gaussian', + lambda.grid=exp(seq(-4, -2, 0.2)), alpha.grid=seq(0.1, 0.9, 0.1), + mtry.grid=seq(5, 25, 5), num_trees = 500, pval_thr = 0.05, method.perm='altmann'){ + # load simulated data + load(sim_file, dat <- new.env()) + + idx.start = 1; idx.stop = 100 # 100 repetitions for each simulated scenario + rou = dat$sim_array[[1]]$rou # rou, n, p are same across all repetitions + n = dat$sim_array[[1]]$n + p = dat$sim_array[[1]]$p + + # evaluating different methods + fp = fn = mse = OOB_rf = NULL + stability.table = matrix(rep(0, (idx.stop - idx.start + 1) * p), ncol=p) + colnames(stability.table) = paste('V', seq(1:p), sep='') + + for (i in idx.start:idx.stop){ + sub = dat$sim_array[[i]] + coef = sub$beta + coef.true = which(coef != 0) + + if (method == 'lasso'){ + result = lasso_cv(y=sub$Y, datx=sub$Z, seednum=seednum,family=family, lambda.choice='lambda.1se', + ratio.training=ratio.training, fold.cv=fold.cv, lambda.grid=lambda.grid) + select.features = result$coef.chosen + } else if (method == 'elnet'){ + result = elnet_cv(y=sub$Y, datx=sub$Z, seednum=seednum,family=family, alpha.grid=alpha.grid, + ratio.training=ratio.training, fold.cv=fold.cv, lambda.grid=lambda.grid) + select.features = result$coef.chosen + } else if (method == 'RF'){ + result = randomForest_cv(y=sub$Y, datx=sub$Z, seednum=seednum, fold.cv=fold.cv, + num_trees=num_trees, mtry.grid = mtry.grid, pval_thr=pval_thr, method.perm=method.perm) + select.features = result$coef.chosen + } else if (method == 'compLasso'){ + result = cons_lasso_cv(datx=sub$Z, y=sub$Y, seednum=seednum, ratio.training=ratio.training) + select.features = result$coef.chosen + } + + # false positives: shouldn't be chosen but chosen + fp = c(fp, length(setdiff(select.features, coef.true))) + + # false negatives: # should be chosen yet not + fn = c(fn, length(setdiff(coef.true, select.features))) + + # prediction error + mse = c(mse, result$MSE) + + if (method == 'RF'){ + OOB_rf = c(OOB_rf, result$OOB) + } + + # stability table + stability.table[i, select.features] = 1 + } + + # store results + FP = paste(mean(fp), '(', round(se(fp),2), ')') + FN = paste(mean(fn), '(', round(se(fn),2), ')') + MSE = paste(round(mean(mse, na.rm=T),2), '(', round(se(mse, na.rm=T),2), ')') + Stab = round(getStability(stability.table)$stability, 2) + + results=list(rou=rou, n=n, p=p, FP=FP, FN=FN, MSE=MSE, Stab=Stab, + Stab.table=stability.table, FP.list=fp, FN.list=fn, MSE.list=mse, OOB.list=OOB_rf) + +} + + + diff --git a/code_method/code_method/getStability.R b/code_method/code_method/getStability.R new file mode 100644 index 0000000..6f8ad85 --- /dev/null +++ b/code_method/code_method/getStability.R @@ -0,0 +1,84 @@ +# source code: https://github.com/nogueirs/JMLR2018/blob/master/R/getStability.R + +getStability <- function(X,alpha=0.05) { +## the input X is a binary matrix of size M*d where: +## M is the number of bootstrap replicates +## d is the total number of features +## alpha is the level of significance (e.g. if alpha=0.05, we will get 95% confidence intervals) +## it's an optional argument and is set to 5% by default +### first we compute the stability + +M<-nrow(X) +d<-ncol(X) +hatPF<-colMeans(X) # selection probability of each feature +kbar<-sum(hatPF) +v_rand=(kbar/d)*(1-kbar/d) # kbar is the sum of selection probability on all features; v_rand is like the variance of bernoulli dist +stability<-1-(M/(M-1))*mean(hatPF*(1-hatPF))/v_rand ## this is the stability estimate + +## then we compute the variance of the estimate +ki<-rowSums(X) +phi_i<-rep(0,M) +for(i in 1:M){ + phi_i[i]<-(1/v_rand)*((1/d)*sum(X[i,]*hatPF)-(ki[i]*kbar)/d^2-(stability/2)*((2*kbar*ki[i])/d^2-ki[i]/d-kbar/d+1)) +} +phi_bar=mean(phi_i) +var_stab=(4/M^2)*sum((phi_i-phi_bar)^2) ## this is the variance of the stability estimate + +## then we calculate lower and upper limits of the confidence intervals +z<-qnorm(1-alpha/2) # this is the standard normal cumulative inverse at a level 1-alpha/2 +upper<-stability+z*sqrt(var_stab) ## the upper bound of the (1-alpha) confidence interval +lower<-stability-z*sqrt(var_stab) ## the lower bound of the (1-alpha) confidence interval + +return(list("stability"=stability,"variance"=var_stab,"lower"=lower,"upper"=upper)) + +} + + +# ################################ +# ## extreme cases example ####### +# ################################ +# d = 2 # number of features +# M = 10 # number of bootstrap replicates + +# ## case 1: when stability index undefined -- Z all zeros or all ones (Nogueria2018 p.13) +# Z_all_missed = matrix(rep(0, M*d), nrow=M) # since K_bar = 0, thus SI undefined +# getStability(Z_all_missed)$stability + +# Z_all_selected = matrix(rep(1, M*d), nrow=M) # since K_bar = d = 3, thus SI underfined +# getStability(Z_all_selected)$stability + +# ## case 2: when stability index reaches maximum 1 -- each column of Z either all ones or all zeros (but not only zeros or only ones)(Nogueria2018 p.13) +# # this was the case when we got the wrong SI almost 1 for soil datasets: since sampled dataset the same across all +# d = 10 +# for (i in 1: (d-1)){ +# d_ones = sample(seq(1, d, 1), i) +# Z_tmp = matrix(rep(0, M*d), nrow=M) +# Z_tmp[, d_ones] = 1 # since Sf = 0 for all features, thus SI = 1 +# SI = getStability(Z_tmp)$stability +# print(i) +# print(paste('SI:', SI, sep='')) +# } + +# ## case 3: when stability index near minimum 0 (appedix D: - 1/(M-1), but as M goes to infinity, minimum asymptotically 0) +# ## when for each column of feature, it receives same numbers of 0 and 1 +# d_alt = rep(c(0, 1), M/2) +# Z_alt = matrix(rep(d_alt, d), ncol=d) +# getStability(Z_alt)$stability # -0.1111111, which is - 1/(M-1) + +# d_alt_2 = c(rep(0, M/2), rep(1, M/2)) +# Z_alt_2 = matrix(rep(d_alt_2, d), ncol=d) +# getStability(Z_alt_2)$stability # -0.1111111, which is - 1/(M-1) + +# # when M goes to infinity +# M = 10000 +# d_alt = rep(c(0, 1), M/2) +# Z_alt = matrix(rep(d_alt, d), ncol=d) +# getStability(Z_alt)$stability # -0.00010001, very close to 0 + + + + + + + + diff --git a/code_method/code_method/stab_data_applications.R b/code_method/code_method/stab_data_applications.R new file mode 100644 index 0000000..403a3d8 --- /dev/null +++ b/code_method/code_method/stab_data_applications.R @@ -0,0 +1,73 @@ +########################################################## +### estimate correlation between stability index ######### +########################################################## + +#source('cv_method.R') +#source('getStability.R') + +## set up parallel computing +library(foreach) +library(doParallel) +#numCores <- detectCores() - 2 # 6 cores +numCores <- detectCores() - 4 # for old computer +registerDoParallel(numCores) # use multicore, set to the number of our cores + +boot_stab = function(num_boot=100, dat_file, method, ratio.training=0.8, fold.cv=10, + family='gaussian', lambda.grid=exp(seq(-4, -2, 0.2)), alpha.grid=seq(0.1, 0.9, 0.1), + mtry.grid=seq(5, 25, 5), num_trees = 500, pval_thr = 0.05, method.perm='altmann'){ + + # load data + load(dat_file) + + # bootsrap with parallelization + results = foreach (i=1:num_boot) %dopar% { + print(paste('bootnum', i, sep=":")) + set.seed(i) # ensure each bootstrapped data is the same across methods + N = length(y) # number of samples + sample_ids = seq(1, N, 1) + + # bootstrapped samples + boot_ids = sample(sample_ids, size=N, replace=TRUE) + boot_taxa = taxa[boot_ids, ] + boot_mf = y[boot_ids] + + ## select features from lasso/elnet + if (method == 'compLasso'){ + result.lin = cons_lasso_cv(y=boot_mf, datx=boot_taxa, seednum=i, ratio.training=ratio.training) + output.lin = c(result.lin$MSE, result.lin$coef.chosen) + + } else if (method == 'RF'){ + result.rf = randomForest_cv(y=boot_mf, datx=boot_taxa, seednum=i, fold.cv=fold.cv, + num_trees=num_trees, mtry.grid = mtry.grid, pval_thr=pval_thr, method.perm=method.perm) + output.rf = c(result.rf$MSE, result.rf$coef.chosen) + + } else if (method == 'lasso'){ + result.lasso = lasso_cv(y=boot_mf, datx=boot_taxa, seednum=i,family=family, lambda.choice='lambda.1se', + ratio.training=ratio.training, fold.cv=fold.cv, lambda.grid=lambda.grid) + output.lasso = c(result.lasso$MSE, result.lasso$coef.chosen) + + } else if (method == 'elnet'){ + result.elnet = elnet_cv(y=boot_mf, datx=boot_taxa, seednum=i,family=family, alpha.grid=alpha.grid, + ratio.training=ratio.training, fold.cv=fold.cv, lambda.grid=lambda.grid) + output.elnet = c(result.elnet$MSE, result.elnet$coef.chosen) + } + } + + # reformat results + p = dim(taxa)[2] + stability_table = matrix(rep(0, num_boot * p), ncol=p) + results_mse = results_chosen = list() + for (b in 1:num_boot){ + results_mse[b] = results[[b]][1] + results_chosen[[b]] = results[[b]][-1] + stability_table[b, results_chosen[[b]]] = 1 + } + + stab_index = round(getStability(stability_table)$stability, 2) + MSE_mean = round(mean(unlist(results_mse), na.rm=T),2) + MSE_se = round(FSA::se(unlist(results_mse), na.rm=T),2) + + results_list=list(num_boot=num_boot, method=method, stab_index=stab_index, stab_table=stability_table, + results_chosen=results_chosen, lists_mse=results_mse, MSE_mean=MSE_mean, MSE_se=MSE_se) + +} diff --git a/data_application/.DS_Store b/data_application/.DS_Store new file mode 100644 index 0000000000000000000000000000000000000000..2461f94c769c626427938c09d6c96acf95cc8bbc GIT binary patch literal 14340 zcmeI2Yj7LY701tU>||F;?6sT7l5JVSw&F(|KVm1glh~1M#fkGE0XwmifE~R^RAkAq zBs-4=+(K!mKw3Hl+R&B)Gi^gsJ^-OZA1S3XX?e7?;0{S>K0sS$+7C@1A4(YtJ@?*S zX(h{Gr)hzVR*x&q}CESVL>odwiiifCbP>zX;#Y zY%(K|8G+0QWJVw}0+|t*>j*Hy(jpl}n%QPXATt7)5r~ffvk!J!S?W~NNs)5XK^x}6 zvvTIb^M&@A)6VkjYU)(eNs&?sEhw5&Dw?7iVxVYF`F6FQQ%xsDDw+fGGgCk6nNf{U zke{9M?YugmQ>2+~W&|=LFnt6HC@UYl5C$LkVHn&nO1~fkD9;U1O2ZI>NN+Ig^#sEn zs!b0V7E-E@$!F1nXCgAH_VB!CG#H3P8ya54ta;fv^A|{xK{6~d+}O82Jkb|*M`MvL z_t+kGwA~%u?@{;r!{K0j-|g8M@J|dYi@U?2s5=nykMYI-9c~}IKIAE~-sU3s_IvMx%jnD6-Q(7NNA<*&uF2KDls-wQT9KhLx+= zxuzE7<|&2(!{UMQKqTM^`gcqOe9`^8+!3!osw_3K;+Fa&biX2JxuITGB69!Dq!XTFSz&0F6ra2!==S)7BCEyFCMlcc zfpKx$B6F>wL(0cmd653k5xSoUKeMybVi{s*-r|l#w~hKkbXC8g(<_B$(|Wq9U97Cr z=VR9-l{>4%`0){t6^1?wltDABh3&A59>fW_3+{#c;9)okPr%dgGx!y}1TVuYa1LIF zKfxvV7rYJcz`t=m=3xnzq7Cg>jVo~#wxAO`u^V03i`Qcx?!cY62Yu+reYhV(IDrT8 zFdo6%@GiU?zl8VTaeM?H$0zYLK7~KQ=kR%a0bj)5;stz7TxXUh|E)R!(=J}5&1~c! z8CM_utf6#5w)Si=xIR=NpI^w-n_uvW#Y;-dtCp{5S=$-^gH!%jy}-Dlgk-psG^y}E zHc6vQ=a!;kgLMZf&VMlV+0fLlEMVG_rYxiztKC{Ak%|=c&|$5VNa{)!@2k4TYEb5p zs%3syS8uQ?IV50-A2u}`3`#aBT$Hx9QR#frvM6oupi*GZpv=!?a9CZkq+qHtXVm2h zcpQETza&MTgNyJ-_%r+yfwZ^~O{7ITmSY7vunz075m#U{wqu8?$}M;;ZpZ6LnS1a? z9LBxq#!q69bQ#7`JVd%Yinrjc_<8&Ssq+|q5x~i^HQ7^!2PfV_kmCm-6?=o7A?!O$10Y9y1P=|b-(MtwKdVJ2Y0>NcV((oZ_XGw&fD@16arP4K}0d2e8BDl}4ND2e8Ao z)kdT02e8AAbyO<+0Cw2zqEg`pNadOirfZqpfSHy296156lZxMl_ei@2EFksTNxik? ziZbXkM|3?we;bE>KS6(pLtp4OG!6R9DLsbw6Z9WYq5oZcl+=8R+|%!qrhmv)eHLF5 z*BjUIX6^b#isvYugN_p}!G%*fLua0zYirFlxSZB$T!cAXd5Wu$JPaRvluuQ(H|k-E z_JgUh{*3S6)!J9Bn~*XpXAgMBU-U$~^mrp7fq zjLk2QWgV_lNv;u|$1x&KV3D_}&}2!*IE$K!OH6W-W#kxVCH4}NNpB`uKuq1p4pU_U z<2JN)M1=wHOs4#FwQgEBjFqzU}oRxLaRV8Cwi^r4cZGl?o zfF9UQGhrbflHU!-;5a-2j}gVsz*%BA3(J2^9KQg+qd@3QV);ApE?GiA8JAEn#BAX; zJRGW~K&Xia=xew|+(1mf76)*U6J1!tQ9MAQ`EB@R&hh*3K|B$+eP_g@9JhC=q0ckZ zpW|R6>>fy`M{7^+hRP2`kICV7ZR4sn&MVAZ5pK(uA8yMOZmZ1Y!MMY^j5C*Yyu8jT z>tgQ}O|m}rZfTWeUF^NKok|6BSx0i0?Bdg33M9hqxbS$yolbTS!J{+}be3TIDhcfk zinuSqTktM9jJYH;GZxbE zIEl<9<}yjrBZ_xZ;V{eGrRURYtmEn$Sxgr5DK(Z;S1+5z%pae0V_8kjvRRt}Y9WiUn%j&`6l`wgfEuP5Iu8#wV>EMohy&_&yaPXn3{c;~hg9c$Hh@a# zPzxHzs$7*DDlRGLL) z3`}xeQ3La=lzIHHs7YSQoG2wnl(x#NnU|$xi_&&^9rLG@`Jz;SsZ+iJVB(X(3ip4C z2u%!3RfMHw983w3^&st0$}oo8re3+?kJwBeuQQOZBZqXYIi zUMsJpZm7)3b}5|{DecknfBz7WK1I=-ulIS~o{9hIRZ=GY|KERzcIDn{Ythy8kIl3a Hef<9)iab zB^njfs9*w$qKSz3N01-J_zDJ%CQ6iqM`Dad{lO14`a^$u?#y(v-L_^(!?&bsCC!@PVLHp^{ zf52`I7;>bSdmivSFxUh9bIFDX81%DJ_wSL;m}Xj)m6tGURQBkcF@hip;y7`8W4qDa zXoanWSsRXT<)!sut3Bf0HyK7Oc^{5!)YR@)sj$w_t+1x6aobo^RBE!VMbj0dyVgkP zifQ-L=qLn%39MBr?&%3GnqLtJ1{d^J1bTwOg-a^}iz_R8dznyF7OYymqhrtBo(FsP z9dRawZeW1Cv`HRKonfpk*cdfBI#b#tXCE`W>YUSyta$(IFZa)$iMet^p}1<37B%!n zZLiuY<(V}3)l^&`SG#DUEm0$u=+MnpDL)#HMH8{GrPjn^ys^2-Qg>VYZi{Ketvb75 zt0W~%b%RRnv@W%tT9au3?`d79r5U=pQH`4)}D*f_`GowOJs4ILZet~DBMbs&I-)d1WIIiE7#P;Rmv4Xu&bw)$zqd9bCSYt z!x=M0v1u2*SIK0K>72Qu+#Cx>)R?3&$87!rQEusSrY7C(RxVj8%A4rLbkLB^e5`P* ztEy%BKK|r2VbfaIsp>SU&*|}e?sAD-F9@5twnkBCRHdPE*H02>lVX?(3t$DThs~fs zHynUNa2Q^LQ*Z{}gLCi|d=1~gw{RJLfFI!}_!)kMzc3qfa108VkCSjRPQh}VjdQUQ zgSZUuz#6Q@I$VPrunC)SBer52YIr~HLJNDb4oe`$q2U6C`UJ6TqqDgrO}RdiMWgrgr#gpTP5Bh5K^U_i^WAg zxu#YWCE#BaOM%?5fIA7N;S&PeRrsDDb`Aa@kO2W~Jo;>aO~q0y!#M=9AkM=DScTOX zBA{`Yt;KtAJ#NM=xDB@x*xCtfyD)}2cH?f`i#-Io$MA7{0-wYKcnDu4=pD7e_l5(n zB-~ax<^CK`q{6MksIONNRutgs`QYhKO9twcVRfDD!w1u@#<(6c^fu~?Lp~pNf(9|L zK!rH864~f<*J+oclzhzClFAeEl&g zg{YV>8R;CN;*ro-?F;ePlNS5>M>PylC7InNtO}@x2G{~o`W`r89fYUh2)s^|^$xrb z=ixK@Tjfi*09RbX`UQT2-zlQ}NfCvih`CsV0g5KmiMD1?G+B&GiMEzwJ>KO;lNO31 zVT@puqDX>b$R3I!kK%qiiX6sQ@KrpHr|@k&n-O7UhSBR#8OtRqTRCk+FnX&fjAck+ zoLi;@{Cxf?f_vC=>MjIFVLOw-fkg;w-Gdg((1Rz?HZP?{!yB zEx3bV7)1qlqJfV4Y$?1TkjttTf8BXYFO42X2}NMmaqP`1${x!~g$()1L2j?0LZRz{q<5v+En{ zYiS()hZE^T;%Dsvx^~dT6K~h&NZW+60e=Kgfgi`)$1$XHkFRXI5Y==0K1bT-RJP4Y e-l9JP#Pr3JxBvI{|NK&{r^7;_#krt literal 0 HcmV?d00001 diff --git a/data_application/88soils/238_otu_table.biom b/data_application/88soils/238_otu_table.biom new file mode 100644 index 0000000000000000000000000000000000000000..da0ddfd139c3fae8ca3bc6bfc97ebb82b6a92903 GIT binary patch literal 2196851 zcmeFZdq7iH_CK0V+pl)4VvCjf0;^SORRSa-ghx`xDzzx7qEdyBDk4&Z2mwL}NoM+@ zia-@LB9M$)O%)-PSA>vcS_K3Q5fH*FIh98Ogd~NKguL%TlFl@pd*}DZ{pa5AY?Xb^ zXRou)-fOS5_S)-gJp0jyyO;iX^`9a0W$|LjE0E;S0cJxZv9t%1TFlDn0#75EObmk&wLoBq1&N zSh^1(Edc`B^+NG-)cg1B*|%%GpAX8%cl(L>%x&wFj}g=3(?0M;o;Z$#At0|h=vF&w ze_ubucHe;QFyDiI@F19PkZ+)mUm!dX?zcejKMp!)jqpVU`1?a3i(GId+z;s=0J<6% z9O38dAAo>BUUT5i=io43I6N=_vf!W~5GQ|szd+bLf2W+Bcz_=a?gxiJUU%W|2SfQH zLHfpT!D)oNj`M=|e zBm9y6pgcGHfxj;-5a|cm_y>9v0#pacyDs$pC^*8`&kwT6g+9<9i3Hg|HoM^dekflA z*dK2fK5+j)f6z1_@44XqD1Ue$(igJDg^wQ$3G)T@{CyXCKR;ijuRjX1)rB63g874L z0@>z*2ZHkS1;@4B1@{kt`OfQ`&mZ`MGZyF%fx6Hm0uV3s98~oe#i|6n0VwdjAG_i((279) z40pl({J?1h=W(wCcg`cYj-Wtuf$Vdo4-A0MPgsNt4xiUru%B2LJ_tC{9|kJ(CoVXs zRRN&+LiW4h2)OUO*dPa7@IcTF%=_C&7d#*U7BIi29(3SNxq5A3K4*s$B($+fqtN$2jzCu1xJ9)5nw-~UGM-< zA?EEd#(_KgKfitjqI@AZ7kZ>W3Y>TdB=+CZ!y$MV9MluP`2m0Cf`ju8Iz$xYm;-m( zJE(2G^Y(t+fjjlV5A*||TY|*7@PYY)^9!y!CtPrly)P2flXw?C$Uu-BbTTJhanSi7 zK|4xt;j_R$5OT_e9ueRhIPaemU2ssB5%c!`xeE?Dffw;ok_#T_3;I29UQRpkf65=U z0AF87vI{*76dVkc!$P$DPkV>Yuh&Qvgy6yld|&~{c|A=113m1;1gHH0 zhl2_f2qC)gnO8R$sE6q;I2g?M&(Bwe3yuW6%)ERu|G*ywL&E(bBv%|<7(h=9$#UU? zK!V{6_+GLLJq#59>L(nM?LrTluP+LeGsT4-jD78j{uDw3Cg+H1qXv_ z)V!a+=7NJ>15`x_q{Iae2=GUN>HsNq;7+;C?+d^H1yc5JaTJ8H??h6AQ;tdyiL|{PRyuRK113kje9|?ne|8H@B$gMx% zfq|gMh1_<*{XnyZgYhlf1qWAOxc~fy#8KXG>?ED`;LMx-Gr#cai~K@5`Aq!$BmXJC zFi+#mFZ>C-e%%pi&FA6f^Arm?f$bS-js@aB@mu*X{9gVYKR1x~awosc_%z~+l*{tP z&b|EyAT^i+dFe$3neWSdan=s_U;4N7MgJ1wQ{vN(rN^Jxew;i{|DXEj1=2Xj`wDpd z&+#sM!7nZ?{zWoq`w5Wg{{g?%|HALp7yLc|f6nJ}{^!MbiKmXen27&0&e63m9{Vkx zdL05P=L%h`?bg|yLfgD$|F<|L@PFqAo~~M;_;t-f{h$26 zubUU>oN{*Z|8M=jLjtaTV7+75%N^^3QwmO-PfR(H7#B~3fc2U5H0L*sf9B7e^#7?| z@B^>>miH8!|DWx9xr1TaNvDVT_iu3el^+~-@b9Vqxqj+@oR1Rzzgu1cGpjEo;tDou00LhEf!pVUIIz45qVw&4dU=7}63F@&7fwDey=Z?4 zaw7iZ>G{aXDYeB8zAyjjPyg_I!3p9IwmGK({LZm(InVpEKNlVPXQpX^`2X#n^ZxE7 zu7NFTVTnJ+_*=S?dX?wvnh1NZ9lMe1nZ=AzeQsD<`d9QZM(^O?81yfV;H7E*!hN9Qc{Td??Y|ye zxc6|huiyFm_V+$rxL@RGKM?l&c8nvTxx~@_m7~8-s@<^*R~ASA>YNE;2f_Yh3m5Ah z&yPnspIoT-omi-sI@(t|`s1WZPFT3oI{5F6akebf*^WfuBS$;!v){KTI}&`ej`klN z?{iZ5omsewaJ+x`l(S`_-n0<*L7ehm;Y=7h$cUK>7f$=xo%;Ld6Uhtrs~r5ZGJfBl zlCy9h?r6X3pm$Q`(ig7YbF>dR6J`#At}hlY`W)k1=D2r0Z~EGKwNN|TUCj9RME||} zuLS-pf&Uc}ScpSk{w-kn(PjN~6@qj5?)uiX<@fi_{nR(G`N-%0|0OH7_G;+oYj-T) zjXe0nKmPXeqW1OYm;b!@Z||NN4*jBVYNK)SUo!b0xS{W6XGXQ&r12UW;GxyI4_ko3 zZp>QGJUZQ~xIdaZ%pH~t@0(u#<|0DgqYFUl+z!j9i~7?&PYDmvP}D2DprDJ;o)$qc zPj~X15RSqc5|4(FVsV(D+YOEAnZs4OC#mPciN`RoeyjbmY06ey=|;UPA(z|fG{#iU zMm))uAslp%&{U^#-BSS5$O+|#Qw=;^+I?CmaB=h@ZY!#Dc z^yE%i%c7$^fc{WnrGz$09Jik6WeTwD;?y0kc{^ zMiJXa$wjjCQmv_!JAD6JFX}H$Z^8_5okjgi_M1|y5dXd5-3OPMffl~KphH~Rr>3pP z8U{NR&qRFju^zEaO%H4FrcM?r{UgiHb})K(X;9Cp(29gmf9l{lT+H#AaMKp{bSrcs zO7ZG#VzGY@EdCr;TVx4kO^|kAqLQ&yI(3Pv63}nqyrs~5tV#H|g`|u?sqkIynvibF z7mc*S>jc9t4M2VZ$5sw%U&Ei98(GwCs2KZ@qX;y(@idfi#YJs@$^ac2x=28{JvBMK zwhy50%T%bQ1Yvw(4RepDp?zv*Q|MmeKod`RC35Xv^T(;Jbf~f8zU+kbS;7hCPDW+7 zGRqp*8Y@xU|F{>0EUdpq=<#a6-l5B7ioa_~v(_$^Bzq0B^?$!tk zC78fa4F6Z@Y9T&k`))6?d>4y+KPgSu7C&{3TGZZJIf2<$ZwjbOQLT=H_IR_jH?pmQ zE0MO|&>oH8oRr;^yGyxbqy7FV&jFxq^v+OFPy1+ag?PWva61*Ir+wE^@`JUrp`>i) z4iHvMWXD{~oy|$oJn&NT%MafRl1dDEKPxCwRD~s5f#{{{(MS{1* zsW;7%?6tu{T}wkn(v0D74Ya>d-(wk~uTo+x*;Z}{oJmHQQm)ApfSQJ*=;lb9@M_SY zv72^W8U40!;$aHrD4GnskM-Q{r62>RfVnZ#&nv}-4~H8t{v6#-p?k&6F^{?jVf_|l zggF@r)kNvq)`c7Hn9f#sYLXLU3rG{Ti$%Z{`~C>pj380zVO&L?O0&&UE;VPASt9mk zATZ70Rz_1DFjZ){Z0Ck6i+H+I9N_$Aq@7uv$kZjVQf2S#11#7l*+Js_r%js~6|zr^ z75c)wPP5Nd%U8*vgusmBMa#=bX{CSs_h!Js~ZRo0e?zW31j z3k?R)y)iY3Ee0W0&}sd66kSdp-f9;VO?3_^ALz*keY6LgyF+=`Sj_0E=}A=^i) zQlM|9#B$0joAwNAt0?bBtd^vXR7xM=Fx*~bKTk8zm?^BWY!n-0+FvwlJ6Rq&hN1o8 z@tJNy-Wu~9c1Z8Jhkv#N@Tf3&$C-;Mp)-$=u_Nk+62_Apy5s=ROFjqmR_v$K43XGT zGWLX3=dEMhS58}Imn;rV5@f~l`}yZUBlza|YfG2D{`%`zcAR+Q4fygEkLvB^({Fyr z#XQQj{(!C?Ntrny#Nlvk#gnOtS+k~T%q;>#5Bc@2Dods@s=)pl^{R!ivR28awUx)( zC65o#$8dtikV-cI?|HSM0+@StEc9%*Y-TkyR5Qo&sAvy*W`{Olbs{`U`yF)b-#zr!65#$3caIvY}4T!Z}#tEASqg2liDpp|n3%jxl z7|GS-ni9MQ;!8;8U)COt${UPtXUnV;n9iJj zA@O-=S1*xPgAA~nZ%NdqgcIVwdn71yOmXGGEzjZ$tTTCt07%MY`%+MbnU4Dthe6arB> ze`1YJI~1d7JjIN@uiJ5yl-JEMZsloOu}7@wKJv1@nU9pI>ok%+%yxAzvZs4$vSg?? ziqKd()4GKPuxpWZ#6;7hEzvC9Bc_;hm~BYqvF~j(7D)`JFoib^_K)Sn&4Sh$b=*=qn)ZK8i#Lok1y zj&UbhVO(igB0a8wbyDc_IcsiA-xxa} zRJ7Wr!YQ+@Mdscd^rFhV>2_KuMqe&94v+;tR>>|^2d^Bc#Xg~xn&Fx|!qiy2p}&%2 zJVBw4OMVbi5p|(7DA>VESO7C1VuwtKw(`Z7MQe@-BkN3Q1G%%oAMhkpL*w2WsB)a% zHqr347ei*M$FTWVxjIdK3Y=illCRt2I}N$1ddcXIBCpSptY>rvlQ%IG5MfP>LXV}; zr;~KIiFMK5=`4FmNB3;obu$tFJRJkytnR)st*$N;k6Q~OS(@@C*@~Jno*qkXVQ=k6{sJ%gqVeo5Po@5VMFQy9fb4a{k6<9qh4+5DmKqQQ)A=*%cIKZ+S> zqzLOC)On~TYbngyav)ybC)L2QrrDtg;^QlLwdshVR!-eQwM9qSaY34iwMBSSZNV)1 zHLbN=sME$WJMLH`sENqfe(e+xHzVLiD5Dz0D-~KaHFl+ri&qpi@3W**VliXYtf#1| z!mTDsu^@zD+SiCw*N)d~LzHZpP1m0BRCB3$tEQ@q@zmDC>djy^Z*6atnbHdSZqd4F zqi`UcY-&t7O+HUz$|bWGq;WHo&|2h?x{zZf?b3-}? zR;WeDww{a_iI|9u=0CopEEVDV>ub5_2r@r(Ivvwn%X+HR=>8l{)fh5krA5HmX@h;T zm+~Qpm3C8$Dx@`QO#Dj8ss~-|53G|K;hj zfdBCrKDGAj#`Ra{4i6tg#~(8Ic9hSxe*5_G5BDbP8%#!nbp$#k|FTRb2eDS zc+M(u<5}&*6+m!)N+4obQJiu`E2T4JI}_Ms^vR>GX%If1zz>JjalF2(zz1LqJ(hy5 z2hTeVJMxH^%5xa<#A#~EY*MxYs_;T->#mLLW>weOAL-DE#%s8K3um_;9rUsGJ>-Dq z(7LlqZKX6r-`SWii@Of2nQrIDp(nDHdURDKk(_SN@1@}3DMclM)&o4nYHEjW+}hvQ zVUF2cKs?U+KK181y1B@B7EQFLT-6~rmXOw=g#TCl3WMR|5H}@&RTWGue zv{xgG<)#a#nLADN3Gym-Q@1#zw_K>a6h9>^lJ@|CVH4z!wC{zhDzIBkX33oFrYiPK zN=1v6Cu>+8%DNnz!sh8_PT?qtUPsa9Mljy31Vo=u=EM^zd~$4lX;2v(`EV}5rz@Ac zQ=3(ITSm_vJTsGHweT$Twee;Sj(=WCZRpTk9%`2#0o_z)|K#O?%Y&8)?=m-_T&@jK z=gEs01BR-mdQWO~F3PSKd~P~qSwguN%KRc~?E1l|$5;6^e&mmNAw7U`k`Z z=k(|Md9?hjV&u(GKz5ARW=pxqzC=4ihm{9WnuG)M|OdQ{u-)bz6)nEZrgUB&IM zj%|o&)~IgilZu0+EaOHVYrGq)tLndr4OL6XO?GPM8ob=|2ZGkGl1Lz0zK~IWK;kD) z6F(=1Dok72Pa^I68!)PTy~uPNGvF;zgfwBSVsg6AG;iCrs0h71U$#hf%=DdBrj8nc zv$oh{ueG3p@RB_vgHX*eZIqB9@1|YR@8TJI5^%EM8wOe(4S!{d^5{d>%LCqZR?F51 z#Y5Xxd^AUSxkLsSdVBQU!>U`#OWyp`w8^p}b7(tuFtWZ0K`)P_Qew&W@25u(hLuNw zfs_7u%z2VhWaeewt9`p1pCOFDO#1<4vt^lZ~SSQ4}`px0W3#Ki|X0e$A95Im$;X=tE&|DYG)J3KY1xu=leQWUc zOo2D8k15F&cpjIFM>A6Y%`e+ zeC3*ot>*q!iWY-vf1O+L%?xk60J|65qAS)~JE#Y<#d=v@B0dr~0DUatq-G2HxVf9m zxZVs&RnxvQRml5mI8C8#qto^c&?d%R?R(UY2*u6&y1}fjz>a8&iNLI`DR^{v-zc*f>2q*NYf21jO@-G0IHc0a5*bOPK|Q5U3NyHY zas;inm=MJ31X6^MpQPuy<`)BA%8D1d{UW$2f9<=MzgoND{G*Tlk+giq67r`vneI~w zUWYi6&BjBF%DZY%xzmVRJ79wt4d$1Dcj%}S)}L>)rU;!#VPt16K~G%mJwutDd1$Ml z-7v1sx34mGWtr;jOZ#>HwBA)z`G&Na3CZwXe64*zJoe0>`fTzX?VQJLn&B2JrVJ_B z1w2?Srd@5Z)kpA4E%&1N#CQ0HWNLf$$4cKyn>#!EnxHfLo+L}8sfW{U(%O1&Zo>)R z=aLPcNsMOUrDSW3CR{UiH@3c0!_uwxHXO80d{-jPx^BG5U8eckCQr=Nn$_d>ftWJ! znOd~@7t)WSGNmYKs83aBO`48a#QhRnih6^g`Eo{)wVURnXsoKN022U~+ks5NNR3P| zjuhde4F^gmwT(65V*62<+6`Vw_c|F7sYtKPR}-(1lvNrNr>cUBZ3Sen_D}5trc|+s zER(O1x{E$bwo}J7%V;5Q3zwp3hDC#vDUjd-5O_{cYtJ=~s z3ZnWadu1mQ8v`(muExQ4uw?&5WOi9mQX zbgBrL?WoSyW>q#b%4uC0Oj4j##=Fwn`Cw9Eu3Ps^-M~0r4%0lIG#oxsr->X#U-quE z7|p2&*=%gB9q&ueyUEfVEbpdlW;eR$D|jpG%<=2m@{3p*2(xO3SZp3MN#se2WNV7z zBz-VQ=T7XH_)^#J(LcEqIXhi4{Eb=y_?^|hOucGo4|L~RV>-w&tJ$LaRi-P7%JC9m zYEKeFq&9^sugX7b>sA+Lj7x@(Mpc*7w+t8_7n8Jti?x&HQgBihp7L0z9p|r~e zyJ3VQ0y~vzcv+a*@1tbr@XL&MKWa25(2SqXXovY-^!Mtgu2g(ficFx<@G}!nRFSRR zrr=$}jqe?1j_tURt+`^UnXCKO`fvmF-mc!VLc!ISmDqF7&aP8F)9y8uY*5a z)`@TNlft-3K+&z+WIX!4kA6@&Rj!Q=h{WGkB-XbxW=~EM8X`O=wfv7V-leuF&FYXu zDfxkznGlqFC762r9A*wm*8sI2#h|${EuD?Z z%p>$aXOCNYy^pt0Go@F8?Ikx@P(8O)eK}qN8;ce4^=B)+JgMj`TUnX;N807n!7XF_ zw(OR%*erbH(1%kT>)JHox^8mjT0;^A*1w4wC4R=z#P@pLQanv<;ILIyHUdnf8Mh4- zTEmHhU@}jXZr|p;nRk$`AYIzxnN7?6G_USUGzk|oRV0-?xGjFoq+a_03))gk-JmNX zU88@@dUz1uMcPZ-!is+!5?TnRGzT_O+RMq+KY|1OTd=B5;A&gx5;!ci=4YLPZJPv0UFQr?u9FY6`RGt5VcLNp^bSIVDl zumdIIf&=Rc2&+sM^0INO@v?=XTCvwkK$e6~u6-%Sf`^gPK*J%H_a$Jn^~TFc;d>v^fl z*H(ld=GuVsw!vSuz8SZfj|!g*kiv4(swR=1B| zBaFVodXhS`hkD^*h(;A_iK>ChpEoFu@llddg4fY?_uHux**A?fsC-;B@Ue3L6}Fb8 zOHMKPn^ikU-e)Q%vPTY66p6Pac9~Yo|3`)u$?Hu}MX%e(vdWU0j~MSqXpgEG$@H6= z+^uz#^>FbabTSU3-$Uu2dS;g0;G3U>pQIudO_SE14As=CVR&6yQs^Yt-^@izdR3-d zr)@K6mhL2Xrh8mNpPgu#L>cjL7Js%By)25zy(_W3Z;t%|XJLIK&TaO?j%1~fvE7Bw z3eN+Eo#s=x1NOGApc4CBXKY=TI=X2;@IWG?CexLM#1q2sIo`$WYNoZE68gkM9tW1n z6Ne5*l^DY7YnN%0(@RZ?C0$3w3(1~*ER24=<$wKCyr=TTtg%IbHK8NpfXQbK1rcHL-w1jv;@m-#@67G zZ^UV70X==Htu`kKX3p4N3(MH=4kkYPcm?kB+5e?4vj5wbTz~7OznuE|@vmmg(!#%fW_~4SYQL`U zn|-uH85z=s+X=mHZbBO^$DaQ%=RxB=l2vy@Ik2t=OT*)0d-37cebe5aQea9{?w2XT zUbP91oX`17fi>*J$Q_}FXyouDG_8CmwWPgopKbQ0ZQQ78UP6>jMx*6DvtBE8j4aJc z9JWjk&EZ|8UQiWf=2sLPwm-uwPth_bXk*Q-9q2(#shHe}+CvX*VQ->%_5;IYO;$lM zTRW_1>Z2Yx&+2QzpU|d7M1)7+>J_CApBWRUt;a2a_UR<)S^Lt>0>xF+n_|UwYAafM z@qUu_UYQ9OVT)cHuXxuqi_~S~-{;wn9+iwr6df6gCmH>guR2I^6eek8D6c{-4Jt^R zBy}U}(5qS~|1iE@!80-h^m}pV2D1bqFauL5PqbB*uyn1W~QyE&J(t1Ao-KQsq7C7I}=Ue?q4*Gbx1w`6)RHKmMTp5RM<0M3x; zaY}4CcZ`6^>{s91t-2%7JbU z;3(xMg3J1(y9o_Z!!4Rmlo#dCO|>C7+a<3HV<{F6BOzN{YcD_QWves4wrCM;e#_g( zKNk}=pVxou{WE|6$4_UL?|%E(yYH+B{B>FLg&k*qGQb%3!hL)7jF7pT5uDn;?}?q{ zmftm(GK<^C0C6Fg^B{+ubz(Gby6SE7l2O)oq(t;89u2eJLuPNVvS}s7J5AL3x6RR` zlJEljB$gSKSJ`daYn#H(eASF-U{&?^uzi#t3GWY*+C4VM@@9Mnb3($B@tX(OiibKP z`bp7)zWiVwAd<Bq}qmA6!yG97CjKdS_y$SLa*5uZ$8mnfL zy&-Gc(S%8(^}=NNwm1T1_sPuPir*n!(V2-aVq}$j@AHGD$R-e}z8NFOe<%zr^9#v4JZDN= zZ=^n@gxIFTLkG&fB%ZUJ?9^u9X6~Pg6@P79qa(_?(5pqf_Stelg*~A&T+z@jHAYx^ zi5bF7t2f^w)Z?ykMB8aL&qV4Lu4Q|y$(A@vHvc%@a9tCu{B~%VlxW+ns9GbDBgUp> z=Y&LrP;YTtj-ltS;*@47_vQ4O$@{75L)wp3>S{%3$WyjZkA7k=u2dM7N(kvbUF1`k zk}&gI{kmrqT6Ab-w;bK6>zEXE_o>VGEYk`S^|u)aL4oj%%ydU^>ZPt1JR?z0T>-)5W@?~`C|SPFFz%6$MUA>OP5w`dGEaqOZKn-YW+twSCJzZ z$gjN8ANlK&uxd%&dJ$fmk(rsGsV(F2@N|s8)(n%C6{g-5;^A095N5h&F10h`8RnQU z<{)M-hG*TS(cPFHZ~Uu#-(IO29l|)o_Y3#7@oHo^EJ< zbVB2FxA82QmTymz3#RnKaK-a%6FX=`j&d6bo5*<y%FK$YPi@PI24dB6OWAT{GjHJ)mQ|Rg;{PbqN-GHBFB{w|iaJ_MPwdA!&2J1E z_T4n;uhSV75yH&z`Vz@$<(p#i1dF*<8;xn!AqThy_AU5Um>T-;=%S93{dr)_|Lu|L5q z?CnIKkpE&A^^}>C4Wkcdyk!Dxw4^s#n|Kf(oUK`D4SjAe9N}{6?7PjUY*Mp-S^El7 zsP($IV!ByRL4~|!@60$#Gj)VWTVAfyP0+7Bd{k%0Nu{W7k}>Yk3L>2>qZat|Ft}Zb z*#plz!T*-Qdd8p?88X|GY`C)4E1gB^cI`nfm42Y*LAF7`N*A9=c%jS-pK6zapK1eq z-(I$1!v>$vrxwfXwOOxy(T)G*ORt`hC&Qbehj4Z&TU<=dnzNDwzw``?2_C!cf1<`! zCz&2a3B#33@jm?NjY3>a<=h=cvJdNm$cy<@7@by4FrMfIwly#V<@+N-MVK`CSc9$s zTP&Pr<@Hjxs~%?Y%rg(h8`5L*2T*hsXKV#$B0ldXnC&ClLNxcaIi8Oz!wunPNjOsv zP!F&IJB4A(*df=6*ZQU+qj(-AtdKH$r8uXo+RQBpqwCNu7eev+64WWSEC>96cCAcT zlVL8D)$@SnC74p^Gat=TU0W-C+hzg}uj8^dmtd)Jc^jkok+R$NZ)KWGnmpD@ckim{ zVMDy%v?by`FsrMXi}N#;mJCI9dga~OYQB;YuUzWQdxXW@X(5)Gjx!z$Rw|OH+AJ@)VlqRciC z7Bx%CozB$!G&>QqCOY)2WTpXHiEqc*`|5@6`M_jKYFq+PjJ0eCj$)NeVXKiG-H}|N zz1fec!_v52b2MyiJ(6C}^QkRT@%GfAZ-=O(wS?4XT;jX=B{mCnHD&DAn%QKu{C=!8 zhA>pi^Wd}CK}Ut$F6t*VpE`677-wTTwMlEo5<4o;8mwdup%%unPBP3t32F&;uf#VO)Z&JC6HqBZqDPA!s0E2K8 z3GI_AP@P>z3T&5>wm+3@_e4 znWD?>=J(7ND)6VDB*lRCP`vLPnEBjIndtg@iHFa*-5>tX8|&X(XuYJ~f$Px_m0e(%5IGG3*y>}u1;N) zHS#?_vc|G*83=skE9q7R@$k%cVu3=ECOdU|OAT0#`r z>&f)cr@9^TrMDID>jwSbl^vL}91(i23Kp-KRuLL}y7e^M0j~q4c^haI5D1mmbc>U2<@E_0;MG*r#IAVT_pXY?O;K(4!w;X*c+{${ZYvq@y!jP*9Cj< z8iE^SDfDPmG+Qhw&1ZbHmgR0D>?jNwfKHVzGSLjSX{|MpE@6zWXdwrqQfr`5%D-(% z=_1VvM3sV30`+1=ZnWV`{JG$}+|pSb{bJcjx>={$XfDAu9!beZ9_36ZQhEX12J_md zl+ZD5sIp+Nle(vdrMz!Dm?;*&Im@mZ;p24rBqFYBE#9|dc1Dm>xx9k5-2=62xK(}wE{zx6bdqDm8 zx!Xvl0)aRZ6PzN#w9PX8R4vA6OGpC)_fJGjDy1Yg1b1N>7^ODS%s@mfYW=@AXzoMzSBHt)7F| z2wSCIEVe56wlRFD0c(j#nDm~dxvL2M>FcVehDmF!p>Zbig#H+XV^1>KD}Dfk#7V=1 z$lN8|W{hi{qtNDXOU{OQ3P?}2(x&WdNP6Kh`}L1(3A@ZCTMEUkhBArA1l6lgP~tIo z0ni0iT7PLWxlbJ?a>3}I5jy`-U^nvJch|39|7rg6m;Un6^1iC`qkEPke}N2Pep$Tu zhlKV*>p?`d`!Az+?kYJ+cPWGO$J7;ypls z0{0lYlR@n6?C1M4c;bTg`XAS&T{EO$3UX~bTQTRjO-J#abf{o!rm;X?1@5NXE3_Kz z6#7%WVWvS#md*~%+0?^E**?WaV~GskvcioTg$>gHRa$n2p;(uWR%sdvPTqAh89aFv z)_vwZ+1-X31+<4XSteIq9sX3D16p(A0gg3zmCr4D^oLmcP?$la!-Y?#^E;A`YbZaZ zhA_J4o`R=MXS$IbZ{e;grF!;krNnxxAia>7^6dzPzNMj3+*Q(N%Yx7)Zpm8dhH3hPa8*ER0k{z{34b>bMwC|jb zdxHnvMBh%^S|#`>!u)G!2EOrvpqv-iMz{za%b>4AinOs2BYPEM?Zuf-Wgi=sm^`tx zveTKVpS760$qxq}b$ z6XC8!&nAZQF-6oHfLAOsnTy~E8M-45WSfH6*Y)^dnB9Ry;Jd}nlytf!gYB^C^k0f1Q(^3^d$Q2M`CmJ=}f@S z=xyGzPLeTaM@((=+NEjH71sgnK4SaNiDh+KQZ2t&{@~_Fbiffq@IPoYw_DT=4<|GU z46h)j>N_gEL|-k-==ZswmqZ;PRgprvGo$MfOmiHaLwaP3Deb*~xgd!QjV%3MbJYf1 z^_OnE!ZV#F_$cG4#~IM+36jR+o+$VA`A=b}g85Hj&jXz2B9{NgZXu+rFZ69Q&6f#QZ#4AN5^$##@#c`9Vz(&k2FS@zml0h1# zyu{N#*_bB3Xe%vBJ)=?bU@Ml`xH8&u+hB;ojN#+ zh#mVhB~}}}NX1CI7DWTpC7hmeblT)oA9m1rcC3B3SoLTmr+rk!&kI$YxVEz#j~Ox9 z)wO*cq`^hNm!qN^%A@v{n2zEI_c{@AC%Xo6Xc?I;ep(AAS7EPTr=q1@_I>Qx)C-N(pPw;f` zmtnk+vV?WOU=r<%lqra`Yk?Pf(f)RVT zV>0H}4VbF&lUC+;4|=unttKwn$cw|B9f=VUEa8b5d2QvK*JBfQucuH`QxA{LW?GoT z6f6b$BYtd;Fo{4@882wInZopz2eA=`PwCoSDT+H_{&Y2teus7!HXHM{gv=%05oX@O z%TGu<&7t2n6=#*&E4ef=L(!7aJa|hf;s~?j6Y-tqn3>Xs4&4EsdBRrAY1*HXJvLfx z3joFocNqXnrPls+j^rGEHtih2Q+EIqjJmR0TyJY-bp=L(yX5&#$OrelI3MS}eEITE z!xp~-U%fPH$7l6ndwp9Q-3y;=Tz_W!7ueXT$>u;~EwmPTh}VHqm6sFf_!QyDB2EN` z@i1)sGLF5i8f}T&k4cnm!CT@AEwAvEp6BFNobkMp)8|*6uUE$yCQr3i3XNB$=rFi!RokRDFI!c_BEt6DdnJ#Q-By$DbV!0~A5-2-tYfW= z3L*@|E7_?HP=E91q0B)r#Zx8CJ1dV$sqv~`lfd99dM5{@1XZ_@r>W?8l&nJ>EhIll z2yOPWC!I*N9L9DdkFsY{hKMRKU)0xI&*>1U4NrO9>+(H}pPskm_?a0Y$A|Ye)}k(2Zy*hc#K$ z${=zDk0WuBvc58?L?!c(>`P~P1$Eq-9taxSZQW4L`azi5Wq>bo&tF3=!ASOL<3P`+ z8}OPOs=&-LS8@1@LcKKmv`G3$rI5V3LOgfDDt$Kd2zYR;gpCVwlQZ<)lZTnT*e4Ah zdE0HbYJB3gO|&o3G-HHeXoHy&te89PN8POthVE_bv&V!y#e+vqxZ$=3bF@y1DQ)_# zw3%DrIqYpCFjt^UVDji@`gyH7Ij0wqjNNtw8D1jwU1Tdymq#HJYS2WA? zbq5>HG6+T5`={2K?r1E34i6_Uo&Q4MI2t{_-+uk|Z+3k6;fII!pI`gvNy$LC9y}Z^ z{Kq29-9j_0H9YFj{2vzaYI!*zWZ~_fjrNQIGkfgcKOU=;#`zgTqR)pYUT68#S=)M| zk%mpS*Xo~%cM{J@W;s_HCrIFq*Y@=tqH^a|TXP4E$IPPE$7>}sr)F@1`k|So8>tWP z#C8ZX`#G|pyNn{in8w<#<0dJL(T!*OS;W1m;9;INk)&3UlyOCmP%6OnswJeL%bHvu z+)kb)ctqRkp{kHdqIlRl6}_G{>D#1jtlVj4(^dK2Y)dWSw6%D)8J1!iYv|W>89xCm zyc9(eHIe4c^r3UumWuAqx#H>xa&Jd}pJgg7h$P4Hjdut$vpv@BZmQX$j7bx1dTh9* zsV|JB_>LBz=S3Do9bnJz&ZXWZbe(49MsCD03L0U)`K&Ohe^$>+ogv~wCWZY-a$GRS zbgzsuR)ncf@|H4cH69aM=o9{F!}Zqa&>YShthxIllAn59qAnqurExLJi&;nv(XT37%!)+SjNl?}_biknQiL zXce}5QbkCMjB41WycZih)};t9dD(i0kSU^fD-|_wljX@=!C6Jf=iX&R#V4B!GAr;M z`L?57d+W9GlM#1 z(No{gFGrh;*w#*&?Hd~7ZegSDdJ|DNvwP&L`6Extwl&ex7-TkDB4TA$f}c8y8vXPg zyGmMyBmwyAhQk>71oa$W%dDNAWe*YW63mx0GwM{@OPpWG$>28oYH;5C84Pd78H@|N zK76$3+r`1RZ`-b0Tg~o|%7T9KH2x4hm>-e$gQB8=Yx1K8S&dQv{R@=oQ4 z%+z!ovP&3S@hg(U-0mpJZ(v5TyH51dqlV6nKGejd17~A_)GMMC{1YGG{W5PAufM5Z z)@j|S5seVJ7-NxiFRi1<62s6N-e-&X3rYeUFOEMVMEc_ zmRob*=c1v5W!}b3p*iIGD&<3y+BT7O)pU)iIVfz?j@{qOBAlaW-GwCDdPM?tKyitI zrbcumb>)hop)A3kOk8EI0%Evs*kzI%|JwN05yQ>LL8aAW;$4%!P`}9Nq(qEk%EE4# znN@k3smN?vDa-y&uYIe(H~3p+k)D@ZPDD^K(swDctCSP^b;UU$;##$|unPtd@+#d- z{BIkmxEyG|^+*jpk)_pqjzOO)&E2P@^u$sZd(7Q0Id z%?49td9<*45IUwCx>_bpw>?wDnrLy9y9poD-H5X9@s}%*D#mzVOLRmH%d9mQ3Joai zwcy!q!#fIW_Ei~A-;vRBN2m3faa%(Q|s<La^hY3rgS_tE{^v3u6hScZ%X z!}qW!Vna!l_Jr2x3-;~ET^wwzTA0)FoW8`cYS02%B9ZJf+4zaG@_Mtr2SRLv&#$JZk=waQcz7FD9 zqwJhs+ptArRS{nLE_VmGB1m}WR_tE^{>Ipg72(=nPAq?e@ZRyyyjPp{qN@tm44Npk@P7fpSe*)P}Vb=?CQe2u|Soe9=3XU zv4&&hJ5ZGhoIv>it(hnXC|UZc{`2$-%{I@x9`{>q8r)_J`+{JJ_B>aeJB%5rgz8;hi1NuwBokW-7uEOX$UWgP5u&gFnx@CdwWM;>02jsm7ZeNB4s;hhyH`dpy9c*D zkL!;F3k59)D8d^FiD65)Rr&~HiF|^^(VSp3#>@68yXb2Adi#w)Lyj>^o9AWyt|w61tY z*rfYWC_zpLq99{&=%vy|%Ph1-h4}dQCZYf8?;@Jn_0E1tAKre8{Or>&pUweoupR*4 zyf4NZf5A47j}Bc{)XS)~q~Y{*hK0Gu1yFmsTt&s=U^={qV$b}@efT}e9@O1zo{dU& zFRycz5cUSOousd$_^5LPXKZbsGwl_z&Xh9 z1Z>w5M?541A9T~!;HC(Q`I$?W+?{H01=NMrnf#DY4%NBJtUL?IjzA&w5S1UJoLn?? ztu_(nFBj{Xm^M=>wD!<4edgBg{~CQ-B`ltJTE)jl%XDDlqVV7iBdpuIVLVJQ6hAIJudDohqu7<$mms8^N1xDCITsh9k zS2XLl3xO{%v=*knlxOv~k!pp{ahA(r5dPF^Nd&5Z?rJ6MkGY&@?B^pvziIFampD_8 z5io0hkFZkIr@Gy8kOZq#@ddB$vH`rsgd4|75u%3Xu72HVX6yGdvz%s*^ho2`+$UM4 zoHF^NvKAiB^t(QA60om!Dc!dQL3O_y0vVh-9Rg7gqY%mZ36dAS58#K;?}4_BS_sL- zc9H{HhHwzME5bnpd&E_%sB?bf6kc|RkoFm4vBuTJ^{qXs%y2IztA|u$aVR!{`(xJx zVz~ttOnhQ^>VZ-*_WG))LlUq8L>q)$s(49}ML^Uk9K=gk6U|q~7vG2+!ZHcW6Ji}r zb8Y}Lsh>@T73qsC^HyOwVEYtk9$Q5eC%~J7q&F6w^UNoL%15-Ou`bkJoM_5N7A&$d zuMDdz>!#{Y)mc9u6aKl@Rr7zViLHF1jbDD){jFDS&mSU#MbF!IfHPBT@{KRkQ`2YY zO+ta7o5yEEreeS>^K%ZirDDr(2B?b%O=~QBqdt-Ee+RzOlWWy9?-LT-psJLkzLM@V3uh} ztv7yBveWRvyiKUQfaA|NNCsu<2kERU1rqK*>TBCr)7`5JPQ?*dL&_Bms3FADxhRj6X4D-~FZuj@Q$ zI_$fU12V-TSn{u+Z6k0rmw7`!a9_D;0z2GhuV!I&rf)F@pvdp8zncK$fWcU(-1%Oo z2GdpLV`ADBBIT%QIDNUud%&;3-!%d7+(#6v#a(sQR*zE3(Xq~=rRcVJc>*}iw+0y+ zkPkR!xGi>)4r6mTwe7gpL(oEAelOC3K^P}n-#{hhG4ceLyliHmf^aTg8@@j9na#qgA-t$t7+qWvH=#HW8K6ziO`&d?0WTI#n&Hzk9F0qCN~E#R zAaURB(4>pisg&5TX}3X0@=GBO7ap(vlG1j9SBN!Rrm@SOu0vKz0wt#GD9c-g+lDjd zW!F;Fj>YLub?%kwP%x{duCt$K&^!0mU1+rKABt#qtb&`Ph?tlQ7cT7g`tr-Qduktl zDgItSzi+jW_(!Pg_!{CFPj1A_{C`H(JRC;ArG?{7Rw4~w$`XrPt%GU6SM`Zh*PQk6 zznLCz&9Y;#BV$?VVb{XhsgMHfJ}V!tfBtKpVeafTQ1uU`r(Kah7#_q>Ne`TPdPb$v z)l~feac3ZIvqXDJe;Q(HMHqRTAe-v~kQZy?=^ZXr+hF&o(jG{OEJ@*V@LvLymI3rc}f z+LqVpMfrXztO;C0TxjH@dCaax_#}dt-pdts>zp_mO^K%EXYf!m;7%>)%@XRk>2njP zS~O*tkjFwq==TI&{J1&!ESZ#IB;r)UR?yb$4gZs+5IlmGPK5 zRMz%f`%d%7zKnCNyde?yR8q7P&2&`;YLi~ZO;U>HPFVZwNm+li=zw##I`oh{y)-vs zddY7dzhoS^EHf+7mzHhNU>Ia7{Y%s;_qeg9$ImdJ7ta0rx%pm} zP`j4HZ@o9+ZDbp6Eunl9yAvS;Os2Xp7S!2@dxHdUS(gc?5tGt?SqFuf9{u-I2J@U# z;_zX!Y_+vea9&8F*=eCy7S@X4K(q8q=nGyZGkcI!`(arNf!{;~0k z3ZajnV$(6Z3Ew0FLrJ;- z1fT}65HO@K_?kjjL*a5nvNom9d%|)M!iDu|`1rC)-Ir90MowRRIO=V13u_a_#LMmT z36xyJi&unfb}fA{8z*QBrH_{o&Ak7T<AjdBQJRd^a}CY zIX-2<{Z`FK+nZ7`6??k8O9Kot%mOoDf)J+Jm5T~Fl&5Y8lo7Y^G7vKn#gsbr0x;0@ zFx|IPXKr@e<;FrWz42Mrss$?nH}BPT&s~EOD@8$N#B5II>dY24VGf%p4)N8c&|64q zB}lB?Ow%^9ZfcXq1#Th_t}+EDh;2yBMuH|C!(aD;suO^PMRfr=7xi&-T-}={%PWFto?5F1LW@cFIkP%|h>V~X}oZly&6VyAWPg-jj+dul-qt7;OJShMC zh0Njw{`p^+9r)KTaAkQ%7+I&SKSY(R>{G;9_x1`(Piw8KcvQdDn zczRMgNYV~&j599}A_#J2%WSjyxHiOi2?3ZqQeN(Og7B*#VY)GHgohe3TPNjKGnaac zbDkJ~b;MG)`W`5O5$E449fE|rQ6+>fWG+%Vg}P&IjiHq*1pu1zDb31Pf=Rw498Sci z6mydFxlM_p*9Z{@5rQZk;kR5(+gA&8zv@mxPc^fi^x(BqnWk;7dZT4XRx~~VH!3g; zom(IgHNvA$$?PYg@h0yk+;G>F(aX>y!BX1tjwq?JP`JLDCpk>j5ITOJ*e*YkOam5b zlvO|vjqpe};FvJ1Wyp+>#0^`jh2FuwD5FB-J=wV&OL{)0vI`;@=q_S3|Sv^BJh`x_9eRBCrHE$b#XlLN=$`fH5pB7d3jm zVdA{K>Hg))=+5)nwtM<&R)5~yK^yD6Qrs^5PSLv8c;=k^5uy`hgODca&QF_cdS#=| zZXulsHg9C}OLPy;xCf<&t^E5W+0cv3EKPlAk^bj}uB`xKUi8%e8j`uHM6;lM>r~T* z={kabVO6z8ibGD{n9q&007*SGKvj^o9jT)?^9lc!A|3n%<7$s|=FWvk#v{ZLZSNv| zP%s37UwG-L0_DHXE||AanO{-3X#;lZFhm1D+sJl(29f5scr2968Cs&i`9wFm$uXao z`JF*lP8ssGq3TOBl^(o1^*VCrX;x?h(JO>b!2%}1IxX$><`%g2W(ObFEpG>xaaqm0 zwp>F$GSgWL^CM@tXY#wv1NM`avnsG3!wp6gHYtndU=E$22( zc?{nM?P@^u!iU>)#?tY3tMZN-{{uw>*5Y!{=K(v@%Z`dQbM-NVBx_j<)nqw>LUPyW zu~1}`zwrK83C39`2fa(HSTx>kN{75w$~LJ4AD+yQ%%bHY!#LUyk-Zvd`azRqmVNLu z;`ymf=`OvtDhqDLo7_z{aB&3+@KkO4c?^G29b2{_C2M(_up#6{(_TM_vL>ZMa#XY` z60TK-TpqVpK@ZP%i`7xIYRz&)5~nKPFLA)4`g4pddfkT$3D5 zyu74zt3k#^6e%xL9(L8$J`Z_R6e)g=Kb~BJywp!=WL=c*Fg4~6LJ8`e38Ei znI(!dcg)b53hT3vB%EKOeUZbvEPPXtrA(>Rue2R7#p3?im zf+z+sKo2cd00t}guH0+2dCys>DNY0T1x?u55@@Ok!&Rs$&6CyMWM1WDCdvh87X@M+ zjv*-gS%#gWs&@QQ$PAKsWiSQ`mNyb4oKMaiSce>~E5`WS0rg z`m<`Z1){FJc*tZaP^PE&DGe};;V~Cz9|_T20m)nqR_*WV8nj^ne;|MtGUNy`BhLD! zEk({2tmtEl7RWPJoh~{)=pa{%j*Gp!wb%svDFqnu!uBTvv;Z$d5tDv`CjG4 zl>cZORzBv+j}f-M89GXm?|NGujE+q&^z-#mmh4^& zRVu4(Ks@}tZW_G0>Dx`WX3w`?oBi!(_Ws*{+j#Onr$0N;Q5LBFxve4mLBSWh)Vsm@ zlcQxZhunn}W|d#W%wgM10KqPZXl%@z{= z;aK&Iso2A`O^71`-~b$9UJFi291(I6$>o_sj$)Y% z!et7Qna@z|r2*CCx|#YD+`jW|X~HuWtou2N+)52mYX9kL=KJb=UF(D`2N=_6+nla2 z;lHQweVQ3Qa%+>GxppT-hMQ0v6U8;aBspBlWC{M^K76AkNkH+-G)s$<8<|u;SM9#mAKB4_|hi^0V4b9AWBKxhE6lp0qTA@H`2>?3hP#Y~|jqVRogtd(jlICZH9% zGBKw)z)Qc+`!d>@=RP@VFfKu;>AxL{9%6AbHA2(I@(PHpuUUeLdMIVz?J9{LgJz`Z zBM#x+^GRjMNR5ZE$jpEGITLG7qek{EAHi{plYd3GRl?szH$iux)48N?c8RXpE z$4!;psTOVv<(zE-7vmpx`7`jWWyZrWK8RBz4{OnuYQ`G3Q%1=r2`$UskyM+@823g$ zakL0Iz9?(4Sjz!Ajum6!sPJQM1QXk3yik8)dtL zmU;SrP)v`QH&DCiTv=Z^lrx$kYAo-X_8)}sQILi3#b|7W>9{bQ_C`O@UUI|~$!dd& z;=||dQx>s)gep=e^tf{t!dk87^kbjFIK3I1K@^9pXl5y=2f$WQ6|j}yOv(}Jy%?`S z@LfTvUP0!3QawUw#gYiQ;eKpjPYnCJb9jSY~spXF70@kR=~=)ETp zbYyJ#p>oYGi#u>KleLuKVd%$2fv>0q-tZ~j1gi@}4{KAG_9G2t;;CU0S9JwK`da8T z!4OtkZysWaIna5VWf3>L=rgua=ZTJ;enxm<8cyZNUJw>#Ulyf$Bu?5L(5dRVy@|No z3f{AjM|E)btBhZ{$XpUpxevsnQ-0_!x;!z)Mvp+_h3PLzGgJEBRYF9(T3D{2F|o@y z=^{ivgYWMUwz<$;owbWt@UPG^!kibrp0HbQB=Q>ySH+pH*iBmrjKIq?DPSdTr*68t z*AWfgKEr5XU>O|u)EAsudfh@%%ybLi<%-B#|B9jy6t#HO4q^MO_oF_kEB_%5v7VMU zY4+1Qc{2SDz{2ukOS5{T;kigR5`9t`c)lss%Pj@twi~i#(9t(lNH@~Q1v4^`=04V( zt80jf$f;#V4xwU1QO?V(O2frI4paBNAr|Pz7^~WAA{;T4Yw+@h9>Yu?BCs3}Xo1qw zCsAgK1-`2^w&!;O1vPQ{oApO1*NVQpnZ4=f&$ecN@eijd`JRtoHRxVq-$35IE^zI< z?(Q?W`7>{u_Sxwjz9TUUGg7rox3qz3*MB{_6M96P6khVT^2LD8Cd9c{)4D zFJvz6PXqSm)|%QFoSI6t-*dmWvMa>wazLfJH^24x5kau&gs8YST1fl>-U2J*#_)XM z-DN+_2%ZX|Unl!;YYLYywz|*(VxCodcPYe%b(n{MQ8ovMFL8YzDO0{ML~JT@g^Q;d zW7ipv)-X0#*{6+Fq{EFT=UX~htakcsDRfAf8m2-$5w(6!5g{V9K&;mmPaw%Q67TR5wZQq(6ZJj);|8khXLR4bA>xnh3T0>s`h&7j7*issCXsI0BOMQS+R=xTGQ}&8icSr zh+Gf96l!5C`t#>wk^9BK+Q$u1S*<%_1o_z1yF_jCc5sGs7Qf=pEXp=RF6D4HaqhYq zw}3LFqMg|~5_*>&2(&9JP=o9&e>2n_HxzbwFB1#7q^t^j+!8vkd`ih)xBPK<$?xAW z)R)#m>%RyXL4Ph5Y!ET?k5^r~z&EX%h1;hB3!x5YK%TcMN zK0u!`<^I)-{b@r1_}kNk&C8YYg{!53y2Wd56#DcNO6_NrO<=dk~hUn8BAy8*YAF%ao^7o6&vYxafK zNNW}y^IelYiLN&$1BE<|Rnf1HIA(~BkixZbh3X9dtu(_0v5?1S-6~CG((xW!34Huf zTQ;Ku<68(EV^H#{HPvZjHQEkl-)aFp%2K~);epO05EgG-XLg`Y zhmASnq`ixIJvn1V8RgN+Lxh&e5DCam)3TuBcrkG4#?Z;``8e$hQ%c+D61{Yyf0YEb z>IgQV;f#PZs~cTvPZSy7#Atew9zLPF;=-kLc{7wDj}m4|;MEmnhb2+*_!^gOmJz;b zYS|0Vbx^S(@i>p#c&kv^8NM(;IOM_<)D={tB8a1Y;jY92Po`KqM&`<+yxIO-JzH#X zs2v-{lc-SDx)AM2f7Wo@APYT8k?&_^j-vpB%lq@vG&^;Qh(7I6Mu5)1G)|rmn77jI z3wR5Xa5Oi}x?S!X4U`yb^OFtMjr-mDRtbjfNFJ?wf=J#zg~>^KGs;#~-?cO*-{s5~ z(UV8+vNn-_1| zZuUv~aKYoZtxq~Wx$YEeGQ0Bw_K)L!Hmy8CZwdV3Ye*`&R=QL)IygvVDB(SD_X5Ql zv}C!&w53Jft~+%o&zM2~RSntE4M_!C4O#Odx}d(;&<4O#X*dzDakb9c@K%2;s~&6# zKG96Agti$rH)Rw7^BKYq$_HibUqMs1Gs-PB1!GfJvXL`63Aq!*8K5AT;Kgb@ZW7m{ zub6-Z<=V4QQ{w>g65cQjR^KA`h2A_RCap=0*dBLUSWfBh!bq84%nE#yDf&%XH9?<@-bA26{@h z{}86p&UhbkFv`61))g^o;FgFENi2jr4MaYg5KJGmqqQPkm=Umjpxi*N(4&Wexm=l67 zPI1Nx8UV3)D>qtIVr+Djfu6*-z0s8-v+EgIT{K#}ZJU(&4$R%-NlL2?C%r+AamS4VBy+=yh$w)P z+HFd-(x7~Jc6AgUPH>QmMs&`!f*qKHKrnP45!K)*)16LKHs+#8_}pQ7?yx!6YR56I zqL%70GzPCfIVtb|c|z7_|CM<4djjVlAy8lZS8T)o3&~h>f2J7!9v=0-^QHdJWULGS zpTtD`k&yM-|B;Zj_n-gw|Nip_e>@)eC;rz2EO6-`xYM8bUlXpf{*1x}{fYlI!K(80 zAJ?z@6aQ;M)m-Zz`0S^D{QheKm89d3$N%={^?yy6Vlw~0ZT`gnnjkei{s+GPPyDY5 zQ4@22;C_GNe@%c|5dVSi_!IwY!V^II2M+lY|7(KNH-AQ~DgJzYe@$p2totKD#P!eX z|C+#*y!j7&_0Q}7ny^#|_ygDciT^c0>E7=DYeLC?i9bLS4TG9oc(;`#?P*`-2P(!PmjNNoUy=sy(~@HyisMb*o(4?y`RTC z%6)NxE`2$WFDxC9Ub*Xm-_HRdO-Z#Fp?)abDxT-JNQoj>Bxpb91`_1OfeO(XwE+VC zL^#B15@-011Dpu zx#2RF`rWzKal8ED((5*d{ASPL61y zK2GGXr7O=Fs|JxQ@yQz?OQDE3HG%DbTx%EBv?Q`pqxU+gLL9_bpN)1$#!7)Tv&mha zlP_#;LEQ`^FLG7g75WwaT*dMr$!CDkd>0WtqF)Lp=2W{}(@qhV0{vOmW6Q2fQG67E z`h=st>FINd&**w-FU**Y#jH*!-MjBpx`k)Yo?0Ur`2a3U%3U`(dpM%m4=%M}UbS|< z(N@=8WwNh=_4-9C`>vwxEX`6R64hN|Z2tvksfIw1#z|iyDaQ_8k%b zxF=Qlo$-TRfR`ca6+ZJw;`X$1OVV9ej|&}ZoEmz0`b7rcFQ6Ez-)}3v5dm^*R-E&+ zcWdc5Ssxx1=3)<(DwZ7!lPheumLd-xE=fhd#beZ`G0QmJ#eWk`DOEX)j;FDNA}ke8j$-8+{SqQPvte z6n@(AmHH&@81X7s*-?pJ{HF*N9_P!{&6KD&5#`6sbDsj0FX#(@A76RWt+S67G@w3; zo-W?N)FC-W^@8%8{XaUH0OLpy;V|lN;+CQ=EMxJ{shmuLluy?QsPMA*x zW@J!d8s=<1Jtr~uOkim54UEjiWg>ayb>XEf_O?~jmR$z9U|VkNmu9o={2AmkrzB#R z;%in{7Dln~qp7o=saRtg;id1-xiHX=x-US5V_|P8)#DgDQjwE7rMwERt3OAK zlvfDWFoHE0Czdun5cWbARN%REELb=iyuK9$!)iyM(OU<QmZ}?n$j4d>Al48`)UmYjg~m;c(=80%%Y><>TVwzoS0}C-<@a zE4F=Y3tJc=uk^LA(+?okS)xe4!O| zHr!!aA(O#jH`wN=tBr;PuE7y(6#I3rBM!Hsrj9RcKFHpD$Rj8+LLuMER1}7Gh(WHk zg~DVLK8@+3i-E~{w~69u-w$GJ3FQiY2L|1(>4X}6l!mGt6U zxV&*S0Mb-$R&fB7|RjtQGyS!>p7Y3G{lsWM51)RFBe>^Mys20%?9sB%oe0=!}O3^R&y!CD#Ba8Ib zmaeU zkLb=N33Hrkl6=O3_!oIHO~zp)sX!Bq0;y)hM+Ko7Hwx5W00sXnUm^2KZ`@p))DyuQ zjnh+MS$j|!&%%w}kV~4x6F0E!^~tkux{=!AZ#4>!@(*)6!RrEea)shLI%cuWGbOtM zmRwSU{V90++iltm1lTKcBm_Ren`YKW-QK!hid4b zSEOT|oO#N&ryQ+sWcd&jMt`=kZFvc_p&%n5XgW9qRb0uG(|`@Pt5f7kFh<@@(X?ML z5ZvP?ttBln2<^9b(8o!2*D9~CL-?>l%wy2~BD=zotjItq?x?7mMwoqV*R2`7q2Zr# zF?5VLxS3zN7DKuT0MrorQ_X6{BL>NHR&+rCG95z#{ZOgjq?Hw z)O(MpA#*zr{DOcBvo?+GePp!DT2zuG9_ezHW*1#oN)AvJHAk&Ck6i3Jw`||O4YM*w z!9T{yK#bW3+0t6Ru{TO1XGSh0JeuOX zvUlW2t7o|SJUSYfyY%+3LcQJ=*>;}47mz{m$t(f>Qh+mKQ4N!lG9$7I}Yo8>oN2j;Z<-w0C<}&D!azoq2CXz=V+vZ1do2 zLjJqWyIR%E-|nMF#BI7AU?VKtL*}Tr)ZM2@y?kxNqdo2;{ zERtXZz(?Gql>_(^M`mi5__rE*<_%c4Z{U<^=2VXHyPd5sY|QLtO?dgOjklWb1@83` zxi@Rl-Qt1YV2~r?P3@z{c{&4R$m?`$1}ujoeDliNS}Pvvz3}t9pL$oW_rCjEKL6fv zFW+fP*<+FyBIha+f9}l7BG7}@5Hf6L7@r))We99I#>HYHOz9a1i^Inbx|4Me4>DQ> z-ecI*K{#2bJ;-YmgpFY@4!Xb6^%X-xmECdXD}xj+2kbk=?~%4D)ZvZ z$Uy>Grx44H#qNV^SPs$rSpy}`oOoz$G`CKG8N>2S12T?LC%%}o@0X=XyApO>p=_Es z6tn?*DUDe>AzT0?p0jFijwj*M1`*7iyD;-1#~~#-oYr$Db631{W!Em_``c~U__QDh zT>y!)t9zR+a5#!dK9Nsm9kz?lT8PsgY-8`DuYOL>`0(u8P}<3Fss)^`u9 zru}eWM#Z{j`C12}k^Q7}+`vR7vGTT#50t0!_{3Y{?wtlpk;Kj|+1EYjP-4AgZmlh< zf+3;@h*j64jZ?1hG4V+%d9W!Mq<1D=lkR0)`^fb~Rz6^Q`19kd`XzB;=LLes?{EQ; zC<(K@P#?gQR3O^23Ro#j7)roFh)Y4n^-FZP{73(W2eqY)LFpdNn+orDUj#Ki*50o4yRb8{)qcblsOZk~JH2l7 z)wrkzyLd81O_>ONm(`lI7A#5%VR>cR7YiBOe|tBqtHyQ(`sF(sF5Em3;S(1zu>V|v zXXtN^Sj|Yt2_pyD@v&!#>K?qMV>2V8J`=EA)9WyG^?dotsSVv#Sbp&OnHrxb8%6R< zP~36b5nC~OgMnl6m&^!~Gv7urTxx>mH{csDIlHcG0XVO)!O7gHIPv`WPxZxul1H5v z0NjNiSREvnM2OqyFU_@vZNO9;UCyBk7c%kl->ttSb34Pj`eti#AP-OKmSTL@mnc)# zmVng98jn-Pmh!vCy;={qc26fPvy+a-uP9k0;}}u57ts(73WXwlGQVZ)cE$34-Lf8E z+Iom~ttz~%&L7jqHX9HNh zE^q4=Z7{x09%HOpX=*;W;iE#a5V~HD9~2z8s~9spOTX)p=q5L{| zKbsuhvvYbhdvf{2P{d;(af2MUqBHfBq%rb2kvqz1vNh0zOXe&xX|q~$;vdX zY&BN0Gv?jloxg=>cb9kGqp4uHx-;a=>!9fut}T~CPV~+sxR@5__tdIDx_o!k1DoRL zOqZCI5qpc`6Hi0R5rXvEnkc7P*IXzpwgV4(f1w0|T419}Q(^JOX9OSi{R|PVVJ8ck z{3iD8X;w91neQ`ncw#uZV*oa-l*v|nTx|3m0!}Ae=wxrMO1drm2Z+(2I?)^5bSN|5sGW^x* z-sjRs*R+%I5cO_NS3*$7Q%t>#_lT9Ucjz}Xe)<>nrW z=U8VY^o#@g^W25|cA=jWbh{Ck#CV9|m%@oF0ST4rxhs_78n>jgcA&=Eg0TQ4>1b?) z#l$MTb=^&rmGna0eB%i3vz=~9FA92g|mb7Ze<5KK0R;D=1x9-A$J36ivxrMM4uM<+*oQsO|xkiU%o?k z^w#SocwgDd+zAF67&KQxmL39kp5E8D`_*&9_hL1cF;o^l3pZtim8JhU{pM3d=xZBT z90w?UsbHg~udD&e(>lG?W_>=Mf%jc48SD!nyaXsOnvqM2Ud_}58eabhGIQkjJN8w%eu5;JE-+s(oYMPXPN)7Lu zJy>Euugz7#4Zr92NY4r>ynkRjS;; zYFN-qqSO_4G~TP@)>hR!t{rwcc)5pXth>H5nml2u81D?Xm5}P^HrilR>m1Fk^)XLd z{doOC$DbnV6K_0Mr+#R;dp%3|)=q=^q z8vxhUe|2TNKI<~^8|anVziIVm=R`piGWPxYwyU3qh1rN%So{j0+VaA7g+OP}4lledp`fEP1*86s3Y(CF|B5;{AdSQ)g+e|H zX@T&(H6ezS!n3g_@SPC}b0^&{989{uWr9rkWevl~54CF>6y)OSd~AZX_j%R*S3k1S zavr%UI_;*gRe8%Z+fcr;e*;ssS&lBz^SQNQ-t50kUD`{SS=f&zFK%e|5eW|ErI$}$ zzlpoyyxOrH((v|qIn)NdVZ)1FGyF5ih7Z3mMTF>Ab1&V3B0hv1za(Xn8U5~%(Pycx z9U;kO7Hw9hMHR=Y3W*c*Pru4oo;j8Gv%0w3-}%;5yk(3DKEYu6yHe&3eV}BzNs@z@ z%Qt=Q`?q$j0gpU#n)`lmMqr8ivgR#OO4RUGZ$q@tjd#9wnddof1soN|Kyq&7%k)2_ zri>*auF8M=%B8OLhN@+y$JuQIn7RGE?80?^oA>fX<5~O84lD^b>&WI`X20v)9I|QC z>Fr5}PbRGik3ISA_eVZf|M$>Q+R@>V_I+oWwASyTt0$|9PR{Yb`*&lIKyY_G(h1qN zzdIX=jm|9)WT0}r1*@Y@jB@Lk(1_2449cZWgfhN0L@zSe!j#wfg2CM+!RoLRyog_o z#A0$~@G+WaH$-UFtHT}ll&2EQ_*K4iaJO%FBogR(wvBc7rksj28V+z)`3u~y?UZ2e zZU^CN*SR{&{w-@cY$O(u3&?#q6&6`z5uC%cn=0y7ZflLr3i*xx;t;{=gcCWZv%3U| z^*L*P?U({`XLQ~OsC7eSS(fTnz^EeE5Fp6AHnhh9Ccm&n)QvP=enneAAbfl5Lz1#_ zcW**YT(s!UH4jvlHCiUd-d&=%aH$`ze`^MQe8Z&sWNmTrx;3^P*Tc#M%Ij?xO!Mbj zdym|;>$;P}Gv=oW&*|UBoM?54lHZ@wsExsUSPbCV>ABYXPdPKeh?RtXAK1t zta8p3u55w6Zl4CS=23SmHyb6v=7oJOW>Y61C*v0~sv~p~@Ab(0!Xpw&;oqhB)P3cS zUq6(bJLk$$#bdGn=Z%J2jIX zL=yQRk-Jo&>bhZE*c);%Ag=Kf8}h=S{*HF8Ii}Y?fvm!+XVW*YD1rZXyP~=?)^i{g(f@8i2c${`|;T)ALp{_G|zT|M(qHp zwZbP%a#$NB8aOR%F1M#fi?bu!MiCb~z7EgW5|GokE|C%Y8z7^-LMPRA)4&_OFO}rk zdz9`=S@QpAt**B^w8v3v%p=gwZ@4zLKvC65hqu93XLq->pC-%vzk^Y=vtGOpo@j%p zEKU}X98eulcINdcMN*cj{1`m?54WT$yoBX&?YA{BR&wWdt(u@jed4{Gs13z#vH{1n zk=<8rw`n{D8tl_xe4qn*k=g1&R__%ZcX!Ibj3OSpNV zJbh&iF*KhIa~SKaDowiMI@!Ku?ZMkSl_*vb-<>5*r4aj#lSS(tW^}uub7X|mIEX?= zY|_2!sQ|KM*WP;Lt1*V+5L}2W&R*qw5#cfS?KIN|BlJL>&kQK=O`3JKQ}}ehgx6hE zgdf*>*|~C;P8`k{tg?J?bQj#diNyYLJR&R zD9Y8QEh1XVY5&)vkDGt#=IR``aC^v_j&-)-NtkHca3JYuOf(%N4{&dp?F8fEMjd0S z=p9q6v&FL1+UNg^q;K&{>TdjB^I5K$vgVeS3ft3`Pt&yKT>-bba?O%e%PV5)CSFQZ zQc+MUGc!%MIl~ljT`jLUGBpLfQz=j?;uQohBq#`o+~LQ*zrTRj>u}EbywCgE;!*6a zF5c6yHskkK=X}rdW6L|jeGv1#Hss#6EYv>ks>|Q5^f6AxqBnS*7H#67%ufkBdwbC| zRlljzRAQ2J@f2#Cu!1YaQyC}msxEVfAb6;yOHeJo7Ypul2gXj-igwYvNQGS^wzS8v zYPCDh{L-QxrRTxiWywqap^w)fG9~cXzk@ zD^=KqrRCGeBc}ciT{&-Y`Dll;F(c9?7^}GNx6MF48wl@`|LRzC0Fd8I!j%D>ZdweN5}rYj^x#gxu``UWTUjc<sp%7Tvccxu~d<0ENuhRbTWeJHi;B=FJ_NEbOOWGLr; zw~J}A){hR)qQUyuZ;k1a{5>S!c9J*d?_yQv1FMZ?SGv}5L&XhZbv<64yra+Un%x@! zOkZ?;!reWc6d%ZKwLC|VCo%o@`pE5q(|UiyQ!`>&&vs^O7EgqN|I70%HaWT+jC~Et zX^r1x6hJqxp-Vs&84y#tyD9G`a%%9JkN-Ix4rTNM8ckKfEmbHXg`)XHs{g|-?i_hV zSm)ny+eY2iDc{H3EgfF^U^eW&>`&^(pe6HT^I1CXji31VdgiodfpRZ2eagRp-0EKl z2oy#*4i6e*+8UyQT)HN&Td{OAFH{lmraDUf_=B!C1ZgnTxqyks{A8tI?<-$PFs0l& z9`79v*UNX6d9EI-em#s(KeR<84NEhQJ4|mL1F6eL1H{W?AlYN%`WHOU|3N83e?}|U z^u=$vM`pvVv%=mu)N|*oRKCBb3S*6zo$RKj$olP5x9q&&(jtvLfc0}bWzeoXX{NJE z-9oSHaMRyl?UN$b;C0w<2$dV<$ zYZ$W)APNSOm=x5Ngl7N65b$Kq#*;vi$Fq9}@V_iE_su>z0bjh0$g^&Fw*$uGq`#(v zHJsA)!axGHI%7)nK3?0YsWsN!aBa%!3|#{XIf$@gUdcd%d%MvR{7vqnSu{keW4f?4o>8Q4{sM><-J z+S;o~|L<+|DN=k>a8$o_gJWH+?;t^?f75v#%ChYG2WUs)Uv5Z06Y5)3XvwaXnn#>Q zvH66xeWVQ~Ui`|)`7v;|sDb-!Y6hQ>zzdzqbEc(y%4*$u_-ey1%Be?vA@HnXq-B-u z1sonIdEq;v-2E34V&jcHr%)0MW$o^W7XA*y)J(Uo<~Z)MZO2`o!4zsoy4K1nFrqXh zb=}haaPCX)ks4Lt9miv4OLsn}^q&jI_FUud-Q4;9e{Vki+-lhB-uqWS`rkK;w+bI$ z{#b(J{_A@)I2pk}@?58c|y^f1+kC%UQr zVQCn>?yf>wv8r8#^Y&RS)vs#Lx0;yB@qZQS{%-0wdqTM-z%H-|@m%_q(pzmbgSRPg$;qK!5*#D`PQ!sEev z?Y2v-0q|IV7B0cHh3GfZc+N?!G{9E1YZ34z8<2a&xz6c$J+hU>^av!0i_my%vSKzu z`zDj~4uGaWTK)M3P5Y)nr0=xfc1p;ofJMDZt?$h^EDU7wk{;~MnuZbRBj?;ZW&vl9 z4gqKijn(RC1n?J+X0t%AhQn^H03woJ(bsm^k``sP#7m2nc|X*No`+L0Kl#kRiRdjD zwORvIbcwEpyQzs+ijkPzpjd|xXRjy4s+^X!lRVr9=9Tr&oe!rsXB#rhR$>Zl=Y*J{ zFTh(3JJyp!={fX9Ku+Fxu08v|MwMCmZ$>PB0DrYcgy5`vjPd|;^YvlhbGqP!+`qQ9 zuL=*mm}vuS4uiCC!0T5Y1?Zi4Ie)@0>dhCRhI5(?HZ5){PrGD5x`WR zSs#sv+5|v}S1hKwp3zT!I$9XgEAyZx&7Zt-03^5*DF33sh#;rL#M1FCO+qdDSmU6dL>M*VT~^VjNhuWTZXUh6GE4c9|pVofF?$v9ln5C?9Ob& zYjcCD2dR_sg>LMdC<(bbTNg6}ZgrOWR4S2q%NMQ#@dMhp68 z-_=01VZ`$3AQ3hp52MEf!8cUZ_PYG9D)zH))7R{a*-xOFkD{IqNJ=_!t!?EQx9&oD{EuTrcOB|Soh`xIT_i0jcJ05CqqiTWEIWC5 zyUWY>YmPWITGhw<3fth%`s!#Yl_4O7`RD5U{(F#DDt6SExC7VaCmHN;|Xr2*C3|Qt_Je-^`ZKxiML4EIO1gQX1*fU z@hCrQM0M#;3n=$WgVC+x zK8YWePnI9R#K|I|S&N8Uf_{s@X8BE*gRK=Al#rqATJ2D~GvGMmh8u&2G>RA^g;Ep6;S>5Bt#S~e>2XEMF{Ub~v&a&v`GUVTDU-q?{E)rS!u#R&c)%yZ&0 z3ErJpWRo!c{R*{!|Gjm*-ze&7Lp|@^h39>OGB{2I8PA;_G7pZ$a0=`(uh+L15xaG3 zU$#1K50saRMk=FX?PG}!@`>4)`^WVfYu@IY|2btZppY??V>(IM>V?@2NDF@OiXG4s zTN|m2^_N*A)@FOJe3drbP1MC*&R50lp9}WM#hgqlkWyayWj%IC^X2!8SHPCFd6Uxo zV4EnJKT**8jl>w+tNKQ|t5e#G@d?L_QXU>xJ(}*livSp9jlt^*h|~FTi}XfTVE|EE zmwoA}nq65SdO-1Km!}&0zmp~~ORfMqWV>CJK8{RbWi-ljF8M1&4#=?b6SiGe{k{&@AU1UAY#yz{T(~H{iDOcce6bp zr{wB_-l9^b{9t|G1hF5|s`48n7)MIG540JFPf5SZ?EA?=9rwbgRocDsth^ma)Ed=-P048elM|loC8n3Jx|3C z%*1?QBNbe2Rg&}p&+`usSvAK86ti$Bo)fh&KXFir*Og$PfFv0JPEbzBIJd%Sc1O=N|A;_s9$!3qDtuWuJ9 zrAG$BrA-{C_X~Mj!4Nl)qa;lExF|7w@Y@RCzGT(JZ?3(#z5wlHE{1(0T)4QWCr^II za7l%QGE>tB?}im9J{_gzr)~ION>iODtsZMXzw{a9o}IF7|D=^O99$AT|Lzam)lLI9 zoijIDm{=A$iM=zeeiSMFsxzlJ;BZTM24(Qw4s!42jnY&_Y4N*4hmOab*pA|}Y1m=e zWRqv_%I_6|Hqsnq4Eyv=?@VEEJG%}Q*GJHA4_L$J z2t7b+72GvQd66D0O`#L~F{E&YKW@X&6sD=jP*TxH@{&%t<4S_i8Oz&?-y<|bLkWm; z(Lg$AJ+ssrP>1;%RC1>x&$3@E`O09!k~nyQ5>`I001baKct{&N&08zb`p`D+ z()P3*5^RDx9tx@Ux4<3n5hZvvbNJ~>Z0OODMmE5nZ#nD{^C0~U? zA2jgl&cQH5N?8x$XIs+H@1O$Z+p*?pX~}{@T?N?A-xgT4fvbvsgI5K#o5HUJ)fyANgKyH!dk~>H@EDU z?)-}pi_sJ?Cw4>&_B8twDc+o;93Np`oY`2YHNkl=z&cE`J!(u@)lJQw(apmHYsACd zh#D~xZJwYmMjLWk+nCC^Zf>oZ+)ef1OeFBtiY~!Z*qG&NUV8I%=AdfxUo`rEM#yD2 zuTG3j$hgYap$+F1hIKG>zNgvZsMW#EPQ<{3H5sj&Y9A8qw|J_djitQR zE|_)S3C8d(#EJxd@o0C-cUJz>c1WCT*3Yka6g5&+it{y7k-luJ&=(WYjy3w!=3Wyp z1n-r5$(2Z&Xi~=;vzn_-MDav>ynnDuFFWG!P%%TA+4p%H=9#KiA^OsLcW#!jo6}Om zzfo%swhTDDvE*DMucIj~>g77;1kGP|?B%NVXV4KgER!B^aTGfmXrpd|Nb|9-)^S%R zEISu$pR%o%H3Ze3&v9@xo@O#B& zZ>%J9Bv-mYX~i9LFRjRE@n-*`PrRZX*wjR5;u_yG_Q0Jf_dzk+Js;R|pRHJC zWlW)wLw2wNUeguW3&(_vh7al++p4$eZRpHK0vY_B#kAO^<8>)xSM|_OKGaVuSnqzY zRZl<=)=Q`KFtUB)b%YCZ2Th2i}`#UyguOm*V$;}N7n$_v-n~Jw8sxcy4tUO3D zN;R~8tlI|83-_b4V2gu_g+25L%F>-08C=n*3qlxIW8q21Eox+S{tpWwr2dUcCd0a; z(WrNCqj;jZ1-fOnkD5KV?Qd~_F_ck0azs)y53^EGbYEJ(v%24fx$(j1(c4qlz{dcv z??6zYw%>KJQ1XT2S~i?C!Co&8XsKZfrW3p|VWF&1WQCTEP3~c>^hl}=1^m-5UdJ)B zSnmj{;i@pi$1MGZ>q-9M3VZs>zQ9SJl<#3)fA{b<2k61`F*(B89Z!b!mg=^nA*?uHxHyyD%CAoHckHq@{xI^u(|mB$D{jv7w_2;NhQ)AO*3hMFA@?l z+x-P_(qK2|K@aRy8Zu1b8?%|yCc3-5TsQ~4F5HG}vySk6bqxRh^UR52BXeRPcbaY3D?S`* zuh5lSyLC_gxNhdEr~&V_CNxKd1(B`HV5hrxP*u5>KQNg7 z7UrhqW`$40sXBU|S|3$MFvO2@a&Sq*OP5UN;Y&IORLghotnO;6>U~CtKJ~(VakEyD@*&oM#H+jl zqcR>9<&+p={vg!+0saywUADq7j_>ygBF-RPPEFSDWahv`h1xTYy<0)jL7?Cg4v6e4UJd#TNbQqv(qz*g@k#yjS|9{YQv6+)2>#o^u0wmBiYSN7CD_no*2 z^~?xs8A_Hcl^?LtVf)IhcS6jr?}1Xr0k19iN#C`ImW*~7N*wuOG38)se_+b7v!=#Z zP~F0F_H8dmJUi-BP8PPtup)m-Wxx# zSk`sqNnFk_bV6PWqtPr}y!+!l1b zZ%;0{Kq}ir(Y>miN4=pIxs%0ie7+@1FNw{FyL*oOAhN$FXTf6aLvqa`%zbtu#-?CS z`ZyoKjuw<2;`)W1IiT+dtH$)WRVZ%eu>r5Ytj!~iyFMVxih#Q=d=2gYMn>ReASuQf0 zbVR#O?YSO3&#@sIU1eS+G=HC-g}giLo&S#EBJ5%US!?gRq(9#HXLk_h( zA}JpEFTEPg%(nEVrQbimV+RWaHO0fWvDO)X7exwi(jT5ZY@#r4?f~36f3=u&sghiy z`Q?CDT7j&(nsKC^V(Fu(iIe%!UpH;1=N_!^phtMk>7sDz^m$&!#dN`(GrLqL#u!m?JqfM<9s+BIROo54ZaCoa;(l8R~U zNnQCUN+5^tFJ0Lu(dF~^1-_{{2)<@#fQW(gqA=X$Qex&ibbc>w4(Hv9J`2Vq4T%fT zw~u#i{s*yHeeB4J3TIRAsOBH=maIAFRA(bHmxEOG@XTd^-_Vs7=v`~`p5p@AgXLkA zKwcRW;8Jt%508-8LD69!&B`opDew7XRYw$4+}yB^ap!r$;D zK(yk=@&vfh-&C;cNBP+Z45Dh9N2*$A-92z#g%FoNzN(LQ^tZrS)Q84v48#p(!iy*Z__lOWB6b7rs zRIfDG4D`^gDv~%zmEVarh~QFRjwMUU*P&>E96D3^R%d=dOdDmvV?K3a270(amoE)4 zXSyT1x%gJVSe5i4IzKs#$s>w$$VW;|R2`K?5{p$iDgQ`Oq-N!I z2noi#nK35VwOvs!CXjtAdAaI3yKpY6Uc924L6OAKLM;of)^9IFYS@B3$TlY$+qGf3 zGg21l6XKA?=Z~V-LI$Noaf48+ab2g8icD=}Up2iMe(7{&-sXersCsb)`Dv-)PNcF= zUx_xX!%f5@jvsQUuZr^Y9KJ(Q+m-%Ahb8M(h33pp7#uTfG$Y@-B0HOIBcwEtdeyer zXnYd6U%zb(pz+5Lz2n43Bo1r*kTvEb33%BxZL$im_Br?B?O;rMl;%Tx%1pw*L;BVg zRp!mJ(BAPuY!}<@IlgHhQ~UmNPU6~Y6p*^;fK|W0mnNeJOK38)4f-eJ@3lKOCkOf0 zKLh9+t|z#;t=pQv7M@q9FhHJ<#1)CjCjxcr;e|P(4+C6NmP5ej0$^|5FDCsg)x@U0h}f|v-A9uJ_3KJ3_Vjsh&5 zPt4e3dE`yS)E1*B`NKj=-oORb;*VpJo%5TjqfObg@CudwE6bBT#mV=*=SO2Db6}ni z<0w?Pk)H!$kz1;nE7*eMWnwcXt>1In2vB& ziVmPvFtVot3ptPSx@}j0%^0!7h)Ao>`o4#cR&P>&u7szTmbfd8n7yEQ!I#j*;?i*W zlJR0(eME9QFION1=J%!!ElBM>c9qBYKp!j|Wr^*k0$IcDvtx(w@=u#Ly;2pgOP_+d zxiCJzbRjTcXLp9Bm9-LZD(UU+C-s`Y{rWkc!!guz9)}0vv9F(iUW8A6M$O~-&0<8T z?(JM_t5}Tl^A~y2awX!{)0_49x+*I-OnGFr?)lkpkKZk8azw>B99tNWSZx(wY^Ie% zd>|i`z8F4|YKV~vY=ToZ9ay=`%N7~wBb}=e3R6b;=Ei+w?hk1Q%vGE+b2Cs7ZRonZ>w3fL_c_5w8{Y!GiUI>Sf955K_E;Xry{<$sVDSFYQqiO^ z4<}tqe8=q+T?PeEK+iO=#VZxm16)Cp$0PMw-4WaQCy1CuTT_{M8EFo91BxTHkE9cHnupC?*R; z_D!CetW<9;Hb?Z}*{u@Ku=`s1uL^4S&9hQX`L-v&CH+#Hgm3HlAo~iC3 ziXPeOQ>FswuB~jzX)ADM$;w+$`r|z|S%L$!ty6Et{&9ET++ko>U@@|w`+5Hfm0^P1 z70)5hhASbWr_LbZp^OPOaC&IF2S1n)dgC;HaaV({@2XaMvYK(M*T+_H#uZl6CzzMm z5+MZ%>*x({&N>(QQz~w@Gy92d3x}VUvhzzy)gyKLGcIF~4t$S)F*;b-lUV0NkmGnC zKlQ=ZF03WI4TG|n_>AEr#Y0r{7BJgjSx}UCZ|an>*Eg|b*=d?w{Dtmat6eWvyo4n%1IT>H6Vxn?olxU?7_ZOrb9-)?BW+DrjKh+gYHrB9j*?1%cKnl>dx~F zr(*{f9A~B0a1eU!Js0>9Hq!THPG_#M2V|F0M3|zx;``1?OCKI=-`a6<%d2pHi4<&Z zq;m)lfcf4eVBQ6|R|szGUHg(L5sUsHqrNhQ*;0qjSpaSvZbe)w7H#C&ji@E%e{c|r znAZ55Pzd;Bh4yzK9gbOB=HG2tJ#V~n>ZI}pueUJVTJwAT+T+-DTOJj>Vw1{!J6X58 zG;c#eYQ=pYV9$QazlDytQAu*vlI@@4~g z;j_d)q9$W_qpwr~oexv~XtpLm(rbwR+bAtKorPPp-~jy9;KNT-u? z54p>m%o+9TLD6Wj1O{FlzLVItlC%G1%T8=f;iXige*?sO_mOK{oKOlFhQ?gJ=8VS zU`NeOG=)xBt$un^-f)*9z@&@!ScC%23%C|8)*11M5|8C-tAP2;qJ7~jhurd&qKmh) zGv1B`tkz(=1ivBQSy_Y*t#QqVH31;v_x^6;Z*v!l%=I{^Xr%crHz!C-}jl^#818(+LQl(T%UpNHfMX+>2!uA1r3__1+$zbRCX%?lT`>67^=UU9Xn&J;7e%!UhcT2J?N6@_&nb3L1bn-VzQ z(P~bSz!pKlzQeb2HcU*os-lXQpE0R;oy96nSkZ~$Jo~2dl#fSyQVeVVO3^H|;kRZI z-_cvwcnX)b_#<5En85x*h)m#5-RIB+WR+4k(JsJ(@V=i}fC?Ie>NigJwIbUE;iO?6X7X4P{qUOb`x}OpvkfHfJ)ZnE?9hs zSo-0jyy)Bo!%u4s=(QZ=nC+Vn1jCEo|xjc1+TLApyYX;3v9zWV~54Fuw%%b#wgAF?|Hfs)rGImOfzp6iq)evhIKZ%A%OcpnpNzsWb zz>>phz#HVBaMVcCa=?o;`1J-Ws?r3w5-*y``GYM<80CaCo78_n*8{9@jva;i^Q zOr85G1ni40Y0Kfa8gc2W-S7rK#S?_8_BWLqN9daoo4>u`C!g6$V<8++=ukfv3;C5z z^0zVhsOk)1mDb-qJHN`RIL;MdTpp;c-WC_-_XICKKpjW^V^9~f9N*k{;hw-|RLV|D zN&SmJV^UHeZJc10J>O5F>bzeG=Q?%iWQ)pN*@TqgOLfu-$h~LP?F!m}mZLz1UDjeL+IAk+cSTnqL zBKIAIxl^$-$Kx^`cYsmaVRCEr6`AcdCmbmQF&+mG;akq7XaI{U%GLfzmOaClivIB39>DKw+SZfNKe{LVg!7s%v?ngt2af%*%2XYZ4(>lw2Df?jQ zsnQhBz{FtE(u<1h4J8TDH@}-iDXWkMZ^JM>b4{ww#V5R*7%W^II|TxjXOg*I(-Af<=%G zVR!uFVE6O=4}0Zzf~8A8K{f}O4RUa=aIo$`K5T>6}03N?{YMow$c@Vemq%n^39uP8g(ZSM1X62S{J+-b|*J%aY z6Lff6f~dFgcNY&I4Fe3LA09o*xPtU;a+XYl3hi6BW})p9Rfxtrz{#2JD|YJiD`fDu zG3@_%INf-%GeY)ZIJbw@AJgk;@|^2*)yIn)s`I{f%NI9AnlCrjE<67xTfP+ak9x>2 zl)cdV(#6KO-rS_yq5_j2jNQi*h)A^B!^)Uyt>m)nn!IPgTh- zr|J!rmQwhT3Zc?OA0}o14z!sc3JVpp5f>aNPlI>q-NN_Fv6Nz@YAX-G>NYVJkM3>A z?D2OOWp%6!_S_zN69O*1yVJ{wLlF(7La(^!GLmTe0>R4*Z;Oo&zw=dE*{yyZ7@mWC zTX5UIP@e86@p#p?bP`xS{!F_Chmv;KG5HMJrpj&kE#K3Hs!6Fi3(`eH6KGp8cOGSY ze%-)LzOAu7Ss-xqwjVkhWT2MK<=#*|dlwTZE8--$mdi&xzucC5<>~gk7sF${m+OCa zWuigbXUmA-{YS@3&Z%pEDv}*dp~-CMN0(ydll8ZBSi6d+OsG zWiwA+|5aXI{$M^gIT6}1g+&Io#fTZHl;2t^T9kwiX#14qly)o%)kQO{N0}nT29*I7 zE#63_pj+HqmE;aYKF`$J!OaO&t<7W;P4oFY_e7nnH-5X@hdHv<-vI?X3_5eP<595) zaZ_qcs^L-#uT|OEf#{y9O-zs}7E<$nZNYO{{qI`_;P7!RZOzJ-4n&l=IMsk_;WaDU zW_%GI4r1}@9-db~nzYWOjRHl9>8X?ypk95jb-lO1yHzzda{45XxG|?m%|5Bdi=(6w zVnV7R&l}N>O)m%W{yBFtenpo`ZZDC}rRF1Bq|EZFw)$ozy~7Btz0YE;#vtMzeLyQ+ z2~VYf1H$87Npd&3V4x7Uu)3!nM|N_P?RBBDB4jQ|eaSx7dixH${JyUUo+TBj-fi3e z6xkv1o&gmX`~kJ|&w1*KaNYSTkD9%<0nB-cbo#6Vh$3z9=E~T zwL1qa`dG>&&7SZXb`9%YEVM@Q!wwwjvzdrR3Y)sl^X)k4f>%KJ#16L=`wHf?72QkM zzXP9HzqR*_^gn9^dC51m3z(bv8fG}ra$^^? zYsHbU{t|@0Q1TTv{Y^rRotQ4X>yY)o*tKw*^PiH5{4?uMZwzA%pSLcrtoKvfcQnig zSlQLRec<@Z1QT;!1--~`BkArzf8MQJAR9IPpIP^d>nNDr&hQJqu?C{H8Ok1i^7fJ& zNdLrHbM2OU#|3vTQ9&i`ydQi)An(zS`j{zlH%&I9+``?re+R@T$Z#!)sJs{fUYYf= zS7(HkuMGx(H`kJ>FZa!DPp0;Uw+V*#QTUfb$NxvXQ0Mo+t{u8DERTe|d8p7&1`fqa zKR)YaK_IV`_mHpg!T-GyYxFnyDNJ0_33JLTkH6jI?RK>Y=PDr zkUu`}1=!Gq-CD8P#y9fpFF9b>zYWWPrU7UC>)V~@ogZYoxD66M

N|*9I6Anj^9lgS$`bT9 z{SeGNztn5SNgK+REnZ|1R?Q4R&o3k{6$Y6%ubN3Besg5@V$$CB@P&a1cq3x?T>f~> z(T7EI;HQgsYd%IBI*s{^ARnOb`E=^O1NdhS_{=-ZB+rXP^v6cqo_WuZMnLuX|LxuX zC)TmQVP~zi=289&q^*s1nEcF}Nd?v<)Sv3^ zVjOVuyXTVkARoCg*w8>`3}q4#vYE0q?pXkh!3>_xI2ZUJf$Uf?t%2dUg6y=vLj1Yn zvqHo2vhWFD_MwO0u(|kZ#D~i4DUL{b>>oC$jPz>^&fOfShjhI~E<3ns7Gr56)}d;? z?LlP5k1B0BkzY!Y3$apB@|HUS(7L(Xw)Ti;@lfg6{9-2~-+N-HFjg10GQM-F<_v55m6L1yd5&N1a3NZG$o$9hl$Te(h!zN9o4K#z zv^lqra7HGQ?=~oCTEwlGV1&#Dq&cv-qBO9)J7dyWu9eY?!lp5bVt0bh=2IN(tHV3}U zmae?3iNVXiL#hv@)g*KR&(t+kp`lNmRqD95Zi{+MTkh0xO;vzQA(T1gvwugD!kF z^rNk)uXFQNo#SX=^D{or*R}^!V*$%Df!C4NL@(^fdoquYTHmd;g_CiEH^QOA zPZE20H}(+H`KOzo{m>(OzY@1pe7HT&7|nYee3QV)i|>f8yIvXt-F*K(_$5B;riHHw z3@Bf^LeZY~BS_^-{kwqYZBTG_XKAg|{APpC43Bd6g#hOEBB-w8bj&5*Csx236mB3K zkrc&k%bgD~TwC!D2v*+AdxX*!!V%{85kR>+04&^nwi3rbEg3(VV|P?+Edr*2$&qP| zGm^TQM6zx#QQfJw^NGgIplgw)k*#}vgnG2wgm}h%x`p%ZmHMRZ_Vv0)B2)Z_oi(l5 zjdliGs@%ajt`ce36U+hYR0*!*;aV~@$Gwvp+3tVpgR9PG=8U52>?;=GnH+o651XDyWQbpd&taJ^A>}CjsU8=}%)>p(Y{Z zIO_)5ccyDWC3xR5p3s*1+-PjencH@<#7_I2G%er_U{JY_~~@+clc zT#;%(ws2aMQytvrQ#y`zJ&J}9KkPtIrcyb1gHb5>|A&g5ZA$riwKQ5Bl$wuefi){N z9aP@{7HmqZTUVRG*a36!vjxG$TEGFH^Sc3J{8ExV_$INdIm_bNX}^pt*#E_ zo{7tAiRH2=tHwHVSD~gZm4eN7#0?g^bm$Yaduagpq^4wff02E&V};je>geuogCJs_F$Wu>2PD)*wp$~lhhEZ6YU9cN->PD zTbiL-DfQV&+uk>KXJxE#!Q1abAzu|!pvC*37|nNX#On$nIbq;_LH#Hy(AD>>bKSBz zZ|}&fuer6+M1~j*Gnn+GK-9#!iscsVI)I!T%A25VLUn|+#N)v0r&~1BgCJ&qGL6Wb zP6hPx?gRt5zX##wtAZ%Kr%8gPe>A_jGc}G48GAZ;HRkY|ys)Fdw>DMrvm^H&-nXtQ zfTj2(|NLTM`r=rDNubQ;sTO943Wtqai>|+`JQ^g-!Ec3m00LNq-9LN)-n*k1Eoiz+ zT?}epBF}sUoX7lqF8{Sye=oSU+qphtBm@_~Q}zj09GvwywodJXolF2U%fjorRzs8; z8-lN@Euc>rTU%Fg{K#7A1c6bH_I~vTl<|#zv!a{R`-#aLU_+$uILWzCH$3prAWDTU zo?DQY>?*}P?SGJ%Q){n$NcyFMwQ_d{z<9~KUM?tc6WmB%kmxpAifb#W#fMBw?j-i9 z3g0V{Aa(G<5(;D2?xn#69~{&^DcNTF7Y6|ho3~)ptAVln+a^}7 za~k>vp)R>q183yj2=nv`;qNi^x+{M*;A$a*wW_UwKkPXdOrnGc`JdhUK%RUJrqZWk zF@~rpFSZQDDG{7`+}nV&z*hQLss3dB#6)`CY|XyS{vU*?+h%lvzWt`=IJ5B>k58x& zsXYC3^H6P51C}o~H66qPwb+4hoi;o89PL5V8Z|=`?$9{z;zbs zbr($s_icz!e_!$HmNx0u0ZQ9(Wfm+;+V|z{7n-X8*;N4fuPI9S&54+%L;#~scBgy) zPHMYdSbe_}3$x)g80oiZ6;3pNiN3XZ(Z}3 zw@FtWz&EpcOjZHzZ>E4OzfqBNB0y6FBQ9BXx6ZtHEzDTOsRpBSV#!rd5!r5g?n0of zRJ&5?LW?1%UfpLS(=!8=dq|Tv?XZh~%?VSU$Kv~UTH;@AAUo=bOZ%U1wV(v=aXK|7 z>XX<-Nvn^z21T*uTixDV`l$ZMY9Jy2TfMsWCf~WUdV7u#tRBENs#iYi_%mDygB^~Ynh36F&%Q5*;v{wxri2Ax^T6MsL!Q4mpz`iqAf2zm+7DeWoa*yI%hB&OL#wVju5Q5+kFqPcpt6!8M4}|&9L-wpPpN|zccUCrLA!V z?xIcgec?jCOQxs0vZDKo94RW%vi^p%B~U-#Yh9d|@neJDTq3mL9i7lsy`5NBK zN9HY!MPlSN_CnW@NEN_(FxZ)=C>NIT^&UKPm&AkBM9A-HiJ!HK7ZR=Wm%UQu$q$HV9aD~im<)VSlK=@02UN)0FT_Nps z>x}e!wJl($X82w%am~TYGg|gYDsR}2m`qJ!2CFwHK;BcI=o-@{zl1IB7vbvkN$h`G zCqTuNaPwaDba;iJQBzRs6njeaZsAt(T9`XgYNP$Hk*P|7eq3y~IGkLNl(t3sAQ*pN zwvPlhDxDCbcA=^DhqLqNnu@o3ce${hJX9UjhgAaUh5j#`lLt+V-p%o!Y%oLVusRP* z%lOAtJD>3(x@9V(m99csGlnL5GWaJUGcmS+BcECz;GQ6bEA92L%hMZoV=)sGWgmA| z;~F^f7Ya;@+mN5TT2uB%j@TNx8Cfs58oqLw0wIB|5@gJP7pnTaAJb%;Y>FK%k)kl) z8lAhT+qu3k2pSmBADcdrzbnD!Hdq3EaLZ%s^Z^Dtmzjgi zDAaM|Y8ak>XDNJuHT}xJxjn0Q?cgh69-weE+Q~;yJsJ-ucmEkqGFzKG7@ul}IWGE# zp-QFd2KO>O7oNq@!JXtJk0GuC<-^@m>-}`;!@!gYTFR9k9bNCuBTlH0fLfot;@hMY z5i?iPA_VqPpsz=_Qqu;mx+r!Ytgpq(<<)sF&Q1)o5G+Gb>_~;Wtv5<>jc%%RTJ?yMtIkduu490 zS9iK~wX)!93-&L|r5T`?nxo=?xt|U9-QwlCoEl;!#Me^_?bKMyffW~p1*qpPW-7x11e_~o7-u^PizdDMFg`GKZ`XR$eRkrO3tewGdJl!qRU6l~wr zdXhv2$75p@YKKRD)2@EVyIR8q8Z~z{ma?Y5NAn6TV=QS`iOF#v6_bVlq@h1814XEj z(izv`D$TD4`2$3Mb`VcFmo)k-uni-uL@{y%>4B1a9;^bZ&^lmX8ISCl^4t%>d5qe|Ncb1Y7QgOCOx|)^`SY z3nS$*NsPD#eZBTsv!H#TOZvD!5D-`N9a7CAERe15y_Clhc6OV!vKL!wE zXxdWDY^!y(?=#d)%n^i$FIr!$7?32Zh>4BPNf#2hL?ucoks?@apF-N=CdsAHCY! zvFA`2e(n!p>^int@WrNIbY|ixc_*7*uei9fvTb<}`%`l8SupG`)L49Z4I-lAkUwz(! zJ=K^P8%ll zQq*?C4z3i&^SiS7i}oc6p#?heH-M#d_OUGcojfBUaU~1Y!I}1_|GBMI{1`FUcf1gD z8u0p%4P4+K4QibluEXAXn0N?~HQI#TSq#>mN8b*qY|zDjyTrLJBXAnq9MS`X=xX5t zo8Q_UzOxRY2=E%&8#Y0OUR`tXbPO~lzd~G07~|_PK~~ll+OL~ySBLH0c;9euQM+M4`VM`sPvPhT&f zhSn@O1drL!4H9^qEm3+;Weeoe`!2H(x(q`;FVTJh=GaYf)-{u#rewS~t<+q1Xr*Xg zOksmz@20(jS}Ry<6_j)uGn2XY^pyilB(`on|rE06=^b;EFTS*gv-KiKDiGa<;4 zUGB)(^5CQJzH3Z{kLDJ0zKB|a{j*W~kszRM`;tgqj%Fb7h?&tnhQ>A`^NdxX(k>*n zt!(zvn^AwiSRct@<4{=RWb%O}RQ_;%t!tSDm0NH50Me(jV{X|W2k#uUyt!?>c)xS3 zI9|MKv*NmPTC(C1x%M_t-`7MTynGHS17#o9adO=nMxHBnGa6Q?+?BJc(E>KcIxIT@ zw!V7GiPzT%YaBPA{74XQSMHt*o^!uO`EKHhyZ#e`lTcm^-4-tNw6u&*ta@Gpo-@f} zCS)<*b&BiKY@3C7f%~Q+`rn13s|2fe-xFnksRe4Ns9>?eyxMoqU5(NzAh+Y7zwHvf z7(voM$}3s_)VdS%_6=h6$RKzw)d3qqXdB)a1N1#cdim(^x@luqI72kH{(HIm>a)(% z=nsSEA%GnE{4Sf2rVDd0qBIHB7alH+E#2JEpAy!qRUcoOW97ypT`((4=d-_hC9USG zW-}u-S&AFDv&oU8cS3c;u#>&BCd_MO7)1Hu`1)^gSi=^-iunK`B=Puh2g6M6c++wo zqcpc}ZP=vnvUi;cC)3^enhn6A6S2P!pLmQk-vvQehId(dNj?$1dEN7EdsYo6hfFId zayL6Qy|_xSO9;Uzdlg=xUZIpOd7=O;nrXOHp|zBad%;Zcos(`Vl>`9Hc(sws^X&2s|Q> z&jrW-iz~Sce?jr4oqr0NXP3sNvv+MH^hJj{z6*nw-8ld{L8tnSel;bzvmT%||IWuo zJ3Gtr1*sgnvNFEpz_hGsa><#WoNU|$bRPYYH$OYrrU{o>wahY^5l|k z)xVQ7I*bTd6+Ao+4-&`ie%}@pgy!`B;OaYfB;yz1)m2+4ehXEyd&k=BE}P}PbZ)E{ z#@Q2x*|*{AWJmUN9LtgJ_$ioN&*V;tYWexytG<@&ONP0DXpLp5Qo{GypPNvldb?-$gexdD(a2WiAJ{ZBQ-qUa=nlyV7 zR5qi)LK%Zk^9w$3X3V05SSJHGs@H zp7ti=>MT|OiF*g0!m29vs_T{m(eT#M0n26AYuLfrY>qklNX$$ci9N4hc6(@G{2_>}UO9B|B)O8m$Tq^MC~ z==sP$S!RV$e2h<+!)DtA6YC<3bEl);aYy|N);l4Xzw`}w|2W<-^W8=uk>wsnV>8hU{J}4(Gm{k;7?<|V zUB?|*5&7}Uj)*kZ1HU>aEa9@A+=|~-$VqPZ>$rS2tnO@(Hig{>0na@>vJvjFb}^Go zNUTN9XU=-?*SN%rUy-ie-)^hWwNN)8(n@b!DO3vtXCuaQ3Xm^zPggD~0>jF>eNM6I z2x@@klCR-bYgbvsc&rh&67J9wz1GbZ1tT)_lS-zPzJu{6yGUUhn&=4qSwi{qqh^sC|vpM~@2 zL_fb~^sFLtZR$S4lh7J3{rqs_T|oD%FcNFpTN=CCD#u?q(e$)bt%@mI3V3Hx>WXVe?!{A zkfA%fFO}xD;yU+uJX=o)1)yYy*BZwso`<*JKIsJSsRycOCfCt#wi2`CTe3z^+Gh3I z*+5Gc2aB_$pNH&Vd|X#oI+F=G<=W>FGoKJDardqMQh4VI!uyAM&D3=c#FrgTWi7uY zCLjrxYwg5C-tgYva!3YNg&iquwFH8-+g37C-(I@~GNbMYpnqe#gDmyMb-5R5Y)!z^VUUwSA%;n==*PrshT=OAS(a0DkZb|o2?1@lglo%CADxyQTM zeceB}dgxy9#pjvjd$STO^yc)=+d^>Op{Ybr5ng*ZJ4{G^qhZ+lB6?XYM3m?oTX13} z5JK%V46(egE^LXd@*-v4ibccRRL`gii4#HRcYppi1$c#ESn2WFDYN#y^?t{_@=#C4 zk0x9U&!<3{Z!@i$k2YXSi)V%o$CL1)Nw!^D3ye-u>`-buACVStogn4MoAcSg2GZp% zpoT&3*7?lP);W-VP4J!HhJcYmGo3yGmGAJzE4`(tN7<2Sh3<;3UQ?^K^DF4iwXLtR zR3F?J$O=WMVfgbF<2D^Sbm)h5Tz=SvC$4u_49r@nKaDroA=yw|DgGc* z{{lQwzy*VA>&p7)mprlziu!M}Ruhg60grBF)R0q4*6DGwBHeCB8%2P)AQFD>6TBKVP~1-x0Ut8~xeRGSRB{?53Doo}6C9AQ0 z`J`nk(fuKvoTu?~YKdi+OI|*$G3i9L+g@gpj*cF1!R%}lJW#$x9<*%7hrAO%3U0&< z#U=+XUg5sWiO;ew-eU#WSl`CP4Jd*bss)ZTzFT~kN8y8od8#u5lgTmV%Rb`0^fE>K zt>dn**aFxK;3NM&z7X>(R;Q!-yyouZLt9(0^w+h08w?A?c68EEj+i3_WN z&yJI?bUrV%p~&W3{xZI~KI|Kv8dc-Vw3Hs3^MqJ{tExPFvu@uSgf!F8qWZm{#j@Oa zx{p47-oyF;4si-JA)2{C9cOzV^fUF8<*k0b*`*6mV0&}DD_4)9oorE~e*4qzM#`iwD5B6-U3qyzP3?h{uPnZgP@2m_a%6Bn^wa$e+Q;_R?i$UaXnR|pHT$&x%zF*-8Sy6 z2F0LoYUWDY!WJrTRv(QuRE@_7OT55y!1Wh3OoxN&`U1bjkPd@5mND`c=seO(oBh&) zZ3tD394p+QWPWKFeT1g&Dbvw&Cl@QT(mLEDiK(A28AdVamLf6~MAE|MR7pZEH_Te?KRyefCnhe&w2wwTx~r_vHo> z*ZeCEVr`Luq8ytrwe`B8>xescbPy3Z+EjK8SW{4X+}^a>9f)2W!oExH{yOIJe;SWB z)Y_4aPcnrPQ=rv+;>PP#p088K#$Wl0tRDf;K)fpn*BKa18t4wkSRkfLo~SbYrT2{U z>Htk2l=obdy;N2?u+;Yy+|stmw2hVgR-wZKVR$eP$+29JX9li^B79|*0OXgL3v)XLygj+WgPOOc168NU3Li?Y&k6!-3Nl=+fZ;jUwu z#*cVu?>Paq!{8bf5BtPm0@aDkRqXFKOOcJcw7}xIaS5tij(C z*MsHGXMJIU z`@%g&dZ@xG)6B=jjourF))RBjI(v;qo_v{{qJ)4n?HHdqH#+OvBIqyn zD}%~uSJ@ZQl>vQ}wi%P8$7{FsK|g7E%xdoz&oJ?jliI&H4N)&zn9LIG7)%sw-@0U_-9x<_ZN#_2li3pg{IpLExo%VoSol4Hk~^$ zAucXX^Ed}hE2>T#F-1o$nfjhmB0Hq>~~HEY)2`qu)d(Vqb*%vtKFo#=TUV7|9f+WIFc zjMS9)fbSNc=`3^FzRfueG zOkqUJSnEGm#XB^Nvkk}1SxduVJanCfej%%{IlgI;K1D(}+;OO)f&>$lOq1ky@@7S5DO7^Sh z*PF`nYI8|xdjxXm?@5$dp96UY(PDw9rVif-%_LJasK`Node`^%uDJKR@;ENOLl10~ zujM%=-H<)e6kJB*ppX}}n!B(_4+{7E&7P^cBVjBTd-@S??T3MKb66EwOwaSw4R?EI zbXUa^t{*$mJW0a0DkYXiPNZfxKTX(fb#0x~^m6u))&LB3)OdxBP|BxPGVz0- znsk|av6vmPrt-bu6V~gjw=~SiuufyQvT)aRLiCA0J>Q9uOxg3BHGVxb)mc2Yzk6r0 z0cER~xD_ov_1DK<7h1<-hHQjadzR^rkQ|=1AR7G^Ybpz*cbC7Y>DwcGbJE=vsePJd zrl#HP<0sTRbb@SG)}IuXU3eXi2Q9iZ8-acq`Kc6#<-UuN^Rr$AMUf~WJ3rH;oTUri zn5L(%)>L==+4)kvqqvieR)ERk&t0=#@g@YCvL?>iPO-l?0@PErt$ApBECu(X!)iAc zFFaQr`;K4Tbg3Mr{dE7jW0A268d2alN~W3x<{qBUkacIc-0R_rC^*Lnb@>t~bhh_U zGrPHL`AYnq<90-U@!X7ChM${is(wHrG63_m)$LeYceY`p{-7JiKdk$cVvOodLBRUu zdLALd#}2EUsCyv`Yb{q~9dRwe{1?tg%ZwWU>wSNs}Z)5*mv#}JpwvDHn+ z>(bFr3eI1T!=;})p!E0FBxQeWlRS;({AlQ{&s=y1soE#K+-)tBp04O&@Q!1ZLno#o z*AJV_J97ds5fK%^A=Z|n#4i+YUCraQw7X~hD-Bnxp%9<(Jo z|F%fmLqIGMsvoRRCmpnOug(P*4VEfC+8cgK_s_A4WiuUU$rmrF$bEQ6#qJIaKJtP} zz}PH*1o9!?U1_u0;_|ozGX2Z99^Q3NIzXI3{+OZPQ3w~$`*t$=Gx>&DM_81YowWYH zLP{elT8vDh|J~2y8Q$0Fz2uHQ zf4oW1*>62&cE^tL}dId8rwjME-W37X`0bHoaL>0u;nQOJypB2c zbH*Q3!xzNXC;Sd1{&OgP)&+FcYfjoyVfZ-p1;%}!EnWIR&m9Zd-y~Eig=s9Cq>>A5 z@vv4F+VL&lG3(8PmbY6XUW#CW$~}!UqAO63;w18XQD|#%afwCLIo{EE2&51jqBRTN z`0^^jygM@MJs)Sd_#Mw2yXodPjSc8>DslxI@jS3j5t+v`$&Gy=3Dzu@_(3 z`ujBS&)Qvmi#Ry@Xro3T`Y2O^qbTMwIlAvE8LZ7Zn%D4kdl`ei)dv3JIqj0@H6hC* zRbGk0J?e;md#`0K0qP?5VvbkgzCgIv?5llq5L0WDbzTYrrhNs|?t>-G zJ+_yZuHJ|sNUrTG6T8rLEg;^ROl3(}SZx3M^GNlv;I@)F$;@b2-yFazER6Lp*a;aB z3ODYg1?s4z(gJ&6IH)yumk#%NBSg30`BXm&OS5%4pyW_SZwt7u^{yTr?PH?a*y*uszA}WWJc*j=evYXHqNO|v= zDf8jIr%%*S?(i#BWy|(cA2fc^!eMJ{S0~C9Y3Rx8IA)=0Iahuy`^Y_g<^lLdoFK#OKzZ>gQ+-IYx~H=jD@(#jU-j~>7cU!^Ly zZuEY(NskkK&v}yJtNGJDRkOs5Fi?Sb;;o9d#p9z8?h5{j^wSi1SnI(M;eYe;hQ1eQ z!9mxcZ)!RpQARrCfS2{8f?W5`M%ciBVDvub(j3X?xXx$!Hx=Z$88}ra>7|mMiv(oV zhk(YhR2ur$k)pm`tRTlVZd|8n-@dHXo^jvcRQik{Gc21P{1$s{rpzPW7oS+UTQoG{oTUVL_ImR-DnW~TpzvrL>zJiQ+h_Y!b)NNlzN1i0 zG0We}j>UrI*%fC@lBX27#^TMsF3~r;0W{#vFxLPD0uzY8s{fo203lOno18thIgDr1=h#DPSinT_P)|54{6py8u?exfMq1 zsvZ9ksYEclgBX~}xc-F`o zdMv^GJ?PPCvcBa*z%jSLwHWiAhI5Tr4t~ zM~+aW+`Zp;B%t;ro-eL*N-_vLHze4op??uCVbiXMJ7D@0I5He{+BJuTbB^LswbiZC z_I)xc*iIeqTbfc?y#A1Y z3s$^&3jB9tHSTB7l>Cb5_93^nX^AT3M-aVdA~0(VTu8<0rm|{XYgp^q##Y(`3hH(_ z%`bSM_Vh+>e#D%GCBy#!`VI6L!zyd1M=3{v1tGV|T zm_a%{og-#$Sx8RB=Zo>aXJcl5u@yy&i)6vmGl5B`V&2URIswCiUWHgZ#=##LDQkJL zmuB~D!_P3Ho*mArM80%Z?mjn_p%+<%K?q$fpKR_SSpKubpCPncvOgAhw-|@=rR(}# z&Xv2Q)6cT{l2bGOM^yCDVw00D__lQXohjZQVoN?6wC+g@Fay!emj&YI@yzw743i(UWAIl0Zs#`eei zX!wqj?39PLsh3L3;`ON>2mCU(he zhEpo!9wdzgA+2o_l*l3I>=~3`oLBfjk%~6s>x1f%KpUN_1#j5a8O#SrjI);f&|?K* zAqqw|6AAUL3bK5Xlr4oLoa!Ei@w681AK607vB0q{>7GIlBIPc!;#5yUh2w5|zN?Ud zu6L&Fu_v+3fJc3Sd;}1=)ZL6p+)d(! z6`u8Q{ouB3$JGIw%(nRg%V4%P6xnJq6s_Vd*cPVC05agd^`@xjCYtcsKpT30<%ZAh zOyJrz0_uMNfw>4qxYbsn&dm>-)dic=wlWF7crf3W+xIqwc$y3m@QiWyYt3R0q7hh4 z|MMX`GGMd-5XH!>x8#40+n~Jigvi0G&yeQTswUje%#Ex21q2AcE)EqEou%<6pn6#c zXAbU2d^GFTn3diY*Pfr}3ZD7NwOHK8mV&oZ6bX2CE9LRl=`~wuiE^inZ4v6?^_;wm z+w-vE6W-kObjeoZj4M@(_wD()0KLC+W)~YeQU0w7{sq^k16=LyVQ@Oo`{ zk$u0~>A>7>MOH`lkN|#DQvE@{28z3u95v2kyaXKYW9cKilOZ-s8%r~hE z&FKA*3x5@l54yd;y#-Zgi3$cHI4H|4;bz(s;hZfp6WKbIGcShVm!zjjX5Ah6>EIo* zxxD~5M={L~hUxr^#Z_zX;1kj-w2y2ZKUCXuJ}OaG`{7q>-HR@4XE%~!)!b9d0e|Ha z9$NuNz97l2H>~{>5v$*`+0|zOY=2{$9m2!?{%rBNr|+HX)(o*?Ww$}qJ75@ZL*?Br zD2~5`j@&Ou-RBdh@U92mJWI^yp9p5lP}#aCYugHfW?#C4YVEdR2CzkEJp{csnz7FX zxEN4io%P~NQx*OuY`zP|d_G*i655M$?ry<T%e(eb>aP?f zh2Y_sZ#y-YG*wZYPoVYGky zY_DE9^X|N`QrwPQ>&8k)`pSWh1thD9KoUNS1!vCe2H@W5eP+EOJ;CYoVGintj@st- ztm+iiYH93^f=q20RP4^^rm`agXFua9I6r30oIEil&uH(FxNnp(=3j0)^WmzF_Fw>U zYGN32Dki<_ByF3&3Eb@uSn?Jh)6fDxz-R8Q-qSmHJj9`9QwjYo&~P_rj%62`tq&}Q zt)Q>4k5L3Q`Zh`D2jpa(*yy^eG2ULd;FZ<)wfREt>9%FmtF_-E95^3Q-tTGgQ3jHF zy3hf2dGaKpcwo3=E2!YG1*x%LeggdqIAiz`ZS{drAv+ZzMHNM4jL@X5D?{mB_zJdH z$|9gHOXts` z-&HT2*>XEC8X}zv+zpa!_XNM>GCNsYsG=(raUu&6D%%U`Nm5z6o*cP!^!E7vapB2| zDt!`(rXH}f)#xxweFuoMXKdU30dsGo!AD3dGOqgMhXgAVS1-`08f+crhMd@ustaGj zTrxXH(Br)$~wL%23LESV>~>_@Z0D+ z5M%B=0G%HdtGf$9#Np?`zX${cy_vRbW3OVG!f-!RjqQP5#r2HszqYSZucu7Atx`AD zKWkioG;U>%)kIep(|{5LM$YAi3um@nTfg)4C?Ja~DV4qL;1C&Ucjv3p#*$hEii_l~ zB=pCr;HT%{s$Haaqk%X-*2Oc$Xxu5+SKLxHGqoC~Jp%dS zVF%a8_VCo3vx@YVT((s5V@5F*2ts5Ya7k<7!BiS_tgdS;`(M03&*|9_k5yUhbt^!c z4}X5C@(AL+vyNT`>U*Cglk99WB8(0NRvBfvrb-TP{ia=3kEiG0)rmZ-ran8X%vnw8 z`9=b=t{HE?ne7>-_*%zW%6FsBJRx7ZMx@?FOo{5TA62*Fou#vLHn_!|_>uR)VJec! zV!(Z!cONHp-o(3h-Gj}sD|3T0hMwvZ%_r=$GS1Qs&ZLr2gr1NliDQ1jfC>}M&! zp#f>@233-wn(2Mq`l2VKZUxk&u-H~gR%)lkFCT_yb0_lrn_nk^Hgy~S_N&Li>orXP zYGM^cF(=IS8@`>|>tEOVp>0wasCq6~@vNu`gVXkf`Py7a;4Xu)%EnNk1|S?d$C0%2 zEGhWyR9LJkq-wSMKCiOxL5Y?Y)cbfiCMjy>N#>{U1u3{A2>~%AkY##PM_`QTHnc;k z_9iYltnRa|vnQ&11_2kJ>`6}RK3uI<-YvnfNQB3MMZJ0NGvn`MuU{fDOqKs3G^^L9 zk6ZY?sYMT*pw9VQJ7{Z>F}n#J-b=IA-dne|s-e7651)FzR^-)~c|fJwR}{4_=m^o& z0s8`-*R0r_!i`%LCWP~mm&&~ntnSYU!mawdDl03pesjmGsvb(tL2rg^7Sy=T6uE(G zk2TES9{`KD!@DHagq%WZ0zAy0sru^ShfA}ayvo$0d?)B}Bv2ggT^9P{{m(lSA5igZ zWM{bBdirWx=`V_z9VzYCQb#h=q=A}XVYj+JGJD*_GjIN-J1RUi+}xi`t+ew6JJi9`q!E7AH{6x-ik79 zGJA1OK9SRQShv2*|QohVlo{j37QpVsYJB?k z3|H_h)I?&b+ydAR;0ym*X%mb3^u+%53qmgzuD}l3I#M^5Xt9?D{I>YC=_+g02xq$5 zz@}gwQ+XbsE{(KFX3>l_zqWQ=qQY0i0Dl-GYjYwpK=T{qV5_sPh8juJdMa!qVWITR0w!( zX%ah}kXwj`GbmEcPy=6E22MOHMUBg`LTo6rH7~4WI;X&%^G%u3y>Vo~UA?d?s%Iw& zrz{9jiO#}()nB-Z9mukS$X+!V*0#DgJ8cg#P5Hs%nO%KUz%Dz_`A#)cb=>i#t0%c3 zFYB4qYqxF52<0e!o1Ke@qPWnLL$_${rs`kQ7Og>7(&VPjaFXCR7hC9k%5IJ~1~mz; znuO|6b?2ZxTLdfq!{w;7+FU{lxq(;~y#AbP`P6JDvdwYLI3!AB?`dwRMlmQT={!|Y z&aezTIm1Wrdc$}uxO>}i?@w>V?cb?Hge?Ll7Tru2=YBP){u2h>ZLc`U-)yZe1y|ar z{^Wvla}1BIE3Bm{=aq;%f9ZKaV8bw1cl$}j*zxq1u>`6TA36S_du3Ea}~OxZ^H%C7DPP&rsVXL5`33i zU|gevty6)ohiA`K8`u6ONQt~P;YPM?2hS$4>sRPis`rm(Y2-$AnA8`R5ib(9-Ezw+ zcnT!=1gAaoGo>w$uO}1Hr><~PG{w+F{eI__I)75NRU_&xP4*WxNVPAoZ61rkKC~zw z+7xSsn|n#O8y>zqIe;4)JY~np=B4W1|ClPW%Tr72P;>S+phWRW@RP&dtjrEB=0=?+ zqT!%u#X&D~ci+%wC4$)x0ED~#ZHt#v)}{t0%uhoW-294WMnimxJIHUG!1c(4eJv&f zKV)Sx3~9V`JXJp;MSIiN>^$2zU*K^RR-R*m#w97NTVSV_UE3yh%u` zcrR~wyH4~k8d<_X|>X>QRCT+E_n&^j2 z7&axdS<UanrGcBtomHpL7+w_fRFejJ*u6tvvAJ0%)n-eV0iKe!p;N8jVH>|Phe@(Tf2+nB)1DvxEG=AkyM_f2MJE@4( z#tY6UJpfk3JQXIVl@`i!C=&3Eh^W@yglifHsIG)T97-m2Yyy{dR4;P7$-LZPUbNPa zylPbl_Mkc>s$8Za_*gQ#K#+U(fb7{JhY=xo*50dN{*FJdyL$J=Dx4vK)=ML`i(X#6 z;=H&i2(8@8G(Ne1rWjo>NPPCbw^@$4+t&=2eJ*sq7h&rxX8j7Np!25$(t49w0O_x7 z+0!C^(Bhq!vQo1vC1A9R8QkgObOQIMr>EEAEA;uZBjShVr3R7oKJ- ze$Q&;<6N)rvZaWxP&hi7i7pECDyvRh)R(lzy8_PTm@O3bYvhdl$2$6W@-erzgdeSA z<B8BqE~J?Fepbv;0)*E>WA)ydBD;lAS$lrspL0}OM$n#?Du z6&n$Up<~A{z9@be0PU}JrB=orocW2+24;n!6eey0e&+d6?c8$wjVW+9?cnVAjo3ZbqoS>k{`rHJ;dL1-XvWQ{~nQ|Rg-o%ZS^}T#(w+~+8Dq8Zo+(R?ervSq< zeZ>!9q7(I^IS>4D&RK%V@_L$H)b)_O=y_}7ON5!M=L5A%(x)H5E&S84;UiQ9;}X@l z-1qH)v<5)J$h!K37b?5xEC}pLnLq2sNoz=<7i{qW&bQ>9!-l8mm+xEoO<~CbEkAH9 zd3o?gp%535!0n!ClemOl_?WtZG3PGwZVVS5UOsq8-Y3JVU_-k43OuUJIi zeHzwu;gOv)==dWgkO~NFAw7CCi^F#*JQZa6kS_FQUrrCvOO$MTC z-O;e30svXN;NCBKvQ7J!HIEDO%5lu}03=nrZyAjrde)(u4qSg2E`}D7AthM3%I_x3Jy;s6ltkqDyG= z3j{)W%iGd@wA^mpv4djh(J;xCvTA(n9ISPYAHj}9WmbrWw;)g#?uG4;8pZ}Qiu~1% z&Z{$kb{1VK-Rdk}sc)-VLEUR<>my_uoRq7x&dE0(ZyKduL)IWtKt4 zyalfn$7P>(<$J_~rnEhc<<5!wADXQ5vTc_b_1iFAA9a+ZU%BbBAx9GS3fWKAhF%AWE~Hg=zbl3$ruAAeehX0(IndHzSCUyD)F7d z=TUL1F7In%j|Z$_{s}U36k3I+Ho*X_Kk^n!Nt#lewArZH==9_1+S+)x;-fUl`fqJl znUn@j0KFV-pv0-dETs%x>|186>@Y{? zbJ@?YdhI9_Ir}A?YXC#Hk5PjWnVWT2y^)oumBLEh@7sx`hKo+U#sSu6WG(XL9^!u zR}k7o{8W1mX_B|m9OA4pH$oHNRh}ljPH^41u*EgmFqSiIrPnj3rnj!VFp~q>YDgGH zHay*dJ8K4NRsw+=oQoUp!#2BmXgGh+(-!Z5nc8zN^4W2^ng1YZ2&xPPE_Y$KCcZy$ z`#$d7u@vF5xpB;(0YTJ9AdeLns$t6`gM(t!+GuO$ieA=jj;YfyQfs<97)i^tpI|<=Aoz)yCEpbd*FMS*c==~byI(bSWQUFsSWCv> z)wU!HTl@d9_vUdqrfvN2i7XLXEJZ5XiSB)|g^JRqvSp`*FsK+Jdr~AVmeOX)He)O? zGYn(breqs~v858mpt97A<@Y@=_idi%sL$v9=l#9^yicEb#xvjh=(w-zT#n^?9Ovo% z?SzR=^T&Lvlc3vTo(vr9S?DpYtt=%05`)_i%UcQICX~fe*!<#{4*Xn5s7SSJk!X zyu&vPe>YP{{q#Qgef+o@g9)m8@27nXjFIgvJ@Puv)$-nq$M5eie{ywT#Le$aF8p() zB5r2F`boaCGQJ!C`R5_yQ~$VZUXmC%;j{AFgv+*{HviG>;QQaA&3^M5SnKfD)8A$n zE}v@X(-E~B?^})y)lI*>Y-`n#v1Vf{*M|N+=3dD31v`x<$2rE7mff6Hx9yvk{ok89t#=-_ z`1@YVPQAGA)NRQ^b)I~Ay=(8+-(RVBMMTx7EOhjRo$rqMc9yU0H{j;=s+lWn6Hbn~ zh`(fM>9Y6*lf0g_Opkng=TD2#s@iE0t88CR@9z`ayz`4CUW-Ztvg;>KeEn_Au%{t& z_HO91;NiQ3KRoYz>^*sTL}mHMiH440ZwG!X)2}_g^ws40k1zT?@bh@PyVt4t`)t!& zzTRiu|5VvR@uDVMA|@Qop7Zwkr{z;$I*hB{bZ7grcXx-CK9Igxx#RR(9J2Ot8uxx# z)ui1kO_n75d4I#hOrtYtxl1ZOy|P?(C!)qhI?U_0eD#qR@4NLr?{Xvmf%^UXl8>L? z|J^V3-9P{A{`;A-uKq9M-}}vZ-(=}`Cq7nEs2?<3ax0>JIet z&=db!`?%MfS5po@@_5zF=}_gwPmf-G80oazY3^&e`K`c#{qo*^UJrVD-^*5J;+8Ki zrEhtA;NEWmUX?kW`-}d}oS8Fl$$-a9`s(%GkBhR)zuUUDUG>wf4wHQrKW@|P9=A`M}RDZe>Z2X1iWdp zFB;k~3*rB0f4_rQM-H~s$h zCh3!XCB293y!xtsQB>CFA;nPEcA!i?cVQZJ!y|*!Jp1>) zYCl}@dO2_FFr6%2o!k+zJEQ%Q{We+0x4xOv=WVE)PPeCSwgW3H2Zk6Mr50FCt4|In z4mOKBFs<94ch3I&BE-CJJFg#`aJ)76rgDkp6+Pj7p`DXRJxxLeZeZwNgT}^hoYvk(GLX*yP?Hplk%`)J~(XD*GmFSghcP&~EC`hdLFqm$3hJRQ<@79YXGYrdIn zn|A-jRL6hRF0GxC^TL)r(WyFKJokgQjq*hP>hC?vx9BzKb+lYT8R-1+j6FU>)Bef+@#f= zb$4QB2dRGBKe+dEziegX`aGA{iXTEf`u$?$<+%99+S5@5gIX9|FwT=?=|-KivN@XA z@qks9%jhH94&5oRNxohDZStKGvv;{0&FhlNKb+U~4&SyuD6vrfGO6G90}``$MjLp$ z_N~(Wj_a9;{lKZ$AT$mDrSFO)* zOf89eJT_lxbtJ7f-Za#-s>5D&e(=lijsNuTo>;P^#yt16>74@acCCFk>7Uo#T6bQ z;`BqQ7qHA%Ei!Zqvi#%rm4z>+wg2aK>EL!@sg^m3!@HcBm+YVMMDI*^+QZ{l+M2yi z9Hx_dvPo`YN{m)%CPFQ5W6vL|fcF zEw`j$n}j)7B>iZ0bn7nDD!u6^t}Ojj(WHI-+Pxn*GdZ$2w*_>hSaN{H6Rg`r9OW z#3!!5SJB=4T(sZ1>ziydY-HA}ZXN5M+-|8K}IL<yon0^4QdL;gCaBzXRiRIl*1oCwL+rgwiu@8pJ@vii-_^F3?{n|{{Mw42 zXSn!pyOz=C&34dM zL~Q=2f8~k(-wsx+vM=`Nu*-_?mX48WJ#X$dx&PE#wlp$(*_-JqOOs1uZA2;7umrkR zx$Az68Yby?XISg16Giel^HOjeYJgcyY<^JTESoG_+Y<#|W~=PHb%)rwhZgy5{2dG7 zm+P5kZ+5o-__UO@s1;|wwmw?7PAyDp5MDnod^9(yxvPIQwOLc1Q`_}S%3zx@C$6-e z6PE6D{PKX8waSf=MMnpJJ7~_3R=Xu7p@Vzfy|&VO{%+-~8`H5gMEq>g00n^%~Z78Po`l?$l*EYX@>N+=1lu+#%+^!Amp5k@e^gBfgSkA&1Qyg2? zWjPBYpPU!4%sR8p1gn%@6UzJkT)(>Chf7Yd{G}D|fAHwU$L_lkoA1iDckeyJYkc3D z$$f964}24-S6-hH>S?=Wjl)#?Kki(>dP%%sT50-h!Xt@EP)+pSAjj>t+`9WE)Qqg` zICI2$loJQey}n|oY==F@ZCKyxKKGxx%a+!~t}M1pSmQ8F*CXHxH_a_hmyK7X6nno5 z-zLo{H{4oS(OQ@R=)@*lwRojzMUVE8x;@O#RqPeH+W9m;zu&X%OuzMG_ItG%cYR&L z{GDxl=kM-%?M>Oz7)ge2e2893+WD<~b&oBQY&p70$1tGe_XAUVr{5kbIeF*8q<3NQ z*oT)7W!Pd2DkN!mb9L*&fEs;I_wPn*cz$XKSKe26_~=e9S7Uy1xxR+m)dz2a^~HK2 zvXsMp$lJj)EBVzObLhH)J|e%$XoanfGtfT!+GEnXX}HaSM|`;BWAG zy}2K`eYv||UED6ya-F@Z3v+|Q*9`JqdZD&Mj@>1@!Rqt-+=8))p5M$d@S0Kdhl^p! zKW_q=d5wLxbi*@;DcwEBo*Vu+prp&KBUx=>f81wJ?N#`q!Y<#fyn_kW+8sXu{j5 z%bmREC41bfz#En}%d&sjqHvg~xt+J&)J=PvZU}YN`61MK{DU3JkM*&9gt|u+wHhkf zCXSyj@sABwT;@j6DtyI-4`+Q$tEMmO&X)<6r3J>Us>RR8OU&P=qI?cP{i8 zxXOOeU>L?89jv2A4EKwviT011DcdeCnc>~*u7UgXU#@1pf9l}`cZy*&Ew5kotoU)S zC!($O2ZDOL&$dkK_F|e-OE>Ec=UX=<{};PqXuJ zIVQbl6#j8+cbnC5wkv&$L;9?*Pk`mM{{D6ef`-(|b(>`g5y>|)EHf`p=)U^Q@e9q& zlD*n(EO_fTXwV$9D%~tA^ZLjbEK0Y4?`nF!oiWJDSGL=vBr>Jb{GE<4!TK?hcmpfR zdUaGuRHwsEiXZ?duXx!?lK8lxA$K-&E~skyL1P zB))R?G-9>nJ{gk`muNPIVs#K-s2%d}Q-;-TEc> zY}dC8sx?>ZY`W2=!ZvnF>k)~$i0|8m7N0zZ;dwelx%g^|@w8``^$m?Lw`&&`J=win z^=v|!yqROPH?oQSmmSf$Bj1fKkHf+1Or`>|cOt%MnEX8js zEn7&VRWag~E;dpG8_SB=>@8GnOxv8slAmr6Q)ivxu#=8YJSv~ z!)ZStopCyn!kyEZd7IW_|CH`?o>9D5h3yY2w-=TbdSHJf%dtanj&rWn-?ZF3m+eT6N-L$Ad}dyyjFpZY&s8cz=(@npQh>97n{g8)>_4 z50o@BE|_9iw<^xFtXHR_t2Q6#vBoPWEdJq%vtE+=waW{8JPNMr(SERw(GcHtz8Qut z`mPS<5)8d0-Zy@F(>PD-xU{H3(!~bwWV1YC z<3F2zaIn3(b70$6y9|6~yVT!2bF=MxV{=yV6q}=|CH{O^9*TTvF4Wszus)!iK-x#Ng+*Q0Nw+PGZH7(GA7 z_Q;#*EG#~xwSU@B!#3_A1{l!F4+W!tIFTy~d{<_#{!lUra5TRPm;jFef zxk)APK}%Ex2G>=ku6@GNdQGV8^1iV9qmG%E{3|L$o9fy`@7%PbsXTJS?{V9WUR}#P z{bssFph-So()&Fv(_RIXjPo0dG^^GK>#P(>HF71Zy(*u+osVOgglBdQN_77;ro>tQ zT!-x<*F_2XnDbotqs{w=ASOsv;wkO6U5|hACda9nafxwWwaL+dD;T8A%okM_(4}Lm zE(y32v9cfbhF}XS62FgmU}3&e$3L-0hux+-M($A@^5573d7+i>sltAzJZ8b<_3L|e z!`Q#CZd`fMpj2d7pHUxm!EnowjE=KI+Kj(bIA>Y8Z2IxM?4Wt;Jzv($_R1U<+S7N< z%#l?cXZoi1jW)OSRfq^Vf7SR-N3o#J4IiC!e&cM5&D~5N zw}PE(fskTpZh_4s`A45VHHH^GM($RW$#QfJ__pGf_l?b#!577G>f*pAg&*8{!rCdm zJ(51a^pV9{RbJSqM~a1Y>G?CCEv~7N)ff0!@NfjCq!ow){;Tbc&%(In+eQ^x?Ga_a zs$cmV;yU{SwwpJ+n9}}ppyOKAdEe_Q@4lT+Tnha0*HIO_bsYVYVd3J&!D=XHT>9gb z^RNfI+FURxv_smh{%}^a0212Hp4Rn`JLkL;!ZVCMTtV2r#p9mE>e=CoTn2Tkl0#!4SKlVLf7Zn*17D*{p?l(^S3bI)R)L5GA==iBsU&h9uXoktKvBKXk8Z zil`y|b3vKG#@~PJoK<08lbk(hh+R=_hbq^e`onpIG!t?BAp>t`4hVZS+3m-RWUud&7|Id0e!9EUYh19mo%?kPXP()s@TNofF zJ~-btX7EMnri~cQq0$7Ox_ItIOViGe+#_8b5Orw+;`&a>#XYth-qi6xP}^DVQ@eG& z?b0P*b%0KT}q&OgmIQX~ZqQ*g5xa#f|`^u^&j;l3$1ta!mr}D^~ zsjQjF6_rh5L6zV>9($ag*1gan#0Znt=i7+bhw75vb7~#i7v4YXpyR)yYEj(vFZ`8p z8Je|v&v5VcV25Kflk87pMJd+psWsN{?(BfE5$7{!SNnhRIVMvy5d|-bgw~974xrvt? zrmB0n1zV=qrTzM%oVBc9GwTBalG@In=WTSzt>2h9uYRZTrTs%jA!9z|w_4QY26pA^ z?n_Nv`s?ahC&lHww(NTQiuboi*Difg#mZaso(uu=;SRJ9uBUM^c+8#`e`MoRLgJ*FM^ zxmkaAZG{N4*LA1h8xSbeC!YRbJ~r@kB#$)f16#fM-17D2sKj(*U%SBTdHI_&BFs-b zF&$dzR-t#zG`)QN?c}3gB@@*Cy9U1eenLdCcu4dUx8(G+fBvZ}t8R%)t$+WgesS9a z=K7-8vUsa?zVX)EjBO+v#y%cqLcQCJyS4>R*vMf1o;LTN4qM(roLUwi)FCi7ux~`&wn(eo z*xk?wI&aRqh!v|%%T>rg0l|&Xvb7dpjv^I1zSY_wjYRApp zJPYl2_eNZ+9?yn#*kzKxXjr*fDflngx^e?DjEAJHB#$9r--t25@y#eu4k1=)WTf3xBtx4SY0b9$}Zg|+F@@_o( zklDmIrVe+Irj<-EOe-DIDXAFgQ5q5~tG&mIobEj~Yai)3$mngAYxrx48hHoezcF^6 z7Owlezu9(e-K}F~%@%{9i~=`n;H77jdR{gyF0fNX>~yn-uY30zTiEmTba~-{shv;q z-JX&c)+gnhbFTcYVv>zA(yr+HQ$r&k*hDWrwhR8=MJMywkTHLYGm=~kyi9eYJPa{D z?GH?E*7Xjzjag2xY`-7B;x#91?bdD0bv~?pQDNcOoIgusN=>w2*fuPjF+|$;>YCGf zQ!G};PUGWkwMYN5>8+!yC#whb44v>8wq{t1JKMg;FM_Yy+hOjAZBu&sug;V0>XvlM z$MNrK-3!L&?D9k_?-X}m85!l#!|Cvb$#7ZklFtw1lu!RMd)Ej4&g*0#x zADp-0k9(B{8zaw4bB~F9f+~Z<{Z_2%P_AzJ3J`Q&Y z59s#HMJH+gu6_faxjOwVT_<)ix}e%4+8lbZ+B%|so6eJzi%mP_#%2fPw@@5Oxt}vH zabyChA?%~?KU|O>j7S+KR0Hnb?X%tZQe>v#radiw3?1Z*Smnz69k#+E--A%4SU*OZ zJY!m_i|NBeH^cF_uN-<&A)BtctiDof`)tBv$AgLInq}2wn11u3S&^ZqddU7kuHTKo zG$V9>Ek-F}uU@cmwiwxWaMQ`6ltqSP&vm&~Bkg+UqT<`vZBE`UG4m7hu~;Xl{8WKG zS>&G^ogSF$AM1B&aKI}2(m$eWCig_Ra&xb^cc|;E^UpYu2JckmyjT>yBR<3?BDQM0 zVVVyn>XOfka%0=N%%ku;>nA+6FOA&s!^!mrzU)K&b0c?3x;^zA)8iS~Z~c-n#lZ%b z$6jus$c^hgI}q8!<$*9a;JkEfPZTeh0|p!s-K}qHqVJs=E*|b5lPj$Jnm+RV&c<(N zcz5mb)YIw}CvXFMMx4=w=ci4Iyj83)V?1mzd05-ZLk3BnN zOKt`nY{$X_ft^pP&zomhXLjY(N8zI;0sRWv)cCJhHFCS;$Ne6G=R+^s>RGItVN)Zo zwmQ6Gjl+|E_}x(lrdlFooy5o4&s`Xw`JWz}ne?~y88%=i($ySH{|2R3(X{0s@^pl`d93= zI5Yxp=$kA|9bXB4Nb+|WYzQ6F3!E4%bKclJhL^`gmGn1spVnmk*voxy9Zi||!g|fe zoEi)iTx!JDe=1_<%}q}4j~rN{b0fnI!P2BC7xRI896uVL?|@&|dt&I*w6-qB1r&qz zfr`#Nz1?fT`%MySMj! z*urT%P!%J5pV~(kH16fPtlx4DZ)}zm&Z&PpAu`&U9#hjFVD!M|K+iT z?>`KZ%&L!DFnda`{1aEcdHFikwtu<$&dDXVC*Z+q{G)eb?@ZdIGZ-r#_7NW6I{D?B z?VZi5#UG6?!Zheunp~DWu1kJaJWVm#2zwYQ*0+g8y51>QTtAidMgD70x~OdF&kg|v zLkBjs9})&T2>!{(j)y!w{nw0>?Et6cF*(NY68t?_r(8`@5q3p&)*i$vw*~$BR~Q61 ziP9^2IM(a#)C<<#0cWy$+s)nTSJzgJMgc1+%B}t4>+7571&J){GxmE?V3v+l=$XE8{+xgPWd!x+%!$wzKNZVMK*;@ryFH z-?Tdz#)=MSBDSpOQBrcDQC4-vfdRj*hVSNelfjb^g0*`54H(v@9rq8Hf9H>#xyKq? zqPO|=t%I=;2L|d`#!Zt2#)g>s$5!?VNj&>ABC$)nL|dQr+kxO-f2c2M3LZQ`T|KOS z`K3uUvC!`%#0HBtd~SI^`0bNLle}(4MismTvH5K0JxRW4(s+Z2hs$y@b{OBe7xHpL zMufD=RJtQv8WCMloVm~3eyaLHac<#K*Q5_w%Rimom|y$()t|M?mOsc|SZ3CwiM9RZ zej|5u`Ej3@^MlF(U2ep0IrhZ)?$s^&D2I9@fSmZuyZ!mN?VW|HwNZ&3617VXWi1mT zR;5^ltwTiSFvhLC%kL*HePdRw^eNCc(|_I6v09S0X!Gxd&fOp6=?o-E~5NyWi_kwqR$n>CfBWSUm&F@B}*DWB<=y)e|pXxw!a!>_I#%rhio z9|zE2qlF6iS@9{P&7q_XSl)@JDlB80cGx2ewj0*= zdG){zp+znE2CYvWasH{xm|w1CnnmA8X|?#;S`;){5~@OC&mf6^THgE+>DomDgHfU{ z;8}98RqnRlFM^b7-5z(S!WSjGSM}w5irH&a!ko{trS6?_lQJia%rR`cDEr-;DaIE} z2Fn7|2I-}wV$x#++f^3_H_1k~h{M$8aR)-0rQbQv-&yE&xQ(E{dcZJMkr+v-&!W6D z{cZho;)85kt~}-3yr&@+qu+)-vc1jCucF-p`=>^{WB!g__n*1WZ6QrRQ9Ql-`Y**a zX-1{#R<|eMc`o>WvbHGtH} zzVk&Dac}omwFa5bhAS5v4xanB!KFb%^-J7PbFIE8O0&np;1s~JG8Ig3^FB%5F@xXf zNDSS~9^~lF^-UA?y}lMi9rM)-(zzBNBr8wL(+e@kHx&l`YzsvVmTPglcM)Ji^P2PB zdJt~@_v87_pC0S_M3xz)!R@skfnJ&&HeU6KKSf_%lcg8Z3jER7Jw}&3(Yc^PC8v4R zl_8yuCUY*TAL7+^^H#3^aAlO)>*rJ6uW<;nhV^snKK!+!ZKzk*yN2iUqYa1J!XP19 zIcwS}30pKbYs2iv7HjKP?)q@i9n@2hpIc?8_mO9v&8pAqFELCj9PAxl-S>p9mH8UG z;;tQbsOEwS$0``LZ*cFK{%bKp23~b5Mn_*ung<{C;LR?lq^R@y(@=Eh%`bk(OPiVT zIgi{osfSTop}YPXJ9qn;*P{0v>k<7f`g&R)qzFr&<>M7r>5M+IS=^^1fI=G!?PLh5oM-D6-5mUv~5|JusW)= zJt_yo>f?C0>HcAO&oS=h?dQx}d-7gY_vJO4mKR8ec(+D~w#hQJi1%ph^B&OUYU0pS zKCS-JwT@3f>G=M${CPtq>%{TaF`>maNpsyE%dr1ku_$|n=78irer2gyO?#7_Z^iZY zp5W@&A@^_18*iT9$moQOc`8cK6VqHwXN|pV^Hc76P&hC$vF2`%9S+4GJDRjQqhcqh z!y&#!zDZMh3QM|4NnNadU;W|6nXPPBO?ng9p&WVos6?z-2GxS{Wd_?x=tBDIkJzAkO=Ga1-gmKyY?4o4- zor}_~rF9wIK)0ZaW@^H`gv&XJSk@=b^@iQj+f~vuH*xc9o#eHr&`e;6NV9-Mg6y=oL#KQ-MTaiTEmi$W|a4Q zcCXU$lg%H-3wpG~0(C^xCEC1iSWDQw>70$w>yfYst`Sdzf`7-8by?=BVuOSlX}+p- z)b-y=rdCz*Z`4) zuBhy085V0sUO#cp3oPi`4<$xfHSJ4V8QZpTOvW#RsDVX7h0Axi?>2Zx*DuQzTczAd z_ISWH7&*^rk{hv=Z4fMt0_pScaLRo|No)Djg(q7rtLzUW*Lwd4Og!2(K6pH-mZYp7 zRAcDEE4|5^b~^kxW3b0v{UQB^Jae1=%Z=4`F`|qad4?ByqSxSO)5m8_pA16<+CRf4 zbNsz0ecIQhSLt|;u!ZNt;&y}IO!gaTk=j$(Jexv}?LhTz_`<&p-8(chDV&ifN;2l9 zH}qN{;%|=S@!gk8zxf3(*tfh5b`qO(W7uho0u-|GBVafi+t>@?iLeKY9B{fqtOUs@I*u z!LSg+dFuiKK$G5eE80aP)_JqtF)7|+TNqD8xDl1Eb#(|q3rF5?!?CVC{v2D1m7m!y z>cSj!tgSY+iFHsjnq=@@yJf+P)?@SZ*t~D}f|=J>wXctD2Xm-0 zcmpOOcADJ+ibUxtzWPR`Vviv99=o#yxHS(!f*zkFV%`P{(pKfj%^^3*S%576k> zo|Vx`UEKcV^S7Gc_b}0Z^5xGa`@ejyMYW%QIT58r|M%zrM&N%V@V^oG-w6C~1pfau z0>hkrJiml3|M_o*6U1MB#A1!*MCoBhLvfYPp!Pwgi`mR8kq9UwZ`jtA2%2u2id8dm^t; z%cW{Ok2e0$KBq#e!as}|kmr$z6mqpngtOCMe!j{>y-dcK5y8cBg+h$y>_GI0#ZtVN znrV+BYxT$#a=8NY(uv5+q!K)loOLGpl{nKc#k?33TpZNT7zljAtQ*Be%!c4%tXdJi zz?SHjU|aC@W7imt_q8WDq*W@+OHZO-CR2&T5;5yV~42DN?ZBR9+@k z$*~^#5FC>(Qeqq&i5{6$BvVV23{x-sXxE`sAyTL@p7^IBj`zhs|AkAGYN;AZ@XErE zb{;WqA~`lBUP1WL>X#@m{8&GD)c?liN@2g?qyNSwGNlaq@e2QqiMVx>f)gu`$nxJ;&0OJri^PW4DsQZXiLIKd@inOueO_nN}RB&KY85^U)wSHTTU*Kze zERmOCwTZ-P7NEhk`%WcRtK`_E7g z!30M*qvCNzNCQ1m*clO}Xy zP~d@P6M3;pj(yG8Hx$R)%CI2j5FD#nDaE|cCAd-vy9zz?2(A(#a)f-C2G{N{u~;Tm z!cc}2d9hlK9nV+`#bsEx@FOcVxOV(y5;fellC2`RRHPP(@%*c)9u?wPd~Y6mon8gwOQmIOaC)W`iy9l8&W9x|?OuJf% z7lO<0M;Iu9$76|&;$oJh!L@cqA{Hz7d?gck zsZ6Doz@MfNdBo2cP{uY9T&_|oc>J@O;+SCmUR$Vsg-8lbY%7shA~ECfMk>K!9c9MaGt*KIQcNav2KxAGIoUEayU-@#kmB>-on;q?5GCU z&KLZbSdIYhmJ{Y-H1AxdsHjuSmH3DR`< z*%JikafL{tV!t%Rc_hnD68(r8`Ep~Yh&-PzH8$|CL|%^F3-`rN6CBQz(-`aw!6jk^ z;w8q;Hozq^JPtcYaKyb5gdyy_2LE@Q;T{oKUm!T*a3y!N7aQO_(3G)D6qmw7BB06B z;M(yA?}3Pwv3!DyVVC5<3ka@OfQP}n6cQZU3m%fOB7%d@0VBoOWr8CQQY-Mj#TxwI z_XR-!dtO510g8BjeWg)(F)JnVkOpza*i|Br`Bn48;~JHhsMOrRT_-q_L~JC+ZV+58 z=TF4gO@gbiy}1AVjo?x-e(?OaG`RMCCCC$1h;x1?@-PE3xMg;m$Riy@{wrg5h&y|zSV`ou zN!5G-Js~(B9iFFG5gcKo8X+`$N^lwCI+#}WOoMCRSEfc71?+i4d2S-upA^TgkmGw_ z5FGP}0adZTG`Lp3O01M(Ik1-+TsuA>>jZoLis(T!j|^MEUK4q#1lbzwRW-ro2m=x3 zuo{BnZPnaP))HI^v%%;6jRyaBeno0-;NB8>tTqs=jJ+fB60A2Kh`%TDDujDH&Z#5v zSpJwAIje7gBjUsQ{9A)-#|>!;Pvh7>L>}%%f-S~AXz;J&sa8q(e*dV!bu@n>?Z&7v z_NgJxr=5M);95O+dcjU=njgOMtB6BHoKM!?@%gVj5<+}K(qv<`yJ2IjNzeYq4XnQsH?;VId_MJ+J_w7hr#^!9GZ^9*hZ&XW`Srcz+H5(LO(4pU4?l7Y+V(Jk?5`wz957j~a$jfe%cHJe-sm z?wxfb@`!m60D=E+fTIot|8B0qzdjG*c1}!KG>VH^cdADu2QdNuzoEQRf_-YK!L{!N z>(6NwW<~TM$l>D5n&5~+cv!(~h#rtaV38QJ)!^Faho3@7tYCHo$1EzmaslV9@Qo=f8hTKuEK=z zbtNJ=oUg#2h#Tq$F(GFXA`dnn@e=rdiu2`+an{^F{I7jO_`vg4InfXDQw^$_DF}{u zj5EhfN%f1khXMajaCkdp0O0=#E(goT~Bmg3D3G4sJkD8z zYuCRNgUS7x3z5g@fcRq!7cmPzU)P~ZB-D9_5*)z*5_s_c1n1w%<3=}vBdQSWwmZQU zpwHzP|KS7&=f~4N=Aps0@G$kwhC ze5;7t$%#Y{vPyy1nnd-8V3iOjPbN6xY6VhAHih6{zE{Pj68$g^Fwu-nBRIxW#Mgfy z!IcWQO^jy{!NCHHxnB;};M(yNBiKf2z(Od_7cM4jx(3(oFBF3~&CF&Hd6`U(ctFfT zHMn-%6o@9df1F9=v7ANdXkfDl&iN=L7;HAtgXjtr3i$s<5P0#A?WVsnWe zRA)hrg8wJD9JDb{{K6=%ME(mroZxV$!t+FEaP9Y^TFKS3`5OG|I3vxKVLTTQJ(xvd z{eMg3;YP6UBy3>=T#9}P@c$G?lE^neB+-vmh&ml(iwTb8k<-R(3Bi%Asd(HQ)j+=( z%nJB_4gT-@D!Dsi%NpR|@qjNUdN2xjGbLL=aAYY`)MnU9f@2RU@nUS12G_1D)LDdj z)@p(yhXxY~{-5Hgv-5t5HAFwAMacurm_~6KTT5_m4teAltHHH-5aJE&I>zEOxb`_g zUMV^MvySMIpv^~)eYc+As68TKP_cN5D|kIr#5NH9SmnH2#u5mQqK}XVZ6r9@Oc8&c zM5-V59~2f#YJg*xsuV1l=s`UK6&uD<2#)HzV1G6d99opTpK7xP*RCJrFG8HTg~&@4 zGQns~end(R{$GQCeNMayjO`&f!X{olWc@k(Z*t%-7o?A}>K2 zp@3aIOyrT&fKUeiPjKGP#_P_x6i2n2^Jzy34!jy)!^E7u2k`AH28m_2RS7VhuL|mhv%DE{}+fn z@lO;0U9TSc3o8;9ti_jpd2)DJ1fsi-dl* zB7#ehhw^@m%Ty2Q9SZOR#SP@aM`4|m5FGUvFood%3C^p$66h~&pdXDv7>KI`2d|~( z{`VTeVISarrR+M<&%29wK6s;nycqnCg54xIk`%NPs@ZQu4~!=ov%voo9JG*_>;IkL z2pbVHf&ZsCoH+MucLx1_RE|-8n z$3A*M^zgnc-v9HE$RmqGLIVDu;IIyymS$yCj}%cgBCN+6T)SToJaD(e%84Gt^Dt$M zRS-SgZu5DsBsj{^@OMh~gy=!|k5rDaDuVNB9Cz4HDGr*D?~7**^rMc0@qA8jDQ|m( z;ro-|LcbI2^9zcjuEBYjzX*;vO2zq;ml|9fcX2ic+laj)@`yf>SjyPz1~>v`1T@u+ z;$l`qa413jSHx;Hxb}M$5=7dFg44RGu*1PUKCxc0qx*CXe1J`#DXbBwf-eIoJ*1`yGJ|EKZ@ z-&CAHX^O>*AFY0#2k}1kCKTtqG#4j0`uUaI4>lvX1o=4MM>-l@yI;g=0cOn`%A>Oh z&!NG!_5t=vC~dTC6qm486i0CfEw4dq2i5`qTPgPhqBG2Oio&cLsc^=lmj+s+=?vC&R78K`tU_ZMPJy^FG zA35tm zop_r$8$fWNIPe4hUxRDMjkneCf|C=G2WuuYa1WyLASl%^^n;1K76qby+G{9AOR4H>M`sGS=4r0F#r8roAo|g?HICiyA2X`a59DWCMFLS3j z>KfdR4cFk>@xgjP>LFtujpE?{i5>)F2;sp06M3G$qg9D{6L}sd@Ok$kINleLAozcZ zgC5}Vo-fhQvvDxr%#X?=vEg>lpWujpM0}r)Bsh;BU=G7L$ zjvLx|c>~{AB9Ctc6Tnyi!R5%JIWIJh=s{N{H_&W6k>|+~-**!T4zq_93jUwqunj^z zXcEznE(c^(GB&wUT*9UhoX6+L;Mr87A2~M|Yw-UB$6~|0fd3~r?*r%SFo@u4zTkid zYw)k*iS{U*WMUy2{OkTg-wwmdKR(Sjp@O<`bL9mpA%+=myy{Vq6g!T3Ye13C3-MusN{hECpel#<-9*Ftbra3 zDExjnkw?8)s1HUEc`Rn6t|B(SQC!Uy5FF+Tc2&W?CHm1PiAF2N77}@^D!5uXTSRbp z7ceUl7D@ELzwq{XwwTJpzwrEb3Bh?E5q36hRF17|fb$c9Vz!Fvmnsp+GPauF*e}9)kZ7U@&kw#!&ek-FD_9KC zgM44a`%%|6kjFYlU>!^4VNZBJUR*=`OaDK?(Vj1yi(F4|WJh338H?B8+Iy=s}el3q{RRh&;{< z2)x;*2J+}D!+P6H<UPm|x+1O<^%jc!FkZm>uA{oNB;wNr))dHQG^l>66_#2 z-b*;Axs&3^H@RQiMQ|7g!7t}%@UQQSaxQO}+fC(_AdIk&_E34wt0NxUOXT@!K$OSX zJ}Qr{0`4I9Q+b5XoHzT9;ON8QZ9(jNq6f4nFD0-81m|Hm??d~6=;8c4=RXfNhU2{s zQ5;z}pRdCNN3$p*9q|7IhaDFB&2kCO(?=fv93?pC;W;mHjNphu1m5OHg5#LDlE?o) z5nPZ5{xiWrhJ)e;|4(qf>$tx-L2&NYkdCll2##@sCh-3RM^*r82>d_6LO+ z9LXa(hQR+5{fKXo7RXp0#RWgBWcfr7+Qx-Gx&ng352A4m{r^-C=nXKhtcc3X@dj9j zmkEw?5DXCd|A`*(#@Jv|Rzl@b?&bl|6@tT_qXPx}KhXnUicnU>t~QYWa?ilE2J(0> zG@x83^1NSy^Gi1<4#&gmfH#RA1YIcCNZD^h9{h>WCw7bAaI$E~0RK;Li~=h8;QuKu z1JQ=(xue0g@gb@doOWV&i9FJ1^c$f6UxRDcGxuwp2fjz-`RNz_z4r-@+Z=@c%m)-l z0}7XaNc3}e%@@!kB9Al(Es@~=8^iIOkBJ_PgAA!LD{mB+u?m9oatc3?R@nf@aB}`% zgKPH}j1s3YSQWwf>2Ypno>D#VBK(D)QF)N$d>o!rd7OKNtz>@^c~nmY`}u<4=#p3Q zc;GLB^X!q&`%8+WJ%RHQuLzFzVf1e^_L|^0%!o`K{r?2Vc^MJ!2dL5D|E?2+$w;JY zi9E765%1S}LvVBnqol&vTcQV14)_)&dq?DvM=M~K*n5IwaD?%!BRCF?3jVa7;7GoN zI^Ev{=Y4&gNc~5He|;}#;f>%Q2#)oGgj2>o5**KiIA6p*5&a6Bqv!GeXM!X87x+@` z#XZ{fhP+$g`I|JuX2p*dmtbFWf7g`YN+k9?ZfT~$wfh}0j?kyAL*zMs$n9iv4gT-@ z;th~@w;=L}LWJ|AEeQ@%gq7PYl0)c;AJ1yhTv*M37qHA zBe;-{0B=ii+-k(jDeW}4_PsFtXa$t9_Cy{e13Hhu{}Xv+>F65~GXsKSncyT4`u{b! zcAPP4Lf&meY>XgB7bSCnM2ZZ>s}df+dFdw$dn+_>M05X;Qt%y;Vm?5Ai=?w;)IQwIT1au+i0a@Y!Jbb@1tc4{r^M{&wp`2 z1{*@;@%;E+@c%>}tP?-#$Xtj#nqh?g5LY4(`-X-;-2X%55sxXkBN;|;er|=wjc!yA z%p`6AV(uDTYbTK}2zGKf(SsmU#Mh?>)q{Q~ez4q=$n#snxF7T)IL4m0nJ{mH|M-i1#-JXmIWG!%Bj$P_S_X2TdXa6Trqd z!1+yGDmH=WM-<50+u6hh@`&r;rzR13{y2PICQ}^Vh4&dwAvnKRjnD7Y1~~5^0ROMS zweQ9Ic6i-CP=jmN8#a;97ZlW}yp#nK{WvCwqo%n3hu|1b9-g!5jp3M=83f0sz>OEU z|3`yspA)<^cs4PcNpWcB<2H-nm=~1%aQ{!ExP*N}aQH6}7D_gU;#gHY@SUr{|MeFr z7+{>|5nPOJc)o7Ks2;?(N;GPOQ+d1?uX9BZ9DY!!56&kz!XjKShx>nse$eDRBVpeX zTq^W?%h^Jr2XQPa+l(!0R37|4k%v>ptAYP-R37*L5P6(U6wbj#5gaUxaL{@w!BLG6 z`oWeFoS$modDC(Yu3ZnjEPz@&ThRbVUXKQdl?`wN7O<j^)Gi;vX8r;ZF|| zT#kER`MK#s8vNh&gXM;V`7o77F^l&_93eQeP~kjCF4cp2C~wd?O5}xT1K)d$;^3?K z^Z!V2BxS<=R6h|M%Md4N!2fG-?en85gM3HIjuUx=51>lG{}UW-w(v;c{|S!mDD*R& zBsf1@!}FI@8eIFmU}>RB&VD8Gys4Gf%}+Om<9*K%oV!`x-*uMYsA~vu^*MsW8zFK; z|3ASIJ_z-)3mRPeoVI|F6Nd?nyu3+p-lWazeZLW$ zhk<+?ZfS7s^P_5ldaH!}-Y70+x2Ya9A#B_0(0{~BC-9uT}Mo(BAX13l=+Kq2iB(Szt8I|KYb!7(qwf_qGG zH2L#u5?DFG(bvkaA!ii?=ll}VFIGu#ek(DTe?oEazjsL*Ms%bT!a7Tx(p=a_-5V;NT5}^Tj<0j&&=< zSG@?15BOW*UQj8ON3|GBk;#ZWzx1B_FFC=H9|^p!g5WBULY$9P5*(*N z;2O~XPjF;kLY-Hw!L{Q9E054x#rhI?9O@CyP4pu;ib1Fwg8y%z2mS>fbpVk^SSQ%+ zfkYnbpQpymiO9qL;J_RBe}aR5=54KPFwuiSz;?v_|3n_?yU_pXOmI}kg+4A9f@9W& zxZ0KIM_Zq8-gYRJ$Au0&{vSqgev2_r0NjWk-fzt9p}Pjx{K5FS7%W>hyis`x^U&bh zbp;v~omsg5pW^)5T4?g3dQhC=`JgwE2it`}0sKFa=lLm^5;lU!^EPUp$N5qm`wPpN z`4JpWO~l8?pXe9zFO0)TA`dIZ+wIvXDi5>D3qPY9#l>t4#nC^*?ax@EpVN@MA1{F5 z;F5*&Bjbo3EH~7H+c9D<|#h{OZ;{}7zJHLhnK!O`=@uaRJ38eD5XVN4K5iC8$1M_ekznGpoX<`wM2 ze5wbHU%X>t0l_in{DvO(Eztu~k%y&hA;A$Gax=^p5uD#9!}|s!369zq3?le{4X%AJ z*a6(vBxg&gJYTr5Z&3~8aef2^?4?v5?XH}sT1Ig>{1o=fa*8AS;_>+kf}`sTsl@+b z>pTGWEyuroDpIK=E3-jn`0imPm7u<_ zuCaW}8$5EvF^6%y9@Y8qJab7w{6$BLW8Sv@)yGIr&Os^MI@a=xlGJ@1C;1#x(m?Qd zbJklt$901A5MIV#P5&RsvuF^Io~;ulPts$HZ=NKcznbxUvh-kHv2iZfDdOa|xBkhe zN)PXa=SlycNu1yNUUQluB(8Uwc#6=oj=it*VLTA7WZfhGU-BfSH2?eu#Bt8VoT<~T z2ft7fi_Z{GzDoLpoGBi^Sq#>*q#yqk4S(_fi^ngWIP!-Zl&-ucS&Ou&o=F`p2}3D6o=o+CZ{E=+p- z|Kd4~=kJ~?Jv=tvFa3Wck2{J6`sDwM8tP+ane27bNg!N!+1z~GLN$^lzdLzIj?<9oL`Fr6#swc!+5|+k}bQwA$juK zTiog*%hPW>iI^8lK7G}aXYx(UvpCPN5`Rnbcy(L-$hRert-09AjKJm(!2^riZfKpj|D_Iz}f{{Qu(EGbtahzlt|K$X_E)kfk*|y;hvj&>Y`?6UPtJ{3?GJ zXAvNPO8&n%i)za&`)B9FdcxYw3O8NXNuD@wuBEE$#W6C;e8>MUJ;(5CX zkl!%U!+DnZ^>1^It;x5%(RzqpbHu3sh~xGk0ybU$l^&9E$ZVFO2(t zrH5DwLu;Y#FHR8+4OwPtb8`k3C$@TkIOVOlC8p|u;<3Ytgx7;6a_;{Xze&$rO^fr= zS$<|~Mx6DH3O4fp&6@*ax#l__#y_hn1qS&4#mU}l`I!siU?-# zvFoxa+{HmC%_3)9N*xUI3r3ZVs z&EH2zp6A@|=h{;86y3Bs&__z1^Cp?Ov$d7vlT{o$bL){jUJo3d+n94cO1{veCi3ap zR=lM-Fs`=ie0aa?c4<#okCr^YD=p&dF(b}@Kq0~Q;;9c!V&V?cpYpiu%a0W&3xP-@ z`Tyda#*^M&j~6G-nDmxM@rx5Gul22FbZ2Zr#JaKAL_v@LG=kV3`>z%}T2q}N8 zou!9EQ!WOmT_jKZh>QdL|B`2ONr!`awm4p9_RXoEwDtCRoe$5Ad557tRnM1vqPD4GU0_T^V}-aiWWQifZ-vV-9{@V3&4uwG@( zDUqHm_3F-tdEL^%(El29+H53Vw!8JD?v(_K*N!>%0R8{PGcV$B-$VMD@0@h;|BJJW zxBHd$6sJojDb4u*NBTKmaL|3Dp}`(+X*J*4whV^fM1IKs zw|?9?JkdH@^5iqLJdSal76BET*Nz7C!2G?P9nuA;_UCFT20rf(vR1bKY{;W^0_uA=k)iQ zr#u3`%4yO=7~v-WzvO9ez&bEp@0UEzhm_^j2RiQ`ML(RDxNy4kuwBqmW3JAS9^%XG zg4;7C&pJSPFxIF&Mp`iMAYGJX~O z|Ki+2(au316UQ8A@y(Bmr@Ke|6`$yQ)x2gPVxOEdlE*#9-~FWIS(Nar%+bM}SUhnI=t|4Eug{n(uO z9z8$lynhsjk+{?9r;^7jfk&VFf5my4tTgoh5oa`TkRbnGoH`mDCFK8i-al$7*FW-i ze_zCq_al*O8<(KLja~z#S@ao#mhjE+BspI$in|SK8;t=_} z^e|{Cn4hnIi0ALdarsZ_L4Vx0b)7iVH`g=P_2LANSP1a{OF#Ao^`{H8Ckci!ZM! zo}}x{yS2ngf@*!<))wdNo3#46Rp%?;ll3Qlvvtf_{o@E*cOs|%zx1;s`yTb^|+ zc~I+1o^x*8v2`194%f53uq@Q`p`g7N@JQ*>|bvJV+ zcH(Pym!90emhsv3Cgxnf6GfX!KSduL4eU$iy0p6Yzn_h*&lAU!>iFVu{9vd8df z)~tEbnpkh=I`1E>Cpll^|Cc=b5kGjY7R=+{W}jM=p0tgL0kI^`+e$h~EsHZ>u$buo zFa4N}^#7#)kK|Ld9)He5%^7a_{tuHL(tOAWn5u`5)4iasO}UEANZIQXEEGNuJHC?Y~=#b6iV0Mr|XWu7dHKJxZKeo%SlVt$6&y$^YE0 z^Wpoj{;(e{*P|^@H=NjMkD0`IU)xI$n;?O}#oEF0#2NGbA8XFCoqh0e;>259z1!oZ zpZFlZV7{IpdCG}ez4?xk=eyA1jQ;x7sq&}@}B-b;>p90{q~~H|7ZMjp~YOiSe*3@3u3BXB0U^~ zxc`Oxf6G&@mxJ8PB+pxKd0#IVXP<3;*H?&>l*o}2|9|JhxMg$6vQ)3?eAV~IJmCwy zT6z){NWR}|M)Kq>b70%u@@d@3IDD-*NgYf)`u|7|^PL0IV(lUMlyzo&zFwSPn|5xs zr#L~A<}Z4~B+mNzM)6enX5Dy`Ir#&5?|X?;Y>O)c|Gzlrop#Uc-r^iiTm9@?%<;~| z9@wYz;rZj|NeH0!l{~p@x$e96GsmuoUwwb+;U!WDF;@pjp5f0qm;OJJXTDJ1JzED# z9*%{G|KA+5B6++AiMM%;{K3+ndTm@)b%;35=cM}7q2jE2_>&jw?VS(fmTsrbZ}5)J z`$ut>#o>kjf24=i3On;K$+OD0d;JaNzYBcm;V3atmo-eQO8(6>2leBkF`7tN*bpgCwW$l7XLcF^Wpn&YD&6XonSpw zALU|(caP*-nsc2f{VaOzV(*j8IZws!aq>t%)0Fpqia7fP`MS$>s`aovCSds<$ulon zp1^x0znpjt5BfB5mP2L+`Tyd{>Px=a`=y`ngF|q!J|Ld=!aJ_httSb=tYc@0$7>n8 z=uB~j4;gv%{}E5SyX0wqP(0;sId6Wb^I?5pUL-}i&X#=AXR?ocSn{k6I98VHBjSmJ zr!M=W;ux`My;~nMr>ZdH96S^(o5$;Y3Q3H(WMcAeJ8;9T*< zDe}HPCH*`e@>`bcyontDzc}tIX3SK5M*7p2BX-DVC6C_#`;Gj6$>Xo)q6_^0=J+k+ z7yW`bd6g+Qsq>|u?~?$0eNpm^AL@qi|BJ_MnLLLJq=#w8H9<@DWpU1-e4&N;FX zf|hSep3Sk{qx~((CmoxgP~SGEAA9oRE)mb=ry0+eij!8u`F*jz(|P}>xY<&V{9VcO z9@9Cjz9*jSKuqQOzIeJw#BTqA_)YSQ^~28l2Y;7o&3pNgIAOZH#=1-#A8N~s{;@dc zWm3NJ|98G>J>eY62LDrW{C;?3r|M_ooEOkET|e)9*k8!ag`$!+M^|hPqZ9c^>t0{Y`q1VHCgyR2~Jb#q53-bTXaj&+9oBfLn-zUpwT<$mPp#Nu; z^xN1KtBKOi6b|cJoB#I!*~nHv;MSkzJ}zfOC^+v|KIZX2a;#Ira0pP zdw8nWk{-O137^*5;yh>W-NXNHJv26@q`lTL$G?<|pw^Wh?Ay34Ydy(x_{C8>U$>Tg zepT{w*0(&X3>J6YM)C)+($g;=rmTouk?`Y*XnccH{z_sJkR@!W9_xPl+7n` z#>oT3Ib8FLx&L>}IRViBzw`dVc^Pwz@i5iF%07sfkl|3%lF#ug>;H^--1htzvz-rd zL%MkISLy%X`O5PoDwBkR`H>z*Gvj$dob`kZnz>q(9u|QN=UNiSY0%=K%i=UYX?=1Y zEd6X=)M1hTFM0eJIK1%xi{rd)fA?Y1gP)v@bEzIK&hn4FF<)Dllc1ag{YOYY)jsW> z(=EkuR-_!K9x0A@Bghxvev7`j`>ihW z@z%qlN@-p_!JN^SM6n&Ehkdr?;XF|sKV+^2s3)0IR+xCxldZoMOwQI*Bp?4k_SvV3 zWB=pnB>!KWYUg&|f4Vqv>gLCOM(6#bm@S;VXX}}g=lsPC#{VzQeoaLY`Tx?x@L@qD z|6lT~we7t>OFUkZ^f7q0^w2yZ9YbqZ%kz5^H+haYe%P3?0blv)#zgRrYH+cN@67%%Q z4IQLo|!OJC&bAx~@{r^Xtk%ArgO6lPt)3^cuzvXi;8}X@ETb}JG z^ZGTCk2{JZUhOV<+!E|a`2WSR=UX1v>%>VD;1^fzA^l7WmL~fDo8#SP&eWdblr>;z zPS+cxpO>3sP`yz+eM|Cp-z3iS=SkrI7w7Red*;pNanPV=Z*k%aRNm14r}O@ibA3Fx zwU0Ue_9Xi6D?MzQap%;2k|#aC^>x`_Jntn3<^!aM8ZSbP`2Ra!+4u31XTv^F@`RgO z-}|>of8v!KdFmkXjKcK8KUjKN*qpz6h&ihU+hZLnPVBM8kKQhhzclF~^$zpgzQ*%^ zr#RbS%;!2xoHf4ne>hy6LDK5Sk1$W(5$oZ*#2F>6AMcT!_Yc+?4wf7kjxr~1$bq4b zmL9@Hiy3dnnB(7$ANyG8Venv|Ox1DbI7Z`7I9_@vhHC!g6D&`(j1{ilJ&`ZgiRPSZ zaB0>_oe$$Ds~FpFoh*5V10l$TI;Hc$4otRv&aAfR8M6?)J zr%68JFph)wO_FDvyk8u9(0T;MwAt)$vDtc&wjga;iQe`FJOjulv!lJpJUC>to_9 zCseM_)yJiWm~Fe~RV^(9LcxqQW+?poG8Ck=SrSMehM?WJ|#}EPtxw{Jn5lb z87ALCeOmJLD`1N!|6e@ma_P_WS#j<(V56e{zc|l7?QQDwo%avUoA^U;uzo@Eoa=Kv zX`L_5;l1_E`=U8nSvjwLsq_9($?GN*QWuD~crkX!mq$E)Kl=Yq}p z7fPPTOuEWkeNFPD4={x2|0B-vCBwhIAx=?7tLwi=9PxG^-^JoA+bOTCZ;E5Pv2&9D zFV33R{6F9Bynht&JK~QEb&2G2J4@mbmx}Xq*#XG^7iUkKOPu|?;wdl4_xYYU=5W${ z>igzQr0icm5Kmq~)}J4C-aq*M%mCi|k4Bt++H822nUgPv?OQ+Ye0aZ{u{hV@|L=TQ zx2dvge(#@35AU7);f4B{^dvf-@&9wl;~yYpeY$?p`QQg2hlSk>|G)JR6i&S9SK>Lh z;!dt#OF!R-|6;x_w>-!0*fUp%CpsQK+m+(H$E45KZ_Ly8n{oSFa~@{wuB*hes3t%E zcj6f5?VSGm&ihBkVFH%*2XPJ~NujJiinETf1kKf-Iv?I6wmE@J`u~jNF=#M!uC_dj zc{b+1i1S)n-pF6g*#~1MUn5Q!yxkXetvIVcDN^MBciulZZxT0Q1N*x<;g5~61o^?2Wv(-9Z^?g_$ zSa4UDJjczJ*K~97*jLei3vt%r)*p2Z@g~nWzoj@%iL^PaH9H@^59f}!s%kCEFR{*` zXKl&zYdOF#*R3Y<#ac&tI4#7iu60N9bhTjNUQe7ZU>L;Q|0~XV)e?Nymwvo3?BwMC zi?@Ck%%csYhv!3L-*nw}l047(cH&Hcykn{JmFJc^WzMt9lE+)bd64{naqRGRu78Ml z9)EuCL&aI=8KLC=i^uz%{Pu^7b8Bqc?bH^X58pFpAf5c`5t7GS)bcvE9Lp0BrT@P< zt5xoc+)8@rcGvFd-dghb;fY5q);5yI=uJD)dXzY`mz5j;zd3eb{NCG%GkS<@5o60<*;_PeBwUn*~RksW8<%Q zmN+?gY1>fG9_is{@!ofpJpMgiCH{ZOH$O8Q;d8~)Mj{8N-K2+QlA{^<|KbEA+C2!* zmmZ!^ZiK5BNPZ6YcJ{{?N}jfJ#Jd;jMdB<=Y&`SzV(CfPE&hj>h+}oNz6387=QP#g zI4={&=%xP>{eQ&ip4{&Dd`0IgJCT@BL81J?S!-5?kUb*ghfXGAM0nf zGd1dslFx3JdYLzg;|*_pD)thO-zoJ1Z?=BoxydixTk;Ga9R2wJ#pzm-wl}qpc=~VT z{I#!m?j?*JxL@b1-Y-9lKd`?!k28r82S^W2v(}gOt&-;u!NN3C2TDHQGVA}_Iv@6N z%0ZIWS_esWmWOd93f76ARZ(9|K`k=ysslWAD$0xq~JPAoN#g626c4j zE58@3C3&aEh_heQ5NfH8l^zaR8HRP7<#9mM(zA{qbNq)hbwcOEzRB-u_jbM8^5m&z zA3V_<|57IQN!G(+p8f7*$+K>!^J|?lNuKe1syJ^q*V5K|q=)xTz-FP|YaV|Q{(;k^ zhvg(`x%EErq;KcNyk8u@Q`_%8AfBp*#KBJ&Pq-%M#52U>2gv#QO!4&NO})Tboe%Gw za~bKk3-v+Cv#Peb^$&^j+SA6b&hC8hvoWnR9O}c8PufEKY#$Nl`6Ml+J}S;>r1{A| z*7@)~S>AB@PS?jJPuVCQ3-bTX$+t{>^f}_#C#^5RC#4^EX=@;IuH36Y<;%#VO~%_()=f%lRRD?_Sxn7yyS6SwK}ga zh{ye$ed_$qhxLI?C+10gail+Ko3r&La~@~8LB@TFz9O62~&s)DJsf_5IoKu$O*h&c2X*yvwYgU`OIvKbAaR2^xRQ z)lVd!w4K;jKb1Vst@R)N*+f2DKbM|#txA017vk}^B>&-;;^ZOFPzL|MIOlHu1^)jL z=hveDa`9w^=6PNr&S|{WOI|tVxYqIii*t%2;)nl##90s-|5u5#8n$~0e<#ja1jj4= zf5cl_AJ6#@oe%Gq_kz1+w*DyjxO?*){xp)Ou%CbNXK}(}tOUz-wK;k0ta0@h>nHyz z@#4Q)9s@BO%r%n7TuPciT`Qi`TF%{nlOD|Eq)^u1CC?yfeY*Z3`DAl42kM_A&hz9C zTqixr+Kiw7dUJN=t*>1F0i+{;K!}^Rbx%mliCeEfzD=_^3;_2oSyL5H&WJzWm z-n{ew8E>TREYvL|&pD2h8Q()ZMqt*-TZ%XR@HIOhelLE)xRGkD&WFFt^31Vvrq-4o z!jA+L$^Re8W2SNNUPtmg&Ni>tohVQLA9KRax&Q0d(!(&vav}d;oNUOnt*zUb(~m24 zB^yXTPEIT@`u|8CBbkPP`2WRodw2XQw-?7d)AF6}ApKa+tUpV2N6BNJx4iTXB~SWK zyIAE;lE)@$_f6bcoKsEnbKYg72eXm!d{^`I8{wk6yGakb9f{HS|0i+Q`HjR`9a`VW zjm2|$R`Mh_5htl5*PGX-ov)0m+)sxccn@<9nbL{;1B_1SB6rA*d>6#L!J}VW3H9g|QdHJF<<}A)x=V!&)1aU;-{}<;t z!hoKy`4Oia0f+K}Ig>Yb?_%e}I!Qmzgo|sb^I`qLyODMgwQM~E0`X@j8r{{N94GWGBaZEN|2>lwG(Nj_x_Y0&v- z$x|%T{DF_LJgY`7Zr@(=S^Q)F?;uVwDUn0^|A=$lLF=>kIC0K#{4o0en{#T7pWz9e z5A%-omhrY!J4&AWMiaiMCyJ+EMEn3xnxH3%s!x_Y#coMssi%zO`NjN!r%Ik}0gnaw z|Kj*R@jv7L7iSe{c`473eojF&j-0D!N}fU0@~n1}Ja%c@cXl>kNWRlT?IKQ|MpE7C zSrhqOJ-hQ^{-(+_e*Rs>xh{aZZ2bS?v8xmJf37&$FwH-?Tj#@jWS!xdK3C6^Jbgb} zJ@xZP@@#iZfES1-?vVBBg%dgc{}Jc;;D30rc;evkd%wh-(M;!(dg+K~BVVqUnbU`s zo8;@|BOd*;^$KyuGwC7o^~%nN=TH007H@r(c-uyJ{;!svRwsp?*GQf)QOj@N-SULf zW0<~H@{G?s=6c;&o_i?p|4W|pDH|&Oe{)_;?9x5Oll_qM$Qz_Tt8ESpZxm;oGrwl* zP2x0LOF}^HW&K2D;;(+QIBs$hN67!T9>yWIe!WFJ@n3er+DCfg)=hkQUvUB?$zFSwCL#6rvn1d0tnp zb*dx8a|vnIpLbage%jo3e5B;r9b2NqQRY~gh}Y59LwZ6IG>;i^5<_`k$4=ynb(}fg z0V+`Icyk)5U+#%pR-}SS3GrXDWEz{JWXwh-1&U ze67>1pM5!rAZJLPY1-DMGbN8-ngwOH&Jw5nFm1Qy>Vx9=%?KDw)rZ8BFPAvo+2%x# zxRanh-1+c($@1qX#QneGNfXHV=o8{;7LmB>Ih_yt za#sH|y#Azl8lAJ=o@-7TDISsfl=NdKET_WwJn>xa6Myxm#dAM$?B~yjW8<@5lm9Qy zGSKe(_*~~J-=Dxw93`KZe46gYfAR&%b3BbfQ0Ge?d%M+peo;Je&-f+2Bt7KgB}Jz$ zkUYjYsr6M~mOQIAD!*6@ zNIqfbnfi|9dA;%He0R*Td-4B|d3(R#7suXi`SU*z=j={HDE$AO592NUMz|`vek6Ik zW6gbdndB4C%DM8#k|*xK2qOPq94{D-RQ&(q@k-?U^)qqo6aJU{|IUYVE7emmTk02` z58oeqBS(q)rSvcvvEcCki{lS$=eS>w^>D(Qt;;2!yxFWvSD2IanE2zB;<;Tl^#Z>U zPu^z6+i%6u-|FwK631zopRSuOp7T0=w=S>*xHAcwK9G7H4wn>u-|h zX*NIJ-^J5cE$6#`h$nA3d4vBH=cTm$>pJmR?eQC5-}&%+S#C+toT`6Go*)#K7yW<4 zsS#}c?Hj~#hP3_S-{J%d+I?p?il<6Hal`*~zVdxi*2%d2@0h2v4hivDEm!&f*%exy z=FK|)|Mkq(YLcgHrPV8~Zh7qL#!#NE^(7y-dh&j6Bc9zl>&yn?q|4#?uDY!_JtJE{`gZ0#p2YQTFHRGWRyTJC zagGI8UgZCar~5$Sl^crV7j1pT?u45s@_ zfAi)ut~Qq*{Hvr(&({OQIsfM7y?UVZFfUp@_JhP(p4ON4>^e{tL%&45@C&n*}EyNlw)z+1nprOsD$<d>M@fz&tZFUoCeGB6YgN1Gz8Y+$BsDbIr<+r;; z{4n}cHdjxR9)iUjrSbnu4^}UAn&khB^LIJcEYvf_@gH)KSg4)M)88JxbLT7Xk;Nwi zdKYmX8h&Z=|E&i%c3#Z0#aWlAe44LarH563jA{J;lF#ZE!|}Q1%$6j?@7DS7+$fgG zc3sbte)?b0=$!ul;yi?wNAZG@el}V*&KHWa&g048{@*d@+(iDrc>Ff0i+st5bF9Q+ z@zTzR=S-ZAJ{#QsE1s(9_&r{3j=`Ed!&ivou4wYF?0jY1vTnrwe3j%$5+0YilfhKIR(d$LHv9Q?mM2dSk6P_voH3AH`=*-f60@K)asQEkbG{zK~252^Of;{dnt*72TBj| z&0GgvZxbi0xY>sXjrCw)P1V7YXY#iG1BZ;{$rmDSb*SVqPTIYYZx`qMivtD!zc|^G zq(I~Uw|?wxPHc6U<Zpq|Epug$?708V!n=(9?oktpszY!9RF>*7ybls@(l3+asRLNC+tal z>O{$tgU^V-|8LH6mAsmh%_+Z#U37{#{*!ib&Z*+K)sv=L@9BIPpZHIhNcjIHPrX3P z1366`r%hYu-)GKyNu2Bb($D%vW-k5zC6D#r&X1={K7EV{t=1Xh?6b_f`Tsxv_bR^ti%VNyR%`!u702joeX&>Xe0W|QKMD6t)!>&M z)+y?In%zIFAA@}2f=T2b>hCEwy4ByOxPp6rPv zh}}jUn>?-9YXj*=y7iyEtvFs}_IvXGIv<`l%~_I;Qn&AXc&^wJgsx}n4kI2jY^Lrg zp3`tH_}Z}Z;k}UG*6h?fnWvDK=Wyqd9*%G9Aa{{G?~$#Y`~ODrI6{~wcN5R(%=&ou z2|NujHj;kIEn8psjm6`gjeWC;IAuyL|8>*Ohv$}jGIG7^9^#4rvEfRaVbi$$o~_k9w~0y z+T5INDDkZah$l-6w{1Oe66d`?sPkbQ5;jd5Sh3Z$e}?hHb%7LoaQ+uh-;Ko2_+QCm zu=Bq76YZas-PF_Ou+iuhO@Oxw4 zBy;;woe$%LeD^G$wXO8T4ojc1?Ice#!IWv#qb<+DBERb~oezJPb6sXwZEtyYh4^1~ zFvp!6gZHuGoWWaN^y9>NXyny#{_p&M{%(s4KEXU;4))C*rH8!amLKy(amvsr;3NNU zqz8{5ao;CPKIO*oFF!>bzhvtZ^i*-Gf!oDRPZMw31<&*8;;fR`soei3PK=dvNYyjN z@ng35{Z5^)dOqy%#6fo!=McjBGhMq#4~I`?2IqhATmzlB?6akZQx}oznc7wI#3$PN z{~U4rHO-EEt~jee(r#q!XW{y*{T3K`HZ6wgzL z{ENhK3UkFm)r-aP=eB-}FA?W`HT&|Vov(a<>gBlVtX?+aSZZt-FP9$X9SzJl|BJKF zw)N_j6ZKI4Katb_SDf{s#ra+%o<*1kUAv3td=f+Rwc^wVrZS>lC(iIEZ)~ad=zLhW z`L$`kS+5sQd0or@6DR4a^%H!9IMol$pZmtnhv%Gqod2ZWBzcBmn~!^m<0oo)CvP6} zw(#vOj$eR;P3r%}>7tDzpZb4s;!N${(0$GM7s+qiuk+#iGmq%6x>Wm1o?ALwUxNe0 z3Bqx~0_T76xDDfPI#Bwv&g9~Pw@H4HMKbgHAaSx6+x@8rOHa(71f~v=JU+CPzty4Q zq_N=&ta`ijRsYI zAMU4|t|P@0e@frgqbBm{I@%mBChxM2>3n7Ua|%km!LbwNx&N>8VZX*4h#R(!mmW@K zF?;KTF{f1!=l?Npea25Tr#dt1%t@UO;}A24fihDki??_HcEu^;2}dSz=2UT>CtKBA zy{GfxIi#CW@|@l)d7c^1XSq%jkDfG`e4jb>7+E0RFa1m-Od9h4B;U>#EHtN&Ih~(p z>I~^2`?&cv&J^d{w0hCACh8&oPdxQhxe)k6(v!GI{D5bRC!P_1)`z7h+gcWyk64~M z$($oTDvp03$Ibef^k9~z1%G{9@+6(K`28m&kKZ5#F?EjRIoHI0_epWGRGJ-f?nqDW z%bBiEiL+R7PMNCnqz9v--5c>~aSo@={``zMe#zFC_Os$C3rd{hbK*@8&+YT#EK0Oc zB>%7TVP5e3S?Xu&d~+O!MB?g;(u0~-fBq$LHpg~<$pzwReiXa<%i`sqYIS3etZEIu6MKOgbvq5tnhK2^W$d}TdnLrtOZuO@NqkY8I5#}}^H zsmsL^zlr1g3h7}SrcHfa+4=CC$s@^Ysoz)+@sBuCe>>t7+z@BFYRozRF4phF*^l_2 z#rpk3PX3>G>m;8tz4R}*UYtWN5qawW#hKSQn#ung>CgQl({)4V!#E**I_7r$TYA{sTRzH-(!=ox z!*RL(BYBbzaadFTZ+U_T?ZV`n-SjVp-`nCk7~(hUe0X2fWwm}Nt4W^uO8{r4R+l`{ zyq2eXb8+l;I!u!PC(b4n^Rw2Fe%xuve5+eZK5?U*Bi59B>co;rzSabug=}r<$?eVY zr`<~OczIf(8^ZV0PT(b$jVaa#;NEcbLeh>W<<`KTG_3L+NKQw>aXR z%<-C~AN`%h38!$fB>zvGBC&+a>#pKVc4jL1f8x1?DR$}I#rc{ouX>}-SH?LLCifq2 zEcrxVlSjLW~iIW4+`p7?AoVBp!0cv5g0%rBlAKdT;ZdAtU3tUN(~H_psFw;d&q zS%Euerk*HyzCBAE{(o`uw2}r>PZlQ|qB&@uBK=s6Jn5-=s^nQdTYb^f%yUlXxjo%_ zh@w$SQO^)3o<(0v^8dtn?QD?CwUhKGT`hj6okyGn8orD4u&6SAmg`yKoEESfXX@F~ zgL|^|DcDt{6BG=gjnv>|BKVpxLu>LTj#@gVEU5sHDAx`d>9V|^F4}K#B8zNCV8x%*5~LT z^Rx}&IUhXIld$S?9U^%S3+$-)|HVlIN!zP>yY=8~&j#=g@m3#;A@WY?!E46Rfck&S z6QxLFfWtcuNAldaF&}@}{gNDs#^?DO}D zvmcRoF;njs=eco0nyC+rIP$!((>ouY8+Q9m_y0+r^)0Ou>r8Q;1DU8Zb(VPM7oF4U zgVK*PB-g6ehb&KGdm8GWEqUNg{{N9YT@QINA2Dx#cd0%qp6dTJ4E~sTve1}!AMbp4 z4p`?gE9w)H=hV?I8ahWj<2DK4pOhZlGfBIvb0yDX<3E|JPnl0)r!jxe6K6kVfnKgp zk2raHIG{h%`SAU5p0xY1KHK@Q4zNeXonN1`9yWd)p!Ip_A^L*L8vnoK*%e61TdMOV zpJczBBfcnkwnyB7^Ytam6CTX@=mPPaZ_gKod0+J zp?ET8QC%qg#C}N-q5rS+<1AwRS*ov#XBSN1@EhVRCk)WVx=1|hL(VT3i)S_Ds9WFc ze0X0m@^dc!mgI3q;m};JZ%dx~&lU%{MDht6=0JF<ZTV$>;o@_55ez7~u(n*U!cA&SaaaUsylq%`{N?rFh~{v44IgJ=|Tw zl7jzV^2wv4HFI4)kuTI0;sjrClP}km(jPNC-~Tt_c(2H8qW)hzx40z#=PGfW?feAl z|HU~4v7}S~FV0+Pc_4ofCl-zUPyK)AEA}>tn3c8T6Pe{;V!Cft@F7@>{eQ>`ZSu#x2n@!}iwOZ%HddN1?p8x8S z&$7zZq;+#~zGot1bqn!i?c`vyhIsr2xyb02oezJPB&fFjtZ8}N82AoqEy*|gmT|bY z{e#89Zah_k=rvYxNIT0eCq$^W^VF>p6u9m@7hL^ z=S$)USgegF@`c(&JnmS0i?yjZb_I!{Q+1Dtoc_P!37az_YO~H)#xvo~T&Qv{$&++J zp3HRJ+nfoOM9=$3PwD{Ur@F6r@&>c7-Oro>o%R3z;`9wqySCcA^Of}h{~=Sd9x#zp z|38sW*Mr8K{%cb;HR5bwY~<78aZX|Z)r>gCPj1Ak+0KXOnR8<7`8mmxgo7t_w&o?z za?6{+4i#s8Xa)3(;+*?%z2g6u{w(uxpf8K_y09mw>%kNGOg&_zKOQXV|0R#P%|UUo z9wvFbHq2n^|IHadSx>f*o}0esd_6*(=Y}6f4mPZ zKEAa$_A>?_{eQ)&uW5e8M@c_(6h|BNY2xv&rVwj8>4}#)4%SCoo_H&nS@jt4tV>Ds z*er5vXa2HtQvWZW z;g~G$30U|7Ek#?`cgeb96uEqbKL*e`7qxx9_Wv`P*0P5>WmV1c)ED%rxM?M zhV^9lvwl8vl05s!PUgAifN{I?NDp=w@uOYD`8FJ+>HjM|i3cTa^=xr!Ia{9guHuXb z90&OSrJwoBe==Xsl{`sAx$dxb8_T!+^XG}PUU8&dsOOt=d`!c+7l^Z15n!PHzw=>! z3lekr%e-&r(P;~rZoiyOZ75wo&yFV`Tv~{--mu} z?VSD!amq9~NmRX3oI%p=4|tXIH+zo*@T<-7zoqW)HPS;>ZmvPB-6wJ0<7=%aaV|X5 zuakVfW#TD&NFILz`R&v7dh?Wd;h*2rdYU~({l7UAJLlgwiW3FNv7_E3p7j6t-}dT! zn2#8Blmb!zZ_Wfr{rujY5AT<@AuS*KE!IzaH`29gAMq@<*?0Dx#Cgv9i8B`17^?Q~ zeE6QsBTTa8IzaL%uT0$ht>WxE?cR$6$9fp*GxavfvpNs}BmZCWsd~!A$On&j2Ix{9 zGUoUh7V1#xCm(PS9%$p4?nr|Z2F`AnTA{p8^j7vugv@m$-H_3HiR9C#9M`hfKlt)y_j zP8Vl8#YMSPXPD#vOn~i7ah@{?zDsph=PS>FffYO9gObP3z_DhzJ|vDE&e0hE|40w+ zaP)jw9D9raB>jKIS>F;KuaAloOlQE6|KIsA-q?G|q$dAg@}#+uw}$^;9P>YI5b7N1 zxhdaZsXl3*xEp@*bEOBT1TL?tPf4EF#lV`c^CXY`gGZMBzmkvrkaPNH#8DGVr#>sr zX`laDs?S+J$?9z5_4&?+bsp=##S6Y5d5oEqv()+GsalEu@Qda={nVj+sq^9a=lgS~ zbX_2M@|{TB!T&E#FpD@B`Trw5IBN0Fe^s0)V@nvlP6J=YL!Bske<^_Y!fOW=+qf z;>;~h2KfJ_KcgoOukT7e{VQ^g_?|fKJpv@;|BEL(JOkwi;%Vm_yZwiq5AU7vOric< z{mAkdOsQYEOq^-j^7?)(j&;t>T=@URv4s~>*Z))Tq`{`%>Svt~-v={?m5KZRB+ucf zt*gJVJWo06)i1>{a#-LN>Q~|nHb(Aj{aT#G0Yh-PE*D3dlLY?%&WCjsGl~WZM!E>?bDXI{%SpZPmZW{&4?3E z!GCzIILAIbn$z_+>F3AI4{{ zo6LKu)${gO_4A=BkClKfK%KApo|q^2OII6l3`hL=tD9qPCr*9y5y!j426l@v=Y>tz z8sfNl7!TzCi?a@(f3DUvXMIZ?cCF5b-^)3jM}hxeJncGSC*MjOcPSmi@c)YwP3I&{ z{=ay-m*u>$-iWtwXx&z;fUwHhlRS6^tAcTx^ZXAb14NDP~F9x zZVO3hxU2NwwP)bs{}(5#gC9ozzw|H~7}4{!kvP_NOJLntdQv|aJA4yymc68<)TY+c zzW;RHL-M%osq`iPU!1alT(?o1Ne}is2K`LkOY$UFaIp;if6N*Du`BLlp6|){ysz}P z`UPI({ls%hC*)oCmmW@WxCHV4i|3x*jQD4qw~=UW=U% z>j~eJ9UlL`yfm$ob`=(vxXTh^HPVdFqIp|Lx)C zOgyH0Z6ThhbIzfUkp9%g=YohW#p7R1V(ufQC)K}+J8UKS+|$DwsI4WB{g5zbZDVAAM7a7pprgQkCA>3cR9(`_L3*8oo%po zkUZ-uN8{;wZ09TEfns^W3-vhj98h^ak2g;`Gk@R-(x3jh_&{q%$+P&R%|<;@^2}Y@ z08H1D#8YRH3lp9!J;YyHp4d}HJe_Rt|BG`@B)~xbUvYd7t^VTaoe%RD`vJp<{=b%I zgGoN;GbK;_l(_0_?IiiEo>}*H7AIWX*27(-Cw{FIWzvQ_mgG^iU|HXL-eFP_yZNS$*=VEZs|400${J{Bot@OkRocfyAiBo6S z*7H5Y*>u`{kgu2ibfwIN342# zPIuMTuV8O+_Q2K`;w_yI<0R49WMb|kdDfE_&)Qd<{Ti1h{(o`0&$M&U{^B&#Z~YPv z5NFk6X>}qHpVb`2M+MC=ci$$+L&Fejo>reb&N@W$xGQpf za~&#qf+-w?mg?=2XZ~V`*c-T2;(n|5Nk92lY%%!%rH42UN6xAGfH+nc z?{}e2mmc!}+d1?M$ulqTd(70CmZwZ7>)u)7IHNe=;r|!UWso`len^}m2DJ z%YluG{y*aQBv{GF|F<4?{W!2bCHdUilzgi5#F;KBXRJ?4PyGD3i2F0>? zEQ6l`|9|Jhdrw?4{-3Xivu@D$lKwy9q^pp>I#U-~KjlieUF&P&>7$su=&y^@9w66l z);C6+a$bJ#MV$}dGx_Ja-}K^%e5Sr>Jp?M^FZ$L*dHnz4JO?~*3w4S0P}h+0eCbG@ z10DyY??^uPY{gIhU2*muQrGbROHcB_csKQZ$>Sx*RfYfG@;GWa8rKgckF&ScWBy3; z#7&5&EZ1d{r`SJjHtNTcB?ML!YGGLt?wKb0Q-Xxz#5GjX!Aa$KvQOHbZo4t~Fw z$QSFE)`J%~cG|BxALa{IVA6l;*OF&kwR*$LrN6b==fzwh&f0^8GF4Yf59fl`AN4ol zn4d{+so#pz%%SxqyGoq&1Pa>m|93u&=Vo@15cYe?r`#&}9)A$$*CySs{wR*UkusqA z(?~xLntkfeoe$3~@im53T`hUeSOgB~|0Df;nUsmtUnNgkeYWPhM)GOyl<$A7IN|Pg zkNDpvapu?GCvjfzKg^RI$aDB-=PS>XQJYRY*NNkU=O-`J_2Qh}2~ctWpY-z#S{(NO z%t-)BKlvNPNj{I8s{TER^F43ueE6O$dw3M4>OYd_w4C(n`mZ=?7dT#dVLcEu_%R6A zq@85lOniwrMb^F5Iv@Tn>l=RTsajp~x$hx%A8w4u%K%l>tSNYpR=xbf>WvM zSx=mNCng^K|D`|anVdvxeaVx<)$GIDSUwJVEXoZe&$ds?Ebjjs$y2AsxV@d^F*Dn} zR=1Zt(+&qT{r@e`tcbt;j*{oSQ{FdK8;a-9kv^+;vL3pf<~iJX5=Z}CCUJh(U8O(! zDL04K-6WsBSUG3iT^zSf%Xi&qq$dMzrZ$#5(~gxD|G(sumzBKAO(mZ$nc1iAF;RZL z?m6PDW1JH=lb%$M#6NQ{$;aPF3!u8Uwe<&e2Tlh z?%(;Ud7Uu$Tx~ASyrb>YOg%t)*e}|>*AFzuOPD@g4-!whLDs#gk$%EEIJ~AMPv63% zZ`904J~uAS*R18qS5IBooaHe%SmJ74^5mrOZ^-`_XY|C3twrnMu$G2FOOodnkSvF_ zEP2cgu5y^G2TPt>0Ujy+f6TFqVy`|_9Is#N_x>>H$8Uyw0zyBo3vpdofmi&KloGoNLk^e8A z?osjYJypEfA$-rLiL*@3b< zzxj)H5l>o5?2TuMb8c$S;o0K&0q7K1wQJ`q--qQb3G2_1JTdB)ul`)~xQkfdc9R~; zrZF5B>v@vrb+vQo^E)5xXQ~!s-qs5wpK9=|11}uu$4ubd`Xb5myK*e67h67Y0iN?q z#1r1hf#jv)j4K|)RJ~04Nj_}*>B}d|FV-tM?;l0dT7Fi&QhGQAk=a52AL+p+V!6Wq zFL~N`(K-+Rzc@*lxt^?c7sovx^QvAe{n<{FfB3pF=glwH9^#mL6lBu>M;tvZ!D!FU z2RoB5&SUejBo zr*%nS-Pp(Sam4dI_Z3GuLl^(Q`2vl`c+UHqlLV6fdk2UUluz56dTZyyyu-G_+?cNe zC6BwM)t|m?B#)hmVS12w#%&gwgGZe1QP?eqNI%cM)yEwwjy1skPX532H2W4m$vYas7($C>2aSmUt z&f;isnx$juR2|d#@Lu@-wBn@ykK}Qpk`GXIoaB?$$JnalB~MV8Z%Y4v$;U55fWO{7 zNgn(5M9FjBVW`a1Ns`BoYH^d3B_F#z4yjYbWA^fg>s0B<=`_#bJ>sZg{LueLoJrmK z+@3blPgswI_*0lxhq8~%*ViP^Zi;IQ|Gzo&H~ZH&MtU%S@E2Vq&U&5W|`BjVv7a|Hb3oh~55Y@pMs)|Ly9|SH>r&1uFIHFXpX$ zZLa<*p7NC3n|6&k^DFuA*LFUvpK1P(bN$~&@~LB@|BvM3Ey}s?AL4A*t)Aka;=FZA z)#(2-(vQ`Goq4@EFOsoR|1!rtmcAeVH<2&a4HNl7{d>g8VB)}egKJ#CH;S-Cw&RB zKHow-moO%;U=4EuRLRG#NgO?EnWvnBak92J=lXUZ!L3G|OeOyAI-RdP zA0}_s$#umOe@s7$^`wVWee3ITYjN5(w0nxz7bn@E`8{qU{dB1yC6fDpC7)#Go(!=!P z2jl;jeB!)$!Hbg5XpSAe)cG(DTOJ_s-(|^TR3y!$9xT2*5;fp68PUndXhJo_2E(Cgd^H>+g5tAo{->P+gYA${7v6yp&m1qPaFQ) zUcBAY#QWMooF7HTH~s(3Ip@Z2|F}sU{f`$X_K3xb|6iPKEoFAKqj=J4qW_8F9O6hQ zr2kLnE6+dau1xqRTR!J*u^;3$u3-PhT%8b?RBtpZfR2t)4CUoAfW&uIBXF zV-2e3SPxk^$-{rHcxyKW-%Xt7Kpjoh^Q52W+!Aq~KjI{CFd$waJ<0b=J@^a7sT*p3 z*B6On9j3imz1aE*&}LnIN$35eatk=>>!lMoU%y^9f%AIn<(&`vJ8@6`m-~Ok*_T_t zf>(Avj0ff~_Rn&?O7e`tR-f`}bC%DnldqAU#92}gwY%jxHs$-gR`T(-Cjj|6@f3n!EI8TT-&DXw?Z~FN@`-!8!^~u~{oVt(Z7dk+^ z$)o43oezH(TPdmdb)Y!&r3Gl;X3hdi!c!eI;;f&X(+@Uhnasj^$e1tYfPHA^!+554 zHti(q?c)5^RyX|)ar`zdkNTbBycBNCBmZ9GA0?jdUD-#D?!12#Nytgxu46h_`98Q&$!M!%r3W`s(x&RTkvzwJ z_V?p0&oYqwx)a37wrP3P@1DdNw*NuqjDYuk%0#|Ur*^*b z-ic>r-o3~2IEcyEs`pAhd6Kc~P7`N#rOdkCCq3k|aq?TP_nTuN#z6mo^sr90z8t4Z z9%(#Mi*-il{iB$4F-z-A>EY=UsKfs+o@=9WuKA!i;#9)n{~vKSX5Qo3;%vWky2Af2 z&ile2g8yF}_f@lFKPrx23kNs-e>z_^4)I?x&_CY!%K0mUlYc%jmTwNhbH<$W&Rl)6 z^WnW?B(#1h=ZYs?CFj#mi4#ONA}Wzl--s-t}~S)|~At z8`$ThCq+z&PkmmT*F|Iu|Nlr2;Sqko`R3^dLcrjQ(!-$)iyQyH;*c;8S z@?~?fBQZ_f6@ih^E!|eM_7_OD8|>|20p*hV|qUbNu%4Ltbi*A)EdW z-w~&bJJ(p%cRTMN6)Pn3{dZ|g_;gU(l;PqHep4}WM*;&?Jsek2~h zK@N(Sjr8ACkMLv5H3*@?qTFX|Ge{I{&HBxk&XXfoG@Uk z2mGaYs+i($|CRLPXW&81)vwJdU*>>OmrD<6m94MK72-6vH`=de{b8xyk<*Pn9)k7j>OD;jebz;`QQLg|j35tMlP^F|M#D@&8Lc z?abr9xUpH%T?Vdp7zg?|BpDqzLp>U-_BRQ58>sOu-hk4|JM~Ohvl|z z*7-2McnGYNOqLnv$osHEj!PEz48?o{JOKmOO(n={a>Pab8!;pIJwGvW$@tR_lsmV@^@>Q|nm| z3sCZiZY|C+qSd9YFFn`;^xd7W+en^Wijw@Q4JOJj*KJ4g$#BH~Z+Qk>?o+${L_S}4 zu%6uG%y_<|t|%HWjBmVass5N9QZ^f>l0+bN4i- zoGy;G&7`N5%b@>Wmgi8A4ddRDXIX7^*7vbI;nO4>+}9j?028$C*ZDBtInU(&Pkpu4g8|ZHE($iX7T4Nh;!Oc8f-0!r+;A1Q%mBx=Qr#B za_6hY1O0jUyAPH;iy=pH{Qu(VZ^oa@KD>8e z%QJjL=l!G7PbqfMmf|GAl30)bUz{Yyc8~B@ov-@6>1;GpTT7m&-|ny6M)JHy_TRaB zl;rWNG{?lYl23j}3TC#GJV_u~2I|q`*h@r2$^REm-gwr5?K>ZyPtpo_EwzK>k;Y$y z|G)F$_hO&0L(bIW#K}Lw044ulddN>Bl^y^8NS^Zo2k9Lpk4>7g{(7P~-E(s7Og+hZ z*vJzoeX`^UGUCv||8M!2SNNBnYM%Md`tvmD!Ffdn6Z!w*c%5i$g#UlUvmny{NBUzI zu|?KS;@JPV!WL_1>4}veyJ8n{@-R6slm9=`LmZIj`E1FPot8A!+Ewy=9hQgLdX72U zU=l~3D?Nno+Wl6$NuF(-y7lRLo_P}TC>VRbc+y_7U%Wv2@dKyKu3jkl_<#7O^&-i$ zo;QEvi#s32GtFBPR;rgsot*8jqX>=R|2M~6%KUnTc;XRRXkOX* z@O^lX&ENPc$;XYFb@kQa42RYa;Wgs%+9!`|cX9GVD2&AaFV4Q!>XKe(P8v({o%Rrq z^E2_I*LOb5cU~hYj?1;D=hPlLbxq=$Pd(*~*b7bn*;*DTio z;yh2{Yxw`i`rAb*2a2Z~BOLUeS9 z3!T8`>x9mSb%1V4nO^no&ihAUmNtLpiPFR2I*EXFlH@T$a;;pQEKZUw`wRVlq=)a5 zP+FZTdCCOS9;x1APTV2>iuXzn-Wd$p`8rMV>5`dq?)%K~v&Db%esgx^#8W;XPM@DP zPEPN9SbtKNkwS$tB+q8o`rMw``S6?xSH`_jXN~lbxWftHgVKXvi^@6t|08)8ARL-! zOP*zb3TFKO6XlodBa&zD$~3KyiYI$Aj;)V%K74=Nw<&|Gk4v5`=axV73GqauqyL=F zhv!D!0ew6c>XVXBepmeJ=UP5_cTD(CNuICY`d6GM`Q%Z=Q2Vrb`u||?ea5`W&(&u; zAAT>f;<$zCbDj5(!kI~fd;I_AJpD|hFPNu19YyDx$1LT6ezEi6`6U0A0a0HXbK+Ku zb%FFy?~~=ZzATQ_-s)k$B0bb4rL#+YRq|=umi6#L$#WcJ1)8d_Nj`3sBsuyr_ujk@(g~Kl&SibIMzRpZK=L3j&p#c%2Hh- zo^3o1$4fgOz9;91W*2=&@{C&Qf|u*No%fF-%-iaPzbARtCB*0I`;sRqjw3Dk|D6wi zmob~iSwECK&Y84Zs~?T@6UpKHb(!Qj#^Fh&|BvMPUCh+k`ibTFxmh=UDo!5*&Uf_x zksgk-1Y8&D=aOgJPrIY~h2)8vQy9Edzmz;R$7u^)zY@nvZuzLc7EiTmUd-jzkHeQO zrmm1Y+eOPCxKbQ5s^y*jMx2~e5)|pw%6rr^B{~B>> z-CADLwc;7iiTC}j^Hu8@752=#zmMgc-|rui&$mwi_@Cm;YxFGCb>_(j;CWsz&ic?U zqWD+m{iCRxV1?lRU&)geN?>57ZkWJX6YJm7Lv~23XTMRL%l^=V|KEB@#K}VTU&-Ud zAfC>I?+`XO&Dj$P66KsFI4 zxS8t^Yg6kdAe4O3dq|#hV$y}`o|8E10$k6->3ioL_S+f zoeyye79YMn{(tEQqlx@~ah`wcJNgiDa#d0;RuApGf3VKbu!eu}Fv+8*jn9Wmo^vk! z-==Ge&WCjsUoTcK{r{zh+&$`F@c)YwjA;D^A1R(;mGj6}o%avECyf=TpWS*QpQ&xE zhu~@SJj$FXSNcnAYduMi<-oI@II9Mc*r|H7^iW;N8^HfB`87}WgXbL^Zvnlg`vQ{zl%8LSX}z`Ea~CP(+H3Je{q(RY)7@Lc#;I- z-+qpGniwbE@m%p#i^ZH;C z`j=~O>EZm|`s}?$oJo{0SM4*2^ZfT6>BsX*AB_FPQ`VM5!~LxX?|=N>2Z*yOwfdm9 zijx(=@2Wb`oMe@3RB!9Nf3Oaa-a>%tAn{fg$-;NA^u)iBbIKv&Z5M$bDo%Ja*U;75 zt)K8z8gRVB@<|isd%jchycY7br|K}t6Ju%pU=J7Pck$rp|06x@`*eE7|1bG?TN1}S zQu4VkCi%KYNj`mevR)l6p0x3-1II`Yc^Wu6r|Vd8R*jZVc$|3B!6;Oy@Gd#PJ%medK-Ow9ltN1^>S|s|i=S;Q#Nue>D4?)(~~NIK=|^G3M(G z=}Ed`GG)#bCurFENSq}-jJKAs_(5^jF}9?o`jGU{458VvXIq|KBro{Gl27y^>-I;? zTRjW@e{r@!8WH0E7hfivl6daNJMSMn9}3r5pg$qbsQ^tgb&fc{m*sh;J}J&y$xVQD zZs)^$CmDv&0QvvoyxbPoK2JPh=lH`vZT*aMB5(B>$@6;|p!EL{$EizX0RO-A#J`cq zz~?2;d}(!>Ul8Z_rmUpSH_trfy?jxeAXn?N_a$-moOT|$Kpdm7<$HWtoYQ0Lzx0*P z`$y4ri}T1#eO2;_Tcy7ELh;nwX5ILjISDZtCtnxG9p36kz9G(hWW~k*FOEIa9PSr) z-am?ux~VPXsIoOOxiF~jE=D3^*e99Xw!>pPtf zAq=+r8C46vyf%(uMzD9Or!d zK9`9TY-L5k|1VCgpw%_}M4b7HhZX<7IN{3XfBTtu`UNFn@#o@O} z6i-|=ILGD`hz%jV6KO)KS~edyj7O`N%EY7I7pEH zFL{C#Y0*|!i)Vc1y!IFKq{HJX`K$F4cEar|jGy#8+e z#ATA7`47t{4#@fIpOPoO*794f6X*ES@;a^;XZE)B^Iy`>@sW)0<@&#ge5r1b9*mYY zzy57`!V8!db))1HH(?p5|A=F5w7iA?ic^)>{NA-DgNT3nzm8o^U~j5!*7>mhkX*_J zPyW9+x9qSI;Qt@%A>m-IZZ3IlKjklw|1Zu?tS9qzE9uE?_sP>(NAfwx(VMT<9dR57*vadSI14>L_}1b%?PuLy zec(VfP}+k`)vrOB#l`? znXiAIp1I!3bH6_Q{oU0SPO4MPxBPULJ6w3^&HlX6BLp}9zu5~7V>~nj6Vs6*kB;N> z(vK3{_6eF}=;(k)^BB5-xshBWktZk4@B3>U@Th;H=aa{t?v7EMYOt1w-z3JvhB4;7 zrh>CB+jcZ}tni?Aq1t7-W`bik;d#w<#|e&mfDJSF|CQg|d;IPRB5!)BEvP4^#M9kL zisN;nrCoEy$y>7nIZh6ESwFF=ri_K01vj+da;CXiL06Z-P zXOL2Y3ID(F^S*qRJeMufZ!7ZQ7@>i_gl|AAYllIOd(5gfCL@5TAQf?GC&J?A-sbNo0zf&X7|!YP&yb6&us z=RsX%2Qt%DZ{ zj(*5c#s4q3C4VxVxJv{lzulj=b*bQ}w`4Ss|1UUUC2t>f6rA1ie#1;B!M!+o-Q@v~ z+7o)h0=e!Ak*A)y_d{MO@@)4cUdj2tB9BwiucucFPSGmAFYFq@313*6yt_8WZzlkx zyUsD3^d%fd*C`JU9ZOuhUU0sP9e?d^5S+AGM!a)320U69(64Oxx-J2a+Q-szv9#Px z%0rgC$o%zoP3T~&aS{~XU;bGNeflPOWDe;zWa16(6CEz_oaqJq? zhaVE${76Lc|_!ii=p9Wxkm*@ueKrJMhlNQjV&MGF_kxeK6d5fF`Pn0bgVJL zV^)gIOJfBmdBg969w)d>pO!%|UT|}ATHNXh!Euw@u?g-;!TGv4(5e3u@Uroaa*J=s zJ)IKIcFzb8Su(z^{M1qTnP=k*ZDpzu~Hw(z_nILaqm1MvR`JZew$Jxs+k z_nOF4PsYl`y4MA_GJ)opdqa3ox)^!c?#&oZoQMzqR!W@wf5EXXh`gn_zXm)Scld{i zSCaoPxMlyK_PTczXJNMI{JZdb{SyV~AA(za$`;6Xg~!xh)88g5ZqLK-z9+c(z3qA4 zSN?PgwBdOAKye(SR=9JD@UZCPups|m-I?>>sjTft58|5ctuDC<8{ z1xK&*=dFJtxS0i}Km1E@YAyS7Qa%lM)UV9W#Ruo6i9G6_O{;FY;zVcdd1fe&+0i_I zk>Iq0-={EBcv#c?c%PM0KF`e-oOKpcy``I@I98lFQ059hb$)!l`e%Z(J&uJF|G)BB zn2`_pg~;Q3FgLcFC-UBoqkn#>xK)>^p)_lzSwf-z7~132Lj1i?wgc& zOE+I|J2r}e;T9-AZZjK?-wJM3EzHjPPI!1P6w`F~eH>@v%W^*mkIg6M_x_LID4CX? z>HaG`<`go0;QtgSyUzBVEfgH*Bz~}5_oMLR9U~D0|G&sv{t`=r`$=)sG&>;V=Q!>Q zNi0@=3m4G;|0nV&b<7*tZi(PFU*QsTONEDB1hgprf5j~j#q%#$-1g`4y;cZ6{lO2s zm5O7XS^#gA@DO+KbwPg-dGsQ>Rj&J0PL+I%Oa37^@qJ&VjK7 zo7v+B2u>Ce8v< z(}o4u4i=n#Ysba7IsuQqukA-5W60GNd4`?2XIwpzXL2S|g#TaUaT@r1yhBCa>Ia(r zc$na<;~b}xIJa8tv{xOb-uzL$sk{{fHs z37hh4d#F28<;^d_cWe>IS(h_iTEL@rU>dM;I4)h~G5V|yVTR%;ShhhrQ*h>6EM4mV z3(n)%fnF{v;L-Er?e*v2WCy(Ld05!!J}yUi;Kmb^?Q(?&yVC1*d4iMoivf@SUvTtT zT#oqv177yKJdS^Z74<;i9AX>4jugeisR3*Jg7^A$NImWi*c#Sb54Z4*JX-Rugv@~9fgM~ zEo_*{cAZ3?*W!Kg|0_-!h4qIkgvaz)d_C?;k>?N=pVxX-N_p!4t32P)^60J+-0}}? z{9Y?KeahDl=`6UFAFv7QI>CvLutgF7f56N7C!f&{NV`FCJ1r7J>qf=thP<-tBK+iW zk@8CYAHhj_AyWYVzw%g>3gYkG6vt0UDz&>ghO?eBKXey-4K68?XYx7|~iFs`@Y=6Aw0cK0aGY+?nY^MxNX%j?etBJcA9@yGTN zdGtMI2=f0$p7qEgKkhz}$G&4jBlUj-XI1d^As-N&^cFG~sQ)9l%}W-y?JGD&koPP0 z6P#Jk%zf8iaPp?u&_ey6fS0wuuWvy9zslQzYV_xUigS8|#n%Q2kGXR!uv#cM--W!& zG&fjy7>kzfvc8zJ&o zQxrbK|1a`ZW|EDvZj{L95)ie0Jr9e#+2eL#(jy|z>g&(Vd{pFF?#RQ>aiaw{f2M70 zdn}GqC@sT1F8p>1xYFj2kDoc|Wb)#s@rVH}vW>%X51|VpA{rFD_4=;s#Ak#f9^0qI)`sXtu&+js&r@3bZ$Gyi8&UMcTkL637J^Q@K zqbpJ0Dc8Lq^63A*eO?qCvl2%V`TsER@ci#?p^qe$@A@#t!}`bq@R8!In^d-Q9}Di+I~294!jCfJ>+O6JlgBfM6ztzWYgd2)_99(|?ZPOf&T7#lnw1K!ywTe?;EA z+vbN^A~@e23x@oE!L9h4LIAe|k#*HXo*HRBzpJ|7C>y?h(E-9^`XOV<9Vqfv&za%w zYNW!^e`>~fICUFGKrO*7f1W-6?jYeIx5)1=s4cj~aV#J5VBulBVCUw!I*OxClG@?w z2E1(E<5U%E+Iq^5-@xL_hX_s`C-1L5RB(DNo*wf51vjP07MS{q(+H-AHwbvy_hLe{ z!1m!WoI+0Mt4G9e{OWY9h5?V>3%4k(@7$3AkNS_rWh_78D8Y$d`+5H87*0FTLX8Bs zIJNmX8wWgke)J-?(UAWy^0u$v^phrn6J_`N0h`%sHL2|Q{{vpuK13a?!0ss`Pt^eY zx77a;+_E!meLqccJ8qiaJza3r3KE5>{~z$^cR?+)(w(U|yNhijUyB$ImJ0l7B5$Y_ z)=U?9l3VB~)c+TGlwL{&;{Q*HXStTb!~Q<6H)h4;=@2M_*@9ah2y>jvQJh)c>cZtJ zPW3cYVwV^2ed7W@FztVq;8@+Z&D5Qp3TORlrTjQntRQ1+#Yw9nVC>om598F_pRTRQ zTl~T{B%Gr-$^4c`eXinIYnD%Yp5o|rw%@Q_z@zsi-eF;XcfR0w4ZMG>z3`A^j>(Vz zU*yS0qM{7>|0++F0oDe0VZbAOgK5~;i@Qj8D9)K<3iQRogO*8TEYDq%0=EJdmkN%r z+Mj!Vnc&7_iGv+e;%Tmv;MjdstjTqk2fVD^DEh}V?5+@;DoZ{e^-AI4JNgaVSBX6K zogHK4t`>RxIV5PNyK7=N3mb9dYXwIS!7d~JUvM4=Pe6{lPH^S`BEY%s`hZ98#Y3`F zhx~t$XRx5UXSo{%XI$f9%5z;}IDRDB`6l6KEc){eyNbNUqb;$oo5=ez;k5J3g0oA+ z+o9bB=esj?;Qx>FGc}R_FF4C}E?wQ-7VxNl^3iR(kLw}w<}b1XUvC%O{3KSFpl86N z_Qd(-_b1*VIN>!vul5ogcdwOsc6SPnI_CFT-z7Nnl0R|fZpCx<>Z`p4w<<7Zhu#zL zXkFm@LY3k2MIODy*T*OjoMp%BKYaw}y;x%K{|jz|$o!x82~K>_*Auv3aH1Ff+?fXi zXL0Av@c#!qdVab;r3f=!Uy(Ph*W!TvM4tZ7r99VPrz$!#J^ufIN9}-FgTFf4 z4OMxfiKf2|6CADD*P|FNIOd3tdyWu(JHN>irbjByx`3|ZM#XTd5z(Lz2RwRTye;O2 zbdQKU>o{o<8SYWR`CcR(aQ?62_>0USe@t;Y9N)}69`NXQahhQj;Qv>7s&CjlHa6hV z_@yYcug5h`aPKywpN|)uBr8-_^8W=Vyo_Rp|6g!R>#(@hQ;M6u2mZ9+R0A}1#yulA zMU{DD>i;Wl$3f6fo(p)?PiRl#7dh^Ekw=HJ<8j;zf|Dm;Wq90+!b7!dOvr3EL2yq` zUdKzq!>Wmc0RO+@gl%blH%V}u9zL(~Wx>rGYj)Esf}7T8d4R79j{gmd1pmL_>{9me zuh#>$ zoOPY0F3m;n9pQj>f^(T4BEn4%Fo#O?|Cfy)`n^qTA+53Ox>a$*B6h*uQHEQQH7l?k zUcc;jNOt$<7T1>NH@(LK<_F9BTE3UX)#@m2tw=wpE4U>SSOQVKfJg6b%DR2;Lqr}U z8P&wOLj@=3WnmF_nBdU({#RdccB}Y!OasN)J!1;U;Q^1@)$~`Z7k`AvlWk$@oNFjJ z-G&4l?0>;gR_JKh|AO=IWJa<7UvR3C*>Om&k>F_YJ|DEP;8c01qA&G-1xJrzBQN%U zz@zuVo@AutxTZ0jgbT*uvC2dDL|t*sM4s)C)EiBA#|aKSmUX5(UT}J|f8i5^pYR8% zd)WU0FY6Bsb6|H;j0g3D`Lwy_OPm30^?6`|X z-l|ZT{3Rlf|H7XWaB0BzeMi(?0u-02JhOx8NgYL=zu%SZDL>3tTTa#ylIm$o~@_x`SzuvW&tZt;d%>?Wm^#HcJ~PG{bFP!<_izma8_p16$oy6p!vW02oJ_HJ7RL(y&~_u z3-rVLMBd^w_}JY2B9Gqe{l5kSs1@#yOW4G|o- zjNgy(kl{g5#v1BeMTrco=uodC75)i@cq>X?c@l z1jo+A!AAa{;3&QRe5`ST6R-7l+IYcj7B)NUiGWA%#rjApVUBw;C7$J;5*`~~=I44^ zaNDM83g|O29unSh2t6zEw1cmQ{+!^bS3ZyVdBO43d%Nic<+p=y$qRfjhSO{;kP}kk z!3ircP|5!j9tJNV_8j+0z@vW4*sZJmZ6&A zUQ2=70DfI?q8aRO#QqnYO?o(P+5aE#==p6Ik=cE332yt!%;EI5@X-Hlr-}Qk$m87c z`_}#z!-)ql-@YR_*;}|2+5aEoXX7IqDgF_|@o&AX{7=DI6o{ZX_o3icrQ6!`Bf%~E#{9M)2Rs^g z{4RcmTsKwanT2hl|3q+{U*2y0m*99`uxzORD>$caVhB+d(qPD-K>B|?~5OXOSx{g;#OW8g=3E5C^Q(5Zf?M% z@5}Z~W<=*c3wYV@ngI#+d5i}u5ryoF6!LUWH&5m1J?0nwGT_ngS~X(RSN|O6K1%lHJ(I3*?x59&WnG7!S{{-jptxSRY zUU56$m-qTXam&I3|4+c9?`YLmxBVDq z*Q^#Ea;5xvoNGiL?ZMZV`Au=OUW=dot~^X+7ARgT@`hRxl=j|6g#+ z-Zi^*x8TIwDICTA|A0sBhQFFEUhMxDdD{nK>w9Uy%i4$Xm~`97-CyR{!g=NM460Pw zdqXsTQtQvx5vVG-ZOb*qsG8#BfmuFcb-_`Sc~18K3(jsoACEauaN_PhFj6Dn(fguQ z_uG}|2UwS}M8C6but4iIlyF#q)&!UvU&T zldmWIcC45c06RqF@d5bExWu$ialVS_6-Nk8 zJi?!w*iiV*&Z4rSJ5uENF6?B%|1UUM&$gY!9j!dfCsqKyk>Erl3A^XH#=?X5fxsI6 zf5Fju+4+wDUwC|8AOW$aB5&o1Oz%2YaI1o8{h^uQ1U{R}6Cqcb?#wiKY^`cEV%PN6VKwU*yrpeEvjxl_y|n@!Shk9{;m# zyyzgfg<(zcx=?WX1K}yo|5KbgVpa(GV!=@+&9mYz5qvLCrVBywvh|VTT>P>BKgdVz zNh2@>@c+knu)OgXbrRgVvpME27o2q*yCcnAA^cctBsw{FrQkR%?bs1_mGWSn+C+b~ z$fJdrn&7Tcoc;N>USFFE=R0;594*$ivAgR8w|Ip0|LX%Dt=DEG+Cq4P;Pi7UL}j`g zg@@td_eXURoWbJz=S|9kf57}dT@|;q0v3#J!ehxmmM?X)$TLl{e&xFE0gvV}!Zo&x zyIX{ZGz99mvj1Ojb7PoYd7I$WDe(JFdkBs?W81ad?Si9C`gNzL;3VJR*<$~Hz@v7y zdD14DUV^jkFibPtor3R`$Nw)l55vTr3RIr#JX4_ih&}5N4*7X&fv1{9DUB7_uYk$ihO?Ul8p4Hdy4}4H?tL|fYu>%ChNTEaH{}-GZMBcA8 zNO00jd|p?f;AA=Ydgy}#9zCa}DcZS%LsH^7?x9pXJm=7uyd_>y|5xPg=`GGaTyXNV z{P_?g0v?Sooaz>CawA2aC=vb>&i@k}H!X%b`~L;Evaa@B9ueI39ohQ(sN$s0SU(vZ z@Ur$XvkX1wF_lM2u>7CLMIODv3Te18D$l+(v)9H7ZuQXZg~thQWvNVlyx?A*=X^r& zY_ttiu$~Nf)Sj$g7Cv%M1-#sQF`?wTr-g@c>g&QhBRGqi&pUipaN7@Nalq#Ux4J^+ zZ+u>G>N}7sL;hdD%bv#P{?CXibV^#m{15Xm1c@Mij z)4d$S*}p-cZhOgCM4?5o&1H6xDOb}(0@JnSpB^IT^Njuztcm1ik#?sHyjc8s4g z6g=phm^_YJ=EJ#yTl~}tpL`}f=KnFj!RLyz%-X#DMZlx>p?Z+HbKE@Tx8oJK@}Fuwt1SbxQV}km>ij%cweui%X9`#%ETJq=Si#+;+&&OCG^41QRsP0?A zaUbG;;QT+qZBnxN;d|ltRxA4F4~pA{C;G#G6h{rQ{`_Czx4c1f`2L^BTUwm?KNkv) z+Jz~{{{MhS--T*n=B{>&l%ISdE1>(6;N)+Rah>CS7JlYQuQx6hd2?4|s<{7&Jl+{B zNc{f+kDiCBQD&~Wr6NzBy_KtS%LK>$?8o);fJfgKYmLmH9JfMo>^M_ER|?Mjv)BJG z{ODs0RnGqtob4597JvCwcyLo;K<2pBg3}HZG|F~sgvZoy)6ahsoG3ej9Q*f3AEYx(jEhV1jwhImq7IvoFkrK~v zJ5%D+|5Y44+!Bn61!sOB1f1q}r^K^eNlLt>+Y|6;y~CS>LW%!haMm5RYBMmZ^1u8= z@_v0`KB*!&NrOILrK;do#KH86Y5|YN9nWvmq^mCSIJJEJivt2)_8l#;i3#gK!3oz; zFD%W~P#lHN>Y3J5emfR~d8wA*mi2D_$%BN4<%I-`99LW9iFWwsJXmm|5twrL|CNUq zwsBEcF%%?KjsAuU0-m<5sB~Y|5qLo^2}d-xX9zR zvGPam2*EuM^JGK83CjC~^&=H0+GKIVqXHg%U*=A$xZ;i$oct);a^@NdZhj#fkBw8} zneLc?NBs@=iMJn{2yR9kujQHsJnH9oLr_eeJ63SkS-=0Yncys&SvLP17x1$8vW-Nn zN5`wY#XPsTv(e4^+bIE$+6SZ9 z+*IyVktYqr`dq4$vX?9!!?hFKvYqVvo-aI1KNfm$ z?FA?NWd?@3AchlH#R1eo`5CC@SG-VhJGYNnJ!%CgUZ;by6M%u;rCqE;ws~-&c8s;1pf*_1CTxoJqht zdaerizWz@hEFJx7mACSPe3xqkr}f!!h5tV#5BvWE9*t9?q&9uJ>y*a=wDiO41*hG7 zUd;`H6W?cGkpCa>==tsQvU0jEf)gLH(1W`vhI5JT@S(iw9Pz!d%&Z1;4v9s z*{-MHOk<4fYo#dY9?hJU;4zx26sQcED)S{v}I(wKFY)ITED$l<(b~h5qzJ>TRNNdtNR6K zb@AtqJ|H}_0|PSC{Us)kVZeL!72N9P*gVruaKcAybRqv=a68?|?4Sn~Cs1l}&jA77 z_uY9Q9C-s%;+bxc@GySuI6_yLQa;BG7I{7jEkXTX#hIUNJ$)zzZh3J-1!obVP9^#O zf_r}O;Q`KuLU?e(`~6K%3J>cnrATw!QzCEs5p14+T5!A}Ha)m!VmzE^$prDN z;P5a_X1eEuhwUK#{Ke-*o_P$vF6aM=JlWEW820}QPA9SSVK+f|=(Tu=$^RGJ)&)Dz zexmXarZ7MJB*8IS?N|!;vf$=DH$TZMg5!tral=<*_}=sBUkmuYeolWNF!Q?LSfRGV z)x9A+%>RC0_M0Mab$cxy{g&ViJHL_pZQ(IL3}&eNtKhaf!p7;}1h=XfCjXA$mJe_G z_TK{@y%+6|UYFzkAvn`B!zIhTD?GmZ3yQ*I!7V6n_RD*MqYRL!LH@ts*r7h&_krLn zQZ%V^Qv@eV)$d>Ur{WaZv3dJL!OdM{`twHtkKWhpRx$zI$0Cnb>fy&uOM^?wy-loIZCa{?ZAC zk*C-e0je}NPjG5U;VQ)cuRH|NOkw@E$lLd|yr!>Ip3!CUUki@k*wV(`H^RfLK|Vm1 zo3A)wAG5p{2+nxHub%6^jo~4ipM8`Tv5Wo?BU9w@`3fFKj{jG2qd6M}K2pZRr*Xjylf{k97Bw;Ctoq|Hp7X zB#z+4DRKP&De-i-L~+zu>nBSC9<>AY5SVcB{|ip^!tak>E;!wRPtW;(f|I-C<7+De z9<>Ad19<{@Zk5X8)wTBgCE(Hej5Fc4D@_AHkuz6#H;AA)Y{m9;FmZab3wNr4*7qa-~F2RXTSvfmbEVx;rHcod7&b;d9+Y-SsE__|iJ%W3A zez#O`R!8o@fUm~?@)vza?{{TBsS@yLypV=($8fl+f)g#qAqb7&C=Wglzk0x(B21tYRty?{sU2?riZ>i@*$39;e-7kOqAua_PsIJa z=dq)O2R+>9+c#2qyg7CbXk(FQd7(fF`TvTO?O`3OiQo)7zi+y!;Fz11j^U0Cc=Y^y zU&_g3x@G~7`Ynr>sn6~><+1JZ{O<9Bla=Mqhdv?3&uosv=tRM-_3gW#Bs>I*83OqK zMc&p^bF`f-IB8$#)#U#RZpkgUI^C(lZ`;024?In9JB`-r5}YnLb|?-|>i;S~jt|qL z&J=lz+uA(bLU8O0Uw=PMaT3}r|2$oA>z-D}AS2*q-^=PYpm$}8Ji%W=`OdWzdGtLj zzbuy}xNRe|gF3V0JiZQQPQau7z{qc7oyM&Jun$@%eg`XA90G zhKHW|KY|la@p;#+1?Mvoz{dYCIO>LvzqAc_)NbVF5KnLE&Ix$*UevO(?Jw@!R6Mlj zdBQ_p6Z3zXYbWw#^LxL<`6_RY00wY-k!P0o=ek{>^0wg_M?eRWC)o@K9RB~9Jn9Jp z=AsyGb|U_N;h}1YpI0wQDWByoO^H+gC*V=Lp%0t8(REaQg8P;)+DUMf4NO}6|H9AM zC7#>TT_HI6MXcA^?n>dYw=#R=D#1xwW2935M|kkPv0pydT_f`F&t<0Xt~_{4O;5W;aC?07o82ln%|-;9{C~mG!u>(7 zJpvv*58vHfAMSRM$8SkQn)*K?Z(c>)FnNdI@Q@~t|38MaZqonnRGa{wozHhyz$5*H z=r2nr^?wv6ZP}iuxA540E~`^~kIGvhmiEtAd6rXiFcpYA1)ltW;kWv;HebCUIP(=6S%!O2cu2qUb&w{+ z`v}goioX*DHThrMZt)-qM0t z2dBp5?YPyJ?h}z`H1g@4`&UZ&boZ&qTN=3K)l5@)q7m#ga??fL;;pv6%usnt_oky1 z#c}$7mYXR!-4lOQwwt9m!Fr36&K4Z)9Cb3&%?Wt)y{KzJek|wz1w86MK3|Cb^O?#s ze_9^t=gLnOpq)?lg~~I$EN^F?;Ft>-a?X7j=Rv{Eb^jK5!ZN0|xUU2!j^^t;d>!!U z`Eg=cd2RQN$eVw_=EL~`-#3m(Xl7nrAo9$6KJVyT!SNwkc+h<(Jaj`!owRh{3y$8! zxJYw9D2}m!BgXwl`1!tGKl!iVOiKQI=>HR(dKY-|@c#!qY6r{GFnjjLfS0|ml^vx) z7scd>S0ewD$n!irf2R9ca9RPLOt)BZ(#p(X@xOpa{mrZqTX&WSPH*;k4oj5>b>7aK zS*AGkOmHZ;<%&~R99`e7P=4IBEX!`C;AE3{f9xv78DD0P{3875OPrLH?tWEy{90yM zu2$T5=qGE0hh>MjSho939p>5!SO#^SjMf5@o-!b?XXVdnM<(v@&5-r>JL`c z2pYFucxK*~>D*XQWX}3S) z@>nD--8R9Q#Q4i}+l7bC6#k&~9U^bS7P#FhxSfV=f%#p+!(`>_&J`=p`ek_wyM@Q> zEGwK^A~-*bzckD35u9m&l+helD*X5-{dv_zsR!> z!ra^L5W$JAvGIWV|BBNswmL-{{z17J2KHQF&!cD zC<7Lzb`4|ld|edBBSoI)_v`pk0gvVfvffQyaz~52)jc!4u2GDi9r^UD#xWc>66?z` zg5!tugH zLcpVOWXB_zy?mnJgaJv2r2fC+mcGh-)m-?|tBH?iyOUGN)2~huoMJ~gmS=UU@>sYV z2jyug@s{rN7;a@evfUZNj~4Ftv7RY7Np9#r`2UrMY9m&FGEL;k(>Aw(OIMsc4a+ah zP#(gPWU{+Vl_v^r`^{UbJV6#RFI<+$<8{ih?~*Mzo1}c5haAD7_v0~FaSN-W809I> zG-LJL&JrAD-uoHO794k!uYb}i;L$i`{zoGw|6gzm2N9chZG?yEfx5EP|BuUif6+N2 zZ$TonJI)oHI4>b`{Qts(x7Pn$#Gi}2Vs zJ`0%LD)Owq%uCtsHo-Acuq>(nFSsr5wlLo=IL=bRbPrT?{QrUzP4s#1_Xy7Nj=_olKj2Y2o1SbN zzzRg(%CuN}_7U8?hqiD1Ud2(zY+v4ef-}dn^#K3B;GTzedm!M^^VqHcwzRmvh&&&K zkxl-;$m93Gt<}=?i{X4<*5&@n!?I@W_MqU{Wvp!E{|k;g%F0o=fr7KEjZ{PY{{fHm zE8-NUPP#&or>q70M5zBSxb3R4^=?SO%i4j&6f5BJkl>bYV1+n`3Qjv9p5cZGKfZ9E zCplbj+iqxn?-9a-`;gS@G&fS@EnZ;y;V8lJ*7@=Ku;OT|)=wT0oa8G^F#P|5n>J?O zWpu!!c0d|cIm11c5>IoFr^H*jF^c17U}|+^1xKl~P?Q@dxb1GT7Z|TN`2e;MJ|Q^1 zM$340PX@efez4=A>E}-=&h`}B_wlsgw5OG;bk7LCxzktx+_Q>fO_@gjoZu+Q_#rv} zFW^!CBYI!@a3(laxzIN^n;bA^Rqs(z{3Qn1ACe}>% zmheDs$8)*21t%$vg68=D6(_uD{r_*mZ(dp}1n`c?(|de9sJ{!&IJMVx{}9~b7q*VP z8}R76XPe)N?><@Ov5QTgc~9h7Wz9@+?~6R)GQW;|pg3xm`J<);JQ~03-tp)4{8QzP zhj#l=yTJ!46`hMUMMKnEsvHSStTsJ-7Q9D~w2aoAy2oF9~rfBN_2#+P%(xz^v;HcqjILvgj1gD>4 z7UTaHoa{z2l5*XgfJfuhiuT+0og2pqP~ra<9H+G3xAJ+w!#@sXp07pyp8!PPm$U*b zgLF4fd06)C`+g}ndAYv*|1G#}U$*?TuN0>@SiZ;C0WbSq($H)p$2Y0u=@0V-C(qU= ziY*Wv?}p#k|E==leXs`lPUO9tf#>{QmZsW3Qo_QvWBVe3tvK$fIsBp^*PC z@)mcng!qMmXV4B-SM5jPF{cM^NViCEyy|{m*iV8p4S0Xi&w`T&V(vh-UM6^sZG+=?mkVxn2u&|tAvnct{QjDig43RO zq?}tNIPNq%j==pA@aVnh4*37m+^>SOt&RH6X>PUP>>n$0=++93v)b$b>jWnml?e|2zwon+U^ivE^&(Gw1D_|nLFLIRumqHiDv$fk zo_~|dTf7E`&St^Q&uIseZ4sPhIn6d;Zw+`fPg;NG@!g*RkLD{gJIr3#7ULlUix=K5 z^1Q3xPqahiZ5>AgaytcQ`lKJGxn06T9;RQHi(~Rx?2~Hgc8felpC2zJg5%`z@!vgy zn;XpL!&2o(-SY`Cp<$wSpgS-%QU6D9&jVgH;8DNDnP4lJt0p-5Gajj2S6y)nKcdhd zApE3D`?@6uio99TcHlt`kteE+haUgG;KYjU_$F6NaU2KMuMSdvJMRq5w6@^%AJqSB zcd+0*50+fEt0Vl(Z+^c_UBPX4kl8Qw0v`TxmhWo)@Q?sR?a5+oTglv^!h=_fsR{qT z;H;1ST;2M@Ls@qUisiWmf}6gFf$9!doOut`)E%KXR;cA2H4J#vPtcYu?bjVCI7$}@ zN!0%l9u`dkFzN1S!P(b5+2NJ?~iRPxc45?aK{LbO_O%ONfVK`xR2?*O+}vH zWd_P}#|m!yC@IC`nhB4&uPiQeoZvo;!}mR2aP~%fzxN4(le^^eNKXuS^xYYBB%D$I zN957{nOX7wt2~CQ(bH7sSq zoh3Mn1wWnV&K4Yd+%hX&E8(}g-`1a73y!zQ*YRs3xSh^rhCy55N8R&<)Xx!lPATwp z`OX#GtCP&1=P8fHo%w-wBG0Z=rat`tBG0^PA!*lM z3J+dO^a|?#2+qf~Z2|6L!L4eE*>RT$Zu|J`c`glj^d0H_zTV?yB2O7(OB-<=RUUi9 z25_g8IQ9PpN5A!Y&J~K|7P1YER|?K@4S$ZiN^ts=KREX4fbSdE40q&=Ek5hCO9B01Ii@q-4LA`KRhMZyHu8-r4cIR#o9@_Oj@hzFU>TZwm+w9@WvWgo$D z;`#kV_X^JXO9SEm7o6|q+w=Z_@B3b6NMyPPL>?zIA$aot6{nn-?K|r$JnW+3htpiY zRPyxa{)$_H59Y%M1;aC1aR=TPQf@sjsIoSa6ga zrd;QS2yW3k>z@w^&Z6V@H4hDV)SjkqpliBeB9FPr782_J2u}W$KgVQ*;*2hf=Z=i= zqm9vTM~OVnYBWdc{|iph8(-)D5yAP4RA9pYFE~y-A5R$_@Ur(}SlE2~n8>45TNu+l zo>D%`jS+eFt$PpF*nmg#4|)E4E%N_`$Hu8`upcix*yBuy)c+TpT}GI+rbV`ssArL)|{poJtH_l7F;Xj{|jzmVbhnM6Mhz1GgaL4B9HOQfW-eVIMbmwLthjg zIy3bFIR960_(^3+b1w;x<@KRfxQT-El>XenNy=k(909hM73XQJK*lS|!?I)XxK{-y zFWv7Sd`)<;v#4xJ{=djGR=j`y4Uxxt!g$PdZ;CuRBbhs#|EuzZDJ*{aw&KJqvGCkq zg@<__2Ppo3!CCiN!N~tt+zcxE+usEzYr(e3x_<;b8ZYMcK(}`93T}0kt$x&G!C5!y z5Si{h!I_82tITlk2RzbSu;c7=xepX)0GOY4itzAK#3?e|KSiFZG^l*|{{_c(@$2SC zf|D(T9*+NCaQ5#o!0`VIPBw!b`{_OroR`Jo$NwMjsNLu%oCA{WJ{5WV48E@8G{tcs znqPf-oQL<#bTd@mtZv3#k>EHFy}x~?@{q1;4(nMdaq9oaa1uCpu{pxe?|mimX3tu| z>#yTD@pSzE!h^NO&OH48F?q|s%5e(>w>lfPFXmg}!8o$;g8MGu;UCBRhBW^FI1m1} zT=zo^#}kje{GWhF@5{HMfvEo@IQt6O!hru@aFTF10FV5C!SO2k`TWO#NB!B zB9Uj%nR~$fB)EmwtX|^Jf^)`&w{sT@j@IJOgZQ7~Od4j#EeUw^JbXve{Bzt=k+-Zq zd*5Y(<6p%?fd5}`)&yUlaE0=tSXiCpl_Kw}SMXk|1h;((rf2>lINB!(#MJ*69QTIz z|Ew0A>OcOxwlx8d-WU7YDjvDtM4sT6KR5h$!HM?yeQ;|9CrVA=korHVaQgWlsc_nD zz2MY$^>+OR#m%r}KHMlc;W84H@c#>Llew+$n*}$oknJ-r@3+}1IQop0sc?S^ zZo9v1fNc|;@8bRH+XKF@or%n&AMOyGWe~Wf+o?S0^OlFROK{6#v2jtH3a5Q`3vS1P zSw3)y;P(6$=iMVX;mj7>%nc@|Fy5d3V(W zrW;Og)u1#g5E~LjoTDaoA-(PJO7z zvkEeAbN;X3%x@gXm*eUSZt*WG?AsvV;U8z+(CoXz1;@H$s-gam;5h%;>P!B=;9j17 zdt|_)?@PWArB|}tQHnGDn?iZC@Yp|bC!9xFJjqd)(pnc&!!X6Cx%l;0FM{7%OUPM8ZjH`kpYJSbg0PxwTU zM@O)f0C$q&*n_5+Hjm@1c;x>Jzs;ZK?>a?rIwn;hNHOPc*+zW+z-Cr zwiMjTf7-t3Ea9*S@#v8MFFg1? z7}pu@qJT%wNqhSB>tf|0FmL{iO9Z#13)7P?72L0ye8YnMJcPY;HRx2QKx8k^eY+qGx;WvMyZ7jb>aDw2}Magja!ox%Qx^M-8qYwKy zOCQ0B=lb~Oy~5AuqCZgoU*v5QwAFLCKPHbsg8Tz9oWLY{=3i3cS+1|(_^;U6mg)Kl zZuuK_K4brYhkqRUd6wBJ4=Rq@YwP9!<>9?pVcbB)8FywF4-y{hRHhFX3Qjxwb7lt% z56cCaRvB(cz@vE*bI`h*dr0Ih9nbtrLj@<#kcl30#dZ%1&a&wXus#y-@Q-6&va*!!QNi)b`FUV;47bQR z^?w2$jU#>+7Yh0RDvzCI4L3&Qd49TojvE`tIZA;1f8k*q`2s8B1xMMlFr#}yclICX4zG4lTf$7u5N&oj!;LPF%tJuC7gvGB|I{{<(1+waSJUT_vW zuUEeyIJz6IC+hzT&Zze1R89zZ)c%Y+G9|OzOCnDmTCU}LOcb0d7#svn{r?yb9g8@^ z%OX!Z_X!4cdJSQ6iTDq?VxBO2_Ec+&ovu`NR%@26^$60*P@>>=N&SGj| zF88hQm_9?7bKj-J)7|%i^Za?{fBr%E*+=j9!Tl%TW$j5_5nE^fD?IpZa2vOD|0g_{ z5q>}NLXkJ~%ML30QRT_&FhA!a#raz1U;0UKRtp?q`2PjRKkvuaV!_SNVDtR{0v>%| z+~mafbKH`ENA?lfb^I#%|02(PZl(F$GQpV!2yIjUM{wJBZ;t5|ieqn@p}10U^3ZH! z$*O>de;nacei{G2;FcU{`oph^(^1UcS*^IW5BQpZN9{m=p!5*_f04KPW0v>zyWq@9 z;1j%DeFj~e;t^>Q=^hRH4}JhRg&kR1fJUAdbxI~Fg^}WxW7*PIZ}?( zx(Ph>D#>$50?(o0`u^VMu!Q^TSMoU;B=8&_e~t?M?TCc?8^-Ui@Li5fxc{hx`;Shz zzfrheuD_@Ju8k9Tj;SP1lLVfomE<`#fu~uxeptEn;NJN1?=IX+z9Uq3q`;r;d-5Y&woL$dwch~^?|(_Ps@b+v%>YH z@0p#zlM}9&YljN+MsC9Wc?tKQm2m&r3HP^3xW9G${tDlrO~UGN#Hp*{u~wB@w|ll+r^(FrM_@}0#Ex&@?4O>(;-~nU%$98;r@#%`5YG~ z@LWsV_&50#;AXk5_HFlY zeSiJsmW2Cn4cE)hbE)j(+Y)$s#CcM-$L$F`J;U|=z0Vy9_xFlFN6LP3X9CY%mE^fQ zfv0!4Ue3N!c$86L-*~$LlW+P zC|uv)_ZXUR|FCeqT)#-!9>WuOM#Oniw#Uc>o>AfY{@&-|g!>9mXW^jIAWkxCEZ@;rjmC^NED}pN!vMLEn8U;r^$?^>Y0yWqUl6 z!1HYUIV#w3&n4Xde7K(Ee|{l>=f!Y6>3t?7@Vr#X=b4zmGpUl#^Kt^uE8%*%eo~=* zUro6GwQzlZcKYiH_rDRYm-D||+vDDQAGkFiTlwDnTY~%Fy_vxCR=8g7Ju0kEZztUU z*ZBPv`upD!?tdp-PwF3kPvH4SxW2!2;oXG$Cx`1v{r$ZJp7+D`a_w26Jw8ade@eKX z)E@s#;Q6qUJRc?Sd>pRt?|r5w-2X}Z{tEr;UkUer8m=d`$Fu~V>G9{N@Lgsk++P%~ z?{B=$Ot^nmxSsSLvlDpcgzM$LM}_vBn{fYUm3)rR6L`Le^Q6=p<|Xia8LscIUH_eM z|5x$nNV#5qoxt-=xSllr=O^$i2-nMfp9=l#+l2eS3)hqS$@d97Kg4-bexLs&@ccK< zld^sPFM(%axL&SZD)ieQ6YgJB$>;bff#>INJ!#!soWS$HNl1i3 z#CcLa&&C9vP2qaE?^I#F+MICzmiTj|e4nieJb#AkN#k-`0?+nJKF^K>o}HEC*_FUk z9Op^-opvYil*D;bw)36@p3-nVshwSL6zwk$q)ND+v`$q`;Hg$gp6Ura2ZZbU(<2T{ zxW7gvpQC01PpwMw9F)LQJ6zx2xI8%F{yOpJNZIe|Ch*itc#cC7?mskse}#4bu!Q^T z$M3H&KQ&0W|L|}( z_c=D<{$>gHAD3|d@!@*Xe0D+t&xzr>`Y%sPxUYG*Uhe%X^zV}s?ms15FV{a)j?+^U zcutEyM}={6dcyr@B;0>y!u>76^>Xi#a(zlm;7O13q->9j1fI-rz1(-H&>k%l?#~L> zwLfGh+?NxsC$&Rv0#9BgdCp4UIXhfW8Xv6^cv{DwC*^l(lfct9Trc-sDvXzN67D}Y z;r{ay?r#^rze2w_KjHrN;d;66o3b4)NZ{!Zu9y2R=cdY^yD)+0qHw)jdscX#ixcj@ zB;o!`6Yjq(TrbxiDaU=s1fEWn-%emTN3WSHC#{n9=9d%^hkJ)+Y|2Z8LpRW&y@Y^js%`w;rjmUr8^VuzbjnV_3`e6 z`+A4#<(@xff4C=sCqK@UvK2V7Qa;bU2|V|O>-+0p_b1%{Kqa5!F9|$-6P}}A z!u|cj_5JmW2NUieknsBh6Yd|BaDQRK{e$E8SI{qpB;5Z{{Qe5->ClAxhb7!UJmLNk z;d;{e7@5E`s**epC-6KHuJ5m3Kbmm===gJ_9H);Z@H`&pNjXl(B=C%l^Q3&9aS1%* z!}W6Gq+_r9@6Erjpx3?Kdr)^E;r=J%&yn(do=V_(x{^H4B=9^NuJ7+VKbLU-^YQ0M z*{&}n@Vr<_o(Ty&FIAFfVgk>kI8Vy&^l}2vD{-Eb?el5^&uej>l+W{e0?!+jn>=i@j}%66Wb!1GBZdH$8a^Jyh{rX}!9kMpE#pBV`}MU~{4 znZPqET;JckK0D$5Iq~O6`JLt_@O&1ommA*|*2~Wm?*AfOFZUi5^tyQo_kS7x{R;ET zzZ35ND*pQw^un(b?*ArSPtxn=C-5vtc#dxq?*A^~{_hj+{~_W2|0LZ1-*7#t9sVzY zXJI9IeoWw5R7swn5_oUzTwH@^F2Bex4Nx_pc1s z%YE0B^WLfio?qfTDd(GC6L?mK>*c;jh52Gl!u`L+@2~JZe^0o7ZMa^pJyO2Mx&)p- zD#^1xfoDS{c{V2SYzo&a_R+7in+Pi^hzj-0ydeVDUP2i~(=SexAR8QbJAY3o^ zoh!@(2PWKKBmNvI$8pUBo?4aUIVgdrb|rZZPT;9iNuIh1JoUo${k88Q3HKjb$>%sM zfv0}Lb2Lb}|L|~qfBNYW3HLXQ|9*x2AV((Le^j_$Zrr5o??)%_G>Y@2?5~Xzc#a9z z%YD}h^J9~Q`*FP%Q4<{wu-#lC| z*Pa#Tp_3EtKP6mGYL8PBcutEyM}_Ztdcyr@RPs5_OyFrzNuIO>p7e0NT)Vcv`+@s< zMZ2If67J88KS#>`(K3N2D_jrhmA+nEM+z2ZC)}44u9tiM3jHEC;r_gEJ*i)umB4d$ z{5dN0i&hEux31)Kv`OG;8?Gnq!#F2_=iK=7r2MYuCGfPXB+vN?Jnh5vr1uSebnQ-4# z;d;{hU!A~nO}Jj}{VR;OYZLD89Ilsp{tM2#+_~!#?z=wWcW+3z|Hg2=-20~-S6vc# zZmJ|t*94w!mE^fOfv0<%C#Ak|O9IcWah{azb6WyWk2p`t=ea$Br)MR3?nvP26|V1Z z-ncX2{=35U{q^^|6YlRFu9xd~Dcj?o1fKj#@)RWS^a6dU{|M>5x?C%dI@C>LV&%gwpLE-xTzDr@k{e#2xa(aG+IK_~J z`yYzmU%^fonsEQHaJ}5~SI`HCC)__GTu&M&BNKQ=#h;_X`t)$Z{f{Kv|7gPfqr>&2 z_joLU=kZGNj7i`LWpiBgUHWys>8Jai`d{ZppKZFY`A5BfzJ2BEeZK$kqnBFV-sqk8 z7yStG(KXZZ25tHKpRJbe`R>cN229%WY33)-f7tw;S0>zd*UvR3l&-#U+PQT3D-SXtz1}8+U&^Z)vll5xcVo)+qUOW9uDlcDwDZhc|tt z^vIp{S9KcScG#pj1C|fkSh#qwYxD4)W;@b$br{!l#MoB`H{Mxm#|gXM8aL^J!UK0+ zzoYT4)#JMjX)*iRWnV2l=DeK;ZGNZUlB`t=mp9sY*^ZnYef#CMs=A zB~5NCYI63nmo}c+FK1ef?HxKasn-ANV~b0UJ7U-S%X4#^HXJjmaNw$1p8v1Z4| z3J+U#(fH==CN}O^<*m7^Cmq!P&c%}s>^QpctlZWUs?4w1b71s>+d@Hwxw;q`8Iz{VeM6CjQ@D(jjt^|aKT-p3(wyA^PFS8-SF_V z`kUt$G@N?c{J!m$9JBtR!cMEEFYC5^N$%1b>qi&1o!YjQTU}%Juy30lT<_e$CvWav zFmlKrJ%?w`dcNAWfk&*me)-)6f0?kL%IfpmHk{CCeznz~4ca+w^{Co259qU}`Kl4i zW*3YfQnKap2L02g=60!iX02z34jy?)jdg2V44ZcP=6mOTHRteUj~1M`xbsmvTNE5V z_0%qPwqMhsYqfW4Eu6jcr+K{0cav)@9Mx#qz;;s)U3}y{LyKRS{Y}+vB|kLoUwiSw z!}^~#HEUPzaUXxS<)>FRw7sM6kh5pMRM4$wtI4%@-88=Muutc-E|}4LaqT^auO7fp zuC2DceNofJO`8l^U1xZWS;P7i)@;?F$+nVq1-~pUSh`_Ny-^)z9^a?1L93&i4BK++ z@;+wdgRT>duQ-y)$m|$b~cSTK>Ss2m4i<`0=4TPwJOB?SLf* z<w3`PP^?j|VM#=Pf+h-LoueR~r9fz!M``GT90~?gwI&bWp=F6VU z9ehxmI+JGYoHB30tkvHYxo*Q-%zAeDX;Vv29ayJi?Z!G=^N%Y!VCe;=9cRvHyZ+U| z^-792R@>Ti_Sj`#`JGNDo3EwU%JT5nV!rVn$_70u? z2j#vorR3^@J9`%Q8uwQFiFG^H>shdE;03FmAJ=o_l$qDR)Ou2#`E^$Vb=+RMp~i|X z^X@x)K%07-r_I|kYv)UUG(4y4A$z`DRM>3lds9k|E4ZR(@n_>2j=CiG=N5bW-kcs2 zrWeum3i|gf_I+<^#_rKmws$_a>*4*gR{eMR(FK=HJ)+Cci;CACJ9+dp8%fL76;F9( z%J!^#KU#X^JuB`mI%Vc$2YAqc6f(bue~%q|KQE<&--H5%H_4@Pn=Y zy0K-ye@)r`&5)jF{XA*J!0gR=^Hv`>Y1F_r(_Gh@ErvEMeQ#a+()`j^eGXYSwpVdc zqaU_yIHPyzUA;?BFKJbj^T7J;Z_Y1S@}Fm>pR#ShRX=aI?0?$_T($axoX-mLf1k1L zviHmWTl(Tz;mY2Ni#J@>d(n%x6y6=e@Z{1~mGI}m3p8nTAw!it8i+e73 zYiN)BNB91R$bnSe(wXVFS}a0XV!+xUfL^J z9A1_O!Sbqji2Htrp+hLd-k|)zph*TY2%W^*GwMX zdDc72vo_w)b3?b)>$WUBe(ADxJ0IV8($<_gH!l0f{E16P4m^AFF&jJfYdEdZl9lU9 z{Gz>M$dv8J46iq9)bisuUa{l3DGSaXv%C7{C+Br)*7ot;2M;`=O^r#TTI3EWZNKW- zaosK`JYdG}>x%z4dh^=(OZryZd0Ec|OV2CK9{9zgEq%u?ZCBWIXSE&8cGoOiw{Go# zp}SAneQ@FWbvql*pE2XvHAUy`Il8b~(TJsa1C|b0)pXq8^Y_%+*>lI}DU%j-UbS?> z^bIX~mXDAbsE*GWP82RYGckUoPrXysK--J_c(Iocin%T(5~;k zznmY39(K~r-yZpTtpks__|{8KetY=F{26}~O@Ftz|ALyCD{eUd)mLBr%fXM=|8w1> z2gbks_SE;M9WlA^_X|&-{7Q?rCii=^;PlD26&=)KX6;Y9%`G0isKqNSKKp9p39XLm zH0!FJ(|T?Ft>1yg&u_hc>!PiB{mz{DMajSiJ1?%&_lwpAofg;L{`sJSr5A2oyLMFZ zl&0r2y|C%<8Y`QPU$*_L%a=6zyfAlA^+6{z`K++zpo5!?{$ly2epM$veBa7ex%nsT z`16<7R=?Ho<%V-d6m;)Wz2PqqGF;JQZNH(LJr)LPpw`|X=G-yA<{(t;z_ z-S|O%`~1uDhyDCPeuw-{8_wDA@Y&1fFYY_*=Q-zYs99sf($|VQl@8g{J$J|251%YK zbK9qznoMiBVNUVRY1IZU>9DTtn}g3QZP0Y?sHtrq8~a|{i`!mMdhp;etW_%}Z(KNV zNuOP{cIE82arZHMCT{Pz;;J1j+YDPUa#+#e)oWI7I$+?T-BwI*x~A=luXY?XC{mbBf` zZCmN`Q9BMTd~DLPo)7<#n|t&Z=MSY{jhb{;gRc%xsKZ0>s2geEuj{$EueOcw%(% zf_Ae?8oqLK=@WYnFS%=1c#CaIzbpEp`Jzd$PI`0FE0aE3y|MrL7RyHOIBa{{Wlh`7 z>Q?&I;%>7#e^PWo(U|=AiXO>-zx0tknI#Q(P2Q2S`|Lf{N*~EzdG?MoXN)Rcv9{#J z!lrF+F0Hrc*^d}94)xFZ_x3JkIb2MS)a@$ z`5p5gx^cy|Q?u@wQ{4NvKi2&5+c5UT(!#&!3!I(Yf?SNa{fea@zu+m7FKa;q1L)BBy?*`i@I;}1|aL`GEj+ppOVcm(NS1;c=?PJ&CwxXIXZZE3NP@CFqOy^}!FP{AB z#hP561;*a^a7mb+l zbaBp)MUO07(OE+$rv$f`! z(JPnl$gR@x;rh$x4s3nVnu~t>vf$o5gRc7asufpHoAkoOkrSVpSof`-ldANb`~1`e zk4;(j_r*P5>-k0AkE`c?QgF}uE#GcgF>u|MmDcie2aM=*XqN^JS599swR-UrQyZN5 z&7h;YJToZo!Twzy8q~haBZGQ$88PUZE{_j-;K4c%UiRP_5B7eL0Xt~=bITUoIA~j) zA9G&Mnf-X5`imRntStF;>k(5=EWUQ@|4prP&*+~wbsey{O5as8>QB#{UVHtcpDtfN zZQ=1J?I`}?$t9zUY5w)2i#K&0+{)FPJ8a|4t%fgX^ysMfn|5saP=^&)EFSy$tv`-^ zW9(~V-|F;or@2pVysg!U?QgE=)$gqBnHw){ReQm&)5GMotLm=vrqyimYhkUf|1LbL z>-@q42A$Y-MCX-R(>{J?M%~F@Ea+3(s^oy(#}z-j@v9w&ukZF*qaX9t?RHCPwc@6mdJH_E+h+?mJ}|J_(p76e zXbA9L)1VnMYAh}tR{G1Hw!6n| zZ_=mq$hNZ<%((uRv+IueJUw^r(xoH*pS?d1YwFtmfblpW&N!o@P)D2*P(cM!N9u?} zTidFnh=|mINy{K43L=hBs}`+DoN2GOQnf9y0%4{qg2-*bTO337uN|bZvRugZt&j9y};N5?;T}-A(fPTGOqjg3iz$ z+vbi?bDauR2FEBU>dYD@|60CDFmF!$)B3P1PMU9zEju|Ud@uPX_>SD-&$;5;tE%v4 zLB_g__&4`6Z2N1YKH}FNRvi-zRTayp%5Tee2^Q|pi(L~vGkQ-=pUl@e-Y<)t>eVxOC%b?0E_R>f zqK5X!+RN|rKj1ItpH8p)K60#NT?sga204W)D$+}36*5`af zBh+s_*Rtc1|LH7g=6k-?IqhppB{uty&X4+V#Nmo-Q=8k`+C~iNee*)w-1k=neKo@B z=7(d?qi1bxD}Q~oxX?}e_n*F^g-vC-xnoo7u3o)5<%a?*jgFJ^+ma=De0Pa=VoZIF z+{1lwnSSPaNdgKlc`bV3SXRm%)%c)(Z>eKG5sc3tdffcDWqQc!#?9jYl%`)xzmP?FUszdJ@szF zo(G&n-xOb)s**t=%i3b&g+(H<A;S_ z7l9Rl4Mdd@2nu&g-Eg~*YPJCO=*}#AAd_Lj%&hUHgH@$xdO5uC5}BeavfA zvOm`&wrA|bv_dtCvYlu_r6mQ{U5Z5en<~6HT$=SfmnSMqNBN|5V(r$ooVb+wfL4@f zUd<>(>nZElA+(;F-$;)=&&?2?X${W5EFG0~LG@?*ms#-|6hY;$?(QsG6|$-E zocJ$ytMw-~hqC9dFNpapdQo(ADzTG>>}m_V7I-VL;AQCG)ZtC}4@2!!ZBfMRj2v*( zimS2RnKMMjuNY8y>iMY`>~z}(O?@fv$eJHHU;FmwJ&p;A9uxg(G}>09t+oy26*ajn za&ND_SeNUyz&(UF&c0mR+v9BKD*0pi^vD@$#o7ZN@twpRoN20iSi|?``*051)~|?k zR($h3aS3l)>-D$?9)=-9HUakncgJG5|VPhHNFRpklciM_SD zUp;EdpT>Bl@;mjJj5bi7FX$^xkYm0JE z<4p0B(k*!(h0gD|Q@N+^TfwNi&$1WEe-+rv-nO7f(kQ%U*uq!V>{+Ypq5Canc=YC) zfo_39tL!Nn$C{I!f5;ce^`S)2tL--~IuEp!a&2oyMijgXwNVd{ye$;E=+n&Yn zzseQ*@X{3lLWj0;HOpfNabQ5f1U9#rER=0FqLimpcSh$2N2`S1+Afs&)M@ouXXkYJ z_i~i_$XuIUTOKq&XdzamhX-F{B~OqemyoS#Ueofl`Dx3{_SKDBDp2kdIor1+`>lLX z!?k`B;_=(W63gYznEeC9l8S_)bX2K zOZfrXaT?KAxsol0fUPqP*fDk@KiwRSy~c}s*r6Udg@Rv~t{lTn;)Lj?a1%HUZZ(J2 z@DfF?x+C_5yW5zJ+}N+ zYvd8z##hyG^?5EjUjzv4v%Rv>`9kd`4{kww%cbC>cCNZ!nv!I#&2`p<7PPNd2VA`H zQLkeaih-U7BHSh}ct!pUTD|&C^{ZDud~QAZ^9eGkc>bZzf`_9N4-|{T8xIeDd}G=o zuUT_eE7O;MJ#BT`Z$%l4S4_0MWm{nN()PM-@rr5`U|u%mMZH83=A~_JP{?PggVRgK zMEb6bo*KO?H6ixn)HAVPrpCvvSNm@hp#1T)Q&B>bQv;`6f1*RX>pyCCJ74LfcGD)R zGQ`KLoQ^ewygQ>wd}fSG-W;x-%qjm~@FRI&bqsovxn8Jtix!Z>nY|b3WHi)J##ka1&%1FE|Am4JeJSQH;{;QxE3a3KK<5TAOBv z7wmk82A}qHrE8lmRcobnnG?hIty8b);8X~6v=f3R@|NjF@k(MvmAtD}x$|G@iveX- zMQ^LC(%o_gy>z?oc3Z!Pm${{*O+0jF&Dcz_7A-r0rwZ-hg5jz%!2s1=fn8f!r@cH) zjuObWcvTpO9nJH2Z;o2y{FPTz8!)$Z7n-{VN`4EX@8-E4=Ow*72H7M#P+twwda*oYx5&2jA#W@4op5)lIB^|0utErkfN*ne3a;!s*t)c*J-)U}y{>97M zH+T%RX^NWEjLxJTH>9IIzL7OFH?$0IU*2)9`CJRiH;6N7&KUWnd+jREQ<}XViL&q( zS$j;!fM&F3cbt+A>p%fQ8U0NqaWKv7pRr5WM}IKQI-+u`NBM4LX59~wc1@X;5p`Eu zBgC&FZEBy!s+v{O9x-3Z6fYz<9IiVQd$(_lIju^nl$1DD^KbI=iL~w;RasHK;!Uqs zhn+g)F&e+FNpf$gf2%{2ENbE?ty(#`iC?d-RE|;4;tpn)Yn+~QZVH$4E@}I7M+%EO ztE6_VqMO1Myvy3b=%jN+QmzAM|)-GK?&1Ur&ZK{k@=S0+EcnQK{QM)==8qq2& zK^2XKy5X9@m=l@+^#JV!nXrPFPUH*@sk(DoTTO5mTRB!WZO(yNb81Q|&eh#?AG5wJ zc6u`kBh6Czf7}PDesUkLlDqd(opv9tDs>;A`nP;9%BS->Q{8RLo^^W2v*a;ywSYC} z_y8h;l+Rr4bnMgvrz30XHz`N8%{&ua6wtm;`DKiC&bcPh3gKn0&74zDLvuXt9-bMN zGc21ZaXrZydsi#+>R_jwvDrRH+o(PEw4uLXV$;lunU!}6MQYs%ySuA1iaY-&=%e~p z{+VFG-S{{4(E_jXJ%{b;R|=f>$6c=1ADo)1zOL<`xl1(FD@KE=U?n-8ZHE`vudk^Z z6X7Qs8R0LwQj01YZ(52v(V4nQRgX#<_J^&*bnkhLM%n7a;L)+}_IccQb-Pd^-Ag;} zD1Kbymf$rKrK$_rlf2a2@|)$?%NuhRwl>vAwKi4SKDT|L&sUrD`9>>poz^Yl-y;V# zRn;GCt!hAmV-mCweFFmn8z8;oqun*HrAh4 zu&TKqdyQjTKgp}Y_0>~r9e*lBNtRft<3DWqk9?l|C;0(6nv$~72~Doz(v3<*zfZ5X z$9$YRC@?u+6;_wp8eS1zDXYtJ=Zr`zPaaSgw=ptj$eh!smWw;D3r5dLTC-dnOYHZv z1@m%7rku!^RPB@hDIKpYo2FK`jDVZO#ZrgyWr2MAe zPvloUnxjG$C3&BXk(_1GhMLli_8c@1Dr#jz+<~_J(Fx^}ql+I%;vU_XtdtNd7%7By z{2ZdNA=XB+>=B3EQR@c|af$aGjwLn>jht+s;N9T7QK`NcInF-W5h*;pg{W;<`4m;Q zAMlvepU*z$HK4pW{Cc~3TNkm#6V;95njKxkx;AB<)`WHS&l;AIe@FW5v@G82*zF^< zotbHxK3PLi)_tR0OQe3sGQGvIi<^n#>Eiz7l53J8RW*u3)eeP<`$8Ls9lVR&-VOo0 z)7(@pThrU?v37*lGwndHQ{`go_ITyBX)(1?>bWZK_8UrPb>xUzMQ_cjuFcAzj`F&| zmuzpIJvuU<&X+k=aBicE`T*Tn?s(zQ1R)=-;sjB#WVu)-Dw2rx%UHc}gqOr$-B0Bs z4Qyp6=VvGeba3hiC?{(B^UetKMD>z(g)$LM4zG|c<`Y@JE{=C5zlkWSqP2XZUG1<@ z8LfM)b?V?%>aKAL`mx&`YfEXORMm6gx+#l|Mr=O{I3 zb#0i{ic$mj#ZBRL#EL#cxQ#=3xsTKPPR9q_b2@#h4!MkCWO~Zgl+y_k#irKayjw3t ztDWM53o;uPw_j1tiE+!ZPAM{E2&WS=e5OPPY_r-@^n1v`ZShUN->kY`b-U_X)vc<6 zx1qgihM*Eyl<&Dul-%8`gNr*+8BG3-VC4R1ohV5Zj8}CC3J&T9JQ*taLSF_DTzEb9 z*v6edEF4-m`NI!;FKN*q{o#*30|vh6Go|;f&11!THU9iFZ@4)Tb3T7ko3eP^?9YBW z^Y?Y{LvQ($#JekYESHK?279A|LtiwsldloOoT)mMGpJP6;}oWOV&pw)i(QBh;sr#s^mFqf!#hEXK%XleTd(Xk1bCOED zyfm?0)^eMce(mUHp_u=p&vACqiI5%YF$%QBw6fEAOMF)PByBz#FDgGT|4@#Cn)_@% zKPgRnYtjw(UY?UAt`)A8aFod&Cr6&Cs&Tg|vm31CzHad4Ze!X06n+9W%F3uvxl2qU|Cn>R^0j<#*-4MrI2XXR4ML*98+Vim! zqw6=cOESu<9sT&{wF@-^qFqu`WBW(1j-CPK!OQ%T9!g(O49+7cw!iZ~m6OR4`YCYWgZ7@kaGSR9HUqwC=uO+??c@btly^ z7n(1Gj@&kKOTq6CIq|;ddrJO(!%dPNCq-eC8pJ;?z!LumQ#1ZPI^eOuj zwuWa6+W%C83OIsZDpbIccc*_Udx4|Mkp9(kYa~7nhpp?;2}^OT4%PGRlf3KB#?(&p z7@M5uFLiHAE*V};)Rh0)(5`Y%IJEht&kdjS@?2NxtXdR$+qZcnACk2grA|xpL>aG% z9S|xuk>h>K%QGj8P>a}hEtlJOwe8E>DqWB@UQ(xBpLI%u4&55xtYi(ht4G(8nByAp zhW2t7tuTy09mJo-YHQ^ZpQIaCfL02k-kIgCj#&B*YV>~-Vy1g7*&@rG*8I0m2#a`QzECU0_3mdBO?tp{Tj}i?poPB z(do<|MXN=}G9QSJMBEo8L^OB~&0}YvY6mLF9=7>MHZDI=I<%H|LYU8K2o@-2dp*&P z)+|dB!ja>iCizt#vy*xcpXz?8G>FPP4?1`71Ct8i3 zj%5kqGB2C5Q!=R+drof7d)Y*$)Sg3JvB`3J&v~4K?s;+sX3xqd)?<6l#Oz^rPv5Eg zmtgGOq&@AOz7TLFh(%W~T(I$rDUq7(_&HLr^jovux-?U`BlL!{{2+Nmx|Nr53N z&Fg8Z7?FB0XXsrY2Va=3La9(hQ^}% z?}nyNeME=RX(kK#1#z0GO^RrbT0ALURE0{Akv58s`q)-QrOk7j`em&)mC4VAH_?$| zmu`@Dl*4O{Gr9t{*B#~+mULzfS58)KmZQa};y1G!IMuqhqaxwd* zZUx&%c-ZN_knoErp207O%bYfS!7}FZp@`;)7Daoky6%?F+Gc3~J;c5raPdQ{5r@UM zzWkD?|D&Hdr#9qX-8gV*zxWM{&aYpwYWRo0K6-@e|Gb(MoGYHXIj>U%t^IFMTLiao2I}VRyOjB?74IDW6*xHZCpz3 zl!sgTrxXWNJDqy!tiR?dybu!5_EFwPmokn8AB~rxYAmYz^s|<{x+N-5NPDS=u=A6n zYKN=Oqqd5L+#{1Bb=Rfb73n3p&X`Z^V_spgy{($Rn#)fipAIxMSa z#!lYI*!jNkyZ{}F4l>j#a#Od0bE--#l%h-iEc@WPPW=|3FS6z5u{puS#mFVm3emGS zui_QR=}`84kv)1aS37=(cCJ^xc4L=w%sBq%y2%=pdaKdxU`$e{Opfy6oI-6tOhV@! zhpI+2m(hi7S7)#!W)~GIM?X*`qQB|lE#_&>St$V7D?&{OEGOJ(k zF5ZAx;so(P*h{jLYg_wFZJ(9WslVUSF6o*OGupvVH%&9zt4wXE70&Z2P{ZA3=PCIb z`BV8!<&2zS?ZK`=UF%{7h>9bw$MLNr9`bC66l_@=`#SqJ`x^Te`v$wj>3ST`>v)}P z&e)_ReK9`iFPZDn8y9UFkh>&3Z3^{>j)~S60#irp)BQG-?&nUwJAMSj1=kX2=Tka2XTD@T8~bhj)haP4o=kPVX^<&hjeJ8mjm0#I^G4PQ$%&VP^Zjw1`A*3K#6}d7WMC zbCGwF?~KZEaay+T!JjsScrEhm<2f~HWPh#4^7{_?8(R}Y_l~nJdF`v8fYc#ynbDQV5oIG%9YV=mF&A@(IMLpnFKH{I(g8yPxf+oeMvg?!YA`hrSPDezLp z3Ur;kEaTK0XS4wwuKlXEuiLJie)~^e7B>n|?*4Z7s^A2ak!0nd^OcM|O-T1B52oq* zXx6Dm$+kCd4|S^ z@x`cEXkVNyR)#kUb0@Wb(BWO-U1``Vw01<@u*=;etrJzDB73TaONo{c;<`p3Rrn`} zgznSG1q!qxOUnynm(Z1si|}~P#T?WY!bVqlnFDpFd3jGCX7)r^XVsi_928ZwZe0?k zjoMK=fT+lcJai6SLUfx$>|~Ly<$o?k8P2Hw+?@SHRC$#Pd*U0x?3y4UXYa=hqB}WAwt8Z6L;!9=d^FC zZ=CP2lzdc=Z@X|SrQmfax*Xe5&qX~ao&S=5AxFiryC?RD|0@`L_tYCP>h#IToRB>< z+c}$Xg?plLnV;tn=K^ml9(#8|_AjNG1qNTJ=LV|B%JfxfO;m(YdpvBU>DbR6=C z>qMz+OAESE!v8(G}&-GUTgJ#T__(K1;pc{Sr zfA?MWtE*R!#=RQW$Hjqv_hkxu=k_<;4zIw*@jcG1*mxjh_qOxxJ}H-llYRawbK|Z0 z=C|>ojy0n)8*+%#&MtYQz)JOv{A0n}XPmF6hS_b4SA9`$s2cvGj`qm#Qt8|03_^RubFUkgsq;>EE2fPE^KJU6&JWd3lEL*NMWP{x}xGSrJW?Hxgoh7qqLkqE4TV zCjSENgaxg({spR>&vjE&Ym_cc!t467%|BU^W>JGfweAD5flMxH7B zFK(CRGs3oG^te+E_4(y9`*}`ZKg!n2(2J53$nT$CjP5hq)_D8)pu3#=<;(RwO73=w z0HQ|;-R0PbW#djJN;~z({=ys8$+z`KHxGMsCw3xom`Y!&fQ#xH_9-vBazA#8mrZ$~ zkmYoGkWTg4a!zTiK1&n?FI0_e-SPsJE?d!EduvriRi#_qnN~OPvsN-s4AJRNZCz-$ z)96c=if~ac<&q8?aiVmRa%0R8_A!TMqlGdfVHCv*Ed6qU4xqT7%@>{C80;$}wS75{Xelam2o;qmM|hoK=ke>&QY|OC z5zEC7ov)!TvdATCm1=aMCohttbC2(_l!lScVoB4?sM;AFcces)Tkz%~uUGAF+~KvQ z+yS*GGefzHYmY?KZ?8eMp1eZ~g~WwJyGGeV{T{b3yHw>7=TKxV^{-L5Yldk0q1{`o zJ||D#kQ>d%CR{~x?EnpFj6Fx4jLzI3LltsW)Lr}zIl~WwPaK3 zK*y#S)JhoZ;i*6Bc+U15zdqSD#A{Mnp%-z~A%aUyN-v_Lt*yFU_E^8&yQ9O7Mt=Yf z9on%X)OlN~V)hcJ$C_Iqs0&pV5V|mJ3(>vwmv*)Mi2&8;J5h*{kCmefVAX%+Xt$T^ z+X)S=OM-s;pLFUgzhp5_Fk6MLo>28YjN=#`Sd*aHcTZgY=ijZ8-0jjUH4(Nsb`b@N z5Kcr_Hrnu2`hMER9CR#hOH_r6SY7XX9M{z8qFZ$}u3C{qH(PPi=1_2rqgJHa|B&Em z=n?sz{ZVU~8l8}!Y7sfY{+SF_>0Y2@wxM6EWBsaD$C5;TInjrBMs>SV->1=}?=g|M zC3`vOn>5-`lSaO34r=-(@>hM6MxTt=nm;N~(Y{rG-$V2_p**i)e57N!Xru#I7g4DQ z;Sw!8;o4kY&RbQ*GvR(6kN33SokCBs=){%Yj#+zlIM!TH<{bS-fYPv+sODO+xnZ9B zz7g7}Z<5jsO=YPI`-_|m&8qrbAOVG;jY_YmP_K^87ORjY+ots|w@u2I1RLgtIBREr)6aiheFB@O-Jr&wi=6rnrUf++NyTMMcMIbmvxWQ&dn*79EK@ zw^7Nb^7#s>oG6tN)eG45BX^C+k<98sS8keZU0KuAT79F;OQ-ATEYZFxYoHUlyMUXM z)~e^|<|Hz9M4JAb8W}#KHq$CNKsdWUoBy{QO+{@>u7MQJ3ASs35j??KBS^i#vpU z)FCNfWuKRPpZx)EAUnxM?0CIBr$9bQxk^0(HFK;GH$|js(bcTx!A2$5u{~VbIW0?) zfc`&OW!r)(^+?(`FXKLMkg!ZUs0(#FcIcZ-mDz{|6*QI0Ivgt4#p&%q>Q$)VKV36W zGfR6~(yITWr}mUqrwXTrjB4IG9nsr}ERiW`VJ{bJ*e`hbY;@rue9qH1Lv#Fi z7r3YZi`tHEw7=;*rHw#$0DU~gJmv7keM;)x^*xC@@)c{=6RBimS^9PTPEeM9Ltohn zomxg@^BVmmgJ~tl!b9?-XuAWv$Amg-6+vfR`wFSjaizd)D`a z@0cxqoD05Ze8;0qav_JPEQV}vyOa3lLGWR_`>3+DHh5{UK9jWCe`2dN3w5iiP#U?v zymPQ%l1g7y%o!v~LdCqh%Jm%);zuvhvi?!BUg$PeExARmY}6^wNfX(i%%T1LHgwI? zFd@}pHEInrG_Xd_vyU(NCo5F0Z<0rMZIS)UFP}`m$2ZiwijK0`sJ6bp%b|9=Bp}lF z7HST>U}bw)oOdbweXF5EHV(0}>Rt4{)ruvPKiWi81-gHhSY2?b6MidssA<~u$Aj8z zMZ~USV|FcZpEz;HM$K=>ZG#p0Lx(!w=xhs5ywSNpGgz}o(?>Hkr$|lov*)8K7SVQE z&0fw{kGrhmu`Qus-Wu+`LWbH^v(7VisTuN8#V^k@kHvG!_sRc` zv{rmsZ)lSZ<2lrpt9!%@K@DqyD&k}m>#po;6uD|E*NUR{Q$-;R9V^Qz58hWq043}gAxACY@`;wm!=*qS(FG6?RSuCf* zQ|ic#FlorUiG zWRkj@%IzJZ0#t+O5S2L0<;SHBOV4+>&qtM3hkH8b^-tA~a&&W5%3JS~DEwTzMmTdJ8MH`L)mGNxva zx_jo$j~v@7{~WLV$azs6?qY3kx1whu;Wcq8)DfZPPHVOaIk};oi;DDJiNuEo*!8s~ z?z3h5=cr2JtXsGqX|H>V&RHc}i0f4ur&1`68Y9hAF780rtja?j51#XKKfP4GvV48{ zl5*5q#oMVx{Y>c2EX2vl)4`KH=P)nNDs;lOi%lc*h%MD)ggT1TGi4`HLVPnl{;3Nm zN%gvAWXOuPkFIYiMu)f#{UPpZ6>&*ceDGq%nhbA!QCTo_f2jub0}IB;p0&&lSyMxF zHim4i8Jt;yTJ(K`i9OXSB0y-Dy}0cNY6q@)vre*1vPObBiaRB!b*d57^h=SSTy!{@ zC>FP(3!%ar7ah)&%w_9)7}Ijq%RNqX!Yvl@F&7ys>3i6fi)*)e*p!zH5M&N<+QD^> z?dN+^-$3X4SoSf|Emf+&8@r^B%B{h-gQ1q6yEv-0yMZo}Ewe_q0Of;Sczqpq>BuI! zCF~PEVpJ;hda6OuQrR=-H|>-zvbDQSbX7#0!DEQdR#XhsXFd*fiNtZwLBdfEl_g7u zt4FX4P#bAvtx#^;cSZQ=kROFdCl%x!+9)65xi)!~)2J~Aq`%e0^ow2cEe8OHJ>*o z)?I70DIh)+LA0r%RQ#I0Grt5ipm>}(bWS>=G5tk)1uCpXPE9Myet9-8qhwr{!Q_#( z==!=7HNDE9L#=sc%bn&sEzpFGdaesE3xo?@l%1lbq9bl1J!< z1sn5(?Ek(%ZN?r#qLP14g!)TzW@a0jlLWR3{S6P9rWU>#bDH#v2rw~zIT?GZb{xA4uUYf)#_YR<6~ zS7BTZ(c18mQ&95Yo6du!86|e@E3-}wZ#0tjZJq;*^&>E8$812M*Rk zRG!JMzpq;)lZM1J4zF_yS*o6@7$(lV$g^|Y<<*ay*m+YP(IOG=EOoTeNM7mQb~qgW z_k>@1u!#S$Sfk;~6^6pME7;%bt$*V6!0_J>H?3H~LYz92AM!gHv}NPkw0N-q|R(1LgcYZ&4neh8S)`=9%W#nPKg z|Lp(GKZteO1Lwf&&lsLBLDq(puPUD-k=|0G^U?*BMp4XpdZO+s^9sk2EH=TkK{AeZ<42hkNggM zlFw8>=|%(JJkW0u=}0C@{`Q%HZyD%E@|o(V-ecgq2>OwHruwnt41ACJ8(u{6nd(>d zje#!-^s54X6ZKeMUo-IS1pP=pQ~ln1VBqrs{YXAj{f<61@a=>5k$k55RlYLtT?G9O zkYDO#qTu_@2EK66kK{Aeue#H~=Lh%>n&}l3xyK zqTh_!20kCqkK{Ae?-MTrUk2z$@|o(F{-J>{5cDJYO!fOX$iT-1{qBx5Q4IcxF7xz% z`wH|U`Aqd&9B<$gfPN&OseVr{!FxeJlFwAX_`3!^f6#Bu7-s!?WE%LkfPN&OseU_u zGw>yWek7l%evfJme8)gPlFwAXRWbt~sZ}%V2PB_9IFrQx`|tl*;QuV}e-`-vpar~_ z`K&dhxYR#cEOXyAO2%z-zk`BI^nvulERHSR?-<8Lo^Q>Ki%f&a`9kAb85D-T5&z(UfN=DVvG5*q@^*AR82um8 z8MEUtoWfWvoLvlAHOnjxnMIi!&wH5hOrVd4(XJCQIFo=*`lqSiPR7Vju~3hx7#v58 z9@8-L)9La?-!VG_BR`WaZ}i=;voP|rfsXTwIT#!#pp)?i&4I|JR^e7a!d zT`}*UhmoI;dH({8yc^Idc4S$6mkv{s&Mk)xUdISgh3;oHanl?YC<&IO~8;nHQt@wH_ny19ZxG z7}w1P49-Tn9!9_OX%j|%GhN;&j(&)dM}=Jd4`m#T{_!yeXN!e6pI~r4rQ3T5QB?N;LY9US-28YP; zi64sJFzR!_z-Bh@J_vM5oHdG1Ut;7V=<-JXABmBV0y=IS(HNXV7UINUaAN5=jQ+;O z;PB`;jPr9CgLA|}oHz_lJkTloGGm?MCPx2ImGH zhta=oVsLH&-Q2!=8zY}i*MreNzQf>rPsd>#&%ZD@cYtm#Zu}b~{{zs?+2bxoJ_G1D zKlu@Za}VgabNGD>&I1ee`3ZybGtkZ1^%snMriFS4FgOqCdKksCUorBJF!EU#`D~!$ z<~Ij}Bc$Un`g<-0Cy$Q9xc>4nI0Znb@G2`l-d>h=5MN^!N|+#@;CK*#yN4)Y#;<1*su2Yl$< zwC>{#vt69w-(-LE0Qk3Q-$KtG1_DlxUchG#r#Bsk(QmCVIDLRlSwBYeW{r{W3v^t* z)DMHxpRR|I{|>;&4+J{Su7fZ*gE4y8VC08bsK-zY&M=G~!!hzBF!CcY@}q!Gu_vQ{ z*s zpE+T0=30p3jKOgMy1DVVV&v!1^>yMT_fYaj+^Hywv@ zy#!%!zM$hU&hs7&&R(EX>}q6}eHi)ubUhfy6O6$L!RQf+kq@Km!Dx?g49)=yaSmc| zz682CyGCH-BQ4Y;3WF03baQd+5Jo=6LOo(JI9v;Hco>|+KsR?@If9Xo13D!xf4I(# z#frzs9R<3%`Aopb9|JlielV_+L=4VxpyTqH6BwM6K&OnyD4w3e$e#u}Wju`Q?F?RbeBZ&~{2S<$xMbwNKVanV()D2UmkbQfj~3$G!{FQp zI%PaY@#z6Z{wE9d_!)!q3tbPR{{Bpiya4Fd@BG7i{ahE;LyX+7^!FOg=Oc`K7SM5V zF&l%EL&stCPay^;7wDAvG#XDHMn0de2cv%$U~mfQIE>>d!r&AG-Q0LeF!H}ysK;Xr z&J#Kgqg|e2a7r!2d4|C$qvJ5zw;Y4>9O&lq)e4OK3%VYRcB#bR{KrC^-!V9UScp@F z!KtI%ORg#pzcV`C7WXQCtvVQGoR-jY-!f0Oq#>lr>sD}iD(~i+Yijn`v zLOo;{968V_^#r5OU%ti2chL1<^m7FUM+tOuakUd8-({g5Dh!UAj>G6@8VrsW=oCLQ z%FlEddHpx!q1?>eypZ4HXYPKyXHP?7M|r=|y6pvYbMn1`PIP>-P)oM9L}hGXPM03BCX z8HvFe1$3NUZ812bfll#nBmWqKksoWJ9(EX@oo(KhZ)x zCShJ7I9<0v&gM z?~K85u}~jZ49+|Yapq%i769FJUfeKp?iRj(AqHm=(9O;7VvM{8T@S{*$rFR)h0%kJ zk$<1A2jf1s1cS2_=;rp@Wf=M8KsUEfuE5Bz1iHET@W#l00CdWFW1Npw7@XB~97cPt z!QiX~x{-e`V6oO=~H@*9ATv%^LV&L)f=n=$eq0v#8(KEmL940OtP80TXP z2Imu?o3rbu82QgI@>?1{Zj=;!A(&dfLD^VEvXrNQZ!8osnFgP(7 zJz_EPT)G~Ne!;`w9H#4GWX~fQ`8c2(?TFI!N@1k^j2>q(@?Tr1$2knnd5j(xF!JA6 zs7DG0=ORXrOBnfYE!5*O1}D`*oGTcdG@#@1Iz9&HD$ptZY7{@NVdSp^9Tx{~U~q2I z^)OmDw=nXzEz~0&gYz9-4fU!P)d zN-^|j^!G6OQ5goOoQ}gdZ_hC}6&B*Wz~EHUaTv$-9}Ld#bR5QU{ei)$vJj^lgY(it zod05Q{scPiKB@+T^NOwyqn&FpI3l1^)|=6NX&pvhOxJ^Pp6W3;4RjpF@%)9sd2Jz1 zBL=4l=#>4+=pMWoBi};TgV8Sk!{EHJ5T_M`^Ec4V#pO1PyaebJdl=B8WsEW}Y`a5NU;XfZfC3vpPz4E-MF z`Z;<49p^Xb_dDu;%;EI15T`c=$BF@msovQKgJTVJ(>hRJj9fp4_lE@^2sm zg28dc=rIo?KOZB%03+`Pbew;9;w z?_+S50NtFQFU80&vrv!a7@QRr;;h8rcw30`0S0Fk(9PLpHAa4og?g;T;H(2W?tHx- zgX05qbK}{7k>3b(bLZ+!82Qcg_Z!8r4>9r|0iCjL82$ZY49*se9-m<3KebSg&oDS! zfljffQNRB-jQn=GyiuLQ7bDLBx;cON93$@sbliOGz~J~>h_e%e699C|c#QmO7e+qN zLOph4aDptv`2vHp$3mRF7@U0;;_S!Z1OuI7U!#391S1~`baVN37)CxE=#=y2lI5-} z)&Y#%L7`1V%m*BOe8HbK{Q2$R7eaWt}nR3o#g+SfHD;0~aIDqwB#Ke-C4D zj$rhN!^p>*&`tZ0j+)R-`;ZcVPO&HBIF4a(5`k{cp2sorCxDK-e?N)AIR$jwcur$* z&H$aV9~tc@Nf`NLpqsPDR~Y%TKsUEezQ)L(13E5GI*-A*0CaQX_y!}N0(9JbT*Tm9 zvJmH649;Z>aZ)ijS1iOy!{G2O#JP&Wxn?2Gbqvl8Iu2uey@|oOMaN-`E4MK?=|DH< zf8Sx`zXv)ct}y0?f@O<$N$FQ`~Y;^y1a|Q$*@qLA2B%hfNn0%-N(p3z|emJ zI>l~`{`4~j=NF)x^Mg!`ynrrmln+0|$p1>0H_G=OVdS$g^4S>q9H8UuD8%68()BR1 zLmoyxA0uCYkuL-~ZX87zoMJi-V|*#W;QR)3ieDMo<1t453D7Bdxc>K(J;lhC0v%_E zXBeC^pi}fW^2>6J{Bydz(fBJc@-Kjn8%HGu=RX)de#glF0d#Y5tO_Gv4Rp#l82#xb z2Is#P;{1uhsWG9WyngG4y92`Z1#Q>g0KPJzo96Yk7V06w;M7@&BgWv=1D)chM)xTV z82P^})Z;Y~XGY%}t;5K(dK(%TDDp=8RS%$>>+|RdbaUt8UKsh_K*z;-D-2E_3vsM5 zIDP3jjPu(MgVUdm!#KYKFgOE&PFcVDy5b;=++YjeZ-c=ZVj<2@49+m1oAa~b82J$x z`H>j;Q9#G}nJorqG)9jx82Pal>S2e$8D}BRcnpp`&?)iR=$^*`BmbU-dQ8CJOtcVZ z5(Z~7(9QYT6pZ{-3-xfs;7p_AFvgMT7@QeEH#eS{82MQi>M9l=Ips2BOeTObN(BG zkq-qr&K_YHoN&4xM)P_ABY)6BJ-)=?L;&5KJtHylQ5NbEjlnqtbaV3(gOQK5P!BHV zJv_{N4qN!1BN&`G3vuExI7jI?jBz~ygL4e%=Ioz{kw1=+KY@`y33ST3VjRaQ49;l` z{S5s*jB!5+gOh9_&Q}QhhfN%pq8t{>RitwoO732r+;R7FeK0$a?zHY#)Chs-D^P7!o^2EK)C@9Ezw)1=g{W{Po<6N>gWH)V`H-L|<>ma>0?GB12ewCnpj5mQ!))kRHpDlG^ zv2MY0C>yhooc_hP>F;HDOo+TQ?K4K>+&&Y|j8X#U2zonhL}9 zA?rurGx0a__dj;~+dbf;jDzqulCOIl_nGhx1noEd+~Nbeeuj9wFUmjQKsOxgClfw2 zPW|;~@ZNynkljIhNdB{qZ62QS8sS-hZXzG5XOX;G@`|(T}o#4>!JS z;3I#(4zW&`&U0qvSg4N>_{^>IToXF7Q+M1Y<}45Br2nG#chiZP$_F}b90kBzBcbUeoO z_8;IQ^A|MEWl;x^Rs90>y8RAxvOa_CPSW+p`oltfs({bjdaE{h4`J{9egR=92JR2= z3t+tjI>pYLmu_;N>*{Q9#Qy@l-#fpYw`}gt*)H(!KY?z#57oePioa0ynSkxDfKIMM zG=2*G-9A(ce58Ize-sbU4r%xrO_m7gq@59tfetQL2XxB3GR9>w@Qr|RA)FQa(e6Mx z6zReBz=!j@2H?Z_-Cw{*?k8w`%a_cZ@A4X+52WaW2EBj5d}mkUQKN-=G+C%eGaYZ` zUcWEN;dig67CIi4k2DkOf51n^Uo@@_d;R9I-oSHHe`$s1q(2aTO5J(MxcoQpk@h0i z&9aYNoZH~J$-IzxNVonH;4_&QlCN9;b|yTAd_@X;q~1s$#(d=;6Fzg}lK~&;?+DK* z-y&XnRRN#5c&7$BIUnZitN}iAcGg;`j}G`K_SuZ`&;5a>2MjC2LZ*z5F%I3T8d305Y2Xxe}u=F2loX& zBR^$WhyCbyjO(yJ@R9aF`YjJY#}NNue}7_2831&0eIdQN>BQ<8X!0I&{xt~r%=y<~ zpySqyjmi6vK8*R^5a7evX(%0!(N4pd@ZOz-y5s3^;G_7zQQRi;s}aD58}CTqGu3EEBY6kF`^N*Q8H|HO-fKC|~B_9shKAWxwh5jyIo&$W8c{Z%?9ezZy zqkEp6=y;5AU@q`c?8Lb4oPm#=M{>Sg;JLYRxzhDu9M?SH!;Nb`9glHb3xJQ*m-IU~ zljr0(+~GOJ4vhQcLK8kD&$v%6GT}q-XSC~L;G?WZ#`C5J@KNkTUANuy?n%d^@^vo| zFW@8B5uqPbKF$U{((loDjq=s^fsV7=65u1_8^T#05Pop)u7hDlnbcC?Go80(CeO)v zTMo}D=U4B5efwt5*GCf;YlRuPmGGR@2aTVx9^(ysq@B=v8TaQ8%;@0?daN>|$7*;^ zu^*$KtN}i||!geX}= z9q?nV2Rb=UB){fBz|LUP0npAsfRFTRgtv8bh+o(N z^2F(9C`4}rKC<42@K9YA-H+@K0#3qZx3e|@pSd`*8R(?`1kSs<_`CS|A@GrQKzb4N zVng&qmoXm!om^)K=N-L!^{`kU10QbQwg4YFF9^@*UgQ&?llulSZ`8cuQ=pUMM)L3I zXjq>ConmLg|H;B#zyY{m+6sK+x%kBB$Z_lK%5cB31Ncb&k$tIgt~+k})A6W$-7~)v_^9(mt@{N4owO%0 zUqIJm>;gK)PK@IVr0c`DFYGpXpQ%3w0i7H_(udKXzW_ecPYFNVy*D^4c-P*5NOW-8 z19Zwhuw>1uEpG14hCr|v=#+6W=3D!KkFrh~@9XvhA349oxD4lRNOWN4f`N~Wvo*Ak*; z`z1W5*qL#iMF1bA&aiYRDhmXE8MGrT2;DuS*g?!(B=DK;pD?YgD4?6#BO0Dl^nd49 z2>KAvNqd>|yBOdj=g-`{!~!41u8jLI7x>7!D#Ba0boLUL+0Jv_iShDG=twVA3tu?f zZLRY>f_~USeU1PhWj$ffsXU1Gr(u+*GU%2Cj+19Is7YlPWnBv2Q~lh-fzwVA2|=A87Jeu z`91LA_RW6*A7vgs4hRc7=pVc<$RFJ*2KfaL+X?Fq@R4>w>)eFTuo3?o_$c}@`uz{U zN3q{Bzk_=zXC?h>S$8eO%dimdN8qE>Qf<>>9{-bt zcs~Ol&OW~YpOJqt)W0+7`WdZzNTXN+COigzeMr}j(O-WBK63pM>zt`y=@IZz_91;g zPZm5U_gj6Op!A7l)AeA?KXQQ2T%IQcI%!8VfA8|Z?x@aUK`F9@hk$RK< z;2-6$Z<@=u5T^k6D1N{gX9`XDkX}afOWsQt0iU_JUJP`~`elqSCBR486OGU4{QDan zhjG7u41ARFG4A(IfRCIXlks)$&rgAmvJQ>xK>B&9$$L%ky8B9>0iQX0mC^Oux&hUj z!chke>e&l`HbquBT`wwMccT0p_$cw|!*y=6oh#tEX?%JC&q+T+O+9$$JQWnCiE!z(*OMalHp3+TXxO&JV&f=7YVd4frVa4}HF_ zFBTw|kpP|a3xuqm0W?1~=S}bk}iZz(?v!j0@ds zySNzKn%ZBq5}BL#UUloDSpiu zH#&ij96zBKQ=d(jg?K6p@zlVF8>a^N%#BkEbkeRS_Uhheb#%Rq>`LylEGYa@^kQ6h zJ%G>Ly6Xva(ysb-#}E&C0Us_N^aeiMIIT?HtM~hN`%ky0^#MN8u1G&aUj?c;6F=5K zr;N`)2ZX*rC)YV4&(v4l&*VLXe^Kjo{Y~hmdJMqmF%anH*4-eWlXf$=?gj%NWxh<# zivfDO*Z?0nZiHvTXYiyUz(>w2G5<{Gh@rq|dX5+d&vAY@9QY{nWEB5LnBXHlHqUjR z&l(BOP50wb@SKdhh+m)2*_z=W4bO3LW(@F=_C{f4*=*AL|9vFw14 zv=72#jPK(t)NefSnX9wd1KpgTIRKs1+nk@hXQ4h5fDdP{i6-yW+w0wW?~Z?y=y;6r zZ!++ac0hREK?e@Z_C}kp>jD;Q3eZjcW-2@<=fgyg?(>Nw@R4x`*~zF*H_bwv=@^_D zKqu{o^fAsuz%ny|kFuVP`5@lS0zPx|KO5+{`JV%Pl=Y?WOLv0j`R{u zblf^~20n8B5ROru-i40CcwTk|K61PW$LPE~&xB6cw>zIf`ObWxBG3*-GPr{C&uwD1U|~VZ$%$W2tKeopgX50&ccgK-i!2O%m)?&pSd{fVM0eZ z@4kNvy~h*iWS)-3_l}OX6fdBY`XYJ8{gw@U6gx4Vd)@~=ik%qGJxl0#jP;JCCVcvN zd>4nh*Z(r$Gq?Vi1D*66z@go1tN=c8ee3<<-Tg;*p0kn(kHNpZfsbN0M*sSN3Gdx| zyW{OD3-wzKe3W@$^w%}OXKp>N1v;revKynHt}}TbvKz5(X`kC%Z^B2+1JnJYkI8!x zo_=39Y}eh>z}jFT-bUav7r!g8|pUUT-^Y4TpAA7lIs06x-R5#9#W7#MIc z3<^j3Qw58)%R;rYclQDx zW&VuvO|p)$5BSXO2m66e&M%=CQydDW>&1A!2mwBFT_U`9`z)G^P@tRJhr>+hNS;zJ z3)mhGbaLEizA5x~_3Hz`N5*qvTtL>v7Q!ZAznQ2nX~&*3vm*F&ve}%gXg$9MI!K#`y{fr{=V}#JSY9#WZt{;z7xPl z@n@rR-$|gGo9|OV$NBSV;G?YXcYV8PeV+k3WqrS+Bj-y3I(ZI5<1y-EOE#e+I~et` zeFb!ipD^ZgXMvB5&j@GTs?X*v_!^#5^{4i^o&!2*CnRUo=XxIKxcR(5f4~0wHok%9 z6#W_FZ3^(2^UI4s$K@xNfRD5{8js=JJ9mK_u{C~6*N4%bmw}IB7o+oPD$q%Lqj}YT zF6|0DH(eKL@EoT z+1<#0{!PbW9N!PXM;RYu{J#r)6uUE?*D`>Qj0Z?Bqx$ZTKqu!J%^$U&v3uXWN7swW z*L_gC4}6q)WVHJO;3M@%dNJmqKhg0R?e;TWKSsO#0(`i2nMv1=aa{^5#Cr&Qrg7p| zcux8svOgu?3)udMt_OwwE+5PSK8oEL?UW6C=HhM+&`Ezm`jGpB-WP;Gr}#NZ*ZV*& zUEU}^&I39*UNrCT=x8|kKquoldjGn$3tZ=~p6%jH#Pb56o7%Auo>TnTa9%g5`xgNp z#qSu;^~J!4^OF+bqvSRE?@jm(p5yk>$8`A(YtU!Io>(aVlrFE&t4iTHPXA|gdAy6Jqrfaj#2n68UTpp*Kc_cE@F{{SD( z4!@hx;}3Xlhlu#DC1*{KmP?j+`9jhj>lMMs{uZW z-Hm=v%qyUic@VPu$|cL(-D}}FWuA@lUXckM$raJderAvZ~rQrceZOMHzX_1S4$W@ct)W@cuFx6I7U?Wf&) zw5Qcd-(3Eve|_{wqtR$Iv$JqIPd)_B^^Eie7UDOm+v)IuZuWfyIroR!P37^Rd<=Og zexImz$WG?I$fuC=c#$8O@#pi3&%pEcL7zh&%GWQzO{bJB0X<9?GLWh&ST{1?>@#j7eOGrvME^3mKs{g(H~ z+&}%U+SC2|BX7s-*Pj79f7NK`Z}7N&kUz%SVKJdgm zisQ!TyXpEiziOBKGxrS(fXDNM{L5UIEC{)n2j+FxLg0!0Xy&?W;Tru}B;e1YkcaYc zG4Mp*WS&=A9CFbwbDzEhcp~2B^~{p0J&HH2Z`JScEd{xVb4893TN?7vd{{=cL*tb> ze_IyvP`{P~FVwH)YqYmQ-ky0Lup)S39URy&sIDikgDWXH^>6gV@jd$V#5%b$Ygp*pmVYB!EYV_dJ)cZ1gjkLNM@mpPAGPqhcXrX+j4wE9HR`rvWClb!1IB}HNb z$a$S7J5@QYzZ*g>@}z-wp>;!$2R$Iy@!d$-rFO+STAaKw{L(O#;(*p9fLlAf#g22a$h%)IVXqn*CsaXyki$@d@o0T=x->v(_gc>GB} zQ^yBD9-4offXCxUcE-#5!ka?Q{iV2M>g8sTbN-Nire1Cy(BC4Uza`|Hf7E{FJ6T&n zF7iaktBJlfcw9%x&Q3#1t@Mom{_=0-O`Ll0IBwLR3@^4AGY5i~na{>`?jY4J*~{b= znM-EMVDLiYK1A{2@v`23AF6n9K3n&3hk@tKi{X%Sd}BM-ychu<=Lz|hnHSsC=+8*- zc%0(?S6*c$To%=mAc_s{I_IPf^W zG!B`0I399u9!`K<#H+HdR91xaTxL7)c)XK*HP)Yr;E8-S`!@+ZF`njrV|(!QIx%d} z*io}3GerJ3inyN?hwAkp@n%oBQN;Cv{IAMswAsG!+Z<o$*gg>0Gq4DMS=XpHIpJaTwAKVVLZ+>Tt$3OI)G4?~)GwU$h@y2;M^pE2c$0gZc zsyeVdc-$WK%iM>qVA(U)!4*|p6MI!&x=^nK9>>qigO$PK`Aqf_WEIs8>6_mPTUGH$ zU-D9aRs)a6DUO%5j;@}!XV&pGz~k{Dd*f#odiL+tw<1_m$;q#bd@aa%zL9>lzL9Kg z$a$WSepOEOZym@(@m&`@G5+Q}TMs?A7P8!^+u4f(a9{9`imGsT;{A>gs&m)S9`5x%T;EDMm@7t#9q^=WWPx8|IVL!Qk zl7E?V{$6O0_YUzHCb{0x_YMoK#kTetC5kW7DiZyXbtCN$ z*I|w$`5}2}fBM6p(0tH!pX_C>w<=$AjDqXmrmFwi&SsEj`e&T)Z4REuXS1Gd0iKwj znSIulkaND1KNUG5v=!u`_-qZH@W;HrR1co#&p^mMe+EI$^Dmhn;(g@7c|XkSY`&fk z#d&Dno*Cz1ibsB#=bppC<9JfM&GVHJibwX$ecd+Tas4BE=JP%y6_4zh`;k%LiTRs( zo@zAYJkDM}$AA~==UDJ~zY*JupPz34&Ur%psvo(-umSYyVe)TV$k{&WndfQaz~g)& zJDKNu#^>#r>){0OxNec1%>3UjZ^!g!B6u7>vSXg_O#)Bs_cG^U+e6OzOLnUAw7Nyn z4&brh@wgYn{m~sE7x78uv6-D97jZV@vom<2U*`9XDyI@r#Q7TgW9^G~fj#a&^>0kE zR4((6DOGkyQFa|L>f~;Dzs&ht08jMOoNrUW)BCi>8ugpN<9#;u%ly7$5jRC)vyJ;xUY4J`Fsst7Nabk0Mz!c31Y}eih>T z5Xi;pkh7oOxVL~O@@RCiv$?w^`SrMJVz+|l<#ik6qCc6uZin29$BevwCLVhj`ttg+ z19FkSnd{3kiQT}(JTmLWUf}Wg#rpDlkb6Te@*me92oNH)4|tqcWGBl*%Iur> z%dF4)fyZ$qdztlOf5`b9gyNI@9_9hSbzL|RcqkqRfyez#;$eJG?cf^i9a5vcL&4+z zQh&sGbE$9`}1X-j!^AT{{|IWn&<~1>F3TU{f>m3$C32Sb>XPI zKjwAZ(cp#V*D-m&M#moljDL3~_Ul+BC%?qJDNa5v?~jmI=hgAxdGR>`@_F$$&f}iF zdJZ@d|1a{#T$fG)FSM?l3?5&9Qh$=?f$D&tg1q zKhJ=i;}z!%pC&pFP8JXAN&15ek@^MQx*{{rxM z{9-@k{jCcj59R$u;E8!{t}7RVC&t~Zo0sJ6nfuyH^Zv>E7wLVD%fJ(PBzft?x;$^s zTt~0S`)Bs|${OumRinMD!4r8^*%y^6f@>h>c|hY?k)yO;3wdZfuLCbMp4WpX>b+oo!cSjdZX8`J0M>Ge`%bG zZ8OIt@o=Jm-8D`@r+!dOzf$yn6sV z;g>nD9t2Osw|c!w_lzG>?ZtI1eIE&PA*MVGp6H*s9zFsdw@3Ce&l5ZfIr|-tw{;)* zG4Oc)lAX+brpHw~WT)yk_3H`9IgVbxo&-p}3ppZ7+exaYg()^ly*7oVRD@!zJTJfBg52xZ+o~O}U+;j&ev?1){z7`a`!0AQ zza=lN1n+^z>n7Q&UZ0cfeaP8w@~bMRW$XjU^*Da0aI%{qA1R#dCCJCXIltmKTldpG z0Z;Vb+^2jBo|r#oJ^c(k?jN-)@~Jra^Sm7)udd@?fXDGp>=@q}{1QB#ukkorzxVVN zc$t1y?~A76{IzPA>}BQ~d6+Q10WTEaZ}axd>yGch3;Fkb-k#~-4|)I0{qc|B@pw^x zGv^9FLC)hI=TT-o>RTcF44%&0Ux3etzoegeUg1~Z;`%cA9_nwvGx0FaQGW-I{Y%En zc#h@|@IvdvpWunQo;)Y}7jQA&=KB73-kKZ z)Q@>od*lyauP1YUUdVY}BY#+))b#lv7vpZ$(fPsi_N@!lXlKEIorNH0f2lv2eci&4 zbNr}3Re8EfMbRRPM|RA*zbJU2I4`DnWY669EDj#W6aMA)Jxf^r8TEQe@OYgddzt#g z^?E7QZropMJzP3(&)ml@1D>dB$$1sZVYDpdx*jf9qaVwI=jGE1kaNG|Jjnb`8CJ9v z!Q;9Y$2-GAPOJnT=Z%*SD}xuxhgHDiarWZ9DtKN$SA(4E1=->Gne=dV$ay|c|5%>% zYz@fy`k3^`&M0+ub>jC_)>QUMAM#4(tOdD4q z$9O0`^5Q=lcD%YVM)~d4jj@V{`15G?g^fVt64W@fyaKw`Dne@)(sx#E%_za(KH|T%G;B? zG=KI6FI2Dh0Z;VTtk?Tm{u%4-etCQ5db>Y(q4*sD9_J0kFZ2A* zKOZ>fxtG5efEUW&3&G>~kiF{ugXYyms=at#S?2~9gBQxPOTg1{y;Qa1_3JY5LjAfN zJg;9@sP?>mU8&k5zs&QCtH9&_!(Q%O_G-n8`)Qq{UIQNIHQCFoBiBM6%A@PR6Y(ZpK_uS(P@T9HyimMu11}V> z+iUdi4)DBjyt76-cLnU+U89|Qz!UK@&x`H_&#U+MK`!EC*8BUx%jA`@K0c85%UmBH zwCow{_d|LA%shPPqPj@kQ{&ejvGCdN4o>vcEg`Ddmja&6SWV$AN4RX#8ic3{a+pO0i=eT*}{y*?U9+~6*M&6(5 zc?kLQX5OEwocwvq@~3(pkzOah4W7uGc>d?kE#3hy6z6yI_RRg`d*Jc)H^r;Zpq@?X zcQoIJd~RHiQ@nQ=-z$nf0Pc;`hmd>Y^bzFTUuqZrAtMo)kHO>oj^}}O|M3&>#C*!U zr|~J|d>@bOWS(>V4086D{1Nq>o;!kE-|@%UGmF3 zpZpp;F+T^^_3ANc^!SFlc<8=?Jd`)zf~WVV-vRgbGv7nb`9S^2>}P(+w{Koo{|KHK zZ}a!(ehT>WbHJZpAm{i~T;;i5dj9t-cp|RJ^D2FNZPGK2>u->U;`%#yBL5OQ{C$`| zAP?oupWw0IUf%pwqhEi6=hfqX@^;K|`xiW(f8%v07IWE+G=J~vZl|71E z@_gPRz(a9g6g)A0neUD+2Dz9w@_m~0y_?0s6aAOGw16)Go`|QJ?@NN`<@-{Qhx)fP zcwYaOfn4N8G9JqU=eSc`2ewQr)eWdji)cB>L;YA@*(W<=2G;f1eFfkmu5x~*`<4~K z6LFQibYHm=cw)Yq=Ljo(PebiM%oEQ4jD${wLqn-Uzsk=f=QAKQj5q>q1ZP#JFbGg*wPNZgE|;t{;1; z_9)-X>xkaqdE?Yawddt+U+_3?nWwlXzG6&FS+2n}g?#+ZK>}ao!Sg9#=2UTh-{#)&YO&As6vA z@8=Fw?U7&R{oFw{+8Yd>crJ%Ne@Q)k)xSK2^rI`h3Cmkn{M__|W)Qk@c%gBg ztayn%qmJzY9*-yamsx*yg*+7R-M|aQy8s@?ll&6r7sbg_AQ$};@^pI~HG;?IL1btA zpx#l`1YGA$5qK!?r{>!?@6$|EJZj(Er!<2n>O*FqQi5FMU**2()Ry9`QWWhDxfq}N zks~JcA5d4>U{8mf^D7x=qdv5NC*o?>hgQW)>=}8}miH@@H|>yz@@58jp}g4xJa3+L zK+bXS=2^K$zdFI=aUpw|`+i-jJr$?)x@0DJqJNovAZ2tikbCC+GS}x>;PLz+zcTN+ zb=T%_sjcd*6;llkH*2=haLc4XdikYc$`OMPre_U zj_X0HT^a|;<84iJFnFQ5a|n21o@dS%4uzcKtMaYTqi>}i90s1Qe}~uT#}TR>>X%vn zjs%bMFp0bPPUKN}J7yg}8oW@QI0ig#J|3I5W6q!Bz+=Dl{5c--(0H8yo|xB_`#mc%z1b^cy507tK{by z;E6oXtQ%+M{W8b#Ebv6!8VcpkVpm5o{U%=A;@OI)=1n@E&jC-2r&*`Z1yA(TT=&ld zkH?F~HQx8-oh6hCu3E&N0<4$%m*HM?{{V}f_E(eeIQ)Fj!JN+(SV^{q2VH8~fxwzh}+<%L|f81K=Wh;Bg$h{JpJ4zitosbw}QgIS=m4 z`(^Hf?#kOU<9>I*uX`Zp{PObVUd5w$$^7DJ5#0wK$JNWP`@!RR7~3n9skTPpMqS($-Hm$GmJ_os1@1KX9^Njjo*83O0 zooWDuGjPK5VoVRDj{S)xS{>FUI^;7UT z-zX0<=gyx&F6N(<^RYzqIe1(r$WDCUx9$tzI)AWgzt-sAZ{X#g59!&je|#PGJLDoS%((plo`{=ScmK@WGxO{( z@I*h&{rBJC@j6d&t3E$T{{I8H$cw6+X3M{jhsN*@Irpfk+)~&)12UO{K&5{?d4ATelxwdLl1@)@%@pxz~lJQys7YzNpq|A zR9>d{Rp$YZ_YGtxb3QOH`;$B*op=MKHW%j9QqW{^7hQSF%mo; zSMo1&T|X*s$MkD--mm(W_%WR9?Y3wPc%k)aY~G%^Pias*iht%hiJ#-#7Cdh~AE)GG zCv*Q}Jmez3CUnuJqEtD)O4qpw;Bnm|JKGHF-M>fuupUX>+75F3N$1H#0HHcN2|VFP zroS{*le)b)fn)r3373cGqz!1-+o2l z_>+#$Q~;tM=KP)po;SanAy?zX>vlR$CGgZZF)tmb-ShV3`xEJV7Sr?gB#$y^ax$JR z;Dzc%D|nnAl#gb;Xai5|%QEl(wL>oRTK-Pc4Ao9s8kQobyxH z8U8_Yo_BFS3gXesPUw64xGu=?C(W0c07B!uCwQT8o&{bg|GL2w@ywjp?FD&geD?+~ zG`{=P=-0mBdGlhw8tv>KuyX+9q5d5R9{!}`b`XG2oDT-ii}N9nbNndp%=>AFs`e=V z%;zEwQ@nT{Snrb^4xY#-bKiUfcp|Tpb0vP>_(;gbd`jL2I0`uTJNBc4o+BtF`;JoK zXvoFBa_FRf1EOPqi@2Kmnq!rHibv*ozT+Sleka#ebxHM#qT?aQpLASL03g~o<98x> zUY?!=x!7+c?~C@M7f)jsPKF$R()LdQ5NiKa@G^D7IPW?QJkBqQlX>2CI(R&eG+xPf z1I_@>{UCkxqw>A?Ga=_ZB0cjy<5}SGe2eqfdJp_;@G||XK1Z9bd*`TjlYUis>AH6= zc)DNb0r&cKKI9xX>X$h$F946nEAE%|ywZi>h2nG(c%e9544#-@nd_TNAZP!{FCkBt z@#s?URJ?hgm&W@t@YsLEn|W!xF9(m~5zl+8{#=o_XI>Xxsd!#~T?Jk!ZdZdR>caTZ zy@u9tUAP8v{7L8KwE!}4GUnTL;EA}K^X+=@bY9*7+{?=wA?I=M;&Bsrp?KU3UZ`KU zfEVi5t>E!KiTva5u_w878|1vtqda1Hl0&yc&iyC-Ox?T#a{Nih=S~13@679myTA)w zKir+SXRbr{fG6T&UiaS%o`}ofVyP|pJ^w~#l?I+;eotA z=6?G@@I<`KdHN7|oNwfpIZq!3Pt2>#cSs(AocGscXY{Bcb?Jx5AFa`!$MXJ|`RIxh?@Pe(C!Mb^0|>?Q74Uc*y?DL~9``ejXIp{Jxso69 zEk>_FF8t5@&hP809WP)02OiHGFJInJJa2s8RPB;I^S#`+zzfysxAXSQ_2-=${d*TY zG5^i^_8xc~U+Qn>cLLsrob!YFnfy+`2MQ;>WZ(HAa9#(9pV@bQ1Uc6e(#xC+ehfL! z3)0VAuYUqLkE1s}pMr-!Y5smzqyFdMh2r-Gcp`q|s=ozTDtrmKmTOa>Av{ayg%l-?{DCR>fP_);ZHg)e*g&i^Cx&BKBhl^ffw@UZ}9LZ_2(Y| zp>h8gJmHTyUjKo|^Of?hdY>!4V4gGnPZaU|p!r;t)Bb2S$V2|j4xX2XbJS>O&VZe{ zAP?o=+~Dc_n_7=45 zF)y{ZkZq6KP3o&$MKBw!aDC-4Lot(lsTtd z9dccN*KqXuR?1|wrlYqO@X$D|4PI!R)&Wn(yvy{eYbf zAQ$_Wv7_rY>A4|r@%_F*qx$yjNe`|h5$gdt*MoRm)At1E-t9(^^L)cRuMB!xb?A8= z#f#?w)laT>X&vhco`|pHr55YJ+GP%<54Rs1}A_Q+DC5(p4gWp*Kre7J8?c(`;tlEd3nD*Y2bO|)U4VgJ7&B}0Xw_bXlFWjnfhp~pDlTN z=K9&1wPK+dKGa(5n7{j{ZRkr}mS5^}z~f ze-8o9_Y;Xfyqngr)>0#VtFctz77qoF>lo=Lc}SnvXp0{WJxtl>b`MuLw|fL|jxX^? zw|5j~73nK3ahpdfIqA{*u z;q34E3TJ;W0M79uer4Uo)VR>myGY^O&czDnb}j+V*9F9{+%M|czi&K&FLm@T1J3)# z*uQ~&dPbK!{40Qq_*eQk4|#pT1Wpn;G#d`IlZa}*E{+*D4g0)`gNnid7N$nF6LS0 zx{DL|W=H>)yuMk7Zguo;11{=jdhQ#yeY=vA-}O!O8;!h#+yS|W*XUwrb9YO7V|Te) zCZao?_U{7D-`|YKyU&y;y4&I3qi~Mzy$a{}-UnRxXV%U89sLIs&h0&@aBlA*;Jgnb ze)c=X7|@3u{YQZFeuDJP_4-jq|1pKLzmF@N{e7aw_MUX~p8_uOSMGPy3G*~~Jg=#J z$;0fAqGwb)?EkY0XaAp5IP;%ZIP+fsF6!clLThzj@*?DX&O&;L{3T_N+j&{x+|DZs zXa1`SXZ~xzMV`w0*<1#q*TIwfrs{oh`fiJ|&+WdUaBlZag){#xg){$c;9|T7b`+Yr zJDN*-$^G3s;EC~;ymY+Z1&`1Bsr}X|z54X(lT^(pde8CW{k$KU>mm-=2jKB~OZ^bM za`YkOq51j|czhi}c1E@or<9XVRgteBL(bzu{lIsuDxQ1-x!&J@3Oux4edg$Y4qW7o zx&QgX(f<;-=>O<=t4@!lx0h$o4jO^{3Oq5Mg9@GT?z*$W!+3qIcoc`~b9+1}#Qg?5 zju*u<<#m;#=v&A+UYwWTDV+22d*C7tV`mjwa{IU+9Q_}Gi@Z+aP`S{m)`y?Kuk>dV`qyMMExxK#> z&h7mTob!SB4Rq<2JijTLi~e!+|IO=H&$~sQ{0E-Mla!aldag?1={%WD;q3S9z{NPr zbtrXx4)C~tq%V0q%+Z{x9gf>v3g`CcRygzLQ8@GG1upX1To>j8PsB;^qG z;P|m%UcaGGOwwLn?nVoN$NNd@hv0RU7tY%;_hXAVek=-{>p8`54E^k5M-!&#Vvx%? zG}Cvo8rvHiXRV_2o zGT@0g3SL+1vXJY%UryoNkL7`f)|nL?{S|?Wd1GE@tmNpgoY$B0DV=w#fESu~tEzT* z99L5~_kVR|m-xeqxz!4J0E^v`=<~p{X zqrbkwxxEb(&h2feaOU?=IP*7BIP*7FIP-e~U#^n=5%DYc52jVVN-OsmF{RG2(+fC% z-;?a<-~WkMjmf>i6Z`kU^>sb#`T!SkHRo|(r~Q5k=YIEBIQM&i!kNE`!kND*aIPQ3 zpID^I+TO+|n3Vu-2A;^zh9ccaF15wgEs8c*_PO0H6wd8#sc`0RrEunNt#IboE1dZQ zfrskGAn(OQRygw~E1dbe0O$3Q z_=DP83ze^zRKpSN>geyLaBi=laBgpk!kOQwaOO7w=Xo6aXWgeLI{H(AhxRGc9Q|hC zJa4FdbDb!Gr`L(ym0j-dbcJ(&TY!stVBYU)1y9tKWdFqXyV{g}Zns_G-0lp8Gk*_- zGrt44%$tsGy3FsO`$r;g%8q^~a4`?f`;c9Z{!E3lzk4d2{hg(7=65Tc`Fkmx`Fksz z`TGDDb&U3TO~v?~e7dDp;yZZzg2(wx`dMCO*^Ty7?Qr}1E1cUuK;g_kP~pr!2zV&3 z4+c-?^&!ATp33vMGzAU?kMo4um%Q}4_b|mH|IIpdICy-W!u>fSub-T^#Mf!5Gqj&M z($PN(xUADnv{h=KS(?&OqC*el^wHq)^!$;Q8@F@RXFp{1J3h+_|?y)iF$dyqknKpTyc9gK9u4Z6(NUr!i>A1w zT?RSNTlW8Qg|q)xD4h9MDxCRO0T<(Mt|wPJ`q$+3&HT9*Jg%G6zSu`sRjyO*u>aR9 zoc+H6IA4bmztGj$-mm|zeI~^taigPmlft>3n-$LO+yY#Tr@5cH6+Dh7=_lt;&0VcH zny%!>ZQzN#HtX)~;EB3fIS(%-SM1Rpkn86J?gY+x!~M7mxTrVgeeSy*{d<6mIMiFu zY254R-v^xILvc5+Bkl)J*4g;$fR)FWx>_Gl_IdmsR5-vY_dHMK}N{0KSM9gfFO3g>wI3|z!NQ^$UB^nO)1xAU9Axt-q? z&ip?V&ip@ti*Yj7!M_~+zk!SO#a#dYarFNMF2)1Tdu8vG{|6rXN&aVfd?ks4IXy13 zDV+O1J8-s3@iO~Ahoe6y@X)-R%h8`(;XGdRD4hMB7r0la=X3PtS2(w`fWo<*1%Zok zG0$Ze0*~Vtk4qQTmBO_28HQw|xG;F3dAtaCp?SP0czT={Q#ki$ao}Q{%yYFRz?1c; zNWYH5`?V#NeU9T&3g>p01|I77GT?>!y=>l|x$j)g@n?D9VqCMoj}`Cg=o7RnIQlCB z_v+Y6j^4_^d7nse>)E?*lOFx(S7zb_S;f&?6*%V?>B;x>(kt239R1bv`sQ;AYdHFA z0@v3iYdQS270&swj>0)V)&(xlrz^jkms}UMO~XC>^}yr&C4D>>&%8)u)B1wP>l*oQKA+Z4wZr}IuW;`F0N~#I*~HP? zRN>stW(wzaHU}=^Y|fi4z~gyI`lIOJf!-6Xyjr%Uvd`^qrEqR{YlSnvUg69i2%Php z_=D&k^(_5H(I7{EFmTaN^L%QEYKPk2rqI^eoWA>nC+&uUC+fBM{pPgXM8g!1?A1@3 z)=`{BpWvBYN?+#VN9gPQ1JTF`2QK%>6?U?7Q+kvO!JP|nl#Ltx^ z?+r|H_}eR-;G%7snaIU|^H`o6I!4v(eJbzv} zmX8jCT-4|E`9+a_(ZS$}eMHKOSHeRe59RTp;Bo!n{v4)o?*HKmXZ{huMgQxq^Zg?o z{iA@3epkQ8D%Pc=9sOez&i)>&aQ62&;35x2eXE{}9uFSJk@UyVlSE~FQzw02-~{k^ zT&excdDDrGA15jMq_@+gVsUzz9~-RvJV|sicpP8yV^DKPcbT7oWk*iQ+cWn+r#k+e z20Rp()4>yUVPv61KM0D=*cp(sztk^tKAZ_2$Bp`xnGa_{&iTpXdbYxOT+hk3Yu<-A z*U>)@xahxGpUwx5^Of3{JU$(ZE&$J~uNOit;+Uzg7eUVRocf=+j=vakjt|G-5`}Zz zE>$@5F9Xi&8Sxu%+bnabcDbW}g~GYLD;3V|U8Qj5U#)QFU!!p5U#oEDU#D>9U$1cH z-=J{j->7ir-=uKn->h)v-vV6B2Qx2kb@XpjIJbAZ!nwUWfQvjf?_b>M=-&lg_-kJ0 z-R^B+?<^B-3@ z^Pf;S^Pf~W^Pd9F>k{#Y73ghz{k-|p;EDPwc=W!mvd`^4t8i}jIpE?vX9Rubs=%jW zyhnLH-|hr@E~~)r@w||?(~$fwdYgP3D2iSLkLxG-QBPm6Xpi4poKY^7UxJ+PqmlnZ zC=6|V@g2mMA=mZs72qPj&H4B$c%nX!FHS3_hYqhnF6(A-20is&IaEv^hkM=e(MAr*O`n_w((U&qsXV=zpkiZto+7 zb9)~vocW(9ocW(BocW(AocW&v7j-r{-^|`ki=r>U<2aMP< z3wUCFX7-`KLN5FrDDT7n207OcYQG}KefZxY=la2Z|Dka9`%mB@zyAVH_$~TZj{eTu zG0*+}as2pK;q3Q+3TM9~+;D+7K9AdOaNj7J4LJ9o`LhEL)vY-k{W%rR{>`OuZf|ad zGk+e1Gk;#-VjSdr<7FzE4?NyqlYad)+W68(lFIRQ^!$*^ex?s4q*kJ60q}SoAUooD zmg;%Xf~r00M`l025ac@E3oD%azlg%Q|BC_-tqY5R$NeLH^S#%_!4vV6*E?w>mH?0E z8`;a8r!EOO_mBIrl)||mODmlD%P5@r%PO4t%PE}s%PXAuD=3`#D+1^K5kFH;R)XBC zCo2c^S8>{16}T8r@qTz3{%AF2pZpfQC|VtIc|Uq+sg<6&ul$l>Vu{Wi)&Nh`CqXMm zYeFva!Mwg$3p^fgj^oUEu5=jRXIlbfUK&#>)CY3zm(KgXkb8OG4|1+Eq;Eb)(H}fHZu0rv0g#LS znCs#u;OV^E6gcn0$dB}U6xCT2MVo=g{iS%Mym+&=xw6mWxP`)b9Jf?B^S4qs^S4$w z^XnDP{DBH*{vd@je=u;4Gx0O${zD+=IFViw=f>{%^(y*eVZ1ofzoE)Lw>wPX-0pDT zqK=v83L_l-Z4}P!jZ`?dH%j5mAFXiaj{#om`|e{MI}O0aK0b5*X|1B1ch^aPEyX40nYvr zU%ua+z6XA8zFo;nViEs`<1lQ{*io}3sQhmf$?GU_L0h?iqwA>IVTt``Kl%SfUZ>Xs za=zkocMazT?CBC*xs#hmGy? zU$T?=4jcDF*fG}?t|vOKtjGPOekAvw`r$j>JfE~4j|2ZDy$1T~ayq>^r#N4w|HX1U zKG)jS%Ig{P$PS-3R6ctHL%i?Pe(-e;#gU4 zR(AAPsZoDbM}M`vzBmu#DAT!^qrV1l&J*&#`a8>fkwTm`9sRX{i~gI}yK6i8>nNP# zy{^JJ-s|PtGxK?UM}Gr_b9);qoZIUGT;#E=%W3`I2t1y*q%V2V#>zgo+f(7(ZXIx* zU&J@h<9dN7>Ilz|Mb4mq!%)ZdC6_ZdehyF6aoD4gRo61a%7 zInPId$LkmAoA-A{t9H2kF$(AQ#{w5|H?NNyz~g-d>1VEww^jDJ-Ej)%cE>B6`4be* z{OuIZ{D}%@{v_bC-do>i+uqUNLE+rqjtb}Yb^%a526k>1VqV@5Jk)(ZS$}`5<_7&INgB zoDOyTI1D)F5BY7Le;*DW??2*r#@`=40=Vpl^*d}wI_)0?TV=Hh3I&(igmPbPnX9exIASQ~5nhytsHC-Qio zbo4I*9_s(aj{YUUc^s+z%yrnMj^1U!MO`r8PruyJzXCXq2eq3yXTB10_A4GQdWShZ zf4NH8Y4}7Dee^XxH+)v%?=-;An z_V-qWv%j|~ocXsaocVVsocVVuocVVF7x6Hk3%naV9w*W_e<$W1@I?OMTsHgrY4`#kCR@f7gTcs=dtKLeceg5qXgXFcoa zKL=dI!OXws!Q*;Nage-ppZEfJ953=G^E~#8jvp`O{V?C(e%aA~Md8$Lg1oA59{<-A z&ivOE&iwx=ocV7kocV787jZS~)LV}J+rT;A)Sme~$2;IHgum4O!~%V=IR3c&EW+Le zF4mKQ^fh9Bn=^V($w_}~BX)ruG^+1IF7nen*ZClCC-Yv)hmeart#1B!vq_wfz~gz$ z@%$LL*oVmT+Voua6Y#jdq%V2Vr;tlOto{FIjvt>Z`!p_@_4y0P#Xc4C$`tuB-@Z9t zzXFfzA@xJ-o2x2cgU9jWy!=Mt9LH}J&iwBb&iwCzhw|_TNB>8Kb9+B2oZI_Z;mrR< z;mrRPxXe%M{`GH;{_nt-!(VFe|NT9gKO8%M0vGe$TnGLFkMocEVLm_hH+Z67=DGDh zjz9kbm*Yl1>(bd#;$OC^5dH&?>oxh4xi1>cRw3y8noZ$69Ut>s zUe#QV-rT@NyoXhO0Vw;^74v{6>Ve>uqj@10aW?DQe2yRU=k?8TTENj?P~jY}g%r;5 zT3F%CUqs=|UsU1DUrgc5UmSQS9!og-O9B_;V$Or5z!T$=c~5F-$a$WS-{yL;jN`|$ zz-9hh=jO{f`pf6rH?NCUaP(IMF5+PBFINIj%)iY3a%IRv{aD5EV^!c{Jk9&PtAWS< zQa+g9$68&r!}+v^!a1MT1TOqfpBEF$ezX>NV%5Db(jr7~me2o$F z)^Yq;H}6NXf7R!g>pA-C=i4{)aRWzx!+iVZey)e3zmdW@?i(wd# zL5}`l;36KT|3knF`9BoAW#Zt_KN^qNUhcloFvp+az(szV^>qYzUVYsLaxqWL@4}39 z{J=wfndjiF=e|ZmpU+ijTr$snjZuD5JTmv|$3ia7PcrxG8z2|)Fz4&G;CburILJAl z$q%zmjR%kOkMnFo-VbwJwo~npzT~Cn2@}B+<71v@O#)B!3%qjjQ-<5;{W7n|cK}cK zYsb7FW(cc-km_O$FG1<}I1-O{M=65c3b@X>rIM=^|!g(C0D4h9?3TJ*3aFI9W zcN>b1{#4*{oUM5@4LoliHA61ufjQ14$B*3=&i$UQaPD_YzCC&mqOmX~^Ry#+<}h%K?-Mo4^}w)dkAnbFU`7lsH1-va1m$oe$U~K z{t*gie~(l+`+JnanSZpxnSTs$&MV?)*4<+v_txFxAQ$6deoy^)r~MNG?VlKE|0HFX z`+Ks&xxc3plN-!PE8XJcV=o&R00c?*fH0|3ZZ`|00Dm|6+wR z{}P2W|5AlB|1#iWJVZUKemCH9@Oa!w-#n+hLbb!~U#W0z|0;zu|7wLZ{~Coe|5}AJ z|2l;;|9XWp{|1FK|3-x~|0abq|7L|V{}zQa|5k-F|2E+BRO|cbF@yU=w>$hhfb%$! zeRE%Vr=x!taGrOhpSfRmx1)DYzFqTr@LuqEeW!k!_c88M?Qop#S2)M%0fjUFL4`B_ zA>dpeh%bI;DBU(i4}-^bhV%z^6zNAmlb55q%8w}f-0q_a=XM_h?#1_UNAC&Xp?UhG zqyLn`+0UmH&VD|laOOX&aOOV;T&#PQ=Y7iEZEZ#R(OZP{dGN$ObX2jebFX5dlHe~u zF7nsRqZh#o<ckJk~7>+1^Vxc*P! z%zs1S%zsni%zsPa%zqoWs4wFN_UReD!a5L&(K^F!vE3fyeWW`kmQFd$PS*5Y~`N< zN*w!C@hJXgUHJ?=QC9@7tNc0SI#0e(IFI9(z(qgI_d~vN^uJa(=gl_?=k~q@&ha2V zo)gTTpnnIR=%?UymA_Z^x!oTW&h7q~Z@1ohU+*VJ|7YMbPS$&-zknyM^BM{*T}}LB z9=}2^=YjRzwco%C)v4dX6ZtHjyX5K_MStY|61;NsC*(SB{!%!{^Y47S=K07!j{d*E zMIM;fga3iY@uK$4_k8#TXYK!NvsdOl!og0vGvYj_X2>{=&e8zveo;2za6VUNrBI zS+5rZkH>@hld0E>=lwGGw@duLepOYL1dsEIIj&0s7jZSuFP3rimjy24YOSBk zIr_`z+c(E`1xJ5H;5=T`UvodS5_oz)v~s?E`F=>c16Tz-o|hCq$xF}kR|QYUe>H`3 z{8v{vkJlOsXa1VNMSU{wcdrGWxZgak&_cf#Q2G2sw07Q(S?AVq{8$$_uP5Yp<~gzT z9KH4PdYShiHgNPd1TONla!%WxeIBNVvQKdnymGV==nuGA7g z!aN{vr&@Hx^fy;H_j?P4bHBF)F8Xb*Pg{W}_H*^}`-fXY z&hwtyt$sI0+()PfPuxeS@+h+gLN4a5*f&-KI4JLr;B}P;LoW7vm2*IP52akaERBYM z$9_{>>dWzUNlUT9tZYA`q2TejQ~xsO!^0rw`9gLoay-{Q9C9%)&3qmK9@j-4r)?C@ z<2us8M=6}`j0P_JFxTTT;BkLRKeHZ>tccp`5a>xWS8Gw( z=lL~N;XIF~DV+Ju3TJ*v;mqG%;mn^7T=YxSw`#vyz~i`)KK+hcXM21#9+#e0WuMz^ zQ#iNVo^RKj2Q$DEb$oF9^rp(Ue<@G*fL!c*GW(Yfr~NW;u^yS%AD!UwewO?<&y%}U zJKX=73g`as30$0Kn)mT$fwuzIhivRP(biLd^?}xdb9pLC62wc<)`F=+F9>+o8aUM~eB`-Qy+2`>+MBzNXhbo-;hbf%- zhXWVmX7=+4NB>CRp?p3Hyih(L4IamX{BJGMbZ>5NYobrj(8?aEW#@d*O%J zj)k1-AnA{eUlHOLfsRvh(x>a(wj%$4+VPN!yfLq3g_`V zMd3VtrvexLn)U27NB?x-q47V%(LWP7?=Q*U^m&zP6_28`9R0I_tM?+(_r%X}^v(q? z`fXmfp6BSFuW*j@1q$alUkIG*7V*c>YbNvrRAuvjk)wC9!nvJG6wd8j3S7q1dY=C> z@WlEQe_yRMvote#AMSF<#kiXL;48r6evu!UdVD41BA?Cm>MHO;^ZV+&U*ep%dLDcY zcw7g_FTpEE*Fqi||LeeG|H+PdK6^cQBJTAqjr7Yr(~4=Wju*Ncz|-^o#v1*($L zM*UkH{ab;Hb-kffZY*`gHAT34JiX1)za6-khnerD-{I)psc_EkyA;m(eK&A% zUv5xcU0rmK!@pPIZ2vxmv;F&l^LP{AtiKO{XXk5GU9sy71*Q3Bizs&FJKIZ5@u5gay6AI@zJ_%g-Yknv5DM$Zlg>!q)D4g4S z7P#nNbr8ft@|>gpyu!J?7ZlFzy$C#1KVEY5Uj{Dn!rV8#;^@CxWBac;`mg8PH}mp; zj{Y0KSH}LH;4k5PH43Qu`)H(VO6l`_{w8Za1O6Zj*|Ew^TbE|F;#+ z@qb6*%zszm%zqEK$VYSjyzl6L09=fh8Ltl={f~f)^}&4Z`(sD{6W}7h&H4MOqyHIj zk+0_a0iQeiUjP?%ckJkXJ)i^93RUlq>n{RUj* zleusH9XzqFq`dfM(;twFbvyIBg?~Ej|D|yD_iu%>zyAOi^G{x&()Q z{xZO2oUQA$WgY$H^6i_~XUl^p=6~k;Y=s)_tQfGf66E+3zo(ci>?9_W~~BFRs6<*Xg~%<2aCA!K2@=bL{t3IQ!EN zxVVnx>!{3|X8j%g0l-6bdlN^0Q-yOpHd8qJySc)dzlFk?zoo*Nzm>w7zcp~N9+>A` z_2BV%k^cB%Qz_nv;R)2rqbUPbJKX*tg>(CZm0jYS`{p5z{!oQ;d&3mY?G0Br^G7J0 z`P%>&<89vG9|<1UYtlF0UmvB~;r2%>oZBA*Je03v9sLI2A^*2^^v40`{WtlW`HtOq zM{k0{xu4r9oclQucxeAO2|Q5`GW);nAs78MuY+~~PmI_2__2jjlYGmG?iVW_^aWJT3)=Gk*$j(Vn?ZHahxEz(ddD6dnDkzz`x&j2p!xVf+2 z!_n^mF5_(N>&uRQr^4CaE`_tdGl2_#&G$q0R6No*-w&Ckc+|dlKB0PL(hVMuBiR$Y zuGYQscIvI?MwVwxqC;BOPUFCz6 zeQx()g>$=y02lMetOJKS`iB7*ew)A7b2xZn9t&O+9ii;A-$yE({XRKZ|j|WezTY^`PPEhu_-4hkg?Vbc&taIjh(#ekgDGKNIPE|O!cUq0@ zoeo~;zQ-A=9d7?jg>(C7DV+IdE1db~02lSF`n?75JmtBL{&~Q~xSH3`=YuEbnS4I) z0%f25zEI)p_eH?@`2*r7=Q{kmV;4JmmjD;}VD5V^b@VS&IQx0I!r9L&^6i=VcO`hC ze7H)r!|h+KaBlw^;2d}2XZEGnI(pXu5A8>;cl2)nF6x;1Jj9LQ@wqAaJ-9o5NThN* zBf1H4kzdJko9cDG=w|RZAIMJpd-tu~jm2_o>K4fHCp}lWRpA`B+klI9%{qQNc-&9Y zA6=LhKgUw0&&8EmTJR>q9eI1^Jh>A*S=XD}oA5RND7q_eN7TpaebBqX!=H5By$3+( zI_X|V|2~Ct{@t%|j^hIgXa0i+ob9Z%{7rpN2|4-o@uQwFV@p@C?%zsPa%zqoW&aZbI z{=2|=|3mhZx-$h2j=Tps-_M|S>Zg{brWNyj$ay^{x%pny2Z~4Sn7^;{A$UAKWDmcu z(@Dqdja^*dJ^~Ma()#+b!Z|LV02g^<=J}`Kh1SK-zzgN^=Z-&L0Oz<-Jk0CoFToS_ zxpMy(zgzVcC}{tL*n(QdT2}Q($|hZ-vAHQ>2DqV?|{qo+xqUz_m2J#3gUFF{( z5B2|d@bD*HC;tE-{4mdZ|8(^K%IjC=adLWI?Z@AWNByAdIGWCMWZXz!Ex_Zn(LYW* z{{j!i{Xg)$xJPqVHe6ypR>n{LzWr?A!CV@z*?|i`2GK+Mv-EwuIUM~tfrsKfm!m&- zjr#LA`tt%8{Ws6A=L3)HGmTf3M+rPX{?>PR|V(K6t9^=4VfwSUXy?VELEd8J>*IrIt+zM_M#pS=c4!)s- z_i*ry9DHL3@9E%m4&KYbdpmd^2k-0P{T#f%gAZ`b6{-_^mO4A>I;&KQcMhW*z0nRn z#=*xrc!Ps)>)_)Ye7u8CaPaLMe4>L-a`5dPd z@F@=7=-^EbUUcxO4nEDnn;pF5;JZ8cbO@Ky(JbMSTtpW)zpICzJHmmR#*!MhxM zri1V4;IkaO+rjs8@Vy;;AK?5v0M(~*X$sv|F1D46RG;>B^!9V`{T=)O2S3ok4|4E> z9sCdnKh(hwbMV6*{0Ij>(!q~%@S`347zaPr!H;wB;~o422S3rlPjc{+9sCprKh?oc zbMVt0{0s*_)4|Vj@UtEK90xzw!OwH>^Bw#G2fxt4FLLmUfs5;oDWw_o9CBxKv5^iv zE^+iOb@0m^{Bj4s!oja}@T(mBY6ri@!LN1j>m2-g2fx9=Z*=gR9Q&W(Uv2eS?zr(@rbnv?z{B8%o$HDJ)@cSJ6eg}WR!5?(+haCK22Y)`J>`1=n20dP_0 zrx#k|Cqvt4XI3hI=;(dq;2%5qCl3CpgMa4WpF8*$4*sQsf92p`JNP#a{;h+52VBH; zM!DG4)IPJTWm=)5_`Rd|gM)`)6cr;g~KJj@l)t>~I&B14P@HrfOP6waM!RL1Hc^rIR2cOTu=XdZ09DG3sU&z51 zcJM_Ud{GBq%)u9T@Fg64Ne5rb!IyUMWgL822Vc&?mv`_L9DGFwU&+B&cJNgkd{qZu z&B0f9@HHHKO$T4g!Pj>1b%2ZgMQ2C*j8Y>WKwH<*ThGDQckm4yd_xEC;ouuN_{I+2 z)4}T;yqAObcJMw9-q*qVIe32uAK>7dIQXUxzL|q>?%-QE_?8a7m4k2X;PnnZ(7^{e z_+SSg;^0Fae3*j|ckmGozKw&AbnsCQKH9;@IQUoxZ*cH!9ekXFk9Y714!)g(Pjv7} z4!*sE@8IA&I`~cwzO#c*cJN&sd{+nG&A|%}KE=Ts9lXiGiw-{3!KXQRvxAo$e0K+* z?%*vB-s<3O4&LtIGaP&m2k&t3vV(Uzc$b6EbnrbLe3pZEJNRA>zPE$#lJNz>o{7eTw%fZif@N*peTn9hT!OwT_3mp7H z2fxU{FLv-t9Q;xTzYI7(4@U7XcTJhvQkYrU@L%reUE$zYI`~x%ezk*NO%8sugWm#NTt_u`6{dGpo(_qkTOGaI9Q<|%zr(@rbnv?z{B8%o$HDJ) z@cSJ6eg}WR!5?(+haCK22YqPh4*sEof8^jFJNPFK{wZ+roLgf%z2wqHXX^0*?q`sT z^`n)ZGHEImlgHqq&mFs8IQW+i{*{A&?cm=y__q%Jor8bx;6FI{j}HEmga7Q{zc~1> z!1=j+suLabeP#M&#mr(`Q&&r&SUG3^4LmV!o$W>9&^@M@@w;RH4+sC#!T)mbza9J^ z2mjZ>|8wwY?n*y%_Y)j^b_bus!RK`Fxg30M2cO5m=XLP;9DIHUU%&lMaDh|G?gRkb`t2_7_4!)*?ujSxtJNP;dzAkXFj!bFav$a6q zYfUEldXC=u4!(hdZ|LAX9DE}O-`K%>I(VIf_j2&w4&KMX`#N|(2k-CT0~~x42jA4e zH*@gK9efK1-_pUia`3GkyxzeFI`|+5AMD^m9DJyQ4|DM04nD%cw{h^14nE4kM?3f! z2OsO;4GzAogO79Y@eV%0!MAhpi4H!=!MAtt9UOc|2j9uTcXsf}4!(V2 z58z@yGL?P@DE=O1vM=v&^vVw2>EK-sKGVVXbnsaY-tFLfIr!cVzK?_N>)`u2`2G%l zfP)|C;0HPQ!47_igCFYPhdKD+4t|7#AL-yn0T<^;Ers|4l{iN_+R;14!H;$D;~e~W z2R{M0*x$`8(N!ybQY+cto#^PDg4t}nK zpXcD`JNN|-exZY3uXOOM9QOBaw(Z5obaEQx5*LgFoZo&pP;X4*tA@zu@36I`~V##eS-hKGe|FQmotpdD+o> z#lc^7@YfvtbqD{SgTLY6Z#wu}z{UNYnT1B`V&(WVdfU-^$HCuq@b?`2eFy)*!9R5H zj~x7C2mi#uKXvfW9Q<4*r{i|L)*_IQX9q{+EOQ?co17_`eSRpMytuKqYs-!NF&D z@HrfOP6waM!RL1Hc^rIR2cHkPcu#z0v7=n*q+jNVFG%Ni^cHaN1s!}L2VdC17jf`K z9egndU);f$aPTD^d?^QC+QFA`@MRr*IR{_f!B=qb6&-vf2VdF2S8?!F9egzhU){mi zaPT!9d@ToG+rigy@O6QU`!4u&Zu`vmL5uYqz4aY@0|(#G!FxFPMh?EQgZFgsI^g0u zds>M;`Or44av!Caqu1NP`#5-C2k+zSr4!*gAZ{gruI`~!&zO{qb zJNQ5cALQVJ9ejv`4|VWi4nEw$M>zO44nESsM>+Ut2Os0$V;#J~!MAnraSlG-!6!KQ zb`Cz#!6!NR_71*-gYW3zJ308y4nEnzcX9At9eg(jFF5!V2XA!nCI>G%_*4g<=HSf^ zUUKl=9elcjw>WsKgSR<&yMxbg@I4&7!@t4!)0r z@9W_EIr#n#et?4?=->xA_`wc-h=U*M;D+V>4t|V-AM4=9Ir#Ao zeu9Ia=-?+g_{k1_ii4l(;HNqG=?;E|gP-Z(XF2%U4t|b32?DrZ)|RFYocFVqwj}zl`nPlE_3k99sCLhztX|4a`3Ai{2B+p*1@lH@arA? z1_!^vBjLveT^VCTge?YtDQ^D^XKe_jdbznb@>KKaE5oVH*%qSpd;UeDVx^W%R3 zJ8wWP`jeUOZwB<=%Ijz5+1mmAcLMtF2K3*9obL}%UJhz*p&u%b-}a%So%aL!ALQH5 z^#8+v{zrNJO#eR)=zjva$ZssVqL;d+WVCS0} z?R*=s^Bv?~f4&ds|4^eJKL+gl6!7Ecfc`I#d+YkI0sY?~7vo~qi{Arw{(#(@Z+`~# z|AO2bkG})@{{-6qH=zF?2^Na|ZP1f?SNJ zSvTem*qJA9$IOd)19s-C(a!tXAQ{3e97!z)(q&c1-Yn0nf=q+0sVC#7vpU9W8HwA^&l7h$m~1T59n`DqaPav z?DT+K#3NIeHwx%)47un>W;}WZ^y~8anK<+c==X*^G#-5dcKQbV=oirMU!xxb0(LgZ z`;m#~rUCuUYV>3CfSoM@ery@g-zx8iS%0<;*s0I^k;#vN0sTRFKg{_$IACW;jdq3x z>L}xmRCi1oZa^=ywG4%aDt4G3!%jz)n|-8iykSc8-Kx#3NI`j|%7?U85hz1neA}w`0z;;{tY$&)YHc^Mrt% z6CwBV^Q3_O$&h<-Jtd%jD&(Q@JuP78^cwA)5wLS+-i|pwX9et>4Y{|joDvo# zcw7;%b7hTot_s+>x<)(K1ngW3xrl2fF4qP0uh08o=KBo+J2wXWxGA82bKVcLp4}3# zb8C%uZVTACUCH&jb%&Dcb?eR={kSV&=k6Nq+!L^KZ{ChM&i4iE+z+{zZx00YAI$q< zj`KqSI}g`r=aGP&M^kV`2$07ID&nE)9Z0loJi_vY980sRjk zm*Z)T!-oMoA3-kSm&vP-1Nxuj^)vDRG@$<(yPIL!Vw8O zW`6Vc1w1?a+^^_Qre3ff|JD0H{yu}y&%~4Gucy!Z3DFNTpZWVTo*izV|5Dw~_`&u) zea>G`pP!fU^p_0e)l!gq`b+2aGvlyKKz~`txu4X3b3d?Lz|Qi99cvw0Az)|4yd5(? zR|?o!Id8|zk5vM8R?XWn{aGzwXLZQEJXs^4zh>SKvp;JE?5tg*opl0s)~(UbdI3A@ z=k1vB-5_9R!@M0cK0N|SB?Jk4%q3Fw`0b+Z@>;c z`kwp~d7P;?bo8G5^XkeLniJ6l4|^`FMqe7|6; zfSs)&7yg*zQXjB05OOcBg97@4YxHACz|PPb?FSmQl1U}qHM zyf2~g&b(hVI-ox$?}s_gV*_>?Aos?3+kpPKydP$r93QYV0dn4#QamP%rpdouKyPA= z?N18W*&cFlJa!1^?^vTBI|c0Q9PnduKz|p=#dv1wY2{au{p*t5pfBo&Ii7`pA5&_y z(-^SRl(%E%IX&u~{PWg{sgR5MTHld>9WI&{u+t2=h>z({c-3`m+N1-2wf* zAQ$;&u3LKt?Cg{GBU2al4e0M@_+hPk`v>eC0J#^>0|WX8K`!E9=GnmkJBL6n>Vdi6 zIy7MCu)IHJo*f>rb41>b*{>r5c8<#1G5t9@VCNXf#W-d1<=BA!ae4hreLFs&e*)xU zoXvim7_f6vz>kvy`lrVTbVYP550z|M7$d-1$Jpnn78UOaCM=-&i+Xx`o&uyae^kIcB-8qmKDaxpGu zJ-j_&=Z?G`bA0a%*tsij$Mom!fSr3F_r~Ymfc|}X{Y+f%59mJt`TsF?)p2qZOL%a1 zcXtkQ@!-itiIM~YgabC0O>W8ME}R5{ySu}~-QC^Y-QC??Ud`-Rv(??zznc8Jk2egSH$xt^e!OMyydCnW{=8%Gyc_bU{=8@KybryYzu7(32Zr5;(2M!& z%)gHe`;QI#PYnA{p||q>GlS=I!;dcv`!7R3)baev;Q2cA!>Nbg81~lXG!QqJe+#F zlwrTLVZV%Fzby139%{W^&frz zW5d21^kN>Vd0TJrbT7!$!{F&zkf)cy(;IpbS0^rg4Ew$X{pe@#Y*LVCQ-f!-kVnn8 z%?+L{pcip*>h_j~{Z^qLYQFS0cm@>YX)t&O7UUUZ@C+`1Y*u}8l)vzxa_LHEu`q5^TRpdSYsJO@D^%j<&;`$M3Q<>jG<{b5G?ha2`s81_dR_D4Y<^Z#hW{ut;*KB)8R zScB&{=;y872Td3=uCDv>hTRDT+dt9ZIVt2(^ZI0i=ahmxry4w`K_45J(+&GG4Er+; z`?C!D{~7jYhxSgLImfU+7kZIb>Uf-I@SGp|;nbN64Eqa1Kh*rb$l$pcdh5RP5`*Vb z=tW*QalOp2zZ`lISG7M^7(7=NN< z7vy=y;CZ$n&vORP^96ZcFnC^6c(i-|mkgelp^xS5D~A26p}n)-yk^+H4!y`bwGO^v z@Vr@&=PiTh?T|;UEAJRQ??NA&kM9}w??W%@f%9I{2ZsHJM*ANb_8%MepBVO^LLbYk z&kXy|p||ql3xnrN!;h~F`>#Vk)O`5H;Q1DMYk&8h!Sg-zBCgJS`@yjP5qc3<2V>)v4KjEJ7vvdY@C=1s%rED>Hq5Z!8v59H3^(jYg!ayO zj5O>=K`-K|uE(Pdo-xqJ;;@ZjKNkAfIyTO*9}m6Nk8KT}?F#ZtFnG3yUW}_VE;|_Z zI~Md~qQSEh^j5uTEZE-8Mti$JFZ%7w?_CZ1Qb9i^89Yq|c_te?<$^p@44$db$Kuj# z*jEbrv75m&E#y(_XN$ozJ>*gAMytWoR*+|g!LvK`vG}$d_8kTN=rnk`3i8Y}c=mwa zy64!_;F$%zHUIZAc=m=q7ThpdE&;A8@4lsBQ40+UfaFD@sF!Zsw9AelX z8v3Emqr(iI!wo-0GUiN{HX z{mIZ<@i@icIkh0qX$H^fA&;8xXBa$ZLNDU##N{l*{(qq#YQCRs@SIbS=Ujv5Jm^J# zoc+rAhW!PhA8K4LG=}y|rFkZtz?I zy|sQ_Y4BVHz37jVZ&w@k*BJKK8ur&gKTqxbv+VozuQ%*&fZm$_HyS)QK`;96hJWqN0{QErcdv;HIdjE6K&xC%cb^KX_ z=edwat>e!dJTDaFdC}l`33`#APJX;>*uP@fziQaO2E8@DuNypX7=FBI*uNF}p^op{ z2G2X8A5J}f*RX#tw0FkieZ&5P(B5hPL&N?f=&kYi*x>mj+_3*5 z^h2F*Um84Lg*UXT4b1uwTTmU(~Q) z40`dLGy9&o#SOb9jCPka?3W7L&AuONX~S+A=tVxOb$nTaXSsqr%Nsl^6y#aa;8_WJ zkq6GYva(^nO6Z5WPOfV3tX7a`b%SS(f;?*)JZptK>Ughh@T>#9pXciucI!bO8<+JB z`wgJC@^wRlr_S(WBg1~<(B7#t-3Ntpp&#n{ zIK$xCJ>*gQ({Au|Kp(p&=``%SLO<00%rtoRfL_!sXTI!d*v~5H$6f}{-i9Ch820-b z_WK$3`$KQlzXJ@O1EG(N>p_P7!O)9&r{>oo2G60;$Hw(A!~XEl4>iAzFnEp(dDQ+K zW$+vgeXKvn81~18eyII9&fqydN(%^Zj zAkWhV&oc^-_I(=98a&U1JnDEoZ}7Yj@~Cls(cpOrdTU?uvcdC8=#Sd3R}G%mLLRkW zuNypXKyUTyO@rqx=wo&JZNvT@=*2u&_g91Gw~$Ajf4>_%e}p`0UHa4D`3rgx7w7)@Z^Qndf`0sK z@cdVhCz;cDF9dq)K4x}7)A&;6j^BO$!K`-V{_I|?rhTQ_t z$M%;C8ukl8FY?SeZ!B!sF9N+a9*Y`0ixuQq+~8RPdOwa!8g@&C?W^Osw867XL7rs| zp5;OwwT>)r@T^dfXGMc&rI1IB&&meRDg}8~HF#DFdDQr!@jp+-^Z};3%wX0HLm>(o=pn!Y-;dqR*+|NgJ%oqV{zTmu-~enAN>uU z0R?#)44#3|i~czEVvu1!82Z?K)DXjdsHgWo*D}o0`=4vs8hVju>UB2S(5WCz23N9aYK zsBxHR@a$BOr_tcq8G6wlXWs2%*zX$pq2@=);F$z{Y`@-Q*iR1qP~%!Qc&0!fi^o*M zzB#ma@}pwd?`GIfGwfTSxAJSc!P6S@sN>pZ@XRR4v%A659`dN;+hOo@dU~q!6UR4~ z+ox9=vx9nWiV3jJ{Ig$_3C4+-s^I2>x&9|pbEkHZa~BMR~yY499XkmqQF=NRZko;qbi@7(=&d-MY4DsC`r*uz z{~7jY7xd#CgXi3WJm(oa=R+UcH(X%YUl{tKu5%X|JQo+_xy0bP6nZh=ocVH@VSjn( zhq_K)VeniDz5l(JR~dF!7i|9;gXh|UJl7dK*FztR=M9GajiJ3W?{6~fZ#L|2G3;-J zUd($nKW{U5ZV&x%^6C!5{?3Aa+-30G9rCF8d5^(!Z$X~>44(U;kLAY$hW&%ki*w}Y zF+GyxA;a$BuwADPKVsNF3cZyVj~P6VLm#W3PZ;)3LLa+#dCIVV8hX(WH6NZac%D^w zwD(J%GkBhdUgU!_-(N87UsU|ip1Zze@Vp%Q;mp@p4Et9N`_~Nn*F$?J4sRItZyNS* z8TM~OZ{@{12G6^OAMY9V?}vV<_4fmV=fi?L9~nF!hdk?xC2G8fv$L7ly zhW(eJy_4r(8TMa?_D&uB#<2f3w0GM7&anR;dXcAUe*9qY{Al>`lVSg}VgHL^|7&RP z%=h06``@7#aZvN}4}<5=f;@j2Jb#Bg>bU%4@cavXY<>LCuutZyzW-sxWj5eq-ybr2 zL7q7bo;jfx`<3i{in$ECxuLh7$IfH$%nQA!7tVZ}&#<50uwTHiUofTJtsu|p2G1JM`}JT=!)`6;V|lT*VZRRaRy|qQ;91Y`V|~MZ1H*np z!@drBYo2Xn@N69V;nbyWhJAfOKe`({Jq$m38uqU^w*w6OhR_dndsC z`=N&YFzBs3+uGn69`dMpGQ!{)34Lr_Mj7^_3;Hp};MvCTW2|96F0^;**m%Q!Tj<5O zsPWv+;F$ouwZ3d`@a#~~pB)XJiO|Q!cPGQX5qf`}-r2C*1$q%rb-wOu@RULxbzCMH zJWU08CL28EkVoy;6oY4KL7rxVrxNn0@!8GbnFhVc6KDRk81~Z(`q66ew1qrsd}kOu zyN5h#T-ptuj*v(7r_myg0<*IW+XcnRka7_J@alsPQ<$;5o7&&rt@? z(a^`@dW>OzY(YPcGkA`NKK6X*1jGJB=wo?$l3{-`^kUwr<8q3@b1L+)c%Ek1pANmX zA34L|ITL!TKW7;{|ASui$I17z4f}IKduQIBYuKM>*q?9MUjV&`gF5doG~nJXaOux!T~l26~ZiPQF}g*k2d=p~mHUgXf0O z4=3+$H0*CO>~A*gZ-HLqtvW8Z8a%fZ%m)P)xe`xirdr@p;p*uM$C@u#cr8241)JZ?X*i!DO zzJ8JX1st!FO}p&U(9+h?*(o8@Nn5U%_y~Z=491@SP(ewcRF4T&7I9{trZ|s%En|N z;P^dy;v2Vh|GJ(FdvdZLS6|<+?;?=%yzs^)%eAztivlP5pLGRDw z%^~;e^%ju(dCm2DOXzuDl;(9S{X#bF(OS!;a8lV^bOy^}?J^DEidcU88!gj0sgmjxmwu8fVYkFE$hCpx4zoEcc^<@}v*7$D? z9FGshanykNy4{9D&UH1-KW%?B0yt4GM~eyjVAF~IS< zLVi2@j%}cK;;GEXvA|jNVjOTBC+^R9$YcH47J6&l*$y}n$84WF0dkR#**>~2@^O3U z*)NL2Kw4V+?ohDZ9V6{dgq-II^>=L7q;}q&ly-t%T&#{ZL(l6>$}?bWeYYMccopbH|J3=o8*uD*%^$ae(|~ivQ<;}7A)mTW zonFwt){qbJa{X%qPOKlbI!$wK2J}2HsGl`G)$!duJ&m6@kCz+Up%?Q;=!pR5^^VYw zp=~YMy#cL$Nzw^Dk1P3+>(fI@7xbJT^7Z2F@D4Lx8i!?@+H@@=vV?hXEH`pAQdt z)Vg^Da2yZnr&>3U1kPG#j{;7tvtx#L@0T16Ij`f?uaN`l`ggCZ@0KmK$9Q`3gKA{I zx;`W7d!|eAvCv!d?Kt3K^X+)(t?@bmIBUF4)cGpYD^0YRS2&%LlXO1DVKqsTlY!%P zn&OmpKRLydQ+zV{sgU#drTHRn`1l^-G~mQK}vYF)g(CwI4d6K0>}OlUqi#T z-RsYTJXY_{ho1dR?c{y(1)kpT$A!>a{kRA?s~;Bw7aP}0ptt7jrND`J)YsQ_?|B*I z>@W3a;+XPex*l()(_(r-Uj27Da3U`xE?;=B0M44nR|3cNg5sRrllSh{yHDEURnT*N zCco4=c{OmcI(ZHB96#c5?g6fap7VkHaP9%F3;j^<0j>vbNyIDVnOtsZX`5M@)Lx-S z1nH)N{@nnaHSRY8$9@x^GoNpQp2w5=m7Nc7hCGNX?s0E{UW|8IPqLRu#CS^_ zcPF_GIME+h*GPvY`A@fdL2Uy4V%est$^`Qy<0{dxj&tG+x59Oq>^AGPNp zPXWjK3GzdnC(4aahde@`cPDwKpkL31e5zm1c{uV*ombBT$N5S9RQItjc(^qGwC7PT z0w?kzJI|z#OX>DB&xeOeH}QF2V*+QU6cKLgEvAxH9l_w7n|pAdF`cfNx$aOKYzUKwHF(=cYx#iM10Qr z^)B?Ht~%@2d(eyg9!x7zKEL1h_{op%z4}h>sP9%?$UcDHit~rSS#kcTAm7I!pL%Zj z1US(@F+aW0n|M27# zr)(nr>B*@-nf$MU?fng0EZ_bq$n!67Vtr8WmHq=x4wy?+Be$2%6sWr2&uaXIMO zU*b{MmF0oscynA=fZUpoD+0&yBYSl|t^}MlPAdb4KlwPV0s+U3`ZIbA-E3g_OIC&6 z@5gG8^SYVFp(Nf9SRHzvm*l^*uUZ3oF&^svb4}oQJ`s<)k68;ikso58Qf^#3bq?Kc`U9QLLZB39rPS8@?Wh#8v)1h zr?{&1XJg=;d{y=x-Mn_Qd`)rQdq?#J`MMY6>j9h<@1DSMT+{x_eO@o-D9E!Va8{hR0xlNk{$6|8JXP{?0B}4XVtLsBT&#W!40+W0 zG04MZe%1C{`Fo3lffM8A?DvO2Z^daSaGY=H_*K_W_qp;g;9_~OHS|^<3{v z@^BO%bv>U9oY)sQ=fE=bB3|l#Yl_z%^;6w%O$E;CXEShIcZhFPxzf?WFV$C|=XpW> zQ{O}04LCm^_&wxl1^sCOj_U^bjfV7*N7; zvd`qWrbw*3LKqSeFEy{Y4v2WE`zNl)*8YjtDegD*r#ep69Znv7{{C9wpE{nLe~ioc zl=YqGA-7NQa@H@dN0whap4=YssD5!iTYRjy_*l<)>Zkm@_B?JpPV6W7H>T1~&n3I6 z&pNnXiu_Rb)tuiP7vgc=r)7JNC;8)?H#rYD?qu(rHTzDD zdVx>G+qu`F5zG+1fwSV>2RNR06z^f<>U#F%=kH?t)%isq70Lby`|NWMn?TO-Pv^7t z{Bu*_xSe!fXzyQc2AmTgWk0jI*Dmp?N%tY9Pb0u`K*1Oeo{fdn!I+2PtAkLz==GS?}_E_ zlck^4NdIv^QvbyJsd>SfQiaKNS-!WN=lxXR1fRs^1KJFnl^+%0V&kwI^r9Y%dRcCq z20iC<+P~VqE$?2^QqZ62z={5;@oxo=^N{kxIghkK&-0Z0a?T?&pcmsO*S$R6yNCWr zTpsUsuRZdI=Y7W20e!44bn5=_ePZrUm+lYaa(`xOe9FFK58%Z3sr!ySfs4g^7WA=r z?*%>2({w&--}kXMaQ=C1AIQac$$6B|w|#*V`6F?8Lhc7#EU)*6Uc^Ps>jQwZ=GlS3 z3BT05J_tC`PxYL9FmS>@b=(dq=-;8Cf9g5!FwH+@zkhhhr_P%rJRIePd%uRvKN2|J zkI{T~amf6mfD_}P?njOWPQ*{W4?8C0Q`gyJfs57A(fKOBrc!VX8^}>Nd1!Ush=78<9y!rEa*l4sOQK30VmFnBZuwSv-jBr z?au*jN&HRMr^(9aEzX6W^Pc*n-aniN9FH&Y4JpyLMYOfnKBJIA&IeA^J?DIN0rZ@w z#N(W=E`*-j$;Mq-S1tmM^MiQQ`gAdHR{t&u`P6gPr3L-FEaX%DyBs(xAFcq7^N#xK z+}B+RJ?9I>E&Ke#RglktzhsyFzpL@z%t!dz^8&gnxdwV32ePZ_^IbraTnikJC-G$S zkMBvYgP#2&p6vSru7_OoTdjLH02ix!H$rc%`!@mSulqMc&i#z#+bzIZ`F1OCBLBs@ zUT(ZC5=UOf)>dv^mT#!FrI?g383NnQ8u z4f)jZzc2Jp-Pha?oHfrM0M4He4??~y{-*O`R%^Mbx%#5$jPzZ^$@IlA4?!>Dm3>~K z)LNQUD(4?#OCAPJ#7phpBf!P-`_Y0tkA;4zae5p$D^5=UC&p2&hfjw7sd@2K$fxGT z(*^x|CgfB7dp7h>9f#+D6XUAxPoD=))Vu8adwM|r0{;5>^&;dVAJjO#1RU27s+Z35 zpqHWNI!1X)pDXH?yb@{mRmizM5I%eV;x)(@#9wM>Q2ITL{QXF;L(cIayHWJDlr$Ui zsgNPw08Z>Ht2nF?Z$fY7+grd{`Svz&Rvg~}j{8mh8#=n7NAGtb=lD{;MExx{z8Cr- z^tJl@zQOZBL7oqRbLzCR-}xxyQ}+`e7v%e-Am69JiFm8?=QH3qUnt({{P`R>5r1cY z_yzPlzlg`#AATA7qt2tRfD`$o)|;iFhxvgM@lxx`0>H)ge+w4mSqM0hS8DxTxFFvmhF^<@JZe5H1{~Kh%7=mFj;@v| zUG2_Cj28!v{m<5A<-PhPfa5$SKJ|IblE88P#OlFPz=^uz)PtqH_ENvJd*x+-^XJX7 zkUROQ+>0#-9QU94<*XZ&S=j_$9yrl2_5FbrfaCllKK1>96+K)UC+%|)D*+eF)0Ls; zc~3mG`vUTP73et*@MluV`#$tl3;MGfa6C_mZ+NAJzU3O%QL97G^_u*_{_Y)=L6Y|>A!75k3LhX^>eL=-P(|Iykl`(2e?=q*M(k;uagIS@3|gu>?if#$=mfk zz2A=wp!fT~A>=$?$xgiwtOHKOKid!S_quHaJ@3DXC;R@RjU(-LgWQT=J#ex3b%&nw zEFFg?Wk1~mIF2*LPhAgs0vF5cUS4~#yzUJgk5?MklK4DbALzw7%6XpH*VB`I?Rx4S@Uj4$fxf2hXQAf z_b}l6@!lG8F(1|SeK>GDKWLns{T^O+Pk0f-Vx*a?@*=O<{3${P8VEa1(XXSlk#GjoZ7kR3lCw2+_QSSqG^>DF#D*+c9r%BK| zuGk6SB9MTIW$hrJ>C@PIWMU{qW+W{r$WzpN%lftt540qi8!nE zpaL9^C-JHK{oTBFV{x7aTrAEl&^vKf*8AyRd*qioA6kLq@gTp{&nvZgIO3DIe8HRH z;fT+Dub@)O=GE@NiMY8qFt!6{^|u2!F|KNVI}7r4737-gd-z(V1YnS{}&tdxlC)PLTb9?(iFXnaj+;)G+xh|6*S)Lpa zwyW-+4g@YXZw`W<*M0JT>;U?Z@4=CF4}o0NkwGn89r<&@L!qBL^D;@le`46MNl9`T z3@Y3i6!^Tr8i?3VGCZ@qZqU#!;;+ zX9LG^pnPzikDLR&=%3VcS|;ZLXXW{Mz=^z2^Za}dM}E2M6V|Z{faAKI_EY=5p9?kr zly&WK8zNV*9yb^j*pR?z@S3xfJdjq=l*=54WabxP!f^;?Xv3hb1^rHVxJ-ODfzs|6~ z9(wECc>{3Vzcha7=O%B2+{s%dFKz2v7PRM!O(tMJ?^LQ8ZVn4(o6Vk8_^C7kc5p^L;h< zLC^U|Q{;N`Y%xf>rcmKB(((!-XYma!;b?yn^7D$cgAMs`9z8=-Wz=`ov_lfTTC*r2w_xtp8$SyD z5c=AD_!u}Vk3Rv<&*M)a7jaSR!DqmUIIH{n&w-1@=lADp$YXK+ z26{2RYFxhsPQ*oB&%X0;X}!^YfAD+YtaASGJADB6mjDHSawpH4SLZ()@Q5W?9lu7 zLUTawuRC)>&htO3SIYYna{{*E*~`zJW-&_}S^zliC$%qe`3_>ig8nQN@n_-CA9WpH1UQio>N>t?LB7Qb@+}S= z$C2Wdoe!6Q+|Q3CA?Ib6>s zmJ9jRdbB)nd>$shocBCdfZmVCijc?F!Ihxr`Aczd_6I9NZ`F%cfD>_1>&2?TiMXii z#%jQc{8#VYRtL_SPiusH>U>%=^iLhPwSW`-RmW}Z&_DTkyZm!`>xBMET%K6#hVAxm z>7?KDb-yMvSubo?-go77X8o{TiOcKE2EbY4wqeMp?$7E%K6QQE2sp8RIP2ra&|CT0 z4LC7gYJS#x?a@4|?KkKyygT%qZ!}+O`aD`m(gQdvUOj<}?T>nS?U6s}`0%+RAIILn ziTNUNxo3SsztsHh3!I3Tn&16^v*N!=$fw4CQ{b%ny%})4F3>n+_iCFL^k<9EzJK@n zNy(OwTjRDBa3Vfgo=+;d_wW6I6Zc5jy-km7H$lIn4ZUBt8zATLq;cP_+}_^R)P`Ri z#P`Y!1diiRaqw_dI;gEdz*%t}44l6%4uM?6Ma`R`!14M?{y5J!hJ`$8{ofk6*t{4H zJYdpp4KxDb!nx0D;lhyDnCzWgNH0%zsHc3yja9!x06 zvwi57`nyd#0LO9g#xJjvI|9e^iu_X7yNMy6+%M#OJB54_mybXra3XGM-tP=tEbn(I z$g^wcm%4u{0q4X`nMad=v*u9~aJ-+Sap3b_7PHCFb3Rl2S)awK480YnDZs_zG!=Sl z9yS9f`lZgpiih*^E5A?N4Y*i+ma-T|DyUiQLz*%|Sp3-VZfn+d%bXSKfV z0i5WM`&<_@e^1~zzo8b06SDf7I`R+t<;-lvKp}>jpmhZQf zJMsR@VZe#~W~Jsq5I$!126G=cjgG zbqsK#f7$PO9}9VGUL6O$h_gDcjt5TkORkf7zfJ&-$AjV|art_BB5-n@X`v5px6|3E zM7821=-F@Lao#&P8G13#)Nwl{^hX`HQ-R~Wr8qmkV|p6&TnEUXtfHL`xrmEAx8-p; zBlJV!^0=G{9M>iCL*0L#1)Lb~k)sCIC;uyGe>QMp+|_mS9N>5y()^S6Y3GJKLSNf= zo@el!Uy$bl;KaDA_2WX|xK5?{(@eK4rOxbeX>yU_&&37(xx~X!eAMUjmjcIrlRxP` zzukYfei?9lej~o@{prgg=leslcix}A0{YlET?xGyZ*`om0?x~4K1b#Gd^K=lo~!li z8sMyazBcqv&ByC>|APCJ>vjJam(RBwfQ!ZL#?UV{ZZ`qP<4fbF)}xz&i>K<~w$ z{m$cmD{x-?8JG9(Hk~gR&)aoA#^ro>0LSx+`dK@#(pr0`*BofI&aeN z2e}(^v5)CLe1{=@`(gue5A@t`vQyXldp#WaA#r(s?gP#mxBEjr^*r`~ha>;g{q%#t z@w!g_sr%`NfQ!ZZVdyzuV)1?iIBOn03Y@4D>O6c5I1x9s4nGbY&oA=NxlekcAkUMb zU+RAFsgO^dhff0+n}^Rp&v{7WSbeTisUBpWg`W2>)Gz0`%X83M@qQjSE8Z^v7t4be zp||qjCE&!ksquLkIG$(JKXu>q3UF3GUj>fmJMm@rwXZ?Wep8&~elf3iuZR9fTt1)Q z0FLu5n}4Ml?QQ7~pO?ywZ$dBPt=99mfD`*c=X)yOhF*-n^F5XCK+o|bKiu;rdiE}G z96ySSi$l-e1I~ZH>wU=medz~~b3dtlbzkx!aH1d1d&VC@FUCiGzWlM*UOK+n`()mI z$0r5(J}t=inZ~D_w>}4s$0PHvhRgHk3*fBz@g;Dv`teoBqt?f-f#Y!^ztp<+O~|Lt z+iycY^|{7(z=?Sx-t(-KzE^nsy=qzse*i8vPkw}6zCT_JTO~t^)rBj@Lcnah{L-2fc{5@S7foV}L|H3w^C$ zvjNBBN&aLG%W8_cv`?~W$&UuiIi}w4f z^8&}?NA~JIZ$98S?!@QpH|B?4%p+&Nu>kZ|d=>;QR<{;{p5qt91@m!X;P5AXuR9y3 zMIhkyEbWK(xs*jC_KQJowZC}8ehJ8(d8|ASS<-8V{8!hjrGVq{OUGH8e@g==_BYw{ z>}5iK)ZZ^#7C7GDkw4Dwmn{dq71!l~+hg2uDf}>*9T6Fzr^M7 z-T*j}PwIYWL*PVys{5Tf;H-JK5pe#z+qj^8w}^c`r*b-XtT{ZYqzQx8Y;K|QZ* z7W(C!S2l;9?@5WrdCzhS=k!4$x$hh5wU@3B+WY;(y!MDk-7jqo z9M5~=Q};{5L%*EokRzby{7(HEFt(n48?d_19SOY?CuKg30#1y#I-f>+IO?BMC;9!O zF`-}1{(2keMINf}RgU#=Y5%m(i;M%#>8JAk;dtP@d3 zmG9eo?NL9~{mc%)IsH_|bH|WR9nXotiE&Wt!A>EcTE82C{&z*%vc1RReu@u_iY0*=R-`sJKkCPN=v zN6OH1JtKQ@UMx3G3H=cId^?p)^>DGgYzB_~rG7biSt-b~o53>;dMD1xylVl@ns?I+ z`qgUq)u#ES%##^jd$IA~9XOGn>O5%&PV`f~Pwptl*9jb-H^@KdcbdDP=W+J)awhb# zyxhanlYQ;|1DZ#BLeF_i?bq~_mb0K2aZ%^(UciZYrtXjS2F}YTp5FO>eIMXNoSk)u zT+1rNz9FAHN9BC`g?tj1@BjA)PV`q@w+;Y~_Y)L1=kovuhJID+4%ac%w}XHaaZ~Hl z!NBqT4UJ>={ho(Fjz4+5Jrn}b4>g|;15UKB*8RhQrRLG;z={3CfPsDL>gzEd&VU|&@_aheiNKl z{7&m&u%EpEIPP~We=Y=$=K=Lc9jA+ci}mYb=ZT9M?_q!`ate2R*OX#3R3ts(d~4>>t@XzvpoS^j4nS2%N|}wXWV2@~P|P&A@S9 zkYCPvc}vKn*1uZ|`gI#{*8IL5I35@BOFfs}QP96Tfs57CyP)UsN$1DN?t}CCcQ^F- zljqMp5b(V5@+aTt+zXr-H+A21A8;ZM)N#8XIF2L5NBw@$2Q>eb_3%O9M7-7c`cUYf zy6=2A0ZA?zt`C|qe7d_$3lP9cs&lB6|W~kJ~iK; z1Wv?Dt=CThC-Oty*XQ^8PXj0NL*nv-=rh1^KPX=6^RH(^|J3>OTtU9)ffMy_TtnTk zy1qTD1@;B#ML*Sb;l%i+?JCu*kI`9VcV*aZ6^QPAx@u>Op7I4;hza8?a&eNVK@+<5 z>h&JvJpU*z;{Aq7>HV->p|5QmJ^;?jj}JpWH9tNA&WiKLz;S({emUp(PoTHr`zdgI z&LW=defZBH=Y1%}XXJpo{@v--h`#B}_}tTz9o-T4tLrm@J{&^-zJOljoqGQH5;*QJ z@u=sYuYj}q^R?G5@u~Up4R9h~viHTmg`E3M_Rjm_-$5_(M%=5F8@~_R7y7*1B|iYi zb&=w$-s}GeoOQ4Nlhi`{SLh~ zo_~1l#m4i`f_#4!qXI|INLHYjYAK-W#$v^eH^sm=$Fh0G~S(7CH0f#^NI*`m+ z)pH)C`J%l~F&l7VK39L=3vw&oa{$NlHWu$Wf#Z2g{;2zR0wV#q)>ls{L31I1v}M9}9+jYCjeNE>^!6hF;{Kyg$tI zZxP@`{z+WEP%R3anAgs8zr~;z-#1xqojH2Uxccr{;w=unh_CZGuO*=O$7M;#MZFa3 zXr;6i^dhc8pSzzd4V=g~HLlA57mMq%1$mY;c$SBr{igg^>);Ardz5$T`nDo)*8E%v zI5EGo_rX{8+DYq+_Pung04MTAJ!h{99M6}ueB0D_WHna zJks&f?wd9Mj`NK8)P3WI!120He9k$c4tlX3SM``;8$oZyedEv{wGMUzj^j!Gh<#AG zu|DJx`r1CJJ8({%YWG-q9qa)dk53k-8ZIv+J%NkmX)mw6bo{jUGI|3i;-${FKETE5 zQD3jUSRV8P&dP&L3i54QkZ&{KtbT3|oQS_#SGE9-^N{*GuuNa?(A3t{RH2n-OXxXo zDE_%V9mK5)`qMx3M}2NO061%3)c~BRyV>W&2SRSumqEaZ@l($wgMkzA;rAD_Tpt2G z=P$*F^;wP&_1ekuNz4O&pJo_vTrY^nIR|VFz16Sbz=^nI=f@F{i~WN0J>nyw=l8s* z{T;@2Pm)oPi}^11Gx>ZU4V=g~iOc8v7~rgaYy+G%K4XEi=EFGPV)K4{$fK@v+X5%% zgY!AS?Vz{fH32v)UfTo5>pSI7w*T9~lhb%*@*N=;@lg9Q5jYWF_1<(R;H>%B2%N~f z?3}YR&m5a890$Q>F4;fI-7QFO6Zq5Zc~910i2cRy94Lvc{}7HuhjiV z2XL`E)Cs*m-@80H&-a-H+ug%xch7=6vkacSpy&CQ&i8!3M$douhMw~vo#(keUnP=c zAK-Yt5Rcf8mK*nlUd#ibukBa&1CH~OczAuzD$oAVv%lmI>oac-2>lS};Y#Vi&<~-n zb?6}AxZmW5d@h%-qXz@W^^*LNxSa41uU+C(&%1{L$NeWh=icuy=(+9^kNTYFaIZb$ zQTIzn0B6mEBY}&}gQKA5aUs8Ic|v(~H1r%#@~5WHqm(4a04Mf6)7n~E^5?C`LeJ;w zG(N)y*LOP(a`unfcb*p>4?X8++P-{VcmnjCpRw^d5xCg+oCJNW?w%alJ9YPz(2wDr z<;iWW{Kj4SB}Me_RN#0WqyAL$X=-_T`eid6GuqnIu$~5-l`p3Q$9|{rkm0c7xTZ|_&?}5{$wxowfb;2a3WvT{lGcEaXu2C^ZvrQp5D*b z^Pso#^?ZZpf`U930>^bE^~bsQK*hNTI3CY*oE#kH(#61u@e=VYH(mn074J)d6Y*Bp z$;*J_b&&kZ^7L}Zt$tkroYk)@f#Y$ZILYS)d0oEBYnS|yxV++A4V;LRSPv?tYoHf# z68fAbxfVF~pZrqm@^!%Zak{>s{SCmy=IM>lbA2K|czw)ba})GpUa&sv%+1jAJSKbR zIlwK@i~5^A2e=h-G0vmtYt?AKoNuYKe7Frb_K(J;ibE)Ghu#}su73IW-r==}@nu{- zFn4Nv%6l$%0Vl>;-N)Xo@zw4Ja{ulr=-<6wyU6FfAAH|%A8=yao%@FSp%;1V%=ZVp zb|_v#U#qVV0%zs%Lm{8KzjzopQ9smk(jy_CdQN)O!%@7{ebi&Xi9B=mQIA8<@gyGS zeDp+U@2t~LLT~l!Dd0q2sr`C71>pFcmF7)Db7yl~YXv!)PPNA5Mc}M?`;ymgY~H>M9LFs-FJ1wT$C3D)dGRXr zoCn0i^)8#MuR$NHhp$5~##tSgH-O{)C;8#LPx2=8JZ|Ji_P)ehkjLJacsp!goj>ms z#Jvj~$Cdn4^YJ|o7mNSU?3QzGK? zg?^~@Xnx>CztntK0JzxvSrB?27xG7~3k!L;EDw}@{KCLl)<(6!dRR;9~o+wV;pP6RZurs8c<<*LClp?EYN3GlI11IuEJ-=@NoRx0MOnX~XX;R7gT7#qxIBUE&3i;Ii+s43gKhpSU zpL^{FoUG%eN;&@?p!$M5-3^`|&|CfM30y2+dOZQ`-wil zS>x9?etY=7P^csP0fA*Z@bVw*Qa~(385eAIBySJ>>RxV^xWSx-+@Yjl1v1S_c6rd+*j@dJ@=P*ocqc~=&icBGjJkr)VjF~aJ=70^F}*Y z?+Tp1A1p!6bt|>k_BE5dcBo(KzNQH{k$>vF&Sc<3|J3`hGH|hZF(u?t=fzYHNBwlp z4}5-Y29C#<`sv(bR-m`yy&G_Tyr)6Vd6xO1)X^5;M10gbIvqGG-mM{@8t=A{Po4KO zfQ!xh-J!So*&h0(_Om1OORWQ)!0|k%@pJBfyP&t`-^|c2b^h%EoYPO`{JJM_JkQ84 zC;!q~m;Rfj^YK0+KL_ol^D!>3SbGD<>sXp^o%P*EH+2r^k+!!F^!~nKUyq;c+~?cy zWIy0Ip42ZF2T%3~PUNXNeg}B%X5-g3Is5wl+P7;a$$?(G3d>;7_=wo&KQ0PT})H-(+MO<$IizmL(hIu``L5!Qy>@PtJc9&f#dj)y|e#0&ErqwN56;H^K{7lc%K0| z$CL2#9FfoeGlBE!NihG<0*>>K_{921@B2W{`9uB-eQjTPw(b`{AJ6?dNB4_yd0jf! z!)1QWD7AOy$i}ohCFcRh>uu_v_T2M);KX>T_2mNKV(Y_&&|C4p2skVL7X!!f#dzku z z-3MF)oE3*_fs2jvbp?5@H+XJ<-m2d>0>|;B{;B(kn}8GXlJ}eWJi8etpEaDE-Uv!FkB74+wB z4@YrO^Z6d&IIgj}bT4pLUAhlAULT0Bwm#DOc|Y_#-jo+LeLjjw@&IsLA5xx~rEYz? z_o@!egPuO+k@|idfBbL)qJv&QWa;P}1QsdQd0wN9=~E_HTwtXk{Bqrh?h zrpSAoCi;K}^6D|*I1h*~(>xA2uV1M>z9+wwnm++O$CvDe&Pu<1sG7IQlhAX&Q~Tyh zT7a@Eh}?sxBJDrz$;m$R>lshZ{yyu;8ULIoXZ-V?obfMsa>l>t$r=BWCujW2kn`t@ z2|udRNk50xRvmW^z$+2^S0U$dCVPMVO(_~*1CIAm)c(N!_1)@U_juXgH#|A}`zGXE zUkE>(J`hwL&1}T03G-IO{%udr?Y-m4xxIHGm-$J*66ywrntU%}|Gp>Z_CE0B+}?+f z^Ljz}k(DO;VN!atJbPCh1M*SC{$o$h?S10OxxG(4IpaU` z59(Te%m$pl9?cH9s2Az`9o5exaxiFI=KxN|qk1l;TMQceIictMLz=(d_xERPb4C1^ z+mmx1%;U*959amcjGxbwGk$(g&iDm9IpY_ET*RgJyhg-jA>c&a$Z=iMlVo9!pW9u; zlXJU^hV53@xAf;8MZ1du$LAfgui&Y3voF`}e@{o&pI&{{I=C$+?|1jds?G*sTpY*Kuk`zTcB)*gC+;xYnLY zC&{`VKl{6$Cue`x58E9%t0})W$lKijINl$Vy})%%-w=ASPFBx7-iD(t;>SjzAM&|D z?#IT!iT>y9lqj#ddHme}dQZ;%?+!VicL<-}o6(LkT{V-WN5rltARqM+*;KcgfzrEa=-C|LBNydBp9Jg&fImc}~PtN!Wo}BU9LvH2u z4iWnuA-D2+V#IzYPtN`}dUE!6XHU-fT|7DCcZHmvFA<);hooClir^ z0*>QG?MYm^<;(s}_S#{8%buM5odUVY+uEg5zS~KXslf651=*|jRLx#H+j9JLHO{t~l}Yq{G_9Ocdjluxzr-c`K+oq!?)Sc)ocq0>CujWro}BRqK+exI z2|s86?TY$f9vv95I|yOO-64>Rd{yt`4vp9!=E=E#hkJ7F-w}|Dx}vTp zM*_$FA$#W>bCk!=?H=vPx!q$tIpdG@nrx8+&T?_J{CJUA`i0&#B8-dc54;Ri2#NyBcz_E{{x8IPE|hq-#8V z+P|hsYnk6WxE6XbugB5DqDk3PP+kORK3o@R|9Z&9IH~jG2Cp6RBi$EOI`Wriss;T< z4@do1_c=EKXYChm22RWywZ7g09G}0*zk%hMZ5{jo`c~-uJh;u1^SIpZ$$1>_@Z^lY z(~~p)E>F(*yCD~G7xy5wfx8Dd&JVH|xUT8n( zQ=XjLeL8Gcy$5(EV*jis=k}iS!i!mYK43edXYcd zmFdc#&g7^-)p`9AaD4AcevB#82Ouh~)eY&((EIc26;ICozv{`kzpr_6#=j1^$W!_r zDe|*g>GB=-8^Fo=QtoJLZ?5b`*UDYf-}Lyo-M2hBxBIpyXZ$;!obm5^a>l>s$r=B? zCujTzo}BR?LN4-qKznKOEOd~kYw}UV{$o$h?S10OxxG&z7x|&?r$39>f9}b-y)QgD zxA&zdXZ%;5obg{nF6P0Q65X> zTri3Ls{4=Gfa89Vy>q^s9eUpHP`m1TDRThF&*_LKdoN{9$o={{mnUbx=Z0L&TXi2c z4{+=k*{kS4R;xqFRByK6!& z=HV#%IC%TyN*ldkY z>a4^i8-{+2-m}EpwOYsPB7STHIoDI_w{!ouam210V1I|<1fyOwYc{Kj{8Y`0@pQt6X>n`pG|@D>+@!woa3;$C+9e9;mH}l zr6*_nR*+lc+&^MJ0CHaUs6BN(ZU9cyg={?@7`Cs@>p_wB2YYhv?+{PU{T&Lq$dhcn zOMkzkHmXT7EMmVkY*)9{G>2*^2K$lo!Qb~+<=RX5oqBX*-8=e$krv~$~N zk3Y>vd2Sm6z39KXf88eH$5>C!@gC>NIo{(vIpeqW@7FOA-4?5&4jY(IaNdt}5jJCW+{;y1$#fdcBeO^^5;o&X?NzHno)-Uo#fi^H}m<&5Wku$=Ln z7s5~Vc?|2>AF`LYd|br%sOJ!_3%(!xJ}vu0e)n(6Z})4Jo!2SfemO6Hx!=osa_;vE zo}BS3dUD3Ee2x>~9_9oX3P$&o3KA>^Fv-=UwWz{5(^)h+VxWXFt1pa`v+aUn>L0Vn3UdSAYE#Gm1i$L8CJ&=2e@(vS1d zmlQ!i5`TI9PxD2-cQXolKc1r@=XEKKM|;~0dZUPsnbnjT6S3b0ax0!=JzOlF&Y3vohN7f1jw!Y+dg8y1LW4c-Z5f75pof4+-ti#yq&yu$bS!4O~LB7 z5G0B4N4;m<8GM|l#5anb_;ytHxapI!Dxex|`n(D76i+pucZJ^1C(cKf^LR{(;F};9 z?Wy-SlY!%XZ0dh`W(Pe-s4B|Pi#W*olh?f|!0~!cJlTAjfzOvrg@!IP^4L7yEn+tfa?yV^-YpS(3|oF4;dr-3@NJNX>q>P+oe{Cy9dbUuP&@s5 z(xA3S@Ex9<{p$4O9KSBem%?Ad%lpOr9&%>Heh!StVNr+cdOpBR6EqwhDW zs)Km$<;mIay&<>e^F9&#eIXb1Q+@w!zli<*kc+%mpOYN`oH*AATt{-C$Is(+kSFJU zAMD8)e~2e%{Gpzl@rQYG#vks<8Gi)iqQC0%@FP8Y<~_=jGw;!!obktaa>gI)$r*nf zDkW!odTN)yhb_CfI|q8M=hS}xsr=z6S}o5F{ZRXV9&p@0?#KC%i*ZoTy%$96 zFN9pwJ9XW>C}MvxN{UmvIV|6L?A`jI4$7K;eF8Aa-{#ST%j@y-x zFO9#1SMOb~ir8Q6$+^92JUO>_ttV&vb)KB@*F(E z*0|gRoS#=Wdvf;o7EjLp-U_+ML-qdVHsCnl$X$cL2wELww`P>DLkG=Z@-* z^iHqcES}2q)VqN5<8e3SVqc-&*WDAbzZY`$liFAF`@V?%{hpl1;{i|3wv^1PeO0y{Zk%}{1`fG za(mm}i`c*J$=TmGJURROCgk(rFX2az?A|AND}sL;a;`6g zSJ$(5fa5%&_QrLV+v(*Bycr7pyZ9@{U!C{wdF>M4c9r(2)!#*>=Pi6Lejhjyf3;42 z0G!Bk=kp~WLNDfLb$)wq@P7oHpO+tp_G&%)B=lo=sX{-rSZycy)YDVEo&C>e(8u;a zpF_{%K=$8lUWb^=te$^OAig`NorTK7I@N zg7{1L>^`+OzE9`7h~4*)i}6yQZ~YLl{}FO|KBV_6b=Gp9|pOIPj(*h-{;&KI5BVfx7WUwDH#sEm5bdArdb`e za-8fMu`fYx)tN~V`zFYFK9k?wderx;>rKD@kk04H5xX+vVw|1zb_(>d^>!-sVjWWN zxtb&GS3-OB9K9QGJT5d|0@smDgI>(*+V5wGb5cvhkLi$$_*eJq^p!5Pw@#C!HDcce zIr~TP&*H$}moNi*5l83y5_X54&jDo5-}9MWk+nlF_KB>|c0L`@`}>DZPtJMX1-TeE z^*lW@V!sFERvq3GIN^7CzNr>#%F9{Mi@2-rz3v4Z$Cvt1!_gN~?hU=jW2av213kxw z=Yr(e?Se6i>Oz=`wafR<8MXQhC z+3$lP7k;bfvqK{Ghe9sm<;?rTB6f#+a`y8GPtJZG3AtQ{s-J&w-?KRiIL=41$3B&D z)f>R0y>__$V>~&xe=Ou8PU>_0U^)w@g6_7dx9tDc29&{%xCBQ&6A*KzsL@G z=e|#Nvd7Qup5n>5-BUd|<4^PCj6WT6k-zHx_Kb-AnVy{6JIj-Ed;f!6=7V+*cXq`7 z9LU8wtDgVQ1&;GOjjufapXc$j-{*UB_WJ@)&iD&GIpZ&aT==Q(<1Yq|<4^YL^Snzu z9JQ~0uJ}^m_&%5T)Xx=P2AtS0IQOuZL+{tiDkGniM$LnrS z&hfeja<2D;SNDzgM(po{oaZ;$JL}i|(2M<6RgZh32RvT(_d!q2{yqe`7$-G84+F<} zOZMt~egrsK2etFrqY-}|gIwgdx^Hhr?4fm|=Xpr|7M~x_yODej9Onb|L*Tlm zf8p_S{J!+$9KWwTIpe?f*Dtj`yV_x`}?COXMcZ!Jhqv$KmgYKmS0^aiej_<_Uj)>Aw-X{~#CVvGjRn^;>q+nlgK}u!uOR_ZPDP=f`RG z&|ckt%n`Al6LRr9Fnh0Nt_Xf^$VD90=Wz1?$MH(%ZK=%Sw^t++HzCKwff?pVNxgXHh??oc^i$X5qCg)2&uNDI? zHm?@<__-b|;mNrkED5={pYPTq4KDp#Dq^=ZoJE`(-^j`?;JaXFr#RT&ySC z(eG<@HSsG1nDHw_>{s;U+}=u_oZDL&a*i|Mo%``spyzdw?C5)1@ZoZb+o~Qfx3`)n z=k`{ITs&uSpCcjz)&P#@McQst`tyC$XQi*_WvgpCZfkn&aQka{a&CWZ$VL9C^LCwx z{ko9zy&ttVrvJ7L-Fr_-y-AYwB6jPC?W*hN1`+!WA&-qyUBqsqu-$6B-PcW$je+C! zlHygvb;LoM?4tdn|xesvMfAUNHoL^tyczxo0?B~fjA2)%V_jQDK z?iDwU*lh;6$cL<7{Cr|_=*7C@JfGMCdX6)-tJdKyy>`fNiA%PE-tTXJPtN@v06E8z z+Ewp?8p3vKIC?%XFyv9+YaJBvW3VUZaT?;u+3%r{Tj!)>kP{UlG${x*4X_IEPmR{oYF_ER7i{Z-FFQ-KrnPvY|PezS)o z|MTA?%nwyGS1Z7YJjrn>*>2E_e)ZQrKQIkAu9F;>7EjJ`obJgP-|ER3-{#2~Kf{wV zes@pK_;$!Sera5^-;L-1PQ+zQTT3bXLEH3q-#VceaZ&447jT@1c0E*kjMGF%^A>hKgoaf{`ySdxS!-t_Ia1H zAm@6)sa9tgjhCJ$d{4(G~T*j7K=yO-C)r+*tq4&q}3Qx}C zcqQZ_4(k5ts)+s7kb8A2zfZa*Vs~xWuH2vGTaW92xgI!?kLo&m18|&o z#OHi|?ndbS_}%2mIes@oZk;D?iP+!j$$8%0=E=Fe+ac$CB)s!J*c}nOJ0Ta(@zn2O zx(hfFpX~kLmabO%TKhha&b5LoWPP??E4l*gqP!FW%qD(>{3&I38#6 zU*MADagU$-{e&myen08S8UK_gXZ+KUi#Un)YkochT+GjBq31lHcGdmWa}htD5B*T* z^$QXE7d<)m`z24#{eIb#GyWA%&iGd$7jaVkdkr`-ubjH`y2sD$zTwHa-8YqXweL54 zD`Nk)C+GIw@#NgzyO3M^i}!%@_ZRO&F5)ECzgj+h09iAE5S} z=k?!2?7oGZ<4ktW_iuj}vHKo!F^=j!tLB2nM<9liz$6h!A z{slefE%)nh$i+B1_vZgZ?EW?E{)3+98MWv9&NqMXN5oUD>$AaO-|yKW5P77o!*fLJ z=k(+}{&RV9j?>(b|DUm|43O$rx;O6b?j8~rCyu)W2qYmS8I}PyEW2cd0C9JBcXxMp zcX!W=yUSPi&Z(Jdsjr$JZ(mNGI$d2|EmvknnehUKUI;M6i??<3w7J{9}joNeG zpI8`n(a%1yb$St{{Y8O`^TzPfw9@qU{JZk2RhwmtDgKLx?MK($CBWl4qJ9Wod+U;6 z9MSu_ODSh^1OoLzoLh8dnxVIdY9YV%1sl?^ld4%LSGL&u`Wqow!Wv&Grxm}Gk-JSGB52d)222zPU4@CDe|{Dcrq`7 zmvw|)tk=bLo%_@)%j&@6x~4cJuX?@RDU2(+u66c!q&ISExrshMh?b$)1w8!8e=n-& zS62_`ymSLD&ks%c7xj1@>JA>ir$GMwTK1xE0js=rl=XmJC~mjI(<%B@#`J> zO>1s!tm_QFK8jyo59j#$c{s<{AGkFx1HjY9WgzUL?xXj&1}Sk24*jF|35O{DLxF2` zF${LCE{4O-^O5paeePDP&MX_@wL^KV^71J*5_YlQMECFQ!NZ?weT@qJYnzVe<=x^=43DMwA;PJVT{D-tOOq`gX zuJV%J+0*BC$9p)py9;npx6yTRg5tlchjV+oc{sPXJ8+TL=;tL%9*_JB-t>lgS~K}= zqAZ&To|rGu=MnYbiTy_KTC+*8<4<)xFMBxmV={2rZtVA@rhq5gt?^p3sj!Ru7xTTc zEz}0S!Q)XJbbpIRoxUPcW@HcW#PzxR`4C7>3-w$c_PIunm(Sa~`7=G7`FnXd^Jf7U<1F%1 z8|T>`kNl(Ok2zjD-2UDk&h78x;mqIH!qRwZnR? zyV-%@#jh7?E(dw-aQp{*ILCj8hco|B4`=>i9?ty3J)HSR02lQs)|1-v)FZ(Y^8&oe zB6bw);<}@FfBk5s-D7}@af#lCI#%&N4!Br2tg1dN{Xx9&oF_=Yyy9_X5~O{L%I6LXSsrMAxs2y!NOc z^eqg{-Ma7AWn7-$i($u~>bdR`0HQz9`n?o9@qS{luTG|K5}ZZ)mwEb}$ICsO^LPbt zQFqbv*_Ggl{l3Pd_g}B_^ts)uJ)GOU2Ds>N^t^Pf$IJ6hKjFcjKB!&?U+1;M?O*TV z-2M%~t#Q9m@xLkbkG^+tv*Le?hjYBQdN{{>Ti9OoIpFQ!iFqb?S#}5PVx6tbL%Ovt zzc2Yt@OXUkyvM#@?Jn@}r+WUm+rzmZ_jow>`(6)c{(TbGwgvIJf&4a9Mw`-^Y4f@qYq1pD(Dr=zYN_!SnA6 zKIQ3hyia>L$NLO$u};(uF=B&x7Cg=q={oO4Jg4YC@8KNJ3m(q#ya?PHx0k>Z>t*r# z5cE}R#qaLD3_IVKqIP=?88og(_b&Nron@~m?Z4{b9Peu$&hfquocAH(JI@E-Q2gEm zF6tz@&b$SlSf3>?dpp#LKIeHyiQ`=l=l;Iu;oRT%J)HR;csTPv1TO0<_BpYz(swC^}aSSzXnhCTYg{7H=aJX`>ls_yWatq`$+8fpT7r>$Cdn@--+f#{ou93 z?f>ZE-2P9%=dVoDJg+UEFng17X zky7r%g{R^I~gQ?Av=(&1*@k1~F!7lEz@O53Op6=^c9|6r< zNxWEBo$p~FQV(+ z{2q_SgMMcq|NU0_?VI8|uv?3cF5vMfp6GLd1;O+Cvk-8RkLdN?!ixVQp?`G$T@*Y% z7f^r1bIO{_V&IAS5M3`9SK?U$xTv?{K8pW6r%NjSO92=8h}Or_;E8>$#-r*z(qaCeYrXg>x0MnB7e!_Z7JITJRUDzH($_vJQ*o%2ur&iitkg#ONZ`kRLBJD-d106X`W+NbY@37`9H1|HWP z=XG-r=W*!h;mofCF7j5p-y`k|byEC01Lu5Fd(L^ei{jT6xV3+E1CQgQxQDgV{!*G! z{bj0RUUdhL$0g63oEJTmIC=sX`L5n)s}>=(umyPBPl}_;%LCXlY(M{9w(9bTM)BV^(SJL|zZY;`FR6WJ|L(2$^#Lx#4=)57m+<_DafXDNL`c9V z$HFe^YV?femf*e9abaB1>#iNaljAC{yLN(I)JOFF&7HyHy5n&k@99%rIQLt2QT!$V z7kQ2DYr87`y8#z*N9%fb@MQn<>kXcyB~PF0dZLGOf9rvZ`!&;M?9sJHOMNj7vq_3y z*~7V=$sW$_Oaabu`+1$J_%#3*`_K4(vl^zf%eUC*yG8Z@kLLxoD{0ji0j7bsQl)$O zb#CRo^eL53ITl|$Bi`F+RN|WM;oScw59j_jdpPrFcsTR-1TN|+I!{{^|5gv@_S!t0 z+iUl5=FjwS=I`a<%%A1q%%2ThjAQgVcn)~lb@1M>TY1?>iDO?6=eYOtaE^O_;8xrR zfTzWMpr_C69^~QN?!mxCKcnm6A>i@6B7eclvO_(6Zuc+`=XMYGaONN3;mki0xVHWu zrT87~;oQzK9?tC?3!M8&eCPLJkAt1x`y)T+_hFBRU97Lsec=S9{S$$UI-qkUy{npE zYUba`i@o6f z|8n4b--`Ir=UG>P=ReQ761X*Au2R~++QT{CYdoCey%spn8{#|Hh1Yp@^6NEeYKd;3 zR^EWS9(FMv(f3PkP};xI!#UoYJe=dbIc%?2WB#7D_q}VkguG~-+^V#5n}>5;w|h9p zbq8=UZqe(DI~D)CJe=FR+rzoNdpw-^_j)+_p9J>oYW7=tKR>7&1;AA__~L49^deA=D+FT%zq2G=x_9# z^S0vuj)!x5?|L}5_a1N_KjK%u2L_pWU-A0@xQH`4E*~oX9|0HZNc29)$Kdh&p}57o zsJVOsp14ouzMq3@!cV~y`B@gXf=9zDV@{A9(Tp)tdYgJTV`|bwag_ zv#-G8@uYkSUY30gyV$4cd%7d!6qO{Tp^3N6z0r9?tpu*Tb3rpNBI)o3Aoa#Qd#2hpc8h z%jN=)<6!@}fs65??|rE+RZfG|r|Q`}ivPT!fAkzNpW;71aGodBU+4N`0mW}Y!*3zQ zZ($GT{4V0*oS#L3i}@bC?pq8z9tZNz>p8g3yLhM<-OrZ*kJks%8%P()^bn}{0fQhcJcWW_jekX0Z;T}WMjGVJWjlJkS*)A!|gBU;oSc6z_~xfcdkoT z@a*L0T$ilq>2iB3c{sPXGH|V~R#E&`1#aD+SWWR?9XPLRc|YkpjoMloCer0IdQ_4+ZJIT6&$92X1 z>E_|w|Lz{n{2suq{kbQ2{{FlLa9*#dz3Bb0Ex{A{i{2003OuWBw+2t#ryJf-YHj1s zg>C~o=ZEvKt%q|Sw)1f2_wsP&_XaNJY4mw?AH}~faM91`{gi%+e}50>cn5em$2$-> z=b!k|_p$~l{)2&A>%kDke<*O#-{`(OOz|HMT+~_ZqCiZH5sLpv59fSs@8O)UQ6A3x z(H_qHF~G$-5`8YTgW^9HxX5qxoIMUa@qA`b6aCOdV?$H1g6!z&bKE<5ILEy+aBaOB z54*Nr?EwxR&>+uxoj5@N~JoJv^M-n+9C&tF)_BuXh_^7j-od z_TpM_x~I$SHF-F<*9=^I&a?Qvo*4>%PvByGh@SIXz~g$O_MGqOYlU5mYjmAx11~~D-yin^F6MRg95o9(t_SLubB>w~yT6~!@o>)n-X6~5wU380e_!At z&glBHpW?s2f*$~!`$cg$*Ovz>eg^>;@!)rviyzjh&d`Iwll36KZ{UznCwh)QREguT zME}FV<9n@cHR59(muUnwO)!_9!07tKQ!^ z20Xv6js-5hcPaXPw8we=Tu;Y)IM?3^9?tv|fm`RPlfdJ;ApgGf0R;NKBECYZbnRsD zcs%^NI|X*0|74HO>r=r?eI9Wd_+tHu?klH*$9d;GoZ;b|w=+GQ`DX!_^`HO7h3@COw9K?Q$E!5>!eM-==~1%FJzA6M`v6#PjAe@elh zR`6#O{8Vgf-j}uODp&?3cjp@FQ?$kEBFcuzM_J!q~I$n_$ms%s)DZuobSI= z{qEJ!*49uzwV@#&h}9LpH57bJ1z$_S*H-X#6ntF;Ur)i;SMUuKd_x7_NWnK&@J$qa zQw8s!;F~G<<_g|X!Rr*flY)0v@Gc78Rl&O{cy|Twq2N6gd(B@Beu{#hs^F(7_~{CMhJv4|;AbiL*$RG+ zf}gA4=PCI43VwltU#Q?0Dfq<-eu;u#s^FI?_~ir!LL*B>lOS41;0_jZ&L7^75o+jzg59+Q}Ejr{0;@bQ^D_2@VgcK9^hg; z=|g_BXXZcBN&oIu{O(im`xX2F1%FV%A5!p#75otee^kLAQ}D+X{0RkrQo)~6@TV30 z83lhQ}EXn{0#+v6S$~fdLy=l-Y=*;S$RwG zdt1TZQSf&a{5=JKU%@|6@DCOIBL)9h!9P*(PZj(#1^-;Zzfkc1DfpKP{*{7%t>E7% z__qrFoq~U_;6Et%j|%>ig8!`GzbN>x3jUjd|E}PFDEOZW{+ELP4Sbp6sxZs)b8fkj z-sx^DwY27cD%*VakK+HYg8!%B8D6{#o-Zi)+zLJqaB)7LTFT$Yryr%Mr(fWiSMi%q z!RJ@-1r&Ti1z$+P7gq2^6ns$yUrfOlSMVi(i}kX#y>T-A3}j`$UsCZ~O2L;_@MRQy zSp{EC!IxL?6%>3$1z$aJ^w^Hz}6?_{7-&Vo5Q}A92-dn-@D0p85 z@2BAX6?}k#4^;3$3O-oDhbZ_^1s|s1!xemlf{#@2?G=2Kf{#}4F$%tef{#`3aSFbp zg72i@J1h8j1>Z%%Cn)%?3cj0y@2=n_1)r$k^$I=-xOgv(eiNELQBhp|XIWYCo2=kd z6nv_JHz@cX3O-H28x?#yaPiy&_ctm(+}fo0H7ocG1>aM_TNJ!i!P^wPUBPE6_+AP= zOTlL=_#6e_Tfz5H@O>40KLy`k!4FXI0~P!r1wUB94^i+#75p#-KU~3&Q1Bxa{3r!K zTEUM|@M9JHI0Zjm!B0@|6BYa<1wUEAPf_qw75p>>KV8AkQ1CMq{451OTfxs!@N*UX zJOw{r!7oto3l;n#1;1FqFH!JI75p*%TEVYT@M{(PIt9O8!EaFT z8x{N}1;1IrZ&C1D75p{@zg@xaQ1Cky{4NE*Tfy&9@Ou^fJ_WyD!5>iY2NnDw1%Ft< zA5ri}75p&;e_X+zQ1B-e{3!*0TEU-D@MjhLIR$@S!Cz4D7Zv;^1%Fw=Us3Q^75p^? ze_g@fQ1CYu{4E84TfyH^@OKsbJq3SX!9P&&4;B0)1^-yVKT+^c75p;=|6IYpQ1JgL z_?HU)m4bh*;NK|tw+jB9f`6~zKPdQ*3jULV|E%D@DEO}m{+ojTuHb(t_@4^?mxBKd zTwHI}mu8k*no8y3iNZgM-@gj}pMq!j0DJJ<062fnl%8LdnkLbYVKq;oTb8Za+=|~k z3O=ub&!^z?EBFEmzMz6Hq~HrH_#z6vsDdx1;EOBx5(>Vgf-j}uODp&?3cjp@FQ?$k zEBFcuzM_J!q~I$n_$ms%s)Dbk;HxY68oaD?H&XD86?_u~-&DanDEMXyzPW;TRPZ_l@1)?J6}*drcUACi3f^78 zdnkBM1>Zu!w^Z=06ntw1-$uc=Rq*W;yqALaR`5Ow-dDl675oSVKT^SuQt+b{ z{21V({!3K;GwCN}Tk|&>j#d1QQ}E*z`~(F*QNd4A@RJq%6a_z3!B120(-r&-1wT{4 z&r%fClvfi1%FDxpH}c^ z6#Q8Qe@?-lSMV1U{6z(S3Ao%(>Brw%CRM(^A$wWzdqu%tRq)po{B;F?L&4uv@V6BF zZ3TZv!QWNz_Z0kn1^+<7KUDCK6#Qca|3tw*Rq)Rg{Bs5WLc#y1;9n~ER|@{Mf`6mn z-zxZb3jV!<|DfPMD)>(d{#3M|T69^XA9N`?ins`}01|_bGgwuTOoP zpY!=RUqARbf3LBR^Y`HTIDZa`+s~gT*0<9y-QW|l{Jko^AAdivkMsBL`#67pv5)ij z{`xrop0ucqLuD>#4eupiHw3V$u&JRURXcVSza+sgPN>W0eOx%9g< z;Bg&ID}JYhe)toNbrN;fHFVa4o$H3;ael{deZzl)FpggJZFCofe;^C?4Go=*LY@5g za_ifgi|-T1x5s7K#)i%&5uI3mH#KxRM08^DY-Z?e9?^-#)6vkWgPrFqjnmk2OG|rw z^Yn&#`WkaCoKA*LXV|sz?qc|Nh25&(ZiY^G*m-@X{)`z$PCX32o?-jZdfUR#*)r6L z&cm$?ovmTl^0|%Szinb1+Zj5&VCQw4@>%(P%;JZxCY9STgL)e}ePFl7x38hoFEO6} zhRy)kwfqh={0Ak*G1$-<0z2=Al;7g_1B%~=r3VT_4gX=VTX`LB=!}3}WndTc7R>$&sf8MTw)wM8ag|LI?;7yXG3Rvs1sdRb}@7& zBN?AmxV8vfJ6_MP~f4F6`>t#O!P=*NazoeM*qXnkH}=v*A?MCw4@8L+47^ zMSi1sxysPF8g|hiXPmDw{I3n;i01V=L+AQ1jy|(XwcABE82&egaYXZRlc95S7>Bd| z++z6O3j6%{Tim~(n;N$nez(J}jl&&=|DCXldWeq0U53uxMjZDT{`ZFdPX6vQ{O^a| z>c<0y&V#TojlVPw(feW#89EQcZpHJ6q4Q{{6Rpq344ubAo#;3}Vdy-WsPmMe^K_!l zGltHyi8{|2I?uzdU4Oh__`e9dHV#biyJyiB$$Vaq3mN#@(fL$Bc6%GHDLVu^uS2p}tfnD??dj4J2&{-`}XLUno4cN7O ztZDeKW%#dc_^$)Im5+4|o%IrR);DxENYvTT(AfxfEw39J{+onxMC*N1L#IQi6Ro$+ z44utGooGBA4V^mJwRNDA;omuoBif%XhECT+oop|ew>&d!F;c-Tc-0>+e=oy-mf=4;^mndX=NSHb!)~o_`xrX= zhC0!F?q}%ipQv+yp>rVY+PEBK_#Yg`5v|ul44p&6IQliVw>I$G(uW!Thlg=Q^Lm7# zb0q8w;Jy;wPaQD4W2fvW!|!O=wLBhU_#bQdA7}U<54)((X#YEyMq9*hO7A=c{)N|93-w=Q`>=!~cEQt-AQY(D@K{ZD07v z@c%e5j!z7oPZM=MGju+OT^pA#4FCUyaYXC;OGD=?*scBlYeVOoM4fL9o$p{5d2!A| z-y8lvz;4yskA}`qurFL&$NTpgxkHyubgw-B_p{;uOJW?q8alrv>ill#`~kbjtFsRL zY54z@7{}j+&Oc!s&iMXo`2PpHwhm--SH?%X|34S(A`edca~uBiz;4Z#c@3TUU>9{7 zoxk%NItwJ~ENJK~6zW9xxrGg#MG|!uHFOqB)LGonSps&gUY0ccmr9IdX+vk3h)(Qt z7|R+u%Y{18x>?@PSpjx!9;|5iuN3+_=Yo|D|5acY^&hRbRSlih!Z@7yyt?7P2JHU1 zY)!*&Eu-DF4gYmuxB9=Xp|f5XhjSlweZzkP*tPTJhKBz}u#0{~>v3a4XA{^(Jv#f- zriOoqFpg+FZD#0fo~YB&(5Xw*>1611hTYn4x)?fLVHf#z=1DihzkBHKj86~4zbEXX zPNL(pg`u-$qRv)^&epJN`Pjzr-!?Ih?F^k>VH{3gdmH|J665G===4j}>2K%^fL+V$ zK*N7f7)NwH8Eohb33a0NHq_7=2D{du;fDW+#5hJ8I@>4ej52gahdR;xjxlt0NYoi? z=!^?>qT{rqp|ew{6YbZ|hR*mzom~u_39xH*v#a61o8iB^;a@WRCmR0suv_c(Btxg1 zs59BnnG)(m$9Jls(*V0RE_)dM(-PxoG<2qiI?=jsGIW|@x1O)fFm(2WUCT?0;ooZb zw;BHJu>0rmnTFq9uv>LH%g~t(yLO#8$MD}fj3Zi~`xrX=!mf?Oeun@4iE$iY=p1Oo zaggDEaOm%xYYs8|4~1QfYc!vS89IlDI?;J{grRd}qRvr<&e4fF#~3=tCh8n#=o}Bb zR`(|u{wF5Jagw2Pa;Os>?^6t&Q$wBTc%NqIoSvw2hM{vN?Am-j%kV!tF^+Q#opTd) z&NFn*huyj!y};195Oysu7a9H+!!Fi`=r~_u=v*4=MCO}kXgrW1KXRm&bz(o2I0s8lpXZJsE{d5>dv_H=nI?uu`-oG8*r>w&Z0zGwKq zpBTpnhR%nHIv*K2AH%MlyFW4fKTV9|GehU|M4c}To&Uk^U%!88_8M{f?ZpOem4AnNsQxHL+3ZxMIN1f_jkkp55xaY!~ZYX zt$hA%==@{E@vq_kAMDnBHU7a7^?eh3(T>%hxxv$P=1J6<*U*^{c5Qs;H~bec{1-I* z7c%@8HvAVc{1-L+7lYjzkHrn0B@%U(G<23q)LGilSte0uSwm;JM4jagofTlW=Ff_T z&PuRr^}4d*ze-{ps~S41!EV*f>W0o5i8^ZVUH#~A)Q82)1o|8a)@j)wnEuxtCl&W8VZqy1eB{|T^L z>({P^&Tff1yBj*CM4gF-PJN=zBtxeh>O|+uWJ704s1uzpQw^Plh)(SN?mY~hX|QYa zuF>$HZumDD{>`vkbvMJ%*)xp8*{@m*|JKmoS%2CL|8~QFrs2Pr;XljppKbWhG5q(2 z-M=5TkKwm3?ACSHeumEeu!}l$#_s^b|G?1S8NY)J|AS%I?uQ*>_#bMtf0*HaIPBIu zIKt35GEwI!L+5DN#dtXRJjU=pHZhLl44vZ>bxtsJPJ~_b$EmNA4F8i8<2c38ITd!T z&Q3G@Pfv{F3`6Hk*hM~^@jc7%KRXgfZ2vjO&^b3z=R8B_eAumZ=mJCM!bm)^-)FtZ z(770Pkzc3YE;0NsHT*9#{4a;ydT-_mL+47^MZG$|b9t5Fe>Lo4U5lQZt}%43gc>rn&do*~w;2AnhH*sCkGB~*x5KVoZ`@({-wC@l-|jMW z?uK3DHQJwh44r#JooJoi2cD=Srw;Bn+Ib*sCmQdAhR#EYIu9EU?PE zd<46gA5MLKZ1{f?`aAjf)bRfdc9DN&`GcYJW1`MahR)Bhi@ZAZ^^4*EYv}Kc%WsDN@332W z{ln1tGt`OZ^)Ex`??jz{44r>r7kPE^@}J?K&0G1t5&u5TT)?&WIp&7l%I7?W&b(p! zz4~^}viS_Z`C%9RcIs&X!+$~8Mf}lmT*%N_IE=%||00I}qK5xshX3NQi+)7cizN)5 zB}1KPK9(|cmJW5I@hoHLEDO6BUnj528UD*B#<7B-vtpvoN`}tLi8`woI;$q?tY+w} z4!gEbu3`AE3A?t>t!4PH4ZBsh>lixgChDwb=&YZpvw@+rA?)IP@ZO{P)MXnPej6vY zzlou0tP8mKew8hE7M=wfd+t{5vJa(b>@H0=t%vu7-a%!@s-X-^1|lY4~s9 z+5OKsZ0Xtk&pB)byO?Lub$x3?XB*hHJZ@|FZx_Z9-4}WpI=vHh`WQNW6LtC-I{jhS z@-o2iAD9@&AVX(xs1qIMA%@OS*tPx)GyI3c?w=<|7=9yR7j+t~kL?YeQLu~qMbYnr z9&PB1NsMO)LuYKF&NxG7N7%)|z}H_a2#Ldl`PS65F3`=*&sf z+1t?BCsAi#LubE;POQH7H*^jNb)x&@fridOp-yz4I@r)TBvI#3L+7wWox=^CBNBCv zG<1$i)H&MFIVMr(SVQMH*v0zf?0d%>{wEmzCmQ}I!7kQ?Xx*J`=$sPjMCq^7_D#QP3!~Yt?|60TUI@q=Gzuxe_0d_IJqx14c zL+7SMotq7vTVU7f@m9nCw!}DYH+1d@b)xIuorca`p-wcvcN;qQggVi9?lpAogI&w- z{f7SoVI0x^JZR`VWW@2X;s1!?|ES^r80=QvKW^wek*M>eq4QLz6CK~D4V`B~o#^;H zYv??esPnv`^FpG|i-yiii8?PEIg z@c$Bak>ESp+eDr344v;oooK&)Fm!$lb)x=^o%LWY*wyz% zVAsys^BDf~hV47|8Rs+n=Z9U)<7k~OVCXEEsI!ovvv8;roqvlMI*W!n(S9vv=qwJq zHoi+3{!1ptv6P{+H0)wOckaV3WB4zd7{_vk&hoHp`B=g5UokO`l?Jm>=z8DX(CLw=)6>w|0(PxGTN?gbh5pWZu(jd8jp4to;lG{X-^=jtZTR;w{QJUg zt!MoVo&I4Q&bmCn@E;iZJL53O@E;udJM9lK{D&I;!wmo7uv>W?Vd#tu<8bn@z2QG9 z^mpt+Nw91EC>#Eh6XTd-=uA!2X)tv5fL-L(nQzk! z|HjbYnQzk#|0dY2acMSmW*BkoY52D!#?fl%w1qm+`Op$4O`n%J)bKkDc5A*I zZs;75sB@&Db5y7kt@oo1ons99v0*#W`EZ<}b3E)?{hVO)lC)|H+2`DTe>4 zuv_DQnxS*L5yu&Z|Cz9B>&jV%|Jkrx{W!P(a z>{dQ5F?22s<8b!#%MAa^VPCLvn>eG-DU2IAxr+l+BjZk_+OtG#|?(gjYb?d8U8mX#&L_GbE^@@ZHE8tiE-Rv=-ip8bC;oWH|*NF zbC2PFZx}~(zq-%RxgU11e~%f~J=E)<5&ZCJsj~P0T!>;w` z3B&(M!~ZG6|7qAoKBD9KjG^;vs1rS3JZI=UAL>NodBMko!I_6hR(Z*I`0`e? z(eVEXcCqe8*QcKionI1lel>J{OVs(@(D?&)Yn}Vk(D@5?ZG8SV{QrU7%J091&VPwI z85UCQy^pzIx8j-G(3vMuXI?{RKG?N$;QWUF0*P@fXy_~iyBKHZdTU|Be-YTVdAO+I zzZmTJQ(Uj*_mLJi{FZ>-8qXySouv|WmNs;jfnDU$x&B_(@L$gGU*7Ov!SG+v@LwtP zciwAS+3;Tlc56IVHFQ>kU7HuH8~$q~#<8ZMvsR+c+J??Luv_c#x`xhruxs_TzTv-t z;lH8bzmeg;vEjc7>{fkjYUp$@;@Hga-yC*pJUSXWbzvONy4lI_?;QF&^R0{F-xYR| z&*-_Zo1xP^)QO&hdKfxA6Lq#Qbhd=u8lSBUovmTVpL|~_?r&^k_-zZj$ZIqo+Zj5& z5_NhTI(-s#`Wia@VAs}<{)Yd6#5e{TI)f5*1{*p<5_N_eI>TVs@-p1;9|61dd5MvR z&h|zeqYVGiuv>LI#?aXzQD>~7GY)qA$>-mQzI9o)qv5v`>{dT^Hgv|ru8r$1hW~`n z-&x;xHT-uA{hjrFcf-FF`a9>ziH3i@;XldnFB|@o4gV>yYv;JBhJOR>q7I__+a89_ zv`{Cyo;Mmg(-U=?44vjgof(GCo{2gwhEA(tZwuRrjzhblGZS_(ANw`7w>C^~sBdYW z*ihQb@Sl|!$81AqPN);DhrJD*eG+x{HFWk%)Y;$AIUrHzKtt!CP$xRx2OBzvggVhY zA8P0v2D`Pt9&YFy5ylhk*O7+KQHeT78#>3puC0&98ve(HaYXZbyrFYKqRxqi&PlL~ z`R(jiCma5!82+ak{-+uKryKrfz;0c4oN4HsWyEo|;eQV7*1mVHp>tlS6RnT)4V?>M zx8~o4hR#Ka@my@^T#~4BsiAXOs1sceE;n?p@a+D3BUgHM|Gkl`!Z@PibhV*#jc2Dg z#*dj=ZkgUNp?DMKTF>ssaUJa1{Jq}rzX5iuPHr@GZZhJy+3>#wb}@gV`MlN8xh+xW zc0=cmM4dYgox5PipUVA=ZdrD>;dc-0VqBf;n0pQX`(W4hsrwE82Vl3x<3U5`p+udB z4V_0|*YfeG;s01-9FH41Prz>NH%}TmPbJ3lw4w71>>@AD{{5`s|D56fyy5?X;s2uH z|5E7h)cMPX|0|)t)Bjfu|JPu*#`ASU=MC7k=V@;m{%^r<&9}D=op%y--ZgaIgI%ku z_YMCK!Z@P)^oNGdN1@Kh*yk@lHgrCLUG&GPvri5G&tUi8PyO8R`vP`rT>oe2dquXhR*k49L{|G!SMev^moSbC&T||*tI>`iRbIu=z&Yy`oe;GP|C+hrT===-2b&mYc(8=(_2UdRO0#AEyWbQr&rm1YuPqFnEkm7XJX;w$TZcN)c(wr#$B^oKi`yFd+re&~Z+aOzy0B3ww?|${0Aq-F~rarYS@RtF4kM;95vkV9})UH-)Aw>@ZTPG ztA0iqI-?Ey7}!O9Md#BFhR)bfCpw?T89F;A>g*KqqH*tRv^O4h9_QxWb{jRdVNU+2 zy0P4vWxK$>96o1SzuRuT%Wb6@{&!4G01rQZnUPN6u`6(1hsobLKXjmbyZOJ}z~lP` zy4xQ?D2hQVD__sAQHBT(nx0PEON)`940 z8X6m`0ZlgInPS819p+;@gvK5yp_CEo~~rsH1I^fB#-i3VK#zijr(-) z7Ov&Hp`oF!LtWPj&;+|xf6ZZBmG!E5dUI20QZ?T*z~efj@f$t3SBEZpdN_^O=(@U| zJz9W^yhP_&D|p;rt^V4;v-;Bxo+_&5qPVCtp zFVD;DrnZ*m8B@__CAD+FyW=Q zkGVe_H|g|gY;J99X_!=WiSxqkk$=rjWwb2vV#UGz;ZTHpMA zpVteHm;84uHMLFkrbV`*F)vo~#*uWQ^I~O>M{z~ZSF3=>^+tNmKD#RHJl>>Jz2BE7 zcs1BXeyjGpQdal$EBxKGJ zvsZVIEL$5qF<#MmwGMb(Ke=9P9a|SXt^U@7UF659zx5;jv)gD&mZlW-y8-OnZ;GQ2 z>_x9Ogq`a%&u{D;z7cpL&%N7QrcG^boRpuIX{0KIjltu3$n!k2)UkUfY>bDw~n2=X7m*&#Xo;N?g3on zB|0y9g2(Ft^~1R?+yZv5AAAn2_G3%%cw9-x$r~5sR^a*l*c!Osk8OZk^|vi}R{d=U zp3|Smb!M+nFM6HX8$2t|eZb@Wo$}L<7R{#4ohl>H7j|A(Xne&!P@d2)j7QihySQ-c z4<3(0UMI2nH2^%$E5+mTP709m57w;PCIqMo< zhgVL)S*Gm=yFvA99 zR^ImoPs{s$i8}j($K#XNdF*=UfKV^GpB@OF$ot6Fa{DCzdiNmkcpc2gv6Qb%n6L-K z&h<-iRqUwnL%ep1aT9mqc)dN;Yln24^Y>w}TlI9f*Iph^>^kZQ@I*by^G$Ug9|@kw zyW~~p@loLU>)O%4{rWiuxHvb6^Iv(wv9OEr5%${o@Hp_SIy@dctqxCso#!=;Q}n*+ ziQtKSy0~w8Qeqq@gU5Nw$ER=i4xLX)^gk6mtskes&gU)a$LL|5`q$L~KOKMl@i+sx zR_ABJuGRTju#0+<&sWNPJ~MpAm@8H z<-I^I050k$x?Wre9@i`R4=qn=Xl}w$;UdqT*N?nkd@<}+JzoNzHV&7*8u114&o0R+O2cf!5umk zrF^a8cO7tR9$ychKaXz!ZsqSr@U;Bh1iQ6f-wdAL|63B{xD`AxpQ8KXZQybJ`t^A` z>|z{6{Z^-Cb_aM?UECS!MeE|OM7_Hc_3rU_)KBN!$@}fS;PE`8`Rwes_rcD2C7t1P z+nyfKRWC&f#{J-l`B>p$XM6y5s}3Fn&#!}rfLrzWFnD78`jpxm#hJ81cmzD|H}%Uo z&pZmd=#O)rc?@BQcENZCJnlE;g|9OTt!H7^u0x)KU5r!odC~Ksj`O_e1=y{6c@aF3r|3EFCGecQ zNAmPCcvhZXNz{8aQSUYItp2_Zp4Hzs67}9p)O#yY?``mSUQwNm?$cpVhaO!jhIe4M z#^GJ?tZ{e`JkAHzYxKU*``~e1=5fWImww>!NH2PB_z*m8-}?x5r=OAQ)Q`dA_=|a& z^St+-J^_#CT^?5xz41hSXrkLe*{87czD7EIN{y4~fianBa(@Q9RbQWn@kHm-7vOO| zwLJX~JS|UOChB};=zI-3*9*l{xgAltkgeWd{Kn(uc`9yOco)3ig2&^M_fNh#!u#iU z;E8&7_RsHOx9Z>ruRW~}egx0T`%mC$dH*?4=NCigSJ=HU^>6SvJ{oW5Jn#?fyf2cDa~}8?cAkIaFV2nS3IBz02z%{Znax!p ziaL(oXPpZ?p3fAI%fq>AZtz5&ivy*L%rzr(0t%od7nR~7ulB= z2;+0+BcERu1W#Nq7xS?P^1l%5TxZnJzN0(T^;j4<=QAJw*z@^C!Z@PuDK46*w-|VQ zj-+@h=g5xTy5}J;4m-z7aTU*_meBn0JZeeU#X1qao?i+)F;3Cv=Szd9&5vbZ*XGBv zVLZ`&bvf{~b!+)VofW_n{VJYoO)TZF9aqaaTM;~K+*b@Y_Q|x`nHNf-l2doL)=~v`Dvle(F z@6qd)wZXIUzD^j=u;KItjq4`*uNTG>9k=zt6YKY=+PicOr42$IVXqEXwjp>t4wPr- z`e`HB`5Z^%&h|oN<1h}fPn0KY62>9ywS8n$@OU2OaZGJ&ruTjuORa5L*1@yqaa8P6 zXSbEIY%|!!`VpP4n}g@?&mDnV^->3(RWF?q^*Sf&bpcO|x5#68Lf247*lT(22A;@M z^m?~Dcw*e0>)jqL4zh{*%rW^JV(}>Ey1(ao2|fGq_$2B7&4mf zICrmHz-|&gw`P|OX>6NI{+v92LW*_i){3x%{>%zXFo^$@->w$jY z@jgj<&h{|TfG6f@ z^gi}jkC*p1_IZtQ;Q4j5BXFyKJAo(i?%dDW8FrEPXurmT$NLfG-FY8z7uc=3ngE_y zN1}DLD|mi=?*?3}@7+CptsYC@iM%-Td?M_kKl1rr^*LZYcw)RIue#Ap0#D>Qy3drs z<9<_~i}&9r1Lt_DU(WUI6xjLPLVnKm?bNXS=r}ikr;YO-u=Dt7`JDzH$4l`z`E3m2 ziO%=wUVEeyo$pPdUbKJB;Q8}u25@UW?Wy>;B>J~1{%wi=?cj0#^Kp*77cmn&QE$;;~v-{^WZ3p_C&D)Y8-K~}vknjOX$o!@i7<8h!mDmKo&J)HVi;QM>HWmno>q7J z!OrKnTu0uA-5+*7KT-STrkNu~j;`xe#Bo4k90wY490a>nZwG@X#wU8e;t=qx@jf)v zi@q;<7*3&ub;r4GJpy*CpGSJ_X?1-Rc)UL5aplk7j|R^5#C3BFaBaMg zg$($R=Xi6SwwCgY{G%%Qh22T8 zTjPAP*AD48`}HZX^E{zAoc-if*u}Uy`^jmEahwhw=dYF*_jAE#fXDgEx}yA>_ZR3&UHq4bM~P}!g!+BRgZ!v=DTzM?lIWKJas<* z^EmAMT#DjwKL7Is?4ll{=i?{A<9Z>T=zj5($II&=_Wb&3@Hl^@=d8!iz|L`#PM1C% zCw1sltd?2!Z0J91Xg~V?4-lS%-C9qd2ao3u#o;^$djWRtx7ME*!+4zjyaYSXL((aF z^0J3h`vv|AaA#a1&nI66Ps}GL-^Hd&im!pk^EmHEY<|8T>P74S4e&(WIrojP6SB`M?wN)>*gahuz6@d`_;8q?t0Z+^0rm%DW zs9op!wFB(p{N`N0ZU(!^WAy&P=HPL>`89R+eE$Xz!Uw9o`-vddeL)dZ}50NP~K|y1*tUq zz|P}Mbx^a@aP|%3iS9f7JYGIuV*5^i@T|HR03Od%t=ELO3YD&~;4&#chzcUi`_5_db<5540 z```RMaxJj)Jf-}*=dx~_$D_FN_egU91Z?MK&-1H$&}I?=iIK;WWY1`q5oZs6!H z-HSpv2zH)_6nFGK$iZP8(S7z1@c8)*={cWwKNNO9ABO=K`G}6|;b9!n&+Q)pp4G1- zL%nFfj!M)!I#KT!@I-&3<9}?Z7ajlO65~5Q)Qk4_1n_ts(m3*c`C@LI2s@wis4m%F z%!!j=7yXNl=gHt{^YoNNom0UR^EA57o(3MTdwIQ=#P?I34m*_9^Xmfe_*_YO6xYM$2^WSs z!d^Z0W*33y_v2#Ve!njPF8UG8|D_&}#xZ(bb{Tj)PSg+Qx#s1ti}llaPxA_|o!mcm zeSRf)qCRonanC1LfyepJ^sn|EY3{ed{KVM|q0gSG?KdQ9mWGx_{pSp6G9MJ-!t@9v{++ zeh=Plpni z>AhNd^^(gsdkj3Qe~*Kw?T=3+>O5)aJO#U`i+rARsHK%+2Txq@7T@#x0&r_QUj$E#NA$e&5_r~lybK=4P4hLn-o4_rtIgL}!PDmJ zYp`4Wd>uTIr{eR^ZveOY^(J^$zuxkA)GznC9am0ogU4}Go?ITL!aLwu_dVVPPxP<2 z@9`dRKCe+cwfneKyYIu!=M;*gW~bTs0qmTA@^{XIAA0)a@0Ezdd_SssJ^VlLM4d=pb%Fa5Jf3&d zFJ~X;_cgu(kMmD)Ip>hCVHf?2?gQU|r>&FU!Y=wJUi?FaBU z4|)B>K1cPV*DmGDoiB*+C$C-7b9spHXYfScqUV`k!uX=sm%oB%f#AkzVxv^<3a_KJq$=J;$BftJS;A|Fbewf`N!Ym_D2`}dF9ja{RDa)d=|ul!z|+>@WfOIl zGjx_u)L8*MasBSxFJBRMr(PoK&`RL(I8c70>(I)HajgQLs6VXZ)hSi17^{ZyjchD6 z(JyKhU;J0yw^jpB)KTR+7yH5Lp^mKgs?Hi=T#{Ga|JDSL^O4t6>^{X>;Bo!?b-6a| zqAsKB&pKXvq!Znz)&-B(DT+(ncPdXFxZVcSY=O*B3`P>wCYrX0Kp1)pg23+*J_}uH}9-jAm zT*t0mI|AoAraZ~}E7k8)tOHNPJ-n_<>>MZgJKvw#19mI_J;CEVlTPs-(iXtQe2AW7whaA?=dW9Z z{?YlgHFzSQ(fPEE$IJ5(o9EktC&t&=f3{1Es~318zs~#ay+fVoKGp|3uFHI!E6>^LXURy8vhjB&6Z9u3untmZQzYpsCKH@;|v^pFFyV%#9`_hA9 zx2{iyfG5Vy`QDbHVH~yhb@KOlVCVfa&vW#B9`JZvDbLR5-bTRA>n7RE$GL12cw840M|8a!4Ichf&p~4Vi1`_7 z4tCL>Xx;5-=Um{%@Hn5)1dC+35*j!lGJ^oyT+7BSVs z&hwVyVS5qFB-ovPMb4XL@HpP0UpdeFzURr{iE(r92Ov{Zz~l9R^jsb?H5ELoz8k!D zNiTZ+y9aojPs+P<{WA@A&L`b@3FnwZ6L*<9+8%mXf{ytv2G+qubAF!OcFL-=j zBfa8!U_ap6^}znH^Lm-b5&Qmu1Hkjo;|Bs4{cz_k=J!G1@wieyTplX#VDNYx@_6L$ z?i>QUm=D5UJMSC{o>iBJfyeRJ;&RVnhl6M3=?L)rJRJ#~`%nFf&iA9h6a9NwbWJSaakJEi-0*sZ*r0G^+h6MXFO`>O01q)c8}L?F&;Hu_567+cs%cd@#t0=kNd#W>h}J4Tzp+s zjq8DUT+FM+^&ohh4~i?g{yYR8$4~u??&A-~;)|?9kA!;B_5D%sL|sMiuRRv(MenaY z4j$JZ^|!X3(|Z2|>^$yyeZa$9bi=obN+<5q4hxDDSm>m`eX8*hRl;c3S>l_Vn}lBfk&l z71+i1un+9qGs|8DZq?6g;4NF3hWR?!uZhk-{)Blw)Qjf#4e+${-J6LzZ-FQ3Cpu1V zgD1})qejsWlA=HFz>YuFb^cudB0tgoya%4vpZ8(s^&uah*nR5{z|+>Z4`H|J?IZB; zr`n&70r0szpWhvObj?0d_@4r|`u`bt);N3)99;)l}7onb$uga-A%l-$RmDex9 z)AITi?ACS7*WhvfXdV>reSHI5oCkW39^0wgw;oRXkwfUiQQrY~@(|evz6X!{NB+@$ z;0N${eaXkQx-QeY{iD|&>D27i-7d?10?!)npTX1W{g+TDx?cYZp6Fk6U-~W7i_XK} z!4q|e^NYKm`~jYpuRmeu@zL`27kJiu{2M$`f6jA_e_-eJoyJf6PD?}SU)V*SguOO^ z|9L!bepS!^*}Rp7PsHO~ht37NsORFj>)akrdFeB*W0#Ke0JrimFLl8wYuA5^ zc|2|W7Y9!p|0Q7Oyyp3j-6vcUJbyi03bM=RW_6N*pUC#<4PZB5%Dq)lJM+0WRu5J~u3{3OmO|`E#C2t_Hi8 z_qx@A`*~Z#!)ct0g<(w(r*;Z_E#P9DqU-S5;E6m(Kex3GcwC3nzVke0UD)|tOmR5R zW7hNRQ*^u#3D(J0J71&fxKWOgi$p zYW3XMC5%h*svBij@T_s~7KyL5+&-!HrfFp#?H=ky^WP(kFS;M}4E3UQxdnKfU#bh| zdUwlECt6=yfv45i*05Xa>o(wV{d1jf8^#gM&vxL6dWfzYy}3sPCzF`7x2V+sJO14km$dw;=fy>|L%%^3Ak1d6Jgitp&oXg=akRr{G9}z zHh;^ZPIUd844$^XPl4U4&#B;Xzy11bfSt#m`W3w|zK7Qy=|r#hrh(_I2a)?BjiFxj ze#mt2MBbzMY64HoS94-qGZN$4)8kRzoc*Xn*UEXK1w5YrJkMK!i+)Axsm*Jrn4gjN zI@`gs=I2cC{Q0?8qW>(#e>QN@pXjW{^KjU$ z{2vj<70v&ViF!vR>KzRpugm#-mCsdHh8suyY>s`Ch&M%ZDynT22Iy?;lWqiu)RMm1QS833h*;oD5v_Ct5$JfG6fjw0=$n zkM~WAgWpRnP8g@b&UvT)u)XNb>51{20iITWXTr|sL5f4%S1V6A3wF^TVXxhHI~zQ$ zKj*-%_2*pJdHnJ^i@jfb9(a5{E7qaN^YrtRptmcQJTQeOb?bR~9)W&a* zUIV)rM`5om0M~l$<#iVOexU2X6Ll87PjNkXoCngYtvj?X-2gj}v$ihXXz1LOsB<%T z9Csd%b6tY#ms`N&`H{!v@Q|`w!ISe^{@&MZu=BW(j`LjpcG!76rFe>!_6`pxzXHD# zILAf&=(+kX@WgmW=k49#iFpyN=X<~t`&jY$t$V$8D4yv3jQhajJW+p~_qXm3389b|w zUI9!$&~)ASa2+;18mk5{>c|8^K(w0_V*4L~XN~vA;92AMi4xDJz60(PD+{~bK>{`kN#efo5&!!P~)0lS!& z#pj&<1kQCqEs~uJ?0;$L&#`it|+E(<{|7%H{!2oLl&MyBPU-Vdwsn4%-Wn`C#Y%d;O}`_59%R zxR8!>|Fg1NWZ44XiT*|FXF>2p|DyL#7K+6ex!znDJhA`uZkQ}SK!E@k0guOr`s+MT zTNHNAC-u{LZ(%XmxqitX_1lTw%FVLHVfXi)C4hT*4nBvxBzRt)nO7b7rNGnru{7*j zKbC==^Y4v&^||S?;PE`p>nHzy*yVs*Nb_klKm-I-^R^O(31Q`!|c_nY$Uo^!CHb@SSxx^{V3X}g2R{U*JU`R5NhRkr!8 z2kc^98eOKZmnb*272kQ=(`!eYXIp?L@)MnBTY_iJldZtxJW&6l>)h5}yA)saKG8Pd ziGDiwiMCCQYr8~VFYvT^-WztU-ul2U@)@nSzTi3QMeW#7J^%CrPvkRt{^<`MpSSY* zt3J=6`>F%H_VT)`+N-;JmJI~Y8s|aaX?Ys#wMX&DxU2me0-n{sq2Ouj*f7{d-lOZ- zaPX{kXGEwMofjj)6ZwjsJGT$@qUVuO;92|GXz;{3RJ{K(2DnxSJHXC$r`5q&@I=3& z`{Fq8#Q0%7bMFuB2p-R4st3LvC~9FR*g0;Bi|s{q?hHGhZ^^${3CDXl`4#vs!1?@0 z{NnR96Fi*w#pi2w1#b0sH}FJ%qwCx5;BlU{`Y(lga-LLY=ETJK>O;L~e3QTv`6;fG z%fR_MgYx5CCr?g{V@eoDv@WKC$Ky_Us;x`3ZZ*Kpd8Bx1_G)&rY!C3Pc|8q0u}(zi zbt8D99-{MldKllxQfphey~VxH-vpkvel^3+^Mm^7T>s60o#UoFMfb}+!Q;4*ui!n= z7VyOQ7oSIO1O{wNfAB;Nsp3{wZ&Pdcb)6h8!cAh`QJgZ#?RPTqK4W8(ivyPktyER|W_1e?s>v@TK z=O^l2kf?WIqTWT|@qEnZZS3=g7lY@o-eBH?NoxgAB3fQgn`^qq`==*Y4CF)%bp0yub=kCT(oua zI`G8(jiR1=;Qq$-u=Bb{I>qlX-2mLm(~aO+{kkdCi=Ojt29M_{#S^`Ly9GR}9&QCs z%x7nvx-E<=dd|5WJnfuwhu02`n{)r~PT0k{!Z~-|1-sRsyTQ}y`ySYNJSYzLz8CHY z-0QVRd3Jd?^WO&^_nY*b_iXQn-T(fQ2Y`#ZbMC7>2)oFKb6@Qt*sXj#44$Z$=yk>; z;92$jD0rMd%1iXT@ECYJ|MGbnTNfV(&tDgx@bG+`I(F`wJqg@DZ#)H@^Gy6P!|Jl^ zX@&ochZDb;@y~iV^{>F618(K}dGM@!zW^T3J8IvV4==(l#^0F_FTpOxD>^S<29M*W z{zQKl@0Cz5dR_D?c)VW~C~?OshxLW=W`GF z*X-i{zg5ZeN9Z(fdtbC+d9z zo>m9n!Y=wbeq?zPeJ|?NQn{s6#_=%wE{sd^st3vM!Q=A|<*oSslpj2t@>G2P#gD+P zy!-?n&qMMr_Kk`3kdNXl){cCk{TV!7uc-a#bJ<@)z39I7YhrxAfv4s9ci2Uq%YXfGHl4aZqRr}&jE9R z=br=S1}@G?&gXvSf!#k3%nO|JhWTF|2fi;h-~Tao*6~qYOB}ydq}1K1D=opPhv1q5 zg%(Qbk}SzWtl0zzb$54ncXxMpcXxMteP?%nvzasJ%x5lty!3r%=6B}kJy#cgG~Qi* z6`$`|5}dVX^!VCE___G#dk|fPUm>5^b;oY-)B2}7?D&&7ooPe*B*{_$vK@MWTlH8P zer#R#u2U`pyVZ}&!cX?&a^Tu=VfnCp@3^o6?Ckg7Cgh8c2DCM|<~o1>ZAJJ|zq|fm zex2*gO7OGh^UCnE=JP7>qjBW=rFb7>RdDS-#%i!z?YcVrWV@~bPWu*DuD6d|6LxBM z*B;(JaxK`sc8FYGT^oL^U8C1m*MT1!Z_)GEbwj=Ad2CPkS?lC_pYq)+@}m8-Sy2$pB^bCfb z#*53NaD1j0{K~&uwoRB%@qTXqK7)G~_I=yJZjJNp;K%wuI?lI`=|#rp4)CM=UHzit zb4U2mI_m1#`M#XXe<#>kJ9XOKq^X46YVRTNWA%%U@2XHQI=+X7deMFNFyZIw$M?78 z>;J>yN5>o2Ufy}~2-w+v&AXmD5_Yz(7Js*I6u5O991TBt92^5q{pj+KUUwKP%5nKe zuRDx`pEn*m?}wDvxACG}jGyv8lh(@#aXngh%X-yuJ@PAWV0MNd8&A>xpBU;z*SAT+ zPn*Y+;V1W*yQIu#iYUjmSM>Vf)RcO=!cSXocZ1#Q$H@L>8vNM2i>@ov;Yam%?NnI4 zlHCP&^(yii;MRJ-M_7Jz|1uMPY#kb!bw6iS(_B-Nb0zKxJ6ng!_QK%F!0xq2WL(dJ zAI&FiT-U&l&G+K@S)XFf0IU6_UhLJF59^ooQ)ScuPUxNEwHnF2HA^i&0et6dhg2f z&M#VpzUyD_{2~uK>zC+$yDiMaJO6Bl-RhTl@MFh^;&ajS!D(K&dU*Tn1+cUJWOg@k za3QS&eyl#x{r|#HFM1r`8-8p)^6PTt>v#LWkBtxRS59!>Fu&+=VZSiH=>6OM;YZ`6 zFy6|~>$>aS2f$AGyZ-OAmycFSa-b;B=|uMz2f>fVo74057YC=*ImFO86n4tn<-^}o zEFX^#gCA>m?pLni;qcSi=?GDt)=o#lkKQYEc}-}^wY9eu?{*}~QLxi|b~><^b{a>+ zPUG0ck7;w)gPY1blG4I_4E)&pVxAvW>{$3&^X@qKv382SuY5fG*!+o(&lBLMtnHEM< zw%%lCoB=!aql;(u@^nwmgdf${wL`Ik&l23l7x~%XR{Nh5mLFXo&V?V%S69Awd^itw zHeS8s!}-GQ;_3KP?2`*%r+MY-LH1%_TnIb0Q(+v`XImSa8?x@AV6K5W_99V^)A62L zycl-;DUYX10H}Sb9WNDnGVjY^*Yds`cCFp65c;lMuidVMU5sa%F+O;ph4-dcEQ%_{o01 zIb}Y#z)x$ZTVc1>)!X35+9|rvyd8dQJn-XGc|6^gddGx*G}GZEqB3A z$0^r;-tT7L4Li+y7vK547`GDL13RssF22+5mbZIhXZ7Lxg>rrFgCDC8_bb=ue)wtg z?E%;+Upe0%gx#7S55bT1S9INc*vRLRP$&8x(WCHV?Zo@D+)j_dkF^u`E4S0*p*H(StUaUS=XLn8c@iBzZwNnEe{Y{k1N=?+(fvV}cWEC` zSGpRVZ)q+*W$+gKXdYwr7&58mJULHIen=s5cke%d(u33eJ6h4T1&~h9AF#9hz5V*1VII+b{0n|G9t-VI z`ks;h9_!!mWBusud+7O=f8a-XJ3a4u%D-V=(f<1%{Mhw^A+_$+!sdB7_gnDIO|*gd z&&sQRsl5_hpriJ3?b*5ib1sX(&ibR%?$&`tVW;bSE`IWuih;>u0Ia@^4cUrb{qR8l z;;>WuVjKncE0+j$##i*~(|79FQvOTA&c>tn{B{@Ey>%dR-=Qn~s2^SbMAyx3@Uzyv z?x9|E-CGKNY+gkBy$AfXdAoF2UNrw@;AgeRvhbtxrn*^B><_lWDEZWookS8r;gT(|M1JBYUyDRfH~;x2oV& z-fG}9ubjWP4=fhylvh{c*ASe_TT^f_MrksU4d<*y@Bd21{2>wr`JU3sPZ_!Xsz zy{;11Q*g?2J;5o@^}$)Yl;%Iae@J<5pu}$|IF+}N;8fnm;55IS|G2^jBi*X&o~3nr zM-;dT{OGw07hmnJGBsw)SDH%e!-%R0V;3p@C;#6hp>a#)E?RP@Pi!W)<2mit-r*n z92z&osT^ug;^a@q2jb*U>jQD}r+G`9{3(Ab$N3kZhZ*30y{^y&v@XdwT9?^4^p3|g z4(WJ8<-2m3Up}FD@^j@^)#nNagyO3VB$LqilX=iOO*$@qNNc9HqqV;D@&yUdxS;lN zd3ft5oga}twcF|#hs3Gf)&RHiUQ>x*3!LT6+NGAJRkF4czmDLP@4A9hzC8se|MdhX z|MkIXd^mq^d~cw{Z3s@|#>I7>r%-1&pN-(h`lIaE-spbkPv}#=n+Q(%ZVFE0()mwv zgQ#@zquiQFvY8UUIk?rITZnR8`GxBpxqSKNU&&!hQ4ZzbOK{46D{va;&cC|3wWYqJ zxYTCK17d6VvH4V;X=ty_m1>&whMm=8Qd?`brLFiRL}x=3C%5yZ{&jgUzxI3|=+L;Q z{QC+{`S%02#&hXtm?SL!F_~Px_(3!G!b36uI@b6ZsN{j|YLw?oSEc2web0;hG)m4|hsGyt$2ODdK4A>h_LsZ!#H z3QqMMCOFl1xZvbJLU8gQDLDC$5}f=;gR^lL-M5W_A6svV`^lDuOq07^pNtK4yz@p{ zy2dGaj2E2po*+2oT@7xHyPcKziQqJkTzRzLE~YvOcG_3Ca>-t_OcuJ7?=FHOa`DmiaaU0emA{+dRQ@z@*3aH`X6m2m@T2tu<quU2sK&k9cdv%#q!oj=A;bFO?aaz1tN%$a0z#|7O7{uNJ{ce=otwzZIOdLv-KgmZai8 znO_??YlrIk=GI1cDYbZTZ-;$p{B`A$y*T#g3A@X;a!f_#kcyeT`xMsj`LN4!7l5Ro4WIs_3mA}8> zRQ>_rte>LCg9DZLgTProdF#u;O57n~xzXdbqIT>FjAG_}>2_ujeEl6w^V*!U@356gEnHD%p<5!jj@4L@o(r#C56Q&XR5 zZEmY?%`G?vb{e15kH-p5{dgQW<>&mP?Rh->wDvq9)QQg96O}wp0;hVpJjS`JCkqNo zWT7KYhP?;=y8O%b0y+hp^+$Ck+f+Cj6}|&po)D+PkIHd6%&$Fv8tk(DP8Xco?~JhA z=r}l2i9ZXRwSV-ueK!2~am1Zh1;_1kL^;&|=L$~wp9jv`ExKcRcW`;Uv@C;Q=I!KogX2u}6BRB-aYOmOnQTyXNgLU8iGQgHIW z3Y_MP^B=;8;?=OT{b$MEo-bOi5q1~vT`#>Bc4{9g_d3BT&+7#z{~H7+{~HA-|C_*R z960}~<^{!_OmU9gti;^{ZjG~BmH6AhY23JStKF%IIBQRm+l8OYyXc2s@hOk5JHmX1 zWOH-e{>f>S%b08V*2|4B6+ZSH5>I`mlu`zmjtKsUKX6ndj*`gd!{|SUi7LG z{~9=JcW>Q%9d>Qqd_(9`zHbUn`Mw3t+sECu$<@@i)pvAm8nfLrzcREhr#oVEKH*X(Y)R`{$-X9Axq@n3+maTeWoeW}EM1#Z>(Jjci>iizgOaa5S+^UQE)2nCvet3(RKT0_;tr$7e6#Rui0InDS=n%n_3A1(wL>?-$-lecl?^rSiJ!V`Q+bhe zO*2r59|X?E>BRO~?uU29hHxz6$DIVHcCQqi{D*+Ed0D&;Ar8Yy75wP@-^Ewf zx#{f=Vuk6Q429hqFT<2PhJ&;Ii?-JYC4QvfRPRxOQ@uwEPX1#ACx1LtSAM>M{KqN& z;{_-G34)V;HMmv(o#99A?BWZ@$Kd&xi7E9aDfvtWXXB#Eo%An|XIQ%^@l(Lr`qntB zPrp9>Fh8a$ak~mm?Y5iX)Na$jt#+HP#P2RRl{Z6hDsK;PYJcY+T^DC6@p}qRQQ~XCX}xmgMUPim__1}-J6_F(osEa+^|U%Ak9xtW-Z{ak-g5*e|G9#b ze}mxU-zYfwH-Yo|l%C`A_vOt>e2d^z-d=)Jd98wze_n9%Zv&_G*7;}J+nNUqoY`+` zVG6Y?aq|SHa^?$8jAoXr8%v-w)>*3*pDwHM&pR8-8rO zdHb||V3)_eeFdj_><7-~WptkGuf!i9IJMh>f>U`12~Pe83r_xr2u}Wo3Qqoqfm3@s z|LFCp!;=j)M5{855azDEmA`5q%U`5!Ad`5z}Z`5!Mh`JW&-`JX5_`JW^> z`JXH}`JV#L+ADe#a*oia_BvN^YOnJIC;#&WC;tn;**X)wesG}@f05u+-o=7bd6$5* z{*10em%@+Q-Nk$B&}G8z$}L@2!AZ&Guxr;{t_bsp&ciF=N9!Hc<0^2r4)E)e<@4{W z;m6J+xLV75u0l}%f2L-3{9ul1V9~PYa9|7mRj_Zc38o$Z&r`_qpr&=VsW9tR;%O@{|I?+5{R`PfSochbv+gmqZg`Ll*;(inR$k&7}wcG20 zQ@gz(IQhRRIQhQ?&W=Z=`|sj;xwqlR?r)8CzcIcrn<)*x=l)OVQ@Q^MPUR+xmIeyzXSTj}-f36_er((^zkISN?6O}L6P(Ij9GvRo^6dPc zM0vNEBugmqOM@+{A9o83|+HC{D$$vw^$$ulk$$w+P z$$t~U$$wLDcKnLIzrUFhzq#O4-WGyWd0T?Bbzoda4d!?G>5e4n1wYo0%&)z1E7;|J zW^1L~-r&~xYK0QtM{ufVU%{!K{RAif{(_VL0Kv(Bpy1>`2wc{Gu;Ras;H1B;;H1AD zIJLj?FMo%taJblBiQ563%?odTza#AII9{^jIKGq6r93MIr#y!UPX1MblmAd~KHf{$ z_lr+W(`O`-Ven(~zqIb->FVJ^pUNE}IF&mRoQ?bF`SvI!el$31S8u%;qr{B`XUB!; z@p2se*!hh2yxw@BPxYN3IMufroUPZ<`%613@e{$>@gjQNev&B1l|RWn>FHjU?A$XH zc3hK%pUb~Gd^E#CHjcyQ-=1lgEKw!L9XZ zH~7)@3zv`geV1uMpZaCG;M6a>gH!#Se{?*|fFF%F7w?@H>>>22+?j$?xqE_J;~}HO z&q^6zqr}$=PWfg9r+jA%PX2X*lYc!pt6y|~l7k<$zl+Cnp!2e=dH30`hFrcdUgyA% zjgRVlw!QG-boTY9B$*38TBn^}rMpwv+>mk4ow!#)8enJp_7U0UTK7fjf`j`YHO?#> z;U~vwQ<%r7rnc6Mzgi|qvl8C|PUFb6qj&#eFD0%OoUND9^M$U*5vi9bnjD(_^$sk~Fb**Y2B7n}+| zejT82ye__s?3(s8p-<(WE;yBY1~?n%{5#m?D7B1!1v_hp>gI-y^7rVj zR?59ba2mhY3Ql=mCph_EFF5(%0M5oqbiCiF#NQN&k9{BRW+na>!71Nc1*d#(1Go0m zw=3~?2u|hQDL9pP7dRV#(c|XbO8h;7Q+f9aPUYPPu08j7zY_NVIP1sgedq_3_=mt* zJ)`$!9#-NX0jKrQ)wA@zc;DU?h4t`JCGIhBmUn6Y>c57RJPtpaf3Cec{qjlj1ng|R zb^F&@;_2-qc@ln74m!vcAEdxUr!58{q>CCmMQ|$bRl%ve*TV9!FJvbTu3cY;AFY2b9)4~Y?%ue319mq4qU-#d z@MGh^+eg2ZQs-?$=N;JPICxiZYKQj(r*?Z^aPt2^aPt39aPt2Mob@YzKBv4d`51nz zeI~iLAe!i9|4(3N?HoN0eyZg0nc$T7=Ymt-UkFbAUkXnCUxBlFM#t~hO8htAY#$%J z|MaaA|DE8J@AraJzCVDob*KDX2~L>{%S!Si{8+z~{R%f@e}bLWn|&9iQ|V{;v3bP& z+Vj7_F30V!f>Zv#2~PF>U2yXM1Dwit{@y<3PbKaza5nDv{pfN9|Ars6rz@BHmG4{s z13&FJ`LB}4|H3??>&$;)9^9{-2ffh2&Wk!<<}26AeHR`bLj6MRxhMeD*R^N#JZCW_ zesOSXyf2}|FA2`ZUGzMmixS@zob_vT-_T8o?+(tcUlp&Pi_`98DJ8xKI2(`N_Xn0% z;+6qt^{$LPx3{bkzZ^KLcX2=BPXA`P?>?1#etG!OdA;lRv4!)~hK{B>cX1$DA=HV! zC$plG$4cOA{8YNj+G6*VBr7ZNtANvf$c;bmxwlo7xYY!wbz^nGX`HVC&e|(FPS#Z7 z*Akq{TU&4{Zyj*fzigc>cTch|{Am2Rc;@FmQ781N-1P*fa@QA}{5KGs{5J$=c}B0R zZKT9+9L7h#BeaPUzp3Dq?`DEizMF%y`5L|6yaoJNyL#7~w}hRIhv<1#FZi+f!~F8e zRSM^uo2Y|Ej z61_h-P>CNTIORK7aLRWZ!O4GH!O4F+!O4Gn!O4FI!O4F|!O4Fo!O6c;aPl7_IQdrz zPX0r|t@a(J#19vo${Qg#l{XTcjo+%+_en-6@uLN&^2P{G<&71b{KpAS{^P;f{D_X% z3GkzOxcKP()oM`=mA|v#RQ^Pv>-?k7qfLUJcOAISJzj|~o=k?_T5ony@|Yqx@}D6%`R@VF`?35>;o{kMDmuT{x~C|I z%FhT+<Tk}4rls^ZY#=k3nQpSD1qHuqUHE%LkiEjX>c6ag7_f{I=C*NCX0%!X;?{`9) zm2z7Ir*_^;aBAmP!O1@_IQh4M(>}oYd)NQlh26z@*Z=3i&gX6HJ=^*4qyBd~?0YWx zWC85fc~S@b@Ta^_SO~!Kh+a3@TZ!KXoQ;p@_apaJ;`bAr+I@e)sof6<%Zr{@9tc0` z9~VD1*VxotpP7|w%QWQ=68co`!Gcq{hk)~b;NPP-6n55*Y(Lle{OMte{^8(ko<`qm zJwk~;QgEuzQG!!_jtc0LRhKdGm_*u__6k5 zZu#VR*zu?EyGzCO>jc3m{}Tl#|C0nK|C0qL|5F4f|5L%)xQ?!Srz!ELgInX_4EV8j z@qU-&OxW4_=bgu%rIdd*xHX>6QR2@9r+#L3zYIN6rB3&BEhM@E*6~pFA<#lFBP2pFB6>nF9&Di9P_($FNPl7 zy+Vn<5?ns7dX?gTH8|@(_WW<>k@p(-v2~95wKrZ1JKG;kY;Sa5Nv~y@D z*9%VVbc5j3PB#ip{x=Cu{x^fOaZ)_~6n{6Djgwo1pNpsWj7q(-(K5t{kp*^6) zJqT`H7kLPNY#e&mMIILVl>B{rIYxbNH_q^bg=L>>Uo-cy4`5wJ)|B@2_GB}%$(f!pcO8l$ftev9I zTfU~mzYfmUz36rOHvz3;fcr`%G{ex1WQvb!J#o;X!u)@S1#~ z#D59S`j6k&DjzVvf}dA^_FdkuL!IdP&^JmR-wICi^*h0--rtAiMZeSfgA)Iv;8fmE zf>U`v3r_yO2u}XL3QqpN2~PgMgR_2!w%;F0{GZ^~`t_F*|F__j?>~Z5zW;)2`|JNH zasLTUJrJP{2M$hpRP)LH*nrAv30jQ{8+nq=SfRN@`zmr>;XTk zU6zI))tCBr8Nq2BEep=tG5Vd&<>1HGP3Gr*_g3grxhn`x<*q0=`L856`L7Jl*Z0`> z=~q$WR|Ti`bLB;^=dA`mc|C7+aMn)I>kezckM%eAOV$i^qQ}d%;79#P?XY$jAHCnS zjuOAF;MDFt1*h`X6P*0l7o7Yz5S;us6rB7w5}f=u7M%Py0k_7%rb_%~f>U{$3r^*2 z0WS8xz5C+4ZA&Gtm*7;+R)SMGTMJJ9y#*)#3c<<0kKp9r7o3gX=yS#WgrAGAuFp1g zeit84+VqDXtp~3B((~0=I|snduJ4!ZcwclN?CkjET^}C=yBz<6!C5_``|NGt$M&1v z_XxHX`qX~g2~O>|z2M}(gW%-9BRJa^M!$!@lM-JE&gvOmCx$5TRf1E#Lj|XNhY3#p z!v!b*5#TJp&gXwSFB>N#;YZ`d#drGUlVp_8r*cONPUVgPXY)UL|8cAmKTdEeZ@l1C z-UPwPzglqe-x-{>OLU%1RN^OrvwcPMxtz&L{4Ro1zEcFJe5VRd{<{iJ{=0#*^EB`M z@@cTMc}Mo*%%2WB>%ZuIm)+sVj-$oza_2LxH97Z6&kWev{KEUbr4ujO!tDV+xsJ>P zXZz9U^@cr__zXC!M|2#{f*-AOt{o?5+T2I--7iNK4k0zL)BJGl@2#V?uxsmR7It}k zb~d=Icb(wW-}Qo1f9C`z|2cw_|6Fi(9fhtl6rcU4>&*>Hd?Prumn+Y^Z_uQ~H5+j) zO59$8Q~g>6r~2i=S-(feZ<`X|E;yApPjD)4J~&$sqUYHQl=u$8sl0`PQ+a!Xv-K-_ zKW`r;eqV6bKE>xp#bx_sKlrivUD@hh5~R2P_Yd=kp5Gk+KU$AmJ@CBV>}+d$L*_u( z**Xz@KJFm+QQl6+_rregVEECzqV_yQaB9y(1tKSU{>Ou}^&om*;{^Dze)N9F_C(leyts0`?=hXElz%cf8_%8l54KM^ z1%9*+yZk%-+&<;hP$zm^KMj7Y9>x2IrK3_Vb2{vNJjQ+}>5NckTsGg_TKWc6d*hj* zPW1i$v*5?;Ro_vQE6m5j0r_m$+4{n++jL&vIR}2!{;qwPUp_e(b~!K36P(7y`QTQ+ zTmV0wfAM)Q~kdLXZ65(ivV@ zRPP@JC;y)WC;y+pX+AiAe&3}$VSiELe-)g{`%Q2v?{~q;{|~{*|4(o}Z({fP{(_%% zT>D#;L*@S?IF|8C%PozD4> zoLp7ar}v=J13cZ8xTOTAa(W0(?k~M`swcA>PQ@gDlDc8NnT=+OW|M{V09r#iExOne<*>#0JmD^KrDtA4>$$x#p z$$tZIs<-p^u3v8mJIxChSF+=LXd|IZyPODzfG0+&A_#MH-}xzcMI6r zc#59iY^jvrD`osvO8nN~tp3q;t+x_i0WR+s^ill#g46!U^-px)(+_^suCBi(W*Qst zV+u*qA9igYH$W+WAUJF9==G05@S{9k`P{F(e;q8!q4Bnj;56R0Os1iR+a4K)O;8flS!O4H5;N(9FoLyh4o;a~rMeovfAsMa2jR9x%ijM2C zO8hu*HZG&S~p?v;39e&gwZhRH{ljiU4VP4UC&48br zcYA=dcE$B`|IXM<__5#GN%lfHvqurszFBF{0 z+gordZy#`0zv%UXeU^hDAd%Rew4ul`&UC{G>-xvGpgWyNwmfGWB!KpnC5uE%F6`cGJ6P)}H7o7Z$0B8Lh zU5Af^pSBJk1v{Is-uI=BR?0sHTwAw}RpO2loa%YJ;8f2Oz$t&{?;Y1qRN_toXYCW6 z?nQ{l(fL+`nZ(_p9Zgs@S}M`{dk_>)bHmDPW~5!DuFFi-&Zb~&bwzp#0Pi}!9 z^(WQ;R>7(Mw}G?k`_soXw>M-`_Om7kDcF6 zYi_PM>Cc<^QZZglmC-~lmAoT zY`jk&wjfv6jw>NF;GS0Ep8={cID1{m z;|;;7zHbUn^?gfl@_$=!@_$Eg@_$!w@_$co@_%1&^8Wywtt-*<<`0$lkHD#YU3uPh z?vG(->za3+`xDq%KbF69-nptJ$*1t6eX7g9>{l4NpTW-hF?yW*9DZ_r`~uus-@b&O zT;IL|=lk#G2KSpinYv;%zE;ZpMsVt{Zw06R`c822|6XwN{{ftiv(CS`F3=6`AC9=CUzPaZz*+lw*BgFU;{E_<aN^`SI=if=7+&d?>`$DZ$~&bTki;c?nz$xtV{&U8`o=n78lSscf?h2;k|x+!tp z!P!0_dc9{U_|f=v^=Hq`b%ykSA6u`Y$DO6&$J(R#J!Sg6pJiZ|{kE*&)DO#nvwnzP zmsuWuG#^~N_kFJwgg*8Eih@(QD+x~iD+^Bks|Zg1s|rs3tASg;ld`%JzXmvOmuzlM zwl&vOc$KL9e9M|j{91xjzH19k`K|-b)+z5g%eqQjPjEVZxpKVcwboPO)(^|`*2N8k zuFG?h`;=pI-aW)vSQ$199!v(}%*3j&m-5_~nZ~)jAAzw*GkE z0~)TBKSFS7uaSaNdyN98JeBoUwvaIpYK;|M7y8{{+Fwzglqe-x-`A zujzU5&Z9$;OjP10fm`!^vM9%uAH9ySOQ=`c_lf7erYQML6`bn7tKd}s-2^B9X@Zmg zba3rBwYw5G1Dy6xuAJy~={?{_>z6CHcztLlIBVz5O&9B^J(cn^f>S+b2~PE_0k`IJ zE&OO6xOne7HCdrg<<1tI%B>5_jb4YVSK@PFeDwPD93_6P;FNEJ;FNEp;N;&VIQch& zvvoGQPi;}+_X4N(cI8cOZO^vQuOzf8ad~jopV56vn-bqHIMs8W;8f4~;MRCu06&@+ zEzBqp9d5pbb=j&bUeU^RT$M$`N?-u3e<>nRN@7g!aCpu2| zgP+{@?JqdB=K+FKdmaeRj%(gN_aNA5T)4QA9gXgXk#V#5VA!c$TzTGgs6$}au0tIf zmhZh+av1D1u3h=j_eu_jAGHV7`v}3Q-bV^u=O5i)9R)ucZ!W&@9!f4>epsY*9pGr; z=k%ic(_@r;js>T7a`DCUl>Qa{iv=8~#2pV#?Ng{nroDk*y)MR|pv0djxQj3PpCmZ7 z+sWW`UB~%1&g#>zPrp(#B&R5GrwUHxoF+Jxb2>Pim;C*o@{#Eb_|d#W|Il-c<>xHV zgdg>zD?j=i*I7zFXM?kGKA|Po)=qCEp94GfpUb0U$BnRaVQ2gFF>Tqx&#;#!5>@Ct zrTp{3S$mYe11)~a=>jGG!Z1F1{JIE!tUbA3xjioyl*_#sKI7j{>!w|?FL zI~!LeJI2+Guxso0O|a9tNcrC!mg_wia*GmotKig5w+T+=+zzhgcL(fjycLgkH63lG zi}+Yq?t~xfU-n)B&7LH=3x4c)RoUoXP0JO2Zq&8e-LSKH6y2}f13%er_lEJ&{lb0l zWBu;!7w(6huSc=(JwBl1@nD!obf55$692H^)Q^t{PW|{OIJK+u_nzN<40h`0!Z@#^ zucx>>eviY>`Y*aaeL|GubhuygBr&-6E7)oFN3pokM0j%5&DJxD}Mh5>(r~Tv;0f% zUHXp;C$GVe#);GE^mFs?b=a-`djoz}|GgRNvG0J;(K$)pf*5Ha1+*9}xe(d~dyxT;%Cyp}3Cw9JqeRUi+TzyK_{5Sk$zx@MF>jbsizk*Y{{STbY=jiq6|KP{+W`6l3!HsZP?jnLy zxr>6+@z&+({m$}Yu+wqM#Z4;Bqtc;oaYc6t!KwaB3Ql=+0cYbh`rW~}_kf?){!7Cy+kY9ssou+iv-7zjweC^-=F+dIlz-rNxv*UBmn<*zsl8VK zr~Y%?+h?pO;wZ0`1Sh?f1tDW|ZS&`x~~ zMSo3jHlCvQ`PWk7*9K?v!n;qrjuN*nIJLK{@0ixytXYM(Ckjh#PuQ*XaXq1*$Mux; z6~2MOH&pmW3g1}an<#u!g>Rg%4BsaD|Uh_(+A1Qut_vk5Twog^yGCc!f_;c(uZJR`^7PPg3|~ zh3}&9DGHye@Ld(Yo5H6le7eGSSNIHt@1gLS3g1)V8HLYMc#Xnq6`oc2Y=ze;yk6ls zh0js=T!l9%yiwsz3U5|;i^BI(c&ozm3U5<*yTa!wd_Fjxcer&l(=acaTcG%ND10F} z?VFuWzP-kMiab~2ew8&z_EzHdQTVW0f9EK1 z=PLX>g`cnR3lx5#!Y@+z#R|Vf;g>4>GKF8R@GBI4rNXZQXY-=beJ{Fj7baKZEsKOsp_~QzHLg7y; z{3(S$t?*|Q{;a~EQ~2`=e?j3dD*PpdzpU_A6#lBhUsL$&3V%c4Zz}vPg}<%vcNG4v z!rxQ)`wIU+;U6meBZYsg@J|%}slq=~_~#1$Lg8O3{40fjt?+LY{;k5lQ~37^|3TqD zD*Pvf|E%y|6#lEie^dDH3jagle=7Vhh5xPae-!?&!vCl6{}i6!M2M~@yZv2Fwl#~V zTasiE*y*~wvlsVkiz<9Eg)gq~B^17-!n-KED>&PSG&W~ul}-X&#@&>-?h0Q@;XM?- zw8EEB__7LLPT|Wdd+E;TtP_6NPW8@XZvyxx%+l_?8Oq1G2Zisb@SPN1sqi5RuTuC>g%4BsaD|Uh z_(+A1Qut_vk5Twog^yGCc!f^@XY+>6(~I{#tChH&6+ThnlN3H#;kzh&io&NVd{>3< zrtoPBpRVxT6+T1ZdnkOS!uM2oM&Yv*UZe0@g=ZB$8=UUXyZxB^0(fnv(Or2iT-?FW zDxg!vs-g@?g(7GERx)&#NDp&I~0DW!tYY}-3q@4oL%2($h6MOWJ~EL z_bPGsDg1tgKcMgj75GI-bImf2&c`ID z=anU=_beo*=jbJ;=eZ@P@1{yl?*~av?}t#FtDk!%r|^1DcDDOGR<>v5m~j<-lZ4*i zk@0IN<7!QXuch#{6~2zb*Hw5=g|DaZ^%cH>!Z%d-Mhf3p;hQLYQ-yD)@XZyzg~GQ~ zcrS%-rSPp4-do`n3NJm)6s}ip$QA#|@zzh_{S`hy;R6*uNa3Yl=?nARM)BWP;oB*E zdxh_y@EsMtlfo+%K1AVF3LmQQVG19v@DU0hsqj$>AFc2)3LmTRaS9)=@Cgd9R`|{e zpQ!Lj3ZJa-T@*e=;Zqg9tHO6v_%wx2SNQG<$Io{L`++?a|I%IOa6ay-_~URL=+9F8 zYZP7!PWu#hyquM(&6V$u(|MF!w`MDPbqcRncuwJS6h2qs4GM2mc$31L72cxoy%gT6 z@Vvs?6yC1zc?zGe@C6F*Q20WH@2&8C6uz&*_fz=(3O_*M2P*s^g&(Z&Lll0f!VgpU z;R-(job9_?GWiZg&(8vV-E`Bj^p-OxS{7nJT*;_g%U{R)3T;SVbOA%#Dz@JAH>sKOsp z_~QzHLg7y;{3(S$t?*|Q{;a~EQ~2`=e?j3dD*PpdzpU_A6#lBhUsL$&3V%c4Zz}vP zg}<%vcNG4v!rxQ)`wIU+;U6meBZYsg@J|%}slq=~_~#1$Lg8O3{40fjt?+LY{;k5l zQ~37^|3TqDD*Pvf|E%y|6#lEie^dDH3jagle=7Vhh5xPae-!?&!vCl6{}i4qQZg(C zyE{%7|7#J2FRJjx6u!8^mr(eU3h$!ut_ts_@a_s;S5f$?3SUj(t1EmBg|DgbwG_U#!q-vwx(e^9@bwhFzQQ*EXZzh;YtDTf zwypFE!iGxRMhf3p;hQLYQ-yD)@XZyzg~GQ~crS%-rSPp4-do`n3h$%vz6$TB@cs%P zpzwhTAEfZX3g1TI+k$uNT#sirWN~uo*mg?X_6pxY;X5jPCxurke2BuU6h2hp!xTOo ze3{PnXlZY%Y0DMwRwl^^C2k}*J5TrCM;N8VjaK*=h2v&?aGiOa;y+&D6BJ&p@SPPt z5xje6dwKV-Cn<506~2qYrzm`?!gp2pZVI2K@aYQQUEwnnzK6nRDtu3cXB0k5;WY}c zRd`n6vlU*a@Op*k6h24ca~0m8@J59_{&rg`cnR3lx5# z!Y=|}vGX{b&o*S6-2JN7eBlqidvmc8e~H2`RrqBJzg*#0DEvx=U#0M?6@HDvuT}VU z3cp_AHz@o@h2Ny`n-zYG!f#dhZ3@3#;ddzfPKDp4@Vga$kHYU&_y`bg}St!rum89{thczR%t2 zF2>Lg6J@~Pfgjyxn_K){hc~x>q>3F|a@}3d@ei%Q@{SHd5F<0Y$ogL-S2=P?@`VxqWh9SSzkX%te4SF~8$;*YlsexTI^U<%`N7cnF{RE= zhR)9^b$&5)euaI>&UrX_+`uIH&4~LwW%+*?I)B1W`!F}&MwEVu!u=>wrZ|O)nf+zx z{2k^~>8?W2&xc{PNRodHoqtp6{Lj$&4|Z)HC5x6CTwB)`fqjL}ewmVOZEbfSjl;@R zGAwH7EC#!l$Kpo(60mFQ>yk!%7uc=!t*fEaE!2tjZ+AmysZb|+-05NHES*wk8AE5; zlsd~9I?IPT(e_!v&{+|7*5BUoY$YRptZ>tQzLw9oJVg;#W_Z#~Oytny}Np z(XCIzbM9yAYuZc4)U}NGwP9!N>D6N$BYs`jt@+c_&{;3c!|T`ejra{x=CPrnvr$T& zjSZbmU}x>>)n`*9elsI}b0dC>Fy8CeEsgkIVZ4|BR!02Ru(NRyo$tL3oeCq5K1O`s zFpubb?`P=rPpLD&&>0B3b=(|e=nPJo&o+k6wyjf_Cup+@{L*jas|<9@iIGa}T9w#!IEXB6zLKHfYYZN!gBna5Z| zXB_O>acaB~KOtov)rQW_DRm|qI+I|x&I=|RI=iIIXNsXSHPnfYyIl>P-9nw{xSM9^ zOoyF~J8vHCZp6<>na3W6&P>?Z`d0eg<(8cL#la-m(}>T6c|_ZFmZ4JvyEgu7jrc6= ztUbMXJllw`3*)OgGM%TN^+tRScDAlX$Hg2&XD;llKfLQV4Mu!p$~>A3oo3jz_G~fY z_X^{^@!e{~=V52<868(`hE98^6YZCIhR*zyItvV)j+8nJ4V}GV*ZOB4BYt1lt^L4$ zhR*)5vwn)U?*WF+fv~gsc;n?DBmUr&c^qQs916QO{|+ ztAt(NZ@W5W9@iK;*TQb?@2@j-u1}fI4TjE*u*>@(HyLp^!_L-6Z+*GNh`$wfYrfrP z=-i%C=MF>X&QK>hU+yw=?uMNme=1uGKQQj!)=BO$bnZ==&wYl@{jh8O^nelnV3k@zr(JL z`#+5MKU3!Mm!b1_N}YcUoqtp6{Lj$&FQpE>xTHQOf)hNgeHVpYi(d?OYkgbX&{-nP z!#n;jX~cJdo$VK+&%1Orbh?FkcCSFb&nGvb#I%lEF!uVBQl2s>+s==!*lp|djVT0K@V;#Waerp#Dr>h z9c2w8ZcW&&ak-YEvo`Ejd#+>XteaA&r=hbR?5sVC&;6}$#BGqW{0$AAjbLZv!ndfs3=H#$u3v);oxv$}wlQ?J4RxaZw4I@|J?w1Wc;jscBYwv)k7&E> zWaw0;)EQ#vRHf7zYUm7uT{|BcZp4p>eCu0qraiLDM zpT`?I6JTe@iK&zNCP}psw{yz!CmK4FV7JzT$%f7@u(NsNt+P{%_^Gg4>+G(E&Tc7n zrWrcZVb|)jyAeMl%p*EJ_Aqp2rqtQf(8<8A&EHu@d=2cZJ-l_X)`-u-&iXgn9$*0t5Gj!TvXXDIUN9Gyv z^TT*=oGvipJ7Bl^ccG!PcS@ao44r*b>g;Fe>>uhxk9!9gItRk8_0K^@{J~+ocV2Rc z5q~J`tbd~QILy#FJk*J380tjF*+quV#jvye^Y9_nNpgu1cPZ?wAH8+xG9&(S*sc4+R~R~1hIx47 z=_(`sYS>wSMBDKiL+9F1C%S%IXXsoHJ8M_3J~tTgH->pc>vNN#b90!7H_mS{;%^P( zy?Wec#NQsqd*$C@#NP?K)vtFMI(LV8c=fo)h`$$hcE0W1r@zmLzdtPBYljDn_y@yy z@B0A{8SxLpZnfhhhR&m*PIP`eX6QT~>O{x)6Nb){DRrJQbe>MB^NgYMY(yuvk9p3} zc^-DQo)@p1zhK0@2)nlKykx|`47)W>UNLlDO{w#mq4RpE6CH1F7&>pluC>csM*Q0; z^LWS5dDqC}JtO}8lzDt$=zJLF;jKp>8Sx*7c|_;$Cx*_aDRn+GbUsh1^M#@FCG2dR zczD=p~ouTtR>{@+(FyeoNT|4gmWW@g*mhT;Re=*{Jh22_@elv7_ zH}d$yi2pOpBf1X#W$64J>O|+wKZee~u*>7a|BSf*U}xjO>yKpd;^Wzg_8i9|uv`7H zsG+l1N}a_Goh4H0ENSR;NvYG-(CL;^r@NuERHzdjZ#@j1rD4~ucQ0eaFB|3&9k0t7 zI?JcjS;5d*5q36yz4dt|BYtHgeib8rRoJcZznY=5I_%bY^BRWEnkjYGGIZ94-Ky6* zhR(XMYyH#Hh+i*^_tvNNjra{nw>{fehY3TF{b)xODm7%jW?5sV8=VrN2;AILQv&-gt8}Sukyw{$6jQGA`yw{%n zjQIYrYx|)AM*P6Ad@uh&M*LvdS${_RVH-nd+mt%n89Lj;&id1<&kjcXjz;`WMtr3a zKg5Wyf?Yd44mIM3!EW`(a6@NAs1secMjAS!VAuL%v=Kih%p*F!#u_@~j6B90@e@+! zQElk#9O^{db)um&33k@5-nuc_h~EWv>-mx?hR)QKI=dP=yTPv2XPOZ|9d>OU+}((u z5ti>=&)ma^p9#A)@AfowGO%m&f0hwnlQNH5LnoV3XSShJmr|$R(8+~5(Rnk+(3uOn z*1io!d}EkLbUkV^befGkT8#L;!aSnw(Q4@AVb|ten-Sk0#(T%xc}D#FFy33o78vmz zM*Kn}es9>VdApCHvu{eB{S2M`Vb}WO03-guFpucCILOdB7rhc)_LtwhR)Hjvwrc$`7uWPv0=P7&W|(Vj}PO$@=q}0PlVkX=O-CD zC&Mn^Cq2c8I~8`V{Z2FDPdDPvFyhZN;?FYT&o<)EG2+iP;?FbU&o|;PFyb$S-Rl2~ z44sQp>Re*zT$)nnGDGL`P$#3t5fP+W9VE9JDV@wdU2f*e|^e4 zZZLFiOsR8|p>uOeom&i@TVZGI;;nJz&H?80Hb3HxC&)52w_5#L#&()QPssV}{P-u(SU0+T{r&{z)VL zDI@-A*sb&PXAGTZVQ1qc+CR@3I?uzdonOCT#J`v_kCzOcmtkl9;?4h8jQCem=JA@L z^E&L>{C~rUe-n0VU;37z^ET{O|Gs1BybHTE-rh5G-iMv_k2h~VFycRiU2E5mjQEdX zx7yzA)mxgk7uuS4RBTu(Q0q`SFbr|1IoR z`+aBVe4kS12Sew_P$#;c|77U=9O^{Z!CwrWUsLM*X6XE$Qs)mt=TF$R{{G8|{~LB~ zy!~Uu|7(>0KO_D>*x7iC_HVL;@f-;3-t`Lidp?UAaf`vu%8!nV#SNV$QtB*e=yXY` z)78-FmQts?p|ey=56)E%RW9ak^^YF$=KO??>$~*=bIs-$U=sGya&>0-+MAyM>44rLL>TGA| zY!AEE&pR0LJEqKICqt()rOpsTrwVqhK0}T8VJY(%Zs?3K@)&8vj|%gMjXZ5I#y)U(gp))hg!`oNwX~btDdBlECc9x-2lTxSF(8;FM znQiFQ!LE(7dLup;<`Erda}1riDRmkQoyJfndi-lLbedsj?c$C579)Ny*sbe{t%gn> zc5NMLGveD}*Uo3=8S(Rt_yw@@`5BuR9Y#3|Q|jz(=ja|rBO{~v0^9|pVCzlR$-N5Ib7)0sz{ojVPkyI}XOgSz_{cN=l{z|Q*9YsY(y z`1`_muO06<;vazBYR3l+orhqz=G()D&Lgn1_VDWSs1g4d>{fjqH*}tWec8_Yzmwcg zgErUHXR?J~P=C^he=21jPa8VVz|Pvk8z0Xa@y{9Y&l~YCz|Pt;dYpUF(0R$o<7FfM z6(jytBmOnmSv{ib#p{O78?amFX>S@jZ>7xVZA0fB*xC5-=F7WA{Clu#`~CNg_zz%b z?HU~)9~wFz!LHTgVMU>QtN=S}U+=iNq7lDR$~;y! zbXI{~JN~X}#IFXsR*%(<_%&c><0RU@YZ^Lh8F{R2#IFOpwVthO==3!5SkH)GA9k%j zHZbBh49oZ4L*B@U-#Co-#^okP{H9^NcbwhKh~FG`ZQa_!h~F|S-@9+t%ZT3!c56It zZRqq4^YGfC!iet!I~$MD>*;+Boqk3h{f+nmuxtG>(1;%dJ8RGA@p-VJvkmOpIQoszLqnZtzYH^UhQqG)%LpTWWSB>^ zT}Bx?qeGo&ea09%V?&*2KI06X@hNpC7&_G{b#^v%CZ^PxWavzW9e)b%B}^DvktDkq zaZ_N|=HFB!eplGp{E7DOZidb@*x7jX*5&C&{O(~M(eW|E(Agu*!#mE-G~)M6nMcOZ znHA>YwMUH+UmM1I^~f6WvthUTwa(C~H}c3C@pHmFqWwD8&}oS1#Ge0YG<2Fmo#=RP zHgsBGXXD-LpS_Iu)|7eV4V|`>I_-weJlM74@O&eFLCQQj44s9rYwfzX5x-BEM|8aH zYv}BkQfGfd=K$F8r?9S94(*#H2O4n)!LGH#!AATcuv_#0P($ailsbnSI!D0H_TAC@ zwnrK|N2Sy`+R!-$cB_4kHFSO}Lo z*wDEIc5R$oYQ$d_#(U%BawGnVFy1>3Uunc&1v?*Sv3sn@of{3En<6@~cDdQmxdnFoDIEWbzfWSOyTW*H zT-|NN-($qzYsB9NJ0F*^@o>MP^FT_S2MwKvQtCWx=sW_ueEW_;-x>ca8Y>VAsaw`$qf+Vfo%V_n{I0 z5$x9Z{MgX>B&E)$hR$cOvvK9s=W`?ei!hJqJo(bl`6|?jj?b?Roo`a=d~4`@ms00@ zL+6K3C)z$g8ahA0&ictaKL2dQ{}SdAZQoxFo!^W+emCO(NSVia&EQvt&x0E{0CmlserE zo$e`hmNImDz^)xPmNw#-3FE!@M3yz;mxEpF-{pIrIb1=8#=4Nj_Fap zf3vC)w^~?!bUj_&&{-qYiLQrh8aiu*I?;UAHgwhrb)xyKYv}ZZosAQ3U0lzIUq59Y z8yGqprqtQU(AhYp&L)P=rm(Yi@qQm=Gb4U;*tP5ZTNv?M!fwsKUWU$Au(Nu2{kydh z-#g4BI$kRbojyh$eU12jVII-(-rvv}VB|5-h#wTjd;5UFM*KEmyw@Mw8u8n~ZjFoW z4V@iQ>g;If?37Zc($E=_Qm4w$849~L-iI0S!wvfg*jf8W=fg-tXB6x#Pj4KJHsZ&G zc|_;KSVL!As1vQvctdAGN}Xy$XJ^=1yLj_sq7gp{c5U6AY{c&ZJL}(QyG}85roztZ z;q~vXM*MCm^O$DnOi!t^yP-29rOqCP&diiLdm1{KlsdBvotl(7wT4a>cGlnCxSegp z*QLy(-q6XV)R|-G%uT7&VCXca)M+wwnp5hu7&?2w&iculm#s#89(HzK=be|e8S(9~ zv-|YX=VRv?I`d&?=R?K&J`0Sv4%oH&FErx!Hsbd&;`fE!T3`1wboMv$IKYTMFpT%+ z>p@2R!LVEPIK&40WRUoMh;n47;{3ImL)S6?Qgnz43aQ5q~=DRzII%=$skm;jN!%8S!VsZe71T z$Iv+!cDeqYXT+TkyVVXC7&;e5bYl1KFEVs4j_AbhLtkR(TnalIA6~y)X2f3(yEZkOUiL!Iclaf6|AV@jQy44s={*ZTDqBmUNu zdE92`+zvb2_jvDR-eJVwnKF;N44u1S*V^MABmUl$dE95{+#l*h$J+yj&Vwm+9x`+u zhFxoyM~wJK!#twn{xL)6@sv7G7&=eFuGQx$BmU`>c|2q2JPSM9uScJ&ea_H%KBdkJ zhR%zyTkG6QhR(~OPPD&YF?3!{sq>nl^Lk31Hw>LOQ|i2B=)4U(8-L#M>>VTiUD&nt z@;xK|eb`w)NBidkL+3--wd49nM*PQN9?^B~6GP`y*tPcj%!vOyjQ938Ul{RU!fv(a zSBB2lMjqc7@!zJ*<2ys=`!El0eEwj>{}{%5?fH`t|1<1Xd;VhR{2J!r)#EoK{&(1| z^NBwUoj+l>>hqVO^LMBdoiG0wI{$_`(fR*BL+8JgIthN*RC``z5!khLWKko2G1%Gs z_r}}eM*I>+{E|j|7uc=-?P}=Yvt|j^V?@=2v5OQT|KB8G>%Mn=a8U?o?YtQ5EYIlp z!OsUJnhri2lQ5m=_@VP>O$Wn=>qPTGv#I%XL%pco-1EU+|93aqh4QoN)5FlA@yqh? z)*I?KDo;MAOy9NB;)!eVlt2A-?GWu3+HYz)wBA`dD;e#vve7TA81btb@v9l}tHW;9 zV+})R&6GN889HmjPW|Zm#~UB(81d^G@jZ?B^$#)U}rkf z_8)BMYy-R2{@WVy+riG--&+T^H{y4Ioz){cFLpF^c7mOb2d+P&*B>ekoguKZ`grrJ z%7`BdI~{il<09MGm}$#3HaBHzi{ExFxC}FNhQrRWndT z#-`L6XXuO%b)xMv!O*FOo%Odjes?zFC#K9}lA$vhcG_1J)}d@uwv`sbU5xlCVII+b zo@(gq3cI!*>}JGIgI#OS=|=qSu(NR=t;Y;QXAdKfnMVAcuv>X#44qjib!rTq+LSt3 zLuWSZ?08rFzE7PISD&){oS`!(rOsSKry-?IqoLCTyEa~%jrf+7dF*BAw8GBjzjr=d z*b5c@Y5Re;l9``>M(0gC{4||;DRt%>Itxrp>tMBowE&{ zb3&bHz0Ngs&VyZB-_AGUFEHXSG~zEZ;x9JhFM*xS$7sJ?YUo@R>O|Y~azp2elsZ=$ zI#q0}99J9h*QCtjT0`f$P$$~H*Bd%Fz|QL9?JsUL;%|ao8>crL@wbHKd+m9v z5q}%(Y@9{M$L)sB9idLNJ?}Jh?h19H`P^;j+ylEjp5JT4-6!nse6iG?vr0Sg`-NRz zpML;$tv??$;va(D>W_yFokvpYJZk7X2D?_D$BpQ$w!eGPh<_<8-@Bgja%lJRd&SUyHH`Q4Uo+xghn@9PbpF3# z=)4)~MCboohR)ltYyJI>5&v$=Jl->O-cPCXfuZwZN}Z1kosU!Md}8Q)3j2!qt6h)% z%+UE9b~bLJ{r!cZ^Cj%8zrFGQl@b3n?ArYN#)$tGcB>xW89Lvm)cFB^tiIlS{n04r zrili!{1fU#*Ta7eo&Op3|H5*j z^CwxP{>rAZp1HP*q03Ty?Nfni0=wJt7o)dx*0m%!#uqC zw^Ue8v|oA{Rvgo(wnKQ?AENHH2uBpj1xI4Mah;nND=LK>Z#4QUyTCbgsmv2F< z@NYTzQU5tT?{`p^hrKIwozC#eszHNR0H^iS#Z`5*HMi7f>WVq62s^6>*^Bj93HDW> zTc}5ai*6AwqpS=++E2RjC)Vc{HqXixWs+53XZcsxchuzaPAl7*$*u}}x6b^h4((IX zy8{1zHQ2j!<}rCpMek&F@a~;)m1A}rF=$Z#5?BNFl{@2xWZQ!DlQrSDLZ{A<_SU)e z%?-8grc|j81=Cvav)W^A__2PSSl?XRoOeHZnQLe$3$Bw=Z{1LDQcHcVsjj(rpS7&l zGo{{o@YDKh{ggTzgn32lxnWAZjf}iDhMmT_8;|aKaIe0bfG^hBf5rdWG-bJ)!O!Zi z&EZGm)RkYj-`$JG=@v>JTY}U0D&$?CZEb9B$hygxYoG<87yM|xx_LArlgpMz%vP|| zI$4;HHEp@3=2@AVw!%n7{kIn771x!5Ut>p&8~?PdB)#EB^S_|iC$tD%B z)A7maWSizqsGd~Or&v-SVR!KpT5@geZ7#O(uP^MZKCqWk=m$HS*OPj?$=e@X_U8b> zU3tZF1`6)-Eb>9%*8Cp~Kk6SBAD#c(2tQYTv>&&HAFH?5kK4g+ts~pRPn)MZq}18b z(Ag=}8If_%amaPP5`JtvjGSCm)u&?6pkjLuf!!OQx!Rn2!l~6A49erP3Vv+96^?u4 zS0124;YaQ0+MA9~MXh15)A)7$M)sn{aM)QpN9#2Leysm@%`~;ui{&*L2|u>}46W?l zzt1S}9>rEj5|_uY1~-QW^sne!K%>JvqQ}uO@YDJm4;3eLymRg0_F3+Tk}DNF4)N4p zg>hW8qeaKVF7uxNuH|11yETt?h97Ik=scPTKeiv3KB+L;3J1tccE+SohuPiQF{4!9 z$?#+SJ2cx69^iL@ALZ}bW%{tDw&u3_Y;zNq*Mj7fP%k=OriS@d=da_=sv4n___X^KB*HMG=NjPx_rj8Wow(|hNTgHt99m6 zI-XAFT&2ujqNfUZGxeJ!^#@^^ex>dH7lF-X{DC zdc_O$ZZWTAec28_+CLS>#gKj#$vkkjPDJ;K^WjJRz=Wq{&pFGa@?=!e}Vd@Q@&(Zb+}nKD{b>7dPf7 z3%iT&-M39l(77&hUR=*tJ{-joc&bTS^1rISN>_j?#gHLH#_5W*jfKF zd*|`>4EWJ;!0AlL7v^QAt+_SlMwh#0RO?Pm&kXgLU+3}lEcjXT>}>dH0s+DSo69CyauQBLF1WipAMWn%?(XjH?()^lzBOB2Q}xW| z2lw#S+tt-o)zv*cvS&jsuKUN4b8Cjg&ZB?lK(6QcxmEUmUQYk#L(cx!{=ES5JpW#( zc%;Y7`-{Ny^8RAT^XBy>sz1s*bA7oKyu3JF2A=lw<=OV;JiG!ty-&F^+up1zSAi$| zoUAM5-FzkQt_Dx|NAACqITh#4HQ58AZLG29#rJ%D5L1+D($)jJP`+Te|;->oG)Zo z?Dpt3g_AuAetVVu-%(}%cY?>`j_0ivx4Xa-c_4Xd-0lX?s{{9B?K11^y;-|t-lh3@ zU)CGbVpHGL^xetKH`?oj`0vr{(VTuC ztFqt6m4428KB;i#Kc#TyKMh>WUvoeH40vLmnCDv0X7!o%?>X>9{Twuy&flL0 z&g%u)AMB@J$l5WAPORg-qP!gvy$Bx1mGs2x6Q2vFdHE7}V!lXTnwKww$N3i9W!?XI z1w76Z_VcR>=eWG4aOS@bT*Srn;~U_4`;9l1e(v`zg>%1eSK047IsLv1Is29RHLoMy z1CQfPc8sa%)2sKyQArt%-mlW04|44J5OU5pvM0IU^AT_zuaALqz7yZv-+Tg|us_(> ze+s#XqdC7m1CQ%5`C(LXS}8qK{5-42+?RX-9_K0PG0!Kz1W%05y#MeOcziuU`hxop zUqjC4_~fVLdZ6EsUP%DIfn59dTj0U`H10or2Oir={hRx~@4@rx{12)>(qrx$egu#G zN8>T)`A=DW!wPiOp9ZX)zR}O%iTIoI_!sbazQp!f_ho-oJhIQ6SHFR${r)@fJiq?| zUY_6o1dsEB?BV++Nsavra*hj)i{(je{kuwg{;ATQf5FT1_kZAdbu;Q#4j|i2;|lI) z&ILK=J&h~4pVD7oWoqnnL%ZT4$9e(|Jb=Z)BFs>ND4)<-zmTqZJ_Mb&tjs?9*0+ zoa;htPeE+aR)RdJL&pAWW$=Wb&HdRb;HkXmy{f{=jv*6!_U*eG@VvZS9XyU-JPzx5 zp6=j@yfOW{MpmDBzi-W~J~QrXfyZ@<>ZAoa8JTWgu7dxhRH6>3WRTTCEkLw88CC(9w4gIrv zggia2hz5Yi>n-UCo(~!bxu`e6^Ff=beyDv|hx?Ta=jPyXT_ZmQ`}r*(XFozu=DKoA z@bc=`R^YMSq;GU9B|d-0XKTnsT`%uLW;PYt>GLS;>20!lc%PN*!)hTHdC2la#h`5a z%6$QHO&#PMNAgQWPGK4hdEWdS0-o@Txz8P{c;uJxdc_T_i~2Qo+<@I`MgkXkQ$M`6M@_Hfu1FM(f?VW{JeMo-x$9`~gnuM2oe*Qd%k%eG z@N^v>S7rO{vi6wq8V{cEOMHD@Q}6UYq00WZ2hWSg4oXgWQhxs|o*x}iG*QVZKOmpp z)lrC|9jmlsC-6jE%>CZZ;E6cPb53M!6iv$NlRTc*(JtU|okhJ#@7(kK#Rl+1{snbw zSIBw(k{(fKiw(P}e#lQko~B*2yW)`^^W2~S9_ME~FXtwK>?tq-v8;YZOKGX@G@Rzxto&_Gy+gM+6orLEw z_kx`F2jutQI%+oLB7Wn5BsYA zXk5X$;(n0l#eIM9M4p@L(*fYg`|jh%)B0TA_C*I~?Wr%)?Sf)UNAgVmK~>swFnC@b z9s)VrOa3vRt2-3Dyt;B2cwSvU9CD6FTnDV@5sv^*b>%dW#KI8iSXzEMZYne*)o@VJhWU6t!iTKLa|ob!$B zsmRl)N6}e1dj40Xp0mLd<1^!S4tQd|m~lH-@jSnu2Oh^)`~7^#^YZZm@HqcTPw*V# zg;nag2t1wF7XugmG2?#;cq0DhKKN4b*xsbhiRbb!gIxI8oUfNFp6BN)!1MfkCFFU2 zzDo5+em2+btHI0j*EQgI>%p~IJ?6gTI`DWtkzK*QuT&QZUT?}N_K@j%;lTGV?U6-;5zLV$i?{TJKBmf<5x`M3$U$bI-ZxU7o6q|{10L^( z$-cq$^pI~)?1!I)oZ}Jesq7nz4bMR?=82G3&I_IgFYuR9mtM%~GxPFA@bdEVCGfnw zd>L|%FO4r5`6~)1za;pp!1JCbehoa~7xQ`I*TLibp#IJK_-}wG;xuybfF1+-BTjEZ zo)_=8z!U3!@_xtLz=c1}_2(V%#Py$ffAL-Lc>FXj^ZM^S)i3$kJRf==yu9&!0G=M- zhpHd4$K2O^1RlqO>@oK>AA=|IS)SXa^Z%2qKFLex|EJ*bx<~d^_QAAI{!H};KglDs zBojUd&zrAbK+bU?J?4D<5%*DdN_QrmW?{~}voYxf^N0R8>0C@9!Zphg# zYFDWP+$U+82fVy|nHN0HbJ7>=r{;q^&#&`?m*>|76wk}M1;LYkm3g-i=&PJ(7x;W-aqzr4wuEI@<(w;BHpU1l9yA*;`{YsDP9 zR)U=Kjr_#-y%V3W3^~tBnkOtze7y?fdGlmd@Pxn3`mwu@{?YhA8{Jb7`Y&ZGE^z-`Q1$Ce@ zZ`1j<0eEV@rT15Po!-#WXVjIAvi6yEWn=KfyffFu9*RffHQ$fj1U$7K_1+XX{>0A( zChJj80D1nY0WZ%#y}%RWG3S48@I?H~`QN8XeSNFc*DtHjtS9}!^XlAyD)kHmPx#F| zC*KUbyu9BWJmEJp@3#Oih^vvOTW0l{dAb#NyslB52<}gA4LR4Lcs>@ybDrBko|hN3 zS$oX97zAFPzv{C3On(gqkL}m%!w|^5Iyw|`Zyg?%wZmM8hl7{rrxB_@@^`SW+ZJ*@ zFQDU7E3cc=y1iXi zpX8`xk3MV@*oigpIi%i~E|d(1rEMfFGanEqNEYdD|mVNwHtVO z`L#QEVw^+i3HfxrFF?-qj{McD?|>=o^ohvi-(<-1@~II#z0a8f+^aW5$T^u(J^GAMPqZ4w@?>K)_ zIR$SP*{{s z@%YKEoa+en8|>Rpfn4-&*7sAv zWB-tz;JJj;Am==a?XcdPKOH>I^VlBiJ*zXS)ORL$Jbuy_+y_2O^+$G@^Xh-#2|oqT zDW0wR(SANB+dlB~xsd1i=REN8{BwSeJs0HIb0Oqn{+au?i?a5Z`?rh1<2pzF3F`>z z%_ZQmAL4jf_2yFWc)pOnq%L0u+^fr%L(XxecD%1jEVu%4k;g1gD&3WkbDf~}V*gug zxC(L+A0bc6QFJwUVqTf+!!_V>-6DSk&sAJorJn0@^jr_Q=a(BG_xy4rbF;^?+)<1_}r=bqkJ*%@86|( zWS8WnS7>*G$8jKimFqaV&btS4jzc_u((fjvTB7J)#UnlPx*4-EitfwWC3&gF`@s|E z4axo60p;Z{dH`~cC)pK0XENYH;CXR-2t3cv4?~VW5sfG5`4NRvzX|>*aLz;G2iG@z zKj$&<#QG83mwvoTJx_oq#$Q*reXp7)t8D*NjvY@|sppv-J zR&r`TyfuD_yf7{K<%e&w{ipJ{Mtlo7$Aj9N`}ps`F=0D)&oj?2w9_NV{ zum8aF;uXzP&VRlhAw4)JDnB4M7vxZr#;F@{(Z9Lg%?%#=kKz=pck@8b{-^#c`$3vF z^Fq$~fcY@FPDpD$4PpE?@%lOIs2X3%es-)mnF0I zNM2fBmIBYKze{KB3F_}MkmvblS@1+%NY+oCFw23*aisByd0T8)KC4H_EAx5<@Oa-$ zdIk-y>CtyZ;5yDL0r&i{GUOsIfge_ZT*O80N7J~h3ZBRl$xGw18hFC5<~&{w+izV~%S* z@Pxn3dAWX8pXu)nvi6zZU)m5nUN7Q2wthEZBk(v+$#2PhL zY2bkRO8J!t|i^2;1wv*N{Z zw0;k$1w1bwS|QKNhncEBile#C?g^f^UbI!IryV?z59a*o0FUjD?Go?LrSa>`>XW=Q zezU5yZ!hq?an7#NuC6NWnq%oR_NjY=C-UB0|M#)<8F|02Z6D8%)NlKNC)UC8b3nlP zdW!Nid=98eI}WVUj)N?HhMx`wFV9bhfXC|qh4})C$|z#m6I z&UVH9SO;Cb`mg140%XOoCaFy24|AEK(N&3wCa(0#a&Z$!0x!~o+ z?>z9l_?-{A$fxjn3nRS%JYL6RzggF17iRUz=Mst?xIcRlczV6R7&zxY`91iZvrC+I zmjd^$yDo!V%!l9{?{X!lek11LS#i@<#A< zoxBM+k3SyQ&{8vflfINVpoHI%y%{`_mjN$ckmGOU-U1%mOZv+3FO|>5ZiU>-kJ}&@ zaWnV-w}U70B)GqFhmyzRlHW(U6LR)H`Bli%FhzG|?J?{3-Qckwy*#=HJW)4;=T+~` z+Ev>&rP$KmSm-FGzY;*t|9~g*(X5;I8~PfJ`-Klwsqeum^*schh@@fD5&t~*jM=yMq1F^N{m;L3RcEr5Cd8Yuo7i z=UhczH0-Fz)9rlp5_lqS%bXA0L7z{BG8dkH8c4gU=6> z7=8@7$S0O3$@vN7dF$+_;OTYtGvImS`5ZiNANfUAkGVd637&|zd7tGg@Wl0Ea^L7{ z;5xqF0Qc(Gx7mKpb@e;&^8EQdc*39KM$#i1KLF43=a1ld{`?7YF~8-0E#24s44%j{ z$xAm3zkruFu3y0u<4Ueue*>O3uHV7)#`Oo}oX<25lXJ+%>4oIl;7`bT+*A)L@=7_5 z{sJ$r9{dfS$T#!8@;~6Q-En;>i1&T|g`D$?>`LXaS^p_HwHNtC;hMKx*M%KIo`xx! z3q0RTlm}*AUlcr!H`x`eyL=tB z7Q(CNUZuV@z!UXI)QMulnpr(UUa2E%fyd(~KPT(?+Q9XC zz7BBCN8+3N?RCN9b%6XbxY*v=G_|v>Ri2crm(^$P+tvq9%wI@VpK)Z4>Z>|3V&S+NR(Id1}nto~qv@ zPb<81-qwJ}eu?wJI@j+7o~UoZxqfdYCq2ABPDa=Va^7#m{_l!E4o%OAQ+7suArHo7 z%)fr%vAxN-VxD@wxxea<>uIoXw!IFV|z z`b@h9<=9mRIj_U9-{o_2gO!}d708EV?J(=rQ1C=P2Im9AR6k@#u-*@cT*Rp?heJj{ z9^|ueF0d_loM%ZsS9t8+Xe4-faUTVq7x&SS^SERGrsr5R563{xcE|or<*7AMG*B6)fc)b3QzGS05Ug2a;gIam;KlPob!do6MWZySI9YEs9o?~|J@+x`bX`}^Pt_q6XP(SgDQY0;v&XdY?z$Y zBjgo-G=j(ePsY_Ty_FUU`Z3)p>HV)MibvzCn_l6iaVmnx`4sEJ`jy0dD&)dXEKhVy zQ*vq_tVh!!=X{R+EWblhf;`AOV}0BMJmF_^e>wv^-oKDN=JU}_;OXm!X5e1FwLq@( ztrfWRqkNBKCgdFdI3B5-!n-Hrq7It%y$w7OkD$J{XZ4utRR?&SM{!)N_ewg!%Ztw} z@bcobm*U0wBAy>gzgs&SJdroS`E(cL!e8b%=YYrW#n3pD`oZ4=-#crMxli0j^%wig zx_;eP@#67Wzo)k!csh^vud@9C;EDK|=L83WmsiIQ%IYiMM+&ZTqUhi%^&J8p&m;DG zKYSl?s;K}(d z>*O(zi+LH;$zvhU%h%(;6LB@?Y>`$^QneUBVjZN`Fe2$WnJ;8m|}Dyb`=T ze_o|{UcOxo9@|a+3D(VPAkWLUYqNTS?^Im}d0suc9=yDIb^~~PT@sIPP<@YnHv-rB zaue{tzefGLIop3wKe+zgV(ZJC8{cZ{V_v$izRl8S)SKJE%ZvXV;0b@5_s{PHPwaQ< zdkosHSC78^lRAG_)-HM7nqJ@D4W5XbAs6Em@=6}PQKemPR%zE;S-XP$&D)T3-ckI5 z=d|9b(w=v#wC6qWL>$d|@;-RtoZ0++vJbNQ%ya7x!Q=SQID_XuKT>jDdI-vs{*IA8Y=KREyS9CEQ96iIE8 z&rgu&)xV#?<2WSt(02&=`r;SJ*>B{ZVPksskA4Nt`NDbe8*ov_b@y$9YTr2k#62>DciXa4$dqhMdnK$o|^+8@c}g=k*Q!_4!xf#ILWZ893lS;CXS6 z(2*FgS=Z+RkMo}TkI!T1K3-cV{rGIUvFZk%xE>nPIj1$M7 zhFrwST<4Ziyx1Ss`?1R^9@%BCbIXAz{9-=GxxC_e<6HqeZ=5S;^_b@mD}g8GTX6oc zGUS{WWRH2@Xch3dzL390)c5GqXI0>N{$33{u4~jjxDT*;R*$(3bq7z(3$q@r0iKv= z=5^kh;EA}I=R<3O=go_?vwF-rvJQB8{#qA2Jx|ulv19!z?bx77J2q52Z=P(V`t|a9 zWAMDZ?g6>y=S@^UWRL0RO~Dg>Hs@{6tUmKQMm6AZ-o{KWzM^SRqEReJa3)cyh=S=v=BF<)f27~AMb4ZnXhUVxQ208wu_rZn((DiBr@Vq*_EqHl#cqDkj zALhIs1)hjYaNRk&O1s8XY1i1SUFLio2cC#`unul#*=3xMj0aE5$6&uish3>u)@SW9 z^JfBh!vE%TncG*XZwK(ae4LooWBO}H@Wj3&`Td-ofOC9lUIxEEwKL>mUI)KFH3@Pt zuPe_tkmq($`r~;ipMPk8T;!qY*ImIAaWd=XZs4*1<2q$s&+iVN7*}vTUw}MszD-vB z(fG`LPot&J$j2$*iE#$@b3PWq6Mi%2?^N(OzGPo8f2Tq2`m1k}{?T;sbX_Vb{p4@4 z&K4W?Q2MEVA+KB)&Hyj)x8a{A@bdiA3|`)Tyd`U&`5ad(czOPw37+TgJ+peud~eIz zmE?Q*_DXu$8nsucuLC@NE4}Sn!0u&HOqJyuA8$eAYg* zzMYV@&z!d>g2#1&;u!3^PO4JR$%+@(6YJdQ6vd0@k@Z~Nso;5eaT??t_hdd+@;!b2 z@O1DvkIAlJUvNg&9y2e_RQ-`2GcV4{>NCgpzpOrUJvh5cedmDZ`RiQB^YZIF@c4W( z&WACBYohb3wBrKs^78#c@YvpReX0Cz-bIk}yeB)TzLe$hYH=~-Tz{y2<@%DgIG1GG zSLD?GQpov!7PU{_*XuW=SF%C64063cx*Ry~yQy9Be%cid|4QKO58{XC%Q%O=3OtSv zjW^_BiM$#-_6z9~^{&`(4dgs8NRNfyEE<<;lwz+?MKpSe%JUh%wf-T+?SIBx_m z?>^v7;E8-q?gQQoJa2rrfG7NA&cj>56LC+z({~&2%=58*YkJ3tbUWmH?nQn{>JNV( z_YS3({G0rK)t$ie?7s`Vy!hN*rM`Q>%k#&*;N|Uy?#t>k_e1wrY2O3jiSe52>4U0Y z^1FE-;34q1j*$O@`v4C^&g%#13HCvcWZMV(phqDO{8U+|()(JEfhWdg?#mtrPvnKU zUOfSxh@*La`y_Zgei|R2vn94Y1-aNCuso?qPeaajQ+xCL_Zh{D{VdLj(+hxS!4var z^tK~wdOinS*W>4b3xAmF?F--uf0*<9Mesy@4W7GrDXT}yslX=7NAz;mE_46&3V6c5 z!T#&jtUaQh7aLy7+9TwZdjC3jULL;zIp+bzC&=SBAx4`3kAU$Rtzg?xicdFF) zE_fVYZ@#|=9_I_$XTJaOzT%NSGp{~S{gOWOeDK36^?d}M@SnNfehi+-QxW%K!zWq0 zguId$pMuBhF^$u_&-qzapLyN!Ie47UvESr-y{1Ha*mJZ_piX?{UhlK zp1b)Pa?d~CK+gF>?M?rDo3+QRx8G&;nb!y3gBQ#r;~e3KtUhzy{IN=XKUJykXYf3~ z{gTyV`t4Wn^787ptUfcZeg`ivFa7|}%ZooD7yg&ekEHAIU*L&(D0%66^>>wa{gY$Y zzp6jVd-J;v|AEK*;y7>1FNBuFw<72RY}gQsamweu)91tI0#A%n^3p=lEvv7bkCT(D zvea*LgD2*dnYZ(RC*o;8h^d3m-_ zm3kHiPx#ARKNbN`#8a-Tss9%RPsCI5(!5;^Jl;={zmkp1;tD7KB={1*MZ8SEED4_H zm!%-*`cM4^`{|`2_x2&nKrZT&I7coOmW5pSQ^?cdN6RT5*%A1Ozq_WyXDV z@VvNphn(Y*@ps?yzIhGsI4?Q>)&wr%F8o+*SWD^m{Jb`J!q4VrSpe6wk{2ZL*c)!+A*Ks>n$J$Cu^QKFCu(ZxntJ@=876^CV9X+n1+@<0$-V<~#dU z=ri}PY!CNO}K4gk0EV=D|wfv3;>!*8P%|!Q*(7UBUIx zDv-1Nu|3xB4Xz3v&y!fspguLxYQWiE_$U3$60eu5gU9oL+6U`pcgV$f%zRu!^+$Tl zd|VSejx*V1UcauD)o13x+Te*ikn3W)ey#(a$OFks^I%=@ygXPhYnPb^>w_o!X6C^L z;CXqlA>?`f+6X)m$Kbu;jUms=haOoyK|X9!rJhZ5^z?*0&p$QbiMW~PE4{!Id0?({ zy}@HYP@bCWT%RiK>zn17^P^w3Uvqx+2am@~^CP^kgpB6<5u6t^j*y3p9teHR^XA)T zS^LcSwmEo#pN+b^g&IfV=L#>KZ(D-L>jv3ZS)WO^734f0Nl!&i>(kaod-;8kZ6N3M zGHx%w6Ics5?<1)HS5qAw`Z zIEO(V_}w^%8V+7wevbf;>qVRwh4?4qN@c;ekaJvUJi+<$NYxLuH?PM=seVXLP)|lf zp68!2sz1_W&Y!X12|vm6k@Os89C$p>NT1}T8@uhm@5Eh(-g>g-%WbT=lV073hnee8C-yi;N``CDtN*_ zX56NM=hckAJYGL34hb?#;nY4s_5z;Q|7`H`;?`BAzB%A|`|rK0)U!{Ho_!(bd?kM* z&!g-IT-W=4cphc{D*HbGJZ~HaLeBG!`mbE)lk6bKMSfJ|l)MK+o)@1(z!UK?pZ7R4 ztIy2a!@%P_;(R$AcwXH)0z9rq)IPW_Iui1{`F#|4VqE6@KDtV~jsZ{1BeR|!t9Wre zv)-pT4m>f=V4rn7#%v&h~4@`4sSkKg|8zso;q`u3Qh0 z>@>(l9#`a)$EQQiej@vWeeW4cKaC?;pU#9l&yQz;C&pve$^T{bndhlzgD0+Ig8N|S zRH^6O96je{^_c7D`QUkZazR#)8TSjp6Miz|ei3-VJTsR6ZlQ|%lSxp%zgUJ;IUt6 zeC9s=7R8JGW$j0A1y79A-0$569>sV*ojOndSQ~1_N!ni~6NZ-hg z;uQL>b$Lg}2dH;~$913dCCFXC^X$1>_2b!d4|qXd81wwztUhy|-v^#pFDm;QlHCuv znBNsStrrhK&VG#JXRW^vg6HM?Ly&X*j`hgrtRBv`51zAn1ai)|xV@D}kAjz%M~{IQ z__=aE$6=2i&+3cE&-Yo<4gV8W+V>=Q-n#J=B7_Tqf5*zj)F z4k4!k&`>74r}`m1!M^c*$hpqM<0-`FshA-jK+fZh{c6>b4^=;;Cs;Q>QhG>k+WWEM zdHsEo)8D6%=hcbNz!Ujx)``!-6Z6H~7k&XA`-{eD?hC)P?c>!etz%!=_AxK5V_#?O zGwbX(S$*bp?zdIy`wl#>E`FcYW7dTqz~lKB=Lh}3PHV^XVrxsWoQ`oy|CrTh#^ERM zc>a*S;N0kE$VHt=o`dNN{1^Pyb^BM~A`i^*{05#^=YEHr^N#X7ybp#9_yauQmym}H z_!B%)Z-ROL7v$bN|6BDF*NI|BVP;!vM=?z{;`{@i@N2T)zI0yjcwD3}_#K(~l$`Ps^66b21$vwo za<<#EX94i?>{$>z;V&~D3xUUWlU>1c9ScJq)Kg=ByGYh9bAP)ic$`NxPO%;o8y15+ z&ku`($9Ye72j^re`Jw<$E}N2$6}$lG>sv!J%zK~>jUSw5`S=O zQ|oTMdY28^z-hN3a9+Qtoveqc!#8r;Zwy?FH#j$71wEYhn`GMu`xtJ&DR{gN)3^n% zJ?fd&GpMaFrK@dvX^!-J4S2%ug9=S8#Zvs7F8RGzR*yNJ-r#Y3I1YUj&T;FjaOU?@ zIP?1}ocRNQ=lOe}(|$9BbAOvFocr4XIQxtEc&@S>nJt}mTLI^~MeRn%Qy{6E98^lp zt)2GUD4gxARXE!@2)M9w?95U}X9s3n9pnpRUQ)ZVypw`X{{}0)+}{v|bALk>&ir8t zXZ~>D!XI_5&4u#Q;ldvyoc7xS7vl@!Fw$v zz0cajKRlZjxUr5sb#=XZ4j7p9u$|Lxyu#Vv^$KTyPXO-K@$H>gafjet|t)(hmnu*e`hP(Gf~N$L~mmbNr41 zp6BCF@6W?vr{wijD=3*H7wyaItZEQ)~H+w)W#7=Q>Av%I8!_p5r0s zb)MRnzd~&ni5cXBR5{-0wvS=YB8F_FH+*M)Z3Lcw*kyj~>*w z_ocw|=Fw$N|Ca;j`9b!Mo8H>iOgpF~HdjC{#>?_#&Ak%xy!c)P9$(kf_y-qfwbH{M z+dl<$W~H5#Lq%x!?B`&i%fh?YF+8tw=xl z6rPxU03NS9)L!s9+dqVy??+I-bu~3L(ML|dA1j>g{6yhw=cf+-nZjAm=L%;%UnrdU zUn-pWUn!jVUn`vX-zc2<-zuE>-vJkO(A;l*51xp7u;2PY>F0ibR5bDt#BUaKMH65zY1sme+p-Q)UCWv(&Ly5IPXi6anSoq<%bk11-6^hes16* zU(9uL9`HC`WUt`0NAoKEZ1;Q$=W))T?Kj!?l=l^t^O6Oe_6q{%`a%5#_qP^Oa_Tp@ zzqN3c{VxI@`!^nUfqp9n>syHro)!g<$*JF<4zCNjSBKYwoa0aJgY%R1A?N)(*&m#rYydgO zi^sj8!g<^qDV+HmE1dZ~fQ!5_?^kW&wBHoCm`9a!@XB#b)Dt}R1NC3wwMS76zvuc5kh49_Ka+XMQbkUJr;LzptP# zhoeE@@p&$_7teK6n$&?O@@sUFj@Fv!{!j^fp?KvV3?AnX=>xB$*g`Li4$0~hVsydf+0z#r~;M zNG5>C^N8#hy!L2&$i==F@^I(0gJZ`;g|pvxR5<&6CxtVAXN5C=lERt4i^7@Tpm65z zs&MA-20YJ?yF2X*3g`YNE1dgl%=TwKk23{4k#~~E+r+4-`r-bkDxCYD23*vKTI;^t zbf!$Mz`3py-@MN`3p{aNpWNr%OX=nQW-FZg>jEzFebVRx?c&Rq!g1A0-mIA8wBI}1 z9_K90U6e=Z)_EWBWZfyB+r+%~Xy2@!;JpjJ(%jFnWB+V>IX_Z64ginWA@W1;T-$+= zi@F``qYiTVKNz@}2j=y|Ax`^4fwNr{w_u-p802Do4EDK)XWN&*TZ54w;q-eX@Vs^J zDDZfE3TMBarEvD!|A6P&d$!a5 z9EEd#=PI20I}f-VA3fZZ*$iSI!rL$K#^@LmuwOUj&{w zH>U46_KYre`o9EtUS417w7(3v9KUrva5;FKhh)EbJ#dBUhy8!0!rA{<0cXDu-#q8P z8a%F>)IOdk^h8}bRM#l|-0!st=YFpP&h>`)$-L9gUtABKsEf68S_^HBh}R8DKlgj1 z!nxm@fQxt~{pxd;o1ONz02lr;_b0bH?Qa9l?`e^}&69ie>D33<6}LO>?#T8#c6Nau zH%*tn=uYr>d^GND3oRYf(>a9`$Ga4d>@e%&-Htu?D4hL%ufo~y_W>8{(1@0fwnFlp z6(3@d5AJu`KcH~#??Huge-9~~`420c`Hv`^`Hw1``Huk?d0?KaJPsaT?@{}4^nM0C zTvjZ^A%7yP$IPcE9Xp-^&g&Q19qbF9cG^7yob!a*nftnD!SnWY&nf-vx91hketSXT z%zshg%zsJY%zs(o%zs7U%zstk%zq8IsK1q$W-8MvdfjRN25{j=b6@)=cpN9{e?qaX ztu&3Ma9qmXQu^8Mw-wHIzXM$4pP4uBg2&^d_U3aZ?`8Fk?rP-6V=In$A3U)R2wrFN z2U$JleS;6d)BBx|6wZG5SmEr4Pk^&M#OLRW5~DwbTs#-R^5mNOGo_dN`&{AN-xt7n zJ`+EAzN8*J43`=7Gy&F8Uy29MW&>RVJ8+dv1=6CRPe*U3w z_UE4pXMg^saOVH5aOVF5yxQlI|8?~I2Rv__5eBHoIhVrO?rsWayXOWjM4aYv z+RqD|>m&6S+)tm+X*WM`k+0^tzyjcj>$5?v?Zv`^N-vLdA%*ie7Y5FGOMLTw&?4aR zc&L5(yuCCz*?}#pb0C4tMhSl1UzftNRbmIjaOQ!;+> z+{H4E9m@jG^V@RZiFzIX4ozuRX;xu2?U$B^oc$X6O`boj;Pk&DaIbE!qYQ{bMxJ)L$nz^h#^dO3P}E1d1^qj0vjFL04>=JjYl z@Hnriy?H&_A3Tva=01FYW6!{>J!1Y<=ILhOv7gBv!Ru_^9P+&P9ky`n*izx_$E_63 ze%u;3`-k}E^}{yciF^yLA8H{N{;Rj<-5|$~x+>cbcG?dCF7mRygw~DV+JcD4h8Xz}a8K zH?Na+b=vO+T;$iJiN)fKc7B32xhoe%yMxDmqyForw{^9rA2Gs}QbF~@_D@zg+ux}4 z5?|E8N`g-TkK;}41+TNYnAKzE*Hp)jX$oh%rz@Q8E@k^O^JovJ{S4spenDgWI(2(j zOG`2SAb)voH-X3dMe2WKXU80RRHppKQFGRgTI;@gi(^Nt!g<^?70%<{Q{l{SQ#kY6 zfpgr5AI#GZ$VJ^6-ql>>%0r0~hrS`pWm^ z_)+asoc5;zXTMT^=JP10fhW#SlIKxQS9;mrGZfDDo~dx=pQUi-{}1?lN!5wsIMnu; z97Sh4{Bsn}`p;E3>pxH7%s*e@%)bD*x1YNZa;}@yF4)gqr1Wxs7b~3my97Azmx*tl zH(d&zI5!y;zctk{y{#0Vn_Q;!bHA4>ocp~3xEN<}&T^&G?y79NV844c2S z% z;Gzzi=dpJ??eEF9H_xH&1y774IET6qa?cO3yT;R6p$h=M~QVzW`j!ck_E*FM`K; zMeRoy+gtH@z0T&Blz#5_WrcIUuPB`PuPU7RuPL1QuPdDSZvYqP$jS3eZ#w+96wdnJ zRygZ_2YBB8?OpJApF!=-=a=5g>Z@#)(=3Rh_Z@paP&nKFp~BhzkARE36Z^4BzJCm! z$aleOk3NB%^OE{a=C6L9=~Ks!&w$JPYcF=jKLC-OI`PmySN+g9%I^s=5BsDqz!P=c zye|LJvFEF7d-J)lubuYa0MA?ZzIEDv2RzT8--9RjrL8mi4*UVQ7{6)%kKl->RzW@;P!_4Pjo%X*eob&m2g>ydt0i5eQ@q_)>pOAa|ufHJY z`bO=C)Av);kIns^Z9lA-?lS3n+K}TB`>Y} zbAc!Hnd@LT@YqkJFW5iK4Y?l2JPPM=%nMw^xpEF%8AUXo(|&&7!tcR(%>qul1%Zn^ zH}`7`Iqeq)&UKmMZC?K^0-ng5GLS+}k4fG+3QvpjIlYqH<`e$xuz3BRShIQdsp z`q>XFDV+VVGH?+uv7S}dy;Yp{s{&_xsK4NSztx;}t7rR_^Eiz_cktLRiT`KPBF8sz zvCgfLwIir^YeFvaHn<*N3vw}kk~%QCko=BjdZTA;#Up#@xdb|_=U?DK1zJb(;&@u$ zy;&DL&U22-dJ5+_uCH+BZvb4xAsGLLkbC3b2y&4J=6UVLPX9fCbDYTD%I{L7-ixA5 zz?182aT-1|L9yI4Ylm64dpdU1D4hM)OX2Ld-oQoN&G%;eIPLoa7k)G6Pe1UyePe&f zMcp4w4+qcY+du=H{s$_Y$Ge%rdAyqg7vmjQC?=nwsJtXWao7SpwujmaUT6E3NXzgpa0gv-2?l<6JzSpXLxc@;4=l<(}=f!C-cwU@_KrZ}e?k9&jb_}bs z{cxxK2;g$vvhMG1>$D#UJkJlKR6pd$F|G8SJ$jqGWg2}zo;O;f!DD|>9QgM&l372- zv12Uoyz7E-PW$bE=jGFQ@bdDh9z5X}v+hg)kLxV?CD<=+54p$>F>lgkE!qJ*Z+=az zQqPWxNA}dV6g%S=J89{ve7Slj@YrsO)0ozF`kEF@+8J`a4oy-x&$C?=&hxB6;mqGv z;mqF+ILC+h=DGInPWwWY?I%0!8-a5i;{JJS5hw5zr(F@ah_kt0mIoNaHecP-#?U7-F)7D|+G7vW{8L zqs{~`Z~wig>MzM7@jPl9)3&1{3`+XJ8{q3i4?r(qKvMyWKK?i`x^N!jF z=cflk&izmU4_v(OIAjoguf0F^b0;|MP6RIVDcBF<+TtXq{mBYvJ5NzK+j*+O znSYwXnSVNPjyv&#`=e(#?al-)^4q*VJj-eSKZUcMXDgiTJV)WoKUd+*KM%MVSFm3= z-)VONaGsCUPp}`n5OQ&!6!LN&UIe-Di~0QM#ZLd1D4fT6sls`jmjM^^(mV&c96Wno zR+?M^9?v)G-+Z6)O7PfEWRKvrM^{14^Nz=HwZeHE*JS%O>(sU2aa^f=uz$S{a#2^X zzLytnevagN$Br8m&UW9ZaJKsyU2?@^_n+6Uhqd<=3?Z-Vc?J`OqON!;E#r+WfC9p@*3=f(Lc z@Pr?NI6s}Wqqc2Iv8BDSKp$qSWa2YfJ(3qa3%OV?&F58~1CR5b{8~pn(HAB=$~yzB z%g=)+;!O8>=r`->5n1_Zxfj4=Ka#$Xhj_gRp757>{qYib+TSk&XS*q0mETPe=Zvp_ zC(aowJQ~}pkmuF?*TBoG`>%t?_L5zR2j5UQ&!0Dei*eM)ze*clhgG6Y?}Iz--&Q#H z_m0B3zjqbR{Pz^j{P%%#Jc(Z$$6UQx7ypaX?pNT#UUT2~o74XHYucIVCR@5FR_MfUB_V-^3XMg{#aOVG`aOVH3aOVG~aOOwzCetnV zcMInNkLwV(?*?4NrO?^Y+OPj^eI~}5=XTo7qj0u!UWIc%^C_J9^DCVB3ji1MxSmR2 zYa{)JEWd*h+qa<8ej$Z(e+w&|`&&fe%wJUD%wG(+$V+p7u(;EHiER7$J?7x-B_7|B z;PF0)`WL(?S}Lo@v}0+o4@C+e5v@v(ojoMDgkJ8{c9_N<_Aj>C!y z=QykcT-a~!8&-DOucC17Z&ihJf2#rKco09>m#z-Ew=eAuxjc8H^UXFL`!$^Y*Hk#$ zyOzS)-nA9Z{B;!0{B;%1{Ph&h{Ph*i{0$V&{0$Y({EZaO{EdN&_?qvJ^l;j5l5H=p zrz@3YQ>T4T;Cb`B#%bS6;XK~n3g_|m0nYP`__SXxUt^2yOVk%UuG`c;<;8WQALPPs z=6QU7$BqHO<+!bRJkV*s8F1bo(>ToMhBgOJTt6r8jcfs2Twj>y4O@aI_VdB-e{Kai zuY2tOtrgDx-v+pt-@&FPoUi}LK0Fszj`k3z-B92nPwEOyQ|NHJ zr6}`cnA3i^!r3n)6wZFx7P#k^kxsi&z(pRK=TD=Re(Eb=UC-C0J}Nuc2_v}Q&2efGa0z&*G9-a zzfMtlxxb>qxxcBv#s1a24xQ$-pRRE3ucUD9Zx4kte}=-D-=uKnH!Ga^EedCTtHPN- z6S!PItn;%yo%U_OMIM)b?pOV8Y`fFG1Gra@JC&U54t~F97UcT9!o8gSW&;=Yn){S4 z@VIVMzmk{kqvwFf>pS^7xL)4dv11>FbDZ{7ILB!};37|VDAMC0`uCmociJBST=;oh zYg1SHyCVle&f}nd>*@Km^#0;OkPE+=`;>#7{twBvm;Owb!b8F1amIEOjNe&03_N|_ zbhy+15ejF2AE|Km_ff#bc*U4|E(t}{cQKi3TL}dQ8@EYRXFocQ#kWaS2**}P&o6?R5bbdhv>5$E#U8%sT&?)Bbhfe6B;|-gd&E-UHrn_-`tl{q&Z? z*-vjPocZr4ocZr6ocZr5ocZqq7w1p(yGHcEjPN!8=mYRLUerG1VMqU=;!*$RKI|jM zo{xcxd^YF#CrjuZz{Ng7em6UPlHxn?L_Lta=zAq6yMyOSesKE#QQ4{htcw{{B)p_xHELng5T%ng1_vQNPS{!~ekZzVjO4 z0$%7bzc(@$c%q&LzYEn3alOgauST-2Z|K=l&N0jz95x+Vy?tNN!<=zlg$F|Dpc06N!irA&l@!kXt*mhFZx!Hq<6G5fzna3iztt7a{dET};t=f5*Kpdc30&SswccM? z%W1zhaN$?;yQ%9q?blT}k8?eR^ElTBF7h?F?%Kd!^7>UIU(3N9kecy$bk6pQsn)d3n~`v7?W|+3vmyXS@4V*-*8x;Bj7(zbd@;DB4EpXFt~}oc%l~ z+poE=sB_v61}^+Gc66`)(GZ6}6nNe`GR$c|960AGjW4+0H3D+J{-kjR_q(>u_HXV} zMmqhE0**iF_X|fm{4v1!Je}+fejj+O({3Da@BDH*r`>qq!oTMJsorTn0l3Ix^ZC8) zo%TB@obzv@!a4tT1kU+P{GoKaVFuqI-pOgVv%(p+e1Nq!cyyd8;l1y96hbl2?4S6O#+?ASePN97_**imrWPX;dHQ)fNr(de|F z0$k*Wng2!bI4IlzU#%z3akczNd&`+z6LZ@z!NuVc@Cz{R=}oD=Ntv^xN}@I!e$Qs0|7 z&}n~Aw%_1AyMrO;Iz#@iot8dD)7gB8(#vr>RN)-A!<0Va2fvqmIOK9X`dP=g1Rmk& zKQi0i+)o_kv_BfSmGOmWf#>D>NlyEd70z)!Md2LhQ-KRVnsxp(@WgfZ;39n= zr2MtpC^{W-_7C-I#`6rvjx)3E&FA^g0#7^_IJk8NeJ-&`uQE}-{SR_69ue^l2OiH$J&(?J?6?59$fJ7eI`~4T{YAhz@2THl|9dgy-v0Lz zrI+*QQiXFKT?Sml-;CeoPWvme?alglrPKZ@;3Dqke)ejo{WS{b@m{NN9`AM8{>(hP z-f4dWaB)3UKd47dbfd$+3AlHCaI@3y7KQV;ZdEvs>o$cm|8|8l{|<#S|4xN7|1RJn zPs}=Tx6}R};3CfEe(heT{e8eiy+_=_2Tt#I+CQLh9`Az+=kY!ST-5V&eQj+iRH{)F zJ?yl9MB&`uqYCH#9#c5;A6Gc@p8%fc&nKPsPXW&x-_uU}XMl@yr||n%Zmhcy1+ecTry=j#~qTX2r|qSOCN*>=Hmy)Q#9>TFq#{lY7d3;&t>+gF|b zUjr`YQ{|jTB-rcV@%U)`6<&K3y#cvcr-J98-h`a%54BI;+iGuZPQG{l7UUuh;=AA# zL*52Y#6j@dqjw!!&0T+G>o{Rh#a_J}e zT;wN^i|Y^bJ>XBB{yziGaU^?#eES@7FWh(w=bRkzpAqR*Wl${k9`B4$Q$#y z$!{Hdz5_1u-#q8|-f90swtsUy`4K$!dz}9>;*|Fmn;36+-n;Pj! z)@kx<08#X-)BZQ$_>-PD{_gPq04~-+dGl)41w7+xT;3>E{lkxxf?p%=gT?fhX#k z;I&6{L(YEm{4)=DT>rT4%&Ty&Q}ZdD`SSx8cAM9A3xLPF|KuuwYh? zybqn8L@orL@TcUZ_p2Aq>ND+H1U&D0b5Y2-zK}o6_s|vtkDphf@g?t}Ee@RPB()FT zPgw$T9fu`>i+M9)I@N*rvFY+NMCA?3Qs9YvD1Wc3xiE!(DSL^(EC8zz$!1LCbRh;&#DxB?IP2p_s>I!FmcZD;54d7yY z=65^S1W(S7%J*|S+t77FKnw^TUuw^BIsw+7Dhi}+)TrS|st_cr57 zx{cGW7PzP{qY91F;~E@%P-hT$V&2uY(sy^_=kVi8usX=|@?o%J$B-)94+W3yrSZq} zrqrH(1eKD4{tZ(+@`w5S%5cY?5x{xg#r`bO=RcKOqHUe_BZ0HOsC{r9Jj!V|8o2PI zd2TueJaK(AzR*P9iESyLB#(t0f8u$Od>?fj06j0Z11|bC=ks`{eLZloo`?HeRI~}I zABtbd!wzSA)eqU9#B~RSbN)|MIP-T@IP-S`&Ur+9Ge35A+D`&5^25CUwTsif0l26u zX8qq)^@Dup*SgdF;BMgM#cy}Vo`S;Jf0Gr?{%ce?^QS1B`9*~@f2zWnKTYAxpRRD` zmw=1$*IMuK?cuba0bInxyxwU7Pt3dc{$O)gBfShk|C+OQnAg!Q;N|6CD|nn|G~W7n znJiU)axj?}Gr<${&peOa6Fjk=2H%5dQ~i&3G70z*+W%Or#M{+Ol zxSmq`;P+c*LoU|8;M}bXadvAra-TNq<`THuI`TGGE@flZYZ!EQy z8fO$cI_Umi`Fdx6r~LuI^YZgRr~N^|#r!b$=?8(OB0hibL z)_0-)=d?c?xVS%3+ftxHN)K4ISAMoWItM&aZ)@A*g4-$e>%|6L4R#LqmRy~JsMX|}!jywqh*`^&TK z&Hk@&+FuEr<3i&#pSQXSJh8r2coe&?ogWq6ic38pn=n70!OYPT}nL>$Clt z`;r^L6LybpZ7(L5!|}%AM#y>nqJD$tmTrPv|201}^f}tT&H*VVr`?SEA``|US{bAP`B=R6^Pu#W!WwEI)x+|OSM=YIYMj@!lQ{qlbt z{=dN4zog&X2ma@@k8tBcybl??mpT{Z92d5;8*q_F=6g1CJMHIDIQwN@g>!%NDV+K9 zE1dZYD4h8VDxCQX0nhW}!r+PhK=8c9B9L=kr+$Oy(-(F6Urga_@8Sw)dzSz%^WXX& z=aNqQrGU%$b+*lz-r7XJslbOPRR5L+kN3&c{~*DOmQniI?qwCub}t89*lj*%w7k=P z1>o#|>Myv?TT#iW-*P?2PY|x8^s>DxE1d0J1vuAp!p-xHRaJY|yPCpT@9GL?es_g4 ze+}RwUgo*anoj$*fb%%0KXYAL+iAZJa4|p3>w$H_6Zs-|?a_K!J?3@I`rvV#$q&K) zcLT`9{$LV)pp}04y;%8_ApP#khT!S?wGnW(ll&39FSD`Ju7|=oZks5a=QaXlNHfAoc1%*({z`a5L(oc{X*7x`hvbpUv5r;h7D zNB?HP^WwcZcq_-7H~L5V#rI%>3`yi$fG@^v?jyDYPuNY*R~E|m*W06LE66#|I9^*T zoa41kmHpN_?GxkaKb%*?>c)Gu>sWP7^d{~2d{`2U3;lKVCKyKwkfh=}J6 zwXbdKn9gr>Mff~QBSIS%Z zycpf)Xq`rnhO|fhopu8pe4vAG=HQz<_!bVnrGszf;9EQRHV$6v;Da2z&cO#e_z(vl z>fpm1e7J*;050M=yQ`_tQflhzC^Z(MZJl-_9ek97k9P1e4nEew$2s_R4nE$&>m7W8 zgKzKPJ2?162j9`bcXIHZ9ek35@8aOJ^-uok^w7bJEIQV1-Z*=e} z4qkNdsSZBP!KXWT$-(z<@EH!?RB;QKrH0S9P)9!2sKgYq(b@1~X{Co$$z`-wc@QWP$Vh6v(!7p|2%N+c2;0xg|`L&r|q-vrq zZ1V34;Cj8h(!sBC@T(pC8VA4D!LM`h>wzzYzwv&&z0gQM(@2jLmA7z-bE%4t|@1-|padIQX3oewTya?cnz~_`ME(pM&4;;14+XgAV?XgFo!xk2v_F z4*r;fKknd902g(L@@#sk1pG;--BS+!w1Yq6;Lkeva}NHzgTLV5FFN>34*s%(zvAGp zI{0f2{G8wdZ^!M}6x?;ZRH2mjH*e{%4j9sCyu{}s5XBeQ6^ zDineL=Cu3W!T)gZKOOup2mjl_|8ekt9sEBBkLD^1^nPM42k++Kb36Dv4nD7g&*$Lt zJNN<)zMz9I1YFEp`a%M|-nL2E4+}f(7IE-J9egndU);f$aPTD^d?^QC+QFA`@MRr* zIR{_f!B=qb6&-vf2VdF2S8?!F9egzhU){mGJNOz7zNUk(1$;5gH`@2ob9^0h=-Q~I zor=lYPP=s+d|d}$&%xJs@C|@3AnYnlYbkB$@HcYsje(2tP3>%>_fQLyJDX_J)x&AG ziGyznT+GK{9qs9~t8wsN4&K|r`#5-C2k+FKFPs%0lsvlzO@&d=-Wpfg|_zi z4-QZooc6mq_-+oqyMq@Te6oW#I`|X^FFN>C2cPEP(;d9z;Cndu3x-;gLgXkEC=7q!Dl;omxIr7@Vy;;9|zyp!S{3U{edr9nOCz*^sN%w z%_KAG0H@u74t|h>9}GNi{vP7AKh(hwbMV6*{0Ij>(!q~%@S`347zaPr!H;wB;~o42 z2S3rlPjc{+9sCprKh?ocbMVt0{0s*_)4|Vj@c#k#)}ynXcIPU+mzQIQXRwewl+`?%-EA_>~TRm4jdH;MX|#wGMurgJ199 zH#qo>4t|q^-|XPGIQXp&ew%~e?%;Pg_?-@ZmxJH!;P*KAy$*h#gWvDq4>2_>&I)l!HI*;LkYtvkv~8gFo-!FF5#%4*rsZzwF?zIQXj$ z{+ffo?%;1Y_?r&?mV>|T;O{v2yAJ-IgTL?KA2|4j4*rpYf9&9&IQXXy{+WY+4qU9G zQ%h~l>3#k$oOWM2_*V}8wS#}-;NLp*KRWnN4*s))|Ki}kI{0r6{=0+! z;oyHd_+JkGw}b!V;Qu=Ke-0jXD{pu*_Zb|#8*q_#CHlGG#sc=iuu*_y!KXp@VPa;2S%5 z4+r1G!8djAo(^8);JqBYw}ba_@V*Y-&%ygU_y7kV=-`_<_~s72g@bSD;9EKP)(*an zgV#FvAP28=@WBo~#KDIG7w21z^yQ6C`W9dED913T-EapV;o#dk_(%sI<=~?od<<~0 zUUn2)I{C4|Xspw2oP%%Y;Nu;<-oYn0`1TIIgM&|W@Esj|CkNlz!6!NRE)L${;JZ5b zZVtY?gBKipvV%7|_!I{(I`~uvpXT7x9lYe=dpP(E2XAulW(RL^@Ky((>EL@hc$C4t|biGyG2;Fmf0}I_`?qVh=V`s;Ey@@;|~6WgForuPdWJ04*raTKkMMnIr#Gq{(^(Q z=-@9o_{$Fdii5xE;IBFO>kj^ggTLwEZ#nqe4*rgVzw6-dIr#ey{(*yk=-?kY_{R?Z ziGzRY;Ga48=MMgbgMaDZUpe^K4*rdUf9v4iIr#Su{)2=62wXfzJGHGat@M+_|JlKR zaqwRq{5J>x9k_RX@rTpyPvA>boykD>(Ry4!)9uuk7Hf02j}{w|6!+mRji6R7-mltqQq# zo;`TKWHm?c>JHxB!Pju`H645{2VdL4*KzQ59eh0pU*EwuaPSQsd?N?n*ui@^_$Cg% zse|_fF6wJx%Jf39y)-L1AFgrQ^>Xmu4&KMX`#N|(2k-CT0~~yygKy^Gn>+Xx4!)&> zZ{^@yJNW+@yUOsmjvabaW@ct~8#`Qf9OlMp(l$-ojkAfjaqQHPCS_)3W@ct)W~NtW zX71Cyd$g;W(R{l3@!TgJozX}d&0N^sZ6osfh`fJ9-Vl)wh{y*<7 zJ}e?19+8iT$VW!xqayOr5&4*ie7lHzY((A|k&lbWw~xrjN8}SC@*N`b9V7CcBJzn5 z`OXpfq=t=p zi+N9@S+`HYC;4}e*iDbfTO#rq5qWDw-WHM1jL7$h$lD|G4#>rMqR`dR*-pRQ-IQ)H zoe{gPh(UmlTP z5s_aRkzW;&UmcNO6OmsVkzW^)Umua*5Ru;)k>3RQlGxv8((eqmw{;fzhfVqY#+!lT z{cw8rJ>m3&Y^5^dmYh7d8a%f_&(}BP&melgmo}fy?1w#XH|+0#p6?@(z4QBMcN+G0 zK`-J_{{5Kp50hcGNpiQra}V@ zJZgU5HhA6%dDQ&AYw)}W{e0DaKW=0n`aLeg?){wOe_-%@7#aT~!|r3~V|Dq7VgG4p zPrqYP{sreEZ7rV}_Mby<)x#GC&zGSe16#T}O56>Blz)&$l^wzB72fhu*KJ z9}K%6p^xSBC&T_{=tVx%b@hwE^Q+;F-V{U_I9_aag2Aw}fl{(w$3${w_>6fX^YuL{R zeJl?18}s~bFPKriY`t&24cp0z?AwJz2+c-9GdRDaer zc-G6wv%bNz0rasxvY}zWQE2b}FXKYTMMuTS@^ddh_pV{89A0OH~ z`I%tY?*P5Xk6N!g8az8e@1Jib8g@HFFXr#~KgqD)1$yDXx=waAcy@!{IxiIrp2^UQ z^QLn>(q!0AfnLPJsfVIrKh?0GX4p4FZ^g4@@a&$GXS%`DqVQ<@)(nHERpHV0tu}*a zCiJoE#XSuB_RtS?y>%EoozVO1t;?{R6^^g2mpu)h**SUU7(9FB81qzJJHko&tp%5-e3PG8+NBaFXHFa z=c$JMX@>pjhW#1P%l$>`=Vux`XBmE+ZP=d^`k~hKxdzX9(2M=vxxaM2VShpBhq~S` zG6it(DgdE;sD2fZnO+-br$$VRseuvYxbk{c3~f znw&h>8a&s9JZfECZ}8j@@~Cxjqrr1i$fNpmv%zx<^s)N7)v&)U^h2G`?FP>sIeG3h zcP&lr$4?JwxKLWkA?jALG z9)sTTpVs~3hTRj;$IjtT8um{?AB+3bhW#_p3%@5c_DGUv4ZG){x8nA^!Sh1Mqt@?> z2G2_&kGd{jHh5lvUc_VENXp}@hTUu7`06}fH+bF%dDMBlY4E%SeXK6tHtgTY>BqYU z&wJ22@l4<2FznukKIZ=ihW&@oi~3aa@sYvvvEj!jhW)3ZA8I~7Gk87^{c!r+7l!?p zp&x2IzA|{e4tdo1d}Hu@3w>7)IeF$ac;?H=Grz&JKu(?o4W5OdkJanKhW#Qr{aDoCSqyq-pP_wwal>wjaD25d zE@|*A1$`_IOB?pfg!WE_I#dS@CXRVM&jqBP5&pIKG+K<*Xc-G6wv%bNz z0rb{=$PEpiji8U62R1hBH-SF3{%Q>SO`#WgR`au&!P6c3SiRO7_I05jYJPhdJUyY0 z#iN&D-y8Z^KKdB;eU0(^8TOkS_FEYCTS71LIYzrbyOqJSwZfy_m)pkR*)}Iny}{ET zdXblL#a8-w6FzvBm5WXAtzUIv;G<56S7rP=jY!$fK^?;Rer$kVjp2BMqKW z(2I5F?Bk;i`!S)tb8g%LIdG2k2w_B%uGoG0nN#U#USmvCGs|GOIYyM^{n{tAZuWavfw)%DP1@JtE)aOP1o z?57&`(+vA&=*2wL^;j}^b~pT(ZrHcv^kas>)0&f~&ES~{y{Ky^FMAmF?V%rPeRLQ+ zouMDj`sy<5XBqZ;8uqiH7yF>|ymF3VzZdjYeeG@V>;ru)ANv~i`{ndwe}m_MoID2_ zJO@E9=Huk`V8i|p=&jEg9BS|!2ECP^!wsGzppVVxNW=c9(B4^ZM;rFXKp(5qV-5S` zpcipa*X!{H&j}%q+D}h3cus;|#M6n#$%g$YIsG`*;5jWP&*=uw8PNOt{F#Q`Svki) z+u%7z8=vl5oom>g2YoCL=NtAHg!axk<3hv!qR`&y6Birymq2gT^`!>SWg(AR*OwbS zSLEcm(%`wu)BEp3UG3@p_o1$V-mk}N4ZG{07x7f%aJ|8ELr$I>4W65F^4x6j+>(>$ zR)goZkVoyKw;McnKp$IocN+G0K_9!Wx!bV62YM^d_ZmF+L648eCRC@{gOd9Vy9b~b z`{Q!FJ;c>(63Fxi!&65VtQ_x#+c-r83 z2KrbWo;B>B%jw7S2G0x7i+E<=*YKiY_Y(9m|6exjUxD6=|Zyy;vA46}|$tMQS zr#X2(Gk8AF$@7K5^Ck4L{Cs8De;xXv?u*|TJl}?XIC=igu>U@%A3qp8KSFQS%TET+ z&!Io+dFmH~=U3?Y`@(6T9X+PDHu=r4`#l_A&C4GK&z~WWI*-2$p1+}w)!9FW{l7W= z_|M=;u))Z6tUcH123+*L4uwa%Pd&H6Gf&8)=4oDoXTFd}&C~n_&jLAl7BqMk%E_~^ z!LvxnqsC`ZgJ-dvJc}DVON2aXoR>6smV#ca2dCdHZP+gZeQaM|*05g=dbtj?`d!}O zSwZ2^*3*gx&q@l9=FiFo&nnR4PkLQ4dO$7xK7e7j8uV5?RyTOo$jP&&!Lt_hqCT8+ z)7pmpI-wuxx>?uYSuf;K>wSHLX9MVC^V!g_-w68Hb??T8{U*>``K>W{HVt{yxNc_f zbkE6CYw*;CJZgS=7(6{g9(7*544&T5TkrGqF?jkyAM0=Z4ExQYxAMJ(!Lwyfo~;a? zt#k5hWAJPn@~C;LH+cGoJZjxE7(4@@7wg)2UwEKlKPaakgAJY`p&!nEI@GWq7W$#a zb-2MZ0($X%xD&=S*3^wO>_&y-tN9ph@QlgHvz@^+7JB?i_tETrOrv2p4tlZf)HrT$ z@QjBZf6C+2bBzgx-44);dUW>99S!@Pptt;=Xz=U|eQdv)WZ3Tly_kpdd}UX|emCgx zr;@*dVK*6iF|MOa`hJ8!uhq?}C z7(A^Zk2;?=gJ&l6vAphK*tds%sPpMCcsfHroVa!w_On8JXI<=R*w2Pu)Q38cIR?*O zp&!mV+1s$+$FSemu-^}Q|M|=QhTQ?sTk}8A;5jHK&%p-IA<)PA#i54%VWA)D`Z(O+ zIl}PcNW=c9&=0k)jy8CX33=4{9Bc3#2Yqb4A8**7kkgM74W5$>KTbC6PYLavesQW{ ze;V{wy`OIIoDuSH1|*!mO1AVN%?ltW1gFd!j-*4DI0KJH-y6zt|cpg%CwENBv8$6FdAB)GMhW%rq zA8MUEZty%|`0=D+|CC|>v|;}Y^s)PG&l>j6L2u>td4uPLoIEcYJTE~n^6K=#mks+@ za{BSA!Sh<^httPiH|*cY>BpM}&s&BcZyWaSg!WE6-!<&tgFe~ACB+D@dLyD zL+Gvg{K(+>I49312G6HCc|J3EK8Ie^xf7Q!4Erxbdnd178TMa8Z^iW+gXi0jNA08E z89d*IJnH`PgTeD7^s%`9WZ3_l(~n;ao?i_=elzTU5AB`&{$bev3B8ryzYLzg4L|-d z?Eek@Q0wDAgD1g@G}iN}Zooy~|A1c9hZEPi4f}bZx8gdl!82b@p7{-)1#y|1#S!Lt_hv2)SdhW$FB zA8K6JHF(wwdDMM#eS>EM=&k!H8yY+tK_6Q$8yohUKyTGsjlr|2;m2l%efQAbS+})@ zeI4{-9%^2C7(6`t4}$KdH3@~HLN&*0e{`dA;>!m!^m^h1s7RtC@3IeE4* zc(%>SQ*ZF}&&ktZ@C?YwGtl4}l#^$$!7~Kx|6{(5&BqMcQ))N zg?^~>*~Q@5HRMs}vzx(FfIc>#$%cJXXz%QIQw;l}VL#Qdp9a0PUp5;&rI1I>%kBox z^pHo*ON+rXBji#2X*GD-ppWHureVJa^s)15yJ6n}y>&k9GSo_(Q@!G*ibA!QiW9W~1fA1!P=jNO|w-`LPDm>bK!rKg<+e02T&UY9*cS0Yl z|GNzPyP+5NU7YXlxW}-+H?()YPvAbo{(k6V{y$*YKL|Y@6II@ef5@&Fb9$Dy~@*%JoOlhDWF_mpA(bWT5>F?gQM$@84S^L$R87Yv>kp%?q+_+oo| zS5w=JQWO15aH&v!Z|o(5=Vj<)@qNXxe-(PMzMS>(nqmLCG5#Bd{hQE>I#c)Sw+x=Q zbMm}n@VuLo=RJexe<6?BKi@ZaJ_vc#_0PChp5KgsFGrv}ewIe9)ec)oyM z%*Q!Ld}-K!mD7)}4W4fdKfX2Wzk}ZD1K%4wKZJfb*C#(3_CJO8PCS1$?0+%re>LoX zgWlgKe>d#@fL`Y=Y;-w*m&JT^D%w}9TdF5lAN*$R3qu3H;C+vMcg*5Ikn$=#SdZ1{pkqLmqYg4Ka9zLT}A$n87nVr#~YMo{`XtI(GWfD8qg<^nO1X zW7us6y;Zkk4W7oFJmU&IZpU z!;f7I`(2?I`Bmewo552s{FrRmH-&zv>voF4Qw;rZ*2z@Eep={<8jog!rxg0()W`0I z{dDMK&re$n`x(agt%iLY^r9}*e9Sa>_6YrOp0BqX_8mF>=rnk`LO-0km}S`SnbVKi z2G1PBkG%~0y$$<)4EuedxAMB5!Lxr(o&yY?14ABly&Yum91MMIy&PiL9~%0h*85=w z&*9Kp=fxuoo+ESmbCkhzbWWaQ44z|i@*HRI91neL|31O6KQX5tCmB2^Lyy~cN!zZw zjvPf_06Mr~^oVZRBOLj^Nn)*+xyp}ylGuGd{{9^dn?6s>zV8h`D;>4N*A$!M^SLfI zKF`yd2m2S}SrGG#<&VEdA!g6=m_7e~F5~>)E#dVo=b_zK zwr3pW)!FCyd>6ClKEXU>ulB!XjQUy@dLA$3(cb4-&fr--XIxe=cvgg7#Kqb7S2FBZ z&gsW02G6P?j~d_A44&0P9(8|M!{AvHdah&2)1Xp2Jv;8|EOwA?EyI3o=taG#eyn5g ztecZ(J%eZckVlR01_sZDA&)w*jSQZRp%-=Mobxs@>}zuRv8lncS?Gt;7rGnvwV}N; zk2=G?2lQ5*^fY*SK`;7>dVdFBmlNH`=qF9Hf3dvug+A6Nvma3>j5VLl4W2Eaw|KTR zc(w|8)Vkl=;MoRx-oL3Ij2lV8+}5zGhu)e;e}ktXC(i(bXCU;k{0=hg2j}!-h`}>7 z^ut+q!wmc3p}n*2Mi}-Zp||of%HSCt@~HJS#^BiwdTafTHFz3Bf7Jdw&fwWTQVx{hZXJacmL>}Bxmos(xD zgJ)mpopS~q%Jwtt_J=-JX9pPe2Zr`eeH>)iA8gnkV%Q%Fy;T>789awW@5k>5!|uqO z;~!=49Bt^2fnMaviSx0B{c(o<@rL~g(2F>$>*hp*=cJrGCmTGcC*t_XS5d0lDnT$PjOYJ=yRoIKYWJlEyqx!&Np z0eVrtPJg@6u)itvL(S982G1=akD8}j4W8SekDaq`H|+1o>BpT0&t1^R*7e+M~G=e>|e z&BOl;p7%o@)t?Uxo)2^Kd}Q!^oRjAhgXdG|t^W9#!Si|Oj~eGM44yBckJZgrhW*#j z$LjqX!~R>t{yW3|d+1~S|6thv2)$MJKN&nf=j8dt;Q1B$*nEC7?0<(|^pEWKQ~xmR z{xrt@%dr0&dJ#vp9{(|T{>{nrpTU!KD+7c-YX9g4+`{1V-)opF6tJYZdeXT6;MtZ(pa0DUYU8yfZ-<@94? zgJ+Y_52p{+81|cneyHnyGlQpl=!a9EwT69N=!e=jdKf%Cp%>Tt&iA_XGVFWj^rMf# z(>LT%;^j7~F zXz&cm$urpC83Mh?rxVYihW)UdehfEw@Dg$KIs8b&epKj(THm7$o-xqJ>T^58er!%Z z8V#OtIeE4>c*a8?%kKokeuvNxwGZxS@a&Y6XQIKgGxVaLI`3OdGVFJOJ{FH%4g1}o zx7KgL;F+A0r^(=%l9Q)s@Jxl?KTl0F?3$sE#j|AC?;hGa{dBrv-vWJXz0NS~Tf_04 z`aZJ*a(W4}+)O(07F6sOzxP;OT-smakcc{hrXr;yv52p98&!mpYHV44%EA z7k$7vSM6ii?+d+%gHw0=8TR`_Z_VQXgXciQkAn>RgQ2(XTOMNY916WPpTi8E!*lW+ zVelLo@~G?TD1+zdkVmbzV+@{SbMhQ#@Ei|)tnN-Q>`%<;$4Lgy$%Y@N81|=z_RhKS zG{gS%(B4^pXBhTpLLcixXBqZq8{?m2*q;l%*e|pDx#t;n=Nsc*VAx*>y;!H}y12;T zx!CaI62tz|&<}N8U1soHo|ESagXhYeJXaY!SLfup#^AX&5| zb~lFOtNFRf;JG;`&n*Vete1E-Kp`s$Kbg) zC(nHb&;22fT3-(sJP(FE>bxE@cpipcIsJId;CWo((cV9N!r*xldh1;E zl)>|~;*a(o<1+@&vpIR5GkBiQ$@7B2^CI-({a<(&S!V(`40ljk*q=XK~s z9XoyE4a5G;oPNAz@Vp)JsO$S3gXi6lM_u3V89e{X$@9L!^FdCY4-KA=pttJpV}s|D zoc?@j@O+k&=W~PS3+Q9@_oZR~RcP<@;jaz*Z=kpKxo-`g?{e~dZ}9w(ljlc+=O^f6 zasAn_{{?z$Kls()`3-tex9W4l-wmEWptth$r@`}APM*IFo_})k{A=+12ffIXQ@_bv zInLS!&pIKGdQMx{ z;8_oPr>=V^$@+%f206#y(BRo996!4+wy|Ni3G|{4)qSzX;Mo*zB2L zeO>5>T7NwZo}M9(S{Jo(+Z@h`V*R5q{b77`;(`{$q`23jiG?(^D ze~^k;l4KI}3sre29;KF+QdzJI^jybeU)Gn+lUDk?@(y%Y;K#;)>@cS^}iJI z4JfvB27J4Re2p_p^uuFWGOK*kf#W<-z9u%#EVOr40z4_3Q44S!2bv$nf&6PN0hw}6 zN@f7JNHty~``6Uh)zo(Hn~GXJJ@It!QQNPk&xqQdslE;RWz+vd|Hz;Ils`XQ$xPrl zkDRYPa@w~8$8}EjjSV$JYx-thBuNMKoDcG2TywE~Mq5j~4Pv90WhbN6sV_Qq9yu4@u&xW4YUplXfzDkqK z@x~(_XZ_XC**X2U7jPm@rBbQ3rnXmEzqjGfJ~{o_7dWd9_XEzV!~KC1>rU;52LR{S z(SeY291))qe!Y*=pBw}n`%Upq9m{ogDh1?hmH`w@j61U@PsYJbg~ksUe@5@6&*bodZsX-mkMW zAouI+OvpKp6bIQ)D(mGe;5d&I4~gSxBxmb<9M=lpIXWNXDtzYx$9;qRQ}^-nfb;k9 z^EH2zbI1k2@xGDGPdSHN81hXVQ%u)ebD`K?D3*8KB)JGU5ig0$_T022E(T82vzqry zfQ#k*Qs}wgQ=H1@JDmS6gI?@+Wj!K&IrLT?TmhVzms$r`0>|q)^+!7oTm_tnySjf~ z4IKMVeAV|SDUR1b&+D1;SJhLruZ2DqpX)q+vUlQhJ@hzI7XLA}?b)id|FubM5WGId!9~uRDMf`5Br1pe}EacS6r`i`C0rpqNs@5XK>K^F%{szTqNRNI=axdf}&+57QKH#`7k-d7Zz8^S|=WO49 z0CK+{Kd9q-JQTq{3_0&pG|%*VQfjhdp?Y{EV)tmot~RTpBzY`i_c-KMzMlY2)KB?- zgm+!{Bygf0)&BPsaGV#4w|dTbI;Vfn)LNbwK%=*qB}> zr3W_JK3)j@68g%vk-X^P()yNHwtOA%5^&u2C~nSmz{}8E@qYz4?mNVj^`#zlv}owx ztI%_P$RD@wAyTga$LpMUTpar2>%cj6R=sks#QhC#T;g-$Q0{t3@}@T~`KRtjZviLj zR_!lu0~gEVJ0Xvn$9I9V;{RUA*HGwc5!dkLh5J9?IKHuYz7L!@FV)x8PEJ06T+C}s z^PHwq2hKMiLeKq%;yqzNU2S*n8y`V$&F5p_V&|Dpa`Jo%9M@g7p4=NSp8>~trMRf~ z1wIE(?4QnkfiH6U^=0Un+ONI>&Z%={|NI&__CKq0<$U^0=%0Fh^eu3_FA?9!p*!{L z{T<{Y|AR`CtCuU^LofPCU9Y}VI%>O@>+c6opZ0-Sh3Td~i9VOz-<=n7tIp;FE>>srL(la?eyHD5w*YXWZw?>Ox2A8O^0G)4gr55j z@l>y02(u9Mye=tzRXuHT3q#L-lKuFGx?OA2tC+gFBv}M{{7HWgDI0lF2&_6<3^<-A z*{gN5IB+7aYX4aRIIcJ1Q}1&x8S<&uD@y?<;xnQ+t<=_vTe?d_FY0Ub$l8A0m+|D} zM`7Bux<1Q>_>rZyd_6x__+% z9LGP6D_!%ncU5|LdC9K~oQOxZ-d2Gee=2pds>e&?tMOP3I8i5RKV3cKQ|n|6;P^U@ z=HuK~T@!liyt5W?V&8I}8>|hzSO>EIRr={Vz=`=uT&16`tMMuO`g*{L`cbcw*7wGx z_`Bz3c(?&@9FJ^W$@{JFa6{m@PKZxkR~rFm-M`#8x==w&~j(@BpQ3)8Zd*dKb)w;G_&R$v44R(%fu zPQ*v;4+A|M#b5nUC`1 zWS_}LL(cxB;|{B@={Y8X-wtxoN7cSJ7P#2`lg6Ap;|!kdq35`e|7l<1=PH$bY&>wh zo@o9OSBc<+oPO;P@~PK7J8J$ZeSIh3th%2FT&zxZ_Qs3V$t2*cdfx>&aUD~>Ki|D~ zc9h>0daE9G15U(WjaLCUjsxXWJ@-upj{6bK)46Za1U+8|r98uH`y^8!7yHAEmSSy9 zPdw->Lhsd6aGg07I58h*KctqDt*>doiS?E3AI*^CPoG_agHGs0pBgcswq{Iy`SDZI1-%u&S-`Qse*E@? zp8X|1WdEu3soB7Jb;bRx(x>JC$N5j=t37Yr3pid+bQ{O$ue{#5e2F9gnf zl)knfaAJIQKi?lX5oh&$en7~lzJGQgaAH2$^TvZ95BeFNHy#}Nq3&;o04MUKp6d?{ z{m9n;VUXibC9a1HYPyLwhwI z=Kv?xlX^Zl7dY#jeI9VU|EKXy-*Y`5a#1(Vdr%iZFXl0*zM*g53nAxvqI{_5l8b=j z{L{GV{iut96Z=xOe))Z?OF};eG}hGiz0~7R>q2{f`ZD0yU-Cn}Pj@+RTt~#`?9*3- zJR=HC*;}{rb-U!soPJ#eoXE46O+2i#d zE|!NIfV1X%BXCw--vpdr*Ei?%=N8~%edku_x&CQh**Whv$nmGLU)>IY)j#h5PSm5? zKko$2io;#N`Ej@#az0m*|9l@JJ7e7gJ@?ggUC8?s_d?I>m+aMZ$bGmHQ2kd2+JLHm1iR7x7j5*Au|S>hwwI zowzF3{Z9cW)}K6gSI*N<181E}o&iqeNj*G>1V6Dejfb-YmtB^Z+QmzwT15U(M z?GLX5$MK?hIQ!Kb(8ucaP3WyWzZLqU=J{<8NB%hX0rO{@UXF2&k&&l@%a9mdur;%;+qH0rDXLhIOOX$UZP(H8EY$wXITQTK(Pf#ZHi^HR@`zj(N`uATd1xa0CGa9nr9=i-pK-+<%#B|hi8{yX%1ZX%xS zy#5E|ypNGx`Fk+Zy68-jKcN?SZtQF?&P*Sz%;_v7e?iadkL+cCsoXdE8#oaciR1E1 z{sB(ZpL)Le7dT$eG@o(Jr8atg-_)Fv{Re%l{*rmh`%bL>xsPy8T>?1voA{jjAxlEfaU>o-w`V>r1-)2Dtj~N|I`l)W`(=RR ze2^dN{l#TNKDCc82OQTa@n!c#mWSMm^9sOOab7XxOV<utZMMAmXl}okjJ?nwg&W~t{Vz1Q|JS*^zjF(>ouXb>ToUK zVs*GS^j6;10nW+?}O_@F6O1y;Re8ox>nym+t9s5QtV!opRDJ+d3qAXnt^@5HQ3o9Rm#zl~hc(dyII*srI_?R5td4s@FXCFhPMVx` z`N}%)4V=igdOg(#I8i@pf9?xhY+dw&p8cjciTmxvNt=iM2z@2Z$rhnMYCUfW9LJI3 z?VOLd3VGCdZ4I1w{+H#SKj*Ox^rCLEbH=ui`|GhDa;^i4gSwvk0~gdCo~t*6<7W5a z21Ldk2zf02gP<4npvHeNaN?ZXv!VNxn!56FE*awK(>fnnJD|1}`k~N^cxCHs805ix z@!V~=r>D3%?^BQP^fa#XKJ`fGtvVhB9IxlZuvVNIKMwmfZU4T4#0`|s`uM>%<0cgz;WHu z{Il!1ra4X7hxsRleyROnXW(M}U=sA~cN$Oadop$bj?bCok8_>6tEVR(K4)gVcel_F z)@M6FL9v(bMNfua#KU!j$($^UHSPW9w8?@T@oa*hY#tMB0xq8WPO zZ&goiy#&2gSGxlj+h3-8;hz=@#K8<*na;&49c@^Hkb?q9QV z`nM-=BHmdan+>@i?>Ufj9Aop@3pkErY(9GfC+bhV?%M}A5pVUnZ{Ltl?MM3o7wbp+ zhdk=}xILBi(M}q z4n6k~;t}h&IOzy)oY?w45;%@m#-n^s)KS3kee;x0`<|$yffMzk=II!3+*qED&B=Eh zaIt=Pd`_Mda{6^5aH7x2JXWqNP73)X4qb%4FGk~2p8K2v9M=!UO}$Pz6}VV^oEGwk z`l+yK=zAgmLn$JbRaU97X^?v@vz;QpN`Bd*W(fz1PplAQn^;fxH zRZUxRX->Z`11`4yE{9(1YuV@PuJGjKNA~%;D|3!}l`-zs(DQnsIH>2?Yk=c(8~Nd! zW3SEW&vk}B*XQK90XUIooIl)s?8cmYH|6BJ891&BidWjNg8QPkgnSZLsi0eP^4*q` z?{?tCI#JIjcL2xzkMik!-t$gRPxBQ0uQ=&0=(%plUg)d+@owO_?up0w-u8PGp0RBm z#nRN4;_Ng^_(G_AfwRsd_l11wIro0xc>d&<^L+UM==r_{&Chwh{2=rq&g!}CA>g=g z5>M72ANKfZ{Kk=WgDUqu9*NjJ8jh=;A07ja<4)r`&p#dyc~t+O@NmSVzQ6V)aNfG$ z_lzt1{Zqh+b*t|8PiuV2{_zZOq7K#l<5}QDzSOuq7y766mFI!ueK=ho+V`Wr0Gzl# zlD#+jBIJC2CHwO8^iozH$xG0Sep}X~bG!__n2);7Uja_MN1%Rx-mAbl`BUQk8gN#; zU)T7QKKTZ4UOjL>t@Oz^ffMsp^Y<2TvATadr(f^n^y^*VxKB_XozI`X2fe@k{|C7^ ze>nH;--n*-BVBj$ee4gQx8m_3aNOt8J|Mq8`J<3Wt)q`a9%sM!B;--^^C@s5-|G7M z3^=PEKL^gL$1i}h_Kz=tlkrNw50vj8e&y*Y-_HBqUqjF5IEr`nzV|md$N$#jPxB?m z{|oC+4H> zSO0|LXU}W?jg0>vQs1HGsx zXMdX)dj6a>*^ll>zmL7p+16gFz7#VbaO^kvBXE`NBbgsKFP}XYfZWgLf{=3`pz+1| zwm4~_a9p9Uo?90Nj^{}{)%)+1ibbGjzf%9{`vZC|YK*^F&hZxqj`Kz1t9^M1;H-7A zBydihE8i=(RLG~E^On~5lyk>2z==Go>t{Quf<8dLmr{8?jwDG6LDAjcwgXR*FXIX ze>TtQ&lbSN`q7rqb6#ToXe;2vb0X(GjjcUB@i^~kYy-U&mu-O)>rK5cT%VJ#f5@j^ z$20&Zt`GZ1pLh1;6sK&(P143!_KRJB6LD7e zi(NH7WxwAII1wLpzc1wEo1Bxc2{@jI7w^h?n*v;Hy%nLC{YbuNG!=UPI%XQ=R{b;s zC*q^lPYF1&KAijZyF<_OrMyc$t@m={o$ldcacKcA7MB?zk9z;46*!Iq)_?H5l5N0Q z*YPuf6MZPVue=B3*7|A(PQ+VXUmd`SzUJJg?1Y~8H=0+&p#C*=y|KS_L2vcdS-^?B zspqLZf#Wz*-qiEwY~Z*~$S>!9Jfe>lC+!vbBlMMRBiS1`YkvCx$9;&;(JCwb$Ly}F)G2F_YfrvN9`L-zgq zr$Wy4iTUvJq{{i?G~mQ~Q1|20bNX`za3Vg==kCvh-dg8p0Vn2__4TtMx9ad5;KaPt zb$%{zTpzK#p9h?nm$N?3hd#E>FMyu=3FX~c=NCdR=B3`RyC~#wKA&+h^gM5xkNdm> znZE=$t}pV(#o>zQQs6{<)P4Oj;CTMT=R6m=9D3d#$uH;m;1$sO`@)rw$JWzT(6fKB z^>j6GBEIVWa1C&=&#hdWljl0%Vtw%XkVoxbHvq@;r};Vi_l?ktbuK?IT3P2e0mpSg zJQ7#AzP&l8U$+3~=j+zcUXAl@z{TQoJM^)7xg#?Eosf%o$n#t!9(MsJ;vsRBc-##f z$Dis}^y}iJd!V=K?_S_|zQjZOboKMY_j%(`ek%IZnfpDx@5ci<{df>KCqBw`-$Nmv zdfoRhaNO6(FXvqR2=tssnpfkH`kK1#I2S((y@;>8PANVX+B@$bJq|thu{5sQ_ccBN zoXC@Uu6`0Y?(^k5Re%5ZDdp5seA?tY2R@&<5Rk7>PY?;E`7;nF(O>h>+*czqCGmREic^dB_2d7p?^ikbz7F|N z-|l-O-vGz!AXeYs0>|}1{;7TWJK%U9A--&V^7lG^550&}k2>0Be#q&^kHCrRjqHB* zPmo*d;b-8)JnCE0?cEJa@(XZIzf}6$uL@uGJlXr*!{30j^835Tm)5`52mb&r)(8KD zUc^JKyT5Y!^*3<5&yZj0`=kE=C-ReB5B>`|$DQoe{_-Di?02lcB={ju#-(x6`b0P2 zthmnw9M>iBWuM!g8*=Vrw5uj+%!&F zJuL`atezHvp7%H6an9EZd*jgjguZ(JaS?-O(VRSs0cZ8C#X~-|Z!G~F=b7f`Jl9>) z)6@K%=ekQlZ{=-i;6&ck^WQSSS#`B6a8_L{2b^Eu%R|od_Un5E=(#Q^F6DD{seECu zBJ{Cy_Daz6e6zYy&ao>4$NeR(AMNvqs{qIIB|f!}tO^|GgZR{Q%4)zlaaPX7s{_aL zAU$ZRIM?-`Qfz5yn?=9g zNI!$d7sl%V7t7ze(6hhfk8_>0Ug(c{&Ricj?hnM{-2d3X@MA;6kBy+W*89f5aebuo z>1vppVthaOipdvHBU2)1Q&Ri8!h2brf(`{}>IN$Xj;)9s@bo1?5fs z9_8(T0#7V8E@xZbFm?wXo zW-_*xJvyt1IPP)8rSr5HzmmZI@>+OXP=Xq9>KRj&VCTTx^8Cx zC*s{uTiY{fg`C$-Ebnc=alNH+)9&ld4Edb6@Iu=IIDh`_kUQ~L?yGcobMnmwPULT5qjLQ-2RL3=G+*`lXD`h^<$7grZ`>??Ra~Wh_W>@pp7w%s;G0!xf{2oXpUq=9E#qCJo#5}XO zO)j_}usI4iv0pm(YmbIr>7(D0Zb`Ula9pQp-Yeh7LofAS?2VV^yP~hG_9VFkII%vn=kjQ; z$)(Wy`|M>Nzn9m_Ip=cVxIW1bC;xn~y#lycey@a{>nN7rt2`X}rT%X5)xh!R{)n%9 zUY+LtZt*q1S^e-@;KV%DedM~FeAfdPyAN>#^der)_4SR=i+BlrwE%7cj@L28OTBM& zGjO7=v+KTFLO;a1D^9vK^h4;Y{qVMsM_&IFZx4B-p35k?12`*RcLFE!rS2Pd0mt=E z@yQMzcYAWGpG#Q3Y^H7I={z&<8?#%a=u^bap=W9Q$Kv@gg$+1%jd}_G=G#n z{UmU5eQD2SpUTPibWXl!fD`do&$Z72$92o~`5fe8-*B#PpNF3JwKQ+t>$>-S0dmoA z#5yicdJ%dN523HF^Ou0L^8GS!R=!^W&WgvYA)nfxUjvTkPxX^sZ@&(?AI~=+kHzIp z=&iWC1)P|Nx~|>^j`K(Pan7gjK+oqq@?U+Q=-tpS^*ZG};NbREjiJA44Wm`UlHoYeFBSHN-KCm!|s|7+kl9%=n+-{buaaO{8DC$#%H z-vVdl;X7|!;#2eRJ#eCb$j`4Xi3y#CYUH&0IX11EIv)$4c2h5u^b_yaih zkL;bk@n=q+zYLzgq31fIIH>2ze}EI~w)`Fsx<^&+(%mndND6GzUun_S*IHU$8}Hsr11;xUvC5)&!6J#tgnrskFBpwpcnB`*Fz0(oX@mw zI*MIW{P%n}1&;kr*O&JD!kYo--{<~T&#|IL+|B3_@3N8z;PUrf5uhz#lE3m>OA`aC+4ZeM5T>c^lwFeAMgPZFBO~0~gC%f9S3L+5nuW$LxKx z0gzjH9|)Y7m(w@-#@`^|#QrSr4;BYQFY}%LkZARKAPaXg1UT;JY5&kZk5fh`$>4_3 zBf4e(NB(b;aDO3tzOK!B*<3Ib{gCxp4Rc*MaZ&C+;p;6EF(38Zg4f*>{v0d$lf75m zdthDW369eVkIQw3FeIW6s&&tK<-cT~e!puUzF)xglg6RBrLDaUzst-0ne&ydm(KRW zjACos%n~J){T1V@>zMnch=ba%I3HGA*Dkv9GA523hDQI z;#|n~JP(SOb1vldVfn-F^D>@z)IP!WFZk5>v!4AUJ~jT_CwQJTKe>Nb_IZ9DBm9%N zN}pd5>xlhK`txeQ ziFx5X?tU<6bq_~;?ztV2S_3$qKl$b25UDkR<9bc`D$fDwzQkJ4b6!%OioO!AIO_t(@gP3+zSVlbas3dVdf#e&;9~RK0D5bl8v-ZtsrJ2%yz$5{ z=UlsSPM%GG6a6zguhl@#{!)D8I;gCdO@ZS$k{=RR$>3(*IB6XWtFP&q9WF`d_y1bp zMI6++t_#Ok>$*qCr}mScz;WNC`8e<4_JTf^=ibnB+{j+7=RTo7>iqa~g}g5ipL3l_ zuPSB#IR0r|ozM9qQ=0>4t=BDpWB-wN?n{-tZwVZai@Y7yBLbwr8U&m*ufd^TYX2Al9M>`B&*>jSHNUFYyOlZ^2Ao$1!FBQQ&@VM!BY=y=YozWM z*ImW0QMzA@tJLRc;JEIn4#a)4;-oRqi?|DY^*-%(pnsmvNzA>hIw z)dHNKrx}oQ9%w$V@=V}(Uepg<96Hq=!0|bh_|)fG?ZAooXV0}d zAdl5qC-gi&@*}IWF37ol(s^soV`l-!@lEHUJ&)bf8wYXhF&lC}?sIaEzZY;~zji*? zu{ZSWAC0T7mwkZaeUWh0^BY~S>@Pa3FBpx5yvoyn0Yho`Zp7e~CxEjy@#hQ{#AO$d_H``++(PIQF07?c6sz9D1%> z^2_<&r6Y3sb0l!F{(ltoT>oi(q`w<|G~|AMj)7eGEzSkSNykDj;wkjibHj1KErh=` zu5;hzc*sRvJNI2qfS&6y^;`SA;)%csf7HHx5^$pK)cl?dTr8faggk2fo~rnzeP79G zz*+M=UE$N-i#sFqPo3wPA)mT`o|TjDY~W&XJ168(&+q2~$Ms6t~kwLUKa&Z^H#f%DhxWsr0HDL#Wsot-s< z8*6HN^iGn?BX(CnZpHOV;CMY#UYze8y~@-3>-}ozW9$7I=!O5z`=!@HFXA{+`~A-A zfaAVOevBDAwx+fY^6T+e_|aIT$DPI2&YD`%-4NQR&lNLWs=5(+KmIpCZsqT0;Q0JR zaa8XU-xBhvedbo+L|oMU?Ka>ze|~;$hhD_R>Bo2E^ykjdANBg}uAF>#hkWY%?#an_ zZ%)4Zfa5$-yvko|QhpF!?4&bO`tN?=xZcurLHGaaxZWOseg*s`9(sORY-(<6YHMn$ z{=V3Q(DQi2lf|vjT9{lYR=yS_c?dYG?>r2gs0+34JOW&7zkf93QTO}DfQ!}Fj~)j{sF~l*x(+0YU&5q^h{MxLhrA;ryzIYQ9X}V?oT`ooQSV;ZY|&aN|I-Q6YE%A zch3SR;;Yu>bDDq3eX!?4J~dx2g#M}f`-{Md`KtFBUINbQ|1XFBsr%|Hp?_-pUJd!w z_`L=k&x7hheb3`{;Qab{19GQ6l=#0H`lH7GEe}WjICaF&x84Sh*8{C*=lRw$E{^1AsDIIE660?yCV$B>J4r`Gi+p+D;W z`6+O*>)p?w=lQ37TYEnDIdI(HDNoMtXMX{`Kc6p+@xRJB{?{H3^~U$1EB);o;JiFB zu5w@aTa8ay58nYN`kT5Qz6Z|A`wtEBNwpX%Swz;RsC{AtgTegTf>k=BEQ zLj->Xj;~LMFZ;g1-yrAxi|n268~h!5tG@pLZejdoo*wiWvGm`ckjM7xzn~X+Q}^q? zffI32pA-KB9A77qKk9She}S{+_n$XzHO}ty`lMSK$m=t!d!uDa^8qKWcc}kYzps3LZybtKMW2@90?>I{P3IaCA<9w`my(#pZSF(5O4i&H&aJ(L3_1PUb&I|F0K3|+v3%!W9&{N_jmG`$g;9~LV0X^p< z7N4HLS@qZpIF3Vge(wI;J11Ws;9~XN7y4M7`ay5SY4e=^Yyq4#zby^Fw#w<(*1&Oo zs1C~OU~;ybSNh5}A)mTlwgoO$=k?IX>b!qWe;RW7Gr+^q{M6^914F-@=ahp&zvSod zDsdVNoXDTVRjy-(0B6i49K1fSTK z``6ahOc>cXrZ(*iqoC(J6A!=7p2cc3^xQXS9kV`*(HQ8hd2I)re-0W8xfS0=;9~I| zm(!2!fwST}9ymV#r1hA7Z{GyS{dw#Fd945J7>=v<>79V%>mV9eeNSN`aN=B;y{E7< zq<j3JSP4lYi={PY1dY*UckM>?hD{%fgX@lIF z&rIONeAN4IdszPTE+@JjIL-sj%ehb50llbu=XqQw^!|LhAh-J8tcd-dkX!MX4P31M z&4J!JAM6Dj=a1r`o)7lU>DNAnU;BnU>bl&|!;xR==kN9hj{Ohn5BWX-xLCdq^u{9| z)vtqq<9&eq%C3VChMf0BvaeoG&@;P3pyzy~^UV9x~PQEjMi}jx~bMl;J z@SL5K=N#a~{M7y7T;Qxco(G&*XKEhL2afvzhJA&+_vx&*jbo-XyqA^)p=iTc)M&~v=VkE*_MRYdRk0LSr9d7S%e+0{dmTmc;K zk13yn1Lu{%abHULW)-^kp|9S|{$1tiQy!_m+8c-L)$6NkfD?IEudl8JPUKCE_jSN= z9LO)V4zKsdCI8fO@eSU%h=1^XFE@HP;#2**2{_(gQvXU#(~F&*9oes)-0bOzN9-@f zNw+{R;wALe{pZ%4{@ezfh?m-zZV&x(-fO)Bdfp#sUe0^1cY1o7S9YF5IVE>N@2}Up zA?JD}JGGAPiP+zp)Be7Q{r!-Ox>Nhb1Hf?~qWNd%k_RE@^_%8Xd~a6e`?VedPUJ!2 zDv5mbiQ|8<*zmUXS!H_m3xlxbe# zabRm_TW52zt(C63)Apa)yDrzVHTceqVVLa_hd%Tfq7Eb>4=Y`*^yp8w)er=?n2n?Sj|g?wrqyboOLeDeYHTqm*keh8dc$Ikn~A3@J?ARe_Jd>ryP{ooVm zdH%$sz7O`PhokzDxXOv?GvGx2oaeQlL(hH_kI+|Wk}rT0`BUTlrH4!FdQNL6eSb$Y zK0{OH{K~_n@zTEk;A`Mw{pFjSJl`5T-$5_pB3ir!oP@qw=Rbu0sLv~Z4EfaG zd;JMG@qX>-j`aII3Y~5AdwMg|@1mJfEEInRj{T>&H#E1mWpCl85&tFhOO5xhz;XQ% zkJ^WS%gOgUaN@j>eLnRM$ay`b>#iWax8zUgMZ8B8nmW@ON+(}#w$yL`%IU}7z{Tq5 zALy<9^WV@fb^rViIDY;?^TYd6c+qLDY+DJwKcO4s951rV?*Gpf!Osmj_ie&AcJJFO znJ0pu7jm(V)jF6DxLCaAhu(_U0>Ftps_|Md)Y&CfEPU*x|Uhh>2i`BD4Fa=?i?&%Re=dC2{9 z%nCWjUlF)i9#(>$uiw)3GO}(^ZEbluCM!qAUj=fW7uii5RGLA*Y0AG$SbpJQRp9tM zLGg5OY3E9jt9dx$Q?K_{2Tq({MiomP9sHxAYe3I+kn+erx+e5ocjS-SN7n+*s+YAx zKDA!f0ZyzxwO-Z*j^j%Hsr9m6PQLYli{*a<=s7>JxNiuYh?{y{xsit>K6PDh3>?RU z=BcjhO>+8IOA`7^s8@9zxn|eTc4XlAIr}c(6irZoSf&Ly~~Yj zOW>?{ZUtOyeQXWA)d#lm{G$3(`@psyF6Mtda2zM%bM~|To}PG|KGy)fHU9y?#pXW{ zdd>%p!|$DBca{f1FZwa-vqR}%=&gJW0WLP*p`m_MZO^(M6GoKtJq&tY7v!hB{;Pa` zZ#Zzg{-)u3O-6Y3Q`7yYv^#AptxeNQg(kYB$Oal2u^$CF$1$}pAI;0Aqa$`>Am{fW z$j+%}9(cQm{aDC3&zXJte5_+mYip5yC>X9cM(oFVaZSv$?Icb&iGDG z&iF1*&iGlLobh{la>mbwockx?>zj(%{RL;C&WYIX<;i)xy*)XPw~r@h{Jx%?@%wpl z#_#XR8GnE$XZ(Slobd;Fa>gI*$r*nLJl#&GZ~7~Dw#triC~&+#lD)(whe0p; zfB*KvlsWCqrM=RxTjP~=c*Kt*JURP)q$g*;kAhsRRB@l7&3?M)$-F1&c~_1iM}9lT{Ey>od%p(S7Ye&{b|6{`*uv1oDLkH*C~Ge z+l#Y+>*_cIdMj^d0>^!b^Ke$^hrB+j_;Gf`{v60f9?Rc*ah; z&VF9t$r*p4CujUco}BR)dveBK0=d{f@qL)(5L^m9*A3Z~^<5oVMlXY&^F-r~q-va< zK0-?wF8B0gPv^PTN+-Pndd?5~d!;95f3Jd^>x}T~zI`=td`>6(?7qQNI%Ul!&#&?L zdE9F~IgfiCIpc5fp$tYcvM$ylH3`wzYB7)?(4Pv^zMlLJ&=n&l#TCgFUh?T`}-j0``|QR z`aQSW24+6)1h~hOUeLg&`l=U>)0kdV2JmihT@qXBo zbG#q%S0N9^AT?bUVtE^uNWYG|KBk1tyaStj1|_}TCOd2;sqeNWE#4?H>JKlJ2`|HzXw z{$t2RKGk#VC&2MKA$y6doSQxk`P4Xn7V+ov&|a;JFCz9|dUBrsSDu{b|FtJ){5PJQ z@!xuK#((F@8UMW}XZ#PIobf+;a>oDU$r=B%CujUGo}BT&LN4;HuHWB)R!kXa0X77xQvH zkI3u$Kj1_iOI)Rn`GK~7-s=Vd%X$2{AYfkdxB5M(JUGpF?uh+7o}A}9uP5j6=7U`B zH`;zNf5d(P$c4WREo~j0?etK&(!|N%1%VTFP{F0aTFB#PzZdr8?Dry`obii#a>g$P zxtOPV9$P$OzXarBo}&t_t!+(nI`|fAR*_2rC$9I$&{LsO1}t?XOL_e4_tKu6{ayxg zQIG2V;bkNC%Rw%#qs!mVN3Ivzt2tU8II+*x&zO^LH=S)WJ4ziZKyRJ5Rs>F*Z_@p` zd~Br%trYqr?}t=sW@X^S{?|z7%tB}O)FDY$f!@mJs-Ztw{F>4WHu7gR=tX?-JBl=W z`od9Oa;pO;@+xp0$r{j$^W&&;gxl!eC$l8Un!w>t!g*fHlXG3H?a3LxjwfgQx}Kcz z>v?jRwC?); zekkvSrI0=mKl*xdo^L--&hy>elQVt`PtN!)As6*uz1c77e=Felz5>~+&j+^l#^Ld| z@#H-Iww|2v^`4yZ{XIG38$3DV2Y7PE5A@`WALPjyKiHEqehB2U50yWk<36Gp3Y@4H zzMd_m`{=NcN4>rn9`R#@CuhG$dUE!AlqYBWXiv`gF_2sH+%952)|2yijh>vx8|TRx zzr81C{CLPk9jo^NCPeIa@Z>z+j-H&y+X-^3k4*$Fwy*B&@$xU1W(6>*|a>Fe}>~@D-#6!K`GaWd-Z%*Sfj=DR2&fnu_e`k1d z_O}&sxqdp^i!(dh-1ABsa54{7Tt_k!dQs=O;xEpx)pPE_z=?SZ9DSZ1deN`SuMv9>J`V+s{iS)h zI9wqg1{`0vQykiw>iQ;!LykX{bMg_Moa1(+C+D~w<;fX;v?pi$F_6nRY5VZ85&PpH z=k-qGxz9Tzb|-jp_VYwf&VHWc$r*pLCujUAo}BTgdUD2}207=C@bdQ}DjolH;CQ}d zKawsR)7v}Qjmk5i7x8Q;wDSu4OyIbm63<{-e_bu5ra~vK)zW@>R>-IJk+Xrr zpGy6l1A#TKb0hZWLC&8aqqz8==gDGoe#HKQaQu4hxzL3X`-?m|=ka1s&Uw59auI)d zzqN8QzcgZhnJ4G*F8Aa--W8Br_ZzN^*k1)X*AtEBte>kRcGo~2yFR-%Vs{S8t5i-xQ9o-k-S{II%ulT)H^u-z^@F;-{X|ZjJbJnbb1 z|DY#l{6n6c@eg})#yZm3Mcu zyA4V57I30}*0&buJvcf6bW~qIPTr3A^NuIy`M>MQdH(M~F3#!w<*QWxgI?S>F6;6B z&ifuOkN1Hm=kY!a$8+Ad{U~DhG2|RS8b>{+d;%QjgT@_KY@xtqA1J3+#IPbi^~Pbp zKl9}5_vfCR@n3jy#((L_8UK|hXZ+WYi}|U~CBBK+e+#+TH^!9cgS_pPFGVRIF~5u0 ze-F7>2kJiegNGykN6hIczpRo*x1+pmCO>-P@ce)B>3OzHgVk z3eP9u-y-(ELoVum6g_66M-1gS{Q*6{w?X5U^_btE(93hH_c_Xp=Ue?uXxPBZ{Xz7~5*UA4vFX~1UV^v238l4Rb9{d}IB>t}vX&h@hZQndveBa;mH}l zr6*_nR-T;kTSG4DN`0?w8{ovevisHiCdRhVi}H9%CS9|7hOM`DMF^-B`%Q{44KcRW>);I~svw zzi8YFF5TS5dHfvr?L9gBJKmEseu5`w{0@-&@B8ftIX^cbeD=QIPLPZBp}v-4?EouL=&L+!tlfb;XRiznxK?&`^Tp1XN+#uq#}<0nHd{8QI&Q^bA>@_AQW$c*)AXT-2f3r}v21w|jCPufvn`c%7b{@m-#r@v|V0ofr3v*v*Dq#8F)r zbAaRPBN{h77neFJH_OTg)4hP>`()&|`Z=S$f%89Sv=8J~oc9GztarZt&hBLG2fdh= z`uYF;f%Dh<0Xh9R5I7N+QEjv6W)Iz2n?@h_b~hl_h#; z#QreIMLg6zA0DwkBD5ddHJLviTNyq%5;&0;flHF3pttJdXyE+%I41N%eU5o7aD3mL z>eYFUc^vedcV1t|dvac1CqORivikl-^|{cA5&M%M7xAyxo)ex7oQz*vM=^UZC%w6K zipS4>pX$lk@6#X`eyi6lr$_A1@Z>z+nVy`-JIj+Z{%lXq_;VoV`4ZkaC!HIyI}dVe zUgrbH`x=ca=g-SCxgg|I`}>8!vA@LU^qq@x@>~p@I6pe)`AeYp>+@1i&T+iVlXKiJ z_vDPf0&*Uo@C|LVOX-vOZ121>Vs{nfqK?%*ay4+GFRJ^+HNc7ckQ0Zub+r`fn{3-l zvomMX?-RQ=;?H%VKkB*Z`iT7vo}A-$qbKLM-Q>v`f3qiN{4JiG@wa+%#@`0HsB87S zdpmIao*UT@DAK-z*XffxpqKZDz3(Z_@_c8+kGmk}{E^@4esy=m{vOE1Jk;mt_X5Y) zJ2VgHa|-t{%0==kb_5FiK zffM`Fz&+{6z^}$U2E7%($ARN@O#X;CcO*|h&viocao&e~5_;}49EYdE@zpwf8aREmyXFWNO`d6`Z8ssu>TD`s=v3~<{vF_B*oxBO0sGs5VwI7qYe%^wf_dW7ky&v*+#E*A8InVoD zPtNmxFXwpw^KfK8h8`}L=nHu0%Q5I1f04)cfwQg;KL9TF9`%RNi}mcBFFu0aum6ud zInVzSPtNoI6mk)7^*R1$z_CB+{OLnkxcihOpF?le&lkYSbziNsj^s<|d0y=QSDu{x z{~B`9x3cRC|NB|KiP(SZ$$7l*JUNf|y(ee<51yRyKYDV;|K!OT|1;zqXTm#u{1@nB zef(GGxv!D^nC7KG-=LRu2Yq&?{2h8f{(pFK_V-W7t#j315&OSAImhQ8PtN20 zn{&MXBK8Sx;Q90G=E-@yxgZyPO+8P{4IEz|lD+smQPpG~ZycWQyq=uLpU;ysetu8R z_yr)h^06RravjR&H48y6=B@Vgg(H3}656Yu!&)?AzZm4PI$j+5SRF3`z32<>dy2Tz zwj^-ew)U98~AxsF!!HR1=Y|P5OM`=CiMSj%l+4X_rI^q0o0J)ftdQRRDI6jAyy>q>`QBFTLj`*<& zuko?#-0Qwq4bClq zFt=lcwp$-o)D&QbVZB z%*@Qp%*@Qp%uKJ}+})#H&5ZQv_K%m}J32a}(P-epUI#ekV<+HrE^>UlKT>*=sITI; zbAVGjH33fT^aIZFRw+J~w_5Pzyj5KKgGc#D$5Hyu(f}o%ff@Y=DgJ|jv-%h7cZlLY z6gbOAr6^cFhAIBT1Dx_dBETvCBZ2dHrTf{Vz+>~xyT33x(5H5H32>0N&t}C;^qdd9z#rxfj;DzgP zQ-D+dn}Jh&F8<|y@r2RP+_0dST_@qD*8cyzzP`Fro5>=Woy z-R~RV)b4)3dH$vMk@p9W&cV)K{LcCTK|9p`fdNkK9|WA`Tdezo75_tkv-c6a?+zZS z_#GDD6zAaqPH`R);KV;Nz=?lUfD`}d04M%2z}fhV^XOQ`|F{6B_Kpv5YVQQ#+B`W? z@jEH@^WFoe|)amoo#L@^Th%s~*o* z{Lcw+YVX_tr}oYR&ckLG2Ie0Wa&fn)Df-8b{sQoJgoZ7z%I9mrRhlz6UljLgfZbIcr=e)e>ku02G}WIE)H>hy-|tdCg3bD z>33NQb?%QD%x8JI89bVwE)K?Xzb_8-X*_NXa2k)>0-X4_2RQNX0M7C)-lw@!@xKc= z#qZkl?&IGLJ6*53cD?7Z_rT7_t1aJA?>;;4eJ}4`@F-5F^&eLoEz_0zRK-o4!Fj#O=Q@3Oc;J(Dq>XO(!K z3)*q{i|F-uY#xDzkCgLww_`A z_kXwdx)R450Zwth8Q>K6TfkY|;yipCJc`Tti@(QxC)N}1-@FSR?c+|*yASYQ(4Omu zc)j|5tiyT92e8xnLHYPFz$qUe1vv3P4shas0-W8488xD3m*i80{~2&L&&1zPeXjU_ zq2ONzIK}-{fK%LG1GmQg8^!-y;M(={cZ%Ql0ZwuL5a1N&kHD=se^UH^4sdGkmjI{s zeg#hJo8$ZIGtM@@fk)%${C!?&n@fHNkHs&}hd;oh{m1Ev??3+uURck61vvHRZ{Rd< zU4O*$(Laj+zZw1ir}+OD`-|@tCV26P`bF_C6yP*|odTTr3j=5Q7T2>y6#qqmv+*C| z{w#T}_&rhjaiAO9#T5U=1DxVrBETu$C4sZ?VfR_e+eWe!c>Ek(`FlAXZA-&$orjhI zZ#~qfi-WxvFe&|m$HhO7M^7r31)s)+`m~FIg3K?VP+C?AkfGbD*Eb&))}L9d^nmjpT*yxjR1*fij!It}^e`SfKT`XS0@L3^$r z-u2YxuxoX)1?)5q&cC=$(VsTkGWM^TQJ6umB_>;|{-c1?dg$8o?kA5{{B{9Od2)W< zbFwjt-&o)@Ue0f1q1}Docy^)uHwn`t$2i4*JaGI|e*b)e!k-A7)sgs}rAdnat^rQt zF*(3#Jf;LV@plVw;!h25;_n{d#Ge-6#NQ*piJuE_;!h87;@1IZ=cD303ExYu2anb} z=U;mN5I+FVXVjSi9$Q~06k2B%=p0QGcqVwP&e{8V<>er00FTx+7Z>AoG!BmcOGkPw|@%oW)r>7ZsnPRqA0uz;o@o_YvLksL+)DIn?qG zhW8HIp}6-6aEg0h;4IJL_4jx?R2OI4k zqWB#O+`4~!nBsppaBKb@0bV%&js(u`qmAj;y-RYG(%#X)tvns0_#d0m|2XhyU2t`h zomMJqLv?mSfK#2F2%O!Yrr+;)?=+vJ_@4}%;&Sa(UJ|KHljIceXk1+T?0UcA za%#{H#eZ6WQ~amL?ThQ>8UJtl6_+!?v&Qo*C7!c^XZ?FH=O{Yo#&L+}uJaWC^MTX4 z;PNR`2e& z_$S4?V?F)At!|HHto@p?q@e-t?7)x|5G7avpn9}jTq?-Kz|{e2QRyZ#g32YE{Ie>%Xay=MZP z+Iu!`PkbNZImQ3^0H^j|2ykleMc}kUVQjwMT~r2lhJTLrYNT`8FW}L5QNMl#&er!S6Z835ZRs8Uay2E%Z$UfG zzqY}BjyGR9G8V`4_n;lh>mLD5?f)6*I=+~XzZCz!fm5EGKmQ(3d0_qlkBv*eTw`;- zc%E%bl79nziu->7PI3Pix66JWf(ywo?+XEE^(6MY6L>T}u6^;kZ(;DLe`y~0 zclQ^8oz3Tx9bZ^q6n2V}`oCC!Q~wtSPH{QD`1i?{Q2dt+aB6R<0H^kr25yb>GT_m^ z<@|X)(Cxlt*`OV2f4Kms_LmQI9e)tje!0lp3|Ij?y6$oQWnMZ#Rt)s1-IW5I+Fd!o ziN8vK6Mt3UEKlM-xtikN88|y%xbIoaFMp4C^}z1ht;x4HxIZXSx^!FvcKnmxKQI0s zY)t@EUli|Jz_q$v8+NU3*MXhI>pf>$S7~>>0H?gJAK(<{1_4g|4FjC`8v(cG$Ht2P zCcv$6+!Q>@pKISc?`#(9h|ecBSK`Hp2so=Z@jNjYJUX|#_8G4&83H@2 zd-45}p-LRXfK&cmzs2uT3=eoN4)+k+G?(d)E zfQR#bdVo{hbpcNOtPgPF=L4MhGXk9WGXtFX4FOL4LVy#0&j2U>EZ}VZh|d8V!Q<;f z<#+FGNfYdBURU1lDZiDMB+W`3Edfq(&kk^kdoSQDZt)!2s`$4BIJMUv;M86RaJEi} z`{x|Re=cyApBi_ljqXp)Q~c)xXZ@{pm(U%Jfy4sv*!4mGd{f^2M7{L)SoemV&U3Ec zqh=S{JLrmXAEo_$su#`}-}C;p+pS-!>o9;Wyo4&17jBNYE5fwMe`*Y8Iu{znHm_4k+nr~V!r zw^un|vvc@y;8FcJ{|e77z{dyr)b0rZPVJr;w=13}P6ChBLyi0E+jZ{mpXJ^v>LM|A;stY6-HR2Ra|@+0o+7b$UE9N-l9B>_%xUmD=VzbwFs ze|dlt|B3)7{*}P3^U+m`|J4Cb?OhY#)ZVoLPWxZm^E@Mu4wJUkc2QPbESp9r5<{9lOuS$vg#ya=AwkC$Q{asPc; ziQ^UERvune{9gl3*I}-HM)s?&D!i`n-vG|)hyQM)e5LUwcr=e)-Z?LM3wAmuyLP?z zzu#8ce+M|*7scPry$c?@J|5LNe?g(4qpA2rf1md$c&wfnucPg=K%d(EJiw{lF9MwSUj{hwzY1{Te;we&{{}d#Px1cH zw~GIFz^!%td&U0;;8tFL1W(KBPl8VIyA;6{&I`sniDozH)Xb;R$w{t8~WZv6(_ z%E#}D{~rNPp#Um!2-w5JK}xMg}|f!rsJ3X{xyA}tEDa1T8HcSPTUpi>I}Pfo?6}TU&HV(9`fD)45}S9e4*n1 z;s5Kt{|$ochgh$jV5j@Nu3zlE?}`hJKmAL2!RP7|!YMEKIe)_HOWZf`nnvW0WuS~x zdq_tar}pT+KE*+NI(HLJd>RkJiBIPl!ii7wk#OQueGyK4T1Q#`#r2Z*tI(g;IW}L! z>wX&F(4YLQ_Q@Xl)A@{W>Mvcl6Hfi5=f;E+pX!Qm;?w*0gcE;F)Fa`IX86;**g z#l1~{Q{3AE=W&<+)F#_kyMRY^?flt#S-G`R9kfI3cMWiAzgvJ4zk7fazej)*zh{6G zzgK`0zjuHWzfXV@f4cxD{`SCW-E#cmc!b{t+W|aU_nrT+-YzLS0;l!G`O|%6_nLqD z$%)dX=}t=feSur^YiICi-F5AcZkXTR(vX{8XwNmb)xgf`PkbMzA9&$9RU7+@_1hmj z%9o3S^UCkR4FHe!C6|{j-KzUk^{nYyEU|$~9D{(fc`u$f2P^(VfU`WX_ZTWC&7t72 z^@{P@l3}pZKJ4O8pYQkVfdU(@v_Aqk&2Q)DovTK|PW!maU&)U5B}c(-)zfID{at{w z{E7R`81QJ_aB+z5e~t~>as4SG;{x3I7m@M6dHyTUiz|0DCn)|CV}D*>3Rem;xS~rvqB&yT3h&S05;_-M|aySMlX}XQO%J@+kg(WOv2ClwHri zxDVI0q>sYf+xhU@L-Ef6XZc|FZz>AzPvRB-ej2OW>8hHF3xsbpikp=e1OxqodBH0EsooX;8EQ< z|FN_3?w34R08R?@soj$UoZ3Alz=?lqfD`|;04M(G0Z#lgfK&ZAzW4j`GhwIo&iQ%2 zFFy-*R;Q)=;K6sC&jydi&FT0&*w4YgEYIS36@YsAGk#B2h zEq!yMqv@VF9&sJK7rby@-3OfQC*$0&j+)ZfD@(toFCDJ$2al~6rTbfT?g#hoJ!Cpx zKM=G-cx!`r!P<>+{#ZWBnE9_3PkK-8emOUcUi5%@69wn*mP!cq_n(|8{^A z|D6CQ{<{HA{PzN!`0oce@jnP~;(r+6#Qz95?H7(;d=I2Yb&sOuW5w?i;Is}nKk<6y zQ^o%?;B36a`urR`wtjl&wl4yG>hG5UPW}BVz={8LfD`{4;4Dt@IncL?|98Myo%hQZ z_H;Kyo9oICGacu9#s7!czef6<-H+h0JTYF9`~*8&$ELVHw9w*yT3UKGozA$aN%FH2 z$1kz}gnVmjhkJ5e`VJeeH-1(8e*@0)D9+E{!PDmFAAvrN-=6_aav2#ZHJDAef&t2)P0z0dpNqKk8N4G~;RoY(-IP1T-9(Pv! zR}XN?_Zk6C`Cbz^%NL$IltV2}gtfq9>)LR4GA?!~y>+p6pik|t6X4YDy1-dK+4GLd zbCLA|p7Ss9+|8Bx^y~SJr5h*f2klV%8w5DDzhQtAf1>~={>A}L{7nL!_?rT^t|vAF zkLtwvd)E`2!_M}L(mB6vesl2;2Vh2Q0p3zr&z#Qid~^GPe69p+3HvgzyZCb*?JYff zP3t}}g|>n{T+g-+aO!tefK$J>0dDnsTgAUifKz+b0Z#38Rq$@WSzVX%7QEoq9XwXo z6`rf>9+HmxuvzJ{u)G{4J(W0m1vvGmcYsrW`T%G1LR|m0Q~b9NaB6Rd0H^kL1kUPf z%D_UC`%Cle3yAJKvXkQ97dX|gYj0$}(AGvznsdv)Wwx@Mh13T+)ZLYOByzEZ; zfk)?Dr!&aChvt5ARhMhWvx8Kx7Ccse;(O8k!DHj@o?q7$(p4{AQ3k|uiR=Y-}1zvWG-UAzvvE7k@ zF4fhjz~ABG{qE5L&&4I~*Sjd~j0te+*Vq83xW)lz^(Kz%c<@+#c-K1$-VTtXCslU+fAVjU)AIa)47FrUW?gcMEXhPX*5AkDC|qeX!lZqj~Riy?tvM>@3gX z{=Nrz>^g(-+L9dX)L)8odVo{E>VUKL%&$8v+4VuYPS?9{l@IJrzox0B)qU`<^b7wP zuv7n?zxSMTChTn88|xmewzRp2iRn7k0DIW4LV#1h_Ehj$0Z#d84DdEQw{24JW(99i z@YxE!mx8w{c$al2_fhbD6?{Jh-(SHGQ1Am4{2&EC zSiuib@Iw{+Fa^Apn8TZ>6SJ#&-epe{?m9bt^M`L?oPD^X?ot3K;zpEAe z8U?>r!LL*B>lOS41;0_jZ&L7^75o+jzg59+Q}Ejr{0;@bQ^D_2@VgcK9tFQw!S7S> z`xX2F1%FV%A5!p#75otee-t>KmtEbrb=0|EiMi{uW>@%+DSnSD_!A2Lq=G-C;7=>~ zGYbB!f8kh@b4A;2L=C8!GBWlpB4NU1^-pSe^c<^75onc|5L&LQt-bO{2vAXSHb_M;QuLj z(kVSnC*}J)bRD>mf_GBzg@M!cywh=igucx^(r9z{;hWrdyNb(EvWVipsDdx1;EOBx z5(>Vgf-j}uODp&?3cjp@FQ?$kEBFcuzM_J!q~I$n_$ms%s)Dbk;GGqGbp>BT!Pivq zwG@191z$(O*H!TK6nuRJ-$21PRPc=yd}9UQM8P*z@XZu_a|Pc*!M6lX_o>{xt!rp$ zu5WEAv=^E?+O|^swpQ>e1>Z)&w^i^i3SOkAm;3;QJ}~{tAA8f*+{h z2Pyc$3Vw)!AFAMoDfrPuLc9C0bVKQZ=-rCnJqmuW zg5Rg$_bd1V3jUyiKcwIfEBGS{{-}aKrr?h&_!A2Lq=G-C;7=>~GYbB!fnv;BPDVI|}};g1@KW?<@ER3jU#je*~O8 zubGo?ZF7H6+I<|}t-l{DexE4#rwaa=f`6{yUnuyO3jURXf34u(DEPMu{+)tT(ylY;-O;J+yNuL}N~g8#1Ie<=8$3jUXZ|E=KvDEPk${yzo(Pr>N{0==*1&K2o# zB3TGPh<8%(g%x}e1z%Lb7gO-X6?_Q=UsA!BQt+h}d>I8_R>7B3@Z}YJ1qEMG!BZoyH&pPA6ntX^-$cPTRq)Led~*fgLczCG@U0YlYXz@T@NE=) zTLtf;;MEG=Rl&O{cy|Tw0i1qklD0R!Sf0}L&0Y%c!Po$6nsww zpQYf93f`pP%?jS4;IkEcF9mN^@HPc+SMUx6pQGS&6?`6Wc0Z`4uA$ZadZqNKy7{oP zd0&@z6O}$>w?NU|Tfz5H@O>40KLy`k!4FXI0~P!r1wUB94^i+#75p#-KU~3&Q1Bxa z{3r!KTEUM|@M9JHI0Zjm!B0@|6BYa<1wUEAPf_qw75p>>KV8AkQ1CMq{451OTfxs! z@N*UXJOw{r!7oto3l;n#1;1FqFH!JI75p*%TEVYT@M{(PIt9O8 z!EaFT8x{N}1;1IrZ&C1DfwOhGv5@{Iw<*1Qk|eh&ezz<59SVM@g5Ra!cPsck3VyGG z->2aBEBFHn{-AH{3jVBuKd0c&EBFfv z{vvR8e`H3k&HWy}BRy2KB`+y{FDv*f3jV5szoy`?EBG4<{-%PzrQmNX_&W;zu7ba( z;O{H=2MYe7f`6poA1nAL3jV2rf2QD{EBF@*{-uI{rQlyH_%{mvt%852;NL6w4+{RH zg8!u8KP&hz3jV8t|EA!-EBGG@{-=WfrQm-9XV)3tbLW2)zke0{e+vGef+vfV_Cc7F z@^b|R@1)=hEBGP`z9?|EFMHQdiz$AKEBF!$zNCULrQk~|_%aH77D(lf^VhZTPt{#f^P#{o9Ejqeq9v2 zTEV*lXXmF}`YVgsEi>Iq_-#oy#jiVXHcuPVzZY58TKb7+55=#ig7;GJ-U{AF!M9WJ z?G=0n1>aG@cT(`a3cj;~*C=>D1+N9p>S0E!`|3n}@$I-I>96<=Q1F2YK1jg_EBFuv zAFANP6nwaXk5KTD3O-7~M=SU)3O+``$132(-eFU19g5!^1)r(B@B_h{-+`fzl*z=;neuMsgkqdlMg zK5b3Ie=XRx@mbsOU&ruY*YIBtc2@7=xU6sJY!K^+Y3!%I9c9XBXI6f5iDe#?ToH`w}>R zxbdAhdTdqKafaV`*jZh9<1xYTp9s4Z|0F|aS0j$ehW`}USFZGbP`;_j{k}f^yBx(O zuxQ!M(3uLm)t}uBooN|$_AqpE8Fi)`I(33hW3Ji#rMBW9zAB#a(gf8TI(b1yx~`aE z=*)y&tGfonzW}>6|MoO=X2EWaccY=xlu@VI&}o64?GxVh)@;LnuZ(fD8ai#TFIJgP z<3{vKl6J$dBV+q>44t{Kv-{f#&d zF#HdMoz=IvUmj%W931P2`_v(Z&Y>A~4l{HPhdr#%BMiSIVb{j>D8v6~*jYZsJRD=_ z92@J1<8qv#b9}5L#&d$9b7DrFlMJ1cVQ2H!JExvv_@8R{pJw=<4!bozXBawX#&LM- z$61E|*%{+F$Iv-9j>F66d4~V_uv`1&1%}RrMjRIz{uje;jmss5&ZV%2^Zqi!?{e6+ zd4GlBe^0{O>pXA29qM zgxwm4hYX#EVYkNN5ku!u*jYZk`SqCL|2XVcf1WUOo`hXnZ=N#zpUxP^GltHy8FijB zbe_+s^MaxCVyq*sqc0gcFULCK{C~yJc@=h6FW&rn&G3IcV;pZ7I&WswdCSmw8+Nu1 z6|dXgG5p@m*#3Kl&ifg4J}`7Xgx$J+`pD4vIAc7Y7&@P3)cMTN`8=b}7lzK48Fjug zbiRh2)xWo1eq;E53wwCq@jJusd)TdY_6I}f$Ba5Z89F~_)cM8G`8C!N*SFsco!>L+ z{9)+)8S9AaYM|B|p<{aDJ-SvsT6GKS8w8FiL3be4x*8{ZWS{}o}!KZ$#eQrtgR zGW=GCotBgV6-p|ct6TAgfe_-~Ohjx7zH ztzsQ9FIyWrRj{-Ecy+st;lFJhhnUwchE8=xovwyXw~RX74V@ktb$S{)ymRB(!0}Y))v5q)@1{*px53&8>hR%psN6g1aLuVB1+W3w( z{CA1t5c@O6&>0)+i2WI7=!}P5>(2zke`3ZsCK)=r!mhn%Hreo>0z2!6w@>V5_)mqM z)tQ*j-3^^-v5q*tdl))7*jazPb$PnsUzahCdP64LD+tAr7qfV=#(-!N9_1bRebi_L1{F!6u%+07X z&(N74>xlhYVCd`(JF7cyUD?O*-`DWp&+y+LcB@_vFmw)#6Jgit{UpQx zYQWfoSRYSJVWPv*x5LH z<8*=He__TrE;4j3&Zu*Vp>t_Qoy!cJ%QNa+Vdz{5JN_wM@AOQPs|>%ZVb{jx8pHou z*!ldC>i#-I=lWPjTxV}EbZ(4w#C7&2L+57LSzf$-_!h(eR>S``!~b^Jwe|T9!~ag$ z*|>=LyvxwJJJu2Nd5@uUFYH=A?=$@G<x8hR%Z-bsjQw9?q!qh@tantRs%oV}{P- zu(SMn?>j$X_&*uPA&&D?hR)Nmj@X}P44r3TXZ`W!-*bll^Kl$ve_k+jUd*WTlA-f5 z?5scD{`ZRE|El5tn&JO??C<6C4a5IU*x7m_=JPE>=k1I-?-)Ao!mj1>J;VQf!~X-r z|3lbWKEyiz$k6#X))DjiiJ|i;>{>oPGyFd{{J${#zcl>6GW@@e{k{79#_<0Zb~YYj z9=|hmzBl6d!SMevV;nyjIzPjXf70{Z#IfCyRP{{Ll+BU!xk11I%;5!ki+%$*GXg<)rT z71x%{)v zd2L<8e?7y0eZzl)*ndD{M_a*tQKhwIdLg%=;lEMr@AZFU!+#UQe^bMMGuW-V+T76D z0(LCN<$Z8V!*8pM?Qd=9RKc#*(Kd$vwi)B-V(3)EuB{VY4gYSiYx_`l!@q~&-_!8# z1-n%by$zi{u(R>-=H+&V|Msw3&lh(vbasT@>d#JwPT!0=I~zJR8Fl&@I<>HC`R#A` z56BqDKtpFxMxDWi&X9~cLk*o_v5t5S8*b=~h;_ts&`3jP6zo4r{StRv>R-q6Xz&g#xP=gcttXTom1r_o^O6kxaNZ%;#KRz{shL#HXDPP3uYl2K>2 zp|cn4+WDo`@Ndf)N4ufZkx^%kp)(hDb}lWx=ReQzn-4pySMU6?!0_K2c9uu)ebIdk z|9xR+bt=xg{S2M`GwK{*=o|>UHUADWbPk4H%j+SA|Dmv3c{$9`IXsTTTaS(~{Ev+N zz4|!H@IM-M)(>&tImXaAHjcyV$8m=L@fqVd!O%G|qs~c&&dIQA^>K>fe`>}!PBU~) z&!}^Tp>t-eBhKTq44t!KXL<3)`5eRl+}Pi%*Ygbj^9}zC4F3yZx9a^OL+9d*I+qwa zm%^@HXJ2OcUmnLHj_VbM&Xurh`@~g-|JAUwy70#J8pHou!~Z(N|9Zp!2E+eG!~Z73 z|7O@(U5Vpxi=lICtRt?+w;4LO$2wv>cNjW%X4JXM(779S>$>C~L+9R%@!V(V+#l+FV7h|&%>_u{{_SU#f)*hWazvs=ty<>ilOsrtRv3<*9@K4VP|>q z_WL&s|2N|}#PNB{(0SX4;~m5QUBmx9!~gx*-`n3lF#JD+-Kx`%44sc-9dTSgF?2r7 zsPmbj^LeZzj_((S&X*Z=zA|*ahFz=IZw&u$<2c0perM=>AM1#D`N7cn5q8!eukL;_ z{C^hWkk*r544q%&IJ|Y>H^cw;I1Vwde;7J{#yVnN|1xy`j&;O%{xNj^jdjF${%7d? z2Rj>QFTV*sc%!~I0=u=obTV`n&Zx79p|fa4oy82D#bMX-vV`HkWbE(FpQQ}{rD3=7 zx{RT-Y(|~s44vgO>a1YstOz^HtCyFR4F8og#<7Z_vudm(&coFVozAh2I1g7hbk>M< z#CX;;bk>S>#CX;=bk@nJv#z1DUPhhu4V?`H9ce$=(9qckc2T2k8gI&A6 z?QZz@$QVaYL#J0po!*8{AJ|#_d+%#)XZUX)$03f-4u;N-u(Rv#;&Z8;48Ojxv-rLF zx3l426Z?DbW%e`tYhh>eSFEf4hR%RE4sRVAX!s9;-MX(e*w7gQyVakehR!h9*|>Oh zHQewYkui>uhR!J1+5KeiJ=M{M|1Lrt(mpfB&>3sQG0yNG4?D}JSLYK9|B0|$<2uRE z*)@*CtJBGb{}kA*=ccRvd@8uQVDuO|g!+J~taWEwHooRs7E3Y(r-+*tPL(HT>IP zx5lU4(CL6(tCKl~|6CysY2M5;bmkjzEHM1{7UGbeTkK=#?3+<%KSO7K*tNVKVE7*x z$064JL59x3v5r{xhZs7C#yVm=hZ#DD$2wv>M;JOsX4E;#&^a1*Hcs9?c8uYFY{oc_ zGjxuRb;SIhVCb9}>xlV1$&e=b8)OA*4rh9&ZQZ3E(1@i%gc>+u7F(| zzbg&@s|^3E4gYIkXX7X4{aQokIwOwj4gVWpx6Y~f^LNRh+EK$7D*hk-ze%Fq|L+7x zEzb+XuKDB7)+fy0n(=tdc#t3c>weGejR(c2wNK||=I^ynb*TBTV&rjEBmULm zJc{Gl+0a=%qs|(J&YG}m`B=;FUmJF+bNWvEI)>l6u+w-sKQRyM89M93uEoEB;lE+* z@72>rhX2N}vwn#4ViQAWQ`l+#xO@yOw7OrZmOdMhY-adx4m+(E&cFC~hqo~NwuGI< zFOI`jhR)U*b*c=VZDJiUpW7NbU1A-vU)6?=d)2D=pOv3(hE8|bwL0x#_`6S#75~%x z-JgUl{->>5ybG-8UBM|xB4-}&>0H5md{~^|L}})j4*UYX4DyF=#0*&vx}iKCZo<+ zLuXv9Bd(9*4V?+FvvKmyr4tSRNpT$F`ns#3GZ}WR?xz_3yBYpd4gcL?r*om(H^uMv zPcwA(fSt`Baa?kS&UDz>xOnSPo#9^}$03eO-q4v5>xliCY3MY>I$}HpLuXIeSzf$z z`z*u1F=HG}hE6l=TD`Uy{t41or4XXLtqcDFAg>Q4uhSI zueY8ZZulP&`+M{LNW=dq*cZdUZoZ5g;SSSB8-B;Y&gO}@{vB)R90$AB|Kkn+6JWRY zrxOjGlj1nMJf3X$pJMo*YWSZ9yS8qgZup-8I~xyi-8$3IIV+>i*@n(Ju(NUX-X}TN z@INnO9OoN47r@Tq@W%B*!~Y`KSzg6Dzu3^ZB-Rnf=TbxGvWz;H8#-6SI%2=BG<2?l zUCZy)hW|Bj9AaLsHFT~s;<(=Mzae8BHyS!O!LH5Yn+^Y44F6jV|Jz_^>!JAG!|jI7 z9k8>y7susJL+38owS3%d_}`N;j(ZKA`!ed>Z|FRbQRhKJ=ONhHyz%z^hYkNnV7JEk zQA6jkI1X=peBAJV!tj66@P8`y_ww+x;r|TmR-Ha;=sXw4;a%@PZ}`8EF^(4votI)A zab14d(0K)R?_Ad_NnSPlUW?lo=l$!3&Kt06^Zrf4|1H?r{P61XZNvW^*sZ#F*U)({ zqt5$=&Ihn-{rS-F|H$zF*zo@Zb}JvB8akiFI%0i(Zs>dw>xgysrJ?gxMxCz>oo_Pg zd~4`@mr>_?L+1zBwR-u{@c#*RZT|gi`2PYss~2&ce>HS|%c%3aq4NjqT0Z_X{QrV| zW&G=|a|h*{;y---x1sY7>{ed>HFW+5yVjro4F6=I62XdNA@G)lUijWZC)l+(7B>7B ziT%C(dr`xGF~fgx!+#0bSsui7WJyD3DcH67vb5p94D8Dx&*6Q?Wexx3V7L0QyrHuK z?Amy)X!x&W_^)jEuL8T(k5vtw)iUaIHgr~po#n%;&ovDHH8aMsmZ7tDMxAvGopm$n ztY_$~54)C^4GjMcGsdxzp|f#DolOj#O<`yK@y?5z8UCBY&gQT8y~8aG|1IP8y*k^< z@ZTDCZT+b-{I`MKns?h8I$bjAR2w>7Vb{i^o8jL*V;nsUot_zWdKo&sVb}W8$MD|{ zc6L2Bs(*EoY;XAO0J}A=I~qDWWz^|w=tl>8f zcC9|g8~zhux9V%6p))C?&aQ^exmhX3xcYk8e!`0oKb%d2=jnKN{z z$2#J9zs}I9(bY{S=nt2GY57pk8=(Gd2t-#e3@_PEHL8O+wk89b~c{H?>y{l`0Z!3 zyT9Ro0PJi$#c?>$&^ZWp?Oc7Z;eSZRI1V**4uhT5gLm#Z-0(jljzg@6BMqISVjVHB zM;kiF#5!U;#~M1v!Or$2?|rS~4gV8hXV1aJ_Y+SvbWX~sbF!gx3hdfApKAD@2D?@F zryDwF7;&6w_@9+AjxlJszM*qLtRvR{g@(>W8Fel;bS}xLbE%RfH;Tm!pxzy4Z7=Q`N6yj*Yi-(dLPX!zd*yEUJ0Hgs+g zbfoV$+-m6D20P1#cinrt;eUq^hxGl1I}M$?;yAqh@NUEZ9@w>g{a(ZWKG@l~i0jGy zhRy>SbsjWy9*T9ub?IS4=MlsHXvTIPGjtx$sPlxO^JJ_ej>A)i&eIuno-uTujdjFv zc+Svy9(HY>yL+5qawfXvn;s0jFINmaJ z-i~#|yu4%RybC)UUvGTgGyLC&T|4)FVEBI+x9_dv9~u51!*1=bpBOry8gYDP_o1yc2Mx8$loj+q8ah(4$bpDQY#Bu(|(D^r`&i@RZ|1#<%ok};S;^2@Io1)!X%$0fRoGcxynSRf!@qMJhd9ow8#-%b)LGNeSqpa7A8#J6 zZTPQ~F^+W&o%LY%?*H~olJyP04PdwK%WY`rYy`WOhm8&YO<=dyqfHH+&0-y~PB%An zwt!vh&z6S&R&g9+oo;RDRKf0zt9w6u8^dqgjO}+ZbgE%zdGO|ISHr(s#yGkgIz3_? zaa?;EI=x~Yaa?*EI(=dtF`n%Vo$X=Q^1FlKzhfMS*q@yYoxT}$b~bcsGV1g*bZTK| zdGXfO{)Yd6I1X`q1{ykpVjVHRgAJV_8FhvlI>R#R3^#N}WYigH=!}Bhx;`Ck=PlY|)hjusorp4`g z`^O%Je-3u5zNQ;Gb+EJg5Z8lxLnj~Wi0i=&LuY12od!dv0K0boVNb(n9Q4V|Wp zI?aYoOGcg9hR$BGjyT?}hE7|oBaU~wq0^C3XO5vW7j|tP&olhz$Nt`YTwwU`4Lh4h zVm|gUboMpk*w66aKVuvR7&-@L)H%q|IXI)vA%@POv5r``hZ#DD!_Ml&8|Nbo|0836 z@BDR?;eRyj+Wp954F6+|_K!3CkB6PrshGzT44o5W9kJd|GIUOcosEZ=&r=NlQ)7Q` zJWn(HPlui5L+r;HhR&I=YvX#B;eR&l)_#7Dp>wVg$9abT`LJ90xWLf4P|%T{_g`e_ zTrB8F&+9KSbS{l`#Ja!C(78O;5$oj&L+8p^M~vqxL+5J4eofqt`1iiAHFU0nU7M%Z z8~!)MaftoB(a^am))Di6v!QcKtRu#AtD$pSMxEOYojYP3v0rx@I(NYy{_fyz!|xv0 zt?Q|K4W0X7x7LsQ4V?!v>O5%ZJd{!AVMFJUj5?1RI*(=4dEC%>BGwV>_en$NsaQv> zyQdAEXJQ>Oo@Wi6=U~_N(dP~S7ht#Q_(enKCD_?|=bbBFHvC^P{9iTvUxS^^BQc+^ z8#-^qI^y`gY3RHKJIjZ6PJ7$%eo;k230fZ0LLfyO!5a z4gb$F#__qK^F>CTFAbfqGU|M7=zIe^%ZoSvzBT;6i{lXI&-aGT53!Coe||J{eu7== z&(DVcFR*Lt;;)APZ*lwH{QceV|0DMI#^X=J|1a3B_3Up$=bu30U ze};duaOpi1YoA#NJnemzPO!5$yu2=K_%8xG%d41=MGc+BGU_aD=qv%d)}JK}|E1zM z#Cf~4p|eb^Bj#mULuWbIwf-z`_^)92uW0zM6#IL1y0YQFis8Si;lCQ}tiHtY=xpe$ z9_xtXv4)|uW=5U044t)M*T!`n!++h3aja+PtRL%$`Q5cs9dRGs!_djWu8se6!@th(uQ&Yju(N!K{g`3s%#3x! zb*914Da1NrJbM~CvtVa=_12k2!@nu^_v*CS@Na>g z>43_cnC)G2+PM;U%c8}?&hxAK0hp>teDo#PFi z6EfcBj)n-`Jj; z9lVrqI(YaeaXLkhGXT(e+xdI*tIGX0CH?PA@Rln5-_*ZQC{$Nf_b35p!M-Z&PN!c! z4kI}`XwT{N>u8QYyFPV%TYXTs*^F22vSbPRS(!PaDTegZ9F4ybN|P?}d5_yPWsS!DDsq z)eR;73R$m!GB4|0DeDohJdjs`$Hr02|JC4G`M*YrPpGqN!DHhf*4cG&eByk(9z2>a zZXBk#0%>V)$hS1-OAEzRS35UI@fGSRFXjB*2wpHA#4G3TCh(T5%+v0*UFxg4;{V?a zJJq9$YsByYZk~g13+z_@Zv~I#Yf`Scy`iP4r8!q$4kx)S;JLajt%HsEme~!3M(W`0 zLAx%lu`P{-){f~krAnH2fJgC%^XX35X`gjErTK=C?t;B@B|lS&AJB61tvm~IQf|2aEI;D--wPgF*GJ5s*HYI~S67VWKGXY{M2V* zXZdAzCy*{0?!V{2WA!s-?Ce}?apx#*pe5q-;8DH1cwD`^dD>h+rKJTlHF?2^>&1+5 zy%g|V|Ga&J&Koa-M|I}n^3EHt#5&@-@hW&!A8Gwa>&9!bo*38b;L-bRPOr9heAntX zfLr-~6Fe*5Z-GZ~r+JdjD{lwwx_HF%<~!iwpTy}E>*U=4cm75EJ>V2)T8Gj)_&#{y zI`{!_7QeU-eh8kn4t@kX)w@(=Ms;h*w(`-_bJUxG*dc5#U3+!_?U8}oPBVXTTjOY7|@%#WD)rX5Goxi240Cz3*BkXiub^WT?vG=8+ z{S>s9*0Z!8{tO<~z0(ud!(YH-c^A*2zkeP+X@chg|`Rtr5QYy&RQI~1E^PBT^4aFmtJ6gJ$u6GGp2s}0~Mz`fV z>T}Jx>A8G!xq>=@NBwnr;{LEOcr3r(zO@MKv|c)$al@*+B#Q!P>rTHey{1hZF?Muu zWEO*+=AH9P*RLv?cZb2;GFy1P7hlwTJ|P1ow_$qIpPn)eaCs;XB6 z9_DSOK!?U@W#HO4tpYpir#O#S1y7sDtHDm|nrpvwy;)lM=&~s33?7Y7+TXhL`Zc)! zv3eYrIIq`;^~CjR%~((D=UU)t{ahP%nt!gJ{`Cubx(;|W{;r=s4>NUL@Ti`h9y=fB zr>+M(%NMg(&d=+EXN}_q;8FaQxcr51L-1%{N#l~vQyYQD>bH1ZxpBsLHpv*zrr>FL z+6;CpPn!qr74t1zXKVo;_21=5+*h{*kJb^VS3AGmt=GAk#Y)%;c3RJz4%v$pur=(~ zxK)8?joUWh(R$?KDXtsa0uR@XF2E^1$M^Q%YS`)hOBa8>dCsWOV{wC}E9~C97w-3T z1CPa@?nlx6p6=k$IHvLNI~jDn)dM_j-|7iF%|E9jUa$8G+H?IA&#k?|3;G${-AIx? z;0668UU`4sE@)Tl=l0-f{oDa|w$B##@7_2^>@au~pT*cLL7pPTb%6g2(Pl z_N#Z>WXqhw^j3F#p$_c~9@UBKjj_KtRUhD-meft}`wivxDIhBn zIv>s~{WZ|G*)6TfYby zCxgf8K|HrjiQ^N`ZM((siQ_so))U8dckr}%G%eN<=g}T9 zhkvO!J=PQJqYgYa4&uD52anC8;=Y{+9ethr;IaM4 zyY8C>d)S}GI1X`qn!uy;iW?vAIYe`;Bi3IFcx=9j^*1}#6UTWk@K}Dtac<41*B0xE z`ECb~@{#U?{C-mh>@>gAb)al7?^a1N2Rs@Vr;{$z$=m>U{zZHqaJGJnd6^F$%X4k6 zqmkXKFUlngz@vGmt&@Aldg3~{PaL0E2m8i)Vjb)U9_7)+$Iq|j^TGb$u{z+qa>fsk z^n~ZQ2gdP<>+V6|S@}CS))Vu0NJhOwGwK}%9$hD2&K_)wRnpz^!~93m&U)F`vhQr}gJ}*scDY03Ov>nn&q5 z>xtk|{AqqX9xCx9@T_@!GI-iPa!N*>Q^BM7U0mWid0MO|?gyuX$HuRC|LqLmG%lF0 zbe_-Ab>x}gY1db0!A|w*bczes*#YkQQN+&yPW^NI(&Nd}jplqi-lsY@;5mQJE3Xsh zfk$=W^!PbEPv`aXV?E9*pVuz{PpiWVgZ9$8k@ky=z@zKAw4eOG$HhTAY5!m^_U#hb zS>1`_dntJA`m=N%3wDspz+>Yrp8qcg&pQ8K5$lQfk*@@g^5FXE-ABF(cGgdEpS&78 zsxzlktfy;$v+)M`)Vd0M%@S)K=v$9m%V@Coo}U2*-Xym#YPh9_aC zI&^uc*xhRX6zsGfIDhdz>eJw9``u2%$`(@x^{k)Q~-B*ovUxS_QleuNULdO4%E*tK;0GxQ!%lf*1DVE#OxE-Ud(0-#c*};(qxqcvRP}Ki+=% zUaTY5?fc+qb^8JAR-Jta9@V#2XCHw_al3JQ z9?q|yfYZ8|j=Qw4{T%4J{1*4MUx2gg*W&#&OzY%VrQP3vQ(j!Vg9`2KRfF8apKd*q z(5RUn_!V)z?ZvyJ^0p_jOkW zPn$=p#5&^j+Nwfa())L-fyeq;I!6S*GwTcTz6R{?`b2 zTK?ArkM=E>FaLfTcDS{`qj{U^N%!5>29NcV*K2vdTqkHZ?I(X9g7(XG!DI8=dk=O! z*l8beI^KJ*>%-3KRjh{%;&{+M|2fcx8TB>-kK%T5jVaX4%D1<-6@S6DaYmg@GRC!O zM!n54>TM1l%{Oh`*#bOm-Psa$svD;x-j~@bXwT(KT<^Ees8zjnCS{TyDl3$w5FKU~z^(D<5x48T_u3P7Yd-V>PpjYFuzT}d zIIs5skK!)Q^OP677r9*=m$e2a&>)1}RP?8aPMdy?z|JJorbxAxXtQ@*)ncEOeL7}!~Ti1{BIwBvNV>ymLn zJ1&kfmEVjOa^qoV`C)dd{v??I9?K7ZPpy2umX7vF%|>gv+VX6{5d74~qS+da^Ce%|?to)b<3kL^?5ez6DatbW|@ zbkiT0lx`5^U}yDHwx>y+4!c!9b>Ok_67NUXXVlAQ)SCgG_S|qL>{M^*{E(g-Hh@R< ztL3`@o|f-DgZ7F#!oE5yXwStZ&i_X6to%2DN8=pM-)7j^eZs*ljm7uDb9q;XEwED_ zoqyS$p5&jnA*^E}vDp6U5=F-P-ZXL%-jaZOtg$06=VdxJ;$bNv$E584Mjw*HJB zGp76*f@ELVDPE^DHt$}4&o{Rhe-pJI>~w$C<=1^TrB_wWpsM0Ycz@W#_3MB@*ZGZT zaX$d9>nOcxa3JjLyi|I>Ki$`wa^)|M90Z;jmr}MtkDZYn&JaDQjS9jif*eAs8d+P}8eF0#QP#=fye4uyuWoecx+yH-%&aTcI&yq zx!}?B3O8=W=L+WmXX7QVf9He8=7G5WT>zdnuPy|S)sc6-e^JJ`E{@|8uM;i-PusUH zjdjF*>oV}zxbb;X-j^>2kJSO^mCw^xfM<>0mEeWrcNK8fuK|r6ZRO|VSHn)fr*Y#x zWXSX+xhD2w{moCk7Irq?%wE~YuQPP6&!}?)c&rY^>!usQV|f+l*G=HDb;H|-Z-$+% z$KF1COU8I^jpGs5vD?67H2m? zV}4#CN$wWn7}L_0FQoRgYH@zM2Rxd;;eK~7>@2_Des`bYf4|}X0PI%1JP023H(mGm z^S_5+r}fqKqjJ6C&dv|RPV?RQSM23koFtC~Jg38-8<(FiKMEeJU(PEh_%ZNU|HO6q zaqw8(i0kqb;8}I^WUMEicbgTV!vJlkM&Djhh75D%KOXUv2hgh{t9?hkFL&2*Rj)!cNxn2&#SSXc)j}? zcvhXg9_xww>>F`>yuQox;7#yY{y48Z58jI76UX)KfS1lw>G|n9;L-Sp^Zi}eDZko$ ze-Atwui`jV-g7CxSN=YDbRKtl#qTbC0NkpJ55bGh?RekjqrmRs@ZKByIIz3+z4yjG zft`)NSnr>L$Hq&X$Dai}7mxU!;OF4ce0On)?+Jd9F}^Rs)7JT~VjZ!Lz6Ou#!^P#T z58uE}^-&ym;eOM%;8A@z9dZ7B2OjN{PLJ+S6zB5yaXe%%?mj=j&dxdB@9chrJ-lD= z6L4$Xe+JJQ_g^yV{hCqlw^&cy|9%IL@+`Idlfr7FD(KdtNY4(%kF;VqOh~LD|WX#EEcq*&BMjPWA!1Iev0uWzvMhLX{&sox?!znxJB@>upXG!0v~_9) z@Mt`oo_GDSVywgL!@T~P~Rq(X=yc+CUzdFNCd%fm`!pEAX^=v30B?j(Zh&ls}hWZ-3bacIvOoi+5jqTi98C z#qaKR0gu*&Vt$2lS9Po>uJ>KR)ApZku(N)7`%ib+t#RrBUN}xYfz!No{i*DeZV%}N zJM}lMf9W}D?|>K7UHN*j4|u`86}@l29e6YzfnNE#W_$2xTwQ$L{N8|^^wC=X#j2gPxT{Tv*}HM%j^?7rk*d?Bq|Uqis7`Q*kiy$&fqSR4ww zR`0`tcC>mQ4j!umasL^>e*u6Tato!Bs>;fJe zH}QGEn2dU3GwO{4kM(ct;2QU%p{GPh1c7 z0FUzF;_~0SL}lf`qj5^-jr5-Rbnw``5%=@DI6mD4@}5&3cFJp-{~X?f zN>|Ytu+zM9{&ZiX*t40i(|Y0j$zEK98(^pLb^hLbqUY5G@TmTsj<-+k3A>e-SwcJw z?o&{?_R=3%X^i6$pWiouNBws3c+c;fGwQT}M{zry^nB1-c}K9cSIrK1X`ZCtckBfo zji=M|o|Cj@)M*2c>Nbt5RFD39rS0HReYm*Tx!S!)1Urqd(_!}VHkZr+&zg60V?A-+ z%>$3}>f#djm-*na`t+{57D#ak`@-Jfv3z-TObg6D;IVx1btu0t>~z1u<;(kB$9_RO zu3!E-f%Rm6@T~RZ0PtvhoSs@6Ts8*b|UO7|6<-w0xzf!x*jUm$H{SA;`}@XJgYuVjpGyR z<23NBaXlS8ZQVX2V_au~7oG#p0#5l%>x=*HjP}{H!K3@guI`J^xy}L3`XQb>&IOO1 z*Tug(b{=@axY7OB^0=K39;?d_b*-o&+6~XLA#as{Oi6~z|-pRRoKHid@W-fug7tS z*9UKaN8{u2?)`q04iayIXMHE|E$~>syz8^KgZ5m0xSh%~c?UeIKNpwxe!;u2v;2(h z(zQ$P_kh!QIzRC_-}~T&&m%qn&c<0hCwvGVt3&a3o*#k7^1;sG`KcenPWeykuk!Z- zE7v!lfJfK0u3z5!EuX?3t{a~LXZ;cPh0o(SiuDq1^k0C-`oqUB|0V1cr|XY*{ry#7 zr+)M(-G)uRhCS@ZH^8<1=v&w+F4wNNAAJYAw|)!j=l9^zI^=Z3_45btSYE|C`4K#- zW2ficANeV;yL@=(ub*M3xSfB+&dy)IfJb%Ybj14*zk)|`Lod2t_FKSndSd^62T$wY zAF$K)LfSv~y@KjqJxc@rC+utX)7SBWf z1J7Dl{sWJ#E5-M6695#ii^rQc3&F0?r6`_@Xa zo;ZJ222ZPxRbXdz&-S)$%CQ(oOTdi&kFu(Ns<^R*s$+WNhIMx6}|oeeYUY-H$c9N1l+EBm3l zU$F`7G_II0;V~xJ6g-|^{=M$af_BpU^6zzT4!f1#En*#S|KAdJir4k0R9~ft%j^19 z;IVlk*5TH1T;jZ~0*~zz;`PBcv7T5*+k&UnQ5V=L-!7m1a_R4au_ILn{^7WGg`M)G zjcYeUr+Y@79^h&BpLzy%7ms)UsTb@x4y1ptdEAKVBxgTYt-txHJHgKCj@c{gb6@aS{NC@AcZQwq*WT}wYhY*d zNvzv`;A#5}E+Z1^&!E~-!xt)o{C^YwyOhFpKqm;X`5~U8XdEd&={Ps!Tbo)M^X^WG z`!lTR$8g<$_-tlE{X_jm=We{FZpKG-WyObdB{c6`e6)@gL!)yyo3~^y&P*Cl`q%jv z&soKfF}r@zc#@9mSMl%Z(R=@7cYdR5#@BZ1HKUl0gyt3H&-oP%6es1$`H6Kv<4^yl z^~`_INd2*Ns7^E;T5m|t#pCTaH15R1xJLU8jT7a`=@jqx(Q}?K4|IN^e;r>uS5yCJ zeA4#&HRehm!*&^^b%FkMI^z8hy01g^lIF8t_v&Pg(r}gMQ|e#2KarohChU|4=f~`o z^Iye-~E~SwFyC z97SXU;FR~YAJTgy8-mCBA?~jm#d_j(#m3-Ky}Ee3_lq}yo%-wI64#+k!J~QRbiDU& zHjCpC`?q<}p3@QU>uv#_RmWS#dg8fwEAXs(-WohwXIy;6?|k&?+P!CLs)9YJ$LP8D zHsG;w6!(E`!DDqHj$;?_v~jG4U0ZLu!cK9!epS|^^6W^GZgD)~ICck*^-rwR9^hHy zSWK?tQXRVZ#BuBeJ<5ZtSGI2Cr_%nybeO%euHf~}^1iCg$L%uqb9?Z#b!7+GSzO|} zvLkpj&soaHD33lp#I)C`{v%auf^|W)WfGsg*L7nJ|8a)@ zc-SdUmp}12-URSyUvP1V&+#ULN9(846R)=?fye4jyx!h5j?bSrm|v5@v*y)^Y^Zg8epe$ zzwqN9&bGN${1H`(4Nx~<7xxXs*iT?wEF1C zs58gVnG3r$Zu7vi@;*OfTnmi2_J*D6#EoAO*(boMe)a`U>xARe{et33w;$|O*UpdZ z#nb8ju+uv2{Kf0h1HcQfM-K!}^U3)azkhxZaOwxedoXZsy%(-K4*`$%8RsuvcOD8J zo!ip*`StK&u(R=F_R6{S@Swe-&g@)kdwCLj~g#^Yz4xIwyh0##?;udop-zyuJ6u zPJx~3(eUm{70)|ogJ+G?IpA6OJr_J{T|5swI!C+ydVg>0eAp=;T0buU&+6xe0k5c6xldf) z*DeB&>fXiW?Q0jqZsqHepgpG}-cPv{JX#N2T;lq98F=A5zZ|%g?@}?8RPi?yjAdTT1WNy#>SR8h3Tz@mgfIs>?*^gI+o~-ySuxG1ef@-Sb_!! zBq1ajmWAE0LRJV6cXxMpcXxMpcXxlW*E4f!rf%InUtNB@%{z7Kbal1fzA`d#eh9nQ z{vUxS@fY@R zhoBc7|H&L>qSA|w+d06KeiHOj*B5ib&c@wbu&aEh&ROR+`o(x%wm?q*1&RMcz`b@^7(6yFFOpMdQAcMn*rnYqW71U2T$TJ z#udANyF$+RRs>J3r-EMTyroC@wqEhyN~XNxxQyM0SQ$Ju4@LJ4tAHo%U94y2J8xnA zSrv9~UR(`4)vv1Gs|#_j4!g{opt^+$`Cc!l-umE4{KbBy=d}$?c_FUUb%xx}+YmgpzLvg=un}-? zUfLKuHZOI7-OJA=;Hmkw^m`DS0+)7R_2>$o%17$Fuba^?>h#~KThbl4-B%Qy-7NY6_cQJaA$c_{X?*!;CQcwT?m z!jv2IqSxbFf+zEeY4^%_-zuw@>gRGjy>-s`wgHdz=bEfe^!%hhc&cAS&)aIj^V(qm zcwRdU%o*RHobe6LsW${XHGikhi?)Sb##w03(t5R>!9#y2;X{G5bq5cRSDwc%_RGq; zRGHZJI-&CdP1C&?7xG9Lv05@TwXUwS{Mf$$rFn|L$NukQh#iC1`) z8DkoFUi&nGr^Z!j9h2{hHp4FcGSs^|KZSjB3+xhisDIU7i6;CGtKp$NB<@OkOb5@a z-=1+jdAgyZ*A~|kUM0eI@MQlO;wzrp_vkQqsNcZxU3>NFG@P*M&iu~~N zpe?<7m46y}FW6N-kB;M+;IVN$3w9Zwq5Raj#cbGRJ`HiC&I|X>8OJ_O9Q&GbLL71( zU222K&C+@93;v zdcTdD9s{1tQz5=I4YSC0E1Ivf!IOT& z`olTksq4nl_4v8KRi5F=lk^&FN0l;Gi9%y|6lItT#-}fO7PTpi(da+ z1)i+qA-|>P-L3|%+B^C^#B0Elc_H|h^M;nb7Iv8zLSCx-ovEp;Gf!0++y^De`-H* zE9@%2(RKVb@KnEv&O5goUWg}pU+j)-T&erncfzjn9PKxEfv575x^BKZs}pUndvfyb z1y8kW^!(_)tX_1TxgR_kuc3WX^X~(&d+qZecwYNFWO%H79tKbPWr!=)K99hz+9#UV zM@@Of{#)p5!alw-4JVI*m#Sy=K73_fe;hoO|LAq!6Iney|5x;$%<5@gCBUb^^XmI_ zRxjE=p2@}+9e2-y=e6r|;IVn&dDvBZrsjbcOgXGyyqMKV^^2Ea_ww{IcVEI*u&Z%cTWFdbKGe`sUzB(Qc3Gc-f9bmM zP2idJ9M_F+!7ld&gJ0_V9dE;K*YS6N%l<$3MW5$=7d*93DxI&t2VB}a_{+Lc%G~>~ zOFoL@Qh&$h1K3qNM(3{&!PEV-srWM&>18hY2)xwzj-1bZ9MP*Q@=8CaQyGrQC)xO- z>%*tusd}c?htG^X?_srHY~@85&R#_FFH>z0G_H} zYM;5FDKGSc=)Qd+Q(lOxc%77ao^4_9WIPAG^tz1odlB%YeTsUq`@4&pa*O>m_I;Jb zz+?Sk@titKI66zh?)8VIz+?Sk>1;gF_FKl37xEOnf3hriGG7(*9=@yEb2;F4pRqh} zHE#9q``cce7)6~Xp zeQ_US-JIpG2cDPD^}&;QB;-?_AJtFXAgiP7m2Q%32%ee;qy2uPtX{O=Zw#L5$I#C?N3{Qr}7&P{UBP;f!X+? z=R$+PllBUF(ev=Z;Hhz#dT(HeDX$n;Y@fSrRwuR3-41rI-wrk9vGr*fcwWC4p4E%y zYedfYMuI2fRmSBg;A$M{b-uD6*d9D-m*B5?m5F{dc;0?s40v`wFc!F4cT4Nu4h9e9 zm+tS611@oec24gnG2@O0Puel~r+L_7?+Bi(ujqeWx?z3Y33i*uoq?-)dUW--CmRbB zU{~{+vRC)_yMX8QkBQ*1d1Kd{I=eYKyBmARNBRBFDNXe=!&yZEc2%zlqg&hS8;ka0 zwI-GmHwiq+f6$5U^XkA;{i1Xqa58W&FZJL_e+cayJ&&D|GoGp7srp6toekirairJt z%DUf}jZgC`9bpgfRDGlSrD@=)=kte*t*!0et#5fp*aW+m_h#_CdbSu|XvgTh+6tbU zpHuVdblBB+QTvwqiF=xIit|nNJ?Lt`Y6H*9Q+rk~y07d2Pp%7!{at?#yc2eH&Ls9y z+s()s&t5s>nVHp#uCKGe^ZNa4@Vx%8cQ(Fgzu(93LcXHcTl<11c@6EEy58CkcGe&E zH|4PYZ~%DHJ|Uj!ecf>1_dwWXoCck$y)yceZPmP;szd8~;w$2;{JInXcuzUGF z#*`EC70$b>zn^_9>?+?CdofAJ!S2=PcvDVjx77Q_C%`WARymI9x%`Q+OTP&IsdM?0 zV3+m`{?YyG$>7;@gkIhIbuF%#r#Nw(>cnvx?A|y(9X!=vqT~Dw@Ff4CUa8-$ITLo- zH-)^Ue(&k5objBUGoEv@@u>Y&W8vJaj*M5DHD{H;HiEUorkUj&+DgGvAFOY)zzjvmj7$OQ{y+a4qXeo%4@WK*O~G{ zUZeH99z4~*qSxCufG2qfdK1DA{T?==*AY;h}nBY1NC5$ai-E|QxJ9{fxA z&A?TC^mSY1`tBC+WZo*4KdOFmYy0$uLizqfc_V)-cwT*O1J650x*a^Jcc@SFy5J7* zRDX)jQ+H

  • _;Tfv4&ly-v70r`|o_vH9WNtWLBa+y|cIgY|>^!Bg!T?WYfbr}7r< zrw^KPSvx$G)r+>n!#U%7B&!#V?@{n%+=lq7`>oK^AA?=ir;xX*J&c{lVORZjLiu2^ zP`vFNZb3B_ii6<^!wWi=7SxjDNmE{kM_r%PPkah?m3L*wU=DFV?dUv{Q|DRmy#DZ9 zRxg_G=fP9?ijJcfz+?UXMN?kLQ)+)J?*+dEo~(Bv@2Ts>mtmK2!TRSb;7J~W&fr3L zs-iN9mS)8yc{OKTuQ_qO4!g=zbX>myp6rv0{c6_C*1FcZy3%IkP1wEqy#=1?SJCtF zx51M36_W^I)odN}WCA>|O9wJ)`~MJ@8n6ct5Ak2ae8%IdwjAbUub%<_$ZJ zKY?B4J35X(1<&MLo@c4#`!n!NzJ*uWn0^kPm+vpYWBL9Pc0F(E^Ng=xSN$?|p7C|W zUtb4*1H0re^y}2T`z`DyFLM8-l9%tmGkFnSB`@C_UTClMIW81`08hqKh%3#5;*YWT zBG=VFfv5UGbl&_KJk@T|bGu)_Q+Z20pYf|H&y3&7`=7so$L7u7VVAs?`gi2}!he7# z=k_6A(f5!3%<84{iv0f%JTL!$8D5Aly8rtdJbNzu4{(+5=)CkVc#?-|e@H*L_#b%E zE~R`GKdat8y|JyhL%_yc^@HeqFb8<4ejn*qb7u9T{c0}oB%dr#b7%FU`?Gn#lY9id zXgkhp%B|*2F8InT#C+hfyv?7DE1I_jz>|Jh%zx>ILvfo{nGGf;3xcQmL+Lr#g-kiY zKee98eq&+q*tl5)cCY;wHRXl;MB8sM@VtJyIC#=7K`(k;vP4!dI?pT_i7)oN?o!~f z_FFou6K%g`!1Ma)vZg$#r@YU+9PD2Hm(Ru(&HoBH^;XQrHN5!7r)<<#g59g%%HUJaL z$DiWwPnLG%>i|gAqdMX%`-FADllV&YsPZcNg!N*2k@7jL;IVPLNmeI1Za2*tS6A@ZezP0w(qBWK%ID+ZUUBhX zci2^aQs?JAVE5+#p5WQ}zZYb~umF8#Of-lbPKoDKgrH|2yp;`;>U53g+jJN{J0(Ut&I`O*E*R^X{|g!MnYAKE&r z7rnmS20Y1E=&z;c=4*gUe+l(SeLuRtu^0P!`TNohvpNb%QVYA+9|nMD`@=xsDj(7K z2Z5)qgHqS$gLCQ(0Z-P4P@m}Us&5OP8Yg3B6uS25-mBF7$#%vbbW--A*?6Ms|1j`m zJOrK8b;fYmr5}X$iS7eOfT!w}=3(X?nT;#j|3-l){UXGbx(~NK?6Mvd>mPeRcQkl1 zovX}ChkCYEpV=yhHVHh*YtS3f+TIcNgVP&kg-eq9LVan#)`6$iwK5Mi zoScm-+E44jWBqgr>|UOxg2(dIkkyIKAC2HiK0}_O&&})sp4acEW%Z){z9}1Dv_CY1 zC+!pBi(W6aWO>E>XZm5Q;T6Y6>irb-?CIcn^WmQ0dF|C^$}RTC*!Kh4!IOR#;*;~b zQe+*l%lHmDVlVZ?PS~YAgMYLi&H#_~!@Xel>NOKQ)(>aFF6&c>NA1VzC(edl;tlmt z_Ue6!atDk z4+5SVKh^$OnNJS}&&&HE;IX_Pnp5X6N9XXYPIMkQ0zB1@(Rt)Z@bIUS&!YgS{Er;f zzgO?04Sy=GCyz1s6yV1iT=>TsT=>TuT=*v#T=*v%T=*vemw77i^|@S~tRp9bC;d41 zYhH2+>@x2Jo!Zv6SuORG3dN_T8VgW56+Fpz&`I$+o6Gym(@c3muQY##FI<(BPKRBt zQ-V&-l*TE=ClX2mXJq3Ek1d4v!A(48f`>ne~AkS`_vmjRb~BgC72zNDDxaR2*q@K!2!k77I37Fs4ZPA+tGwy&Og zBBjK*0(^PyE9egF->qx6@>Oh-TuI`&%HWc}s|_ysy9T)GCwl&<^pk51FZhq?sBdZQ zXbT&*(nku~OL1QZo;;rt${!V~*kpUa^(3AffXnkAb7H$2;~o`pV8Vb3-v>=&x3Ik;vO_U{P)Aa<(wk;_3RRkbRGe& z@>Sc=SiEoy4`5BLgq=JJo?0I?FL@01<*Vh|`*_9NPkbCaSx<}c*MxEVM9wP^~I z^Z8Q-m-c$v;L={t7+m|!8(jD=0Qd6oB6v0*F9BEmDRq4z9ro=(_uA=W;{S=kCEiaBF7bW_T*X^cS1-TXTaEW~;{S!grMxc< zF6Dg%-0R0*gQwP=(z$W3uDwe$!Z)z1xTEXnx8TY3P>5sLtadaeIDU(n7>(OVaJfGi{LA<4y7uW+Y|530-^w}5U4{6s z3S6~swBD-`|J8we>&qJ8$-EHSv$i30jF!e~8x-rgCU|OJQaOh#=5Q?%$J)TX{I3I^ zT)&4nMzn_gH_mDs<$PmZQ%-1)VtC1V1`qxve0_rpe*=RHe?x-{e3ci`8yHW$h_X{9rU$TtN~kN-lmT+Sv*SJ)+AK_`0N(T&8>-QW^;4}(kGJq<4W zUIrI_Z{X^DB>g+3sB0haWF8FunwRv2UGfmh9XY+Rqq76^M?ctQ9uNLyJFd$&gI(qY ziF*3I9ef+Z z3*|@0eGPajZ)57G)_35%Bk2#j8h6p_oLcZCKT@v&z$LFCj`F^uaei zjfP#-C$+yAll4#SFUG>I`t_J_cwu%qNwNcYw*QO+uG%%)kH-`L9f7NS4wkV}*@TDo z+zC8cpFCY1lF8z5|;HuvJ>l^n7C;2UP(_|AB;@XY) z?+#qW8*Tprc+$Sr_Af3a?a3sgFLBoyT;iS#T>5w5r_LSfiQg39UO$;i{2PF)eAUFR zyBmrB9tM|sPBXaFv&rDXZ#KB_TMRDzR)Y(FI&f7V{hVKAh2IlAHGUN@N!nmn{Xe=- zXwT}D_v4L|O7lPm>|XnHf@jC^41-Jk_cFNDe{{^`NXTsT-3=691!st9h({TVe97wuZ*p#h=@efp9eOKPKxRowtuA z{>K?y>U+GwrM@Q^T=*v%T=*v$T=*v&T==H|SNSMkXW>KJl8;ltQ}epwwI`>+&h}-e zlk(3nxWs#=!6n|afXny{{M7Z{*|4j1cT9MrrnNm>%oNw%b6{8VK>4}J)=8aBVHXj0 z#zk6kE-C*!;Cc6T=M$X^fXh4^>XACPx{&x?WN^vX#RivrU1D(IUutmSUk2Qp-!C`3 z;6G&6r^;(jl54U$ zYF@9l`?cUn{|Y*a*V%ksRwufDydFHeZruP}#!+aG)PDX(;&+q5r5$fJxU}Of1{eOV z1{eNqz|}kuJwLpi_}>9s#$6~cbslvm@w?0566f6pmpJbMuKGhwY+rUS@xRaDQr`Ur zm+~F}Ztt%?2wd(D1b*rM>O)3H^dC03=syD7I}dvlJbT~pF{3NxJ#KI*?+M^){Y;;e zVkkUG{GT$ol=rm3rMzbhF8pT=F8t>VF8t>WF8mh^F8mh_F8r5(t9~9`|6eBluK<^M zCX|<&w_hcGuNhq8eBIy@=NrJ~zJK7?4Bd8o-#$Id6YHDA?=6E%Id2|O9=9uNM--?M3KuWTmEalHqg%5UlUq4a5elDtpi`M}^3|Az*b_&)+JaRq*KefgO9 ze*#>^8=dz)CH|jf{q^^3itAJ9r0sL?q~C=2)n{*#FT*_O?;8NboIm=rGJXO!3 zg~sqA5$d^WPMy`jQ|pzqOX>V>b=YNmO8jdWT;g97xSH3a=Z0%#%N?!nFRpF$rQCH4 zF6FLkaN)0KaN)0SaN%!YaN%!gaN%!caN%!kaN&0`xbQatuJSgzv2I#@M@M)BR62JU zx0@3GuE5oN6rFFo5&!N6mw0;^T;lC%aN+kdxbS-eSMyeMo$5pU`vO<>8`=>b)UdaN z`Vs%lfUEhVI3I>zl1$(F-W)tN9?I{Nb%fWQ!pYJWu*-TL>ODL>Ek848m6~ZwQvOy3 zmwat)aLLy;z*W4_d8dZ>_Xn=}Q{}#t?oYMg$@P3Fzrri-^asGM+O2xtGP$ZW5ImK) zDz80B2EnfDQ+_X_c~-ctuLunWPv#rR#}I={{9DK3rS5a=Ny={nuHuhAx6)4hI}9%Q>NL3IYlgvvzn8&< zKNGkbujSuG4KMVxhX-S%OU?pM&385J#rOT1>dVaHA{74322a&j-LDq4B-xw9vk!2U z=hX8B`x3wXfU9v8J$Krl_#XgV>KF1B-47oKo?bune)u5R)%8d8E_?|pc za4>k1r_dg09-d1(#FQ7}N}X>W3cH=>4>P#*gToCj{on|L3;#%i3;!tKYFtI<>7&6@ z^&DH@6gpPv!+IefSSgP&A$>732+2F!I1-R_b z0zY-Xf`2EZ}NV6TfqSt2m?c@VUhQJmB8= zJfHYq0G#FbLgIIk!6iQz8(i{p32?8Tmx3qt3I5S@y32CvT~6Y;0=Sx=2e!@XXplz= zWk$V{_+JHF_RXRGqehSJ(yeQGx=yYpe%An3d8moq*SnVZUzhcd_Lu94{|yG0cDvEw z(rz~aS9zK+w6(LTK72{Pt#M{4O~r%%n~DD|z`c3-qn7 z*wwjr*^YVt4%pTF8r`?t2_D(;|0jzQNd=j~ZP16O zJc+Z|uj|4r(~N`4XJA+TD0S%d%2)Hqj>R8bXsIu5|8V~OK{l@FJoh1Zs$Z1im+uaI1iSP* z$;ZbAmwbGZEjM~!@l)de8E_ddp}f@f;OE5e3xi9XUm9HE{0g|&ZeN3^@-t>yeOq(* zDnsd$E#JVd#$R+j{}w#iXN5S5*ZJYOg7Wiv-(_{G<5P{}@3Zk#d0`y?kkyGk|NbL* z(yo%1pA0T}{Mq2b|Ha_K|JC5a|IOgS|J~ri|HI(I|I^^Y|DVBy|Chmq|2J@Hm%#7Z zqg%f&y=%I6D-N}Ph~K}!)x144jKI>jWAqJ+|G-oINAW@dcu`y0LE@dm;1chg1{eNZ z1{eO^1{eN31{eOkz}0@Q+`r6y-TA2TzTU=zetp63>FbRi3MxCbiHm z1fI;JAs#h9R$UebPwhve&xI{Q;#m~9SD(d*|Kh;a{Fb^-T*BBxJ;FTEQuz|Xl15kB zb18#MdoFEo;V)xw;V%nZ)i1iAT#ooJ58T@itU&x%G`PgOlEEe3m4T~xqy1|Y;=iiF zrM%S)F6FImaN)0EaN(~BT=tQHpL)(=E!buL34XAb4{+Ab`q#G3Y?Rw=$vRp8nms!k z>&mNBlB^56%8&ZaS9Jib2cGoH5QpM*wyzJnS}$Qw-@n=*t1~pbSl3=UmhYcRN!`PZ`{mKFx!*1u#E(VwO*aWyY zpKJ=AH=lF`Pvxb!u45ZkT?x98c)A;0`cn^sOZ+{7tNw)Rg>qZ=f?f9U!B6a^g!MMM zQeGc}OL={PtNx?z>s9+tKk(E#r+7)S8SH9ZiQb>z96V{C5XZR2wyEX!NW;guK)=rovRFnUG=NfxylgORlTD33AP1K+D+PL zyPW<*iT^NzOTQj&a4ByDaM`~Ee(AcW^m`eVQ;#GW37)F=&aJIen_7zxLxg{$VE5|1 zJ$UiO1+1+6Y<{}xXMrT zJ?07E$vhg$FTH0IKFKmEd<>)Vs?9E@9EpFT!6p7(fy=rU_^Ip3-C&n~AN)qOhOgV< zGCJAa=t_A7gG+gn3@-dSgA0E$a4A3VQ}?0jiQg39lCR(w{odkK;@@C!iL=q*66YS- z@}lQv(};f)a5eu%_i4@Gsd-BCk`~xy92M&wPSc8CQ%pTt+X|k{i=iHP-l<)_QC(U} zrh}*Y$EffTsmgaC_k>;T&&GspOl2i%gI)FS>R?v$c{_MAt|hM>2A6i|G`R3*7+m;! z8C>`?4KDmy1{eNp;HsT!V)rNZCjR>vT*}+m;8Nax+47>#@$66h56JrK{!*FA4j9ZHjdP}^bxSD_KW7@ND{|U**K#6 z*`ta7F~HTj8ol3tEO_eq?Bag0aYo~e!pyL)9tXS1XZU^eCi#G2Wn+CjiQ@!=OFul( z;L;CIGPv+hHn{Ll0j}bUet-B>;(r=&*(ZkbQtv&TPW;X=xWsv;!6nYK3@-e$4KDn1 z3@-e04KDoifXnJ8eHmo8E`e9xfFI^Zgw(eZmdc(QJW@>Ac@xdC?7zR~*tH-e|;f$%<6IPR)zEqxLF zrmT*dcdG~EH-l%_*IR(={X+3Ok?rQA=(iI8+kkudyq);p0bJ!F+RyI`oTTfa-;dbm-ydja4GM8gG+f209WH8x(|Ag_&;QDDeqx}OL>m~SM3sg z9_~@%|Cqt0yvGeL}uRZ_oJVa zIKBWb>r{w4^_<9;#P2KMD*os?|223rFNFF>?>l`1o~lRmdi`4x&vyow{C{t7$^Q=q z7yge17yeJc)p)4>?s&DilApm-{i?z%UQqu6yQ*h&p8J)=@teUV?%xeAasOd(;s0rH z;r|b~iZ9xq{v!T=XZ@q=`9H+}U*KxKi0;q+15ceh4llH~H-?|6C{8;`f(@iy2j(!i z)O$|g>Ut%5{yrCYYW*p{|Ahxa=7wF5i^{t+)#)dhhr}_j!KJJlDTae4hi)>uvzM>R-`ycth~Kb$FwkdK>4|>jIwiYiYkt3@+`rslkQc z)!@SKW^mzmH@NV77+m;04KDm%z`c2`H}UUda4D~^!KJ)@z-2rHetG|j6TQt~SN$RN z-IC2=SN%V_es4j_-_qa`?^Xtvc((?w`d{?Ab{p{G{jcg$1D+Z$srjNmiKEuw688Xu zOWXquF8o0T7ye-2sdiDHiW~yFnom;eG?c8TtbwgXSr!BD>D$?g4QD0nLG(Q!Wv zym;QLF2ljI<8*|HLDR*asOSuz(t9}t(XLcd}6Adoq?P_o-Z#UqwUIl*Ye(LVT zuK--PMb5>KnaC2!LWE_vG%xNhgzc}*MfZwKzh+d=$0v;MV(HrWnV zZfhkoz*F<&;BebH{Gei8p+g?-3)eM!8D6OWsO+zOCdo`wZpa6|2V49?fAzd&7I>^* z%!Xa&QOWDxz`f^0_96cJI_2(1{PqW~+Oxc$C_SB0o!1U9ybyP|-xv~^dKw@}4m7-w z&*<~72a$LV2Cn*tUf(JK9YXvMHMsQW!wfEYKiuHLKf>U`KN7f#FM2+66nN4Pg1_Rm zCr87s=GpST9W^`#cD0X7?dy+)UGxARMlldm(A$mT40(ka( z{zTwvUc+;f>F-CJ1fI%El^1@f^JLgny^y!^N+Kit6!7dgIyD@0#LqQhD?w$&Ijk^|*<|adXx` z`hL_c#Q#=celYMzIzNV z@!e~1;ooO);olEjX^`cxQRQ#l0 z1pnxLG<s8lZrH9wltH5|8zlc96J( ze`+5o>xJYel$+W|%07$v%X?_dU;3NGCH0l(9R!#9u896D^$Gl%*z>U~foJ_!2CnlJ zZg+RIg?E8f_f1v-PwExQPu*vg_ouW@>~{?1eR1h8L1)KV#qW|emQUDMM>(oKcptJz zsYbL0c(y)k0+)Ue@)6yyu0{OU1}^;|`0MZeRRUNCJgIM}hvrqz4c9g0NPDhlaB0u= z4KDl*3@-c)f$REKJ`G=qHoUh6p7gKaADz!O22bTbx}J6+@oZvniGNdrOZ;68F8po= z7k+o(lJ~$LRzJ1TKE{#s08jO^Dlgc2!mip`-H)t%4lU^gp3F}n4#jIvdc!XLP~z`n zaEZTfw%q9X5?&|F%=eqYU)4XlAK09fzXfpBU#d3)RDao$_-~ahKRUl|4W61WMin~i zD(|su1H0;H`ui=FCp>Dvll)2^`vaHtDC9l0AFU;R0}L+hHPGNv&LD#ef3U%YKLohc zJMdH2yW0}K?SRYr68!Z0aFzGwhJvU1qvj>UU{`sKURMn#af~qfA&%5@2_uQ$DBvpo z==%oS6aUc$mpqR#xa4^(aFyrOI=utzY@HnkyBhz|`_|*ZQ~6fB_GHJbPV~9foxrpG zcxT{hJVy7U6TtK4?_EqelE>mVv5Nm}`MZ{3cmG=c`caaoJXH6&;hbrA=!m|QTQIn^ z-z0+zzs}&opA6i~Q$2WIo~D4O#z}OYn@Zwo0IvFvUjHjIX(M4~ z*Gc?l09Wl3Js;W&JjqvxH+8)`GpEih631-davc-$lsa$OoA~XMEjQX9_61MHpSsT8 z&*)1#?Qd{trvreiyhY1B5Ij|G|L`T*j?(AbLt`EUyIc>2awV?Rd%6dMr}k;Z-{+Cz zwd4@krN2u2hZUiaBrSD5V4T*VXpJ@I3~lX?gL=T-uE zN6Np`;8Olwz*Rqsw(H&CsrjS0ZZ#KQ{4f5}_C2u6d>qP+u0!{dIPL?k#(Q+#xF0+< zPOH3NdjNJjP9HS5)c+yis{ZP{qk1m#FnH1*g1_RmCyy9?$@`-QmvSG=mK*(j$j6EQ z69$*^o;0|W_Y`oI-{^e$GOWtDC;dY5`wehapXhbax5WQDgG+mUZ*VE^2ZIa$ zM}rIhC*acW13&tF(a+$`kH5ixKux!<-G0gG|10tT4Y=e@;{Dy=67L_tRX>Zahkt^n z`bTZ&^ssrI(KxyI{LKGgmwp(^P4$nzNcn$f{Zik#{D=7coAnFVRpHK7NBQ>Hf5b1D zqioRqC-(bVbAZRz(K(I1SYQ3U#kpWt`~B4S7Uzat<-PiS-s3|uIjJPy(%Mc0r1p#*1XF3*n*}U>2C`eT*_bA;KE<*Rs^ovKRSP| z1fK5y#czjC#X-`_u(R>LO4dL1KHI9Wt9DZBR;3#ztC?~_Jru9AeRbHE!FUh#Pk&z+ zcdXU`PsWMlV@=>PzJh=1zR+64Z*Aae|21-W_ddxwgugCumG|g%@_IRW>yvUe050to z>XVw6HiVtcOB=zyoXTfg>-2CV7qcEoQe@CB>mxqG*6liSN*-AWQXoR_)(I2?XzJVp2EBS^U;4KDQ?WpJtA z_Q2<@##z&IQj&}&{4oX>{jmlY{T+a_@h}c{HXg>quEulp`KKL8`8xsk#>LLyNt_}6 z)OFzmqc8Q|#o$u!i3S(`t_BzWZUz_r?gkfr!QjH5WN_iv8C>|24KDn8gA0F(!G%B7 z;KFY(xbPc+t9DW6Wz}=FJ;0N7HTWxDdonGn6FnzuB5^bWSMwFFpX=1qbxG0!p3DOw zj@0=~tI?PGPdB*Ke^20QoR{b8aM+_RLy|V)-ws^GU45Rb^0ZKrbP)eegG;S)FM6?nC0(*WeQOeg>Dg_Xn=pC3+v?0OEh3!KJ)| z3@+szY;fTpVsPOf3S9P)fuDNL>oDSXIB?ZpqUXCufTz~?)P1faVVCv_<)`*1N0IW6 zHn`OD7=ueak2SdPk2ARNk2kpRPcXRfPXzAe<0SB;zQI3r-hDFcYJG}c_nt!HI5q1Z zJug2EJk>4(TBn8Imk+N<7Q)(ny3v>VpJ8yR|Ct6C{#gbW{@Df>{y7F0{<*-tyqpJ~ zjJM!lJnsmT!|5r5+apSM`YQ zKQ1BumjYMwVDvrk%ZUHwS^wzu$Q9tpyb$6q-oG#Y_(yv&e^+L8qVw@p;Hmze+6P?? zyUIt&UVcEOy2HN)Jjt`<^IG8QI(N*hmhb?`^oG>C{MQlx>kTgLcZ0#Dyc-QJ{F@9e z{F@Cf{96nz{9A#0^T=()|90RipV9AR-T|I!7sX4GJB_}?eV4%{?z@4@zB}+s>qxI| zy^7r>xrg}O3tak{_{n>3_YuGQ4KDFLU~q}=LEzr?=tIQ+VS`I~j~HCadla~8hvK@I z>XXI1JO-X>2gOU0$6;6FJvz>w08g$DLma8^CO?@|=P5_$Y1q}g8U20OXTY=L^;v^U z9-lL~s0K$w(r1``jy%*JcUpw{&s0w zl6()l>Ic#N%nu}vAB}#f$Dr`tlxgyE-A}~tXM;;S{bF!wr(X>&{ND^N{NI7Ad2&>1 z+w_K6<>xOdm*jtdr}mel3Qe7pWwZJx>?%Le`Tu|5sXV9lS%1N<+AI2A)8F9PdHWxO zOa1>fxYYkY;1W;Zr_QaDIm_c&=E>lfI=7w!b`@{*`f^V2Y`k+BT;iSE;1cgVz}0w) z&cE{#|M{~1Y8|icW9J7?@)F8dyd+rwcCWn`jOaA9PHvU=$QR1$M87}0FnBh9ix_>| zev2AE$?swYm;5enaN#duaN#crT@Ja9GcOV?MaA1ex7e+A;dB5+mj3E_uET00u*tM6cjm2oBF zzp}xlo~syK>bWX#8Ha(7eS4qM09}pvtqxq(Q(qTXuAkQcPt9+dm#hi9H_q1rPue5I zpZYHC+OSJM2=$1r+v|X5`}?}URehr0D_JiaN9ube>%;D~-v%U(4S}nCl=_eTe!xcH zsl3*-b%ZBp$`{Vb##x={{Mm)Xu?cWB52UsL6#J?+W_54)nJ7w+WWr%LXzq`Su zANMf0^y8kuRr^QxL%oQ9@0|X9h<{(;YColZ_qlq2-jDci23*=R)Hn4$#pbZfb#k%) zHpi@}m2*q2Q@JruJvUjJ}jR+~88~ z2;gd-7*m*@eeY=`@gHSyDQ|m&OL?P#tGq_*IR-pd&#|z}eXme%>iNPQNcrP{tNK>H zk5S!SCCPa3WE_R~YnrANn!+zimcD?oBkZak(f+X$iDPHrYJQKtcQ=9f?*d$nyXgJ+ ziNt?b;3^N%`*gd3r_T4QyfCzPH~P~41%pfbPXeyy^XT)ib>P|OVJ911DX-q(Qr;AU z3xBG?h2H>Nt>4l2;~RBfzV;XqUexdy6{e>p*R69l2@n-OJf7R=FOID|*sV?;A zsr8jTR&l0o1<&qlrW;)HxTnD-k8QxcJhT)44&bs*h4NDO6FZ6D41-IYdl_8foC#dD zcl3F|S;T)fa5WE<=Hudfqx!-8y@~%mz~#I(#G85^XJ6vCA8;?f`xE~IfUAC0irc>b zaUk(O2)LTR($`CvOb-T6;tY9D^Ke~th$%! zs;)`x%B;)Qf$$`AibeS-@5MNB1jd6aRCv<*VnFtMxe- zJlW3_>r;Kdr?dS$qaW%~>bd6|T>8NU*>a=xzL5A|WN<0(VuMS0ml$05ml|C7ml<66 zmm6I8R{&S-5PeSlO7PS=nELL(Cwy)Q{_22aIb;T7Y*1$NmNNZxKWxa94&Y`N8aViM|Ah5v-Xh5w|%h5wYnh5s~gm6zIZ)-V(IIVxTH8RGveaJ4Rt z2%k}Gt%K)t#P4~7OPntlT;hBYxQa8nZoCAZ#1s5e*YhvKuI8WU{n1yzQ{yQ09M-F_ zt93oP&wUL%i95tIrchVcPzX=Lgx|N9l8&^&2eTFx{lX*k(^CrRHGPvaVZG(%> zJHS=FqStHh694yrtNAr`j_^M5`v5rGPku=JJ_0V|HPkP4KKC)~5>KdS>U$@jz^?j3 zbY1@xJQ?>vCwhJP8F>u8nE#GxWlJ8)b{v7n8>>2);SNw;=eI1mB9_TN8X6g4YndKf!AWK7il@2|kG6g9$!_ z;M)>>JAw}-_%MPGC-?}0k0kggf^Sdo(F7ku@UaBnf#Bl^KAzw^5_~6u?@aIs1mA_= z6A8X6!FMD0?gTFod=kOy2tJwM^#q?n@TmlEAb2Ce_aOK*f;SPoncyu1ZzcG2g6~Q2 zHiEYkyo2DK1fN0hy$C*&;Ijxmo8WsBd>?}EOYr>&zCXbaAozgp?PZ9iSfX9@ls!JjAi3j}|W;4cyUWrDv#@K*``8o^&D_!|U& zli+U={B452L-2PA{vN^KC-?^h|B&Dx5&UCVp5Q+a{6~WSMDU*p{tLl>CHQXy|DE7}5d2Sq|Bv8*5&Un0|3mP93H~3! zletUFQ37*PxlcgwISD=&!RIFUJOrPY;PVlDeu6JR@C6CJ5WyEF_#y;fl;DdId~t#= zLGUFBz7)ZiCipT0UzXs@0ax=`>UwT@;Fxp1DEFo!}{4;*HHYar1FK{2;w)A;G+n>J;6s4d`0)fkf#4?+{3L>(Oz=|(ek#FFBlzhA zKZD?B68tQJpH1*{2!1ZX&m;Kx1iygb7ZUs;f?rJVO9*}`!7n5DThb_)P@Anc%k&{8obBM)2DSeh0ztB=}tf zznkFq5d2<(-$(HK3H|`VA0+rg1b>*|j}ZJ(fNJ-_)7$T8Mr)`9>!TyeYgeG*wWfwXzOf#h4{Tn@Ye|bI>Fx{_?rZOi{Nhq zm-pa9J;E;*w6(uO`0o<@J%Yba@DB+7A;CW)_{RkQgy5eN{4;`oPVg@X{w2Y`BKX(9 z)%jm@c$Q;wBOZYNhWLF;@b3uzJ;8q<_>TntiQqpI{1@QrI)1Olj*iBQRS3Q+!B->r>I7ed;A;|mErPF2@O6Nz_eG}Hw@qma zKeZHI8cC9MVOQg}&^*09{LD{z+^$D-*C+S}1mBS08xeeCf_EYKCIsJ<;9Uvcjo{r0 z-h<#h3Eqp~y$Rlj;C%_+kKmgTd~o5Gg1BV7EoG2cqhSU z5PUC!&m{OPg3l)S-UQ!=;QJDMKZ5U1@B;{bAi)nJ_`w7}gy4q~{4jzaPVgfLek8$< zBKXk+KZfAP68t!VA5ZWT2!0~LPa^oq1V4q~rxN@$f}c+CGYEbraJA2Eu5X##TG!Z8 zn%T}GerFT>9D<)q@bd_MKEW>__=N<&h~O6!{1Sp+O7P1FemTLfAo!I8zlz{j6Z{&2 zUkhBF{}t+5>f5g){ObvR1Ho?uF5ia=>tyIh#ou*qub&={fv`*_Hxd7v34RN3`7TG$ zozmDQhbKvLEAhLH;I|X}4uaoF@Vf|pH^J{A_`L+bkKp$c`~iYLNbrXU{xHEGA^4*N ze~jRd6Z{E+KS}VX2>vv|pCS0O1b>d;&lCIwg1<=cmk9nc!CxWxs|0_I;I9+>4T8T( z@V5y5Ho@N^_`3vukKpeU`~!l2Nbrvc{xQKnA^4{R|BT?D6Z{K;e@XDK2>vy}zajXy z1pkiU-xK@?g8xYHp9ualaCM&~e2%lNv95d@A^C;){YvoP2>v_4{~-9E1pgnw|04L` z1pkNN{}TK^f+zT)>&*KI1fP@Oa}j)Qg3m+nc?mur!RIIV0t8=>;0qCaVS+D0@I?u} z7{M1O_!0zPlHf}bd})F&L-1t@z8rA1ud1tWtC!no$@0W+1%j_g@RbO@GQn3N_^Je7 zjo_;jd=21gercW5Uf0=%ny*Rx)*|@Y1Yd{X>k@oDg0D~T4G6v=!8aoK#su#|@J$H5 zDZ#rEyc@y06TAn(dlI}C!Fv4Iusl2|kG6g9$!_;M)>>JAw}-_%MPGC-?}0k0kgg zf^Sdo(F7ku@UaBnf#Bl^KAzw^5_~6u?@aIs1mA_=6A8X6!FMD0?gTFYSLY*BI-6z` zCJ}xe!6y^Ep5RjmK9%4N1aBnx9t598@Fs#c6TAhud^b0o&xD^gZw>d+3-w*v!xw)G z9fkTZFSHW>=>*@C;B5qN2d?kuw}f|y%D>H*Bpt-Bli)K5z8Aq~5_}fHXA^vHg6~7{ zeF?rF!S^Tl0R%sg;0F=>V1ge)@IwiH7{L!G_z?s@lHf-X{Ahw7L-1n>ejLG%C-?~j zKat=k5&UG}vQAGAzyHwI+999nZsdJa3b9YXidmNp6VPC3vkre)gaWlBSIlQma7=DSjFuA@w z`jg~7N9TUn+5GW<18A3r$$Kf>;fx1SuHpPe{Lm z3&76ycMCfH3&GCvxv=BENY=l0R-t;?zo_HCSk^z)o{KyFOTg~6=aP=jQaN>&c6643 zUF9>?FP3%um&+N)@{Z05IdxWabXLl#v$CVJN>(Sj?yls%gt!rX_1TI_to$`b}yatn2u%m-SEeyY(Ia4PeJKT{$1w(DB;{c5nP`?C5lX zoz;I6$A8nDaddTby5-dA?&$Q$sngTZ=>OK-=&5A1Ax=m zS;9F+Z9}-<(>kRo{CH-PY~lEC3A@+7wsLf~&gw+xpKTnSnw&cQ9i7^oIs+V?fv~gw zG05>BoQ)$opAK*Zx6eQKQ&H9JN{!} zSN%NNKgT*cJHXEJFwXHGpEHgf9i5$ESL(tY#gcn+2Qzi!fyA0 zGaSFYvgM}QZ>Hlv3wAaCMc1L(j?UgWb@p*|_RXoYpQE!s>}p)3@^XOVe_+ly4svu3 z&Z%>VqjP9Zox>cR!(nH6Il}QjGG`n|IXXw@)H%k{IX0)xagNUMIdx8ObWY6bME4UX zIXWl9uG%RzpPb_OpPG#$I<8N1bWYEybB3dHW>zPfm$Mw5v$HzUdY$9woC~|1Z_ji5 z&WByK%fP12_C|TC;sVG2LfF0e_992;;;c?IpO-i~m%^^rzvzDPGDqj~Y&_9+xx&%8 z5_Xl}RKLH<@xMA}9M?EH*JgF1`Mu83xgK`5zq!HjzY%tokJLHuO^*M~u&4TYc&_Uf z$M05SubdxDDt#s{xy{(^b7{B3?)CFK9GyF1SM^V=<99j!cjt`b9!KY1Cyx6Z|NFCX zMElbNj?RNwo#;4w$kBN?s}qgq5l81y*jf8L=J-FJjU!s0Cmfw8VOQrMBN{u}THB{L zwiO?2e#-HGI%gcuI6BYf)OpU)c^>xExDC(Ez2Nx02)k;J)cpC9(y?N&?N9XOVPIP>{{PhpqugNF5GQ0=H4dUg+MQ}N$tj{oPdt9Fj&;|oXU%dAeceZF#ZzJ?ut ziuZ9wj_TGe`Nr}47Iv1$?;QW{9seI3{~uxZ^7xaZ^K(`wn#W%ponNy$(RTgK(fK{A z6OHE&N9Rx2Rr{po)BidCf8~thZ%5}JCysv||NnBvk>JHD`Wy)CDj%tFKd0kASJppu z{WQ1ZKM(9)f1TISnGbfgUr5~_o8R$YAR9;Ye0)JiXQ6ByseQ}Bj{hQ&IAZ6>i#j@s z<*y>8JL~VuJN_$V^zW<C$H`JtpmG?KQ*tf>-et+JN^{c`|+d3bm_jn zWKv|ha(oj$Ou{HD%t`a1sovi_;{b~DF+bJ*EBw}s=srBnV^j{nwK|I|3!#__L# zU5%G$zv%Di)Mj;}?K!~F8JN|H#xuy#84SCcw+8hel_WzPziqSSN9(bjqcaqCwoVUo z{D}YowdUx$G^_;pX~V8!>-yPIzLQt zbf#u?qV3t>=rqF4=Knn$|7qDcqV;KVbedsj?b71-w>tjQ9sfNY|2D_J9dPV_wIBuD4utWGqZQyiUBbLyPt=$xKY=L|>ZOxRg}J+*H&c(2+ahuxjUgG#)nvEmczbQ@gr{txGj;}J*a(VRMuIXaKSuAUo+5YS!$Nyv4S^IqA_5|onj;~D|olRkvdA2w%iu>}ej$gN& z<#%^sIQqiQ=DU85|7MQ==CHGVy@lhyCG1`v zwsLf~&gw+_)i#b!4eYEw{T=^W$A5t1KM;1+uS@r@204C%opOgb{@cRtwZnFf&QK?g zVUGWB$A5(5KQil|nkPp&{@Z8$Q}gs_$A66DKi2Wz0d_W?$2tDvVOQ-K9S1u)Iy+@` zqWg!P9i0iVv+=Zx<6qt-B#H7*wdbymfB9-6b=?rn$L@|!0d^M0B*(wb@t^GYhgVTb z|Gajc;^<6;oz?$A8{@LQ_v}Sdp{bRbL zvu9Q(8c&;}(+<08pVa)*;rMrE}(#I>G;pe8OLl#XK&cqzI7kRe_z;H zJ@#|__lMo?*I( zdK~5G91Z(Y_#5V<=y$h|adeJ_UF9QHpW__=;~oDK9RCwx_v&$yqjNIsUS3aebWY8w zbDE=bI_xa3XE^?6=8WSkN9SxOj&mIUb92UVo}+VqPMr%JoeN=C^J40p>>|hiV%WWY za*3mJDeSC$FLV4a&l$%Rj?R@?o#^^|m7{ZYRwp_yUE}Cno7IWNbDg7eJ?t#MH#q(` zX5)y~=O#zzX4n_N-!RV(A2+H?_ip(Aw>bW{!p`b(o8x~w>|TGp!_m1j8%Jt?b(iCR zcg{HOadhs@sdJyBb3g1XuMar>55ms&M-Msv55w-Y%Oj4?qd9dRb95euUF9RyzE3#* zPiEtYj@zdkou{)p(Q)^Tqw{P|o#z~#=d(J|dcEN2ya+qX?@NyV%doTl_KM^GYPS5; zKJ7Kf|8>~C{`!Wa^JX@VR6l#m@qZh3Z@>4Bqw_B8UVYwkbl%UY^MRxDVOA&F&pvW= zKF+E0iKFu=?5e+}`pajI|L55_qT~1rN9Rk}=f&T!evTZ_ElIv|{Jw_WYu|4ioo{pM zeCOzVpVf)B?+=d7k6E2)UVn0Qe$J`$i=*>vRwr7o-yEIavpUgw{o&~RnN#O~j?Q1O ztLuc+eZRjQ|9@a-AaeH66dTVE5*wwH=*xvO3Z6yRM_N9_*|g)_43j$Qj3mj?P9o zbvAZ%y5!W^#L?L_r%qQ#ryJ}nzug`G9y#Oa>FD&z#*rE?y&eBPS^v~{>FfCSgI)Fe zXn)v?}ir#7n-&F=t5XCUmXK7$

    NGk!d%(`d<21*= zDQ6tbj!sKNCw5)b>gY^|oz-Vg$GB4uGBI_dv)0Ajkh;$Nv!6z4kfO(K#%q&f$*E z5wLsnG+=oyUJ%Y4`(|%=fJMcVN%a?oa^|XmyILZuID>C z7r?Iak-84L(DA>>@xR#dzXWzKpO-p1m%;9h_sbofD`02q+?9_1Rj{*sUhVi_ll4#a z&ubn3>m2{<9se6(SM3q)S2sF3H)Z2U^{bm5|68(gM90~!j?Qg4b#8Zb?topjYpPxD zbo}pv-RqxsJ39BkuG%M>mwO$Z`(S7Fx!>`B!0~_3@qZ}mpXwhEJN}Qr?&aZ8N9VDe zI*&U#Pr%Od`K06jRL(e_c66S}sq?I(^ITRZIuAVW=)90q=S4^7CD^_3^RlD!N;aP8 z_<7aQc@1{9PQ32;zmYSJHyxd~U|0Pv^<4Mcj{iHbt9?l7e(}4G|9jc;Q{(u3$NvM^ zy>a}Zqw`TtosS)zPheO1Ox5R8$N#gOaeVIRe34V|X!)(b4${c9w^q9sgf)#__A8^IJBK)IQ>O$Nvx5y?O9YN9TXAdwKoK z(fK>4&OeUMzp%6U^gqWxnX`O=ujaAT_0$}&v*%9cgq`(|xg7twv;L`eoyYN?7j{WhuvF0HgI${gkAN^(tWv&9KVfWSNTiL(_I|@O<-sJ zXj8|(tK;9z@$c^V_i+4s!tRaBUXD)hoH~6RoxVAB`Z+qA!LHgRwf=4H_-~Q*Ppw~D zI{sV1uJRhaUftT!*(R$Ky*{jQboxhhV)ut?9i0IYo!I@MfsW3gtWGpPgB_hAu&Z`X z?Gv_j{I|=-5zX&VM`sx9YW^vm{||TkM!?SEAL;mya{RY<{71vC;x5gbV;sM+u&e$Z z&D#!+&bXX9;~kwHVP|>V$?@OW@t@%M?*hA*kBN@Xu1*}gIsUunjHBS_OoH9p_trT& zlVMlwlA4F>9sem=|J3-N>i9Rn?zKy!qq9d=CpuqEb99<5AC`?HI-U=AbdJdCM91Ng zj?PiAtNNt+-O-N!F*)Nn*3mgGr_S+?&IvhnPIPomf}Q2%WXJ!MoN=7$=$w{Q=X6Ks zjI2(y-<|2`oR!sy_PetkopWGk`90V1KQCt-=Q}zVXFU9E@F@4nsW=-iZzBeiba z?D*dTySKjI>ge2-Q|ER^=MLD}IsKiE|6SQQqT}UmN9P{cRsT%o^` zjU%;=KIr&A1UowqeAw}S1a_}~JnHB?meq;2%j1sD6R@l6`_j3@laAk0u(S4j+VOt| zb~Rq3``2e3o#$Zp^7*`@^FmIY7ag6Ka_YS7=)96s=T%4NwX9CGpS|bUtz7_|)yt<%c=91qw_cHDle(|=O4%a-<)y$=jbGJl@Fd& z9I5@#9I(^pKVbLTXD&x)?wmUFI6CvfuJ%Q#`^@t>{`2RIV*y8J!JIk^IXVmH)LF#Q zSrm3}JTKW=>!**K!>(wdIWT235mJO1lrpD8?!Or^8 z`i}nw**K#4*wE402zE9eH+KBHz^>+n==IMgj?SjAvwU=Q{JX*KjjQgCPLG^AJsq81 zIdytFI(>5L^mTOlWp$$cWiv--^Q=y^|8L>wYzaH-cUw9BTf?sAlhpG}+c^F;uzUTb zzoSzNJFCY4$A2K~tltlE{0GDC)nkaGv#k@yc8>qhoN)|ubcVyu@;SosADJ_bQI5{` zIdw)mI%8mG?K{@--yvrl;~bswu(Q1G==ksC`0woaPk^0`*IgX{iLk4F9-Y5-b#!*i z>O|+S-5s4mPMt}PPF+?fTCd5DPCe}2^QBW9ovE<1{@UR9H^Q#^S!#d2hvPpj>z~@6 zH#z>zj(>~e-|F~Jcl`Iv`lssO=J>Z~{ZsYtaQr(R{~3<|Ua+fi79Afm9i3UQvwk$& z@!uPE)sIqn*vIkT7j{*T=(yU?(b+$z&H;|jfmxksUJr6~4u;*{=QzaiJ2YqchdDZj zXLX`^J;KpBGOH8K$5D>X(Xg|Aa*X4DY&MQ)eU5Wbl6oprRK#m9RD+6_tv+w9G$as>YU@~oC`af-_CRV&v*PUaQrWXUCnRN zesYncb203!T`qC_FNK}u;WEena@bWpqT}xhN9W3%I#)S5SLf8Z#?iSps}pUX>l~fy zbL!mS=-ddqYUk8?dXwXSbIv$!add9YsdJm7b9+`N+HdY~bneXRMBC{uN9S(XS$^+v z{O@)A?{oa`cl;l4{2zqfJI8y-(RmnlHJ+pSe8kat^#6=qWtbhs5*^&#-JOMOJb1EE zq9j0o5a4EW$u8OKh80L~cXxMpcYnCMySux-nz`r9t*+_*`sT;m$EnlR)z#J2GCgx4 z5A7Epjg)^ZQvUHs`6nQcwd2W%o~IyJapBB+Pe;l>Q!MX{+h-%?pMzZWtM@tV^ASBS zK(74Z9d9p2^t@EmzubEdftIt z#hnv3??%eM7b*XKr2Gev$KvI~h@Oukc6=Nu|4F3$r;+lXL9W{2jn~g3dcLSp&zBKB zUqP<=)yXGcN6LRwqaEKy^n4ew@B6{X5>hbz}u85wwArG}@o=Ew5i{%}E&lf2_KjblgED+JNV2yefis)Gw za(lkDNTl4Nkca%ZSfu>ofqIvSlv}b`ujBuvBITEcJhXpaCQ^P`$YcGtTtv_EkXyg6 z5Gl7JlW>B=CSo6<<~EkciK@GDZfFnyi@;%k@DRl*kU2ThwSr|A?LeHR@@I=owg} zo2^H7rto%VK#azJ^E2k0_RR;(KJI{3ys{@i{u8XH1QHwu~wYWGO__8RTzi0J7o>hb!eE23u)$W`19 zYU%1|p4Qyh-ZrVZv}dIJ49H{W$TK5)_JTZ?7xs?m*{4Q5`$qKaSEHW&BYF-f>hbo| zfe}3iL9Y7A$-4(f${!Lbe`uuqVUhBON6H@&DSu?7{85m{;^XLuo?~j%b8JMFrw$8q8_h37f1A50(r=>F;0l)trD z-kHB{isv$5z%vJje72i=(!v6P=DPMDSt2Iq5ixtQvUu(`3EB9AA~&S&xay< z{s(!;4-ZGmKLUBk506I5KL&ZM9gj!!JOO#A9ZyEeKUJe0PlFd~?=z8lo-Nkn&EwBS z^gIuFY~B7sM9+&wd%XGhrHG!FAy@u)^2;lc@~_rt$7>NiuNU=r{rg5l&zlkXTac^v zI{EPJNcne)x4td9QRU-BRvIk}r)NjXUq`jjyl3sezX6WN?unGo&Rf0(zGU`aNs`vzGQFuZ-F(FQJMg%!k@DlFH#N6TX`9y8 zTAG|2@O@F=kkYhi1${q&r`oe!skO7os7rnXZ;7gX1EjsyyyT~%z5!kBQ=8gaCYRgc z>r}dOx1r14ejCMN%YH&<2P*a1E3lYfD$xRdW{)z$w8+{RrpM@0ec3e`6Yc=K25 z8zi08+NXQZ%u};M&fkX@J>%M1nk(*<0X7@t%ol0g=JGshlVo=A)HoPeZYc)Z9Hu_e zH*)5Tw#K%`#!TCsMLpi}G#7a6ztk?@c$yo$Sp3fe9^*>%dEhZQ~k)l0L|1ApnJcu`m zry=EO)9QNQzZZkt#`EI9LwRKh$U}K$NyuaUycBq`eqI_p#=W$|JFhGQo^8*v!0GRF ze2z=gZpZZI_ELG`az#6oJWDB=$Ci)iS)oQfD}v{=r+G5ZrJGCWpOwH<<0@T8k(ZD7 zmBCZv-8)WK0WUOvuj;d_v$-`-!?0^L@KnEf=kL|QQ}LJO{l3t%2IS1MG7bigtE=z3 zCh%DNtOcIUr@g!N?vqxrHsl=lHlMBoIr~BC_vX`e!DD+x&(=-l_GxV`w%t-GcLrQf&IJn>fQ@@p}%|8XDO{W`uu@BFk8c#N;quZ^DZv~f|NcRXzZUMP=kTGZpsW1E4e#$`4y z^uoB@9CDjSw*VgVPyeDFUjGaLPx)tXOKA_r3x`$G03OGS_*?VxJUGzQoB7)le}lja z#ou64Um8cg_2>}r7;mBRIkZN*hDGe!5^^<8z3YPE;4$xsUCz2-1mw!^dYtBd9|@lF zyXNJ7A7yyruQZ-Yoz2;Ps@$1w4&~oy@N8U-sj>W4;Mwutt9!q0ss6E$$J#Z{)F=M& zwrgwfl)t@saU1YLd2w4)pZEvsW9*dR@$ukse2HBy4<6sHXqR`LxjlF)PkHyHI~ZPQ z+)My3G;VgR(XNT6K56Hej&j#zyI3DS34r zx+{1pF1>kRis7a9%xvv!mqm-S9%(YXwEunQCe7d}KY90gyMf32Bl@cAD#-;?A!om& zcKPuYBS!5PjZrrLLkr@4UPRcq+cU?c5VQo6lzerytYywdd18b7^ML z4kgcrTe25;%1?S+=Hqv7@KjuCUaoMTqCTDXbA9_3^=V$NZ$I$VIyE~d+8?;}%K^ZZ zU%lh@K=3$zB%Yo5`yj}f_r$*qGdpEem!@QGIJj7z^33)_igtL%!=d1*`18&mht;U> z@EY|U0bVSgk1Xo*#`96&sd!X*wLJ0Yq8=r$=G|k!OXYUSp{?aoIXMw>-m8}K{d?3W$w|Of{CUUq$>8yQ zH7TE+Q}*cIFI{FOr$Da8r8j?_3Z9A|Z~i*1Mt!H(sP7EJ6aRSk>t}+e`fEt38HaGv z&a)s7#m(8K9`TbmZq5Nu`Q1C-&NcOkK4<atBXxNVt-XGYA%61G=45M`lY-xelCMt z<=gCB;Bw&fi%mKHg2v3kM>G?yyND& zqP_`Z%9G_-vq`dn9BigRA^)xiPtA{-mv`_D;Hh{Y(=@ZOnfh*ooaY8&*Z6_m>$^#6 z$^P90c`VLv22ZumJFnaV9_^NXbN54-v2O*B^M%;u@{oUTE86GHf474dT2I~qdB{(9 zLLTzdT}3;*`QUEwVt%>@yqKTv1uy2O`%Jy!ckeuPKX@FE;`fGzZMxS#0G#I{Qr>$W z`5<`q9PT0Dp>g&<$eD+vUT2&=3_1NT^*iUzk3g>M?$N!jd$&h{D?e5qFIG0D`8md8 zMt>S_@?5%mcZ`F_Ay?yEuSfHB<`bqq(W80!I`c{JXs@&xOp3R zY}~#Bo*lRE0*|%lJ@8a}#x}L3^Hy_v^>#v%ykDcf55NnpS3j&#&qv^e^8Uv)>iGmb z)jn@rehQw7OYb`MGgEIG=d#u>JXiW0JT)(=bzFJk7p6YZqvZKAAoV8b-@Hrr-AH-i(xioW5$kjTkXG6Eib=@)l&t>FNe%#3Vf%US~ z$o|a@xf&1I{k?gB+wm}Okw1FOfL^`l3-IR$uKe%KQwx9>TemD&tUuddE(AQZzg!sd zSbQ!5p6WO6x?oZ8)cH>Jd|b}Y7lWK}lKS0ue!jS=Px{|GzbpYB<3#j1``#rXSAO>9 z$ECnye~X?01N+qVSQFTMazrUvK=a4j%h4jhpoT;~K#2 zxLp%C^PBM9{WoTiwZNmDY1~%U>yt{A8>8YB@!Q(qsd&-*qI^DD$J8tOG>_YnWL@yM zt{3|%`^Dx;o>~ub_G22iC3R1BeN#`UeRbf)+P49CD*n8AYeVocLa(bjEr2qFvr`-UGbQxabMF>OZ|s$osDsc#IqIyXNKn*W0JhGcWc5Px;H6Kl*~F z<~8ShpdaLnf3Yh&AJ_;u<6r!o1<=L@7k-9s0^IR~$L>wRi`l&yc#N+!j(zvXH!te* zj`JY*kgNPTxxQDAWPs5x<RmN2Vc=Q+jG7xwy ze-A3wpWV+MT&&+4??b=~#rsgmWBwclo^8jLHQF&eV#f%`RX*^Zmy86D>jLqo^IUKg zJ8bqHFz<9YdeC+b!ujZ zJQL*ep^1>&INk}kYInMB%h&Nc2g>aNoa0OCtFCV(1(YDCU!>htxlHwwAXok8oo^b! zW1bQ{&hyC0kTae`aasmX`OzDvyMh;5FHC`)?G}5S^+FTmv350s$MGt9y!-Rrz>BqS zDtNK>wScGk+nN8SL2l!`6?iOO+lqF0<8``EU-dj8UnlGip7N7-ozM;NegDp4+&F9!WA2fF0j^0p~arzBW0u~U5?K%QH zjt^;<_x|mX;Mw>%3V3YX99^`hq14rac+bN2Js0%C1)K%@p0hc#IEepLZR6I(UqGvCrA} zodJ2Q|IY-E{uDjVJ8I9)O&7r~TwR*Lx5=HNKqu{t)D` z@%2CO?D%@PXonlWy($fQ1Uwr*j{@hqD$QH@^9nifeGGEOh4fEVo{!2Tc^o{pQ}k4y zSBVKvK(6AxDwj$4NyuaU`xJPg{(Ty9=2x-9dk*&uc*>vsyVp-jo&~PPU-n$=IpEfR z&jY7_q(1HceBJN@c(HNwB6upUw7&ei4KINg8qY5qdFqFfdOznC$k|`gug?7VYK?Zh zX6g|=PF{Q+a^oL9m(Kn326)Cln+Gb?Rwj95BG(+J@5GKAuqS*UGQS@ z_8xfb*VNy>?}oe&UThqEP_z&02=_ZFAA+aidE}PE>$`mf+{W|Az@7f`plgK<6ip9xwrZmXzc}|+Kd;fAFKV>sOT!a;ym|X8@KhW*dHd@c?fS;lC++k4 z>09tPo^4!zSG30&uirx+i^Cs^_ITs)$A~>YMeO+*aus)39{mNljk{lg$Kw7s@KoG+ z_qo4=r{Y-e)ADit2Y4#)XkI?f|19dO^y8#b(W=Q+5H2j_i&*&*k+lX1Xvo~+O2 zfSl_UDNlLUS92Pvwr^c0cep(bf#-;Svn6YE)>bqk+ zEe1K`A?>fSTx%=0cGlGkXYm^CS)xXJmIROSA@=Bekmrr1iuyD!kEErG_IaNlE(4y5 zYv=jlvPC`K{#y>bQ2#9tIrlZvzHUA0`_=UxRPp!J>I;$TG1|VUS8esM4xwkum*T4E}iwknngX{b^Kc3ao(49I_u}P zAy?zpn}^mh^@$$uIn}yFecm`)54=zutq(c-C-Zytye1zfb>OKy;P`>(uN%~8*MjydeSIT?m$&CyzH2yXQPx;$B{x$(Gb{?`Rc=(e( zx6jTSHv>SsL-uSAUd)~?z*FPT+yDK+vw3p>@L1k#DB9!An*$BcjJy1NU=VnryfU~( zyM};=KdGOy=YK;1sQ9biACUMP2DysAs$Al4OUP-Tw8J@{7;f}Sz0Q7T1mrQljs%bE zF3~e=TwTweqkyY^^^V8U;BlO!?bqL790NJ~UD}bYT(&Z}l*{n3z!`VK_s%clz@vYq zyfeRS4LR)+J=O6k>)dT1=Qxn^Re8QTNs?_%J)&n|SswSKADWcMaLIVcRX^tPRLypf z$HwdS;Ned`UUvWx^T!16*k5Q*;XRuj!3)LJM97t2ow(Wwa?V$&U!8lfnAvs)kMWn< zEIob8tSz2~b_z_a7733zC|Kcr#wh*`3cqW?EZls(S+f7XnfB#evH zzrOF|aD0Z=Gx&UL5{etVcB1WY;s)F6#OY_xxfz_%>EZW**O98E8|$oXOX`&;y+aH zGLXmWT^2n0OX~IRqn0b`^RDBTkJz2eBTGx z)RIuUdZB!*UA@6m?egxE`+&#(5PO{a3jAKM>VIe5!ut~y>yvzb6+O;5$401!{*(Ul ze%Etj@R$!pkN3N~n}8RyYg6zzj;vjqK~8_BD4+M|>o%MtI9`~T4UEc9G7`#|JhZOaB+c^|G_EYM& zl6sy!406uj(mrQBv?b&!-o5#5IC!CaHv)1s{+#c7jf9+biXGzyjIEb5){0;hqXw1zxPb$NKbn)~(~f<9N#A$FpwT8oXG)Z&S3daz0=_ zG`g+fiNCz}RmX!zzlwbo9wK`?$W^~N^TGCz)30g2<@aFn(IM}JfESCS3E(OJd+(p^ z2p-pU(!LDAaxft-_GI`@;4}XT-~0WZ3R|9IfiLCj>+8Dr+@;3yCGfakk@DI3n!Fm5 z{p0>a>UVy(pb>Iw_hjHPzg2D@CrQk2yB76%&u^xH$9R->Opp)bv~@O>^WStxecc3J z%&%Bp75ute(H?JpnF^k2pLdCZL9Y7OyKdgw)F*np>*jq7FO3)9dVXK^0c3~l>_E( zz>mORWw$q8js%bA2%=}e&+{bUDz8-6O(HuP za+O!Aa>*;FKu&*!>^~Je6`$Gjkkf#xe)jtDbnrrcJOgstDR!v!b$Q~MkgM^gyzzT3c%giEUQv&Czj;1*s(s$)*cX83CO=QP z5Il|-X<>TkT3+3bIA!mGu9?l!tyz&C% zD&J6^%_}cL9_z1{z>D?Q%iyVa^v=Vt6!m%M;a7|LCX6h1HqC62)49pb@<_ZT``Gns z;LV4>;^%R71Geg3*Q-y4ybe6p&Nsk|wewBzR6D)%;9Es~-aPhpQJ>du?-ccU@0Gm^ z9@hgB7tVVT??KLaQ~c$;7x6yiv2phSc*c%J==4&kaxf?bY`McxpU4^Z%EShw{l+klTFnHSka#_@-E|lLx+q zobz33fBL(7-vOsR(thXp<@b?#e~8rkW3k@sJ&vD%+jjm8+!@E!^>)54{{=i12i|r0 zui&XT@Q&l(z*G4p^8_Zxie%oeaS2pqUr~4{+k6nWuG_y%?cj-U)t-QPoPI;1CMzw^`Gya)$B$4 zy!|l;cpOKfZIZ!@_3sU zyqN#z1CR5H*ylX2oxiBZ8)pj??egvq7pzg=LN)4J7(B*LIu4xg*Y&Q%;UeIL)?JGh z^?1)e76XrYS^VX!-xr5m`Q7WUCBRd0;oXNW2_EN{H16}~OcFawLC!c7d#dt08j@sb z@YsIQ<2(;t26ELd=XvO|kaJw6<$d2PTn;?;huGs?KP(TP@{>0|tWebFU01GHqg`u*r{dTMu=Q>x~>Ae57KIAHno%^44 zkhA?#-aF1WDC%*>`G%0k`mGyyp?<5cQBU`Xo*t01AEaI0??&|mPp!ur>g#(Zy=t_h zcf^i9HR|aL9_^KJ;f>ggD9$Y?8LV89*58Eg9 zJNx!gkTai2d^r2|(M3DF^W+%tRQ!AA$*l}86dz;33&qE{8ue@)(X$QYvHsc?ypW&A z*QjSZ@M3vqd+^vV;wR@h#14?#_?rNn`vobN?Ynmb9@=+LgnX&Way5NV!+TF>C-68P z(!4pKXMM7Bpx#{~^_C!K+(^CN`EU|=9LG|xGaoiWuKLj%r;|;6qQ@JjW$=K;ror^bbI zf9H6}L+v^Na_wi`t`i{-#oxbg0v&IC`5FMVE^=hd@{`ZO=^_p@uX@0_AOZ(N^S)aN~iJr6t;2hMYr^C4I5 z^v-7&fT!ZYn@29JQQt*1>bn>`_E%{9T>>80oihH05A0jlw@)QqCYM4Ui?7ST3(aen zL(Vu($8Sl!A8`fb9G7B;a~^nQjdolG9@`ztZ&!o2G}27CiQ|=o{WCzo*>F6Z%r6qU*q09QCID);tFO_24=2Rb6-F-Iari}~p;Q?KZ&dp!dlbA-UV032`a$gCbM4Hg$029`rR~$} zfhQoRy;5GUU-I95eiA&}Pfr1l`T1#6PZ}qc=Zreq zTnD9o$>kD4FBHpH_k$A8FBZ#J77$Qf5AUh;F(m%$6=hgTryIY_Ffv%dT2#?Apf z(!}^Gf*;IX};Cv`*euEC{zhQ9|qlt+aG-h9`l>jpS=(E5pXp= zy!)e%!DGBgdG9&TCx(~CgYWt6r{IO+>NCh`ujonhagWb|)4%lN7rhq4XdBJ16%Q$oPt@A<7{uTdoJ(G>C`HST#&t{PYAZNSN^4ag=Om8WrFF!75 zg3TiAXjngjgK|K3&qD;MLpj5UmHBewbE2Leegnlu7f=0rwxjBdGqLoHQLoJVpo09E^j{W4xWwc9>D2Gi9_%A zWO{XsFSif#BJ=98_cZ!Qd%>d(YE`n0lmL*+Orq z!NngLJ`A|i-=2KGC3q@+oIK8ncsO_}9=-W-1bC`F-u>f9@Ys)OKeeY%;j&|x=F+I5 z9wo2N$D_fE#m$(aKChp*0#CKm8$V;g3&qd48ue@)(X$QY%1?TiL!OJ3`L&jo6XB|348p z?UQzR<8UYNV(ZkMi~79%y$g7u{w~$1XHrB@BjlW?q)?aIQ*oo_mGZhlnJUUHJDFYPzq^OBRnqd!GY^*mGN{8J!j`$bPxF5z@4@iBjHzX&|`quAqp-hZ*-iCx}%YL|c)>+eg8_IcNhmlgGS_b-=&7aRXq6!m$>*_Acw zyQ)TgSA(bW+qgYS-TKHY7}>vTj697CEx#6W_EX6J*MX~QkzjgYf{)A;nQ({3{Lh#u#h@n*v$Ybrh2R!93Z~N{AFV?>MzzenS z{u=c>5Yh7>?jxyr9~ieHtYT_=mw${?fdB;q(Z2 z>fXcXj&$6VI@{zsfzz92$|xw8%8wT9Q@rZ>{W0)VTzK>I^%2+0`gd1c(Q1h zcOHJKMtx6%XXnvpOg*9e@GN+txOxuqn17xJkL{Ou@P23Z1@PF(7Zxr4MzewU_C@;Y$k-)Sx7`nsMt(0QZA zdfx;ul$YMBQP0~EJ?|9tc-I5(f~VG{&N;_>kgI<7?z`RxFShUc!0^Ps-t(Ui!Q*;U z;;?eh2e`^>`aXDm@8e_eXt$KtygYGy0v^|oVvlo9_i53N?40g1;GEZ`T=ia?WWvuO zSAMO^B@2E5xf+k&IQdgJMcpGe{bp& zyPSK@?9d;;Q|B%Yj~)7BQJ;6;^AmXNKWV4)-r&!WtGF1`y{^7~P-R({`~tbnAHM>R z_3Lloh5Yh6*Fg*-MMW&@A&f!L9K zCwKN5%g+HG{-nPbm-&580I@ik3q1Nu%6rdM=dMxTJVkxp_5Zx!#o}i^@M7^Ze~tDn zP_)n6-UWU3dG;p@74t4Bh1Lh%Yt+*tqNgY1 zvG(->FV?=^;BmeZe|g_?=>wj9Zq%!Lzi#OS*%xxghv;$EKm8zQzuNq@5#;PwDX*R< zlqYTsxoVG+OUL7$(& zlXBj1)E_+h$&RA|kca%xVCs?bUOx;pypTPEBK8c1oa;K#~P|1IOL)D8e!@Q`D3K1$M(-C$er=$`OfHQ z@HnnSPZ|$}@BfeS>GR~Pt-w=$^5(0t;KlOQIPmZ%Uk7Xrfc+_c%AOl-6X0(PJXYU$ z@Iv`9#334ZH zJpH`0sV|G0ls9c=qkJb(5?wYNl3i-lSE^CpB=A%}de=#f;Bj1wectoN$whr$|Chm2 zJdFvxs0Y6kjKX5%%VNs{JU3;`u46--##_!+qXu2`+=v%xp!Rd z4_;^-9RNAUM;dRw@3;9&4no^bLo6XPM^srGsI^@oDT z_>;JB_VtI=sORvAo+BW4+ULppM}nu~-5Xy=747oo>7&8p{#n}R>}QWLa_PV7xr9tI z$3jlKrF>OhoraR*B6^OmQO^nBF+Yku&N}l%$hj^Ndn&)b1)Omq8jBo%Fiwjv2z}HjCbibXFT)V;e7BouZexmxx)pJ zGrx$QZOiTLU5#yZz0&-0A>@3|UCNJd7%E?0mv0@W|1K)p;azuL3?BPa^f=ESE`glw z7CXH8@KW$pzh~L^sK?v?SAwUW(|CXX?<(+^53>I9CNE1@c(Dz6u`O zSGC)HA?7vkRJ?in<#kgp;-zpN^hQyicfIi@c%k@x3v%Tr-h_KFsIMAHh?0YhLb%pTGOE& zc_{z<2f6Z-wj=NVWcG?*m7g>(@BdlAW1NXS+4HhlfpcFb?Qp&?H5=s0zuxuD?BIp= zIdc^Cc-N(K8eSSdzJ2ao;KlY6bAzYyRQCLE9^j!oH812UUc7l~KJa4xnIF86e-?l| zHog`t+T~q$F9e>BKYf2;VaVBj@w0Q@x=4-oELx*Ii-D*7Of)|R9UPZgS*vkEQ}O4WFSY=Wd0716%oqJ3XTOOboqfar$eDko zytD3YDB9um>p<|7UolSI{qi92*nY9cyI&q`>J_`v`J=F39s(Z6pXeLZ($$gQUl|HH z`%&}^?%&Y2?=axBSIXf$ep+**eBQ1Z->KdbJe7Y8ud>w|4qmLkMt~RUuaQMPUVo1Q zkM^hj@x5<3x<-9tiu%0cVk_`s{Wlgo6<5x4h;fk9590so`asqXTSLzAg#MT9t$dUu zU)3kcHbr}!e9q@H+k(e&Ao`sB%6LCYPcXorE{gB#|$q`{wA&;$lTfkHOobCUn0q6J%#d|Awv3PIu>GRBg)4@}I z_O5ew2QSwD?L~dwe(R{wzRsdPuYFyHXZ)A1oAv;Y{Ve_Ha**Ij!T^?AqdKH!DM@4k?8|0wNBpX1c^$g*9M><78cgZl%I#pMCu#p3cn z@IwAOsK)vZuCcyDz~i{D^k@1ZExA-HFUK7Uxyqk1t}F6%XdebS`zaJxhl3Z2t0N#+ zapBEVM}nvP=v_w~Rn+H=i=)BgxRrSK-n%>oJjRc-)0zK|g`9C9daCk#mQ9l5z@r~3 z{;qx}<9NtJ{eOayOZnJPjdy+Cb{XUxm(stKXKlQ^MtiORkNp_R16P6<^Z!-g z#r%IYc%gA{4djep^mqOlcJ3FhHG0H;XWqUJ@{k{|hdkuR8z5Kx>K$)4f=7GB4)45u z6L_I^-we4OkGB91jmKLdS9W^mk=wxIyeD=#-;uw)Mm=|cr}FLC=EkYz&d!eP!$@~R z&UQ#W+4mdn0v=lr-whu9G)3}Kd5<Fz|zH~rXJS+n!#EB>%e32{RVi< zA5tFUU{Z6}v?O^G@>ra{1s?lB^o%XFbab}0Rz~>SkaOJ9{&x&c``-o5d?ft*J8h}= z-h-U?cBS0#=GG}?xr32K&ijz7@lky~P<4OuL7@H*4NiMMGC1x1*x=-UVsP?51-=a8 zT=Zkv z^On@-&FB9G$|rMF0^jC?Sqx5lX9do6oz$1@jJIY<@57B0; zD8~5$;4xo_p33*B$wNL`uxOWeoG%0(`;q=w*x>ZvA_gaa(PDkx_0VGAF>a;&mZjEC zSru?hrn6R(EDoNUeI?49@zN2hRK>{Gp|m=2GjF$^cm*P;N!w%1^`PgN-H& zB*{wPu|27us_U|9k(Et7w0jkU)9zIbPX1~JCx3O|F?-hlFJ|wW;Bj0@{Z3w43-VB2 zSsQZh)1*AtPucMzCzy4>A5Ut&0OE;fIVXj z&h~F*aJGM}!O0(IaPqeX&U_>M{5&;v);2~i<@!%fKYfg;Z(GP!KkM_q+~4B^^=}89 z<5cSR=JV|X<#zzien{>2?dv84%I^qV+3(F~69eUU0?xdU+CROmy-iYj{<1^rgq^`- zT!|mYbhWf}$#BOU&?Tc@?k|AH=i#DHo`-i!N`d+(0p~rAwEmublB6-fpKNg9r`0B9 zgEKyM1x~w#pXGzfgv?nxNu~tKHxH}yYxX)@abaj^wFW|J#_W$02a{Cm^4bV%jeIZxt){49`9FzSZr=O)> zZ~X5csQ&Iw4bJ+`FgW>V8l3#IfU9w!*E{(-=4|koZ=}5DpdwywA?;T8k~LSrQ<5dWAkQ8JUT<*nZvd|BbndHgYP&H|{w9O7zMBos`ff2e`L`OJ{M&#l`&9o{pVZzCUdWGk z82zmGPJ^@FyMU`W@UCa?4wSzKcr4%E8z_HYjpgqTlz#xY8n@YeD-UX9^WN6ZMDt*v z{6oN%-v_jpCeLhdYThfoHP5*CA9&2S;=ciJVboCmLPUjt9YUqjpU$~jBA^n4w1 z+RJ`@!{BVkn+7NUErXN)w!z7N$Kd3@3taihJDFc+XMG<6kHy% zSN%{uq|38Fl6(><|0!_xkJ#(%H$MxM``qAc=NATNJHG_3+Nqw0Rt^0MJTZaB@~>V8=MDS|Je5~8 zFJCYJ4W9CsdM=QwOa1{*#fjo|b^Hst%`5*IoPJ1futa_0w~;an&)`AyERa(l%gqX$ z`za~ce|UZW0rfj~>pn>0VzxlJ*?}v+dFSsrz*BzHyxebdg2(lJX2-Dcef#uGqcch7 z3fM6>aFsv2_w42YPp#joJUPgp*XU>5&1Z1>ZGMB3zktEXUl6$Rm-l>PA@G#HG%xqp z!r-Ym)93MAJ|&9;>{-;{w0|*!)BeQ`PW}=GCx1zUlfRU~$zK{c^Ox|QJibhz+_DB| zJlmE%t!r@d*E2Zz>jPKo81Md~4m^%4DL+t-^ksg^b|G?IpfY4OF!iwh z4GqrvyBVDPdV`bS9e8Md?GY%~)8MS9m%&+2Z{V>w=>wkfi}zkhU+`+Zx7QDRj#IH~ zTvPM3(q3Jalk|;Dz0w}c}?J{yyUElnge$1R1 zZ)|QYC7ne(y!R)%z~g=@^=I2uxweW2&3ix|+pq2k9{ogr%m7Y1r9FHCCIJ=oy1 z_YmO9zs@~^Lj&awGdSxx+~BO|2!oSf>L^T-v%zC~rF_myCx>$&SMlJ@@8=fvIOl@rLC*KY#hyU} z>brI8QAyXy`H-`p*p3Sf&URmDaPlt#9?Jt4gBM%JUIL!7d)lP#J-hdW-IoUJxD2@R zzjr>k-0-9w8E;zUt4{g+e1)lpez?-$^utvKC;w`LlYb3x#)0si`v%tr%3TLs#fLXv zTpuWZ190Uh?|r=+!J~btpGsYgxOJE$Hx=#hK3}~#V8<;6r@wABIQ?~7u|9o%mJhMp z!DBp1`El}ofw`5HBzKs4SpS^{XZ?2pSM#je7v$9^cY~+qS;gy`b`RwAtJLeP`|b_Y ze;;twZ&~~8z2N)7WBwNVoqNF#6zg~5?!iF)4;Ab8#?Al0Q|%woJgv2@sWhp%v((!0 za8ZwUoIVn;<57dN-ySnK`|WYys^7f(m?r||p9HSPn_kc79sd+~>>sIL^YXm%GTKN&v+Jc)voIM4%O=o$#dW_-o&mduOmsG zhn({O{rQ5y>CYF7^?LpJQlR|H24{V*7@YOJ3Y>lrzO&zc4RRIl&VKuK$e9nMy!Sce z8{qlpr)rTm!HfC*E$~8qe;ab^_je3VKfDW^@s;|)chCC0K>7E9t2p+qD?SL6|FBrz zo9{mgl>gY^?DtO$&h~yn?}4kh^zNsB2$cU3cx;^f1YT^M{0yFow{e~A<>{UH0Z<+w z{SvU}SKu5!(tc;2{4G%Kci^G*;~#-?e*#zj^PU6z6)68VaMfP#`1%JtwoCfYS-1ZS zx#|b+x$u7hI}*IO5VKpNirXJv2idzc&b0V<6r^s z)I6qm9m#@_TR$#jaQbm!;K~ox=i;gziv-FqYH;SC#SG5+76;BeDtzz!v;=r6UdEQD zRqvE7Y4o$+r3}t`mo_;0%NU&eWq~U@tKTPOQj)#qa^R`+zA8`T%R{cmNA*3?s)JVm zkLwq)!#Q_b5pvtFD;b>juWa;5d-Lz2rsl5#Iqi~i{afXAF-f~K^b?*{jeh!VHG{L> z)q%6$gzx0zH3H?YMe>I*_aLC(5%Ef_05v*0-L) zS>O5wC%?|%xk(p1t!zk3jjJ24{V}49@y` z0}u6gpFp|324_9}49kCjEsS2av%kUF&H=!cz23NK0523b10h#&;Jx2E2t2k=>~QY44u)LqL$RKp zK1Qf!x-RtGMva_uGI+Kc)SV&JH~O+_px0#)D_uzg>;xw-1!x!Qk}Y1cTFmJJwj= z#6bC-fU7vx`@cM)?+l)bAI;16iMtq{*zY~xDuJi_vvRdwK1U%rW>V2E@BXpT)F*z? zyxgwIMSb4yD3!sp{kkh~HBP8l3z# zgOfiUIQvWZ&hx|FA=i0MzlYpz^s>GVgR{O);M`vb-}~LFF7WJkdG;`RS>K)pXMHn( zt8t+AAJq%tGr^-Dq`cyFBzr-w;>3Fnv3J0ZeGE>!_cb`}-mh4nH!k-FPus2Y=K)4P z>pjrmtoI<`oL`0StRD`BJhXl|#OP&xhZ>yq9R?iR{zUlwdrnG{!vp*yfHPkSKYz}c zCpDS#js#D|&$y8Tdi6NU=%sx}8=UqX13VT#$AYK(p?WUVksN3Av)}dvP`%gDG+mB^S!ufni!{`ySWT5_Ex$h4m%gu`aCeC{J-~3BHK985{As??TKD76b3?{&Ob_Fd{t-RSy)c$%ed4$3xktVlPZFNb(I29x z$`c>3->6UYc-zH$>a0)nXkNa4;kcv!*q^-LOkB!mJ+N$`AC@yX`O6!e`d2VG`6~if z?eoS9zYlEfTN&lqZmG}vJa?5q{i_KbG{J1bH0(j)0h6ET*^7$ z2^(AyC+z>UJijlLcam_1fT#K?=cUPbDCE|!!wgQlw*;>GwZCsYG(1p#1aP*?wtHlt z+$e+7zoQLKJI4T5aqP|KTY;zYj^cGBVne)V~98)vw-rAQKEv>>txqZk6}AaL$Ms zen(Re+b>JJ>>uNe?cd4ZC-1yl29NrserJ8RYmIuQ1ng)sIQ`XZaQb&Q;HrPU`}nDW@-4u1zVY2x zk(84CWBf_|W6G6}({-eR)`~daAJFbLgVXNm1}A@agOlG5oc%6*C$DBk2#0bh=j7E+ zlvneBeBZyEy`{)^%u-4hc&dLhUV48oeWb8QQIB^%*%Le)XEO}WcF#08+r1ZX)xYYV zVs%E?8$8v1#p{~3Pf?FI5A17rVuv>m>}Pn=j_Q2^b?;z*@RUERJn`oNkke1}$AJc? zKMn#Oi`Rp}Q}N2@+*zm`0y+1;QtvhcW$|@rpx(oPtNc*eN15+49uA)B2kg9KRv(7vc@&)i$+D&=(MC+(xd1u}_8glxRemlnC^z*R>C;zx&JL@p12si zP@cF1@+I*%^#i_9?K}s)6msi_%M8wbyxidI$18yA`NH=d`zr(GuL2&6gR8-d#lbb; zaU6*K&U1}xAy@g%`M&CPkgGWGuJ5l0&-(8M;Ho{|bHW<~@L{eQE;>Hk}RGaiKR ztmAGCl)DYMvQw@5s{waAc=V^#JG|5^2hx?5WO4`Os{gBp$N4Buk~_g$8h=HP_q_Qo z$W{FIZ)r|{-8ikW`f2;S!DBy(K9`4k4flY@xXI$d^E*BFf~V#q=brz4rasZ*y-#^R zcs4E`0IuS0NV%u3Bt zY;Y-;A&&r8ao}CgKMJ0z*ICa$X7sb(#|_SUpD5Pr9Vbr)%0Fdr*7vl*S>H1TC;wT4 zlm8rWwpaMhxOzTN?gij6f4*q+OTCUiUxJ+DPU?5|cP~S(;?>#Ty#l$7gI5jC_Pz!@ zX7}sh&5OTM-Z^i7131T}*zL`qZ-PhrXvbT?W8?L0@YMQm+malp?vZ{>N@VXqJ`eti z9nO1q?*g~=zXv>4|NG!EKE(bp@{xAAc_L@J9ZB**QO~dr*+r$Fx>v(F`4Bv7$43Si z`!nQYgVS%H7@Yi14Nm@Nz*WB4wk+wj@&b4@-+T_9%3JAvwxhYVl3>3u`dROn24}rr z0guJm*Wju6PJg#0zt{6kQIGeW_S=9R-x-{Ce{XQw{R432FYkW#$3Xd?fQRDo=Rmn% zfX{`$VrTaK{$B(9-+(LsR_3Y7e4U5h@8HoMY3GR2B>4d*;C~eLc=Pk0;Mw^7%i#3y z-v+0D|1miE{~Db9{|rukGD}5Z?U}{kYoib$G7mE{6Bl3+#JATaWZG1{9M3Q z{?zvZ^MN@xc$^=^Zp};PG5Xowc@56?&IeqryS)2``2*z_0IuTByPjMSJY~1ybtDTx z&U_ z1zh#B_rCAaf%3~3oc1njaN4^ZaAmLex!UsJG47?j^SopQqo4JzXmHlMlEKMe+2G`_ z0$lmU``m2RK>5{xt2p%D<6Yg;#X;XCI}>qD-_nR6ag2f6aokn%M7f#2+d)z$sq21PxJ*O6=pIrA;; z?q+b>T@O5DcX!C?Zz-3zD;?TBAdkgI&p`dXfZO@BcYxo=;A~%CgR_18fGfXx=go}* zm7#! zz*GJ0+^27VT;(nAJ@A16I|dn?{WsX)w0j6})qmdg(@^k2>!)Fmvwx&s@4e|Q4NvUw ze!pXQ(Js|L)qccfx%~MO+cmOSKARs)t))rwo>v}Mqrg*fFd}`+wPj}Olu0v7$!N&c zJUhHo7UujQ92JcLkMTk~wgRsD(>rgD4U`{eaQ5fc24{WS09XC#9go`v%8xfV>)X!Y ztZ#eZs^9rMrP@i7$94cOw11sY)FbCbW)UxXb_7q2pPZNG%ZZS)A87wh2B-Zy8=U-I z3{HLtIM)lpA3eRfvx{d|lOUfjHAenPxr!X;bB&Ped|r}Y^Rg|S9H_qxJQh#82FgzX zuHxDIJJn6#ao&=4j4XGw;b$P^ja(xaKjiaPx@g}Gay71;`FJYiwx3!IPQOnBuHxF8 z4_b@$I_I}-kSqUt*P+vkdcdn31?&#Fj(gvIoObXSFVY@oec4geQ@w|o?|zb`6FfD3 zwj9!CZh4&bXgpaPnsYXFG&HK%Yi4NiMcFgWc!vBvsN3Y0$?xQb`*cf3vslt0zrwD&ZF)85m8EB|`e z5oZL-p9$RV1I`NY&o(&iJICO(?_7hEf1bg~KOZ>fap61X9v1}4U1)IDbCJPW&&38O z{}O|ff2qOAzs%s|Uk+Twf%kdR72q*%NO|Y^$CX7r-gVnmMLpxD$`6pquO4T=n0Yni zoVUe(Ij5hQ|33RQkgIuQz|4-0{5it4#q!R)ew~p^JDmGe*F&z>7Y$7K}KW{9S_nvFr6exdlvAp+pc5VSr^~a!&#wPjQ&&H-SXWnY`GY)PuIPJb2 zxQYYs`TQM$@^=DP>yoiulX!u#n&|HWPuZ<_NpiQ*PrL6iIPJdI;N;(DaPsdrIQb74 zocsrYE5CU2T`u$Ub)85a3tA6+1Z~i<`{tJV%zAp{V`o03L z+ULzhaE#zZUg4?;HIFx$>uX-2V<9#{v8EkD?vk z?68<<-Pqq zJ9we~p2O&8yXQ1G+dY@T$)DTc z=$hW%EK}v=^eAVEq8_#WtY(rWi+U6>|0Q3y z=D!fToYBj;S>E7`n-vUB{)z@Cedd+ zxfgh9o!~u>?hT$gM{v%g`xNzfp9}Q`kLN(CU3kw-vQ3iogPi@%aj}uXIW9IfIQg3x zocv9Jt32YIcWeeZ<4Vd6oLQR8>)^@eMlb8z!r-j0KX5f(yz}yaK=}sXs(Y?D#e$nUs{jy=;sd3@%bMS0r z%c4G)mo`@Z4foh5KZh=-J@TWu%5fvWW4y87MjD*`Jj&qYj|Q&dYE-$oqeBjuvf9Q3 z%54Rl@h0^+d2B4?p*%Lu=%t-o8=Q7-1DyRUd~g2V7Cb!Fok`Y;SPdy@SDN_XLBJzoWs)p9nl=-%f$@I|H}p=eq>>C4ay9Qc@4FocIoCl_-h1A75O{Xod@yj%5A@d|2B*Ic1+M(1@2%xC z&tc%Hc~SH7`)!AtdRYGv250?88ojB%eD@TN3Y0$@xU%2d-^YN*{2}!_?=Ku%qn_iy zQ}N+lmmCis`+@B}0k~c_G|iOvJSI7>gC-{i%AZs$@4fGJa-jSvz}5Wi+@n7=Q0_E? zvtLg)INNy!@L0c`2_DZWq`dR~(piwJeCEDahzLC!Joby|ae27saZb@Lb#78UUpW^% zj$_fMcpb@kkh6d3kMj*qe_UX2@-H+v`4<6adxY=(p7X_l@|PH#^<8Rk)_0k~$-ms- zG}H$Wa+$K4pP<0jyoAEY0gdj~fM%H0B-{*iLdymPD3EA4jXo!cN+c6;~fw}Z#| zN%VO4>34v~`9kdR-nYFIJlh|48JzKWx53$e_taS5y@n^{N6eHfbLn@kD_=&=wqwbC z;HmNF&GYvM?0LZ8wEsba)BcAHPX7N4PX5CNC;t(Hlm94i)xX~N3m*ed#kb-m$>Wg6 z{PILmk8@7@B;@RO+W(ZnY5&u}?f&MO0RLIwD*n9ZM9+bz_6=2@gu?TXt32nuH~)gE zPwdvbe0}sHcxpbwIikA&cnLiEhkkguXpeWj^9p#XAG3VM=UlHA^{Dx+nlE1ik9kGx zP`r-hb;xNa`|%Bf)BZPstA6q3g}1+ZyTP}?>#4eCt%OJz*W9= z-Y0r5Q0{$$v)vyUobCS5;N*W~aPmI}uKYBvG`(GR(ap~L%AW+ve`;{n_nE<2-{%G= z{|keY|0Qr`AJ0YeJ5*^V{VGuYYv7Desn0n_`UdjQInuXAFYW!#;I#L9;OeypjU{HG0|J{|wId^2Hg|UY%F-{pl=7K#WHzuX%a?ofSNl zf92eHa(Y9tvrP^Rd6{H3@R-+V&+NtW-t(0?0_Eof&b%h=@9(?sG#7YkUK-ohQRe3i zlDQ#Qe(}x&^MJ>3mi33a?=Uaq${$#NyYta}MSIfybA=>hXnx4?C;fhWHnJ8lIQ_Vw z!O369;N&lCaPk*1IQfeLXS;>(JCRJ)z^%&JB|?Ox5`w0repz25s$Yk76z&id*M&iXbe*5};^ZU|m%AK1;*!}{wD&icC>octaJ zC%>n`$?s)w@_Pf1#ao|1`M$u_IIZp%)ca8V0_8WVvHZs1sr+B9M>6XskjLIf*)(9s zX24^4fAc{3Er8qoSpNWjfWg^M4F+dF4Kz6UgA7joVBo4>vixB0hYksp9|~N>h4($< zVc>BcDfK(wY1tBTl@IlI@Yrs#$K_#tI|@Af$>-3{L*m1}A?TgOk6l!O0(QaPqe^IQiQfoctXOPW}XglfNTy zHQ#&Bhb9Kf?*v@Mn|_{>uWNS(PxY_nK<8W1#$G;Ho`Y z{po(S`jx;WDF@2$YH<30ioxmsCWDjTY;f{-1Fq&#@4Pk@yx6?fV(MZ2(+tk~TY+=^ zB7En$OIx7abl@?&cMp_r2Oi7w9pI_?##!HYLe4l8`vr(Sx7kGTmCcL3- zEwZyJP046`K(5x^vj6IAYHyyAWvV?PS8?Qh9xwwul|L1)Bbf=go*(76DBA5iOM8Kb zKk0iLnH_r@oc+6x!O7njxN5g^PisHO+5b|`xu>Q}t3 zj$?~@yna0{V8`(WXS+`@INN=q!O1_#;N+hST#XMsALI=^1w4*dDX)3?ym2acDnGc- zO`-8L@Yp}1&*kCy>gnL&PrlAL!{BVsnZQ+kn=rmyp4!2@GO@CNISV{he?yae9*^JP z;P;`E87~QY@x!VYLay5Hy_a@T zp#F;uPJ1sgIPJX@xQZX|xzT0dseI+^w=aiW=hvC7o$Zq8u{Ev)&J_VWt~5C9zRKXV z`)c6q|J2V-&7E?EGoMOvt{H?%MoI1bjejDWUZyKk*-*vwoJQY9Qb>1BTJMJ_%`~5D1 zv)}JFIQjP&ocw!%t9Cl$@jl2I2U5=Y?#um<^ZZ)sbDjr15UBS-gVWB33{E@$2b}&E zzW!chzM^_KQ2r6%vABFRQ2sH4)85AoPJ5pK9?Mft2FgDLT+K7ybLOW5<)5js{$~T_ zp99W*m-agMBc2bGdjYtLclG?U`keGdqhI`{cpb@0kgNXo{+_|hh9`Qwzhm+Wc=(gg zv#%PQ{r8&DEA98ri?0XDzhQ93%bNygeQyC*e)Hyuw*%$hF*xgc*Wj%0J>V)naX)!_ zvs(To?+40%U~ty=p}|?-N5Iwi^FGJ^*zlyh_rA#|;Hh(?LG3eTU*ycDN%CpHp3i{m z`PjGL`8-hm3xl)$UmBe4{|dMo&)b&U+q)Y1NocGazYdiD2Dr-8&VB4}1LeL0uHs7V z`>KzgzXy-;Aa;+EkBD^Ow>P+4OnxZp^Tz3q0egM|&UKRb&Dq!g94PmT!RhZ`4Niam z2At=P!gt=w{5??a58%pQ-sc>D2Fm|saN7B|!D;6|#rnL@r~eI<{|~roXZoDJTaU^% zAW3Gg{2$Qr{rW7x)p)F)m*=x-lFSO8TBkYhh0SL4v%Rw$ob8>XSZ@|T_S|_+@brD{ zwyC}P%>`V|3*K|YxdZjj16<8(&boG9$T`l$Zs&Ii=7U_tuk)OA{y@D87@U4u(BSmb zLclp5h40EFZ9E1>oxW z&*+ie`y?v{_$wKl?Ooa6Z0{<-WAU`2y!T+P$o`zmz-J2o&l?cUJfw7VN{6<5md z`SDaz4_>H$x9k|B^Y z4yAtQykKac{$apl<7&%5`QgA-e>c?E*C!(a{E@&_|9QvNC{vzsG1}mai!s1M?cXX; zZY*$Rk9YnUXY@H0{17`$?IY-`A4<7XRV2ivu+!P&0yz*YYAo^x&op2{ED`fWPC z2lRi&t};xHYKb=P@^E*Dg={={JRwRp5Fmsw*-Vllo84t4B)Ge~ySux)ySux)^QwDJ z_0*O6s`G>WICbiD-MV$9Z}-gX2s_sgU3W&MgMJ3ArFk-aR65xScCnw#e&-Nh)0d2g zo#!8pZ)XqZ_Dt~bc07;TMZqU3_^t|GQt(L%-l*V{6}+tAQxtrvf=^TMih}Q^;L{bn zNx^3*cr$PwC)6*K>9^uK+A34%e4)9$Me%D@@ZA->O~Kn0yhFh|6?~?G@1fwc6nwUV z@2TK>Dfr$BzK??MtKj=7`2GrhfPx>W;0G!A!3utef*-2jhbj2s3VwuwAF1F+DfrO} zevE=2tKi2e`0)yUf`Xr@;3p~g$qIgof}g73rz!a93Vw!ypQ+$yDfrn6evX2ltKjD; z`1!zjUqm=FJS*>MiXKA-mBb^{-zaE|>7b^M}Dfq<-eu;u# zs^FI?_~iBd>DfrC_ev5+Ns^GUN`0WaQ zhl1a!;CCtb-3oq>g5Rs)_bK@O3jTnCKd9gjDfq(*{)mD<3Y_<$G!7fvX16r9&}gKu zuSp(L{2o{EClvfi1%FDxpH}c^6#Q8Qe@?-lSMV2r^K)3r#~ziAj&xgHNoTGX6~C7h z{AEM$6~*sW1%FM!Usv!q6#PvEe@nsNR`7Qe{9OfqPr=_;@DCLHLk0gx!9P~;PZa!9 z1^-OJKUeTC6#PpC|4PBXR`72W{96V8PQkxd@E;WXM+N^$!GBipUljaT1^-RKe^>B7 z6#P#G|4YIDR`7p-i~FFNJIy~CFo%NAso--d_}mIU zkAlyu;PWZ?{0hE+f-k7x3n}=*3ciSfFRI{+Dfr?F{yzm@Lcy0*@TC-dX$4*dJ4Y2f^VSU8v+;o(^zgQb#VV|r1;e-_{IvpiGp`g@OlOBs^Hxeyt{(;Q1G4# z-b=xID|jCT-&DajQ}E4!YxDmWirAqXyq|*iSMUJ}K2X62DfnOoAEMwx z6?_{7AEw~L6?}w(k5uqc3O-uFw^i^l3f`dLV-au5$0_&@3cjO)@1)@46?|s} zpP=BoDELGL-&Mg&3O-4}8x?%Af|nJ1ih@s7@M#KOQSjXqe7b@+DfkQpZ&vUY1#eaG z-4(n|!P^zQL%};0e5Qi$q2RL=e71t`so;Al_}&V>kAm;3;QJ}~{tAA8f*+{h2Pyc$ z3VsN1aUN2dMZXt7pS~-n`@=&Ozrz&#a0Nd?!H-n%qZIsT1wTf?k5%yF6#RGvKS9Ay zRPd7&{A2|`MZr&1@Y59hbOk>{!Ov9ivlRSn1wTi@&sFgA6#RSzzd*q+RPc)w{9*;a zM8Pjr@XHkZas|Ia!LL;Cs}%fd1;0kYuT}8t6#RMxzd^xoRPdV={ALBeMZs@X@Y@vp zb_Ksf!S7V?yA=Fx1;0nZ?^W>o6#RbRVm_XdehUwMlO&ziC&>ef--8PNkb*y~;EyQy zqYC~QaDLB<&a)<0+UYBU@F4JU#qS9Pe^SApQt+o0{22v*R>7ZB@aGl$1>nwoA^qCu zq*A5a++JyaQSp08!CzMJR}}nJ1%FM!Usv!q6#PvEe@nsNR`7Qe{9OfqPr=_;@DCLH zLk0gx!9P~;PZa!91^-OJKUeTC6#PpC|4PBXR`72W{96V8PQkxd@E;WXM+N^$!GBip zUljaT1^-RKe^>B76#P#G|4YIDR`7om{9gtCPr;LU)7d{sg69SbKBt1urQmZb_&f?e zuY%8~;PWf^0t&vMf-j`t3oG~{3ce_C{yY$^TOH-*&gvpdd0tHMTU^2ar{GH{_>u~~ zl!7m<;L9lZvI@Q&aPdAsduJoPDxSSEh@___+d9&mB)-%4M?*~aJo>nna6DENlJ#XhXm*;Z=qNPpCu{%xfA z)hYPK3ciVgcTw@}%mN5yX^1s|{A zJ1h7E1>Z%%Co1@^3SLt1NebSm;FA@+tl(1=e5!&^Q}Bv{@223>6}(BoXDE2Hg10Dm ztAg*Y;B5-tuHYRC-l^a-6?_i`pQYfl6?{(x-%G*wR`7ikd|w6MPr>(B@B={gDENa4{*Zz{tl*C*_@fH`n1Vm9 z;7=&{lM4QnfK|4hL@SMVEh@___+d zo`SCroWK8s*6&I5wLtW#&z7b#Jr~GcCZXp78z}x8D)>eUUZ>z20~hySbgn+Lvk9LQ z-$e22qTuxk-c`Z7DR_4U@1fv5fs1y~H@VQ~G?2(%ieGO9@1x+GD)?p!zPW;Lq2OC8 z_*M$OwSxCm@O}#3U%>|`_&^08q~L=Ue29V%Rq$;Te3*g{SMU)EK2pI)Dfnmw-&VoL zD0qW{k5%yP6nuLHAE)3uDEN*FzLSEFSMZ$`e1d}SqTmx1d{+f8DflD>Z&dKf3SL(5 zDGEMS!KW#BMZtGd@aYQPq~J3Yyjj6p6ueczcUSN>1#egI4h8R2@Reu{#hs^F(7_~{CMhJv4|;AbiL*$RG+f}gA4 z=PCI43VwltU#Q?00T*@Zyk~N;;&+LHU#j4jDfs0IeuaWxso+;B_|*!2je=jR;MXbm z^$LE2g5Rj%H!1kd!1?=u>AtD0OkWSv*;Gl-Yb$vDA-P5Izg59+Q}Ejr{0;@bQ^D_2 z@VgcK9^m3WeMYIhz0y>DeLcBX@w-pK?^o~#6#PL2e@MX}R`5p@{80seOu-*l@Fx`f zNdVeQNivO<){+ojT z4qTi&wb6UMv>H_d_(Spg6F8s$wbJ)yH>N*pR{eTpycL`ze}TvE`AyG$&%T3xN3ME6 z_c!ePIj2mgGC7y|$MFBx@c+;7Pw>MQ{JuI}zyCD)UHXQ7BX}e z4&!is|78)we^JAKF~fgx*sXs3pP{ovL7gQHouvxuEN$p4Q&4AFLua{ACp!L@H*{7A zb)w^EMMGz$f;uZ3I;#}aS=G>44R&ojuWtCS0XzOAG%t-C-B8zcO~Y?3*sZ!<+t67D zc0AtAuHVotN!B&|)+>1Z^$nd33hHcV=xkI_r_RvX7hRz_^MLweI!(c;a z2<%$F3^n|>fnBSMVTS*3*sZ*dFmy(SaX9;#QHK9$*hO88Yv`IJ+ZujjVAt~3VEB)P zUF6S+dppB_`_SJRm*Wio9bgxA6x|=}Xz1)@#4+CR-x+o-j}r|4U0}D`G11W36?UyZ zN{0WWFplWBY&3Kx8*!8k|0#z5RKtH-=2+*M>ULdb`fhxxS#z4TjE* zu#5h6)}5OS|C>X9r#@~m{BMQb>fhT8o!blQ++pb4Sy1OLL+5VT{dx8t!|z_$wf?xz z@W0>if57m65O&cY(fWMI(0Mr2iH_Sx44p?|*Yfe0;s1CTN3=ap7&=cD)OpI#c^Y=D zJG2*8MxQhMpNC!aZ?s=tFmzso-CAE>GIU;sUF4(x?EF_>E2UQq z|5stR+Vh&B^E&Keyk_S;Zy0`W!j3=rbAz`Gzqer*?RMtPcMSh`VHfR=*7bXa&ikQG zv>rY%bUuV#YtKi9|Hp>^Cx-v0uv_)`nW6JJ>>{txe0*W(d>QIQ`{ye|=WE!tynbW& ze;fKc>-%?x|M#$qd_>#vgQ4>y>|)+>p8Nk~`2P&M$b&Oa{9^e38u~kV_|5SD-SGdz z@c$Ebk;iCV{blI<9me6z8~+&o|H7`_KmKRhX33JT3bRe?h~4A;W)R!+#OOe^J=2eqGGa!E02>;QphA&yoF){BM%r z^`LZ}96Yj1*JMsOXm!G$XV&tHpJhule|-IFBH9(5zj)o(bU1FI6CJ-8K59HjpNuD} z!|#V_@h~p(;>-j5-Xin-_rQ4ES?%HZTGQe8jV&FHQ`2F8=23k(?csG@^IsBm#5&|3 z?Pvb|Vohi1P$$|y%NTXLY(bsn44vf*>a1YstXNQIB|~TBf;y`hI;+C2_4jIq|LUQ? zGvBUZ_^%oIJN34f;lDQQT$kGO|8)$Vbzv8E8?CqX44w61*Ydf6;lCm5JdV=&xjch@ z|GP4yrMZ;7ikLArGIZ)-x7xF@p|c6>qCHOkb}{_x3&zpa(4kkbvVU3}-3|X9u#0>| z=cS&84!x3+{p0zV`e$VN`|ItkmA3Q?e0m%HePGwxv8my|nc=^=;lBm!yzWr^&ih}{I?6Q@63za8~)>9x5m*9hR%*g z96K5Q;|>3v4gU$STkF*>hEDa@nv;CLPV-W=KPFW&&s`1w66`Xc^hF|#9W66vH>NM} z!#>H-X$*Cu^U`EPhn9lupQul#KBgG{Q(>3wiG99enxRw8ULx;vqV3tu(3xH^o+d+Q zMnRosL#G9HkzZ&0w;KMt!_N1cRBzey_cp_i>&WVt4nwCiy#A;G^+__*@Y@4+>-w_{ zo!QFu_cZ+W3a=lnr@alGeL|h+y1lQVvtL1-{SBQ1LY-*44m5NQ3U#9GI@r)Tq@d2B zhR$IHbq+Ulj(}aPm(ITTNW=fAf^i&e=o|yP828S+daU7pT){YwH*`)YsB@yBa}w;< z`gyXUa|-NQUQRXqPlMf>S57x{&VXIiiLWJ9p@T4=fN)W>8vm3 z8~zu-F5-yJCl?wz7s0N@ak1fl3G7;bTx$4V2D{ac%MG0?VE5PCD-FM^VAtAzwc&qF z=B5 zZs^=$#BrzLe;4ecf1-K4+t9fu)QOJQdkvlYLY-(l_ZvD7z^?VrgNFY@hX2Ec|0A$l zd41H-c?@=|P98UOo+ud4lZMVy1$CY_be@4->z`*0|L0&AdFk609`h#88#*t*F8V22 zw=WtxFNN_$=arWYomUFR^QxiqTBs8pN3Ru(sI-i9)(Y$>>Zq?1VhR%1eYyI@S;r|2dvhHH%YCjq}KZS8Plf77z|h$c_C+v%`_K0`GW_dc_xodG!*3JVMSn!=yNjVy54+YMT@C+k zhJSa%zX$AAJ9-*Ay^J_|8~%M@*ZOf&!+$f_t#)i~=xk9?XG=q8E7(Q9I_t>RhJW8M zj_ADC&(P@~#^KCY0}TIxhW{YLe=zL+_!?sP4TW9wXLKFi#?ToCyLDfImxlA_@%}z= z1a!nc)Oj8>(uiXe?6N(vd2_U(vu#10F@{b9>{@+}HT<_L7{~U8&N$e$aleD%zhl8T zb~1Fv8*%Jx_)jPp$1aA>#DY4z8aky=C%QgOGISbY7j@#yACnFLa=|#J7&=o6>P$0q zDxpqvUfs>mnO;z*$>?jdz0EZI_kdl@)6VnQS%&{?*sXl*Y3S?)yEd=wZTRm4yOxK24gdWN|NRaB17H_< zh>nv34V{Au>Ktt798yr{P($aif;xvAI!A;$(Q$L6p>tHI6V3C{hR!hsb&fT3jth07 z?KHV`sm0vf+OU?4o|7?KsuYISqDg9G`CZp8>nbgEPOMY51QN z`aARC*@pi)uv>XJ*U&kypw9V*&IO@PwB9c?bS^5WbFrawNkN@U4V}vh>RfK<2@P7z) zE1wS=I*%08dDPH(tf0>0hRzcOb)GbIo`T(aPxEO*=b3`>JZtDYS5W79L+6E1Cps^^ zXz08Y>O|+smkpg)3hKOS=)4BIm|vW6{kq}*M!`7VG<4o7sPnd=^A7ByJO0_?4q8WJbZ8X{{Xuc|Br^wPX%>;HgtX|sPn6#^INDBoezIEbpG({{^!~L z^z8om`d_e%{&B|p--iD`uv>Nduc7lF>{dVX7l^3ujm%knASv22s4}Syzjst_pA&Y? zf3DEq$;aG=|2(j3`_*|3|M`sT&u{oI0K3Rzw5}F3bQTJAqU-F!hR!0eYx!8z@L#N8 z9E%$||ASrBg>!$lgyFwr=I&*?Z0KwPyQo`dJa;kt>kG!w)zIk%yH;=A4gVem=DT0lUaUbp9M^=!`Pr7;X4( z3%fS|jxqcjV7J;a*3j9mpw9M&&N$dbdz|M(I~e{uhH*sKlbsBm@nIa!`Si|){{+~z z`r5_tp9s6?muNe7HFQb^btV})jj)UMIP=eB!@mr>whm1({HMZh{y6Lu>PGYy?R3hK-t|Mozo1R(+ldHVd$I*yS5&lW%!>ByR{CTW9Xb~#BrYCe?IJ@KAd{L z!0^8?^moSXMTY;yp}%weOAP-@Vb}WMGQusfof{0D8(|mqt#_}>Y; zQy26+>@LIaZrH85xW~}Bx1i2_hR*#3bsjKu9t?G&>*7O(&cm>4+ zcCDX3GW{dU2X6SrgQ0EIn=gUwhS}$K2I$y)C<@FoG|JyK*XuW-B z=zMR)@q^+2W5GCnGIV|}sPl`V^J_t!-wd7KL!D?p|6%C-3A?s_{$=?89mWyu=YI^H ze_U$j4IGh7K?R}0p3+l{e=*(SEXC6am-cTpn&+{2N^B2@vz|dJR z)QR@@LWa)51$7oNbQTSDqWM|O&{-UIt^WRJ_%9L05zWhzhR#x99L_#$X~TaR*sbS+ z%Njb%!ETMGzrpzLuW16 zt^Qft&{?OT&bo%qda#SUI(56g;lDw_I5sqNHZtOc!;lE|* z@6`ELhX2-~zjOV*hJQcUt#RMq&>0ZM;k09*;Xf#hBRWn78#+T^7w2Mq2Xsr4p@!c! z;q{~AW0;{c9Coc9Mi~Ah!#JXO7-i^;4t1jK+1Ah*Q&6YD&>0K6$cs}S+Zq1b7mQ<^ zp|e9logEFGokE>xKaDqZb`Eu-{WQVQ*(IVAJJ+6Q=?BL(7Cvv&LxJDyJn{xZ=SJAIy1&WrzZrIGp1j4-xiyT#nXhj% z{BJK9#~p^wov=Iok-kr2_}vY=mdASx|9fEe*tK>1DZ~G1*sc4gXAGTZVHb50ZO?Ot&hrIz zUNCfCgk8(aONRf;1><&TEFw>#%Ee|AyiJX2Ce#GIZXC-J0LuF?8OA-Kx9y z44wC3x9aW#L+8VSIv*K2AH#0t=MzKcQ`ois{>|WcZSaQ1$BNfbbgHJ#Lo48GIV~1UF+{(4F6vvam4O7elv7_FR1f}q4Q@% zCzhAL44uDW*Yfg@;s0+Wj#ys)Gjx)hX2B_i+LfUOMwtzozNx38ho4|acC_BZ?nz%JVF#6QsR9~AmKpYIxM_z!{IYX49}XB*h9 z`W|NJ3@@lN!q6EByLI0;%Fr1NyEcDpYxs|WUF+Wl!+)&dzn$T~J?x@iqT_v>p|eA% z6CLk68ag`_)ERH+>YWI(;0?NGwh&ues6V1yJhR%_&i}pDEdz9gSbip`|F?5bC zsB@g5b3E*#J|#E0z6b0i!~bOC`llHFr^0U4`)P*G=|&u982)F5aYXC% zEJNq)P$yca=NLNYhC0!B&NFn*4|SsPTwv&2SWxF8L+9dxI+qwam%^^q?PZ4l<*;k> z^c9Bxm9UF(H?XO*y)vWHNMBN2DP3jwUk$re_tzLY*TSx~<2u9tde}ufocZGh!~aIu zML#&-J9Lxbe>3b>9&RyoZiQWI$8CoH?S}syhX0+gi*`iE>s^M<-Jwo&yxwEz+zY#w zkNXV&`(YR77ULSaCCLMZ--E_=A2R$OHvAtk{2zr~^g}d%j~P0T7u0#e(0Q_;&QpfY z(*<>&F?60SsPmkm^E~X@xPQU$e-U=AK3_8YUxwZ4=T{7!R}1RAX6U>QyVjmJ4F5Mn ze`jC%mf`<4?AHC$JBH4?uv>Y3&(L|lU_2ifIv>I=^6KQ}Bg6k=*sb<_V(5HYQ0Fs4 z=X2P#_4*6L|4Z0KKAiRXE5rZm(BH}DH-`VWuv_{3&d~Wj)QPT_KNvbc!Y=aRwC5+o z|K~7{=z8&sq4R4&o!<4$|3|Ak?<#`_|M z&Z1!)PF*f$_%9yD5uGpoXXq>u>O{x;l7`Mw1$CA-be4f#tFL7Z|K$qCvAm(Pf)U4x zhW|=o9MS$++0a>~pw6m>&T6oWygGHiy5YY@=z%v++Mw(+11b~!7l2;>DNhye{fpFG<5a~tS4ox=^CBSM|% z_eUIQ=o|&R=w~OtM;rdfz;5;Pv4+lZVH{4q9dG!b0K4etX#bpO=$vH4akAlmO6c$8 z^HjtCG}yIu<8;ISjPUx-d(&qc{%651@)(^z&Ng(;DX4R

    tlS6YbaY4V?>M*XsO2 z!~Y_~|6;@c64lgkbND-8RUuv>9nW$0X8Q0E#$=h}ig*BLt37u31I z(77?xiPqyyhR)5fi+XhW@fO4X*3jRXXKpk6Z--s|I7&>py1bJPx~7 zpHCS6PZo^hDMRP!P$yca&loz-hC0#yea_H%9(IuzXWYGD_`hiQzhwBo47(V&(RRFI z=)4;0MDzNZq4PTI+J5B?!~e}Nj%a({GIZW9sPm4Y^DgYxeb{@3&ik;7I&tRr4-Eeg zVYmAEBjY+B8`t@y;B`JVbUuUK%G>9L&KIzYygB3ROT+)Gf^mFp=zL?u@vY(i9qgk2 zqT}m(L+6K3CptcUG<1G~-Rhs84V_Es_wj;qtK*Z@>XAaoa_efwD*NN8ST!zlvMjZ1P{`0~v z>M(lFJfER6KkQa}7BF-cgk4*|7Bc)74&#XS-y(+2qK193@H)}{Tinq3U#Js}cL_sh zN!YD(pQQ|)r49Qsu#38P*3o4R|K(s8brNmw@`la|1$9;gPphYujO(lnJCBc+i4&{+ zJY#laxuev?&tX>a;%Q8ImB}rWN{t=mwo0Xh`=3?8<9^EYYP?){JdDs)1|-o|U({P%oOdjlo;2*3O2Orb@NEs0cTKo%2flShMG? zOOh@gPs@Kjcvk+qf@ig}8+amb(ROwR&+5+};PHEm)ZQ`EDto3MmCD9s&roMTxhX8% zUf}V#Af3_u>iZ-LEicEUHSa58F*ganV0wE=HOX*+5$W+Pg}xn zwR0=*IDX30;8IglrKPznMo*G#T`;b`MqK^8>uGh`A3QH#Jn!cD8UP-??kyp`Y$Ofz zaB5eE4+3uGcQAOO|NECZn{fU7^2reJ7O0Ki(PPHc)py1J4~3oADTNE#xo2&t-psC)EQyujD+2)n^EA2{6xq7Xz;lG)Ia^3TG~6>DwDIZu`TR8FH?SM zb{g?xV7L0K0X!`~V+-nRXXtESP-mQ>vjgl_o_7S#8lO9XC)Sa^&82c1ttHLnQaKq9 zJD=C4b=akAm)<)A=W#~;)6hDt(ma(%8fLHw;BmaEzr(|j*af@=YvY0Tk+c$5s=!3p zxgJQTYKQ->uv`6I0#EDjNw9N!sa^Da=XKp0f%AMp*Uti*44m^!{PCm9={{l_Wsx=r zXiphD&KLPhUcOP7Qc!PdLA`0<@pwzyGp*bz~g?Sc0~8vdwaaJKb-jj1-lP;*1WPWc$~kqeR3Vy z4|c6y_lMnT-vQu>_95=<1wG7CNpc`~Tu*7fL{IT>Ob!b5Brn%H7(8oy9|9h?19cpX z??Xd9=el)0tMz;scwFzKSE*F$>*{+{?T5o|)#VZ3@q9}<_4RdKyB`Uh^QqOrQQ%p1 za5Q*M-a9JI`Lt0DJ2?hC&L_nay}v)UV0_0FjPH2xxDKhk;y$uG;e;?QVb7P3EMa>Rr{wpBj@cqBh-ubpJX!-c>(UTT-9 zyYhsKU>E%+?6tbQxL_QYC~;isT}SJu%fQq6>GFa)R~R~1!Y=wLT8CG8*VE>ctHBfF zB)X1X1D@#j=sI(4LA~q3_@ei#*B8{gA&f7&&fn-=m-;ihFTKgTF6A$}FTEK&?)P;3 zmBjtSEwJ-GfOMRF)UB}dI+Vtf?)z^8?(f@f2hQiD#2?YGu5VY`@%2uZk~=&*U9U^G z`aX5NhSzsb?RUa1>POxWb#{Q!7=o*yje{}6cEeci*bTlszjJS*Rig2(Nq{5bpO$6)7m zllq_S+1mOz>>MxoQ$5n7ftKn4#}lygyj!i;sy!8W5_Zww(Y!tdo@h^WJU$Jc)}Ciz z*V^-J7*DkRo&!&`Yj}BT?bz^n*tK!>f@k-~)r+1!<#kN$9=1|?33gHc!k%w?l9xRm z=|uMhuYkw%4#nf_gI|SR)LnEve+@j*Pm-4h_Bwc0zrPXcMf?5DP%nBe{uX$m|3}Q8 z)za9~*qFukcBm7r$9KTvx~F_O=k)Kw?#;vX?*aGchxbGNfWBRNbo~H0*AZQ3ARQ(( z_v}&MEuDWqgq{11`ge5S?fQ4?H6^ts$w#pJ*ZUZ_=+Ef7{|R`a&Z7IzPr(A=8H!qLmbMQEBYFE~tFFc&`k>Otgx7zbnc>QR5zAmWuO+meH!4vb+kd~(GyogRG zljJ+tMP250nkJL)L;n#iR0xfo)sM{m06XW4^YSBbYd`-JctM?Y>Deny@XxUGdmq#v zqgpE+ogG>9N%9Nq+&;QK>}m8#@+<5-FOdI8ItHhK*E(%B-KeBzwCTU!LY*oPrSUuL zR-OF;o~YaCe(+E5#Q1T}yZ(aR&+FeF&h`0^hjTyt3!K*r;*0x>@`V3j7x4;vzCB73 z+}JRWbfWvsIlvSB;p}JTgx#u(xxDL9d!o-d=Ju{faq&JOyVsisc2VDK&w6%V!+$=* ze}34-_?P?3d>^_1cwC3n9?8oSy&!m2oh<~Owhk;D#uc4s7Xgp^mEwxdON)Z1)zM<1 zPPC2|_juG_(S5=Hz~k{jaXI^fB|@EOJuV3z=aY1z_diR4$90m%CC_P=hMn6_I?g%G zGO%-hq;)v0sim!@wW-wJktEA{`e_^;ZROVV=zexbDOnD7>zrYE@bD)go$MTX1puNB zWnS}hj}^fabtrlHLbwum);L`mJW)Th4B0tW4eO1^+esg;o)M~JEJy3qhUVFZ^ zI_zTJsoK$^HDKpDNc%VTUdx)`iTp(OeQO!w_oS z6+QRZ06eRXHVpNmb+i$9Vq7`Thw8lRrQ;%h4=1n2B-z;GrTr()8T0zyq+ncKz_aSR z9z3hQyMib7DT9YK&~Zku?6@N72D`tWclY$YcID@%J;3Aor#w0HVb4$}Iv@4|kH-P> z9X!YA4W5;sKH%X`IvE%)?D_JV zY#GKCyL7idXiS|Y3x#0!%Mi_C840WRQGzvVP z2h(vP@Bc@`&g&QDoA;?%-)$TEvpwsxF|d36A3V2e08ivc&ZBw%k2T`i&WLCGFdn(z z&G*IQ!gwSvAGkY!$K#3e6Ma6kBY0xGME4^*fyZ^5>XpR#;dt12TvC7K_B2U5!_Ijm z|G{N?F6V!t%mj}|I+B;?dl&G;c#GE2M2|;$4YQj&XrDPvyqA$AyMo8{M)B3wRk|}S z!Or!P>crOFN#6BHC%SKH1W)8WdcHE*yKbr%TgS`baegU2$;*YVnyujkXj)7JAQ*m?b#iu0zy{YMR-BRjE>|E2qj z3`^4YFr)9U%n3VW^ZN$Y=QzmU*;nIhU=z*<^@Fpo#>aaSYh2=(ArbWv9hV#*^C+I^ zK8DXXMO@A~1HTt)#l`LB>!t0By=Tw+Ix#+@=kt7yCG?`thd6FakLM?$*S9HsjNv_R z;&E=Zm+O|>osRqdbwlfVSGTDN&j(gq91s5`ooG9G{917>h58hF(SBeZD?YY!{wTif zE0fyjK}mJ$;PJxwNXL!*T*7i;Ji?wYOUd#ck93B0(EE%2i!m#J$GQ|xwXUaDSB>`8 zmbNsq6~W_vAU!$n<@>mmz~lUqp5*28<3y&kNMf?7U-5;5^RBKV4VrdH`Pwe|df*zYJMB^lR9rZ(Y~yp)=Xm zQT)~gF6w1;dVt)H_f*&Obm@BI26V0OQV)Fn&|f?^tCTi?UF2Wb^X^PG^mtnSHv&(~ ze;w>RPSX6v-YeP|JZ?9&%X!|o3G7b2M%Ldh;EDD{*I&+;Rj*y4=l5?n;G$j8{R*bL zM9dG)xeC`2w>zy*IY0Ca+av6?`Joqhyk3z`_Fe?n8{?GMf#bUL=z-T=&GmHC@cPmD zax?IF{iW;g)Q^(4IdDIJTL8E6zh%MeZ>3y+YvBI%`vQ0Bsdj&w&wu^E^X9+cKDIx2 zRy_;|^`hqx1HrTMGYCAteS?8p?Hdxtlg{r!`-XyNwQrkHFM3}*EYyqMhYSag_Z?Kf z&i(9&P$xRSj08{23(2>^xp6o|>J8GiJVo0z20Y%6kWRnJ z^g2$sdrBY0LjCxfT8v-&hU$?w-FEt*rmX2dfccCHI*4}H$MSJDLBueTY%dE61dy3d%Do$lo8 zM>BZbPKrOeA87%P*Xi{7^j>3qt8)F_!|TiUkn-!dfyd*Dt}l7{4ABmrHGVq4<2;dG zwomR15&7QX|N%jfj^1cVSI>Pn^kMlr!9*-6s;_L?=*I8DN;*&-Ee*FI6 ziF`TtO9#Nt*CUsau(zqR^0 zE{rR>uQ?t(9v`IV?AJ~Rb)xI+iQsYkq!aDGlfbj`eKL4{zEAP4LwTxx{IGiPmG3)F z^>`GI(@JmUVgJmGxUMV^GccK>?;c-;OpPqEKe zUI?CF2NwYs{U)Ce<Hp-!|PZv;=&MYJDp@_5vb(Rul1@T__HmQWA(+vouF=&hli z%R`Ue2HwK>OYzMtO|CQ#>DxU!GP)hO7(WAs^sG(%pNJlXx$3&5>;@K5g9$$f78?Uc=*GcQK zHlAzs_*$srJpXtd_66{lbe!iOZvYqlB-gFHpWXyd^poV}{qz=ieE(1R$&j}_oZ`rk zcYuq2iSCQu1&{Mi{?X^H?|~=UBkz~<_Ph_CXpiLO?fC#a5npsY`!Ljtp5uO0Q19b{ zdY^#D^D*VScK=Lwx}U<%`JlYj?0GAbH69CD13wexBBH<@I>8Y`;6*pUrWGup-i!VbxR@WRc7*g3?A&hh&(61g2JZLAFTlBrCAK1U_I6zp6F)SjB1RF;O_ z+P^LXp0gRR9^Vhj`f%EvJ_C(jY^}=|f>)iStFVl;xa~pui{Ym}htaBTNI??;ojlkpf zlTNz61kdN{z_Z%9v3Fh4i?(wU@4D2^=>Db)cw&4w=R5VGPIN!q6}*M8PEuUi{c5+a z*|A8{4R)TNC?5BG1v6rI@OT`g`EtHD4fA3T@VH(`FS~M24=4W&?**L4FY(2>ZKc#3 zc2Up5j*F5~pHRoy2X6|ywh!J6c56M`96WzL+X6VxtJDsBA3!zHTf)wH;r4F@+^Vmw z!Q(uU|A~o1j!nmU6m_rNdZ3CXRz6~p=gO|}0zu!j`^dAYH$ai!< zHVQnajw1Wc(V<@SetX-3@r?mb%Tq(B6P@qIf~U=Q+rjR%FY-Kgd+@mKvieMU-uLH^ zi|Iw`eFyMF{+&9er8%3&b_9>d7u9KPe@2X*U>D=JW+##Hv3Mfw+ZjBoeG|fXYWoR_ zXO}RZnw{dA=-H_~;=ZChVb?GYVJ88c)0V*Fd6#su@!dPiT9QnHo%iq5UjrKI>U%c= zxB7c>7)Ny7EqgqQBf2k`0v`7x#p67OnhHCwgQOEZC!XeAk94B@unKtA{I(l-+BlnD zP^ZbznGxzl$7?fq+IVe&o%@yYlznebD{x*XDKA(jtKXZmJM5xfy7%ugxvnefr44qm zUW^z%kiHibgm&1ie0G4R<+BrZtNvz!XN|`_JRapE`hMLk@Wi>6!{Z&#?1J&_>0Oud z9UUKgfya4G>$)V)$@Yd_j0@*JX`j%)VP>gIudY3+9k;J%r#Kw@ez1#vi{9_;51z<( z^nKU^z~gwSJ$!$e?PU&xUDPkzvlJf`#uFU}2ZuV&KK&5bdHtX`+Pe^GceZ z*#7!3@I+n8^M9x%$>H90Nl)^)jFKa~>!$r4`@NMT!4v!5?D^7Bz(v1B_h(0gr;WE` z3hEpS9_N$V72W3@2Oj5BYuEAM1@jS}=bhkPk94B%_nxTe^yu2BOF9Bhg5Ao~$>3>u zI;Eh_sfNyJu!}mX&I^-D*$)VnFyEdIo)~Y@`Qr@mtoEG=p4Psz3hJC~=$r#P@3*Mm z#Qvl_;au27yM(>Ae>tyUJm-7YOY2g;*Kq;tRy|$_9XVCLcls@| zZ@m~iF;1fU)=R*%`t4Hiw0^q`cI*E6a`41FlAQ-%0o>m&TnRiFpZK1=t6=ATq<(hV z$@iI8gU9O|<<+^*yaslyUas}7L;lfvxeh$eyEb2351!vHo-b~I-RhScz3ZiQ7yF&5 zo4^zKO+VMy{bu0){pl^9F15p5kFe6*3Le*WTCcHn>o)ML_S_C0_b2H^zaQ?7P%pY) zxHHs??icO~^`h(8-QaQmYWcngJZGFn?&t0e{?!43FC>5w^zZl#@lP)aXnEy&iBi`4m;OF+TZf~<=%kZ8ZU2x=Z}}SfQ$S_ z+w(SfR(swlsP`^--0o~X62D9LUZ@l8_xHgQbrhW^KLAgROR)}?Cwv&{2zzZ`^--wf zoY#LG>PS1PFiAcEPvkv%pY|zuqOPOwi+l#2R@a}yuGRGy1>^Y=Jh5&@zyInh@SJ%d za<2O|c%rV-eNgcJ-Z$X!I7sIe`8|%`!p`ka$4S32_4M8H)p_+h*g5WW+{f-0zXwm$ zQ}q1n2k=DyMeFm&P%m1aKZSbHariTMB460IxL+Ld3wR=5wRM7~!e3$M{z>x{TStB? z7}xLMY0vBafSvotpLhR+UF3ausWJQYD*3ac$zKKI`5Qcur|ACjAMnIFm+deA1@7-p z{sV5+Q8H(>?nHY=lsl%)PQRkLQu`UzWDbv)*0uQFr2IXpIl<%nQGYr20dv95^C{^# z>&V=mo%~_XzNR#pr(hiOg2(wvb^34DwSGR}oNv0myPw9sdw%dZe`(#t_T3AB$Ms2i z^8J(iJ(UH$>yn=2UKb7Hi;maDz~j79d$aG8Slq*@ zecAg!{{wEV`%8rW+53-60vGv>?$ee6Pvj%IPg}ZRJj;OR??aXaF6Jv|eqRoDQUA{T zzC7%_FQxoBzdN#mXQw{dQj0?*3F%HZ*OOYzj6o6*#;3hcZep?GR`s@hdy zx9WAZFrMi8vO0L2cZ#Q>OYa`Z8o>Q|ZcR^@_|bW3E$~FYIP=olu#0v?$H_Y2@%%;k zaNe6=7j~XED4yv0y&iZXui3oM?=!9MT_@F{bteCPkqtus+@9WEZ3sKJx9VT}zT%Bw z=YFSlIQLa`u#0>|_kA0K$K!!?ob&ljVCOmv`lm;A{pkXp-@o<1#e5w-AMOesw>PcR z`tDu3jT>Io?*_Zop6=jj?dbu#+Mb@(>-7xdaq6uX?AE;48$2ElX}zVt``8D#GY>@0 zDK`a=^GE*9_~4EHX5d+MyE%B=e$tEXJGTH&7!@(2#itHR`1aMw2$=`XN zJrZ^+Z==BDe)97+8g`zKDR1Jwx;$Z9*hSq7d%k^3#(>BDjk@CdMC>l<`+L9>`HS99 zjs;J&FWMj5g?iEc*d9D?2ja_*pZGj~9C%vY?*O~#ul`-?>-+2o+@HsH0&cZqJa{56 z(RS=yP;UZw+Iqc9s1vS>6kFe$GPv&gVk+hMmV_T4(7zwhwT>fA$5=dDrS< zKk&Hz=(>pk?JI^`5!^y9K!s&e=a9&60y3zZJgF^qI4RzhS9}L{8t3$x^+kI&0 zAFZRqz|-d2!(kWsi@qm#gm=9(53$b=90?xhIn7H+yjOJ;?4o|0dGBc0#k?o?$N9W> z40xihB`=@%js;KTIhv>Az|-<{JnSM*&h>bmJ^?&#zh7r3!Y}=p7 z|1uAGzRm$p#E(cGn8`=HJ6~MLol`CNv^&rPtUJqA=aY$ZX4_AX{)x$NRUNleF z7Sy{g)Qi^F_27y2R>$q6>@+KH?+xHt^>w4i)7Iacz|-c%n_;)+iCe%6`V;Rj-U_?Z zzQ{SuZQzMIjgIfz!L$1F4)C<~;HqWi+o4VT^<6@dcOTIcs#FBJmQ?7JmC@8MV^Gcc8>69 z7*}*3@fdho9Xwu8=LtjSN!YFN@)UU7{&ZeX-TU0O*?4O$wPjD_ z>2XP=RQ;gTJK*s?j&!2mgZM6ZRy*JGu1k8+cD@gu(~pt*{2#89yI^ z$N8oBqT}ad@U*)41a?uUPF;K&@t5aapTREX1Lt#apTo}eLj4y#_xb`nQ3uZRoiAax z`t2+4dRo7IT~O~E@U;2&TiCfDv^xI|JkdU<&c81h&ksgCKf=!Q7R8h8TYmx`>~ruQ z_|LFAbsVX?U%=z`YIXOk$J6ri8+ck?euv%a_dmeX`svStI)52De}_8J^Sgh*6M2fB z-~9_7pI=d)Mvoa&S6^Q})=mC{-9NA44@6senFEeI{QUYwxl&chJvz@X3Z5AEefu@k^;`@%{^adh9Dt~w=)U-W9xtt* z*zY(j0iISrOTsSN5v`x4!1MCV>tvqirNQ&^%)C6$%YY}^86B_7hVez;w_2{C-twVd zbo{RXp6Iu1zFrZyHeat4#u4qmmBAD1yR#2nCDe)T`&I={n_pLho%@%@ee~RSb?<2=T>vJvH=q@M86Nb8+iVCZuf%m z^e7ll&zN4M4tjxS)j@CYc-^G-RiAfMs)_CcJMZ@?PgOfIw5fL;@{f+w%|adLdmJ{0 z-Rie3z_a>oOYra~{hiUQL0fq^wI{>31}^G1I{)8=9!6hL zG$4#8I$sS0Pvj$dUpWXop0_Cz+rVz+XBc=Q zKiTvC;RWLu0iGBK(R0R;;BosYKXRXy?-NFWC-N8t+{fbsl`r+|J-R^$?k7CwSK-z36(oOQ;w9p38~g ziM&Oa{-YuQGVr=V_+E zF4lc#e>4?#e}6PByneKvD&XNyzHitKfR)$j;EDODZ`b-sNfU6Z{WHL`##eKw7roDD z0gvmR`X{=dY7O)a!0{*Vr961a9^FUf^l#;oh+GxTkjUxoNic>;pTG zQ@TFevr)Kj!8rB=d`fdIG;iSMk7{Qk*7o^INX^mA4R z0~h^Toky!PO}_pf;$4UQqx0>d;92!~Sg04BCl3eDs*@wY6Z1p1UpW%E)xM*`c%tn) z8a%Ftw14vb8tvzf@vcXCs@cW7eJprZo{j@g)J^qsJ>Czy9}k|kFE{~qu5*gZxt}=E zyAHK0dcJ=Wc=(go;mH8Rc#N(Cr+~-#qd1&%j8kE^@^Tt@T=!{vI@_jCYiXLCK1`x{ zrg|TBI(S-M&Iom)pA$W^U|eT`hd+6K&ITaz6I}<+0Z+6m`n@0Lg2#FE>+n3-x$d<( zJilOE7Zi-^Lhrg1mz@9eb>brML|sc>zD`{1@wB?U1U&9%YOnL$=~CE5{-f*qW#EbY zN7wbs!L#c03h?+og5q+XvtJ22_mh^dtH87Jbv1a}KJFUWd3~XHvU9F$fpfblj_5xA zI`BA;sHey=cAP0G_r!-x%sd`|T$1#QjS2`#NqesCNr^oDXVev<_|!^`i6M zZQ${EB|T@}yB&5>2hsbKJHQk3xO1O!XQ(6h1NnM>7kHwcBrl&p?*@;h zbSZDy{`+a*oKK2#?1=g#c?LNCAtsH&+0OsJP*5ny%&JvPky}@ z0f_#H&Oa}Kr_Dbv!_NIh?X2zRXp`{@>|B3o-1&YmA4N&>DtK1izXqNdN71@}9Xzf_ zipx0%dINSbPdNL%H(}?v$v>@oe(sjf6K{d%%@fSaTlhA3Rz1A~p1)6jHx^Ii+~+;; zM1G?C^!E$ueNa&EL-4Hr`zX|l_TR_gS@rn|cq0GNbHPu+)9Umy*tx&8I{mz0TwjE7 zMek?71dsa*b(XIje1G~CcwEmEpEJLH4ZD~Zv+uL`1~~rYcsVv;{P*ntN(xTu0wf=-Vgi=9_P=W4}ODPn-6}6UChtfbH8qwfB%3TfAT#4 z3BYQ{U*K7F{5N$tXwKD0-m_*Cz|-~>ON2Vnef5&yiMoxx&$1MFBG2-EI=}B;8a$C_ z$;J z>k`G2oiA?$ob#x)rw%-=JsTI)*~HN40=t+8qT{ySyB@VCx*m1~Pt!9=fUcF!!`F6hFt2gXo9i#7e=w9CkxIdmY1#a#CHv^CB zf$|#N|8EYS)lXZ5deMH`5xy-9E7<*ZZSCo6_1hObkxyql_JduUZ~A-Jp}a)r zn*rW+C?4m&b|CE9dNT-it6m3#C+aME|1u=hi_U*T!Q=K*`<&lj+y-`Qo*4!n*Cpv> z=Pkp5TlF#mJW+qqdKn3xRnMbBy=Xm;29MiM{U-XCzLzJ|5%$`8GX^}X{~Ey4=9{sh zPPE^)1CQhO`)zyJoxDfpt#ROqdWz0lJAlXaOL?k&Palod9m9BPc1qJuuyg-v<8?fE z+IZa=cB}s-A+deQi%fM?bBRPeO=o(8+s&Po_pw4J*ZjBC0PR}<`7eb0bhj5nvg zn_=g=rFwAY{}xZ5>cBbIZ1wcXe_&H*dwyQIJM3b99n`mf@7`^|MZZM%@9p4m-P84* z=Qtg(Yw>r&&iV177U8+MV0hAv&Z^xhM=Rabj~ z=g$j!1GnPe2RzP`AOF4ub@nrK_J^J4A>@Vf%0G>C0GcTX94g}B2&q3gE9@2h} zy`OM!JU%`j&Eq>H9v}1a_zne6>;tpUp>@SR@G#g#{WX;7*uUJ|k-g)8IPBIw=A^ zTb^(M>|%Zp_S$~mu;{=fnIvN*BX!<@*xwwESFJFrLedcrJ%s%g+_C zTlu*XJgZ$-dDo+UbH2yu>Vi7gfT!i>TG)AAqyBRCFW12?=3i(3a((FU{66Fjo;|HU z`TLSL!p`+c*O$)`@^N|-cwAScBYF8ud^30=ztQ`sTfh_j6@OnQjIX*+o>X#vZ|}BH zFS?(;9X!q_wU^(|&Dweg>^z>SoovtAcqi=EdVW_JPjo%M8$6M(=sbT9cv>CZ3p>Y6 z?Q-^S_rWgS=Px(U95uQDKLC3_?AAK|0C>C(q~jv}-s%T|bA8bD$2Ua2uj3)_I^-Yy zzK(}OJ)=`KdjmYJeQ(0f^-t}Ke$MEvFs|r) z^fq|bJn#;9Vjjpo5BV-|(XQzH|6UkRbpC%IJgvSzfSvnAtM3oN;7%JZm2L5rgz={lkyo zS$X;iJdyY4^Maqjv-0%|cz*kS4daQ9x8K0yx})|v&l`S+o#UlEyXz<_>JRWZUea-S zSX2HCw0$28Z(NE4k@qe&$osz$^UM=C-sa?)`wIuA^Zt}0z6}HbMobN3Kp4DGVdpy#M*55MV zalazp!RI}ejl~yvPPQC)JTH-+vwx$VXV#MC!Q=Uj;uGs;dBO^?i*^coZU4F=c-$|f z!}ovL47d{PTyGQ)+q0Q(Wh0JN3dXT2c%uL0dsq4US*w93@*{b9!&V26&nu~2+2;h- z0M2zr?QwpGWz8^-=;ut<0*~`XI?m@z)`ng5Pv5o~rH)GWvyqk3IogxCuiQN_pXEX@Np`0D*!Mha8tOFk zuNzv|ySnTqn-$dA96Wwrlh#4MrV{;9O!eOuu#0v@=jkoM<9WIraFCVy-2cwdp~)%Dx9Yh90CSzvubo#;NbA9x%;=|t}f`-8{hf#QwH#Q+ruvUh3#2Qjf36lmmR>f`ejG(L_Wp3R-Uj^s3Yw8 zw3mzrkN5Y~t}*?(_DFUH?&o0waLzCBo%LiF*f~$skIs5B5q4fb(>!M9imgqh_Kqak z6?TzF=lA7Hu#0gLU8g5`*P%F^bHGN}MZ3rLt?!*o1}?_w=pmyT>V^!UFZZHQm|=WElz<9O5dr047v;G8eYXKf!q`-I(K=XlAlX3uB4B$*DL z$ZK@|Y4WZ|dd|8$19tBJw0~!J(B~>jQ?uMOhyHBOqG^F$tFKnrMV!(8-yJ-Wf1FFW zzf0a$P_G?49&c&>D~;339Ubl2w?%Y>I??s46Ff1#qo2o^8R|vbxd(WnozZipS>AQ2 zU!wE)Z11|LmtY^Tr+3}7?ws$J#7Ni+Jl+qbdJYdYxOW&|bbj9lJgyJYbN0>q!p`+h zaYfg^{k-duPIUd-zo6a$1@#UrsCQ67y@SEyd79drtz?IIIJGas4+Sp9Pjs9g1|H8V z{*&g(wK@4Rnx6zn{okiYZ3(a~WX(Q$VScw*c|_mRhf z$Ky$>>*K()>iYOFzG$9K08h))iLhIBeG+)0ozc2JIgBe>2d99?{gc)~zma3>dB1cj z?AH2q8hHNtb$UVnGZgn6q~9w^A2X(({-YgHHa^Y<&&u;T;8}S- z7d)BU*pB4 z<@H+dth`6wbUnwuqbDG=1b4hyJ-eozowI-RkE@!Q=cwmI#JG|7fBAjl6LG!Z-1JHCc)U{{qu*!#6nJ8t&ECU!8aVe8`HS=PO6eKc zMf-(4UmlZZ!E@Rbd4B#}M6WUO-pljgiTTMnPj~@#?*Fu3O4;Z2tC@ZgcCP2NU9rzO zzXTrFA?Y~#(3fH7ekC3EJ_SAY3V2rgUjN8j^(6Fk0O zpgd&zp0|KI?TS2qdmB7aM`9f=Pk0A*(QaYSmx1J6@Iv6Yc*G zz~lT-yQAyo+Ibi4U#@C(G!}+>%0k_&aH+Wim=Yd_+!QfI;Q>CT3On0ZXI+!=q5xgXsuV6g$ zgU9PGwP!$iW(yr=W@%0q2z8?K%Yxu>zBn%nc{t~BVGn2iBEaQ1EOmzCXi@O^K7ss4 z%x-K+%O;C_G1&RMg07pLCsk*)Bw1X!{{Mhm{kQ~pTHcm~U9_Y6c$9t_wY{U(kxMCY zEFJns=aXd=|7C%TaZp>IYGsrx2cD?MoYy%cNtTD5_swY@r_FBS4#@}d3gB_wQhzwS zR4e_rB6wUUTn{UGIM>60rsOw<_!$7x{~EQcJ{Y z;E6m4UXrX1yC3%&9?o&E>EYbYwLF~pYXj$f5b^sqRnoi5bV5o`rmC^710L5^+Fpm( zNs}i1Ti4@}UbOz!Q{q|Q!#Vy9Je=d-5IFY(@w5B(9ylS~Nb##v{d#5X*jVw~#KSqh zE*{SD)dS~sllY^{tsO1x9c}5K#+Js$EW=$D|8Br}y&(Vmc~#mo-4(wc;dT9Uuhe}) zPw@DDp5h+Rx4uh#FHe`-+1tapoqar<`I~w;^EU&|^_1qNRBlc;ptYi-p4eRR-vT(# z!{lE*uj$gON7{i~Dt=o5*YdeF>^$x%-XXK;)5TbxlfJNvc{;k^>!)15zlU?426#B< zX&`VhkBsS@LEFQ;azny1_Y8%4<)ygI&zC?)^RH z+3l4$#sL@OC3>H*gW|s zx+Ienej{+sPs-1KcfNMHWU}I425$Ak6z@7(KTP$m!}UDP!?~U-z(wApb+j9JoL5}G z(w@JpUY&QQgQv~IO-dXyJe=ch_Hd57#lxB3>fy}a-NTvR=Hbk52QK<0I!|_hC&u}( zQl*`L20rP8UFJ7-A2Aa=&Kt$y+(+yY#uHsEX=Z3pkH6;^UmN zTGV^P&igF#tJ<;e+sD)8>+S2|e7*fVoca5EIP(tx&etctv(GzF@jD2(=nwhaJs+_L zEB=Q77kR;Zg;m!>6~DtgoZEM}hjaUm@NniI>EX;j%EOs|w1+eQ7~tBz=UCW9JvPvz z>6UgnTuVp#aj?t#vGg=?c6xNtT*{}~u1^B4wc}*ZPVMhId0L5nQ-^kzbhLR2>|*||Juk|uAxTbEu78?`bKXz)aL)S~ zz(sqA)WiAumw7nzFZXcfU*X}*ztY2*e-&^su7);uw3XUhTiQy^ z^v)t`@@mEZ8sOZ2biL|1g;!tKdOW&5)fW{5Kj}k;uJf+L@n7%Z9RCf#MgNF>Z|%V8 zM)1VEAb9P`O|bLxMY=BRZYFL9kDq@~93#`orL(P6PA95cU>Ea4{ya8K<*l&uIzs+~ z%Pk$#+A6cM4b5$^`}KLdhjaVy@Nmx8ogU8oyMXifApWSTcLYd{sNv*?U6& zk#v|qTi$A++#CAS_ijw0TkGn%)P1mvdXeA9k7`Sj`#m1TKYCiZd3JsPhkAJcJU?F# zdN{ZLArI$#J?!Dke+0OUH}-twQN{l;;3D77`u(`#_XKdBPbkjlbEYT36ZM##Q_rN~ zn^x3Qu#0+h&TpRf?9^^&y?Vy8r*YtY=B&q`g`M-yd3(;oInU2~IP+fsF2=E(KY1ET zUIdTxN&eY`7kTJU z&p>ARPe$KV{NDmD>n3(z{I=r%j)!xO}8fzX#86#}A=@v>tv`{C@&2#(nLfa6Wq^ z$n}|NkhCpyG^*it~^I0vZm$O;Ax$(a0&28!90wq5^?< zv)Zty~-&&7V7H z1v<<(i-XtI-ly2szn<*4&>D0&{;}&>%*So&Uq^OaXbU#oY- zv#ScCJ7MPl9P6Li$*wDVfR3xzn&+s&3xcZ}Nl)SWSTDTDz)_=nZyAc9MKd%cM{kQ_>>PL2d z9ZA@a0*>vO`LnnW8%@}a`5*nd5%%uDxpv^ko}Sj5XgolN{gUO|k8KyShe-J3x2o18 zNl`x@{&#|E@1NfQ9k<^xHDG0}XK5^?<9LhZ?}Coa{mc?L`k5_o)Xxz(>gNg^^=}It z^;LCW^$)HayuEygE?f!E-C#WE7uTQ2F;2YyLymg9 zzeSFEY!}E;kK+SZo_znQ?HO2(qCJ)ea`cDwhaCOkxQc(7UiN$}mX~OcaUw^5*e{Wz zKipS9JEoT%=kPoR=7-tyItkZ5czyJX=edxhUmOpSqrMBYOXR4x2afq*dfEMlu7rIz zfuq0f0!M!i0!Muhfup`Ba4tUC`-fhjUT5vu?$?Mo z1_8%*&Fp3OMFxWo+ZBt0d*7hWWC-ZEa*(yD{Sg$SuNBwYtqkaT%%m>r+_sg{->Fc1w@rv1d1}t3`Sp7Y> zFiCQSbnKt(I{&}xfssT!)gNJDY5(hWMibW=1Dwm3?ESqP=y2R;`LZ}C?+)oW?y`JY z+&6nbI@d2P&NC_?ov(l4ea!0K@&@R{`X39N^6yF5c?lfb!8n0qI~Wg~D=+T(AwE5m zqzQz*x4_ZgM1iBfN%j5l=iqAF-DJYv2RP2Z%%8=&YzkpFRp1!sG=XEBz5+-6bb+IO z25=l_m|pf=@SC8+^$D}DJ{RmKTo?VlC2;gN6FAPZOg}4d<;sYK!W%iW2>aQI=^A*W5DWfrLebePDfi+4_DDbXd;J|8#cRD133?!n&JP zrU?QaSO30Kon58Hz{T+>82GEo|9!%KiNLYEmI@rpE2O?ZFSf*o^G>zLqNHVneQ14q z*>P<-VZQ=6wgVQgY=2$}I$Zx*wwF0oA5L5r$Zm|W@Y$4E{SViVxcjKu;ZF(&omdYM z0>^UvK;T%8k-#~BviBoVg#9Yu)OZ_B*sT^g#;FoG#<>RgtJ+r#VXp>`>lEhCVjnD) zuv-fp`%6_l%bn-?P|#J?^U~0Oh4B0uR(+DR4s={UXU|m@1y+3nm%Vx#jPL!d2OZAu z?0Qp~toFd`21v*H$MV}Ka4f$#;d)GO@qAztq`#_sHxt+Y2soE7+3{zK5C@BINJ(lC(HX@Gg0>^TR7dV#7$H2Mzxj ztRp`Y(plUV=Tvq<`m5sK4LTgJ*mY#*tv#Tl`pI5M$99M1_&M+n@R#Ldo=<4RQaIyP zJ#bac(O(eu`+&bHANvXW0|Li-PY^i9dk}aV_*+%(a_1-x5%z}#j{c4a9Q}O>oSRR* zoSdAbqlEq|f#dZP1&-H02Au1Evg?Ph3Hxt=Q}uqFu=^JHtJ?nw&|&?uxMiOMpA`IH zzLNxw`TkD0F4N17&!<3#aWZ?^^S0j$e$fAEfusK)gzGZB>~o19LDv%gR{3Y!88y2Z zjGY1A9R9NFSUmqe3ta4X=YVtLw(LI9PoU$e334KPJTS9Gf5HrV0~x=j`eX#;HbYWaMY&?9QA1eM}0bQEJvoV*+1Y9<1@__ z!u~37Zk&|e*UA8$E&OHvd7X3(IM-i2*=hr~$EE9#Zo}DEr^9*HpMhh0!hGKlIOh8o z;N199vya1`II&j5PF>c_mA`_Hi+gO%_iq9gv9rR`P2u|JH&fu~_m;p>e_PQRRzJ%n_OlU;9W)h9KC*HES3L5KB;@%$lhjQ^3qQU51!94DDx z_I}_oVV?z@EC2B;SFv;6aD#*8uO;lW1&;CN2pr?h6*%hi1djSA0!RH{0!RJdz`63D z6jn8CvR7L$FIAF!!oC1F_Cw~cdOr%^lYdIsJp<0&S6Q56cuv^85IE-VAAw{3{sqp> zAF}(Qg`mT7VD`MO_WYC%bkusbNJwYbu~^T(gmi4j7=N+AG5!+Z+_*Gvd{l5y1mE7+ z!n2gH{|`9ki}|bGH>&>5U)}OwDkJRmz`6NgRv;UO#qYP2gAVJH#Xmi8Df{lqvYG+8 zqJA8*>(NRg4uin4+>8Rpax($v`l;pk2YELW_ELkI1a7?&vcP$`^Kj5NfOM=!^xIJ2 z7^juMQQrtS7iabOCrmq1W6;%`ci@106XE*kx2eF|TzPZ3rZw;JlhqCvrHiUf( zfup~c0!M$XfOF%t>^_k#=(zcX)3N9N!u8Q_8-b(WwgN|eJAtFVy}(i5LExzGC~(x< z2^{sEfMfoc-eMip8Pak5Wp*{`uny`1>0JMnz5ll-{C5RT^@DDNU3cKzxGTF~?LgS~ zsBh1Y$F);aPtaLIzhwEhc#hRexIUJ5Z-HZZ_o?q!_I{%;=(zsK>B6Lb!u8Q_e}SXl z0Rl(;K!KzFHQ?MlWU=2hh_D+BoNEuV=MRT~j>})2j(vAxD5P`sD|>#)vHo?&FA88E zPOI7Ol7>M#H$TZfPj>-(?! zxnFLcbtUXa3LNWyl)$n6M+4{P4X@CZtCj`UlxyvMz!=bBeKUIt9WHF#K*xEU zL>wN#xp7+d+<=0xe?#Dy@38{Me0u`t+MVpU-~~F&53{cxfAD>>al-Y{?|6Zu-w6Uo zy|=(oKT+VQpCoY9PX^A-ud@4FKA^+$X7-jks8BfM#-A^P{#!G2PKE1m^9H6@kEGKe zooin{;em_T&2UWv!vWYAbYg#+F2u?5U-cadp>;~q4A9{?R+XPRT|~&6kdF1puH(t? z1NagC-x4^M|4e~n`OgB5<;wK3=YnQ~jvI%@g)U*`Qgb^i&4F~x54(=Ve)n8R=f+iw za}#evI+iEKJx|~m_d5bd{d|F=-XA#Ee`L=eC_#tgGPCD(IBZDo3VzUkfWXoJg8Ket z`|m=+eo=jU*>y!AVgH`MG2S47W4wz6j{0DMqyBy1T)(mSZXouXC7|QRWeXh^@KVrm z^(9+gA)v#4!s4+Q@0JPvSU&3Ja}0|0{7}$g`@?)K7dV!~3W1}3C2%fo+4EIlgnc-0 zu0P7|(?k&V9|#=djTAV>8zpemuM#-wqk&`nF}>`%dNpCM0{*J83moH( z6*%hG3LNzx3LN$81djUkz+Y8g8wmT20!M#w0!M$FfOF+1I}U6n>^~AX`r9IK^tTl_ zH$ThX|867fw*%+PNACMg@r3=yz`6D&`@YEz!v2%`{>RFFA7>|F|0!^s4_JB0uCG5M z>~{$q%X_!LvAp*H$NeOxuijUD9lpc3m$3U>;OOTIfuo;&z`1rLJ5KEf9o`2sd-h${ z<-q}P-+4f|KKe}%IQl&ZoUhN?Ljv4*e2B0=44kWv>Fis<_4dt=2s-A!S{G9D-D;d> zq%Q?O82?d$WBgwM=gLj?d{H9kxb+UF3zLpPIyYaAUsm;|kFZkwnuy~Y;5hHGxGmO) z$040t=hmdd{>ZnG&h<;#esO~Ee^TIBZb<^ia{CTA)viwwcHaYkRh*{@`yT|3asDW9 zjPp!=f3oZ0v!LVF!xry_ovVKx*?IgY&|!aIamYSDKMy)wpI|;N2psc~44i9U{By?I zbM_ZO$F);lC#66-)y_1KPPMa3kk0kj+V{=5?k-&h9kvgak6K;TP?HMjI1aJ=TRcZk zgLEt(EQfU9O<=rYc4LPxV9#+0{Z-&xyt4cC8KC3pzj_{ik3Bw$V!p0HI@fMx+tKy< z*Ri;-`WezOUs&%q1djRr1vs`RrmuVG&K3Btg#Ar{qrXgnqrY3gxqQMnXZa-aHt6vF zklAy(h_E~LuOmAi-6i6!aV_ z1&)6I5IE`|2^{r*3LN#11&;bGfumk4aMWiD9Q8Q@M}01EEDxriTJ>qBs%?O(?Y=z1 z?g?;y-mE#JV)<(8UxfYN0>?P>1&(nR2psiK1&;b>!1?&(zDxWZbliApF|WT6u8)5I z5jgt&7q~b+6%u-#!14M;0>|sW1kQ~IviHBmgnbEc9G96ti|5s)gx!C@xp6^u{3`<; zH;z`F8^za*B)xEb%x}5CF~1eSx$}6{?>AHudINB--evb0jG)7LkomLNXD~rJH*Zv@ zi_e?QL>yAXnh8oA=Nkwd^VtwM=TCMWYy~>Lz1FO^*~4tM7HkCRTz|HBp3<1`-$dY8 zFHHrG@ir4U>YEE3_13_txNHc!7Qn^&Z%OD|2^{0H6*$J#8aUUVWcNSX5cX|>bM+>> zzGw$JzP$y6EQMp|lGGm3xpphN572>#qa$#xe{%cJbqfVM&|y8Wa^Q3kA)O#yEbq>Q z-!1~j^0pT^mUq|s*ROtGr5mB|4jkiU*SFY*b|CC}0Do0^_9X0k5xlp+F~5BTj`{5i zoU0cv_Cqtm(+5fFN7(n5v6uV4;{ecMJ7)f6?>hzxelY&m1dj0!0{*IU98A~`5jgrA zDsc4YC~(vd6FBOffOF+5yUuhb>|KE4c*^|Y?+#W!?Hms2IA1cqkY2OpFrvPH*?IAG z&~g30dS0yA9$@d^Lb^C#j1)NLdz8SjoJI>A^<#i@FW9Lt~iv)Er52kF#(?|9+5Sl$x^j^*tw zaMVu}IO-<>=i0GsJDN<``v@HUO%XWyn+lw(Pww1D-Ftb{K!^Q<*>k!u$rsYOa<%y0 z?sUTc41r_3Zwega^%FSi-x4_LX9^tkvjmR%*#bxX9D$>LuE0_Mw!l$8PvEG3N8qTR z51gwX*>$WxVXv%jKb`$FBQ7{<`|G=eeE@K-UM>2|0!XL&%R)%U`H1CLc3riI@E-^q z+a0sF7?STl@`~&1gmkXGR{N|b9A9Lq6L;HW<)aMXV-aMXVzaMT|M&b627 z{D|*0d<#0Rz0|x<2OaPPq+>lYzZUx#Ckg*az`5~*8~5tw$L|RHQv%2QelKv$?`h!N z`C-}bW&8lTX7C)2*;jx6=11VKiuVlR|E$0<-g5%Scz*)U)sO7&!<;AVF94_NC7H0h z2%PITwZG4ceYdJ;Qb32}6^px8S2c-hgzIB|F9{s;dl~qv$~P5sTzj&VV4 z>7e7{x0qM1Kst_Z82?p)WBeJwF)pUBnLl8xx(4ao_-*mK!PkZBqQ9R7j{a^49QD5l z9QD5n9Q8K^j`~dC7Wv^mX?_dRv3)VSu|c(`LLx$LLpoQVvh{GM{&l9aW6U9V{N*mB zbMt`g{=q%aVSQmf?h73A{hPp1{{T1_x9qs|kg)$9I2W(%d5S*>`$q!Dc>feQ#`_pJ z&Rey=?tHBkZ3G9OHcOaIRg* zo=4OX_C*56IA01J<17Zw#W_86>8jfA|CbPUrNAx5nNareZ5TKIgLG=#EEBGaaq0z* zah3z;+N?3m$SgJyj%p1`r!gc{RrS( zzm)y1$m@i?Ykhm!{rHifky@$Y2uMjxu z-w-(J#{%c}TdU6d4s(I^r6*zM1^iX*a~$Zn_GxjyJ08-xej+<>PXHZP4;JUwy#L2| zCV~$BNLUV&1dio4S>UMm5jg6n2psiOf#ZD0^wr}Ze#d4SVdpDw^fO)H=w}9Su3lu< zhi`%o#|36z-L7$8+7HsX^{~ah*jtd!)vLvOrZeluQGNX|_T$`jU)hqRS)hYIwe>Mu z;F#|@0>^yM6*%hO7C7qX0mu9^{RH;I#kE_r?+|wLfpg=I?6~1CT%Y-^InNBggQXO% zkMX`MaEvzqI5&UEo-bWM*e?_~`dcJ$^cM)6YezNTLlAx<=RLwc2sl?xvgcYB6ZXLZ z$9UftIL5m~;HY0JaMXtY=f)k`?+Pp<>_h9@bLZ^qR))(#hwY5{pTa(6R{Oi+D}?J~ z+$#l+afj9SEBiah;ew9Y%l-~>1n9VSRkz5i%ZBs;=w7uhj1>H`{K&=^1v>as+wWHi z9LpnG;8-531&(@^z)`;jIG^9z-?6(2u z=BufzqUv5(+%8<7<)8h&c-1d{G1UUrBLi1fuXy4?hxugX=Ux5FThKN>Cj9RJ&b2Gq z`-@Kq`<=jFmH$r(`_F)L?Nau4igpq9y9JKzW{<$J-Ru=O>OU7a>c0R^)z3ai=hk;v zf7Lq%`-SVGzXJkCe+dFd{Xv1F{*b^?e^}tCKO%6{e<^U(9~C(2zY;j=69ta?V**G0 z*TA`cEc>4EH=yI54|;}%1qK`k&b43JdEi^ny=opf0XnWd%C3`6f)4iuSbk6!R@EVs zAe}o$B>R2B??4BCYUh(v0>^UvUf@`cr-5TUOmDGI@dIJ^BXF+#rUfhs2#Hu3So=-c zs{EWG?9a;B*L-o6{gfj&FP#G&x9+Z62eR*G{RHXUI3l~QIZwoK0XWx=xc!8>NRkQr zi@>>ZkZngPguSM|f7$znON9Mpfn$BA3LNV@P2i|c7dYy#2psiS1&;a*fusJKz)^o) z;Hdvu;HbX=oU3oy_0}(h{jc@yrw0Tst9t*1zfF^Ff)2-T=AY9=gk=iX$GC3^9OJ$X z{8jDj4(Pb{Zn1xGSGYd?Q27C6S451flrcD^hC9kv%{Z}IzVPa&O)*W&r+Ga;SXk6*U9 z>V#I!qVqYVQ~N?MARYeH&TIbw;Ktdyd7!oxNz%W<^{eBr>e}!erm+5XWY?`a(8t;<*mVP6XTRnN!&Bkaorj_pV|03EkJw)p)6qi}tU+az#|+YFq$Uz0uOC^f2DwbcEt7qhp};Xu>?bkw@3 zA*6%b+WNK;vd=r45%$dmj&WKG9OJYB&W$g! z<6sNWapTKd?04pZgO-LasOq9EA)R~gGjyTzNU0U!*H+*dXKR6DoNWY-`nCc`eLLW< zD#!MOeFuS~zm5V&e|EsB`tC&7bq3DGDSHmM3t?{$9P5R}Y4O~wE2QJN&El;|hjFzV zq;uoKSh@EHx`U4E*VXN0VbyH|>vs;2j_U~)hsEzW_keV$N*&b3$W zdkb~HQ`rY}7!R}ObYW6oNaxC3b|0c25l4UET)D}PrvnK4fxx+Z$jJj%B>TYIP`HTjgSpH-F$2i&Wi2dJu6afWImqZxHrl1&;OUDR8V$ zuloM#+7s9A#(|D&|8+W6uHzxyq8{1zxmPW%ThlX{G(qsk;_wTv)4`}JN#3Btdcu56 z6gcK%5^!#PZt>lX$%LH`a2y|)AB*vS3Zzrx|5V|+80R#BW1PMMNBwkxqke|KQU9jE zQST>k)W0Qg)XxOYtvjl}?=p+f&lWgde~!TM`g4JEeyzaK--iN6f9rtbdWGpN-k)C&>3AQ_>@2=(vH{Y$b%5--ij9Q-IDuol zn*@&WZU&C^&Gh^}WbF#}BhX=7%%0cbHi5JSbXxuJR?>vSsc2Q{T4Cze&;8k!}?}% z@H%OykY3#$xc3J>g>-J6Ve#J8XOJ%T^IZbR`rIvWtp7a%NBv&lxL#*^+4l}V2OalZ zvHHEkFNEu&zkLEnfBS)R?M-$ZH~>0o97uq4uAOnuE9%x{#o!*XKz;m%FhnH&L~SYKZX9LwXVz_I+k5;*D;fphtm9mkJ>4)ewAtNLqjSnWrm zt6I4veGNLUK4kBwzaio|4qRMEeoN?2)b}TQ-**ypT)*OUVN#NCeJr={1dio)3OHA8 zvg^_B3H#FmM}I#E9R2-R-=FL_cm{Ob{guUcYtIVTN5AI;j(&d*F-m(@8nZc|2<$$%NfS;9Pmiw!;+A@%0!O6c~;l;L|`lwo~T6t~1qjW9bqR$7O+I zep3aG`Aq}P#m$e`wRgVhpyT4^b&bZe^tHZfDZG;;;>lX=R!KyPwF-e>%x)pKqo&R z*O@#49j;re$}v!Q$E9i>{0ns4dazbkmHs!RW8CaI7W+l{kj|~+ES?t>K)Sdtcq(wL zmuJAa^5o{fy8Y4TpyS#Rrwfx_2-nB<@Q=XJ@4vvg@|PWt3qdDe{&glg&~fcccAh9A z;&}-i+Z~JFVjW)$>0G^8tm8}mNB^aS|Nnqvy)ysR=f&{7jxxedFK{gPa)D#HR{-bQ zm&Li%O2WM-Dz-1>H<2h{qp-7wKI-={p<0%+Wn8N zpu_fx`ROKb%ujcLquxQ_sP7?g)b|uP>U#m_@>jhcsVM|pjY(2(!oCl1uHRU!L;4bS z{RED2_7^zDIY8j3A1H9tzb0_h4-z=)2Lq?(ks*-I&7&6YyA6eOZe1t)y(34$|1jX# z9$CDy`*KfphK7;`yW(VK=V6oyEFmJYhEhI92c7kj{+IYPEIwlZP?p4_Zyu+u?@ z^9_rm>gIye)hv8wfR1bbviH4j67l#69NX1f0>^eW6F4^>$$pn;7U;0PYRi$GxeZvk zsP^~gW`m9^PuY254(PaX!)xU#_N>49G?OIFg>)=0mXEsqi`v;#lHLX#&Xbt0c>>3B zct_x&b4>heZWP8eW1Y6-+KZ_e?h>x z{K>Az7Zdiu_3gR)$-4W__XQpEU!x0H7`!OB>bIY2j&v*${9yb`1&;BD0H?;~WrSVm zE9{mNb}N8$^p&B@*+DYc;e;htxZsE7SJ2f=d=a3-{>sX$_Pd2# z_mMsz;)xXeFnihjL=pC@>ieG-u#62B?8h^B|Iwi1#^+jHFdLs&LptscusCF&E2%)| z0QZlqT)5{dbE;a>vOsn}i>vlEpy&FN?0!NF=*00w4V~EWZV?0c6vA?mIu=_~h z=x2+-(a%=k+u76awZ}I)?c+laxi^VZ6aN**mq3n&|&}9K( zA457f&ICk+hraHr96r0Mz;-}7mLull6M%!apu_TE{&`*PenFz3WAV$L z_c%tx^L71rWY;s_2!2>RyskE$@9K=}C)IQB~xSIzJHc{>lQ8c)s; zc4vWe?MZe%ItMx&7g+u{9eXbr(z$Z0T{l!!?s-VZ_Q>L^P3MY1x&S&H_rhTQNGAA2 zf~OE%L-0!kzfAB{f~OHYo#0mpewE-E1iwb`>jeLq;5P{V3&DRS_)UUm68sjyZxj3u z!S53M9>MPu{5OI>AoxRq|4#5f2>yuRe-ivL!LtaiC3rT$a|oVG@H~P)A^2Ye|C`|X z1TP@?Q-VJu_;Z54AoxE7|Ciu}1lJL~h~O`Q<9xx!Np^TJFm&PKss$$dbq08&p_s5Q zA$Tdl|08%A!Sw_$CwK+HD+z8OxRKx{f}060!4LV0^H2kVHzc?f!5b00F~OSJ@D>DbN$^$#wm_kshLE(#8oq@jeJBf*Ce+=<}M1a~3$aDtB@`0E6BCHP2! zk0SVJf{!7%8^PTP?m=(`!QUYGSb}>J+>7Aj2tJIeMzL?;_1b?64O9;M{;2{KGM(|LAFDLj4g0Cca7{S8{9zpOA2p&oB zD1xsdcr?LR6I?~`H3W|#xSHUx1Yb+=4+*}G;Ohy#f#4en9!Ky^1m8^Xj|jen;9Cj4 zjo{k}9#8O(3BH5ipAdW}!9OMVX9V9x@ZAL8L-4%>|D51o5PToO_Y?d8!4n96kl=?1 zewg4#2>vC(j}rVVf+rIE7{R|L_%{SUPVjFDeuCg937$mo?+AX1;NKJcG{Ju$_>TlX zL-4Z%KS%JN2!5X67YLqA@QVabA-IO%mk55D;Hd;pBX~N&uMqqy!7~Vcjo{Y_{xiXE z5d0T{|4Q(i1kWV+ErQ=B_#J}ZCHOsp-zWHQ1b;yAhXntf;C~SO5yAfij_)_H{e};M zmsLGkt9tq;NskG;EP`tZo=xx^g69%EkKj)T{ujajCU`!<3kd#{;LiyDoZv4A{tvH zI}yAy!MhOLp5R>x-i_eh3GP7f9t7`6@LmM(P4GSh?@RE01n*Dq0R$gN@Ye`Fh~R?> zK7`;y3GPVnVFY&~xHG|B2tJ(PBMAOF!CeVHlHj8VKAPZT2<}F3cY=EmTtVBcU{7r)U5&SKJ&m{OPg3l)S9D>g!_}c`ZNAPzDKA+(J1XmLLU4jPy=k7y7*pF31 zE0UxIgxx}dFCus#!QUfz5WyD{Jec6`6MPB5ml8aL;L8XeO7P_bUqSGd1P>#4IKd+b z{sF-w2_8l8RRoVF_-cZy2)>5kF$7l=JeJ^V3H~9$*AaX@!8Z_mBf;YczKP(Q3H}km zw-9_Q!M727JHg`#{xNVom(1p^m5YO;Lq7;!7+iG*ZUW&k6no!S@k-Kfww06PZRtHg8xYHGr+lXP+<`ZS>I&GvzD=y z?d1Rp@~ zfdqez;DZQ0nBYSQK9t~&1Rq9lCxSZ@+=bx72|j}0uM^yr;3Ek>ir}LOK8E0K1a~L6 z2f-Bte}mv-3GPX7FM^LF_;`X(AhuA@MQ!KCHQiJuORqJf`<`2oZt}z|A63; z1dk&4DuPE7d^N#U1Ybk&7=o(_9!v1G1pkoW>j=J{;2Q|Ok>GIz-$d}u1pkQOTL`|D z;M)kko#62V|Cr!A2>uDdcM|+lf`3NvT?F4v@I3_IOYqML{sqDJ5qv+v4-hv3XAxXW@N9zT5Ih$+H;yh?84$(}76mQ~V@K5T2)ic){|h*Ncal9H z4pn4xD>l%06Zh92ELq;L56p*DnaWe+d3B!3znl zBX|+PUlP2S;3WhvCHQ{?FC(~~;N=9bAb2Ig4Foq5+(d9Q!6i7bQ15vG!5b3Xir|e1 z-k9J`2;P+7%?RF{;MN4UA$SXdwv za7Tg<0}jKJR5dRyToxGSMChFf?n3b41Rp{0*9q=Q@R0-`MexxCA470A;N1MYC}QQ} zfRLJHh~!S#c@SJd@HYtV?d3bALDdQcKA2qn@9h7I^F_nzRZM-3I{eG(w^|85uT}3l z@Oiv?9A1yB$Kf$}J&x^(|4!H9>Yr^0um1KgWVfCjK0grS#dVv=@%ggI(XYs{9z~Ap zOp)Vvszr|9wG}yj_gCcj-A0U;)x%=;zQr>3-TvzLE%1B1Se{P9T!#8hcare?DW(^m{Y1ZN4q@6K~i#ydm1;rYY~PEr>c?)kQpWG};~j~^~|mEnHV zouzIv+>2emy9}Sm;=%9o^YKg{|GLyeMn8SLv(!_TyGXrc_*7P&y=C~s$xc!q89tT8 z-&cnF`8Z4cWcXWCT%`Uoe3qA!G(d*?`8Y`f<@huw=`|VdHPuNPB*UkVca;Xq@HgLb zmWIgispE!A@K{db%h`{WzoU$P@>@<)^+%;y8n2%+!&!2Y(N7xhBst6QaT8o57a2Zf zhKn>@hEE?qLK-2>t=lB*1#ILS#GDZ}4n`5Gm|Cr)yfM$7PVtlf^0;a)6X zZZdrAo9y?XWcXWCoFoq!K5^1;Ng=~MJ)NXCWVjc*&R7}l$Ml|Ze5{k?CC8_^NaJL< z7i+iU<+!htG(m<>9p@r>%Wywd4ija#7vqy;_#{>@lV$kC$Ulli^-dhD&eB@QIULq?s~& z63g!_8ScgExBAB_TZT_%^)gR}`^|Ea-jU;PI!p6q zxX<+AlD`a}I?h?DS)EwM{}!9?-j&slkOE}5-&kj9feiO%^W#Dp?&a$&Et26rY`&=3 z9kPtakF}roWc1#w-v!C=No<~4EWR|NHxYCGdYG@P8%neX)TAru=qyZ`Pk9GLs8KL-wti_NY%- z`|-Qu`;7Zq)9R?|`i^C5hW+L9cldMTK;`#e&2zXExl_BYu&>5e`^n3`LFY?nsq9m_ zX)hc0>xZg3r|dIz&`(x%Na>XNbR=@v*~}__U0? zc5PFQQ`7tB>?|7CJje7^?%h3#ZV6+}Q&b(xf7f??8CJB4;lJ~2t~sXLIjNme)*IeT zcJptLG*R6**}43+sF^SC>z+MXl0Bm6?WmCCR{nNLaSt-=vs)HTh+3H3JZpGQH`9Aj z#h*I>)+7qL%!9_VOcVO}DJ>g|U%eYT9M(RoNvE%4%77^L*3i2YxBsP&Tdn z6ZgmGZL@Z(6v+w?$zf0Hf7Pu$_83~L29yWrm%r?-i_7y;_wgw4&Py|8=rW4>>-rZZ z>Jp2BbV0vs+ZaZ@%*=DlcFc9WZFV+Un_e?@F(&1Oe)+A-SMxNRHRH{X^kYgiTQqT+ zc=a3RIKB51#Z|?mxj{Z>P3_HFO_@cGI>(}|bhgwK>{6#d4J*SFyv~+1%LN z!Q9f^&1_|EXWn8oZZmtCl!nEsD0R2A_??Qi30rNG3f207FB6Mg^m7eeW4dc%mFbRG z;_~yIV;aY|^^EsvrZA`L^y`<$G(6BCb5sA^Nm0%RnrH57?XMXeHS6W?x))Kc+=4u# zVpit-ROA-rUs0S>e%kwco?kBpBr5DXHV%W*2JlOO-&8n zhW>^igPq~QoTxSGGKi<$brnBZlZ#Q#ZR7!>}%B?|WY|vKQgrv<;ZOa$AwJUVoTQvB|>D-$9^gpnr zoaN?8ac;TJ5Y-^LhyMVNWQ|SU_-l4owwyBOMm2xgx9H6$K6!z<@1sUl+{o*o`zWe! z#h|>I*JfWiz9VV-gC5FuN#j#q_iviC<-rk+M^>!LE4fWpr%+F|UvlTHuAyVqKFJ-* ze~YqD9+K56G(Pg(81LkEvhIcgR-`n{*8*S`q%zhTU4RRww2Gfl=ap+IJ^_;m*=jZK<%Ja_Y{^W^&$HR1X{}5z8gg~_ElqpngqTq&9~xNadw&1h2e&jGmEPuP zmDkUsXP+;fplWCQqG(7_j#1M=d)4rde!E_0C`^yM5|_FAvA%mnS#IS+bBsZXX{}hV zT&LWkj8n#IW3`*K>$O|8A8J3+Zq#;nIFK+#HzqIbx!Nwq)mWBYb~WxnzK0>^rERwD z)wr@uFMYtv-A8UEeQB6B?d4&z>fIIJ>X1C99!JOYSIblBTA#@^>AoTJs?7`OeT-*F`bClby=@ zMO9VOK2yi28|QSTzgvfHVkdRYCc9=e zEws1uNT|#)=A~u^S?Siks2Tyvy>y54!&DYK(2lZsR{`WjhtI4t>~69ucPL8GB@`)j z$|CI^^B7Zg?>4IQ%paTW6q8MzV)hxD8y0odnqw1sskTDJ^edfJcMOH#~YD*wjDgdPz{KOL5`4xw>yp=?w4HHKA@c3Wp~( ztthjI8@7rTM6LLH_a&cC95?Llr)=W5g|(r($_7cDY!vEQse|q+8z)Uxk4TOlY$#sR zGPz%Q&0MnE2<_;JzDv%w>#mo-_#||rYkzIS(9SkW^$Fc?r*x&an}psld=Rzz@5oDI za`)?QvUonYe8E{`pS9oAJ<9jxMP1e@o$2YivZES@tOQd7{Tr&*9-SOMw7n9SllHr| znW~S6wZpdf%Nef)quIj})B%gz2kx6HBXX>NAqe@1nGxvEGN6_YIaw{}c7;Fz*~ z_r&B1gYUfE={~14ccMBc5BA?){#TLplR>$kU7LONcpv{YF<+iIo_oKbdT7c0v2Buv z`p$1Z7L9(9G}J%dR1syB+%v0L=vLMya({iO3`=fYzAI|b%M(SfN6ky_X8fn9)syPx z5LL6b*k1Oo+P%pC$?Ci{x|FDzWyL1j)TVjWBg$`SbK|r1-nmB#pd}PI#QXM8RE;TD z6Z>o|RQeSKZ_arhIoiW2VRPmJ(^6Hd3|G4Z?--Ai9)bHmU3Rgxa$Jm4N+ab*j(PfB zd4nFB+3;^XUNl1gwyK-)c~Q$JuDM^dO?!T!v(__aP)bYf_QH47V~XbMm#J)xtBck= zDa&ixHZ3!;X^~e68~1%oqYcq7U9(-k*LaOaB>bB~SOl(`}VpOz=&Bs_?)g?VJmhlWW8 zO}egPU%lnSUgP}BehSr>nHhaIbWh7GTK}c4^os_W6Fu7artU17GAXC@`qrSH2^}&g zc#Jtwhxcm&8Tgujs<5GtCH*);Q?ucfje?!O3yC+*0CfteI`=zdU z?%d?AM%J2MXnOf?Rs|+o`*%p1ppHmx;?GtQYPL$vP}(JVtJfqq$Z8$>Y5N1_t5NM< zPAz)xg=SP%!_duVQ|IM{?9p}%%`iR6>sC;>DKd3T-uyk<4uu;dGgjZywqtA5tChF3 zc7+*5Wf@IxDOx*x+CC|WqX*$P!0 z?2A|%Dq;<&=#lPG5nDR!Of9ZjI+U;0v6)F%S=3b5v?xxOrccxN)*sO?)aU8hc%t{y z-_^V5PwUxg+ED(b&ZKIf-eF+PhE>bz#_G>Z4|ET%Yu0KenT8lb{wr%`8d}bpO_8n6 zwkTc~zt`N{G|<%9G|JT2)VElZs=2DUthu5|)A(8|91OAMYo?e~^;Pv{b)YF!U#NG` zCzO~sn75hNnYTDxiSN51!Et+D|7!{9<}}}D|VOX&lq+GS^=X?bLHyiY6ljTw2( zujiQ92y`7+(p!Trvt{Q)*oIUa~tu|cR97B&@IaA~1 ze^jDX?62_uILpstnNeGG^aSgUGae?q|J2>)!1)Iy2crMEQ99A?_r%8IyQNF`@h*bUw1g_)PNU`+jnnDRZU8MtNj5s z=IT#s{QS-A!(qoyu1GhnL69Ony7OwEM()tmwxDsHY~+YXA3=yokfYSckRS zP8d&H z|BlP+eORZTkbC6tck1CDP2hG}w^`puxU#gnMvh|bR zO~ob!>q@)aExIfEwyJ?CEtK2YN;CKPVO{CjF3NTr${w&uA*H*v^@d_LD;(AtLav@2 z7hs;Hn%DmCvw33q7&2Im9WZr7sMSaSE7utA-O{s>l23C@6v9K*Q!7;g&#>2Xp z%@4V*Ic&9%eRe|5^TO8+{|)#>yH>kdyFuG+Lw)>x@stcyc)LcMd!S2b0;S{E1Qu!U&0L#{)PgLjUxtftSeYX6^lt$MS1gL<2K zo!Xv7GR9Cj;1_eOxzmPnSdJd~&g^Q4G}sz^4UUGw0sG9hrqK3($LD4o9;WWf?xJft zK6eYfHT6N}(NDEztKT0KvYX=h`>cN0Kez3M%uM^5y_C}n&;E08%(RR%cLOqBJUsKy zqOAQF{F5$d<{l6F>bH{@m(0FD%B&8}^2uK%)hl;T zK+&yDBd5)AlMHLKZ5yhWkJ~q3@V_0}WY}(5?Va8{E!X4N1J_>LyLBwvvMF!l72^(b zbHk5gjc3}d`1ZSV-E{wDN51iAoAUkBH7+kNNQKtP_7zWCB{$U_IC(QE`FQck*ys+u za|Z;hIJ#-%ggNhYu9$gH*}*u=%K!0wPi1MjO#D8`{{gU`pJL$H!sx4KL4@OI(y({-wh*2 z7{1)R>Bz<_!MzvsA3Uw8o4c;Xv4l3I&OeQg|K;R?vx6_4ZkYM^Gvlw_+j!e<2|IT_ zbKl8-d)wvysoUMu_+9n&hNOsakLSH|8wC_aXWLI#_kI?-GF+)XlJIMG=vvb( z@BCB0-YyS~EQxs`nH_YIhqH!0Dcq=Wzoy+{ShGD#V=OSo9w}BdGxhY&4|{mKct!ec zqrpb)om1H9S+_V-^Ct=G6Z|&$_BL-ll3zGj7nYq68E&%6&hJ%malQWgBl)Et9jQ!t zR*;-@$Q0q7A8DnZs=v@!efGAto37B)+})sUYLX0b+YcmoUvfy(w)0jfJR(Ypue*4c z6?Zk*F}_<@W^H(ot!ZE$qA$!gyXzggK7Qcsogbo$InDmNcFd*uv-9(Q8tvdR(0OG) zcGmCOG;-3M3zvwc{h8nvk+ z?p9{Nyu!3L1!f!5jO>i1?&ge~{Pib_M{bTzTzXNRcu3u(JZNpg>4*dQYn4(=8-3sG z-D{PnBK&8sRh}*_z7jDne?{7F<&S@eNH}}T98#biYrJsgX4!!g#TRW&R{B-V3~dbV zXCktEV-@2s2I`Q7Km#l2syOS4T1%`v`f z6{+)BUgV+sxNuCggVnA04-Lnn%;UmJR1+e@%}!k(drwI}bi9C&hjq%qGinY>k`s#7w@=xyU^~Zu4_`BZ1nH0zhR>&@4DYN#=C5$RNgozsdb6X zI%Oln;cPoA&AB6GCmNMZ9z8n#&F%jw|G1qwJFx2-k59)NR~}P#k7}IVAt$kI#qky~ z9kOSxo$aN#zxIKo`RYjig^s#EHa#C1t$x<)WSr^QnCR|ZMvm5Q+JvV{YP{%>AVPA=JLUGepygsXRqU;Y?=;OSuFs<)$`1jTB$?#j|mDNwjn zWHwaK&2hBXy*RepDr%Z8>`=m=yKWA$%}w5Q)6pTCHXSVUO+xukBo99#Z_~xDB-?|$kz6&>X8?ryLfBOEMB%9omn=V}T zjno&eHAOcpY;3+bWR0fuREb;Z_=_>RyV}(J;3u|k7}x4tn?t#XWmk_G!~cSp+#HytgEQ_nCTJ6bvFy{D^2 zZIAK2lsTy+(%Nu0JE4JjupwccrudTMoQjn5o!V3e6!pEQ*;+CCVC4NftNc%gn;r}? zrYyILcD-#LQW9xj`fm?2tG}P(Oogn)M!);i7_%wHVXe87(Y=9rpguFZY?R?*tjWhG zzu4NS*_dUo)4m;T%4(nved^&MnKwPm&R@0bgz*o3`M!nESFH>&n5<%A@*hQO8lJh? z-#R9yQwN1&Ym=Dpd1dxiF$;PrIvO%2s8=lAuYTuVd{cE%$o|lV1^w5@^wLjip_z0r zp?&%FY{yZCqu)iS2Zp#Oe4Xt&qU6pc_1k)1HdvgwsjzzKayX{nz09o@a}OqTFf3(G z##CemJWpPksvKI7zftR^+i6!`o~=;4w7KLvc3z=ZPrYLcW3Sg!%tsOyTytz??wg&| z$M9K0&2W8ScGBRNHySvGJ})b?zBK5M3e`7_lD|Ju{7pl}%#g?G5%aVT_e1v2Zdo#~ zooUJM(J4zFF~z!yh|5WF(WN2o%9gj3UL_B%{kCfO1jW>)kClEUciHktzhv#Xz7@fZ z)hBY2S{i=X;6G-b!tn=hbGN1YL%nrldj7lgdCY}}qZ3Z*v@MO1asIaH?w1QUm{uP# zdz`tcaeP*4rBN8zrbUBW4$VwG=H0hj%H>=wbG= z*P2827v}4VH=M}N^U-NMO%Kl8%(Ktd9@Z2t-ES_tq>jysKW1)MQQ0|K^Kf*$@{pM| zbt?xORo9Bnq0bHdV$DsTnKwuED(OE~?OgIztfGS<_)?-*Xp<7t_Yo;Bw=)Opf*wU{ z^B-22_Sl%*o@9C(8|yT!iw>JhJQWH1^x8u0#@tC}V@k+?11~20=kQVDxgF7mqF#HM z_|rFvZWS(nUMp_@k$GkBgoHy;U)irxcowk>9?9yO9yUYWU0*!ER3nwz9X9oHUC9Ja z&xWjs@bEdLX`x@Ko880z={MS$%bpYuXrJ^!Z-se%?uctjn~M>b9$a`9YE|NTen+8s zdUA6^wt0PFs7vmUlQ)+PDq-u13&&$3&z;w(r>pzFjQnXwX43Rzdwq9ZS+A`8Z?wj2 zhc{HWW~$@fd0ZGUJAZYfQd8rYd)tyT59#;Vm#4J6l5ts)^DNo7m-*A*K}hjfVVN>a`V)^WDu! z@BCBtdC$sMZHX>?r?jlQ!SY3{Q9=COUdqzrn{@6O?T2lo1}Nn>EEs*vxSkZyAPX}7PyWn z35!i=XZ)+-0sGS8OKSgud@F^b#71&#cF}W_&5@Wk>Eqkj6^ARX%+NH_eWLUG`R=M+ z8)G{AX8O$44~aXMoLHF1x|L^ATf$6h>hYe~~&cSB@sjCVm~!>T)pM3wr{#pMPfW;|(5ri6 z(_-KJF<0*v>j#!7ywnN3O{sUw)lZ)qE3C_vN3vWmX-Z4nR87s=)uS~Iv1WFu!v4Pb z zIhC5k;@_JqF2ojY%<8Ux{QRlmzn*HvGY84sLm%h%*c{+nrcS@R%CIHc`;fYYenoo! z?7}|!#O%T!5{pM!83ya~rx&{A+7uM_s?ante4kjUX?XFtF7nsAtLDdP?GGHt|Kiq# zznUuqY-700eT~NB4UMh)er@jp#YR)R0(Vwqigj6G1s8SUW=F;c-COY~B2}9zN?fXF5u+6)Vv=D;R6y(9a#t$> zsRfG~TNhj)lK>X1N^IWLk<@dav-`|h_s4*ck$+^z?oO4~D zx2}XMR@V;GEe1?$O_VC>P<@^p9Sujv4#6d2)11*5jso9kJaa+x4R$7w@RUeI>r9J9 z>)Thl3jI4-Cx~?E)2d{9U75RZf$^^Vk@UKi{CMWy{9evsT^UVy(6pG^ED@5Ai%D&T zs9vhAOcplVtwkmc#Hs4$>P}Q37h1z!tBo^DZs&>R55I4pY1i_rhE7TDnlc(ZDp09A5S^V)PKF zI1zEgR||SM3sm8B#Ez)5MSc)##NF+ww1!*Cx@E$nFEg-1$wAp5)~|~V*PTror-pr! z^3vgUb-&v9w#d{V)x1;3n($26G-bFj(<0zg2^MQ9{eoyI=)e>f*QFrPnf8|cR;D%o z6D+X?0(vP6c7lOy_(x$8^sCMKl^o4Owxms)${94c60kFc8t)<+L9c=#iPgZ%2@isL zt3E>5nUF>~SEb3oTH@fJ#o7Rk+H%$khO?;9A=dJS&n0c3pj6|FHJ92&1;m@0h$e-R z0!_7KmV(r~`>cJnPunf>JtkuL~bScvY zeyJ7)SD~Rw2wYRlGV&m2P-{b!wZe8pI2IvAO?NdJlD5GHvDRWmCN#?)dPtZvD>4^t z53S()@WU#!`qNCS;Heeb(&NN#Yd*zL@pstjjNTr^*UA<*6@NeqZ&tPBB6usy%92+j zaxfNEifm1vXNS_tqbm#{b_4%bg>A5cs6wGXzB-^?`@@_HGpm$vX@BV3ZrK$le4RBs z(|Po|eR}!dHkr&ns?b2J%)@wREfhh#c2t_7QLSA%Y|Qp?P}Mudf&4Q&u-)Rh6k3re z{@MzqvdgTJCtAvK&?nY0tewj0y-N&*P*%BdPuH(tSLOGNlMZpox!MOLOnJJ&y9E z-|5%qG!&@qQvBK&uL}%5KX2i|GLaW}BsHHhhvYOAzF2w%BXjOlTJi^eX=T|*-zoZs zGkwjr8_2(>jT$|UubT{o4=ju~obl!@t`a^CY1^6(`4yLoR>fO(E_%lCt|BhS8~>h= z5^+})7;kyK@UD1s{9svt@yM!|gB@#s_BjyiVXSw!Z!9*=*t#C6NVLSo4<_~0B)cnD zWcw`mjq{I+_`r?%^YIo`+-HV=agI+4apK)W9`r_egYpfvNvT(kMzh`fH^6HaA;o+N* zpAs#vGJ1p~>K!;Mc3!T}8}`R|}ko1xiuC6+=Gg&=)S2i%(HEJA{&X ze^K2k0$K1E6+FU-H$whbs53|zpN|!t>ZsQgt!mzby&%dFEHPqkILEl$$ zyI2O!ud>XUyI7tdZ#;2w)CV-~E3?AFpP}=s%v;>}`5opv6Y)=#wZ+3ni#y~4_38Y(9Cgt0!So2ad|2O1$4H;ZD zm;#cF)DUo9Ze1mG^KW1lp6n}aYK6An=tHEX{=M>fRfFotQI_vJ>X#0ZHJQ56VLT58 z4c^AVlSAht7K@zYH4j%*WtL4Ljm&cqe+-XLm+d+|Tb>jg-F0}^fs8t3xiWZju6>5H z_dmV8y)?(+;cVNC(0}dEFj!G_RJo>HAUe8cAFnNG!!!~Ny!dSJ~_(;><%7Og-OF? z;=spL_~_9WyOF-diz&@D@@O;I_APCPmV$!>jIk54m4UsYizUPI`8{ED@%|g-KeV$y z+k}3rN)3FRk>;D=(toIAEJNU%;Mnhatj@jOkv#W%pSLP0s253VuL~jF5(ZO4bz78> z?4InX6y9b*Dm8W*nubAx9hh0d348~>FW;8m*8?k(+=>HcE{$ zJE@&4Uz#sl0WSYSNq3UV7?g9ONn)$}Uiqc+iE_U3kCL(KpR2?XueNclH+OW9>>Sc# zfL)M$zr%d}Q{A`9A*KJe2@!el;dJ4*+bx?)y4eAnTRP0*Il9bkf#G@TsJoEsDbBL} zVA_O7WcPJ;C`xy=p9?{}OJ1WBN5JmK%mg#)|BwAxn(Unv$$1V&WI+`f=?kef?NPb+ zvhGb0M(oen&qz?K9UFWG4E6?VgPnn9NFc1gh9|wHXVatZ!pkZcD~N3+!_@wsQmazi zQkzoyQtQ$~3y}jQ<;ci2kyW`$W&GJzFrVkd`;@5u%tWRwew&h&l9Q61617-#utI+5 z26?1pSi|q3?30x$^PT*5IOB!{stB_wtNUSQ&soljq`|6*I?>+8$RAe>sa~oLY3Gq| zzeX18{M+F_P2s0Gvy;s00?0#KIX;;&NutuBW!x;2e;hXtFRqMODp;NNjYwdPh^N=lNP(KnHrg}VMa?LTZR{pXZrntwPRVyC z$shWHY4R-I&sQvdrTWmVmZJ91?9klmN#uIf)3sE(Y5|x?r^JbNs01Zu7>L|LWW@ii5x^H82quDdm?*`rF?`%b=5HK>GxO?Eg%vuyVbb?#re zEpSF&SQF`lbFd9qc#`>OkjeFBhKFf(l3bpq%Gmpk+M+UmR|-^&z2`NB?MxZ<`xS%P zqX)8smI>r(4N$U_oQiu59d)(1;0BB@A5{e2hVtVP*9FpWOx z-?Oj1+f4-}yf6p81G8~?hrEes51Axft~wp~j`NKwQJN_0P%?Wvh#k_{X^}rxX*~im z162nqTbfKGm7!U1T*6?8yRNzY%%tQm_s`$|-F~P2U+n+%vdBNvAInhQP^K$&CBq5! zDnHpz(w}4-r5j~`OaGRACKVKa2knP3D{M*C;Eq!rmVmwKWTCH~`K?Z$`E?KE9>=@g zfrp$ll`hPLPUgfutD$_W)WzX(h{$Qwx&1awlne+)+~-hj%|{=qOm)S5 zP{v6U8a@QeYbZevG&d8177kIZs_587{u)Po2JVO7=^(+Ba3bME_!IU-_ih+n3UhT@ zIinr&@1JAkfB$AWG9ZH_7tLp^GUM>joN`}v=7x9>juWa+@}%wgS`jW%6x%pzp@_ z!f25`kr9!M$goIeBy>CLqGiVJJ&@DVu)S|A8*N99=bYG>iBJv=kppE*i0^+CLdj0# z#o6z;ek%v-E?+dSb0c3>vajhZYgRPZe)GnBPIOJUbETZ?wbH!NOU=%O5A`UP2%!++ zYFrUVJj2AahN~AXVtNC(1%*}S`~1D%WB{?hnB0^84I~ znYUwzsIN`Noe7se7zH1uV@Cm{McG%tw zQnU(&EyIR!D;+Le!aPnCE@ip}TL(J^+XbiXfm*)Kl(bxs9Ke_i$`KPem_JuOP|i?Z z`mtQTr@cDqnaHm-<=2aYJAb@rDNlQ2Sxg@p%o)rc%!O%TRv!{ry@P)CtsBghTM^HC zm-@hZoBE0MPWArv_VwQNZuPik8muI~vc z%%T!58ypEgl3GgT5Xck}_gVxleB5Y&7p2otx~bycR>s@9aFIiMNKQz0$n#CGrz+7M zI(x-Z>PGq2gia%N$e=~tCuk)n@R5p^1j4r6qY(lbt2MOfiecTCc3{wYD$|9WGY9S5g#z}_4SS!;KY!arVEacqQW&D1v9e;_qaCCD)U1(wQRyUBzGWenj=5l~UPd^Z zK>e$b+sSG21PQW~W0mYc_WB4#c1DKk1ixQ{^qISsI4inhe>17MOGr+8=`zPAAuZ3_wZ z$gqbB!*xP}KIS7Ula|TY{AVIq@Jv)I!8D>AzALHdhnuPmvelwtYBmQ~b53!q%A=0K zit0gau+AL&PEJ!XekVgZ4Zeh}F?vOPigNI4%1&1X{$-}9O`VE?xw{=gLkcOniYWut z5F9{gN0v}SPf31m!+{@Wv(d{r+Q-i4;31(f{bt|5)z@qra_W}zhA*#{i=Q0h*poZm zk)LbLiNRxDQm@~IQ!&;)d{DIXstfh0@;BwT;Q2wBu51*sxHSA)E9Ty;P}nQ16?O`m zB12Cs%Icf&kHbH{|JeQmPIBzFZ@5!yU^}a3Z|RkDHpg(TYz3P3&o1L0^$`DNu0^aI zQ@SZju8xU4bZu9MVIS2NS+BHL79)+3HAow_oJV7?4kvJWfUu=AtQhHsVEa3Fq1-Le z)V*ioO69g=P@u^{6|yCUS+!Zv5d7|2FcX5hyM!lmV}nh$Y)xU&HIZ%k+W{lfw7ywn zF909^0-9+RHVfN}1!9}o<|u}Vk8zcD7)MnAQ|>R(Emt%Qwj7<(oaB;hlkAlI`dj$N zWgKh4#aiuMr?FaD>SjUA7H2^aFNT*}tLLVNi&kG9<6f`T-n-u=Pq;OOT*MwsjnV~u z4TG-b>T3_2t>SA6EFe`X5!ul#SGY`_14=~Qil@TlDB&ViKn>h zSqA8AwV4?-vOR0Z1R9o7VZ}{Kj!P8iVkOjI~%FD{VHDOV@!1jZ2 zRNqrWHN?vdJ}8Tgh%Bu(m-%GI?icR2e#vfsYMEneZd6WDUQliiE~hGeT1->7a-KXj z&as>0IwuzgiBkGX27+1kgA|&K{#8?byxP36>!}>6T`DfY!=t0AWn#yxc2|puA>QJ! zLox3-F)U4)sXbr`_n6*4J79-pTDe4&>eS#zoXbthO3Hz)>qd1%T|u9{{^kn7y9&yQ zdLPKjHOjW~K4?qyI~KbqgO*{q0fRjZwEUXJZrF90Htal1AJ)97XGl%7nDd&Y<$Ynf zG4C`Jnwd_)_Q56kgeA-(eZo?vYcMTXy$5cYjE>Y~*bt$O!il5jUBFDHdb?#$d0R_* z^SNyPt|@&WjBy}TebjR84Urbi`QDu_8sPgeSv+7 zeT(^Ho3O=LCT7nvBkrbY*e=YQWk{K+OFM=HncP%Sl^Pp5d3Nn|jlIU2vLgfPed-zY zOuiL=yw?U>QHPqJY7cmhwMbiH1n^-SGPF`Os*C=4Om{@*G9c35pa!F3puw2)lru)r z^;`0Ujw4~qkbyTxNS_a(i=$aW556-$fKLY_QwARe`!ZSl;7pT=avFtlZ~@6Az)AERyg} zmc8W~easwAIS2&}MaT3ZMt$^(0)c09sZ)u4$*@A}MN{8jF8rOiEBf6%%q?6` zq;=%vNcYHjqn{5bj9)m#_z`ESNY87mHwroPOXDH(OY===&jcz8iAAgP%iTu6@q+qY zS%Uce(=Lnrz|keaSNj)rmIY_Z~Nj2`ww)kvoZddCz!E+57Nf*Q~h_aT1e(NpcecMSNR|i?PUPN~pbb5QfUBZP5G9I{F_m>QkH*J5gOasvhK4Su%rLr0`{q zIm*q%!#=iI$QbOz`;8-ix)6!wt}>)jDHY{Eea-deEgE>7O>IU<$D``)6S(n<8TO)67%Po>&!*X+*NYlg~9 zrMyy2|CVu+L43BJaoOuEXX~OkxYX;KYZvXP$5|Ns^9ZfM^&MAvIp0JdmaKKF_s;)r z%6=sh6#UocCtr&^GnL5ffZsw3%WX2hP+dAX28HVu##@lwa_^tre(tM*KlY%-W6%jl zk!Dg#zF^V*!yZCO&d*@v`f}l25gMSUWHs;{)g9Rp=@Hq-2~zP@PU~(a~^QzWKp!67sVM z4)5$?TeI!hG&WsfMeWrQoq5U5o53h)H+iVIZAVO%rH0#xvh40yzYXv&M#n2}^KRnT z_!kii&T$zfA!#Q~b>Sv++u?TDu8y8DcQGfZGGqQGIHgLT zku6~FkEj~C7Z3x*oE)pJ?hxv139zYmOtwj^oOqahy4H4gZ4@ow)W~H?B3;5lm)W!EDBvOXo5)RvHJ5t;R)Tqj3Ux z&`o2laRg&WSJ34+Yv>vV(~9Z9v}L+5ZJ16>d!`%Hn(4^2W4bcI!3-vy$p8}7L1Zg( z5!r~GMD`*#ku^LFKiv?b8|)8T9xa&ifOC@9gV@4;q!Y0LPsJ4dTq$~zcXs*rh}Xz9 zIDm8`w%|uGLqAgr<-xX;FX>3E!&5MMKSzq>!FH5C=}J65ma^&-V}?7!tm%iOa2{n# z`H{{98|PwZKP;v4C_5^EWDpaH`O(?xmT)Y!|AF#B{|x1f{!7YBA?1@#zuYq=cx+Gq z8|9mRKc!#)Ps*SAH!3&wE5Pv>)CzGIdJwzt*+4421!C!EY%}%`7LC5{q#?766VvMiUm)bL1N0Cv=Vuh>nU*Xl~MT+Kv?p=J59Mf_cfj zSe}q)&0ETw%}5c5DEf2o6bni9G@J^bb%`M?p=t$y8^heN5^N3DhRwmQ zf_{1!bkyZoGS-L1ViHV%)I!RnaFL?~!Z&y-I>cFfwIzbCYm3KZqa0r}0Dh9{dHMM9&08ItrBO zP*A8NK&cMnGx-p)q`3)I$c`0SCga<1cRUfFhabQl@z22+X%84AZNxvrkKk7@XY2&_ zTv^wo$wD0wXJG^pj3ZzTZ04Xo;KOHv6U$#%(J$*##k$+TpTWas37WO}ksG9#JUXVo{M&!Nw^ z&$iFAZ`MFRxkd|uz?rv_HNWL0D9OhD=j{(hwgZlMv!GjNZ?XF$*9Y*pu`n4&WYGXg^CPDu8J4qJe(1 zwde$|2V#z37CVr~-g5H(-#IJ~vHPFw6%w3`Kp=c!2O#X`0f%WdCRd7@kSy2{oahZF zzs z*_wP!uBMQg#XQO5Nk-Q;H<5D*2Vy$mOGFa3#3zI&v5;^fW)Xn|zgcXe{s8OU4qt(% zVbA+Bq?$a`4hax4h-6%Vnfn=1W*%e<`;rd8QNIIg>1Rnr<3D!n5_r{9kj4}C7!iE9&2ul>^2GjaKsPwZFyvi_5c z8)kiBz0`gE`n&hQuPE30N81l5>Pz9-KaH&Ji#8WuvHtwIw-a)%Dn7(PY>gT1AE6iG;84y|t)r;5qgVcjJdjoY7*9 z3?LUU3!eQ8h6gn>z>B`PUY;%g1acM?%VmSf$sEzH7>0-?w3eK*%x?7IBy-N}YWQgT zCO^0{4}HnAT$L%Fz~iQ_EbcGwDJ!#iDa5*Z=RPk@JT=T?i~{d*nIhtsjc@^6?wQQw zC>t(OQ%Ntapcp>mSuWy^#CB><7^;LY---+(V`3*Tms2vFF>VPYLr9NU7s_wk7&va3 zgpvM`2UH2Qlw^HCRakzC1V$m`08GxFnT9QhTo zXteG{#wmFL`Z+m=*cTmD9x{V3L~{p!f#*bLe942+6KFy#qkPXJ#`(OBqpz@0{0z@-2+DuYhPXs6 zBwdW3;@4l+4#@lEFS=?do8%a9m7M0(Q{p1U1vssK4S3h?`lfHm( zQBqa`e@+}2WhvjAL5F}ZacY5vdNmTdk-gR8X#u8m?5}Y{EYFMBSpVs`NiNwHo;3dG=Fs1UWA$TVMZYj9;IO#Of!;Q)NhG#V6FliO%Ac1 z)M+E!SO_3COyQC9-|vdCq4Eha&c**lWV|*5o((e}K!KDy-au|lme3~lG%;>-w0mzi z1u%fv1@j2vY`%ONL>H~3j^G6FbSGtnt#Uz`-u)*oA>-cnrm_W;6Mw341ODx3Ds~h9 zfE_x;2ANJx=h7I&N=_&Mw zK9FYKz}Cny>Vq}-oNphe45L~T_{bMZ^G27_(0qB}^5_{e2#tqA`GAkCls)ZN47?fl zJ^w`66Y-;d*tu3kaX$IwtVe(&(bCBO$P9Ro)?kk)T9FbY8!38^5Eu`zpEN%Sp|z+a+0q7wSNj^W~lZ-%8W-rwFa@G(WU{fsr*bhsUlD&;wKH zIJ#sAtnd;z+wdz{hO==64tP7j=xexdJ`Ie%Qec6uCINuL_;GFP;b!=FzQQn<82p+C zyR;;%rGS^7h~U3`b!bR*^(x##ZH3{1DsWVgxlA}Kc8<4%S<(`EN_32MJijGner!Im zp6{>y9}lWqtdGdY8A8XQH1K4}G5z-Lm91g-%laRVyaz&=lZwSM#elj7n1PoFLnKAS zF21wz3ciRRC7}T)`2`9f2_!yfg2jScj{+V6zKw9uzyEIVB5;Z2&8+*4X3aujfw661 zaC^U26D`a(&KZCcDK5bzIK)Jf8GL^k>sVp%i9!Q6koAcukK@5Gl%1?T#VX{SsBRHg zk$T(}FXk2SaEo$Ubck^kZ`bHX?A%Y#Orf)IrZ7MlC8TS2HfcT?x2Xe?L^jA!%?JDM zyyzdfw1S6UMnnV5-#2{IIB%rGFq7@EtEt^xuEcuf1rSJU_S( zDSg2LWS-=+B%s&4eAxf$0aV1EM0qBk=8rS1#<@`-OYt@kpP8Uib`wVmR`o#mK)hMNl?gY)1(hFE+H4}B{R>MJ)cRtCL69W|@SkHy0Bu~^_K z_#p1X(}45I22dxA;t?(eio^(JdUwLGgR+cR;~BVNoMobQ{S%%9*)qQ%0nLf;OD>2F zWV$m-DbFatT*v7A5A_yGSmk4LS!Uwyyn#R5S6viyY4 z;xCG&f5aML`8XivyvJI6WD)!Zo-Y1Vaq1(DpayYAJsD!;G44GCfCQ%j*P?=2!}l?c z!;Aorpda7}@TJ5Ap)ZsJjQ#yBBOah#i7FCprvMMXWsdSyvChH; zcIq=HJ+Zh8s6XCSj4`N_I`@OhaG*fNFb6(cA82-wfESYW`(jVQ~ z;LC}lF5>e|VJ&Rs%#jV9oMQ20z!?xAGwqpE6EkN`z07R!Sl4Ko+7FT;&#BxESv2(@IFndBs(2A`3UQZb zp?N9I3;F?<3xCY}itv67AT#5^ZU4qht@(q$k`1_^Q=U6Gb$qQ+Kn-+; z9rI~)e!*y`mJ*XkS73z?pd9E62`HgPK=&D)ihchQ$bm^5r?Ax$mt^m-!m?@-$bnH- zzt_kYyq!Z(F|N2es`@>kb;C;!hv8?on&SGD*gc&fCTLLe!c=G@RtnaKT4P&fp97I78ozbsX z07*as)YOcA_NxrRDqmq zaWlIE4wu+}Txlw>((<@}*8Q^CVyT;(xd~Akg{&^5BI=sTp`L48V_KVB>+d!Lu81 z%m6C_sI|oZ0AUc2Z)9PI!HY^Wjx}nZyK6l2jcs`KM*tD{FbvY80}Yt`!Zi}4cEF`5 zhW+x5VoY3x;rww@f-#ndPJd)*GAH!&fq( z4VUBC^tX@=m=k(Yvz-P5im2dx3nisaHokzIm_hl*d3ewCpSgjt!J;hIINlL37XTeC z)>Raoum3=-csrc{dt&n9MpBCzaU1?*i32Ave=x;Sve1bl`{whHcn)*N5hD2@ldo0^A;ugcCms8+t2 z*l0FviWbE2h^tNF7Os^03v5pSi5L)_#nsX-ppurqLM<5IuNyJrom@&eh z`H*bse=*{S1Jw}wlkwLN4d#$sngZ^*dL#Ze4!( zjqK387OtygyeL+a_Wb`UiqrB2QvxJ0lcNz3M=w7_QSulFA~`|Fa$f>s$pg?CjK9YY z{J@Y%%KDP>6rLsgh*?56NIo7yy8k1BNU5mXV|za_FS-QqfbekMceCD#Ksw8pD^f>v zFU23i=NpL&zWU{YfuFEPydQz6{pV!LMF3m4f~Vo{bf6x_Qvlyr1Aow-%P2q*ijEKh z09$z>30P(?wJ+>|@O>w&pJa^VZ6mA!n`LsngBCgoO>`D(Kpg!Js7gC{zkiJjlLEt* zQs0jwm3W{@PA;&3&T>3?0g&7!Ks%rS<+6T0xzHk#)wWX`>%W~<50^KIs)ggVaWOeX ztB|ICFV0t#VCVV4iT6c{|K7&|MA^?zcg8=NmiELx?fdu* z>B#jq%iT7z7rHxqIp%tby!;5Ny|jAQ$s-5n6gXNm$5U1f9K*j`A2@T0$r4PT?Y zCq)8`M=QA8^?_ki`sjQJqa_}AatzE=8I{1*W{J(gYpTgdW1ZAz%5wo;g(N3EI_%RD z4|lmC9d(Y@r)*mvxL``Mt>pfHU`O4o736#s$E{)JT+LrKkxQ4?|Fw?#s!HfOq?nRC z_{IWY2(IPB+z@c&n!7-^ccfE(MTr)e-bn*4z#+=w7=2w)wfS48dcUD_3HN^w8Sqvq zCTedrMqlX=7grm4yVpU_jtpg(Ya)*wi{cF>B)rVXA=^M&evKJj@#rbdk{QPd zV_8(LlGt{I4-ZmWVtVCP7-P9*QYT|9owF=j4^JN|%!Y4Q3rnqHC*spts83alK-e+~ zo~1jPOOCXPvWTK`6ZGJzVD*@e{51>yt=cfxb^Ih`(>i2V4(yG?`@^Y(=7=p_M;~^X zM4Nk2c@0u*imIXRZ=m2qhv1AYz<)ZVp}|%}1RG@__e`Yl7+JcxVX&oLOE<+F&>uN^ z9RCUURowu0gnHU#Az%F_g70NAz{ZP@7Rl>ls|@~NGS>ip*q=``oejGHDT9CeHY9&4 zz-t)$k$G#G9>nj_`iMpNz@!pq%QzYXwoy7}hmNL0MKa)NIupm8&(eh6sWzNxd}{ue zBf0+Ax}$fIh3z75)6=D#Or_t1l)S!GHS)J_%#%-4bKsr&bPCvW3_9Z@Ys+WzxN}&R z2d)iAD#F4rzVe~wjl~NL{CSfxpFfEe(G8^+lr!xu_p{5EY@TTOV)C3~a%Z$&JnMB> z;gP?NW{SLkcXS2Iu+Gu+X|CAG#9ko`f5|p>dQA{tcv~8yl+;>i zY>~zn5N)On?Z}1}VUbsdBd*qx%?Ga$F9e57O^dVxy5{T z3b=T`yEBxqj}3`OZ=3k9@+JHlIU~j{%V#+i*Phg~0X{wnnQj87x{&*)IX0G+Heq)4 z3-O0bI2+lP>4irgR!MAzX5KXkYhDfsHXJ_0*-#<=)Wkm6B_3)O_YcLU<{;iC#bLei zvWJ)1{lFHsrMA#Gl#5vF7N&QJ;sK6l9yaZ&>A9!nTqS&vEvoZAmXw2d>24lA1f^}( zSI;)xY^r~^rI$r#8=ksbqADc^*Z(|a%5aYH-UUg3E`#1jP$2H04B67#GX2qlXB&`~t&-obn!?@qFA^bZ zy+;T4`&z?7KjXS~?r*h*`L4#N^C*``kVj_9Qu$uCi2CfRu>7$d8vQ7Wnd!ZRieqcI z?%4er&cKlNnx{65hJL5on0@3c8&1Bkc8i`{Tr0e?qP}ed)lEaK_*J#$zPuyg)T_7Z zxs%}eWQo{>CZX(yMT1Yc$h!!8G&$ z7(W?9vqg>k>TJ*qZ+t0g;ty`oYivft?heTT)n-et#!IQ0Bm}FB9;2ZlPGqXmY=swI zHBqN)&7|*0=v9;cQmu$Cx-+C1Y^7{6CC$;CZRO%E4I*v@mBdEb=(cjr77M9cJj7kX za!b+=-q--oNm3uA$!XEzD<Rms#>7P?K8DRv8FA1GfWDKC)pwQ6!nLAK$#zT6xVytS4|OKTWh zdMlQhn+P>`3m7Y?ZA#|8T4sneV&cg3M-l$SjtQkVyO0AlOs-lut>>=1=sy_~heE4R z&qonm-3Ix>P8NWCBpISS@L5TQc>%=1y?S_#?lFzxV`0}u^b2wCrPTJ$u;07H7jF%7 z{Y+sA7N;c5wyCd^?D*lYlV}a8*Bk#Bcp=I&!VITg*6| z1&88?{~kj3C0U;DsD+LuA`HDb5g-B>7sv^(KijL;9<(JAWaCzBW$0eL`IAxB-R=ULt<-6`V|G;=qfGU zD=3EwBrGX4UN(`q6nGxGStb1SKxgRoL zVV+GVN0qfo)!?!fo$T*)u`{Dgv6lu^#D<_=PI!W0OOP@A6z6G&pes(0mSDL|lidA} zIC#KR!&TNmuI>>w@D5d)4f(5*`?>~xd>XYOW@p#sly^&?N1BebcXwEBE)yJ0fT><< zOH>Zx@%qhMmF3U@UGQCy1qX(eYU}z?EV*6rJdpy9rLZA$r34zKM-IuCU<{kso({vi z3A%ux8mMUkBcoI7u4Fn2sw&`xx?<~CZ#)t!&Cne=n`J6eK@U3Q+6N_l3Qvr+!m=;{ zt$UgXH6>EJ77r0sMGu3{!*-+W z9PSUf8Y)PDf>7Ipi4Ufe`Vv!}wPjJ9d>Y0D(~AVno|&e!W%WTs)LO*Dc&{CfFlnsO zWbnACO8#7k1?^8Kb4yGI9q?_c7#m{xP$}R=y=XsbqYn*g5U*=L`mDn!j~r5L)IoGo z+kVhm?^CInI21+$^Z`xekO3%Uh6SYyy$D5xhW5xX8IO&#v`C=?y4YAdDy4?{r^A5y zl$fZgxa2#XMIVk!mXdWPZB)=GQb?+$+$AXE7@VHYj7WqZb{JtBa)GY*a5|b%q47yT z4aj0Z&^ZC-h`k92T}inbksW=7N;uERtRfi+nm0vN95{9bxgfz{0BUGSpaN3+e+-!ob@$Y{AGHkL52K!Nv!y88Ye zZI!{NM4+_Be1$q;DAp+n213V_Y|#Twr9vU(Y!lMIK^UOzrY{v<8)vs}mTmR^<& zM+E407M2Gp?9jddZ5B&Mg`3d@Zq{<}ofnwOwF&)16=U~?pi#}9h!0VlITjJ!q6O!TFt8|$rs&!6 z^|snsdcCA98~zMzwwPkSb|g1QhEv1w?h3Fdu4oTYYFVB2NIb^1p>{p0yRWdMt)SAB z&r6IM_+8|@WH_S?kQ|;X%+F{sN9Sq49;~4X7W$Piz!Xgxm3PE#8S4Hh!&4hXqYkK| zvQ1}dpnTKQ_6&RNd3~4YAb=Lsi$w`ObI}zXjb@^5OMzsj6tyPjm>TG$LC{NWcy#o! zV$euaGB1!JN@fVz%tm5Y5Pmv%SZ!80tEh=a&QiHTN!e#g?8x(CvpLwPI1M)`j^Z+f z+0?2oVCN6yl@u-Q7 zXeW~^EW{GCU3TBflS?eeiz2=8?Nyw><^wc+XmUm7i;y)FRD6`{i*0T6qMb*+tT113sdpOq zEqh1|v=B{S6<=XWwg0W!8~--sD(D@u70&Bn!OIA%zPas!g-+|?7fbXJj_bMWl#kb< zfjsBVI+yjF+9jgG?rfpuZy<_^V=-qV6wIH@u8P&Hx>3G=@44NQ{ehY60<^5ZXT{r}RK}(Q zoh@q0T=-(GVn4M%(3J90LyxQT{yQxF-f4X$_0_U(0!OFu(f-IACt6MI!y(#b*H;Wo z)=U|h;9XRB?O#ybvyegO-Zd{Z+_>cUA;(t*nvlT4UBxdMmU~sFE$c`qbn%*ji&_P!+7H$^xZ$_YKLZ4pXD_gl`wSvqrK#-V(MiT{2O+ z(jRyPj2DZ?!g7f}TEkM-bB?@Z&%G-?E}dyD-rK49G#(Zud-1}n_+7=Obu`}U=9?$S z#A)f|;#P5LI-)<>#}QPK3+HY^+o!`JRb=?0O{gtzU6tjmpFnap;GLpT#h(qJ0CB?9 z=CqUDb>W-PHkJ8OLt;bFNeOqc{}oLh(H3ucV^cp9+b6vj@Jh37J%?3gcnTnc4aMDt zd4Hjb8m8ssa21j$pq=byEGH*bnFIFT5FYC=RZ0u}x}bk*B<}I%;)Qoh6XQ{;s(7?? z-ZS`eBK4==I|v*o_Bh$iTKE_AV7KL)D*Za}m+(!HE1urG;G~4H%m0;V=M8GF^5Drn z`Q|E3)scA1`BGkXhh@&f-{8}U4JV3+Hf~QBtt{>iTd)cFXE);Y|FHJvaZTK9|1UeT z84(d#qoPIY5)~~fOGK2^(iW+;s3>splFIgm$giNmQwaxeQz9I)>y-GPhHYxI2 zW$jbUrWbc3&6^XxRiujaH|3Yv-e=$^Dha?Ka4e;*iRRDH&Vm7CTT4-Cq_S(5b|fWe zSU+W`vRxHoIyF2L)IovwW?7=v5WEw7?z@Ayibi~w45$~P^##Mi1;49*jUm@Xs+D(Q z%n7H4g|>o*M01MBRJFAQIT=Z%eNud?js4kE=;38ZZ2`3>n$se|CZunv^&(w+I<)l; zU^3D@uTd`(spwPP^#IC9Jx??%BlU)yrZl`c(HskYyxRl|jgKyuaSEhG(!k}2K2llr zuWu1RdK4`9UC$Eff-(>*@@$jIIb)wSZLTiB4*Ll$+SPBG2}=HR4IUockd}J;GFdY}z=l0N z%KU|M^_sa|>~G!#+-^bMoHL%aGJliFbl3hCdBJYv(%mEM{zgXVK;VW4MF9L5_em7O zIlquI8Qmxsx)^Wmkous{jxY7V569so-8izz81_8RNHoS;7#%ka#7 zjJIT7SMx3z*i5i+i&Xq9dSyBwwa z8>@T`!RhKdTJjh;ldtyo3-sxn41N8_({KDpy(nw>n$_a*mq6~-OP<@Mta=R541mcvV!WzK zcF}+YbOJ#K2iO0kcZ<^NuUs;joQ+{Dm@$`+@E!Qz1}#P$OZA$a|N_uA40|yOD}jRh=aDjZ_#;Pp5)ZCSRl9FO+{>(L6vN zk_J46_V$|$=P&7XubcUj6=q?h-s7#=+f0RO&KBrE+5b@SRC&_X)#u|>hCopdX ztiZx+rX%~iit~8%gXzSSd+&pOyC!(F5`KBPD9d>Na#6w{0V+9*vI)H77nuu<0icNf z_1^nHPyB4>1Mwu;x(;JXv7>oir;+&e=277uz+qgDRj?@Md&ZKc@1RANfc!WYRh%&H zyR7hYr)cL7-hKnx(WN`?Y+f@da`4uU|C($zbo0kk=g+?cUFj!B#PN))a42*4U-3vx z>GJh@si5@B={ufx>YBb%34bhGc+j7_`gG~Ic)NJNH#=P=vmWp9=N>%mwhEhwGh7Ze zk1KQGkLS+k#-Da$VZ_vc6R2%?p_|;PhdJ4}RMqFo$*eG+AIG0a1VjL>=(;Q)W@bgW za6ILCLwKBbTjm=w1hJy^SKZzL^v1=q>*0l-@~*9j?`!|Zn(6lwPVZnHV7vqf4u?Zi zGfgYi9&fT;Un4Kfp6NPToe`io?3Zn_p=s_=5uro%3t9qwLaah2hB#_i5p?TN@8N_z z{`do5N1KGtUYMV`m_krV_}3HVhLBR2xLje;>ygc$R>yFjZ#93QpPV#u1Udnls54KC zf2|ma`SkJ4>Gu~8|7clkTWnpd*OFH(s;7gxF5Yvq?PmAED|Xcnz){wzU%e6AR^O{I zU$w5Df8XzZ*nP|Uf60mR87;awPw1)luWkG)#!XGAN4z4b1ik%ELfqneAS3Y=EG`juTE?Ypnb; zRayzU&Nr+_fxuS=)V-U#gw@v@o`uCK+66d$h1tHGo++53DU^}3z+UO4xJ|DxTj0p^ z;@J&`I+=ZXg?R#bYs!7qfMClZ9a(is$IhVE*THt?<-N#(qtw5)hgNRpOS>Y8V6+NN zyQ~k>+M{_W>-s3*Glpi6lSsvlZsqkbB>sLXRDDDzNXy}h<>0!XT)lY+mYa9?2=0{! zH*Qh+y-%R0TBI&kHOUvs79OM?4Ic@;2`*?KiSL~rA98?)2dp5nZ$#UCeTuh6wq~2q z`NHcL{nR)@-!FLPdz)}pZQB|N2c=f!=yz#v5rWA>V`4^EX z?Mah>ohx|QB#2)vNkRuvZ?vTFIyHG1$u;|8TUg4$GSOf)%>-V1IOdPLYU{zR4%!M7 z$d^$Mw79TsOdHQKnIAQglA~H4eE5je1A%@pQjl?1JA4*oEq|s!(c}x z&$is-kdEgbDVe?@ItKTMFh4vawjrWw;7P+j=EmElZdCofxwL(_anAiz>f2S-KVAfY z9b3)snOFZ@&TNf|c6r%u)1C?K$J;aFJxJZ=P)b)Gbl@)JvJH9MYTk1SqzTZvmUd^| z5*9i62FIb=y?0Ersp*^^AN&%ipAP8E6+r)nHlXt#x4WkX0ReV$tf|xg@e}|10Yq9x zT9zr@lxh02111~o)9o|CQqIat&&$l)X0F}B4=Y;1_wQjkhIob8Y3iqwOJ5e*N3S4{ zgU0ZTm(g}$m%45AVIA>hUYIqIpg8HCAJdK8Uv|BL+Kej>-(`-(D6C?Y2d5Dp86H{1 z_dDQAjm3Yavgao2NOlG>XB+G|$S%N>wo(~a6)$Kp2n(a85Dq{Zk$@_;@Y$xCRz-jm zD59mAR67dfLk}LXkqo%r2(SlZ0?#6hdeS;F($H)yxJI74_Q0j2&@8T!d^eWqV$o8hE&==|RL+ef9nwPBV^%daVyjFAq6HmM)jEOCltpxTvR zkzKi2w)kF|;?9j|`>#2JrWm_8{T%;yff<3F9mw3q+W^7aU>6!p9A2R~uKPQ)%$rQv zSIrsjc)&EELVBuY-JHZErsFihHr470;#tG))*h9*uvwPXGuqfs+eX%V>CR>FH`dLu zpI?+ZM+Q&Veu0UduUlQ;J80hYSDQ(?{9RId(sn-3oZr(CE#O_>OxsK!Oag?OR})4H zWCi=Xs88-Su-3f{vJL|8d1G8=Tt=Kf+op9Fp~8K9DdBAPz{DuBZ%C)QnHazIj{ z&J%pp{Q}08rl{iqRKFGS;eF8jS_$ohH+6z#NrUD?<28!TQ~~2+_sK@aG-Ma%KE@xy zj$$rxO4BFWxO?3JmE}lyb#ggUYgBhGXVUhW4a#W*J%gSle7PKo-d_!sg+t@bIoH%9 z3|Gp%P48v&R&n-sDUu)44;5-F0bt0b%d%>#qRFf&xAz%JUd(Fu_BHH~F@F>3qvxt_ z_R#B_1a&!32wra=U=d&wU=e?7)s=)_*`R%MI%B*lR%jVSsn;~ zGsk8==;_APH7SBmOpjj(Mo8QjDMi`fa|RJL4cc?S^T0+HB77RopjBIGPoQ6*PXYYv zVUuqC(K}Qt$_DTR)e_&K=y@#Dy3QuhVKzM|EGtUQXVX)yRW7cutM(E43Hn<;^1R7( zYuP&>H(%a?eAgJ4)tTP8d=nIWAPs=QMt|rC zlqM<*L#3C+bS;Tmq8Vs7Do3ZG<%Mlb=MbM!f7u5+_N|5X7&3w~=@JVG;KI$zluj|6Tbe2@ zt`T^0mkq@AB!WSF0#KO`i^ECU1S$e!-JqsunBhdUubHO}dXAS@=AvQ`~6`AxUq7hS-NJnLGp-jq(av|*{egp#u|LjPGP3X`-Cl_O zV)TA{wlO**I!nRrpl&xRG89=1Zj93ZxkovBj9_EQwq=jpf!eDt8^({gyhLmeE5r`b z{L;;?;dvNC83O{B5dhvosm2#6JR4Iz8i0ZzT{fy;ru8TrRbHx4_Wf8fqVXD=bTFAz zqjck~L%+g*4-zk>#$Z8Q4lQD*y)eNv833 zO_=vm;IeU}TQxu^BLw z<`aYAVs#Saji)jfXY&CBZw#WuHX(qb)Y5L18g<|UKQ8P z%cVv9E@AXqb%k_vB(TopL)iB69VqcuY6k{)Kd0;aOS;h&w#W#f#FFz z3Glq88lcLU1LUx3lqmzoztRltFjE&v9Y(dcoBn31yk*|<5?P5nP8KKcmAJq90Il(oyQZ*pzHF8X&Kb0VIf@qFxcMwPnwMa1D1x-%Z$qr1-Rp3 z9L974o`cz)VEdEaFToz_EJ(F$!6Ko1qp4xMN>TOoioQR$GA^3b{_!7@ZR<^J=ei=# z#t}EC)OYFcIRFeN*T^(yn3mdXbQM~M&Om>)zBqEhJ~h5YNJ}Nty8{5w zaT|Nw=A{>v@VK^hlXM;tM6V^EIVS^58M-99B;O_5b(1{Q_zd*EzZ<9GeVYx<#AEG% z_TD8C`aN9i*J!wES-pFOX}weGQ2J=q_;-WTp-{ZtKFA`-Cdeviyoy|s(ft9q@Y?G2 zqKhLh90!vMbd?!U+#h3^hq^Bhf_I#s75e<%@ebjFygQ$FEs4?8zVkE-KF2ivFy!=` z8@1N`jE^ySMqc;b+7XYpYu|kydZco7n@4ITK&fn785+9p0Je|<(1 zQGMbRy?J`Ohf)1G)wplfXpnYe>aTvw)4;>retzbH)rE-{94~lXc$7#sBK*l$DzeJ_ zQtb`^X2pTs2PV56W#%oLqum#&52|WHILdVX*9Yc{OlQ4Q{oIbm*If7qup%sTk^3q#|jV3ZT>$JRna*_Qft5V0)&zi^g(w z&n{{p(wsD<3;r2=^E8v2_lwA*rv%hZz`~5|Yqbwb=l{b|6Pc47tIs!)OY*vF63z3r zA&##*5}6?Ic@-ezU;DiVhy|7i5x?8H7yt{D)hC9|aJi8Rawo2a}-<|2TZkD%&Q1b;7PUMw;&g9a#DJPM1A1g*{` zT9CkJ!qyOtl&exUCuyad5{~ehUOF%$ED-k)na!<vkjYz#tOA_qIi@y|BlCFLATjx8t93#w{L>E3pS0_FFq>tJ>io+e9^n`9>W2e2d< zfHTGDs$!MX$B0@BjON!Mx_Oosy@)g&ev}9`)Q}gNj1AsHlr5-1n-a;WMuxWzwvz7E z3Lfmf(>)m3hb%A(crR2Y&AgW&&@D8YJE|Jhps@=aM5GX=l`|I&P%l;dVVlutx#HAy z3dA|I7>z~Sfdbz|wIx!BXQ{Z+-r@{7`K4X(xi#%@lu`mdp$_<4)6|Gfl)gvqx4MIcWzl{H*`?HHl8gf-<%6$ubT>e zfset3ngzdQ@HZV;ejxRL-5)`sOX|+^TZNt%KvCW!{HsQ3eXdODlV9w1!D;ZX{r$w7 z41WB9uqd^HIQO3Qfs=LX4wX~xF-FR&HJ*%MSk8BtpF>E z&yIK4?78`2v%c#0#;fJhfphQKE>Zf5PYA$g$r?-_%pBa9O10;8TMTl>RlD9_c;Dgv z?E9Ygm)*C$KlA>Nm&|)zstYcSG)+zoj#7$4wd2n@9P;b(8spbq&=SL2M9AW!2Y>|1Pclma;tWm;xE3Ig3)WM7mi*nSk) z_uMYZkY8yr>LfoY0|?)_z`9k>WY6St<_;-9keeHdT%FfdwB!bumNX6b$LjMbhqjT~ zcwiKwWL9cP+)4xAInoVhk|54um5(W3t$JRUf_@PwsI95Qex)tI1HWn}2`h7~3f@)? zM^M(}hYW9je~Q80m>Q+*VMnQ9YAXylgu4B=?jR*#SkOES*}I3ToJJjsQrG)Fu5>dT z+qj%vRjv*vtIstcVX67kc z?tz5UNI*aaXC|r+vZdNDD_y|o5|Zw2alvtnld|i%d%KnG+Sgsads}|=TEDj?<3ZIo zS@&A1TXG)sz5n4BCdgm_XCuf@uE1vIEd_VJ9Q@P>R&R@S6KL7RT zTq^bN#WNkMxBvWocKqzG)~sZd{5GS!IBMPZjn67(uTi--|1d+lea{!)%z6gLhkUiB zMsR%W@SS6ae>!$}>Db|Gz~P5~1&1$t0S@21=ZlG{@4;cA(crMMAaEFyJpZ-IFm|KW z*p2eB8+UBMIV%|#!2LbO?tk*P*-s8Kr8^5(Pu{A!X*(tLJML%PW8CrFuR&|||4z=> z#&zY!a2Ik9aviu&@)Q0roR9yscN@G|@|@E3b;h=hJ$~HSlWWYd0|YtWQ{2Q3Vj9c= zJC3cvo?x@FE7%^aAM>)N2yM*n+{stxI zkD%ym1!d=5Pn#H)HlFt%jb-bcSrmS;RuT4+}t}YlN9h7s!sBODw}j0N%p`Wz?`w z;2KRqA9)Cf=jVI?e#G{O;J#0Cg3t3YDv@mMk0)D3l><~K2tN|;-8EiV!jEO=u zR3_y@+5ZEsaPIc$w(6eP?bz+rZP)!-ujh^j=ey^FQynU?miSBDB!Lnq$sCEdBv@iE z2>>*&APG&vkkBPeo&|3zpn5F;T(4QYDZHhCqdkK+iMN=@c}(9>4v&Lo1Nq{^XMlbp zmJP}WYuP!VV)N~`Ank~+@HnipM=e8gV0(y8S`raB3oGgo%9uGp*^nLOL)wBtzp{Sa>uh>;aAA9H5QzCGCl5z$%7&D4BOH$YpCvnbJwtzq5)Z-y%PgPGweQUUGVJc5-HNZgNI)PI6Xqo<1MgZ7VQt`2T}B z@tk>cc|N=lo)vF8Zz69I?~A%xQ(y%+Ini0sd5UyJwjxuJ3kvESMV2Cu0VatsG8wsy z3`Pzki;*Wz7iWtz#kt}PagI1koX1J$WOFh(|0keDHa(M`3z|zg^sIWnsT2PfH{JmVyHss&;0eM=^xM{-UzWx$bAh|5=0V{WP$OU*U6F8!eq$!uNX7T^v zwEPds6gT4EoGEt=W^iV+Lf!$dG@0}z(zyOO4Wsukt~o$liU79E`hO+qTm-h6O0D; zRH0QpX=qxH2{rZDqxL;{)5|ms-+#&c_p(k4|6H}P=hbw-cxFNo_a*3tIVfxuE(&Xf zlLA~yVSuq(j7b^{U%wPs%Q(p_$rQ;_iH&52WRhetfGp3I_((zkXn8t7E&mTo0vspk z3Lv3DpAw7lek>48s8M7JU6}TQ`Gh1t&r~!5tdx-+o5danj}t5;CgPU>Yw8(VTq{mz zJHU>DB@#Qr3%`pEqV2Vu^!99I9PA(nBqjq0(-?s1BW+9lZw%A_$(TOv?J>`Z2Jbo3 z8v4L%;dbRyv=X)giO ziPLU>?wNDqmrHl*cg`@Fq5cNII-YpQPyXhlubdK33@=j?ibCG-!?<6j0mxD3w7-wBM1TJPD`E)a- z$7xqE9+6M2G7B~A$J7a-T+s_RAz<|U8>&vxgrpEwqz4%!aHRs=yQyLfdcxW)oYKxH z3~0_7jOyLfUt?nARMfuc^8_Q36+eLIy^1~83T@$^dEbS2j{uSRTFQ&)IMQP-c2lf2 zzs8S_$qh%?Mao*B7Q-^}&l~EyE(p_>BKlta8JG@PjL|meb@eE%XNTq>&Ly^iA-FNT zm7hxB|6sU)KlmbW~8Cc-Sz|^go9tK=zOaGn@XX2pyBf z(oxn%WFb-eEiRzOF&m80D7{aJ3Y(DxT=^!tmyNP}D=q`4qx<`yan2(Ieet5k7}&fL znmg|gYAI<$&Iof8<|uZP%kXt?gpZWJfg$NYNvQKcoiwZQz~|IlFxNhlaft+aLW4Vg zcu$Wm&5!+r>)zM;9JXUWBL*>#$3Sg=8p(%0Cue??S$_XPFpY{YN7!`>jNJFdP&j>*WwcuXA)wf{hv`GCA2{m3vfd=t(KJ3;rSrjaq5xcow( z%7;!tna~LcFg}EJunew??qT<^`;cD&!y}Fe93Zpj2rG?#AX@w3k7RVwovv!_j-~_#;V`hgmIk`M zO&+8Epkrd<5WZhRpxMPfB5&X1kW_7v9;>ot41MK=BqUVLi^9jZa$z>KYGni}s0gMEAmWeB{iYJPP$|i)zvorwE$Xmz` zI%hnonfU}G0I=o^yHG3>)(Y!md#_@xxEF7pv``19i=%T*m6l+c=fiabqfdMqa{p(U z_lzmhj~P2N)H7fws1y+D0Lg~@M5pf^)9;T#z5r?nz***h#0>!ps%Of^z&5nAgxQ{0 zY5?~0WKbPc^B?B(UyJ(*Hu5)! zBnDtWXM4ykb(9>8H|TYR*(WdMC=^S}P<`5(kOBm`gdO3ghFF)mDze!*3BSQ}@zyuD zdtWuzm;!^#vIt;8&xIh2garwF%j^|V=0OdQE09>|0FA4;Mj_78On-B-_hEC*$QB?k zmX59Nf@1lzUVz`?+DfL!JBUxkt^tAb)A$13N8?#-{(z>6rvWaN%)7S$d&G4!jsa^B zpZ{3c5?}M(`ry+*SzZ&|x8*Y8uFg%aPx}>Ur^~qFJDA~xw>rY?jY(V7dB|fUFdZP7 z5(Mh(dn-@F?(}RVm-ZVx4IjeS65|Ju<1~M!4}6js$D1JlCIjTt>`nI}eIM=gKauZ- zG!MJ^23XA#<|*d)fNSLUFkme-J(d*_&2YX<@I z!LoaSBaAGr@diITbT4)s`3rj+^OEf(*){1c@M|K>&}9b*4(7YHova?h7b^sOhV0}= zRp=Jc4Ir;ioAfpf1q?SXM?w==cYCNkauoI68Zzc5*nysooT8no(TyPpXf>Q#;N5_~;ZnTC29ZmFH8sHx!_xJ;%!{@~NS${w@0cX-%b*;LnhOovj&w370fm1br-d7HO zd|1DFn;?WdFzGE_P6s#&8{YOwZvnqSGaGN2^#{{MSg4TEYw7jE{2GI>E}{1}_6qkQ zW)pjO|C%%!L=yu1f-Sz1=SqG#sSTRUKE;q1_ddh^21pA>;?G$;DYHm?s>TS`RLlm* zMf#cJ2#B4(EC4vD2|0!W93UAW2WXiiq6VOX$ZY~Q=`u$pXm3x>`3Dl^?>MNgOJ3ch z6oMcM?)Nc@K16DeNB@QU@g=&z^NisidPrY60$3s-L0GkooF$m+sHp#d%U~9c{rSvC zOu)~mz!Lxm!iRYr$^bwNv#V;=mzYBvvCA}IO_sM2S6%@-@}zf;9q@>!HxSp&#SEF zMNj_~q2&kv{fl6C$e90LGC7{w#~t0k4LgjsucbDH1eldIhx^)lQZ5TUU_TIBD+HDj zFhh;;rFl9xM)Hw=x0C#ayJr|gR_-!M2*^mMIEgu9NU2Y`>m^?CzG7gCz)&`Ehc?`2 zg7DfR&iilT$XfsxDacV&?&cmIsFcM$sxgTHyT;Io?$;dS0{`88hFsoL`XpIi)!T)= zZ&7D_aNbuCdpLu~matE$DZqLA;Jr1#bpv?8RN^zpG3<7z87Xk7v?}vieuQ1#ur#W z?o2Fv3o_44;w=6pZ*rKoFpHVPEKpp6Q*hp}6PEMFqep=%dV$Zzn>XNQzNhp8;Ycha zQg}0^j_kjTAE6;mH!<@AKSV}&Ydm)JjEww~o;4$%@B$6<@Fe^@p10H&$pB{cAHlzS z1FnW7Ik2yjK7lS}P8Ng(r_*NuHvW9GZw;-Fg#i$thK7mon^O=JY)9UAuzJ?dL{w7A6Eh$&ZfjVy(!zq%1_^W4q6se{j z!9DO<3Xt%adBTb@8+t=MVtfyBv`GN#0COkNMs9Ld8t#1<3|yg^qG~}N5E5GU(Tr*W z`!@FW7{!lnfBzv70GCSIdzba~kZ=EOL}k3N5GaI4PLer&&&c-JO#(X_2A&O6>fc#0 z)|i1Q4FEs>JtMEUehxauO!}M4C9k6E`$2ItW=lKCP2Bww02VRoFyk9<)a6M~jrUn# zM*vdu*A>KyvqtLP?ZwHeyac)tp@#8Xmc*^w6A(fkR`vWtI_maTXCX49sn?7F_l19j zTfBum>G}Wot{tQtp8yz<5t?8uxUWZFybV9_7Iva%6xFE<^AzoASX#e2j3BwVAk|`w zazsuw7s%;gt~{Lud=|i{kh63F=)ZwSxnpFyqKCC+{{PdA3i7}Rj}K_gvFgQ*hOmJt zorfHxKNx|(!vAeZABlCC#|8xOXU2RK9)&+^fo!2431C7}TgU}D!Ktn63s!Lgq$i0% z{GZS-^?;n95>416(-XRk_NZ1!muA6H4?w)>1_+A+;A;hpL(reSPmK#ne#uyxPneeO;W|d=fix2J)O?Ar*A{y! zGT8+Q4{!Ip()i#Y1>iQUx=(>T@(=a$5Sl@P>z)G+SCNOzX%RF{vcT}s2VF1%>J~tY z9GT7|fB2XJw1Bwy>sVPVag6`b_)mVXOX|7%1eC?!0|yjbCb+A0QV!Y z?ViX1j6)J6_rrjc#kH6C>w+3l+_GnO_ zwI&XW(}V+b%2wXELD&~$jTy)qGccTC5b>}xco+U}-*b5tZrHV$+&Z1dJS7L3xD7nO zCxVu`3dj^2=!daTH~lsB5tjAA1HA#p(*xjrYpFH7PYeJvv+6$cFjnyxIH6tSKTZgr zPMlxG4J&)-adxakgm>YGc(&x`>4c$n1b@2fJ_JIYw(_4M5!2yz1Drbc3~C~|$PkOg zy7i3kL5y>a7XnYz^1+VSeiZHPlGekZXY%vW`|H==dDz|%k(_lTZ|c-8m*y_;QSj^M zpC^CX)pafXNY;_rUAp&teV4veGeTol>}Xh6f9mdNnDX^ckA4zY`Ij_8zu2BS?!J@d za4e~8r-!WcE8pdZ-z(xV_z&4RFTXx*?r1k6`0wg#Vnes#DVXL;=e3%e+66o-B%uy+ zxY=j(itS3d7!@Wk+!TYynZC&{o%&enTphde9UeZqUR7l$9h5duxngtGaXe1?zMTmK z=0q}YNWTR`B1ls{ln$f_Qr2S%j19d=&BmZJY9`LiGW+OYi!dkNZGKnrGU@1!`R`It zAx#Pf@J!im3Ll-$)+a3_iqoOl+Id;jA-1Wirk%W|y-Oky?-IjD>9W}JvQ`<;5zTvd z^fD*3H)tvq3GU)H%!%a3o#tE>n>!|N&m&{+S9i4whOnb>awg<~C!0E`P_*-;aWtF~ z)X^;j6AZLzfGNP508Jw6d7)5!h7h}pK$#Q+7p~%0qzmm30;BN)##7uv61}s>9ILm{%SXgm-i;g;7_nk()Y3ZRag6xn1j>Vp)Ym(E`?n_M>R-z z8@!+By;=ZkiMekH$Jj@WbAY*Qyq2d0Ty)X}oL!%=T%Y8rUAW?|c8d08AA zZNVxs2BQxRj_^*2&6KC1-e?ps8`{Yt7U>`zP54D@3VPD6uVnMOgijhxb8s+59JwMb zE8Zik5S1aPId<>PH?r&2nOBGY&3HQ-IvA}h#=eEtL@U>U>3pGovF!}cYG5B68a~2) z8o{=WR>rz=XTA|TOHNcMvVJcsgZEw*FW0tNKwqiEfA@#A*|B}2mFqo@fw?^u#v9&K z!8~@3O?5#=P&f~WF;9#CtWbN5oe<5nwVWi?p1yvfBXzm(7|JQa$Ctflv1s}w`0^~V z)4<@s9;zzk0lh1><6MCtM1Mh0<9&)#`IYvc{$kv%eV|p7zQk#u!xW$2C^c136s`uqimjA`iJ@XT zm@7hts68!I&_J-Y^tMcqlIqux)=}hCHrh9Rc+2pS_~LTCqc%Q=S`w`oIjX9%sCkboA_PzQ}T=Y2h|I2uI21wD?RGl4G(p9=^7rNSxDnM zTx67sm7%WMPsVl%>r2JvHI5x4jO3$>r6nTs;QPx` zzrsiQRXhf3L>I}U*XdVF1(;f$SZ(c7imYHMgB~{-TzEo?UgJfIVv8 z8@sGS+}c=aM<#6(AHKsJ^bKWugR5rJuL>J>+!iShI`vjAf57bYDXl-ILM*A$M)+A1 zITT6w)u~rY`DkYmZY`rN-$YGA^L&TuT`}L)#6nf@cp_V5(gtAg1ZW}{v0V0Ie0PN$ zTo6z2<#!7s$dN(;GtClT%~BUf$ruroJ4>Nn&(bTsdc{D+CK|cluM)gIbcac$Q};yr zzkSi-{-2Mh&8xJ`caIR5dq z&~|KQMz>lfoOEo_%O^2xM^$wHUgkQW(D*I4)GqZ!Ces&x5fN?o($iH4gcjd>awo?s zlzQ21pu>1|QE#t$_I@Dcc?Ny~rCc?CrYj?PerQU0039PP!|7K|>l#~0_m#YDsyUg) z69CPFdn6yFe__Em&bzd=IG0?6&KVpC`!Rxuz8=PY76I9+#QFFa*GDTC4abI)zh4%6 z5m&1^)Lu7|rb{RHCPi?3W0f1*TTNHXuIeNBs7rc~P4_tN4%MDaW66UKc=z=N@iJ`k z^)mR}W!QcAZe%s^3vI22d)8wcYo|i2y5yC-gqK@3m$GBAl8ec=ubS@Ij(&&jkKlL4Amd~85ZL7%uJ~7-Iy^M3JQ?`C2*fhhba;Yce1>|# zF#X_Nge6aQHWvDmHd-?nxE^atYi>2^f4Hhw?|DOc8x$AG+mE4!)|3k@(y1}ol_=iI zj+D;HhX)2siX}MP9&u4sIq)kdP_%)n0wQ?=)ZUtcfLB(n9+1%Qcc}Aj(8H-6u`n~u z$}}6NY!RqY@2m^WqnzGA$MM*F$b|~JK00#ksyR(Lpf6T$DOK3F=v@h+jPle$;i2qu zeaT4$h4UL~)SP=2%1+H<;Yq|kln7I0F)he(`9-RJ0c-eM&Q8_w-aYUysSkurGPLCB-xqCQtAKzZLbzT|mfy7(Qfv3i z72>t?!2dR7>T=$n3lWowfY;+&C;HHh`&UvruKA<`s#nh1U4{g=>=yGdkd_AHG~6&V*zX%)I2 z`$VKUU+^g5!`-en8E<(OP?pDzi42FQ48?w(rTno;xe@H>E$&PtLn4*u+h;*xBEnEG z?6Ke}yD_mk=TzIem$M*ObalbNoZVXUgZoV>#S6UH&6m5siPZh@+0U>u@yx4Bcqme@ z3=kQgdbh5VC-PQ{G(VmyYkwMvBwwBK_tm{xzUb!|b8A5xyY{m5=g7gUyS`=b7a0d+ z@b#vY_Q0RT(k348M~ff81t{_|QTjjidSfbSBo~@m)5~cGa4OL#D!md-pM}u%_M`Cqo!RXcE7=CqzexVoA zo(LH|TicP#QcIb=S8MP%e5=TiH>In%JkqqpnXK($f>U`0qwl&yHbv?R7CxXey{|!k zG>t54m_>0#x~~>=2#-f9mpoA!j1LououX8MZP>$E)VCu2!^I+F1z<*SB2B?yg!gW* zA;nw~al2qxkrC=K8X__(y@!-mFP#cTlh4GM0h@un{Riku6FE0<6LLsI%sDlhb}7aT zdsmAo3+Yo8FV?$M?Ikj{d9_wHsL1OCQqWfUFwq>B!LgS5;^SWi zgAs4VF`-oj4GBd}#!;_p93lAT{a3OqQJNKLpm~-mwuuPVskY>nS=1Pxq3v)@qLf+C zjX<8Q&_sN;NGJU4XNn^-D5m@cu#wA9Wx+6e!BfZ;2PC=-_QDSJ)yNTc;Lp^97^!!p z>7d)_JdueiiXl5A4ezH6DYuAB0>x$06xm0g@)y;ZNU~&fYiRqO?ur}KlAqN~kvVPm z9jOw7wk@WjLNGl^p;J{S4Iw&zuF1$G- zU4`|{Fw}68Fw8B51W`=&q!oNyIeVPZ(VAf;ne}e_<%*@)#B*iE-^-%H*?ZnFtf^b) z%8*0gQwa9&rqsozZy94Sls(17+xrEvw(%~S)_J8swYnq*nuoRLN|&Qz06%DtFzd?2 z8JEmSiF+t7IlOQ<$P&m_UpO0o_Gdd`ckgH=!1*P$eDHl@-`>tz*cvN5HwvG((OQ)cS;+FlP@m-vUkqU(3s$of{niRm*A;?8UN%Gl-ya z^*L|`WSj_vZ9kAzVxDd;kF{*n^twj?Wv zs3@h*ktZ%!y7VHOmJ5?*NL&X+!@wSAf#B8=sj!E#CD?MxMVCv;=&zw?ZQRbbQ~(pX zHlo?rs`L-D2+6!=^zZ0Ue130~3G&maVV`2a-fIiDB|$qn9?);@t44NocEC&TjWVuZ zGat7P4tr+IuS0TjL@y4^r!x8 zfS-3Y%&`PDx+DJkO7@aCb=JVW_t7p``<=VcT^ZZkFlZrmlK5dpnYZj;iGv~DuR4%N z7-##SAZT^$+G@N}sg)^JZMK63Le zearr8&VyGS)O$>ASyge(tj-~-%V8RBS_v`ZOs|kOv$qAA(HJ;RlNCcvh*K_{q^aG< z7y1cCy{rsqF}6?!*@aCe`qGQQTzAxMe`);;Zy_aTzIvpD&~^Jt72n3`cXyzPMRj#K_=OU9K$CD+u&00uZ74bD(o zNxgAD)rU5fS`ep%Eb#D_!{dm&{h>@&I^9+PhKKr74(OPicdcSgoRD2{ky@+;WqM`x2ivr26^wx zrKWq`_OyMW5G_XSA7?U6NfoA3SFV{xK!t8i1*)Jz9s>n!PVs4KNiQ;$io>d{Nzg2m zQB7?m--`4k*!#?;zr-?l8e4^B8s@&dCo=UdeL%l1GW9Hbst#Tbr;Bu~1K+Y&VJs_X zC${?F5lA#0T8y(;{DnSU$WO8z%O0?AX4G5y0g4Vw2x)w;0R`A6t9a8{rn6HtYkaOz z!RQ)Sp|j!p;11!W$HIx^6`!uW7TJrXsq~7YTK>XPkv=&UPq1J|s-C@333eVk!n~EP zPJ6l0cZl^FMx`5XMMRIsmDy&INV&uVKNJD^sh$lcQXffqTKDWNz@z(1$7$Vd&gJ`iYUISwJ^1 zVdCqquF?rB59rY`6~V;Jqyr8PV?SuSQj%vruSAOeFUHn!2>8DABs0q6Vu-3?aiJf<=hdDs5GwQj4wCXhpFInM6>qE&)MN5Hc*9 z$YLghkV!I``5kPZ=kt93`(2mE1Kb0InKS3U=gxV*PT9+zE5Bd+{o4Ee+xLD{KI`qH zr@0^D=r5a(Ig>ry6(jGh%$mP)Sm@%j^AB%v+!v{AT%$Ajs>y22B)FS-*V$i>4d)&l8}6|JmN2KJ`rE!0 z51LGIJ&9y;Z9+JSWXWvFQ2xXYUVkzgV)>aKGmtRVT;{GTi&SL@Q_KsQcQMqDNPcO|?!G7}1yHfp&swSfp zx;$qaK5#C~0+GekET(D`(xqC4eLK6hN#yZB5Gjw`%zoS?a%YIs>Cd`?UCcYGnf7VZ z`2PF~sh0LS&vD?`aR!r-Ux{+b>XoWF1jl%b4*pX61y{nniLw29hB}m+!@5G4gP@uF zM^Ge>No$pCt1HZcQg`!0=~rRTuLyim-+}I;LDXsB=eop00#RaWGrF+oee6b}DUvkT zYNI*I)%F^;0)_78Zj~oWlw$7rkRym!W78IQSJM!&r~T#P*WNnw_;>{WpcKS6;UgN^ zjSZ&2x9_MS<^xB~n>4TztH)-o~@PcmZ%Zdi~&n8R8QER$_pET%a zw>B81AeTQ%fM!^+A7evb_N)l@;VOpCPUGr{c!C%A7^Vhg?)9M>zgq^myQ4f{Vz|`?tA7l;c3)f-2u_<3Di7}`QtNN81TJ`57H5{ecK=>OzS}SS8Jb zU0mq)>I|J;e=1R1|CRLB(sKtwYU$|%DIjOBEYS~&jkI(t-3jX;%}#`Up-5SW@&yR8 zG%U-=b={p6P{F+`6Nv`STX2soW6$-vDw6;`Y`mrN6rMwK*Rn@;EOm-rELxe?D&BEj zJiNfRz`4M&z`dZe$C$G3LQSMdci{u$p+A`#8OiDBIkem*9NM*4MK})pARA;ujwtli zHKaFWHe@tp1*ZpR2Aj;Jb+}+VSKX7UVZ)68pc1oy3yNV_0i9PLE_&3Yp9wqz_ir1K z>%~;$`TqbvqSeSR#Y*MMg0~^Qx(DesnKcAejycat9x&Z-Gk+W1!)@0bihrju zt#t$@#9ZtamW&w+2DKqWWCKe8jSF~ll13(dK++_+Bz>OrNz$%Z%Sk7}2cc)I*63CT zmpcQsPjEs!DBH95pHtf%6ZR(;{dw1HjT|1UOjuE^%;x{Ku~MR!N3iBI=d&A#@O0~jLt8^vh(XvL}H+-;h#HdIP}Um|t7 zHvF3HHRo$@y7gtZuUNPYLsPOrbXna^y@)268!Op9I7H=NUQH>4rF zW5ja#a>Wz*6UFomY3MG167}zKuXG=Pgq_in6?&&x@^8Yvvyi><0`2nN>HYg|;b3~3 zm&x#La)h7?6<^W6XnJmXm&3Q-X!|#7#ah_FInY#{_h5)^#13LR@xf%#gY(plYlDgY zWX;`X)cIOb&e6J{@zmB>OQ@rHjizA)Qhr4rY;St{DZI6F^MuO3THxZu zTbkDLC4KOZGJ7g?W1n`0=I+L{h~9mMGy~+S3sC)M@ubtQSVJ}4LjO$bX55otCf}lK zHqk-E{1+COfv*j!VFtc7XdE@r03W-(2<_>%9vn`oH@2!=*J>y9-|gDPp0UL`H5VBz zbQcDgTGK^dJ*s==GDQkN#_r~(cnFy~<{|`sLwF|j^0`HS^ooiZmTe8j_d{3em{?=y z=mC%+V`W$hW}Fd0-xbIrm}J}*{i?^x~k0)+OR7&%QuIoN!%FW zVe{?gPnbV){_K8n$4+Eu*)xA3xn+^~-8)mhV?p0LVNC|Ifn)JjHdrP`^m?Ux-D7*c z;J8@;W`J$Qx@v>6ODv~G4gyB$1lL!y(~}+0QDQ7bd@zZp;3JJ{v-NQuY8=o%@~FGX z7ogjg%3g(4vTs(g8U2rr^8eZ-@jJ_)4&4w%XiVXKT-!$O2%T$&YgXPk)y2BJjJ&Lv z^q9<;LuS#}z5<^=xMKth8o7Z2M~>wyPXW*jC}l+5Qa!D5J<^=hUk2_!|8b9eix~?q zXcI5^6V`1S>M#s&herP$FlGPe3wc9FUR3xKl{>B@Lmvq+<7I`(K_vG5gCRnFA7`k_ zoc7PI<_r&aoIiQ~S3e>W)rGSQAEWAze`p{RnEc;!gd$QLX?!$WAlg$bz*Gv_n(5kV zZ^0JzVwO30>z?a@KelcfzSZY(#wVEza9ZKdk9Bz~?{(b2>7X5LF0}v4p(o>}XBe81 z@D;AklE3nZplw?=(TlWMR(tJwg?e(`-Axwx&EOyH(KPo0CR1Qntn*p|{5H20b}L*~ zY(Ic}AIaG~Kz+8eRJP_i$9=_?0h45mU}3SLBqz=3Wr9P(Y(mRE_MW@FScitJ*Lp;C zZnI68+f46{>P!e}miR|m_h;_U*zfm*5eobP%jenw7LK z$vJ6R(#J_Vi>=eQ9FYCJgq6^UhTXBdbFrRUlNtX?Bl>!lnUuO%c46I7olP^Fl|NsX zI$qmTDq9$({tdQHuQIOj4j{-JU(~i2mVAe;N-PTF%JcJIv{dh)mgm1{dVCq#Uu-H( zZyWjA<+bl?r`Ka%4}aaZLlkg6WzNsspkj#YqxxTy~>nXR8pOwRkby1noKKUWdJ49Q~ zi|2N;pK1i1`7+iQGk>N(eaV^a%bU&rZYBL&U5U>VUU@xalp!_wu?Lbp0}*Go%%L_E z>(ub=L(HHN6~jOjJa02Pu(;euGNczbRBxDiYx`Q2( z8RBD5?QTT!>Wzh0qpW2LQ7E)y58@ZrA8K$r($~t)*yT zegyB@*h=v=U&9b(Z~*p04|$oV7x$=+h-!9FK(7jJMlE&Bu^Z{}1JOeOl&B`e#p(m? z?z8L7@xE5da;n~xx~GxOuP0SYkc3jo7^OXf9E+fbvP&-;cn8WTJ^jrAs}z$ns7<%0 zT~*#Ll?*@7^z2aow2i80awc{iOTut$ST3{vnds9$2gs$cE4Ff4U&5Md@%Ei`ailoI zuw{L@>c;t+DA7Ln`i2-)VaMi50&~cfj1Wvn`geAWv7CJU%re>W1;?3QQ@1*Fw=-us4e< zDsW}OJK>ue0q|24+4Ah^t>}c)GS;YDrR@6{*WYw1J$~c{mkquf{^x1N^wpB^Qx{@0 zkgsAatK9|3G3uMJsK?f0&1=!&1Lc?iGsBjX#$C?N@ViGRX!56>tKm*Nr+RRDu*8`> zlL;)!EWln3q1(1t|0Pgng{FtD7X<#hlHb*?M=x1g-AyTFrD*sFY0#a*OO_@8BP4N? z*h&8`Aa5;jXg%_dxkPY7RPA#vmqLRUIl#}M;~f=kxBAJ7GL%yecZbKOFf7%p7U zX)4Y9@j${_`malR(#{+cW3-I!Kjbdj^3IgzY7OY91S|rTVP)Xa)%0PKT}8oU*zHPY zuUmcwH@xwgqv$l*A zeW3wzhhm=`us*xfkUWp@jH^}-Z2L{hM80V}Q~kme^Bn8{TFW!FJzt z006EUF$nRgfF<0XR`i?OPhDePEDWMED(LN zSh~B%^qZaKcWhT}N%>XlZyChgJ?GH%w`Hv7N74e4HvSQ-d?9+CV-;ggwRDii{Q^9A zdJ^9Mz^bZwM+85&G)uk%HbNjaPrl$6le;MkL# z4fp(B>^&BktMU@Cx>_Js31B39yk>^kgpCNReF5*Mr{!L?j@{K`3fSJ0Hv9DpOQJ(Z z{?JO!NqoZ~6lX^a4+{)ayfB^H(PMe^fiQUkp1PX_RLOYi0HI8e@G?)UmH_CMRKw1( zes?$zC^fs!NwR@cI6;$lgBtlqS>p@q#v_K)Rfr>hG9Nf?{QRrdb*^av1BN=po@Ybv z?XjYs=8y30_?S3L*=X}T{2)F&4n^7^Y`a_B(>z|#_U8CFbux3nnv2L^SR;1ykO6>} z%1v_Zjvx zTxT$5Xf@OtxnT5WE)Zr0zw%E*rQOh{CJRYU`tR;g(#E9lq%;OXrwnM_I_M%|`_?RY>vy(a#F>uVO3Dw(?T3q4e7U?f$F4{%et=)9(b_3BO~1r?}X- z5&|_^U7S~J)pTQ8I#=aRwO%knT~YW2qaAFNWFXvVy_R7Cp5S<#y%n$Y0m{ki{Yf_u z`5kHRl_j>^)yja>{GWgO_q0$SrTp5^^PZF~P_mm>i2qvH@awV$^|J4$j66!F;=0dD z?;2l*#$NoaLS>6O0*JtuNXGrJ5QP$C&cv1zd~|G5E7uNn6FHKf5R36hEJq=RU2wLO z$R9-b%kb4$iT$-g`ls|BYPY<2q*`rv%`({*nKx1!V}H%E4SS@BO_w@w9c8{kcVa!B z3{@f_={yIOgUmEZH^UF`62jwEL@(NX|&V2w=pVMd^S#D_Hst1haJ-`!a+ENn2EPz6XnsFVmqdL zgp+U@bnMY#Uh<$!j-A9U!cq7MF$aH#100a)8;ed%rrdE3qi$4Lk z$h8b;__r9(ku#kT2XZA|BWFUv2e}L{kxQJQ-|0GBEtfD5TXHF0DCasMj^tN(lbp*y z?89aeXRu}RlTPHr&nkjk@4P>mRbs<&E^-N*%lE}gv3K%@tOOh7up;NMVE!2V5A2ov zW|rDU>0IO*7Qzq2D{PVZBef>D1|;Svcg^&+W4XmUR7~N|!aK0ZcGRbn+G3nG7%$mf zt4WDrY%p$4I|lX#*jca&uuQOvVDQ&f{t5OS*zaIJgTWtHc?9fNu+w0-!3w~xffa$tz%sxt zfSmxladK_<^00N?%i+X530o&1FZ>1PY&v{pI(+3S_^aUefZqeY4}2f^0Pq3e&w)P& zek1se;9J4Bf)58D4!#n6CHOS(Y2dBkt>Ep!+k?*npLMQ!6|>{vDkfYX=3B7$U~nri z-+{e(_>2}ur~Vn3Uu_x7IW4l@fQ!5jOb6x+b`)$G*h8?7!F~hVS@efyR?d9M`-ji0 zZg7#m0GkH3n{zsz+8?&AT+;J!l|&7ueYlE?foZ_Hz*g>%2U@O38fb9hf1d9iY z;GAxg^%}RnqtYQL&x0KYyAIbR8qQ2KoS_=d;)kicr|!$@ZR7H z!54y$1s@B(349ay5bz=3%fOd`PXV6-o(H#)3W5}c+X!iby90v6nih1UkquFbzc6MhW)NgkY)V5@W~at{mT7oB3M7Vlg!n?D-=9sB>EX4+gT=JNgU+gP8xB`d{7JFLyQBAD-uU&C7Ece9K(S|2=T zg05{URt^(G5O$-6QB%Q_C#yUv*aQ@dV_9-WmWM6VCBjWOpBRRpz>4M3Sz>2?FR}Y^ z4g4*g@|rA;jbvDavv4-?Lwb+((Qmd**8ffwF8qPj`yxWIa*2IJ2xiv*C!$o%FB;sSd0ZWhrkHnts zA+jYW5R-vC5-XQxa_!OKB75>9Vmd%ZQsml9)RCG;gktakgNh&+7&8-bpk@(4m?RU* zgclIr7&jAf1SDJtrpiPZR5;;*u`_805YMqNG?R9sLJ1~@WWwHc2*JkaOxhcN*;%$_ zFC%8;FP2of){)~NViHyi3Wmqxm#a;Y@OrB-aXQ{s(1loo@5CAu3F%4)$!PqgK4;6n@#QTHB!svl=Bn_{U^#K^WTS*W#JBip zY^owQL+Zq}myHpA2rJA_@jnqYnBHU9A1zNty@cMxUOXI2RTv#Nh*7P_o%bH;Ob51u zXe>F5Scz}JY80Gwi38hFOJgP(ryy+rC^}*@NX(e+^7n24y4TRB*F7T zSW8NvHSYLKgJ#<)_-~71FuY74xVGREc6Dg9{)S@0=!|RCgEb;#QvRKTLw5a zozUujAPof6Y>^E+m-*d2bB=D}${*R^F{{L#Lyhi#o6?K=(;y|Kr@Hje`E(XgKD@IH zvDnn&nWzi*UqvH`(S)6^VyWFd%ZayB9`h7sQSG`tRb`U2b0_yy+N*rB4ga)6XAq#8 zCTfTvP;rA?noxtr-j#ebrI!sF-ywxBx4rnOY&P}7t-yRSNUA^R>ga_oJxCTO_g<$Y zm-F2{a;xz3QG=52I8`N`!T3)^SpxUr?j9|!U8npeJk&+Z8%{-z8l*iXdCDqv^kyp{ zOh8XP26HXGPE8Q*8}$Ozb@xFqn}5$@3=ysy^%kj-f`CyQongbTa7n?_W6w zH0V7W15i-$L(lW5c1z73{?#eHNT`Sr?}vJ!uF@=3zA8(V*OY&+^R9=~JKJQ@F)rei zaD)^T?@s)xDPbsZ4OY(QdR6Qk^@4YVJu2JumY+A}G2jI<+24J@mlWgFAvYw7eM zJ2Krx$xW$<1}Z>@6p#b0uG)N~!U9Tk5g!rSM2tY}nTOG%Xf~RUW}$f=4~A$HIixc9 z;G16k>{D-k>Iq$Sp=rgobE?ONbHv839xSEPh#5PQbrucR17)8|76mtXU>>VbfF+rM z_0i?mxg7tMA54y~SkPvNj71!fQM{vN9mM)h@re&`ppm=};%s&nJCB{iR+21?_3NKS zlAn5R^Y5;Cp%y<*POXUiq{npfulKnr7m);VGP#W$U7-D{!qs$*A41Np2sHrW;2~OI zyqDUUc3A}~Ph$-Ov)6^-ivh+0l$_si3Sl6HoqosAXsb~-zKbnqf3Yns;>iZ&Fml#K zD&^puceD?+AYv44M~`GaAggqqza`O89o!Q`(1#jq%TGKIeA2$OlO&z<3q46V+XPgD zH3a$N5l#@>Ub2kl>9n1Kcdb$NHjtZLV%d`!7g zQz<_~VLRISNXN$6x*=){f+IS5RXg>EJoeXnJ&B`bKbsTrTkyI!NyZr5QHByKIkpFr@T$m zrr@Rpx(zFTR9^2b3Ubl=M4xI6rX;QU4xiJNq6dWy$k!mudJC<{un~{aC5yO znPlto@H}12#p@zZa#h8Y_-QUZ+#}oqK*m4_NlR87ou=H7vf?l`lKOUn5aBx_b3Nl# z8}Sd9u^W&blYk`jOsWJ5ao z@x+G=^Vm3xa;83})=daQC7qEEkqqRaunKP{0ODaq??u-mb0VCWdE#Q4PbT&cZ4_~; zKaeRJ|4l0++nb_;b-Z`LhYXK!l`N+h5FSTylFU_JqK0@*$US7mR$0l`s{nR-$hzm< zfH=!W(L)+)wEa;nUBIfL<@7HUz#ER@`sZu{?V_t<>yXK^Pdp<{f57<wt6`G2HF@a7|HI4jxR1)wtuhdX3mqax(k{%UbUiV)ALwUYHJyOa!o2XK z#4lU<^cN3GCRM5FH9}wg5Iq3mNe8pkPsj%V1xV0xmCLtV$!%{1fe{ju=pM4YGTm@* z>m4KyzYqMLLMycJ7^2z{tf+1XBuJ$;gdi0Yyh^nC~?Y^v@nIPUAt#9Hb7rdc#F z1!SJ8Ppyy_`ad9qgbdj~!Gxvi(jKEs_9AMWC>H>2!%W4*to|CE7x8Z#ec!HPZ+rdt zRd~ME;{kp^#`do9;*aFCFTjV;Tq&Pa$n?<3N!@X1flNpo8elV_?kU~-vutHaCXqda zxclcm$0rb%_$v$0u_7PSBOL&{0HX0Z`H7jE&pqkFW^?lje-V9LF~{%-YdXQoE1bv; zlrEA@5QUrkfZ=ck{~-0Z@*eOMS2{rMPh1@Wdg)t_G)+J|5Sp5`zq0=y_kZh-otr_v z8YT3SEtoD8?N*e1uR6l3Nx?#O8;77tGH+Fmwgzx$4foUyz}qrSBgbeLhHCQdb?E~qc+^zV|Q zbK8&Fg%#6G-|`RjkH%poLAV3PqudicDg^w`vT2lMQfcB=(uTGIu>nrOewE3ajJm6y>i(T} z9~g)3FG56uq@R75S&(f>bzpx^{XdiLgEO2#)3axh;!8QE17Ry7GJ+ba)Uhtg#SuY8 zdDLIJuy^g&wBe!|27QOAR+1y(&?Mp5_-~9&39pd3c6wjRv82orIUDk@!j7f7Zw62| z^sI1Sg+mSED4J}7Wc`qv1-IBgWT^pkI4efxA73PNtoTO27hS92jYB4iygo3s6uj+J z9R7RPmGk&DVgECJPiH@N<}Q z<`*8u|E%VQ$Zdu*9Zzc6heK-OFprWPwHD})W>}-HL?OydH9APvx_OO=3-U7=Ox)~} z00@mM|B$RTsv)Fib?8bIqKx`LaBOpg2-_lS!r$|Oz-Qpre4xBFYV(W}RsU~zb!st~ z^mWGhvj0x{Lyr|i$z$U`>$VBuLXqgGM=_lw{8T^~+CL+w_7~&zk3)v${i>SPbRy~3 z51G2_A0ibb>4_t6*+6&tNdI3dYbDj<@!$^cI({AcZE!_9^1zB2~DM6lkq z8!WJNt3lo9bLRh9yJ=_^#RR(J=lwwJ=mK`oLupmhNmV+pI;8!KZaVR`86Ynw|KSAP z{S6jvX9C;Uz;)|_Oa;U`_7~K!4?w{AB0Kg^f$^#mykUTyl|b5M_Zk{HF4W*37H5-+ z?(N55QO4gJ#t9=y0Ys1K!%R<-fO0kITyZ=8;_jh!SPmqJe-iX%c*gy~^j*h&{1N`> zH?BXBfit+vtRE(NJn=W~NLF^?1CY!>ii#i3635D?KB!XHK$7a>Rr9`~J|t)WrTt%m z&gb)y=heI|vh{#V3*hfDtB$Ic%7%+VOfbhkY`U+l>S>4ds4c1B6GnT34yJfu>BBQX zN4w!U;8H1g45(?cL*_qiqKV>v;D5vxq7$m1PV)WUrv6XZ1krZXH({?;xA}ksYP0dPGbmuJFCPfemy5an}ZVu(<>B)bEi1ZMN}&rMk*k26Oydt=L1(=-^>lc*sxM z>15x06oIYI%1#}j$NDjLXo-LUGP!1e<*I)jWB&WP}ki0MyhiEfBxwlYje zZ#c%fK(8VThh70PaVU07r#q43Lr>U&MJibOceLxZT$0@_mB&7)vaZXPZinrv^>5>H zq$RYIaH0W%sIwjAz0TxaqUQ-i4KUsP#PgN`zf61oKjg9zqOt5u<{P4*y#~-tXXTvl z+1Zj`ho(C3kG3NSr_svEpCv)AU1*-3w&Wo0l^ZIY$Ee};0O&=jaBJX$xddB=eQyk~8gc&Gj z{(_`c*ct%*R~s_K^we!{M27KJK+E|L>@OWacPk+6SOF?Gj-J%!1Zl??0U9HvY*z-| zQ*z;1@}qlt)fiskFp0KLH=JK{vxm0-bE|_Ic4N*u9zXk4L$>ycU&{FR@2m6gM85XQ z&6!l4JtFH)=)RPo_ffC&@7%q6mkhl{i{`2??E1KTh2(w1x7x>{k9Kd^^0=w5emN$o zK0WJ1X78uhz2qy#?y4E~XXlaT8=1ZQ3kM&M3yr|FOZx6CJ~*dZJUq;am=)Ql&Fo!U z=M~yG-1*PW!_6yzozur(d^=k>Z#To#`eo?)<9&)jg@-NMu0Ps={rx3to||Y?qu*#^ zdhy_%VrwN7HnrACUM?OCFE+pT%QwoW&=*!x6N||jxx@z9RZ1nuB_IrS#aQ`+onL7< z)#EI;>P_gZzY#yP7a>iuoLgC`&3{X8DwQxJk&8~RBpChbvWyj_N9L}lK_IztcPSln ztiRCrNtqi(k9~gk^$rpmeQ)$Jd$DWdx0On+#p3f zMmzasVg7@=AbA~4H643jl}xD8>E*=+^${en*!p*3X_4@{-tUd~%yOn<{)4Go*YGwM z8z`HK+6A*J(b^m^_w5Kqp9ahkc$qlp65T1ZvKJWpb;kegnQh|XqxpmD9nmhiqeWr$h^N{ zBia4f)4StIKcBvYEyemBBh6kxwR?B1;RYA$e)c=pB#r94m5#&|o7ek1*Pp3BR61`x z;)m_Y?{Bf?c~oT8r)h>&oLpIX4uq>St|K9TYj@3|new|nm8!e;THA_}dXZsvxdicj zLvQ;*)uIVAkG+aYSBluhW{W)&I-O@k8Mhp-PaC`YfGG0V1Lm$D*pGM6IaPt1=TM&& zo1=WLBBd)Uw`>y6{hMytA=?*a32ECwe>C=auqSmA>gRUPp+;e=^V?Jn=^RFcJ@G}c zL1`BOV(tY|>R=$nfR;O|hr8(q6uR8k)1>|HOO#p6f}B^a!u#<0+H*i{pK5Nmcx^ZK zSLt(JAwwJLZE}l^Hjl89xar6%t99sq`}4f>%r<&v>WFT?V`QY9=^`A9x7UT-^I)?# z4}OM6XRw<+RFavgZupJs^pWu4hWuz5P<|385GOIV4*{<+gA+-;yNn!RQim4(2t1p0 zvO(Uwjwib0`2A_;jDWO>?5kZoXvZc+&Nscy?Z%WJE1_q%W?iP>^aRyxu0`+B9aq2y zyu+vDS0X~s{jstcuuqH0TeawL!&PGyS8}h{T|`(;&P<(1hK#4SYg+AuQ~P;(1G$$$ zv53$SLy!m4LT#(;y*>~d!rOFcqbd8^lo7h&CP9S9#5T{D(P@3^SzKe!{C>$IiWas? zPs%wNh_Cr+Ix>db4;{|Jx+}3ndd5W=08H%BOkwN=qi=5yj@ptRb*Pr4l_}89oP{7GG6x3rb#*}HO! zj61FuPZYUziG40w#!mfInb14p9OAFZa}5pbxX++NiJ)}Z;qlGrrV{!%njL^9Rv9}yvsmv`(pD^cl_Q`twPZ!k$ z90}>yF0M>nsf^IHh=q*f+VfY8J>#oG-ROzADWiy4xcII>B7s(|u%S+W+_>MDO4!hv zbF(hx>2vB_H0gSsm5Df;X51|o$8LajdIUF1)>E5eZ{AzJP!)HXzI{clE&v04&3=Oc zDp(nHmb&Na;^@oT8&~wHcGPN3s#BWs1noFbdEgc;-O#5@tVXg3o+lm9fu`J&Fpq1C zujs9Z%@GsZykjl8(SsqlJ#S{_zDKKHJH59_34h*msF|s1Fh|P8Hgs;0h#KKc*5cw! z{>t!HEre8RxpJ0Vd{lTN?A#C`#E)U9$(Hf48i=UIGd2g8XkxnF9s2ATxeSwx;?Kq& zhM(iPU>~1gohnhYZk1R+?|diw)v@R)^ulHo0UPZe`(%mrv0IpHf5KAhD@+mq58CBS zRn^mX?+!i5CjRnd0U1QltQFRsWSU*a#V^);+_jT-Nfj_jm<_xsi(=;8DezvJw{d{{ z0Yt{+s>@|_pllCW$FamdZ4mtsO}f+>C-z$p^G9!vT|)j{^nU;7mtS1~)mW_YK+)W= zaMs)t=$QT{C$ykMf34?T+Ls>YZeUeOKp({dyor4^FPF?u4>{8I(e*QeX7LatZBSY? zcr&}iy7MS`H7s0<9ugq82TR#|!umLIn#3GIOKLec;C$Ice8puncpxQ%Qf*FIYDLD0 zLO2MsK7b6wwa$0FyJ;_iTc>JiuxjipSh%QY@Gj~-_|vC%!fi|p!9wX`IRmt8<1eRN zF46nFeJ4CpEc2{mkJLrmGTo`M*p~3tLi7R;uuw%$Qveorn4a|Vq(U-;30tC^^Rgj4 zP4-g;8GM3wxVULH4;q3jX}m(+5u4f5_CRgu}&RHt_`paxK&0U<4wV=>v1;-W$A$r5Rq zBs`qO-GnSnQypiIfRuAuYP^}RLKhHe=Xw&^Vbyw_1sy?BEW3{APsz`&PqZu)PpM^& zHWix|N;I;;5GQhrxtx9DJbPa6{Og_2>iwn86ST(8!aih4?c`~*iPc= zrAuc2Z7xUN2>W=4s--qob|%EwXod8!`I9W}{U*~IN7T0?mJwgoWKOh`zUeVt%@=eN z3(<1f(~>~4XCkGnqg@B)Eh3LxMmPVFgLn_n|2OyCCUyXQ@dz)Q=CP> zzHN(6AGj4M8u7gJm`8#?^0i(%8BFhqwm(oN8D&Ql;-LVlOaefW%uJtF%A z>UDmXUs=peuD)Vh@ey$g%Ix>xJ!_lka$K6jH%#xVQDU^6$R2ag2w7syKOuGQPIRg8 z!QbZ6Q+vmpju78=Kuz;7)3?YH8njG4P>>dp6Tb>kQvt*>zXBs z%RImWtQSx@3S@qFfGzb|jJ9Ou>A@|fm#ltSf(Q2~KXM-?&Iz{_1g$TZo=oQ)p+3Hh z{C-I)Zh$)b19(C@+snLtJiYtn{%L*M4KeBv4@!Rmu^pK1Agg_*uN+H^tmb}4KAP5A zgQT+(azMQL_Z*Q;KmC+9m4FF!IE7wMSu0@n zermltf)~>L%087vSmY`X+Wxx7y$A=(bs%wMn#FeP?e9bZWd|gjbecI(R9ea{nby~| zQxj@$nby0%E~V|6{*W!@y_suA&n9Be8$ao;bfS`R-r8pAnOfx0Gf`_48JdeUJxi-( zkg`iwVLIV4y^_a-QhdX#f$$p#L>y1;PnRqve~NWpJsFR!qoE%pnqeJdZW}5bwxkQ# zOSC~aJBxNS%hoSc@p8QhrY6g>^VLG6+oWw->831YGRNQTgsAIR^M}LIgJ`^lJB< zi(b)K=xR{kPHsDtuD)fccmuW2rgpCUMcT*1!n1+haWB`Hb=9)Yfxogb&W*pXarM0y z)TvLYRo7!$nx(U`!duCrH*i@0Wz?>l_B0KJ`R(`I$=E4{G?V;FA$1ZZYoxY!Kk8kN zHAPViFH2|O0(dEDeoFfG(;jakB)xTnz&ArRmRf#Z`Z2z}uI2R$^&9R9Y4%m?PUniz z9o8e{)f1>Y6i1asl7qD>TYhw$GCC;E_*Za$%8leev_()drW;9!ti#L zs~MW;Ag|2iOFuFKGv2zzwvLdZSM>p#dMG!*jb27(;^XBx6I3&+nZv1Jaq8e_FO&&U z7i9IA_(rm53lx&8a1goba@n@#pyqPU$uG5AvDN9ErR2`K;DA9l&6%Bv$o5yw%2#sr z%VzYiTDFJbNpyu{-OUk$6Etzh$QTSAWh#7CE}?CJ*ujo{*{nR3i@F&8I8rpXwhY9L zugs$D5aPLIo~Dpj&FB+(*&_PuIOBdlybq%j6On`Gi_Xc1uyPvJmL75tu(>@wYLO;% zQzGhN$95pEUo}4QjMLsMu1j?@Fr!H?IUQ*Yf)_rtR2=k)W2-{*2=$lBLmD*QJOhgO zXDn82i{mn{jT>4kMv^_bh&>f@!Fc+r^{zWva8=ztgVerSD6!O8Y)s5%v&aNcnwD|| zik@yI2P%)#3rLtWkDB8bs}gaQTm)hVA%jYdGxpfy;@dK&b!(5wd`!sQ-DiyLqL1)1 z-nh4MhuWkUJlOC5T)nWFrCgaND>g6L^nun9Z4Cat*y7_OxHv9;&C7cKRC)t$8AbZdGzpaCo(J|4lkRICm< zRjgmurx89IhpexTQSYD|LYrwfd2pr#0FK*^oV#CdecG)NB}9_FwGw-sEE;yr_S-7m z!^FkJND@rY>UMkyM8~W?cNTXk*C_#p;qd#J1z; zH1g2`vtVsoz3D3(Y9cNffnF@OUhUdJe_}7~(1>D_4@iE`;073;CzT>|Gn&3F<=*m? z78F}AyNZVTIa9&Vm)9^CX3m25F%uhAFYEQK)%B*3rQuI7)$4kTI#$E8O`CoJg+I#b z&QFY1F-sSdw{um)`Ked{RB5$6tT%^-HY;b;8SfTb8b<5rqywT>|GtD2!kBab6=bSh zP1J!>8d=QcH8wGH=6fjc=^~Xjn0-KN$>PfiGs&F!0`BnSQnbpyPni^LOmQHi7dDGm zUQQ@2w#;?XJy^)67>NJCv6ND#mw%u7Q|#n%05z42qt_4|`-lKt!nn3C@PrIDNWdT4 zBG-!bKj#Sb0ewchXd`cY|MYK5k-UI&s*zpX?j3aD0{CGvf5N4Udz6HCk#}`*v&=6R zma}_~BbCM0W*gzefjyZZM2|b4GId~YR%HN*1f*GCX9x~1QO(e_!Sj4!EtSBtoo#v zdH)63Yq@@$C>}GVs~Pb&{KZ)Iadalm+;ENu(xc?$qWc^AIQzO-(6`(Z{o#srMqjt^ zZyT0th5x`QM!e#_9?erDu^)KJjd4DPuWaK%=A-%TeRtYgAbK`Bpkq3koZ@SqTcthS z`UBzBQtd8O2zpEiX)(}07dqG7cH>SI*VA|N_s{StT}z27?W;Xv(LS?PXAYYp8hQ6jAeBAJX((^wd5AE=yX* z73;=fsVA=J*Zc3HnfC9vN2*mr)6=3PSQB1@-(L*G%hX!jr941aHb4}XWXNUjLMaa)U5(N(hB<(J$fZ)LpqlD6kqnF3$>g!i0Ik;u&wgq0M%R|RX73YMIukjkau=OiKVbph?_ zvN{z!%o%fywxp*4$)tQpNAh`tC@qT$fR+ahuH`pL($&ms)HBRnmS(tqKj!GYAw<~B z^eT6}tr-5&F?ADjzQfz#NpFLH;3zpeh#cD-#~l4TDmy38)(}1L?vU8QQj1N=WsVli zY4i&4w;!CPxFHmXnl}Zu2n3>*LksD?%_>`cz2|G^*FMz7uqWu15=+CA1}ZtaA`mOW z;<2{NQjY;y(NhjvV-0Ur+193v>t$pxs*qs=7mA9so9l9_ki#XG1tSNG<;9!XPUe5r zpZKTvBz!9eKnSKUvZ2&^0P&wb79@0fX0-DIpmCSIDjMX0kWR2rtPe|zc$#Ci!Y4bH}5s*{~Bqynn~}%LH$WcBS}M1QH^`iV8Z{g5Ued>t>V6-B5?q& za;7)drDPe?jhV&_W9mXFD3%9Gk(}f7=9f%cc)YH`5dT5wS9?PBv8DtrLvWpP0=>Ve zji>gc?MPN8D}$8WrCJyleYOCq9Br4|ueRFqV$qO}?Uaa1QbC*NVwDlP%|NfOp?jWx4}No`@HXZ-}QZKeXeyn zH0R7@=48)4`^=pGZ!?dDRxK#+M7EDZ&R)?K<}pnJ#|7Hx*8GsgEY%;d9Xw@A?QSf) zpNc$PMx4UukgN3u2Ph3PD7SD811|H;OHcO>Z|-{lwBj^o>eW^&5_I%^9fdURNLYR0=O9McDqe^}A_8d0(LJe4fY<`kA66Fin^{oakAT5-go+ zSPJa-iH^D)?QLq@T4Y58zwm^N?&@yo?(FX1-tmHblMasA0PJ`TEiP1Z9R(v{YV%{7QP6A*S(#9!PaSqB;~kVY5B? zFsMT^zA=0ne_dnvcH_cgCZAL%B7XsLpLh}?ko6hYjvM~@Ynbv|Zg$=b_uKls*xDCl zb9U^L7rM(12LJks`NTlRK$cs&Tc%rvTh^I$P;E~|-!{ga7yeTG0VabLxzrCa#^hJ2 z)Vtdn-SsD5Q5~`%*(kB*ZiB@1D$>}ZV`g(5Yso{`H1s=n$n6^_zkXIm%81xmzdJ@M zki7C|$3;q)J_sn(Fs7hK4<$ctF=%dHllL6CCNW$&lnm$(6=xZ0BeWDc2+f5@Qx&ODkx|qot0C|15rH{I2*(VFtH} zseXzsk7~)ZWrbs?&kBYaH%ry7mSkktN0g0f`|`pOc2QPpw|^?DE@4O=%*99PMP}Ys z-lqR3N=?cv%7Bf2xuh(k7*G^pTJNACds)8h^MVh_JHsU56R+}}$=BC;KPZ;Er^WUr z!cpdj@!5ZRq>;U#(U)-x8p3!AOZRHZb~&S0p}q^hbir`h%%N?vZrS*H!6!rO3Wh5d zy?f%PCvY0Mql@iG{=JnwLLLKcsp=2ERPv8)#&0pfhh4}>o{4vRGWOI8|IzB#qo&=9 zv(vodw}&aUGaCP!K0m8Hz1=^R1i>?iRTI-Yo0`;3Hg8@xDJAzr=$!84grTa$A0bPfh}(I9;oInUUPUeSUxi7YEK#(37!CJ58X?7X zMsmPC^dOK4tFKF~I|~WNWvnqw3no1EZyZtP7Y697fU5LKH-C9r84&kfalR$roS&RX zGW_mIT|C|^r{nBg%2^TZk;cCd6bal4pMj4^@*VN=Qe~m`xDo`;I1A$c!t*S6>Zuq( z;x%bIRAhhM)5V}!>px4 z;E-hNWzDihvfHx6@=jXcmTKC<$~I{}Cb4L+Z!n{-Hs1QPP5Q1ep;AwtbxNK8K;jSt zoRsq60Qx(1mK`v`hnCk1z&-&+573%F+mzkqOl7zT{e%erGnMsIZtSCn%H54m?&+CZ z98(WmWt*n1j5b8sr0$4!j{h=RTMCpo*<{&i*nLxZr{GQ`+XHXSL4p*TNVd7cVaxjn zujUt%hW}wKonYH3=H1}UQ2-QAw09hk!-o$^O;f|74IMVAaq%wk(LlO)NKNi-t$nF2 zE#82-5C?$9;a(O&z(D zMN7qh9_Q>+9I!tpt!h+fK<`Z91&2WLy|3AmHd|~4N3C^LNz-E18d~KqyH_tLE|Hfq zhpcity&W8k-1adlw_4O@kYh{j%pERU+Rw?*Z`xMVvjbWM6u9{zBkkWMy%XsDv@1;{7(7%Hh z+*8Q4uW079FrL@>!bOR!FxOPiFgJhBcKaaZ_Hi8dl)yp0N!qlO@hLY;_^jWT@xN6Z zIBk{Y-@?yG-C4t%n6f0rF{Ql3cqUGvJ3})7j0%HCZ``>{5-H$sTrM%(u^(WB8Ryui zu{Rt}xgxsKg+6K|udU<_*mo3a4po@KGAB-^@ZTYb?tQw@smiXZz43t5JWWtyd~KZu z!aRJ+V1R}3Q+y0QlPC;kIWkR|HdGY!@RCHNVG@iz4n*4IZvKCV8!e4#Kg1ht-tjZ}8T>4EIy)2A=wwMJ`BNO| zrhr!{=(G_FWMQHw%S~TJY*P?vIh1d&+C%>zqffjHO`n0M?fUhPGrtc@7T$?<8+Lq^ zgIagQ^#|sfd)+3hYSKq$BDGmw>0YN(dDDUm0j2iqJ$__KSe9o;vtf=^cb!F@ zS)Em#Y28D;>U^Cw3_goA>My57X;};W4qsODCunB)Xb$}BK5%hl7&0qcatGOczHD(4 z^?WLS==X*gD}3Y)NAnri;fY}l38g=xSej3hF<5`@7vbTT?D*K z)#(t9={}o%Irz1b3eyV9iY(-y!b9XCKKFSL`dTFYvcYGpe#!&4@A`F~W@$5tyi=*XyzSNFFuDyDd5N=VXo2j8 zY(GXX)Xezx9_qBFL%Qns2FW)M_}lu8{?7VESR!WsfNzsFYP2nUyR_oV+E(t>3Q@Df z+O7+&ZzkvE3M~d0i|_ECe2uzSndz=BN{WpZ^MJf@S$(^uS-08RppiLT;&=_Mspt3% z&HJ596Mdy6o<{2evja3*#2Jt_PM{(F%X=D_?qV7CBkFtr9^g!tR z`FqLkC}o|`b(S5|nn@Fy2*(I5g!aO1{RBIQ=b&SURr`L8IB}melO2yzlg~>RYlt^l zJRqfwAY!I=ZjVBd17?OYS={dpwFwHw=jWtFzkg89d4*b`KxjaH?oi4SB%N$(HuRpn zY$U(yHx55+CV49fj!Y?|%OG>r?<5m*)6=g~E~!&2;>^F>w25!oaW^s6Ls5RwsGgg~ z(|=7jbASGvmsgWoBHk*aPjq*5?|iPGw&5N!Zr-_y&#)2e-QZ6}o?rtaxFV4RwA$`I z^5M;)s)xC0?(v($`BJc9AT~ETZMugXo_o#v#zkYe8TA_$v9n8Q3jc3OL~Ux5uHV2~ z{0Qp-QfeXw)Yu25R7pY|NA=c zKyQrrx$)8%YBeUXul`RH{^g>sB{#P2xqe{NX-?3qR%_q%w2*K^)0oulxUZ?NrEeAj z)YiF1?(^r*4L6;Mm|E1K@*|Za>!Rj|+li$AMt{z^F6qPP#y;C>x5|J@>q_rRmu_ut zXWet7a!;T78hwatv|dI(glCDe#39E4?_N6=@oS-P?IR0r-=<2(au%i7x6tjV{nzQV z;;;LNHQ7uX-4}OaMp{%sC;QeHEQd?l~{GlSs90)a$lYU(`Oa3fCgQ;T@p>-WVcZ zeY-oTeeOBsdrZ2ukN5y{K>fZ4(kzX(2H{^+x)=aRWPTljt85J|gk@%&IT&DNth{JQ z08(jYgqXU0(U4{}94D5~?V!}Z3=f#S`}YJmQvmOIcpiEOYz;OqTq$Y)r85ldIfojZ z0)`ua*={`W&2E%lOC7#wOtUq_{n7wS?9p^`ynaqNAh8vk>zy&-N_p}js`I&yGBJ8} zBR6lO{1U_zu|#eS1#&Bfc!sTgfn+vmr{ZN%V4ujm_hB;R>lu~%UY#yHj7X1J-rajm zn(?9S^oU2^gM=)j?H&lsyLpFf1Y+_a?PyAus7pLfG%k|;Nw3rE7F~fEb?NSKz~sTB zj)qCHUoSBx4!t_$Vx77fuM1(Sy7;0Na>nf>WPFBG*2%Apqqx8gEC6^NCZfcw#r>kbYsXBp=`ST{Znyn?Lm$)?18lkp|?;tKM9fm^T33`|YheY~5D2 z$>y;d=jCZRC)n`#FelbNb$^T``lBhoDhg%pkWu_=lDwOZPhPk22k#D-nY9RZ4OD%# zJniSb9sJpiS2C|mjZNx}Hs9>D*>1DjW@}AzPAn}oP2sRMB1Ca)ZN&EG7Z$2BHK=Rl z(n@$K!~ve=P|Mwh5Vsil#cS8J$pNn_!U#u9c_=kNEcB^7dQF+Ur6k!r*;;#DW32KX zf@e4~=G}&5c8vBGy}ysMhh_DuO`36tHAeq+j1~bTlH0d?sJz#y%sj8oF);?;@dN)L zk+iKh8tdS!RgFMo&GgRj&MJG=RtOln*KJf^V_f<_Ag`~DFhh8KPpaN)B<`E&=4DgB z^1{Z$u`eH!QhPg;f7i!Zc3-m)z;m4D`;S_5o9rlnvC14|$7E{`p|4wbdv9pS_HPH| zg?lNSGHE$29XrCl*^&QKvRjU-Cw3J#iow<|oL~KAbD(SXlx^W%x z&Da5%TI`a}uwYvVCvk1?b=dzw#qs^$;41$M^?+E7HORJz?q?>OD;+z{tGrVfSf?ya zWXRN-qqD_6WzVaS%mJPWz6=YNWr_3BX_j;=raN~<=0K0{LU9tymiQKHl5H2&Wfq## zX*>r!+d}foYV~28a>FXwNpV>^+m7r#urDqOu_bn6u!7bSaU>34E+V!CVgricXc5~I zaUhZ~Uy;-Tu_N|k$s(yGLL<^JnuujVjUl#U5h9i)Wltnv3=wKU*%Es&jtI4+9058+ zA0N1V_A})3_zvpd)PY}Q8>4oU2QvrALJQU$O2>zDK}D1mWexgtRHk}HT`YDa0xy*aLI@>lh_wq2F^*jYauzlTKx|8a+kSejc@{ZHYxkCK-mGYIzw*FFp2$C ztkDlYw~+j_TD{z+97X@X04jdAXl+IRfP?;bY5=}NmLwj?U^~Xr30ti2`JWKy{By-~ z#f;S#b#mC{f4OcEVnNvuaTr^KSW*r|GR6{77O)hNgCQbGI%QX!IiO6mDMwiH>6IT| zWbuLYfal0u;T0X*;(ri-&`E*bDf6-L|H0po75xw7k0?B|$c*6-YgIKjWhpi&a~93X zj5ZV4$68j+PFalg%NC3FWVV_K9Ad4Bg`-VVMxixo#WllMVE?kh|9|%r=l_*5#isGb5@YeLn3pU} zT$n+(W|{KF6ILToD>26cwIOz5F(Qs7>OlN}1&EXus2#Bn8$n>8G=hg&i|7`}7-B0H zCZby+_QZb7Ta*y6vj4!@X_~4pPNXu+J_|ylev1{&TE|dKxXkXKaM|ViBh7ZuWF<7Y zFhjnM@fJQyKGGcSx3YiwxoMhpu-opk&#Lobw-(q`@Vcr_f?x!sXV4Bh3tGH2~im4J{quyK~_{ zUMCYS`~GmG`3!uv2KL?wpC!P-bE1Chd_HR(=kE!9>MM7melskAiWsOk2Nj*O)+uEZ zE+;1*X%1Kl$Mav=e-8GY4^5(>$r)(U0ZqClT-HL9gV3ZJs+myDhH8G)Z@izOiFDRF z`q$sj*JONgLO-SKv$X3`zcC-cXV615INLlpQ!hBn6Hq;~>@(xH(Bw8Wc?3=1f(oHY z9W-f$6L*4UhoRXg(BvjGc?j1H9mj_wML@H%k!ElbKG5tGG@A>}?n1M=-p&09aAF7G zGcJ6V5%rs}aTYL!CR}DfmlVN~!=ZWyRDTcE&?Q3X687H{E(@S~;fG=cXB{^u1r4_)r0-5CC6)4jRvg#udC}0RkEtD5fo-l`bR>}iV)_odR7TVb`Bxb-LVAVqFX<-IQP~Tx^%&V#P3v zolrF?MP<<{shD{}cJIHCM>ger&ieV{B(`VOau|T47Qml2Ro}x`te*~lI#*3jNx~+} z7K`^}v|0(wd9I^Onxd>$Yt*dDG$jNJl^qkGN%ytnSarHrS*C{h5;6P#M&+TCxr^{g*bUhT28nIXH04gi zKfxZ$qC^5qzAe*%>yIaWWah1ouSO3300G8mY-3X{Zzn8T;l*5z?5M~ki($&P720!` z;@@F)~gTYEI6_56YCV{FdCBNzv|FuWlcq)g=A;<(KW&vb0~FLPn#?`ZZeb+NC?$MvOj^&+mb*W$CSwQpmX}~M4svrZqt|Wys_#gUwNxpig zTgAin6P&_iKc6plx`A@Ei5*vEr@7zVQ4hNQMkJ!jMKed{e3@+{$d49Zxk-MTk~Fv& zJKYO8<0biaJKS2u1M5)FSXNji%K^*nb?Z8&nvoJ!<=W}a$r#0|sFvWu4GP2d5^92- zgaSP;<;q%NWMgbqEk2I$C6eE=j?jto6?^{|kzyg&ocV8f_*hP}O^DLv?j}<#5ECq3SV0VI%@3NJ=kg}l4FLqj3 zO4?5!<-5%wkFR~w6IID8m+32i9Eh9EoHwyp3R-7PT=y-IHOJ;ic9MW+xP;8(d5lQw zK+_yx%?~#oz`0yg;aGMy;}K{!YdDWMThl7KD^8#uXchs87QEwQ8v7fVzLJil6Ipl& zDA2i+kZht9-+q-V?sVaZKEDLLgZmHCW%O=(7rm}V{sgqSy{$cNm;{rkj^V#=!1Xs= zrOQb>BAl2*3~Z=Gq%!G`(jy>^?U8m#dswmnjIKI|mxChwzAC6!+wB|LrRN-34x}B+ z5xR~vS6U#=0KI9>N1l!}PfE{`6oC%DG(L^iMGNavQ{#xHnP;g51Y8ucikL<0CR~Y) z#8Tn_tRh(X5gbFjocRWA#aaPpWWhdyW}vP)Nv z2g>kLOjl{k_Q)|_6SsB`V6+R@DZoQq_>>wIj|x4dAmoA5fNP9QApz0?Y$ZE#<%GBB z1N2CZ204Z}<;d0Zgm3|HrD0o<|Gd`uTwkHJ)GepAmB~dWyhUngE4uWwZdO@uLBbW8l1r z!yj=Dkt`3%DyB;@&;uYzS5>nlPhMvyvs5il*{YwD>GJSs*Tc(fvr+U>6lxzkk&#za znA6I(teU2du9;I;V-$Q;Y<_|Kb5lKr8|p_vUaPm%g!7qjT&LeeA-P0+=0{HMh#Gue zpTN1(ebZ|~Br5iz`2PT6F|(!DWm~>j7z6E>%E(Sl9)?5g-`p0Ar##_kg-UN^#a@ zOmA?3D_i7wG0!uc78I7cf#pzGmS^OO2 zJUV)uam2-IM8OVP<4AN-Y%UilT>vNmN>{Vs5ZG(am)IXEi{AH=gQsxN@c@Y)rU*3ap5 zP!?#<^I(k8b*Au#;wgQ%@p-KpbmiyCW!$mMN%R^bM76ayug9w%Y<4wGEB}sgACz~? z7f>^~i*#UE_3T51Q&|(~VZ1=zI2~}2p4Un^Mcq#I?A(ZN$S0~*z1}@hBSPv`yxGiS z1UP%$DSR$5o4Z6Kcq9-D9tvs&b)3&=TEvlALPMw9gLK73g~rXA^2y+T;e<8?94a(1eF@3`-+(a z?*o^}grQ(LsQ4$+^Zw(`1`j*G);qLI7hCWzwp;@OKnQh~K<@RU3Ay2gb@~c81_LayECd(29L#B9FHz4_QWr5MIP~!ik9D1_@0m zd&*tZlO^F@Dc&a}t zTiGX=6dULni%iFUOaWjNU@6!i4dj;4Hf3ei_*hpMLLLHkq^C>QBHGh^2Wx8f3W!^bXnVtLyz;&v9DOx~W0D~rl zQRS;K$N)d{kyb~~ru~ji#lgEX&+5If6Do{k*|E;(fnBtY3goT_Ohf)7NnxI(0tS#% z$VXfF_wb>z!FS**h`|(GzsQFFInS22GBA)oM|HWktm}o!75|(&k@qDKC|=_)d*ODR zj(Cisixt>fqJDu^srAfMtc$AW2?97&aPEI7gdQ`DM801;3^uW(GqjsZCzDNU+ zN(5<21OuIiR#$6)BBm7!^8R~+$r~uoiipIdhW38&` z__`LY6*)s!fmNuIG4Sx%4i&~N>QTOs+H!XUzM;Ovza0ct+)#xhq@9H5>tU^231pO~ z)GT4K9>On$a>TvcNb@;j^lOr#64XObl7$@Q>@c=t?|ac&v<#(V9?jG^=_(^w)8Ij@ zx)-<-kEv|>6l5eK&ZfrGl!Xuz_ZG@fz}AJSw&VL-lFcZ_RnDEKNeD;&F{l$Ha1kFvI5MNg_&zt;TWYR6 zJPHlOgonYwcNtX>kBs{EOxi_sD~qt?5-C<+B@^dED=6L57t`)gv_0Ahoj(hFpQZb6q|6l3G|k%@RX z9svinCR;#*fcFyWj<8PX0#0u1amN2zkwRUqiH<@XgujrjUGz_Iq7eCM44+Q#;eQGg z&(yaN^M;aORmQzFzEKeFT52HLtwA55V)S7}H&_+?ibAj}$ouMn7vc>oQkeI#j-iT= zZmNgXWvx(7A$@cqIHMPW+>@+K>X9C)EBuj_ONWuMVSfv5L0aors*^YymtIxU3HBgB zaZ(;VJKnMVaU(dXe>f&(Js*KMBNMHU!R^T|a$=30w~nMURvWja04^zZ1ak95u0*gf zW#i!A*kFof)wYG3k?BYGXu#;ksR4*#6JvJilMm%*rxkfA;Dlc))LTnDtt$3QH)C4?yV zF*}pJnrFsyWkQUrKZ!l=Et5qbN5_w13!@M#=1Ca)AYkAnE#y)oR;B)Dv|5!b|45(| zrW4D#<8%*4@TK@OAl>Z~bEYG1yZ~JQ7N7!~x{T0x3?5h%2~QE!U{RygQC2RifdGs8 z5s)hWu0n(dR24l?Ridc>nn`{67I8q%5#zbL7pj$Gb{><8q`#4X+r(iag&)Kh>SGE} zzP(ZaWTbvU4NwrVJ5N#YQUowzds&ZIV%Eb}?^u{>QSM*}tR^z|j)Iwx_psy}4B{q;=%yKSAO=6Gh zMre1_QX;D+#f}7@zftQ_`hfd6C#z^W`y(>x_ZoTFe_2zIvygQuqxJI~LzJChjnO}4 z%b*6+rA8(%r3zImyX_ryN})aGJ0xr%qR8CV-8)I-s6x2<^avb0-<bmhZU z)4GpD?mv5|a@~6OfNACK&UMEQT}fx#63-*|6Nf78iJw+(b|nAuDmP&rxX_(4Zhx%e z@1sXbS3b~{Zu6ct--NO(?am&zf2zVImp2YOn#r~&kJiHag`Xeja7ZL>+Tgu{Tv5-T zr11_mt`bM=93XxSd)VaFJwaBsLbyJ1fA=B3#odb_dH1H~Gme^zVMf>VxNPck?4)bT z#O5Mr@@6nApxeFii4AZ5S&0KNl3tze?0xJIW5vUaL->V@hUCZVj8A^i|G90qF*<{N z>o(OoPm^5x{J@(PLU^s=CG~ia+(mf~eW;b1KcJ0c-Av>aX22UdNU^?>jFYjf$*}cj z=T0M?QjrYGOoLjG6&EEvbHWX}$vSB|HBn>S-ltYEaOH*W4dYY?!?luE{dG5;EB1DT zSyvvFi)+vY>sS7=tI8RLbJn2ITSZit^kINnV3%sRmt(_I290#xzg@*p$f zgdgj#=eqp6x2f$Sx*h4)?Bgl-o>Dx9{3P7q`}(=@v>Er0i|R90Tz||}6t^76B$Nrt z+T<^J{mXEi_%O1lzDoeg`QSu}L(%Hv72#@E@>W{HPo}5s+oMmUI z=Zq8FOyoy<#hO>&kqJUbjf`_Wk?lLJ^P4{Il2US>sKQKY#SI|dUr(g}u*qMr1w-BR z2iH=u3Z*&1YM@_F6k3Z}-}K2_x8eb2)ul4}twdI#Im;CB&fqVvM!SjK0ETBBRihjA z+@Xb=A~>a*p#}b^FjQl3?IkWDd69f z=D(%yO{71XR87@Qe&6a>N~l7OYd-DgOv6@%>P{Z(k1%DvoQX`v`b2S)p0S+pxur(E zSiv;zT94dqQnC{Ag`9@P{YY^n$t~5nOgbl7UdnSZWq%jXc6-x$sA$qT>AF(=lYD*5 zzCNd=wYqB1&RwKKsLt)!ps%Uao@<9)6IHls?sx2} z4#?-BZHLwO^Ba(gNMleaAFUQ?f!TvL>1mUUyu`*`6wUP+^6C=m6*|BIG|+-lqDK@l z>2Lm`KajsV^y#Z75dob^;jBpFglgdL*0J);6J?@)uTc~_bwo#p!% zWsdVh)y5s`l{rlY{30kL+jmj1u4$|TdxvzX+ZRzW0B~B6%BS|Mr#u=UnIT_nD9q80 zYhOndTqHMRL3XS{kf6$-5AiVA-L%<1E&o%Q7}%lrDOzMUeq zKE%2`q|=SzG4Cc8^OsRk;e1LWQzqaBP|kG8=Y;c>f)eW3MYUlfp`2SS*|RAXZ3e${ zCz9h4&SDRAbAx)X6sEdO*|#f4?sE3qW_gjz+q~}R*bS@+=x`0OmUt9J#xORsXOeYx ztu9BX95O&r9rhjfWd#vWh1__br}df;z)N9;+!)xyltib|^`>VF-|jIs88L3ie*3e9 zHh~kdSG*K-`F?lV{>X^H2dXZXDdD}sc=$a3RVz6?1He6Jp3;=;nO_ueXK~LZukH=E zL@#$S9EP4xWBaoRZeI6L;}cmPf{s1nQ-jP8Dpx(Vl|fpWBTXV@)oeTtlaKyVMA%QKs~o_53+hHvRhH4 zy2IL$QKSa)gu!26E9_)Aca@DFjLzjbE55Xhbx28SW}EAnCR9i-Ro|-P*;D-Uoe@SX zjedj`B9!bW?PTm}uz=kF=q4m96}1GI2Iy;-8}D=p92;6SNmReCjjtCDmzg&BX7fXV zRB=OK=zP#hF3Lf73YnZ|Y40QKWb-mAGGq7PoGg92zD@9hs67NVCz2oNz7PeNQ{a1L zTe{FQ0=2@CM?0(R+e01HQ6S-Azj4#)@ivK2I9y5}G8j@(`}9tb8FGzWH+w4NJZpk3 zFBqv5NF-x$x(zu~QE0_{)XF=iN#fT{rBX2Obk;cC3|(8{V^JCIFTGsv`>a(S=TAHn z=}w8_Oet|I&!`wsFKBNaQPj@wKbNOgr=63SvHAQQKNK>h&&{Ry$0_i_1SW|IQLSUk zZ`tdgWKi7$@_`X)E%yrdT8|3BrK(G1M9Ed-=`>F(RogxrA*%J#fe7 z3Mb9`Omg3YgXd8fy@C5)%VTQ|Cb%{5LZ-^{GUyrnQpj8XtH5yZO{=^Me!-%6h> zu=<8soAedtVlD5Ph6Kt~=Be!IV-)Hi$7*KSDumN>sZSasfR*v9Q_-#S!mFm|BJQRS`veUBJ!Th`u$<*Wyv>a* zP8aguTC&(CQYynGod+t~waC`yXbavEh=%kJGm4gNUU*(TJEw9{Ls2k!Q}jfP=+Zw# z=cEspP3ym6Vf@Q9P58%o;UA_Qb>C)Sq}9eqWoy%r{KhXf%7~eF*Z3hb9a}t~(;k*L zNv%_<0H=b|a+G>WKa%xlh$aUjxiGTIAKy6n5AO-q$v!{QpE{pnRqi=KX5LxR9sK?? z-u1hm1^zl`Q2s3VT0PH#@_0-eW;Ro6-HDA`KJk2)^c!#N(IJD)yLlRNmELp9&KX--~Z{d#eaAh}1+p zIn>x{5&LA9@y@Z9=(VSXfzc&Dghn4`R4L@)`$d)uu99Hb3~TP~wYnpgJix|OwZtYbtO+23T^ili*t7xVWH2%niUUG(a;Qf_kvfI_zHf|QqI^hZmmlh@RG zSMrx-oXgkLn{tUK`$?DHm<;Zmz2_veW0Zw2f545iCI~XfO)-XBj$~^o>42f*cuO*1 z31nKwwgF|?-3!9KcR$qr&|Fd5Vr;kJx?ml5nY4qj08vQ8dCfqK^0<8m$y+PgiWR0K zql~onHl>q{zk>T$OPb!9{G$CHE$+DT>NQ~FkPThLfwQOy%cYAN4@}%-OZ-a(`<8}R z>1cGj+n}B?!~sBv)QV@V>B!+9yvt;1#qd%*B*vf}lUgXII$F|rnfl^3a8ZZ&UZlAm zxj>@nXgXB{i}y%dd`}FY?|TUz+dz`YLU@4}H;^{$xgU%F2AvzGyIZO~+@l~X3-pj4 zvQT+RnqF#fe%6$B=!2qa+cL%s;vuNM-;5v}LBTFI!!VDWCxJj3siz-W6EmOBda(tWHJDLs*ElUfE1cA8L3f8V^EIVm>qelmS#QdpX z87&u`TJPK3bih7~>hfcmsQ@>*v<+<%)%m4T$8tLTdg(N7W~nA3aVYJZA4}E6`9ze6 ze?$!cfaKeJpL7Wb>2A4msbtJZ*GO_n_vQc>-P@)2D7BcKuC^<3LUhlcOz7ysHVYls(`c+f9ae4RV%~&k8!DW86FV z*RYCbP1>^epor2Xn@KIX6{YHSbJoE~CG&xyOPOA33^+vOxu2744dW}lun{&O9^_c< zB#Q7)m7dF_*dFI3yTjxOR-~jx%BfFoXd*!Y1HsY?u1#uD7pzca=TLhvq@yYAUPkIZ z|5W77_e0D|2PzqI(~qqA3ur5}F8H7f3De5Q5zHTM)6o#64IUvztXL8;WlpdF8-k8S zmsK-7-nU8%I$Z?rX`ZpQQnxUBB%Rpf={rb z3FMEa5srbD#BUFD>qSxK5$1u{t{B6usXmb3St)j8qo0>I1l+n}IAN*ZxaB>2$%EHh zI$GW9`A)iosmQ))Wkq0lgO}inb_Y}OcV4V%v?03jCFz`r)?6wZ)6eMt7C9O$@WZEz z7&fen=|w+i469t5*)1=1KZR8P4PRl2&BkHaYi)?MBLsgc>8^6QM1?Dmzx&BF2ShrBs*oY_Z&`aX*-u{TT61GPqLsJq9fCEr z^c3@6&KTs_T4ei!HDi5qcs>fiU(5pm{ibg2oaXknm%7`*7GK7J6pFJedI16IZljRRfZBB{&ai23i)st6V53NT=YTfGxf&S{nz1Ras#|66=vU--J7jh*+L>G6QD8&iJCP-{FE(~6Zmne|wDBKY>r@1zBIC`;(Z_The%flFos8r1oXnpEkrqtX-rONw?sr z{9EM1{d*|wJT+G36|F3+lTihbV@W=%ftAIV&lghn+a#=Ulx4L`{M;FUc1V zNh{mXibhzi4L)ApPol|5R2EX=wN6q)Ngh3-BI;DPS>2u%98jjP5FKnB$Kx zIL??cv@L_~M)+OwE-y0{%6B6@<`E`=Q-_>_fukC3hQO0CD`T%HDg`GC)t3X`k3^v| z?j~8Ei~%vI$j3~Qo$BM&kV$L|de2!RdtJh>ePMjk*T?J~yiNTHd2H1OA|sf+BlE8a zzA{r}7cBS`n}$U<*J=^$XcoKXg{~-Dx~^ErFACjkrF)XvMtv`OVh-|qdHBi*W#Q`L z;fjUCR~gbj8U?w;%b@oW4iN@bMwtPdI>gE(>pX>2EmejYT!)z2L?&A#DH6egvc>%d zD^j>ps7!Ai8anVtPUR9j={O2luSNl_$`s3O+ymH6w}bxFjN(qonn(n!TzeatcU&;N z`>T5CZwUiM+=HSgn38s^BP9JF2V)xJCb^T>Iay8DYQe0WcAun zh>^~4LCCu#K+BAiWPM!gZemJ=e8D7n-udDZKbAe2dr(glnlQ)XGi9YGIQHE)>RG@I zEv(bo6b~a8%8ciFccU{7wn=BnB4DLOaRbMHDDJ%QR3qOKWi6w^;8^W1bk8!#%`)|I z4zqt_I$?K$bD~W0WLtz*>m6aBe1?7zN!LXn!fNpEGzj@2xyjFP9OwQm;NNk!9oJ(} z5N31}Ne>Zcjw3$AKCp_I6CAe&PFR&WajqVLsIVZc}xE@1^@6cn79+ezBaI&;Xu$(I7vVJ5fVeRVNe=_XKv^6%VVY;YIP} z!hW>7PvTu(BVBwJ{m^IVc8JibXEaC$6Q%piVL}Uzy;w+pV@;Z9m=+}DJBE{vR00E2 zHEWP%PW@S?Rnj5l_z*Ri$ci;VT%9R;sEO0Qkw?y!$G@x_pBtyV@vtN7{{53O5Sze1 zahB5?8_zc#9YM?Dlb^N6#2ETX_8&iXUqSDem6gRcoW12Xcl%RG$AWx{e>eEi2GciI zZ*1TAXO~*U`^2lq7EBh+Tkf~bq{6;ygXw1au)}h{ohH63h|v171(mDD)H%w2pZbo9 zniOpjor#Ppv3sNEWqVo2Cp{31t7$T?oH4ZN5F6w{n_V{3&N`@Wd7 zODZ#-7oRa@3!hy=P5jNc_S4S{Wn&*P+-sW5DnC0u93A--okSen4o`i;YtZ$_TLg=S z79NV82v52HE{Qe)mN#3(7EALVQI1CIA$}v}vkA%KW{Q~C{~^s>iuiOWeyY27dTq#P zGWrR>4Y;|cPRJiY%P5*c{MMP&jd`wrn2pTMr@N(skT5n0i0J4~q_O zj$ z5w*w4C1XlSuVW3I3Gc$(wiGT1HP%fIQa*BhkE*Uy9)aRr#Nkjw-1v7OP)Z*W+)*YG zzMBNDp{>a8P5Op~{?gZ>YCb%z`!iIMcObNmatee6zEvYAgGp5n6shw8H&f+aRiog3 zl}oryO&?W{IzX27O_)EHTB`loq0u+fH^bL$3m-jJuAQieIo6PTrb#2+cboOYB#m@; zA_3s{)_tYMTh_w|#iKIP{08}yp%7WE%qvtK@NFXHnPuFM*_0ZS#_MO5YDN$&_*~o_ z55zN@RE){*i^43|LO=VmqOSqHt z;~3usE!SOgX(=q>+LLwF*VPMtikO0)JcQViWhML!-b9rom<1%6Nz}BV@Tu~_Wg>F}kePY(6RKH#)PZh|xGrhJFkeWWdG_%xlAT=z{ z)7;(3-HyDGrQsem51K!eB2JZ#8Em(>F3CRT@)yanz6nozdzU4PJ^d!RJHA6ETHIu5 zmksl`WV~ayFB_Hweab>O*8OC)0&ZZ#!NqH}tuq>>lyq5#!15+_)&3jmR?u;ya$Uwd zLDG~u^E%(tY%>KqX^SAc(aH7M2>l^cO8aqgHT#pSwD03>OLZ5si*3(NKKp1Fbup*7 zVHeqVtW&U1#Psqz*@T}u)-uQL9Uu-eZe=B;CuAmMBxI@6)tPG7YP#IFkUE6r@uuV2*9e!PqK^ReM@=U35|(LSezioY~z&k`8$Mjkgt%Y`>KiU~;Kxyv`nFe?nfGEsG=HgN5ExadC zP?|IV33bK^YR1FtSs`qJI21-unRL_w!F3;5kw zbeJ-4#8hA&8=;_rwJdwHrDNVDEJp0^z3(SH6!Tx1Ti-v;_KTKsYVL29w686Y<#quzkNTdR6%Se``B{Y`v}Lt4A; z=@#DqBG1&~k56!H6|=;bzvfR?hiB=2%PDr${bn5}N^u>>aC!%@3LtxIEQvFZvzDhL zUql<`xePvbpaRQ_T@GwXL!VkhvUjucVWprENzicTj;S77`Dx{tx6u=H6SHF7dwyP4 z^`mT^?73{A?56Dd@^a*W!g=$1^ho2JsnWk1uY4{1vLrg8_QQ*k%^s-^(F0LVsq^CZ z#(TtXi4TfTi#LxCi3jFPyi>FU{k?oR!AJ3I%X?~Kd3i*5wBgRr0C(RLjfUL~uDV+< z@Td%`G_UlkJb7i{g=?xyuhco!H$FL@<~wv|#UyQZr=99xmO&(BRMH2P%6`3l{GCqo zF4mYHhg=waLrQ1~wVj2_5BLp@D=$}m7Tucslbe2xcYatcVn66+m*zgCDj$BL9Kp~i za*bU7pS*+l`6>SoYj+;j#P#|5;9q4=6689_x-)^=l92R zJ=fFgYA@}DNHQm%^Eqec{W=@xi!WRfyAX~IPzoLjiA@)@&_Fbb9 z`wzsZo58x%XA%8g$j<$upH#U9`S*)x6RheK9Y7aopYnK}UNTb>; zk})5T8mz3KCrW3f{;I&(gEV$nSFdJisihO83vRgHc>l&&OxpRztQ%8qEWS}%J^Z|@ zgGf`SF|QUwl#IBH&=##ngZquJ8>g%B$3a=tex*+qy#&be>Wws(qFIJ&DI@`UOgok} zrJ`Eh3gilpV25D0;3D0a`Ig3yT}3Oj#jd6~2D=9XA6L{hocV-h#{#50Yd9i6e>xA_ z=*^jmQCq}s(#VH7_$TOGbT>K;-GWB5#8haz&3umohHIW*F2LS$%Ja%|%d@kHnjG1r zdbj$i^)9yZ>ft(H%lJrTDYL;y6}{0uX#3l8RrZqiTe&F>ApK#MMdZhAVb-gHFDk$r z1OXYy;;crI1X*-?52(PGXu_Y!m zYLXF`e|!lbO$PsCZ{EMAe!c3UYM!cAwMX?v1@u40Yb2=+e5`XoAgmX; zH4Ng}Q(h(HE3y3~`LaX5H~f_{SD7D~Gv1cvlP(;&?fNQYpu>oG@rzkjPN-ok11ByA zT7p}U;SRw+6f3TBROPEyGx&nwyWF_>-5W5PK8;^y-H)^0>wf!*wgiY}Y*C@WixgECcCe=?V)9G-4~dPqQ`X;_Uc zxuQ|=Z|YIbY2?VYjaoTvJ}hL!(3x@~0y{=GWR5mt7r}xh@(DyC8!;yT7K4;`Q*)<% zeW8ImhC7y3SrvtErVB1r8C@w>bWFumedx~wpp-xJw<=Tl&PzhCvg9;Az|VFJ;xn!n zY9F5z3HOG_AY-5ADr;0OxDo42xE^QEh*y_Cd8Cg7$rrcvF6+J4+pl+B@4SA@vUFch zSGo+-=Sx7XNWo9M~-T?~ia*6|ymLB_};ikUp1>q`6xUszy)N zawzd?W&0!Jpc6ShSPvrrm&%}KurlZwoOsh}TD)HCZWX8qmAxwWq)41!LA?$R2bxcO z8gJd_-|JatkS%o3#pT82#^tx>w9bI{wzVd5$#-aDbU?Io^pxlaO;+Z}sXb{##N5}W zQ*Ei!iQO$?M}BP;6FE!4S(u_&Hokl?kJ&Tzlk4w4vOf4u6E?R-`LX8WTs}iuBy-V` zd9toYHswk-mGnGWtB6HsgL@pLXZQ9&;wgBScjw~=QLmD*_InJVL6gvNw=rHhwr)7t zWx7;l4!*o!78kx%kdeQF zvbKUpfohw{F%#`%l|uOZq>TAbE)K>jMuG)Im6>sAKjVM2+5vaRI_)a!@GL_D_$hax zflojL$q}Z!?X&;5Diep}!Nxm}^wuyNyb1K%;d};p=_-R6UQZ_8N+RI-@68u{Ut?{j zy!hh)^rS85lKbfH2lOXhwx*|>g(y0{T68M&D9h8GTO};AoeL5Bx24QT0?M^#nPZuI zS+TBnHEUa+>2XEqzdNUE*Ps(CS!L#5b3~J}KG0l9uVGKsqygJ||Mk(#tVC;sqb(xu zzpSsfjqnU|%ROe~tMOKNO!~@!u3eMC$+o4N`i zoLV>z4Hs(Et3lrcen7yW$!i*GykSqnSifW#Re7n(u6Nb>82+oMUKb(2Nm@fR?B1GZaZ}SO)IlfF{ZNnJhsMooQ`+jywhdHzr;Aryt>s$ zE*6!}7roAt1rnf1l3RDbF2=8SM^c|`CiAbqfmi#JmuiOjEnQjD?qFlosy@ozdP22P z)uD>GPLMBCE5(lDx7yb#0xS?OAK*)$ZH9MUf1?~b18Qu&OFmacU1zYh&n)`F>?Pf# zH_5>4vFUfMe!AeNo5iiyM_YYbvfTvV>>^`|3D7Xv+-y^AE;e7Am;MlEn81JzFSvS5 zCZ4DTb+$&WOwfP_HRVhd36_W3$Q_Hm&qqyz7}&l~yi_+X=wjA=c|lvr41Z>{Ed&UY zF+WI*!dE+S$K9YY>H`MeL-o#>k(7D|6+0+KD9BHmxMji?fAf@;g0;t4V@^_% zL)J%e!-;NLX(eoztnpIYB2{TDUlj0XW$cJUS}(4Uy4AYWdez$39R9Vu zOQ{uNo)h8euK*|-wV9k66qM3xgSql!8yX)yevz0wFnCA@9@<<%Y7b_M9~BV z)v!V}XBQ;--G?tqtT%y=G@`X{2)#S({HD}qS(=4t#*6JeC`Y0;jx&C-#Oey_0fY7K zd`+`Fq%lMeTwr-hV@gnsVyUK24(Eq1y%h{vgFHrnWpbQC4LF%)x00Y0VlR=sXmBT< zx>D>Zauf~k$Q#(X-t zf(+WKxOOi!$fiuOd6w0xW1oycNuc27+3HpyMY`)zmS`l`{CZ9O*0NdzNJ)J=V*r&z z8-Qs9Wj?VIqvhersCS&TZ;m15aOSkWvpM8gV}Pe=Qm5g>cfOWoDCqU$hO^t-LAi{x z4!>&+rV|HRZrkI(N~~sZ;Mi(7U-u?Yn+qP`%`^xMc9zu?E!jpZL`l2;bdxiHZJwvx zpOs*j({uZJ-N3L( z(tXW77({8K70~i%MYLR6AuXR)EY1-Zi1Wln;#_edy$G1ch4g%SG3as%K%Y}2&6O5P z^QFa{98Lizk5k0SZGrYEcXZ7U+A{7FZLYRZo3AadE2zt>E2_(_E3C_} zE6&WxEXd5uEXvHyEX>T$EH>qs3QT#XGOlIK52hpBC#FJEzNwg+LoJ}@QH!X#)Iw@L zwOE)VED+`ii-fttLSeqJn3cmSVCAujSh=i1Rz9m(k)tS3JU>%C_LVA8NjqXXIBL2TWvRqX%zVg;bRcHg!Z0PuQ6WumJ_IyNBE%MoDNwcwZi4bjFVc|+ z1!+M9<)Jnd0xhm{Pob)?XRT^&h-ks_{yQ^*NAHA)-appE(HbXF43H6o-{|AJB>o4itWS`#7<%lv4hx6>>~CO+lyVr&SFn6 zO}UFHVk+B?J%R1S_FzxaW#GKDmS#Z!ZyC>-H;Xrgx0vV23+Dy#Vt9_c5S|Y&g6GZ) z;|21fcobeJ&yN?$qw?rH8joqSv%P1VXqyj~`g6cye<@h*&jbtpMPSK4*S4jlS?#V4 z2_6Lro1StI#C83hGc!N57;IygaJgjp2Vfjd6}gCfMP8y{P#?WT?}HO`U*89VdoKDr zSXjOSOUpCpE|s!Ln$M=f_JR=GZ0rG=sH$t?qYSd+a&IE3Y{vo zlTMI2Nj;pW(!q%mD-G29qa87>T8h8H6kIHBGQS4IHCnK6ao$p~VE^q%thh!N47 z4B*8;Kri|+s0^CSPBsw$jQ%nw*<{&VFt+v`0vG82&xztqI9vu- zfH6@AG!I>cHi5gU=YZ+fi%vp+KtDqtp$pMJ(C^R@)D1m~evJNwet`alev1wPrvGPf z*W?+vZ*mLlwOLRXvxvPL9kjn1=dSX(PijOFnOE7R$U>w7QKVcLaWdn=u318 z`Y-eg^f9^^y@nn@ji@JD3e3X?XgFHqO+~a%e07%)FT@^kMVt{U~vCB@9wdNLiE?o0}k3fsXGU?D{T%H?7ok@H zXlg(`&=T|$^gh@d`hR?gX*$$$a5b2uVzG7T>5$-uLJpWY5jWUV5Ebob^WyHo&Z4(f zna$c<#2uyzm^OPXA1zi&elDsL`;nRdZaJ=}vjS60Pr$JqmgWB%lKvq!FL-=gl%?Ek)rd|%{G@2kQKI4J zh>wZX?4RfS_5HUErN)!HhIe1+O4NB`u{}$Xmh#yfHt1%l8vx^0@emd?X&fi19HTsN=vU!J2_R4qy^&{7Cq>=~!Kl zzGsu|CWc}$LU@1&$wDZ zRS5kmz^?H`a}(CQw~{%@&+@-s4|Zj54phF}37a|@TKhb_~4~|bImYXBdNFB)f zo+5*6FK(c?4xCp%rmEa6M5v4==4=wE4P&p!Y8?xQyOC2#7xE+y6+vs}Os}y~Z7dtz#<76_rHvWgYYuMJ$A}cgi@2Ld7DVUrW{3)^n>+df&=P~9Aa%Cb zS#dPA`AXk1^o#*yzGsUmieu_#{l>8v9B+Dk1`op`k8oqPn8bj zDu)1Gb3&Sv@HO-=^soMlsxJn?LGSBjE=fMpLgn3I70>{<{DECLku#AA?+^xbzyJ`Q znTQ*wv`+rK_cc1orPPlJ0Mlp!!2$X0Kj1yw%pp@_c5egP&85|IcwExhY>hzdc-z3Z z0UwVOKmaJE3KjEtOZCFWxLyg`j`{O;^DuL?7mX!wV0eoQfZU-POW*=qf#D-ARFqML zSpfX+ru9clLX5KE#{9lvCVMxedzUps2hyh^iULB zr0Akh=J3Ys?URGyezEb_(fvSk5QdV=4lqJQyjL65C&Z60#JG!W>Q2#?sB586SJi00 zc*0c?8#kVL>_KZDDt?KbAD(0(f#E*SbMujj zoPx-^r`IIozjCk4xgXh@xTeRPex$A`u`eBbVPgH($q$vm+KGkcGHz&nM7Oi{XlC>6 zzOfv?bj}$#vKu%NAlkTrYqRt@qPbYb93GQaLOs$%09a$gQZj?LX7a$luj^dKJU6Sb zHFQm~UK>a(`WU>xoC39Xe$1d<)^_pbzCRRV^zM|Dn<*ow)3(r+H znO#J0O<2>T&z>dwz|B-Qm7OoWqg>mgexAi!J^5jsH!``<7}=M24kex(ZU!tDJM6c2~G2nV2J(>!t_B3HFg~vcOR=6+AIk+GKv% zqn6Bv>|y^xb3FEP&V9C=Q_`f*^bte|+y%QPC$Z~#00RUvRZ)^l1kjl_`~;6dFh`MM zM97?2*s5J=tDN%>0?OcqpPEx1dqg93G>g1fEoA z23P=)F=S;hpgQ0q@RUL$au<<W!V}fgE_9owV8zxK0JWvsR3vs9wSVLm5?Fb3JA$gYsXb9O$u1#i`-Jx%V$K3Tg z?$qe;;AS7R<;Epwl4#z%XaW?+y*<`V@9N`E^e~a9qD);OSRd^t3RJAd>$!{(vks*H z>nA4p(^rvz!Wy}wo5cO7ezGyXZ%1#FKEanBCyP#+KChnfLGQnQk}gbgmL5%zKnLnw z%-9i>f{`$n}JN_td@m$dvS!B6#@{eH9zF~ z)rWP5&$9_Sg0w4107(p)?*1E+Sh0mmdbCg$Ab=q=7WX!z<5CcaWJ`1l`p0Kn%xMVB zxOWOoVAQ#pFJOx-@2HSYaj9bZzk}9zc#Ge0b_uK-$^MBU|fwp6h~MaYALs%m@3j?`iLtjw8acJaaKR29V7WcreSv zjjZ14Cx|DOHj;{7!Is&0TQC6+6b>>T+hKDPgy7@qmz+~Y04ks#+*z3kfw^@H7wZ0B zb1P~35oUhkcN>%*AWq6NMK5k03;lqT^X5A#xIiN`KhxnW z{y>$dE|!~8@7le{x0?+j^{=GP-3t%m`tThu+&JrGo&bX>u1h6A5PIY+`tZKeS^F^# z=#M8xlj+9;)cR07yQkp-Lea*{Xx(7rS8&IU_nwi`ldpR#fJ__1qvCobPZ2N+%#CJ( zPO0-e~KN9#dPUApz=>?|Ceb|oe?=BUNc}?+X)qU7w ztQAY>y@)=(jAB6kT8J#?#TX-1fx30rH#~RQ6r_kFEL5kCRf$6FuS779Zsucx5ek~$ zPwgpA>A?>;F+V2!1puZ(Ph3WAq9)GaLbYj;pvaP{+jl=R7+yil5FD|MUqQimb-+1y zIL8WG$%D4Cuei21E!uPBTf6NG8^b0Tfb5{}&9o-kuLNk2IzeHG_D!O_OXyF9T%iB7 z+fLzd9{e$}*ml6?X?pbeP9>2B_50ctKE>yw)Hbuiz04XF^&om_kLS0*O?#PhD7ll0#V z$SYv>p5!g7k500eeu#s)Xk=V>s$ZVuC>@)LBG^IodscCYp&sJ}fRT+^4I5$C?jOxR z_dM`v8ouq^{R2^hc5wsi(^qlHYt7G3Xmc`Kfd2864GMu7v=;T0?h_W!TJ(b|;L{`~ z4b9e#kR9WD%R7$D2yCH0L0d7qK-oHnw|^BEFO|1Gf~GMT(|OEOIjmoZnY@L1mb|*R z10BRXc(WPqpccFxPOd$=O=CJt&#?=z6Yv`XWYhkG{y8RX9&_w!2napt{~RhCJ6$@ zyX-aOXn`?do3*X9Mp_FPLU(C$+74MO+WIFm7eHf$ z%yoDwn))ZRm??yF;1BWt0B8n5u4OjiODr*tPbbYtH9^6E-+;A(qprxwBmj%Zx1H$E zW|mO};323x!RZfoXB7pD z{RcW!X+F)wg6Mw_AQr<>beuOkIzr^E_}O11-pxH|0fp%^=GZKfufC)2F%Pos=!gB9 z-22v|Z#~7gl-(70A@^wuO1%HJEPY768$CyQ%%GWJ0diw}<&$(8ob7yT9FOrAz~AOX z{vrT+Ot%x~Xk_#02)29uEc3sGs(;&HT=g1)plLsr1$Ljs-*u*)+I-WUcWbuM$O*Jh z1QQsO->uo60tjsXb`0lxFiu)PHNu>DGZ?Po5-@0H7n#UKyyfO`WQY;9fG2w(SI;hL z==TI3Hu?CI3@w>Vg8TmqXXXIDJ?VFTps$Fx{n}9?Z=y1`_j;>To2ZVZr0FV zutbZFF-E8Ybf0j)iFOzLi+GB@>ffjO-&D+)gZOUI%yJX5z;Y(ZjlK>C%bEIVNx@(> z(-PM6FWp-sCgzBiDbDqmz?2-hK=s4xEoiiSxIcg(0{D?S#DAi zC@}-HLgBBZKX0yiFUB45L62ZFdEb4;#n;KJ|A4`=W=Jv43h|bhmtk8*z)aTvuIU{D zgXf3wu2&VN14I<>?Z8PT!0yBdU@9@+aZXG$If)j9p6$=<0j3|8#G}c?_`Ck2lbQDp z@dFKR=QSf~SNSV&D3Z3GK4AFK*mVbHdA%6_r*!|3882!UO}Jk0VVLJGjCBC9ySkI_W1@y;8+^t7`e&R%O@={8CyoExyAJ(+=o$Gb- z)|EHLt-Z5%MlVQW+0g>0v>rZO9DC<-NUuWDyVG0e*B0r4WvD{Ve^I)gAOl5V# znaHjqb`4{;V~!h)x?mK=_M5B^0$l&|8a#o=_v`niT5_jL+K4u>sW z4y}z-OPz?n%4GE4?4(1Qn1p?urExeH$XX9WsQKj z3Wt8uE-)}xlGXR1Z-xo6gmh12(vut@XTH=MzHHRL3^z15BH0?;u0dYDwcmD9a-&q? z4j>nWAJxoY2p!G~2hP*lgU-@jMpD29n5z+%+Lo4CeEhQd?1e&$Q=51qcgFqG{^pMw z;ir#?#JP9sHgAR>JThNTd`7ZbqUQ3G4(36ABbne9nBnz!SQRCmZFWP{bL8}RlR45r zizU2OWCgh)9-+5ZsKGHb%aaGK1HV)e;y(=52Wj!J_{@=`lDL-CaGc0^_{hrO4D#8H z(SDWcNdvccU!Wz-HJUy^cb$j5h`_^~&9{V!CoM)g`uwnVo9Om=n8G(zYICcs*@w-+ zn{FwCP^EW^?qP>3rG7C%~I;slU+19HV_0%(P1S*&3}Fd@yp%5$6~uYD{MWjGHP#FVx#)N2>C}3M-lK=ZDrE}|UtWGp{&r95Qh%$4=v*OKXOKGAFBuws zG6Zc+#4l1BjOl!0>Jy7?@l_)cIDLUif?{KGF2tjk`+) zg4fPalqOwhj>;iZ?mzc7igU<~iMY1FqG&{(cERFd2clM`ExK{L#`L)PODKB=fD}wF z-5}_l#!h4+)=C+3h+;=OY^Eg3NsF-?^3iLIWI1-{CWKi$8CUg&8mK8 zVPFBqj!&6EMvzf$v0a%@?(SEtB2y+?t`=cu02WOcpcoa5(|G-u*y z#ALtNEi)$)R@J9l7EKfYq+@&TC3fYFrRbzw)EYIp+@k;izy18ZSL`|Sf+kqKkN%wl z?|$!9+?;uS6RcB?{!M8jihA8hab!QcQ<;9VdQQ|GvSRc@a;wBBYPVEG9yj@(2_HG+ zD)3#~y%AL$7qjG>W|#tbb+H1%DbxEx=##J!K^|1rlHU-btEfAkm3L*$L!UD-pRqEo z-y>G~`s^_amE1x>DB)fIqZ@B5FPlEi08F-vt;$0kCtZWK^;1bBH0a zDmXt%bJ{I=v1a#x$LuHPi5aohDb7jv=RkWUwpk@_>V9drd=`t(OTWqvkl27(67fu0 z-+t%={~GDetFlSxU$O6wJy$(0Wr!D-ytzHQcXO=v=91p!vF72aXX`{8py5E{6_AE& z3=DX=Yqufkw0}eOud!3q! zxY}-#`%CntYl)?jEZLgq?(;I&v7FzvcD^8`Q^+Z`Si##2Q;2-IDNUkZw`fQ?Q(^?M z(FM1J;u6cUDLO?ge)^jqp<5gH5hdNqPbAvbO|jcf&(WfsNB7G$UXK@zvykzwGp8eg-(xK@0R;5O;C-5=Usu8@I`tml##y}~tc-CQCT&$5u{algK&jcn#r^a+THCAg}Hp2Ed z4p(j9OG`$x(+!6XrTnN3A3*}nsvFt`v>XbA#y#A%X$Vfgz@V6Gt4w|Nrtk)BPL(Oh zle=HFVD4jD$0O@8=jbKq(w{=-4IC-9U?(jn?DVs)?njP%3gESmCWbn*7j}l$8Teuc z^ZVg1pbze!c=jm!!+dkc<}B9W_u}BJh_7xbN;G0u%R)zmLv$GS$8_fHDh10c9-O^6 zDA;7a8C%RzUISwLc89#1z?*dmMLSOzVLt@!Fo0cu1Og zbw4DwBPVl1QOJdO*oNHsjJ&;hC?OI(5ciLxEhZPJY0n>-Hqcu5-li)CQv%rO2--GC zxNN>9U3s$m`L<5#O8nD)XitxcIS}~GprAM(avGo=v1~X`^W=G0gwDuPcbEic_b}|S zgp=LP%ENH3j1z8DM`^6V`Z0kum$e3;d7l|z-1sSZqRJFC1yh_C7ny%ew3rt-;;CSs zo!hCnZs;DcBkw%2;!}A0!ubMqvdG*9+hMCz$L5pULxobvJvBlU{XOBlZAO;ApBn6S}t|sc86K68`b40HShF9w* zht|WN+D`a%`5moZ-g9WRPO%%2woVIVa;e`W1x4bBl zMQJjX?f8p*2I7r`upgpr?~W^zQHj+=N*vB}AgbF)4{TqY*6M75_je)*=OKVrlo8hQ zx-yH^%cu=94(Ef7=7~K^G3v)N)YrDWPQCq`Vy{uOCBdYne{4PK*s%9FjcVx)VcHMGA101$dBNG9pnczU;G?6KuNzM|vh0Z; zYu|)T8CduFH*s2{*w;4LSl<0OTcP@m7O+9=YCP4>bhnJnV}`%q49WK0$f7T6XZm5^ z-M)oH*S?9QVjR_Tks*A+$t4L%6Nf`puQ{Rv^GaNmjVrz%^={ZE{Pms@0q$5zn!3p&@ zE&N@#FDiz`hck1aP%IPt$a@m-r;a@7MQgYEH@0=FahRSU7CNe;4j=NWBoUxE;&EGy zYFdI=Dfx-?9}-H4f{RGx`WcKu^ZI-+U=?}fv?0aqAvHMBXRA^B!$o2XxVmAg+e1Tw z+Uc?~L1ZK3gN6IS=+CbVFsaqSgakUmwe9>g^H?y|jysV>^ z)HeMz%w3Z`_#0E21G^9|dU!3Ic^(p4sEzrg;}0MH10v!}GFm(E+l?_Q2AWfiOYDVZ zON**afj->1s>?CPP_Nz_8sMntj*A;NLOu?x0!xdE)jO!I`Q<#TXekJr|J>BU|HTRV zpuc()wIUta>y8NqKNSaqv+j0)^WTi8a#QU^k2k`99J&R+`YDn!vd=;Ba!~)TK<-<^ zhO~)fqaR>s2O(Ri>Jd8 zBeyG{g!>&2I<)i`mDLn1dlf`C414nV(Z-AP5$j4eqzSa+gYi9ah>{N-uC~(LWQrJ^ zVJxgRE$}cm$MA``3i3k(&6x)l2D(nKn9QCA@jaYMmJn`w+BozIEWHnajk*O^F^uPtUBL){NZ|=}mN64A(`iG;P zeF$2MZ((VnV03I2(uWriYui9JK0X?^YCt=-n%vP??#RwHf4K_zfJ)*>ht=X}ytn~& z!IkI8s~w9O3#6Af7}_8|{^r|E{_xJf@-YDtFkE_)B4=}xKP8iF9S!n6dK;Q%%Z*g<9TApc-&&#qf z>I=;CvMqx8JnVzsU2XeHb zs{YKa&Jq16W3Vpp_+(Wqe=1t-Eb`i$#TJ`94o7U4eWFs7EIlT*{^^E4tzbqO`q9V8 znZ|u9S$hnBJH{O1zer`M%=`wegNi-@FRXwsNv$8`3D$c1>5as()hyTh8z&j7zGpv6 zfc{zmZEAV>DLdFUB`3it$<-2;54#OrJSY2EDo8LrhNs?>9x;DwwpgpKO9hYZp{?lS ze8SQg2p(S~Vr4S%RIA1OtR;c@Gw8C=$kqIPY5KPcrm&}qx8j}nTI&potdcd zkj+19xn;-{Dtn{fh#nZxS!sBbMCLwp`y4w`^+K+6+{?P(;m+l-@uB=f)^lto8`n~K zfD+s;TX~*VLac6s&P&DR;tGDs~Zf8TRFSNrM-e7kRi$AJxm8 zPkzhBH#zb^0oT9)Ol0FvC-6_tC%<8954l@7&g2r5V*;-lJk{C&pKXKPZMToZtx9Y6 zF$@1E4%1+JIn1E0AXgfgPBNHp?3<5<$OK|5#TIuQx}N}*rF8q8XCAR^Y|DP8glPL* zY^leghY8Gw64LqpzILUyy1YXBhm_c|lDw#a9w-&3hh=X}E*R$=;fs;ZNP0_VBcxPX zVT#Nu>sC6lacBZx$TRAhEke1;NgwTuM6@X6rY5E7Wjxzta?>~5<#8HGUwwoA0IB7_ zAStM`{6n}V=ix5OkBI9|D6&Fv5$HA}jzbA{d#~nLyo2zR_n5OStq#F~d#ClcuAN5B z0!U4cd6G*fyhc+F))9^3$@*EV`QP2?fBnmet5Nvbh@p#7L;N?ws5kqN#g_-p?E2#M)=)vp{W^T_ zIt-FoN_53&`Fvtt0aQpVD@iFvt@F!#n`li-znlOS;Gr6N)6&=paEm2DrBp?#>XN4| zC_q-iW0-``-My=@d4}wJCWe7>n4D;l%r6UW68311u!i-W)i~D$Qpm>zi{>ZpJ&tWu z%T>7edu?+6KBv(*d23^f(PXQT^WBeTtyg6mdEk)YOX7i!taTKHouUAr`zmvZVc8||aECsMI;_t3YZOd3tX17n%~DmV zcBo#eraVDD7K^lBd-@5SrqewfaGtF*2juQB zq^CoF&1dvBZ?pJCn<+<+3KJ-D5;71&gO~oyeSSSfgrD z%}k!Qtl-2dRuP6+_sf2;US+<2NlfEy7XFBe-H46N49`(h$g8m<(fiATvs|8}8U}e^ z=ZTh;^c83LYBtHAHa@*f0<~q8!a1gnrBz0^>9@mXUY2Ymg>Rp+5*!fFVez|bnV~wT z+OFzVO;Y{9sDa+sRLOTV?nq{Pnaf)(ZmOeU)4#~my8D5 z=GC0O4t;9VooRk#=`Y~V>pvZs72GdYK2kjAwdtE>b~e9)q-w>9CL~b`3o}kX1Hd2 zl<|H>T1G&;76x&>P0PgqthscRHl>nus&%TJc6ZN&gxsVlTRgYCctmu9(CXswv%<}n zr0HqoP$PTm?@~%Fb&uVi345IOcaA$LUxl6cS z+}V@r%}ySy|Ghx=*CUHG*0vahyB=vN z!xd5rcpl#gJd5uFp2NSkUvPaTQfABC21Q*K_;Ks1#G%<0+G|%u)(S0!W=Fefu*#=v zisf;QahKtgC&=D-Yj)Ekh5kevYb7&%&?Z`GyQ12s(%;iM7>>2kSHd1L2ido2Q0+?C zi;S#5oDc`32oKU^RwDTVETa9z5WY9Lm`yW?Z#HjM$!_M#q;94Nn{JXXgHx-c# z@Z+&_tgEyXE73;T291L#$)x*8kOO}X*PpwT>%^UD6E+EAvzNmu(G9fLtj*%RPZV61 zdPklg4-Qft5j|ASY!Q2q8^0$%f5OUV1ep~%44-KC=)h=7v|lte8tE`6=J0&C) zxxHt{!l4+AB*8ALf}YG~y)<1yuT|c{!SP(Aj1`Czfkf@{&rOXz*F0aMFz$*AXvFTI z--?j~mD3numD7lMVFqh9H+_{6-CX<~Hn-?I?yEMeC)@LJGrw2>QITC5{YTs{RvS^$ z>v1!J7g*e->2pHo{|sSQIOj$8b_$M^-i>#NxzKLP{N z&w#!0$e$r+$>@~JM5yLpB^Iei!&r*`=XTr0z!+q4$!OiL?YwVSO4B=`APHWxYdkA$*5=PT~2{OFBwfKy&Fgg=3Eu|RInBeL6f)( zxo+GKxIecaI=g2P;qklJ6(nZH@}BOZ)T;u0>BC_MjeF^6=J5>>2rHL7Z2e60cgaH~ z2-la4a;n-1>B4Ve@SUehMt4<89YGbG|1H=yoh`wid+^=4VcgRj$md{VozexONDFU~ zFJjfH!glkEU7Z4PJMkv+8RGaAG?902r>!}5c(2p2Fi#k8jp>CuVKcEG+ik4C2Ju7x z7vv_%sJf(!j5fHdj;Z2Rf2+b`ne5tC@HdOd;aF>C^G-oz>BH7=39%<%>wgV)$Ahu) zoHBO2orqbonGB5`20Pt^DBv2jr;~8*f){O;Cd8Ud<2siGa>s+fIi-%^;r|ou0^7F+ zEt9#Lbiglyy9~KdLw5c_^(auFx))Gn53*lG;8BtC*&nFw8HBbg87mYb?W_fi>#anIu( zXMtf>Tlp&XfYN0B8_&&LzcQ(ZN?7adqy_i~ATu--?n({ko@Fj&+9y%1o`j0$!j-VC zS6qi9^Xsr{w8TnKTPWHUf~ez)dGMRm$llkvaD$4E!r%Y^4F#9OOgD5oqzc;oJ=L18 zUfdY>J+c9QXk7ryNX8qb2?^Z>O#)M|*hOqFb{3Bn8FZJx5C0jN1$U_zzLJjV9=Xzd z4t7l(SqUaO7sMWMMjR0e6WxW=RzdwroLNMSBRzz8HDoVv6}(gu^`paPo+HV@vMpHe*$W>Bc;Dya%-ghODaElWVOSl~t||LtT)C}=i;w+f|g zTXo>?t}JtfRlelOWuqXoGJ8z>xIP*M=DX`%bhqBM*RF}$FNrnRAF@2KV`;-`W#(5j z0Qe-T>0Vu}YYE*%I>X>}oe-Rwm^I@`D7dgX(4>AdY_@cF9r|$3F#e;%C=*1|6JgFT zO_om8A{9-ZCLe4Zlm|2hTo!+FeUuq7^1#9RyK1-Ul?uesuM3!e?HG<8h-Dnweb!Wu zmQ&Brw%Bc%Xbt;%IC`>+A4sC7zXn@_^fF%j3cBk&=Xs?VC|uVZ;bfPa(+nf`>hb`9 z-QGozP7RYr6P|VnJ_mB7Qw0nDvK)#izX&Y z5|WU~GBfu9{q=WU*L`32^*pcV`NO{GtA&>t&iS5mX6Ez$#=PoQ$Jy$;ax=y(swTQ! zJ?KLGkagkPjE#v4W92V=(i~#t&s@_22YbBIyc1&+Lle^zKN&vwi*D@j-8+;W<*Cis z0|7J!fHWz--yfd7LSbp-wHucy2!3XM$4s`%h>nFvl>Tu!e4-@N|3Bix4*F zaxvg)4F8O7<#);nP3(Pg{dw>_JlJ<+A%CIZ_79ixU)=2_B>nIa-~L>9TZ>&JWMo}e z*Nr#)vqr`Wg+D6oV90eNfJI^rc;f8)G43tTbI$-|{s$ z#~SZ{CO2koJ3oV=JnFIm`uxRggFFA{y(?jQO9 zo>@eOqM8kR#L`yKAn2TP8GgCt$7=Z2X}Zs~VuvDIBhv1c>6Yy#AkXg)$SUjXP?tJl zJllZOWNafJv%Ne?a0N$w-XZN^ zlh87p%RwJY_Mqy}G}?sBjAe;a5_cjbi~35AHt?NP_jCVq+PJ|OS8R;{0;h?@tMoDf@*KBTu?{IW6-q+|32lJ7Sms2zGq9T?^cGSem%Sb>J z7WIMm0G@Eq_Fe@CRlJolMpCeGIEZA}f)c#6-9w~k(6VHSSBU9uEG zi3W>7`13ezqMcwoE+^%q_E8dOx@J>RudeDcHw(YhKC07XSTg(>Zo^;!E#OGv1N#pE z#NvlkjsDwwj=KI?hjDKyNBjDtR6XK{yecq_Oktz#gb0dMil*D?ee+Nk5W<`vCD8?I z+?0^3in=t7aw!j9Skx_WbT+J;;KRyatnR zu*knf@j#i~afuDYZtCtP;paO09CD7KP=DN&0pO1qc}Yu``g~89x`beSM1ZXM)_w4J zle>-kp*y@)F5Gif+Q1^y>U-OY&nRhsbs2uj!xyx|b2LA;Kh6ov41557+p0hT^!*2} zy=l|GJTR-CAGO#YqocP%561x0% z@v8*;w_jp|F+2s=-YC;KJ;x(sBnfVsr%JfF%lLhu=0GbwRO73Jfz_Do-VKftZ)~IeL-81OsyI-bR z&}?YtG;5kA%~q6{LZ&}Ri=*G)CVF)f9&=2M#v5%tme(LVmKDp9)h{!Jt-^%cuj5J2 z;Y4j1?CMQ|=?97JNpeiF6Yjj-5=QfL8#ppSuRW474U% zj1hm@rGQ6=@Ap1`ovmQg$y6a*^bC7`GnGH@xw@L?5_XAw?3nwwwC|`ocWaE(04;hR zrK@JmA5WU`0ajPzw{GIkj}dKs+#EWJZ$6vI&=y9>>nfm7m#x;3bQBFzvHueNR zP&g_y)#TsDQx<=Cc2tF%S4^31J1UiIa{MOBJF~C()61`8|GYFwWOP_8=a}79<#9AXdmqu!sK+`RSPCt7#eg00rR1 z3}M;NDK#5u-=^`CeBiUcC&V=%@4WFRFwDhv)R57q>hmtg@yLkoCE+EkwkYHQf$4gY5(t z>p#gWQ-OnVngryG|NF;U)Zb?q-U7Zk2vH~plx~3RgBn2O&sX*2_^&v?EpT_1D+tPa zx_w0f9~NBYe`_zya2~%(l$Ej8I05Gm9G^XBX!YXB9UA z3^|`Ti#XRf`?wH*RGePmLg3QB_xEG5mNJeotQo5q(;440CNefL7Bf;9PK>pTxr_r0 zU&anbI3t5$$yfmv=Xi!2VY3|mGNBY=^>aA(9Yf*7d` z0)xsRG3X2;gT|mRAjAxbKqe#KBIA+u$QMW=VuyU1HRp~=zMhr=Fcy{%GmL4$+|_h@ z+8OdJFiZZeZdj7t$p4+U;mGp=cL-g1_B=114Q~?9ndiqd=eYpF%ado#n+TpX`0^}y zZmfx>eaJlIAhKAw-`{VD#4TVvr~U6r2{>#yz?Q54(>&yjGDC?fOJ;GaAG;Z5A@7gn z3%SCTVIPDILczaKBRpLVxuyM2W3LE&D_d_usZq^WH>d^bMhCt_gM+}Kv4CID zP#`F11RPq!8o`>z$Na|)j|Gn#1Nngsfr7wBu(~u<391_R^Y=IG7wm78^W_b4fxOY1 z@7>@n@NT@oztC_&aG^1lAKMTsh;4kuf7S3x@TxJCAKDNq2yFz8Y(uS}wh=IC4e5gP zMzHEM7zM^gTfS|Bt-!VstUV3+g8W8sL$)DG5Y-5ttTeO;S{lLAm4*O8KqJ`kH&h5J z8o{o=AwiJP2zLGr5`m-K%HIz(ZwCbycO11gaBD1ZjL`WnQ`zaiuTVJmYG%bzAj0QWWL4x= zZpk>xwr4`36~pBqNT<*MOA&0ig2R0V~f$ERf~MRAd+8iflj@AU`7Z z$ZBLZvJde>wjm)%8fcFf36#j)$RuPlvIIGdI3w$jP0FgiT5)Y(51*S$vxWUwmZmX= zq_2ig&lTCgzC2r=JImIz4%wls?K6sveL6lEHnuRO|Ap&Ul<}Z~+JPQYlTA~QM&%g4 zl|ylcEU;;&PvlnqztOE-O}OoB?#_?ksp#vJpEh-Y(`u5WD2Y3H_LXvrYQ9+h?Cxe-thTd1SN?7Lr=5uJ;hO$p{nP&1-4v{ETY9)$%~QNcV24T?_H@rY z(Kfej;#E9p$>J09gw^CE)}_VI44wLvk+0>?kom(P#Xd;wH$M6g(VuX*?d;xq7tu=A zLf%`G;l$T+Kp+f*l;RWEO|*&?#2anqJz)4vyzxE7iCqM8Nd32!FP;S1vI~Tbl8ul# z@02|DDCr^472bn5?K=E(7wECJ;s&`=I~XLM`v_P86?u}|PS_;vr~xtB;(pA5z~-sp ze7G3OgpNT+L3nC_xKI=@n&HOY>$O+UcZ0}S32vdt1N4YETouQl*HQN|$i{wjLnHcr zwC8qzj+Ej7fQV)g<5an5h{ucj4Uq%!m6S=u{Nk2?i!@1Vb=fiMF5V*$8xss@sLiB? zXG$w=3DV4%6c(r@32yh5_Lp9wReZmVR+LbIPh>cQZtgLsL4tL)lLAD#7e9gKmR-P( zDC;z^^Jw>RZUWC+>3yCHvu}sstx@lTP z!zi6m`#a4Bwj~vaE_n6AAYu2Yw2=rRnvVwveFSh_)Gl=vJv0|+0{3XlL!fG$=Xzlt zSa6&#H>>AYXl~sS%qq^7ThP8P8reT^SyGf=2B;63J3%BI?$bY_6^kOU$T~B9HnLWg z2-)}LK5`e(i}EEEGg)iGm@rUgD)8%!aR$*R&*gY&)8~()T7ZNzUNG)abp5*KMq?@^ zuE;VZV_uIfaLKmO?x37Ct)OQib;s9%6+@4Pqy zw7{J*oMRhJ3r$HT zhdS?GUqzO#2}I7%!-U=-KQaYXVhF%T!onz@Bf@GzWBx+ijyX*WQs=)@Y={M*ZTrBd zklq5aHTy5^+Qy0!c9yUyq3^Z|1oW7n)19AHibZ}r%G}1%g(7?A_hBY|wLPtnE9lt( z`SQy2pQGkC=nlM}u~*8Eh%+;Q=O8Ks@<_iCurNwJC6hR409kVtfJY3Unw_(OJW}yH z1Uj@rpo2OJc!yS~0Ca^+H`xwT`YFwgDDH{p8sL7o4<3NTK)abQ5+Rg9yjj?X_qm8D zRZYveX{?N`zojfT-P*DRKU9}C=Nj!(hNg4 zct(1ir8=ca)GYcZV9co4!r+Ar5TD_0bq>7~$D+m;^*la^PpbSF)Vi2COji0p#yKvj zx7dKH%x@{t?&-5l8LTS%}0%zUw%>MH~&4r*$1#c5Et zCR0AKA?u-eWYVM|5tC`I1twD^>_N*0CR5*I)kF>L_*nb;N_Y}2iWSZ?7agNF04)Td zFn71y!$D0POzp4T)u-<*R7?R>h`WO>fx?+xx<6Ci&J z1Q`5`f!0TBX%O}Rf+N09R{`?&?}3cykN(HZYkZ&HV2PI)##ACP{t!SS&NyjO8GGh* z&6d@{kiB2aMpeOv25c`Qo9POBjHd0!adFqM*wqZ2)J)=FZyASWv@FSFXgX`tY6cm| z4wcYimJ{o9=^ErVs!t1xX>8ZBVoAqgkfLc#e`?=V<=@B~4Jk*IQ`)S!iUGulvD9R4T2>c^jmN&g?BcTYf&Im2 zK=oQTP8c<@Znn0nueh&xpzC)qrXDdtnig?m_!@ve)kp28M#E%mkv>6bGstfC{_QB6 z4aQU@9tNI|PsLnO+C!Rv*6h8I=2kaL-=pkNff80{je&G}@31N4{N6YA^h>ToRBzK< zSxxh+LnwVfaSHGs{Lp?yzoJjE5C^gKK}rK4093`l8FW4tIwzcb6u}TEZ)T)BTWTEX*p{aZ_ackysd~^j;&@+a5KHrG=QF5mE{LOGdiN4$8r&#8nx!wn_F`RzPMj7os)d*hk<}mWZ+x(_jbDrAcIBy0X3#Kt2_i zxoNWgQ#yWhVpibeOw(BQKtWiDyr@>1Sf7h0XyiF&g{|1efLKk?RD2=kphi#Nkrd{P8tCF2qc9;4x_NbSu3V8$p@Pp5>ac_1?6%^-%3Oc z+p!j^CpObBv*ytj`}2*6%OQ~Daxana9q!qi!Hi}bas1;@d)@sy`4|9p~4Vi8%C zIA;i)Q%J>>CKF+x_!LOB4;uWM1Eb*uanoIf=$q=sb`;vGfyL+G8F2-MJF0-z9)WyD zgQUt2o2CZ~@MxLeP6OMDVZgT_Nr)P8KnlPsnvmz`wfC!|M$rVQ&?INvUU?4(1kWJw zrN2JPrp;At9t0GWYadph3+7}Wn3Cd;??vW{FR@XGB*SEBT4C}xfbCrg?txn=vQwKW z&6Gw;3p`ro&%;3IV1kf*udSj0WaLMQsN+hLQ-ke7d^~gJsL!EtL0YXuxT<5YMI3*g z?n5p!eIgbv+EIv~ccx`_x>Or-iFQu+?elbJaw+yXB>#xi;9l}iiAPo&K#4B_EY#Yg z6uhTT{)o;G>IXUb<6veAY8K!?|KeGS&f5ulz_iqZsQkMz5$YdhVRRfNU~b4GwS3O` z?h56zPD&2D8E%4CoA8)U{5t#)-pK>j(x|E;#r-ii3=AeL5WK$;irK2sb^h=#6bhA zRIyT;BWWGBxz38^%}QTjQr7^T>Jiw~?c!}<>@^*%`}z#f54HjZLf5AoczX{2cZvUU zK^SGC^28vqIdFQT(yi05ANAK32XRj2V*`WZxl@75kNU2Em{@Pq*ZqHi6;<%KU2d z0CITvbDh`f#OaR|jiAmebC4;fFIZNTUmPivqP~{%xD{&{(k^7tW>4CoJejgOc?$bh z(ZKJ34YQ+CUY!rm3Q!fOG?WXiuPJX97^edvPE_!u3_Ey6uao?Z(NZU%EAD1o0N;>XQ`jJE z0h>|qBYf*JCUlQ_L1X*T7Rs>(R1cb;DvqWWH5iBk?3I0x=(V-ND_8ruT!D-8MmZE6 zOan+&uYgBm9|9KFc1_3|?MeBj*c>1<^BCUDyy6wUgyY{&XZA z+n5f{yhyhvFSb_$R4Dpk==)r)BXc)k?tom_U`SHlk3PrF7Zx{|z+mIq(R^~X;CRhZ zs^dL*VfOORVpa5W$cYE82{>aTfQjLa6P=_BY9jlX;205oj{=5V^f`c56*XXBJp^Co zD~cP06_$u#CU{muIY|^0_kR{+CbU8J6yIDuSQck8A(JaU+g?o@5Q#xFrzenq9DsjBD{p)5{GLEft*$j#j-m7rf~kX2^_nt`pe;{lNS~*_DXZ zF!f>6@hkls=O6mB5{dZQhcuh);TCZ61fjX`3Jk_}5v%h8I9Rl@hvZ?qkr2^&o?)qj zcJ~V0M=7)>6VRu+u43!<+VR>+m*M7Pr4jgsPMS@|oMNyjiD@=4EY;=cjAReE9N1xWwZ<$deE$H3gTr>cdQ$yS)%P?@2>25-J`!7 z!CC|UTdw+gG`#lfA2|JY=ihRlSd)W|@P^WDK@h~lE&odYI%&miu38G11Zj;oQtJ=f zD$96=4hK{HWw@Bj(&qNE<{y$(-lG`2#Z|CnhBkG)QqUe`WyrT6=9&8VQIq|Svm&SX z6=Dw&nQ)7;(30HSqyJi|#i*JTXvQ-9I~sc4BAlK67oH0`6=@dXfmAK4P%SdUyEjsJ z>S|0^iRVvfg}Hpd%odHOtz-U5+oN zvI#wx@w^H(Jg&Yb>=J%JDazv2mbDE~s3@GT)(LPk6QM)oPc=d(!E++^a^XU%ZeXbl zj>s6OA{KEKBzN6owN^i9Nf;kXV^gQlbpAzLqf1W@Yaok6mIWxg@T0BNqs9v!+B1_W zvxZA9vwozZYt6&1aTQHXT4iaxu2m8AoSN&mJ;;(Lp(D>pj6Ium;!&HnY4@*Ep8s~9tBN5MRS#` z(aTczHhq7JHVOS%odW&k4_g?jjv0RD(_ZwTzh|@lFg&1louc^~_Lax2y~uql598iX z!yZ&g==aiKdcSFI3=F-oVYO^RQ+L$UaS&t-?}R}>5M&jnAjJDJJYISv8<~Za-Iqy{ zq#0T2ovIG4FBMG*ugCoo!6REsf^dHwaXEj$tXRGmSA~5HA`iPwrc4=jGpC+pl`zua zl5C2na?r1=r?T|#jnKx+ar=}Ns!q7Nm6~tTlo{B9jnIPSv>D)aNW<1da-i}D{_Pc1 zXDa$=T*m!!Qc!=GG>D{R^3@!cc_--@%OQ*Vg(0y2Jvzs}&O_NRCYfVr%7$WRQ7QOO zk(BS-sarK0olS4UGbk}i4QsPTqmLV>4b0)%Yra{9?hB^*9&#ES?Qgu%A#Gp!17Zq4 z#+|7R(^in%g82HpvbKuT73w`;Y9PO)h2XnEr{j0h3Tx%rR{GobSaoFml3>xKL!pB; zQJ__gQE?0l>0>5{cVwonLJyX;RfQ`3$_%gE7$m8pP@TaSxictK-R~5od6|LIzL8>c zT<OA^DZkW>dH)pq zRR?R>OemM4Z4#-P1m_5!RmO~GOi{Y$VN>}979^YcX5V`D=p505KJYd)&nU^(N$5{2 zw)b}EzlmV2y2u@rGG~X%s1q-8!3Lw9=8JZj(bh&O_Roz%|M)0Ht1PhxVy_o(Tiv}RoYZ&KJ(2?T>oc)I3}MeoZFeN9&H-6F%YwhqaG^e9ojuTKV)oUAnZ z4Tt)}4hFeQ8dkduO1-G)lVVz{UI%SD2PPL8I^3D)dYIBi$n4E38fu&zrGviEI34PQ zFBchtKx#A^veFbLCu5vMRyD`C(8kcR91oUy6EfWRl#Xb8Miza6ft`*0X2H%gJd1{G z4D9z(8+J%5;R60>4Ae)PFv~EOm5V8de=Zu*%@$W(h6*{@ zXjgZ=Jd19|b3qSS;JY=qt&z>*SL^Au9ATAjCH$-d6^-WneJ{264JuaEXUso@;LQ(> zS;WlVoFW#Paujp+$L(aq6wQ$oN952TI|40{>VD!Fk9bLhnfRPGc2aT~x11ewS+_V! zr>NtwE8yS|uiOuz*VFQHPP` ziB#|@z{wK&UQ)Oh@u=`ojGKt|_>}cFQimiY{ z9#G+>GKHeZpt9|!bSP+IqqhMw$6;};g=u#Gela{G4Lc|{t!=9D(W>uqFwvn-yw;gT zU4exUilQh4pV3n2w^SyK7gK#Mi8eL~ecp&9MOa3wgVNj7`%bJ|=6=uib&De3oJFbT zuR!Wa&dPf?48FoHtRF<~(#E+2{Fp*MzT;AqYbRAEGy0#eV$FzR*$-B%M89dJ7Md2_ z=!L6quz0H_GUMd>Dr1SD3l&Ob%mtV6CpQdi>$E?!DHp2L!Xa7MkLCD9DaBp+`i9}O ztzmdMjVygk$gt+q#_MxW(LD64PSH9y;U}`V_o~#hvskOI#Lc=$`Y2;QE@y4+3n_*uc^FUKdJ8g%CMli^7U~|J>yE+%m zVw+wo(^_zAOZ+seCIUSxrsv*UjJ%AX#m1m}B{FnB2+1qVcttnJaEQ6W5d{U&y7y@p z`f*5xjbvhF?IN&4*rBZ|u2L)Hf6&lVA|hheWVxeWlyi#mybJZRKvxKY9MkeGiRRep z8wLsh0S1c?rSRf+Tv7yIBo<>c#HN)o6#VPu*mr}}LtVwc-)KwsGO(R_qa_j94Fdl% z*3+!A`!{&BclRF<)zOf-X08>_PG68kI;2%MZMaCY34a_-&#f}vb~ROv=N|4VUVNjC ze!WVU;49Zs6&{CA#~^uQ9wC9O$o~3D1Jtf%b0Ch_(UaakM-~&KSa(4 zyO;~X_#|abH0~P%!@L5Mu3coD$HQwwV8UtKMd@&(x40k}pKmZ)X-Qd%1qS^DB%u}e zF~DZnbWO%vnQ?ejk)D|ZF8A7Nw}Bm+#d*ETPyGuJ}{R_H*=P)A6i;Wvss^AIAL;{TYF-@srkVunH0V)Lv?jUUlviE)r86>PLAShK<-$ zz@D`pU&z7dWc9+=T7@>)hb%*he|yH`<5-gQ1KNFn*AZlISJgAyFA&iQcFAmqsq-dC z(V33CsZw~R%-tcmx4DBpP7~v*U2~cBJ_4PUllHx(mgA!w&T4}#lqa&C~|ytbTGz3TP6_0UUy*s?9PNxv?O%nsqe^V(lcM3WtoMGyRk zvJByux$gbF$BgAHQH10TAZs8#8mA3dA^Ir-E%TD{zP1E;sDG@mq+%PHV!o1SD>@#b(@z_wS{s-lg@y!h>w8#u84Ik$XUpI`wZ!sLi#&^0EV9$6 zA6>{Y;G4@a*a;X(_zr10K_Vg~lZj$ezSuak9jzZP&8W9C4Md>EX~$4q&1u9{`M4Da zlcrsFq#R?pRMKcRA;qH$g%YyF=%;aCO$JeFV%a6LDA{;`5_dF}MzHCy1wOYO1?d$c zXsCx`xoXJv0gj7Ja4=+zY!dfm(g?}$K{NQcDORdDTy9JaSdS}~<4`b|f;vmB#9R|@ zh1nrsg|K*2Tp?9>YQk+X3qwQctY1X8wu$ciqS%_@hisNxZ&uW<^7&I1<5Pt_wDtq& zK$XF5OTB2^X?Cm37;tM7ex@A$bu)!H?Y1oH$BWdRD)7GZhGo=!%B$wIZB@F^OI^lG zekRXrL-a`LqwiA4=TEb(^;@qSN}LRTa@anbB_+>f(}Gs+JP_N-uKRH^rVtK}`J4k?bT?D06{*17+L zX?L*5M;kl&;NBG8^=oZ4ce;$vAIc=>?{1d7ayGn-%_vK`DWgSoDy-^mZ=%#jP-8UD zp2~R1HL@szRK8b>jV!P46)WPq6g;uQ7Q>|U%uSH(HZ6VpFqj0{h836T=emp(AHDx6 zimRTp9;)s-QhY0feQUF1zO#Pd5X++f_-6FNcUsoEJZzSjy)Py1*&H681Lbuc5nADM zl)}5R9v>-te;0hDm0fJIZl!@~P)@(qb!477Z-Sxpa_^7gz)bE+bkk;Zdm+{xAp~1z z;38>i%~g?A>K8{%Po=32nghAK1FfPWR%&_gxkSunj>%nk~;W`JBx6@19cAdC=g6-)R!drkemE>X`Zs8^;orYP%o zcHu$S4fxqjxF`|}mEt?9gax{CNk*rU{|8LG0vET7tgDQNT@2*AA#7^7!d0{Vt_%m` zZef+$=%aF%O4bZQxoR2*3j&Wn+8|p@aT>QAhN@*kYP+#7rttqA*-!w>T)XO)cwOOVMo6-BZrdO?Sj;VGtsuu!t=9(d$Xd;y3 zmp9==bLgZgKn&TN&Nu6zDh!TbA;T*rp;JBzo!(2x@2Zn+x$X%EJkQwH{;Us=;vz>iLkx@H~p+2Y?%vuFIux(d7v!?S$N zk+LbjV&6IbPC36^M%~@{*rI-`OTr4);ijeF-`9!nFHd9t$brLx+3pOohD|isAMF%n zw~~&U8u$g}qlf0@veZN3>B|iY_UgRO;tf;ki?6PbL7tk8lMXGF1`_|)CFP#t;j^d0 zuET*Vpr20-QMr4Uq5cz)*ci3E7m#gcS?#Nh9HsWz{|d5yE}EzIHwG6 zJkTY}UQa+5uR!04_q%L>WBZwbnx2qf)%)ExKrgSbLN(9GzhcP|^+i+a373}3ViKeu zv(-B;SHynF#@}4#+RAh*>*JGEZBIR!z^`=Pe zM7};dQnIPFvbP~pf5M}S*13l@pM%%a!IeKbT)OBl+FzBue@AN1&X>h(<)r;}{<&n+ zw0ZPJaCV33M5Okc2K`@=I@n(MN2I#SvuopRB`=DL)WW4C^=HAUHpqk zI1_?6YL9P|G0Vbtgax0E@SW1SJkK}mzDRYH$5Z0oYIbxao69MDS3Lg#A--@V$XU|j zU-oS$`*@^o@0n=cqezs!3j}})hp7u+ijq0TFDzAGgL9pO>IaS~=_IDhNGcpzD3oGP zf_{PdmAu?wxK+xUv*eG2;~hulE)K!JkCec#XMU0t|DgXIol#Xde0_ch`_8c*&#v3O zGjSV^@iu^bIm`=%LoJgyEc)VY^b670M}Dfu$ApTGwAzyf_*Eq@JW{S${1+_TgQAg= zRK67RUGx{!IuqY1jygF^Tr3mL=b%2eEDPi-j!ynl2O4~!8uJ8!;KGq4XH{UNPO%A) zh`&T*YVc(WN89^_Om`ttEn4skFjZ1B;r*R#-O28BQ6)ymgzQZIVt1f6lDxE%_=|Xx z6x*@jrQ&;z8t<&cgeQkH4p!r&OlX`bki#azOa8(OJ52P#cM$O8#1u2ULz-cFB+byj zsDxpUr{LW)I*6L4iXo4B8sycbbMJ>;@c2#~Ds0o8=+MV44uSVas=40vgrJkdZx;Om zJ>G*I;OJ9NcEkIVS-9s%ybMHTy)WUG96h1%9R>WAJydQ@)WSA}r&7YFnGvAA;)lLb z+IvN9uaXvtQaic)4r~rGc5}-CV>t70aGWz8<$t=h6>MOBX&-i;V?5(yn#E`T-I1|6 zm$i`-2ZW%MPDOHiiJx|%nb5-xCt$?cwcvjAMa!GhUbyB_H>GSU{M4Wvt>ZZN#>svkKe#1& zyNfE&dgvI%5`;8#mfx zW3)#!ZK?FFAjs$Kg`yE1u%(MeqvxVcj)tUb zxP@VjGEli6fwQnlayaMUO?-2Ng5qr)$h1_Z=J@!Z2>$>RaF25}=gi*-x0ru~en48x zTdZ3gq^y?wvdQJT*yYmWr=VSf7p9e?RQqtx{^_mv^1DCbiv_0R{HN0emeoDVHoEuk;raqR)w z0a*b#pp9iVc=I+M^=waA&VIY6{`P1w0vAdnTvKOEWx`g_+dUBPa5A#cYnq(;F+gqET)(Q;UC zI;oUaHY=nDP%L1k&w^b7K z94`Wwap|fF_+EJ(o{M~n9^*KF{||5AJ4%{u9HG~&*RI#9*ReO-Q1kL7{wXqbtj4YG zakowZXq@LSi|g-_*}4}YMB`3~->ps^uObNWFNP@=XytYFkB+LM9O`6t$=wn81Z0s( z_&lWeKeqX1m0qU(D>W5iy3kI4@lx^XE{puY(pW1_2VcMh6!iB-T#)(TdBQB@{B^a; z$KW6(U55WmDT{mcKt%r*pJZ}Yt=N?e&yA9Z4tI*O{4$3^LfB;-i4b(I_9z-k_`0ds z8h^fp+!GcUVFT@dOhK_<7=PS7O!1j+rNIAOB{4BVaNOBXgdhZW= z@VsDyX$O4~X2a3{u;@YW4CQVP`es)r6!@VgtHxUk%ntCfF-VUP7~Br#$TAT<8MVAg z*`o;~E-+*~+sRQCWfprCLQkX;$v~t;cQhI=0c#pq^1=^j$RS{1xfYElMan}7Xm&LI znM)8?MM~tqbm(iHjo#u5fJ}J22dA%q!T&rD@k4kWCcg-1Pc>XzPFZ4LrdgoBcbLjN z3w7XE&%sCnE}tu)^XUQw|KWza{JU4x{SkyMFDdR165cb7XUi%)ZWfO#`u;sS$ve$w zjnUm*HLx{=uIgj+8-%*@0E+;dfMw`cmjhOyk1ki3RajLlH+7yJit>71VO?QaVVe-a z^1PhzXEl6&C%gG?YkNl4U-#PWvkZlHZS-=_zywFs;{zMeCTXhji0#e>=2FABzGE$--{a? zVB)ZXkdb*6_1&|V0yw50-eZo-$SVYjto*F}_BUL zxor4FyKk)Af!}ML{w>kR(#OrmLEdsV1siy7;JLVCsvpog7h;-46V)#K^mQZfC5+f65#42i@-0h`rT@P)J)dgI*jy`n`w>2g0 zLbu-?Sy*#jQE{YPk_(ZWgoOIc>&A`a)275K^?GU|9;9}0$$j?Z15c}Y10R3p8A+uci>Gf++VJvRYi=&KYWDNO7Dni-uf={ z9_yalcPQG+K{xNvoDN*#M&6`59?VX=@G?a7^c0kY)R@&+)mYTn)GRaIZGZK`puZBX zaTXVe*WG2|FFmz~voc~5gJO-MH{I$E%QPyY`!j`?7LS4eyu*;~5Wz3gV6&WP<>%;U z;b+exj7be3_pU9Qs4@%Oon%&FyQ`0=!LQ+oF*&qsV$*1%jc{yyHwoL7!g2>3sK%rfV- z2aj@>!+Bcn3fLUv8;K7rQuM-d~PD@hH0c_+bQf&EB5pWZ-XW6ivS)x`~rOWW9qILA>{fzU{&3B;=vn3RQsS|rhU@t=M@$ehf{k0j-VEp{@z)y zxhXVjvum?zJBe%^PpPUh{`|B{|7a+(m)dZ#v9OMkyELF*(qI6R7XQeOH^s~wym6?t%Wt&B?7S9ZwS9uB0IZCWJT@U|oOJpv)~py~G#GMSSZOY_w37zF;@>m1 zfy=p8_+KE3ZvUa`3V5to6<_Zq{zb{Pu3sXn%3;cub8T^uR~P4rL7lwOw#F@S(zsrS~KCcJZ2Dm=a;od{i~a2&E2I-z|4+`9Vw zDs{)Rt|M}5z&XJL4ewZwuuHNQdQLDStTZiaO}$xVTxg|tPSLW`gT40{>Ktb2jD>loqI&34Lg?qhJwN0GTk; zJ=^{MOT78U2sG|PX?AH=X^tp01t%w_^pcOFAQ2^CXHrtM==+5+6dKFfNaE9`!rblQ zbQUVbR7{{8J~*him!_gRMKm!bZY14Kt#$$4@%R=L)MM3vmD!X(^a?3N5McF$^njuUDOsNpcd?1*`H;^X< zF9`;Fy5WL+Q-AtP*h)#YTW7V-ah=6F`*k+!hTez$mRaU{(f*7_U(b$fmwk$Rhd<3X}qc8n3c4;V;Kx9JYIF zd$Qu(w}0Nrsl1P*(U#Z*sjBg{E?m!hOZ#gg>dxMzTOV}7m$bjiewFnqCp0rOJ2Wda z{Q(3B8*MVH_Q(VHP533)PpKG($CZ((Y3XU0aWae6B)1(>?EUP6guM|7l*In`>K`lf zh4?XwqbhF&F$?hzzf>H3lj!6(@E$vvOKy9H73Gu1kPtmJk8B+_F$`45FiZW@qvXfW zQ1-|7tf$LZN#Q7yOi;bcac6|E9WIl=s{mkOwRd-enXomub?T?Z%+M&RQSGK-pBBz;igm(iVmuIZ znpY_C#%C;SoDt?j;A7z`jR`Mc;yJiiXHEAr^-X6?-Upjw-nTGt1nYyX>n7GYX%FP{ z8lPbwo6>5->S?L|aQHFUT|3m62G)2nG~O@;w19UROzM1w5!K0lMd@k0b>E^T;E_gm zs1tc$FWk1ABH0TGSHNcIRLz*+1)eXWUK)9;&gKI>n=ZhYXhOx{3{o~SN}-kw30F{c z5|?hs5f3OE>H+LXSUm-3Pg$n8wKoz2g%PF&T* z9o&!4Hoj!f-opKZE0pXzMtjqvj&1Bw#O~XLZsWDBIWV}frANKN9n;=q0Yxrx1rpR? zD2#^O2A@s9o{oo?YCzr1224mJ42~o`a3tZ59!W9{Aq}wGhtL&@Y;EmS_+Wc&PI_i~ zc6wHN4mgiw8?%g@UUOcXDB?N6f-s^zvZ$#?B=WL1>iCV!kD|oEg$+Ge;Zc01a*xsj zDPCndbdyLZ6U&d3N#*GLaU&&yjZ73h4bV(|2=!UUN0H-mp_Op>4s<(O+l4c(sK$u|Kt$;AV*!&QVGRz^lumbLL2+VTDe=eFFCFD zdO96&s^V;bz<>fX5abni=C za-{LaXA~8{fFtqa88lUzCHptXJ$Z@z(ZQ%~~d{X~Hsh*YfxCr0BcIKw(++gWOZ9t8MRKKt#= zxjCu9D)DTgmvE{uR2YZlNePEiFBW}chGnLMNmNzEYbvUPQ$mKC)wR&3U1G&tJ5Kz5 zmeL?W$l*kFTTBN$Z#|U-fWB_M82@4y8=CtQ#Y^m^w$CM}=|R!Ad}!X2D(xu>@Pv#+ z6Y=010y=ifk$04u|3nMze`JyYvM+5{szxck(1|~Cqil@tTK(q$EalJ5?O!c#&ewHE zygIsX-SAb~;rq0?ZQz}&J7#{ZZGWF%^Aq#%21^~Z;Wys>lSS;z^YQC|lQL&gZja&G z2?JccE%B$NKk)Yo{|^4l=NC%~Bo)F(OMj36HbGLxC}9*a$|U)cVo9N-6a@D3jr)by zm;PV`33+4baD3lbWGrKVv_7Md0ay=pp}JIEpe|7tsmqx8%wlFCvy@rDEMXQg%K&;; z4A{F;S%IuXRwOGEnCs){Es5+ql_*_ zZy@XV8J&$@MmLJq9o8MyqZ`u1^lZ}7yBTaJ_Gq>zdo0_P9mpQV4rjZt$FRNGrX2OvKh zngm5!KlmSFL@r`&G8Sp+&|krGfAxtE-*5q_Qq{y5j-LZ61iyC(*duiauNiDmeIP%Q zg_o3<8L6AVky(NMSNw=Gz69fYf^$>X#as>YVDI>XjOr>XsUm>YEyoN=pq$^+^p&^+*j# zrKd8w$MSk^q8rg?Xad?ef|t0c%=qy|$oFLpJ^cN-xXA5@<_mro7^j`LDKub&&ZUy7yI^q8XiLM!G)=fet>72>qUBX0Z4%E5OPSj3R$Il zfIQGeBhk7m$Q4}%lA$vprb#su4)*zg9_*vrhwRg>KvwAPAa``rk?FeniIEq1DS+zX z)A)cFx_$FxGn`r(LF_;>f(|35yv7I$sJKDJP;3E8B(U>B3xY?(x!_- zqI7jgoh}VY(+wa4x)3BpSB+Hb{<4A6#RC%1m4YxBUAlLh9tg9U=%DU4a$7eQnW{U7 z#3)xaKTtksdZ2pH4B)b+XjOFc73GztD=I;;))fvF`>=9bnjHfv!-EyDRkZ(bRT9u# zomFKlMhu%os`+ zUt84Dte7D8m(P}a$*0Og<#BR1`DCz|pC|W~&y+{V6XZ1cBzb^5TJ9sCE)SE(%RS^# z@(`T zFip#Z`|Uefi`aYWPHr5yd+A)jv#Sk?V%G_g(3YJ1WRsuaCdqgs&7OuaBjS z*y~>|kqk`I_bwVpeW@TY5L*_PlTa_!LCqqWmMR1!!LgkNiIUgzE^*3h(*i;v4T&CF zhiw=6k!*H|q>W@N2YP)_`Z+L(0p@}PVMqn~a>3zEjh_6E#a?6_>86u90o+9!kG(E$4GH~}gl5(c}wFiK1Fu&*cEkP^P1hqoTeI#_? zA-oiXk<%?u^Kfc!`p|me4t$#2FEvD#wfkgTv;A8++vbkV6E4A@{DNW|%3>yJ$HMHH zEI0;<`2qI&tA_T_@ncl5+^u^I93&{w0%4?KrH>4bN9Xq$K_V5(>fLcp>nGq5xoGaW z;ViKtK+Nb4g*h`>6dj@8hXED=c^X?u5a~ZEivnd?8izCe_$E1n^fX!8JPt6*>0gp6 z?7%N5VNJqkzp3h7@`5u8a$!_*_Har#6;(>fCdEPQ%1c2Y`zJgD8*2x!#X|865-0WXxk;2FSk zp3#iUiDBl3-W>vsHCB(3FscyZ7zEamjAHuAQjK*qp46W^3JPcJrAw&*Ed33yho|H9 zPC84CV*h|&!KR4jf}+1|h&rlyu-6R~6b~7y)>CuXmADWO0+q#+hlXp5&mqT=3)pTD z4GMsKp!m>8I14>@8?~P(;z7e|N-^(Yaddc=DZ&I8G+3b2<*KLkJJx|CoM-A2W zY$EE0{QD#-?hjD#aKKn11+VGbVvTLs=LUELPZ>sJWG&4D4_xssA!eKJFIg%E&x-?! zkQBlN@E*7X{)7TgOCMkodUcMcH?Z6x6ubKlV8X)jy#C|+)RQP@HYYNb^N)V-pj@dR zNr}$qojvoe(?`~5w_w#TjnhSO7Vx|rqTJs}C)yq`!3XopWNqM%pB1BHRhYX$&=R9N zJ|saULws~5wpIjsx``?kv}Gaj=U^WyLR&!7QQ4|A?F;XW6{5=Y7+A4&MTT(gE3CenE0Gzz)!#_Mldei!Iv@$}0Fb@nP5|0SDt# zcRr~>d~fsj@wp2B?pS|?cEbpUguic(Q62vQFg9(1R)H!7nfU^m-n|!WC0+@);eK*o zag;bj9Mc^vXv1F(<=)cn%NnosH!daF@{EZh#h+E2g@nh@2f}200+5AH+H#PD0G;V_ zNcV9OL(U`^t&Yh}gOtCVWAQ*}=Qy5>kHwzk6k8kGb{h~@2f^U9l3b2YeFHi)nudbG z37cXEZD&RCK-MUdWeY(sWBafb*c~iZ#3H@f&d_0k*AjJ5vL8+)GezFEVd<%1gx5NU z%@r*mKOiI7G|4efqih}aaw#UB?*VcABPG9KEIX91jsm^;0NBE{wNqfauyC3~K7;%f z0K|b-5=`_=U$u_^1Le(MDRv_>C(1dnD*62;b=4Z|TLZKY2u3}FpmG*fiN9+(rAvjP zzh;V$iZw z6jF8@bm)HslkLDcI>@PzOkfO|u6#a6M79jMa-bDGTZQklqHCIl{gUmth#6l~Bm!EA z?N4FNS3+vw<}h>4Y;YN9+c%Gxa zD(1t|Hfo%Ff<<;y)*Pm*cmXAdX%5(bWPbWl!%FJTr=bZ)yd7;rOQ-!TX?bufttt8t=p47wZeBU4t{hMfJ3f*T;=!b| z4Y>%xFO@o$Sr~G2pYA5GLENyCb13#>%ZfAiDB@bi;C*4JfnUr&u>gW2^-Qk*%B z#jy;zpEIfJG6uJyrP!}nrdd!N^EC;OiN{n0_K6wHl4tD7hGu+7I#wr7FfGEBam)keZ)c%#tcO~lYjEKit*i*aW=r#x$dc6b_p2fVG) z5r6m??~3wJ1=cL&*g1vPD2@~3L-A-fFy1(Ohp7P2O>{h@c?gWLkF^glPdrrg9yx>U z&8Xm%fmfJ#C030O_INdh3;m%zc4lwyXFAh1&{u3;SUt8>G=?1t`GOI)Nd%yY|7bEf zg30-$ANw!~g7|%4Q8kG}lk8D9rS*bY?*%7BQUKVWPZ1GAsGPxZzsw1;NqZ*$2X6SG*_0N5zmD;r~J(Kl7*MprU|>Iw1eS$ zUy~?Po)}1qvp>Oq2md(S|4KA_nv7Mzky@q`CHI2%IkL)Jk1vq>caMc5VduZP-_7H? zyFuOk?&;ox02W!gNx>x31N$AiD)26c zJ>J^{C@BoUWaJbQz$olMMk%L&-X>|0G)XF(9NS#Uj|2O;J?ccAEuy5VvT1nDiD%;_ zQ{-@K4>NHSRgG3lFOjh#QQ&JT2-GQ_#-8mx$ZLuMKO9i+fFa>cCI3P}v05f}WXel8NLxznrGiTcpj(}u1rW&+s?yj>DXA8) z!;z*_4ir9}P7+uFU?@g&0!wW05QH{kFy@a>5s%_TmY7Z|d5JocHBh|3dr+c!03&L^ z|NA6V0vM;J6pWC)=RS|+1H93;UAUX&QFF-t8~SIT3CX@a&};(InhXq+hLEOzEgxLq zd>gZ6#T;nZiMWG=BvD_=XV_Mt-(zR6Etk>3r(iMH4~NS>Bt8;u>6aBI-;^mq(bEN~ zMWRpekKQKx$UY(J(UFm#khKmT66EujC?<$!iX*zG0HduHvzS54n;p#73Yw0$G!5`q z$wMv2dt-VVkeQG9EAX{%K+^+kTw{db6B4W;Z1F=kZfPrqsU)z5Ky&|qJmiyX{~Q(Z zMF7G(Y>R9fA@Cj=_gI?%fOl3K0>uWWN(hvDR?A?F_EA#{MWcyfxQsj0rl`v@>=owJ=O&F z%B@YkSpfT@qJ?%k7X7Gdh?4B-1;r!i5(umy-W(fR%{sw+Hzw9Weyk|l2H|)8cZ$FQ zLT5Y22lU8aZO9B9%qafwZeTPslwQRj7P#hM!|TsKz_LBZ3s@td9SO7LF5Obp`lq5wCmcQWUeK0?txG$- z#Y0y#G~po>2!cAj*r#urdnjU%vZyKNQ~uF9aKv(a%klTPfB$(>^qecD$NqW?J+sJn z`8eO`=;*CSj~zR+Xm<3rT{n2o*t|a+9{0qLH}W%LVq&Vw&%b`u8q+F|JNRfRHTbLG zJ#H9id_?` zq+f>lbDXJFeSBB37xw&Y?3SgX$n(4oNg=q?TMF^#+^ zbBLMKDkJ=1|nDcUbw-OL| znP189AU3uHi?fq<{#pLmn#loo&5?a2wl5v$nUykes~ey7u&s>YC2BN!)p8EX#FGVP)BpOX#zp1MV??`d7xz)m>-}pETJb(T4z2cjn^205YPr>h* ze|%$+A8}807p~)L)!!pbdSlS&WV1!F)+IGmv}P86O?$F$&UuI3wzgSgTJr$>=R<6B z7z7b!nNOZ&w8okV`-&1E-`WO$Lzu$=UcZmIDZ1Msi!(RmlSlL#Z~JXM8TjzhL4JmW9mS*s%@aOmi?r6+DbAij2og3+{PdGnD!{0Gp7RiGFyP(dc@*fX~;u6(F2xu7CA{926RoH?|Ll z@^cM*8sgh2^G91dG%XK^7`N_GqPw*+w|>EkbNmaRYRBa~5gM{m+BNqc5Lc~cJTt$h zvOK<)pN3{RcL!OXO08SuSv7dzVhuy*c za}2o1NJoi1c6b)0Jxh65GB*&+P`f_ag|E5D%ucm^+8cH zk(!jO-8bA8Z0cGH)T>wW7pb?kTfO=nAftZqwK2o&a53e15&Q|%Hbi?ZN31C6HY%wE z1GJE+x>!>t+0dxv+%Tw_;A&Qnwu8ztg918~D;a{q1yqrkx^B8|d;1$PS?y?=q=S;On z6)F0V6$SPmm8+b2zQop_Yv5nb@_>wX#-m1Mu-z^fA3Gok-3f;OUk$wZ^#e2Gd%}-K z)vckv2UYIt#r>CaQimauhXY*7Wv!Jzn((RRZ>l$L^{>~$drvFI8urnc&UuqBbXR}2 zR(t3EEhbGq1G`fTWw)m|?_5?-uKBw`u%+IVe0c%1=3(*@%CJ_w*;jvIkA3}Gb@C3g ztcc7^;;YZ|EuAuF^Sq_vN%f9zwp&Coi^QwU0(TO`Z8v2?Gn2Hx8?5z@^cr{Dj@f)5 zGYSa<>hJc*i6S{X;#IKwc8iPYl$HeA%Cwxi0BevY; zw=MxHD`2Q_t_m7ORHay~uIM3zv&CYqtvd*{8pP_;R9t&jw}Jh^=Xo5a3;dNu#J_51 zZ&*aG(KnXb2iL0Gd|P6YARkM^g?m|T2HUl5nccZ-3Avz)@>olVzUfkP*IKEuBHquh zsdMjs^-_D9o(ji&5HQLGp&F1JceS&BHK^0{);IvG5!Ik{-5OYNH78PW`8q5BCC=WZ zKK%*Eg^V^+g*d;~8dL8eo*A+MG7A+_%z6^vk*TFlk^FiwT%e$o0@ONu=((#P1z1!Q zwANh;Cx|mD+W^f#E~`R3h~C7T=O*?DYsBIfF6D~w^e^x|tVS)6Mu0%}w~p#j_8(}x zA=t8&j9STPL3FW8Mz3O2M!Tq8SsA0RQ0XTomuK^vcRm{5PnPy>FL%rqcfnUofpRU6W(pV zCh01p z_x1czp)T$PYXH~AA{rR&`x)M%vF1@+*uS8gI(UoWmLR2BdS|wq=J(7lcn!_KfIXrW zqC6*U%R)lvf&FcvH6~QFDxc^3P`0(eZu;)jz^epvF2nRmnS$OSa5to#7Oy=eZcikJ zSwpRSp>-ZZDQhX8yKZPSL zVF$pyg&1e;D3OmD%>Gvw63;4ayPdRq>>HI?QZfCFbt1$tzXo^WBRtJ4Xsq6`b5@6O zRoQ4pE6zP-1j~Og=fo|F9Tg>3kID2W#g6tKi zp>qdb!*k!e1*G_xc&De z0k+@r2j-uT0U~6gWgyxBiKQa9{r2RJDf|giGHCvJxIBqGooG#I{|4?!w5=FRIF>JO zIkW#QbH^`={hcs$WZrohD82nAad7(B3$ky1QT&huO$$rluL0G*gM{;>M19zE*`^<1 zaItoMqHP;ZMw4IMlPzf8nSfX-?rD|!+y@+w6hZjUI8~ioM`RTegiuv8lNtdT8j2RqR+oxH6f8;e7jmbOKNGZ zcvLkjhn+Ys4^Er_{n9BGgj#xcNQu_57Z}@q(Z))}`(vI!E^neHQlN17`_7W>yCkdj z8;*VZi+CKGRdLTzlLTpFe&;;X+Z@U%+EG$d``q=MJ7*ZIkI|e}WG7nga!HpK zpNf0%t+UX+gK*0?@R>wy{g%YR>aZ@jNiUiX>YLA54?p<^o|ia~vTZfBK$@codj&gV ziBe)dP$iC6yb;V^4+mlMrJ|=5Z?&6tb)Qsbg<8^L(1b*XahY7Lw>_cbPAI*CG_Cfi zu;<>=i^?kAM9f~GPLi4!(T0JYQq##eRD#fy-1UYMg zR+8u-w){v5q#|mph2ruOfrOEp-#^ zYrcPI{JpZKY}#3w;Vh$T7B3U+N`I*R>8#96epPCf`k~j4$|6xaB5)#n3t|@MZ8i&B z+mWms8@8azER2z)H`cxZfi5Q)=G%t#)PD$fx)gS1!V6Q$p ztE?unvb(zGmht&nxDi~hprZ<MlM|LkF-a`&WB&b(~KeMiGkMXq`CsGL> z97;;<0)NsZ&g3yf@?1}*O@jQ;-w;U|X)0hkDMp)^-#?^op5+(XM>grN^+c*OdH5{9 z1n;V}Uuo@hTne^p;tZM`RFJQzs1%ELe7_4m4kXT$a0@iO|BrsXt-CUN_joAE{Mv>3 zPOmM(8#@}*ooWeji-RBo5XvZ405gfkalxn9BQkbz+L9m_J8v;Hm21s-(n*}yX=a^R zM#Smkje3$9dtI`x^0n~?sqyxf_6#>$azvi&;wHr)&@J7u?-m%;GxhK*y+hOoCsAp3?T&rmeHXV@_fHf#D!eWf(5{^HU zCTtz zo~n`#P<*a&AgrBYU{cWbL*p+Rc5Y1I1z#@9(XL4-sLxq)(Xi+FdH&^tjJ7UY?`b{@ z8A_5k<&2rQvd=)Q7{&53PhLiSb(Z(qKzyPz*gkx59zM4rPxjfQl||&%PR_}C>(s`2 z>%5|R@~fqJ@9Xcr1iQ9E{O1mdFaF2I1V-G3XIU%tcS`U-m8Mht)b`_a!gRxs<*a9x z+q{3vN%fZU0So2^7GELUJg;OmcX=}L!E=Ln#S&g73B*CXoxHyVf zGfS`rT?001w`4kl;#(J4iTz0jzm1Sk7>CeMwEG?G{oq*ngyresHJ3^?$B)1M=i5r> z7q5d~taO|F@g=v(XX4N3M2?rH>{kP%hacyx)zaSn)3JHm8gIOJadv<6<-qr`fdgqD z|2&I5R^`u74Q#dI$b*!;a zF|m-gNj}Ct4gD4!_Ye-YFX)5Wg}tRi?r0(=D5SoA47odIB9}oV>Y8U|WNYuF*yUq+ z<;avxEdQbR3!)}<2kKX;z*X2uv75$1g`%`m-N*dHqxPp|FW^filH1X6bVU2;yW%uB zvzP!?)BA3?+CO{PFv|Wt&kD~mPeWzijX%|y);)V*T16Y$)&#G0jq>Y#Qd3j6!2iUQ z{ew+#zT0tWw<(29c4=BY@I2g z{efeL(6!F5*B_h`f7rq(v2b&982bwd*~K^D8m$Vtwt#}JkE7)EmJRtJ+6JpaHeN9P zP;c$rl00~$&~ov5j^g5PPt?$cS5#*5z;pMWXS*zT_hLnZD(irDW3nTI{?@9ZAE1`> zQMbBCRw)&b?63q{5{jq{3|`nsErz_rZsJ$pQr!!oeHQH^$Y>x%`DAAo`BQmzWpL|} zI$72B_8YX_s>pj%<5rH#r7D+7?@IT|O5yBNZLV!DZSEt$3$4u~$|=efI0$cdu@4Ea z^Oq+)lYG^2Xi}HHBQL=TWq3_DJuab< zpP}M3)Di8p1ZFHFmSbQdFId6Fd7!2`kIxAjGP6QT@@A)l1KTu^@=a)zeYA+_`vL8P z!L87pMc~xh#k{xXZQT!bM7Ca!bG|o=#iNKl(jm!$C$h8-Nxa?O>t=>jfO;5B%`?Yz zXcN=hXNf%=R)k)8Z-C1koG0x5{2ILD5^eXS*l)+?cI2@bE*;W*X`xhS^MBSwRO$?( z)?#Qz`u6nj^bP5(J_bnDr!P*QnCv(-HfK!BFlb}=Az90%O zb~8&pHbOh0N&$BHI6u&25-btH>LKHvC?@Afm_|Lx(?vN_lG)?0Je z=({$YEHhlZ2l+nMxN2N9?wa8!Jx${glWrlmdN%rBn|*Ch{eToG5FkFCp`WRosk)%N zpxU7X1jL3s@h@C<#1~rsKW_sfc2wiOdKvHf^(R%|fyZVg57c_}SX`}zkU*bz%DM~} zcQ|g?$t_MjzOMAe2}S+_&zEI|!&SK7ggHA7B1xY^bIr4n%gD})-7&oz^BQNVx=d_; z@{kgQ>^{}5ZaH3x*ELfC`sfWO8$dDnThuB{o!AJvT|S7vXRxwS_PZqJ!c_(t36El@9eLLb4%&!)Yc%(ifz}CBzn8 zAntf31en{ezMby#@=D>AKYoIC>;H-ZtFjO9Q}wp(&(!$UZkZdx?|4K8FP4vFfsrq- zvYC6AFgNvDX1`o9L3uCfhBH_|8iX}{|c?CO{OJ#XciLlc07}< zzXi|72lGdgc12Ysf zpA(gymLAfl3CfAlKdZIocRzS!GrGO@rPzo95ub%QX6MhL@#aNWyVXUt^hM$&we%&p zu7mqHN1V8r;TGu|S%hsqsE*b5>Nw8!r6~iO#=Hdh(qp@=bG04}&ML_l?*yhTgL23_ zZ@xM1>f5XjgprSq(^K<>K06Zl`?lv%zde3L&b*w-IWm!)gE1Q{Y<__#xd{sDkzLK~ z9?q9jBTp+*fqa78Mbuz9mf|qQ8J>AlJFdPq?$(1zMRj9)9(?KPBP$c6%$c~gz*FW zhy#=gb*(~jirPMCv$+jHZj?J2F+}B)Q9Y6}u`{@AD@aifE^E2r>bQeUzh#_e-gfog z0H;G%1QKme>_q2GeZxUxgg#3Jlm+k{d2}$IJdtoa7)6qNFh51>)j+cdnJ<<(IjWK5 zt8b}aFANO&zSI_KhikMy#>As?MmPQ8^0e}GRj=NW8S*yran>)CvpxynF+?;0n z?s?p!e}L%8;Nn!zoK0Lc&;N0VTL>-0quQz3wc4fHy?UqFlC@6%Jp2`u&2{iqokYF< zo4msaKXeF0LksH*>Wj9;=G1IkEOWc)d$IQ$ac0EHx}3^x$`Ww_cE-adiYKLSP6yaR zdUW4|@EjlRK>g&GDJsRhYZbs4nrQ~1P{gnDkruSrK22y&NIGCW(zDX(+yPmX8N@;3 zpGe-B9u$cNu-F4QJJg@C$-- z0N|VRnCT&NlDW!UWbQI&nHwnE?jdjzxC*}C#hxE;C+*Q(YuY~Pz+eW~0e5w3qMwEn z_>TBT+F|jdM0lgtxJaB^Yb;V|I|tgFxdVgaaeCYn323zA$s~OnLb;ilsy0=Wl3xJ3 zgMr9J;x2IpIUJyUfkkt!o)epsDlR70p>bS?>5$Z6ihc<>QwBZpCd{k_U_%QPV9(|b z*j#!DH!@7*4?-z`oEhYoi0^iaNg4q#1?>GE?f1X%8~niwgcqeUFqTC^Fv&Y4Zz8dzSw*>=zfFAfhQcU}^2=nJ6_^)_>y&BYx7 zwkK4J;%(F(hRr^sWqIDKv^gy+{8s9?-B}Y>z8K8@s6=?~vUps}3ZIo8E9v(TE}L3% zqEjRO$|bE73Qk{}KL6pNh#WtCT?_~8H#XV>pR!yt+NJcXi(-zB$vBR~=1rV5pm0hZN%6Y0^ zmA|Som6M0(_t+LxzEF&Vh7wLBM)6msUd@n}2`sArIv->f0k zW{YjX9Sz|KwA@X^^;|#JzQB(cAya6~2L&+1m!6KeN zkTuh=(Zc~I;D3zNqGvFeeYtr6w)+B(kkc%$03EQ~c2FxT6*e$zwol8g*aCWPUINc? zsauRXql-{bxMgrw52HXFXrIk@fP#c8e$E2S-LUG^67NL>zKQoG_RCD>3K>B>(vV`n zKj5?;%9HKG9vCF4ViEM#A|hNUei9|PL_O0C3^GtEU=WPiDh-Ld5dw4>I+<^5zSAN5 zf~fD1Z6cskd~oTY8_nc=XMdtjQQRBY@iXKxWNe}$abq)8ATw$sM|hlCP67E)Lx|jo zIGn$b(r9c#FObxmhxuYNL5;u!jD}5$jXj~Wr8sxJ%I`NW%u+=@rt5K6mjzWxqdDI$ zbVSTNWzbh z%tGXd2n8yW)3x!}MjNJ%YW#4aRXW8yyn1YOH84Xvh!5PT`_6KTEB`z4J<4Qs3}m?J zgOYe>JXeluJxp6*1ov8kY-@_3%)VsW(6{e~ZQ4bjiy<9^jNa&cZNjzTC8XE2sn^zx z|2wBvt(_V0hj#SS_wTb?RFq$uMsJ-EX)bS5QFnRew2mUlmXZwg1HS>}%KQ^W>i%@U zw;!-58%SaI~$KvwyRanIn-5(k;!vqGihmfDd{KkFy{GW}uYVbvON zH-Kzvg$+@q{w6NuLAu(p$~Ae9n5~HYq6ppsyQDgJZ5!j8o9u9F7~u$x}1)lJD*r6~^@# z%jqpU)~V8^^4qPDbWxRGrE}%h7q;>(FKqjK9kIwYM2KLBD^iRsMOtn}?Kv|r;oKS1 z!BOPxna|+Bj#cXyQ0Gq7mDaT0w^nc6B=I{DNrujNM!gdy@44Lj_C{xq!zp|U3D@SqD9!$@J99`A0fXZ(~$GPBmDMk-Ssn$bq` z8C1dSYhZZjiTV33#kkFl@1F%nCiC7Mnf$VgTEA{V)rC!3_dkQlSEm}vx}9^l=_7lP z^yC#*+3_JRc=)@aG@pO6weh*X^G^jQzLU)14=UNqxxb3>@$3fRIR#{3fE`MOyHSLsXdrZ z%wNow?umM^lvA#l`AR!y1)n~njPOQ3dI)>lzkS%?E)RY?s2n_~bzfm@s5nw%`~=l* z*Aeg;t0NeEIUNkJAo;WVq%mI+Fq8$b)^1w250!VMn{w1LE`e`7+&5^45Cx z3=#kJR!VVc7YF|37e?F6lXU@~Q`4uLBlzz@zQlVylEp+F=xloJ`0fV8IOCPZ+5rKA zi@ndHUT0^KUUoHLWkIky1{;=Dl_U?%M%{)p)v6FxwX#~3tV}*=oTsNg&r$rvytyfS z6-8Lq%#+64OE6vh#S8FCGwF$s#ar&%a=eLSX9k|fnM01err;y@tScVFF7Q>esS6y4 ztbZcOI#Oe`9;pFG*_5ZBSjV_`G$2e-+S&pEUjUbiE2_w(MoM_INH z1+LJq>zR6_<4WtQ8MSHUb)PR*kL6u1u9;f%rB^}*>*ko8--UZ8n^zA%@LccIBgJ_u z&2zzD9`nM6ANIlU!}3@+zklY_a&;S*wMd_dWa=!4WfDu5u)^%_ANe+{DNGgCd>pUm zLwSdWzf06U@LhP1No{e>MDXcWrWSs!&HP{1E5dbNZStkEF}h9gH2FCB0=c{VeR;4b zx5b%lj_|LU_5Ni0Jx@B2Y;R0rZTk2_a{~AotW8#xwVAG@CkkWP;d{|b&{(mnI8Z!F z94>Ydj}d!|$BEs=!D2sgB+&i*f$tXzPW^(!zL6HU56pipi~a&M zPBZX0_oE-9?dS~jXLLLI5*(_Y0LQ9-0!CR5YQ))c+{qbuoG?b1g_+P0Bmqg#F`M{> z@F>WQoQBWC2GJO#5fLVR%BKENd!Ll{Isf+$PTdkZxf&1+1Jp*-i(~8dMA-qoJe^o{S05 zB(xKqjb28zfU1C$RB=@mirPDh!81J!cJPY9>prd$&^9vIWAZ*KE+fvNThSM2D0&QC zhyEKvfR=zo?oD(udIsHsK1YMl!{{3H-!PH?L-N3Mv>x4tp7lCk8&wij6jcVy?P8#A zmjZXYq;4Nt9Cvq54ZEpX>@G|czAyY*7%W^XoG;uh^b`KqhKQGNIWU&~xAYLq7f7vP zx)_z9RObA zFT$3fWx6UQqlDvbbTWDxU5z6S3=~ef;>)pB=yLywn47lPZnMxY`p=ZL>f9Wl(d4S!U3E;g17L7HD6~KyS`LL$5 z!dUSv4^|W_gcSo^T_%gc;>exk1h&3}EKPF@-UuF$FOtS|@=! z>@N<$zs6>wDY^#L@#Yj|O4EM_lBB3onvG=*1q~$)MGgN6C(%`@z`0&iyehu=hVn)e zUK-1d%)j-yviO`2Zpkqa@f~{);1G0~~6EB>Dmy z4OpUDfcoiBfArvg28y-;L-5~hq5wP%W1@T=tm3M;&235mbe2^WQO;BV8#q5?2rj^u z0y=m(dK;aJ{(tD3|Bbyj0c+}78-KOKu{~`?ODk0r+S*DTfU0O@N{)4)7A3V*qfDs+ zB4Y{xLgsVoKoJ2gA|fQIBBqE*DgpsQvQMjkfFwd7fdrDukU&BbArl#Pa$~{ofBo+L z&i}d3|K8`h|K~fKhpe6TTYF~@?_TR&?^^qPS9O+{}}Gb zJFP$1`}6Xg=5&`>|38$Am0na@UVy8zjeoZMS@E-oXZ&Y=&zR5tFTSZVo@xK|PvvsZ z{5$e2@EUow%Ypq7muG14Q`A54zsb)6uj}3+d&-u{JRA{coq*oEb*O;1bjkC-B}+bV z{Xbt;E?MzsYPNa*nR+-D(r>@nx9@p|YrfD+%b$f@9}fPyKUd#)k@4^Jztt7^a^LQ+ zpP%rt#j}1P2arYid2unG%i8nh&%z6<|4X0$mHe_7e^=OwmvQNC=Nm;0z z?|uJA?hASU@I`_Dl>S%pi&?s`Mfs}>>HkcA%a<>d`?vfq`ER-WXZc-_h9yhbi}Lg0 zqP&pRm;XKl8S^*o)h+rsweC7ZCm*j3A{s}~j{Q1HEpO=PrKm7A+%OX$sk26~+b>aO5u3zL=-(JXn@ww-N z1^#rAKYAg^iv@OiF7P)N?}PQd7h5i*9$pLlkHzh`tbUn$f3(0gi#%>Yo&JwP&h-m? zXpvv~=s(b(D>EAw_?L^n|NEye^M@N3`0(QPhK(=tw|y5ldy#MOdznxAFL1{qKep{< zUbSt33m5r?oiFq2I~Mrsi^ta%^fFK1wZI{ZTnl}fX9X|tnZ^BoxaVbF3tiy7i~O6g zmwDOl1#VyDXTx9SC-*M!hl{)k{xXjXTi~UO$2S%EGXMCi1)j0U*BpD9Hy&Ex#f$u4 z%*%ZJ;RRl@$VuP5%z`t7Lzb3rQ|8{JFCoJ-@(=YQ2(F^?5MgCs;%Um0`z}GDD z{h2TG*%J$V*CNl$d6~bJxWJK%{0{bIzUTA;e}9pW5MSmuQx`a9kuU$@WzNo6;4gAt z@c;A}zrg=a|9u7ieFgp-U4aEX^ws}RSP-v&_%F}?Mf2^K^{>ml&@a)6|EaIHfBwDJnbP*!VZ|QPQ^J5j`}A7d032}y zVKgM0vn)29-r-i>^P3#VurQ}+g^D9rOJjKw)TH=P0cK~0K6()FwU(c>W;GSh4+~r_ zBX;L{6){SLcGAycIJVKxEFRlItR`*~q)>`PWg!e!cak24X{+kID`)+FO$xsIM5$y>)^H!!$ggKFa zpfI=>$+g`>N;KqZwYJ8%N!ey~Yy;$#*fo?h*l1|-sC$tzqyhDa83~(}X%0G{TbZI{r|qe7}6RBQ|F_DNOQUIwnH-HNH-mV-0I^ z-jn*MGqBKA+|27Er=5*H#kNX5avlwo6~%`n$_pg1^jKoN=`!Zn+;w{I#(MO1)is_u ztfE1K4=cx5)G*CuO{9LiZ11=%+$K|{fa%ta%voIxb`H<6DuC`VF}o#w zpYt<;32UWv6XA0BkcrdEw-*(7lJ%eU4AIRo2~Mvsbt{wGI_{HXVx$|hBT(%j@v&_q zn){G$DdiohnMQ=XS;Ni};g?GTQ%wpVJwMGM%Dj49Y3m~Hw6qwD%vQXA*L<+Y_-Zi; zFDn|yoF2J<(B+y9Q(MqQGx91OdN-Up_v^R3 zTX_lkN`bEDGU2ti;N+!n+qZ+SE{&kJIyiSuo$8%7Sam(~CBo!wN&qg#2IqD_v#k5z zoC}b6<#>XamYaKuG7#y=>5fE9h#(yW-jf~O)SOEdaMf*UCeVv6E03X|5<8*aIQtIr zI0saFOu=B{+F(pFX#<4XDcueRLbM00DD=-TqkJEK{>pvrC6MIbqRf@Qqx56=Z%A_X z^1mc^bmTw>PduAR=&iOT>vc!@< zjF&o9p(`YK@UzHH@RP|;z~jIu%f{QPkX3jX>t;yKypjv2ys^f0Z?`NfBaR_*!^TTT ziJE#&(qlLlA!v&YG`0bjS#FQ=np6HOwxdMgsjq+yH?HTHW|rB$GkS6yqt-_cxd*d& z?=!qQbRtW9Td0thWm3K!2sUFrkt0T;`^Rd$L?*2k1n`R#?Ci?BTd4oV zRP3m`I~ENqYN)e{D4gM~@=gBn%8UBBBx-UJ_O73Gosp%8ymtXEX+sxNbB5)ZX}Bfn z#$Xco9kLd3eVr{iH$lulrlDsJ^1@9!637<^ZRaQO*KTpU^pu_8hBH5-dk??1-rV1o;J@2oC=an74praD`>EWjxuc>|htWYq zr^}tyvWOCx0E+7Z>%i82-`r1bMHVUzR1@?5Z=g5?%XI^I?z~+5oJg z(+iPP(GwMdnTx?Kww;sc1$?9BcUU!=9kxeB#TREpnEPL8RAN0po7 zdZdQ1X{(~BDsYDXAkSE2-3&REp=kq<^f#Jl|yG~myGgBtsaw2sdm)&O4|+{^_Nz8(vV~Ztox|=7R}Tp_w+@MGaTOl z9Rt(or@U~mnta&MtthCn1vn&$9J1$VxhSa)(_aZNQtf_}d>}ds#z~vyaDfnv~3QxfxhDIXXXI5tf3u%HOO^hB%Jm zsB<wZi2^NrxB&+Bzv_9uC93~_L= z`|cGTnfYg5b1kAbK6-2A7Sy|Y3*Em@D1NwdMf2uoC6;ePPeCkovcW+&0X2f`AQ5ea z!uy$tUGN_W*9WM_NL|3(r^Gw9R{|{+=8vWlFTn1=?_xO)rn7h>)1W+{G0#mm_vbuf z`Wp*e6Xi6B7SZ6~4yMp2*HM0tRbEDKK9mAsPPG=w{51-s5joix!s=k8wV^i=CCa_y zHTr`&W$p;@s381fU>S@&((QaUMWP30TfTzAt;H&uDUzEdf#^TEO*)z!)5T+V!2_om zo8=dYUWPsB=s4wL~+zHaIw#A-Ab0i*i8;l7 zK(6wbD-3%(&SOB{Ga$elsQBrYQfYHPE;dftKh0^YG0To3O-V5lWyIATtc-Q_+V;*a zeL@r}2)S)oh^u2dI%;_DrVvU~hChf8jj{efhr}E3tgK_odZsRd=$hsb2E{bL2 zN^V0(eZWY0H*@BpHaM^cSGj$PVx^+9!JamOGr<09WO;;lU5WTl}c{)A|IkqD#33>^}m z27m2k#Yr8$vZokakM6L>$C-MH}a22DVeGhpmWYs@_x3 z#%Dy}PYT(_L+FUMJ8mo<*-PWmDnFskQL*^Skl@^E><#&i+l9brby%RWh(gqR?bt6i zXvs5E_xVGbI7k$`okAbB#+F-6p>y_u)u@XZIJnc_YP*|>HMS-6;2X5LBT`#3rvyr) zmgX2!;iO^hKlD9U#Y2jFe1oHprP0@SyL=jupm9@rkqn{$V4yD(iJuEM&!+IK8(E`z z)=-h+0ByTwXTCh$728s5?Z-bE3nVKKvw%@&6G`t`jfW1;H3^-Qw=#7==CJkAZRsqF zgp`mDRjInCy-wS>Pcj@$ax0poiA#m6cW8BNA^zDNWGi$USC1NAHtuqfRr{?jXamK( z)i!1838ct_x>D6YDe_JCc;B+SuX;P#rM}ca7$qQsYP*>cRc@(kpxWvfqzA4WZYz+J zPVgc{G-_&v?t*#PzB3;*dZNtDleUmphETCn9s;U-Bx3UwV=pRZuugi95=pFtSU1Y7 z^XpRd=PhJZA^e~#O2g{dN@Q%BvBQ%+E{kvlMs#?$4VH<}q#V`ct!Rd~Rc0C)fE$fT z9cPx^c#2Y-TTmU z!w=L)%DKzL*ZMSW72f*e${E!Lva0{c;9$A%K3&KHI;E&85&;aRrC~yR_dC6gZ*Ww% zPnEd?)6p@;eq3UqGkdz!=U^M8u()z=#|9d1H87EE47XXoma(1PB5!hTd#BaiUn#G9E{e7HFf;ECmIpstuL zD8_#Vf&+7>-EyrcaHKHr{3bjG1ujS1Nm6C4qSfD z7daIaE*DBBufSVN8hW^T3@pgc!k;P;`N!&}z)_j~F^b&a^p8SS8zEXFnzpeAAx-BV zB*`~2n8}XxkvNXa#Yi2r!CRC(vS0tGD{dZ?<}y$=42l3=*`w50{;HwPHuNNiMvWXm z5sbz9*t^cXws*nTkCTma^`j!TBV2z_UkJ!E#}DEQUL!QNX#`^3*ZkUdvzv(FQC94`7pIh059R)Mo z;jwePakInu;bS|avvnY!Dm4V=idob2kW#M2Qarov*Yb{>ScwDmI9Q5S=4ss5p@^b& zKkC9K2fN_d{{3HSO4fZjWqRJ?uf}Z!JlSRZA=SC=U;elbNKj1=TkUx_YZqq&%tnT zhU+;vcVa=esb2ZT8y~&$;fMOy9&Y)4^NFswSKdX#=di_hbd8~1tUJsk%qUenI_eZp zUg)%K2G-}JAYf$?vqw1D1P#zVJYpNDC7m2&J4k7+ctfxlW?E*VT2JiD*J28VAK=H& zQpr=Ky|g^hjV(ZIhFYGE151(Ioc+#~fofmgV=JqOnd)KLT%W`7A}Tubil+B)9g-HW zR&rJpgw(TrD>`$4T*lY0#+LDsDo4YtvSSGN7AcZnBT#9M?*3MIv5J5V~2tct*4bF>V*+dF>~7Na;5Wpveg z+GU>&)Eo(r1~%p?4^i#rem!_5qz^2uWe*Pvvf*&75AYDB|C#Wu{8}4>q`4?poX(NQ z&{R+2n)HqQjr_Rltb4zyFkE`3t75YH-a+uB$ek(WIc8+5Y!2dzj(U!Yu6A^n#z~T@^}}-wd6E-kZ1Y?JC9Cd1j+|q7C+}63?slm|0tihnyZTne)|ROHEH+T+L8$vCBSq_UYEGTR;E&^ZmYOSA22$ z)7SE5Mw|g_m;UzcE^qhllw1nZa-q9h)oFs~QXfmVV6fa! zQ@*CWatHgl=D%vz*HZV)JM1Qn^y2D&NZNi!qM zG;2Kv%S)-?m*YHv0S+F6Y_+6QZ;-^;{7}n%n))V=$qpCn8GYDWn9d6zZHWe&(q`wK z7$={@aF5VQt4hH6w$Gsqxn1SsPh49#i_h?0HJEI*RwofukTm)0oNQz|Q=u-8)2a4{ zg(^QBysXk_!zE<3c}t{@7(bFT<0C($ICRhvkkleYROi%F;HoGB1Z5819;AR}5TOHp}L&c-!5zI`o)0f9VsT(zsfcju=-g|(0SN=n~T&y~nX3M}$*J)VyCfUYl z$6gv)HHG1I*;-~yAylip2E+pMw(L77@S6Bqi1Gwk)ku*0@L>*nTuPADL972Ee3IKk2#qlJ~75%T4Ke`g1!P* zuOBvf2&5#cQRNzIxg)}Uk!yoih~BJ5Z)sAtR4JY)-p8AR0{k$_HBC8&^2$9&y^n(r**14Zs%(IW`P}-j zv9$nC{G4>zoz~VN&3|qe+3P5nSv$iS_F-x}6Oc7n*?Km(gCr5$26kw|@CKS&3W~Us zI6gtvVH=G-1G6JLCFS*L%0O_KZuUzP_`57M$}fjhhltF6oa8}B=S&igw}UCl@sprx zkQCbNWr#t7FxK}b_lNOYs$P*NWa34R)) zjgf5*bVbdBRvk=PYYN2!(69a zt8D`A!YQVDP;;%b`^S{3eOZX>IcuB$giI|`-U?j_tN$8ug@OV8s&OO>|SQcCtpgp^mKXK>7TCG~AZMTwqY~#x z<(s6K^ZF`lvU-~zAl%_BP`Hdg=JLlI>-8Dfqk-+53=k|H5D@#|WTS*0Qa{-U(-c{0 z9B+-+DLHv<0N=)p1!~eq^RUZb-OCSRz~)Z$wKA$F3%IzzcKo-7T7Pv%BTT)OhW@bZ{k1kFWtTak{mjcN?nEgkPc>jO9&@Ws_+ zUV=`zO8MiKMue;~3`bfMy;cbs9q-3~YEl_XBfW;lqB`FL+WTa@Z5Tn%L$*|d(@#3` z&cvz2rad!RsAeX`+OZSh)K3b`8TV6(5d3799O{3`6Xb2veFDEo+%@U)=UyZq()RAx zm0=z+9Nfpmb(RsdyH{bHm5cIrbv}S&7oD-TgLc+t3hGcveS1NQPfBl7`|hSU+;+6ObvY1?Nxw*bSqZmC|%uFvL6e8@65dCPIm ze$8FTAS~P!hhAnzPT;wptfF_i$ndQ>{S27@NcO zNm@L39WW_H+k1hnf@tRx=e>)mL?QPUxK};ba=gUyv2yJWTLDjgKz}I4m>tOH_v`QnhP0c_(PL{@8Ifu+vV4TPCqdsztEb}myG*noN+pTE**Yx~!m<=Mp!Jqm zgnVf1%kfP~5q#LUx|RU#w+QJnWxw(ivY+^5XzZGgQON?HrI0&Mg2agT){n-J!%)-Xe$??s;&x%Q@Cp2ehoGh(HCvb26hmmVOxg5 zpSKjnyTUd&U(fg@w(WVRmz%L_tIMi$W#h(gzW$mJwePb}zZeU<`RJQWC+7E0KU_)s zxFjnRolmdAiSSp_VS@T;3giBCp4Uly@j%6( zE3j3cC7x5<(Ug%4cInqbC=+$#^LJp6@i#^zw@ZyvZbalSYzbz3om+K$EbUhYlBlEY zMCl<>i0al}5pYL7WUB7y^q7C zyc5LhCTl8f6M6B47-Z6{NxDn(DyTMm0p#PA+UgRsqvp=%b&g23*R1g zDL%{pwC1c?nY{Nk%HKnseY;*eoccPc{+RNrq)R}8@oS??NO|+KW{nzd|1DoBA2vuP z3zhQ8N%B|v?o&V%(AzSBfDA+9}t<9de!rUdRIh0vb}>;_KD_Ny6zYlL*19->NuYP#!tFE`Ib9tR!`D}4<0 zqb$s$q7LGIkrsX6I&d!(LGaq^TzQ-`=RBz}@IFJ#Z>c&u5fQ0v;?B^ zDP>b4t;M6}eP&Op1q?0H z)9a>{!T|)?h`u#T2fx(colisw1ns%dZeNt)hV6=P9C!o==z7&7^fru>ZXUJ#euQN- zE^W!A$WIn>FoGft{wC}Gp!jBHVEK-c%#ugFf*=(mwJocf}HOF}N-Zv4;>Zk*7Y#;i2uf$-Oahy z{MeXXZMur&*6XS@X!y0z`Oss4iOeCE0I&Y>{`HN|t?a!QTzbvz8fGx3r4U_mRkR%KPIR1q6wqo6Ai?XzWM3jtO>c^|C8e4g7q zH%RjHOqxS75D}Tk8TiG~&NEg|pPXC%lFG2A<_-i4a5ZuMq2&+5kv9R@#7?)4^qek# zn>(tgnwA4`&P3zKTji%b0+qMpPKD+i)ITu@ttlh>HFPvN*1#Y$mWx?6N-LmG^^U;a z?a8alk|OTwsgRw{=;5(iazPc8xX;@fF`WOoxepV^={TjctqnGI7x51pG|(0%Elur< zsuV_7%xkI|N_CeQ7}b4Svi{ePJdyZG_@km(>GC@emMhYumma*NaZX?A-K?P*apW2r zTGYos!X-&s9EwXt)x@4us)@_$Bgm94lZ^xJGM9=ban(e0Y(#FIg-fnrE6AI0fxV1_ z>tty4_j1pAlek}BX}d_Q9hxwD)$u2tVhS2cwMV} zhz1)yx4$J7D}i1ik`d+_`Cj?Cs{-rMVf(vI>29M0o<@v~HG^qsnIF?hFvyys_0g~> zuFJeP2uXpBzNJK|#CNJlR{l9fEJ%3(jWD^!r!J;~R%DO2Es;2dzur0{-NcY$!;$p) zj^s35YL7qMmI$V-OXnY*UV9AHqa*CZPu@l}6(4D(?FTosBF7urI^LwWBv*~yE{?W| z6_4^5%Z=99a4_kywZ;-RU`gHif`7QQ`fHqw$ldSli~Z*I z&p-eCD|5w#kI(+}%A30{C(j`*6NFb@5%{$=Z&p6exn85croW!Asfr*wWmM;h3i>^k z^F!-Ax$4$v9>ipft>?op9jKF!t@~8@^`wUXk?|fsT8yz^XVjawc_-Gxs~Qkt7#XBmA5FQBO%tvrj~wkSs36kRK+n8yv6m5I>TMLDr!=2kLAOF zQW08YBVW5QIrD=O%Y&4-i}03{lgQzsD%Y5ASkyYx^2@7A?#^@&iiaIrc@tRTKcHYc zO&Kv}r%3cPqw$()1kC0+ z^Ilmr_0|5F+mNFUg0tviypnG?r36oStvC0~$Tw6gN%hQka6cLMlh4Ok5DCO9!)~^p zk?+&*lmd`1cxM_AkAqArzX7i2>x7$Hc(xW%jd4$CBLAGub9^$gC`wdmiUupmz$cMiZs5Z2mQCnx00aQ$0u3Z zK2)FlD@An-QHJ*Rjlg*4E&ohUY_uD;XN-SA64aY7<0M5FqkGF74W(5=#zDtGi^RVI z{{R%&`ioMPzt|!!Kkl)`U6v;uL!4G-x`!sKTVM_OM``UEN!LRG2~A#IlGXn3g!h%A zHlLjyifXF*j_t9l!yUR!xfixAN6P(?qW`e8Q*p^?hwVAyeSGjlLrCRRFL2T--;k{P z$+D4E&*7=VsGT+(^{t)}@C5%#x}Sr@?MV#4;fr1nJHyu`e@Yv#cNIRIWjEF+USy;BAVPezlVmgDcBuTG~n z0v@(>=fjEPVVtc&YPS7$s`WmhMQ#eunGU}r_Lqk6{y+uUl5v8kT*F8dd$63TL{GQu z!qXCimDVD9oUoSm0jR>Jq~#z$NgZh%>j-oc_sk!Uf~k{WbvZMxW->a4liBD$ueLb` z$hlP^J~1#`F-4ydLjl`DryK_@u;mVR`u2Z($E9pYT4qHDb*VpKe_eP4XmqkKq-Y_do9oR?Q=BEpV@jPzhpsvthr5)?S z_LpO66oCzFLQ*xGACpw&B%SLdGo`G@dBvNhZ71R5d&~7JC^i*_V$(IN4EYS!_iJFb zQs{%+IL+o(&39v1W0Z;?R+=3>FqT9mEJ_B89)NvGPFs)Hp{ z4J}ICJpMQP{RY-id5Ae3xBN?WN)LWqM!$>1(+;NPgs={IWZ23|p^j-zXpoKpPO}}8 zKerx<(4TIyC4@BTpUKWyU>8YFR(uSgu9l%Eu-&*;rt0Xh^;nH%x`%WUwG8IFP2o{W@3BkH@8|lfl}(=Jsaw{IAZXrMnXZd2y8IL#xl{ z4lF3+*Z1FAdHL|{4+YEIkv(Cil@F)6mn_%zQMQ-b2NDs3Orm-_T?ha$m^SkotEtoY zRIj-~h@HFN?w)18?s&bPzzJoR7kHL?)DBs zCC9X22!&{b!Nb6JhGtb`E7!IHQKa#qWrEV2K)$`a{i*=B=02Q~~K%{J^^Va|_Gb15mE=dP(tBbmaEN3mVTpd@{a2LnzXwvS*$bZCeNvD$VN zKYrNRADbIif<@ZnPhWU9BV-X=9KzJ_cTD&X=~}$pf?*z#L_L zIzI%)qGFP%k9-9WA2z}i`1=!2cJaf(xD70QYJ->ZBX>E`>$YR4$eR>n%_SeoIg3}W zR>Vfw;f2;lkZ>j4`KdPNFy|mJ0IwQTL3$y%x;N$dsKR^5t09vI)`|g3Pp;PkQJ7j@ z$;#9be`?c?6MS@xcvYP-z*!}(lIKDvM|0y%XhTQI2>+b?p4GE6C0Nm?)=jBev_qn zd3PjlXTs6XOA3al2(idM0wYn(oVTKfiIBHhx+ChceT0%TX^D$5C)*viv1kQYF+is%X*G*X@r$hC!4Knbp?2*VhgM}&G;5ltj)mTh)T zgf26yYDj#RMbn6E@*MYQnXDK)$Hdqoa=}IjSG~QxVr+F7G2X8CVq5>vA%~n|qeuU} zsFdezN9gleX6F}2Vy`xSvH9$Z&2L=&vE@}W@M_rK{;-@i`~e>{T|X3eEoOP2l8SfD z8}q6K*VX5)=8)X!&Gqf@wSrWUcVEvc`sDG!qzuJ@P{pjQQ7Hpo#uX;wMmSVYr(6JrqTy&FG;Q>V@sp!Cf zY@%bteAK*YoMx7$RLutprs(=Q$B%bMiA|*L!JKq?uP&^QwN1(Fy*C&S6e&quU0t?U ze_*Pa_=(<`AXOT;r`BDDY3gl9Me<$U?(~-9`T8yr1AW1V>+R~6S83DrHe>@lGENX* zi3+Bf=%eh8CRuY`gLc2U!e#hujo@Y)fwIUd17mQd7rV!*C^yPBCnGP4shfqmcbRUQ ze2cbs+A&}Cqf8DqaDZIrW3j>e3CC~lO>mQx&pB3W}s^^g;Fb)0_L})4j8d_^JrgOlMJl|A?L zoptZ7Sh3>bma|*-E~(hA0BPr4f(~6uBYew!(B8#rMIg+E$JSh%#hmB(T?3ApQ7paQ z!XZRw{X#x1TQ=eU$eoVsw6weB-$K>ncyN{Q+C4w&KmdS&L>Xt?1%ev^S-s!9Q`> z`pwlYTV@~6h(beX0(P4EK&;C=LsZG0Cy886Nxdds2p<59?-TFC8zQa+5~Bi~4SuxyO|*OTh{E!YN`#7@Hu}gkI=03L zyX09^Sfv!;d(h7sPCJ?KmOj!K`bu##0U~A1_S>-Lm>tI@ofEKo6mf?_EK(B6dh2Ay zuRun199g5nXzF{bjXsTVV|1uKk4kSVjfH__tp1#sUT^2)9(kvAW6x;wBNFDJmYeBM z6L+-$hOp<@s&U^x*mNqm8rk+B^u$19kQxkAv&PR(H^)&UJ zrXJvRCodNjI^TngvdOp%&)#wK@C&yO+$z8KOK6%cnR-BOYBUB~;AomXN>%`MVrh-|he5)S=$LAf#`&qc z&WOt9yN@bGolHjx(R>7`Lx=J`ns(_b6_Bmw-vc^pi}f4`va(c=pPOiV0&gW(a54|^ zTs<*|t5J4MY7!&>lJYt3ND)n@m$BTVsj*fkv$mwpDB&GLI3HC+<9Sh4^@7W$RY`=r zEh_O?jT%MVK^)?}RRfeXM5BIUNbR@v17imHC{U0t&!sKXU}3e0CX~k4Pp))Rx?OyN zV?D39IT=U(w5nfuuJkv3eD>qBD=jm^VD8K{G8wab&&ag5ye=xwXX_orMYP<2o+w2uV) zuo9ST$%P6@0W53BDHIV_K4ZR#99vh|mqd2Sa7U4S6>;n|iy}W_Z;;kl5~9srtgUKl zp81gkatgeSyGdqGx#lR?GPsgYi*f4oabG5}h=h?b$Q_X+KTRF>ceh89XdoB3R5^O9 zTm-0nq~=ub0Z2<<-cxPJbqCn*vNH9wNdwoybcIu)WS=H$?yw@$m%aeTo!~ zaw<#`F5cG)P^He)VZO9Uem9!v35n0P>;nr6|aOTF$MmaG*Ac~gl)QW1L zX-<^=8-sBE3Tsx1y`kUEv|k*tvubR=J9P&G;)Ya0RFwD>Wbmo(MtoPV0Qw7r#3}J~ zXSb(T&0y3yF{eV*I&-=+$`Q-e{r!~ln{2N`%XOHyg-vn>KJraDAr=IUJcXoBv9 zen;@|7(COnl8e(@`6;=FmRABKPL+Ldv)uPMu~ZXToznu$oT-|FJE%%uYUXH(kQ0U1 zTzMesyp3vu`5&aTBz?@z!yKAH;+Efy#@lkY?8GN~=ho76 z=cIb?-+wK@KCj3ZrjI>+^UXKkc;k)z>s`}p-gs-JO-tSp_sS0~K9-4U)y}{80IJwn z@Y-yQAK;{VIseEC)wWe#B$c6xl|~etI2Y#hvNT#Wd2#+4n{6XqH;VnhrBn^dTalMg zbh|deexGVs>6||y%=LiCy(O=&OE>;$Bb*S8ID6Vb2qeiGbLZwd!^GNDJSgGHfRUT zS0HU(0<}+sr4fQHQ=rtQHc$D)ZHV)ZtWArLx1!ALK^@a#JH{w%8-!=N!e_+x(W%bP zhon6_dA;dT%J<|6f;x)CIRctDEwG8Xj$qhaGwfQruZiO}s; zOIwRf=-@=-Wi&L(vC5}Nhy)v$8=3be@xB|Jou!gVRq#p$C@rcSnoDqoy4}M&JSlkB z#6QnyauF36Kx){11XU%m%$I}#Pt488#tRg~Mdh4XD>*dL{9E(0MqP=XVtpdVHsxsh z=ch44uIplz_xe++Et4q}dvQDo%uV*P@hDYew{jDw@j;q1xJhTPpp(LIgOPKG$LRVR zq!lgGKtF?93(}#!EFfu0haHrO%CNEvGP|Oz3uct=vT%?hiZ>0u*(Xvcx5e7PCtfWe|76S*k;2b$sh%`1 z^3t{I%KTi8ZHGcruk3#B^*?-leYb4c^81JH?)@a?>(@T=U$yFob3;n@44e;NF&g+g zwDLjPih$myq{krD#y`cj88H~WXKqQ;tLGhvW~o-`L=jro34QqhLt3i2CX%&~_SBKz zWQ-=c?@5Ia4&!g)N^W?n!h-uZ2hh$-4#i$sCWHuT#S>N!gfYd0u-pOW*2krF8oFtu zL5!o4WanMK*4#@UmHxpgux|IZIsXzBP<&o>yyTCToTiBGefkpb@xP{%@1iPc5A`R< zQUpKxvu&2`RFM6uqay#&GQ%eRMESggoAC=-(+%fthj+XWn2_1b=(hMd;j&3dszn+6 zQy!Px;Yl(?g&ImN-#FE-5Vd~?uCKp07|lH;)^ASB9r1q$KrOpSS*1%^{_r-tKHgE# zLz*N^1S%aXD&-sC>!buv)RVk30w2JriMa^E-OG?3Bz-D!gf42gnQ=FB_knceQ##ay z2o`bM*+J~z73BAL$`Bf_%cIAlFpnNfSRR5N6Cxq*8hJv) zy-Z|M-kLhAP47)YJ^7o9{hb7801p@QYy6`SgDQtt}#?eIz7b0hy>s`;WfsYT*G>~`5(F0k($>Ug>x$@>@s9u%U0C% z3|4d6zrlQzDBpgFI$u?8hdsin;1cLQub{cDTa_QfsS3|Fs(nxwHvZS;^BvPIOMN%c zX3p*OG4)v9Evi1j@qcHu(|WlHs)ZTd!zzKT(>p!-#3iRGjJmn=ftU>N2gUorBC+o8 zvug4|S1{3w)x9jI_sT|{BO=YA`dSMCD8?_Di4jHx~wD&ocw2P_xF|MJ3Vea$U`LF-6_*Qq}qmMs!e6(pSZpZc&glcSn zcURboD(G(n^$mQ|q2)&55&E4vj_xi3;dE$x=F#Zi(;t=mC58O`PbKpFIQ;jw$=kjL ze8)O%qN-zfc_Au^;Lvm{+u^`QR zzz4|mawA6jH|?rBEq^SwdQ#Izdp<%<(cT%(8*8F{4byi=dhsia51GjSgT42RYI^Iw zM(q_uMFFV-3Koh8g0w`Gq6Y*K6{Q6Pq!Z}`NTQ6VJ5_;$X zLK4z%&g1#tG46Tqhx_5apWY{5GQv#qW9;nx+iR~i=bF~o5WBfNyHKZItd1_0lw>el zUB8^t3tK5vP)AV=NE|iTOgBskXGU($W<1+;p*CYBi}0F^t8-6m`a^kwX9vy@K;3^* zeQxn9iH49ynJTP+9awn22Z(PN2Uey4Pq7_Dl@8d!*9x?H5KVaR-0m^Z7AWl<1_MUU zn89aD^L<`L-uYBVSfhhDkbgh^H&Y*2K^P z^rpMtCq7B|vC!aWN_c*?_@YT>)zHNg<(%sCes6R18UgEyM@)V!(^C%HjK1~ zMh>G!i9E;}>ep#dlvNKv0IG;=G;;B_i z>gVUtMU#FfVs(jm^FB(Xn1!T~U*09l0>DR-ly*HAKxq*H58 z$r%(V&TMqph*aO(7wiT6Xy-}mfzrOV@XM94-i5E(@O1d+`vaujPAp4O#IgATHBe8T zZ!YR)TUvaB;I}zc?uyvBJZ-J4UX~dY!nVjEjSO*wog!}W61M0uv^$SIv485~pAFF9 zT;%Ojr}b5Y2Mxb(Ms2kNUb#|FZY|CH;>+)T%H?LO5?h<5iCEGIc534}wxw@|%_gy? z&}=2>i+EOtJ?qUdA-oYQ3S*s-4_qK)ulR&_1PuY_hXWMc(_q&Li(lcFJ|cZGxP==9 zM4JpGy*CLcOjOAJ7NXDDXv~RH{e1in0F2N3`TeDt$3(}yvkl*~>vfJ~ywA>=}W)|s4bqv?*`%)<9od>cL zv@L<$LV$>at353X%Cvl@2X+<7X+#PPLze5gr)x;)(_eZ56O6#i<5+&e4_;^#a!r^b z#^~7~rF$v$lbHY?XwC-&W6OYam%faP@VbY7l(Pt35Kmz9Ry#X08V8HnbjfZAG_{08 zm(=5Qs({zZm=I4aF3gcYEp`~FTvtEHObv<&BfleQW9Elg3<=pa=;U%Vcd&o!^jaD{ z!mgX>zQZuKqskNVhELGdgH>E7!jM^^*_myB!7+~9K0j}!{TvKwMEHRwt~r*Ju-Efw zOm6Sfk)DFhZI6j(BdgYgwTP|Nk@8KkNsOcN+ebiGJU==wE`K*2_q*y!frYS zX)eNwg&_>53CD7ZftA1A)0KiMkva}C&yv!LhgS78arVk@$vggCKIwKp{rBFdVEg0w zbYqM2@xwC7I}xuE_4?xuz1jiL{??~$AD$pB^r=4cD=Ox-^st>=(iRqmb72Hlc(m|} zqRtr+_N;W9BzvzD3r4cEDiE=-?h%q0aY>yf|1nC|t3w+K`NJ96sC z&X&6{jw41qGDaT+G9^qVTft;6392-#U*5Dt-tU<>`GhVvl&xx3Y8D>Ej{jUmbK}Z_{+f5B3N5yX3@i4?F>|he!rQxlP+NPFj8ZN?(_}*#NGs z0~*jO49x(UOU@bwN|NE%skHVd*j!=3wlHh_U1j_?`K?Xz*LpGQoM(%u1=$MdqhnS` zS^{Y>pFegWs%{d@{E>3%riE0r5VFp}-Z09y0;2++XVIa~7vVI5& zs5eC9h=i8N`cxq`6E#*~eEwNQlPqY$65$@+xqVIN*UtP=mUwjx#$un&z4kH{C$N~`3B zQCp}0u++1~dVMg|3+9U_;p}zWhOo!m9~|yRb02X(D-VR$*U@QU?FNULwPs;KN4Wat z=Je~{B!e~OLUGI@=q|mhxw!>y@(#EI(M~HR3s=CXyg)$+0eutYXKEJLQHeBNxs&6? z&J3ptv~Tuue9^Bugqb%|&Dcju$+}zVTlj!Zz@wa6`;rmpg#>mdB8R;spRgFxIda7> z5}wiZ*;N842g@wV*&NBI5blma)Vb*EHGWTJMuL+v)Y?-Sq+qd zV72m+>DPdyjv7pUfSM<)RB3Iw1q};jlR5VYGlNFnI{BMVGg2yO_xqSr5*5@|#Kb+U zTqtHzzO{6FrV~LyHwGT7E|FTaCXD10hk|ZyeGQVBs|Kui2SP-DfHHKq96B)>ID+6- z)LQ08jh*U6!YOD*3h~-zj$CJDu`!A%y~t?e$}^@egfKVk+(fu4Dl5ZOUJbg0+!Iy_ z{Dtcy?bCw;tC0Z#y4LlahWp%20Y)k)R+r>KhH!8gw?*1n=5G*er4P@j5+E;vvtUM} zU8tLM(N2<9S}S$wZ6|A+_e~9$-#cZkD5@ ztk6APL)_6G6$XoqoCzWUz^rm(8f-rR0NDAAx^E-fw>NfAP(CW=LVmE8x>U6S5&$Ros zmI^s96mr1Cihu#2C)6Y>Cokvm!r~6a1~WidEX`rp^!CKiO@6^TWSP3QYEmEAAVs;J zw3cr)`e-{OfzUILm7{3F0BNLE@MP0oMkWF9c37GGj-eIgTVc$W4K-7Cj?t#ySy^V@ zfI}*?7MXqYURv*3K8)H0c+>j+36T+){RO-YLqamvKX3->8k+*KcpZSkvI}fMwve$% zs{5D|Nc_Ge>#|;zf$()jXMo5wn`Ob?+Ncy(HEC{>8JKJfUt&YCS+0PN%5DVF99UlJ z2VVau6wLHol9kS;jkYvWz8Nr=5A_e7# zp(ha<-i+Tp^NeR^6T`?F)0%)dy!8l@y-n7Jg{;@qjt?LgEr?5Y*LYO=HRUxFQ;ZbY zu>gh(#5^I1*Y!ZFGh7OwD)2GtkauSLa*9i~<3b8IXa`?ys)*RROWCQ)>gqv+oI!EH z?S8uSH&Ge&v5wF|Vz!$`e4v{|HLt=`!Ia!UnT-=Ja-#-92;u!^l=K-Qz9dMBiLjNd z@f%}jVFxX^HD)EDWH97&S%*CBr(df#E47ejzD$BKaNGqKyJgzdl`MoCh)wg2_OROo z_YMe+P#6(Za4`{&88up4?rvh#kS~Bbo3paRe?w(Sr8x{1yljknx=^z-2*p06OL&Ly zOT^e&k)jk6SlO=BDC*Gl&J@fBFQfB~W>*uy+pDq?nv&TP{aYRZA8R%2GK|@AB{@E+ zVH15~B)AIX3uld137HSA&#LSP{IGjc19R&o{dg9HznQ~b7+BB)e#LI^@HhavNjK#zDoPF%Xt3{QL)%_#qKK4&OUg7oejMtI1Cwg0C z$%k&6VFiW4!rS&^;j5dR+UFzS3Xe^h5kQ!a%??auWf4@7 zJ(CsRHV;mzRH7F4&Qnbuecc z$0-G7dpNQ(EoQ4BhkK372ueY0tDJ4H?^0d8ttb0C_emRJC(gny4h8F2sV{=}^lRA~ zGr!}At*bOIb2MeO^Ru67`OsH8)S#bL7_umbd2M|-$b)4#TT2Bb{&3`RQ$u34RXDBm zW~)}f2oe&K-Hly}o7HJn>h)r;xugegc0pSi-Ca;IO2*vsS`4H^NP}eDIlmNa18A{? zd1ZS6#-ZDfOd*;s0x{zs5Rk6stc82(+Vg_)*kQs~P-%ASTt5qN3ep8n)_{&K#}FW! z<3#Ihq#{QtrEQ(bn^Vd1y}dDBk~c|}-FWuRmHwXUSp3RE>>@(nszUG-9D3VlYrpDs^!S9Y5f^tO;`V9s5otXmY{5hWj7fXdLcRWX=pqL#44h(tpN0OZjv_pLs<8isjc1VInw z27#8y?X}cO6&SJQtCYpWwu2VdkU7ZemJJ*mVZJ90%)EsWpJSV8D81P#P%uDg5MNEs z!j)*v)%2TEY_y!6^Ojbz6Y4sR3UyOsV4y~ z@fGt+p)57z$kh?sl9FzkT47vk(wcV4Cho`lWowo#dJvOk%~%U?!1MHm;enD24SKbw z-xMu+&V$E=SQK9ZbA#qJ6A&@2Ud+kP)PyR~au5WdOo>+>g|vfVpja zakEx6D~mjf#3WiK2*|bNwk5R9`nqvaY}_?UvkDD~3b9;XH>mXl;0vp_fAO*zBk1UN ze{&1|>FgnpWT3x~d;Cq7$CZr`^f_fcf5tw*^P+6q=P7B$0Nx^Cle@G3?$|WRZCM(d z?;PFor;otmy)wx&DJ`+srtI{3Wnl>o3{U+(mu9AHDTjcL#;K}6Vui6G%Y@`6Dc+E3u#p5(ZGQfnvF(QrvGqIg2d!Y zFWd4p>rmv?Z2E6j8FMJ#2dDWw>n>b@84F~UvwC>hdaP2hM-@hR^gepUck(Ku#>^r+ zYIvGgtvonu!sNNXr`&bHXAbo4loGV$u$x09Opuojb7F=xUS=_Q3S>HacVu{Mz5690 z=pnn5Xlcq+$S7lDe6!i$l_Q0r1jgv{JCqi=3Q{((*=kLRL(!Bo893MMwlY+A3_M78 zxDei10Q4lVqwa!rm_-=67>?&C%zf-%uR;kC_(pnM#XUpAGmmw}O2xz@F}0kFW{%6O z?>iypSu4>5QsQiB+1zGkk%t<%fYwVc;^bv62ThRk?EqEyi3k>u81$>Q)YOYz5r<^X zhk9gQ;RcDvXdYA~$g`rr66+CMBTa%%Tu;vEHlFtN80o!_qZwP(ZZ&B11D3gd9?Vp# zzX4R!oHRC`^gM-*=9{ZiG@1d%C?sH!|Z-0+9U^B z_-kMhO|M<8F&i%E2|CLj1hcb+KS033xLTi~JH4MtO%gC-27x><(;AN_$hW4IN|GbS zMn+44QB1FXj47nC#w?C{5ys5((j^+SRmT77#i(a-Y#CW#s5iYT0|<3zKj*a#lAo+1 zl>xEjp=*+9mkTj(21xRx&$HYZFI~)0hND!MdOUHQzBc)=5dNDOI!pJ>ChBpENkp16 z3iAkrublJHVro+g&`sT@nf3D2y!o-u%*EiHQJp+?&dfNR5a9+Ja5M8{!Y_B1u5_YKIWzc+_&_fzJ)%)&o%6NkSu z3m2kgq|sEiRI}0XZrvDqd)|**6`F&+rCOAMppdKoVP*<&r?*2wo7+P-t85Dx?TA#? z0W@URMY7-T>6UzUSaTP(3P9xDO<<>*zBbe?aAz4XCB>ptw^d8s2iaUd!a+u_$g-M%sh7e_bgiGqPQ5h9eK1G z2~}TjUMXS^BwKS1$7w7PPD7hEl5=Q}Gst#T*d8Mwr5mPKqeQ{`J*8f&=>1GD?Ftr@ z>cx?Gv_c2%kuBFW1T|G28U&SZy^(uwGnYDw}} zVX+*c5kE$q)Ntvf--4T;2k~25eSc0;w@VmSc%=|a7af;}tdPjpr_BKkI`Dk5E4w;= z6t1Wi&!Nh~jIg9}<=%^31(V?H6a=HbO`SRN#sa$j1~zWMRH~_+rg%-`=}1g^8@cmo zj7Lru;S_;Z(gFI#-Oppj?O~pVGe?$vz57u-1_TJmE*-hPH3CAjwm7pB))N;oK2_Eu zcE9SFZ&Gu&s@XijX7$_x)E7D$MAvz3_Ribt~suHmAk%3uBob3&QWb2({T;`L265{h63T>7Q zu5F1ZR0TW^e!O#NaD8(I2)Y2b7J-jPa6_gm-*m`^L~-|V&VhX>2s_4R;B?8G@}pl& z*~)MNCbPT)tg^Z7VmIz}G-IOHdOBvw@e1U;*{mC3!-_e(lAGRinZGjvvwOe>b7}s&69l+4=!7ojbq4sOyf;ULX$?$wsmNK$Tsb%18yLfuy>_KS4GqTk!*WVygj0}|_lK;57^8f<61;Xu|-oYaq&_sWwCU+un6CXBm*C!;)|ic;oq zd`#z>UsKJ&Fzhv9d83|bI@H6`0nxJt zm*ZhGwK=7d{hZqeRpB&MNO2B(IL9C7$8_N7+;%kjG(ikiLOTxi$zjHT5X@OWv;cLq z&4-M_DPka#tYtB?2kT+uHqCeNeb+m~@g;YGEHu=WWv?AHex{ceLG1=NsUKul1q&`) z)(;~X*hdG$7TGR%5hh|5yTFkBY;GC7n2RlM$zljW20Vz?7Kz%z%7FiWj?ORC3}RvpSJ))?L1jWkj&c6FMi&*as#- zaN1q^U80+|?eCrjfOVVQub?h^aUpyq#hd;C8@SvB-mJ3l4qN+z2K&74qJ>=m`+ui& zguJS2+jazfGqVb17KABVMN|cJf$32Ts1c=L9d-uLAx4#=S;gkjF<4W!D?&INxs zc~XYKT2i&V5`B&I=!bVs+BZ9lc9}D?obU*2g&d4xv-2s90tTcoDlO78(-W4{2iNo7 z>?zPu;Q-RU1>r{G7#ES6b7Mc^qJp@t$ef)}?~h!yw3V-uutAMwsWG0Hp$v?+_?g}` z;n9N|9%E0sV!j{|5$8dDV#qFaqXM>?9D-?#wG{;uys!)OI%Ux~4R}f+4OBpR*QAbs zIb;MyrwqSehzV2gVaji2lO{2Z&8RYnSq?A43maUp$a*+_&O zQS&^4|kYgw8Q4dONYBiFrIlJ|iLGnu*b379eY>^R({8G%Q)n#RpqdG{7} z1H0GIqpW;ds3wETt3OprSpyxc6T*-sVCJ_m+nmaJV3~7H#L8#g5aJ+W-b2k4r3QAQ z2nMYz5oSK>(h3=^9pDi7>Oz0n1l5}LlxD}P>=N(g)J|xiAacO9U$oiB6@J>_ZJMz< z*pc;#idd8fNQ_j_-qMFOTCuwFD>kY1)`fHkqH8#T{&8Y^!6Oq7W{}p+NDo(Z6+T*W zTbCezF&|>yuV!Mc1b?~(0gYoR zA9)3M-ZCAAGsyM2GR8Te;h>KeP+S{>$!yf&=_ZEtL!l$OY8{k_46S7_WQNY$3}v6RHkm)}GZinhOLtSr@i05Yf3gzSd^WIbBLwE4!b-XKjK={NxOp zWL>}3-5d%V0|-NfX1yI923HG}NUOU)| zC+~o)x5H-M5y)c3kECj}njBY5Sk0)q#kv4j`4nJSq^DF=PN*w!_yoo#gss{(oDlZi zH7uCng}o2|in){8K|;?>&^vZolzegWvl`1m(W?+@(~j5{PhUYu4_@lsX{(qwp3KgW zCyFr)X`{h{)kw^*CN{X4%bGQy|Hc<-;F~A>Vp13+g&)K*Br|5Iax%@I)0z{!YGVzj zejsmuMpw{Q04!y1<`4rr?+^OWRx`S~O3>w>1-5kHmkQa<@BpC22f~8lDn4+tIG+qz6`&j-b<2fdF z1W>6wamgrji6^E>u|*-}LJ13-lG|XC%kWpsnsJvrg=wM1(}7S-1G+}hkGCg6Kh7)# zf&0;q0<-ZMu;DzNC2p!ky(89gO@sAdd#ed%Po45N*Cu|mExA<#CHsvr;_$T2RCx5j za=$5>m>`q^-R|+48H3rA!4zww6jdW)HUw|0hS>)ElFwN?IG*6io+nQ%S4#CZty0oj z9+`!5Og5X^m@iAEDEM${wzUzAbPb3V_&E8=(sbfr%!fkqKyPrA1p^32Z7ar;qDE$fFkLvh2-cawG?&5<5W`GJ+OReo<^{WZEDlH2@}>5&e-nOu zf#E_EHj{hn%z97LI{aphsPx6qdnKw9sQ~&(0=pu+9y>>K%08&rJ2OIBnF#J2HlMMr z2!eS@uD>Vd(bUU_R>E*~5FD#8Y;B_M8111OP%)m~^i0Z|`4Se-i~A$@Cn2VdLubSU$0>r(1_QPrk?eLaQrar+n6cIc9+72G{D?rVOI7dORry z1FV7+0x6xXA6CaFo)Yk&*fb7E(UdttHPmFDfx@u*J#|bWhORejI}gr;+p(G^K#MjU z0>Mn?H30Pg-PY{*e{9N*^Zb1NICuTA<@o=>&J5u9=d1p9{QC3NJa>-&)y~YG_t*dZ zk3Y6%$Nv{wv%F*f@7MMYJ^LR3{SW?c+cJUZKlsOg@PFHq{Yw9XSN((k+ji_(;U9e9 zAN=38Vxl#F@R)z_f7^zwHUGh@|H1!l3l==^|HS`o`=vPZ2gm*M`G4Db&20R^7yiNj zZQF(B{=rTD!T)W`RdDQ&ZHvG^_`hwpNaBBRr+@H&+iGzx{lSy}!T)WW^;Gi@p8gO1 zZ(FQwqdz$DAN=38SFw-&;Jf~L{15(rPt^Yb{`>sj5%}*2{C5QYI|BbljX2<;B{C?rXJG%;0j>eRqEGd^jJwHX57FWvOMRVZqtGZMaqa^aeNr86> z1EnLIr=$(+k11VyH|ugHu>YHLv0LI?9TrDi+mhP(tNUcv7VQ+|u;-?e^m^GHK**z3*PE#lvPhB!?hfi?ND4yU{yIdvkk6?MDW z=GQGPbw~Lg8L2n52P^LmtQN&S*UvpOo+q1sMKClmPCV0Kw@o1D*vI_6`6>te65p1N zhI`IU?elJ0?yEZD`ZiVMmA*;igI{e=Y}yoGA0*q|P_9pSDH7}U_{G}J5&7pr8a`qI zxtetB+b^#1>mqLP`M$n;6t_MM(Q9*!4@b-3O7 z;FF`E>8y@q{-Fei?X4%_4?G(JPw8E58o6~vCs>e_E6lLJkgT%Tt^Mbji3Y)Uie0q$ zp2fH8k!>cwn$p_!g(RmhdWNN|-%!=hlY0A9Vc0=Ra`rGMJZ-s2<8_Xvd;T%enY&dt zjQE;7S6g?_OxbJH>tF4kwVxM%=_O){6ekh zl6%_nJ&o|jA>qao;qZ^2?#h;nYJWfayKntDYqgk0a;MjJQ%y(msS z2`P}A`G7CJ_driq%}D2fY=cbq$H@87r%BJ8r>`qb#kY)nOA~T?sH(qQDw?O^uJwp_ zk)ohwzMlQ`5Xv6Ij}~X{_P1O@i^lq-$M$~jyVPyvKnb{fRDN@pz%-a#UGf&MFjRad zJ%;``eli5H-k=wHDNmFqvwvV zt#u{K>WyuCv!r;Vd1m7^^b_T2A7kW$O8iZ0{Q{}CQ?kEWZ4{mxR}R}N4o{!;&O6lN zy_C8<i0cj-zDlK-3IqhP;VD<^v`^JAQ;dmsUi|@E)sDkJ)z}x z+of--q;6Cag-f%fA zSN-N|JVI$P{+!9pOQti1nxM7^sLuRL`Nt!6i+m08&>Vj1_x0_3s{5$ysir#_qIq;~ z^{Q@cla+Xz!Nl7%&fraGl>zd|Z-k!6E6C#nn^Uvr6{=dIt@3^sk3D|nHJae5b3T#rR@D)LNR?GxA3M$e+$ zw4RBDv8~?hy&frez|9h)r#>KiO8Uyr5#{Q<;yl9_2nW*HW8r%~ImGO7GW+`0wq>u5 z-dQi-0=`QHhpnVd!B#*%wa($c8VVn~yhDE;PmRbh9J70d_8C$+q?+`$C4^ApC>*#F zX8|S88dRl+Wm#yORF_@+Sa3e%?C>1UnOuI#!=$23efo0Bwplge=Q-5shdY5Egdc7m z!Rz}~R&6L&Zhu#O+SjFkQyfz8ns7^1dL}Ep{~1VZDE?@hn9!J)ak)8oT0Lg_iXhVm zFLU>o(aRR(Y;mqzqGv6#?*Ld9(2krQgk4^m{c?6`_M*+PWB}msmX~JbL(wPu9fF50 z;go(adwdxWmYR}1XYEXcI#4LS0#vKdAAnZQB;8i{x8L2Vi}opT!e5bZbB`z+V|I*FSf=8)e^oX;Cw$Y`R2-y85gCJfBfxMn^= zX^C<&P0iZNxcV~Uhm*CCY~q*H0OP`vg3EvgeUl~~1z+Qgq11^uldv}mb5rM(etaH! z6Fik_s;yI@Xr0Ti_4Mokh?7}7<#y#zw$0n2(dkXEzlN65p7#$31-D&>K0^6^z}r_V zCd?*Vsy{2ogQ~9$^?WPVxW1cvX^5cw{aA+2A*6ji^8G#GY1e3~v$J0@`b%y5u(p-v*}MnM1kUuB{nG{_}tU$hW`mO zvf7&gnLnSfUaWi4~`KU(}KniV_;DpH=X+)aLgq7tK)oO%HFcW(ClSdr;hOTNxAc>NR%=vwdPxqn}8!Nv|J>-;`XxQQ2i0ICBkE z1w904JQUmLq;TWFqcP}R<+@qjIKSE#9)V-OY4`YqyY#6 zv!X{f#hqRKy6u<3QtZbDCc~XAN>YUSz>YOuZ20Dh)haD$;5jv-r+JF9q%-l!ry_eKH7`B##_AVekJpOjUPV?xw zka>kGCp+xMRxG~vU3S@9JrE=#Sor)z8oFWtJf)r;;#?@^pd=fLR(-mu^u_T+>Xgp< z%=vF>7{HHZm)+Gk7YCmwV{7M$FNL4?)0T_OO#|!4H{7u_{XK?`hihiE=ce>E$F|ct zJIc8H=UrYW9v`DDd;icr;HZ{-(+LNU-!EOUsqv=$$+S~srf}KYc1QyVc)4~;?@)1` zq)cZQU5`hIaX3wVm!{fuC$njO%NJbQb9{MqO8?Mu-ih%gVuaG7wO$RkO(a~iUH{Sk zIxH;y=e;rRbe^xJM3nbpeD-48hdf`6-1QRL^e#+G)V;b&Ol)CrJn+`Mr@2HxpDED7 zr1%1DpT~D0rcce_hnwtlSvAPQxMd2;Bf#`=0{PY_q2|nIS+TNqz z`=&y@i>*Kv+>+Uc{>Kt05mt!xQh7&<7oMD>yD{C|&=)$!&|`Z`1DBx!8l8B{ILqEg zL&G^9?}iaSl?o;t(^i?Hu5psQz-MRQnUG$M<-5vb%!7O8y{)}ql+~fXuo7~Rh2lWW z_>Ma+;aW$wr8R(X&f0E`I{s{Ib+X$xi2W5$o*xY_ct&6cbWB!{6PGnT9AhS)r0Ia~ zHipG`1_r><_!-=~wqga2_T&>WVl&(zq-;N%Lig~hx`8?iIZ%>~Elw2>NG5)F$C@4E zJ>kk#Z?9Lw8}G8>(=NEY5A_<_NRE>Pzh|zgq({3w8e29lKe3;8M}0K5c%C_NM6A*C zw;x64(He!8n2WStBfnR#n+3d5Rj*sYybfa>Iohr0m==#L?*d49r^U!0B3Tvoe)wD{QG{}C@;&%JpNHi zWuQbN&WtALu*4NIY^tr+e5*T3P3y!+bMHbomrMzM6Wl#(X2q4kcFtpv$Aj~tt(#J+ zSAOnN+?6gzkYW8>hy6& z>5_ZdhlK{4%5#dnv^Ba- zCMSl6tu}kFHt2~ro%uUz-K*9ub^64ceI`HmC^YMdH$JgxmDOnlZX6m^1J=Lx7KuL< z+va3)OLEKn_0!B&<={gJXYZ0<3xabGhB)q%v%gwl{t9$Y_wj)H)3X&S0`$?SfgOI@ zarY74q4n)@@agIkF{X>JcDMiJbCQ+9-HU|QMjYG`bPm>hO%RmmKNEiCRMQnvDOmx6 zgL3?oh|;u@q_oUCu0ZqCD{s#p1=(LdvLXA|#&P90n?wUKe?8@G!>fkV7QdS8R-1P3 zXseYfS>+49byV}+)Z8jRf!mOcpOqi3BWrWbj*$ zkHWu-;^kc5ETu<1soh5rAcT}2Sf0AJ-MlOI=k0GlAKA19yqnRO2p_vU@XEo+;DO;a zeHl^y{*$)fcOBj2r_NsR{%Jq8l8|uafTIe(>XoB0i81GEcMHhEHSQhc?-SY-i7S5` z-hJVx!1dUH>)|JDnk<5A$+`w!Rffvvq|Y>|9Qhy;(RBUQ(b~w+3*m(a;jq{FN0xIB zkIS4WNQ~KYYF0%}5GZ`ea9^>^$?AIo-5YXR(x;^y_sBW!_TAX8?syr~CN18;yEO;w zgl=uVUM`Aib$#{B^=0t(O;I^Ve$y%7h43Nc0rAKiiu$q#y88~0lVY+iyzI#6J*K9w z%GYoq?6v3IS>cs(2?O5L*pc7{mq=Z}$QQjFcYX29HNmv~r-(wsU#qQl;x|sj&noZ% zSdUy^)kGS|`x^?x{#0{v0HjVEi#PC&EM~QDaD8EP=Dwqi=DYd(PJzz~6(qjB*xpz; z`Vx9QqH9M$4aj-3Kk$LRU-Q#lZ=dc-bx<{(l3CB^Q$LD5HXV6$kKxqbUwV=?1tRC4 zBex(?KU`yl7NfHlV_v4eKK(d~H-_Fe&9b#g0q-|Xx=V|8_Z^!|iuOs5yptY&xi)$w zIQB@0T)ctYBS#6-e37){MMOLK*ajz)79CygBgf0p&&4e%s}^-GdWUYFcyr)oa(H-R z)Ww&{@C@@8d#}ejzARIye}k(HX9n*ASM`K03*xUN>aUB2XTj=#@zuMPu z`*TOT59yuPFF|*8dbq7G zS?c<&bK0`zf~9>2d?MR+os-#bkrd9qa|D-{6pk-?WB{AiTL zg;qzA4#Ub$qtT5{KS*)KgZV{wofp~=SH0uK(noj^_+;V>WMXWCNR+=x(~*eFAX@&Y zG@YT5-EiX(PGeC%4+{Y8BU)H6qb!PD^#D zlR1w3!v#}y;tR45X01PcRrcHOe=}cBQ|HK1d#g;?%j(f^se7?MLh!}k)}r-en>=kA zu1&m6;wyb^6=~>Eb?eCeq-W3PpUVa29cMltI(vpC+}P3AY1lCn5~=4`Fz2IPWn{U1 z6L?NmqAM=BUpO|o1?eMYhu(Htc6b$#2MN6dVs%dii5mu#TW>;JKNC{n4-FG6G|L*32 zahcPq-$m%x-=@*uw&lw+@`1@JHoe2wMx!UMM-q;k7(Qw?c1_rgPcC=7B1SG3;{EP7 zSIMd0bR%+}O9);4{qpvpo^Iuwr}z))-O$9>ysVGRm#69r_GgCe1p{ZSGuxcsHAYNS z<%x>Q96+n^HK~X$0g@Z)9>40{lvSG1`U`pv{*d}M_hfNiDq;?74C){RZyU+nPg=UH zsk8Us=H>OD*1eO@9~koM=gFT`Ia-;N5Lf#WAHJ_!_)xtq_r%9s{vWxZTqjE3jgfAxgB}z!%w3to@A z9M~~}-Pnf-dtrV2?IHaF^T>(fOOAqxr(|f$>Bs9Hra9O~I(_@`a0tray9CxX=P%t* zKk!uKe$q>y^fQ<0GQ=(+JsgTA%81V;KG(*ff?q_>xgTxL7dv@nmqlW@j%Rb=yD52_ z=7%;B@?&lW&idMO7>SwZlgJ!M)Ily!Kh)?Tgt*ShX@GePLSbg}qHnplNBL1;{=T%yb2)Isi`flM ziLu_1Ulw0xAEQt4LiKw%a7o`HyLX+`ee3UW4*kp zyu??mJgEN;IYBIsYzw`;nR<-3KiAKz17D_GXg%{TqzmeO)i}sCUZeZBuvYrKI_Z_< zGfVJob>korm(=y#kXsO!(HFMQ>IgADhqLFxcFEj3-5q9w4An_aj1_>|pryrPk|I7o zUXu-C!QM@MOqkf1*PW5(G!g*6FN$M)drR!h#dtaESj2Yp_3Z|2kyj2F-&y!;K9eTH z)keEa+It-SD=qp_2y!uoBNC++OH0Wv-vxR6^4i}~cU;r;b@?DTgtqbhHus*`jXAD= z;zEdkn@7@Jd%mlRzwcBiRPcvAOM+DhfgCO?Sv$#Y+Q2+X?n_zDkq<+< z9+)8i3ZkD}Det%>u^>FrtXQ&opcoZ=_E28Yy7J`baO`$ko=6;@NrV5d7U@%TlvXV2 zE|sFLJ~pDAkLn(>O}@gH;`!UQqWlofv#gXIefP&NL0pVj=q>+N)M7%??%&P;L-mCN z?VMco9pl|xEHaJuAwE*T-|N^?NQ60x$;;|y{}k4s8NIAPjTp$P8QCOy@|_V$a2tIs zaY5fF(Q`v%Gbqttq68n5Sv;_>OI<4BSP1dXk<={d{jxkp*OmQG8hHL7&F*1m6ef!f z$%i{f+|%Z;?Z;&HoQS`G@-LKgb>U_F+LYKA4;QTd&T7TkvfV!0Y7L5_JPIxlD4_GX zV)k6*IJjGsL=b=`D^w|Ei& zf>DnaMHj}U4>+8B7SSP@7t%lCP_ZU89NNb}(KvZ!>=Nft3R*_w*q}Z%!vB-dv86ku z;uWAOJ+lZ8)V;|&UczTYNQvwI&C=jK^5Vbq9>9yI!#1J0Dq333g^TO&O7j!QEkWUD zOqZU_gAX3f+6v6Y^B>9ljXtJ1&p%yjfj|C0z=HX9*y|S516j- zD}p)#w#*|_YQF?sf%#Yc<(k`pYdlz+dk0=TBS+frHTg-o^mz*MrN#3?WU#Dw_of!( zj8jIsYvQ`dUx>ZU!*gU)9LX#-`Xw~)SoVbk@*h% zxGjNhdWRJ#I;JYPKO};eW=Zo~FQe_IsM}K$CGyW}h1`bUX}ZsfM%6|fXXtzR8!Fd3 zCVO8!bw+Mv7~6DC8#}%O+I+_kTBFI9pDNjo_c=nFGNpztqV?8}-m$9~Q8twB$$vmP z=#B)xYQR^Fl;}F}Hb03#dkv-Fu18#b-hX=Zb-^Xk4Ch;}Ua5e-GqP7&6hhe=AqzP_ zEnJ*qNKlVAxp|@of z57!o5HukLxjrBbA4!kK4Gv^G7ZH-9xNRmMBa@n}txxveyY(H9beIK^!{hlBC>fu#$ zuf>&b$uR<(`!G(A_ru5f9v(;qFU}*weqf!Z!W3R-#YP(eb#VtA&)3*1Q>QOvR7jobKSf#D{dDOWMfJ)74%jHa@ZkZ#FrNcuUEB$Pe^- zFaN|LS)S=5ia$1n9I`I&jMF%ta4Pm@%`J7$YEX&BO!)QiqdT|QR)CzQ%nApi{3MH- zl^)ZM-2sm97xc$#{%fNVKF1O=x9D~lhmzhM#$v*!=XHfcL^^G{tn_2T!?=WWIC%MX zbM9XJ&|IpifzUJiFLJd1i=?ZJYUBCZEfgrOh2S2bxVr`tTD-IrcP;L2#ogVVwiGY! zF2O18!8J&6`RDh(A2yqlv*%=XXXfsGWCf(=Fl4qt;$s;BWf&3%3 zgn^+5+slXnXd*$p1u`|l?dav+-o!ZVHsXy=vYxQy2e?~39n4=1*a;gFX$ zzyhJJbsHmcsbhpPyoHWL8H$fgJ(AC{MDq@ro2ZBj=d$`0wUKy77e_XTHn$7^8=xOQ zE|EFzV|j#^2kGxgoFDr^fgZ?Kn&Bz8fUN3w>zfdS%$(iry3+02loLAj#&!zZ3emEm zE&`wM6wR1_3n6(901`)(`Gh!#M>G>Wlob5#Ge~JxT5lHgU(#6*rjG9RP?Sckt;P;> z05CZaa&Ly7vuVS=w8gIN2TcK@_@LcBZECTPx3tqzMb8R{bjR^^i<#|uPs5W{DX2_Fc}rT-OFN+i_;rPhJM zvndFJ+h_fpfUFQdvyeX2h+)8xyTMRYd5a)=%O@5;Quebft0EX!>p;*6<6Hq}hauL& zrAKFHpK2)S*YhD;M#2t8O9#8tRz;oI^85_pb&+LKgaGGg&>jpg zFG#x-%45Kmk*@*Y@zVpW6S?JoEITZWV?VqFl@+umc!$qQQHvipo#JIV7F%7mt4Vl(0s-Rkcw+E3ae}7c@_lErt7R>-N zb3q%3a)MnGr42ubG?}-x07)c2X%R<_)*km6f3C z9rlfrVqqvG6)ChXzXthZ4Zc+z^r`5d9~zhtiu=_R+WOY%8*jZ7IkXE+**17=;d{=| zz-x+bMqSWrj2sR6V24o!8W!jw^1=77Q^?{8-$`!)t&VTf&Y37y&Ip*J{1I`7Znf

    !>sWb|bi@qd zYWiCOr&wzGcY5P;bV42TBR#g+uKg(r{(8BY8uQOKCK)N_Mp{X-q^9UMcm=%Xb4%uChKwU9i0+h zpKW7rppyqFJ9o7_q2d4?TQ@2NLi*VhvD@H|biC}{l;QJ{mvVLC7Bym#=-1fZ61%`- zZlp|6MLQ8+LQfLYpts@4lJY`ib{oXcV4A@a1_D*ol&M!^lR%Bud}NU#rcgtSS~#|o z1C7Q*{wseNI+k5KNs1~dG8dqi8!3s4I%9#jYz%IaeT~3yvachZA7H8&F_V2Z!Q=Zu ze)7HEnz10E(5R;12jE|-xkd(q(~@83?Xq?eX60j}8Zk^m1=7P@hqzm%o*j(0zpB%} z-chCeqc%S&Vfh_heoz7tdi$Iw6gE&0Qa9h*Ne+21Ydz@U)k%=BW-x*~I(}tc)P#sn zZ#}%qEMrsm18L1!71>I&Lh5_oR|x7zyG4l$eN}9wrG8;4eNrXfi4TtqTq2mpX90XK z00bSRzbk(TxeBfiwjq&QrtK>|p;=X(vq4>CFDCcOI^m+Aw_U=Gg40U$5@($fKj+4; zZdEGXM9M5!hP-u=!L8%GH)a5$Sy`JJeux(syr(&dX%`BMl5VkB!I|C-hoC3p%srO} zk903l)#}N6%ez zZnk&_aj>RHq*j4&%#wuQZ?sFa!?Z2-@==PoQ`jbQ;irIUYGI-9ULn%LGJ(aDy!p3V$#qA9P9abpcZUW36yDC1Zp+?1v?P%49HhK!Cw?4P-Xq>j(w1rTF`=E zN+(oT1xk%kcZ0uW4K>jECWgcmEHT&G4pkbJF%`nGe&#o;3&u<-uk!4|oXf6<{mM>B zEa0u`%iE=w2Lk9=GZGPUAzZ)IB2S4;xN(xW-eFebi#lL+Ziro|z1J0tVwlCA*Z+V% zKV~f3WJf&BUi*cuKWwu_>liF>9dcxsKvH=^x4LCdEcmfdF~QC%AQyiwl^Xy{z%Nju z_YUP7YZQu3!q=Ez=?Z##lEo!UyHr9BL3-a(?@m^jFuEjiZ%k)y@<&0GX|%*U>}vdm z!#3wv6KuM}Gn__*5u=07mp%)k;L-&^&}(e{5`1BVK9OS!I}P`{!OKe`#m*S`AEG>pD(0+0_0^Vm)eBu<@wr;jJGT_Vx7>%F z54&E;4KaL5qAnlr@YlT(8T0aaEhP#KfmhizpIzEcDek98FOoWMOPbP$`k=L5p1e~gt%dN_p#lBu ztAkjl(XtrRGEX|F@<&<5SwWo-*GUC(_sorbFKa472B?x9FaDq(<^t2N*tlIli&p!7 zPGlD6uL55$eXK1?#+}r^aG%avh^1Vh&R1eUG-Ap=zLET(@O3>@wJy+S^ZFK^!P-#S}Q5vm>^T9{^(0*&vCIf&7|3g@2R2{@mG`3 zrv0}K=3I;{ncUJg5*3$v^`75C7#B6$mn0elMVzl}tmpoHCcb_U`dHNt;WOFvGg zD1QJ#-LvPE>Fk+Bvs;pUV6!;QhxGyko`N5+X50x6Vz#+XVk*-E_@L-@UZ6F396AzD zIc?B=&kHJ@_&K^nZ>WPUrYCZOUwG`KT{(5Z>LigKT|N2Z?`jlD+5Ofq7a7}AH{^P0 z(KG=m_q4T_4;-svkJuZXFA&`p+m*icw-K|g)YLz2Iz&d?XTQA>!Xe= zkABRYc%gs2YwOb)(NXnl$*nZY_I1S8j-ir)F|8EeWiL}lA3|1~JnL?0z&GJa3z6cx z>}lj2SwSlf&FjA0l})F(PIaAJ_SgKE<`A!n6X{bIQ5Tt?dk0TOIS_jXfoqQ|;`Qr& zY`1~K>y6G{IeYs!&Gt?cF5-h*qG!RkFKaY6H?)s}w{rF1uWeLi%Rwva6+)|I9X*_m zbIZYP5D!)4m?_$|CBRzbd@Ji2el2H3bmJPsH7w1ez17KiXKm#7@8dsqHtbb)I8N5f zp04ikI-(?bp8u4#^1n8sz6`*rt2)$%mSq83zAEc~1tffv0Gl&9@6YhUe7z(m?yf>d zPF!e9gV!eB%u2Ttv$$RWQDeRqFRi#viPS6oSE6Tg%HBi8&w;=a}2$m{B6jw zn{}hIhHKnpjXnAL$1XdRxm2{veId^BR1=E;&X$RCs3YyKh(3GsJzDChUCOWXg;{kS zGqM9)OeSEgB|=SJia%?u9|r--_AO?}Svt=q8noP1?KV&zsToCnAoc-3AXAqycQSP>+6#B-M;GPTs;A-=zBP!+!LE4@BpckNfGI7-&dfZj6snLke-k z|NF?sO3Xfq!2$@G8tSomL?(x$M>@WlKM(FS`wQlEks?5FXSH1T2=xFVY#>~@m`zdg zS!REwOc)9YQ4Qa&fkg)B$a!m!j%rZ)n*vyyFueoJKUN{hj?66~Pp45jSd5^(!U^e93O{zFILO(A#f?h~H7#r*NOR z@ruqlYOC>B&$$s0ZX8DU-hrH7=I$AR5T;Ng_QN@bx^;cRi*C_x4Bg@W*y8cgSlh-t z5`z-Sn|$w8(L1?DG33M<3Piz%L<97ggxqL%n&IL?9R5{g>zsVD^wDy(Zd(i-8<61O z%enxdW}H$}MBX{37~QRBcajJGzbT{-`@s}MhWu_DZ#(+FHlgLokA4eaK^PB(zGJNP zi9e$1B%7h+19L&FZLxeaEV<6#_Cmi49MHWAH5+6d@IBDt>9ftA-NYFiZ2&YQ9@L+W>lP7>}Av2 zyZ*GLL`eZTi>tw`p+4>Gu6dy#G!F*i!Y0m}Ok zo9Q7)Z2e9?fqP=NfNBhKHT0}9Gw~pVe_YLj8qI;I@tp8+=<%Be>8hgSwsFKkXo`?o z%cd|-XYN7JmxX8*MJ9xucm`8&Q{j5BkRO$Xaz;soLQq^S;tVc+x|I;;)~_yKK20J% zHF4GdR`JI)3AM4fn_*SeFTwX}gDzkMKN5Nnp0f}`;A7jeMIt6clW`{X@BNc%IIbc@ zUNBpVMY#}b=XnWt8hdrB?4#f|!iFYHSL)aUOe%<^9tI zgr)UTe-I+bJ>t@9x5BSSBR)ywtAs0bX;AA=J_4uo>muBC7t_v!QXBI4V`vyU$D6-U zC2tT^!Z=R5;}ol63Kn9YZi&}XtUDk@O5wZSWq4z*!!E;@cbYLON~w7=CBx^UVlDHWwSMd~Y@-qMNB*I0&h7>>(R1G73H_gnFua4xM zMIy}$uU8%3B3$n&Ku+XIQr~kNo`etz#XdeLpKuF$s{@5uQ?RuI3>h1u*9Vj1gP!!*Y8((@qj)pdwzmD-vwd_qh@}g0ADIbj|KEekoM>_{| z{@j(+_6N;MpD7=mV2XVxWfhrQNPhh^ z^FViuHRtXvT1k=U|udXQQO_*LSHRTj~uM(3@pGJ0Qa2_@%4e1X+IPFk3)(i!~lZP|# zY%| zY4HI#`=mu@&!1-`r$xgYkV=H2A^|6bB$HJ38w}4Obxo#TLzM;?zi7#d{*>s=k_NGz z6uBroSf-Td)f1z^vF$XMAg%}5V9UU{(zKRLyN_V|Vj~(SIF-4fu!eDGmRtJOyxC*; z`uUKOHyf%-L3``#CmKZU|ZVL4lqIZp``D`kP6K ztgt((CF`SV%$-}58~nYyTd{K>s!4sBTjtdwfls8~E!O%5nO%3U!d^6>&(mt~uYmYG z1-s%zyR}H=TTuu6z$niW`Gnysu;B?HqS z$`ZKsbS&p{76m8<`8BV8fOe@BxpG=xMO81jR2>f$d*dRAoK0LYKE30Z7U@a}JE~&6 zN3#2kF`AQYPt9;fp%5pZxMgV(NXYbWwepCTaEOAbF-EBg2XQ8c{&$&*w{sasuW*Wp z${YwK(X0)^3M4Y=KC}ROYlx0&u;p&W`u?aVt#t%T;>ncoAT0;L2|QG6hG!O}qz zf~xwD5gS!Kx#Y>l`Kw&@_OEi9#7+FOTt4XGkul88%fw}1J^s5`*maA`J@Iir%Og4M zm80#<^6wrOw0TLz8wV5a*S{3Q&bp*$Haml@!bWi_aZpW!akd%`P7DtW#i%QvRsj+F zk#?IRM<3EG=rGlL|BOoZWjdTVA6)bb#d4~Ju1|*BokkV_LK6T{iZe&GRm+B6?L${y z=r}M0`z%%|YdOEn(rBSH$W%y<3OU4L(c={F1dLW=4mzOWZb{hTLtab|7h@avR1q=l-aW^h0~sy6vW4@??B9dsdtaF%+MpVMa*HRoYwJMtb;E28 zS#Jsx#@*Y7a$({^{50E!o_!YRysNZfvi4?JzMsa_#H(Wb$Fd`|?cICF#Wuq2MpVm? zhSbyBf&59tADAn+`_wKcwd*4ha1++8x&Tvr*TjRT`u}lLEjERu?f-3%m*qha^$Z-rmZE>6d)s+?@kPp+!(L5b152o{Jp|1fU z+zSE5oU1qg%2)^K2X);27}qM7T~98u-KqC- zPX&YT4|4X_RMEWQ@87pi?o zYE{ZpU40UM0G|rY$oxyK6a4HRuqWgC@-<1{@?g??{MY{OWIN(H7b}=5>mE$z7&L?2 z{ci9-FwM$1rLQ^E_Fnn%@+{(EwYHD^!j`fsKI07gt#(mqBu1ZyguDGyOm1I)P92{5wtII`9auMV;W}Vo}sTQgZwJsmDqlUK2e#uesu8KKb=e}-0IZFNJG61d)qyAr{;ciPC#il=@Xzj?>B z?dRL&cy7PiuPzUZ(QC0ih%^t6D$bBrJ?!h!-=rC(ZxjgvhAlH}KROIS>a?#tiM5WO z{dsgw|0OPhxW>QMiA<~9xQ{F5zLe>%nLBCnXkL8XjYCLH1s>!F&v6zt$0z2ul730+ zC+VasT955Y?jAQbB0<3!x~bj@e{B#SBuP_2 z2_zetf(&J6Z!85=y7`huS&v23kNXndFZxiwbf3A+>#Y%&*A4i;-lr-o`@dRM-Lbp> zYE`{+l=oZ?>vL;o(nIN>!O_iT)ENM5vS@HbbWUXjcHw{o89FGnLNAl`NYlBM$BzC1 zpoPKfHZZ=?(GfRsF63T02)pyR1^LfT?Opo$OB$gnc~k$MBKGA17?_9uaB6V&M zaL_N5TjjvH?>8_R5Uiyku(sx1YYi@%BZh?o{yd!APU>=&kLi}4jJ^g>R5jGQTF@$! zUU5HK6HAH?XvE>98k*-wOyWq&neS<(P4kToOD$a5!bMK(-iT-bVW-Q-Yju1D+1&hX zrG#)o-V#~KLr{5Y-h|wu&%^PQ&6S*`kzHiOz=nK0=j=|^Z#;#Ni{eT>i%?qVsfLH7 zsZvdN8w^Q4Zf=g=gyBwNaPLP8G0gRAq%0HO)+Q)&+;n?`+5+Z_2Fm@}rts3G@uq`WyNvNs$Q+&yOKJb6Ah9exO+ z(o{koOh!ygGO8At)%5E*sOe&{8yocv-P;1o=<)r)4tX%DQw2}#CaG5AgV_*b^0p!4T;Urtp_t`c zLYz~d-EdiQ7Z4pP9p*X>i9$6JYYo-1(cGo8w0gY^!dGX3)z78a&Bq4fj)eiCRF5xG z00~6z$q@_~WAJd1V}@O6_}i5 z;D-u?gWJ@utt5+%XVl~e#SktfYR4hw)=PJ>fjkE@$rjpIwEtBXhQ3kk_hIXz+cpvP z>qee6m7D{UxcoVtv-?k!u}*wydF8nfdLm?)= zK-j8=hI~l>#%Qh9zywiH+-5cb+`z=@b=pQ4auNO%M~pJHi1qU>o$IO)-z9*NW!UK) z#6!5bg-SM!Wj)En)3i|aW=!NHh1OBLA_E+LX1m3Mrha?aRsk>r~j zXpboNQTxtA(TlRuOYO1C^q_BI&`J;ZGlluY)z`8&6OXVT$-Z_o!5wkLxk1#428%wd zVEJnz3f%y~w16N-`ChDw0b&Z-h?zX{c@ zlhcw>7q!Y=bPGYd6itor1&lEx9dQKD@l@Co@!M1p6!2swzQ`7yekI%vIjBK7ZUiVh^T3Zd$}mdYe?m8U%zV# z_~n6x>sE{}T^@uNTp+x(Z#L*AO*dVGUIzc@i!I7M4!ZsZ+%@7}>*^c-73UCiH6Dn1 zkoD8roNk`R_p(CT%bcI8Q22p;fZ6x5?qxA1DL%~Sxc0OU;(_{?DQ7e0ZS1l*l-gwDxcvAKT>}D1u=+NHjE1@Cv~`E&!3a~q|a~Ob}6^$Tl)l`%6HR= z9{3{0nq&>`j!?um(F32;aA}AO$iLVKSbJSEh@$jzXPvfDpkTRpP2 zIM5cYAwg69zP>Tub{&S&{U7#nNXX?UJ~~JC>qA&Pc=t1A%!3P9=%%PBC&_)eh-Xwc z-sc>$jTe#GK`k-A(WC0E6susnCn@vKDT(|=|J>818!Hp7eE;b^*f7#H*C2G@@sE3> zD?Kt29Q~elY;`Uqc2n~9-B$<9o6Ql5YdJ2NDFg!P1{52K`1LWiyAm#4GB=NI@|dZXR#U zs!f2)-XHTkan;geZB#r-puL|e`nj_Qloq(Hb2g)hErXPSo`{lnA2yy3VQQ--NEV9I zIvks*-|zYCv0wlNs#crt4z{Mt)YaW$WzM?+H4z&;uNt-t)W)YXJ@Qa zv?G!!+cjo)+p>rBQ_Y(COokNh;kcK%5PNss$br_s~w%x_Z@mO@oU6f{WTd*aHe%VF%bI;@Pc% zXp6PGHrsDLtmy{jNGFPN{tPVoaJ>yF3MqV7h!@i#KgSRhJGp($Mebaqob&*y0p5g- zmd`O1J%@^Vyy2}o&fOA~|Lp{OKLsB3JJce}nBBln$e5c9qa5 z!drHbebU)A7AnMtG2etq#3oum{+mmvyBlc7axAe06ifvs`T{ZrSUo;R6swW`Fofj{ z>w9_*H9dL|_o$XrtC>`G19UaL%;QLmNRWS3qh_fE6HtJE=%2o|_?MVd zwIzJW)BE5(gl)vI>n-o6ar2!ZyN49FnOwIIx$Pp}liDgiOZuzN_ceL0p(mPm>evms zzj^+V*$h%W#_pju(;_^XePoO}xP1;qE4Zb`EEYHkByBGR4Qe4fUZvGqa1qPBvz z;9+$h4<(gm)^awg2&(-EEa+vjVx?Q8myTMq5AL|fN1%VWMXpn;J%Y=OXaF_~mOp&= z(qS3!OWM9j0uJw_l!xX9YGArfy-C=QeFg-`M#B>;B#<+1iOH++<(LPIIGZIYZW0^c zrNGwLsAnG{^BT83Q+B@C`Fpqezaea8d4oMgq;`vkz;eA%r$&Qssop)n5r_#30O3Jpo#rqp^y$P(YpmZ6VXs#sKRYJ@sd&t!DhLCrZXHHUaKYGbi& z_FfGN%QZjB7RGz=l~L+7Cp=^A`K4Y8c5DG6zRMP3pv-QIWln{5tn>j+O@Wslv2tz0 z6UASZ7~UsMLaf*;d9xoFnabkP|bQunC2SU>ODfEr8 z2ZcU-i|iEq=71AK3gPC>7}F)b!0@(6>d#5I&Xy7C?RWpXGJ6FAjMzq-)8WEtk~|~#G>6}>nJ|Uj zhQg8+EY$uuK^US2Y*2)QLv|`^c3QftZ``t9) zi&t?q@ttr~oy7?fAB8&?#Li5#dAwFoIhURHUNdRS&3U9myisXd`UEK$*?AL$g6f)c z!#twPwE8}2)CJo5jHqPiE6Q~mj2F|6S;<*1O~+7SZJ7_iX`DS`-nETMNNk?@45KS2 zX6#&sw(xE9RBn9qazYm53HX6%%2& zLG+d#l`*k%`k=t|C3>DyIAQV5z3-=_x*u|shf}FkSewLlCPc8NFjBE@y431~F&mhu zAI*$nvK+bBWYSvnHb?0NQIzHYhDJ@u?=L+*uHlN8%C=`eFwFMGtk zK&d@BIiX6e3uCm;!`$!FLu!8vFY*<#{BCBJgnnv27=1NR2Sj`mz3658hspGTpYZQ4 z9fz4v5-h`tyUH=1^Dcp?PQ|mfkThI-wv;N(!RjxU%0FYnzg+68<3VgDDAo%-gI{{Z zQjCa2lDzl|SOmEe9f|7VzcL%)?q!5%Pv;q}j3S>uenzbPR+rqUIeOZ|1@Rq~#O!7J zk~8O0Kt4Z}B_U_j;1$lIXd)8#2`WZh7xE-m;+)FH=o3ZYDwI~L+humO1w54xzWYX1 zRTt^LI05nL#vd26ook7YI*?bU>|of){HFr4_GGB_zTDY1m+0z%?Am7UHWxkR zruU~Y!OkLIFfnj*>5;|X?i_dF7ISd7LO`|Peuf<5=pcs})3 z%!u$qMRL@8vw1UFei(IV4I%o5g&!(B6-_uMFr}#eSpv#?Vrd`&<(p!g$$H-DWg{Hp zuJg>Z-RaGCD)vcNFT5+JQabopRnJv~wc`eMbk|P*S_%j7dPMeH8QDdcr@DJ`vO`&4 zHW~gQm?W5|sis(*Vo`coMz8a`9-rD|L9J0Yw{vQq>0aGWvdG#qEaFglL7sHl=nZLo zd0gHPeE!MRX%n}hXDs%>p^3M3kfP}64Ejud5%XZrB9gf3^hV7I^9~r%4v)fKq&8m( zS|b-nolA#D>SEgf;*odW^55Ux=Z$N<>(!l#9c?Z!PGdHZT$CJ-?i!aO11W;eElBFJQt~Y*csd3roAV&!F1jZN8n9g0`cUzNNF^{ceba$|$Cu zewUZPIU&=(1mnf$qF#~m^68P@KoqyDFs4jWeK7O}jPC)pPhb4sY9fq4`0rA;YO zB9*a`YlZn6QRuEfDQl<2D|%8LfXIWsQPbCBGs%q1bP&gvC>eX5cOm2Y3O9w5%em1z zavGNc-jOn2aq)cb+!)96?dbUaXwj{(0xtjxEJogR^}I?Xb>#zJ9C;0lX~`Ex97mGT z1tYxbcQ8a|aynMVbIhLoRnqEGW6WgKCnCJHCG8I3wVOESHY?NRMGBs+Hci5hMK)HT zx;f5Z3UN@#Hu!5w+~b$9p`Q@%4m8A z(7!3YcEZI@3!L_`I(!*}TU71P_ZnYuyv=7zRv+7)7HF#?S}&0>wMNM1>iF$cXY;=4 z;y0FY29fr#V_E2?Ocot{k%=n2rYMpEk?n-&c+chkMbo={C}Fb?8fYGF1$U^%{IQn6luaGVUL*ZZq_Z2YE_Ar*U_XUi?a&J+klt*`a2TOcUwW>D+yBUa{r88Go;E{>-Y?44^kF0o zxQKmq?AV6_TE-8X4U|vct@zjoud8uZ*@m#yq08nn+kR z$Gk9n)&#fcIATT5y-|T-`id4PM?%V4c_;io$PFSd2%Ee@^U#s^UV$M(F( znow-_2mUzXqH;$*q>sQ@jHsjTtA!YkP0osgeUFjdE=cp#%U}NyV&XqGQ?g7UbF1yf zGGW6l34L&$O)jSwRR=*N=!<+7hD%i`1Wj-z>cZN6q!TAzc&rMj8@aM2i$i>^`P@rF zV%y@0PkZdELvtt;SldxZrix{nkRdng<h8uefK3;0i(nCXwdiu3mPxkAAE zg=z)y;N>Ay!D3; z=1pg%ss+ZD8u-}nLmy64u68(pTtQ_SI^4%*ItwFeekB#CCGq%;M~!yaySUL%4DZF; ziplD*x*p|gF$IsLKW%C6T2hNutg=7Ed@QiXwo+$VF)3;g@A@3+8G6UI#kKyaSdG87 z*Uycrvq;PBAa*XO18bDSc13%xMpTsVlyLeFD-+XICD*B5U6cDNX)>axMVok;_#8ed zTW+vDLw~iU5}wvDQVgSeYYK~x7Lj3Ff!)EMam2Gf3Gv_%jBYh0Rb7y=dW2Pdm~Zo{j~2aiNr9v0WRjc~3vcg+aO9?tw0Q8( z?}YePPzPP~h`P)Um&Z(rUJ<0$(pA+bO_4i$`7KO+Q_B*`hCDsOPgeva+r$lWsNI^% z3y_;5q*wY^?>7C&TwNXg_774Yt7lT+w5_+n^pDxp*DbtTYq<)(WF*0jhp8w=^GBcY z)+)k?lTW=>xEk}XR=s#1?mB2z^o!h&4ztJZbanaLj10(cgj$-xN>p0>F2Y`&egPJm zpZMDh(yEKTEntsou=@6L{3Kqh=G=7>aWMM>Po+GGoYHZ-3VkAA^@zj$8KQH{lIYq@ z^?P4Nu(Igu$~oznyBTpnGvWMO6 zHR~dk;5y{_t3bF&|k7K7{W#*bSe4 zmRI|z_BpFMxp?95=Js(dZ@hl*G5hj%&{5ai$6#Xb=!q;@kpajZ@?S&4NAe z@}0pYs})OxERMxw0GMxAjKdrclmS&wR;w|lOZdo-SfzH{#e}&RFk!RH6^9}=;U=-e zh4Le!FC$w4Q+p~iS9d~Otj{Lbm?P{*a;kjxM^NTW1cxrjAC)UuGz03BdX8#elQeOg zeRUCho2$*KV z=X9a2(MD`>Tv@_Ulh>n~qr`4b;a4lNbXgy_)k8jI&O|C44AM}Ui`04Ml6a=L3rR(Z z`I9U;qKG%;W|0nSmcsFzJwtpc%BpK6)4qM)<0G3)PjxX8a(BXoX$?7DUtq5%W}MyR z<6sM?;kax&c}<5suRyu%_7E{7Y7lXSenE5)1!H^HO^(k`)i7QwX%(-TuxBhIAwtAT z(79$PXSFHf$9u2V&oLLj5Jc#bIgx&y4r>`YIY>E-#Er@L>9`HbqihS-cYDPPKZB zfp}zlvKeC^EkfOJoTI1d@*GbMMVvhY&Dtj1a2%6ojs5MNm^XR6oCtdXW2<6apte3Q z0XUHSE*AQ;<7F0xv^0~G1sG?hG7~0W?DMwS^Nw}Oeu-!1rY~34({`Yx+#i%bH6q|$ z=xeos(YrYZQ-4SW60n#iDB&~eN`GzP4nUw87jrlrt7ps~8$&{B_&dlQZpyDawwX{j z-QHJo=d^in){MWt8p9>YB995zx?sUdnA^Ywl7eRpyHDTOW7wMmeu4IaM?ECc2JH#hWVb)oKC$B&uzcR_46$`G%qJRQJjk=XcU8f=$T-cy^2(ZwU1lFaS zRqQxq>-^bK@wSWMJ(MPfW8__kQ|^rZ!!pL;yg-qJ(@UzqSNJv=#%N?!_zIJ+$~oL7>%&RddO@(u*^|p zwK)q-v#W4@?DY#f!PJ87KuCQFD@b$5SfeJX{djMkj~_SF*-DJQv@T)n*ig{G`FpXa zYSNM}U?N`GrBs0jn)Et)0|(61YZD>z?9672a>fM8lT60q1s+}BZ6=%kr5}d6Wq$k4ge5jZa{Rci3v|UjzY$_ba$q&&)n)q-WrA#|T$! z@Xx`4FEmEr(xl;GJ`*kwpj#Gr?&FqT^=l!S^4^cnpvaGUY+gGX>X|a~;OmX*WL+|O z2619CA)PRN2LHs>05*RvjbF-EO7q~jiL$tKZtD^maq6j9>;3vD|IKdyL2bhRgSE(1 z)Y{bq_N5Qej1y=tZ$f*nE}?OuPXLj>p$S7BYscU-Rx+$DPW-C}a(QjlxY5R9Nlker zZR6hrwnJ8FMuIIlEl2KLDk<(?gs67$%?Gq<5?vk5ZT9d6KP2G(AleH?}eKPwb`M~ajYE%p1&;qrJ@ zMrZJ+d~kF=_6|Zcbs$nxECju$+Z8>^UJ?StH$$>jD@HzCLJJusMa-+;Y>WxDs zQq!Fd&+~@)n?9J|UifFtE;~rsg~gHq)nz^+`N)TG5#9 z6r`8lDbtY~KU&cg(j8o<14n(CW#Xw4{Eg#DhavWm@(HOg(+~^I1dN8){-n4Ig9PT% zNbY1D$0kS~*Ajag0)sJ+p9QWLw{XP7n~L=^mz^2T+46|{zkzAh#93O$&pxeuQ}-*5 zHInT^80vMYCPcJ4oJ;R|H3o9cTL;f%z?DuVeF|gojzqdOOBTCAIZ+#*{EW~dIO?hg z8EFch$B!>jD;=Hf?JO$pY8D0a;OTGr4ze8{geBxibKoxhz-v-Q-v~GN&cuA=uK~Mg zlg9Mt*3Ga+%Smxv@vW+BbuKdc{eO>DaTm%Z@2Kn^Q63By0%jePZi0t86(gt5zeZ8K zRA}4&q~=GNdAp4~zoZXQPK=?fbW^qSzjHOD3#=Gztt!S4F&DM`IEMDC!fNZur4JFD zNz}iu!E&o#sWQYSq%*<1YN!OhoLrWGxe29Mii~>@+}xwUbI@r>#SY@7bqQLi+R5$c z=i=F6yw+4WhWX3G$8{fc_k;-TB+868nYLbcCcd%l3f$Ur-TPZkzu>+&iIP6Xi{Nk4 zG2aIquJ>GXzmsl{a=$Fyy6GTFKUOzkr?KOwtJ4{c$zNzAoP4Tsa0Cj3)1eWT~R@_SOZ?Kwla%sCZKubR-9WG5jCL;DTwFMPsh52U7)flLD zWj>UgIh z(EDTOD&@n#xsSAD3BKJU>0)iyCU)~|z_<_e)-AB%H!7w|O*jKgPsh1w9E4QTdMCt2 zp42*eOT+8hNejC=?1reLj1kT}gr@#l+6#$w33Ys>{v{Wh{mNF8XTa70wK>va+S17= z7s}P6@kKT?YikmBG!C*w(?69HH(5Sk;49NI{OT6TmpXoufZ_Id($QD>g?y{|4quX6 zq9)63!r*IYXD8pQN4k860qgk%AI}fg^UDR(hd~!vWJt4M`3@{ZgN7x3SQF3UmG69) z3@kNrNtJH3Bd8(fs6FxyYh~1JFYm=WL(jN=TEMqa_sgL&v#02nL!%cJ<9+a;)ef>D zrI~jc&cnNksSl>-kdGmSA}|{2W)L`k1kd$%GDV(8&A?eJr8)x#==HM#pZ8|3ji{(P zNbMLrS6e6kj)Hq&5fSr&%jt~;Q=X#vF0ZDn5}<`^ly;mkslAcOVGD;qoY_) z;a^8b<{=6*EcEAqT<^HY^}a|${TPPJEJUy_POT#zyWxGKD(;=MA@NnL-S;!Lm4Xh_ zVZ!+gTpJq=-}*z&1PY|{iQ!=3Jnm_&p+DQ+z^&!(RV1UMM!lT>%)SEa;q^F0gOzsu z+Rl(n6u%c*ZXAKDBZP;%S>swlVfn0ZeKT3bw~>B_%K8rz*ZM_G0UU&dn(O?|*#mfZ zRj{V_tNV&pzD7Ntih19~W&Ee;T8G1UI~()*-LsR4{_<8~=c{ne6e6T!uxdBgI}7*r z#ZbTHVxdGKYiU;RsyS2tzqO3$SMY`}MI!w>M87+Lt*I_(`YABtY3DE%(~RTWZU03r ziNz84#o*7s+n25E^ysfB!JY5432XwnUqg(B-)+0E zMC|R%(Si{ByGS=61p@EkeGXe|W0KxOxaZ7B&7B4#GcXlDB6-D)j;=(2!A=R?`9Bpc zVB=%V4#%UQ?AQVkfAO2A*2V#opl`f~;(*%?=1EBoq!)3(dO~eawmTcUbyt#CyV3&N zeo%Qm*>3-j4!q!sGkinppcOJ6GVa-{O#4S_eRy7&p*c{Oj03WfgyafjbpJTvuVcuH zmrn@m{$z01twT!Y5MkxQO0S9{`V+wkMa=g|Ag`Q{{c$?y1X9kKh4C-+V^tf{I= zN<^cG92$s#6kg+S?wTa+;>8qxOa+)2O3XtI7&AB**BVrXv}^!*;u@*M2uFVqW1j-G zvL5zDIdu9O#y8Zx$_$1AiM1@Y>DYhsIM(8tsDTBB*$_&9@N*Rqv&$#oOf?gTvIBh- zh!3w{4iGsX5>6^0;&OzmcT8FMU>hIsZ8=DcE5BW578RU7r?0{D?K|Kp5YZvH;*y5ZUWL(br)V)Ah%~-#1o)I0k}_14*Pr z?UDK%qJ~{;#8{_xcz6Fjc}f1HB8O37g&vOwdv^peF2@*W4VwLnBD5swxx%DmA;63S ztAPlgmV<)0ga2@Y*B+65feRo!o5gO@^-iCyDf<7Qf z4HX^-0%U3Fv_Kxskmh=lOr`M1$Is1ZSXNrImcc2OK>>K7a;D^{7LMqy1&`PTMI8L|39v96aeH7D%w}-#ki5yE{wpW#l`KevfWdA1u~R zA!xFQdGA{yh@bJzrAlfPpGrGJ{*_^}Bpigkk_H~66XvO4m@JoVffc%?g^v&G&+Xu7 zU(IL#!AkhEj^xVI%GW2BfO{mp%`yx{N`Hus7YuJrw zhRt(nHc+dX>qJ?hdGq`|218 z@c~eH5#?zCD*+ikI*w#Y>~%;M@`oEC(Ylc$l!-o<>x7{|&0VIdj{s|%1ptdNG)xZf z=R?SRDN?Dc@hp9nP#2 zUD*QXLFa>xu{*k)avbbSV?moyl^s2(2_%^%1UYy0Y=*6Lhx|l2z#I7MSk*HmvESCjBGM&ff;&jzS{c@quDlEsiR~8BgtQvuygi|jf5lmaprE& zCk=BZ&J!_Y0_qQ+P8#?eI3)Pa)A26q81Hcd{yVYI1^m8+LFwVeb8P( zUEg>pSwYs$i@b;>Ug|_V7s;20K%KPG+P0ypuDX!IQ>>j)j-G!^?^<==>Y;5hZZKdo zc($YX5qDau=T64<%5j8iOd8?v85d2~ZAsD#sjotNg(>@iYHItZ>K@^GpPt|3izWw~ z$Cl7{zMB14kq+#<^mpcSq-z(QlZK0r-_9g6b=@JW6p3eZRvYO|0!>J+5zMyQMH#KBdDlX|1;OLChs_C7+IUX`Yot^Ylv>kf8x*Km)i z=|xf94IEXuF>eeRPn8a2LEi5E|EuG@@*&6y*t-#anl;D*5vq3SX2O3Y5Yl{@8a3; z6LYiQv6Qyo8nTLFstmviIT(7ubiJeS7gY&bmsK)if21xdiCH;+G|G5dLvb4E6w%gF zRdy6|lu{J%zy4vPO}9 z`_#taMdkcM4+7B|%{oatnL~MjoIh-HNouyK^lW3q}S7;RX ztXfy6R-sZXYHo^L>dFY+p^@AV{R;VG!yqQy;ifT)b*M)McnlMuv2J!`$Ee(z-q6A9?-T!!9cUdSl`| zH%fzLsRaMJMBYA|nsd^B)ko>D+og93G&bRv{xbJc^JEQ4oT6a1s% zCd#^H;FbB}_SDpEF*NS&KJC=1;U=cR{zqkIZNjltBPEkZA3u+{=7B*`oD>OVzU#0{ z!;Xbr?=pFAX&o|#*g|yNsuCt8gu0uX;lg=z>Jo|^|e8BNnTo|zp~3};C`(_t`>3uBN23@01Mgo!kLB{aHJtnn(aX4MihG# zN1Ml&glz2xix86(_fi*lZ0)j>9dD?Y5~m#sVrO)n>|;?W3h~4Tt?Xl2n?{F? z6Nh&#VP`Fv#f_~z+LC84?CGe>um~@u!$eJblot=H)8< zl83=vJiXsZhbWea9n572PVYA}#~Bw;whMioAWFf{3R016Qd|7;{0-!F!pH(xsXAerdZpz0+1O(dJ6tTbj*6RmD7ix#%le2x>_L({_@>4b zC7x#jEVz~N|1q z1S1PSPg&Et<->!oiS0gFF@5T@aw12jWPwAx`3k^2Q3{BXTY?Gxq4*v8@=@iZ!Ww=R z9Iyy8ToeLAw;|Z%o}!8FnogoGykd~|47AB0yhJ$Ed}7`-U5D-^f{KI$Y>1sD%3 zodMri((CYm!rYY!*HqqDxh)f(^jGw<$U`ZKVTTRK(avv&PNQu2rS{~G>55+FYqJM% z9#7k@W2w0$bLnO^8!J>~mS^+V9&;P#)5~{kUrD0Y8DeH5iQul%uVFKM$>;C14k!zc z*xkL7PEf3tQJ*-3X`}kaM}THVkM?>HuGThbal4-i(5^C(k2#N;(=%Y(N9yX=TONTk z;Jy+1L>5)~ze6i%0`fd`b48UHC1=dGVosC345@Y$QKqt#MK`Xbc0v;l(~kX}p{-zB zZ=Wx6{@Y%;{yr!yU-u+Ku<;(FE)A_sDjL zSeBLe1gCHZk#6T(5s-q13=H;SEr|i^ivvotBb*<_NS+lrT`UNx=OX}A9k0h7cEnj3 z5f`*>zu_qqe5OPP)HVjjun!c7v~fX|fOgaoj@ig%i9-?84~O&E7s0|I%J6JLC$Wtf z1;BB8`Kt!pvP4jr_INMJdqyk*wJihH!z3wE3~AXMKlK90j#*+KR${iCjs%Q;LrlGbFhb2z)n; z4?7=Xc95I^l*l!_oBf*}8OB8%;Gi6m^Nyr!i2y%hQ+sn%qqG^p&($Hr-4Fu`Qj%@f zoIL>hyuYI#PqCmYfK1P5$xE~a8blrUI6{y4^A%xUJG%@%QP>=4Dp)NV1LX55t z-lGqXgP|T_TU(-WubXbYf*Q&KSpfIUeIJH*bae|rf|kS=@}0s9o@RynGSWlxFYM!b zFFWYvj>m*-$dH$l5;64}tyYQc`yZJ?3~fV#gnA+?&1gpMkULPA1)W&(cVGLs2p3aB zQiUD1oC0|J9pVA6;ICy75EkN}b;Mrrk?oJj_C^giN6LuuvrspWNC0KRz~l??rUGP6 zR}Mtt*W0Z3;#R7QjYS9d<%TADHPZW>)gVmJ!B0eU1F(C6@OQkNaEuqdNM z$=~jX6IiV@1OB3nX1tO56GUM#& z8&=~rbj>l3E2{p!oZ`K3Mvj2u^@RNGP$;Zr4Ab!;lgFL?gm6R-BmT$$jQeO><~1dI z!7L#HUR1bejp+`n{_Z!TeMzEFas|baQuo zBYgJ4Um8utskF%m^w5CDOkgbwjDZQZTP8JM!(;;SSN6?5F_cFm?vi6IR#MqID6ji< z?uavh2G&U}Dl!_V|0psYX(PZ~LxIZWfQk)zS<8nWB8T}2C_q9hIxdVJ;ZAj^2q|WX zW{>^D(@f)|G{X)?B%$oIs7QUq@$i*&rokY&en6Dvq1*4eK659scj11lHT$vt5ir5v zjB1)DuP+0bqEGH@JwWM;#PPV=Vz|itmJ)lV1OB*eJ}x}hQD-`WB5lNfHEfC9oJM{eoUGb5Gz`f{48cN_T z7bJ%VI-@UalV_tOse0ER3!^-l}z)%p!2$>UaKZgfQ6l6N+x<2Idiwswr zg5;G2K4@dV=IQfY9W2;!K;AA(SGS+haz7Bi=WjSlpma21r|5>@{ zjj(W?A-^mz<2c6mI2OTkNUqnW$S76$G8L0MvhuP2c#MSo=?D66CBmIYc*a>w6IO)8 zdL%x9{Y##Zak?%q5#?Ex%k0occw7F1OX(h9g4R&F&i|8N&wbjAe*iJx*TJc_jl*)wj zaQA0XO5Do{9Y88a-I4B66Q>l*LnxTpl5Jo`_*0KUSO<;I9i=kzkT5YZsQ5T3ds(%6 zuG;!Ua+*fXC&Vf1_P{1<9@Aq;g?Zl5WM8SeVmT)B|0&5?-2*T zPdxy@Ia0#&Fm~SA?`sMS{DnJ$D*O8%LT)KZsorNU0Bo_`R|9d-rgg#phuGH)T`^YXqr zad2;%ZQ^CV-GUiFSKtO<+<#$ncCgSv#R?1c z?3TlqV_b-OSiNJ}M?%{SCa*(sMK3kMqR%p)1P6vuT21zd8Zu-0fR{T)v~Ao8yxz3M zz2BwgUVX}(8W-D+(rRz8i;d)hb!E7s`idUjv41f4=x2l46Z*e zqP4n<{_XlhR6Pr|0W|+b_usMupQL(Gyd&kZ0EEE+VMj=~uL{9|(#97qho55kl`5Az zCkiJLfO~tq9vXnrEjes_alb({Qmg1RxBunwQALHM`IjE(|kuK?>SFnGo(PYX!_n62`-afDhI0{hbh3W_zxSB zsGDHU)sw$am>$ZOjSVgE!71j01Z4pjntaW0`peCS3lSmi7D*km^Fk-1t+6?q^EQd=G=3^k1sqvX#-o zuEo<64S=2uAmUT~TVu!!I#r^dXwV}aQU+EJ`#Y%rtWsX{1Do$l+rs|yKF~(>tJ<$n zsphVpF!DV>5%mEgUqKR&@e<-)%J$$>73(#-T}nM`hLV$wlcrdkRefr+%;RVfl_8ac z(MNM&?3wIxv5L>F{ljx!ucfjE+J1ZsV!Kc{UotyF@%rWCB*R=`n@*8X`6b5|Mdr|t zBCR4xvt2&j`jL_wSoJo=Zw4z|r;lx(ss>b#GO<5itzguRD{Cu7v#*n*|MBSe=Wd!b zw{hNPsGlgITZYD{pZqW|X2a3cBOC#~Rk7qn^B4|>%zJs%sqb9=X?}gKODVckzq!zf zLg{Of(81GaP7QBTZTEf2cMf5Cq#g^r1LjUE>_wxX?(_4~xC`cuFIxs}DvlPn2yvUL zJl}c$yg)USa{!J7q&OdHoc?$$GCi5UWxMje#GFPJ{x0Ra)q{~;dtkC8@u%-6suhag z23Y`k00VrI;BO+UW&Gn)mG1tkHibAB+TYz}oAbnucmen=!AlOMmE1EuG?}urnfG~k z1FJ=F(ZfWUKZBHsEn(D6s^uT>eh=C-kCHf}tvo{2+SV`{xaNjh{!E?hB84?(NH}j; zsq9keSjrvJT5lZZEbLSHo4spW0&2EDiMt9JCL7&3<+koO2$@7#av!vC=-qj)c|-+! zYn;Q;%H;D`6zJETKj{S)AN^z3^o&_`n6D9{)@+*+`A56F;5^^tOsV-iCBWZz1&S8h z!Q4F+v_5-+D-bEV@+P71nzqXt^59?OQ$SzOZh%zgs6g4GMaL+daD}HGB*heZPTHM2 zk8S!5etA6%Re6@bIeaJCL`{~LvVF5Yn?^~_&Mj4>54t^$z>|N-6_anuJ<+TjZMsuR z^f`jj@3W4(Dm$aVutjRP8Nf5$dP)`M%n5;g+T{I1wia_rSCPxlI^sTW{YSdzC@suN z$~BSLA~UlxwM<^p$G`^zH~xrbOBvUmr&xJY?;(q>Gj^iytNW7s^wM=^yZ4dqXFzkH zEb&y6*QxwK^n1gGy{#$JyVI|Obxd6aCZ6P$_@38h0OcQ?R*U}`-F4hm$yNcVwEXbo zS)aF0g)^fmr(yOUk`!%TQ0fx5yQ%C?dtF2d$}IZ%sW;TAEbtvVf2IWU{|j#p2zqWv zS^8{{*eAGI$i8YbC6|?j|FljIq=8v=9i(<#x^FvRN~gf>1lp~pEW~#=Ou+o3As!t0h~C91-&lwM z3{{?uJ|wUr-o;1r>-K&77pBt^0eONyJX8;-bPBOL4U$f2m^%{- zK<1aY)BZ=CkEk!%XWsRk+@Ft zzGRTY0tQGwLmoFWOc?ISyOv;?d6sJ}Q6yu)eZxw^9v>0wh{iKA_(iu@V12k21h0ZD z-)Ia4%o`dOYM<`XMX2<}gzksoCwg>kdi9A!m{9gOJZD?GjnGQY1o**-p6^v*--RXy zY#2ZlKBOnFFL-eAk%@G`0-s9;kudMC3h<0hJ)stN@Gz)=t1exOpscO=gOz4X^m0w} z72W6i%U6GHLDNyZSQmz2eBA*E{Cwua$Be=dwKkmCH!0x?wdW>;_8aW4JG=d75rnD+a}h$21TL5Z)r- zhcp7zY`{nCh>Tq(f+TPnY#Oz&_6_@r?7iIlHFVgsT~5I&6%jdmuJ++LSR*cYHZ9mA z?J6m>x)(U1E1VA^WDSZZ?OK%HGhh&-$A0Pvd6MdfTi#2^As!&t6~V7CobyWY?=}L` z7=$Rhh`N&0ACKkf2zFrx$WUtckfU5>+u7FVYP0DEMfu%iOABU6HqatT$mgm)QSCBT z4IPbqj@Q>yGpKVJ3dtxV{966PCqfh;NPZ%W3#z^Ty;&+*2P#rAvW(G~S)k0$@c)t) zq*%8=>C@)F#&UZ=5`Hv8U^@#4Z9{FBqhINQNQn{PQ*nMvHg{Xj2mvxoMZ=5>@08eavrbtmJ zUnEgM0K6C`Oz0xHwo zX!Y!l`bCRWJ%gYZ56Hlbl5&bocoqpdiC;*f!Ake0Do7X-lL`&ZDW4+W_8VRI3O7Nl4h6e zTMdBL0IptjL*|Brt>C{&R++11C+}e7RF<^sicg!AP`>)FIO{U+O)Z4^F!sIo(`Oil#bex(G)nZXgncpy10IF42PbwX9 zN=(R1ibZyVvp7$&PW22SGz&grJs$2ojb0x_!AjX8^;~@vgo}8SFZ)pGx*R2!>QauE z9JY&iu0~~KCBIVs*?LUS6{^_*?%*_XiqT6A?cC1lhZiv6YrePqrQ`Vv=d6wdxKJ@~ zG^qFl**pGW%>EJmS#l3;rTp2bZnLj8qS26=DN-6ffEK@Rr1DMyq?g?y4loMN1vnlPzZ;X=AwEr*>ql9|xH&rAc zrs11&%o@P%ROY(*@a;Id+ghRJTn_y>V5z@Y1G>Lh&D!9Z=%ue%!`k9=9-r{_ww8-1 zQK;cZr+cQG_?fn!b49a2W;hL^}u`leoN`t1NYs>^G(S(2HgW!0BIe=ppk;u%1;5a*?`_l33jxV)snsrNrsH zXNq3P{DpGnNU-F9`{qLZN!hZJ%aTC-^mQd4B6%TSAh$*{9Zl2_(Nm5O&7C+!9;j)d0hKI+j4`H z@Yh#<5NTq_OVccYa9`nEq(s`SzLUmk-6(OLO6{nEP@|urUF*{+#SlaDSdID0g6Fnt zr;o{`Q@d(=W}8k$r~HM@y9CLt<2r-8?81;x9^lx6c4e3w9>TFITD_PTa7LpsM%nB) zE+Qx7!D%(A@YNUQ@jl7URa?~}MXqw1juQQtz%uuB(wmg8degkZ>u~y7V*@eCu4$kW zFVrzD3SSB#NzXwmuQ|Jw`!gb=jcp=v9W*aF$*Zl?9#J$t2sN^Pk*0mem#AUXx9ma0 z^`#@~jI-6RV(sXPWmXndn}1=|NVtKvVza`_0#*<);qX#KJ?=dENw|UjEzAI|ii?wg zahA9qM5uD%gs2xBdq0)3Q=(^=Csat(O_`P=0qmP7rpWnBIyN^0q=wegf?zabl2KN^ zEM#*)=NfT6kdKoC8)dM|3!Os#0QqazPMlZ8Y0Ik60^@HK{a!=4fqTQ&+^K%+s^QY! z%_dR_{knD4NTtyC9pLu9OrjLhRgq!fV{#D&D*g3FJTbs9;W(D<8n5!8`nwQkm%elY z%9>Vnv?;snYt<6+Y%{id0Sz$%RKUD z7$HlI+(#)My*)_VA_4>3#b_%QTk{s7%H&R9HFi;jFv#2U_gvzvvf^pf)5{9CRoqzw zXwlBQ0W5|-A<=`kHp~}CI#u(iKXg5MVr-ZkB3Rmm(MQveWyfcRdfi+~6p-ms=kCp> z5wa1R26w+{lO+j_`!c5yn+_6EVz$O4j-(@s#tr4yzI_rM0S#^?K3%)|puU4QUR*%? z@cZ#IHjCgl6^<%uFNbz*r%3tlSK1Azih~$7<tM~C(7EVaoP6A+l*OZ@Q1-lWb@;gpzbmKolJ7=x?>P}XcK5s(LB-2mo3-yarCw6 z+0F|FyDX5DU7Uax3xSnB01VB>$9my5#09VlW%gj;g&lZ4i%JY3wmh{uet z9vW)w@_%ig@}w`vty7+02V1NXS|v6z7jz5FGw1-qkqe90QO2hz&T%<*6wHauR*BC3 z!;Ax**J3Rp7f%a~QJ$%`7V#c5o4Y=l*>>^GT7Q`;AKra%t{4h0m#lM? z8z-1sEaJ6Fo>Qt1(@(ipQPf+_nCr&)@50qKtriHY+srDtRxxxNJ?)`Rn_kh>)YBd3 zecEYZjrkW1_43wXP(F>dUzq74C-Fh{zF$?h$IIJ&w4OQ%6l@aeK2T^H-DvkrQFgz~ zwP71hTHD{O-gJZx+&`?|bXt(R)39%~?n?J>W(B5zJEtXeEK--d)`!Y>F&VD&I`(dH z>m!Og=5gyo3-bTC($X}D+*+CE8{eOpY7TSt%Y0Eu!i@03)7{d+g1^T3f2}cbfxWQ` zMwqVplUca;Ve{=!gNSZv_))A-(w!f;O^1~4Ch@WOOiNfMK@v{7UaZyCdR1Q-vk9U&zLNYWCdCl~doyXMIUB|qQ z4P)wB_T{+;sO|f#B~Ahm(qdFoC#Zhvu_bz6CU}TVQk()6ojvv}jQ>u#79ce>oS_@% zKhjd2U$_toQ3EODt(B}$DCCtg{QUz1N0eMt$B@W0(aPf~OoZ5x-o_qLmLvj-Uxlx?t zwjL$(276BAA5se{q!68V$B{n>pz5B0P|xZSy&ON{I$-al$0P=$H7Jun3Iw(Dh)Et0-Fq6e%Q@tZsP*k(9f^y82C z@XO=qx3tLrVrY-Bl5u)5TZkD2h|h);n}ae{qEJmcd{j4-rFl@i|3z;FeTTIE#SlOZ zTZN#fMa0H|f%{~8M<`rn%BXiCq+UxbL%xa-J_RPXeDhC2gehbIGZ#~6o4}aziH{Pu z@dnUliew4fB<&^jXIlm`9S8X0#ZJfLPhJrTT$A4_`2!B1WjtSXjzQ7m7}^;)Q5F(s z05+=oT@~MVxGeY(gkN|~Gh~GRV8|?^%)IEhy8Eq4a*ulo=g>&-vm@FOx=Knn9Eq3( z(vVn3^vQBy^&^Vkb_{5^JP4N++JigF04=+x8=1O963>O~z18H8aI?`bW0#_b~$(xVr~oCc0YT@ zlh&HRrf8K&DaZ{DF9)-0WxyQFVh3I0oU)BGvSRhKlGv|#kJ~8r10!gd%o95E-w_k^ zz{PD6f)|B+oW+cET;&(2!nx;TQ&YO@V^jb12923^G3|(rFyY9VQ4l%#Vi{GRp6XFM z&A=t9Qw8`z!{=9+VrAKuCQirkemZybnsZ@x+UlDrq#89(o+`FPz)l!SW~!u5%P;R{ z&Thr`=%R>!VqZpKw`GE!Sl;6V(|g~!6D^^QXHh?yUw3o5v)NSg|jusm_>@Tm9Spp=a1BKdpKAh_hGW|Ws5k^ z8plt)6F_pV>zjJKI`J&o;Pc=Y6d@;YlJHu7B0lBo7g~8r=4*uZH2gr5*E3bW4*q?y znaHO&bx(k`i^W8ibdi1WGP^SMAa_2oc(>7&wfPgsj+W#tPkFeumMSexdDHTr9A|T) z_1mCy4LW8*@x0sG^S(P>Le@NlEGz`08#flGUO6Uue{5~w4107FyXX0~O!YFCVdcB) z@$nn6Unkh3IN9PX8dXjPd%;PJ34mcaNw1#F_qkJVR?|hhBk7r&<3JX*<>$KXD z7vfBum$taPoM?0E@a5<#Aq9MqjrB8Ju|k_1iI@C`yTn*VLMYoBNss2=!gxo7F*8?c z@cfSeJ4+qPl5$LI=eT*RR>5ZSD+`gwa*%9G)DJ2rmdcgRm9@iv*m6xC1~JKiCktI} z5vlB_`!V0+@-10btD>ZV0giWsN*6zT{%5D_4><$Nd7Gtn3g@3s^$3IosrEKiJ4JIF z&L3aoAtk26Ec@D_6Mfd>7_D3fK4_A5MKW$hUMm#tM|k6@#VO2yV`daTgWbuXW^6{^ z4>^8cimu4rEK_HHQfxeHVHs~upOogwc;(N=two*LwDLIVXwFpEKMyDq1~86^R?23* z9nGi!eL9tg>cZ`@(XS@m1i6f$!4b)PGgXA$k;2vE?eVXzsnnHJrBs=1nw) zYfBvPZTc|sxDsPSXK2jzQ`i1;zfbVr{9|V)jq3gafgS$>$?@G>>StaP$i~Ts{Mt{< zl)bC#VY9-GV8~R^5lklct9Wsees1-$mt{_6>cRtzG{)m)pxZ+`1BvKHZ>N`5(}YaP z1n~q>ACnG2CinJzC99~1>oGHqNC}+>DYz|=3T((o7MKA{6?DrGR55Ht>VEag%-}br z`5<*!l%HZYy)|Y{n<^+cohrP>=!Y?y43#2O$>?5`_`**6t@jLWZV;DDaP|!TjfBZZ z*z=KS9QOn{f%!%{gYgYz7DkWJgi41>zrHoM9u*epVn95@(f)rFLhL-~|wi%;dVF-g{Zg%$Fv zaU5mGb7Y)k1-oTs?}~qN1}fIf>g|5ymUo6vD?`ZcK?*nFyfvZNN2*N;dz_5RuLx6m zF{{4n=4hP4fOL0ymqQrwmxPX_b19rBul@sIHkV{C#TzE_dC7IWfAt%kU2jEYWb}jG zqVN+$2EF)Gn8tlm>vtiY;g@^)V-Ob`&1E*%?Z7X$h4y8qjXo}mz*x`vbBQsGItA*B z_tU{c)i7hfgjS4v?2Mi3ogI1DO?;b9+r5BiQv{@p>qrp$pAEF$V2v51yx5oip$N=|q@I-&No%_OI&~a0+ zFV`orey-t)HjAn9CCuTr`m=SOAVGdOGb)@3ule9vjWOcq8~KjIqRiNvxyG3xwz&-* zDO$pa_>@dQVE|8T-n} zCh64`w_UQSLL~h3n6c5-g;gpquUOyFHi%~A#^~w>$_~NDFROc0Ix6u&;OnA;Gl!~1 zU4bBA$vNwr8e%Pc;nqNZf<5mu8jc5~>mk&RVyb}4rIh@vX45PB(3 z6}dGi;cd%9gnirah(5mEt&P$hf}ch>heD^t;I;m_Ea9Y6oH{XgYJNk;Z~QPkEveiq zMJv5+nsI1Fj=A~j=Adbfkh&RcVwz$O31pbOjBRk?a)wWBbg?+=GNXUI)oExaCK+Gc zxIh_qT-neUap7T}meff(+L1lKaUC9txwM8W7?}0dJhc=`(myu8&G3H^9^F1Ff`puO zNo-apw2F6i$TvtP|9u1*%4QTzi?3+h_dZ?zFsX(7yPCiLurNw48Agjol}}$B)kgS z$BDu2j2hG`fDdBL_?PUMg2rZDt!9ngaI=}6cef0XJig?{DRmg+E$T3$7CIX|@zrSC z|8CPGNF;2Pb?Lsrbzc3@1~+!fr@mSDwsCn3@)`Dxa!pCz8va>(f0Z>>=otu!NnSrs z&f_afM0mFQ3z6|FU5|XHI?Y_z`tm}%(UO|b#Vw@OzFY04YF~P+u;i1e4;DoUf%#2p z4(GZ=Z?Cd)HJ0g8eUSV@;_9xMATLzx>9y`xdYZ}c?P91i#WZ;h_26{{Abtnm+R8Xt zMVrkwOHI!pwXLz0!Dg6&+Sjn-t`vSUfFsyDxXRCa_Pr8aL`L&h$S;Boj7!bp??qS6 z^pQ^V<(~6R(mKS4wQFpq=SVaI_igM+4cd7shTKRk68hg{b95C$2+S_G23# z{osaC8y88W?gacDZ=R_#m4^x@kEOre&g%PH0J8%YZvXGAR=rxS;LGHV&Ww8jkJ_5L zEbX)L@?6SaFAG#&p@ybK58YyJ%J%u*6O3 z$O!#yc0buZ&L+!iIGM?tcfLi{4$O_PhOKe=2`lwxUOB0szM;tO-ZL`zD0L}HhmK}0 zzh{q4vW>Eg)_m|t3Q`+s?s%SUka4PrVy@grUY}`@akFLCR-dfzXiLiTsi8Qf^7NUy zaJ+2(GFrV%b>V1dPZ*3Yy}GvldiJic@bzh^hUVqB&Vg3cJ<}(Z`^@C~UpXKq@%D_4 zpyJAl;aRK;t8YQ8)2A?aXHKkIa0-O6iFtY0j}wL4O*K8~XWJ1&YtqkE zR3bfos(QOv`kP+}0CyU2Q$0P8h_2N~6&2X$#{xaAWY2=Rq=k!y`K z!bsl>LZsvOQcokdd9S)LH$ZB0(gwe8dDwtQkrKQQ`=Y{4IXGkWJ0XcEyHGB%kkl4e zD#b5_1CpU(Fl3?k7H_w(mrT|&O8xy;tyxjy-HYe!)ti-X5>x@M!r2?`MtQTl7h+WS zZ{o~D)+9wk_;ey7zP#xYY>gB+qqghDQGj9uyBY*4O%OH|3CNiU6Pc6FnBj}}lNR@) zNE%~y)sn=WWds8>cwq2Td5Q(4<)A^OWtPORgT?JdJ%GrRs?j5y@WP@V1qx9Be*>eL zc-p2P(DU<+E}siGyhVOEGnPrZZ3FhMTx6SEh?Sd&S|&X8Yr$LZYy$Z`UlpB_?U*tE zH~C`u;C!U}&6A86bl>>RNF}u3jzYSUd;-F`(BXgY8i_)<0F^58*E5=Hx+J1EITJWI z|Lt#G*`$!J*WN)lNc^SEyx(r+zxm^c59Hk2`v^%T9SJMsiHAGQT7k%YRPrs7SEl4R z>QoiQp_3C)2NnC-tB=6k7O{ZVd^hc&60bL|zJQ(g~E+fvzT` z4vk^x<)hr2uwSonX?#JJ6hGJ`6OAs&h?cea)_)T3Px9Xp0U)sr*fcEbR-xZQk;IFh zK-JzrUJ7b);)KIcWBcSwKiDC>sM>@A{?Z37GIK8cEZ}Zjg%ROMri^jNBV~Qr^8vHl zqO6;&)6WghNpYORNv-ZOj$>F9?ky!ZM195VQ>O0LV?RLOXT4Jn(; zGPA7hBHsBPrJVl=fsy)dl7TU=yzya-qv}yl!wm7PDVJO!#gB3(4msmPG&dRWufxdK z1~y{r52iU+Fw#R*w~%I&maCwXSC$>v!i6Hx{0hqsA-#30!@zU3=hP?7QW>&#27l{>N0f2o_2WSNT#^OAIy0Bd)vF! z(i@|GU0;hfY?x?Q*5x_ha$#4O^ct8Y9OffH>S9^){+2j55od1w4zjFfZPsN>mA5=& z9a?LWO7B=?3-Hi=PHD5vfN~G_9;QiKa%Q(2vU`ZT{9V9xWp~om9Q|c&hjY7$rMISX z*-)0MKa;kpNg-=~{%_d1p3Jxq@6X^rF_I|aGxU$3MeZL@r$}VggcaSuQlb-o)GYsZp~Yss}@AJz|IS+Nhjsh)K2sze>IU~wK7@3Mcr?ItL<&S_D_bg!q9 zIzgJIZvV>iU)~+c8QtW7xtKxv*64#idyDXiwQjifI>u42sv<|N!y2L;x}~;P8=>mD zm|d5t7Hw*FuC=wVervQ)0gpeqza;rkrNpkWEa{G3xaPoNo)b;8ey-b$szOZejSKs# z$kdY1$;C2WLs3M|iRCTc75ms<$I$E&Iz&G9p@t0vQA@99#g}26&jG_dracMET3ZF~ z^+T@smt8PVOb6Y**>$aYk=fKM5fEk(7ly-{m|YD|ThR71jVKf}7un`sL0!usNPd8r zbCJHLS6457`%ieCVq?%pt`x&{Mo{O?IPTu_w%SqFP>`1^K{v?`fh#U}eTJq5<9F_^+g@0>O*H=uQ(Kv;Yi>NI zThyrIRo@59_wLr$pM9e$oyh*|MOxX!xHD9!`lh#19N=A{23SfacjnCJl&i{_^34DW zi;Xw_eR*aEm8F{EUBrzU6&XYaP?yG}T$`9{cN|iOo3~eyqb^qw&C-6=930-c)bTFX z_w>!C&c2s++SYr%+71*^9ytX(MuumxImgYMrL5s*kV26mn8%x(%>%?$BnNZlq{V09 z4j+b=oRivs*NV6v5bI4ckq!}=CDLcPy+;Va0m8ALTaa*P-sZx6`S?il2QegmX|a zz9KKUS>_CBC1vH)bGzj&e)b1U-M9v}ueGd0h}Ew!s!Q~8E9*rcawqm0dVV}H6`HxLbP3??Gq+{_ z5hqQ09Bouk#(}-mRLQft`!DZlVUbRne9e5Q%>9Fi^8&e_+49b{&j%3`q|f2pPn2Jh zmM`q^nP;D*yk_*J%!jTBohIzpZUUWilprF#@~b#~x_wWJLC)<9&J_)a$03fRFX6sJ zo|Q5UD3?_E%3RauaF4ENHTaWwDcJR{114;um9&Vs@cQ7DeGp`NG$8Ngg6-k&Q$pn8 z$se|x1^9EWgix=&=XL;^djX!}4C3FHSBI~T5jv23akR$TR}ubp@V5)UYdx!-S~fH` z%%@zdt;{*$scbuGc&2YnTEA{T392Zd5{yGG;25VO2{g?JWzd~yd0tUdwIQ}SQ5}Xt zUb}_C?nzMnCF}+Ko`*$&@P;Rt=zeBdJf*x`L1dQ+`>=W)QzU>5w7~2 z4&!EKDA!lU?<(PH4o6-7htNV_kCP7i)#V4jfKrjaPOmbNDny=*9m?1uA+J`c+eJqE zb3EUu>U)$5Bt;u|JWe!KKFHi2N$3$A;{+uA_pT4e27&G>PsS@Py0uDSvzx1rYm^^SSwRmciu!#~HH2u+39 z-}ldZEgR2*H_w7A-qKlXX2SU{tv=RT#-*%vXjVF^T0Jdd`2uoRVJoCCkAP(+Ai9*> z$yL@3sZ(+_-0%aXdakL;;*x>dxXOAp4-&?l2lZ;EM!)(|1o&;kVLO%gv^$!Ub;K-!`dhh zmOnT|Xj?ZogtVLmyNxV?Z^G63n@e=le55mCg=TnIf4Rl2;GWdyW=3fY!%Qhg+)pqM zh~1)A@P=HLvS981}35WBvDr9J)7`;z;`jk<4;qT3tP zHfi3!F_08VFL--FOK-myoLy?!8J8^LUe+P%>3mskBC9aq_go(JGP4`TlKzHEL3^g1 z-{va86{J7_V_D!{uivIfG#)g=M~?n-%RbRT=gtugPZueR_$Pr;T{qB12j_4;A^CBt zpXj56>7g#~+Q2c{(wF7gFlV17Bh380XIT+0X)GF7gLl(c;J+d9-X^?0Xi>;}vys^E zwCZZ+sB>AVy`g=wWdrrFY#sy`bD~-4ikOSlbNx46Ky{I2&D&=h?zXTow+BC4)u>-H zDf7W;Y7IXW_A^#r-GBIKi*@5Cn^VHkLYh-H_0Rf3+HdDXz?-`1ExQwsu*q9w{eA|f z#^X(&vhQxX5pQnFWu6FCB?$Gce^y>IG~ax@O1W3eA%GWA&M3aWRPu4{(VS6Q2VNdW zI4r0wm4Wp59gZ*mz=yyvW|Z1v@HCc)nrVBNL%j7kZ4vz($eEX$f8ICX9KTytZ$>%p z9h>>2$%Vf?qpx3GspsKV^;9(aEmUK;@3ozh#|`Zn3x?PD6 zr+UDj0au4y{IZ6>ReU@Px(f;d8@hJ&?a`+p*>MzgGOPv>RE-!odJ%rsIjQkxDO)lP ziSEGn+^+!cWEFxx3|PoY-V8!9*U ze+F;-I;l%1YVrHjwn(JYP~MN6{jaj9|3I(bHst3nvVO<@@ipsV(~gZbK z`pb)t*i+Y&4J51f&spW|y`dejOBE=DqisL*LAk9&WvX5y9f&W-xzTTUgO{gQo4?{& znTB0uz@49!e*m$D#VZHlb&f3jgIe<$^Y6BBN)P#kla8r>@>#A89d&J&5d8L*pOyEP zjU!jD>j9o}-GXj2?5_NK&i08522atdt!w3lNAsvIyjF%ZLAz zvC5O5Q5ZHlGXLv_+WN+MkVTv^{XS};XHvuh{Yfj;_{Uu*sg@LuYr$-frY?z`Bg1O* z>6q@%k8AeWw!%Lta}5jMN)_1tFr^(3Ohfs1ns=Y`RIx8M9%}L+qi!#`yZffKWv;OR zibYl&aA5)j9rzkt=J|_ArkW zONIhY4K8%nY77R{8a7r;H{2K?mshbDPJh|^3KOOf+x_N93JtQx2w%4r?a9kw`;Gmr zP)PV467?p&Z}hfKT(V#ctE2nQDvI00Yp2Nm#f(s(t)M&rquMf;KzGDVcSM?X!iR9A z5k_;#6j7Ot1JI+$+>9W=Uen$sDJo~L{j58V8sBleau7ii z;4ES8qkN3aJ0*EZ?C68lkZpeAmG&t%qpwK}`2-wBGIt6sNh+%jd81V;^aT|yMn>ATmd>WELEH?;{d$8$j%OI>0qFxHF?fo^qj04pR2xM0Ek6l{H@1RHD> zg_uD!X;n8$(+=!4{tcg%wgeZk>$Kp+{cKO6meqid} z8lmMIs0b9Ebf9g52-c7gjHS1M6@W2ypyv%3W|y^+8DJ`gz4jKmPC%B?GD(ilMR_<( zIUgY{7_9I4iW)A*OIBFj#2U31wZ2nd)-^j9CA~9~-7TF`#L~b(X8$$}DMvSHTlbtrHMp>1s&KQaFqj;v)mh`x~0AX5O9@yWks^i5iv?FF){&RagAyr+L@%7~4hH zEt6W?Zbk51%d(nEVDIiFzFYRp68wf3M|3W1m2^l|@BBleFrCe+ly;i9rK$ zcsMp&HRs1#7F%#qO5?8wyca}sQ(R$sWXAVY(Krc+q&AF8EgdLbzzf}Bzwn^Tc5 zt1;K*%pKc8J2yTw8aIV@y_d|((O*X#G$*HrC;gZ^)aN4+6HWJt4D9`Dnb?;@C3Kq6 zh8+7R?e{o3RR75Ya3bRh&0#U z#f-0d&R7jj#1Pj)B;ovs{lBk@O$oS9NlUzJzVe$l06LL+L$r!@1VA~)P8zCZ;dwBs z53K~!_R1lUZ_lEjr?a!k5o=hC&CaLlhx+$Ly9`)0$8t?T2K85YMH3uIl~|9l#XJOw5%1gkDS?57=BHVYHLxUdeZV5$NZ zbW?Kz2{yuuD2QA=#y4A@zMGXk=eYhs683St_# z5f_+;3Tg-N!YI zGwIii-xBOvw9;ECNl4DOa4C*lj%&TZnRP{3Z1R>HAZOho`&3Ej2>f0OKRn%Fe3K8t z8!iVVYczz5ZrGnQ$j>X^E?1|k0lCoYhPQ3(RH1wX0ON^NCl0nVnzD{7+QhIP`9b-S zFhtrd?=OGq;%1{f&KhRBG|lLywJ7Fv4jEoa!%w{o$V~b;N%?s1(yxizx5?EAUZ&0F zs%unKlJ#Z!jVsj(E<;9gNT&3E$&{-yQ%iM}@-xv`G7 z=0#cb4V%X>Wt{6T&wjJj{!Oms^^(70%R7#m+c_UuAA6V7AH-M8AiFd!0w=wF16U~!Od`4vLt-}mtlL$H_oflAK*jGShh(n)CGI9uy0d~N z!*l=cWRYZB_~Zro+;jW7N9*Cw#o2bBWBu7FC5N~r(k4)~LZ|jl_#2_6c(&ng2nDZz zG$hn+T_K`ntubVqaX>7A-JoCFA+XN4xr0*P=`~Wx{&m`r55j!E7=<^7h}X}&c4E(? zndyCkJ)sVmDJ+-JAT9hp5tb-5;nL1kMN`v|Qj8Z2|C2 zQ`^^bU&!hf-#Ez=xZ|j8A!-PFq{eQ6-S)FmU4v~yv2GC;l_uA8$#Ig({Ec_Yep2hn zF;T&yVeZ&><#RiZv294=LNUOdxbdNMjrDc!SBfc?;Qx01F$L~vJK}2x{pC4Y5iDmD z`%^HMHlqGEt6o7!+Ye*1V&x@NzhB-Uewl7sRN`}^p9?k6(ZqZV1CDFxB{Lx+2C{c48o9CNg68#%G5w3$7- z1!wH{I$+7Z=M|GweZRpcW~e#KenF2BVJIW zyi%4grkRY38sK?q4C5B%rcCr#5b>sk6;MuMJ-~lKzNw=ao)USR>O{6PrMM5{Ot^1_ z@0BEp3)ZijS}to$Mshu3+Ow4k8>@{xq+!Ih!v@+LTyn>=*Ta?I4VVNiNW|s z?4{=3ivs{Pg8HkP>+NC^5)3ZVli;xZKUbin&FuOXYhcqch zZT+MmLr1uOi$e4c#pevgcVC^EcF7H6T8get#>Z8LNW9<9cireL$GXU;w;^Y$F`Ue` zj1c)9Qf-2{o(KAO=8)tF|EV+SH_xGZHi7h*J!+V+{)}iZ9jJXH5Y;WPR~{dBb!3(^ z;bk;Oc20=-BN*x6gr@B{tLc%MobG=SC5Nd8pm^wjf*CHO=l)HemrfL?(`%--OZ{=A zrC#Yr6jfXWRS_DhHZBT)d7%^APcYo$YuBYc2lYLYMHpSDtyufj&`y_nqByya%G>kR z2CCvouA32PC>S;+eh=;JuWO;)NC-t3=qA?L`MsLR{|*Pmi89{rO6&usksL@j@N-f8`SaR%o#VC{9AqyiPbUFWbB&`r$;Uuu47P!65)wWw_l4Gx3W! zMJJ=<*IA{bFC?GjqDrnpMR8=&>F`M1kgW2*K$m4LHYeyaMW`=A?OOUtRvNXiXRHgr zkb3~vF~)fnqWo}N3j$N&GwlH#GUWv6nJ0$fnK+{v;4K$&29OoiB3d`+`)Ypir(zsy z=>GCT2HlrWL9Lv7QQ`{HMD3lp*^;DGu#iO^5d(p%-!{?E^?NKkuJF)9d&58qJ6T+K z#Np`mt~m0-W&MmShHLGHnmo8M7`6D5t9wU%q9k z@bD>*fEj2+hqkJ|u+LlM=;1R&U^5GUQKTbl>YaIfB!8gUJ#Tr1& z>&JL>Ok=RTS8V2EoQH0VvG{aU*51f5rYXI7X0N8`7+$+6IUxTGVE(A|9r_~$P&%+K z?<*R^E!glgd!>xF@!L0FMGUB_eur*q0CG>iJtYY_P#jZ6*Tj^UY%m2!a?@iTjK zwm9-WyGysOKy22LM{Iw@*ed}9HYFOG>*^R7yn0E}%a+DiaH4D@>3kc0&dj4T9PyYl zHvf12(^D%~wtQwMrjZ3r)@?4?^kchF=HdRw0J!CUZ%UDN`d;KN$nRe%yd(8L*XQm; z5^Li(?4J-=bRIEddfiv|NOz3hQQlFgTfc<`*LyjjbjLi~Xe@^jNT3KOAOjGF0(im3> zC}uZv=&*H&Oxyy|>(A5CcyjuD54QUSM#Lby!gutaL;H34bRnc&^tl_PGu2Ua7SoE~ zznzkgZoGb0u!dN&X=V=5u9)ye3^HHt$}phcVT}OPxP7pMkr_MnDZ7NGnn3C=dAg6b zg8-w|0b>3to;#BX@X+`U#9PeiU+sf&AeL{k=Kl&DZU68#t>oJV>rI6ii4N1rnx>Cf ztE6hXrpAz&v-if;eDFfC#})B?>YHKi zb`xTs+eB#!8Ya4<9I}*id2dINq6{LBF_rV9*aZSdQcI^X*8-6nuGk+LLwKK0iBJ?8 z1h{P^eISL@A)D=)e?P8R5I>Y!Sra(XhGY!8?o>tgroQ;hw)V=G6=k0!1+2CUMrjC- z=d|mZ?hbEg|LUXE$P1@X)%5<1_CP;RU3tnPGAD1}vL*=Kb^TZiqq?K?a1w|I0m7C} zsrpkakvn2r_YeHj??=!cib>gRdwUIr+(d^xKUYQL+=;vlptV>4>Qx)+x&o$v9c(HK z&m|gj7Z{aSlx&%$5@e1}x<&HzmviU!_LH2O*EuHYuJAzD$)ZrGR;glR>9uRHi<#hP3~V}7($ zSsGfDvST1G0k?Q{!Ff@GsVqc!IGMcu{lbQzm>&DG2eLC zzT9&`n_53}wq_j=d}>YCb9&z}9+xX?+OT9u;65}VFm+xS?V--%HAE00pswQNiQ&e9 zEmFb?i-tinjSS9+^neE{J!6U$>6aapUujycQ7W8hCxt2u>+E%<#T)FGMoWC;XW9ou zRJ9oX>)g7=eNSZ@R$lE{)TNABmFu7Hx!ze_TT?JHL`>aM;&A6^|76u?s%m!LyCHS1 zLnEHZ1hv9GlMM_FHKmd7Npiw>Nz=};TWs0zRr3k$8^dtH(7UEsN{b#lJ7tk(O~w|; zCTL}o30qxBJas%&L(kD`xV|Fgg70NLDZ`j9Ls^LF?>9!?B0hW4Zq$-m(9V?VRxkKV zXRoUTo2JgF{$p~As89^0!8_`Eo=jcQA-oj}_PnYn=WBIEY=cok(e9!$OT-5=mB)BC zn=ZcCT}>74&Ev-8hm1}OtD5Xoi_AkZC-_Sbek&M*C(8l(u)paEk(fKWTC{gX@W&vg ziaAP{)h{uDskq$MZWP}k@#v8eUD@?TnSMdzK?8 zw<%gW*B=q2-*AQhX<1o@3OvljMmIgE%4M__s{%t5fP=Sd74DxpyiK_@=tyK4KL3~$ zP{VY0Gh$XNn5X#T;G+OM_Col(#@^>Col(_CaC@d$9{GNE>E8nVkur+=>DNY#-*EV||#nkz;p3(!9cqI7w^@-ZKhT7i@rpQ4d>#UBtC~ z%8Vn$G6FiCheArlv(cM@8>8F%?I?jzv0oUPyssb;&Lzxr`7={A9p8J}>N+u<+*=E_ zl)$Q({;|f=1hS{9=%EKorvN|CXRs=2f8@4gUahYEvL_doGM;e_G8Z1tT){LKEXwS8 z{IcHm^!3l_ig;KFCO7*C!Dx|C{jP&=lT z#gVMit-y4WzjRUec+_Y-sShZ9;v4q@QFwdGW%2$n3nu0J!DZutq^5osJnhMH$ex@c zmBg5+Q5pIDgvN@g1d0%i)s-8lGP$fh{pzawW-IT#Ami_>sT$_XV%C^$k8S!6k%=ro z@5$_|>0iQpS!DQ+1$#cXwQb0TnCH0?bA4iCJh6|fLeN*hi0ndQUsiEVy9k-@=NJ-$ zDd$qJi5xey$qp)FhERD9k}svZQQg2X82z-=7hQK+&!LKOa^Ntp$bM(+3Qqqvq*PWS zDs~i%u_xsa4r17OdCYif%A~nTE|W;UXiA|1?IsIcqEbmP9wujxCCv+gcE`T^4BvRQ z4y@{QBez#*B_76eCC-ETlQC6mS~NdNo zP4anZ$>H-U!FX}d*aLO){$_?ZI5%KK;8Ci*4D#_J<8XHTz14$ZQ-O&1NNsCp_fo>u zkc;$>rF3%PZBw#7@%a>Y(9KJC8|Wq3D0Az@2>TP(-OJ(^LdpxGaH{0H%35e^#z~G@ z1!wGhuIsSjqmI~?r$8SUU|{nA=Q0W9T6mtf@$P?1H4A6T6blUEgFU#j=k+Y9jA0no z#U7elt@cwGMKwJ+8SND*`ZHzvZGcE~EY7zw2J_V4NoUQXi}4O_a##E!LVxXSOEk6~zjJ-W$?t^TPmcSzQNvewgc zczs^9cSg8im63F*v8r&FYGfI@)Nj(ql}O5FDkhIE{hSN41o=Fi0m}GK0~IC{_~0LtfHtSdNpdv7UBq#sLCF(iawaQK3!d->4%BR9;Wf2;maZZhkqrSc^GXUp6<1F;$A!|h56Io}v>n&?9Z6fw#=ndaZ!R2`EC{%3>l%`<@_w*u5 z(byIdSz{*QJE06W-$ellpn!CnGoj(#X*o zivRatP4K_QB!6!o9jWJgCBOVbe`0O&qZf$ZnmOakwE82?G?@teAggz+?zhOFzQ0=% z;n?~c9G%s7AM7|)s=>6x4fWT)=fSyP8>`zCf0Rf+0-h6ev z-nJH@bSEVH{oZ%sXKWag-Iz=saL%c2iW4(|Oe>x&DYBA?77ttRj1wgrX?@{|O#M9- z9Pb|yP1KoG@O2lR465dT8Y?EU-UA^GI>}Vh{eF5+W(chP}e_MXSsSyM)r3}`D1VouGwYE_tEM+Y z7HAcGhR4Spjuc9DD21{d-hbvhv7dkW~- z^?E*e^B_Wzni$z!8vl6@n$AVBSp~$J(DYCFD!Osk9N*9o3@UU!CQ6{0dZk@YqPmvXgZ z!{sqVp}7NnHpAV{Ww6f#g#^}4SpMt2SiB$Tc;$&*WdmAcqdf61s!6EL2xm-~fX>QC zwdk+6SeA`(MeX=N!>fqC1hW5Cusw%q{|;tf>?DNia?W0KmL9zk7=OK=CCX_uGb(>jz>B8e(Y>Q2Kk@ za!RPOMgb{&{p^G-PjBWZK_#WhE3H)5j{yLL=3*Q}GJOw31?QlCg5jEtSgUWGp{R{-_2({o7C$xrB zl)tzc;MpQ!jd9dWl0ZqFP~WmHD}zp$@8Q%0`TSl;5Kv$R;n!ACkps*qNBn8OTL(Fo zg#tQf5MEJ2eCk}V*e$w5Q90)-4rXTzNp!U*zOmVVtnLR#^oozz{fIUZ2AD850u%D? zN6+U|T4ZzdG*d+Eb$X5s?BL8rz6nxYPwbFW{xmZN==!&g(W}T;V|MA8D>R)v{g&=S z+2S$WStEX+R~L3v#3tz@77{x)ufM!Q6q~^DQpxExUPm2WJWADFM7JI2$>RU2J)bQW zi_ia6$qC_%R&)7KC_MNHuwyGBRwu2Fs55kmX~wE|nGH z{tb2=WLMHghRTk_LnojXq%v?ES=-z*}mhw4#(KUMNn6v6! z(aAw%s1`Aj#%ckwPi*| zq;mr4MO&&`!77#}r$byWbNHb%`*Dm&f2=-V;D=eo)lb)b%6~sNv+@~`*D#jka1O@= z%0#sF0;uX&QlJ#^y39Q)0b|GbVf-_3O(fxQGg0v<2RYoc!cO8uUT&M8DXRQiW6|GC z`Qg0l{n-%XYH5A=cS2?CxaM_>TBt+LLYDLIx+0Vo6XS#x+7+>V>arUJKZ{LS%-$By z)n*OvYT;#VCYh7)DQ27rs#vsXkuE>-Rx3Y2>Y*}>2R-7^YN`~&7tCk#Cnk}A)~o!Z zhniibn~@$fgKD@BsvGRj4R3g$mx1N5q=3T=NUcqqZNqo3}Ms%u9+*bw0MZWRw<`3rq=!63oe{akv zRA&qty5Cm%j@85}wX5p2!v^eQ!JE1j+$D9J{WF@Y1$cGnu|x@b}p3}sd03n!ZIKIl)mHa zcb{+zy>m8Qj!^3PxY(Je?l#TgDsTXP`OS|b{2KXU-M$u6yI43LwN9U9dP3~b%Gzk{ z5mwSRR+@1WvH762{g4A-OydN1H483dp|cGoZCcsbd!-q6=2#A%**@;1ZrWW+s|1fe zgGk~B(S#o?;YztEx@nd(O1YLZEj&+7g`*G0w-elO=`UNU7 zt1~JfDB7SA9lvXobjMz+U&Eehv{_X9K+=9SahIdwpLaD)u6W)yJNQ~a=#40n-)@wD?&)*w=&>;P>#evofhed3B!PvUhHE>Bf&m84iA7!ZuJK?eA zq`(dnd;BJ25&^ES;Jro&#`-tkfv{Ljr{+NGAu-UJ-l8CE8mejC>cQk28=}${wE%32H&EB`%P`llC1L&U%RV%^!>AeDNt{V6=R*aFRzFqFCDfZG z-gewvXhO@5kSh$s$nOj-y6s*HPQD+bJVUrkcU6(N-03&gQ&g_BT8ZW6b>H(OUQR$< zu5DqQaAQ5m?%Y4{P&2KbtG`3OB%jV3J44>rCO{GWyb4Jqmt8SeZ1ANj@`ygd*{^1Y~s zzB16psW7Y1uTV+A zZnr;8=}fE;FtAH79el+TU1rjT-)H{03Qlnt?6#ZWCk+pckiN``a*g&aaTJpAi2XIg zIwB<|(Eaf+(Xn}5v94hy;b9FgshrcIV=t8L5VHw)OFUuav>l_E$s)kfBh)qcGH@#( z>=@$@+lw>)!00=%cMV-riOnKxea{MGIgYFv4q@oG&6idQHxz~^`=PW3PWw-%C@k_` z*KurHCLA*|`#xA+)<)286Zh?{?BN@PWk6!O-$RhP{G_v}jM~bKCav(5eifbE304zm z!~Ck=(W5s~r;UBfu&-KYS$1@j*q|RPWm9z^4%cRx=7fV0_%h3EY0@R&fw;4{FYhf>n_LWGcR=OMn4QwIL}-EV?Cf; zjjeoJB)tBqtjFreaqnRU+rsOOQNIPj8V(y1Y;m2o5;V}|n%ya6(8c%fT@kxlc*#~3 z>6Xi28^Zm3QS0VXXrQJM_|0awzKWp-Up`q7YRP^b?$gVb%eH(E z@Kq>%q+C5zv8Km%jU=h`^yQE@uejO@E~=>H)!AOM!FDj&$57+7cleu*C|6#6Sw)22 zG)x*2F)Up-Bx{o%o+l=J;?DcliUJdf)=dD)ze7E4_YbIQg0y_hjv@+NQBCDjTBB~OJHD|g0D5e2B=;$|C^4#eu|n$Y7!>2v zsi<83+d)wgoP1t)gM^`InYfc%I;83^_dwu9*!pF`A<66m6;o9|4Vx z@^mu;1QRq%c=J^DWI=iJd{aAfi1QUG@#^Sl-X~8+73N88eg+bUahG+b3r7F0@+6g$ z?s?zVh#Bh?wUPGWuX}DIK~-CI1UI!m${q6H%5b^+sPm_ zCf>9WhIoY=#EjYPNl!=J<`lK2B3EQ zZp4P!kpM>|ugdmf5F)!;GJ@`Oq72HU#jn?`4Z6jaB9b`+hz-_}jQ_#1_Tp(W0)aZ{ z_5hHDC1os6$^#z&sJwZ6f@EoC_BwJ_uywc&=Wlf(gDL|uh0YXxck^D1(Q zwRardJP8faeKx_`6XZZqNA&0e?nfs=Y{_ukH{{(DR3UF;NEKk{Wq^vY%i)%os`Cq9 z?9N`i2N%JKDFq`fxsM~NydyP^I-*CG>Fv5K;7@CfMj(m10TJmA^a2?gwu*c_fl~*a zU@STU&U|v@O-kQjUb`-dD*P68=wf3?{@Zqxx^5dV49wQ)Tug_N8lw#{*vFoEs*<@o;5BqV7z4`C~k++Y0FWfXEP>Z75wslnVBv4%^wD%Sr ziMg+`F`C>nwgfwT0!5u9P^Z`&Fgl__*E#>WY_-wgv#Lk72?n+}Iu?qXN(p+KzG9@M zWUa#L6^v(DlHsw2*~E;J#KtFt=zGR?j1Tm3>Cqxkn{fJf0w)w+TE8ltwqJr9KzLrv zoe-cYWYDMlNWKmU$Bpv@_afVMTWxL9R&*XgNP_l)Wff$}YO1MFoQOP5F|BZ5r6Ki^ z{Qy0mkl&0Iy9jv<&@q=qc7G_|JGy%f)Dl`8DQ-^Do6dw6ikKM9Xow0(8k|tz79lug zK$mwV2_$w#L{u=YU-KR8$F6HKNjgbXTm9z23B!nSFq(LLfIhRJ#_TQLX`-UDlx5Es zyIx3kH)Z3*m`FbU3fGGVM^7dLvDF5h)*8igkDFG(g54NWD$)w-jMuoDb$5h9mziC+ z^p)G?*-T^)iEk|XEg7(tCA>vScS3x=JbL@@DtV>S`w5la96?;3sv=+G=2qV`v}3K< z2iPZke|Td4?-nJ8zGKGVTt$?1N_egwXqMgoDPS-hrD}XC1d*P6rTYVrW3hOLL9QN( zUmE0-zZFP$H9_D9!qaqHm593tn!GqHq|w`7Sw%?Pi&FQb#s}eK&V{niMV*|H5P9Dz z*~CEhphkONQw<^|vE6}nyO#E;W-aIwcW1OPzYkFz%mmzpURJ00A`xipNC@Ohk;RsX zuO?7&_XycYxkzhIb*r{IzYr7<%z~n*a)ZNkqNfM^DrR4x@{UFFK3&n?o=jTzZ3h=Z zI`M$Ob;vU~eQ!EvoO&uToU;aLqVg`Q?k$-lvB*XK?EWV(Bh4CJxOE?=6VNx15fU8u1= zI^b?z`N8;j5cSWwAhRQwzx-g5CNznTh*us{;|yssAtr7vnwCOVNM#d`s=K(B9(U^O zy$0Yl+Bfh*R^^7F7@qNSyOuo0ZZ@tJ`a8DLgsxj^4`v9ABentSQF}0JUMCPsFqE}1 z{sT8X$<^BkoGQ$DVFz@z!iy4-yZ<;>O{1A?Iefr*()ZHwOc!ZuD67yUi60lqd*E+~ zqW8Vl{;<yX-CAs8Q=Vv7I6#XPOnN_hDqoturB*kZC!_;)eGJAZogn@9 zntcKxF{7;38VRuZdd)>Y2?q5$(z!62aHr9sc+CZAmUbc;^l08@(P!yxC}Z*tQeALt zfRj`gPg$v8c@(yRvm@7{2M%fA`&WZjgN02x!6VEcNJqahBx@0gfs}|c)wHeE&FlKU zdXgi8CaY|eLHP0qj!Q%~6x$l96_6Ah*l+A8K5F5xKyxa2s6!NM?FSMAtd((_hQP_ zptZKKwbr7jT0<2@1=UJpNyHk8SZ)wk7&o!ZIWzb6+;h*&{BdXUoRfEX-tBvT=Q-zn z&hzEGpRR_nzIupHB5wRa-0C{8^TYP=Oz7rX(9{=oqG36gUhZOdu{1fmKg{Ng^^7;|&*8{eAN+h?AY#r_ zE|VB6%gEN*B0iAzT(IaTvj}#FFUsZfO}U%j&xsbpSM^%FkuCXwVHuj{PaQByFXpQG zuFl)^bhLk41T@b=zLYb7ykU-iqd!v|iJ5!9$cs?d7y#Gazk9(WwpT#c?^+`}fI$ z)N2zHo^w|!I^QXcL>WT$OiBHx?OJYJUe>d}t#>g=USz1V1^S|;{9&bWrhlL2&C2U= zUFL}kY*iI{eH!>YPK~Qw!anZ|VP8a!P0Nt_WTx(lhWNbh(;)g$?0HLPvhExU_dKt_ z0dDA2^$`^xXvcpzeDVXIwjFr=_`@%0kzlK7C>{yVX)}i{X{Ehe@1g0P-WA~_(*@&F9iBs@V-!rR;|C|*X zPFrXQc!7vHvStK|=8&qxTja9WtniORhK3r_h*kX;tFSKQiAUCu>;jMF$4G1krYRLe ze(Z11^DW6kXeMY{V1yqhTbW#9`y#^yX6+=c5tb)FaVvv)Icp5Hqmkw~8+30ltJ_ar z4(6n5%ArFwXhbQ@MXAO~q8s0IwADkai3BI7>)=4!5!3m_>vND?HDC40mkX?VtxN+zOe6PpygFbGK|BDlX?HG|!$P zJs6HdtG^%!ph@L?h~+2kq_sT4^$}})-WDZ3V^z+VW!5VAC=$(J6+9GFk6dv@Zu`e ze{`x%>-lq`Yk7<}v9__~q~K*Cqt&wf*tOS7VFgHVzCS^>0WnM(a5i^diAg|R3YVgs zSLU7{H)v+lG^+~k1yXO5u!dEyLDGE(9uf*Sxo)jLR&$jgI5Ht51|(EIi^W%VF66Atv(lh{c5UTt8og@9E_-o;rSfFkHJuK@QD)y{AX( zkVQ5>T-!;n_{3Rn(^IcBDJJRZ5HTi)nD?k>1b?Nf)R?Xt*U%_O8O14XUvo@cy_~Mf zp!3F;`dgq<(B)2<@-O2LzNsDt|0-(I+yu zUnWBETp(H9346)e459B&TM^ECqilp*`QUZH;4$rgq^prIiFvQ5yBS+eJ?CpWrM;f>TXMQN_qB_3Hyqb#WHG zs+KX(Xp=04!T=CFg?bOs4e*7^3egrwU6IeFktNDpO77yB>a{`wi}74pI)Wo92rSt3 zkH;qrc$KVJOJypPeRO%^Uw6Kc$4J0=eap-BxEi;oniA)w$?^B(%~H91kn3-B?5jAo zz}y>n6^im;9G~BW9GS~^WL8+LhO2t1Fz{V3pze-v>vOhq*fN!w$=PVd|TR zG0*H^o(F7|&d7RTp;0KmWDWJU6cZ&4JIuCZ5cF|FWO1-`rjws`<9Epm77eECUapnr ziu!cO!wc~H?5eK}LrQG5q;b+vchPgmw~$K&aXs@_8|X3s@(P-{-EiA z*UuX{XrSkG0(1g&0(1g&0(1g@8UlW|xIWyt&JQ@oJf^Rs!*}+mjm^i{w+UKjkMhYr z8kE0Cd4nB>UbnS#?Kb6T9*#dF=MP*SkUgA$pzvsFvYrxGjY4cOz~t|y zbt=B%=e&W{>bAa_Rgm*TJ}l|vfX_SJ(I;-O^Y<-zngjd;u6RAOs(T9)jiI!{!xADB zzZ}B2u{g(K@6APjxvm%x)6=lk!#tzjC#q8*Ll#L2&FF z!sq)2vu+c0T@|{PiaNnp-Yfp5^lSDzvcE1Rif+HZ3GiQJ@Yn43#Qi<{Il%CH H+wZ>sir0n7 literal 0 HcmV?d00001 diff --git a/data_application/88soils/88soils_genus_table.RData b/data_application/88soils/88soils_genus_table.RData new file mode 100644 index 0000000000000000000000000000000000000000..60f1c9be0b8e32ac8df09a8436561c9c96f7c249 GIT binary patch literal 41535 zcmW)ni9ZwmAICcsa#Ji~uBZq@lWW)%m8%n9XB#0#a*YgET*hV3`QtZR`wI%eG~`czMJ+3X{{RG!?Wha_{wW)u~eR8jA|! z+y`vkbl95=k2v{Kr|RnQJG7Z=;Q*kU$k;t**@(8tupBVlnO=N2bDYe^+D7<#0e?{9 zJ<%q)LuIDDhq>!aG|xCH&P7P5rdyixMcw3)u~&zx!=uo`x~nLo7Xx-a7W$*plXrA{ zp!~r$FfR;O5}GP@?zIVBq;ixe%H-W3-{<Yq=)<-I>vTez&5arDF} zAG9+!_^FByRbFkS5(NT4fiY2O^D@PF+6icj!GWDvDnZk2?eevtNg{aHp42!oANvhK zTf2qLg(_fC8mRrVL|QLxOBUX_48kA4LG&}u<>`v+LL+P6X|*lZW{)4{JBumFT< zPR_JAH;1@S6*#FUlfIY$7&GZ|@Cu)J$m`xGMb*Frx+MPqe*=C-Oz7LuXFhQpgdG`l zrE|fwB_P^jBAuTXS{$D?@y03m#v>41y6W+U{o`Z*TwToEm`A@xZouvaiGOCAm}Irv z$%Zc0Y(H5-|1YPSO_<;;>Poe+VU&c1^UoA!+ynR=j{LXqSLXN`P4y2y^UWX-vX^eL zJ;K=@>2<)tb(JtC0U?oGev6%7C3hWru#m))s=OfoFEegAE}b=I8(ug_oSHQUDB>!+ ze)7+G?*e+3!EAc+1+f2XY|=?^hpv%xqX#pufA8x}8YB)4p%5eg;Abxif3|wDtE&<1 zLRs=ElQHa2VOa#-^g}nqB&E3xu|tc)Mw$(ZCv)3aT057;sx*hQR{q$y{EFe9J|jhB zpD5wsw2=^m0^x>~smkHnMcNE4#BWo9bizcUK*qt~Ae8oV<}`XKIrlW{qvM;+cUD4}jD}rj*SNib<+U4hF3gCvN~;F(whdyrDh{`&2QEIiOM}wD zv4-tyLjk?k)_Bv~dvF z48uK*+NANxuVR);>ScDdH1-A{gHMX*zigh<{7<4G<$Y2F-!bQ9;O~>csY(SCy4(A@ zmd1#WsenCAV_C7sr*7pq1QvtDC7@$7w6-&Jk)!A2uxZUc{|efCa@6hrX8ub0Hj6~K zDI&SiTby3EG^93gjQ2;Q4eNGB_Frbh!woaxjCW-^9Km z`+9vvslYFe9%DE4aOvXETOO;w45){qock7wzOja3N{qrE8O}CgCR_YJ>YtXPI(GIa z249%?y1%MC9;zSS$aY3#`8j{$JCEeZ8{5V$?|c)BZVR&_m**-qzx&kOQfBYKf#uv;?P(Y^JW1 z2Q;3z&09U_I3n-uX=MYJGtH8GQ@`a_y^7Ev?#i#f?J@tzGu_Z~`6?HWZ(rxUWv}#` z8#(;E6Nd`0=vC1qZ0fa+-@8%ILO&2%5D}LfV+kUN6VjQ#(y$ag@d*LU;ytgi-InxK zJ9xkIFM8wmHBj1K28F1cwVC8JBYG?vtuHoN^85aV^ls3|-;bO#F@XWMPo)C(Yu%W( z7;7kygq2M8(JmlE+XJreMz=BIv4q0;xq`y~~yeN{3a!v7SdtX->y%c3rNQz)G$XU&(xN%Cz{z+F^QgEdJhDtUYS2WZDa7 zrpTTBu_1izkk<8vZN<(iK>lS;df&LR{0%!QJT$=P!N{-J-n|TTkONh7iO+}%qqZKe zr98`JI(9K_jMp!6IU$5hwgn_0=OG`PiQ@3gY()4qks9~yZx8P$CEr%@;aVh))B$`- zb%!q7!IHS1*e65y2VS6kiW&hviek^(RMK1}Z4U((o70%XSt!Yo|8Pc_-)gnz=a4NQ zH!s?xF4}ELO{eltEk5^f0@cFU{5?EN3((;|kG{|!jGNe|PKGd9)<8k9|E0ELXQs`$ zoPe%3a#+%ng|!ML?xz*LPr1=17VY494u+;l)L_iNUVHE|5|_M1_BfB|AiGW&dC<~^ zjO3%@`6u{K58teZiMspgxBwx&OS+G=?m2wDn}g7aQo*A)h4zqMxh)~a9L;F7N-;q; zOG=Jf9u)=FAC~^sllb+G=M+~qNI2VNe3#`Z6$ov{Da^0SsY!1GuU|f>ZJ}95m1fy6=Q@hZ*h=+qDa9*Bd+eVts`_fb8|cVQ+AcGxP?Am!t$0i9b?KSWAqPQGO?O2i11`ckA)Ttwh@ z8X(DJqy}892ryRXPVW7*(tmv;ggZxI4`#V#vZXZ6xcKeB9hNFGpOc&n%#z$l3+11? z{@SSGdOu89p)FLtGG0t5$RutFjr{W09EL@U907h({;uun z-giS|@^}1Q-kf`+EVsG1cYVq7~y{= zK&)znx~JH&V&A`Vemm%q5B)2l6vTe7TC4ty$=U{1tAqj#!hjRLX7&Sk#zpiVg^E9K zB(e!nB{HZy;-5Fd3%w^dQqcCqN)hgh2mqoK((q1R#p#f&@7w~`#wh6#KJFhGZt@P< zx1|86-T$~bte;6nK`R`dO+8*K7vg}V(RpJcg7t~E) zLXH&IC}Y`Q!Bnn`PQib`_1|OH4ClA7A@WlezPg~z3PMdOmw1RbcktuS12IIq&JYUG zR7ZaMjBYKBSf;;2d6Y_y0k|58fHsraG>MQ*1U*cQr~~c>&$7!A$e^AXL}3+f`|*l= zNQ$uA4q~1jMqsgGk65bK$20M|Ult&k%_euE*y|RrbC_=JDVHCWYAo`?IK8nzd*RXiFs^>71HdB= zVT#Jo?|e5>gtV5#Ww-om+!mk`P;x~TQuC9o^y=HEClnTLwXOeonJ;8|~fiGn(*L**&zX8x>h$qVOPwLY6S1+iA6q7hyfhuJ{M%IYeN zH3d)3_O1eqW~#~X(yGE{2CPp>L!iq1~1MqjmwLl8z3EOuN zB|}l7QdO4X`sI_5O_l8i&>RTDuU+9Nm3$9s9QW5&y!voRuKLp~0k4S@PbBOOj^G_P zD{v$gM4@tX-C)RP{w=Lk0Z?TlzwZ#|M(gP4+^NAGV%?K3J}dFZOHvgZX%njFJ9J7A z>(v`}dcwApKB4VR=gYL#J*)VD?)n(|v3ybhFMO?5vGPGuy(}x^CbxA8Y*#a#-9is< zo;}cj_qkBuYqk>N1d=PRu!H=;qXnoVbBVt!SqNCB)R1}<)!F!HBi@2!Fj@)luxl9H zIP-FdYOw%3g(jN6ZPz~oQg+B~QrN22i0-K~91Z1&w?HMq%BTTUgdxXXRP3q8q3_rN z_ZzCOoaA#`{nMVwtyf$P>&qT7-|wTT zm*U5wTF@JExQeufw`@0~zT8HgQt(Rc@itYh)+Cy-V7Dd^E9pf3vs(BSi=e>LRk*-u zKFe?SjYNi@8TtO&0}yXMjRo~xFmxcP+gGL&h0mh<-`L@1-OSoxT|UxV;-f(+(X_4a zKh%GwzMIEncE6WO6v9w;Rnxt=k}89LnKOM?HuaWbpWy`sY(<2Io&V~|tkSqy5s z7->Pg@y5UIwg(s@;#z&@{zX{tugW4m4$eZI*=lhBo#WR)Cq6XerZq<+0u#`p95T3m zbd7u5b0+t;5TnSwUvh1Cz2c*>??vH;z(0O}=}Hbw-NjcI2C3OJMu+YDZ3&NGp==ir zty5kzPtz4_k|HD}I28?5UG5Nn=%p@@!H zb;PLSz1#e!RQBuEtW%NN3hhzcnai`7y>fH#8Y}LADZG`Gb-IBE+bsb)^)hdKu%I_n zaw9Zg9W?3|+9%LXHpsi761pskz%TgsJv2dsIspvVMD^QG;pH1vS9v@5z7VzLf}~n6 zJ#uKTba1tcuwv&jaVW&Ly-f*CLTJktABeF-b6jZn(%G~$#)@Fc5%}$b%H~nlPxnn! zxw@cxV=VXNZ!{>6_4ws6z#|$>d@zUj$V`DiDn0U)7O*`Fk9NhE*~M&D(ymW1$Y3uB zspNXBWJd_cqs><)1NyAY1DEAtxTQ%`$|2NGqR=70M$C6qem951J8uYlkhBw^t8~Zm zc`Cn~rW9|Kv9=tj67*_2dfrQr>4#>~OV;!Hr(XE5Y#Njk{g(Edx>5H#sf)9Jqz1xd zKc()%dTlNrgG-tgL2a34*ZOX~;_A5Tg2U&+yIvlpF`p%3yF8WtRk@CQ;wuJ?I3%eO zE7L}eY}4|TDFmSQaG-Cyf7M=|kI1QFKB=BaAk$Mn++q=5@U#K)CD1%c=Qdz-Aw%g5ROqB)8z9=bIKBLSeg7;HKY4ibHnQ`i`}>P zd`F}2)Q}&0yM-eHxC?@S2JZAC&0VG699)V_HR?qIwQPI)EaqEG%@QtDI_uDI39Snw zC80~^J%!7Mup{w|q|EQqeaXOL?^Hg-`)bhc#Zzv-+rAGjNag(!bTalSiB&iID?PWs zB?imO1<|N>?cmrnzT)34>m0}wQ^}EUF{4$36NuBM(c$}F&5;hDA zu)Nav@jz);$DA7CGQ9RMG+?-DvLPtbmtul_etMC;LszhTAfmEwvt)K0PoC&5)`Y<7 zTV!W-+e-*~qk*BuI^3t-P=Zi>pw`cNmf>%WtI8ikPNOSLh11Z~wm*H$9Ba?ja@&q`lq=C2eT!s`ww;(mq%-r}Se0}PcHgxv^};*52YX5A$e`P^Tv|=J+tG7O-+b~{_g?BW3%#_wxg0*K zP`b2rmGqIx9}^2o`PQ{p%6sc4`zJ{oc14zSNSkuB)}t3!`8rj`J|%N1smSVGF{ULY z_Gc3YCO;RNn9Sa66Y=x=qbl*^oxsKYjH3`{haB$Z)uTzCzmp#JhWCYCND=vWrd$X` z=nKm{Jn&p&O4wYf(j*<#oZDZ&c7!iCC+sKR*Q>)sEV)yL~!k1ayY zmp?G|n6+0u`d|5)45Ll8J6z3q`@n)TfP}c_qe_)|@1@szcF8=m3@`U;_w0mk_3`01 zGYonMvKFbA3rGiMdoqsSOVS}OYFG3LY9%+K+_uaHNu-3Ale(V=?B@|FDDr?1F_ye< zZbHZ=oV+1X66`;^I|p4T8+pgJH+V5b(Z&pO==dn*T_@^OsL_!@yz*d38}kvkv9h_@ zotvipc$HC1YP4-F7SBTRIoraaiZ8D?X$$3jmq~Wx87k>IHs46RgM9cDBmYlM)5p7{ zFVOG&fQp8VOO(tk4_^?`I;+1mGw52R4EJoj?#ooFROnKJXY!3$@h84NFX#(@fh4`% zsa@SdS!Q>Kz@gl$B!b%aG4Xs@bpL;Hsud}z(J8+RmuH@z8?qeKn1DZdJn+L2w)O9| zWJy;9Xv^w`wOL6mxiKV%UIZHZ2nsjM7gd=cv|5l~KbmPCG!Bek25WKOk|3UV=h0i3 zdP$jpnLk#(8#vBwB0>9VjY;VJMLue?CkescW}eK zkeW{2e(UvkA>L~46=+z#)rzSrTdcWqTeL_nMqLiHbGbWqpSG;6s1TXv3@^NQYGrq6 zzosW$X!@UwFl8jwPChmwO{k7;SLs%m9JFg!0HG2Chf84yex{UkPa`i@!& z*x5De53`_ABp3g9+gd$>OV2befH8P4w)Y+>Zg4K$P&riPjW^$13YKjTaE?cwEVGT~ zsw3Jp!CXx?Q>@uJGt(#T8(gYiwTFH7;BLGp+?OH_b1V zsO%O}$!EKLaTy|#_kKnZnqkK|!H{HzTxoiCrGN;)TWZ=cn(w8qsRf{_weBO8@3~O)R}0 zZr~jV=#}+<_#u|JbMR?W#X{Oi0Fa(MVkPQuL9@wNKvcrW2RaxR61-8<1Oj@J)&_pYI70; zQZL9g1WYarqj+Szy7}kt`;Q9u#0;8yloGo-#{4+kWlr*Dy*yuLnRLrOGNzjW_^%h% zr87OVW|SoGvW1kQuA#zzWIy5bwo*qK-dnb$%lQm2L4I2C7vKvSh$a7W{v*@Ha}Cqje;C8K@|FJJuiTd24(Z_WJ%_1>s7zP9xEpHL zIHdK(Uu{0y*@^kpjM^TO%p z2Sm2TXFc?f8p#32Li6;rwTH6Es08=n3guRAx0OR|;@A>-1r6^CIa8*QfW`2?Y%C2c z3|1c64YCV7ZoV_3bgeoQ-`%&Z-M~KOcq~sZU;-;_7I>8zHr7-QGT`aZ+W6&}5qu4r z2#sr!d{(>>b<4p{yQ2{rQMOCO>+KkL_&~r>s(RQOne)XP9Kf`uhGjdck@mq|MQ+DF z2hos#w7ht~6(cgz`{W1%+T_r4gV=N%HdzZ#jOX;bLLDq~bwiQv#t0wlYOlm?MW zOfQ+6_8JeSgr1Hd(4TK@`81Qz3AR8mye?Cp9kC#eh0R`fBM_r;{Tea67vYMX0ZD$L zlGxV>6Sory{*SylwS0JoV(?9F9yW0Nx229`*y!6o5>m+_#>mB2ed6Zl7xQ0g7A$^` zv4n1pXVGk;%J3we+aQ_bkV}9Oo#b&#PC>1O^CHM~gGQ;U%rxJal2!gyaLM|&QP@Qm z+oj@zT^ID>HsiiZou@rkRxa0=qc8t7l-qOgd|C%UAxcJ zk7__ZMe!`tUZ!2=9?+Fg<%NM3+LQ+Dzv{u4d3;-GHY;zEF5m3fSZRnf)p_1?P!AGG+ zDQ)VYj_t~kb+L&CzP=)PyHQ(w;QoGLh2cn@@l07PcHik?-PfY!`Ip#zt9_Gg`kS!h zxnq`jRzP9_HGAT~_BUd^th>^o#jsMo0vWhpGZHW)m*+*ZI%79A7T_W2Tn<6|Ax}qt z51C8_$jpYOUO+F%zR~m@Pa(M5Tk;Mib0I@w_ceqK^RQQ;O)Xc?=kQ*HNyv<$#Wt-P z!jrw`EF^ao3<+9~xZjpcs1PBwQgXU^sqZ-~=u08bcj|9s%h*W>wI4EHE#ro|M@Db^ zfO?&6E?IUBicNmbsr z&LxLr`EHR8qOK{s#m$)hX;U7!;X%q77HtNad}~=8m6<`no1RgtwV677Oe|A7?q-t3 zq9(Z5+n1e+nAE8J9S{OL-P3MGxt;sIR4rzOe(PZR>_d#HI2iy(d5J&)0m9gCAGvVf zL{3RG@T87|E9$u16AU@(nwcr5eZWu zWat=evHh5jW~3!pDoqMyr3N+1x#NW zjyO2G`#xsS$c~2JiCNc61Zy?)9GWgSTt>YcG8Y?Ie6CiOd2!k{t7#^G9XV;P@-V6~)8k4)Nj&x&3kA3&EnnMeiJgkSp|U zU?gicvc~_XF`_7SR#`+s@Mxmd=`bcMqm(C}*mgSybIgCFY|FTwY5*)-ws}7YtVCrw zyU0E!dy%9@ zlOTqT@CE;F-Su$VJhqq;nRuT&u_5G$m7&D?3NJzxL;VreZl&S%CC)g7O0*wHU^v@{ z7ME@2`)AmJusqI>iiv?xagN+ulDqf!JUOqye!tZPT$G$KAtlYKjq;BF$N84jwf#$# z`kQcke#K66I)u|H;N%x-V!fRc)$in8KI#RQLXRam+G0_vRoP@uK6Cqxs|dSvm9vjf z>89=jehJ@)`@MvR9jkYIfFA=Ie`hqctlFs_7LuwxQrJWlq_+fA-Hb{He+9?|J?6~= zJfZ9z1d_5qPBuTS_&4ife}heuzEKJ3L~-^?;^W7BQ6|rZW3h{q!wi5hG}j!s8vnQH z?5g{g{67~l_nI~@U5zTxV)`yMUE38h6~;>4b!MShEcD-Iwmmshv@wUT5k((G?A||a z-=qTF50&IvJ`VD?H8DHLOg$&=x60h#94hsFt}IrfU4vu~ENHMx3L9RuEnCIVZm@BU zOR9Q|r$C~)u_CCMkUnZ&w|-gV^7iR6ndd!f*XB#&(Nj<@R!4^qqJy8L(RqFoFntLo z?H{@-YPaol&kI&9^>BNmRpZ-oZj(r&p5vCdwF$?zUB)%cv!&RTb2XD`e!KA}HR6#V zBs|Ai_h_=I`Ff<%#WQzfHvIfM3PE|tHQh!yayp0aoZ`w><#pd>zB^UR=j>iaDr~1O z!bld3lM!ho=$;Nx3+nDZERri#6U5Cks8vDOiBZv$s(DIV2NB)u-DR2EylA&JVoM31 zS7-5Kk!Ah8URZx*fb1MtD==>%b`1mk+6Vm>uD<3;&;Xyf&D)jcK-xD zE`0q*!50y3deNSdReOsC^yWk|$6WdF$Iu^YsHCS?w$AcUw-=b=*zj3?NA#?hYS;)1 z$?TcG&fjC0ro#hVZE=~4bpVA`@8N!IZ#MY9*87F38AJ_+fxGRXnwh}eWT9DJg!}w*5vGFH&jIUT!JDwGy(M%_q0& z4bs{LG6H}SGD|ZsG1x19%K2-=rWRQ(w^NZ4R{4Mb6PffoYo`83f&jlJbogEF_N@J$ zO!LrO$gAtI6NBKN4FD!XaLzGrBhc&XmY>wX6q)sJt#m?;&_UE@J-4+A%o;TS%@R*v z^irFP+FhIqdN^#hd*mVJsYXA1!Ajj3!Xgt}*@yhEe?^>~(~wLN%ge>-gHsSoVZGt` z^59G_4)ua+BCMLTYrl?%__C4{DbdKE!1s3$w7ao+eQYr$tZP~0tf=TYy?@@dWX(}) zF+L;CMP)q1`G8_F7WdpMn&6(gy^8K@kUDWN1z|``Zf2p;xTiv~f>8$cOYhfJ40Wl|n2e`Mu zjB-R;0I%PVzNHEjnTZ9JoA<*71~oq*2B;ED0(V5mJ$G3fOKntn!04z>I5>5@pNq> z?*&$!l#Y->!Nk-~zQr03S5PJV-PNm52`We$fAGEEl6ER;%%Ee{e-*_4GM~r63}@`= zcyA0e@bHRzup+Iema*?xv!Svn@woqq-S%JSuR8ZYWNY{vcXUyrlFIhwl653CMI5ol zOcVG_jph_gj)}LLzufUH{Fhvk=HhU5y^eD9&CJRnxsk8+Pn>bO#VaWma*&bvd)P9d zw;wqC$6g7n9k;G+8NSVTQHZGe47>4MYYnk;LCwIU=JWI&zya^0ooWu#{$*w(eiyb= zQALfuViUCz>#~(k9<^`d{S0^y*;-sO`7j~}WCoVk0Pi-MPW=6Wk$VF=C*bDMn@;4F zKy*Ld7HHE(?8~wCgGvV^I`igb1f|7gJtI`de~m}pyzln zgEZITu*NFUvI8qc)~qUL(dl=W=&$-GQoSo0qq-C8yzGb(*+SJ#jbQ1x`1lyu+0luJ(5mMIbOpLA zIK$ou2-=H9YJXT5JUj=I%GLI^tL>|Lj%h5rVjd1FU#?6A#w|mLS|w8Ym-%YCqv0v) z85=G2RYeM3`B~-;^8UGK{B^#`C^s0Tk)l$9mVc5pVF>#tFlj`AJPzyp>p$ic^nwZw1KDjY=ftDrOHsI$u2?ZcUIRTl4H3`1m30gGe&*y$nkaNa}$g4 z=|_$OTdEGwx7X9!40l&DY#O;#k5{hcKdj}oX{iR#0KFt|L(K2!=rP^HW~98O_VYjkk_I*L9bt#9igXS#Mb1g0XR${w z{6a_en$sFaK!Y>@Bkts+w_3Wh&~!U_A!TzCpJlt@HSV)5;m07D@3M09F{s|eQpD4v z4`_qmBFy|uQxZs+b?2OF0MKk!>-uPF!UQ+XXZmny{X|XqBsgR_=5DK1@)|FHClLJs>^sq~e2K_R8$* z5TPm33PyF{xA3trN&j7#0oZJXF#OELEkoIu_ibu69zPy#yFXF;E26IjZWUmMOwt`o zOVy;chdH|detE$Q9`o9*+iLz_GQfVJoK#yXVv0dyUU zHCnvuEjZVeD);SpzCUVA@4n3dd+(M;_Dg(!$Uj0ndqtv34?$?bRc*PpQDmG{-vKa^ zyF1_!IpdZPS5ea@3NJFa)=Ak_`cdO%T5HMz6KY+KNcKKn3C6hDyO;p&TxsM71xp-v zTBKpd$cUKU+nM}lp$;OTqSU6cYG7Bsh|gy3eiMz6Thke?FU2;&h2?=6a3D0_9hIa` z64_Mq&Yp)BWMuK@D9eDMo;GnD-c3-ChfpDG|HFR{*J~Xn`*^RaY(N%vui_T~KRzy0Xl7uJUE@ zOk07I?v6WKXUJW?2g<2JwDU zmipEyKYTMu%D^rBjj;?5K+Uj`FZfZ%WdMx8iM%Mf{@F$J9QG~$+R0I~lhC!=|Z zOM7BM@Z$T{N+B2ED-LbEZN-rx2)NyqnJUaQhcBr+iV#etg$#B+#;)={vDzeV3Lx==)F0qX>-bZ@(Rq+#AXw z#(xh8(K87An8lY~pb%QHY(~YS=VE39#NCwKG!?L&0NZe2M{L&o zit;Y&VO~)nmGk8I3~lnVlk#Ovwc~(!@mYzjO#s%0f zl24B7n0*D)-ZxfV%`XbVc&<@yGrRGLbCj=Y*mHNPBs2ugFUmu+0&*`^SsXlt0oXIc zw_SJ)^!`4mB+ z+?UOgN&W<3RF2~+H`q{)`QyIf*?ST~hQLei6uZ;Y+_FnYIFt`XrDH2><;Zwp*;Bt4 zmyFWru+=-S1-aZZ7$_&FbVHWy?$0+h=(8j7Ah4IW*5#DwIkYJK6Igb2K&Wcs@0ns^3Gl+k9@RbOYaKfqeMu;>bZE4|bKLRYyF0h{mK5pOy~VReRX8 z*-f28-c#!{ms;~1L|yCnc5+hAoAs{S@R5CB*n@!!AH<$hT5kN^(|&7ad<%x2H7XB! zN(pl*OvwOfL5oAg>*^Mo`;J}PfX)MissnAXTnuV79y6AH$8H!^UK4Z1y7z5TEPgc` z2_C`M^JI?=;SDGSw{-PI8v28^LN3^qZEJ&szw|kzp_tsa*QPx=zOX)W65~@o2L(9$wIzgBbk7i3-+x2cbXtMVgqOn39=NmS?;R zNVcIgWljB+-(os1*K6Nd@Djk$oAIlu%`EBCBin6rp`I=uC!~dT2<8Z<0Q9<|GM9+m zX+ICwga5cLkaMhbk{x{r_Y2MVH+>hahwIAU!QUY9uML>sk5wGMejJCmpDx!Slj$nA zUSHo4IM>4QK^%6w3*j-%o;C=?CRYsX$_9zDm*8&-9pxz!--Z${A1b?NUUM)uE+AlV zb2A*ywpet#ErP>kjLnMsZ<5;CVEhm}dE&@9zzjdW`(@#@s=bo>1ZRaVq#%P@F%SUz z<1Gy>%7C~?K0HP+%ousAniXCtY?A?U`v$J=9H+9-ZM)c|O|C}=-CyUV`afOU%UlYv zu2+mLU26W?I4p&d^_|tTsrwTvH5|urh2jXLB{i=d>XTZ=_peb1rv)vL-|gk4Fn^s| z#*)S2P4_Me7Pz%#0`GF5zF#((eoq45&N4=17jR)}Ub544(eO*AR1wiq9pQ&7Q3^@c z^Ivyn9(C9AZ-zOb7h@bM5bv=KGRS5B;Fn#4zl-IAc zp}BxEM!vY->x|Sqn_Uf6y_>kCB@k>lH7>Z9Pp&=Ta_4NaZwi`j?#tWx{xxCZ!^|F= zA0cM5LaZ9if65IrbQ-UmJrHE9&aaH>n@n>`1}7nr`h8{nbv!$$38T=F zQiJQr{HL3r_PVY33br@xbhexbG+LPv{Ff+-QlHo(=$qf%dKhMUrO0o2f^%Y<_iJElT40nC z+(YdQ&aJtHWmBvMHj@632M$h8J{?4AKBBge^?Zy1k0%T(Q~4(PcF-n)!#~@}Y;1qo|*MN+Ggeyg{`l8M|*o3t2SP_w@yyY;IAm zKsj2(k}LJp0%MoZV8}XlQ-PzDSa{uqJDTo|`!?XnkdDb=N=AW`1OlQ5><%$YfgLyG z6pHAoZ$~E9ZWnE0QmVXx+^wuXx~YD#F`%srRA#|-l?5|W%JXWy)aH)H7tY^}0W7cpfs60C{u<14RPYpCG4rq_k1LS;6L{-u9Rzel<2Wq~o>7Ji`( zfRSU-k*4iV;5QVz^Gq>;sLFD}B^~AN2+6b7OlRE_t}}ffFmtKomKn>}!Pcc7BCz}b zk--PT0*3)HoOxt&R=+#w+pn{@D*1)nlAT@u*%X)k= zKKnN>dhgX@9iMYpXJI2g@VYoN(PUQ$^Kd9NVb`$!ehCb#GG6ATuq2FKvcb?Brv?g< zeKZ;hUa(Vncm+M=V&^-Fk+R_$^fyb=ybH=)JK2|d)ecq1!pymU^>G;sxnh+Mr5^A_ zxwtAR+%jHTA zbLt2VsQkkt|M{6q?AiU*RT4FHi2i{2Pu^>zW6uW8hbiQDc5MAY&a0uTR*t1FKGM9_ zIk4S4y@eerG!5y{Jg{KA35nbF8Xtd;8r}J{yk+y&;eM{y>%L20cDfH6Iy9d*k{+VG zTx%xIWWHR>N+I2(xbZjAE3$?;SP<{HTt_0!9;=|vo_oUnsIJE{%9#KzJD?)J7? zfX+{-t{PG3hI*Vfj?DDB&lF2t81@&zl~U%rhr^}Vm2(6Up#A0r55qjxhmOf4MZkLq74g4Y-4~(x@7B(c??IUf80O5y+b(z{Yej+qo?>U9f!lx|1iZXtPEm$QiDv8&+2dnJVN6gzn z7OxJeLf~^g=LtvU&>g*d971l#0md_bcyU{Suik83HZaWbxyc=2L~~R;;ui0A00Ob8 zc>_B9{P>}$7Xn(VvAnbmE+ho%ZVt6F-p2j|PXBr7?kVd2^MJc4VCvEL&3gCKZzg}# zB6)!RUlagCnuWt zix^wO*VnxUT`Z*H_kAAHDs}S+ly&aOOQ#U=8h6+EF6ef7z@{goklyUqM2THR5w}Jf z0ze5I&dJfkysjNJz#uy4oHd!mj5n2bV7otgU9t4t0o0OgeIPb z=+&(Gz-%qC(xa#h&{8X9LT2h9H19y3dHqPSAIKEjwca$JFVg=(=fHH*o&6kBuK(k7 zw-!!84sY5T)KuY)&M(^DILjXjF7byxtZSP2QS600xCSrk%zAl%GgjqOf){ft7UPV= z!@aa#ulk|4M+>QZHdAsgUv_LW-^A}sI_7^E2)m+lZ*GN8{w0uOBd=E0x%~aH+X3D4 zfPQqu`idW6*>zmm#ob9n+%rHke77F_cxjVf@A!||q591;!N2)KVGE|WVesa`FVRj z^9ALjp!KFsY*58C0Y3}jiV~o?hjteo* zcVD{(HbNWA(Ar}PmELs>7|I-u4Q=xV9ji428VQY;w;{Cl_yY7f8gg8H>%tNe2(a@> z6WOS19h&I-ReO|(!XW?A+o$Sy6up~f$IJi0%MOOk|B)&JWTw=#ovkV zkj0tztq(J160?q>&?tt#s7v^+-v+*X)MFmAP?5&8KOo{?#)dxoEqkuE?_a64kY9zg@x2M0FDo>LK!e!wiRhal z-V>sF4*Q%P;{1r~)wYc~^cmtf!~k}#uxJ%Srnd!DeU!Je@9gTEYOLGZMEQ+QeBI3n zFCSC<3G;W?*#KgE+Vn*t-s||@Cv4BoK480FVD>R2UL8_fd|`}Z&`0l)kU%g*dSLZZ zV);bzU2M?FKi4+5UAcqX(4`AhLDn8j{UMbV`^cFDrn&t@*;EFd{OU42?hxUV_n73g zmLUZHh@sa%Bt~n#wDHA z$B9tpIA*yo1cWk=3I5=c2B7Q=Hb^`J4vBvZ3th2KX};x1L&xb%W5V{kU-lp%E+KdNAta_iZF{SS|zhm*e?E0cQH7pv!)W5o-`y}V#Aq3uK zgV@_|idg!s(krrj2|{-pt1n?J^EgBdVeE&{2Nn9rmr(MG&NCs)BO%j6$Zf-f>Z};k z9Rg#WJ5$gzpU5lHIO;a0%LH*7uRkC(7nNCV#VQN?c!}4OOP^RoSdm zxs+MGF|~(4@SW?z|6S1aA5CzJA+Fg_`^54EQQs%CQ_B3QW%p-M+-ANPpX)OwK4d9V zKUv*(CyWPazTG00eLKb2C+J|zG!dg7MHjYr3elL(+mdJ5+&o?Ni2U+TnctCrG*9p~ z;rW~Uy6HV{*C(}%_~E|n{rxi^PHK6Owu}7#k)(~ZKkRvv+%a*FdG^MHKR3$cwLAN= zf4u)+Jl~SCe_Hs* z!ZX*H^0xTjHa%ur{I2R*tTia=uKJ!oL(C~MHQPn%8Nl$ZeJv(Pmzp`RhJ0ohL<`q@71AIqFVA&pn~ zh;5Ec?%9>WX5Z}_0|Uj^{-pa6t@=WdeL_TR>!B}VilG?#T=;^H4~xzHm@(z6NEile zc!f^R1OhRaHS1g2M)Pg^v8}Ba8lsL*S5}C{w;LzSb)~qBppzg2#E(`0BW5=(|Cx0*6*}^-{(74UJ7xHLu}Jf z;YzQj>pNxho&br?uA+6`Yi0_bS1wl9$Wl|z$#(;D0%jl&K@9fuSvf)5-0u4{zUmOhBJ-7zB6u@1Fe3GpHMkS3TQ z&0#zURbEXrl;9hQ2F-vmZaR0=jcL9h_%@ag_?YIwCDORUBSv2g$oD`1%9paue?*7> zyST?R#p;FusCe+U_hI=>`Gjlw46XkOHFRX@SoxVRx=ZwqgEX!QzTuMw|5Q>25j&!r zn>YavQ1L+_A=Y-gMBls4#NX-o5mSF_`nT-vCweBjEBQ@ZJ*w|@o)^#hUB8j}jJM^4 zPk@8%80-4wv-e=A5KFG2P~(d+FqVE2`0lIk`iBP0{K{Q16uNOh>}SY(QCX<;+Fi0~ z+dkeUL+HdtiO-POFWDWGy8Kr64v@6Yc*HgyL!MKg{m`vDR=u$+=)}%Zbj9W+3>zWM zcSvm+Gh*kjzUinCh`8_-JV_bw!uZN1(*JbA+4vr`c&KZ z>pt73T`t$RZ(b4##-MZT!}mg3(|tj7;UTv_ zq40<_H(|nbUi$Fmp~dU_rsdder1VbG56XWZPWb+iazZb6_GRQwa5k2P{7v^JnVqkjH0tUSZ0#P{2%&vx9~dY4%zInjBW#~c?B{iJ zLx|6G*+QY#m3Zf_2~2%*L)foajGb4h`VXaR>YEQww>`4`x-I`9mM++pjYSpb+2&87 zdbaI**?Awz_rT>^^R=#Z#tPeqC80*>;|kTj*w3-1fSljZWD`@ccHz+Jzb|~~1$@-Y z0zDXjrnLBbe)Mm@krwlFVfn8 z$B@P#l)kVwPWmsjea-|f`e3Wi#PVnG8H4YOuG{PtKIl1=^{s=hwqlGQ#`u`#t&M4} zVuH$7MCS9^l_OY&Sm@FRl3%SKVA0P|=+ZZI{7Xz@J;Zy0*#BkUsp{`~M(2AQBwDkF zOIyhp=L^#(a4d*ztkRr^i`eJDXZw?^-Vd?UTC5n_xX09=vFC~Lms8r!OR_O{}?8x#4N zS*+vMgxBY@y7(@AJni3Y<})pW@UOs%d%`#;#2%xi6U*B5S@+%I=g@UKG0&?Cs{O_{ z9rvv}))<1AX{t?D8G>JALOj6OJ7Qj&V?y%p&Jdb>^JY+L_ij4@&FA%LzM zLa!M*9fXKje8s!kppqLf+D`Q&qE3YBOX%OEZn9?RT_J3HZZV(5`$E{V2~#HCozaI! z$leJ7u{|!&n<3C8!Kc0(5Fm8*`zC;zcT;^=2nexFAtRLW3Z)%=(MQLQu?NIDZhaxj z)_wD|VnWpx7cprr{2s>cZ-xQeaZ}kHshuF{r`wUn2Nt@qYO>!90k(ZgYEd*`i<$<&-&*=j%DoYG4}SW(4`X+ za|uGeKQ`F*#RXrC)xXpR;<)?bY8_rXmdVPq;ZCUIF90e;d-27o!3~~ z?Hl5rB*1ouGHygv95I$Vf z21Xkod{TVti(=KYL11Wo!los5ymVtpOukcn-zS%;?{(!HL!<360(%a9`WUF}y`jl) zwzb67XOL?*Y$;nA@!HW42ymGWU`AB zCLr?7jY%!%+@A2hLo_ED!9Uyo|35PClD%72-Ujhmj5%P(;@1A(A8Guq%g;)MA<%xKpKnikmjTt^i0yWKc>C2 z9n_~$EW5+}E&Gk?U7QF6WXlbi*2au9FJ{oqXCvO>9W!Kkd~Dx`@q5)C zXzS}bHjJ^)V~49bH}#7)^&N~+2JS-4ZI21Q##tp}qtd zuHkZAM0rZgl|&%(m6V_i0Ir$veAynHzTYfU=yJpjQD1oA{zpGE$fw;e- zZ~MFMqO*Z4j|%4RSlIfnjS;MkQvBa`UrBS}2QJ2aOmjP?zKRgnx9n~M)wAsP^#8V; z389ZO%Nup}Or8FO-sdqP&4oSa7_xUJn4nFDhmaK^q1&D=IX#sAs4(<1cIe}uU=Q|O zV>;j0CVKA?^#qorTK0Hr0kI+0*=Y6s9 zh0yjD8DeN-hzN1qLTuB}5gSiR2p1u*Utcj~m}BBXoTIL^k$1_nG(x&DWBE2Osg-As}S=s0%b^O2&V6ZS%VQm*sw<=;NOh z^LY2gnEDzbAoxw!9Qu%Q;rnV-8i=ogF zMn81pYJ6fS^A{5!&x9cWTCVgVU%9-qC8oLUgQ4~-R)drdTi516c3s<%Yh?u#q_hY@=7p^J(4jp1%F6{jVdu(DF`-B>O<_$tW zYP#>o;NO+NBaL-8LK`F3{J<9=+8t}(6XHe8dWq1^{0ZSB@z`#-URPZ?D8xBa-Myol zTlRUXE0*N~BE0ZZ=2@y!V((|{vSrb{^5Sp1z~1jD)<4;|?Y86@S|@!+C>Yy1)9r7p z_YSy3n~$-$ZV7HqnmnM*hgkMbRsA|XnKrp{+J4J^hb*Vv+|lLD$-VOb8>hv^WOt1% zDgIX_*Zgn7BX`S3=GjHQD*yiF{<%-K&+fjz^Wd|?`_GRLxQ{;^vL9c)lsxR2lPuX^?61OB%U_%`zo|0GoOi2ulS;kzG&-|`<{3axs` z{q}S2+aJF@;J@YSef}-~X1)urgf4u~HS+m$zP~>_;42d5h<}*>_-nquU;l=0^N;+L zeZ#%^89xihJTV-LW5svjTkhlMU-Gm6EjO@V|C%Q=p;bI>Jm-h~nLt;3MbG$;U-LbB z_BY(e7hgQ&>lNP2k0k%*7hgQ)KMLRSMEF9O6n=hR2$LdE9rvoAcv5-wjX+oY(0wQL z_lW)Y@<)N5`O)C}`x~CFzWtZnx4-^^`}XrM5BY}=`DQ%gKMHT=$LiM)_%;jQ9`N<@ z-TzV`;0OG`3a{e2|EyfUTlQJ9*xmc1iTKUWK#p&X5md$f^5{pJh*TtN#k}p}%l8dWpzNR&PznEsr(_&Gu zgG-CJ3NM5TcYl+o_Js50EPG3<+ttUG&l=rH(03r8_ESM)!5` zT9{0c85vIItM!sF-(4B4jw$T5vD|+}x<+QBd=IIRDIoQ2Io~;1`-^fE&g%N|@~B$O z3)#j3)KAIw`Q@_6PcO3hyby-An;(6i&!mk0w0zUzZE>PtYL z@TwXWW@5MVwPOC2vf#Y`EL*f5~bAB>{lsAEP1Y77gU^^DPrW0Wpl~>9{upe z6s|nWJO?gzhW|miy zywj0>s8~pt4C!rF?sNIR;(x2lmcA_?TAXmaX)j`N`{wqs#=hA-rk2Nq#hcT`To8do zIRsfdQ<3j~F%`Y;e=#QlK)&k<6*l?OZ8L;+a1Z$68IOEa`dIsv1~2Va^X;0>4s18y zm&No=zFx1YvA!tEHM>=6ln;>QRFq@<^PXK?UQOrZ;BmQ_+pgvpt9*0HujcPc*8DDK zgqw2o$Z@zKYM_eVM7k;77H_k6zLw9CCt^BObk=YK(mIM)D@PQ=8z&9Z!#Gj#7Au+Z z{6DxC9N*^4Rkki_lSTId8AxgtWXLn2-tUWbHMmpuBdM$Yw6AD)oL-#nwAvhZBvpR( z!(aV){NO25UAOe8y<&fOmo<)eUz5ZAyePz@L8dFw{J2>bQ(^6JWwa)?Q2RvJVJ@f( zD*B-%+?@Sq4?ElbHH){4WhE6u8J(Wx#ov`*&8Khbp0i~wdI;SUbIDYBne{T%t9*V|_~7$Td{p`rR(bwSxkGOcRdtO_QHuorQ@&hord4xy9R4y}uIn1N zO#b^@dqFKb=y z$~wFZ;7nexvYEnW@z>pJ_lL`3y;+wpT2z12{d)I_*0TG^X#_+II67;ngididam~@6 zAuLpJ64^p-4!bq%7H6iPvYm*qJ2RD2m7Ol$Rq}!;YZ}W7B~`FY@Q3O7uCGh3r{bCf zJ4w9C&+>Is_Vc1}us`^>GoY6&^O@ymn^L|ea?|F*)8UkAM@5CO6CbaNVdSWC{>kDG z7g>3XQ4H}{c_}Qcw}+gHmK$XYzKqt*mC@>%LY5!nTXMe1ij_pK|v*~Y$ zj=JXNJuNv3*0J*^+bkEtB#V_-CGc{hmIs12#pokX^*;7O$|`fDsbryJI;y7jUxIt} z+ByXo^C35aAzRq$ieOsn&i8ULy;{|B_r7dJ{1g!mjan3Q04xwnNB8r*+`c*0gQ%SA zr|YZ>DgmMXfm*}a-(h$qF`)_q!jgz#<$h9BVi^7!5xp*|HS!94-B+*v8}L`ZE)OR} zMZEIDpH-F>?fw3{t9P7}TJ^b7RLrxSc&xr_?)QEq<^xX~@R5SYSol~yTjp;$AFEkL z4wOVuv{Bh{4EgA;XmvH8=cQ!MxC74DKj&L^^R`%QTjptasm|KH&V~|{u@|<5t6&eg zK%vq7Vopegmh7wN3#$!`nB=cAZ|5SEllB+OtMz%qlW<=ulZ8-yBq=Rvo0T*@o|rOD z$`TC$yT2KgR8_D)TGEeIw-(FG^Q)!6cVA?)&1q91<(el@lhPj?+5$?UD4U;cW~4pX z?)(xDf{GzDo%N6%%RckM6XSZ=755IHnsPyj* ztK1!lc$UwV@n@&{G*MFb*`h2eN!8zphHeLFCf=P}gLiq3 zEXTZB5Kes&t&bQM0lXE}itD4X+1Q3$RW&)@)(#Ysy=+R0Q#v}e5J5|5y}!;b>iV`H zT3m#il>kLQfvb$4Ewj_BrC^R_3pw`Py+WaP%RdzBbum4!td!l>Li;1}H?#a?C5E*^ z`oc8*ow7BlZoMmQIhR64mbO^SP~Cj0dVhy%-uA_K4xRG^6{`bPV$g1hJ_&X*BQF$m zMsGEy4)T!g#jNS+(DzVLEv`#IwItmiu4#w=)`sW&l$Yy)KXkmvn^w;MWF^q)WbXJe zpIu}^=8jcyQobjjuT%k+wxZqVSD7UDfpe9Viml_G7Ce&fBQJ-tBjx-Wal?`ioR*SH zw%+O_SoXjaZ~Xe{K32#>$g*`sT3%c`=?3&4kquqPt5S|HWzq7hVmr+z1=*JX;TJ*8}xX-xo8@P zAf3;-v&`!pvXzyUdge~8smyQ5ntC9>`v~omiB>bJ9X)Dr zdYfgN+H&b!VmnY!j%4GC^b3sC-k-bScKqnQp(yE{L{g&W4XUpLkE%d{ogY=>4UKOfhuYa0A*~47PjR z{EX45@#Xtu8QW9M+s*7OTjmNu)@JwB&{<-blG&najhEbPxwtG?VXj+th7YSyDo|l9 zxyNT`%ls@eiUq?^G$^#Uuzt>-f+nAM6mrxjZe+Ga&j%iSAr5`@`LTkE8@qE)CE3?k z7dd4U-h3*b!k=(ue0XQu5lvQ(Rmya;_v3f2aEJUwTGb~QDE|-D>Ns9D5;)xdvbZ=| z?o!vCQtc>PR_jK&(n=g*N?E>&m6?dF44LR-tj;q{WayBwHdxRjJYuDP#nF0 z-MncT;NO$N0 zOd0_{ny&*|>tBI08Dbd5<6w_fo1X)nyC03mq4qHmDwd{)hYCV8w7!N%5iOP%s}-~G ztIt)f+au)JW_FU#-xS$CMs2k@d0ldY%m;UWs6E~Y9zhTB7ON^(8d=T|eC{d~n|AU)q?Z#GrbhnIEm$lF;1*b`lk z=g{uDjH_QwvvRn()Fxu~SAb+Zv;3W(u>FUwMaKi!xi!LKb+ZWo}ZDj%*`{_@UI z*}|>z&r9Bq13JUv^~sGH{(3Rn5zE#ey!u2dqn{adnRuD8XrFq1J}dWOaxy5kyE*f5 z!G5fKLRVzzEvDoP#<;;1vl<741^-kbBsjRg;xol^(AGGb-mk69gb&7czAuQwE$<9t zY*W#8tNr!-_nTryrNCKnu~=0yz>n~xQ%#^BYZ28f{P#d)%pU4&$Oyo*Vn&Rkg&!Hn zmv^ypZ!wgt<^EoLspojhrwUoA*<&aV5LG${WSV;7Z%a~b4Cam}Bykqwc=Eb<-7tSS zRUST4ELdPB)ws+O-2N=PAK*oK@Vy|`nue_gKOvbT{}Z|j^^CCY4CvgFvmE(AhFyp&SREIJ^5TOm&40teuf7?U|X>IQ2wTvgzf< zWE~ewB4g_jMm%271^M@Y=R>xLIUvq=>3i#KW0|jaM|E%U?FTA{97DD%aiXk?a(<6S z%@0U7%Kw6X9&XQPrHr#hW`fEqG=W7hE;V-5S&{Xkxl}vPVM6IjOgRM40cDvH&X$CC zRY?&XJMYo`{0h^+MMCrEn;9cWWF?b)OYVAszCuPjH-H}%vzOdy2akQ67ip!?{_fj5 z>}CG$?qowR*Bl;DjhXhfExg2Z|BH9U*`}exU`u%k^glQj2;UX+zas{|wiGegZBXuZ zc*I1fRkS)izsmRuzc0`8r8sm+&bz1i&i1q`t0lGVr&>xQA6t%!hCEi0JMp`+RCcee z=}AWGC{9b-GBx6xh3IDTTeGG4qFm*|wGLaioNPHQ<}8czpxC5c!`Fl9UlXX9zT+8b z5jTBoQAIMPC{VlAYSWCBNc~;5T9rcHb}q@K8l^0vpFRLoYvf$IR;N^fjIXaBY&e1% z-&!Y0%*z(>wjPlQ0V&8dGjMnc(xL_zKXzOyhB>jhsBZMcUaquWhsvA-#hDPzKF*c* zQsOICE;aEm>ZRw)t*)+^p4S_}wn*^Ial3$?DyYhkTWD*N99?bZhQaA`ABBLhE(so2{Z8(=!Ii@3yF}iK`7!DgwZj7Vq0@2Ibg$wQjZ$h(2rlv|*V7Na%%S%F- zpX5u%`Hw9ll}@v_`Ep*}pWA&uD5$cgoP|ccQzzQr ziTcIz4+VdDyVEQrj}V!m$_|3sp~r|FqQVWbvWa%#HJYaMo06xW2*Fu~7x6Sre%lh+ z9rYff@KxF@!=cnm_@dgM`?>cC2Myi($0_3!ogOTM3>phhaxYItETOC7ZFTFMvHnAo zc{61UnR(eV9{LiCR5y5`Ev`n2e!ysfrl$Dot5Om<%jcb^6J+;7eJ^@Y8>}+hIdXTc zS(wdQ(m&o?5Z0EVzAl@>+RPl_Tz_o`(aex4bJCH4d*@&NAf4Gwh(<&wcW@bFY|dLQrxwv+Sh%52fmVpRvu>gV#s3MUXiQab*5kuCXbb3iVIQl0l#%WS@x)nO8s*=$4B&P)|R z+@#)}5^I)kHQ0MetYmb{rq=IyDWAM+@JFVwSEL+Zbe=K<2Y=aAH;%k>s+?MFrsbik zm}YZTiX2cmLvqnP-TW|Ztp^I$&=_0mTTv?t!tBnWk|E&V{#bR;Pc$|aBf5{kR@pbc z&)=@z6y6eG9@>VqewCHf#RbJNB^A%Fi@2F>W{<`@-dq&R?4(y>GCO;~=ZiO|k}h|r z8@5gMSMKMWbgHmvHS+Pix|-+H^DRr@lk#j8X4yPDDdiSU??}rk9RnHg+132)8qTaE9d-CMwyfnTTA~C zzFr-F#``MUGw^=%YTd~8bf}OAO^=Pzl!ZSP%d>*t;1|<#@_lt&c4q-P(&iK3@$c?~ z7X2yM4!mUXIehGVi0PzuUlwM3O8@aZ+vH20RdkCm7Q;#s3Ca%xK<=?5Z`o!hNoKY$ z?3ZyL%m+xNA_exTQk|@TLy3PwHideqgj1^Md}D8Fmscfe&5N4JISd=2 zL)~tH?%;jjX4CUIzezotWt%mpjq;-T(+~Rw^Fk{H-|Tept|Tdyb*Dj4_9|QtF3zfO zJ+Q-;OoiYrT}0*2XzHpVG1VPklyp?o8X&}-rJcUAtEv3+O+`K}r-i3>Y@ub*UTn(AC|2I`>#8D@v8VBof@#1BL0q;9TkB`b z48AT!0-}yy*)t|{!M)lsy|_@(eMd}K3@rS8UmiZmdddCX32@+Rtv>eGWhxi>bbZzz zb_I!lclD0*x_PmfUGb+2_Ea(5sTNnx@{;Uy4VB8z&S|WLVTn37mnRt8`~@2FwV%5H z4ps5rcvb{oaY;v>LctQpA-OAHQlM7El4GXgQ`J^hOl^Byv=yO zWc0Xv%#@QVmnCD#vie-@DRbiZbx{_xWa33#=Sy)z2U(2tm9U{7E{pYMz4LY3|4nVy zyHB*9-A94LLive5TV|(MOF;}{3kB8s^$~~mCwxAru`UyA>COk1 z?j1f9Io5K*i)^*dH_MzoHB}|`Y2s{|pJkkvn~Ifda@gZpL3H+XrmLE`Voua`O1BTG zh73sK*zGIerI#uuh$Za(@bdnnr`~!?IfS#k177avd8o>=f=0R(FA(*8hBa1cqR%`D#q z)76yA6f*RS7&!Sii^bV&;ahpFpZOR197@HNQ@kPm=JN;l4-T0DM!k=2cg8Oo4zKXJ zYzR4TR=(2u`U}~vGKY%G5;9EYax*Xa(CfwWB3E!dmsXBL*ISx?M4w$onHO34x2Wy( zqMe~q1FD{68{AgMZ__%vgHx@P^{=uSF-6lWpo!aKG0l|L@7>?#TAEjv#d5JK``+Sv z-&m?YthRh^UCs)>UYRedqsw`@EZLN%w4n7KxJI|YB7yX8e8!kYm7nABvT*_E{V$7) zlXA&y3n?RJ%W5{vl~zocDfNB{=#fI|hTH|p!6v5Qe7g_aKmO)BrR$@q)UD-dR5@~( zGA9iw>Batj$J&F#OVEN!nlY?Z9<*>w(f|^ka#m0#UHtLRG zHno`20`9m7mqD`>trx3oIW6YAlMmcw?{xvK^v7&HTTJ=vJqYIPDq$Do<(sYQ;>&C` z&8s|JP;nX0^5XBxujXXL1h<;k`Es)pZdPkD!fX9xa2B$pGV8X zHk8$_S3TXa{v$H`-p0OHzgv+&GA3}9 ziwLgdNx6HsmIIW&R_o20$zh4@=PBF+soVl~e*NKD5x4z6}5Vx5IzkFtHIC{u3R3F&*M+E*@cbY;bN6%>=4#Qku z?gq?Ac%TrmkUa)H`R*O4?q|fVS6^3WL0Q{nSh2{{{Pk?}w$R^%KreIm7GV5PrHwV5 z;`@J{=WkZk654Hl%d1r`PO-24(uzel#zud8n#7LDb=I7{Q9nZvev(I8`5iy(!F-9pTtr4dA6K4_+=^AjDkU7=`gHGo@(<&F)J?e8CRiC4;cL$7y;*$ z@&i$!2`eg}EdFqj&6#VQ+=hNoKG1o>tqS(cj()86hQ;#o{Awv~K-;SsB>WCPR6swI zGq}mh%QZ+3RnC+MJjfHVdWsG`a3>f(a#qu01xvM~7B<_;m&+nQEqU9#Xq=J7N--V6 z{GFft$XKcJ}OI@UCP_(|~a(E5T8or^@P0!9}5cZlb=Z1y&%s*cW# zm{|AwR1@mXj}!VTFx^;Dx@0hpw6?ibbT0ULsGt?l1IgY2W>q`Do)xc4Ha}<0e{L7Q z%3;Q^-(N1XIb+oppD3&RqMW1og9BjuvhH}JdCHt`E(-lU+Tz-{?d_A(>~fXu&Rxqq ztMBr0<~XQIm4oePMcLcm19h}Vip-0AwYz6;S|!eMl1=)N6VB9fD~Y4~i$CAlC+fY- zi-*8N#C^=y!4KHqUvnfMDI|C&kx=@#O4#`<9i(5kz2X~bE7o=>;Sy#MWlTI*Bi;wM##KvOwcFNPh{af@2K{s4MPZvln}>YrJSUZ|uGDSKA0YnjRT;WoY<0c{+IQcx}lvPPg~6u&dVXWUCw?o1;zw z-pZ+3ZZ5aJ4qN~6&CmJCRpmIo`&4<1?>@E&m?%1S$`M>9PCC@C(=Hl}Y-42d`gxTC zYF+5y;(G(>dolp+VNVg|0eur2tatrmZB7oFi_bRJYQH;dnIdo8;{x~gWhGzTUm|`{ z&h5;P@%@pPJlBu(Cm1r-S0$HVYj|iqsL>%Rw+U>`fa+E|>_7{;2vRd`Sm2unT>}r0tmjhlei?dSV**Cy2hque}N$f~*JkqXNBRNT3;x{hup{>04vY5Wf*XvcacrS|b1bV)hpOOa%Rh6_?^7=Wc zZ@D=uPlVJG?cSPj_?a`QPjxx4;fmFCZ$Q{ZB}azhV!k-fPKq`0CS`Zg|7t3o-Tz`v zP9b@{YPK`Vl~(h~kTdrH*A&#l#EX(mGK$9g?lZ>wv5)(_sl$)?0W;uM#UgNfq@Roq z^dwc;IMLH_lGGIqBY>BP4gFB`9$n_js^#*AIwK;2XJLVp9t4Oyry4=F&ni z>+{XBBv~%;ua`)vhuVV+d~&V^7b>lGk66wgX)Zy1Gl5erOOGzkH?Z4=kwh zv7*Wb*}_E{(q8(@j-r2Ep-rw5l3saxPR$8@-M3}@$1^fI9OGw;DlS}ZbM-Z3%0w`D z?BPIbsdQ*Gzs;uS^Br+j9a~&3oA;Nv)c`(GY@@)ZrI*>PJV4L{##DLbA@xK?Y~HKl zEhCY--rtTC1Pm#;@NvoRJYt#$#Rn>h+{JyAbmhW_w!SXkP=&U_T?q7i@vdOCzQ@1c z6w^lj5+C!ZN`8tHrKnt-HjAVo7Cp~)Hv=td*Gg5AP{VrrXy|Cw;!O3CeVpN0CVwCg1~n|eX2NDLdwT% zp^$ddy=q)_V-IA9WnLJx$EHT^onXN;Q?87cKo<2Oz7+E|m98E-he4B~yrwGg>3*sT z3NWNBoooUs^&6tBqrMQ@sF%-|SF&h-zL+xyc(FFAk^*Y;t7oSr3)(Nr>Tt#vR$Bp6 z%JFD-N;t}_oZk4M%3h8wMbqIGHI7Y+wulO^&e)>T81z6^o&x`n?QbzDh7iF0g?1P% zPnc>01D!`nkh6YHQcI_h@=#lkrx&87UHuzFLwe&%g`WyyH#}(uk#uKZ1C5L+8PRfa zxj0+QiT0eNvT{E`^8vqsI-Ju{OjzZu5kN- zvjck2;2tVS2|cXMW1lG%1Lfa)zEhPoy+Zbd+co>{s$`_a>}p+`TTFc#Owu-D#upuW zi6VadSg|&N?U8iOT&Y;+%3sH)>Ys|v4wMDH>{ot> z$je>6N0jGv$NM5^`z!mItA#`N6;Uq&btQ$;y$t(c`PA2G;83xFq3FMrSMT7-KaUgx zi|*A%d3<*`GfJ|}ijvV(h^l+35OX!q4dp*O-#4?>{w87WAnE!BSUTh$j_$yh0cb|J zc~QRW9Xw4onUadmtAv3L*Nqnw;E_l7NWJR^lvCK}7BX+iF0GSSYaRy4yjCg^<`CK~ z^BHT=j(=Wc%c(HH-EP|Oc^hU0$-#1=Sh2vu*^6?n7t4&h`^hc4rBZ0q@dNI1wLm0!)LZyNF4Z;R#GW~X_Y6=!pL?h=*mhGVVa z^Zt6XEG3WZWHY06V;F(yaTU-DsIPon?L1;=j^PG>|F84>&5BQxe!jd~<-+pu!;XRT zqaVxff&FH){&~LrS$!HnPigDbjrEDo%2f(@Y%!*~Pu#iY-=kCQfxj!b57A9X`YCtd zF1n+0X{hgN=~T&u^LfdZmMijKQFjl_t@YLRGS6%|E#|zI-{FOxs@&wZ4EFP@Oqv7T ztt1b;O{%WF{k|OIiw#v^`N>s$q{_93pF-19OxPi`EB}j9c9!K#S}k~El*)k>eaEy; zYH6`?0jHmlUtPwRa)aHSSl!%pb@ArWQ%2bAj{b(s+xd>HBsNp4gRP7Xs(67zgMzpfIGxKe;g{rXLFyt&Pzuq zujy7nLGQ?aDAwy@dR`QjDit?xEwD?g_Wtkluul7Ie5H(b-QO?XmdA=+JRDswsvF+0 zN8HQB(MLy4sQ3`Rmg9N8Sr&Xn_9LjrX6rJhRv)=Ay&Z{wH)&n{JHVBIMn_MSs|b%J zmt1W_Nr}I0dzyb-p5Rk2exS;bWypSy6~>O@A#NETSVeT&+&(}Za^x~vaPMl_! zTgPk~ALhr~`oP_WMt5w{f?}Hri*GZ3=z5CHC3KoU@~4KkDxDY*JCft zp0XuFUy^5PT{!VWm@y_kAKD-<7Pu$Agm=|tgoc#cdSTtPESb$XAfP^Pyp0m?~q+zwe3`eRVa@ zr{~*4A0I8cePuS!PO|!{HLi^FDV|-;&-QuXUoVTZ;xwyBSrqb(J$|?2yAs@fZ4cm@ zUT2>#-kdI)625qQo#7JsYF6?C{#aZUvFBk79*cR&4^`ZIF+n-Gj$rp-El7Kj-M!h5 zDSHzGi~!wBzj<=Nj4M>YqujUu{A#^8&rXUpxdM4bZbW|ldb65V_i}dUWCG24{&V&= zTmD?ktJE)U4IESqfcH2fw|j0@o{S5Aj@PPMar^qniIAgG0^v&Oj}$w9V?<$nS5&u- z0vj5>&X*_I{^ZFy8i>+Vqq{v#xZh^WH^p2q7`aYRMh8_qwSuhy zoFY~CK*90@+Q%a7C&EAcOd-M}D91xaYR86 zSI4*|T$D~^$)st$4#O!_T{V=5v_r;JyEo(z6O(6sHUV~i)H~W&GJ}{=5VY2xisf0s zJG3sQ=j40lW?vtgX^;26s63gS1YWrdp=nxkj{J?eDlI*jNG?6FdJBtG#r8STR6?gr z>-HCU>XE3Qc&z)WVnKnj@XyO1T`8jyfU1_CIGG0*)fKrtQfgSFmifHMF3%V2P1;@* zZ7OdAESCAh%lo_Z2NN8Wu%(I(=gnpJE zu>0UC)9BPRn%@saE*=z55GvndLvdbL!Kt536EJtaN`;IoZD1a+0cRnY-l6^JbXBR3 zwd+;rx<1cWo7wA);FSJVE-sU*gkP7&I=1hw-tEl&bc0*Wt~ig8<9vOdvn%s;wwjjH zM2;sb#F_MR3&InXB#iDkqKa#3EJgc^zEmlwKt&>n5?+;N+pu0udn)bi-$MDrG%t3( zuTrx$CJ)-J^|3&IC0?juNX61yaX-&5^51WGS1Wg} zrK*#n>1nNxx=a6_WnlhGH`4!vY;ZVUm2^}xlk%%#TlGmn1gUb5ofeEEsBCv2>Dexi z>~dAgSMw@?skraMi|%~!Zk=3gX6xeZVp&~U=5osQqv$Po139qptbr~nASZsQ-J0CY z-uo7ISdEY>hzeJKL2La+sI^~+_m_W7UjFd@0h?i1w7)l22&jLDSD~wHfrb;Usrz~e%WA(D2x}KM(#%`pT-JZ8eWZgv zHLLW+=qrgHZ}2Ym(9cY4A(GIN_S;2qR|yqJfTEnfTxN6Tdb6!J1VgQ*9J(SmK$iQ? z#fF4DdFeByTVrn!K|0xA;wBO;U)*sI7__R5C>e=t#B*RVJtac^FK=NE*8W8nv#QGa z04dh9g+jHW%mx`-F)dH9rzJBl8(9|k+T|W2#02QyeTiwbr*qhShly>fk{|OK2~y!A zys8NmEjq?q>9TR-%@~dgdFTAMaR4G}J&9RRa2Svlq?rj9*09mcl zWpQ%SdA9+ez+1lRvMBc;HXVd7J^fQl`Cdzl{-Ru_tb8BB4S$FU?jEXwWf~fkA6DD9 ztQRF6aB39hi%QXPz9?J9Dp>agf~L_+tg6ZwgLo?TGRUeMX$`qipKwi8h#TS%AGxm* zI0!>CYuID$y$$k~YUPaprk(9hkwNJf*N>|_%axnk+r1x`zS|0r^jV!9otr@1T_)c= zTBt7SXe?Iy2rW9JfA4;)d7Cd+*}5RX3D$#cVNFzJa7L#vm3WFP`};gH>xTpGZh4sH zi|rko86ECrQv>y)9NWgIvxSUe#EU%jP;u(f-jEu3qMk3_6`Wi5?>9y5|K&xMd+3c% zAG+g}Zj!C4<`35Zpb8km4^^r((yjwXjuiDaC(g;gGZl`l@o&35bUdAIiW=88AG#YNnI;K?fEuk5|Anq!8 zH?y~yHYY|%(EY>(Ppq_@J~ld){;OepdA@b+D_8w$y&cuv$MdUoMr!+UnV&2+?{;>X zD&%HLuDE))oyrw4=@;|zn^n1>vUQg4D;6(-H+BvDx)krZgkrQnke^&11LavKo0?3S{DSgKk$XZoIYw0$9 zJbP2J;hHb3NnFa?to#Av+~x2Rg~tlf&4D+nm#d)UQlR^~4uh(Xq~T7pWwJ z5?fTMg6gu}nl0w}a^ZQrejB29?A%o)&pg z(XE$j9Vu(_8JYGJZ?kzs&-0?=tLD3pOZq6!?&1pJi#Pm9#DmIIm2}7O*d>V>t&4Ud z!f7eJ*7psy=MYhjZZlI;RkB|r*|I$LUR3osRU1J2h-jIoeCGY8oE9&IrFEhSBVpEG zHd1e*E~5PY=mFxpRaw$tlM-F#%hyYiXP`>`)-A4DFqYq5&6wkUc5#`{h!Eh%vHqdA z7!-Y%MldU;D(Ac5zNl$Kc%a=;n-l}tX4;J1@}u>AjK~oV64N(2?rAj?Dml#w_c{-2)0h4?a`n7Q>f-?Bmw7tA0j&F6%|?%@psAd3d@h znKFOFNmq(yjYiqrg^c>PRfb)V5Fx^ z%5SyYQp4FiuhM)rwQIlbJ;vQDa8R!>Z4_~wXNJ@pGlPmt7z3z}UkV}}V`W)S-sxMdC z5zQX{7Y8^|2t>Z;Olh;ygPk$c4Q<&lBJ#PRF~D zDnGFH;xtUqq7p1zXjL9+_Zc+a&iZl`GrI+FPBhIs0aW+h9Fvqa#kR?n?rOVDF6y!c zUsm;%EvwH)RUs?bhMB!Kb(1OM z&QxwGh6*ZfG_I=9eAGT3_(`y-a+<-DI;)NvD_o9eq-h+}V~be7P3GXBVi1OYD_j|^ z@{7~#l4>Njrmn?lUNYMYXR=Y#r;zU3VqP6|$@krUr>lDJ^o$CeYC`H5ynBv3!=^KJ zEqJSPPa?|@btJJXb)M?RujZ73h1aX(!UlH)Hc_jBw1NE|enUpQ9y>u10TdzLi&1*W z&#u}5f6V9QpOtm&yTxp_|3o@EFD0UF9@p~pQ}vW9thmIAkjgCIm2(O-ryP;0wH(B{ zT3^p?m-1daQwyjh<#2p4C*A^ltk}TNT_W{&PEhZaIwH!4Jop5j_Z-ir*{nEY zOn=AIb0Wsn^?KHGP|@MPyD}8jME6^gwsoEpF2ziPC+jbzc;i@SZN~iS4asHQOn28! zc0Fo7CRf4=>z#0of-3fWiN>lsJ`GPF-;@Nj%@0z~EmPDHlZbqkkGDV!>q}}Sll$Fb znZ4sYW~b#iOINO&gxz#>o%sY)I>PrhbP;|1O|i~a8GCK?1I2*$(>>qc-K}}L%iP1+ zthXohAO7mc;|EVW7AErgP-R9k9ADAy_&v)7JRHsGIu!Lb@`LJ^CHIO?0;etSXx=dNVllhoZWwySvR98@B#)fc-8_|31Eu<7s+SJ|xJ_U#h@58&QEi!x(gPBHqqeM&$T(?=Qt*m50a2x>cnTO?*K3)X zvo7Pd_x8}fjx1e@G89~0?@zI%}25x$&5kF#ZzL=aJ1>C30z(_;E2U$0jc;an7@3{=Vrr{saNZ4g<> zbEoG!_P5-WTS9eRonzsMQtW?5j?N-AXDkWNig{U3OiBK+a{r>;$4jI8NPA<$P^3K7 zl1|k9(@Q)+S^R%=E^pR}$sahm>%CHRV#`DL`JE|$^Asyb)hN&@w0`r|;nDr$ukIgx z#&K2g-UUEy-{*@rk9g~X!w4?b!2sQB!cV$h%1!?kYFTVcJ0bnd$fxV`W$}*FB6?++4;0MIR&MudV-K!+1%;mu* zR$aF2zSoqroOxaOa-w_knPS-jGKrJ&6gV%|i&@#C`AT^_vbA0?Mf-j3?WWSQJI){a z5b2~TBx_cNT;#gQx-P450gUkA}`W`c|BjC%;#YH|VxMhOqf8^HsqH=9V zrb-xVtcHX6%SCxoXTqh2jy2a3a4FH$NG zl!b7{6zu!woB3I`t~An^hqEu2#aR^;!n^h3EB#g8Te|=!K2KqzY{8fDu~G#;rA#4D z#-f(MwvW%*dw@L2VeS$ZG~K&ZVG58WOSaM4=6~dv0lIK8P|cu=yzi97p$50`@al_sXL`y;`lAvE7!{ zavtq4wuhfey9Vq4N4tZeAbjePjrod*d2)!&Q&g$vfn#>R&)=@z6ug(c zQ>K*L?QC!A-2d!qwW@c(>2j0L*Hqi$z=w)%Ox>zc1rdEQCruJWRKBp%a<8W6c^z0V zEfDX14K!1ITf_aE_BV!2JJ=hOQ{?UI44Yxk2H>;XW6 zF0R^V%k1=ODX1%-WwUwCoSF3l!a@5=SMHTVR|4V@xZLKF*{pi(exQCSs#K?lOj17; zC}ftdvkg(LZi+15SMMPt{-I*9!B}Q9v-$&%{1VYE;IZ27i7a_zIdTanCVeZBg@S~Z zw4XU`1w%0qL;q?XP(4g#D)*8>`>BHK0H3E`?Pf}<|8_36JVIRms!pM)pD(Z86>Zll z8jj|!XmvH;=7X)7X>oE&41ZjnxoU-q0$D@V@xy96bnC^k;8h*W7qzx;QBDUtmHPrg zO^lorL%wV(r#5GP*B&nodZb{C4F(Ks%5frcH;u}wJPv4H303$&Fgc&SIWs-d-j2X8 zKU6U>V1Dv4o0a0|-lxghq2T+xSgn{EtIsvVo}W=Ba+=Re@veAXOtU$46nA@Z6x|)& zT#lv6){pM3@zj@O<9AO~88Qv`3Ekk^2Oh73f2@$*o#ZbCzWt_O!Zb(Sd+(C|^J_z#Xnk?HcPMVlM?6TrsA+;0K+`{9JRX%6DcXeKv2R z$kzGRa#3I0^ax@<{WhDP&v{eq^Tp+o&FALjg8Ktc;fbD-*F93*@(Xzk-<_itgsjVg z1MQ8_h9fbBg59Ir9%O71SO{Jpr z=t4s~D~NwpeH&PN>Ix-E?=FaDK@wM(r3`Qpv#qIp?@I}t*y z-bS87x}m$V3O#`kw7V5ol`_|{$g4_L;bb49YydOTm##Tf0fM| zTGq#2c4y%0y}K=Ey(_k2ckV*45HFg; z%2^=fk#uuwmA;<}=#>kU5&a}odw;8RD(>$p+$WGKc0o5ZofK71EjRfkL!$IEqmjZL zI?BW`jI$4&^Z?{srD4EODK{WRaXw#?iW{QqBxzTn{c^TCjwzdWs~S~@(VVKZNrn?C zF&!M|OX2Y7%TIxxZ{XBayN#1sf3`7Xh6W(_K~1V~4+oyxey(VH?0#+1bz-Q|cg&*%QsB*XjJ}ErVcd4`J8CxiL z5;&en$|U?`y!VqPtYYut_2#xodB0efE3;%1XZbvzx4B@WI?Ab1k%8@(QpYiePV`S9 zj#?TfEO+@%HI)`aQRe5bh8%Y;k3j3w*nsDSFVhg z1R42cozFK+;D~XKqgPk+^3Bz~O%+ex7uWoFU$Eg_mGO;+l$gb9jlv zlf()=ayq~gw6B=MDhS@0+Q?mw|7P+yU#8Nh4-|V5{3XJdOW==!y~WTaCd zJ}-|2^ToVUId~9@5B+$RRl7aV1<{&5_uB;LTUT0N%5Ar~XH*LuE zF2OQzsOUHyB}BH|T$Xj`encWwqBwM!UO&_mHsvs8{s@&e37&D*+TNlZ;j_i-d|4&@ z@e(sZr&ILK+Wl?gd0lT``lH;nDE zqYl1CmPAz6-jEW_;#VDe!M^;S zl-#+pK)7{dp@$vZ)3<&;aNr1{LvYe*v0oi{%&G6md)Q4}rPrJu4;AYYjMvJ%X*~&f z`e_P5bNw7C&L)7{nHb<>dxwlMM^arIX*jVu2?PD`hC>wz<1QR{kA*g2fo`9o*%5ld zd|R?orkmT-{@Y?o@>Y2gSDqpsp*;HCS1Fv@qw-Ap^?H`S+tg{s9H;MmqM%eQr zA9W*wt?iAr;<0X(BckD9N>`cwSY;}~bqS;#qFbq?ACC9kqLjl}pTIBX z=R~nokFugtxJ9#j>T)r=x>zjB(PAp~Vn9|oKcKTj`}?bnHduWPlQt(lo|W4k$*RRn z@;NzyvO=Pt-r8Qr@l{qbYR<2gDXGrVb&;oN7S%-@&@w7N4<%9Fju(C4@70MfA7#6X;~gE7CSCqGJaov4v&3h z+ESVtu{*2^ifPmf>bB$2B&PJW!`<5u<3o>BHy+q>2Hvapv0^7_)KV4f1w8t(S`S1{ zzY@dkKEGO>E#^Kl7^=*NO?LOPPV}+g9Gi(kUP_XLyyO#v)VD{tHsb-L&DRUPd%0!j zP4yI1N+aDg%asPji)W0N1o{tg;?(FR&5X9Hd~j3l27Gj-7|GQ*_kO*Y?Uv*=1$_01 zPAvV*7#8ar-DuZDcRh*t^}}Vc-mG_(?El_ZvHwIX*nQma&a-Di1@`IekLTG*mhX0h z>D8>5pDv3j&1Ub%7I3J&HY}8=+xdUH*xTz)^I7(~$Y-ZT;f}$3awkxQ_~43GbW%mj z1JE|jmh!9}L$bkijZj@VjHhi-?fTfx7^)2cmk{-1E`YNbdRp%Kf&P$IYkeM$Am31e z_K=uHKRDGc3&?lbvS76%eq6*5l2{tAe7pKkWSND%T<8&_0O>z47YG_aD z5AU*uRR0^oIBLQa_dmDhWz|KMc;XaYI`|54f0>Fa{j3*T_G1MdOZqJoZO_9(*}e%v zX|)5CYk7U1Pnm(=*B(s9Q>xApJ%AbnXRfuIEy^WP0V&p~PJ4wM5b0ous|Qz-~>PiDY5Pqekqo-+5TviUoTMeybj z^i*34!HAti%piEA%ByL}6n9zR6|ssJ+399?9C}-9`>UKz-1P2Mx|#M{43z`A>tx2X zpgQ%P7Z=&jn>um7FI$a6uCI4Ve23%DPkA}Myl)D*gl$FgG;o~9ZAk4S=cm}pgBWA6 zKXHAqc<9a_x|zD*P$6R)l8ly@xymybGQsQ@r&)C)8pma@GfW=B^6Te|<<&eFd&iXu zX?xwOq3wy+BIh(+s-h>J9r22k%j@dgCeU*g@+YLsq63Sr>hN_z-eZ3rvVPKBf@iLh zYUz$&7ncPa67jc&fkb7?`S7!CiQF3G@>YwBlFy$MGv?Y(3=u>>r5dQ!$B%YErSx-i zY((^ve4^rQ*!Fi-XQV#fWsi@q<{|0K;+N;Qz*jLMd6}_dIUGSPYFQV&{ Tvc~_9{QLg_!l&7H4#E!ra5CG5 literal 0 HcmV?d00001 diff --git a/data_application/88soils/88soils_genus_table.txt b/data_application/88soils/88soils_genus_table.txt new file mode 100644 index 0000000..df6c292 --- /dev/null +++ b/data_application/88soils/88soils_genus_table.txt @@ -0,0 +1,90 @@ + k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Paenibacillaceae;g__Paenibacillus;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__muralis k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Novosphingobium;s__ k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Nocardioidaceae;g__Nocardioides;s__ k__Bacteria;p__Bacteroidetes;c__Flavobacteriia;o__Flavobacteriales;f__Flavobacteriaceae;g__Flavobacterium;s__ k__Bacteria;p__Firmicutes;c__Clostridia;o__Clostridiales;f__Peptococcaceae;g__Desulfotomaculum;s__ k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__Candidatus Koribacter;s__ k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__Methylibium;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Paenibacillaceae;g__Paenibacillus;s__chondroitinus k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodobacterales;f__Rhodobacteraceae;g__Rubellimicrobium;s__ k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__Candidatus Koribacter;s__ k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Xanthomonadaceae;g__Dyella;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Microbacteriaceae;g__Agromyces;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__Magnetospirillum;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Rhodobiaceae;g__Afifella;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Streptomycetaceae;g__Streptomyces;s__ k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__Sediminibacterium;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Nocardioidaceae;g__Friedmanniella;s__ k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Bdellovibrionales;f__Bdellovibrionaceae;g__Bdellovibrio;s__ k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Sinobacteraceae;g__Steroidobacter;s__ k__Bacteria;p__[Thermi];c__Deinococci;o__Deinococcales;f__Deinococcaceae;g__Deinococcus;s__ k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__Leptothrix;s__ k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__Polaromonas;s__ k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__Adhaeribacter;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Caulobacterales;f__Caulobacteraceae;g__Phenylobacterium;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Mycobacteriaceae;g__Mycobacterium;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Paenibacillaceae;g__Paenibacillus;s__ k__Bacteria;p__Actinobacteria;c__Rubrobacteria;o__Rubrobacterales;f__Rubrobacteraceae;g__Rubrobacter;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Sphingomonas;s__ k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__Candidatus Koribacter;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Pedomicrobium;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Pedomicrobium;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Micromonosporaceae;g__Couchioplanes;s__caeruleus k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Mycobacteriaceae;g__Mycobacterium;s__vaccae k__Bacteria;p__Firmicutes;c__Bacilli;o__Lactobacillales;f__Streptococcaceae;g__Lactococcus;s__ k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Xanthomonadaceae;g__Dokdonella;s__ k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__[Entotheonellales];f__[Entotheonellaceae];g__Candidatus Entotheonella;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Bdellovibrionales;f__Bdellovibrionaceae;g__Bdellovibrio;s__ k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rickettsiales;f__mitochondria;g__Diplazium;s__pycnocarpon k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Pseudomonadales;f__Moraxellaceae;g__Acinetobacter;s__ k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__Rubrivivax;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Streptomycetaceae;g__Streptomyces;s__ k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__Flavisolibacter;s__ k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__Candidatus Koribacter;s__versatilis k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Sphingobium;s__ k__Bacteria;p__Nitrospirae;c__Nitrospira;o__Nitrospirales;f__[Thermodesulfovibrionaceae];g__GOUTA19;s__ k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Oxalobacteraceae;g__Herminiimonas;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Turicibacterales;f__Turicibacteraceae;g__Turicibacter;s__ k__Bacteria;p__Firmicutes;c__Clostridia;o__Clostridiales;f__Clostridiaceae;g__Clostridium;s__ k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Bdellovibrionales;f__Bdellovibrionaceae;g__Bdellovibrio;s__bacteriovorus k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Beijerinckiaceae;g__Beijerinckia;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Planococcaceae;g__Sporosarcina;s__ginsengi k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Kineosporiaceae;g__Kineosporia;s__ k__Bacteria;p__Verrucomicrobia;c__[Spartobacteria];o__[Chthoniobacterales];f__[Chthoniobacteraceae];g__DA101;s__ k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__Candidatus Koribacter;s__ k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Legionellales;f__Coxiellaceae;g__Aquicella;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Micromonosporaceae;g__Couchioplanes;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Streptomycetaceae;g__Streptomyces;s__rubrolavendulae k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Micromonosporaceae;g__Actinoplanes;s__toevensis k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Rhizobiaceae;g__Sinorhizobium;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Microbacteriaceae;g__Salinibacterium;s__ k__Bacteria;p__Verrucomicrobia;c__Opitutae;o__Opitutales;f__Opitutaceae;g__Opitutus;s__ k__Bacteria;p__Verrucomicrobia;c__[Spartobacteria];o__[Chthoniobacterales];f__[Chthoniobacteraceae];g__DA101;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Microbacteriaceae;g__Microbacterium;s__ k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__Variovorax;s__paradoxus k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Brucellaceae;g__Ochrobactrum;s__ k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__Segetibacter;s__ k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Bdellovibrionales;f__Bdellovibrionaceae;g__Bdellovibrio;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Rhizobiaceae;g__Rhizobium;s__leguminosarum k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Novosphingobium;s__ k__Bacteria;p__Firmicutes;c__Clostridia;o__Clostridiales;f__Clostridiaceae;g__Clostridium;s__bowmanii k__Bacteria;p__Gemmatimonadetes;c__Gemmatimonadetes;o__Gemmatimonadales;f__Gemmatimonadaceae;g__Gemmatimonas;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Kaistobacter;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Oxalobacteraceae;g__Janthinobacterium;s__ k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Desulfuromonadales;f__Geobacteraceae;g__Geobacter;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Nocardioidaceae;g__Friedmanniella;s__ k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Mycobacteriaceae;g__Mycobacterium;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Kaistobacter;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Hyphomicrobium;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Methylocystaceae;g__Methylosinus;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Mycobacteriaceae;g__Mycobacterium;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Devosia;s__ k__Bacteria;p__Nitrospirae;c__Nitrospira;o__Nitrospirales;f__Nitrospiraceae;g__Nitrospira;s__ k__Bacteria;p__Firmicutes;c__Clostridia;o__Clostridiales;f__Peptostreptococcaceae;g__Clostridium;s__ruminantium k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Sphingomonas;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__foraminis k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__Myxococcaceae;g__Anaeromyxobacter;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Novosphingobium;s__ k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Paenibacillaceae;g__Brevibacillus;s__laterosporus k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Actinosynnemataceae;g__Lentzea;s__violacea k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ k__Bacteria;p__Verrucomicrobia;c__[Spartobacteria];o__[Chthoniobacterales];f__[Chthoniobacteraceae];g__DA101;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Caulobacterales;f__Caulobacteraceae;g__Phenylobacterium;s__ k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Enterobacteriales;f__Enterobacteriaceae;g__Dickeya;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Erythrobacteraceae;g__Erythromicrobium;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Paenibacillaceae;g__Paenibacillus;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Lactobacillales;f__Streptococcaceae;g__Streptococcus;s__ k__Bacteria;p__Bacteroidetes;c__Bacteroidia;o__Bacteroidales;f__Porphyromonadaceae;g__Paludibacter;s__ k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Streptomycetaceae;g__Streptomyces;s__triangulatus k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__Flavisolibacter;s__ k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__Candidatus Koribacter;s__ k__Bacteria;p__Verrucomicrobia;c__[Spartobacteria];o__[Chthoniobacterales];f__[Chthoniobacteraceae];g__DA101;s__ k__Bacteria;p__Bacteroidetes;c__Flavobacteriia;o__Flavobacteriales;f__Flavobacteriaceae;g__Flavobacterium;s__ k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Oxalobacteraceae;g__Ralstonia;s__ k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Nitrosomonadales;f__Nitrosomonadaceae;g__Nitrosomonas;s__oligotropha k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Sphingomonas;s__ k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Pasteurellales;f__Pasteurellaceae;g__Haemophilus;s__parainfluenzae k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Nocardioidaceae;g__Aeromicrobium;s__ k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Legionellales;f__Legionellaceae;g__Legionella;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Lactobacillales;f__Streptococcaceae;g__Streptococcus;s__ k__Bacteria;p__Tenericutes;c__Mollicutes;o__Anaeroplasmatales;f__Anaeroplasmataceae;g__Asteroleplasma;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Pseudomonadales;f__Moraxellaceae;g__Acinetobacter;s__rhizosphaerae k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Streptomycetaceae;g__Streptomyces;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodobacterales;f__Rhodobacteraceae;g__Rubellimicrobium;s__ k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__Adhaeribacter;s__ k__Bacteria;p__Bacteroidetes;c__Flavobacteriia;o__Flavobacteriales;f__Flavobacteriaceae;g__Flavobacterium;s__ k__Bacteria;p__Actinobacteria;c__Acidimicrobiia;o__Acidimicrobiales;f__Iamiaceae;g__Iamia;s__ k__Bacteria;p__Actinobacteria;c__Rubrobacteria;o__Rubrobacterales;f__Rubrobacteraceae;g__Rubrobacter;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Bradyrhizobiaceae;g__Bradyrhizobium;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Sphingomonas;s__wittichii k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Enterobacteriales;f__Enterobacteriaceae;g__Klebsiella;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Micromonosporaceae;g__Catellatospora;s__ k__Bacteria;p__[Thermi];c__Deinococci;o__Deinococcales;f__Deinococcaceae;g__Deinococcus;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Microbacteriaceae;g__Salinibacterium;s__ k__Bacteria;p__Firmicutes;c__Clostridia;o__Clostridiales;f__Clostridiaceae;g__Clostridium;s__ k__Bacteria;p__Bacteroidetes;c__Flavobacteriia;o__Flavobacteriales;f__Flavobacteriaceae;g__Flavobacterium;s__ k__Bacteria;p__Actinobacteria;c__Rubrobacteria;o__Rubrobacterales;f__Rubrobacteraceae;g__Rubrobacter;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Paenibacillaceae;g__Paenibacillus;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Nocardiaceae;g__Rhodococcus;s__ k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__Flavisolibacter;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Mycobacteriaceae;g__Mycobacterium;s__ k__Bacteria;p__Bacteroidetes;c__Flavobacteriia;o__Flavobacteriales;f__Flavobacteriaceae;g__Flavobacterium;s__ k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Desulfuromonadales;f__Geobacteraceae;g__Geobacter;s__ k__Bacteria;p__Verrucomicrobia;c__[Spartobacteria];o__[Chthoniobacterales];f__[Chthoniobacteraceae];g__DA101;s__ k__Bacteria;p__Firmicutes;c__Clostridia;o__Clostridiales;f__Veillonellaceae;g__Pelosinus;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__Telmatospirillum;s__siberiense k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__Dyadobacter;s__ k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Pseudomonadales;f__Moraxellaceae;g__Acinetobacter;s__ k__Bacteria;p__Verrucomicrobia;c__[Spartobacteria];o__[Chthoniobacterales];f__[Chthoniobacteraceae];g__DA101;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Geodermatophilaceae;g__Geodermatophilus;s__ k__Bacteria;p__Verrucomicrobia;c__[Spartobacteria];o__[Chthoniobacterales];f__[Chthoniobacteraceae];g__DA101;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Bradyrhizobiaceae;g__Bradyrhizobium;s__ k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Bdellovibrionales;f__Bdellovibrionaceae;g__Bdellovibrio;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Caulobacterales;f__Caulobacteraceae;g__Asticcacaulis;s__biprosthecium k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Rhodocyclales;f__Rhodocyclaceae;g__Thauera;s__ k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Oxalobacteraceae;g__Cupriavidus;s__ k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__Candidatus Koribacter;s__ k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__Flavihumibacter;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Micrococcaceae;g__Microbispora;s__rosea k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Nocardioidaceae;g__Aeromicrobium;s__ k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Legionellales;f__Coxiellaceae;g__Aquicella;s__ k__Bacteria;p__Verrucomicrobia;c__[Spartobacteria];o__[Chthoniobacterales];f__[Chthoniobacteraceae];g__DA101;s__ k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__Candidatus Koribacter;s__ k__Bacteria;p__Verrucomicrobia;c__[Spartobacteria];o__[Chthoniobacterales];f__[Chthoniobacteraceae];g__DA101;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__muralis k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Paenibacillaceae;g__Paenibacillus;s__lautus k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ k__Bacteria;p__Verrucomicrobia;c__Verrucomicrobiae;o__Verrucomicrobiales;f__Verrucomicrobiaceae;g__Luteolibacter;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Methylobacteriaceae;g__Methylobacterium;s__ k__Bacteria;p__Bacteroidetes;c__Sphingobacteriia;o__Sphingobacteriales;f__Sphingobacteriaceae;g__Mucilaginibacter;s__kameinonensis k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Pedomicrobium;s__ k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Streptosporangiaceae;g__Streptosporangium;s__pseudovulgare k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Micromonosporaceae;g__Catellatospora;s__ k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Burkholderiaceae;g__Lautropia;s__ k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Oxalobacteraceae;g__Janthinobacterium;s__ k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Pasteurellales;f__Pasteurellaceae;g__Aggregatibacter;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__Telmatospirillum;s__ k__Bacteria;p__Nitrospirae;c__Nitrospira;o__Nitrospirales;f__Nitrospiraceae;g__Nitrospira;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__Candidatus Koribacter;s__ k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Sphingomonas;s__ k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__Hymenobacter;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Burkholderiaceae;g__Salinispora;s__ k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Desulfuromonadales;f__Geobacteraceae;g__Geobacter;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Novosphingobium;s__ k__Bacteria;p__Bacteroidetes;c__Flavobacteriia;o__Flavobacteriales;f__[Weeksellaceae];g__Chryseobacterium;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Kaistobacter;s__ k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Burkholderiaceae;g__Salinispora;s__tropica k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Hyphomicrobium;s__ k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__Hymenobacter;s__ k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Gallionellales;f__Gallionellaceae;g__Gallionella;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Intrasporangiaceae;g__Terracoccus;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Pseudonocardiaceae;g__Amycolatopsis;s__ k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__Segetibacter;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Microbacteriaceae;g__Microbacterium;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Kaistobacter;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Sphingomonas;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Microbacteriaceae;g__Agromyces;s__ k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__Flavisolibacter;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__ k__Bacteria;p__Actinobacteria;c__Rubrobacteria;o__Rubrobacterales;f__Rubrobacteraceae;g__Rubrobacter;s__ k__Bacteria;p__Armatimonadetes;c__[Fimbriimonadia];o__[Fimbriimonadales];f__[Fimbriimonadaceae];g__Fimbriimonas;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Rhizobiaceae;g__Agrobacterium;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Sphingobium;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Sphingomonas;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Nocardioidaceae;g__Aeromicrobium;s__ k__Bacteria;p__Firmicutes;c__Clostridia;o__Clostridiales;f__Clostridiaceae;g__Clostridium;s__ k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__Rhodocytophaga;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Streptomycetaceae;g__Streptomyces;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Novosphingobium;s__ k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__Limnohabitans;s__ k__Bacteria;p__Bacteroidetes;c__Flavobacteriia;o__Flavobacteriales;f__Flavobacteriaceae;g__Flavobacterium;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Devosia;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__humi k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Streptosporangiaceae;g__Streptosporangium;s__ k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Desulfuromonadales;f__Geobacteraceae;g__Geobacter;s__ k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Legionellales;f__Legionellaceae;g__Legionella;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Caulobacterales;f__Caulobacteraceae;g__Phenylobacterium;s__ k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Neisseriales;f__Neisseriaceae;g__Pseudogulbenkiania;s__subflava k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Streptomycetaceae;g__Streptomyces;s__ k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Bdellovibrionales;f__Bdellovibrionaceae;g__Bdellovibrio;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__ k__Bacteria;p__Bacteroidetes;c__Bacteroidia;o__Bacteroidales;f__Porphyromonadaceae;g__Porphyromonas;s__ k__Bacteria;p__Firmicutes;c__Clostridia;o__Clostridiales;f__Clostridiaceae;g__Clostridium;s__ k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__Dyadobacter;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Mycobacteriaceae;g__Mycobacterium;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Phyllobacteriaceae;g__Mesorhizobium;s__huakuii k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Bdellovibrionales;f__Bdellovibrionaceae;g__Bdellovibrio;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Sphingobium;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Streptomycetaceae;g__Streptomyces;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Streptomycetaceae;g__Streptomyces;s__scabrisporus k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__flexus k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__Flavisolibacter;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Devosia;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Streptomycetaceae;g__Kitasatospora;s__ k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__Methylibium;s__ k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__Segetibacter;s__ k__Bacteria;p__Bacteroidetes;c__Flavobacteriia;o__Flavobacteriales;f__Flavobacteriaceae;g__Flavobacterium;s__columnare k__Bacteria;p__Firmicutes;c__Clostridia;o__Clostridiales;f__Peptococcaceae;g__Desulfosporosinus;s__meridiei k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Sphingomonas;s__ k__Bacteria;p__Verrucomicrobia;c__[Spartobacteria];o__[Chthoniobacterales];f__[Chthoniobacteraceae];g__Candidatus Xiphinematobacter;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Micromonosporaceae;g__Dactylosporangium;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Streptomycetaceae;g__Streptomyces;s__aculeolatus k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Bradyrhizobiaceae;g__Nitrobacter;s__ k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__Methylibium;s__ k__Bacteria;p__Bacteroidetes;c__Flavobacteriia;o__Flavobacteriales;f__Flavobacteriaceae;g__Flavobacterium;s__ k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__ k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__Haliangiaceae;g__Haliangium;s__ k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__Segetibacter;s__ k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__Candidatus Koribacter;s__ k__Bacteria;p__Verrucomicrobia;c__[Spartobacteria];o__[Chthoniobacterales];f__[Chthoniobacteraceae];g__DA101;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ k__Bacteria;p__Acidobacteria;c__Holophagae;o__Holophagales;f__Holophagaceae;g__Geothrix;s__ k__Bacteria;p__Chloroflexi;c__Chloroflexi;o__Chloroflexales;f__Oscillochloridaceae;g__Oscillochloris;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__ k__Bacteria;p__Verrucomicrobia;c__[Spartobacteria];o__[Chthoniobacterales];f__[Chthoniobacteraceae];g__DA101;s__ k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Sinobacteraceae;g__Steroidobacter;s__ k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__Niastella;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__Inquilinus;s__limosus k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Novosphingobium;s__ k__Bacteria;p__Verrucomicrobia;c__[Spartobacteria];o__[Chthoniobacterales];f__[Chthoniobacteraceae];g__Candidatus Xiphinematobacter;s__ k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Oxalobacteraceae;g__Cupriavidus;s__gilardii k__Bacteria;p__Bacteroidetes;c__Flavobacteriia;o__Flavobacteriales;f__Flavobacteriaceae;g__Flavobacterium;s__ k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Pseudonocardiaceae;g__Pseudonocardia;s__ k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__Candidatus Koribacter;s__ k__Bacteria;p__Actinobacteria;c__Rubrobacteria;o__Rubrobacterales;f__Rubrobacteraceae;g__Rubrobacter;s__ k__Bacteria;p__Bacteroidetes;c__Flavobacteriia;o__Flavobacteriales;f__Flavobacteriaceae;g__Flavobacterium;s__ k__Bacteria;p__Verrucomicrobia;c__[Spartobacteria];o__[Chthoniobacterales];f__[Chthoniobacteraceae];g__DA101;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Rhodobiaceae;g__Afifella;s__ k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__Flavisolibacter;s__ k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Oxalobacteraceae;g__Herminiimonas;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Methylocystaceae;g__Pleomorphomonas;s__ k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__Adhaeribacter;s__ k__Bacteria;p__Firmicutes;c__Clostridia;o__Clostridiales;f__Clostridiaceae;g__Clostridium;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Bradyrhizobiaceae;g__Balneimonas;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Intrasporangiaceae;g__Phycicoccus;s__ k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__Leptothrix;s__ k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Burkholderiaceae;g__Burkholderia;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ k__Bacteria;p__Bacteroidetes;c__Flavobacteriia;o__Flavobacteriales;f__Flavobacteriaceae;g__Flavobacterium;s__ k__Bacteria;p__Actinobacteria;c__Rubrobacteria;o__Rubrobacterales;f__Rubrobacteraceae;g__Rubrobacter;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Phyllobacteriaceae;g__Phyllobacterium;s__ k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Rhodocyclales;f__Rhodocyclaceae;g__Rhodocyclus;s__ k__Bacteria;p__Bacteroidetes;c__Sphingobacteriia;o__Sphingobacteriales;f__Sphingobacteriaceae;g__Pedobacter;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__ k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Xanthomonadaceae;g__Stenotrophomonas;s__retroflexus k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Nocardioidaceae;g__Nocardioides;s__ k__Bacteria;p__[Thermi];c__Deinococci;o__Deinococcales;f__Deinococcaceae;g__Deinococcus;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__Telmatospirillum;s__siberiense k__Bacteria;p__Bacteroidetes;c__Flavobacteriia;o__Flavobacteriales;f__Flavobacteriaceae;g__Flavobacterium;s__ k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Oxalobacteraceae;g__Ralstonia;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Rhizobiaceae;g__Agrobacterium;s__ k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Legionellales;f__Coxiellaceae;g__Aquicella;s__ k__Bacteria;p__Bacteroidetes;c__Sphingobacteriia;o__Sphingobacteriales;f__Sphingobacteriaceae;g__Mucilaginibacter;s__gracilis k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Desulfuromonadales;f__Geobacteraceae;g__Geobacter;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Micromonosporaceae;g__Catenuloplanes;s__atrovinosus k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Micromonosporaceae;g__Catellatospora;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__Flavisolibacter;s__ k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__Sporocytophaga;s__ k__Bacteria;p__Actinobacteria;c__Rubrobacteria;o__Rubrobacterales;f__Rubrobacteraceae;g__Rubrobacter;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__[Exiguobacteraceae];g__Exiguobacterium;s__ k__Bacteria;p__Bacteroidetes;c__Sphingobacteriia;o__Sphingobacteriales;f__Sphingobacteriaceae;g__Pedobacter;s__xinjiangensis k__Bacteria;p__Bacteroidetes;c__Sphingobacteriia;o__Sphingobacteriales;f__Sphingobacteriaceae;g__Pedobacter;s__ k__Bacteria;p__Actinobacteria;c__Rubrobacteria;o__Rubrobacterales;f__Rubrobacteraceae;g__Rubrobacter;s__ k__Bacteria;p__Cyanobacteria;c__Nostocophycideae;o__Nostocales;f__Nostocaceae;g__Nostoc;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Geodermatophilaceae;g__Modestobacter;s__ k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__Comamonas;s__ k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Sinobacteraceae;g__Steroidobacter;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Planococcaceae;g__Sporosarcina;s__ k__Bacteria;p__Verrucomicrobia;c__[Spartobacteria];o__[Chthoniobacterales];f__[Chthoniobacteraceae];g__DA101;s__ k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__Adhaeribacter;s__ k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Alteromonadales;f__Alteromonadaceae;g__Cellvibrio;s__ k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Oxalobacteraceae;g__Massilia;s__aerolata k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Burkholderiaceae;g__Burkholderia;s__ k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Legionellales;f__Coxiellaceae;g__Aquicella;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Pseudonocardiaceae;g__Actinomycetospora;s__ k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Pseudomonadales;f__Pseudomonadaceae;g__Pseudomonas;s__ k__Bacteria;p__Bacteroidetes;c__Flavobacteriia;o__Flavobacteriales;f__[Weeksellaceae];g__Chryseobacterium;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Novosphingobium;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Rhodobiaceae;g__Afifella;s__ k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Burkholderiaceae;g__Burkholderia;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Nocardioidaceae;g__Nocardioides;s__ k__Bacteria;p__Verrucomicrobia;c__[Spartobacteria];o__[Chthoniobacterales];f__[Chthoniobacteraceae];g__Chthoniobacter;s__ k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Methylococcales;f__Crenotrichaceae;g__Crenothrix;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ k__Bacteria;p__Bacteroidetes;c__Flavobacteriia;o__Flavobacteriales;f__Flavobacteriaceae;g__Flavobacterium;s__ k__Bacteria;p__Firmicutes;c__Clostridia;o__Clostridiales;f__Clostridiaceae;g__Clostridium;s__ k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__Polaromonas;s__ k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__Flavisolibacter;s__ k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__Polaromonas;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ k__Bacteria;p__Gemmatimonadetes;c__Gemmatimonadetes;o__Gemmatimonadales;f__Gemmatimonadaceae;g__Gemmatimonas;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Kaistobacter;s__ k__Bacteria;p__Verrucomicrobia;c__[Spartobacteria];o__[Chthoniobacterales];f__[Chthoniobacteraceae];g__DA101;s__ k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Legionellales;f__Coxiellaceae;g__Aquicella;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Paenibacillaceae;g__Paenibacillus;s__ k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Oxalobacteraceae;g__Ralstonia;s__ k__Bacteria;p__Bacteroidetes;c__Flavobacteriia;o__Flavobacteriales;f__Flavobacteriaceae;g__Flavobacterium;s__ k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__Segetibacter;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Propionibacteriaceae;g__Microlunatus;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Actinosynnemataceae;g__Kibdelosporangium;s__ k__Bacteria;p__Actinobacteria;c__Rubrobacteria;o__Rubrobacterales;f__Rubrobacteraceae;g__Rubrobacter;s__ k__Bacteria;p__Actinobacteria;c__Rubrobacteria;o__Rubrobacterales;f__Rubrobacteraceae;g__Rubrobacter;s__ k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__Segetibacter;s__ k__Bacteria;p__Verrucomicrobia;c__[Spartobacteria];o__[Chthoniobacterales];f__[Chthoniobacteraceae];g__DA101;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Paenibacillaceae;g__Paenibacillus;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Rhizobiaceae;g__Agrobacterium;s__ k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Oxalobacteraceae;g__Cupriavidus;s__ k__Bacteria;p__Bacteroidetes;c__Flavobacteriia;o__Flavobacteriales;f__Flavobacteriaceae;g__Capnocytophaga;s__ k__Bacteria;p__Bacteroidetes;c__Flavobacteriia;o__Flavobacteriales;f__Flavobacteriaceae;g__Capnocytophaga;s__ k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__Hymenobacter;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Paenibacillaceae;g__Paenibacillus;s__ k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__Candidatus Koribacter;s__ k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ k__Bacteria;p__Verrucomicrobia;c__[Spartobacteria];o__[Chthoniobacterales];f__[Chthoniobacteraceae];g__DA101;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Beutenbergiaceae;g__Beutenbergia;s__cavernae k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Burkholderiaceae;g__Burkholderia;s__andropogonis k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Microbacteriaceae;g__Microbacterium;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Caulobacterales;f__Caulobacteraceae;g__Phenylobacterium;s__ k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Enterobacteriales;f__Enterobacteriaceae;g__Erwinia;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Mycobacteriaceae;g__Mycobacterium;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Mycobacteriaceae;g__Mycobacterium;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__ k__Bacteria;p__Firmicutes;c__Clostridia;o__Clostridiales;f__Clostridiaceae;g__Clostridium;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Nocardioidaceae;g__Kribbella;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Planococcaceae;g__Planomicrobium;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Sphingomonas;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Streptomycetaceae;g__Streptomyces;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodobacterales;f__Rhodobacteraceae;g__Rubellimicrobium;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Methylobacteriaceae;g__Methylobacterium;s__adhaesivum k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Caulobacterales;f__Caulobacteraceae;g__Caulobacter;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Caulobacterales;f__Caulobacteraceae;g__Phenylobacterium;s__ k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Sphingobium;s__ k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__Hydrogenophaga;s__ k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Desulfuromonadales;f__Geobacteraceae;g__Geobacter;s__ k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Pseudomonadales;f__Pseudomonadaceae;g__Pseudomonas;s__ k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Desulfuromonadales;f__Geobacteraceae;g__Geobacter;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Caulobacterales;f__Caulobacteraceae;g__Phenylobacterium;s__ k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__Rhodoferax;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Nocardioidaceae;g__Nocardioides;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Planococcaceae;g__Planomicrobium;s__ k__Bacteria;p__Actinobacteria;c__Rubrobacteria;o__Rubrobacterales;f__Rubrobacteraceae;g__Rubrobacter;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Pseudonocardiaceae;g__Pseudonocardia;s__ k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__Ramlibacter;s__ k__Bacteria;p__Verrucomicrobia;c__[Spartobacteria];o__[Chthoniobacterales];f__[Chthoniobacteraceae];g__DA101;s__ k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__Hymenobacter;s__ k__Bacteria;p__Verrucomicrobia;c__[Spartobacteria];o__[Chthoniobacterales];f__[Chthoniobacteraceae];g__DA101;s__ k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Acidobacteriaceae;g__Terriglobus;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Geodermatophilaceae;g__Geodermatophilus;s__obscurus k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Streptomycetaceae;g__Streptomyces;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Streptomycetaceae;g__Streptomyces;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Planococcaceae;g__Solibacillus;s__ k__Bacteria;p__Firmicutes;c__Clostridia;o__Clostridiales;f__Clostridiaceae;g__Clostridium;s__ k__Bacteria;p__Nitrospirae;c__Nitrospira;o__Nitrospirales;f__Nitrospiraceae;g__Nitrospira;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ k__Bacteria;p__Actinobacteria;c__Rubrobacteria;o__Rubrobacterales;f__Rubrobacteraceae;g__Rubrobacter;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Mycobacteriaceae;g__Mycobacterium;s__celatum k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Xanthomonadaceae;g__Thermomonas;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Sphingomonas;s__ k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__Hymenobacter;s__ k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Xanthomonadaceae;g__Arenimonas;s__ k__Bacteria;p__Bacteroidetes;c__Flavobacteriia;o__Flavobacteriales;f__Flavobacteriaceae;g__Flavobacterium;s__ k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__ k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Bdellovibrionales;f__Bdellovibrionaceae;g__Bdellovibrio;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__Variovorax;s__ k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__Segetibacter;s__ k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Burkholderiaceae;g__Burkholderia;s__ k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Pseudomonadales;f__Pseudomonadaceae;g__Pseudomonas;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Rhodobiaceae;g__Afifella;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__mycoides k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Pseudomonadales;f__Moraxellaceae;g__Acinetobacter;s__ k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__Flavisolibacter;s__ k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Devosia;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Mycobacteriaceae;g__Mycobacterium;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Sphingomonas;s__wittichii k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodobacterales;f__Rhodobacteraceae;g__Loktanella;s__ k__Bacteria;p__Firmicutes;c__Clostridia;o__Clostridiales;f__Veillonellaceae;g__Pelosinus;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Phyllobacteriaceae;g__Mesorhizobium;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Paenibacillaceae;g__Brevibacillus;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Planococcaceae;g__Solibacillus;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Streptomycetaceae;g__Streptomyces;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ k__Bacteria;p__Verrucomicrobia;c__[Spartobacteria];o__[Chthoniobacterales];f__[Chthoniobacteraceae];g__DA101;s__ k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ k__Bacteria;p__Actinobacteria;c__Acidimicrobiia;o__Acidimicrobiales;f__Iamiaceae;g__Iamia;s__ k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Bdellovibrionales;f__Bdellovibrionaceae;g__Bdellovibrio;s__ k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Neisseriales;f__Neisseriaceae;g__Aquaspirillum;s__putridiconchylium k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Rhodocyclales;f__Rhodocyclaceae;g__Uliginosibacterium;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Mycobacteriaceae;g__Mycobacterium;s__ k__Bacteria;p__Verrucomicrobia;c__[Spartobacteria];o__[Chthoniobacterales];f__[Chthoniobacteraceae];g__DA101;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Phyllobacteriaceae;g__Mesorhizobium;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Paenibacillaceae;g__Brevibacillus;s__reuszeri k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Rhodocyclales;f__Rhodocyclaceae;g__Azoarcus;s__ k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Acidobacteriaceae;g__Granulicella;s__paludicola k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Solirubrobacterales;f__Conexibacteraceae;g__Conexibacter;s__ k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Methylococcales;f__Crenotrichaceae;g__Crenothrix;s__ k__Bacteria;p__Verrucomicrobia;c__[Spartobacteria];o__[Chthoniobacterales];f__[Chthoniobacteraceae];g__DA101;s__ k__Bacteria;p__Bacteroidetes;c__Flavobacteriia;o__Flavobacteriales;f__Flavobacteriaceae;g__Flavobacterium;s__succinicans k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Hyphomicrobium;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Planococcaceae;g__Planomicrobium;s__ k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__Rhodocytophaga;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Planococcaceae;g__Planomicrobium;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Streptosporangiaceae;g__Streptosporangium;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Novosphingobium;s__ k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Sinobacteraceae;g__Nevskia;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Gallionellales;f__Gallionellaceae;g__Gallionella;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Streptomycetaceae;g__Streptomyces;s__mirabilis k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Xanthomonadaceae;g__Dokdonella;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__Azospirillum;s__ k__Bacteria;p__Cyanobacteria;c__Synechococcophycideae;o__Pseudanabaenales;f__Pseudanabaenaceae;g__Leptolyngbya;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Rhizobiaceae;g__Agrobacterium;s__ k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__Xenophilus;s__aerolatus k__Bacteria;p__Cyanobacteria;c__Nostocophycideae;o__Nostocales;f__Nostocaceae;g__Nostoc;s__ k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__Flavisolibacter;s__ k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__Sediminibacterium;s__ k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Burkholderiaceae;g__Burkholderia;s__ k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__Hydrogenophaga;s__ k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Sinobacteraceae;g__Steroidobacter;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Micromonosporaceae;g__Virgisporangium;s__ochraceum k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__Segetibacter;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Kaistobacter;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Rhizobiaceae;g__Agrobacterium;s__ k__Bacteria;p__Verrucomicrobia;c__[Spartobacteria];o__[Chthoniobacterales];f__[Chthoniobacteraceae];g__DA101;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Rhizobiaceae;g__Agrobacterium;s__ k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Rhodocyclales;f__Rhodocyclaceae;g__Thauera;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Pedomicrobium;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Cellulomonadaceae;g__Cellulomonas;s__ k__Bacteria;p__Actinobacteria;c__Rubrobacteria;o__Rubrobacterales;f__Rubrobacteraceae;g__Rubrobacter;s__ k__Bacteria;p__Nitrospirae;c__Nitrospira;o__Nitrospirales;f__Nitrospiraceae;g__Nitrospira;s__ k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Oxalobacteraceae;g__Janthinobacterium;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__selenatarsenatis k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__ k__Bacteria;p__Firmicutes;c__Clostridia;o__Clostridiales;f__Veillonellaceae;g__Pelosinus;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Streptomycetaceae;g__Streptomyces;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Pseudonocardiaceae;g__Pseudonocardia;s__halophobica k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Desulfuromonadales;f__Geobacteraceae;g__Geobacter;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Micrococcaceae;g__Arthrobacter;s__sulfureus k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Sphingomonas;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Rhodobiaceae;g__Afifella;s__ k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Syntrophobacterales;f__Syntrophaceae;g__Syntrophus;s__ k__Bacteria;p__Bacteroidetes;c__Sphingobacteriia;o__Sphingobacteriales;f__Sphingobacteriaceae;g__Pedobacter;s__cryoconitis k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Nocardioidaceae;g__Nocardioides;s__ k__Bacteria;p__Firmicutes;c__Clostridia;o__Clostridiales;f__Lachnospiraceae;g__Blautia;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Streptosporangiaceae;g__Streptosporangium;s__ k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__Variovorax;s__paradoxus k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__Rhodocytophaga;s__ k__Bacteria;p__Actinobacteria;c__Rubrobacteria;o__Rubrobacterales;f__Rubrobacteraceae;g__Rubrobacter;s__ k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__Flavisolibacter;s__ k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Paenibacillaceae;g__Ammoniphilus;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__ k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__Flavisolibacter;s__ k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Rhodocyclales;f__Rhodocyclaceae;g__Azoarcus;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Methylobacteriaceae;g__Methylobacterium;s__ k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ k__Bacteria;p__Verrucomicrobia;c__[Spartobacteria];o__[Chthoniobacterales];f__[Chthoniobacteraceae];g__Candidatus Xiphinematobacter;s__ k__Bacteria;p__Bacteroidetes;c__Flavobacteriia;o__Flavobacteriales;f__Flavobacteriaceae;g__Flavobacterium;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Mycobacteriaceae;g__Mycobacterium;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__muralis k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Burkholderiaceae;g__Burkholderia;s__ k__Bacteria;p__Bacteroidetes;c__Flavobacteriia;o__Flavobacteriales;f__Flavobacteriaceae;g__Flavobacterium;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Nocardioidaceae;g__Kribbella;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__foraminis k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Sphingomonas;s__ k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Bdellovibrionales;f__Bdellovibrionaceae;g__Bdellovibrio;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Streptosporangiaceae;g__Nonomuraea;s__ k__Bacteria;p__Verrucomicrobia;c__[Spartobacteria];o__[Chthoniobacterales];f__[Chthoniobacteraceae];g__DA101;s__ k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Burkholderiaceae;g__Burkholderia;s__ k__Bacteria;p__Verrucomicrobia;c__[Spartobacteria];o__[Chthoniobacterales];f__[Chthoniobacteraceae];g__DA101;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Sphingomonas;s__wittichii k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__Polyangiaceae;g__Sorangium;s__cellulosum k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Caulobacterales;f__Caulobacteraceae;g__Arthrospira;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__selenatarsenatis k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__Rhodocytophaga;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Paenibacillaceae;g__Ammoniphilus;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Rhizobiaceae;g__Agrobacterium;s__ k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Burkholderiaceae;g__Burkholderia;s__ k__Bacteria;p__Bacteroidetes;c__Flavobacteriia;o__Flavobacteriales;f__Flavobacteriaceae;g__Flavobacterium;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Caulobacterales;f__Caulobacteraceae;g__Arthrospira;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Lactobacillales;f__Enterococcaceae;g__Enterococcus;s__ k__Bacteria;p__Bacteroidetes;c__Flavobacteriia;o__Flavobacteriales;f__Flavobacteriaceae;g__Flavobacterium;s__ k__Bacteria;p__Verrucomicrobia;c__[Spartobacteria];o__[Chthoniobacterales];f__[Chthoniobacteraceae];g__DA101;s__ k__Bacteria;p__Bacteroidetes;c__Flavobacteriia;o__Flavobacteriales;f__Flavobacteriaceae;g__Flavobacterium;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Methylocystaceae;g__Methylosinus;s__ k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Sinobacteraceae;g__Steroidobacter;s__ k__Bacteria;p__Verrucomicrobia;c__[Spartobacteria];o__[Chthoniobacterales];f__[Chthoniobacteraceae];g__DA101;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Kaistobacter;s__ k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__Candidatus Koribacter;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__Rubrivivax;s__ k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__Hymenobacter;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__ k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__Myxococcaceae;g__Anaeromyxobacter;s__ k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__Flavisolibacter;s__ k__Bacteria;p__Bacteroidetes;c__Flavobacteriia;o__Flavobacteriales;f__Flavobacteriaceae;g__Flavobacterium;s__ k__Bacteria;p__Verrucomicrobia;c__Opitutae;o__Opitutales;f__Opitutaceae;g__Opitutus;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Bradyrhizobiaceae;g__Bradyrhizobium;s__ k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Lactobacillales;f__Streptococcaceae;g__Streptococcus;s__ k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Sphingomonas;s__ k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Pasteurellales;f__Pasteurellaceae;g__Aggregatibacter;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Alicyclobacillaceae;g__Alicyclobacillus;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Micrococcaceae;g__Arthrobacter;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ k__Bacteria;p__Verrucomicrobia;c__[Spartobacteria];o__[Chthoniobacterales];f__[Chthoniobacteraceae];g__OR-59;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Devosia;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Micrococcaceae;g__Arthrobacter;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Thermomonosporaceae;g__Actinoallomurus;s__iriomotensis k__Bacteria;p__Chloroflexi;c__Chloroflexi;o__[Roseiflexales];f__[Kouleothrixaceae];g__Kouleothrix;s__ k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Rhodocyclales;f__Rhodocyclaceae;g__Zoogloea;s__ k__Bacteria;p__Verrucomicrobia;c__[Spartobacteria];o__[Chthoniobacterales];f__[Chthoniobacteraceae];g__DA101;s__ k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Sinobacteraceae;g__Steroidobacter;s__ k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Rhodocyclales;f__Rhodocyclaceae;g__KD1-23;s__ k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__Methylibium;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__flexus k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Desulfuromonadales;f__Geobacteraceae;g__Geobacter;s__ k__Bacteria;p__Verrucomicrobia;c__[Spartobacteria];o__[Chthoniobacterales];f__[Chthoniobacteraceae];g__DA101;s__ k__Bacteria;p__Cyanobacteria;c__Nostocophycideae;o__Nostocales;f__Nostocaceae;g__Nostoc;s__punctiforme k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Sphingomonas;s__wittichii k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Devosia;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodobacterales;f__Rhodobacteraceae;g__Paracoccus;s__ k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__Candidatus Koribacter;s__ k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__Leptothrix;s__ k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Burkholderiaceae;g__Salinispora;s__tropica k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__Spirosoma;s__ k__Bacteria;p__Cyanobacteria;c__Oscillatoriophycideae;o__Oscillatoriales;f__Phormidiaceae;g__Phormidium;s__ k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__Segetibacter;s__ k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Burkholderiaceae;g__Salinispora;s__tropica k__Bacteria;p__Armatimonadetes;c__[Fimbriimonadia];o__[Fimbriimonadales];f__[Fimbriimonadaceae];g__Fimbriimonas;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Kaistobacter;s__ k__Bacteria;p__Cyanobacteria;c__Nostocophycideae;o__Nostocales;f__Nostocaceae;g__Nostoc;s__spongiaeforme AKM13 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Mycobacteriaceae;g__Mycobacterium;s__ k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Rhodocyclales;f__Rhodocyclaceae;g__Propionivibrio;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Streptomycetaceae;g__Streptomyces;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Pseudonocardiaceae;g__Amycolatopsis;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Sphingobium;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Acetobacteraceae;g__Acidocella;s__ k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Neisseriales;f__Neisseriaceae;g__Deefgea;s__ k__Bacteria;p__Firmicutes;c__Clostridia;o__Clostridiales;f__Clostridiaceae;g__Clostridium;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Devosia;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Streptomycetaceae;g__Streptomyces;s__ k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Kaistobacter;s__ k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ k__Bacteria;p__Actinobacteria;c__Rubrobacteria;o__Rubrobacterales;f__Rubrobacteraceae;g__Rubrobacter;s__ k__Bacteria;p__Verrucomicrobia;c__[Spartobacteria];o__[Chthoniobacterales];f__[Chthoniobacteraceae];g__DA101;s__ k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Burkholderiaceae;g__Burkholderia;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Caulobacterales;f__Caulobacteraceae;g__Phenylobacterium;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__badius k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Xanthomonadaceae;g__Lysobacter;s__ k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Pseudomonadales;f__Pseudomonadaceae;g__Pseudomonas;s__ k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__Myxococcaceae;g__Myxococcus;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Planococcaceae;g__Sporosarcina;s__ k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Legionellales;f__Legionellaceae;g__Tatlockia;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Micrococcaceae;g__Arthrobacter;s__pascens k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Beijerinckiaceae;g__Methyloferula;s__stellata k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Pseudonocardiaceae;g__Pseudonocardia;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Actinosynnemataceae;g__Saccharothrix;s__ k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Pseudomonadales;f__Pseudomonadaceae;g__Pseudomonas;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Caulobacterales;f__Caulobacteraceae;g__Nitrobacteria;s__hamadaniensis k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Phyllobacteriaceae;g__Mesorhizobium;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Intrasporangiaceae;g__Phycicoccus;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Streptomycetaceae;g__Streptomyces;s__ k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Pseudomonadales;f__Pseudomonadaceae;g__Pseudomonas;s__stutzeri k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Caulobacterales;f__Caulobacteraceae;g__Caulobacter;s__ k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__Chitinophaga;s__ k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__Variovorax;s__paradoxus k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Geodermatophilaceae;g__Geodermatophilus;s__ k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Syntrophobacterales;f__Syntrophaceae;g__Desulfobacca;s__ k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ k__Bacteria;p__Firmicutes;c__Clostridia;o__Clostridiales;f__Clostridiaceae;g__Clostridium;s__ k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__Roseateles;s__depolymerans k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Gallionellales;f__Gallionellaceae;g__Gallionella;s__ k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__Myxococcaceae;g__Anaeromyxobacter;s__ k__Bacteria;p__Bacteroidetes;c__Flavobacteriia;o__Flavobacteriales;f__Flavobacteriaceae;g__Flavobacterium;s__ k__Bacteria;p__Bacteroidetes;c__Flavobacteriia;o__Flavobacteriales;f__Flavobacteriaceae;g__Flavobacterium;s__ k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__Acidovorax;s__defluvii k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Enterobacteriales;f__Enterobacteriaceae;g__Erwinia;s__ k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ k__Bacteria;p__Bacteroidetes;c__Flavobacteriia;o__Flavobacteriales;f__[Weeksellaceae];g__Chryseobacterium;s__ k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__Adhaeribacter;s__ k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Pseudomonadales;f__Pseudomonadaceae;g__Pseudomonas;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Paenibacillaceae;g__Paenibacillus;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__ k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__Ramlibacter;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Hyphomicrobium;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Lactobacillales;f__Carnobacteriaceae;g__Desemzia;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Bradyrhizobiaceae;g__Balneimonas;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Nocardiaceae;g__Nocardia;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Micromonosporaceae;g__Pilimelia;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Sphingomonas;s__wittichii k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Bradyrhizobiaceae;g__Balneimonas;s__ k__Bacteria;p__Firmicutes;c__Clostridia;o__Clostridiales;f__Clostridiaceae;g__Clostridium;s__bowmanii k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__Flavisolibacter;s__ k__Bacteria;p__Bacteroidetes;c__Bacteroidia;o__Bacteroidales;f__Porphyromonadaceae;g__Paludibacter;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Lactobacillales;f__Streptococcaceae;g__Streptococcus;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Kaistobacter;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Nocardiaceae;g__Nocardia;s__ k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__Flavisolibacter;s__ k__Bacteria;p__Bacteroidetes;c__Flavobacteriia;o__Flavobacteriales;f__Flavobacteriaceae;g__Flavobacterium;s__ k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__Adhaeribacter;s__ k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__Adhaeribacter;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Nocardioidaceae;g__Friedmanniella;s__ k__Bacteria;p__Cyanobacteria;c__Oscillatoriophycideae;o__Oscillatoriales;f__Phormidiaceae;g__Phormidium;s__ k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Oxalobacteraceae;g__Janthinobacterium;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Actinosynnemataceae;g__Saccharothrix;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Pseudomonadales;f__Moraxellaceae;g__Moraxella;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Paenibacillaceae;g__Paenibacillus;s__alvei k__Bacteria;p__Bacteroidetes;c__Flavobacteriia;o__Flavobacteriales;f__Flavobacteriaceae;g__Flavobacterium;s__succinicans k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__Segetibacter;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Bradyrhizobiaceae;g__Bradyrhizobium;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Planococcaceae;g__Planomicrobium;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Micromonosporaceae;g__Verrucosispora;s__gifhornensis k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Frankiaceae;g__Actinomycetales;s__Ellin122 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Micromonosporaceae;g__Verrucosispora;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__humi k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Acidobacteriaceae;g__Acidicapsa;s__borealis k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Devosia;s__ k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Burkholderiaceae;g__Burkholderia;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Methylobacteriaceae;g__Methylobacterium;s__mesophilicum k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Rhodobiaceae;g__Afifella;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Micromonosporaceae;g__Virgisporangium;s__ochraceum k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Phyllobacteriaceae;g__Defluvibacter;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Streptomycetaceae;g__Streptomyces;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__ k__Bacteria;p__Bacteroidetes;c__Flavobacteriia;o__Flavobacteriales;f__Flavobacteriaceae;g__Flavobacterium;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Streptomycetaceae;g__Streptomyces;s__ k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__Candidatus Koribacter;s__ k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Xanthomonadaceae;g__Aspromonas;s__composti k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__Methylibium;s__ k__Bacteria;p__Actinobacteria;c__Rubrobacteria;o__Rubrobacterales;f__Rubrobacteraceae;g__Rubrobacter;s__ k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__Sporocytophaga;s__ k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__Segetibacter;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Microbacteriaceae;g__Agromyces;s__ k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__Flavisolibacter;s__ k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__Methylibium;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Alicyclobacillaceae;g__Alicyclobacillus;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__Rubrivivax;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__cereus k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Burkholderiaceae;g__Burkholderia;s__ k__Bacteria;p__Verrucomicrobia;c__[Spartobacteria];o__[Chthoniobacterales];f__[Chthoniobacteraceae];g__DA101;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Acetobacteraceae;g__Belnapia;s__moabensis k__Bacteria;p__Firmicutes;c__Clostridia;o__Clostridiales;f__Clostridiaceae;g__Clostridium;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Sphingomonas;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Actinosynnemataceae;g__Lentzea;s__ k__Bacteria;p__Chloroflexi;c__Anaerolineae;o__Ardenscatenales;f__Ardenscatenaceae;g__Ardenscatena;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Propionibacteriaceae;g__Microlunatus;s__ k__Bacteria;p__Bacteroidetes;c__Flavobacteriia;o__Flavobacteriales;f__Flavobacteriaceae;g__Flavobacterium;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ k__Bacteria;p__Verrucomicrobia;c__Opitutae;o__Opitutales;f__Opitutaceae;g__Opitutus;s__ k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__Rhodocytophaga;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Sphingomonas;s__wittichii k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Xanthomonadaceae;g__Lysobacter;s__ k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Rhodocyclales;f__Rhodocyclaceae;g__Dechloromonas;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Nocardioidaceae;g__Nocardioides;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Mycobacteriaceae;g__Mycobacterium;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Streptosporangiaceae;g__Microbispora;s__mesophila k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Devosia;s__ k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Sinobacteraceae;g__Steroidobacter;s__ k__Bacteria;p__Firmicutes;c__Clostridia;o__Clostridiales;f__Peptococcaceae;g__Desulfosporosinus;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Micromonosporaceae;g__Pilimelia;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Rhodocyclales;f__Rhodocyclaceae;g__Methyloversatilis;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Pseudonocardiaceae;g__Amycolatopsis;s__ k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Xanthomonadaceae;g__Stenotrophomonas;s__acidaminiphila k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ k__Bacteria;p__Actinobacteria;c__Nitriliruptoria;o__Euzebyales;f__Euzebyaceae;g__Euzebya;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Rhodobiaceae;g__Afifella;s__ k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__Leptothrix;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Caulobacterales;f__Caulobacteraceae;g__Mycoplana;s__ k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__Methylibium;s__ k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__Adhaeribacter;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Devosia;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__ k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Pseudomonadales;f__Pseudomonadaceae;g__Pseudomonas;s__ k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Desulfuromonadales;f__Geobacteraceae;g__Geobacter;s__ k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Methylophilales;f__Methylophilaceae;g__Methylotenera;s__mobilis k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Burkholderiaceae;g__Salinispora;s__ k__Bacteria;p__Firmicutes;c__Clostridia;o__Clostridiales;f__Clostridiaceae;g__Clostridium;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Paenibacillaceae;g__Paenibacillus;s__ k__Bacteria;p__Bacteroidetes;c__Flavobacteriia;o__Flavobacteriales;f__Flavobacteriaceae;g__Flavobacterium;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Hyphomicrobium;s__ k__Bacteria;p__Cyanobacteria;c__Synechococcophycideae;o__Pseudanabaenales;f__Pseudanabaenaceae;g__Leptolyngbya;s__frigida k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Paenibacillaceae;g__Paenibacillus;s__larvae k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Pseudonocardiaceae;g__Amycolatopsis;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Sphingomonas;s__ k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Sinobacteraceae;g__Steroidobacter;s__ k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Legionellales;f__Legionellaceae;g__Legionella;s__ k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rickettsiales;f__mitochondria;g__Anomodon;s__rugelii k__Bacteria;p__Verrucomicrobia;c__[Spartobacteria];o__[Chthoniobacterales];f__[Chthoniobacteraceae];g__DA101;s__ k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__Adhaeribacter;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Streptomycetaceae;g__Streptomyces;s__ k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__Limnohabitans;s__ k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__[Entotheonellales];f__[Entotheonellaceae];g__Candidatus Entotheonella;s__ k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__Polaromonas;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Micrococcaceae;g__Arthrobacter;s__ k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__Flavisolibacter;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Sphingomonas;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Desulfuromonadales;f__Geobacteraceae;g__Geobacter;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Acetobacteraceae;g__Roseomonas;s__ k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Oxalobacteraceae;g__Janthinobacterium;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__Skermanella;s__ k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Burkholderiaceae;g__Burkholderia;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Geobacillus;s__ k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Sinobacteraceae;g__Steroidobacter;s__ k__Bacteria;p__Bacteroidetes;c__Sphingobacteriia;o__Sphingobacteriales;f__Sphingobacteriaceae;g__Pedobacter;s__ k__Bacteria;p__Firmicutes;c__Clostridia;o__Clostridiales;f__Clostridiaceae;g__Clostridium;s__ k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__Hymenobacter;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Paenibacillaceae;g__Paenibacillus;s__ k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__Flavisolibacter;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Microbacteriaceae;g__Salinibacterium;s__ k__Bacteria;p__Tenericutes;c__Mollicutes;o__Anaeroplasmatales;f__Anaeroplasmataceae;g__Asteroleplasma;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__ k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Legionellales;f__Legionellaceae;g__Legionella;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Acetobacteraceae;g__Roseomonas;s__aerilata k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Rhizobiaceae;g__Shinella;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Oxalobacteraceae;g__Cupriavidus;s__gilardii k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Paenibacillaceae;g__Paenibacillus;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Pedomicrobium;s__australicum k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Sphingomonas;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Geodermatophilaceae;g__Geodermatophilus;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Devosia;s__ k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Xanthomonadaceae;g__Dokdonella;s__ k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Oxalobacteraceae;g__Janthinobacterium;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Rhodobiaceae;g__Afifella;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Kaistobacter;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__ k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Pseudomonadales;f__Pseudomonadaceae;g__Pseudomonas;s__fragi k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__Spirosoma;s__ k__Bacteria;p__Gemmatimonadetes;c__Gemmatimonadetes;o__Gemmatimonadales;f__Gemmatimonadaceae;g__Gemmatimonas;s__ k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__Polyangiaceae;g__Sorangium;s__cellulosum k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__thuringiensis k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__Candidatus Koribacter;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__Skermanella;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Methylobacteriaceae;g__Methylobacterium;s__ k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Xanthomonadaceae;g__Lysobacter;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Microbacteriaceae;g__Curtobacterium;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Streptomycetaceae;g__Streptomyces;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Pedomicrobium;s__ k__Bacteria;p__Bacteroidetes;c__Flavobacteriia;o__Flavobacteriales;f__Flavobacteriaceae;g__Flavobacterium;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Devosia;s__ k__Bacteria;p__Verrucomicrobia;c__[Spartobacteria];o__[Chthoniobacterales];f__[Chthoniobacteraceae];g__DA101;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Thermomonosporaceae;g__Actinomadura;s__alba k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Paenibacillaceae;g__Paenibacillus;s__ k__Bacteria;p__Actinobacteria;c__Rubrobacteria;o__Rubrobacterales;f__Rubrobacteraceae;g__Rubrobacter;s__ k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__Segetibacter;s__ k__Bacteria;p__Bacteroidetes;c__Flavobacteriia;o__Flavobacteriales;f__Flavobacteriaceae;g__Flavobacterium;s__succinicans k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Bradyrhizobiaceae;g__Bosea;s__genosp. k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Alteromonadales;f__Alteromonadaceae;g__Cellvibrio;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Devosia;s__ k__Bacteria;p__Firmicutes;c__Clostridia;o__Clostridiales;f__Lachnospiraceae;g__Coprococcus;s__ k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__Flavisolibacter;s__ k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Oxalobacteraceae;g__Ralstonia;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Methylobacteriaceae;g__Methylobacterium;s__adhaesivum k__Bacteria;p__Bacteroidetes;c__Flavobacteriia;o__Flavobacteriales;f__Flavobacteriaceae;g__Flavobacterium;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Microbacteriaceae;g__Agromyces;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Kaistobacter;s__ k__Bacteria;p__Armatimonadetes;c__[Fimbriimonadia];o__[Fimbriimonadales];f__[Fimbriimonadaceae];g__Fimbriimonas;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__firmus k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Legionellales;f__Coxiellaceae;g__Aquicella;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Kaistobacter;s__ k__Bacteria;p__Chloroflexi;c__Anaerolineae;o__Ardenscatenales;f__Ardenscatenaceae;g__Ardenscatena;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Micromonosporaceae;g__Catellatospora;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Geodermatophilaceae;g__Geodermatophilus;s__ k__Bacteria;p__Nitrospirae;c__Nitrospira;o__Nitrospirales;f__Nitrospiraceae;g__Nitrospira;s__ k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Micromonosporaceae;g__Catellatospora;s__ k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Xanthomonadaceae;g__Pseudoxanthomonas;s__indica k__Bacteria;p__Actinobacteria;c__Rubrobacteria;o__Rubrobacterales;f__Rubrobacteraceae;g__Rubrobacter;s__ k__Bacteria;p__Bacteroidetes;c__Flavobacteriia;o__Flavobacteriales;f__Flavobacteriaceae;g__Flavobacterium;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__ k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Desulfuromonadales;f__Geobacteraceae;g__Geobacter;s__ k__Bacteria;p__Verrucomicrobia;c__[Spartobacteria];o__[Chthoniobacterales];f__[Chthoniobacteraceae];g__DA101;s__ k__Bacteria;p__Bacteroidetes;c__Sphingobacteriia;o__Sphingobacteriales;f__Sphingobacteriaceae;g__Pedobacter;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Rhodobiaceae;g__Afifella;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__ k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__Adhaeribacter;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Microbacteriaceae;g__Microbacterium;s__ k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__Polyangiaceae;g__Sorangium;s__cellulosum k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Microbacteriaceae;g__Salinibacterium;s__ k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Nitrosomonadales;f__Nitrosomonadaceae;g__Nitrosovibrio;s__tenuis k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__Adhaeribacter;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Sphingomonas;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Sphingomonas;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Nocardioidaceae;g__Nocardioides;s__ k__Bacteria;p__Actinobacteria;c__Rubrobacteria;o__Rubrobacterales;f__Rubrobacteraceae;g__Rubrobacter;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Cryptosporangiaceae;g__Cryptosporangium;s__ k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__Candidatus Koribacter;s__ k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Bdellovibrionales;f__Bdellovibrionaceae;g__Bdellovibrio;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Devosia;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Bradyrhizobiaceae;g__Balneimonas;s__ k__Bacteria;p__Bacteroidetes;c__Flavobacteriia;o__Flavobacteriales;f__Flavobacteriaceae;g__Flavobacterium;s__ k__Bacteria;p__Actinobacteria;c__Nitriliruptoria;o__Euzebyales;f__Euzebyaceae;g__Euzebya;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Micromonosporaceae;g__Solwaraspora;s__ k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Pseudomonadales;f__Pseudomonadaceae;g__Pseudomonas;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Rhodobiaceae;g__Afifella;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Nocardioidaceae;g__Friedmanniella;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__Candidatus Koribacter;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Rhizobiaceae;g__Agrobacterium;s__ k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__Candidatus Koribacter;s__ k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__Adhaeribacter;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Sphingomonas;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Bradyrhizobiaceae;g__Balneimonas;s__ k__Bacteria;p__Verrucomicrobia;c__Opitutae;o__Opitutales;f__Opitutaceae;g__Opitutus;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Hyphomicrobium;s__ k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Xanthomonadaceae;g__Luteimonas;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Planococcaceae;g__Viridibacillus;s__ k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Burkholderiaceae;g__Burkholderia;s__andropogonis k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__Flavisolibacter;s__ k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Pseudomonadales;f__Pseudomonadaceae;g__Pseudomonas;s__ k__Bacteria;p__Bacteroidetes;c__Sphingobacteriia;o__Sphingobacteriales;f__Sphingobacteriaceae;g__Pedobacter;s__ k__Bacteria;p__Bacteroidetes;c__Flavobacteriia;o__Flavobacteriales;f__Flavobacteriaceae;g__Flavobacterium;s__ k__Bacteria;p__Bacteroidetes;c__Flavobacteriia;o__Flavobacteriales;f__Flavobacteriaceae;g__Flavobacterium;s__ k__Bacteria;p__Actinobacteria;c__Acidimicrobiia;o__Acidimicrobiales;f__Iamiaceae;g__Iamia;s__ k__Bacteria;p__Verrucomicrobia;c__[Spartobacteria];o__[Chthoniobacterales];f__[Chthoniobacteraceae];g__DA101;s__ k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Burkholderiaceae;g__Burkholderia;s__ k__Bacteria;p__Verrucomicrobia;c__[Spartobacteria];o__[Chthoniobacterales];f__[Chthoniobacteraceae];g__DA101;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Cellulomonadaceae;g__Cellulomonas;s__xylanilytica k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Rhodocyclales;f__Rhodocyclaceae;g__Dechloromonas;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ k__Bacteria;p__Nitrospirae;c__Nitrospira;o__Nitrospirales;f__Nitrospiraceae;g__Nitrospira;s__ k__Bacteria;p__Firmicutes;c__Clostridia;o__Clostridiales;f__Clostridiaceae;g__SMB53;s__ k__Bacteria;p__Cyanobacteria;c__Oscillatoriophycideae;o__Oscillatoriales;f__Phormidiaceae;g__Phormidium;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Devosia;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__Flavisolibacter;s__ k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__Segetibacter;s__ k__Bacteria;p__Bacteroidetes;c__Flavobacteriia;o__Flavobacteriales;f__Cryomorphaceae;g__Fluviicola;s__ k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Xanthomonadaceae;g__Thermomonas;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Lactobacillales;f__Streptococcaceae;g__Streptococcus;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Legionellales;f__Coxiellaceae;g__Aquicella;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Sphingomonas;s__ k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__Adhaeribacter;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Microbacteriaceae;g__Salinibacterium;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Bdellovibrionales;f__Bdellovibrionaceae;g__Bdellovibrio;s__ k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Legionellales;f__Coxiellaceae;g__Aquicella;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__cereus k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Pseudomonadales;f__Pseudomonadaceae;g__Pseudomonas;s__ k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Burkholderiaceae;g__Burkholderia;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Rhodobiaceae;g__Afifella;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Devosia;s__ k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Methylophilales;f__Methylophilaceae;g__Methylotenera;s__mobilis k__Bacteria;p__Verrucomicrobia;c__Opitutae;o__Opitutales;f__Opitutaceae;g__Opitutus;s__ k__Bacteria;p__Tenericutes;c__Mollicutes;o__Anaeroplasmatales;f__Anaeroplasmataceae;g__Asteroleplasma;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Sphingomonas;s__asaccharolytica k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Bradyrhizobiaceae;g__Bradyrhizobium;s__ k__Bacteria;p__Verrucomicrobia;c__[Spartobacteria];o__[Chthoniobacterales];f__[Chthoniobacteraceae];g__DA101;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Streptomycetaceae;g__Streptomyces;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Bradyrhizobiaceae;g__Balneimonas;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__asahii k__Bacteria;p__Tenericutes;c__Mollicutes;o__Anaeroplasmatales;f__Anaeroplasmataceae;g__Asteroleplasma;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ k__Bacteria;p__Verrucomicrobia;c__[Spartobacteria];o__[Chthoniobacterales];f__[Chthoniobacteraceae];g__DA101;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Alicyclobacillaceae;g__Alicyclobacillus;s__ k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Xanthomonadaceae;g__Rhodanobacter;s__ k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Rhodocyclales;f__Rhodocyclaceae;g__Azoarcus;s__ k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Oxalobacteraceae;g__Janthinobacterium;s__lividum k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Burkholderiaceae;g__Pandoraea;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Streptomycetaceae;g__Streptomyces;s__ k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Acidobacteriaceae;g__Terriglobus;s__ k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__Flavisolibacter;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Mycobacteriaceae;g__Mycobacterium;s__vaccae k__Bacteria;p__Cyanobacteria;c__Oscillatoriophycideae;o__Oscillatoriales;f__Phormidiaceae;g__Phormidium;s__ k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Bdellovibrionales;f__Bdellovibrionaceae;g__Bdellovibrio;s__ k__Bacteria;p__Bacteroidetes;c__Flavobacteriia;o__Flavobacteriales;f__Flavobacteriaceae;g__Flavobacterium;s__ k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Bradyrhizobiaceae;g__Bosea;s__genosp. k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__Methylibium;s__ k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__Rubrivivax;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Mycobacteriaceae;g__Mycobacterium;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Devosia;s__ k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__Ramlibacter;s__ k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Oxalobacteraceae;g__Janthinobacterium;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Mycobacteriaceae;g__Mycobacterium;s__llatzerense k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Acidobacteriaceae;g__Terriglobus;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Beijerinckiaceae;g__Methylovirgula;s__ligni k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Nocardioidaceae;g__Nocardioides;s__furvisabuli k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__ k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Oxalobacteraceae;g__Janthinobacterium;s__lividum k__Bacteria;p__Bacteroidetes;c__Flavobacteriia;o__Flavobacteriales;f__[Weeksellaceae];g__Chryseobacterium;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Mycobacteriaceae;g__Mycobacterium;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Actinosynnemataceae;g__Kutzneria;s__ k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__Hymenobacter;s__ k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__Candidatus Koribacter;s__ k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__Candidatus Koribacter;s__ k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Burkholderiaceae;g__Burkholderia;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Sphingomonas;s__ k__Bacteria;p__Verrucomicrobia;c__[Spartobacteria];o__[Chthoniobacterales];f__[Chthoniobacteraceae];g__DA101;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__cereus k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__Leptothrix;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__selenatarsenatis k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Planococcaceae;g__Sporosarcina;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Micromonosporaceae;g__Pilimelia;s__ k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__Dyadobacter;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Streptosporangiaceae;g__Nonomuraea;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ k__Bacteria;p__Gemmatimonadetes;c__Gemmatimonadetes;o__Gemmatimonadales;f__Gemmatimonadaceae;g__Gemmatimonas;s__ k__Bacteria;p__Bacteroidetes;c__Flavobacteriia;o__Flavobacteriales;f__Flavobacteriaceae;g__Flavobacterium;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Phyllobacteriaceae;g__Mesorhizobium;s__ k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Sphingomonas;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Pseudonocardiaceae;g__Pseudonocardia;s__ k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Rhodocyclales;f__Rhodocyclaceae;g__Dok59;s__ k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Xanthomonadaceae;g__Lysobacter;s__ximonensis k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__selenatarsenatis k__Bacteria;p__Acidobacteria;c__Holophagae;o__Holophagales;f__Holophagaceae;g__Geothrix;s__ k__Bacteria;p__Bacteroidetes;c__Flavobacteriia;o__Flavobacteriales;f__Flavobacteriaceae;g__Flavobacterium;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ k__Bacteria;p__Verrucomicrobia;c__[Spartobacteria];o__[Chthoniobacterales];f__[Chthoniobacteraceae];g__Ellin506;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ k__Bacteria;p__Firmicutes;c__Clostridia;o__Clostridiales;f__Clostridiaceae;g__Clostridium;s__ k__Bacteria;p__Bacteroidetes;c__Flavobacteriia;o__Flavobacteriales;f__Flavobacteriaceae;g__Capnocytophaga;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodobacterales;f__Rhodobacteraceae;g__Rubellimicrobium;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__cereus k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Legionellales;f__Legionellaceae;g__Legionella;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Sphingomonas;s__wittichii k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Paenibacillaceae;g__Paenibacillus;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Pseudonocardiaceae;g__Pseudonocardia;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Sphingomonas;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Novosphingobium;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Pseudonocardiaceae;g__Pseudonocardia;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Paenibacillaceae;g__Paenibacillus;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Paenibacillaceae;g__Aneurinibacillus;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodobacterales;f__Rhodobacteraceae;g__Rhodobacter;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Kaistobacter;s__ k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ k__Bacteria;p__Bacteroidetes;c__Flavobacteriia;o__Flavobacteriales;f__[Weeksellaceae];g__Chryseobacterium;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Phyllobacteriaceae;g__Mesorhizobium;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Acetobacteraceae;g__Acidiphilium;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__Candidatus Koribacter;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Actinosynnemataceae;g__Kibdelosporangium;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Rhizobiaceae;g__Rhizobium;s__ k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Streptomycetaceae;g__Streptomyces;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Alicyclobacillaceae;g__Alicyclobacillus;s__ k__Bacteria;p__Firmicutes;c__Clostridia;o__Clostridiales;f__Clostridiaceae;g__SMB53;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Rhizobiaceae;g__Amorphomonas;s__oryzae k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__Spirosoma;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Phyllobacteriaceae;g__Mesorhizobium;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Streptomycetaceae;g__Streptomyces;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Alicyclobacillaceae;g__Alicyclobacillus;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__Skermanella;s__ k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__Flavisolibacter;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Actinomycetaceae;g__Actinomyces;s__ k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Neisseriales;f__Neisseriaceae;g__Neisseria;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Lactobacillales;f__Carnobacteriaceae;g__Granulicatella;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Intrasporangiaceae;g__Phycicoccus;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Oxalobacteraceae;g__Cupriavidus;s__ k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Alteromonadales;f__Alteromonadaceae;g__Cellvibrio;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Lactobacillales;f__Streptococcaceae;g__Lactococcus;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Streptomycetaceae;g__Streptacidiphilus;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Phyllobacteriaceae;g__Mesorhizobium;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Actinosynnemataceae;g__Lentzea;s__albidocapillata k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Bdellovibrionales;f__Bdellovibrionaceae;g__Bdellovibrio;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Alicyclobacillaceae;g__Alicyclobacillus;s__ k__Bacteria;p__Nitrospirae;c__Nitrospira;o__Nitrospirales;f__Nitrospiraceae;g__JG37-AG-70;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__Skermanella;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Rhizobiaceae;g__Agrobacterium;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Pseudonocardiaceae;g__Pseudonocardia;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__muralis k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Kaistobacter;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Phyllobacteriaceae;g__Mesorhizobium;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Thermomonosporaceae;g__Actinocorallia;s__ k__Bacteria;p__Bacteroidetes;c__Sphingobacteriia;o__Sphingobacteriales;f__Sphingobacteriaceae;g__Pedobacter;s__ k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__Flavisolibacter;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Kaistobacter;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__Skermanella;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Acetobacteraceae;g__Acetobacter;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Kaistobacter;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Devosia;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Mycobacteriaceae;g__Mycobacterium;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Mycobacteriaceae;g__Mycobacterium;s__celatum k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Burkholderiaceae;g__Burkholderia;s__andropogonis k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Intrasporangiaceae;g__Oryzihumus;s__leptocrescens k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Paenibacillaceae;g__Paenibacillus;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Paenibacillaceae;g__Paenibacillus;s__ k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Pseudomonadales;f__Pseudomonadaceae;g__Pseudomonas;s__ k__Bacteria;p__Cyanobacteria;c__Synechococcophycideae;o__Pseudanabaenales;f__Pseudanabaenaceae;g__Leptolyngbya;s__frigida k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Planococcaceae;g__Paenisporosarcina;s__ k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Xanthomonadaceae;g__Dokdonella;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Glycomycetaceae;g__Glycomyces;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__ k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__Candidatus Koribacter;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Micromonosporaceae;g__Actinoplanes;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Rhodocyclales;f__Rhodocyclaceae;g__K82;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Micromonosporaceae;g__Phytohabitans;s__suffuscus k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Hyphomicrobium;s__zavarzinii k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Streptomycetaceae;g__Streptomyces;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__flexus k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__Flavisolibacter;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__Flavisolibacter;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Paenibacillaceae;g__Paenibacillus;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Mycobacteriaceae;g__Mycobacterium;s__ k__Bacteria;p__Bacteroidetes;c__Flavobacteriia;o__Flavobacteriales;f__[Weeksellaceae];g__Chryseobacterium;s__ k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Oxalobacteraceae;g__Herbaspirillum;s__ k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__Larkinella;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Bradyrhizobiaceae;g__Bradyrhizobium;s__ k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__Chitinophaga;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Pseudonocardiaceae;g__Pseudonocardia;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Novosphingobium;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Paenibacillaceae;g__Paenibacillus;s__ k__Bacteria;p__Verrucomicrobia;c__[Spartobacteria];o__[Chthoniobacterales];f__[Chthoniobacteraceae];g__Candidatus Xiphinematobacter;s__ k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Bdellovibrionales;f__Bdellovibrionaceae;g__Bdellovibrio;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__muralis k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__ k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Burkholderiaceae;g__Burkholderia;s__glathei k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Pseudomonadales;f__Pseudomonadaceae;g__Pseudomonas;s__nitroreducens k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Caulobacterales;f__Caulobacteraceae;g__Phenylobacterium;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Rhodobiaceae;g__Afifella;s__ k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Burkholderiaceae;g__Burkholderia;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Microbacteriaceae;g__Salinibacterium;s__ k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Legionellales;f__Legionellaceae;g__Legionella;s__ k__Bacteria;p__Bacteroidetes;c__Flavobacteriia;o__Flavobacteriales;f__Flavobacteriaceae;g__Flavobacterium;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Microbacteriaceae;g__Agromyces;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Micromonosporaceae;g__Actinoplanes;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Micromonosporaceae;g__Virgisporangium;s__ochraceum k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Mycobacteriaceae;g__Mycobacterium;s__celatum k__Bacteria;p__Verrucomicrobia;c__[Spartobacteria];o__[Chthoniobacterales];f__[Chthoniobacteraceae];g__DA101;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodobacterales;f__Rhodobacteraceae;g__Rubellimicrobium;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Kaistobacter;s__ k__Bacteria;p__Verrucomicrobia;c__[Spartobacteria];o__[Chthoniobacterales];f__[Chthoniobacteraceae];g__DA101;s__ k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__Flavisolibacter;s__ k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__Candidatus Koribacter;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Rhizobiaceae;g__Agrobacterium;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Kaistobacter;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Kaistobacter;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Micromonosporaceae;g__Dactylosporangium;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Pseudonocardiaceae;g__Actinomycetospora;s__ k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__Diaphorobacter;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ k__Bacteria;p__Verrucomicrobia;c__[Spartobacteria];o__[Chthoniobacterales];f__[Chthoniobacteraceae];g__OR-59;s__ k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Oxalobacteraceae;g__Janthinobacterium;s__lividum k__Bacteria;p__Verrucomicrobia;c__[Pedosphaerae];o__[Pedosphaerales];f__[Pedosphaeraceae];g__Pedosphaera;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Rhodobiaceae;g__Afifella;s__ k__Bacteria;p__Actinobacteria;c__Rubrobacteria;o__Rubrobacterales;f__Rubrobacteraceae;g__Rubrobacter;s__ k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__Sediminibacterium;s__ k__Bacteria;p__Bacteroidetes;c__Flavobacteriia;o__Flavobacteriales;f__[Weeksellaceae];g__Chryseobacterium;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Bradyrhizobiaceae;g__Balneimonas;s__ k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__Flavisolibacter;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Bradyrhizobiaceae;g__Bradyrhizobium;s__ k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Desulfuromonadales;f__Geobacteraceae;g__Geobacter;s__ k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__Polyangiaceae;g__Aetherobacter;s__fasciculatus k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Pseudomonadales;f__Pseudomonadaceae;g__Pseudomonas;s__ k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__Adhaeribacter;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Pseudonocardiaceae;g__Pseudonocardia;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Streptomycetaceae;g__Streptomyces;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Planococcaceae;g__Viridibacillus;s__ k__Bacteria;p__Bacteroidetes;c__Sphingobacteriia;o__Sphingobacteriales;f__Sphingobacteriaceae;g__Pedobacter;s__ k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Oxalobacteraceae;g__Collimonas;s__ k__Bacteria;p__Verrucomicrobia;c__[Spartobacteria];o__[Chthoniobacterales];f__[Chthoniobacteraceae];g__DA101;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Sphingomonas;s__wittichii k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Cellulomonadaceae;g__Demequina;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Devosia;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Mycobacteriaceae;g__Mycobacterium;s__celatum k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Pseudomonadales;f__Pseudomonadaceae;g__Pseudomonas;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Caulobacterales;f__Caulobacteraceae;g__Asticcacaulis;s__biprosthecium k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Sphingobium;s__ k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__Segetibacter;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Micromonosporaceae;g__Actinoplanes;s__ k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Sinobacteraceae;g__Steroidobacter;s__ k__Bacteria;p__Verrucomicrobia;c__[Spartobacteria];o__[Chthoniobacterales];f__[Chthoniobacteraceae];g__DA101;s__ k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ k__Bacteria;p__Verrucomicrobia;c__[Spartobacteria];o__[Chthoniobacterales];f__[Chthoniobacteraceae];g__Chthoniobacter;s__ k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Enterobacteriales;f__Enterobacteriaceae;g__Enterobacter;s__ludwigii k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Hyphomicrobium;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Paenibacillaceae;g__Brevibacillus;s__ k__Bacteria;p__Verrucomicrobia;c__Opitutae;o__Opitutales;f__Opitutaceae;g__Opitutus;s__ k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Pseudomonadales;f__Moraxellaceae;g__Acinetobacter;s__ k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__Rhodoferax;s__ k__Bacteria;p__Verrucomicrobia;c__[Spartobacteria];o__[Chthoniobacterales];f__[Chthoniobacteraceae];g__DA101;s__ k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__Ferruginibacter;s__lapsinanis k__Bacteria;p__Bacteroidetes;c__Sphingobacteriia;o__Sphingobacteriales;f__Sphingobacteriaceae;g__Sphingobacterium;s__multivorum k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__Rhodoferax;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Pedomicrobium;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Microbacteriaceae;g__Cryocola;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Bradyrhizobiaceae;g__Bradyrhizobium;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ k__Bacteria;p__Nitrospirae;c__Nitrospira;o__Nitrospirales;f__FW;g__4-29;s__ k__Bacteria;p__Bacteroidetes;c__Flavobacteriia;o__Flavobacteriales;f__Flavobacteriaceae;g__Flavobacterium;s__succinicans k__Bacteria;p__Firmicutes;c__Clostridia;o__Clostridiales;f__Clostridiaceae;g__Clostridium;s__ k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__Nannocystaceae;g__Plesiocystis;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Pseudonocardiaceae;g__Amycolatopsis;s__ k__Bacteria;p__Bacteroidetes;c__Sphingobacteriia;o__Sphingobacteriales;f__Sphingobacteriaceae;g__Pedobacter;s__ k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Enterobacteriales;f__Enterobacteriaceae;g__Serratia;s__marcescens k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Acetobacteraceae;g__Acidocella;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Streptomycetaceae;g__Streptomyces;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Nocardiaceae;g__Rhodococcus;s__ k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Sphingobium;s__ k__Bacteria;p__Bacteroidetes;c__Sphingobacteriia;o__Sphingobacteriales;f__Sphingobacteriaceae;g__Pedobacter;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Planococcaceae;g__Sporosarcina;s__ k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__Comamonas;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Streptomycetaceae;g__Streptomyces;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Frankiaceae;g__Kaistibacter;s__ginsenosidimutans k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Streptomycetaceae;g__Streptomyces;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Methylobacteriaceae;g__Methylobacterium;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Caulobacterales;f__Caulobacteraceae;g__Mycoplana;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Lactobacillales;f__Carnobacteriaceae;g__Granulicatella;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Pseudonocardiaceae;g__Pseudonocardia;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Methylobacteriaceae;g__Methylobacterium;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Microbacteriaceae;g__Microbacterium;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Paenibacillaceae;g__Paenibacillus;s__chondroitinus k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Oxalobacteraceae;g__Janthinobacterium;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__Telmatospirillum;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Planococcaceae;g__Lysinibacillus;s__boronitolerans k__Bacteria;p__Cyanobacteria;c__Nostocophycideae;o__Nostocales;f__Nostocaceae;g__Nostoc;s__ k__Bacteria;p__Bacteroidetes;c__Bacteroidia;o__Bacteroidales;f__Porphyromonadaceae;g__Paludibacter;s__ k__Bacteria;p__Bacteroidetes;c__Flavobacteriia;o__Flavobacteriales;f__Flavobacteriaceae;g__Flavobacterium;s__ k__Bacteria;p__Bacteroidetes;c__Flavobacteriia;o__Flavobacteriales;f__Flavobacteriaceae;g__Flavobacterium;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Xanthobacteraceae;g__Labrys;s__ k__Bacteria;p__Bacteroidetes;c__Flavobacteriia;o__Flavobacteriales;f__Flavobacteriaceae;g__Flavobacterium;s__ k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__Segetibacter;s__ k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__Segetibacter;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Kaistobacter;s__ k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Rhodocyclales;f__Rhodocyclaceae;g__Dechloromonas;s__ k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__Nannocystaceae;g__Plesiocystis;s__ k__Bacteria;p__Firmicutes;c__Clostridia;o__Clostridiales;f__Clostridiaceae;g__Clostridium;s__ k__Bacteria;p__Nitrospirae;c__Nitrospira;o__Nitrospirales;f__FW;g__4-29;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__Flavisolibacter;s__ k__Bacteria;p__Verrucomicrobia;c__[Spartobacteria];o__[Chthoniobacterales];f__[Chthoniobacteraceae];g__DA101;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Sphingobium;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Novosphingobium;s__ k__Bacteria;p__Actinobacteria;c__Rubrobacteria;o__Rubrobacterales;f__Rubrobacteraceae;g__Rubrobacter;s__ k__Bacteria;p__Verrucomicrobia;c__[Spartobacteria];o__[Chthoniobacterales];f__[Chthoniobacteraceae];g__DA101;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Caulobacterales;f__Caulobacteraceae;g__Mycoplana;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Acetobacteraceae;g__Roseococcus;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Bradyrhizobiaceae;g__Bradyrhizobium;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Sphingobium;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Kaistobacter;s__ k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__Flavisolibacter;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Devosia;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Streptomycetaceae;g__Amycolatopsis;s__coloradensis k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__ k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Enterobacteriales;f__Enterobacteriaceae;g__Ewingella;s__americana k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Streptomycetaceae;g__Streptomyces;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Pedomicrobium;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Nocardioidaceae;g__Kribbella;s__ k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Rhodocyclales;f__Rhodocyclaceae;g__Propionivibrio;s__ k__Bacteria;p__Bacteroidetes;c__Sphingobacteriia;o__Sphingobacteriales;f__Sphingobacteriaceae;g__Pedobacter;s__ k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__Polaromonas;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Sphingomonas;s__wittichii k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__ k__Bacteria;p__Cyanobacteria;c__Oscillatoriophycideae;o__Oscillatoriales;f__Phormidiaceae;g__Phormidium;s__ k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__Candidatus Koribacter;s__ k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__Segetibacter;s__ k__Bacteria;p__Cyanobacteria;c__Oscillatoriophycideae;o__Oscillatoriales;f__Phormidiaceae;g__Phormidium;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Pseudonocardiaceae;g__Actinomycetospora;s__ k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__Segetibacter;s__ k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__Segetibacter;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Mycobacteriaceae;g__Mycobacterium;s__ k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Xanthomonadaceae;g__Lysobacter;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Microbacteriaceae;g__Agromyces;s__ k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__Rubrivivax;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Devosia;s__ k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Kaistobacter;s__ k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__Adhaeribacter;s__ k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__Candidatus Koribacter;s__versatilis k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Methylobacteriaceae;g__Methylobacterium;s__ k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Streptomycetaceae;g__Streptomyces;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Kaistobacter;s__ k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Solirubrobacterales;f__Patulibacteraceae;g__Patulibacter;s__ k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__Candidatus Koribacter;s__ k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Legionellales;f__Coxiellaceae;g__Aquicella;s__ k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__Flavisolibacter;s__ k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__Adhaeribacter;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Paenibacillaceae;g__Paenibacillus;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Sinobacteraceae;g__Steroidobacter;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Hyphomicrobium;s__ k__Bacteria;p__Bacteroidetes;c__Flavobacteriia;o__Flavobacteriales;f__Flavobacteriaceae;g__Flavobacterium;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Methylobacteriaceae;g__Methylobacterium;s__adhaesivum k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__Candidatus Koribacter;s__ k__Bacteria;p__Bacteroidetes;c__Bacteroidia;o__Bacteroidales;f__Porphyromonadaceae;g__Porphyromonas;s__endodontalis k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Sporichthyaceae;g__Sporichthya;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Pseudonocardiaceae;g__Pseudonocardia;s__ k__Bacteria;p__Verrucomicrobia;c__[Spartobacteria];o__[Chthoniobacterales];f__[Chthoniobacteraceae];g__Chthoniobacter;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Pseudonocardiaceae;g__Pseudonocardia;s__ k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Rhodocyclales;f__Rhodocyclaceae;g__Uliginosibacterium;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Devosia;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__Telmatospirillum;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Kaistobacter;s__ k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Burkholderiaceae;g__Burkholderia;s__tuberum k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Paenibacillaceae;g__Paenibacillus;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Rhizobiaceae;g__Agrobacterium;s__ k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__Flavisolibacter;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Streptomycetaceae;g__Streptomyces;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Xanthomonadaceae;g__Dokdonella;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Pseudonocardiaceae;g__Saccharopolyspora;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Geodermatophilaceae;g__Geodermatophilus;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Streptomycetaceae;g__Streptacidiphilus;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Micromonosporaceae;g__Longispora;s__fulva k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Caulobacterales;f__Caulobacteraceae;g__Phenylobacterium;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Paenibacillaceae;g__Paenibacillus;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Kaistobacter;s__ k__Bacteria;p__Cyanobacteria;c__Chloroplast;o__Chlorophyta;f__Trebouxiophyceae;g__Coccomyxa;s__solorinae-saccatae k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__Haliangiaceae;g__Haliangium;s__ k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Desulfuromonadales;f__Geobacteraceae;g__Geobacter;s__ k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Legionellales;f__Legionellaceae;g__Legionella;s__pneumophila k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Geodermatophilaceae;g__Geodermatophilus;s__obscurus k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Bdellovibrionales;f__Bdellovibrionaceae;g__Bdellovibrio;s__ k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__Ramlibacter;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Phyllobacteriaceae;g__Aminobacter;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Micrococcaceae;g__Arthrobacter;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Rhizobiaceae;g__Rhizobium;s__ k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Gallionellales;f__Gallionellaceae;g__Gallionella;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ k__Bacteria;p__Firmicutes;c__Clostridia;o__Clostridiales;f__Clostridiaceae;g__Alkaliphilus;s__transvaalensis k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Legionellales;f__Legionellaceae;g__Legionella;s__ k__Bacteria;p__Verrucomicrobia;c__[Spartobacteria];o__[Chthoniobacterales];f__[Chthoniobacteraceae];g__DA101;s__ k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__Flavisolibacter;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Micrococcaceae;g__Arthrobacter;s__ k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Legionellales;f__Coxiellaceae;g__Aquicella;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Propionibacteriaceae;g__Propionibacterium;s__acnes k__Bacteria;p__Bacteroidetes;c__Flavobacteriia;o__Flavobacteriales;f__[Weeksellaceae];g__Elizabethkingia;s__meningoseptica k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__firmus k__Bacteria;p__Bacteroidetes;c__Sphingobacteriia;o__Sphingobacteriales;f__Sphingobacteriaceae;g__Pedobacter;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Streptomycetaceae;g__Streptomyces;s__ k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Rhodocyclales;f__Rhodocyclaceae;g__Dechloromonas;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__Rubrivivax;s__ k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__Methylibium;s__ k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Xanthomonadaceae;g__Dokdonella;s__ k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__Flavisolibacter;s__ k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Bdellovibrionales;f__Bdellovibrionaceae;g__Bdellovibrio;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Microbacteriaceae;g__Agromyces;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Caulobacterales;f__Caulobacteraceae;g__Caulobacter;s__henricii k__Bacteria;p__Actinobacteria;c__Rubrobacteria;o__Rubrobacterales;f__Rubrobacteraceae;g__Rubrobacter;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Devosia;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Devosia;s__ k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__[Amoebophilaceae];g__Candidatus Amoebophilus;s__ k__Bacteria;p__Firmicutes;c__Clostridia;o__Clostridiales;f__Clostridiaceae;g__Caloramator;s__ k__Bacteria;p__Bacteroidetes;c__Bacteroidia;o__Bacteroidales;f__Porphyromonadaceae;g__Paludibacter;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__cereus k__Bacteria;p__Actinobacteria;c__Rubrobacteria;o__Rubrobacterales;f__Rubrobacteraceae;g__Rubrobacter;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__ k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Rhodobiaceae;g__Afifella;s__ k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__Candidatus Koribacter;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Rhizobiaceae;g__Rhizobium;s__leguminosarum k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Hyphomicrobium;s__ k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Lactobacillales;f__Lactobacillaceae;g__Lactobacillus;s__iners k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Lactobacillales;f__Carnobacteriaceae;g__Granulicatella;s__ k__Bacteria;p__Firmicutes;c__Clostridia;o__Clostridiales;f__Peptococcaceae;g__Desulfosporosinus;s__meridiei k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodobacterales;f__Rhodobacteraceae;g__Rubellimicrobium;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Sphingomonas;s__wittichii k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Alicyclobacillaceae;g__Alicyclobacillus;s__ k__Bacteria;p__Verrucomicrobia;c__[Spartobacteria];o__[Chthoniobacterales];f__[Chthoniobacteraceae];g__DA101;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Nocardioidaceae;g__Nocardioides;s__dilutus k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Planococcaceae;g__Planococcus;s__maritimus k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__Methylibium;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Phyllobacteriaceae;g__Aminobacter;s__ k__Bacteria;p__Verrucomicrobia;c__[Spartobacteria];o__[Chthoniobacterales];f__[Chthoniobacteraceae];g__DA101;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Planococcaceae;g__Sporosarcina;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Sphingobium;s__ k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__ k__Bacteria;p__Firmicutes;c__Clostridia;o__Clostridiales;f__Clostridiaceae;g__Clostridium;s__perfringens k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__Xylophilus;s__ampelinus k__Bacteria;p__Bacteroidetes;c__Flavobacteriia;o__Flavobacteriales;f__Flavobacteriaceae;g__Flavobacterium;s__ k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Legionellales;f__Legionellaceae;g__Legionella;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Streptomycetaceae;g__Streptomyces;s__ k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__Paucibacter;s__ k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Bdellovibrionales;f__Bdellovibrionaceae;g__Bdellovibrio;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Cellulomonadaceae;g__Cellulomonas;s__ k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Nocardioidaceae;g__Nocardioides;s__ k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ k__Bacteria;p__Bacteroidetes;c__Flavobacteriia;o__Flavobacteriales;f__Flavobacteriaceae;g__Flavobacterium;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Kaistobacter;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Sphingobium;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Blastomonas;s__ k__Bacteria;p__Bacteroidetes;c__Sphingobacteriia;o__Sphingobacteriales;f__Sphingobacteriaceae;g__Pedobacter;s__ k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ k__Bacteria;p__Bacteroidetes;c__Flavobacteriia;o__Flavobacteriales;f__[Weeksellaceae];g__Chryseobacterium;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Lactobacillales;f__Streptococcaceae;g__Streptococcus;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Rhizobiaceae;g__Agrobacterium;s__ k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__Mitsuaria;s__chitosanitabida k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__Rubrivivax;s__ k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__Candidatus Koribacter;s__versatilis k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Pedomicrobium;s__ k__Bacteria;p__Nitrospirae;c__Nitrospira;o__Nitrospirales;f__Nitrospiraceae;g__Nitrospira;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Streptomycetaceae;g__Streptomyces;s__ k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__Methylibium;s__ k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Rhodocyclales;f__Rhodocyclaceae;g__Dechloromonas;s__ k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Paenibacillaceae;g__Paenibacillus;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__Rhodocytophaga;s__ k__Bacteria;p__Verrucomicrobia;c__[Spartobacteria];o__[Chthoniobacterales];f__[Chthoniobacteraceae];g__DA101;s__ k__Bacteria;p__Verrucomicrobia;c__[Spartobacteria];o__[Chthoniobacterales];f__[Chthoniobacteraceae];g__DA101;s__ k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Oxalobacteraceae;g__Cupriavidus;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Streptomycetaceae;g__Streptomyces;s__ k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Legionellales;f__Coxiellaceae;g__Aquicella;s__ k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Pseudomonadales;f__Pseudomonadaceae;g__Pseudomonas;s__mendocina k__Bacteria;p__Bacteroidetes;c__Flavobacteriia;o__Flavobacteriales;f__Flavobacteriaceae;g__Flavobacterium;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Sphingomonas;s__ k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__Hymenobacter;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Paenibacillaceae;g__Paenibacillus;s__ k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Burkholderiaceae;g__Burkholderia;s__glathei k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Corynebacteriaceae;g__Corynebacterium;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Rhodobiaceae;g__Afifella;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Lactobacillales;f__Streptococcaceae;g__Streptococcus;s__ k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__[Entotheonellales];f__[Entotheonellaceae];g__Candidatus Entotheonella;s__ k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Xanthomonadaceae;g__Stenotrophomonas;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Lactobacillales;f__Lactobacillaceae;g__Lactobacillus;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Devosia;s__ k__Bacteria;p__Nitrospirae;c__Nitrospira;o__Nitrospirales;f__FW;g__4-29;s__ k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__Chitinophaga;s__arvensicola k__Bacteria;p__Verrucomicrobia;c__[Spartobacteria];o__[Chthoniobacterales];f__[Chthoniobacteraceae];g__DA101;s__ k__Bacteria;p__Verrucomicrobia;c__[Spartobacteria];o__[Chthoniobacterales];f__[Chthoniobacteraceae];g__DA101;s__ k__Bacteria;p__Verrucomicrobia;c__[Spartobacteria];o__[Chthoniobacterales];f__[Chthoniobacteraceae];g__Ellin506;s__ k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Xanthomonadaceae;g__Lysobacter;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ k__Bacteria;p__Cyanobacteria;c__Synechococcophycideae;o__Pseudanabaenales;f__Pseudanabaenaceae;g__Leptolyngbya;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Xanthobacteraceae;g__Labrys;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Nocardiaceae;g__Rhodococcus;s__ k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Xanthomonadaceae;g__Pseudoxanthomonas;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Methylobacteriaceae;g__Methylobacterium;s__ k__Bacteria;p__Bacteroidetes;c__Sphingobacteriia;o__Sphingobacteriales;f__Sphingobacteriaceae;g__Pedobacter;s__ k__Bacteria;p__Verrucomicrobia;c__[Spartobacteria];o__[Chthoniobacterales];f__[Chthoniobacteraceae];g__Chthoniobacter;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Novosphingobium;s__ k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__Ramlibacter;s__ k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Bdellovibrionales;f__Bdellovibrionaceae;g__Bdellovibrio;s__ k__Bacteria;p__Verrucomicrobia;c__Opitutae;o__Opitutales;f__Opitutaceae;g__Opitutus;s__ k__Bacteria;p__Bacteroidetes;c__Flavobacteriia;o__Flavobacteriales;f__[Weeksellaceae];g__Chryseobacterium;s__ k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__Segetibacter;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Rhizobiaceae;g__Agrobacterium;s__ k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__Limnohabitans;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Sphingobium;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Nocardiaceae;g__Rhodococcus;s__ k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Desulfuromonadales;f__Geobacteraceae;g__Geobacter;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Sphingomonas;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Caulobacterales;f__Caulobacteraceae;g__Caulobacter;s__ k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__Methylibium;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Mycobacteriaceae;g__Mycobacterium;s__ k__Bacteria;p__Armatimonadetes;c__Chthonomonadetes;o__Chthonomonadales;f__Chthonomonadaceae;g__Chthonomonas;s__ k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__Spirosoma;s__ k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__Hydrogenophaga;s__ k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Pseudomonadales;f__Pseudomonadaceae;g__Pseudomonas;s__stutzeri k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Mycobacteriaceae;g__Mycobacterium;s__ k__Bacteria;p__Nitrospirae;c__Nitrospira;o__Nitrospirales;f__FW;g__4-29;s__ k__Bacteria;p__Verrucomicrobia;c__[Spartobacteria];o__[Chthoniobacterales];f__[Chthoniobacteraceae];g__DA101;s__ k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__Flavisolibacter;s__ k__Bacteria;p__Verrucomicrobia;c__[Pedosphaerae];o__[Pedosphaerales];f__[Pedosphaeraceae];g__Pedosphaera;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Mycobacteriaceae;g__Mycobacterium;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Rhodobiaceae;g__Afifella;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Mycobacteriaceae;g__Mycobacterium;s__ k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__Flavisolibacter;s__ k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__Segetibacter;s__ k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Alteromonadales;f__Alteromonadaceae;g__Cellvibrio;s__ k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Acidobacteriaceae;g__Edaphobacter;s__modestum k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Kaistobacter;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Sphingobium;s__xenophagum k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__Ramlibacter;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Cellulomonadaceae;g__Actinotalea;s__ k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Desulfuromonadales;f__Geobacteraceae;g__Geobacter;s__ k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Pseudomonadales;f__Pseudomonadaceae;g__Pseudomonas;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Xanthobacteraceae;g__Labrys;s__ k__Bacteria;p__Actinobacteria;c__Rubrobacteria;o__Rubrobacterales;f__Rubrobacteraceae;g__Rubrobacter;s__ k__Bacteria;p__Bacteroidetes;c__Flavobacteriia;o__Flavobacteriales;f__Flavobacteriaceae;g__Flavobacterium;s__ k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Oxalobacteraceae;g__Janthinobacterium;s__ k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Acidobacteriaceae;g__Edaphobacter;s__modestum k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Devosia;s__ k__Bacteria;p__Tenericutes;c__Mollicutes;o__Anaeroplasmatales;f__Anaeroplasmataceae;g__Asteroleplasma;s__ k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__Ramlibacter;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Alicyclobacillaceae;g__Alicyclobacillus;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__Telmatospirillum;s__ k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__Flavisolibacter;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Alicyclobacillaceae;g__Alicyclobacillus;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Devosia;s__ k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Burkholderiaceae;g__Burkholderia;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Kaistobacter;s__ k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Alcaligenaceae;g__Achromobacter;s__ k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Pseudomonadales;f__Pseudomonadaceae;g__Pseudomonas;s__stutzeri k__Bacteria;p__Verrucomicrobia;c__[Spartobacteria];o__[Chthoniobacterales];f__[Chthoniobacteraceae];g__Candidatus Xiphinematobacter;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__Skermanella;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Acetobacteraceae;g__Acidisoma;s__ k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Pseudomonadales;f__Pseudomonadaceae;g__Pseudomonas;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Kineosporiaceae;g__Kineosporia;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Pseudonocardiaceae;g__Pseudonocardia;s__ k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Pseudomonadales;f__Moraxellaceae;g__Acinetobacter;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Rhizobiaceae;g__Rhizobium;s__ k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Legionellales;f__Coxiellaceae;g__Aquicella;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Lactobacillales;f__Streptococcaceae;g__Streptococcus;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Streptomycetaceae;g__Kitasatospora;s__ k__Bacteria;p__Nitrospirae;c__Nitrospira;o__Nitrospirales;f__[Thermodesulfovibrionaceae];g__GOUTA19;s__ k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Nocardiaceae;g__Nocardia;s__ k__Bacteria;p__Actinobacteria;c__Rubrobacteria;o__Rubrobacterales;f__Rubrobacteraceae;g__Rubrobacter;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Micromonosporaceae;g__Virgisporangium;s__ochraceum k__Bacteria;p__Actinobacteria;c__Rubrobacteria;o__Rubrobacterales;f__Rubrobacteraceae;g__Rubrobacter;s__ k__Bacteria;p__Planctomycetes;c__Planctomycetia;o__Gemmatales;f__Gemmataceae;g__Gemmata;s__ k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Bdellovibrionales;f__Bdellovibrionaceae;g__Bdellovibrio;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__ k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Rhodocyclales;f__Rhodocyclaceae;g__Zoogloea;s__ k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__Candidatus Koribacter;s__ k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Sinobacteraceae;g__Hydrocarboniphaga;s__ k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__Pontibacter;s__ k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__Chitinophaga;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Promicromonosporaceae;g__Cellulosimicrobium;s__ k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__Polyangiaceae;g__Sorangium;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Sphingomonas;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Kaistobacter;s__ k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__Rubrivivax;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Devosia;s__ k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__Limnohabitans;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Microbacteriaceae;g__Mycetocola;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ k__Bacteria;p__Verrucomicrobia;c__[Spartobacteria];o__[Chthoniobacterales];f__[Chthoniobacteraceae];g__DA101;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Sphingomonas;s__ k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Desulfuromonadales;f__Geobacteraceae;g__Geobacter;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodobacterales;f__Rhodobacteraceae;g__Rhodobacter;s__ k__Bacteria;p__Firmicutes;c__Clostridia;o__Clostridiales;f__Veillonellaceae;g__Pelosinus;s__ k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ k__Bacteria;p__Firmicutes;c__Clostridia;o__Clostridiales;f__Clostridiaceae;g__Clostridium;s__ k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Oxalobacteraceae;g__Massilia;s__haematophila k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Micromonosporaceae;g__Actinoplanes;s__ k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Desulfuromonadales;f__Geobacteraceae;g__Geobacter;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Rhizobiaceae;g__Rhizobium;s__ k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Desulfuromonadales;f__Geobacteraceae;g__Geobacter;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Streptomycetaceae;g__Streptomyces;s__ k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__Ramlibacter;s__ k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__Hymenobacter;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Cellulomonadaceae;g__Demequina;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__Skermanella;s__ k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__Polyangiaceae;g__Sorangium;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rickettsiales;f__mitochondria;g__Syntrichia;s__ruralis k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Xanthomonadaceae;g__Rhodanobacter;s__lindaniclasticus k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Planococcaceae;g__Sporosarcina;s__ k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Bdellovibrionales;f__Bdellovibrionaceae;g__Bdellovibrio;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Paenibacillaceae;g__Paenibacillus;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Sphingomonas;s__wittichii k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Paenibacillaceae;g__Paenibacillus;s__ k__Bacteria;p__Firmicutes;c__Clostridia;o__Clostridiales;f__Clostridiaceae;g__Clostridium;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Planococcaceae;g__Sporosarcina;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Novosphingobium;s__ k__Bacteria;p__Nitrospirae;c__Nitrospira;o__Nitrospirales;f__Nitrospiraceae;g__JG37-AG-70;s__ k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Rhodocyclales;f__Rhodocyclaceae;g__Dok59;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Rhizobiaceae;g__Agrobacterium;s__ k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Burkholderiaceae;g__Burkholderia;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Streptomycetaceae;g__Streptomyces;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Planococcaceae;g__Planomicrobium;s__ k__Bacteria;p__Acidobacteria;c__Holophagae;o__Holophagales;f__Holophagaceae;g__Geothrix;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Sphingomonas;s__wittichii k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__Dyadobacter;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Lactobacillales;f__Streptococcaceae;g__Streptococcus;s__ k__Bacteria;p__Bacteroidetes;c__Flavobacteriia;o__Flavobacteriales;f__Flavobacteriaceae;g__Flavobacterium;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Alicyclobacillaceae;g__Alicyclobacillus;s__ k__Bacteria;p__Bacteroidetes;c__Flavobacteriia;o__Flavobacteriales;f__[Weeksellaceae];g__Chryseobacterium;s__ k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__Adhaeribacter;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__Variovorax;s__paradoxus k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__Myxococcaceae;g__Anaeromyxobacter;s__ k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__Hymenobacter;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Streptomycetaceae;g__Streptomyces;s__reticuliscabiei k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Caulobacterales;f__Caulobacteraceae;g__Phenylobacterium;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Planococcaceae;g__Lysinibacillus;s__massiliensis k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Devosia;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Alicyclobacillaceae;g__Alicyclobacillus;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Streptomycetaceae;g__Streptomyces;s__purpeofuscus k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__Skermanella;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Kaistobacter;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__Skermanella;s__ k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Legionellales;f__Coxiellaceae;g__Aquicella;s__ k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Planococcaceae;g__Lysinibacillus;s__boronitolerans k__Bacteria;p__Firmicutes;c__Clostridia;o__Clostridiales;f__Veillonellaceae;g__Veillonella;s__parvula k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Oxalobacteraceae;g__Cupriavidus;s__ k__Bacteria;p__Nitrospirae;c__Nitrospira;o__Nitrospirales;f__Nitrospiraceae;g__Nitrospira;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Microbacteriaceae;g__Microbacterium;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Streptomycetaceae;g__Streptomyces;s__lanatus k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Planococcaceae;g__Rummeliibacillus;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Rhizobiaceae;g__Rhizobium;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Microbacteriaceae;g__Microbacterium;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Acetobacteraceae;g__Roseomonas;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ k__Bacteria;p__Bacteroidetes;c__Sphingobacteriia;o__Sphingobacteriales;f__Sphingobacteriaceae;g__Pedobacter;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__ k__Bacteria;p__Firmicutes;c__Clostridia;o__Clostridiales;f__Clostridiaceae;g__Caloramator;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Acidobacteriaceae;g__Edaphobacter;s__ k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ k__Bacteria;p__Nitrospirae;c__Nitrospira;o__Nitrospirales;f__Nitrospiraceae;g__Nitrospira;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Xanthobacteraceae;g__Labrys;s__ k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Bdellovibrionales;f__Bdellovibrionaceae;g__Bdellovibrio;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Pseudonocardiaceae;g__Pseudonocardia;s__ k__Bacteria;p__Bacteroidetes;c__Flavobacteriia;o__Flavobacteriales;f__Flavobacteriaceae;g__Flavobacterium;s__ k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ k__Bacteria;p__Bacteroidetes;c__Sphingobacteriia;o__Sphingobacteriales;f__Sphingobacteriaceae;g__Pedobacter;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Bogoriellaceae;g__Georgenia;s__ k__Bacteria;p__Spirochaetes;c__Spirochaetes;o__Spirochaetales;f__Spirochaetaceae;g__Spirochaeta;s__aurantia k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Rhizobiaceae;g__Agrobacterium;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Devosia;s__ k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__Variovorax;s__paradoxus k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__Polaromonas;s__ k__Bacteria;p__Firmicutes;c__Clostridia;o__Clostridiales;f__Veillonellaceae;g__Pelosinus;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Pedomicrobium;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Xanthobacteraceae;g__Labrys;s__ k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Burkholderiaceae;g__Burkholderia;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Sphingomonas;s__wittichii k__Bacteria;p__Firmicutes;c__Clostridia;o__Clostridiales;f__Ruminococcaceae;g__Clostridium;s__hungatei k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Microbacteriaceae;g__Frigoribacterium;s__ k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__Hymenobacter;s__ k__Bacteria;p__Gemmatimonadetes;c__Gemmatimonadetes;o__Gemmatimonadales;f__Gemmatimonadaceae;g__Gemmatimonas;s__ k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__Cytophaga;s__ k__Bacteria;p__Bacteroidetes;c__Flavobacteriia;o__Flavobacteriales;f__Flavobacteriaceae;g__Flavobacterium;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Sphingomonas;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Microbacteriaceae;g__Agromyces;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Xanthobacteraceae;g__Labrys;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Planococcaceae;g__Planomicrobium;s__ k__Bacteria;p__Cyanobacteria;c__Synechococcophycideae;o__Pseudanabaenales;f__Pseudanabaenaceae;g__Leptolyngbya;s__ k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__Variovorax;s__ k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Desulfuromonadales;f__Geobacteraceae;g__Geobacter;s__ k__Bacteria;p__Verrucomicrobia;c__Opitutae;o__Opitutales;f__Opitutaceae;g__Opitutus;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Phyllobacteriaceae;g__Mesorhizobium;s__ k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__Hymenobacter;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Kaistobacter;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Methylocystaceae;g__Methylosinus;s__ k__Bacteria;p__Firmicutes;c__Clostridia;o__Clostridiales;f__Clostridiaceae;g__Clostridium;s__ k__Bacteria;p__Nitrospirae;c__Nitrospira;o__Nitrospirales;f__Nitrospiraceae;g__JG37-AG-70;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__ k__Bacteria;p__Cyanobacteria;c__Synechococcophycideae;o__Pseudanabaenales;f__Pseudanabaenaceae;g__Leptolyngbya;s__ k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ k__Bacteria;p__Verrucomicrobia;c__Opitutae;o__Opitutales;f__Opitutaceae;g__Opitutus;s__ k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Sinobacteraceae;g__Nevskia;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__Skermanella;s__ k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__Polyangiaceae;g__Byssovorax;s__cruenta k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__Adhaeribacter;s__ k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Enterobacteriales;f__Enterobacteriaceae;g__Escherichia;s__coli k__Bacteria;p__Actinobacteria;c__Rubrobacteria;o__Rubrobacterales;f__Rubrobacteraceae;g__Rubrobacter;s__ k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Legionellales;f__Coxiellaceae;g__Rickettsiella;s__ k__Bacteria;p__Verrucomicrobia;c__[Spartobacteria];o__[Chthoniobacterales];f__[Chthoniobacteraceae];g__OR-59;s__ k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__Flavisolibacter;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Kaistobacter;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Pseudonocardiaceae;g__Pseudonocardia;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Bradyrhizobiaceae;g__Balneimonas;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Streptomycetaceae;g__Streptomyces;s__scabrisporus k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Oxalobacteraceae;g__Cupriavidus;s__ k__Bacteria;p__Actinobacteria;c__Rubrobacteria;o__Rubrobacterales;f__Rubrobacteraceae;g__Rubrobacter;s__ k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Pseudomonadales;f__Moraxellaceae;g__Acinetobacter;s__guillouiae k__Bacteria;p__Verrucomicrobia;c__[Spartobacteria];o__[Chthoniobacterales];f__[Chthoniobacteraceae];g__DA101;s__ k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__Segetibacter;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Kaistobacter;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__ k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ k__Bacteria;p__Nitrospirae;c__Nitrospira;o__Nitrospirales;f__Nitrospiraceae;g__JG37-AG-70;s__ k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__Comamonas;s__ k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__Dyadobacter;s__ k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Desulfuromonadales;f__Geobacteraceae;g__Geobacter;s__ k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Oxalobacteraceae;g__Janthinobacterium;s__ k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Sinobacteraceae;g__Steroidobacter;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Pseudonocardiaceae;g__Pseudonocardia;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Sphingopyxis;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Actinosynnemataceae;g__Kibdelosporangium;s__ k__Bacteria;p__Cyanobacteria;c__Oscillatoriophycideae;o__Oscillatoriales;f__Phormidiaceae;g__Phormidium;s__ k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Oxalobacteraceae;g__Janthinobacterium;s__ k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Legionellales;f__Coxiellaceae;g__Aquicella;s__ k__Bacteria;p__Verrucomicrobia;c__[Spartobacteria];o__[Chthoniobacterales];f__[Chthoniobacteraceae];g__DA101;s__ k__Bacteria;p__Bacteroidetes;c__Flavobacteriia;o__Flavobacteriales;f__Flavobacteriaceae;g__Flavobacterium;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Pedomicrobium;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Devosia;s__ k__Bacteria;p__Verrucomicrobia;c__[Spartobacteria];o__[Chthoniobacterales];f__[Chthoniobacteraceae];g__Candidatus Xiphinematobacter;s__ k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Sphingobium;s__ k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Oxalobacteraceae;g__Ralstonia;s__ k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Neisseriales;f__Neisseriaceae;g__Kingella;s__denitrificans k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Mycobacteriaceae;g__Mycobacterium;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Rhodobiaceae;g__Afifella;s__ k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Burkholderiaceae;g__Burkholderia;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Pseudonocardiaceae;g__Pseudonocardia;s__ k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Oxalobacteraceae;g__Janthinobacterium;s__ k__Bacteria;p__Bacteroidetes;c__Flavobacteriia;o__Flavobacteriales;f__[Weeksellaceae];g__Chryseobacterium;s__ k__Bacteria;p__Verrucomicrobia;c__[Spartobacteria];o__[Chthoniobacterales];f__[Chthoniobacteraceae];g__DA101;s__ k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__Candidatus Koribacter;s__ k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__Candidatus Koribacter;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Rhodobiaceae;g__Afifella;s__ k__Bacteria;p__Bacteroidetes;c__Sphingobacteriia;o__Sphingobacteriales;f__Sphingobacteriaceae;g__Pedobacter;s__ k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Pseudomonadales;f__Pseudomonadaceae;g__Pseudomonas;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Paenibacillaceae;g__Paenibacillus;s__ k__Bacteria;p__Bacteroidetes;c__Flavobacteriia;o__Flavobacteriales;f__Flavobacteriaceae;g__Flavobacterium;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Novosphingobium;s__ k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rickettsiales;f__mitochondria;g__Carludovica;s__palmata k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Micrococcaceae;g__Arthrobacter;s__nitroguajacolicus k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Burkholderiaceae;g__Burkholderia;s__ k__Bacteria;p__Bacteroidetes;c__Flavobacteriia;o__Flavobacteriales;f__Flavobacteriaceae;g__Flavobacterium;s__ k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__Adhaeribacter;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Sporolactobacillaceae;g__Pullulanibacillus;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Cellulomonadaceae;g__Cellulomonas;s__ k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Legionellales;f__Coxiellaceae;g__Aquicella;s__ k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__Sediminibacterium;s__ k__Bacteria;p__Firmicutes;c__Clostridia;o__Clostridiales;f__Clostridiaceae;g__Clostridium;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__[Exiguobacteraceae];g__Exiguobacterium;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__ k__Bacteria;p__Bacteroidetes;c__Sphingobacteriia;o__Sphingobacteriales;f__Sphingobacteriaceae;g__Pedobacter;s__cryoconitis k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__ k__Bacteria;p__Bacteroidetes;c__Flavobacteriia;o__Flavobacteriales;f__Flavobacteriaceae;g__Flavobacterium;s__ k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Enterobacteriales;f__Enterobacteriaceae;g__Erwinia;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Sphingomonas;s__wittichii k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Oxalobacteraceae;g__Herminiimonas;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Sphingomonas;s__wittichii k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Sphingomonas;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Bradyrhizobiaceae;g__Balneimonas;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Acetobacteraceae;g__Acidisoma;s__ k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Oxalobacteraceae;g__Herminiimonas;s__ k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__Flavisolibacter;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Micromonosporaceae;g__Catellatospora;s__ k__Bacteria;p__Firmicutes;c__Clostridia;o__Clostridiales;f__Lachnospiraceae;g__Coprococcus;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Mycobacteriaceae;g__Mycobacterium;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ k__Bacteria;p__Bacteroidetes;c__Flavobacteriia;o__Flavobacteriales;f__Flavobacteriaceae;g__Flavobacterium;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Paenibacillaceae;g__Paenibacillus;s__chondroitinus k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Bradyrhizobiaceae;g__Bradyrhizobium;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Nocardioidaceae;g__Nocardioides;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Microbacteriaceae;g__Microbacterium;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Micromonosporaceae;g__Dactylosporangium;s__ k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Oxalobacteraceae;g__Janthinobacterium;s__lividum k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Thermoactinomycetaceae;g__Shimazuella;s__ k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Burkholderiaceae;g__Burkholderia;s__ k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__Candidatus Koribacter;s__ k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Sinobacteraceae;g__Steroidobacter;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Mycobacteriaceae;g__Mycobacterium;s__ k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__Hymenobacter;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Mycobacteriaceae;g__Mycobacterium;s__celatum k__Bacteria;p__Bacteroidetes;c__Flavobacteriia;o__Flavobacteriales;f__Flavobacteriaceae;g__Flavobacterium;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Devosia;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Pseudonocardiaceae;g__Pseudonocardia;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Planococcaceae;g__Sporosarcina;s__ k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Xanthomonadaceae;g__Dokdonella;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Paenibacillaceae;g__Paenibacillus;s__chondroitinus k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Pseudonocardiaceae;g__Pseudonocardia;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Rhodobiaceae;g__Afifella;s__ k__Bacteria;p__Firmicutes;c__Clostridia;o__Clostridiales;f__Clostridiaceae;g__Clostridium;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__Candidatus Koribacter;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Planococcaceae;g__Planomicrobium;s__ k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__Paucibacter;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Microbacteriaceae;g__Salinibacterium;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Mycobacteriaceae;g__Mycobacterium;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Micrococcaceae;g__Arthrobacter;s__ k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__Limnohabitans;s__ k__Bacteria;p__Bacteroidetes;c__Flavobacteriia;o__Flavobacteriales;f__Flavobacteriaceae;g__Flavobacterium;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Actinosynnemataceae;g__Saccharothrix;s__ k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Pseudomonadales;f__Pseudomonadaceae;g__Pseudomonas;s__ k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__Hymenobacter;s__ k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Pseudomonadales;f__Pseudomonadaceae;g__Pseudomonas;s__ k__Bacteria;p__Bacteroidetes;c__Flavobacteriia;o__Flavobacteriales;f__Flavobacteriaceae;g__Flavobacterium;s__ k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Devosia;s__ k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Pseudomonadales;f__Pseudomonadaceae;g__Pseudomonas;s__ k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Streptomycetaceae;g__Streptomyces;s__axinellae k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__Ramlibacter;s__ k__Bacteria;p__Nitrospirae;c__Nitrospira;o__Nitrospirales;f__Nitrospiraceae;g__Nitrospira;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Paenibacillaceae;g__Paenibacillus;s__ k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__Myxococcaceae;g__Anaeromyxobacter;s__ k__Bacteria;p__[Thermi];c__Deinococci;o__Deinococcales;f__Trueperaceae;g__Truepera;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Paenibacillaceae;g__Paenibacillus;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Paenibacillaceae;g__Paenibacillus;s__ k__Bacteria;p__Firmicutes;c__Clostridia;o__Clostridiales;f__Lachnospiraceae;g__Coprococcus;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Microbacteriaceae;g__Agromyces;s__ k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Burkholderiaceae;g__Burkholderia;s__ k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__Sporocytophaga;s__ k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__Segetibacter;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Nocardioidaceae;g__Aeromicrobium;s__ k__Bacteria;p__Bacteroidetes;c__Flavobacteriia;o__Flavobacteriales;f__Flavobacteriaceae;g__Flavobacterium;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Planococcaceae;g__Solibacillus;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Bradyrhizobiaceae;g__Bradyrhizobium;s__ k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Legionellales;f__Coxiellaceae;g__Aquicella;s__ k__Bacteria;p__Verrucomicrobia;c__[Spartobacteria];o__[Chthoniobacterales];f__[Chthoniobacteraceae];g__DA101;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Streptomycetaceae;g__Streptomyces;s__ k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__Segetibacter;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__foraminis k__Bacteria;p__Firmicutes;c__Clostridia;o__Clostridiales;f__Clostridiaceae;g__SMB53;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Streptomycetaceae;g__Streptomyces;s__ k__Bacteria;p__Cyanobacteria;c__Nostocophycideae;o__Nostocales;f__Nostocaceae;g__Tolypothrix;s__distorta k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Sphingomonas;s__changbaiensis k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Devosia;s__ k__Bacteria;p__Nitrospirae;c__Nitrospira;o__Nitrospirales;f__Nitrospiraceae;g__Nitrospira;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Hyphomicrobium;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Bdellovibrionales;f__Bdellovibrionaceae;g__Bdellovibrio;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ k__Bacteria;p__Firmicutes;c__Clostridia;o__Clostridiales;f__Ruminococcaceae;g__Ethanoligenens;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Bradyrhizobiaceae;g__Balneimonas;s__ k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__Flavisolibacter;s__ k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__Adhaeribacter;s__ k__Bacteria;p__Firmicutes;c__Clostridia;o__Clostridiales;f__Clostridiaceae;g__Clostridium;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Sphingomonas;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Streptomycetaceae;g__Streptomyces;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Caulobacterales;f__Caulobacteraceae;g__Phenylobacterium;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Rhizobiaceae;g__Agrobacterium;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__Pelomonas;s__ k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__Adhaeribacter;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Kineosporiaceae;g__Kineococcus;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Mycobacteriaceae;g__Mycobacterium;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Caulobacterales;f__Caulobacteraceae;g__Phenylobacterium;s__ k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Pseudomonadales;f__Pseudomonadaceae;g__Pseudomonas;s__ k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__Comamonas;s__ k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Nitrosomonadales;f__Nitrosomonadaceae;g__Nitrosovibrio;s__tenuis k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Syntrophobacterales;f__Syntrophaceae;g__Syntrophus;s__ k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__Hymenobacter;s__ k__Bacteria;p__Bacteroidetes;c__Flavobacteriia;o__Flavobacteriales;f__Flavobacteriaceae;g__Flavobacterium;s__succinicans k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Pseudomonadales;f__Pseudomonadaceae;g__Pseudomonas;s__ k__Bacteria;p__Bacteroidetes;c__Flavobacteriia;o__Flavobacteriales;f__Flavobacteriaceae;g__Flavobacterium;s__ k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Legionellales;f__Coxiellaceae;g__Aquicella;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Kaistobacter;s__ k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Alicyclobacillaceae;g__Alicyclobacillus;s__pomorum k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__Limnohabitans;s__ k__Bacteria;p__Firmicutes;c__Clostridia;o__Clostridiales;f__Clostridiaceae;g__Clostridium;s__hiranonis k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Sphingomonas;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Microbacteriaceae;g__Microbacterium;s__chocolatum k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Bradyrhizobiaceae;g__Bradyrhizobium;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Rhodobiaceae;g__Afifella;s__ k__Bacteria;p__Verrucomicrobia;c__[Spartobacteria];o__[Chthoniobacterales];f__[Chthoniobacteraceae];g__DA101;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Micromonosporaceae;g__Actinoplanes;s__durhamensis k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Rhodocyclales;f__Rhodocyclaceae;g__Dechloromonas;s__ k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Legionellales;f__Coxiellaceae;g__Aquicella;s__ k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Pseudomonadales;f__Pseudomonadaceae;g__Pseudomonas;s__ k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Solirubrobacterales;f__Solirubrobacteraceae;g__Solirubrobacter;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Pseudonocardiaceae;g__Pseudonocardia;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Microbacteriaceae;g__Cryocola;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Streptomycetaceae;g__Streptacidiphilus;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Propionibacteriaceae;g__Propionibacterium;s__acnes k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__Nannocystaceae;g__Nannocystis;s__ k__Bacteria;p__Verrucomicrobia;c__[Spartobacteria];o__[Chthoniobacterales];f__[Chthoniobacteraceae];g__Candidatus Xiphinematobacter;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Kaistobacter;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Micromonosporaceae;g__Actinoplanes;s__brasiliensis k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Mycobacteriaceae;g__Mycobacterium;s__arupense k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Desulfuromonadales;f__Geobacteraceae;g__Geobacter;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Streptomycetaceae;g__Streptomyces;s__indigoferus k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__Candidatus Koribacter;s__ k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__Spirosoma;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Devosia;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__ k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Sinobacteraceae;g__Steroidobacter;s__ k__Bacteria;p__Bacteroidetes;c__Flavobacteriia;o__Flavobacteriales;f__Flavobacteriaceae;g__Flavobacterium;s__ k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__Hymenobacter;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Methylobacteriaceae;g__Methylobacterium;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__ k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__Candidatus Koribacter;s__ k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Alteromonadales;f__Alteromonadaceae;g__Cellvibrio;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Phyllobacteriaceae;g__Phyllobacterium;s__ k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Acidobacteriaceae;g__Terriglobus;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Acetobacteraceae;g__Acidocella;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Streptomycetaceae;g__Streptomyces;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Bradyrhizobiaceae;g__Balneimonas;s__ k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Legionellales;f__Legionellaceae;g__Legionella;s__ k__Bacteria;p__Nitrospirae;c__Nitrospira;o__Nitrospirales;f__Nitrospiraceae;g__Nitrospira;s__ k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Streptomycetaceae;g__Streptomyces;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Streptomycetaceae;g__Streptomyces;s__ k__Bacteria;p__Nitrospirae;c__Nitrospira;o__Nitrospirales;f__Nitrospiraceae;g__Nitrospira;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Staphylococcaceae;g__Staphylococcus;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Phyllobacteriaceae;g__Phyllobacterium;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Methylobacteriaceae;g__Methylobacterium;s__organophilum k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Sphingobium;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Devosia;s__ k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__Sediminibacterium;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Rhizobiaceae;g__Rhizobium;s__ k__Bacteria;p__Bacteroidetes;c__Flavobacteriia;o__Flavobacteriales;f__Flavobacteriaceae;g__Flavobacterium;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Mycobacteriaceae;g__Mycobacterium;s__ k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__Spirosoma;s__ k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Burkholderiaceae;g__Burkholderia;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Rhodobiaceae;g__Afifella;s__ k__Bacteria;p__Verrucomicrobia;c__[Spartobacteria];o__[Chthoniobacterales];f__[Chthoniobacteraceae];g__DA101;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Paenibacillaceae;g__Paenibacillus;s__ k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__Candidatus Koribacter;s__ k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__Flavisolibacter;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Streptomycetaceae;g__Streptomyces;s__ k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Xanthomonadaceae;g__Dokdonella;s__ k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__Segetibacter;s__ k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Burkholderiaceae;g__Burkholderia;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Nocardioidaceae;g__Nocardioides;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__Flavisolibacter;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Rhizobiaceae;g__Rhizobium;s__ k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Xanthomonadaceae;g__Luteibacter;s__rhizovicinus k__Bacteria;p__Bacteroidetes;c__Flavobacteriia;o__Flavobacteriales;f__Flavobacteriaceae;g__Flavobacterium;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Sphingomonas;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__flexus k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Microbacteriaceae;g__Microbacterium;s__ k__Bacteria;p__Bacteroidetes;c__Flavobacteriia;o__Flavobacteriales;f__Flavobacteriaceae;g__Flavobacterium;s__succinicans k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Sphingomonas;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__elegans k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodobacterales;f__Rhodobacteraceae;g__Rubellimicrobium;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__ k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Bdellovibrionales;f__Bdellovibrionaceae;g__Bdellovibrio;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Phyllobacteriaceae;g__Mesorhizobium;s__ k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Rhodocyclales;f__Rhodocyclaceae;g__Hydrogenophilus;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Micromonosporaceae;g__Actinoplanes;s__ k__Bacteria;p__Verrucomicrobia;c__[Spartobacteria];o__[Chthoniobacterales];f__[Chthoniobacteraceae];g__DA101;s__ k__Bacteria;p__Firmicutes;c__Clostridia;o__Clostridiales;f__Clostridiaceae;g__Clostridium;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Kaistobacter;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Rhodobiaceae;g__Afifella;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Rhizobiaceae;g__Agrobacterium;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Pedomicrobium;s__ k__Bacteria;p__Bacteroidetes;c__Flavobacteriia;o__Flavobacteriales;f__[Weeksellaceae];g__Chryseobacterium;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Rhodobiaceae;g__Afifella;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Xanthomonadaceae;g__Lysobacter;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__ k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Desulfuromonadales;f__Geobacteraceae;g__Geobacter;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Novosphingobium;s__ k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodobacterales;f__Rhodobacteraceae;g__Rhodobacter;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Sphingomonas;s__wittichii k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__Rhodoferax;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Kaistobacter;s__ k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Xanthomonadaceae;g__Luteimonas;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__Hymenobacter;s__ k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__Methylibium;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Lactobacillales;f__Streptococcaceae;g__Lactococcus;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Caulobacterales;f__Caulobacteraceae;g__Phenylobacterium;s__ k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__Myxococcaceae;g__Anaeromyxobacter;s__ k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__Myxococcaceae;g__Myxococcus;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Bradyrhizobiaceae;g__Bosea;s__genosp. k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__Comamonas;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Nocardioidaceae;g__Nocardioides;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Paenibacillaceae;g__Paenibacillus;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Kaistobacter;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Kaistobacter;s__ k__Bacteria;p__Bacteroidetes;c__Flavobacteriia;o__Flavobacteriales;f__Flavobacteriaceae;g__Flavobacterium;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Bradyrhizobiaceae;g__Balneimonas;s__ k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Pseudomonadales;f__Moraxellaceae;g__Enhydrobacter;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Nocardioidaceae;g__Actinopolymorpha;s__ k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__Candidatus Koribacter;s__ k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Alcaligenaceae;g__Achromobacter;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Gallionellales;f__Gallionellaceae;g__Gallionella;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Devosia;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Caulobacterales;f__Caulobacteraceae;g__Mycoplana;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Devosia;s__ k__Bacteria;p__Firmicutes;c__Clostridia;o__Clostridiales;f__Clostridiaceae;g__Clostridium;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Phyllobacteriaceae;g__Phyllobacterium;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Rhodobiaceae;g__Afifella;s__ k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Gallionellales;f__Gallionellaceae;g__Gallionella;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Alicyclobacillaceae;g__Alicyclobacillus;s__ k__Bacteria;p__Verrucomicrobia;c__[Spartobacteria];o__[Chthoniobacterales];f__[Chthoniobacteraceae];g__DA101;s__ k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__Hymenobacter;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Streptomycetaceae;g__Streptomyces;s__roseochromogenus k__Bacteria;p__Bacteroidetes;c__Flavobacteriia;o__Flavobacteriales;f__Flavobacteriaceae;g__Flavobacterium;s__ k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Pseudomonadales;f__Pseudomonadaceae;g__Pseudomonas;s__ k__Bacteria;p__Bacteroidetes;c__Flavobacteriia;o__Flavobacteriales;f__Flavobacteriaceae;g__Flavobacterium;s__ k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__Flavisolibacter;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Kaistobacter;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Caulobacterales;f__Caulobacteraceae;g__Mycoplana;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__ k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__Spirosoma;s__ k__Bacteria;p__Bacteroidetes;c__Bacteroidia;o__Bacteroidales;f__Porphyromonadaceae;g__Dysgonomonas;s__ k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__Adhaeribacter;s__ k__Bacteria;p__Actinobacteria;c__Rubrobacteria;o__Rubrobacterales;f__Rubrobacteraceae;g__Rubrobacter;s__ k__Bacteria;p__Bacteroidetes;c__Flavobacteriia;o__Flavobacteriales;f__[Weeksellaceae];g__Chryseobacterium;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Acetobacteraceae;g__Roseococcus;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Hyphomicrobium;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodobacterales;f__Rhodobacteraceae;g__Rubellimicrobium;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Streptomycetaceae;g__Streptomyces;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Streptosporangiaceae;g__Nonomuraea;s__ k__Bacteria;p__Acidobacteria;c__Holophagae;o__Holophagales;f__Holophagaceae;g__Geothrix;s__ k__Bacteria;p__Verrucomicrobia;c__Opitutae;o__Opitutales;f__Opitutaceae;g__Opitutus;s__ k__Bacteria;p__Cyanobacteria;c__Nostocophycideae;o__Nostocales;f__Nostocaceae;g__Anabaena;s__cylindrica k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Caulobacterales;f__Caulobacteraceae;g__Phenylobacterium;s__ k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__Acidovorax;s__delafieldii k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__Adhaeribacter;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__Flavisolibacter;s__ k__Bacteria;p__Bacteroidetes;c__Bacteroidia;o__Bacteroidales;f__Porphyromonadaceae;g__Porphyromonas;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Devosia;s__ k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Desulfuromonadales;f__Geobacteraceae;g__Geobacter;s__ k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__Flavisolibacter;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Bradyrhizobiaceae;g__Bradyrhizobium;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__Methylibium;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodobacterales;f__Rhodobacteraceae;g__Rubellimicrobium;s__ k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Sinobacteraceae;g__Steroidobacter;s__ k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Alteromonadales;f__Alteromonadaceae;g__Marinobacter;s__ k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Xanthomonadaceae;g__Lysobacter;s__ k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Burkholderiaceae;g__Salinispora;s__ k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Vibrionales;f__Pseudoalteromonadaceae;g__Pseudoalteromonas;s__ k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__Chitinophaga;s__ k__Bacteria;p__Actinobacteria;c__Rubrobacteria;o__Rubrobacterales;f__Rubrobacteraceae;g__Rubrobacter;s__ k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Burkholderiaceae;g__Burkholderia;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Kaistobacter;s__ k__Bacteria;p__Nitrospirae;c__Nitrospira;o__Nitrospirales;f__Nitrospiraceae;g__JG37-AG-70;s__ k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Oxalobacteraceae;g__Janthinobacterium;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Bradyrhizobiaceae;g__Balneimonas;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Devosia;s__ k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__Hymenobacter;s__ k__Bacteria;p__Verrucomicrobia;c__[Spartobacteria];o__[Chthoniobacterales];f__[Chthoniobacteraceae];g__DA101;s__ k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__Candidatus Koribacter;s__ k__Bacteria;p__Verrucomicrobia;c__Verrucomicrobiae;o__Verrucomicrobiales;f__Verrucomicrobiaceae;g__Prosthecobacter;s__ k__Bacteria;p__Verrucomicrobia;c__[Spartobacteria];o__[Chthoniobacterales];f__[Chthoniobacteraceae];g__Candidatus Xiphinematobacter;s__ k__Bacteria;p__Bacteroidetes;c__Flavobacteriia;o__Flavobacteriales;f__[Weeksellaceae];g__Cloacibacterium;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Geodermatophilaceae;g__Modestobacter;s__ k__Bacteria;p__Verrucomicrobia;c__Verrucomicrobiae;o__Verrucomicrobiales;f__Verrucomicrobiaceae;g__Luteolibacter;s__ k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__Adhaeribacter;s__ k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__Candidatus Koribacter;s__ k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__Flavisolibacter;s__ k__Bacteria;p__Bacteroidetes;c__Flavobacteriia;o__Flavobacteriales;f__[Weeksellaceae];g__Chryseobacterium;s__ k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Alteromonadales;f__Alteromonadaceae;g__Cellvibrio;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Novosphingobium;s__ k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Bdellovibrionales;f__Bdellovibrionaceae;g__Bdellovibrio;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Thermomonosporaceae;g__Actinomadura;s__vinacea k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Pseudonocardiaceae;g__Pseudonocardia;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Thermoactinomycetaceae;g__Shimazuella;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Hyphomicrobium;s__ k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__Adhaeribacter;s__ k__Bacteria;p__Firmicutes;c__Clostridia;o__Clostridiales;f__Veillonellaceae;g__Pelosinus;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Micromonosporaceae;g__Actinoplanes;s__ k__Bacteria;p__Actinobacteria;c__Rubrobacteria;o__Rubrobacterales;f__Rubrobacteraceae;g__Rubrobacter;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Devosia;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Sphingomonas;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Nocardioidaceae;g__Nocardioides;s__ k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Acidobacteriaceae;g__Edaphobacter;s__ k__Bacteria;p__Nitrospirae;c__Nitrospira;o__Nitrospirales;f__Nitrospiraceae;g__Nitrospira;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Corynebacteriaceae;g__Corynebacterium;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Methylobacteriaceae;g__Methylobacterium;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Nocardiaceae;g__Nocardia;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Mycobacteriaceae;g__Mycobacterium;s__ k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Xanthomonadaceae;g__Dokdonella;s__ k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__Hymenobacter;s__ k__Bacteria;p__Bacteroidetes;c__Flavobacteriia;o__Flavobacteriales;f__Flavobacteriaceae;g__Flavobacterium;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Phyllobacteriaceae;g__Phyllobacterium;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Bradyrhizobiaceae;g__Afipia;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Planococcaceae;g__Planomicrobium;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Streptomycetaceae;g__Streptomyces;s__mirabilis k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__ k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Xanthomonadaceae;g__Lysobacter;s__ k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__Flavisolibacter;s__ k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Bdellovibrionales;f__Bdellovibrionaceae;g__Bdellovibrio;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__ k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Desulfuromonadales;f__Geobacteraceae;g__Geobacter;s__ k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__Rhodoferax;s__ k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Xanthomonadaceae;g__Dokdonella;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Lactobacillales;f__Streptococcaceae;g__Streptococcus;s__ k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Methylophilales;f__Methylophilaceae;g__Methylotenera;s__mobilis k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Streptomycetaceae;g__Streptomyces;s__ k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Xanthomonadaceae;g__Luteimonas;s__ k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Planococcaceae;g__Solibacillus;s__ k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__Ramlibacter;s__ k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Mycobacteriaceae;g__Mycobacterium;s__ +103.CA2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 1 0 1 0 0 0 0 0 5 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 2 0 0 0 0 0 0 0 1 0 0 0 8 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 32 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 4 0 2 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 14 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 2 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 6 0 0 0 0 1 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 8 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 1 0 0 2 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 +103.CO3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 5 0 0 1 0 1 0 0 0 0 0 0 0 0 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 1 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 22 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 2 0 0 0 0 3 0 0 0 1 0 13 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 27 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 6 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 7 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 13 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 2 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 1 0 0 0 7 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 9 0 0 1 0 0 1 1 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 10 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 7 0 0 0 0 0 0 0 0 0 0 1 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 6 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 +103.SR3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 1 0 0 1 0 0 0 0 7 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 2 0 0 0 0 0 2 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 0 7 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 3 0 21 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 5 0 0 0 0 0 0 0 0 0 1 0 4 0 0 0 0 0 0 0 0 0 1 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 8 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 1 0 0 0 2 0 0 0 0 1 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 1 2 0 0 0 1 0 0 0 0 3 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 2 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 5 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 10 0 0 0 0 0 0 0 0 0 0 0 0 1 2 0 0 0 0 3 0 0 1 0 0 2 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 23 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 2 0 1 0 0 0 0 0 0 0 0 6 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 2 0 0 0 0 0 0 1 1 1 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 2 0 0 0 0 0 0 0 0 0 7 0 2 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 10 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 1 0 0 0 0 0 1 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 1 0 0 11 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 9 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 2 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 6 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 6 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 7 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 3 0 0 1 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 12 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 2 0 0 1 0 0 0 3 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 1 1 +103.IE2 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 2 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 8 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 6 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 2 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 7 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 6 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 14 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 10 1 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 5 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 2 0 0 1 0 0 0 0 0 0 0 0 0 0 0 3 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 1 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 5 0 0 0 13 0 0 0 0 0 0 0 0 0 0 6 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 7 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 6 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 6 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 13 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 6 0 0 0 0 0 0 2 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 21 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 1 +103.BP1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 1 1 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 2 2 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 3 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 12 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 2 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 +103.VC2 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 1 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 7 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 6 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 13 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 6 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 1 0 0 0 1 2 0 0 0 0 6 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 2 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 2 0 0 0 0 0 0 0 0 20 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 1 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 2 0 0 0 1 1 0 0 0 0 0 0 5 0 0 0 0 0 1 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 +103.SA2 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 6 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 2 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 2 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 10 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 2 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 5 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 1 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 7 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 9 0 0 1 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 8 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 2 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 5 0 2 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 7 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 16 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 +103.GB2 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 1 0 0 3 0 0 1 0 0 0 0 0 0 0 0 3 0 0 1 0 0 3 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 2 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 2 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 8 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 6 0 0 0 0 4 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 1 0 0 2 3 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 6 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 9 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 8 0 0 0 1 0 0 1 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 6 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 1 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 1 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 2 0 0 0 0 1 0 1 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 13 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 3 0 0 0 0 2 0 0 0 1 0 0 0 0 0 2 0 0 0 1 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 +103.CO2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 32 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 3 2 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 12 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 2 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 18 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 19 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 4 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 4 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 21 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 8 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 1 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 9 0 7 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 3 0 0 0 0 1 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 +103.KP1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 3 0 0 0 0 0 3 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 2 0 0 0 2 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 6 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 3 1 0 0 0 0 2 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 6 0 0 0 0 0 0 0 1 2 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 2 0 0 0 0 0 1 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 2 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 1 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 1 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 11 0 1 1 0 0 0 0 3 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 3 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 3 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 2 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 1 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 9 1 0 0 1 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 3 0 0 0 0 3 0 1 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 0 0 4 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 7 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 2 1 0 0 1 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 5 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 6 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 +103.SF1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 6 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 8 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 2 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 1 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 12 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 22 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 1 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 6 0 0 0 0 1 0 0 0 0 4 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 11 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 0 1 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 6 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 4 0 0 0 0 0 0 0 0 0 0 0 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 2 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 4 1 0 0 1 0 0 0 0 0 0 5 0 0 0 0 0 0 0 0 0 0 3 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 25 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 2 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 2 0 0 3 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 0 0 0 0 2 0 0 0 0 0 1 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 9 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 1 0 5 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 11 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 +103.GB1 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 6 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 1 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 0 0 0 0 0 0 0 0 0 0 0 0 5 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 1 0 0 0 0 1 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 4 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 10 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 22 0 0 5 0 0 12 0 0 0 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 18 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 7 0 1 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 1 7 0 0 0 3 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 12 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 3 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 2 0 2 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 2 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 2 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 10 1 0 0 0 0 3 0 0 0 0 1 0 0 11 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 3 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 1 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 3 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 0 0 0 0 2 0 0 0 0 0 0 0 1 0 1 2 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 1 0 0 0 0 0 0 2 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 9 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 +103.CA1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 6 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 1 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 3 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 4 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 19 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 2 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 10 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 1 2 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 6 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 7 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 +103.SV2 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 13 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 7 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 1 0 9 0 0 1 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 18 0 0 0 0 0 0 0 1 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 19 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 8 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 15 0 0 0 0 0 2 0 0 0 1 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 24 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 14 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 14 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 20 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 8 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 6 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 2 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 3 0 0 0 10 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 6 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 0 0 0 0 0 0 0 0 0 2 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 11 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 +103.GB5 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 2 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 11 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 2 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 10 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 1 1 0 0 0 1 0 0 0 0 2 0 0 0 0 9 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 144 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 9 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 1 0 0 0 0 0 0 0 0 0 0 0 0 5 0 0 0 9 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 60 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 +103.GB3 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 2 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 41 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 1 0 0 0 0 4 0 2 0 0 0 0 0 0 0 0 1 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 7 1 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 0 0 0 0 0 0 0 0 0 0 6 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 6 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 24 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 +103.MT1 0 0 0 0 0 1 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 2 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 3 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 13 0 0 0 0 0 0 0 0 0 0 0 4 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 2 0 10 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 7 0 0 0 0 1 0 0 0 0 0 0 0 0 0 7 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 5 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 +103.SV1 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 22 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 3 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 15 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 4 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 30 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 8 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 2 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 11 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 4 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 21 0 0 0 0 6 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 23 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 31 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 2 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 19 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 23 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 2 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 16 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 +103.SR2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 2 0 0 0 0 0 0 0 2 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 6 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 16 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 2 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 2 0 0 0 0 2 0 0 0 2 1 0 0 0 2 0 0 0 0 2 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 15 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 8 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 0 0 0 2 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 5 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 1 0 0 0 0 0 0 0 4 0 4 0 0 0 0 0 0 7 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 44 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 0 0 0 0 0 6 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 14 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 2 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 7 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 7 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 2 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 2 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 +103.KP4 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 9 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 2 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 9 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 2 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 0 0 0 0 1 1 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 2 6 0 0 0 0 7 0 4 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 6 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 3 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 2 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 1 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 9 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 3 0 0 0 0 0 0 0 0 2 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 5 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 3 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 +103.MD2 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 11 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 1 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 4 0 0 0 0 0 0 2 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 2 0 42 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 0 0 0 0 0 0 3 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 2 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 6 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 13 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 20 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 8 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 1 0 0 0 0 2 0 0 0 0 0 0 0 34 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 2 0 5 0 1 0 0 6 0 0 0 2 0 0 0 0 4 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 28 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 1 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 11 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 18 5 0 0 0 0 0 0 2 3 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 1 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 0 3 0 0 0 0 0 0 0 0 0 6 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 10 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 2 2 1 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 12 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 6 0 0 0 4 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 7 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 39 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 2 1 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 6 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 5 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 +103.TL2 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 9 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 7 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 2 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 2 0 0 0 0 0 0 0 0 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 6 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 7 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 6 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 +103.MD5 0 0 0 0 0 0 0 2 0 0 0 0 9 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 79 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 2 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 10 0 0 1 0 0 0 0 0 0 0 0 0 12 0 0 1 0 0 0 0 0 7 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 6 15 0 0 0 0 0 0 0 6 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 11 0 0 0 0 0 5 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 4 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 10 0 1 0 0 0 0 0 2 0 1 7 0 0 0 0 0 0 0 0 0 0 0 0 0 74 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 17 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 16 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 7 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 7 2 0 0 7 8 0 0 0 0 0 0 0 0 25 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 8 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 42 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 3 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 3 0 0 0 0 0 0 0 0 0 0 0 1 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 16 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 2 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 6 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 15 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 105 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 6 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 2 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 37 0 0 0 0 0 0 0 0 0 0 6 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 1 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 21 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 6 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 25 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 +103.CL1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 1 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 1 0 0 0 0 0 0 2 0 0 0 0 0 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 31 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 2 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 13 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 2 4 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 1 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 3 5 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 24 0 0 1 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 5 0 2 0 0 0 0 0 0 0 2 0 0 0 0 0 1 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 1 0 0 0 0 9 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 +103.SB1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 12 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 9 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 4 0 0 0 0 0 0 0 0 0 0 0 2 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 1 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 3 0 0 0 0 0 2 0 0 0 0 0 0 0 4 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 3 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 2 0 0 0 2 0 0 0 0 0 0 2 0 0 1 1 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 2 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 4 0 0 0 0 1 0 2 0 0 0 0 0 0 0 0 0 0 0 1 3 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 3 0 0 0 0 0 2 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 2 0 0 0 0 0 0 0 1 0 0 0 0 2 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 0 0 12 1 0 0 0 5 0 0 0 0 1 0 0 0 0 0 0 0 2 0 0 0 0 0 4 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 5 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 2 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 3 1 0 0 1 1 0 0 0 7 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 2 0 1 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 46 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 34 0 0 0 7 0 0 0 0 0 0 0 18 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 2 3 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 9 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 8 1 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 1 1 0 0 1 0 0 3 0 1 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 27 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 2 0 0 0 6 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 1 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 1 0 0 0 1 0 1 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 1 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 31 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 2 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 0 0 0 0 0 0 0 0 0 0 0 0 1 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 4 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 4 1 0 0 1 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 2 11 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 6 0 0 0 0 0 0 0 0 2 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 24 0 0 1 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 6 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 1 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 8 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 2 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 +103.SA1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 2 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 6 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 2 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 4 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 6 0 1 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 5 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 1 0 0 0 4 0 0 0 0 0 0 2 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 2 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 3 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 2 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 1 0 2 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 3 0 0 0 0 0 0 2 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 4 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 +103.SN3 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 2 0 0 0 7 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 10 0 0 0 1 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 17 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 2 0 0 0 0 0 0 0 0 2 0 0 0 0 0 1 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 6 1 0 0 0 0 0 0 0 6 0 0 1 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 9 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 11 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 5 0 10 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 6 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 1 0 0 0 0 0 0 0 0 0 0 0 3 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 4 0 1 0 0 0 0 0 6 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 9 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 3 1 0 0 0 0 0 0 0 0 1 2 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 1 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 6 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 +103.CC1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 6 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 2 0 1 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 6 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 2 1 0 0 0 0 0 0 0 0 0 0 0 0 13 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 7 0 0 0 0 0 0 1 0 0 0 1 0 2 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 4 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 2 0 0 1 0 1 0 0 0 0 0 0 0 1 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 8 0 0 1 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 2 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 2 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 3 0 0 0 +103.CO1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 12 0 0 1 0 0 2 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 2 0 1 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 3 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 7 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 2 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 22 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 0 0 0 0 1 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 5 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 1 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 7 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 0 0 0 0 24 0 0 0 3 0 0 0 0 0 0 5 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 2 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 10 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 2 0 0 0 1 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 1 0 18 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 26 0 0 3 0 0 0 1 0 0 8 2 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 5 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 6 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 3 0 0 0 2 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 4 0 0 0 0 0 0 0 3 0 0 0 0 1 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 5 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 2 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 8 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 6 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 2 0 0 0 0 0 0 0 0 0 2 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 2 0 0 0 0 0 2 +103.MD3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 12 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 15 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 8 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 6 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 1 0 0 0 0 0 0 1 0 0 0 1 0 0 0 1 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 12 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 6 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 16 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 32 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 146 0 0 0 3 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 9 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 6 0 0 0 0 0 0 0 0 0 3 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 9 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 7 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 7 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 7 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 5 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 16 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 3 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 25 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 +103.SR1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 2 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 1 0 4 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 2 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 6 0 0 0 0 1 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 2 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 4 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 1 2 1 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 9 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 7 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 4 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 8 0 0 0 +103.CR1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 0 0 0 0 1 0 0 0 1 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 9 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 2 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 7 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 43 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 7 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 1 0 2 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 3 0 1 2 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 8 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 +103.IT1 0 0 0 0 1 6 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 9 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 6 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 4 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 2 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 2 3 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 6 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 2 0 0 2 0 0 0 1 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 10 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 7 0 0 1 0 0 0 0 0 0 0 2 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 14 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 1 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 1 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 9 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 2 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 1 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 6 1 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 2 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 1 0 0 0 0 1 0 0 0 1 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 1 2 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 1 0 0 0 3 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 21 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 +103.HJ2 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 1 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 39 3 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 2 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 1 0 0 0 0 0 0 0 2 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 8 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 3 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 6 0 0 0 6 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 2 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 9 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 6 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 2 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 +103.MT2 0 1 0 0 0 5 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 2 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 5 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 15 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 1 2 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 9 3 0 0 0 0 0 0 2 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 6 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 1 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 40 0 0 0 0 0 0 1 0 0 0 10 0 2 0 1 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 7 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 44 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 5 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 3 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 0 0 0 0 0 0 0 0 0 6 0 0 0 0 0 3 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 9 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 8 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 +103.SK3 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 12 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 1 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 1 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 16 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 3 0 0 0 0 15 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 5 0 0 0 0 0 0 0 0 0 0 0 0 0 9 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 3 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 8 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 7 0 0 0 0 7 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 4 2 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 1 0 0 0 0 2 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 8 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 +103.BF1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 6 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 8 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 6 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 1 0 0 6 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 11 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 2 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 0 18 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 26 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 8 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 2 0 0 0 0 0 0 2 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 2 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 12 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 +103.AR3 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 10 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 1 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 2 0 0 0 1 0 0 0 0 0 1 0 0 0 8 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 6 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 7 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 15 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 2 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 23 0 0 0 0 2 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 7 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 9 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 14 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 0 0 0 +103.AR2 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 4 0 0 1 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 2 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 2 0 0 0 0 0 1 0 0 1 0 10 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 2 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 6 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 14 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 7 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 16 0 0 0 0 1 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 1 0 0 0 14 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 2 0 0 1 1 0 0 0 0 0 0 0 5 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 2 0 2 0 0 0 0 0 2 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 7 0 0 0 2 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 3 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 8 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 2 0 2 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 17 0 0 0 +103.KP3 0 0 0 0 0 0 0 0 0 0 0 6 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 3 0 0 0 0 0 0 0 0 0 1 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 2 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 1 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 8 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 9 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 10 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 2 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 1 +103.CL3 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 3 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 7 1 0 0 0 0 0 0 2 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 7 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 9 0 0 0 0 0 0 0 0 1 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 8 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 1 0 0 2 0 0 0 0 0 0 0 0 0 2 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 9 0 0 1 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 1 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 10 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 3 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 5 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 2 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 3 0 0 0 0 0 1 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 1 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 5 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 1 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 10 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 2 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 3 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 13 0 0 0 0 0 3 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 +103.DF2 0 0 0 0 0 1 0 0 0 2 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 1 3 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 3 0 8 0 0 0 0 0 0 0 2 0 0 1 0 1 1 0 0 0 0 0 1 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 5 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 6 0 0 0 0 0 0 0 0 0 0 0 0 0 0 17 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 12 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 2 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 8 1 0 1 6 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 2 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 4 0 0 2 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 1 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 2 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 +103.CL4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 1 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 2 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 3 0 0 0 0 0 8 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 3 0 0 0 0 0 0 2 0 0 0 0 0 0 0 1 0 2 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 2 0 0 0 0 0 0 5 0 0 1 0 0 0 1 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 3 0 0 0 0 0 0 0 0 0 0 31 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 6 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 6 0 0 0 0 0 0 0 0 7 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 6 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 22 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 10 0 1 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 5 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 10 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 4 1 0 0 2 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 13 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 2 0 0 0 0 0 1 0 0 0 0 0 0 0 4 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 7 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 2 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 11 0 0 2 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 7 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 +103.HI3 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 2 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 1 0 0 6 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 6 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 11 0 0 0 0 0 0 0 0 0 0 0 0 1 2 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 11 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 13 0 0 0 0 0 0 0 0 0 0 1 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 4 8 0 3 0 6 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 7 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 30 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 7 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 20 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 6 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 14 0 0 0 0 0 0 0 0 0 0 0 7 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 7 1 0 0 33 0 0 0 0 3 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 6 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 4 0 0 0 0 1 0 0 0 0 0 1 0 2 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 3 0 0 8 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 23 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 2 0 0 0 0 0 3 0 0 0 6 0 0 3 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 11 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 2 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 17 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 17 0 0 1 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 19 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 16 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 5 0 0 0 0 0 0 0 0 0 0 2 0 0 0 +103.IT2 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 2 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 1 0 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 14 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 4 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 10 0 0 0 0 0 0 0 2 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 4 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 6 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 4 0 0 0 8 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 15 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 2 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 13 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 2 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 6 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 6 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 +103.SP1 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 2 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 3 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 1 0 2 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 7 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 6 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 1 2 0 0 0 0 0 2 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 1 0 0 0 0 0 0 0 0 4 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 17 0 3 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 4 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 2 2 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 8 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 2 0 0 0 0 0 0 1 0 2 0 3 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 2 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 6 0 0 0 0 0 0 0 1 0 6 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 9 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 2 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 7 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 1 +103.CL2 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 1 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 2 0 3 1 0 0 0 0 0 0 0 0 3 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 6 0 0 2 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 3 0 0 0 0 0 0 1 0 0 0 0 1 0 1 0 0 0 0 0 0 0 1 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 11 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 9 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 5 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 12 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 1 0 0 0 2 0 5 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 2 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 1 0 4 0 0 0 0 0 9 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 5 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 1 0 0 0 0 0 0 0 0 10 0 1 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 6 0 0 0 0 0 0 0 0 0 0 0 0 5 0 0 0 0 0 0 0 0 1 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 3 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 6 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 2 0 3 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 2 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 6 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 1 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 1 0 0 0 0 0 0 0 1 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 7 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 2 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 2 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 3 0 1 0 0 0 2 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 +103.BB2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 19 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 19 1 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 8 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 8 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 9 0 11 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 8 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 7 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 +103.CF2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 4 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 6 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 12 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 16 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 +103.BF2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 9 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 6 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 4 1 0 0 0 0 0 0 0 4 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 9 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 9 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 7 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 1 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 10 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 6 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 6 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 19 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 0 0 0 0 0 0 0 0 3 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 7 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 +103.HF1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 5 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 10 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 6 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 2 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 10 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 11 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 16 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 9 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 15 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 2 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 14 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 8 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 +103.BZ1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 3 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 31 2 0 0 0 0 0 0 0 0 5 0 1 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 18 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 2 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 1 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 31 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 11 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 13 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 9 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 1 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 +103.PE4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 8 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 7 0 2 0 1 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 6 0 0 0 0 0 0 0 0 0 9 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 11 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 0 0 0 0 0 0 0 0 0 0 8 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 17 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 6 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 17 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 13 2 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 18 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 +103.SP2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 6 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 2 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 6 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 6 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 5 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 16 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 2 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 +103.CF1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 15 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 11 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 3 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 0 0 0 0 0 0 0 0 6 0 0 0 1 0 0 0 1 0 1 0 1 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 7 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 2 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 16 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 0 0 1 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 7 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 +103.HF2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 10 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 2 2 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 17 0 2 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 9 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 6 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 6 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 8 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 +103.PE6 0 0 0 0 0 0 0 0 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 6 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 13 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 2 0 0 0 0 0 0 0 0 42 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 2 0 0 9 0 0 0 6 0 0 0 2 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 15 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 9 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 12 0 0 0 0 0 0 0 0 0 0 0 0 0 7 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 9 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 13 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 7 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 6 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 +103.PE2 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 6 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 1 0 0 0 0 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 7 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 6 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 10 0 0 0 0 0 0 0 0 0 0 0 0 0 0 7 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 3 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 13 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 +103.PE3 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 8 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 1 0 0 0 0 0 0 0 1 1 0 0 8 0 0 0 4 0 0 0 2 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 7 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 6 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 17 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 6 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 18 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 3 0 0 1 0 0 0 0 10 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 3 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 2 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 10 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 13 7 0 0 0 0 0 0 3 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 9 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 14 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 +103.MP1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 2 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 2 0 6 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 8 0 0 0 0 0 0 0 0 20 2 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 39 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 18 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 1 0 0 0 0 0 0 6 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 6 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 9 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 7 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 10 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 +103.HJ1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 1 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 1 0 0 0 0 0 14 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 44 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 9 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 58 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 25 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 17 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 1 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 10 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 4 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 6 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 +103.MP2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 3 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 36 2 0 0 0 0 0 0 0 0 1 0 1 0 1 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 1 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 8 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 2 0 0 6 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 5 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 9 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 8 0 0 0 1 8 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 8 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 9 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 6 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 6 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 +103.SK2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 7 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 22 0 0 0 0 0 0 0 0 0 4 0 1 0 1 0 0 0 0 0 0 7 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 6 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 2 0 0 0 0 0 0 0 0 0 7 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 2 0 9 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 1 0 0 0 0 0 0 0 0 0 0 2 2 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 3 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 1 0 0 0 2 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 7 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 +103.TL3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 7 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 9 0 0 0 0 0 0 0 0 15 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 7 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 1 0 0 0 2 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 8 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 7 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 +103.VC1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 9 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 19 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 8 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 2 0 0 0 0 0 0 0 2 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 2 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 5 0 0 0 0 0 2 0 0 0 0 0 0 0 5 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 2 0 1 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 0 24 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 16 0 0 0 0 1 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 0 0 0 0 0 0 0 0 0 0 0 0 7 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 10 0 1 0 0 0 0 0 0 0 0 0 0 0 7 2 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 6 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 1 0 0 0 0 0 0 0 0 23 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 6 0 0 0 0 0 0 0 0 8 0 0 0 0 4 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 +103.SK1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 6 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 1 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 20 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 6 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 6 0 0 0 0 0 0 0 0 0 0 0 5 11 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 48 0 0 0 0 0 0 0 0 0 0 7 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 55 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 11 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 2 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 20 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 2 0 1 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 6 0 1 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 2 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 6 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 4 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 5 +103.SN1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 7 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 11 0 0 1 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 18 0 0 0 0 0 1 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 8 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 6 2 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 21 0 0 0 0 1 0 0 0 5 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 5 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 +103.CM1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 7 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 2 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 7 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 1 0 0 1 0 0 0 0 1 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 17 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 1 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 6 0 1 0 0 0 0 0 0 1 0 0 1 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 3 1 0 0 0 0 2 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 9 0 0 0 1 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 2 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 7 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 3 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 8 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 3 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 +103.PE7 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 8 0 1 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 1 0 2 0 0 0 0 0 0 0 0 0 0 7 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 1 0 0 0 0 0 0 0 0 7 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 2 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 1 0 0 0 0 0 0 1 1 0 0 2 0 0 0 3 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 17 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 1 0 10 0 0 0 0 0 0 0 0 0 0 0 0 0 5 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 8 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 2 12 0 0 0 0 0 0 0 0 0 0 2 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 7 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 7 0 0 0 0 0 0 0 0 0 0 0 1 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 7 0 0 0 +103.RT2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 1 0 1 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 1 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 7 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 7 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 3 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 23 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 8 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 1 0 0 0 0 0 0 0 0 1 0 2 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 2 0 0 0 0 0 0 0 0 1 0 0 0 7 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 +103.MD4 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 3 0 0 0 0 0 0 0 0 6 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 7 0 0 0 0 4 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 15 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 2 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 6 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 20 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 1 0 0 0 1 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 9 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 1 0 0 0 1 0 0 0 0 0 0 0 2 0 0 0 0 7 0 0 0 2 0 1 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 12 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 6 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 16 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 1 0 0 0 2 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 6 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 0 0 0 0 0 0 0 +103.SF2 0 0 0 0 0 0 0 0 0 0 0 0 8 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 16 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 2 0 0 0 0 0 0 0 0 0 10 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 2 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 1 0 0 1 0 0 0 0 0 3 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 19 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 6 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 3 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 25 0 0 0 0 0 0 1 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 31 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 11 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 8 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 88 0 0 0 0 0 0 0 0 0 0 1 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 27 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 1 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 1 0 0 1 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 3 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 23 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 6 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 7 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 2 0 0 0 0 0 0 0 10 0 0 0 1 1 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 7 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 7 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 1 0 0 0 3 3 2 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 +103.JT1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 9 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 4 0 0 0 0 0 0 7 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 9 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 1 0 0 0 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 20 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 13 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 1 0 0 0 6 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 3 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 19 0 0 10 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 1 0 1 0 2 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 7 0 0 0 0 0 0 0 0 3 0 0 3 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 11 0 0 0 6 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 22 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 16 0 0 0 0 0 0 0 1 0 0 0 0 0 2 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 10 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 6 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 6 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 2 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 9 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 21 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 2 0 0 0 0 1 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 +103.LQ2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 6 0 0 13 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 0 0 0 0 0 0 0 1 28 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 3 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 4 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 6 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 20 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 9 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 11 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 7 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 5 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 13 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 +103.IE1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 2 0 0 0 2 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 3 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 9 0 0 0 0 0 0 0 0 0 0 2 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 11 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 6 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 29 0 2 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 5 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 2 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 3 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 3 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 7 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 4 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 8 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 2 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 1 0 0 1 0 0 0 2 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 1 0 0 0 0 10 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 25 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 8 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 +103.DF3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 10 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 1 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 4 1 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 19 0 0 0 0 0 0 0 0 0 0 2 0 0 1 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 2 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 2 0 0 0 3 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 2 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 29 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 2 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 +103.LQ3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 22 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 8 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 1 0 0 0 1 0 0 0 1 2 0 0 13 0 0 0 11 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 2 0 0 6 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 3 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 7 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 7 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 10 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 7 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 17 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 6 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 0 0 0 +103.PE5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 4 0 0 3 0 0 0 0 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 6 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 5 7 0 0 0 0 0 0 0 0 0 0 0 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 19 0 0 0 16 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 6 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 7 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 13 4 0 0 0 0 0 0 0 0 0 0 0 0 25 0 0 0 0 0 0 0 0 10 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 3 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 15 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 6 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 8 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 2 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 16 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 18 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 7 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 6 0 0 0 +103.PE1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 7 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 6 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 20 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 6 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 13 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 7 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 1 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 4 0 0 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 11 4 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 7 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 +103.LQ1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 3 0 0 0 2 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 7 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 1 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 7 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 0 0 0 0 0 0 0 0 0 0 0 0 0 5 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 8 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 19 1 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 6 0 0 0 0 0 0 1 0 3 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 17 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 0 0 0 0 2 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 8 3 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 5 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 +103.HI1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 21 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 6 0 0 4 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 22 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 12 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 6 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 5 3 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 14 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 9 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 7 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 +103.RT1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 11 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 1 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 1 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 4 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 3 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 5 2 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 11 0 0 0 1 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 19 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 7 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 8 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 6 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 6 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 2 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 +103.HI2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 3 0 0 0 0 0 0 0 0 0 0 4 0 7 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 13 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 7 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 11 0 0 0 2 0 0 0 0 0 0 0 0 0 0 15 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 11 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 2 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 29 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 0 0 1 0 0 0 10 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 14 0 0 0 0 0 0 0 0 0 0 0 6 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 1 0 0 15 0 0 0 0 2 0 0 0 0 0 0 0 6 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 8 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 6 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 3 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 2 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 2 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 1 0 0 0 0 2 0 0 10 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 33 0 5 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 2 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 9 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 +103.DF1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 0 3 0 0 0 0 0 0 1 0 0 0 0 6 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 3 0 2 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 11 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 6 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 6 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 10 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 32 0 0 0 0 0 0 0 0 0 0 3 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 2 0 0 0 1 0 0 0 2 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 10 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 2 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 2 0 0 0 0 0 0 0 0 1 0 0 0 0 8 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 3 0 0 0 0 0 0 0 0 0 34 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 2 0 0 0 +103.CF3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 7 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 16 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 6 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 15 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 +103.AR1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 7 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 4 0 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 10 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 6 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 1 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 1 3 0 0 0 0 0 0 6 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 1 0 0 0 0 0 25 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 1 0 0 0 0 0 0 0 11 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 3 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 7 0 2 0 +103.TL1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 8 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 14 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 19 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 8 0 0 0 0 0 0 0 0 14 0 0 0 0 0 0 0 0 0 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 30 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 8 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 6 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 211 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 +103.HI4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 2 0 2 0 0 0 0 0 0 0 6 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 2 0 0 0 4 1 0 0 3 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 9 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 2 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 9 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 6 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 10 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 1 0 2 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 6 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 10 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 +103.BB1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 diff --git a/data_application/88soils/88soils_modified_metadata.txt b/data_application/88soils/88soils_modified_metadata.txt new file mode 100644 index 0000000..0d385bc --- /dev/null +++ b/data_application/88soils/88soils_modified_metadata.txt @@ -0,0 +1,90 @@ +#SampleID BarcodeSequence LinkerPrimerSequence barcode_read_group_tag dna_extracted_prep experiment_alias experiment_center experiment_design_description experiment_title instrument_name key_seq library_construction_protocol linker pcr_primers physical_specimen_remaining_prep platform pool_member_name pool_proportion primer_read_group_tag region run_alias run_center run_date run_prefix samp_size sample_center sample_type_prep sequencing_meth study_center study_ref target_gene target_subfragment altitude annual_season_precpt annual_season_temp anonymized_name assigned_from_geo carb_nitro_ratio cmin_rate collection_date common_name country depth dna_extracted elevation env_biome env_feature env_matter host_subject_id latitude longitude ph physical_specimen_remaining project_name public sample_type silt_clay soil_moisture_deficit soil_type specific_location taxon_id texture title tot_org_carb tot_org_nitro Description ph2 ph3 ph4 ph_rounded +103.BZ1 ACACATGTCTAC CATGCTGCCTCCCGTAGGAGT BZ1_V2 True lauber_88_soils CCME bacterial biogeography Pyrosequencing_based_assessment_of_soil_pH_as_a_predictor_of_soil_bacterial_community_structure_at_the_continental_scale Engencore TCAG 19502440 CA FWD:GCCTTGCCAGCCCGCTCAGTCAGAGTTTGATCCTGGCTCAG;REV:CATGCTGCCTCCCGTAGGAGT False FLX BZ1_V2 1 V2 0 BZ1_V2 CCME 5/28/08 FA6P1OK 0.5, g CCME XXQIITAXX pyrosequencing CCME lauber_88_soils 16S rRNA V2 0 260 -2.9 BZ1 False 19.4 4.185 2008 soil metagenome GAZ:United States of America 0-0.05 True 300 ENVO:forest ENVO:forest soil ENVO:soil BZ1 64.8 -148.25 5.12 False lauber_88_soils True XXQIITAXX 80 132.6 gelisol Bonanza Creek LTER, AK USA 410658 silt loam Pyrosequencing-Based Assessment of Soil pH as a Predictor of Soil Bacterial Community Structure at the Continental Scale 30.3 0.0 soil metagenome 26.2144 134.21772800000002 687.19476736 5_ +103.CR1 ACCACATACATC CATGCTGCCTCCCGTAGGAGT CR1_V2 True lauber_88_soils CCME bacterial biogeography Pyrosequencing_based_assessment_of_soil_pH_as_a_predictor_of_soil_bacterial_community_structure_at_the_continental_scale Engencore TCAG 19502440 CA FWD:GCCTTGCCAGCCCGCTCAGTCAGAGTTTGATCCTGGCTCAG;REV:CATGCTGCCTCCCGTAGGAGT False FLX CR1_V2 1 V2 0 CR1_V2 CCME 5/28/08 FA6P1OK 0.5, g CCME XXQIITAXX pyrosequencing CCME lauber_88_soils 16S rRNA V2 0 850 18.4 CR1 False 10.7 3.0780000000000003 2008 soil metagenome GAZ:United States of America 0-0.05 True 250 ENVO:Temperate grasslands ENVO:grassland soil ENVO:soil CR1 33.93333333 -97.23333333 8.0 False lauber_88_soils True XXQIITAXX 64 160.1 mollisol Coffey Ranch, TX USA 410658 loam Pyrosequencing-Based Assessment of Soil pH as a Predictor of Soil Bacterial Community Structure at the Continental Scale 28.3 10.9 soil metagenome 64.0 512.0 4096.0 8_ +103.GB2 ACCTGTCTCTCT CATGCTGCCTCCCGTAGGAGT GB2_V2 True lauber_88_soils CCME bacterial biogeography Pyrosequencing_based_assessment_of_soil_pH_as_a_predictor_of_soil_bacterial_community_structure_at_the_continental_scale Engencore TCAG 19502440 CA FWD:GCCTTGCCAGCCCGCTCAGTCAGAGTTTGATCCTGGCTCAG;REV:CATGCTGCCTCCCGTAGGAGT False FLX GB2_V2 1 V2 0 GB2_V2 CCME 5/28/08 FA6P1OK 0.5, g CCME XXQIITAXX pyrosequencing CCME lauber_88_soils 16S rRNA V2 0 400 2.0 GB2 False 13.1 5.375 2008 soil metagenome GAZ:United States of America 0-0.05 True 3290 ENVO:forest ENVO:forest soil ENVO:soil GB2 39.31666667 -111.46666670000002 7.57 False lauber_88_soils True XXQIITAXX 65 -112.3 mollisol Great Basin Experimental Range, UT USA 410658 loam Pyrosequencing-Based Assessment of Soil pH as a Predictor of Soil Bacterial Community Structure at the Continental Scale 68.9 0.0 soil metagenome 57.3049 433.79809300000005 3283.8515640100004 7_ +103.GB3 ACGACGTCTTAG CATGCTGCCTCCCGTAGGAGT GB3_V2 True lauber_88_soils CCME bacterial biogeography Pyrosequencing_based_assessment_of_soil_pH_as_a_predictor_of_soil_bacterial_community_structure_at_the_continental_scale Engencore TCAG 19502440 CA FWD:GCCTTGCCAGCCCGCTCAGTCAGAGTTTGATCCTGGCTCAG;REV:CATGCTGCCTCCCGTAGGAGT False FLX GB3_V2 1 V2 0 GB3_V2 CCME 5/28/08 FA6P1OK 0.5, g CCME XXQIITAXX pyrosequencing CCME lauber_88_soils 16S rRNA V2 0 400 2.0 GB3 False 14.3 6.244 2008 soil metagenome GAZ:United States of America 0-0.05 True 3270 ENVO:forest ENVO:forest soil ENVO:soil GB3 39.31666667 -111.48333329999998 7.18 False lauber_88_soils True XXQIITAXX 76 -112.3 mollisol Great Basin Experimental Range, UT USA 410658 clay loam Pyrosequencing-Based Assessment of Soil pH as a Predictor of Soil Bacterial Community Structure at the Continental Scale 57.1 0.0 soil metagenome 51.5524 370.146232 2657.6499457599994 7_ +103.GB1 ACCTCGATCAGA CATGCTGCCTCCCGTAGGAGT GB1_V2 True lauber_88_soils CCME bacterial biogeography Pyrosequencing_based_assessment_of_soil_pH_as_a_predictor_of_soil_bacterial_community_structure_at_the_continental_scale Engencore TCAG 19502440 CA FWD:GCCTTGCCAGCCCGCTCAGTCAGAGTTTGATCCTGGCTCAG;REV:CATGCTGCCTCCCGTAGGAGT False FLX GB1_V2 1 V2 0 GB1_V2 CCME 5/28/08 FA6P1OK 0.5, g CCME XXQIITAXX pyrosequencing CCME lauber_88_soils 16S rRNA V2 0 400 2.0 GB1 False 12.2 6.098 2008 soil metagenome GAZ:United States of America 0-0.05 True 3750 ENVO:grassland ENVO:grassland soil ENVO:soil GB1 39.33333333 -111.45 6.84 False lauber_88_soils True XXQIITAXX 77 -112.3 mollisol Great Basin Experimental Range, UT USA 410658 clay loam Pyrosequencing-Based Assessment of Soil pH as a Predictor of Soil Bacterial Community Structure at the Continental Scale 28.2 0.0 soil metagenome 46.7856 320.0135039999999 2188.89236736 6_ +103.GB5 ACGAGTGCTATC CATGCTGCCTCCCGTAGGAGT GB5_V2 True lauber_88_soils CCME bacterial biogeography Pyrosequencing_based_assessment_of_soil_pH_as_a_predictor_of_soil_bacterial_community_structure_at_the_continental_scale Engencore TCAG 19502440 CA FWD:GCCTTGCCAGCCCGCTCAGTCAGAGTTTGATCCTGGCTCAG;REV:CATGCTGCCTCCCGTAGGAGT False FLX GB5_V2 1 V2 0 GB5_V2 CCME 5/28/08 FA6P1OK 0.5, g CCME XXQIITAXX pyrosequencing CCME lauber_88_soils 16S rRNA V2 0 400 4.8 GB5 False 11.8 6.3389999999999995 2008 soil metagenome GAZ:United States of America 0-0.05 True 2160 ENVO:shrubland ENVO:shrubland ENVO:soil GB5 39.35 -111.58333329999999 8.22 False lauber_88_soils True XXQIITAXX 70 -47.4 mollisol Great Basin Experimental Range, UT USA 410658 silt loam Pyrosequencing-Based Assessment of Soil pH as a Predictor of Soil Bacterial Community Structure at the Continental Scale 16.8 10.7 soil metagenome 67.56840000000001 555.4122480000002 4565.488678560001 8_ +103.CM1 ACATCACTTAGC CATGCTGCCTCCCGTAGGAGT CM1_V2 True lauber_88_soils CCME bacterial biogeography Pyrosequencing_based_assessment_of_soil_pH_as_a_predictor_of_soil_bacterial_community_structure_at_the_continental_scale Engencore TCAG 19502440 CA FWD:GCCTTGCCAGCCCGCTCAGTCAGAGTTTGATCCTGGCTCAG;REV:CATGCTGCCTCCCGTAGGAGT False FLX CM1_V2 1 V2 0 CM1_V2 CCME 5/28/08 FA6P1OK 0.5, g CCME XXQIITAXX pyrosequencing CCME lauber_88_soils 16S rRNA V2 0 850 18.5 CM1 False 12.4 2.043 2008 soil metagenome GAZ:United States of America 0-0.05 True 200 ENVO:Temperate grasslands ENVO:grassland soil ENVO:soil CM1 33.3 -96.23333333 7.85 False lauber_88_soils True XXQIITAXX 82 155.2 mollisol Clymer Meadow Preserve, TX USA 410658 silty clay Pyrosequencing-Based Assessment of Soil pH as a Predictor of Soil Bacterial Community Structure at the Continental Scale 29.9 10.2 soil metagenome 61.6225 483.736625 3797.33250625 7_ +103.HJ1 ACGGATCGTCAG CATGCTGCCTCCCGTAGGAGT HJ1_V2 True lauber_88_soils CCME bacterial biogeography Pyrosequencing_based_assessment_of_soil_pH_as_a_predictor_of_soil_bacterial_community_structure_at_the_continental_scale Engencore TCAG 19502440 CA FWD:GCCTTGCCAGCCCGCTCAGTCAGAGTTTGATCCTGGCTCAG;REV:CATGCTGCCTCCCGTAGGAGT False FLX HJ1_V2 1 V2 0 HJ1_V2 CCME 5/28/08 FA6P1OK 0.5, g CCME XXQIITAXX pyrosequencing CCME lauber_88_soils 16S rRNA V2 0 2000 9.4 HJ1 False 36.6 5.079 2008 soil metagenome GAZ:United States of America 0-0.05 True 700 ENVO:Temperate broadleaf and mixed forest biome ENVO:forest soil ENVO:soil HJ1 44.21666667 -122.15 5.41 False lauber_88_soils True XXQIITAXX 41 -1507.0 andisol H.J. Andrews Experimental Forest, OR USA 410658 sandy loam Pyrosequencing-Based Assessment of Soil pH as a Predictor of Soil Bacterial Community Structure at the Continental Scale 69.5 0.0 soil metagenome 29.2681 158.34042100000005 856.6216776100001 5_ +103.HJ2 ACGGTGAGTGTC CATGCTGCCTCCCGTAGGAGT HJ2_V2 True lauber_88_soils CCME bacterial biogeography Pyrosequencing_based_assessment_of_soil_pH_as_a_predictor_of_soil_bacterial_community_structure_at_the_continental_scale Engencore TCAG 19502440 CA FWD:GCCTTGCCAGCCCGCTCAGTCAGAGTTTGATCCTGGCTCAG;REV:CATGCTGCCTCCCGTAGGAGT False FLX HJ2_V2 1 V2 0 HJ2_V2 CCME 5/28/08 FA6P1OK 0.5, g CCME XXQIITAXX pyrosequencing CCME lauber_88_soils 16S rRNA V2 0 2000 9.4 HJ2 False 26.1 4.532 2008 soil metagenome GAZ:United States of America 0-0.05 True 700 ENVO:Temperate broadleaf and mixed forest biome ENVO:forest soil ENVO:soil HJ2 44.21666667 -122.15 5.36 False lauber_88_soils True XXQIITAXX 47 -1507.0 andisol H.J. Andrews Experimental Forest, OR USA 410658 sandy loam Pyrosequencing-Based Assessment of Soil pH as a Predictor of Soil Bacterial Community Structure at the Continental Scale 76.1 0.0 soil metagenome 28.729600000000005 153.99065600000003 825.3899161600003 5_ +103.AR1 AACGCACGCTAG CATGCTGCCTCCCGTAGGAGT AR1_V2 True lauber_88_soils CCME bacterial biogeography Pyrosequencing_based_assessment_of_soil_pH_as_a_predictor_of_soil_bacterial_community_structure_at_the_continental_scale Engencore TCAG 19502440 CA FWD:GCCTTGCCAGCCCGCTCAGTCAGAGTTTGATCCTGGCTCAG;REV:CATGCTGCCTCCCGTAGGAGT False FLX AR1_V2 1 V2 0 AR1_V2 CCME 5/28/08 FA6P1OK 0.5, g CCME XXQIITAXX pyrosequencing CCME lauber_88_soils 16S rRNA V2 0 1400 23.0 AR1 False 8.98 4.3 2008 soil metagenome GAZ:Argentina 0-0.05 True 150 ENVO:Tropical humid forests ENVO:tropical soil ENVO:soil AR1 -27.73333333 -55.68333333 5.8 False lauber_88_soils True XXQIITAXX 80 -206.0 oxisol Misiones, Argentina 410658 clay Pyrosequencing-Based Assessment of Soil pH as a Predictor of Soil Bacterial Community Structure at the Continental Scale 22.1 0.0 soil metagenome 33.64 195.112 1131.6496 5_ +103.AR2 AACTCGTCGATG CATGCTGCCTCCCGTAGGAGT AR2_V2 True lauber_88_soils CCME bacterial biogeography Pyrosequencing_based_assessment_of_soil_pH_as_a_predictor_of_soil_bacterial_community_structure_at_the_continental_scale Engencore TCAG 19502440 CA FWD:GCCTTGCCAGCCCGCTCAGTCAGAGTTTGATCCTGGCTCAG;REV:CATGCTGCCTCCCGTAGGAGT False FLX AR2_V2 1 V2 0 AR2_V2 CCME 5/28/08 FA6P1OK 0.5, g CCME XXQIITAXX pyrosequencing CCME lauber_88_soils 16S rRNA V2 0 1400 23.0 AR2 False 9.36 3.9 2008 soil metagenome GAZ:Argentina 0-0.05 True 150 ENVO:Tropical humid forests ENVO:tropical soil ENVO:soil AR2 -27.73333333 -55.68333333 6.0 False lauber_88_soils True XXQIITAXX 78 -206.0 oxisol Misiones, Argentina 410658 clay Pyrosequencing-Based Assessment of Soil pH as a Predictor of Soil Bacterial Community Structure at the Continental Scale 21.7 0.0 soil metagenome 36.0 216.0 1296.0 6_ +103.AR3 AACTGTGCGTAC CATGCTGCCTCCCGTAGGAGT AR3_V2 True lauber_88_soils CCME bacterial biogeography Pyrosequencing_based_assessment_of_soil_pH_as_a_predictor_of_soil_bacterial_community_structure_at_the_continental_scale Engencore TCAG 19502440 CA FWD:GCCTTGCCAGCCCGCTCAGTCAGAGTTTGATCCTGGCTCAG;REV:CATGCTGCCTCCCGTAGGAGT False FLX AR3_V2 1 V2 0 AR3_V2 CCME 5/28/08 FA6P1OK 0.5, g CCME XXQIITAXX pyrosequencing CCME lauber_88_soils 16S rRNA V2 0 1400 23.0 AR3 False 9.844 4.5 2008 soil metagenome GAZ:Argentina 0-0.05 True 150 ENVO:Tropical humid forests ENVO:tropical soil ENVO:soil AR3 -27.73333333 -55.68333333 5.9 False lauber_88_soils True XXQIITAXX 82 -206.0 oxisol Misiones, Argentina 410658 clay Pyrosequencing-Based Assessment of Soil pH as a Predictor of Soil Bacterial Community Structure at the Continental Scale 24.4 0.0 soil metagenome 34.81 205.37900000000005 1211.7361000000005 5_ +103.SF2 AGCACACCTACA CATGCTGCCTCCCGTAGGAGT SF2_V2 True lauber_88_soils CCME bacterial biogeography Pyrosequencing_based_assessment_of_soil_pH_as_a_predictor_of_soil_bacterial_community_structure_at_the_continental_scale Engencore TCAG 19502440 CA FWD:GCCTTGCCAGCCCGCTCAGTCAGAGTTTGATCCTGGCTCAG;REV:CATGCTGCCTCCCGTAGGAGT False FLX SF2_V2 1 V2 0 SF2_V2 CCME 5/28/08 FA6P1OK 0.5, g CCME XXQIITAXX pyrosequencing CCME lauber_88_soils 16S rRNA V2 0 250 13.0 SF2 False 8.14 4.0 2008 soil metagenome GAZ:United States of America 0-0.05 True 1500 ENVO:shrubland ENVO:shrubland ENVO:soil SF2 35.38333333 -105.93333329999999 8.38 False lauber_88_soils True XXQIITAXX 58 494.0 aridisol Santa Fe, NM USA 410658 clay loam Pyrosequencing-Based Assessment of Soil pH as a Predictor of Soil Bacterial Community Structure at the Continental Scale 4.2 7.4 soil metagenome 70.22440000000002 588.4804720000002 4931.466355360002 8_ +103.SF1 AGATGTTCTGCT CATGCTGCCTCCCGTAGGAGT SF1_V2 True lauber_88_soils CCME bacterial biogeography Pyrosequencing_based_assessment_of_soil_pH_as_a_predictor_of_soil_bacterial_community_structure_at_the_continental_scale Engencore TCAG 19502440 CA FWD:GCCTTGCCAGCCCGCTCAGTCAGAGTTTGATCCTGGCTCAG;REV:CATGCTGCCTCCCGTAGGAGT False FLX SF1_V2 1 V2 0 SF1_V2 CCME 5/28/08 FA6P1OK 0.5, g CCME XXQIITAXX pyrosequencing CCME lauber_88_soils 16S rRNA V2 0 250 13.0 SF1 False 9.92 7.6 2008 soil metagenome GAZ:United States of America 0-0.05 True 1500 ENVO:shrubland ENVO:shrubland ENVO:soil SF1 35.38333333 -105.93333329999999 7.71 False lauber_88_soils True XXQIITAXX 60 494.0 aridisol Santa Fe, NM USA 410658 clay loam Pyrosequencing-Based Assessment of Soil pH as a Predictor of Soil Bacterial Community Structure at the Continental Scale 14.2 6.9 soil metagenome 59.4441 458.31401100000005 3533.60102481 7_ +103.SN3 AGCGACTGTGCA CATGCTGCCTCCCGTAGGAGT SN3_V2 True lauber_88_soils CCME bacterial biogeography Pyrosequencing_based_assessment_of_soil_pH_as_a_predictor_of_soil_bacterial_community_structure_at_the_continental_scale Engencore TCAG 19502440 CA FWD:GCCTTGCCAGCCCGCTCAGTCAGAGTTTGATCCTGGCTCAG;REV:CATGCTGCCTCCCGTAGGAGT False FLX SN3_V2 1 V2 0 SN3_V2 CCME 5/28/08 FA6P1OK 0.5, g CCME XXQIITAXX pyrosequencing CCME lauber_88_soils 16S rRNA V2 0 600 3.6 SN3 False 13.9 6.289 2008 soil metagenome GAZ:United States of America 0-0.05 True 3000 ENVO:shrubland ENVO:shrubland ENVO:soil SN3 36.45 -118.16666670000001 5.74 False lauber_88_soils True XXQIITAXX 20 -251.6 inceptisol Sierra Nevada Mts., CA USA 410658 loamy sand Pyrosequencing-Based Assessment of Soil pH as a Predictor of Soil Bacterial Community Structure at the Continental Scale 16.6 0.0 soil metagenome 32.9476 189.11922400000003 1085.5443457600004 5_ +103.SN1 AGCATATGAGAG CATGCTGCCTCCCGTAGGAGT SN1_V2 True lauber_88_soils CCME bacterial biogeography Pyrosequencing_based_assessment_of_soil_pH_as_a_predictor_of_soil_bacterial_community_structure_at_the_continental_scale Engencore TCAG 19502440 CA FWD:GCCTTGCCAGCCCGCTCAGTCAGAGTTTGATCCTGGCTCAG;REV:CATGCTGCCTCCCGTAGGAGT False FLX SN1_V2 1 V2 0 SN1_V2 CCME 5/28/08 FA6P1OK 0.5, g CCME XXQIITAXX pyrosequencing CCME lauber_88_soils 16S rRNA V2 0 600 3.6 SN1 False 22.0 12.995999999999999 2008 soil metagenome GAZ:United States of America 0-0.05 True 3000 ENVO:Temperate broadleaf and mixed forest biome ENVO:forest soil ENVO:soil SN1 36.45 -118.16666670000001 4.95 False lauber_88_soils True XXQIITAXX 20 -251.6 inceptisol Sierra Nevada Mts., CA USA 410658 loamy sand Pyrosequencing-Based Assessment of Soil pH as a Predictor of Soil Bacterial Community Structure at the Continental Scale 42.5 0.0 soil metagenome 24.5025 121.287375 600.3725062500001 4_ +103.KP4 ACTAGCTCCATA CATGCTGCCTCCCGTAGGAGT KP4_V2 True lauber_88_soils CCME bacterial biogeography Pyrosequencing_based_assessment_of_soil_pH_as_a_predictor_of_soil_bacterial_community_structure_at_the_continental_scale Engencore TCAG 19502440 CA FWD:GCCTTGCCAGCCCGCTCAGTCAGAGTTTGATCCTGGCTCAG;REV:CATGCTGCCTCCCGTAGGAGT False FLX KP4_V2 1 V2 0 KP4_V2 CCME 5/28/08 FA6P1OK 0.5, g CCME XXQIITAXX pyrosequencing CCME lauber_88_soils 16S rRNA V2 0 835 12.5 KP4 False 13.892000000000001 16.0 2008 soil metagenome GAZ:United States of America 0-0.05 True 100 ENVO:shrubland ENVO:grassland soil ENVO:soil KP4 39.1 -96.6 7.1 False lauber_88_soils True XXQIITAXX 77 -80.5 mollisol Konza Prairie LTER, KS USA 410658 silt loam Pyrosequencing-Based Assessment of Soil pH as a Predictor of Soil Bacterial Community Structure at the Continental Scale 39.8 0.0 soil metagenome 50.41 357.91099999999994 2541.1680999999994 7_ +103.TL3 AGGCTACACGAC CATGCTGCCTCCCGTAGGAGT TL3_V2 True lauber_88_soils CCME bacterial biogeography Pyrosequencing_based_assessment_of_soil_pH_as_a_predictor_of_soil_bacterial_community_structure_at_the_continental_scale Engencore TCAG 19502440 CA FWD:GCCTTGCCAGCCCGCTCAGTCAGAGTTTGATCCTGGCTCAG;REV:CATGCTGCCTCCCGTAGGAGT False FLX TL3_V2 1 V2 0 TL3_V2 CCME 5/28/08 FA6P1OK 0.5, g CCME XXQIITAXX pyrosequencing CCME lauber_88_soils 16S rRNA V2 0 400 -9.3 TL3 False 24.6 16.456 2008 soil metagenome GAZ:United States of America 0-0.05 True 894 ENVO:shrubland ENVO:shrubland ENVO:soil TL3 68.63333333 -149.58333330000005 4.23 False lauber_88_soils True XXQIITAXX 52 -211.8 gelisol Toolik Lake LTER, AK USA 410658 loam Pyrosequencing-Based Assessment of Soil pH as a Predictor of Soil Bacterial Community Structure at the Continental Scale 53.9 0.0 soil metagenome 17.892900000000004 75.68696700000002 320.1558704100001 4_ +103.TL2 AGGACGCACTGT CATGCTGCCTCCCGTAGGAGT TL2_V2 True lauber_88_soils CCME bacterial biogeography Pyrosequencing_based_assessment_of_soil_pH_as_a_predictor_of_soil_bacterial_community_structure_at_the_continental_scale Engencore TCAG 19502440 CA FWD:GCCTTGCCAGCCCGCTCAGTCAGAGTTTGATCCTGGCTCAG;REV:CATGCTGCCTCCCGTAGGAGT False FLX TL2_V2 1 V2 0 TL2_V2 CCME 5/28/08 FA6P1OK 0.5, g CCME XXQIITAXX pyrosequencing CCME lauber_88_soils 16S rRNA V2 0 400 -9.3 TL2 False 16.6 12.092 2008 soil metagenome GAZ:United States of America 0-0.05 True 894 ENVO:shrubland ENVO:shrubland ENVO:soil TL2 68.63333333 -149.58333330000005 6.47 False lauber_88_soils True XXQIITAXX 61 -211.8 gelisol Toolik Lake LTER, AK USA 410658 silt loam Pyrosequencing-Based Assessment of Soil pH as a Predictor of Soil Bacterial Community Structure at the Continental Scale 158.3 0.0 soil metagenome 41.8609 270.840023 1752.3349488099998 6_ +103.TL1 AGCTTGACAGCT CATGCTGCCTCCCGTAGGAGT TL1_V2 True lauber_88_soils CCME bacterial biogeography Pyrosequencing_based_assessment_of_soil_pH_as_a_predictor_of_soil_bacterial_community_structure_at_the_continental_scale Engencore TCAG 19502440 CA FWD:GCCTTGCCAGCCCGCTCAGTCAGAGTTTGATCCTGGCTCAG;REV:CATGCTGCCTCCCGTAGGAGT False FLX TL1_V2 1 V2 0 TL1_V2 CCME 5/28/08 FA6P1OK 0.5, g CCME XXQIITAXX pyrosequencing CCME lauber_88_soils 16S rRNA V2 0 400 -9.3 TL1 False 18.7 9.241 2008 soil metagenome GAZ:United States of America 0-0.05 True 894 ENVO:grassland ENVO:grassland soil ENVO:soil TL1 68.63333333 -149.58333330000005 4.58 False lauber_88_soils True XXQIITAXX 57 -211.8 gelisol Toolik Lake LTER, AK USA 410658 loam Pyrosequencing-Based Assessment of Soil pH as a Predictor of Soil Bacterial Community Structure at the Continental Scale 70.2 0.0 soil metagenome 20.9764 96.071912 440.00935696000016 4_ +103.KP3 ACTACGTGTGGT CATGCTGCCTCCCGTAGGAGT KP3_V2 True lauber_88_soils CCME bacterial biogeography Pyrosequencing_based_assessment_of_soil_pH_as_a_predictor_of_soil_bacterial_community_structure_at_the_continental_scale Engencore TCAG 19502440 CA FWD:GCCTTGCCAGCCCGCTCAGTCAGAGTTTGATCCTGGCTCAG;REV:CATGCTGCCTCCCGTAGGAGT False FLX KP3_V2 1 V2 0 KP3_V2 CCME 5/28/08 FA6P1OK 0.5, g CCME XXQIITAXX pyrosequencing CCME lauber_88_soils 16S rRNA V2 0 835 12.5 KP3 False 17.7 1.9480000000000002 2008 soil metagenome GAZ:United States of America 0-0.05 True 100 ENVO:shrubland ENVO:shrubland ENVO:soil KP3 39.1 -96.6 7.92 False lauber_88_soils True XXQIITAXX 76 -80.5 mollisol Konza Prairie LTER, KS USA 410658 silt loam Pyrosequencing-Based Assessment of Soil pH as a Predictor of Soil Bacterial Community Structure at the Continental Scale 68.9 0.0 soil metagenome 62.7264 496.793088 3934.60125696 7_ +103.MT2 ACTGTGACTTCA CATGCTGCCTCCCGTAGGAGT MT2_V2 True lauber_88_soils CCME bacterial biogeography Pyrosequencing_based_assessment_of_soil_pH_as_a_predictor_of_soil_bacterial_community_structure_at_the_continental_scale Engencore TCAG 19502440 CA FWD:GCCTTGCCAGCCCGCTCAGTCAGAGTTTGATCCTGGCTCAG;REV:CATGCTGCCTCCCGTAGGAGT False FLX MT2_V2 1 V2 0 MT2_V2 CCME 5/28/08 FA6P1OK 0.5, g CCME XXQIITAXX pyrosequencing CCME lauber_88_soils 16S rRNA V2 0 450 7.0 MT2 False 23.087 19.7 2008 soil metagenome GAZ:United States of America 0-0.05 True 1000 ENVO:forest ENVO:forest soil ENVO:soil MT2 46.8 -114.0 6.66 False lauber_88_soils True XXQIITAXX 35 70.0 inceptisol Missoula, MT USA 410658 sandy loam Pyrosequencing-Based Assessment of Soil pH as a Predictor of Soil Bacterial Community Structure at the Continental Scale 39.1 0.0 soil metagenome 44.3556 295.408296 1967.41925136 6_ +103.MT1 ACTGTCGAAGCT CATGCTGCCTCCCGTAGGAGT MT1_V2 True lauber_88_soils CCME bacterial biogeography Pyrosequencing_based_assessment_of_soil_pH_as_a_predictor_of_soil_bacterial_community_structure_at_the_continental_scale Engencore TCAG 19502440 CA FWD:GCCTTGCCAGCCCGCTCAGTCAGAGTTTGATCCTGGCTCAG;REV:CATGCTGCCTCCCGTAGGAGT False FLX MT1_V2 1 V2 0 MT1_V2 CCME 5/28/08 FA6P1OK 0.5, g CCME XXQIITAXX pyrosequencing CCME lauber_88_soils 16S rRNA V2 0 450 7.0 MT1 False 16.007 26.9 2008 soil metagenome GAZ:United States of America 0-0.05 True 1000 ENVO:forest ENVO:forest soil ENVO:soil MT1 46.8 -114.0 7.57 False lauber_88_soils True XXQIITAXX 30 70.0 inceptisol Missoula, MT USA 410658 sandy loam Pyrosequencing-Based Assessment of Soil pH as a Predictor of Soil Bacterial Community Structure at the Continental Scale 105.4 0.0 soil metagenome 57.3049 433.79809300000005 3283.8515640100004 7_ +103.VC1 AGGTGTGATCGC CATGCTGCCTCCCGTAGGAGT VC1_V2 True lauber_88_soils CCME bacterial biogeography Pyrosequencing_based_assessment_of_soil_pH_as_a_predictor_of_soil_bacterial_community_structure_at_the_continental_scale Engencore TCAG 19502440 CA FWD:GCCTTGCCAGCCCGCTCAGTCAGAGTTTGATCCTGGCTCAG;REV:CATGCTGCCTCCCGTAGGAGT False FLX VC1_V2 1 V2 0 VC1_V2 CCME 5/28/08 FA6P1OK 0.5, g CCME XXQIITAXX pyrosequencing CCME lauber_88_soils 16S rRNA V2 0 500 2.5 VC1 False 17.0 15.209000000000001 2008 soil metagenome GAZ:United States of America 0-0.05 True 2746 ENVO:forest ENVO:forest soil ENVO:soil VC1 35.9 -106.55 5.55 False lauber_88_soils True XXQIITAXX 41 -174.5 mollisol Valles Caldera, NM USA 410658 sandy loam Pyrosequencing-Based Assessment of Soil pH as a Predictor of Soil Bacterial Community Structure at the Continental Scale 56.7 0.0 soil metagenome 30.8025 170.95387499999995 948.7940062499997 5_ +103.VC2 AGTACGCTCGAG CATGCTGCCTCCCGTAGGAGT VC2_V2 True lauber_88_soils CCME bacterial biogeography Pyrosequencing_based_assessment_of_soil_pH_as_a_predictor_of_soil_bacterial_community_structure_at_the_continental_scale Engencore TCAG 19502440 CA FWD:GCCTTGCCAGCCCGCTCAGTCAGAGTTTGATCCTGGCTCAG;REV:CATGCTGCCTCCCGTAGGAGT False FLX VC2_V2 1 V2 0 VC2_V2 CCME 5/28/08 FA6P1OK 0.5, g CCME XXQIITAXX pyrosequencing CCME lauber_88_soils 16S rRNA V2 0 500 2.5 VC2 False 11.5 6.265 2008 soil metagenome GAZ:United States of America 0-0.05 True 2733 ENVO:grassland ENVO:grassland soil ENVO:soil VC2 35.9 -106.55 5.99 False lauber_88_soils True XXQIITAXX 59 -174.5 mollisol Valles Caldera, NM USA 410658 loam Pyrosequencing-Based Assessment of Soil pH as a Predictor of Soil Bacterial Community Structure at the Continental Scale 34.4 0.0 soil metagenome 35.88010000000001 214.92179900000002 1287.38157601 5_ +103.CL1 ACAGCAGTGGTC CATGCTGCCTCCCGTAGGAGT CL1_V2 True lauber_88_soils CCME bacterial biogeography Pyrosequencing_based_assessment_of_soil_pH_as_a_predictor_of_soil_bacterial_community_structure_at_the_continental_scale Engencore TCAG 19502440 CA FWD:GCCTTGCCAGCCCGCTCAGTCAGAGTTTGATCCTGGCTCAG;REV:CATGCTGCCTCCCGTAGGAGT False FLX CL1_V2 1 V2 0 CL1_V2 CCME 5/28/08 FA6P1OK 0.5, g CCME XXQIITAXX pyrosequencing CCME lauber_88_soils 16S rRNA V2 0 1250 15.9 CL1 False 19.6 4.6419999999999995 2008 soil metagenome GAZ:United States of America 0-0.05 True 150 ENVO:Temperate broadleaf and mixed forest biome ENVO:forest soil ENVO:soil CL1 34.61666667 -81.66666667 5.68 False lauber_88_soils True XXQIITAXX 35 -420.1 ultisol Calhoun Experimental Forest, SC USA 410658 sandy loam Pyrosequencing-Based Assessment of Soil pH as a Predictor of Soil Bacterial Community Structure at the Continental Scale 23.3 0.0 soil metagenome 32.2624 183.25043200000002 1040.86245376 5_ +103.CL2 ACAGCTAGCTTG CATGCTGCCTCCCGTAGGAGT CL2_V2 True lauber_88_soils CCME bacterial biogeography Pyrosequencing_based_assessment_of_soil_pH_as_a_predictor_of_soil_bacterial_community_structure_at_the_continental_scale Engencore TCAG 19502440 CA FWD:GCCTTGCCAGCCCGCTCAGTCAGAGTTTGATCCTGGCTCAG;REV:CATGCTGCCTCCCGTAGGAGT False FLX CL2_V2 1 V2 0 CL2_V2 CCME 5/28/08 FA6P1OK 0.5, g CCME XXQIITAXX pyrosequencing CCME lauber_88_soils 16S rRNA V2 0 1250 15.9 CL2 False 12.8 4.07 2008 soil metagenome GAZ:United States of America 0-0.05 True 150 ENVO:Temperate grasslands ENVO:grassland soil ENVO:soil CL2 34.61666667 -81.66666667 5.57 False lauber_88_soils True XXQIITAXX 25 -420.1 ultisol Calhoun Experimental Forest, SC USA 410658 sandy loam Pyrosequencing-Based Assessment of Soil pH as a Predictor of Soil Bacterial Community Structure at the Continental Scale 22.7 0.0 soil metagenome 31.0249 172.80869300000003 962.5444200100003 5_ +103.CL3 ACAGTGCTTCAT CATGCTGCCTCCCGTAGGAGT CL3_V2 True lauber_88_soils CCME bacterial biogeography Pyrosequencing_based_assessment_of_soil_pH_as_a_predictor_of_soil_bacterial_community_structure_at_the_continental_scale Engencore TCAG 19502440 CA FWD:GCCTTGCCAGCCCGCTCAGTCAGAGTTTGATCCTGGCTCAG;REV:CATGCTGCCTCCCGTAGGAGT False FLX CL3_V2 1 V2 0 CL3_V2 CCME 5/28/08 FA6P1OK 0.5, g CCME XXQIITAXX pyrosequencing CCME lauber_88_soils 16S rRNA V2 0 1250 15.9 CL3 False 24.3 4.145 2008 soil metagenome GAZ:United States of America 0-0.05 True 150 ENVO:Temperate broadleaf and mixed forest biome ENVO:forest soil ENVO:soil CL3 34.61666667 -81.66666667 4.89 False lauber_88_soils True XXQIITAXX 19 -420.1 ultisol Calhoun Experimental Forest, SC USA 410658 loamy sand Pyrosequencing-Based Assessment of Soil pH as a Predictor of Soil Bacterial Community Structure at the Continental Scale 12.1 0.0 soil metagenome 23.912099999999995 116.93016899999998 571.7885264099998 4_ +103.CL4 ACAGTTGCGCGA CATGCTGCCTCCCGTAGGAGT CL4_V2 True lauber_88_soils CCME bacterial biogeography Pyrosequencing_based_assessment_of_soil_pH_as_a_predictor_of_soil_bacterial_community_structure_at_the_continental_scale Engencore TCAG 19502440 CA FWD:GCCTTGCCAGCCCGCTCAGTCAGAGTTTGATCCTGGCTCAG;REV:CATGCTGCCTCCCGTAGGAGT False FLX CL4_V2 1 V2 0 CL4_V2 CCME 5/28/08 FA6P1OK 0.5, g CCME XXQIITAXX pyrosequencing CCME lauber_88_soils 16S rRNA V2 0 1250 15.9 CL4 False 13.7 2.234 2008 soil metagenome GAZ:United States of America 0-0.05 True 150 ENVO:Temperate grasslands ENVO:grassland soil ENVO:soil CL4 34.61666667 -81.66666667 5.03 False lauber_88_soils True XXQIITAXX 36 -420.1 ultisol Calhoun Experimental Forest, SC USA 410658 sandy loam Pyrosequencing-Based Assessment of Soil pH as a Predictor of Soil Bacterial Community Structure at the Continental Scale 17.1 0.0 soil metagenome 25.3009 127.26352700000002 640.1355408100002 5_ +103.SP1 AGCGAGCTATCT CATGCTGCCTCCCGTAGGAGT SP1_V2 True lauber_88_soils CCME bacterial biogeography Pyrosequencing_based_assessment_of_soil_pH_as_a_predictor_of_soil_bacterial_community_structure_at_the_continental_scale Engencore TCAG 19502440 CA FWD:GCCTTGCCAGCCCGCTCAGTCAGAGTTTGATCCTGGCTCAG;REV:CATGCTGCCTCCCGTAGGAGT False FLX SP1_V2 1 V2 0 SP1_V2 CCME 5/28/08 FA6P1OK 0.5, g CCME XXQIITAXX pyrosequencing CCME lauber_88_soils 16S rRNA V2 0 650 12.7 SP1 False 18.5 7.709 2008 soil metagenome GAZ:United States of America 0-0.05 True 650 ENVO:shrubland ENVO:shrubland ENVO:soil SP1 36.5 -118.7 6.25 False lauber_88_soils True XXQIITAXX 36 16.6 inceptisol Sequoia National Park, CA USA 410658 sandy loam Pyrosequencing-Based Assessment of Soil pH as a Predictor of Soil Bacterial Community Structure at the Continental Scale 16.8 0.0 soil metagenome 39.0625 244.140625 1525.87890625 6_ +103.SP2 AGCGCTGATGTG CATGCTGCCTCCCGTAGGAGT SP2_V2 True lauber_88_soils CCME bacterial biogeography Pyrosequencing_based_assessment_of_soil_pH_as_a_predictor_of_soil_bacterial_community_structure_at_the_continental_scale Engencore TCAG 19502440 CA FWD:GCCTTGCCAGCCCGCTCAGTCAGAGTTTGATCCTGGCTCAG;REV:CATGCTGCCTCCCGTAGGAGT False FLX SP2_V2 1 V2 0 SP2_V2 CCME 5/28/08 FA6P1OK 0.5, g CCME XXQIITAXX pyrosequencing CCME lauber_88_soils 16S rRNA V2 0 750 3.6 SP2 False 15.9 6.535 2008 soil metagenome GAZ:United States of America 0-0.05 True 3215 ENVO:Temperate grasslands ENVO:grassland soil ENVO:soil SP2 36.61666667 -118.63333329999999 5.13 False lauber_88_soils True XXQIITAXX 24 -401.6 entisol Sequoia National Park, CA USA 410658 loamy sand Pyrosequencing-Based Assessment of Soil pH as a Predictor of Soil Bacterial Community Structure at the Continental Scale 81.0 0.0 soil metagenome 26.3169 135.005697 692.57922561 5_ +103.MD4 ACTCTTCTAGAG CATGCTGCCTCCCGTAGGAGT MD4_V2 True lauber_88_soils CCME bacterial biogeography Pyrosequencing_based_assessment_of_soil_pH_as_a_predictor_of_soil_bacterial_community_structure_at_the_continental_scale Engencore TCAG 19502440 CA FWD:GCCTTGCCAGCCCGCTCAGTCAGAGTTTGATCCTGGCTCAG;REV:CATGCTGCCTCCCGTAGGAGT False FLX MD4_V2 1 V2 0 MD4_V2 CCME 5/28/08 FA6P1OK 0.5, g CCME XXQIITAXX pyrosequencing CCME lauber_88_soils 16S rRNA V2 0 150 21.0 MD4 False 5.6 0.184 2008 soil metagenome GAZ:United States of America 0-0.05 True 776 ENVO:shrubland ENVO:shrubland ENVO:soil MD4 35.2 -115.86666670000001 8.86 False lauber_88_soils True XXQIITAXX 47 1086.7 aridisol Mojave Desert, CA USA 410658 sandy loam Pyrosequencing-Based Assessment of Soil pH as a Predictor of Soil Bacterial Community Structure at the Continental Scale 1.2 3.9 soil metagenome 78.49959999999999 695.5064559999997 6162.187200159999 8_ +103.MD5 ACTGACAGCCAT CATGCTGCCTCCCGTAGGAGT MD5_V2 True lauber_88_soils CCME bacterial biogeography Pyrosequencing_based_assessment_of_soil_pH_as_a_predictor_of_soil_bacterial_community_structure_at_the_continental_scale Engencore TCAG 19502440 CA FWD:GCCTTGCCAGCCCGCTCAGTCAGAGTTTGATCCTGGCTCAG;REV:CATGCTGCCTCCCGTAGGAGT False FLX MD5_V2 1 V2 0 MD5_V2 CCME 5/28/08 FA6P1OK 0.5, g CCME XXQIITAXX pyrosequencing CCME lauber_88_soils 16S rRNA V2 0 150 21.0 MD5 False 9.5 5.931 2008 soil metagenome GAZ:United States of America 0-0.05 True 776 ENVO:shrubland ENVO:shrubland ENVO:soil MD5 35.2 -115.86666670000001 8.07 False lauber_88_soils True XXQIITAXX 20 1086.7 aridisol Mojave Desert, CA USA 410658 loamy sand Pyrosequencing-Based Assessment of Soil pH as a Predictor of Soil Bacterial Community Structure at the Continental Scale 5.7 1.8 soil metagenome 65.12490000000001 525.557943 4241.2526000100015 8_ +103.MD2 ACTCGATTCGAT CATGCTGCCTCCCGTAGGAGT MD2_V2 True lauber_88_soils CCME bacterial biogeography Pyrosequencing_based_assessment_of_soil_pH_as_a_predictor_of_soil_bacterial_community_structure_at_the_continental_scale Engencore TCAG 19502440 CA FWD:GCCTTGCCAGCCCGCTCAGTCAGAGTTTGATCCTGGCTCAG;REV:CATGCTGCCTCCCGTAGGAGT False FLX MD2_V2 1 V2 0 MD2_V2 CCME 5/28/08 FA6P1OK 0.5, g CCME XXQIITAXX pyrosequencing CCME lauber_88_soils 16S rRNA V2 0 150 21.0 MD2 False 8.8 1.97 2008 soil metagenome GAZ:United States of America 0-0.05 True 967 ENVO:shrubland ENVO:shrubland ENVO:soil MD2 34.9 -115.6 7.65 False lauber_88_soils True XXQIITAXX 26 1053.8 aridisol Mojave Desert, CA USA 410658 sandy loam Pyrosequencing-Based Assessment of Soil pH as a Predictor of Soil Bacterial Community Structure at the Continental Scale 4.2 0.0 soil metagenome 58.52250000000001 447.69712500000014 3424.883006250001 7_ +103.SA2 AGATCGGCTCGA CATGCTGCCTCCCGTAGGAGT SA2_V2 True lauber_88_soils CCME bacterial biogeography Pyrosequencing_based_assessment_of_soil_pH_as_a_predictor_of_soil_bacterial_community_structure_at_the_continental_scale Engencore TCAG 19502440 CA FWD:GCCTTGCCAGCCCGCTCAGTCAGAGTTTGATCCTGGCTCAG;REV:CATGCTGCCTCCCGTAGGAGT False FLX SA2_V2 1 V2 0 SA2_V2 CCME 5/28/08 FA6P1OK 0.5, g CCME XXQIITAXX pyrosequencing CCME lauber_88_soils 16S rRNA V2 0 400 10.3 SA2 False 17.0 6.317 2008 soil metagenome GAZ:United States of America 0-0.05 True 1905 ENVO:shrubland ENVO:shrubland ENVO:soil SA2 35.36666667 -111.55 8.1 False lauber_88_soils True XXQIITAXX 8 198.1 entisol Sunset Crater, AZ USA 410658 sand Pyrosequencing-Based Assessment of Soil pH as a Predictor of Soil Bacterial Community Structure at the Continental Scale 25.0 0.0 soil metagenome 65.61 531.4409999999998 4304.672099999999 8_ +103.SA1 AGATACACGCGC CATGCTGCCTCCCGTAGGAGT SA1_V2 True lauber_88_soils CCME bacterial biogeography Pyrosequencing_based_assessment_of_soil_pH_as_a_predictor_of_soil_bacterial_community_structure_at_the_continental_scale Engencore TCAG 19502440 CA FWD:GCCTTGCCAGCCCGCTCAGTCAGAGTTTGATCCTGGCTCAG;REV:CATGCTGCCTCCCGTAGGAGT False FLX SA1_V2 1 V2 0 SA1_V2 CCME 5/28/08 FA6P1OK 0.5, g CCME XXQIITAXX pyrosequencing CCME lauber_88_soils 16S rRNA V2 0 400 10.3 SA1 False 18.2 3.821 2008 soil metagenome GAZ:United States of America 0-0.05 True 1905 ENVO:forest ENVO:forest soil ENVO:soil SA1 35.36666667 -111.55 6.9 False lauber_88_soils True XXQIITAXX 9 198.1 entisol Sunset Crater, AZ USA 410658 sand Pyrosequencing-Based Assessment of Soil pH as a Predictor of Soil Bacterial Community Structure at the Continental Scale 22.9 0.0 soil metagenome 47.61000000000001 328.50900000000007 2266.712100000001 6_ +103.SK1 AGCACGAGCCTA CATGCTGCCTCCCGTAGGAGT SK1_V2 True lauber_88_soils CCME bacterial biogeography Pyrosequencing_based_assessment_of_soil_pH_as_a_predictor_of_soil_bacterial_community_structure_at_the_continental_scale Engencore TCAG 19502440 CA FWD:GCCTTGCCAGCCCGCTCAGTCAGAGTTTGATCCTGGCTCAG;REV:CATGCTGCCTCCCGTAGGAGT False FLX SK1_V2 1 V2 0 SK1_V2 CCME 5/28/08 FA6P1OK 0.5, g CCME XXQIITAXX pyrosequencing CCME lauber_88_soils 16S rRNA V2 0 467 0.4 SK1 False 31.6767 5.8 2008 soil metagenome GAZ:United States of America 0-0.05 True 579 ENVO:forest ENVO:forest soil ENVO:soil SK1 53.9 -104.7 5.45 False lauber_88_soils True XXQIITAXX 21 -13.0 mollisol BOREAS site, Saskatchewan, Canada 410658 loamy sand Pyrosequencing-Based Assessment of Soil pH as a Predictor of Soil Bacterial Community Structure at the Continental Scale 11.6 0.0 soil metagenome 29.7025 161.87862500000003 882.2385062500001 5_ +103.SK3 AGCAGTCGCGAT CATGCTGCCTCCCGTAGGAGT SK3_V2 True lauber_88_soils CCME bacterial biogeography Pyrosequencing_based_assessment_of_soil_pH_as_a_predictor_of_soil_bacterial_community_structure_at_the_continental_scale Engencore TCAG 19502440 CA FWD:GCCTTGCCAGCCCGCTCAGTCAGAGTTTGATCCTGGCTCAG;REV:CATGCTGCCTCCCGTAGGAGT False FLX SK3_V2 1 V2 0 SK3_V2 CCME 5/28/08 FA6P1OK 0.5, g CCME XXQIITAXX pyrosequencing CCME lauber_88_soils 16S rRNA V2 0 467 0.4 SK3 False 14.135 3.7 2008 soil metagenome GAZ:United States of America 0-0.05 True 601 ENVO:forest ENVO:forest soil ENVO:soil SK3 53.6 -106.2 5.83 False lauber_88_soils True XXQIITAXX 55 -13.0 mollisol BOREAS site, Saskatchewan, Canada 410658 loam Pyrosequencing-Based Assessment of Soil pH as a Predictor of Soil Bacterial Community Structure at the Continental Scale 8.5 0.0 soil metagenome 33.9889 198.15528700000002 1155.2453232100004 5_ +103.SK2 AGCAGCACTTGT CATGCTGCCTCCCGTAGGAGT SK2_V2 True lauber_88_soils CCME bacterial biogeography Pyrosequencing_based_assessment_of_soil_pH_as_a_predictor_of_soil_bacterial_community_structure_at_the_continental_scale Engencore TCAG 19502440 CA FWD:GCCTTGCCAGCCCGCTCAGTCAGAGTTTGATCCTGGCTCAG;REV:CATGCTGCCTCCCGTAGGAGT False FLX SK2_V2 1 V2 0 SK2_V2 CCME 5/28/08 FA6P1OK 0.5, g CCME XXQIITAXX pyrosequencing CCME lauber_88_soils 16S rRNA V2 0 467 0.4 SK2 False 24.345 6.5 2008 soil metagenome GAZ:United States of America 0-0.05 True 601 ENVO:forest ENVO:forest soil ENVO:soil SK2 53.98333333 -105.2 6.18 False lauber_88_soils True XXQIITAXX 35 -13.0 mollisol BOREAS site, Saskatchewan, Canada 410658 sandy loam Pyrosequencing-Based Assessment of Soil pH as a Predictor of Soil Bacterial Community Structure at the Continental Scale 24.9 0.0 soil metagenome 38.1924 236.02903199999997 1458.6594177599998 6_ +103.CO1 ACATGATCGTTC CATGCTGCCTCCCGTAGGAGT CO1_V2 True lauber_88_soils CCME bacterial biogeography Pyrosequencing_based_assessment_of_soil_pH_as_a_predictor_of_soil_bacterial_community_structure_at_the_continental_scale Engencore TCAG 19502440 CA FWD:GCCTTGCCAGCCCGCTCAGTCAGAGTTTGATCCTGGCTCAG;REV:CATGCTGCCTCCCGTAGGAGT False FLX CO1_V2 1 V2 0 CO1_V2 CCME 5/28/08 FA6P1OK 0.5, g CCME XXQIITAXX pyrosequencing CCME lauber_88_soils 16S rRNA V2 0 600 -3.0 CO1 False 19.1 4.477 2008 soil metagenome GAZ:United States of America 0-0.05 True 3800 ENVO:forest ENVO:forest soil ENVO:soil CO1 40.4 -105.7 6.13 False lauber_88_soils True XXQIITAXX 14 -308.8 inceptisol Fort Collins, CO USA 410658 sand Pyrosequencing-Based Assessment of Soil pH as a Predictor of Soil Bacterial Community Structure at the Continental Scale 15.9 0.0 soil metagenome 37.5769 230.346397 1412.0234136099998 6_ +103.CO3 ACATTCAGCGCA CATGCTGCCTCCCGTAGGAGT CO3_V2 True lauber_88_soils CCME bacterial biogeography Pyrosequencing_based_assessment_of_soil_pH_as_a_predictor_of_soil_bacterial_community_structure_at_the_continental_scale Engencore TCAG 19502440 CA FWD:GCCTTGCCAGCCCGCTCAGTCAGAGTTTGATCCTGGCTCAG;REV:CATGCTGCCTCCCGTAGGAGT False FLX CO3_V2 1 V2 0 CO3_V2 CCME 5/28/08 FA6P1OK 0.5, g CCME XXQIITAXX pyrosequencing CCME lauber_88_soils 16S rRNA V2 0 322 9.3 CO3 False 11.7 2.443 2008 soil metagenome GAZ:United States of America 0-0.05 True 1500 ENVO:grassland ENVO:grassland soil ENVO:soil CO3 40.8 -104.83333329999999 6.02 False lauber_88_soils True XXQIITAXX 24 230.6 mollisol Shortgrass Steppe LTER, CO USA 410658 sandy loam Pyrosequencing-Based Assessment of Soil pH as a Predictor of Soil Bacterial Community Structure at the Continental Scale 8.2 0.0 soil metagenome 36.2404 218.16720800000002 1313.3665921599995 6_ +103.CO2 ACATGTCACGTG CATGCTGCCTCCCGTAGGAGT CO2_V2 True lauber_88_soils CCME bacterial biogeography Pyrosequencing_based_assessment_of_soil_pH_as_a_predictor_of_soil_bacterial_community_structure_at_the_continental_scale Engencore TCAG 19502440 CA FWD:GCCTTGCCAGCCCGCTCAGTCAGAGTTTGATCCTGGCTCAG;REV:CATGCTGCCTCCCGTAGGAGT False FLX CO2_V2 1 V2 0 CO2_V2 CCME 5/28/08 FA6P1OK 0.5, g CCME XXQIITAXX pyrosequencing CCME lauber_88_soils 16S rRNA V2 0 350 6.1 CO2 False 31.8 9.222999999999999 2008 soil metagenome GAZ:United States of America 0-0.05 True 2400 ENVO:forest ENVO:forest soil ENVO:soil CO2 40.58333333 -105.33333329999999 5.68 False lauber_88_soils True XXQIITAXX 24 104.0 alfisol Fort Collins, CO USA 410658 sandy loam Pyrosequencing-Based Assessment of Soil pH as a Predictor of Soil Bacterial Community Structure at the Continental Scale 18.1 0.0 soil metagenome 32.2624 183.25043200000002 1040.86245376 5_ +103.PE1 ACTTGTAGCAGC CATGCTGCCTCCCGTAGGAGT PE1_V2 True lauber_88_soils CCME bacterial biogeography Pyrosequencing_based_assessment_of_soil_pH_as_a_predictor_of_soil_bacterial_community_structure_at_the_continental_scale Engencore TCAG 19502440 CA FWD:GCCTTGCCAGCCCGCTCAGTCAGAGTTTGATCCTGGCTCAG;REV:CATGCTGCCTCCCGTAGGAGT False FLX PE1_V2 1 V2 0 PE1_V2 CCME 5/28/08 FA6P1OK 0.5, g CCME XXQIITAXX pyrosequencing CCME lauber_88_soils 16S rRNA V2 0 2100 10.0 PE1 False 13.887 32.2 2008 soil metagenome GAZ:Peru 0-0.05 True 3250 ENVO:Tropical humid forests ENVO:tropical soil ENVO:soil PE1 -13.08333333 -71.58333333 4.12 False lauber_88_soils True XXQIITAXX 35 -2500.0 inceptisol Manu National Park, Peru 410658 sandy loam Pyrosequencing-Based Assessment of Soil pH as a Predictor of Soil Bacterial Community Structure at the Continental Scale 134.2 0.0 soil metagenome 16.9744 69.934528 288.1302553600001 4_ +103.PE2 AGAACACGTCTC CATGCTGCCTCCCGTAGGAGT PE2_V2 True lauber_88_soils CCME bacterial biogeography Pyrosequencing_based_assessment_of_soil_pH_as_a_predictor_of_soil_bacterial_community_structure_at_the_continental_scale Engencore TCAG 19502440 CA FWD:GCCTTGCCAGCCCGCTCAGTCAGAGTTTGATCCTGGCTCAG;REV:CATGCTGCCTCCCGTAGGAGT False FLX PE2_V2 1 V2 0 PE2_V2 CCME 5/28/08 FA6P1OK 0.5, g CCME XXQIITAXX pyrosequencing CCME lauber_88_soils 16S rRNA V2 0 2500 12.0 PE2 False 15.36 14.4 2008 soil metagenome GAZ:Peru 0-0.05 True 3250 ENVO:Tropical humid forests ENVO:tropical soil ENVO:soil PE2 -13.08333333 -71.58333333 4.11 False lauber_88_soils True XXQIITAXX 34 -2940.0 inceptisol Manu National Park, Peru 410658 sandy loam Pyrosequencing-Based Assessment of Soil pH as a Predictor of Soil Bacterial Community Structure at the Continental Scale 57.4 0.0 soil metagenome 16.892100000000006 69.42653100000001 285.34304241000007 4_ +103.PE3 AGACCGTCAGAC CATGCTGCCTCCCGTAGGAGT PE3_V2 True lauber_88_soils CCME bacterial biogeography Pyrosequencing_based_assessment_of_soil_pH_as_a_predictor_of_soil_bacterial_community_structure_at_the_continental_scale Engencore TCAG 19502440 CA FWD:GCCTTGCCAGCCCGCTCAGTCAGAGTTTGATCCTGGCTCAG;REV:CATGCTGCCTCCCGTAGGAGT False FLX PE3_V2 1 V2 0 PE3_V2 CCME 5/28/08 FA6P1OK 0.5, g CCME XXQIITAXX pyrosequencing CCME lauber_88_soils 16S rRNA V2 0 5500 16.0 PE3 False 16.84 31.8 2008 soil metagenome GAZ:Peru 0-0.05 True 2750 ENVO:Tropical humid forests ENVO:tropical soil ENVO:soil PE3 -13.08333333 -71.58333333 4.25 False lauber_88_soils True XXQIITAXX 40 -3270.0 inceptisol Manu National Park, Peru 410658 sandy loam Pyrosequencing-Based Assessment of Soil pH as a Predictor of Soil Bacterial Community Structure at the Continental Scale 130.9 0.0 soil metagenome 18.0625 76.765625 326.25390625 4_ +103.PE4 AGACGTGCACTG CATGCTGCCTCCCGTAGGAGT PE4_V2 True lauber_88_soils CCME bacterial biogeography Pyrosequencing_based_assessment_of_soil_pH_as_a_predictor_of_soil_bacterial_community_structure_at_the_continental_scale Engencore TCAG 19502440 CA FWD:GCCTTGCCAGCCCGCTCAGTCAGAGTTTGATCCTGGCTCAG;REV:CATGCTGCCTCCCGTAGGAGT False FLX PE4_V2 1 V2 0 PE4_V2 CCME 5/28/08 FA6P1OK 0.5, g CCME XXQIITAXX pyrosequencing CCME lauber_88_soils 16S rRNA V2 0 6200 17.0 PE4 False 18.45 15.5 2008 soil metagenome GAZ:Peru 0-0.05 True 2000 ENVO:Tropical humid forests ENVO:tropical soil ENVO:soil PE4 -13.08333333 -71.58333333 4.1 False lauber_88_soils True XXQIITAXX 32 -3700.0 inceptisol Manu National Park, Peru 410658 sandy loam Pyrosequencing-Based Assessment of Soil pH as a Predictor of Soil Bacterial Community Structure at the Continental Scale 59.5 0.0 soil metagenome 16.81 68.92099999999998 282.5760999999999 4_ +103.PE5 AGACTGCGTACT CATGCTGCCTCCCGTAGGAGT PE5_V2 True lauber_88_soils CCME bacterial biogeography Pyrosequencing_based_assessment_of_soil_pH_as_a_predictor_of_soil_bacterial_community_structure_at_the_continental_scale Engencore TCAG 19502440 CA FWD:GCCTTGCCAGCCCGCTCAGTCAGAGTTTGATCCTGGCTCAG;REV:CATGCTGCCTCCCGTAGGAGT False FLX PE5_V2 1 V2 0 PE5_V2 CCME 5/28/08 FA6P1OK 0.5, g CCME XXQIITAXX pyrosequencing CCME lauber_88_soils 16S rRNA V2 0 5000 23.0 PE5 False 14.55 25.0 2008 soil metagenome GAZ:Peru 0-0.05 True 1750 ENVO:Tropical humid forests ENVO:tropical soil ENVO:soil PE5 -12.63333333 -71.26666667 3.57 False lauber_88_soils True XXQIITAXX 70 -1900.0 oxisol Manu National Park, Peru 410658 clay loam Pyrosequencing-Based Assessment of Soil pH as a Predictor of Soil Bacterial Community Structure at the Continental Scale 93.6 0.0 soil metagenome 12.7449 45.499293 162.43247600999996 3_ +103.PE6 AGAGAGCAAGTG CATGCTGCCTCCCGTAGGAGT PE6_V2 True lauber_88_soils CCME bacterial biogeography Pyrosequencing_based_assessment_of_soil_pH_as_a_predictor_of_soil_bacterial_community_structure_at_the_continental_scale Engencore TCAG 19502440 CA FWD:GCCTTGCCAGCCCGCTCAGTCAGAGTTTGATCCTGGCTCAG;REV:CATGCTGCCTCCCGTAGGAGT False FLX PE6_V2 1 V2 0 PE6_V2 CCME 5/28/08 FA6P1OK 0.5, g CCME XXQIITAXX pyrosequencing CCME lauber_88_soils 16S rRNA V2 0 4000 25.0 PE6 False 10.12 13.4 2008 soil metagenome GAZ:Peru 0-0.05 True 860 ENVO:Tropical humid forests ENVO:tropical soil ENVO:soil PE6 -12.65 -71.23333333 4.12 False lauber_88_soils True XXQIITAXX 65 -1600.0 oxisol Manu National Park, Peru 410658 clay Pyrosequencing-Based Assessment of Soil pH as a Predictor of Soil Bacterial Community Structure at the Continental Scale 33.4 0.0 soil metagenome 16.9744 69.934528 288.1302553600001 4_ +103.PE7 AGAGCAAGAGCA CATGCTGCCTCCCGTAGGAGT PE7_V2 True lauber_88_soils CCME bacterial biogeography Pyrosequencing_based_assessment_of_soil_pH_as_a_predictor_of_soil_bacterial_community_structure_at_the_continental_scale Engencore TCAG 19502440 CA FWD:GCCTTGCCAGCCCGCTCAGTCAGAGTTTGATCCTGGCTCAG;REV:CATGCTGCCTCCCGTAGGAGT False FLX PE7_V2 1 V2 0 PE7_V2 CCME 5/28/08 FA6P1OK 0.5, g CCME XXQIITAXX pyrosequencing CCME lauber_88_soils 16S rRNA V2 0 4000 25.0 PE7 False 11.21 16.7 2008 soil metagenome GAZ:Peru 0-0.05 True 440 ENVO:Tropical humid forests ENVO:tropical soil ENVO:soil PE7 -12.65 -71.23333333 5.51 False lauber_88_soils True XXQIITAXX 88 -1600.0 oxisol Manu National Park, Peru 410658 silty clay Pyrosequencing-Based Assessment of Soil pH as a Predictor of Soil Bacterial Community Structure at the Continental Scale 63.8 0.0 soil metagenome 30.3601 167.28415099999995 921.7356720099997 5_ +103.BP1 ACACACTATGGC CATGCTGCCTCCCGTAGGAGT BP1_V2 True lauber_88_soils CCME bacterial biogeography Pyrosequencing_based_assessment_of_soil_pH_as_a_predictor_of_soil_bacterial_community_structure_at_the_continental_scale Engencore TCAG 19502440 CA FWD:GCCTTGCCAGCCCGCTCAGTCAGAGTTTGATCCTGGCTCAG;REV:CATGCTGCCTCCCGTAGGAGT False FLX BP1_V2 1 V2 0 BP1_V2 CCME 5/28/08 FA6P1OK 0.5, g CCME XXQIITAXX pyrosequencing CCME lauber_88_soils 16S rRNA V2 0 450 6.6 BP1 False 14.5 7.7360000000000015 2008 soil metagenome GAZ:United States of America 0-0.05 True 1100 ENVO:grassland ENVO:grassland soil ENVO:soil BP1 43.75 -102.3833333 7.53 False lauber_88_soils True XXQIITAXX 65 79.2 entisol Badlands National Park, SD USA 410658 silt loam Pyrosequencing-Based Assessment of Soil pH as a Predictor of Soil Bacterial Community Structure at the Continental Scale 31.0 0.0 soil metagenome 56.7009 426.957777 3214.992060810001 7_ +103.DF1 ACCAGACGATGC CATGCTGCCTCCCGTAGGAGT DF1_V2 True lauber_88_soils CCME bacterial biogeography Pyrosequencing_based_assessment_of_soil_pH_as_a_predictor_of_soil_bacterial_community_structure_at_the_continental_scale Engencore TCAG 19502440 CA FWD:GCCTTGCCAGCCCGCTCAGTCAGAGTTTGATCCTGGCTCAG;REV:CATGCTGCCTCCCGTAGGAGT False FLX DF1_V2 1 V2 0 DF1_V2 CCME 5/28/08 FA6P1OK 0.5, g CCME XXQIITAXX pyrosequencing CCME lauber_88_soils 16S rRNA V2 0 1100 14.6 DF1 False 37.7 13.200999999999999 2008 soil metagenome GAZ:United States of America 0-0.05 True 163 ENVO:Temperate broadleaf and mixed forest biome ENVO:forest soil ENVO:soil DF1 35.96666667 -79.08333333 5.37 False lauber_88_soils True XXQIITAXX 43 -328.0 alfisol Duke Forest, NC USA 410658 sandy loam Pyrosequencing-Based Assessment of Soil pH as a Predictor of Soil Bacterial Community Structure at the Continental Scale 27.8 0.0 soil metagenome 28.8369 154.854153 831.5668016100003 5_ +103.DF3 ACCGCAGAGTCA CATGCTGCCTCCCGTAGGAGT DF3_V2 True lauber_88_soils CCME bacterial biogeography Pyrosequencing_based_assessment_of_soil_pH_as_a_predictor_of_soil_bacterial_community_structure_at_the_continental_scale Engencore TCAG 19502440 CA FWD:GCCTTGCCAGCCCGCTCAGTCAGAGTTTGATCCTGGCTCAG;REV:CATGCTGCCTCCCGTAGGAGT False FLX DF3_V2 1 V2 0 DF3_V2 CCME 5/28/08 FA6P1OK 0.5, g CCME XXQIITAXX pyrosequencing CCME lauber_88_soils 16S rRNA V2 0 1100 14.6 DF3 False 25.8 4.149 2008 soil metagenome GAZ:United States of America 0-0.05 True 150 ENVO:Temperate broadleaf and mixed forest biome ENVO:forest soil ENVO:soil DF3 35.96666667 -79.08333333 5.05 False lauber_88_soils True XXQIITAXX 20 -328.0 alfisol Duke Forest, NC USA 410658 loamy sand Pyrosequencing-Based Assessment of Soil pH as a Predictor of Soil Bacterial Community Structure at the Continental Scale 17.0 0.0 soil metagenome 25.5025 128.787625 650.3775062499999 5_ +103.DF2 ACCAGCGACTAG CATGCTGCCTCCCGTAGGAGT DF2_V2 True lauber_88_soils CCME bacterial biogeography Pyrosequencing_based_assessment_of_soil_pH_as_a_predictor_of_soil_bacterial_community_structure_at_the_continental_scale Engencore TCAG 19502440 CA FWD:GCCTTGCCAGCCCGCTCAGTCAGAGTTTGATCCTGGCTCAG;REV:CATGCTGCCTCCCGTAGGAGT False FLX DF2_V2 1 V2 0 DF2_V2 CCME 5/28/08 FA6P1OK 0.5, g CCME XXQIITAXX pyrosequencing CCME lauber_88_soils 16S rRNA V2 0 1100 14.6 DF2 False 18.3 20.410999999999998 2008 soil metagenome GAZ:United States of America 0-0.05 True 163 ENVO:Temperate broadleaf and mixed forest biome ENVO:forest soil ENVO:soil DF2 35.96666667 -79.08333333 6.84 False lauber_88_soils True XXQIITAXX 53 -328.0 alfisol Duke Forest, NC USA 410658 loam Pyrosequencing-Based Assessment of Soil pH as a Predictor of Soil Bacterial Community Structure at the Continental Scale 54.5 0.0 soil metagenome 46.7856 320.0135039999999 2188.89236736 6_ +103.SR2 AGCTATCCACGA CATGCTGCCTCCCGTAGGAGT SR2_V2 True lauber_88_soils CCME bacterial biogeography Pyrosequencing_based_assessment_of_soil_pH_as_a_predictor_of_soil_bacterial_community_structure_at_the_continental_scale Engencore TCAG 19502440 CA FWD:GCCTTGCCAGCCCGCTCAGTCAGAGTTTGATCCTGGCTCAG;REV:CATGCTGCCTCCCGTAGGAGT False FLX SR2_V2 1 V2 0 SR2_V2 CCME 5/28/08 FA6P1OK 0.5, g CCME XXQIITAXX pyrosequencing CCME lauber_88_soils 16S rRNA V2 0 500 17.2 SR2 False 11.1 2.461 2008 soil metagenome GAZ:United States of America 0-0.05 True 300 ENVO:shrubland ENVO:shrubland ENVO:soil SR2 34.68333333 -120.03333329999998 8.0 False lauber_88_soils True XXQIITAXX 48 323.8 mollisol Sedgwick Reserve, CA USA 410658 sandy loam Pyrosequencing-Based Assessment of Soil pH as a Predictor of Soil Bacterial Community Structure at the Continental Scale 14.6 0.0 soil metagenome 64.0 512.0 4096.0 8_ +103.BF2 AATCGTGACTCG CATGCTGCCTCCCGTAGGAGT BF2_V2 True lauber_88_soils CCME bacterial biogeography Pyrosequencing_based_assessment_of_soil_pH_as_a_predictor_of_soil_bacterial_community_structure_at_the_continental_scale Engencore TCAG 19502440 CA FWD:GCCTTGCCAGCCCGCTCAGTCAGAGTTTGATCCTGGCTCAG;REV:CATGCTGCCTCCCGTAGGAGT False FLX BF2_V2 1 V2 0 BF2_V2 CCME 5/28/08 FA6P1OK 0.5, g CCME XXQIITAXX pyrosequencing CCME lauber_88_soils 16S rRNA V2 0 1000 7.8 BF2 False 15.2 8.718 2008 soil metagenome GAZ:United States of America 0-0.05 True 390 ENVO:Temperate broadleaf and mixed forest biome ENVO:forest soil ENVO:soil BF2 41.58333333 -80.05 3.61 False lauber_88_soils True XXQIITAXX 56 -451.3 alfisol Bousson Forest, PA, USA 410658 loam Pyrosequencing-Based Assessment of Soil pH as a Predictor of Soil Bacterial Community Structure at the Continental Scale 95.2 0.0 soil metagenome 13.0321 47.045881 169.83563040999996 3_ +103.BF1 AATCAGTCTCGT CATGCTGCCTCCCGTAGGAGT BF1_V2 True lauber_88_soils CCME bacterial biogeography Pyrosequencing_based_assessment_of_soil_pH_as_a_predictor_of_soil_bacterial_community_structure_at_the_continental_scale Engencore TCAG 19502440 CA FWD:GCCTTGCCAGCCCGCTCAGTCAGAGTTTGATCCTGGCTCAG;REV:CATGCTGCCTCCCGTAGGAGT False FLX BF1_V2 1 V2 0 BF1_V2 CCME 5/28/08 FA6P1OK 0.5, g CCME XXQIITAXX pyrosequencing CCME lauber_88_soils 16S rRNA V2 0 1000 7.8 BF1 False 13.7 7.019 2008 soil metagenome GAZ:United States of America 0-0.05 True 390 ENVO:Temperate broadleaf and mixed forest biome ENVO:forest soil ENVO:soil BF1 41.58333333 -80.05 4.05 False lauber_88_soils True XXQIITAXX 60 -451.3 alfisol Bousson Forest, PA, USA 410658 loam Pyrosequencing-Based Assessment of Soil pH as a Predictor of Soil Bacterial Community Structure at the Continental Scale 64.4 0.0 soil metagenome 16.4025 66.43012499999999 269.04200625 4_ +103.SR1 AGCGTAGGTCGT CATGCTGCCTCCCGTAGGAGT SR1_V2 True lauber_88_soils CCME bacterial biogeography Pyrosequencing_based_assessment_of_soil_pH_as_a_predictor_of_soil_bacterial_community_structure_at_the_continental_scale Engencore TCAG 19502440 CA FWD:GCCTTGCCAGCCCGCTCAGTCAGAGTTTGATCCTGGCTCAG;REV:CATGCTGCCTCCCGTAGGAGT False FLX SR1_V2 1 V2 0 SR1_V2 CCME 5/28/08 FA6P1OK 0.5, g CCME XXQIITAXX pyrosequencing CCME lauber_88_soils 16S rRNA V2 0 500 17.2 SR1 False 11.1 6.119 2008 soil metagenome GAZ:United States of America 0-0.05 True 300 ENVO:shrubland ENVO:shrubland ENVO:soil SR1 34.7 -120.05 6.84 False lauber_88_soils True XXQIITAXX 55 323.8 mollisol Sedgwick Reserve, CA USA 410658 loam Pyrosequencing-Based Assessment of Soil pH as a Predictor of Soil Bacterial Community Structure at the Continental Scale 45.9 0.0 soil metagenome 46.7856 320.0135039999999 2188.89236736 6_ +103.MD3 ACTCGCACAGGA CATGCTGCCTCCCGTAGGAGT MD3_V2 True lauber_88_soils CCME bacterial biogeography Pyrosequencing_based_assessment_of_soil_pH_as_a_predictor_of_soil_bacterial_community_structure_at_the_continental_scale Engencore TCAG 19502440 CA FWD:GCCTTGCCAGCCCGCTCAGTCAGAGTTTGATCCTGGCTCAG;REV:CATGCTGCCTCCCGTAGGAGT False FLX MD3_V2 1 V2 0 MD3_V2 CCME 5/28/08 FA6P1OK 0.5, g CCME XXQIITAXX pyrosequencing CCME lauber_88_soils 16S rRNA V2 0 150 21.0 MD3 False 6.8 0.927 2008 soil metagenome GAZ:United States of America 0-0.05 True 776 ENVO:shrubland ENVO:shrubland ENVO:soil MD3 34.9 -115.65 7.9 False lauber_88_soils True XXQIITAXX 19 1053.8 aridisol Mojave Desert, CA USA 410658 loamy sand Pyrosequencing-Based Assessment of Soil pH as a Predictor of Soil Bacterial Community Structure at the Continental Scale 1.2 0.0 soil metagenome 62.41 493.039 3895.0081000000014 7_ +103.SR3 AGCTCCATACAG CATGCTGCCTCCCGTAGGAGT SR3_V2 True lauber_88_soils CCME bacterial biogeography Pyrosequencing_based_assessment_of_soil_pH_as_a_predictor_of_soil_bacterial_community_structure_at_the_continental_scale Engencore TCAG 19502440 CA FWD:GCCTTGCCAGCCCGCTCAGTCAGAGTTTGATCCTGGCTCAG;REV:CATGCTGCCTCCCGTAGGAGT False FLX SR3_V2 1 V2 0 SR3_V2 CCME 5/28/08 FA6P1OK 0.5, g CCME XXQIITAXX pyrosequencing CCME lauber_88_soils 16S rRNA V2 0 500 17.2 SR3 False 11.0 7.154 2008 soil metagenome GAZ:United States of America 0-0.05 True 300 ENVO:shrubland ENVO:shrubland ENVO:soil SR3 34.68333333 -120.05 6.95 False lauber_88_soils True XXQIITAXX 61 323.8 mollisol Sedgwick Reserve, CA USA 410658 loam Pyrosequencing-Based Assessment of Soil pH as a Predictor of Soil Bacterial Community Structure at the Continental Scale 33.0 0.0 soil metagenome 48.3025 335.702375 2333.1315062500007 6_ +103.HF1 ACGATGCGACCA CATGCTGCCTCCCGTAGGAGT HF1_V2 True lauber_88_soils CCME bacterial biogeography Pyrosequencing_based_assessment_of_soil_pH_as_a_predictor_of_soil_bacterial_community_structure_at_the_continental_scale Engencore TCAG 19502440 CA FWD:GCCTTGCCAGCCCGCTCAGTCAGAGTTTGATCCTGGCTCAG;REV:CATGCTGCCTCCCGTAGGAGT False FLX HF1_V2 1 V2 0 HF1_V2 CCME 5/28/08 FA6P1OK 0.5, g CCME XXQIITAXX pyrosequencing CCME lauber_88_soils 16S rRNA V2 0 1100 7.0 HF1 False 22.5 14.412 2008 soil metagenome GAZ:United States of America 0-0.05 True 300 ENVO:Temperate broadleaf and mixed forest biome ENVO:forest soil ENVO:soil HF1 42.5 -72.16666667 4.25 False lauber_88_soils True XXQIITAXX 33 -483.9 inceptisol Harvard Forest, MA USA 410658 sandy loam Pyrosequencing-Based Assessment of Soil pH as a Predictor of Soil Bacterial Community Structure at the Continental Scale 127.6 0.0 soil metagenome 18.0625 76.765625 326.25390625 4_ +103.CA2 ACACGGTGTCTA CATGCTGCCTCCCGTAGGAGT CA2_V2 True lauber_88_soils CCME bacterial biogeography Pyrosequencing_based_assessment_of_soil_pH_as_a_predictor_of_soil_bacterial_community_structure_at_the_continental_scale Engencore TCAG 19502440 CA FWD:GCCTTGCCAGCCCGCTCAGTCAGAGTTTGATCCTGGCTCAG;REV:CATGCTGCCTCCCGTAGGAGT False FLX CA2_V2 1 V2 0 CA2_V2 CCME 5/28/08 FA6P1OK 0.5, g CCME XXQIITAXX pyrosequencing CCME lauber_88_soils 16S rRNA V2 0 400 10.3 CA2 False 13.6 1.63 2008 soil metagenome GAZ:United States of America 0-0.05 True 2003 ENVO:shrubland ENVO:shrubland ENVO:soil CA2 36.05 -111.76666670000002 8.02 False lauber_88_soils True XXQIITAXX 74 198.1 alfisol Cedar Mtn. AZ, USA 410658 silt loam Pyrosequencing-Based Assessment of Soil pH as a Predictor of Soil Bacterial Community Structure at the Continental Scale 21.5 0.0 soil metagenome 64.32039999999999 515.8496079999999 4137.113856159999 8_ +103.CA1 ACACGAGCCACA CATGCTGCCTCCCGTAGGAGT CA1_V2 True lauber_88_soils CCME bacterial biogeography Pyrosequencing_based_assessment_of_soil_pH_as_a_predictor_of_soil_bacterial_community_structure_at_the_continental_scale Engencore TCAG 19502440 CA FWD:GCCTTGCCAGCCCGCTCAGTCAGAGTTTGATCCTGGCTCAG;REV:CATGCTGCCTCCCGTAGGAGT False FLX CA1_V2 1 V2 0 CA1_V2 CCME 5/28/08 FA6P1OK 0.5, g CCME XXQIITAXX pyrosequencing CCME lauber_88_soils 16S rRNA V2 0 400 10.3 CA1 False 13.0 2.276 2008 soil metagenome GAZ:United States of America 0-0.05 True 2003 ENVO:forest ENVO:forest soil ENVO:soil CA1 36.05 -111.76666670000002 7.27 False lauber_88_soils True XXQIITAXX 73 198.1 alfisol Cedar Mtn. AZ, USA 410658 silt loam Pyrosequencing-Based Assessment of Soil pH as a Predictor of Soil Bacterial Community Structure at the Continental Scale 16.7 0.0 soil metagenome 52.85289999999999 384.240583 2793.4290384099995 7_ +103.HF2 ACGCAACTGCTA CATGCTGCCTCCCGTAGGAGT HF2_V2 True lauber_88_soils CCME bacterial biogeography Pyrosequencing_based_assessment_of_soil_pH_as_a_predictor_of_soil_bacterial_community_structure_at_the_continental_scale Engencore TCAG 19502440 CA FWD:GCCTTGCCAGCCCGCTCAGTCAGAGTTTGATCCTGGCTCAG;REV:CATGCTGCCTCCCGTAGGAGT False FLX HF2_V2 1 V2 0 HF2_V2 CCME 5/28/08 FA6P1OK 0.5, g CCME XXQIITAXX pyrosequencing CCME lauber_88_soils 16S rRNA V2 0 1100 7.0 HF2 False 20.9 10.001 2008 soil metagenome GAZ:United States of America 0-0.05 True 300 ENVO:Temperate broadleaf and mixed forest biome ENVO:forest soil ENVO:soil HF2 42.5 -72.16666667 3.98 False lauber_88_soils True XXQIITAXX 38 -483.9 inceptisol Harvard Forest, MA USA 410658 sandy loam Pyrosequencing-Based Assessment of Soil pH as a Predictor of Soil Bacterial Community Structure at the Continental Scale 95.5 0.0 soil metagenome 15.8404 63.044792 250.91827216 3_ +103.SB1 AGATCTCTGCAT CATGCTGCCTCCCGTAGGAGT SB1_V2 True lauber_88_soils CCME bacterial biogeography Pyrosequencing_based_assessment_of_soil_pH_as_a_predictor_of_soil_bacterial_community_structure_at_the_continental_scale Engencore TCAG 19502440 CA FWD:GCCTTGCCAGCCCGCTCAGTCAGAGTTTGATCCTGGCTCAG;REV:CATGCTGCCTCCCGTAGGAGT False FLX SB1_V2 1 V2 0 SB1_V2 CCME 5/28/08 FA6P1OK 0.5, g CCME XXQIITAXX pyrosequencing CCME lauber_88_soils 16S rRNA V2 0 550 15.0 SB1 False 16.9 7.166 2008 soil metagenome GAZ:United States of America 0-0.05 True 500 ENVO:shrubland ENVO:shrubland ENVO:soil SB1 34.46666667 -119.8 7.92 False lauber_88_soils True XXQIITAXX 54 152.8 inceptisol Santa Barbara, CA USA 410658 loam Pyrosequencing-Based Assessment of Soil pH as a Predictor of Soil Bacterial Community Structure at the Continental Scale 26.5 0.0 soil metagenome 62.7264 496.793088 3934.60125696 7_ +103.CF2 ACAGACCACTCA CATGCTGCCTCCCGTAGGAGT CF2_V2 True lauber_88_soils CCME bacterial biogeography Pyrosequencing_based_assessment_of_soil_pH_as_a_predictor_of_soil_bacterial_community_structure_at_the_continental_scale Engencore TCAG 19502440 CA FWD:GCCTTGCCAGCCCGCTCAGTCAGAGTTTGATCCTGGCTCAG;REV:CATGCTGCCTCCCGTAGGAGT False FLX CF2_V2 1 V2 0 CF2_V2 CCME 5/28/08 FA6P1OK 0.5, g CCME XXQIITAXX pyrosequencing CCME lauber_88_soils 16S rRNA V2 0 1300 5.3 CF2 False 19.1 3.0 2008 soil metagenome GAZ:United States of America 0-0.05 True 800 ENVO:Temperate broadleaf and mixed forest biome ENVO:forest soil ENVO:soil CF2 41.93333333 -74.35 3.63 False lauber_88_soils True XXQIITAXX 28 -858.7 inceptisol Catskills, NY USA 410658 sandy loam Pyrosequencing-Based Assessment of Soil pH as a Predictor of Soil Bacterial Community Structure at the Continental Scale 40.6 0.0 soil metagenome 13.1769 47.832147 173.63069360999995 3_ +103.CF3 ACAGAGTCGGCT CATGCTGCCTCCCGTAGGAGT CF3_V2 True lauber_88_soils CCME bacterial biogeography Pyrosequencing_based_assessment_of_soil_pH_as_a_predictor_of_soil_bacterial_community_structure_at_the_continental_scale Engencore TCAG 19502440 CA FWD:GCCTTGCCAGCCCGCTCAGTCAGAGTTTGATCCTGGCTCAG;REV:CATGCTGCCTCCCGTAGGAGT False FLX CF3_V2 1 V2 0 CF3_V2 CCME 5/28/08 FA6P1OK 0.5, g CCME XXQIITAXX pyrosequencing CCME lauber_88_soils 16S rRNA V2 0 1300 5.3 CF3 False 17.0 2.912 2008 soil metagenome GAZ:United States of America 0-0.05 True 800 ENVO:Temperate broadleaf and mixed forest biome ENVO:forest soil ENVO:soil CF3 42.11666667 -74.1 3.56 False lauber_88_soils True XXQIITAXX 77 -858.7 inceptisol Catskills, NY USA 410658 silt loam Pyrosequencing-Based Assessment of Soil pH as a Predictor of Soil Bacterial Community Structure at the Continental Scale 43.3 0.0 soil metagenome 12.6736 45.118016 160.62013696 3_ +103.CF1 ACACTGTTCATG CATGCTGCCTCCCGTAGGAGT CF1_V2 True lauber_88_soils CCME bacterial biogeography Pyrosequencing_based_assessment_of_soil_pH_as_a_predictor_of_soil_bacterial_community_structure_at_the_continental_scale Engencore TCAG 19502440 CA FWD:GCCTTGCCAGCCCGCTCAGTCAGAGTTTGATCCTGGCTCAG;REV:CATGCTGCCTCCCGTAGGAGT False FLX CF1_V2 1 V2 0 CF1_V2 CCME 5/28/08 FA6P1OK 0.5, g CCME XXQIITAXX pyrosequencing CCME lauber_88_soils 16S rRNA V2 0 1300 5.3 CF1 False 13.6 2.266 2008 soil metagenome GAZ:United States of America 0-0.05 True 800 ENVO:Temperate broadleaf and mixed forest biome ENVO:forest soil ENVO:soil CF1 42.15833333 -74.25833333 3.92 False lauber_88_soils True XXQIITAXX 49 -858.7 inceptisol Catskills, NY USA 410658 loam Pyrosequencing-Based Assessment of Soil pH as a Predictor of Soil Bacterial Community Structure at the Continental Scale 25.6 0.0 soil metagenome 15.3664 60.236288 236.12624896 3_ +103.JT1 ACGTTAGCACAC CATGCTGCCTCCCGTAGGAGT JT1_V2 True lauber_88_soils CCME bacterial biogeography Pyrosequencing_based_assessment_of_soil_pH_as_a_predictor_of_soil_bacterial_community_structure_at_the_continental_scale Engencore TCAG 19502440 CA FWD:GCCTTGCCAGCCCGCTCAGTCAGAGTTTGATCCTGGCTCAG;REV:CATGCTGCCTCCCGTAGGAGT False FLX JT1_V2 1 V2 0 JT1_V2 CCME 5/28/08 FA6P1OK 0.5, g CCME XXQIITAXX pyrosequencing CCME lauber_88_soils 16S rRNA V2 0 90 16.0 JT1 False 11.668 11.7 2008 soil metagenome GAZ:United States of America 0-0.05 True 1360 ENVO:shrubland ENVO:shrubland ENVO:soil JT1 33.96666667 -116.06666670000001 7.6 False lauber_88_soils True XXQIITAXX 18 1032.0 aridisol Joshua Tree National Park, CA USA 410658 loamy sand Pyrosequencing-Based Assessment of Soil pH as a Predictor of Soil Bacterial Community Structure at the Continental Scale 6.9 0.0 soil metagenome 57.76 438.976 3336.2175999999995 7_ +103.IE1 ACGTACTCAGTG CATGCTGCCTCCCGTAGGAGT IE1_V2 True lauber_88_soils CCME bacterial biogeography Pyrosequencing_based_assessment_of_soil_pH_as_a_predictor_of_soil_bacterial_community_structure_at_the_continental_scale Engencore TCAG 19502440 CA FWD:GCCTTGCCAGCCCGCTCAGTCAGAGTTTGATCCTGGCTCAG;REV:CATGCTGCCTCCCGTAGGAGT False FLX IE1_V2 1 V2 0 IE1_V2 CCME 5/28/08 FA6P1OK 0.5, g CCME XXQIITAXX pyrosequencing CCME lauber_88_soils 16S rRNA V2 0 1200 8.6 IE1 False 11.8 7.5360000000000005 2008 soil metagenome GAZ:United States of America 0-0.05 True 75 ENVO:Temperate grasslands ENVO:grassland soil ENVO:soil IE1 41.8 -73.75 5.27 False lauber_88_soils True XXQIITAXX 49 -609.9 inceptisol Institute for Ecosystem Studies, NY USA 410658 sandy loam Pyrosequencing-Based Assessment of Soil pH as a Predictor of Soil Bacterial Community Structure at the Continental Scale 27.0 0.0 soil metagenome 27.7729 146.36318299999996 771.3339744099997 5_ +103.IE2 ACGTCTGTAGCA CATGCTGCCTCCCGTAGGAGT IE2_V2 True lauber_88_soils CCME bacterial biogeography Pyrosequencing_based_assessment_of_soil_pH_as_a_predictor_of_soil_bacterial_community_structure_at_the_continental_scale Engencore TCAG 19502440 CA FWD:GCCTTGCCAGCCCGCTCAGTCAGAGTTTGATCCTGGCTCAG;REV:CATGCTGCCTCCCGTAGGAGT False FLX IE2_V2 1 V2 0 IE2_V2 CCME 5/28/08 FA6P1OK 0.5, g CCME XXQIITAXX pyrosequencing CCME lauber_88_soils 16S rRNA V2 0 1200 8.6 IE2 False 13.2 11.422 2008 soil metagenome GAZ:United States of America 0-0.05 True 75 ENVO:Temperate grasslands ENVO:grassland soil ENVO:soil IE2 41.8 -73.75 5.52 False lauber_88_soils True XXQIITAXX 49 -609.9 inceptisol Institute for Ecosystem Studies, NY USA 410658 sandy loam Pyrosequencing-Based Assessment of Soil pH as a Predictor of Soil Bacterial Community Structure at the Continental Scale 40.7 0.0 soil metagenome 30.470399999999994 168.19660799999997 928.4452761599997 5_ +103.RT1 AGAGTAGCTAAG CATGCTGCCTCCCGTAGGAGT RT1_V2 True lauber_88_soils CCME bacterial biogeography Pyrosequencing_based_assessment_of_soil_pH_as_a_predictor_of_soil_bacterial_community_structure_at_the_continental_scale Engencore TCAG 19502440 CA FWD:GCCTTGCCAGCCCGCTCAGTCAGAGTTTGATCCTGGCTCAG;REV:CATGCTGCCTCCCGTAGGAGT False FLX RT1_V2 1 V2 0 RT1_V2 CCME 5/28/08 FA6P1OK 0.5, g CCME XXQIITAXX pyrosequencing CCME lauber_88_soils 16S rRNA V2 0 840 18.1 RT1 False 12.3 1.8519999999999999 2008 soil metagenome GAZ:United States of America 0-0.05 True 50 ENVO:shrubland ENVO:shrubland ENVO:soil RT1 31.46666667 -96.86666667 7.92 False lauber_88_soils True XXQIITAXX 82 134.5 mollisol USDA Grassland Research Center, Riesel, TX USA 410658 silty clay loam Pyrosequencing-Based Assessment of Soil pH as a Predictor of Soil Bacterial Community Structure at the Continental Scale 39.4 18.0 soil metagenome 62.7264 496.793088 3934.60125696 7_ +103.RT2 AGAGTCCTGAGC CATGCTGCCTCCCGTAGGAGT RT2_V2 True lauber_88_soils CCME bacterial biogeography Pyrosequencing_based_assessment_of_soil_pH_as_a_predictor_of_soil_bacterial_community_structure_at_the_continental_scale Engencore TCAG 19502440 CA FWD:GCCTTGCCAGCCCGCTCAGTCAGAGTTTGATCCTGGCTCAG;REV:CATGCTGCCTCCCGTAGGAGT False FLX RT2_V2 1 V2 0 RT2_V2 CCME 5/28/08 FA6P1OK 0.5, g CCME XXQIITAXX pyrosequencing CCME lauber_88_soils 16S rRNA V2 0 840 18.1 RT2 False 12.0 1.646 2008 soil metagenome GAZ:United States of America 0-0.05 True 50 ENVO:Temperate grasslands ENVO:grassland soil ENVO:soil RT2 31.46666667 -96.86666667 8.07 False lauber_88_soils True XXQIITAXX 80 134.5 mollisol USDA Grassland Research Center, Riesel, TX USA 410658 silty clay loam Pyrosequencing-Based Assessment of Soil pH as a Predictor of Soil Bacterial Community Structure at the Continental Scale 37.5 15.8 soil metagenome 65.12490000000001 525.557943 4241.2526000100015 8_ +103.CC1 ACACTAGATCCG CATGCTGCCTCCCGTAGGAGT CC1_V2 True lauber_88_soils CCME bacterial biogeography Pyrosequencing_based_assessment_of_soil_pH_as_a_predictor_of_soil_bacterial_community_structure_at_the_continental_scale Engencore TCAG 19502440 CA FWD:GCCTTGCCAGCCCGCTCAGTCAGAGTTTGATCCTGGCTCAG;REV:CATGCTGCCTCCCGTAGGAGT False FLX CC1_V2 1 V2 0 CC1_V2 CCME 5/28/08 FA6P1OK 0.5, g CCME XXQIITAXX pyrosequencing CCME lauber_88_soils 16S rRNA V2 0 720 5.8 CC1 False 14.5 4.204 2008 soil metagenome GAZ:United States of America 0-0.05 True 110 ENVO:Temperate grasslands ENVO:grassland soil ENVO:soil CC1 45.4 -93.2 6.06 False lauber_88_soils True XXQIITAXX 11 -143.3 inceptisol Cedar Creek LTER, MN USA 410658 sand Pyrosequencing-Based Assessment of Soil pH as a Predictor of Soil Bacterial Community Structure at the Continental Scale 19.1 0.0 soil metagenome 36.7236 222.545016 1348.6227969599995 6_ +103.LQ1 ACTATTGTCACG CATGCTGCCTCCCGTAGGAGT LQ1_V2 True lauber_88_soils CCME bacterial biogeography Pyrosequencing_based_assessment_of_soil_pH_as_a_predictor_of_soil_bacterial_community_structure_at_the_continental_scale Engencore TCAG 19502440 CA FWD:GCCTTGCCAGCCCGCTCAGTCAGAGTTTGATCCTGGCTCAG;REV:CATGCTGCCTCCCGTAGGAGT False FLX LQ1_V2 1 V2 0 LQ1_V2 CCME 5/28/08 FA6P1OK 0.5, g CCME XXQIITAXX pyrosequencing CCME lauber_88_soils 16S rRNA V2 0 5000 19.3 LQ1 False 24.6 5.95 2008 soil metagenome GAZ:Puerto Rico 0-0.05 True 1000 ENVO:Tropical humid forests ENVO:tropical soil ENVO:soil LQ1 18.3 -65.83333333 4.89 False lauber_88_soils True XXQIITAXX 64 -4111.8 inceptisol Luquillo LTER, Puerto Rico 410658 silt loam Pyrosequencing-Based Assessment of Soil pH as a Predictor of Soil Bacterial Community Structure at the Continental Scale 139.5 0.0 soil metagenome 23.912099999999995 116.93016899999998 571.7885264099998 4_ +103.LQ2 ACTCACGGTATG CATGCTGCCTCCCGTAGGAGT LQ2_V2 True lauber_88_soils CCME bacterial biogeography Pyrosequencing_based_assessment_of_soil_pH_as_a_predictor_of_soil_bacterial_community_structure_at_the_continental_scale Engencore TCAG 19502440 CA FWD:GCCTTGCCAGCCCGCTCAGTCAGAGTTTGATCCTGGCTCAG;REV:CATGCTGCCTCCCGTAGGAGT False FLX LQ2_V2 1 V2 0 LQ2_V2 CCME 5/28/08 FA6P1OK 0.5, g CCME XXQIITAXX pyrosequencing CCME lauber_88_soils 16S rRNA V2 0 3500 21.5 LQ2 False 13.0 7.816 2008 soil metagenome GAZ:Puerto Rico 0-0.05 True 400 ENVO:Tropical humid forests ENVO:tropical soil ENVO:soil LQ2 18.3 -65.83333333 5.03 False lauber_88_soils True XXQIITAXX 84 -2454.2 inceptisol Luquillo LTER, Puerto Rico 410658 silty clay loam Pyrosequencing-Based Assessment of Soil pH as a Predictor of Soil Bacterial Community Structure at the Continental Scale 41.1 0.0 soil metagenome 25.3009 127.26352700000002 640.1355408100002 5_ +103.LQ3 ACTCAGATACTC CATGCTGCCTCCCGTAGGAGT LQ3_V2 True lauber_88_soils CCME bacterial biogeography Pyrosequencing_based_assessment_of_soil_pH_as_a_predictor_of_soil_bacterial_community_structure_at_the_continental_scale Engencore TCAG 19502440 CA FWD:GCCTTGCCAGCCCGCTCAGTCAGAGTTTGATCCTGGCTCAG;REV:CATGCTGCCTCCCGTAGGAGT False FLX LQ3_V2 1 V2 0 LQ3_V2 CCME 5/28/08 FA6P1OK 0.5, g CCME XXQIITAXX pyrosequencing CCME lauber_88_soils 16S rRNA V2 0 4500 20.5 LQ3 False 22.6 3.6860000000000004 2008 soil metagenome GAZ:Puerto Rico 0-0.05 True 700 ENVO:Tropical humid forests ENVO:tropical soil ENVO:soil LQ3 18.3 -65.83333333 4.67 False lauber_88_soils True XXQIITAXX 35 -3528.2 inceptisol Luquillo LTER, Puerto Rico 410658 sandy loam Pyrosequencing-Based Assessment of Soil pH as a Predictor of Soil Bacterial Community Structure at the Continental Scale 64.1 0.0 soil metagenome 21.8089 101.847563 475.62811921 4_ +103.KP1 ACTACAGCCTAT CATGCTGCCTCCCGTAGGAGT KP1_V2 True lauber_88_soils CCME bacterial biogeography Pyrosequencing_based_assessment_of_soil_pH_as_a_predictor_of_soil_bacterial_community_structure_at_the_continental_scale Engencore TCAG 19502440 CA FWD:GCCTTGCCAGCCCGCTCAGTCAGAGTTTGATCCTGGCTCAG;REV:CATGCTGCCTCCCGTAGGAGT False FLX KP1_V2 1 V2 0 KP1_V2 CCME 5/28/08 FA6P1OK 0.5, g CCME XXQIITAXX pyrosequencing CCME lauber_88_soils 16S rRNA V2 0 835 12.5 KP1 False 13.6 4.324 2008 soil metagenome GAZ:United States of America 0-0.05 True 100 ENVO:Temperate grasslands ENVO:grassland soil ENVO:soil KP1 39.1 -96.6 6.37 False lauber_88_soils True XXQIITAXX 78 -80.5 mollisol Konza Prairie LTER, KS USA 410658 silt loam Pyrosequencing-Based Assessment of Soil pH as a Predictor of Soil Bacterial Community Structure at the Continental Scale 61.2 0.0 soil metagenome 40.5769 258.474853 1646.4848136100006 6_ +103.MP2 ACTGTACGCGTA CATGCTGCCTCCCGTAGGAGT MP2_V2 True lauber_88_soils CCME bacterial biogeography Pyrosequencing_based_assessment_of_soil_pH_as_a_predictor_of_soil_bacterial_community_structure_at_the_continental_scale Engencore TCAG 19502440 CA FWD:GCCTTGCCAGCCCGCTCAGTCAGAGTTTGATCCTGGCTCAG;REV:CATGCTGCCTCCCGTAGGAGT False FLX MP2_V2 1 V2 0 MP2_V2 CCME 5/28/08 FA6P1OK 0.5, g CCME XXQIITAXX pyrosequencing CCME lauber_88_soils 16S rRNA V2 0 2200 8.8 MP2 False 18.3 7.1160000000000005 2008 soil metagenome GAZ:United States of America 0-0.05 True 1300 ENVO:Temperate broadleaf and mixed forest biome ENVO:forest soil ENVO:soil MP2 49.46666667 -123.53333329999998 4.38 False lauber_88_soils True XXQIITAXX 42 -1720.6 inceptisol Mary's Peak, OR USA 410658 sandy loam Pyrosequencing-Based Assessment of Soil pH as a Predictor of Soil Bacterial Community Structure at the Continental Scale 98.7 0.0 soil metagenome 19.1844 84.027672 368.04120336 4_ +103.MP1 ACTGATCCTAGT CATGCTGCCTCCCGTAGGAGT MP1_V2 True lauber_88_soils CCME bacterial biogeography Pyrosequencing_based_assessment_of_soil_pH_as_a_predictor_of_soil_bacterial_community_structure_at_the_continental_scale Engencore TCAG 19502440 CA FWD:GCCTTGCCAGCCCGCTCAGTCAGAGTTTGATCCTGGCTCAG;REV:CATGCTGCCTCCCGTAGGAGT False FLX MP1_V2 1 V2 0 MP1_V2 CCME 5/28/08 FA6P1OK 0.5, g CCME XXQIITAXX pyrosequencing CCME lauber_88_soils 16S rRNA V2 0 2200 8.8 MP1 False 14.7 5.636 2008 soil metagenome GAZ:United States of America 0-0.05 True 1300 ENVO:Temperate grasslands ENVO:grassland soil ENVO:soil MP1 49.46666667 -123.53333329999998 4.56 False lauber_88_soils True XXQIITAXX 41 -1720.6 inceptisol Mary's Peak, OR USA 410658 sandy loam Pyrosequencing-Based Assessment of Soil pH as a Predictor of Soil Bacterial Community Structure at the Continental Scale 107.0 0.0 soil metagenome 20.7936 94.81881599999996 432.37380095999987 4_ +103.IT2 ACGTGCCGTAGA CATGCTGCCTCCCGTAGGAGT IT2_V2 True lauber_88_soils CCME bacterial biogeography Pyrosequencing_based_assessment_of_soil_pH_as_a_predictor_of_soil_bacterial_community_structure_at_the_continental_scale Engencore TCAG 19502440 CA FWD:GCCTTGCCAGCCCGCTCAGTCAGAGTTTGATCCTGGCTCAG;REV:CATGCTGCCTCCCGTAGGAGT False FLX IT2_V2 1 V2 0 IT2_V2 CCME 5/28/08 FA6P1OK 0.5, g CCME XXQIITAXX pyrosequencing CCME lauber_88_soils 16S rRNA V2 0 750 3.0 IT2 False 23.0 16.003 2008 soil metagenome GAZ:United States of America 0-0.05 True 550 ENVO:Temperate broadleaf and mixed forest biome ENVO:forest soil ENVO:soil IT2 47.18333333 -95.16666667 5.42 False lauber_88_soils True XXQIITAXX 19 -262.1 spodosol Itasca Lake State Park, MN USA 410658 loamy sand Pyrosequencing-Based Assessment of Soil pH as a Predictor of Soil Bacterial Community Structure at the Continental Scale 39.1 0.0 soil metagenome 29.3764 159.22008799999998 862.97287696 5_ +103.IT1 ACGTGAGAGAAT CATGCTGCCTCCCGTAGGAGT IT1_V2 True lauber_88_soils CCME bacterial biogeography Pyrosequencing_based_assessment_of_soil_pH_as_a_predictor_of_soil_bacterial_community_structure_at_the_continental_scale Engencore TCAG 19502440 CA FWD:GCCTTGCCAGCCCGCTCAGTCAGAGTTTGATCCTGGCTCAG;REV:CATGCTGCCTCCCGTAGGAGT False FLX IT1_V2 1 V2 0 IT1_V2 CCME 5/28/08 FA6P1OK 0.5, g CCME XXQIITAXX pyrosequencing CCME lauber_88_soils 16S rRNA V2 0 750 3.0 IT1 False 22.5 16.079 2008 soil metagenome GAZ:United States of America 0-0.05 True 550 ENVO:Temperate broadleaf and mixed forest biome ENVO:forest soil ENVO:soil IT1 47.16666667 -95.16666667 5.78 False lauber_88_soils True XXQIITAXX 27 -262.1 spodosol Itasca Lake State Park, MN USA 410658 sandy loam Pyrosequencing-Based Assessment of Soil pH as a Predictor of Soil Bacterial Community Structure at the Continental Scale 63.1 0.0 soil metagenome 33.4084 193.100552 1116.1211905600003 5_ +103.SV2 AGCTGACTAGTC CATGCTGCCTCCCGTAGGAGT SV2_V2 True lauber_88_soils CCME bacterial biogeography Pyrosequencing_based_assessment_of_soil_pH_as_a_predictor_of_soil_bacterial_community_structure_at_the_continental_scale Engencore TCAG 19502440 CA FWD:GCCTTGCCAGCCCGCTCAGTCAGAGTTTGATCCTGGCTCAG;REV:CATGCTGCCTCCCGTAGGAGT False FLX SV2_V2 1 V2 0 SV2_V2 CCME 5/28/08 FA6P1OK 0.5, g CCME XXQIITAXX pyrosequencing CCME lauber_88_soils 16S rRNA V2 0 210 13.5 SV2 False 4.6 1.403 2008 soil metagenome GAZ:United States of America 0-0.05 True 1480 ENVO:grassland ENVO:grassland soil ENVO:soil SV2 34.33333333 -106.73333329999998 8.44 False lauber_88_soils True XXQIITAXX 20 443.6 aridisol Sevilleta LTER, NM USA 410658 loamy sand Pyrosequencing-Based Assessment of Soil pH as a Predictor of Soil Bacterial Community Structure at the Continental Scale 2.3 4.0 soil metagenome 71.2336 601.2115839999999 5074.225768959999 8_ +103.BB2 AAGCTGCAGTCG CATGCTGCCTCCCGTAGGAGT BB2_V2 True lauber_88_soils CCME bacterial biogeography Pyrosequencing_based_assessment_of_soil_pH_as_a_predictor_of_soil_bacterial_community_structure_at_the_continental_scale Engencore TCAG 19502440 CA FWD:GCCTTGCCAGCCCGCTCAGTCAGAGTTTGATCCTGGCTCAG;REV:CATGCTGCCTCCCGTAGGAGT False FLX BB2_V2 1 V2 0 BB2_V2 CCME 5/28/08 FA6P1OK 0.5, g CCME XXQIITAXX pyrosequencing CCME lauber_88_soils 16S rRNA V2 0 1200 6.1 BB2 False 21.4 2.2230000000000003 2008 soil metagenome GAZ:United States of America 0-0.05 True 400 ENVO:Temperate broadleaf and mixed forest biome ENVO:forest soil ENVO:soil BB2 44.86666667 -68.1 4.6 False lauber_88_soils True XXQIITAXX 44 -680.2 spodosol Bear Brook, ME, USA 410658 sandy loam Pyrosequencing-Based Assessment of Soil pH as a Predictor of Soil Bacterial Community Structure at the Continental Scale 52.2 0.0 soil metagenome 21.16 97.33599999999998 447.74559999999985 4_ +103.BB1 AAGAGATGTCGA CATGCTGCCTCCCGTAGGAGT BB1_V2 True lauber_88_soils CCME bacterial biogeography Pyrosequencing_based_assessment_of_soil_pH_as_a_predictor_of_soil_bacterial_community_structure_at_the_continental_scale Engencore TCAG 19502440 CA FWD:GCCTTGCCAGCCCGCTCAGTCAGAGTTTGATCCTGGCTCAG;REV:CATGCTGCCTCCCGTAGGAGT False FLX BB1_V2 1 V2 0 BB1_V2 CCME 5/28/08 FA6P1OK 0.5, g CCME XXQIITAXX pyrosequencing CCME lauber_88_soils 16S rRNA V2 0 1200 6.1 BB1 False 20.5 4.3 2008 soil metagenome GAZ:United States of America 0-0.05 True 400 ENVO:Tropical humid forests ENVO:forest soil ENVO:soil BB1 44.87 -68.1 4.3 False lauber_88_soils True XXQIITAXX 41 -680.2 spodosol Bear Brook, ME 410658 sandy loam Pyrosequencing-Based Assessment of Soil pH as a Predictor of Soil Bacterial Community Structure at the Continental Scale 12.84 0.0 soil metagenome 18.49 79.50699999999998 341.8801 4_ +103.SV1 AGCTCTCAGAGG CATGCTGCCTCCCGTAGGAGT SV1_V2 True lauber_88_soils CCME bacterial biogeography Pyrosequencing_based_assessment_of_soil_pH_as_a_predictor_of_soil_bacterial_community_structure_at_the_continental_scale Engencore TCAG 19502440 CA FWD:GCCTTGCCAGCCCGCTCAGTCAGAGTTTGATCCTGGCTCAG;REV:CATGCTGCCTCCCGTAGGAGT False FLX SV1_V2 1 V2 0 SV1_V2 CCME 5/28/08 FA6P1OK 0.5, g CCME XXQIITAXX pyrosequencing CCME lauber_88_soils 16S rRNA V2 0 210 13.5 SV1 False 5.0 2.036 2008 soil metagenome GAZ:United States of America 0-0.05 True 1480 ENVO:shrubland ENVO:shrubland ENVO:soil SV1 34.33333333 -106.73333329999998 8.31 False lauber_88_soils True XXQIITAXX 22 443.6 aridisol Sevilleta LTER, NM USA 410658 sandy loam Pyrosequencing-Based Assessment of Soil pH as a Predictor of Soil Bacterial Community Structure at the Continental Scale 3.0 5.3 soil metagenome 69.05610000000001 573.8561910000002 4768.744947210002 8_ +103.HI4 ACGCTCATGGAT CATGCTGCCTCCCGTAGGAGT HI4_V2 True lauber_88_soils CCME bacterial biogeography Pyrosequencing_based_assessment_of_soil_pH_as_a_predictor_of_soil_bacterial_community_structure_at_the_continental_scale Engencore TCAG 19502440 CA FWD:GCCTTGCCAGCCCGCTCAGTCAGAGTTTGATCCTGGCTCAG;REV:CATGCTGCCTCCCGTAGGAGT False FLX HI4_V2 1 V2 0 HI4_V2 CCME 5/28/08 FA6P1OK 0.5, g CCME XXQIITAXX pyrosequencing CCME lauber_88_soils 16S rRNA V2 0 1500 22.8 HI4 False 15.1 22.822 2008 soil metagenome GAZ:United States of America 0-0.05 True 1500 ENVO:Tropical and subtropical grasslands, savannas, and shrubland biome ENVO:grassland soil ENVO:soil HI4 20.08333333 -155.7 4.92 False lauber_88_soils True XXQIITAXX 52 -392.4 andisol Kohala Peninsula, HI USA 410658 loam Pyrosequencing-Based Assessment of Soil pH as a Predictor of Soil Bacterial Community Structure at the Continental Scale 108.2 0.0 soil metagenome 24.2064 119.09548799999999 585.94980096 4_ +103.HI1 ACGCGATACTGG CATGCTGCCTCCCGTAGGAGT HI1_V2 True lauber_88_soils CCME bacterial biogeography Pyrosequencing_based_assessment_of_soil_pH_as_a_predictor_of_soil_bacterial_community_structure_at_the_continental_scale Engencore TCAG 19502440 CA FWD:GCCTTGCCAGCCCGCTCAGTCAGAGTTTGATCCTGGCTCAG;REV:CATGCTGCCTCCCGTAGGAGT False FLX HI1_V2 1 V2 0 HI1_V2 CCME 5/28/08 FA6P1OK 0.5, g CCME XXQIITAXX pyrosequencing CCME lauber_88_soils 16S rRNA V2 0 250 22.8 HI1 False 11.8 0.529 2008 soil metagenome GAZ:United States of America 0-0.05 True 700 ENVO:Tropical and subtropical grasslands, savannas, and shrubland biome ENVO:grassland soil ENVO:soil HI1 20.08333333 -155.7 6.45 False lauber_88_soils True XXQIITAXX 58 857.6 aridisol Kohala Peninsula, HI USA 410658 loam Pyrosequencing-Based Assessment of Soil pH as a Predictor of Soil Bacterial Community Structure at the Continental Scale 11.4 0.0 soil metagenome 41.6025 268.33612500000004 1730.76800625 6_ +103.HI2 ACGCGCAGATAC CATGCTGCCTCCCGTAGGAGT HI2_V2 True lauber_88_soils CCME bacterial biogeography Pyrosequencing_based_assessment_of_soil_pH_as_a_predictor_of_soil_bacterial_community_structure_at_the_continental_scale Engencore TCAG 19502440 CA FWD:GCCTTGCCAGCCCGCTCAGTCAGAGTTTGATCCTGGCTCAG;REV:CATGCTGCCTCCCGTAGGAGT False FLX HI2_V2 1 V2 0 HI2_V2 CCME 5/28/08 FA6P1OK 0.5, g CCME XXQIITAXX pyrosequencing CCME lauber_88_soils 16S rRNA V2 0 750 22.8 HI2 False 11.0 11.805 2008 soil metagenome GAZ:United States of America 0-0.05 True 1000 ENVO:Tropical and subtropical grasslands, savannas, and shrubland biome ENVO:grassland soil ENVO:soil HI2 20.08333333 -155.7 6.32 False lauber_88_soils True XXQIITAXX 36 357.6 andisol Kohala Peninsula, HI USA 410658 sandy loam Pyrosequencing-Based Assessment of Soil pH as a Predictor of Soil Bacterial Community Structure at the Continental Scale 158.8 0.0 soil metagenome 39.942400000000006 252.43596800000003 1595.3953177600006 6_ +103.HI3 ACGCTATCTGGA CATGCTGCCTCCCGTAGGAGT HI3_V2 True lauber_88_soils CCME bacterial biogeography Pyrosequencing_based_assessment_of_soil_pH_as_a_predictor_of_soil_bacterial_community_structure_at_the_continental_scale Engencore TCAG 19502440 CA FWD:GCCTTGCCAGCCCGCTCAGTCAGAGTTTGATCCTGGCTCAG;REV:CATGCTGCCTCCCGTAGGAGT False FLX HI3_V2 1 V2 0 HI3_V2 CCME 5/28/08 FA6P1OK 0.5, g CCME XXQIITAXX pyrosequencing CCME lauber_88_soils 16S rRNA V2 0 1000 22.8 HI3 False 11.2 13.285 2008 soil metagenome GAZ:United States of America 0-0.05 True 1500 ENVO:Tropical and subtropical grasslands, savannas, and shrubland biome ENVO:grassland soil ENVO:soil HI3 20.08333333 -155.7 6.53 False lauber_88_soils True XXQIITAXX 25 107.6 andisol Kohala Peninsula, HI USA 410658 loamy sand Pyrosequencing-Based Assessment of Soil pH as a Predictor of Soil Bacterial Community Structure at the Continental Scale 182.4 0.0 soil metagenome 42.6409 278.445077 1818.24635281 6_ diff --git a/data_application/88soils/88soils_taxonomy.txt b/data_application/88soils/88soils_taxonomy.txt new file mode 100644 index 0000000..edba93e --- /dev/null +++ b/data_application/88soils/88soils_taxonomy.txt @@ -0,0 +1,7397 @@ +Feature ID Taxon +1000512 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Gaiellales;f__Gaiellaceae;g__;s__ +1000547 k__Bacteria;p__Firmicutes;c__Bacilli;o__Lactobacillales;f__Streptococcaceae;g__Streptococcus;s__ +1000654 k__Bacteria;p__Bacteroidetes;c__Sphingobacteriia;o__Sphingobacteriales;f__Sphingobacteriaceae;g__;s__ +1000757 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Bradyrhizobiaceae;g__;s__ +1000876 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Nocardioidaceae;g__Nocardioides;s__ +1001333 k__Bacteria;p__Acidobacteria;c__Holophagae;o__Holophagales;f__Holophagaceae;g__;s__ +100169 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__;s__ +1001960 k__Bacteria;p__Verrucomicrobia;c__[Pedosphaerae];o__[Pedosphaerales];f__;g__;s__ +1001967 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +1002658 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +100307 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Sinobacteraceae;g__;s__ +1003206 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Sphingomonas;s__ +1004666 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Bdellovibrionales;f__Bdellovibrionaceae;g__Bdellovibrio;s__ +100543 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Rhodocyclales;f__Rhodocyclaceae;g__Propionivibrio;s__ +1006099 k__Bacteria;p__Bacteroidetes;c__Sphingobacteriia;o__Sphingobacteriales;f__;g__;s__ +1006382 k__Bacteria;p__Bacteroidetes;c__Sphingobacteriia;o__Sphingobacteriales;f__;g__;s__ +100640 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__IS-44;f__;g__;s__ +1007278 k__Bacteria;p__Gemmatimonadetes;c__Gemm-3;o__;f__;g__;s__ +1007490 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__SC-I-84;f__;g__;s__ +100793 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Bradyrhizobiaceae;g__Bosea;s__genosp. +1008207 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__;g__;s__ +1009307 k__Bacteria;p__Bacteroidetes;c__Flavobacteriia;o__Flavobacteriales;f__Flavobacteriaceae;g__Flavobacterium;s__ +100933 k__Bacteria;p__TM7;c__SC3;o__;f__;g__;s__ +1009427 k__Bacteria;p__Firmicutes;c__Clostridia;o__Clostridiales;f__Clostridiaceae;g__Clostridium;s__ +1009440 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Caulobacterales;f__Caulobacteraceae;g__;s__ +1009717 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Gaiellales;f__Gaiellaceae;g__;s__ +1011216 k__Bacteria;p__Actinobacteria;c__Acidimicrobiia;o__Acidimicrobiales;f__EB1017;g__;s__ +1011380 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Solirubrobacterales;f__Conexibacteraceae;g__;s__ +1011476 k__Bacteria;p__Actinobacteria;c__Acidimicrobiia;o__Acidimicrobiales;f__C111;g__;s__ +1011906 k__Bacteria;p__Bacteroidetes;c__Bacteroidia;o__Bacteroidales;f__SB-1;g__;s__ +1012112 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Solirubrobacterales;f__Solirubrobacteraceae;g__;s__ +101218 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Legionellales;f__Coxiellaceae;g__;s__ +1012195 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__Segetibacter;s__ +1012668 k__Bacteria;p__Actinobacteria;c__Acidimicrobiia;o__Acidimicrobiales;f__EB1017;g__;s__ +101293 k__Bacteria;p__Bacteroidetes;c__Flavobacteriia;o__Flavobacteriales;f__[Weeksellaceae];g__Chryseobacterium;s__ +1013060 k__Bacteria;p__Actinobacteria;c__Acidimicrobiia;o__Acidimicrobiales;f__EB1017;g__;s__ +1013589 k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__Larkinella;s__ +1013954 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +1013967 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Gaiellales;f__Gaiellaceae;g__;s__ +1014728 k__Bacteria;p__Bacteroidetes;c__Sphingobacteriia;o__Sphingobacteriales;f__Sphingobacteriaceae;g__;s__ +101542 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ +1016118 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__;g__;s__ +1017021 k__Bacteria;p__Proteobacteria;c__TA18;o__PHOS-HD29;f__;g__;s__ +1018122 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__;g__;s__ +1018359 k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__Dyadobacter;s__ +101868 k__Bacteria;p__Verrucomicrobia;c__[Spartobacteria];o__[Chthoniobacterales];f__[Chthoniobacteraceae];g__DA101;s__ +101884 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__;f__;g__;s__ +101901 k__Bacteria;p__TM7;c__TM7-3;o__;f__;g__;s__ +1019326 k__Bacteria;p__WS3;c__PRR-12;o__Sediment-1;f__;g__;s__ +1019914 k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__;s__ +1020625 k__Bacteria;p__Firmicutes;c__Clostridia;o__Clostridiales;f__Peptostreptococcaceae;g__;s__ +1021365 k__Bacteria;p__Armatimonadetes;c__Chthonomonadetes;o__SJA-22;f__;g__;s__ +102142 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Rhizobiaceae;g__Rhizobium;s__ +1021582 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Acidobacteriaceae;g__;s__ +102183 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__;f__;g__;s__ +1021984 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__;g__;s__ +1022659 k__Bacteria;p__Actinobacteria;c__Acidimicrobiia;o__Acidimicrobiales;f__EB1017;g__;s__ +1023338 k__Bacteria;p__Planctomycetes;c__Phycisphaerae;o__WD2101;f__;g__;s__ +102348 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Acetobacteraceae;g__;s__ +1023953 k__Bacteria;p__Bacteroidetes;c__Sphingobacteriia;o__Sphingobacteriales;f__Sphingobacteriaceae;g__Pedobacter;s__cryoconitis +1024056 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__;s__ +1024089 k__Bacteria;p__Acidobacteria;c__DA052;o__Ellin6513;f__;g__;s__ +1024188 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Sphingomonas;s__wittichii +1024420 k__Bacteria;p__Firmicutes;c__Clostridia;o__Clostridiales;f__Ruminococcaceae;g__;s__ +1024519 k__Bacteria;p__Bacteroidetes;c__Sphingobacteriia;o__Sphingobacteriales;f__;g__;s__ +1024572 k__Bacteria;p__Actinobacteria;c__Acidimicrobiia;o__Acidimicrobiales;f__;g__;s__ +1024739 k__Bacteria;p__Actinobacteria;c__Acidimicrobiia;o__Acidimicrobiales;f__C111;g__;s__ +1026050 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Gaiellales;f__Gaiellaceae;g__;s__ +1026431 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Pseudonocardiaceae;g__Actinomycetospora;s__ +1027121 k__Bacteria;p__Bacteroidetes;c__Sphingobacteriia;o__Sphingobacteriales;f__Sphingobacteriaceae;g__;s__ +1027400 k__Bacteria;p__Actinobacteria;c__Acidimicrobiia;o__Acidimicrobiales;f__EB1017;g__;s__ +1027418 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Erythrobacteraceae;g__;s__ +102750 k__Bacteria;p__Actinobacteria;c__Acidimicrobiia;o__Acidimicrobiales;f__;g__;s__ +102773 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Xanthomonadaceae;g__;s__ +1027943 k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__Hymenobacter;s__ +102799 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__A21b;f__EB1003;g__;s__ +1028706 k__Bacteria;p__Verrucomicrobia;c__[Pedosphaerae];o__[Pedosphaerales];f__Ellin515;g__;s__ +1028956 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__MIZ46;f__;g__;s__ +102915 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Sphingomonas;s__asaccharolytica +1029421 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +1029559 k__Bacteria;p__Cyanobacteria;c__Chloroplast;o__Stramenopiles;f__;g__;s__ +1029922 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Ellin329;f__;g__;s__ +102993 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Frankiaceae;g__Actinomycetales;s__Ellin122 +1030212 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Bdellovibrionales;f__Bdellovibrionaceae;g__Bdellovibrio;s__ +1030247 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__Segetibacter;s__ +1030519 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Nocardioidaceae;g__;s__ +1030575 k__Bacteria;p__Firmicutes;c__Bacilli;o__Lactobacillales;f__Streptococcaceae;g__Streptococcus;s__ +103132 k__Bacteria;p__Firmicutes;c__Clostridia;o__Clostridiales;f__Clostridiaceae;g__Clostridium;s__ +1031581 k__Bacteria;p__WPS-2;c__;o__;f__;g__;s__ +103167 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Beijerinckiaceae;g__;s__ +103211 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__Ellin6075;g__;s__ +10323 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Enterobacteriales;f__Enterobacteriaceae;g__Ewingella;s__americana +1032509 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +1032653 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Solirubrobacterales;f__Solirubrobacteraceae;g__;s__ +103285 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Caulobacterales;f__Caulobacteraceae;g__Nitrobacteria;s__hamadaniensis +1033380 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Nocardioidaceae;g__;s__ +1033426 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Nocardioidaceae;g__Nocardioides;s__ +103410 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Rhizobiaceae;g__Rhizobium;s__ +1034106 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Paenibacillaceae;g__Paenibacillus;s__ +103478 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Gaiellales;f__Gaiellaceae;g__;s__ +1034839 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Acetobacteraceae;g__Roseococcus;s__ +1034969 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Ellin329;f__;g__;s__ +103580 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__;g__;s__ +103628 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Microbacteriaceae;g__Microbacterium;s__ +1037032 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__Ellin6075;g__;s__ +1037111 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__Flavisolibacter;s__ +1037256 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Gaiellales;f__Gaiellaceae;g__;s__ +1037355 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Streptomycetaceae;g__Streptomyces;s__ +1038525 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Desulfuromonadales;f__Geobacteraceae;g__Geobacter;s__ +103869 k__Bacteria;p__Gemmatimonadetes;c__Gemmatimonadetes;o__N1423WL;f__;g__;s__ +1038987 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__Flavisolibacter;s__ +1040091 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__;g__;s__ +104172 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Gaiellales;f__Gaiellaceae;g__;s__ +1041758 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Pseudomonadales;f__Moraxellaceae;g__;s__ +104181 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +1042008 k__Bacteria;p__Cyanobacteria;c__4C0d-2;o__MLE1-12;f__;g__;s__ +104216 k__Bacteria;p__Verrucomicrobia;c__[Spartobacteria];o__[Chthoniobacterales];f__[Chthoniobacteraceae];g__DA101;s__ +1042351 k__Bacteria;p__Nitrospirae;c__Nitrospira;o__Nitrospirales;f__0319-6A21;g__;s__ +1042401 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +104243 k__Bacteria;p__Bacteroidetes;c__Flavobacteriia;o__Flavobacteriales;f__[Weeksellaceae];g__;s__ +1042519 k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__;s__ +104265 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Frankiaceae;g__;s__ +1042774 k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__;s__ +104281 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__;s__ +104310 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Frankiaceae;g__;s__ +104326 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Acidobacteriaceae;g__;s__ +1043652 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Nocardioidaceae;g__;s__ +1043812 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__;g__;s__ +1044235 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Caulobacterales;f__Caulobacteraceae;g__;s__ +1044319 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +1044581 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Solirubrobacterales;f__;g__;s__ +104490 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +1044938 k__Bacteria;p__Gemmatimonadetes;c__Gemmatimonadetes;o__Gemmatimonadales;f__Gemmatimonadaceae;g__Gemmatimonas;s__ +104612 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Rhodocyclales;f__Rhodocyclaceae;g__Uliginosibacterium;s__ +104622 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__ +1046395 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Solirubrobacterales;f__Patulibacteraceae;g__;s__ +1046488 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Bradyrhizobiaceae;g__;s__ +1047075 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Nocardioidaceae;g__;s__ +104742 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__Sediminibacterium;s__ +1048814 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__;g__;s__ +104916 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__SC-I-84;f__;g__;s__ +1049393 k__Bacteria;p__Verrucomicrobia;c__[Spartobacteria];o__[Chthoniobacterales];f__[Chthoniobacteraceae];g__Chthoniobacter;s__ +1049927 k__Bacteria;p__Bacteroidetes;c__Sphingobacteriia;o__Sphingobacteriales;f__;g__;s__ +1050650 k__Bacteria;p__Fibrobacteres;c__Fibrobacteria;o__258ds10;f__;g__;s__ +1050747 k__Bacteria;p__Verrucomicrobia;c__[Spartobacteria];o__[Chthoniobacterales];f__[Chthoniobacteraceae];g__Candidatus Xiphinematobacter;s__ +105132 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Methylophilales;f__Methylophilaceae;g__;s__ +1051517 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__ +1051607 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Caulobacterales;f__Caulobacteraceae;g__;s__ +1051693 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +105173 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__ +105239 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__Haliangiaceae;g__;s__ +1052559 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__;s__ +1052930 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Xanthomonadaceae;g__Luteimonas;s__ +1053194 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Sinobacteraceae;g__;s__ +1053438 k__Bacteria;p__Bacteroidetes;c__Flavobacteriia;o__Flavobacteriales;f__Flavobacteriaceae;g__Flavobacterium;s__ +1053703 k__Bacteria;p__Bacteroidetes;c__Sphingobacteriia;o__Sphingobacteriales;f__Sphingobacteriaceae;g__Pedobacter;s__ +1054236 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Paenibacillaceae;g__Paenibacillus;s__ +105453 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__;g__;s__ +105470 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Methylobacteriaceae;g__Methylobacterium;s__ +105552 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +1055600 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Desulfuromonadales;f__Geobacteraceae;g__Geobacter;s__ +105617 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Streptomycetaceae;g__Streptomyces;s__ +1056577 k__Bacteria;p__Bacteroidetes;c__Flavobacteriia;o__Flavobacteriales;f__Cryomorphaceae;g__Fluviicola;s__ +105699 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Xanthomonadaceae;g__;s__ +1057720 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__;s__ +1058221 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Pseudomonadales;f__Moraxellaceae;g__Moraxella;s__ +1058276 k__Bacteria;p__Bacteroidetes;c__Flavobacteriia;o__Flavobacteriales;f__Flavobacteriaceae;g__Flavobacterium;s__succinicans +105839 k__Bacteria;p__Gemmatimonadetes;c__Gemmatimonadetes;o__;f__;g__;s__ +1059509 k__Bacteria;p__Bacteroidetes;c__Flavobacteriia;o__Flavobacteriales;f__Flavobacteriaceae;g__Flavobacterium;s__ +1059557 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__MND1;f__;g__;s__ +1059652 k__Bacteria;p__Verrucomicrobia;c__[Pedosphaerae];o__[Pedosphaerales];f__Ellin517;g__;s__ +1059748 k__Bacteria;p__WPS-2;c__;o__;f__;g__;s__ +1059762 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Sinobacteraceae;g__;s__ +1059885 k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__Sporocytophaga;s__ +1060353 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Solirubrobacterales;f__Conexibacteraceae;g__;s__ +1061145 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Beijerinckiaceae;g__;s__ +106141 k__Bacteria;p__Firmicutes;c__Clostridia;o__Clostridiales;f__Clostridiaceae;g__Clostridium;s__ +1061691 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__;f__;g__;s__ +1062123 k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__Dyadobacter;s__ +106242 k__Bacteria;p__Bacteroidetes;c__Sphingobacteriia;o__Sphingobacteriales;f__Sphingobacteriaceae;g__Pedobacter;s__ +1062704 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__ +1062966 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Gaiellales;f__Gaiellaceae;g__;s__ +106297 k__Bacteria;p__Chloroflexi;c__TK10;o__B07_WMSP1;f__;g__;s__ +1063098 k__Bacteria;p__Armatimonadetes;c__Chthonomonadetes;o__SJA-22;f__;g__;s__ +1063513 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Nocardioidaceae;g__;s__ +1064003 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Legionellales;f__;g__;s__ +1064410 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +1064541 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__;g__;s__ +106470 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Burkholderiaceae;g__Burkholderia;s__ +1064764 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Paenibacillaceae;g__Paenibacillus;s__ +1064852 k__Bacteria;p__Bacteroidetes;c__Flavobacteriia;o__Flavobacteriales;f__Flavobacteriaceae;g__Flavobacterium;s__ +1065051 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Solirubrobacterales;f__;g__;s__ +1065319 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__;f__;g__;s__ +106562 k__Bacteria;p__OD1;c__ZB2;o__;f__;g__;s__ +1066138 k__Bacteria;p__TM7;c__TM7-1;o__;f__;g__;s__ +1066368 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Pasteurellales;f__Pasteurellaceae;g__Aggregatibacter;s__ +1066654 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +1066793 k__Bacteria;p__Bacteroidetes;c__Sphingobacteriia;o__Sphingobacteriales;f__Sphingobacteriaceae;g__;s__ +1067178 k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__Spirosoma;s__ +1067268 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Solirubrobacterales;f__;g__;s__ +106749 k__Bacteria;p__Bacteroidetes;c__Flavobacteriia;o__Flavobacteriales;f__[Weeksellaceae];g__Chryseobacterium;s__ +1068051 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Bdellovibrionales;f__Bdellovibrionaceae;g__Bdellovibrio;s__ +1068155 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +106843 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Geobacillus;s__ +106874 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Solirubrobacterales;f__;g__;s__ +1069076 k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__Adhaeribacter;s__ +1069213 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +1069478 k__Bacteria;p__Armatimonadetes;c__0319-6E2;o__;f__;g__;s__ +106997 k__Bacteria;p__Bacteroidetes;c__Sphingobacteriia;o__Sphingobacteriales;f__Sphingobacteriaceae;g__;s__ +1070143 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__;g__;s__ +107036 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Bradyrhizobiaceae;g__Nitrobacter;s__ +107137 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Methylobacteriaceae;g__Methylobacterium;s__ +1071450 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Pseudomonadales;f__Pseudomonadaceae;g__Pseudomonas;s__fragi +107187 k__Bacteria;p__Actinobacteria;c__Acidimicrobiia;o__Acidimicrobiales;f__;g__;s__ +1072424 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Nocardioidaceae;g__Friedmanniella;s__ +1072446 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Bradyrhizobiaceae;g__Balneimonas;s__ +1072484 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Legionellales;f__;g__;s__ +1072673 k__Bacteria;p__Bacteroidetes;c__Flavobacteriia;o__Flavobacteriales;f__Flavobacteriaceae;g__Flavobacterium;s__ +1072934 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Acetobacteraceae;g__;s__ +1073352 k__Bacteria;p__Planctomycetes;c__Phycisphaerae;o__Phycisphaerales;f__;g__;s__ +1073431 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Planococcaceae;g__Sporosarcina;s__ +107349 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Burkholderiaceae;g__Pandoraea;s__ +1074016 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Oxalobacteraceae;g__;s__ +107402 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Sinobacteraceae;g__Steroidobacter;s__ +107418 k__Bacteria;p__Chlorobi;c__OPB56;o__;f__;g__;s__ +1074248 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Methylobacteriaceae;g__Methylobacterium;s__adhaesivum +1074434 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Micromonosporaceae;g__;s__ +1074498 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__MIZ46;f__;g__;s__ +107501 k__Bacteria;p__Bacteroidetes;c__Flavobacteriia;o__Flavobacteriales;f__[Weeksellaceae];g__Chryseobacterium;s__ +107529 k__Bacteria;p__Bacteroidetes;c__Sphingobacteriia;o__Sphingobacteriales;f__Sphingobacteriaceae;g__Pedobacter;s__ +107566 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__HTCC2188;f__HTCC2089;g__;s__ +1075732 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__;g__;s__ +1075889 k__Bacteria;p__OP11;c__WCHB1-64;o__d153;f__;g__;s__ +107654 k__Bacteria;p__TM7;c__TM7-1;o__;f__;g__;s__ +1076759 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Acetobacteraceae;g__Roseococcus;s__ +1077422 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +1078167 k__Bacteria;p__Bacteroidetes;c__Flavobacteriia;o__Flavobacteriales;f__Flavobacteriaceae;g__Flavobacterium;s__ +1078362 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Xanthomonadaceae;g__Luteimonas;s__ +107878 k__Bacteria;p__TM7;c__TM7-3;o__I025;f__;g__;s__ +1078982 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +1078997 k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__Dyadobacter;s__ +1080380 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Spirobacillales;f__;g__;s__ +1080447 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +1081014 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Desulfobacterales;f__Desulfobacteraceae;g__;s__ +1081178 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Solirubrobacterales;f__Conexibacteraceae;g__;s__ +1081489 k__Bacteria;p__Fibrobacteres;c__Fibrobacteria;o__258ds10;f__;g__;s__ +1081618 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Solirubrobacterales;f__Patulibacteraceae;g__;s__ +1082249 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +1082552 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Methylobacteriaceae;g__Methylobacterium;s__ +1083460 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Syntrophobacterales;f__Syntrophobacteraceae;g__;s__ +1083580 k__Bacteria;p__Gemmatimonadetes;c__Gemmatimonadetes;o__N1423WL;f__;g__;s__ +1084417 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Burkholderiaceae;g__Lautropia;s__ +1084705 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__Flavisolibacter;s__ +1084799 k__Bacteria;p__Bacteroidetes;c__Flavobacteriia;o__Flavobacteriales;f__Flavobacteriaceae;g__Flavobacterium;s__ +1085127 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__SC-I-84;f__;g__;s__ +1085175 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Bdellovibrionales;f__Bdellovibrionaceae;g__Bdellovibrio;s__ +1085326 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__;s__ +1085627 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__;g__;s__ +1085916 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +1086339 k__Bacteria;p__Bacteroidetes;c__Sphingobacteriia;o__Sphingobacteriales;f__;g__;s__ +1086554 k__Bacteria;p__Bacteroidetes;c__Sphingobacteriia;o__Sphingobacteriales;f__;g__;s__ +1086575 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Oxalobacteraceae;g__;s__ +1086621 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Burkholderiaceae;g__Burkholderia;s__ +1086934 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Pseudonocardiaceae;g__;s__ +1087462 k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__Cytophaga;s__ +1087471 k__Bacteria;p__Bacteroidetes;c__Sphingobacteriia;o__Sphingobacteriales;f__;g__;s__ +1087611 k__Bacteria;p__Gemmatimonadetes;c__Gemmatimonadetes;o__Ellin5290;f__;g__;s__ +1087958 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__;s__ +1088254 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Nocardioidaceae;g__;s__ +1088618 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Caulobacterales;f__Caulobacteraceae;g__Phenylobacterium;s__ +1089190 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Frankiaceae;g__;s__ +108986 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Caulobacterales;f__Caulobacteraceae;g__Phenylobacterium;s__ +1089908 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Propionibacteriaceae;g__Propionibacterium;s__acnes +109057 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__0319-6G20;g__;s__ +1090634 k__Bacteria;p__Bacteroidetes;c__Sphingobacteriia;o__Sphingobacteriales;f__;g__;s__ +1091225 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Solirubrobacterales;f__;g__;s__ +1091321 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__Segetibacter;s__ +1091625 k__Bacteria;p__Verrucomicrobia;c__Opitutae;o__Opitutales;f__Opitutaceae;g__Opitutus;s__ +1091635 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +1092813 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ +1093690 k__Bacteria;p__Verrucomicrobia;c__[Pedosphaerae];o__[Pedosphaerales];f__Ellin517;g__;s__ +1093698 k__Bacteria;p__Bacteroidetes;c__Flavobacteriia;o__Flavobacteriales;f__Flavobacteriaceae;g__Flavobacterium;s__ +109382 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__;g__;s__ +1093945 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Mycobacteriaceae;g__Mycobacterium;s__ +1094340 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Sinobacteraceae;g__;s__ +1094372 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__;s__ +1094433 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Gaiellales;f__Gaiellaceae;g__;s__ +1094706 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Legionellales;f__Coxiellaceae;g__Aquicella;s__ +1094887 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Gaiellales;f__Gaiellaceae;g__;s__ +1094976 k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__;s__ +1095960 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Kaistobacter;s__ +1096310 k__Bacteria;p__Verrucomicrobia;c__[Pedosphaerae];o__[Pedosphaerales];f__Ellin515;g__;s__ +1096660 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__;g__;s__ +1096766 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Frankiaceae;g__;s__ +109707 k__Bacteria;p__Planctomycetes;c__Phycisphaerae;o__WD2101;f__;g__;s__ +109836 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Saprospiraceae;g__;s__ +1098922 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Hyphomicrobium;s__ +109907 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +1099157 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Legionellales;f__Coxiellaceae;g__Aquicella;s__ +1099898 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Sinobacteraceae;g__;s__ +1100798 k__Bacteria;p__Firmicutes;c__Clostridia;o__Clostridiales;f__Veillonellaceae;g__Pelosinus;s__ +1101315 k__Bacteria;p__Actinobacteria;c__Acidimicrobiia;o__Acidimicrobiales;f__C111;g__;s__ +110208 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__AKIW659;g__;s__ +1102477 k__Bacteria;p__Bacteroidetes;c__Sphingobacteriia;o__Sphingobacteriales;f__Sphingobacteriaceae;g__;s__ +1102554 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +110291 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ +1102974 k__Bacteria;p__Armatimonadetes;c__Chthonomonadetes;o__Chthonomonadales;f__Chthonomonadaceae;g__;s__ +110321 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Alicyclobacillaceae;g__Alicyclobacillus;s__ +1103604 k__Bacteria;p__Gemmatimonadetes;c__Gemmatimonadetes;o__Gemmatimonadales;f__;g__;s__ +1103871 k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__Adhaeribacter;s__ +1104445 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Streptomycetaceae;g__Kitasatospora;s__ +1104452 k__Bacteria;p__Gemmatimonadetes;c__Gemmatimonadetes;o__;f__;g__;s__ +1104505 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__Haliangiaceae;g__;s__ +1104509 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__;s__ +1104594 k__Bacteria;p__Verrucomicrobia;c__[Pedosphaerae];o__[Pedosphaerales];f__Ellin515;g__;s__ +1104621 k__Bacteria;p__Gemmatimonadetes;c__Gemmatimonadetes;o__C114;f__;g__;s__ +1104688 k__Bacteria;p__Acidobacteria;c__DA052;o__Ellin6513;f__;g__;s__ +1104695 k__Bacteria;p__Verrucomicrobia;c__[Methylacidiphilae];o__S-BQ2-57;f__;g__;s__ +1104749 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Legionellales;f__Coxiellaceae;g__;s__ +1104782 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Ellin6067;f__;g__;s__ +1104806 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Caulobacterales;f__Caulobacteraceae;g__Mycoplana;s__ +1104923 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__A21b;f__EB1003;g__;s__ +1104941 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Legionellales;f__Coxiellaceae;g__;s__ +1105075 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__;s__ +1105085 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Caulobacterales;f__Caulobacteraceae;g__Asticcacaulis;s__biprosthecium +1105138 k__Bacteria;p__WS3;c__PRR-12;o__Sediment-1;f__;g__;s__ +1105149 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__Candidatus Koribacter;s__ +1105280 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Burkholderiaceae;g__;s__ +1105298 k__Bacteria;p__Verrucomicrobia;c__[Pedosphaerae];o__[Pedosphaerales];f__Ellin515;g__;s__ +1105307 k__Bacteria;p__TM7;c__TM7-1;o__;f__;g__;s__ +1105388 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Oxalobacteraceae;g__;s__ +1105389 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__;s__ +1105513 k__Bacteria;p__Gemmatimonadetes;c__Gemm-1;o__;f__;g__;s__ +1105521 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__;s__ +1105528 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Bdellovibrionales;f__Bdellovibrionaceae;g__Bdellovibrio;s__ +1105592 k__Bacteria;p__TM6;c__SJA-4;o__;f__;g__;s__ +1105652 k__Bacteria;p__Nitrospirae;c__Nitrospira;o__Nitrospirales;f__0319-6A21;g__;s__ +1105689 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Rhizobiaceae;g__Agrobacterium;s__ +1105744 k__Bacteria;p__Actinobacteria;c__Acidimicrobiia;o__Acidimicrobiales;f__;g__;s__ +1105745 k__Bacteria;p__Gemmatimonadetes;c__Gemmatimonadetes;o__Ellin5290;f__;g__;s__ +1105780 k__Bacteria;p__Bacteroidetes;c__Flavobacteriia;o__Flavobacteriales;f__Flavobacteriaceae;g__Flavobacterium;s__ +1105814 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Bradyrhizobiaceae;g__Bradyrhizobium;s__ +1105878 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Pseudonocardiaceae;g__;s__ +1106090 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Ellin329;f__;g__;s__ +1106130 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Streptomycetaceae;g__;s__ +1106173 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__;s__ +1106213 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Legionellales;f__;g__;s__ +1106246 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__;g__;s__ +1106267 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__;g__;s__ +1106318 k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__Rhodocytophaga;s__ +1106471 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Nocardioidaceae;g__;s__ +1106498 k__Bacteria;p__Nitrospirae;c__Nitrospira;o__Nitrospirales;f__Nitrospiraceae;g__Nitrospira;s__ +1106524 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +1106540 k__Bacteria;p__Chloroflexi;c__Anaerolineae;o__SBR1031;f__A4b;g__;s__ +1106547 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Legionellales;f__;g__;s__ +1106646 k__Bacteria;p__Chloroflexi;c__Anaerolineae;o__SBR1031;f__A4b;g__;s__ +1106653 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Sinobacteraceae;g__;s__ +1106732 k__Bacteria;p__TM7;c__TM7-1;o__;f__;g__;s__ +1106796 k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__;s__ +1106817 k__Bacteria;p__Verrucomicrobia;c__[Spartobacteria];o__[Chthoniobacterales];f__[Chthoniobacteraceae];g__DA101;s__ +1106825 k__Bacteria;p__Chlorobi;c__OPB56;o__;f__;g__;s__ +1106842 k__Bacteria;p__Bacteroidetes;c__Sphingobacteriia;o__Sphingobacteriales;f__Sphingobacteriaceae;g__;s__ +1106889 k__Bacteria;p__Nitrospirae;c__Nitrospira;o__Nitrospirales;f__Nitrospiraceae;g__JG37-AG-70;s__ +1107029 k__Bacteria;p__Acidobacteria;c__DA052;o__Ellin6513;f__;g__;s__ +1107044 k__Bacteria;p__Verrucomicrobia;c__[Pedosphaerae];o__[Pedosphaerales];f__auto67_4W;g__;s__ +1107049 k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__;s__ +1107096 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Sinobacteraceae;g__;s__ +1107148 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Acetobacteraceae;g__;s__ +1107235 k__Bacteria;p__TM7;c__TM7-1;o__;f__;g__;s__ +1107280 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Sinobacteraceae;g__;s__ +1107346 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__;g__;s__ +110735 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Desulfuromonadales;f__Geobacteraceae;g__Geobacter;s__ +1107410 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +1107468 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Propionibacteriaceae;g__;s__ +1107499 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__;s__ +1107510 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Enterobacteriales;f__Enterobacteriaceae;g__;s__ +110756 k__Bacteria;p__Verrucomicrobia;c__[Pedosphaerae];o__[Pedosphaerales];f__;g__;s__ +1107601 k__Bacteria;p__Actinobacteria;c__Rubrobacteria;o__Rubrobacterales;f__Rubrobacteraceae;g__Rubrobacter;s__ +1107608 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__;g__;s__ +1107738 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +1107824 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Legionellales;f__Coxiellaceae;g__;s__ +1107842 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Methylophilales;f__;g__;s__ +1107976 k__Bacteria;p__Acidobacteria;c__Sva0725;o__Sva0725;f__;g__;s__ +1107982 k__Bacteria;p__TM7;c__TM7-1;o__;f__;g__;s__ +1107985 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__;g__;s__ +1107999 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Micrococcaceae;g__;s__ +1108099 k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__;s__ +1108199 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__;s__ +1108244 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Paenibacillaceae;g__Brevibacillus;s__laterosporus +1108340 k__Bacteria;p__Chloroflexi;c__P2-11E;o__;f__;g__;s__ +1108390 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__;g__;s__ +1108431 k__Bacteria;p__Verrucomicrobia;c__[Pedosphaerae];o__[Pedosphaerales];f__Ellin515;g__;s__ +1108454 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__SBla14;f__;g__;s__ +1108457 k__Bacteria;p__TM7;c__TM7-1;o__;f__;g__;s__ +1108479 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__;s__ +1108490 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Bradyrhizobiaceae;g__;s__ +1108523 k__Bacteria;p__Acidobacteria;c__iii1-8;o__DS-18;f__;g__;s__ +1108575 k__Bacteria;p__Gemmatimonadetes;c__Gemmatimonadetes;o__KD8-87;f__;g__;s__ +1108603 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__A21b;f__EB1003;g__;s__ +1108652 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Rhodocyclales;f__Rhodocyclaceae;g__Dechloromonas;s__ +1108658 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Frankiaceae;g__;s__ +1108726 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__Methylibium;s__ +1108799 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__MND1;f__;g__;s__ +1108830 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Methylocystaceae;g__;s__ +1108831 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__;s__ +1108846 k__Bacteria;p__Chloroflexi;c__Anaerolineae;o__Caldilineales;f__Caldilineaceae;g__;s__ +1108899 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Sinobacteraceae;g__Steroidobacter;s__ +1108924 k__Bacteria;p__Acidobacteria;c__iii1-8;o__DS-18;f__;g__;s__ +1108925 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Solirubrobacterales;f__Conexibacteraceae;g__;s__ +1108941 k__Bacteria;p__Gemmatimonadetes;c__Gemmatimonadetes;o__;f__;g__;s__ +1108954 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__;g__;s__ +1108959 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Caulobacterales;f__Caulobacteraceae;g__Mycoplana;s__ +1108960 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Sphingomonas;s__ +1108982 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodobacterales;f__Rhodobacteraceae;g__Rubellimicrobium;s__ +1108989 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__;s__ +1109067 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Methylobacteriaceae;g__Methylobacterium;s__organophilum +1109121 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ +1109141 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Nocardioidaceae;g__;s__ +1109251 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Pseudomonadales;f__Pseudomonadaceae;g__Pseudomonas;s__ +1109385 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Rhodobiaceae;g__Afifella;s__ +1109477 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Acidobacteriaceae;g__;s__ +1109482 k__Bacteria;p__Bacteroidetes;c__Sphingobacteriia;o__Sphingobacteriales;f__Sphingobacteriaceae;g__;s__ +1109607 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Cellulomonadaceae;g__Cellulomonas;s__ +1109633 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__;g__;s__ +1109646 k__Bacteria;p__Verrucomicrobia;c__[Spartobacteria];o__[Chthoniobacterales];f__[Chthoniobacteraceae];g__DA101;s__ +1109749 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Ellin329;f__;g__;s__ +1109766 k__Bacteria;p__Acidobacteria;c__DA052;o__Ellin6513;f__;g__;s__ +1109902 k__Bacteria;p__Acidobacteria;c__DA052;o__Ellin6513;f__;g__;s__ +1109913 k__Bacteria;p__Actinobacteria;c__Acidimicrobiia;o__Acidimicrobiales;f__;g__;s__ +1109927 k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__Adhaeribacter;s__ +1110000 k__Bacteria;p__Bacteroidetes;c__Sphingobacteriia;o__Sphingobacteriales;f__Sphingobacteriaceae;g__;s__ +1110065 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__Rubrivivax;s__ +1110083 k__Bacteria;p__Proteobacteria;c__;o__;f__;g__;s__ +1110139 k__Bacteria;p__Bacteroidetes;c__At12OctB3;o__;f__;g__;s__ +1110169 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__;g__;s__ +1110212 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodobacterales;f__Hyphomonadaceae;g__;s__ +1110227 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__;s__ +1110261 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__Haliangiaceae;g__;s__ +1110303 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Sinobacteraceae;g__;s__ +1110362 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__SC-I-84;f__;g__;s__ +1110391 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__;g__;s__ +1110514 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Syntrophobacterales;f__Syntrophobacteraceae;g__;s__ +1110545 k__Bacteria;p__GAL15;c__;o__;f__;g__;s__ +1110562 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Acidobacteriaceae;g__;s__ +1110625 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Solirubrobacterales;f__;g__;s__ +1110626 k__Bacteria;p__TM7;c__TM7-1;o__;f__;g__;s__ +1110709 k__Bacteria;p__Verrucomicrobia;c__[Spartobacteria];o__[Chthoniobacterales];f__[Chthoniobacteraceae];g__DA101;s__ +1110732 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +1110760 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Nocardioidaceae;g__Nocardioides;s__ +1110791 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +1110792 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__Candidatus Koribacter;s__ +1110821 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Sphingomonas;s__ +1111024 k__Bacteria;p__Gemmatimonadetes;c__Gemmatimonadetes;o__Gemmatimonadales;f__;g__;s__ +111105 k__Bacteria;p__Nitrospirae;c__Nitrospira;o__Nitrospirales;f__Nitrospiraceae;g__Nitrospira;s__ +1111102 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Bradyrhizobiaceae;g__;s__ +1111109 k__Bacteria;p__Armatimonadetes;c__[Fimbriimonadia];o__[Fimbriimonadales];f__[Fimbriimonadaceae];g__;s__ +1111118 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Ellin329;f__;g__;s__ +1111207 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ +1111320 k__Bacteria;p__Acidobacteria;c__DA052;o__Ellin6513;f__;g__;s__ +1111342 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Oxalobacteraceae;g__;s__ +111136 k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__;s__ +1111372 k__Bacteria;p__Planctomycetes;c__Phycisphaerae;o__WD2101;f__;g__;s__ +1111373 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__;s__ +1111413 k__Bacteria;p__TM6;c__SJA-4;o__S1198;f__;g__;s__ +1111437 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__;f__;g__;s__ +1111496 k__Bacteria;p__Acidobacteria;c__DA052;o__Ellin6513;f__;g__;s__ +1111500 k__Bacteria;p__Gemmatimonadetes;c__Gemm-3;o__;f__;g__;s__ +1111517 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__11-24;f__;g__;s__ +1111551 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Beijerinckiaceae;g__;s__ +1111565 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__;g__;s__ +1111579 k__Bacteria;p__Gemmatimonadetes;c__Gemm-1;o__;f__;g__;s__ +111162 k__Bacteria;p__Planctomycetes;c__Phycisphaerae;o__WD2101;f__;g__;s__ +1111634 k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__;s__ +1111882 k__Bacteria;p__Bacteroidetes;c__Flavobacteriia;o__Flavobacteriales;f__Flavobacteriaceae;g__Flavobacterium;s__ +1111937 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__;g__;s__ +1111944 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Sphingomonas;s__ +1111968 k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__Adhaeribacter;s__ +1111992 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__Comamonas;s__ +1111998 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Nitrosomonadales;f__Nitrosomonadaceae;g__Nitrosovibrio;s__tenuis +1112035 k__Bacteria;p__Verrucomicrobia;c__[Pedosphaerae];o__[Pedosphaerales];f__Ellin515;g__;s__ +1112049 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Micrococcaceae;g__;s__ +1112326 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ +1112485 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Micrococcaceae;g__;s__ +1112489 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Oxalobacteraceae;g__;s__ +1112650 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__;s__ +1112694 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Legionellales;f__Coxiellaceae;g__;s__ +111272 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +1112740 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Syntrophobacterales;f__Syntrophobacteraceae;g__;s__ +1112793 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Pseudomonadales;f__Pseudomonadaceae;g__Pseudomonas;s__ +1112801 k__Bacteria;p__Gemmatimonadetes;c__Gemm-3;o__;f__;g__;s__ +1112858 k__Bacteria;p__Armatimonadetes;c__Armatimonadia;o__Armatimonadales;f__Armatimonadaceae;g__;s__ +111289 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Xanthomonadaceae;g__Stenotrophomonas;s__retroflexus +1112912 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Oxalobacteraceae;g__;s__ +1113025 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__;s__ +1113028 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__;g__;s__ +111304 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Novosphingobium;s__ +1113083 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Oxalobacteraceae;g__;s__ +1113101 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +1113105 k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__Adhaeribacter;s__ +1113180 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodobacterales;f__Rhodobacteraceae;g__Rubellimicrobium;s__ +1113229 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ +1113290 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__MND1;f__;g__;s__ +1113341 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__;s__ +1113471 k__Bacteria;p__Verrucomicrobia;c__[Pedosphaerae];o__[Pedosphaerales];f__Ellin515;g__;s__ +1113574 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__;s__ +1113667 k__Bacteria;p__Armatimonadetes;c__Armatimonadia;o__Armatimonadales;f__Armatimonadaceae;g__;s__ +1113764 k__Bacteria;p__Gemmatimonadetes;c__Gemm-3;o__;f__;g__;s__ +1113813 k__Bacteria;p__Chloroflexi;c__;o__;f__;g__;s__ +1114189 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Syntrophobacterales;f__Syntrophobacteraceae;g__;s__ +111439 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ +1114591 k__Bacteria;p__Bacteroidetes;c__Sphingobacteriia;o__Sphingobacteriales;f__;g__;s__ +1114616 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Methylocystaceae;g__;s__ +1114824 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__IS-44;f__;g__;s__ +1114884 k__Bacteria;p__OD1;c__ZB2;o__;f__;g__;s__ +1115061 k__Bacteria;p__Bacteroidetes;c__Flavobacteriia;o__Flavobacteriales;f__Flavobacteriaceae;g__Flavobacterium;s__ +1115110 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__;g__;s__ +1115272 k__Bacteria;p__Actinobacteria;c__Rubrobacteria;o__Rubrobacterales;f__Rubrobacteraceae;g__Rubrobacter;s__ +1115275 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__;s__ +1115368 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__;g__;s__ +1115374 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__;f__;g__;s__ +1115566 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__;s__ +1115572 k__Bacteria;p__Bacteroidetes;c__Flavobacteriia;o__Flavobacteriales;f__Flavobacteriaceae;g__Flavobacterium;s__ +1115689 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Sinobacteraceae;g__;s__ +1115889 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Streptomycetaceae;g__Streptomyces;s__indigoferus +1115973 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Streptomycetaceae;g__Streptomyces;s__purpeofuscus +1116073 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Sinobacteraceae;g__;s__ +1116305 k__Bacteria;p__Armatimonadetes;c__Chthonomonadetes;o__Chthonomonadales;f__Chthonomonadaceae;g__Chthonomonas;s__ +111642 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Sinobacteraceae;g__;s__ +1116472 k__Bacteria;p__OP11;c__WCHB1-64;o__d153;f__;g__;s__ +1116539 k__Bacteria;p__Acidobacteria;c__Sva0725;o__Sva0725;f__;g__;s__ +1116749 k__Bacteria;p__TM7;c__MJK10;o__;f__;g__;s__ +1116995 k__Bacteria;p__Chlorobi;c__OPB56;o__;f__;g__;s__ +1117094 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +1117097 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__;g__;s__ +1117349 k__Bacteria;p__Chloroflexi;c__C0119;o__;f__;g__;s__ +1117491 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Solirubrobacterales;f__;g__;s__ +1117497 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Streptomycetaceae;g__Streptomyces;s__aculeolatus +1117644 k__Bacteria;p__Actinobacteria;c__Acidimicrobiia;o__Acidimicrobiales;f__EB1017;g__;s__ +1117827 k__Bacteria;p__Planctomycetes;c__Planctomycetia;o__Gemmatales;f__Gemmataceae;g__;s__ +1117901 k__Bacteria;p__Chloroflexi;c__Anaerolineae;o__SJA-15;f__;g__;s__ +1117992 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__cereus +111806 k__Bacteria;p__Acidobacteria;c__iii1-8;o__DS-18;f__;g__;s__ +1118109 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__MND1;f__;g__;s__ +1118166 k__Bacteria;p__Firmicutes;c__Clostridia;o__Clostridiales;f__Clostridiaceae;g__Clostridium;s__ +1118235 k__Bacteria;p__Acidobacteria;c__iii1-8;o__DS-18;f__;g__;s__ +1118259 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Pseudomonadales;f__Pseudomonadaceae;g__Pseudomonas;s__ +1118355 k__Bacteria;p__Chloroflexi;c__TK17;o__;f__;g__;s__ +111868 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Oxalobacteraceae;g__;s__ +1118721 k__Bacteria;p__TM7;c__TM7-1;o__;f__;g__;s__ +1118758 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Xanthomonadaceae;g__;s__ +1118818 k__Bacteria;p__TM6;c__SJA-4;o__;f__;g__;s__ +1118913 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__;g__;s__ +1118948 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Chromatiales;f__;g__;s__ +1118978 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Burkholderiaceae;g__Burkholderia;s__ +1119015 k__Bacteria;p__Verrucomicrobia;c__[Spartobacteria];o__[Chthoniobacterales];f__[Chthoniobacteraceae];g__DA101;s__ +1119093 k__Bacteria;p__Chloroflexi;c__Thermomicrobia;o__JG30-KF-CM45;f__;g__;s__ +1119166 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__IS-44;f__;g__;s__ +1119224 k__Bacteria;p__Actinobacteria;c__Rubrobacteria;o__Rubrobacterales;f__Rubrobacteraceae;g__Rubrobacter;s__ +111925 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ +1119261 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Legionellales;f__Legionellaceae;g__;s__ +1119496 k__Bacteria;p__TM6;c__SJA-4;o__;f__;g__;s__ +1119537 k__Bacteria;p__TM6;c__SJA-4;o__S1198;f__;g__;s__ +1119668 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Devosia;s__ +111978 k__Bacteria;p__TM7;c__TM7-1;o__;f__;g__;s__ +1119783 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Streptomycetaceae;g__Streptomyces;s__roseochromogenus +1119886 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Sphingobium;s__ +1120070 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__;s__ +1120116 k__Bacteria;p__Verrucomicrobia;c__[Pedosphaerae];o__[Pedosphaerales];f__auto67_4W;g__;s__ +1120276 k__Bacteria;p__Verrucomicrobia;c__[Methylacidiphilae];o__Methylacidiphilales;f__LD19;g__;s__ +1120320 k__Bacteria;p__Planctomycetes;c__Planctomycetia;o__Gemmatales;f__Gemmataceae;g__;s__ +112045 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Solirubrobacterales;f__Solirubrobacteraceae;g__;s__ +1120543 k__Bacteria;p__Actinobacteria;c__Acidimicrobiia;o__Acidimicrobiales;f__;g__;s__ +1120655 k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__;s__ +112066 k__Bacteria;p__Actinobacteria;c__Acidimicrobiia;o__Acidimicrobiales;f__;g__;s__ +112075 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Streptomycetaceae;g__Streptomyces;s__ +1120835 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Methylocystaceae;g__;s__ +1120920 k__Bacteria;p__TM6;c__SJA-4;o__;f__;g__;s__ +1121062 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__Haliangiaceae;g__;s__ +1121115 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__mb2424;g__;s__ +1121125 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Gaiellales;f__Gaiellaceae;g__;s__ +1121139 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Solirubrobacterales;f__Patulibacteraceae;g__;s__ +1121144 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Sinobacteraceae;g__;s__ +1121191 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__;g__;s__ +1121233 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__;g__;s__ +1121270 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Kaistobacter;s__ +1121391 k__Bacteria;p__Acidobacteria;c__iii1-8;o__DS-18;f__;g__;s__ +1121436 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__;s__ +1121483 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__;g__;s__ +1121491 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Cellulomonadaceae;g__Cellulomonas;s__ +1121555 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Syntrophobacterales;f__Syntrophobacteraceae;g__;s__ +1121611 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__Flavisolibacter;s__ +1121662 k__Bacteria;p__Bacteroidetes;c__Flavobacteriia;o__Flavobacteriales;f__;g__;s__ +112168 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Sinobacteraceae;g__;s__ +112169 k__Bacteria;p__Gemmatimonadetes;c__Gemmatimonadetes;o__Ellin5290;f__;g__;s__ +1121746 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Oxalobacteraceae;g__;s__ +1121794 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__mb2424;g__;s__ +1121806 k__Bacteria;p__Chloroflexi;c__Gitt-GS-136;o__;f__;g__;s__ +1121836 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__;s__ +1121841 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Oxalobacteraceae;g__;s__ +1121965 k__Bacteria;p__Nitrospirae;c__Nitrospira;o__Nitrospirales;f__Nitrospiraceae;g__;s__ +1121968 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__;g__;s__ +1122031 k__Bacteria;p__Bacteroidetes;c__Sphingobacteriia;o__Sphingobacteriales;f__Sphingobacteriaceae;g__Mucilaginibacter;s__kameinonensis +112208 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Burkholderiaceae;g__Burkholderia;s__ +1122144 k__Bacteria;p__GN02;c__GKS2-174;o__;f__;g__;s__ +1122202 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__;g__;s__ +112244 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Micromonosporaceae;g__;s__ +1122451 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__RB40;g__;s__ +1122474 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Streptomycetaceae;g__Streptacidiphilus;s__ +1122517 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Sinobacteraceae;g__;s__ +1122633 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Gaiellales;f__Gaiellaceae;g__;s__ +112266 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Microbacteriaceae;g__Cryocola;s__ +1122667 k__Bacteria;p__Armatimonadetes;c__0319-6E2;o__;f__;g__;s__ +1122710 k__Bacteria;p__Actinobacteria;c__Acidimicrobiia;o__Acidimicrobiales;f__;g__;s__ +1122854 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Acetobacteraceae;g__;s__ +1122863 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Devosia;s__ +1122998 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +112301 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Actinospicaceae;g__;s__ +1123028 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Sphingomonas;s__ +1123057 k__Bacteria;p__Actinobacteria;c__Acidimicrobiia;o__Acidimicrobiales;f__EB1017;g__;s__ +1123112 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ +1123130 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__;g__;s__ +112323 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Frankiaceae;g__;s__ +1123234 k__Bacteria;p__Gemmatimonadetes;c__Gemmatimonadetes;o__C114;f__;g__;s__ +1123249 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__SC-I-84;f__;g__;s__ +1123337 k__Bacteria;p__Chloroflexi;c__Thermomicrobia;o__AKYG1722;f__;g__;s__ +1123369 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Devosia;s__ +1123395 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Promicromonosporaceae;g__Cellulosimicrobium;s__ +1123442 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Rhodobiaceae;g__Afifella;s__ +1123510 k__Bacteria;p__TM6;c__SJA-4;o__;f__;g__;s__ +1123519 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__;s__ +1123601 k__Bacteria;p__Chloroflexi;c__Anaerolineae;o__A31;f__;g__;s__ +1123617 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Kaistobacter;s__ +1123693 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__HOC36;f__;g__;s__ +1123749 k__Bacteria;p__WPS-2;c__;o__;f__;g__;s__ +1123762 k__Bacteria;p__Bacteroidetes;c__Sphingobacteriia;o__Sphingobacteriales;f__;g__;s__ +1123773 k__Bacteria;p__TM7;c__TM7-1;o__;f__;g__;s__ +1123821 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__;s__ +1123837 k__Bacteria;p__Actinobacteria;c__Rubrobacteria;o__Rubrobacterales;f__Rubrobacteraceae;g__Rubrobacter;s__ +1123840 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Burkholderiaceae;g__Salinispora;s__ +1123901 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ +1123984 k__Bacteria;p__Acidobacteria;c__DA052;o__Ellin6513;f__;g__;s__ +1124020 k__Bacteria;p__Chloroflexi;c__Ktedonobacteria;o__Ktedonobacterales;f__Ktedonobacteraceae;g__;s__ +1124030 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +1124131 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ +1124200 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__;g__;s__ +1124241 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__HOC36;f__;g__;s__ +1124499 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Burkholderiaceae;g__Burkholderia;s__ +1124701 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +1124784 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Streptomycetaceae;g__Streptomyces;s__axinellae +1124902 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__;g__;s__ +1124935 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Alteromonadales;f__Alteromonadaceae;g__Cellvibrio;s__ +1124941 k__Bacteria;p__Verrucomicrobia;c__[Spartobacteria];o__[Chthoniobacterales];f__[Chthoniobacteraceae];g__;s__ +1125006 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Nocardioidaceae;g__Nocardioides;s__furvisabuli +1125049 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ +1125081 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__;s__ +1125242 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Oxalobacteraceae;g__Janthinobacterium;s__ +1125248 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Xanthomonadaceae;g__Dokdonella;s__ +1125402 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Thermomonosporaceae;g__Actinomadura;s__alba +1125422 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Syntrophobacterales;f__Syntrophobacteraceae;g__;s__ +1125423 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Acidobacteriaceae;g__;s__ +1125483 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ +1125638 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Sinobacteraceae;g__;s__ +1125648 k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__Adhaeribacter;s__ +1125708 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__Ellin6075;g__;s__ +1125837 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ +1125844 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Beijerinckiaceae;g__Methylovirgula;s__ligni +1125946 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Neisseriales;f__Neisseriaceae;g__Aquaspirillum;s__putridiconchylium +1126015 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +1126064 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__Candidatus Koribacter;s__versatilis +1126149 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__;s__ +1126182 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Nocardioidaceae;g__Nocardioides;s__dilutus +1126190 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +1126195 k__Bacteria;p__Actinobacteria;c__Acidimicrobiia;o__Acidimicrobiales;f__;g__;s__ +1126197 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ +1126235 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__;f__;g__;s__ +1126244 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__MND1;f__;g__;s__ +1126251 k__Bacteria;p__Actinobacteria;c__Acidimicrobiia;o__Acidimicrobiales;f__;g__;s__ +1126288 k__Bacteria;p__WPS-2;c__;o__;f__;g__;s__ +1126297 k__Bacteria;p__Bacteroidetes;c__Sphingobacteriia;o__Sphingobacteriales;f__Sphingobacteriaceae;g__Pedobacter;s__ +1126378 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__Flavisolibacter;s__ +1126411 k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__;s__ +1126427 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Caulobacterales;f__Caulobacteraceae;g__;s__ +1126447 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +1126613 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Saprospiraceae;g__;s__ +1126651 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Kaistobacter;s__ +1126662 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Oxalobacteraceae;g__;s__ +1126708 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__;s__ +1126808 k__Bacteria;p__Nitrospirae;c__Nitrospira;o__Nitrospirales;f__Nitrospiraceae;g__Nitrospira;s__ +1126862 k__Bacteria;p__Acidobacteria;c__iii1-8;o__DS-18;f__;g__;s__ +1126881 k__Bacteria;p__Acidobacteria;c__iii1-8;o__DS-18;f__;g__;s__ +1127161 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ +1127227 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__ +1127233 k__Bacteria;p__Gemmatimonadetes;c__Gemm-1;o__;f__;g__;s__ +1127423 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__;s__ +1127464 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__;s__ +1127504 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +1127527 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +1127530 k__Bacteria;p__Firmicutes;c__Clostridia;o__Clostridiales;f__Clostridiaceae;g__Clostridium;s__ +1127576 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__;s__ +112763 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__;s__ +1127642 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__;s__ +112765 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Desulfuromonadales;f__Geobacteraceae;g__Geobacter;s__ +1127675 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Geodermatophilaceae;g__;s__ +1127819 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Pseudonocardiaceae;g__Pseudonocardia;s__ +1127926 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Ellin6067;f__;g__;s__ +112795 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__;s__ +112801 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__mb2424;g__;s__ +1128021 k__Bacteria;p__Acidobacteria;c__iii1-8;o__DS-18;f__;g__;s__ +1128025 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__;s__ +1128038 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Micromonosporaceae;g__Virgisporangium;s__ochraceum +112804 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Acidobacteriaceae;g__;s__ +1128107 k__Bacteria;p__WS3;c__PRR-12;o__Sediment-1;f__;g__;s__ +1128120 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Streptomycetaceae;g__Streptomyces;s__ +1128135 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Neisseriales;f__Neisseriaceae;g__;s__ +1128198 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Acetobacteraceae;g__Acetobacter;s__ +112828 k__Bacteria;p__Acidobacteria;c__DA052;o__Ellin6513;f__;g__;s__ +112834 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ +1128359 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Planococcaceae;g__Lysinibacillus;s__massiliensis +112836 k__Bacteria;p__Chloroflexi;c__TK10;o__AKYG885;f__Dolo_23;g__;s__ +1128503 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Rhodobiaceae;g__Afifella;s__ +1128545 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__;g__;s__ +1128592 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Micromonosporaceae;g__Actinoplanes;s__durhamensis +112867 k__Bacteria;p__Chloroflexi;c__Ellin6529;o__;f__;g__;s__ +112876 k__Bacteria;p__Gemmatimonadetes;c__Gemmatimonadetes;o__;f__;g__;s__ +1128775 k__Bacteria;p__Gemmatimonadetes;c__Gemm-1;o__;f__;g__;s__ +1128776 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__;g__;s__ +1128979 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Syntrophobacterales;f__Syntrophobacteraceae;g__;s__ +1129058 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__;s__ +1129059 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Streptomycetaceae;g__Streptomyces;s__ +1129210 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__;s__ +1129297 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__Myxococcaceae;g__Myxococcus;s__ +1129363 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__Ellin6075;g__;s__ +1129425 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Solirubrobacterales;f__Solirubrobacteraceae;g__Solirubrobacter;s__ +1129515 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__Chitinophaga;s__arvensicola +112952 k__Bacteria;p__Chloroflexi;c__Ellin6529;o__;f__;g__;s__ +1129586 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Solirubrobacterales;f__Solirubrobacteraceae;g__;s__ +112959 k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__;s__ +112964 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Acidobacteriaceae;g__;s__ +1129683 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__Segetibacter;s__ +1129787 k__Bacteria;p__Planctomycetes;c__Phycisphaerae;o__WD2101;f__;g__;s__ +112986 k__Bacteria;p__Gemmatimonadetes;c__Gemmatimonadetes;o__Ellin5290;f__;g__;s__ +1129891 k__Bacteria;p__Acidobacteria;c__Sva0725;o__Sva0725;f__;g__;s__ +112992 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ +1129993 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Rhodobiaceae;g__Afifella;s__ +1130026 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__[Entotheonellales];f__[Entotheonellaceae];g__;s__ +1130053 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Legionellales;f__Legionellaceae;g__Legionella;s__ +1130140 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Acidobacteriaceae;g__;s__ +1130189 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__;s__ +1130197 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +1130318 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Streptosporangiaceae;g__Streptosporangium;s__ +1130406 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Saprospiraceae;g__;s__ +113044 k__Bacteria;p__Chloroflexi;c__Anaerolineae;o__Caldilineales;f__Caldilineaceae;g__;s__ +1130478 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Acidobacteriaceae;g__;s__ +113054 k__Bacteria;p__Chloroflexi;c__Ellin6529;o__;f__;g__;s__ +1130640 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Intrasporangiaceae;g__Terracoccus;s__ +1130641 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Pseudonocardiaceae;g__Amycolatopsis;s__ +113066 k__Bacteria;p__Acidobacteria;c__DA052;o__Ellin6513;f__;g__;s__ +1130705 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__MIZ46;f__;g__;s__ +1130775 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__;s__ +1130851 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Micromonosporaceae;g__;s__ +1130896 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__;s__ +1130906 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Kaistobacter;s__ +113092 k__Bacteria;p__Acidobacteria;c__Sva0725;o__Sva0725;f__;g__;s__ +1130952 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Acidobacteriaceae;g__Edaphobacter;s__modestum +1131002 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Rhodobiaceae;g__Afifella;s__ +1131017 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ +1131157 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Sphingomonas;s__ +113118 k__Bacteria;p__Acidobacteria;c__DA052;o__Ellin6513;f__;g__;s__ +1131220 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Mycobacteriaceae;g__Mycobacterium;s__celatum +1131272 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Bdellovibrionales;f__Bdellovibrionaceae;g__Bdellovibrio;s__ +1131309 k__Bacteria;p__Chloroflexi;c__Thermomicrobia;o__AKYG1722;f__;g__;s__ +1131423 k__Bacteria;p__Cyanobacteria;c__Nostocophycideae;o__Nostocales;f__Nostocaceae;g__Nostoc;s__punctiforme +1131443 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +1131467 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +1131533 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Xanthomonadaceae;g__;s__ +1131545 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__;g__;s__ +1131591 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ +1131645 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Oxalobacteraceae;g__Cupriavidus;s__ +113170 k__Bacteria;p__Chloroflexi;c__TK10;o__B07_WMSP1;f__;g__;s__ +1131767 k__Bacteria;p__Verrucomicrobia;c__Verrucomicrobiae;o__Verrucomicrobiales;f__Verrucomicrobiaceae;g__Luteolibacter;s__ +1131787 k__Bacteria;p__Fibrobacteres;c__Fibrobacteria;o__258ds10;f__;g__;s__ +1131789 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__Hydrogenophaga;s__ +1131858 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Nocardioidaceae;g__;s__ +1131890 k__Bacteria;p__Gemmatimonadetes;c__Gemm-3;o__;f__;g__;s__ +1131894 k__Bacteria;p__Cyanobacteria;c__Chloroplast;o__Streptophyta;f__;g__;s__ +113191 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +1131914 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Sinobacteraceae;g__Steroidobacter;s__ +1131937 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ +1132062 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__Ellin7246;f__;g__;s__ +1132079 k__Bacteria;p__Chloroflexi;c__Anaerolineae;o__S0208;f__;g__;s__ +113209 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +1132104 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Legionellales;f__Coxiellaceae;g__Aquicella;s__ +113212 k__Bacteria;p__Acidobacteria;c__DA052;o__Ellin6513;f__;g__;s__ +113213 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Beijerinckiaceae;g__;s__ +1132131 k__Bacteria;p__Acidobacteria;c__Sva0725;o__Sva0725;f__;g__;s__ +1132137 k__Bacteria;p__Gemmatimonadetes;c__Gemmatimonadetes;o__Gemmatimonadales;f__;g__;s__ +1132140 k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__Rhodocytophaga;s__ +1132232 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Micromonosporaceae;g__Catenuloplanes;s__atrovinosus +113224 k__Bacteria;p__Gemmatimonadetes;c__Gemm-1;o__;f__;g__;s__ +113232 k__Bacteria;p__Chloroflexi;c__Ellin6529;o__;f__;g__;s__ +113237 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Caulobacterales;f__Caulobacteraceae;g__;s__ +1132602 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Xanthomonadaceae;g__;s__ +1132620 k__Bacteria;p__Actinobacteria;c__Acidimicrobiia;o__Acidimicrobiales;f__;g__;s__ +1132655 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__Ellin6075;g__;s__ +1132680 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__;s__ +113271 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +1132745 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Gaiellales;f__Gaiellaceae;g__;s__ +1132813 k__Bacteria;p__;c__;o__;f__;g__;s__ +1132826 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__;g__;s__ +1132957 k__Bacteria;p__WPS-2;c__;o__;f__;g__;s__ +1132969 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ +113298 k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__;s__ +1133067 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Ellin6067;f__;g__;s__ +113328 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__;f__;g__;s__ +113331 k__Bacteria;p__Acidobacteria;c__DA052;o__Ellin6513;f__;g__;s__ +1133377 k__Bacteria;p__Planctomycetes;c__Phycisphaerae;o__WD2101;f__;g__;s__ +1133399 k__Bacteria;p__[Thermi];c__Deinococci;o__Deinococcales;f__Deinococcaceae;g__Deinococcus;s__ +1133433 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__MND1;f__;g__;s__ +113347 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__Ellin6075;g__;s__ +1133478 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Micromonosporaceae;g__Actinoplanes;s__ +1133558 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Micromonosporaceae;g__Actinoplanes;s__ +1133624 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Acidobacteriaceae;g__;s__ +113365 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__Haliangiaceae;g__;s__ +1133738 k__Bacteria;p__WPS-2;c__;o__;f__;g__;s__ +113378 k__Bacteria;p__Verrucomicrobia;c__Verrucomicrobiae;o__Verrucomicrobiales;f__Verrucomicrobiaceae;g__Prosthecobacter;s__ +1133821 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Syntrophobacterales;f__Syntrophobacteraceae;g__;s__ +1133976 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Kaistobacter;s__ +113400 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__Ellin6075;g__;s__ +113404 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +1134111 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__;g__;s__ +1134211 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Alteromonadales;f__Alteromonadaceae;g__Cellvibrio;s__ +1134217 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__;g__;s__ +1134389 k__Bacteria;p__Bacteroidetes;c__Flavobacteriia;o__Flavobacteriales;f__Flavobacteriaceae;g__Flavobacterium;s__succinicans +1134398 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__;g__;s__ +1134462 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Streptomycetaceae;g__Streptomyces;s__reticuliscabiei +1134504 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Nocardioidaceae;g__;s__ +1134516 k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__Hymenobacter;s__ +1134530 k__Bacteria;p__OP11;c__OP11-4;o__;f__;g__;s__ +1134664 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__Methylibium;s__ +1134668 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__;s__ +1134682 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__CCU21;f__;g__;s__ +1134692 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__Rubrivivax;s__ +1134737 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Neisseriales;f__Neisseriaceae;g__Deefgea;s__ +113477 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Rhizobiaceae;g__;s__ +1134782 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +1134817 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__;s__ +1134925 k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__;s__ +1135012 k__Bacteria;p__Gemmatimonadetes;c__Gemm-2;o__;f__;g__;s__ +1135026 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__;s__ +1135104 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__Ellin6075;g__;s__ +1135155 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__Ferruginibacter;s__lapsinanis +1135287 k__Bacteria;p__WPS-2;c__;o__;f__;g__;s__ +11353 k__Bacteria;p__Actinobacteria;c__Rubrobacteria;o__Rubrobacterales;f__Rubrobacteraceae;g__Rubrobacter;s__ +113532 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +1135345 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__;g__;s__ +1135379 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__muralis +1135388 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Gaiellales;f__Gaiellaceae;g__;s__ +1135458 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Sphingobium;s__ +1135504 k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__;s__ +1135547 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__;f__;g__;s__ +1135669 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__Haliangiaceae;g__;s__ +1135706 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Nocardioidaceae;g__;s__ +113576 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__;s__ +1135768 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__Methylibium;s__ +1135780 k__Bacteria;p__Chloroflexi;c__Anaerolineae;o__Caldilineales;f__Caldilineaceae;g__;s__ +1135798 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__;s__ +113586 k__Bacteria;p__Actinobacteria;c__Acidimicrobiia;o__Acidimicrobiales;f__;g__;s__ +113588 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ +1135893 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Gaiellales;f__Gaiellaceae;g__;s__ +1135906 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__;s__ +1135983 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Acidobacteriaceae;g__;s__ +1136007 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__;g__;s__ +1136083 k__Bacteria;p__Planctomycetes;c__Phycisphaerae;o__WD2101;f__;g__;s__ +1136089 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Methylobacteriaceae;g__;s__ +113609 k__Bacteria;p__Chloroflexi;c__Anaerolineae;o__envOPS12;f__;g__;s__ +1136141 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Acetobacteraceae;g__Acidisoma;s__ +1136154 k__Bacteria;p__Acidobacteria;c__Acidobacteria-5;o__;f__;g__;s__ +1136234 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Xanthomonadaceae;g__Rhodanobacter;s__lindaniclasticus +1136276 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Pseudomonadales;f__Pseudomonadaceae;g__Pseudomonas;s__ +1136287 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Rhodocyclales;f__Rhodocyclaceae;g__K82;s__ +1136344 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Phyllobacteriaceae;g__;s__ +1136403 k__Bacteria;p__Firmicutes;c__Clostridia;o__Clostridiales;f__Clostridiaceae;g__Clostridium;s__ +1136510 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__;s__ +1136536 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__Ellin6075;g__;s__ +1136581 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +1136589 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__;s__ +1136701 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__Skermanella;s__ +1136721 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ +1136733 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +113674 k__Bacteria;p__Bacteroidetes;c__Sphingobacteriia;o__Sphingobacteriales;f__;g__;s__ +1136766 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Streptomycetaceae;g__Streptomyces;s__rubrolavendulae +1136863 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__;f__;g__;s__ +1136913 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Sinobacteraceae;g__Steroidobacter;s__ +1136972 k__Bacteria;p__Firmicutes;c__Clostridia;o__Clostridiales;f__Clostridiaceae;g__Clostridium;s__bowmanii +1136974 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Novosphingobium;s__ +113710 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__;s__ +113711 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Pseudonocardiaceae;g__;s__ +1137124 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__;g__;s__ +1137140 k__Bacteria;p__Elusimicrobia;c__Elusimicrobia;o__IIb;f__;g__;s__ +113715 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__Ellin6075;g__;s__ +1137157 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Bradyrhizobiaceae;g__Balneimonas;s__ +113717 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +1137219 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__[Entotheonellales];f__[Entotheonellaceae];g__Candidatus Entotheonella;s__ +1137229 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Gallionellales;f__Gallionellaceae;g__;s__ +1137237 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Devosia;s__ +1137245 k__Bacteria;p__Chloroflexi;c__S085;o__;f__;g__;s__ +1137286 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Geodermatophilaceae;g__;s__ +1137462 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Burkholderiaceae;g__;s__ +1137534 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Xanthomonadaceae;g__Aspromonas;s__composti +1137578 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__;g__;s__ +113760 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Nocardioidaceae;g__;s__ +113767 k__Bacteria;p__TM7;c__SC3;o__;f__;g__;s__ +113772 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Desulfuromonadales;f__Geobacteraceae;g__Geobacter;s__ +1137749 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Micromonosporaceae;g__;s__ +1137769 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__;s__ +1137803 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__;s__ +113782 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__RB40;g__;s__ +1138080 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__Methylibium;s__ +1138326 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Intrasporangiaceae;g__Phycicoccus;s__ +1138430 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Oxalobacteraceae;g__;s__ +1138433 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Acidobacteriaceae;g__;s__ +1138439 k__Bacteria;p__Chloroflexi;c__Anaerolineae;o__Caldilineales;f__Caldilineaceae;g__;s__ +1138447 k__Bacteria;p__Gemmatimonadetes;c__Gemm-1;o__;f__;g__;s__ +1138584 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Phyllobacteriaceae;g__Mesorhizobium;s__ +113866 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +1138710 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__;s__ +1138731 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Solirubrobacterales;f__;g__;s__ +1138744 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Pseudonocardiaceae;g__Pseudonocardia;s__ +1138772 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__;s__ +1138810 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Xanthomonadaceae;g__Lysobacter;s__ +1138919 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Sphingomonas;s__wittichii +1138930 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__Skermanella;s__ +1138934 k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__Adhaeribacter;s__ +1138936 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__Polyangiaceae;g__Byssovorax;s__cruenta +1138960 k__Bacteria;p__Verrucomicrobia;c__[Pedosphaerae];o__[Pedosphaerales];f__;g__;s__ +1139045 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +1139057 k__Bacteria;p__Chloroflexi;c__Chloroflexi;o__AKIW781;f__;g__;s__ +113915 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Xanthomonadaceae;g__Arenimonas;s__ +1139156 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__;s__ +1139209 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Acidobacteriaceae;g__;s__ +113934 k__Bacteria;p__Lentisphaerae;c__;o__;f__;g__;s__ +113939 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +1139424 k__Bacteria;p__Acidobacteria;c__EC1113;o__;f__;g__;s__ +1139469 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__;s__ +1139480 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__;g__;s__ +113950 k__Bacteria;p__Acidobacteria;c__iii1-8;o__DS-18;f__;g__;s__ +1139524 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__;s__ +1139589 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Rhodobiaceae;g__Afifella;s__ +113959 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__;s__ +1139598 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Sphingomonas;s__wittichii +1139646 k__Bacteria;p__Bacteroidetes;c__Flavobacteriia;o__Flavobacteriales;f__Flavobacteriaceae;g__Flavobacterium;s__ +1139658 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Rhodobiaceae;g__Afifella;s__ +1139779 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Bradyrhizobiaceae;g__Balneimonas;s__ +1139946 k__Bacteria;p__Bacteroidetes;c__Flavobacteriia;o__Flavobacteriales;f__Flavobacteriaceae;g__Flavobacterium;s__ +11400 k__Bacteria;p__Actinobacteria;c__Acidimicrobiia;o__Acidimicrobiales;f__;g__;s__ +1140056 k__Bacteria;p__Verrucomicrobia;c__Opitutae;o__Opitutales;f__Opitutaceae;g__Opitutus;s__ +114006 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__;s__ +1140073 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__;s__ +1140085 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__;f__;g__;s__ +1140163 k__Bacteria;p__Actinobacteria;c__Acidimicrobiia;o__Acidimicrobiales;f__C111;g__;s__ +1140165 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ +1140168 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Nocardioidaceae;g__Nocardioides;s__ +1140229 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__;s__ +1140286 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__Xenophilus;s__aerolatus +1140351 k__Bacteria;p__WPS-2;c__;o__;f__;g__;s__ +1140357 k__Bacteria;p__Actinobacteria;c__Acidimicrobiia;o__Acidimicrobiales;f__;g__;s__ +1140359 k__Bacteria;p__Actinobacteria;c__Acidimicrobiia;o__Acidimicrobiales;f__;g__;s__ +114037 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__;s__ +1140475 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__;s__ +1140514 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__;g__;s__ +114055 k__Bacteria;p__Gemmatimonadetes;c__Gemm-1;o__;f__;g__;s__ +1140634 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__;s__ +1140645 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Solirubrobacterales;f__;g__;s__ +1140682 k__Bacteria;p__WPS-2;c__;o__;f__;g__;s__ +1140683 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ +114076 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +1140775 k__Bacteria;p__Actinobacteria;c__Acidimicrobiia;o__Acidimicrobiales;f__;g__;s__ +1140807 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Erythrobacteraceae;g__;s__ +1140833 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__flexus +1140843 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Oxalobacteraceae;g__Collimonas;s__ +114096 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ +1140993 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ +1141012 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__;s__ +114102 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__Methylibium;s__ +1141126 k__Bacteria;p__[Thermi];c__Deinococci;o__Deinococcales;f__Trueperaceae;g__;s__ +1141156 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ +1141175 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +114130 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__;s__ +1141316 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__;g__;s__ +1141332 k__Bacteria;p__Cyanobacteria;c__4C0d-2;o__SM1D11;f__;g__;s__ +114136 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Solirubrobacterales;f__Conexibacteraceae;g__;s__ +1141480 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__;s__ +1141509 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Actinosynnemataceae;g__Saccharothrix;s__ +1141582 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Rhodobiaceae;g__Afifella;s__ +114163 k__Bacteria;p__Acidobacteria;c__DA052;o__Ellin6513;f__;g__;s__ +1141687 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Acidobacteriaceae;g__;s__ +114170 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__;g__;s__ +1141710 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__;g__;s__ +114176 k__Bacteria;p__Chloroflexi;c__Chloroflexi;o__Chloroflexales;f__Oscillochloridaceae;g__Oscillochloris;s__ +1141809 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Pseudonocardiaceae;g__;s__ +1141842 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Rhodobiaceae;g__Afifella;s__ +1141864 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +1141923 k__Bacteria;p__Nitrospirae;c__Nitrospira;o__Nitrospirales;f__0319-6A21;g__;s__ +114201 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__;s__ +114209 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Ellin6067;f__;g__;s__ +1142103 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__;s__ +1142107 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Micromonosporaceae;g__;s__ +1142263 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Nocardioidaceae;g__;s__ +1142318 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Acidobacteriaceae;g__;s__ +1142378 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Streptomycetaceae;g__Streptomyces;s__ +1142404 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Solirubrobacterales;f__;g__;s__ +114244 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__;s__ +1142462 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +1142584 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__;s__ +1142585 k__Bacteria;p__WPS-2;c__;o__;f__;g__;s__ +1142590 k__Bacteria;p__Nitrospirae;c__Nitrospira;o__Nitrospirales;f__Nitrospiraceae;g__Nitrospira;s__ +11426 k__Bacteria;p__Actinobacteria;c__Acidimicrobiia;o__Acidimicrobiales;f__;g__;s__ +1142712 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Kaistobacter;s__ +1142733 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__Candidatus Koribacter;s__ +1142871 k__Bacteria;p__Actinobacteria;c__MB-A2-108;o__0319-7L14;f__;g__;s__ +1142898 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Methylocystaceae;g__;s__ +114292 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Kaistobacter;s__ +1142950 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Saprospiraceae;g__;s__ +1142972 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__;g__;s__ +1143000 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ +1143016 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Syntrophobacterales;f__Syntrophobacteraceae;g__;s__ +114313 k__Bacteria;p__Verrucomicrobia;c__Opitutae;o__Opitutales;f__Opitutaceae;g__Opitutus;s__ +114322 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +1143236 k__Bacteria;p__Actinobacteria;c__Acidimicrobiia;o__Acidimicrobiales;f__;g__;s__ +1143242 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__;g__;s__ +1143359 k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__Adhaeribacter;s__ +1143368 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Acetobacteraceae;g__Belnapia;s__moabensis +114341 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__Haliangiaceae;g__;s__ +114356 k__Bacteria;p__Acidobacteria;c__DA052;o__Ellin6513;f__;g__;s__ +1143726 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Nocardioidaceae;g__Aeromicrobium;s__ +114373 k__Bacteria;p__Acidobacteria;c__DA052;o__Ellin6513;f__;g__;s__ +1143745 k__Bacteria;p__Nitrospirae;c__Nitrospira;o__Nitrospirales;f__0319-6A21;g__;s__ +114382 k__Bacteria;p__Elusimicrobia;c__Elusimicrobia;o__IIb;f__;g__;s__ +1143844 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__;g__;s__ +1143858 k__Bacteria;p__Cyanobacteria;c__4C0d-2;o__MLE1-12;f__;g__;s__ +1143895 k__Bacteria;p__Chloroflexi;c__Anaerolineae;o__Ardenscatenales;f__Ardenscatenaceae;g__Ardenscatena;s__ +11439 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Geodermatophilaceae;g__Geodermatophilus;s__obscurus +1143937 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__;g__;s__ +114396 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ +1144000 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ +1144018 k__Bacteria;p__Planctomycetes;c__Phycisphaerae;o__WD2101;f__;g__;s__ +1144079 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__;s__ +114410 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Alcaligenaceae;g__;s__ +1144223 k__Bacteria;p__Cyanobacteria;c__Nostocophycideae;o__Nostocales;f__Nostocaceae;g__Tolypothrix;s__distorta +1144253 k__Bacteria;p__WPS-2;c__;o__;f__;g__;s__ +1144259 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Microbacteriaceae;g__Cryocola;s__ +1144365 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Sinobacteraceae;g__;s__ +1144378 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Sphingomonas;s__ +1144512 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +1144585 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Microbacteriaceae;g__Salinibacterium;s__ +1144682 k__Bacteria;p__Bacteroidetes;c__Sphingobacteriia;o__Sphingobacteriales;f__;g__;s__ +1144715 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Streptomycetaceae;g__Streptomyces;s__ +1144742 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__;s__ +1144840 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ +1144878 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__mb2424;g__;s__ +11449 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Sporichthyaceae;g__Sporichthya;s__ +1145091 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Phyllobacteriaceae;g__;s__ +114510 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Enterobacteriales;f__Enterobacteriaceae;g__Escherichia;s__coli +1145135 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__;g__;s__ +1145153 k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__Hymenobacter;s__ +1145162 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__;s__ +1145186 k__Bacteria;p__Armatimonadetes;c__Armatimonadia;o__Armatimonadales;f__Armatimonadaceae;g__;s__ +1145234 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Acidobacteriaceae;g__;s__ +1145250 k__Bacteria;p__Firmicutes;c__Clostridia;o__Clostridiales;f__Clostridiaceae;g__;s__ +1145331 k__Bacteria;p__Gemmatimonadetes;c__Gemm-3;o__;f__;g__;s__ +1145338 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__11-24;f__;g__;s__ +1145370 k__Bacteria;p__Armatimonadetes;c__Chthonomonadetes;o__SJA-22;f__;g__;s__ +1145373 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__;g__;s__ +1145384 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Intrasporangiaceae;g__Oryzihumus;s__leptocrescens +1145388 k__Bacteria;p__Chloroflexi;c__Gitt-GS-136;o__;f__;g__;s__ +1145461 k__Bacteria;p__WPS-2;c__;o__;f__;g__;s__ +1145509 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__;g__;s__ +1145639 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__;s__ +1145649 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__Ellin6075;g__;s__ +1145690 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ +1145745 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Acidobacteriaceae;g__;s__ +1145908 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ +1145946 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Xanthomonadaceae;g__Luteimonas;s__ +1145965 k__Bacteria;p__Chloroflexi;c__Anaerolineae;o__SBR1031;f__SJA-101;g__;s__ +1146003 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__;g__;s__ +1146107 k__Bacteria;p__Gemmatimonadetes;c__Gemmatimonadetes;o__N1423WL;f__;g__;s__ +114614 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +1146157 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +1146177 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__Haliangiaceae;g__;s__ +1146180 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +1146183 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Geodermatophilaceae;g__Geodermatophilus;s__ +1146288 k__Bacteria;p__Bacteroidetes;c__Flavobacteriia;o__Flavobacteriales;f__Flavobacteriaceae;g__Flavobacterium;s__ +1146308 k__Bacteria;p__Acidobacteria;c__iii1-8;o__DS-18;f__;g__;s__ +1146343 k__Bacteria;p__Chloroflexi;c__Anaerolineae;o__envOPS12;f__;g__;s__ +1146405 k__Bacteria;p__Actinobacteria;c__Acidimicrobiia;o__Acidimicrobiales;f__;g__;s__ +1146733 k__Bacteria;p__Verrucomicrobia;c__[Spartobacteria];o__[Chthoniobacterales];f__[Chthoniobacteraceae];g__DA101;s__ +1146778 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__Flavisolibacter;s__ +1146920 k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__Hymenobacter;s__ +1147143 k__Bacteria;p__Verrucomicrobia;c__[Pedosphaerae];o__[Pedosphaerales];f__Ellin515;g__;s__ +1147339 k__Bacteria;p__Gemmatimonadetes;c__Gemmatimonadetes;o__N1423WL;f__;g__;s__ +1147432 k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__;s__ +1147463 k__Bacteria;p__Verrucomicrobia;c__[Spartobacteria];o__[Chthoniobacterales];f__[Chthoniobacteraceae];g__DA101;s__ +1147608 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__;s__ +1147625 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__;g__;s__ +1147699 k__Bacteria;p__Acidobacteria;c__DA052;o__Ellin6513;f__;g__;s__ +1147762 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Streptomycetaceae;g__Streptomyces;s__ +1147925 k__Bacteria;p__Firmicutes;c__Clostridia;o__Clostridiales;f__Clostridiaceae;g__;s__ +1147938 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Bradyrhizobiaceae;g__;s__ +1147974 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__;s__ +1148051 k__Bacteria;p__Verrucomicrobia;c__Opitutae;o__Opitutales;f__Opitutaceae;g__Opitutus;s__ +1148064 k__Bacteria;p__Gemmatimonadetes;c__Gemmatimonadetes;o__;f__;g__;s__ +1148170 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__MND1;f__;g__;s__ +1148281 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Oxalobacteraceae;g__;s__ +1148343 k__Bacteria;p__Planctomycetes;c__Planctomycetia;o__Gemmatales;f__Gemmataceae;g__Gemmata;s__ +114975 k__Bacteria;p__Verrucomicrobia;c__[Pedosphaerae];o__[Pedosphaerales];f__Ellin517;g__;s__ +115150 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Bradyrhizobiaceae;g__;s__ +11816 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Streptomycetaceae;g__Kitasatospora;s__ +119939 k__Bacteria;p__Acidobacteria;c__S035;o__;f__;g__;s__ +119955 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ +12000 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Thermomonosporaceae;g__Actinocorallia;s__ +120422 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Rhizobiaceae;g__Agrobacterium;s__ +12074 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Streptosporangiaceae;g__Streptosporangium;s__ +122049 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Enterobacteriales;f__Enterobacteriaceae;g__;s__ +122683 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +12300 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Cellulomonadaceae;g__Cellulomonas;s__ +123077 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Gaiellales;f__Gaiellaceae;g__;s__ +123528 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Gaiellales;f__;g__;s__ +125157 k__Bacteria;p__Actinobacteria;c__Acidimicrobiia;o__Acidimicrobiales;f__C111;g__;s__ +125257 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Paenibacillaceae;g__;s__ +12666 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Kineosporiaceae;g__Kineococcus;s__ +127549 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Oxalobacteraceae;g__;s__ +128177 k__Bacteria;p__Chloroflexi;c__Ellin6529;o__;f__;g__;s__ +128192 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ +128220 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +128227 k__Bacteria;p__Firmicutes;c__Bacilli;o__Lactobacillales;f__Lactobacillaceae;g__Lactobacillus;s__ +128235 k__Bacteria;p__Gemmatimonadetes;c__Gemm-1;o__;f__;g__;s__ +128353 k__Bacteria;p__Bacteroidetes;c__Sphingobacteriia;o__Sphingobacteriales;f__Sphingobacteriaceae;g__;s__ +12836 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Micromonosporaceae;g__Couchioplanes;s__caeruleus +12898 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Micromonosporaceae;g__Dactylosporangium;s__ +129048 k__Bacteria;p__Cyanobacteria;c__Chloroplast;o__Streptophyta;f__;g__;s__ +129337 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__Telmatospirillum;s__siberiense +129342 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Streptomycetaceae;g__Streptomyces;s__ +129424 k__Bacteria;p__Gemmatimonadetes;c__Gemm-1;o__;f__;g__;s__ +129752 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__MBNT15;f__;g__;s__ +129798 k__Bacteria;p__Firmicutes;c__Bacilli;o__Lactobacillales;f__Lactobacillaceae;g__Lactobacillus;s__iners +130030 k__Bacteria;p__Firmicutes;c__Clostridia;o__Clostridiales;f__Clostridiaceae;g__Caloramator;s__ +130081 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Streptomycetaceae;g__;s__ +130382 k__Bacteria;p__Gemmatimonadetes;c__Gemm-1;o__;f__;g__;s__ +13074 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Mycobacteriaceae;g__Mycobacterium;s__ +130771 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Microbacteriaceae;g__;s__ +130922 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Nocardiaceae;g__Rhodococcus;s__ +131028 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Burkholderiaceae;g__Burkholderia;s__ +131115 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Pseudomonadales;f__Moraxellaceae;g__;s__ +131131 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Microbacteriaceae;g__;s__ +13120 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Mycobacteriaceae;g__Mycobacterium;s__ +131209 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Microbacteriaceae;g__;s__ +131337 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Sinobacteraceae;g__;s__ +131389 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__;s__ +131482 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Bradyrhizobiaceae;g__;s__ +131511 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Streptomycetaceae;g__;s__ +131775 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Micrococcaceae;g__;s__ +131787 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__;g__;s__ +131892 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Kaistobacter;s__ +132068 k__Bacteria;p__Gemmatimonadetes;c__Gemmatimonadetes;o__;f__;g__;s__ +132233 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodobacterales;f__Hyphomonadaceae;g__;s__ +13226 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Mycobacteriaceae;g__Mycobacterium;s__celatum +132483 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Microbacteriaceae;g__;s__ +132901 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__;g__;s__ +133044 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__;s__ +133105 k__Bacteria;p__Firmicutes;c__Clostridia;o__OPB54;f__;g__;s__ +133122 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Microbacteriaceae;g__;s__ +133328 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Micrococcaceae;g__;s__ +133533 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Pseudomonadales;f__Pseudomonadaceae;g__Pseudomonas;s__ +133568 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Oxalobacteraceae;g__;s__ +133592 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +133961 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Pseudomonadales;f__Pseudomonadaceae;g__Pseudomonas;s__ +134121 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Microbacteriaceae;g__;s__ +134163 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ +134201 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Oxalobacteraceae;g__Janthinobacterium;s__lividum +134257 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Micrococcaceae;g__;s__ +134479 k__Bacteria;p__Firmicutes;c__Clostridia;o__OPB54;f__;g__;s__ +13505 k__Bacteria;p__Actinobacteria;c__Acidimicrobiia;o__Acidimicrobiales;f__;g__;s__ +135652 k__Bacteria;p__Actinobacteria;c__Acidimicrobiia;o__Acidimicrobiales;f__;g__;s__ +135911 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Sphingomonas;s__ +135981 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Methylophilales;f__Methylophilaceae;g__;s__ +136009 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__;f__;g__;s__ +136025 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Oxalobacteraceae;g__Ralstonia;s__ +136114 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__;f__;g__;s__ +136135 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Ellin329;f__;g__;s__ +136201 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Acetobacteraceae;g__;s__ +136219 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Syntrophobacterales;f__Syntrophobacteraceae;g__;s__ +136264 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__;g__;s__ +136265 k__Bacteria;p__WS2;c__SHA-109;o__;f__;g__;s__ +136268 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__;s__ +136276 k__Bacteria;p__WPS-2;c__;o__;f__;g__;s__ +136286 k__Bacteria;p__Nitrospirae;c__Nitrospira;o__Nitrospirales;f__0319-6A21;g__;s__ +136297 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ +136311 k__Bacteria;p__Chloroflexi;c__SHA-26;o__;f__;g__;s__ +136312 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__Candidatus Koribacter;s__ +136351 k__Bacteria;p__Firmicutes;c__Clostridia;o__OPB54;f__;g__;s__ +136362 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Streptomycetaceae;g__Streptomyces;s__ +136399 k__Bacteria;p__Acidobacteria;c__DA052;o__Ellin6513;f__;g__;s__ +136417 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__;g__;s__ +136430 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__PK29;f__;g__;s__ +136502 k__Bacteria;p__Verrucomicrobia;c__[Spartobacteria];o__[Chthoniobacterales];f__[Chthoniobacteraceae];g__Candidatus Xiphinematobacter;s__ +136560 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Micrococcaceae;g__Arthrobacter;s__ +136569 k__Bacteria;p__Acidobacteria;c__iii1-8;o__DS-18;f__;g__;s__ +136597 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +136657 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__;g__;s__ +136818 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +136819 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__ +136835 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__ +136868 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +136883 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__;f__;g__;s__ +136896 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__;f__;g__;s__ +136959 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Syntrophobacterales;f__Syntrophobacteraceae;g__;s__ +136962 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__;f__;g__;s__ +137018 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rickettsiales;f__Rickettsiaceae;g__;s__ +137180 k__Bacteria;p__Armatimonadetes;c__Armatimonadia;o__FW68;f__;g__;s__ +137191 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Legionellales;f__Coxiellaceae;g__;s__ +13723 k__Bacteria;p__Gemmatimonadetes;c__Gemm-3;o__;f__;g__;s__ +137302 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__;s__ +137385 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Rhodocyclales;f__Rhodocyclaceae;g__Azoarcus;s__ +137399 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Oxalobacteraceae;g__;s__ +137420 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Burkholderiaceae;g__;s__ +137499 k__Bacteria;p__TM6;c__SJA-4;o__;f__;g__;s__ +137617 k__Bacteria;p__Actinobacteria;c__Rubrobacteria;o__Rubrobacterales;f__Rubrobacteraceae;g__Rubrobacter;s__ +137635 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__ +137766 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Micrococcaceae;g__;s__ +137810 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__ +137811 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__;g__;s__ +137818 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Gaiellales;f__Gaiellaceae;g__;s__ +137845 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__ +137869 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Paenibacillaceae;g__Paenibacillus;s__ +137881 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Kaistobacter;s__ +137916 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Beijerinckiaceae;g__;s__ +137950 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__ +137956 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Streptomycetaceae;g__Streptomyces;s__ +137961 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__;s__ +138062 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Micromonosporaceae;g__;s__ +138133 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__ +138144 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__;s__ +138145 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Planococcaceae;g__;s__ +138177 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Nocardioidaceae;g__Nocardioides;s__ +138424 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Beijerinckiaceae;g__;s__ +138702 k__Bacteria;p__Acidobacteria;c__Sva0725;o__Sva0725;f__;g__;s__ +138816 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +138920 k__Bacteria;p__Acidobacteria;c__Acidobacteria-5;o__;f__;g__;s__ +139075 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +139220 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Xanthomonadaceae;g__;s__ +139634 k__Bacteria;p__Acidobacteria;c__S035;o__;f__;g__;s__ +140229 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Microbacteriaceae;g__Agromyces;s__ +140382 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Rhodocyclales;f__Rhodocyclaceae;g__Methyloversatilis;s__ +141075 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__;s__ +141085 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Acetobacteraceae;g__;s__ +141219 k__Bacteria;p__Spirochaetes;c__Spirochaetes;o__Spirochaetales;f__Spirochaetaceae;g__Spirochaeta;s__aurantia +141239 k__Bacteria;p__Planctomycetes;c__Phycisphaerae;o__Phycisphaerales;f__;g__;s__ +141304 k__Bacteria;p__Bacteroidetes;c__Sphingobacteriia;o__Sphingobacteriales;f__Sphingobacteriaceae;g__;s__ +141312 k__Bacteria;p__Nitrospirae;c__Nitrospira;o__Nitrospirales;f__Nitrospiraceae;g__Nitrospira;s__ +141424 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Alcaligenaceae;g__Achromobacter;s__ +141531 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__;s__ +141698 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__Ellin6075;g__;s__ +141776 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__;g__;s__ +141786 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__Flavisolibacter;s__ +141976 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Xanthomonadaceae;g__Stenotrophomonas;s__ +142009 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__SC-I-84;f__;g__;s__ +142193 k__Bacteria;p__Chloroflexi;c__Anaerolineae;o__envOPS12;f__;g__;s__ +142233 k__Bacteria;p__Verrucomicrobia;c__Opitutae;o__Opitutales;f__Opitutaceae;g__Opitutus;s__ +142257 k__Bacteria;p__Bacteroidetes;c__Flavobacteriia;o__Flavobacteriales;f__Flavobacteriaceae;g__Flavobacterium;s__ +142268 k__Bacteria;p__OP11;c__;o__;f__;g__;s__ +142320 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Xanthomonadaceae;g__Lysobacter;s__ +142330 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +142384 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__A21b;f__UD5;g__;s__ +142389 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Kaistobacter;s__ +142411 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +142598 k__Bacteria;p__Nitrospirae;c__Nitrospira;o__Nitrospirales;f__Nitrospiraceae;g__JG37-AG-70;s__ +142646 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__;g__;s__ +142773 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__Polaromonas;s__ +142821 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +142834 k__Bacteria;p__Nitrospirae;c__Nitrospira;o__Nitrospirales;f__FW;g__4-29;s__ +143130 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Phyllobacteriaceae;g__Phyllobacterium;s__ +143135 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Gallionellales;f__Gallionellaceae;g__Gallionella;s__ +143187 k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__;s__ +143210 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__;s__ +143212 k__Bacteria;p__Chloroflexi;c__TK17;o__mle1-48;f__;g__;s__ +143392 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Kaistobacter;s__ +143557 k__Bacteria;p__Chloroflexi;c__Anaerolineae;o__pLW-97;f__;g__;s__ +143639 k__Bacteria;p__Bacteroidetes;c__Sphingobacteriia;o__Sphingobacteriales;f__Sphingobacteriaceae;g__;s__ +143692 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rickettsiales;f__;g__;s__ +143712 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Rhodocyclales;f__Rhodocyclaceae;g__;s__ +143769 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +143810 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Micrococcaceae;g__;s__ +143894 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Planococcaceae;g__Sporosarcina;s__ +14396 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Paenibacillaceae;g__Paenibacillus;s__ +14397 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__;s__ +144065 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Acetobacteraceae;g__;s__ +144069 k__Bacteria;p__Bacteroidetes;c__Sphingobacteriia;o__Sphingobacteriales;f__;g__;s__ +144089 k__Bacteria;p__Verrucomicrobia;c__Opitutae;o__Opitutales;f__Opitutaceae;g__;s__ +144165 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__Chitinophaga;s__ +144253 k__Bacteria;p__WS3;c__PRR-12;o__Sediment-1;f__;g__;s__ +144380 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Oxalobacteraceae;g__Janthinobacterium;s__ +144554 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__;g__;s__ +144633 k__Bacteria;p__Chloroflexi;c__Anaerolineae;o__H39;f__;g__;s__ +144723 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Streptomycetaceae;g__Streptomyces;s__ +144732 k__Bacteria;p__Bacteroidetes;c__Sphingobacteriia;o__Sphingobacteriales;f__Sphingobacteriaceae;g__Pedobacter;s__ +144752 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__;g__;s__ +144789 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +144821 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__SBla14;f__;g__;s__ +144888 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ +144922 k__Bacteria;p__Chloroflexi;c__Anaerolineae;o__SBR1031;f__A4b;g__;s__ +144956 k__Bacteria;p__Acidobacteria;c__iii1-8;o__DS-18;f__;g__;s__ +145000 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Xanthomonadaceae;g__;s__ +145578 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Micromonosporaceae;g__Catellatospora;s__ +145786 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__;s__ +145880 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Planococcaceae;g__Planococcus;s__maritimus +146122 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__;g__;s__ +146148 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Streptomycetaceae;g__Streptomyces;s__ +146193 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Xanthomonadaceae;g__Pseudoxanthomonas;s__indica +14632 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Planococcaceae;g__Sporosarcina;s__ +14637 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__ +146397 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Bradyrhizobiaceae;g__Bradyrhizobium;s__ +14642 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__ +14659 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__ +146676 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Bradyrhizobiaceae;g__Bradyrhizobium;s__ +14686 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__ +147025 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Phyllobacteriaceae;g__Phyllobacterium;s__ +147181 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Legionellales;f__Legionellaceae;g__Legionella;s__ +147685 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Oxalobacteraceae;g__;s__ +148273 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__Myxococcaceae;g__Anaeromyxobacter;s__ +148449 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__;f__;g__;s__ +148550 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__;s__ +148783 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Bradyrhizobiaceae;g__Bradyrhizobium;s__ +148890 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Bradyrhizobiaceae;g__Bradyrhizobium;s__ +149144 k__Bacteria;p__Spirochaetes;c__Spirochaetes;o__Spirochaetales;f__Spirochaetaceae;g__;s__ +14924 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__ +149750 k__Bacteria;p__Acidobacteria;c__TM1;o__;f__;g__;s__ +149819 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__;f__;g__;s__ +149938 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Sphingomonas;s__wittichii +150175 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Rhizobiaceae;g__;s__ +15018 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Planococcaceae;g__;s__ +150541 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Xanthomonadaceae;g__;s__ +150574 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Xanthomonadaceae;g__;s__ +150877 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ +150891 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Mycobacteriaceae;g__Mycobacterium;s__ +150977 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Acidobacteriaceae;g__Edaphobacter;s__ +150982 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Sinobacteraceae;g__;s__ +151008 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__Ellin6075;g__;s__ +151012 k__Bacteria;p__Actinobacteria;c__Rubrobacteria;o__Rubrobacterales;f__Rubrobacteraceae;g__Rubrobacter;s__ +151094 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ +151117 k__Bacteria;p__Bacteroidetes;c__Flavobacteriia;o__Flavobacteriales;f__Flavobacteriaceae;g__Flavobacterium;s__succinicans +151126 k__Bacteria;p__Cyanobacteria;c__4C0d-2;o__MLE1-12;f__;g__;s__ +151131 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +151163 k__Bacteria;p__Acidobacteria;c__DA052;o__Ellin6513;f__;g__;s__ +151172 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodobacterales;f__Rhodobacteraceae;g__Rubellimicrobium;s__ +151174 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__Flavisolibacter;s__ +151183 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ +1512588 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__;f__;g__;s__ +151283 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Acidobacteriaceae;g__;s__ +151320 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__ +151393 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__ +151596 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__;g__;s__ +151716 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Acidobacteriaceae;g__;s__ +151717 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__Candidatus Koribacter;s__ +151729 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__;s__ +151737 k__Bacteria;p__Bacteroidetes;c__Bacteroidia;o__Bacteroidales;f__;g__;s__ +151804 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Micrococcaceae;g__Arthrobacter;s__ +151897 k__Bacteria;p__AD3;c__ABS-6;o__;f__;g__;s__ +151914 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Caulobacterales;f__Caulobacteraceae;g__Phenylobacterium;s__ +151955 k__Bacteria;p__Acidobacteria;c__DA052;o__Ellin6513;f__;g__;s__ +151957 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__Candidatus Koribacter;s__ +152024 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__;g__;s__ +152124 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ +152126 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Actinosynnemataceae;g__;s__ +152130 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Solirubrobacterales;f__Patulibacteraceae;g__;s__ +152150 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__;g__;s__ +1521997 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ +1522003 k__Bacteria;p__Bacteroidetes;c__Sphingobacteriia;o__Sphingobacteriales;f__Sphingobacteriaceae;g__;s__ +152359 k__Bacteria;p__Planctomycetes;c__Phycisphaerae;o__WD2101;f__;g__;s__ +152361 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +152363 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ +152371 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__;s__ +152373 k__Bacteria;p__TM7;c__TM7-1;o__;f__;g__;s__ +1524403 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ +152462 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Bradyrhizobiaceae;g__Bradyrhizobium;s__ +152533 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__;s__ +152545 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__;g__;s__ +152580 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__;s__ +152581 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__;f__;g__;s__ +152795 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Methylocystaceae;g__;s__ +1528654 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__;s__ +1528658 k__Bacteria;p__Acidobacteria;c__TM1;o__;f__;g__;s__ +152872 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Caulobacterales;f__;g__;s__ +152949 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__Myxococcaceae;g__Anaeromyxobacter;s__ +152978 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Bradyrhizobiaceae;g__;s__ +1532107 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__mycoides +153239 k__Bacteria;p__Verrucomicrobia;c__[Pedosphaerae];o__[Pedosphaerales];f__;g__;s__ +153253 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Planococcaceae;g__;s__ +153350 k__Bacteria;p__Acidobacteria;c__DA052;o__Ellin6513;f__;g__;s__ +153442 k__Bacteria;p__Verrucomicrobia;c__Opitutae;o__Opitutales;f__Opitutaceae;g__Opitutus;s__ +153512 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Alcaligenaceae;g__;s__ +153535 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Micrococcaceae;g__;s__ +153608 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__;s__ +153622 k__Bacteria;p__Verrucomicrobia;c__[Spartobacteria];o__[Chthoniobacterales];f__[Chthoniobacteraceae];g__DA101;s__ +153667 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__Ramlibacter;s__ +153701 k__Bacteria;p__TM7;c__TM7-3;o__;f__;g__;s__ +153978 k__Bacteria;p__Cyanobacteria;c__Chloroplast;o__Streptophyta;f__;g__;s__ +153982 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Phyllobacteriaceae;g__Mesorhizobium;s__ +153998 k__Bacteria;p__Actinobacteria;c__Acidimicrobiia;o__Acidimicrobiales;f__;g__;s__ +154003 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Microbacteriaceae;g__Microbacterium;s__ +154102 k__Bacteria;p__Verrucomicrobia;c__[Spartobacteria];o__[Chthoniobacterales];f__[Chthoniobacteraceae];g__DA101;s__ +154140 k__Bacteria;p__OP3;c__koll11;o__GIF10;f__kpj58rc;g__;s__ +154141 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__;g__;s__ +154174 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Caulobacterales;f__Caulobacteraceae;g__Caulobacter;s__henricii +154234 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__;s__ +154249 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__;s__ +154265 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Acidobacteriaceae;g__;s__ +154268 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Acidobacteriaceae;g__;s__ +1542688 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__;g__;s__ +1542689 k__Bacteria;p__Chloroflexi;c__Anaerolineae;o__envOPS12;f__;g__;s__ +154320 k__Bacteria;p__Acidobacteria;c__DA052;o__Ellin6513;f__;g__;s__ +154483 k__Bacteria;p__Acidobacteria;c__DA052;o__Ellin6513;f__;g__;s__ +154494 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__;s__ +154519 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__;s__ +154567 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Geodermatophilaceae;g__Geodermatophilus;s__ +154591 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Pseudonocardiaceae;g__;s__ +154604 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Sinobacteraceae;g__;s__ +1546868 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__;g__;s__ +1546873 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Micromonosporaceae;g__Verrucosispora;s__ +1546874 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__PK29;f__;g__;s__ +1546879 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Micromonosporaceae;g__Dactylosporangium;s__ +154762 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Acidobacteriaceae;g__;s__ +154804 k__Bacteria;p__Actinobacteria;c__Acidimicrobiia;o__Acidimicrobiales;f__;g__;s__ +154876 k__Bacteria;p__Acidobacteria;c__DA052;o__Ellin6513;f__;g__;s__ +154899 k__Bacteria;p__Verrucomicrobia;c__[Spartobacteria];o__[Chthoniobacterales];f__[Chthoniobacteraceae];g__DA101;s__ +154988 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ +155216 k__Bacteria;p__Acidobacteria;c__DA052;o__Ellin6513;f__;g__;s__ +155297 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__;s__ +155349 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Nocardioidaceae;g__;s__ +155408 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__;s__ +155420 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Acidobacteriaceae;g__Edaphobacter;s__ +155426 k__Bacteria;p__Verrucomicrobia;c__[Spartobacteria];o__[Chthoniobacterales];f__[Chthoniobacteraceae];g__DA101;s__ +1554348 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +155487 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Actinosynnemataceae;g__Kibdelosporangium;s__ +155536 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Sinobacteraceae;g__;s__ +155766 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Acidobacteriaceae;g__;s__ +155925 k__Bacteria;p__TM6;c__SJA-4;o__;f__;g__;s__ +155936 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Paenibacillaceae;g__Ammoniphilus;s__ +155954 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +155989 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Sinobacteraceae;g__;s__ +156032 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__Candidatus Koribacter;s__ +156065 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__;g__;s__ +156227 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__;s__ +156377 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__Telmatospirillum;s__ +156401 k__Bacteria;p__Bacteroidetes;c__Sphingobacteriia;o__Sphingobacteriales;f__Sphingobacteriaceae;g__;s__ +156453 k__Bacteria;p__Acidobacteria;c__TM1;o__;f__;g__;s__ +156580 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Burkholderiaceae;g__Burkholderia;s__ +156605 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__;g__;s__ +156611 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Acidobacteriaceae;g__;s__ +156636 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Acidobacteriaceae;g__;s__ +156650 k__Bacteria;p__Acidobacteria;c__DA052;o__Ellin6513;f__;g__;s__ +156651 k__Bacteria;p__Elusimicrobia;c__Elusimicrobia;o__FAC88;f__;g__;s__ +156700 k__Bacteria;p__Acidobacteria;c__DA052;o__Ellin6513;f__;g__;s__ +156710 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__;s__ +156776 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +156816 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ +1568317 k__Bacteria;p__Verrucomicrobia;c__[Pedosphaerae];o__[Pedosphaerales];f__auto67_4W;g__;s__ +156849 k__Bacteria;p__Actinobacteria;c__Acidimicrobiia;o__Acidimicrobiales;f__;g__;s__ +156857 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__CCU21;f__;g__;s__ +156868 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__;s__ +156870 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__;g__;s__ +156882 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__Haliangiaceae;g__;s__ +156885 k__Bacteria;p__TM7;c__TM7-1;o__;f__;g__;s__ +156886 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Ellin329;f__;g__;s__ +156895 k__Bacteria;p__Gemmatimonadetes;c__Gemmatimonadetes;o__;f__;g__;s__ +156900 k__Bacteria;p__TM7;c__SC3;o__;f__;g__;s__ +156917 k__Bacteria;p__Verrucomicrobia;c__[Pedosphaerae];o__[Pedosphaerales];f__Ellin515;g__;s__ +156946 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Legionellales;f__;g__;s__ +156963 k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__;s__ +156973 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__;f__;g__;s__ +156976 k__Bacteria;p__Acidobacteria;c__iii1-8;o__DS-18;f__;g__;s__ +156986 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Sinobacteraceae;g__;s__ +1569897 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Sinobacteraceae;g__;s__ +157110 k__Bacteria;p__Acidobacteria;c__iii1-8;o__DS-18;f__;g__;s__ +1572885 k__Bacteria;p__Gemmatimonadetes;c__Gemm-5;o__;f__;g__;s__ +1574255 k__Bacteria;p__Acidobacteria;c__Sva0725;o__Sva0725;f__;g__;s__ +1574978 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +157564 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Oxalobacteraceae;g__;s__ +157614 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Rhizobiaceae;g__Agrobacterium;s__ +158117 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__;f__;g__;s__ +158263 k__Bacteria;p__Bacteroidetes;c__Flavobacteriia;o__Flavobacteriales;f__Flavobacteriaceae;g__Flavobacterium;s__succinicans +158376 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Phyllobacteriaceae;g__Mesorhizobium;s__ +1584967 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Xanthomonadaceae;g__;s__ +1584969 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Beijerinckiaceae;g__;s__ +158741 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Ellin329;f__;g__;s__ +159017 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Caulobacterales;f__Caulobacteraceae;g__;s__ +159038 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Bdellovibrionales;f__Bacteriovoracaceae;g__;s__ +1591464 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ +159543 k__Bacteria;p__Planctomycetes;c__Phycisphaerae;o__Phycisphaerales;f__;g__;s__ +159548 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__;s__ +159560 k__Bacteria;p__Bacteroidetes;c__Sphingobacteriia;o__Sphingobacteriales;f__;g__;s__ +159617 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__MND1;f__;g__;s__ +159853 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__MIZ46;f__;g__;s__ +159884 k__Bacteria;p__Chloroflexi;c__Ktedonobacteria;o__Ktedonobacterales;f__Ktedonobacteraceae;g__;s__ +159929 k__Bacteria;p__Nitrospirae;c__Nitrospira;o__Nitrospirales;f__[Thermodesulfovibrionaceae];g__GOUTA19;s__ +160010 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +160071 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__;s__ +160289 k__Bacteria;p__Chloroflexi;c__Ktedonobacteria;o__Thermogemmatisporales;f__Thermogemmatisporaceae;g__;s__ +160337 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Frankiaceae;g__;s__ +160354 k__Bacteria;p__Chloroflexi;c__Ktedonobacteria;o__Thermogemmatisporales;f__Thermogemmatisporaceae;g__;s__ +160366 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Xanthomonadaceae;g__;s__ +160412 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__;g__;s__ +160422 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +160433 k__Bacteria;p__Chloroflexi;c__Ktedonobacteria;o__Thermogemmatisporales;f__Thermogemmatisporaceae;g__;s__ +160645 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__Candidatus Koribacter;s__ +160786 k__Bacteria;p__Nitrospirae;c__Nitrospira;o__Nitrospirales;f__FW;g__4-29;s__ +160871 k__Bacteria;p__Verrucomicrobia;c__[Spartobacteria];o__[Chthoniobacterales];f__[Chthoniobacteraceae];g__;s__ +160882 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__;s__ +160908 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__A21b;f__EB1003;g__;s__ +160917 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Frankiaceae;g__;s__ +160935 k__Bacteria;p__Chloroflexi;c__Ktedonobacteria;o__Thermogemmatisporales;f__Thermogemmatisporaceae;g__;s__ +160986 k__Bacteria;p__Acidobacteria;c__iii1-8;o__DS-18;f__;g__;s__ +161009 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +161168 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +161199 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Micromonosporaceae;g__Actinoplanes;s__brasiliensis +161203 k__Bacteria;p__Verrucomicrobia;c__[Methylacidiphilae];o__S-BQ2-57;f__;g__;s__ +161233 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Ellin6067;f__;g__;s__ +161241 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__;g__;s__ +16138 k__Bacteria;p__Firmicutes;c__Clostridia;o__Clostridiales;f__Clostridiaceae;g__Clostridium;s__ +161448 k__Bacteria;p__Verrucomicrobia;c__[Pedosphaerae];o__[Pedosphaerales];f__Ellin515;g__;s__ +161479 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +161587 k__Bacteria;p__Chloroflexi;c__Ktedonobacteria;o__B12-WMSP1;f__;g__;s__ +161623 k__Bacteria;p__AD3;c__JG37-AG-4;o__;f__;g__;s__ +161630 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__;s__ +1616779 k__Bacteria;p__Acidobacteria;c__iii1-8;o__DS-18;f__;g__;s__ +1618938 k__Bacteria;p__Cyanobacteria;c__4C0d-2;o__SM1D11;f__;g__;s__ +162188 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Beijerinckiaceae;g__;s__ +1623482 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__SC-I-84;f__;g__;s__ +1624 k__Bacteria;p__Verrucomicrobia;c__[Spartobacteria];o__[Chthoniobacterales];f__[Chthoniobacteraceae];g__DA101;s__ +1625686 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__MIZ46;f__;g__;s__ +1625696 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__;s__ +162920 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Beijerinckiaceae;g__;s__ +163003 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__;s__ +163192 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Oxalobacteraceae;g__;s__ +163345 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__Skermanella;s__ +1634026 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Rhodocyclales;f__Rhodocyclaceae;g__;s__ +1634493 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Nocardioidaceae;g__Aeromicrobium;s__ +163698 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Acetobacteraceae;g__;s__ +1637278 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ +163730 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Planococcaceae;g__Planomicrobium;s__ +1637546 k__Bacteria;p__Chlorobi;c__BSV26;o__PK329;f__;g__;s__ +1638797 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ +1639768 k__Bacteria;p__Actinobacteria;c__Nitriliruptoria;o__Euzebyales;f__Euzebyaceae;g__Euzebya;s__ +1639775 k__Bacteria;p__Actinobacteria;c__MB-A2-108;o__0319-7L14;f__;g__;s__ +1639776 k__Bacteria;p__Actinobacteria;c__Acidimicrobiia;o__Acidimicrobiales;f__;g__;s__ +1639777 k__Bacteria;p__Actinobacteria;c__MB-A2-108;o__0319-7L14;f__;g__;s__ +164404 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodobacterales;f__Hyphomonadaceae;g__;s__ +164668 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Beijerinckiaceae;g__;s__ +164866 k__Bacteria;p__TM6;c__SJA-4;o__;f__;g__;s__ +165006 k__Bacteria;p__Bacteroidetes;c__Sphingobacteriia;o__Sphingobacteriales;f__Sphingobacteriaceae;g__;s__ +16538 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Nocardioidaceae;g__;s__ +1654602 k__Bacteria;p__Actinobacteria;c__Acidimicrobiia;o__Acidimicrobiales;f__;g__;s__ +165509 k__Bacteria;p__Chloroflexi;c__Anaerolineae;o__SHA-20;f__;g__;s__ +1656467 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Caulobacterales;f__Caulobacteraceae;g__Mycoplana;s__ +1656470 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Devosia;s__ +1657331 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Pedomicrobium;s__ +165771 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Caulobacterales;f__Caulobacteraceae;g__Arthrospira;s__ +165827 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodobacterales;f__Rhodobacteraceae;g__Rubellimicrobium;s__ +166064 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Oxalobacteraceae;g__Janthinobacterium;s__ +166076 k__Bacteria;p__Actinobacteria;c__Rubrobacteria;o__Rubrobacterales;f__Rubrobacteraceae;g__Rubrobacter;s__ +1662277 k__Bacteria;p__Chloroflexi;c__Anaerolineae;o__Caldilineales;f__Caldilineaceae;g__;s__ +166367 k__Bacteria;p__Chloroflexi;c__Dehalococcoidetes;o__Dehalococcoidales;f__;g__;s__ +1667530 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Nocardioidaceae;g__Friedmanniella;s__ +166819 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Nocardiaceae;g__Nocardia;s__ +166838 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__Rubrivivax;s__ +1669782 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Gaiellales;f__AK1AB1_02E;g__;s__ +1671566 k__Bacteria;p__Chloroflexi;c__Anaerolineae;o__H39;f__;g__;s__ +1671567 k__Bacteria;p__Acidobacteria;c__DA052;o__Ellin6513;f__;g__;s__ +167411 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Sinobacteraceae;g__;s__ +167531 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Pseudonocardiaceae;g__;s__ +1675799 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__;s__ +168212 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Caulobacterales;f__Caulobacteraceae;g__;s__ +1682858 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Gaiellales;f__Gaiellaceae;g__;s__ +1682862 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__[Entotheonellales];f__[Entotheonellaceae];g__;s__ +1684306 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__;s__ +1689895 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__Chitinophaga;s__ +169160 k__Bacteria;p__TM7;c__TM7-3;o__;f__;g__;s__ +1692224 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__Rhodoferax;s__ +1692229 k__Bacteria;p__Chloroflexi;c__Ellin6529;o__;f__;g__;s__ +16939 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Bdellovibrionales;f__Bdellovibrionaceae;g__Bdellovibrio;s__bacteriovorus +1701849 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__;f__;g__;s__ +170219 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Acetobacteraceae;g__;s__ +1703428 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Micromonosporaceae;g__Dactylosporangium;s__ +170417 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Pseudomonadales;f__Pseudomonadaceae;g__Pseudomonas;s__ +170834 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Microbacteriaceae;g__;s__ +1708927 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__;g__;s__ +171397 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__Ellin6075;g__;s__ +171409 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__;s__ +1716466 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Ellin6067;f__;g__;s__ +171768 k__Bacteria;p__Bacteroidetes;c__Flavobacteriia;o__Flavobacteriales;f__Flavobacteriaceae;g__Flavobacterium;s__ +1718 k__Bacteria;p__Acidobacteria;c__iii1-8;o__DS-18;f__;g__;s__ +1719246 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__ +172128 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Hyphomicrobium;s__ +172172 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Legionellales;f__Coxiellaceae;g__;s__ +172207 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Burkholderiaceae;g__Burkholderia;s__andropogonis +1722698 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +1722703 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +172332 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Nocardioidaceae;g__;s__ +1723981 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Xanthomonadaceae;g__;s__ +172436 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__;g__;s__ +1726541 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Xanthomonadaceae;g__;s__ +172809 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Beijerinckiaceae;g__;s__ +173004 k__Bacteria;p__Nitrospirae;c__Nitrospira;o__Nitrospirales;f__Nitrospiraceae;g__Nitrospira;s__ +1733 k__Bacteria;p__Acidobacteria;c__Holophagae;o__Holophagales;f__Holophagaceae;g__;s__ +17331 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__;f__;g__;s__ +1733407 k__Bacteria;p__Verrucomicrobia;c__[Spartobacteria];o__[Chthoniobacterales];f__[Chthoniobacteraceae];g__DA101;s__ +173398 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Legionellales;f__Legionellaceae;g__Legionella;s__ +173557 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rickettsiales;f__;g__;s__ +1735981 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__;g__;s__ +17410 k__Bacteria;p__Bacteroidetes;c__Sphingobacteriia;o__Sphingobacteriales;f__Sphingobacteriaceae;g__;s__ +1742484 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__NB1-j;f__;g__;s__ +1744843 k__Bacteria;p__Actinobacteria;c__Acidimicrobiia;o__Acidimicrobiales;f__;g__;s__ +175067 k__Bacteria;p__OD1;c__;o__;f__;g__;s__ +175203 k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__Adhaeribacter;s__ +1753826 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__mb2424;g__;s__ +1754884 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__;g__;s__ +1755091 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__MND1;f__;g__;s__ +1757039 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__;g__;s__ +1757040 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__;g__;s__ +175931 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Methylobacteriaceae;g__Methylobacterium;s__ +175954 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Pseudonocardiaceae;g__Pseudonocardia;s__halophobica +176150 k__Bacteria;p__Elusimicrobia;c__Elusimicrobia;o__FAC88;f__;g__;s__ +17679 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__;s__ +1771 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__Ellin6075;g__;s__ +177302 k__Bacteria;p__Chloroflexi;c__Ktedonobacteria;o__Thermogemmatisporales;f__Thermogemmatisporaceae;g__;s__ +1777154 k__Bacteria;p__Acidobacteria;c__Acidobacteria-5;o__;f__;g__;s__ +177975 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Novosphingobium;s__ +1781230 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__MIZ46;f__;g__;s__ +1785533 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +178839 k__Bacteria;p__Firmicutes;c__Clostridia;o__Clostridiales;f__[Mogibacteriaceae];g__;s__ +179877 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ +179879 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__Myxococcaceae;g__Anaeromyxobacter;s__ +17991 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Micromonosporaceae;g__Actinoplanes;s__ +180507 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Beijerinckiaceae;g__;s__ +1806981 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Bradyrhizobiaceae;g__;s__ +1812612 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Syntrophobacterales;f__Syntrophobacteraceae;g__;s__ +1816268 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Acidobacteriaceae;g__;s__ +181641 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__Inquilinus;s__limosus +1818 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +181846 k__Bacteria;p__Chloroflexi;c__Ktedonobacteria;o__Thermogemmatisporales;f__Thermogemmatisporaceae;g__;s__ +1818527 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Streptomycetaceae;g__Streptomyces;s__ +181908 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +182111 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Acidobacteriaceae;g__;s__ +182489 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__;g__;s__ +182490 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__;s__ +1827053 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__MND1;f__;g__;s__ +1835911 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodobacterales;f__Rhodobacteraceae;g__Paracoccus;s__ +1842323 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Oxalobacteraceae;g__Cupriavidus;s__gilardii +1843701 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Planococcaceae;g__Viridibacillus;s__ +1848217 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__;s__ +184984 k__Bacteria;p__Firmicutes;c__Clostridia;o__Clostridiales;f__Lachnospiraceae;g__Blautia;s__ +18499 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Sphingobium;s__ +18546 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__;s__ +185636 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Burkholderiaceae;g__Salinispora;s__tropica +1856808 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Xanthomonadaceae;g__;s__ +185701 k__Bacteria;p__Bacteroidetes;c__Sphingobacteriia;o__Sphingobacteriales;f__Sphingobacteriaceae;g__;s__ +1857055 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Pseudonocardiaceae;g__Pseudonocardia;s__ +1857346 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__;s__ +1862310 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__;f__;g__;s__ +1863794 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Oxalobacteraceae;g__;s__ +1864498 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Paenibacillaceae;g__Paenibacillus;s__ +1864542 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__RB40;g__;s__ +186763 k__Bacteria;p__TM7;c__TM7-1;o__;f__;g__;s__ +186887 k__Bacteria;p__Chloroflexi;c__TK10;o__AKYG885;f__5B-12;g__;s__ +187488 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Alteromonadales;f__211ds20;g__;s__ +187506 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Xanthomonadaceae;g__;s__ +1876538 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__Ellin6075;g__;s__ +1881708 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Rhodobiaceae;g__Afifella;s__ +188263 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__;g__;s__ +1885208 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__SBla14;f__;g__;s__ +1889199 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +1889810 k__Bacteria;p__Bacteroidetes;c__Flavobacteriia;o__Flavobacteriales;f__Flavobacteriaceae;g__Flavobacterium;s__columnare +189508 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +1897510 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__Haliangiaceae;g__;s__ +1898675 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__Ramlibacter;s__ +190279 k__Bacteria;p__Acidobacteria;c__DA052;o__Ellin6513;f__;g__;s__ +19038 k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__Hymenobacter;s__ +190640 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__;g__;s__ +1906814 k__Bacteria;p__TM7;c__TM7-3;o__Blgi18;f__;g__;s__ +1909053 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__;g__;s__ +191237 k__Bacteria;p__Bacteroidetes;c__Flavobacteriia;o__Flavobacteriales;f__[Weeksellaceae];g__Chryseobacterium;s__ +191698 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Mycobacteriaceae;g__Mycobacterium;s__ +1919146 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ +192024 k__Bacteria;p__TM6;c__SJA-4;o__;f__;g__;s__ +1921136 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +1925452 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__Ellin6075;g__;s__ +1925460 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +1932546 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__;s__ +194069 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__;f__;g__;s__ +1942205 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Beijerinckiaceae;g__;s__ +19427 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Novosphingobium;s__ +195316 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__11-24;f__;g__;s__ +1954099 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Sinobacteraceae;g__Steroidobacter;s__ +195479 k__Bacteria;p__Cyanobacteria;c__ML635J-21;o__;f__;g__;s__ +195489 k__Bacteria;p__TM7;c__TM7-3;o__;f__;g__;s__ +195864 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Micromonosporaceae;g__;s__ +195967 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__NB1-j;f__;g__;s__ +196265 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Micrococcaceae;g__Arthrobacter;s__sulfureus +1962747 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__;s__ +1962755 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Syntrophobacterales;f__Syntrophobacteraceae;g__;s__ +19636 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Nitrosomonadales;f__Nitrosomonadaceae;g__Nitrosomonas;s__oligotropha +1964005 k__Bacteria;p__Cyanobacteria;c__Chloroplast;o__Streptophyta;f__;g__;s__ +196652 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Burkholderiaceae;g__Burkholderia;s__glathei +1967615 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +197510 k__Bacteria;p__Firmicutes;c__Clostridia;o__Clostridiales;f__Clostridiaceae;g__Clostridium;s__hiranonis +197697 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__;g__;s__ +1977617 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Beijerinckiaceae;g__;s__ +1978301 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__;g__;s__ +198096 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__;s__ +198655 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__;g__;s__ +1989891 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__;f__;g__;s__ +199089 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__MKC10;f__;g__;s__ +199504 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Sphingomonas;s__ +1998479 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Planococcaceae;g__;s__ +200046 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Gaiellales;f__Gaiellaceae;g__;s__ +200101 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__Haliangiaceae;g__;s__ +200323 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__;g__;s__ +200324 k__Bacteria;p__Chloroflexi;c__Anaerolineae;o__SBR1031;f__oc28;g__;s__ +200489 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__;g__;s__ +200629 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Solirubrobacterales;f__;g__;s__ +200681 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Beijerinckiaceae;g__;s__ +200726 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__;g__;s__ +200762 k__Bacteria;p__GN02;c__BD1-5;o__;f__;g__;s__ +200953 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__;g__;s__ +201019 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__;g__;s__ +201204 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rickettsiales;f__Rickettsiaceae;g__;s__ +201423 k__Bacteria;p__Bacteroidetes;c__At12OctB3;o__;f__;g__;s__ +201562 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Rhizobiaceae;g__Agrobacterium;s__ +201597 k__Bacteria;p__Planctomycetes;c__Planctomycetia;o__Gemmatales;f__Gemmataceae;g__;s__ +2017429 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__Ellin6075;g__;s__ +2020093 k__Bacteria;p__TM7;c__TM7-1;o__;f__;g__;s__ +2022269 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__;s__ +202229 k__Bacteria;p__Chloroflexi;c__Ktedonobacteria;o__;f__;g__;s__ +202331 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Mycobacteriaceae;g__Mycobacterium;s__ +202525 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +2025460 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Solirubrobacterales;f__;g__;s__ +202610 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Pseudomonadales;f__Pseudomonadaceae;g__Pseudomonas;s__ +202802 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Rhodocyclales;f__Rhodocyclaceae;g__Azoarcus;s__ +202938 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Microbacteriaceae;g__;s__ +203357 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__;s__ +203365 k__Bacteria;p__Planctomycetes;c__Planctomycetia;o__Gemmatales;f__Gemmataceae;g__;s__ +2034121 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +2034540 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__;s__ +203466 k__Bacteria;p__Cyanobacteria;c__Chloroplast;o__Chlorophyta;f__;g__;s__ +2035238 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rickettsiales;f__mitochondria;g__Syntrichia;s__ruralis +203542 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__Rubrivivax;s__ +203618 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Streptomycetaceae;g__Streptomyces;s__ +203626 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Ellin329;f__;g__;s__ +203659 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Xanthomonadaceae;g__;s__ +2036700 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__;s__ +203733 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Ellin329;f__;g__;s__ +203744 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__;f__;g__;s__ +203769 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__SC-I-84;f__;g__;s__ +203878 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__Polyangiaceae;g__;s__ +203879 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__;f__;g__;s__ +203969 k__Bacteria;p__Acidobacteria;c__DA052;o__Ellin6513;f__;g__;s__ +203975 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__;f__;g__;s__ +2040235 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__ +204068 k__Bacteria;p__Chloroflexi;c__P2-11E;o__;f__;g__;s__ +204110 k__Bacteria;p__OD1;c__SM2F11;o__;f__;g__;s__ +204223 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__;s__ +204324 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ +204402 k__Bacteria;p__Acidobacteria;c__iii1-8;o__32-20;f__;g__;s__ +204422 k__Bacteria;p__Chloroflexi;c__TK10;o__B07_WMSP1;f__FFCH4570;g__;s__ +2044253 k__Bacteria;p__Acidobacteria;c__Acidobacteria-5;o__;f__;g__;s__ +204462 k__Bacteria;p__Acidobacteria;c__DA052;o__Ellin6513;f__;g__;s__ +204470 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +204592 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__Candidatus Koribacter;s__ +204714 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__;g__;s__ +204757 k__Bacteria;p__Chloroflexi;c__TK17;o__;f__;g__;s__ +204786 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Sinobacteraceae;g__;s__ +2047931 k__Bacteria;p__Chloroflexi;c__Anaerolineae;o__SBR1031;f__A4b;g__;s__ +204795 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__Flavisolibacter;s__ +204862 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Gaiellales;f__Gaiellaceae;g__;s__ +204875 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ +204899 k__Bacteria;p__Chloroflexi;c__Anaerolineae;o__H39;f__;g__;s__ +204919 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ +204934 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +205058 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__A21b;f__EB1003;g__;s__ +205156 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ +205209 k__Bacteria;p__OD1;c__SM2F11;o__;f__;g__;s__ +205245 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__;s__ +205301 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__SC-I-84;f__;g__;s__ +205306 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__SC-I-84;f__;g__;s__ +205340 k__Bacteria;p__Chloroflexi;c__S085;o__;f__;g__;s__ +205343 k__Bacteria;p__Acidobacteria;c__;o__;f__;g__;s__ +205391 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__;g__;s__ +205434 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Ellin329;f__;g__;s__ +205456 k__Bacteria;p__Verrucomicrobia;c__[Spartobacteria];o__[Chthoniobacterales];f__[Chthoniobacteraceae];g__DA101;s__ +205571 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__;f__;g__;s__ +205609 k__Bacteria;p__Bacteroidetes;c__Sphingobacteriia;o__Sphingobacteriales;f__;g__;s__ +205635 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__;g__;s__ +205773 k__Bacteria;p__AD3;c__ABS-6;o__;f__;g__;s__ +205811 k__Bacteria;p__Planctomycetes;c__Phycisphaerae;o__WD2101;f__;g__;s__ +2058264 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__OM27;g__;s__ +205835 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ +205900 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__;g__;s__ +205999 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__;s__ +206038 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Gaiellales;f__;g__;s__ +206106 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__;g__;s__ +206278 k__Bacteria;p__Chloroflexi;c__Ellin6529;o__;f__;g__;s__ +206331 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__;g__;s__ +2063454 k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__;s__ +206386 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__;g__;s__ +206404 k__Bacteria;p__OD1;c__;o__;f__;g__;s__ +206405 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__IS-44;f__;g__;s__ +206488 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__SC-I-84;f__;g__;s__ +206493 k__Bacteria;p__Verrucomicrobia;c__[Spartobacteria];o__[Chthoniobacterales];f__[Chthoniobacteraceae];g__DA101;s__ +206514 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Ellin329;f__;g__;s__ +206531 k__Bacteria;p__Acidobacteria;c__;o__;f__;g__;s__ +206565 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Pseudomonadales;f__Pseudomonadaceae;g__;s__ +2065980 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Gaiellales;f__Gaiellaceae;g__;s__ +206609 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Ellin6067;f__;g__;s__ +206632 k__Bacteria;p__Verrucomicrobia;c__[Spartobacteria];o__[Chthoniobacterales];f__[Chthoniobacteraceae];g__Candidatus Xiphinematobacter;s__ +206724 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__;g__;s__ +206752 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +2068089 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__CCU21;f__;g__;s__ +206938 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Pseudomonadales;f__Moraxellaceae;g__Acinetobacter;s__ +206961 k__Bacteria;p__Verrucomicrobia;c__[Methylacidiphilae];o__S-BQ2-57;f__;g__;s__ +206963 k__Bacteria;p__Chloroflexi;c__Ellin6529;o__;f__;g__;s__ +206988 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Caulobacterales;f__;g__;s__ +207042 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +207082 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Ellin6067;f__;g__;s__ +207124 k__Bacteria;p__Actinobacteria;c__Acidimicrobiia;o__Acidimicrobiales;f__;g__;s__ +207133 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__SC-I-84;f__;g__;s__ +207151 k__Bacteria;p__Acidobacteria;c__;o__;f__;g__;s__ +207153 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__;s__ +20720 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Micrococcaceae;g__;s__ +207283 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Solirubrobacterales;f__;g__;s__ +207355 k__Bacteria;p__Chloroflexi;c__Anaerolineae;o__SBR1031;f__A4b;g__;s__ +207374 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ +207376 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +207510 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Caulobacterales;f__Caulobacteraceae;g__;s__ +207633 k__Bacteria;p__Nitrospirae;c__Nitrospira;o__Nitrospirales;f__0319-6A21;g__;s__ +207645 k__Bacteria;p__OD1;c__SM2F11;o__;f__;g__;s__ +207662 k__Bacteria;p__Chloroflexi;c__;o__;f__;g__;s__ +207672 k__Bacteria;p__Acidobacteria;c__iii1-8;o__DS-18;f__;g__;s__ +2077427 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__RB40;g__;s__ +207780 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__;s__ +207813 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Xanthomonadaceae;g__;s__ +207848 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Hyphomicrobium;s__ +207866 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Pedomicrobium;s__ +207885 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Burkholderiaceae;g__;s__ +207895 k__Bacteria;p__Verrucomicrobia;c__[Spartobacteria];o__[Chthoniobacterales];f__[Chthoniobacteraceae];g__DA101;s__ +207912 k__Bacteria;p__Actinobacteria;c__Acidimicrobiia;o__Acidimicrobiales;f__EB1017;g__;s__ +207947 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Intrasporangiaceae;g__;s__ +207982 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__;g__;s__ +208009 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__SC-I-84;f__;g__;s__ +208090 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__;f__;g__;s__ +208118 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ +2081395 k__Bacteria;p__Gemmatimonadetes;c__Gemm-5;o__;f__;g__;s__ +208141 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Burkholderiaceae;g__;s__ +208145 k__Bacteria;p__Planctomycetes;c__OM190;o__;f__;g__;s__ +208164 k__Bacteria;p__Acidobacteria;c__DA052;o__Ellin6513;f__;g__;s__ +208251 k__Bacteria;p__Acidobacteria;c__iii1-8;o__32-20;f__;g__;s__ +208253 k__Bacteria;p__TM7;c__TM7-1;o__;f__;g__;s__ +208260 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Legionellales;f__Coxiellaceae;g__Aquicella;s__ +208283 k__Bacteria;p__Verrucomicrobia;c__[Spartobacteria];o__[Chthoniobacterales];f__[Chthoniobacteraceae];g__DA101;s__ +208293 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ +208343 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__;g__;s__ +208423 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Gaiellales;f__Gaiellaceae;g__;s__ +208424 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__;s__ +208595 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Saprospiraceae;g__;s__ +208637 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Xanthobacteraceae;g__;s__ +208701 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__;g__;s__ +208779 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__;g__;s__ +208805 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +2088818 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +208896 k__Bacteria;p__Chloroflexi;c__Ktedonobacteria;o__Ktedonobacterales;f__Ktedonobacteraceae;g__;s__ +209061 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +209096 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Xanthobacteraceae;g__Labrys;s__ +209124 k__Bacteria;p__Bacteroidetes;c__Flavobacteriia;o__Flavobacteriales;f__[Weeksellaceae];g__Cloacibacterium;s__ +209136 k__Bacteria;p__Verrucomicrobia;c__[Pedosphaerae];o__[Pedosphaerales];f__;g__;s__ +209233 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +209238 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__;s__ +209415 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ +209422 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +209437 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Ellin6067;f__;g__;s__ +209467 k__Bacteria;p__Acidobacteria;c__iii1-8;o__DS-18;f__;g__;s__ +209481 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Xanthomonadaceae;g__;s__ +209507 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Devosia;s__ +209508 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Ellin329;f__;g__;s__ +209520 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__Ellin6075;g__;s__ +209523 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__;g__;s__ +2095263 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Spirobacillales;f__;g__;s__ +209579 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__;g__;s__ +209595 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Sphingomonas;s__ +209662 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__;g__;s__ +209725 k__Bacteria;p__Actinobacteria;c__Acidimicrobiia;o__Acidimicrobiales;f__;g__;s__ +209762 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Caulobacterales;f__Caulobacteraceae;g__Phenylobacterium;s__ +209801 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Xanthomonadaceae;g__;s__ +209803 k__Bacteria;p__Acidobacteria;c__DA052;o__Ellin6513;f__;g__;s__ +209825 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Acidobacteriaceae;g__;s__ +209886 k__Bacteria;p__Armatimonadetes;c__;o__;f__;g__;s__ +209920 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__;f__;g__;s__ +209935 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__;s__ +209946 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__Ellin6075;g__;s__ +209998 k__Bacteria;p__WS3;c__PRR-12;o__Sediment-1;f__;g__;s__ +210024 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__;f__;g__;s__ +2100502 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ +210216 k__Bacteria;p__Planctomycetes;c__Phycisphaerae;o__WD2101;f__;g__;s__ +210266 k__Bacteria;p__Actinobacteria;c__Acidimicrobiia;o__Acidimicrobiales;f__EB1017;g__;s__ +210306 k__Bacteria;p__Acidobacteria;c__DA052;o__Ellin6513;f__;g__;s__ +210344 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Pedomicrobium;s__ +210387 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__;s__ +210409 k__Bacteria;p__Acidobacteria;c__DA052;o__Ellin6513;f__;g__;s__ +210428 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__;f__;g__;s__ +210450 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Legionellales;f__Coxiellaceae;g__Aquicella;s__ +210485 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__;s__ +210532 k__Bacteria;p__Chloroflexi;c__Anaerolineae;o__H39;f__;g__;s__ +210561 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__;s__ +210598 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__;f__;g__;s__ +210606 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__IS-44;f__;g__;s__ +210607 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Gaiellales;f__Gaiellaceae;g__;s__ +210657 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__;s__ +210722 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ +210745 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__;g__;s__ +210788 k__Bacteria;p__Verrucomicrobia;c__[Pedosphaerae];o__[Pedosphaerales];f__Ellin515;g__;s__ +210800 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Bradyrhizobiaceae;g__;s__ +210865 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__;s__ +210884 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__;s__ +210914 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ +210951 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__11-24;f__;g__;s__ +210991 k__Bacteria;p__Chloroflexi;c__Anaerolineae;o__A31;f__S47;g__;s__ +211037 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__;s__ +211062 k__Bacteria;p__Bacteroidetes;c__Flavobacteriia;o__Flavobacteriales;f__Flavobacteriaceae;g__Flavobacterium;s__ +211106 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Bradyrhizobiaceae;g__;s__ +2111163 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Oxalobacteraceae;g__Cupriavidus;s__gilardii +211120 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Planococcaceae;g__;s__ +211129 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__;s__ +2111564 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__Ellin6075;g__;s__ +211188 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Streptosporangiaceae;g__Nonomuraea;s__ +211287 k__Bacteria;p__Chloroflexi;c__S085;o__;f__;g__;s__ +211329 k__Bacteria;p__Acidobacteria;c__DA052;o__Ellin6513;f__;g__;s__ +211507 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Nocardioidaceae;g__;s__ +211514 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__;s__ +211539 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Streptomycetaceae;g__;s__ +211552 k__Bacteria;p__OD1;c__SM2F11;o__;f__;g__;s__ +211578 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__Ellin6075;g__;s__ +211581 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ +211582 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__;g__;s__ +211598 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +211600 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ +211658 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__;s__ +211660 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__;f__;g__;s__ +211678 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +2116816 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Bdellovibrionales;f__Bdellovibrionaceae;g__Bdellovibrio;s__ +211684 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__CCU21;f__;g__;s__ +211848 k__Bacteria;p__Bacteroidetes;c__Sphingobacteriia;o__Sphingobacteriales;f__;g__;s__ +211934 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__;f__;g__;s__ +211950 k__Bacteria;p__Gemmatimonadetes;c__Gemmatimonadetes;o__;f__;g__;s__ +211984 k__Bacteria;p__WPS-2;c__;o__;f__;g__;s__ +211992 k__Bacteria;p__Planctomycetes;c__Phycisphaerae;o__WD2101;f__;g__;s__ +212022 k__Bacteria;p__Bacteroidetes;c__Sphingobacteriia;o__Sphingobacteriales;f__;g__;s__ +212027 k__Bacteria;p__Chloroflexi;c__Ellin6529;o__;f__;g__;s__ +212054 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +212151 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__;f__;g__;s__ +212186 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Bradyrhizobiaceae;g__;s__ +2121893 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +212223 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Ellin329;f__;g__;s__ +212239 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Acidobacteriaceae;g__Terriglobus;s__ +212287 k__Bacteria;p__Chloroflexi;c__P2-11E;o__;f__;g__;s__ +212299 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Rhizobiaceae;g__Amorphomonas;s__oryzae +212427 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Ellin329;f__;g__;s__ +212443 k__Bacteria;p__Verrucomicrobia;c__[Spartobacteria];o__[Chthoniobacterales];f__[Chthoniobacteraceae];g__DA101;s__ +212493 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__;s__ +212501 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ +212546 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Ellin6067;f__;g__;s__ +212583 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__RB40;g__;s__ +212594 k__Bacteria;p__GAL15;c__;o__;f__;g__;s__ +2126372 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +212644 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ +212676 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +212688 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Caulobacterales;f__Caulobacteraceae;g__;s__ +212739 k__Bacteria;p__TM7;c__MJK10;o__;f__;g__;s__ +212764 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__Ellin6075;g__;s__ +212776 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ +212836 k__Bacteria;p__Bacteroidetes;c__Flavobacteriia;o__Flavobacteriales;f__Flavobacteriaceae;g__Flavobacterium;s__ +212840 k__Bacteria;p__Verrucomicrobia;c__[Spartobacteria];o__[Chthoniobacterales];f__[Chthoniobacteraceae];g__DA101;s__ +212863 k__Bacteria;p__Acidobacteria;c__Acidobacteria-5;o__;f__;g__;s__ +212889 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Micromonosporaceae;g__;s__ +212945 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Methylobacteriaceae;g__;s__ +213078 k__Bacteria;p__Acidobacteria;c__Sva0725;o__Sva0725;f__;g__;s__ +213088 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Novosphingobium;s__ +213177 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ +213249 k__Bacteria;p__Verrucomicrobia;c__[Spartobacteria];o__[Chthoniobacterales];f__[Chthoniobacteraceae];g__DA101;s__ +213264 k__Bacteria;p__Planctomycetes;c__OM190;o__agg27;f__;g__;s__ +213308 k__Bacteria;p__Chloroflexi;c__Thermomicrobia;o__JG30-KF-CM45;f__;g__;s__ +213493 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Legionellales;f__;g__;s__ +213587 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Nocardioidaceae;g__;s__ +213634 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +21368 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__SBla14;f__;g__;s__ +213687 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Mycobacteriaceae;g__Mycobacterium;s__ +213804 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Syntrophobacterales;f__Syntrophobacteraceae;g__;s__ +213834 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Streptomycetaceae;g__;s__ +213892 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +213922 k__Bacteria;p__Verrucomicrobia;c__[Spartobacteria];o__[Chthoniobacterales];f__[Chthoniobacteraceae];g__DA101;s__ +213944 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__;g__;s__ +214033 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Solirubrobacterales;f__;g__;s__ +214128 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Gaiellales;f__Gaiellaceae;g__;s__ +214169 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__;f__;g__;s__ +2144438 k__Bacteria;p__TM7;c__TM7-1;o__;f__;g__;s__ +214555 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Xanthomonadaceae;g__;s__ +214584 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Ellin6067;f__;g__;s__ +214585 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Saprospiraceae;g__;s__ +214595 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Mycobacteriaceae;g__Mycobacterium;s__ +214611 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__;s__ +214676 k__Bacteria;p__Gemmatimonadetes;c__Gemmatimonadetes;o__N1423WL;f__;g__;s__ +214730 k__Bacteria;p__Verrucomicrobia;c__[Spartobacteria];o__[Chthoniobacterales];f__[Chthoniobacteraceae];g__DA101;s__ +214739 k__Bacteria;p__Verrucomicrobia;c__[Spartobacteria];o__[Chthoniobacterales];f__[Chthoniobacteraceae];g__DA101;s__ +214749 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__MND1;f__;g__;s__ +214791 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ +214806 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Gaiellales;f__;g__;s__ +214811 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__;g__;s__ +214914 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Ellin329;f__;g__;s__ +214977 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__SC-I-84;f__;g__;s__ +215100 k__Bacteria;p__Chloroflexi;c__Ktedonobacteria;o__B12-WMSP1;f__;g__;s__ +215113 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__;s__ +215229 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Ellin6067;f__;g__;s__ +215343 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Ellin329;f__;g__;s__ +2153555 k__Bacteria;p__Actinobacteria;c__Acidimicrobiia;o__Acidimicrobiales;f__;g__;s__ +215375 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__;s__ +215379 k__Bacteria;p__Chloroflexi;c__Anaerolineae;o__SBR1031;f__oc28;g__;s__ +215447 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Devosia;s__ +215449 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__A21b;f__EB1003;g__;s__ +215477 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +215504 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ +215615 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Kineosporiaceae;g__;s__ +215656 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__;s__ +215692 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ +215776 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Mycobacteriaceae;g__Mycobacterium;s__ +215818 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Ellin6067;f__;g__;s__ +215823 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +215825 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Ellin329;f__;g__;s__ +215863 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__OM27;g__;s__ +215915 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Oxalobacteraceae;g__Herminiimonas;s__ +215943 k__Bacteria;p__Chlorobi;c__OPB56;o__;f__;g__;s__ +216023 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__;s__ +216075 k__Bacteria;p__OD1;c__;o__;f__;g__;s__ +216128 k__Bacteria;p__Actinobacteria;c__Acidimicrobiia;o__Acidimicrobiales;f__;g__;s__ +216180 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +216189 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Gaiellales;f__Gaiellaceae;g__;s__ +216191 k__Bacteria;p__Planctomycetes;c__Phycisphaerae;o__WD2101;f__;g__;s__ +216234 k__Bacteria;p__Kazan-3B-28;c__;o__;f__;g__;s__ +216235 k__Bacteria;p__;c__;o__;f__;g__;s__ +216255 k__Bacteria;p__Verrucomicrobia;c__[Spartobacteria];o__[Chthoniobacterales];f__[Chthoniobacteraceae];g__Ellin506;s__ +216317 k__Bacteria;p__Gemmatimonadetes;c__Gemmatimonadetes;o__Gemmatimonadales;f__Gemmatimonadaceae;g__Gemmatimonas;s__ +216350 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +216368 k__Bacteria;p__Planctomycetes;c__BD7-11;o__;f__;g__;s__ +216469 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Pseudonocardiaceae;g__Pseudonocardia;s__ +216497 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Planococcaceae;g__Sporosarcina;s__ginsengi +216503 k__Bacteria;p__OD1;c__SM2F11;o__;f__;g__;s__ +216549 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__;g__;s__ +216553 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__;s__ +216604 k__Bacteria;p__TM7;c__TM7-1;o__;f__;g__;s__ +216638 k__Bacteria;p__Actinobacteria;c__Acidimicrobiia;o__Acidimicrobiales;f__;g__;s__ +216643 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__SC-I-84;f__;g__;s__ +216743 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Legionellales;f__Coxiellaceae;g__;s__ +216771 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ +216805 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Bradyrhizobiaceae;g__;s__ +216823 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Caulobacterales;f__Caulobacteraceae;g__;s__ +216925 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__;g__;s__ +217034 k__Bacteria;p__Actinobacteria;c__Acidimicrobiia;o__Acidimicrobiales;f__;g__;s__ +217097 k__Bacteria;p__;c__;o__;f__;g__;s__ +217132 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +217201 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__;s__ +217241 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Bdellovibrionales;f__Bdellovibrionaceae;g__Bdellovibrio;s__ +217248 k__Bacteria;p__Planctomycetes;c__Phycisphaerae;o__WD2101;f__;g__;s__ +217263 k__Bacteria;p__AD3;c__ABS-6;o__;f__;g__;s__ +217266 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Sphingomonas;s__ +217315 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__Haliangiaceae;g__;s__ +217328 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__Haliangiaceae;g__;s__ +217365 k__Bacteria;p__Gemmatimonadetes;c__Gemm-1;o__;f__;g__;s__ +217403 k__Bacteria;p__Planctomycetes;c__Phycisphaerae;o__WD2101;f__;g__;s__ +217448 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Solirubrobacterales;f__;g__;s__ +217472 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__Candidatus Koribacter;s__ +217481 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__Telmatospirillum;s__ +217506 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Oxalobacteraceae;g__;s__ +217526 k__Bacteria;p__Bacteroidetes;c__Flavobacteriia;o__Flavobacteriales;f__Flavobacteriaceae;g__Flavobacterium;s__ +217548 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Solirubrobacterales;f__;g__;s__ +217594 k__Bacteria;p__Verrucomicrobia;c__[Spartobacteria];o__[Chthoniobacterales];f__[Chthoniobacteraceae];g__DA101;s__ +217650 k__Bacteria;p__Verrucomicrobia;c__[Pedosphaerae];o__[Pedosphaerales];f__Ellin515;g__;s__ +217695 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__;g__;s__ +217717 k__Bacteria;p__Chloroflexi;c__Ktedonobacteria;o__Elev-1554;f__;g__;s__ +217746 k__Bacteria;p__Chloroflexi;c__Ellin6529;o__;f__;g__;s__ +2177646 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__;s__ +217822 k__Bacteria;p__Verrucomicrobia;c__[Pedosphaerae];o__[Pedosphaerales];f__Ellin515;g__;s__ +217834 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__;s__ +217839 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +217880 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Solirubrobacterales;f__;g__;s__ +21795 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Acetobacteraceae;g__;s__ +217972 k__Bacteria;p__Acidobacteria;c__Sva0725;o__Sva0725;f__;g__;s__ +217979 k__Bacteria;p__Gemmatimonadetes;c__Gemmatimonadetes;o__Ellin5290;f__;g__;s__ +218024 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Rhizobiaceae;g__Agrobacterium;s__ +218032 k__Bacteria;p__Verrucomicrobia;c__[Pedosphaerae];o__[Pedosphaerales];f__;g__;s__ +218095 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Rhizobiaceae;g__Rhizobium;s__leguminosarum +218105 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__;s__ +218151 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__;g__;s__ +218154 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Rhizobiaceae;g__;s__ +218162 k__Bacteria;p__Acidobacteria;c__iii1-8;o__DS-18;f__;g__;s__ +218235 k__Bacteria;p__Gemmatimonadetes;c__Gemmatimonadetes;o__Ellin5290;f__;g__;s__ +218239 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__;f__;g__;s__ +218246 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__MND1;f__;g__;s__ +218254 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__cereus +2182957 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__ +218322 k__Bacteria;p__OD1;c__ZB2;o__;f__;g__;s__ +2183685 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Sinobacteraceae;g__;s__ +218380 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__;s__ +2183856 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Syntrophobacterales;f__Syntrophobacteraceae;g__;s__ +2183859 k__Bacteria;p__Nitrospirae;c__Nitrospira;o__Nitrospirales;f__Nitrospiraceae;g__;s__ +218456 k__Bacteria;p__Verrucomicrobia;c__[Pedosphaerae];o__[Pedosphaerales];f__;g__;s__ +218467 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +218479 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Xanthomonadaceae;g__;s__ +218539 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__;f__;g__;s__ +218592 k__Bacteria;p__Planctomycetes;c__Phycisphaerae;o__WD2101;f__;g__;s__ +218628 k__Bacteria;p__Acidobacteria;c__Acidobacteria-5;o__;f__;g__;s__ +218646 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__;s__ +218648 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__Candidatus Koribacter;s__ +218757 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__;s__ +218772 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Xanthobacteraceae;g__Labrys;s__ +218887 k__Bacteria;p__Chloroflexi;c__Ktedonobacteria;o__Thermogemmatisporales;f__Thermogemmatisporaceae;g__;s__ +218896 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__;s__ +218934 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__Ellin6075;g__;s__ +219034 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +219038 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +219059 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +219078 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__SC-I-84;f__;g__;s__ +219094 k__Bacteria;p__Verrucomicrobia;c__[Pedosphaerae];o__[Pedosphaerales];f__;g__;s__ +219098 k__Bacteria;p__Cyanobacteria;c__Chloroplast;o__Chlorophyta;f__;g__;s__ +219189 k__Bacteria;p__Bacteroidetes;c__Flavobacteriia;o__Flavobacteriales;f__[Weeksellaceae];g__Chryseobacterium;s__ +219243 k__Bacteria;p__Bacteroidetes;c__Sphingobacteriia;o__Sphingobacteriales;f__;g__;s__ +219282 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Ellin6067;f__;g__;s__ +219330 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Solirubrobacterales;f__;g__;s__ +219366 k__Bacteria;p__Actinobacteria;c__Acidimicrobiia;o__Acidimicrobiales;f__;g__;s__ +219439 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Xanthomonadaceae;g__;s__ +2194880 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__;s__ +2195184 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__RB40;g__;s__ +219538 k__Bacteria;p__TM7;c__TM7-3;o__EW055;f__;g__;s__ +2195500 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Xanthomonadaceae;g__Dokdonella;s__ +2195501 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +219551 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__;f__;g__;s__ +2196371 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Methylobacteriaceae;g__;s__ +219727 k__Bacteria;p__Bacteroidetes;c__Flavobacteriia;o__Flavobacteriales;f__Flavobacteriaceae;g__Flavobacterium;s__ +219799 k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__;s__ +219830 k__Bacteria;p__AD3;c__ABS-6;o__;f__;g__;s__ +219943 k__Bacteria;p__Chloroflexi;c__Ktedonobacteria;o__Thermogemmatisporales;f__Thermogemmatisporaceae;g__;s__ +220006 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__;g__;s__ +220011 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Ellin6067;f__;g__;s__ +220013 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Gaiellales;f__Gaiellaceae;g__;s__ +2200137 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Oxalobacteraceae;g__;s__ +220042 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Acetobacteraceae;g__;s__ +220050 k__Bacteria;p__Elusimicrobia;c__Elusimicrobia;o__MVP-88;f__;g__;s__ +220148 k__Bacteria;p__AD3;c__JG37-AG-4;o__;f__;g__;s__ +220201 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__Candidatus Koribacter;s__versatilis +220224 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__;s__ +220234 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Acetobacteraceae;g__Acidiphilium;s__ +220263 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__Candidatus Koribacter;s__ +220270 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__;s__ +220314 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Alcaligenaceae;g__Achromobacter;s__ +220353 k__Bacteria;p__Chloroflexi;c__Chloroflexi;o__[Roseiflexales];f__[Kouleothrixaceae];g__;s__ +220360 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Bdellovibrionales;f__Bdellovibrionaceae;g__;s__ +220363 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__;s__ +220368 k__Bacteria;p__Verrucomicrobia;c__[Pedosphaerae];o__[Pedosphaerales];f__Ellin515;g__;s__ +220436 k__Bacteria;p__Verrucomicrobia;c__[Spartobacteria];o__[Chthoniobacterales];f__[Chthoniobacteraceae];g__DA101;s__ +220524 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Nakamurellaceae;g__;s__ +220544 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Acidobacteriaceae;g__;s__ +220551 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Ellin6067;f__;g__;s__ +220686 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Rhodocyclales;f__Rhodocyclaceae;g__;s__ +220719 k__Bacteria;p__Planctomycetes;c__Phycisphaerae;o__WD2101;f__;g__;s__ +220795 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__;g__;s__ +220859 k__Bacteria;p__Verrucomicrobia;c__[Spartobacteria];o__[Chthoniobacterales];f__[Chthoniobacteraceae];g__DA101;s__ +220913 k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__Spirosoma;s__ +221130 k__Bacteria;p__Cyanobacteria;c__Nostocophycideae;o__Nostocales;f__Nostocaceae;g__;s__ +221148 k__Bacteria;p__TM7;c__TM7-1;o__;f__;g__;s__ +221212 k__Bacteria;p__Verrucomicrobia;c__[Pedosphaerae];o__[Pedosphaerales];f__Ellin515;g__;s__ +221319 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__SC-I-84;f__;g__;s__ +2213383 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +221341 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__;s__ +221349 k__Bacteria;p__Gemmatimonadetes;c__Gemmatimonadetes;o__N1423WL;f__;g__;s__ +221372 k__Bacteria;p__Chloroflexi;c__Ktedonobacteria;o__Thermogemmatisporales;f__Thermogemmatisporaceae;g__;s__ +221379 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Mycobacteriaceae;g__Mycobacterium;s__vaccae +221402 k__Bacteria;p__Bacteroidetes;c__Sphingobacteriia;o__Sphingobacteriales;f__Sphingobacteriaceae;g__;s__ +221405 k__Bacteria;p__Armatimonadetes;c__Armatimonadia;o__Armatimonadales;f__Armatimonadaceae;g__;s__ +221463 k__Bacteria;p__Chloroflexi;c__;o__;f__;g__;s__ +221497 k__Bacteria;p__Bacteroidetes;c__Sphingobacteriia;o__Sphingobacteriales;f__Sphingobacteriaceae;g__;s__ +2216489 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__Ellin6075;g__;s__ +2216490 k__Bacteria;p__Gemmatimonadetes;c__Gemm-3;o__;f__;g__;s__ +2216505 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +2216512 k__Bacteria;p__TM7;c__TM7-1;o__;f__;g__;s__ +2216514 k__Bacteria;p__Armatimonadetes;c__Chthonomonadetes;o__SJA-22;f__;g__;s__ +221708 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__;s__ +221734 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__Segetibacter;s__ +221749 k__Bacteria;p__Verrucomicrobia;c__[Spartobacteria];o__[Chthoniobacterales];f__[Chthoniobacteraceae];g__DA101;s__ +221791 k__Bacteria;p__Acidobacteria;c__iii1-8;o__32-20;f__;g__;s__ +221815 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Streptomycetaceae;g__Streptomyces;s__ +221826 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__;s__ +221845 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ +221865 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Thermomonosporaceae;g__;s__ +221891 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Paenibacillaceae;g__Paenibacillus;s__ +221896 k__Bacteria;p__Verrucomicrobia;c__[Spartobacteria];o__[Chthoniobacterales];f__[Chthoniobacteraceae];g__Candidatus Xiphinematobacter;s__ +221902 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Streptomycetaceae;g__;s__ +221925 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__;s__ +221964 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__;s__ +221970 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__;g__;s__ +221991 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__;g__;s__ +222022 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__SC-I-84;f__;g__;s__ +222063 k__Bacteria;p__Actinobacteria;c__Acidimicrobiia;o__Acidimicrobiales;f__;g__;s__ +222087 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ +222088 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__;s__ +2221284 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Methylophilales;f__Methylophilaceae;g__;s__ +222163 k__Bacteria;p__Bacteroidetes;c__Sphingobacteriia;o__Sphingobacteriales;f__Sphingobacteriaceae;g__;s__ +222209 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Bradyrhizobiaceae;g__;s__ +2223018 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ +222364 k__Bacteria;p__Actinobacteria;c__Acidimicrobiia;o__Acidimicrobiales;f__;g__;s__ +222501 k__Bacteria;p__Verrucomicrobia;c__[Spartobacteria];o__[Chthoniobacterales];f__[Chthoniobacteraceae];g__DA101;s__ +222534 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Xanthomonadaceae;g__;s__ +2225714 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Paenibacillaceae;g__Paenibacillus;s__chondroitinus +222635 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +222640 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +222645 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Sinobacteraceae;g__Steroidobacter;s__ +222649 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__MND1;f__;g__;s__ +222673 k__Bacteria;p__Bacteroidetes;c__Sphingobacteriia;o__Sphingobacteriales;f__;g__;s__ +222675 k__Bacteria;p__Armatimonadetes;c__0319-6E2;o__;f__;g__;s__ +222685 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Rhizobiaceae;g__;s__ +222701 k__Bacteria;p__Verrucomicrobia;c__[Spartobacteria];o__[Chthoniobacterales];f__[Chthoniobacteraceae];g__DA101;s__ +222755 k__Bacteria;p__Actinobacteria;c__Acidimicrobiia;o__Acidimicrobiales;f__C111;g__;s__ +222768 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__;f__;g__;s__ +222792 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ +2228274 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Acetobacteraceae;g__Roseomonas;s__aerilata +222831 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Bradyrhizobiaceae;g__Bradyrhizobium;s__ +222868 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Sphingomonas;s__ +22289 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Phyllobacteriaceae;g__;s__ +222905 k__Bacteria;p__Actinobacteria;c__Acidimicrobiia;o__Acidimicrobiales;f__;g__;s__ +222914 k__Bacteria;p__Verrucomicrobia;c__[Pedosphaerae];o__[Pedosphaerales];f__Ellin515;g__;s__ +222945 k__Bacteria;p__TM7;c__TM7-1;o__;f__;g__;s__ +222985 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__;s__ +223003 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__;g__;s__ +223020 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__;s__ +223030 k__Bacteria;p__Gemmatimonadetes;c__Gemm-1;o__;f__;g__;s__ +223126 k__Bacteria;p__Bacteroidetes;c__Sphingobacteriia;o__Sphingobacteriales;f__;g__;s__ +223139 k__Bacteria;p__Actinobacteria;c__Acidimicrobiia;o__Acidimicrobiales;f__;g__;s__ +223175 k__Bacteria;p__Acidobacteria;c__iii1-8;o__DS-18;f__;g__;s__ +223206 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Xanthomonadaceae;g__Dokdonella;s__ +2232179 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__;g__;s__ +223220 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ +223226 k__Bacteria;p__Chloroflexi;c__Ktedonobacteria;o__;f__;g__;s__ +223377 k__Bacteria;p__Cyanobacteria;c__Chloroplast;o__Chlorophyta;f__;g__;s__ +2234401 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Microbacteriaceae;g__;s__ +2234408 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Microbacteriaceae;g__;s__ +223441 k__Bacteria;p__Actinobacteria;c__Acidimicrobiia;o__Acidimicrobiales;f__;g__;s__ +223465 k__Bacteria;p__Armatimonadetes;c__Chthonomonadetes;o__Chthonomonadales;f__Chthonomonadaceae;g__;s__ +223474 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__MIZ46;f__;g__;s__ +223520 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +223583 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Mycobacteriaceae;g__Mycobacterium;s__celatum +223625 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__;s__ +223701 k__Bacteria;p__Chloroflexi;c__Anaerolineae;o__SBR1031;f__oc28;g__;s__ +223724 k__Bacteria;p__Verrucomicrobia;c__[Spartobacteria];o__[Chthoniobacterales];f__[Chthoniobacteraceae];g__DA101;s__ +223743 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Solirubrobacterales;f__;g__;s__ +223804 k__Bacteria;p__Acidobacteria;c__Sva0725;o__Sva0725;f__;g__;s__ +223897 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Pseudomonadales;f__Moraxellaceae;g__;s__ +223912 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__;g__;s__ +223989 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Xanthomonadaceae;g__;s__ +224042 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__Ramlibacter;s__ +224043 k__Bacteria;p__Acidobacteria;c__DA052;o__Ellin6513;f__;g__;s__ +224099 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Bradyrhizobiaceae;g__Bosea;s__genosp. +224129 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__;g__;s__ +224138 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Xanthobacteraceae;g__Labrys;s__ +224372 k__Bacteria;p__Acidobacteria;c__iii1-8;o__DS-18;f__;g__;s__ +224421 k__Bacteria;p__Acidobacteria;c__Sva0725;o__Sva0725;f__;g__;s__ +224515 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__;s__ +224531 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__;s__ +224548 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__SC-I-84;f__;g__;s__ +2245713 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__;g__;s__ +224638 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__;s__ +224648 k__Bacteria;p__Actinobacteria;c__MB-A2-108;o__0319-7L14;f__;g__;s__ +224740 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__Myxococcaceae;g__;s__ +224759 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__;g__;s__ +224768 k__Bacteria;p__Acidobacteria;c__DA052;o__Ellin6513;f__;g__;s__ +224817 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__;f__;g__;s__ +224825 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__Ramlibacter;s__ +224834 k__Bacteria;p__Verrucomicrobia;c__[Spartobacteria];o__[Chthoniobacterales];f__[Chthoniobacteraceae];g__DA101;s__ +224886 k__Bacteria;p__OD1;c__ZB2;o__;f__;g__;s__ +224934 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ +225058 k__Bacteria;p__Planctomycetes;c__Phycisphaerae;o__WD2101;f__;g__;s__ +225073 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__;f__;g__;s__ +225131 k__Bacteria;p__Chloroflexi;c__P2-11E;o__;f__;g__;s__ +225148 k__Bacteria;p__OD1;c__ZB2;o__;f__;g__;s__ +225158 k__Bacteria;p__Verrucomicrobia;c__[Spartobacteria];o__[Chthoniobacterales];f__[Chthoniobacteraceae];g__DA101;s__ +225187 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Ellin329;f__;g__;s__ +225201 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__;s__ +225238 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__;s__ +225263 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__;f__;g__;s__ +225279 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Rhizobiaceae;g__;s__ +225292 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ +225293 k__Bacteria;p__Acidobacteria;c__DA052;o__Ellin6513;f__;g__;s__ +225294 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__;s__ +225307 k__Bacteria;p__TM7;c__TM7-1;o__;f__;g__;s__ +225313 k__Bacteria;p__Verrucomicrobia;c__[Spartobacteria];o__[Chthoniobacterales];f__[Chthoniobacteraceae];g__DA101;s__ +2253167 k__Bacteria;p__Proteobacteria;c__;o__;f__;g__;s__ +225377 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +225398 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +225453 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Alteromonadales;f__Alteromonadaceae;g__Cellvibrio;s__ +225485 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Gaiellales;f__Gaiellaceae;g__;s__ +225522 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +225556 k__Bacteria;p__AD3;c__ABS-6;o__;f__;g__;s__ +225631 k__Bacteria;p__TM6;c__SJA-4;o__S1198;f__;g__;s__ +225632 k__Bacteria;p__Verrucomicrobia;c__[Pedosphaerae];o__[Pedosphaerales];f__Ellin515;g__;s__ +225633 k__Bacteria;p__Verrucomicrobia;c__[Spartobacteria];o__[Chthoniobacterales];f__[Chthoniobacteraceae];g__DA101;s__ +225714 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__;g__;s__ +225788 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__;f__;g__;s__ +2258410 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +2258522 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ +225856 k__Bacteria;p__Elusimicrobia;c__Elusimicrobia;o__Elusimicrobiales;f__;g__;s__ +225889 k__Bacteria;p__Bacteroidetes;c__Sphingobacteriia;o__Sphingobacteriales;f__Sphingobacteriaceae;g__;s__ +225920 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__SC-I-84;f__;g__;s__ +225930 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__MND1;f__;g__;s__ +2259380 k__Bacteria;p__Bacteroidetes;c__Sphingobacteriia;o__Sphingobacteriales;f__;g__;s__ +226012 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__;s__ +226026 k__Bacteria;p__Chloroflexi;c__Ktedonobacteria;o__Thermogemmatisporales;f__Thermogemmatisporaceae;g__;s__ +226082 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__;f__;g__;s__ +226240 k__Bacteria;p__Verrucomicrobia;c__Opitutae;o__Opitutales;f__Opitutaceae;g__;s__ +226283 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Caulobacterales;f__Caulobacteraceae;g__;s__ +226288 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +226312 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Acetobacteraceae;g__;s__ +2263183 k__Bacteria;p__Firmicutes;c__Clostridia;o__Clostridiales;f__Clostridiaceae;g__Clostridium;s__ +226369 k__Bacteria;p__Verrucomicrobia;c__[Spartobacteria];o__[Chthoniobacterales];f__[Chthoniobacteraceae];g__DA101;s__ +226377 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Desulfuromonadales;f__Geobacteraceae;g__Geobacter;s__ +226395 k__Bacteria;p__Actinobacteria;c__Acidimicrobiia;o__Acidimicrobiales;f__;g__;s__ +226410 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__MIZ46;f__;g__;s__ +226506 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__;s__ +226530 k__Bacteria;p__Acidobacteria;c__iii1-8;o__DS-18;f__;g__;s__ +226599 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__;g__;s__ +226697 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__;s__ +226718 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Ellin6067;f__;g__;s__ +226726 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__;s__ +226762 k__Bacteria;p__Actinobacteria;c__MB-A2-108;o__0319-7L14;f__;g__;s__ +226846 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__ +226906 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__Methylibium;s__ +226979 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__A21b;f__UD5;g__;s__ +2269944 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Paenibacillaceae;g__Paenibacillus;s__ +227002 k__Bacteria;p__Gemmatimonadetes;c__Gemm-3;o__;f__;g__;s__ +227011 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__Candidatus Koribacter;s__ +227064 k__Bacteria;p__Verrucomicrobia;c__[Spartobacteria];o__[Chthoniobacterales];f__[Chthoniobacteraceae];g__DA101;s__ +227109 k__Bacteria;p__TM7;c__TM7-1;o__;f__;g__;s__ +227133 k__Bacteria;p__Bacteroidetes;c__Sphingobacteriia;o__Sphingobacteriales;f__Sphingobacteriaceae;g__;s__ +227239 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__;s__ +227269 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__SC-I-84;f__;g__;s__ +227299 k__Bacteria;p__Gemmatimonadetes;c__Gemmatimonadetes;o__Ellin5290;f__;g__;s__ +227319 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__;s__ +227320 k__Bacteria;p__Planctomycetes;c__Phycisphaerae;o__WD2101;f__;g__;s__ +227450 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Bdellovibrionales;f__Bdellovibrionaceae;g__;s__ +228029 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__Comamonas;s__ +228545 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Legionellales;f__Legionellaceae;g__Legionella;s__ +2285453 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Acidobacteriaceae;g__;s__ +228936 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__;g__;s__ +228981 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__Rhodoferax;s__ +2294362 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Kaistobacter;s__ +229705 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__MND1;f__;g__;s__ +229803 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +2300392 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Bradyrhizobiaceae;g__Balneimonas;s__ +230249 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Legionellales;f__Legionellaceae;g__;s__ +230396 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Acetobacteraceae;g__;s__ +230476 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Legionellales;f__Coxiellaceae;g__Aquicella;s__ +2307137 k__Bacteria;p__Cyanobacteria;c__Chloroplast;o__Streptophyta;f__;g__;s__ +230801 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__Methylibium;s__ +2313705 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__;s__ +231395 k__Bacteria;p__Chloroflexi;c__TK10;o__;f__;g__;s__ +231447 k__Bacteria;p__Verrucomicrobia;c__Opitutae;o__Opitutales;f__Opitutaceae;g__Opitutus;s__ +2316426 k__Bacteria;p__Verrucomicrobia;c__[Spartobacteria];o__[Chthoniobacterales];f__[Chthoniobacteraceae];g__DA101;s__ +231965 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Caulobacterales;f__Caulobacteraceae;g__;s__ +231977 k__Bacteria;p__Bacteroidetes;c__Sphingobacteriia;o__Sphingobacteriales;f__;g__;s__ +23209 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +232270 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__;f__;g__;s__ +232282 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__;s__ +2324042 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__;s__ +2326552 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Oxalobacteraceae;g__;s__ +2329278 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__;s__ +2332714 k__Bacteria;p__Bacteroidetes;c__Sphingobacteriia;o__Sphingobacteriales;f__Sphingobacteriaceae;g__;s__ +2336242 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__;s__ +2336672 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Streptomycetaceae;g__;s__ +233724 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rickettsiales;f__;g__;s__ +233794 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Legionellales;f__Legionellaceae;g__;s__ +2338946 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__;f__;g__;s__ +233959 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__MND1;f__;g__;s__ +233990 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Gaiellales;f__Gaiellaceae;g__;s__ +2340297 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +234053 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Ellin6067;f__;g__;s__ +2341996 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +234394 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +2344719 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__;s__ +2345806 k__Bacteria;p__Cyanobacteria;c__Chloroplast;o__Stramenopiles;f__;g__;s__ +2352981 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +2353709 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Oxalobacteraceae;g__Janthinobacterium;s__ +2353837 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__Flavisolibacter;s__ +235525 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__Candidatus Koribacter;s__ +235541 k__Bacteria;p__Verrucomicrobia;c__[Pedosphaerae];o__[Pedosphaerales];f__;g__;s__ +235594 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__;g__;s__ +235634 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Sinobacteraceae;g__;s__ +235666 k__Bacteria;p__Actinobacteria;c__Acidimicrobiia;o__Acidimicrobiales;f__;g__;s__ +2357378 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__Segetibacter;s__ +235789 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ +235795 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__MIZ46;f__;g__;s__ +235806 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__;g__;s__ +235834 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Streptomycetaceae;g__Streptomyces;s__ +235848 k__Bacteria;p__Verrucomicrobia;c__[Spartobacteria];o__[Chthoniobacterales];f__[Chthoniobacteraceae];g__DA101;s__ +235854 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +235943 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Solirubrobacterales;f__Solirubrobacteraceae;g__;s__ +236087 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Procabacteriales;f__Procabacteriaceae;g__;s__ +236204 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Oxalobacteraceae;g__;s__ +236215 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__A21b;f__EB1003;g__;s__ +2362284 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__;g__;s__ +236255 k__Bacteria;p__Verrucomicrobia;c__[Spartobacteria];o__[Chthoniobacterales];f__[Chthoniobacteraceae];g__DA101;s__ +236367 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__SC-I-84;f__;g__;s__ +236377 k__Bacteria;p__Chloroflexi;c__TK10;o__B07_WMSP1;f__FFCH4570;g__;s__ +236435 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Rhodocyclales;f__Rhodocyclaceae;g__;s__ +236458 k__Bacteria;p__Verrucomicrobia;c__[Spartobacteria];o__[Chthoniobacterales];f__[Chthoniobacteraceae];g__;s__ +2364698 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__;s__ +236583 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Solirubrobacterales;f__;g__;s__ +236596 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Solirubrobacterales;f__;g__;s__ +236676 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Ellin329;f__;g__;s__ +236694 k__Bacteria;p__Verrucomicrobia;c__Verrucomicrobiae;o__Verrucomicrobiales;f__Verrucomicrobiaceae;g__;s__ +236776 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +236797 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__;s__ +236952 k__Bacteria;p__Bacteroidetes;c__Sphingobacteriia;o__Sphingobacteriales;f__Sphingobacteriaceae;g__;s__ +236969 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__PB19;f__;g__;s__ +236991 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__;s__ +237058 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__;g__;s__ +237073 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__;s__ +237085 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__;s__ +237139 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Gaiellales;f__Gaiellaceae;g__;s__ +237206 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__;g__;s__ +237284 k__Bacteria;p__Acidobacteria;c__iii1-8;o__DS-18;f__;g__;s__ +237286 k__Bacteria;p__Nitrospirae;c__Nitrospira;o__Nitrospirales;f__0319-6A21;g__;s__ +237290 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Legionellales;f__Coxiellaceae;g__Aquicella;s__ +237330 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__;f__;g__;s__ +237338 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Acidobacteriaceae;g__;s__ +237357 k__Bacteria;p__Actinobacteria;c__Rubrobacteria;o__Rubrobacterales;f__Rubrobacteraceae;g__Rubrobacter;s__ +237482 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Gaiellales;f__Gaiellaceae;g__;s__ +237492 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Rhodobiaceae;g__Afifella;s__ +237538 k__Bacteria;p__TM6;c__SJA-4;o__;f__;g__;s__ +237539 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__;s__ +237546 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__;s__ +2375689 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ +237595 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ +237613 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Sphingomonas;s__wittichii +2376255 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Nocardioidaceae;g__;s__ +237703 k__Bacteria;p__Actinobacteria;c__Acidimicrobiia;o__Acidimicrobiales;f__EB1017;g__;s__ +237898 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Microbacteriaceae;g__Agromyces;s__ +237992 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__;f__;g__;s__ +238020 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__Ellin6075;g__;s__ +238033 k__Bacteria;p__Bacteroidetes;c__Sphingobacteriia;o__Sphingobacteriales;f__Sphingobacteriaceae;g__;s__ +238109 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__Polaromonas;s__ +2381787 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__PAUC26f;g__;s__ +238280 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Solirubrobacterales;f__;g__;s__ +238390 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__;s__ +238426 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__SC-I-84;f__;g__;s__ +238448 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +238596 k__Bacteria;p__Bacteroidetes;c__Sphingobacteriia;o__Sphingobacteriales;f__;g__;s__ +238670 k__Bacteria;p__Acidobacteria;c__iii1-8;o__DS-18;f__;g__;s__ +238689 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__;f__;g__;s__ +238700 k__Bacteria;p__Actinobacteria;c__Rubrobacteria;o__Rubrobacterales;f__Rubrobacteraceae;g__Rubrobacter;s__ +238800 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Micrococcales;f__;g__;s__ +238801 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__Candidatus Koribacter;s__ +238813 k__Bacteria;p__Firmicutes;c__Clostridia;o__Clostridiales;f__Peptococcaceae;g__Desulfosporosinus;s__meridiei +238848 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__;g__;s__ +238881 k__Bacteria;p__Armatimonadetes;c__Chthonomonadetes;o__SJA-22;f__;g__;s__ +238914 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__Ellin6075;g__;s__ +2391398 k__Bacteria;p__Verrucomicrobia;c__[Spartobacteria];o__[Chthoniobacterales];f__[Chthoniobacteraceae];g__Ellin506;s__ +239159 k__Bacteria;p__Verrucomicrobia;c__[Pedosphaerae];o__[Pedosphaerales];f__;g__;s__ +239185 k__Bacteria;p__Bacteroidetes;c__Sphingobacteriia;o__Sphingobacteriales;f__;g__;s__ +239300 k__Bacteria;p__Chloroflexi;c__TK17;o__mle1-48;f__;g__;s__ +239344 k__Bacteria;p__Acidobacteria;c__DA052;o__Ellin6513;f__;g__;s__ +239396 k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__;s__ +239437 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Gaiellales;f__Gaiellaceae;g__;s__ +239492 k__Bacteria;p__Elusimicrobia;c__Elusimicrobia;o__FAC88;f__;g__;s__ +239537 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Hyphomicrobium;s__ +239581 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__Haliangiaceae;g__;s__ +239594 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__;s__ +239600 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__;g__;s__ +239649 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Acidobacteriaceae;g__Granulicella;s__paludicola +239656 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__;s__ +239739 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Nocardioidaceae;g__;s__ +239787 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Acidobacteriaceae;g__;s__ +239844 k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__;s__ +239940 k__Bacteria;p__Chlorobi;c__OPB56;o__;f__;g__;s__ +239967 k__Bacteria;p__MVP-21;c__;o__;f__;g__;s__ +240006 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__;s__ +240032 k__Bacteria;p__Bacteroidetes;c__Flavobacteriia;o__Flavobacteriales;f__Flavobacteriaceae;g__Flavobacterium;s__ +240045 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__Haliangiaceae;g__;s__ +240087 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__;s__ +240137 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Solirubrobacterales;f__Solirubrobacteraceae;g__;s__ +240173 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__;s__ +240236 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__;s__ +240252 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Acetobacteraceae;g__Acidocella;s__ +240293 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Syntrophobacterales;f__Syntrophobacteraceae;g__;s__ +240295 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ +240333 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__;g__;s__ +240388 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Gaiellales;f__Gaiellaceae;g__;s__ +24040 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Acidobacteriaceae;g__;s__ +240452 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Ellin6067;f__;g__;s__ +2405593 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__CCU21;f__;g__;s__ +2406106 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__;g__;s__ +24063 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Phyllobacteriaceae;g__Phyllobacterium;s__ +240650 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__;g__;s__ +240715 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Solirubrobacterales;f__;g__;s__ +240744 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__;g__;s__ +240752 k__Bacteria;p__Acidobacteria;c__TM1;o__;f__;g__;s__ +240809 k__Bacteria;p__Verrucomicrobia;c__[Spartobacteria];o__[Chthoniobacterales];f__[Chthoniobacteraceae];g__DA101;s__ +240866 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__;s__ +240881 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Gaiellales;f__Gaiellaceae;g__;s__ +2410340 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodobacterales;f__Hyphomonadaceae;g__;s__ +241049 k__Bacteria;p__WS3;c__PRR-12;o__Sediment-1;f__;g__;s__ +241078 k__Bacteria;p__Nitrospirae;c__Nitrospira;o__Nitrospirales;f__0319-6A21;g__;s__ +241113 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Paenibacillaceae;g__Paenibacillus;s__ +241123 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +2411393 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__;s__ +241193 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Beijerinckiaceae;g__;s__ +241283 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Alcaligenaceae;g__;s__ +241289 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Xanthomonadaceae;g__Luteibacter;s__rhizovicinus +241292 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__;s__ +241315 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ +241435 k__Bacteria;p__Acidobacteria;c__Sva0725;o__Sva0725;f__;g__;s__ +2414737 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__Flavisolibacter;s__ +241541 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Bogoriellaceae;g__Georgenia;s__ +2416609 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__;s__ +241718 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__;g__;s__ +241823 k__Bacteria;p__Planctomycetes;c__Phycisphaerae;o__Phycisphaerales;f__;g__;s__ +241889 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__;g__;s__ +241899 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Frankiaceae;g__;s__ +2419585 k__Bacteria;p__Actinobacteria;c__Acidimicrobiia;o__Acidimicrobiales;f__Iamiaceae;g__Iamia;s__ +242006 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Gaiellales;f__Gaiellaceae;g__;s__ +242156 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Rhodocyclales;f__Rhodocyclaceae;g__Dok59;s__ +242266 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +242324 k__Bacteria;p__Nitrospirae;c__Nitrospira;o__Nitrospirales;f__FW;g__4-29;s__ +242467 k__Bacteria;p__Acidobacteria;c__DA052;o__Ellin6513;f__;g__;s__ +242534 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__;g__;s__ +242598 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__;f__;g__;s__ +242612 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__MND1;f__;g__;s__ +2426359 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +242737 k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__;s__ +2427929 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Bradyrhizobiaceae;g__;s__ +242829 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Caulobacterales;f__Caulobacteraceae;g__Phenylobacterium;s__ +2429421 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__;g__;s__ +243118 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__Flavisolibacter;s__ +243166 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__;g__;s__ +243181 k__Bacteria;p__Acidobacteria;c__Acidobacteria-5;o__;f__;g__;s__ +243283 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__[Entotheonellales];f__[Entotheonellaceae];g__;s__ +243349 k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__;s__ +243353 k__Bacteria;p__Verrucomicrobia;c__[Spartobacteria];o__[Chthoniobacterales];f__[Chthoniobacteraceae];g__DA101;s__ +243500 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Burkholderiaceae;g__Salinispora;s__ +243579 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Gaiellales;f__Gaiellaceae;g__;s__ +243632 k__Bacteria;p__Actinobacteria;c__MB-A2-108;o__0319-7L14;f__;g__;s__ +243709 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Devosia;s__ +243785 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Pseudonocardiaceae;g__Amycolatopsis;s__ +243829 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Rhizobiaceae;g__Agrobacterium;s__ +243855 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__[Entotheonellales];f__[Entotheonellaceae];g__;s__ +243871 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__;f__;g__;s__ +243954 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Erythrobacteraceae;g__;s__ +243964 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__;g__;s__ +244091 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Syntrophobacterales;f__Syntrophobacteraceae;g__;s__ +244188 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__MIZ46;f__;g__;s__ +244241 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__;s__ +244255 k__Bacteria;p__Verrucomicrobia;c__[Pedosphaerae];o__[Pedosphaerales];f__Ellin517;g__;s__ +2442916 k__Bacteria;p__Actinobacteria;c__Acidimicrobiia;o__Acidimicrobiales;f__;g__;s__ +244310 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ +244336 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Paenibacillaceae;g__Paenibacillus;s__ +244388 k__Bacteria;p__Actinobacteria;c__Acidimicrobiia;o__Acidimicrobiales;f__C111;g__;s__ +244494 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Pseudonocardiaceae;g__Pseudonocardia;s__ +2445057 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ +244657 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Bradyrhizobiaceae;g__;s__ +244727 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__;s__ +244992 k__Bacteria;p__Actinobacteria;c__Acidimicrobiia;o__Acidimicrobiales;f__C111;g__;s__ +244994 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__;s__ +245188 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +245273 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__;s__ +245302 k__Bacteria;p__TM7;c__TM7-3;o__I025;f__;g__;s__ +245345 k__Bacteria;p__Bacteroidetes;c__Sphingobacteriia;o__Sphingobacteriales;f__;g__;s__ +2453568 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__PK29;f__;g__;s__ +245652 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +245687 k__Bacteria;p__Chloroflexi;c__Anaerolineae;o__SBR1031;f__A4b;g__;s__ +245720 k__Bacteria;p__Acidobacteria;c__iii1-8;o__DS-18;f__;g__;s__ +2458157 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__Flavisolibacter;s__ +245895 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +245937 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Thermomonosporaceae;g__;s__ +246068 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__;s__ +246078 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Mycobacteriaceae;g__Mycobacterium;s__ +246214 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Bradyrhizobiaceae;g__;s__ +246217 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Acetobacteraceae;g__;s__ +246243 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +246248 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__Candidatus Koribacter;s__ +246387 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Gaiellales;f__Gaiellaceae;g__;s__ +246404 k__Bacteria;p__Actinobacteria;c__Acidimicrobiia;o__Acidimicrobiales;f__C111;g__;s__ +246446 k__Bacteria;p__Cyanobacteria;c__4C0d-2;o__MLE1-12;f__;g__;s__ +246503 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Syntrophobacterales;f__Syntrophobacteraceae;g__;s__ +246636 k__Bacteria;p__Elusimicrobia;c__Elusimicrobia;o__FAC88;f__;g__;s__ +246763 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Paenibacillaceae;g__Paenibacillus;s__chondroitinus +246829 k__Bacteria;p__Gemmatimonadetes;c__Gemm-2;o__;f__;g__;s__ +2468881 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Pseudomonadales;f__Moraxellaceae;g__;s__ +246952 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +247009 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Planococcaceae;g__;s__ +247010 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__;g__;s__ +247022 k__Bacteria;p__Actinobacteria;c__MB-A2-108;o__0319-7L14;f__;g__;s__ +247024 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__;g__;s__ +247080 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Legionellales;f__Coxiellaceae;g__Aquicella;s__ +2471299 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__;s__ +247169 k__Bacteria;p__Planctomycetes;c__Phycisphaerae;o__WD2101;f__;g__;s__ +247301 k__Bacteria;p__Planctomycetes;c__Phycisphaerae;o__Phycisphaerales;f__;g__;s__ +2474239 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Erythrobacteraceae;g__;s__ +247439 k__Bacteria;p__Armatimonadetes;c__Armatimonadia;o__Armatimonadales;f__Armatimonadaceae;g__;s__ +247445 k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__;s__ +247493 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Acidobacteriaceae;g__;s__ +247509 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Kaistobacter;s__ +247550 k__Bacteria;p__GN04;c__;o__;f__;g__;s__ +247758 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Nocardioidaceae;g__Kribbella;s__ +2477589 k__Bacteria;p__Spirochaetes;c__Spirochaetes;o__Spirochaetales;f__Spirochaetaceae;g__;s__ +247794 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__;s__ +247867 k__Bacteria;p__Planctomycetes;c__Phycisphaerae;o__WD2101;f__;g__;s__ +247980 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Sinobacteraceae;g__;s__ +248002 k__Bacteria;p__Gemmatimonadetes;c__Gemmatimonadetes;o__C114;f__;g__;s__ +248016 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__[Marinicellales];f__[Marinicellaceae];g__;s__ +248032 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ +248066 k__Bacteria;p__Verrucomicrobia;c__[Pedosphaerae];o__[Pedosphaerales];f__;g__;s__ +248117 k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__;s__ +248170 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Micrococcales;f__;g__;s__ +248199 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__Flavisolibacter;s__ +248296 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__;s__ +248337 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Beijerinckiaceae;g__;s__ +248363 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +248375 k__Bacteria;p__Actinobacteria;c__MB-A2-108;o__;f__;g__;s__ +248395 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Caulobacterales;f__Caulobacteraceae;g__Caulobacter;s__ +248456 k__Bacteria;p__Verrucomicrobia;c__[Spartobacteria];o__[Chthoniobacterales];f__[Chthoniobacteraceae];g__OR-59;s__ +248553 k__Bacteria;p__Acidobacteria;c__S035;o__;f__;g__;s__ +248591 k__Bacteria;p__Bacteroidetes;c__Flavobacteriia;o__Flavobacteriales;f__Flavobacteriaceae;g__Flavobacterium;s__ +248618 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ +248801 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Geodermatophilaceae;g__;s__ +248813 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Syntrophobacterales;f__Syntrophobacteraceae;g__;s__ +248831 k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__Hymenobacter;s__ +248835 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__Myxococcaceae;g__Anaeromyxobacter;s__ +24886 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Beijerinckiaceae;g__;s__ +249034 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__;f__;g__;s__ +249066 k__Bacteria;p__Elusimicrobia;c__Elusimicrobia;o__FAC88;f__;g__;s__ +249105 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Gaiellales;f__Gaiellaceae;g__;s__ +249138 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__;g__;s__ +249216 k__Bacteria;p__Cyanobacteria;c__Synechococcophycideae;o__Pseudanabaenales;f__Pseudanabaenaceae;g__Leptolyngbya;s__ +249280 k__Bacteria;p__Gemmatimonadetes;c__Gemm-1;o__;f__;g__;s__ +249385 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Kaistobacter;s__ +249391 k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__Adhaeribacter;s__ +249496 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__;s__ +249598 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__DS-100;f__;g__;s__ +249749 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Syntrophobacterales;f__Syntrophobacteraceae;g__;s__ +249753 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__;g__;s__ +249773 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Gaiellales;f__Gaiellaceae;g__;s__ +249778 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Acetobacteraceae;g__;s__ +249831 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Bradyrhizobiaceae;g__Bradyrhizobium;s__ +2500552 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Beutenbergiaceae;g__Beutenbergia;s__cavernae +250116 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__[Exiguobacteraceae];g__Exiguobacterium;s__ +250187 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Legionellales;f__;g__;s__ +250230 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__;g__;s__ +250253 k__Bacteria;p__Verrucomicrobia;c__[Pedosphaerae];o__[Pedosphaerales];f__;g__;s__ +250264 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Solirubrobacterales;f__;g__;s__ +250268 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Gaiellales;f__Gaiellaceae;g__;s__ +250278 k__Bacteria;p__Elusimicrobia;c__Elusimicrobia;o__FAC88;f__;g__;s__ +250291 k__Bacteria;p__Planctomycetes;c__Phycisphaerae;o__WD2101;f__;g__;s__ +250298 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Micromonosporaceae;g__Catellatospora;s__ +250313 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__;g__;s__ +250348 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__;s__ +250442 k__Bacteria;p__Chloroflexi;c__Ktedonobacteria;o__Thermogemmatisporales;f__Thermogemmatisporaceae;g__;s__ +250522 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__;f__;g__;s__ +2505304 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Ellin329;f__;g__;s__ +250533 k__Bacteria;p__Acidobacteria;c__Acidobacteria-5;o__;f__;g__;s__ +250572 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Micromonosporaceae;g__Actinoplanes;s__ +250637 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Solirubrobacterales;f__Patulibacteraceae;g__;s__ +250674 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__Candidatus Koribacter;s__ +250722 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__ +250724 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Streptomycetaceae;g__;s__ +250794 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Acidobacteriaceae;g__Terriglobus;s__ +250967 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__;g__;s__ +251050 k__Bacteria;p__TM7;c__TM7-1;o__;f__;g__;s__ +251145 k__Bacteria;p__Chloroflexi;c__Chloroflexi;o__Chloroflexales;f__FFCH7168;g__;s__ +251255 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__;g__;s__ +251263 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Oxalobacteraceae;g__;s__ +251368 k__Bacteria;p__Gemmatimonadetes;c__Gemm-5;o__;f__;g__;s__ +251580 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__;s__ +251636 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Legionellales;f__Coxiellaceae;g__;s__ +251664 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Legionellales;f__Coxiellaceae;g__;s__ +251884 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +251983 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Paenibacillaceae;g__Paenibacillus;s__chondroitinus +252003 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Legionellales;f__;g__;s__ +252012 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Sinobacteraceae;g__;s__ +2522317 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Legionellales;f__Coxiellaceae;g__;s__ +252249 k__Bacteria;p__Acidobacteria;c__;o__;f__;g__;s__ +252378 k__Bacteria;p__Gemmatimonadetes;c__Gemm-5;o__;f__;g__;s__ +2524288 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ +252542 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Planococcaceae;g__Sporosarcina;s__ +252547 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__Myxococcaceae;g__Myxococcus;s__ +2525736 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__Flavisolibacter;s__ +2526440 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Planococcaceae;g__Solibacillus;s__ +2526712 k__Bacteria;p__Cyanobacteria;c__;o__;f__;g__;s__ +252702 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__;s__ +252723 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Streptomycetaceae;g__Streptomyces;s__ +2527277 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Streptomycetaceae;g__Streptomyces;s__ +252821 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__;g__;s__ +252822 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Rhizobiaceae;g__Agrobacterium;s__ +252845 k__Bacteria;p__AD3;c__JG37-AG-4;o__;f__;g__;s__ +2529285 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Enterobacteriales;f__Enterobacteriaceae;g__Enterobacter;s__ludwigii +252974 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__;s__ +252995 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__;s__ +253010 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__;s__ +253155 k__Bacteria;p__WS3;c__PRR-12;o__Sediment-1;f__;g__;s__ +253296 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Gaiellales;f__;g__;s__ +253356 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Paenibacillaceae;g__Brevibacillus;s__ +253483 k__Bacteria;p__Actinobacteria;c__Rubrobacteria;o__Rubrobacterales;f__Rubrobacteraceae;g__;s__ +253507 k__Bacteria;p__Verrucomicrobia;c__[Spartobacteria];o__[Chthoniobacterales];f__[Chthoniobacteraceae];g__DA101;s__ +253515 k__Bacteria;p__Chloroflexi;c__SAR202;o__;f__;g__;s__ +253524 k__Bacteria;p__Gemmatimonadetes;c__Gemm-1;o__;f__;g__;s__ +253615 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Gaiellales;f__Gaiellaceae;g__;s__ +253622 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Gaiellales;f__Gaiellaceae;g__;s__ +253630 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__MND1;f__;g__;s__ +253754 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__;g__;s__ +253814 k__Bacteria;p__Bacteroidetes;c__Flavobacteriia;o__Flavobacteriales;f__Flavobacteriaceae;g__Flavobacterium;s__ +253908 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +253948 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__SC-I-84;f__;g__;s__ +254002 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +254031 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Burkholderiaceae;g__Burkholderia;s__ +254098 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__;f__;g__;s__ +254103 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Gaiellales;f__Gaiellaceae;g__;s__ +254115 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__;g__;s__ +254133 k__Bacteria;p__Armatimonadetes;c__0319-6E2;o__;f__;g__;s__ +254143 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__;s__ +254169 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Xanthomonadaceae;g__;s__ +2542324 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rickettsiales;f__mitochondria;g__Anomodon;s__rugelii +254245 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +254256 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +254346 k__Bacteria;p__Actinobacteria;c__Rubrobacteria;o__Rubrobacterales;f__Rubrobacteraceae;g__;s__ +254371 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Gaiellales;f__Gaiellaceae;g__;s__ +254401 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Caulobacterales;f__Caulobacteraceae;g__Phenylobacterium;s__ +254530 k__Bacteria;p__Verrucomicrobia;c__[Spartobacteria];o__[Chthoniobacterales];f__[Chthoniobacteraceae];g__DA101;s__ +2545365 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Bradyrhizobiaceae;g__;s__ +254580 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__ +254610 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Sporichthyaceae;g__;s__ +254634 k__Bacteria;p__Acidobacteria;c__S035;o__;f__;g__;s__ +254635 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Frankiaceae;g__;s__ +254650 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Devosia;s__ +254670 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__[Entotheonellales];f__[Entotheonellaceae];g__;s__ +254690 k__Bacteria;p__Verrucomicrobia;c__[Pedosphaerae];o__[Pedosphaerales];f__OPB35;g__;s__ +254728 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +254790 k__Bacteria;p__BRC1;c__PRR-11;o__;f__;g__;s__ +254845 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Xanthomonadaceae;g__;s__ +254852 k__Bacteria;p__Acidobacteria;c__TM1;o__;f__;g__;s__ +254922 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Acetobacteraceae;g__Acidocella;s__ +254949 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__;g__;s__ +255018 k__Bacteria;p__Actinobacteria;c__Rubrobacteria;o__Rubrobacterales;f__Rubrobacteraceae;g__Rubrobacter;s__ +255128 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Gaiellales;f__Gaiellaceae;g__;s__ +255161 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Staphylococcaceae;g__Staphylococcus;s__ +255186 k__Bacteria;p__Acidobacteria;c__DA052;o__Ellin6513;f__;g__;s__ +2551965 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +255255 k__Bacteria;p__Chlorobi;c__;o__;f__;g__;s__ +255281 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Desulfuromonadales;f__Geobacteraceae;g__Geobacter;s__ +255448 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +255470 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +2557604 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Devosia;s__ +255794 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__11-24;f__;g__;s__ +255811 k__Bacteria;p__Chloroflexi;c__Chloroflexi;o__[Roseiflexales];f__[Kouleothrixaceae];g__Kouleothrix;s__ +255859 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Solirubrobacterales;f__;g__;s__ +256046 k__Bacteria;p__Bacteroidetes;c__Flavobacteriia;o__Flavobacteriales;f__Flavobacteriaceae;g__Flavobacterium;s__ +256121 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Oxalobacteraceae;g__;s__ +256132 k__Bacteria;p__Chloroflexi;c__Chloroflexi;o__[Roseiflexales];f__;g__;s__ +256173 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Micrococcaceae;g__;s__ +256241 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__;g__;s__ +256335 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ +256432 k__Bacteria;p__Elusimicrobia;c__Elusimicrobia;o__FAC88;f__;g__;s__ +256447 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Bradyrhizobiaceae;g__;s__ +256454 k__Bacteria;p__Bacteroidetes;c__Flavobacteriia;o__Flavobacteriales;f__Cryomorphaceae;g__;s__ +256527 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Rhizobiaceae;g__Shinella;s__ +256536 k__Bacteria;p__Acidobacteria;c__DA052;o__Ellin6513;f__;g__;s__ +256569 k__Bacteria;p__Chlorobi;c__;o__;f__;g__;s__ +256678 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Micromonosporaceae;g__Virgisporangium;s__ochraceum +256803 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Xanthomonadaceae;g__;s__ +256879 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__;f__;g__;s__ +257008 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +257039 k__Bacteria;p__Acidobacteria;c__DA052;o__Ellin6513;f__;g__;s__ +257077 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__;g__;s__ +257150 k__Bacteria;p__Actinobacteria;c__Acidimicrobiia;o__Acidimicrobiales;f__;g__;s__ +257224 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Gaiellales;f__Gaiellaceae;g__;s__ +257321 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Gaiellales;f__Gaiellaceae;g__;s__ +257461 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +257602 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__Segetibacter;s__ +257611 k__Bacteria;p__Actinobacteria;c__Acidimicrobiia;o__Acidimicrobiales;f__EB1017;g__;s__ +257647 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +257685 k__Bacteria;p__Chloroflexi;c__Ktedonobacteria;o__Thermogemmatisporales;f__Thermogemmatisporaceae;g__;s__ +257807 k__Bacteria;p__Actinobacteria;c__Rubrobacteria;o__Rubrobacterales;f__Rubrobacteraceae;g__Rubrobacter;s__ +2578357 k__Bacteria;p__Acidobacteria;c__DA052;o__Ellin6513;f__;g__;s__ +257891 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Ellin329;f__;g__;s__ +257902 k__Bacteria;p__NC10;c__12-24;o__JH-WHS47;f__;g__;s__ +2579213 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__;s__ +2579227 k__Bacteria;p__Armatimonadetes;c__0319-6E2;o__;f__;g__;s__ +2579228 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__ +2579229 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__ +2579230 k__Bacteria;p__Actinobacteria;c__Rubrobacteria;o__Rubrobacterales;f__Rubrobacteraceae;g__Rubrobacter;s__ +2579234 k__Bacteria;p__Actinobacteria;c__Rubrobacteria;o__Rubrobacterales;f__Rubrobacteraceae;g__Rubrobacter;s__ +258161 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Pseudonocardiaceae;g__;s__ +258187 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Alicyclobacillaceae;g__Alicyclobacillus;s__ +2582263 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Enterobacteriales;f__Enterobacteriaceae;g__;s__ +2584634 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__Candidatus Koribacter;s__ +25853 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Micrococcaceae;g__;s__ +259049 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__Magnetospirillum;s__ +259094 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Frankiaceae;g__Kaistibacter;s__ginsenosidimutans +2598700 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +2601820 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +2601842 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +2606068 k__Bacteria;p__TM7;c__TM7-1;o__;f__;g__;s__ +2606073 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Oxalobacteraceae;g__;s__ +260618 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Paenibacillaceae;g__Paenibacillus;s__alvei +261123 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Microbacteriaceae;g__;s__ +261139 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__ +261182 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Methylobacteriaceae;g__Methylobacterium;s__ +261241 k__Bacteria;p__Firmicutes;c__Bacilli;o__Lactobacillales;f__Carnobacteriaceae;g__Granulicatella;s__ +2616888 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Micromonosporaceae;g__;s__ +2617884 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Xanthomonadaceae;g__;s__ +262096 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Streptosporangiaceae;g__Streptosporangium;s__pseudovulgare +2625114 k__Bacteria;p__Actinobacteria;c__Acidimicrobiia;o__Acidimicrobiales;f__;g__;s__ +262768 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__;s__ +262820 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Micromonosporaceae;g__;s__ +2629538 k__Bacteria;p__Chloroflexi;c__TK10;o__;f__;g__;s__ +263035 k__Bacteria;p__Planctomycetes;c__Pla4;o__;f__;g__;s__ +2631018 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +263122 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Microbacteriaceae;g__;s__ +263519 k__Bacteria;p__Bacteroidetes;c__Flavobacteriia;o__Flavobacteriales;f__Flavobacteriaceae;g__Flavobacterium;s__ +26373 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__Polyangiaceae;g__Sorangium;s__cellulosum +2639729 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Erythrobacteraceae;g__;s__ +264229 k__Bacteria;p__Bacteroidetes;c__Flavobacteriia;o__Flavobacteriales;f__Flavobacteriaceae;g__Flavobacterium;s__succinicans +264748 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__ +2651003 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +2651008 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__;g__;s__ +2651333 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Mycobacteriaceae;g__Mycobacterium;s__ +2651948 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__;s__ +265330 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ +2654188 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Desulfuromonadales;f__Geobacteraceae;g__Geobacter;s__ +265922 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Sphingobium;s__ +265927 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__Limnohabitans;s__ +266040 k__Bacteria;p__Bacteroidetes;c__Flavobacteriia;o__Flavobacteriales;f__Flavobacteriaceae;g__Flavobacterium;s__ +2661154 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Rhodobiaceae;g__Afifella;s__ +2661155 k__Bacteria;p__Armatimonadetes;c__Chthonomonadetes;o__Chthonomonadales;f__Chthonomonadaceae;g__;s__ +266211 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Oxalobacteraceae;g__;s__ +266459 k__Bacteria;p__Cyanobacteria;c__Nostocophycideae;o__Nostocales;f__Nostocaceae;g__;s__ +266510 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Xanthomonadaceae;g__;s__ +266540 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__flexus +266584 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Bradyrhizobiaceae;g__;s__ +2666514 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Legionellales;f__Coxiellaceae;g__Aquicella;s__ +2667189 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Paenibacillaceae;g__Aneurinibacillus;s__ +2669168 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__Nannocystaceae;g__Plesiocystis;s__ +266984 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Legionellales;f__Coxiellaceae;g__Aquicella;s__ +266995 k__Bacteria;p__[Thermi];c__Deinococci;o__Deinococcales;f__Trueperaceae;g__Truepera;s__ +267698 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Actinosynnemataceae;g__Lentzea;s__violacea +267841 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__;g__;s__ +2679706 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Ellin329;f__;g__;s__ +2679840 k__Bacteria;p__Nitrospirae;c__Nitrospira;o__Nitrospirales;f__0319-6A21;g__;s__ +2679841 k__Bacteria;p__WS3;c__PRR-12;o__Sediment-1;f__;g__;s__ +268040 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Streptomycetaceae;g__Streptomyces;s__lanatus +2685271 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Kaistobacter;s__ +2685346 k__Bacteria;p__Bacteroidetes;c__Sphingobacteriia;o__Sphingobacteriales;f__;g__;s__ +2685754 k__Bacteria;p__Gemmatimonadetes;c__Gemmatimonadetes;o__KD8-87;f__;g__;s__ +268600 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__NB1-j;f__NB1-i;g__;s__ +268617 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +268811 k__Bacteria;p__Firmicutes;c__Clostridia;o__Clostridiales;f__Ruminococcaceae;g__;s__ +26897 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Mycobacteriaceae;g__Mycobacterium;s__arupense +269203 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Sphingomonas;s__ +2692410 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Microbacteriaceae;g__Microbacterium;s__ +2693224 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Sphingomonas;s__ +2693227 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Acetobacteraceae;g__;s__ +269376 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodobacterales;f__Rhodobacteraceae;g__;s__ +269875 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__Haliangiaceae;g__;s__ +27005 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +270648 k__Bacteria;p__Acidobacteria;c__S035;o__;f__;g__;s__ +2706695 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ +2708428 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ +271159 k__Bacteria;p__Firmicutes;c__Bacilli;o__Lactobacillales;f__Carnobacteriaceae;g__Granulicatella;s__ +2711951 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Microbacteriaceae;g__Microbacterium;s__ +2714250 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +271943 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__Ramlibacter;s__ +2720386 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__;s__ +2720387 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__OM27;g__;s__ +272393 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Streptomycetaceae;g__Streptomyces;s__ +2725587 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Rhodocyclales;f__Rhodocyclaceae;g__;s__ +272974 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Microbacteriaceae;g__Frigoribacterium;s__ +273185 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Devosia;s__ +2733663 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +2733665 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__;g__;s__ +2739096 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Gaiellales;f__Gaiellaceae;g__;s__ +273949 k__Bacteria;p__Chloroflexi;c__Chloroflexi;o__[Roseiflexales];f__;g__;s__ +274150 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Beijerinckiaceae;g__;s__ +2741780 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Sporichthyaceae;g__;s__ +274308 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Erythrobacteraceae;g__;s__ +27497 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Hyphomicrobium;s__ +275053 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__;g__;s__ +275105 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__;g__;s__ +2751334 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Mycobacteriaceae;g__Mycobacterium;s__ +2753316 k__Bacteria;p__Actinobacteria;c__Acidimicrobiia;o__Acidimicrobiales;f__;g__;s__ +275621 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Paenibacillaceae;g__Paenibacillus;s__ +275701 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Streptomycetaceae;g__Streptomyces;s__scabrisporus +275850 k__Bacteria;p__Verrucomicrobia;c__Verrucomicrobiae;o__Verrucomicrobiales;f__Verrucomicrobiaceae;g__;s__ +275875 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__ +2760484 k__Bacteria;p__Actinobacteria;c__Acidimicrobiia;o__Acidimicrobiales;f__;g__;s__ +2760486 k__Bacteria;p__Elusimicrobia;c__Elusimicrobia;o__Elusimicrobiales;f__;g__;s__ +276133 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Xanthomonadaceae;g__;s__ +2761428 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Xanthomonadaceae;g__;s__ +276290 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__;f__;g__;s__ +276678 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__Acidovorax;s__defluvii +277071 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__;s__ +2771646 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__;s__ +2773831 k__Bacteria;p__Firmicutes;c__Clostridia;o__Clostridiales;f__Clostridiaceae;g__Clostridium;s__ +277521 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__Methylibium;s__ +2775220 k__Bacteria;p__Bacteroidetes;c__Sphingobacteriia;o__Sphingobacteriales;f__;g__;s__ +277727 k__Bacteria;p__Bacteroidetes;c__Sphingobacteriia;o__Sphingobacteriales;f__;g__;s__ +2778368 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Bradyrhizobiaceae;g__;s__ +277980 k__Bacteria;p__TM7;c__TM7-3;o__EW055;f__;g__;s__ +278296 k__Bacteria;p__Cyanobacteria;c__Oscillatoriophycideae;o__Oscillatoriales;f__Phormidiaceae;g__Phormidium;s__ +2783432 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Planococcaceae;g__;s__ +278371 k__Bacteria;p__Cyanobacteria;c__Oscillatoriophycideae;o__Oscillatoriales;f__Phormidiaceae;g__Phormidium;s__ +278390 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +278399 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Devosia;s__ +278433 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Burkholderiaceae;g__Burkholderia;s__ +278495 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ +278511 k__Bacteria;p__Acidobacteria;c__DA052;o__Ellin6513;f__;g__;s__ +278560 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Micrococcaceae;g__;s__ +278565 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Sinobacteraceae;g__;s__ +278687 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__;s__ +278697 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__;g__;s__ +2788503 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__;g__;s__ +2788509 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__OM27;g__;s__ +279074 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Xanthomonadaceae;g__;s__ +279129 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Acidobacteriaceae;g__;s__ +279138 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Sinobacteraceae;g__;s__ +279180 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Legionellales;f__;g__;s__ +279258 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Micrococcaceae;g__;s__ +279297 k__Bacteria;p__Acidobacteria;c__DA052;o__Ellin6513;f__;g__;s__ +279325 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Microbacteriaceae;g__Salinibacterium;s__ +279358 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Caulobacterales;f__Caulobacteraceae;g__Phenylobacterium;s__ +279384 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__;g__;s__ +279390 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__RB40;g__;s__ +279436 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__Ellin6075;g__;s__ +279572 k__Bacteria;p__TM7;c__TM7-1;o__;f__;g__;s__ +279590 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +279613 k__Bacteria;p__Acidobacteria;c__DA052;o__Ellin6513;f__;g__;s__ +279872 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__Ellin6075;g__;s__ +279993 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__SC-I-84;f__;g__;s__ +2800581 k__Bacteria;p__Bacteroidetes;c__Sphingobacteriia;o__Sphingobacteriales;f__Sphingobacteriaceae;g__;s__ +280233 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__;s__ +2802748 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Phyllobacteriaceae;g__Aminobacter;s__ +280281 k__Bacteria;p__Bacteroidetes;c__Sphingobacteriia;o__Sphingobacteriales;f__;g__;s__ +280453 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__;g__;s__ +280545 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +280592 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Micromonosporaceae;g__;s__ +2808550 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +28089 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Micromonosporaceae;g__Actinoplanes;s__ +2815106 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +2815113 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +2815573 k__Bacteria;p__Bacteroidetes;c__Sphingobacteriia;o__Sphingobacteriales;f__;g__;s__ +281593 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__Ellin6075;g__;s__ +282328 k__Bacteria;p__TM7;c__SC3;o__;f__;g__;s__ +282561 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Sphingomonas;s__ +28341 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Mycobacteriaceae;g__Mycobacterium;s__celatum +2834426 k__Bacteria;p__Acidobacteria;c__iii1-8;o__DS-18;f__;g__;s__ +2838672 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Alcaligenaceae;g__;s__ +2838675 k__Bacteria;p__Bacteroidetes;c__Sphingobacteriia;o__Sphingobacteriales;f__;g__;s__ +2841300 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__ +284168 k__Bacteria;p__Verrucomicrobia;c__Opitutae;o__Opitutales;f__Opitutaceae;g__Opitutus;s__ +284171 k__Bacteria;p__Chloroflexi;c__Ellin6529;o__;f__;g__;s__ +284413 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Sinobacteraceae;g__;s__ +284420 k__Bacteria;p__Bacteroidetes;c__Sphingobacteriia;o__Sphingobacteriales;f__Sphingobacteriaceae;g__Pedobacter;s__ +2845471 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Sinobacteraceae;g__Steroidobacter;s__ +284813 k__Bacteria;p__Gemmatimonadetes;c__Gemm-1;o__;f__;g__;s__ +28512 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +285415 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Intrasporangiaceae;g__;s__ +285591 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Solirubrobacterales;f__;g__;s__ +285726 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__;s__ +286227 k__Bacteria;p__Acidobacteria;c__DA052;o__Ellin6513;f__;g__;s__ +2862444 k__Bacteria;p__Firmicutes;c__Clostridia;o__Clostridiales;f__Veillonellaceae;g__Pelosinus;s__ +2863166 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__;g__;s__ +286368 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +286652 k__Bacteria;p__Planctomycetes;c__Phycisphaerae;o__WD2101;f__;g__;s__ +2866802 k__Bacteria;p__TM6;c__SJA-4;o__;f__;g__;s__ +2867525 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ +2867528 k__Bacteria;p__TM7;c__TM7-1;o__;f__;g__;s__ +2867534 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ +2867950 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Sinobacteraceae;g__;s__ +286878 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__;f__;g__;s__ +286919 k__Bacteria;p__Bacteroidetes;c__Bacteroidia;o__Bacteroidales;f__Porphyromonadaceae;g__Paludibacter;s__ +2869502 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__;f__;g__;s__ +2869559 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__MIZ46;f__;g__;s__ +287211 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__;g__;s__ +287558 k__Bacteria;p__Firmicutes;c__Clostridia;o__Clostridiales;f__Clostridiaceae;g__;s__ +287570 k__Bacteria;p__Firmicutes;c__Clostridia;o__Clostridiales;f__Peptostreptococcaceae;g__;s__ +287646 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Oxalobacteraceae;g__Ralstonia;s__ +287776 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__ +288040 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Planococcaceae;g__Sporosarcina;s__ +2880684 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +2881602 k__Bacteria;p__Chloroflexi;c__Anaerolineae;o__envOPS12;f__;g__;s__ +2881877 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__;s__ +288680 k__Bacteria;p__Firmicutes;c__Bacilli;o__Lactobacillales;f__Streptococcaceae;g__Lactococcus;s__ +289047 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Planococcaceae;g__Solibacillus;s__ +289388 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Planococcaceae;g__;s__ +289530 k__Bacteria;p__Chloroflexi;c__Chloroflexi;o__[Roseiflexales];f__[Kouleothrixaceae];g__;s__ +289679 k__Bacteria;p__Firmicutes;c__Clostridia;o__Clostridiales;f__Clostridiaceae;g__;s__ +289883 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__ +289924 k__Bacteria;p__Gemmatimonadetes;c__Gemmatimonadetes;o__Gemmatimonadales;f__;g__;s__ +290401 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +290674 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Planococcaceae;g__;s__ +2907653 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__;s__ +2908903 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__ +2913695 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Xanthomonadaceae;g__;s__ +2914680 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Pasteurellales;f__Pasteurellaceae;g__Haemophilus;s__parainfluenzae +291945 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__;s__ +2920372 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__;f__;g__;s__ +2921823 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +2922076 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__MND1;f__;g__;s__ +2924870 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Enterobacteriales;f__Enterobacteriaceae;g__;s__ +2929709 k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__;g__;s__ +29360 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Acetobacteraceae;g__;s__ +2937841 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__ +2938351 k__Bacteria;p__TM7;c__TM7-3;o__EW055;f__;g__;s__ +2939253 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__Haliangiaceae;g__;s__ +294067 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__Ellin6075;g__;s__ +294313 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__;s__ +2945011 k__Bacteria;p__Chloroflexi;c__Anaerolineae;o__SBR1031;f__A4b;g__;s__ +2946783 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Erythrobacteraceae;g__;s__ +2954724 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Acetobacteraceae;g__;s__ +2954732 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Legionellales;f__Coxiellaceae;g__;s__ +295504 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__ +2955898 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__;f__;g__;s__ +295725 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Mycobacteriaceae;g__Mycobacterium;s__ +296086 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Solirubrobacterales;f__;g__;s__ +2966696 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__;s__ +2967257 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Alteromonadales;f__Alteromonadaceae;g__;s__ +296956 k__Bacteria;p__Armatimonadetes;c__Armatimonadia;o__Armatimonadales;f__Armatimonadaceae;g__;s__ +296964 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Planococcaceae;g__;s__ +296980 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__ +2969888 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Alcaligenaceae;g__;s__ +29704 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__;s__ +2970431 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__;s__ +297143 k__Bacteria;p__Firmicutes;c__Clostridia;o__Clostridiales;f__Peptostreptococcaceae;g__;s__ +2974310 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Pseudonocardiaceae;g__Pseudonocardia;s__ +2979771 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__;g__;s__ +2979800 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Desulfuromonadales;f__Geobacteraceae;g__Geobacter;s__ +29805 k__Bacteria;p__Cyanobacteria;c__Synechococcophycideae;o__Pseudanabaenales;f__Pseudanabaenaceae;g__Leptolyngbya;s__frigida +2984010 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Gaiellales;f__Gaiellaceae;g__;s__ +2984011 k__Bacteria;p__Gemmatimonadetes;c__Gemm-1;o__;f__;g__;s__ +2984013 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Micrococcaceae;g__;s__ +2984015 k__Bacteria;p__Chloroflexi;c__Anaerolineae;o__envOPS12;f__;g__;s__ +2984017 k__Bacteria;p__Gemmatimonadetes;c__Gemm-1;o__;f__;g__;s__ +298853 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Planococcaceae;g__;s__ +29910 k__Bacteria;p__TM6;c__SJA-4;o__;f__;g__;s__ +2996653 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__;g__;s__ +299684 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__;g__;s__ +299883 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Oxalobacteraceae;g__Ralstonia;s__ +300689 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Planococcaceae;g__;s__ +301157 k__Bacteria;p__OP11;c__;o__;f__;g__;s__ +3011885 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__ +3011887 k__Bacteria;p__Actinobacteria;c__Rubrobacteria;o__Rubrobacterales;f__Rubrobacteraceae;g__Rubrobacter;s__ +3017023 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Oxalobacteraceae;g__;s__ +3017908 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Nocardiaceae;g__Rhodococcus;s__ +3018647 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__11-24;f__;g__;s__ +3023198 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__;g__;s__ +3025055 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__;g__;s__ +302530 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__;s__ +302726 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__;s__ +303090 k__Bacteria;p__TM7;c__TM7-3;o__EW055;f__;g__;s__ +3032113 k__Bacteria;p__Nitrospirae;c__Nitrospira;o__Nitrospirales;f__Nitrospiraceae;g__JG37-AG-70;s__ +303273 k__Bacteria;p__Firmicutes;c__Clostridia;o__Clostridiales;f__Peptostreptococcaceae;g__;s__ +30355 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Sphingomonas;s__wittichii +303607 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodobacterales;f__Hyphomonadaceae;g__;s__ +3037115 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__RB40;g__;s__ +303883 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Enterobacteriales;f__Enterobacteriaceae;g__;s__ +303986 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__;s__ +304062 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Oxalobacteraceae;g__;s__ +304212 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__;g__;s__ +3043332 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Pseudonocardiaceae;g__Amycolatopsis;s__ +3046706 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ +3050215 k__Bacteria;p__Bacteroidetes;c__Sphingobacteriia;o__Sphingobacteriales;f__;g__;s__ +305094 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +305167 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +305278 k__Bacteria;p__Bacteroidetes;c__Sphingobacteriia;o__Sphingobacteriales;f__Sphingobacteriaceae;g__Pedobacter;s__xinjiangensis +305400 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +305494 k__Bacteria;p__Firmicutes;c__Clostridia;o__Clostridiales;f__;g__;s__ +305498 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__Haliangiaceae;g__;s__ +305616 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__Haliangiaceae;g__;s__ +305668 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Oxalobacteraceae;g__;s__ +3057707 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Pseudomonadales;f__Moraxellaceae;g__;s__ +305850 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Sinobacteraceae;g__Steroidobacter;s__ +305897 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Nocardioidaceae;g__Kribbella;s__ +305962 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Microbacteriaceae;g__Microbacterium;s__ +3060403 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__ +306074 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Legionellales;f__Legionellaceae;g__;s__ +306133 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ +306436 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Ellin6067;f__;g__;s__ +306532 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__;g__;s__ +306708 k__Bacteria;p__Nitrospirae;c__Nitrospira;o__Nitrospirales;f__0319-6A21;g__;s__ +306710 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Novosphingobium;s__ +3067471 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__;f__;g__;s__ +307150 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__Ramlibacter;s__ +3072386 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__;g__;s__ +3072388 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__;g__;s__ +307622 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__;g__;s__ +3076501 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Streptomycetaceae;g__Streptomyces;s__ +3077248 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Rhodobiaceae;g__Afifella;s__ +3078468 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__;s__ +308017 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +308099 k__Bacteria;p__Armatimonadetes;c__0319-6E2;o__;f__;g__;s__ +308202 k__Bacteria;p__Verrucomicrobia;c__[Pedosphaerae];o__[Pedosphaerales];f__Ellin515;g__;s__ +308502 k__Bacteria;p__Firmicutes;c__Clostridia;o__Clostridiales;f__Peptostreptococcaceae;g__;s__ +308707 k__Bacteria;p__Firmicutes;c__Clostridia;o__Clostridiales;f__Peptostreptococcaceae;g__;s__ +3087737 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__;s__ +3087743 k__Bacteria;p__Chloroflexi;c__Anaerolineae;o__Caldilineales;f__Caldilineaceae;g__;s__ +3087744 k__Bacteria;p__Planctomycetes;c__Planctomycetia;o__Gemmatales;f__Gemmataceae;g__;s__ +308836 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__;s__ +309002 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +3090148 k__Bacteria;p__Bacteroidetes;c__Bacteroidia;o__Bacteroidales;f__;g__;s__ +3093679 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +309422 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__;s__ +3094691 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__;s__ +3095054 k__Bacteria;p__Gemmatimonadetes;c__Gemm-1;o__;f__;g__;s__ +3097632 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Phyllobacteriaceae;g__Defluvibacter;s__ +30983 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Caulobacterales;f__Caulobacteraceae;g__;s__ +310003 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Caulobacterales;f__Caulobacteraceae;g__;s__ +310212 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Rhodobiaceae;g__Afifella;s__ +3106714 k__Bacteria;p__Planctomycetes;c__Phycisphaerae;o__WD2101;f__;g__;s__ +310862 k__Bacteria;p__Gemmatimonadetes;c__Gemm-5;o__;f__;g__;s__ +310925 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Beijerinckiaceae;g__;s__ +311035 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Gaiellales;f__Gaiellaceae;g__;s__ +311118 k__Bacteria;p__Actinobacteria;c__MB-A2-108;o__0319-7L14;f__;g__;s__ +311130 k__Bacteria;p__Chloroflexi;c__Chloroflexi;o__AKIW781;f__;g__;s__ +311250 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +311452 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__A21b;f__EB1003;g__;s__ +311640 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__;g__;s__ +311656 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__Flavisolibacter;s__ +3117367 k__Bacteria;p__Chloroflexi;c__Ktedonobacteria;o__Ktedonobacterales;f__Ktedonobacteraceae;g__;s__ +311763 k__Bacteria;p__Acidobacteria;c__iii1-8;o__32-20;f__;g__;s__ +311942 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Legionellales;f__Legionellaceae;g__;s__ +311991 k__Bacteria;p__Chloroflexi;c__Ktedonobacteria;o__Thermogemmatisporales;f__Thermogemmatisporaceae;g__;s__ +312035 k__Bacteria;p__Cyanobacteria;c__Nostocophycideae;o__Nostocales;f__Nostocaceae;g__Nostoc;s__ +3120500 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Sinobacteraceae;g__Nevskia;s__ +3122801 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__;s__ +3122908 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__11-24;f__;g__;s__ +312328 k__Bacteria;p__Chloroflexi;c__Anaerolineae;o__S0208;f__;g__;s__ +312378 k__Bacteria;p__Elusimicrobia;c__Elusimicrobia;o__FAC88;f__;g__;s__ +3124136 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ +312655 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Ellin329;f__;g__;s__ +312685 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Sphingomonas;s__ +313245 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +313734 k__Bacteria;p__Bacteroidetes;c__Flavobacteriia;o__Flavobacteriales;f__Flavobacteriaceae;g__;s__ +313833 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__Haliangiaceae;g__;s__ +313934 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Novosphingobium;s__ +313946 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Oxalobacteraceae;g__;s__ +3142375 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Gaiellales;f__Gaiellaceae;g__;s__ +314599 k__Bacteria;p__Gemmatimonadetes;c__Gemm-1;o__;f__;g__;s__ +314857 k__Bacteria;p__WS3;c__PRR-12;o__Sediment-1;f__;g__;s__ +3151924 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Enterobacteriales;f__Enterobacteriaceae;g__Klebsiella;s__ +315196 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Devosia;s__ +3155416 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__;s__ +3155426 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__;s__ +315569 k__Bacteria;p__Bacteroidetes;c__Flavobacteriia;o__Flavobacteriales;f__;g__;s__ +31570 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__;g__;s__ +316001 k__Bacteria;p__TM7;c__TM7-1;o__;f__;g__;s__ +316264 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__;g__;s__ +3163059 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__;s__ +316335 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ +3166208 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__;g__;s__ +3169284 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__;g__;s__ +317092 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__;g__;s__ +317157 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Oxalobacteraceae;g__Janthinobacterium;s__ +317368 k__Bacteria;p__GN02;c__GN07;o__;f__;g__;s__ +3174268 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Promicromonosporaceae;g__;s__ +3174304 k__Bacteria;p__TM7;c__TM7-1;o__;f__;g__;s__ +317556 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Enterobacteriales;f__Enterobacteriaceae;g__Erwinia;s__ +317632 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ +31770 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__;s__ +317706 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Micrococcaceae;g__;s__ +317811 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Sphingomonas;s__wittichii +318155 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Hyphomicrobium;s__ +318193 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Gaiellales;f__Gaiellaceae;g__;s__ +318273 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Gallionellales;f__Gallionellaceae;g__Gallionella;s__ +319123 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Acetobacteraceae;g__;s__ +3191490 k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__Hymenobacter;s__ +319420 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +319502 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Rhodocyclales;f__Rhodocyclaceae;g__Dechloromonas;s__ +3195989 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Sphingomonas;s__wittichii +3196019 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__Haliangiaceae;g__;s__ +319672 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Acetobacteraceae;g__;s__ +319907 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ +319921 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Pseudomonadales;f__Moraxellaceae;g__;s__ +319944 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Solirubrobacterales;f__;g__;s__ +3202330 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__MIZ46;f__;g__;s__ +320248 k__Bacteria;p__Chloroflexi;c__Anaerolineae;o__SBR1031;f__A4b;g__;s__ +3202485 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__;s__ +3205427 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Phyllobacteriaceae;g__Mesorhizobium;s__ +320622 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__;f__;g__;s__ +320629 k__Bacteria;p__Chloroflexi;c__Ellin6529;o__;f__;g__;s__ +320675 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Xanthobacteraceae;g__;s__ +320782 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Sinobacteraceae;g__Steroidobacter;s__ +3208174 k__Bacteria;p__Chloroflexi;c__Anaerolineae;o__Caldilineales;f__Caldilineaceae;g__;s__ +32083 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__Rhodoferax;s__ +320892 k__Bacteria;p__Bacteroidetes;c__Flavobacteriia;o__Flavobacteriales;f__Flavobacteriaceae;g__Flavobacterium;s__ +3208990 k__Bacteria;p__TM6;c__SJA-4;o__;f__;g__;s__ +321058 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__CCU21;f__;g__;s__ +321458 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Legionellales;f__Coxiellaceae;g__Aquicella;s__ +321513 k__Bacteria;p__Nitrospirae;c__Nitrospira;o__Nitrospirales;f__Nitrospiraceae;g__Nitrospira;s__ +321721 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Nocardioidaceae;g__Aeromicrobium;s__ +321764 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Sphingomonas;s__ +3222178 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__MIZ46;f__;g__;s__ +322226 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__;s__ +32254 k__Bacteria;p__Armatimonadetes;c__Armatimonadia;o__FW68;f__;g__;s__ +322560 k__Bacteria;p__Firmicutes;c__Clostridia;o__Clostridiales;f__Clostridiaceae;g__SMB53;s__ +3225782 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__Ellin6075;g__;s__ +322668 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +322898 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__;g__;s__ +322919 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +3230031 k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__Adhaeribacter;s__ +323010 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ +3231020 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Solirubrobacterales;f__;g__;s__ +32320 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Rhizobiaceae;g__;s__ +3232050 k__Bacteria;p__Verrucomicrobia;c__[Pedosphaerae];o__[Pedosphaerales];f__Ellin515;g__;s__ +32348 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Acetobacteraceae;g__;s__ +323729 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +3237752 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Sinobacteraceae;g__;s__ +323858 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Legionellales;f__Coxiellaceae;g__;s__ +323949 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__;g__;s__ +3240295 k__Bacteria;p__Chloroflexi;c__Ktedonobacteria;o__Thermogemmatisporales;f__Thermogemmatisporaceae;g__;s__ +324217 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Nocardioidaceae;g__;s__ +3242243 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Oxalobacteraceae;g__;s__ +3242633 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__;g__;s__ +324357 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +3243803 k__Bacteria;p__Acidobacteria;c__DA052;o__Ellin6513;f__;g__;s__ +324630 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Planococcaceae;g__Rummeliibacillus;s__ +324677 k__Bacteria;p__Bacteroidetes;c__Flavobacteriia;o__Flavobacteriales;f__Flavobacteriaceae;g__Flavobacterium;s__ +324699 k__Bacteria;p__Bacteroidetes;c__Sphingobacteriia;o__Sphingobacteriales;f__Sphingobacteriaceae;g__;s__ +324721 k__Bacteria;p__Cyanobacteria;c__Chloroplast;o__Stramenopiles;f__;g__;s__ +324748 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Planococcaceae;g__Planomicrobium;s__ +3249137 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__Candidatus Koribacter;s__ +324983 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Pseudomonadales;f__Moraxellaceae;g__;s__ +3253464 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__11-24;f__;g__;s__ +3253746 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +325609 k__Bacteria;p__Verrucomicrobia;c__[Spartobacteria];o__[Chthoniobacterales];f__[Chthoniobacteraceae];g__Chthoniobacter;s__ +325711 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__;g__;s__ +325735 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rickettsiales;f__Rickettsiaceae;g__;s__ +325796 k__Bacteria;p__Chloroflexi;c__TK10;o__B07_WMSP1;f__FFCH4570;g__;s__ +3259008 k__Bacteria;p__Bacteroidetes;c__Flavobacteriia;o__Flavobacteriales;f__Flavobacteriaceae;g__Flavobacterium;s__ +326069 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Pseudomonadales;f__Pseudomonadaceae;g__Pseudomonas;s__ +326537 k__Bacteria;p__Acidobacteria;c__iii1-8;o__SJA-36;f__;g__;s__ +3266068 k__Bacteria;p__Chlorobi;c__SJA-28;o__;f__;g__;s__ +3267604 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +3270623 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__;g__;s__ +3270624 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__JH-WHS99;f__;g__;s__ +3270628 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__;g__;s__ +3270631 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__;s__ +327251 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__;s__ +327290 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Pseudonocardiaceae;g__Pseudonocardia;s__ +32738 k__Bacteria;p__TM7;c__TM7-1;o__;f__;g__;s__ +327432 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Oxalobacteraceae;g__;s__ +3275744 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Oxalobacteraceae;g__Herbaspirillum;s__ +3276020 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Thiotrichales;f__Piscirickettsiaceae;g__;s__ +328181 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__SC-I-84;f__;g__;s__ +328307 k__Bacteria;p__Nitrospirae;c__Nitrospira;o__Nitrospirales;f__0319-6A21;g__;s__ +3284221 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Sinobacteraceae;g__;s__ +328573 k__Bacteria;p__Firmicutes;c__Clostridia;o__Clostridiales;f__Clostridiaceae;g__;s__ +328810 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +328957 k__Bacteria;p__Nitrospirae;c__Nitrospira;o__Nitrospirales;f__0319-6A21;g__;s__ +329074 k__Bacteria;p__Acidobacteria;c__;o__;f__;g__;s__ +329144 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__ +329287 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +329490 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Actinosynnemataceae;g__Lentzea;s__ +329512 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodobacterales;f__Rhodobacteraceae;g__;s__ +329690 k__Bacteria;p__Acidobacteria;c__Acidobacteria-5;o__;f__;g__;s__ +329697 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__[Entotheonellales];f__[Entotheonellaceae];g__;s__ +329740 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__HTCC2188;f__HTCC2089;g__;s__ +330081 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__ +330210 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Paenibacillaceae;g__Paenibacillus;s__ +330250 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__;s__ +330280 k__Bacteria;p__Elusimicrobia;c__Elusimicrobia;o__IIb;f__;g__;s__ +330844 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Sphingobium;s__xenophagum +330951 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Pseudomonadales;f__Moraxellaceae;g__Acinetobacter;s__ +331108 k__Bacteria;p__TM7;c__TM7-1;o__;f__;g__;s__ +331521 k__Bacteria;p__Nitrospirae;c__Nitrospira;o__Nitrospirales;f__0319-6A21;g__;s__ +331647 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__;s__ +331980 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__;g__;s__ +332041 k__Bacteria;p__Gemmatimonadetes;c__Gemm-1;o__;f__;g__;s__ +332042 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ +3320486 k__Bacteria;p__Verrucomicrobia;c__[Pedosphaerae];o__[Pedosphaerales];f__Ellin517;g__;s__ +332084 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Desulfobacterales;f__Desulfobacteraceae;g__;s__ +332410 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Methylocystaceae;g__;s__ +332471 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__ +332556 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Planococcaceae;g__;s__ +332595 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Hyphomicrobium;s__ +332655 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +332717 k__Bacteria;p__Bacteroidetes;c__Sphingobacteriia;o__Sphingobacteriales;f__;g__;s__ +332788 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Gaiellales;f__Gaiellaceae;g__;s__ +332934 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__;s__ +3329353 k__Bacteria;p__Bacteroidetes;c__Flavobacteriia;o__Flavobacteriales;f__[Weeksellaceae];g__Chryseobacterium;s__ +3329857 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rickettsiales;f__Rickettsiaceae;g__;s__ +3329860 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__Leptothrix;s__ +3330572 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Sinobacteraceae;g__;s__ +3334372 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Gaiellales;f__Gaiellaceae;g__;s__ +3334374 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Gaiellales;f__Gaiellaceae;g__;s__ +333608 k__Bacteria;p__Actinobacteria;c__Acidimicrobiia;o__Acidimicrobiales;f__;g__;s__ +333617 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__mb2424;g__;s__ +333899 k__Bacteria;p__TM7;c__TM7-1;o__;f__;g__;s__ +3339747 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rickettsiales;f__mitochondria;g__;s__ +334056 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__;g__;s__ +334140 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__;g__;s__ +334185 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__;g__;s__ +334186 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Pedomicrobium;s__ +334324 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__NB1-j;f__MND4;g__;s__ +334409 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Sphingomonas;s__ +3348667 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Planococcaceae;g__Planomicrobium;s__ +335392 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Kiloniellales;f__Kiloniellaceae;g__;s__ +3359685 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Microbacteriaceae;g__Agromyces;s__ +336057 k__Bacteria;p__Bacteroidetes;c__Sphingobacteriia;o__Sphingobacteriales;f__;g__;s__ +336364 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Rhizobiaceae;g__;s__ +336433 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +336794 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__;f__;g__;s__ +3368507 k__Bacteria;p__Gemmatimonadetes;c__Gemmatimonadetes;o__KD8-87;f__;g__;s__ +336873 k__Bacteria;p__Verrucomicrobia;c__Verrucomicrobiae;o__Verrucomicrobiales;f__Verrucomicrobiaceae;g__;s__ +3374132 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Streptomycetaceae;g__;s__ +33773 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Streptomycetaceae;g__Streptomyces;s__ +337903 k__Bacteria;p__Cyanobacteria;c__4C0d-2;o__MLE1-12;f__;g__;s__ +3384225 k__Bacteria;p__Acidobacteria;c__Acidobacteria-5;o__;f__;g__;s__ +338517 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Bradyrhizobiaceae;g__;s__ +338761 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Methylocystaceae;g__;s__ +338879 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__;g__;s__ +338969 k__Bacteria;p__Verrucomicrobia;c__[Pedosphaerae];o__[Pedosphaerales];f__Ellin515;g__;s__ +33919 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Burkholderiaceae;g__Burkholderia;s__ +339544 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__11-24;f__;g__;s__ +339660 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Sinobacteraceae;g__;s__ +339951 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Oxalobacteraceae;g__Cupriavidus;s__ +340199 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +340507 k__Bacteria;p__Verrucomicrobia;c__[Spartobacteria];o__[Chthoniobacterales];f__[Chthoniobacteraceae];g__DA101;s__ +340558 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__;s__ +3406555 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__muralis +340714 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Rhizobiaceae;g__;s__ +340964 k__Bacteria;p__TM7;c__TM7-3;o__;f__;g__;s__ +341095 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Bradyrhizobiaceae;g__;s__ +341142 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__Segetibacter;s__ +3412843 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__;s__ +341554 k__Bacteria;p__TM7;c__;o__;f__;g__;s__ +341674 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Micrococcaceae;g__;s__ +341698 k__Bacteria;p__Verrucomicrobia;c__Verrucomicrobiae;o__Verrucomicrobiales;f__Verrucomicrobiaceae;g__;s__ +341831 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ +341901 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Nocardioidaceae;g__;s__ +341939 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Oxalobacteraceae;g__;s__ +342277 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rickettsiales;f__Pelagibacteraceae;g__;s__ +342283 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__Polaromonas;s__ +3427116 k__Bacteria;p__Bacteroidetes;c__Flavobacteriia;o__Flavobacteriales;f__Flavobacteriaceae;g__Flavobacterium;s__ +342714 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__Haliangiaceae;g__;s__ +342749 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Sphingomonas;s__changbaiensis +342790 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +342876 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Pseudomonadales;f__Moraxellaceae;g__Acinetobacter;s__ +3431050 k__Bacteria;p__Bacteroidetes;c__Sphingobacteriia;o__Sphingobacteriales;f__Sphingobacteriaceae;g__;s__ +3431064 k__Bacteria;p__Gemmatimonadetes;c__Gemmatimonadetes;o__N1423WL;f__;g__;s__ +3431066 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__;s__ +343239 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__Acidovorax;s__delafieldii +3432765 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +343407 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodobacterales;f__Rhodobacteraceae;g__;s__ +343503 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Kaistobacter;s__ +343557 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__Rhodoferax;s__ +343608 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__Limnohabitans;s__ +3437276 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Oxalobacteraceae;g__Cupriavidus;s__ +344092 k__Bacteria;p__TM7;c__TM7-3;o__EW055;f__;g__;s__ +344260 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +344331 k__Bacteria;p__Planctomycetes;c__Planctomycetia;o__Gemmatales;f__Isosphaeraceae;g__;s__ +3443340 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__ +344654 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__muralis +344719 k__Bacteria;p__TM7;c__TM7-1;o__;f__;g__;s__ +344838 k__Bacteria;p__Gemmatimonadetes;c__Gemm-5;o__;f__;g__;s__ +345333 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Phyllobacteriaceae;g__Phyllobacterium;s__ +3458182 k__Bacteria;p__Verrucomicrobia;c__Verruco-5;o__WCHB1-41;f__;g__;s__ +3458188 k__Bacteria;p__Bacteroidetes;c__Flavobacteriia;o__Flavobacteriales;f__Flavobacteriaceae;g__Flavobacterium;s__ +345921 k__Bacteria;p__Bacteroidetes;c__Flavobacteriia;o__Flavobacteriales;f__[Weeksellaceae];g__Chryseobacterium;s__ +345978 k__Bacteria;p__Chloroflexi;c__Anaerolineae;o__Caldilineales;f__Caldilineaceae;g__;s__ +346019 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Alcaligenaceae;g__;s__ +3460758 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Acidobacteriaceae;g__;s__ +3460770 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__;s__ +346352 k__Bacteria;p__Cyanobacteria;c__Nostocophycideae;o__;f__;g__;s__ +346925 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Syntrophobacterales;f__Syntrophobacteraceae;g__;s__ +3469796 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ +347195 k__Bacteria;p__Bacteroidetes;c__Sphingobacteriia;o__Sphingobacteriales;f__Sphingobacteriaceae;g__;s__ +3473409 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__;s__ +347428 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Devosia;s__ +347553 k__Bacteria;p__Firmicutes;c__Clostridia;o__Clostridiales;f__Peptostreptococcaceae;g__Clostridium;s__ruminantium +347661 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +348049 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__;f__;g__;s__ +348099 k__Bacteria;p__Bacteroidetes;c__Sphingobacteriia;o__Sphingobacteriales;f__Sphingobacteriaceae;g__;s__ +348157 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Sphingomonas;s__ +348270 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +348570 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Acetobacteraceae;g__;s__ +3486915 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__;g__;s__ +3487653 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__;s__ +348880 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__;s__ +3489297 k__Bacteria;p__FBP;c__;o__;f__;g__;s__ +3490230 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Sphingomonas;s__ +349315 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__;s__ +349415 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__Flavisolibacter;s__ +349639 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__;g__;s__ +349816 k__Bacteria;p__Gemmatimonadetes;c__Gemmatimonadetes;o__N1423WL;f__;g__;s__ +3498923 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__;g__;s__ +3500731 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__CCU21;f__;g__;s__ +350334 k__Bacteria;p__Gemmatimonadetes;c__;o__;f__;g__;s__ +350446 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ +350760 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Xanthobacteraceae;g__;s__ +350938 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Caulobacterales;f__Caulobacteraceae;g__Mycoplana;s__ +351128 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__;g__;s__ +351211 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__;g__;s__ +351338 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__;g__;s__ +351383 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Intrasporangiaceae;g__;s__ +3514715 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__SC-I-84;f__;g__;s__ +3514716 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__Leptothrix;s__ +351680 k__Bacteria;p__Cyanobacteria;c__4C0d-2;o__MLE1-12;f__;g__;s__ +352105 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__;f__;g__;s__ +352247 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__;g__;s__ +352485 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +3526330 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +3526720 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Oxalobacteraceae;g__;s__ +353051 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Caulobacterales;f__Caulobacteraceae;g__Phenylobacterium;s__ +353198 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__;f__;g__;s__ +353616 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Planococcaceae;g__;s__ +353731 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Legionellales;f__Coxiellaceae;g__;s__ +3538 k__Bacteria;p__Cyanobacteria;c__Chloroplast;o__Streptophyta;f__;g__;s__ +353925 k__Bacteria;p__Verrucomicrobia;c__[Pedosphaerae];o__[Pedosphaerales];f__Ellin515;g__;s__ +354042 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Sphingomonas;s__wittichii +354224 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__;s__ +354337 k__Bacteria;p__Acidobacteria;c__Acidobacteria-5;o__;f__;g__;s__ +354510 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Oxalobacteraceae;g__;s__ +354765 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Micromonosporaceae;g__Verrucosispora;s__gifhornensis +3549384 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__Flavisolibacter;s__ +3549446 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Burkholderiaceae;g__;s__ +355188 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Devosia;s__ +355361 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Streptomycetaceae;g__;s__ +355367 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__;s__ +3555655 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Alteromonadales;f__211ds20;g__;s__ +3555658 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Legionellales;f__;g__;s__ +355670 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__;f__;g__;s__ +355913 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Planococcaceae;g__Planomicrobium;s__ +356027 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Gaiellales;f__Gaiellaceae;g__;s__ +356045 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__;f__;g__;s__ +356083 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__;g__;s__ +356113 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Beijerinckiaceae;g__;s__ +356568 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Methylophilales;f__Methylophilaceae;g__Methylotenera;s__mobilis +356598 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__;s__ +35667 k__Bacteria;p__Planctomycetes;c__Phycisphaerae;o__WD2101;f__;g__;s__ +3567497 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__;g__;s__ +357011 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__;s__ +357071 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +357721 k__Bacteria;p__Elusimicrobia;c__Elusimicrobia;o__FAC88;f__;g__;s__ +357873 k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__Sporocytophaga;s__ +358107 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__;g__;s__ +358178 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__[Exiguobacteraceae];g__Exiguobacterium;s__ +3581990 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Bradyrhizobiaceae;g__;s__ +3582363 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__OM27;g__;s__ +358280 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +358489 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__mb2424;g__;s__ +358590 k__Bacteria;p__Gemmatimonadetes;c__Gemm-1;o__;f__;g__;s__ +358745 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__;s__ +358785 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ +359069 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__SC-I-84;f__;g__;s__ +3591463 k__Bacteria;p__Planctomycetes;c__Phycisphaerae;o__WD2101;f__;g__;s__ +3592899 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__MIZ46;f__;g__;s__ +359433 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__CCU21;f__;g__;s__ +359864 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__SC-I-84;f__;g__;s__ +3599069 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Burkholderiaceae;g__Salinispora;s__ +3599421 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__cereus +360097 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__RB40;g__;s__ +360253 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__;s__ +3603301 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Gaiellales;f__;g__;s__ +3603697 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__ +360433 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__;g__;s__ +36067 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__SC-I-84;f__;g__;s__ +3606781 k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__;s__ +360691 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Burkholderiaceae;g__;s__ +360692 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Xanthomonadaceae;g__;s__ +360823 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +361100 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__MND1;f__;g__;s__ +361234 k__Bacteria;p__Acidobacteria;c__Holophagae;o__Holophagales;f__Holophagaceae;g__Geothrix;s__ +361372 k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__;g__;s__ +3614443 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Streptomycetaceae;g__Streptacidiphilus;s__ +3616124 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ +3616127 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__;g__;s__ +361764 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +361902 k__Bacteria;p__Bacteroidetes;c__Sphingobacteriia;o__Sphingobacteriales;f__;g__;s__ +3621721 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__Ellin6075;g__;s__ +362188 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__;f__;g__;s__ +36221 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Legionellales;f__Coxiellaceae;g__;s__ +3622774 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Pseudomonadales;f__Pseudomonadaceae;g__Pseudomonas;s__ +362293 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Bradyrhizobiaceae;g__;s__ +362426 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Burkholderiaceae;g__;s__ +3625859 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Sphingomonas;s__ +362643 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +362645 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +362799 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Erythrobacteraceae;g__;s__ +362845 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__;s__ +363198 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Hyphomicrobium;s__ +363337 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Microbacteriaceae;g__Microbacterium;s__ +3634136 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Micrococcaceae;g__;s__ +363617 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +3639039 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__;g__;s__ +364155 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Kaistobacter;s__ +3642506 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +364386 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__RB40;g__;s__ +364617 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Sinobacteraceae;g__;s__ +364646 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__;g__;s__ +364805 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Geodermatophilaceae;g__;s__ +365174 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Alicyclobacillaceae;g__Alicyclobacillus;s__ +365415 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Sinobacteraceae;g__Steroidobacter;s__ +3660589 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__;f__;g__;s__ +3660590 k__Bacteria;p__Gemmatimonadetes;c__Gemmatimonadetes;o__C114;f__;g__;s__ +3662847 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__;g__;s__ +366443 k__Bacteria;p__Chloroflexi;c__Ellin6529;o__;f__;g__;s__ +366646 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__;f__;g__;s__ +3667 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__;g__;s__ +3667532 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__;s__ +3667535 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +3667538 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__;f__;g__;s__ +366851 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Sinobacteraceae;g__;s__ +366977 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Rhodocyclales;f__Rhodocyclaceae;g__;s__ +367189 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Burkholderiaceae;g__Burkholderia;s__andropogonis +367523 k__Bacteria;p__Bacteroidetes;c__Flavobacteriia;o__Flavobacteriales;f__Flavobacteriaceae;g__Flavobacterium;s__ +367606 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__11-24;f__;g__;s__ +367733 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Xanthomonadaceae;g__;s__ +367995 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Kaistobacter;s__ +368027 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Gaiellales;f__Gaiellaceae;g__;s__ +368218 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Gaiellales;f__Gaiellaceae;g__;s__ +368348 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__SBla14;f__;g__;s__ +368520 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Gaiellales;f__Gaiellaceae;g__;s__ +368658 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +3689520 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Beijerinckiaceae;g__;s__ +369028 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__Polyangiaceae;g__Sorangium;s__ +3691868 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__PK29;f__;g__;s__ +3691870 k__Bacteria;p__Acidobacteria;c__PAUC37f;o__;f__;g__;s__ +369289 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Micromonosporaceae;g__Actinoplanes;s__toevensis +369436 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Acetobacteraceae;g__;s__ +369447 k__Bacteria;p__TM7;c__SC3;o__;f__;g__;s__ +3695905 k__Bacteria;p__Nitrospirae;c__Nitrospira;o__Nitrospirales;f__0319-6A21;g__;s__ +369734 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__;s__ +369953 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Acetobacteraceae;g__;s__ +370045 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Micromonosporaceae;g__Catellatospora;s__ +3700608 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Oxalobacteraceae;g__;s__ +370090 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +370124 k__Bacteria;p__Bacteroidetes;c__Sphingobacteriia;o__Sphingobacteriales;f__Sphingobacteriaceae;g__;s__ +3702094 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +3702099 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__Haliangiaceae;g__;s__ +37026 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__;s__ +370301 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Acetobacteraceae;g__Roseomonas;s__ +37173 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Intrasporangiaceae;g__Phycicoccus;s__ +3724514 k__Bacteria;p__TM7;c__TM7-3;o__;f__;g__;s__ +3728119 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Enterobacteriales;f__Enterobacteriaceae;g__;s__ +373239 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__;g__;s__ +3734418 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__;g__;s__ +3739088 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Legionellales;f__Legionellaceae;g__Legionella;s__ +3740253 k__Bacteria;p__TM7;c__TM7-1;o__;f__;g__;s__ +3746876 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rickettsiales;f__mitochondria;g__Carludovica;s__palmata +3749019 k__Bacteria;p__Nitrospirae;c__Nitrospira;o__Nitrospirales;f__Nitrospiraceae;g__;s__ +3753076 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__CCU21;f__;g__;s__ +3755157 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Devosia;s__ +3755711 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__RB40;g__;s__ +3755712 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +3761169 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Streptomycetaceae;g__Streptomyces;s__ +3761170 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Streptomycetaceae;g__Streptomyces;s__triangulatus +3769417 k__Bacteria;p__TM7;c__TM7-3;o__;f__;g__;s__ +3774028 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Caulobacterales;f__Caulobacteraceae;g__;s__ +3774029 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Kaistobacter;s__ +377426 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Sphingobium;s__ +3778553 k__Bacteria;p__Bacteroidetes;c__Flavobacteriia;o__Flavobacteriales;f__[Weeksellaceae];g__Chryseobacterium;s__ +3783163 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__;s__ +37911 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__Mitsuaria;s__chitosanitabida +3793255 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__CCU21;f__;g__;s__ +3798902 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Methylocystaceae;g__;s__ +3802884 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Rhodocyclales;f__Rhodocyclaceae;g__;s__ +38048 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__Candidatus Koribacter;s__versatilis +38074 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Burkholderiaceae;g__Burkholderia;s__ +3809681 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__;g__;s__ +38159 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__;g__;s__ +382125 k__Bacteria;p__Bacteroidetes;c__Sphingobacteriia;o__Sphingobacteriales;f__Sphingobacteriaceae;g__;s__ +3823564 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__Segetibacter;s__ +38267 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__Variovorax;s__ +3829957 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Enterobacteriales;f__Enterobacteriaceae;g__;s__ +3832712 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Acidobacteriaceae;g__Terriglobus;s__ +3833747 k__Bacteria;p__Bacteroidetes;c__Sphingobacteriia;o__Sphingobacteriales;f__Sphingobacteriaceae;g__;s__ +3843947 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__mb2424;g__;s__ +3843956 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__;f__;g__;s__ +3849735 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Bradyrhizobiaceae;g__Balneimonas;s__ +3849747 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Sinobacteraceae;g__;s__ +3863098 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Sinobacteraceae;g__Steroidobacter;s__ +3868277 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__SC-I-84;f__;g__;s__ +3868361 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__;g__;s__ +3870314 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +3873341 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__;s__ +3875675 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Oxalobacteraceae;g__;s__ +3881469 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Nocardioidaceae;g__Nocardioides;s__ +38888 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Pseudomonadales;f__Pseudomonadaceae;g__Pseudomonas;s__stutzeri +3893085 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__OM27;g__;s__ +3893865 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__SBla14;f__;g__;s__ +3894019 k__Bacteria;p__Firmicutes;c__Clostridia;o__Clostridiales;f__Clostridiaceae;g__SMB53;s__ +3897233 k__Bacteria;p__Chloroflexi;c__Anaerolineae;o__Caldilineales;f__Caldilineaceae;g__;s__ +3897749 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__Ramlibacter;s__ +389854 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Caulobacterales;f__Caulobacteraceae;g__Phenylobacterium;s__ +3900312 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Novosphingobium;s__ +3905299 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__;g__;s__ +3917237 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Saprospiraceae;g__;s__ +3920029 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Caulobacterales;f__Caulobacteraceae;g__;s__ +3922904 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +392994 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__;s__ +3932820 k__Bacteria;p__Gemmatimonadetes;c__Gemm-5;o__;f__;g__;s__ +3934283 k__Bacteria;p__Chloroflexi;c__Anaerolineae;o__SBR1031;f__A4b;g__;s__ +3937258 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__Ellin6075;g__;s__ +3937304 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Kaistobacter;s__ +3942776 k__Bacteria;p__Gemmatimonadetes;c__Gemmatimonadetes;o__Ellin5290;f__;g__;s__ +39463 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Streptomycetaceae;g__Streptomyces;s__ +3946733 k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__Spirosoma;s__ +3952124 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +3954599 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__;g__;s__ +3956474 k__Bacteria;p__Actinobacteria;c__MB-A2-108;o__0319-7L14;f__;g__;s__ +396285 k__Bacteria;p__Cyanobacteria;c__Oscillatoriophycideae;o__Chroococcales;f__Xenococcaceae;g__;s__ +3963494 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +396697 k__Bacteria;p__Firmicutes;c__Clostridia;o__Clostridiales;f__Clostridiaceae;g__Clostridium;s__perfringens +3984866 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ +398721 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Sinobacteraceae;g__;s__ +3990161 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Acidobacteriaceae;g__;s__ +3991527 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Alicyclobacillaceae;g__Alicyclobacillus;s__ +3992842 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Chromatiales;f__;g__;s__ +3998360 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__PK29;f__;g__;s__ +4001495 k__Bacteria;p__Cyanobacteria;c__Chloroplast;o__Streptophyta;f__;g__;s__ +400524 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__;s__ +4008562 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Xanthomonadaceae;g__;s__ +4008780 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__Haliangiaceae;g__;s__ +40101 k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__Spirosoma;s__ +4010666 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__Flavisolibacter;s__ +4011113 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Syntrophobacterales;f__Syntrophobacteraceae;g__;s__ +4024061 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +4024062 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +4024063 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +4024980 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__;s__ +4026010 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__;s__ +4026011 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Acetobacteraceae;g__;s__ +4026017 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__;s__ +4028110 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Pseudomonadales;f__Pseudomonadaceae;g__Pseudomonas;s__ +4029810 k__Bacteria;p__TM7;c__TM7-1;o__;f__;g__;s__ +4032624 k__Bacteria;p__Verrucomicrobia;c__[Pedosphaerae];o__[Pedosphaerales];f__auto67_4W;g__;s__ +4041974 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +4042106 k__Bacteria;p__Bacteroidetes;c__Sphingobacteriia;o__Sphingobacteriales;f__Sphingobacteriaceae;g__Pedobacter;s__ +4044057 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +4044060 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +40511 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__;g__;s__ +4053780 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__;g__;s__ +405655 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Rhizobiaceae;g__Agrobacterium;s__ +4057271 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Burkholderiaceae;g__Burkholderia;s__ +4057605 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__ +4062895 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Acidobacteriaceae;g__;s__ +407132 k__Bacteria;p__Armatimonadetes;c__SJA-176;o__RB046;f__;g__;s__ +40718 k__Bacteria;p__Bacteroidetes;c__Bacteroidia;o__Bacteroidales;f__;g__;s__ +407437 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Solirubrobacterales;f__Solirubrobacteraceae;g__;s__ +4082575 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__Candidatus Koribacter;s__ +4082577 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__;s__ +4090934 k__Bacteria;p__TM7;c__TM7-1;o__;f__;g__;s__ +4091428 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__;g__;s__ +4091471 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +4093079 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Bifidobacteriales;f__;g__;s__ +4097100 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__RB40;g__;s__ +409932 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Micromonosporaceae;g__Phytohabitans;s__suffuscus +410072 k__Bacteria;p__Actinobacteria;c__Acidimicrobiia;o__Acidimicrobiales;f__;g__;s__ +4101333 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ +4105048 k__Bacteria;p__Actinobacteria;c__Rubrobacteria;o__Rubrobacterales;f__Rubrobacteraceae;g__;s__ +410905 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__;g__;s__ +4115545 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +411799 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Nocardioidaceae;g__Actinopolymorpha;s__ +4128270 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Pseudomonadales;f__Pseudomonadaceae;g__Pseudomonas;s__ +413557 k__Bacteria;p__Bacteroidetes;c__Flavobacteriia;o__Flavobacteriales;f__[Weeksellaceae];g__Chryseobacterium;s__ +4140500 k__Bacteria;p__Gemmatimonadetes;c__Gemm-1;o__;f__;g__;s__ +4150479 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__;s__ +4155882 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__;s__ +41559 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Planococcaceae;g__Viridibacillus;s__ +4158888 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__;g__;s__ +4164931 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Novosphingobium;s__ +4166997 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Syntrophobacterales;f__Syntrophaceae;g__Syntrophus;s__ +4166998 k__Bacteria;p__Acidobacteria;c__DA052;o__Ellin6513;f__;g__;s__ +4167004 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__;s__ +417101 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Ellin329;f__;g__;s__ +417532 k__Bacteria;p__TM6;c__SJA-4;o__;f__;g__;s__ +4178575 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__;s__ +417967 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Xanthobacteraceae;g__Labrys;s__ +4187380 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__;f__;g__;s__ +4193309 k__Bacteria;p__Firmicutes;c__Clostridia;o__Clostridiales;f__Clostridiaceae;g__Clostridium;s__ +4194975 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Streptomycetaceae;g__Streptomyces;s__scabrisporus +4195429 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Oxalobacteraceae;g__;s__ +419765 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__asahii +4203048 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +4215713 k__Bacteria;p__TM6;c__SJA-4;o__;f__;g__;s__ +4222085 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__CCU21;f__;g__;s__ +4222816 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__Haliangiaceae;g__;s__ +4237640 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Solirubrobacterales;f__;g__;s__ +4237652 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Gaiellales;f__Gaiellaceae;g__;s__ +424016 k__Bacteria;p__Planctomycetes;c__Phycisphaerae;o__WD2101;f__;g__;s__ +4240796 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__;s__ +4241515 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Rhodocyclales;f__Rhodocyclaceae;g__;s__ +4243758 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__BD7-3;f__;g__;s__ +4248323 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__CCU21;f__;g__;s__ +4253984 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Pseudomonadales;f__Pseudomonadaceae;g__Pseudomonas;s__ +4254478 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__;s__ +4256699 k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__Adhaeribacter;s__ +4258048 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Kaistobacter;s__ +425938 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Paenibacillaceae;g__;s__ +4259853 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__[Entotheonellales];f__[Entotheonellaceae];g__;s__ +4260136 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Syntrophobacterales;f__Syntrophobacteraceae;g__;s__ +4260702 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__PK29;f__;g__;s__ +4260961 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Xanthomonadaceae;g__;s__ +426566 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Novosphingobium;s__ +4269868 k__Bacteria;p__Gemmatimonadetes;c__Gemmatimonadetes;o__Gemmatimonadales;f__Gemmatimonadaceae;g__Gemmatimonas;s__ +427028 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +427239 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__;s__ +4274068 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__OM27;g__;s__ +4276833 k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__;s__ +4276843 k__Bacteria;p__BRC1;c__PRR-11;o__;f__;g__;s__ +4278428 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Erythrobacteraceae;g__;s__ +4282096 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__;g__;s__ +4282801 k__Bacteria;p__Cyanobacteria;c__Chloroplast;o__Streptophyta;f__;g__;s__ +4288299 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Microbacteriaceae;g__;s__ +4288321 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Neisseriales;f__Neisseriaceae;g__;s__ +4290381 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodobacterales;f__Hyphomonadaceae;g__;s__ +4292811 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +4292815 k__Bacteria;p__Gemmatimonadetes;c__Gemmatimonadetes;o__Ellin5290;f__;g__;s__ +4293581 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__mb2424;g__;s__ +4294646 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Rhizobiaceae;g__;s__ +4294954 k__Bacteria;p__Bacteroidetes;c__Flavobacteriia;o__Flavobacteriales;f__Flavobacteriaceae;g__Capnocytophaga;s__ +4295043 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Caulobacterales;f__Caulobacteraceae;g__Arthrospira;s__ +4295656 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__ +4296366 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Planococcaceae;g__Sporosarcina;s__ +4296430 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +4296435 k__Bacteria;p__Chlorobi;c__OPB56;o__;f__;g__;s__ +4296486 k__Bacteria;p__TM7;c__TM7-3;o__EW055;f__;g__;s__ +4296539 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__;g__;s__ +4296603 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__;s__ +4296675 k__Bacteria;p__Chloroflexi;c__Anaerolineae;o__CFB-26;f__;g__;s__ +4296681 k__Bacteria;p__TM7;c__TM7-1;o__;f__;g__;s__ +4296910 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__;g__;s__ +4297077 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__;g__;s__ +4297568 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__;g__;s__ +4297586 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Thiotrichales;f__Piscirickettsiaceae;g__;s__ +4297666 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__;g__;s__ +4297733 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +4297777 k__Bacteria;p__Cyanobacteria;c__Synechococcophycideae;o__Pseudanabaenales;f__Pseudanabaenaceae;g__Leptolyngbya;s__ +4298047 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Oxalobacteraceae;g__;s__ +4298052 k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__Adhaeribacter;s__ +4298123 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ +4298129 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__;s__ +4298215 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__;s__ +4298284 k__Bacteria;p__Firmicutes;c__Clostridia;o__Clostridiales;f__Peptococcaceae;g__Desulfotomaculum;s__ +4298362 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Microbacteriaceae;g__;s__ +4298398 k__Bacteria;p__Firmicutes;c__Clostridia;o__Clostridiales;f__Clostridiaceae;g__Clostridium;s__ +4298480 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__cereus +4298513 k__Bacteria;p__Nitrospirae;c__Nitrospira;o__Nitrospirales;f__Nitrospiraceae;g__Nitrospira;s__ +4298525 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Alicyclobacillaceae;g__Alicyclobacillus;s__ +4298530 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Xanthomonadaceae;g__;s__ +4298552 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__RB40;g__;s__ +4298720 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ +4298761 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +4298908 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Rhodocyclales;f__Rhodocyclaceae;g__Uliginosibacterium;s__ +4299277 k__Bacteria;p__GN02;c__GKS2-174;o__;f__;g__;s__ +4299286 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +4299406 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Oxalobacteraceae;g__;s__ +4299456 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Streptomycetaceae;g__Streptomyces;s__ +4299465 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Desulfuromonadales;f__Geobacteraceae;g__Geobacter;s__ +4299529 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__;g__;s__ +4299593 k__Bacteria;p__Chloroflexi;c__S085;o__;f__;g__;s__ +4299608 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Geodermatophilaceae;g__Geodermatophilus;s__ +4299768 k__Bacteria;p__GN02;c__BD1-5;o__;f__;g__;s__ +4299771 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__;s__ +4299902 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Desulfuromonadales;f__Geobacteraceae;g__Geobacter;s__ +4299929 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Oxalobacteraceae;g__;s__ +4300142 k__Bacteria;p__Bacteroidetes;c__Sphingobacteriia;o__Sphingobacteriales;f__;g__;s__ +4301105 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Mycobacteriaceae;g__Mycobacterium;s__ +4301258 k__Bacteria;p__Chlorobi;c__BSV26;o__PK329;f__;g__;s__ +4301491 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__selenatarsenatis +4301516 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__Flavisolibacter;s__ +4301518 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +4301871 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodobacterales;f__Rhodobacteraceae;g__Rubellimicrobium;s__ +4301944 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Sinobacteraceae;g__;s__ +4302179 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ +4302302 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Beijerinckiaceae;g__;s__ +4302403 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Rhizobiaceae;g__;s__ +4302540 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__Flavisolibacter;s__ +4302551 k__Bacteria;p__Chloroflexi;c__Chloroflexi;o__AKIW781;f__;g__;s__ +4302554 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Gaiellales;f__Gaiellaceae;g__;s__ +4302627 k__Bacteria;p__Bacteroidetes;c__Sphingobacteriia;o__Sphingobacteriales;f__Sphingobacteriaceae;g__;s__ +4302753 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__;g__;s__ +4302799 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__;s__ +4303161 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Pseudonocardiaceae;g__;s__ +4303249 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Methylobacteriaceae;g__Methylobacterium;s__adhaesivum +4303320 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Pseudonocardiaceae;g__Pseudonocardia;s__ +4303339 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Nitrosomonadales;f__;g__;s__ +4303395 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__;g__;s__ +4303530 k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__;s__ +4303531 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Acetobacteraceae;g__;s__ +43037 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Acetobacteraceae;g__;s__ +4303777 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +4303815 k__Bacteria;p__Nitrospirae;c__Nitrospira;o__Nitrospirales;f__Nitrospiraceae;g__Nitrospira;s__ +4303820 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +4303968 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Actinosynnemataceae;g__Kibdelosporangium;s__ +4304382 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__;g__;s__ +4304452 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Oxalobacteraceae;g__;s__ +4304454 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__SC-I-84;f__;g__;s__ +4304486 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ +4304593 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__Ellin6075;g__;s__ +4304638 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__ +4304697 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__Ramlibacter;s__ +4304848 k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__Rhodocytophaga;s__ +4304927 k__Bacteria;p__Nitrospirae;c__Nitrospira;o__Nitrospirales;f__0319-6A21;g__;s__ +4304978 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__;s__ +4305160 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__;s__ +4305234 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Propionibacteriaceae;g__;s__ +4305382 k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__;s__ +4305878 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__;s__ +4306132 k__Bacteria;p__Actinobacteria;c__MB-A2-108;o__0319-7L14;f__;g__;s__ +4306148 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +4306177 k__Bacteria;p__Firmicutes;c__Bacilli;o__Lactobacillales;f__Streptococcaceae;g__Streptococcus;s__ +4306288 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__mb2424;g__;s__ +4306352 k__Bacteria;p__Actinobacteria;c__Acidimicrobiia;o__Acidimicrobiales;f__;g__;s__ +4306488 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__ +4306723 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__Segetibacter;s__ +4306726 k__Bacteria;p__Chlorobi;c__SJA-28;o__;f__;g__;s__ +4306897 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Alicyclobacillaceae;g__Alicyclobacillus;s__ +4306966 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Hyphomicrobium;s__ +4306989 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +4307763 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Oxalobacteraceae;g__;s__ +4307825 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__Flavisolibacter;s__ +4307978 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__;s__ +4307979 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__;s__ +4308259 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__Ellin6075;g__;s__ +4308264 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Bdellovibrionales;f__Bdellovibrionaceae;g__Bdellovibrio;s__ +4308297 k__Bacteria;p__Acidobacteria;c__iii1-8;o__DS-18;f__;g__;s__ +4308299 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +4308304 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__Ellin6075;g__;s__ +4308332 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__;g__;s__ +4308577 k__Bacteria;p__Tenericutes;c__Mollicutes;o__Anaeroplasmatales;f__Anaeroplasmataceae;g__;s__ +4308656 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Streptomycetaceae;g__Streptomyces;s__ +4308657 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__SC-I-84;f__;g__;s__ +4308732 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__;s__ +4308739 k__Bacteria;p__Actinobacteria;c__Acidimicrobiia;o__Acidimicrobiales;f__;g__;s__ +4308910 k__Bacteria;p__Actinobacteria;c__Acidimicrobiia;o__Acidimicrobiales;f__;g__;s__ +4308913 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +4309221 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Paenibacillaceae;g__Paenibacillus;s__ +430929 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Xanthomonadaceae;g__;s__ +4309481 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__11-24;f__;g__;s__ +4309488 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__;g__;s__ +4309490 k__Bacteria;p__Acidobacteria;c__iii1-8;o__DS-18;f__;g__;s__ +4309682 k__Bacteria;p__WPS-2;c__;o__;f__;g__;s__ +4309801 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__;g__;s__ +4310013 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Gaiellales;f__Gaiellaceae;g__;s__ +4310019 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ +4310127 k__Bacteria;p__Verrucomicrobia;c__[Spartobacteria];o__[Chthoniobacterales];f__[Chthoniobacteraceae];g__DA101;s__ +4310308 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__;g__;s__ +4310319 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Pseudonocardiaceae;g__;s__ +4310348 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Paenibacillaceae;g__Paenibacillus;s__ +4310474 k__Bacteria;p__Nitrospirae;c__Nitrospira;o__Nitrospirales;f__Nitrospiraceae;g__;s__ +4310475 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Pedomicrobium;s__ +4310483 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Pseudonocardiaceae;g__;s__ +4310493 k__Bacteria;p__Chloroflexi;c__C0119;o__;f__;g__;s__ +4310803 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Microbacteriaceae;g__Salinibacterium;s__ +4310868 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__;s__ +4311455 k__Bacteria;p__Cyanobacteria;c__Oscillatoriophycideae;o__Oscillatoriales;f__Phormidiaceae;g__Phormidium;s__ +4311457 k__Bacteria;p__FBP;c__;o__;f__;g__;s__ +4311459 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__Flavisolibacter;s__ +4311486 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__;s__ +4311513 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Kaistobacter;s__ +4311517 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__Skermanella;s__ +4311518 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__Skermanella;s__ +4312075 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Saprospiraceae;g__;s__ +4312724 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +4312727 k__Bacteria;p__Gemmatimonadetes;c__Gemmatimonadetes;o__;f__;g__;s__ +4312802 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Devosia;s__ +4313529 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__;g__;s__ +4313541 k__Bacteria;p__Actinobacteria;c__Acidimicrobiia;o__Acidimicrobiales;f__;g__;s__ +4313650 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Oxalobacteraceae;g__;s__ +4313922 k__Bacteria;p__Chloroflexi;c__Anaerolineae;o__Caldilineales;f__Caldilineaceae;g__;s__ +4314196 k__Bacteria;p__Chloroflexi;c__P2-11E;o__;f__;g__;s__ +4314198 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__ +4314412 k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__;s__ +4314420 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Bdellovibrionales;f__Bdellovibrionaceae;g__Bdellovibrio;s__ +4314520 k__Bacteria;p__Gemmatimonadetes;c__Gemmatimonadetes;o__N1423WL;f__;g__;s__ +4314629 k__Bacteria;p__Actinobacteria;c__Acidimicrobiia;o__Acidimicrobiales;f__;g__;s__ +4314635 k__Bacteria;p__Chloroflexi;c__Ktedonobacteria;o__Ktedonobacterales;f__Ktedonobacteraceae;g__;s__ +4314931 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Legionellales;f__Coxiellaceae;g__;s__ +4314933 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__;s__ +4315079 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Paenibacillaceae;g__Paenibacillus;s__ +4315258 k__Bacteria;p__Bacteroidetes;c__Bacteroidia;o__Bacteroidales;f__Porphyromonadaceae;g__Paludibacter;s__ +4315620 k__Bacteria;p__Gemmatimonadetes;c__Gemm-5;o__;f__;g__;s__ +4315660 k__Bacteria;p__Firmicutes;c__Bacilli;o__Lactobacillales;f__Streptococcaceae;g__Lactococcus;s__ +4315843 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Devosia;s__ +4316017 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Legionellales;f__Coxiellaceae;g__;s__ +4316042 k__Bacteria;p__Firmicutes;c__Clostridia;o__Clostridiales;f__Clostridiaceae;g__Clostridium;s__ +4316289 k__Bacteria;p__Verrucomicrobia;c__[Spartobacteria];o__[Chthoniobacterales];f__[Chthoniobacteraceae];g__DA101;s__ +4316328 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +4316726 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Actinosynnemataceae;g__Kutzneria;s__ +4316910 k__Bacteria;p__Chloroflexi;c__Anaerolineae;o__SHA-20;f__;g__;s__ +4317750 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__Haliangiaceae;g__;s__ +4317794 k__Bacteria;p__Firmicutes;c__Clostridia;o__Clostridiales;f__Clostridiaceae;g__;s__ +4318018 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Phyllobacteriaceae;g__Mesorhizobium;s__ +4318042 k__Bacteria;p__Bacteroidetes;c__Sphingobacteriia;o__Sphingobacteriales;f__Sphingobacteriaceae;g__;s__ +4318046 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__;g__;s__ +4318214 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +4318217 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__Flavisolibacter;s__ +4318219 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ +4318238 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Caulobacterales;f__Caulobacteraceae;g__;s__ +4318483 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Thermoactinomycetaceae;g__;s__ +4318690 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Rhodocyclales;f__Rhodocyclaceae;g__;s__ +4318692 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__[Exiguobacteraceae];g__;s__ +4318694 k__Bacteria;p__Firmicutes;c__Clostridia;o__Clostridiales;f__Veillonellaceae;g__Pelosinus;s__ +4318809 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +4319020 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__Polaromonas;s__ +4319209 k__Bacteria;p__Gemmatimonadetes;c__Gemmatimonadetes;o__Ellin5290;f__;g__;s__ +4319210 k__Bacteria;p__Gemmatimonadetes;c__Gemmatimonadetes;o__Ellin5290;f__;g__;s__ +4319239 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__;g__;s__ +4319244 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__DS-100;f__;g__;s__ +4319263 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Bradyrhizobiaceae;g__Balneimonas;s__ +4319478 k__Bacteria;p__TM6;c__SJA-4;o__;f__;g__;s__ +4319589 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__;s__ +4319591 k__Bacteria;p__Acidobacteria;c__iii1-8;o__DS-18;f__;g__;s__ +4319621 k__Bacteria;p__TM7;c__TM7-1;o__;f__;g__;s__ +4319933 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Caulobacterales;f__Caulobacteraceae;g__Phenylobacterium;s__ +4320065 k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__;s__ +4320170 k__Bacteria;p__TM7;c__TM7-1;o__;f__;g__;s__ +4320353 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Burkholderiaceae;g__;s__ +4320381 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Sinobacteraceae;g__;s__ +4320428 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__;g__;s__ +4320431 k__Bacteria;p__Acidobacteria;c__iii1-8;o__DS-18;f__;g__;s__ +4320436 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__Ellin6075;g__;s__ +4320467 k__Bacteria;p__Gemmatimonadetes;c__Gemmatimonadetes;o__;f__;g__;s__ +4320526 k__Bacteria;p__Bacteroidetes;c__Sphingobacteriia;o__Sphingobacteriales;f__Sphingobacteriaceae;g__;s__ +4320648 k__Bacteria;p__Actinobacteria;c__MB-A2-108;o__0319-7L14;f__;g__;s__ +4320966 k__Bacteria;p__Chloroflexi;c__Ktedonobacteria;o__Thermogemmatisporales;f__Thermogemmatisporaceae;g__;s__ +4321043 k__Bacteria;p__Actinobacteria;c__Acidimicrobiia;o__Acidimicrobiales;f__C111;g__;s__ +4321045 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__[Entotheonellales];f__[Entotheonellaceae];g__;s__ +4321049 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Bdellovibrionales;f__Bdellovibrionaceae;g__Bdellovibrio;s__ +4321316 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Xanthomonadaceae;g__Lysobacter;s__ +4321318 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Acetobacteraceae;g__;s__ +4321410 k__Bacteria;p__Firmicutes;c__Clostridia;o__Clostridiales;f__Veillonellaceae;g__;s__ +4321464 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Gaiellales;f__Gaiellaceae;g__;s__ +4321717 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__;g__;s__ +4321864 k__Bacteria;p__Bacteroidetes;c__Sphingobacteriia;o__Sphingobacteriales;f__Sphingobacteriaceae;g__;s__ +4322321 k__Bacteria;p__Cyanobacteria;c__Oscillatoriophycideae;o__Oscillatoriales;f__Phormidiaceae;g__Phormidium;s__ +4322410 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__Skermanella;s__ +4322414 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Burkholderiaceae;g__Burkholderia;s__ +4322506 k__Bacteria;p__Cyanobacteria;c__;o__;f__;g__;s__ +4322512 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__;g__;s__ +4322536 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__;g__;s__ +4322815 k__Bacteria;p__Acidobacteria;c__iii1-8;o__DS-18;f__;g__;s__ +4322858 k__Bacteria;p__Firmicutes;c__Bacilli;o__Lactobacillales;f__Streptococcaceae;g__Streptococcus;s__ +4322902 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +4322921 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Desulfuromonadales;f__Geobacteraceae;g__Geobacter;s__ +4323139 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__ +4323140 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__;g__;s__ +4323176 k__Bacteria;p__Bacteroidetes;c__Sphingobacteriia;o__Sphingobacteriales;f__Sphingobacteriaceae;g__;s__ +4323865 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Paenibacillaceae;g__Paenibacillus;s__lautus +4323887 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__Segetibacter;s__ +4324063 k__Bacteria;p__[Thermi];c__Deinococci;o__Deinococcales;f__Deinococcaceae;g__Deinococcus;s__ +4324314 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +4324733 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__;s__ +4324764 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +4324972 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Neisseriales;f__Neisseriaceae;g__;s__ +4325011 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__;s__ +4325231 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Acidobacteriaceae;g__;s__ +4325234 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__;s__ +4325272 k__Bacteria;p__Firmicutes;c__Bacilli;o__Lactobacillales;f__Streptococcaceae;g__Streptococcus;s__ +4325328 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Rhodocyclales;f__Rhodocyclaceae;g__;s__ +4325369 k__Bacteria;p__Bacteroidetes;c__Sphingobacteriia;o__Sphingobacteriales;f__;g__;s__ +4325371 k__Bacteria;p__Acidobacteria;c__RB25;o__;f__;g__;s__ +4325377 k__Bacteria;p__Firmicutes;c__Clostridia;o__Clostridiales;f__Veillonellaceae;g__Pelosinus;s__ +4325493 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Ellin6067;f__;g__;s__ +4325519 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Geodermatophilaceae;g__Modestobacter;s__ +4325926 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__;s__ +4326151 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__11-24;f__;g__;s__ +4326152 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ +4326208 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__;s__ +4326776 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Legionellales;f__Coxiellaceae;g__Aquicella;s__ +4326799 k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__Rhodocytophaga;s__ +4326975 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__;s__ +4326998 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__;g__;s__ +4327000 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__;g__;s__ +4327003 k__Bacteria;p__WPS-2;c__;o__;f__;g__;s__ +4327049 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Saprospiraceae;g__;s__ +4327063 k__Bacteria;p__Bacteroidetes;c__Bacteroidia;o__Bacteroidales;f__;g__;s__ +4327112 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__;s__ +4327297 k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__Adhaeribacter;s__ +4327452 k__Bacteria;p__Nitrospirae;c__Nitrospira;o__Nitrospirales;f__0319-6A21;g__;s__ +4327554 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Gaiellales;f__Gaiellaceae;g__;s__ +4327555 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__;g__;s__ +4327717 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +4327844 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Solirubrobacterales;f__Solirubrobacteraceae;g__;s__ +4327906 k__Bacteria;p__Bacteroidetes;c__Sphingobacteriia;o__Sphingobacteriales;f__Sphingobacteriaceae;g__;s__ +4327914 k__Bacteria;p__Verrucomicrobia;c__[Pedosphaerae];o__[Pedosphaerales];f__Ellin515;g__;s__ +4327995 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +4328135 k__Bacteria;p__Actinobacteria;c__OPB41;o__;f__;g__;s__ +4328366 k__Bacteria;p__Bacteroidetes;c__Flavobacteriia;o__Flavobacteriales;f__Cryomorphaceae;g__;s__ +4328457 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Erythrobacteraceae;g__;s__ +4328501 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Acidobacteriaceae;g__;s__ +4328715 k__Bacteria;p__TM7;c__TM7-1;o__;f__;g__;s__ +4328906 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Rhodocyclales;f__Rhodocyclaceae;g__;s__ +4329003 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__MIZ46;f__;g__;s__ +4329376 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Paenibacillaceae;g__Paenibacillus;s__ +4329518 k__Bacteria;p__Bacteroidetes;c__Flavobacteriia;o__Flavobacteriales;f__[Weeksellaceae];g__Chryseobacterium;s__ +4329542 k__Bacteria;p__Acidobacteria;c__Acidobacteria-5;o__;f__;g__;s__ +4329545 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__;g__;s__ +4329792 k__Bacteria;p__Cyanobacteria;c__;o__;f__;g__;s__ +4329857 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Bradyrhizobiaceae;g__;s__ +4329988 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__ +4330047 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +4330205 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__;g__;s__ +4330207 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__;s__ +4330293 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__;g__;s__ +4330296 k__Bacteria;p__Actinobacteria;c__Rubrobacteria;o__Rubrobacterales;f__Rubrobacteraceae;g__Rubrobacter;s__ +4330545 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__;g__;s__ +4330638 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__CCU21;f__;g__;s__ +4330856 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Caulobacterales;f__Caulobacteraceae;g__;s__ +4330963 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__;g__;s__ +4330994 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__Ellin7246;f__;g__;s__ +4331009 k__Bacteria;p__Gemmatimonadetes;c__Gemm-5;o__;f__;g__;s__ +4331067 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__;f__;g__;s__ +4331214 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Actinosynnemataceae;g__Saccharothrix;s__ +4331247 k__Bacteria;p__Tenericutes;c__Mollicutes;o__Anaeroplasmatales;f__Anaeroplasmataceae;g__Asteroleplasma;s__ +4331429 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Thermomonosporaceae;g__Actinoallomurus;s__iriomotensis +4331657 k__Bacteria;p__Gemmatimonadetes;c__Gemm-1;o__;f__;g__;s__ +4331744 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__;s__ +4331894 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Burkholderiaceae;g__;s__ +4331994 k__Bacteria;p__Chloroflexi;c__Ktedonobacteria;o__Thermogemmatisporales;f__Thermogemmatisporaceae;g__;s__ +4332047 k__Bacteria;p__Verrucomicrobia;c__[Pedosphaerae];o__[Pedosphaerales];f__Ellin517;g__;s__ +4332061 k__Bacteria;p__TM7;c__TM7-3;o__;f__;g__;s__ +4332073 k__Bacteria;p__Actinobacteria;c__OPB41;o__;f__;g__;s__ +4332202 k__Bacteria;p__Cyanobacteria;c__Chloroplast;o__Streptophyta;f__;g__;s__ +4332238 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__;g__;s__ +4332471 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Devosia;s__ +4332821 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Gallionellales;f__Gallionellaceae;g__Gallionella;s__ +4332928 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Saprospiraceae;g__;s__ +4332942 k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__;s__ +4332944 k__Bacteria;p__Gemmatimonadetes;c__Gemm-1;o__;f__;g__;s__ +4332971 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Oxalobacteraceae;g__;s__ +4332974 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__;f__;g__;s__ +4332977 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rickettsiales;f__;g__;s__ +4332978 k__Bacteria;p__Gemmatimonadetes;c__Gemmatimonadetes;o__;f__;g__;s__ +4332979 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Planococcaceae;g__;s__ +4333415 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +4333416 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Oxalobacteraceae;g__;s__ +4333666 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__Segetibacter;s__ +4333668 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__Segetibacter;s__ +4333669 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__Segetibacter;s__ +4333674 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__Segetibacter;s__ +4333969 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Rhodocyclales;f__Rhodocyclaceae;g__;s__ +4334085 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Syntrophobacterales;f__Syntrophaceae;g__Syntrophus;s__ +4334140 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Sphingobium;s__ +4334431 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__;s__ +4334625 k__Bacteria;p__Chloroflexi;c__Ellin6529;o__;f__;g__;s__ +4334725 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +4334792 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Oxalobacteraceae;g__Janthinobacterium;s__lividum +4334834 k__Bacteria;p__Actinobacteria;c__Acidimicrobiia;o__Acidimicrobiales;f__;g__;s__ +4334886 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +4334907 k__Bacteria;p__Bacteroidetes;c__Flavobacteriia;o__Flavobacteriales;f__Flavobacteriaceae;g__Flavobacterium;s__ +4335335 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +4335435 k__Bacteria;p__Gemmatimonadetes;c__Gemm-3;o__;f__;g__;s__ +4335437 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Solirubrobacterales;f__Solirubrobacteraceae;g__;s__ +4335446 k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__;s__ +4335676 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +4335725 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__Limnohabitans;s__ +4335779 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__;f__;g__;s__ +4335901 k__Bacteria;p__TM7;c__TM7-1;o__;f__;g__;s__ +4335936 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__;s__ +4336201 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__Ellin6075;g__;s__ +4336218 k__Bacteria;p__Actinobacteria;c__Acidimicrobiia;o__Acidimicrobiales;f__EB1017;g__;s__ +4336276 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ +4336436 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__Rubrivivax;s__ +4336476 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Streptomycetaceae;g__Streptomyces;s__ +4337150 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Pseudonocardiaceae;g__Saccharopolyspora;s__ +4337197 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +4337462 k__Bacteria;p__Acidobacteria;c__TM1;o__;f__;g__;s__ +4337621 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Paenibacillaceae;g__Paenibacillus;s__ +4337622 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Rhizobiaceae;g__Agrobacterium;s__ +4337631 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ +4337890 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Xanthomonadaceae;g__Lysobacter;s__ +4338511 k__Bacteria;p__Bacteroidetes;c__Flavobacteriia;o__Flavobacteriales;f__Flavobacteriaceae;g__Capnocytophaga;s__ +4338512 k__Bacteria;p__Bacteroidetes;c__Flavobacteriia;o__Flavobacteriales;f__Flavobacteriaceae;g__Capnocytophaga;s__ +4338566 k__Bacteria;p__Acidobacteria;c__DA052;o__Ellin6513;f__;g__;s__ +4338800 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__;g__;s__ +4338815 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +4339018 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__;g__;s__ +4339223 k__Bacteria;p__Acidobacteria;c__Acidobacteria-5;o__;f__;g__;s__ +4339275 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__ +4339286 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Gaiellales;f__Gaiellaceae;g__;s__ +4339349 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Nocardioidaceae;g__;s__ +4339351 k__Bacteria;p__Bacteroidetes;c__Sphingobacteriia;o__Sphingobacteriales;f__Sphingobacteriaceae;g__Pedobacter;s__ +4339417 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ +4339720 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Microbacteriaceae;g__Salinibacterium;s__ +4339765 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__;g__;s__ +4339767 k__Bacteria;p__OD1;c__SM2F11;o__;f__;g__;s__ +4339774 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__;g__;s__ +4340087 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Sporichthyaceae;g__;s__ +4340215 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__Leptothrix;s__ +4340285 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +4340381 k__Bacteria;p__Actinobacteria;c__MB-A2-108;o__0319-7L14;f__;g__;s__ +4340386 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__MND1;f__;g__;s__ +4340387 k__Bacteria;p__Planctomycetes;c__Phycisphaerae;o__Phycisphaerales;f__;g__;s__ +4340475 k__Bacteria;p__Bacteroidetes;c__Bacteroidia;o__Bacteroidales;f__;g__;s__ +4340498 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Cellulomonadaceae;g__Cellulomonas;s__xylanilytica +4340665 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Ellin6067;f__;g__;s__ +4340696 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__Telmatospirillum;s__ +4340706 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__Ellin6075;g__;s__ +4341171 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +4341330 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__Niastella;s__ +4341341 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__Flavisolibacter;s__ +4341344 k__Bacteria;p__Chloroflexi;c__Ellin6529;o__;f__;g__;s__ +4341461 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Caulobacterales;f__Caulobacteraceae;g__;s__ +4341463 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__;s__ +4341465 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__Myxococcaceae;g__;s__ +4341559 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +4341561 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__;s__ +4341657 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__;s__ +4341658 k__Bacteria;p__Chloroflexi;c__Anaerolineae;o__A31;f__S47;g__;s__ +4341661 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Rhodobiaceae;g__Afifella;s__ +4341662 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Solirubrobacterales;f__;g__;s__ +4341711 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Acidobacteriaceae;g__;s__ +4342107 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ +4342154 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__;s__ +4342308 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__;g__;s__ +4342312 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Bradyrhizobiaceae;g__;s__ +4342315 k__Bacteria;p__Cyanobacteria;c__;o__;f__;g__;s__ +4342316 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__;g__;s__ +4342317 k__Bacteria;p__Bacteroidetes;c__Sphingobacteriia;o__Sphingobacteriales;f__;g__;s__ +434250 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Beijerinckiaceae;g__;s__ +4342843 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__CCU21;f__;g__;s__ +4342881 k__Bacteria;p__Actinobacteria;c__MB-A2-108;o__0319-7L14;f__;g__;s__ +4342972 k__Bacteria;p__Verrucomicrobia;c__[Spartobacteria];o__[Chthoniobacterales];f__[Chthoniobacteraceae];g__DA101;s__ +4343047 k__Bacteria;p__Chloroflexi;c__Anaerolineae;o__envOPS12;f__;g__;s__ +4343194 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodobacterales;f__Rhodobacteraceae;g__Rubellimicrobium;s__ +4343392 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__;s__ +4343394 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Erythrobacteraceae;g__;s__ +4343457 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Xanthomonadaceae;g__Rhodanobacter;s__ +4343458 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Sinobacteraceae;g__;s__ +4343459 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__Candidatus Koribacter;s__ +4343647 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Propionibacteriaceae;g__Microlunatus;s__ +4343661 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Oxalobacteraceae;g__;s__ +4343672 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Phyllobacteriaceae;g__Aminobacter;s__ +4343834 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Pseudomonadales;f__Pseudomonadaceae;g__Pseudomonas;s__nitroreducens +4343854 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__;s__ +4343930 k__Bacteria;p__Acidobacteria;c__TM1;o__;f__;g__;s__ +4343936 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ +4343937 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ +4344055 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Acetobacteraceae;g__;s__ +4344056 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Oxalobacteraceae;g__Janthinobacterium;s__ +4344100 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ +4344241 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Phyllobacteriaceae;g__Mesorhizobium;s__huakuii +4344355 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__foraminis +4344472 k__Bacteria;p__Acidobacteria;c__Holophagae;o__Holophagales;f__Holophagaceae;g__;s__ +4344611 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__;s__ +4344614 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__;s__ +4344753 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__ +4344786 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Gaiellales;f__Gaiellaceae;g__;s__ +4344940 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ +4345033 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__;g__;s__ +4345237 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__;f__;g__;s__ +4345360 k__Bacteria;p__Tenericutes;c__Mollicutes;o__Anaeroplasmatales;f__Anaeroplasmataceae;g__Asteroleplasma;s__ +4345497 k__Bacteria;p__Actinobacteria;c__Acidimicrobiia;o__Acidimicrobiales;f__;g__;s__ +4345543 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Xanthomonadaceae;g__Pseudoxanthomonas;s__ +4345612 k__Bacteria;p__Actinobacteria;c__Acidimicrobiia;o__Acidimicrobiales;f__EB1017;g__;s__ +4345646 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__;g__;s__ +4345857 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__;g__;s__ +4345879 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ +4345881 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +4345884 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ +4345885 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +4346057 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__;g__;s__ +4346058 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__;g__;s__ +4346060 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__;g__;s__ +4346205 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__;g__;s__ +4346541 k__Bacteria;p__Acidobacteria;c__Acidobacteria-5;o__;f__;g__;s__ +4346564 k__Bacteria;p__Bacteroidetes;c__Flavobacteriia;o__Flavobacteriales;f__Flavobacteriaceae;g__Flavobacterium;s__ +4347189 k__Bacteria;p__TM7;c__TM7-1;o__;f__;g__;s__ +4347677 k__Bacteria;p__Gemmatimonadetes;c__Gemm-5;o__;f__;g__;s__ +4347733 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Caulobacterales;f__Caulobacteraceae;g__;s__ +4347953 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Acetobacteraceae;g__;s__ +4347970 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__Haliangiaceae;g__;s__ +4348098 k__Bacteria;p__Verrucomicrobia;c__Verrucomicrobiae;o__Verrucomicrobiales;f__Verrucomicrobiaceae;g__;s__ +4348101 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodobacterales;f__Rhodobacteraceae;g__Rubellimicrobium;s__ +4348104 k__Bacteria;p__Acidobacteria;c__PAUC37f;o__;f__;g__;s__ +4348358 k__Bacteria;p__Firmicutes;c__Clostridia;o__Clostridiales;f__Lachnospiraceae;g__Coprococcus;s__ +4348382 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Oxalobacteraceae;g__;s__ +4348417 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +4348508 k__Bacteria;p__Actinobacteria;c__Acidimicrobiia;o__Acidimicrobiales;f__;g__;s__ +4348666 k__Bacteria;p__Chloroflexi;c__Ktedonobacteria;o__Thermogemmatisporales;f__Thermogemmatisporaceae;g__;s__ +4348932 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__RB40;g__;s__ +4348936 k__Bacteria;p__Acidobacteria;c__PAUC37f;o__;f__;g__;s__ +4348943 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Rhodocyclales;f__Rhodocyclaceae;g__Zoogloea;s__ +4348946 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__;g__;s__ +4349120 k__Bacteria;p__TM7;c__;o__;f__;g__;s__ +4349212 k__Bacteria;p__Chloroflexi;c__TK10;o__B07_WMSP1;f__;g__;s__ +4349218 k__Bacteria;p__Chloroflexi;c__Anaerolineae;o__Caldilineales;f__Caldilineaceae;g__;s__ +4349251 k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__;s__ +4349320 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__Polaromonas;s__ +4349357 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__RB40;g__;s__ +4349557 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Alicyclobacillaceae;g__Alicyclobacillus;s__ +4349691 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Alicyclobacillaceae;g__Alicyclobacillus;s__ +4349733 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Solirubrobacterales;f__;g__;s__ +4349884 k__Bacteria;p__Cyanobacteria;c__Nostocophycideae;o__Nostocales;f__Nostocaceae;g__Nostoc;s__ +4350044 k__Bacteria;p__TM6;c__SJA-4;o__;f__;g__;s__ +4350243 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__RB40;g__;s__ +4350273 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__;g__;s__ +4350439 k__Bacteria;p__Bacteroidetes;c__Flavobacteriia;o__Flavobacteriales;f__Flavobacteriaceae;g__Flavobacterium;s__ +4350558 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__;s__ +4350559 k__Bacteria;p__Gemmatimonadetes;c__Gemm-1;o__;f__;g__;s__ +4350694 k__Bacteria;p__Verrucomicrobia;c__[Spartobacteria];o__[Chthoniobacterales];f__[Chthoniobacteraceae];g__Candidatus Xiphinematobacter;s__ +4350964 k__Bacteria;p__Actinobacteria;c__MB-A2-108;o__0319-7L14;f__;g__;s__ +4351272 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Acidobacteriaceae;g__;s__ +4351273 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__RB40;g__;s__ +4351616 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Pseudonocardiaceae;g__;s__ +4351648 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__;s__ +4351771 k__Bacteria;p__Actinobacteria;c__Acidimicrobiia;o__Acidimicrobiales;f__;g__;s__ +4351772 k__Bacteria;p__Gemmatimonadetes;c__Gemm-1;o__;f__;g__;s__ +4351849 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__;g__;s__ +4351920 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__;s__ +4352056 k__Bacteria;p__Armatimonadetes;c__Armatimonadia;o__Armatimonadales;f__Armatimonadaceae;g__;s__ +4352292 k__Bacteria;p__Planctomycetes;c__Phycisphaerae;o__WD2101;f__;g__;s__ +4352293 k__Bacteria;p__Gemmatimonadetes;c__Gemm-5;o__;f__;g__;s__ +4352522 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Acidobacteriaceae;g__;s__ +4353063 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__;g__;s__ +4353076 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Sinobacteraceae;g__Steroidobacter;s__ +4353325 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__;s__ +4353585 k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__Hymenobacter;s__ +4353904 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__;g__;s__ +4353943 k__Bacteria;p__TM6;c__SJA-4;o__;f__;g__;s__ +4353980 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__Skermanella;s__ +4353981 k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__;g__;s__ +4354333 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Nocardioidaceae;g__;s__ +4354368 k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__;s__ +4354496 k__Bacteria;p__TM6;c__SJA-4;o__;f__;g__;s__ +4354635 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ +4354769 k__Bacteria;p__Bacteroidetes;c__Flavobacteriia;o__Flavobacteriales;f__Flavobacteriaceae;g__Flavobacterium;s__ +4354822 k__Bacteria;p__Acidobacteria;c__Holophagae;o__Holophagales;f__Holophagaceae;g__Geothrix;s__ +4354842 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +4355675 k__Bacteria;p__Gemmatimonadetes;c__Gemm-2;o__;f__;g__;s__ +4355810 k__Bacteria;p__Actinobacteria;c__MB-A2-108;o__0319-7L14;f__;g__;s__ +4355811 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__;s__ +4356305 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ +4356361 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__Limnohabitans;s__ +4356396 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Rhizobiaceae;g__Agrobacterium;s__ +4356455 k__Bacteria;p__Gemmatimonadetes;c__Gemmatimonadetes;o__KD8-87;f__;g__;s__ +4356491 k__Bacteria;p__Firmicutes;c__Clostridia;o__Clostridiales;f__Ruminococcaceae;g__;s__ +4356578 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Solirubrobacterales;f__;g__;s__ +4356723 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__;g__;s__ +4356724 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Nocardioidaceae;g__;s__ +4357324 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Caulobacterales;f__Caulobacteraceae;g__Asticcacaulis;s__biprosthecium +4357677 k__Bacteria;p__Bacteroidetes;c__Sphingobacteriia;o__Sphingobacteriales;f__Sphingobacteriaceae;g__;s__ +4357733 k__Bacteria;p__TM7;c__TM7-1;o__;f__;g__;s__ +4357799 k__Bacteria;p__Actinobacteria;c__Nitriliruptoria;o__Euzebyales;f__Euzebyaceae;g__Euzebya;s__ +4357864 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +4357881 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__;s__ +4357886 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Methylocystaceae;g__Methylosinus;s__ +435795 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Saprospiraceae;g__;s__ +4357992 k__Bacteria;p__Bacteroidetes;c__Flavobacteriia;o__Flavobacteriales;f__[Weeksellaceae];g__Chryseobacterium;s__ +4358020 k__Bacteria;p__TM7;c__TM7-1;o__;f__;g__;s__ +4358096 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Oxalobacteraceae;g__Massilia;s__haematophila +4358275 k__Bacteria;p__Verrucomicrobia;c__[Spartobacteria];o__[Chthoniobacterales];f__[Chthoniobacteraceae];g__Candidatus Xiphinematobacter;s__ +4358484 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Kaistobacter;s__ +4358665 k__Bacteria;p__Tenericutes;c__Mollicutes;o__;f__;g__;s__ +4358701 k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__Adhaeribacter;s__ +4358716 k__Bacteria;p__Verrucomicrobia;c__[Spartobacteria];o__[Chthoniobacterales];f__[Chthoniobacteraceae];g__Chthoniobacter;s__ +4358809 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +4359062 k__Bacteria;p__Cyanobacteria;c__;o__;f__;g__;s__ +4359078 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__;g__;s__ +4359348 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__Rhodoferax;s__ +4359362 k__Bacteria;p__Actinobacteria;c__Acidimicrobiia;o__Acidimicrobiales;f__;g__;s__ +4359497 k__Bacteria;p__Gemmatimonadetes;c__Gemmatimonadetes;o__Ellin5290;f__;g__;s__ +4359608 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__;s__ +4359886 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Legionellales;f__;g__;s__ +4359887 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Acidobacteriaceae;g__;s__ +4359889 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ +4360284 k__Bacteria;p__Nitrospirae;c__Nitrospira;o__Nitrospirales;f__Nitrospiraceae;g__Nitrospira;s__ +4360319 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +4360323 k__Bacteria;p__TM7;c__TM7-1;o__;f__;g__;s__ +4360767 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +4360776 k__Bacteria;p__Firmicutes;c__Clostridia;o__Clostridiales;f__Clostridiaceae;g__Clostridium;s__ +4360814 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Rhodobiaceae;g__Afifella;s__ +4360818 k__Bacteria;p__Elusimicrobia;c__Elusimicrobia;o__FAC88;f__;g__;s__ +4361041 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__BD7-3;f__;g__;s__ +4361131 k__Bacteria;p__Verrucomicrobia;c__[Spartobacteria];o__[Chthoniobacterales];f__[Chthoniobacteraceae];g__OR-59;s__ +4361132 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__;f__;g__;s__ +4361133 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +4361153 k__Bacteria;p__Bacteroidetes;c__Sphingobacteriia;o__Sphingobacteriales;f__Sphingobacteriaceae;g__;s__ +4361327 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__Ellin6075;g__;s__ +4361340 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__;s__ +4361435 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Oxalobacteraceae;g__;s__ +4361436 k__Bacteria;p__Actinobacteria;c__MB-A2-108;o__0319-7L14;f__;g__;s__ +4361455 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Xanthomonadaceae;g__Lysobacter;s__ximonensis +4361561 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ +4361593 k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__Adhaeribacter;s__ +4361801 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +4361857 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Rhodocyclales;f__Rhodocyclaceae;g__;s__ +4361861 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__Polyangiaceae;g__;s__ +4362226 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__;s__ +4362383 k__Bacteria;p__Cyanobacteria;c__Nostocophycideae;o__Nostocales;f__Nostocaceae;g__Anabaena;s__cylindrica +4362556 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Bradyrhizobiaceae;g__Balneimonas;s__ +4362822 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Microbacteriaceae;g__Salinibacterium;s__ +4362899 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__;g__;s__ +4363027 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__;s__ +4363050 k__Bacteria;p__Acidobacteria;c__iii1-8;o__DS-18;f__;g__;s__ +4363070 k__Bacteria;p__Planctomycetes;c__Phycisphaerae;o__WD2101;f__;g__;s__ +4363347 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ +4363479 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__11-24;f__;g__;s__ +4363537 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Oxalobacteraceae;g__;s__ +4363845 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__Ellin6075;g__;s__ +4364255 k__Bacteria;p__Planctomycetes;c__Phycisphaerae;o__WD2101;f__;g__;s__ +4364412 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__;s__ +4364413 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Sphingomonas;s__ +4364577 k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__Adhaeribacter;s__ +4364578 k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__Adhaeribacter;s__ +4364580 k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__Adhaeribacter;s__ +4364718 k__Bacteria;p__Actinobacteria;c__Acidimicrobiia;o__Acidimicrobiales;f__;g__;s__ +4364814 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Corynebacteriaceae;g__Corynebacterium;s__ +4364838 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__Skermanella;s__ +4365064 k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__Adhaeribacter;s__ +4365209 k__Bacteria;p__Firmicutes;c__Clostridia;o__Clostridiales;f__Ruminococcaceae;g__;s__ +4365229 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Oxalobacteraceae;g__Janthinobacterium;s__ +4365306 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Bradyrhizobiaceae;g__;s__ +4365307 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__;f__;g__;s__ +4365370 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +4365374 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +436550 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__;s__ +4365894 k__Bacteria;p__Acidobacteria;c__Acidobacteria-5;o__;f__;g__;s__ +436590 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Sinobacteraceae;g__;s__ +4366002 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__;s__ +4366007 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +4366201 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ +4366203 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__;f__;g__;s__ +4366263 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Micromonosporaceae;g__Virgisporangium;s__ochraceum +4366345 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__;g__;s__ +4366403 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__Ellin6075;g__;s__ +4366419 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__;s__ +4366579 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__;g__;s__ +4366781 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__Ellin6075;g__;s__ +4366956 k__Bacteria;p__Bacteroidetes;c__Flavobacteriia;o__Flavobacteriales;f__Cryomorphaceae;g__;s__ +4367292 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__;g__;s__ +4367455 k__Bacteria;p__Bacteroidetes;c__Flavobacteriia;o__Flavobacteriales;f__Flavobacteriaceae;g__Flavobacterium;s__ +4367776 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +4367778 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__;s__ +4367782 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Acidobacteriaceae;g__;s__ +4367783 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__;s__ +4368271 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__SC-I-84;f__;g__;s__ +4369105 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Rhizobiaceae;g__Rhizobium;s__ +4369159 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Acidobacteriaceae;g__;s__ +4369229 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__;g__;s__ +4369470 k__Bacteria;p__Nitrospirae;c__Nitrospira;o__Nitrospirales;f__Nitrospiraceae;g__JG37-AG-70;s__ +4369489 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Pseudomonadales;f__Pseudomonadaceae;g__Pseudomonas;s__ +4369504 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__;s__ +4369506 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__;s__ +4369634 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Thermomonosporaceae;g__Actinomadura;s__vinacea +4369692 k__Bacteria;p__Bacteroidetes;c__Sphingobacteriia;o__Sphingobacteriales;f__Sphingobacteriaceae;g__;s__ +4369693 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ +4369694 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Bdellovibrionales;f__Bdellovibrionaceae;g__Bdellovibrio;s__ +4369748 k__Bacteria;p__Acidobacteria;c__iii1-8;o__DS-18;f__;g__;s__ +4369819 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__firmus +4369843 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__RB40;g__;s__ +4369880 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Legionellales;f__Coxiellaceae;g__;s__ +4370059 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__;s__ +4370064 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__;s__ +4370361 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__Flavihumibacter;s__ +4370473 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__MIZ46;f__;g__;s__ +4370555 k__Bacteria;p__Bacteroidetes;c__Bacteroidia;o__Bacteroidales;f__;g__;s__ +4370648 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Xanthomonadaceae;g__;s__ +4370717 k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__;s__ +4370736 k__Bacteria;p__Armatimonadetes;c__[Fimbriimonadia];o__[Fimbriimonadales];f__[Fimbriimonadaceae];g__;s__ +4370817 k__Bacteria;p__Gemmatimonadetes;c__Gemmatimonadetes;o__Gemmatimonadales;f__;g__;s__ +4371078 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ +4371222 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Pseudomonadales;f__Pseudomonadaceae;g__Pseudomonas;s__ +4371349 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Beijerinckiaceae;g__;s__ +4371434 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Streptomycetaceae;g__Streptomyces;s__ +4371472 k__Bacteria;p__Chloroflexi;c__TK17;o__;f__;g__;s__ +4371517 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__;g__;s__ +4371629 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +4372004 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Desulfuromonadales;f__Geobacteraceae;g__Geobacter;s__ +4372011 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Acidobacteriaceae;g__;s__ +4372149 k__Bacteria;p__TM7;c__TM7-1;o__;f__;g__;s__ +4372310 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Gaiellales;f__Gaiellaceae;g__;s__ +4372421 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Oxalobacteraceae;g__;s__ +4372503 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__RB40;g__;s__ +4373079 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__Flavisolibacter;s__ +4373378 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Glycomycetaceae;g__Glycomyces;s__ +4373456 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__;g__;s__ +4373613 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Sinobacteraceae;g__;s__ +4373617 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Sinobacteraceae;g__;s__ +4373680 k__Bacteria;p__Firmicutes;c__Bacilli;o__Lactobacillales;f__Streptococcaceae;g__Streptococcus;s__ +4373725 k__Bacteria;p__Chloroflexi;c__TK10;o__AKYG885;f__5B-12;g__;s__ +4374002 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodobacterales;f__Hyphomonadaceae;g__;s__ +4374050 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Syntrophobacterales;f__Syntrophobacteraceae;g__;s__ +4374090 k__Bacteria;p__Cyanobacteria;c__Nostocophycideae;o__Nostocales;f__Nostocaceae;g__;s__ +4374092 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Solirubrobacterales;f__Conexibacteraceae;g__;s__ +4374097 k__Bacteria;p__Actinobacteria;c__Acidimicrobiia;o__Acidimicrobiales;f__;g__;s__ +4374194 k__Bacteria;p__Firmicutes;c__Clostridia;o__Clostridiales;f__Clostridiaceae;g__Clostridium;s__ +4374729 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__;g__;s__ +4374731 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ +4374733 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +4374754 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +4375014 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ +4375037 k__Bacteria;p__Cyanobacteria;c__4C0d-2;o__MLE1-12;f__;g__;s__ +4376097 k__Bacteria;p__Gemmatimonadetes;c__Gemmatimonadetes;o__N1423WL;f__;g__;s__ +4376234 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Aeromonadales;f__Aeromonadaceae;g__;s__ +4376272 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +4376608 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Micromonosporaceae;g__Solwaraspora;s__ +4377099 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Bradyrhizobiaceae;g__;s__ +4377100 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Streptosporangiaceae;g__Nonomuraea;s__ +4377101 k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__;s__ +4377104 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Bradyrhizobiaceae;g__;s__ +4377105 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +4377106 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__Flavisolibacter;s__ +4377277 k__Bacteria;p__Gemmatimonadetes;c__Gemmatimonadetes;o__Ellin5290;f__;g__;s__ +4377284 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__;s__ +4377584 k__Bacteria;p__TM7;c__TM7-1;o__;f__;g__;s__ +4377639 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__mb2424;g__;s__ +4377841 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +4378219 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__mb2424;g__;s__ +4378592 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodobacterales;f__Rhodobacteraceae;g__Loktanella;s__ +4378646 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__;s__ +4378791 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__Flavisolibacter;s__ +4378940 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +4379512 k__Bacteria;p__Verrucomicrobia;c__Opitutae;o__Opitutales;f__Opitutaceae;g__Opitutus;s__ +4379538 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Sinobacteraceae;g__;s__ +4379732 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__Pelomonas;s__ +4379780 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__;g__;s__ +4379833 k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__;s__ +4379834 k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__Rhodocytophaga;s__ +4380227 k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__;s__ +4380319 k__Bacteria;p__Acidobacteria;c__iii1-8;o__DS-18;f__;g__;s__ +4380322 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__;f__;g__;s__ +4380399 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__MND1;f__;g__;s__ +4380416 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Sinobacteraceae;g__Hydrocarboniphaga;s__ +4380573 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ +4380971 k__Bacteria;p__Firmicutes;c__Clostridia;o__Clostridiales;f__Clostridiaceae;g__Clostridium;s__ +4381259 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +4381363 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ +4381370 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Acidobacteriaceae;g__;s__ +4381458 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__;s__ +4381473 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__;g__;s__ +4381529 k__Bacteria;p__Chloroflexi;c__Anaerolineae;o__envOPS12;f__;g__;s__ +4381543 k__Bacteria;p__Chloroflexi;c__Anaerolineae;o__Caldilineales;f__Caldilineaceae;g__;s__ +4381875 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Planococcaceae;g__Planomicrobium;s__ +4381878 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Planococcaceae;g__Planomicrobium;s__ +4381916 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +4382172 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__MIZ46;f__;g__;s__ +4382176 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__;s__ +4382183 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Syntrophobacterales;f__Syntrophobacteraceae;g__;s__ +4382186 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +4382187 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__;f__;g__;s__ +4382194 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +4382580 k__Bacteria;p__Bacteroidetes;c__Sphingobacteriia;o__Sphingobacteriales;f__Sphingobacteriaceae;g__;s__ +4382605 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +4382696 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +4382894 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Oxalobacteraceae;g__;s__ +4383015 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Kaistobacter;s__ +4383060 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__Haliangiaceae;g__;s__ +4383172 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Paenibacillaceae;g__Paenibacillus;s__ +4383656 k__Bacteria;p__Verrucomicrobia;c__[Pedosphaerae];o__[Pedosphaerales];f__Ellin515;g__;s__ +4383658 k__Bacteria;p__Verrucomicrobia;c__[Methylacidiphilae];o__S-BQ2-57;f__;g__;s__ +4383961 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Enterobacteriales;f__Enterobacteriaceae;g__;s__ +4384016 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__;s__ +4384068 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Micrococcaceae;g__Arthrobacter;s__ +4384233 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ +4384236 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +4384526 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__;s__ +4384621 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +4384648 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +4385067 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__thuringiensis +4385105 k__Bacteria;p__Verrucomicrobia;c__[Pedosphaerae];o__[Pedosphaerales];f__Ellin515;g__;s__ +4385422 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__;s__ +4385485 k__Bacteria;p__Verrucomicrobia;c__[Spartobacteria];o__[Chthoniobacterales];f__[Chthoniobacteraceae];g__DA101;s__ +4385633 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +4385959 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__;g__;s__ +4386060 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__MND1;f__;g__;s__ +4386220 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Phyllobacteriaceae;g__;s__ +4386443 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +4386592 k__Bacteria;p__Verrucomicrobia;c__[Spartobacteria];o__[Chthoniobacterales];f__[Chthoniobacteraceae];g__DA101;s__ +4386593 k__Bacteria;p__Firmicutes;c__Clostridia;o__Clostridiales;f__Clostridiaceae;g__Clostridium;s__ +4386631 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__Methylibium;s__ +4386675 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ +4386766 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__;f__;g__;s__ +4387050 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__Ramlibacter;s__ +4387051 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Ellin6067;f__;g__;s__ +4387263 k__Bacteria;p__Actinobacteria;c__Acidimicrobiia;o__Acidimicrobiales;f__;g__;s__ +4387303 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Streptomycetaceae;g__Streptomyces;s__ +4387422 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Devosia;s__ +4387516 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__;f__;g__;s__ +4387726 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__mb2424;g__;s__ +4387966 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ +4388003 k__Bacteria;p__Verrucomicrobia;c__[Pedosphaerae];o__[Pedosphaerales];f__;g__;s__ +4388081 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Streptomycetaceae;g__Streptomyces;s__mirabilis +4388439 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__;s__ +4388659 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__;g__;s__ +4388776 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Acetobacteraceae;g__;s__ +4388819 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Bradyrhizobiaceae;g__Bradyrhizobium;s__ +4389227 k__Bacteria;p__Acidobacteria;c__iii1-8;o__32-20;f__;g__;s__ +4389302 k__Bacteria;p__MVP-21;c__;o__;f__;g__;s__ +4389407 k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__;s__ +4389633 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__flexus +4389637 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Desulfuromonadales;f__Geobacteraceae;g__Geobacter;s__ +4389643 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Rhodocyclales;f__Rhodocyclaceae;g__;s__ +4389886 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__;g__;s__ +4389969 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__CCU21;f__;g__;s__ +4389972 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__;g__;s__ +4389974 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__RB40;g__;s__ +4390206 k__Bacteria;p__Chloroflexi;c__Anaerolineae;o__SBR1031;f__A4b;g__;s__ +4390387 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__;f__;g__;s__ +4390467 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Saprospiraceae;g__;s__ +4390506 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Syntrophobacterales;f__Syntrophobacteraceae;g__;s__ +4390512 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__;g__;s__ +4390723 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Mycobacteriaceae;g__Mycobacterium;s__ +4390806 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__mb2424;g__;s__ +4390890 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +4390891 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +4390905 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__;s__ +4391034 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__;s__ +4391549 k__Bacteria;p__Bacteroidetes;c__Sphingobacteriia;o__Sphingobacteriales;f__Sphingobacteriaceae;g__;s__ +4391550 k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__Pontibacter;s__ +4391597 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__Ellin6075;g__;s__ +4391625 k__Bacteria;p__Firmicutes;c__Clostridia;o__Clostridiales;f__Veillonellaceae;g__Veillonella;s__parvula +4391672 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__humi +4391683 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__;s__ +4391684 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__;s__ +4391816 k__Bacteria;p__Actinobacteria;c__Rubrobacteria;o__Rubrobacterales;f__Rubrobacteraceae;g__;s__ +4392019 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Burkholderiaceae;g__Burkholderia;s__ +4392229 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Pseudomonadales;f__Pseudomonadaceae;g__Pseudomonas;s__ +4392233 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Pseudomonadales;f__Pseudomonadaceae;g__Pseudomonas;s__ +4392369 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__;g__;s__ +4392458 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Planococcaceae;g__Sporosarcina;s__ +4392804 k__Bacteria;p__Acidobacteria;c__Acidobacteria-5;o__;f__;g__;s__ +4393102 k__Bacteria;p__Gemmatimonadetes;c__Gemmatimonadetes;o__KD8-87;f__;g__;s__ +4393265 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__MND1;f__;g__;s__ +4393662 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +4393663 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__Candidatus Koribacter;s__ +4393666 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Acidobacteriaceae;g__;s__ +4393742 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__;s__ +4393791 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +4393921 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Gaiellales;f__Gaiellaceae;g__;s__ +4394170 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__;g__;s__ +4394171 k__Bacteria;p__FBP;c__;o__;f__;g__;s__ +4394173 k__Bacteria;p__Nitrospirae;c__Nitrospira;o__Nitrospirales;f__0319-6A21;g__;s__ +4394371 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +4394552 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__Candidatus Koribacter;s__ +4394791 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__[Exiguobacteraceae];g__;s__ +4394945 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__;s__ +4395040 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__[Bryobacteraceae];g__;s__ +4395599 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__BD7-3;f__;g__;s__ +4395995 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__Ramlibacter;s__ +4396022 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Planococcaceae;g__Sporosarcina;s__ +4396040 k__Bacteria;p__Chloroflexi;c__Anaerolineae;o__envOPS12;f__;g__;s__ +4396265 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__Flavisolibacter;s__ +4396338 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rickettsiales;f__Rickettsiaceae;g__;s__ +4396361 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Gaiellales;f__AK1AB1_02E;g__;s__ +4396454 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__Methylibium;s__ +4396488 k__Bacteria;p__TM6;c__SJA-4;o__;f__;g__;s__ +4396851 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__11-24;f__;g__;s__ +4396926 k__Bacteria;p__Nitrospirae;c__Nitrospira;o__Nitrospirales;f__0319-6A21;g__;s__ +4397025 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Alteromonadales;f__Alteromonadaceae;g__Marinobacter;s__ +4397087 k__Bacteria;p__Bacteroidetes;c__Sphingobacteriia;o__Sphingobacteriales;f__Sphingobacteriaceae;g__Mucilaginibacter;s__gracilis +4397258 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__Ellin6075;g__;s__ +4397593 k__Bacteria;p__Actinobacteria;c__Rubrobacteria;o__Rubrobacterales;f__Rubrobacteraceae;g__Rubrobacter;s__ +4397847 k__Bacteria;p__Chloroflexi;c__Anaerolineae;o__Ardenscatenales;f__Ardenscatenaceae;g__Ardenscatena;s__ +4397849 k__Bacteria;p__Elusimicrobia;c__Elusimicrobia;o__MVP-88;f__;g__;s__ +4397905 k__Bacteria;p__TM7;c__TM7-3;o__;f__;g__;s__ +4397932 k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__;s__ +4397941 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ +4398257 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__DS-100;f__;g__;s__ +4398570 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Bdellovibrionales;f__Bdellovibrionaceae;g__Bdellovibrio;s__ +4398656 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__;s__ +4398658 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__;s__ +4398706 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__;g__;s__ +4399091 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__;g__;s__ +4399094 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Bradyrhizobiaceae;g__Balneimonas;s__ +4399407 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__A21b;f__EB1003;g__;s__ +4399453 k__Bacteria;p__Firmicutes;c__Clostridia;o__Clostridiales;f__Clostridiaceae;g__;s__ +4400097 k__Bacteria;p__Bacteroidetes;c__Flavobacteriia;o__Flavobacteriales;f__Flavobacteriaceae;g__Flavobacterium;s__ +4400903 k__Bacteria;p__Acidobacteria;c__iii1-8;o__32-20;f__;g__;s__ +4401025 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Acidobacteriaceae;g__;s__ +4401307 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ +4401488 k__Bacteria;p__Acidobacteria;c__Acidobacteria-5;o__;f__;g__;s__ +4401528 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__Ellin6075;g__;s__ +4401531 k__Bacteria;p__TM7;c__TM7-1;o__;f__;g__;s__ +4401816 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Micrococcaceae;g__;s__ +4401857 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Enterobacteriales;f__Enterobacteriaceae;g__Dickeya;s__ +4401901 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__[Exiguobacteraceae];g__;s__ +4401903 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Rhodocyclales;f__Rhodocyclaceae;g__KD1-23;s__ +4401981 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Sinobacteraceae;g__;s__ +4401982 k__Bacteria;p__Nitrospirae;c__Nitrospira;o__Nitrospirales;f__Nitrospiraceae;g__;s__ +4401984 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__Flavisolibacter;s__ +4401989 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Neisseriales;f__Neisseriaceae;g__;s__ +4402103 k__Bacteria;p__Acidobacteria;c__Acidobacteria-5;o__;f__;g__;s__ +4402202 k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__Hymenobacter;s__ +4402381 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__RB40;g__;s__ +4402382 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +4402421 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__;s__ +4402520 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__Methylibium;s__ +4402665 k__Bacteria;p__Planctomycetes;c__Planctomycetia;o__B97;f__;g__;s__ +4402734 k__Bacteria;p__Cyanobacteria;c__Chloroplast;o__Stramenopiles;f__;g__;s__ +4402890 k__Bacteria;p__Chloroflexi;c__Thermomicrobia;o__JG30-KF-CM45;f__;g__;s__ +4402892 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__;s__ +4402900 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ +4402996 k__Bacteria;p__Acidobacteria;c__RB25;o__;f__;g__;s__ +4403245 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Oxalobacteraceae;g__;s__ +4403247 k__Bacteria;p__Actinobacteria;c__Rubrobacteria;o__Rubrobacterales;f__Rubrobacteraceae;g__Rubrobacter;s__ +4403531 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Oxalobacteraceae;g__;s__ +4403535 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__[Entotheonellales];f__[Entotheonellaceae];g__Candidatus Entotheonella;s__ +4404405 k__Bacteria;p__Firmicutes;c__Bacilli;o__Lactobacillales;f__Carnobacteriaceae;g__Desemzia;s__ +4404464 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Saprospiraceae;g__;s__ +4404498 k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__Hymenobacter;s__ +4404738 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +4404811 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Rhodobiaceae;g__Afifella;s__ +4405436 k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__Hymenobacter;s__ +4405443 k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__;s__ +4405449 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__;g__;s__ +4405546 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Neisseriales;f__Neisseriaceae;g__Pseudogulbenkiania;s__subflava +4405637 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +4405710 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Acidobacteriaceae;g__;s__ +4405717 k__Bacteria;p__Planctomycetes;c__Phycisphaerae;o__Phycisphaerales;f__;g__;s__ +4405848 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Pseudonocardiaceae;g__;s__ +4405879 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodobacterales;f__Rhodobacteraceae;g__Rubellimicrobium;s__ +4406105 k__Bacteria;p__TM7;c__TM7-1;o__;f__;g__;s__ +4406289 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__;s__ +4406763 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__ +4406764 k__Bacteria;p__Gemmatimonadetes;c__Gemm-5;o__;f__;g__;s__ +4406766 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__;s__ +4406794 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ +4407182 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Streptomycetaceae;g__Streptomyces;s__ +4407231 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Desulfuromonadales;f__Geobacteraceae;g__Geobacter;s__ +4407397 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__;g__;s__ +4407475 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Cellulomonadaceae;g__Demequina;s__ +4408112 k__Bacteria;p__Planctomycetes;c__BD7-11;o__;f__;g__;s__ +4408165 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +4408363 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__CCU21;f__;g__;s__ +4408439 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__;g__;s__ +4409236 k__Bacteria;p__Acidobacteria;c__Sva0725;o__Sva0725;f__;g__;s__ +4409730 k__Bacteria;p__Firmicutes;c__Clostridia;o__Clostridiales;f__Peptostreptococcaceae;g__;s__ +4409759 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Rhizobiaceae;g__Rhizobium;s__ +4409769 k__Bacteria;p__Chloroflexi;c__Anaerolineae;o__SBR1031;f__A4b;g__;s__ +4409770 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__;s__ +4409771 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__;s__ +4409900 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Pseudonocardiaceae;g__Pseudonocardia;s__ +4409905 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__Ellin6075;g__;s__ +4409906 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__;s__ +4409907 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Solirubrobacterales;f__;g__;s__ +4409939 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +4410196 k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__;s__ +4410245 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rickettsiales;f__mitochondria;g__Diplazium;s__pycnocarpon +4411 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Acetobacteraceae;g__;s__ +4411088 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__;g__;s__ +4411140 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__;g__;s__ +4411669 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__Flavisolibacter;s__ +4411867 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__ +4412020 k__Bacteria;p__TM7;c__TM7-1;o__;f__;g__;s__ +4412141 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Xanthomonadaceae;g__;s__ +4412229 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Paenibacillaceae;g__Paenibacillus;s__ +4412825 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Pseudonocardiaceae;g__Pseudonocardia;s__ +4412860 k__Bacteria;p__Cyanobacteria;c__Chloroplast;o__Streptophyta;f__;g__;s__ +4412910 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__;s__ +4412915 k__Bacteria;p__TM7;c__TM7-1;o__;f__;g__;s__ +4413 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Acetobacteraceae;g__;s__ +4413363 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Sinobacteraceae;g__;s__ +4413490 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +4413720 k__Bacteria;p__Chloroflexi;c__Ellin6529;o__;f__;g__;s__ +4414004 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Acidobacteriaceae;g__;s__ +4414009 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ +4414354 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__Ellin6075;g__;s__ +4414605 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Xanthomonadaceae;g__Lysobacter;s__ +4414674 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__PK29;f__;g__;s__ +4414706 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__Candidatus Koribacter;s__ +4414775 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ +4414840 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__RB40;g__;s__ +4414872 k__Bacteria;p__Armatimonadetes;c__[Fimbriimonadia];o__[Fimbriimonadales];f__[Fimbriimonadaceae];g__Fimbriimonas;s__ +4414886 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__mb2424;g__;s__ +4415229 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +4415232 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Saprospiraceae;g__;s__ +4415360 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__;s__ +4416562 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Enterobacteriales;f__Enterobacteriaceae;g__;s__ +4416843 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__;f__;g__;s__ +4416927 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Bradyrhizobiaceae;g__Balneimonas;s__ +4416961 k__Bacteria;p__Planctomycetes;c__Phycisphaerae;o__WD2101;f__;g__;s__ +4416962 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +4416974 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Syntrophobacterales;f__Syntrophobacteraceae;g__;s__ +4416996 k__Bacteria;p__Planctomycetes;c__Phycisphaerae;o__Phycisphaerales;f__;g__;s__ +4416997 k__Bacteria;p__Planctomycetes;c__Phycisphaerae;o__Phycisphaerales;f__;g__;s__ +4417364 k__Bacteria;p__Actinobacteria;c__MB-A2-108;o__0319-7L14;f__;g__;s__ +4417388 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Actinosynnemataceae;g__Saccharothrix;s__ +4417400 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__MND1;f__;g__;s__ +4417475 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Ellin329;f__;g__;s__ +4417599 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Syntrophobacterales;f__Syntrophobacteraceae;g__;s__ +4417958 k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__;s__ +4418001 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ +4418002 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__;s__ +4418269 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__Ellin6075;g__;s__ +4418275 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +4418338 k__Bacteria;p__TM6;c__SJA-4;o__;f__;g__;s__ +4418495 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__BD7-3;f__;g__;s__ +4418684 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Methylocystaceae;g__;s__ +4418695 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Caulobacterales;f__Caulobacteraceae;g__Phenylobacterium;s__ +4418696 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Gaiellales;f__Gaiellaceae;g__;s__ +4418895 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Pseudomonadales;f__Moraxellaceae;g__;s__ +4419009 k__Bacteria;p__Nitrospirae;c__Nitrospira;o__Nitrospirales;f__0319-6A21;g__;s__ +4419011 k__Bacteria;p__Nitrospirae;c__Nitrospira;o__Nitrospirales;f__0319-6A21;g__;s__ +4419107 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Bradyrhizobiaceae;g__;s__ +4419153 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +4419154 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__mb2424;g__;s__ +4419238 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +4419473 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Solirubrobacterales;f__Patulibacteraceae;g__;s__ +4420125 k__Bacteria;p__Acidobacteria;c__S035;o__;f__;g__;s__ +4420130 k__Bacteria;p__Chloroflexi;c__Anaerolineae;o__S0208;f__;g__;s__ +4420556 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Beijerinckiaceae;g__;s__ +4420559 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Gaiellales;f__Gaiellaceae;g__;s__ +4420590 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Xanthomonadaceae;g__;s__ +4421011 k__Bacteria;p__Cyanobacteria;c__;o__;f__;g__;s__ +4421238 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__;g__;s__ +4421369 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__Ellin6075;g__;s__ +4421370 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +4421371 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Kaistobacter;s__ +4421372 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Ellin6067;f__;g__;s__ +44216 k__Bacteria;p__Planctomycetes;c__Phycisphaerae;o__WD2101;f__;g__;s__ +4421749 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Burkholderiaceae;g__Burkholderia;s__ +4421805 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Microbacteriaceae;g__Salinibacterium;s__ +4421846 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Sinobacteraceae;g__;s__ +4421858 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__ +4422290 k__Bacteria;p__Bacteroidetes;c__Sphingobacteriia;o__Sphingobacteriales;f__Sphingobacteriaceae;g__;s__ +4422296 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Solirubrobacterales;f__;g__;s__ +4422317 k__Bacteria;p__Acidobacteria;c__DA052;o__Ellin6513;f__;g__;s__ +4422320 k__Bacteria;p__TM6;c__SJA-4;o__;f__;g__;s__ +4422321 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__;s__ +4422404 k__Bacteria;p__TM6;c__SJA-4;o__;f__;g__;s__ +4422420 k__Bacteria;p__Nitrospirae;c__Nitrospira;o__Nitrospirales;f__Nitrospiraceae;g__;s__ +4422707 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__Azospirillum;s__ +4422810 k__Bacteria;p__Actinobacteria;c__Acidimicrobiia;o__Acidimicrobiales;f__;g__;s__ +4423331 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__;g__;s__ +4423597 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__;s__ +4423681 k__Bacteria;p__Gemmatimonadetes;c__Gemmatimonadetes;o__N1423WL;f__;g__;s__ +4423750 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__Sediminibacterium;s__ +4423774 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Desulfuromonadales;f__Geobacteraceae;g__Geobacter;s__ +4424081 k__Bacteria;p__Firmicutes;c__Clostridia;o__Clostridiales;f__Ruminococcaceae;g__Ethanoligenens;s__ +4424409 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Methylophilales;f__Methylophilaceae;g__;s__ +4424553 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__;s__ +4424782 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__;s__ +4424785 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +4424841 k__Bacteria;p__WPS-2;c__;o__;f__;g__;s__ +4424843 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Acidobacteriaceae;g__;s__ +4424865 k__Bacteria;p__Firmicutes;c__Clostridia;o__Clostridiales;f__Clostridiaceae;g__;s__ +4424963 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Sinobacteraceae;g__;s__ +442501 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Paenibacillaceae;g__Paenibacillus;s__ +4425219 k__Bacteria;p__Chloroflexi;c__P2-11E;o__;f__;g__;s__ +442533 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +4425394 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Pseudomonadales;f__Moraxellaceae;g__;s__ +4425447 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Nocardioidaceae;g__;s__ +4425615 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Methylocystaceae;g__Pleomorphomonas;s__ +4425629 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Oxalobacteraceae;g__;s__ +4425807 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__;s__ +4425840 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__Ellin6075;g__;s__ +4425841 k__Bacteria;p__Actinobacteria;c__Rubrobacteria;o__Rubrobacterales;f__Rubrobacteraceae;g__Rubrobacter;s__ +4425896 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Caulobacterales;f__Caulobacteraceae;g__;s__ +4425901 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +4426193 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Streptomycetaceae;g__Streptomyces;s__ +4426208 k__Bacteria;p__FCPU426;c__;o__;f__;g__;s__ +4426211 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Sinobacteraceae;g__;s__ +4426256 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__;s__ +4426289 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Solirubrobacterales;f__Patulibacteraceae;g__;s__ +4426730 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__Haliangiaceae;g__;s__ +4426766 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +4426791 k__Bacteria;p__Planctomycetes;c__Phycisphaerae;o__WD2101;f__;g__;s__ +4426923 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Acidobacteriaceae;g__;s__ +4426972 k__Bacteria;p__Bacteroidetes;c__Sphingobacteriia;o__Sphingobacteriales;f__Sphingobacteriaceae;g__;s__ +4427084 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +4427329 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Rhodobiaceae;g__Afifella;s__ +4427473 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__Ellin6075;g__;s__ +4427517 k__Bacteria;p__Bacteroidetes;c__Sphingobacteriia;o__Sphingobacteriales;f__Sphingobacteriaceae;g__;s__ +4427664 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__;s__ +4427666 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__;f__;g__;s__ +4427676 k__Bacteria;p__Bacteroidetes;c__Sphingobacteriia;o__Sphingobacteriales;f__;g__;s__ +4427708 k__Bacteria;p__Acidobacteria;c__iii1-8;o__DS-18;f__;g__;s__ +4427802 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Paenibacillaceae;g__Brevibacillus;s__ +4428066 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__Haliangiaceae;g__Haliangium;s__ +4428137 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Legionellales;f__;g__;s__ +4428250 k__Bacteria;p__Acidobacteria;c__BPC102;o__MVS-40;f__;g__;s__ +4428562 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__Ellin6075;g__;s__ +4428563 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__Ellin6075;g__;s__ +4428771 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__RB40;g__;s__ +4428774 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__RB40;g__;s__ +4428775 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +4428854 k__Bacteria;p__Actinobacteria;c__Acidimicrobiia;o__Acidimicrobiales;f__;g__;s__ +4429026 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +4429154 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Rhodobiaceae;g__;s__ +4429439 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Gaiellales;f__Gaiellaceae;g__;s__ +4429453 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__RB40;g__;s__ +4429750 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__;g__;s__ +4429803 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Pseudonocardiaceae;g__Pseudonocardia;s__ +4429835 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Solirubrobacterales;f__;g__;s__ +4429840 k__Bacteria;p__Firmicutes;c__Clostridia;o__Clostridiales;f__Ruminococcaceae;g__;s__ +4429854 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Methylobacteriaceae;g__;s__ +4429884 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ +4430134 k__Bacteria;p__TM7;c__;o__;f__;g__;s__ +4430299 k__Bacteria;p__TM7;c__;o__;f__;g__;s__ +4430568 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Acidobacteriaceae;g__;s__ +4430679 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Burkholderiaceae;g__Burkholderia;s__ +4430681 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Enterobacteriales;f__Enterobacteriaceae;g__Erwinia;s__ +4430938 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +4430956 k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__Rhodocytophaga;s__ +4431018 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Solirubrobacterales;f__Conexibacteraceae;g__;s__ +4431178 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Rhizobiaceae;g__Agrobacterium;s__ +4431277 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Caulobacterales;f__Caulobacteraceae;g__;s__ +4431516 k__Bacteria;p__OD1;c__SM2F11;o__;f__;g__;s__ +4431630 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Rhodocyclales;f__Rhodocyclaceae;g__;s__ +4431704 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__;s__ +4431803 k__Bacteria;p__Cyanobacteria;c__Chloroplast;o__Streptophyta;f__;g__;s__ +4432362 k__Bacteria;p__Cyanobacteria;c__Chloroplast;o__Streptophyta;f__;g__;s__ +4432472 k__Bacteria;p__TM7;c__TM7-1;o__;f__;g__;s__ +4432483 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__Haliangiaceae;g__Haliangium;s__ +4432544 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +4432545 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__;g__;s__ +4432662 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Microbacteriaceae;g__Curtobacterium;s__ +4432665 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +4432778 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Alteromonadales;f__OM60;g__;s__ +4432944 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__Ellin6075;g__;s__ +4433029 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Oxalobacteraceae;g__;s__ +4433034 k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__;s__ +4433409 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__DS-100;f__;g__;s__ +4433485 k__Bacteria;p__Bacteroidetes;c__Flavobacteriia;o__Flavobacteriales;f__Flavobacteriaceae;g__Flavobacterium;s__ +4433509 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__SC-I-84;f__;g__;s__ +4433512 k__Bacteria;p__Chloroflexi;c__Ellin6529;o__;f__;g__;s__ +4433573 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__ +4433574 k__Bacteria;p__Chloroflexi;c__Ellin6529;o__;f__;g__;s__ +4433575 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__;g__;s__ +4433579 k__Bacteria;p__Cyanobacteria;c__;o__;f__;g__;s__ +4433661 k__Bacteria;p__Planctomycetes;c__Phycisphaerae;o__WD2101;f__;g__;s__ +4433961 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__RB40;g__;s__ +4434039 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__;g__;s__ +4434112 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__ +4434342 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +4434346 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__CCU21;f__;g__;s__ +4434347 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +4434699 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__PK29;f__;g__;s__ +4434780 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +4434809 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__;g__;s__ +4434859 k__Bacteria;p__Acidobacteria;c__Sva0725;o__Sva0725;f__;g__;s__ +4434862 k__Bacteria;p__Chloroflexi;c__Anaerolineae;o__Caldilineales;f__Caldilineaceae;g__;s__ +4434889 k__Bacteria;p__Acidobacteria;c__Sva0725;o__Sva0725;f__;g__;s__ +4434910 k__Bacteria;p__Actinobacteria;c__Acidimicrobiia;o__Acidimicrobiales;f__;g__;s__ +4435098 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Pedomicrobium;s__ +4435455 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__;s__ +4435494 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Desulfuromonadales;f__Geobacteraceae;g__Geobacter;s__ +4436669 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Thermoactinomycetaceae;g__;s__ +4436708 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__MIZ46;f__;g__;s__ +4436954 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Devosia;s__ +4436960 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +4437013 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Streptomycetaceae;g__Streptomyces;s__ +4437172 k__Bacteria;p__Planctomycetes;c__Phycisphaerae;o__Phycisphaerales;f__;g__;s__ +4437184 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodobacterales;f__Hyphomonadaceae;g__;s__ +4437185 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__MND1;f__;g__;s__ +4437186 k__Bacteria;p__WS3;c__PRR-12;o__Sediment-1;f__;g__;s__ +4437187 k__Bacteria;p__Acidobacteria;c__Acidobacteria-5;o__;f__;g__;s__ +4437411 k__Bacteria;p__Actinobacteria;c__MB-A2-108;o__0319-7L14;f__;g__;s__ +4437557 k__Bacteria;p__Actinobacteria;c__MB-A2-108;o__0319-7L14;f__;g__;s__ +4437581 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Kaistobacter;s__ +4437583 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Kaistobacter;s__ +4437839 k__Bacteria;p__Actinobacteria;c__Acidimicrobiia;o__Acidimicrobiales;f__;g__;s__ +4437895 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Erythrobacteraceae;g__;s__ +4437901 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__;g__;s__ +4437903 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Sinobacteraceae;g__;s__ +4437938 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__;g__;s__ +4438361 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__;g__;s__ +4438613 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Rhodocyclales;f__Rhodocyclaceae;g__;s__ +4438887 k__Bacteria;p__Chlorobi;c__SJA-28;o__;f__;g__;s__ +4439227 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Rhodobiaceae;g__Afifella;s__ +4439343 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__;s__ +4439345 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__;f__;g__;s__ +4439477 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +4439479 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__Haliangiaceae;g__;s__ +4439482 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Thiotrichales;f__Piscirickettsiaceae;g__;s__ +4439805 k__Bacteria;p__Fibrobacteres;c__Fibrobacteria;o__258ds10;f__;g__;s__ +4439808 k__Bacteria;p__OD1;c__ZB2;o__;f__;g__;s__ +4439836 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__;f__;g__;s__ +4439865 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__Candidatus Koribacter;s__ +4439869 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__;s__ +4440067 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__;g__;s__ +4440071 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ +4440251 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Oxalobacteraceae;g__Janthinobacterium;s__lividum +4440262 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__MND1;f__;g__;s__ +4440396 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Acidobacteriaceae;g__;s__ +4440462 k__Bacteria;p__Actinobacteria;c__MB-A2-108;o__0319-7L14;f__;g__;s__ +4440517 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__;f__;g__;s__ +4440570 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Streptomycetaceae;g__Streptomyces;s__ +4440607 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__;g__;s__ +4440611 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__;g__;s__ +4440616 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__;g__;s__ +4440638 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__;g__;s__ +4440944 k__Bacteria;p__Bacteroidetes;c__Bacteroidia;o__Bacteroidales;f__Porphyromonadaceae;g__Dysgonomonas;s__ +4441019 k__Bacteria;p__Actinobacteria;c__MB-A2-108;o__0319-7L14;f__;g__;s__ +4441255 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__;s__ +4441552 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__cereus +4442046 k__Bacteria;p__Acidobacteria;c__iii1-8;o__DS-18;f__;g__;s__ +4442090 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +4442093 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__mb2424;g__;s__ +4442148 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +4442419 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__ +4442601 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__Ellin6075;g__;s__ +4443378 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +4443379 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__PK29;f__;g__;s__ +4443757 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Oxalobacteraceae;g__;s__ +44440 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Sphingobium;s__ +4444046 k__Bacteria;p__Actinobacteria;c__Acidimicrobiia;o__Acidimicrobiales;f__;g__;s__ +4444121 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Gaiellales;f__Gaiellaceae;g__;s__ +4444764 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Solirubrobacterales;f__;g__;s__ +4445096 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Oxalobacteraceae;g__;s__ +4445104 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Oxalobacteraceae;g__;s__ +4445349 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__;g__;s__ +4445768 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +4446 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Acetobacteraceae;g__;s__ +4446003 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__;g__;s__ +4446019 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +4446022 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Oxalobacteraceae;g__Herminiimonas;s__ +4446106 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +4446108 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Microbacteriaceae;g__Agromyces;s__ +4446111 k__Bacteria;p__TM7;c__TM7-1;o__;f__;g__;s__ +4446270 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +4446637 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ +4446652 k__Bacteria;p__Acidobacteria;c__Sva0725;o__Sva0725;f__;g__;s__ +4447049 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__Ellin6075;g__;s__ +4447214 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Acidobacteriaceae;g__;s__ +4447334 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Kaistobacter;s__ +4447485 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__;g__;s__ +4447717 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__;g__;s__ +4448095 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Mycobacteriaceae;g__Mycobacterium;s__ +4448321 k__Bacteria;p__Actinobacteria;c__Rubrobacteria;o__Rubrobacterales;f__Rubrobacteraceae;g__Rubrobacter;s__ +4448407 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Burkholderiaceae;g__Burkholderia;s__ +4448457 k__Bacteria;p__Firmicutes;c__Bacilli;o__Lactobacillales;f__Streptococcaceae;g__Streptococcus;s__ +4448576 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__RB40;g__;s__ +4448785 k__Bacteria;p__Firmicutes;c__Clostridia;o__Clostridiales;f__Veillonellaceae;g__Pelosinus;s__ +4449288 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Micrococcaceae;g__;s__ +4449456 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Pseudomonadales;f__Moraxellaceae;g__Acinetobacter;s__guillouiae +4449464 k__Bacteria;p__Actinobacteria;c__Acidimicrobiia;o__Acidimicrobiales;f__;g__;s__ +4450230 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Nocardiaceae;g__Nocardia;s__ +4450296 k__Bacteria;p__Firmicutes;c__Clostridia;o__Clostridiales;f__Clostridiaceae;g__;s__ +4450676 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ +4450823 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__;s__ +4450831 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +4450912 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__A21b;f__UD5;g__;s__ +4451087 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__ +4451157 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Sinobacteraceae;g__;s__ +4451407 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +4451433 k__Bacteria;p__Actinobacteria;c__Acidimicrobiia;o__Acidimicrobiales;f__AKIW874;g__;s__ +4451463 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Oxalobacteraceae;g__Cupriavidus;s__ +4451545 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Bradyrhizobiaceae;g__;s__ +4451552 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__Ellin6075;g__;s__ +4451761 k__Bacteria;p__Acidobacteria;c__RB25;o__;f__;g__;s__ +4452379 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Chromatiales;f__;g__;s__ +4452632 k__Bacteria;p__Firmicutes;c__Clostridia;o__Clostridiales;f__Clostridiaceae;g__Clostridium;s__ +4452696 k__Bacteria;p__Planctomycetes;c__Planctomycetia;o__Gemmatales;f__Gemmataceae;g__;s__ +4452721 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Devosia;s__ +4452842 k__Bacteria;p__Firmicutes;c__Clostridia;o__Clostridiales;f__Clostridiaceae;g__Clostridium;s__ +4452897 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__;g__;s__ +4453282 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__;s__ +4453465 k__Bacteria;p__AD3;c__ABS-6;o__;f__;g__;s__ +4453470 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__;s__ +4453471 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Acidobacteriaceae;g__;s__ +4453684 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Sinobacteraceae;g__;s__ +4453722 k__Bacteria;p__TM7;c__TM7-3;o__Blgi18;f__;g__;s__ +4453774 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Streptosporangiaceae;g__Streptosporangium;s__ +4453895 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__;s__ +4453949 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Rhizobiaceae;g__;s__ +4453972 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Kaistobacter;s__ +4454012 k__Bacteria;p__Acidobacteria;c__EC1113;o__;f__;g__;s__ +4454013 k__Bacteria;p__Acidobacteria;c__TM1;o__;f__;g__;s__ +4454016 k__Bacteria;p__Acidobacteria;c__EC1113;o__;f__;g__;s__ +4454276 k__Bacteria;p__Acidobacteria;c__iii1-8;o__DS-18;f__;g__;s__ +4454564 k__Bacteria;p__Firmicutes;c__Clostridia;o__Clostridiales;f__Lachnospiraceae;g__Coprococcus;s__ +4455576 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Caulobacterales;f__Caulobacteraceae;g__;s__ +4455860 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Sinobacteraceae;g__;s__ +4455982 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Microbacteriaceae;g__;s__ +4456018 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ +4456042 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Desulfuromonadales;f__Geobacteraceae;g__Geobacter;s__ +4456068 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__Variovorax;s__paradoxus +4456185 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Planococcaceae;g__;s__ +4456187 k__Bacteria;p__BHI80-139;c__;o__;f__;g__;s__ +4456632 k__Bacteria;p__Elusimicrobia;c__Elusimicrobia;o__FAC88;f__;g__;s__ +4456633 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__Ellin6075;g__;s__ +4456637 k__Bacteria;p__Acidobacteria;c__iii1-8;o__DS-18;f__;g__;s__ +4456710 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__mb2424;g__;s__ +4456886 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__muralis +4456936 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__11-24;f__;g__;s__ +4457283 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +4457287 k__Bacteria;p__Nitrospirae;c__Nitrospira;o__Nitrospirales;f__Nitrospiraceae;g__;s__ +4457840 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Acidobacteriaceae;g__;s__ +4457889 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Micromonosporaceae;g__;s__ +4457893 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__;g__;s__ +4458013 k__Bacteria;p__Gemmatimonadetes;c__Gemmatimonadetes;o__;f__;g__;s__ +4458047 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__;s__ +4458212 k__Bacteria;p__Gemmatimonadetes;c__Gemm-2;o__;f__;g__;s__ +4458214 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Nocardioidaceae;g__;s__ +4458222 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__Myxococcaceae;g__;s__ +4458223 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__ +4458277 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__;s__ +4458424 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__;s__ +4458460 k__Bacteria;p__Actinobacteria;c__Acidimicrobiia;o__Acidimicrobiales;f__C111;g__;s__ +4458581 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ +4458583 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Nitrosomonadales;f__;g__;s__ +445860 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +4458776 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Microbacteriaceae;g__Microbacterium;s__chocolatum +4458848 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__0319-6G20;g__;s__ +4458917 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__ +4458982 k__Bacteria;p__TM7;c__TM7-1;o__;f__;g__;s__ +4458984 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__Flavisolibacter;s__ +4459003 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__RB40;g__;s__ +4459144 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__;s__ +4459146 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +4459206 k__Bacteria;p__Bacteroidetes;c__Flavobacteriia;o__Flavobacteriales;f__Flavobacteriaceae;g__Flavobacterium;s__ +4459406 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__MND1;f__;g__;s__ +4460179 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Pseudomonadales;f__Moraxellaceae;g__Acinetobacter;s__ +4460502 k__Bacteria;p__TM7;c__SC3;o__;f__;g__;s__ +4460855 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Legionellales;f__;g__;s__ +4460872 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +4461093 k__Bacteria;p__Gemmatimonadetes;c__Gemm-1;o__;f__;g__;s__ +4461165 k__Bacteria;p__Armatimonadetes;c__Armatimonadia;o__Armatimonadales;f__Armatimonadaceae;g__;s__ +4461204 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__;s__ +4461208 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Micrococcaceae;g__;s__ +4461505 k__Bacteria;p__Gemmatimonadetes;c__Gemm-3;o__;f__;g__;s__ +4461506 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__;g__;s__ +4461508 k__Bacteria;p__Bacteroidetes;c__Flavobacteriia;o__Flavobacteriales;f__Flavobacteriaceae;g__Flavobacterium;s__ +4461509 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__Polyangiaceae;g__;s__ +4461517 k__Bacteria;p__Bacteroidetes;c__Sphingobacteriia;o__Sphingobacteriales;f__;g__;s__ +4461578 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Planococcaceae;g__Planomicrobium;s__ +4461579 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +4461703 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__Haliangiaceae;g__;s__ +4461996 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__;s__ +4462470 k__Bacteria;p__Cyanobacteria;c__Chloroplast;o__Streptophyta;f__;g__;s__ +4462590 k__Bacteria;p__TM7;c__TM7-1;o__;f__;g__;s__ +4462831 k__Bacteria;p__Acidobacteria;c__Acidobacteria-5;o__;f__;g__;s__ +4463047 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__;s__ +4463100 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Saprospiraceae;g__;s__ +4463531 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Burkholderiaceae;g__Burkholderia;s__ +4463629 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +4463684 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +4464461 k__Bacteria;p__Chloroflexi;c__Anaerolineae;o__S0208;f__;g__;s__ +4464526 k__Bacteria;p__Actinobacteria;c__Acidimicrobiia;o__Acidimicrobiales;f__;g__;s__ +4464810 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Gaiellales;f__Gaiellaceae;g__;s__ +4464871 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +4465309 k__Bacteria;p__Actinobacteria;c__Acidimicrobiia;o__Acidimicrobiales;f__EB1017;g__;s__ +4465329 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Saprospiraceae;g__;s__ +4465496 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Solirubrobacterales;f__;g__;s__ +4465677 k__Bacteria;p__Acidobacteria;c__iii1-8;o__DS-18;f__;g__;s__ +4465746 k__Bacteria;p__Firmicutes;c__Clostridia;o__Clostridiales;f__Clostridiaceae;g__SMB53;s__ +4465887 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__PK29;f__;g__;s__ +4465896 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Kaistobacter;s__ +4466051 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Desulfuromonadales;f__Geobacteraceae;g__;s__ +4466061 k__Bacteria;p__Actinobacteria;c__Rubrobacteria;o__Rubrobacterales;f__Rubrobacteraceae;g__Rubrobacter;s__ +4466196 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Propionibacteriaceae;g__Microlunatus;s__ +4466206 k__Bacteria;p__Firmicutes;c__Clostridia;o__Clostridiales;f__Peptococcaceae;g__Desulfosporosinus;s__meridiei +4466453 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__mb2424;g__;s__ +4466529 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__;g__;s__ +4466618 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Enterobacteriales;f__Enterobacteriaceae;g__Erwinia;s__ +4467002 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Erythrobacteraceae;g__;s__ +4467056 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Cellulomonadaceae;g__Actinotalea;s__ +4467260 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__RB40;g__;s__ +4467399 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Desulfuromonadales;f__Geobacteraceae;g__Geobacter;s__ +4467413 k__Bacteria;p__Chlorobi;c__SJA-28;o__;f__;g__;s__ +4467414 k__Bacteria;p__Bacteroidetes;c__Flavobacteriia;o__Flavobacteriales;f__Flavobacteriaceae;g__Flavobacterium;s__ +4467439 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Streptomycetaceae;g__Streptomyces;s__ +4467745 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__;f__;g__;s__ +4467774 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Propionibacteriaceae;g__Propionibacterium;s__acnes +4468095 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__;s__ +4468097 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +4468101 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Sinobacteraceae;g__;s__ +4468199 k__Bacteria;p__Verrucomicrobia;c__[Pedosphaerae];o__[Pedosphaerales];f__Ellin517;g__;s__ +4468200 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__;g__;s__ +4468432 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Ellin6067;f__;g__;s__ +4468453 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Bdellovibrionales;f__Bdellovibrionaceae;g__Bdellovibrio;s__ +4469214 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__foraminis +4469355 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__Limnohabitans;s__ +4469420 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Enterobacteriales;f__Enterobacteriaceae;g__;s__ +4469792 k__Bacteria;p__TM7;c__TM7-1;o__;f__;g__;s__ +4470139 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Geodermatophilaceae;g__;s__ +4470401 k__Bacteria;p__AD3;c__ABS-6;o__;f__;g__;s__ +4470475 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +4470500 k__Bacteria;p__Bacteroidetes;c__Flavobacteriia;o__Flavobacteriales;f__Flavobacteriaceae;g__Flavobacterium;s__ +4470894 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__;g__;s__ +4471194 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__[Entotheonellales];f__[Entotheonellaceae];g__Candidatus Entotheonella;s__ +4471547 k__Bacteria;p__Cyanobacteria;c__Nostocophycideae;o__Nostocales;f__Nostocaceae;g__;s__ +4471551 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__;g__;s__ +4471583 k__Bacteria;p__Verrucomicrobia;c__[Spartobacteria];o__[Chthoniobacterales];f__[Chthoniobacteraceae];g__DA101;s__ +4471635 k__Bacteria;p__Actinobacteria;c__Rubrobacteria;o__Rubrobacterales;f__Rubrobacteraceae;g__Rubrobacter;s__ +4471636 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__;f__;g__;s__ +4471717 k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__Adhaeribacter;s__ +4472087 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +4472711 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Ellin329;f__;g__;s__ +4472715 k__Bacteria;p__Nitrospirae;c__Nitrospira;o__Nitrospirales;f__Nitrospiraceae;g__;s__ +4472969 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__;g__;s__ +4472979 k__Bacteria;p__Acidobacteria;c__TM1;o__;f__;g__;s__ +4473175 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Burkholderiaceae;g__Salinispora;s__tropica +4473275 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ +4473276 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Rhodobiaceae;g__Afifella;s__ +4473277 k__Bacteria;p__Gemmatimonadetes;c__Gemmatimonadetes;o__KD8-87;f__;g__;s__ +447341 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__Ellin6075;g__;s__ +4473444 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__;s__ +4473645 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Oxalobacteraceae;g__;s__ +4473647 k__Bacteria;p__FBP;c__;o__;f__;g__;s__ +4473685 k__Bacteria;p__Tenericutes;c__Mollicutes;o__Anaeroplasmatales;f__Anaeroplasmataceae;g__Asteroleplasma;s__ +4474081 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Rhodocyclales;f__Rhodocyclaceae;g__;s__ +4474226 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__MIZ46;f__;g__;s__ +4474264 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Pseudonocardiaceae;g__;s__ +4474485 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__ +4474674 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Gaiellales;f__Gaiellaceae;g__;s__ +4474736 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Microbacteriaceae;g__Microbacterium;s__ +4474749 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__;f__;g__;s__ +4474906 k__Bacteria;p__Planctomycetes;c__Planctomycetia;o__Gemmatales;f__Isosphaeraceae;g__;s__ +4475022 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__;g__;s__ +4475319 k__Bacteria;p__Verrucomicrobia;c__[Pedosphaerae];o__[Pedosphaerales];f__[Pedosphaeraceae];g__Pedosphaera;s__ +4475802 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ +4475886 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Oxalobacteraceae;g__Janthinobacterium;s__ +4476079 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Solirubrobacterales;f__;g__;s__ +4476688 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Xanthomonadaceae;g__Dokdonella;s__ +4476713 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__Flavisolibacter;s__ +4476742 k__Bacteria;p__Acidobacteria;c__iii1-8;o__DS-18;f__;g__;s__ +4476744 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ +4476745 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Microbacteriaceae;g__;s__ +4476746 k__Bacteria;p__Gemmatimonadetes;c__Gemmatimonadetes;o__N1423WL;f__;g__;s__ +4476843 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__;g__;s__ +4476852 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Desulfobacterales;f__Desulfobacteraceae;g__;s__ +4476891 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Erythrobacteraceae;g__;s__ +4477066 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__RB40;g__;s__ +4477112 k__Bacteria;p__WS2;c__SHA-109;o__;f__;g__;s__ +4477119 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Syntrophobacterales;f__Syntrophobacteraceae;g__;s__ +4477127 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Bdellovibrionales;f__Bdellovibrionaceae;g__Bdellovibrio;s__ +447724 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Oxalobacteraceae;g__;s__ +4477340 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__;s__ +4477341 k__Bacteria;p__Chloroflexi;c__Anaerolineae;o__SBR1031;f__A4b;g__;s__ +4477959 k__Bacteria;p__Acidobacteria;c__iii1-8;o__SJA-36;f__;g__;s__ +4477963 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Legionellales;f__Legionellaceae;g__;s__ +4477964 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Legionellales;f__Legionellaceae;g__;s__ +4477998 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__MIZ46;f__;g__;s__ +4477999 k__Bacteria;p__Firmicutes;c__Clostridia;o__Clostridiales;f__Clostridiaceae;g__Clostridium;s__bowmanii +4478053 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +4478278 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__;f__;g__;s__ +4478282 k__Bacteria;p__Acidobacteria;c__DA052;o__Ellin6513;f__;g__;s__ +4478413 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +4478425 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Planococcaceae;g__Planomicrobium;s__ +4478605 k__Bacteria;p__Firmicutes;c__Clostridia;o__Clostridiales;f__Lachnospiraceae;g__Coprococcus;s__ +4478649 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Nocardioidaceae;g__Nocardioides;s__ +4478794 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__;s__ +4478795 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__mb2424;g__;s__ +4479035 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Solirubrobacterales;f__;g__;s__ +4479100 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Gaiellales;f__Gaiellaceae;g__;s__ +4479241 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__Telmatospirillum;s__ +4479286 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__Flavisolibacter;s__ +4479485 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__;s__ +4479507 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__;g__;s__ +4479606 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Microbacteriaceae;g__Agromyces;s__ +4479671 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Syntrophobacterales;f__Syntrophobacteraceae;g__;s__ +4479935 k__Bacteria;p__Chloroflexi;c__S085;o__;f__;g__;s__ +4480006 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__Candidatus Koribacter;s__ +4480121 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__;g__;s__ +4480595 k__Bacteria;p__Actinobacteria;c__Acidimicrobiia;o__Acidimicrobiales;f__EB1017;g__;s__ +4480648 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +4480650 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__;s__ +4480701 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__;g__;s__ +4480703 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Rhodobiaceae;g__Afifella;s__ +4480705 k__Bacteria;p__Verrucomicrobia;c__[Pedosphaerae];o__[Pedosphaerales];f__;g__;s__ +4480958 k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__Adhaeribacter;s__ +4481234 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__;s__ +4481422 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +4481606 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Pseudomonadales;f__Pseudomonadaceae;g__Pseudomonas;s__ +4481986 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ +4482023 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ +4482309 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Acetobacteraceae;g__;s__ +4482584 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Legionellales;f__Coxiellaceae;g__;s__ +4482705 k__Bacteria;p__Gemmatimonadetes;c__Gemm-1;o__;f__;g__;s__ +4483034 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__;g__;s__ +4483288 k__Bacteria;p__FBP;c__;o__;f__;g__;s__ +4483373 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Caulobacterales;f__Caulobacteraceae;g__;s__ +4483533 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__BD7-3;f__;g__;s__ +4483735 k__Bacteria;p__GN02;c__GKS2-174;o__;f__;g__;s__ +4483838 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__;s__ +4483956 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__;g__;s__ +4483958 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Solirubrobacterales;f__;g__;s__ +4484193 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Xanthomonadaceae;g__;s__ +4484245 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +4484276 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__;g__;s__ +450309 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Bradyrhizobiaceae;g__Afipia;s__ +451696 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Brucellaceae;g__Ochrobactrum;s__ +45591 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Acidobacteriaceae;g__;s__ +45765 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Legionellales;f__;g__;s__ +45827 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Bradyrhizobiaceae;g__Bradyrhizobium;s__ +4614 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Pedomicrobium;s__australicum +4632 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Hyphomicrobium;s__zavarzinii +463607 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Sphingomonas;s__wittichii +46444 k__Bacteria;p__Acidobacteria;c__DA052;o__Ellin6513;f__;g__;s__ +4680 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__elegans +4681 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ +46832 k__Bacteria;p__Verrucomicrobia;c__[Spartobacteria];o__[Chthoniobacterales];f__[Chthoniobacteraceae];g__DA101;s__ +47677 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Streptomycetaceae;g__Streptomyces;s__ +4827 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__;g__;s__ +48487 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__;g__;s__ +48811 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Alteromonadales;f__Alteromonadaceae;g__Cellvibrio;s__ +489354 k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__Spirosoma;s__ +489865 k__Bacteria;p__Bacteroidetes;c__Flavobacteriia;o__Flavobacteriales;f__Flavobacteriaceae;g__Flavobacterium;s__ +49147 k__Bacteria;p__TM7;c__TM7-1;o__;f__;g__;s__ +494185 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Thermoactinomycetaceae;g__Shimazuella;s__ +49501 k__Bacteria;p__Bacteroidetes;c__Bacteroidia;o__Bacteroidales;f__;g__;s__ +499851 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Legionellales;f__Legionellaceae;g__;s__ +49998 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Burkholderiaceae;g__Burkholderia;s__ +501824 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Nocardioidaceae;g__;s__ +50190 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Sphingomonas;s__ +502999 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Devosia;s__ +508780 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ +508821 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__Candidatus Koribacter;s__ +508826 k__Bacteria;p__TM7;c__SC3;o__;f__;g__;s__ +509021 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Sphingobium;s__ +509038 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Alcaligenaceae;g__;s__ +509120 k__Bacteria;p__Elusimicrobia;c__Elusimicrobia;o__FAC88;f__;g__;s__ +509179 k__Bacteria;p__WPS-2;c__;o__;f__;g__;s__ +509342 k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__;s__ +509374 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__;s__ +509440 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__MIZ46;f__;g__;s__ +509487 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Pseudonocardiaceae;g__Pseudonocardia;s__ +509578 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__;s__ +509622 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Sinobacteraceae;g__;s__ +509684 k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__;s__ +509733 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__;f__;g__;s__ +509792 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Gallionellales;f__Gallionellaceae;g__Gallionella;s__ +509796 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +509843 k__Bacteria;p__Planctomycetes;c__Planctomycetia;o__Pirellulales;f__Pirellulaceae;g__;s__ +509881 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Solirubrobacterales;f__;g__;s__ +509891 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Acetobacteraceae;g__;s__ +509916 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__Ellin6075;g__;s__ +509980 k__Bacteria;p__Acidobacteria;c__iii1-8;o__DS-18;f__;g__;s__ +509991 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__;g__;s__ +510265 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +510316 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ +510383 k__Bacteria;p__Acidobacteria;c__DA052;o__Ellin6513;f__;g__;s__ +510452 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +510471 k__Bacteria;p__Chloroflexi;c__Chloroflexi;o__[Roseiflexales];f__[Kouleothrixaceae];g__;s__ +510547 k__Bacteria;p__Actinobacteria;c__Acidimicrobiia;o__Acidimicrobiales;f__;g__;s__ +510555 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__;s__ +510591 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +510901 k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__Spirosoma;s__ +5110 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Phyllobacteriaceae;g__Mesorhizobium;s__ +511022 k__Bacteria;p__Verrucomicrobia;c__[Methylacidiphilae];o__Methylacidiphilales;f__;g__;s__ +511024 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__;g__;s__ +511074 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__;g__;s__ +511150 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Bdellovibrionales;f__Bacteriovoracaceae;g__;s__ +511182 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__SC-I-84;f__;g__;s__ +511192 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Bradyrhizobiaceae;g__;s__ +511219 k__Bacteria;p__Proteobacteria;c__;o__;f__;g__;s__ +511344 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ +511366 k__Bacteria;p__Actinobacteria;c__Rubrobacteria;o__Rubrobacterales;f__Rubrobacteraceae;g__Rubrobacter;s__ +511370 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__;f__;g__;s__ +511514 k__Bacteria;p__Gemmatimonadetes;c__Gemmatimonadetes;o__Ellin5290;f__;g__;s__ +511572 k__Bacteria;p__Actinobacteria;c__Rubrobacteria;o__Rubrobacterales;f__Rubrobacteraceae;g__Rubrobacter;s__ +511627 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ +511651 k__Bacteria;p__Gemmatimonadetes;c__Gemm-5;o__;f__;g__;s__ +511685 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Acidobacteriaceae;g__;s__ +511706 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +511916 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Alcaligenaceae;g__;s__ +512006 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Acidobacteriaceae;g__;s__ +512030 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Gaiellales;f__Gaiellaceae;g__;s__ +512091 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__;g__;s__ +512226 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +512382 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__;s__ +512395 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Rhizobiaceae;g__Sinorhizobium;s__ +512400 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__NB1-j;f__NB1-i;g__;s__ +512499 k__Bacteria;p__Actinobacteria;c__Acidimicrobiia;o__Acidimicrobiales;f__;g__;s__ +512676 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Acetobacteraceae;g__;s__ +512708 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rickettsiales;f__;g__;s__ +512727 k__Bacteria;p__Bacteroidetes;c__Sphingobacteriia;o__Sphingobacteriales;f__Sphingobacteriaceae;g__;s__ +512797 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__SBla14;f__;g__;s__ +513055 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Sinobacteraceae;g__Steroidobacter;s__ +513073 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Hyphomicrobium;s__ +513102 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__;g__;s__ +513175 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Micromonosporaceae;g__;s__ +513222 k__Bacteria;p__Chlorobi;c__SJA-28;o__;f__;g__;s__ +513355 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Saprospiraceae;g__;s__ +513398 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__Segetibacter;s__ +513426 k__Bacteria;p__Acidobacteria;c__Acidobacteria-5;o__;f__;g__;s__ +513591 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__;s__ +513760 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Gaiellales;f__Gaiellaceae;g__;s__ +513798 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Ellin6067;f__;g__;s__ +513940 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__;s__ +513958 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__;f__;g__;s__ +513965 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__SC-I-84;f__;g__;s__ +514000 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Acetobacteraceae;g__;s__ +514040 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__;s__ +514041 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Kaistobacter;s__ +514053 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Sinobacteraceae;g__;s__ +514085 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__SC-I-84;f__;g__;s__ +514316 k__Bacteria;p__Gemmatimonadetes;c__Gemmatimonadetes;o__;f__;g__;s__ +514449 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Legionellales;f__Coxiellaceae;g__;s__ +514711 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Mycobacteriaceae;g__Mycobacterium;s__celatum +515209 k__Bacteria;p__TM7;c__TM7-1;o__;f__;g__;s__ +515598 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Legionellales;f__Coxiellaceae;g__;s__ +515635 k__Bacteria;p__Planctomycetes;c__Planctomycetia;o__Pirellulales;f__Pirellulaceae;g__;s__ +515638 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Planococcaceae;g__Solibacillus;s__ +515709 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ +5158 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Phyllobacteriaceae;g__Phyllobacterium;s__ +516198 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Neisseriales;f__Neisseriaceae;g__Neisseria;s__ +516554 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Sinobacteraceae;g__Nevskia;s__ +516561 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Actinosynnemataceae;g__;s__ +517058 k__Bacteria;p__WS3;c__PRR-12;o__Sediment-1;f__;g__;s__ +517399 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Nocardioidaceae;g__;s__ +517841 k__Bacteria;p__Chloroflexi;c__Anaerolineae;o__SBR1031;f__oc28;g__;s__ +517972 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Rhodocyclales;f__Rhodocyclaceae;g__Thauera;s__ +518198 k__Bacteria;p__Nitrospirae;c__Nitrospira;o__Nitrospirales;f__Nitrospiraceae;g__Nitrospira;s__ +518263 k__Bacteria;p__Chloroflexi;c__C0119;o__;f__;g__;s__ +518474 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Legionellales;f__Legionellaceae;g__Legionella;s__ +518645 k__Bacteria;p__Actinobacteria;c__Acidimicrobiia;o__Acidimicrobiales;f__;g__;s__ +518661 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Phyllobacteriaceae;g__;s__ +518694 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__SC-I-84;f__;g__;s__ +518809 k__Bacteria;p__TM7;c__TM7-1;o__;f__;g__;s__ +518864 k__Bacteria;p__Planctomycetes;c__OM190;o__agg27;f__;g__;s__ +518990 k__Bacteria;p__TM6;c__SJA-4;o__;f__;g__;s__ +519510 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__;g__;s__ +519625 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__Sediminibacterium;s__ +520139 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Gallionellales;f__Gallionellaceae;g__Gallionella;s__ +520320 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Planococcaceae;g__;s__ +52053 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ +520587 k__Bacteria;p__Acidobacteria;c__DA052;o__Ellin6513;f__;g__;s__ +520638 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__ +520961 k__Bacteria;p__TM7;c__TM7-3;o__;f__;g__;s__ +521208 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__;s__ +522046 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Acetobacteraceae;g__;s__ +523098 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__;s__ +523224 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Bradyrhizobiaceae;g__;s__ +523593 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Streptomycetaceae;g__Streptomyces;s__ +523618 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__flexus +523680 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Micromonosporaceae;g__;s__ +52380 k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__Hymenobacter;s__ +524203 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__;s__ +524555 k__Bacteria;p__TM6;c__SJA-4;o__;f__;g__;s__ +524595 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Legionellales;f__Coxiellaceae;g__Rickettsiella;s__ +524739 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__Chitinophaga;s__ +525648 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__;g__;s__ +526168 k__Bacteria;p__Armatimonadetes;c__[Fimbriimonadia];o__[Fimbriimonadales];f__;g__;s__ +526994 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Micromonosporaceae;g__Virgisporangium;s__ochraceum +527154 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__;g__;s__ +527397 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Sinobacteraceae;g__;s__ +527601 k__Bacteria;p__Bacteroidetes;c__Sphingobacteriia;o__Sphingobacteriales;f__;g__;s__ +528049 k__Bacteria;p__OD1;c__ABY1;o__;f__;g__;s__ +528336 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +528577 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__Variovorax;s__ +528713 k__Bacteria;p__Acidobacteria;c__DA052;o__Ellin6513;f__;g__;s__ +529233 k__Bacteria;p__Firmicutes;c__Bacilli;o__Lactobacillales;f__Streptococcaceae;g__Streptococcus;s__ +529296 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Legionellales;f__Coxiellaceae;g__Aquicella;s__ +529365 k__Bacteria;p__Acidobacteria;c__DA052;o__Ellin6513;f__;g__;s__ +5294 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Rhizobiaceae;g__Rhizobium;s__ +529644 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__SC-I-84;f__;g__;s__ +529762 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Mycobacteriaceae;g__Mycobacterium;s__ +529793 k__Bacteria;p__Actinobacteria;c__Acidimicrobiia;o__Acidimicrobiales;f__EB1017;g__;s__ +529888 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Pedomicrobium;s__ +530059 k__Bacteria;p__Acidobacteria;c__DA052;o__Ellin6513;f__;g__;s__ +531358 k__Bacteria;p__OD1;c__ZB2;o__;f__;g__;s__ +531378 k__Bacteria;p__Elusimicrobia;c__Elusimicrobia;o__FAC88;f__;g__;s__ +531776 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__Candidatus Koribacter;s__ +532139 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__MND1;f__;g__;s__ +532331 k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__;s__ +532624 k__Bacteria;p__Actinobacteria;c__Acidimicrobiia;o__Acidimicrobiales;f__;g__;s__ +532638 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Microbacteriaceae;g__Agromyces;s__ +532665 k__Bacteria;p__TM7;c__TM7-1;o__;f__;g__;s__ +532743 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__Flavisolibacter;s__ +532831 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__RB40;g__;s__ +532888 k__Bacteria;p__Cyanobacteria;c__Chloroplast;o__Stramenopiles;f__;g__;s__ +532991 k__Bacteria;p__Gemmatimonadetes;c__Gemmatimonadetes;o__C114;f__;g__;s__ +533055 k__Bacteria;p__Verrucomicrobia;c__[Pedosphaerae];o__[Pedosphaerales];f__auto67_4W;g__;s__ +533150 k__Bacteria;p__WPS-2;c__;o__;f__;g__;s__ +533472 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__;g__;s__ +533581 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Acetobacteraceae;g__;s__ +533625 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Novosphingobium;s__ +533628 k__Bacteria;p__Planctomycetes;c__OM190;o__CL500-15;f__;g__;s__ +533650 k__Bacteria;p__Verrucomicrobia;c__[Pedosphaerae];o__[Pedosphaerales];f__auto67_4W;g__;s__ +533702 k__Bacteria;p__Verrucomicrobia;c__[Pedosphaerae];o__[Pedosphaerales];f__Ellin517;g__;s__ +533926 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Gaiellales;f__Gaiellaceae;g__;s__ +534043 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Legionellales;f__Coxiellaceae;g__Aquicella;s__ +534133 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Sinobacteraceae;g__;s__ +534249 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__;g__;s__ +534301 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Syntrophobacterales;f__Syntrophobacteraceae;g__;s__ +534321 k__Bacteria;p__Nitrospirae;c__Nitrospira;o__Nitrospirales;f__0319-6A21;g__;s__ +534367 k__Bacteria;p__Bacteroidetes;c__Sphingobacteriia;o__Sphingobacteriales;f__Sphingobacteriaceae;g__;s__ +534431 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__;s__ +534454 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ +534598 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +534621 k__Bacteria;p__Actinobacteria;c__MB-A2-108;o__0319-7L14;f__;g__;s__ +534686 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__MND1;f__;g__;s__ +534771 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Sinobacteraceae;g__;s__ +534914 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__;s__ +535040 k__Bacteria;p__Actinobacteria;c__Acidimicrobiia;o__Acidimicrobiales;f__AKIW874;g__;s__ +535097 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__ +53533 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ +535402 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__Polyangiaceae;g__;s__ +535450 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__;s__ +535552 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Acetobacteraceae;g__;s__ +535605 k__Bacteria;p__Elusimicrobia;c__Elusimicrobia;o__IIb;f__;g__;s__ +535678 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Streptomycetaceae;g__Amycolatopsis;s__coloradensis +535859 k__Bacteria;p__Actinobacteria;c__Acidimicrobiia;o__Acidimicrobiales;f__EB1017;g__;s__ +536133 k__Bacteria;p__Verrucomicrobia;c__[Methylacidiphilae];o__Methylacidiphilales;f__;g__;s__ +5364 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Rhizobiaceae;g__Rhizobium;s__ +536444 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__Haliangiaceae;g__;s__ +536860 k__Bacteria;p__Acidobacteria;c__DA052;o__Ellin6513;f__;g__;s__ +536893 k__Bacteria;p__Gemmatimonadetes;c__Gemmatimonadetes;o__Gemmatimonadales;f__Ellin5301;g__;s__ +537033 k__Bacteria;p__Cyanobacteria;c__4C0d-2;o__YS2;f__;g__;s__ +537224 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__;g__;s__ +537239 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Acetobacteraceae;g__;s__ +537254 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Sphingomonas;s__ +537310 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__PK29;f__;g__;s__ +537516 k__Bacteria;p__Actinobacteria;c__Acidimicrobiia;o__Acidimicrobiales;f__C111;g__;s__ +537635 k__Bacteria;p__Chlorobi;c__;o__;f__;g__;s__ +537655 k__Bacteria;p__Nitrospirae;c__Nitrospira;o__Nitrospirales;f__Nitrospiraceae;g__Nitrospira;s__ +537674 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__;s__ +537856 k__Bacteria;p__Armatimonadetes;c__0319-6E2;o__;f__;g__;s__ +538089 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__MND1;f__;g__;s__ +538093 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Pseudonocardiaceae;g__Actinomycetospora;s__ +538111 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Intrasporangiaceae;g__;s__ +538153 k__Bacteria;p__Gemmatimonadetes;c__Gemmatimonadetes;o__;f__;g__;s__ +538315 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Pseudonocardiaceae;g__Pseudonocardia;s__ +538324 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__;s__ +538428 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__RB40;g__;s__ +538448 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Saprospiraceae;g__;s__ +538512 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__A21b;f__EB1003;g__;s__ +538750 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Pseudomonadales;f__Pseudomonadaceae;g__Pseudomonas;s__ +538768 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +538790 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Microbacteriaceae;g__;s__ +538998 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Methylocystaceae;g__;s__ +539027 k__Bacteria;p__Acidobacteria;c__DA052;o__Ellin6513;f__;g__;s__ +539206 k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__;s__ +539280 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Legionellales;f__;g__;s__ +539334 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__;g__;s__ +539380 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Phyllobacteriaceae;g__Mesorhizobium;s__ +539423 k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__;s__ +539496 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__;g__;s__ +539570 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__mb2424;g__;s__ +539866 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Thiotrichales;f__Piscirickettsiaceae;g__;s__ +539878 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Phyllobacteriaceae;g__Mesorhizobium;s__ +539880 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__;f__;g__;s__ +539907 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Syntrophobacterales;f__Syntrophobacteraceae;g__;s__ +539915 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Oxalobacteraceae;g__;s__ +53994 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Acetobacteraceae;g__Acidocella;s__ +539961 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Paenibacillaceae;g__Paenibacillus;s__ +540472 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +540478 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__selenatarsenatis +540508 k__Bacteria;p__Bacteroidetes;c__Sphingobacteriia;o__Sphingobacteriales;f__Sphingobacteriaceae;g__;s__ +540510 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__Flavisolibacter;s__ +540567 k__Bacteria;p__TM7;c__TM7-1;o__;f__;g__;s__ +540592 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__;g__;s__ +540616 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Methylophilales;f__Methylophilaceae;g__Methylotenera;s__mobilis +540826 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Cryptosporangiaceae;g__Cryptosporangium;s__ +540946 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__ +540962 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__IS-44;f__;g__;s__ +540980 k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__;s__ +541147 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__A21b;f__EB1003;g__;s__ +541209 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Bdellovibrionales;f__Bdellovibrionaceae;g__Bdellovibrio;s__ +541275 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Burkholderiaceae;g__Burkholderia;s__ +541424 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Oxalobacteraceae;g__;s__ +541432 k__Bacteria;p__Firmicutes;c__Clostridia;o__Clostridiales;f__Clostridiaceae;g__Clostridium;s__ +541511 k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__;s__ +541741 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +541749 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ +541979 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Xanthomonadaceae;g__Lysobacter;s__ +542118 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Micromonosporaceae;g__;s__ +542136 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__;s__ +542155 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Legionellales;f__Coxiellaceae;g__Aquicella;s__ +542199 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Bdellovibrionales;f__Bdellovibrionaceae;g__Bdellovibrio;s__ +542299 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__;s__ +542445 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__;g__;s__ +542475 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Methylobacteriaceae;g__Methylobacterium;s__mesophilicum +542613 k__Bacteria;p__Acidobacteria;c__BPC102;o__B110;f__;g__;s__ +542654 k__Bacteria;p__Acidobacteria;c__iii1-8;o__DS-18;f__;g__;s__ +542933 k__Bacteria;p__Actinobacteria;c__Acidimicrobiia;o__Acidimicrobiales;f__EB1017;g__;s__ +543017 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Rhodocyclales;f__Rhodocyclaceae;g__Azoarcus;s__ +543083 k__Bacteria;p__Acidobacteria;c__BPC102;o__MVS-40;f__;g__;s__ +543139 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Sphingomonas;s__wittichii +543156 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Xanthobacteraceae;g__Labrys;s__ +543294 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +543306 k__Bacteria;p__TM7;c__TM7-3;o__CW040;f__;g__;s__ +543472 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Bradyrhizobiaceae;g__;s__ +543528 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +54353 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Caulobacterales;f__Caulobacteraceae;g__;s__ +543570 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Mycobacteriaceae;g__Mycobacterium;s__ +5438 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Rhizobiaceae;g__Agrobacterium;s__ +543813 k__Bacteria;p__Bacteroidetes;c__Sphingobacteriia;o__Sphingobacteriales;f__;g__;s__ +543818 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ +543962 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Streptomycetaceae;g__Streptomyces;s__ +543963 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Chromatiales;f__Chromatiaceae;g__;s__ +544014 k__Bacteria;p__Chloroflexi;c__Anaerolineae;o__SBR1031;f__A4b;g__;s__ +544092 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +544253 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Paenibacillaceae;g__Paenibacillus;s__ +544258 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__Candidatus Koribacter;s__ +544419 k__Bacteria;p__Firmicutes;c__Bacilli;o__Lactobacillales;f__Streptococcaceae;g__Lactococcus;s__ +544493 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Oxalobacteraceae;g__;s__ +544561 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodobacterales;f__Hyphomonadaceae;g__;s__ +544615 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ +544772 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Devosia;s__ +544883 k__Bacteria;p__Bacteroidetes;c__Sphingobacteriia;o__Sphingobacteriales;f__Sphingobacteriaceae;g__;s__ +544990 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Methylocystaceae;g__;s__ +545016 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +545180 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Acidobacteriaceae;g__;s__ +545247 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ +545290 k__Bacteria;p__Verrucomicrobia;c__[Spartobacteria];o__[Chthoniobacterales];f__[Chthoniobacteraceae];g__DA101;s__ +545306 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__;s__ +545339 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Acidobacteriaceae;g__;s__ +545465 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__SC-I-84;f__;g__;s__ +545487 k__Bacteria;p__Actinobacteria;c__MB-A2-108;o__0319-7L14;f__;g__;s__ +545495 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Rhodocyclales;f__Rhodocyclaceae;g__Propionivibrio;s__ +545515 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__;g__;s__ +545826 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__;s__ +545957 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Rhizobiaceae;g__;s__ +545973 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__;s__ +545997 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__;s__ +546081 k__Bacteria;p__TM7;c__TM7-1;o__;f__;g__;s__ +546268 k__Bacteria;p__Firmicutes;c__Clostridia;o__Clostridiales;f__Veillonellaceae;g__Pelosinus;s__ +546305 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ +546343 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ +546371 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Solirubrobacterales;f__;g__;s__ +546509 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__;s__ +546694 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__SC-I-84;f__;g__;s__ +546975 k__Bacteria;p__Nitrospirae;c__Nitrospira;o__Nitrospirales;f__0319-6A21;g__;s__ +547110 k__Bacteria;p__Planctomycetes;c__Phycisphaerae;o__WD2101;f__;g__;s__ +547148 k__Bacteria;p__Gemmatimonadetes;c__Gemm-1;o__;f__;g__;s__ +547232 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Nocardiaceae;g__Rhodococcus;s__ +547319 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +547327 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__Methylibium;s__ +547360 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__[Entotheonellales];f__[Entotheonellaceae];g__;s__ +547471 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Micrococcaceae;g__;s__ +547544 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Gaiellales;f__Gaiellaceae;g__;s__ +547608 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__;g__;s__ +547614 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Acetobacteraceae;g__;s__ +547806 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Actinosynnemataceae;g__Lentzea;s__albidocapillata +547926 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__;g__;s__ +548079 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__;g__;s__ +548184 k__Bacteria;p__Bacteroidetes;c__Sphingobacteriia;o__Sphingobacteriales;f__Sphingobacteriaceae;g__;s__ +548626 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__;g__;s__ +548694 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Xanthomonadaceae;g__;s__ +548715 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +549252 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +549319 k__Bacteria;p__TM7;c__TM7-1;o__;f__;g__;s__ +549538 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Xanthomonadaceae;g__Dokdonella;s__ +549837 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Pseudomonadales;f__Pseudomonadaceae;g__Pseudomonas;s__ +549972 k__Bacteria;p__Bacteroidetes;c__Sphingobacteriia;o__Sphingobacteriales;f__;g__;s__ +550142 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rickettsiales;f__;g__;s__ +550164 k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__;s__ +550173 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__;g__;s__ +550219 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +550231 k__Bacteria;p__Planctomycetes;c__Phycisphaerae;o__WD2101;f__;g__;s__ +550245 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Syntrophobacterales;f__Syntrophobacteraceae;g__;s__ +550247 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__;s__ +550392 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +550399 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__SBla14;f__;g__;s__ +550467 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__;g__;s__ +550525 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Erythrobacteraceae;g__;s__ +550588 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__;s__ +550712 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Mycobacteriaceae;g__Mycobacterium;s__llatzerense +550784 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Xanthomonadaceae;g__;s__ +550834 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ +550937 k__Bacteria;p__Chloroflexi;c__Gitt-GS-136;o__;f__;g__;s__ +551005 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +551126 k__Bacteria;p__Bacteroidetes;c__Sphingobacteriia;o__Sphingobacteriales;f__;g__;s__ +551139 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__MND1;f__;g__;s__ +551166 k__Bacteria;p__Acidobacteria;c__iii1-8;o__DS-18;f__;g__;s__ +551185 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Gaiellales;f__AK1AB1_02E;g__;s__ +551186 k__Bacteria;p__Cyanobacteria;c__Oscillatoriophycideae;o__Oscillatoriales;f__Phormidiaceae;g__Phormidium;s__ +551344 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Gaiellales;f__Gaiellaceae;g__;s__ +551472 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Sinobacteraceae;g__Steroidobacter;s__ +551647 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +551866 k__Bacteria;p__Cyanobacteria;c__ML635J-21;o__;f__;g__;s__ +551963 k__Bacteria;p__Firmicutes;c__Clostridia;o__Clostridiales;f__Clostridiaceae;g__Clostridium;s__ +551999 k__Bacteria;p__Bacteroidetes;c__VC2_1_Bac22;o__;f__;g__;s__ +552264 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__Hydrogenophaga;s__ +552338 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__;g__;s__ +552685 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__;g__;s__ +552725 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__;s__ +553387 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Acidobacteriaceae;g__;s__ +553414 k__Bacteria;p__TM7;c__TM7-1;o__;f__;g__;s__ +55354 k__Bacteria;p__Planctomycetes;c__Phycisphaerae;o__WD2101;f__;g__;s__ +553562 k__Bacteria;p__Verrucomicrobia;c__[Spartobacteria];o__[Chthoniobacterales];f__[Chthoniobacteraceae];g__;s__ +553643 k__Bacteria;p__Acidobacteria;c__Holophagae;o__Holophagales;f__Holophagaceae;g__Geothrix;s__ +553653 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__selenatarsenatis +553939 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__;g__;s__ +553981 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Rhizobiaceae;g__;s__ +554086 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__Flavisolibacter;s__ +554330 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Caulobacterales;f__Caulobacteraceae;g__;s__ +554377 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Sporichthyaceae;g__;s__ +554420 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Micromonosporaceae;g__;s__ +554483 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__;s__ +554597 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Pedomicrobium;s__ +5547 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Caulobacterales;f__Caulobacteraceae;g__Caulobacter;s__ +554950 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__;g__;s__ +555182 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__RB40;g__;s__ +555338 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Streptomycetaceae;g__;s__ +555387 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ +555635 k__Bacteria;p__Actinobacteria;c__MB-A2-108;o__0319-7L14;f__;g__;s__ +555816 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ +555876 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +555970 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__ +556017 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +556100 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Bdellovibrionales;f__Bdellovibrionaceae;g__Bdellovibrio;s__ +556144 k__Bacteria;p__Planctomycetes;c__Phycisphaerae;o__WD2101;f__;g__;s__ +556217 k__Bacteria;p__WS3;c__PRR-12;o__Sediment-1;f__PRR-10;g__;s__ +55626 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Legionellales;f__Coxiellaceae;g__;s__ +556383 k__Bacteria;p__Acidobacteria;c__DA052;o__Ellin6513;f__;g__;s__ +556388 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__selenatarsenatis +556657 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__;s__ +55691 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Pseudonocardiaceae;g__Amycolatopsis;s__ +557001 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__;s__ +557032 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Syntrophobacterales;f__Syntrophobacteraceae;g__;s__ +557209 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Methylocystaceae;g__;s__ +557280 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__;f__;g__;s__ +557323 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +557389 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Desulfuromonadales;f__Geobacteraceae;g__Geobacter;s__ +557392 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Phyllobacteriaceae;g__;s__ +557456 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Sphingomonas;s__wittichii +557772 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__;g__;s__ +557810 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Micrococcaceae;g__Arthrobacter;s__ +557938 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Beijerinckiaceae;g__;s__ +557983 k__Bacteria;p__Verrucomicrobia;c__[Spartobacteria];o__[Chthoniobacterales];f__[Chthoniobacteraceae];g__DA101;s__ +558170 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__Comamonas;s__ +558364 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__NB1-j;f__;g__;s__ +558394 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Rhizobiaceae;g__;s__ +558483 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Paenibacillaceae;g__Paenibacillus;s__ +558494 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__;f__;g__;s__ +558567 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Alicyclobacillaceae;g__Alicyclobacillus;s__pomorum +558862 k__Bacteria;p__Chlorobi;c__SJA-28;o__;f__;g__;s__ +558886 k__Bacteria;p__WPS-2;c__;o__;f__;g__;s__ +558911 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Nocardioidaceae;g__Kribbella;s__ +559089 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__AKIW659;g__;s__ +559177 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__MIZ46;f__;g__;s__ +559211 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Bradyrhizobiaceae;g__;s__ +559267 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__;s__ +559317 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__;s__ +559352 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Sinobacteraceae;g__;s__ +559379 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Acidobacteriaceae;g__;s__ +559470 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Alcaligenaceae;g__;s__ +559544 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Methylocystaceae;g__;s__ +559780 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Sinobacteraceae;g__;s__ +559792 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodobacterales;f__Hyphomonadaceae;g__;s__ +560165 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +560327 k__Bacteria;p__Bacteroidetes;c__Bacteroidia;o__Bacteroidales;f__Porphyromonadaceae;g__;s__ +560696 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Syntrophobacterales;f__Syntrophobacteraceae;g__;s__ +560752 k__Bacteria;p__Gemmatimonadetes;c__Gemmatimonadetes;o__;f__;g__;s__ +560804 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__Telmatospirillum;s__siberiense +560895 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__SC-I-84;f__;g__;s__ +561061 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Micrococcaceae;g__Arthrobacter;s__ +56109 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__;f__;g__;s__ +561221 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Streptomycetaceae;g__Streptomyces;s__ +561332 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Oxalobacteraceae;g__Janthinobacterium;s__ +561398 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__ +561452 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Gaiellales;f__Gaiellaceae;g__;s__ +561836 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Desulfobacterales;f__Desulfobulbaceae;g__;s__ +561842 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Ellin329;f__;g__;s__ +561968 k__Bacteria;p__Acidobacteria;c__Acidobacteria-5;o__;f__;g__;s__ +561970 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Xanthomonadaceae;g__;s__ +561978 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Saprospiraceae;g__;s__ +562167 k__Bacteria;p__Chloroflexi;c__Anaerolineae;o__envOPS12;f__;g__;s__ +562177 k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__;s__ +562190 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ +562311 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ +562335 k__Bacteria;p__TM7;c__TM7-1;o__;f__;g__;s__ +562367 k__Bacteria;p__Actinobacteria;c__Acidimicrobiia;o__Acidimicrobiales;f__;g__;s__ +562438 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +562604 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__[Entotheonellales];f__[Entotheonellaceae];g__;s__ +562817 k__Bacteria;p__Actinobacteria;c__Acidimicrobiia;o__Acidimicrobiales;f__;g__;s__ +562922 k__Bacteria;p__Chloroflexi;c__Gitt-GS-136;o__;f__;g__;s__ +562956 k__Bacteria;p__Firmicutes;c__Clostridia;o__Clostridiales;f__Clostridiaceae;g__Alkaliphilus;s__transvaalensis +562973 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Streptomycetaceae;g__Streptomyces;s__ +563192 k__Bacteria;p__Actinobacteria;c__Acidimicrobiia;o__Acidimicrobiales;f__C111;g__;s__ +563375 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Ellin6067;f__;g__;s__ +563484 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Ellin329;f__;g__;s__ +563612 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Nocardioidaceae;g__;s__ +563670 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Cryptosporangiaceae;g__;s__ +564047 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Acetobacteraceae;g__;s__ +564196 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__;g__;s__ +564262 k__Bacteria;p__Verrucomicrobia;c__[Spartobacteria];o__[Chthoniobacterales];f__[Chthoniobacteraceae];g__DA101;s__ +564288 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__Flavisolibacter;s__ +564301 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Sinobacteraceae;g__;s__ +564337 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__;s__ +564348 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Caulobacterales;f__Caulobacteraceae;g__;s__ +564413 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__;s__ +564487 k__Bacteria;p__Bacteroidetes;c__Sphingobacteriia;o__Sphingobacteriales;f__Sphingobacteriaceae;g__Pedobacter;s__ +564526 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +564610 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Gaiellales;f__Gaiellaceae;g__;s__ +564690 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Acetobacteraceae;g__;s__ +564911 k__Bacteria;p__Planctomycetes;c__Planctomycetia;o__Gemmatales;f__Isosphaeraceae;g__;s__ +565027 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__;g__;s__ +56514 k__Bacteria;p__TM7;c__SC3;o__;f__;g__;s__ +565240 k__Bacteria;p__Actinobacteria;c__Acidimicrobiia;o__Acidimicrobiales;f__AKIW874;g__;s__ +565399 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +565413 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Caulobacterales;f__Caulobacteraceae;g__;s__ +565524 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Rhodobiaceae;g__Afifella;s__ +565567 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__SC-I-84;f__;g__;s__ +565577 k__Bacteria;p__WPS-2;c__;o__;f__;g__;s__ +565750 k__Bacteria;p__Actinobacteria;c__Acidimicrobiia;o__Acidimicrobiales;f__Iamiaceae;g__Iamia;s__ +565780 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +565936 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Burkholderiaceae;g__Burkholderia;s__ +566012 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__foraminis +566080 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +566151 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__;s__ +56625 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Micrococcaceae;g__;s__ +566535 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__11-24;f__;g__;s__ +566568 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Alcaligenaceae;g__;s__ +566996 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Acidobacteriaceae;g__;s__ +567236 k__Bacteria;p__Bacteroidetes;c__Sphingobacteriia;o__Sphingobacteriales;f__Sphingobacteriaceae;g__;s__ +567307 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__A21b;f__EB1003;g__;s__ +567486 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Xanthomonadaceae;g__Dokdonella;s__ +567569 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Gaiellales;f__Gaiellaceae;g__;s__ +567622 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__;g__;s__ +567628 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +567776 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Bradyrhizobiaceae;g__;s__ +568130 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Sphingomonas;s__ +568391 k__Bacteria;p__Planctomycetes;c__Phycisphaerae;o__WD2101;f__;g__;s__ +568429 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__[Entotheonellales];f__[Entotheonellaceae];g__;s__ +568461 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Gaiellales;f__Gaiellaceae;g__;s__ +568617 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__;s__ +569066 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Xanthomonadaceae;g__Dokdonella;s__ +569190 k__Bacteria;p__Verrucomicrobia;c__[Pedosphaerae];o__[Pedosphaerales];f__;g__;s__ +569321 k__Bacteria;p__Gemmatimonadetes;c__Gemm-2;o__;f__;g__;s__ +569628 k__Bacteria;p__Verrucomicrobia;c__[Pedosphaerae];o__[Pedosphaerales];f__auto67_4W;g__;s__ +569719 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__ +569749 k__Bacteria;p__Chloroflexi;c__S085;o__;f__;g__;s__ +569952 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__Roseateles;s__depolymerans +569971 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__IS-44;f__;g__;s__ +569992 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Sporichthyaceae;g__;s__ +570140 k__Bacteria;p__Actinobacteria;c__Acidimicrobiia;o__Acidimicrobiales;f__AKIW874;g__;s__ +570254 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Caulobacterales;f__Caulobacteraceae;g__;s__ +570344 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rickettsiales;f__;g__;s__ +570383 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Pseudonocardiaceae;g__;s__ +570387 k__Bacteria;p__Nitrospirae;c__Nitrospira;o__Nitrospirales;f__0319-6A21;g__;s__ +570436 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +570595 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__;g__;s__ +570620 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ +570692 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Micromonosporaceae;g__;s__ +570693 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__Segetibacter;s__ +570966 k__Bacteria;p__WS3;c__PRR-12;o__Sediment-1;f__PRR-10;g__;s__ +570988 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Devosia;s__ +571269 k__Bacteria;p__Cyanobacteria;c__Oscillatoriophycideae;o__Chroococcales;f__Xenococcaceae;g__;s__ +571363 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__MND1;f__;g__;s__ +571651 k__Bacteria;p__TM7;c__TM7-1;o__;f__;g__;s__ +571700 k__Bacteria;p__Chloroflexi;c__S085;o__;f__;g__;s__ +571709 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +571753 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Kineosporiaceae;g__Kineosporia;s__ +571984 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Methylophilales;f__Methylophilaceae;g__Methylotenera;s__mobilis +572097 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ +572125 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Gaiellales;f__Gaiellaceae;g__;s__ +572134 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__PK29;f__;g__;s__ +572156 k__Bacteria;p__Cyanobacteria;c__Chloroplast;o__Chlorophyta;f__Chlamydomonadaceae;g__;s__ +572311 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__MND1;f__;g__;s__ +572561 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Legionellales;f__Legionellaceae;g__;s__ +572643 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Sinobacteraceae;g__;s__ +572890 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__;g__;s__ +572984 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Acetobacteraceae;g__;s__ +572991 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Solirubrobacterales;f__;g__;s__ +573013 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Devosia;s__ +573034 k__Bacteria;p__Bacteroidetes;c__Bacteroidia;o__Bacteroidales;f__Porphyromonadaceae;g__Porphyromonas;s__endodontalis +573054 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Devosia;s__ +573296 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__;g__;s__ +573298 k__Bacteria;p__Acidobacteria;c__DA052;o__Ellin6513;f__;g__;s__ +573327 k__Bacteria;p__Gemmatimonadetes;c__Gemmatimonadetes;o__;f__;g__;s__ +573337 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ +573448 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Acidobacteriaceae;g__;s__ +573755 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Devosia;s__ +573764 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Bradyrhizobiaceae;g__Bradyrhizobium;s__ +573830 k__Bacteria;p__Actinobacteria;c__Acidimicrobiia;o__Acidimicrobiales;f__koll13;g__;s__ +574158 k__Bacteria;p__Planctomycetes;c__Phycisphaerae;o__WD2101;f__;g__;s__ +574265 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Sporichthyaceae;g__;s__ +574416 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Caulobacterales;f__Caulobacteraceae;g__Phenylobacterium;s__ +574527 k__Bacteria;p__Chloroflexi;c__Anaerolineae;o__S0208;f__;g__;s__ +574686 k__Bacteria;p__Bacteroidetes;c__Flavobacteriia;o__Flavobacteriales;f__Flavobacteriaceae;g__Flavobacterium;s__ +575107 k__Bacteria;p__WPS-2;c__;o__;f__;g__;s__ +575116 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__ +575143 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Rhodocyclales;f__Rhodocyclaceae;g__Hydrogenophilus;s__ +575206 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +575223 k__Bacteria;p__Verrucomicrobia;c__[Pedosphaerae];o__[Pedosphaerales];f__auto67_4W;g__;s__ +575305 k__Bacteria;p__Bacteroidetes;c__Sphingobacteriia;o__Sphingobacteriales;f__Sphingobacteriaceae;g__;s__ +575419 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Devosia;s__ +575450 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Legionellales;f__;g__;s__ +575467 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__MND1;f__;g__;s__ +575486 k__Bacteria;p__Bacteroidetes;c__Bacteroidia;o__Bacteroidales;f__Porphyromonadaceae;g__Paludibacter;s__ +575576 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Legionellales;f__Legionellaceae;g__Legionella;s__pneumophila +575688 k__Bacteria;p__Bacteroidetes;c__Sphingobacteriia;o__Sphingobacteriales;f__Sphingobacteriaceae;g__Pedobacter;s__ +575745 k__Bacteria;p__Acidobacteria;c__DA052;o__Ellin6513;f__;g__;s__ +575770 k__Bacteria;p__Verrucomicrobia;c__[Pedosphaerae];o__[Pedosphaerales];f__auto67_4W;g__;s__ +575851 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +575940 k__Bacteria;p__Planctomycetes;c__Phycisphaerae;o__WD2101;f__;g__;s__ +575956 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Methylobacteriaceae;g__;s__ +575993 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Spirobacillales;f__;g__;s__ +576059 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ +576136 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Ellin329;f__;g__;s__ +576308 k__Bacteria;p__Bacteroidetes;c__Flavobacteriia;o__Flavobacteriales;f__Flavobacteriaceae;g__Flavobacterium;s__ +576480 k__Bacteria;p__Nitrospirae;c__Nitrospira;o__Nitrospirales;f__0319-6A21;g__;s__ +576508 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +576689 k__Bacteria;p__Chloroflexi;c__Anaerolineae;o__SBR1031;f__A4b;g__;s__ +576693 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__;s__ +576714 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Alteromonadales;f__Alteromonadaceae;g__Cellvibrio;s__ +576785 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__;s__ +577025 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +577068 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__MND1;f__;g__;s__ +577123 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Phyllobacteriaceae;g__Mesorhizobium;s__ +577215 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__Ellin6075;g__;s__ +577544 k__Bacteria;p__Chloroflexi;c__TK17;o__;f__;g__;s__ +578097 k__Bacteria;p__Chloroflexi;c__Ellin6529;o__;f__;g__;s__ +578126 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Sphingobium;s__ +578322 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Alteromonadales;f__OM60;g__;s__ +578427 k__Bacteria;p__Acidobacteria;c__TM1;o__;f__;g__;s__ +578443 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__;s__ +578508 k__Bacteria;p__Verrucomicrobia;c__[Spartobacteria];o__[Chthoniobacterales];f__[Chthoniobacteraceae];g__Candidatus Xiphinematobacter;s__ +578565 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__Flavisolibacter;s__ +578786 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__ +578951 k__Bacteria;p__Gemmatimonadetes;c__Gemmatimonadetes;o__Gemmatimonadales;f__Gemmatimonadaceae;g__Gemmatimonas;s__ +579008 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__SC-I-84;f__;g__;s__ +579010 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Saprospiraceae;g__;s__ +579070 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Oxalobacteraceae;g__;s__ +579208 k__Bacteria;p__TM7;c__TM7-1;o__;f__;g__;s__ +579240 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__;g__;s__ +579423 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__;f__;g__;s__ +579531 k__Bacteria;p__Cyanobacteria;c__Chloroplast;o__Stramenopiles;f__;g__;s__ +579577 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Sphingomonas;s__ +579583 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Gaiellales;f__Gaiellaceae;g__;s__ +579621 k__Bacteria;p__TM6;c__SJA-4;o__;f__;g__;s__ +579698 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__;g__;s__ +579706 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__;g__;s__ +579829 k__Bacteria;p__Bacteroidetes;c__Flavobacteriia;o__Flavobacteriales;f__Flavobacteriaceae;g__Flavobacterium;s__ +579954 k__Bacteria;p__Verrucomicrobia;c__[Spartobacteria];o__[Chthoniobacterales];f__[Chthoniobacteraceae];g__Chthoniobacter;s__ +580164 k__Bacteria;p__TM7;c__TM7-3;o__;f__;g__;s__ +580173 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Solirubrobacterales;f__;g__;s__ +580190 k__Bacteria;p__Actinobacteria;c__Rubrobacteria;o__Rubrobacterales;f__Rubrobacteraceae;g__Rubrobacter;s__ +580290 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Solirubrobacterales;f__;g__;s__ +580362 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__;s__ +580497 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Gaiellales;f__Gaiellaceae;g__;s__ +580539 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__ +580625 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Bradyrhizobiaceae;g__;s__ +580635 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__Polyangiaceae;g__Sorangium;s__ +580703 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__ +580850 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Micromonosporaceae;g__;s__ +581056 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Nitrosomonadales;f__Nitrosomonadaceae;g__;s__ +581639 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__Rubrivivax;s__ +581747 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Acetobacteraceae;g__Acidisoma;s__ +581811 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Micromonosporaceae;g__;s__ +581900 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Sinobacteraceae;g__;s__ +582097 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Syntrophobacterales;f__Syntrophobacteraceae;g__;s__ +582391 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +582431 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__;f__;g__;s__ +582528 k__Bacteria;p__Verrucomicrobia;c__[Spartobacteria];o__[Chthoniobacterales];f__[Chthoniobacteraceae];g__DA101;s__ +582611 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__;g__;s__ +582679 k__Bacteria;p__Acidobacteria;c__DA052;o__Ellin6513;f__;g__;s__ +582686 k__Bacteria;p__Proteobacteria;c__;o__;f__;g__;s__ +582754 k__Bacteria;p__Bacteroidetes;c__Flavobacteriia;o__Flavobacteriales;f__Flavobacteriaceae;g__Flavobacterium;s__ +582813 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Micromonosporaceae;g__;s__ +582973 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__;s__ +582988 k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__;s__ +583206 k__Bacteria;p__Chloroflexi;c__TK17;o__mle1-48;f__;g__;s__ +583489 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__;f__;g__;s__ +583508 k__Bacteria;p__Verrucomicrobia;c__[Spartobacteria];o__[Chthoniobacterales];f__[Chthoniobacteraceae];g__DA101;s__ +583548 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Desulfuromonadales;f__Geobacteraceae;g__Geobacter;s__ +583699 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Micrococcales;f__;g__;s__ +583756 k__Bacteria;p__Bacteroidetes;c__Sphingobacteriia;o__Sphingobacteriales;f__;g__;s__ +583802 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__CCU21;f__;g__;s__ +583808 k__Bacteria;p__Bacteroidetes;c__Flavobacteriia;o__Flavobacteriales;f__[Weeksellaceae];g__Chryseobacterium;s__ +583939 k__Bacteria;p__Bacteroidetes;c__Sphingobacteriia;o__Sphingobacteriales;f__Sphingobacteriaceae;g__;s__ +583945 k__Bacteria;p__Verrucomicrobia;c__[Pedosphaerae];o__[Pedosphaerales];f__[Pedosphaeraceae];g__Pedosphaera;s__ +584055 k__Bacteria;p__Acidobacteria;c__DA052;o__Ellin6513;f__;g__;s__ +584174 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__;g__;s__ +584193 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Methylococcales;f__Crenotrichaceae;g__Crenothrix;s__ +584249 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Micromonosporaceae;g__;s__ +584272 k__Bacteria;p__Actinobacteria;c__Acidimicrobiia;o__Acidimicrobiales;f__EB1017;g__;s__ +584331 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Streptomycetaceae;g__Streptomyces;s__ +584489 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Sinobacteraceae;g__Steroidobacter;s__ +584598 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ +584612 k__Bacteria;p__Cyanobacteria;c__4C0d-2;o__MLE1-12;f__;g__;s__ +584742 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Rhodocyclales;f__Rhodocyclaceae;g__Dechloromonas;s__ +584767 k__Bacteria;p__Firmicutes;c__Clostridia;o__Clostridiales;f__Clostridiaceae;g__Clostridium;s__ +584821 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__mb2424;g__;s__ +584900 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Erythrobacteraceae;g__;s__ +584947 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__;s__ +585151 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Syntrophobacterales;f__Syntrophobacteraceae;g__;s__ +585398 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +585459 k__Bacteria;p__Planctomycetes;c__Phycisphaerae;o__WD2101;f__;g__;s__ +585537 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Pedomicrobium;s__ +585582 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ +585787 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rickettsiales;f__;g__;s__ +585850 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Sphingomonas;s__ +585878 k__Bacteria;p__WS3;c__PRR-12;o__Sediment-1;f__;g__;s__ +585984 k__Bacteria;p__TM7;c__TM7-3;o__EW055;f__;g__;s__ +586084 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Streptosporangiaceae;g__;s__ +586211 k__Bacteria;p__TM7;c__TM7-3;o__;f__;g__;s__ +586224 k__Bacteria;p__Verrucomicrobia;c__[Spartobacteria];o__[Chthoniobacterales];f__[Chthoniobacteraceae];g__DA101;s__ +586275 k__Bacteria;p__Acidobacteria;c__iii1-8;o__DS-18;f__;g__;s__ +586306 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__;g__;s__ +586320 k__Bacteria;p__Verrucomicrobia;c__[Spartobacteria];o__[Chthoniobacterales];f__[Chthoniobacteraceae];g__OR-59;s__ +586351 k__Bacteria;p__Actinobacteria;c__Acidimicrobiia;o__Acidimicrobiales;f__EB1017;g__;s__ +586374 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__RB40;g__;s__ +586388 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Phyllobacteriaceae;g__;s__ +586563 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +586802 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Micrococcaceae;g__Microbispora;s__rosea +586914 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Desulfuromonadales;f__Geobacteraceae;g__Geobacter;s__ +587313 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +587572 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__;f__;g__;s__ +587598 k__Bacteria;p__Verrucomicrobia;c__[Spartobacteria];o__[Chthoniobacterales];f__[Chthoniobacteraceae];g__DA101;s__ +587696 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Microbacteriaceae;g__Microbacterium;s__ +587975 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__;g__;s__ +588042 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Sinobacteraceae;g__;s__ +588123 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__;g__;s__ +588240 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__11-24;f__;g__;s__ +588367 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__Ellin6075;g__;s__ +588464 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__;g__;s__ +588492 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Gaiellales;f__Gaiellaceae;g__;s__ +588605 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Micrococcaceae;g__Arthrobacter;s__ +588630 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__;g__;s__ +58864 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__Variovorax;s__paradoxus +588861 k__Bacteria;p__Chloroflexi;c__Chloroflexi;o__[Roseiflexales];f__[Kouleothrixaceae];g__;s__ +588995 k__Bacteria;p__Gemmatimonadetes;c__Gemm-5;o__;f__;g__;s__ +589070 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +589123 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Oxalobacteraceae;g__;s__ +589233 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__;g__;s__ +589372 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Solirubrobacterales;f__Solirubrobacteraceae;g__;s__ +589382 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Caulobacterales;f__Caulobacteraceae;g__;s__ +589449 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__;f__;g__;s__ +589500 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Hyphomicrobium;s__ +589700 k__Bacteria;p__Nitrospirae;c__Nitrospira;o__Nitrospirales;f__FW;g__4-29;s__ +589802 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__;g__;s__ +589827 k__Bacteria;p__Chloroflexi;c__Anaerolineae;o__S0208;f__;g__;s__ +589946 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodobacterales;f__Hyphomonadaceae;g__;s__ +589983 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__;g__;s__ +590053 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Xanthomonadaceae;g__;s__ +590252 k__Bacteria;p__Verrucomicrobia;c__[Pedosphaerae];o__[Pedosphaerales];f__;g__;s__ +590266 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodobacterales;f__Hyphomonadaceae;g__;s__ +590281 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__;g__;s__ +590295 k__Bacteria;p__Verrucomicrobia;c__[Spartobacteria];o__[Chthoniobacterales];f__[Chthoniobacteraceae];g__DA101;s__ +590319 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +590343 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Planococcaceae;g__Planomicrobium;s__ +590356 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__;g__;s__ +590365 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Solirubrobacterales;f__;g__;s__ +590533 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__Ellin6075;g__;s__ +590747 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__11-24;f__;g__;s__ +590842 k__Bacteria;p__Verrucomicrobia;c__[Pedosphaerae];o__[Pedosphaerales];f__Ellin515;g__;s__ +590849 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__Flavisolibacter;s__ +590960 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__;s__ +591063 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +591157 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__;f__;g__;s__ +591211 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__SBla14;f__;g__;s__ +591304 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__ +591337 k__Bacteria;p__Bacteroidetes;c__Sphingobacteriia;o__Sphingobacteriales;f__;g__;s__ +591340 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Ellin6067;f__;g__;s__ +591387 k__Bacteria;p__Armatimonadetes;c__[Fimbriimonadia];o__[Fimbriimonadales];f__[Fimbriimonadaceae];g__Fimbriimonas;s__ +591482 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__;g__;s__ +591569 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__;s__ +591575 k__Bacteria;p__FCPU426;c__;o__;f__;g__;s__ +591647 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__;g__;s__ +591683 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Pedomicrobium;s__ +591699 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Methylobacteriaceae;g__Methylobacterium;s__adhaesivum +591810 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +592092 k__Bacteria;p__Planctomycetes;c__Planctomycetia;o__B97;f__;g__;s__ +592129 k__Bacteria;p__Verrucomicrobia;c__Opitutae;o__Opitutales;f__Opitutaceae;g__Opitutus;s__ +592173 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +592291 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Propionibacteriaceae;g__;s__ +592512 k__Bacteria;p__TM6;c__SJA-4;o__S1198;f__;g__;s__ +592534 k__Bacteria;p__Planctomycetes;c__Phycisphaerae;o__WD2101;f__;g__;s__ +592615 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Sphingobium;s__ +592808 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__;g__;s__ +592858 k__Bacteria;p__Cyanobacteria;c__Chloroplast;o__Stramenopiles;f__;g__;s__ +592970 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__Myxococcaceae;g__Anaeromyxobacter;s__ +593226 k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__Hymenobacter;s__ +593232 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Methylocystaceae;g__;s__ +593302 k__Bacteria;p__Firmicutes;c__Clostridia;o__Clostridiales;f__Clostridiaceae;g__Clostridium;s__ +593325 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Gaiellales;f__Gaiellaceae;g__;s__ +593329 k__Bacteria;p__Actinobacteria;c__Acidimicrobiia;o__Acidimicrobiales;f__AKIW874;g__;s__ +593358 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__;g__;s__ +593400 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__Ellin6075;g__;s__ +593441 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodobacterales;f__Rhodobacteraceae;g__;s__ +593492 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Micromonosporaceae;g__Pilimelia;s__ +593511 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Ellin6067;f__;g__;s__ +593751 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__SC-I-84;f__;g__;s__ +593827 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Syntrophobacterales;f__Syntrophobacteraceae;g__;s__ +594169 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__;g__;s__ +605142 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ +605445 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__;s__ +605483 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +60579 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Alcaligenaceae;g__;s__ +606336 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +607006 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__;g__;s__ +607212 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Sphingomonas;s__ +608115 k__Bacteria;p__TM7;c__TM7-1;o__;f__;g__;s__ +608867 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Syntrophobacterales;f__Syntrophobacteraceae;g__;s__ +609236 k__Bacteria;p__FCPU426;c__;o__;f__;g__;s__ +609893 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +610188 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +610418 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ +610802 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Gaiellales;f__Gaiellaceae;g__;s__ +610807 k__Bacteria;p__Chloroflexi;c__TK10;o__;f__;g__;s__ +611068 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Aeromonadales;f__Aeromonadaceae;g__;s__ +611144 k__Bacteria;p__Bacteroidetes;c__Sphingobacteriia;o__Sphingobacteriales;f__;g__;s__ +611192 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Micromonosporaceae;g__Catellatospora;s__ +611320 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Legionellales;f__Coxiellaceae;g__;s__ +611597 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Pseudomonadales;f__Pseudomonadaceae;g__Pseudomonas;s__ +611657 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Xanthomonadaceae;g__;s__ +611768 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Bradyrhizobiaceae;g__;s__ +61192 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Oxalobacteraceae;g__;s__ +612405 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Acidobacteriaceae;g__;s__ +612580 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__;g__;s__ +612633 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +612951 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__mb2424;g__;s__ +61307 k__Bacteria;p__TM6;c__SJA-4;o__;f__;g__;s__ +613414 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Pseudomonadales;f__Moraxellaceae;g__Acinetobacter;s__rhizosphaerae +613779 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Sporolactobacillaceae;g__Pullulanibacillus;s__ +613888 k__Bacteria;p__Actinobacteria;c__Acidimicrobiia;o__Acidimicrobiales;f__AKIW874;g__;s__ +614081 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Xanthomonadaceae;g__Dokdonella;s__ +614651 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Rhizobiaceae;g__Agrobacterium;s__ +614860 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__;f__;g__;s__ +61498 k__Bacteria;p__TM6;c__SJA-4;o__;f__;g__;s__ +615729 k__Bacteria;p__Actinobacteria;c__Acidimicrobiia;o__Acidimicrobiales;f__;g__;s__ +615907 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__Candidatus Koribacter;s__ +616465 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__Nannocystaceae;g__Plesiocystis;s__ +616682 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ +617305 k__Bacteria;p__TM7;c__TM7-3;o__;f__;g__;s__ +617900 k__Bacteria;p__Actinobacteria;c__Acidimicrobiia;o__Acidimicrobiales;f__;g__;s__ +61812 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Oxalobacteraceae;g__Cupriavidus;s__ +618169 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ +618396 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__;s__ +619454 k__Bacteria;p__Chloroflexi;c__Anaerolineae;o__envOPS12;f__;g__;s__ +619848 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__;g__;s__ +619918 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__;g__;s__ +619976 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__;g__;s__ +620041 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__;g__;s__ +620071 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__CCU21;f__;g__;s__ +620106 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +620224 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Syntrophobacterales;f__Syntrophobacteraceae;g__;s__ +620661 k__Bacteria;p__Acidobacteria;c__iii1-8;o__DS-18;f__;g__;s__ +621278 k__Bacteria;p__Verrucomicrobia;c__Verrucomicrobiae;o__Verrucomicrobiales;f__Verrucomicrobiaceae;g__Luteolibacter;s__ +622188 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Caulobacterales;f__Caulobacteraceae;g__;s__ +622388 k__Bacteria;p__Gemmatimonadetes;c__Gemm-1;o__;f__;g__;s__ +622571 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Beijerinckiaceae;g__Beijerinckia;s__ +622731 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__;s__ +622987 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Bradyrhizobiaceae;g__Bosea;s__genosp. +623091 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Phyllobacteriaceae;g__;s__ +623167 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__;s__ +623175 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +623634 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ +623920 k__Bacteria;p__Acidobacteria;c__Holophagae;o__Holophagales;f__Holophagaceae;g__;s__ +62412 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__;g__;s__ +624830 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Caulobacterales;f__Caulobacteraceae;g__;s__ +624858 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__11-24;f__;g__;s__ +625189 k__Bacteria;p__TM7;c__TM7-1;o__;f__;g__;s__ +625475 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +625652 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__;g__;s__ +625825 k__Bacteria;p__Chlorobi;c__SJA-28;o__;f__;g__;s__ +626238 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Acidobacteriaceae;g__;s__ +6263 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__;s__ +626424 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Xanthomonadaceae;g__;s__ +6268 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Blastomonas;s__ +627179 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__11-24;f__;g__;s__ +627230 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodobacterales;f__Rhodobacteraceae;g__;s__ +627321 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Bradyrhizobiaceae;g__Balneimonas;s__ +627615 k__Bacteria;p__Cyanobacteria;c__Synechococcophycideae;o__Pseudanabaenales;f__Pseudanabaenaceae;g__Leptolyngbya;s__ +627700 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__;s__ +627765 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Xanthomonadaceae;g__;s__ +627902 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__Ellin6075;g__;s__ +628199 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Devosia;s__ +628318 k__Bacteria;p__Nitrospirae;c__Nitrospira;o__Nitrospirales;f__Nitrospiraceae;g__Nitrospira;s__ +629032 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Xanthomonadaceae;g__Dokdonella;s__ +629404 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__Comamonas;s__ +629456 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__;g__;s__ +630099 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +630306 k__Bacteria;p__Verrucomicrobia;c__[Spartobacteria];o__[Chthoniobacterales];f__[Chthoniobacteraceae];g__Candidatus Xiphinematobacter;s__ +630731 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Acidobacteriaceae;g__;s__ +630818 k__Bacteria;p__Actinobacteria;c__Acidimicrobiia;o__Acidimicrobiales;f__EB1017;g__;s__ +631363 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__MND1;f__;g__;s__ +631674 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__Hydrogenophaga;s__ +631854 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__;g__;s__ +631893 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__;g__;s__ +632692 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +632918 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__11-24;f__;g__;s__ +633707 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Ellin329;f__;g__;s__ +633905 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +634364 k__Bacteria;p__WS3;c__PRR-12;o__Sediment-1;f__PRR-10;g__;s__ +634475 k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__Adhaeribacter;s__ +635383 k__Bacteria;p__TM7;c__TM7-1;o__;f__;g__;s__ +635391 k__Bacteria;p__Bacteroidetes;c__Sphingobacteriia;o__Sphingobacteriales;f__Sphingobacteriaceae;g__;s__ +636026 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__;s__ +636236 k__Bacteria;p__TM7;c__TM7-1;o__;f__;g__;s__ +636687 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__Ellin6075;g__;s__ +636755 k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__Hymenobacter;s__ +6372 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Neisseriales;f__Neisseriaceae;g__;s__ +637267 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Intrasporangiaceae;g__;s__ +637421 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Planococcaceae;g__;s__ +637980 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +638076 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Paenibacillaceae;g__Paenibacillus;s__chondroitinus +638638 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__Candidatus Koribacter;s__ +639449 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Legionellales;f__Coxiellaceae;g__;s__ +640244 k__Bacteria;p__Bacteroidetes;c__Sphingobacteriia;o__Sphingobacteriales;f__;g__;s__ +640341 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__OM27;g__;s__ +640625 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Desulfuromonadales;f__Geobacteraceae;g__Geobacter;s__ +641188 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__;g__;s__ +641481 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__;g__;s__ +641612 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +641818 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Acidobacteriaceae;g__;s__ +64222 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Methylocystaceae;g__Methylosinus;s__ +642421 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Streptomycetaceae;g__Streptomyces;s__ +642447 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ +643321 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Burkholderiaceae;g__Burkholderia;s__ +643501 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__Ellin6075;g__;s__ +645109 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__mb2424;g__;s__ +645337 k__Bacteria;p__Fibrobacteres;c__Fibrobacteria;o__258ds10;f__;g__;s__ +645729 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__;s__ +646030 k__Bacteria;p__Acidobacteria;c__Acidobacteria-5;o__;f__;g__;s__ +646256 k__Bacteria;p__Chloroflexi;c__Anaerolineae;o__envOPS12;f__;g__;s__ +646801 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Legionellales;f__Coxiellaceae;g__Aquicella;s__ +647097 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Oxalobacteraceae;g__;s__ +647472 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +647790 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Methylocystaceae;g__;s__ +647808 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ +647906 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Thermomonosporaceae;g__;s__ +648543 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Gaiellales;f__Gaiellaceae;g__;s__ +648849 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Intrasporangiaceae;g__Phycicoccus;s__ +648854 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Planococcaceae;g__;s__ +648976 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__Segetibacter;s__ +649098 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Acidobacteriaceae;g__;s__ +649143 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Burkholderiaceae;g__Burkholderia;s__tuberum +650816 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__;g__;s__ +651004 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Nocardioidaceae;g__;s__ +651436 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Oxalobacteraceae;g__Ralstonia;s__ +651642 k__Bacteria;p__Actinobacteria;c__Acidimicrobiia;o__Acidimicrobiales;f__;g__;s__ +651779 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__mb2424;g__;s__ +6535 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Nitrosomonadales;f__Nitrosomonadaceae;g__;s__ +654083 k__Bacteria;p__Bacteroidetes;c__Sphingobacteriia;o__Sphingobacteriales;f__Sphingobacteriaceae;g__;s__ +654149 k__Bacteria;p__Cyanobacteria;c__Chloroplast;o__Chlorophyta;f__;g__;s__ +654155 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Caulobacterales;f__Caulobacteraceae;g__;s__ +654742 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Kaistobacter;s__ +655011 k__Bacteria;p__Bacteroidetes;c__Flavobacteriia;o__Flavobacteriales;f__Flavobacteriaceae;g__Flavobacterium;s__ +655287 k__Bacteria;p__OD1;c__ZB2;o__;f__;g__;s__ +655387 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +656169 k__Bacteria;p__Acidobacteria;c__Acidobacteria-5;o__;f__;g__;s__ +656314 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +656652 k__Bacteria;p__Actinobacteria;c__Acidimicrobiia;o__Acidimicrobiales;f__;g__;s__ +65677 k__Bacteria;p__WS2;c__SHA-109;o__;f__;g__;s__ +656774 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__Comamonas;s__ +65681 k__Bacteria;p__Gemmatimonadetes;c__Gemmatimonadetes;o__C114;f__;g__;s__ +65682 k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__;s__ +65684 k__Bacteria;p__Chloroflexi;c__SAR202;o__;f__;g__;s__ +65697 k__Bacteria;p__TM7;c__TM7-3;o__;f__;g__;s__ +657201 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__;g__;s__ +657452 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Devosia;s__ +657631 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__;s__ +657718 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ +658475 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__;s__ +659105 k__Bacteria;p__Bacteroidetes;c__Flavobacteriia;o__Flavobacteriales;f__Cryomorphaceae;g__;s__ +659493 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__11-24;f__;g__;s__ +660042 k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__Adhaeribacter;s__ +660122 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ +6602 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Nitrosomonadales;f__Nitrosomonadaceae;g__Nitrosovibrio;s__tenuis +661235 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +661453 k__Bacteria;p__Chloroflexi;c__Gitt-GS-136;o__;f__;g__;s__ +661494 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ +661838 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Oxalobacteraceae;g__Janthinobacterium;s__ +662514 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__mb2424;g__;s__ +662645 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Streptosporangiaceae;g__Microbispora;s__mesophila +662695 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodobacterales;f__Rhodobacteraceae;g__;s__ +662915 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Aurantimonadaceae;g__;s__ +662983 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__;g__;s__ +663399 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__Candidatus Koribacter;s__ +663545 k__Bacteria;p__Cyanobacteria;c__Nostocophycideae;o__Nostocales;f__Nostocaceae;g__Nostoc;s__spongiaeforme AKM13 +663641 k__Bacteria;p__TM7;c__;o__;f__;g__;s__ +663727 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +663880 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__;g__;s__ +663952 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Sphingomonas;s__wittichii +663978 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Burkholderiaceae;g__;s__ +664216 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__;g__;s__ +664476 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Acetobacteraceae;g__;s__ +664491 k__Bacteria;p__Bacteroidetes;c__Flavobacteriia;o__Flavobacteriales;f__Flavobacteriaceae;g__Flavobacterium;s__ +664589 k__Bacteria;p__TM7;c__TM7-1;o__;f__;g__;s__ +665015 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__Haliangiaceae;g__;s__ +665459 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__Chitinophaga;s__ +665487 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__[Bryobacteraceae];g__;s__ +665808 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__;s__ +666038 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__;s__ +666413 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__RB40;g__;s__ +666506 k__Bacteria;p__Gemmatimonadetes;c__Gemm-3;o__;f__;g__;s__ +666785 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Rhodocyclales;f__Rhodocyclaceae;g__Rhodocyclus;s__ +666883 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Bdellovibrionales;f__Bdellovibrionaceae;g__Bdellovibrio;s__ +666967 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Gaiellales;f__;g__;s__ +668399 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +668615 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__;g__;s__ +66930 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Rhizobiaceae;g__Agrobacterium;s__ +669356 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Pseudomonadales;f__Pseudomonadaceae;g__Pseudomonas;s__stutzeri +669665 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ +669776 k__Bacteria;p__WS3;c__PRR-12;o__Sediment-1;f__PRR-10;g__;s__ +669972 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ +670399 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +670446 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__;g__;s__ +670583 k__Bacteria;p__Acidobacteria;c__DA052;o__Ellin6513;f__;g__;s__ +670837 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Solirubrobacterales;f__;g__;s__ +671156 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__Segetibacter;s__ +671757 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__RB40;g__;s__ +671989 k__Bacteria;p__TM7;c__TM7-1;o__;f__;g__;s__ +672144 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__Rubrivivax;s__ +673013 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +673019 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Paenibacillaceae;g__Paenibacillus;s__ +673712 k__Bacteria;p__Acidobacteria;c__RB25;o__;f__;g__;s__ +673846 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ +673883 k__Bacteria;p__Actinobacteria;c__Rubrobacteria;o__Rubrobacterales;f__Rubrobacteraceae;g__Rubrobacter;s__ +67396 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Paenibacillaceae;g__Brevibacillus;s__reuszeri +673969 k__Bacteria;p__Chloroflexi;c__S085;o__;f__;g__;s__ +674017 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +674370 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Devosia;s__ +674895 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Rhodocyclales;f__Rhodocyclaceae;g__Dok59;s__ +67537 k__Bacteria;p__Chloroflexi;c__Anaerolineae;o__envOPS12;f__;g__;s__ +675678 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__Polyangiaceae;g__Sorangium;s__cellulosum +675744 k__Bacteria;p__Verrucomicrobia;c__[Spartobacteria];o__[Chthoniobacterales];f__[Chthoniobacteraceae];g__DA101;s__ +675804 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +676066 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Bradyrhizobiaceae;g__Bradyrhizobium;s__ +676761 k__Bacteria;p__Bacteroidetes;c__Bacteroidia;o__Bacteroidales;f__Porphyromonadaceae;g__Porphyromonas;s__ +676787 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +677064 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Oxalobacteraceae;g__;s__ +678259 k__Bacteria;p__Gemmatimonadetes;c__Gemm-1;o__;f__;g__;s__ +678584 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__;f__;g__;s__ +679048 k__Bacteria;p__Gemmatimonadetes;c__Gemmatimonadetes;o__Ellin5290;f__;g__;s__ +679240 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__;g__;s__ +679787 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ +680449 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +680824 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__;f__;g__;s__ +681114 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +681246 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Caulobacterales;f__Caulobacteraceae;g__;s__ +682134 k__Bacteria;p__Nitrospirae;c__Nitrospira;o__Nitrospirales;f__Nitrospiraceae;g__JG37-AG-70;s__ +682737 k__Bacteria;p__Bacteroidetes;c__Sphingobacteriia;o__Sphingobacteriales;f__Sphingobacteriaceae;g__Sphingobacterium;s__multivorum +683436 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__;g__;s__ +683649 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__;g__;s__ +684294 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Propionibacteriaceae;g__;s__ +684392 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ +68458 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Methylobacteriaceae;g__Methylobacterium;s__ +685739 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Sinobacteraceae;g__;s__ +686219 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Paenibacillaceae;g__Ammoniphilus;s__ +686282 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Caulobacterales;f__Caulobacteraceae;g__;s__ +686567 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ +68657 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Sphingomonas;s__ +686615 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Devosia;s__ +68753 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__badius +68763 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__ +687636 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__;f__;g__;s__ +688259 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Micromonosporaceae;g__Couchioplanes;s__ +688714 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodobacterales;f__Rhodobacteraceae;g__Rubellimicrobium;s__ +688993 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Mycobacteriaceae;g__Mycobacterium;s__ +689024 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +689528 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Intrasporangiaceae;g__;s__ +689666 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ +689696 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__;s__ +690278 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__;s__ +690938 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Xanthomonadaceae;g__Thermomonas;s__ +691284 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__Ellin6075;g__;s__ +691349 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Sinobacteraceae;g__;s__ +691471 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__;f__;g__;s__ +692246 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ +692603 k__Bacteria;p__TM6;c__SJA-4;o__;f__;g__;s__ +693348 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +693721 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Xanthomonadaceae;g__;s__ +69384 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Corynebacteriaceae;g__Corynebacterium;s__ +693971 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__;g__;s__ +694452 k__Bacteria;p__Nitrospirae;c__Nitrospira;o__Nitrospirales;f__Nitrospiraceae;g__Nitrospira;s__ +694507 k__Bacteria;p__Acidobacteria;c__Acidobacteria-5;o__;f__;g__;s__ +694869 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__Leptothrix;s__ +695392 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +695567 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Acidobacteriaceae;g__;s__ +696105 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__Ellin6075;g__;s__ +696167 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__;s__ +696181 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Xanthomonadaceae;g__;s__ +697651 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ +697708 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__Candidatus Koribacter;s__ +697997 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__;g__;s__ +698236 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Pseudonocardiaceae;g__Actinomycetospora;s__ +698399 k__Bacteria;p__OD1;c__ZB2;o__;f__;g__;s__ +698496 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Burkholderiaceae;g__Burkholderia;s__ +698757 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__;g__;s__ +699085 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Acidobacteriaceae;g__;s__ +699114 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__;g__;s__ +69916 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Nitrosomonadales;f__Nitrosomonadaceae;g__;s__ +699161 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +699197 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Micromonosporaceae;g__Longispora;s__fulva +699224 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Oxalobacteraceae;g__;s__ +699257 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Novosphingobium;s__ +699353 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Gaiellales;f__Gaiellaceae;g__;s__ +699694 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__ +699876 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ +700130 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__;g__;s__ +700476 k__Bacteria;p__TM7;c__TM7-3;o__;f__;g__;s__ +700635 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +70100 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ +701294 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__;s__ +701722 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__PK29;f__;g__;s__ +701738 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Acetobacteraceae;g__;s__ +701743 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +701989 k__Bacteria;p__Actinobacteria;c__Acidimicrobiia;o__Acidimicrobiales;f__Iamiaceae;g__Iamia;s__ +702015 k__Bacteria;p__Bacteroidetes;c__Sphingobacteriia;o__Sphingobacteriales;f__;g__;s__ +702181 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__Segetibacter;s__ +702276 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__SC-I-84;f__;g__;s__ +702896 k__Bacteria;p__Chloroflexi;c__S085;o__;f__;g__;s__ +703224 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +704267 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__;s__ +704614 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +704830 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Geodermatophilaceae;g__Geodermatophilus;s__obscurus +705063 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__;g__;s__ +705559 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Rhodocyclales;f__Rhodocyclaceae;g__;s__ +70614 k__Bacteria;p__Acidobacteria;c__DA052;o__Ellin6513;f__;g__;s__ +706141 k__Bacteria;p__Bacteroidetes;c__Sphingobacteriia;o__Sphingobacteriales;f__;g__;s__ +706728 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Kaistobacter;s__ +707532 k__Bacteria;p__Gemmatimonadetes;c__Gemm-5;o__;f__;g__;s__ +708420 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +708579 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ +708805 k__Bacteria;p__TM7;c__TM7-3;o__EW055;f__;g__;s__ +709371 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Acetobacteraceae;g__Roseomonas;s__ +709657 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__;s__ +710123 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__;g__;s__ +710414 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Solirubrobacterales;f__Conexibacteraceae;g__;s__ +710574 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +710628 k__Bacteria;p__Acidobacteria;c__Acidobacteria-5;o__;f__;g__;s__ +711663 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Acetobacteraceae;g__;s__ +711843 k__Bacteria;p__Bacteroidetes;c__Flavobacteriia;o__Flavobacteriales;f__Flavobacteriaceae;g__Flavobacterium;s__succinicans +712052 k__Bacteria;p__Actinobacteria;c__Acidimicrobiia;o__Acidimicrobiales;f__;g__;s__ +712222 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Acetobacteraceae;g__;s__ +712515 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +71326 k__Bacteria;p__Cyanobacteria;c__Oscillatoriophycideae;o__Chroococcales;f__Xenococcaceae;g__;s__ +71341 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Nocardiaceae;g__Nocardia;s__ +71352 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Microbacteriaceae;g__Agromyces;s__ +713738 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ +713999 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__RB40;g__;s__ +714446 k__Bacteria;p__TM7;c__TM7-1;o__;f__;g__;s__ +715453 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Bdellovibrionales;f__Bdellovibrionaceae;g__Bdellovibrio;s__ +715700 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +715993 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__Flavisolibacter;s__ +716011 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ +71612 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__;f__;g__;s__ +716611 k__Bacteria;p__Cyanobacteria;c__Nostocophycideae;o__Nostocales;f__Scytonemataceae;g__;s__ +717396 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +718335 k__Bacteria;p__Actinobacteria;c__Acidimicrobiia;o__Acidimicrobiales;f__C111;g__;s__ +719008 k__Bacteria;p__Bacteroidetes;c__Sphingobacteriia;o__Sphingobacteriales;f__Sphingobacteriaceae;g__;s__ +720188 k__Bacteria;p__OD1;c__ZB2;o__;f__;g__;s__ +720193 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__Segetibacter;s__ +720217 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__Haliangiaceae;g__;s__ +721008 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__;g__;s__ +721703 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__Rubrivivax;s__ +722416 k__Bacteria;p__Chloroflexi;c__Thermomicrobia;o__Ellin6537;f__;g__;s__ +722895 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Sphingopyxis;s__ +723088 k__Bacteria;p__Cyanobacteria;c__4C0d-2;o__MLE1-12;f__;g__;s__ +723100 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ +723142 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__MND1;f__;g__;s__ +723493 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +723690 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__Candidatus Koribacter;s__ +724271 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Planococcaceae;g__Lysinibacillus;s__boronitolerans +724274 k__Bacteria;p__Actinobacteria;c__Acidimicrobiia;o__Acidimicrobiales;f__;g__;s__ +724277 k__Bacteria;p__Acidobacteria;c__Acidobacteria-5;o__;f__;g__;s__ +725240 k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__Sporocytophaga;s__ +725444 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Beijerinckiaceae;g__Methyloferula;s__stellata +725990 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Micrococcaceae;g__Arthrobacter;s__pascens +726344 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +726866 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__Ellin6075;g__;s__ +726955 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__;g__;s__ +726960 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ +727319 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__11-24;f__;g__;s__ +727380 k__Bacteria;p__Proteobacteria;c__;o__;f__;g__;s__ +727692 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Sinobacteraceae;g__;s__ +728248 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__;g__;s__ +728344 k__Bacteria;p__Chloroflexi;c__Ellin6529;o__;f__;g__;s__ +728545 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__;g__;s__ +728640 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +728677 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Streptosporangiaceae;g__Nonomuraea;s__ +729167 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__;g__;s__ +729349 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Ellin329;f__;g__;s__ +729473 k__Bacteria;p__TM7;c__;o__;f__;g__;s__ +729697 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Solirubrobacterales;f__Conexibacteraceae;g__Conexibacter;s__ +729865 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__;g__;s__ +729958 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Rhodocyclales;f__Rhodocyclaceae;g__Thauera;s__ +730661 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +731014 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Micromonosporaceae;g__Pilimelia;s__ +731707 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__Xylophilus;s__ampelinus +731730 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +732890 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__PK29;f__;g__;s__ +732929 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__;f__;g__;s__ +733009 k__Bacteria;p__Chlorobi;c__;o__;f__;g__;s__ +73339 k__Bacteria;p__Gemmatimonadetes;c__Gemm-5;o__;f__;g__;s__ +733712 k__Bacteria;p__Acidobacteria;c__iii1-8;o__32-20;f__;g__;s__ +733758 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Streptomycetaceae;g__Streptomyces;s__ +733847 k__Bacteria;p__WPS-2;c__;o__;f__;g__;s__ +734203 k__Bacteria;p__Verrucomicrobia;c__[Pedosphaerae];o__[Pedosphaerales];f__;g__;s__ +734275 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Xanthomonadaceae;g__;s__ +734582 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +735713 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__ +735771 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Actinosynnemataceae;g__;s__ +735782 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__;g__;s__ +736099 k__Bacteria;p__Bacteroidetes;c__Sphingobacteriia;o__Sphingobacteriales;f__Sphingobacteriaceae;g__;s__ +736769 k__Bacteria;p__Bacteroidetes;c__Flavobacteriia;o__Flavobacteriales;f__[Weeksellaceae];g__Chryseobacterium;s__ +736813 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Mycobacteriaceae;g__Mycobacterium;s__ +736985 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rickettsiales;f__;g__;s__ +737690 k__Bacteria;p__Fibrobacteres;c__Fibrobacteria;o__258ds10;f__;g__;s__ +73825 k__Bacteria;p__Bacteroidetes;c__Flavobacteriia;o__Flavobacteriales;f__Flavobacteriaceae;g__Flavobacterium;s__ +738747 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +739084 k__Bacteria;p__Gemmatimonadetes;c__Gemm-1;o__;f__;g__;s__ +739220 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__;s__ +73951 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__humi +739794 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Pseudonocardiaceae;g__Pseudonocardia;s__ +740115 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__;g__;s__ +74063 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__;s__ +740825 k__Bacteria;p__TM7;c__TM7-3;o__EW055;f__;g__;s__ +740940 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Oxalobacteraceae;g__;s__ +741312 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__;g__;s__ +741384 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +741726 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__;s__ +741975 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Solirubrobacterales;f__;g__;s__ +742110 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Acidobacteriaceae;g__;s__ +742260 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Acidobacteriaceae;g__Edaphobacter;s__modestum +742307 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__;s__ +742822 k__Bacteria;p__Elusimicrobia;c__Elusimicrobia;o__FAC88;f__;g__;s__ +74326 k__Bacteria;p__WS3;c__PRR-12;o__Sediment-1;f__PRR-10;g__;s__ +74352 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Micromonosporaceae;g__Catellatospora;s__ +744237 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__;s__ +74443 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Xanthomonadaceae;g__;s__ +744505 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ +745382 k__Bacteria;p__Bacteroidetes;c__Sphingobacteriia;o__Sphingobacteriales;f__Sphingobacteriaceae;g__;s__ +745482 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +746037 k__Bacteria;p__Gemmatimonadetes;c__Gemm-3;o__;f__;g__;s__ +746927 k__Bacteria;p__Acidobacteria;c__DA052;o__Ellin6513;f__;g__;s__ +747721 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +748070 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +748798 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__[Entotheonellales];f__[Entotheonellaceae];g__;s__ +749229 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__;s__ +749563 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Microbacteriaceae;g__;s__ +749768 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__PK29;f__;g__;s__ +749805 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Oxalobacteraceae;g__Cupriavidus;s__ +749896 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Sphingomonas;s__wittichii +749918 k__Bacteria;p__Bacteroidetes;c__Flavobacteriia;o__Flavobacteriales;f__Flavobacteriaceae;g__Flavobacterium;s__ +749958 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ +750289 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Syntrophobacterales;f__Syntrophaceae;g__Desulfobacca;s__ +750320 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__Polyangiaceae;g__Sorangium;s__cellulosum +750490 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__RB40;g__;s__ +750642 k__Bacteria;p__WS3;c__PRR-12;o__LD1-PA13;f__;g__;s__ +750895 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +751155 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ +751551 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__;g__;s__ +751571 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Intrasporangiaceae;g__;s__ +751862 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Caulobacterales;f__Caulobacteraceae;g__;s__ +751947 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +752778 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Nitrosomonadales;f__Nitrosomonadaceae;g__;s__ +752799 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +752915 k__Bacteria;p__TM7;c__TM7-1;o__;f__;g__;s__ +753636 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__Variovorax;s__paradoxus +75371 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Burkholderiaceae;g__Burkholderia;s__glathei +753723 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__;s__ +754821 k__Bacteria;p__Chlorobi;c__BSV26;o__PK329;f__;g__;s__ +755077 k__Bacteria;p__Acidobacteria;c__Acidobacteria-5;o__;f__;g__;s__ +755282 k__Bacteria;p__Actinobacteria;c__Acidimicrobiia;o__Acidimicrobiales;f__AKIW874;g__;s__ +755581 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__MIZ46;f__;g__;s__ +756603 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Actinosynnemataceae;g__Kibdelosporangium;s__ +757263 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Syntrophobacterales;f__Syntrophobacteraceae;g__;s__ +757718 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__;g__;s__ +758197 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__MIZ46;f__;g__;s__ +758309 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__SC-I-84;f__;g__;s__ +758418 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Alcaligenaceae;g__;s__ +758877 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__;s__ +759053 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Alcaligenaceae;g__;s__ +759250 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__;g__;s__ +759415 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Solirubrobacterales;f__Conexibacteraceae;g__;s__ +759624 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Oxalobacteraceae;g__;s__ +759692 k__Bacteria;p__Actinobacteria;c__Acidimicrobiia;o__Acidimicrobiales;f__;g__;s__ +759747 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +760846 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Acetobacteraceae;g__;s__ +760978 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ +76099 k__Bacteria;p__Acidobacteria;c__Holophagae;o__Holophagales;f__Holophagaceae;g__Geothrix;s__ +761545 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Devosia;s__ +761783 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Sinobacteraceae;g__;s__ +761857 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +763169 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__;f__;g__;s__ +763545 k__Bacteria;p__WS3;c__PRR-12;o__Sediment-1;f__PRR-10;g__;s__ +76374 k__Bacteria;p__Gemmatimonadetes;c__Gemmatimonadetes;o__KD8-87;f__;g__;s__ +763976 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__;g__;s__ +764312 k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__Adhaeribacter;s__ +764838 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Caulobacterales;f__;g__;s__ +765240 k__Bacteria;p__Firmicutes;c__Clostridia;o__Clostridiales;f__Ruminococcaceae;g__;s__ +765388 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Caulobacterales;f__Caulobacteraceae;g__;s__ +765676 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Rhodobiaceae;g__Afifella;s__ +766159 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Oxalobacteraceae;g__;s__ +766178 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__;g__;s__ +766214 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Sporichthyaceae;g__;s__ +766768 k__Bacteria;p__Firmicutes;c__Bacilli;o__Lactobacillales;f__Enterococcaceae;g__Enterococcus;s__ +767270 k__Bacteria;p__Bacteroidetes;c__Bacteroidia;o__Bacteroidales;f__Porphyromonadaceae;g__Porphyromonas;s__ +767325 k__Bacteria;p__Acidobacteria;c__Acidobacteria-5;o__;f__;g__;s__ +767415 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Acidobacteriaceae;g__;s__ +768835 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ +769365 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Acetobacteraceae;g__;s__ +769696 k__Bacteria;p__Chloroflexi;c__Ellin6529;o__;f__;g__;s__ +770004 k__Bacteria;p__Acidobacteria;c__iii1-8;o__DS-18;f__;g__;s__ +770499 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Planococcaceae;g__;s__ +770614 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Spirobacillales;f__;g__;s__ +771023 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__;g__;s__ +771632 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__;s__ +772383 k__Bacteria;p__Acidobacteria;c__DA052;o__Ellin6513;f__;g__;s__ +772410 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__Sediminibacterium;s__ +772561 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__;s__ +773026 k__Bacteria;p__Verrucomicrobia;c__[Pedosphaerae];o__[Pedosphaerales];f__;g__;s__ +773125 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__;g__;s__ +773538 k__Bacteria;p__Actinobacteria;c__Rubrobacteria;o__Rubrobacterales;f__Rubrobacteraceae;g__Rubrobacter;s__ +77412 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__;s__ +774746 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Hyphomicrobium;s__ +774826 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Burkholderiaceae;g__Salinispora;s__tropica +775178 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodobacterales;f__Hyphomonadaceae;g__;s__ +775560 k__Bacteria;p__Acidobacteria;c__PAUC37f;o__;f__;g__;s__ +775737 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__;s__ +776186 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__;s__ +776288 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Syntrophobacterales;f__Syntrophobacteraceae;g__;s__ +776657 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Enterobacteriales;f__Enterobacteriaceae;g__;s__ +77692 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Paenibacillaceae;g__Paenibacillus;s__larvae +777519 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Xanthomonadaceae;g__;s__ +777983 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Paenibacillaceae;g__Paenibacillus;s__ +778169 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Pseudonocardiaceae;g__Amycolatopsis;s__ +778762 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Solirubrobacterales;f__Patulibacteraceae;g__Patulibacter;s__ +778795 k__Bacteria;p__Gemmatimonadetes;c__Gemmatimonadetes;o__;f__;g__;s__ +778968 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Nocardioidaceae;g__;s__ +779751 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Rhodocyclales;f__Rhodocyclaceae;g__Dechloromonas;s__ +7801 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Xanthomonadaceae;g__Stenotrophomonas;s__acidaminiphila +781515 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Streptomycetaceae;g__;s__ +782289 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Pseudomonadales;f__Pseudomonadaceae;g__Pseudomonas;s__stutzeri +782387 k__Bacteria;p__Gemmatimonadetes;c__Gemmatimonadetes;o__;f__;g__;s__ +782872 k__Bacteria;p__Bacteroidetes;c__Flavobacteriia;o__Flavobacteriales;f__Flavobacteriaceae;g__Flavobacterium;s__ +782955 k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__Hymenobacter;s__ +783106 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__CCU21;f__;g__;s__ +783209 k__Bacteria;p__TM7;c__TM7-3;o__EW055;f__;g__;s__ +783338 k__Bacteria;p__Acidobacteria;c__DA052;o__Ellin6513;f__;g__;s__ +783370 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +783388 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +783593 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ +783687 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__Methylibium;s__ +783719 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__;s__ +783801 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +78422 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +784564 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Bdellovibrionales;f__Bdellovibrionaceae;g__Bdellovibrio;s__ +784736 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Erythrobacteraceae;g__Erythromicrobium;s__ +784861 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Mycobacteriaceae;g__Mycobacterium;s__vaccae +785522 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Planococcaceae;g__Paenisporosarcina;s__ +786066 k__Bacteria;p__Cyanobacteria;c__;o__;f__;g__;s__ +78630 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__;g__;s__ +786363 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Paenibacillaceae;g__Paenibacillus;s__ +78648 k__Bacteria;p__Acidobacteria;c__DA052;o__Ellin6513;f__;g__;s__ +786876 k__Bacteria;p__Bacteroidetes;c__Flavobacteriia;o__Flavobacteriales;f__[Weeksellaceae];g__Elizabethkingia;s__meningoseptica +787017 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__;g__;s__ +787350 k__Bacteria;p__Gemmatimonadetes;c__Gemmatimonadetes;o__Gemmatimonadales;f__;g__;s__ +78776 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__;f__;g__;s__ +78784 k__Bacteria;p__Actinobacteria;c__MB-A2-108;o__0319-7L14;f__;g__;s__ +78832 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ +78839 k__Bacteria;p__Acidobacteria;c__DA052;o__Ellin6513;f__;g__;s__ +788544 k__Bacteria;p__Nitrospirae;c__Nitrospira;o__Nitrospirales;f__0319-6A21;g__;s__ +789313 k__Bacteria;p__Planctomycetes;c__Phycisphaerae;o__WD2101;f__;g__;s__ +789411 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Solirubrobacterales;f__Solirubrobacteraceae;g__;s__ +78950 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Legionellales;f__Coxiellaceae;g__Aquicella;s__ +789730 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__;s__ +789741 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Nocardioidaceae;g__;s__ +789791 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ +789814 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Streptomycetaceae;g__;s__ +79012 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ +790190 k__Bacteria;p__Chlorobi;c__OPB56;o__;f__;g__;s__ +79038 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +790384 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Microbacteriaceae;g__;s__ +790392 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ +79085 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__Methylibium;s__ +790913 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ +790999 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Rhizobiaceae;g__Agrobacterium;s__ +791077 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__;s__ +791123 k__Bacteria;p__Actinobacteria;c__Acidimicrobiia;o__Acidimicrobiales;f__;g__;s__ +7912 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Legionellales;f__Legionellaceae;g__Legionella;s__ +791504 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +791732 k__Bacteria;p__Cyanobacteria;c__Chloroplast;o__Chlorophyta;f__Trebouxiophyceae;g__Coccomyxa;s__solorinae-saccatae +791738 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__;s__ +791926 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__MIZ46;f__;g__;s__ +792045 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Legionellales;f__Coxiellaceae;g__;s__ +792078 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__;g__;s__ +792104 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +792433 k__Bacteria;p__Tenericutes;c__Mollicutes;o__Anaeroplasmatales;f__Anaeroplasmataceae;g__Asteroleplasma;s__ +792450 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ +792754 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +792863 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Pseudomonadales;f__Pseudomonadaceae;g__Pseudomonas;s__ +792865 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Desulfuromonadales;f__Geobacteraceae;g__Geobacter;s__ +793233 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__;s__ +793359 k__Bacteria;p__Chloroflexi;c__Anaerolineae;o__A31;f__S47;g__;s__ +7934 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Legionellales;f__Legionellaceae;g__Legionella;s__ +793702 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Acidobacteriaceae;g__;s__ +793975 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Microbacteriaceae;g__Agromyces;s__ +794280 k__Bacteria;p__Gemmatimonadetes;c__Gemm-1;o__;f__;g__;s__ +794901 k__Bacteria;p__Bacteroidetes;c__Sphingobacteriia;o__Sphingobacteriales;f__Sphingobacteriaceae;g__;s__ +795955 k__Bacteria;p__Bacteroidetes;c__Sphingobacteriia;o__Sphingobacteriales;f__Sphingobacteriaceae;g__;s__ +796865 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__Paucibacter;s__ +797147 k__Bacteria;p__Tenericutes;c__Mollicutes;o__Anaeroplasmatales;f__Anaeroplasmataceae;g__Asteroleplasma;s__ +797182 k__Bacteria;p__WPS-2;c__;o__;f__;g__;s__ +797310 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__;s__ +797572 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__;s__ +798097 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Devosia;s__ +798429 k__Bacteria;p__TM6;c__SJA-4;o__;f__;g__;s__ +799959 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Solirubrobacterales;f__Patulibacteraceae;g__;s__ +800050 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +800127 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Acetobacteraceae;g__;s__ +800619 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__;f__;g__;s__ +80070 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__;s__ +800722 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__;s__ +800841 k__Bacteria;p__Actinobacteria;c__Acidimicrobiia;o__Acidimicrobiales;f__;g__;s__ +80113 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Rhizobiaceae;g__Rhizobium;s__ +801192 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__Leptothrix;s__ +801258 k__Bacteria;p__Verrucomicrobia;c__[Methylacidiphilae];o__Methylacidiphilales;f__;g__;s__ +801268 k__Bacteria;p__Planctomycetes;c__Planctomycetia;o__Gemmatales;f__Isosphaeraceae;g__;s__ +801578 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +801831 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +802097 k__Bacteria;p__TM7;c__TM7-1;o__;f__;g__;s__ +802669 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Xanthomonadaceae;g__;s__ +803166 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__Cystobacteraceae;g__;s__ +803238 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__;g__;s__ +803577 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Phyllobacteriaceae;g__Mesorhizobium;s__ +804114 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__;s__ +804142 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +804156 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Bradyrhizobiaceae;g__;s__ +804187 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__;g__;s__ +804660 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Sphingobium;s__ +80475 k__Bacteria;p__Armatimonadetes;c__Armatimonadia;o__Armatimonadales;f__Armatimonadaceae;g__;s__ +804798 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Sinobacteraceae;g__;s__ +805173 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Xanthomonadaceae;g__Lysobacter;s__ +805207 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Burkholderiaceae;g__;s__ +805208 k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__Hymenobacter;s__ +805334 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__;f__;g__;s__ +805452 k__Bacteria;p__Bacteroidetes;c__Sphingobacteriia;o__Sphingobacteriales;f__Sphingobacteriaceae;g__;s__ +805487 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Streptomycetaceae;g__Streptomyces;s__ +805491 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Methylophilales;f__Methylophilaceae;g__;s__ +805654 k__Bacteria;p__Planctomycetes;c__Phycisphaerae;o__Phycisphaerales;f__;g__;s__ +805676 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__mb2424;g__;s__ +806063 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__Ellin6075;g__;s__ +806280 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__Candidatus Koribacter;s__ +806333 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Mycobacteriaceae;g__Mycobacterium;s__ +806378 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__;s__ +806393 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__NB1-j;f__;g__;s__ +806568 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__;s__ +806686 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Enterobacteriales;f__Enterobacteriaceae;g__;s__ +806689 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +806719 k__Bacteria;p__Cyanobacteria;c__Oscillatoriophycideae;o__Chroococcales;f__Xenococcaceae;g__;s__ +807110 k__Bacteria;p__Acidobacteria;c__DA052;o__Ellin6513;f__;g__;s__ +807174 k__Bacteria;p__TM7;c__TM7-1;o__;f__;g__;s__ +807283 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__Ellin6075;g__;s__ +807299 k__Bacteria;p__Planctomycetes;c__Phycisphaerae;o__WD2101;f__;g__;s__ +807329 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodobacterales;f__Rhodobacteraceae;g__Rhodobacter;s__ +807452 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodobacterales;f__Rhodobacteraceae;g__Rhodobacter;s__ +807456 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__;s__ +807525 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__;s__ +807543 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ +807544 k__Bacteria;p__Gemmatimonadetes;c__Gemmatimonadetes;o__C114;f__;g__;s__ +807707 k__Bacteria;p__Acidobacteria;c__DA052;o__Ellin6513;f__;g__;s__ +807728 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +807751 k__Bacteria;p__Gemmatimonadetes;c__Gemm-1;o__;f__;g__;s__ +807761 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__;s__ +807778 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__;f__;g__;s__ +807804 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__;g__;s__ +808092 k__Bacteria;p__Nitrospirae;c__Nitrospira;o__Nitrospirales;f__Nitrospiraceae;g__;s__ +808224 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__Candidatus Koribacter;s__ +808254 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__;s__ +808320 k__Bacteria;p__Cyanobacteria;c__;o__;f__;g__;s__ +808482 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +808692 k__Bacteria;p__Acidobacteria;c__TM1;o__;f__;g__;s__ +808706 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Xanthomonadaceae;g__Lysobacter;s__ +80876 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Oxalobacteraceae;g__Herminiimonas;s__ +808856 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__NB1-j;f__JTB38;g__;s__ +808919 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__Polyangiaceae;g__Aetherobacter;s__fasciculatus +809101 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Rhodocyclales;f__Rhodocyclaceae;g__;s__ +809189 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +809256 k__Bacteria;p__Verrucomicrobia;c__Opitutae;o__Opitutales;f__Opitutaceae;g__;s__ +809305 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__Haliangiaceae;g__;s__ +809485 k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__;s__ +809489 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__muralis +809628 k__Bacteria;p__Bacteroidetes;c__Bacteroidia;o__Bacteroidales;f__;g__;s__ +809643 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Oxalobacteraceae;g__Ralstonia;s__ +809686 k__Bacteria;p__Acidobacteria;c__DA052;o__Ellin6513;f__;g__;s__ +8097 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Methylococcales;f__Crenotrichaceae;g__Crenothrix;s__ +809715 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Kaistobacter;s__ +809861 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Enterobacteriales;f__Enterobacteriaceae;g__;s__ +809945 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Methylophilales;f__;g__;s__ +809993 k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__Hymenobacter;s__ +810096 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__;s__ +810109 k__Bacteria;p__Bacteroidetes;c__Sphingobacteriia;o__Sphingobacteriales;f__Sphingobacteriaceae;g__;s__ +810630 k__Bacteria;p__Gemmatimonadetes;c__Gemm-5;o__;f__;g__;s__ +810700 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__;s__ +810792 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Alteromonadales;f__OM60;g__;s__ +811074 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Bradyrhizobiaceae;g__;s__ +811122 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Xanthomonadaceae;g__;s__ +811133 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__;s__ +811148 k__Bacteria;p__TM6;c__SJA-4;o__;f__;g__;s__ +811179 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Planococcaceae;g__Lysinibacillus;s__boronitolerans +811187 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +811263 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Gaiellales;f__Gaiellaceae;g__;s__ +811318 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__;g__;s__ +811358 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__;g__;s__ +811435 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +811449 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Caulobacterales;f__Caulobacteraceae;g__;s__ +811458 k__Bacteria;p__AD3;c__JG37-AG-4;o__;f__;g__;s__ +811722 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Legionellales;f__;g__;s__ +81191 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Xanthomonadaceae;g__;s__ +811968 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Bdellovibrionales;f__Bdellovibrionaceae;g__Bdellovibrio;s__ +812071 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Sphingobium;s__ +812200 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +812381 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Xanthomonadaceae;g__;s__ +812396 k__Bacteria;p__Verrucomicrobia;c__[Methylacidiphilae];o__S-BQ2-57;f__;g__;s__ +81241 k__Bacteria;p__Cyanobacteria;c__Nostocophycideae;o__Nostocales;f__Nostocaceae;g__;s__ +812465 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +812476 k__Bacteria;p__Cyanobacteria;c__Synechococcophycideae;o__Pseudanabaenales;f__Pseudanabaenaceae;g__Leptolyngbya;s__frigida +812496 k__Bacteria;p__Acidobacteria;c__DA052;o__Ellin6513;f__;g__;s__ +81252 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Oxalobacteraceae;g__;s__ +812522 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Solirubrobacterales;f__;g__;s__ +812595 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__;g__;s__ +812678 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__BD7-3;f__;g__;s__ +812690 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__;g__;s__ +812730 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ +812752 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ +812801 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +812809 k__Bacteria;p__Acidobacteria;c__Acidobacteria-5;o__;f__;g__;s__ +812831 k__Bacteria;p__Acidobacteria;c__DA052;o__Ellin6513;f__;g__;s__ +812908 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Alicyclobacillaceae;g__Alicyclobacillus;s__ +812935 k__Bacteria;p__Cyanobacteria;c__Oscillatoriophycideae;o__Oscillatoriales;f__Phormidiaceae;g__Phormidium;s__ +812971 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Micrococcaceae;g__;s__ +812972 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Streptomycetaceae;g__;s__ +813142 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +813272 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__Flavisolibacter;s__ +813352 k__Bacteria;p__Cyanobacteria;c__Nostocophycideae;o__Nostocales;f__Nostocaceae;g__Nostoc;s__ +813418 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__;s__ +813442 k__Bacteria;p__Elusimicrobia;c__Elusimicrobia;o__FAC88;f__;g__;s__ +813522 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__;s__ +813632 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__OM27;g__;s__ +813690 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__;s__ +813705 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +813885 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__MND1;f__;g__;s__ +813916 k__Bacteria;p__Nitrospirae;c__Nitrospira;o__Nitrospirales;f__0319-6A21;g__;s__ +813938 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Kaistobacter;s__ +814119 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Gallionellales;f__Gallionellaceae;g__Gallionella;s__ +81414 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +814176 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Burkholderiaceae;g__Burkholderia;s__ +814193 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Micrococcaceae;g__;s__ +814232 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +814365 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +814416 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__;g__;s__ +814425 k__Bacteria;p__Cyanobacteria;c__;o__;f__;g__;s__ +814504 k__Bacteria;p__Bacteroidetes;c__Flavobacteriia;o__Flavobacteriales;f__Flavobacteriaceae;g__Flavobacterium;s__ +814529 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Novosphingobium;s__ +814570 k__Bacteria;p__Actinobacteria;c__Acidimicrobiia;o__Acidimicrobiales;f__;g__;s__ +814613 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Xanthomonadaceae;g__;s__ +814705 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Sinobacteraceae;g__;s__ +814924 k__Bacteria;p__Actinobacteria;c__Rubrobacteria;o__Rubrobacterales;f__Rubrobacteraceae;g__Rubrobacter;s__ +815116 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Acetobacteraceae;g__;s__ +815167 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Saprospiraceae;g__;s__ +815169 k__Bacteria;p__Cyanobacteria;c__Chloroplast;o__Streptophyta;f__;g__;s__ +815236 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__;s__ +815303 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__SBla14;f__;g__;s__ +815311 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Acetobacteraceae;g__;s__ +815498 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Mycobacteriaceae;g__Mycobacterium;s__ +815546 k__Bacteria;p__Acidobacteria;c__DA052;o__Ellin6513;f__;g__;s__ +815701 k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__;s__ +815724 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Micromonosporaceae;g__;s__ +815907 k__Bacteria;p__TM7;c__TM7-1;o__;f__;g__;s__ +815909 k__Bacteria;p__Cyanobacteria;c__;o__;f__;g__;s__ +815911 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Acetobacteraceae;g__;s__ +815931 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__11-24;f__;g__;s__ +815975 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodobacterales;f__Hyphomonadaceae;g__;s__ +816001 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Xanthomonadaceae;g__;s__ +816229 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__SBla14;f__;g__;s__ +816254 k__Bacteria;p__Actinobacteria;c__Acidimicrobiia;o__Acidimicrobiales;f__;g__;s__ +816291 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Gaiellales;f__Gaiellaceae;g__;s__ +816394 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Rhodocyclales;f__Rhodocyclaceae;g__Zoogloea;s__ +816425 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__MIZ46;f__;g__;s__ +816505 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +816587 k__Bacteria;p__Actinobacteria;c__MB-A2-108;o__0319-7L14;f__;g__;s__ +816590 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Paenibacillaceae;g__Paenibacillus;s__ +816631 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +81664 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Burkholderiaceae;g__;s__ +816705 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__Ellin6075;g__;s__ +816732 k__Bacteria;p__Gemmatimonadetes;c__Gemm-5;o__;f__;g__;s__ +816795 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +816960 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__;f__;g__;s__ +817066 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__Candidatus Koribacter;s__ +817141 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Bdellovibrionales;f__Bdellovibrionaceae;g__Bdellovibrio;s__ +817185 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__;s__ +817221 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__;s__ +817234 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Paenibacillaceae;g__Paenibacillus;s__ +81732 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__;f__;g__;s__ +817586 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Thiotrichales;f__Piscirickettsiaceae;g__;s__ +817630 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Gaiellales;f__Gaiellaceae;g__;s__ +817706 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Caulobacterales;f__Caulobacteraceae;g__;s__ +81772 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__;s__ +818024 k__Bacteria;p__Cyanobacteria;c__Oscillatoriophycideae;o__Oscillatoriales;f__Phormidiaceae;g__Phormidium;s__ +818063 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__SBla14;f__;g__;s__ +818174 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Saprospiraceae;g__;s__ +818286 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +818316 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__;s__ +818353 k__Bacteria;p__;c__;o__;f__;g__;s__ +818411 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__;s__ +818429 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__;g__;s__ +818450 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__Paucibacter;s__ +818461 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__Ellin6075;g__;s__ +818509 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__;s__ +818605 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__;g__;s__ +818854 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodobacterales;f__Rhodobacteraceae;g__Rhodobacter;s__ +818872 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__Nannocystaceae;g__Nannocystis;s__ +818976 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__;g__;s__ +818994 k__Bacteria;p__Chloroflexi;c__Anaerolineae;o__pLW-97;f__;g__;s__ +819027 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__Skermanella;s__ +819037 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__Variovorax;s__paradoxus +819185 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__Polyangiaceae;g__;s__ +81939 k__Bacteria;p__Bacteroidetes;c__Sphingobacteriia;o__Sphingobacteriales;f__;g__;s__ +819400 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__;s__ +81941 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Xanthomonadaceae;g__;s__ +819498 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Caulobacterales;f__Caulobacteraceae;g__;s__ +819501 k__Bacteria;p__Acidobacteria;c__;o__;f__;g__;s__ +819599 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__mb2424;g__;s__ +819659 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__;g__;s__ +819663 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ +819681 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Gaiellales;f__Gaiellaceae;g__;s__ +819702 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Oxalobacteraceae;g__;s__ +819708 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Oxalobacteraceae;g__;s__ +819730 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__Segetibacter;s__ +819853 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__MIZ46;f__;g__;s__ +819926 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +81997 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Oxalobacteraceae;g__Janthinobacterium;s__ +819976 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__CCU21;f__;g__;s__ +820053 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__;s__ +82007 k__Bacteria;p__Chloroflexi;c__Ellin6529;o__;f__;g__;s__ +820086 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__;s__ +820091 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Syntrophobacterales;f__Syntrophobacteraceae;g__;s__ +820158 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__SC-I-84;f__;g__;s__ +820161 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Syntrophobacterales;f__Syntrophobacteraceae;g__;s__ +820182 k__Bacteria;p__Acidobacteria;c__DA052;o__Ellin6513;f__;g__;s__ +820191 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +820335 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Bdellovibrionales;f__Bdellovibrionaceae;g__Bdellovibrio;s__ +820559 k__Bacteria;p__OP8;c__OP8_1;o__SHA-124;f__;g__;s__ +820747 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__;s__ +820774 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__Candidatus Koribacter;s__ +820963 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__ +820966 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Sinobacteraceae;g__;s__ +820987 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__;g__;s__ +821052 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__;s__ +821158 k__Bacteria;p__Cyanobacteria;c__Synechococcophycideae;o__Pseudanabaenales;f__Pseudanabaenaceae;g__Leptolyngbya;s__ +821187 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Acidobacteriaceae;g__;s__ +821325 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Planococcaceae;g__Solibacillus;s__ +821385 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Sinobacteraceae;g__;s__ +821468 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__;g__;s__ +821608 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Kaistobacter;s__ +821690 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Burkholderiaceae;g__Burkholderia;s__andropogonis +821705 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Caulobacterales;f__Caulobacteraceae;g__;s__ +821764 k__Bacteria;p__Acidobacteria;c__DA052;o__Ellin6513;f__;g__;s__ +821790 k__Bacteria;p__Nitrospirae;c__Nitrospira;o__Nitrospirales;f__0319-6A21;g__;s__ +822006 k__Bacteria;p__Planctomycetes;c__Phycisphaerae;o__WD2101;f__;g__;s__ +822219 k__Bacteria;p__Gemmatimonadetes;c__Gemm-1;o__;f__;g__;s__ +822282 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__11-24;f__;g__;s__ +822305 k__Bacteria;p__Bacteroidetes;c__Bacteroidia;o__Bacteroidales;f__;g__;s__ +822309 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__;s__ +822337 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Oxalobacteraceae;g__Janthinobacterium;s__lividum +822362 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__PK29;f__;g__;s__ +822381 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Nocardioidaceae;g__Aeromicrobium;s__ +822489 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__;s__ +82263 k__Bacteria;p__Verrucomicrobia;c__[Pedosphaerae];o__[Pedosphaerales];f__;g__;s__ +822776 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Oxalobacteraceae;g__Massilia;s__aerolata +822806 k__Bacteria;p__Chloroflexi;c__Anaerolineae;o__SBR1031;f__A4b;g__;s__ +822821 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +822913 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__;s__ +822988 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Syntrophobacterales;f__Syntrophobacteraceae;g__;s__ +823004 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__;g__;s__ +823116 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__;g__;s__ +823202 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Sphingomonas;s__ +823246 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodobacterales;f__Hyphomonadaceae;g__;s__ +823479 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Oxalobacteraceae;g__Janthinobacterium;s__ +823633 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Mycobacteriaceae;g__Mycobacterium;s__ +823816 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Pseudonocardiaceae;g__;s__ +823826 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +823862 k__Bacteria;p__TM7;c__TM7-1;o__;f__;g__;s__ +823909 k__Bacteria;p__Spirochaetes;c__Spirochaetes;o__Spirochaetales;f__Spirochaetaceae;g__;s__ +823916 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Pseudomonadales;f__Moraxellaceae;g__Enhydrobacter;s__ +823991 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Chromatiales;f__;g__;s__ +824080 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__CCU21;f__;g__;s__ +824146 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Kaistobacter;s__ +824399 k__Bacteria;p__Nitrospirae;c__Nitrospira;o__Nitrospirales;f__0319-6A21;g__;s__ +824446 k__Bacteria;p__Nitrospirae;c__Nitrospira;o__Nitrospirales;f__[Thermodesulfovibrionaceae];g__GOUTA19;s__ +824674 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Syntrophobacterales;f__Syntrophobacteraceae;g__;s__ +824704 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +824723 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Micrococcaceae;g__Arthrobacter;s__nitroguajacolicus +824801 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Solirubrobacterales;f__;g__;s__ +824826 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__;f__;g__;s__ +824982 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__;s__ +825103 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__;f__;g__;s__ +825112 k__Bacteria;p__Actinobacteria;c__Acidimicrobiia;o__Acidimicrobiales;f__C111;g__;s__ +825474 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Nocardioidaceae;g__;s__ +825502 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Nocardiaceae;g__;s__ +82558 k__Bacteria;p__Chloroflexi;c__Anaerolineae;o__H39;f__;g__;s__ +825595 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__;g__;s__ +825612 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Methylocystaceae;g__;s__ +825653 k__Bacteria;p__Chlorobi;c__SJA-28;o__;f__;g__;s__ +825937 k__Bacteria;p__Actinobacteria;c__Rubrobacteria;o__Rubrobacterales;f__Rubrobacteraceae;g__Rubrobacter;s__ +826124 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Caulobacterales;f__Caulobacteraceae;g__Phenylobacterium;s__ +826250 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__ +826398 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__MIZ46;f__;g__;s__ +826512 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Nocardioidaceae;g__;s__ +826597 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Kineosporiaceae;g__Kineosporia;s__ +826666 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Rhizobiaceae;g__Rhizobium;s__leguminosarum +826749 k__Bacteria;p__Firmicutes;c__Clostridia;o__Clostridiales;f__Ruminococcaceae;g__Clostridium;s__hungatei +826884 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Geodermatophilaceae;g__Geodermatophilus;s__ +826904 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__;g__;s__ +827051 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__Sediminibacterium;s__ +827181 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__MIZ46;f__;g__;s__ +827219 k__Bacteria;p__TM7;c__TM7-1;o__;f__;g__;s__ +827343 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Acetobacteraceae;g__;s__ +827453 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Acidobacteriaceae;g__;s__ +827636 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Bradyrhizobiaceae;g__;s__ +827761 k__Bacteria;p__Armatimonadetes;c__Armatimonadia;o__FW68;f__;g__;s__ +827771 k__Bacteria;p__Cyanobacteria;c__4C0d-2;o__;f__;g__;s__ +828127 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__NB1-j;f__NB1-i;g__;s__ +828443 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Caulobacterales;f__Caulobacteraceae;g__Mycoplana;s__ +828722 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__MIZ46;f__;g__;s__ +828826 k__Bacteria;p__Chloroflexi;c__Chloroflexi;o__AKIW781;f__;g__;s__ +828844 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Microbacteriaceae;g__;s__ +829012 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Pseudonocardiaceae;g__Pseudonocardia;s__ +829343 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ +829373 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Pseudonocardiaceae;g__Pseudonocardia;s__ +829415 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Bradyrhizobiaceae;g__Bradyrhizobium;s__ +830015 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__[Entotheonellales];f__[Entotheonellaceae];g__;s__ +830173 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Alicyclobacillaceae;g__Alicyclobacillus;s__ +830254 k__Bacteria;p__Gemmatimonadetes;c__Gemmatimonadetes;o__;f__;g__;s__ +830392 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Legionellales;f__Coxiellaceae;g__;s__ +830397 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__ +830696 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Vibrionales;f__Pseudoalteromonadaceae;g__Pseudoalteromonas;s__ +830922 k__Bacteria;p__Actinobacteria;c__Rubrobacteria;o__Rubrobacterales;f__Rubrobacteraceae;g__Rubrobacter;s__ +831289 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Caulobacterales;f__;g__;s__ +831328 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Oxalobacteraceae;g__;s__ +831377 k__Bacteria;p__Actinobacteria;c__Acidimicrobiia;o__Acidimicrobiales;f__;g__;s__ +831386 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Syntrophobacterales;f__Syntrophobacteraceae;g__;s__ +831407 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__;s__ +831446 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rickettsiales;f__;g__;s__ +831474 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__[Entotheonellales];f__[Entotheonellaceae];g__;s__ +831520 k__Bacteria;p__Actinobacteria;c__Rubrobacteria;o__Rubrobacterales;f__Rubrobacteraceae;g__Rubrobacter;s__ +831573 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__;g__;s__ +831809 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Pedomicrobium;s__ +831824 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Acetobacteraceae;g__;s__ +832113 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__;s__ +832399 k__Bacteria;p__TM7;c__TM7-3;o__EW055;f__;g__;s__ +832540 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +832598 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Burkholderiaceae;g__;s__ +832899 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Nocardioidaceae;g__;s__ +833140 k__Bacteria;p__Chloroflexi;c__Anaerolineae;o__envOPS12;f__;g__;s__ +833206 k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__Hymenobacter;s__ +833737 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__;f__;g__;s__ +833878 k__Bacteria;p__Gemmatimonadetes;c__Gemm-1;o__;f__;g__;s__ +833957 k__Bacteria;p__Chloroflexi;c__Ellin6529;o__;f__;g__;s__ +834020 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Devosia;s__ +834135 k__Bacteria;p__Bacteroidetes;c__Sphingobacteriia;o__Sphingobacteriales;f__;g__;s__ +834178 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__MIZ46;f__;g__;s__ +834418 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Sinobacteraceae;g__;s__ +834463 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Burkholderiaceae;g__Burkholderia;s__ +834465 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Bradyrhizobiaceae;g__Balneimonas;s__ +83488 k__Bacteria;p__Bacteroidetes;c__Flavobacteriia;o__Flavobacteriales;f__Flavobacteriaceae;g__Flavobacterium;s__ +834883 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Propionibacteriaceae;g__;s__ +835089 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__Haliangiaceae;g__;s__ +835236 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__;f__;g__;s__ +83531 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ +835357 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Pseudomonadales;f__Pseudomonadaceae;g__Pseudomonas;s__mendocina +835504 k__Bacteria;p__TM7;c__TM7-3;o__;f__;g__;s__ +835579 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Micrococcales;f__;g__;s__ +835594 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Bradyrhizobiaceae;g__Balneimonas;s__ +835964 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Pseudomonadales;f__Moraxellaceae;g__Acinetobacter;s__ +836094 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__firmus +836262 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +836320 k__Bacteria;p__TM7;c__TM7-1;o__;f__;g__;s__ +836331 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__;s__ +83643 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodobacterales;f__Rhodobacteraceae;g__;s__ +836732 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__;g__;s__ +837069 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Streptomycetaceae;g__Streptomyces;s__ +837092 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Solirubrobacterales;f__Solirubrobacteraceae;g__;s__ +837177 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Burkholderiaceae;g__Burkholderia;s__ +837353 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__;f__;g__;s__ +837467 k__Bacteria;p__Acidobacteria;c__iii1-8;o__32-20;f__;g__;s__ +837482 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Acetobacteraceae;g__;s__ +837700 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Xanthomonadaceae;g__;s__ +837704 k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__[Amoebophilaceae];g__Candidatus Amoebophilus;s__ +837878 k__Bacteria;p__Chloroflexi;c__S085;o__;f__;g__;s__ +837947 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Sinobacteraceae;g__;s__ +838154 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__;s__ +838180 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodobacterales;f__Hyphomonadaceae;g__;s__ +838293 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__;s__ +838313 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__;g__;s__ +838401 k__Bacteria;p__Firmicutes;c__Clostridia;o__Clostridiales;f__Clostridiaceae;g__Clostridium;s__ +838527 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +838629 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Oxalobacteraceae;g__;s__ +838871 k__Bacteria;p__Bacteroidetes;c__Flavobacteriia;o__Flavobacteriales;f__Flavobacteriaceae;g__Flavobacterium;s__ +839128 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Acidobacteriaceae;g__;s__ +839217 k__Bacteria;p__Actinobacteria;c__Acidimicrobiia;o__Acidimicrobiales;f__AKIW874;g__;s__ +840604 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Methylocystaceae;g__Methylosinus;s__ +841943 k__Bacteria;p__Bacteroidetes;c__Bacteroidia;o__Bacteroidales;f__Porphyromonadaceae;g__Paludibacter;s__ +841979 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Acetobacteraceae;g__;s__ +842284 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Xanthomonadaceae;g__Dyella;s__ +84239 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__RB40;g__;s__ +84268 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Nocardiaceae;g__Nocardia;s__ +843189 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ +843764 k__Bacteria;p__Bacteroidetes;c__Sphingobacteriia;o__Sphingobacteriales;f__Sphingobacteriaceae;g__;s__ +843920 k__Bacteria;p__Bacteroidetes;c__Sphingobacteriia;o__Sphingobacteriales;f__Sphingobacteriaceae;g__;s__ +845167 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Beijerinckiaceae;g__;s__ +845780 k__Bacteria;p__Bacteroidetes;c__Sphingobacteriia;o__Sphingobacteriales;f__Sphingobacteriaceae;g__;s__ +845845 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__Diaphorobacter;s__ +84602 k__Bacteria;p__Bacteroidetes;c__Flavobacteriia;o__Flavobacteriales;f__Flavobacteriaceae;g__Flavobacterium;s__ +846616 k__Bacteria;p__Planctomycetes;c__Phycisphaerae;o__Phycisphaerales;f__;g__;s__ +846667 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Acidobacteriaceae;g__Acidicapsa;s__borealis +848259 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__;s__ +848392 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +848412 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__;s__ +848824 k__Bacteria;p__Bacteroidetes;c__Sphingobacteriia;o__Sphingobacteriales;f__Sphingobacteriaceae;g__;s__ +848909 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ +849092 k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__;s__ +849118 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Devosia;s__ +849761 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Sphingobium;s__ +84980 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__Polaromonas;s__ +849821 k__Bacteria;p__Chloroflexi;c__Ellin6529;o__;f__;g__;s__ +849863 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Kaistobacter;s__ +850214 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Legionellales;f__Coxiellaceae;g__;s__ +850540 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Rhodocyclales;f__Rhodocyclaceae;g__Dechloromonas;s__ +850823 k__Bacteria;p__Acidobacteria;c__DA052;o__Ellin6513;f__;g__;s__ +85142 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__;f__;g__;s__ +851932 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Neisseriales;f__Neisseriaceae;g__Kingella;s__denitrificans +852205 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ +852220 k__Bacteria;p__Proteobacteria;c__TA18;o__PHOS-HD29;f__;g__;s__ +852722 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Spirobacillales;f__;g__;s__ +853114 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +853854 k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__;s__ +854839 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__;f__;g__;s__ +855333 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Caulobacterales;f__Caulobacteraceae;g__Phenylobacterium;s__ +855839 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__;g__;s__ +855860 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Gaiellales;f__Gaiellaceae;g__;s__ +855996 k__Bacteria;p__Gemmatimonadetes;c__Gemmatimonadetes;o__N1423WL;f__;g__;s__ +856940 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Gaiellales;f__Gaiellaceae;g__;s__ +857113 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Acidobacteriaceae;g__;s__ +857566 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Solirubrobacterales;f__Patulibacteraceae;g__;s__ +857732 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__;f__;g__;s__ +857992 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ +85863 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Pseudonocardiaceae;g__Pseudonocardia;s__ +858813 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__RB40;g__;s__ +859313 k__Bacteria;p__Actinobacteria;c__Acidimicrobiia;o__Acidimicrobiales;f__C111;g__;s__ +861160 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Methylobacteriaceae;g__Methylobacterium;s__ +862361 k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__Hymenobacter;s__ +862621 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +862901 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__;g__;s__ +863742 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Nocardioidaceae;g__Nocardioides;s__ +86386 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__;f__;g__;s__ +864395 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Solirubrobacterales;f__Conexibacteraceae;g__;s__ +864640 k__Bacteria;p__Firmicutes;c__Bacilli;o__Lactobacillales;f__Carnobacteriaceae;g__Granulicatella;s__ +865520 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +866187 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Spirobacillales;f__;g__;s__ +866365 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Caulobacterales;f__Caulobacteraceae;g__Caulobacter;s__ +866836 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +86817 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__Ellin6075;g__;s__ +868209 k__Bacteria;p__Actinobacteria;c__Acidimicrobiia;o__Acidimicrobiales;f__;g__;s__ +869089 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Sporichthyaceae;g__;s__ +869358 k__Bacteria;p__Bacteroidetes;c__Sphingobacteriia;o__Sphingobacteriales;f__;g__;s__ +869471 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__;s__ +869526 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Rhodocyclales;f__Rhodocyclaceae;g__Dechloromonas;s__ +870009 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Gaiellales;f__;g__;s__ +870047 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Alteromonadales;f__OM60;g__;s__ +870223 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Nakamurellaceae;g__;s__ +870470 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__;g__;s__ +87098 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Microbacteriaceae;g__Agromyces;s__ +871009 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__FAC87;f__;g__;s__ +871498 k__Bacteria;p__Planctomycetes;c__Phycisphaerae;o__Phycisphaerales;f__;g__;s__ +871956 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Xanthomonadaceae;g__;s__ +872889 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Gaiellales;f__;g__;s__ +873747 k__Bacteria;p__Bacteroidetes;c__Flavobacteriia;o__Flavobacteriales;f__Flavobacteriaceae;g__Flavobacterium;s__ +873887 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Solirubrobacterales;f__Solirubrobacteraceae;g__;s__ +874726 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Micromonosporaceae;g__;s__ +87473 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Rhizobiaceae;g__Agrobacterium;s__ +875704 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +876066 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Solirubrobacterales;f__;g__;s__ +876085 k__Bacteria;p__TM6;c__SJA-4;o__;f__;g__;s__ +876170 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Microbacteriaceae;g__Salinibacterium;s__ +877265 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +877742 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Bradyrhizobiaceae;g__;s__ +877844 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Acidobacteriaceae;g__;s__ +878161 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Acidobacteriaceae;g__Terriglobus;s__ +878663 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__;s__ +878714 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +878765 k__Bacteria;p__Bacteroidetes;c__Sphingobacteriia;o__Sphingobacteriales;f__Sphingobacteriaceae;g__Pedobacter;s__ +879040 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Kaistobacter;s__ +882023 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Mycobacteriaceae;g__Mycobacterium;s__ +88221 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Paenibacillaceae;g__Paenibacillus;s__ +882272 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Microbacteriaceae;g__Microbacterium;s__ +882616 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Acetobacteraceae;g__;s__ +88269 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +883057 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Cellulomonadaceae;g__Demequina;s__ +88335 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Solirubrobacterales;f__;g__;s__ +88338 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Pseudonocardiaceae;g__Pseudonocardia;s__ +883437 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__;f__;g__;s__ +883548 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Sinobacteraceae;g__;s__ +88360 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Gaiellales;f__Gaiellaceae;g__;s__ +883641 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Nocardioidaceae;g__;s__ +883987 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Sphingomonas;s__wittichii +884238 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__mb2424;g__;s__ +884655 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Sphingomonas;s__wittichii +885012 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Nocardioidaceae;g__Friedmanniella;s__ +885496 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Intrasporangiaceae;g__;s__ +885618 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +887484 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +88754 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Acetobacteraceae;g__;s__ +888460 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__;g__;s__ +888623 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__Flavisolibacter;s__ +88872 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Sphingomonas;s__ +888880 k__Bacteria;p__Actinobacteria;c__Acidimicrobiia;o__Acidimicrobiales;f__;g__;s__ +888891 k__Bacteria;p__[Thermi];c__Deinococci;o__Deinococcales;f__Deinococcaceae;g__Deinococcus;s__ +889549 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +890073 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Bradyrhizobiaceae;g__Balneimonas;s__ +890516 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Frankiaceae;g__;s__ +890805 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Devosia;s__ +891005 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +891423 k__Bacteria;p__Bacteroidetes;c__Bacteroidia;o__Bacteroidales;f__;g__;s__ +89144 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +89159 k__Bacteria;p__TM7;c__TM7-1;o__;f__;g__;s__ +891664 k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__;s__ +892000 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +892370 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +892591 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Bdellovibrionales;f__Bdellovibrionaceae;g__Bdellovibrio;s__ +893232 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__;g__;s__ +893238 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__;g__;s__ +893395 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__;s__ +894024 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__Flavisolibacter;s__ +894047 k__Bacteria;p__Actinobacteria;c__Acidimicrobiia;o__Acidimicrobiales;f__C111;g__;s__ +89514 k__Bacteria;p__Acidobacteria;c__S035;o__;f__;g__;s__ +896276 k__Bacteria;p__Bacteroidetes;c__Sphingobacteriia;o__Sphingobacteriales;f__Sphingobacteriaceae;g__Pedobacter;s__ +896552 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__;g__;s__ +89699 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__;g__;s__ +89702 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Legionellales;f__Legionellaceae;g__Tatlockia;s__ +897527 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Nitrosomonadales;f__Nitrosomonadaceae;g__;s__ +899404 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__;g__;s__ +899559 k__Bacteria;p__TM7;c__TM7-3;o__EW055;f__;g__;s__ +900949 k__Bacteria;p__TM6;c__SJA-4;o__;f__;g__;s__ +901585 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Nocardioidaceae;g__Nocardioides;s__ +901613 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Enterobacteriales;f__Enterobacteriaceae;g__Serratia;s__marcescens +901995 k__Bacteria;p__Bacteroidetes;c__Sphingobacteriia;o__Sphingobacteriales;f__;g__;s__ +902174 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Rhizobiaceae;g__Agrobacterium;s__ +902334 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Mycobacteriaceae;g__Mycobacterium;s__ +902489 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__BD7-3;f__;g__;s__ +902698 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Nocardioidaceae;g__;s__ +903377 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +90390 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Alteromonadales;f__Alteromonadaceae;g__Cellvibrio;s__ +904212 k__Bacteria;p__Actinobacteria;c__Acidimicrobiia;o__Acidimicrobiales;f__C111;g__;s__ +904452 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Staphylococcaceae;g__;s__ +904568 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Acetobacteraceae;g__;s__ +904631 k__Bacteria;p__Actinobacteria;c__Acidimicrobiia;o__Acidimicrobiales;f__;g__;s__ +905076 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__;g__;s__ +90543 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__Limnohabitans;s__ +905618 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Nocardioidaceae;g__Nocardioides;s__ +905629 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Micromonosporaceae;g__;s__ +90580 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__;g__;s__ +906595 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Legionellales;f__Legionellaceae;g__;s__ +906820 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__Skermanella;s__ +906905 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Sphingomonas;s__ +90701 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Mycobacteriaceae;g__Mycobacterium;s__ +907246 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Frankiaceae;g__;s__ +90764 k__Bacteria;p__Acidobacteria;c__Sva0725;o__Sva0725;f__;g__;s__ +907743 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Acetobacteraceae;g__;s__ +908868 k__Bacteria;p__Verrucomicrobia;c__Verrucomicrobiae;o__Verrucomicrobiales;f__Verrucomicrobiaceae;g__;s__ +908948 k__Bacteria;p__Firmicutes;c__Clostridia;o__Clostridiales;f__Peptococcaceae;g__Desulfosporosinus;s__ +909520 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__Myxococcaceae;g__Anaeromyxobacter;s__ +910933 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Nocardiaceae;g__Rhodococcus;s__ +911129 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Spirobacillales;f__;g__;s__ +911808 k__Bacteria;p__Firmicutes;c__Bacilli;o__Lactobacillales;f__Streptococcaceae;g__Streptococcus;s__ +911947 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Streptomycetaceae;g__Streptomyces;s__ +912184 k__Bacteria;p__Bacteroidetes;c__Flavobacteriia;o__Flavobacteriales;f__Flavobacteriaceae;g__Flavobacterium;s__ +912263 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +912372 k__Bacteria;p__Gemmatimonadetes;c__Gemmatimonadetes;o__Ellin5290;f__;g__;s__ +912669 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +91332 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__;s__ +913706 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Acetobacteraceae;g__;s__ +913997 k__Bacteria;p__TM6;c__SJA-4;o__;f__;g__;s__ +91512 k__Bacteria;p__TM7;c__TM7-1;o__;f__;g__;s__ +915240 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Kineosporiaceae;g__;s__ +915265 k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__Dyadobacter;s__ +91557 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Enterobacteriales;f__Enterobacteriaceae;g__;s__ +915631 k__Bacteria;p__Verrucomicrobia;c__[Pedosphaerae];o__[Pedosphaerales];f__;g__;s__ +915958 k__Bacteria;p__Planctomycetes;c__Phycisphaerae;o__WD2101;f__;g__;s__ +916108 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Planococcaceae;g__;s__ +916361 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Sphingobium;s__ +916529 k__Bacteria;p__Bacteroidetes;c__Flavobacteriia;o__Flavobacteriales;f__Flavobacteriaceae;g__Flavobacterium;s__ +917092 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Solirubrobacterales;f__Patulibacteraceae;g__;s__ +917124 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +917532 k__Bacteria;p__Firmicutes;c__Clostridia;o__Clostridiales;f__Clostridiaceae;g__Caloramator;s__ +917739 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Rhodobiaceae;g__Afifella;s__ +917888 k__Bacteria;p__Bacteroidetes;c__Sphingobacteriia;o__Sphingobacteriales;f__Sphingobacteriaceae;g__;s__ +918237 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Legionellales;f__;g__;s__ +918613 k__Bacteria;p__Actinobacteria;c__MB-A2-108;o__0319-7L14;f__;g__;s__ +918664 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__;g__;s__ +919487 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Nocardioidaceae;g__;s__ +919835 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__Segetibacter;s__ +920506 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Thermoactinomycetaceae;g__Shimazuella;s__ +920852 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Streptomycetaceae;g__Streptomyces;s__mirabilis +921687 k__Bacteria;p__Bacteroidetes;c__Flavobacteriia;o__Flavobacteriales;f__Flavobacteriaceae;g__;s__ +922149 k__Bacteria;p__Actinobacteria;c__Acidimicrobiia;o__Acidimicrobiales;f__;g__;s__ +922261 k__Bacteria;p__Bacteroidetes;c__Flavobacteriia;o__Flavobacteriales;f__Flavobacteriaceae;g__Flavobacterium;s__ +923114 k__Bacteria;p__Bacteroidetes;c__Flavobacteriia;o__Flavobacteriales;f__[Weeksellaceae];g__Chryseobacterium;s__ +92333 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__Variovorax;s__paradoxus +923972 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Nocardioidaceae;g__Friedmanniella;s__ +925027 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Gaiellales;f__Gaiellaceae;g__;s__ +925200 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Solirubrobacterales;f__Conexibacteraceae;g__;s__ +925247 k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__;s__ +925695 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Nocardioidaceae;g__;s__ +92573 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Bradyrhizobiaceae;g__;s__ +926122 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Beijerinckiaceae;g__;s__ +926160 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Methylobacteriaceae;g__Methylobacterium;s__ +926312 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__;f__;g__;s__ +927367 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Solirubrobacterales;f__;g__;s__ +927380 k__Bacteria;p__Planctomycetes;c__Phycisphaerae;o__WD2101;f__;g__;s__ +927623 k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__Hymenobacter;s__ +927720 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__ +927859 k__Bacteria;p__Armatimonadetes;c__Armatimonadia;o__Armatimonadales;f__Armatimonadaceae;g__;s__ +92874 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Actinomycetaceae;g__Actinomyces;s__ +928766 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +928889 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__;g__;s__ +929111 k__Bacteria;p__Bacteroidetes;c__Sphingobacteriia;o__Sphingobacteriales;f__Sphingobacteriaceae;g__;s__ +929398 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +929699 k__Bacteria;p__Verrucomicrobia;c__[Spartobacteria];o__[Chthoniobacterales];f__[Chthoniobacteraceae];g__DA101;s__ +930055 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Sinobacteraceae;g__;s__ +931593 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Micromonosporaceae;g__Pilimelia;s__ +931708 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Alteromonadales;f__211ds20;g__;s__ +932848 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Nitrosomonadales;f__Nitrosomonadaceae;g__;s__ +933150 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__Segetibacter;s__ +93360 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Micromonosporaceae;g__;s__ +934158 k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Acidobacteriaceae;g__;s__ +93464 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__MND1;f__;g__;s__ +935268 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +936318 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Gaiellales;f__Gaiellaceae;g__;s__ +936914 k__Bacteria;p__Planctomycetes;c__vadinHA49;o__DH61;f__;g__;s__ +93694 k__Bacteria;p__Acidobacteria;c__DA052;o__Ellin6513;f__;g__;s__ +93707 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Thiotrichales;f__Piscirickettsiaceae;g__;s__ +937543 k__Bacteria;p__Gemmatimonadetes;c__Gemmatimonadetes;o__Ellin5290;f__;g__;s__ +937735 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__;g__;s__ +937954 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +93798 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +938039 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +938496 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Xanthomonadaceae;g__Dokdonella;s__ +938557 k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__Spirosoma;s__ +938901 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Gaiellales;f__Gaiellaceae;g__;s__ +939101 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +939418 k__Bacteria;p__Armatimonadetes;c__[Fimbriimonadia];o__[Fimbriimonadales];f__[Fimbriimonadaceae];g__Fimbriimonas;s__ +939546 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Geodermatophilaceae;g__Geodermatophilus;s__ +940161 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Solirubrobacterales;f__;g__;s__ +940348 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Solirubrobacterales;f__Patulibacteraceae;g__;s__ +940630 k__Bacteria;p__Planctomycetes;c__Planctomycetia;o__Gemmatales;f__Isosphaeraceae;g__;s__ +940666 k__Bacteria;p__TM7;c__TM7-1;o__;f__;g__;s__ +940828 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Micromonosporaceae;g__;s__ +941237 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Sphingomonas;s__ +94128 k__Bacteria;p__Actinobacteria;c__Acidimicrobiia;o__Acidimicrobiales;f__;g__;s__ +941487 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Oxalobacteraceae;g__;s__ +941498 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Xanthomonadaceae;g__;s__ +941803 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Novosphingobium;s__ +94268 k__Bacteria;p__WS3;c__PRR-12;o__Sediment-1;f__PRR-10;g__;s__ +943138 k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__;s__ +943600 k__Bacteria;p__Bacteroidetes;c__Flavobacteriia;o__Flavobacteriales;f__Flavobacteriaceae;g__Flavobacterium;s__ +944197 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Oxalobacteraceae;g__Herminiimonas;s__ +944401 k__Bacteria;p__Bacteroidetes;c__Sphingobacteriia;o__Sphingobacteriales;f__Sphingobacteriaceae;g__Pedobacter;s__cryoconitis +944435 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__Haliangiaceae;g__;s__ +94511 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__;f__;g__;s__ +945733 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +945905 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Alicyclobacillaceae;g__Alicyclobacillus;s__ +946179 k__Bacteria;p__Actinobacteria;c__MB-A2-108;o__0319-7L14;f__;g__;s__ +946250 k__Bacteria;p__Verrucomicrobia;c__[Spartobacteria];o__[Chthoniobacterales];f__[Chthoniobacteraceae];g__DA101;s__ +946344 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Solirubrobacterales;f__Solirubrobacteraceae;g__;s__ +946860 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Solirubrobacterales;f__;g__;s__ +946945 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Mycobacteriaceae;g__Mycobacterium;s__ +947308 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Xanthomonadaceae;g__Thermomonas;s__ +947354 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Pseudonocardiaceae;g__Pseudonocardia;s__ +947475 k__Bacteria;p__Actinobacteria;c__Acidimicrobiia;o__Acidimicrobiales;f__;g__;s__ +947627 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__MIZ46;f__;g__;s__ +947762 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Paenibacillaceae;g__Paenibacillus;s__ +948180 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Microbacteriaceae;g__;s__ +949988 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__;g__;s__ +950120 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__Haliangiaceae;g__;s__ +950668 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__;g__;s__ +950724 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +951184 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Sinobacteraceae;g__;s__ +951659 k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__Dyadobacter;s__ +952130 k__Bacteria;p__Verrucomicrobia;c__[Spartobacteria];o__[Chthoniobacterales];f__[Chthoniobacteraceae];g__;s__ +952529 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__;g__;s__ +952794 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Legionellales;f__Legionellaceae;g__;s__ +95300 k__Bacteria;p__Firmicutes;c__Clostridia;o__Clostridiales;f__Clostridiaceae;g__Clostridium;s__ +954992 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__Flavisolibacter;s__ +955539 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__Segetibacter;s__ +955577 k__Bacteria;p__Actinobacteria;c__Acidimicrobiia;o__Acidimicrobiales;f__;g__;s__ +955671 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__Ellin6075;g__;s__ +955932 k__Bacteria;p__Bacteroidetes;c__Bacteroidia;o__Bacteroidales;f__;g__;s__ +95608 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Pseudomonadales;f__Pseudomonadaceae;g__Pseudomonas;s__ +956988 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Desulfuromonadales;f__Geobacteraceae;g__Geobacter;s__ +957330 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +957360 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Gaiellales;f__Gaiellaceae;g__;s__ +957362 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Solirubrobacterales;f__;g__;s__ +957408 k__Bacteria;p__Gemmatimonadetes;c__Gemmatimonadetes;o__Gemmatimonadales;f__Gemmatimonadaceae;g__Gemmatimonas;s__ +957505 k__Bacteria;p__Verrucomicrobia;c__[Pedosphaerae];o__[Pedosphaerales];f__Ellin515;g__;s__ +958571 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__Flavisolibacter;s__ +959160 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Microbacteriaceae;g__Mycetocola;s__ +959372 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Syntrophobacterales;f__Syntrophobacteraceae;g__;s__ +959590 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Devosia;s__ +960217 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Solirubrobacterales;f__;g__;s__ +962166 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Devosia;s__ +962380 k__Bacteria;p__Bacteroidetes;c__Sphingobacteriia;o__Sphingobacteriales;f__Sphingobacteriaceae;g__Pedobacter;s__ +962476 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Novosphingobium;s__ +962630 k__Bacteria;p__Planctomycetes;c__Planctomycetia;o__Gemmatales;f__Isosphaeraceae;g__;s__ +962736 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__HTCC2188;f__HTCC2089;g__;s__ +962817 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Gaiellales;f__;g__;s__ +963132 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +963216 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Pasteurellales;f__Pasteurellaceae;g__Aggregatibacter;s__ +963825 k__Bacteria;p__Bacteroidetes;c__Flavobacteriia;o__Flavobacteriales;f__Flavobacteriaceae;g__Flavobacterium;s__ +964300 k__Bacteria;p__Planctomycetes;c__Phycisphaerae;o__WD2101;f__;g__;s__ +964559 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ +96459 k__Bacteria;p__Firmicutes;c__Clostridia;o__Clostridiales;f__Lachnospiraceae;g__;s__ +964611 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Microbacteriaceae;g__;s__ +964753 k__Bacteria;p__Bacteroidetes;c__Sphingobacteriia;o__Sphingobacteriales;f__Sphingobacteriaceae;g__Pedobacter;s__ +964801 k__Bacteria;p__Gemmatimonadetes;c__Gemmatimonadetes;o__Ellin5290;f__;g__;s__ +965129 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__;s__ +965370 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Mycobacteriaceae;g__Mycobacterium;s__ +965853 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Solirubrobacterales;f__;g__;s__ +966091 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Geodermatophilaceae;g__Modestobacter;s__ +966113 k__Bacteria;p__Actinobacteria;c__Acidimicrobiia;o__Acidimicrobiales;f__;g__;s__ +966576 k__Bacteria;p__Bacteroidetes;c__Sphingobacteriia;o__Sphingobacteriales;f__;g__;s__ +967720 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Oxalobacteraceae;g__;s__ +968043 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Kaistobacter;s__ +968085 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Solirubrobacterales;f__;g__;s__ +968261 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Solirubrobacterales;f__;g__;s__ +968336 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Alicyclobacillaceae;g__Alicyclobacillus;s__ +968346 k__Bacteria;p__Acidobacteria;c__Acidobacteria-6;o__iii1-15;f__mb2424;g__;s__ +968555 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Pseudonocardiaceae;g__Pseudonocardia;s__ +970028 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Oxalobacteraceae;g__;s__ +970359 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__;s__ +971270 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Nocardioidaceae;g__;s__ +97163 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Oxalobacteraceae;g__Janthinobacterium;s__ +972341 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Oxalobacteraceae;g__;s__ +972342 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Nocardioidaceae;g__Nocardioides;s__ +972343 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Nakamurellaceae;g__;s__ +973124 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +973424 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Nocardioidaceae;g__Nocardioides;s__ +974116 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Legionellales;f__Legionellaceae;g__Legionella;s__ +974281 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Nocardioidaceae;g__;s__ +976441 k__Bacteria;p__Bacteroidetes;c__Sphingobacteriia;o__Sphingobacteriales;f__Sphingobacteriaceae;g__Pedobacter;s__ +977026 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Micromonosporaceae;g__Catellatospora;s__ +977203 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rickettsiales;f__;g__;s__ +978664 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Mycobacteriaceae;g__Mycobacterium;s__ +978693 k__Bacteria;p__Acidobacteria;c__[Chloracidobacteria];o__RB41;f__Ellin6075;g__;s__ +978958 k__Bacteria;p__Verrucomicrobia;c__[Pedosphaerae];o__[Pedosphaerales];f__Ellin517;g__;s__ +979344 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Methylobacteriaceae;g__Methylobacterium;s__ +979536 k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__;s__ +979598 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__SC-I-84;f__;g__;s__ +980525 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Solirubrobacterales;f__;g__;s__ +98073 k__Bacteria;p__TM7;c__TM7-3;o__Blgi18;f__;g__;s__ +982540 k__Bacteria;p__Bacteroidetes;c__Sphingobacteriia;o__Sphingobacteriales;f__Sphingobacteriaceae;g__;s__ +98258 k__Bacteria;p__Cyanobacteria;c__4C0d-2;o__MLE1-12;f__;g__;s__ +983307 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +983990 k__Bacteria;p__Bacteroidetes;c__Sphingobacteriia;o__Sphingobacteriales;f__Sphingobacteriaceae;g__Pedobacter;s__ +984175 k__Bacteria;p__Actinobacteria;c__Acidimicrobiia;o__Acidimicrobiales;f__;g__;s__ +98457 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ +984895 k__Bacteria;p__Gemmatimonadetes;c__Gemmatimonadetes;o__Gemmatimonadales;f__Ellin5301;g__;s__ +985056 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Procabacteriales;f__Procabacteriaceae;g__;s__ +985216 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Rhodobiaceae;g__;s__ +986752 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhodospirillales;f__Rhodospirillaceae;g__;s__ +987574 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Paenibacillaceae;g__Paenibacillus;s__ +987863 k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__Hymenobacter;s__ +987899 k__Bacteria;p__Actinobacteria;c__Acidimicrobiia;o__Acidimicrobiales;f__;g__;s__ +987934 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Devosia;s__ +989109 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Kaistobacter;s__ +98911 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Burkholderiaceae;g__;s__ +989456 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__SC-I-84;f__;g__;s__ +99073 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Xanthobacteraceae;g__Labrys;s__ +990901 k__Bacteria;p__Planctomycetes;c__Phycisphaerae;o__Phycisphaerales;f__;g__;s__ +99158 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__;g__;s__ +992170 k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__;s__ +992405 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__;g__;s__ +992428 k__Bacteria;p__Verrucomicrobia;c__[Pedosphaerae];o__[Pedosphaerales];f__Ellin517;g__;s__ +992871 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Micromonosporaceae;g__Actinoplanes;s__ +99326 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Sphingomonas;s__ +993373 k__Bacteria;p__Proteobacteria;c__Deltaproteobacteria;o__Myxococcales;f__;g__;s__ +993474 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Pseudonocardiaceae;g__Pseudonocardia;s__ +993705 k__Bacteria;p__Firmicutes;c__Bacilli;o__Lactobacillales;f__Streptococcaceae;g__Streptococcus;s__ +99371 k__Bacteria;p__Chloroflexi;c__TK10;o__B07_WMSP1;f__;g__;s__ +993841 k__Bacteria;p__Actinobacteria;c__Acidimicrobiia;o__Acidimicrobiales;f__EB1017;g__;s__ +99390 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Legionellales;f__Coxiellaceae;g__;s__ +994823 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Solirubrobacterales;f__Patulibacteraceae;g__;s__ +994858 k__Bacteria;p__Bacteroidetes;c__Cytophagia;o__Cytophagales;f__Cytophagaceae;g__;s__ +99508 k__Bacteria;p__Firmicutes;c__Bacilli;o__Turicibacterales;f__Turicibacteraceae;g__Turicibacter;s__ +99539 k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Novosphingobium;s__ +995583 k__Bacteria;p__Bacteroidetes;c__Sphingobacteriia;o__Sphingobacteriales;f__;g__;s__ +996068 k__Bacteria;p__Cyanobacteria;c__4C0d-2;o__YS2;f__;g__;s__ +996116 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Nocardioidaceae;g__;s__ +99630 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Streptomycetaceae;g__Streptacidiphilus;s__ +996483 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ +997544 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__Flavisolibacter;s__ +999784 k__Bacteria;p__Actinobacteria;c__Thermoleophilia;o__Gaiellales;f__Gaiellaceae;g__;s__ +99987 k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Nocardioidaceae;g__;s__ +999870 k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Legionellales;f__Coxiellaceae;g__Aquicella;s__ +999876 k__Bacteria;p__Bacteroidetes;c__[Saprospirae];o__[Saprospirales];f__Chitinophagaceae;g__;s__ diff --git a/data_application/88soils/boot/soils_ph_boot_compLasso.RData b/data_application/88soils/boot/soils_ph_boot_compLasso.RData new file mode 100644 index 0000000000000000000000000000000000000000..340c5a295608e8d559663e3346419da85e76ff84 GIT binary patch literal 83275 zcmV)HK)t^oiwFP!0000019W|NT#oPCe+s3dQYaJ&2_>sY8b)@d(n6wWXsM(^iilD) zMB22q_uhNn?Y;M2w8!uHeqWFKeZ3y9pFci6hx@*->%7kM81LhK9Orq-Tu?ktt4K>h zK|w`9wSEl+)w=)rUy60Ne;5hB+Ccchf4`_M+UWM5Ki@^0IxmH@n0Ja+AOG(k(R$jm z20!a*MVtQn*IChqo5OE85@pEW`zts9&wu~te?{Bx9Qc#{=??jNZHfQ=f@qETe}3>> zwDrH2c|!iY<-cF&A^%h_3VGI_jjHC{_g+k)8D_#|Mxln&g0+TxBYjT zSjhkWci#Ta)8Fg;pLw95r1+0vsgwWyUjq}(joxHc`AeKEXXv$RJKM~W<$_Z$>fL|D zlI6Vo*STrx3uL*>L!Fy3RE{jSuXvv?QNKZ!>&7^C%15V?6f+SK#v z4ajm_N?8!gt|YSDbL@e0jtG9Aabs|S>2Ls9ZhEw))avUDS+1!%ryN$PLY5oK%WQUR zHYUsEkF<77v9gfmRQ*ksJr1&%&u5lw+!97)Ij2|h9>-C7vfQTdme1tLIM!!}(P7Qi z^<+6FV}*@F@pUmTWHx#Ni?ykY}xm>1X%xA^#GdA2Aw#582 z=l^K=*!YDkS8(e-p)H-j_%(GI{xCcz%UwwxZ_lj3`qhccr?j%0k>&L7mm?}Abf6EM z%~!KGLmv~gOw2~kkjQfFn!Ok7ni`<5{Ciz@lQ7=2^TG88ohr!kFQM}(PquExdQX`| zrW}2T=NF*v9@hO0`}i@dAtAO4_w%OEPSuMh%blU^Mjj1XWO-iZg3)^J<9NQsxY$m! z&(L@4v$nG9U>|jrMi1ogiQs;(rYXO?{tkWeKD9jb$^rIN7nM{gh50MKYEGi&>4v_J z7rndSKL~wS&KKng`Gw~jJuoTtJcTT`)_!>4r+9@d`)prpVB)k5-&ei0mnq>AS)Lxw zDC$mue%E|7JNeqz68b&;tfgzN3hU=65NPzKpDdTWwxSa()ga5+EUl_>%+T+W$qjeb z2W3J3hQ6rts114Jm%|LL%1p zX~;?LsWz$XnCB*NeH<>oyTUC1HJKMzQx zC6wU#I`lNdH*WSP%cV{UZTV5~KNBV)<7adg$a11_@XOD_692@JuwHi^)h770xce6R z3-Yk@F0TNAJ+)C}Im(#%_!bk4V`xxI^L@qn zwU_41cxpZLzS;cResP6NtaDm#VL`$n=&@Zvl9|heak3!pL|1FBIa_#!EXN+L`QUN`>z0u5Vtp$!)|GTdB#G|= z<|A)HTqi+i6?!L=eWk760`qx#`SCuQ6@1^ffcoI=^RUy-ANS?w3!q2&GnRW4*s$Ji zUs~sun#pp8@>m4NsRWG2PNjXTE$q0yXZk0FfHgi(rBG;V0uHJ9D%>pK2fHggUA;~5 z0iLh8Fks!DSj539lV?_ZMR#%iht6yA6K1i#b{kV{S7Aq0haK)%>BEn=No#(8=lL1m zPl}*g>?Xur5o0yFa@;SbSi@`IkF(Gx&IhgWG7oV5)7C3@grVmh)>#dtMws91naJYP2dDPnO5hchv?8;CjuX z-&uYo-^cUQcPpxCbdlxKXz614QN-1nw)Z2^TJVdc?-2$q$p&P(y5#Mu>4yuD$8YU@ z7bJ%9?jI6#-h%I!30XNTn8JQj-?dsaJp!(%omzME;bY*Sl=B*k%$m^Gff)D_Ji0Ey>|H zoPpmT`{~fvs)_NrblyDiWj9$a*|74yVYfZ(6k9bIFwZgcd5%U$ zfzKCKmi7t%!tcB8oN#{B6$m}m7BKdlfS(x94^Pr)DZ)G$E!Z*^ogmAdAGF^X^#Ctq zP`#w6%u0qH^*G+rQGH657eDK~;AJf#%URPb?kA369%syBqD~liljQ<6$;5MoSckc| zyatuW$UiD87zIal;diSe-<&_GvKQkkTsr^S7r!s3aU3(#LtMxrN!vE^HIij_+o-zl z&o{vi?>D>9*FaDDOzIEN@7#jl^Uv4r&?R3_Y)uQZN&j7T^5;`K)Qszo;P+7$qj7w@ zm@!{Y+nLsj!p~%>W^jDk0Q^FF(Es~S64tlc;YP8%8`igPSBi(sZQ!T;6wlq8cQcV? zA9?ztFVx_dk`B$7S2iFYnUXRS3edv*RZSk-%Uy)|>E&{keaILBed>MGo0!gr_3faG zs=tos?F#kQU@EA@d@Ga0K868bO$u_$J!!f|mP@zQXIY*Cer}3O(5*lG2H$^t=+*Iu zd&qLx+SgQ#2a&&YMP(hTrAb^>tLU% zHhE6I!21htx3RdK1I}qn47~Ny4t}9rYjGF*7R0UIdb=+a{Kv?0&DXK)GxEqUx;L1u zX|=wE=aHOG2U7%1u@}>SH`N;cmh*O=Dn)?nvM1DR(D&I)81bwQl9Sm;d_JRHz zmOnQr!~FK&zr;NF7ICuXNVF{FEzC!5?KY`0Pw)vb?gt+U-LxRf9rxrvosyRz%i|=* z<&kQ4TtD#Vdoe`@vizHE=fU$u@Neb6`Z@UmfO|<>FWKH+i}3|s;28VF*8%;=cP+Ra za}eXDJe$Ex3x24kP{ZLsKlqZduMXk6QotAG89Brkn_;}IAK3nAC>uh*#-{FEo!Nl( z96nL*egQZt-C5o9_g46eINim^+as0#i6fbNnkae0kvG}@fDs^#^1#y19^FE zV!FFvE##gCuG|L~5Wh0&X-{v|1uxL?F0Em&H1eCCO3N#;eJ^2`=_vwBQmU{6=X?A= z7{G(ol~t@sJ_NgIFJdt^dyjbBS|Sv|wZo4r7tvT$7HJ|MsH=R`qkR&2bBflNj{Zwd zWVvtST2_)b>}t?yyC)r74xgzog zW1&4hj~_PNS9}b1*pap9JI(1#ma9`Ls8&`B$#P52Bf)|{Sda3X?APrdf+r}xma4dY z1nWogIAhdG0l%HR+-3J?6zfyVA;6(9)B`{(^tddd!Q z-+6K~Ly;2VWV6eArso6PWO>45JW!$t`CrDa<0o13kZ<)@HB*vr_?(7kBWGnGNav+8cg8PGTG~yFW-Y7?!55wVvRH6`0ux22JiMEAIqUNzuhVQ zl`J<_r$1gRf$>imcUjtnJ|fFaHcT0UMZjfU6?z?OQ-Pm*PBQG@cw7|>Ll~{PQ3M;$rnS-A9x8>128OX!?5^-DT+SJq`bo`@k)O?qxCD z7FKwE(ed3JD#))#-)VW+TO-c(&mN9TQvq+@&$`8obnF~iF61vTQ%QwA=e?7DVz?i; zqKlNgBbp2I)69N6^2JxkowmgX);A-6ES3FD)Bd%XEVoA#U8Na8+^S&7-C_T92U+eu zP|~|~UlZn&Ny+s(r6A<#pB?;1VBay%h5np72YYD0aOm}AE!az+Z}zztgTOuWJm*g{ zG7@;r^jEdpKSbd9{K~JVt*QH$*J|$Qud72GD9U(aP?AUmJ)_J!Q)X_7c^vUuaeu;x z@0(uN7C%D3bCO&f9gpBw{Ul>IUKR!3NG^Y+&%6)w79{3qe^`dVub$hNlQ)dKwt?=T zqelp?-~EBl_&5#hI&LakDgSObS&n)cJ&`gGyysSZM(TCrcFY6k^9gYQ;DOln+pVU; zkq2gr#?$BCZYRsNWi}4GhJnW>4syS&*$%uKd1*$pI|O=^F}?hOMFRLPEU1~{q7C@x zNIB8%wb!w(+15XvoJd4HiKO-8oYYq26D6L3cVc7^$4FuCd=iDBXE_a(;!4Nv!7evD zduS5s6N#3R8oqmPljSVREsoo3fnQ@qBB~AEVLh78FDQj=0gsq}x<4qg9rdi-A7Ag& zkKy?X#|97N_F#RI@9IWNbs)dV&RH#8C zQNIq@bwj9AdhY|^w=CYJtd)H5%LVEs71j*EYpIP7&qR-)ewXih+;Y|yas4yRn*RZZ z$mde;we30EejVdYj=!yT7;zv??_h?oXE0eFXg8D%A@J{2+sETXEln`r0dd2t9Psl+ z)!$MRGf{8(TG4oWYrQn=t2Klx=MVCU-d7{fs)7jXcYXuyHb3yLmAAgn=~;)u-U9jm z(D71}<@or((o3n+WVvID>!F7Wz=4qgDz7g4fal8|<#$!l58)q4_JdLZZ=fI5X7gf+JHVsnvDR!| z?dc`UeMag>6xJb*g=fETE6IRJ;_tp1Y1&@xUJQl-GBkL0upuMNhrj1NsnmE!oS95&3`VC8w31S&T1K zpz&s;qQ^gRq&VuRCxwbGp8Ghfuo)}HRVR9~HOdn808;PKoy@a{S4E2QqN2~ht0c`_ znv5t1zgvZ6j#J*& z=zty;3CNwGMf`33Qpq`Y33+RLf?2|TE$BtsCAEl4D~PY1AIv!Af`QL`&IRw%Zn^`# z@Z3c?vlDq_wY^7SV8bS|+#ny==okyTXI5RXG9c8u9LUv&0+Ju|x8WA`X-zZq{ljoE+yaBg?T0Sy!WXFJipjJx_P< zMqJN&WMUB|4n6;+#Ov9e202}cX1fBfD_Jh!(HqIF^CHVpYvi?lzD0h}KGpgs%t#t` zeLZMi#RB|wGMBIY(l~ge#_5?kV_m0gMcL4|W3@cn0UkiTx=fcJnj|lKo zRbQJkYTbZ`OBzL)_AvvOL{FaCpxOc+xcK~AA%_#-QIncpylM3%;50i1X$2bOOPyimo-bgtH zzej3xY-i~Ok6kT&+3@EF@X&!jYo7k01P_#Ic$%?L3i)`Zvd#Beb<}lpyLI$sMUk&X zKWGjvk4DcuJAMCFFv@-{8dpSFC# z_vOo(WI6GTVY4|Wc%|qYr|hQp!XJdwCajCu1pBX6TR(GS2L3J8xp3vVM=9nv$66@H z5A%@{FBp_p4S$)_>D?||f$LYL$RDOX1O3R}CBLQe9B@z#ofmD~4)~KoXS>^4>kY_q zTo2tC$q{iVRWn_?!WRBDwIsFnukRCSv%!e&@ZAt5U#er6)p?Kcq|j6Gzgh zK3c^+#P6CJ65h11VxFrDweF9azsEe*wI5bvo5J^lT*ppwBM(eUz5I5t4ZKaK48z3( zjquZhG+hU&nt`91e8R7X`J>Jie39dJ!D0C69NtJPUP0(_qA>TFD0AT92E(UYMK;23 zw)S=pkq-D`d=CB3lPh88-LjfP%Jaw<8WuNCR@2|a^Mw@DGQWi1%Xm5QTgnJ^*?##S zUH8Sne>PGtFC1fppC^?pEKyY=4n#|uJo07-UaPd;@r=X-y!R{eM~`|i;y~3~w|6&( zU^jUyy`pB8u=BP|kxbK7)B$rfMt9#eMBMvfmr>iJg!)B`xa>9g4r%CJQ1YO|WmB@; zwK3;f!$HL1g2NSptzz&CwRh+%Nc$sky$;DYH0JOFMXkfh`8AScx#aUPx!w!#3mrG3 zYeyLH{n3FNq8bahe@)f4?kgQOxZcF$&ki~cWO+);?B>;1@Czi}?hBqHz;|sjyOK;U zVLlo<+sqz*g`aL-zHEDOEBs!hWPbo(bS?B{@oe6v!_d#xd%CR04DmcMeqHnWX0Y?# zn~54locO$R<)YsoNAUeMS|8qcSb%S?<6FIE`vduYZ~54U`TwNTf9Ko9(v-;xekOgw znqPAR;#~Q8HH`oo;N?_Pqv~fJ?$3>0$(vazS^I8$)%iYS?D#VJBU!^|URhc-5I&oEN z=ucKT5!|1NS*-aSA6c&Eb_kWN15aGX@jk=+&YpXUEX%u9bTD zm*#Iu40|%fpnu~A*7gyouO#2oH>`1k{#ONmUYgfKe`<8sDS@E7z^w%*j=xvj0^Bhg z!@6O8UncDN5XZM$M-fMIn?9Ha%RoPB)vLmL)1gnTJ2&pDXKeo`j*tfSC`jIfUo7)d zRiyVreo?>_Pk*!pdN90Xqq_M#@Ls)P_I#$dJ)SEp)p274>J8DY;vX*ThF{4GTxAgG zgkMbxrezM^0^X_d#laVE-+)Id%Dbm|API4)+g-IImJxWQN~vIzo;%`1s?M7!|0?wT z6=?|OYCJ=qXlKa>>Z?59wK{Fwau40YcpCRFsA`=99!|>a{u%cbJWs{TX0Pr#*lnys z(}frF!uWhHtm42v@ETRg#|-bULmpbxU)j8N2mDHASIFHpA?Q;ridgAz>VX{>=*-@d zJAt?o!`_#tqpFAXN_a6hOo9HHEWfdg_0QHpFC`Q%H?Dt%?+eu=Q=7pL6dlukXP<|B zgftgbO49>8log@xbth>Pp3fuJz0d`Ao%hu0?N)unp`wvqrLZ3G2svfBN+$%NPhqOz zFW-FsOqQc)2ZerpgI?Df|4^i~gx|~Cby7-s4E%3@6R+s%8}RQ*D*5LIZUHxBjGUPA z&Vk+ZiVvLP=|ewR{Wr&6h9}5}3Mdy|z4-#(t08*n!h##@wuZC3&}4i!p65rwHq)bs zO9L&g{*k`W*DkJH-RYOWZ(R%rPq`ll?n=5g@S*x1;$DLCDz6tC`aTjxcqOQBV*Y9} z9t*Qv29FmzqhWky2l_lKKKZdtP2&DBYZLdyaRR^ok3DVL^bvTvN;|E6zy!FZXwr?M zg$sUz6hS%u^9%Y+;-7iC=!rpJtCTMuN_)G4@#~Dc)LD?|lof zuSmY;9l6!;C&Ae_4RzJwAI9XlG}uC*f1TgYOKq-0pG(VFxPIqDtZ(e(?yb}|;GyG_ z%M6(*z{8Pj%*FFl5GO`E8k>WK4sG9{O98bZH|e(gP+d8&+g6Aq^ zuAEVrg}=&lp%Z4a?}Ywz@kO?u#rhPu$@dtnsrV<3G`;m3E0A`;xCD04ZA?R+9M<*9 zX~F?{UrX4FBnokiqh~sq(zVVO;}|{6A3>iBf|xiDAy6L!Y#B%ps2 zd1=(;jf)LuP&cm_5f$wZ2M<-xN_UL!BjRx!Nvr%`H+YBonW!f>}Uc#!w`u4&p|Y zd0tRGANqHS!;5#EeTn=iYqu6NXC(BpdG~$ex0^@t`H;GpCpGLo-h-JGeFvY{zqc3- z7=&LX3GG$5Sc<;X-fJfovSfgVl9Gn4Ic|$#JTfxIR9C^*llFXha5@3bRWH9UiUw(l9%x;ZCJma7@q zwi^#)y%Q_IvlI6CRb^hE|;IlJUX88@yB7d(gKP*=)1)P*$o4z{p2;*sDZ~64g z7C11t{p{y^lgQuN8x4JrAT!Ou&OFg~lasu@{zt@!~nq&xlFW*wu z=bZ(Q7gwTIkRA#9NmkU29^yp4kxs!yYIz3SlDUU!iGCWmG~nJ2Gm2s0z##L|JNc8a z-K9*WBoowu2V8b+;1#fy?eU|Jb7)~w2VV2^t-56{nOgJu&0{2OH84ysQ={A zE^eGLLp?T7<*C~92tr&RRWozep86+_6dn!nuAxT!ZGOr^Axn?vj? zjCMvpR{WkV`n7cECrDWN{oaZW_@|)XujniZcGg@r7{;s#9w}A*X>Hd*=uL6F(PaT^ z#P5jXo5t6ihn>{6)p#|1gdAubshxHad|~w5nZ5f?6ZY99I^^&Ef$?PVrDQy(1>Q_F zosx1sh5ROKTR~FiZ{&$7>dO+XvB+b~cz*Jlw}9VF%i@Ys)I?mUOpAWzz8*YW^*a~E z2!6!5A_@r;zID)}v}Cm_!gA4{!GlTFB4~482V|_+pdzHDPaFXV(*mhM^(h-8rw~} z)XTv0aXxqR#nqsXdGAW8mz=O2Wn&p`U{Gl*8HJ>kG!YH@gt_S2Rnk++t<+!F(Ux`ASz2csK3S zW3Mhv*md=%gT+6kpx;Rp@3+KFV13IB-MPeS(I-&xI9vAl8uM*6{6@1pi>YyTtnBcL6sxbvRrZszDrxJjhmP(TC3i z%^T+qZbZJ5^~%&l{p?k5Qm@2;nr4`y#;;Dzab>?Z3sM!r~HQa zBu4a^RI$FZyWEC)SUBGz&lWcDAq{uMgLK!T9+k6oI)m#w`m0FMB-R8;B`IuEf?wpnX2cu-28+2jCZ?i*~JPRlGydB?s!8R#?zi+cOwb*ou677 z-^hnJQ|uS5AMT`A;0Fp*nx*Z3^bOyTG_N+ch0}UMKLG;XCkBW6#MpiS58Ib-6koi-xev ztjEU|?@}OsXDVFSUL!yv%dONM7ERAEPcxThlEU8N{(~EY?rDERe^LEbe_0-W;Fl!I z{UV)w;A@-WQu%KAZ-QRYpW%2rjQCzX?>KmC6nMBr&LG7TwMo8K82E@@|Zp;;J>!& zLI3afBgwLlm6Lj>CgNnQeH){$GxFKGm8$&EqO*6CLqDOfVN|2@ognlf^g5>AM+c2qTmVV0JSslXTib48GrU-UtLO2!dHt~JWmaC%f`A-z%3OYdAx-p z(dS(Br27x&D)3;}?HhuL?gnJJ{Q!l9MGSbY8rs))GUVVFuwYT|}I*0PLPPR&0d z%Y7+3;u}-3J}u4CDXffy{qL8zF}vSI+{vs~?^5pVjfAi00XMW1FADx%gdd5i`P|abjkwrVe2e<$b=U*xl5p~4PUM%>${H8W z9Lk3MX-(!Ht3v+MMqQo$pc46CH`C_UcRk>t(z~>k*&V?Xhi8pH3)VutBkA(DrB}6t z`rhS_)$0=wck5MsBqAy?{;J2!48Mdi-yK=6WWEi-ek(_B+C{{G=W5 zy#+DN!V~FFm=X;lL{RbBOU9Sf(=ff$$|KwE|`aRUf z{+EuxP8k<<$cvak*dDL(EVoHP=HY4uTEe>Qg+M{08 zHSy%xX^}7g#F5l;#Yr_9^!xjGJfN%I3p^gvCqAdl zVv*SmKj4%RnCw|aI47Ze-Lrmel6lpVhH#s<<;9A z7lA)x>LW!J`H`QI_ON|&_yId_65JtOa~^RZYWaKss}1t6Y{l6R9bUjw@u|+#$A^Fq zJIt@AYtVfr%bl(fPv5%3&ONEjYi^9dPU22;I5@YW&KDJ9*Z&|0b@CM5OYN+$k^ct0 z8wuY(i#QW=M9PdmUxX}sJ#Ba4O-KD8b<;QD9Xqj~H(KiQ{xep{>wR8%D<3z-{WHB; zrw76?zMOpi-UAl!Gqta+C$BRT_R%SH(z*UdewD0p_q`e)a8RY7JrkcV>OEQSUnCqS zA-_sVwzm9!8TL|iRN3F(0r^PF>5U@`R9OF#oDm=G+rXc(W`iMnKOim!f6--Ry^XjL zRP$l@s0E>4@A65L?V`W|{rmb#&Q@BI<*!ob0x$a^?uFC;e$sayJf>HYbC!ha1m>&L zNImu-{9=%>%FXhps0U@PxjA-s3H@e;7I_Y5W|5x+JTA<%<3rzh%atGOE^35*f^0`_ z#C^a%)ja*{`nPG(w~^`A8nd+q>yhwV*0ps3^`Ddvp827H;Hh(STfP}}181b3P&9Ih zf>0+3#imZ=zs*&L7qP>~Lx0wS6M;h32NPfWmi*MU(Gimn1^Kbo@utpsE(A;q; zY5xfVKQdYn%2i3|d%r!;Q)LZ*Q+P6=kJ1wHAd)3DPoxw2ne^;R)elze|B71XqxWA? z`zMZ!ye*;Akwab@`Rg)Caxe18q4{Gc72FB?_R5}jQ$(O{+DNT4YB&nLYkFwRt*l5m zCt@OzZ&n?=O`Zo`(sLWwSp{{L^~P1~v#R@ge{aM=#LrUS^=tolz^)rK?FW`wz~5E+ zn(02+ig~Gwy}fQ(q1O!=UFaGP9Fa zTM6|fk11=%)7Vdu{Wd1*C=dA3+P&N5w(!9(RR*~56)qwFiscjEx#|i2w1`#o#pi>l z)0K&z%%k|hf#BJW(AT-Vq}O}~Jcj#~?|lRJVfR@S#^>Ljgr6%d z`H{6g9QeMbzuUR-Ebx6@b-8u!5#*N*DZ=*-ocIhoRm!0ZHbq@O;mMrDHaQ2Z=T+TC zy)fi&dC_wB+y}tVmT)_Uv9kkr#1@tBIT{085zoCy`kV?pH>t2_;ouFtUwG~@w3jDLf+SP(5CKf4$lDs&3@WA^8Qw~dP6{~Lo+T|6EF&zDrp zKX_h;I92yn=y@+8E>w=RrVRQL&P$?xp|N-iajaucUxW}p@Nvt{*C&;grSUv#&gPHN9MHc)bJw%ZB={N9)E4Oz?5JmzCHqG^T|?hS z`CR&{t}pVR;)QoV`IeyX1I85lpVOk=RPN@hU@!t)Qu2sjCaVDXZFA<8bFQhVFVyh5 z@7a}xKG^JxJ$9O#7|HUe(*>o#v%obo4?LbI*#XaYntl*ucnaLu`RN;_0W0*We~-6N zm=u8rPv6~H`2^$dc;jN!6GHIg;=EtB528NW<1=bRGC`cp+-=fTp#t8vytQzqz!ksm zC~nacO+bEC>BH@wB9DBvMNYP^Gao!&R)5$V$7iUol?Y}}SPvs^Ob2z$J-UwkAyL36 zG4e8=zxl|s9_x?L_tq0VJ4OqDt7@IIWVGoK7wdezF1cLW)xct!* z_SZ6@&+k45KBGYC>hG&L=({OVPfL^IME%e&qB|+SEuAcp0KS@_` z*|(z$yjO04`$N|eHL{!%dRyuy3HYGrPO}2fbJ%?g^;dzcap=MDslK7)PuSm(zth1! zzp9)pH@xT+kbdDqmaB$1M3*=U$Y*-lMnnh8J1xQ?Pc(Ek}K$bIwU-dsQ1*F5INa zf9DVKZc9t500SzRsHO@2YD| zV3$o*TLm+$;V0A7T#6VTpiiV)>i&;dVZ{BB$qd?8=I~qDvd7hLr(k}&GmrbGZ$lhQ zeI>!C`3!Na_NL~v#RTGNchs@fiZh54ox6UeeO-n<*B?_TyrPJ{+HR?f;s+-n*Y0ZO z*&=~@O6{W?k&|}_Jdi=imB)`@kC`ijUz)dI{_~2zc-xt9kmYtwtyIrw;KJ%kl1&&d z;hd9~JuA+efa40Lq^K=t!3(t62m$Zg>$}^MPCaUo*Dc6WP80G>>}%X$iC}lh#SA2eqL)ng*s)niA>zB zt^8#9X8|>r`X<7@w6?~8W_S42q;&B%Jv;D7By$>nxh;_E?|a!renP#bJ?!vzmtV-E zvkm&SnuZa7^H&T)JOW|&S(|TjCrbby$0DK z9c6foS>-38|1ED(Xr?*|e$pc-yga%N_iJ7s==xSX6Z0{@Nqoo>{X-$AM`w=;qdt+j zzTDS1fxw3gH*?>Xe~9(c{Cb6M75sQ6&rr~3GvL=S+g&M6iJ1QihH$>358y$w^)_bl z?SY;aIz8b3=7Ie>apRwr_ZGuX=K7>=bFRSknn?Gqk<`$a7_hYY;EQndP4xINdNTD9 z&h3-bAN!Jx{ZUzFAMS6Y!~Tqdz5DO(xCwnL&}ddm`Gx%PyWtg!Jd`3+zrIh z$gLmC{5uKfPt9mf(!U3O_=pSc!V;T+T0 zD>KU+eaLsy9=%n+d>(!6^=U<=v0BI%3aSlW2vj1DCb;ggj5bGqQZe-vh8Id$@ABh6 zavxOVetD^(+bR@*Ps2mv%xA-4ubD>LLB}4#&z7Ic@rmfh`4Wv^mYOcM!Ou31aLgO% z;`&+R$6or+W50U#+KQBkW58Kyr|yVFGN680ByC?O>IVI;vrH+z{s#B!n5Icj?Sg)m z@H?pPUqzp4VaRhS{Q|64;-JWOpZ&mH*>gK8cMfB|!Ybmv&HaXcCs(m3nw~=(&AF3P zeEJD^q)hcq8SZp?WI1I#uXo!jc;{+u)#iK6h~o)NyNWEv2>q>jH;xJkp${o8``q#F z^I}-fi-`eJHOTk;ADtvk2TS95A9L`rP^r3?+ywnWSH5^Y>$) zWL~rti^6I6uUswKeU=|kFHCv1{;8xQa9(kR(UkC8-hbjq`sbyA*{vk9TyvaHHvTQ* zWt=hde#QeLkQsjtI6cBS0GU1N#_Pqws}$V%U0m}7>)bq`=Fqr=xI!A@R=0Z!e!U{Y z^O@fhOS0^l{5WIx6wdof~|!EKAwRd#8KXxdToh*qSV>JZNGBihhpLun)}d!T9~7R7ir3=m!cg?b*IekNK$PT{?Ai8Tch9DSkrm3&xWpv-^_aH^jAa z&Q^-g0TX1oN~lqow-SA_MX@7&^@MZP^W1!Uju6gwt&BPyWD||`O$;+zdp3n|&Y{%& zdCxz{=aP3uYHFGgc$p22rz+!NSKc$iDP#VKgRQ6dc4P#>?`C$4=$)5=-p5(p{ju{k z{6=JvtbiXI;-Xu6P0*FQz<)7mvRTCk@ceyBrKK01aFAu+%%jr2UGU?D-?L_I-(kI@ zBslvuB7idrXnucTO2zzSbL}!}N|7YXel|MRRJVYWvbT>}=Y4~{M4f*rTeJZEN*pO# zyzY&Dx2OZMZ{GX?ZbN!2;&LNNTxLEED}{i8RIUHSfdkrZiaziV2ND9$x6Y{@fDw zr``Sh5I4q`7*nVCit01$DUpWPg#rCuff4#Te{!&2qjH3vmsE-TDwuZf>lzYpOOE-` z@j^}u%-5T|tIA5aUcwh`&U@vkZ-p~H-5TqR`Hi7;rz<1u`zCo6>afmXd^JuVD$esF zPE?T?d*^7NUvZQ99=*lD@p&oYtKIdeFXeqJS+w~G9=YacS3q(t^67%$7~0>2^ZH^a zibyQxq&kD_HzFFKEYhQz(TQz?0=;gT2!Rz_UTj zYdC85B90`dIG-y_gWt+$buThE1%A#xuA)rx!t>?kQF;rE=|R6pCHpvbqE4At7y03; zJ?aGo0qt)DzCvHK^>*@&-9f)jiq8G?80F8Nch#&2GRsf-V^ndRObf zgGBbqU%R}HkdN)19l8_?Uang4z`|)2_}Ls|){oy6fS039U1phvvA(6gKX~T2an4}% z*q*&-HX>j6aqa8+qA|jG*37hW?g8KpQ{6+#3j)B?R`!-TB}71f!)0rtG+zTZ#8?Em zhaE(I5I?AR>N{#cs@;(S_tttb0K__fH}G!@F6u!q>_ovy#* zfS=QMTy6HyK)or)Q?fRY8Mw0W;&BOCG4#(RCkk#5+z;I7HL}A|rycc`eBU91pAX>= z0$n%7(Wru#ZPO4B^S_7sY{9A>_tg-{@e*J6D7k#b`0c(tmLJEy(@0r;GkGgK59y9@ zxXlab7b!hvNU#O>&logzw3`5~@w;D;nfMO-CX09EOSi}wVEwCiZgPK*d?R!7ov@@{ z)L+xT=}h) z^RF;JX)+>5zIE0O>b^vzRDn+mHryg~n;fpK^ z{>#{>Rp*-`)gq1O3_iH(b7m9j5tHBIicdKsZq<7^e=g&P9hTIGQ}8h(ZWWy6^^`rA zPL^wWsT8j|fbT0U^*k@>20pPv+MIXaGUjdansDx3H}Kz8`d7kFJ0iXhma+GmQy`Bo zqY9FEeggd(t#g$pvU<@sFs8I99p8$$lCi_Cg^CXKly;RB#|laCC{yZO;@gu@4{3J& z_`%Z!JmJJlx&Qc9Lf>ndy}#ZZ)~!8&PHoBwd2R06gCo`{sArIRss#tApcjL;?7W4y zqK;Wjab%e-2K;UN$4A^ukH8C-_qkluZo~OQ!#$e&U5yd{HVa(?&P17c}DuqVcG>$~3YD-)($kL3pd$5a|qP8%(7V7@#= z{V9yV4;0%CSE?IhKC@c$m`tq^2TC^Tye?md>v#CNwtm-!Jr2E=et(r)4Ei$NyQ_r( z`dGo-%dz$e;T(`}dTwVAKz~}O%~&3Vf!Axxk6>6^L3rOq4L5^bIH7OmteVK}Df9)@ zdp+&X_kjJ>tocAvmqUKiWXGfaHky#%Js-bi;)l3LI(%MnRRI1cs(zgqXAJyVl_jmA z5hrk9Z9w|YfP62qJpZ_jZ{G;wP?z3$5%(*=MOjaC{W}Qn1t^lVnKl|g9L=}Y$~@?d z`bUFFeu7UEa6wg&d)K;g;NZ>%x82jT7=K+0U5iXU_=%Fao=4wAkPmjW1|8qziF~Vd zC`U*uA2_8Wzjaj05dC?*mLdHVY2X1<=za}e{*?*)5!Sy_+$xFRf7utOXo^0Z5}w}k z7K|VNi6iw1y#A$k2|U#knstin2zk;_RT;HA^6Vm-kI~unu#38%PLfKeWf+ zb!T+W-b*+?x8TBNj#fJ4;iW$cZFf3APpgud*1l;$pK7|d6L>&kYfSHM%^!&I&V^7n`*88%k3#e{mzB=V(uraHs$;pU&obaV z)jYL{8M)V~Jj|9+KdDkV*?B9Pz=yMP>+FaFZ1N#F@<#kKzgwnMI8;nCt(z<4tGo6LElvA?Ips0&_P4kM|p9^2{8-oS7{p#9cb~!`e%JQROhCRxKUpF#8zJ$ z{YXXC1ETlMpkMhPmIBf~LBI01zKJ#@0XM`fgjML@LZ5Sa&hYW}cKDCX7W!4`F7z$O ziXTh+N!b5goqOf_pKy$?ZiwgC&D|J(>zJeFFCOru&020^(}&>q3uQ-bDDR<9s7a0?>eBlY-+P35A$ ztlCB>|M5M<*($H0d6gmfuMYb!#arA6=h5xViR=v|oZrFeY_a1Gc*6=o4eE&F(1+~L zv+m{7u(#^UpY5Wm(C;!m4G)(E><`Qn{aVep0XQn}Fx#ORZSWt3! zp;;~9(ejLwCmDm0CuQCbs48|to*A%gH-A@@kS8ggNH+Y5{wu#0&Aguq;5G8&>&8O& z17DZ2?7p0N6Z~D)rqg?3|8wlY-}|*!gby@0z;0YLcNCPuFBYBJ>#&XyaVtKewPwN) zJVSO=)WxV1sO$HrKdiZBhW*Y7Z_BQ|(L^0A{plJ{CPw(hT*~B|M^j*jF|-5nGw$Gh zlI~E&t570ujbiDgo23VjmMvVK*QSGYF4MO@+U1Bo(<1Y=Z28wv*Gex?{<0+w=RWu< zu$`9=w16HqzqmBOk9=k1Rq}vP8F;a59@34u*YIN*ofRxC3&;oaw$F)gNkE)T4u5mO zpB4Od+Cp3ShbY3i7u!4zXj%Y&wFc~P&;W=)cfXr~9=ESNc=GfI@L(j<-E3NC!nyKp z8@rTVq5e|9ocAd71LA0sXFR=LI_#`?ZdC2YTlDjUUH!$vrh)a!%dA)|mm-{dXz)C0 zViD_;^uyQ5U`Y($PZjujuMYQ1uyr0&^@CrC>E*7wybb+_akVYOPW#dSRxJ8tF`*BB zt@w&u-R}_Ks6OA{J@uQRuc_%){vsD(_rFq>8n_AXeJj09*}Gm4>r+s3<9n(c=CkVX zfEA4r;e9;Gp~DMx@H3fV7Y&;@kPk=PeShVLC*eH-PMnh)g}|HCrL)N>ZA88r^NX4E zHX435&+L0#_+I$o@)ypBR*n+-!-l>d$r%QYh<|jr!KE43YrpZ_w22w^J-RbYtv(2N zwaT^Pa<&2?j<6*N=$Fi8KOV~DjQP%9vUDDQT27Wr+J5}eG{ye#f>ObN zVtx3>T-$NGn@Zq8i>~mU+N4M5Be_7s{rn8}7uBm#@ASKh{Vc^BQV#g`AntcFwN_4v zfye3;Ok`6#4&J&=XtayxCU8b}`fiDBme^mC`Bi9>i5B>i3JN;Oug_txDS{qnVvi!O zk<=513z~pSy44=;Q47X=)O9~moaVuPvW&}n9-iWy(X)`q`${_p;g zZ0eorTe(pujBUAh=RyJDyqY53is3jy-YKUsFnJq(s!gI00V9ccIhp+aLJx z^stqv?`)8(LKEMXWrAnxIF)YlRTXwz^!U#k$29oC8o8LJqGa%D#Z>Z*#k25ZUBj}% zcWt2OSu@uWZGVBZPW=MABgLh){V;^xC8^xaWRn5TsiT{*y48xfT~*Gr z?DQYE^fxZticOYG!G534`N)tmLZ3kDsL|r>Na$BX^6E9|9_+Wt=}6+Ly$ak?q?CGQ z!VmSdOy!*OSBJq%)M_bkcAOM}e%A@NMh{Kk``h|Ox0u5IA{{M4L~g-8^70Ogw$cD+ z)l;>7{WgXAQYGcM-sBJL-|5cEQ)=1hMV1FYcKJooqAw-=fcc3N+fe5&-%|fmt{>~! z^i}zk%qv{Kta=AIgV<9M^6i4 z@#60VPD}L?uA$jP;E_x1MSV=bTNiw=UU$2Oz_TjeXWRIU@ILakBeR^_Heo&Nw<*(G zVf~Ap^0+p);k=0gc9CFbUKKpgyos@!E&O)fRn@u{cAP)huV*gbP1t8$wxn_CM?1cs zPoca<`YP6{VPqiM^&E1o-mdm2>3 znhz+${&J3T@3C(}94>mXZ_~&dLcLWZp#K09`o7&14Q=)0;eX1xUbDshPx$!1apdbh ztL4%!u-jn9YbA?>x>QlCZ{;pi@GNARlMLjYp+C!C=B$Ap2i!`Sk5xs!;m2;X_1v*=%=;6DCb<^y)9LIbw^fb+ zuT@DnkL7AxlI6fQ?TZeag!fEE<+P~&XWP(UyE<+B%v~FCG$rwX`*`?l-6Z2D(=vfjjfP5^B?Qz~)I|Gb2EvF>Q z6nt^%hq$Ke)Ywm4wSFn?@G{mjchtkSb`Ehd!Fk2g%Mf{QS;t3vA4SCJauya}-Y4Lj zv(^~fyKaX*Wqurvo^uAiihKKMO6@oDJ0FJR%^`=OAC(z@YF9?!r?T0#X0}KIHj{ZomB^ zHxcR|Dqpr%=@Qmk;KRwA;=uE9zE+HbD&T3egxvS?U&H4vm#AEgeUU?$YF$F&m zx&HUF*bB&i^FAj<8SaC9R9244D!eX-e&1}hFWLZo4X8ZcA+-qpJf3CBBK-;KOQm{d zmcn_2^B#D&>QcTV><la;W=ugUewE2Ra5`O=S#iHkYJo-FHb8;!3 zdy!u!blC~j@M69aRPMDgCqusqMI=A#JOb|&<*{0}!;ElV!HXy1=f5B>WOo1N%$gv) zzeBt_BIq^zS#`*2cZdk~J*TkUZCkNMzE+VxQ!9HII4bsFln>Q6!ubcm?^Nj>fLn5t z&MGZQ!T)8c$klu%^cxm^wKkF43mg+Od--uv5AsDn<@x-LJtVT6!?x_R%e(_JSHuzK zuY~h^E&KF-q=1L2$=iPDECu=%OXRty1_q+u_sl;?j}0QbafNSb=$Qu9w7Dfkf*a_O=!e!hqfTy};b|0p!0{>iI zIK}MWhdN=mo`&58S@^;FhF!d~Od@1CIf2X5$q@CAzUl$bni7Ja=x&=Z8%Le3>+Hez zO)J0;O-_2fZ-x+$C&hOjy`~HNQc8P0QpX1UEtUKvt?moJU-?nr)9h&A#~ZCKWIx~H zLzXj`7*)Sr1D+nTyUk>jPdG;-sc36_6QTZLbgA>4Db{s}`e3-*BK&mn&$~_PQ}AO& z)Mb=$GI;*-@@U^VSLkUSbLhFF1V345eEY_gujn_c9^KxOv>thFpXwsz`cBlH6Z$?s z_0YilPw*Mm4ZbJTFMg12znntfU)>DtZO-j_WV!u7g5$AS)ZObRHC;+=fv>t~yv@@$ zW4*Grk%X1cqQ7cN-to@aO?=zgxNfRQrey?2>dj^~>Tk?4#Y~v2De3_|2kYcG-UtppShI#CB&XBA?4&R_tE+ zf_$es*ydC57Sx&hKKbg-d}@RJ1>R6_>j7>k&D6KNx)FRrUDCtPzq8@@N*=si___4`_r-B`qrCzN`WKB-CanbT*%)F9e!OpR6?-N=ePO0590X>xi1}{ z;DNn%?>xBoxfJr@Ruz|9LF-U|Yp*<(v-S(&ed!;PMot9a^R6SVGOO-lm~U%^Jv<`t z+Z`&p8jnqJ&e80LZ8T$FuwSd3mp}UAB00jN(^)(caJZ-o8j zo9PJJ=D|Ns44VbE|3)84!**N4raGMem3wgSVuK8Dbk^9?oc3k-w_Jt7*AqJlec3ci z)=q?TkE&j9(!M$mHg0j*iUQ9trHoM(4R)Z@}PH&XM4DR+ie+c+1*CK294lj77 zq?4o(UJ~lweK*tWIbVQp@3LX2%}OWilRABEOM4;kcFmi79X&fW%cZxf{qzWZ*EvBl4!@!~pofyZlWp>Z_ph0;WDQOe&e5~d-!dKwyH7Y2Vp{v3 z_K?4JLc`N6aTk8RAbWZ3X?yU)el6){1`LREgPa3bl-LRVMAC&%BFlmAE7BUJ_dUkv z2`3Z}$`u1IHY-S6^Vh+?rzy5qckV31PqwITdvik=^WU#_<9Aar;k^P!7u5X-??tU- zU?0ynL4G+c_90ECo$y|=fY0ZH&EXd+*U_j5SRoE%sxfd}EQgnMKhj+n0^b{;zp#vn?PKp(@G4!) z#gm&Y5f^(pZX|oepq^CSmAYTe4*0!hX#3-|THy1VZ^}a&8o({F`F1YMg_y5~6ErGo^ z#IbH*JBR$f@%^rsc`2B$EFPti5qI=`R2}`$HlmGwsMdf?$H6(|hn;gr?uyYOF1B9G z-pW}Ef7y1Mg;ww+!Jm#d+n#ujzWert@cZ>^uwSX-Oysf68wq^Er(0C~^n~{u^y|v> zT|xd?W1Cx8N`?JJ*%Qo}QpfS0ht~MjN+rU3$#V1tJU?H_GWZt!Y~`m}UnLvF`>c2TjucM_=c)F* z*VJVPZ&1IlMr83GY+vt_ocaK)-gm5p7Yz6!2)zp|wx_NWfPyTEEsm zcSM~&R;s<6`4I3!+4^S!D)fXrJXxypVF&p2I^`zj{PpmI1%@rFzPiZ66OXd2IrD zG#mKmWYeI-3@(T(mCtFjzKxY*eoe-o@C?Fk(vMOMa~6R29F)I1_>&6HQ^&=#eP=lV zpNnbQeMto#C6#E$>I?#J6{o9go8Us;UeFqJ`r9<>evJc9LyYes?@lx8P-(M;ofrH$ zTvPEC^OZMhed0PF{9f|s&uj^vz_;m68(HsOM%}kEXP2_XG4RKol6#|{x|7IqlXkqd z(|z>MHB)MwEIfkwZ94ijDvVPF&zHk-dLava@{y{0zVDF$u4>gi>faMjIM2zTIn;3v z>i*Ts7nov{v7e{>aOY6VLHLnkCW{uE_sDOnSwbG|qJ+IPp10ywxq&!dn)B;5zX$e5 zR2#ey-gq8yI;-jajz$&mN_hf$k!t1OofA%c?Gvp9?&=%d8vbp_2lMr6%EiY7`kQ%h zo}{9MzSc4+x+)V%)UR@ezD?2U5&8z2b~%~Fv|+rT2JWva5bCw^-It;x!QUru;(LB~ z5xh>ZsSrIM;XMNhiqxIKn+SdL-fj7x)?nXban!aLDof~heb?s`E{^D%C|I|=%Xm9* zY2>k{#a2l|y=h}Wz+-Lbf3Am`$}Mx~XN~Ez?ovs_$(q3*eEhNKV~Sd1eD%h5S?#z z6YYs{bRGWYo-csD)w&;5FN4)#XT5hDQ>>XWk2N8_&Ln5>E~7U6moE$;UunLuD6J-yI6Sm#4PY~ zSEEnFn;pora}Mx)(dq-`=w^qF4vyjZ@xLsePxxBi2N>Zse7L-{?xT zNu$1tINU^iB3Gmze0!H9w~_Y(@MBjlckG%N6CI zvGVDfZkZ|KNdC2~6A|XXixmnSWkZ|bCkE3ueZEV0zeCr-m@CUaaBkzQk<@yT&%nR4 z4By5`VR-(stK2dbIT&xgvWuj+2=IDIR7an=9^yjAV_7@vi-@aTVm9t~3gLGuo7R6n zodCbpp`7JG*@8GZdtBtw>Yp*#i=R}pWf1&8$@aDP^EYGtTjRzybY~Ol-s`QFhSc%< zY705xiaPk&-l3F2wm9$sGrKc?7<_`C7~K5xjkNl(irPPR{AMW2CwCi1gHRAq2`1(*u8`%5O2kRr93HW}V>#XdC zz0kLA6J_%!-WYG&gVQPTvcQG8-!E~qepDgLnMus`A98_9D>U9b4!H$=sxTU4^dsZqh>B?lE5)d^U*w(b_+6jpVH{|D>E(JV|`8rzEHAqY8fzN8*g0 z_^U^to-_JG&s59;`Z-BEGkxwR^zZkrox5s;z`IwA{aAnA8*!xSiK~_qJ#h4IRf*nn zTQDE(%gH}O%HaPplKl_7GeQ4drsZP#pR1V9PU$N}+o}ogWn)ggqO%7$AU`NoprrwE zc}OT$VOJsY#k#=u&dYh|0~veZ9zjpB_-}nA_MH2pS=ddiyUpm;SqHLQbXuEow~!>( z`DE!SBO5|LkkHZ1Klkfl9<~Q0`7*$-M;VV~H*mwQ`hgpWcV%l| zCU`tSq_|O^VYXR zT*;f)X836Z-l6)K0j+K11lG~=yY@&Q<|lF?=gHA})LEkf@2=VQ7<%y|R4Jm}5dCn4 zmzvmRtr6#nZfzQgs|LOfjX7h-?vFShr|>YtRuOUPm#o9H`18oOLbn8%jCvwJ`?Y$Q z_eVdTKlkkUN=7>ZPt-vbs>MXu@0_=#@(2y#Jp#rXzek$^Pe&%2?@}Y|cZiSA^oYMt z=)0C}On9J$e*W~ijqY*Qc;4iT7Du^hkPo^=oneS!h93yr`D>Qi2RJ5cy$Nqo0q&P+ z7QI_!8azqaAQJ~~Cm-&|Adorv3hS5awo)rU0=yn~hPH`+2lBgc=dqdiw|M>(B~f~5 zHRwa}$5Uk+oZ%BaWCvPj=C>q{Z8y-OS$>2+fK^|vgPnn>v_U? zU?;2sZp^{{vcE;0s&U48m)dSszBh~dT_!8*l~E?xbA#DSuQN};H$<8Ha~*yR9<(E4Y;+e_$wV>-p=bO|^oGwHPmC83Wd>%cCjLsh^H$vpc; zZ|{J=h-qKG^o&rSjn^>R+}2kPeM~N#az2ZCSMeFe)8CblUsfL5`nofL@E)|e&ZP^7 z;D__ab`R;Eg?>g>MLIGP_5~)nb<-d8#`J0XmZsZHT)*EbkcJrK82LmS3kZXd(*?oRIB^%V7{Y6ez&^Bm~!56dI(vpP^OOm+!3>vc!I<4;$e z@W=}JWr0iU(-(`V_e8&(`Mqw0us=>M;%1XA;<^X#1~ZP=;6LIlJQVA*vF|(GO>?Ja z9mfBYR_}yb6L`?7oVUN%z8U)`jui7=RP9j&-mNv4FZ5GHyloo|&YbLq-gQf;Nt+#n z-Bji=*K~fu{@k(&(x5Ok;XSjD9_y1<5T~lD>kM+=LyxM%&&Avkf*q9?zc}q=3%<6! zV2kwaBfyIdz8TuoD!6`z>0L>O{1tr8FL5$y8hVu*AhwsT1J75joIq=lBSw}y9 zzEfE<#P})$c2>j1yk2?$eF8;KZG}4Dp$^)be8=J&q0hAaV7u?aPw*l+v+Jk^ZoyAA zJq}l3ibMZ?`X>tcz$)}H7H+-AbUP1tI%}6Lh@1ga5Ng>*T^{VGG;q#;e-fp`tAhTJKaQ=Xf)l$w{ON^&b{YdpE@WmYz-lFT~ z!K>8WbP-)mK;3%EiTShiTg0_QU53EtTBvI_&8^$A=`QwVwt4PcPkjsctylfs9ktD< zKeZlR&>r{tjPdWWy)ShX`B%l6m&FeDsB?s1X5z0Csa zFD<(+;~?y^=cM&;K@ad<59QR@`O}2=iC@$!yBvu7^*CBGSW)Agm!_lHv^te2M)7BpPS8$Y%7&fpUAy>(q!j8)Z>byEatw4AU~}hP|MPs1m92+ zA%39wDe4nBBMP}XFA)bywzb_m<{Nms>Z#W({tnpxQJronoNyBQoSnE=a5)bBv@tn~Pur=HZ}n~eV6@wTpr3E= z&bkoZvt1{&CFOUd(Z6-}w>w<8hw#08)nRwhK+gE5J2lC*|3olGUUC~7fek(2NPoab9xyg{b2orPpoY*WJTT|8@$%#^ncR& z|CQr>_r%2=gPrzrQg_VEAP&T}+F0#+3;bGPP+oC`@E+ne{`GA}mGB!RG4mZ7chOH) zJowT`|$+ z6@|S`zBv-S5>M!lJ2okLFc-D_{Gg?`ojXg%2=i@yDI zrif!7X;IJ1b{;m%=R|!av-FP6CuaDY3D!>q(bnKoNb`x4gV&K?Wj$PBY)U~KFDo7Y zsPhy4vEy`cy4vK$f8t1!(cL}kzY+Ea_wH&ZT}NIWej};)6=9w0_t=}iD@w8dR*(XB<;?@?c}H(~Dq z*j0r!9lfa-c!r1?+F!OM$h&hDBV^gK@ZQt%w_DC}YGU1T#3s%M=Am9vwm+6-k1_fZ zQy!Q6;t<2URa#b1F^t2{mfK0_Sj(Y5B>m74W15Tb11Zc8G>^4le?l>JP4QVC#DQ1| z7E(Y6`2Q%1fCJ&jRv=fM+>_=(*l)o8NLF?i_}rxFF@xx9h-1FG=`%YH1FwYbQ+~rS zivG7ars~Ubs>nZTN3R9vCISB!=Q!ERK0ut#7r&u&WgdDJ8GGe$R-72V&laesc^&u5 zt(^%uq=`P+jtiEigKI*8W7B=6H2|j}SjkKNiqZJp%8}M4vsWTXUE^Hz| z^6MT#pRd$5M;Q==sIdQ=6 z*WdRkR(sxo`?2jmm=lNjDz$LEwp$c&tKOCB$z%}bD~7ShQ)m|WHfPPXm*SSFC+7A? zpIv?c-Zy`L_g3`}@avJBwvS)E8N+#jrVwW%&JEfZ zcM{I&^zVA$>q~gQd#K~Y4Hk^2p*+bzwGn+c6^}R`rW`}QQ#eyUZ;*|AysGouHOq&xq(si#ne8?Q7y_R?8CjatMFk3{AI!t(~h;z@w|D=^h5iS(f<{; zDDs+L8P8vs-*^7eIB->LcVFeNdf@7SmakFnI=~(N`e)j#ISA(sn$$EsX+i!M%e5`- z3M2F_@b0dgOf&G$2?w^zoP9vp-###{MBPWgRXHJ6^3|BHcG`y{L&;wF{hhAGHOz>U z6n9&bB53#aNYDmMGEjsX7=^(PYz<;^7M>K#jgTSM%OAtTJOWWCoAl^L8AqJu*`XF zOqwnHVh-a$HKT8+OI3xbUuNbcocA=_>!dM-@&4Ry9`lU~=gWrmr%5LqLmVmlO2HMt zkG{tezmN%o0<1$0ss85h7VuyhniHPKNO->1cAE>a571{<-L$8+z8HSDN$X_Pp5O2r z1>XhIztdqn@xN<+N?b!6j?=mjT6_rg5mHp?+TgX|-P}^!o6qyZ@1;+N_IS7Ik>w61 zQi9!c_>DLl{wluR=#R_WXFBjo5_%I;_d@F1F#1!1HF9P)xxtU+AB@>KoG<}9d(LJf zO5im!c85PJwgz9D!qs4>-2fbs7jj$w^biLTOrh8)$pYYl%+pkrz8Qq~ zn%Z)+GFwN&&RT>LtM3usXW>u3_f;b51C^r`hdlbQAEunAW?@AK{rN>aj*eT8Ar55y zab@M0M!r?`dS~7B@9=Zg3R3U9l)wX4ogLLHWGC#46Ma9ss{(x_;WAv+57{kl=_>YAK4m{E`sym!*erNts91sA5?a*98X;W4^d{YX0PKM z{Cuz?pSwvJ>hO6U4t@I95I6IqR<{IFp?;OON$2O&5#XfgeLtg0uOYvw-N+k$ivhfL z*6POcQxk}*HL@K(r(OYvMjQXw?7##btH|cgyZcqBN94NxX78KC`X@*IHV!{V@XH4{ z{6{7naKG~B5qwst)2CbSiBw|(4h?RbyCrr7{cFSgAH5agv7XT!Wpel0AZI=~Qru*S zxLe28+T!mFe^lrlk|4$bzZ_E=n7#TN^{twyJi0eOMeu#0Pr=W%(07sdzAQ&d~S7u>_|1`vg8k`UEetiw{{&I#lENtQ7Z;&GrtU zqXX^_r+5@UAdk90C;g$9GwXnpi+9WpL|cH*$!3=dvDYWO=UTT{qo4`)RikV4ll@Bn zKXD|>B3Z*y7I|%=?!kJoCHUo@i|p+YDHvBqFva!_gmc`6ex2}&xP$se@Kqh!_89b$ z75y$qWz#@^Oy-7KQPU~Rb1&uD9;Focso2i2U$HCYn0GCPpuiOLztom9*!}s8xHkMj zEG@e+@YSjH}1bX>zG{f#E?xz{1 zhQn@?)-j$IpF^B%c(SOt#Hn~8#aQ%t$J}EKr#%NfYd^Ln zr^^HLTXQw$rl<_&uWIUr($9716OB8-HD6JI`5f7%zINUY&!5M=eV$hdas_?T>)%%i z@Ac|@6R|ZD`jGMQNLG0S&U>oJ&=gAi2>hFK`ehQs2b^1;75skBVhj9eLWS_qnrq<2 zGQMWIh-^oktn8xNbH^0@cA+H$R~-ehzb1WVO=8#t)+4tfSLl)l`m($0OMh{H!g?p( zX}GDr?lW1QRH11sI{|&kY%x(P_)2*HCv91CQaQ%o(tcRJP=~O8;QGsXa~=5EI-5tW zuX>UHcQYKn*=q|Ps-=6TqIm^=roNc{QDP%_zw*qxwQ7X*Zx_CQ?+Y{X?_U0l&QGks zomJZ6OQGh7qiOb@>w}*Vc5LJv?w!K9Weplke_jC z=W7Yn_o~*>_*X^2k5{e4mHn_n94fsq&i-WraVB^8)46T8`C#wc_MH=`22a(!etV|0 zF7&I2*JVR-HDTW{ZL{&VFyNeKK^C5b2ITu0$qKv)J{R4V&xnS5*SdQtC6w&N?$~HPq@m%7%z3?OC6s!Z3=Z5`S<-J zQg&f_ZiK$i5t_EQPSE?xhN3X>1HhBDq9Tg&zww;0TUAGR>cO{VYjlghQ8ysVB$nf6 zq>8a0B~R-mziSEnRMC^JVybV1^Px&FUt+t8_!{HYot;AHLoJ#w+I`a)dR(}RPjRRL zd48Rn-_|`P{A9Vri1Ey>eDGogvXAy&q#^`=LvDZtU(zfgg^yZBCc3Q6i81a=OdIFG4qwZ^SRW?k1TLcuAwaQy2ZQ zo<)_D62V@`qZ=c6T@>00{X~y<>9`jFFNcd~cio)A^JHkae)G;m-(uIsAsX!yc>c~U zpSQdY1|OY4V=pYlg*rQ_LQnf=4|tNaiMW$&g@k@6b+L%(i{O14n;4zU6TwULc;93` zB1kx=McBsGh>39S50&_KGo^37PVYA(oIChD_MI}JpFjVkj^)Ay!v2XJKO=)e@jO}UjrQpkAkOw` zOzqvmjXLr8N7I?$Ld5B|sT%dhX!zAS-#!N6Db%rJWv#!)s1o*1rw4>&Um?7&g(vG= z-B0i&RVF+~kBs5-@TcFbjCkQs$|UQHOLW20#vYOhh#>59?0hfK?r;M2jO?aVrXUx@ zxdK}4sGmHDs|~tK`|V1AJ4rRy-j_c>Ur55&)~=jih%?pR23m1%Fn?K$O*xgyjAS|U z$(c%ta;$HKbpH5E7I0H)9n12WkH{yoe9xLF`v6B252`%9^a*wJw6yhkvHtLvRVTZC zUUWn~!drO<6`R>-vfTdomj}B$p*|Kae58W#UWURu(;GGuk=j%reNV#=)hzP{&1w+d&$fkq zx6gOf_3~4d51efU9%^1tpcVK;c>jcNWCLGQ2U+gAT@|@V2|l}gXPo)r4y?<3L%9CA z$EefC-*{RyBaA$>VC~Nv_vyf2b_>tEC?f3B>o}w^vZe*+#B{%Y!KN1l9;@$C1J#BU z;DxNM9byvyf&YJ>_vS*uF$Lh&9QREI_X&Ne>HJwXlbnS27u4pT)Lh2;R)@A`_Ep1g zRi6ARDR~TWqyFwz@u!-o)7K9v>l|l<-3|VBdvR_b`UbM8GpJl{pzd8n5?0r?B8=Di z&zam{>_=#29T{z0K%SqvQS*xfGxpz>PCR{(CXfE7PSaREiS>xH_4K}q!q*7<7dE)% zg^i=WLc0Fl;rasNK-*Wgo@+O45df~pm~PS(CgfKYXL*8*>~PM?#L{!wN-pp! z_3wF#(`CV{WDiNNV@^QaN(#DioaS35#xu;dXNYjle{Mxln|dx`f00qZVtFItc;Us1 z-hL$H7l{WgTt$POp)Z?<+@!96$F2Xxm-E3D{YuGmTbFuR!7n5y6pb|I0S7ehNPX&5 zj5t#M_Ev839n9B2v;t`}fk(`7W*OQlg?y>_=j6^_5%AXC>u1xp+(TT*n^BJQa05v>UF2|-| zi(eXerB0uZ+)_ADR1bx@l7q+WJETO-$BQ0#iIRLo0 z)mPWy{&v(`ay2MTe=>m=Z#o%k!>|DTsCX27e!DGjPhM8bs8-Cnf8t24M^y7`9lVFW zX>7Hgbr<;FjFZhVe47zh`c~$)-O#}P%5L79d&Irq*K4o+=^R-H{GXIlboR}4*i~J8 zbFW7N`W<3yqqZ+Q!%v6NKI~bEK|WMU|I%Llr~|GaBO@}s9&xH*J)a6k6Yxn)vx@EO zQGCD2{s0}L5b$#*|Q+ac)qKKP~fP_s>!c7uRVsq^SV$k#jQ8bOJCG*RJk zn|l&?fP@VsiF4P>q3>bW*N!=2e%n0hzPKOP!+O4#H1K-~o*|X?fnB&C@M{G3-H5PG zoF7nTH}~|D5&A|FE%aZ#m?P|4l*(h@8;w5tTq(x3w$tEQn_Fks8wCe`D2g4CdoF>Y4dpT+~nHvOLON}vqK z_4ZoOU$AQ~wv)wPxIi>E+ z&YL>m$(x#Q%}E#n2NiC35EE*F{qUJb_Q^kDh5d}u>*li#p7GX_P8x_Co%8gH83Euwi+S=W;~x|F{M??4FS=njwYO7ksgvOsyY?IX zX1I&IoTT-kiAxCht=#OwyH_IT3m*c;(eQXN&r)t&Z zWdjG{+?60xAKq8++jXLjRYRKy{W>(9A7eJ6E?DDIxTDzs^H)oCT&bcT`x7#cu&aw) z!2O!V$3vXGz)NLGRc(qzD?kXxF+JyHA3{9w9+~E)2IMcDu zx5OK~N%hFyNKG;LwZcMQjVxhCJg-5Cfc+Wxjl`dVuk0^leyT4iIX$Pv^{Ngs>j{cr zeyh~QU%8(HE~{#w_*f}`{J7y-Y@FdV^d&C7TfNR2cyf5gGbB!LCyVu4soNo zHgox^2kzfRS(nn%4cySXe@_Ju!QYfgFt8+^Y=eH?i&+!YM>yB%%3*3&Zs4-P#9EW* zv>5mVdFQ&;wKL~vebt+ZO=SsoL1q77OD?cIB+eVMA*yzBICw>3Y{OTQHpZ4P& z+pAPyuf?jRQB?Pke|KkTvl|IwyuJ<_7*6j+{$6{m>dF}d_{aLr2|eL3`1>w>u|9n} z^jS5TioXe5#Q3r(#%Bcy`*E`CeYt}YQvQh}-JB(7@1KDm>b*-R=H&&wpKqcn)m{a@ z7&BRVt7{DWo9BOjH8$G|^L#^DVJ$uKzG}Fb&u2h zF7k>MpLegBb#yQRKi4NIm6d9aI57O}g67tr*niS}yE4vx7JZuCGM8O zNZH9w3gFq!&e96eAnaf5uDAF)`F#xYo$Qk4+K7IkrrXMseG`bA{kGL#KU_jTO~Zm{ z^V3(*!^w<2jK?&A#|s|MIOHCIo%b*2vh{q${P*`uTz4b%0~Owt4LZsOzI~ixW2-_B z;#75hN0>1W>b7-%yvKgkkn>wHic!1r7Iva3gP1^0CEW4^Pul8mfWm_`|xrg&U zNsX*dvK&W_b7$^lc*JsKu{g z*e_{%Th;ark-At91E@~?_# zx8jf6gCFQq5&xOofx2*?)>+=375L?rm|t&lzktUb=#7+K+yQ=Ka6h&GQ)Bdjbc>v4 z6!6`R`+wlpjPt_%d*rJwQC~)!sfl`K_tF$`e7I)$@~&5y|6I2gyZzgN-#Z*_BEq#{ zKaI`}C9bQ`uU6%TpffS3r~MWP@jYVzeID+OuNEe}7wXTz?;986fE&8njtM>8q=L`= zAG1+W0T+#QnzvCpWB#*BcXSJt6842s92t`1g?}4n+Z%lOC+bO+lhwZL>R6xYM>7Ei zH;}*2F3wYl>Lb6c${Rj(+yp#qb;1Vv=wA4TzVDafp7x+mr0d#qCUz;{-a;W~(V2Z% zkNK$0stx?$`MbX~>r39^`6rIFUYvhmdJcJWmEp0&&zB9za*^Y@<$yW(g|4XIbc_#S zSCgLp4>~Q;-_#$})yZ@fb)DY*qh=;|3A|RL6iWav_|cHCfj;(8F)v*o zBV*Zp!EaZVd^&Y*n z3_Iw3!jWgs*stN7i27Qd>csYPvRr$6T^Y{LdjVH!M4LuQMpnhh#V{kTmpkx&9sP}dlZNBZlJ^^fcjyWm=6A`1UBzlBMuwjFOqOGg z3iY0C2Y&88rE^$r9?#!NS#oX2fpG4~%>Kb2gme75zHjs?p+J4CqbI>gCLTOkW$}a5 zav{RLr=IRX(_Z99P2+R+HU*gfRyO9ug9&3d&;w{`vc2FtHj$Z}er)$=mK`{SbTCtf>Pg1&~b z`#c{8FMxMzyX?-PA4xce-r$LC>0!e85=GT!cc0^aEu<$gEBx5+)Sx@Za`7B+R>=^R z)e8#5(XOj?lX}sp?~Jc*l;pdMxY@6yem>nC`E{il&ECQs*kh*0MvH-iz{ibO231&o zVLt1#mbbjQk9{nPke$(9ZMAl=DoD!2)JJ?B;IyN^&GsMWHg z36q*2%gvIvyi2BFPqE$Ffz-OlA3F537t5y5w;z+x!TiY%aU|K+O)WPL`Ef6cOo!QK zSwvIKk&B;Eqi$6pMTFqQMjP|;}+^fS#|c>k3zxUCGv6UwAoPRH{eF6Q{O1%9@Hceid&Bk)d< zZ{v2^K=^SIeSy5}S=90J179Tbp9BV;ct|Bg7UeONwfGS_F6FF~!{-1oiB^oP2oUFVzt&%fo z0lhU1wn;jzN0x&a*bjwoMLtybB?8S%J6$lwRD#X#lTzT z7AH@qcmuB%Jgt_gI)ZaqNYR{Y*pGofFW@!R6n_$q&&SoxAM6B9319zC_U2bY|B~|E zL;eE}`2FFX#l}B?r-~g^;wgu)KD9wK@7B@-&z9~T`05ZyI8RRbxMI5=`u(bIFnJiN z00-sfb2>S1hTYU{x-NYFDfBU?OGJC}CDx-QhgZre9)2{1w4b{@0QHK@S3ynH?=c^h zch&M@!!X{sv_CtQu4m%&oi+w*=MjhN9xPk#(1730bqsS-;z2#2`ODjuCkm(|r@xT0 zN{s-{Dj1h-iEIWBooaAI!k7;AzTybuM^XookCq91qBm?q+|AdOlR2IRKbduM=fMZx zk+0WB6kR}$VoiwA#DS>g1q!XEX##=zVMFEUZDDBUh) zzQbM>`m?2UkVHHn~L;`VSKl@j2@Opeo4yJPg#&hy{O(TZ8$}Hv3L{euA)1f@3Q7@gMM*auTK8sRxIUClxSg-Oa8?KS7poZ#bU-@LS%C z>CfkMq309{OV%9d zJ1kE9w$*zWd2yba*oX@q)+HxrvP4Q3<4-d^p9@Wa*C^c>k@z^6IMhNMrj(q#F^$v-oX zxH8Fd-1`lU<@@2MQicF)K$O3E4zshPzpFsh{*k>Ip%1Vi-gUnL^t!a^thLrx#G%}G ze7d$($Y-LjYuw#lguZ}CA@w5)^@!`qUm1Gq9l_@&cFR7`pGKVW{bI(kOkIxoSbgNS zrxp5EBddR;{1x(-gn|V#-gfAhPwPV9PCM`dq!U-^84Jjn>EIGsPEUPVnqrwJs%sNj3m&9pO zE4(@geR8=k5?;~@Jl$>hYTyhf#-BL0qIgRb`Fh2arH;2X`sZS66I!mm0xy{KdAro;m{(Hw-^Gx7j ze>pGBTqp2kEq1cMe=tGcUfaI?@uvv9Q>KAsHIo2vs9)e8*Zf2RPV2fw%WF)iSN53D zu)dqX^ELdO`0WXNUDQTzYb%fXO(fHf{)1AOkLF)&4_((|e^j;WVtdGUAL!2pH;smQ z)H4eB_9)KFBALqU zN-n-Xx&i(x^+v8ye;;^km#HlOayH=ZSec>MZgYr}q#I{nx{cwyi}Z;J3DpSXld0m} zP0Pm+=OR4pOd2b|9|c`Gu38(2`brWv-3hMO=o3nu+FK?212`+2^e4s88ga5<|M{X6 ziJpJY`=zamQn5ondIfh)C`&o^ALO&YUOy#W)>OKa2et z*^Ue8--M+hpE<`Oycv0Yhpg#TO)2`DvQ(WaX=>p&GE>DZ*al%&g(DJjPZtn>s{$;> zhYk_yUcJsk^CE=zD;EtOyS*NIS#U1$k=u3P@0>5OGc&VdWVuqT_U;od^g*TznRC?< z-j7mtV(jJAZSYFD6Z`kY zFBr`(UAM*eGu0lQ43-6NQe!N&_vCfd!)m#tVouT_f9y9a2wqR0)6+lUr*pX8CC9d*U#<9Acr#Na@NC!iW1DX#px#(GeD(~*EO?t- zQ+e}TE%3@^M(y6e)Db5e^Ikf#`GFrG<$SwxuK?>2SsNX1_5^+`h333u{twJoP4n-q z^^XYWJ#}qwxSa<3Zrrj(KlL-_yKd>;$3P|YwP&>2MvD>7@kt$D*gO7&@P5FNwpX9z zk)M~J&%1V7gK$nG|Jg4>g!83q=u{FKx%tU*j96S#TQTmR?{_Ym`+_Cbe<0`aI6Ly4 zM8Whs+=TP#>J-lh_}@c+V*R+^`E((iM_tml@alpv=Bv=w_^AUM<|nqH?4|k~&a3KE zOpGx79ggeo){1acz`lj*D(Bkr4m^K;XuAKyG}IGGU3U})vVr?5s&^h)I*UHy;`EL? zG9|!ieQ&+3k3K|Piaq)Dh096sY>flYf`m4sPpJC!vk6*#@REf?VnS{{@K^bhCs~Fv zk^ko3;1y-R4*x--d);+`a1Kpej6t^ecIZ#q3ajop1*~@|>1)X;AHsQmhvGHwUvT?( zAL4UI#cScPi?pQQM)aSMf0Sm7Yb)gv`VQZJd`%k*{FjyRJYh8tc(YVm@y!eR&$#}; z?wrg+z-z^>&)SCWfRB!HFpu(ogF0NK0&8dNG4!qFd32ax=|f#Ar*zGvXej#9;&LvC zwm*gZ>zzN7UOdj{YHuzx72XSc*}<@7uHWNdkj&?jf*Em`&sJV)8uYi_w$3HUyK*7nbBLO)Rd<%F^;-~scw);{D)9K-l| zIu(w&;d(`1pPf`7oO@aBbDi?)9q75A(#J)^F7RqOM}G$RegS?@z4>kY*)Ql-W^}c1 z<|NiDio-%j?;D;!Mt7f^q7`_CoV{vXthLD3NGjIDW%9toIaB@1jRU}69%p`TlIH^c ztG)Pv=V27^Zl;yIM&b?dl1cZS*HK@_cpN#_-Q<)c^lQESvqX^vULu>Wr0eu!_?2IN zcABpr6W$|wHbjFa8N5f!%LiNUnBeo|PvP{t=_4_}5yqc2IKd~^>Z{FC^5VRKs`aCX zEebK7ddBP&UN7*J!CtfVN$c_Z3aONW1vT)Fxd97%>j=D7nZoyml3eta1hNHf8!QGM zP4Mj*XOlraBV(K7?~E;k^LB?$8On~WV0>GePjnLAtLlGzd->b|`0q@e6fv4FB6!|} z&@IeixPB*-*P(lzz!BM!Ex**c!K-HJPqN%TjeUb9{NA%2gudzq4vo-V%ZMWxF6OyD zgnfEZjQ&=4CA@I`N59^w?S{XpKGjZrW{7Z((n#s5$_waQg{r*~8w>n=!JCL(+vvgT z#QmX;(|UwH*5qUNo#}TI&cW$55g9*4@VocbKFXO9@}F#4JC9t#{(bhzi$@9PUFWPM zX`W#OKS7#Ep&sx>{vXG&PB(HK`9{(EH@71qz(aYM>dFl#!{3$NH;%X}Nw7~j>A|B^ zsBgvw*-f-xMLrUyb*nqU-v|1>Yxm2&e!yWx>cpMX2EsA4^jegqF1A9yb}T^n&J zGHB6Z!zS?9kyo5t)VIOEmmGQ>cKQRM?@8+GDavW^n(e1qR(COd{U?s(^Df?dkpa9| zKr8o&qMLA@ZY|42_ZP^!ix>Saee%b?x5Aymt!>rdLyO)758A5&4-~A?{|ZU-_9E^IA`RD(MRWk0+NZvMNOaZ)87M_vMHJ z`V%U)SkT@g)PI@}T77$53cX9eZxQ=o2J_gVwkY?71iL8AJncT6g#PZ#*S@h=*23@R z9s6nN;SD>EGcMu1--S36`fMweBoFj>NY(kVkurFT_HgATT1Bi|cGybVksRQ+MjK@r zMtR_Y(tE*z;;ZOKsg4*jedgjomRoG2e^Uk`Un>7@N2?SGzu0;|HjX9(`9#&v%lV_H zP$%xW(i#*fM%aHcJSAI92|euasEDAWM?EITIrZiX8}Ke=ra`-&TEot3rE{!8)OTb4 zX0G%f7*WOdS6h-WswL_NS@X%+BH)gLXS57kWxzd}Q zkKc2{j>^4G|(w?a!l z0v9#qb*;S-LpWF8&{O1{HTooq#(K`NTtHm)=vY1K?gG2dJ=HL1w!ww^NZZvj)9{k2&1lNIV6dgJ^Naj7c4 zzj81e^{>jPRaKiiz(th`^GbJ@(O+0&OsX{B1OHIFMy!o*4R|weqoO6bkI=_D-qLXa zLjPaQ!PPQvRzg4B*Hedn97Y_A6WgM!$N-#^60aTda~*icf^Bk72j8N9sYsoz|J-lz z(#2A71)?3mSt*CYD739HKMm4Mx&_IE^ZD*QHmNuYf0a2rG9o>OI7`xevN}TOAMD-G z_ong+aA!iz(IJD6z_k;M?^-)P;B(S-r=DZmfy3)~J-l3{!!h28D4yX<=ufNOt=_@F z1^sH6HKMRoK)#z`?ek4&75q)zNyUTjcoAo-Z$CJDZU5@O=W8`I&KDd5U)He2)#q>k zKJWY7uDvc8>sY$G@szI%{Pv$_CLgx5s9QD4RW{AOw8Zc2lQw9`!Op8}R74E9kXH}) zFkff;i05pkkWxJ&OW40sHsBR;0sR+Q8hwL;Ug@Io}7n!JPLNU+1MZU6c zIKfNR|8jCRdI7wWPda@!-HePE#3(lIyPXybeAuzu_(eKD^qy33mqDEdetAGhZaR$t zebB8p9|!B(6Y4E-!Fz9?gWYw-pOo%5N50XSp*9(G8uK@?tKrW{4cJkK@Sn_rY1nB` zlfqa3JKz-yU;8J%-;MkA92X9yVh7JM+U*s6pc>a}d}>*?%mH4Yb?4U0Y5PRTa`|t+ z-Rvc}-uU<-p0kHgha1aD-#5sLI9gR(r1EMX;e8{SJ&Rwwz~_#fpHPq&gPl}L)(V84 z0FTs|?3|N6jksBIF{gI;2G*xz)OPY9E(<6yH(r8W!Xam;Jti@x0o4hqn&;nv!$*DGg!2cEOHq zJk)H2ePa_QtQ_m{{p6m)<1f!6U-{E1&+wrVyjf?I+4xET_77EsPpfJY@Mmw{%+XaJ za(zOK%I@SI-Q(cdx?Sf(ssBJf2UoT<3KHJ?T=%_hUH%5tuco(LI#`hje!VTLRK0dU z4Ep)H!fIjx__^lelv?g0?l;x*XzQU(sFzgQvQzq5px>~b;k=vmEyRrml1G~@KX{>e z_WG}O-;mG!vFTycVnKbdq4u8deNEUy`P7!a%u~qcQj*M{=+WTwrHYL~ImKA-Q48U# zy9C=X9*(lGgnMM1EVgC`O_IJZaC2Tul)O3}@O+W!TxC=i{8gifjlR$r{B+q9IuBJ= zLcinW?fp`>J8-?}cczx(h+~ae9?I@+xPCSBCeh2m@Z%&i7N>p%=u6EjrruF2#Nn>8 zT0K858Dgg@^rr2jTb zi}Mb~JtoZR=7EEMCmC%$*t!Y!SXiPPo>BNu9Op zfh|$+TMhmR{=B8Ai&o{(=pEdF@n&zHRc0O4gC4DPmn$AZA8Us(|BgSCh-s4*OcQg8lFjL4dFaZ|?&a zlutc9zPTB3AZTTS-t|)GcgJA^wpa0}r=*{~wd2Jcc(oXd+TOhtzW?PZpRrH;gKD?gLcWa}rV@lXxUS2>; zFVl(^}O2VYS{BgD31 z0p32FuW6&AGW&3`&(zWKyx=Qf8p8RXC{q})=HFiW*@rMBy z4C(>dat8}zw9wx(eP!e@ohR&SWOLVzh4XlhTF$Qb`waNW^89zz zjx8hb>%Vt+Sy+6BUMJfr3Qn?MpV@?~eVoi?_^DyD+h6Y2+*L{kZ8Vqt}M;^K**X zi|aywr^jzp9oguP{q-ZqAD&}egSa#PQ@P-MA>wGWYV@A@VDx*8)~-4C^cHYI&!tAY z_EGSX%_?shn&ilMQ*6zKcwYaDSg%YypBp~as0)%dq%3O9qTbcHKTesKfv_)dRjBy5 z4mpmAQDheTZzh3{@4RGOR4s|P)w$jMh1z!bq3mZNA|IzQ|9@Wa*;4LDKmEkLmo+)O z(1(WNb%}0<@N->$Wj5D;q5jZxEOu4qIsDYH*O4}pLhx$6_hkgWJizl-553G>zlm@j zYP?Q++Z*s8fA)|rH4@IT$vgh(`LoyXOOs{0N6I}(WO?9ap|M%77v{h2hD7%*ya#%m za%m~J7jb>&sfc-v@TG$$dTrUi;6Fu7`(0@%w&p+5Ijj&}Y$9w>?!^8+{mEbJePG z*TH+w^83)={0@F&L6T&A_z&urqoT}D)dF!oK_~C#^^cm7AJkS3oH^x+e58Mn^^{sW z>Mg?qX8r9;;EhK|r{xSipg$8=j>e}+66&XKhcjvV2|W61MhW{ZxZW(6$+d$?V`O>p zY-!xOap02fscU@dM=f#vW_FJ!zQ6&0NY3812FMSpijUB4tp(3IbGwLI?eZ(n!`dma7|^mO?$aKIqdI>8;PLI1>&3X4tmycwXUxtxzOsS9Q2bW%ju#g#GA^{4-|7OuBQ72@L$BpP7g&zAhkmwrX0F$-+JXP_e*TE>d4sxkq?BErdJpyo z zGm6_{`~_E^{iN82=c}@b8~=Jx56{0`ETZOmzt6K`pU5qPb3f%{4| z;4NdUJR{|Vz(Z9OalA~>Bb?Vf8pioE61X5IPjp5>0C6F%YA|bnu&=d}LT^oq1om-u zt(tInv%v4R&$7nH?kDsY&F}wYISaoKY~{FbX*>LO_O*TDERLv`l<^epZcj&?Dzs&6 z3#$Pykoqav;e9ObA5(jsevdosC;!zfQwTHaj|sn?lp7Dh@1@GW3=i%m?4R1+a;csT z`E6D~bzkEh#HA?7L4(iBD`YvuawPBYbKp3yDzoXA0-NwW?ESK9sB!-y$(Li1edx1E z-f_9-&U^4O1uyv$1~GbWvK=Dlje!I zJrmW)PaACG2mT*h{~b^D`~MH%w2+aOM2RFRl~oay&>$-jNrfVnq>z?TDitBKvXf-* zz4zuEj=he(x6I=Ad;f0VkNfj>d;R{rZk%(T&+B@O`{Vu?SLGY{sft%>{eio|n-v{C zOS!)QUMPj*N#ma1sF!Lo%}vVLkKfNdalyBXiucc@UN(D{OVD34XT1X>h(BY)p08<= zMSn-mr5vFVJMfNaH6J<_dXTS(*56;jV~=#+XL{3Y2qbL*`YY^I+EF`fCTjK zR344-eER}8yn02&r>YqGl*8-P-qwP3?7_P)r#%V%b{cEcp3x(JOPSxQ-)02;&E0Bb z+C4+i*WiQP=ktLxgX+TX3;qwb{=fCl4|*rbql9^U)O_$Jh+v^PFYZIy=H#vR>1ajhJ9t)|!byY~tcBj-~_oF8P zs81+vFAEWsC(J7nZ`QG@1HK!|P|5$+2Rt(~cDN5x({7ZryE-R-A1OmS_O@A!QH3!erG?QkSQHc8ZgyAciVOyyPE9g*fmA$qcej-|*u5>pzuW zo``^7Pgv>}e{BnXzGC@Dw%a`Ruhfs_kJ5eMiZaGl(h*wJWp|4K7I{Nv(Y4Li`` zd}AvqZ`eB_52@sP!bP*N`;B?BA@Yrce)IE#&o22PJ}Z-Xe7>|y6?%Qd{9wpOoM)kS z8s}y|@PK`MtlPE@;yeo%cl^?)NBlltLwnNuFy@>@=!_`rJOsa0##(t{?-`tT+oJ*X z>8;4iHtwY5Q6!i7J1HsSH7hU%C&~Cc5;1|Z7fA;)(g8Hob+qyjo zm5ASe1u#-S@xxwDP*Th++F_5gPLnO2EeLbtC%2zCObfr(cg<5cUj+7{+kaEx%RPj7 zc1dUGwIboiYX4fYcm$!YB~MU!jWGk{Ig2K8T7`u7&0gqvE8}tKKYpai%-=pw2K-p$ z>vdM{BH;51*1VFaibP(sR+O|b@L$gM*V`Q%fiKezDCTWBjCopdy>IU*1QX_cJ*=e; zB*QOs46%@}yh9vYdH48Hw>;_9b<3J4QHeV^2g;f!p6$1w_vKviy_u)MYvkDf36!5h ze9&UW&T#N3c$(B%s;Sy6u_(9U{Oj5HQ>_*zZuC&ZI$kXQ6(s66BwwKL{2h_iD>xpwGhLO!eb zDPjr%up@bs_xG%IB=FO2KYH9eu-{o?AAM2|qP{FvQA)SQ7<_-G+G2RX56Dm5i^hcg z9_XV>X->2#b3@*jWHZAHokp3IV!?6-`2Fff zm$YnLf&c5eH}yMsBY%?TobczO4fa3DSJ!7lD{uq#n)Be(Ce%+Axn(8p9tFP7d9!Xt zyTSy|`!w#D$1~_>zwvR7?bg7@UKb<`u5Cs<-p$%Jx$!7r?n&HX_nRh&$GZZew)~QW z-z5v!+%VHc-Z(*A@Q70_a9X}1XN){2&bM)!&{w`!z`aSFiuKm_Tvpc=y+2Pre}Q-^ z`QUtw{XgVKi(Y0jvCjf`#`~zMe`vXh=aJ3U>C_Rz{%c%N;=B%=R2Z~yGkg~MT9eK) zc=0{{p4h(SX1EOcopNt{P*{0zK(C z*&clU0{FuMzd8X40qA|z1G#nSb--VF?kUMx(ui}@lk5ex6M?6Gq>bpVd5PaIXC3Y7 z^#RY5p~v{o(-QGlF5~gM4Pux-RX{VclDi-ASH*5#VOf6I#m4u38%tjyZY+P5uVEla z=-WAb_l=P{_}tPJeTT4M*x}aNNg2&|;ER8G-wM7)=<{jlmy=(71Kugd_IK2e|Is@C z_xC(~LyiN8hq|xSU6V;e+?{uQvCF{}`I6GVDM#eSPA&v;8FngfTd@3oZNeN9x^8h3RP-hE zE4Nd6X{*w~Z)XhZ)oWh`FIFq|VdOy_;hv;33Wb+#z|ZHNU)S(>3+jSN%Uv(GED`Eu zX7(0+V6w&M518{^SH<^{i$&FcZbAK9@%7e&(E@}zWuvfwFD9rviMJE_{HYA_LP_D` zPfafP?cZV#Hi>$IN9v2L>r=OeJd`koQZ1cr|fAadB1! z^4H)U%Kv8$_M@$lE-w|I$OX(as ze++gm@v^$5MkL~!0+-ysA{mhLw4I+ajd)StovN?5hU*{V!on!UL3S_T-}+~a8xL%N z9G4$Y47qg^cq-iEV^{nT@MfW@qQvBV!u@NXUr(kr6XIN!{L)b_JZ}|8c2Z~$>`v-C z6V>}nh%>9|9!u<40)Oqc=&YGq4Ezvi8f)z3MTH)ZJWX4t1;3X+b${tgC3vm+jz`V= zI>0lBCNB?h#Bg^n+hb`KI{X zTnW#Y8NKuQ#~9eTVva41AG}~UN+aiPun_K>%kkLxm9-Z9eb~0yM=6fr?TTnOxW1PK zPvuKaVC8)azf&)}pC>E@b|~as@xsXq$j5}7_J1>R9d-RV76HyeYY^|ce^|J%s|ESZ z^!s(Du59p|c^kO3Cie+JUf4qd_Y>|*Ph(g-R2YnStwg%1|9(7vuW0a;$+LVy-ztA< zALG*ioUf(TpWIildm)1xEY}o5UXs@{j>VLNXG*M*lf9Jy`%>TDmt%Jk@d?>+>nX_( z@Ut<2N>`aoV^-JWZ3`=p4#KZiO&Mg@$`JB5*6ofi(~ys{K^kpJG3p%)wU28&TuYeW zE8g`odJcZsbI7`BV7gmIbMBn5c$J2p$7UDQ(Nr6W&J@BUqT)FaDV>@Jt1Fa^e*$l z0pLi|56y{91YRqg&U8WSmMNaUL*XKAf!}}pNMQrxO`lNMx!UWYPd*qzk4m4KE{=ra zTyl>mIfp#}50d^n;pB(~q5pW;)rtHOb~&5O@KYcXb%;5SPp17F1Am_z%)UvF33x3z zizVViJLU+4(F^S_{DL^LQ04Ve;qQdJZRqjS1{>h7leVU>Y1o1|JMhSHm7T+g2kI25 zymzYM7Zc{#JBqu3-&1#e+a#}wyjS*{SN26Ls5>rT_L5;yfE;wp*e_(=fM1E&G&R$c z0$wG3#iBP@9q~ZWl3)tG9OO9NcmKY-PYCzzDatMm_WMCEL_0X1ZYRXGEYU2B-tGAN z#+O&73kdVRf zbs^kaOxC4DTiL>HrAvNGCT#=nQko)L7+ei}TFCQwL7f+JNLCZp|MScR&m+9Je$*xl zdTaXIO?3}&NfH14$Z3b0tLwa>le4CO5wDhP(|qOcw2bFx4UAu71^iSuq`382vh?b@ z_?cGP>3>J=U%yw8p%!_UA4Nm7?+*bS@jJYvP>e>32B>r;ep zvzr3n<-GUu====csFI5z*!B>3rP`7B=_qyBSyK3?IaVw1=_PzG3etUK)*d-OlsH=i|qB8=n%#y04I*`{+&Rd+e{2 z>prirUlkXu7nW^-BZBNc@?2lQel!;k#tW~9eCJ-j6X?DU`jW77B|v==ylT_m`q`ub z*v$$JpT89+Apc1pu2N6PfH%*izdHNvANpHLm&8shF2~?J1jFBj38S8g!e~EpeV7|- z2j5>E7r{dpYM;$oHbftB-f@lRQxo`maifK!qa)&r*qCGd(%*o?O1~G#ISHVTFH38; zaBnAYMur>z>AUan{JBqD;@+`AKJ&gGoq2ZM3G&bV(Ws;tyn32klTURz@+a}P-Od$$ z0sm02UsU9y5A0)Y!wa1X3hYVFo$cHl3HbhencT5on+bIXTBGvEvUBkNbzJr_9^gTX zw{6d?EXDieT>Tcjt%mX+KT`2;o;7?2zPGw-p?`fQ>`0onnECHEoO^A_1|`aE*x|zK zm7Vt(Aooo@vpuh!z#CCbIXg-|0H4HUE1qpFf*&gQshUi(B=AT(^wYg>5%l7ndAL_4 z@J7rNM>?u8HtA9+Jc)ZyP$2KcFFh8tT4E+KzYpEdbDfC8Sa`O3s`(_(yozGf;(wibSQ*7oVz zcnt z4`THiI8wn|)y0WCS{td1=PSI*9CsIXitO}R)W!|@rnE}2q0u?i$5+ngs8 zxLunCJCq++#K4kDT3x5|{|m?y0zS{XB5JKm$hTDO)utVCN4!g^l5N=L1o@!|ZjkG{ zi1@QL{Ah&PFrly1B{j~X4S9A-Jl_`gF6c|jk4+{yHPHK1UkA4{6xhMSFV}9!TB0tc zxzXmE$q;zf*o>e0S3`hT$^8yHb{!+k1-*$IfK1fKYE}zbP@q3VyaE;TzSm z3Flk+Sk^tGkiZiTR?^TD=5vLyx13HbAlPLVt&O*OVdtsWnPvWF;{7Q74SWYW2=^^g z&p*=?LcL`gUFe6nVesxHG0iDoB*7!+^M~8p%(Jepd)jO&xXs|#3p_iE?9yOo3lctr z-yDR#muhAnOe5SE)Kt23W*;4auP96w;c0~5FLtdqk`sb{b*a>xNRY+*m0aE&Hh+d- z=d%pI@76&dKn6#@^ScP>Z-e&JkH4INV=3g>^C~})cc|87X%71Y+~3Uq@RX?yczp7j zg|Y7f=v!#(+I>WU749)zEpk!U5{cf9s}D@O(9IyXA*x%(v-@k_y*y3w^Oi1R8_ zGEcpd0B=V9=X+yx7Wk!MZC%2W7v4X)S3z~pU;JKGjD%u&D(rHZ4r%?DKJY|6wJnDh z))MSef$rfAI)uEj*x0ThSHc|eJLRntjHutBjM6E7XNR6<_-qJeVMiT8wpATa9tfEy#vERT#{)e+(zg z{WyPQ<^iGqrs(_7&)iMGDJ9Kv_r~vGPD<_;o0X51kRPgp-l?ain9Gy?o9hj!4e@tp z%#^6@C-AV%b8HspZh;r6YntElrW`y&hp3#vuNmN&iqbFE)C|NQ8F%ycN`(HH zJeu=g-GK|+eUm5e>!OaMMa0>#`Xix!&NVe*)(HC7`>Nh8_&4OM(dpv8i2%a>EIm|8 z|BLVMzFzcv&wGNMALc7@Nk_d{CAmw2)QEVK?2<=4_yG2?MM=0b=pyn#g={%8_rriY zr{`m48~o7!(ekvEbFSBEbzN{d?yvGMLS67antFE&TgcNBM=shx@Zh;&Gqo2FfPd)i z^NpEOY=?YtGqb(951z2rP^08F3-Z@NPxr}{`y>9S(VLyx+6vye)ccuKZ^ncF_>rNJ zGMir|$fGC3{0tt8QP1?i%yHQTax|rEw4e_=+_~nfgWeQ) zowD|WMKp)NPxpnH%>;)cZ~RH{yrEh;j2@xGP%w>E75MVL>+ z7`^q_R>W&@tXlfVHbRf;Q>usjZ1H{}#mzNy8>p*ms_wuj?+WlvUX779Ino5rpBGBI zxe)n=GUqG&e-^{-~HjF3xS^zB>jzuiLe@U7rbcn?<#cB(Cuwp6L>Np|$A% z{@$}SAdtfic)qkxK=#y37WCr9sBc0w>{<`Uzr+KAz%$*JyTUyp3HM#R^K2I9!}%9? zSaKdtNB{7+j2k_@M9HMBn5uU!7jAD&v?~OL+BT{F{PVx2soqAwVSy;6?VDu z{3PX(KjbMtYny2Acj!;~!o|V`V^zqbH+^8iSXuF)|n|wOz*ZbQ-a4+=kyHXOax} zKS2Fjz0Y(mxeD>=ADPcV{*lN(bSiSZk^KmHDsys7)2)YH&sL%j&u*VegQk3UFR0;~!4iVZwZ6XUSc(Gl(}c zYHijVv?6}4l3Smwe{KT%S=*p_CknrplD2ab{3qJ_0PmH(gX5LdTku>I)r*Yk zFVIJnG&d?1(SrAIQ!{YgT#UZL>RVY)Ubth9M3JiCr^IA@U&0MVwI~tzwfxODG@fL^ zkJMkh9`&pUcqs3Y!D-X&#Jb7YC~*VAT$JOLS~_vS&*^K&CC(7=XU2VV3lkym;VD); z6(?T9ZYA;G*H|Y6J!r_XonPDwJuF?m*~2?3y}C~RRoPn_3p<~$=o5A~knnx}Dq;ss zFsGsUMYrkqLF6BDWpu(sQn3GV>o%Faw?Z9as(SJTA#=!4o_>Bf!(a5Tr`4Xx&v}6S zOOCtDc(EJsTk<)@1Dn(_cQ8`BLQ~rq???8E-ax*Lcp~h$c<;Yq=yisdg2ARB)YF$f z5TV`q7JAZPa+SonCwS0)Ew)R~htQvrT&&zHo@t8xIj-{U zeiPVf4}W(yAODkZYIwM{2LI@ zg%s}cwH`p7X;$#AA0p|9m%Enuqu!*TUh0?T#XCiI;N{|S(n{S4^_|(nU!rf(BVGvE zJ*;IQj?Y&C+l}Z=wE)+ZGXkXg!;?aSntPIz)R;<2fcr`74KhrVyWaYBkVUx_t?1L3|Q$FCyS%0M4l?M#P1)13W;^p7EUTZxJ7m#nomRi@_ zdA4e0%o6-2#ZX9LVmInMGe>#e3Z}x2=dk8n8#4i3Y_OVS?=JxUXgM*j?G+9?-@4&~ zaLPXLrRlmB?eZ+>CrQ1vtAvyeyVUu2$NhPC;Im4`V{Kx|ggN$t!Mhzwf#;fxZi{v` zz>XCqs5bE)#`F5Av~7I%7s=h| z#&O^YE0g;20ts^`N3)9+ve$#(p4=|$#Te{@-+v<0n!F2sC9hSEPgV@S*MC=iB=QIF zVExXmek|)yFEu@#oI>5Myt=LuA2NR$2i}L`n`iAe2KlIdtv>9>1|F>X-3GR0DxvOz z$^M$pB=FqC(d<_bO@L?9N9(ulO+dZRd)jk{_SWUBu8ZIN*w`opeQ3NFwN%@M^Y6Aa z`rUI9@p`u;Gn050^3LRsTQrB-Od!uoCFB31AP;H1aqU7(h$p-B4n93n2>yML!DqKf z1MFO**ADZ}U5NK9Y4{bdwnIMB)@FR5n};3DrTz_fD?q(f=B(O}6GO<;r_njGNq<8= zV7-eh&v>N=T!%Es#{{7lt5u8@1z!4LFyzLRrGh2JbYU_<-a8@zfO zHE?-p8u1q;?9>lB56Bzkj85dIoru?(kF{tWlOfEVz3CKY@d^3U{F`lTchpI%>mvmOJk=^0$p2k4g;L;s1+DZC$^OWI~Sn`+=R z(xb>y783G_Ro*v6HmM-4Xf3>Y)$aB3fBXoEj>%fv8~hm6P@|zj0(r*bpUy2SCt>#* zf-8q2oPlp!oL#q5qamlId+tz76QD=rM2oQrCE#U>`+BeO7pSuw&y-ajNd|vdWpn4^ zi!ZSA)k&p-?%YRK*HP_GVMqNC*R~n(h);W=PO>I7t*U(;@Jr`*bF!ovvGUe z)XjD3Q|X67;b%x!8prtva~d06JRSPyU}uIrwBl$F0bh0MC|$JqfWLQ#RNqh_%%d5h z*tv@n=7auZke5ykh98a1Q)g_u4}4rjWr|D7vxVF+2?ZTkfSe3fnb^g1qyMIwLFU!# z&~}_hgvU<_CE%yp9MUM?peg)D?ycE+*LDj+YxORR$3MjVT(&3SJ=e*S=Fz z6q+N<-`(;)_rVX~%`z>6vLFrE(bfuiSK4#HJrrFVrRg{poDWYK^S2q)IrMo~eXLJ~ zJP+u7Z|}W``oO_!FUqX@z=PBsJ2Sb7gnFC)b*!qleW2%EVm4epOvndyhX=gmR0f~l z@5br*LzysdY+^56mE#ogM_+5~17~yWUv0_Pc=CPl`$O-SHabV5FScL(_dA-Ci07MMKJBuV zBgAJ0`?_um0pAX=-YTpu_*S_$|w^PV(jE=BsY-&K?K*OFtM-_dMzp1|G^2mZ0xUfr8IfK^}@*-x*BNT_W_G7ce%3^n-V(Tg%>6`}QW*rYei7 z?XU|Z^HRYSaqziaf=2Nkh4{Y2v44L;PQst&EOAN3rNWMkY?d_E--NtnqrU*<_$Md4 z_r=S{@6sXeD(Vha=$8V%DC3lCHArX0d+Yj_JgY!IOe5RQDDJi3^Jfgy+IRD!KB1}f zw8V)d@Gj)Z**v;Qd|$0e>pSzS@KbI3hdWMRB`qkUNU+r?P)@Wlkc*OXkXEEpfoxl%~9sdCjQLYc)E2wrvfePI*hq z$JeJJ=Oyb-+6S*ee^1B5;b($Tz&EvQ>7|Jx@T1L_)cmH8fj4ZAb+2jSfL@O0b!fVf zP_a*G5s--{|;F=h`y- zZXSnW_RtLCt*-8_yVENK9+E5H@$LcSPs->8_rH0C?<;TV8{}PsJav}Zj*Tg7(C60P zl`E&2;K!;-5<*wEz>c;l{R@$#Bj8*&cTT>O;E_X3U-NO*OsuXabZZ{1;RUbP?vY@+ z$pC&nZw>E(^=^1xYAm__aT@$~m&OT+YFC_p*Iuzf^ZL_x{x@S%{mbxUb;mxmZ8zXv zT~~CTcQbqfKBYDK&7)1`;B#Wrm5%MaLbylz@-fZ;UaUJOKUsRUBEHCr%97q&2|l8i zE-P&_VIK70*|hZgk%$+2C`U$5g~LzRSk68^To8l(36ONRP_(~_@ z@`SwRzxN?-u)X9e;)i|P`C>N*q24KeQ#QjsZtw&-%xaQS%)pxs(naJgCxG`mME&?4 z_7ds{JvT?}^TWB-x@Z_1e?q)dTAXYDCl+z?{K+#LdRXBvi!=>w_O8GVPtmh%b&iA` zs4HLNdBP0&kFI!;6Gf*`|5Ur#cfV=}@I!(%qu*f<;F}gfj#m!fl=1(^3UjtP*%YV^cy)c*`@`2Oq0W&FM4d^i2x^@O_6 z!DE-N3&PGMpWpl0S`L1D#_NqkDlIWSv6={F0e)&px7krbMg7i52CwJICy1|l8dA2~ zeSu%>?>x07g3vEc(!YHFYuwG%^;nsmI@>u{cZU!&HvoGb=?s zVZkL4(n(v?%jJDCn2^{*;6XFJZ>QxUUyRRjh z6kad<0dC7$+$b$U1&$e>P(RGWm<4&r-W%MUgZQB);euxP9Q3QnSS{jeF6?$`Khqh1 z0n}@iU4Ol}Z43UtM~c-c@Gx*h)APXz1~JHI=i7ZBC0&50%hR>HKQtr$Yi1mgd~gAL z03}PWA%QU0v4`i>z2~ZkFDTprdgY%~@pqx^3Y{lW|CkoT7SwnTcE7CN;<7jg;hwkX zkZztMsB10ScARR`Md15yyBn1~M!eS9Hf;Bo4LE|zdGp|S0qjA=yu;r0+rW!ab0)Sj z8oS{8cyAZ?1_B4xN%R^pv_XCf!gOzRDd6+*&m{94?t-VAzv2|~_B;IEAd6f`{0H>E z_hw(e71|2kw`;zz+Kzzt>)f^Ve^~(6HP}Y*(XS))Z-pk_e#UjyZVYkIQG;A}3jO?eS_pP+>_nh`%?aqi`0>I4J$B@wx)Mh&q)I~$D_(5A_#_&3 zrp;@O_(4Y0g?9Eh{Sb^K^k;aa7EN5i|Bq_jVD0nXP)8rdnPTU-gZOp|4ChO`I!LTWVl8sEw%`D@K48+Kc%;EKSW#fc`G4W z@ZZ#%yqObk2>Av+2Wou}^uBI_iFdjk_^ws#E#224=yk8jBv<-J*tyw;>5xeY!klqV zj_~7ksACwkDl>k42z`%JQMNIi+gMiD`4_I+B%1@D4o7M#)7Zfe=G_=|Pt?Kuv&j<$ zqPKRTPQBqz<;x8dh)3Fd==-h-oQ8ZJ%f4X43BGzXsa4~YAnbnON1?5|x1+9@)ZNEq zK|wr4d9B!eqlMt-dgp)J66Sbx-Blu=If8uIg7JuJl_>HRoeVeL?fDJ6R8yb&Jn{s1 zlL^DCjWS=`ao&yla);XC7rO74SsycpAMHQ4Ej^qtm!s!~u;W<`#GhT`LK*s75KoT& z<=j7FhN>!4zAU8-|5HiTw)3FN&cJTVI!#bs?T{axb_w7T>IuXw_RVt4-c9P zJxxeP9rnnXh;u!&1fFd3H(|M6#Lr`YJ>Gm9K)=FFn=B<)0(QB>F`oS-8S&9f=dPd? zA>iThA1a=FeaL5|(~WI1dVu^$lTyaci^h20=@b(17@UmSs)Q8Mx2z4Ll zYU%ncApc#_S)ZdMA>WIXDV38~A+OZrZkG1}z@0sZSiDnKVDBb^_UO*8Z{RtnrT9Kv+JJbdn?H8$jsbYwR2A+63*4x;qz3MgHr4|lF=HXtzTa!d zfBZ;HTB*~tJlK6qSwt zPipafDB_H`p0w8LK+SL9gYcbae?*xBPsZ2B%jC`>uakR(Gm!Ty@M)~Wbd$prcq-E1 zyEWstpf{h&FQ3hS3cbwiWYzke0Xtauxa+6KBgA>xFP3a0KOm0J6w3IulaSZVVc`rm z_~3`}bc9JcUe{YG7H)i{~Lng*Vy zFxtS%{4eZ&J$Hb>kJrF^6}Hh9v-7|kd3;q{Kcqs=%Dv~#oIe9zBi|}T<+=gvWLWiD zpZludmq}u*LcRl#^YV8h_qI7;|4QmEZcZX4c@ECkUi^9WN!YpCD1$E+5|~rc$8dMf?h^)y$UIzH}dX;l#%7lA=b3?z?hJRC>Dm?nzm!zOq?2|iW_A7Jtkp~t8FdS}P9jGPXTckl_Vj45 zG(bNp&7#{?Dp1$m9vdszB?bE#cf4$^^FG*vx`4w^je?3R2A@g*sOR(SR>;^m@vGmk~7)6n1bBtBto=x4WGRON|me*v97KicIpO%U$BM#*5+5fxM1+#``KS! zcac30e_9l9Hc$C~VbA~hw{4Q1`X#_`b?Mx<`yRrsG!*PfQkp`ZvFXC$(NH1y!;&=$ z11a|rN7dWS`ZGxo{KNuJUwjwpt1{{fuD&&aT$iUY`^=Pq2P>+IV>>JlzP#XXqJWMM z^sHG`qIB(|4k) z7Ez~~C)?Ru5<<8)*0cB6uY<5lM#=QCU?jSBhGDHy!2q*GVpM9X`pn=+X?)A z{W}hZf7qXM^9l0sX-#^sJkBT2$a&`c8{m$vhc29UA7ii zkpCG8cCD3DMm*dQbL%dvFz|bU*`HUvguE+NO7Nc)?K1W&Sl|=~E$aR1j?mDRea7<@ zO6vR=(#QVQ7=&=|JOV#YezsC!+Jomy7G~b7#EN*QnU8h%)*|rczrv?}oOua5T=dNQ zu!=MIjDm=#YDeFpPBkqz^;Dt?p`YI^a`>qPVJ_iA^L1)ZsE|M2m3`iA;MwXJoM}up z0~fRuC3RE;pbk3mO-$v!i-;fcF9fVHiw4fiA3Ywq%ZO0l_*XdYbrbR-KW~a(R`5eV zOF>9jMX4j9ueIqpOZI-?nb%Sh6H{76kG6J?{A3FN+# zFJa-$&DC|8PO(XU6!2tGadu}~HvUfHed&H*Ckt}@{5D}L&_*{-P8eItL9s5<+0$sTqj>t6=nm^Jc2ZJGz8+sg^}Z0@r*Hv6fJ z_g`}Q>AM;Eu$u1%g=*a3RZ_}@YhT0z-*@g2t7ue1++1#b>i$kiO3zy-wUXpRmUaIAdgEAfMwRp08!upt&N^c6D9%F@5IZ7WmcN)HPF< zj|lx5US13|tgutHZ&{elCZR{Z{oOG~P6@593vXCYZet|W{Yt$&mGcjI*sgm<>v{XF zaefR8b^ht-107X!m>VMWZXab=QkFU9BS@G}T(!n!ukSc; zW{z<8y>~5;pW<}y>u#@M2a8^+pWUS|jql43i~C8ecZ+rL)KLZwB!`O_pEU+9sA5w| z(XnD(U1z*Kprw_AdabT#^F?k^ynmv+qjPLB^r`jDtDr4%c)!NehMbq{S@8S(*EqX| zfcKjjNs^PTi2tWu8J8lh(Z7}HttDT7l8{f8Ob=BeBah!;#UOrW0P;=UGa#7$zwrM5 z)o+);CzUW_WPz-CU;KsSta1WjQLc#Mk*WdVhJra1a>lC@Qb`Ejk zl-;RK`GmT=CXcZ8eskDilH&Q&e;EWnU}&zoxC8m3+Lxcye^o+`qle41_&&ie%;?o^ zOxOiK&@wtAwD1sip^o#~l{S0CrQ}Ctln5o10Ny42`k?tP9rbnH z8Z2u32dZ%1x0XWUMZkCGofeL_CFo&Y$-{5*cOfrr`>yS{EAE2*Y-|%*5rm!3)>Db} zJB2>HKLhb?9q(aRy5=J`sQd%Z)S1;SA}KWiIe#Lu`Kc&yK=a2+`W_3!W2H8it3MeM z=J?pwz7(ec?&!LiEImp=A80kza{uE)zy;K?2ONj#qE^>^)9Xz|i{VGAVqTr|`$xF1 zP;;M*?@jFA_!X*@vnlE>yOVcy(M3Vua_&9XU+V$CJ(Q;_IFv`2_x#OA-S9o)hc@!R zd)$i1XZ6!Xy3(FNJy|+KikMv{@{z5z-XmX9!FzSo{c<=@sN?T)=^FeTj{T`Of4DK& z7J2{1*h`82cG&;8vke{#C5TUJHXJ!{Za@5Ffl(r)Rlt~2@ieY3S7 zuSpe(m)>__|7*+dT0d$)zeFpCNr`qn>|UaP-{$wf5HB@c&iC@_2M;eEQS>BdUKfq?+;pT&r%e@|C2UMEouc5>HzoZ)o{^6j;F3u!XNi@udZWd&r6?< z0bfY{!t~=Y;eI;Gaf z-FLy+%NTaF;yRCPhCN}vk7n-v=+nS!t%{7z%;ot1Aw_xNB3mUFhVHRdq({%tLAz5@QaV9vI*hZTC%ozM9r`7n5@+EdQ^Te{KjIuI!l?;?lu zrWzzzXQn_eQX7-ouctxJW_X6fsykpuXE@`}1{}culj6po9@q%I?&`R^;a&uRm-6_% zPvjEt`FxNe%XA;&r_R48$BX7%R@X^?f2zs*AU{Oi!el2w3*0c5`99(sl~9MRC3HWp z@FwaCbmBy$li2;X@hF{%2`Umowf5N6{M-B3Sx!1aauf&1(=GrsZt?+b6JtBwI<6Q9bJDJ2pSh;+sdmQWV|oO%Bqq zYi+ZBY!SZ^k5+E*R@nXy&s!w+*ln!@`eJL1_BMP|2aXx5`yn&jfq1QL)9m#PV#u#1 zyl|9X7sj=^?kUQTey5FmT_dylpWnf-UnNKTy{^OnSN1KZQ3qxqUu1F1P?aIz=!VD) z@^5CGPkrXA0lP9nzy4ObJAaZ9zc;o1t#8}0XVv5!94knhvtWSlH{!2+mGTc&<#--aOk`yoA>UBz zIe6pUGx*)|XF~TrZh;=>i0;z*^bvj{XJ>S;H8b>}j`W)0od4cTCw%i@^eYVvE|M8S#HL_j&^;{-FRdz&YSwD(!BT_ z^ge&#^syIHz^CQ+nzHm_f#bp{U!;zwuBy;veeY z$Y(TqW>yf-4&Kvy9~S`LV7ltz)XDew{@$a18AW4J?^Tg+%gNya{FX_}x;9(`zgH5x zec;eM_Ja~`#CMEvk7&!mePi~Gs5`BQu09g>M;h|*z2VkrDaboXllT2qI`AeF-4FEk z7@^*&`r7`i)@tyW*|x=o`83e;Cd>W*dL{9Fm1K#sKP~uted@}WuOa9+YTV1+!aR-m zt%8&9jE@EEOixIe7_%?ryW>ahWFQ&wP+HnaVF$u|t(spyBY30<_XsonqwR`Cok3a! zcTre6VeU%Z!=b*!nAP?8O%JEruYi+sEEO0!+Mw?hg$?J02z`&FwVWI2Bg{XCs4RS)bmzz5XK-c^>{k9d=mOBc0mE1s`L z{B+Y(R>X58{))vWBg9u7?T1O0ozUm5a?*9%caZObYd@J=%n%C*0 zYn;J*QWQ6{Ee8_jUhdv6_}U4-Pg(l5*V!95r|XJOZ_Wg8OFgI1JvURo)pc17zhS`% zynoM9fL9n(@PGVBdKTx(WeV)_1aqc3Tny-HVUrt?{dG7NKJWww)=dO2qfbS-KjW_0N5$=zu>2qIlbXi^3 z1~Qy{#0>ns81UVtsSa^;55wovFQTz8-Q7x-I@5^LSMKU{bBBUI?sS^ejXjR~vkuyq zbocw5R@XBx&yw#%Rbij^(wHi_AaA#5@FONx9lY1jA!G9-cI2%(FZ6id-GJX;^0#_g za1zfunVLGY?knu(cy8u*&Nax>b!YPH2SuY!Z~TnUK!_pmS(9kEYs_Ul-+b^p%{mg^ zugzfcg4#Fai^lDZxi88?Z%1shGsQcR_w4mgPaA21ogG_JEu$Mleq|)1u_!MR`K@vF z7KZLV)CH2`hkZg;P>(a&FEOEVKLFp)5ckP?H}bGCmA^+e3&D>y`g64(I0rntym;9< zdJ_0;qH4#JXZKM5G81>FS`YH^@3Z@LR$Ab!V$L0D5`_C6dzun29ZZE^ z`X{9Kopn3vHo7{_%VrVss8hwPAJqu+*}5GI$Jg|)%AYj-iIeU-Xpy&G7)Y{YH%9$f zcU->0)IH#euFxY(vA-a1lP@mDowLLFcX6jGOguy%=*)td2F>uz)pbpdv55CK@CAQN zsuHSJ#~f=^x&;Lq4SW37r(fDbzvFeBk|QW(7Yqa=ncG`xK#0{LxC*$qLxxYJ116 zforj!q}2TlUmSG)<3}o01vO+O2=|Lr25D}Hf?eo&vTaKL7VtrdCEN1Oab2v-{l49P zf%>DGy`Q5K_b+3gnBO`+i^As{HcNeoVFX^y*7?irSPwhV<6iVglE6Psew{y&#DF-g zruIOmBVk@p)3@EGcMf9TOFd^|Sl$7@Hf}z1hD|AEb)787H+#SnpRX>Ntx=yqd_wN} zyo<38{A_d3;PR3H@Lq}Zn)qeH{e~qTnt7?sh>P2tk4Sdp;P?Bq{TB>maBhW^v{Z^A z;uo@|gR_@7^0buOKjlP^qh2HDT@kx_9q`GZ67?;!1m2fiZ@i0L&17|5{Cb7jKZ^ND zsYcItyh}kJQq8=o;Ok7_o1*8r545fk>eZx#uYG-v?<+}?-RFM*yj?Xz(Nn8C@SAx$ zuU&?&!w-dBur8l9f_#(;obNur261`JBh>_vWyr(CC54-lB-G)4o9FHK+5|h-VB;G3 zv5qhwXiuJnb0O?%`IONkHf`u(e#Wu&*DMiV*K`Q_nO#AhCrR4r{-<2n-J+EPH~!>c zKkNKjDJPPY@qX?LYa1V8UDK&uImH6}Ud?A+EV&tWuvBCXhm9rVEiY5vfqNJ{W2uAK zNk2BieJcx@i7W%aT}}UTYiv>p^K+BF9?gkB9ZGSdb#m)n`0xMQ8HuemvrvnuC_(<;#$N%1zTD_HBf`?A=3`ewE^U>SLW}S*lUr zHCFm?o9s^D;YpU?m+Zul&usdWw3m7fa~t!7J%|?ycqOfP4A7_7 zQT3Fg%mlpds8@~epZDOI3ercqzJEe}T@{OU&R^2R>N;ilQ)tUt#OqbdT-r}sAs;!f z&yZX%qVAnEU4GN~7`~76-D=mmHHgO=B}BP;&mo?x7s}o8Obvdolz-o#&s*@cP2o*N zafJEkty{EI_DB=vNHOe`_}&3~Q)}|Pa90}aXJb8iQHveCQ>2dg-H}xENf(4pF4tZG zj&BNX;X0y#_v<>k#wCjt@nBsD?{oXL=w~k?^CfJJLA_w=h+56BgF=vxm73=8TZH>% zE=XHBsYUwaZ{$~E2ftWh%ZKVE}smW0PjPVGbmDaMjc<}yl{rXDe&0?Uu%2WtI$6`T6}Jp}8L+q_53G;=7&dF(rz-~l)yX`X~p)YPMGn?tv zQ{<<5vKgpiBc}L#K;+OrSJYV-Z?t@U;|1_!tJrCy?4x7QtE%y^#TA_2LTZPR@JP(+ zI`8>Q<42MB{;rOyPYyNMe==FPiBW@a@2#{N(23hO;ihx6J|F2IfcNhs$K8HC0J}J4e?uTj5_YCD=XmWgCqjPh>4*8Bv4|&I zl!N~4*F$~VqQi~>w>;Drb;mMXQ&dEMNkNt)U&|6cKj&orJI@yK(fq3KZe527_ABrv z>9-B+&H(GTBXkFVg9hiAekF`mK_BA&mA!pWz%}0zVjDH!XR3pze(v0hd{6C0hv<{< z2>tS1dLzoB@O#vwiho9~qOY^fz-XrbEBO3go*OX*x4{$lCuT-&cn^D0VHTSsm)(y2 z-XkgYZZqsK$aVL$v$9pyE6L;=}J?rCoIg#T@#eOhP z+mA~iUMLXVQ!?L#Ja&E0`XKrg?04>dpP{JJh-dn&rcBQd!0+^O8S_N{gFX$}(=5~% z6XujWqtr7iqMxp3eYNAfC-#3J`=0~t1K_Sc^54g&w?m$X-Wr+NuoK>gCPQ6`4Y;nw zM^EY2S=H5bseh5Mv*FDheL|%~U#Y}p? z19l}r`)$eR+cB%_r8vW@#d3uE(#a1rY4+pXYc|#W$z}!~Y*aaz7Ipw~lmF**#dk)` zT_}8D@PhXOzOU}y{?=WD^GM42Xx|ow=j$B!dvm20dGy*39wDD3{qTFAwx87bje3-d zH{VF9;}%q(__^GGd!T-fU1)o24t$v`{dnoX71U|O_0P^p`xE9h z-S(bxW&>`kT{`+=*9-7qwE=5c<98#^P3HXR|EdFaFI`cg^)8{$t=KK${lmy3tLv&? zNfj>lz=M?;TJ*#U!XA|9r?DkdfD=oH&Ru)*l52GxtFP#zF^qV<_Vq8rYqH=cN?87k z{(XpeuJlG`CjA`Z-CCC96mD0%-`5r^dFpTExpUO!Uvk_BFPgBW^ggo^c=nc>hU$1i zzt-rhcRtC?ke_-Ljh-D&(9g2TIhwxB!0Wl1l)PWhppW&Hc~{O$z(vR7N8xu#;xXRI zUe>GY)-9S&<@}~NuSdZL8Kp4qqa@8p%CQaS6aP7Fv168ypN)M!QCal!zjNbRXm{Bp zgTF74+ctF9n$VA%biO4;N{vZA-t#j=e`T#h$}1a9KQ8W40ycx8Y}%;LfvD@72PUQA@r&?a;$oHFn+J} z?BbigaquElp80jQCdhmCGIVqd5b$i>nHCCpo*R05;LY+;Pwab{i2bgKSwbEwea-vC z?fAWhn#PE6GVCasZJwT92>7a&b?Sr4o@M-9$L?3;aoEL>z2y7Z_rbrWYBAe>yM*Vb zJT1?XR7Sj1wk~|$M-X|u-mQsj{#St)(>5HMYM(}YS*LgAn5!h}q@&jUkUvp{_$Br7 zVOtee_=Os=#h$4UvP?3ci3(&JjfeK5WmM@t_7f4A=S4?SOd6YtNH=PCM; zkT?JNGT|{d{MKOZGq&}7@Kap}(|fn`q0YF1&pOj)9KY8)v*zsYAB4F&A2qZhmyx&b zelGNbQxAB!J3;DkHUr|lTI15<@nPgkN`AB7>RJTfoF8gAwvGY3SnaFeO;uZPo;gKr zVw89AJ2{?y`ERCRw<_iSa$7kPc&0Oc4nAG5D<#zQ9y(9_e=L{!@o$=lcPUwa$+A1) zr&|UDx}N<8Z<#tM*SdiT{5zTBYuXtL___LqiK8a(z)M$L+4yxL4)}d?zwo=2udsV1 zCpDh)hCrVRSRd{YxMs4tp5YDZw0i*gD7|Ij>P?v2Us^h`pWcU1AEo-}Qdt9`f9bq& zdk^8B;o5yx{WGSR6H=M*V7cNk@=Yt5HH?>hp}&PEI@gNlAYM!G{@y~*55Jmo*HSIg z8N7PY-h*qx)*w&c%J6}){2lZwNp$A^#y_Y#X*hG{qSHs!)%Aqq6;8=oLf>hJ*U9%g z34Y^76<1LM;l9s}pRcM-Bc3hPoBH^)3i_U#S3(o@9DcOB-Z@~$5b}@3QUx@&Lf~Bs z=QO7^7V-U|jISxRGRP+u+Hws~PQj1XU#2(XrGx$cd;VwSlL(>z_>uUWg^0JNmaWnmm+N|b=kuN|6i>C#4c|$ z_`>*0lq({Hd`ETpBi67G>`PCH#df35IH&aU)#qpr!_LJW*|?AIIQl`;8FegvC?a2y zDHjksdlEd!tb;r6B@@E^29k**{ieY8jcVr1LcG+~wTFspgZw1&nz;)5l#lZxkJz_^ z|JgP+4; zT2MYpszDDUGhQY8mcVWXrWOBv`~c^bpg-Ca6WIs6XaxUp??K}BAGND;MJRU%O2nLQD}7?`;b1>HVX2R^>vd1cNTs>v}w%) zp6|e&b=|kW-k1X}t$k-qZoVjmzgKhIJ+}$GXw2)Z)PuKyGpXuJvgZyG`bA32C3m<0 zHz%7re))SE{Ti7AYXi?JV1Fuvb0o~R!><(Nyrt&X!S8o$oGz?z#vGxtqE?Co6L{%P zvnzjtJ|dr$!=L2TxgYU-k1Nl<;N!60VI^ZRivx%Yx^#Q$jII#wXGuHndDt8Aaz%@L z=Oa(T9Gb{v>m*gox%&Dw$y+oA_PqPmzukQWo&WJ8y|unoMN#nYQ<7@sN2(yF&2DBt z-KtHnugR4{tl`*)CMFA$zw3b4#>>|6(wiYpYWQyU;7SJ0t$A<9Y@sdmrf0)N9k8<~OA1>@&9x(Z(ySg5UA}!4Tsnd2~Lol2G?~SJ;I1BmByky0@CY1mgOp z_~_?-5*qWr=UmE4v$r+fxrdB{f?bdoP>M1)@ar~Xa!GH)6_xkZ6@&V z^`bugZwd7;f4NUys)n7b66Lsly9YeN%xKrue04&9LmIP`UNK?rTw(W-%U22aLftwM z{iOwZJGg<3$wUxwdUMa;XmLKs+ZYSKuYeW!?%$e$=1SG5QyuaSYrAw2ywPl?mdE!{ z@OqS;{65<5gy*5#dzkwOc-HQfm~UqXP=C{r5)pnUkacz48h2t|FVzp{$66#Ms14ln z=eON2jwayw{?s^nySIcsvzs!G3PCu}X8BJ-eKn|iDE#!x;bsQxEcJS!k?Cf{tG#(9 z2gJ(8u)mAdD$nClH!!PtE9v10*tz;{pIySq;7takb1#i(Bj40ooKn-io=`vNK;G`H zfb;J%i57m4PvD_U#1 zL_XL@Y9Zg*^o6my_YUxN%PEGuschh~kq<@uW@UsqK^yoUJtp1*zumJzn^pckzCT?ij$UmT@j-Dw;r;P{z;%5h z@vn|pBA-GUoLZLLiT`hoa8j<2f#2v2>gDTmf<0{L-X$V^m2j`|o#;bG*TCzwE^u3H zlZHKN-JMyqnFly@@rbW^L-K#`A0gdP7+rfAd7FMOE_K@(!u!xKDQmdf)Z-gV9JQ>Z_){ zauk_PBOYifR;&BS0>9dAV6H$TI5nTH}&`>yH56wuJoq=hT9Jf|2`fNS>Yam#*P5+^9$e-{ z9YOc4-+sa0z(-Y-Jb0-jJk~;{XmAEz4&|dg{zv!8M#;21M{!zwoBvv zx{E$ax*dhx>I;s`VV6Ljx7~e{#O9~S&kT6B&%F^qzBYC|Ke}2M{Ws%VHr{Bp25zh0 zPtX5U5BbqH@|e;F(Oe9m(FUZ@(^Q+_Ast{jMd%Me21RMv~_Ub6=bNSL}at8v8^}K8C*vN-_QRcM*BLydq}dv|7SE z`?-zJxrJaSx@(*MurtB$#0beAG!THDBh8BX-C%^C)_+U>-DyL(U$OP=HNi8m^W8c@ zrHuO#?^K5G$r*J;{S*1=;K$B#@L1g^x19HXMToa9tRd}Y1b^B5Tk;RjA?QudS_7}Y zJ*eMrVPrq8BZ@vm^6L(dC1uD>$=JDiBOb&yik(R3Spbc1_CNz^Ok z88e0BGJJx8ze@~G^)F-)?v={dx=_;&yVs(y_Ph`m&b98AM_Tz)>_^RqG@+AWz?-8> z56zo85NG%52z*VD1->l{8xFj44Dkt7yswG#1@L*Ao2tFKBVm47%#WFm$;g|woOO?h zd4qt1*x~X40p2~w z5nt5b;XQhO82Z_GBY@58BAO$hWu6iXB+F=&!HcK!j`E&-4O2;hvsu@-T@98p5eYBs(^f0)dv6Eb-mD+8d+ww zct64%6lQCki6G$Ifv|wPuR~q%eKK!Mm%L%GDC{B99_)VjKC_7`BLa_Hb!s2Ue-M3* zv|_<));(A--I)M;)m?CgK7Iyyfhx{5m7iUdA)l0=1q0$Z@0fy%3~nUYhkEw{ zvsaf^{^LhF4l7-*Al!?RmGZLtk_GThv-IEgn>MTdS(>KOP}Zgze0?9cuBPXEJV&#I z^ONO8^v9UcOK~j zua{incz-1ke0^7x>B3_|-{joUjWYM20-tu#y!U@gkNxOUJ*YG213TNx_ugGS8{gNo zJ$$|XS=5tsCT~`o>4%(>jVJHb=mUQjj@y6rJC6S!j_u=`O>kOW7tCird^^c&OmRTBj@BsK2V6n2-7V2y#+u*hu*ug8WaRXNef+5aP+A`ZaI68Gs8~biSUq z63T&`9!X|S@c@1;eq3)~Qwh7)|KQ0HhAQZF|JS;K&GvS*A6;=i*W{iExE$0I(=enb=|Y<@m~HI>{^U;$&cC_@H1^K zuKJZPTvpfBOs)+%!sye=v0?faYD+keC#?ljw~;5W`uU1-&MncW&@p-5TyJ zJS>QRLmuoPR;!uS@Pi;FT(J(^P_nVVA3F#x*`3fuE?n{(;#j0l2j?*7>}>CHy}5Z{Yic zZCR`9$dL_44lRM_qi8uKeqto_hfOTiU(?2U3{`IRzhrfKbsZlmVAcB@I5I5oXisA? z{9KJ(fc$1Y#5+y*{v=LJqP~t|@+D2@J>g#Jb3T5valo;ZyWAIFN&%-QeT}$HPsRIp z7EMb?$DuAJjz{^=PX*{}vEaAmZ9}j>oz4Y)HD1uy+8fi#Z6{zqqhBSu@jNHY?ezJ` zI@|vBzxfd_nwe#G@Is3ksk$s%VP`T(W2a{hKo1(p^;Q*Ikf%vt(r;=130|Y-Vdcqy z_o(N{i968r#1Zu#BSDR%sMC zk&JoF#eS>n@dN!ue_McuE4dc?BEBH+H$_JXR32NH+t!(OD9ITyh8SDm5r} z)I}J1{k{Z+`2j0@UteA6!^}JA!>Y0V*|EL?JYto#!r5D)ki(9p@}T`Hz>8B%PlW%) zn&A7&14~%@SXS4ApOQ0Mhrwg@N?37*9>ac3nMJN?-2?fkbZ@b-93_0diO&Bx8|)70 zVbYP$?yyQMV{LOU@$SRokp^@GxO6Nxzqo$IV2@3zf0?#1>h|L$Bnl^?Sm6 zw$!Syv}+9LOB)ee+Z1^4$m)9T#*pa8Uc^h3rYCmXjD-B2RB8-GA9knp>z_d*5#Tav zx@EW9Jv=`-{Ys(XGuZKI9S3nMMdY`-w!Y97u0g!eG(b0BvjuoIPk8uo^cDEM+C4>q z>vG_?J1q9R7S#oQ&)IU0lzj{JS5?x=aiSe~zgl^AS+-l?RpyLLjO+h*eE+v!_eOV? za1!nnYjfCGdKvh;rSX?e_#pDJk7-d7a7?$QR;8J~VwRXH2o$*y_4%He5EQ9rmo3 zJ@4G?b?{IPnwF2I)&$`1r&hjR=0Tn9KmGyl6QRh5wA!DrWBw9@=S|W4$a9%6pUpvF zi+>m1rzclSQu_q*Nfpa9MwxoZ2ZnA<-C8sOeasVi6f}DW=SeYkzS_}%{VwAzNI9wY z`9FT7w0F$|FBjmgl8KeS_iIppPvYD(@oYEZq&)JoraTKmeb%N8VvPHc2dy_hBo(|9 zdJ;x+FSwl-d8T~vmz01Hu-mC;LyN|oz$a&yDYS15Ak;^x>xizbgPx@S(r|uY48N1R zb#Fyl0_<#_qyWodUc$Y)L9JiiH=|!ZcgOCSr>@{vOH6;5CanvfB5V&r4(9LqBe>)bj%m6&SP0T5mHU58oVO`s5Sx+PSw?^SCAuPox-lgkKRt zeq^L0#n|U{)ap8E=*xAT8tivc*qY2E*2s&+d{EO}D~9(g-C};!e>430kDFR1v-go- zDpCKNPI`>bmuy>e#Ayb8K6i8J*Zl3+kDQt#K3{hW;k;IIRYZ1R9%u-6Q=$}Mu3&FS zSNU&W-PLtkr;mJA9w9$+BvhG)!wGBAP(Ma(*s;)8Z`qxHZ2>nl8G_s95ZLz;$ zq7rYa4}fPZKJ?N>hy^$xt7*q|MS(IN+^2{diM4u8W|Ha__ zN-U0ydEEy7PfHHtefEQJK6jeS?a!f}udYYe-ghH-wc3wtB;itNoYyyT?bl3%_@UAB zS#TxS>N+SbRKPt0`OLtp?|$5(2X1T&7Yg#{hdt>$Kd=1N7j+H4yh}W9{6oB5qAqfQ za|`-q3iQBD$wRlYL^pc=$B+D`FE#w> zNVvx|J|l-A9eJGM`Ju-~*0A$==XO^sokdsFfaaw6z{ytek|H--6 z8?TZHdTFp&;ok^6)gs22>7NDs(BLzv_Spt|@ z5768|-EG{$MAEnt@KyzXvddC4c#NEDHj{-Cc-}^;7FF~z`r>L;8>I4f;C)kB3K%b( zhaaK%1@bc~!7k)I-zV>pN9dkih}>nVg1tJB?I|Nyfbk4VJ4^^V$ctf~XY)`55b3>d*q6jO?j#k*U+)X{3gykl%Kh9QmETq#o z&mH&bz50OzT2co*bG>0_0`GlxANmA&t=B5KT%rRWBps}^=fss#AQDVsQ)ev?BgmUVdo~KSc@>S^L2nIJY=k<5|7{3H!&Z9d-K+{A&JO zF;zGN@>t?f=vnp-^_O{J9qJnk!6Q~r(5RFrp)RRNN&BRfAL=WcHvAP0@Pd9M_t6{H zF2q3Ix=(j>{K9$UFzrqn-GcqE5$)vYsKWD?r3q2anYsMOkMyq%ZmST2Tok?^*x+M_ z=Pr2cJ6+5HezJT_n01F1&b>m|@o{}J`25uFdC_yb5Vxg1GEN{V`K_*lqeAX&mOvi3 zPNS`tHklBA@E_jsMoV{foiSeHp_zubzOeO>(;)%)=d=Os6`rTitEMiy2qqHh0!sEa zveyIw|F;%-o*RD#KSOGvcFvdr&!wHb<3QITU%Lc zXuGadH325IzokK;&7p^jM)zx(a zA1zP(2zaX+euin~x;Y$tjhq=8I4K((I^Yi(={<<&xQqAM6*PjV_)h4}yXLS*%o5=MmdGWrN zFo*t5H0g^VfhVKi8u&)AeRWM{6FE87CUaDRGUDxS z8h7b$$52m}qc5^wD-?4XbN|*FH_$+y%N9OYL?$3Us@<^j*rq<%*$&klg|0KpkbePX z4UPraj~*U-hZheKFC@$fR))rLudeI-;#52PP^U~i_JZY{9qepgz6z(_TF7t0gr_2x zIs9aKVu`i~6L|6F8IJ6{$B6GEN`q{BcA^fX^691rFU5iDDk=JgNzULmqQtJPXFUj9 z(jzK|Y9`yJa39M-OTGJ{(j_N0Br z=Z9Sy>{)2_8EV$ zrH=^rf3bO}x4J>kI?wxvQs+@mp3)*-k~fU{qI&KKAtpxDKMa&TUw3pH@O1U0C8L=U z>fp#uw*C)J;rrVH14MRsgRkw6^#1-s2zjs4!gF$)BQX!O>GOW3fPVPJ{%za+Q;!k) z@EW4erW-=9I(PV}zw8=YUAIiuwcb6A_^2(6^WB$T;3*!ij-&(2cLLaqic z&RJ-H*9sx=9 zz?;3+ce)DZ;m2}m9!k+=fXB&GvoFxKAl!#%(o}x17`!0)e&o`-0{A`Bm65rXP{doU zazCHSPJ-uYF%hX}@dHk%@43BUV-!ALw$Uv5N(Ss&u~pN3r45An%g^%J60X9Ib|f07 z8k-UN^eT4kwVA`;>#UVS`lSi+`;!wZZ~iwX=l|@0)N)kuE66)ZPGPSCEqIuYr3Wul z6R4}}LZd_1PMks=N@rJSh@~F#=FL4!w1at0kS7aQg)tM@i;l4>E}jdp>xrLlzG(SL z(7#+4@qAE9fcAIDPRP>LzB+ zYRhpcW8I~m>uH^WI{NBcht}SXCe*ziJaEHA1Mxb!w#@iG1L{LNm>D1UpM-rN&pA?@ zix7V`SB6=5a$=rBQ|_l`mU86fTV71gyY2-q+7$iSV<`%AjD{_lcf0xHeDlp5*NLR6 z;`8_CrBev^xp%3B`hBH?pQxY})(NK~-`2%LFW)2%ztLdjUKZKL1$mf~7M2P$U0qYO z&rg&k66OQceNCOJlg8(Th1UH%c=|tnWa`A8XM6o1*WD-Lg<5$Z;zNsz`l}35ATWmfqID6{shaL%#eej_$yZ{^iluuM_JMOVm|EFVurYD&viV1 z!`jG4Cr=XcbYj<64nG1O=`-DPoNEC*%p7O8dn=(%udZeGU3@s9E|PK6m`*nIs#}Y% zQqThR4n2H2S1btiG_?#{Yo6}_4@7B!0C@*((vmi4DMxn4$|wBh-|#<)i8XWyOLwdY!4clvdt zTOI2lPsL`DHPeT{Pq#&+PCi@@zt-{m-XSYJ*nP5=c7XUA;AN^CYktua)1ip9@T|;R^4UZ=Y4cx_b9*VO#+Rw zR@ajXfraS}up7PcPfwneL_9YjBul%)1URGBcl6{bI@AAKORqcsbitS~uXk8=bJ&_? z*g4YPjFfkmU?&GY_Kmc9Bc5)PcZ>K(h$p(c5@$@G;rwUzIv#z`V2ks~Aj{f*0`F7c zbzPIa9Ou(mFEi2h4*JqNaOQ}(7UHSlqpX*2Ujm+<^mJ&?YeziQqt1H0EFbz@otSoB zpdP$h^SY-iUv8o^(g=OorU&O}w@{ zPT&jkrxe13m9dX`9)klvRbfYC%sS7@Z$MpUso7`q$9?eEslHWCC6&lKMh-lG*7Fqp zv}$E}t+qM-za(#yCix%YxR|^*9qX;oU(m%B!Ld$|Wp!Q5tK}E>3i**Dop*-P5{L`) zvUD%{Ox%&C=dc zivl|@yuCWlXTwMUN|DOy3Q&evk-HD9tJD81l-U7@0TYzq~PoT-l+US zg!5Sn_~q>Q0IiK}`2L*jPkbd<5I>~qomtClg8j}7&JD459LxNl>t2J)5pS|3hKuSGmddS>Z-{Q}{hE$6=j4oZ;UM1S)30d~}9 zCaE7B|7Zw(D7P<}6}SW5xFs|uxGECyRF1>Hr{>$hvqnrRi8AV--Ye-w-h2NIu$#ry zaVOt=^i$>C6VYZ&g5R&%T|ggFg8I?;zTB-rCXlxbUWYT^oRMFwyLjm@cP;pq#ANf+ zYh4JqYiD$P&sOkENumtP|6k;_x(*9gKN0;8bu$6ncbAlQ0mp^}YK3InME*3tK-*8~ zAmWdRv-WzK6heJpIZd>&0Qii2iOcF6$Iw5NFZyOD{dMd|;XXEg^E=>4GcDZB&n1B0 zsVrub+vo`#8!ROMq+1ahKel7rSy?04`K*XF^$X8|F9Qzo9-ZYz~<{o7W{C#Z8~a|sDcHOt2y&DE zq-&q)5c+{DIknftQ-DWYXG8A9B_UplQ@+2$dmM3TL)Pz!JBMMnDzpO)Laq|-hra&! zhxi@vV8QL@KUH1?znk`6IB`n|_A~KLN2eAA^KPo?7cO%=#pfIToZ@t1N4_Za5Zg+x z2J$_@AJ$xPe+s>#WNud7mH<0l_+q&J`33CP&t2wK@vX2k`J4HyjC&x*6qK-Bb4R-p6GtK?Wg_zq{IBr?xqlEKpH2C?FV;}rfI7!9_bgee!h?zs2r6eEvm1JN~}X=WKTcexSt0WTDR# zelGh9H^U`K;3QJllc>OIA!d#Jwg|JR8wAfo&YLoJ-i-V}4?nA3{uacK1^1|rYzX-rN`en7 zlif1jSF0>Jl^OWHvYW9zoeTZ>dHM#%1hQW^?pQ%2C|N{%^kUE&+; zU#EWO+`%r$bE&yu^dvu_&-s2@ZNv(pkK(!FnXNRyjm00oJtzs4?#?eS;Ad9Er`O@kSUEkRIUd1)As?eV}18_T%%-yFOM31>zD8Z zachswABUqfgnO3;E8~Y9k!S37`Ytl(q`SIqJ$mw#%v;0*nZebUEW%uHjs+i$pL&D0 zN-h;+8aZFJx?b=v7j9le-ErH()0m7E*u|c#p$KvW^d>H%Mec?w;eN7L`B@Aizz>x3 z%OM8w`23{qko+wr!o5nfl6GHDV}4V^A)%KGjNsGr#5X5itpJ|sw#$=rkDb8#CbPI~ zi$MKagV2`pDLrmHpMI;clO5vv$^^Y#_FHpS*VM=QUzFA1$0&;pPpWHB2S_?N)L8Kb z`$c-GA-`TeW_4ZdvTcO(h3V=#TsVkM`GE!D`xLkRW@N?ZkNBDwK7+i}?RB%=XNh>H z{;B#>J3Hd17TVC9FZ)sdl9iNJAG;IJm)PkonkbCtiPcJ;rZs?k6iRf=-YWtgZ;@Qz z&vy-a6noTCXh0Btt&>+w?Q4-`)@;wv|sd@HMJb(Q|QaUf8eyLC|Mo5nley?fMJ6(29)M<>d zWP1r+!tb?6cOSp{4)UI(C1O`&j=GGJCA+!g7{q5a+<(~041xa}YqMtSTmta^JX}ZL zFd%y?I_?X$}i!*H7n4U%F`Ra?feWs zLKfAk+BJ;$r#NHllvpYDyP?&4Ic$Yc7i0Q_Z|i#G8>m%brhWZod_In| zV}N{y(4S_Of7~q|@kH_auC)&(Vb^;SzkcqeAiimK-2d*>N4!62iGd|#FX}GHDGHa) zilM*0`%qM-!w=Ze{Ce+QwWYv8O&&|j#?gqk%L;5dfd+6pOQgaggUc-}!O;um;epK7=_uS6lxke4-21OOow;k3bspnCI{Biwz z3AZ*o!hAuVq+tFK*pu7|8u{Dn(Kp&up<|}2isx^OO&3urHNk!hZkRppRPY}^680(X z6RiyPEn4l&%Kgtc=Z=a-r==TMmpsY&7xV&reuDPFt0XV@iSmwT9W7n3qq&Ns-fa9V ztLvf)kvlc?sC&$G+!Zlr4!lQ>^;XVZi@L?>-&$FAf`}7IZuQdR(%@6`zWOPjvj@Jc z2?%PLn#DO#>hz0BG*E9=Y#QO$c>sFVxbDjHowJztSyFsAwBQh7ZooR_J$%_^Ef?y^+X-kA!+ zkJiK#fBbt1cDnE0LV9jF;uqfyF+0DJ;Wx$wif5MsfY)QZ==9TcjzC^!SFZ8jC)|h8 z{+#1rAfB&4a-LOw0Qt5k@%)>7rr-$+RRsD!oP%GjT3Fc?(1G~1^h@Pwncv_^`&|!( zJ6$E*?{;gZUH&khhw|C{OWPyD{%uq2kM~DjJePODtJmap$Pcs}cwoG66ra!aHl(N;LLSmn$Xv>jPSjj z>j-!`kn4BpOZ`f3H>nXG!HCDb1-&nEGXekC$mG@Vshr3s#8uy5DsTqA&I);JV?2ZX%iuc1@2hVM`Fg*F@~RWKp@g&N<1r`Lx!!~a zwwKi4=LY_n%ylyZPfr}Q)UqYqHT$xdFxI*al-q4iNEbi247RLy=Gjf61;NDph*2%X4tdZ{7w6Ioq;{*)nYj0u?U_k zfqy*iG+|Cp`{fBAm2-r8L$7eL^MrmNst_$_l@;n6r+$!Wd*2i8Gs+C~6iCAR75oui zIKl?|QMjSZb;1PxpncB2#o~WI_y5-ZL$8$>s|oV~4Yc12J4XGtf8?NYox~yZ?U#Nt zN!~h#eTii2$k9=EfnF4USa*90`;sAc?1ZB=@Nmku-HJ4UIEM^Th0m5-VaKz@9=3G2 zqMj*FJM+AYHTdiz`GZ@%zK~YeiBFESCibB(F74Sk(_)1+^y1@}-C=a7gNEvf+kxwdVI(NeP8}zEQ#F=xABJf!_Y26){6NLLL^LtEn z?M`F=+p~7XvH@Sk@Q$46AHuw)+(@UON*?gb`N}GH&h#PPBJC7bDQbmZY}inC`_ymj zM_$EX#N;XTBg9%s9d2|&KYm6+HoICe-apa!Ul*4d3!Z0l+HI!CupLe1TzCGt~YO4tLH@4yKO6WSAS5kD#qfHMW zf24(!k;kI2JJggj>MyRKE|V0`%~!M?@o<1m2J=D}{6+yw_598Y$Ujv|$;ud?Kt7~k zz4~l54W2)S_F^(eAYl%E!&zazLFiK)-QoKoFQ9*^0fvYBUjrAF?#QU1Ee4Mk=iNzG z-;Q|7b0V-ru?G3PT*gTqau)1l;Y*oLx$WR#@^rQ7|6PZEWjb0osE?rzCc*!<-vXfy z!uz_Ys;D9SPU*HCu|Jlv4*9k>?^gr#FOSzXM0hXkWQL%DIR}*+`}2{1mP-@%rS!wj z&(Eu|PU>b@8|aU^@y!0W>F&y=c)zq~B9a1xe4nSxweJe3tBBu!<+I5Y?#U}zyS!LF z(vJTZT6uAlP{*FfI{uyi6YK@WZ6g!&3+PAA%h8a3r(kcA2z1uMVE_)eF*uO znBrZ1?SJKZ=O#gv@$p5l&uC|DT&z~Ju%D<`iA3u_*TAq_{4t!tmzS*;h(5FUz z;_+0z0QLKYn?E1yJ588NXZ_Jsj2Ux1@&YDU8g+pWNjqqI&zd6Nkr!Tlhv7Z&P_N6v z#UJ9p7hRk$!a2laR@Y6#yHAfjL;X<8Jw4$~B*cNO2jovSeMUYe_o`ItyD35+jd<&c zm0;v$Yu=dtc3Oh}pA4S!`h46E&)03^YI+#YpSXK%>X$6!oymr#3MUUiFAHkfGZ|%p zuYdh=GkL^fi|3X9QJ5l%I6RkDpQa%mcBWhY?=#9S`6TdCr3cpc zht44WDBP^jed#{*wzgKJBX$gOo3BTkv9b$#Sh4hy)_o9j^qSV&bqijF9W9~fpW)z! zA851}C-Kq2PnEVTZa?%8bsu%NTplZ20zcgr_;l8NC-QSycS|CT-BF)kHP;|n#)$g8 z+I!-n3ck?00`?9|zBJ^^(le|%EqRaNd^TU;t5OEOb}Q(VdM*Usr)Zczxs{$!KX=aL zybs~`^R66b@A8NIB{hwhS5T4vs0eD&%_q!zO67cWPB|6wnN&CtKUxjHR^#-tgli9Y zh?<0=U8Xg#OO@P7wnKT~3&^L_>`dN)N2{^&RKC%Hcs<9R>CPT6*s*p7h4_#hHd|p$qkskWgFsfYNv<~*9Uj9Te{m&|#55vumcNmb@PTR4T+|NF-y3XJ{noX8O z{Pg>qq|Nn5sM{y`OHP@+Hd$Rqv3`H25{Gg=NR?8oa+w~=Vy zwZnxDezKtOyP88Bc(&AD(N|v-5WmN*J0#Aj2wauATmt{V$0kgthra9lb?k9& z1B5wPO1oPY;^7yIex5khVh!G}r8i}FMHByj{75_NifgVE@^tM|*B(tsMEC26(dbatH&L2I@mn&#El)Hp31~T0Tjh<>rDMjo6dzUxE*9dUj>S-w1No zF?X`h>!6i%&+2%J=!`?xF_q!&NFqt@Vx!U9Qc#o6Ygg&IQP_wg1j~<>vO&C zHp1M!`hAQ(LXi9Nm8SH`O6X0?Yl@e`5#*ssr!P~ih9MU%o2u%*5&ETDlm0LWCc*EN z8|yzg+z-1oqQHMvh*1Aj&8+v;jZmL9e#h=b+6C}tMfUd9m#^V{+t!G3OWV?{uG8=7 z4)p$pU#exyR!O}sg!37S*-O)cymH~A{#%v?h)=7Zr#;s%v|U}-N8F$dy#qO?^2j_1 z8ALvqVFsS= zx=CBgu>iZDz#>$Cv=V-{N9HD9r84km1vQ{jw-Wl5x^(Kc*8#*6-ChZTuKk32xjabw z10Mk2H#NOHZNm+oEVI6gJ0u=cw z`??=qHe7_csWc;J-EC2inHuTEbgB*UQ9a#`tT&3NKgx61Kc!#>yGQy~Ja^n4^;>nO zZOKlY$Sb$kf3AIek8rP8d53QkBkCAhJc@4oZiBp4<+8>L#{zfOY1gkke+v6qcF0jL z)etzclQj5A!wk4M?A9>fFJJVF)%07?S=)mTsIriEJ6q1Oy6$+z*KtD~@nYo>+i22V zf<4n1=~x)Ue%DwFJZ50ef7Xe!cKSY%VWyF4E#2`^~|0E3grA>m4JcF0`P6aiKE^xo4^PD*%?!~K7Q4% zNUxb}c=GEQ{Nm7~OLcsVs#tG2p8j1Lc58HC;|?DI=-Ehq>_Kh~#ECPx(*4&Q90>m} z-g%P^eOxndSU#vmAb&I+RTuE(3gWdEH{WO>Gx(i}CwIE|C6OQMJlX4`^B#07&-?OB@S%?iQ(P2Kv^y!$)w{;w?My>wgY)O&Am+&)u@(Ya?xd{^=p( zO~HE!^;W~>ES7cqpvTKK7icU}{iGyTG;i^c=_mbtvDVE$X^E9>W4bA;zK_=WaT*X^F#IKROR^bnqRXhhk_lm~u&fICAqktmCGA4b79l#C3uXjlOU^?nLJymSfmV}oM9PedI9ZkYR0=f|Z3 z{-VD3yq4b%LY>ch!(;{Cd!|RdjX#q-l8en}m-ee*XLDvfOJo><{g^ zVCTjW*q`w!CO=Bdb!4rUCe~%&FB<2&}fQTU01%m&|eS>J~@4sJTF&@_^I{E zul2`Gkq2zMwLb1~CFG`)gD=Za9eqM1^25+eK9GaTUnC|u5$tnCsnPu`SKyJTY2Bop zt?&a=TIGdzPoQ6+ME8Yb3q5$Rs_g}jQ=?HY(|2#K!Q?UWZpB`5{?82IhiZ=a21$KF zd_?KetZcc7{idouzRt7QzPe6+^nN2l1pc4gL3?o5bI5(J)Zv5%nk8Np6JCtN$lXYa=vRtpWXyJmy@%XzKbxYFE3YD z@0<_nKHC4${)zD;)T=yat6U?C=S@>6irPS!XPZ#+)I#SG@NbEX$%CJ3O;*>zPOnGw zhpboE1t&7CW~Wepn63KBBBPu_!rIY0q<&aPOAQUh)GG z$ZylB6y7VL;5G8Mb|-gjKs?gnBqXxi7xh1Ffx4Q^9I&Gm?J4m;U7??y*@vR_>j-t~ z4(d|o|6m6@Klz{gkdE&g+{RFTry22Hg)r^T4k~zxoDxATr45je9Hx%_j^f}Y8}|vk zJQ`&R{W51PJ)8_4rj*+}qwz8Hr(Ve}jX4tWQtetlt1TJeC-OCT>Gkfw59OWZVK{sp z@kQ3VS77B znnJ?8Y9%{H@=c&mxvI%$FIuACuK6lAyCOZ}K~j;+@stDLWhVs=czJzBy=Yy82A|^% ze1FFgdhAa# z(|Xq#dep7=J$SNy1FP46{7AyD(U&^fggREix1lTF5l@u0oXr@d4Om?#=bb8@8iCy> zWyGk}bRaGzFC9+Z`4K!>hUe@G|8?;1@xr|tW(2;wf#=e{*S@HyDEVFeM@9v5mpmbK z#?lhM-(Kg*!pRA{n^dUkkvw^1bscEfy>TRw8~b?TT-Akg)D4tL+;3#Af}Kn5{r)2{ z3Vlr!(Q$z!Iryz&$CI=f>fk|0BW?Lxww6nnG@NKc>bbF3N>dAcs^b8Cxci5;U1y-{$FMK z`2XU^)XaS?kmIB|8KJ*tP&b`*S@+Y3DtNT&5BKlwJ&XM*Kl!!wMjM_tZL3qlYgYKd za^{!;c4oAx|G^ypK>`UAKNT*m*V_b}8rh)>|e`$VU}PTW+c~0iG+g zqBZatj9Fc0f4;91rvbe$C%?GBd<=fGQhhD+T~WmExx$$z_2ZDQD3E5~_1y{a1ljQG z=0GLjaq`suwIPa-Z_;jU8mS53pn_L1V;ud67it@(d37TY4>U-X<&7SI-sg?hJs6?| z4;(8fWfm?2exN%mf-PejJXcQ5R(mZ%JXkStNJ{r4>c5KIc&5mn(EqS~Q4;fnI@;pM zh9|EH_&dAa@)`du>PkCJIu1u0g1>JO@-0ftgZyOX{Vd;p0)8al@ZZyOFJQ+@x6IKu zwG#R|A79XK+=n`csAhWGlqb;d(&R_I`Yfo!Df}pOqaYpf{;S;o)g}|z-SnAMwYUl3 zuzn3o?yUr#y;(fbdbt3&uU@R@nv(q3>bj)o{fj+o33F9SM{9WuV9zpTwC&}uOsuZs z#0EDy{SOBHpFL3DcjxYX;O-W)Xy2?&;7h8)sovJE*q@TYd0NjG;MHos%vLh&g8t^% z+gtjTK>wrOUaDib3wsl#q(9CT;ezwk`l~WexF05y^90M8H^9x+p??hyYXf(ryffPv z83UfZ=CPeuqR^fH_z^N~2t7vxc%$5)Ljxie$P+afik>{L3cFn&xxdtFnUIG{xp$6b z2l(B_Z8K$&y09~K8@<*#l9%xu&+Pk;?Lc0qFjti3s0aLC{_(f9~|!?t5=9p|17n!S;vzc-|t}stiVT!klj#ao-(ws(4>6wyF{v*tPhr zU1oHinB$&#Ax6?U7xiX|Ox`lTlo5~Q8FjaBtpYx-$?3Ct{||Pqy_|RVy>Y^vwC&vo zc8o&KNM@ZSlN-T{lpjg{5^M!Nv!bp}T(k&%Nf`>PB{naq*pIbjznBX`(2G7w>!D5f ze2vD%!iJr|H#J<|zg4b+CrJ9>OP;w4JDHX&DRF-TVnZ!V7ovKK+h%c(QJR8X$MLbDO)K6Oci07Zo z5Q@0P!@9aIc=3L3;Qwf^|J#p3S}zlA*qQW~`JX;VA$}u^MX@O#1+J+WIg(iQ7Ivhj z?Uq+h3+yPRT)Se0gD~ebEaQOw5BQaF(G{j7IYRteClvjF6Y^2!cC0_&4}Q1G=t|EG zPsn?B`>fpYhsbLeSxM0iP=Vj`y+c(bMp0KEAnq{ya4qT<$j9m1u9bo3t2JJb@FIg( zsud_Hjb{c=TO~02<>z(+uGnj{@ADLRoO~&_Z!eEP->QCW`tdA{aL?6IuCe`Jf!C|c zMHmimBHU9;t8dV1Lzv6-uFZ<{5q6f$>2X`+9_rA`RQqH@FQQ*6@1SXr+%d#^MSFjn z*fxOItg);X_GyNFY4UnA)+7NQF80-u^o42o<+5(cS(+`tEj203_s>}YS9CBPqo-WO zT+Gq|lTSi+$QzI>B&C~ zE2(sjFz3UzaoY(4$U$@LWMPI2-mBg(s$nYJX$_*P~>~rg36IFLJ z!u-`on=-fGfZu4`rOz*6JpnzEpA5Ql1Aeabx)AsOr>rZFr!o!Olr35$385yUFvXOR zrm~b4w5X}ErYuPzp`k+3Mxh4LCQ;e5ug88I966ii*c}{8DqBnleP6%de6IKR&7V&> z?|IMj+{<-e*Zn+CLp1VxU(d(dU7XH^adnU!^@tAQI#+tr=_}%ddv4bE^+x-kj_+;l z$m;OKc>p5@1s?=X!%lj+hFx=yU`M?sN9QP1==$|`TA}H==p&%bp6eKsLEX!l>KdBj zg6ElX`l26CxUY{L#GXuBh5oDdmeSB?B*g8uVV&XUHQ)(YA`L;Sh2eKY?E|UdcQD`e zpL|*(_JHSM@p7+MGVr`_*Gb;8EoKZp75Iy*Ypdy%7}Z7-D+`Jvv_|_bido{ z$>j!*b_r{$2)t;Dg?4o0F%Z4^%7)X`fL= zJ<$KO(#V*PfYZoT9Vd;fFyGp_m1h3P!@cH9D(*{ycWfX2G_*w%`VDKhxz5tB;M-fP zY)p3w5$@%^U%)BuL;W@JLaS)+cj(gG#R7)6nTSU%q5_Uq3h=LyYhwm39q5~82pzJ1 z(gfXmVCnMbo;t`23~olJj1oal;-y{g2*rGj7HufV+eg?Z_(Q|rC>1zr){^8MIHHE% z`+J`OT?O^`gxDgf4PoFx+w#xZizy&p_RsT&^8^AX^lVMkoxaM!e0on^qr^Hdj6YHx zc7G8;d}+@KYaY-+eO7m&?{G&Ja9!Q}_1NW#IA^stJ26pF6zkpLyKm!ZQI3d*DZYZD7`u7z{2Z|fTDH)zPViTDu* z9$`$B_9LkiaiQC$R!2zz{Cj^{gS%BI>@Zu!HhD4zb!d-g!E*ixoI_v#^}u!mi&WU{ z#GkD;dZ@RUFI$yN*}%75{8Ql~OHqe&g?x7p(+T|%W{GSMN0Wsy$4JhV^8-9eV{!b| zA322m{?0vad183qqDXekQV;AeXI0t%7HJE=Y>W%kh&nEc`H5eX(Q8cLIi~X0EsuiV zQ)#bUQf?LFc|xH+i#fofl;F~XNA@7ESDJ6T`79QArD%O<J`Iyey5Q2>HbW_fl3pdoSs*5?dVhDW*);8&q0?4ae-Ahm1qvjXJWT(Dg ze4Yp6^CVL_;YX;?dZqp!g$EmWTcS`{b2amRkzkm)Wapb3T)dQ;En4% zNB5uE4f|x=@YaRbOS%xJ$!8^=RD~kGHEC;Bs`~*aFeb!q7j>a8r;ShXLx(7M z;F4*wwD&FaRkzKa)tb!&57@1_>cF;m=u7Nv1@FWkfe+|0;S9QcMBMK#SYu;00^C6} z+a+zSNLb%%|3sHAL!Pdzm{dD2L)Zt~cq+tN4ZmklI4Gm54Dq2Vno3z3OgJZA$U*yL zJl?-gWFLi@iF$=&?epj^x#GX~vxhV6ePrNg)qd+w`nIdTHoz zbjvS$9%ew->Qh-4`SK<340Tmp+lLe2Jvc)F%e2E0hd(guO?hizr|)95v?nA`r&Wm5 z4}{8Mo*4T@X+yP$yM4c@p39O2e*C=3V~ckT;qR$~r`;AUUl?aeF?G8%kdMpWw{=-| zA`ezoZmCe9;oOPxgyG~@cag8FsA2gr%D8u?$Ehi%Km&Dc@z?>9u@>sBhPSq@@}l^D zTHmPSHxtzHWTU7}d`k#%u1@^oCBnItJzG^K4DP`%220ZP#~l!d=u;M3Eoq254E?b` ze6!>*pRRxB&N#Z_`#w5HD$RnQr|;EPx3a)`RQC(rvycP6DhLVgIzqU&b0|H6);SA) zwtn?HS!rj~{f+f9(~E1-U(fbiB5O?{@b&)`ybH7=oYQ`=?)J&Eh)Z&Erh&Tn`RbwJOS%TBMoc0&YU)ADa6)g8;{#oL=y|N)ca*!|2d??B^Je&8tH2{w{9ze?c@gSC z&U-=Qc6RZ?xW=gHMo$z$kK6zGZb=e&CHlmv!Ga9DFI&Dm&TtR#H;FG}W#kRQevEA^ z!hTx{o-dp=X?n^4_R)RdU0mB%@ZQ{VC5tH*;anx56@9)0-IpG8pKskJ_P3z@XaX5H|8iX;0Os^{VjS7LTV?OC|Vk)6@eQX97>& z>$veuSTX9g;;`Mu74_WA3jeCQ7xgpt|=P;qKx${q5UC%z~Z^b(0flsvv=P}%B zV}0Rn{jbg*Cz&mHAN|*_&UywcNkCm#EWPUy|2*pWGSzwMphDoi)a(ATLiUIgMgJtL zD8B-)5f@{-D9Q$Lrm)T7TiA)03*-FpTXLGE$hW0ZY2}yYgJCyD4JXc+pkAm{+44XYs3oWdCRz0rCydYu@zZGJ#1{)YU{ZWnnWnS}oL7&}GRZr9X>akc8X zmK*ix!zD>1P(3t}w;HA*UaAZs4rID_Tu&lF528K{_v-NmpWkj#?CNq7c!`qwDQtTV z?1mLL{Lr0==T+|sp4fdD^`wI^elD_GxjJ zGIs3Vj(w8MJLY;eiqH+oCJ#9$MZi-rMQRnL=Fqp0X?ufTM;JU{(@U-BCy9iGtgHGGMWwSRmA9$3!y^uGU zA2^3>qF3pd40}kqpYBAjm&5!U9QoyA7wny6pd-1<0&%HggYl>2SD25AjdSMLX@qk( zM8@X2R$%@r!Z!}IG(pd4Ui9AEDGm0-D3w-AR)c<(qqvHXX-Tk0!5=i&Dc}hDzH<6( z6@eF$7RcZ!aK`&j@kAYs1<(F|+uBIS4A^U;{}e52Od0y@A%rW2gvJ1ug*j#^dJwGi5gm_?-X4a=jKNT zT(s}R{K*p1dH zDxlk>o_V!rYbD}f#hQCVbUDKP3JK@hpG1JatSB{_w(5nQXSJQ(^5qcpmN!ykg;iw4 z336~^SCBGzpur~!$2#i?=NRPNW*g7od6auer@k{8n5XlBiKfE9qx}M^!5h4xo7KE< zdaoe~JK}V29FtoQ-IFnMd1CMy@B`T^bn|ju_;nuViD7jQ;eL(KWXG-@sQamoZv|Uw zF+UB-mlfpiL8m2!9Q8S>3x08c;-JLf#r}IvRCCJ#OXStMR)&+C3-D^JWx1@zVj96t zboHKvLI3G-oREJb1AJT{QMxm=8T@)|P}8N4Y;X?&Ac zBI+B;WqYZdEbs&^YiOU;vw>f!vsMqCw6Tw{l{u$NfXY$ykEE;UW#@n{C3tMfo*Z$r4o9M_W?=@az@vatxWPkzp+C=czg`dPIBZN+TOwfw{aM+Jn3u|*fNS0>cr|?zM}H&h46oFoD~Nklf=?|cUSmERW%c~% zKFCWnCvA@o2jGHa@9XZYqlEou=gz5F4S~O)E9`3AS`B-u>Djhd!2&pdeKh^9gdgEN zt<@n+-g5Xy|3IaY>l(}lC2#F59$Uh>s)Gs3607k3O~)mSqeKb!ds-z6-Z+Q)xq$5y zYH|ktoMta>vHm{(zlr-|y&ggDN(k5GinoKe%j1nWf3vj|&oj%oc7LTS{(hDI%BgDP z#iS3~Gc*EDs8oJCVLJfbft4W{S6qX5T6>$l-sxBH#_2y)Z=XE{|1J?N7q+oNylcu< z7UOmf!#-6S-N`=S=}1&cX|M=zOI=uiYuf+TqyImT&_c&mH6P$TIMF#~Yc!#|)?QrS z5+?>bPs%zppuh*dmJ~8sB)l7bO8xL$wI>F6Gs%tC)f5jrK^1o?@-2eS+s?0Vltx7! zYmp4H^l8EKtHX;cN^()>)d;1pUUK^k=GF3o#e5<9Ea?p`X~zloe>7?(8XPP^KTAiF zpys#}>guvXS4t0gqHnnY`vL_0u2SdLd<*QDq`);iU=6%NmL9s?IE;F&qSg6@;YGy# zsQkbYUn|1C!cay)ngIO1Qb^AtC>SIZpT5wIP8!Wg-`_pAuMpRT6=jQ={~TBiDH=k-H4AFlrCXpl7FURoBP zpUOQJ>d*YN#&5SW!OPL_3e7)0i@1@h6X92B20YokfAD<%59rkFOlifnPw~7aq1@bo z&){*$v)nopALtc~1kSMd+BAGV#YR)h3-~;>xRG0uIKMC+m$}(rsE4-&|s?0*_NaDISo}3V+G7RZ3!gBkX@!9hNj` zk9w1)tt^!4iGDbWx~YAS26Xpwu3@ZtH{x=onY)J$1^s-jll`BB9Odx&7uhbs{99n} z{#t&_`#3M7Ix<(ofK1qrM;_PY-bSBL)wLLx*HX|c^EUte{e5LI-lvUfx6Kp$PKxf~ zcYj+U?~r!simj-Cy%#O+ntz?)z{A7$Gv@O0@bUcYVc~bSxn%cK6#lsoeE$5H{?*EPjF4?)Ccd`9L3~sUj literal 0 HcmV?d00001 diff --git a/data_application/88soils/boot/soils_ph_boot_rf.RData b/data_application/88soils/boot/soils_ph_boot_rf.RData new file mode 100644 index 0000000000000000000000000000000000000000..d43024a50fa526088ebaac9737a7604d23f6887c GIT binary patch literal 82183 zcmV(?K-a$?iwFP!000001DyQ{G}d3+HULL+2@z3J8JdeSrBp;{k|d!LnhXsJC8?B3 zA*D2mNXd{Pk<9bun&-h3(j=6jk;3=fYrVH)uea}A&$qsNt!MS@|8=>3`?vQw9OrSK z``mUGj(QUuCyW>|V&sUCW28om9Q{B4?}*Xc?JXBCA2DK-^#2T`MvNLU{(t@*>wfg8 z-=57hr--F?Q|NHs>{ogbGm*@V!=KJ5j|L^#J z`{_l1Bf33^^_MHFMy8Une{%`a6|5q;l zw|&U?|8f8Sx99yY^BN&N;y)U-Z}{K;qgiWcg5o#V9%~PeB|&|%by2T}$Kn+sJLc3q z8Xi+8bgRttFc=;)jAD6(4^@Z9^nt!5kss#`kC~h9>K}~b4UcR5thCt)SBJ;EQp))c zpH~l$h2vjXr=)He9&?vCe;qidf%!5zy41&P86H>W=hxZT#$Z0Kxd;CkhU4$o#M$jO zh!`FhWd7cjw&D+-H)JbSa_t!Ab8knbqkr)5Sfp?^B1n7W@R(Zi?zH?mJg(nxV07oQ63Dw? zz}GI&2=hC9ZEozg! zmf`b}BWxYF;r&Dfa=SxbL!TMrJLcqQiam30jKjXfc5JMBu8jG+7tC*Mg`F2S zwZ(*ey*E5Al|TCQE7KACL+qbopCy4N7lkH;gx)G?4#;|9e;z3ud1(-W_xU9y)p{9r zj?sUh?3qO}p=bI6>%T(G$8=qYfhpccxTIJz(jW)#7us*SM2d>v-{l&)`c3-qm~*MQ zD)t_5fpBcQ_Ot8lc)!d+HGb1x%qP*mcxOKB9Pg_Bj;%@G@cs@%M~xazVm*^Cnk-wH zhV>W}%bLH39pcPYr|%(qm==Z2auUM=0eB#`@cHI;u87z8AfgiJqE| z{g~fhT>f$p-``7_Hs=B1SO1oN95_P9e0oDnE;zIBd^Nvo$&tV%!r$BPR9nG*2!6Dt z^_OqO_rKbFowlnL@^g5j{@JWm!(+Cui_7P%=lH!T_Z}Y!55@0IzWpk~7yHAQ(2F2WtZ`M#a1VIsuR9n*fT?RC*+5}uuW~DH`ZIC zBy(AJr2;+=eKxu9-Vyx%1C4zSx2Fz|nHH)=zK>wfst=y<{OBlyzh`Ftv7x~}Q|{E; zKL0Rnc-$!4p1IKM**|`SUp9s>>4hFK@2(DCuZj1jYtGDYi-26x>rOma7yAS29QlXc zyI6C0EDpR>e?A-Y=Dr>b{kwiSp0`2etg6 zF9at?dD=Gt-*SW7?_2Jn~sXBb$N3AGy9dHASce&}<0^nJS z^R@+DN8x8^`&?c%E5dJ<*=TM)J_Nt{?2OIV6=JLpyTGzwOg8Ww?L>{>T3r#|ci-8M zbMt;?gBvL*{eI~B@VH2PbL8qzuV);EZ0Zr*vbk zu<-qVK}5m2w|XS+N8Bh@e~BYv=T9STB>BF6U>!Ih1rCTiY|R zR~2tdEfz0Dyv3UTs4$wq$(;1Djs7<(uzy<=f6>+vxb5|=oog&M>uhPUJ&-# z8y+!&e%F|PYl@aL#n>QZbeAK6(_Sb~S5AWbvj=_$mEQY+{dqpP=4@IG-lt7$6T2Pq zRV~Y(Em;Q~UA16~e)vr2Ps#ZQ)$j7fgnqkp%4%SLSd*fAovvU%1s1O+Ov-!lj~`*u z6kl0BfF4v-idVQ>%*8%Vut`j51RfTM4;>pbzhHPQ8L)2f>;m4ba?@i^c>_Dfj~9F1 zn*%-KM`fJ$9|OG+rp)8VnZOP*W#3vS>+p=`(Js+b+a(vs-k%oBN6}b z8rQG6`WbkS-%rVtKa2Mf6ot9kdcuyd=F?XBOoiPOu8in8^@NB|6nV#&MZ=F!zB0_-QGi#ejXLvVJ7MRmmo}a0i?hY^Pwy%p-2lHri+<>=M}yu}-?@|fq8xsP zx6`O4=r;70YscKFAb}k7Z(VVkFhHztNZMm#Ys9_G$rp>SO$itt*Kd>x|7db(cwDA1 zul;^woYi)ib&iL8izyq*iIx}bf25-qa^=Wd| z*drKMm`zh3gdgK>KTmg_3EqJn8zNii2|K~$t@oUo-i`Hom$bF;82kk5?~R-{6^I{- zTVk}?n!szk+Z(uPt1>a)-6I#f8NyH1>|hM2e}(+>k9{5;8wVU!IZ&OXJwbr=cxojx zH%A3}elJ6N`V`1N-^HS4tal5(PYHUoU14Ea}GnkJ3qS^G_GH8SRQW?^oKh43b3MO@4x^;+&-+!ep ziTr`@bLE%Mn4HFdJO->=F6w|P~u+Xu}cA61E4PEQH|&nf7x)b5Z6@6O*m&*^wG>>htz z)V8#0@IrLmlzA*$;1;I4@a@Q(un*MMpLLv@&G`IM=Ae1N46Mgn=RB*~1H)rcthr-# z^a?yLEL7uL>JmKftS0YX5k9YqM{3f?wr_9(U&&atQu9m{^hos5Cti0y zKIivJA9EhWy3(ZItG(F`J0(~|5iUG7Yj|8XV%@v-sW0&Pw;8J*sDSUy%b8shpn!E3 zhTnE^`wYBLdM0IiZ+0B?@bBqc8(z3$Y;o{Z{}lLp%6HDiFDl3Jev{X1k+X)s6|!zR zFPB05Lmiyzv85IKFO44``75w#c+A>flKEJs4RYW$eSzmF@Xfq*Yt==cfX7~@wCyfoIAF1sPGkSBQ&3S zFZpR$-)iRKU*}Wchd8B6ZI(4o9v(AZI$G0J;Pw#gW#I3ivf1{k%hZ^hd~_|LNODFCt$hk(=ozV}*PI zdv{}4p&a&y_FlDh>^0yVYO!*F+DgoiOZ_oMr4{iKzb>eLVms!`_j)$jb07SE^?ozM zuQ7-Rau%~sN(sPIapL4ZE?xlKQ28p{D?WY}o@YO1v6?P$9_z}Xv6_wA7Oq8^DSIDdh6hJ#QTyf@z;fufinv2TQ1x^j`!gV+&tIfhWM() zbE+hwcW8KAQP*~5wH*9BUGJFoB@XndX1DQQi=E)Dii8WzgugK#mOqCU=L-IS?VV;G z?|}6XsHo>m;y3@}M+6_vd|9c3_(DMUo;2zZk$1j1_x;N2*msJ)jmcb1=o#Z_b5G_U z;Bf)xhl|>2UFZR2{m~!__|`nb$vCI)&?BZ_yR=Ig@F#csj_O++_(j&(BN@iG zuzqYm+8ByE@F0I5=fLL#tOxgU_qwMK@csH)m&&jr_{F*@6Q_Ahgq;xGJ8q{o0`sNX zuB>(I0iIzFU4GT^s|C*sxg;NCV>~>5GuDto|BU=ou|Q8JTNU_3=oa?Q%nWw7VYN-K z#%u5*H4j@i23!Eo$Ib6)ZTaAZ=SdpM9=wr){b2oO)VWZ!vwpvdLcWozsd3@z!AOh`Q|SimC3wFT zZ|=>Q4c?Z&bA94ob>z|Os)Qj~rm!QN@6j&rEQTxG)`+#=OI|)jye70byU{ZQxP;L$ z<(dC}2;PtT#E2vR%8XlMR*&qAiLil~x%c|2>9Kl#h6q@ae_>9}0)X(+J!tYrd zWOng@gE+f}s#GM%KTsBx_uekUdP~m#+{&5d2YGuMNvAwO{K4C|+SA zhXrkMnCA?6vFQxt^{dBexQ~fKJ%i-j>EE-A@%IdSLH>j(u#*%i!*-8dw}!{endUJu z$6;6a6Ar)HnuOn@?Q}9Tj+4hYFt5bu4*ZT_=i;$zO|Xx=^1zcW6R}VHUvn26Spz>? zQ+GjMnaoRDWKAkQ1zwC=V&h*IJ`3+3t=%G5i0`x1U6=n<#q;QMXu-L$cpvV1`U=DO zz@viucj<$1;04$pW~?7Q75iK|UQ1@74)mn@eIj>PFnAC4!1VH+)yOmR54$eg_nU}Q zE8LExPk=l~3__Qe*uoCin0h*l-hz0Mb$)Zx%eM zS_$}%(=>0~j)~wgMgCeV^ftjSvaL17jGh*c^__QJCn6C0L5WzU>ClPzqGsWEo^KTJ zEUjQSSK-nWJpZ?TM9&Z4prV#ZQpQBR6t0+<2sk_^r}si!7fFex0-D>H2Hl!Fb+YdG*|Bm~Y(=J8r^J;L(NR& z;92O-Ppl6e#q+B(_fMB^!1HUI&DYJoiQng#sO&sni}?tf58tJHfZwUV`^`RXD(p08 zXSh^fGxDxHuN7arb>tv_zgLcyl^|~}dM17K(g*PCZ!S(>6YL#`_4o6fY(Z@`rx=T}l2$7Jr%d3# z`r*Z&QQS||Yko8RXwue#^%Hh8_1?j5S8WZS^`QoQ4DU|o>lhWplg!{F_baVXU&t7` zKSEoP$a{+$tp-wo>jZiI!LO|_=0`2t`t#;2>}T`m_Jp-N@V?pkD(8O!*U}a1db4Sx{|PM$q&E6zB4oSTpf1`JUHiMi2tSWm#dY+%^K#Q{-SbUq3qWL@LGjz|n!=DQud&oszfm{nY zeTOHXhThSBed9_^LLAH7?Gdy$vDzXV z{Yj{6<6PJGT@r)%iCcN~u%iR?jxokebF^!fSq8Ogjh4HVPqCMZ143BHR8SHO9gzxh$ zZn?=3{4_`J;OjzL)N61zY^zRlKpai~d3bE+4FWf;@BO*i0&*}s7Lfp&l8|vz6 zA@I$1num@z)L_e``+C3uw5FiEf?9q^e@%G0?#mW@|4el1VP*Jf{`%%Vt>@5d!P8wE zH#oxYGGD)V-04lo|BJ(S!y+KB{O;#qFoU`(LFcp%oAhGI=@7nstrG0=16hLe-2((taCL! zO&@-V(HLO8;{g1MXkwaOnv^TnH{nY9;(N$DOEwicOR@V;Cgqj%nZmb;apSWLlSH%ZY?6*PmCuck4 zAL|xfW29e%ALXfS&Ki@A_2*rsq{SUUyt?%sQP~XW|Keey;0TG{do_{p^4tQ^7 zZqWWoQ@|(i)&$P>e*EnpKT@ZD|99r{czlmJ_IqUz_EBfL$n`bfh9+H0%b~P+>!rkf`_CT|cvW8vHeFz)$Y#HJk@v4wd{Z z;=)e9T<1RMmJ7M4&^(jD8;QD0!M2?~-^LQW)T&A;UsIxf=i2s$*cIS;s*c|F;e;*1 z_orR?Y4?TT5mNf}_*02Gz|6LWL(hS?QkHc*_OM2ro%@0o<$7S^@VF-Gu}4rmZ`2q^PdIelUVPj}+&sOYjz3 z{cdVQ{hfgMpmE20f~OPn!;ZCpr=!U4JVQT;d=&lVNV8c-fMaOSq@G-sgFKWO9M1eb z3ct@Ae=t~uH3#ysu{U*nGv-gZPwRiVwj0lvcWkcQ3w)bns{K}eI{043<)ccc9)QQG zJmJ*!aUtwRjYLYZWb#+6-{Ynax0%R4aXSLsrRU=FnwgZBj=GRP?gHPyLt}x58CFR< zZ291ML;}se3-@fHKRG#q2MUlE_V0N+=5IE|@2%Mr)4dDvj7WO5XudL$=RVDuqVolH z8T1clYK;~HpH~&13S2!C`(NGp(&S+xc)#jNf0b@z!Vgs)+&O;oDflT$wx?>YF6yu7 zJNLfsvLbLv|Aw(&5|Ib5QZ`>uJCdm5Fkkj9Esv0Q4a2PpH^8IQ>mG(~-&q3r-7kOJ z<^cQzuZbJbo({jn`0ag5V;XP*TUfKAFATg6Yn^%1yG|QCzwcCO*NY~|+YM^uKq|o_ z`|ng%sYU!H;T`I}FNJ&r#beIBO>(F+VQb4&Hf14xWyE*QSo;?CfTY{z5uSfAE26;!S)zW?&(j$Pwn zFBr16wDXDhe$D5y=AADwKaTyVkgpG6ANjkrJdK|~{w4We4lcb4dF9_fEgBu;^^YH^ z)plIbs0O3w7|C7`Txe*Q6Tzozi@qnbqa1V!z`V{d;r;+Q5p;!EGOXi%o3j9K8XUR-$ zNB)81w?{7RGWJ=NU;M2s8FhWtSH{QhYyod0D$0CzX%pV}P1c8+QO971d5iAaAFl+T zUL!?kK6WAaWAUA{^<(h9HNM=p2bGb>=a0|vEpEa4GL?_Ni&sayAX;k4KVpXZ62_|o z4{BS3hsQ$s^PA_M#QMB6GE*C+OW;+hSvr4X5$D&gEa4o=e?L5~|17blSOKp~W)3L* zwVVY#u$DJqyajF$=8a!{%Ma^aaH+ED#{=MV?v@EN+kZo@-u!l)^STi0#R{65`YC)h zzHk2P&lDE&zLj^Hp9ZslOT@t`%_4im8{)~Oa;`qW1rq7Vb`=xwaOLY8+oWVohsSif zLZoI6^16)28g_k4P{%7MqHeoPLH^^-#sS5Z*TAcC^`~1nsDgK-CrHMMxX5eQT{Dup zql@^5Z$~ZEa*ZVPC%5?7RqR(;Y>#)XKk5f-%zwiP@9-}B1bK^dH* zg9r@Mg%Z1CNjAR7VvOs{`_W={p|MAh->o>@^(vEQowuT7s}KJ}*qu9tINu^vGV zzE|kP`GGqswfdvr_k`x{oTQDYn-w(`j-GLuIPbE=@5J{?$dBOom|#yK;!)1JxvVSW zU>6&z{ZrX<2%gwD{odcvh&OAW&zdxSAL4b+uj2|wM`OOC_|ZvYbb*t^ZL(@QJn&MD z@hjJl`kaB!oiomT-UnPLc$nS$+ZpmmdvR*dsu4J!!L9Vl6=@QF_^~8v&VBH-`R}a* zbT#3JOP8*C$SQzepmv?D$Rqd~iGt-c-5lVgiUk3({@TQPnQ7EJa`1iLq7F?NA?hA# zT^DM2KZAVpqm&M96F@(h;}-jz+5`O*ZN9=3%)#e16}BgpB*=e>nd{a@h9G|8y_pum zEe4JiWO%6tKZQJ$e|w%k#TxdgWnJfn=N*tQ0Y{Mi3}P?E1K)*#r1g)WkmES7VEPnMqMT+=je3-$BZQwh(cn zWI}HFJT=(e>g->V<}9pJwZ%BE=MIQdOU)cAS7yVGvsuZJiN3I7{4vLamga#ss5FTE zR=Es#NWz$Y=DY}Yy>h{zmrYGP=KuNK#5gt7OA8N{@Yiqm{n#Z# z)J-;=Qjwknx#czO?R8Yd`5Ms{LE-LD@J6*~P8#2wfc4;)HLO@>1w2=O=a`+X7;;q| z9ojGK!?<=_E>%kpc{9#9o$v!Ii9GP}&K;K-s1t55Q(E*Q2zleW$tRiT`;hl5pTGVg zuK;l^Z<+0OaSY-&{xA2mol%I>d2ODo)Nu3*DD$(j)fk#|^N4js#5d+{^&iHeg^A?uj_q-0?8`}gs&$26O zr1Rkya#SeOl+_8llQUt5T@ZLd-gogfeKzz=`2A1L1q;+=z6l>8JNGIPU&UVjX<+7t z^>O?1X15yhZ(OOD>Te&R?t%BJ!u6;t@E}WUu6BP9q37O%a#tLQdNi{U+{t|8n;0f` zGQ6q4%e3zLcK4l#e?`@E@D4--7!ar@Q)kso>gYu{yk@G$IIC&GLdLw|*ym#?aZ z6X$N3zXlIfy5jd^!Zznyqi%*CHl<1N4Cd3gcgS!b1N;F?sdR zmm%;A5+{YwZ5iN+1!}@ER(0`M-!Qp%#>b$~ye9wXl>Mj!ruik7e4hxOv)1{8&9#cJ z_`R)1^}oI){FMEt3y+$RKjl?g94Y8O0{PQ?)m}6MJd}7+zSkB*_{sWJ&2GLrz|Ep) zvtwey7M4p9RTTERL4!)jYtaIsP2J~9+I6(7) z4fIyvk^HRW0_>#ZYX9<^PDI>lXq%LngS?Z_Mn0FF0eoF^D&$j?G5Eq7+I!Wczu-|A zYUzJor^Bz%wd}|HXaVnuFBUGGQ3t(X<~>M%(Tw;*IBw=vWik99cR3}$A`t6Rz2D7c zQ5x_R^IJuBYX?zpkw2)s?>L?(ETbPxA$SSFik!rl8CajHxVMz+emJknW@?ATKf><| zr~lO{Q%0R@Rc`0wZUxMbx$Ll|?gSUSufoqcU#zfR?6{_FQQFA6N(_~)(?igggEDq% zr0#5@uff8uC`lpeSE@H(npV65b-ui8u}aHW;yk^FyvoW=@axP>%?UBusOOSse)zqN zhWDXVWxKm&KyItCqtme%z$M z6e8Z@xQ9l+S`2(xo*FTC&LYIGk`v9EqqE^hnTCO0BS*pRRr}32TN_2xgPq?XX&r@g zfwZIAs-8_*SpQ`^J9)FgD~MGCRjTfSH{z8nOK%enBwT$?tX?cwY8| zd53i$pq@%{|B2JxVDuXhEi^YcV~+YqLBHT<*h~CX@>lhJ$@B@DuzP}LGxH#GtRG*6H)%-@;=yWX%MaRP;MXXl zF3>*Bg5MX7O>HTUMLk`u?c>gbA>g`V{poVf-tY?)`_iEO>w!xJ)9nAGcwqf`2QI1Z z+z5OxexMQ7O?;obmhT;Qn&3$TuE*BChTkupFUvYO6Lku#9dZ{}%>_>5xb;|1GeI06 zbiL`iM!JwZwG>fCx}B%U7}p|fQg@L<_8!Nj8bm|qQpl`rH#4)fIt zXPur5JXbd1EZ?XBb#kK4ne*)LBQ6!&RhLx~=Z5P2Z%qH`0XbzBhcsZXL)pUj{ou(b}h!zlx~O&Y=A;R|dYKJ~pgBw}{}& zPhOfYQvrM+ToA*v7*~Sv+AqmQYh@&EZ`Ob4-FAtdHPqIP?MM zFhxOEf)v=Ouc=;d-Enja{CMg7K-=6IME`*&Q%@v6AeuHx%PdjuE`k zgTJz!)6h?f(<*SOUXT6c{(U^F(T(7RWWAR@RU^(>=I>IHFNMCd4>b2F=)4|6MN5+=u<+JzZhDDH!n_D^}I$%QD!Tnu)o=2d%c)?elg;5GK7W8F`3 zf!DciW9niW!OsdNyw0V_5cLpCf4dIcz&?wmbW|(}9!wPKHJ%cHb+5~qXma!fc%$+e zwO3d3f!77^ObD4<@Yuxr)r zLuGg$&dgoP?H#bY4V@p(XwAUuvHlNYxFI1}-uH|$A`3G)b!c9sL@O|?a-FLCiU}xx0?kIcZ5%m|(gz;5dh<-z_ z^XxWx0pDtPa(TDX4St92^>N&&>9AwGpuEo-Hj&t`nKPP| zpFnT8p3lb{q{2@&&AltxaUS_P$=P)}j03=re8=;SjjDuQ2syA)wH5g};iY4rFFb{x zmYjHA|1bi0l;0b?X?qe8$B%qAeNPI(^V~k19?Sr*SLt##cZ3aa3152p_~cU5nNUR~ zjoUZE4^jgAi)6&W6|90iwd2ZzF%J23HCP4wxWH?{-q~}(6EQyCX>XK6{*iz7$l`D> zoExhkG)w2%{p*n*M@E=4LCeZm$EL7j}5<$?72bkaYTU7L5k~ z!43ajQ#*)yGp1fy^tD*zquBDlB5!J*9UeFCPhokz#QKYEJ?2DeVE^iD2ajnig}#X; zH)i=O&BF6_?62sbgP(4kqGld59XNu2&3kS_6XZo)w`?Fc5WEvlEzNFGB#}pmyGDQF z48Dd}9T*|*$NJS;wog7f3cMm`J0s=8r}*JV11G*`2lB$zK&XV zW)xgR-n;zP;I`|n$iGl!D!hZ-VF&1Yn3Lq@BkpG$e;F`kBJw$9TYhA>nPuVqwl)UO z>R1T*I3)^8R6*S%-%@4tW};s}rFMM&8zJ&D)yH|~3#`HaS4_@MudqXYMCkBmtFs4i z6Q!l1%>5qxT3K?Q)U3CNPnqfYZ8_JW$BdEMZsrWsMX*zhe;#RtU#OMSKl=GS{GMRV zv7rwSh<+3;=BdFS5uY(qpFcI;MD#^@UwH5B0Q6NbN&E5WO~~IcLil@Lv_aljTwmIk z6z~H)IXC9-ZQv8C{2dG~pMtzrY@V7&#VqLxQ%Ebg9uA{D!vjlcP;Q3~}bE@g^xc=$I-9ZOX z_g4IF`-!Zl;5AtDOOAE_0nb1^J@$3*V}jR65Ki+{2ma(vcNJH4fdAu%KN=k$3H(&s zeX(O}H{_1uu}v!a5bTWb={{qJ!-$`#vlkx!`vQ42;nWk==7(`^N}#G{xZo)KUQOE9 zs)uutXQcM7%3o(p@CdIw227I)o?_7B!Uq+iFTDHQ`AfTq^W*neDf}PsBlJ6!-;6v^ zzb`)bUH61B_-dxn)05*ZA!ij=H*KB2nCQ1v&X+#k1G_2F|6?vAAo4{M`t<(Dfv2M+ zS>=HZ+Sm^k;6vG6KbRr4kTb?HPsIa0@JoUh1wOMSME_mp_x z;K#W~jhkH;p}vY!vi(_19{6J6%tnQpBd90iy9{n^i9noB^(b7v)e3duv=80y{S%2k z?tMS+`W_+rr&YDi)RBk$P`9Nm$#6M>^}0GUHl$1*@Ar)}Xstrj0R&mzKc962pQrxl z)Rsg28ZBS?BP$p2EIls5Yfd~-C%*svp4~D;f8@)bs@^XGuTzuLc0_#uyqS1R>i0vB z!M|5JHXA*eg!N>}-nL5~B>Eqex8Gjk2tUR+p>}+34|t5?JLg)YUC>9Q>X>HUEl0#_ zl@4Vs_TQ185R6hgaqlYpR=K&}$1(bZKG3I_C@&!L;IDd@mG1+dryZ_+>ply1zUH+} zL{k;&6eu+sV@C~OKRCL94=1F8S7l6=t4vD4{xJGH3*B3YzB&`LPtTBoK2#nPKTP$6 zeAFI|{}}L*kT;Imto9)InX;xCx=)y2u|FfTRbumrb967itE(lTp0BE>SJ%n}ew1!y z(6H_b&YuY!JiU4i!6WfLSm=B!hkazzryQ=OB7POzG`?aT0^CixmaZtfDIWTr6QDc4 zANe-+(mmIXgg)ocSwNgBpN(Po~JB$DtNDlfU7o*mpF+Uj!Upm?Qh|d3J$U z!(TZ!#F64C%_EuVz`NB(7Sr9X5$6|fos9O0LY|MV6Q`Kz=!$t)UWuRd4S0*fIud$P z7jjeea7QPt0d|J#nB}`rP&PakRe47De+IuSu(~?Cx(<1;`jNDun^}nKs9n?6%G@FR z7A5BSwnv12|K#^(favJV9Ub zYu3k&z~@wd#`f{n7>lU)t9<7n4ip@?SUY<@?2fRzIhPVe^ozQ?durc9jM-lkXYW;j z->tO%@@{e(_)Mz7R zF6dqA>LvO-*3G+RTM0W<*W*>SUJ>;wjO;h@w4K;*uH@j!!Zz43@z}wu5$f<$q9*^Y zH}{Yi=SOrYDtjX@%N@GLiqQsMt-WkuIop7!s~nIwHoJiRW=1uXA5%h|Ha+rNOWPO3 z6OG&$-UwG>Kih4;92fvT=DwMoky^O?~a4mCQRHz#)7yAMux4h~FwDT?fWo zMm!<7y2-7$gXnvB@cX1Ys^HQ1nO{Cx+#&jB`{$gq5EFd-mYxMwH0Ud1PMk@Mc_}ndgnR=@& z-j~0){@qHP&tWS$Yi84cGkC7YSR0mscjt|`5iY$Je_!=CpEH7}6Ji;yHIi}Dg}zM< z3;f*ydm~y^8mjk_I9FP9m~yBOez`1t3Ger}EX;5Fg^_5w}m#=C$0i0zcw1s{oimW8KA|GrPe z`QHXqTk>FMMAEt2d|Qe7qpe210ox++`IqIEhFruOTzlF3&;1}b?3Icd1FopY;{5C@ zHZtfQ9@D?}mzymIo|l9y^IJC^^&7O}xGv?#h{J01$1W6k5%oTHKRixaf~R5*o_O&~ zhB!~}>@-bS2tUYEu57TlLh$8+QSJR>!OPGzp6YM!a>Y6u_=fl90k2W?mX+?6#lCSG z2RUs)@SB1sm9n8vF~9O{*X0urU|%X!e4KB468!@->5XT!h9>2Ae*jM>)N*@}F`D3) zw@PxY69(~nD}R0;qm1~H+S9C{@Dun<++W<=?&*TR-#FS@=PJ&@36FBMn)*Gm;YVhYu@Wd-n0hr>#x1VQeO-R-pXgG`TjKoUmpI}{o-2WN%lT1_rD&^9 zHaP~KnZ3-U{Sgm-p7D8N*25HHe-ocx)7Sw&P1~3dS1bcQfm1!NGs6(Lg&O55PArGM zQuB4kuJ6ElR@_#Wjekt^0r|x5YNaCnmrUBe%4Y-YC1stPdBtSt3pd%9ZXnZ*=Z`2< zy!DW%kNeX0DS85MLPf%%3n@RaKm3I6PN$9FCs>YCn`7#TKBz||v%TLV-l0moir;3z zFV--r4H{zTPsNC%0hc!-pID_D5c6#m-dDh~)Ow#W3-8mOu6v<{u=oBU!CUtc_ae;u zIPdK_qOMpjCHDB68~^s#dcJ0bR37R>mzeTho+PmaS_MfqnB=70zIUv1|3`}i}$FWk`-{AxF4@Lp(k@D z>~7tNvjtRR;4$7N=~qi~5SNOcOxkPHjkr-Twd`=-UEp=WpZ&ep($q0tbn}QA9s9<$ zIp};+8F;R2CN*TW8TfS3Q}v7eO0biBxsUbsci~rgOA@m)BjHDA;UN*6vEa{XhQE#( zK7*Z?_+=-pNkH9gwc#pt4JOg=U(;s#=%c~Vt38e%iyjeq(j0A{mC?YPoW_sdhdaSn z3s-)-Xf{CfQ_8b{GCvnQ0c(Fkm;OQ2!;}yGG|2NozKmlMad`7P=ovrr?<_@vm#pT- zJ@KspzT&E^K4j^F^A?og2OHi<0k2gjMLw|EL-1xs9_>#R;Aglm9q;dD0`GDS@_uZh z!!EEQl9)2@%ZA65)4D@$EdpOmQEM&idQ0Gc?kVZyi#M=-?`JTsEXW!ji*vqS@{7m% zaElN8@~i^CT^6CbX!S%=Gr~dUJaXzDbZ|k$` zM80y~>W{uQh_40S%#qcKgx}PdAN;ciexf>2Z*e#i@+(>~6f573^EV7ps_f|koD;3? z*c1PGEYXjk$$5j_O`DsUFxPvLrjA8;Hcz%1$a zM#LvvsllWZTZz6*eZ_K0_rZIzjjT$HcEC^b(@l%!Ek^v#zBz7HRxR=;;yKf77wjhT zDOHLl*;cUoto_@L`NrYAJoWpQyUJGJ9T}hB{C<0u;HC69oxVqi`&{bvR@Sa3`n>uy zJeHaiH$1MpcZ{Mt8}>(H+-h}012}{csH@}D0Kd&#_Cp8jt3)Jq>ImO1V6Q|!jIF_(vL@-U-^$8 zsh6XK4Q?Rnqu7V!+kO%EWd5-~rD9Ih-TwWt#hVFySL+(MRk;Otn&0tqv0Xd9&+ypX z@_ZI?K3P&kePm1YwT{1Fooo*LQnP$Qrp6`cC7Y2Xr$r1nkJ(ykMxs-{xTdZH^a6tw9d|i9Y%L&)PpYn>71lo%5bAp`axUDCV|DcZA z_;l7K@WcF=JAdxoL7lVsqgnaeeW>Ru{V+X#|7ZMu<7zqWbN+}g>U^s|O`{Nf+s3}` z(49l{AGVd!2>%WKxL(JzK=B>U8%UBpGR=L7_^)4lMe`T(bYs|}NbzA%ijzFg&&k)H#w-@Fqie{k5yOY(<)z2%HXURks` z?9XZ{?4nS9{ul-m@gn`Ft?Zp|#C;F1WwP@kkY}%a{LE%y;GOY;VGD)pcHDYtF^Fx5ki}_Z@!__pCnc^*BBj^53|smzTX8c3Zdr zgg|@0-};1eGW4;UKU=MFGU5&Df=uqsSHyV*EB5M_$B25Y?IX?ZZ@}+2b*a94)J&Ww z@nq`yQh;NHzByI>@4!2WpFPVuvWd7aiT~0SfVNI7s7~hvVy-$#%v<`0SG*T+NJ8Q{~M2#UBBEfhq^K9y9J&X zuMl;#BYLJSast08xXhJ}{pIYu=K?*T z{&>n=bpZ8Lb&*t~xtm;|NBl^(YBum8JJ=&%^(Xus@AdBOGB!9*Qh(f7!?pnYB!^LA zGqeKprGKQ9o!bsxqS3wZV$>b*CIY4R-+q|_zX_-H*@P4Qh-*vF@Ak0*-Y!kwRj^4P zJQOebduZ`V;+`3|Yco2xLT?0jw8bNKi7vD(lh5#zYtKqhftLnQCVpT|TU=m)#IiS3AQYnI4`@`?M} z1;^k1ezq6*lCx{d(kET;Bd_#nFH29suS&96N!MH9SL#%Mvc`q0J zRg%a2WrI$+$iXfNR$ZOHUIRQK|MJ0O<8Bi9nX18CYF;h)eChO8PG8`+%HO7~QTMrl z_5WnB`9~jdU%0}kNk?uI_Z*G=d$xQe^rI?n&aYoiu*>|a4S9_z;O$r~#$)y~5s$KJ zD{t5)G(n!+v)GPtxYw3@?o4CrYv3Yr5AAh#F4m*INqx(MF^DH6+Yaye`VM}bld;Oj zeg^V|jj<*63+gj4zcXh7=b8}u_@Z#f;{Sy6|JC0cs?*JBz#*c=kHRcu5YMt-N!(W~ zKs-Rd;}{V<5ziBke)Xa`oWLPjGD*FPi0|sk1guicGFta0iGI1Vf#@XJ-8NUBt&a+Flz0@K5ILIcNJw@K7%$~XId+HAz zLa!1Xj&O+cw+#8U+WD`LU#XdN;Swho`zFx%`1hzAao===V2{oh@J@U$pTfl7#JL;m z{qgJ>OE91QUnhjo*w<>e8Ix1JPzP7D{pjwi>tTnBjyxKB!O{kDykn8{hWm&QYD3*w zDVj%&Jl0(2#Fq+>s>>Nql&s-ActG5sN8@|ufm{ValH zv7hfBsvX}6zg;%_h2H4^*jdTyQK#NF6a8U7@3EQ1C;BdiO$*N9pkUC1$eN*OD(W11^BqpwjgfZ0PFxw>|=LB8NbJ_-~aLM zCFr?et#QIOAL4$A_A;Z)Meqys$!WCE3Bdo%F=fA0M0g*@dz-{bF2L7S32tpIyTDIZ zj4(}=jX{2_Y+*;vv2@fM<%OBPlwC;FudKITxJ?J=?HSQ-wQ@GFTUC|Y2L7x8E)ZJz zjCRT*`h*x?6E5Nt=Uvpl{j9Bq->h!(!elbBA zIDvK8cE__y=p%RV@S@o>iN1yO(bdU5#QlF$7fn4y@DGB@u*?;jggz~aQRTFrg*?pD zD=Ux0{_tD8ayU{%zcMPnwP#N^Tbc?ZA>Z!}lP1O!@nq>y z_0xT@n*!FDhN~^WdDYe}iZ31jC+9Wm1st~}>NP2kcC=qXyi>9I@5q#J;yl&b=m|S( zF+a-R^hRZM;@&&@$kN<%z&-rEh59~wz^m~rjJLgX0Pg18q=Y>_OytYVm~|TxiTb%m zk3!Sdfp>rX;_Y9qRTK6<*YwAnNq9es`;V-eK-3*DqAflxeT%$7asMs#jEAT<6`bEY z|J6tHf6pNvIVh1$0N$?Ivj1dY>1vEQrgWwY^hPu#c7EY|;=W_m?^8Ob!=DKU~zWPkkEXsVC<87pqtfy)Oy&z(~5lz!IRYKCsXI;>JE=9TfZ1jpbQR= z#p|#2s29U7(=#rWZkdC;Go^ePy;cqNKio23le0&!;5&js#lT;SJeF7B=lOA#-zjFyydb^sn_pItLp=L!Cn){t}{|1Nk! z+N-n6%WmQM^u)U}EZ6#Ae#LJTM<@{SqX zhQ7dCT<6(^{87j|(l-TKW>Hap##1ai9Faqu2M&L6?Nl$(&*<2Oj*v#!edg;~ThD1g z?x{w+ohf&T`>D&={@3rp&agIj+|1fW)Vqzl_v^9(^sxH-dubz6;yifV+VW~;=viso z1Uq{z$X`XNO`cN_@{W{}%W^j^VE*)m%EPW~$dAyl!|T8y@K$1X|D@9n;Qjau+nw8f z1IICM`5!U%B=VY`nYNNss6VQC=`*(dIO4bJlLvqH4p{iMCV0LsJ)fx2$iK#rr?e za zx1rn67f#vhW2eRgzteZC75$Nge25On=hwU?`ogB2h?(Dja|}X@o6pC+Li}DC#~L5F z2J@-fPS`BZs>!^*1hgkJ#ZaQfAJb0ChV8ksK@WO$+)Df39bu9d3_4s%5SYF^)X#1DX$jT@BOkFX) zc03L^j&d_DM|BT)YvxetNcX$&Gc|#uoc1t@^KL7$JuW_my=SS;eYZy3{%<^T{+!3+ z1mgVkmJ{|D-hy8f6o=K8E2D0V)q5p=qd(+=-|*z_r$@MFvwHRD532W3FE7+;{^HAp z|EIWp9=C2f>Y=M;m95QdA*W@d6`j(xz~>e#WykKVC-{HO=hKa!fEUP9IoFqy@)hgI ze|PlsW}>fP>*}Ym+lhLW`q~MrZ|e?^CH7anEE=({RpT{uPd)-KMg6kL|G-kzfr__t zjgQ6yFHxB;2}@kD?z|P;*4^pwGmXX72XqO(mC4_K^^IR)I2Xqg?J_L5z{dN8jH_!(#`_5+ z^4;G9X`$J`+5>ES=I)$S-B}%Id!t zfNQGk&+I#DjQmTD$Jk4uSK&8H{ieI09)SE+@t3agJc#czc_tBA^H4`qw{7aJ=5P3% zy77~dB!$q22&n-d9oUW9lyz!TcM)~1_Cw~@+lce@;hg&1=|mks{L9B9HWT;Gdg`~U zE+p#J?yh_p;f(h!y8FvHc{y+w^}|#nbt>jt^>?e~;+w(vd-ZGU;^o0J0%QL}8ROc@BF$skH)Xu1wqIcUC?^iUJf7cN_8-+H; zXv$y61Ensg_E9C`Pxk6Fva+Ya>rwNaZZwm99BWI$?w)`jXJ0aJ8nGDqBDQqW4>wtj z^;>*l!_D!;xo7*-pe44*XJtj4wEgXi_>Ox?dP96S>LN<=()ZZyMZTpb_1Wm&dhj!} z*^E~bCHy`uI902B5%T`R12XSo2|q+PKD_c+Z`Z$mr1(?C0axN)o&7sX1I~iSkyOq7 zwbU7M$6cVPS(rkcPu>0cvxXV`WwD%cqS^@TbCsg&i9;U9Cx|TG&y1T5yO?$DLif8o z#MylBROP=vi2hO(y^re+z`wKGH>q56$9wVQ*4+7c2JwJ!Zm-{$GT=3~dhne;XKoCS zD~&D8Ul8|fF}Iue-MS7x!kTYE3-yMc*W@mxKQV<}&#j1PmbU^Q%emD4=>ZEoUCl$cA%^oDmg;Dq55*nQe^s!4b>c$TWGJ@eK^B3=@WJ{PW-4LRl)J_;GN3%Gz& zJ9*pkp(W5uYGP~sSNJLM2KRV_yTm!R*@C6E#^@KoJrI#}ZvyJ`s&6Ik?-&POlUhGQ ztAaTH&8xaF@%l^`{C(q4T!REB@274e z`nk=D%WEuk#oxOtP2YOm2G84f>$m)O#7h!E`&qsPaWC5?+0Vf?;5~$M-dbI=ChAsX zx3}5dA>!KwhClgy*nR%KYSmqbaXyE)+{M+wmpBg|@nO%lMAPAMS)F}}b^!F3GU-sg z!fnJG?68g8#c#noa~{mfJ51QY>aHg~(uLqb3N@2P#Wl)e|9s{|S<844V`=-mg+$-- z*oJ)?M1L*T+A#yXS-?RxE>D+?=_UHSxXiVPq`+@clLxlN?1lVF&Q`{+YAeI@vRwbL zy&zv@w?^iioP)Y|uK$-!X=m_#zUAPL{y4(UE2Nbu7~^x!S3`wYPZ3`hfAcYo&;<`! z)>t=*#%qFpywIa;q@d3X??$OoU^Zb-i;Wc8`RJ=8QG9bydJk|1PwDxqrPm-|f+Nmp z26qsDF`_%-B5xD@i7l=swELnCMpEth%P$Rnj6HArae40+d_U^B)s&Zzr-FUa7Uugg z-`YhNlUJSbA=Ynm<@DQq|M(H1`wFr5ChR+RbI|=7bK-o##=2^r2J}#P$J){S6#OmU z<3ho`6{sf=-j7*hJ{58&^x4)nFAn&HalYMW`*PHs(zYylI3oyoAIei#*Md5tFUZ$* zrI%1NeQB)~8D+wgA7gH1%Q`XHdUgxyxNLOJ5iBpQ+>sCigiER`?6xp3Z%(;tF!s0lsFv?F)GL)uIlfLe z8h%OGwYxaHi#RvgQmA>h3wlhO(0yXPKhc-GCt=ZtG~)g`cg-2mNAPFYPkREWM4zaAeq+CrS~@2YW%t;V@LhUD|$zIfnAcKUAZ&!=&&l7B(ca{nQC7xA)z zX`2foF)le{2;3^PfuOiQ|JM!Bo_F3f%`oF8_r5bGNO1=X4VK zT6dYUp)3i0w^aMo=k_S#y!q*Iwud4JTyZ|U)@}$mM964#SXYOB6I3S!Kk6BLUjF<= z_2m_)%MjPC*kiUB@jh$w_pXve=pX;#cn3!NS;%Xv4^{sU!OMu8491j0KI=*!cfaq3 zK5@6UPxQ#d-wQ=*J`eXpUxbDGELv{@?{fp+#cc8;`d&8omTcCBeH4sOQ~#|`oM#)8 zQ@?dJcum2;p|9I>;fI(m?#3#f;HfI+Oy6z47xGW*&yYJG>jQZ(m0EVD9)6Zq(Xc}C z7xu5AwEO;|4x)~E)Vj_oagZ09o$m=_GssgJe?fxEAkOnJTDR7z>>&DQ3`{N3T>R`G zKO#~&vdsD#>a&V}FJJq#40fD0xI593z{6bkqgl>w$b01^z4Hy30{lV?-o8rR26?}V z&;Z4!`=Muao@vID8PIFd0*5^^4&W<`L_1HGGa+}CP3e@>e4>A9OtZDwN#Y)u4T(Q? z5j+6L#O33-Yv9+*UgcfB-;6x5s3J-(_YdkiYa+eYWU2xGa`#MLIBg90*Rpti)t4OT z9gQ;MmSP~{_L>pZKA~%1w;1pBGqdGTS6I<}Wd1!Sp@&ZM@4wnl;N7jh%4ao*K6Y0} zO-Ul^(V6=PE)X=-J$PR}78OFQ6(yJljAGa>m=!VCdbp z8t)Tulp1}w8}rq5_l+-x-LEuH`RErx;GHE4)SAi%v7XkgzJ9upC#FJveDgYtD@ULC zIr0zIlcN5_Y~V6cCmugzu0;m+gYW--JZ}#CG+!$#v+xAgkLsI|CB?)1E5k!#&v?Ub z3fUrR*DfyJPnmwo!xOwu*}0?>hRYzYm6|dAkuwn=mFqtU&_0L!S%v?(#F}E@km3fj z(o2UC@6e~Nc8WNQ`7;uSZf)!WKTciury+e|2KMjJrF?cU(Wms4srXCk4eVFt7QLBs zP^V1a>FAL#8}(_T{4?codk_z?N|w!RC3uMH2CIT|`9xojPsg1VrBH8^zf9@QNO|B6 zn&)ieH@|S6pyrFFOjHN(K5y=~&9;5Or;LOjQx08%ALU+bw4KNz?h#mF68>eU3)Xkc z5rgM;@bkQ9wQFL-!0XokUBxWB1m2OWve96V3Xz{lPokgA!Fq7k&-w9tG3p4I?s}A` zbHNW(gg4ngRs?QiNuM=ds)FCIxw(GA)f=c=5iaw{Dc4+r^?0*uZa^E+m&a%Fqfg1m z&k1H;$=G!O@+T*cn-g^C$T^>aA9`klzwpM{~n9z~%hITb4WgL|t_8yd=Bi0is^-)Ak)l zxv=l0lNt}Gy(jwn+W1c~y$!ynXx*yya#_H+0*@)}nvUQ9?HfOLkDF-^@(Ch#N_LAX z@)r^>9VylFBg5lbs|U1gNneM@Y`4D|D_3J(1U|7bW8)F$3KzKe9^H;OP}r|>CejpL#D2gq&6H zRR8|tA@EB5$%8C6OQH|Bdg}dAvx#~Y&-+7;#^4|86xXfu8A4vVes}-WqI2l)RClv~ z=X*B%x9CB^*Lmi!YXbI|Pkq|ZBl=iZMtTl$Z*Ebu;k6vZ8=||TPFPkUFI?B&W_Z2@ zdFp!Y=PRaXgSV)+^G->Y0WToh=)60?41BThMp?hLI^rwt$AKVa2K0a}vv&8`o$%w_ z`pG88bBXf~{;@lxdVKIc&H8r&WQcsu-5|eYK5_rznGaqxrS2%ssY8YFB_1s&sRIL<# zp6+B*e)J)6|H5;ZGrQG*GbBBmlx?5EZ}O!#pG#%KPf{N4v(@uJ{3FnzxlY>-zx?L% zpQU||V5b?2m43YS0&gR+Ua`Qa0eUa&VE4>y$9@*SE@`^j1Un(j`!&M<2jV?JPvBf3 zao&f;Z4A<{1P>>0+hR4DI6p3S{L(`9uN6G|bY+heMS2TIDdesd+jrI*1d-3*NFNBuPU+rlqqK&OjKcaB!A_y%%uqp9yy|YeJci04=FNk6283#yUNwQxM{)|_`$k{b+^;*!X7bIgB)&rAnwH*nJUFQ z2|p)!wy(x;H{Q3&IXP!z1ng;Z^!TN#(h2*>u(sJMfuG?StC-Ud!H@A1@4WA>2JbF0 zda-MS7v#T1^Bccs9C82r+%l)Wv5*mS`a|?1xoFUvzLMzouzKIP zKLJEPh@qFeUrZq4El=r3CpYW=<40JsS!L-lM7Jr)C1w6+Ez+2*egLe}b zAum*Z-S!+~C+sNq*A{E5KXKSshitF#>4-15YBNL5pN4<0^7|9?>l=~hy|g#xE*-o8 zqpD}UeJOS`e}@o5+2 z4+Hpdg|BJYlXJ>R|*-WB8Q|_~nN7smZE$iQT+&V{`6E(`&KVvn) zSL@FB=BP#Vqm8&wCLRr5ke{5wGCKu7MV}%2`^ik;5ss)hW>-4FA4@G#oOl>=T~&Lw z|M^>@Uux%sz87O5*Uw^C9a?Z0yhov7s&L0loRiBd)3G{cM$}uaZa19d0X$t+`#?40 zG~xl;&OeIJFXH?Lt+~3)aUbFv?tHhQ^~s3Sx#wR$H5J27(Rx&;h)=-oQ6CLXb=nNQ zt~zaK`DsHiG5(q>aj{^G>&k#Ao_&%oj7w{m&gZ(EdSX!3GqzLjFH9> zxkTTY!%G`Yros=?18xq+Ss>mOrQW+Z?;;T&s3$KscR-$)q0llje?D<;)hhCn`$EVw ze?r{$dz)eRBqJ;D+r1=soS@77s!hO2%)xJEj1Jhr%5Cq0y&`}EIo#?&1$Cm&$>iR* zG12g&qNDV;nme$6yq>;*!c?L@GplZ8|9{Nnf1l@_Qhav~aeiOr(d3Z3kZ1k~$B0)W zARlF8R7bdly5jG5cB~tx1bbMRVrg7H8Sz2Y0=>_#y&@qGA76%-{Xl(HaiG2WK>=_R z^SNC-;{oE?8rB)t&uefm^Mll_g=7P zO2m5&2_AWq&97y0;HfGW?UOUTK-|k0>N8b81%8K;+~BE4M}Dq;_vvqM%^@$9;?U=8 zHKL#LC0Pgi**^dH5uQVb$+~OSaL*F;+h&%uAI=d9YDec6NF&e9EFbUfc@uIV z6pfxR>DTf^6l%5*jLJrrP3>RK<@ZbrFrjj z!1qd;?}jg32)Pzt{qk$%27*rwZ*(203VyrJcf`}+_pr0<#YdKFXd;fKK9@fqK-`xh z5*FT-TY`A5K5dt7@-jMb8l*@KpE2r8g7(lD1xm43kGbNjO(M^zS?HCc+#R z|MUdNPZ|HI`?VI}8^P(1pS3N3-v!eswIQQnr#SulE+61R@7V3ne#G1->gRJ$4lS5K z+&_{$HA<&S9_v?NLRD;>h2L8=yXo{y)MdVjeDCKrfw-@3pZUUZMmS&3Q@h5F`hxh9 z*TxK7Te4k*oAzQNK~q&a1Q;icoVAk zsreCpA)@Kw{W(~VN{>}8#=F6bai?k~4BZB9;lC<#4$VYeJH6%gmwU0RA#WG9SZ&{= zi}|%)47>IbezRsv@QKQ~$a~k>eKnpx=!)n4>C0ZLig<-GLVbF-GttL$+;2ttSJ;_4 z2i40v4}g!T_vVgU;tn2^cK_Ek+aaRw=7Eu)q#B7j+39|@0aPNdtvPg~pp&>~c+t|N z;7rs3&^)&BzK$UBL8BJGw|xaa$}>34@-ITYmhe^l*i%G4Nwl=)-l0b11M6}hd@3q{ zpAs2M^&cHg;BT)78pjCxB)WZ*HEIF!!PE{lM~&-59sLda=EFoE&zkt3vzJas-H$*# zwYI7Rept9==b@1f@Eekcm!j5e2d=Ev%4|2I!B5eYKfmg@;)3~QoIG_w1MkB-_Rjn? z6Z{PC=c}4Ij#!U6b*lr)aj5gDo$#d3G!=f6HO?Vo^IO>KvbF)^1FGoj$d5LUmbta= zUtTLQe8}Mk@Rw*rxWLo<^;PVfPkx_MK>Sb>YWey|IP&_n2`@HZ8Y21{O!u+hcuEF6#g32T1XY7D z#kbUs<>jGnl^a_6!7D2Rauh88LO~UE(408Uq43#6y;I5_``84;NAw>%-ld)=>b1jO z8VfHY?i9S5ZgWfvc2RtPFT+m}@q{QMUoAQYcAar=ASdE9@L$Cw=MyU(;xPZ>$TO;1 z#JvDX#)l_IB0hYcw#u;EjyNA4HgDOtdIAsGzZZ0Ja6Y#7X-b3RW7OaCc2LiGlo01m zBWIOcP2@HG_KlFcgY#1Si=!A4qK`L^di!Z$D{u}!L%Tj!i|CgmdE6JPf_Q|dH>I|B zE9CR_p)~!$Je<2M`L-i4x{&D8X)J9&eHP*$rpY^>R%zlsy|{0$?;j-k>Qf8lU7d-1 z)2p;^P2GzjkDU2VbL=25T<44LyZ5`|b8f)v?LWYia1WMJoLJBg(HaNU9zJjs^;TKi zy?n@rn3ed%Bn0bQ$(1ypTM1kv;xV0SJHb2hwP$6p1_&ItuvXXP>skDsYxjcjL|=OT zMBTI7_alCmG%a~EVH|kf}!Vp2-p7UUS$A#BiTLP zKWY%XE;H+>g`F|c&oAo4hfUI`voC$#80Fr=m%>Jb@YdOrg)zgz3Ht% zsC(dhdVX!Z3VmRoirX%Iji`U@c&fPU2K0yeZB=GpjxF?KYQa4jSE3(5v5}|qa{M0u z&Mqb0Cg5WF*Dd99egn7i9xCfwodu4oxN-5yyScXi#v@|;48`~07i(iTeYbHZ@+Gmi zwjP-dJ>@^VqdztZ{GLP{IPUd+oNuj`1R3$y67}L+K4>pIjdkW7KReRL%*M<^z6wO&5LM}|x&837mCFZCKeBRx+}!T@eQZ4P-ZY_b z<>pM(1+d;`nk9uJ4sA$%`Q=s;@DHuh_FID?{8H`QAafcjSl(NBRNb0+45 zE6#WDPQQ5mwhKI;c)Ozx+W@=*mC3$q6GY@o3giAZpG5te_{qu#tmzpTFMYIa*FEen z<(JAupKnCn$8`gnWl8X(wNGmpw#$KYsO@XIGZL|1g4mmjPlZE2YP`R5)*GU4s6hRk zlhq647b_3WTkdCxcz~C-)^m|6=FeVw@8YKtmO`JorwY9lw&Hw;WHtRtu{6$2(jLkNnI1zw1EGS)+zXYckE{Ljq{p`s zc=(OmgA&)3z+J-j$DVduiN2>-UY=374?8FjjY-TQo@a?bq*r3qPGF-ALWKh2XJ=vNjou;CFZxy6pb-;A^;Yv7CTl z)ZYo36?G$&QEyi>e|F%L7sS1FRTnl-FUR`VI6U0m`3UmQG5kE2?m*m!x%5KfxXA=B zHfO8tUo|$~|KZ7~v257qhNjEh&7^^U{0P%Eb-b$LSb+joH z^&1>^qTF^x6w=l4$dHRe9) zoq=zNdxLIkh4tMf>QFPb+-alrINtyt5i!()~zUCHqv9fsIX}i}Dc5Go4HQsX; z^fvqa-O|;-)ASK~qrcsS-1BKIIff5_Z>uYki&E#HZd$0ib#dBWhYSG83ez~WeOIBAkM99aysf5K=kV!F~20T5qM6lCMEN+7yN#?#;WJ{ z{V|`4ErwsyZLvSxaZ8pC^`Y)luwgGh{A4`V-;~L)d`aYCEoGi8BzQ#T%IyOxPoNj< zc^}7Z5D@*YMw-YCEW`SWs#2UZlnI_w9M0b{6+9->tLc{g6ueJe`10vqidb)^gUX$O z```gn4Eh;ygIvw@!l z`kmG{6Yza{{OZ0TJ>tH~`T2G?Z@|t_Z|k}o$bj7xwkNimJSX~5#kL$(9|v4k{bb4R zta2j%cvIeTg9+mI{6o`j?iTp$R`A~7iS((vazYdQnFM{(WhrvS%RHJA0Ns;HdjLv5FAb-g^Nqr|cjs67{ zH`I)1fv(iXi5*MBd~^(eP`v7eBZTZGt{CbIxtqGmbd7oqX(M4AHlxtSMbdXEyvc>-2)zW+vEQ zR*`YJz9o1yM&6RPW$XCF*KZXEJWy%155HVqEOG*RsHyb@79qFZifiWgqpKw*MP=C$=+V=fmZ; zkh}Re-Fa2u8w-r{Ck7Qk4$JNCocUlx@Cpa5n!W|Y4hU+e?NVNgb)<1EdK)(peWy)@ z$wN1R2djeCp0S+>yvPbNpP1GSz2j-qXPJcGz~7%s8}0cP^&@pl>bKtw!0%UQ_j}ro z2mdHpx4y7*khte_r=0$VDd3S9hF%wsmJ|Jwx^8mRZ-SSpz1`K*^8t8>Z#E`d=LXjE zjZ?$SW)JW(RYwor2uK9J(XN?ffqac`LXyT_l!_&#@5&DNQx!7ElMsn5Q;rF(c>)05n;%#H91!oc`9H7fGhuNSYXEq)@ON1qlkE+7r(dIj9;qTN*D_Z;t0Cb5xE5?H_K zPay8G;v^hfmcj$CLvPu&mGT?U=S1fD7kww}=5n6tKuQzdFIFSa*}hxoo~I-oL!+uDgoM@R(|ySO47= z`JMU-gRT1*;8R3OMx`WO=LxpneiGJA;nE#{r_w^~HKV0Cl&j#>DA-c7-d(5Ywsy`O#0ULkcB;xb`b zTy`rLaw};sOWB9gSZ+BH{bGbtp$30GATHu8A90}8jW~~da^9rITe$zNes_LX z{|5LWQE_L}wI2A1n)}{$^1bT#ed;!g@afoB-dUTw!hPUN#rY>p?r1>HYA2ZC*m{1*!x<+xFeC8}6Q4i0v_~Z8+@hCrFe4%a$a7W$W?nyHpu|J&t^K&^l zz^mmE9;Yg=Azl@FTNVwa058*wF4Y(xgPvCTf789U3;7|*c#BW85Y&qa;+%pnKZo67 zT$otoQ#Cj|X3zCZl9MIsVY+5*zOn~)r2KYBYY&ac(;sY!tnw!M;s?l6S9Bs@B4}}z zc`XHb;7BcNp0C#=qfZqsKwUu1(~G5RUm(6<1$4-X;t=mK#XmaiMuO+99oec7Y=rd^b=q9D zz2^#fx|mb@U@38rnrP*o6U6bF=-WN;bUa== zTQLXci5faY->S%a%O)=J*!vXnU!P1>x7LFF;+NN?6bevRzz@9kr#c7un0k4)!I%u} z2R*WH%8V4E{_Ka9kXKKfTe$7Hyp~SX=h=RG@OCEQH%u4H=w8agcnL#q&;3Tsp@b`8JYTzAF1oP^Wu>Kl? z=m(lBnYEiZm&f~bz+S-s=QVi-ho+>=ft(2rehTwz2R^Kv>aTS}9(r2wI7+LofQXxY z-W`0ca>!^)yKEThgF4Z~N4}pKIHS!7V(1ai5 z%4S_Vb{G3BFn`qb>Tuccm?Cp0My(g~p<6ke*L;rp_L^;n%}=OcU#W!}?FS2yUtvsf z)C!tJ;3tQJO=WrDXQ>Qk>1SQkIaIq{^%}YWTtNTPt3GNGcrZrehlR6Bv3|5gQPez3 zq7I>(+BHeyPkb)BE$8?wb5fL%P|S zcHkJ!blJOs3z5gH$h^JkN(HgLG3D>|*Rt__(ch;Q6Cp43yVOJUJ?PUYqUw*&90Jc) z?RIkOy)a^bzR@XzWw4X9q5aIob;!fBWn_cr*C1Z6dCu_|-$>ls5V+*Q>oY{X<))h_ z6h6amQe)4UT>Jyx<<;QQ_!++;Z}h!-`k(edzl0u#AG}@#+#vY;M2$w+VfqGdrx&_nTM?nx)TUO#c(Sz3;Lue!s7TmY@Xv6DwrcTuml$>EOQp z!#A+Mm4eMR(ejY@iZz;`gGQ8Y@nK=M^+3cW^fn@%PPx z?_c)ed7N2ov5KnTIk{R>29poNo>bda?N)k2^fB#7Sz0TL{T9FF820Wa_>ki6zcuRr z@>&&RbZ#yEjeJ9S@}lf%Ik20wh?usmqlte1nyb$Eu0nke&*b#Hg8T5VlABX0PsYn) z-pq|{qB`P!hy3tfmuT=V+}1gEJxrnxv_Zflu_71i7&E)*jWP0=6%n;s9oHdO+;QvE z?lXu!6_a=;D`Vjo8QG(!^=yTotD-*V$uA)A=%+Wmzg2)gtJC9d9dRN0C|_-*w>E=M zWu4Pk-lz^cD!6d--HT9ptWO(HEB68TM_zl{o$XKXd#^LDUr0U+yquNFKbpfK&Jm@J zWgl3J`UvL8oyVfS!p<<#ymWP~GVp!<;2{rx;0^lvf?Lgt@O;Lf>7goD5FhYIh>v%r z5cgO5CBGN&kQaaLIWFVCX5?M#{BL`D$eC6&O7L>Xe(v^ts zL}r5)!CdrdEHyb@ah65gBm8Qu<>7Vm1NAK&)r`t{UBvwmimPrms3YIUJNS<3A%S0GZBbaAG6UyQY2g!G^yUMfaVP5C zxRplq=eky0WYdjvhSe(97LQtu_^-^)ly~_H>}W}?Ffz&w@nxk_OF`!+$S=ostDNOD z=!-C|wO~3Oxax&*ShR=V66~LgVD8tK#QM2S9j!#zIl8*T!(&T<<7x_6lNPX$|Do^l z|1LR7^ubS%vROsN^D1-u9&H&9`%or{U%Q{^=O$iydaBS9b>zYwE|R@XuopaeGeMm6 z+2L`+fuU<29OPH{4L2s#w5-OM{pon?Z0M6nFSz26GVC1B$wWjwPuzboe<<8AlcWx)p4!GtD--bE6|)ZB zU3Z+QyG<8coLGzefndGI+E5$BFM`90K6c&k+m+3??o0C#Z_$IPnf5aw&-7UyGp@@M zb>WF;oZF}3eW;_9H_w?!)F)OYkKHwesDrstAAYK@1)rNQQ#3n@d}H05IIodU1Gjda^D&92b8VcrY0qEyLsn>!srS~e zgj{zA>`cVI@Er3Om9_)lvX1uV{$4`V7gU^#bWg?nYM6dkx8H3=FpF~d4Spr7XQUnEgHa-gTzsCe%RxSdo*Pjg zBM7{|%KaexjO1tX>TCB9Zwfw^wWS4v2V-SFx~y13o}YNWq|eg_`!!WYs^uZZ{I{bF zw))x*k8{&U9iG^Vyfl3dOS<0%c(poOH@y1}dw48fe7ASP59q1Hi~GXr1aJZE=K2Zx z1;lyl@b&wI3(yZh?D+2Rdk&$8SDy|l_TpTs$X_+pd3Y}gS1h1iWL8V$Kt!DDNWBp-73fa&#gPv&=0Yk&T56N1dci3xPJ>3yd?jktV6E` z@^xhjm$RL!iSsyDe}3Dsf#|noeyMz;C($oswMvoX8rFweDBHT{fINPG+0ea5y^yyu zHTeLyAjprfS!_7-4dPM3HK`rz!eFo1w%*ep=m1w%t(a$-E+Kev%8LCq6yhFlJ;AG$ z-=WVnuTM=pMumN$bWJ{#;t1Tv)M)8_)J6Q>`6-E!NpTprl&6khiK92`f(60Y5Uc zmK|Nha>eIHS6}x~P-j5v6{NOb2M@)bs=nj*0pkAg!8oB{D)`az`+JgQSVZ6KC0||_ z5_Q!Dm*>TNxC6epW~9#UMJI@UR@RF9XFb8WzdDhc*_JhgT`+k+SK~A6h)8QB>mpHK zR6VW1W>YiK$6GOEvY#&GsB-q>Puy|HZ&2rNzQ%t~+`k>8{_3$q2ITDh7t4gZz`u;D zgNFzE5%1OPI=yM$+Ce<8z32P>b%{24LCrF~c9-Kk5A)oHyFL$*hpt&gvAU{+I%n#R5Eqq6w^nggkE1W&_Cerr}JfxL>Y9-Z z;@8BvY4=EV*L_4EMp+hf$s*`0FZ9t*@h9jb`_QZ`UJwy4sIKsNAd5QQic-bCXA7WD ztfRFt)_agYX0H4id#URNo;TNf<)$6Py#W`53aTB5k2tLzm4QS*bGp>xtj(Q}SH@uv zC0#k3i>RMJe{}Cs#OL(t;;d6^V83a{_F09U2M*@hp1;`~2KiyG;p8n{O7Kthme~`3 zPWi`=P`;)$-I#~CvEa`f-jPhA&zYKzq334e{_MQvCz9qu&vR$=9(UM-eao+%mod*B z^Q;l-#my-q&Tj_AhrU&VpW-YZ6S1lb^(y7E(d|nTu+BB?<=%3au`dEI=Zy7*M7;^? z)6>W5z~fba-wcc*_`SOL%8sc|fWNrK(grnR;ANrlSdVRE;g_ll77t{p1J6*L8`qqS zLtQWX-MJ}=(%2`~>JRcUd%=%au6E3&6ZJB@dp(Sh%dlIb@40_c`;cc%3tHfFd?xZc zOu3Pl4!$Ge_$7Tpg>~>-!h{Ro?kONX<7_WUFHS{VEU{}Hl8OPo7sXv=y$=Q+s#-YV zdDK4SKdN_E+@t0}ZbcXNapJ!acKn-@Jl}Q%!E^T|DpYM)o5o#E%?f75|@Ih@W|L5Bf}*i{E1icF)?BiT7i$ zqkp{qLG)?2o15gGj`}o4YFpW*a-tvhoS%lX`h)TQXS)n1N5C)g28*e^uMn@(CH{@A zlZkpemqRCpB(C_p8Zj8A`D0V#D&upMMbV-!;l{ z)k*LT<&kHtU(Q6lSnC}TU3nfjR~Vji#UTauffxEkiz`N5Ht*5)TWhX@CuhCTYfO+M z&Zqa?p>{e02MMJu&i#CV_?Y2*>Cja(oD1f>`;wxw0`EiJYqT!+8uCwUg{(`NGP8!q zOrOK)E!?RDE_#C&-l znwjkhko&qaCHn5Q;QwpZ`TcpRjJz)O)wh)WBZ<1;qj!7P{Kt&{pK;D7KfaO&;n%*X zfB9RFJXP($gqd#Tu;aXEPu`go6Za3C`=Cbe$Mh+$=c}WZ!%kFNe!0+CP29US^~{WyG{mo*@=11LL-4MA{mb4LGjaZ0 zH0NV_?kwc#V|Pq4znue~j8|vO{JaW07oXp39kd$pgzzj|eVifWS$yrYb<2u%nHJ8wCc^z#(F9IhoN;H=wVAEfe*=A|B!oY)Mp}hB^yz^t-hm z_P`EtmHtHM-o}0j#^gxuN)hK%Vr}NUVy(u0b$ysJz(TzcMccJ&i8S~5pzhV8_;=mq{%nI!Od;>K8!&L`qLmCBsD z>e-mTD4n6Lw+!dM*h{tw*~f`KGhvBJt~o>>nyoAO#l^56VmW<@pF8B0EjSpQJ0=J3 z|7ZWDX}MgiPf5$TE36j${chQBVinlwx<2{=={(>jNsl{r0G68Zvr&2Qk<>(@qIc5sC~u3a3-JGTt>yI#fIuIDfO zpm?aj++!M1pZo6j-_}czCm#31j!3zG@71kYarMdLMX)=(%Ee7(x~NBzD9pG;{S3QW z{V9bt&5GzNaj|IB*+}qfqNvP=zSFX>F7Fmi9_@$opEP63+x~gT2e2qUn%XAd6N^5Z zH;=c3zpNZDJ3jO}Q&ylDj3>ovy)R^FN{j?7^Mxy?x zMm^<4#8JpaiOX_PA8{WaWwVTzrZ@5t?2K5daFq}CRayQ-ODEB1vC>y+QnD$&e=E6Y z)hgm#DbKCpv>SM>x*&DgSx14lX+OV@Yng| z|0ui9VRx>JzTZ<2*vuB&A5tOyFmBxL4gOH|T?~X0EEg-C4~4 z_mjeBvokPOy#D5cBX|jR+d(%MSLER(8@*qzQ3LNLn0I%Y_5x!4Is!DSBt+g>=bTBW zfVkJ{Q&ztC2~kJkJaJ{^YrJpeinEI)V(iyjGjEL^7d)ROBWqjk2Ha9#ExT*_HKI@Z z)j`K+!LUF4_m*#8cEgVHf`*hYZU&BHU;N%P)*t#&{`K)(~J5kp{Amg(`Uk-seO3kO}D{(^~!_IY=BDzn@6O&6ZLn3A-B+(8nBO? ztqbPNI0u}=nkzX=-vu5{D0^jNwlvX~|7XRB_kD<`xZ^K7_xW-m@7JbK=8Pozk!%|C z@_ZuXo8s+vf3`Zl&)xo0%3Vty^ND($J~|FOcUj{BJ-t!HJ%`8Gl+XsR-Acye;fGP+A-ALRpE$7L=$3qCguaLvwLcp`oDoE1#ji2 zuh^`Mb=vp)_U)C36RY1On|7$+`Si=vDWlB5XICFO@%zIk;ym};BBiKp;IV4?^akfL z$Qj>${fRB1MBUs&Yt4zhMBl(nId02a#IfanH+KzuBI52b%Ohef>Pu z_vDtLAC%zh)eiMg*qJ)BId?p|!Beo@CoQvCj5_3U&CuEg7x3{kBi<3qsdyf%bIo?` zaKt|~bMk7!V^HtJ@_la-(hT0L(mAQQTn2j29-}!~eqt7We_^-!PzLNGZ{8c_sr}$t zStc@Xp58=V1by|HJKq-&=d{6ziGIF+yAz?*cVU25i1;DPD+Ha&h3gx&pc zoR=C*;LB&(ALx;$`2CkzCi-!%*x!pS>U~3q2Me3;S-&qL@^k!VsptaK|5f>&d!C;{ z)J=b=oUvVz=zqLAAZh0IGEkD=X25%yIf3Cjx3i3BR-zgWFoygy^ zLzCaxYhb^q)5IHAWfJ|qqF(GuYKK1Y3{_Sxt3rG&k-u%DRo#vCc-xvi@*?sh`M;&j zYm3+DK!%C=0d(lYaelLkk`^V zuccy;SidKNm15L?a;@|?%B8@*33H~|wtm2Q`brJ0bH1Li58R4I*~5R1{o_aY$(tRv zJw?3)_0WU;?V(>WPldVMpkMIkl*;sG(KEzJ?4u5&e$%n8`8S!?^P7nK%XrB<#A3vO zlFs6rhC7J+(gMesTxo@#m8MLSa@K+#P+}IRTV^5N;FgB;Znh?P8!sJgM@ypr=PHL$ zi;sX`rXM(csm3r1?;G&kddwl@#q--Em41~0zlz@x`+ zm(ilu);#h9-(9(>Prmdc^t9eqwt~IoEPgN6`n^dlao@mN$}1J(ULM}%I}>Bsws_w7 zPD_uus3)s9T>ez!BHo8Prq9Wu2YKYGu(n@wM-qJ%YQH^mGe+D_{~EFYW&15SS4`JE*H^m%>pD2yt?cX~ZewuS(i&5J% z*cIlPWq%I;2Cu}QmS!9}7J5!Q7Ok#!34Ts=eA$CydE)-+6W1^JEr6bte?I;ttYYTBtRQ{_|X`Zk%qIWeiVaf1|G|toEd1aN4&@73YTpqMUyG2%v!UHCbFm-rJK+SN8U#LUwN1Ff`S;}IN|!mF$ZR2zP#ue z>EdGG98T`WARZIEFQ@%raQ!!onHT4EtnDQFGkAFI3;7AWU6Gx(Y@I%F9{xlYQ@smy zwyY3Q`~%|N0-o0Lu#>64t>UJWjjs%dx`Y1iZyg4Nz2hD-QTPfw&pQ#ip#2$9XQI2> z`?xp!GFz@oJ1u~y6Jh=>Jfs;9`8&VDduIUZ*QhBP+3HGI9})k%tS-^7xH|K)k>rs) zzW?-~{Jn?4c>V>=#v{$}^8){Gy_n+Yn0ms{SevgT)=LDpA&qy zQ{MfH=nv*Fp}R>FJT4>Z!MqO+W@wArliy`#5}CJjX8 ze*y19t0*#Hbwh4x21`d@j)Yxit~PmDyBqk7pWNyDHwmBfdQ$b8l!(6Q7g|p_9EII3 zV+C$XU=#H&2NoE%#}fG8XQbMdpNOC6wSQ!8U&r(6{(4pH354I`n&@ATX@#BRuOHo~ zt_QhjteJeiWeVa{j+l}7O$mNe`28^5MHhCQ#<*NDv=1W)(&qu#8y!0){JWd$plh!?~kPWCQ6O7uUTwtUV4dGO`cj30BF zz7u)Ki7xd@9fY3Qo7WU1qhDElw^>`1FVVN;vyGoo33$7TcvJxP?c!>J;yU&}%B4cC5R|7v=F?>jI6eUP-JY~4?ibHqk%s$_}eSLSIGd5pq4QsH^2^L_RbwK)$Xbz;01+ zKHit7`771Y5x9!K*i|Dd6#NP`jj}0fHuO=nfADw0F~kG4ccN4`RzQEba<*$bn}Ev& z+eVs>BKGG^>czOHAAo~P&**QM(=9tZuFFpE7=I)S`!RK>a8n{-zo*-d zUZq3yeII*$@e~L272?Y|rD%mC9ukkA)l~M3=%Y%f^|o3PeIOtG6nPn-K8?SmX`)}@ zAl|=Y{aceE!qq@FS;mJ+-V}T&R$dTZO z1xI(Ev?)Q{UnM>{pY{Yi4C69Wr*;PF3K=fevu@6Zo#737-8-WRJN?>Xq3_x_;HB#D z^Lj(ts6SyoX%ta>UbXeQUk4| z4(lo?vA8;872%g&_>FZ?03PBm{3B{{gz4Z|KFqFJJys`5)abD)&zBvoaTZYG+!xgvl4$>T8=pKM+4{2F$QbCPqqxC!x) zsHa@-lsCa!gy}8NNx^)oio*6YKQ-a|quRpx|AE8*wF^<#GkxD7&&{p!98+iq9>Sf><%+Abh;iqdiN#*mu1D9~}kD6{(!kE2y4)2Ty z)~8l4B0IvJz@bM~=Y1ghMeuKZNZ6DFzr;T1P*atI&r5rU>MLV_GkKZPm!2#GUr^)H zJ#H-rd3gqZ{9nP163kzPAFNgao`?D?ZB%`PJmjnBi>>)HoFf$l1Wav|z^}8;^+tNT z-GF|E?$k3T`VDXempX3FAkIPm4!rX2CwN^+(X`$967X=s?sE8fioY0T>sXEl`;4XXcsMTXE-yWE4@sA&&{X9CS za4ztgXxq07_lUYY%4{bq>Sv;lK;pojHW zYl@eibHMW|W~Y4KFa>!h2K{V6+c@I9=+XFq4qN0Gsyt49Wktg8Q5}uDpMC@$;oYQg zHSefnpRbffn$!}0V*knOQ9;0Ktk$0jn?3ORob@Hz*S{l=%E>Nsvxy__Uz`8i=+p-I zm0CtX0VfD{f-fpMcsC#GQ9GXcNZ|qEe#%(k_`a*~YuqV$O7F&??tmwZlhSy~#q-8X zF7(Vn-}1^*-!1FbgBRmo;_PoQ9mMx#qMNr*_rd2sBs(^_0MD{FKYp8d2=6O+Jo+{5 z3ej&>R!b%}19px!-B=?(AAXTn8#UDU7|-Wa(LxpcQP0kGUK>1RGv2r2LBU*AJK(Vf z+1yc!m5Drj+V(}S?-BR2U#z-!s*bRu2Yss~&9L)@!cE)X{ss>vv|5}$w7m?^tC2f4 zZV7l(-lNGqPHuOJ-?w#|c^-Lff#StX-eRI2>&Uxn5Bq?htFD{qw6$S9nSW}OXT?(iIZ)E6ex=oMssmV`{GW?-?q$kDeixN_Nhw3WYnWy6owATe){eQqS5^Zzi3)C7yfeXmQ_b## zCJ}YeGzODqtxM#`JeR~)4x-+$a#rHwJ*}|&^-23YEsP+a1ql_KbaY&?KPHc!IW0vz zDp=q0I&1^tyQ&en3mq4tevWfaTF*;c7W20po3=NC=#z4Dtj2M5Tdeol8Wpp1&<95Q zqxRU_$VaiGdkjA;Ama1IH=oSShrDt{>o=$-!=Aie6!39f3HSr%nj7Qo=OaF@oEg>k z`2gZaipK<<5AzTg2y1)B?pQ(eYu;N}R2UHc@BJgmzilpWKs^PsX<+JgJH-9`nh3dp z?L@uJo&tl{>8+L-UpCBidrr&iZi=f90zIqmY66~t@(K>B@5B!i| z>^}EdX{aBoVqV!mT?f0)(Qt6k^n~3g-6mmot04Z6lp1C2JqWoMB-^Z4@Fn_<{hrt% zwnE<<&0)olLM1)EP1_3RGPwi?Yuf7%6WBh@JE{vjs@S}3 zy8i|E!P@atLnax+ZZV}_we}qb9xfa`q4Rwy;_oK!Uyjt9=vzbi5huJ;PQ*Xrp5~cm z&`)LsyHsz8(AT;ZZ^L4UzCgMu9dS|62Y$R%tQnQ)s~UVVYO_1+u;8GhgI*fqBdSn6 zby5y^A9}(asp3I?1;E^iw-y|A4;oJlN#=Hfw z?nM0d{~_zWv~?#Yo#A5TP_WLq`_qT#Lr6**A~n> z8+BVBdc2mguX3U^@_cGqER4G*ARa|M^>`$1G4dMf@;^ieu7^KST{kgR`V3KjWilLT zUJUtRbuB(3rVHMV`{MefnH%)*`?ECig{#5)zkRkcQ0Fdi98>^*Irjw z$G$TQkMjndkWW!JbZdXxM(DMg2qTG?rqCnhE06A))9ZqBv(BQL5%U>1?^C*>?h<;# zrEl-%)sUmwrxV7lX+@l@#x6Q>#w8*TZT<#YuMhB6<&6U0r$30k)$3n)uDAhw!_c;{ zWE1^6SsOYI=FY+I6)bLD=4XXC75iGK++RtokDm2@uZc4JNbZ{{wZ;0dgTjY7o6eg+ z5AfbfJ15J*FQ(NCC}mfm_ozE&Hal)7;wz_&tKYGRxm3q3wVLa3uj|}@Pf2ot9xHg= z=ToDX%9 zr)saeDfaWLPs&>t@Oa!l=`1}t=%xIo(2NgLiF}-{@tzTJz(B|Merz3o z1o)D&c6zn*J!0NWtD}eVej?BP_xoQfH=!>+{j>X{{U^YeS3U{X8~ckoRLW@In6wu1 z5URvYHobmK#FfkCPPI*gp64B7ev_Yp&(n`OHS(6h&eRz$kg1UdKCM4Dsh~d${63qK zc}BM#=f$6!R&nNPE7te^`N41#;N#kk_wOrnp?7&7;%7dzgPy4>n5x%t7`#lSjUZ&% zMD>5q6$2H_sl~vN^w_u!4=({nQDkGk`tC;DoTAupIPW6ruWG)<7Otuw=AWdR{&;K; zTv8a-5%>2P`a82jRNwvH2A)U2y7*^I9P-7`QEc4v8g`!+wn2q;3_J~6I?gYx6uf7S zp;!FbNr;E=UnZEnA?BeMMxI|Z^&r7_WJ}G|A^Ne=@_O9EBl`Y5myhlX-Z&F|5UXAV zUDW1`LEdQnJ*SMJ*UKxy7Zg|^9$a10FLToid`#^s2fnL4@)m0A&hQNTA>WJ;ohh~# ziMqwM6J3wxv3}Z}Jz87G!T+m!Sa}6BHYx(AGv<6-(SC-g-=C_t^Ig!z|K@8+M3z6yS%-b^Tqala0D6@x zFjOq}BKUtFY2$$7u#en8@eBL4%EQE5q&EBF;fcX z%wF>+L3;%L3)gDZ35{#SoS8kZmyOT~-awq4koy+)n=Z(@vT8Z(J^#A&=MPh`KZ5L& zMcvJatFsqot`9mv^l^EvGZ+y?)CU}VYsc6Cy-@c~ZQ}Q=>yY!f6La#MZ1DXqYu^8I zM_j*QQJ?&dXPG!3x2(B4x4>>KZm&m@Ul0=^a-ixhMw+*TOd#;)DMp@x5 z^eA#Bb!* z!QW}hmo2)x1o0t3*q;|m7C=waN;I-8wAmO^NWAZqcj2+v6eJZcC5nR zS(oy1&+)N7f!n~?)-Q-3wmj~tXnIcM=N&z=!h0Jb?{4GoJ~#wD-J(ug>HyTM`zoE@x)zWS|gM=QmEd)SkIONwALG8=Moi1|$W z^5w6sYy0^|%_WV{XuiC#txwyy@SoypKa)a;1wG{f@$Vn0@#4FPy;r zq&+hosHrFBnYg;H@ZVBu4!J214;%OTHR{M} zJ#<$@vAs@_I;@vGFxGlU`fn-c;D65zCoSR=bENV6Y92N#BY;;qy_E)?rv)&W=9ztKKg#z$~HCC%f7^%-;s^Af-3grGM$ zG5kS#c6@hcIe4NPtGf%62N1ub_wG*FzPlCQx2R=Kqb>Z^Ts76lg3pM52($Mu-%$p; zA~;1oB>9Kv^Kqf~e%Cc0yzk1*23MCuFY#K>oRhl({~|w8iyHHa=(E3tEtalD$j8+H ziqBEt8k(h}?dG*a9k1w>S*ZgNU(BWJhN%(#seaTJzWNP2##_9lME^2yR>_*2{-|37 zFZH(~CukM$E0d}D3 zTCLojI`p%sniBcytq(E3e8UFEDVLB3&G@SOt(BPDz)F+QSZ)LVg?H=v!&Q61^Kv@I zzw5Z-i1S!%epS5$d;-OxHE0^2=yNKWBGmT<&Sbyx?Uzk}UgvMR`Kady?l0p(csu11 zd&2z}5f{<_6? z$Fu*|vk!m2GtCzKB4t9?SnoR`AI7(D;u3Mh0ojH<_*BxaL_Djd+r|Am(cf4Kb?k@Yt823(fd9BX zJLIwq3BR@RsOIWHf=~7cweV~w`pyM)tZCvP9#nBN?2~F9^4)p0O=Sn1iGIHKH^iu< z5_O5Dw-mIx;g4`HuhJTfgPx~NI(o-q-#p@dE-RiIB<8bSe%ZV)4>*TMTexDj5rJEr ztgk$EL7xk@(7T5tk30yP;EYSR7xYNu&mDga#=v{L8Bnvye+qwy{d2|Ym?f~A^d761 z>*8VO1lybLsE>yo5x9PyAU_T~YBg)o-ldaamw4m$sb)B$qCU{|XM%NOpC}OVD z!KsvxSiEW-1@h69LawJ&G(h&qe)D`Q`mVv2lcdR(y5N zCZb%HGdDzj8}H4x z8xDNfRpHbs>dO&R$Y-t8Re5#zPqh-^-hCyAC)FKZ)bH~u81i~9_WmnJJTvtJRn1d~ zIo{fHlQus94&Z-{d;fDh-k+wl^S!-s8{U6=<^rcVxZlsVh5Xjk2CrB@*WzsNP$u5z zNjh6Y9P&UvDBEDHx|MjJXqmM|F8F^HuSkOeV!p|pR^F`aqyMoZ)VjQajo09J(W8eR zs9nN6t4oN8GjRi+rYO8WR^*5OXRrGvL0dq~Q+TsEGieU;A=qz{m!+rzzcN#Dr@q>b zyvfQS>#bL5M85qxG0N&eqW_IaKI?HS>_pwufy!BP(T|GW{ZdDJ$pAj@y2XC$dE86R z$h-HhlITw)kWS3f%O~pM9M)MHHN$UgnEY5bMuOI|tqPz%S+E7dw8s>*Ag) zoii`L0{F2qz$G9<0X!#v`uPvr+kn?-(%%_k!ZNJyQ^WD2u0$TUq3v?JJK#A*moLAM zzX*KGlZf-lnvJ|v9#;70NcLR| zV(ye((ozN!c9}~1pm#t=rNvMUHUK|^2RL9VKg|ZW53wh-euU>QhLa5vl!hZ=U8ro=rdL~ifu>A8k;Kff{__YgbhY=U34$qlIJ&g79X0+JZ zhN$BAK5v~XR3_?!`X1)$#hm<)9icyIHmIEeo{Ez8`wCqGeiSuv>E_eBAouKZdIgr! zi02C|DWd(0ubL-B$RA)bgCL_%Sy2YoXQi73+~_ zDP+p*GkaHt_my*wYxs%xXXRN;rCmeZnD6q-)1Vc0v{v`-tW)jCo2}{l5hNc+#Aj~! z-q<-AyaRh0v+eR%_)pZwu@s{g$WMKJOaq5O^ikPYNIzx=Jw=ZjuYIrzdXA&|HSF|U zydSeKOJUP=#AgHtuKCWWvc>16t)Ca1fIr0)%gmU2hwv{os8>Jany5>MFM67@9fBV~RsE5Y;BeLVM${~h};%%Y2P#4~-cp(@Y<`b#i-i|67Auv>ze7n`ex2!H?QeL2+-*dcYgiMVw|13viCLLg{1b3m~@w>&DPCci|ts z+bo;m6ApaFV2}^T>fhMEiWtZ^Ngvd>f}}u{cobQ6o&%Q|B4km zOZ(Mk*ey!I^3~n8;FZ{2{@x)Q@%uIM0h;cEL?3g>;PqV*MBg^;QU667iTRD!T921( zLfvMAboIT9?nE72+`OAMJBa$39T|UB41p3^p1kkD zv`AU_x9pwi>)Z$6-&F1NF7git4@BQm|5CaN=fx9Tt%|9D9^p@Kd}QSZf1oyBQj78m z@d@gCyK<9FM1QHWH?s5}M4tS#^SAHFKrag3Hm7okeE!;(R(H(3kr&PVDjlWlK%9S^ znfrkl*b!b{iefRr3-Jy{hNT}T`n6trAlaRR{I$j}=_`V&;r}=831DysL- zM*Kp1Xgg5#SXrFr3f@?2(&>81jw@h_eo3XCP<@coxmZW48G z-04D{H;&*9%iPy(4&Q+Dq1H}cR_a06(X^KFt-bK)1RKM0zsg19{Uw@~z4`)wn7>8i zX>ADn=bGpf64E;m|KZ1{EkBe1Jz96f@ZLUu8|A~w3da6DGbN5$_`4DFOnMA&gzFP|J=~_r@^#ps znlFAgvl_9!<{5KWd7dEryKPRgiK~!@#Hqc#Do6+G=j=(JJ;@mQkGADe=r~Iv@8{`9 zZ$>lZyH)Th;6n%e8Bt80!}c~}uKMPQyjA_co$MI{HUnQ5{@0G2eYd3e3eng6jaAaq z0pM5G%jlbTS0FyY((${>90-P7i1*qoR{-By+4Z(+!vbPnLHpT9&p*lhduEJ}ei#qfh!CzThDIE3Up8 zt%m5kz!~gy-q=Ibi$q>j&{<5>>1`Agn?EA*9yg8Ndn^XNm$P{8@?9LnX=@KljOP6W z9;o?}(U3~Vy7t4Y^fV{HvDJG9G0$G% z_AM7K;&zk2p%`@81feDhYpMr+d}Xt3c~xZ`xE~?^VTir zbghK^Fs1G*zuQ67Et<0araHndvU?89Zhww@RXacnIUP>)**a`ydQddkuX(i`@EhIh@Eqk7>^E(! zcURsMqJPtOYZZY5a1^uV=+eS-nb{$b=aS?0YcCM>UJPGBfYm7Yg{pVdV-5%4 zAMkBVe|?Z(;#q9ywJ;OsS1V`f;~a%Nl~Nfop@I`JpL|hcs^l>0!)OPLA0&_ByqQ;g zZ@Zqvedl@Z=9;dY@@b1*(w#$2d z!7hkslFW#e#C*uSj-fhhSG@F(j6wtTCM2EQaUs1JId47*0HEzPoAiv7)0 z8{M5=2)kR!NtJ1rAo_7klWOoebnw4(b)U}o_-O$4o0U{=pPU1G$#2a$?SBOE5k^V% zGM`1rU#Mn_Mzl><&#<>F4gL0_xa`k)|JSco)QN0}Cp7x7#gLf)!cG&_ z*JQ#j^Xxe*W$TGPFHsYo%hw>Eu2|^gznocu?~AJl^r|8HRDO`u_?CqIXK$}@I$sAp zRy|}mUGF0DKB&f@6sKEe;QUp471TZv{@#&oE$NlW8(}fe>Ca6<+`s0&y`57C-j^od zeXzL^ybIf5)oa-tqK{9onQ68j(O>pL!Sh@mQ4e0L%lV{;`UZ|>Tgk~%#2f0$4@_(o z5dM{VfW7E{+xdUzf1)aDeHH36D&;n>GV+EzaC^r|+l_}FsMlK>kZMZQneKVt)3_aa zjUUYI$vTbxXna5O+0IUgqjK$xqjfyNLvt@*k`k^U^yVCuVO~0M-p+=X#}j$P?9u+b zLn7qCx6F*cF#8J;Pt-rrp)DZhIK*i54yr?5xmL2ve}#cJ=0snvRD5uf`1`>5n{?=9 z*0bmW*=NA}w3o@lre|Om*^4HJT{;UMmwv74MZocg_`J!m|Fjqa2cMkuW~iEo=dR9< z{dx=XRI@SIhf>1E_m{Qz8ZSlMn&&=|6<4qR@3}E_Zt&+>#2jqqDm$;~;JG=QYnwbY z;cu6)q+je;1}{uYc3WJfhIj~TO~8D52hOidYN_}FTjWD>e*MZ2YC^wqR}4is99xI~ zFPe8!YA57P6q2o}umN^Z%sqIdef6wJj zpA=qs75~SM&`xpW4wHEJ_{Hzennd5T?a@*No56#y9b5N35W&vWmNiW4e@XOp7_XPF zk^%fz5jOOBQxWbZ?@vyHG!6HN;jUt_eGGb-;a2$RSQ&wjtM_m+R)7zryFBVP9uIp? zcYM)zY#q@@!8ybJ#1F_lI@m#OJ3|js!vO$~n)w>VhDrOsyRsB}Bk8966`3 zaVF4vyvX~L=NqVEKQ0xVu%@A2nbE`RGV%n^QMKX4?_EE!zx+L0Y}cM4_}7pp3pY+8 z>Ijp^?Wc5rf2}Lbyffn=>R~zKwl8_J5pq&Ggq4T~2y174w= z{&Z}d6V_LEvOLM|2~pqUlw0Gv5xfIyUg6d@2O@vGiSsq)56+8idhJHY65N~efmgAq zdBOjlshnj-U$T*R%K0tTpO}h%TD)q`NbWE2R@4P~)|a0EAMyHUU+(WT#s3@4lB<|U z^r7^ftnB)Ph!aZe%-Ovb_nv-QJf>TS@ZB{#hrhZ#7E$NrU%5EO8Tm7;y@%$HpG@=tQ9W=@{xOk<;%m>$TuSt@`TH`BW`OhIUc7TL z;1=T4bOoJ_qr`lW^5U=`Yl-|WVY~75=_$B>qUQly`(uEwOZRTok5~bJs(zX%-`pBJ zAoC}6;8;59CAcGD9}~kMzs&5u2sZ}oQe9xQw>=MboOWxS{F*DsdlxP|vg5rgF(-pF4x64%>pdDKli|5LVm7Y9C{c8oJqYgB9@^>^i>s^b>y9aUN1X1yTnx*ID=mB zcc_Yn{uaX3p3CzGfae@Z59@WEm`2opGp}!2qE7Uo zurv+}l!hK_*d2Dqyq=f~FnwR~%R%_Jd>20h_q|ES^4zuv)N3)FZ_|4H@cvZyj&K7x#80X#Cogl$ zM&5y_s=~g{3I1g5w@q6Ndx?H|yv3{de-SU_xm0|1|DSvR|2^klS-pwbjXVOj)fx5B zQ^4<{y&=6({lwfUrIenc5d43g-xTw!=k)$PGioo`EIUoy7bU%YE0dsa*j4s7^Vm2K zk)%WV1z*T_x%&!3u@vBx1|#QF-!~C?>7f^2{B>8y{wR*TX1|5Lt5pB^WU&V90(G(W zjF(dgUQwvhF1?EA&#UV#_M;M?FP1WQ{^LdPRynJRb*#Yq@mPkQzqAPd@Q=o$7sVM^ zzl+sXzhvM>!7_T`Wg+xgwdLuz66?eB%@+T!yoziykGjW~IkEcfT2261jhmv-MPCFYub*7H62 zfvD&3o=o4k0QvjXTdulKxeYu<_gfOZ>ow}LMbl4IHd+#WImGpne>vfv(k-37guO+a zighJPDL4gwCAXBevt=0(XFeNrvEc>QOI@6~$;pDq1D(J5_M>6!50m@LZsr&8d>pAY zD;d)eN8>C#c362O?0fxM9+xp4`D^USEn_x^5J#*~c3WAx1^B3O)YJX1A3 zil}!uApJ{n6Y|OFYAG5;0f6sTywkGMt-`%xe0{h^Sps;CcI1e7@mu8a za_gig8WMTUwXH8E1r0(^mo#iyd-oXLhmu6u_vr|ce`2n{XnqbmM)lnMeo73{zjac} zg40`}$4VFqa`ZgZLr~5o1v2KcvQ;bv+2n*pr;uhRgX~ufM=_Zy{L^Q`ZaKM6f9EaLH^j~^Ip==5_!2_ z9XQ=<;I9|7tmvL~8~p~T4}M>_S%CfI4b2h6PBg`S=>HbRo`%0rGdaejECjqRyVf-E zn>yB0BdB)TOZ1Op_8c+3YK-^;OMAY!e-iSgs#!3)8?8>x&W_H+ z=dYi7yLdD5ma6?_PmZbpm$a<9@V#&V`i3&)!1;+&z=!ZG7?Pu7uv^^uf;&n_kY~is zo?opNjyOT(mYSIcV~`(edC~A`OWdD|!Lc_n^5Dfd3;)i&@MR3^>(u&odmVV@!jU@x z+4F&;3!Sd_4aw;LH_rZP#i@XF{H{Rm%~#P5;0Y1a_h!5gco~7WbweS`1?##hl(=gQ zy&+t7W$Lk$s#w?N#&=Xl0GmK$zhYio!1wg51n9|fO2$D82IPd#lg?B6Ma;p?U1Tfc zMa2D_m3yBn24kPTHMKss1%4^ZpIDQ48uz|-Z^q4W!SD-t#>O3Yrb6$DoKx4xdLlog z=40BE(0hs4=fRT;E=Cjeu;xaOth$IfI%gjK&^b)-JQs%FOx^{aO0aVC^Vgx!%QagT z?^v;v$U_ePq%<}JyTs1U@0)iX_^Z)<;nW95fv?#=rb*b}LEM*r>1ar&FHxt(54fYy z2!5Km`e*cRsx;omt!ACU^_BLDJmilc0B+-GAk5ABNt|GrT^oQ#u`0)tGp1qRrKPfJu zx+{I*e~ac<`dqZq#rGXap|s6}zsrdKGb!)`{85ToXrQkZc%iy$t||`g&?EfdTy}CN z{4?g339=TSh-i2GCns>_{xP;%@_NjOS*2|9? zv2GK?eXLKjSn%>C>^57qXZeL8@bLV3eFdf$!51-BT@$(9K>ihXa^L>lMYz8emn$YK zDZpQ>N-k2md6eK~kN-?xwGQXoWH8QgTMP1jX_6n~_gq3>m?m#ketwocBY=kNo0kvq%gG!gm2FIJs%w(+9DsA}18%;ERQ zJ1kFepKUiAd}%{Yi1)Ko;1SprOR9tii2Ch4hp&`K5_zJ});LY*f!|1V3|w>V75s}T zX35x$cH|8=UWyOnjzb)eTNBe=;YGv^zrLbhY{EJ6!bORBN5KPe@;+SL+W`Dm-ST(r z(=za{)kO~!1P6e(s7E@`)qSc;DZb!i6s2rzt9z^|hzU{Cmz#(igk; z1A312BRaHkCNY2H*Z8G_y0C+lIbsLC-6ZA|NlLA1^Tm4k;T_*+yoB6Phxe4tP$v2< zKa9#*tY?bv_n&kv;4k`O2rsPK?fadmqf)*8NFob%sgk3-GQ=HnTEQ>cv@rjH=pbD;{2<>83y0`f%mDOscJIt0{4sM+By(2z{c<0eUNNZ zM({G`9G&q}L_gM}$$5tPI6ropc>Wksf53Hrc}9IXk(X+!79hVCd9>_<4%R7lkSBh# z#?hEW;Nz;;bdAcz(DP;MWmfyGeu)2%>GW|}0e_F->(1=+ z^^1tScE1UB;v zLHw?&cl<#OefVb_Z-v|UJ>VzMR>oDYiUNPY`MKuh^(Bz6mXnJn0b z-|Cm|Jo94%@O?woY}nOC+sC#B}dc?`=e>1cvSS0>?W~^eQt12Vjz&WsW=7AvC^Ts-b^hXZJUlD{{O{rucZ?Wlo zi%Oyycmr1IixDOWiQ&@)2&S?-*b967(=__jYmtvsu=zrNbv^E7gZA?iW8#FKRrKxFYk?kaKL2w;1(8=QG>;So zDu5s7%v!&4MIQWquF$l-;}gz{eREgf?g=gmKhbH-YYxUWHw4|>&i#j1m_qoRushqd;@-{v1!^jUm1 z&Z~8W*R$9Wyni#*#w~Xt>_+wH{GV2x#QhkU&{}a0^39H#&!^g<&uPO?sT>6nk&o9m zAhFXNc?eD4`E%!Afd5Ogw%t0<5WJCSL!-Q29P~Kt#Itv&mtcQcrOppF-vu6Jc04jW zHpv#}qbRPodIvG5;hy%g%(KYXq;WT0dLabvs-L)W=Q$VXnR=fM#r=H z9Y0O0i|Cuez2^SJQU?5mD3Kr2S%Elz-I@cp@()4(@GK3#>TBb?Sr;EL_HHEd?ey<{ z_4i=mexP{l1kXK#Vhu#okqk@I(!pa z4uJ>ZUG0BxUv{5z? z_O(UBVZFjN;OoXn@8yM$;WxJ`FaCYT751LL*Q@e_GLe7cAYS2r1%4o}H#dFGN%TPw zDS2NX{0;uGwtk;Ns|A67H0H)D?IrGcaQvKdKca7P@csBaIRXzJdt0$85BP!Ze1@@r zPvnai1Z*4H1fHT^_M+PZZSWMLSd9Z3bKu|cUitjYyoUW0Y#QZ9q!N7|zMH8(??ilq z7i{6NQ;e8ntMoYWY0f!M-|JilzL}=>yejz$(U<>a?(>^A z@ISbFD@=cd!vCZfuXnP_LS86u!gPZP(ms%nttTgcYerpPi`APC2Nr^Ns(-g(>CJCM zzoGmk9mWkrp0P`3@QiloO?uvIy7M7o-a@u?H@6f1i)gRK`3ZKwYwYAZh2qPJd?Nbu zfd(JoSN?Eo%eQU#y>dZLs<$Kjr-mwt*A?wv|DLPvb~W86cuV$u-b0{Z6Bek?IGT; z_5C^Va@f_ja${8!OE%V9w;|en82N`y?}G33=%T)e`tm`5%MH9A%arbu_OlJ^eNcY! zqzrHlcmEUCjc2g)O}l-NyWKs@CWK%%)4~<5bP$yDqd5&4ChZ#ijZtx zh4&S(MQ-Xl!J{#CA7*73_2E7*U1XoI7yc&OqgXYx1$MuNI;8UZ5%`;iy9wqI7m57S z3qvcCE)acpX^*OdnDzh7*W!+@kDP}%>V1mM^O*~P$18SBGgx2^y;t5K(P{Jt{A^X7 z_H>nYqTkT+vJp>t@Y}qwpWo~z0zdGLv+_M`@q26sPm4?$#HDF%Lnclq!Cx~5RGS?Y zh`hS1Iti?e>ex5-C8bvf!RPTJ<112s68oli??UGZ@W&j^%M+dYh)-0_ytyHFgDK?b zs>d_Am%v}VvS)2wBj8u7Ej%Ndrob-n9Mx!XpOKHj>u7h09me-DLtE^V44WLg9vt_VfmB`7bbx>EYpnC($7fYP%!kiemobxc6t^xrVegS!E}HI|MTa zt8-pMuThIu={jZ71R#MIOVVafH7-qfck3gy<63Xy~pJz^_8P(QU790w*P2j?$z3uuhl3ASfzbiX+}ryLRvEjZ6YJ#(sHti0F6A<1LE* zPQm@;UP9hNy3*`S4{_*^^5*6VH>(g&V5FS3H{`-@HI7j1vgKs(`E`d^pG-D| zyh(kO>vJOJ%`R+N`MU}CwX&ri+Br@<9X;+5d1qXC+$gsEaC!n*CUT! zYj*jM9pUG$IWZ&!UWB`@V&B>>BHyK9&AK+%XzZInv~Otu_%&wXuRzsj_#L|CJp+YD z;2n6r>St~lLeH@`7ag{XdWh#)AAL%h;9)2|nl@K%pbrNvV}FS2IM{oJ&~(~_Z1}D8 zGotq6Ux7E6>lI%x<|F@svzK}FsTuGZ-!88HXEpRVMe9z(zCPmKP3rj4&jzo@?yuUR zd=Y&jYSVt2Y+j6e&0Dqqa+e460K4ryed3;0{QcGEt(0lRyun6i-7P<$7umhx7K2-W z$Lsr+^n^we_0t9xLyt7!=QoDc=)SOn9jse@L#^;Wk;nNeM}cv7AHKhE`D?GqkVCfm zfh{Z3f#Na;cwDr?DVP+!M(2E8JIHbyzakeR!87hMiJ4My`|#)U^x8x;v5Ne zl}g}*dUboV126Ia!u9>)iO~>xi+@7TW=4%$X*UZ0fvaskoE-+cQh7Ni)b$4N zvaqS4=8qV7%<|^`Wxoi%xZcs~&0lL9?3Yo=(OZXo@cmJzpIz|Ae$prMWp?}_=96fT z@qaA=4_X?O_dCoNcB8D6d4=f;|AlWp^J5>;@0mCEkzuwZ^kR$2Pl@pc&}$_$QvvI***Lj)@*2c98-g63 z9=HgcUY%#WPJa>fLEg9;ZPj$#XYRedCtYTPC#`$1WTMv=_>)!1U-r*1#`p0hx&6C& zuzSsG)WT++M4c?#;{DTigU}x|o8&uvt0BLyb|eNn-a}l0`MBS@yZg$2>`2AkyNbdU zL_U*(al4*J^uOoE9E}`RBcczoZoX-CL?8Of(J;?KVxD4u9i`wf!DIOSIyiR?_LDtI)joQL$kSEzNH%#fhV|G^ zTX}*G`C#3y3>cM8{P$e{bm~IUC1RdtNt=$$1Ki_s-zl@|!+=LQn(xw+HiHLYN(WTG zT0zul)!Ni9yhh~nWG9{teFdI`{)!d4$ND<<&-GkY;1uv2oZ{mbn@;2Rs^%TMoUj)D zNW;t1n{6%=_1tdUYdO!rv#~qxF8DN`$d8*vk00C$9`7UJ~|_=ttaTzJHPycrz|lEBTKtcwXUy zfJ>7Mkw3_~V&`yZ8Iflb<(RWj26kJxvTDe4KX`V!^~BVPCvhKH+tbGN68VHp4Qq5~ zp9PL-N|q^KatZZu%;^s9O>LRD&r43NeJc+ACi3_jn!nNZ-*cgeGwdQk^lwu)cy-AR z{wTjeu(&{y$glgHp<|;3|BI97@@RG|^51BzKbDG8C1t;KF7W&WDT;&&y_q#uDb6E=Tah;2F%jH6%FZy4d&ppmWUuk`R zS%+BI9oqBfj?ZI>IZzefZ@+jAJjYm|(6qoO1K+oKvT1x9k%w8fVkFfNctX^0Pq@Mv z_f~YgqKE1YJylkufBLEs;jjH-x>ByN|2^{#Oy3qQgWs#1xcemE0{6ar<9n66@wms_ zy^VX%J|Nng-9(+&A@$RW8LIc3YZO!5=Q7P)#_f+d|3^FP-Lp`P8bvW;FxA)j; z12=H|N^)x$kY}b|)**=kqR;x<;x%_wiMdXE?qrK5B7Rmi^5tBK7oO)i-dXqxc%Bht zt>F9s^2%EKOC{S9{t6}9jWgI!%>8l^KB%8c)UQpknz2*?dCyHd9ltgu5a;1qac#ax z5Bt6Ua!Ozt*2BHvu*9*9m`Ay8*WAhJ@b4(=hSmL-0T(c5#xe~{;V+gYaNq0Bfqt(W z`{`)l3LcQFH%>cO`1?P0gq5`Iz{izXC#TT4c8e|Ug`i5OptlopT&eaU_-`2SZO!Ke zG2CSMReb+a|16@fJ7sX*tW9rivCmwe>t;cOADZ|h`{EnOVa*@^$ft2QSH}DCqQy&y zK76NVAL`D;y%5Z?yykEWdbuu1%n5 z1KJRG?EDw_Z_GsFpfk zJ@PC^emX}2pVhjUPs<%9`pTV)Hm@~R#rx$je{!XWJkF#&9TWYeAxFh;d-ueR;r~~2 zoC8ES@21P4L*IH}N0@H0hB}Few^jN~+UJ_!gTHeMU!R=`zMr%7%FH8EiF~nZPY<6z z3%$kLcB9nfF;V~Vecbh&W00SEm0f;aRq!9`Qi^Rpg+Xt!#ZQ>OO(y!YW+=T9C*}+@r~mr& zsh!9(S33M;XBYfe+T-u%gJOtynVFn$b$>Aa{??;Q?3nga#Ch|0dX;r6hV86?+U(2gh!hNP0ZQ1|p zH1aV8u@irOJWuqA=gAvC`JcP_f8W1QPUE{R{OP(4X9oBCgQpRFy34Gd33+D7eX_ke z3HgxR&)@iq{UHBL#%$LoV!(y$?%STbKM`}pXC>=;&By+g*{h%29{^m#IXr#Ng;L-i z#uYjBXHt+?y7kS<=p~Q`>eM4svo;d-Up{Xc^IsEu3!8FrErC;c+6u?cO$6^*%bO^F zV>00nr^$&KW#IRP@e50Hh&tw`@%(9TzoR~iBk?idMeHvQ}|M_)uhkiD~&t=h^vJcN7F<2KUH6^S%@VadYlPvxUE=!p~)`F^@^GL!B8* z&(`=_tcY0Obp2nWL|(3Gm{Kec`(EwCQw&T){u=K|^dikQzzh8LKW*B{$nR?CZMg4p z8}GwngIR|%%z_v;oW_OiFY4zsNPZZ4_9=PL}yuXg96zXRp# z{ilmWxQ8$PnkIhVg7s2XbVkU(0e{b$ad_C$6aELy_f}z&Htb>rYl>347UHnX59jBR2j2`ry~&t(or-WL7F{;_Ro!|vq+ z`2CYv@A>)2d#Dt(-JIVFUXi8Xv|#imQSWi~N{^No#oRYkA5W5`va&UeD+ zmCE|y0jV1_MvCXcZkKF2z*i82lwpc4$(O3G{7E#eQdw4gB4rBiFWA{er*7 zKelhpm!kgt10{k%90a9%T$ral-m}xCZ+}Yh2{P1ORXvLB4~Rq#V=F_PbF;E zPBwZ0`OR})d~Vhvo-*K5D?ep?j7oqWDbwG~ky#J_g@#Qg(z*d%V$RhAX4S}j@O;9S=?3TWAosM$;wldo zcsBZY1JToPFefg{S?XNAVSBILp->?%krysEc`33URy%)cGx9$`bD{SrtsHl zyAy8sb`brC2idEJ(;wphDQ;0pSwvr(i;6d#q;VewifMc2yPHCu&n9Wuv_jtr&gTYv zwL zhCj|iUM%~Q|CvEag6ArbevoI0?-SmZ(`qH>o!qEYy;_8OTRB9Jy7ZpNFFJnxX>uL( zx?sV$g@aMVJTQkV&SMLZ-y(W!b$HW8VlGWjx!ZD0+#_m5soK$pkb^2e9mB0N@q0We zk4~vOME|M{`wD(q5_yx2llwyT%OGdFPTe~!h4pjh95{QHO2jz_>$MY?5&g4*KW1(m zBJOGInX+>ZSRa4ucc%(>VlEdmw&k7=;t`Zhtf70qac}r3jX$+x;jfgPGTXcDHTu-k z&uuDucNh6kyuHzC%CQ75qj|=2^c~`m)ROXv_K(2>vhwc5`=f+_*bLOjQ_3w zV|ve&hK z==th}hm?*w!vEy&y}CrAGa8@I^f@{C4R{N|$*X#<`!jG~T!&YwOazb0J!B?vf`j-L zUF8MiQWC*yJWX)q^7moC3c{;u)$qQ|9tFOhE73=PA0zU>#$Y^W{JnUrpyc0k?bEr* zmlUyH+Tws2Q$mq9+xWMpHD3&$XVxFNme)>!{&V0r)Pq{^WT|N@195W z-SMz1;HX1B>&Lj%jxFF3t0yHG$y`yz_w72iG<^cm7xn&!kpfv_E>wZfoF&tVe9}#^ z$0sGjPV+;@+uV{(#OJMSB@LsHFGXj4@$r@zz;( z!C%x`T>W}y19-5q_gP;m9s^ejbBidY74V$XG6?M82*&qDu;SG zUPjB2zaOOWK0`Ow=ibu8dK7E7t`rb+@+Ne=-Ekb}m%mtAZ734;GxbGVrb;j9`Hvl` zt2#eTl!^M`nzOgx`HB&Fck=V52Ye*vH!P4jphxsUuA6mZrDYcU6G5d|$ci7}X_}U_ z7)pO8>fd9se|LNUFCkbU@(Im?AI4y6@)cOf`{fx1>^!Ffo=doizG{vq{C@VmQ}gq~ zi9QBbg-J{8AooSry0k0j6LIj-c@f(G`}+TrEA7jAqjE$)u9-zYMMFfr_u%CzW5oOc zPDV)1OL6G2`uX!}K2Ie20a;!gnH>h+r1{WB=eH)ry!%})^~1zG1;z!@XwOo}Ju}`Z z)U1){gAvl|ELD$lEpK}H^>H3PPwSXUr56%?Fr+Q3TLSTZ{D@o0nohcSp5XEEP%iET zFSaLIx)ywJ@pP@pJA}Xim0IU~&ddXkP|E!_bbK6vr_}w9G=~#?=B!Tf&#r>}@ZOlt zsb7ycBtPHql&=HPH=8|q-s9u28|as79^|O3^!4+FUJ%qCDdklF z&vTb{oh!aT)Sqa}MX!_x55qpOd8l3&kD~*-+3TklWX7=*IEHRC`cc$zFmuaHp;3co4gO<|9NW}4pAq-vlq_Ee6(5* z{vmJula`G;V8{99Iju`P5Dyh@I`et8kjR_SFFuf;PQ=MSUnw1_g1+MF+`7Nvl2N!_6I$XkNceE`^P9xNa)vT+hyrH zVaF(kv@4cZfw8){zJk4?bGO5xYxb4b20TSEr=+ioA@UrR z*G+!#27NG?{>r1jcbMY$BCM{g(`V$(S?5^pe#!?HUs{ljHFucl!HH3?#o-^ z#)X}z4(%4-I0<&7qW8ncQFEeBQzAXlbU*x7M$-JSxtaL9z-f(+Z6qien@e7)fG@TYTrMBad|asI;;oDbz($Vl{WJagEwB@-V* zK7>1+9R(TSeRytFTi#nEzScZ5&NrnL{uy)m#jU4j67x(BE=x<2C*t@}jQC6May+zHas04*yh8acr|!IQnR?=^sZerXaq@n6R$>Kql79HeB{& z(rJ8u>+jg-JB||l3ZmZ(_sq%o_uQaXr(Z$z|6)y4+2wcx^3U`L%#NJ|y&~}69#kp` zyIq^Uow|M}F)#1h{+ivb1g~nX8vlD9`18uN;H6@Nh&R#)jL!Ag5qdFji`&^_K9G-r z(A(Fp%Ha2>fAuVQL-0&q)m}#rfY+*hJ-$VH8^KdaJX&s45C4_j)1c{l7IuMa&u~kv z!hIF>T&~k7BJ@X#>p<`~_=~j9T%Do);F0;3Yg^oY6S$W?_rR*}*suD)blsS8;J(KB zvFEC10O#>G25(z?7`!!qzQWZ7R^Wj->!kH)R?v6!vxoQ{D~Y}`b1z<>?F!scx3@B5 zo(A+Xze1X2@E^_Y9RDeIjJl!x{^@!-d74&pgUmlSs zl`ar{C_{X=R`}*a=Q;RGjj4G>rhI3IaleVW<&|sa#yrFRHGi(u zc()IBgu6}eLrlBtf9;5&MTyTV;13Gx=sMG1L_W*IZM&xIg&#)M2|5FrRi2Cl_|bfg-2)ps3B9!9OR!h~zE31yJa%pv_^`#WJEYUP4gc?YVOGNhB7Stc z!t7N%F=xp@^R%5F@K}AEaBbi_#N9;8AGC#Vz@L}TTXv*h0r-yJ{(J6Be*$0sZ4vI& zAm+oYpHj4FJnRZrZA9(sT=3mZzW&{7Yr%)Jc2=7Ctw6p^^Q0?!iL;4#QqysY-X-9d ziWRS!3d;x{s9rzl*9{UssmH1RMqOpg>5{h=M#zh3ObTz7Jp;Qy|3_q9< zjP+8EDjd)@0gp(3^mdJZHIdK%D_6Ii0e^%2N96jBy6)dIZ)ve8XgSV~o2pSFb>MIei;~7Z$$sY&qDfzSAW0?i; zxIjiVKxYSdIL1vU;rMW(zT<>h7dHkth!g47WI@bt=RTUWGAALt0p5xzou6i-_6NPSTXYi5ei{q%tsMSQgNDyjHy<<(}#rrIb zNmnB3F2p*oq;@0T!9MWKaBC#=5sxkYOV+dv-|y}2wv?!wWm|4OU0n;@!0Er^(M!y` zXSdDUd&ma3k2A?}OBd1Kkk_>J)x!wb*|P9onbbDiucpuGw#l>poA+B|p5dYq<%NBc z(yg%mOvFP@*Uui@3p~%&OfeapLioJ}((5%h;JM^QtatJU2?PJlPz$cg%Qe1P5I z9)9lTw2YWHGHvRSW4iF4c=d-vW`zQ8b1wg0IjI|VuJZdaqtzdv_wt9dQ$o{;Iy*_v z>S6)xyzps<=7vu27TmkrYa8Y8{j79X=1e|tR1R>qK~;xL%if#=%LE!_uE(QdTB}v+>I~Y9Yuk<(=%PS$`Aq%81?7m_CiDN9u0pDozc#$urs*a3C1|0EIPq>YD@Tr^R7L&0aDF9=86@ z(!}*0MEq;$RYLy~$g@al0YWc!csl z%aTf%$iJzZ-_pFI1^duAz4V7i3V0-DDbM4G1o%h3mX6)C+t}B}=eN(WItiX6-SVsN zHQWRC0=vJr2C%Q3n?;#E>hSY;lizsG5E6BV9=}sp?nT~ljf?q!YdP|4nU>Cev21*v zvhJ?VIX;me^wUxHS19(UspO5Y_#5hR=zY_rvbVs_aTAktLKk7bTfALY%*ZbJ_uRVb zP5fPAegM~Ae1*?m_`w{$Y3Dfu!XKHRIq!uJcqvMP*S-S{*bjk^*(W6q@+RwIZ>M$# zfoI{cCJ8DSxCix08*~;15q&P%SG%|0Bkbx+b>Z+T0tZakcq8pL>^k=*V_!`L!IxLB zecjUzx#l%6$JIPVUOH#jyzv@J&@=qsY^Pmp$S-SVnB(^##KR~X#16~k0N*oHStob- z;(diHQO1usO`D6+$nt z8ww*Vmw{K{m{lz?h?0hUR^Kx1kr~6^uZGZv#RmR8mlo8o-S+@Etak6~IR1KK-sP0` zikZ}HfgiaOI_2%HY8V7|H%BP9`2y*51 zH~+xS@I&votvEyUe@OV#=ORVa>+kPu`Js>f<-Hxqpt?c+1v_O^euu+ftIiv{<+Ts~ z6~iT`>BKk43ty7)S&GQdDrb8p9Ts~E^gB&LF>3L0gm0zaA4st{KTk9`DKKR}5?sAAa#_Icwt|KR)Pg{2-_yzLe zZ&9l&Q;$>b{l|_l1iYU+?-BhbS%0TBZh>8>yR+b4MjSB@Va|y?=aPuNWljr>mX50a zd#=UIV`~zv|o% zSAsvl@)LxdeoE92$AotF4H5mEjz4w!*+k6YFSnQAPeACw*sXRK6^VST z><;?2PNH7JwWCz!HvE-3gUDS8vEW;&1NnO@OF*^>|%wx^v{{w5s#`H zbh}YzY>Vgh7qZUfA#a)5wq*FhM(EAjNh_F__?dX04!0BE*Wx@XWH)ye?Zf+u!c0<~ zt*}1!kW0k|F8oE_$!dneNANb)+hY4y`yt=4%J}W8Ipc}^#lRU#hpE_~s@DS3;xNS7 z>(<32ooj+WL$B89y8jt=nI7ppBixwiJ2z#aHmqqqRH}r3V9;#N|zgW`_`IFpx*ZOBC;Cv|>7Itc(u*+QMR|n0Bxz}~q*9wwz zQ0GV+I8ygyI`S)XBh%KmCJ^hJ-%bg<2)n@X>iuaRNc1~k`QMyJ!}kg7POkYom*~%M z((;Sl1>hj2d6AJRGb@4oUvCc+}*st|JjsL1c zenkoomO8ou=T=@Dwf{Ou%!9X&R(DxP=;?V$9{1&e-|H3)PJ3p7IDYN(*+q$Gh`f5* zX-VZL$mcAg-;n-J%zvRyG#4WcMS=@Nr3S2-}pO)ydn}{z<)=O^o zhyLIgoRY|0NaSry6RY*S09;?=b;cqq81YB?^8EIYi9~(V<1~H$i1q)mBMmF3Z_s>? z_vXoLKlS7QS%Uoqu1TjBgUsG!NMCcK^^~jnd+hFenJ#V9i3y`lusgRuZNLvPSp|S8} zwg~o9xRqvij0!u}Bz@j1*c87fydktTF945G-{{Pq@E-YVj4=4|*tJzJ=OPjgqqpukHZq#qu ze(%~JqVL+&RM+75ME-yLXYWTE#Jt9!v*}IUutVjePr|jc!S~i1eR;dmiSRFGW^B;d z1b;;^-)W8F10sIbc)k3z#07jlB*uN|0P5l>6(2LNEyaE|mS-Mb_mqg+CQSByB_Mdz zs*Hh^8^A+VZ5X$FQ`W4%Z+SEZdWmyro1Vf!J?zK2rQrz)z$LV|)Lsd1^a~JFcJRXI!@uP_>Aj(} zKyQeicUFA%fj`3JP7F?(1iRGGRO3TgNz{)&JG+x{19_|s@$-V_&m;1<_s#HL`T*Zw zws(r8$$9WBZM3J33~uYcXZG3d_=DlZTwyuI;jBH-8^ZHXS5Ce`=)Jk?I{LbZc^l;x zdc|AudHPz_qi2R;S41pn!<)sBr|NO3hu@C^&x*=wKGzSy?&b5PjcE+;&Q`Z8592YYqS(w|Go_{&73@O?1!rdJ=)h8v^SF zvnPV*sZ+>nl~f|;bzHYE-ZO^v@s%E^ekq3>vBk#+%~HWR(|@=gd{j^LWzz~AoFhr( zPk1hC+%OM#lOap*$=JOP?-%oBd0jc~1$*k%N1aEBxck%_w~tr=Ukk0C8&tM~cdDf% zO?26Z?`v$AREu#(T(0RA|5pBGqAp53C3KQL!8?8Vb0fk9^&Wz|?K{_Y5Pc>M+p0Tz zVYjKdA6@A)q33J-ya&s}z$393Ba@Ukh>JF?PPri_4tzvcw@vuFhv>7v=dZz#HKCWb zntLe55_u1j?w@5R5&c)s#o0H+fe&xfh`Uz!9(p6?>XTX2tuTZh| zIm5<1dOvVl@(%7DFVXYvgzc*To|~tceUcYPoSyT1)0eqs;M=Kftq+aeiN5cLU-i259FGl}vN*mZVVi_w04*fnZ{s7!eca0f?CjQN>^dSCw9 z1;_a!=>2Bh#rtm7mSF#!FDu&z!2fIA%BmPlk?-sCD`3}lew#JPX_PCve258r42n+(NI2n`go#$ zS%?_hb{-KYXYJU-RK$5yuTq-5Ed=>kjSgo%ba~@^c%8=$caFdQ@3}16TjuX7oS3I$_R4WMl9;RD`gDuZao~vh;a{C+iFul$20atwaH3CWTBGgFrNq1;TE#)< zsldhjy;{>=oQK^O<#fChr0L@SpU3X6_J;pbl^g2LwIcdUUn#qLNEY$VhA*b$<~~7Q zN`q(Y?`3X?%h#r@e)Bv7^2q+SX-UFgV(vliw{Z!h&{rbP%F)|pz|G7@$<>dEJo*;x zsYh1L1dePqEx%noo9J(TEw(6X6#LV1c8|Dg8qsgyXzZGwvx&NiYn!z1hk^&AP2JYh zGDgg^ynJWn`7YFtHMC!~ezPO)zxC|YuSd6!gZ*ukT5$U28=~%O(=G#lWyF!_!egsX zh}qy=Z8XP;mjPd}7aOg)@d4+;s%UNZwI}9Ijr-Pdq7Zhf)pG5bjf;r-=gOv@!v@$F zx|)k9>pt*ggE{?X?lHV~)9SA!8|;YrW*2wKl-)%fnIk< zD{YGu!6zrHFuR(qJ7NRbau2Xlthp4+V9Vt65B>EXlIse7w1oR?<6BBb`BX|tap=A`M zO++1W&;qppYn+$ppr40=0CDVwv*BYJ50IBl+wxuZ<20;?TQ;Iua|ic}^L_NRZFC>r z=f~DZV)e+Q6?z=GWw?u&d!Q63w)hTFudZ8jb4DQI1)Of#Q(3QxzB6GJtEwLp_tjNr zQic_HR_=q_@7!;KM{MAQ7lpe3XXfq7Q4U=L|Bl)d{Ka?>xQ8+7Ytv=`9;s$M@2%{? z5}bECrKd|0{76;UUF8c|M4iKh(RoHyxX=90Z#R^W!+r?R2R0KSGVJ?qrC1Blmg z*N*WQ-3G1_Y9zYNn@r?km}zclyMlZ!QOF}dc~yd^mf#k=+eh^02pnra(}lbP_FcDE ziU#m^Da$x1Z+nTkWs~;GGuw&vyZN-g|4Zb_ONP)IXyBu`A7<1fRs)w;S_tlVZbh7* zCcmxXrf=+j?1(5o^SZe!>^0@X=cChZ!4Imr)Hb-l9(91C;gs1~%|zYUKF{qLj)*@n zhN7(22#I`XZ}*h*M}UVpm%HM7>S0Gjk)b`~S3{3-e>8mJ7@@9?Y4G8j&M7c8C*|`R}<|q!-w65&SK8l0D}~4)&FMzrE^$ zEYa8d?A2KMX4nxP-_N=GM1ZcX0kS%}S!*=GWQD^zVe9e8#GGlNK@mO>1{T-a_;@=A}+b zbeAXY&9+}AD=Oh{F*Y?8Qocj(c%Qw`9<&E9S9Lrfe|oX{zvnXTGuAK8gEtU_Z4L_d zMPD3B=5eVOH}EDrT_5+YAAzS?N=lnz{~}IaQ!(W6(FS^^ymoKH{Y?a~Cw6y@-BTj( zI#~U*Rs-y|AY3zGMKR*8O+!Ys^i}W&c)z7STd0DUs#?y;>3@#%Dfe0UdQTpB6VaOa z{x^Gwy3Vz$wanzN;~q_3(X{gn@(}8OzbSM*41CAuKl1W7gWlq(Y{@myLcSk+-I&Ss zUc_BX#LlT(IKl1-Rfm$grV)7ySKf|vA56sW9Sxe`rbgKD6|t2U#G#jYuP({&=!L&5 zviE-4SpfVibWmS5SBi*Fj`Q()N%(Vu+pf?3CqS>Wm$*C>?}k6gn4EiEcpvwhK55Nv zlWjy^N?ma+Wgk(`U$I%H`Z3}gqLZTDT{*~?tCO#|CH@uhJ5Jt@AkFPWJwty|_Ny^z ztgl~r-meL;6TDR$8GbgfgZzTObI<*P9jImXbw}hQ9>#pu&?!fQUTheAsQ>NgL;PO4 zmagJK$h%PXNt=`;!CQsv3MMQj>M6#w?iJ(_b+ zE)C3f1J6*igxg#ih~MK4C1+l>g6$zUhsrni=Fq;CV7Wya9T$znjKDqO71$Ub zHMGU|`+1FzT@0R-b5%`odm%9|^Vy#CO@F}aG@DsHOJ0Nbt4d*9c3B#X-)~Fxw+@gaiMMT0D>CIs$)yCy}nue--``b>q;-_5tKIRHj|g z`YZ?kh(F=!XZkbXf|>&pQYVbS&Xy{sj9$@zJaZGJx>*6hO;sjWU#|ELJ;t7vr8`AZ z73=vUm%g2tKf;K=@TEB!{xGZfo{`cK=z(g9INx@n{=C@fs(z9T5x+YlTgPgGT@~tB zd)?lI`zN|)Co8cL@j>>`omIEP!IxKGV8jLYBTieLUzTgMhu|S84X(zVeUNX>@ogGJ zot^OOTrG78_!pGYC-?665%Y)kMfA~U4E%d;$_-w5${puhuE@2J42S=~&3vEp@hefU z!S8(eRSo*6X2Y?fyUQVO)QDDxa3Rr$@wR0d(;e}kYDYh7w>Q8EqUxH=kYnImL=&E= zZk|r`0n!zCYqD`ZOl94cmkS{u^uLv2uZy7n*bnz~2}_~B1c%;^JC+C@iZ4)M2`<9F zDO1c{^G6To#gb^fU)F{D-}a^Ybj$)mpEE_~%R+$z`I0gdHD(g|rdQ0CoED(ohd1@9 zl>Ir>^VB|IMY=7AK5UwMXja5b@T7So4Rq9>((Ff=E|*YGT~|~4N}8@3P#BZQv^z zF0x-+-{Dy}LzMpe3Y}O_$LITtiFqY@7UMoHf*xUC;w2_?z&o-0a_*ZS0=}+anZjj! zgIv%{a$o$+^2C#dA%eum%1cLwn z=9}%gh^V6~k`*3G0bZ$dn6=U95|J1E;GSUAndsMQUQVB!4S$Ne=V1q6w+P=R2M_O z7@yy+8XSY&uU%%@lJkz31Ge>J@x@}IFW~ng7oz~&8=m97q~XWJ{EJ;lKHH81PjSr7 zUypeMyT{vbR(;JfA}`tT`jH<*9F$vC?;lf(d_La2lgoCRA|A+o6IQ3!jr=`!f0Xr~ zo5Z}H+^tIUG_ha2%H|a=3yFD@OvZV_?Sd0TwvZM}g1 zk0}0VdyB|JEeU+(dL8$^_PWMsv%&R$&lK6k?4!QGfn4vEQ}ZT5J~_X3oS2bE@Kl!l zcK^RVLC3BrS!)w|e-*X)t`1R``KO)ODIS*P`*XO!@-Xb&y!zl8rw&D~wX9M!}3 zZOl0svnm>Y_kSx^<%+*IO`4+c;SKax`RB%i7n;5B`TNECD+-ADgj46eKl%aj1i|Zj z#&NlX|03`4^g#>w6<*iZ+LUPEQo*2sr;7qHKUL%D%=J#-{kfYPtXFIy@?K6%@4CL4 z$g`eM($q>E zx4n!)J|X*P(w*^t5PvG~k<(0nLBuiK41Y!}I7>WB*{IDT`hre5FsEh}!3*wIo9ki( zdEk4Ld*sNa{I|c>GB0DER0+=UUB1#}B43)_EYp0!0(^c|=Vj|M!Y|^8_6?1GF~#S# z7v7n0l&ELcdFZ0r1iwnSYFTKhA>O0D)A{f9a^L~>n&f9|(+GTd*KddaZ}h9-8ur>O z3WZ+e#y#C_unl-b^wZ>-%s23CIdMBxzYu&cGvwww7d_-RapW7OdU@kqDW2hK%p-)I zknj55Ndcb2|d%)-5|Uq-vCVn@W?jO077^}ud6XX#m9 zdTxVz5FIhu_zv_`!x6<8%6!#4p3n&`-&Kh-rXcX>|2pu;0B6 z`>Fr_xC;$-R%B8AEIktY$1*7?Sgs46qtU?E#c&(sg*r83oX&BaKi_V`5&bCm?KBVG z$c}69cla?2XJtmfF7RKwbLTEZ9V**K!Kmpv5jTE%GWphAVlHj5^}|L5#QFHnw;ld= zqK=QZdd-3f3b+R%xz-U@8Tz}4gn_geIdDg*ft(%w$Ceg+<(;yzbRuo3ds z_+xrU{tLvhdCz~H_me?dn(RpfPY=LPq|>%KBDgn%j5ON``|rAO_AT04+4kPogUu2 zYZ>-~XOMLM>;fY1!>gK;W#fY1KPf%aV+6Q}by2)yQ5@_t*KJo?T_EI@H#B|1v@_s+ z_>+mxl8>u(kvyw*hc&rZirjD!+-^9BX! zr4q<%DgW*eyM|8GN$#mpFYZO0oYG^UG|?NM=P@Uz&wm6SQQ)C}Z_!a7toMfXtp7J0 z`hU+EKa@YO+=tH(opoEN4t+r1ztmekiHKKit`@WwW54((&ig&z2fNkyHFp2e9;}y< z&RIXb2j@$7d=R)*4Dn%BYu?WFK7{`$e#oXi0(?h<+wnaO%ZUDh(;6g#CxXu?`?4YI zgHbTnxADaR8$aZURBZcgU3(pQJ`D%kH3r_|{}~s~T}tzZeylioEXed;`hV*Xf6Hk! zy#$`B-tcU<_b~8eb;d&D?x+j@o~h22I=cPnTT%Tz^@s5cOMd+Yf=$V9g0^6o^=-~<6 zGZt%4+qILBbLN?ZthRJwzMMNFD z-wj@lleK=8x#BeR zSY6W$(b`k+2k1}4oNlTUa}aJ0*;-}E;5@=DTb?ff9%O&KeL=eg^(xsN>`N-d94D?$ z&HVCn@PD!xyPgir2X9dMR^X^Z!Fj(ek+9QjgMU#XCbj2HKXdh$ZTK zxM#zTg%kb+Jw9c|N#I$2^pjrQVd!y|huTebC7cgGGAHuI8^~jg`+>k)XJ7~T+`8qP z4+Hl#njL=e)E;^8)Ip2C-^0K=Qg>%B6RZIKX5BTGdrIJlT(Ro#rN+QLl;4d>e`<*M z+wQ3o7aSn^;GdVfE0F@dEX+<>F_;7W!P;cPyf_TIQ+Zfft%gtJNmuP(dN_;dW0Y}t z>FYnx!!$8roQMj2zzw2WtP=w+qD367{CvI->s6aeTXPz}N0*s2jz@*QY0x;~psIy> z6|O>Q)i0uci?cQT&XhmEIkdlzJs$L9|Jku=8Yji@{+!Ni@tKFc@b`5ZYn~>;KNq+y zj!1Aqe6Vt0#`t$t(3f=crw!vSKpr^ViIzpPtp8(2*e83eIwQdg(IZaS1(`sOtLzLy z7GKxHz6WGIJrj$2Sl?@7^n3)oQ}xQ1-xuyhe1vj%&a0gL#GIeA`j>VN10Phmn|RJ> zfW0f@x(xiD$AnzjeOa5d5pk#5_u=x34IoE!GySwJK8SPGJ)z(15fbx?MQ-{*M}coy zvm!j~ZlJER>bgXgPzHLvCb{h9v?P~*&&-G160dOFgTmvkLv=}zL+aJtZ(F7T50`H6 z+e!Hjy;sMWGN^P5cCOq`A}BZzJVC{I6Db9PzpSlSa@6d{eiTmXTvqCfJk;t7)pMSX z;e2Yv?=?KsM}Mly|b4P+DP+V;1I^Q!SHvlqOt#eX<dQ4TadezNoi=M=MmqA@$`|aD;`}7~Kd;|BI`jl~ zpe(X$T96U)8>t6nGj+O%IJ<93^SbfyM~ePl6W{R({sBX3`_m_%6S1CP^NHVMi1~+? zFPKD!fX}9#mFTunhFxN$t&+Sm4|y^-FVK`(Y!3OTo@jE+ z;uQQF#;QMWwof4Psz2&m`$!@WmM;4?XipsMEalzQy_Y`%ua}!$srGmX+)?|EGeKSr zzsL6f_%(Mn;wv1Pq3pJc;3M+<%FX5_gCAgY%PBLi<@82j<$)OIuP}6COe$oFi;0jca+*w z^g{;g>1kWF{SW-ravRN%r3$dadDi1>eJ&IEPuH&;-DgkCW4ibHP1iXe{9TvP+^a~; zj|qv`yK_3?1eFPkt{VBlPSy>+SDMQQPglL8*F%!X|D&DRbSn8d{$61@Vf)5>*d==E zo~|-tZd-vp`+Oq{`G*|aeE*ehpZ;6VzHnbt-a7bs^$nJXzn8;5sWNT!jx&RvVV^H~ zm^udgPq9oa=lT(G^52KvR$K?(VcV>jFO>qjP+L2G-PP4Z9REexrWSqV?XjJyTKbug zGoIB(^Mgd(od4u_@?$r`4qiPr!S(|5X6@xlGu36V8&x)YLT{Cn;Qc=QO-=g&JPVfaWJuKGQggZ_ z<2(EZmZpQILnGw6+9lFreI=21 zm}BYfl>|FgyXd3ZiCs9qYU&#g=f996{uyW15hCu)k8%Clag3;^&R4m^kVQTSePfqa zI^i#JV{cB_dKh|xCi}K~Myejx@5HsfIRX9xm9lHQc?|3f$GLYXR|V4JSaq$?w zpL!swWgU1vj)4!0?S=IS0`^>}FoOTU&SzQv;-Q|L_9bQ8qf0LM|Bq(x1*zD-+8Jhz zM;>J0@0@M5+M`6CcX21n%^rMsxz)RleaEogrp2`0=1<@;ITlVQkMh9-H{O$#HR?qE zm&knhq?0)Osmfz(xZJ%&-#nuSy#-fcr?^eQ`3qMQbJf^g!?%nfZ?%?x_I@1&f6wuF z=T>ui@&C}GUzg{ z8uD15_~VxI08!5~C6JRu%)6wjYR2E9JjD4(&-9bLjQ$nu$aaN~yHVH6a?SdEy^x4c zt{d4~Tm(B%*H(U5&lvfcRQ__m*&Xl?nGfSmdFO)%V%K|E>=I%GMm#F}w@)?$!#(OBc#{n4V9BzbO29qc_MHd=kUf{czsv z)c@EKj@h0iCv5OL6^%=NA8AAWNp0dm&%3hVeX3oonp^DQC$r})qWdRFV_g%iDxUb_ z^E_Mqza2lo7uR053d#;8=J-rd(Aa&Gm`66@@%od)(8H9+hBM7YM4uDODi*C8ex|_8 z-BzeW#5Zo%M)@v5y>-R3DU*CD;91zTn8s)0U>6t}#fJ(9;V-|nz5&jcSGxM^^jYw8`O}VAe=vdFp%_c9oo@s^%YL1=`LGO; zzakcukT?zbZ@eL0r^7wS$10hTW)-*$25l^XmC|5%RC9mMp!scnG`=q`)CDs;A8 z{^vFDcKNlhg-J_HAs?q>4{kA8>_!suG6~$1ZQbqFYJyp%f^+JK=7X`R}=GgQUgp zLgYD94m`3ubRPRBTyCULdK2Iqd?z zf4l13-Foonc=VqcF7?PKs^SQ?=VV>S`K*pzc*q*>S5+EZ>G1_TPT}GS8UfEBzvTgO z5qGaZp5AD9x;PoYE^yw(ry5nl-{i|5(5_b`c;fr{Lm`pSo7Fj2yNcEmeTP1@M%Ld4 ze_t$$N;0_*f1S6~=3bZ!_y|rmKk%*`;um!zMO&o1i9V(Al*fO}P_M+6kJ5Lztc&M8 z;_m}eh`xnAEhQ~3h|e`JcW1l%fI zwxCn}H13CB_1ax&b6__)8gnYd#v^`B=S*q&(uFv?;H1Hl-!~io8)wfiod1}pZ>3(a z-7xPi>O-k=zqMm-1D`PC{kn|^{+oSx!3`5J_*v|=Pfpxh9Sk|RHs|644(>5+`s{Yj z2;$y#%eU^HMD(d(yS!smTt%M*cEb3maAVjF-b_co8?`;;U85@8u*f037&xNd&Hzg9CAe& zs_=h23+Kr6U1erxP1LoW8c0<5gE(!?HkVH;E}~yfoup1j`ZVAXp33^k!B2=h#L1bD z^oM}ocz%%$$A^L6gtAMPM~*-bRzLGPx^E%sJ}Z+#&d&|Q?@=Ee@tw^lco!Quv$^1_Vy(mHGRLex&SSpNdx4O~&}BDUmj~H;vg|pI5y?9FXef=}<_VH`Apx z{@Wn@q4F^+y&@^XZlqREx!H^JWve8;Et*U8P4{Pbv$ctS1m*HGeH2lzTNkx1_K6D7 zk6`AL@P(JEywt z#QO@x^J*^aMI9wou-atnR-(_~3Wqqyg}}=VkuQ#n8zTDH$W+=~(u2RlsF-qf+AVdg zui9FAnGg7eIt{yg``_?a=nw5nYzm1ylp162Gcm}srOTbYc>WgfET`w_4Zrii&s;TH zzurCITb9UReY-yV4blBv&yYz(pLMB&-8Ns~9||NJ+WLH$`>_4rU%H`D`F@7^SPrWE(T zQpWVOxC8Rs*(c*AoDZUoweIA!<1hLKuwK2CTpc3+ks5sH>di>l@w_QwS^1f4$lD9H z>yduMkEzz8eH+%b;rrT^DrRmX^8M;8lN61xAKd))S6{x&fV`RSG%&nIn=lGX7&nDB3{-m$YG@*gkh__xvK}KP2l-3H^+? z46QnwzCee_*E;^&zfYRzYyB~L)(@hup0H6encfeciTUH99+%)-tB#-2bV$ZNGSoSY z!9c`Gx%sbVC_e{Jk@sYRXV!bzSN@5YHA5#6r(@A`yq3q~@4O#;r4a%T(!0isCTRmd zRNt!5STK&rdz4FaNxq3VSN(V4@yuV~GdU~sA1*V*dbyw7=PW%5J};o%Xlwv10`m*Ek*mR<=N!RMAkPFCjrT<;KvUCXFU(xe@(?Bxxvasm6^%7hp%&QDOUR8`)SGBPnetFUb8Rx-_d`G@245Py1joGa?kfu zXsC_GdD54E8971ZJ8{}|b&c54|DNB(%sCVq(g*pfm>QvVny3$U-M%|b7V^LyNAb2| zVtvAlm8E4>z_*;Wl?D=hL|?p9mbI_k!Sm9lT$2k=;e&F3zMpOe9U zmV~!`DTZF9gzRhDy$E)La;J$$yV+@OJ@^Dc>eq2M6-xd+ z*C<8bPCte?0?#7peu6J>S=Gv@ALk;#x6~aHdw%pA@)Ow(wFhKMh`Q2o;|jyY@VQ{r_t6rEkP@4riKpUAPdh`%}e~pT5^Vnp3zIluOxb>fjxuk1iLKXeN?+ed6 z<$v%c=9DIm`!Z`gF)uws!GD4V@K=M=-)FwVM7{U#P3t8>a8DXu>_{`4K=iZyG}Uvd z2zaz1Yw)<~bNrnn|8=-x5b{=Ud6LC{guL^5E#|H>nYgE%RZpn2R{Vcu&RZkXDB$<% zW%4;a3C2cEK~hZ``T z4?aLp6vUHV3S7i(lsumsf%Q~s&WbSfB=W2uvZ`%TQMXz%cK&QxBK#|1v3ybFg8$aD z*Ka!6$`ldx>O1c3_%t1UJ}0tyP1p*8=P*}xIzJ!xjF+{0BWIT?-pl%WbgDS;p5W)p z`TvQ~F*+zW1jCxn~-YSH}%&F*fUk zo#M_{wVbB|x#qqOT-~%7e6iqQVvXr_$Su#xR&hlSo@*K0J>ze~U#L%g;5mCSF`tDs zt!n=S=n0XEdD7@}qJMAJ-}d!Hz7@y%j#G>cgjvYHWinuvj*JxJw`RiE!f)(w*H^Cp}#@>C`bPhaE*>B;&U~Aof&#c;5 z?Gj2+*v8`uS8dCzH@Skyzj2#Vb@~7L$I{0*_SFHkHRH!o7U7} zecYC;x1vAbSz7sq{aeOCe%KOuiSx9HIZa<(B*#XH^e-#W_-h=cpoUa#Bho>>OL6Yx|!X7p$kuzcNIg zjlW-=^6iNX*3Z(Qb-k@d{G=}Y;DYU?1V4W>`Ahp^sY_z!vEq&gen=_1%7Wi-pl09K)ixu_sA@nsB5MV#bwPeZ_$XnoSjc2I!xhD2-RKO!_=c8kIvEO zKV3!Mh3LxGJGImCOj%?2!@CWD}|K@8cKR9t%5pu=4buuo-74OZPVfWo| z8nF(yB0-@i_K}?@CLY&D;CrP|y~a+&DJv@U@|~GP{qC=TjB#<;r^M4Yap2R#X1#iY@7++G8LcUM=kG*;8G!wC}C6!lirJ`Pe$(p!=vIG1wMJ?rp zwHq-vw!MgA5Ct6{09ORIBx!I(8BJRDw!sz$rKG>z| ze3wi2B=LQX!L1!(H;Fzc$+lvz^oY4K+J-w%Z7jilnVBzaolf*$eyY_oJRA5*lu$Uj z*9rSqbI5BG{A3P~{_eEvqCZaxtxmx1~(QmEs%G0#3O1Rg|%TIb@ zC5iaSf+G(noI)KS_r^70*(20P@P;2P*)K-q_x1Tk6tICu8_Y({hE4-#uoq3ex$zm^ zkCrg$+p&Ad?_xKGxNY48d{?7%{OB7~;4DE8`b9uv4P!?=ND;V7DnB z&h$CGVdDD(zv@_r!EW-z{AI>U5qGY^5_}Klk$AvpPgxKVM@sXT>J)fe{_tnzf_JPCJ4;{8+K0b4e>m~zKJsX|wuS*w zpW!c4)vjvkZkzJoe!q{|W09TUEgI-5K}$bCZmCwi#qOJcH=0t`{5q(ExL&R9gNR0R z?2GW0ea9y;qCe}7f$-}?z~}reqspsAo}eF>a@5M^T)a7b@%Q)$31WMGN{YV!9C$mJ~*}h9??%(P5ha|JM^_=3&;2W zskx57C%!KVCF1IW{l``m+*QT;)MejAt^t25R1eLcSBv%Wl%LFB{)FH`txPWIFSW(_ zteAXB*$;Bc*fDzHrz63OEHcxluZBO={7B0D;6tK5zwzP15Aj6*SGAqaOIE<|ey5n@ zGp#!j&r_EF9lj2pNOa@J8qo~k8iD+Yuw?_#`=aQM+OasCXT8(tHRt2RoVJd3f9|(T zeBSWRC2=3Z?{8n78Ke*YnP(Xn$0X(_ay{0~-5?IV(-3cZ<+l&P8~F=PLevy0VJsuf6X0!^|Y;^(On364%@zA8hIUdNUn~ zc|E0z_H~_r-KCu8d~hkpev2~pY|>Rjd_i!1@N~v7aF6g>mjB#JBAygJ{8I8Akq7?y zuvgSn;B=O#&bBa%uybl3Y!rF$=lNpi!zD9662E`BRdEaaXJN9#LfP%`?^`y1*4-@t zAHseXuXm`3;AJCskIwG^PN%l`C(!lbpNjI+ZFVUF=kdHwyphSN`Hvmp&Yh?f-mVV0 z&ESuIvil zat(LiSzrKsPU%~m{J;zT4sBd$Ncef2JI8(3q>$^tgN*j`RikX8{^8L6Z>8g^^@qTUVQZ9vp zSD=~SW3}YN-=R54UwuXNb*!bX4OH6%JyKKi;oHGKuv>JO6upxRiF~6~QF|QBAxEME zhsK|-CGN2~yUBbP;=VkCU#0_Ff&a^oOE(2vhTY}+f6ITdjhII<@npj!9`cw4eRuY( z4uV}_svS%3oIil|O9bZbyhhZS>bt~RIum)yT6vN$exi?H?VoW+d%uI{tf@?T&pU~D zK+XAj|3%w~J}w8RWNSGQc3UGck zol3?auiTrxzYRpl^JlNgJ2biodD9HBk_Al@iFq79&R>({AP>9p@9Ji$$wWNPNS70_ zgRt}VyB1t)zIP5R=5hMJf3-CPSw4C1dHsInKtH|pU|3aTJ zWZ%nM&d}9kpFM*e%>WXLV5P?6T-H*(wx<~jQx8s#3I>XLUtqxkGw<4a%x_8OH z#uECP_x{T+_xZ>#Wuz=9JW1p&SEc%{x+p^bhT89c3fm7M{=@q^BsS+5QIBFc^W^hH zFYISnw?VZXcu=m($;KTNe1G+dKX!xDwfAKx-w=mPs*IXhp^AQ5$6v;b-6A4I-9Yrfr)eow?9sgqXo zs5Oar&$ORIPnTiec@o_>T-FiwBo8<2d$$Sij-yU9fwm zR<$Qh2YFFIU%w{o72=$n`*8Z%+7w)`I_T5DH0WTdmeY}mUGP)EE{)aJA&5Kdvwi$Y zcVJJllY-#U6Q~oIVqSoK8R9zIs4c^DFEK}PO=DE=Dd--B^Y3sKjuLrdn|Ek4G2cjX zfYnm>v>o?v__1(h1#y1m;*)%b6WF&Zv^A7@FbMt2F1MttKY%B>Lm#~lHsXCg3{Tr~ zpa^+^_ejr3O$+)tfnY^Kd=p`h^|J=vu+ZNrF)`6Od<48AQ#$jQ&i9B*`GI1GZOfoj zVC30Y86{v}FDH9^Yt}mOq{5#56Uqf?i`4DF+lue2 z{;=Et^8y5#afVhj=*c)P!v~qMxV~t7^1?blV!xTdWVJ&%_ysn9itJq5JmPvvNwTNl zk;I%!H{CXaN2FRxjl2&z<9ai;7PP#Aeu+{ocqa(J_uiSuD%v?u4UCv*ypaW;l`PzUidC-laALfkGLxH>7g z6?wW=St<3^eB8f8zok5946&cxBEXDxA9ay5dwj)9BgAL+(|8}ZVnP>{`P~#bm%vNE zE3YrFhJSMBZyp)1v+>)yd2-4Gt2wB9YO2(@SLvujIO}9xOCLP{?_89r{RZu)!3#7e zE-P3aNc0(F`*mL|K%A*NHKlXlIr=!1aM&f)9Qo^>s3XbR1$}zC22V|_g8QsFW>nU7 zHT>IJ7OCIyFdq4pvQ_O|LF^}O@M~?pM4T5dNz-`2&;t)bnX{?-7}UGZuGPi5NIUL|8wwG*$myq~-nY%NqijcP&nr^mK2$sW6N*)A+_CdcTy<){UzYg^( zHIP$aEXVg1ZPJ~cu>`tkdFE=ZO9B2GM)p-9cWW z?Dy`l48!}Ec4hjP(^1b$7YKbuhJa6blZLx35{WrC`l^Ff+lV0U3T-X6#w3?@FwW$I2O_{r2okr+8Id4_*H|0ZOn;N zEYQ~%9SzMjuB2h@uA4RDNbDEV^|x{qopoyLO--_NL^C#J@Ptd$&8$Z*~EFQR|~aQ84`1zO3Itw>_oqaJ@@?8 zpoAm19!+K(R`mEkc|_cN+wb8Z`X5}6zm=oBiT*%aV_?rJ^h2uhmGV}{pdOXGHQlD4 z#hjBmnv4BSU4pO8`f>Zm$-oCf)}~9F>QEmx9hyM@-VeA}!upbxzA_DV?sHDbjmV#} zt(|9@ddPETedjE$Cip?CXL2Pv`mEKT{3}P}@SOR1S$==&1LsQLX9v!-LB6K$v|bOs zLCo!_h%W3jLjA~cw?FdshBKb~Uy<48<%B**;Q?#GLBzr4j-lh?Jy^>*X=7)lf|ub( z`xr+Kx8wKa`{-R#_%$#4SoMp=s6VO)-d$cR2L3BAj@OIa3B5YIHSf3RFNo8%wvs&U zcHnHj_qh7EPQbOI;hQ^SauHY9ONw3@6r&!LH`|_I3=?zr%&PNNwgIn5pI=PkSrYr8 ziUkcm8Q>LaN3WYG1QB_t$;70hlF%)y2qPT|(Z7=HKW(YG3V2Wa*hJlS8F0B^v{dWS zbK?FR<5u{;aZQcUDC%|59J{!Owa5dMNm1V0Ebt^8y-5R>F2r2T z3}4R>Lhn+4IdS>shp2xWZ8tf0TA;7mXua{ZwK;Llg6vkvgKY5sT$`{1!%dh^#Z>xn zOA#IR|5)*_CbtW~XR^ec<>Bw39}@OEkINf}zA@K-n}+XQ_^a6Irj6c5@XnN`@NsG* z;)tZmG+lg!&_Dfk#4$w`JaO#|ou}qg!B2=ICgfJxAZ{}5$L1z@BhJ)VITu}`khkhH z%gr|LMcn79A9FlwiM-A1Tr)STgwQ{Qown!MBF{1G-kSYkOz0MZYP#!>gYOsnJ81Z2 ze}?_}%`APq8F5ueUlXQzp1^aWdk!=qkyp|lC4Fq^hdmrwIJYX9m`|?x^hLo_vuDmcX;(GhE@tc-WUP@%`SJ^~AY; z`q4RKP9Tr7B$>=WF>ziHYtZ;qIv>y1X@QBCHsU#N&&`WvgMI(aBZePx5*>*-X*Rh| zJt>6FY-~gJbt&#ks>VDuH4*rQ8#Qo{J{x&Rvh(&(*E3>2?fainB`1k}gNX(m_x2O# zgZo+CaM^?WD6!7>Ue*geM)kFX1(PoVhcZLr4h4A;^F@D-z2@Hw{$60`*t(OziLBmj zKXeok^_lYpDxw2++i)V$&RGd|ApAQvq}hhh^Xng)V3&dVpe$<8ecc-1Rzc_ErWHYY z_`Fj0jF(R;@jN3^PUk1%d6!*?ck*jHhx?bW`y=c)-XkaLLJ6ZDyp_Q9um$Zk?4EUl zQl4Q?_~p@D%MYn|?>r`_d*4RHHF?a^MbsPQ+2(2e%#$=ipW>)EY0h`(`!Zs$TY2|_ z52fhyswS4g9>kl>1KS*k{omZ)rPD{iH;YbwRt+NfZNX(5ZE^8({Jr)IUK@kq2h{zD zBBK!G4gUUpKD$n!ew9?{R;WsUTAhb{=S5z6SK?- z_ABaRcRu}sxGD8;9U1>I?c2ImFUzQvM!b(}8>>gX5T_*S$IC>&A}>kwmWK9u1AjD) zswgKkf+rEZ@;n!riN13~$+9C_TTn;xp3MB%sD}9y0z-{=)knZfHmBNM`h_@Gxip+= zW%;7+5Cj%lnF_%dNPc>>C!IJapl#lC+WLFoB^hc-h5IV750`bit5+eJz}K&Ttuoq- z`kWCuv2yWc;KxQ!k7$=0m{Y{sHaDul6aFln_GC0U3jIl8yP3hsMBrQQ+L94bDEyJ1 zbLduD2jUUChwE!Mi1;bt59PZBBCk{41;#&y0>4q859i14c?5r(uMkpt1^!j?@^@3Q zBXJHFchdZy9g%m-Mm#&OtR&8vQ#SSS+=)7kd$Ie0w=v#tV`6UgT|;7C#L%0aDpOFm zHw;=XANBz+TDN~vSgP|sb&}#&4q@yV#W7#s&G_9up#fiuEwz7s6#xB4<=y*3xBG^L z?fZAF6dJHED9r!gl}f}uAK&f4yZr+W{{Qn%t`6IG1xI{M7N5WV{11+4FANfR0sz(6 B7uf&+ literal 0 HcmV?d00001 diff --git a/data_application/88soils/filter_onepercent/soils_ph.RData b/data_application/88soils/filter_onepercent/soils_ph.RData new file mode 100644 index 0000000000000000000000000000000000000000..b7933e13aedeaedcb1de37a5952475198c7b2499 GIT binary patch literal 87288 zcmZ6zcU%+c7cac(qAOBd5kv_=bVY>-W~BrnvY>)WQxOPAQAV2d4x!l)r6elSn}C4S z7^GJbVWjsWy@k*tH9$ysAAaC_Klkci6qCu!bI$p;qfp>qfBf&yzS*(^I9_V+JjvqX zsWv{Vu7*X!XOsB}cc81+*#rUtc<&wc%p^bHFsaTy#}~lMHhW6?^GQC$>B^Jem5%-$ z+;ix`9@Um>Yv#1($jxSb&(+NG!N`@_nae|0sD0!!6;3qIIJ(DtiEnu2kUnRA`t5{g z*ZppVifMoTv`pX1%c&mPN;2`Q<4tEVhRnB^3f3%^!d3a0tX|C_m-@Qr&M`}0XFeyX z1ZVng&FFHE)^C-VHEJ>0!(}~w3~uGx;+WjXrpB!$31XD*mcJ9ynSPSR6zZ0zC^D%M z@iTXpx_o_GH8%l{esAeNRe@a7O{%wR-eYw^D^ z*7i%?XE8}x$fHYRR$Gi?J&mkl4gamBL+%}Gi`{=4`^1m?vT$?QAEsOD``j_!>&=lv z$ChS(ly9zoH1;uGG~A*u)w7n`>GaQxMQW(``oeg)5WHFZ&Sh);;LrH(h5F{R=01ZG zzJe!p?Pz70(QieoxY(?UO>YyQiiRPXfc2G#3Qc1c>qf<XD)RTAO^r1hvNLom;hvMU^YjyH&P<9eZzdHh zOkSSLEn^Hb5tly1imwq6 z470s+26GOa>rEBD1KA4!&%3$WG+1;|W1`_TxeIZ!BmVRZi&UCM$4{?yn(>yip9;y< zS6!|Vp*KiUlAV+M4jt7l7>*yJow5tukCkrM$kWsnr>!2EJL;85UkMGiNEMRiRNS-A zGL<=!VUC!)DR;lGx68(kNpGH68Yaz>EK)yIKCOaVa@)MBeo^-KC^XZlbDtI%9UAK%leAthiVzuu_TTU+M(DXac^@6Fcc z3s;yl1$esh`hZYrYOKK}4T;MO?_AlB-@`0f!@fTKI>aI&RsU9veV2~?$#Gmmj!~XYM!d>aLQdaM9gF3`m&M9= z7MSaJ)1NQ>&pfR{Lcy5B#vs%+|8b=DNOw_gJ5!u2Bfw%(qdmunC8>s%sg&B1q`2JV z*q4o25!PR#U8C|!dl}dLEmB{_o>%08x7OF0IXqRKo7d#lmFYQ)7AkVVmwm(;fQE`DLddlfbsS zVb|IwWBcy*Jq)*Wc6YLVP{(%S`hH#O5Z}WXzVq-z3T(kxoP05H^D8;h0Y#f=5l*<3 zX@S{~h{95LdEciv+j&0u4SneEf6+=S9lP#gdxr5Ir zxYi*Vm%0KENf)`!U7OjJ!6a zeN9gs!>!8^BZV^R(YHk1^+p#0QsVC09xQxUUyB|CFI}AmcPw0Cez`nHq2N~Gx2G97 z>LhrwAu)E4k5xM4F)Y>)2x-lb^UIZbH>1l0%>1JIb$>Yo+5UOj!$f@;r-`VaIgA|@ zlK8;OdD-t}^Xt1KIBB;TA)$dsqKNu#l^&f1`5H&m+}f~`9LZmV%74t)+8QfTcA>3q z^-HN2I5y_7%`GWu755S$E8ewt}GFu(E?x*)4;72Q2xw1S=_N3OAp6DR@f zk+78^Wt@Ld@d+esk8;MEVUpS;xWi}x`~P=aGP97UH(bJb`nHa6!sCORi(Uf5J^dJI z8LS!IqjNl>cWtf4yX@`IYU-1Q2QEaxJR4PgyDy@|ThxjGZiSqe_pkJk~pomo?I&wn$S8k&M zVg?_7R&#!|4SQ;E+-+-m-X=W*u3YHd;UX&49xnA z|Bxv|iZzS1RB?3wc-<+r3SZN+{P7{a&f;k2oZeJmuP7p^61q>34@|w&(z0KD9tFuN zE0DOO3#B4MprXdNU*<#xsgwwVJMA9kX-al@)Nv2SsJXL$2qfD61;bF2DXVz?Lq3eT zYSYBWOL$x1Wias7qO5UX9GZ~4@p#@p7WtfXF^kmVGG8M_8g7H8GB=!xGo!wz!EMjY z72ZmirQ6Sbw!@7_(@t6bT>Tz2d+M$qRI)beF`jf&WHw(e(_PMWRN=>-ccWXGHx+t8Sa9aTQeon*EHFi9)J^PSZn0xtNW$Ff)Nh z-P?A>g`LjW#2ghn8T;C0z2`dZ=fv!O)HIxo+AzJlQ53)0_ULpU6n0FK+Ox3X8GVI! zqxBz4viTo2Nod%jI$iN@Yr{`|J)WxJIo_4Wv8TJrd>bSpyL&!bCDqfc5D7a zh$m&Fi+r#J)JC`;USruv&YbBF+&88ZCL(0as&qytRe@$0(lf6X+!=qMjD6Z6^UXaj#PpjF zGFWLzI7p!@40?ZiPV1`qAsyn%N?d9`cVfRpR)5CVPVR5x2NQZIfxH>wWISpqeNt+& z`>iB<`GC(m%~$O3qYxu3o+gy`4bA&^?2=0VqcBL)!gQYUCM|{mcL-K=E55$-m?m@y z!6Rk3O6w_kO^K-U43Twu_oYVGFXwR{@~*Al2`9B#FNW*)w~Ms$}+eo^5@Sk;ghOTYCX>WdWwq#I1nPLgjd_uxFEy}Z>;K>KRLw^NTxJcZs) zlUrnKE)1z#Ad+4&?OeIj*${y-koOF_?$oJ(3a9TcA#(Zii!_g~WZN?KHkM6E6Gypt z6c(>FgPs){ONI;A*%RzJ%D)vN1mw1Qddi@CI`)?OYr?#QGo7OInGPklZ3w13tH~>6 zqgRuvqM?0S;tyc5BUd0!R$AMbXXR@u97rwy0G`*d*b}JIiGyMLa)h5*l=3ZS?d4Z+ znm%A^yyt7G(a}R<7YV$J9)d#(r61i0wX``QqA%t31vp@TtWp*A+EdaW*cwrPKe5!? zgN+GSl|pe*mkoPlAE=6_BDG+~a`SX<_k$&NkNVugvZMeU;kBE0o%NMadq*`?mfiVv zjIrGkd(Pan%B9k+qGqiEx1iZ+?FF8Hy~?Be*Jp!Mii#xBG^=Ko%xU#`;)-|t*?Y#7 z_Cb930$U$eMO_@2}!P!CUA05olJO?l{?LdYTyA zNbXsD(Lup|@=&Uor|`0a=lN}ve;Fr7pmZH)=*!jo0q-5b8M|$hcA?gj%36 zM^uN;Veggx;V9#W=LnJO=yLP%Bt?zCf&e*4P(Me`f zkS83u)JTk^$vZD9_t!)+CA%O)PnaVME^Z=H9$LL5o$s%iaMxlBKLXjgqL0HChRIQf z5HXEcD!v&EDt;9jbD$IJ-Qv<@Un2N^@z#t-%pk8BBgBT70s)ZoWF5Tv=N<&~jhszC zSvTY{JxxvwuyS<7f2?JK!&oS5wu$b&!|&DkFlP|crA>_Vv2^ifV=wZZ?`}zxbjfqm zeO;D3$%twQg%U&l`-U}#bAJ=?%X z`I%cGFJ8<21)-H%`$RW3YH^xeJ^^>k-3#Z6z4{b-IxaM}5u2JtvcHivub2Gbpmh0O zPGp}bRj;%O5fZ#;x)jp{HIrM)mx8Lv@|iBTZ##Pbg7>yUkW=QI++Xu}>uI|DE@a7) zHCwum!H8r_XlA$DN!OFD#{(8!4%AG0+wq)`{E7Ie0co-Lf59*R8m6T0GU)rJJ zwF;-qNm}$}N}qhCgY~qV<<9`2BLx?19|u!%B@w-37=Qxh-6KnL4E?x@d-c z+uJWqR;OF{_D&;vTz2+5o$Fhk3el)PklO{D;Xr!k<^95jw;4jg9rGoppbOl34!$&WlbSSK3q65U)-R0(9Jdl+>hJ9HgQo4y2g2#hQuilD&+>G9^ zd9bFO5xc)4Tv^~_iRykgooJ|b?J70fuPf~N%{mNeu^|})j*ZjC78N!)RD$3TUDl7!bmr&P4WXOTW z#OF`CsEgfCsICUR8*OiWf^g@*1!U@?b|RI3nSUesDYW1i1b|*oV($AhZ@;4LQ5FP6 zqIx|#RI8+c%t8(Ghkz*wepLlKF+=HeYvyz@t-SRZ<_YyY>_S_56kPwWQ=Iq#f=k2s zqXMAzMu+*=>)}q$ARRg4po7OipYiqh*1pnbD5OJ{AzehDs{6G(+6R+jqSIfdZ{Sbq zd0RS5;~m0XM2t;~eL5RkfTyNRsT0#mFGEZH-T(w4(Y$TX>n*2V@bIbZKLeU(nX}%^ zuZ2%Fw6=3=u8f;kgeBkFvnCVeb@eZw8h~7Cto8r(O4n}Wiq+e=s z-|y-vb8gFdTsF+p7sT}Xy3(%hy)dvb6XoR}lACMj|1c-j-x5BUC9?H*Uo6wXG5WN5 zpL(fg2xkRXZF#mV{I4amR=@x`oe3|Bt_p>O7q|W!7&|uK82dpQ{=Sg&j**t6J+IbU z+8kRiW^ha%u36>%*f(8Kr)t!mBVvclW(gZFmp{8zA&)B;J0V~^645&N*h=~BQ_@90Wb}Q~UVCcvClmHlISLoib@<>XXg; zumEpg0XO_B`7mZ;x@Zr0#(v+)J>G1grnK(Z>Aj$npl^LzO-uOVH@t%LsMvem#ZzY^ zQJTT^%oVe;aG}wRE_Qnd1}B}#BY5Gx$NoMGHxMs{BDK2N|@{Hzy)kr1eLB${0M!X8b?K9|5x`@-nKjub+TAx)R zhHu{+3crn7uft3m27K#fQQ1|Er$_)z8pOUgkkh>U4DJXoxo2f;Q=Tw4r^z?B&veah z^D~_vR2Q$UUq_@7NvKnaYjP?r(Dq@+>?f$ljAf-EmsUQ`02)jY+6TKkWZGfF3T{fo zGlluUukcC!4>$-j*vSqYOVGpZA1hO4lsPQ7N@@@xvA3nFGpu^-ty7ts_0agxxovwVLBU%})??y7S}Ax`gt~ zP4i`b!vdpImUoY1Udm}HPLtET{mSt$;D(#zix_Ebg;zUc;-3a0+c$E;Msjc?+L$Xa zQQxRRG`^%~x&PcoD0M9?cpqT}9NnkzJWp!^kOGES5&b`da*SL#z5M>ebh*W!w?!n~ z7fvqO>w9m6zpU_>&@{g50gL~-JJ(?7{l5^0I)r96xRjDx*R!(v^$5vXw+Nx|XDmB*O5ZVv%NNPB^^X>f z6=7c%V*D6e`2eqWeWhUeG5;Sdi@?*9u#b0 zvsB!daYcH)bngWGOZ>t$IQPwo=r zjT)i)`zh6Pg4zJXnI`+a!F$kx*g9{EpsuB{DWDk4LHo@Tb=!qJ!VlUVO3h@p`*__))(53L$BZ*9)}MnS-+QvraBva#?KyJ`DXgiQfwIa!82N^6-roR2k;83JSMt9i^2a1PAXd?xn-H( z@BWHv4o#txPxz356g^0}hmC7XY82@0hB9LADVDw5#;C=P((>;^qVuTiH zqao@+h>a^E#79iD+F*DhLSjfg6LCnL*h=^|oWT_moDFx>93c7pD6OhRhw>Uk@%h}K zGNI)ro3y#l^=3(MomEe0PVGL)84I@UjpG+$f0_=T9LQ88z|17+JYieR6ru>=vFZ^d;$?GADsT$$~JYR)o zB8)4?57zFEVvA+mIabd-S(M2LZnj+M9HOf9TP}k)({2yJWi-OQJGEg#>vb*Wr4d{E zBziHNm?6M_;RKjwjUiCNG}%#{FT~gSoNwlQ+?$pS#UHL|4;iT{``}aE5I_y&l?c(T zWk1A#YqNPb z??OOgOjVNvDsRN$Lg<3m@Ri}^?vg^$SiD|$(Xj(HS@%Y8$j`I4R`T>j>KD3}vv0Pq zqix+%3_O)gwwj*H3$H8}Dj$oE_*l*Pd4cy=>{&JAgef1k9pL$FPWz&EGw7*^v5#=g zD8Jw!LLkC%4~Fjs606VK`*u?108kHW0sy9Mcbw(FQr64(u?JK@rWP%NOqZ@sfotZA zgasy6xn$265rU=M_JR8$48TfFEVL`ct2L2}-P8-0RhI^yTQK5Ou3w{W{w<^D2kAvG zX8t+j3LsLSYW7)y)Z?*GPCOH44N2egIH35N%5}shwRKk~_)&eg?Khik0T-j_WPQ%K zvOjYAvI5^NAHQ891BwX)u&;xCP+fO0e;dnfnBU9qCPwFm=m9R58!Zu#%g_>{xi7i8 z^Oj`qK*eG|C#T%-rT>(UTifwe^Cc&vUUyuscxFXJI+jX}MaUaSF@CuCV3n7yxQUbO z4I$&FI*6#j$@j<1xj!ZV42&3y8&mHH#BBZg52-$&;WE`C``*niq>~5h)G#ZQU48C7t6pAEyG%X5BSGyo-c!EU3j2~K-?%8&vVUs+U1jW3Xc+efakV+v z!!dJyK;h>>ZLQMcmz;1znPd^#zSW&V4f*{|v8AsePUbGKyui}Nt984+Teu_Y?u!HGDeMpQ4O?PtK>#v|&5fDFY2 zH+TZ3k&=zV-JEkzbm9t3V<`SGOBI#U7ms1GPhg2wMwR_cfj}tzK~U~!$zJQl$;cuB zZTs`+RkLGRR9=f;Jvy?@qf!$%52MP`!1J_{gj0*9#6Isb%I9B{*81`&L6)nTHZQ?c z%;!dber{UjV6sCi^q4;Ix2Ep=9^DD7EBHGsz_=g8agD z_TExue)<{7-g5cN2_8p+n^3(|HX|gLa)Bzcp~>UE1zKGDCzqiqB+qK=y%VuRy>+o7 z)45S=9(r7T+`9lK<#pze+1slp+OJhoUOz3%$U(@V$OnsEp$qEOMc&0Yi8mtn7x#u9 z`+{-T#r*mCp}3r7&PccL&+Z~w5#0{wLA~^rC}?ULdEe}4=_7Efc-_OqGc|eQ{L9}C zZQS?8dRo`IY+VcC?AJMJ-jP_VoDZWUJ~^URkXuWk9(M;l55LRpx%4C-9f`aecX*Qg zW(D_C_u@v17#y(P6*x2CBf?Jz4%PZGiK!yz1F}s1JOPxtVu#sZRq53bH>;r*Eqi6l zc_bYI1sfyw~=bCu}kxT3BM2wP)Coczh zOfb4V#P%^Z#qn{tY*&2spw#gU-KVWkf5pixTLx?bZbi8j z=n{xS4}CZgTSD-xq5tc7)*XX@nJ3>z@M95;#7jN>#8^6PP{zIuPW~Z0 z^Z`oZu7hzHyUm&=dJKRHYCBPjjykP+>o4!1MsMUchzQ!2KZXJM+Lo-qH&BlVBUiXF zU5|)HcP>bng*F?OQI9&7J-^6+>pXzOmQshPuZT2CO_OY}#?+W<{^&p)G9)%O>Yk&z zM`s}G|JpiQa)z|h^jlk~#E2OCbZ&etG8C0XP1KOfz5KqJhey{x(E>%2i4Rg$cy$}Y zSBwk{1xFP1@%=mM+}nFA46xOk9y zT$Na~C??q$+^MVZs(d-3F5{AP^MI}&G~In#Zc|3HQ=b^gk_T$it_h`HRyK~$aX8_r z@@<*Au=4!J%&H(d&pmYz6Q-T9^2SkYy!3$Lhz|1|D(o5QYlrSv7TK1C6HY^5I)wLN zYWjr)GDtT+0Yst1k9dx(D&33WmV-Y(HmAR&EM$o79uZc-|+_LnqWxY)U{D_ML$0PN_Xd zUbRKpqmYD^EO_#Xd4JrKLtn`RL{hX(naZmE9>jCfVM(|S-_S3$jY!`BSLP*?eHbT? zxP%Yd8$ic|lJ)}2D$kKTK6BbS!yP#`9&u_;sIl*^e>jwKR?v&h-nt>q`6zj-ab7VG zhgGiPTH|B@jkN zEKzjNIR$+?^-h7WzbgvLMO(sIs$(4!5!TvX1?CGJj(FNtG zsQE2FXm1qz1b@M{y*{HqgLZ*wF1JmN0u7^8T54kPbkq)*9(*J_cuhT=DYt6-Z?7Rw z>GR1HIDl22rd8g!&v?%|@BX=>gdKD4g@@l;&o;kzXa6bC9E|DuEY&AhV;{6D9--l! z`r|6o-Wzvp2x-sIZ2>fPwQSgAgnxq9eHtJy!QTy+yu$l+o1!`U__Z+6v#p1oZ(Eu; z8Y@lL+f4m)ZP(?kh+U7NiP=^&8c}Pt%M^t-N__RI1Cr-na++5xamq z%$&4$s3fa|R-t{(@PwN$2feM=L5<^!^XBb^ zV|nx!@0VWu(D)QJ+9?Gnxg_aXstt#Xf~!})G&CId*NF?uw(DKBz-4P_IQai)Ue&ea z@#Q3cf9bs2BM~t1;JPuch57E2nq^^M;|`0I@15ZNOxuqDGh&1N{q<`{ zeW~a82@W0y9^yULF)8fgXKDs#_aX$=(q*My^pgev9Ir#!o`;Y6Fdmh?4ZNNT zct5CK;bW=;9)6C#$f9g!2>BCx27K<{LX+st=lWEeBkIpYOFE*hE)rUsXR1VO)pe$B zhVSQ`iI!y+v%{I$Q|rh-V{-?WJ!({=COsvX&V8p*@VSM4#l$(u&^Tv9S&@JW<7sr2 zuH+Kr)C!57x=bY&)_#B=Pm@d4@$0kPwFV#NN|iNP0K#BLK%{KM$!<2J z-tNJ6+2geBSc4Cq4!<)d2+nvrMc06`{0xj3HI0PD%?Pp77P9V`N9Vpf$igDpWTm8ck@oTD6c)lPeB5l&)3c>%NMMjNy#3ROcp|+w=&p z^^ePwdugI%D7j`AMM>6ZbU*+FA5FvwnmZqLBLdNC_ z#}%vMpZRDn@ERa8Jn1A`uE1|^q?qg7e5uor=NKF{-)fZ(zw#NN zd|#~quh``>U;WfUtWx*EYV3g`+(pvieQ@C^VG@CT7KkuW&D~RX8+sXPlf_ z@10wyA_8zYLN=V|{%g>P&EGCIY0fY#-QJqH#At~SIEy1>T-K|&VYL`T`8^|)|Bid^ zM&WaGoV`dhtoz$nA!LT!0sxX~pAYruo0}mLt9Fr;UvaLpCErfDzE2&-)EE*U+VL#o zI1mC1Nqo&vi3Fh53zntgEf#S;j!&$I(TSx>R-utM7?K8 zUvp!ONj^TPev=5>BCTNDt#E%!Nl+I8BL;1ZCu-wGI|aCxX`IoQUF zcO81aqX2A~0<@zF z>PQWG620wlUv#Ug*0paW1`o)+JOp=4U6*}#-|_>zcZ`3z=ORASR2m~Q`Ph#qy-oY*7IEoSBh&bJXSuNos}S%%8JCTx@)bG1};0HvOd$t z(>4w~g#=|?y)G}lPt+8X9#a2=R~yJuFK@DL=!;MN6n5-O9TnKJU)DqQH`pmyybb-u zCvM_uJip!5T?-_4H=@vk#jDezBIJcrsLGMMeyK$>fMq8m`*CI!dxPg@e7@V{*2toE z`!+9OhapCgNS}5>G4gBdYTj((_-!eK9((p4p^@2ibX9uG%@^rKJ@_0lSmAdA1R^@@ zHx9ItMl5+#j|V~~E2Y&L#Vif6-`eeUAM=2mSFc8C2usV1caR>V)Lk~kXeCmrQsll3 zAyQ6jCr|PYIJ?tt-aQNQYVw)dO>RAq4Lj@RFopcP*%1}l?i*sd=E{qemV#fX+!%lN zJ`6;)^7HK<&OF7ENBF(iCdro(NmcRicZFI>0po`#LS!7sGJQq>_?DvkayFXh!EvJowb(z2S&QhEiTvCr{lX(4~?@QU{dKK&(y#z!{IwD!AKc z%GW3fF2#w$AMPz<;N@405c8$VuHLkBOqZ^$MQgKEleG7lLEZ8G(js$(E|v(-?tcc( z3p^gsW76cW5MGbc!to8iqy&I%pcdFCmww|S;1b)>1$&evwk8x9^+&>xR?%m_!|2P! zgIE5%kaEZM8n4NuV3|W^8tGy_(rG~Tkm)?A&$|CV;5P|!P-{(K*1z07KNvn~SS|j% zeWn21!FaC`(sb?#u!vA!W?2uF@{?=uDD1@yYGW?tv6GssQs+@pwq*m_rBrh(Q^OPJ z0U?3Oz|!!~I$oY)AAPGLx4dG>K3aG9oz`D?j`Go=m^)M92kPCf3#btVeIs+|#v#Vh zg1-gfeTe8Z(&0mZ4fRJ{u27mp1g;4FDHuMmxcKFgENB-WV3QWe+d+-ec|4jrpW#Nh zGrL$FpdH@ua+^}O1YB(wh+RAaI>2ltDT#~zO_`V`c1Y*0TwH`ad>^>t6{<;jjWf2S z4PeLMPm;R;gxQLP{NlGdQpEx*g#;p@6kWwh#8_9nxiz74?!ez-FyQv9gPW?hC|f+o z5>Uzg<%M0GaNE3zhw$5&1F;(!xWn?_VeQnEo+dGlM)dMxz;i%ue=O`LbW-^j#nk$^ zztMq7c67h7OGHDtYEp>IsC3gT>=vk%9qZ4Khk~G-hqkmgS{pzVk8_?7yk^X>T|_&b_(zI9w%HV- z%WdVlIEo9Vixpy|UBvmm6r9h{8YCK7oj*aKh%GtF-EU5)X>5{#*86prsiV8r__rV_vuIv9qF113Ac0L~Eoc1VbkUH5E`kl*haLklf0G+6} zY2bVBzSjb9LwR(9w;xDvnSddO;|FJa?}pk_XlVp@AFF(RM#pZg_1moMuEnQAnU8;C zBW5Z6DIiVP1Ki+!(d^vMKk$m0qyy_{=E~lgh z^lnZIxVc3ZoiEAj{fMN(quqO6SIN@F>?z=#d+?}x#!nLi_YP{vf%bnME~FFCh~1ub zEt-}x3j#@?8IhX?wh!+Oe2^I2v1BE9+6=YbL_-|aVvXLPE(+Zbl2}kBdC@S$(Z>(O zvfNUl9Mrn{)YcJyfKg+3;uxVd_`yG#nQ7ASti0k??5=wAj)K$4>bhE&bsHk^zN>qB zRqzOS8_@fe5z!lRnvqbhw}-RR(m%tvM~JaDx&6$Oz++z7?#TeTN&g8q_-ZD}=6rn7 z0^^r>A2p}QUf9~yIAf<}NC?h5`zIpsIh3#t{pgdt09zBTXf_8Y3?)-sULhBV$Lt5C zYA0-&V@c6!e$Y3U_T`7XtVkg_md-?s!IF4A`g*TIR6#P=vZ}yqX!?5nt#GI-XC2PT z^E-5(dp1o91ZrIGRNZA#g$`l;{dOkDe^$m1tqFH#%GGUh6U!A9P*YVn;+^PVKf~>2*(}v2jQ~ z%>xJwyCK`PrmAH*P3vvaIZ;hc+ctpr!;9nM;sd8g!MmV9!`XhYVNCXf)yT!&Y1uo{ z0T)OL?6}1y?GQ8+SvMCVlPYCxv*>m>x21$~|Lmb8hlWs<=H>o3Seb^kxh9XiAcNH4o2@Z>W&w_J!75=fk-+RxTFqa*E%PRPOogC@I4q%BcXudbiFmr1=d|m=} zY(_tKyy_(dqS5n95k^MN9WE35=o^n|Hn*ybaeAF|ruo0EUwx;{85X%{19DmE>2Z=t za14qDvY9)By@zKnVWkqiEqQHC@MmEp%UaJ%%*yJl0@g&n?MVLKL~dD$AVMiZf9eui zhsjxvan(T6i-49#jl4e1=ot}0J#BaOFi2KJzK?5dx^L#h44AacRn<%Mw*M0pFLK1G z0paa`Gi#}NKypAqnvT2y5~gY{^yX6PR3Oj=ZPM$}Nx#GFV0*y-c=lVKjP`f!L?p7e zuknWSlFkH~hJocI_?my>S^s1HPmoYLoH7wn>vnqAl&Sw6Bz(+(-sjk^ycD|N zF1wrb%5SCGrc6_=vlbm(_9Z<9js5us)RWY0ry*?5G32pjLp0JQgbpP?9O9H9__4%; zRgHPp*jpgjZWMR;aA5&@F&?wVERo4Llh&Umr(jIZ<3B(bnExeL2|7; zC;kAU?Uoqa=}NrSXE=Q`$$^*Yrh!d#!@4$H7Y-k<_~mHrgm(GSGx>;@u$ymbX{(## zzMogv%-Xz{V(zdSX^W?Yi@@FP-B|>8+5N`C9LB=5Ia>u8Cw5nmJ^#!P=GAf{qBcuX zgAj?}Q>RNm1>pmw7Rc#m-?cqCAN<#8Al|y2s;crv8ac_VN62!%i(&x#)B`v3;ludG zGYY@1@lyr}5;HwMz)=pUf~KDCUUbbP&*h1101i1km))nxw`IHX&kBOpQS%ytrpV;^ z9sC4 z2n7dzrrK>aNykvFs)f+oD@4U9%E z=OaS2{NEpaG@jA8I}->$?NK^dok3DdII_WF$txGm2vNTvl70*a*er58Hi_N7TUmdEsB2A-S&D@_yI=Tt zQS7}FwC-5CzMZB9C+f}Bp}9PEi>tfAtL_qHy>x8!MsT-&)IS$iIX>7dm#av;ce6a| zxYbWe&{7A7gz-Cll>uLyU-z&Zjc3;&RQFH!{EX1I7gMb ze+5GB&6lh-FE7O&Kma15CLwW2!E8fu%@OzMz!j{KJUyARS{vPdB0t6SkY|7WM-_*O zlG@p!q4T}%x6BEq)lR-qJx>3so3e$c_z5M}#;H5$v({s4fWPb5Fo|xx;*xECcfSPO zQ2NYjUL>|~yt?C#cqu|_#MwUKzSbaJ-rx2}NmYf%Qq#br)4K0Tau-+Q<7)nwY}~R( ziP3}8mQ_&TpKty~C{_ec7jt&m!C|qER*2$uIDr9`d$1XAXU^3K4hy^!(}0$?+h@)X zir8lg5grl;bMb1XKN&8m#X$CGho%>-iOwbmK_-pENoJ1|s>=W+Is2sfkAtSt+xs*Q z1AQIzxHpcV6QRTj)e~YZ2)(;XlMvX+@pfv+D>#S<3;`i{^1txpuZfUUMAIyTu8rpVu#eW%+)tDi;d{^bXer_r{E==AV# zyiXSNJ?M-GHKLJiFM+cTy(`lu{tvtQXM0&|9{vE|LTLHXJoE5<0AB5`tXO0Cq5%c} zdY|am)%`*aKKH?$sI@K{Jf!G6N0HJcfWXl*|9sRh5D`-R1=f3pKu4NrM9-H&lVnu1D{l*DM_?~iKM?^jG&+dJe({awgHYRY+iABic4S*cZfrwrzlk}qQfiXaMna;jx zNC2T|?-_EUu?NBKC+0_zj20ns6EXz&mm&X?5_Edy3iF)1v7-BnYvMO84)Ri^Q4q_xU{P{Up(@+UQYx5(;^I_E4!$ZGaF{VN%@+K(>5Fro-Ij=26teuT)>Hg=o zapk7Zalj!FKnM|e&yW`6J00~68?V0IS@K;U*d*?oIZ86gC$=3mOeUY^l)OYHrt0}W;2-3GEF)HH$jlY1JQ@TPNAfIaSon)#rb2PqNSe# z>P}8ip)-WtHo6~p!)%Q}a<#X?T-(z4-TL`KLKkbhUPy~$( z@GCwcfS;YmBD~1H^(cROk0aR2*wJ4%sD);oF*(0Dz#>AuAqWGE*E~aJIHC%cE$2V{ zXpP#2x4UZ#7i!aP2>l$0pF418B4VIq4CxG;zLX)iteZuvt`I8qwegK*0Z98f=GS&j|3{Vqx z2Bry2&R$|adh!rHVhed6`#a*4)F{?cE8rktzRDvAr^J;k3`E}D86~l@X7h^nbCk{k zMlf8?0F<2qc4OD`)2Dt zk(cSMmFg9J00E`I1}tD{7@aHsb`NAX%1UdB51@6y`TOcN=sU(=ATR9gO^p51pzFRQ#8qx{#8v6aTUew)Q8AMCs$<(z-9h;-Yh`BHb0z-7y_simNB zkoe2n+uY{2qDVw9fdFAR-wAMkUsP@%5b^EJ6mVC{*gP zv5mL`AVjg(i_J%Nu&|Vxpq(K2+Q;e7DsqtzH4<#@Y_Lyj$LsM}=Xm_?V`6whYl4_i zAI}Sb@jB%336#$f({kL7NAdjukrM*R$lXmsP zZaFyTL_K?^>yPCc@_0A|) z4%g@b8vX^4cPgb!E*2Hz@#L?=lau)-&NlYgCYl7 zBKWv_?WfUq#Ht!soK#yNH7~Y0!Y3sT-lo{|0jdsyZ!iX*S-5V7d`Xo<(xJ1y9kN8^ zCOVFVI|m#$xn__m+V*L-lZ%3cqD^x4@8!P7jk{|tX!X@Qg*G9p6XOxD%4bXS?FH-6 zcn66q9V@5{eQ^s5OVwgwjyleT&NV~*om~a_T?jZjj%y{!!v)qcHHfj^c>hCi zVX5kKvPx8 z_2jF%x?4YvoDKE3z5>Y{Yj(C(*W&iVm%7iZ*6%1L>Z*^I7woxSC%mSM6Zw{h(!V+6 znKA+-VudaIy9Dy(4CLz_gM0+|%Ud6(vcrTsoo*@3_v;+ha+ywpGUl3}5tqu9imjF2 z3@zYuJKV0%9E=uib44@T<5JuJ=^tD<|7HE&H%F9}PLd~~U8=Y@n$g52#AxHv2!=H= zE>ZbIlJ!#q`SrQZ-wp1jI zPwkIKsiv~dD{`=^R+r2NL8oK1I({a7>&i@l-uRoE++6C!OV9l%?Ws%GcLLxqVukwV z^d3}X-O?`Zo%|MHlOEpIb?J&rU3UN5e5=3Z%qg4vy*|l#6`m!jxn=Di%{tqUwYl1v zT?klw*ZOE*0dMv3JPT3g;)C^Ui(snlyZuXNy*~d+GVOef{n*dmxeDLYnEMyr_+sH< z=f)_C)Uvo4oyFLHjZ1f=M|j$={#%=lKGjwjNXx3P=`x38LT@&7Fk~ zu3V@mkG;?d*?KjXE%RHiS#nfc{j$}w)%Q{qA*W_l;J|9I&1LFRnTdO8PV*p;gTARh zd;Gt?R|GJWuUT)yxSv~t$9hWl$`FcxewYrM(0NTLxXE&*>`!kzO1reTJ@G(j`X)7N zu*g!Rx$mP`fTp^PyT|2XKGp_=nX@bm zuGOCiH=U3-1eaO6lWn(}Bc54|>)tf^*Mh;5y7;L|IM=yhd4nquIWPKPbvm?s~p&R(x_3|t!M8{G(L zvfxR(X-iUfHIsC@im31^GszNY3U|)V&}^zb%))r0)1x;kwM{VPj}f^->fwoAB~ZH2`+G?oarwvM==I`TqUUPo1vlQ}QKO|~unkVqibihBEz7`A<2 z<)35W>3{g7CB2np#g?${dThdpu`85+dNj&SnLTF{VcuSGV5MGD6hKPRQ5Yp$d&B(r zDLmx5>*}$6?N{Ei?kY8{T$~DYdO0QfVPNy2?xEAwK@KzbpTd}*QwQ))V0uq^`d*VG zM-MGJ-Tg$ZTi`0dvJ}lPoZ<r)*uQrzd(js&sxJauzQN?!J6 z>MZ1m_{7vl+)lw6e!MH8rTa9j9vt(gq9wNkk&PUM;MU9yx11|0F=K;a!eamk&d}k? z{84h%jkZU=&CsUuAnfxJq9w=57}L>@6EJb_HWkoLb!?&f1X}rEVQ_Yy4t$4So)#?m zTa=nY)87{4n>i$$xMV{+*{L=N&X7qG31hVw4Xbkac)s4EGfvs0cT$4pFazK;5_Mad zABO+%**`2Jvn|pvk&#$*Ip-gQh0Ux5RrsYGyNpTHWJxq*^O>GQI3`hjZL5vjHosTB z@=!x_e&+NNaiwzhlvezWaWCv&)TMv7&76l=A=kT}oqRXB#7S|`#K1CN>f7h#{LK5b zH|{H=%7R3p$ISf)6<6N0MgC$!3#V>3rEQJU{bDbh-2U49a-m@eS*lvsn2=?6>^)N> zII(3Axh$7ZHl4oE-0uIP_-;L!F@N%*FFBScG(g=RyC`I&WagOX(AQGa4MY-Ac13(A zO$(O8<1k`ycYx_b((|Ii>}(4)oxdD<93NHQxUm?4swUXs(!bB-xGy*5<;b!>*JJI3 zR^LOa`%$LP2|JBFt~wW|Gp~(ZOLR-J*JLfdnY-hZ+XAP_Aq2JvzVJl^g#~{O^9msWYp>rLpdg$Twc2KfDn_lRUig(oy*3^9$8% zT#o3K9GPzyn)HVw`cl8m#4I|SGO94;MFyKT9B5WN#V&(?Z(sv$l};YbxJIo0Jd*-9 zggigWrcWpR&$Z91oBZx#bS!+nfVTfmZ}}`#*OxM&-z8kU|j?EfVVGezVqo^7&_D0I3tP%SutaXEJU5Tb7pr=0T?4&c1FbH2&S`5$ z`o7NjUfGS4B&7D23>Kml?GD=Uvy5z=<*Ln77B)%ToNGn{P|o*CRn5 zE%iUz>zsg{UT^Z#f}rI6I``yATq5;C3b=tAkNgD-Py^T7_xht;w$>thw@9n#$IMamyGb0T1o8ts z$fV*FVD8?)5qUWN?4j=N7`Tyc^K3>ItE2#1SD3@fu7{!dUYF&nGdpBZwpZn!X+T&nH)RC6yNl|x}kyc^Gb^fz9|$N z9Ar(uZgNb8{kSi658IRQIKoku*;vE!)PtaGme4U z26l@oeevK@Ne^h0_ENd1;a28n;I@(&x|1KIe6*bRW9Tv&m3I6LPyqUZsGU|wircZv zD=x3a&7xygyf!`edCN*Dw0EVw|nXa+WUTS8xl6EMrE^- zSgY~_ri1kxj|~Xt^Vw}{MhVM&3m^4=0TI}(m`F)@W-UU@iBFE+Aj+{$!RO?o{)0QPc|#szUq^BJzzzKjFUVe^H6@UL3_ylZ!H%*sL~eUF-taA;g)(f& zDfSmMm1t#Yh;`(U1DJ12(Bv~kL$eJ5zXFWI!6YDAq~ExrR`kFGn+TRQ9+pA$FT zv7@*fUzZ_Sb~78h3luCT(8uNulcz5AwNEdFpc;(1DOxM^_l=N~H*R*4{y5&1Lc2W{OWdwxa zwC4FK19m-o6nXuH+SHD>i4&ooy6zeo5@!*^GcXd18 z!_LkLz7sGaBflj^EYbMhXZaNRb^}nE;voD$HQo?GY z;abKRjz^E~Zf{$&f1}?Gs2+ zcx0EE`+=1L?nH>)@N9!j(jFb>$xB1MVQ7#z6H>Sw6{gqpV5VQ{$*Q1hP2@CHT}E}M zeIq#xa8Xz?hMUd{i)0)@J_DznQjQWpIFg1bZ+{h9y|TSLH#^A&o6o|VaqkD_U!e1& zBw$V}R&aw4S2p&YR~(|z`N8RDk4OM|(9L=ff+m}{3j=M-hR^UQZtiRCib$Ug@Fw32 zV6-V*ILt@@#J#=!GvrbEL*JHa8T)2(;k$`{(pmZ2V2imWf^0kkzc$36V4AAc4kKb1 zpbm<^pH%K77pm?~6`Hs>8+nhwUL3VLF2=4|x0#Z1N%$3mgX9qvgw=I0@(ZG6m^iiO zt3Lg^=Jqeg_jy-c9;FUxNVkL z&Dq=k@SJj2CjwC zQ}Veuj~L}p{SRq{jLwGKdy7YH6ABrbFGij8BUJ?ZTtH2Llr=i#n%Bo zcU#q5!39f{!&@n}!8QDxyajqIiD>J1k<3mq$t2&=N#tz%S+7(r#4kaqqr2(cIr^T0 zt`G;+Y8_Y}tsOwB$`P4Z874SD&qh2lU5)1AwdqMkP|J2g`7aXi#-wHEP-m~X6^zx_ zc-`xop~K{|Q*Asq{3txj{Ik^td&6KsSHg(p#3wy(Go{Vl4ktkDATBb-U8iqi(+`9a zp2_aTh>!Z>#})Np2-*SA3u>mreeYYf*Az9R{;nAE6AeH|qAUauE7SimF{vT%8^(2m zT829Nk>TMKNG-@@R?tzZV;wte=q8F71){4Y5l7-5bjBz%mcKTEtMm*)SAJYOOevMz zBX=Ow>kWLubl0t_=l!xuw7(W|cARNjP3xs6@vk5oXqETLWH`nicC(yaepUQ}9p?C- zl*ZBeFzIW}O5evm-R#XY@`(!}Pq!};osrz#C&|84_*AZ;uU__nzr69X9JY=v#J%H` zbliIla}7ShF%D5@ZV5_+or9=M5{tX;}q|f z&E#{6wPNBJv&^cRXm&%}d)KZkA5JcI|7+)LE|C zXr)ctinY_G>46_Y$h{VHMc>u7$_2T~**~W9hn^fQu=MKbkc)V#=HfUK{kJo49MNoh zO^V^GXA?<(wl{4~bF+@VdTa*JFrl#AJ8BApodqleoakx642kx@Bge%tkFSz=1B)v_ z1o}>{Cxr#>Z19_M^x zX;_uxX5=dEHJypqWxm)+O?(R-C>V5R-0~?nTmA8rDnr3qJGOs;7gswZ4O-2cp-1&n zaz0meUgmSRyEk;(s+CIL4>9GLbYJG+j>N_tjxJc7IrpN%4)6KOM)j_;qdOK-$Fw48LMG=4MAA} zKl!XYNQqToH$2x^9!c*tFMTV-%-3Fuor9kY){n5=083F9u7?OSEBjL)YElomB7&WN z$SU}fYjmwn;oo2ro`$h=0<34-?k7H_Lq3M^a;+kFUbkVVI>lgsELiO+lQJ}$XyeU$(+I=%->hoH>?b4P!@1>~4S*d(R?igaLe{E@@Xhun` zGjXweQ@1WDPx_V|Ccw1dNB)~7E<^gW=MV(ocT`TRF1x;x(#ju|x4NsP5TxDppk3*m zWI3+Byu9P&p`nuF-5wPyVXrj&C7P%GYf!cg??kSByH0i8?~q7Dy%NtbcJRCJ0_y4X z?{v4Iw6B9zjsm%CIU{9OxI8>5RAAk-2-ome*rI1`O7##}#^8gohTVb!(6ZAlhkf4* z0Pi-s(R=4Hox?m)bE9*sQM&Y+gQlIMTh$C|%>8vGyX&k)1!J0<@ER8Y7q%S2qdFTLc)%j-&*A6H?4PN6<)^3BU6Fzi1wB1;mdS@Gs|ycG$zHP zmTzP_*Q{L9FS%tPZF42BgPB+8@(GALAFM6>3<6<{o&&A9EC7}_vIjFb=ePa&{QJ#6 z55kgVD67G>#q>RXunhRcsUBd$V&&M6NjJI>C7kYG%SZBeZ+!h-h_x)_q3FMD^R=7! zA=`>Q1pRFRIrDYDTCAFPg`Be1-q-rhLc3h8Ag*+`mx4#<*cXqO3&s%>-?t=8K^4_^lSY=x2xnzaFN=1wyg$RJi zQ_hMn99EEk?l!jD!I$d7@I(Fts}Y*DTy=VwZn`y@Ps>P2sx7fh$h zA*9b-WjZRNt;M5<^%9zZK|%Jw!~u6Wjou?WEmz$$+0X-_w!W9_x6;3B(*{CREBE}0 zhg-!kt_uUAq~9`C_OYnjoko~97H2*eLU>i?GiCnhQ;gW`%;MXJhQZfn!<^HdW zjC0alzCQ0jBfa?>@%s6~q9hU

    JF{vxoo39{dRRL`|E~{mGg5>$4b{A^nT~qU$HE zN8`C&QcT4Hm2SUCa`-Y&`5e_?SD*k+>|#pP2dBxgM+a{{IqHAP_~4V;- zmc&k|;kq^|mE0$zI=)BwSP4rz-BaFo)Ecw@u%YdFcUR5Z?d#(|w*{bqDrYWykjhv; zvSwCDwA!5UmwxdvjPgTgv(^7}+pzKz0v-`Phr$i$&+s8)HcW-#FX=GNSkuu>^%D>B z*hYlM$ln-bNqu7%f~tvcrUm#4UFEh6Gg=B}PIztFaaf>UWHbVq`S!xmjifso>3136 ztJ8LB*WN~=<){C_DBmfgXMB?v;T$Cy_ab&{M91}#a$If2V9u(asZ@FT-<}(S`+_p2 z{j4i~zM|Z%g=SaJwKv~7?342Rf-uE;x8SJmo0{I!mVWvBf{s^CMoT|TIRg%e!F0Ij zr5#9uE<{FtptGaItuneNvvi`vN(}r+WpAwDm9xAn2w?)jW@ys#UA*k&8 zb(axCYvr^yZO;W?(k>shv%uq>hME1jSH*CjH_<4Hk@`WcO zxP|oh4#5-u0+KnMU)1E*$8oCaeA<2bb-i!Yx~zT>J9ao#yy)0Y>f+>~(XbbPslV6R z8g<0{Qp?M>B)zHUNK}>1_n5z_#Jy*p)~D;{pM{T61taBVah+?CpOa(Cx7LBd<2_Hi zlmx1bQe33Sn<2OD8T3M%$V|mVtO#H2A^#!$az(a@5r-=uLf#yn5wF*AGj4=Iq-$ri!^s0(IP^-HUof=U z)VsoSs5Dic``$HhhYEZ8nFli}b?7G(`oiMOAKwj~*dO-Y_hl5ib{*NAQTcx2NSf5|9?BxlF)|r??dL2s|yN>~-jL6On!S^Fa*_zdxP%ZDXC4ocf1WMkTvlS1_ z!@)NnzIgoWMhZ>tP2>W`7F_`4s3&OA} z_$tnyn|_QYyUZ(utLhpfl-FL9aJLZ&ulWOkp})QR(Xam?HT~gN zqExDy$G!41J@BA-ffozFMz-k>18UAUXn*n=isj48!L`{R)(YpHPRxZwDfZD>dE(Kd zUo$*PRtlc<_lAvZs^zNc)Kj;Q>RIMiybM1vry5`XN?xd~mNJu3yfux1(XBp`z22zQ z6p!Bgi*La>g|CF1kvTDO={9R7jA}ui(Ep;h^!S5~g>LYi#+Gw%yZvPnlxLSMh@#2#5HiZoC)vwJ=FZXSw#NHk=p@`D=0QBtWgOEe^%Mvv=U*a-i(lT=cWr@`q4xp{`^Kkz4O zb8V6>KR85C&%+B`HJE7|x2; zW`+5>MXo4(yvOp9N1wGO;XFF|RA3)W>M?!Dmigo;+q6VJpjr>tRNuEIj1{fr~3zFh3%A2f9Pr@gD+@^Pc?$AfX z+liowA6IY0VU3!xN+(y6QhMq#znwXZ5lJ38V$wM02Ijug4@F3tn@xF|1KpbG^;dUq z^qBo|xoZDf*kjvwAqZ2h(N+2T4Unz{-&c-3m;Kj|d-@WUkhS%qkQTnl4NI`a6nRA} zDZvf-@+`4^i44+>)AXsHu+sKhlc#^*CB5^=gYjxdRBHK=d+%7cM_tVw=I!*BH}Eqx|Zgh#>Tmky76zr5#MWzE2edl${r2ZPTz8ksA37Vq!-m5A@w8ckN} zX7>IH*Eg@<<{Olp4F{CzC|0wwAV+v-o|x^cCe7|&lDSbmMg^5~wyyCh=WX$OV)B>M zZe8DTgr6_*JI~kfd>tT48Ry#8|E?DC=t0%Oe%s?m*>&%)Tcw!j-NK`}iOX=Nt-5V@ zqOuaQdutwoV6V_7SMQ3sD1Y=w^i@2yT+WiX7(PJkYVY*69sJb*JtA2oof!K-ZsVK~ zD)7qa`cm9O$1POJ>k|fhi6n|9UmCXyg9wZXFeqFIryv+#%Km_i$?>GsN@~FCj zLpIq?f#q%{L2?SXO92x9Ai?!tk+>Bm;0_F+@An_6@8!}CBl@INrNNv{UwKu1lufmb zV3g<`4D+b2e@b>XaxE{f)&_NAb+av9()(3>RC}oB%Di%xpIbs1k9~hEVWjBrQlHGL z#KCSVk9+LD$fLdWOOA>~!P4u8`4JYCxUaMI4N?-c-J0~$kv$^XS2c8%>Cxl&-yAYA zmN!WM5hh&20Gq;?D^FvyCBvIp!r9w4n2VbciZroMkl@xmM>;qBdB(vBJT@O7xjKhx zWZ~P@&8a*4E>EXmPtwCwHJGgFkUoX>rP`?d1V3hDg^UaskdC(`BLxwIJ$4{_?P1?$`4|B z@eaVjm*xFP5xtLxK;u-w9IqoO*DXaJOn3oHbl3bCe~h z9+A#*QZu312pN%BHaHDK#n5HkX{szlp#t7fii_qIJ0R+R0Vxb~vAL)AEC=j%dT&W^zThbK|#;nwct7Ztc`-&y*} z*_A|EYu-!yWbaF28kNyV=>n)xElIHzxEQR)O5o)FSeEIWczlXs{?`jzMB%pf=gFN) zN>&xPR=JbbtFz`Nf&igAvVcYR6x%QohZ46J%aKxuE~TLEF$BO`Ckzv5KtDMEn}81$ zGP96#&Gv!*oF*4<2y5S%l!6dXGkN4tc?n7FEtqV}7+_er3F&NcVOk>?|J&35hLqGG zvf1e^kGnnHiCE^XE5DueZGSOz{%=^{vDBHNFc()U@hG^syELpN}}6YD6~7pEp5BYCrKaz#-HNu zPPH*{qc*ZnIcX{=UrVZ;_E8G);I{lbw(>CK`Z&hTZgTy5>fR)L=wdyoI6Md&S)Qj3 zl5Y5u==qb;>z_4t>_!kcp+)WPEKZvo4yl_;3HqePV_50O_@P1dAhs0Y52AqHr z?UG}>s;lAT(S`T49r7XOp0^)i%|4vhPN^zoB=Br2axs!@^xbUV6>eG1@Txx0<$Xul z9WT%U!ZVlVWy4f^6Se+jvLme|8muU{hD@HD~O>c@*Zl;)K%Jdz>iT6NzXD!#Dt_%3jpQNZ^&7tg*m z^}uQ(N3ph5G8kR7Ao5oYQlh&yS7#G#u3zR>$OT2Usc0|)P!RQR5;AkWcI>>tl<^Nx zR@T45B%Mht^un59bn)-YF=N%osf3L_vexjR1MS5WggCvoBS*~Ytze_#b{vHKFuyt> zVh_8dDrf_O&pe+KpH?XTgcx9o7#*q}P6kCyyPZ<_^P;3e#<*k26H1KtEqq9Hgb!z; zz3AnfD8P5ks&F!$=@0uU!lQ1=+OHK1RS?u;E^5Bdm)}5|TAkGYR!M*6CGd{H^x9~- z4sBL}p)xu!Po2O2CE=uO{;gH}irMhPaH0eZgWr%)>?rFrQe*b%Q7RC~i>yt!Yd+B^ z4RaV1%uiOv%@Ka`_+ZI>GUnHLWti@PAnhtDj4coOIGu9Fe zEiUbn(46%dNfUcGq@-c{n##Ap0QY8Ibv?|R(FvYr6}oNw5jqOgHu_kDUq%c{SY%#E z8><0GG8A@7Yh&JM!_~LQV6;DA+0YE12RGjH^a(Q)3A|T@2(VgcjIC-}=%N2siu25y zKf%kLed(2_p-o(chA%mCYpe?=sO;rLIiWtg6xETw z(>=t!P&&5OQ1w6fv_#$~J6`Vnyi->l&(SPq`Be0~%OeZwWB8Iv{bLKZM)MvGwGRSW zf0@9@mGAv}^$@$SF}p41qaHn;oY3q>oQ0sZ(i*-HxK6MI=|Lh&C)h@mz-`70Ezx_| zXG`A)>u7{eAe9t+c@FJ$l82_cVFnQiDari)Y@Pq9-yt23=9d2le~RmiWT{mm-v6A5 z|L~4g_d8GnH9fZ@>zWFkfoV>O&=rfunM|naBA%yUX|aiKUDvNWW5(XF{YGIBcA6ga z38#-G*az-pXS8*54r3a2DsA*xBH_(AO*o`QM2D8dcW99v5g_Oz!we%2xNW}t0j%rX zPkA{Tm4H6FRgm|{x3c+-eTrxEEpr-rIWypacCfOB zGFppEhL}1b5BIf zGo3tq$0+3@FZu4&w{wUN=NLtk`ylBtHYFGOPS)DBpkg93?Mmf_ZB>VX)^eA}z+*SZ zF_3R_dR{sgR;_=GQZak-s{-=W0J1Y;k^JlBJa&@jvmUtlQ7!xg)XMqlxMnv}aLXW^ zb2>G>gzrYC*XYsFy+9@^ZKRAb|C+3phwtYCXaNP_(g0E62FajXMitfvd}GX@V){QT zDh>|TlTL~yk~0pPQF7y$w+EVsXW+%JBz8|NLHlUgla4>@BgigPc3`o9d3^VkXg6y){w3GfVk+B zA+L_fEg@uxE3se>Gc3P>rZpgQ%WBKcENqJ|V$IsZGcf@DUt7ZkJqxD{DA;MHVo_Cv z6<7l|;lK{l@hcL8X&w4V z5!>3f{f>#r9WW;p!pN`+VzEt@W(Q^A{crYw+!d${|JLRCB3RCg=g3RLV@~gR$-P6=g@+2 z_FKStSa-i~*%Q^aH+Ue7(s;XReWY~=dGwABeP^|o)}#!KAmaJD>pyQ3vQ|xPFAlgU zTlkll_vN3GA<|6emI^GQPn_{3Qw#dG&^_9c?Z>~*Wd+W7ct7Xt)fE1HCmYo|yi%l1 zL@4m4t~91X2}=9)?y0=!$S&9_E<+$*ToJhiAYf~f6XSC)4B=*GMZx*>B^_YkClXd~ zn2~AS9wpImw=M*W*pSU#_&*%Ji9&FM7cHHRZ5r<{1_kOM2F(>8Fo4HYF_bgGOz{x= z6*Mly`Y+haiouC_${n6zcgPrkM$Fz_%iuxLcz;#mZ>>c=<$|g?Pk^Twhz5$&mqa0}%R-xN@ zs0ZcOsoulR*rQEM>04#FZkh4!y(#{-Dc_)(B{h80Pp>IN>aCGoyg>2Z$el z#IXb4=Mr&>Tm#JD6>=^Tu0OZ2OP6e8o+g56df{hU8U zv?g6OTqe)Q@rBK1)Vfl;LAr^=%-sar_^fi-2*3;AS?WNZlKgUd-&&-if!C_Cp!zp6341 z54q2jV`4WC(F>viUHYC&YP^i(I2fLaM7jARL=Z}_8`3Yhez%K$WL&*rEGIWA{aNunURjHNG9~oAl|*Vp!WsPvQ^lWVMq`BMTOlqicBh?M_AC^wiS=& z;uNTarbhi2eCF^0_$Dders_* zrJ~Vke}0b!NhLx@+4DosGOuA<9+;atm-|k+>CPJ)ETmoPX5FO&0GfX6DlMD2AS7Uc z2~BP^MN;+Fj-g$lWJjxCy@uZb)hNyv4EA**+d*jUOJJ$%`&gS3^qM81F!sBWUbY&v z4wrAj=IWgFzsZJa25P+D(7rCoLVI7ma!IyNiY-TcCmVHw^1kj|IWd@bCSK|2v3*~c;Ce?B#6(J6OvYl z3qSRD)X>JGU{YElgMy&K!nVEiYx(=G^d6A6@COp#02{6|O)X-_rC?FfbY+rYB21|# zn}Wg6tosM8OzE=?o!5DjL?LBDNf6noJdWKcDbqi5isj?JnL7;9B9z&ITEj(hhf+ec zbJu88WP&2?FYCVy%Kp6=JOXQ^p9Daq5(?W@_F%SDN!5eBl@uY)z^Egd# zzB-0UPUZ`Px7$OwBAFU<`yk=}iksmCUXC1Vk#NWMTraqe{(;;^6?t zAHlvCFPjlk6uNRF7Yu{{cd@!i87EGEFJhLe!Ex>^{L0@%6M6)@15n!ayTjYQCyX;G zsYt7YRT@%tDv%}Lc7zr+XNTkw%Kc#S(`Sme$Y$H^WseaC7pvAGFG=8#kk$MPwvxlo zpjjaJZ{VA)s)yZH(N6QNuEJN|S!!Q*FL4k0kIyzli1IjgL$c~Ssg_$aqiEmfkCQ79 zgy6mch04EPzuLCH%D<)*GUqwL{r>fW0lEnkC4E(T>6V@)X#*}=L2gP@jQ*i1jVcl% zD8jjc&$@IbKyi{8Xzizi+dw(oy>B`vV^VLBc!1A3^ zZDMjb(KVdBeBD0AAJ48SPd0@4#Egvd9Q(s8E!@&17Adk?V#E&G3QTPSM8Rfsa^M*@ zCPbu@8B;<@;Y2%s6YcFGcIT7TIr0Za&pr2X|6dn)TafwnU&SZ!c*2!TNJ9utQyVam zt!~jZN@f(>Kj>4vVV(=u#?}qF{=hctmAQpp0Y zN;)p+coWOR%5e0}b9^)dV-#)|Xn8fk|B!yAq6Rtb%Uy2od`4zId}h&VhXh)qTGmkM zVLe$JMe7e``I#BmF{=V~X7$zXZVyPYsPn4sdH8xPkk1s{JGk3fXlsm!>9olPcM#{# zC9%zEvWND~GTJzM%czkco~bf1(VhF_3g1B>V?er-b(F4c9=+ZzVPg~d=1_a~e%jAF zpJTW9lE1`lBHhqNYNUsgtAABm;b6**l)DS&`V(sL0>y>|ZDBU-|4ZzZLO;SHfP z9>%Hj!eTuz#{nYXAZ zaFHsEf3OnAbshwexyGN)0_y3A>R$l4DzoqOZ>=I0m@*l>gnt;ilCx}E9j%XWJNQLtkPO8u}U4DMawT$xCn6uf$mCn z{aZK9-KUPtkBb^Y$tW6G@!*_(ZJ0E1Jix4u_RuN0!E-EbYALK$;Kw9cWZNkoxSAAJXfVB%PYsPm1Xe~vJLFGXYV8*@WLqBE?Q=GIwh(;TXc z3te;`%*~zWislT$Md#xgy2DpsKx_ew<`+t=et*HgPme_j{PHiq3hFMS@Ck!PqdGpK z(iB>87DBuZe;dM0=^Q^zpUb;Yoyh(?>JgytvTS?;gHmpO`PfMCbbJ?5r9DH6auwbq zH2v3>27DKc22-}NPv*3I{{4vU-}VHw72|)jt&r?2J~Ut5Z2o}2{!9(Muw~IsGzBhY zzVYn3Ki|a!<^NLXI9@Yh=I^FUul@Y2CcjS-U+a3Ksk`c;@L$Z(taRz*6UT2HIl}1l zinr|7cn0*j$p(~JbeOc69?-wKnt!429D98TdF1(J;#=A2vmyGMB;^|T-Mobjd_`DUd%Q>;yUeakw6My@@saC;kU zgE`YK+@tor31ITl{8w)x-ldtelV~P%;T#h4P0RU@r>?#+b0_OK3$Dg zWquQ~>PTJPjq7m zlI&a6Yt*pGF;3kmce;#!+Rnh}`ZRex?+dkrvUGm_I6O~sy&_Tz)7wDynhPI|BwO~~ z(^tFIRU1ZjB!7OLx4BPiP(~d2Cyu$T^RZT<)z+IH8GpW+e^!CB%ZKWEPM$gx1_&A_ zt8ve~J>GiiXTlzVuVdUusVHI)2SKL+t~n*>Ds!E&B&AhEVxg(eMFtX2Gx!|hv zz|JlhZB2`ytaUu4LDr6c+w#DhIYqJT1Njn(7cM?nzWO(EfVg06;9;^am7wEzBQd*c zHY`W4=X%atRud+;yIl>tS|&2v@;N`RuI5*NUVF|zYI?zBvjX+S4yTg$*A@#x^(L9M zvsF*6bRLWu?_O3o<{8(hElP_&XPCD2)O2zi5HULkF51RJ&_8cX*K8)~zI=Dk2y;hr z`eP#s#&e?U_PCPSELxTL4T<=}IHfZj7GP+HIk-Tfn9C^=YQCcr(@jjE=V#gts>e*A zxf{fu_SPvTCRbJ(O5>?_VRw(Xgo5645>(vk^`p1r5&~|GsgeMR%E3zHzj1`EA2^^W zKjURf2Ev9f&-Q=o-F~mK^K+R%Y6u|6S139|fu%XT6a;XE2q&5a;*;mgb#0Tm7G;c- z=vBqaV6z&u609cUv~93mzi&M{d#Dd1w>C?UWzTi99V=Mn7U9zOZP)MjxTz&dLt`u< zC?BQM{%l$NRM)!@_;RC?&GI*ml#5K!41sX_=PE`=T_W?|Z<~|}ejb2lJqFRgQ+C8P zr?Nu%l67pUK_ct;(d>6~m>!}AGEnLPjhU~f3431n=noL8U6Emf`{RS7tSdokelT>X z{eSG6&A?&>8VbLf&Qk}KJty}`cZFoW!r%sJfy`^PL-@BnPbL|s$O>8tBaLzMD^H%! z2>Fq(m$qeT??L23d>{E;H?eVqAChcCMl)oo#K#)+q)xXB zD#pwUW6MG)X?V{`R@hM9Q|qe&%wruHPkHf7E}aP!d!17pR2y!LQZE`hyDN2Q<7~@Y zkH`-bwZVN>d1HEsYDesXO;mYjQo6i+p%6Nj+xe2V^xK&nl|hpTI!t##!t5IT z_f1-HFTK*nB-V4Do{NRHk{A5;vK#iu6pJ|&cAB}5^&AFQ(E_~}oNea9U!Kud&655p zpC>d*>mGaY`5;K(z@)ki&cs`}4R4q0<1Ek#SY}oF-xSf;B&qlqo&~47KzI#wXdDcy z>^#Q6!a?o9IXcKgKX6|`G$2pQi7Pr-wwBuPN@(Lw9|z`ifemU|v*}KI06L>3U`;s2 z;0F$VL{cJO78tRUnn5R#_g^W5L!k78v4T&i8(wPCn}h?1-T`(7*8_^x`SpZJ_Gop$ zUt>I#@aE#N?7>D;r~&0Su#x`{$`uIE)3GR2SszYLTL4#z)R;|z=QjJHn>aAu99t+% ze2kZZI5VZ>c^k_sizx$!uC^YHrzZ<6%tm@J*56%nz{Y zzWPbrqS$T2i7B}QuZtH4o?}o&=9@}JR8hQ*+E%<)I|n=R@7%4Qk33wm@+`TV-h$}j zXO9(~biC=(Cbf@hI&hB;)`!X5#ktY$51jbFu4dnkKWgdZhz6{>SG`osO(zE)Ct1#) zba2pIU#T+Uu5b^e=A9V3mz@0BdK@E9^WsXombz^dYTHy)T_lc-otp3c_~98e z1I2l^swB=p_Y%KQDu4^c8Ef6is>y7$6S@IF=Aq_O=PQW65ea&sWJU#j>j3?I<&+up z8LmlKgug?Oa@SLGn%j0`e2BpTwbWDf1{{3XB4rb9Ck@!w5BRRf7wFAySX-)k4)>2o zHj^cJYHxUQS}e?{bL`oTm}IDQ<~K(epa7pJt(7W!XB1!y34kC5A+G_;k64F_At;~| z^+dt})dTd0Q}u)6*-6#q4AvkUzA@LaolBpo5kkm6J4n#!RMv&dCbV_sVwF`FW+sB$ z(xh^&ddt+BxM`b}6m)1O8_8+8KC$EaVah%G{LR)$V^qqjGH7{)BlZ$tyTR^HSW@@HjhY}qDfv7bB}{#;BVZ5R>EtTe{B;{ zm-H7dCC`P~TSR29vc)6DTTdho#B|r96-S4uvt{#pw{<)7j8+Yfp~C3hkwt}I3(6O& z@bpD%R)hEv_m>Z~J?d4LSod6&nmxwsI&G7N8Jg28iC=x@ZgNgPs0~mbh#w;g3JA!n z_=|G$%5R;PTq7td?favMg_DmJf3J)wJ_DabIIU9fx6x!M?u{A20t(;DR-E ze(xyv51|Q@-P53ySUO7j$o19>-{q?-pz*zAv8t$3|07Fc z7)QfIYIG$eO+zsTbbO;r2}`FyL+x0!V;UG6e%l6&P}kaDzE_Eykqe1kj0b2sOtP<- z(K1VH?jS;~p34mUGLUVm!NVR7=8rwZci4*v=6{<0)nqqorlDJ;ZYSH*P3vdDoco#* zs=K@lwY%P-&@fPQbSuTW3hu=c{$!7j88VH{X1k6kHg#}dfK)%q$XT!jPi7CA*x0@Y z$;veZR~hCz)xYf{qVl&O{P|>c zrSV%G;%c23-{EOb%SPv=c>Lff^RJbv{hJPGd*Ti}txUfho!k1$8B-0{^uZ31-cfL* zC)g(DI1gjqOh;evTrOWo^6jqM*6E#9-Fo~^R<2T`@icpX+lpsy#ftF(c!j;V;U%9) zx{c40td&wdmHU$r>i#n*Ng87~LI)pqZ!Ec#6Q|^f?vQO=+wux|Zb+b5Ta#j; z&Eql;He&$)9$X=IE`ar{0%>jwM(5{Akntn!v!zuc0R~{;H9;Moave}tpc!7Q;r~-G z-z4pug;hBoVm)G~*j%hDTgP*C7nSzaq%98tyoF}lKYk0+Qx2-a&BDMS;hQMBM9YIK zGvh5D<;X;iAWNA3+|2=NmKQD^5zH#wChfaQd*%ejwI1RFOn?^sKQlNkSbDviR^gZS zvumo6gf6P6JqPh3oT1nLQ2l}M!_K$Rx!gx2<&z;_dD+wVGG0$H@o}=`{gHudq2vtr z&+lD3BN4#kuep}1uxCKBC`eefCv4=-uR?6c_K$bZk>)_bxo_u|S@BJ@_nojLPyo*@ z(xXyWy^$j*Wnj$1K{l|xJQ;?;`~>y(d~8uvlG0oYk)^H+r{1*MMny@?4?Cu;D5j(! z%cjYsDuh<&rn^DFhFs~p#t)JmH5JN2E1gaqCDP_Ph3_g0I_l1k$q$U~DS`oiJ-Ih` z<8?AAGd}6{N{GqUbr1#T8>-2{63Ng(YcIR7@S*%p1`*Z^Dil>(Eq9=Hb7k=Q`lCVo zz>5ME8Sa#T6~U?e$PfA;Z^HFKlxOy>54gQ9(NVws9^j&3>;>g?P*Rt#MP3jZb&pxO z9>uk+WZY!U^-{89kXo(xZu$@N<3TbA3_m~Yu%QTd-A;bMsYjAl+rpZ>&~g4A_8yiT z%RacoEv4+=NseQ~a0(Q_#x(v*?RWb?JaiukIROm=*?xZK4^Eu@s^6qyVe~cwTBQSa zet=0ogUP9Fr@H=$b;R$W63iCkchQmx=kpEnZNL#?Tw)copGN|Y{D$#U6ARvzRD8&e zl|!x?CP45qXBmy04U!iB6~>_l(#BlDp;LYryTrR1p15IF!oL?WtTh%3gZlbgMsbv| zue(3o%QkIm+8QRF#CY=3-xu@p0Bm^N?(DM`gR46L=G}X+a1<7f>42;Hc zZ8?MOtuX^FH+pjp-*(&hy5FXZ-$esXGJZQ*ZB}}f7p9l`@5G*W8m*XS*KIa6ZZ(wQvuFnVUIv`V<}47KEWA2f{Go*RIy6``~@i+m8o6SLYKg&UYx(XH;(>;&JAb;JUL zF^3Rl(AbDx(&b?bM^F?K)bV)vW?-#Or5|%)Nw}DP`qPpvl8R60GI1odDrtdmCeFsP zV&Fo{P>GNhM1GPLAt7)BOL&aN++p0glXL^YGGS8LBaTMxh5SyQGeBd5YCM2h|MeTk*{F{Y6Eterj?fGrgze4%$JopG8de)a=XyWbK zf-Ik)<_h>pF$lDm79Vf$-cVb>{&!;eM0NXm+WS7D9*<}2dvCGs>;%u|{}FX9;7srT z|984Mspy=N%2?;d5s`?w%uZKzkV-Y>mcB)DoomB5C8=bqquei*kT5NGb4lV`E?cg1 zo7>o2w-{#T^8YMz{?B=y^E^@;-+jNI_xt^Nzb?8rl*Lc-co^h0bU!BZSZ|yS=^;7f z%K=vwN?*eBK0Sk|U$spRqbfJd?p9njQeHl-JP+*vQr-U|*~I+l4l5BHv}Qmdtse%! z^VQ(J1T_3_;-i_T%q8D;NHpWdAT{@W&)$)FzBt;Sk_&DvAU!IXQ`@=CAnZQf;? zIkUv6d;&o$fTXFOjt;QIZ7nYo|Mq=&$(o~IUsqm?Wi&$s0r6oZ1ch)m52I!Ehz@o? z1ONzlsCRKXNI^ex)uZ*FVCOsHK$?@6j~}1%C+_urEOEZj1ZC7`hr+c;7a;72FtKrAlt1iWqF4oO zoPBj8tzOFoBz#{J(x9M?sc`&)G+}u2L*OSO_Ba&Zr}H4P`aj8r2O`QmV0NTD1n3GR z$e<)#HCGp;212Nl`=@ntu+}{A_>NQ9pgvw&_g+^G8$Oyxs%YsH@Th?FSwIW`P`i{M6 z&pGarHen0MVJyWMz3&=S^c0XXm9{LAzjQ3`o@RaO2&}*a z{C~T>ldM>28)v<@?Z;_Kr$ot`=`v@YzUM>D!9#D;tV7NZtgS{5T=ts&I$ECx%wN{* z9VQJe4hg27`;9B*0akHHGtO@PSmU`Rnq>_15SxVaT`b#Bt<^vRCz&z~g7!SX&)UY9 zlUM@$4@MwT`!?P8$nOFnh>wKr5#!AJb{oF|4ZlmXe`S7Y#kwNIt`i}Bt*U+O&3>d_ z8`S+okmLo}g1Q!`-YoBSd&1S&)3XP)YY$kMfew)09}8B>_JK1;hpim(KKva#=Q96v zU~B_QlS?{W>IJMcJ@ykbAB-eo29;e1DR7Neo(XByH+r^K%Qxpko{s~8M$mizbW*E+ z%Y9C4Vz1V~@dBNy@3h)dK+x0=t3#N|RE!e#`+`ntgmMMJXCB^DkBlnso0)ps|5guu z3B+EpV)w74HNE{I&zwfd9_Zl;=W&>E-2CWz5zfxN_1x|_A ztEAynNxy#HFgy%cj<2f36D4H!MbSzKy1_Ft(JDz>?-EGjC{HTx^vz`ls7uDWGQ@a2 z_MrcY4T3L}hPP~9qLsvaeNXn*lzD8e8UO(FFu#hs<%|vX4$(rn2}02aVAh3EuKWAg zrlkwDAaXfKZ~xoMG;H<%o-YA3zzLcaoLJ7bph`IUOftkxPPd{u-ytsl!#DaZP z`wgx*B$M@tlDVYC1!q`#B5k5CQ@MsQTApWcEaJG~8Z)7QN~ zj|6sXU-i?kUFs>nVgp}Aunu8>Q*&b@c7*D`6)UEUbVs>!EAD!%e4jMM=2FH$5-JMs zvHB)=ba3}VS{rNkYES$L>|Z!7>wpP$7=B!=ZY%CF1y@d@X~%h~OUSJMZ{s{{Rrm*C zpcdy9z2@f(YUpUo1M?Q?e%mV+Xg!IrB100is(!`Z;TAZ%XstFVT_4PYOum{YCsthv zmt!kXPDGFPt9_dRO`fB}faL`gdDuU7l@A4)(~KYi za9WP4zANKF+-6p?4-m+V?Rx^;XMpRZF8V$}5B$ptRJ8Sij{n)A-2{tM%yM(dYVU^- zFu@!hRn&g2w1bgZaLyE(p;2DW>4N!WHSh@dwX`r^j|Yb}ycdOU?u=G$fzoBA1tkd* zNzuXFgO+IBg52#3=pQ{@t=0yoEkwvtF#YPml82w{+cbf|NV2T}*^L02EU_B-`kXYm z`RK6HhE)OL>2C;yD;z+#wR9^sS)G9P&0xvsY5@lRI!*e8G1`hzb6ZIei155G821 zAGRfpG*HTls7pN!s+(A`0B^VPDk}l!BmU^oCa?oFP57H62|lWE=Q?T#@bT=X@dRkD zJkrS{$|G2!JU{?m>v!Atdzjqq)ZFa}K#}Wu3*C;DeO(cVe<}4d$Vr?|%1C78OeSwf z!r6Trz^SJNfL{h;7x2sgQ&?>TWI5>;9}hXFb<%6?Hdg`fNuUG}jDV%ZU#qzl4)s92 z9=qyzWK>U)z=~q~lohb1TE(b4KnCDP)LN`vyn1-ptQ0s=SMw_yyv)kWhXUT?;(<^i z4(UB>s_>S6p#={p1(zyZniF!6#O)*_d&^NO=_{cjR~mAxCc zxqTg?fuZQjopUEP9w_FkJrkKpcF0!_dGb;Vy1Sc?o5w5}&beRHm!z$nom@5|FgZ_G zx389A&h^aGkeazZDg~CSwCKVMSgGCacA+$~!wKC8I%-EDK60x>n4f zSu-=B}CJ0*zR5I&2d}Ab`AZ0PSRq)<^jp58{N(iM^ znonY&{q?=MhHW*#7Ar2frqihuB-2qY1w7sYP$){ik8f0y@jLrp{D|l3O4}5I^FJtu z*G!$rk$y>a&+>HbL83V`~_&EPd{ zzAn`2SiOe929mH-v4Ve)FDD^w04IF5ZM=|H4W8B*#4fJ@_}-4T=9`kj0Cx3Qf}{Dn zFT1t@?<#7hNapD3#v=WrR^Kv(;!P=@Bb~E4J`LaPKFN`+w!Z?Orze&_BDSPJmW^sN zZS`4CF32Fpt_J(Bu%|U5sY&)&Vk==IL4z8&;AoiR0wQ`W@cw$fJj zW%VQpgjj7SUQFJv6O(!Giy58RkmSrtek%Y?7KLr?35EZIfj7Q;AO0v<@~gq0?TyLq zSAlg%#nG?gosGm<8Lv;id^khh2r}|?y+$nYl5P~I@f8Cf(l9z@x@VieIDCF}(2|*3 z+n(JS5l41?D3|(qW_|@lF7%%Ejo~fCCqgf0Uq?hjFK6QJic4fG@Jsn0TspKFBvvbi zRbdsC$9wA4T7&fZ=U0ZUjK6gdel@r-8N6MLmTeWoqd?J&B}oFBEfb)MRXaEZuz^q) z>^uIoA&TgveH^A#1nz742vK{G+kyR$7qIW012ibBHvtU{r~N=GQjq&ZZU1$pTwgh{ zDEcOGTh4dz7QijH(7FPDXRlExt8a_(I(VH}k=6_BoLH6rnQFPM!E2hZO$kL}%Xk@R z&_v@Qg#@5f8Ft7Cz5DMt7&dJ9(r&;mVuAlglFt`qf9In|O17St)*K>ryxsJ7^Zi>+ zl0br>#1G<7sZxD&OPvf)NhZKmxndoN?_C9T-sr+34){=}ld=}q(I4&ahMY8?)ZY}6xC$6C_MMVeQE?5Sw4~V?0 zEnD-7oF8OmS5^A(^Q>QSfW#PUX(dn z?sIwk+tiybAWZ;lUGFvN>;S-`N(OF>J@HqEhd#V{b$6GdvqT$Tuhsc&{K>@lTSWb0 zU*m+lQX~7en)lwo!~V&y3N2W#5NaK%djDcT3+X%)yW4Se{^g)% z{`I@pzC+SF!`VB8kJG zAi6Co4ASXKQxjz$wMrsFO-^g@lAmPz0jDmqEnffR>5ZDEMs^g$4(&6FU5j!#z}@_} zD{`25QLf5&DlcFM1Y~NEarVlv|AIj6S{#te61Q(BozL;knHm z`7}sJxs*|cEN}l8ECJMD>p8zcM@D%($N~>Nh^SYmhQvN`J8hY;@Oi)68AttS#-!o3 zTT^F}L`U9W#*JxHro%(AOT?ijXgW{?v+VKj5qbJA*Tqo>#?-7Zn$!5OuLO{X$%ov4 z{2UM)+7iHH4gkMFu@%eyTv~^bzdcAQ*Yj_YhaY2vj_#g4`H*L^o85~IFb z{Z~Lm1Qhl>0gz{TW^aVMDolX^L|CE9>sXKS;@(N8ldRoI--qcGVAKcfIY%g^h*b4o zU(FkuM9%I`D*LGj=ZJ|K*Lw5~QKnY3UDRXcrZ0g?JPwM53~@CyoPd1>gd0fqZFh3d zMnT7hYxf3t?2uSi01Nt68~4nTb7%_c-Kq#;d&>Byw>1 zZ&uZR;8<9NPcoDwBD~#bSV52YM`f5SGPd=B-_6Imy;*td63WfrF2KrCz?{$_8rF1(c%ANc#mh^qQm!%;XX( zS}pKX>*daQYiF!Ya;JYI`JSefbEiOP-y;ZO#(_xlM+g2kz5KH?&?4yve9avuIlO>> zWkBZQK?2D8B_!lmK!LgzIS7oq|IP2v{->}h4l)mHmPng?+gblntAOLX4JxKdQj~E*;)k|!7GFE;w?^Dm^OSc)Su9s zabDgf8uX|eAR>c^+yWp zoZwqul)Wb#Y04GsWqC7}QkG2rAl~@HrQ5*w)Kz_UJhmg;=T^p#h!dv4lSAS~8wWIaMXlh#tAUMM{x#FnAfTIauWveaQRc@zR zVL%G@O<+p+sx7(0A<*nveG1UrMo51FTutwhl)zweBJ|A50q<9>$=Fy0803~o(%{5- zj%!v~>k$d3NVClKAdm?pj#p!2!KxZ?H-Ljn*m9B-V0P#_p>_QL&j-xm;!0?Q0=ZWt zHF;A&>+}Xzw9mUV@@^`d&uqwE(c{o;xLb ziw<9;BJU-J{4s$ifMAd>stL+wog-E=~~c3ANqP;HXGSb>RO z2-%9_8`_X8vA2>Wa<_2;RclTP`>3T+u}&NZa%^NR{`X~^a0^HJi%_j8@WJUlt z=E2$BlfMmW#~+W+5i0;|+kuEl7aNl8#@qcp3@d6?ssiLF-+73ioh8h3SIm!$q|BH4 zlH>zfUh@?%i6X7*dWlv1-1J?g1bJ~z_-eqro*}xuz<#e6G}YhHLkLSRhd}n0_}Q$- zq6{>pbNxILLCy}y4x#ju2GFtq0i6E3ZFu+OpIa-&4(_1}C1>|p&~~jJS|Cmsq}3Rd z_8MSM*w?iB z@Djz*MK6lZ5)DFKTJ?nm>~)C`j812<_1~lH1?BP6D%8GjvX%P(@Ih>hpqV(ys^?Nk zoZ$}l>oZJVg>56Cz+YR5zAVF=rL6%A0LxL^@NzAbDu4l*L|mz`M&>~JfayCB>vOua z;%2nas{tqiVJnd|)OUCfHTTO`5U_xX)+pNA?MXW^BjzChvEmhMCVQQfQxh<8@7c{( zx(8S->{tUwfoN=hGQiST^QX=Mcy`SvP7;iV3+7A>BgfUkPh84rKUSBs-5RYs7nmGG zxaTHEhdR6;QO78t zZh422l`;Y-_@i|~cq=UNDUM+JTNbG#O^jWf+HuGTZq~*W*c8USkQmZgI@wqC96ra8 zHZqlOX9QFpmAKDEa@FR!@z<*ZD~rpR#~?Hi)=NAtl(=c;ui@r2w@Pp64_GmwF3v{X zmk?GKV3ijI%q ze79!J7;fJqx?))SRgxRFi6yaT$noRtPQhFfaQi6vE76-S);3+wvwXhy03#VX?ZZdA zn>xAlXdc*wu5H8q2+|8zz!_bIy$Nd#xy9dyDwIwE47O*t)_#wVxBEL97R=0RC@;lH z#~nL9o+C9zu4NA!fWoV(Nk&9vu5ZV?e_JQE?Ru}2dPL1zGu&*W*pCl{%8P@QueCw9 zzh_@m1MB!{kYvty?T+~|O6B!VdAB6@HFFu?Dy8;`Xu0*;`{6-NWE zUZN*B*IyPRFlIThgfn#kgtFD1QmatAsvlis7SV0^_LLj?Qg8QAARx-$8KMF#4*m@TPm*E&kCY{Pwtehvyx>AxSzTbPF@yE0}Y7HSQ}(l0)Gn`}?Zd$O6^n-vUI%jBIz9 z0r1mW9dTPExe~zfVO6Ph0MMG$^`a$N7M3K%=#CAxRLZUytA}ed?M2|Rs5U>%jI~kk z{HP>2Gz!wdV?8V$d~tZ%)*0||`0J6JzO*L8qO`(l4eteMNg~Y|;*HQA<-X5bK%(pg zaH~h*4pT>LrxZS!*i0jTP$4@moVpv_nY zD!)Hp+$LEH_s@f}u(6SnzSJz<%3Ycvt)K)#d}>H>+Ix@Zk=>r-HcF=h}dx2m-O$#ufv4 z^^G?^s9ur4CkKHRZXK%qIB6RJL??k8PYC5}P~SL=Iz@qLFK)0-ixSW~c+nOFDr;K08gnpbxEbRd$${@*Gd2`Ml#@Zlq6IHZPfPH#)7B= z#4cO?lgraM-}R{=k6URmWYQKNwByF|Ngv#aUHV-*nU*JJGS)r%N`3UVs$knjqjMRf z`HH8b{!Pt)F&KIKmj`uY(vQaPkl)y4pz4f*s%&7M~ z`$%Xz@BWmQtIY4i;GvPbG`ji5BikQX&|CW>lhThM@qh18XD$}S`FB~^Gk12SchfBy zO$r5SR}FfTLvvHSAYV0IM8@0h{5oSl#iEyGeY`(*!ZIYJC3<0k4V8nxm7~(?uBg*? zi27^WqS05zy)0sHCQ1VpyqHPV^-rII!l$(gNZlM3w=(JM%*~OPZ>Y;7_V-f`>c?Ap z`SXaH$)RT9X`GRqm2A~=)p$`|6G`cI|HeOw%zCMSQX9dUeE2Iemls%P{WCGp%fp}Q z+SroLdCj2-=9p(!i1%1!zmb>HZ&r`z6YW%p-T{k6F9I8XYvTG7-Y-34U>=lK1`g5l z0wzw}hx|vm*pqX8P$2cLkjt0ji^@+4J6@s+4M9t(^#-H+*2Ds5hI5rdL=}=8ght|v zqcVVMncsb}Cvp%)WL;R0+X+7-CH(_Yr*Kunwq)R7rMMH`2@`867lS4=Do2Y#1A||q z(oudo#B+QKXVg7~>2o{H89`0A>uj_4bI#}d6QyZgId|_S-6c72k>}CS+~1KmFcT9~ zF?CoM5g5GpO0Zd_iVh(iuaf+JJP{5ivXQ-nl`)t4R5BER@me|NA6H9pDdKfiRb}o8 zhq6TRe6ABR?pOYfBPv5WFbR;{6E;}SKHEfwi=zLY~7;kZL| zofco|I~viJlhRc7kyAo^oIA+a%o)WlwVr4-rX8Zbf(gHQh1gc0Ay2cVvWbtB-inY% zkc(#n!p3t7?-cAPDuE6zNwdEM4`@mynN31Rm+*dV4qDbB6FSCc+BD5sFs&adN8KO2 zoiWG?;!PN5JxXsf_~j8~-5=Wp)AH3Oh)}FXv@ItTwGDpF{>xE;=n#~6V8Q*W%xl~E z*umH?xijsNC&E}hzE)n`9Kx^u5h``rmpxk)pAyd^Oc&1I8vzKY5lD3Yc=JW9;3dlMM`BVP++gA@Kp)gTD(o0QIl9~B2dvOY zdAs0N@@FuFu_1bG9g|mn&ikj^FHYaVI%+J#d;Heqm*f_UlANd-JzX*X;?$Dd&@2AuYx2!8DSre@St1n zOp>O#i2n^x1Cz4;+ADr_p`I)AeA^Ab{Cz9$^8~>Ky>qB`!x#oR2;8+E)OGSizFNDY z>k|Dv0KojG%gPkmHBZ{9JX2ke>%0qPeA9}g-Y5zVvlPba5L<>>WlZnoDpH(7ps^pR z6=n-mX4i8zRv8!z=J!s;0W4}^@s~*BBLS{=11wEsyinK&T^|Kc3 zG=mRbt>5(s3a1a>uv_d#%I6{y3RdqDOXKue@RW3hL#magLey`b6ZpWMcgak{8;ZnC z+ozXNCu`tjWI$gRv=a5%GaD-(F$nI-c4W5{%&oAlZ6p|rJSV!MTL!-U-IWrfD!!9! zQI52n1I#jLV~tjg)=voSdU9oHf9-7HFvRX2e?*=2I)|`C2i(G5KS)$X8fN7_{Qio24?U5_Y zS*9=t-QNttXL3^MbHPu{7!D50`0mCgij6SlH%I&LAxmDrcfu!Ar)l*S2&&SuFDB^s%* z=26ej{KD^eS~)k__R}7ucD-MYt#{+(SAD&!#t%A6&8g$qgGIZNZu5TX-p1@11hQqnH zJhT1nc6>GsEmq(UxiLA1u-!6n<`}biQv1d$j0|C}x6h1)TKW7EmY=k8DzP2dKi)&>1e*y_+MW%r zUI)4whf$m0*FseHpq$y{ry~~67*|Qu8w$vlGM!fe#0p;}SyItgOWx=DR zG0Rii!Sey?l@P^y_e;jSMtS^T$FGR$v5`^4slZkwRc0a~kcN@@ixU^H%Yv)(iZ}Cy z)8 z&Z42~%qdo)`2kT07HJWftojDySML8sZ=!*$%9-x6_1JNrmB?6bNyF8B&FAlHH7?Xc zX1rH3S{a++jC#0z=?Jn*U%+!WZyXN!qNoDivZLTywR2I%gwz)SjhpxO=9RmB7Yx)J zM3%dHJMks%h`=5Yb2mX(*$!**=dDF_pOQoA?v{~Ik8i^3LH7o2JTfx2eH(Qdx9k={ zG$@-M%@@VTs+q(r2DzGyaU2F&cc)~Z3CO|5SDu7)b_P~n;h_+QjpWaomjnBbO=vuV zz^(c-sO+l5sDaox!R;2{wePu==)4#^h}r=P5-M*-H)jyqo_p0ep31uu_w*SmdRp25 z*I+Y0GC!8Av>E0OFg1&>S>K|5ByfK9b2&!nLTy@*YnVI`e!*1)TrKInhmUCxUjCJ; z@|uW!9iP?D6$+cN%QLUQx4K3O-_t^0B^Qy4tGrkAK$~OZ<56Q8M*17&7_T|v-KD~C zp3$|nPT(#tM7+95x*YOovGDwDdjZnWVXQ*%N@$yMdur?Qmg)sL@((1VVD3Cul?CGo z99Ml8k=ZsP)gI-MDq>u0O4P?*oah!^%ZEek6qn*wvTxElE#%mV?|+Jya_F7(GN-r5 zgwC0A&KMJ{iid5%@i9KLV%xq_hIJ#ij#0Cgs4j@m(<)AAgn16A%w9;jcdH z%%3eY)YCQL8))Q;g3cUkCDfg>@DGrq!I_>De*Qu447%FpP-n0fKgtue8_Dk?2wPh) zG^E}eQDS7|S?a6)`Kb(US5IfY?bAu$gaBX4pTtRLWGWlVo1^pwJEu-TsSED!%5+A9 zlDo)fS!ZauViM@V{-dFw6XCNoD<84_!a{{!`H|)AbQGRa;X5wNM^@-AD zd=j0js@LpfyRvfN5nJG4;P4l>v6SV05;w8nFf>d$A=}p9LFno@$5JZ!eXO(B;C9mZ zUR9Z`pbU96-G3Nia?^97BzKX)I1|6e*Wz-SixX}g%>6JNBNeal1RTxj+?JC8_s59H zj0kAEKff$5&#UjbiYaOnPVY3&cq8%jC=yh-AXgRR_AG_*3kXXQ%Fr`$G{|f(oR6Vj zL2&#^{6|G}ZhIsvIYp7Pg*>qzl$o!Eq1~ljdMR+vQxOBrxpacbF{%k+pzPn1+NL1? zm3kL<+XdTv_#Djin`@<~lC`ugc2{P*wC260zpJ8?o{y<{X*>=pbNv=}ez9YzdLvv> zs-oGo6sd2+FQP-$TCT~?bkc$!2IZ3I0Gb}J&lTDlWq-OMI2*W&m1T_ZQ+Vf8gWg-B zVmNo!dYlpbD2dcYFz-xPNO+t3atcEb$ZainMpAUd#!k}ti=1(j(n z{ydeDhJU1Rb|OsqW528w{xD}m79aoSzcSmg3qHx2{^&zVq`@!TEz!A~M>hWeuKm2* zXm?AXeljVieX91beb>#N1J>irtFv%&(s;_1xq-8Azf~^5Y*N~3Fm^8VECRGYnJFUJ3`Gd11(5verJIb+>$ zR?ng(d19tl9UO4aNSWYuLCK+5&UcKIrI#fKuHc$HAh!spm5{y@uJzo?KKzvIU$0}F zE-Y&pf>Kd)L5p6zytnM`U9jIURM6{~J`g*0?VJd;!xOane*1|`l><|cLt0Bvv;$23 zOnSJCQ667PJw@>8Qe8@R%<186}ztK z4-B&V=^)C~Q+?EA{F9dVir|2UAol6cFgdVy#CKeR+uBp7Bx)Y!zQ?@8#8%3I!aQhOJT{8?v7y45c%aQG)4ddi(Wr8Ro{#M=Npx@@_} zBxU8aYfwW^$i%%&QLm{2oNST4)UnulZ4h;dF6H2Uz+kHPx59)uer$bku0h9uZT&d2 zhvCj!?4&I@vpU*%cauLS@g}J+mlbbecYo5dG{k+~F?{%( z<1nvRuFv(EXQGG|U$=*otK9&Tp_Kv5BvIvQ8&xa8Cc@8K|7W5%GU+h8x_~jB9K}`o zh`9WX=l=wZ%JJZ<-le;0g?s3x>oN4hbIA%TMhjPUG&vuugP92`qt~?5V$>5#*cZ(! z^PPC{zr<9W-8UQhPk`P*`USMq&*>o(_|k4CJw>}XT_V~-qw64U>PG;hSnlF=T@Lco zajI{Vb$zpEr*B)kCfcuu+LWk`Ma*A2TmJub_#-8-SF1dlr}h<~60;eR1Ezs#LlE8K zSUqV}aPI>kh9(f$?kdET%w|AQE z8Xse8CYD=;vbY#u4Gf_My%)hLrwlxd3Xc41mc+-(PNKb<9)a;T#QU;0e=I7K@c2*7 zBvvqM@h7!2k!%b6!WIUazl{}p`CBi!LKIx22;4|19Gd2eV%PlUoK%&^P(eyY3~9Ct zF2+sNiRzQ@SO$j;T1|4&nlXM!T{ho786tN6H?IFgqV8#{*&k~(J6!uQ2jDH>7K?A6JD{X} z)%(i|YBP+#)3+&?Zto1pX14bU>k2r*X;nCGwa3a-x*(F17RTPQ zkU00nx3Gr72~lzHGn%|njp7O~S9a&RqBNi-qw`Y`J;9hE#c$wTKCo=$@4M}wK zJ3;s02EQ4|{=2&a9y18Y7~K60SJ(x=8I)_K*Pjtr%cT9FJ;>J6GzZ6LqPbs~9YWsB zpcp@P$3R>etmzm37jQH=ski4?aA(}C@65k;|Es~BoTAur4xcjy{NU{v-7J+2Gt5&p zq`c>#>rh21RIN=Ze-bw{z>IHQ51ZA)PId;t8aRa0xQ$(`d-gd**6h93CH$@bK&R80 z5gW%yIq%hae#4+b2EyBjEXW4sC~1OSBfv$!JqZb%A(P0!p`S-=?64V4B)Otz2}JDB zBvkn9fLgvA=G1-!t6lXqN>|UmOLYkkPW3;D-7qfrNO&Y2At(fQZ09UizNfgi&~IZ6 zrQ9>|7I|HgA!toEAiBdy+KTW=fD+2V$s{{th($hFL#g&mR1M1Z*U%gW7sHSRpgA9! z`5}bBh|QI!FWx-f&O%i-2hyTTEVY%y*k~B*LMf%QPK-i+#HDx1=?50BaMJdyyaw;5 z)#jfXD0uMSfv|kc#alpZQT&>iigN*MV<-OJq2rks0xfduk~ewUodfiybF@M#3A( zr~H#u^Bk+p{f`@5p}|*!?cNIa1#sd9KT_tEjG*rWy{0DKU{c$511z=S?UF( zq({&T%Tp}(>!5p@K9A@&eJ^GnnSj#jXd_*5`+>bm1e`8$sq%d}{BOY)57s;4e zBK>aRQF1P3X{K0qOc8{^&UZf>K?+{M!5fo4NK7>qtuau!aQM{YCOT(o+*XVLfDYy}VqQI%j1rSTV~h0~Q84xJ zMIa5g!6l5tIu?QK-ycDtDB5^&8JDlWZI2TcfYYP27+N71^d_bMf!It9#*ESA!AFpR z3bP5Nn`J*x5r~_a>f;}tlBQ?%`6%e|e~b(c3v6ybR-svXvBhaD_-1#Nn=L<;TwY#T zac!CjikWYp=nGlO6d=qgrC!a!j1y-;gOv#uY0(9$9Ab%k>BN{qI3ZmDCc9X0TfJ9? zOGRmIOZxzaaJhp&RbNhj8?V`6=rK2cW9s53@Y}T#x=zv0Zia>Bc8ga(L?0+@+2JKB z^~hcE|6>@sg>=$Ewv?37K4|f84ijY0gghU#Qb7i`pDcRrtF-fmZpp4mw%6+bJu9UR z9dgMb7O`z#XUm`QkMx-2>bnjQ+Rm}5bZi4p@as;PJG>rkOAa&%W!-h=h$_n+^mfAJ zFRA1b|7MvgnLQPbeg8)NfuNF-JsA(^^!v3W-0YH5MDU5Kd8xWUEQVKX5YW0HJ|QB( z_5`3_UuTvq5tazUJ@7$ezZK6aN-pe7g7%!aummRU zz;@6{fD<>>K>f`a(@WNkc}~=Bvl%WS(f0BOy2dTXY7fx~o_$FJr_W(8X9Rn=@6{MU zh1@3PDH#UEIUq9XIEu5jE!iP66Tc30k1>8pbg7Q!WZ9b$G3zOxs1Je`ZIBh zvSN?X>|aUuAi+PWhLN95`%#h}Oumu1y@cB(t9#tmiRo#>&-c{feN%kyt-S3)fN_BE zaU}KQIYB-?T!Y|y`dM6ss0xzp-96dV`fj+abLBC6);MeM5#HY zU^vU9=wzT7ron%*>&AIwI`cNR`f)1y90O?|QnNyMc@M${*JlY=j1PCQWbK0k>YwiT z9T8|8HwW=8BMzfz=;0J=`m#r=4uO zefq7x#N}x3OVdjxOf2)Z$z-8wQx7)dqmIGpD0%CNK$4Q%O~ZNdm+T@+O29vljl&%UBN$A2Sw=7x_^6g|2J6;WBC zZB67t4rn6A%#6Wu;D>2&?N_EdWj@`zrK*)iWDlmDPtHzX%lsVi{k zmE6|_>9---vhXOFz3lo%*@kvwkv4F5!6GL`GkEaV>!25z#`QKaCMSYIlJ7xhRW^8L z(>QkwesT2ceG9WaV&-GZnG8Fv1AK5&-sil8^Xrm( z4em|o5zFj@RzD>8#+A3BxE%!H9*)>I0GXvTNJiFu7vsHIcAjj#f`);+N#AIl5qB9V z_cH;dD94I&ax$k10-gkN_3ZE@`dFvMSQ!Zf8^Xr-9DFA^*p;e7F$V44z) z09(HIitwfJrtu`rNNHHu+ex@2XWjz-lJAUP6|Qg^$0fP!cS@|J=?1wL_HJt^X{v`C z${BrptERV)2UxB(;0I-wX!tKFE#5&9+kz(C4MY?tl1;*t-$wGhR$F9&6j8g)IDNr= zr?|6g_S=}`^axbCq+0peKRdDmjem4k^l)tY4YM?x$WpJ?`W$+&@|k^LYnaDPPxVf| zGH&ab?&MvTyL`5qzVp1+XU~a>{+MtBi`;{cS&O*PQhH|xShcc)T=l3Q$>PmwV7r?m zNM+t{t1fOP&on!X3hDGq!3VQyyb#n)?n|>vD#Vv4nioiSxI2i7!kN{PPw8n+3TJK$ zND3BVgT9+UD!mlz4mTo9qg zEoL>ix4};q6$;%m#||m%K~hcqD-XS2QK|z+l3Nvg3lSRZoY4tB0tI=Zp~dg*mH>qtn+D(#f=Nc?^EgR+Yc6WWB%H?ImRr*VwWg9OV3+E4Hkl7L*@pv41fP zd8u0ozJ*@6fNIaOzw>u^*iPhn#a&c3-?OdBsgz*GlIwIvYLhApR?K4RaVUVbfKSBR z{S+$}|K5JS{)kFKtyZ4bm-lflc4>3C`!q%E?i8t(9e;-b_ZkxzE120=q}DnMzc}+? z5T(5cwk%(7Z`@pNP95lY)0=K*o9%;J8;(?oir26m8^LT(O0wfAj~1OpbgzSjMF$MV zzSU)9+8z;h>?B%_-tLYhO*T8lYY@{6Vs`$AIiE(&A%d2kDP&ovnlXRjXbLbt-Dp=Y z9wnYK*@o2KB7QYvq*1^2=W@B_c&zrLuLYyJ>=!J70jP7hX!L?#SC@(d@-N&gJP zU2uS}bemsJzdR>hL>)7W+%%ICcnSUpj~5uE$iwup5cZanoY_Z z&YskMIqTk#p2K05fc&MUgVc``i3w)a6b=vT#uYYQ8Jg2FBPj_IeRhKg#LX|+EO6QD zVZQ|L)a0zcCc%tiCSi z&J||41?DA_Cf$)y&8hy<0Fb*Q1^Uh87ErZ}Po~*B=poh<093UTzSQ60TK16~w1XsVaPva8c)?j znD|ONm)-4>TZh#4Czr0I&iY2v6`|FpF65)>{isSt1afP~`#+#b=^k(Q zKal{B>U2kTr(tsYr!}x3e?(?8z(>E2V5f0r{C!rQ;D2!sS!TmfkM}5 z<(+XT@}*bK30<_$4;Ei-u4=TDZT$tNaKd|w<~mkhyCXPC6v18L3gRTVs;Des2Y=|* zwjJ`M7eb>17TCk3n^l39l7OP+TKT`5#niv>O#p|wF+$DcH@{inzt%@?N32)$$n%zqwdG=KV?ustn`$>y zQM}Jutfunp32yjbdE2UR%f&~S99P%ZzB8a>zDqjI+P%wPdoPAoKAgs&b$j2r2Qdm0 zWx}!P_8}9%Thg0e2_M5fwvt!tp57NngBw^LlbDv_y1j^QrZFIF#a#{o4V2J|xVCxv zfHP3f9CR0|oGI(54AkEVk1pUd$8;S^DIe(Gf0rjv7t{M>xWaRKM6`dfkoUFLVk^V# zuF-=4?(PTJgOauHUPNGT(BLvZX8v$cgIV8FKSj#J>>)&lH3i05w<<>Q>B%PquFE`v z_6wAsn_H=9T=UTjZ}@-2xG*HfzxfZWskhwO#yc~MI{AyS!4}8kMo7m}$^}Kw`0*25 z&J6>kA(Ory1z;nvS?1%(UNi0Q32f7fN&#h#&46&O`30?&*zwqH---RcYgD{Oly9Ia#YGG<5i93#@FJ4 z87g*0p)2bivC8-%n=P)~COwn-VfJQ2W5gw1pAgrDIwObCwN|;{xj1j>@5Y_jE$SeQ z)twgE%In`J&9-AlYH)>}at&x|`U>Lqt~&U9Pd7L@wGBPmAb!zrMQVR70hDJfD0%Pq zvAp2SkF7|_{tds8{e_Dy*io zOh~_Axyd7<*ib9#q#Wi9w(=-b(|mvMR`9(+xRVHFbjcOZcW|dzuAq78fY0QCk5mf^AwQPo)deE zXBmPNlrkVI2~l~I(iwcM?A}N~uK>_>7QeZZ9B~5Ys)^9%a2QD_zEZak-vF5`cNJkx zhGyY6xNNS}IfmPz8#@v<=@~sfkdjdZHZ{oZZE!>X#;oYbB_o%~M?S)}0l-Aq;Rt3` z(eBpGqe<((NOonTY*raJ5Yst()wvbz20Co}w!z&aO)c{{$C2BH&q;ZW#+wYn{HnDw zOQ5k}=SPrJe+M@xG1G6O_dqHuD==KvW3>u;9BnlxAniJ1+V>U`re{lgh<82ak?Z%@}=ADVl#UYN-GlrdSs@dsZW!)zn++jG$G zrgP;_cvt6wMFu?El-$?5RQ1JwCHXyA3m65#6+EKF9{=@A`y?F1tW9g6{ou{s&x-PP z9f9~(32(08By1=M3wdT!^hvIf;CpMPK&9xk?@Z=&vxF|C`;5dV8gbPugo1PI%$Q}i z0eas6Dwj1~O6Ta@9Ai$G+P=%5ub2K}>}NaOjhxmcM|=MNU`=LLxJXH5oFpyxrNSB` zg1|1YN?0M(ccUH8Vn|(Z;UJXJ0s6|tJV+6p?*xOm`R@}=OW zUd%BB?4#k~*bl07ftu%_)q8DKqP8^rZULfK_UZ?o`?hyzRy3yN!6H?Cwq?y4zYR*W32k_=qBrWtOLAWXQl2OjN%l4zqkXf1O7-DT~*F z2nky$89WOeHc4k`iWx&2Oe`|yaM3lS$@`F%G5r=`zm0n_cvZ+3C`Vm4G>;b9xF-Vo zD*MVm*?B+s<|^eS8Z3qi_~Gc#l}VIwZ5l6H1N48Z9SUH>yvcpx7p5(q)^8y*LZS3w zmbRuMMqZzY#^mw@J((_UjFj+h^4Bbu8vxdyTVM{3n92iAX?)g`TijSXL}-8>J1i@j z#JycHps(kbAiECicEEN!p79L4kCePkP;Xqy5inS-_Wo%>X0yyUwof;FuV4$yIdlBK zQk+ZYw6eu)S4mSjQVVuolpX2ZK+PLHk;1vsLHBYSut;)sV3X+~%=ZC$T`A$|6(7s{ z8$52sRr_+%+NPurBNZA=6WVhBhuQ>gpLrDTU%ZsO(G?d3V_GYK-$eXVu-Y^cKON!G zrxZPFpdNQ${K@-~sHgdx-w@1vWPaa|;9Mxb&3u;S(O`gZ%1Q~h?u%rnX|IR5rIT4={nelyBq99`>h&b{QnVkRsmIQZ5LK4>5`C;l5VL@cS(2W zCZs{SrMo4iq@}yNw$csKY^1vz{>3?-@4xfHo6TBt&hd`%jJYWEJ+E>H<^R&BfHCer z*rMw_0pYD&$DguMUeas@jeNuN*kztY8(Y;ZQ%SJ^!FvI(d9~d^H^gQT;v~jh z-b;XGWYu3&ZRy?>Pyr^j=Nx(t8{$%iO&$cUdt@!j)z}-~TJahbZ}57;3kP?DMg%Q4 zM@k-922Q-v&pwUg@h;nun`z9c*w81LFYIlBHp^uue<%q0`)M!F-Xfk2>B~ksy0AODNgohQ!vhNAaA3AWeIS% zf4td^wYe64>4iCt=fwX1ckVi;j*0 z^e`_BM46AX=Nca`dNKouha(Frepvv@{h1W_%<~+hesBrW+ugnxVXNbfX3K~H)F8jB z%~@ufIrax4wj%{CH}kCxi!%rPLh58MHXfmMTMOv_#JZI|%5_T9(_K=7=TIdoiFt%K zux+LLh|>`#rTZoy@I!0xtk<`G>}@-)xUa`P5zk6;kp#FG94g81mRdb(Fq-XRsbw75Zd5J^JmH4Ro(pPn;`nRINt?% z^a3*@qGz^H{UL5Psq2M2bHnGriehJT>nb({3pTWQTdP7A01;=nvNK(g?IlZc8p5(fLFcKc+Ob zZN!G#__9U*Pg@%il{i=J2ZKBR2X;wA7S2XS2D~*gt$DIS2q7%QxFvV_JBzHIs{jLt zpZLi7S6x`!k*xPuE#D&HM=upx54P;jX*jLVmCAot1C0Q?)#^9S+K(U?#zyGij*eXb zz?uHb0uo%@dv=!wmmdK}fETyVlVdxsO89~^3W{IQfVdmD80E?_1Ol#5Mj4c0qxZckzcvHc8s5Wfw3TFyg6{BvqS@rS z?UJwHWliTO96;mXM*~NIhtH13$wPiJK&r^^+?oIDvEgORny^Ms17QcC4d<4h2aD;2 z+Vxhdnp;S=0l^jU50KekI9TSH@rEB|?wGvJc?b9HI{A9ihAnk=?mM&%|-laBOniO@qJhBv$H5^9(7}X zaM8TSc^2JnYrb`NRyj>lvPaLiqPoQIF{n)wZ3OV9R}sm}=|{<@6NiqO&F0n{mJ2p`Gc2M?N;O(+g2nA*&66* zY*oBM_bfYbJ)Ocpz+7_+n9%=68T2~Dj74e8J|1L^XL2>|)<5#GrMdobFmNB}h-rqj zUlz(-Ju%Kd{N8HtP#=lfbk^0sx=9cIv`nIn_edo0DjeKUad&y^t0B=c+ISi59n+e> zGrGqO4Q$3Ph+-jfg}K0K+y`@zY^~I97xmC*NpK3H10t-7yX93c{bwp5^ocBE2Ppl2 zC$X8+Yu24s_B#3^@BKfm>=s0m?N39!tg=sYmPBk3bfeyegICY6XiZv7jT#rH3NS?6 zY3$i-dhtCDlQ|01T93#zdl#q!i>3X^1*xM|0N5&_IP&8aUv?0iP9LkySHBuKpH=;C zLdv^)Jc}0eT9|wYHXYK{ud`+7thy^EJSti;6BMW~2C5qSNW}(5%tXBT@<0Fb-%0km z_HG^1C9_Mm0CYK%C3yf;c$l``=Z26y_#}o#9np=V8LqE*qqo*ugF|NJy{!0v9>iId z=a_;{j4z%+21Z$hJ$&@i3jgVr7XKv=&}R@BK_e>J+Xf7@)M1$gy_Mk~ppltJzA^Of z#irfIn3-A3hL|7Gz>VWTuLSaAGa7)|iFjW^impLVu(L%t3l-U*5f&m|IlPE@$VVc! zNmoI){VqZ_T*zTUl3Tx^C5gby0(!is?*+7Z^s_7^Mro(NSwWB6qGOMIVY}bI6}4zV zHVB;3{_S_W?`T2rg?xeefg{o^stx3cfvxJ%qUF6Flvy#4K~!0x-4edx%^NzngX zXb90GTl1R-yehQ*Dm?)9{G|{QQ-Amqm>)=l_*x@%H zT>JreV4@patp6Io5zyxX(t@u3vq9+6TLo-ZO3$e#kO%v`dyY2KLGTX~&-l2*(4w{z zv`x}_bnY3uZ&4y@$Vvu+-Q*bIR`N+8OgLl2TRMF(VCPwO+4@Huxh2Ls&x4g2x{ z^YUS(p>+ui&q~x%f$uYOSLmxi1o>T{QsnBBx%5o0ep?6h2k$`Xt_L0!*P{2=-R1NWNlfZ2_~OG;s1bK(7hhVRLWh^fM1^rkm`LsuKRa~ZqL63 zs6~N#k!lxc{G+^VR?f;*jJ9T~F z`iWbw@fC%83yIo=@&iu;feAYTNE6$g?qcQo+rjG;CxI9s;dKk*zX8Y$;0@|_7%9pP zN7r#9f5t@1?Dubcj^=>t8kGfH=DaMF&(2bsMMn${eaZhL4}%@{c?zy5t^}QuO}&N~ z-0U<~ygOuo?v{;q6c|7`-(L6ZrvY-z(HaJoo6>k<~C&jlp^=CYTRe%Z_g-hVwC=`CjJ_Ox&B|X1>d2Ce5sx4 z`JI^(;EefebI$ye4HG=8cfjhN8sE|=<(<3DGNs*0?cN7}S@)-CU}|%?FI2i3w?fl# z%ff|7w)H)DAMCK@94`8&qvalN2%pN#EMH-?AOn-A%q~vo70lJusGA2*f-uLwHE#4M0kmY(769)fixyo@udg7#ezj z=5uY`0cQX#Wa*txcF(W4N33Z63ZF@v#UTnO$kI8WqlN;1eGBFb^wP(6+}MuKiaAL6 zz`SH5JTi!9`zQ`PsZ*Oewk>A>NGxYF$W&>v1bFrv9j>RnKjY(vTp5qu`6TF3o52Px zo0ri$d&b<;qrAJ*9Sp5r8`_f~^{WS!ySY?=c$^Cr^)aOZoX=c9Mm$qJME^}8|F97{ z>-c~k3#lhwoJr&Z{+9~Tq`Mr@e)>@H>+rHlAE+w*Tj`kttifkRIsXa>6QUEl_C>b8tr; z1vVtv`U?WugsiJN;@F=#G&|a!_s0k?QT@0D^CZt|dC3CSVAu0IH_GP!pKAcr-%^7z zsLOWU7=iJJYeaB?!-De-Agq&ALGZv>Sw)}z&)x`(3i30C8_Op@IWk4kK= z`WGQe1Vk+e549K9t|Vcb8GOt~!50yeGZin~F-9esv#K04Km$V~Iu~>I2Nqjrf0f|; zr^nszZIVpdaX`Ot+AT=Kdi*qxUy_d&_kc=ek2E6ZJtms zb3}F&Gn(ObdxI_m?E5@xza+B+KX$WDdI@Ju3N*=gI~*?AEmxO89LL{5Mu}Z|DP|=- z&-Xk{vs!K?Q}1FjSe#cp#}{!%aTjL_Np}zLAWcVYo=WWIJ*gQ-%a!zL4Kcr!>q`~8 z9hNE2(3sq6IS2lpcQMTh+R(R8pY++yk=b0mANQ0-C)~5z+wNd#0E-EgQLtbIdpx}} z<0<*-HnwOhBO~#yoR53A*sIm|QL-&}Y1BmDgjaxg_+~4^u{o&U3i_YnuHId>7r*it z+u-2*^=+%+bahphB>%T&1;U-TX{=u9WiCNWfWQeZ(03RugoY>1hBUakz+-*G|`^vN?tPxO$OXE<%WMNvALOLf;K1y^YjB#@q z_r)TN1_~pVL|bY^i|3ljY}OD+b_L>U%HPruc>TYoRp?%e-?c+C4?~^<@Ql)FU4r(w zHl=;DqMEmWLkpZOX_pjp_ITHejou--l?vFYNqTEjUhiy)*sO3Doh0)p06D#ua_Zm$ zo%6neZUYx2iaMa2(;GfaumE{r-2$&~y`%3(qOGT$O~27Lb>xiMsfWp$EN;6|B>?`u zUPsd{D04L$q!D0h z&x9xXSX0pBe|VwX=KruQ<-gX<725sJ3o%oPgExx4(MQNLb_whG*8Sv)VbbxYsX6#*h;q?*0mJG17vwrGdn5bnv* z%)7_So~pGJi<|2q8OSKW#Dr-8AL08;=S{kRT+{@X1)p-4-#`NGtuFwa1=yN+dFik8 z+&^r9Uq`oGxtFi=6R+f*0Er4=nz`=N1Hd|hoE94UtVXHu#8c*nVXm;SL@i+(OL4fGm_0lic(U_w|fAy{8 z1<)roKqcfmJJ2DD0AJ|B6#^p5zN>F5s^V4;NKGf@EF>m9cs zbI-k1=W;86|Ed{$7`Q%VwhjOn`#%2#pU;ao5E}cTzXw1aJwrJV-?{&|1)$sUQ&#K; zhwYlHM}YMPs)L~VTs8R99=*WVCt=ZX$r_Ukh}*LgzJr52l3(=#s60|fC>eZmy?&X!h?s%VJ`I|2lT84 z2sn2H?RG2_1arq}O_C0@TQ<`cI37ra3dfu+9lNlP?8gtC!TQ8^G5G+R`xnoY0gZIr zBt_WXJThZNFM$tVw?F-&4|YaMb+nS zdx#Lj@0M%ZCij=zmIwwLYUFjZp8ea-rFBNqOMa;Od>YaKc&W74jiMnvJTBW~Yq4k{ z&LENNCsC^#iM6N4_xB3A0u`bmf+H&48!_D)_tq46SdU9J2cApDD^XAP$9^#3w;F1= zbOQ1;@xG;*rPm|!?#d8g6A=@r)?2hFO}=Hiu7ulRu#J_pSor@6a@A2H-r z+um&4WfXbP(oNC&OtVv}76WzCd@rYU)hivUCy;wM(&#`Ta7)hkN8PB5yz8AJqwp*= zV*R}P&vB=tG)g|I4`v%R1RRPtTqQo*MXlwhmmwuD_!Msp)jB>p+=&K05aufQnXM1v z4K-dv$x69~;N0tdC;RZww*sPCxv(}x9@?t1js-|o1YbP{FIi=98fv9}Rx#-82qGsWQ^#=%wI;5WKwZYmV<= zPDdwju<2Jl)Ji*&DolI2m#BQ`T6R%#UHO{)vKSX%HJ<;RDG2^@%;XOxXuSRtEM$}Y z3v$bSBlCxYi(vC%K!#4^m0^C>^k7gI4g{gqx-tp<_%sAL=?$K>svgUu-HDD(=i5W@ zx2_H7Y(m8sWV)G7%8iKdS*=MX)eiH)w7!`V~$Y-*suACCGs= zQKei^6;zaHJK(ZjvN9@4+V)O&hQwAezQRj-UbL)RucrE&T8Bn}EIZRBky@{! z7D*&klP8 z!f{^fR;!<@`)bjW9;cyYVRoX|{7^VkWax$Q&@AcU!tbHUY_*f@#GthPn;VM1Y~dv%aougMYL=~j|9F{PA}Zj#H?5gCS5U} zcIOA6;(#gyrjB1S$~JMuGxjKVHc5&L)H@$mYidud2sN3)XpOIbmKswCOvlk0#2=RX zoi+HYF%W*%Ezxic{W!R`ySIT6#pxpsoyY)iCDOE4(FR!4bBdS$&x|h?DFRJ&!W$Mj(;lz}h<) z5)U`ZT(fL%z3ETJIYh0D`-9j-Ouc3xxKu;Wm5(IpUAe}iQmZ;tWg!T9=# z3wIJW7VbvZRBElEM@+Z2>7W`Tdi_zIwK#7QBf3NNI&OuR!eQ&Q&IO9$!EffLn#gHU zXZVC5Vyy_$GVbWeyb1yN@+#yRLUG5{oTF?+cYo}y8*Xl>)>xl8! zk~=d&CGhK3w8bc6`K`rTB=5}~f#R%1@g1^#Z4YerF9RXutY<=j|bReCfqmIjklqO1`#eQd2z9hNIAK?Un(g% z^s$WWH4pC7I!h(g?ZKomZm`t&$ZIJH6h>M#xQgX|R`fHS8>SJT1^Tmoz3n;u{@#Ju zYR8S#!%TMbTQn|s3XxNREdl0xv>U(Hdwj($gc-KBWejwPKfEvh=L$`Pf74=1nWixz$t#T=yl;3Ho-WV-R?@z|P4f@|1|^fDRK zqm|Um#(N0<#eh9deVB3=`~E8_G1nA>Kom`jme$WoJe|E?z363zn7g4C=*acKgzSld zHYLBT$x1omU&u61e&nIgG_gXWm&te?`lN#!ACEh)D|4*WTqacc<2y$YbSbQqS-AvN zN^2OAG@pI2Tlb6Mo2tj#P=$L>`{Xm~AEdFbg>_0pnkubdV9LKZWDm2}X04(?P`@h{ z#+^VD`y`D5?VK{1p$2vM1eLHuRw>t+;^I$ntUj*LuF1XLE=PYY^GfxXJNqg~k(%uS zucqod3m)ReLP zK8QA1Z?(eZ#~bZqCoBnA&6l&peVkO~cz0v+VU?HUq0L#bA(0`lzvpMN>4@nKRL5L* ziNkMe)B8etS{sB1lnX|1(_F(K*Nthh&1E>IjFI)rVW<(w$PkT%6B#9!r1}KL9_>vE zy({C=9UJ9d6%%gi<7m44B2FW~#3A;UabmqhSEVlf$9*L!Ibz*61{G#l; z&eOii!SR)l%XQ7qvWMa zlzOGe%j=B;a8iexh^0WKEzbTGa=NVZUTqgl5hECbcm4jNIwkFMn;Zkh<}|yc*M)U# z0DiTZya6$*4ABphoA_D?949h-np+cV^1O@0iuy~`?4030>NB$lO&&9f%=pnlFz-Dg z>PJ!)Cr!A8DG&}Fzy*w}Bp5|OG~~{s`514ko*KnZ44&$Xr-2sEr%~gMni5O2SDk2J0`Wx7o4&-4#J;<1z=z2}+>+*3I)W-?g zZ^J_(LYw*fwuy({tI%Fc_-6Z+t@V@&PDKY;jLlBy(81M9?asile|Tj=ZVSkxkYcSl8`nhR$Tj+@e8VU%Jsqm&9+Z6@OO7>yOo!;T})YR8>Su z)WYKldF$my%x~9;XK_v)Za%fik(N62eNODf7|X=ZuqRB2s24u6u}r6Tnz@o`KFX)9 zQz!`qor1;LMo~dLWtlDk-MwTE$moLs+BhsouP_Ug{tfx3xM}Qgv($_`27To?pM{Jx z%D#1kC@4R#5j)q-h`Tp&!iJzk{86G>Kp*q;1#GrM`!YWg$I*my7u9M1?=ooT--&S-jieA36XdF4f%4PtBOs4 z)u7)=|0tBSsK_u#friiN1=lN8Y3S4U;-||Pu>(7g0by}qOr%TynQ>QHHGaRnytu2@ z0nHO2b70i7W9(1@-xC@ld2CBD$I8~f7Q@|K=q)DDc%`E*WKDTMoLl_D?-#dWzbbbV1)>WJJ~JO?P>o3twX;_S)q|NkDp3#&ytv_(fA5I#;Bd3tTZQ?j+d(5k)7O)%loUdGKt-D)%iu7;Mo=O^ z3Zkj#K16S*Fo!#+>67&z!%Pd6V+mrfcdD`6?Ne8_X$nT{Ow|7TnjeNrMWP5je33GY zTvN9dVdP9b9g(SuV}<187Yd>}=`S;f8RT8e56yKie+H(6eJaFBia*Bd5?7jSftbxv zm$){JaK8VrS&1Pw

    A0q%HdpQg?iTDTgB3UR*20Tr)>%z4nkCj@W+r-q`*Lb!-xi zB&E|z%{-%6TWbRjg8bNOh{h52Xv>H<%HKDOm889|()|%zuzsD6;E!gg3lwC;@mm*& z(;}HPh)QbO5q(8cb*!&K58uog~0o*|tSr|G# zx>cF#7$nt>!r_v*`o&27#?Gw`WDXd;Nvet5Gq%}CuZvNtgAS$Q#VMFSI+5&9$##Zy zThQ%QktYxbS*RJdsgScq=DZw(A$HUyq!M&PfYJO+EBRwehCXYo2ck##;oyAU36nKIfRRfekH&)%>{#$)u0%{sLUg=dQPC`nA9cA zH~-bZn(}v~$1A<-%1=pMl0OuV;amg?HI@rMv!9QUAoTuV@?iOGlKtCFdh@i>n2NoZ zOGaf21tRDa-(W2V&qgjO!Ae{6nzIXeVRJ(2oMIn$Od?#e9w|wRe@kH}!;p!2%0N7Z z9RXR57vj}YKsz*~KXJ7D?S*=z;$EPjcqUs73m2k`!kuG+9C6E76ThP!@}1jdVXN95Gnl}4kqKbe?Eko_r?7h+^cva;$q!Z z@I=s?Q?3}4jEysJe)n-x``-A$Dh(>|ipjl6O)~URwXTU;=k1^SG!hxn$KlaCg)OD^ zSQ~$x#U4pI{7K*D+CvN4_6=VbW1vH7YHiJu;Yl5zpp#WDrJEMhE-00IFAY0n-Xr|E zXLFQ6fM~M~l@Gn_Kq!L}pD+c}Y#L0<{9!#)c3sRyqE9m+%-9Goc1d)(=euL=%e<#C zv4cKfYDphz5ly03@r)^wRN8h75Brphi^=esN}?jKcQe9pUiX(hrS(O9NLHw&ACCQn zk~J7Q-7i41D${EZUus*cNwvY3JCKU0PL@CMCJZx|YxOGp^I|-k-Bjn)cX#$_$ZW)P zU3P(nuy@kC99VHAqa}$HbbQ2R{YXjK*oZ(g)`Nt?4dcQq*Is2K@-zA_d}(}q;?qR;yW z_%29cOKLNq$_J6_cm062m6A}!1x$@defac_$Oq(D7KC9r#-}r>qC^S1)|x?1L$;dr zNV7zmYHMvMk>}zk_ror7D@~Nm&G=P{xS5W&WaX>oH*yZuIALelGT~e$YBBv=%j~DZ z^;C>T9~^JKdcQ~JTQ0xm4dx`UzC4BYxFCrg|n#_B*VpM`1Bc&YZu48SJU`Svl^-(_Jt*r zXhTdt$wyr8J-6g1_PK4cM2U(I>_uSctc%ab$j2Os1_Es3F4yoq%sLQfph9Oqy+IFnF@dw*R8EUFHEINB&qmRHO z^j(MBQdwjs`kneBDDTpewn+!x1@qU0`9loxs}qMZ#_-~AVJ{6zCR$=WahBaav6`eZ zN%PH+2Hg+gMAeCE?xuW8d>5(p@QV17BUS5#c;%y=mlmwDx3p=XEd0Y&gcHd}H%mc# zhMs-RH5oqwIQw-v+wd`CW9c9|-PZ|ddB!;|3u*N&eYalx zU4cxp-jn{l+)7O;MmyWUcL|Bfi<1;UD+ZLWJD{8PG~)#(f+QA3F+miLm1Ewe!_9%8x4 zp}RA5myP|&K23i7ZW{Y!f;D8G&&yN=Y%G^3({SJAUlSlk3aQOti9-!)l8R06l$-e2 z{jCW7^F?XS0II|W&)fP5NCd0raX~&kZ4ypFd43}!Jmv>6OvqH-E3rc?3IE2(HpGOx zWL1n7olcCT9W;#8aTOF5tuA=IFyyHdfdGxKCV5}Q+fVGO1+wsGqEui={sbKbZHUHB z_tB`KwhOT+Zmnxyrx?-R(U7}+Cha|eLSWq>u;c-;E}0qP`3+0YwxI$76|`>R6{Zy3+*st4dotywI?8Bjb~0aW zKFDEqbc#Cr8B!n^@zd83iK~-X-16QI(GJL(1o@WaW{Bmmby{{3P=|3eP~J9laj0+= zrXkH})CjQRph^fun8vgw2bp!OKXJYTpa5uqU#$Jn!PK%<{cfOQ zhH-%Yas|VwFxNhR)e9z`Ak@28`uQH{!A|w>=Yl?8o3*S#sW|^^yw6}#^?oY~dQ@JM z^f?LpF<`mdX!zcCF|Zqojkbpuz-A;v^_DcSajD_M4a&LY%$|*5K$>CQbj!PR&17)F zk>*j$`ASf)#Ja@V=;_&M?U!k~Xclq1fC`VVf-b)_6h?n0 z?bDzkLL6jgaF}&3-V_pv`EuQXDVFfZ>Y!IBE||m2L`L+l_9M4? z(fcHg$5zHGM!MH}nsn}+`!O2Z1;}j9A$}MTq!91)T+60{FBNr4ZYVwvE?gqw-6El3 zK~2W7iU;~+)&dlVd%H2ysY2@3gdg8%4Nl*X54S#wzTRPRHAe04tNc{jrLp)#6#We| zzFzVE8ZaF}7xYxl9jo2DA0&n!3R1C3-axeIPor*eUX5$-kye!?rLd1%QR+m{Kv<#2 zUOZbj~pSmP4ffCq@&YFi*NrygGM*%OR8#C9jD??%UdTr(9!@naY!4Fe-2{gw|KkMB@V#xY+v2 zX8cv8x*~(p&mV3~q%W4%*jDnH-hL%MA;8WNpjjwlkwN(_M}_L2O5E`2bs5WcHr^|; z^?~G+gQ^eYU*UStmwAaphvTn4SF_UmC{)d zLou&jV__;`%)E+{ND9Ib{`1?Ttw34NRtQN4oKxVITSh1NX0H?G^yeqn;AkFdkxan6 zs%9JFu@U}l#)NO&1AXE7`>amW@@2Y-2Jlc`wmu5AQi?&f{n#zRj#__OX6BPo>Ay?~ zI9IL7xv6zYsg%x;sSCbK9iFcJ7_@$(pxozn59WoZO2X$ggryHk2zN4=)a6QXiwt9C zZYx#}RKh#9Khc2MsW1_83RW|$MK~{<8&jW6-ZlH2r|o6tSvD^pf=^4A;2GZER?p$5 zu@D@}g>*C{Np+(yBDU2m_Jk}!dqMe|vXO#sl}EEh)X)^Wkpiajhf5d+Kwb$EvuCj+ezkhF1-wSj(>mZ#l^ql~Vg9x{tF&QpJcd5q)Pa03h_ zN<)QJj}Ess!#w@t*TPiux7H%#F9u5m=Ijjvc-76_VS-iI!v;IKZedWZQAu!1q&Et; zIV8$z9((R{@VY5o0R<>Bmz2A?*q z)}@N^GHojBGiH2Cx%7}CiI+qpqcAc|llS74D#ND*gsU7Q=- z%e@jKM%GIsoT>Q*(U~btq^3Oh`fVQ6F1>ga$#KE*u}JkWnhK&b6>dy}hhZ$=d<8Ea zBxo|TGy?;XV;HN6A{oBdxnhx3NnYruXwx>-M^IxPAu>B$-I+{j)Qcq1XrOb#8&DevA|B5=Huw~X__ z@+@gJ_?l9^j1+8oX-{I?nc0bn$Ikzz-w^Y)@D+x-@elW?qMB>5ypJ-!{F*YUdU6;vaqHfAG&?zh~Y=z3)sKaCwo3kSXtoGX3UX!QNPN?+Qm8{r#cRijUEPCY+^pPpyBRDW7(%;w`ojC#vD1PAQ^#r zo==feWZ12pTGk71RDLH_HRCi4edI+cAPI|hNr+S?1y}V<2{V2dno1RMew%|Yu68)| zA-+M!ETc=TACsQy6WxwNASs_gCn|UnF@V@mY6TomW&V(sM-?FgTgZ9B7xo2rarXuu zdnYXpY0{0=PBYhrT)M0?xRys4Ja_6}|?2dab#p~EE}4(1Ly6JyZ6TE;^h4LZ;)kx*i8Y;WdTgQ0Vx4>$ZYT41*_T#-#;V>KGl!R}Du`*_AR2kEZ zKe66wm71&~4e^xhI!gsV`t4W?SAJ1_3`YqK9Xe%%Nl$KG!4s`D7|7D9bLec!iH^u7 zkbcR?+;gC*9(xKOPKtn^bj{^-jwWzd2zzQ+rBU}XT48A6Mxiu4xL>at& zwywoZ)34xpDnxoB=@RNre@XdHXGuO3A@dNzxYZT`$mCBlitHj`ERbRCu-g5C6%4vNbNgs3cqD&e|NGzzyBMms zz?FTyCdneFQ0gc7P^}1B6cZtK9;0*LUyRg7QPEf^OD~W=D9_+C!csQxF%xQk%X|~9Ul4bPkW5$XwXYZSGB&YJ z9TMzb4Y=|e5;u%Q+lZ4?Tr!oSI=}M>wr8|YLt~`p<`z!6*=!@fyuf{12K|sSL+*np zC&F(eUL@_`S?_{A-m6#1y;^v=E^S1+7Mk)^glL#O7OM!A z#vs#68kcV~utWa$OO3#VCmR2h(SEB_Wi;ZKx(Ph6LAPR={{;4aTltD~`b*lqlx5AM zzVRbGjpjWRrcMT)UfEjq^w0-;!;Vg>)-@lf7`$Y1qLx3D{9NP5xnmq@MQiL0by18N zwpDdW{8;z%7%t%=FKOV+!#Whn+eyWuws+Km`7;KU-Q^!U|;B~*LMwzgq zeE+)(F!lu!L*xJOOp}+$Y2Yf#CIy5~%>><8z>`$Af2zAb1k?WolqGB0ZdxZ&V=jgCEC40BK|n+% zY)hU4kMi(PzR$#(+~iEH<^@r%@Ml&rBj_BGkN zM4Yy0hgn%*F)Lg^t4|UT3_>I{0_jiy6f4XI{b6LPtqZL?(7=hU z&Y+l;0vSD`sH}hGi2h{*WFWHs)Pz-fA+zx`I)bF4U8O|G9?+7(T9P5~Sh!e+;FG2J zNJN8(WZ=q48Sk)Rga(n@?!Y>)u;TM6j4;a;*KvUQV$8WEJrwwK)sXTEWTP#tFgJ*?dE!G5)H3 zF;^tWg}j^}RPx}>Wffa;6_|{OZvW7rE{vp@GAC8HXmzWf^ESksK4rIP>{qgWwuViN zT2rhkYKncW{`xi@__`op&)2dNl+{MQ;fmkb^9`xWe$6`II;+lx24>U-v=+X4dY!>7 zGQubDfzmCOmgN304vxh+>iKN8nGMe7{gU*HwFwSj2B5Dv z6Q_GdLWGhFWZY}mRq@_yi6ur3EC__xN-u$&{F*00n;+bL1s-+By0{8T0Q{xINzdT zewl%Cu9!oLWn1J?5wa>a;Oh9I)y4Qs_~HQ&6CQIwqTa`b8#rM2sJ&Rs?z3M^ECspR zh%6dmxahx%jrinHu2U{0j8D$r>Qfyy7-MV2fB~&ha2*J7QLwkG5cLciz&~9Z-Th^QJ-rs*$iq$L8Mom#s}+pWkGAe+aUg2Hrba% zWSZdo7g!~;C5>0swa{p@Ic4OYIZT!wnMt11VI|fU3G3~%BvOf5GA(tzNCiPqmlM2p z1!O}ZrSPG`f7A-?NKt4&ENT3Z?ZGek1Crs`i zmp{Ofx=mY94JIO#?C!E1*VE|@rIzZxE+p19lnX_CbrDrj z`Up|6GT7{gX?^+{V5&a% z(VOnd<@i2njQGNQb08=UEwl2K>+hmB!40CrqNE0}sSp+MC(T=nliAar!j3i~1Z$$g z8@~Wo9izHxdM)0=&k=ulasNWO!mv93uGt|->l;E5ufU7ESF8yKe27~-wOF^Sr8Af| zp7o1LsiDO2GEw*mA6w$(zBHmXTu63G_)b6^KqpY1vXH~_cm;rGs|6NOwZQspIPTOo zvO%w+%gqukxEMAO#Cjs{c z-(U~@%ETs260p+#bWyy!1Q;ZUx}1gwS-)(&S*#jDhE~B24T%#Vg>$DdBDOpcxo3b| z!_^=v>!fXnn;Nvr0&YAfsp-DH&KTPl-YQi&&e3>G~oQZxyEcfYPj&FRCu9 zw%JhjR(J&uwpJi>;g1v+NS$(}72*zA24i zA}zFm1bj>s1O$aYK&^~7k@ZDtlMQCIx(Xgvc!B%6U_YQLzltXnR9kT@TN7+;Pni$* zU6w;^K+Sd0C54KuzhsHoW7BwPtR(Ghbc(W`QBjD!SntP|nKeO7H3&<(LDrSm5*+GUY+4J#kOPPy z-Jvh^H#rdEWMMHv`G<01dx>DDNg<4=@ls|5#0kY$qXn+0*2XdDZ6}QyY4Qfbr+@%7 z`P@ew?jSh9tw<6Kn+GI@ZtZ9x@jB+{!2OU7XIiitdA*hE@`Y?MyBCalE`<0CG!{*s8B zFm$ShmFhm*P)@0aP6RM|v#BLA0Dke-aS6VhaJV(M)p6-BTR~)fO1`7zDG=+1$!lE; z*q{#0W;NfT1>Wct)*m&^Trk9jd9gXc^usohO@t{pV@DXwJjHAKlXRK&w*$tfJovak zY{n)F9(Pb1ftn~hTg_9KFUkTVMC_?zh}Wb0K+@<$RRvmjMOpXE2%o6`A`;3iBF582 z)^VjZVym$Chc^KLYZ$`csw73Et!^ACgIrgG9K@N<3doUb!C}XWpbqiPG9eKnoCx#1 zG>=|d;L|D@kgdk>&G~Buy!*qVm?qjFlvvBidmDsDttfA7TaukUID!-KjyJr;U(n$b z7IwT9lDc>OeY1w6ic@`jJuen+Dw$)T<=z*#BB63Am>QxLwkj+JXTrVKqh}h9)NqL& zElX{HiUF3`H{ke7UF?lY3vVE7s5xGfm`sT|Ox6)Ebiln@Jf#QLU4--ysAj$123DM& zV-iqajGUK8?f6&8zY#a*{acVDT?a@}(+P+9&M#P&oEf;~yJZ!>o96;Hw&s!iHwFWf{BmgBL=He9*9d6K~a~Q zZ&mAUAyu!if!eN*NVg)1knb=bKbx)L!VNQc(ZCTe+$dO)f_WDb40YZMj(H5D{Dj{i zJH*vqhvpVhSG7sbJB|Psx)un#}RoyQv1q`>Gxr>VsD5TY>>OXR&}3~Inm0n*>_$p$O->~^+IFZ zcx1d>oXrBj53#%m3Z4hSd|_}ZS~D63>^&kiE3mi$mS~rctB;7$y$~CeNp)LYAyrNa zR^VB4dN*kj1ts~C6beeL#rG`l=Yk4^{snZiVO z47y!OdPWmVaTB3duwE1MhT7K?e~&_7=JfRB@L}8Q4<%e3yL}elJr|@bJYZ~oZIS?x%+Hm z6Xz3+05XO3#l(70^p`Xu%VNSb-wmFNI&%mEb>FBNi2*j^)%I?YiTajeWP~Ef(Qoh- zCLQl3TO=!-U8Y}m3Y8((pVUC0GMK-Pn*d4nEbH&PM`!>I901c6!*2nZ?_1M-=^fY0fE$*2+*`0qDt=}u?7wU>zg9L%TyQ5p!GcYa45ox|Am-pXyC(w z)8yyFY>n`u2_)$ONs(1MfVZw;-bO`MaI{wU3v8o{RhLaqCpEDk9r%g=K>l*AHHpoN zj2Q~x3?x#_Ln_Nu1{3_pY+C?^#M}F!zjX@f&Ee9RX#-N*s^V}X5cnggFkGSgy_y@C z9cdE2(9G9H+ON37%Yxvlse5_QRQyT=n7T6=>GbACQAt1y`V#W+tm}wYC$$nqL@Z*) z7}+X3Rk@#GP0wASZUiB1@UHi<;Rac56j3u}RUp{v=hP5Vti~~9X~9OZWeyZD{;n|^ zChR}V9}Wm_CP6|mqF1aYt9es=L6K@lDW#LFD7QK+Y@4vyf~g4&;0RX|GQ#vtXUln5|VpZo)tbti}b`rH2VH_m>PP zRYdbG7CR+G1;r5KN7JcZEgX8@hS>3-lnIVmbF81O5zGOF)d$uR**4*L@wNKvYg(0a z_ENXBAsNCXUC*Leh` z{ecFyh8G9+rs+>0PjOm&3c>V&b#G3C0xdAZ!iuO$vF>|D+HYriIEt~n1!7G!oihPo z^KL3d$r?WPCrh!b*fAMMtOb;7(!I*p626hNC^u}>aV!lhrWr7+7T7Wn5*~J%o5sY8 z9NAhM4AgTnzfS^C>ijX%2y93=>}CtU0`&xUolpWN9a5*gh@AThqXA?mchXjFShaMr z8x{>`!FFUh>B6!V=~iWH(rwDt6h4);hyjL*H4#@>Yd+R{EF>ea2`iexXLU+9YB=Ch z=@b7n1?kC`AboZ9}sEDN|k`@NXzbAf2E@x`B;SJNC#B4((I*F|c=fNg^X1`0rn8bAn$2oxMFyE>~Q37=5in6VK zPGl+BYao>U1&BA?>#UoYt7nK>)>^r{)UZqA%9Y|sSk-XgcX6)83*=KTRvMl$$()p^J9 zauy)qnuC3)j%yjbz2t*brt!hHK`PP&jDTR;2tOA-z=phIylHTXUZAD};gI*Xfj_=O zop!;NO=2LkoJ0H@?QA`*Xq zb}$b?jU`hB2C5OvZz-RODOWr(;Fo7GAhw<6DyXW1+Zi)zRGPmrDciLLxkE}3INkP+ z&Iv;k1HM+pgrRCVy%MYZ3)Wa?##8{`ktK9F z(Y*D^iO6E_o}9#>q{BmE-@@b#aVOsNU)Q8EXJSopytm)lmqGoG+n2 zDs39e?La_BFRMXLb3NTS3ryugU>W+9mi0vk((I-Dx~^nlcSE2>-Q6p znA*@qw;@h{!H94qNaN}(HjV&duf*J) zC0?18L)gdrg$3R#>W>NM7r1?VGP)(Y4>lZulnPze3H<)_2@e2@zuaZ6F3RMXPJE(ZV2)%iYOvc${YwG zGqZN%&{kIABLk4)Ph*xtoDIz#AubUG$ASgrW-t{lgSV)+A+`c?hi0)-Su3`)C>mi2 z3Gc!xZIQZe(^$baYZeO|#H%*3L1Cw~2ya%ukflyC(UlK?Y+HmR zQ6qSPem)%V34f741a*(hW-nw*ZRcEbM2fOotRGs8$p4F!FH}=AQcNAm+rTF7Qua9@|D3ox zX(bT`mX^dzu@S-k5A*s>a-`g=Uw01aWnn!681pl*-ZOlW7+{$b31eDP{xUJ(W93s^ z059P!!Ly`ER6AN6EK5(j%i5!@)zj94MWIZF#lf7>M zc{i+00VQO`V>FTTFSD2cttc^oy+JE<-vPy8ZEjK82a=0#bqz4Eg|Mkpm+8JSec+tf z(CSMj^d1TX6=A({%P8Es`ApiJlYTw*v~={nt)Z~&*~Zoqb{@E4+!cPX=o;bzIB+{S z0)!O=X^d1yOnDJ*PJv0!BktK9&ozf;@X9KCi~aFph+p9|qAD3u>sq!IU~Q3IWkDzxXGqOjPBf6y*+i8@NPcfmhft(AYXQF@{ozVT!Iw zKxtOyLov}7WoG)_OHbty2ZQ;a03UkVhZN>_bE46R0ZmTS8_ zftL7U$iqfPnObG_fdu&yV_85cJnxCw^2SxjrSh2cXNgP%NWe<_KBrm3P~C{3e>4x$ zIE<7kC!(NT0bw1){#14RO(l(gTW+?LVBG((o5B`;Zfb4e+Z(HB@M*@ELaqLo9&Cb4 z`I=fW@u$$4lXj@uAk&08CWK;-E*uE*%20>w2Z?B3KzJSUSJ}3p3KL@%#Ynzwq@p&< z>aGb64Jv^UqlSPHr*bSYxwT1Un2rOsssyQhz&4uC#EO|pbRS2^habX73^AWfW_^M= z+E&wKx}ab@$A?0)D@vaegzc{fBvQ-y1@n%t)Dd+=F^4Iwf03 z*>(WCgalTIB}mD%??Xr8>c4C%{j4fB=o0|kEEpH@s#kH^5y;P?>M`yswG10%+u1AefhjLeuznBJKg>r*?4f(>)A%tc~wQwfUm zbS&#_@GDcXRe`3UT+fZjfcrv1?TLiM>q=l#eo?yNaX%^`!dh4;)O`?|VIdgC(wg9yGHG(i7R`wjE)3t$bWM@ZIC7_o3-Xw=g6~Thh78F##Dqr!Q2iB=1!X~%iyg$J^ zXT@Rfu;L)x$4?>T_`#QqCRUb%U)5WG6x5us{?NdT+JJUgf^{YYJiLwh9fAYhnygSc z3PU?};7SVST5R&d#40Q~#{doB?DPfu5w9Qy8}TaQ))>4(HIrAfK24Ohl*s9fc)WM& z3``oDi%2KukvgDZ;ZlPSxH5U&Wi{*dHn71Y8u^yzrAsZd_h7|Q*pswnq@FFTV;(n% zi9Klqflvb{YavWa7@t*5Y`d0|dbP0rcZ0;Jt81lxlLw7TdDPX6YLX%ft+@ZqdHNkocHsI zl%-ns$7CR`dfbqbBE^=l_HDt`^)!8r0L!gg0L+wx|cC za#^cw^$M`@uduuT$J@aA>uXrWU?z*5L0E<#pEC$6xJ2wJ4AfszXX4J}i>gWji(e!l z2{MZJWMsl5dRLD(H!I3JEG+CyfhOuXKj&|+1RHCi988J~*?F0?aLmFY`U(`TmW~vb zb$Tn>5=+=i#Cv#`>t+KC6AdNmwNOo;%&;pd!<5=-Fq6dNWQ`e??M^99tTq4*B6ke$ z=VAq6ivDa)77`(nBP=1hQ}h=lBaV#2>K%~+S1Dx#4r_HkobGo2n1QFfSH+sr5|r5| zVa^|sHI5k8II3>-3%^;K+az&v+j4@B+ZH0qQf2%}LjY#=C|%8!kcNdq5wBP9ghgS6 zG&CL10-99Mq0|I#S=h)rjeo6p9H~@k#X!hegno!{lkgCNkw!9g9AN*N8Zwg7AZ`%c z0)N0Sg&YW&#YJSQ%B0gC(ST^3HTN-r^H?b@so=J?+A}a+Jqse+FlhxdFIdyv5dUHV zShbO01KTK%;u+1o$DXUmNs0#@TSx@cybZoUvME=V9YLf@gd|5^ZLDkGZoE&!#|ah_ z?`vZ#;YE+oRjk9>r|gx)Kf{?7do;y&q)Pv(Em)(^ zSTMr{X!Gj3RjtQqlJ$!Fd7$pyq_g;AJnQ!>CyPic3h_$Y2;h;lFaejfSjpctK{h0? zgq*-pb;s!mLa@O|lW=X0j7bC&iou>c$D>;l)KLQp_LQkBDXfH23;rc)w7nB5l zi1bW=*Qu_~ivQb8kq;jW@hCMTt;<&yV}wg7gl#P7mn2m|1Z+qA!LU+{FV6JDljQTq zG)IMES=Bg%CzljbKIc^}>}S$|yVz^i=3R(Ge)S1QHG@nF1;Olfn?z1f-E$)$8mh7No$Ww4$gR z#$B-kZ@$KCiNX|mu;Qn90FkQ>wCH7mJvrSN&r}Nre{3SBqF7kAs7M)OAhWUo#Eu2< z=nNMm8aFNi!Ftvoi!%Fjn;<;S)D1pnXUG_4B-q$UgD+N(U?3T8D1t#4@5Vu2vCy8e0FF;} z+7b1J87ok!>^5WGelzbCb*l)OD-{@BD1vqOl7v(HU3o_CtIo%@L=rM%7Rz^*Ly(FW zC-M@{5`u3P9BinZay=Bt`MCPT%rJ||7bfSKUPx7Dh}J2Wq$@{igkzjnwz6T&pp=pA zS3@l`oIJQQjtd2n%M4?z4;$H98w}KQZBZN?jTO3TDx@HT^-h#DhZ=WZS)pZ2s4bKs zGfPP#U~3%lfe<4bVURkbIM3oV8sB ztKYy~Jq6w%q1koBI#6H|o5&5Z#F`=*M07?C0J6GJ0ckr-?9S_iN714vR3LG@ayv;4puK7+6X?WynR*ZJPMEngYJo#z0VbTC$50Ng%_DAFxxR`T5m`4p{vWCf!V2 z=@X7UQB_O!k{d)1RBj}axm&a2I7YAnQ7h_dWh;^|ome8&%>o<5f!anDOO(Xt%PM?1 z>+Z8mm(6cJ1Pt!X`YKUtOQMQMY!AS=28XPtq56?HLY<>KsZ*DQ!Vhjks?Z))b?;F4D3cf+;a*tsUO84P$?38EoQ#S!PgH^_D_T63tbl zg*F2Ze3bTsXs5TT+wF$7hUx=;5(71 zz`UG&rJt=~x%g?|ZT0c~+92-*YW8Gu0Y$p^hKV3*?EN<~nN63_jVFtBk`WR6*SX_hKL?sl58 z?m8azV3Ry%^-tt3pqikO(UyEoVP0D330CN4NyMFL*7av-LomQ(Ks^R@^oXLe{*@#8 zmkm(FTr5w;>7T2i`=w53VKr9$XpuM)z*L`q)~1(XgDUZvQ()`h4~UafDwg82L~_}s z5F97DZ`D%FA6Bik{Ryg7=>!n=a=3x>${u{%)or7A3c@++3Lp*Oj7RN!0l`O6>}QD2 zpgoc*^#pSS&p==m@xH{qpM;eotSUJgrlE}E)rH<2T95{sPJCYv3E%*^z{BKdD@eg{-e{NPLRIpJ|-%e3i8+;t;lw zsMDZe9&1}_ODy+dr3zvko4wp>$D-J}dT6b5K@r5pGzb}8RpzkDV3Y#0!)jS+BAS9_ za4Sp}q2=qUK(N)%sqap)s*>%sHVkbZye2fK!B$mQ;+X@l8oA0?owWjbR<-=8B(uPS z#UAP)H6X8)T!kzdnM>r#RY{|Cm34d*FK>ys&|o8x@Ruvw&tfadvq4r)wP+N0zJ~Y7 z#&+T`LG(+iA{KP1Lfr zh_X^kJpxMaLv1r)Vqs9FsiTaH#@E7}pNm_Rje$7d5Sb=WY}IR3Ne+-HsgTOV&qsA? nwS~xJy{{%4R`hL6wow_GBVxLi3s*cK{_p<*m3+<(o}e25+f_aO literal 0 HcmV?d00001 diff --git a/data_application/88soils/filter_onepercent/soils_ph_compLasso.RData b/data_application/88soils/filter_onepercent/soils_ph_compLasso.RData new file mode 100644 index 0000000000000000000000000000000000000000..e591d05ebcaddabd263fbc310fc4883037340feb GIT binary patch literal 9099 zcma)gd0f)j+Bh?Fr|wLPbEnd#RA$~vrg2L&QdKmM!#R2Ucb44v0LiTV1Uw;%s4?6X8jWa^f> zhpw)5%Ms5%xRCX;>z5yX)b6@o_`xQ0FYHk+;X>m@k)Z8N}a@`MyW~C!7@R{n{B93Q9fdPe7u>+!&S=0n+0g8 zxmT9je}icnM-~w;+`u8^AeDrzxJCk+V*+=n17A}xTr>qj$sPYfzo94tmdw4P4N zV!}OJ(Z{mjWN2(mhG#9Sbr$krJBdQlZvD|{s*~2r$2KeBud_s%ZO&MyYFSlIype=h{C^warY zpvjIKJ^%n7zP`eiXBCmCj9tuNZp%MMg&QN&&SzKdyv44!NS?H)vdGv1BCH>4L%FwB zQ;X3($RscS%A_Z297Es;X;HuOn{S|hBL2syBn{`c=xFa&o(k!IbETz1KjoaCMy3fI zL-R!*Q;JW!$@$n}?}>D&3HzviSuHR~8Z)4tw0V!+^L^7P%jdr{ zhlKh+=f7*XqsO*Kw^=pD>b?l}iFI5K82(+cDEA#&M^p&WKpez;K%bJoo%{|FhX32* zdI@YA{yxPrQR^=+4)tEm(=Q0LVD%(m?H7?V-B)NSkE1!NAY=Fo{pE^oXBYUu+*&O2 zv`>3SC>MM11O-1Nsh56{3??9o4fF-F%;+Gs_bQqDR8n^&A&^29o<6_;046Gk%NDu* z|AXgo-OX3QKX)E#E_{S(zb$QHLQm&eyS!sy>=`zq@+wG5J8trZ6ytiWeranHXMxKB z&!&xqdx!0jH()uycQgP%&8bP>bgkHGU+X;f!AcsM_(tnll!W#=7}DBr%=k4;T}IM# z5_Q%C_(igkxuirc53~oNMK_+v;M)0xDnEX`u@O>ZFttW+o4_XK#S}y22*u2~O@}WKFQt zuEXC!mdy8-i$jrk%iEns%!N_r!>R-*+;`^wwEj?XS`s^$KphNjEUZut3>w=`hsE|R znf5L9d;P&Om=1C)HBG25%A?|QPCUolLd1pQU8=rE@Y-T^A6ihWLPJ^5ee1YYI0AKA z{QO|Op{kPhxuHHm!BSC9&H zR`Q8IlXCne`#uT(QhWI(0zO*9&>ruXLpvSCw8lyOBtI^Rj=x7zuhJVMyD82boH=Av zcb`fhu7AhF!sfezCbh4TN+eeswAcL989hQhLK;bQ*~nFeoPaK#Rs?mY+O%gu>{55? zXYtF0ab`uo8jSNdha&^Kf$F6EXe4q-oo&!_TeypM`_79bKT<}soZoKqKQgxur_-t& zNzLPnt4j=*;K`#y+KVilhZptRPI!OvJAdUD4;#c{*(Yi4^k zQJeNc-$klC<<&l(@>0E1t*sFiNA)w0c~7I00DzMPxUUx(`&XqCV_s-M1C6hbjqFqV zuHvm&61fCVwNdf-29kQEfsU@$gYPt)?iX!y5<#7G`9BJs&1mxbp|eCZ4>LR6?=$f) z1~C*j=c?ThOLS*S))3_$SQE5HaDaS(*LAGFJEp7r@h9(7xk{E{iyh?|dCI~+$|0;H z!L5UIdY0RL_ThPFd)HRhOnB8$i#Iv86}lqBy(g5*ipZzv!pkv-PEb;YFm6HkN%yVn z`yU?MAlveeXlZcBM((!6En>aJx1UD4O$yH0YPGz$VbyZL!{gDR=EQ!*>soTG$b$GC zq)@)g*RUMm8Z$E=@e%QE*l?s)dF`*(cU|#FmDpZ!f)MInT*_A64t47-RUhdwmxuyq zv{YerM#kz8e$qf$jdWwO?}9E4SJ23PFzmedX1-cCN-6X}B&D6-pfO2i<$F~kCo)NX ztB5(RyMVxr@*1jjDu&!-G2oxAtID9uYxZStpKMu%2mqU(4b}if?5$@}ZaZgK_2Ld%Jn#jiJ+g-v02f8uSx`7(6t2Lsqrjcb% z;$3+7spqnM4}?a3K2E!fJMR|d)AIGOZiKMX6;aWIn7>RKe@$LURtvgi!d$21 z^@C506wdF-h5pTkQ(IAgDm_11wk?KT-5Y}Yz~Nf*h6r~zHNU}f8EDa+=+%G{M2%*T zYMgywc~Fwq`CcR!vsb_l4LGc`@3ol^`2WWu(^8tbFGtpH^r&w1xLSVLvGUCjdk^z+Eqx2+azt46nb{$kt` zAY`k?UD{}o+V0ZXW&Y9-{E+;X6O+nCmY>F)p!kK`o=|O@(l{E7RH@@zRo?b8_X*Xe zBnZ3x_~~>*&3sN&#~066Ll1Xf1v(wn&0`&`Xuc|4sW%+*CuhZ#4F}B60iIRV3%inf z2->tci>YiXt_%k56x1#2fe(oWvBr|gc)uWAyEC&|wt&6V8B=k;x(7lnCcX0t6XX7} zcWGe>_WWI*RHesdrJ715H5U-!{JA97&`tD{qm9M8q}?Uxt8MlR{;;!_gzj#3vYdIz zx8kn=fHRJaoYd!yr_$1-wT{^|k<|v&3(N^7a)w?i`q7AaE?S30^+zA}QCO--t5D)w zaUDHLD;Gu+C+2LIG+2PjwAJ$&E`oNIy*M9hLyB2lFi59GA2^R@ZHta}CB^?o^{{>& z+iS^+fP-13hTpsRF5`^t77qECUin>Pmnk6bh1OEBpcs(^q??I4X6v5)KmOu|N%flP;QdE2M|erl6?Dbr+b zABkETFHl_#P3_$ppc;3)8`&idEUuRV z-Er*s+Sk(ZaK?y!#UP!ri`*u10-@4hidKPRi+UMmb|VKKe^?BNcK7bCF`}j#P_L;Qr+cd)PQH#AfcX< zCf&Gmx<;TX{Jas4Fo^18?(+|S*Pr%W-Wq=6p*Xli4GUBA*zwG$jfq!L3NLSmYo9z#7vL3u%lli;n+YB|&u;Jve zyr9Mr&!HBg$tlCqcZEYkbf5f6w6_W7LWJEdTr@)FL+t#aJ$#VgkG>AOw(+e>`985s z-yzMc!>#y_EsvjBXb9&AKH9fp3-ayyVqZ2mqY8;kD@$Mf;1o8<%)fc~$+ijQJ|le> zQ?A<$m^_r|^FvP}9hpeAADKQhi=6j=Ny30QcbDDJ4|=8bT$fZCDqDE^K;^fCdN zMBl4gWzf~Bf{nOBa|QR$c(e#id}I4wSrj{t3%0!VN(ArY006E$AC%?30{~XmNEA=% z=9;sQHM==4ie3N_GbfE{WmFYZD*BUM?6@y<5hO%TS>Nbs8v)s}mpxk;8*-K>W5=6{2H7g(XDIlE75 z@ATXGapaf2P;1UmEoJrp-SPvJkFC@KvE!NWktiLL;uw{EV~0G8b8 zDVpg!ZtAw0C=a$BhC$KsAiA=CGu;VBoGcFp37DEyuyiDd{uK;$@OBEPFMx_mc$xwN zF5jZC{ahrx3G$Xy!_t#KH{WT`n{`iOX)l3FJq5OHzjl|UqOObuj3L@$a*Mfk_<i{KbYr!!GtlZz@}Bp z6IsN^MUUIeb1n{2BD_z_PGZ?LcV}5mWUERyGpuwXuqCvn*WB!vdhclGbsKmZT1nl<4u5G8G zxh*OCg`cXwnKDO0jH))|ApeU@q~h>*&tkPX>B2vNVp3YohVrbaL0dP`s%j_~};Y_A6DL_=#Swy3>?m zL^qnWOcnel-)bG|ku;{CG=g4i1$p*O{WRQd#k!l^L}9Y)wpWElcO zki`?0N9Va7qcB^zN@k>%`fK4Wfzsr0(L#aZd`;mS13+*PUnDNwh@EL4#W0jVrtcwxsn0-RP@ zii_dvPL3ci8j=Y70lMiBlC)om4eAp-ld?KkoJ7MGHE3Es(|8~zuMuTvOo7vLc%37- zkc$ofGW@3T$kV5&j=?Z(nj9vc&hBs-6COE5=u39z+jr;fJWU=;5AH9%APhX^m(Xz| zHx)S?h#W&-n(>*w6tDQj=wS=A@$E$=@Y}Y*5(alnC|rGs7sp`TUy+IbXlAYRlAVrZ zZa>O@Bp%JE5F?|(%<4Sr0c|Rtb~2$Uet%AACoUu5M?stL*>G*C2{mMj>(!1wN<)N$ zQ|3AXHcTFvpp*+eW5Cg2IEk(&%G#MAot|_ima1BQ#&PF52&e+`1Adk)d?)|MADMj` zM{n{$-oF_<;W~&AsK9-eLk@3ohgtlsk(mFCXzx*`dY)=qRRy`y4QV{KLL4P%6xih) z6RAHM!>rZVkN+mYohnU@{=&W%w4w zJ)Vm#J}*8%tAa{;{b+(Wfpi$ibA*Iwr{O0mae`VzL}U6zse9Bf+G*R z^X)EYgQ6KqQUZ(XFHFzlvcJg?>|?k5__f(2Je&|Y((*N*CJY}!S0!fLJR|1FwsAeC z`RJbG44SH$CJmKfK``I;KfN)rtPF6W5mVDJDdeAK#J)(qr2#U zJO*~#X1HNRuKbDcD+SJaxS<7~mkoYBg-X*7iLwJz9OC7`Pt`jcZK5-1<#`u`uSEyi zgkc2_Tp$4s-Ar#U{!KpfNOE7Xp z%W0oZZ@iSfyzO;%jCE7W3L^8Q@UvEKWPCGzXwG?rKXr>|hVfWUMLT_wz!?mvpEY6# zv$jR@$!BTKjVgu0J#4wtFn*bxO%A(qMRwGy^tk?TTB(?k>505czaoWU7`MR1hc%dp z=v?OU)>m^owVs0%Bab4+Of_ys+$eXlH z)_6N$Ll<4_%iIi16AB>OCL23syW(s4+>R)p7Cine+k!niop?>?&Y$scM`Y4(K26{Ls9?O&$HYF&BlK8(N z%-wD5mI?1D{_OYcq~DrGMV|`u@sN~>8>_Iy}y>|}40_jCcKI0HJ9`>W7pl)PVQc|Yg!%$|<0GBI(tN!jZtl&$a0 zYe#S6qlAjC`&K#1f(Ai_@%pu*#wfi1q@Oo`7~<<@1C3gvVQ(65Q>`N+JA~d4tsJD= zN<~$krMY#o9ZH7^5xqg|N8&y8m3}Y=1$~@UTv++;i=_9HC1L9xiZKc~26O5G;t&^lc(ir)y1bmjhNwIC5#cZJdmhsNd+}Yc6(#8}FS-V;MCzKm$hrs|1GqyW7#qRN2;`M$%qEaazt%o!PjR z!Z7^i&&+>f-iXim1MF-RPZ?4mDuUQvy<%vFaHMv&%;h*wj0&g8&jI!Hq6Xzl^BbE>Z+ znLK^gu!(43CFZL!!M`v_bwGyf4yZWC@wp?MYICLgHDbp239pM;sw zDdXb*xPpAzY{q89QeKfYU0u@5tYoI4^FX~aggJ3B1Bi+CHri<8@e72r#|_;dnd6^kYfq>p-R5b(sOcGXUW495hGKeAQyS`&3P{sS#3s&# zGif<4IwEp5{fNM1>W79W&-xm&Bsy6(Qy2vIRh`l6;MQhclrLu7`KU20?IFCFue5lS zi&e(VZ==L#&Ek~RG_k1(nsU_J_)?e!X-qHBE7VcQgx(tkungrJSkZLFa~QhfFg_E?vR&p*vfW3qw-o;ldYd z>rVYY4@?+c3fpta$+1EI#*u3p0{R;Kj;7)M7&DsWlzO8aC~wmd zvWvTwhUZrZ49T4s6ui=GfcP<`xBNy6pJ+#s8N6Hyq%c6x@S4+xIBUvjkQ4C}SbWNx zJjqOsK!-Q+s5wsElV%DrV|LUdJYQt4?Iuwtih|2Ip#h!~`R2Oz^FtaP|2AHAmxs)& zHM4QjKqgZwwkdNo8Zno;VrQ6n zJswc~{LZ(GTTJsCXB2ct5&tarA5g|@P|99%>=611x{^4vJ2<^_5Pu~X>KuaZm9Xsb z9bZI&IN%~&-w=q1{@3=V?wW=iu<2#sk;2rzRs?=XFK^7tWq#``Ee{eGCTnVr!98_X zgFv<4o2aVj$_K-G3Mcs2A#1u=0F0lKfb48ezLfkbsU literal 0 HcmV?d00001 diff --git a/data_application/88soils/filter_onepercent/soils_ph_elnet.RData b/data_application/88soils/filter_onepercent/soils_ph_elnet.RData new file mode 100644 index 0000000000000000000000000000000000000000..4aaca3893bc3a6e81cadaa37c7a51ccfe837ac7a GIT binary patch literal 69785 zcmW)He?ZcA{{QE`yRKVZd3VdTmBwwmeM(8ZZkeSipRH@&WaZLC1%%9XC2x_!UkM7I ztuuF(x|YbMDV0M*c#EcQhzz;%6w{RQ#~VY1nF1jqDFOll-*+GXQ{?yi^>{v>j~}S3 zzx}WO`*~~8#~NrM*6J%1V?R9o`=9T$m;XNNx8;90{o&X0y|{CK{Xw7^P2cf^AtH>` zndPk>_Jfv4y52Tplk3$bNevGu`agX7_M<(K{rf)n?TKIi;oINdIlt}3HF$|7|}s5@O+Ko1jGRz+YWvTRZBKZ5ce*|>3| z()NqXhsNf=_WJ)_9VmId(Z7@s&?=WVBR2((VA*RwUD9)2Z{&O#_=Trjb|_uu$Wrqd z1$%JqnbJ9jU0Gt93-o{g zLvaMV)~IK$FKkJfYRKLJJ6!~KZ1e4+z$DXG5;%Xbf7ZJCMQ-LUVx&GfHx(nWT3~bf zup}*g`No&S`s*7p>YVnNM)m>vj;SKn^QGA{=wmW|I;=9tn=DBoBwF^AZSAsiH zXWMs(O9*N+NOslJc`F@7nK5Z@*11GRWE_Ue#`)P34bwDF|~8 z?ZKM@_m{_tm)7FA5`wc&yJEce33!_7W@ysF;&OfmX(@SSG>hj6Aw8lxwMX29Czua>PDuT(+1_LRB?EEi}&`O+yB*oe?ZsKg7@{2I+h}Nd@m|BcP zpzLl9wi%8&vX+U#&WtM~%ha>4-iD{3LVxpP>tJDfPmk&R!No^j-;K%c!&1B-AdaZXZL zLQ>Z8j^_kqmb9{L2}1|S!CR?^iITfe^-Zr&Ub=T!*2O< zxc+o4XChW?j>Fq=k2ay?-vcO;?MG1%(UL$ERm162R7R(W(d$*kq|f%ww*M1cy(;vh zEa!%0QQkYy;gGGWgVNC?%~If8M8&k*BvpgMkwi5%x^_tdjba&1CplA_op`dU=lj^a zSj|CVcpE?q`Fz2JH-!0o(*>G^tb9w0^Wl>Ho4JfhrgtE&Dk3ye+(#EzCXr%M(6_rIy@4!%rgA3!sKi1dgSOUKrV-V@v9MyzG7v(TT|>shDHC@t;ZBwK&hI83lFJJOjF zX}JXY{$EwuX`AH|eyp>W63#*U)q(+oI@3}uy^QzI6D~AYmHm6_o8ISJb%Btr31R8W zC}}@_@DGofa(MBM};Qu{ankP9Hhp&*Wc>kz#n$ z)-I@FG$zyHd_m|MeTT&(ey6q1!}Di@F{ZOkH4WD{%U4BOZ+b{oM3!(SW}>a3PCssX zZ3En22)b+duS=dTHHb{6#7M{CsDRvDJ9w7rNwGuUg0DN_Ao;tji6DZP&U+lgA*yui zZ^7+R?pkt^WeeU>3GcC14?sQef=%c$)&kTA@)b%Q8B^9%8@g{hXh#i69BWWP-!g8oM&TSWOpAwD6rt4&>l?cCN-XCwKIJ(QRR$USVxUhvBGmZKx` zwZh*`wvwa-jHMmc!z&%q!}$4A8(7y>KkE3ROlOtQlLD>-E%ig{>zhHldIQ>UZl)(> z=u~PCyefiUyPLlB!w3LSkGA2a@^gHhQR1m=!PHp*c^jC34z@fA7i*Pr)eHP&qH>^t z5^3j8_@9R>h1Lss-I6cq(c1T~gNDpwjq*$g~hhV%# zSm?*kGTwidxD~%RgdYGSV?$8?lvTGhNp;-Ov*0VC!qZ_KEL^((U_9_lo44%lJ;2n+ z9?pDu1QXzL3%}jQT-J<#X0xE+)gL-sEN(t%!x_4zO5Vy&-f?vztMhRJfIORXlgKXu z#iH`|cyik@B^<+!=vqR_VH4}8jrlK7;M{J8!gjvqZ)W!ZAt2fyDjn{dJg9weGvBuk ze?|4bO5OGUG?JCa4z%izYo3IkY=kVpo?tCHlez2vp-Ty~A8oL#gMILjX)>Bg*9%OM z=#>l+#gItHFq1eDiBJ-{=u(v1mB*QH)sXzW(e~3Cf-s;vRaols6fFKqHzKP9H4@03 z-Ky(yFfaVB{U4~V$GRcge9BbVE-U+dmp=Yfq~YlX9&aw^oB$=ws|Kv+ zkcY#p{;}BXEXi2K@RR)_@}eDd%fJt6^6B;gk{<_&De5 zDITVq^|(r&&>6+6TK>f8>M#l2&5cK%Mrht+JOT3DEh`FG9R>L!hB-n7Ws1Z5jK(=? zVHlm!uFFD0JJsf>nzobM3QR_NTp5}M~5Q(E9A zRJaCBCdMKdapAA{F-a(P!MgIr{lg&PRa@DP5l-2nVEP>y&kXaD9oMUKxyeOS|%Q_!6{Vs z9)bS2fn)WkwIwphcS0NAIf_kIrzmY_%FgF0BW6YjGQQk5L{%(p!7to~cF~V+#dYus zzlW_qpY#ZfH>TUQJq$?@VeE*L%K35vMYW_UUZCWs%7ZGJ{#!b_q!~e_1R8e|uPbjk znM3fr>3r@V6su!8_$v4!T9IWj5I6IxoBqty*!$PhQk2E>pVHhcA8jYRZa_xkb=FJ{ z&6A?6@AgCc1EVWX%5@Gs^h!X&yGc7aFNmctNx6cMu=!TK@WOlfb9Y)+PQ;94hX)W` z9~G8K1y#m5OUv!Tec}EPfRY8hZtL_0h1v(nT{(DFsjqw{$k4@{axuzy z7B4gawM9k6--)71k|Z=6PGu4@YzkjYNW@o6@=sS_A00i1Yb&`OUDJv}Tbl3-LLU1s zwYF(fa_LiFnVAJ^W!&{6=~ugF1`lRxF*9|_fA1hzIN44)a?u?`c))ksqBL5KbOlV4CBl-~Uo*G>Hh-E_ozAy2M_Gvdn;563Ltqxyu`{RV)A_J{_ zVp+C7(W}lkrvdg(d=PGqQ(JWjm-Vr4dd@{E(Ts3%;-S$em5}FBu=lXbt9beeXtk5{ zvf8yx z@vXq}o?^}LYhs65wiJEuHvr>azgqW;1(jsv6RXc{Hc|Ic7u5~v}tYvIgcx>V> z9J+M=vo`;U&4M`zRYS-46Wtvt1yp8=d)Lrz$ISG4e-FQ&o##(+KlR0PM@aE0?g$^7 z>iwyEBqoiVZ_z9l+%H|ZReXprtKWfAh%LzQ>D6mS_$gyUaXLxEZd0=|3gN701EZ?ixtYpW2`)Zk(@yfOq*tigCgHdi9NYmGjp zNbBaTE(IocK5UehC$qnmGi$hoH3G{$!D6-G!ch=Tt?;KgiZYP z2yWj$cti^7%iDNg8>H5Fwo6a*WlI~w#Ey*-)-?H7Lws3nb+W%5_BE|OeDOfvwSuet zEG(|Ms3#>0^5yo$Z(nVtaF=+nZwl`y`X)GDd`IKYQjl@p(9o)gCiwpNAO{8ldaAtt z8B1O}(kovDEcRdC%mGiyU}OVPIcQMUTl5XuC5D$@+k93KN)N_R5ajq4TD~o%OcC50 zAkD^niD>DVvd+^enL^G*Mekpwc```^#j+;)J-9lnHGskVzg$jU{vux)SqWX(Mzo;v z$2wswypk=LR=BG1X3Q`hZOAQ``~G3|9LGEzrVIV;MU79m#zQdA=$fFaEgvee?N%PGWCE>FwsMa z*VUuTx-0w>&!*NjvCez`tiI!zO32R>xVxmEB$n|vg#||~$hB*IzgFF6j zgi3Xpu zdOmfqz3AqUk4;PeSI~unA^Q@iOn8rt;QROB!yB;_(cJmAwV94pTvNdz_%t;HO5N*_ z9XqCB2LA3VL(fSI_d0CSZyjrcr1town8qs5n=QUwNYdyQVl|#qwpT}$EADL6Yfo1> zY3?z8@s_|@0(AF`Ge2K)%n2R*Al~Gu^^#v(CCf>MW8*u=} zm8Ro{>{e7!I7e=s6Rw*GvIql8SI360qQ1_HeZtjG>v?UQr$-|la4e~DYehEtTpWFA z3t;^QeA1aJ7Y{u5r6rvf?wYFS$WkB3r-+f((L^t%oW%Zt&`yv*-VUy3audUn1{#Ab zb3IT&qIZI6Ye~_(Wo-V$71FmK#BM z@kC%WLrjoclv5t0I`E9hTBy{^2cV_rS8qy0D7zRd9rdR6}mS>DdJ zWjN^R%j*Bb!;X*BpGyd8efEWq1uyR4=|L`P8VtUb8w2=+i_-Gsunx#Bzpp) zbc6+5$S|#)CdfpvRkpvj-|DQ=dM@Po!qdt?D@E>DA?b<7B+|?itqsIwTsKPlF2iwE z=RgJrv|~58R?%%3MNRudtw)-aRkwQK=Zor*^W+D^rS4MKp7pxQt?!yYmy@7+n7 zfF%UC#Mm6`@{Y6e?V>*YsH>%!hm5&+{!^|hIku37%>+!}6Y^I7!RK9e6#e)a;2Ufug&+rb zaqVq}SMV^?@hgi{!7b|ItivRUJMT zp@-d)qqg=4}4&^yk-XwVmr<|Kp7#BP7S_bkrNNBa=nk4wgM-Ak#3IXRp!L`C||j29-*sM4vf z!t1tUk`82reVlC0P|Kq4-$eHP3FlX=vS$m2Yk`0&{XvS7cm?wANj68!1grE&mWUjfytZX| zjc;^n{W{Rg?FU+jumJDmxNQ3Ge8tFw0 zGlP<|0qq-4j7y*W=x=66HDoz0EFeHU0rS!LifmMt2ojGQWCbP7J<<3`$kO7te;ucM z8iyK(WdzH0Kvj=#f2<;{4i;}}lW6~U=tak`b$Q0yQr%xCs(C}0^m%x!2Q~lFB=d{;)W1SM6J^D-Y+YQ?+~9$ z#CK{!sFifV!tJiWVQzJ>vIMl{x7^q%w-hhh1Yfmsy4v{Lq|N%+khoLkhx;`W!k{FT zdGo13NvO{Q=37+|)0m81CHS5VKKvS-SzXeDG)-4HC&$}X>^ry}At#Cti@Rmv)e!Uf zsN<>7{M3gjpDsm|zdp()$gUPdM-J2T4r!#Fa`R#+hIh6p%}33P*_!b7MQ`|K^vbYR z*;+ZuRzNoHx2fKTg{*-}owwqaG!UK^51-;nwC!+@=?>)ky6`46$ZLuan-5hLPF^9& zlB?wBtV%7FEtoaD*iPajbA79-@wrz2$J5m5{_%olf86$3PZNT{o~LhqD~mApe}O!Q zGE2CMgOrNX=(z#Hd|fm_eO2!JJ8teXQ%`jCR>lHL?p_F$&;5y@enVr8mGhwKEbyMZO4uZFSLvo17kxIbeyaL8sIKX zGinEm%`Q-LgutO}Qg|fds#qWkYFG>wsHUd(ShpiuXD(QAF_6FdUx42X>**Wv9V-NP zwE`RMn>M$V2P@hNlzB61@rypdE-|#+tfz<73>LQra$A+TLdrg5;@bLGA`R;F1$_op zC2>q0=T40(d4t8m!@Vw54?XU9?84(#^8W3x8@&ZE$oiA=YDOi@{{tx2XXsdIS3}Nl z{IG(YGpx@!Zv@>IaTmHG`|7zFC6ky`XK8s_o@^{|3S0R*Pj1ejfE$6H0q*`6vh; zDV7J~g9WPeZ)gyZiyB&vXm!?behd+{QU8G#v!-Zq+|M=I`g`QQf)8Bgf8 z^cZFBJ+JY@;@CznnHC$B#uQkc&`RDJRWqAnDSjVE$H1PlL_@trAy_{SiJF^JHpQ#0 zJ3(Va1)|o=jeQW4iuO^T>Um81UW9ZTPYVMD5k_sWe7<`e)xf0xF5k|tQ{#<~lC5ZN zlCS`nQe~enqyA5hH{aHdL0Q%hg;cE!L}7WOD)4EFV2!SbZ-+4hTqT#;#?8yio!Pap zK{3$nyf{t32z>h?-~R|SvS!a*qO3y8z7P3DiflCF9GKMgLpCOm7bc#d^P01R!Koa} zYT}dxnk_y2uj!&Jfb%~QUD6g%MWJoMNPYzxL9JD5nVLP{^?BsnSD5aOZQ|D&Tv_es zn80ZOdpy!?{FZyMQ{ir4+AB0yBq2k}wAB$#MAt4lvph90p|t__GiAFHD|>OK3l^q# ze3j{VN6wM`jzm6ls;mJKp|5pT<-8J*#Vh8yZ;ss$v7EN7j2JZ5qsNh}m*nK7Vhi%T zgVfl8Oq61>I3Llg+4;8%4u35=$O0Ul2aYp^deJtjMIoP>oh})gdnc6mS)}!OEB3(w zxT+d9R!_ew^ks)Tm(pekhcwP3BE*#|WeU^Kj?Qh_%l`sQ)mrwqTK|vu3-1vjEOX*W zqU?s?oRvZ=2e~Z=NbIVpbPIjR=MwG_V3CWxd1YVJOoz+3uru4ywLc(S`O)K_E;Sl$ z=NI3`Ys(}>Uu}{bs|mH>&j`4pvCNR#{2i0ILL zr_jgUwY#}FT7!+N9noGmC*+hZm0q9H$2(l(EV;20LQELCFaTh%01|F80W1BMY|N;b%XlU5 zMO4P-D7JpjM4Y5W#i&6YWxFPbjS4__Y3i=yEy2uLY?^YQoIDTjWJr3QH}SM)0!|=!~UGJv<4JK1DAo*75B;#|Vs|Tvuy=S9L_R z0d3W6LJ8W76t@ZkzkNQ4)ghB?-3nJu>1jO72Mklrz(-46lT_%&M9wZoAM`(^$vk&{&{VKRiQc zOue1rQ{We`o%H9ceB*kJvk7u^7U}Y=l)K<=LPDfrPh6mRC1-{VAa3c6SAq~7w)v6O zzPqFACb&2zaHqR)898Z?Hvzz^Px=n=09xSakr}1i=drQd@uRZG2|4MVH*mM1xHyMm+EEyCwF|OTNiD__9u+RfBg5Juf;_X@_0S|0vV)=(LURk-HY~Y0mG`9KxY-6a)y~Z9to6K;%!!;J z;~+ZPo@6OXr9OnHeA98d$mt&UOkeTsyR5Yi?hwCvUv5oLeKeMc>PJznf!f?VSBWjHk>4XSD;bzjM2`Xi4r6M zaq!o~ot(rMEqIk3a+c%;xT#{=c5v=+a}T9;Mz)ZIh;SHbPtQ$s`~}I~VAYSF5oXBK zlj*Zf?=r8xBj%DL(#_G3mz6hvFP6}^;h*Oqc6^j#+AVe3YHMZOwIAfRawRW30Vv^C zMP_UU=D=Idn5x3@1r+=}tMSDSf>#8dqIu7O{ESTgdq)7a^Z`PrBGc=SOVW|yqY~`x z!!JCUJwJJ=Ie9D!D=#gfPl4X8OQp5B=I~)RP%9# z4X2h^xUskOC~p}xcDPR#m2Ln;ua4>7i6A{TJ~C4^FfpQW4ow%Ogw@>B zgH_w*N+5GY_Z6}Fn4umgAuXr}5PPuE)Ew<{btscUxAR6Svds}(&8Sn3Z%i5LsChFF zr!8E%Xir2E+QFS_yLXvn9~xi9J*wL^gY)h=6UeaZxp^AUR|!pJMLKVt0@>WevteR$ zG2VN`!cIju5ZG5=cPGzX=Cbv%R4*O)z_p&08r1pMq^{cD_n0U;!yBEiMhVs>5Hfw| zPKB{<)si2=K{wHSp@z2ZS6+Ic$GKo?Y4XizT9}?zMCE&(x`-psAiTH=L}{Uf&4JeVAf~ zkkc881Ye>W+sf2C2=r)N}{u9t+BY*gdO?qo@122>GaM`D z^7o`2qB;<3@6TdsuiW1xG>aXoYgujBT&f@Ny$ARTa2&pcKgi`=sTSy4Mv1LTWVIAH z8a=E?PwIEcMbx}`s!EVG+$Q~SyXE|$7oXc4Hvs=+4B-hPYwwR1+xbI5*U>ZhJrhe* zcX{)Nyq-8m9NKycn7eWdLQQ0C1}!v^v*f#J_BtVbp?D|`m3NGDcMGq2%c5YHGx>M| z84)r-+HRw#2T}q{o>L153Tr-FDtvPCLB3;gl(9FIa_?Qi`YxzLN+!CzzlW?>cmcb+zm?+Hr53GD-;g!dE6_M>#Xi>^frgPnIBHIFKw?57U=i#4!oMr58+U zW767|rNxI1h7kWv@*&OzX^PL=EMNazSO99hSr1YIJ^N?m?1vpTlfP$wLx+tqM9=X9 zj+cU!AM16~`V?Cv6a=%ewTSJG#LEO$1}%2yk+xE}xpN!feKhS#)L16HfP0e?HPrI1 z(KvNQo%{+sj5A3Hwu#HZJ>u8(ud$U5r|K8?{4Y0az6v)&Clv21Ya)NepXm`P3K7fFWyq9dlha;|H1`Y zAia*BH&39{*NsfO`u&Zf%!#_~jJ{5R4rhp#%^W|5b(Af*NQRwgdU%7J!>{LT0^E(B znNgdms#xxE<2xo8l2A@dbF7mb=550>aUH?l?B59-4as{Zu*N&7%G^r4zgxQ}wNbH( z*jQ_?w%`p?uAj^bQCE`Kzd}1k>rv?FTJ5EL{ZJ*zN(D2!ov|WcQ=vcq`5>P_R8q^e zrRibCVY!OZDq5DvFVnt)rWGp@uNngIIe}@FKnL7;R@>dafYxCe*8}P_oTl2;oc4gt zYl~Ea5}~69#&$YO_VQuBOW=kUP{7z13JNeSO63EpXpyyT+$A5ir0RdaI-*3}+xgG) zu5B1gKUb%I6T0fB}DeO@|-swp~*~l@h>;9>ujX2*Y`D0;G zJzXn&fo>?6@=0oSn4!AkC1q&?E9~rd1g0%{5h91!5kv*fP%>;N*gaIP8rS(Nf8dsHGyn@;AD*4*aWX&%3(uJ11GG@Ih2u^Bq<-AE4DGF7B2qx zxhM|d>h>J28XkJyy-xLh;aZ^3hUqzRUyBgYoM2C7&OAK%05lxf4jK+e>$U!C!qRc) zb{9MnQua7eDZ7GaUJ71qMnQF&e04TBrNP738GWC2wN-B;fZ0T@>g3{teh~q7Sc7Hs z-5&9=!^BS_k-$i9rEdP~xSpT4r&kw~t|%%I%V$bwNMn`#WxMp=Qtk%8TONEUV_DT^ zjl|EJk?iSX?ZJ-yJ!Qavf~||~cm5$gjBdVoW!iikk*Oa7mRP_$HSMacRVT*s5lgf~ zF_`~5yh`Q{fWQ#asS&^UgM6$ZTsG|- z!N1(d`ZRLR0B4<+||F+!9eF4s~C5^8P7=K)g_guu5G?)_>06y)Gk zL+lef5ZhSmpCK?`jk051-5ri=0$b8>@j@}~I!iYg#lalo zUHBe3%z+n>$ms`~htCF=L=*HxO^R@JMxFW_#b66p@%>K7T1{}9j;q2GH8;4+1;Uy8 z2lQZXT_D_bcuLfBeJ9>?!BSv4Eh?QK^@0P4+h^#cN}QLI?G=#ci9q%ASW6KT%BnDmJ>YF3PIU;Z_UQ{>;ZCq-BqtxHfetzBmnrTPBZ7j9 zrP2*r_FPp+TNMAfo^GOti${pW>vY=vX-_}iLKhj{xN;}7{H&vrCtwh9Ie(-~ui{jE ze34afcr%NJVpS@k5q{I&hyKv2{Z1X0V14KO{83?09umJku>+nA(Jap3L*otdQE z#xx*$$$!qx@L8D^J1zwWQblE_-~~w(_RVG?Sjj5>Sv>j|Fc(;nG^X3(G}AuPo}(r#^O)=YT?qd8H2(=Hq1gJ=|_ z>cF=TQgY;x$CM{y>pi;BqKw2{DPv)oD7jGqF?*BC3Uk;g&v95uoRYvDB6YzV#jlQ5 z(QfgIP93d2pSxMEn!vj!@=S{1Bl7i=@QK#LtQ-m==tZ%mn|Pf~|1Flv1eVei4PVtm z@gR|Iqp`b2nOuZJ2Vg|;8GEPY&P2>b+I$`bh9QD0NOj{}L<{VW^<0*rR3YWdHgKo5l6R=voxX8b${6B?kJ?nD zh=PTrOv}hxHZU|1E)8!Xv74q#_xjpoMcl{u!Rwn@JQaCJ$#pmF7hk)i7)C*(=nd$i zG|627#Xy#vQ|Jx`<5f1;&3jB%eTsh7r#BB=(jt*bM>TAnG$A~Z(nUxZteo~|S}Z0c z8&fW~{0-1NXZ{rUHRwLqpp2@iiVX8*w%J1MzpO01g*SeIF0C2ipzQ^ink(qRN&>PI zuW>tE3|TM9Y+%!`@r9mcLU$G>08Cvl7ezy5!w{CyB6}B7U489Jwi{0#sup|_%@>-7 z%OV}@rJ~cchORE<-C7^K840g%L)?27x9L`@8&`?OscyqXnPw+}86Vz|hfX(i*T%`B zx}1Ugl#hd`W+k+OuGG2d$fQZrZUv&$E_@Ks!7F*Oi8NAm^Sq)hXq;fWo2e$!((pqQ ziMH?!B1<~tt)Flj5!Fu@6pDL>>o%7sCFt9GmZmnp*-wefzcGrHl4N@a9PypdybOHj^D8)5|ZW5#PTS2&6TvwofSYK z4D$r%q%vN1%U?I8S!>RXNPAuiWvJhw1f-uS2TQ-vf# zH@V}0La6tyw?`~aR3lP7F_u5tZrr$~L+0p3eDpRO!Mg=8r67alYlNIHt>z=j)#`r~ zo?`G$VPJs989#nD@>Rsh;~ft}who<(+KOc5Zeyev<%t zNAB0yv{y;V=guTVa&Ri^N0BUi>_n zxl4cL=4a!z2{dIV#O&-(%E^t2KYFS%03z|M5e|kqSBycffqm&=%Ha546PMpITrQM% zkt-T;y|$KSz9(-{G0kp<4DZc#LKLwy&{o4|P-Ab_S38#fjR*x+zF_ShK}R|VHAXqh zA_82<@d$EP`+82QsgWs$}e~C~s4j@`0571DZ_Fi;?&9AveZ=jV5^QAQFkheIP5-)rSCJ3iMf930Npk zl<-E%Bs~8KT)-Mi3`@X_JJrUeB+wy}pBq*smt^qr!#D*Iaq%)lMQjk9n`sN(Iy4}l z5Nv1h>+j)LM5#*o%T4)$*joLhO%A_BFxTVkKh+_rGB)jD!jdaRE$@Jp@vd&fD@@p= zxR#x5Ho@IMb+Oz{s7I8m-U9JtM+(PwCL}zHQ@cZ%e|zHoeELSTuRn%)T}@!+w(TM( z^4}lgm~HZvhAY#K>rCuXlac2|bZ5cT1o=c_9=wR8s9XyzmJP&6iDQK}j3I4C7qKwu za|vG&M({&%!9-#L@e1r*AOyxo_28ZHn8EQ?Q%~9gD3E?);NOO3{~f)I!?VW{ixX6N;^xuK6esXi;{B%H}QiVP|1tu8y{va zzC{eBFmsfEqnW@w6QMj6>A-JFG2A5Tr7>G;oNw9skVk0O zb@iOExbvVcZ${En)JV7@v>T^aYyFK(rQ_oEJKWG3*5P|GoCt%O5G$;N4f;eseyC%- z=WPx>vj@LNKmm_N1TvPGdTQ*wWDL4=?@{_XZwCsjj>Hd6p{bQaa%;S*bC$t4xbnz* zN@<$)etLdaB)0eyv3{{5#(pyPu*OqjE^L~%z__unGaNCr9XEw#9kmqV zfObsv=-fZEiLZ;UZ-idT`bRsG`HO&1JGAU^9p#o|9qBmu<^g5r zhpOqxL~nQ{VpxH+0N&aPrMF@u-{_%BX*#Mrv59x_w`lg;qLsIwZ{}D13bu$G>m5bx zOpkx`pmKVSYPsJ;n9IUo=gB9gDCs)|zCW=(MSGi~2-RtVS*Lq!)+ulL4HLv#*u|=z ztiGhwp{-L?>&1Mx8 zG6l#MD?iXMibxTwgei_7Ya&k^p-L`lNKO9VNbmNdV7UKMWGD7$)B^E4UOI(J$xLIEl5NN0!E{{5!GC_0qN! zG1IXw9#{SeF%zQa@2OMFj(==4Aax{Y!il{+&2Ael9q&Jh%~K$O#Kydl+hUo3Ep}mNF@7rX%7M{CSd#7mn z1UlWMe!ji*@P+kX%jeW$=?%!4O^fAV80Il({gK?-FJS*mZmWEAU*G5QF(4{Fx3A~D zOTpN$%+8K9r5*l-q1*jX7kcOy>pA^v4<`oJ9zpnJK^z?nrGbaHs&;)P(l4DUMe0^z zmC61wyq_gv6deq)WI-I>4vzQ*3ZAEgH+Dyf`_6C))%U^!gn^GWy7@_}PhWS_xa9rO z(+wT`MqutDw2*h&M(g8fAmyL!Ba}@z7doR-Hdqd?UtH&IsX^*1J2-~(2S?j?w2(Fl zR%8dNxK$E$pGs>Z$aa59_m2o(9ivQd5)Vq8@u4Ed@4M5(ZBi~`8l&kj~2iBU{d0J2K#mh+M$($A+@JclWdTl zN0xP9wp-SR`|v~Asny}!vw5X`?={qojF%c$K5_X*3&OD<)FM^MvYZF`V?QCP zXFG*O*W5z%U%BPZ(*E=6D!8g0PK0R^6z0!4J`A09vVrt4xW4(s^?_Oa#bQO8psUqFi$w7!Sp%2V@HP6!Sb9c1MOKw;@ex05 zD}1Fml|yPU$n$gu6jT{{pP=o1#W9c?}~tghR2ugKS=DN55; z(P@0yahc3rWPb2s)SpEQ`O!-jIU4{r307?gloJ=E+xa#CZqx`NU7h6l6HOjG0H zyNp=P+9^SqBZgBmBI^pJ#3;zm9!$g93z)s3bY$Nkz8{1%7;i~;WwfG<@LXbbb-phj zw*E&j=S>czM2H>HpyLMjTXn^mj%aTw;3mG$`D`9;BD#?~Zx;BvfGpa&euwnGRdUN& zfgSBD3meDqQV->BL4pN9u0T(yuaN0%rV$imY7*`V-T2b3`Y#c?J9!V(_8dT(=+fVz z=Qx;j2gSMpdif6PQ;=~yll}y1OWA~TToG6huUd&Xvhmf5=qLqgPDk+Lran&54=KnQ zJK#loGP_x8NBoZyRNp@$?G#MSN^d%mKbSg#w~C5-U{3{7xPB8>b;fLE%K84q^9QGw zaE}s8h@gwG+-sC}A~rB13#1g~dEQ`31%bVm?6wXkebxF9n99hTUqT!qHZaz?!0D_~ zaAj%fk{0|N0UfK+dQJf~a0-iy!{jQ~iIM!d7f7|9t|*1tqYmYPhpTpXM91}0Z&vko z{6^PPn+42KZ0oYisqTynZ0CpkWJ@q!^Mr{$OFv(7FvR@~$626}BH}n*RUd^l&_xID z3T;Tk1po3PwS^v~8zIC%&*~`XxqmiorA}!8Wn|Qd;rQ95(osSHp;Qz1>_ofr-T3&W zovf?&t^3}MzCUg|gvcECU&|e-;eO_l4Ve3+1s4*nSum#N9yILh9h}Xmx2m zjW$Ko#Dfg_E5$UzTn9GOgJ>OvZsaovt8to!kp@Y~f#)&0TkkT!8%PMqJxL5`i6yF2 zaU)MW>ru6wrHeO42cTWG9=7>GPio0i16Jcf4ESLJV;Iy!OEzLJJdbqi7ek2>HF?Nn zPuNvsR1r!x?Aray-EYWKM={-ZH7mrv|NE!kiu-R9hd37d`K61m$=?q}Lc#Jb>2`v* zxaIL&&_*%R2-u}0n)KnJ701TgDAkcdB=1Z6ROq~SU`B46&|)VE82Q@y!=Zvzqt2HG z^>>5)yuFptKZ*W7OJ^UJ^u7Q8vvsO1m!5N0S$V_RI^CEltIfPiSnD)Ty3#an0)&<8 zSdx;GcigU;d6r9RskBO|49yhL5)c)bxukT8x8S^iOc4`FVk17#Bt(!cprPR28`O zr6WY<62A7@=3wMR1qe?S*1l;76p2x_MwjDcHV1`JDS#C-h;o(1U4x?*ZC_Z{*8jvL zq|PrZwH$wx9NYq6eBKdF^m=lNz#PB{Tu}%(Tgxc(aBl_|^O6f5%0Ny|CK0MUbuo)s%zgY!WO9+?&QvuP6HI zw${!;NAH!t_(Bn5rC@<3h;1mz3|g0{HVJ^O+xmnDCcyD&d=s~vw?$xqrm7P-(#?4D z$4FTh%Fw}{JXY%^5&*4KTVb&9IT`;lf#?U}0z2a$tLm~PZQc-RJrY@hWeG7|{&z=D zL~tghq>EW)(q|92_Z*19=i=DO{{FlQL(|(!#lMZ@i6f{DMd+?H0Y%)QMav|_G^o!- z)}gED5jrqH#95DgTLKM7=Z3*O1YK1*j>t#S6_L?M6IiGO{Xm+R;5FMF7P-SjNWh&} zic$lpAp18b;Hwi)J0pMr+|Dkl#_W=|T` zAom7O5B+hYf}6$1suPer3{sZtJN3*NKly9?h*CO{=~*8jczAGm7Zj`HbVyDm>XA?~ zE;WSJ@k@+lXwbM9yN8AGOM<`dmc=wWga=ctIjq`AX+%!VvUrRVl;c$yXMHWGYixux zqInpPz~^58U95B(q?J8PUfc;SSe}s=0+Bui6|RId=%2$ZDp1?WD?!G8ai{5-gGY6a zQ54vz`sb3N?b6N{fr-^{U(&_Rf-YW;V=efPlj?eJ(|2pZXn<8ZN_a4MDsfUVDY0HH z394qb%?j@UA=NXueskD&dkHEK?Y!s4ny)dMDPCNExJHQxg(Ui6=E>3V4PTT~0ej(A zs1VHj`5>r|JUnm5#tyLaPA-xar=WjUr^Jby6>>RtwxD@R00%7x}+HMARUOTQ2zc%8A2(O~l$ z{dbLJyhh<8v;Bdp@~oAh2fn z5xjDMhlF_-p^F?9kC3X)*2%*H1l3fi-HvLxnA#i*-sj~Y?gzRY&D*8X)pE>jp^j>&lc473V^be_-$VS)Htc8#%n!P-Ab zp3nR5v$D^I*hzaSSQe~FiV5UAh*bXk5@Fpz7q(=h#=3GZ2p&X^D&uYbt7->rjh-@n z$#9KHSQ!*ax~cOf`~c&gA|{OZOmLu7f)Hkw;O7JlKt*WbdUAl6&rTTRR@7=f2lXVP z1;qCzhik%yMxt;5b^*6Q@YooV-#+ob342x4K4Z#HWKnh);Um0#2Yvtmjrtum4FsgG z3}t4Ov1QV(!OM{qIbobr)G{Ond%Hz0Tf#(Ol8_j@9#8}Xv}8e>RriGfEkx)szF;t2 zv9XpFxO{_ElH$YNyIzy=7pxYdS^St~{{UUMZ>|m)AxD! zAsmbH+4Ygh_?k@B^TJAQAycyfZ@-7P{}HQ)9u+S^CU@AvjN@BNm-wYRruxLIQw}h! z8Ljh-3I{w2uH){gqS0uU?0;Cy=)Z@KL+BFk=}rxDJz620!&uR^_P#Z(_Kp1FX;$i|9Rf9PWh_VYTej zH&8Yj6K)a!u0o9RauDnT%=$k9m$xV$c=)>)RFp$-X#~Ne9MDFC3jPty0r%qDqB-yW zhY&+@Lo+YFCoj^Uz0g`zVkFjN{30Duk2KZxXEZ09*<_sB>MHgGlY-HaphTDWNjs8l zGQ?2C!rqX&C!1>*fZ48wIg_tIuZ(Ty!u-KjZooHF>++@q<2P8ONb|}${Y)66e5S3! zdhzc2!dj)xePbq&J>Smh5TT{;T2O~ zk>$mHl4sOo4&%|L+EVde4EPAQUE(`}Wxkf{0eM!-+krD-Fv-2~nM;Nr#wO(>jARv{G=D^DfQyrF{^nH-A4D7A-=(j#hCM975HB2xTJ<*g z199|u+{G-9&6O0)TXN_&2XeX$tp){x=*ghYLjs})?fQGp3$3F2(|L- z8e>T{Wr(kRTr5gg=kRU+#M(QUwkLS~FZY2zg#QhI;-j-1BaXEP-U%ZG~jAkw+fvKg*v*^K$V4P{|#;ZpRnfm1X4G4YTy$y(}7K5ERLnaM} zrmBaCui`u5)6mn;RMOHY-_U=O;Km1`3f2fjy7DHURod0?5msCv_%$^Te^bO1;>sNI z=m@u2PI;yp!Z$Wo&&16W+fTudscn(u1VZ`gd+0P_>Z8pH*67I##i>=1Dw62?=6|wl6j8xx4vEuXRN>+M1G2L#>*iw0gARC%$?5Mhya6z%9k$v`q&i*zJfu>NG_* zYMb11O(4~wyOLb|6>04RJ3_?{Or)jY8?VT$FD3}Nj7xd4D-z#x^*Ma4z$R$Z)VL+G zs-&9B9H0tv16HvThG&d4ft}l7N^@v8guk?IU#f_b{At1C&4&_6d4o~>0lZ>vIm zfeQ%z)++XN#Z_?{0`gSoaPBme#c~?tFoKG@msAd^H!Vr>#Y2WGXeI8Zj>R#dSLW6V zEN8^^GW$s|zNpx^{M^46JN6asQZW5WSK7APZn1Y&!Y-$jbo^+#gLs;~QU5{;^;$!q zM`@ex#Vi^HuO0vVwsLkZsBJ6JlAIeN6rU zes=KvtRPQiFA|PSrLN+SDsn{E17NJB&np8@*kMNNunENNb}FhZUu!MDv(_u86$oo~ z(7wk!%JX7{bTS2(nQi!SKbW>SPZy%C;ZPF&-3$5>?F`Evy?vEKhBnW8`J2*`)9nP} zc^A6qc&=dZ)u}v?YaeW$iysxE@=hn2xE+$M1S95jxK5d4C3!8!^f1pWW%X#N)O>#f zh!bfp@xwfb^!E5J5f{a@MI%dcu!d&Xc`sHcF2M2Zay0TU!G_ z#5U<7i~1-0?ypiaHlITg^e^>AuwtPds(g<$#Bk6K3qpfnG9)cwU%V+K~=y z$TaAiwX~=?4}TS`fkV)nCy&jYb6g54{dLrI=cz#P_pAQgXB^{x zlV>R^!;9HD+N|L9h_)caJCzhFh_7#tpPE~|p#PR*i`4X`=7C~MwZ9mI<+F+s_;aOv z^KlL&^N($OV8$H1W?Ti;NjnEp72$Q{?R*nEXqCJ~KlC57w!?N8uO8IJ>TZ%DK=?!z zRxWL9D3xU0)o{M>2U*T6Uu*JwF7F_Num0)g`f3w?^h~V&MS9MM zsTwOwtLZnMDPgl7$;|DkR?SX$__nF#9VMMOA4Ip9Gj(#-${|P*p`n4PU3qo3Om%p2 z;xk!@XOVHw5F>Nc&H`{O@r&DCm}09H#5r=N`yrWXHA@Nkluii=5H#qfXWInBQ9i2? zNWZY=K!a5HRie^2Uuub~GnS6j?_wiBx^QQ2s=fW0XsE%}KSdn%?GTR9HIKB&!7VC1 zoGN03x~8zaP_uR>r6hiM14QtfBymvzVr*)lG&!%9P(Itt93|qGUgwWZayADewm}Ht z>Ls8@$?Yg)66W%p2QrN+?HuZaG;cQ4VNSCHH8#%mEHfC{_#lk28cXAl0a+m>OrTYI z`AU}ICX2(9cMXI(v7mbiqsHFGt8Bta=%x;qn7i3;Vnu zqATqq=`^IEVtuX?q@S1edZ|P*^NxJ9dCTwPw8TzV6bSh`sz$b9y8=ut%z&WcfoJJTH2Ldbg!qTBKtd9#xy^1gbVCasbDK_Z$zD zS&M{ccFsS(?BoKwEv7yO}!Hfez9C+Tz($cgx21DUo&}cb0SAXl*l58&tDcK zV=lE2ku&2?LBiY+`)3z{Hs!@xhD=@%v)4Y75yFx7MX)5L7P3$6tUbQNMf`n?y$9jh zeQNF~l{dY6_Gmisnyj#Wzn4JVRear;8xK-VUQ(kHVKWCEd`QooLH$`ec|~X?cAPz2 zgYsI_>R8?=E39mr4f)0w*ctteDuWb`=++2;GC#nsZQOC#zlE6Y)UXsFPUH-)2?Do5 zpKGK_AvgFI9B-lk4_)nj?zFFo5XB1W1&*i$AbOID-V^*pi)>gOf#APA4w>628awY5 zC`VAFb6_lqz;HptsgwjNXHoDl)~X&VKc9qQsj69EPHc4EU< zh8*Y{&>Ce~;fS*S(?DO+;8!(95AmVI+f*NsbJ)r<8ki)>abBsng5W?R9s8~PFKP|p zR{|&<+i-|z6g=xo+#TNp?_PdJeCJ_su{Rf88u?*v?AjnA$1=N+uCT%Wd< z)q!X8LV&BKOU@KD2=4)J^5+-F;ZxZ&2b#t%wjsh2CsX#;b_Dhe z0olPL*)iB4QoS5oS>Det=DL*DrBtq7#ax*kv@cI=YnD<{ssO2gr zYY=5Vjg`gQW+NxxmvuDw9i0zq95YW(@5nhc&~NLIcX_!rEen`B`iZK`LTLwo6JcTi zOcmW~CU3?GBa+$56K&0hGSzut6yq6TY>&zQ4x2bBxuH0#wz3A2fK#xs1Fbwcg85?u z-gNjIFq!~4{Xt!%9)qZh`QnuhMTybT?Bso-O;l_bFW!MyV4A(pFsX?AlB~TNb4dA3 z^k`pyMs8|zG8I#Z(r5cmp(PJOb*!UUbFk%Q|6*H1)L=S9(A_2NLtxZvBaLNDpit_F z1tp7Zx7XuGGjNtyG0yIO1)j>=Jjb+2yVT3fiuHi#Akc)yPu&H*Z^HjZwCqMWkGIT- zgzQV27Z?hvfwTVNanWp-Ve%ys2&Zr-Wru~=$1V@^WUWkluJA4=@`5$ z4Fvo4qEqS~)N+Uglh>Yd=Fx;CCY>U6VGyrvws(w%dl`1Aq?&%t}i zmXxmxIoatK5`Vm-cf7q6w0vDI7D#QpWqqSR0H_=)|1Dm7+LzKGs5mut)(?0>F)c;o zR!c$h_gy(&sjoCa+_h{~Nc~=wyrY1*cnHsE7a!C` zfz&7)I_W^IB;bR%Yh)?Q`BLLhh*R*Zat;Jw!T_y!!v1O(fhOAEEDuGeLKhRNO{wIR zb0pxT^J_%Q>VL*n+mQ4Wf1Bs0;j{%{4mA{TGLkt~aveT(dfo(*SI5U`&r8UgA}3>N z|Jdy+E}gLNgD&rq#4l^)Q(&N4nVf3F`-F+Ou$F_27^@Jg3!f#UXVSd)3DBG`L}0({ z4#onrCIQEH)dqyy#{Cp*JkR7i1#GCPGsm~7b@tb14_K>?(s9>rEi}<1rPONWQ?5#l z6S)Tw;{E9?7;E+d@(vz5cf6c<6YB~t5vyHkznFNNwiy^)ckXi~w_lR|EW4ah~ z8rjpAgGtl!|G_a?_jM~8+;WM-yOt01;5IX7)4mbijfhqE9H;s-l65y1IgJmnib#9; zyPS`(ljHcVKoWYdn4gJ!rec*a+P5HN7`2V}PB9)@JD8kC>>r){0zg$*$8)r{Lq;9( zu*Sj70Zp0YtGdPKmtp*YH#bq)r+whfS+z-ErdwbDa9gv&qgCih{DDUdcgbxT4FuMI zS8@ErxTZj zX30+}JGsT*^t`@V#Lsdtdt1unM8QQe=3)EEkKVd)6ltC0iST}>cntVn{FQ)k3>+FG zuG1g@Dj3svgOI;teorA_x}x7|1+Eb+Vy<(~HKzWD_ARZ{!B_Gw@OZY8r>=B0xN`kf zEc$Akx1&DWv++O?0t9r&U^&0H$wyv+yv5xD^ayC`0R)bt*$k7gkEHY2`7-3`xirPJ zv{Su!b4}(SN+ccdTuuDBxOvu@G$Ff$0%r1qZSjU-0f#OaCC7KF^?BZNM=40(6gI&3 z4z`ck_g1SKM96S9iFQWq_?I|ja2|p;S#JW50;9ns?XapwBnRVM@uJAZ7XS-t{A}5N zDwwTInbqNyqAmCV-huMc?YPt~>OSYlFfxyKgSAra$?d}uXG(BlSab~;@rzCXF9oaD zbX`u(;s@BS7lS9#IlA8>sNA#k6Gv+-U_Rt{za|l@Q~6^ww#cf{y^PO9Qc5|%T%6pF z^hxm{15a>}CkP8pI#!MHg5jh;+q)o=<8lz;Wq;G}pp&o2aS}nzG67d%e6Q7FJ|!}b zw>sX!~P|J7GSO7uyXHR((J$VKsbmepx@7=O>$U8WV1E^2)UT6mSAxA-A4-?J! zHkpg+(NM^@TKf-37F_%nwj!-f>lS_@m%RKQdv`%HtW^=@c_G(%$?#WGa`3(i4jH`x zIE-<__s77Hc*K5|zqE~ro7F`sBmwirc&Cp6;TY4V%!SevW!I}GkNMf#BM$uld|Yyi zJ>F9AYp3w`2M_qGl5x|lJ^3^tR@*#gf5ABfo;JtZ z$)d??3(KEv^kxf=7cb$tON#C=Krm|tT=?U--{n49#YK+ec8k~PaHws0K4&-*^gEin z>uV?-phn5px57GqRgM4y-^E`wZ3kN^;8UfD*EfK66p2FVGINOa`%p#JtFj#M{DNRl zD;30m87kisZF9Qhkhb&(xPw;b^Np|M(=qXeSX$#TLUDpOVlKc;@6__1f9Qb(*D`ZcI(~ zxgocB3uv>aEY?8<{c*`yrb^be@@*W2^=%m(WRnv^Fv{z+kIC(+c9ya$m7m&%FtZjv z-z-=H0BB|EtAdgxlWR?8Bj6IbH73si^uB{m025l~SzHB-r zj5Xi4*kgp#(j#h{sxw1Nj0LD=T}&`k%ZLY&U=i=@>J0xtLPVl$vX&ulpEtU7qGymKj+1qc4LbV?$Ki2#3}d#Nfxp{HPb(F;9A5G z)dy^sG7o*ofOFT_gjlm)C}*@9&{&!Vk@Sv((* z11P|VFp~h@g$MMzwbGU69kk@{O9%}iCk9_i-?afxYT|XN@$_gBh;4{lq!b!jdnIPU zaoc3&EI0s6#Vk0=A=>o!>*qX>@2}mlL$#p5X#|hz-DqgXcf373dhfYfW(`Z z9St7|=q))8aFdM&)()%WMcj>SOt{-Z_6R`FGDaa?w~*<0)7nI%E}azyoC@IaKeHJo zhkZyF3!@3}*?tp!J{<8(Qa3Is>5>E*b$sQ??N}3?Z|_^byq6{@1!1t_YbEBEIEtWR zId~8L3>kiV@>rvsF=f8E2I=PnsS;lTi-tCP17UOL42#4uB>@{ONCIz;upY&}V*hT8 zRV^Kn98XCL{ZNEKx?;6`6ZPN6OoFtt5U`?@Df27OOGT*3(*QnmjcHS!fEw-nq$*0F z5qOs0YJLOnxWSdLRdMtr-5yqW>4_>1d?!g{47q2bwF3GF7GP!ulC0%_u7;%(`d=!- z6JM}1E4c76dv(^^rNnjgQSO9Mb7{DJr0F&Q?!6selWAV8s!Skybs{XxB|R9gS9sRa zkj&^*dusrJC5ZvlE}oP?sm{I2UzBhR4^fMO{FS89qRRQ*cMF-Bk~l}TD0JkdMto+Q z97bb2!|F{L9FC}G^<;*WgY_Ij;w)UzY#;YUbP2K?t_9}|BXI6^ z#r$e+M>p~~j$|7NDy^QR&gRX-uE$utJ3f<9Pwg$ba3PPrgbD4b%|?~bh*6*BSkv;Q z85d&D>?|6%hmxLEw@&4TkUZtPB6Jnwdu!jcZHFVTbPY}X?_>++q5vW-imEP2*InW_ zwn?S5+F^51+OPJlfE!n{uvohfCDil+%#Jh=L9h9O`&<~j8EfAVDOrPX(HKA9MXwe? zyLs-Q)jqXPn*e0p0O#SljB{xYj^>Qk8o58mle@(|VK1XU<2vZjMqFi;cOn8;&qZi3 zRXNJ7_D$2J$@|J0RIHv9J|L4~_f8kx0gUqeKkve+0@{mnXO2?@Gi#)`yU^#?`q~f^ zN4~uY(Ja`#&P`Lbm2UPQ^OEG32aSPJOG&o%{?9rI&;p}03=7R+CN&brj%OF$HY5edv0=@z7mjk z@s(RYmZVG^o9PF}PG>|{OO~~3r&y{ypO3blyO5}Yx`SB;=TdOkkF3}2&&a(Vs1s3V zeV4W(Q+RS}?c93q7PfrU@h-+{jCjQ=cGMk==&HyPH6A$e6X!g<)h*AMmMaw7Wf3GA14Uuk5762$FHUR9y!)`T&lh7ySTGx zcVDxd+YkRMbJAS}sw-z|Bm~yi+4SFYxJ?2@pEpz zlL=65mLE_F(S3zBtQLPEY~J6C3fQ>-Rio+0nvVgBJ&dScUj*pjzR=n?16tZ4^Rz?$ z%zlO`TpRyRQoGO>THDDg^~TJ$Ant}@2Fo!Z4Q>MEBfb99C|}Y~k7P~DV^4P$fU%G7 zg5~sjx1di!mqCc3cX|{1&I>nwAK*UJxu&f6UZ$ zr?%8rn*8$hra5rq>nf+Q0%2~TH(;a11LWz;6 zHCM!uo^!G{J$8pxJq{H7h7j_>;VW0=oekL!F!vbAjF~jY({VWBkt}l+gel(8o zy=?dpM{^B_pC88{!7*E4kGC1<#nSo?T2`(n@pO}?XV|Z!)f)}mo(EXC$e4)?j`}2_ zwW`7&1s17fO+BpVvRv0OXF0x_LO{T~G*8%Z+cV!(b6Sxqh6mC|65qLh9h}iNG2<>U z0`lZIcvDm?Y`Gjb$7v94TG_F;R>|u2nH;hY97EJMFUm1|FCU#8(NAM(v613@)Z!_Y zrsY(aGJ*#p9*=<$h1@m@`sm>h(gPrzT$9^kS+c{3M+rhNZgiLE`LdO7=M=+zOu-R+ z+hx4@uGQXe*{a`t{H6wj5H9FIXA}Z>1;}!y+1%v3ydu=5J>sDLe6zk$*rr2ZN1u?? zSenDK;l(c!`;seXt&zr=7)xzHSg?sesLOJ4vTJs@E&EGYKQW3@+BN6AP?XUhWLWRH zxFVvD3Eg>mgLF!^+QzG1O6OjnY_ifLKJe@9Ak^hnv*-m5u%MyO`1!LF=2)#o!nfMb zS0x!i_s4wgtr$XL_2tw@%a%)Nz$Jih;4LAJ`ilO|TCB}_5XClw-Du}zV!;UE#60;w zu?kbR?)7`P@S=eF$M9fKJ=+_0uh=Y?FCO)0n)UvOGU+>Q}5t7#XTCbX7Xha`X zOkznCtLY7Mu|#lY)_fyY1kDHEMF)!SHx!lR_F^MlfAA#H<})Or7scWg*mDIkkS^_? zb^N`i{%l~dC;SQzRF>N=$Zb)eNb^_O5w?B#VqU0cQOrWduM@+NQVS3mp#UtbJI|6K z3h#_=Uq+-~8Co)N>-rHz9El>0L%G|M^i2}jZ^!t6o4Y#Yl0M=(e!8rI zpZecAV>45u=GgAV+a_7d8&99!U0+%>1V(0l4~K+l*z=otXX3oUqZv#Xs;GP!(VD_u zFb-8EW9^k(bVCUqiWqH=AEAM#07hzUxXDuQ{L^C%Zi3|P2zJ!;*YkFHy#1_H_9jwy z#JA)Gm~TrqKwQP^&oGk^6YUKf_W^dFDLauk{x~O3dA;k;jd)Q;E~zCs>a{>|L9IZ( zGETi~9|?|Snyx83p*g{xYfxxc@$y^y$e9m`7ia+BGvv5}sE;WcvF`L7y)Jvvz8}Jr zG+fA{e5t)$S*ajAc>dh&d5LGHxQYu7QBfr;BV+_YWp8R&=RHs9S*-Gx4Zd26F9@SS zLjJsY*HP*syqi415>x&|SMunBrR@5cwXF6{Si)G6dPPu8dCplRaXK581=Wt%ES(Jh z`!!h(qyC*cD<9o;W+zP1w+=~5(QITILQQbxVQ9wA*pn@X;>Gt@zlWmC1&4O{Kr1;E z@e)D0Z){pZnR(OVhK+`iqE&jv-S=^dqI)0MyJOWOI{Zmr5)g@heb(Bsw6X7=j(Ofo zb|9gg56oaK$zFup>>(oqF&r7})m2Y-fYl~s=`2+HU#zlvBV7TTFv2z>@5K63|Km?R zHY)(dlY;3=NDKZ+5J;DBbP^EjHkU4)?4*`}+wE>)HHkL#B6$>?u+{O|5GFLswmp*9 zNUD8JW|5l>)) zWlDNtpJJjl3eell&pq+sP@(>%Hxcw`a#ns=KmW!Fh-+#cZbPMkVm4 zf<*f&Y6cwZbm|+xm;=W_u5Kyv*sr7=qpT7!Snz9Kijm+_JavKO01XIb$UZ@aPL9d# z2jt!t|H)%~W)fZ%nC^@W-y?D3y~DkKV&RmJt8FhuQ9$Rmoc4#wN^8D=^A%m)Db=J% znMQsKiSyYANVwd!ItXY(`0s9|w(Z3buVp!(@$Q_vBpMP%@14hkNY`8tR$I?G6jQ&e z3J^)>E*Vm&K_lPRl^+<=eV#-9)<2UBAJUCS(C+PJ^Nr69)@rjVBBdG?A*-NO9K2Oi z#=ROqi8zC`{0FB2f9N=n&4K_{@mr7h+1+$O*s^@k5UZX72Gvwu5t$K+PQM_G9k_qb zF-(lKdtgWV26dT#Sd;7f8Id66j}MxDSggoP7ZML+sg(cU4V(a%1%%5w)TrgtfMmsK ztzDFbc=!Lg@fKfRX>M+x&{CjJ<0MF2RJzXiA(nED_3Qt2$$zSNL7kr@pf1kaA|4f& zodJmD+bv~-H%1XHP8`;{9$f3ox$vAr8zW8oS>vL{%U_tv9yYla9Bq_3d2%?wCT!xy%(IGD4>tstc=a|Oz9x}?1+}KVPfq1*5iF=L z?YqLmfnFL${U)CwiQmGJTo^5E6+Ce50;k`B4?wvgH&l;U&q*s=O7J+=!k?cBR9*K* zsR*HBxI~&%`;PMlbC~^aK-!epZBHn2dmJYq5{clnKzBI20oT}!`NU{KSzpoTlObK; z+&{o(vv+cq)m3r~LH=vMOj(co48BJHzKKU1?GD2sY1NzIsnsFR$8d)7mG=mX}iHSTl)f z%o2w*ay^!d#xlo=VW&$}Xbm%qzq$n!o|wD)K3mm#-cKSmR{<9Je#1Z9WG>t-qS-xb z*s^n%_nXs;@#bFB^blvq<$w-ypR zfaw$?9OC|8B944Rh6X|+m4Hb7QRL`_S-U_J2PDq)rbCP(*6VZN0Ktv)Nq~gA>rSMn zsF#qp*_&a6BkAzh@x567w8cHbJi)yh1As(hNV5hkI-K06QZVoi5Xvm32?|4yeJnziKl@8ehj$=zrjyPWyzXvs4PKYM;q#iUA% zXn)by+Mw|U3#5h(@IIV9O58Ir{<|CML}@%&%6Ct%p*4K4qje3>yO>4-WFHU?9wvI; z%5s#Rtx-O^$zmlKUh1S%>0bVlbHf%3=o$tQyXTm8P+I?oHfIMBzSJ7Q(MNnkNSaTg z>;;|;myI|#P0J#i!FRcTv!LjRU`d<%57s+Us~vRSS7^Ysn2cMQY=O&Nhf`za0>1$K0vkIIM7o zZa392*w!WyT9Pda$BG)`QSRngpeY>dmlh{PuJ(_6sU8-WUaBtlq4PZnB-nF?y=bES z`BMC?Qzv=@UV2>E))}ULjeVu!3gvyvF}d?!BI;8Am+-6&N^8^|NtM|?V6%Tta&DtI zKT?E=6^uz8LuJ-a>GS%{he(dPXrc3c5%mgq*@XWI!AzMWzw(jLk2$-Z;D57*s~*}Y zm)|4&J%SP*9^D^CIMmCIE@CfO6ONf`Z1$Qb`Z%-wua>`Upkj6k*liNoiUUh>2CS@X zS30(nNM1sbs{*5HVe74dZ&e;otQ+Olbvp7IitrO%yEyQe>3*y8xZJr*xw1<^)?a+6 z_>_TLwDMN$$g1dm=RqCWgCac6Uww7wC`wI`uONpfbfF}t*NV-RL|G3L;s3q?uK2{R zyVaBPA63f}ebUN`zmDoI6h)eaT{#M6i|%BRZqaUfZ6Z!t!}_h>%9YiZn#9nFBqoK* zs?*y|W`~tzBAbhB)L(Pp569r&>ma|H+}>IXru0YT)=zZyTPDhHI(UeiQUF<$)26~! zR{m~==*RbyJe>y&f9=c>J3rr}fW#I}I(1(%c9*HBTQ)!>&O-+GhXuWby|ly7!xJX6 z?BT+qZQ~x>Avd^$aoCyAyFPk_;6`^c7<@ohJFi9ITJXoUt(JSk}q-3a~@qG zE^ggGg}zi2E*L+xwSEAHI&|wS{lR-ODeB-oYQbOO&~{bVl=Fa+wAL*ADulft_kC^N z+)vKep$`k$zdC)V^czT`_o?h#I^SaF5PaRv@dUFYZiT!#xHW>n{#jmA?EJr<)+yM1 zu4w9^-oRYv@y^9v>Q*0Wfhh2{;{Jkpm(eI)yGKcJfhn$vc;~}$WnWEb{8k8sOTyzJ zILr?}_ly>s()x+k(dbV5LACIBGp=1X`m?`%vJ4;HpI2~M{z+NRTfJAO-BsOsBv|o@ zAjkX2G1K^(nY=wqWYgbnpyW)i*2p}0zAk6NnzTeTePZbQGKvB>(2h9w8De{(U;4=2 zm>w0YrZyDYPTaD-fnWJq@djStpgt_tO*sR5O>ZX!PH%%}akj-eEG(7z?`&8)HQ|wh2+1(*)?cAH+AV3n?L+2 z%zMWA#0gV~oXF@Yha)n2Dm&lA{wLknFbb}2r!(zg!tKd8%j6LJeS2*5h$L>Ldq}i4 z?D~P8q@(__*ShVQP1kMgPh?o<2OA)=J&LR)(FtNJWqpKIl<`;QgTNKXI%U&gYtu1D zppW?YiZE}TowlCf;z<8Qf^@R4$iMdH`8c&M(MuxxmSRfoecgO?PiUhlbSkHSAXp>H z@&4)pJm;;|pQNzw*_1b~Y-xFI^45({3W$viqBwdAPjh6u11*PF}Awtav%k0)6NldT*s+{PIHK(xp9ysIQz! zkBVdGb~WU{j^x2i=O2n(?3TVSMMTQO$J8GwS>H4tz=$qqJY)~Joul+-FfJ<|31)-3 zb4f3ApGhKy zccH4^RoA8>cjR4wS5dd_)lR^}{sK2oR37r&aC}G;{!rATpcbZ7tD=&&&s3RPq=6*r zk0MBz=Zvgp-Cpfmk6v7v$J60Y`eCP>yUTQ8-cM(ZQ*2AH+4;Tc-?S}ZamI+1zmb>L z%86GTmD(u7uZ7Vox!Wk1$_G%r-S_t#_Cn5(?!@=qKU-6MpacIM2DYGnb_g)<*>~ zF#i?y=H1Kl501LiV|{HT3uTUP;6r9J^?jz|g7a%w2(-&~^AJbTbtp2Ay+7)Lv#NDO zcMewSfa-nK^0(%7nJrgfPxKc*J2Cb|q#%9Ki=2XVSI{3Gi29U%o-{%JB|-NYW&8>) zbjkEvYqkE-@6^W0OQ>e*foLy=W6!DSfT_w!sn4nD{r%+3L)MLXL7Vnc1eYlPfO}(R zf|fHJ{*Hjf`)^i^C53B-G715#X~!ge<;b99@zTQsMe5vF*0au?UUY(g*)!fB=F8V;g9nyxM8H3;89>W!Al*k?`pq-t|ZUeKI<1g zNm2*-W%vC3)W}9HV)R3$@Tf4P?y;$=BPwn8V_jtEw$6;tYLjiz-mdxAHCw6gb-MJe zRB5)mt=p^F+MgbyaTj&#bqfx~$DIo3$@$17+xdqOm4K$VijPG}55u|?j2$4Bf8>}d zC(n^2zms(XdaJH3_SU@ne@um>-I`69DIMlrsCNBSjppy+(PsNc5h2aqhb@?i7WS>W z+9*=KPL#QU{6RjAy_D35K1^v&2mjC+e~)O!Tw}9u*VRScN)L)6Uo%u>eIU2)GS4)x zF~7F72TnvvJ-}Mo7qUiIpmAv~`U^Y+^O9G)W`^`eH(RC3F?QW4pLH%UDdyyviYw1V zWr|k{$~P48@8RN~qQnbqN|vR{GBB}Ysj8i38JckBb$o8DXva)NRe9cadcw-xTh_wR z-_zV*JM)k1Q9l(N$wPnXJsVyiarbdPRiF%iTgf}we*^}-Js-KS_zxxVN88b;ydQPw z$A@MU!WGd@%l_ia=<5vnG1WQ4E@R7%g4YrXsEM<<0(Qb4neP*K^B+ER%jiV7eRgR) zdCyWb(anM0k+jGYtz$eZ=sSVFCXv0>2TZXE+tsbE81@dHEb7r~l`(uxN#62CA@Q0? z@lQqIYtzOh;u=R5`nn>}?Geej%O?6zgj*tK3jQLL|G?$}Qu&l&%Tkea<8M98a`|;g zlKaE*Eb`kAHehh=v^tkt&d_3=*Aj7cr#{q~-q7QwU}*Yi{CW!=^skZ&Zj`^9t<@-m{eJCP=g!-&MIgw~?wD z_gYc{cwTPEp%i4FGw%~M!`%*V{21Q$qQiYrIDGRlybzM`4);}9?BuDQ zji-#E!btPsubf&ph}$V+K=}^me`a&Fw+^QX}#u6u&nZbg_Vik zhCWX@M|mXp!BPCg8SucZ=usp4r zr78O_8|~ExDDP-DZBG~Q*L3Nq?>iN5plZ{H_Ar}$OXdf%okMQF>6*RsLZXfLKZO_> zpGsc4eaZg~a*1|%{$x}$?CwIvAc2K;GpUP+2p)ylSn*hD8B z$#%3gl=N?n|6|^#>lagw+R=tkwZh<=lrkZ>KRhWqCme8el89bZ^-b_Jj(_V}Xz{gS;rY6!4D{8Q^qafCgbW%_ zsTtK2^9Or1o;H7t=Llp1X;rRyI^)|9XJW3~KbxaMP>Pja(I;;I@TaVZAHvt$^PbME zaeqj4wWuDwgV?%yk32O@ir%;HbU1V$Ds|MGD$JHng>#)jq0%{F5~|Byg1F$3dp>OI zOn9#2^(Vz5=LQ9}SOM?UvzN*{&gq3e!9_jzrXKw$smk#U#a%S5TPXhxi}_g32!os9k`5cAGsDi2as#z1Qo<(R|!RXF1?#P!r<#RPKlNz|ia z4RQ%as(M!u;P{0UApGU>zk19qQ@)yACm(#SV7@C0s538q86do3+nH`&Z%Z=%xAT{u zBCkV?*OshqKB8IK(l-wA6#gg7mn!6R^=oKEaM3UHqMcqHf|FDqWpCEbrN2|FEWyw( z-5$}wrgZJ}aU=0%)y$ghQ6Eufo&O5Ex%>ZdbmnnMrr+PMtZbD^&0I;%w3?!I%mpwv zQcE;zoFS$$y6rS8 z-0sNCP}-HTf8)FlFC4L?K1=8oFcW&Kn1)kBTgl&AE2u*Q$9Ovog{0H{4;7d!^0xLf z`XbRao7f!w9&1bv$yN>PipQ?Agg;Jv%HKv@fD7tKrvy()rxdIzs5$%x{o^7({o@J> z=JtKVhl8y3&C!UvSx9p)AN}J+EA_F-kg11VoI1nl7t;k10%=urZTszU9_ohla?`IR zM`U;gNrjN%p)8)2*Ig2M4YqdTgds8x75Q~~gGOyBNL<4nw^TK+LPq9)v{beDlAG_c z$TJqf+PryN!L6D9t09<9u-u;Q#x?4CebS}?v&cFoSnxbmQNZ+H`t<#)lO%=vYsTV- zm`Zwsy>9{M*jTRSVF9)K-2?J@U2kkyKQWh-T570XwpL?mkkJ(CoK=}ZJGWT5Y)6P9 zA0I6D(EU-!+dR~K0()Z+awCl6{?)j4L9#aSht_=Ac$v4m$kg4fcr3eDdH-|qC1fF6 zLv-Vu?oXo0#_utn2$)N^1gW%J$u!-KV2vX6H982raAs`jxw+fSn*cC3#A5=Gs6DM5wtpYr-F4(I%ggmSQON8l<6GzQKqpWK#Ecym;>%f*h|u$~Ta8`d+!XzmB6V7_{qFIaEe%iFRt6wiZX~YN zqsv~#_`U3ta{)?`-Lxl-m2u!r1Pr(~z}fq0!I5%-A!?UT2BS)OeMN z`CrxXelTC78M{VjO}5%=$id(b4jx4O`VX}{;e4A_*VR(r8Q}lI3O}gildCFvx%vY_ z(aU@Xh&f-0%3t%Pv3-CC@8fY8&z#+pB#?UyQJ3rFrSq@{Q*YDI(`~BOd2}SXXRBg$ zFe^ODN=nWE3YVgUWrX4}a)ZHKb;h`Umb4i$OkKsmxWfO7H>3<{HPd$j4Hi7(+Sx$E zR$hoEC=D~+@-VQZt(vVT-;uF;+o}v}zE$=uotwh!j8^U| z!-!Z{yRo@VQy`t*vLb^Sr=LzP+ZI{1d_>(IfIWsNQFNq0UPO$9n&ZFwk#cGbEvR3D ziW07)9Vs9F!Cyxnl8QZd<8F`bzr=h{x^sE`Eat?47E+LBMLgdZxt)lf?zjqvH2cpH zMCPe(!qT2FvG4$4Jb?Ws#N!-vgL0=}k0xL2QsMr9^;XOEtoTPe{E>J*^$M#U!mqIM zpW9*Fv{$}hzO<1X;*d<7Li<$`ZM?~=5uI2x5bM*aTE0oX_=aAqeJ65liFq*o8Z&et znXyJ!wS3_L`@7f75FjD?b|J>X>b9;@d1488fV{6rVFY}prlIxgz3V5?#vR#Y_FDEN zDe$#25d&ya1W;C0A9Zao*C&Sy3-8Jm;A7bm?0xqpH)dDl$V^8UlTIYYo~ ztPC+TqDE<+{NsL+ZEmzNtWh!#L8IQ$hro}z1y-PA?u0Eg<+w(QkW)27X@4e#&GsCo z9-@cna=I;t*dy^tt2d8MSF`2B&(aj~rkSiM$m7&xA{{&T{jI0n9}k-4HE<$sOi(gP zT=D{!UBt&tFu-GJC3b6bpw_bU&7UFPh04UtFB>@V>x9Kt*hjZ2l>hSip4PR)a<4{{|ELb1UVVmeoA-%e zXX3ZjR4G%|Rqj+*FMhjjFxX zf9X6hJN0o4=q#xKIOed{;D^lb?pbVo-$QsT%~ReF&kx$4v$+n&Y8S;)+R_DbZhCF=>hI4_*_H;vJa(mVsx0F_ziMmi#M zBMTIJsPt46308<{jF&nUDKJ;;qT3i~*;NubQ-_+4a;q6IE>;@cWaLc3FJTw zikR)eEE{9Ort0=6c)AlNb9zvIXW+z=6)M4AP`P9;s$*th<~ zS@2_ysIr~i7W@~?=go4n%i7$rnB}cm(d3A!tpk2tdFAjpZxf|;*PeXN@4V48lNU*U zGbJTHL9UkQvSs9g%ptLr5|unrN|4A&g7{OVO;+?*uFD4U2K`qx7AcR$4kq*~qa zfjA4Mb3uw-ypKw+Z`H*oBS)n>B4eDO=Q-I^cY`9Q)B7;WJ(@2cAY}^YOj9%cVO-2X zHEO9

    `CWc$AAP9O)a;FOVg!cXQq+3HH@`4~_R>)tx3VA^Rl};h7-;3Kma|WKBjG8WZ z>{=<`-mTcft@I~*W*mlGvpX_ZY14B`9mqNVvmvs51Iej<1N({vS+~xnp_tatK+TSE znVVLPcBU+SC_+y^sACE|);G=p9KQgxv+;`e(*GsP$ou^*-kR)ZAJ`D2l*XpBw=@)& z!E(BRp&Msm7R3ByX5o!wgKUkPT7>0KcZhN0V5q<0W`8BlRX@3#Q0uUF zE+ogaW#Ha;d?DxG%cAvXKhFEf6<2QV6XLTvaI!)(Gl4?lFM9HDEpJsbqt=YaBF0NFxL|$tnX?>{r zXkIIl8-I1vFZQK9l78qc4?EwZ4GGJfF2OrgcH73-)QTova>4;?u*UuJl%-EAYl+Y2 z&ydWc`P1!gW^2_{u)Ut0w}erm#d}hCwW2#OsWH;Ww~eCl%R{4YtYu`{a%oN__UPc1 z@l$VZ^d7(I>oufT9>zo<;2ecTmfe8}$yqy}!;<^_$|TBF`)q^vt${lF#$D5|KPw3} z(+6cIpHI7vI#bKvwN#DCd;JFd9;%wY=o+Sj|GrT-y>7aYp6WO!>pdiv7Wr}5X{$GD zkutLZP(eVBkjR(X4Y7tQZxI5Y3EhU*Nq1Uh&OJJQV}dcDWe>diJooZO&0LD?A7HYj z^gY)2J*Ndz%61)93Z&p3{b_U~@QQqwf3+Rf!pxEGayT*7iR{8BBL7QjgVN{f=I#)T zShaT6r}MZ}L^?b)szeOYmd;9CKBgcH^tR&pRSGA?y8cuf=l~vb2i8u_Nv=pifNmRZ zEzx^W6or;$4#?Y9gSJ~l9us-5Ut9I0jhdsV)b@aT*;*~Rple8&(iwgq8cjK=_L`j| zUJ{s3INw_5GBNB~-4G&6jV|6roIpa5{K^u(GkghIN6t)kLYfouctC(Uxs(P}C_`o0 z1GX7_H+l)yM=HN$;HI3Ch44nZj>EO|1FCbz?Xz<&F7mqfD|d6OUD=|N(4o;J&pnZi zkkaH7I5j!Ou~dY3hB6^qHv0oVhYyHY`&ba5yq@8z04e$>pfJaGm9|#I9CdJD72+~g zr{BX?VYs9Pzc`WA9oSO3sKs3Vb-kulbEr2`Zw=~fus`@TEi+=ye~R;Fg(Z8f`V;~P zSGazQpD^8T*r1@hksc>v;HCl0?B$Vu&3YwM8`_6j`1cTAwka6V0=b=Bq1-f|Izowq zaS_4&OzoaY_n)M12eJmDExb0s&j9956nwAVLDm8x120UEIh>hq2pPOtdXMki8a(eN z=pg!;UMzVWmPxk2@9~D6;z$t=wg05|$vg7VJDO^jR0N=V*5{byl!o$o%`hen92oC) zExz~ksOcWICUOA^%QEGc7BxwNy*EinB+>1(U$M)XnMmA+y-JI zT=8=p+31Wt$%}AY*w zq%-n$lAreb#>*5PWG$9-7A(>%6kGPr^-Z?id}_=xKubG0+95_~Qn@cX{3W{({gfT3 zFIsMx%hWmKekt-({_h28v(W~fgQ#43zvw#W(h_>d!Q%Omd~_l?LjkswNzPf2J#m!( zLHlVrwnAWWe5lqKK^K*rnFWe2NS+7rgsU-Qh*?WQ4Y}fB7)N#s)D>2 zeKgb&`a30uQfcr3SN)NTbgnuhWy1)bT2{`7AUg4zXuy5AO|68zl}G~^CGnwx6Foh{ z#Gon0MnE4R{Fz~}@4_MZU1`C6*0g6-B& zxLn#M%$JGa_b>GXlg*TV=bNjp{AByRN$h_W%m87k6E#ks2kaUM zQS4hFyPD)GVu#M@J<8p$;frq}{z8V}y=-g$$NYHbdh1kc9KWRT$soO)=d7RU!y$Hv zXZc0oqJNoZ3l5{uWR545xndYJ!_0UjvEqoLc6ptPt)vN5f!!ku(QHCZF~ zIGPf3<~qsv9Xq7tw=~1c;hOFq8U76d$}`q!+@vVL5AiyVnu}TeDCoJ(smV9adGTia>E+_909kAcyO?aeyWA* zi9a5nWjN)*JPZMEu5po{aVz>Lw2)mwJM=#)qJ=WGO|j$8KVc?tuQ4d>R;lPqQHWA9 z2tA<*!b@j`qo4=IQ1lGKwsv=(99MsaFI{Yfd};mP<$lXqiY{95HnkIbTG4Wo?uRId zq1YE)Cl{~+)C%6VYo_mXw=O8`xcIx8+#c;7ctS`RbV=TCats?3kr{-h4D7_ zMAl)>3(*rshyTK@*4m7n<`NePR{w<)nA3a7$ZuMaVato+G_&dQVay8lnB*%Adtl3K zb@%zD5DJhhf-kz7j2w3Z_s7-^%GW59(_<%wBz>?fN}8cdP%hkwbcmBh zS@5Wmnax_x%Cp@GFUVKykm+mZ$T+k9twpjt&0MIdje2$mk_Ht1Jz!mmPj;{oha4t3 zb9#{wet49n{9F|#W14iFN25w8zIj2$BO3e_NT$8NM|#rcsiZJ}ekI&A;Rg^=5Reb% z_>sdM0y(DH5?kECL39{v5VM1x?Q|<58L@+G1^-P!I4E{bVGn*jUZx=o##hP@oQzE- zuF}J?BrD~!Io>e(3VNyZf9`^!pI})7?fJK4jmk2H`i{3h5DDD?cZhp~JTR<{z-7FD z7lhB(Mph&x9q`3|!p@HSDBITXK57vMe1hDE^9vf0mv&JCdXlL>^0M;;+VDUf<%;d zOk`z~>fb!f;Am|y{_10_2Z`4S-03^lqqs1iK4c3dUDtt!#Z*RlvT32o9A+B~w~rt) z9RC*7&RNA8W(2Eu^R@Vu8<05q+d~%ET|if9I-Sx%6}wb<;Tl%Vj3~W8>8tM@DvjCw zrHUzB)q6Y`(Wj5^)h_&BmN+z`zflD(weo4pAAfJ#P26 zRR06XnQM{es(pl;!4KiEKiN4ZK>taFs(iCwg@>>dtW7#b3+(iKGI-P)p*{sYBBJ#_ z$l}Q)MO&nz?t@kNqV+<&*Zq#vH=O;Ru`95<_430IT7%?*GZ7y7h@e1h637uGHBiu_ z?LDD0NV8*fJF*bi*z$7P};YJ$RH&y>Yun$a zrJ1V7FP3nLH>;rkMO2t}vgsdBdE!EkB<4u!eL_>0S|_UMDdh3>MTv88%f(8q5Y)=3 zdAbos>ZWS?QBuUb*I4)v!<6xq9THV80xk(NW5Ad)-g=urABO=D!Q^6Wxe&B;;E?te z`ld4S+P%VGdi4)~%tB63la3GGwEy`jIasLzH*%@f)^4vlI&Sq$YI|gEa%a-WvCv$A zmf$?xq`8{*NgfAUDZ;Kp+I+0rtnpF8g->^SVa<^9-4lMbIjS;;n={O$320W*?fdP!7)OxTN}6** zs+hpAH?eei(Sn3Fo^xAREV{LI!pl$Vtv3&|=I8TgL7{ltQ9Gc6_^!Bov`it47^Cqb z-6ZkjnB4SVgr-KS1$yD_a?^&6&DF~Kwpj>1B)vFoySa_44U=jHqe~FsaZe8l0 zL*G(rb$Fei=GLRn0gGF^^|kGew=zDPR}_CZ{_pWBVMti0J*CgplX-^_p`p`1+KW>U zAGjDRdgHG?%eV_snq)b29Jf)gtj3tBp_>eBqpw3n3aOd-lcXSY!uGi~9{WgsQ%Q;= z8IK7HTOwyK>xjQ$B=IN66yPfR`FPVV?e!GocT%D_xr}jNtPk>@YY%EOo*yFSu_@YL zkUer?uX_sX#+&#bI3o{ZWur;SlU`%!5E55E)K;VYMGg0a0qZp2zGrVEqj@#{xEAyy z0u69^M;WJ8Ej_N1Z&nTA3kKFc)ne3$7R;XjJBXA>9de)C*MiPWt|Y!F+SdZhB(VH6 zeMwj~e9YL77n67ErQtDfaxRbp{Z6+FXqT0~FEwmIkkdBJXhl(cKQ}2ws0qX!n|{UH zmus*p<*dbcGT%}p@h375)?Ta32?-;>O;N+aTwFu1_ozV)K-&mFB7;ytO z(pmVa96%iVO9|OIYQLR=TX!{yl!0)&4#QU)R42|olHzWTZ8 z>iJeAWmKby8v!Nk>1g6k52rlKkw5C+R@E4O28EA{pftrA25+_VcvML^!bN}Gmvwo&muy8Av0RJmLTF`a8pv_T&r zt4KG(c!FkjW9t(I`SnJ_R_@S{nDw&LOZWs>Jq} zs0RbCem7FzL+-W>8<%zjdws$$_oDTVQ#~&HaO1k^bWJ>`tatK&nqQ3sZ|y5!0?Kz3 zp6e+Dj(l)tm}me`E^E0#pFJ2d_?DRnMM#}p+X1Sk1#N7F@Nuj$=UP=#ZO-FDzZwrAEWPvb!)v6A zt#o(dx*2$T@gKrP-ebN%YD4Bo+5e_q7XFyYh?$?O21a_De*m8m3l)eyJVVfqE@&82 z)|i|_KJf-!qCBB=Qs2Fex@)FfS!{Y5S7?PD5fPmb%OdXlZ%?uDl)kAF#+2UhKnHY4;Cl zzvtIMSFmWpEANaVkMmWPfGVFXaQ~_m#av}=)UV^J&kLR?oEJ&rw&h;N3VwK-Ex(R& z2N>b6VB=WZXI-TUkNDs|_ybUs>|gQZ3{fvd6y%3aC1a~pNrX;Ra|<$V-*F$68K-HK zn9z#>Y@Orb$Q;c`N@Ty64S;H{R3T*_Y($Jw7-p7h zz6+Xb?wwH>ntTI6xE{5W&mI7{9-854fm{yr4T80#idGiM`r7^C^Qk;!vO};YLTY=4 zymcm5=MRD|)d}fU&cMb1;cO>`UW4}ROY>EoqSqML1?vL=h`sM5W>gCT1sg#*QoKLQ zeHZ&m$>d54>@|X;ZkFXW|1l0cID`et{a{Xjoc}Ht=p4u%sHbqQ=%9pO?RMT`b(_T8 zj=6URQ)wu_EZSp1G#*~2(fR(`b)z$dBzx9J`RohRhMzfs!Xc<{7tGJY$+#(z?dvg& zNgoHn>p18p<(95g@4J_puCdx_IiSg-enkMuv^w5 z!^eBDwW|Q>>+tvO=b>zkwqx*~a z%Cv3$j>1iW!v4#^b?pmD)5}o9q6M_dzt?D2Ll`{_BQpegq?}uy)&E{M7J&lJeR< zz(H9~avkHs$Edu@3_A(@-eH~yOY3#K2p^ij-J*1&>NwT+!mR<9=F<(Y`JiHI?pZAB0i`! z(r7U)o;496GZ6Rs+pics6kCtxjQX3^I8hu)M~*}E#+?u{NREs!T(oa?-H4bfGT0nd zgai>#Y5d3Uv4lTBqxuI>)IW10Q#-7JkRZVRdSe#b=qb&F{yHDE%oo5jP1kdZ*Xhsy zH*i_#Fu>Emj;}je&Ed^+Xzq7-JHtK)2VJ3nJost5-hp?%o8$(%jN&FFLH(m@l z5tU%+sCoC*T}EEQ3jj|rLv&%sFSbjXgnI59D=b6j#NMH+M{Y8V7`vneO<;l`=1l3OotWepZz;;Kf9SNjd6?aW5BJV(GX>9{xz&5w z5xidh8cYFuqt~@zP8R`tO4FBSCkx^guj7mPzVTt~?ea!d6TRm~t}d$TNzQ1woed*t zWxuW-_?gDmy!b;JD1F6R=Yp9S4aOxRD3|9>lB@M?1uxLP?jAY^d9uOCM zW^|y_99Ww2lkQjuNTc7k>mb&PDHW_rVx7Re%buHe#!w|NM6gCx&O<>GWPpPhQ&CcG zJgE<;qK!vxV7E}GS8QP0xZjK7-9ajiZ!xl%>#9(RSGAqks)D2(hX|??0tH_GGakh< zjxF=n;}Vj|$Cm55p^h*(YH6hfK0spsKvE5Efe=Uc3Db0z&OsKAw8SNeS^g7|S>8_M zZOXEQfL_1p2Pe@|uPR-5NxmvRpRGyvMQ%@I0bywI*Fxo5yRbD$G?go9b~ zhuH5+P?HhUiL<7Y9`|kHH}Y|eynkYQQ5@ktzNqcH{%YaXKAkVJgfMXNt8p~xWj;za zzEieQT79yVoL0IN05CzZZmp(6gnifR>Me}vne}rc)FY#G++LU`Y6rPQgS}c(w6wIM zzirz@wxc1upXLn<@AeWnbajOzl;-z^zi@dB1v~noseR7@pDyWcZOtzFsi|IreQiz> z*-{gtiw2)~l8smCe(VYU*Yo<+!6M_0qXRjy|FK;FH&T(1>HvCqX>ClcJ;zUd<2Uk1 zk~fO9zgAPHiXM<#8jB>wQ$Q6tm?R`B(Mxny_0a>_iT+FHtBPBw2gf3nTY^~yn5<+P zu&wZhMN?NQCLOAb?9&Q>6x9RWS%Ex-hX%t%=+tXgpOgk%13~#F6<$ybE_8CR{!Gyk z8S-8H8(4_+@mK9|b4)oSHkogs4%F6s_0z+1oO^Pd#lnj*5oCxO3fAMTm+T^q5cRI< z61P}^bh5P<10qJvF}ETA8Ew_^`6xk8^J*9ST+B9odg3m<2T1;cxrHg>J=MI+1?1f3 z!g$36Obzzy^wn?CN^O3ghWHh&g!b2wpx<5%8qL+eJDdn|m+^N(ayNS3>oCq$)hC<) zwM5;aMR#S%-@Q;jmYD1aZAWia_cmkth!+>P@|d*=NYLDMAG2Cs5v-}ycDnJ;BGHYo zO$H}W9IYmqFHy^o{=!@DPy)_d#K$z-`5#AIA!WlLqc>P{mgCQkAeys%8soDPd^mlc zrY`nMyq)h0nlp0U3|Ic57dGaaft(`t*9fnyhl-xt#3nfed(gBMgT|wVwZwCrK3_8% zsux<3bbw z4~K@gnI*EJos>khtgCiVAkdkxf;Za)2^3P9_K|~6S7^EYUjyoM}1?Xd!hoxC7BD2@-BFjd)|Rm_UK&Es}J zVZiVAgxdQ;rWpP&*p>2+7S|xgx=lBWy{Kz#N-J?|tLcjIo8PvMM5^$~F~?_ucprAk zz1SacALc-R<^;$f6f3BU-v0{Ve>C>=8c$${`6oP_*rxgmI%pl2^{(u zbpB}sn$4b+e()p27Yt6{xvw2U_Vt1A^qA*=vsRpbqCR8jAM`$MdmZkHu=lIcYh6PSrtpsu}FO^OR9UNY)i74}X&iJkV{- z>1|RM4zY0QyW!$NXfiw};cyE%P~pbKTp?!3;-dB~2pwjqiY?uT;7Bu)&n?GzxAaMPg8=UuSxYV9Y~0^98%M-?>`LsDky$eSPNBS_M^ zne#e9IWlT0%6LH9=ekvV^{4*=>T++e$e*mfw${z9nnc`C z0<=6y=QnM9Cral1J&8JSb(%PV+0QQ^Sx|!wT#w%gHNw}?w;g=3XvHU~Jar;+KPa{y zHnSvEC{4==%!CyJcf9>wDHW7Iitnj?N1-QOJ*BydKp?V{(cqPjNrWB)qvq)#L~f*8{0_d&LhCpELDI1nOol9DnZ~P;rIm5@d)lB4+4q*}D}g$@ z6MIH&d&0orHCu4Qf*;&MlSbZ=UMbl(L;Z9<|3Wfe?pz-i1Ra4$Jozn1vpbW9MiT3!0Hu$H`u zecHk*oBnj^MGmE32|C{o=YD^2Q-Ri(}vh^*oh%3bN_5$0GE(YXP&t zIr?r^={@gC;+Nqh0jDTsr(lQLR^7mE8z$q{)~-D?-u`|lonyZM+$T>k_Z$8+aRZIzR|OXup-*Jj2uGB42`R(b z4cXkhWc!?3c*?D(a~G?i&(kycqSbrVJBtPS?{X+MY?MKqTES8nR(034Qca%%wP6m* zeGk~;9UB;2L#*IAX&MM4N<3ZYW2NW6@BU+}xn z=p#W{5YDLWMDafWj*gspFfi>5pD?}ya03qfSIBz?tQn>*3i~a=|3gZP$PW)bU07+a^5hbSj z8pL4o72dXgHk%D5V2jTUt{@Q{(TN^1`g^31k11=k&n7|jTXU`-TnQ@tf_D+fk!~l< zVQ&kJHXv|i;zS+I2Mv@CfmJE=Wb+6t5W$S#Fp;;x%1+aBQo30+nzTB|eHNN76|myR zf`*WRr1(OHrnA>|+*m40Jiog0H95tSzKcwjK$ko4joJ^rjxxwa>TcljWud=N8`QQ= z{ekscrY#rmU{LF6GYZ#fC39j=ZwZW1-vgZQ0TzCjnD?b;JB zKvxh&?H7w8q}Sd;5+2HS>rbjyHpJX@64n>Z?VV}Ct*VZ)i8Y0C+s&wDjZC)&Yr`Vx&@#t0=6?jTChIrr%$Q_n@ zOKX?FY;la%9b)G*iPoR)UD~Y+0De3pb)S^(UhtHKI5s^I;Axsq+WoVsTm)X{DDJ_n zs3!Nbv`--Apv;lK!}Ufu>jJ3F#uTAAA^tpEsFQ3&zHPRq36!Ef#5HlT4;pC#?1M$} zMpiuhZijLI7%$ zTl4?BI-k1nOl`W~^^-oinayv(T`Su*dVrK)`RWeoA-g`B!|zN3MBXcS)Tv8gpVhqI z3lnM`-|a@}t$oWUs)RIl_bYmOAyXo(fzN6V@Ld1^dAm?LS7BT#?S3U^iLs4GM)-dq zE44*?;w?C4NE_o`&DL3e&6b&*scE;=L_SD2EBA7bTp^zPhJDPRbk2&8<+XvDK)BuB z*;yThm!e;>SN`}JtpxOstk1La6aGkao&G{Ce<|@Hc}g6u?7>Yk3IQcwMGn*x;TSs+ z%TX2Q80~CR^U>GY?K!q+Nvjbu<0!jebOI5R>D%2iOR4R!HG4?{Zqn}Z0_0=B<%V<{ zr-1PXzY>og@PnNQGSb?ZOL$#_;WBIVI6}5w-xogaFng+9c+@lg41IE6oAjs*DhI&v z09E`yq!nq1A&3+iP2dSU+@vrbA8hy3;ttGMD;$etPciD%{rD+Vo&+-~og{L(#Jxq4 z`u4?opl-2LgAanuN@rR{bW2b&ZR^ATa1z;ualtbC4;2BcXg?vxf&D97mc5LdhEwGzphKCuVx2?RyMoZehW*1dx5(rHXL*Ex;_pzvUfQ&Q z5nf`aoAsdfI?u-MV)t^^krN@ADodrqPoQma2aG zNlpB%Z#0R>|y?#@FcM#je?!IQ% zg@dqU2J^G~qGi`U`2C^K3N0$gwZ+xxZ(1@NsjLS)7E8y%8(niR7rt>(WllZZ;VzNu zMTl0@uovw2yluw3_s*G^Z$Zd^-u)b_N6(y)ekjr&a*?3s>kk@S$Kx$|u*CvUbGWX9 zfL2`XdvfKn4H+VB-n4L}eY6lL1Xh;#VlfNfv$V(gb^2~T@*N+w;4x&}#dn>)qrzXu zJnA+nh!@)(d;LKbGyk`s*{D0P{8-Xi7(4XwxC1K^pDlIv%I4F6D7sIdaG#)ldH6q{ z5o34iC97+?P3m3J>Rk*bjTdLPnIOh8s`lNYeMVjvzU4Gcq84mfA645`R;_^?u-Wfo zTX6CL#BAX5#+lp!Hif@9j(>s5!~WoPd&y-;ZcXkadWo64h#u~zIIdS?&gkjtGy2En zF=$O)61xMxzVi5*{%URP4y$8`JINrHH3scWW!m|vV-{Ah(B05`8sto_#D15Ni#LV& zbeZjBjDAIP@UHB^`1)IK!P4&5?QTdI2M3+pW5L2u*rFKUp>VIeilcce3`g^BE0P(Y zUiM}c2tv}3cMBy?E-}Myybd|(-iYQowZ|bh&(5m%35?t2-@X(@a-Oi)wXe3s2h3Zm zvLw#;7*+NrWE`~o^RY`k`Sj06Y%o3=8YkVA_!=`kt+CgXQ+CG1pDu_bOro0E>#z`e=WTO8tJ(tAc2MbtUn@C1^MVXZGYXN~FGS z6{K6quP^Nc!pB$61_+;XZ=~=y>irg+`@MDnIjVcvVPmmxNafnIdH;t(M6RFT`?@&) za-&qRIv7h67WK8j7s3~ys!vJT1@#RdoFiY;K-Fl$b_iYClVGA2tCg3iZ)-lgxI6gG zqFWl!8gBdDOYC0FsW%M}qx+aIiwFGqV5Cp3$|{bWdo{L__EF*xxg>^#$KwB{ zK%hP)EORwEXY}BM98o>FgfN4+>A?(Apq5~BYK4L?(j6OPK8r<>qPg0ye#)jEliY!5 z=k~?%*P?Ot$2}2T?rhLENEs6r_gyjh-i~Hq6S9$DH$ibwKaVW9r#?i-< zM}ETmGM+o&=Tur>l&Xk226{=v0y*_Y7^E)g=Vbl)?qeWbTa&K1qCekr=jREvnL0!7 z<;@Ts(Em7ES-@V#h);8@Du}x|7b@+z*drzwQ$M3#4$j0VB7@)Pq=(-{8`C+-81C1_PXJBhu6fVdm9XNlM0~todj=ff<-wU$ z3obQ%&^y#6Nh^p}y{P3Awb7eKY zEk>8ehG`NS2Q*uP*|el#nvf6{nroE~Q`(k6AHbP&WRQl=F>doZH-F|aWfInCT8Z!Y zids1Gm~xdEJm$XeT?+J%_t7Z%-dS<;T~Nhc<9#>S3uza3-QIbqa+Z&SSjy|fVA|P& z-oQ%M@0>RU6DHg5rk}n~?^kJ_rQA*5D7&e0r<(3vz>Kwv>QIZ?bM)#76wY;KOZ$;w zSathT`i_56ha4h=^8p&W83Of|oA7GY)T(OxlkK}X#ntvA0*X~9uZU&XdbN=c4tJ7w zLMUWAO-9{T~Od1f3|!5`P7G4h*s;Vw4r0{W`lY| zdQAH(6G}m(WFZIWSgsc0I@omno`rqCMWT`9L*{{m47F19Qzm4S|!&iiERN|doQMUNl%LLi$~mXD(%J<)DgA| z$K^gh4uL`hdD*t_^i2J6{#U`Xa05GLqaFGCL@OhAMJw1MgN=%&{Z&DD zkrXCySlH;oh=YnuYM*`iKi=U|mF)uG`|cS|OI~_ggzzcf#{uV{c|fYvY@GgE+$FOc zJ2qU*quAz!l#|RqdjZxcsk1afkf>q$8rL1Y3JKB`<)B`&7oaC*bbo<8leZp~d{kh- zwj!JEuJns`+AME>?YLoE@;qsLP+FGYLkXh?@S$Hg+a;Gba{R#24*n!&2uNaXY^3xW z^9PfBwI>$5W#QU8I)6-f>j{O03dAJt*q3X9MW)pyIPwPRoJa1Z$hXqZhF1d85zrPv zJy4i&-M8WH^CAzPBkyEa=}$BlYWoiOqRT5Vb|*TOt*EeBzG)cmV-o+p!*0fZ+7DH1 zr`VBw^mhLI&mtHU-5&kawjy0+f|DKeJ*!+N&73gT?7up3&<^%TWFc^XOB%sA&ZQR}v2(9b zZCtuA#AtAay+*yKW+E!(9y1$&@=)dFIKuLtBAF=d4#U~T{YslpOsdhNC?N>oe0Xz* zb>x2zH;r4*cAHzHSgTKecAT=}Dvgt^=@)gXeX_-mODmtwWeD~q{O=_reEK46^I1*% zn6=QKT5ZhGpH`+Q{`(t~A%y*E zXN{}Tm^y4eiiLthLC8Oh#Ro$k-r6I#CS)U?E@Y`sO)pm4b35dHsMt?f* za>pw%@i4pU)8i`p%xEpw)I@*IaA0Adtn$P$NhyGu=3|Z16!2R*o<=H8OUos@PM~Fm znlxjCVBeCoQd_LPv5WA{ zX|4T?ER=>6d0`!<4q1>2h0wziSHQZ2QYiTVR_Xy&x{>UoFc(KCX?}4(Tlps#7vmE{7N znOc)f+qeRn8JXphHO`dEw2fBZGI!Z4HOq}$8mCFXb+jy<%0BK;X>OH>X_l#|U?3{U zCbB(M5-nZ9%Ug!Bb1LNsSNGpLkn*JJZ9K@dK^?q)Y$5-_QqPYeqipXdi zRX{V9zbPlLZ1xhra!q?n5v3fVXZ5-qrerOk)AfJysxLL|XX{c7qxl2Cy%l6U5C!kLe|6kbk6y zs{}0Ny-?_zx9N{ij$7mGJtiQhexFA*tocHX?X?3na7q zq#;C}b%Az!>vBe$EU&G>HM{T}sS#)58}I~u7rMmYN4$yKK-`w~=#%RB_gd2+`BG}= zmdduci;4*Qel~WwE|}ZXEjF9>RodF}qsCls(!4L}!HqayLO!beW8O$lpYqn-B%A!x z6zOorkk*szJo9?e`1okb9!Y#`K*`A2e9xr&%xb2n|HqY*^RD(^(tg^dR@Ge~%_;(l zd5=6JA*4ahyChrt8%x?Q&hJ&K0(55yg-sBpaSL6J4+hz2 zDy`5MBdpKkOmKk_jo_)i+D}PXbIJ3r_IF4z&rbg=3gvqqNhKi1oC>sbRLa{-e+9%py0LT6kAmkpMcp(U>-%Xb@n{-j~ZT?45f9@#aWc_V52XAD^>;j zz$qaIh`yds^N)h*rN5B4r<5Yl?Enx5S4JS!XfcCe3=>wCg+C#Swj66-rHd`&-?l#F zgyB{CkV>FC^zH~l3N9FBqwQ9~qJ#8Z5HylaY$^?XQ#%5YuAK808+k*!Wh*9J5_QB4UnTb>Mw~}cYr4eY zJr7!33S-NASKkwT^bPFS__d3T4Z)rpaqQK&M`NJ8<&ANW{D{K5KjIYmh=D*MjHQ6P zm(MI$Ksw8-;FF6|@)#ZY^z;CQ=^eF;8oUjl2-CcM;pv!GPAcvcNbPM$glSU*56ehM zV5i1tmh8fLXro4)q%A-8P_6$HdQ22^2i2o4T|hh2@rEsf{qE3+Uv;U4iC=#V&%iJD zy^fzy0mw0LT|t)11!dX}-QRCixq+g# z20KWw_QjWK*e!@#I%-5&!S|E`dXb~PEpQ&+fUz54Ir7(%9)LCE=b-1E12lKzDZIq! ziuD0;#pE7lAg)PIUTQ*a0@6t?u}ul0T(vY-r|ZVKp>>FG`JX-OpQRh)UX597FNnuX z0dSaYxy+pa;Hqr!%Iew6485=0X_kq+w49T@@D$g!w?MIa(CTO?9}hIy5N@|)XahW~ zm)~@VY1Il#joCRIng|>m3hn0aFROV;4I*Anr4}@4BRinq~Yz@1!e? zKM-+7ZLhsdHrIuyzXEe-h5B?n+){g$5cfr&oBlsC+wSc`Ag)`s^eFn98{rDxP!=T5 z*_NaFBWehB-*|NB#;Ox@9ws{0zS?xzf&)-35=34?>y2*p$GMW?;1QXdV1?kTR~hy% zd70`j@mpDP9erN^1!+%3cSk;@3rMrZMh{f7g#LWpSGKlWn>SK_e;zK-cg6Mf^+M+G zj87U9$69&kdu{mKpFL#@d#75D8}80V$U~{ofyH%XgaM=0277#P@`JB>`5+w9pwoFNp={v#1%JSzEv&|jofjt~QhcijHQCrbG zYdLFPAE$+mVIFvji{cOJy=cH(T+)xP>%@V)#6>CY%EGE2al3m z0{)UYWK+H?qw{GUzWJDBct`_1e6px4Iqibuv|#bQcmuOI<~_een$)wkV-HNms1f(U zOYwqfPQLh2WKqB3pC4B}Q|_O;7!&qm_|=Son%jV4Gr3d_2Fb7(y?&Rp&vm7~hO3?M zI;cNI^K-z84gjmZrK*bjkF*-5UUN(@eqGz~P&(QSjN#lMQ2|G_oD?vQ*1hG$z4feC z+la4vE}!0^t1f_Nye~*zwMgl8Xs7H*{Og0o(1bsKbB{aO%G&_a_a-k-A)(SXmOUAtyh~kR2AFd96oLH`ZJt5Fcm{LQVCh3N+(W z!cleZtVIxcJwbq6${1?c!x+M^K8jXc;1$ml6rhLfRr>7xj;fi~SN!5~^U>O2Bvs7Pw8j+d2AWy2HJwqtu~)`Gxl*;u%YSL^grlq#K20{lc7STnQ;I0CQ!L^f7Xk zA(ulH=joSzuH4RSUYt41!UJQe0@6p8drlW%ZUUmuem}!@YM-HobgS&v6=w4iUs!f; zqzB|u3tN_&W{_Sv7@kLZ8rQbSrqW&8iv16FHaXmIa1@nte0hy7gJ4N}bxaAn}1` zWoj&gr7c|;a;uV`?b)iDate%xECT?D!6<{!_;5f83MDjT?QRnPG;7F04Z$D>GKPv< zg2|Od-I{gI-ra#*_B+z?r<7^c&VKr((agkxFs1v}sJbzQJdR>^N3SJf`*c3%3-3ty z=jl&41`u{&GQZ>x8~o5}e1kK+NC{taz>SWwu2N@qxnyu3sHlng?iM=V;Xo<$%3>&! z@+Gnb_N*+QlpKMJhse6UUU7_dgjs7|5OYX%R-VWnN>O=!Wlh+*r=OPp$y+~Xx1NcZ zI-wRn#N=xNA4dCP7`>df#a(msr;$5YfoX;)9A7;p8btFkPZ?QzM0v+3Bsh<7cVY8P8CVoGOy3N#)AkPdOM=Xzk_X6-}T>n><@ zE?Bc6k5Xc`=ZyO*GBbYlF?AF4EoYDgY)a6#8r*d=@nd?nc#zYPv;0^__nj2TyQ`tJN7Py8SuS=6( zG_XP`#VwVxHR5Tk3s0jk4I%|nqs^av0+U-r9YnCEM=7iXD?e1XhE3YW_(b&X3|jo8 zu#pxLYn#S=nsB1E;u+F!{n-m|@^VDGCxOqR9Y2Bmtr2s40Y)qo50WaiO|a>u1!6hD zW^73Jl4m9I$XHzst)B*j``56|@R?D(*0_f=C{Mq%%iO~`D*+qm3#!^YVD#kaDcp8W|n9smr9Y(m~f z)GlnArvJea;8y9=*$L|<@9#5dyZsT_bJcnHhk@gO4Z8kW^)^^|dZpGfFq^)^opMh* z7_o!H#y{+ij)!fI&0IKVTmK%cl-|4FIac&~>qgaOPfHMOJ4j7=%h3$X{P=q6;mdb; zU8{aJ;WEs!p9z?MtZAM%Vv>!IH4iBq7Qw%Jm1VjaY)}E;WNsgp{05lF!%L{)ZfO}z z8*JLlZ{5U;^LEOuU5tH*BooE}Do}SNY~|FD?n2#6bsfBQ=q8~QzxHBywmvR<0XBx( zGWV?%S`z{p0+095J?VSwi6*lD=N0XoC3IoZ&Duve56udPpx130o z$c;3V4C}GiM<9|4l?kJT%Cfj5l|BiJ(QWdqCf}A;p>B(rKY|J4O1O+#)QOKb>q*Lm zO|IG{&d*WXIeV#`GvbY!0b{o zB1|7|{ZWzND6a29>(&F$TwB6=6MA=CJwT+ai3|b>LQ{Z3wMfPcL4dJ5oO^ZxpuxJM z2UxF_lbF8bQ0#X+LY%5a>sIp&WyV2L7=l?Sy;5YPdO}`8Dw7=tmp068(!8gt8spV} z37ONo$Chs4$T0;1ZB8)q_oRo{IBn4vIs2JH#v18h9QGa5f$T;JosE6f*^QaIE)Bu| z!x_AOByhmB$-L^zM_%Q^e!?9-?Q)Sdp^BJkJ;1OhA_A4`57b4nd?xn0hgzrvs;0=G z#bA#GkPR5D+0>lJL?=$KKQ$W+fQW(teR)f+%`w%WJ~jH4iywOKcz@>P+_=LFkTQMY z@wnD8z!FfGZ02p=`D1S9F@|%?EBP@&AgyMDJF_tfjm#yw4b}idb{x*fLt=euw*8bf zl+cn+(n05TyBl%{93L_f;>JuLdn)1ZOU}dcNEaa|d*2uA&#*$J^s}7H;8%;5#SSKX z=<7At{c60 zZmRj=|BfC4?r&#f-3g^{KSmyAw#Zg|l?8!e^qW0>2Bh_>Gh3~w`I@NWlrN;?eyB72 zO?XqrTUlh8?9yY9-JaijYIgTrZnfBk(fmH?v24c_lt)fd59mt#Y7SJ%59xd$Ud{vHM{W;=3Hxrne_Z-UhPbZVGX`f#skrp1GL}QIdPy zOGHfL+F;#tfa@T zKWB?wQ;;|JiP4gO>bMt2cFOMeTFK!y;!D<>QP8P|!cezYnI`TrWE3dwXWtQI@`l=>sfi!~EajN>Z^=2C?MdW|i`%h` zsEtZLRRyPd^n)0Ku!-7e+@WD(!R2+*s|^2NmBT2#jR5N)3UNDP2OF+0t{qxhCR=}) zQ%TO6(|p!6s3Me=LC|dFpPom@FcvxHrF7u`aP5l=+Uk&FZ22w*m3k~}i_STLSk|S-SyfWy#vkO%l`n0YYL@!PP{9%as4z?$B25#$(t7Yd?Vn zE?~K0(>uI>%T~oNn_=#_h}5jzC8VXCKvzLZDnzqF?(2QQB=y_uom1r1-@isd z*M2{7jZ!*v(#(yy?Nzkbx6C@qbIob`XEUVSf(L$atV1ksGJxS6o?PS0(Z=;Xm;Fax zZP~F&zweX?wP*!ygelu*jABXudukq4WJ?}$^`U{Q#aWZ^{J(_Sdzs@4NRib~mN zoM$@edUmG=WGX4U*>1Fp`4PBJK8C0EaKL-#Uy%BZdOVWaz4x@C0($dfUA-lz1H@Ss zzz7f9s+UI?lS0Y+2!~0R`gJ)if!KVdYYQ#zgj zYZ~CtM8%`5Rl57}q^=~C=dC=9bmZEYCbtFMn1jWzM*q~K?gS$0&GdQvYx_lM{Oc4N z*GolnFgT87#~#-I-(rS#c;14_Jb}!GX_gfb1}Ma3m!Lt+U#12ZT{^B&3qca7(5m&6 z681VN9_pf{jI}K_SVGdn zWMoUhx0IDV*`uiJt3S#}qUatVgFezVak~FB*;9LY1W1m_2iaoSA#gr_TGT55ym^L{ zD9tC%)#lfVAa2GLVQfZH|6uYfkbuM+k=hpP29U|wA$B?!z`qMkAtUII#Cgh@Hx#vw zRa|gZrz^z(gd>G!eveQp10Q16#J`L@$;E-QJ+-x(*=~o7-FD0X{Nwc*2Nu{lUrz3U-%`Odxc$u-?Mqfa^8WoI3vLN0%(R(r|RVmXpu^eAH zd+By?KaO9WMZS*WYydLR*AhmlV)^SX1>a}P(R=;go20khl$6X|IWYU~wY zCg$&&VjS}b_MmBN`U7fDUPoZ8v6xHY<3ixThD-iv(t9HQS z)_s~Ml?tq5wYP9kH^l}jy4UqFKM!?#GBn7rJT?TiVv4QUq{hUPZKv+_I#lZ8iD|Ky zTdV*DbIg&_!3@rsDe(Dxsnpe#hfl$^+LAU&%K8GXpM)wZUq>gC|A-H8n;MXHs{&XK z4$OII)!71nRy_cM-t4E@ivqN-aeB_u0(Ikw=B8}JQLell^AqWO5Al)2e_{RD&QXu@ zq;yiL#?(n^(?jI1%ODJLvOGoGq7iW2mJCl(5GSch3~U3q(@b+NnODzPVoz<(YEA-= z5ZC1K5Ptqy%$<3>c-1j-p`sQ)kEf85APh0p>oE%tDqsjb*w;AG=2)vtOiQ3z8CWvm zZY7I|N8WzQ%%!P2oqcM(FQ-?|6LAo=vc#}t7pZ`}N=GS{r++dm-!+4kcLI_>aaDy4 z{g@lndn&?DC@ENQk3 zRl9@AlF`~v3sr0_A|rhVwVZx8KF8S$;6WX*D<8x|A@Q?N7dPW=TP?85DvB`nqw~o6 zT6#(zUBu-fMmty2Cp*>d)Ar&7JAjAqBjH3lRrbm_U~t&zf?bnV8=Whv2W=MkTypaD z$U2HSl3~OVLhLxa)_)0=q`iwK+@BI`atMR)j-*M85Y!gJVPyy4{Rp)|*=6Nnu>l~D zchsSglSjzs-`(fzpbRYy%|Km|BK^T_)?9YG$fZnDP!K3i!7oXpJ2LXLcI1t!)*EZ= zb=}IhxuQ(LBfw*o|AbIx#QKt)q}ke#`4ZADfHVp9RvqZgkIfl_pw;jYXxT`%okFo^Wz$QvQA)ad4 z8W|6BP)LW@gVnh1QNc_CAS;yE0gr;iw6CP5e7F9kAOh1LV%Rc0tv}IEZoa83Rg?M2?r#GbuJ)~?RHpWmz$|> z{4cI-F;s#-N1kcyD50A++hdv3#aB?DG>p~?$Fb4cD?{Ff*3mb(g(L4|pfVSn`F{#k zgvn5lYrGIlwsi4FmT9(KE({L)2>@}^--&`z8};U`oo1T-Sk&m&0*Q~(3JfIBJIc@D z_PQ=+{L)=B^IbkV5I-*+X+o{n*PJ6C(c4RQzo}H`R?)A{W3w0X&=Qv0;U=cTuwvFXI@(xaTj!tsT0F$OdonDW9;A5c$LcRkg=a@T$|Fvw5Phl#h*MNHtW>r= zm!hs1SN<|Rc1QfJ?&Y_Ee0Amhwrj%aUsNMUoQ3tJwCkwb$HG=~8`aOF$Vt84@96fV zpVSf?;R&(ECnD+okc}`z7j9AF5VRPeewGUF_}C2K4bgof1p_Jc5zm#4UTxW=8ml0^ zZP=>D4+M{?P+Z#LRdR4gF6AgD4{}tol9(d-v%`he&Qj~QytJ*!l z#-~kkSPjuSDDml!`fDGr9x&E}cxIs1T7S&S8FOfvVVkEu*$*TGj*qats z5Nv)~dd|NIU@K_5ytg zX-hxAGM5(R8q!FcsCZun8~JNbZ48RwAVKDGQk8?zAlCu0rI#CgI$Rb9l5K#{`v`ka zE+5$i4hUmu5Od|!-?N;XEXSO5`McWOme6HxQ6p=?U29q6Vg9kbhQ^m=acscXEtQzCK`8C%Z^6n`Zi{^7+TQThMA; z%|>vjtOv}slF|JWG zvsP!xtCVY1n!GhCB;?|pQgAym7S2UG3s_3?$J zPeXO+e$IhL^H^w5bArQx;s^deyT;zS;VnZ}co z%3ERq!AYGyTb9#XvKa-L3(f3)P(+; zg5KvGP4(Iu9Z%lGvt zx{Gqs)#SQLz@+In$O}teaAu<4kdq_Al6zZdkj|Gy z`wdqQsWhF*feUy)kNyT4sAEcoA~4y^_l;KoZfW{Tkr_+qvdsWKyQMloq^Kc#o>Uv0PUI7n&Q&D+Op z2MLzHBg=@#fT3e1VU;hvufa@SIDjm7L>iGW-*tsQ^csq>dz1LCB!Ii$v2*u)nPe*n zqFWRe11yhWIcLW0^M@212@LAM$xV1uxajm2e~WV)?#B9kZW?X03H3jbu`TA+%wo9G zWd*p|kG4A9kvagTnB zUSOveZ^}!wpG%J~!{2V#Tab+iGdk2H1Q4%@KC=X&?;LJ%U31tR<~hWu^{_JSE)lKD zz9VJyUVEK$UuWvl$5*si@az{l_Vic?J?hyP2BBW0q-n_Tbtkfv_MxQ3*vCVs zoSLXqPJnZA?Zr{s7V-62n#b4ZYEqOibf^ua62gCKq3ml)GC>0O{eWt_So&1GEAjp! z-Pukl(Ec*J1mTdnkmo7(nvIu#5Jb3KMoE*{=_!hz5%9apyagvk^_;K#-0$KehE|{E zyR+yX8*1e?oMiQZ0ScvLpIHV`&au8pe_BmE2`z0eH3+x;f8{jFY(iF4z9$wt&)~Zl0a`MGe>H5Ej)GnI5mup4Hdj_D`7&sZL?O zBithYkQ0{nJj&wy%eg%Ai|P(8ejo7aB-q@K`Kie`J!an-NIAj%$FO=mUc6S;8Kr$C z7|J3)32mzv4iy%c(?^tsB^jO(J9GlZA$H}~q*Jxy$|!?wb%8vAj9{X1@Tt3#X;=(5 zb;_fsg#X8zdJ&!PF$#wma0U;RuV%sty>F}#mxuqAa}yFyNudj%7Sc}%4ItSgUv5Ij z1)3`Ex74lxsqGJKg*7kVu)fWgXukWw8_6{3VU1uSWa#6#!>~(WqdaV{bWq{kPZ4ET zM#S6r%UASN#~dh4&!BEsJL->S*ZNIY6ztA=bXvz$Zt1ju z!ATF&60aC+)1wUH^#@)-z1+(1ZYt5v*xZDhU1AEfN|GlKH&HA|Weq!p-eL~G(~!em z?kkoFPjjJwz-0A%^e1AIMM+)gs}#RL?q(nIF2WPcgTw@j)`Mq~Zo)<*cPE;}vK2E--IF5hEalwMk5jA(;zWb@B`U92t*4yI!Na6PIY3Rjm` z#$;wGEnV916NtC&Fo1cgy~5J%t@_{r000f>MYB$gqbPTwjJrnxefCL4%PFg?6wv+{ z%M`6oq5$@ZupWvlW3fxQyL1=9cxYwH_ujX#{cY&g6vBCBg)W?ymGHi3ou!K zM}7^}<=U3ehwpj5Z^Ys#;83P;-8>!6h+1_ArUk7B3RgbifA8KuT@~)c0tFfUY$6-b z&Dq5Lzybw+EHU6+CejWIu8sv z{}2MJc^cq7LOd&ny=%^6Jhf#;V*g*GuYUeu8HBjr?mU(>UpY|${^kbs)aEVcinpK=SGf&UZJO& z1_=+kyO;sCYG*L3Omj1^coJ2LK`Z|SN{K@nX$QDig8`b%@9l-NAKX;ii=(H@i!RNJFQ zQT_lU__j7SU7|1}aBk7NoPB$PTXqwoigt5p9naoUXyTnD$9`ryK_2$MKIRTm#iv`e z?T}Yw!}5X!>$$5ZR1X4*W1&{M0G)rA?4Ir^N|rw5JvTEzJnGc!o^bu)m#^nBhJ$*j zC`sFOKd4Txu5M9Y1$y!CQzO{tj|Rc*`#k50)|8X|wcdH8v(C6(z?0ibZ7q_yMH&$N~sYktrvCj95%V0I;T`himviYuZz-+Qr06pH(+#M5NUcC_Xhq3QWnifj)DPPF`vbRL{mXQA< z8FCO~Ukj_FjeZhm`#6g?C5!48L7C%Y%S z)itwAHhQ`v3DLQtQP3(WK^imJh>Kk@@wzOn9YU~Cy+plk7mfwW0$oa=c545Ih|NN$ z669@t(ExfpM807VH6E%k6Z#J^FH%jghtbnBi{3cp+ z39fVRfiNZT?vA43R;?Xs%qf1+o7N(-OOHaGs4DDgT=n9*FV=|2?QW<^;ZNBTqcdff79qGPsQh$&CMYg zkZ&=&#zI-oa#d#78U3<{0FB5u9Ugl8&kdBSGvUV#e(ZwN46Q_GKlAs#Ug6@8P;tDr zMpErrOV%R#cS324H+xPX7Z!6T#dv|x8&|NL%NS`XLyFA}4md1pB$S+gIXVM&% zD+m^9vr`M`e6hLgHA`y&ydIGy7nHVlxLPs*I?E1aW`y72)A7uSPON@8 z$Cp2XvW$vnAUOWoj!2N9${}u~*s=(4r7bC!FDSwTJWMkmtZUsElDO=F@<$qy zr3YIj+02v}Y_BxCrn|8V?y&jRcC5f{L5uKYA>C`CjCU~Q3DS_RxiUyv7&o23T&CK| zszjwoTR(&Zd#>VKwq7+&8EZZYFuC6+b`L9ei}M+x3$Cd^iewGROO!o8bbL~kD^6IQjZN`t>L_H#(k6F|{ZBbs}v&*%Ws zx4&%UT-dRAGsN^xRtXyU1oEa*r16BL0l#n(JKr&BBl-|_kaEmzJ0e4VaLfn^oSGnw z3*pVXPn~WxC6&c}^@9)70rLixg8Q@x0fBN;u<%s^Sf^j(j$S)Yita>@X0ul47FBK~ zOvBN(PMtJJY(eSChK-D|BN5%Q4@W~4$9qcjmq4$EbpbA`_X3(`$?_(ZDIukl%LHRZ zzWi(^%BYpUTo=G~>5G&jz2!#`H2aI9VM?(9Z?#C#TCPA_yS-7kzdv9zssCk(gWJ` zj1AWSD#s`+ z`b7y;yH_(oKF+c@ibK-D04Xqc9}_`iZq zO05~N<~=n)S%uEtSaH7-=!xwW!}vvDN&hbIjd;LjYU6(W(Sj;@#Cvn*DI#q zf+IRJICO4v6d48T8U}Lpd{7MrU?+o+*PIajP56BVZRjI-wFD8FshkSCt}uPg=V`=? zq#BNw=*_3Nre1GQinWSop)v==YQFV6t%zSi`m;X-wM;y%OD?ZeauKOg-QUa!D}n{} z(d#4}=`Ge#yMq<7%^W3jJmy+`ItEC~Rv_<>BBhk7I zAI?6;FP7>K0I-WJz^zO+#)dN(?{acd6T8IQcUG)()yAe`eOIq7grq2Z4 zLG>Opz@UYI2iW3xW5G(evYPTsJMW&6+Lru5{OVGD=Zd`VHF-r^RZ=jpt z-FCx@=^f%qyYNvy=-N@44*BfPL9FV8duLsheZ|_(6;o2BQYd>#6yO7($GGoNU z)=KYAE*?d>TR?#hYr(7KzqYebbZ(<}!Q*0z9Rzd2=r_((BGX1o5284HSuu%W%ft0IC!zx>FW~E=g0fdubjpn%0C&+Bn!rQG>)8{ypu-FvP`UC+Xvl;im z!-;-(y%{_LEo`^3fva`o+lgc&{q^yr#-$+0wTdZ3-HcY)y;hzWriz*^49lh({0x1H z@ZruAJtcquPtigEQ2A~j<~r2pG4qi_kPtnT>BC$x#qh%(WNbj@^Bpr$+zqEDe;dCb z*X9+VjIh&gJ9$Y~jZvN(#gLB@BmLUpG+O9(@Sk@-%NsSIh!Og-th_-2VU^-x)=SS@ z{m~*jV?^k3(5}iHK_i8g+lUJEeLX1VE)W+ikWA>HotvKimIVwmTFU~B+%kTA=8wC( z)jz`I-!ZrE#GJv=H4?y9(3>#RC4X6B?hy`{-4(Yf0-hVk!%_rogj(D#MWxzN=kAG; zPQ?WYLzUiivjbs~pi)hKidEu?W9%S2Asu2oap+^pX4fYOfC1b)F?>Ouf5SRRbC*<;*b6Kr_$^L>LhboEKF|sW3w(z5v?=_) z+lNyQ=dhEPaNNy)W>Q3tZo$GiplUYCP?u#f|BSnG8bGd&FeVxsnha_BYOcw&(9I8A zj=7-1V^_pkMGF8JbXfFQWZRX;ot3X)qb`o7#!NYLpLLABq0p`Zg2`BXkzW>Ec^Mtt zlGre2t6rXXE*UB|mtbN2i<41I!GPi(CN<|-pcWXQ-A*un0=3#}1)S77N(_Jszjq6; z0PykuUzkvqNSmKhv?k2=#H|yJfy^EN!a0yE9#Uzd=RKPu-r{j!3M-VA9T`F=2M+oD zXeV=TLLS03A-98D{$+iQY!%bLrEJ8gl>gfsN{6>}3}gYQk-(%#daG>8c`NRYdzKtP zt$jM_MspM?xe>j^otQgy4{tkN*8V#4E@tR{qxl`2g>0Kgt`D9oMmK2%b=O-?YBu%C}#M5H8>&uVLRt5HF@M% zBEXj^tc7-sIiM3E!J4;;>X9>2nqbo(-a_+fiVmU;xJ7o$J}x5943%gnZ~@Y={fn8O zul5!fgbZDFWzZAI#vX*G>ynTw`EL;#JMK@GM4WOgY_g?5^kq1XKP^K*B8E zPbd;-4@f`7eFAJCsQbdDII$1)Ae?BN(cY^ z&~)pY#|id5E;yvs)F;<5J4X^G`%?vYc)pBB%OlP$K5C(Ds=08Ea)kfnP2|SX)@g%dnMMy4Y)Sl!B zSwQt9{3$dH|G$B+AXeyh1rSRA1K=@~;%rbf8*5c(j)*ow%B`Q@&}9;$x52YBD-dHh z>Fk8PzeB9f8v8$sV+X`jcZX57W5Nr!>mKDH=f-!&Hu;k3x1?XUtrtZ6BxU*{gz8PP zO=(5f_l`~D{(5?W9T<-=ZSfUazO&xjg^Dd$k$dCU2xDJ?XelH)drTt1}>ZXyJ4p7lR>&fTYeMNqx~q^0u3R1 zJt5vAUBB#m0BF(OMRIH`-0fL-Nc=nF=RO1Z!VvV-rS+s3YJ@5}P#Cw;Q^y%;#TA-JXD_C<&d zKKUU2>%}(&rtI6uHNK4U{voFm*^BHYHS-DhoWX$GQY@`Aj+B0v@5w1;zSFx|$liQJ z-I{P%d1}^bgi?lle&Gz)`B1e9`gB7Y+Z`fsIi?Oca>eQS|Y5xguF*$3+tEvHYC0ay~E9xB*;t;8xnr& zT!V5rTB&iHaDA^j)Nyt}r6yU=l+0eZWayOm0;%-q?9W*jzOqUPkRH6*RP4xs=6lG1 ze_GqPS?H`KJ=toQE^4cBD`#^VVHCAtPU_hCXL`~Di!4(v@aP6- zNUuryolw^o;;KpNoMVe?Gu3Jb$t7P(yZDzN*_Oz(m~bPrS6`>vYpWL{Pb{UaVmOd^L8H9~S4<~ER;jWzUIODs)c039 z52>~u4Mf=-b=jnv(o-xH!?R~%VRt2S!8wC9Y0|Zt&3gJh=|0IwBD`yJrSEL$uZC@o zod;>A{ZmV2(7xY-cuAS)T}oWo-03RTT|=I6Mr<<0SkWh1j*QpjO(=~BmWicH9Q!kg zg4N~pd-6K-TY;e->lb-MtMdKYTg9GjuvPsQ+goF5S57C>|AjgBP_q-+hV*hH`mY}A zrDx}S!Mod5m9G519SGsxS@ifPoOq>bt;dF*)y3A;n050PG9L-Az?P9~7HkK&iS&+x z$P<>1J!M3JUC{hhg~v_}V*cDq!*6p4fy*$qFF<|z2==^kueNYgN-4FjZM@Yfar3a- z&)1I>ovQmb|9+|dGHZ#UF0vRp?7(XsTa`iRKx~|U; ze7sb7eYr384k~iKO|!+3bDEyL5JF$e@U6Ypj(Rm+Jt`k~S6mh8B+SLb{HIzn6Z`4Q z7ry$lQF7R=m~m3Pn;C9Y;YEWrK!LW>26=HwK12uX+dN92h z$|c;w{-40qs92CBR2`-$Ij);%mCM_eOCN~MxZVjm>Y_(0=c(++4ShFdd_LF<&{VWUXbYOJZ*w;@h3+fMU#F$Xug6IJ&s(; zdTg-_r8TqU?!bXv3{Le29|BBh+IIb?laRxq)uQgXa0pUA0@`rrI3z-&o4Af z4zIY?gEuBvsV%xz&jCiC*JpBF;O7`Svw|;nmu&8|#Ds6sE#ZB6!arUj~ym!^mdv+eJ8JElba#4lS?6_exT)&i1P$;j89U^~G(y&&FR+tsN{>MHr%uTX%X015G5m$9?hTj%nnZaxH5)2@Li}&8QZ2`cp~_(JyIw3( zw?Ez*U9he`tLajIOD}9gA$9a0LyY0iG&qy!&CLb10++O;m^;!ZAo#9ZW*R_NsOu>^dCt7yT-RZieKl4Bz&;1u>N?9-7 zL%!C#*w)zoapruzVs+y7vCV_^H-0~~EM}0k)x3l7C{TM+o_Cij+c-w*X0LyMIBod9 zX6_sA?ju>ha`TJMZV3A&bMa{RbG7jL<@QIi>W)2@i+f}IZu}biW%t8fp)sOC> z{=WbM0{#6tdwg|za}{yhU&eTsDwD2zCRXJPdjEYk2-BSBZ-Rq;DB(8aS zP|~4^M-;y`d;Lj|WvTI*bZMW~XfN?s-*@vI-gTYokGOTI)lI3yp>-?E1`kv6xbM$# zlwwrcjFI#1g{}pnRD6OL-(oit4WO8Km4>>U&;c- zQP@96Y@^E7RBhEZZl^y59RhLTa`*T@rNZz`l+-bgtv~FQf7Jaiu*S E077b@SpWb4 literal 0 HcmV?d00001 diff --git a/data_application/88soils/filter_onepercent/soils_ph_lasso.RData b/data_application/88soils/filter_onepercent/soils_ph_lasso.RData new file mode 100644 index 0000000000000000000000000000000000000000..370aa5fd68fdbcd4d96c620f09ba0b451b7df9fa GIT binary patch literal 14352 zcmZ8{dt8$D9zU(^v`#H&ty!6JPS(uIOS8NS?Krb$YRx$rpyZ|$i7 z;m4qNv|hs5G=3=(w&N`!Y5jq(Pk(jp@ONKd+@4Tac5amH;dlSUw%FsF_WtAMhl+oH z`0Op^Y2OK#7q2#LP0!3KpD62WxjUgd7V?qv`Nr=Y?%fM4BAmZ|j^&afYCMmqG;>R) zl~uAz_pFhZ-tIKsx%e!pXVwT;zoJ3CREGJeWKhF+fox^PFIo7N752%<&-R%sW~tvo zpetsP4M|H9KDF}el;>A%kom1dt+gs+@o!R+Xoi1p8kwC&{aH&e4rVY+dC#!mDPv33 z!kQlY=AZI6FAAutS}=Z%#WdT1p=v?Uir>;NIV-Ol5dAr3NzKy1Sfn1t&R{eifTgi| z8?@nxOCq~-hDkdj5{&22@0ubQdC_`84TFquGA0Zcv_0>77!n2sU3%1}=EE3y$y&Ge zwM$JclW#n#3{&X|-sXgBj&3nC*7RfEzsN9Bk7*Agx>81KON>D|3_&Ui2gP0qbGY-!B0*n6VzY8@7>j{YlTYof)d)( zjO@-jn;l?gp>xtKx3EJbt4Q#@VbsbaQuQ&oS(z%W*%-s(l{6e=hA@NS#_8W_g^!n% zGO@|7I*^xeCI`ZfAb##I{aw&PR(2<28+4j_eUlEu5tenN@xwu&xV$^U)^BEY`pO%_ z^|wfE_mf~Ue5?k|pGvz(nYl;_g^nA}v5_@3XVp5*YehqvHhMz#_sz~kk0L`_y-chD z5Om2?d3*<0^|=L1ah1(7kH<@S7#)P$Dbi_66J=K5A?26DRKkOFJgB|a?jumX+`VN3 zFm-2z!k*emw>PH=`qs66vYK-&dZy_4AD(e%XRM{QyWe5+{be{4{v`->%=0Cg{uFiI zI>6O4fB?=uiP~^4Shs!3FR?##78yUG(SMsWhcw~>V5SLU9?Lj^Z8-=N@L%f+DVdu= zpc@5pKM*LJ>17Kny5pdDmm4HR7KyNRL08sbsWOAe7gtABlBD`Vdct%r@)rJ>#^WLN zp%~Q|;sE_(Vena$BL0v(X0r4CHnsaI+HG}Bm3B!4j>hclYAfq%qxUw1gz=`lz;0pv zakiTuR$4hj4qcdK@}tPT#m-bv>)&-jlzY2JNf9(h^jY!sNEUy~Q68w1^IC89p3D3L zExsSLer(+ET{skYlb@Cd`|$n9f3Nu-ek3Za60sE97+E+;R^%b|spvlHJSze%RT#CE zUp|Wc0K{)w#?5-IqmW`l{s8o2q5M~mR%D+e>%_*(9kdpl=ilR+@0z5rNZN*}3C)a@ zB#~|R;DpUGJBS;embTPDV>%G#ttlE?G<`}h^njy%IU(Cwq0a?aHJrb{jo>sF`sq?Njq zo*#|1Ra7potI;r9rnJb#?eoc00KZF`b#dLRERdUDp=l(6$4JBvb8UJXWe@eH6v5{G zDK=AunNN*r!)rOo@^v7O@{GS&1A+9@?fPI3XaCpxRKUTevc=V!X8js=dOZ6p+u2wv z`fsMTXWKxXH*vc__iX7ApeLP&O*=h>e`yPp59xt^1R%*rX+gfnO|6TCyH=;>oR+JY z3!6(V))ny*I&}dlfE$64@1GlhZOS5#ws>&=1_DtoRIdYg2Z54Ziik}E6lMp9_b8st zaMDC}!8ASfJh%s>(4H*P+?94+#D}oXCQd6}XG4*^_vfGbERD>1O=wZ(OdCHDU|iAt zk3}Ym2|#$^Vd)2!le{O7BK`e!7CS#{16;QOiUOtpPuOO*^KmLL0#NoK5*YlybPrLT z04$Ne__7w5kl%T?#c>=vLV5P}EGEi>*GT29VvtBvc|>_}ryREGwVHZK>({w9aG(L) z{F~x$7N+vkcfy}8o+fG>@sxegb)X%;x7`TWQ^1!Zu3k1E8Kfb~e1}x;P=JO2g5ON9 zFfJd!zw!k3@}X-0IY&?A{?WY&G|85I-yf8@->5u2-}a!5fj>K2{SL06I7|%h-Fc&m zHNBqQ*`>1PZp!pRC-G>P0G8Ls_*Y4rlNVUS;LYT z*N>EtWX$!T=E96k7DJ6wHdFAtGWpkRnRS##2S~To|K)}_^pZ{CU9vI!vc zozg-8F`&DTih=8FYBCKzdy6`Dv~<;?hhy6&AID{FPV=Wp^}{CYgP~mV0q~4{4u@jG zo}oV^D_i{Dt1Ez|K~B}|2=paTArt0+MfLG=k`lhR=`q#z1Tus<~CQ|UN*4{># zif@Wd3f7-hq3NgD+af1ioY9q3^{mD;Q!T3(r-MKV34ZSk+Oh!<4rSZGV&&hSl%kIY zzgN-|^^Y*i7$Dz9MNR-k=U>suOV#TSi7BQ>$&|)<-YQQ#-?oHnq{20_5dP?8e2Atu z83J(Go*27sur}5uDMIVn$=|HX=~@@JnL>5xUc%Lc4VN*HumXgxzf+aDU-ejo6m;sN zkIz90tFgOD+K>#n` ziz!mCRlY^At@e{Y0XN;@PEC4?el0s;g1P;G=j&LW>f)$oyT*8{)P5( z%Qij%RRvZ@V_&@HZ@`|G0z2ootg5L0>6BTYRj(oSVm;QO2~B+QNG4c1U>6~4O38y% zP=hXv8eMdnPTe_j^n}l!QHokJU!#hpMNF9MuPRLcq6eaWy12~n@dzE_20)>0^8_-Wy#87X2~*uJcewjs7aBS|Sfz25{)Xeemzc^K{SCz|O}#Um$C zK4i)DUVqIvq2}2;1yg?Dq()U*O~ovGf-ZrL=JN}-t?4kc%SXnyd3J#Nc$%Bp>utfF zTg;*axLK&xTc`8yNmQv~w2iX7s0sO`3ZsdtHp4Z57tR;#WUs$;wWdo5#Bl&TKiBX! zw5BJbyPS=!e_!4Xs`!D!XLM@1mJ1k9QU8ABIgaK=^j*D6t@+P;ID?)v_JnSHztLaU zz16-S0=ZZo7&Vb`b&S|y-!tFaDEM$@b`||tBubdN z8fyX!Wa-;k1@|)N;eqBE_$)Khu1m_RkS0wV&Z@nz#yl96Eka}SCd556+KJzIk2{Y- z0lNXM0EySYYrg;L+AaF$Z~%15J0wtAiYF-QifMgZFA_-<*YAp^6nqZX@IP?-o9?|! z{OYJB(%jprbfnz381pgB%dT}(7j$0%3q)^DGqKpRik4J7OwuLM*Up%@`?pn;K@)TZXZgMqF;6{&Yos*ECPejQ#dr%N1!L& zJFGsqRNu&}yMRDyJEW@5fhe}amT&XUQLhWAg?$jWO~eD%Ngnju3d%p+w2Rqtv9fn1 zgYIDu*C?-nKrr{%pI+5K*0*jpehg${H<~P)#-S#sK|4w)xKtPoUk-`9T4;|L&Gs-F zpCt0n)`^8+@%*$(S>0sf{%#ogBH?$;mwSgC0Jhy1!vJ0yZ{vZhdMVX_h_#^gwX@jS zvMPu_sqrBrf3Q5p%|_XL1kz2aHD8u#xh~O=Srhd@D|(sdm8L_@ zuC6})Vpnj#-8sKVJ1{>Zj??Z5SOFmM1iWHHen>qr0Xk&Ktm3faP|)O8=Jjr;0uaOk zduY@K)d%^BOF_VH`E9MmqpsRbpi32LcIHc|l$0QE%gOSk_f?&gR*_H)VXv-5P_Dx# zaI;cUQ+Ah8Lmg1$)IX4dG8HfKj_+9I*EW!bPa=}d@>2w%-hYH zoD3Uhc6KmzFjxHa9qQJt2I@C}nreAKI{hjhV+Gn=CI34J)J%|jfk3CvsdIFn`*SH& z+Qo!IL?i`G{1;rlB+dnaD$*nPTB>kg6BhxWq33XvZ8bNT`n%*@tKEQlJ~)=M+O!g+ z1*t&!lGkceQ@uWV74S(SohD?)wB_X^Myk#jh=*R7=JC$1dZj5zO}uT5ER9UsdZ!Zq zpwn67yV)5sJA?wVomXo=LsTmLRO^dzoBZ^YNQ)fb(Y^ij?ov$@-j~k=VHqD6w_3skmgH{?~e(Jw$g%HX=y2rUHhs4SNOy1moB`r>MWVt{v0tLL$)LPc_7=9#n zg^_ttR_DkOWU~qzV|kmO){&w~EI!I@-O@lUjn`@@O!hA!nyzHS=f;>@_41e_u}JN= z+lhg+NFa~{s8G%wu`8_R)ytE2K|2eT%un|hH2ssf&f**`F&B;daH$&21}yE#7o%hV z8LNYsP5H(p$EAN~e)we1bj+qR6! z=I+=g*bW>GxwNb)q7( zIzEDZa=C>#E+HSdr0;2IFT&3PfwjLy-P>r01}dnsgSvgZ8lVEV@co`%6KeW$(vtOd z6;x$SlkiEIKev(kKLvoWnM7OAv925BzozGh+>#bP=!O1n$eWdPmT}+_6iRUtN4{MA zcsX}6<=mDsXV(yZTQa4fjO?~|$p4ay%C@sW2RSsd0hDl$Hp6=){twI!zn?}LpU|a8 z@{;;13Go>aP<}{a<$BN)<1O)G;Z-EyHuR1BQMOPwgP*0j?&47g0{P*Zeub>io|J9| zHPzeQ-S;k9Mv-bBhJE4;aofAR;oUiRY!z5HHh@9fW&-}p;{S8ckKeJJx2Is2Yd$r_ zoZrSOUIz;3Na2^3RwoX&Xu4A3A4zjRp8W;X^g9QT(T=|<-GLhNiDKLVlz-ty1qd`b z=miwpptv2)tknSOe=CvJPk;oZo~%!6#L*I#fYhL{UcVC!`NZFnD!P5R$aKSm;0fIl zjd*f=3x^zn`0{TkJTC}c=(an2qM`R^16yDK0B-a zh;qMjUBc0Jb!xIazGJ4^98qo~cxbLHRxWoY3sWg59WP7fStA^?f`XGhyy{* z|2Dl#B0)d)133KRhHXl13hGP?F#P?n-=$tJAfCRDalo6_Z&F~C1BamORiI{XIA;aV zrWNAw)7e0qp^iE~nr#*c8>#GUS_H9aCOyy4GUROh5ADC-&kl4a9i^8sn{aU0tnpAD z=i(^;Pz9GF(;)j(I0D3|qJ0JVq@{byA3jbwmg9jyoF6$Ky>mBHp;*FtPi$pR<7yfj z@|QY}ZEGO{#sSdg;91_uokObXL_95NLKMXYs(oZ-Ta~8fSx$Ibo+&*~w=T-rxaHks z(ChKjEv{Px)Mt&xEdq_djza#CqnSQh6vk$NztIAT$<%j?Fi=HevIHF|{uN1dW!II% znD*a5JVG>-V)t>(`naRZx}T76-tHlJoa@j(fn{6M6QYSxN2rrvcItkn7WDcPi3=Vmlz$c6|Fx!iLza=V>Fxf39prfW(_cFSZx}}b4wa*^ZdUBO~I>h+?fPY={ zO*bUo)VAk;Rkcx-;-5hv<4h+HJomZ6;t$_Zet$P@GbrjPAF$>8{*EfwJ8%He6(fBB zBmbku2~G}NrCF81I9+fcEi`r(!C^kL_CVQvsL2J|TO0-##i|Vv*b(Iy|NH3u!yH`e zhlb0-ANZ!TjLtg9l}?$%gQ0Q?^C$<;(b#bCv&x=Jl!|n=9ey;|MTe5b1K;J#-S8Xk zZ3@6!t-j{+=O%FFM(z}2T>=5HC{VETzv*zpC4Q}6KJKzZjn}W~r zLQ7IiPvXe1=XaN3nLAn`%lj-}0L>B@oIN!z-itMIzm0A(Rgof$)QCtLqvHUQfv}|o zDpC6dTS0M$ZdhuR|Iz1p*-yvP~0%Y2e8<>+7xXng-DV0Qp3Py4`~$_ zrZ1Dk{PbX|1(HubEy7~cBjoTLh;tsc!F8BkOI9t{i${lJH5VIYNOdC#&jex?i@PJ+}5G=RzZ9(6kq^$?F-npR!j@)M{3xP&R)PL2R zugc(5N1PscfBMd7mN*a#k35%c7E`$$Eqt;s2e6L{`JVUVmVQy0KA8U7NW}BUej^m3 zW7H7{u+0Yk8PL5{Isi4Gn{e*k+$cM-;>J&zmRtnD6GLad5Un;G0OvIg*=ReeKKGXm z4PVYOMK;L{+*M_dNF=VXbcWtj=c_1bMJD)dcMlm1ywN39e_|P^Xd7`J<*=@E9#v_YaFv!Ki^NhT z88*h4SOeC!8F$$Zkn4^w`O|{t1LjIcDPliIm6As=Vm27hX<8%f$cE>I>z;OOGPT z5vmk#h1HY?tShhSVo(R$GJY&N1(q?bdQOq$AS(lp7Fjg>WGc!s7I%aGCDAVUU5h6l zg@w8vJtD>-CZ~wJU6zihWya>_uJupUqvrLkp}K#9uEvGyYC}%`1?GxoM!eXV4umD#sH9W=U@XGW0Y4U=re{RhAyz(@Y>2WFCLT^;dh)-Z+%s4X^#4(s zvp#ka3HUN&Csvjf>0!iXR8#}911P_985h}!!==H{w zXxcc#_|O+mIY)zQvQi@SSydn8N4%y1>BR5|TTJC;o3Wb007*^-mHorCQDy8&q_Nq$ zfzwRi|DF8wD}=le*L|7Kj<)S>7NgVNf0~PW)@C-v>J-wFJ$_CDNxN@fVcw9)eto+S zeESL+62FxyT{yX>ThogP#4EgMNr5|f`kyNH zVBlABLI;NDW#xew7lJW%yWV?kgD>A>Vt+95qku=YNyf5C=cm}Q6l)Rnk-D6Om z%pELoF#Nfk9`3@t01iMO4l*VKPdQjW#htq5WV+L$jZN7ThNpAZCRpFp>Lh}2Ipk%qVy7^57No|j2EUlC}8e8 zW933nmMWa8Wa7)3P{cRFUI#n^lHyVI9Cafb0}EwD26fxM$&tLQ7dF>gbNx3mX;=@K zO_f_kbzxZ1Tj}&_zwz~6!%tq!hW>89nZkqo?grR?@mDTZ4JMxNMskq?EqVGee(yl< z7x59=?l*%aZsjE>!VWlk2I+4p+j6G__9BbXx3gn_&h;s;Q4Q4XQ z3#@RuhF)vU(`=Vx6_@&WS-MMoh3aG%lc=xm@=__MpLJ_2UtcHhDSyrjE5t*6P5u+4Be5v` z#uB%#pffzzo}8`q8AF1bVdX*I{eBRyeN|v`n@7&3U&-sV#UD&N zrKe4~Fo$=xncW=@>2H?G8emPkd0#{7GS5yhN%EJyva1h@w3+6w&`Zvk!l6XP8@o2*K`Tj>mA5evT0QjDtQ>wZN2u7RQr-lk>`#x< z*b@bh`a=Z&C@N5REvct5FO*fu_!iX4CCE#aqwAb6R#uEQONAr#h!)zl+}#igLU)-! zm6}ADn9!sHHiGVbb-s0;%njka=f-~y<||VS|Ct#*(sGjj#1FThj&F#$k9i@P%6KgD z$wc3z-a+Fqp^o%1>%v0CcOwFw}7%-N#WOJ=6ie91^qqo%>GvVu_su_gBC>_i8|vYRA{t&CIaTKHo<*CeSd z{;b|aITVRhjvc}E?Hwyo7$2?8CAJZ>?K6$eLZuUUPd{o7UeMev1L$E_j#$-7X52DAI_u97=j2uA|Yo zpLLTC6QDx*C3DcAK9=?nlmGNPnzVSeOnLQ7ERo}jO{v=Bibi;VfLK*j>==+@VDE!P^}o#Nk=|lB+`B30WhuJ4VLOOM$r*1*JRBzG@FW z`WT{Fsx*~K{Y)p6rQ^`Kvp2bU>d+wXkyHF)KP$g@4_qF>oxqd_3)-8LZYf!J(WOI? z>0oscBim3mfVk#H79Ni}N^@do@OBdqvV(>c$iNj+Be7AO)HG>*T^@E{xhczMSa(|8 zloDH}pt;2M_ywU(2(ry46=HF1{Gn%^seL!J9y$1EE_RzXFXUqRLAtvj_aEiNKNy*@ zZtN}K>pwEpYga0%kBA}4x=h@E#%|HeBgFTduqeCL>gm;Xm<`d^(?(f6H}d^z&~x2| z(JjWRN~^GIts=_P)UfI+0)vk#THv?5;rFVSg1yDz#a0K|<-{HFgR0iKE!8{XM~j8p z9}NCo{5IZrapY>kcCEG}#er!xB>pA|AGfvIHr^#i-qROqG4sMQY!I54duZ+k@mj!W=ifR1t2vqN;5LtBX;>7uwz8HWb%}{Za8VTDfF2 z&6?R`sK%rx{lh%YS?Y_s)OXNoN|33_e;$2pe7pc*fN7K;YP2h z@xrD;b=@PL@$PhPBrK^S%~8m3YQPDRC4faI_J=611ZQ9((}twR|lS=`|$iN zp?^kSfa|nxEUIs-sHtbm>GlmQ)WshAYO*_nM!H-RLkL#+7wMbmKMBx3uri{&nM|Yb zsh-3?nCbJa`Lucy*~@3+Fe=xc5#;}kJBJg+T@kXodqW$!<4Y0e>h=XI19o4t# zH3hYPkq-lG_`h;$wc{hjydm^hwjJq_eI>M_xCe)4qBH(g95ziXH|9?0{zZjg^m{8S z3g{X|uD7DskIDLl z{*1s}%$38eS^s|yD5$rxId2ntt?4w9_*YUGwL9e zVK>~y?kuir=pPdJQZ*xaj&CMzGTC4I9b~|tcQ>W^R?#CG?3!L`UTAW@(3)Ph-;A~W zkJA79f8>M}za<7mp^P2_r84q$OfC{5GyFlo&}Kx|bPd&f`bwJ_1C7R*AGTFV6NV+B zE3RzD6oNv2GsHNad;ZF3%Y7v>Vz(^rEO<|>>;?*X&b9Ay=1+MV$_XYCe|V#EO^{-J z+@A_j`{qC#ASkTUd|pCn!5jp0=E`B_3;yyBf)Lq52pOoD&&y&nu4ky7M`O8LjqJHx zf!rG6IB-WkoNafnnINKMG=fE#`^b`}`P?4xuQ;?6cjGGm={Rmtd?f|5!tbm zrHvW^C*JhP?DzWTKsIsEGq5{)A%H?uPPZ8iFE%XF0~=tCyJS`1`1FDi;uVzL{Lbh5Oa=G;dXc?Te7P&oK4pTYclHfoR&fbyk$0~oNnCk#T!+IefqDN zvD45pzGTY$CV7Km&2fx4qIr16WelU}Om-BuKx1~qKT~%83O_8Znk1a;pSn|8&J4EA z62}YtYL`vLMsiaK+gCivp~}`y-X3}p%~zseSvgx56`vA`VlxYU>{(ZO_4h4}X63n-;1Nz&OlMf2PS`R_QrwXScc*%AZYc}= z*@Sv_pb2+Hfc+tYPunz~rS-{v=BgUhQj(rIz%;JEx-pzqN+!+uZ&aesK5GJu<-7Z|3o$V{JU&-M zoJ5Gaid}5E$(HixEv4cE&k&>neGy+;mfVdkeL{h12>DEfV<=Yt11dARMlbZ`eMTF z`V)Kw+TeKV$WGBiipy=?;P4l`N-k-;s(p7sxe+$2uT@|iI#Pwq`=tHlETrs9y9j>8 zBiaztz0PD(@9~#ag@kcbuS=_q>|5ZYMLB_f!@@6ykY$xj%}aZlR9l{DY+I&WnlNIs z#K;DtkGCZ`MfLXrIbTcVO6WkN-gIy{7z628-(a#)GOK!!i=Wxw4na)h-ov=m?zY<9 zows#S`Tat`F7Sf(B8G->+0$X0#s5hot+GPdDVHu$OO=yD!f!7qlF%lxG}T2MJWYsr z$o8P(AMEK*^u0NpHK7vSQRD7X89LHSR3Kl)2vCJam>sd#N2f}i=aH{T z0?xQtJx84qdUwH7IHV|2x5r`zo9-h-5{lgBvtZ4^u{NR>O4y(DDELWb%_Ad|DLbB5 zy7)_k_!bK5IEGDqCi_DUcuZzdd4lmkIV&j8>nwiePAMCI8wg=Rn2;;-D>*LY1};vx z;fr``Xq)dwmTqm%XH9E;9PJ7)8;0We(h)tpVzuG7DdxUWNSz|<m0I)kw~o zll9#D?6}X6m`Gw=?&02D{7TR*8d~E{R9addT@_=oZRZTg`m=DnQhj;{QxwBAki=7~?42cvA zBjz#XN@%*XN9mNX{280A66L>CQ$Vf zyYV`zciMvXIo|xlsif`Jq$6sWcE8N4`FrU?6_WM*+l~;VEQ#hHhhm$3Vy)n$S z<_#++j!^OGS5o}Ik{_sW7sVUh6i?Mwj1O2~$Dq6q4*+GqzM@z5=i0}$FjUTcUnqN* z*hW^YLx(pbUiOn59)jsSt03=(J%mIbT$tt{Ci)7w@W*8*epHx8} zHr-O;TMR_6jl(zy-1DR{W+8~W#m3Cd?#oUn<@M-UEOf{v60)I!&r|CCw}cD~o^chn z48H6<=$oZEd;B(i6VEPwA}cM0>*;Av$PDka$uiDuN>av4A=k&54EdO@pPI zv*oPZ{_4EPGA8&)zgxmx+&%i`VM(tFbxBTVp>JQT|-`n6I?iU3J9? z%JcI6(LNIBk!Z@+@~Fk1%4vHiJ%@yIu7!L7a&W(u$aJ?o{Vp9LJ7LUS@uXSprFv>G z^Ac+y&M0-KMnhw4RsLk!v%XfTzn>OT@g4NC!zuAZ29A|?ek|)x&*M7bjQ$1sh4huv z4cx-w3C%0Hv7#1#Krb}Jgq#z4?~1>#EL+tid$K4@=eCio)Moy7WsGdzx#bP#D`QlB zi4(avsfia*(u%SAnuDFY#eYN^sZZ#%>)|0E?ZG+4qOg1BE9fO6T=6*cl|K`=%#}CZ zg)fTBx3g=K_{QNp4+cn$ixRz_i1?BBY^2Nny&*T1>$c5+@&mf0Gbh4IOGj5{$q~H+K*R1PxpPH+A z(Vg4g{P4sF8hTxQh+S|;8>zykMlh`-ivrXxG!}CFyDekJ|1?xFnf=dsuGfwA8OU9c zef#E-|ClMCOAo@`mw&CTrYNX?D7<^J!BNvVq5kJ^y&Z$*qmD!p7h-VFGZ4S7&V4H2 zU-gou#Qer%-dYrlQeSoS_F5mOD6zaVEvz-c;&&~3>`>VLsK_v}FlY=}*{@esz0ex2 zw%=q2Ty{7_W|WC}4LFh#*3$Lr;rc){OUq=ZScMGqXvUsthE6WE4~Mlm%VABEIknUUC6MZ)ab11*j=q+|IW+alzRPHiUq9ZX-?J7I>dEoE zJ2E(@ui0}*)=SII*&4fD(4J{@pYLDN*DP{Nkms)?QlFzU1r++rwQLjRm^b)<-u$Sq z9(5iC|7wVMB=(esvw-uuMJh>B)}}+kxol!f`9vSQHcC^)P4dn0UwCo}Qu)ZY0*ut0 zT@*9rnnt}~Nbiz`4c2azCmZ}uwf~%@aR7Q#U_H4YjPY~G@K-qKxo7U>`piC98x9U3 zwwh7;&i2Ee#BY=jvitptx)gnofpP{9Uftj<%VMv&z$eTJ(%VIixjZyd= zD30tfDO!?=-0cG8BIo1U{%_cI+-(x&nMSnw9}0g#77Co0&Q6H+>ayP^cOokV z$X~r;d&OwND-oGO>%eeneOAd*NXw)CYf2a-GA5Sfw_7OwBg^(VZ3n!nl$C+Gl46IJ zQp`9fl)R0Q8zZaSHnO~YA107=sFRguzb(beyyw@fk7Ez;e!k0go$nT` zIq?Wv8BFmmYhETM0tx=c-sWpxxTX>oD=P;67Qz=b>TfH$yLW^w=tHGNZev+uc}eTC zwx$;7jv<29CO;k>lTsd#3aPxu7prQdSXmy=)fkadtJdM{g~xR)Y<7?TDeZqIcYaGN zqaT(V6~MbS%#Ax*=AYIY4r0pDB39(ycdwu7C>(ceET zs1wHs^Z`v=GgsH&dJ}$2_KC|3uSer`AC)$-hPdGWcCFIXsDajHPjbOG7nM#_#}Rs# zS@jt6?M3#!Va?y_#7DA}qS_KS-iF=s=4j|i0Zxi5d=x{v+#6-pfQ4g*x|R@&)sCm$ zq+e;H#ZVJ=cWHF2Rnxy4HQ(Qo{j)*uUyu!t#6cEDrnA2vi7r&TlryK`62E)%)N2$V za}@_C<`LPWp~Y@PITKh?2)k=o^Y@AVa+EqJ%l_>{8hY)TdG#09wUIt!16kMONL?Ld zNz8`dlKNDNLfRpOnQd#IBeuiCyc}m~tHG}5;easR(>|jp466B=Z2Z%8L89pw46%(< zU50F~>ER}#au}{o^b|_MDpgmQxD^I@cs7S8FQRFd9R0sUnCB3Nmw40|9BOczHfc5Z zKmSdD{HW7_dqpr;FQG0~p~mx!Lts-AZB5r_Y{Tp8@cg%fu0yj#j2I>J%^YHp^!PcU zS^5i63q|Q`nfk&(p3*d|R96xD-Z(H#R8k1vd>y{_Zz6i2>lDkZM|5k`ZeG(26denQYD!lECKqJ|oMDBDn?5U44PlR~Lq2p9h%!9OyIlLd|w& z?N3(S33sVb{Y$n{;2Jt?CL2eQZ0rh)SJnkxd*BIKJ{*MeN8tbLf>5*OULY#!Wd+p+ zLpV;)JH^kNe@de$f~n`xCPeOF%_g3?38hcMFN8-{8=CX#g|ar8Svef09qco1B53Qu z21lMU0j2k(tvb*)6-Q0#xUk;n)Ib=zhW7&S|R6cv9CS!6#;KQ%xdnu*KC z=>Di63FMu55anHFXcttDOtRCG@#=#peL%VY!dcJ0H;+Und*yE=a~C0Gm>-m$$8yE8 zBEoJjvJo_yE)4tDMyUpK4SJ!!icYL5D_|Pmg3Ts(8M_)QH4sc9p}!x(tOzqbOB&Iw zG_Vx%R4_yngy-YKhM8oDX)+0`Z#Q5UHWD=r6;|+@U1mNLE8GZOyPaafD+tV7Q7Rc7 z#5G+LVsxI+Rkr72hQ>VFg9hE!>EL%7ABa5N$J{!Ac&VUkzpJSNiwX2 z2_$A!XCclMkrYZWS0ow6$N-?LJ)Mb;#)2?^Z4b1vi>G%-tPO){D;+GwTL+r5&zxg& zVi}D6g)RnGq<_j?u0vSv&`|=hS_bb~32?CYFjrxZ8-^WXbLbzDq56SMq55ifX78UjviNZDW%XH`-TJO9mlI%Lsc-Dt i8>|s;zCg6zsvn`Bg3I)FJqczb{!J4h_0?y#p#K9ab6)xY literal 0 HcmV?d00001 diff --git a/data_application/88soils/filter_onepercent/soils_ph_rf.RData b/data_application/88soils/filter_onepercent/soils_ph_rf.RData new file mode 100644 index 0000000000000000000000000000000000000000..57302573a656a144deecf1bdf978ce575d815211 GIT binary patch literal 54934 zcmXWCc~sJQ`~Ux)Hl56ECZ#mjJ~Nr7SZSK3RAx4snYfh;RNUT9dMhL3h63Z{(r9Yl zsZ^$<<$@+;MTWApOlp#1ic&71DUy_30 z{`Y6|qV~s^@fXv1dcGxb|2?tg-%q}lrM!85Gk?c5+v7j|_s_!rd-PwEp`gkF#|V<6 zW9!qoX<_)?i8C@VmM%T9MC{gk zzDU`9z-w64p#uw!O1c@!v)PLb-i8MD_@%P;nKC*lB#FXUC@VO zOTa1_cx>&z;OrTeC4AKnvR1>=RUbLRTqzc;N&PM1oy%s(LGZ@PTVsYK*EsnW1Y{@F(m4}tQ9meM-^cSmtBXnm+!{))LbPR zZ|OcxQluo(=nKiFaK2_QMZNOZgyOLI22K3hWKnEOSB9W3yU+qh1QYr`+cs%#tPVa1 z_o;A0cnsw>eY+Ro7@NCHhyR~AC)c(btVV9xX z?0Y`&SnT{_9VLgP_^;Q-M0uAkF-FfNxHh^x>FBw|sNM)L+f~6NLlx%wbTjIxT*|X5 z9rUwuXt*C#j!4X7y)gPfW&K~DPsl9H7q+H+({tfYcFr9~hNs7CkCOtXiSVFH;z!Y; zjrUyL!l!))UFhn!1+r=XQvc?7>&n(+mqWH4vnQyc+oUZ$u`_x-*84;+LJH?RuHowl zsUKQvK7(4T*ca0Ovp-cQzCuQ)bQgfMyXni%^s$=1Nn^hWaG499)Vf_sSmfhW5>ky2 zKa)tpdTi##aA871F>}z1X`I~?8*6yb%IjX%D5I)c-uKRJvnIVJBg+EVaRbdSadVY*{jlV9TiJyVzio6|y zS+w`JEm_pMotlOfOcgupWJCAukHNN|r8GQJrZ?(0zi4Nc_;=I+|61s*!&Y>E&%=o*zj;hFFXcn9 z4Q<&{fA%IfwI6Mlrb9e*%Npx-PWjd3&d;!g>_lIv$mR}+`nYSZXfO&g+tTr=2W8Sa z(1fbwIMKfj8`x|^t{*u0SUgt}-DkJ{QUnRn z)zPsNm(I>wyOCY=qxP`|CQVWYPFec1`_?Y>#Cs+5gq%dR=hw zpk!KFPvGV}8o-;*J@uyd5iMv7zeF*6PAF)c6u zj8_F$GBYy8;LY*}t83KugO$EXHLQjKh)2a(8O6(2N$nY5?QWT;+#9IB#?xX=)s4>< zve~k@Rc)t`nwWLqq(BzCsyojxY6FQEej(`4OIZOfm>(1;YkH(7bHx!s#~gb5c2b?Wj8u z%llhBci61E^!hGurc+vWbxUm1$u@DSAFn5=XE3w0eTZnu|MF^VS8-W8&u?=^K%2U@ zh1E96Cl(n?v~XL)K&Oq^Z<&&HVF7J!hDL~4TIUr+v)RQHu(e)8nBv8PZVOo2UFMNF z9CCF%GZ}=PjwmIq??b<@PSo~UqNazvulO{bz3EOVRhu}NHr(XpW|<0)?x%KD4Y zPR18Q^t-*;zj>q`Z5m)1B1Lg|J`lq|UQi3}l~^r|%~2@4vp)v8EZQrM*@Jv4|KiU4 zaVh!~jSHM<2({*5Boj7W!-}4w?xD*fyimj0iL9U$_4Ylb4n1zt#th_o=81XC`$;|= zxC>k6a-$%4NA9mk@(tAX**~MjSC>$tfsJr|#+GBYqvgi+6`tbundHFzg0%9WiJ@?Z z;9CD?#{Hl|r7X~j)!_&g5xwapng;uo^LmM8PQAa>W-qDyU4+pw+TecV!a8GbhBouF zM}-A{?IMUKXE{RIcfB@9w~FJ!Eh0Clb(~4t>;NIk8iv|?bxkW*Z(#_qW4lSKsu+ zHV4BfH&6}+)X(B=;PviIEBz0J(6JK>iY*lJ&al^(kb*kJtJYYUD;NCVVjOz<890zY z+4;zt2Ne#3r~`sTzY31$E+-v%R8gL`SQoxr+A!Wl<2_6ZZJA`~w~~ifgFQUX`f!5d zSSV-0@w>eZ#P`Yf%d|GR$FnX_ReRP_M(~wehOTzi8`!G|VTPCYC=d;i8%b1eWx#h{w8LsK-chcmZi;whd1# zwvh;Z%;~-J`DMp#pZL-{;F9(JlJ+?^jOQH)mfT=d4A7qyp*FIU6^KjQxxUOtMGx=w z)!rN97q1n*x_o94bW_24WpXO3%z&c%i@7Tsn{*NK;`jS;r^h+qK>TNAD-IS_8i9we ztUs0Xj3&Wxqy5N>YCm>DTvr>VR^7MAfJom^2x&6f`7tl$C!CUYt8c?CLY4io)owle z>a_m`?E|7owr?xYH#WM1aJ11L+PC3Y#j_nGp#@vu`<&RH?BkF|Q{*dgt{L24CFd)A zVY3SveTFa*FZa6i2e0`@|fu;COS5jVKdi%?) zf$j%gAEDW1XoUkChbmkIhd#u2toHYGS&13Ce`xl@Odg2Oo1XiE{HDGbjjgq4m}igU zdfUeX7G!}nc-xRnk_T+fHM8VdbYARQtQoC$CV9`9{E0EP{povdB>G#B1jjpmeGm_seX48U0o?3@iM9T%)UQRQ65S%}cQ^9!z@e}6ROwTH9nDb*Muz#Blv%UXODy|^J~$53)s`t zy&!Bs93}&JK$oolIqIf2jnyVZJd*iwy>L87Wv7FG2yD%TuHEXQ((hZ? zk6T6qxHGR}OmVHpOoZinjb0MlCl>SpICSp_9o@1V|4ns?B!2=GI$DMGTr})wMP|w~ zN-NLWWzsvzJbNh2ST%MhQj2L}xO=4B-%gS^BW>Bo!;R&Rf=tO2&*M@33E+W1Nt&Sqn?~_ zh+`hNzJb~0U`iVm$EsF~Vpry|8&?u%pAOItoXc2H4R*?x(`JgoMu=P$C!e&AKv48b zg%VOjEZU!pBaAJCxya_;B-nWlT6PePy5*6VT4@*wTqBF-I~ZF9%>>*{0I+;&jQ=#-uhhDce~OwTR$ z`o~t?++T#XTWLfmLt0;rlK^J2s&s4iA9!^lv*h-2!Pv@796$C;8RLQZQPIgI^-8Dj zEib&JHyF}>F2bBnD9+F|7IY}ykcN#R|F+1}4ZW$hdHh^`{@yXt`FqxkZmO^-T4;2( zn5%G1)1mF6js^+fRY|lR{tIh3@O(D#T@(?+L<1VPgH-Ol!JfiS4tnErk3X~I?{S=a8f*=YGMd%vr73z_R zbQoC(e3xS2V_;1&XRZ%wo=fZD;GD-rv~PDNRt}lJF~(=iKE+P}zw20N45KB2KQvc} z-rN20t!ZjZM!=F9Q1P!Y4p?}u$Kx*R^R2a;#C5BfLp&W}OwDfR{ZiN{YN&03MSXB5 z9)ESX-fGs6qHQ3&*|E?V*E#q?%xu1^>+ROyk(8%FZV*Km+uJ%*OP`h_B(`0 zk3DBdQxTG|x+7VeXY2`?c!?H!wKoorE?N<&oU$BYFaXv-$C?E>Or?}&B(Bsez6yN`++DIL^IpJ9|8{=-u}_K`|JkY%E$ zF77)URQa0vYpTS6wZl!XCosWrDIek6B2Rn}71~93%a3fx-UK-7W0ihi7ngcRbdUR) zF$Gc&n>H3jX^yBhOFA0)@@f(;t8_*V;8-$%L6y+zqFp6t6Y2RAj0WGmN5E0 z?$XYbiw1#Z#S|Z1qg&Rd8QTSatFK9f%74Ro7NYwG#9Z73^L-{lh)d#f2Zr#l3Uwxb z5N^A*o*!IH(k4?Y;exD@Pnv4R{G=tM_?7{&VB(vanfie=d%ur-Q|D&bD9g@rA`EF` z_-j7`YMN?wr!%f`0H0XlLacK;S~zCaF#q;eE4FfbUE!fy*$l9=^(B`I7dSi*GHct- zm%v+U1K)Md_*EdSZ>)Ons4L8x4i*5-)DXScQ=Hj$^kyPmON|QxEgxmjazR zN9gy(Cer+9b`~J43AmLKoxUAokcyi_AGFV7P9@R#N~>h<=MLmRy@T6v*D_i270zfM&diKN@DSn6*H^e5|V!8w_Q zQ96dq{YZVS^(hy55_0|KR*Dw;;6ItWIihZ^CRE+cB3E;st~A0})#DpS((W&{s4^AC z{bo%U6ImwG+=+!K!P-N;Km71jxGZ+aCwd>IplaABbx8MB=(w*!#~QFSznwk8S_ z@AtSV1Y5Et9#KBkUe*(>telZ+bn3%)_DFS3@l^8q8KFQ47=e6gB#ys!Fmn2(^R6(t#*BFHdkQP+h_~>qL>VODr+z%3p0~oN?*RHIrbo&HU{*Ex;vddkGzau zXRA03A(HeYfm+1K*QdC zy`#OSIs&ir);`o^K&K0Eqg|@{5vbcePEc{`lH7Ri9;ni*HhVnbeoQBVVjzTZP%|Fx zs9^$VquGPe@WS#fSymD*bj{dvBWm`IDEy8SznSZKm!upSpbmIY8J!Cf*!aUJrn#Lv zizMf4rM>It!N{~q9(O*QWDHx=uP~G-K6vA4wp8md5pg@e$6KPRENbULP%$CP1H_Cx z-6kw>O@H%Y$y->^S($ay!JRNwv>8oKG&sot8dL@D!Oo*Q5bp~6%|gslk21ek?Y%2i z`|2n9@|2z(uRL!k3f#_E;fdSrLij4oi4>U#c;UO~OHQo~)}!_b@JwD=hOX-JRdG`JSb0nyJuff*_uLb(2h=pi7kni`Ryy@-vY%TC# zxMzfViaESx9f)b#m9Y076=gKFk}D4O)BGk`UJ9dF zRz^Y^3p}#sV1)T`7=1qZKm{My2-p^}=!fQ6O%`Q6Y9CjZD~z1j4-K3ltpTF0>Lua0 zl{6Z{keTUo|BM|6+|lgzz4SHr&BOM6@q2CxJIZAGj{sj3xs-mp7}kB#Mf^9ll0DHJ z%;L`~xaKq+KGvY}qBy*mmqv%Ok6}Km{zTO9W~^v(!D+{=IWNI} zS1@Y7F<9YCz-rKT5!rAL0ZscKSRY_g7T@ZEf3hS3ZR2slL|@zUwBlHeGJ0x~IM?8t zIlb2;(+Sl|XedEqfv3)&dPg*s=1++IlNCwdQtg#8;}t(=@vjZNrurXp+k1rZsXw6W z%(LHmFqnv@7@|(WsG7WQ5!V`OsEB2S=>4*X|~b2cJKq+ zkzpd6W&_w<6F-!lWs-aOhRkU8&*mmy6OCo0Ut(6`=bo24Xi}PEXu77MuYUfSq<60&2OclA65 z`E-`WZ=KH`i6 z)-Dd&^0fa7ds`g~JgBu(B*mj}R`gXFw(12R z=X-(prFP?Xj4oGkek{kXW387a-w(KhbCnce;7gH={xv9n-t5mp5b+m^;fXGQGj=JO z3ni*+ISX+Rl8PMOI9%aYmB$k`m~;6-*wSAKjOB;DdWeZ(IneJ#l@8D^A5Kvr4HH)MIQT zdxb`ZJ;YH82E(RY9~H@$BW)PVKVLAUR>maDT&_o9XFCUKodiH?bx&}7s;$@k9Oj$q zA!xQ+0)!H9lA`I_St>aGaZclcM-#b;_8I@t#W=uaIW`n0wp%S4 z{*kxnN%R?Q1<)Brf&CiXxn@G~uQS4^`(Bf2)BO-%F1T|E-70He%0_&KwD!@Kvc(;2GqBv+hV6M`iuB?p5yR46KRK7;_cwd=G>#9 z(LRcwY~0;ZaS}xfhcuNuc??uxAMia01f(+dA139`eY3E##(Mz+W(mGWfVS+C=iBK2 zwc{Lj2~Zq1R_TZbr}E(Yo@}RULLb6Zrz(n#xsgVI4nE!DS=2sr6LnE9&fWJvkI~lZ zg{zZTLqtD5&_)zAsrSq=vHWnx>=3cECWNFIPKuSB&mmI$^jzIoTuh(43&dlkMk#DzaTQ)u zKZmA>?Y=Y&+pgT!1HAJImGR?32g#p$6)@u<0b$RX>+Lh`VLS>~WemuE%fyRKHA%#? zf*c-J&{}JVRcb#_CI4zik^2G!%E(~kXC-^+qC(y|-&TE2AhT)V_^T8n z6oPI%8$V}g$`KjVN$As92JV}ZAp-3x2%o{UU}|Er153tc-T&!aodzbv;}@m>yLkFr z)}IFfc}RgY!1`1o6R>wZZw&PTY1JmN9YID+WPBdiJ>_byUV&eLaP1Q=`J6Q)F8oq@ zX*XR~X^HxXaLF0iid0LxLo7)u`3nj@B6Aw?p9)9bA+BSFi$g^au4Z8!pc-~lqLTLcI*m(sH94KU z#{hU@g>KD^$rURP5x*za@+3I^;VLe{<-?>T)0sFi_Y2~!0faW{4OSa`xIV=0x~6J8 z`PDfjj|fau>eeJMfvc|#xgNXXrSMuE^n6IuXxmlrD$Y}m9}mmm@SqY(Uqj6{;7yMC zLmrPI%dA*#=@SxN_@&LN36Cyh40y;aQ*`z%6y?g$%ykLYjewr0)M3M!2x z%Rc}m5zeh|qOE3pFqAAlajTe1=!<7owc<2yTIn#Ag#q=S{aMp{%>oH5U@Fa5q7(yy z^O*!>3hPD&b_<}nFrt2rFb+<&joQe~&}}N*%R{j%C9ft;g`L(YE3o>?U3x>`B&e?J zsw@tWZKtvgcH|OXcG1MC&#S#|VJ7!2T(ro; zTJHJ_%08NgzhDtq`E12=8#0IYljzt^{wxqOy=K#028|Ee)PhJtPBQC?i>kyBDXi%7 zCDeV_YEx}K=W1XrxCh8%{o$JRp6CQ=WNC42&|=4K%{t-LiCLzkl`GEx!qnY?mFUN* zz>Gs;|B|L_wFmk3oJ^KAo+iy;_n(QUh<@6rv`qZS30EYLvz~Wg189gP&%B`->rJh% zV^o-#eeQ`L1J>e<1KLoOBLDO=S20e(wXZzSFkt4Md(dqijjKu?6x@9eoW&ymPe@*$ z4hfl0k9W+ow&X^$-WVO-Lt3P9RayH3z&RgENIZ8mk%FOsV5=dSyy4Dfs&8<~n9z6& z)OIY+B9Fh>?|iG3D8DSeH$TL$O+j*dbdPu{3!n%V;%%SoX}Iq+ZAK%b8+=*zx6G;J zpltuI5bz@xFeMe3kgx9TSazTKxgB!MM1NP{->tHuF`-S-1wEM|SoA9>)~p z7et@?_l2ImpBolfRXCqpdeHH%+*H>QIxwqXL>yptry`c*0fDWc1_ikI7GM*Zq|alT zD<$6p7Kp1$;C>DO3~b>SHS=a3RLPxD-f(w&LdWs!v=r}v}I zmJANNo~5S5CDFcL)*Behuh*MF@o%zea|;3R3@rNN`sId&)|nvll=>9PsD^A2&ApHZ|GBxCARY4Eq-QD|GUm^;0lLI%qunI+ z$K3nV4C^c*N26w+*We@Y7hAF(d*Dk!nyZe!^cQbQ<<%3UMFv*|z7Fz@%qQUDQ!>SZ z!Z(&gST_iKXAHhD30o-w2%arq3?LFZrEfYwzJL>X*MKzo4%FY2=v;W*b}(O=bjJt!bVTKXoJY=8Vi84xfNX| z?&dt2^T?R}iQ?vguPalWSF6unl>t_a_7Cd3&(!AD(qcrvWqqyY^an|#-(vb0S64yO zJZzu(-$mp=Z*?)zLP!)d$lpb~X1@iWWw$!17kOey3nlAAj@#aX%q>Bh_yh~>NBRvc zW#&z>U^J+UxE(PL=Fb{TSi#0F&fiE|J!GmT>hZr+Kt&R>|M5tq^MI$FWulvY6%!gm z*G;S{!*z@a_T{((txeSVy;GYTM!YGDtyRlcBOXiiB zz0X&z4hRnAZEV=0gxQXn9|KwxDM(rN^gh=eu)dGtbw?BZE#`FZwXf#B|yOF$wm~pI;|+>={%Pr->7ih0Gnvng`~z&4%@KjonCR zNK58_kc$6Pw{C-JV_Hk!l2reB%f>9lrdsh=h}#>)-%I)MgXiey(2ncj%m0G)6ozXK z(H|Vap8|?N{$Pmhz5~_x(L-cW0ckPUq3rv+1dInjFtxhjQ^|L-nV!6y1Kp$Y z?HnL!rZTzFM3j>xnoR*!2Z|efceaI=W<6YyRVPle zgVujrSZ_L+oEi^Po$DtM(vR$<$!+fFQMtEC%ESE(IB=G3mennKjkOu);rF}#(rB^q z&|2ZQh-r<}(ayKjqHnV`zJgC1=gm=IPTHcGL{_nlqKSHFee-&qhQkZ?FrzQeY~>GJ zw`k=HVf^WRfyF~Bq4$na?bZ3O?n|LMzSfZ>TZa0E)p2zLF}`6vg{AqV(PwIMlL!i7 zR1iUV#Dljs(Ri&BYn&1RP!fMW^Y@d@qkfC(JBf_P=|E6oOHhdiSLXUW7M497g3G4y zB!keD+=JzSp^4G)F5HQ(r7boL_3axp4mHlPU)2KUdqwv3*zN>m&S*3q#S3#z^(UF& zSjU6)S;7;uj!`Qy+FQjqy7XuSzI@Dh&YwlIU&+YG!*%ELuzEDx0n;|X+6_pSVe&oj z5oFa!(a^VRlJ)GErd}Vx@$0dxHpclLxE<)lgmcdLtEvF}QJ28VR&XGRg05Rx{giQk zHM*?Z3;D-^3SV7S(V%!*pK-Q0T&!-WNCK+&CcqLidSu-JXy4wSspPjVa!NJ;u_y>! zNr<6jz0CkA%baNf10v@@rVsXz%nc!GIRsmpm&IeI>~ZNE)-@dGVjdHz&z&CE@1vvFg{YHU~^Rcd);` zCaqhvlD%CpNS7|RG;d3^>&_gX@B~H9qB2qu0QZqoyGM zQRrX6Nt9mMXn6BU*B39K^o79BE=p{I_)OhGop=XA*x^F&N6r-qE<`P*@%*8P-@R>; zYLZ+YE$|voFV0-DL@!GsLICk?8CHU%eg&W3M!%UvTHI*=(vjE`tJqJF_5D)X?bO{8 zLj5{feIL!CG!=MgSKoze6Bgx76QM0I#(QB2G4}je=2QKH%>H5^3fxj~=|Gn&Vb!B@ z53LvO)jgIlqQfqzh6g=MnL1L0vaC(buUAIJ?W=Vxz4AK-t2mghoo7p0gyq$Oes8?^ zN=w?^=()IJ*Aex9JJy=(?%b2aDxNyh$KO*$Hu_uUt`k<5^2?5Nmx85^qC>NN8J1}F zbTAV3ZTbTKHv=%{j^jDc3?MeY01&nOFIk(jUd0^Eo=J$yoWYaRT93cli~5{kvTGYf z7}*L*h~Rz!?Xsk?54sK5W~d04$yzIt;ts%>K;<)7`WayY;DFUgp)eW`0>}?r6#C6#@sqEtg%w09jHxp(0w;5j&^)DPP-k{gWI{jpS4B zi_m3!RQ%6=&&noBMl6Dqe;7MX6$dY!|2F=!kVPpkC$={x{YC2fS z3~Y_!5A|=Q^|DgDr9bsl6@kGs*IL$5B%a^FC~Zsp{fi*jmoIaH85h+g&Gf{rG2D)d zzke^3*B{Z2{)z-hfC}HT?OUMrT(vI&-WaZ>h8Ev%uqVja`J9RJF$i-(;zv{#L1*t+ z9>nQw(w2{_egkH$jpO_q>M#(r2VId)h9zQM`aH%Ii5DW^)cM1_%%3FECF5pi-=rnE zySc)Hwm{jLr`wFU^cA=EM6d~KGV?e1QSC;XS~~#VDvUppCI%!^9m2>7(d8w;!h>t+<)d<)W>y6*pz3E6=MY zLpyhfZ#=07-L77^JfiG5c@;ynXlJ?(Xudzuc7R#}a&}!}HL~eN5`Cc|oZBe5#oGt) zjRq&-hS2d1zV;oui4ddXPp4sRmD<`c&B*s@5x>h}Gi_-@Ryr8+z__3`#Qlg3dhb}U z)eY3SVwytIMrZU`X3gxoh*Yd#+vyeEu|6RWU9o7laL=x=djiuZwjcyMeT3gZ47}Cq|9dlBBxwijlYBz#Sz9rJVEq%w9BJt!TS-)x3=|yH%YNr05P@xXF?o} zMl7M->GO3+$l-{M*%9lSME)T+YqCUxLALT8au7F=Ms)*(Q zF_^0n6hQpjU~^2E>nihKU`;HlHNfv+Y8IJ$9GTNWvf_2g0KBE1^?=J`sKDRE* zCyBDc%3`phI5E>Bva8PwHWw;h4Wq3c3{*-)09EyWbU=Ss*(r5iAm8!cN{Rn2Z+@Rs zL1`0A!-?(No1uASU;{Xat27HB$1~~u5jGyRB>y{N`W+F}Ye}m_r>p~Z)4XlqaLito{|6HhJpTmn|HP>_oj(mwYs;5g8zCOuGPz-J z0{P`L+W5$))Fkw0AHIh8mG|9BwP`F8xR^D}@24JXc$eItKP0TSK#Rcynd~X?ierVn zpmUW1VuD_K;}LJ!$6BssPTH6Om!pye0wD2Fualg3TP5lPVD?=)cPjg?`LxnkABoZ5 zxNm%Ov8i`bV!GVSlvfwCCi?na6~43xxs`e%Tot0gU5d_J+_y=4K2bHx7tBSwkkojf z5s-y6M`(XQATQ}bt`b$7t@Tzew;_S^28@tjZlZYOT!#n=3GiaU>xGk^&UEqKK7j{n zI3Z>`$KD(^1EisU!nlu1|%7<{kh5<_(!Ib3&*udhCAFh)I zf-JTpHHXj&B5#OXRTBi@!Ig*CmI!b%M*bIVbcR9n_ArCWt2J5s5PQ{S&u?T^BDv%y z=*%#*Y;(iBJIHr)nq3;>KwFKT?Bqf!*)5NO^GsAEJUac=NgBBlC;6Jxl(*5mBeVTy zdK<5@3b}y3tFC{Jx?{;78;R|WV?JpewpVx|uL>jY9m~CHI-~QH{>0jS!4S5x^o#Y8 zsLZ>NenYTWM3U`Kn?x>UJpySTi$(X7_(vkMGCyayDRJfPqJ%JNSshOKWJ6t-uHyOc z$8}Gv8P5J7NpB?p2K(^`M=BOPE|?Y1xx;uT!U$1I3fl}_&&jW^^#Yv>{k6>m`NhDI zY)je)cHrOQU>{#_Ur(1WL*B82qzb9oIA8Ilr{Az)O)n}RNPdFsV)>W^bZ=FY2 z6UWONX<8$M{O~oHXGK~2OyS%;kqh8_%mQK0cgR2De_$u2D0XeftRWcpwOR7kRY5=0 z*W{A99QKHuL6RG9nLECaHW53Tyt!~M0s8^Xdp0CS_j-gdY2we>+3YwL%mi~^uTInj zaMK_9@rl@cEz6qz^}Xh$wdWq#3IOy*o2ZSpY(hL-!M!WCX%4S&5pkE14fU&7ElqmV z19cI(9q_40U#5A%0yb^S4}u%0;9}?s(W~~41!X%Y*JlcaqeQB3-SD%~((XI)uHbCL+dgR(CI>?gzV3O@AG zxe6G*dlg9_QzFW}bgwO;?;s;T36gK5dpQF)BzB!}r3u)vaR@ALMaDh_AQfP@s73Qv zASpq7B@xm$p-E;SLa|N}d~S0CF~)-tuZ0O-D*QF1f<_()tI4LUiY}=78OHn79V1iD zweDt#w>to5(<9G1r_PNP2W;fX@<1EGmn<@g@W#{M2PT4Qsk3*|=I{}^yu&5%_P!_9 zfzQeUNt}jnM1B0&wA2NkqTpmh<`{Iee~QA*)%cALFxX0GNGc9>Be2aw;_y!QTgim5 zNNd&lx_D0*XK!FhlFSI4N(H2zO{UUmtC2m3v5hDOTum%@Jr{E!uU+|DS%1$bX|xglR*cVT(IAiR z5O33zp$p9Kc*!LV{jH{2oD9jeFje3z@?bqD5`8dMAxYH%+0V+Ppxie~8fnA!EXJ()E(A*#6<4-PR?dar5@65+r6_A>wzYp8yVwi!8@@VvW zN9sT;5e+DT!aBFC#=i)voMe3lxgc5*-Z^QuYa3GD!Bqj2WJkycp~w5S^`MyyN7lc{ z+7}*7v=V;KonO|kY*FxnvfsDa0DCv2?h}&vtpE(ZU(p6wk`L2;1{R}Q;{?U7X-6ws zl+Xn@8CT4_6LbzK9}NG>P5>68BK^p?C($MtD^MNh)#Y8|1LqjbgF9)<06nVJk*1Te z2L^3dxR;hzg}?Bf`yfxYLwP?-G-CQ(hYRqE2s*b2HL#Lnu7BY4)y2IYSt#HG=2_;#wl)WMMY-ctW&ZtUt0JE)*A_HD0?S8md1GMf0z+`%%GAOE(? z%4GTRussj`5v|yZ;bpjBJ{ZE-*vD!6DB`G4;%4NVY#(V#;nuzap3d97u@uzXPrU1d z`WWN9yuabnf|k?H@{;~)uJZ2I;Y{NcstDC$l4P|XKe7^u#YHe9wb)QKg23s_S;3N# z$NnwIAqZy-Y0`@pS85OM;E#RZbA)|aZ;Td|r5`rBVwGUMqmq@bbq35@lJw!$O~upk z>!s-(7W4`NsN#k1Jtsl#u|eL3`2}Nym{KLXvFz-sHjU{5lB@FA z^K`6nK1iE2{m^Z;K1!l%h2H8jjxqq=^rv}4s4}E=DInUtW`g~(cn`2eYls~Wt{6U1 z(NYFoHzdi4+tCvFZg1`JOJLG8m_YAZ@p3-NO0xrbPXsXz{6fC8guaU! z8Sa!aL;go|+q#)vNlmDmhL1?Y+pO=A{3Q`fY)y_ zUX`=2= z>GDszoHn@MO<9zQ_O~h53K+O?mA4YyA(8OQy;5H8{LmI4QSV{nz1#uvQlB(x85nRC z(;HFyJ+M0NGBXu^CrOKT2y`L>AQ5S?}CX+_gRR20OHMv zqOTo*%w=JdtA#p-ep{gZPjvY^gfnJr4T zzD^qL8t2^VV$@`7jJFuQBn~$W`nG79r}=S$-dG8v&-kwt~9n zC}7V&-eJV%g(JPkO0>kYw1lmJeNq|?0Ycd?8AA%@zdFH90Y7>(p($tdiy!hUbD5$C zna=wtIsGNkoFM%zn{X!DQ`XYxbEGdj7+(=f*q;%?XA5%J%AT)<(n6b4E{kc7vxg*7 z7!vKIjBifH{_5%s2phktcShC#$}znA9+8*s6{QkI*XACYq7qvTv05uc$-efoU;gm8 znO4f?u5t#K)8f1vC~-6X#MUcIy33Qe_rK2EW*+jUe1;P>gtPe zpF0s6TBJkCA*Cg;!Vi@a+EfIjVMStE=w=w$ou}{!H*W2&=ftITmqzLhe1c}2ULFmaBLOS2xhAG(U$-TiVwSMBG=8~9nr$U(lq40 zdBZ$uCGD??H3iVrPND%KGkB!z5g%V3!%UtXg)wAQU|(QBd(42+99+i#|5!TncqrHZ z|DV&Qa->d+vKFUkVcL*&k{p$?R?0GSN>aoeWF2OX6qRg6DlrKm%cMfXER`7hScb_q z6NABEhS|*iyL`UC$D@CGJW6v<_kCUO>$N;@*@5tRwl6hZG-_xnMCJO&Rpv5&N5sCi> zo);Lc`qyzLcd^ann}z?p*_Y*>9-iaZ|HTur_@QPGA3Q#3EVuMk`(0-(7k$D~2`-S$ zr5j+v#aK4bA~Ir0Z_I&9@N0Kc{%YWmJ^EiO2ZSTNVq%_=wV*(o3Z<08k3-c zGGR8n3e{XLYd;(XeO;bE;IP~T*0+P)eRy$6SSQ5uJVEgcX%RiiI0*LxW^8k_&*JH8 z>64G#$zq2WfiNA`Z)?I%ma*cWtmVY+nsxD-Vx^+)=-#KlvwI(bJqgXSMC?33tB;)h zDK2iN3a-CI5oQ`)1CbzgYeZ{kTrtk7*VDzS;D>xJ6l8e8%XsF|V})wiIJG7!s*=h( zz?s}3z4y)m92chSKGVKh?u@1PjD+3)M`fUdftDLJ0C~jLxjx?h};b$sIBVC?G5xO5ut}}RnS1!WC%0&t5 zif654X~ZJ}iF=mI?#+im3N!^}_-l(Br2S+EZFN+lNV4*{9N#$%YwKhj&z8@mD$U>? zdFYRU_2s?(Gl!he{i3ksI>~b<+xEkkZ5|6+>VMUMu%`y0t>F(k%^<8lXt&z+Jb%ri zT4Y$R=i26k{{>ceA6|o_v5BZ>?ymK5;nxl+5h0VAuNYJ@Ev;L5m|8_5N(~9pf}|;{ z9QgJ3;THpS)IA@F1gY)<;(EWDIv;@-50B1vzHE_85hIUQtOy0L=$jAr$;92Pg0-|E>k~FqqS2 zoYBz$=ZpTjD-ftQOx7OGYN#4%pQTWx&Qs1&z7sbMJ1)V(D^)KLltASL!`bbnKR_Jy zCLEmB?o8C%TAJ&pebc~q4xe+NO08Y%>EL90hx#5{Ex!r;{UBqCKesC9qF{Fo?3~Cz zbH$V{{+a4V^e_AzYAL{`WbE2UWcYq)(b|+G`3b(8lyauzei52Ra6O zG!%s8XQP*YK!+oAD_alsODtgDz_nVL;%6HV!heT9 zL{-~`DE>ysBX9F&PUg2%+7=H%=C`*`7=vblwNbHdv9O^?Xiftm2GC0_27@Sa%+Dmt zOt0MECOqW6($F|*$R&IjU7S-MCH_v&-{Hru`y95U%V4Ul&}kfJUJPM!krq?U=n&cS z#~_<%6l|N(Ab0nUEdw@tlKbS*iCIX;hY{c)?{{kX@D34J2SulIw?{eov5UQ{zzn zglci?v27mYOjacE!U0l%2^&@Xt=$$xrtf3uhEstQ9KSqa9ZZ@#(uO`@Gqr=YS*{E; zx&*-L42X#!nXt#csx-)AmPl^3U~s zsuPgCGKNgjmI6QA!K>O_NGvU3zPT%p{^Y2!XMA6u{{PK}$=7FN{>uq#%}Xznod}<2 zy&pv%*&ddOEQLl7N`tMgU$x=ijQS(kyj<9btI`mpl3&;3rO#bvV{_W^$08KPe(!}D zPVzP#*!W$bX!2`yn>9=9IWhl)An#nVIyCF@vZc}|Je{%FOnDDHfQv@HaQb9B0RvjW zvbbV{Yz%`<{1kDdKi2Dj{D~YjEBG`Wpj9LcVAZEpuZJza*odR5BT(#Kw!=SOS=TkP zle#(hmP%5ZB=m$k#qk}$BCJYy1+8a0tv#tLZ0x*9Ax zb-u*JH@&9S^D#c0TwOfm;sye}+hM}~m7H--L}%GA(6&8cROwT)#LT|#GSwDkawP&P z84;Hxc@ic1o-vp6ps}f}*Y$e32TkfY*6}^{jX$N88Z)7#=xej6kbVXDNA}PneO29? zMA4NR9`goVaKBdc>z+>?l34)Rw<5`hnUQq8D&oH@o`JuDN6HA+mmQ{CHQrjk`!*7~ z2@D8fIvOyhP2p>@-Op;~TP!+$T5>v&BB92Fhg5!REKBYCbB_EJw})!wf`4X=>IiA(DA%vdFBL`eM!pism* zleaLv(}D5SNL>f5YmCaIZpXwCNfVCT=rjH(saASXK2~swUC{UUPX7;(};&EUMTx>1@1=R-{3a3woC4bK^QPv_B_u_u+MKTS+ z=OHFlkJ~pVdB(3@I!VQR-S#ln6mp88hMz6iMnVPxCKy^%6*f@k!9qOzQoIgEdr2sQ z?!Yg*oU>n;KcS%jeZhY>yXi9jIRw37Jh?^QX*cmb0H|j)CRLtJlOMs=nnQS;uVY3v zK5yybzxSiY9Ikxk9QBNO_xE&3g1NNAJLa^F#lv1f#(O+r)|3{Rs~VU~zHkYHZ^iuq zU`*TxWm12R^ts2iKtgm6<2`HnNgjagu&}8kU2fBCrEYF|^;j@WXFAzOkULDoRD80v-sJThlC%r)X5Z*)gBmL2bFWI(dcoQC@4jkT_)D=K}Y@ROJ@#0UMKx)5* z`8Po8JTX^0rJ!nqsdz$rBZTL{Y4KIZHSNj%s5=kVNE+)ukaf{a>Sll-Qjwhr`&WG5 zg<#H<7nV@z(YY2Piymt{=w8Q;7)#Ydv_#}@oz&cU&x<@*2FA;ymwisowCqLU5V-Uj zxPDG(w>Pf%yASK`4}}ff=mK_yA(a~?X!^;N_$aD@V3p4BhI+D3%w|Ipa~AuZQ1te8 zty6HO{?xY^zxPY!#=7xFQ?=$(bP_%U#a1lXEDUPFVY1hB{!t)-MlC4xR}v@sz$j9;idsE5S%^n+^z9(#exoAI5Gz^Js)w6y8p{{KOR9x&40t zv4ljUN*RddvwGp#wW#rI?8O&DXqyP>*?ERH&E>VF!UCvXgW-OaiN&z=vk%;9{;X5W z%uV`HB+eD~KtiZ1$W08f>3!;J-u>_qm=Cp{F!D{uwVL4_S#P@vH=vH)ihw=cW!dP_Ouz6cvM) zw0bmMnz&w<{(!q$C24n?sc~4}|J>RmfbTLhP)jKWazCh09GaLlztfmPFr{`0jzZNs z6065koa`2sXl4|(3KaxTu*e?lY` zosc7S@Qz&DQ^b!zHT^+dba11qj2YYRYa^?;lj|I8POL}F->s5)&D=>YlR}zl701{yt>u{p<-}PQJ=uTedyqkrG_cdNQV*~4dFDlEZw{~)z zk#G-SR<@uO2^SPCd5x*50ELl;V}2t%2VK_YQ!`67V-9p`+=LnBP`vIKNLC%8iS;~E z)7{i(lcKDG-Y@t1%o03p2}}KdgSY`u5h-ej&|)_f(KRsU2TFokZzWlHfz+M5l#b(> zenyx2%Q^_J3E#Z&0-yQ48d;iktWm7n!BYtKw_IYFHyOAz6a%9R6u)n|FtA&+0P0$% zhHdkAAKoayAhxKwDK|L=$1d)}nxm#pRfg5M#ajCsw_M=h78}<4iG9!YBzxXRk?n4? zmyTe3z>(P3OYXcDvgC3pzl?SyJe79aphmak@BND#*#mXN$j~ZDnT}gX4Dg8##J}FD zN*|Zt3pmlQ-z$u@9FxVytll@s(HArFl;TaI(vU^wBf&-!z;0CF56eemS0%l=A@?dPHH{&5-=|; z{4#Xi`W7{rU{umz!2hHPs9=Y-*GSmF8v=Z~YQ)<^6Yn^sX!+(?EsYg$K^e0)yp`rH zoBat65M!l zE1Vd+_dKOLJGe@5q6UBtw+P6F=Ztdz8fH7Jy&assuT_Z8&cwE<0h~%*#4ZT$1Sj@f zYA^p;gEa`@0s(($=v()qO*RyZsHeBntk50>!V^8X&61!GpfoQy>UtDE;Ej!&yw}aJ zi(XVs&4Y!od<7SdDptlhi>QvIn zfAny*$v$FOlF!8ZQ6jJ|5)r4xVCdp!wYji5)3uGZvLzZNLdPk05|}EY?&ovTx+y0> zN*2Gy+r0YV(5cdS?&&+P#a zq;y5e`TKcHReD!Kie$^qtvIqa9VM_xOTdEqC+3EWKBeCGLx++1OA&IN` zI(j6VFkADQ&;$SwjaGqu9zSMuH*ut^o%)gRXq%E_8SC6^6D+m}f^D+iVnI!%$ZlRx z5-BGCJ28dv3pdcN8HpN};?uL!~XLhlmHf$66re;MT{DE%Y*A%)m zfAv5W6xVv}c%FZlNKmK#piYop5L?>6DK}Q$n(`WO=As|e34akrnr8#f; zdX9BE8&$&iO(ToD!oQW; zhao_!ZrYnn^la=FpP!8n@VGV_zRTTjP^{@!OcTj3pK^5C=u(p`lyJ4Lq zNZ7FQqUyQZ8VQYCCc`!tQv$+4$%%WJ>ZONoo6m;W&n0dEoJO`?Rh&xO-#`0#Z!Z%D z4u~$c6pyAgm6+pJ*}8dYU!Y3C7#9i{cpEE{Zjt@{-pBt|lT|Jf$jf?jRdLI9$;~}Q zX{%pbqC!m+C268png9u;VK43kKJ%8?{2l*eYE~p&lK&S^?kVeoKc~N!RpfSc$2Ffi zpiD7Geh`Y!ajiDtCC5tgli%elvy;kXUS*jn(7z6=;eYN5mqy^t8a%9ITy@YMt%ba_d&?Sm-)r~voFB%g!HKwM>Gws+Y+>URm4A}COq%t%Rydlupxo6%GwhO=PhA-SQdz1-* zR)vPdt(mp858`Y~-D2j{3j_innsht&9}i@Uiei6%8oZW7KtJ zHYB>IT*Ef-L6jWHLhK4-p?xQ=Gn`WaGi`gZRBOm+a^yGgNmf~WD`(J<#1wEC{SQ*K z{%r>3}1S*`p*2e8C=jaA0s7d^n_ZN;T5c1L)iC zllfd2+`Y*L@(PNi(cZ5I>-`_6aVqrtIkATa>V3$b?Z9M~ zmwK2n3jAAP_}L-wZ4l2?f*@?&n15bx z5RpFS3!#g1HOpu&gb6KByKg=waCk4A^o5iiiIQE*a!efJXAIY$SqS~I(i0IJr6FOx z993*wc3L+Q#`S{1#Iq?Qa}OQ3-=hL;pLcF`2e;LA-y1d{;FxfiJEXubO{x{Ao3CuA z_(v!7CKrqx^2=D&9^{lKO(fA$N3fnyAEa79jikh3+WhbuH}veu_a}x*;W6K&v7{Wy zgs%&3()-|4h`Jjw8FVc}LQqcdoUZMDm54(J;1Jd&2STm}3`B2M+MAS1W5uJaS1#}l z0_w;%x?tCtlv2IqLNfv&G1jk_gGpIYZB!StMIwB3Y1knPzKh$dT=%ZYXR)tclHSYw zvbxbVR-9wPs5iQx$FAyI6Zg+T=>CCg@%lA-C|~d?Q(r)yry7yL57;zu--jgvE8QCF zw^aE@nCmQY4faZet!-4CcUB*MeLOa~+w-68D<{xy$K8ANok{1j-g6$(thI6TQF&U$ zE!onz4+AGYR12BT+dZESZ36Ub>Dx##tN99wJtASQl#txJj(KUUh;{fjpctNno{mXN z9N}MKe>uA26q*fqTRGoyZSjjMkWG+4TP_({uGI094&o(SSUr zd=L%;p4I;q`GiSS_Up1gI3IL^k`m^DH%NZ7I?lI4Hsss|(FI;cAjvx78S}?lHm+nSdNV_O` z6m~X|D*d?vKVFF4s30e3*uG2Bum~SBkjw)aAZ*hgb|$D~s+fAOn+3SnX6vN^u%cQ= z!ZftGz&gW8_DsZE+YAcv^XS*$zT6sKroM6+GGO8a9vX&cTM{EKffLr9iI3_gQA#j* z>!D6fub>5WYD-aQxBUgC8s>f;1TR%;M-;n_wSgNSM(hu{wgs|tagJ@M= zCa`8H_ux9oZgb=)QqJpw-(DZjdSHYN{nfN^MZ-_LHGD9@looqwUV0eMbvqb{MFS=V zKkR@n(I04ZTL7;M3B6CBJv|$yZgmLIqDNNgj_sxIpButwg3x$+5GN&qd2}H4({yfE zecT}l0pZhJ{}~Y*T%m2!?Bs+2AB1{qu5EhSC@OEK60pt#!_eb{|vy;x(DTMJ9t5}%Ms zw^#6tWg);Y?8hWs7Jb}PA&Di0FiUNnbtLC~l zt4_T9I_g#rvnLAjRo85?r+)hS`eE#Gld!y~b-nuiz=9M2pSBBqAo?l^NYo2w2vE@M z20?sts%`!uplX!|-$#G^<38iM&;9%b5Z?c1<7vWytz})5tEPDuImkqSVBkJ`rOx5W zsgnIVFabLoTbAJz$G&oAuVKl^^M40xBYevk7#?3VkXn4<;Rdp| zw$&l=!dMspfrhn0$DhaVsS~H=MD7&u7P#)tbhr0D#n) z^Lq&wx%(Ug!KjKb>eS^=K`572KEOe>ut7txn&DgRii*k1#Unw0You)VTwnEX=Bw_(()i!a(KPrVp5StaJt z{SBVPclYYVw`U_RV#O0_?)-l_o3 z<3)bQ4s(X5R*_Z8-I~Fu8Eo-m)EW>j!`3KPu-bZTe)iogL zp|;XFPd1O%5&=i6Ey(9I@{3g<5Bfjo2KmGlGc4Q;y(>ujig{jv;u&syQqrY-rweUf zYJ@mJ`cF*v!~KooN&kV7x^M>}8>Z9%6X@Mt_=<*DAe5eal&rR9RZ8ZtWU;;_6>h)4 zZo&O?i7@ew1opM0YEeOzME;TG&hdU_r2|1#5@*r`vTi=U1G8U=lz?GLfl+6$LxIOl% z&esM|KD&9j^ZZhsTdwW7%(`tBNnk}3j7W#bbWWxwuK9OlLfukl6XMVH6{|Udet@_F z3roUh5GU+0$K28YRZ+OQ-+ZFWgI|Su_$=wgnaRt#@nfB&%=Rxj+(%b(Fzae&_6wGu z$C54wPZIvX4XrI+%FXo&H;7Q0ZU=gtQ@`f|*Ajldh7x<=d~jX#ZFpHN`V(~Z6&kDCKRSol(D21{uuKOkf)YeLb$qej6}28kNkUG{^?!UOrf7hT z56Fl>ndt5t1=|~*HxmqF`NE6em?1l@7$9o^AnvmP6^(rRD#^K~s2>f_Q+olzK5pe$ z<+D8ZKc#5|MBbBPgdL$)bihecvI3|RcIEwNbD;+&|T zf`om-MiirVl ziRn$nMkk_LRiKhq^A<=PlhcWXeyLupWzpY2mCYsa-Z=X5dvk?Jh+=ALvXilC^uEG* zI?9eQD*GVTwI#7`+B3*3b&e^&&`M4IvnL6qT~Am$Nl+2XHqY389_>y}w~JXgX09n& zPqAs^q%WM}9Ooa&mukzbH_5HzZ0urP=poZxyly4Fz~vjugL7wkgDqzFXbEGWJAl6F zfimEXa#ud`Ip29ndKLv0f9gh4yIE=WkmG!D`pKAuwRCg>2mTAEF~)X~KJkGp(cAH& zqcVI42clGJO4_zed)n&-PnUCRoKOvvljyevCARD3gl_0Md3m>YHzsI$2L9V#d0&I; zl7$?r89U`v09Tb?HWKHF?Yot0A8TU^lW8#=0pgxwH-D?^GFlEzTv7~T6W*45lA%IY zpNqlRyRgi(V)Ho^rTaAYK1$`T>SKjT27T=W{wq(TMY)Ose?#~EndA&2YXZ3p}mx%54J0{a+YHEkk8qvWmpt%lJHx0lebSo!-fC9R^FT(wJR zN1OO0iTDq}*wu;H9Tu2Lc>uz$l{0aqRPc;ji0YO=*`hN_2mYe|yxd^|6}t5t3i6cU zG$A?~Mmk@Q-OV^yq}(_|daMiEOYqE;niA1!sHofI20o&Je{2>~2`^%ta6s0fmX6Dt zZ%bbqme<#TtR$nU2Z# zB-N_zC8)MUCB#9#iq^JGu97c5&@qyCtX*pOO{vjMl6<-_Ei$_(*CfHmMNZVlm0$dn zoF0zEmpNgv!d3EN&2zAN769i~Bcf+}%XCOjdU6w=zKXO7C>OU||_H&Wma(#yGJ zicD6O2ehhBL50*x?fD->YTcYf#bLfWFR<1H5i}5!$tEw;XG#4$ z7q0l33(to0L>A7d+rC*00i=S5$O1k5plc8V^LM_=FVVMQwQNix zM{kN3kanD(Ihy2Ur5HIfotiWh_bYTsZp}dF$6>zoyVgWCt9NSLGIS}ZD~VRFiF^G9 zHFQFJoWF~Xd@l26_%W;ru;0@f05zOg<;PZxrY=_!l{r!$`enG zH2d4h8Xal1kqy5W6JbSipQ2ItUwJ75&ILKQT>>%WH%K+Yb>@LM-@Wlca9XC)az2#9 zxZj)B@2uE*t1sXDm2gqfiAdsb7`LYfI+GM%Z`z|XIGwO8y-e1^B+s!x&)!9^VYJ(Y zORT}pd#jmBxdo$1wokM*&Cjx`t<+4RZ-&$u&~Hc=%}J@w#E`|hCf%Wekq&tDy||A2 zI6z<1JInfuGkoHGj7iwg^75Zz!u>eNBE3B;x%uo8I-3PAloOL)zrqYfx5VAdLHS1N z3w|AE4&H7XZf-bc{)Sq2j7mG!BDIteP~`;yx1j-J$~k*An*iR0PX;}d81U6=^-$LK zRxd8-Gr*NQQJGF$JyU{wgyi_9iS@+(H`)YWMR#XIQl4hSSV zU^V__x1kx@k#~(Z3|4_rS6(hjFBa>ztoV&@?3T+0D3D0x|VU7b(@$% zhLU<2FZ7t2k}tJuCq+TEX{Vr}I^xeEr>rhY?W)+*SB094ppomkwW5H6&ib?M3{j&L zMa)Yg=21i$N-KmJpAd%?`0y7uGoU|M6s~y7MBJ0R(1u~x&hTXzZ`Ts?F=Z+z`uSbw zC0RIC#42^9EWVyQ)Vw!09e+|j`_r51H0U`Yec$OaP5JCRqzf%oc~!Dow7)lp;DF0- zHnC8{l4pT+PvP>9G_+3{46E6Y1H@V{5U&emor+#bv3UMA>m%t5MW(8O zFy;Rl2EIzUQ*FpY?HsYf$Za4dA*!Hy}_^k3^XBZF{Su*Hvmf&7U&l*2J%QY%Su+SL2mmE0b)0 zaCXqR7QHdAIeLtwB{>U>op9zx0V)~g&5O&$a7Q-eTiHPkq0z{ZBT}_^Yt{Hos0lKY z=j81weS$Zux)NtMyy=_%wUDY zoq_Yas?^7ZtYo&oJpSC`oPf!BYh* zMzLY}!{X8gI`S#UAN{n;qfRq+m6W??rc`e?rewzP5V2LVS__RS9)0O6dELqR#k5$C zqfa5J9z1nh#w!-#i~^FWbmHzM?GazKem4H%44ijz;$y^dZ!+ymFlx)h&tj;n(q2w4 z&by_1MmiApp`Y{mEgkdLCRZo!=IY0=3Z)zA6uMY(AH|MXes1%G@b7a`mp*1Hl?y?> zxO+pTn^7Y_?3H|CV-2chDxH7Ki(yDoebVlga~NtU&mJ7q*dN6k_BoE;6y|#x{;_VD z=llustB%Pj!b1#L{>!-Y;;ZQB2cjyjZ2J=F@rWlN0UAh%NxD_nDDY#-vcY2$QF)3* z%UBX>bzr0giIaE#m9JkUPMoc<&XUw8>yoUcZ=P5DMQW#m`<7T~|4MIW`|P*!mcoc8QA}dNi(+=`H_#-ZRvi?}+t)TcQklp-z@dTAB2ixpE%0k2mcQYV}j)vHf4r z6bdf-k8?QRBHM!|0b2tV1v*AExAHr9IhpO_K~-;{g9j&Qk2FS-UX5O3N8W_T*-(cD zEp9b(lEkSf1Mz3p21Ig5CPRJnPU*P!FKMEqmSjslLi+3uio3rTy&ebsM03>==}pQV z5y$z}l}Uj%82%kw?vD`rsOXRa9T(fjj6$OIYCTH#CJYYDABGZ#rm;mr>M$f@LG>s0 zmAY&C9T-<%u;?&>%#4)&DZ`()>9y8E!I)xSTW_mpgmmA^$O!E~-nHKOpJJ}qQXXRn z+bM5FLD$s?9pY*DS3+dIY&$DO@i`>H_6CV_N~Ae-+uYl=mvCPf!fO~05B5pKwsR4v zeKm!Jt`qfvkqxN%*=#hFF-nukM}hD%%(vpD(&ZDNCQyh!wBTqF|q5 zn^oz^)R@5_YmsKyTrai_9VmFIIJ>ws%@`P+5RFA?84d~G&Kk<4SLgmpVN;z4`Y{;hN7!XUPh8%hm0B=mc%o#? zrV_$?-AT^>OJ1^EA>Jvk5Wf7%ImY*x#g>u0)OV9uW4xF)IJ=!Yn%4MHkdTw9^q;L8 z-+I=O9pI={ugaKW9Va~*-yGx2+dGsn@Uog$<9ssqG3iv-F+3KfP3-DU>*|JWQ}2|q zBW7y`ihEqFbR`kXm#kG{PdGtuFQx||%q}XlbKyPkHjLl=yxBI?9l0HIZS1XjMqLNi zh^1Oo9(fjBAW+qE@nT2kl$z&EV<3x)z5IyQAyb*}+Yu9G`$nxPlFM5r{C@j#&YRFY!&~lr-J6$iR zRAAtuo4h1_R`*60g38a!Rf~U2F|+lu=J#bG1M*PV0z>nHEKkFQXM9XDR2)@WM|oCN z$$=t-`b)&GNJwwKzxh+JPzLjAa(>l)!gkI%vauD)dz@MZ%XImO70)!E77LxXmzqU8 zhrXqf`=}mG?cIzkBQIq(Ty&D6-Vgnq!k$w9$f{txRc7n0S9C4mB?l#TgJqwcn$)^Y zD2kN2_DdI}eadF$@)@-ib|| zM;@mbJNM7+8>Zcq(zao`I5%^kUs=f^c4tLfY=`57;YGaV9ovW<5Pr<^)4b2a-FY@f zlL1o8{BdMcd9U97kZiuG`a7N5L{+e$2+WBitEY{j}r~^SZ5qV zFHA^R37jK$a&F7Tm+ehCA7YNiy5rYLK73IFnt|v5CusE5T}%0%r9qhk%6Jw#XE7w$ zKlj$7W2%NSJTL;J|a5hF^FBv|O+7fFQF@_bB!m~+_5C0wI&lr@=?#p7C^iuZgrYJlV zW)pq&dT~b1s_~Js4L3z@&W~A)|6YwcigOu0i$2p1LY5g3;LqW%ysmEY zg@K*AtAE&aHh1o1uO}WV%#$S)VHG2i&{^*QB^QxAgtB0hS{xqQ<2?DV?4*s56osQNroPq&5`3 z$CVvWqyF&jaA>DX5A?S3Fy*$Mj`*&yC$p>1TP=Q_g_ZCxdER(IPu)1}7tdm1?sf7% zk$aa&UpbJGd%fwc%9en^bnYG!^T@O=m1rpU>~243E!r67ZT))OsZ#kDT#Rh-ly2|f zBr+HSDwfiFt(4W>_oFF4y% z!23s`hvo8^xh}9!eCex2KZ?Z4)y>}w!1Y;8h2StgkNmP>QtUMC#?qNP*^@Z1q198a zH3LgfmU9atpmY!IHL-YSR31tNWy#*cSSNQb9ZauPhz{J<*ob*d`4sV$v`W6Kw9?Rw zNlR*in%i9b zwW4DHdT3$BEkB5oxLx^!H{}vUHlOP@>4Z_m#&NcGidn1?tpqp&}2bbm_zcG z6!IIYxxoDA?~oqijgm!q`_Hnxn1jrB^Nfu6NYz03AF-L}mv^_3KCFJ=G9UhzPSY+g z(ocqv9M=$hs#pharzv3nvdS~CF?f4Htj8M?T*UA4D5j3 zSr=jVzO1_t9%0^-Dp@c8dTFBH`sos(w$F7w{ixNCA)B~}fwN~^=4CE+mA>9cAV)&( z?4+On2f?F#W$fce+0AS3OF@4WkK4r6$}e$_wux%t)da?DB3Ubz0kemOeJ(IV$o}H@ z#W5Z|Gqmw$#64u)QGT3ne>%Fd5z%BbAK}qmLcc*&v*F4d8ovD8*Sk@bXO2arE(qbrvo|vJ6pvA%S?32zlXq3hK`~HskZ>M22#s#ZYK7 z_8O#>xZAh0-K@adbrvJL%qdFFc$b{yUa`w&kX z3J8vD3pI+Q?v?m9o%QI-d7(0^y>Iy`x?@gbIfF4er@=20Ys3=o`TmKX~UU zC*O&@=I=#KhH9|1^$xtYDb)M*-vPRj_<||*VR}&Mc@T`e1|-Byr_aSF5dc?y!CVWR&K;S(R^Gad(M-N*Yeq55b+Gev3v!$~C0NJbfE)D83`ERtH{&YMb($C|ow- zzvFpF!{uA$_xWK(3C;!@~yZd6_vRS_{vaf%;7u9E0e#~U-y9Fcu1nuE1B zb|zfa`*}-Jf}zX$J5}bbWU$hCG$~+fTfnfo(jGV!V1C6E-sV-SbMazPXFAokZh_g| z6%$cZ9?q`SeE&r-pJdy@+o4hr-)R0OO7lI>JoTxfuufBQb()oSGDaD?>=E|^X5YzB z{uOr{s>WR?kqU zyFfKo2=ZFaFhHwF{5r1@1 zRES7{pfclNN$EMAiqo3}h?~hvvV+_{A*P1HqAGOheKDuVEC0)xg;wcg%@96`GbL& z)_BD-dlkF9G&S5p5oXGEOxM{B3zb&O6_U1a4)fEzl{va1uaJ~#JzS?17<$6e@F~N% z>jS~0B7DagY#)aAdR#T#E~+37f?hN85_)RU0$=h)`%_&Eob{4B($`Wh8247|$A!h& zo|X4o9^nLyyrFyHQ)N4!m{SzdN~h*92p@91TDjo7(cvn4X^o6trCcySJlWgRzE-8FL$QaRj>VdJH_u5*S>kX+2Y z(2K&d_}azhfgrOtpE)T&z*iIRGAkHR&%opz+=Je~wBPw9V|&SYi_eq*;uD*SFFSZ1 zbEX&N>tiqD_srb#{W*7m|Au$4V?i2LDu8gy!;NBK^0cPH<1Ckurf`&tM8cawQFXkGJ9@(^;y69ha6Knk>>Ek}Lxd3toppDZHC)T|vh5T_IxAMo zs>1Wdci4{VysIp6uw9+jd&Ru7eK0zsi}D{lB{60d5%X8Pw>j!@WQp9qrGR%dTCqlO zQaV`%w=`Go%tB4hc)RAae~`J-PjT4jpk>>$gv+n@a0V@Mr^x*%bv9=XDe)iFX;J>k zIk;)+#5QpaNmnt%`XdlyBQ8}kL0)+59ij^q(x7YmnUT1Z0nK6bBc7(sq1)IS!L+U? zD`(uG7oLDNr*_2{6d`zFg2Ek+JYXy4c02=rA<{@`95*lbn^vw1o^AcRkD(yvk~YQb zBr5im4n~mzN(vY%HOtW4bXi7EXVQ?QVK9cnk|M=07L#Lok+pHLK^*F@vNR(1cC`&+ zv}PvRQrCY#r~gSgXq(Fkrt@}+O-9ncho?VNFwNi8X-Q)8>tddbe`$4OZMo)I%BVrT zxcga`BC4$t92a|AME9nzFSK`kqn6|#K z*r4fIAAZtTgdZ2v&WI$*i z&B#1YuLYSW56dDgY`>=M6;0nKo0I>x&1Ob-U#?*;A&Bk2gLNY`Wr~4cTeIxY{Qo#Q z7r&(M|BJ7zTo-d&cJ)Gc?IvsG4HYa`&RSx#W@Spv%Dc=^6uD)lZkCeSvQ$K~!e&Z& zBSoOgykrU9QBcS$DmMiMx&J=j-#_5v0rGjjU$1kX=X^%fB~hd(*u5%^0D9F^^q&DH zLs6u|GuW?s%d$9g7ZY%G6e+$NDLKP6NI=LPZ$_eD$qqCS)JNJ%y&@#xP1F_8dWTgM z8OmOI*{$;#-RznX4=%achuafg}Icc}RBjJ8c%9tli|I}GW z;Dc!I2OGa8I2j+Q>0Qoz@v%B?1~EtbcB$ zoplkM(h}CI`#!Z>tC)+>r(YNCppE6f&W{cC6U%!_>Il9%KKHYN&y7)s#0V>~o4=T| z$yJL@fDqVzDWNu%pOvXZkDqZpxrLuGfjG9lGu??BGu_5n-JAMXmG4e!Yn*PaEnQ>c z2HveK-*HqX?cL_cw%4t%;2_eFMZxW`j~aAI8F?2CyKeNf__30~`TP}2E_xrqNFMzj z8p6;^^D?8M?=_o5U_A)xIlfibg%3TMZ2RxxiHXCoH?4c1>}%uexlzq!Y#!vxA%IlO8wY>YE#}+&_;6Yva(0KcEJgm=gBxpH18d#rFj+XE+oB9xB3)~7orbt<} z)ZKUs8>m9OE8zUoMl5y5&(g+XMuX?0+e+(vM--NzY`-6|JVRqq;8L*NL1UqGv^-Gd zxt+~%drs+t&I^F+=(($Ko+-Vy^yV#(<9%#;=Bv>WQTK-A1|wb&pMDH`&lh{5xAAlJ zHK>+4!s>qfRYN>*H&M1Lz5jexh89&wdw?18IAjx%hSBF_UTS8_yFcc3F|Qbe>JUCo zAV1WAc{7w04WC1bf2vb3Yt?{6oqi*J~I}(z(CrPT_Y$)m#vj-mByjv#bqT zEsST+caS%wJD!CjU#?#UgmuSvkhC|@ohs`0_^4p=`tjEc1zvW zNRh)xT!orGKO7GHEk^!AoKUl3=Cf&nNo_}n3(v-H+x(K0U7Kc|ljT?XEFvLWNjgiU zl!u}XSLSvRd9uvek_6paSxh>J{CTZ;8$2(BaBwLQ+eQdWxyjj6^>(vb$_^~kAhQq`k z)C<>JFOCG=6()iYDJ#fD%u~dkMvAp}*q%_?IBd=JlI_F|y0c#PqGUOBJ6kgNz0z$5 z)o^NoJ6Nw5yYGORp69$Ex>us!$6YqAuQ2!q3N}ZGzw#UR!*14=H6SLKz{M?IG7u&( zFbeFQ0yKtK*$!b2KzR4Xai-{Tlpgn|#PJ#!u&%=m)vBo!jzKO%O_kiTCYyP-*D+&oj`87Jf4oz@fF4-UUKTk2}?H?tMD zVIv`t>?6poW=33_U6$NuMhq?^w%DthIg7&h3h9yk$)dm#I`$vR zVe`rvZwn$C7Dg4Fa3*U$>Cs_n1Dct-~Q0k4RMl{;T@{gmOWuIuLI<)TO%~A zzAJqIhCyh&dbu;W1Je5i{xnp{c?L!7-O?t!vy(nHx5Pw+E!Vb#KVoMUGa#F+tjkTj zzfC@bZA*~rM)#RW(A`eoIF>(q*hAD|@G!*dE0Q?>EJ~&nS1->D+x}GyA-*4QOo0^%}B`8!O#FnWBQkv;a;sITVK zkMU6=mqo?S$rq@#QCSeT&#kun-sj9rK0Z_FTV}~3N`iEtglEAN@ z>yt|#^4@EWFv)PpRY~I}ILi9wAk^P8OEhK+=w_O^W-_wOm~W^~_|rOCB#NKb`*S%3 z1el0;ORVs<2JJLjtD37eNC>|Z3Mgqfsa;M3J9K=%D0!?|YxoA|?W3DQ5+5hZgn!C- z!+-?3%MdT=Aq{E(ufu8P2~pTO*%p8FoL+zt$!B^oxf7Krdu{0Wo3qM#ql}zTu<%6@ zsWB!E&|eZEq|e}fm>-nvU!i3EhWmbm-+N~Mvl`OOl_#wc(orXlTGu3e z=N;qqOweeb0GO#Cke{V3tr1dD0^aj+qVxKAt4 z=8OFi38%fN^9@X>FJ`70(OUUJ$2yi5BwjNoT-gz#Z@tg(Ht`|3@-rD=a*#i!gMD2E zTk1BD#7O~ra51p`s`KQa_2z<6grsizG~vhDm$K8$nzh%9>-E=gjK!j_k#{_PlQ@cq;C5@5KVo~G5BvkXbZz2j+|s^^IFj46FC z@ssqATH2wKbZw?VG^KGRK4=L(YrS4*R);ICpO^)l^jf{p#++cYhNzimaFT~(DrEUa zcf}KCbixkn;mC>sMvDAcPh4Au*RML#{6+OdRpzDP6g@O#2>bBv5YiFYi~r1LakzuP z74W6+fOcy|8-&!(-^`A&&z`>kPl=Y>o^7|wM6*tiIlkyX#Nf1c>Sli!~l>(Qv%~4fnbA*x8V&Kt- z^Rz5$&FVwtTh zsxdO`J+6Zj6h{H=h1t#&Q|)Xh8Nx4YbQU&H z1kLn88rQ?T4W&ta6h1SeYsg+OA|1JC`;0f##&ti)*h;8p#j1Y-mhP6XSdzFNKKhO& z;B6MJU8o8Si7*9JI@vU1U$i1fs=zvNC1URlHF&vHrat!u#ag&f( z$ZcY$6F$q!2$?s3H@Hmxn-n!mA8?y??1RrU7f&}8q%R=0lQ)m*_we87Ugl)7mYd1g ztWpU5A93 zuR36t)&u?|6k|sYq}ZK;)&zB>k6nArlQdU)TJ<--GZ?3j5mxZAV$<3Q9xhGW_B_;y z`x$=4xY77TzWMli8EOw1klOyvYFv2&0m;f%$cm45D(I!t{-%@;gz?d05ZZai%^1Y_ zkD8OcaQts-(jshtJ1s0Nvg-G`1wch?lA>Nj(ZI5cZ}6O)4Zrx-TW90qh%7@V!wSEE z_64OAat#ndxUkpTXRZtduVP;@^fcnVXj(5tl;{WJU-j6kVEM6^W|=lkx?Y!uHWZGX zjy1hQ6~d%GRiUb8=~`ef`c^qZ_)p!uoYlw5qvI*fa^fxP8157mM^2?B9WM&L;Mss# zsrshn&5##4aiciR3!VE={REWtRC9WcmU6BrVtdwrprQ2PUCzc6>uW(r;Z#sRQ#N;1 zHP6v)R>lagqCc27X0xThTVwHMGa3M7RO7QH4emKeLDaOhPn;-Ygmy*78T-iB{7ZZw zPK1iPGlg80HNfeq;)J#H{3#2#UCeYo@U1|Pby4v@{K^)th@5o!;d zpwYUfO^YwUp|`@WkyOL`DrUhlf6e;GLYGB39{yhYnYs}NIKrRD*ljc`H)5r2_8))>9dFhr5FBk&3q(_Y66 z^t7BJ&(R1JLoB{;s=h(d&(YJ}Pu3ne561|{o=@^7y|rl#wz}^Wux3G^ENc==-i&1c z?nMLk$4=O@q_$mMRhb>|FDlYUlHtRgez%tIasE=oGf;n{`56uS6cZpe1UaMSmC`f( zyaB7x@!g6i#8VpEvy>#^H#5=XKN)2;zN0~EM;xmiE7SKQb|Pfdky{_AqHIGfyIdUtND*1jVIFY8 zHsTDaj@e+>z&|bax*(J+@I0+##p3G{BwF<2 zq`<@SJ*RBc>loR$xA*|-s?l(E!j<^Z?Rb^hjhLQeq4a!5Yx&#s6<}k(6PdrIh+4#; z$=V!i2<(xlKI}ChG^g{MOYy|pBg9zsJ#s;5%4TQ?uDR7(8AG#mB1~?1C_YNu4jS3j zfra>`X_6?*4KawEoV5mFuA+iEYZ%~n&$U%{k zoH+KK0gr~VX7f*4XEJZDWB|0)4I?h*ZE^`O%R4RmG zLwp}KQHT1l(fod?TL`L5u~z1J`?IUu*M|@fn==>91B#D|i@LnpLDD7jwac@E=P22f1XwP$}(DF1(ea{0vG!%5RrcM-0;oz30EE={^5^(2R!O3hw-l9uiH z!TERG_eRzGB_Xnxd8R0^Qo&bnB0@A>%!$CewzI=)flJqunv!MmQF*uSV~BnA1N74W z(f6`q7`$l{Mf=0#9|;d3enKa0H1V6oU&k+C2^Pfc;JVaP*e;J7Uc^ntONP=}kU~-% zClLV~s{w0up1Cu0NYa-q5%r4-LE|R@fo~^C7bFqAVn1_;rnqhFlRHkPtCNVL0AIxp z{9TnRqi?KJXkBlT=L6(Xju#qUppFnlRTypn6vAKP>&OQ}UoYhReoETx@DDwT;@%U4 zY{cHs5tuK8jQSN=z|8BE2Lf`$aQV?Xd*Ulq1{%$N2u6)7*=gS zyb3o<;vnA9A|w;kip|t0iZUV`_K9$W=qfuQd(Z!SC}!GsJ_-=lk(ASYe{)Z)uR>h( ze9DR*>6n^a&}3I0)_;*6S{g7sx%o!*$`iejEx=S3wEGeMT&Q|`z9h&_;QCOMBmya; zSYK3RlpPwtN73L?xl7m;@XJtC+Mm6-;CR9j?L|9|B9pJJa21^!cAD8QoQm{Kl6zAo zlP9!r6{89zfo@p1s!>KU_1``e$?RtQe(}>+exk{;j7LUt@d&hDaG6vV%3ii!kL$kH_D%kHEyo(gMhc; z2MxcOelCK4XglDAH2MqTd+}$1XXl@2+(fdBRBL(%EfQH{PtG5mKB4)oE5L=&0~80e zHNR6c_n90_^WKB(xuA(4##^C5L?J_-(j*$^fuzNAY9Zf!w zc~viDrHrpzIpS*xEXUkY_(4C14{(;po=G(+N&D!^%ufz^DA?~^*?M#681 zUxf@eX{m<-CV`DuqbUSkQY|Z?tGW{rT0p~b*l9mxi4(DSnzI!xRf8r!a@) zd73uA7^17mMFWaGDx0$}Vy7j>l0S`wD28Gyq#7V@=JmcilW+Q7y9@ZSzn^1qwgUXa zl*C}#4&-)}%`N4#25VrX8_daU8277J6yRcqdp)*H0I5R(W^)Y*z}&8@Bpj_xyK&o0 z6#foy;kB0h#CW?w(So|MnetxV+vJ9uxf~r6F%cvCEC=^D|6{tScUK(ko1$%Vdkqq3 zy1>Q6LW*d%w(~%D`M~*oS)9~=TM#>F(mD(E5I52Amkjl+GoThzK~^m~Ohf{2(J&>+ zG-9kw0~27?U{6sr~WcCO4V_6DmB|np|nR_`e`SzhWwj{=6 z^81B1)d)#05PzwbN*TM^+>aV@o_;lfcsr4@9mH^q&jR+k|E4~AQT5(meKkB#)&tr= zXk5vcw|imLL$!1B>ts_~XUX-bmeDyA>V{Z}i$FNy5~n^*sFt%OCTm-wTUlQ+8O7B= z6eWs!=g%54_EDsQtm>S0tP3~|*~S~C)`lI|@kLzsm#FxLvMF(`7+|Ur-mHb^<*HS{ zVSt|%S_=!9KF|gl8&&eAQ=I3gS3GHJCq)=bh5+MiidQ~7!7FFitAe>tK=$}2-esuv zI4JjRWs0p(GW_{V3gNwBzL{opZ7X90>ViGNot%umrYh}5(sBP_F}skRH-AQ-81MTg zKe2k-+=aAi33If{6qolp{Ra+7E5ZkiHtgFeu1$vR;We0C2XRizKTg6lHwFjV7@&`aB6jJFKSyr@fFOTX)%iyBZz6G?#bYQVZ};}22W-gZSr zOmSm6;>x4k%+@W;dT#k^eNvS%c7BN8ZLKn50W4Qy)n=)!Ka?NFdiaxoqeJnony&9<}p|GH{VTNc-7gKV%j}3)M%?jZHH4~ z+Yv3DdBU~N%*$nd^C&NxaUH{|-iT|;T4}5x`haMqmW$TSX8su`U@o=LPUF`1bbFkV zEuK@cyFk;;yO$n}WZL= zbY_7J@hqWB&h3(H>)#yTTfvvxpJb>sf zpJFta)=@%$+#8PUsSotKjrEH#|YZF-2W0YMS)gpog5x7 zlsq>G#8y#eWkSUw@rGqyi5eWjZqq1(x&fr-dqb3cff$0$>+}SmPgqi}T`J}u!tWZr zve^(eczRY*!JQRFWn8XO{u5iFNJcVBVO? z3=dRxvz#Z86l|>6^G3Ibgh4=u|Xu*W-|d{c_S+cu@U!~a0{tD_7x%HNLTh0;C)QdFf{Cdk@tSFf3sWB z>k&D0XOUmMaVpzaTx*z`9(BhJ;ypnV8hr{2Ph50ddZjwGM8ML^G@|$l&MqKAq1~0j z#)skbVf}5un#_GbBEyxt72b`!z?QfncaDOL_jwkRQ0PkP_ILxNHSAJfYyaY`zJrtr zc7Vu=Q>G^C!i9e4JU_9+(9&I8VZj_zPTI}ny|V9R*|=GYAiRytK}@w$@s!lt2d)Y_ zT!J2RkHej`&Sp>vF~!j3^`>t;5E0Giim8j%wt*5*uJ0$mgq}GXzTlZ7@pVuMXVX}m>E3|zi`qoGN+7B6Rpj|c=yLowz(-$ah-?PNR>pYkK+;mIX*pTsuWimIzeN3m zfy=C+(qfAd%`a?Xwg#R@8hhTIEOz)^1qM#!yLF!Ro0nw6z0s0AH^haZr&FWBH>eI# z(<^6d<>7nmZ4vzrT^~>Ii=@9z^rp5rJk+J+>2QCW0_Qh+5w|jjSU)kc{RJlO3nWH>LKNmY2Ahi^sA7bj5bAWa{NJ+S@+}3TeSmTt%x#PrdP5G_rWA z44}ra;$GK-dx8x===uqVm-^nK)@9=>&?`W$EI_%K7W(m@ zkP*)pkElZC8RYN-dX&W}T{P0QB+wb_#T#-&CfrhF5WZc5uvDCeP?Ks!%U$$~4odTm z3UaNgy2vW74LfM`Q-&PtWFu8<_jzT;25g3!{gz1Puw0v8A%-CDsJj|zmaIhc zH>qcfmjk9||E|E+PPMi_8@AnE%l7BW*9Ln1m>TFcx9XwT1yoN+Q`6>wW7(8Y8zfNg zn`vfQJ|_#HHy3SPDc8LuQa>MfO|bTran-axVYjL>pUpA*u+~1jJFv1d{sfI5af@;? z;Y#~U(|@h9@jw+_RWi2vbwQG|dGABq^|qaq&h#X?gEk7b%y?%&>kl`6Z|Fc0Y&uYU zzgr`cZ}+~XY!!>fc!Yz_oX!?OE4uGPDXX*Mv5$q)FhFBmR=|t8E}a+ z_w7ww8?E`B54>}1afVP}W zD2`eNp{9$IDC@NQ!gSv*-0%g78`}Uq*#fuRv@zJqjAqTRSIDlg_siE|gXV86tabcF zyuw&2-J=XLpN2MoPZQiqdLdJLA1)-Bw{epOT%vdl=1}y8ar0WgZG4v7nS_x+Uo`06 z*tR8BFL;;v^Rr$L#cI<8Pjvf(xUv~(Tm-;-ec%0$It2%_-LI_fbX9r}jLg5&L#i;h zhV`({_P{JCg_fh{M`jAaPm`i5)*&Y#ckN%GyubSCJ>q?4kPtEEu`$bl7Nrg0l?Q%= zL%6DJ$vd|2nr77=<61R7h8Z+30r*4lszGQ_3oT!`XW^Ogk9)QSDRA*qJ_JzK*;~dR zjn$_F=#NJtlz!WJ=X?4w4s%#5R$cC&>#|KrAo1S5fz|5L8;B1PV$+Hc*gNx6Y+x+x zG5PZf3WTz{(FSSQTsBu5Vafv_bMt%sZ}MK#MzT09>ZRA1;6dvC}n6VFGTn=4GVmui+Xu?JI&czCu)9k}SVoYGnNiq0Kex zc1TyqU}6m~ML4iAIl1f^6~Dg^0H{Z8WS0r2RGz=VZLHHAINP&ytCe}?6^(J`w_3kM z*oK>rjW5)2=s^5NBv;>LF4CdDXHB{d-+7SRav&141_*eedZ2a04Ib6+h!MoM^${iP zY(utWCy^ZfMV~Ep)2}whghc?$j(zmP+wQu8@fy?@c%uj^^HlQ8e;0uVJ-_Kk zC;|8>DT)(gSvO=Kr(($HnvuW|c$YUid0VueQ5Szj<<2KbSL@D>tc_8<-DOq3{eEMhK8(g;7ET9`-|r{# z^QX4DQeJC)cL8R?dRCA|UDsx13yx*KA&*B(_yb{yW-n1C-Y%}9iZRrrHe$O%tm@T& z%)9axZ~MFKbsNcuTVb)@uZ}nmM@<8r9=jJ=_Uu2zkNHgnLzNKNE!``Uz2U1i8}JRx_iJx6|YVHeKy_AHCO7+gggj<1ky?lHzT^KxTeFP;}zJ~MHpD;LZQ zXDaYqlnm>>(K^7G^5`Z&!24+2?9x9Vu;$z`TXY#v({M8yv|h{pPrr7Y;^cUjn7Wa0 z4jgB!lM(mYGc1GVi{|i!hD6~?<3Cd_b4a6ft6?`8vksRu_EV>GnZs=HMQLh_<3)3a zLj1C=DQg+jGhxy;ur>s6Ni>%<&zKeDIo1gHy6oiqhQZAR^ZItu9cZ2DqoRpz1^B&( zZiXHM-_Rs-s(v*8AiF53c!+ER;PGEQO+6gRUXgdJN2eoS^_PX_0-h}|7`nq}wrS)? z`{Yr*y558e{8X|;qsUTN=7oqa&tn%GxEL zmR(PX->~}SxyQHqRWWB+D1IebQ>wbW1y*OyPQA8xK^3Vyi@$DoqrZO+QKWG#)M=W> zW)C{Fx8{QwLtUC1BoB5PcfR z)AEA;v_D+`%V@BAgEj_{U%#se4E!9%vSNj|9O_tWh>QiXQv9Ae_RU3VxA$LjLmuM$ z3of)$LZy8Vau(-iD}MbkF(3jP`UuzW92G2{Qvj*ME-wpA-TKpvJmUIBh-6>Ye3#+o zrGo3Grx?Rwz+SieTM$@8AC9WvYaRNgRCP#l`g#N(>0^G8v;hE4auNlS`b(fFZaAPY zuAa_1TH=C>8-y;0#+qCs^};Kjq+zu{z*;Wjj$s86e<}bP(wr@>Q)DY#M5Fjx)TE;T zs7f*dvP5?7G5TX5^KtO{Ea@wPfSFAn zp_XEc3RCO47lPapX}4Q^1;#aTdOr~BBX`TME z=F*U1g~vuxgT*9vF}w{Rg@um)qHcZ39rIX3);YE?-ii0kn)fNsva=kdhEfi6zb?IZ z0h^t^gWNk8q2ckF{nQyzBKz`Z;tk_9J&wbhq4yJ?(m0K&1IQ0q9E)-y&m+|~aKhcv zd@1?O;+7?tpLSnvCgGT7`Y~~Bo4?I#3vrdM8P&s zb~n=X8sDvsHpznFt`DgGZ@zbO-^8d6%PuM5UJYgZy7vwn* zsD-(fHB+_Yzx%@ACUi;ndTmtL+qH25%!Gcy)y5Q5N>5&l-Q8KLzZN5E~)Lv;EABe9af1n#4`jrh{t+@*n3;d+}O)tpUSx|N4N$52_ zy&6Db8|yJV*M~P{OB>?I-x{49-b)KJ6*({LjUGdXMe&IM`o4^5X#%JN0ceOte9swe zKy}3;3R)Z^SuI#HDiT;LjZ3dkoD>d6MEsLp)+7cR$wWznt>;uf5rT0R2Je$BzBNY? zt$5a(OQWM=51PtQ)y`Z+tgk{uDyy5!ZI`FPfJE_fMq^2n`04zeG<`@f{kwXSnzy#)Y3!a z9fR`75k)sXqaDK^*teB5X}ycdVV+;`wTErF$qpc7`?lsrQ9dU;N-!PN{s$aVjB_eUp_N(NWht4ugr08i zuXJFr7M&O0jdMFEP6P&)&hRAK8o&-j=_;w8;3{|zPwTtj%NP4-y{%#3E)GN-F=x0t zV4iQ*xh(ai&foCu2ObmPl~}Tn4`Fn|ui~q7%uY=}uc?y1Q$EZ4$L_y5Oj22Y%>cTj})74_pZj2undP)G}U+ z5>4xMXYFh$Ng`@z2)e92xl?+Ce>MV?R*zZ=vIAhTLT`1(3wxlpM1HYl{%DJ))hm+= z!_}54Mr&n7ba%XG@UM~^ICFwf?=B(&TnH;)jj^$w$B7-vL#&MJD4JeV-JzUCC-!C~fVtJ|wq^tPnIMbD$gm2FoP>9e6^%jsG({^#v-3Ug`-< zg#FsEcGL}vXydIRt2qFv$Pm}TO3=?xvD09gFmVKaMH1d#?vB>mH%`LJ0MzeFDsN0Db}}k9D?Rgt8%t{46B!Y|nQkmGvZ0-dSNgP12vdZPE%6d<<&I(%wxtUS zrEf^_0fmgYrapmT4>u*dzAG}efJ77NoDd!+Gw`m(5I<_#yVF)lGJLy0_KHZjEkng8 zR`1{zA^2kvFpi=DaZxPVZcfL=D>U6ukRHb=6!gXVPx?=w2I=)urxvL5r2o*fglcmM)KkzNtIjWK?u6I5*IG$c9M$0U9oWJ3)nTr0AC z0^6$f)Vv9SMG~%coRB0p6NN%IY_{ow_=opdYWzovf#bIA-xSY{Yp0qe$O}IG{5ma7T$y05rtkE=DQK>18HErz-RSwgE4TUE&Frz)365F9+ha?Zlg4#w~pQG zVFM2|#LJ{;@X%p?{fz=4Ttgx_9`WL@)I_+{$FCqE6Nu6^Ep7 z>Ejnvsc=g-eB;8diOCYf_6qrV2GB0%SVVrRFN$}m+aTiTW!O+z^N%eI-$T`kXJ=#F z79^YKCNCY)fyr;Y0;DceyXT9ZB6IYvqObTWYZV~^dJNlR{OKX1cvtJIph!1ks{9kT!D%tS@60STVu7JDPV|hE za0kIaw5UCuglmlz2ISFmV)j!rn*9=WxijEr#ip$5lAFKB*Hr$(8|a;Y-|+Iz@uF^3 ze1RYItnj9l8p7D)R6H;TfB_6s{;hrcM7@JNgS*;06Jt?f!&&}u98OG<>H}~Pt>+1=U+Q1IDKCLLVvAeI0 zA~5_jhqnQ&B8iA^ENrpDyBRKcvn)-Aa;NPLCg+NgWU8tF!x?xlY6IdiIg14f$52nj zLi$PDOpW6382)ZS9cmW#ULn)-;_Tt7kD=3toY)d!Tu(pqb4CKS%>E)q1Akj)h-e@+m8XtH3Vi7&>UO;ah5fi6zt{fSCrz=FPs zP10RUDB<=1?fCiXGeCZz{%G!fN(&xJx7riRph_`4bmOK%;)7iIfuHnNgzIhdhPw-3 z;B605dXbgvm11aVg{VgKC7!YDM3|@Fanqkgln11#@_YGBly)80-br;*povH*g#;HS z9&`>(I6FY=5l!Q~Cp_X*feSnI_f2!_bpNn(v`;y!KhP3aX}MkS4%TjS0M2v#uK`sG zLUm~=c-Yfe#@SG_2(`7W0FzM}?Qq~-+pqBZfh3sojKHHmo8%YY851|s)%tx1_($y0 zmPAHbA(!uNfq;O&^Pauzvrwj$R%Pxde4MK9TT6~f8%F15a5VJA6$|~jwYL~Fi( z3|r6xs)(e(HJ)#Z?Br^NQIy`HXLy{C7!s z$Z4?&PnoLiYm3Me$vwI}ep%p=Q*4y^?2XVQ?y{L7!UyrFIm6pY#Qqj^NmNFuF|x?+ zS4tGph*D9$x!>@ep?dzV0l`?7fz)1%;$>^<=hv|kg*7?B3&Gj7<=(Sl-m38XrYL^Z znDmP%)h>GcA8p8|VEw%~!*L=Xc@JvCW~_8EOV;!1G`0wZrwMFcjOe{IDnI3sCsx>92VE=)%5^CisxW}@;)Cwi2r)ma8gv;+m&1jR@q);n~zO2sHR;MY0+e+ z{{?Yi3}rueA2h)>wXzIN`IqzQYhwfK(*WH8m^=KqV#jv#-+(DPT&A_}Q#=sW0x5|< zVog5KwOs#Fe6(>50rAy)F@Hj{bA~Q66aW{aare#UQ|ti`H;(S~QWxP{e#Y39SFmS< zPqd6sN3$HL-?@;`_N@FZWT_XjVWue58C#@HSMLa86LGxRNS&tWxn`*8SXpxR-EyMw-}D&4Gw><|lqh>LWeGnC2`*OVMwngYt9Z zMsj9!$tO)=1mExj6p;n5w=Cg7PtLOW7P8m1&}>2-G1c~zk%!|NvhRIV9@$AT+?}A# z=Ouh<-8Uj>S{n+b}@b-26=L;=Tq@-IIML>AMgDZtVOf2z}fM zV4jB8s~GqPimK3I;SmD&WJJn36cdSXakYEE}Z z?kduW*sNP#-KkM~0nglD$o+4_b)OUxnzWUX47U8K85? zo4haL=mQ7xPNR>e)}o&G$A5|#P2Gzw8~fqQdKU2iNcxH6l)F|NhpSzRX^DzE-f4!z zP*#|0SsxThKn+290|BXNy=3R2?BJ42YUrxxcAfG%l~^VySaJnDFIFd1qlsbHo3i2`KO2s|B+R{qzKglzV@4@K!VwT*0zp&>yN_mFKZ#5CWpX&f)&bD%_D&$Fb=kXZA=5= zNrq4AtI20ZdMOfz?F&!wKJ7@!mj;l}_zK*R$Da_z6p&W-TSW=>hie`_rVJa#=bobkkp(=` zu`1?v(PEKR|5BP)v6!8(q%|r;?9GvuryvcmsdS)J*a0x>Ysp#H6Y6UuQdK;V@Cp}0 zBH25&-p8O2Yjc1vD7ZT| zl~l4*@sbTRPH4U;Xx(y8@xiBAp}J%BRBu4PbGRrmcb41+*YBE*(GN#x4~!yYmQaY8 z{e<#B_X11&QhggSbk-HLb0kAdFD0D@G6a5A#_hBgU=8`Jd0X%onh)c(x~~Kl#pZ8X zcxRXnRdRKsJX!h7*ZFq#)WxR^aC9c7SXmHy}EwX6QyY&xEXY{4oFrZXD zS#2@c{3Nvu3;O~DPi9QMJ^7(`SW;XyaD^K=eYG6s@D~C21AX9cz7ZljBR=ykYiea3 z@4#R(q-`Z3ku%_6V|-~pXH4QF#in%&`-rc}0?|DLaGqmMBp_?D+BNPsFR)DnWiRt* zFRIFrV*ZE|T`UlL*A_|bV4mRPdRy(tfM}x|kS0|U^Qv3!MtNsyCai0Ls1dcYWr^Jau2=7oTsxfs24zPR7DZc+qk zNht$DC$-wY#wsdA(X<8FrL3#aQoPS}_-N|U#Y==3e!1G>tVodXS{bY|3;`W4lnhYS z+K*h!L;<@{lL!SH1_}06s#qVAPdAM$s9X$hO&S^Zg_Y|E?gz~WP9HO-;WLRXhlX^D zO%DwR*Za@c55T%WpG29%XyU(e@zv(~rMR40VE4mj__rA(vwpFlPWrJ!g!Tbq73|HT zlTxG)3bdu#5?l*SQ{hFThF+XGw+P^d`hZ4iRV+WDRx>ZexAStX>82LBXHYRW!HErf zr)i4F5*-Ry1j@4ctYU6Fpzp5!U;WQbT}&r0lFoPR)XP*?Z7AX6Ubs(0`f5PVKjH)z zL~LiTQhbV^#N+@G#D7tZal?KAIp)6Fpal>$N<+m62dH((p(#ZBOXI2u!F))dwTq%@ zB(RhI1sXS06`ciyen%?>x3G87_+&y zFd4Iem{Q39W8|}1Re%+yA5SLto;G%SJUL^o?FOoyYLIbuM9)6XS}nAqMKEFkQf^Rc zeE}cT1SABws3uYb17J9J!eabL_8AYVtAgvt_t$ZAQtQ);2Xc=F(D`sjc}{|lY&BHI z%5INmX8-m?;)zI)v>Y2j8b2VSQw`gdA{)vrM(jZiY~9 zDe4h_aW5gD%U!U=3$g6`>fSt>tWt7M0thrI%#}>QtvO@lrF1S;pg?hiY#bSTJGLad z_!6C;Sr{se*W5!iAbwZ%0ue*@0%%iPf9|dUQ!rn(Q5Zb@BQ9C~vNZIP9dF}OaB-V+ zpUy&B8q)`BSr$UPB4gr9=v5^9tU|Vmc68w@<|g?6DmoXpCeD11TkR=NSG%;wwyZ}b zweD8CtWCEl$Su>><6(PTh}CnX4=B?PKbM<5U&mq|!6lVmRM&iMyso_XGR-rw!}`+R%!LsPmzH{oK8Z1#ziJhH~F zkmTDHQ+4t>s?-(WtNI1V4S&UPZY*Y(#`R;L&Gc+<+3HS@=7DDZ1@&pU2}?bXep z_58QF22tDm%a+5ob=607tI5M1&S%CIQSj&CKOw95?RfR%yV*U#*T#(0N1uU@B&p_K z0`XX;1PiH`zu-9FSvjVq+=9G)rseXkT6kJ1w7k&2x#1{~0>0Ux?IQnGQOErzRWzO8 z@a%x}qw8FiJ3sIUTQ6hr4}$A0pH9>WI^t~WrlZ`W;PtGnd1u>84ke;x%CDdBiJ?of z8_KKEH<0<3==CS4*<*IrkyJyW|38U?8kCblZQ4NevTK^Pmald}9T{n;jG4;~?LM$8 zOJ@w8uX?3Er`rIuinqa-fOy^5KJT#{c6?@Cb454YonJYe-i>#l?J23uAJDS>|HH;^ z>0%!l4%dskl}vV)`WxaDSu)yt0C%??Z8Zclbw|;L-+p1uIcl8F+cj4$2rYiB6DH_N zSC#ztzJs35cZgTwLVV`R^HhxUP5lv}I+Gcc-l^V<^#rm8F%VbrJpPwjPdzzl^Xm(U z;qH3gja!3zTfHyku2$4lmifb$>rV}a*<-w}mFy^&kZ1bIIr&^&R#!BY{*JnRV8fX) z)#vMrOvjOmoCDF7-iUvr<;f>xmZ7GUVm8)_mx^>J|7)W6CGYRNJ71SbH=B?8OVED% zit?fOhr=)Yj>vuQkINC|*R5}W)2+*)gZQ=y`2MO}t+DQ@D563)*t$x{B|6`HJx2UN z`D4jjP~eRxlGD=mmbV+JGZUw;YN$sfYdrf$#a?zNd35r0uH)dp2R8K= z+6!m*K2D-mF7`-9PV*{peOgZ&A_oB)%7#@3K-L>K}(K{HCBw#L_AJ&!$qC{k2 zw>9-MWn|n&b)NIY`#_|E-%^)VolVGOigu9arH(CMm2YY}m!~?bIL7Bqk^&C)Q&}9H z{R7%(|H`s7K_BzAUdgYzZPvb_&89Ao;-&qBu-Wnq73i0(Y9YjWGHoYCGx;qUJ$)et zd2?CFJ@pzvsZYy35|Hpt^HpO~uqaJ{Gq+4a6EW4-gnQw`BiNr*Bl27K4}T}MDfVV+ ziZZGb7AHPj{&ZrK>Xdz5aJsrXkuS)^h2dw`5pitTLV?g#f0sQXdQ-9ZsBS+N>v_>T z@WYn3^fR~rQvF&cFs)lRf8!9f3y5! z)rLEhx~h$t@qbS!%TV>lyx3LcE)aOUU#bS14hrd=uSel&{(46~_~)(M#f}{RJW%FK0bNS@kIPQg_-^Yt0UGTvD6Boh|=BGHz%G${%>vP zSKP}!|EVRnO%PKT?lvauX&I1jy?NMncAnhddczmi^@Y`QyR3wN`0K{uf5|O>NAc@L zRcuNL^|rG7YZOfJl_0*S2 zV3?T_7z{gVYCQ?(4mRg2LWK^&{VLgqvK-2BP#s4HUnq};N`0PG=;OQi@{jBhVg1Egzfit= zX>@;URs!}!gPJNLk8$Ba@+syxdl45HX?isZ3M53o7sb*9rjCG1@%Ld@Bd=YIB zJ(PJrr2&gbH2|h>9+!X= z5m*bk_hXBzgRGgS7`}r5puFFT1tUNkv@9j~7&SkNahqYjUc~!?>`*B0Cz%GZ@fQ&2 zaT@)PwQNg}1;Hz@FGJ`5Qa2?9#mJHcG<$}EtQJSwl+hBGo%ckCw|LQDH(Y_E9zwpP z5mK;#Bd%4Xf0V;9Qi^z23(Ob>2V%^X$QNn=>I&mWH5}{L_CXnb`Tzh zo>NjJe?bK9Vt4UIlRa8x8|OQTMm?@qbSh1AIc9G_f1K|?*+ZZk9<+j)RoK!vHeFKf z3y><|jRh=~Rs)xa zo6)hfqyZ&z=dKh7@kw}h*it>VvL>|A0mQl5u+0|lXz!VP$azygy zUL?RfFnS!D&4S(2YJQ6Q0~!ES9dTce!^;o!qm0HRhm0_L3M^cJjf9B3WtANYN`ZwS z%(PhztWd5Ox7%hP6_Q*P;p*mCG25*-Qftv8u&Fa#L1|30Tj;q!Bl=t^p&}?B7p75j zErffbgjwc_LS@|IEZn367$-Bz7%ACE>iAADoWhl6P)rF%8PQp-+I$wO$AJc%g$kB` zmN`(K*8wfYuZ4{`F^A4ZOPCg9014`K!C8od_@6l{*aWi~$vh(?P>_W!h9Oz z3_2h@jh|5C2uOkI0jm$r65ddVg-9z6aqC4K0a$3#Oh$%+;`L^v*Ce^j;~-ex*++Vq zdw|LZF8zoeMm;Hr4S4h$MgcdBx*D4t)Y7zG|gj9O} z5iMiYGZItarx2&oH7$+zK4&DZD^jR{sP)15dMQ*JxnadW0W9UI*#H0l literal 0 HcmV?d00001 diff --git a/data_application/88soils/filter_onepercent/soils_slection_prob.txt b/data_application/88soils/filter_onepercent/soils_slection_prob.txt new file mode 100644 index 0000000..786909f --- /dev/null +++ b/data_application/88soils/filter_onepercent/soils_slection_prob.txt @@ -0,0 +1,2184 @@ +"" "prob_compLasso" "prob_lasso" "prob_elnet" "prob_rf" +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Paenibacillaceae.g__Paenibacillus.s__" 0 0.06 0.11 0.02 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__muralis" 0.03 0.06 0.26 0.07 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Novosphingobium.s__" 0 0.05 0.05 0.05 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__" 0 0.05 0.06 0.04 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__" 0 0 0.01 0.01 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Nocardioidaceae.g__Nocardioides.s__" 0 0 0.04 0.03 +"k__Bacteria.p__Bacteroidetes.c__Flavobacteriia.o__Flavobacteriales.f__Flavobacteriaceae.g__Flavobacterium.s__" 0 0.04 0.07 0.04 +"k__Bacteria.p__Firmicutes.c__Clostridia.o__Clostridiales.f__Peptococcaceae.g__Desulfotomaculum.s__" 0 0.03 0.03 0.05 +"k__Bacteria.p__Acidobacteria.c__Acidobacteriia.o__Acidobacteriales.f__Koribacteraceae.g__Candidatus.Koribacter.s__" 0 0.02 0.13 0.04 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Comamonadaceae.g__Methylibium.s__" 0 0 0.03 0.01 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.1" 0 0.02 0.27 0.02 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Paenibacillaceae.g__Paenibacillus.s__chondroitinus" 0 0 0.09 0.04 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhodobacterales.f__Rhodobacteraceae.g__Rubellimicrobium.s__" 0.12 0.1 0.34 0.06 +"k__Bacteria.p__Acidobacteria.c__Acidobacteriia.o__Acidobacteriales.f__Koribacteraceae.g__Candidatus.Koribacter.s__.1" 0 0.03 0.16 0.05 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Xanthomonadales.f__Xanthomonadaceae.g__Dyella.s__" 0 0.02 0.06 0.04 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Microbacteriaceae.g__Agromyces.s__" 0 0 0.06 0.03 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhodospirillales.f__Rhodospirillaceae.g__Magnetospirillum.s__" 0 0.02 0.08 0.05 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.2" 0 0.01 0.07 0.04 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Rhodobiaceae.g__Afifella.s__" 0 0.01 0.29 0.07 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Streptomycetaceae.g__Streptomyces.s__" 0 0 0.01 0.02 +"k__Bacteria.p__Bacteroidetes.c__.Saprospirae..o__.Saprospirales..f__Chitinophagaceae.g__Sediminibacterium.s__" 0 0.01 0.05 0.03 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Nocardioidaceae.g__Friedmanniella.s__" 0 0 0 0.05 +"k__Bacteria.p__Proteobacteria.c__Deltaproteobacteria.o__Bdellovibrionales.f__Bdellovibrionaceae.g__Bdellovibrio.s__" 0 0.01 0.03 0.04 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Xanthomonadales.f__Sinobacteraceae.g__Steroidobacter.s__" 0 0 0.03 0.06 +"k__Bacteria.p__.Thermi..c__Deinococci.o__Deinococcales.f__Deinococcaceae.g__Deinococcus.s__" 0 0.02 0.15 0.03 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Comamonadaceae.g__Leptothrix.s__" 0 0.01 0.04 0.07 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Comamonadaceae.g__Polaromonas.s__" 0 0 0.07 0.07 +"k__Bacteria.p__Bacteroidetes.c__Cytophagia.o__Cytophagales.f__Cytophagaceae.g__Adhaeribacter.s__" 0 0.01 0.16 0.03 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Caulobacterales.f__Caulobacteraceae.g__Phenylobacterium.s__" 0 0 0.02 0.04 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Mycobacteriaceae.g__Mycobacterium.s__" 0.02 0.02 0.06 0.17 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Paenibacillaceae.g__Paenibacillus.s__.1" 0 0 0.01 0.07 +"k__Bacteria.p__Actinobacteria.c__Rubrobacteria.o__Rubrobacterales.f__Rubrobacteraceae.g__Rubrobacter.s__" 0.05 0.06 0.25 0.25 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Sphingomonas.s__" 0 0.02 0.14 0.05 +"k__Bacteria.p__Acidobacteria.c__Acidobacteriia.o__Acidobacteriales.f__Koribacteraceae.g__Candidatus.Koribacter.s__.2" 0.16 0.19 0.42 0.41 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Pedomicrobium.s__" 0.23 0.28 0.65 0.07 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.3" 0 0 0 0.06 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Pedomicrobium.s__.1" 0 0 0.01 0.03 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Micromonosporaceae.g__Couchioplanes.s__caeruleus" 0 0 0.02 0.02 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.4" 0 0 0.04 0.04 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Mycobacteriaceae.g__Mycobacterium.s__vaccae" 0 0.03 0.24 0.05 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Lactobacillales.f__Streptococcaceae.g__Lactococcus.s__" 0 0.02 0.01 0.04 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Xanthomonadales.f__Xanthomonadaceae.g__Dokdonella.s__" 0.04 0.07 0.17 0.02 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.1" 0.08 0.12 0.34 0.11 +"k__Bacteria.p__Proteobacteria.c__Deltaproteobacteria.o__.Entotheonellales..f__.Entotheonellaceae..g__Candidatus.Entotheonella.s__" 0 0.04 0.13 0.07 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.5" 0 0 0.02 0.02 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.6" 0 0 0.01 0.11 +"k__Bacteria.p__Proteobacteria.c__Deltaproteobacteria.o__Bdellovibrionales.f__Bdellovibrionaceae.g__Bdellovibrio.s__.1" 0 0 0.07 0.02 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.2" 0 0 0.07 0.06 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rickettsiales.f__mitochondria.g__Diplazium.s__pycnocarpon" 0 0.01 0.08 0.03 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Pseudomonadales.f__Moraxellaceae.g__Acinetobacter.s__" 0 0.01 0.07 0.02 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Comamonadaceae.g__Rubrivivax.s__" 0 0 0.05 0.03 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.7" 0 0 0.01 0.05 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.3" 0 0 0.02 0.05 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Streptomycetaceae.g__Streptomyces.s__.1" 0 0 0.07 0.05 +"k__Bacteria.p__Bacteroidetes.c__.Saprospirae..o__.Saprospirales..f__Chitinophagaceae.g__Flavisolibacter.s__" 0 0 0.02 0.04 +"k__Bacteria.p__Acidobacteria.c__Acidobacteriia.o__Acidobacteriales.f__Koribacteraceae.g__Candidatus.Koribacter.s__versatilis" 0 0 0.01 0.03 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Sphingobium.s__" 0 0.01 0.09 0.03 +"k__Bacteria.p__Nitrospirae.c__Nitrospira.o__Nitrospirales.f__.Thermodesulfovibrionaceae..g__GOUTA19.s__" 0.09 0.15 0.33 0.06 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Oxalobacteraceae.g__Herminiimonas.s__" 0 0 0 0.04 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Turicibacterales.f__Turicibacteraceae.g__Turicibacter.s__" 0 0.01 0.07 0.05 +"k__Bacteria.p__Firmicutes.c__Clostridia.o__Clostridiales.f__Clostridiaceae.g__Clostridium.s__" 0 0 0.09 0.05 +"k__Bacteria.p__Proteobacteria.c__Deltaproteobacteria.o__Bdellovibrionales.f__Bdellovibrionaceae.g__Bdellovibrio.s__bacteriovorus" 0 0 0.08 0.06 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Beijerinckiaceae.g__Beijerinckia.s__" 0 0 0.01 0.04 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Planococcaceae.g__Sporosarcina.s__ginsengi" 0 0.01 0.08 0.05 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.8" 0 0 0 0.02 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.9" 0 0 0.12 0.02 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Kineosporiaceae.g__Kineosporia.s__" 0 0 0.07 0.06 +"k__Bacteria.p__Verrucomicrobia.c__.Spartobacteria..o__.Chthoniobacterales..f__.Chthoniobacteraceae..g__DA101.s__" 0 0 0.01 0.04 +"k__Bacteria.p__Acidobacteria.c__Acidobacteriia.o__Acidobacteriales.f__Koribacteraceae.g__Candidatus.Koribacter.s__.3" 0.02 0.04 0.26 0.21 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Legionellales.f__Coxiellaceae.g__Aquicella.s__" 0 0 0.03 0.05 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Micromonosporaceae.g__Couchioplanes.s__" 0 0 0.19 0.03 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Streptomycetaceae.g__Streptomyces.s__rubrolavendulae" 0 0.01 0.16 0.05 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Micromonosporaceae.g__Actinoplanes.s__toevensis" 0 0.02 0.01 0.06 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Rhizobiaceae.g__Sinorhizobium.s__" 0 0 0.03 0.01 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Microbacteriaceae.g__Salinibacterium.s__" 0.01 0.02 0.16 0.02 +"k__Bacteria.p__Verrucomicrobia.c__Opitutae.o__Opitutales.f__Opitutaceae.g__Opitutus.s__" 0 0 0.03 0.05 +"k__Bacteria.p__Verrucomicrobia.c__.Spartobacteria..o__.Chthoniobacterales..f__.Chthoniobacteraceae..g__DA101.s__.1" 0 0 0 0.05 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.10" 0 0 0.08 0.04 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Microbacteriaceae.g__Microbacterium.s__" 0 0 0.05 0.05 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Comamonadaceae.g__Variovorax.s__paradoxus" 0 0 0.08 0.04 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Brucellaceae.g__Ochrobactrum.s__" 0 0 0.07 0.04 +"k__Bacteria.p__Bacteroidetes.c__.Saprospirae..o__.Saprospirales..f__Chitinophagaceae.g__Segetibacter.s__" 0 0 0.17 0.04 +"k__Bacteria.p__Proteobacteria.c__Deltaproteobacteria.o__Bdellovibrionales.f__Bdellovibrionaceae.g__Bdellovibrio.s__.2" 0 0 0.01 0.05 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Rhizobiaceae.g__Rhizobium.s__leguminosarum" 0 0 0.01 0.02 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.4" 0 0 0 0.03 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Novosphingobium.s__.1" 0 0 0.05 0.03 +"k__Bacteria.p__Firmicutes.c__Clostridia.o__Clostridiales.f__Clostridiaceae.g__Clostridium.s__bowmanii" 0 0 0.08 0.06 +"k__Bacteria.p__Gemmatimonadetes.c__Gemmatimonadetes.o__Gemmatimonadales.f__Gemmatimonadaceae.g__Gemmatimonas.s__" 0 0 0.01 0.05 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Kaistobacter.s__" 0 0 0.07 0.03 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.11" 0.01 0.01 0.04 0.02 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Oxalobacteraceae.g__Janthinobacterium.s__" 0 0 0.02 0.02 +"k__Bacteria.p__Proteobacteria.c__Deltaproteobacteria.o__Desulfuromonadales.f__Geobacteraceae.g__Geobacter.s__" 0 0 0.12 0.03 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Nocardioidaceae.g__Friedmanniella.s__.1" 0 0 0.04 0.03 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.5" 0.04 0.02 0.26 0.08 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.6" 0 0.02 0.25 0.07 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.12" 0 0.01 0.08 0.01 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Mycobacteriaceae.g__Mycobacterium.s__.1" 0 0 0.11 0.03 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__" 0 0.01 0.07 0.03 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Kaistobacter.s__.1" 0 0 0.01 0.03 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Hyphomicrobium.s__" 0.18 0.25 0.5 0 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Methylocystaceae.g__Methylosinus.s__" 0 0 0.09 0.06 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Mycobacteriaceae.g__Mycobacterium.s__.2" 0 0 0.03 0.1 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Devosia.s__" 0 0 0.06 0.01 +"k__Bacteria.p__Nitrospirae.c__Nitrospira.o__Nitrospirales.f__Nitrospiraceae.g__Nitrospira.s__" 0 0.01 0.27 0.06 +"k__Bacteria.p__Firmicutes.c__Clostridia.o__Clostridiales.f__Peptostreptococcaceae.g__Clostridium.s__ruminantium" 0 0 0.1 0.04 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Sphingomonas.s__.1" 0 0 0.06 0.01 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__.1" 0 0 0.06 0.06 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__foraminis" 0 0.01 0.13 0.07 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.13" 0 0 0.06 0.06 +"k__Bacteria.p__Proteobacteria.c__Deltaproteobacteria.o__Myxococcales.f__Myxococcaceae.g__Anaeromyxobacter.s__" 0 0 0.1 0.05 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Novosphingobium.s__.2" 0 0 0.08 0.06 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.7" 0 0 0.09 0.1 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Paenibacillaceae.g__Brevibacillus.s__laterosporus" 0 0.01 0.1 0.04 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Actinosynnemataceae.g__Lentzea.s__violacea" 0 0 0.07 0.06 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.8" 0.88 0.86 0.9 0.58 +"k__Bacteria.p__Verrucomicrobia.c__.Spartobacteria..o__.Chthoniobacterales..f__.Chthoniobacteraceae..g__DA101.s__.2" 0 0 0.02 0.04 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Caulobacterales.f__Caulobacteraceae.g__Phenylobacterium.s__.1" 0 0.04 0.07 0.06 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Enterobacteriales.f__Enterobacteriaceae.g__Dickeya.s__" 0 0.04 0.12 0.02 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.14" 0 0.01 0.04 0.04 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Erythrobacteraceae.g__Erythromicrobium.s__" 0 0.03 0.08 0.05 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Paenibacillaceae.g__Paenibacillus.s__.2" 0 0.03 0.12 0.03 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Lactobacillales.f__Streptococcaceae.g__Streptococcus.s__" 0 0.01 0.08 0.02 +"k__Bacteria.p__Bacteroidetes.c__Bacteroidia.o__Bacteroidales.f__Porphyromonadaceae.g__Paludibacter.s__" 0 0.01 0.12 0.02 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.9" 0 0.02 0.19 0.15 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Streptomycetaceae.g__Streptomyces.s__triangulatus" 0 0.04 0.11 0.09 +"k__Bacteria.p__Bacteroidetes.c__.Saprospirae..o__.Saprospirales..f__Chitinophagaceae.g__Flavisolibacter.s__.1" 0 0 0.03 0.07 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.10" 0 0.01 0.07 0.07 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.15" 0 0.01 0.01 0.04 +"k__Bacteria.p__Acidobacteria.c__Acidobacteriia.o__Acidobacteriales.f__Koribacteraceae.g__Candidatus.Koribacter.s__.4" 0 0.05 0.22 0.04 +"k__Bacteria.p__Verrucomicrobia.c__.Spartobacteria..o__.Chthoniobacterales..f__.Chthoniobacteraceae..g__DA101.s__.3" 0 0 0.03 0.03 +"k__Bacteria.p__Bacteroidetes.c__Flavobacteriia.o__Flavobacteriales.f__Flavobacteriaceae.g__Flavobacterium.s__.1" 0 0.02 0.11 0.06 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Oxalobacteraceae.g__Ralstonia.s__" 0 0 0.13 0.08 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Nitrosomonadales.f__Nitrosomonadaceae.g__Nitrosomonas.s__oligotropha" 0 0 0.07 0.05 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Sphingomonas.s__.2" 0 0 0.11 0.03 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Pasteurellales.f__Pasteurellaceae.g__Haemophilus.s__parainfluenzae" 0 0 0.12 0.02 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Nocardioidaceae.g__Aeromicrobium.s__" 0 0 0.05 0.02 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Legionellales.f__Legionellaceae.g__Legionella.s__" 0 0 0.12 0.05 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Lactobacillales.f__Streptococcaceae.g__Streptococcus.s__.1" 0 0 0.12 0.06 +"k__Bacteria.p__Tenericutes.c__Mollicutes.o__Anaeroplasmatales.f__Anaeroplasmataceae.g__Asteroleplasma.s__" 0 0 0.13 0.05 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__.2" 0 0.01 0.05 0.05 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.16" 0 0 0.01 0.02 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Pseudomonadales.f__Moraxellaceae.g__Acinetobacter.s__rhizosphaerae" 0 0.01 0.12 0.05 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Streptomycetaceae.g__Streptomyces.s__.2" 0 0.01 0.15 0.03 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhodobacterales.f__Rhodobacteraceae.g__Rubellimicrobium.s__.1" 0 0 0.04 0.04 +"k__Bacteria.p__Bacteroidetes.c__Cytophagia.o__Cytophagales.f__Cytophagaceae.g__Adhaeribacter.s__.1" 0 0 0.01 0.02 +"k__Bacteria.p__Bacteroidetes.c__Flavobacteriia.o__Flavobacteriales.f__Flavobacteriaceae.g__Flavobacterium.s__.2" 0 0 0.06 0.06 +"k__Bacteria.p__Actinobacteria.c__Acidimicrobiia.o__Acidimicrobiales.f__Iamiaceae.g__Iamia.s__" 0 0 0.03 0.04 +"k__Bacteria.p__Actinobacteria.c__Rubrobacteria.o__Rubrobacterales.f__Rubrobacteraceae.g__Rubrobacter.s__.1" 0 0 0.03 0.11 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Bradyrhizobiaceae.g__Bradyrhizobium.s__" 0.01 0.01 0.04 0.07 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Sphingomonas.s__wittichii" 0 0 0.13 0.08 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Enterobacteriales.f__Enterobacteriaceae.g__Klebsiella.s__" 0 0 0.09 0.03 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Micromonosporaceae.g__Catellatospora.s__" 0 0 0.09 0.05 +"k__Bacteria.p__.Thermi..c__Deinococci.o__Deinococcales.f__Deinococcaceae.g__Deinococcus.s__.1" 0 0 0.11 0.03 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Microbacteriaceae.g__Salinibacterium.s__.1" 0 0 0.01 0.04 +"k__Bacteria.p__Firmicutes.c__Clostridia.o__Clostridiales.f__Clostridiaceae.g__Clostridium.s__.1" 0 0 0.09 0.03 +"k__Bacteria.p__Bacteroidetes.c__Flavobacteriia.o__Flavobacteriales.f__Flavobacteriaceae.g__Flavobacterium.s__.3" 0 0 0.12 0.05 +"k__Bacteria.p__Actinobacteria.c__Rubrobacteria.o__Rubrobacterales.f__Rubrobacteraceae.g__Rubrobacter.s__.2" 0 0 0.06 0.03 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Paenibacillaceae.g__Paenibacillus.s__.3" 0 0 0.13 0.01 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Nocardiaceae.g__Rhodococcus.s__" 0 0 0.12 0.04 +"k__Bacteria.p__Bacteroidetes.c__.Saprospirae..o__.Saprospirales..f__Chitinophagaceae.g__Flavisolibacter.s__.2" 0 0 0.08 0.02 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Mycobacteriaceae.g__Mycobacterium.s__.3" 0 0 0.05 0.07 +"k__Bacteria.p__Bacteroidetes.c__Flavobacteriia.o__Flavobacteriales.f__Flavobacteriaceae.g__Flavobacterium.s__.4" 0 0 0.01 0.04 +"k__Bacteria.p__Proteobacteria.c__Deltaproteobacteria.o__Desulfuromonadales.f__Geobacteraceae.g__Geobacter.s__.1" 0 0 0.11 0.05 +"k__Bacteria.p__Verrucomicrobia.c__.Spartobacteria..o__.Chthoniobacterales..f__.Chthoniobacteraceae..g__DA101.s__.4" 0 0 0.1 0.03 +"k__Bacteria.p__Firmicutes.c__Clostridia.o__Clostridiales.f__Veillonellaceae.g__Pelosinus.s__" 0 0 0.15 0.07 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhodospirillales.f__Rhodospirillaceae.g__Telmatospirillum.s__siberiense" 0 0 0.1 0.05 +"k__Bacteria.p__Bacteroidetes.c__Cytophagia.o__Cytophagales.f__Cytophagaceae.g__Dyadobacter.s__" 0 0 0.01 0.04 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.11" 0 0 0.04 0.06 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Pseudomonadales.f__Moraxellaceae.g__Acinetobacter.s__.1" 0 0.01 0.08 0.03 +"k__Bacteria.p__Verrucomicrobia.c__.Spartobacteria..o__.Chthoniobacterales..f__.Chthoniobacteraceae..g__DA101.s__.5" 0.01 0.01 0.09 0.02 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.17" 0.17 0.32 0.57 0.04 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Geodermatophilaceae.g__Geodermatophilus.s__" 0 0 0.12 0.05 +"k__Bacteria.p__Verrucomicrobia.c__.Spartobacteria..o__.Chthoniobacterales..f__.Chthoniobacteraceae..g__DA101.s__.6" 0 0.01 0.11 0.02 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Bradyrhizobiaceae.g__Bradyrhizobium.s__.1" 0 0 0.15 0.05 +"k__Bacteria.p__Proteobacteria.c__Deltaproteobacteria.o__Bdellovibrionales.f__Bdellovibrionaceae.g__Bdellovibrio.s__.3" 0 0.01 0.04 0.03 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Caulobacterales.f__Caulobacteraceae.g__Asticcacaulis.s__biprosthecium" 0 0 0.1 0.08 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Rhodocyclales.f__Rhodocyclaceae.g__Thauera.s__" 0 0 0 0.01 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Oxalobacteraceae.g__Cupriavidus.s__" 0 0 0.09 0.07 +"k__Bacteria.p__Acidobacteria.c__Acidobacteriia.o__Acidobacteriales.f__Koribacteraceae.g__Candidatus.Koribacter.s__.5" 0.01 0.03 0.08 0.11 +"k__Bacteria.p__Bacteroidetes.c__.Saprospirae..o__.Saprospirales..f__Chitinophagaceae.g__Flavihumibacter.s__" 0 0 0 0.04 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Micrococcaceae.g__Microbispora.s__rosea" 0 0 0.09 0.02 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Nocardioidaceae.g__Aeromicrobium.s__.1" 0 0.01 0.03 0.05 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Legionellales.f__Coxiellaceae.g__Aquicella.s__.1" 0 0 0.04 0.01 +"k__Bacteria.p__Verrucomicrobia.c__.Spartobacteria..o__.Chthoniobacterales..f__.Chthoniobacteraceae..g__DA101.s__.7" 0 0.01 0.13 0.08 +"k__Bacteria.p__Acidobacteria.c__Acidobacteriia.o__Acidobacteriales.f__Koribacteraceae.g__Candidatus.Koribacter.s__.6" 0 0.01 0.07 0.05 +"k__Bacteria.p__Verrucomicrobia.c__.Spartobacteria..o__.Chthoniobacterales..f__.Chthoniobacteraceae..g__DA101.s__.8" 0 0 0.01 0.05 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__muralis.1" 0 0 0.07 0.05 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Paenibacillaceae.g__Paenibacillus.s__lautus" 0 0 0.2 0.1 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.12" 0 0 0.06 0.11 +"k__Bacteria.p__Verrucomicrobia.c__Verrucomicrobiae.o__Verrucomicrobiales.f__Verrucomicrobiaceae.g__Luteolibacter.s__" 0 0 0.1 0.04 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Methylobacteriaceae.g__Methylobacterium.s__" 0 0.01 0.02 0.02 +"k__Bacteria.p__Bacteroidetes.c__Sphingobacteriia.o__Sphingobacteriales.f__Sphingobacteriaceae.g__Mucilaginibacter.s__kameinonensis" 0 0 0.25 0.06 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.13" 0 0.01 0.15 0.03 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Pedomicrobium.s__.2" 0 0.01 0.06 0.02 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.14" 0.01 0.02 0.09 0.07 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Streptosporangiaceae.g__Streptosporangium.s__pseudovulgare" 0 0 0.24 0.06 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Micromonosporaceae.g__Catellatospora.s__.1" 0 0 0.01 0.05 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Burkholderiaceae.g__Lautropia.s__" 0 0 0.1 0.09 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Oxalobacteraceae.g__Janthinobacterium.s__.1" 0 0 0 0.05 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Pasteurellales.f__Pasteurellaceae.g__Aggregatibacter.s__" 0 0 0.06 0.01 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhodospirillales.f__Rhodospirillaceae.g__Telmatospirillum.s__" 0 0 0.01 0.07 +"k__Bacteria.p__Nitrospirae.c__Nitrospira.o__Nitrospirales.f__Nitrospiraceae.g__Nitrospira.s__.1" 0 0 0.09 0.04 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.18" 0 0 0.02 0.02 +"k__Bacteria.p__Acidobacteria.c__Acidobacteriia.o__Acidobacteriales.f__Koribacteraceae.g__Candidatus.Koribacter.s__.7" 0 0 0 0.12 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.15" 0.03 0.07 0.15 0.04 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Sphingomonas.s__.3" 0 0 0.08 0.04 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.16" 0.33 0.43 0.63 0.55 +"k__Bacteria.p__Bacteroidetes.c__Cytophagia.o__Cytophagales.f__Cytophagaceae.g__Hymenobacter.s__" 0 0.01 0.13 0.09 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.19" 0 0.01 0.11 0.08 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Burkholderiaceae.g__Salinispora.s__" 0 0.01 0.09 0.07 +"k__Bacteria.p__Proteobacteria.c__Deltaproteobacteria.o__Desulfuromonadales.f__Geobacteraceae.g__Geobacter.s__.2" 0 0 0.13 0.07 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Novosphingobium.s__.3" 0 0 0.08 0.11 +"k__Bacteria.p__Bacteroidetes.c__Flavobacteriia.o__Flavobacteriales.f__.Weeksellaceae..g__Chryseobacterium.s__" 0 0 0.05 0.06 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Kaistobacter.s__.2" 0 0 0 0.04 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Burkholderiaceae.g__Salinispora.s__tropica" 0 0 0.07 0.06 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Hyphomicrobium.s__.1" 0 0 0 0.04 +"k__Bacteria.p__Bacteroidetes.c__Cytophagia.o__Cytophagales.f__Cytophagaceae.g__Hymenobacter.s__.1" 0 0.01 0.13 0.05 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Gallionellales.f__Gallionellaceae.g__Gallionella.s__" 0 0.02 0.21 0.06 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Intrasporangiaceae.g__Terracoccus.s__" 0 0 0.01 0.08 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Pseudonocardiaceae.g__Amycolatopsis.s__" 0 0.01 0.11 0.04 +"k__Bacteria.p__Bacteroidetes.c__.Saprospirae..o__.Saprospirales..f__Chitinophagaceae.g__Segetibacter.s__.1" 0 0.01 0.15 0.05 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Microbacteriaceae.g__Microbacterium.s__.1" 0 0.03 0.09 0.06 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Kaistobacter.s__.3" 0.01 0.02 0.06 0.04 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__.3" 0 0 0 0.02 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Sphingomonas.s__.4" 0 0 0 0.04 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Microbacteriaceae.g__Agromyces.s__.1" 0 0.02 0.12 0.03 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.17" 0 0 0.11 0.06 +"k__Bacteria.p__Bacteroidetes.c__.Saprospirae..o__.Saprospirales..f__Chitinophagaceae.g__Flavisolibacter.s__.3" 0 0.01 0.19 0.08 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.20" 0 0.01 0.07 0.02 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__.4" 0.01 0.07 0.25 0.1 +"k__Bacteria.p__Actinobacteria.c__Rubrobacteria.o__Rubrobacterales.f__Rubrobacteraceae.g__Rubrobacter.s__.3" 0 0 0.12 0.06 +"k__Bacteria.p__Armatimonadetes.c__.Fimbriimonadia..o__.Fimbriimonadales..f__.Fimbriimonadaceae..g__Fimbriimonas.s__" 0 0 0.08 0.02 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Rhizobiaceae.g__Agrobacterium.s__" 0 0 0.09 0.02 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Sphingobium.s__.1" 0 0 0.02 0.05 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Sphingomonas.s__.5" 0 0 0.11 0.12 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__.5" 0 0.01 0.1 0.03 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Nocardioidaceae.g__Aeromicrobium.s__.2" 0 0 0.02 0.03 +"k__Bacteria.p__Firmicutes.c__Clostridia.o__Clostridiales.f__Clostridiaceae.g__Clostridium.s__.2" 0 0 0.14 0.06 +"k__Bacteria.p__Bacteroidetes.c__Cytophagia.o__Cytophagales.f__Cytophagaceae.g__Rhodocytophaga.s__" 0 0.01 0.05 0.09 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Streptomycetaceae.g__Streptomyces.s__.3" 0 0 0.13 0.07 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Novosphingobium.s__.4" 0 0.01 0.07 0.05 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Comamonadaceae.g__Limnohabitans.s__" 0 0 0.15 0.06 +"k__Bacteria.p__Bacteroidetes.c__Flavobacteriia.o__Flavobacteriales.f__Flavobacteriaceae.g__Flavobacterium.s__.5" 0 0 0.16 0.05 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Devosia.s__.1" 0.06 0.1 0.48 0.05 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.21" 0 0 0.02 0.08 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__humi" 0.01 0.02 0.18 0.06 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__.6" 0 0.03 0.1 0.04 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Streptosporangiaceae.g__Streptosporangium.s__" 0 0 0.14 0.04 +"k__Bacteria.p__Proteobacteria.c__Deltaproteobacteria.o__Desulfuromonadales.f__Geobacteraceae.g__Geobacter.s__.3" 0 0 0.13 0.05 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Legionellales.f__Legionellaceae.g__Legionella.s__.1" 0 0.01 0.12 0.05 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Caulobacterales.f__Caulobacteraceae.g__Phenylobacterium.s__.2" 0 0 0.01 0.04 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Neisseriales.f__Neisseriaceae.g__Pseudogulbenkiania.s__subflava" 0 0 0.13 0.09 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Streptomycetaceae.g__Streptomyces.s__.4" 0 0 0.13 0.09 +"k__Bacteria.p__Proteobacteria.c__Deltaproteobacteria.o__Bdellovibrionales.f__Bdellovibrionaceae.g__Bdellovibrio.s__.4" 0 0 0.09 0.08 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__.7" 0 0 0.01 0.01 +"k__Bacteria.p__Bacteroidetes.c__Bacteroidia.o__Bacteroidales.f__Porphyromonadaceae.g__Porphyromonas.s__" 0 0 0.25 0.03 +"k__Bacteria.p__Firmicutes.c__Clostridia.o__Clostridiales.f__Clostridiaceae.g__Clostridium.s__.3" 0 0 0.08 0.07 +"k__Bacteria.p__Bacteroidetes.c__Cytophagia.o__Cytophagales.f__Cytophagaceae.g__Dyadobacter.s__.1" 0 0 0.11 0.06 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Mycobacteriaceae.g__Mycobacterium.s__.4" 0 0 0.11 0.04 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Phyllobacteriaceae.g__Mesorhizobium.s__huakuii" 0 0 0.08 0.06 +"k__Bacteria.p__Proteobacteria.c__Deltaproteobacteria.o__Bdellovibrionales.f__Bdellovibrionaceae.g__Bdellovibrio.s__.5" 0 0.02 0.23 0.08 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Sphingobium.s__.2" 0 0.01 0.2 0.03 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Streptomycetaceae.g__Streptomyces.s__.5" 0 0 0.12 0.05 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Streptomycetaceae.g__Streptomyces.s__scabrisporus" 0 0 0.15 0.07 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__flexus" 0 0 0.08 0.04 +"k__Bacteria.p__Bacteroidetes.c__.Saprospirae..o__.Saprospirales..f__Chitinophagaceae.g__Flavisolibacter.s__.4" 0 0 0.01 0.04 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Devosia.s__.2" 0.02 0.03 0.08 0.03 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Streptomycetaceae.g__Kitasatospora.s__" 0.01 0.03 0.32 0.1 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.18" 0 0 0.03 0.06 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.19" 0 0 0.01 0.04 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Comamonadaceae.g__Methylibium.s__.1" 0 0.01 0.27 0.02 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.20" 0 0 0.01 0.03 +"k__Bacteria.p__Bacteroidetes.c__.Saprospirae..o__.Saprospirales..f__Chitinophagaceae.g__Segetibacter.s__.2" 0 0 0 0.04 +"k__Bacteria.p__Bacteroidetes.c__Flavobacteriia.o__Flavobacteriales.f__Flavobacteriaceae.g__Flavobacterium.s__columnare" 0 0.01 0.12 0.03 +"k__Bacteria.p__Firmicutes.c__Clostridia.o__Clostridiales.f__Peptococcaceae.g__Desulfosporosinus.s__meridiei" 0 0 0.14 0.07 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Sphingomonas.s__.6" 0 0 0.08 0.03 +"k__Bacteria.p__Verrucomicrobia.c__.Spartobacteria..o__.Chthoniobacterales..f__.Chthoniobacteraceae..g__Candidatus.Xiphinematobacter.s__" 0.01 0.02 0.34 0.04 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Micromonosporaceae.g__Dactylosporangium.s__" 0 0 0.08 0.01 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Streptomycetaceae.g__Streptomyces.s__aculeolatus" 0 0 0.13 0.05 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Bradyrhizobiaceae.g__Nitrobacter.s__" 0 0 0.07 0.04 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Comamonadaceae.g__Methylibium.s__.2" 0 0 0.08 0.03 +"k__Bacteria.p__Bacteroidetes.c__Flavobacteriia.o__Flavobacteriales.f__Flavobacteriaceae.g__Flavobacterium.s__.6" 0 0 0.12 0.04 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.21" 0 0 0.08 0.04 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__.8" 0 0 0.01 0.02 +"k__Bacteria.p__Proteobacteria.c__Deltaproteobacteria.o__Myxococcales.f__Haliangiaceae.g__Haliangium.s__" 0 0 0.12 0.09 +"k__Bacteria.p__Bacteroidetes.c__.Saprospirae..o__.Saprospirales..f__Chitinophagaceae.g__Segetibacter.s__.3" 0 0 0.12 0.04 +"k__Bacteria.p__Acidobacteria.c__Acidobacteriia.o__Acidobacteriales.f__Koribacteraceae.g__Candidatus.Koribacter.s__.8" 0 0 0 0.01 +"k__Bacteria.p__Verrucomicrobia.c__.Spartobacteria..o__.Chthoniobacterales..f__.Chthoniobacteraceae..g__DA101.s__.9" 0.01 0.01 0.08 0.03 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.22" 0 0 0.1 0.04 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.23" 0 0 0 0.1 +"k__Bacteria.p__Acidobacteria.c__Holophagae.o__Holophagales.f__Holophagaceae.g__Geothrix.s__" 0 0 0.14 0.05 +"k__Bacteria.p__Chloroflexi.c__Chloroflexi.o__Chloroflexales.f__Oscillochloridaceae.g__Oscillochloris.s__" 0 0 0.18 0.05 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__.9" 0 0.01 0.09 0.06 +"k__Bacteria.p__Verrucomicrobia.c__.Spartobacteria..o__.Chthoniobacterales..f__.Chthoniobacteraceae..g__DA101.s__.10" 0 0 0.03 0.04 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Xanthomonadales.f__Sinobacteraceae.g__Steroidobacter.s__.1" 0 0 0.13 0.04 +"k__Bacteria.p__Bacteroidetes.c__.Saprospirae..o__.Saprospirales..f__Chitinophagaceae.g__Niastella.s__" 0 0 0.01 0.07 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhodospirillales.f__Rhodospirillaceae.g__Inquilinus.s__limosus" 0 0.01 0.23 0.02 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__.10" 0 0 0.01 0.03 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Novosphingobium.s__.5" 0 0 0.11 0.05 +"k__Bacteria.p__Verrucomicrobia.c__.Spartobacteria..o__.Chthoniobacterales..f__.Chthoniobacteraceae..g__Candidatus.Xiphinematobacter.s__.1" 0 0 0.03 0.07 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Oxalobacteraceae.g__Cupriavidus.s__gilardii" 0 0 0.04 0.02 +"k__Bacteria.p__Bacteroidetes.c__Flavobacteriia.o__Flavobacteriales.f__Flavobacteriaceae.g__Flavobacterium.s__.7" 0 0 0.1 0.01 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.22" 0 0 0.09 0.04 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Pseudonocardiaceae.g__Pseudonocardia.s__" 0.02 0.02 0.36 0.16 +"k__Bacteria.p__Acidobacteria.c__Acidobacteriia.o__Acidobacteriales.f__Koribacteraceae.g__Candidatus.Koribacter.s__.9" 0.01 0.01 0.16 0.09 +"k__Bacteria.p__Actinobacteria.c__Rubrobacteria.o__Rubrobacterales.f__Rubrobacteraceae.g__Rubrobacter.s__.4" 0 0 0.01 0.03 +"k__Bacteria.p__Bacteroidetes.c__Flavobacteriia.o__Flavobacteriales.f__Flavobacteriaceae.g__Flavobacterium.s__.8" 0 0 0.01 0.01 +"k__Bacteria.p__Verrucomicrobia.c__.Spartobacteria..o__.Chthoniobacterales..f__.Chthoniobacteraceae..g__DA101.s__.11" 0 0 0.08 0.05 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Rhodobiaceae.g__Afifella.s__.1" 0 0.01 0.13 0.04 +"k__Bacteria.p__Bacteroidetes.c__.Saprospirae..o__.Saprospirales..f__Chitinophagaceae.g__Flavisolibacter.s__.5" 0 0.02 0.1 0.04 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Oxalobacteraceae.g__Herminiimonas.s__.1" 0 0 0.12 0.06 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Methylocystaceae.g__Pleomorphomonas.s__" 0 0 0.13 0.04 +"k__Bacteria.p__Bacteroidetes.c__Cytophagia.o__Cytophagales.f__Cytophagaceae.g__Adhaeribacter.s__.2" 0 0 0 0.03 +"k__Bacteria.p__Firmicutes.c__Clostridia.o__Clostridiales.f__Clostridiaceae.g__Clostridium.s__.4" 0 0.01 0.1 0.03 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Bradyrhizobiaceae.g__Balneimonas.s__" 0.01 0 0.18 0.17 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Intrasporangiaceae.g__Phycicoccus.s__" 0 0 0.1 0.03 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Comamonadaceae.g__Leptothrix.s__.1" 0 0 0.02 0.02 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Burkholderiaceae.g__Burkholderia.s__" 0 0.02 0.2 0.06 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.24" 0 0 0.02 0 +"k__Bacteria.p__Bacteroidetes.c__Flavobacteriia.o__Flavobacteriales.f__Flavobacteriaceae.g__Flavobacterium.s__.9" 0 0 0.02 0.09 +"k__Bacteria.p__Actinobacteria.c__Rubrobacteria.o__Rubrobacterales.f__Rubrobacteraceae.g__Rubrobacter.s__.5" 0 0 0.01 0.05 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Phyllobacteriaceae.g__Phyllobacterium.s__" 0 0.01 0.11 0.07 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Rhodocyclales.f__Rhodocyclaceae.g__Rhodocyclus.s__" 0 0.01 0.12 0.03 +"k__Bacteria.p__Bacteroidetes.c__Sphingobacteriia.o__Sphingobacteriales.f__Sphingobacteriaceae.g__Pedobacter.s__" 0 0 0.1 0.06 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__.11" 0 0 0.02 0.03 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Xanthomonadales.f__Xanthomonadaceae.g__Stenotrophomonas.s__retroflexus" 0 0 0.13 0.05 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.23" 0.45 0.68 0.87 0.28 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Nocardioidaceae.g__Nocardioides.s__.1" 0 0 0 0.05 +"k__Bacteria.p__.Thermi..c__Deinococci.o__Deinococcales.f__Deinococcaceae.g__Deinococcus.s__.2" 0 0 0.12 0.04 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhodospirillales.f__Rhodospirillaceae.g__Telmatospirillum.s__siberiense.1" 0 0 0.09 0.07 +"k__Bacteria.p__Bacteroidetes.c__Flavobacteriia.o__Flavobacteriales.f__Flavobacteriaceae.g__Flavobacterium.s__.10" 0 0 0.04 0.07 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Oxalobacteraceae.g__Ralstonia.s__.1" 0 0 0.09 0.04 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Rhizobiaceae.g__Agrobacterium.s__.1" 0 0 0.02 0.03 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Legionellales.f__Coxiellaceae.g__Aquicella.s__.2" 0 0 0.14 0.05 +"k__Bacteria.p__Bacteroidetes.c__Sphingobacteriia.o__Sphingobacteriales.f__Sphingobacteriaceae.g__Mucilaginibacter.s__gracilis" 0 0 0.03 0.05 +"k__Bacteria.p__Proteobacteria.c__Deltaproteobacteria.o__Desulfuromonadales.f__Geobacteraceae.g__Geobacter.s__.4" 0.08 0.1 0.46 0.04 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Micromonosporaceae.g__Catenuloplanes.s__atrovinosus" 0 0.01 0.23 0.07 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Micromonosporaceae.g__Catellatospora.s__.2" 0 0 0.05 0.03 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.25" 0 0 0.14 0.05 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.26" 0.01 0.01 0.12 0.02 +"k__Bacteria.p__Bacteroidetes.c__.Saprospirae..o__.Saprospirales..f__Chitinophagaceae.g__Flavisolibacter.s__.6" 0 0 0.08 0.05 +"k__Bacteria.p__Bacteroidetes.c__Cytophagia.o__Cytophagales.f__Cytophagaceae.g__Sporocytophaga.s__" 0 0 0.14 0.07 +"k__Bacteria.p__Actinobacteria.c__Rubrobacteria.o__Rubrobacterales.f__Rubrobacteraceae.g__Rubrobacter.s__.6" 0 0 0.14 0.08 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.27" 0 0 0.02 0 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__.Exiguobacteraceae..g__Exiguobacterium.s__" 0 0 0.18 0.03 +"k__Bacteria.p__Bacteroidetes.c__Sphingobacteriia.o__Sphingobacteriales.f__Sphingobacteriaceae.g__Pedobacter.s__xinjiangensis" 0 0 0.02 0.02 +"k__Bacteria.p__Bacteroidetes.c__Sphingobacteriia.o__Sphingobacteriales.f__Sphingobacteriaceae.g__Pedobacter.s__.1" 0 0 0.09 0.05 +"k__Bacteria.p__Actinobacteria.c__Rubrobacteria.o__Rubrobacterales.f__Rubrobacteraceae.g__Rubrobacter.s__.7" 0 0 0.23 0.05 +"k__Bacteria.p__Cyanobacteria.c__Nostocophycideae.o__Nostocales.f__Nostocaceae.g__Nostoc.s__" 0 0 0.01 0.03 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Geodermatophilaceae.g__Modestobacter.s__" 0 0 0 0.09 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Comamonadaceae.g__Comamonas.s__" 0 0 0.1 0.03 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Xanthomonadales.f__Sinobacteraceae.g__Steroidobacter.s__.2" 0 0 0.08 0.05 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Planococcaceae.g__Sporosarcina.s__" 0 0 0.09 0.06 +"k__Bacteria.p__Verrucomicrobia.c__.Spartobacteria..o__.Chthoniobacterales..f__.Chthoniobacteraceae..g__DA101.s__.12" 0 0.01 0.12 0.02 +"k__Bacteria.p__Bacteroidetes.c__Cytophagia.o__Cytophagales.f__Cytophagaceae.g__Adhaeribacter.s__.3" 0 0 0.13 0.05 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Alteromonadales.f__Alteromonadaceae.g__Cellvibrio.s__" 0 0 0.1 0.04 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Oxalobacteraceae.g__Massilia.s__aerolata" 0 0 0 0.05 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Burkholderiaceae.g__Burkholderia.s__.1" 0 0 0 0.04 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Legionellales.f__Coxiellaceae.g__Aquicella.s__.3" 0 0.01 0.22 0.09 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Pseudonocardiaceae.g__Actinomycetospora.s__" 0 0 0 0.01 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Pseudomonadales.f__Pseudomonadaceae.g__Pseudomonas.s__" 0 0 0.22 0.05 +"k__Bacteria.p__Bacteroidetes.c__Flavobacteriia.o__Flavobacteriales.f__.Weeksellaceae..g__Chryseobacterium.s__.1" 0 0 0.12 0.07 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.28" 0 0.02 0.16 0.13 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Novosphingobium.s__.6" 0 0 0.11 0.05 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Rhodobiaceae.g__Afifella.s__.2" 0 0 0.13 0.04 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Burkholderiaceae.g__Burkholderia.s__.2" 0 0 0.04 0.04 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Nocardioidaceae.g__Nocardioides.s__.2" 0 0 0.06 0.04 +"k__Bacteria.p__Verrucomicrobia.c__.Spartobacteria..o__.Chthoniobacterales..f__.Chthoniobacteraceae..g__Chthoniobacter.s__" 0 0 0.18 0.05 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Methylococcales.f__Crenotrichaceae.g__Crenothrix.s__" 0 0.02 0.25 0.04 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.29" 0 0 0.05 0.06 +"k__Bacteria.p__Bacteroidetes.c__Flavobacteriia.o__Flavobacteriales.f__Flavobacteriaceae.g__Flavobacterium.s__.11" 0 0 0.01 0.05 +"k__Bacteria.p__Firmicutes.c__Clostridia.o__Clostridiales.f__Clostridiaceae.g__Clostridium.s__.5" 0 0 0 0.08 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Comamonadaceae.g__Polaromonas.s__.1" 0 0 0.08 0.04 +"k__Bacteria.p__Bacteroidetes.c__.Saprospirae..o__.Saprospirales..f__Chitinophagaceae.g__Flavisolibacter.s__.7" 0 0 0.02 0.03 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Comamonadaceae.g__Polaromonas.s__.2" 0 0 0.12 0.04 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.30" 0 0 0.09 0.04 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.24" 0 0 0.11 0.06 +"k__Bacteria.p__Gemmatimonadetes.c__Gemmatimonadetes.o__Gemmatimonadales.f__Gemmatimonadaceae.g__Gemmatimonas.s__.1" 0 0.01 0.25 0.05 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Kaistobacter.s__.4" 0 0 0.06 0.03 +"k__Bacteria.p__Verrucomicrobia.c__.Spartobacteria..o__.Chthoniobacterales..f__.Chthoniobacteraceae..g__DA101.s__.13" 0 0 0.11 0.05 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Legionellales.f__Coxiellaceae.g__Aquicella.s__.4" 0 0 0.08 0.07 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.31" 0 0 0.02 0.02 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Paenibacillaceae.g__Paenibacillus.s__.4" 0 0 0.04 0.07 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Oxalobacteraceae.g__Ralstonia.s__.2" 0 0 0.12 0.08 +"k__Bacteria.p__Bacteroidetes.c__Flavobacteriia.o__Flavobacteriales.f__Flavobacteriaceae.g__Flavobacterium.s__.12" 0 0 0.25 0.03 +"k__Bacteria.p__Bacteroidetes.c__.Saprospirae..o__.Saprospirales..f__Chitinophagaceae.g__Segetibacter.s__.4" 0 0 0.03 0.08 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Propionibacteriaceae.g__Microlunatus.s__" 0 0 0.02 0.08 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Actinosynnemataceae.g__Kibdelosporangium.s__" 0 0 0.01 0.08 +"k__Bacteria.p__Actinobacteria.c__Rubrobacteria.o__Rubrobacterales.f__Rubrobacteraceae.g__Rubrobacter.s__.8" 0 0 0.06 0.03 +"k__Bacteria.p__Actinobacteria.c__Rubrobacteria.o__Rubrobacterales.f__Rubrobacteraceae.g__Rubrobacter.s__.9" 0 0 0.12 0.03 +"k__Bacteria.p__Bacteroidetes.c__.Saprospirae..o__.Saprospirales..f__Chitinophagaceae.g__Segetibacter.s__.5" 0 0 0 0.04 +"k__Bacteria.p__Verrucomicrobia.c__.Spartobacteria..o__.Chthoniobacterales..f__.Chthoniobacteraceae..g__DA101.s__.14" 0 0 0.1 0.04 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Paenibacillaceae.g__Paenibacillus.s__.5" 0 0 0.11 0.04 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Rhizobiaceae.g__Agrobacterium.s__.2" 0 0.01 0.03 0.03 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Oxalobacteraceae.g__Cupriavidus.s__.1" 0 0 0.06 0.04 +"k__Bacteria.p__Bacteroidetes.c__Flavobacteriia.o__Flavobacteriales.f__Flavobacteriaceae.g__Capnocytophaga.s__" 0 0 0.12 0.04 +"k__Bacteria.p__Bacteroidetes.c__Flavobacteriia.o__Flavobacteriales.f__Flavobacteriaceae.g__Capnocytophaga.s__.1" 0 0 0.16 0.05 +"k__Bacteria.p__Bacteroidetes.c__Cytophagia.o__Cytophagales.f__Cytophagaceae.g__Hymenobacter.s__.2" 0 0 0.13 0.05 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__.12" 0 0.01 0.06 0.02 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Paenibacillaceae.g__Paenibacillus.s__.6" 0 0 0.02 0.07 +"k__Bacteria.p__Acidobacteria.c__Acidobacteriia.o__Acidobacteriales.f__Koribacteraceae.g__Candidatus.Koribacter.s__.10" 0 0 0.25 0.04 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.25" 0 0 0.17 0.05 +"k__Bacteria.p__Verrucomicrobia.c__.Spartobacteria..o__.Chthoniobacterales..f__.Chthoniobacteraceae..g__DA101.s__.15" 0 0 0.07 0.01 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Beutenbergiaceae.g__Beutenbergia.s__cavernae" 0 0 0.14 0.09 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Burkholderiaceae.g__Burkholderia.s__andropogonis" 0.07 0.16 0.48 0.11 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Microbacteriaceae.g__Microbacterium.s__.2" 0 0.02 0.15 0.06 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Caulobacterales.f__Caulobacteraceae.g__Phenylobacterium.s__.3" 0 0.01 0.12 0.02 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Enterobacteriales.f__Enterobacteriaceae.g__Erwinia.s__" 0 0.01 0.14 0.04 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Mycobacteriaceae.g__Mycobacterium.s__.5" 0 0.01 0.16 0.06 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__.13" 0 0 0.03 0.04 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Mycobacteriaceae.g__Mycobacterium.s__.6" 0 0 0 0.06 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__.14" 0 0.01 0.05 0.05 +"k__Bacteria.p__Firmicutes.c__Clostridia.o__Clostridiales.f__Clostridiaceae.g__Clostridium.s__.6" 0 0.01 0.12 0.03 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Nocardioidaceae.g__Kribbella.s__" 0 0.02 0.12 0.05 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Planococcaceae.g__Planomicrobium.s__" 0 0 0.22 0.05 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Sphingomonas.s__.7" 0 0 0.08 0.01 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Streptomycetaceae.g__Streptomyces.s__.6" 0 0.01 0.08 0.08 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhodobacterales.f__Rhodobacteraceae.g__Rubellimicrobium.s__.2" 0.06 0.09 0.34 0.11 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Methylobacteriaceae.g__Methylobacterium.s__adhaesivum" 0 0 0.15 0.01 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Caulobacterales.f__Caulobacteraceae.g__Caulobacter.s__" 0 0 0.04 0.07 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Caulobacterales.f__Caulobacteraceae.g__Phenylobacterium.s__.4" 0 0 0.01 0.03 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.26" 0 0.04 0.37 0.06 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Sphingobium.s__.3" 0 0 0.1 0.04 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Comamonadaceae.g__Hydrogenophaga.s__" 0 0 0.13 0.03 +"k__Bacteria.p__Proteobacteria.c__Deltaproteobacteria.o__Desulfuromonadales.f__Geobacteraceae.g__Geobacter.s__.5" 0 0 0.03 0.06 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Pseudomonadales.f__Pseudomonadaceae.g__Pseudomonas.s__.1" 0 0.01 0.19 0.07 +"k__Bacteria.p__Proteobacteria.c__Deltaproteobacteria.o__Desulfuromonadales.f__Geobacteraceae.g__Geobacter.s__.6" 0 0 0.15 0.05 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Caulobacterales.f__Caulobacteraceae.g__Phenylobacterium.s__.5" 0 0 0.01 0.04 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Comamonadaceae.g__Rhodoferax.s__" 0.01 0.02 0.27 0.07 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Nocardioidaceae.g__Nocardioides.s__.3" 0 0 0.14 0.06 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Planococcaceae.g__Planomicrobium.s__.1" 0 0 0.1 0.04 +"k__Bacteria.p__Actinobacteria.c__Rubrobacteria.o__Rubrobacterales.f__Rubrobacteraceae.g__Rubrobacter.s__.10" 0.04 0.08 0.6 0.48 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Pseudonocardiaceae.g__Pseudonocardia.s__.1" 0 0 0.09 0.04 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Comamonadaceae.g__Ramlibacter.s__" 0 0 0.01 0.01 +"k__Bacteria.p__Verrucomicrobia.c__.Spartobacteria..o__.Chthoniobacterales..f__.Chthoniobacteraceae..g__DA101.s__.16" 0 0 0.12 0.03 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.27" 0 0 0.1 0.03 +"k__Bacteria.p__Bacteroidetes.c__Cytophagia.o__Cytophagales.f__Cytophagaceae.g__Hymenobacter.s__.3" 0 0 0.08 0.06 +"k__Bacteria.p__Verrucomicrobia.c__.Spartobacteria..o__.Chthoniobacterales..f__.Chthoniobacteraceae..g__DA101.s__.17" 0 0 0.03 0.01 +"k__Bacteria.p__Acidobacteria.c__Acidobacteriia.o__Acidobacteriales.f__Acidobacteriaceae.g__Terriglobus.s__" 0 0 0.05 0.06 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Geodermatophilaceae.g__Geodermatophilus.s__obscurus" 0 0.01 0.05 0.11 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Streptomycetaceae.g__Streptomyces.s__.7" 0 0 0 0.01 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Streptomycetaceae.g__Streptomyces.s__.8" 0 0 0 0.01 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Planococcaceae.g__Solibacillus.s__" 0 0 0.13 0.06 +"k__Bacteria.p__Firmicutes.c__Clostridia.o__Clostridiales.f__Clostridiaceae.g__Clostridium.s__.7" 0 0 0.08 0.07 +"k__Bacteria.p__Nitrospirae.c__Nitrospira.o__Nitrospirales.f__Nitrospiraceae.g__Nitrospira.s__.2" 0 0 0.2 0.03 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.32" 0 0 0.18 0.18 +"k__Bacteria.p__Actinobacteria.c__Rubrobacteria.o__Rubrobacterales.f__Rubrobacteraceae.g__Rubrobacter.s__.11" 0.02 0.02 0.4 0.02 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Mycobacteriaceae.g__Mycobacterium.s__celatum" 0.01 0.02 0.26 0.22 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Xanthomonadales.f__Xanthomonadaceae.g__Thermomonas.s__" 0 0 0.11 0.03 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Sphingomonas.s__.8" 0 0 0.11 0.03 +"k__Bacteria.p__Bacteroidetes.c__Cytophagia.o__Cytophagales.f__Cytophagaceae.g__Hymenobacter.s__.4" 0 0 0.02 0.03 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Xanthomonadales.f__Xanthomonadaceae.g__Arenimonas.s__" 0 0 0.12 0.02 +"k__Bacteria.p__Bacteroidetes.c__Flavobacteriia.o__Flavobacteriales.f__Flavobacteriaceae.g__Flavobacterium.s__.13" 0 0 0.14 0.08 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.28" 0.16 0.31 0.56 0.08 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.29" 0 0 0.03 0.14 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__.15" 0 0 0.06 0.06 +"k__Bacteria.p__Proteobacteria.c__Deltaproteobacteria.o__Bdellovibrionales.f__Bdellovibrionaceae.g__Bdellovibrio.s__.6" 0 0 0 0.04 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.33" 0 0.01 0.13 0.05 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Comamonadaceae.g__Variovorax.s__" 0 0 0.14 0.06 +"k__Bacteria.p__Bacteroidetes.c__.Saprospirae..o__.Saprospirales..f__Chitinophagaceae.g__Segetibacter.s__.6" 0 0 0 0.07 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Burkholderiaceae.g__Burkholderia.s__.3" 0 0 0.12 0.03 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Pseudomonadales.f__Pseudomonadaceae.g__Pseudomonas.s__.2" 0 0 0.19 0.04 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Rhodobiaceae.g__Afifella.s__.3" 0 0 0.11 0.03 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__mycoides" 0 0 0.03 0.04 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Pseudomonadales.f__Moraxellaceae.g__Acinetobacter.s__.2" 0.07 0.08 0.46 0.05 +"k__Bacteria.p__Bacteroidetes.c__.Saprospirae..o__.Saprospirales..f__Chitinophagaceae.g__Flavisolibacter.s__.8" 0 0 0.05 0.04 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.30" 0.13 0.19 0.7 0.13 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Devosia.s__.3" 0 0 0.08 0.03 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Mycobacteriaceae.g__Mycobacterium.s__.7" 0 0 0.06 0.02 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Sphingomonas.s__wittichii.1" 0 0.01 0.12 0.06 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhodobacterales.f__Rhodobacteraceae.g__Loktanella.s__" 0 0.01 0.23 0.03 +"k__Bacteria.p__Firmicutes.c__Clostridia.o__Clostridiales.f__Veillonellaceae.g__Pelosinus.s__.1" 0 0 0.04 0.05 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Phyllobacteriaceae.g__Mesorhizobium.s__" 0 0 0 0.02 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Paenibacillaceae.g__Brevibacillus.s__" 0 0.07 0.35 0.07 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Planococcaceae.g__Solibacillus.s__.1" 0 0 0.11 0.12 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Streptomycetaceae.g__Streptomyces.s__.9" 0 0 0.04 0.07 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.34" 0 0 0 0.06 +"k__Bacteria.p__Verrucomicrobia.c__.Spartobacteria..o__.Chthoniobacterales..f__.Chthoniobacteraceae..g__DA101.s__.18" 0 0.01 0.19 0.08 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.31" 0.02 0.01 0.05 0.14 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.32" 0 0.02 0.22 0.04 +"k__Bacteria.p__Actinobacteria.c__Acidimicrobiia.o__Acidimicrobiales.f__Iamiaceae.g__Iamia.s__.1" 0 0 0.07 0.05 +"k__Bacteria.p__Proteobacteria.c__Deltaproteobacteria.o__Bdellovibrionales.f__Bdellovibrionaceae.g__Bdellovibrio.s__.7" 0 0 0.1 0.03 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Neisseriales.f__Neisseriaceae.g__Aquaspirillum.s__putridiconchylium" 0 0 0.11 0.04 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Rhodocyclales.f__Rhodocyclaceae.g__Uliginosibacterium.s__" 0 0 0.06 0.06 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Mycobacteriaceae.g__Mycobacterium.s__.8" 0 0 0 0.04 +"k__Bacteria.p__Verrucomicrobia.c__.Spartobacteria..o__.Chthoniobacterales..f__.Chthoniobacteraceae..g__DA101.s__.19" 0 0 0.05 0.06 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Phyllobacteriaceae.g__Mesorhizobium.s__.1" 0 0 0.09 0.01 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Paenibacillaceae.g__Brevibacillus.s__reuszeri" 0 0 0.09 0.02 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Rhodocyclales.f__Rhodocyclaceae.g__Azoarcus.s__" 0 0 0.06 0.08 +"k__Bacteria.p__Acidobacteria.c__Acidobacteriia.o__Acidobacteriales.f__Acidobacteriaceae.g__Granulicella.s__paludicola" 0 0 0.15 0.02 +"k__Bacteria.p__Actinobacteria.c__Thermoleophilia.o__Solirubrobacterales.f__Conexibacteraceae.g__Conexibacter.s__" 0 0 0.03 0.02 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Methylococcales.f__Crenotrichaceae.g__Crenothrix.s__.1" 0 0 0.04 0.06 +"k__Bacteria.p__Verrucomicrobia.c__.Spartobacteria..o__.Chthoniobacterales..f__.Chthoniobacteraceae..g__DA101.s__.20" 0 0 0.03 0.04 +"k__Bacteria.p__Bacteroidetes.c__Flavobacteriia.o__Flavobacteriales.f__Flavobacteriaceae.g__Flavobacterium.s__succinicans" 0 0.01 0.13 0.04 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Hyphomicrobium.s__.2" 0 0 0.13 0.06 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Planococcaceae.g__Planomicrobium.s__.2" 0 0 0.21 0.05 +"k__Bacteria.p__Bacteroidetes.c__Cytophagia.o__Cytophagales.f__Cytophagaceae.g__Rhodocytophaga.s__.1" 0 0 0.01 0.03 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Planococcaceae.g__Planomicrobium.s__.3" 0 0 0.1 0.06 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Streptosporangiaceae.g__Streptosporangium.s__.1" 0 0.01 0.08 0.06 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Novosphingobium.s__.7" 0 0 0.22 0.02 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Xanthomonadales.f__Sinobacteraceae.g__Nevskia.s__" 0 0 0.08 0.06 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.35" 0 0 0.01 0.06 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Gallionellales.f__Gallionellaceae.g__Gallionella.s__.1" 0.06 0.05 0.47 0.09 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Streptomycetaceae.g__Streptomyces.s__mirabilis" 0 0 0.01 0.07 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Xanthomonadales.f__Xanthomonadaceae.g__Dokdonella.s__.1" 0 0 0.16 0.06 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhodospirillales.f__Rhodospirillaceae.g__Azospirillum.s__" 0 0 0.11 0.02 +"k__Bacteria.p__Cyanobacteria.c__Synechococcophycideae.o__Pseudanabaenales.f__Pseudanabaenaceae.g__Leptolyngbya.s__" 0 0 0.11 0.04 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Rhizobiaceae.g__Agrobacterium.s__.3" 0 0 0.02 0.05 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Comamonadaceae.g__Xenophilus.s__aerolatus" 0 0.01 0.28 0.08 +"k__Bacteria.p__Cyanobacteria.c__Nostocophycideae.o__Nostocales.f__Nostocaceae.g__Nostoc.s__.1" 0 0 0.12 0.07 +"k__Bacteria.p__Bacteroidetes.c__.Saprospirae..o__.Saprospirales..f__Chitinophagaceae.g__Flavisolibacter.s__.9" 0.08 0.12 0.52 0.24 +"k__Bacteria.p__Bacteroidetes.c__.Saprospirae..o__.Saprospirales..f__Chitinophagaceae.g__Sediminibacterium.s__.1" 0.01 0.03 0.32 0.08 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Burkholderiaceae.g__Burkholderia.s__.4" 0 0 0.06 0.05 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Comamonadaceae.g__Hydrogenophaga.s__.1" 0 0 0.11 0.07 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Xanthomonadales.f__Sinobacteraceae.g__Steroidobacter.s__.3" 0 0 0.13 0.06 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Micromonosporaceae.g__Virgisporangium.s__ochraceum" 0 0 0 0.02 +"k__Bacteria.p__Bacteroidetes.c__.Saprospirae..o__.Saprospirales..f__Chitinophagaceae.g__Segetibacter.s__.7" 0 0 0.01 0.01 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Kaistobacter.s__.5" 0 0 0.08 0.05 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Rhizobiaceae.g__Agrobacterium.s__.4" 0 0 0.03 0.04 +"k__Bacteria.p__Verrucomicrobia.c__.Spartobacteria..o__.Chthoniobacterales..f__.Chthoniobacteraceae..g__DA101.s__.21" 0.01 0.03 0.06 0.05 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.36" 0.01 0.01 0.37 0.05 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Rhizobiaceae.g__Agrobacterium.s__.5" 0 0 0.02 0.02 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Rhodocyclales.f__Rhodocyclaceae.g__Thauera.s__.1" 0 0 0.18 0.03 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Pedomicrobium.s__.3" 0 0 0.07 0.04 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Cellulomonadaceae.g__Cellulomonas.s__" 0 0 0.04 0.05 +"k__Bacteria.p__Actinobacteria.c__Rubrobacteria.o__Rubrobacterales.f__Rubrobacteraceae.g__Rubrobacter.s__.12" 0 0 0.03 0.01 +"k__Bacteria.p__Nitrospirae.c__Nitrospira.o__Nitrospirales.f__Nitrospiraceae.g__Nitrospira.s__.3" 0 0 0.12 0.02 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Oxalobacteraceae.g__Janthinobacterium.s__.2" 0 0 0.03 0.04 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__selenatarsenatis" 0 0 0.03 0.04 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__.16" 0 0.01 0.1 0.06 +"k__Bacteria.p__Firmicutes.c__Clostridia.o__Clostridiales.f__Veillonellaceae.g__Pelosinus.s__.2" 0 0 0.11 0.06 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Streptomycetaceae.g__Streptomyces.s__.10" 0 0.01 0.15 0.05 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Pseudonocardiaceae.g__Pseudonocardia.s__halophobica" 0 0 0.2 0.03 +"k__Bacteria.p__Proteobacteria.c__Deltaproteobacteria.o__Desulfuromonadales.f__Geobacteraceae.g__Geobacter.s__.7" 0 0 0.01 0.02 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Micrococcaceae.g__Arthrobacter.s__sulfureus" 0 0 0.09 0.05 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__.17" 0 0 0.12 0.03 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Sphingomonas.s__.9" 0 0 0.11 0.09 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Rhodobiaceae.g__Afifella.s__.4" 0 0 0.16 0.05 +"k__Bacteria.p__Proteobacteria.c__Deltaproteobacteria.o__Syntrophobacterales.f__Syntrophaceae.g__Syntrophus.s__" 0.01 0.01 0.27 0.1 +"k__Bacteria.p__Bacteroidetes.c__Sphingobacteriia.o__Sphingobacteriales.f__Sphingobacteriaceae.g__Pedobacter.s__cryoconitis" 0 0.03 0.31 0.04 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Nocardioidaceae.g__Nocardioides.s__.4" 0 0 0.1 0.06 +"k__Bacteria.p__Firmicutes.c__Clostridia.o__Clostridiales.f__Lachnospiraceae.g__Blautia.s__" 0 0 0.1 0.02 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Streptosporangiaceae.g__Streptosporangium.s__.2" 0 0 0.15 0.04 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Comamonadaceae.g__Variovorax.s__paradoxus.1" 0 0 0.3 0.04 +"k__Bacteria.p__Bacteroidetes.c__Cytophagia.o__Cytophagales.f__Cytophagaceae.g__Rhodocytophaga.s__.2" 0 0 0.17 0.06 +"k__Bacteria.p__Actinobacteria.c__Rubrobacteria.o__Rubrobacterales.f__Rubrobacteraceae.g__Rubrobacter.s__.13" 0 0 0.16 0.01 +"k__Bacteria.p__Bacteroidetes.c__.Saprospirae..o__.Saprospirales..f__Chitinophagaceae.g__Flavisolibacter.s__.10" 0 0.01 0.03 0.07 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.33" 0.01 0.07 0.38 0.07 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Paenibacillaceae.g__Ammoniphilus.s__" 0 0.05 0.35 0.1 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__.18" 0 0 0.12 0.07 +"k__Bacteria.p__Bacteroidetes.c__.Saprospirae..o__.Saprospirales..f__Chitinophagaceae.g__Flavisolibacter.s__.11" 0 0.01 0.1 0.04 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Rhodocyclales.f__Rhodocyclaceae.g__Azoarcus.s__.1" 0 0 0.1 0.02 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Methylobacteriaceae.g__Methylobacterium.s__.1" 0 0.01 0.07 0.02 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.34" 0.01 0.04 0.09 0.04 +"k__Bacteria.p__Verrucomicrobia.c__.Spartobacteria..o__.Chthoniobacterales..f__.Chthoniobacteraceae..g__Candidatus.Xiphinematobacter.s__.2" 0.1 0.16 0.5 0.06 +"k__Bacteria.p__Bacteroidetes.c__Flavobacteriia.o__Flavobacteriales.f__Flavobacteriaceae.g__Flavobacterium.s__.14" 0 0 0.12 0.03 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Mycobacteriaceae.g__Mycobacterium.s__.9" 0 0 0.07 0.07 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__muralis.2" 0 0.01 0.25 0.07 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Burkholderiaceae.g__Burkholderia.s__.5" 0 0 0.14 0.07 +"k__Bacteria.p__Bacteroidetes.c__Flavobacteriia.o__Flavobacteriales.f__Flavobacteriaceae.g__Flavobacterium.s__.15" 0 0 0.13 0.08 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Nocardioidaceae.g__Kribbella.s__.1" 0 0 0.12 0 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__foraminis.1" 0 0 0.13 0.07 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Sphingomonas.s__.10" 0 0 0.13 0.06 +"k__Bacteria.p__Proteobacteria.c__Deltaproteobacteria.o__Bdellovibrionales.f__Bdellovibrionaceae.g__Bdellovibrio.s__.8" 0 0 0.1 0.04 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Streptosporangiaceae.g__Nonomuraea.s__" 0 0 0.22 0 +"k__Bacteria.p__Verrucomicrobia.c__.Spartobacteria..o__.Chthoniobacterales..f__.Chthoniobacteraceae..g__DA101.s__.22" 0 0 0.06 0.05 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Burkholderiaceae.g__Burkholderia.s__.6" 0 0 0.12 0.02 +"k__Bacteria.p__Verrucomicrobia.c__.Spartobacteria..o__.Chthoniobacterales..f__.Chthoniobacteraceae..g__DA101.s__.23" 0 0 0.06 0.04 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Sphingomonas.s__wittichii.2" 0 0 0.01 0.04 +"k__Bacteria.p__Proteobacteria.c__Deltaproteobacteria.o__Myxococcales.f__Polyangiaceae.g__Sorangium.s__cellulosum" 0 0.04 0.35 0.1 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Caulobacterales.f__Caulobacteraceae.g__Arthrospira.s__" 0 0 0.04 0.04 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__selenatarsenatis.1" 0 0.02 0.03 0.05 +"k__Bacteria.p__Bacteroidetes.c__Cytophagia.o__Cytophagales.f__Cytophagaceae.g__Rhodocytophaga.s__.3" 0 0 0.1 0.02 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Paenibacillaceae.g__Ammoniphilus.s__.1" 0 0 0 0.04 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.37" 0 0 0.07 0.06 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Rhizobiaceae.g__Agrobacterium.s__.6" 0 0 0.14 0.05 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Burkholderiaceae.g__Burkholderia.s__.7" 0 0 0 0.04 +"k__Bacteria.p__Bacteroidetes.c__Flavobacteriia.o__Flavobacteriales.f__Flavobacteriaceae.g__Flavobacterium.s__.16" 0 0 0.13 0.08 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Caulobacterales.f__Caulobacteraceae.g__Arthrospira.s__.1" 0 0 0.05 0.03 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Lactobacillales.f__Enterococcaceae.g__Enterococcus.s__" 0 0.01 0.2 0.06 +"k__Bacteria.p__Bacteroidetes.c__Flavobacteriia.o__Flavobacteriales.f__Flavobacteriaceae.g__Flavobacterium.s__.17" 0 0 0.2 0.05 +"k__Bacteria.p__Verrucomicrobia.c__.Spartobacteria..o__.Chthoniobacterales..f__.Chthoniobacteraceae..g__DA101.s__.24" 0 0 0.08 0.06 +"k__Bacteria.p__Bacteroidetes.c__Flavobacteriia.o__Flavobacteriales.f__Flavobacteriaceae.g__Flavobacterium.s__.18" 0 0 0.09 0.04 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Methylocystaceae.g__Methylosinus.s__.1" 0 0 0.16 0.03 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Xanthomonadales.f__Sinobacteraceae.g__Steroidobacter.s__.4" 0 0 0 0.05 +"k__Bacteria.p__Verrucomicrobia.c__.Spartobacteria..o__.Chthoniobacterales..f__.Chthoniobacteraceae..g__DA101.s__.25" 0 0 0.01 0.05 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Kaistobacter.s__.6" 0 0 0.06 0.05 +"k__Bacteria.p__Acidobacteria.c__Acidobacteriia.o__Acidobacteriales.f__Koribacteraceae.g__Candidatus.Koribacter.s__.11" 0.15 0.29 0.52 0.2 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.38" 0 0 0.06 0.01 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Comamonadaceae.g__Rubrivivax.s__.1" 0 0 0.05 0.05 +"k__Bacteria.p__Bacteroidetes.c__Cytophagia.o__Cytophagales.f__Cytophagaceae.g__Hymenobacter.s__.5" 0 0 0.01 0.05 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__.19" 0 0.01 0.21 0.03 +"k__Bacteria.p__Proteobacteria.c__Deltaproteobacteria.o__Myxococcales.f__Myxococcaceae.g__Anaeromyxobacter.s__.1" 0 0 0.07 0.08 +"k__Bacteria.p__Bacteroidetes.c__.Saprospirae..o__.Saprospirales..f__Chitinophagaceae.g__Flavisolibacter.s__.12" 0.05 0.06 0.2 0.1 +"k__Bacteria.p__Bacteroidetes.c__Flavobacteriia.o__Flavobacteriales.f__Flavobacteriaceae.g__Flavobacterium.s__.19" 0 0 0.11 0.06 +"k__Bacteria.p__Verrucomicrobia.c__Opitutae.o__Opitutales.f__Opitutaceae.g__Opitutus.s__.1" 0 0 0.28 0.06 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Bradyrhizobiaceae.g__Bradyrhizobium.s__.2" 0.01 0.03 0.08 0.13 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.35" 0.15 0.18 0.45 0.25 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.39" 0 0 0.04 0.08 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Lactobacillales.f__Streptococcaceae.g__Streptococcus.s__.2" 0 0 0.1 0.05 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.36" 0 0 0.17 0.23 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Sphingomonas.s__.11" 0 0.01 0.14 0.04 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Pasteurellales.f__Pasteurellaceae.g__Aggregatibacter.s__.1" 0 0 0.08 0.05 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Alicyclobacillaceae.g__Alicyclobacillus.s__" 0 0 0.13 0.06 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.40" 0.05 0.06 0.33 0.22 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Micrococcaceae.g__Arthrobacter.s__" 0.01 0.01 0.1 0.32 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.41" 0.02 0.06 0.16 0.08 +"k__Bacteria.p__Verrucomicrobia.c__.Spartobacteria..o__.Chthoniobacterales..f__.Chthoniobacteraceae..g__OR.59.s__" 0 0 0.05 0.04 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.42" 0 0 0.01 0.07 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Devosia.s__.4" 0 0 0.1 0.02 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.43" 0 0 0.01 0.05 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Micrococcaceae.g__Arthrobacter.s__.1" 0 0 0.02 0.06 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Thermomonosporaceae.g__Actinoallomurus.s__iriomotensis" 0 0 0.03 0.02 +"k__Bacteria.p__Chloroflexi.c__Chloroflexi.o__.Roseiflexales..f__.Kouleothrixaceae..g__Kouleothrix.s__" 0 0.03 0.33 0.02 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Rhodocyclales.f__Rhodocyclaceae.g__Zoogloea.s__" 0 0 0.15 0.09 +"k__Bacteria.p__Verrucomicrobia.c__.Spartobacteria..o__.Chthoniobacterales..f__.Chthoniobacteraceae..g__DA101.s__.26" 0 0 0.05 0.06 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Xanthomonadales.f__Sinobacteraceae.g__Steroidobacter.s__.5" 0 0 0.01 0.03 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Rhodocyclales.f__Rhodocyclaceae.g__KD1.23.s__" 0 0 0.13 0.06 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Comamonadaceae.g__Methylibium.s__.3" 0 0 0.01 0.02 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__flexus.1" 0 0.01 0.1 0.04 +"k__Bacteria.p__Proteobacteria.c__Deltaproteobacteria.o__Desulfuromonadales.f__Geobacteraceae.g__Geobacter.s__.8" 0 0 0.04 0.06 +"k__Bacteria.p__Verrucomicrobia.c__.Spartobacteria..o__.Chthoniobacterales..f__.Chthoniobacteraceae..g__DA101.s__.27" 0 0 0.15 0.02 +"k__Bacteria.p__Cyanobacteria.c__Nostocophycideae.o__Nostocales.f__Nostocaceae.g__Nostoc.s__punctiforme" 0 0 0.12 0.06 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Sphingomonas.s__wittichii.3" 0 0 0.09 0.02 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Devosia.s__.5" 0.01 0.07 0.2 0.03 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhodobacterales.f__Rhodobacteraceae.g__Paracoccus.s__" 0 0 0.12 0.03 +"k__Bacteria.p__Acidobacteria.c__Acidobacteriia.o__Acidobacteriales.f__Koribacteraceae.g__Candidatus.Koribacter.s__.12" 0.15 0.28 0.71 0.2 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Comamonadaceae.g__Leptothrix.s__.2" 0 0 0.02 0.05 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Burkholderiaceae.g__Salinispora.s__tropica.1" 0 0 0.14 0.07 +"k__Bacteria.p__Bacteroidetes.c__Cytophagia.o__Cytophagales.f__Cytophagaceae.g__Spirosoma.s__" 0 0 0.06 0.07 +"k__Bacteria.p__Cyanobacteria.c__Oscillatoriophycideae.o__Oscillatoriales.f__Phormidiaceae.g__Phormidium.s__" 0 0.02 0.24 0.04 +"k__Bacteria.p__Bacteroidetes.c__.Saprospirae..o__.Saprospirales..f__Chitinophagaceae.g__Segetibacter.s__.8" 0 0 0.02 0.14 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Burkholderiaceae.g__Salinispora.s__tropica.2" 0.02 0.09 0.41 0.12 +"k__Bacteria.p__Armatimonadetes.c__.Fimbriimonadia..o__.Fimbriimonadales..f__.Fimbriimonadaceae..g__Fimbriimonas.s__.1" 0 0 0.11 0.06 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Kaistobacter.s__.7" 0 0.02 0.02 0.05 +"k__Bacteria.p__Cyanobacteria.c__Nostocophycideae.o__Nostocales.f__Nostocaceae.g__Nostoc.s__spongiaeforme.AKM13" 0 0 0.07 0.06 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Mycobacteriaceae.g__Mycobacterium.s__.10" 0.01 0.01 0.14 0.03 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Rhodocyclales.f__Rhodocyclaceae.g__Propionivibrio.s__" 0 0 0.03 0.07 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Streptomycetaceae.g__Streptomyces.s__.11" 0 0 0.14 0.06 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Pseudonocardiaceae.g__Amycolatopsis.s__.1" 0 0 0.03 0.03 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Sphingobium.s__.4" 0 0 0.03 0.01 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhodospirillales.f__Acetobacteraceae.g__Acidocella.s__" 0 0.03 0.25 0.1 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Neisseriales.f__Neisseriaceae.g__Deefgea.s__" 0 0.01 0.17 0.05 +"k__Bacteria.p__Firmicutes.c__Clostridia.o__Clostridiales.f__Clostridiaceae.g__Clostridium.s__.8" 0 0 0.03 0.04 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Devosia.s__.6" 0 0 0.28 0.02 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Streptomycetaceae.g__Streptomyces.s__.12" 0 0 0.12 0.01 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.37" 0 0 0 0.03 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Kaistobacter.s__.8" 0 0 0.16 0.07 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.38" 0.22 0.3 0.57 0.17 +"k__Bacteria.p__Actinobacteria.c__Rubrobacteria.o__Rubrobacterales.f__Rubrobacteraceae.g__Rubrobacter.s__.14" 0.13 0.13 0.63 0.33 +"k__Bacteria.p__Verrucomicrobia.c__.Spartobacteria..o__.Chthoniobacterales..f__.Chthoniobacteraceae..g__DA101.s__.28" 0 0.01 0.08 0.04 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Burkholderiaceae.g__Burkholderia.s__.8" 0 0.01 0.12 0.04 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Caulobacterales.f__Caulobacteraceae.g__Phenylobacterium.s__.6" 0 0.01 0.17 0.06 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__badius" 0 0 0.03 0.04 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Xanthomonadales.f__Xanthomonadaceae.g__Lysobacter.s__" 0 0.01 0.07 0.02 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Pseudomonadales.f__Pseudomonadaceae.g__Pseudomonas.s__.3" 0 0.01 0.16 0.01 +"k__Bacteria.p__Proteobacteria.c__Deltaproteobacteria.o__Myxococcales.f__Myxococcaceae.g__Myxococcus.s__" 0 0 0.06 0.05 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Planococcaceae.g__Sporosarcina.s__.1" 0 0 0.02 0.02 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Legionellales.f__Legionellaceae.g__Tatlockia.s__" 0 0 0.08 0.07 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__.20" 0 0 0.01 0.03 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Micrococcaceae.g__Arthrobacter.s__pascens" 0 0.01 0.05 0.06 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Beijerinckiaceae.g__Methyloferula.s__stellata" 0 0 0.1 0.06 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Pseudonocardiaceae.g__Pseudonocardia.s__.2" 0 0 0.1 0.03 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Actinosynnemataceae.g__Saccharothrix.s__" 0 0 0.15 0.05 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Pseudomonadales.f__Pseudomonadaceae.g__Pseudomonas.s__.4" 0 0.01 0.2 0.02 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Caulobacterales.f__Caulobacteraceae.g__Nitrobacteria.s__hamadaniensis" 0.23 0.35 0.61 0.15 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Phyllobacteriaceae.g__Mesorhizobium.s__.2" 0 0.02 0.08 0.09 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Intrasporangiaceae.g__Phycicoccus.s__.1" 0 0.02 0.09 0.02 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Streptomycetaceae.g__Streptomyces.s__.13" 0 0.01 0.09 0.08 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Pseudomonadales.f__Pseudomonadaceae.g__Pseudomonas.s__stutzeri" 0 0.01 0.1 0.02 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Caulobacterales.f__Caulobacteraceae.g__Caulobacter.s__.1" 0 0 0.14 0.06 +"k__Bacteria.p__Bacteroidetes.c__.Saprospirae..o__.Saprospirales..f__Chitinophagaceae.g__Chitinophaga.s__" 0 0 0.08 0.04 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Comamonadaceae.g__Variovorax.s__paradoxus.2" 0 0 0.01 0.03 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Geodermatophilaceae.g__Geodermatophilus.s__.1" 0 0 0.05 0.06 +"k__Bacteria.p__Proteobacteria.c__Deltaproteobacteria.o__Syntrophobacterales.f__Syntrophaceae.g__Desulfobacca.s__" 0 0 0.07 0.03 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.39" 0.02 0.02 0.32 0.2 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.40" 0 0.01 0.15 0.01 +"k__Bacteria.p__Firmicutes.c__Clostridia.o__Clostridiales.f__Clostridiaceae.g__Clostridium.s__.9" 0 0 0.03 0.14 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Comamonadaceae.g__Roseateles.s__depolymerans" 0 0 0 0.05 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Gallionellales.f__Gallionellaceae.g__Gallionella.s__.2" 0 0.02 0.19 0.15 +"k__Bacteria.p__Proteobacteria.c__Deltaproteobacteria.o__Myxococcales.f__Myxococcaceae.g__Anaeromyxobacter.s__.2" 0 0 0.06 0.04 +"k__Bacteria.p__Bacteroidetes.c__Flavobacteriia.o__Flavobacteriales.f__Flavobacteriaceae.g__Flavobacterium.s__.20" 0 0.04 0.28 0.07 +"k__Bacteria.p__Bacteroidetes.c__Flavobacteriia.o__Flavobacteriales.f__Flavobacteriaceae.g__Flavobacterium.s__.21" 0 0 0.05 0.06 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Comamonadaceae.g__Acidovorax.s__defluvii" 0 0 0.06 0.05 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Enterobacteriales.f__Enterobacteriaceae.g__Erwinia.s__.1" 0 0 0.05 0.02 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.41" 0 0.02 0.24 0.04 +"k__Bacteria.p__Bacteroidetes.c__Flavobacteriia.o__Flavobacteriales.f__.Weeksellaceae..g__Chryseobacterium.s__.2" 0 0 0.07 0.04 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.42" 0 0 0.11 0.04 +"k__Bacteria.p__Bacteroidetes.c__Cytophagia.o__Cytophagales.f__Cytophagaceae.g__Adhaeribacter.s__.4" 0 0 0.11 0.03 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Pseudomonadales.f__Pseudomonadaceae.g__Pseudomonas.s__.5" 0 0 0.09 0.05 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Paenibacillaceae.g__Paenibacillus.s__.7" 0 0.01 0.14 0.06 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__.21" 0 0 0.02 0.06 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__.22" 0 0 0.09 0 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Comamonadaceae.g__Ramlibacter.s__.1" 0.01 0 0.11 0.04 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Hyphomicrobium.s__.3" 0 0 0 0.04 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.44" 0 0 0.08 0.02 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Lactobacillales.f__Carnobacteriaceae.g__Desemzia.s__" 0 0 0.07 0.05 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Bradyrhizobiaceae.g__Balneimonas.s__.1" 0 0 0.1 0.06 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Nocardiaceae.g__Nocardia.s__" 0 0 0.09 0.04 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Micromonosporaceae.g__Pilimelia.s__" 0 0 0 0.05 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Sphingomonas.s__wittichii.4" 0 0 0.08 0.03 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Bradyrhizobiaceae.g__Balneimonas.s__.2" 0.13 0.11 0.2 0.16 +"k__Bacteria.p__Firmicutes.c__Clostridia.o__Clostridiales.f__Clostridiaceae.g__Clostridium.s__bowmanii.1" 0 0 0.07 0.07 +"k__Bacteria.p__Bacteroidetes.c__.Saprospirae..o__.Saprospirales..f__Chitinophagaceae.g__Flavisolibacter.s__.13" 0 0 0.02 0.05 +"k__Bacteria.p__Bacteroidetes.c__Bacteroidia.o__Bacteroidales.f__Porphyromonadaceae.g__Paludibacter.s__.1" 0 0 0.09 0.04 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Lactobacillales.f__Streptococcaceae.g__Streptococcus.s__.3" 0 0.01 0.17 0.05 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Kaistobacter.s__.9" 0 0 0.05 0.08 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.45" 0 0.02 0.28 0.04 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Nocardiaceae.g__Nocardia.s__.1" 0 0 0.08 0.04 +"k__Bacteria.p__Bacteroidetes.c__.Saprospirae..o__.Saprospirales..f__Chitinophagaceae.g__Flavisolibacter.s__.14" 0 0 0.03 0.06 +"k__Bacteria.p__Bacteroidetes.c__Flavobacteriia.o__Flavobacteriales.f__Flavobacteriaceae.g__Flavobacterium.s__.22" 0 0 0.11 0.02 +"k__Bacteria.p__Bacteroidetes.c__Cytophagia.o__Cytophagales.f__Cytophagaceae.g__Adhaeribacter.s__.5" 0.02 0.04 0.18 0.08 +"k__Bacteria.p__Bacteroidetes.c__Cytophagia.o__Cytophagales.f__Cytophagaceae.g__Adhaeribacter.s__.6" 0 0 0.08 0.03 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Nocardioidaceae.g__Friedmanniella.s__.2" 0 0.01 0.24 0.05 +"k__Bacteria.p__Cyanobacteria.c__Oscillatoriophycideae.o__Oscillatoriales.f__Phormidiaceae.g__Phormidium.s__.1" 0 0 0.14 0.07 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.43" 0.01 0.06 0.34 0.08 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.46" 0 0 0.07 0.03 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Oxalobacteraceae.g__Janthinobacterium.s__.3" 0.03 0.04 0.2 0.01 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Actinosynnemataceae.g__Saccharothrix.s__.1" 0 0 0.07 0.02 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.47" 0 0 0.12 0.05 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Pseudomonadales.f__Moraxellaceae.g__Moraxella.s__" 0 0 0.09 0.03 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Paenibacillaceae.g__Paenibacillus.s__alvei" 0 0 0.1 0.01 +"k__Bacteria.p__Bacteroidetes.c__Flavobacteriia.o__Flavobacteriales.f__Flavobacteriaceae.g__Flavobacterium.s__succinicans.1" 0 0 0.13 0.05 +"k__Bacteria.p__Bacteroidetes.c__.Saprospirae..o__.Saprospirales..f__Chitinophagaceae.g__Segetibacter.s__.9" 0 0 0.03 0.03 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Bradyrhizobiaceae.g__Bradyrhizobium.s__.3" 0 0 0.02 0.05 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__.23" 0 0 0 0.04 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Planococcaceae.g__Planomicrobium.s__.4" 0 0 0.01 0 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Micromonosporaceae.g__Verrucosispora.s__gifhornensis" 0 0.01 0.22 0.04 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.48" 0 0 0.05 0.06 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Frankiaceae.g__Actinomycetales.s__Ellin122" 0 0 0.02 0.08 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Micromonosporaceae.g__Verrucosispora.s__" 0 0 0.06 0.09 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__humi.1" 0 0 0.02 0.05 +"k__Bacteria.p__Acidobacteria.c__Acidobacteriia.o__Acidobacteriales.f__Acidobacteriaceae.g__Acidicapsa.s__borealis" 0 0 0.01 0.09 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Devosia.s__.7" 0 0 0.11 0.05 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Burkholderiaceae.g__Burkholderia.s__.9" 0 0 0.01 0.03 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Methylobacteriaceae.g__Methylobacterium.s__mesophilicum" 0 0 0.04 0.02 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Rhodobiaceae.g__Afifella.s__.5" 0 0 0.02 0.06 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Micromonosporaceae.g__Virgisporangium.s__ochraceum.1" 0 0 0.01 0.04 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Phyllobacteriaceae.g__Defluvibacter.s__" 0 0 0.1 0.05 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Streptomycetaceae.g__Streptomyces.s__.14" 0 0 0.09 0.04 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__.24" 0 0 0.12 0.02 +"k__Bacteria.p__Bacteroidetes.c__Flavobacteriia.o__Flavobacteriales.f__Flavobacteriaceae.g__Flavobacterium.s__.23" 0 0 0.11 0.05 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Streptomycetaceae.g__Streptomyces.s__.15" 0 0 0.11 0.08 +"k__Bacteria.p__Acidobacteria.c__Acidobacteriia.o__Acidobacteriales.f__Koribacteraceae.g__Candidatus.Koribacter.s__.13" 0 0 0 0.06 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Xanthomonadales.f__Xanthomonadaceae.g__Aspromonas.s__composti" 0 0 0.11 0.04 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.49" 0 0.01 0.04 0.03 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Comamonadaceae.g__Methylibium.s__.4" 0 0 0.02 0.05 +"k__Bacteria.p__Actinobacteria.c__Rubrobacteria.o__Rubrobacterales.f__Rubrobacteraceae.g__Rubrobacter.s__.15" 0.13 0.13 0.56 0.37 +"k__Bacteria.p__Bacteroidetes.c__Cytophagia.o__Cytophagales.f__Cytophagaceae.g__Sporocytophaga.s__.1" 0 0.01 0.12 0.05 +"k__Bacteria.p__Bacteroidetes.c__.Saprospirae..o__.Saprospirales..f__Chitinophagaceae.g__Segetibacter.s__.10" 0 0 0.11 0.05 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Microbacteriaceae.g__Agromyces.s__.2" 0 0.02 0.07 0.09 +"k__Bacteria.p__Bacteroidetes.c__.Saprospirae..o__.Saprospirales..f__Chitinophagaceae.g__Flavisolibacter.s__.15" 0 0.01 0.05 0.03 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Comamonadaceae.g__Methylibium.s__.5" 0 0.02 0.12 0.08 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Alicyclobacillaceae.g__Alicyclobacillus.s__.1" 0 0.01 0.09 0 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.50" 0.31 0.32 0.61 0.44 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Comamonadaceae.g__Rubrivivax.s__.2" 0 0.02 0.23 0.03 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.51" 0 0.01 0.19 0.05 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__cereus" 0 0 0.09 0.08 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Burkholderiaceae.g__Burkholderia.s__.10" 0.01 0.04 0.23 0.04 +"k__Bacteria.p__Verrucomicrobia.c__.Spartobacteria..o__.Chthoniobacterales..f__.Chthoniobacteraceae..g__DA101.s__.29" 0 0 0.08 0.1 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhodospirillales.f__Acetobacteraceae.g__Belnapia.s__moabensis" 0 0 0.03 0.01 +"k__Bacteria.p__Firmicutes.c__Clostridia.o__Clostridiales.f__Clostridiaceae.g__Clostridium.s__.10" 0 0 0.07 0.01 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Sphingomonas.s__.12" 0 0.01 0.08 0.09 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__.25" 0 0 0.01 0.06 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Actinosynnemataceae.g__Lentzea.s__" 0 0.01 0.21 0.03 +"k__Bacteria.p__Chloroflexi.c__Anaerolineae.o__Ardenscatenales.f__Ardenscatenaceae.g__Ardenscatena.s__" 0 0 0.11 0.05 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Propionibacteriaceae.g__Microlunatus.s__.1" 0 0.01 0.03 0.02 +"k__Bacteria.p__Bacteroidetes.c__Flavobacteriia.o__Flavobacteriales.f__Flavobacteriaceae.g__Flavobacterium.s__.24" 0 0 0.01 0.04 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.52" 0.07 0.08 0.52 0.05 +"k__Bacteria.p__Verrucomicrobia.c__Opitutae.o__Opitutales.f__Opitutaceae.g__Opitutus.s__.2" 0 0 0.08 0.03 +"k__Bacteria.p__Bacteroidetes.c__Cytophagia.o__Cytophagales.f__Cytophagaceae.g__Rhodocytophaga.s__.4" 0 0.01 0.15 0.05 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Sphingomonas.s__wittichii.5" 0 0 0.03 0.04 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Xanthomonadales.f__Xanthomonadaceae.g__Lysobacter.s__.1" 0 0 0.03 0.02 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Rhodocyclales.f__Rhodocyclaceae.g__Dechloromonas.s__" 0 0.01 0.13 0.11 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Nocardioidaceae.g__Nocardioides.s__.5" 0 0.01 0.24 0.07 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Mycobacteriaceae.g__Mycobacterium.s__.11" 0 0 0.15 0.05 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__.26" 0 0 0.01 0.06 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Streptosporangiaceae.g__Microbispora.s__mesophila" 0 0 0.12 0.07 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Devosia.s__.8" 0 0 0.1 0.02 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Xanthomonadales.f__Sinobacteraceae.g__Steroidobacter.s__.6" 0 0.02 0.33 0.14 +"k__Bacteria.p__Firmicutes.c__Clostridia.o__Clostridiales.f__Peptococcaceae.g__Desulfosporosinus.s__" 0 0 0.12 0.07 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Micromonosporaceae.g__Pilimelia.s__.1" 0 0 0.03 0.07 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.53" 0 0 0.08 0.05 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Rhodocyclales.f__Rhodocyclaceae.g__Methyloversatilis.s__" 0 0 0.12 0.05 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Pseudonocardiaceae.g__Amycolatopsis.s__.2" 0 0.01 0.05 0.05 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Xanthomonadales.f__Xanthomonadaceae.g__Stenotrophomonas.s__acidaminiphila" 0 0 0.09 0.03 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.54" 0 0 0.01 0.02 +"k__Bacteria.p__Actinobacteria.c__Nitriliruptoria.o__Euzebyales.f__Euzebyaceae.g__Euzebya.s__" 0 0.01 0.17 0.02 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Rhodobiaceae.g__Afifella.s__.6" 0 0 0.07 0.04 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Comamonadaceae.g__Leptothrix.s__.3" 0 0 0.03 0.04 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Caulobacterales.f__Caulobacteraceae.g__Mycoplana.s__" 0 0 0.12 0.04 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Comamonadaceae.g__Methylibium.s__.6" 0.09 0.1 0.42 0.07 +"k__Bacteria.p__Bacteroidetes.c__Cytophagia.o__Cytophagales.f__Cytophagaceae.g__Adhaeribacter.s__.7" 0.03 0.04 0.23 0.05 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Devosia.s__.9" 0 0 0.07 0.03 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__.27" 0 0 0.15 0.07 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Pseudomonadales.f__Pseudomonadaceae.g__Pseudomonas.s__.6" 0 0 0.09 0.08 +"k__Bacteria.p__Proteobacteria.c__Deltaproteobacteria.o__Desulfuromonadales.f__Geobacteraceae.g__Geobacter.s__.9" 0 0 0.04 0.03 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Methylophilales.f__Methylophilaceae.g__Methylotenera.s__mobilis" 0 0 0.08 0.04 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.55" 0 0 0.01 0.04 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.56" 0 0.01 0.07 0.02 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Burkholderiaceae.g__Salinispora.s__.1" 0 0 0.09 0.05 +"k__Bacteria.p__Firmicutes.c__Clostridia.o__Clostridiales.f__Clostridiaceae.g__Clostridium.s__.11" 0 0 0 0.06 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Paenibacillaceae.g__Paenibacillus.s__.8" 0 0 0.03 0.05 +"k__Bacteria.p__Bacteroidetes.c__Flavobacteriia.o__Flavobacteriales.f__Flavobacteriaceae.g__Flavobacterium.s__.25" 0 0 0.02 0.03 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Hyphomicrobium.s__.4" 0 0 0.18 0.05 +"k__Bacteria.p__Cyanobacteria.c__Synechococcophycideae.o__Pseudanabaenales.f__Pseudanabaenaceae.g__Leptolyngbya.s__frigida" 0 0 0.14 0.03 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Paenibacillaceae.g__Paenibacillus.s__larvae" 0 0 0.07 0.06 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Pseudonocardiaceae.g__Amycolatopsis.s__.3" 0 0 0.03 0.05 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Sphingomonas.s__.13" 0 0.02 0.17 0.05 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Xanthomonadales.f__Sinobacteraceae.g__Steroidobacter.s__.7" 0 0 0.06 0.13 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Legionellales.f__Legionellaceae.g__Legionella.s__.2" 0 0 0.13 0.05 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.44" 0 0.01 0.1 0.05 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rickettsiales.f__mitochondria.g__Anomodon.s__rugelii" 0 0 0.11 0.05 +"k__Bacteria.p__Verrucomicrobia.c__.Spartobacteria..o__.Chthoniobacterales..f__.Chthoniobacteraceae..g__DA101.s__.30" 0 0 0.04 0 +"k__Bacteria.p__Bacteroidetes.c__Cytophagia.o__Cytophagales.f__Cytophagaceae.g__Adhaeribacter.s__.8" 0 0 0.08 0.06 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Streptomycetaceae.g__Streptomyces.s__.16" 0 0 0 0.06 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Comamonadaceae.g__Limnohabitans.s__.1" 0 0 0.07 0.01 +"k__Bacteria.p__Proteobacteria.c__Deltaproteobacteria.o__.Entotheonellales..f__.Entotheonellaceae..g__Candidatus.Entotheonella.s__.1" 0 0 0.08 0.04 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Comamonadaceae.g__Polaromonas.s__.3" 0 0 0.12 0.03 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Micrococcaceae.g__Arthrobacter.s__.2" 0 0 0.12 0.04 +"k__Bacteria.p__Bacteroidetes.c__.Saprospirae..o__.Saprospirales..f__Chitinophagaceae.g__Flavisolibacter.s__.16" 0 0 0.06 0.06 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Sphingomonas.s__.14" 0 0 0.04 0.07 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.57" 0 0 0.04 0.1 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__.28" 0 0 0.06 0.02 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.58" 0.02 0.03 0.18 0.13 +"k__Bacteria.p__Proteobacteria.c__Deltaproteobacteria.o__Desulfuromonadales.f__Geobacteraceae.g__Geobacter.s__.10" 0.02 0.04 0.21 0.06 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhodospirillales.f__Acetobacteraceae.g__Roseomonas.s__" 0 0 0.02 0.03 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Oxalobacteraceae.g__Janthinobacterium.s__.4" 0 0 0.09 0.09 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhodospirillales.f__Rhodospirillaceae.g__Skermanella.s__" 0 0 0.05 0.02 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Burkholderiaceae.g__Burkholderia.s__.11" 0 0.01 0.05 0.05 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Geobacillus.s__" 0 0 0.06 0.04 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Xanthomonadales.f__Sinobacteraceae.g__Steroidobacter.s__.8" 0.08 0.07 0.39 0.07 +"k__Bacteria.p__Bacteroidetes.c__Sphingobacteriia.o__Sphingobacteriales.f__Sphingobacteriaceae.g__Pedobacter.s__.2" 0 0 0 0.05 +"k__Bacteria.p__Firmicutes.c__Clostridia.o__Clostridiales.f__Clostridiaceae.g__Clostridium.s__.12" 0 0 0.08 0.02 +"k__Bacteria.p__Bacteroidetes.c__Cytophagia.o__Cytophagales.f__Cytophagaceae.g__Hymenobacter.s__.6" 0 0.01 0.16 0 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Paenibacillaceae.g__Paenibacillus.s__.9" 0 0 0.09 0.02 +"k__Bacteria.p__Bacteroidetes.c__.Saprospirae..o__.Saprospirales..f__Chitinophagaceae.g__Flavisolibacter.s__.17" 0 0 0 0.05 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Microbacteriaceae.g__Salinibacterium.s__.2" 0 0.01 0.09 0.04 +"k__Bacteria.p__Tenericutes.c__Mollicutes.o__Anaeroplasmatales.f__Anaeroplasmataceae.g__Asteroleplasma.s__.1" 0 0.01 0.27 0.04 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__.29" 0 0 0.07 0.08 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Legionellales.f__Legionellaceae.g__Legionella.s__.3" 0 0 0.12 0.03 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhodospirillales.f__Acetobacteraceae.g__Roseomonas.s__aerilata" 0 0.01 0.08 0.02 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Rhizobiaceae.g__Shinella.s__" 0 0 0.16 0.03 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.59" 0 0 0.01 0.1 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Oxalobacteraceae.g__Cupriavidus.s__gilardii.1" 0 0 0.12 0.02 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.60" 0 0.01 0.28 0.2 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Paenibacillaceae.g__Paenibacillus.s__.10" 0 0 0.16 0.05 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Pedomicrobium.s__australicum" 0 0 0.16 0.07 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Sphingomonas.s__.15" 0 0 0.03 0.03 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Geodermatophilaceae.g__Geodermatophilus.s__.2" 0.11 0.06 0.29 0.18 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Devosia.s__.10" 0 0 0.09 0.08 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Xanthomonadales.f__Xanthomonadaceae.g__Dokdonella.s__.2" 0 0 0.06 0.09 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Oxalobacteraceae.g__Janthinobacterium.s__.5" 0 0.01 0.08 0.01 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Rhodobiaceae.g__Afifella.s__.7" 0 0.01 0.13 0.04 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Kaistobacter.s__.10" 0 0 0.03 0.02 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__.30" 0 0.01 0.03 0.08 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Pseudomonadales.f__Pseudomonadaceae.g__Pseudomonas.s__fragi" 0 0 0.12 0.02 +"k__Bacteria.p__Bacteroidetes.c__Cytophagia.o__Cytophagales.f__Cytophagaceae.g__Spirosoma.s__.1" 0 0 0.05 0.05 +"k__Bacteria.p__Gemmatimonadetes.c__Gemmatimonadetes.o__Gemmatimonadales.f__Gemmatimonadaceae.g__Gemmatimonas.s__.2" 0 0.01 0.23 0.06 +"k__Bacteria.p__Proteobacteria.c__Deltaproteobacteria.o__Myxococcales.f__Polyangiaceae.g__Sorangium.s__cellulosum.1" 0 0 0.01 0.02 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__thuringiensis" 0 0 0.07 0.08 +"k__Bacteria.p__Acidobacteria.c__Acidobacteriia.o__Acidobacteriales.f__Koribacteraceae.g__Candidatus.Koribacter.s__.14" 0 0 0.11 0.04 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhodospirillales.f__Rhodospirillaceae.g__Skermanella.s__.1" 0 0 0.05 0.05 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Methylobacteriaceae.g__Methylobacterium.s__.2" 0 0 0.01 0.03 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Xanthomonadales.f__Xanthomonadaceae.g__Lysobacter.s__.2" 0 0.01 0.1 0.02 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Microbacteriaceae.g__Curtobacterium.s__" 0 0 0.11 0.05 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Streptomycetaceae.g__Streptomyces.s__.17" 0 0 0.05 0.03 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Pedomicrobium.s__.4" 0.25 0.23 0.6 0.08 +"k__Bacteria.p__Bacteroidetes.c__Flavobacteriia.o__Flavobacteriales.f__Flavobacteriaceae.g__Flavobacterium.s__.26" 0 0.01 0.17 0.03 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Devosia.s__.11" 0.01 0.01 0.22 0.09 +"k__Bacteria.p__Verrucomicrobia.c__.Spartobacteria..o__.Chthoniobacterales..f__.Chthoniobacteraceae..g__DA101.s__.31" 0 0 0.09 0.04 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Thermomonosporaceae.g__Actinomadura.s__alba" 0 0 0.13 0.02 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Paenibacillaceae.g__Paenibacillus.s__.11" 0 0 0.05 0.05 +"k__Bacteria.p__Actinobacteria.c__Rubrobacteria.o__Rubrobacterales.f__Rubrobacteraceae.g__Rubrobacter.s__.16" 0 0.01 0.12 0.12 +"k__Bacteria.p__Bacteroidetes.c__.Saprospirae..o__.Saprospirales..f__Chitinophagaceae.g__Segetibacter.s__.11" 0 0 0.01 0.05 +"k__Bacteria.p__Bacteroidetes.c__Flavobacteriia.o__Flavobacteriales.f__Flavobacteriaceae.g__Flavobacterium.s__succinicans.2" 0 0 0.01 0.03 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Bradyrhizobiaceae.g__Bosea.s__genosp." 0 0 0.12 0.01 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Alteromonadales.f__Alteromonadaceae.g__Cellvibrio.s__.1" 0 0.01 0.21 0.05 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Devosia.s__.12" 0 0 0.04 0.05 +"k__Bacteria.p__Firmicutes.c__Clostridia.o__Clostridiales.f__Lachnospiraceae.g__Coprococcus.s__" 0 0 0.07 0.05 +"k__Bacteria.p__Bacteroidetes.c__.Saprospirae..o__.Saprospirales..f__Chitinophagaceae.g__Flavisolibacter.s__.18" 0 0 0.01 0.01 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Oxalobacteraceae.g__Ralstonia.s__.3" 0 0.02 0.3 0.07 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Methylobacteriaceae.g__Methylobacterium.s__adhaesivum.1" 0 0 0.06 0.01 +"k__Bacteria.p__Bacteroidetes.c__Flavobacteriia.o__Flavobacteriales.f__Flavobacteriaceae.g__Flavobacterium.s__.27" 0 0 0.01 0.03 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Microbacteriaceae.g__Agromyces.s__.3" 0 0 0.1 0.08 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Kaistobacter.s__.11" 0 0 0.02 0.05 +"k__Bacteria.p__Armatimonadetes.c__.Fimbriimonadia..o__.Fimbriimonadales..f__.Fimbriimonadaceae..g__Fimbriimonas.s__.2" 0 0 0.05 0.05 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__firmus" 0 0.01 0.14 0.08 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Legionellales.f__Coxiellaceae.g__Aquicella.s__.5" 0 0 0.23 0.02 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Kaistobacter.s__.12" 0 0 0.07 0.05 +"k__Bacteria.p__Chloroflexi.c__Anaerolineae.o__Ardenscatenales.f__Ardenscatenaceae.g__Ardenscatena.s__.1" 0 0 0.07 0.03 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Micromonosporaceae.g__Catellatospora.s__.3" 0 0 0.11 0.05 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Geodermatophilaceae.g__Geodermatophilus.s__.3" 0.01 0 0.06 0.05 +"k__Bacteria.p__Nitrospirae.c__Nitrospira.o__Nitrospirales.f__Nitrospiraceae.g__Nitrospira.s__.4" 0 0 0.04 0.08 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.45" 0 0.02 0.15 0.04 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Micromonosporaceae.g__Catellatospora.s__.4" 0 0 0.08 0.1 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Xanthomonadales.f__Xanthomonadaceae.g__Pseudoxanthomonas.s__indica" 0 0 0.11 0.02 +"k__Bacteria.p__Actinobacteria.c__Rubrobacteria.o__Rubrobacterales.f__Rubrobacteraceae.g__Rubrobacter.s__.17" 0 0 0.03 0.04 +"k__Bacteria.p__Bacteroidetes.c__Flavobacteriia.o__Flavobacteriales.f__Flavobacteriaceae.g__Flavobacterium.s__.28" 0 0 0.05 0 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__.31" 0 0 0.01 0.02 +"k__Bacteria.p__Proteobacteria.c__Deltaproteobacteria.o__Desulfuromonadales.f__Geobacteraceae.g__Geobacter.s__.11" 0 0 0.13 0.05 +"k__Bacteria.p__Verrucomicrobia.c__.Spartobacteria..o__.Chthoniobacterales..f__.Chthoniobacteraceae..g__DA101.s__.32" 0 0.01 0.28 0.08 +"k__Bacteria.p__Bacteroidetes.c__Sphingobacteriia.o__Sphingobacteriales.f__Sphingobacteriaceae.g__Pedobacter.s__.3" 0 0 0.03 0.05 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.61" 0 0 0.07 0.08 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.62" 0.07 0.12 0.48 0.09 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__.32" 0 0 0.01 0.05 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Rhodobiaceae.g__Afifella.s__.8" 0 0.03 0.1 0.05 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__.33" 0 0 0.12 0.1 +"k__Bacteria.p__Bacteroidetes.c__Cytophagia.o__Cytophagales.f__Cytophagaceae.g__Adhaeribacter.s__.9" 0.04 0.05 0.12 0.21 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Microbacteriaceae.g__Microbacterium.s__.3" 0 0 0.1 0.07 +"k__Bacteria.p__Proteobacteria.c__Deltaproteobacteria.o__Myxococcales.f__Polyangiaceae.g__Sorangium.s__cellulosum.2" 0 0.02 0.23 0.05 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Microbacteriaceae.g__Salinibacterium.s__.3" 0 0.01 0.04 0.03 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Nitrosomonadales.f__Nitrosomonadaceae.g__Nitrosovibrio.s__tenuis" 0 0.01 0.03 0.01 +"k__Bacteria.p__Bacteroidetes.c__Cytophagia.o__Cytophagales.f__Cytophagaceae.g__Adhaeribacter.s__.10" 0.01 0 0.04 0.14 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Sphingomonas.s__.16" 0.01 0.02 0.04 0.03 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Sphingomonas.s__.17" 0 0.01 0.12 0.05 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Nocardioidaceae.g__Nocardioides.s__.6" 0 0 0.07 0.02 +"k__Bacteria.p__Actinobacteria.c__Rubrobacteria.o__Rubrobacterales.f__Rubrobacteraceae.g__Rubrobacter.s__.18" 0.01 0.01 0.35 0.25 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Cryptosporangiaceae.g__Cryptosporangium.s__" 0 0 0.06 0.03 +"k__Bacteria.p__Acidobacteria.c__Acidobacteriia.o__Acidobacteriales.f__Koribacteraceae.g__Candidatus.Koribacter.s__.15" 0 0.01 0.1 0.07 +"k__Bacteria.p__Proteobacteria.c__Deltaproteobacteria.o__Bdellovibrionales.f__Bdellovibrionaceae.g__Bdellovibrio.s__.9" 0 0.01 0.03 0.02 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Devosia.s__.13" 0 0.01 0.06 0.07 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Bradyrhizobiaceae.g__Balneimonas.s__.3" 0.03 0.01 0.22 0.46 +"k__Bacteria.p__Bacteroidetes.c__Flavobacteriia.o__Flavobacteriales.f__Flavobacteriaceae.g__Flavobacterium.s__.29" 0 0 0.13 0.03 +"k__Bacteria.p__Actinobacteria.c__Nitriliruptoria.o__Euzebyales.f__Euzebyaceae.g__Euzebya.s__.1" 0 0.01 0.02 0.05 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Micromonosporaceae.g__Solwaraspora.s__" 0 0 0.02 0.03 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Pseudomonadales.f__Pseudomonadaceae.g__Pseudomonas.s__.7" 0 0 0.04 0.02 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Rhodobiaceae.g__Afifella.s__.9" 0 0 0.03 0.04 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Nocardioidaceae.g__Friedmanniella.s__.3" 0 0 0 0.02 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.63" 0 0.02 0.09 0.25 +"k__Bacteria.p__Acidobacteria.c__Acidobacteriia.o__Acidobacteriales.f__Koribacteraceae.g__Candidatus.Koribacter.s__.16" 0 0 0 0.16 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Rhizobiaceae.g__Agrobacterium.s__.7" 0 0 0.09 0.06 +"k__Bacteria.p__Acidobacteria.c__Acidobacteriia.o__Acidobacteriales.f__Koribacteraceae.g__Candidatus.Koribacter.s__.17" 0 0.01 0.08 0.03 +"k__Bacteria.p__Bacteroidetes.c__Cytophagia.o__Cytophagales.f__Cytophagaceae.g__Adhaeribacter.s__.11" 0 0.02 0.18 0.08 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.64" 0 0 0.11 0.08 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Sphingomonas.s__.18" 0 0 0.13 0.08 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Bradyrhizobiaceae.g__Balneimonas.s__.4" 0 0 0 0.03 +"k__Bacteria.p__Verrucomicrobia.c__Opitutae.o__Opitutales.f__Opitutaceae.g__Opitutus.s__.3" 0 0 0.12 0.05 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Hyphomicrobium.s__.5" 0 0 0.05 0 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Xanthomonadales.f__Xanthomonadaceae.g__Luteimonas.s__" 0 0 0.11 0.09 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.65" 0.62 0.66 0.94 0.39 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Planococcaceae.g__Viridibacillus.s__" 0 0.01 0.17 0.08 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Burkholderiaceae.g__Burkholderia.s__andropogonis.1" 0 0.02 0.11 0.07 +"k__Bacteria.p__Bacteroidetes.c__.Saprospirae..o__.Saprospirales..f__Chitinophagaceae.g__Flavisolibacter.s__.19" 0 0.01 0.09 0 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Pseudomonadales.f__Pseudomonadaceae.g__Pseudomonas.s__.8" 0 0.02 0.12 0.07 +"k__Bacteria.p__Bacteroidetes.c__Sphingobacteriia.o__Sphingobacteriales.f__Sphingobacteriaceae.g__Pedobacter.s__.4" 0 0 0.06 0.06 +"k__Bacteria.p__Bacteroidetes.c__Flavobacteriia.o__Flavobacteriales.f__Flavobacteriaceae.g__Flavobacterium.s__.30" 0 0.01 0.17 0.04 +"k__Bacteria.p__Bacteroidetes.c__Flavobacteriia.o__Flavobacteriales.f__Flavobacteriaceae.g__Flavobacterium.s__.31" 0 0.01 0.25 0.04 +"k__Bacteria.p__Actinobacteria.c__Acidimicrobiia.o__Acidimicrobiales.f__Iamiaceae.g__Iamia.s__.2" 0.02 0.01 0.13 0.05 +"k__Bacteria.p__Verrucomicrobia.c__.Spartobacteria..o__.Chthoniobacterales..f__.Chthoniobacteraceae..g__DA101.s__.33" 0 0.01 0.11 0.02 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Burkholderiaceae.g__Burkholderia.s__.12" 0 0 0 0.05 +"k__Bacteria.p__Verrucomicrobia.c__.Spartobacteria..o__.Chthoniobacterales..f__.Chthoniobacteraceae..g__DA101.s__.34" 0 0 0.13 0.09 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Cellulomonadaceae.g__Cellulomonas.s__xylanilytica" 0 0 0.01 0.07 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Rhodocyclales.f__Rhodocyclaceae.g__Dechloromonas.s__.1" 0 0 0.07 0.04 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__.34" 0 0.01 0.07 0.04 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.66" 0.3 0.43 0.73 0.21 +"k__Bacteria.p__Nitrospirae.c__Nitrospira.o__Nitrospirales.f__Nitrospiraceae.g__Nitrospira.s__.5" 0 0.01 0.09 0.02 +"k__Bacteria.p__Firmicutes.c__Clostridia.o__Clostridiales.f__Clostridiaceae.g__SMB53.s__" 0 0.03 0.16 0.07 +"k__Bacteria.p__Cyanobacteria.c__Oscillatoriophycideae.o__Oscillatoriales.f__Phormidiaceae.g__Phormidium.s__.2" 0 0 0.04 0.07 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Devosia.s__.14" 0 0.01 0.07 0.02 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.67" 0 0 0.01 0.02 +"k__Bacteria.p__Bacteroidetes.c__.Saprospirae..o__.Saprospirales..f__Chitinophagaceae.g__Flavisolibacter.s__.20" 0 0.01 0.23 0.07 +"k__Bacteria.p__Bacteroidetes.c__.Saprospirae..o__.Saprospirales..f__Chitinophagaceae.g__Segetibacter.s__.12" 0 0 0.01 0.02 +"k__Bacteria.p__Bacteroidetes.c__Flavobacteriia.o__Flavobacteriales.f__Cryomorphaceae.g__Fluviicola.s__" 0 0 0.08 0.04 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Xanthomonadales.f__Xanthomonadaceae.g__Thermomonas.s__.1" 0 0 0 0.05 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Lactobacillales.f__Streptococcaceae.g__Streptococcus.s__.4" 0 0.01 0.08 0.03 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.68" 0 0 0.08 0.05 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Legionellales.f__Coxiellaceae.g__Aquicella.s__.6" 0 0 0.1 0.04 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Sphingomonas.s__.19" 0 0.01 0.15 0.11 +"k__Bacteria.p__Bacteroidetes.c__Cytophagia.o__Cytophagales.f__Cytophagaceae.g__Adhaeribacter.s__.12" 0 0 0 0.1 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Microbacteriaceae.g__Salinibacterium.s__.4" 0 0 0.09 0.07 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.69" 0 0 0.1 0.09 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.70" 0.05 0.01 0.09 0.03 +"k__Bacteria.p__Proteobacteria.c__Deltaproteobacteria.o__Bdellovibrionales.f__Bdellovibrionaceae.g__Bdellovibrio.s__.10" 0 0 0.13 0.01 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Legionellales.f__Coxiellaceae.g__Aquicella.s__.7" 0 0 0.17 0.02 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__cereus.1" 0 0 0.19 0.05 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Pseudomonadales.f__Pseudomonadaceae.g__Pseudomonas.s__.9" 0.05 0.12 0.47 0.02 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Burkholderiaceae.g__Burkholderia.s__.13" 0 0 0.07 0.05 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Rhodobiaceae.g__Afifella.s__.10" 0 0 0.01 0.02 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Devosia.s__.15" 0 0.01 0.05 0.04 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.46" 0.05 0.14 0.5 0.04 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Methylophilales.f__Methylophilaceae.g__Methylotenera.s__mobilis.1" 0 0.01 0.13 0.08 +"k__Bacteria.p__Verrucomicrobia.c__Opitutae.o__Opitutales.f__Opitutaceae.g__Opitutus.s__.4" 0 0 0.12 0.06 +"k__Bacteria.p__Tenericutes.c__Mollicutes.o__Anaeroplasmatales.f__Anaeroplasmataceae.g__Asteroleplasma.s__.2" 0 0 0.11 0.06 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Sphingomonas.s__asaccharolytica" 0 0.02 0.06 0.04 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Bradyrhizobiaceae.g__Bradyrhizobium.s__.4" 0 0.01 0.12 0.05 +"k__Bacteria.p__Verrucomicrobia.c__.Spartobacteria..o__.Chthoniobacterales..f__.Chthoniobacteraceae..g__DA101.s__.35" 0 0 0.12 0.07 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Streptomycetaceae.g__Streptomyces.s__.18" 0 0 0 0.04 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Bradyrhizobiaceae.g__Balneimonas.s__.5" 0.56 0.37 0.65 0.66 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__asahii" 0 0.01 0.15 0.05 +"k__Bacteria.p__Tenericutes.c__Mollicutes.o__Anaeroplasmatales.f__Anaeroplasmataceae.g__Asteroleplasma.s__.3" 0 0.03 0.08 0.02 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.71" 0 0.01 0.11 0.08 +"k__Bacteria.p__Verrucomicrobia.c__.Spartobacteria..o__.Chthoniobacterales..f__.Chthoniobacteraceae..g__DA101.s__.36" 0 0 0.1 0.07 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Alicyclobacillaceae.g__Alicyclobacillus.s__.2" 0 0 0.02 0.03 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.47" 0.01 0.03 0.22 0.12 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Xanthomonadales.f__Xanthomonadaceae.g__Rhodanobacter.s__" 0 0.01 0.06 0.04 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Rhodocyclales.f__Rhodocyclaceae.g__Azoarcus.s__.2" 0 0 0.13 0.02 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Oxalobacteraceae.g__Janthinobacterium.s__lividum" 0 0.01 0.06 0.04 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Burkholderiaceae.g__Pandoraea.s__" 0 0 0.06 0.02 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Streptomycetaceae.g__Streptomyces.s__.19" 0 0 0.14 0.03 +"k__Bacteria.p__Acidobacteria.c__Acidobacteriia.o__Acidobacteriales.f__Acidobacteriaceae.g__Terriglobus.s__.1" 0 0 0.11 0 +"k__Bacteria.p__Bacteroidetes.c__.Saprospirae..o__.Saprospirales..f__Chitinophagaceae.g__Flavisolibacter.s__.21" 0 0 0.02 0.05 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Mycobacteriaceae.g__Mycobacterium.s__vaccae.1" 0 0 0.08 0.11 +"k__Bacteria.p__Cyanobacteria.c__Oscillatoriophycideae.o__Oscillatoriales.f__Phormidiaceae.g__Phormidium.s__.3" 0 0 0.34 0.07 +"k__Bacteria.p__Proteobacteria.c__Deltaproteobacteria.o__Bdellovibrionales.f__Bdellovibrionaceae.g__Bdellovibrio.s__.11" 0 0 0.22 0.13 +"k__Bacteria.p__Bacteroidetes.c__Flavobacteriia.o__Flavobacteriales.f__Flavobacteriaceae.g__Flavobacterium.s__.32" 0 0 0.13 0.05 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.48" 0 0 0.01 0.05 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Bradyrhizobiaceae.g__Bosea.s__genosp..1" 0 0 0.01 0.04 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Comamonadaceae.g__Methylibium.s__.7" 0.01 0 0.03 0.03 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.49" 0 0 0.04 0.07 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Comamonadaceae.g__Rubrivivax.s__.3" 0.02 0.04 0.2 0.08 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Mycobacteriaceae.g__Mycobacterium.s__.12" 0 0 0.2 0.03 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.72" 0.01 0.01 0.02 0.04 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Devosia.s__.16" 0 0 0.13 0.03 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Comamonadaceae.g__Ramlibacter.s__.2" 0 0 0.02 0.05 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Oxalobacteraceae.g__Janthinobacterium.s__.6" 0 0 0.04 0.03 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Mycobacteriaceae.g__Mycobacterium.s__llatzerense" 0 0 0.03 0.07 +"k__Bacteria.p__Acidobacteria.c__Acidobacteriia.o__Acidobacteriales.f__Acidobacteriaceae.g__Terriglobus.s__.2" 0 0 0.02 0.08 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Beijerinckiaceae.g__Methylovirgula.s__ligni" 0 0.01 0.04 0.09 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Nocardioidaceae.g__Nocardioides.s__furvisabuli" 0 0 0.12 0.07 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__.35" 0 0 0.01 0.03 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Oxalobacteraceae.g__Janthinobacterium.s__lividum.1" 0 0 0.1 0.06 +"k__Bacteria.p__Bacteroidetes.c__Flavobacteriia.o__Flavobacteriales.f__.Weeksellaceae..g__Chryseobacterium.s__.3" 0 0.01 0.12 0.04 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Mycobacteriaceae.g__Mycobacterium.s__.13" 0 0 0.05 0.07 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Actinosynnemataceae.g__Kutzneria.s__" 0 0 0.18 0.08 +"k__Bacteria.p__Bacteroidetes.c__Cytophagia.o__Cytophagales.f__Cytophagaceae.g__Hymenobacter.s__.7" 0 0.01 0.04 0.03 +"k__Bacteria.p__Acidobacteria.c__Acidobacteriia.o__Acidobacteriales.f__Koribacteraceae.g__Candidatus.Koribacter.s__.18" 0.04 0.12 0.39 0.14 +"k__Bacteria.p__Acidobacteria.c__Acidobacteriia.o__Acidobacteriales.f__Koribacteraceae.g__Candidatus.Koribacter.s__.19" 0.02 0.07 0.24 0.14 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.50" 0 0 0.13 0.07 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Burkholderiaceae.g__Burkholderia.s__.14" 0 0 0 0.04 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Sphingomonas.s__.20" 0 0 0.06 0.03 +"k__Bacteria.p__Verrucomicrobia.c__.Spartobacteria..o__.Chthoniobacterales..f__.Chthoniobacteraceae..g__DA101.s__.37" 0 0 0.03 0.07 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__cereus.2" 0 0.01 0.02 0.04 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Comamonadaceae.g__Leptothrix.s__.4" 0 0.01 0.05 0.05 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__selenatarsenatis.2" 0 0 0.06 0.06 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Planococcaceae.g__Sporosarcina.s__.2" 0 0 0 0.03 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Micromonosporaceae.g__Pilimelia.s__.2" 0 0 0.07 0.01 +"k__Bacteria.p__Bacteroidetes.c__Cytophagia.o__Cytophagales.f__Cytophagaceae.g__Dyadobacter.s__.2" 0 0.01 0.23 0.07 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.73" 0 0 0.05 0.04 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Streptosporangiaceae.g__Nonomuraea.s__.1" 0 0 0.03 0.02 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.74" 0 0 0.07 0.03 +"k__Bacteria.p__Gemmatimonadetes.c__Gemmatimonadetes.o__Gemmatimonadales.f__Gemmatimonadaceae.g__Gemmatimonas.s__.3" 0 0 0.04 0.02 +"k__Bacteria.p__Bacteroidetes.c__Flavobacteriia.o__Flavobacteriales.f__Flavobacteriaceae.g__Flavobacterium.s__.33" 0 0.01 0.05 0.06 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Phyllobacteriaceae.g__Mesorhizobium.s__.3" 0 0 0.11 0.03 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.51" 0 0 0.12 0.02 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Sphingomonas.s__.21" 0 0 0.06 0.05 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Pseudonocardiaceae.g__Pseudonocardia.s__.3" 0.02 0.05 0.12 0.1 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Rhodocyclales.f__Rhodocyclaceae.g__Dok59.s__" 0 0.01 0.08 0.02 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Xanthomonadales.f__Xanthomonadaceae.g__Lysobacter.s__ximonensis" 0.01 0.08 0.29 0.06 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__selenatarsenatis.3" 0 0 0 0.05 +"k__Bacteria.p__Acidobacteria.c__Holophagae.o__Holophagales.f__Holophagaceae.g__Geothrix.s__.1" 0.05 0.11 0.38 0.08 +"k__Bacteria.p__Bacteroidetes.c__Flavobacteriia.o__Flavobacteriales.f__Flavobacteriaceae.g__Flavobacterium.s__.34" 0 0 0.1 0.08 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.75" 0 0 0.01 0.03 +"k__Bacteria.p__Verrucomicrobia.c__.Spartobacteria..o__.Chthoniobacterales..f__.Chthoniobacteraceae..g__Ellin506.s__" 0 0 0.08 0.07 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.76" 0.4 0.6 0.87 0.51 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.52" 0.02 0.03 0.24 0.15 +"k__Bacteria.p__Firmicutes.c__Clostridia.o__Clostridiales.f__Clostridiaceae.g__Clostridium.s__.13" 0 0 0.1 0.07 +"k__Bacteria.p__Bacteroidetes.c__Flavobacteriia.o__Flavobacteriales.f__Flavobacteriaceae.g__Capnocytophaga.s__.2" 0 0.02 0.08 0.05 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__.36" 0 0 0.02 0.09 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhodobacterales.f__Rhodobacteraceae.g__Rubellimicrobium.s__.3" 0 0 0.04 0.04 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__cereus.3" 0 0 0.05 0 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Legionellales.f__Legionellaceae.g__Legionella.s__.4" 0 0.02 0.13 0.06 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Sphingomonas.s__wittichii.6" 0 0 0.03 0.03 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Paenibacillaceae.g__Paenibacillus.s__.12" 0 0 0.03 0.05 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Pseudonocardiaceae.g__Pseudonocardia.s__.4" 0.01 0.01 0.05 0.04 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Sphingomonas.s__.22" 0 0 0.01 0.06 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Novosphingobium.s__.8" 0 0 0 0.03 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Pseudonocardiaceae.g__Pseudonocardia.s__.5" 0 0 0 0.09 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.77" 0.01 0.01 0.15 0.14 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Paenibacillaceae.g__Paenibacillus.s__.13" 0 0.01 0.08 0.03 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Paenibacillaceae.g__Aneurinibacillus.s__" 0 0 0.06 0.06 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhodobacterales.f__Rhodobacteraceae.g__Rhodobacter.s__" 0 0 0.09 0.06 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Kaistobacter.s__.13" 0 0 0.07 0.06 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.53" 0 0.01 0.04 0.03 +"k__Bacteria.p__Bacteroidetes.c__Flavobacteriia.o__Flavobacteriales.f__.Weeksellaceae..g__Chryseobacterium.s__.4" 0 0 0.09 0.03 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Phyllobacteriaceae.g__Mesorhizobium.s__.4" 0 0 0.03 0.02 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhodospirillales.f__Acetobacteraceae.g__Acidiphilium.s__" 0 0 0.08 0.03 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.78" 0.03 0.07 0.13 0.04 +"k__Bacteria.p__Acidobacteria.c__Acidobacteriia.o__Acidobacteriales.f__Koribacteraceae.g__Candidatus.Koribacter.s__.20" 0 0 0.04 0.09 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Actinosynnemataceae.g__Kibdelosporangium.s__.1" 0 0 0 0.06 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Rhizobiaceae.g__Rhizobium.s__" 0 0 0.11 0.04 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.54" 0.05 0.08 0.21 0.08 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Streptomycetaceae.g__Streptomyces.s__.20" 0 0 0.08 0.05 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.79" 0 0.03 0.06 0.11 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Alicyclobacillaceae.g__Alicyclobacillus.s__.3" 0 0 0.1 0.05 +"k__Bacteria.p__Firmicutes.c__Clostridia.o__Clostridiales.f__Clostridiaceae.g__SMB53.s__.1" 0 0 0.07 0.04 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Rhizobiaceae.g__Amorphomonas.s__oryzae" 0 0.01 0.05 0.02 +"k__Bacteria.p__Bacteroidetes.c__Cytophagia.o__Cytophagales.f__Cytophagaceae.g__Spirosoma.s__.2" 0 0 0.03 0.04 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Phyllobacteriaceae.g__Mesorhizobium.s__.5" 0 0 0.09 0.02 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Streptomycetaceae.g__Streptomyces.s__.21" 0 0 0.04 0.05 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Alicyclobacillaceae.g__Alicyclobacillus.s__.4" 0.01 0.04 0.31 0.05 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhodospirillales.f__Rhodospirillaceae.g__Skermanella.s__.2" 0 0 0.1 0.08 +"k__Bacteria.p__Bacteroidetes.c__.Saprospirae..o__.Saprospirales..f__Chitinophagaceae.g__Flavisolibacter.s__.22" 0 0 0.11 0.04 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Actinomycetaceae.g__Actinomyces.s__" 0 0 0.4 0.07 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Neisseriales.f__Neisseriaceae.g__Neisseria.s__" 0 0 0.09 0.06 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Lactobacillales.f__Carnobacteriaceae.g__Granulicatella.s__" 0 0 0.2 0.04 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Intrasporangiaceae.g__Phycicoccus.s__.2" 0 0 0.05 0.05 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.80" 0 0 0.01 0.03 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Oxalobacteraceae.g__Cupriavidus.s__.2" 0 0 0.11 0.04 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Alteromonadales.f__Alteromonadaceae.g__Cellvibrio.s__.2" 0 0 0.1 0.03 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Lactobacillales.f__Streptococcaceae.g__Lactococcus.s__.1" 0 0 0.04 0.08 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Streptomycetaceae.g__Streptacidiphilus.s__" 0 0 0.04 0.09 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Phyllobacteriaceae.g__Mesorhizobium.s__.6" 0 0.01 0.21 0.05 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Actinosynnemataceae.g__Lentzea.s__albidocapillata" 0 0 0.1 0.04 +"k__Bacteria.p__Proteobacteria.c__Deltaproteobacteria.o__Bdellovibrionales.f__Bdellovibrionaceae.g__Bdellovibrio.s__.12" 0.02 0.04 0.3 0.04 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Alicyclobacillaceae.g__Alicyclobacillus.s__.5" 0 0 0.01 0.05 +"k__Bacteria.p__Nitrospirae.c__Nitrospira.o__Nitrospirales.f__Nitrospiraceae.g__JG37.AG.70.s__" 0 0 0.02 0.08 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhodospirillales.f__Rhodospirillaceae.g__Skermanella.s__.3" 0.01 0.01 0.03 0.19 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Rhizobiaceae.g__Agrobacterium.s__.8" 0 0 0 0.04 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Pseudonocardiaceae.g__Pseudonocardia.s__.6" 0 0 0.03 0.03 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.81" 0 0.01 0.03 0 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__muralis.3" 0 0 0.04 0.04 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Kaistobacter.s__.14" 0 0 0.03 0.07 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.82" 0 0.01 0.03 0.06 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Phyllobacteriaceae.g__Mesorhizobium.s__.7" 0 0 0.08 0.08 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Thermomonosporaceae.g__Actinocorallia.s__" 0 0 0.06 0.05 +"k__Bacteria.p__Bacteroidetes.c__Sphingobacteriia.o__Sphingobacteriales.f__Sphingobacteriaceae.g__Pedobacter.s__.5" 0 0 0.02 0.03 +"k__Bacteria.p__Bacteroidetes.c__.Saprospirae..o__.Saprospirales..f__Chitinophagaceae.g__Flavisolibacter.s__.23" 0 0 0.07 0.02 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Kaistobacter.s__.15" 0 0 0.06 0.02 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhodospirillales.f__Rhodospirillaceae.g__Skermanella.s__.4" 0.02 0.04 0.12 0.23 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhodospirillales.f__Acetobacteraceae.g__Acetobacter.s__" 0 0.01 0.09 0.04 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Kaistobacter.s__.16" 0 0 0.05 0.03 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Devosia.s__.17" 0.02 0.06 0.12 0.05 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__.37" 0 0 0.03 0.02 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Mycobacteriaceae.g__Mycobacterium.s__.14" 0.01 0.03 0.31 0.06 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Mycobacteriaceae.g__Mycobacterium.s__celatum.1" 0 0 0.11 0.07 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Burkholderiaceae.g__Burkholderia.s__andropogonis.2" 0 0 0 0.04 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Intrasporangiaceae.g__Oryzihumus.s__leptocrescens" 0 0 0.06 0.03 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Paenibacillaceae.g__Paenibacillus.s__.14" 0 0 0.06 0.06 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Paenibacillaceae.g__Paenibacillus.s__.15" 0 0 0.05 0.03 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Pseudomonadales.f__Pseudomonadaceae.g__Pseudomonas.s__.10" 0.02 0.06 0.39 0 +"k__Bacteria.p__Cyanobacteria.c__Synechococcophycideae.o__Pseudanabaenales.f__Pseudanabaenaceae.g__Leptolyngbya.s__frigida.1" 0 0 0.02 0.03 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Planococcaceae.g__Paenisporosarcina.s__" 0.01 0 0.01 0.06 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Xanthomonadales.f__Xanthomonadaceae.g__Dokdonella.s__.3" 0 0 0.08 0.02 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Glycomycetaceae.g__Glycomyces.s__" 0 0 0.07 0.06 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__.38" 0 0 0.09 0.05 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__.39" 0 0 0.04 0.04 +"k__Bacteria.p__Acidobacteria.c__Acidobacteriia.o__Acidobacteriales.f__Koribacteraceae.g__Candidatus.Koribacter.s__.21" 0.03 0.03 0.1 0.1 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Micromonosporaceae.g__Actinoplanes.s__" 0 0 0.1 0.08 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.83" 0.54 0.64 0.87 0.19 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.55" 0 0.01 0.03 0.06 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Rhodocyclales.f__Rhodocyclaceae.g__K82.s__" 0 0.02 0.1 0.06 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Micromonosporaceae.g__Phytohabitans.s__suffuscus" 0 0 0.24 0.04 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Hyphomicrobium.s__zavarzinii" 0 0.01 0.27 0.06 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Streptomycetaceae.g__Streptomyces.s__.22" 0 0 0 0.03 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__flexus.2" 0 0 0.02 0.01 +"k__Bacteria.p__Bacteroidetes.c__.Saprospirae..o__.Saprospirales..f__Chitinophagaceae.g__Flavisolibacter.s__.24" 0 0.02 0.2 0.05 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.84" 0 0 0.12 0.05 +"k__Bacteria.p__Bacteroidetes.c__.Saprospirae..o__.Saprospirales..f__Chitinophagaceae.g__Flavisolibacter.s__.25" 0 0.02 0.13 0.04 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Paenibacillaceae.g__Paenibacillus.s__.16" 0 0 0.03 0.06 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Mycobacteriaceae.g__Mycobacterium.s__.15" 0 0.01 0.12 0.03 +"k__Bacteria.p__Bacteroidetes.c__Flavobacteriia.o__Flavobacteriales.f__.Weeksellaceae..g__Chryseobacterium.s__.5" 0 0 0.1 0.07 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Oxalobacteraceae.g__Herbaspirillum.s__" 0 0 0.08 0.05 +"k__Bacteria.p__Bacteroidetes.c__Cytophagia.o__Cytophagales.f__Cytophagaceae.g__Larkinella.s__" 0 0 0.06 0.06 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Bradyrhizobiaceae.g__Bradyrhizobium.s__.5" 0 0.01 0.07 0.14 +"k__Bacteria.p__Bacteroidetes.c__.Saprospirae..o__.Saprospirales..f__Chitinophagaceae.g__Chitinophaga.s__.1" 0 0 0.03 0.06 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Pseudonocardiaceae.g__Pseudonocardia.s__.7" 0.05 0.01 0.12 0.21 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Novosphingobium.s__.9" 0 0.01 0.08 0.04 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Paenibacillaceae.g__Paenibacillus.s__.17" 0 0 0.03 0.04 +"k__Bacteria.p__Verrucomicrobia.c__.Spartobacteria..o__.Chthoniobacterales..f__.Chthoniobacteraceae..g__Candidatus.Xiphinematobacter.s__.3" 0 0.02 0.21 0.02 +"k__Bacteria.p__Proteobacteria.c__Deltaproteobacteria.o__Bdellovibrionales.f__Bdellovibrionaceae.g__Bdellovibrio.s__.13" 0 0.01 0.15 0.03 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__muralis.4" 0.01 0.01 0.04 0.06 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__.40" 0 0.01 0.06 0.03 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Burkholderiaceae.g__Burkholderia.s__glathei" 0 0.02 0.33 0.06 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Pseudomonadales.f__Pseudomonadaceae.g__Pseudomonas.s__nitroreducens" 0 0.01 0.09 0.06 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Caulobacterales.f__Caulobacteraceae.g__Phenylobacterium.s__.7" 0 0 0.03 0.04 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__.41" 0 0 0 0.05 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Rhodobiaceae.g__Afifella.s__.11" 0.02 0.03 0.5 0.05 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Burkholderiaceae.g__Burkholderia.s__.15" 0 0.01 0.08 0.06 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Microbacteriaceae.g__Salinibacterium.s__.5" 0 0 0 0 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Legionellales.f__Legionellaceae.g__Legionella.s__.5" 0 0 0.07 0.05 +"k__Bacteria.p__Bacteroidetes.c__Flavobacteriia.o__Flavobacteriales.f__Flavobacteriaceae.g__Flavobacterium.s__.35" 0 0 0.03 0.03 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Microbacteriaceae.g__Agromyces.s__.4" 0 0 0.01 0.07 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Micromonosporaceae.g__Actinoplanes.s__.1" 0.06 0.1 0.51 0.07 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Micromonosporaceae.g__Virgisporangium.s__ochraceum.2" 0 0 0.21 0.03 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Mycobacteriaceae.g__Mycobacterium.s__celatum.2" 0 0.01 0.02 0.1 +"k__Bacteria.p__Verrucomicrobia.c__.Spartobacteria..o__.Chthoniobacterales..f__.Chthoniobacteraceae..g__DA101.s__.38" 0 0 0.07 0.03 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhodobacterales.f__Rhodobacteraceae.g__Rubellimicrobium.s__.4" 0 0 0.02 0.05 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Kaistobacter.s__.17" 0 0 0.07 0.04 +"k__Bacteria.p__Verrucomicrobia.c__.Spartobacteria..o__.Chthoniobacterales..f__.Chthoniobacteraceae..g__DA101.s__.39" 0 0.02 0.22 0.02 +"k__Bacteria.p__Bacteroidetes.c__.Saprospirae..o__.Saprospirales..f__Chitinophagaceae.g__Flavisolibacter.s__.26" 0 0 0.14 0.05 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.56" 0.25 0.33 0.61 0.24 +"k__Bacteria.p__Acidobacteria.c__Acidobacteriia.o__Acidobacteriales.f__Koribacteraceae.g__Candidatus.Koribacter.s__.22" 0 0.01 0.09 0.07 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Rhizobiaceae.g__Agrobacterium.s__.9" 0 0.01 0.13 0.07 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Kaistobacter.s__.18" 0 0 0.02 0.01 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Kaistobacter.s__.19" 0 0 0.01 0.06 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Micromonosporaceae.g__Dactylosporangium.s__.1" 0 0 0.01 0.05 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Pseudonocardiaceae.g__Actinomycetospora.s__.1" 0 0 0.07 0.04 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Comamonadaceae.g__Diaphorobacter.s__" 0 0 0.2 0.07 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.85" 0 0 0.03 0.07 +"k__Bacteria.p__Verrucomicrobia.c__.Spartobacteria..o__.Chthoniobacterales..f__.Chthoniobacteraceae..g__OR.59.s__.1" 0 0 0.03 0.05 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Oxalobacteraceae.g__Janthinobacterium.s__lividum.2" 0 0 0.1 0.05 +"k__Bacteria.p__Verrucomicrobia.c__.Pedosphaerae..o__.Pedosphaerales..f__.Pedosphaeraceae..g__Pedosphaera.s__" 0 0 0.09 0.07 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Rhodobiaceae.g__Afifella.s__.12" 0 0 0 0.01 +"k__Bacteria.p__Actinobacteria.c__Rubrobacteria.o__Rubrobacterales.f__Rubrobacteraceae.g__Rubrobacter.s__.19" 0 0 0.07 0.05 +"k__Bacteria.p__Bacteroidetes.c__.Saprospirae..o__.Saprospirales..f__Chitinophagaceae.g__Sediminibacterium.s__.2" 0 0 0.17 0.03 +"k__Bacteria.p__Bacteroidetes.c__Flavobacteriia.o__Flavobacteriales.f__.Weeksellaceae..g__Chryseobacterium.s__.6" 0 0 0.06 0.04 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Bradyrhizobiaceae.g__Balneimonas.s__.6" 0 0 0.1 0.21 +"k__Bacteria.p__Bacteroidetes.c__.Saprospirae..o__.Saprospirales..f__Chitinophagaceae.g__Flavisolibacter.s__.27" 0.01 0.08 0.22 0.06 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__.42" 0.01 0 0.02 0.04 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Bradyrhizobiaceae.g__Bradyrhizobium.s__.6" 0 0 0.03 0.03 +"k__Bacteria.p__Proteobacteria.c__Deltaproteobacteria.o__Desulfuromonadales.f__Geobacteraceae.g__Geobacter.s__.12" 0 0 0.21 0.05 +"k__Bacteria.p__Proteobacteria.c__Deltaproteobacteria.o__Myxococcales.f__Polyangiaceae.g__Aetherobacter.s__fasciculatus" 0 0 0.02 0.02 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__.43" 0.02 0 0.03 0.03 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.86" 0 0 0.04 0.02 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Pseudomonadales.f__Pseudomonadaceae.g__Pseudomonas.s__.11" 0 0 0.01 0.03 +"k__Bacteria.p__Bacteroidetes.c__Cytophagia.o__Cytophagales.f__Cytophagaceae.g__Adhaeribacter.s__.13" 0 0 0 0.04 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Pseudonocardiaceae.g__Pseudonocardia.s__.8" 0 0 0.1 0.07 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Streptomycetaceae.g__Streptomyces.s__.23" 0 0 0.01 0.02 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Planococcaceae.g__Viridibacillus.s__.1" 0 0 0.16 0.05 +"k__Bacteria.p__Bacteroidetes.c__Sphingobacteriia.o__Sphingobacteriales.f__Sphingobacteriaceae.g__Pedobacter.s__.6" 0 0 0.02 0.02 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Oxalobacteraceae.g__Collimonas.s__" 0 0.01 0.08 0.06 +"k__Bacteria.p__Verrucomicrobia.c__.Spartobacteria..o__.Chthoniobacterales..f__.Chthoniobacteraceae..g__DA101.s__.40" 0 0 0.04 0.02 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Sphingomonas.s__wittichii.7" 0 0 0.05 0.03 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Cellulomonadaceae.g__Demequina.s__" 0 0.01 0.08 0.09 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Devosia.s__.18" 0 0 0.22 0.04 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Mycobacteriaceae.g__Mycobacterium.s__celatum.3" 0 0 0 0.1 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Pseudomonadales.f__Pseudomonadaceae.g__Pseudomonas.s__.12" 0 0 0.17 0.03 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Caulobacterales.f__Caulobacteraceae.g__Asticcacaulis.s__biprosthecium.1" 0 0 0 0.04 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Sphingobium.s__.5" 0 0 0.1 0.07 +"k__Bacteria.p__Bacteroidetes.c__.Saprospirae..o__.Saprospirales..f__Chitinophagaceae.g__Segetibacter.s__.13" 0 0 0.05 0.05 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Micromonosporaceae.g__Actinoplanes.s__.2" 0 0 0 0.06 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Xanthomonadales.f__Sinobacteraceae.g__Steroidobacter.s__.9" 0 0 0.03 0.04 +"k__Bacteria.p__Verrucomicrobia.c__.Spartobacteria..o__.Chthoniobacterales..f__.Chthoniobacteraceae..g__DA101.s__.41" 0 0 0.07 0.04 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.57" 0 0 0.01 0.03 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.58" 0.19 0.3 0.48 0.13 +"k__Bacteria.p__Verrucomicrobia.c__.Spartobacteria..o__.Chthoniobacterales..f__.Chthoniobacteraceae..g__Chthoniobacter.s__.1" 0 0.01 0.11 0.05 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Enterobacteriales.f__Enterobacteriaceae.g__Enterobacter.s__ludwigii" 0 0 0.05 0.03 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Hyphomicrobium.s__.6" 0 0.01 0 0.03 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Paenibacillaceae.g__Brevibacillus.s__.1" 0 0.02 0.11 0.03 +"k__Bacteria.p__Verrucomicrobia.c__Opitutae.o__Opitutales.f__Opitutaceae.g__Opitutus.s__.5" 0 0 0.03 0.04 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Pseudomonadales.f__Moraxellaceae.g__Acinetobacter.s__.3" 0 0 0.06 0.06 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Comamonadaceae.g__Rhodoferax.s__.1" 0.03 0.11 0.4 0.03 +"k__Bacteria.p__Verrucomicrobia.c__.Spartobacteria..o__.Chthoniobacterales..f__.Chthoniobacteraceae..g__DA101.s__.42" 0 0.02 0.08 0.06 +"k__Bacteria.p__Bacteroidetes.c__.Saprospirae..o__.Saprospirales..f__Chitinophagaceae.g__Ferruginibacter.s__lapsinanis" 0 0 0.03 0.06 +"k__Bacteria.p__Bacteroidetes.c__Sphingobacteriia.o__Sphingobacteriales.f__Sphingobacteriaceae.g__Sphingobacterium.s__multivorum" 0 0 0.02 0.02 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Comamonadaceae.g__Rhodoferax.s__.2" 0.01 0.01 0.24 0.07 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Pedomicrobium.s__.5" 0 0 0.03 0.03 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Microbacteriaceae.g__Cryocola.s__" 0 0 0.14 0.05 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Bradyrhizobiaceae.g__Bradyrhizobium.s__.7" 0 0 0.01 0.07 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.87" 0.8 0.84 0.94 0.6 +"k__Bacteria.p__Nitrospirae.c__Nitrospira.o__Nitrospirales.f__FW.g__4.29.s__" 0 0 0.03 0.08 +"k__Bacteria.p__Bacteroidetes.c__Flavobacteriia.o__Flavobacteriales.f__Flavobacteriaceae.g__Flavobacterium.s__succinicans.3" 0 0.02 0.17 0.04 +"k__Bacteria.p__Firmicutes.c__Clostridia.o__Clostridiales.f__Clostridiaceae.g__Clostridium.s__.14" 0 0 0.02 0.07 +"k__Bacteria.p__Proteobacteria.c__Deltaproteobacteria.o__Myxococcales.f__Nannocystaceae.g__Plesiocystis.s__" 0 0 0.07 0.03 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Pseudonocardiaceae.g__Amycolatopsis.s__.4" 0 0 0.08 0.03 +"k__Bacteria.p__Bacteroidetes.c__Sphingobacteriia.o__Sphingobacteriales.f__Sphingobacteriaceae.g__Pedobacter.s__.7" 0 0 0.11 0.04 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Enterobacteriales.f__Enterobacteriaceae.g__Serratia.s__marcescens" 0 0 0.11 0.06 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhodospirillales.f__Acetobacteraceae.g__Acidocella.s__.1" 0.01 0.02 0.28 0.13 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Streptomycetaceae.g__Streptomyces.s__.24" 0 0.01 0.04 0.07 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Nocardiaceae.g__Rhodococcus.s__.1" 0 0 0.03 0.02 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.59" 0 0 0.08 0.04 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Sphingobium.s__.6" 0 0.01 0.09 0.07 +"k__Bacteria.p__Bacteroidetes.c__Sphingobacteriia.o__Sphingobacteriales.f__Sphingobacteriaceae.g__Pedobacter.s__.8" 0 0.01 0.1 0.06 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Planococcaceae.g__Sporosarcina.s__.3" 0 0.01 0.07 0.03 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Comamonadaceae.g__Comamonas.s__.1" 0 0 0.08 0.05 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Streptomycetaceae.g__Streptomyces.s__.25" 0.01 0.01 0.08 0.06 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Frankiaceae.g__Kaistibacter.s__ginsenosidimutans" 0 0 0.15 0.05 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Streptomycetaceae.g__Streptomyces.s__.26" 0 0 0.07 0.04 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Methylobacteriaceae.g__Methylobacterium.s__.3" 0 0 0.02 0.07 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Caulobacterales.f__Caulobacteraceae.g__Mycoplana.s__.1" 0 0 0.03 0.01 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Lactobacillales.f__Carnobacteriaceae.g__Granulicatella.s__.1" 0 0 0.03 0.03 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Pseudonocardiaceae.g__Pseudonocardia.s__.9" 0 0 0.04 0.05 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Methylobacteriaceae.g__Methylobacterium.s__.4" 0 0 0.03 0.03 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Microbacteriaceae.g__Microbacterium.s__.4" 0 0 0.02 0.02 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Paenibacillaceae.g__Paenibacillus.s__chondroitinus.1" 0 0 0.07 0.04 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.60" 0 0 0.06 0.07 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Oxalobacteraceae.g__Janthinobacterium.s__.7" 0 0 0.01 0 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__.44" 0 0 0.12 0.09 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhodospirillales.f__Rhodospirillaceae.g__Telmatospirillum.s__.1" 0 0 0.07 0.04 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Planococcaceae.g__Lysinibacillus.s__boronitolerans" 0 0 0.03 0.02 +"k__Bacteria.p__Cyanobacteria.c__Nostocophycideae.o__Nostocales.f__Nostocaceae.g__Nostoc.s__.2" 0 0 0.02 0.01 +"k__Bacteria.p__Bacteroidetes.c__Bacteroidia.o__Bacteroidales.f__Porphyromonadaceae.g__Paludibacter.s__.2" 0 0 0.11 0.02 +"k__Bacteria.p__Bacteroidetes.c__Flavobacteriia.o__Flavobacteriales.f__Flavobacteriaceae.g__Flavobacterium.s__.36" 0 0 0.03 0.03 +"k__Bacteria.p__Bacteroidetes.c__Flavobacteriia.o__Flavobacteriales.f__Flavobacteriaceae.g__Flavobacterium.s__.37" 0.01 0 0.05 0.05 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Xanthobacteraceae.g__Labrys.s__" 0 0 0.07 0.08 +"k__Bacteria.p__Bacteroidetes.c__Flavobacteriia.o__Flavobacteriales.f__Flavobacteriaceae.g__Flavobacterium.s__.38" 0 0 0.04 0.1 +"k__Bacteria.p__Bacteroidetes.c__.Saprospirae..o__.Saprospirales..f__Chitinophagaceae.g__Segetibacter.s__.14" 0 0 0.03 0.06 +"k__Bacteria.p__Bacteroidetes.c__.Saprospirae..o__.Saprospirales..f__Chitinophagaceae.g__Segetibacter.s__.15" 0 0 0.09 0.03 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Kaistobacter.s__.20" 0.01 0 0.07 0.01 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Rhodocyclales.f__Rhodocyclaceae.g__Dechloromonas.s__.2" 0 0 0.08 0.06 +"k__Bacteria.p__Proteobacteria.c__Deltaproteobacteria.o__Myxococcales.f__Nannocystaceae.g__Plesiocystis.s__.1" 0 0 0.08 0.04 +"k__Bacteria.p__Firmicutes.c__Clostridia.o__Clostridiales.f__Clostridiaceae.g__Clostridium.s__.15" 0 0.02 0.1 0.04 +"k__Bacteria.p__Nitrospirae.c__Nitrospira.o__Nitrospirales.f__FW.g__4.29.s__.1" 0 0 0.02 0.08 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.88" 0 0.01 0.03 0.07 +"k__Bacteria.p__Bacteroidetes.c__.Saprospirae..o__.Saprospirales..f__Chitinophagaceae.g__Flavisolibacter.s__.28" 0 0.01 0.01 0.03 +"k__Bacteria.p__Verrucomicrobia.c__.Spartobacteria..o__.Chthoniobacterales..f__.Chthoniobacteraceae..g__DA101.s__.43" 0 0 0.04 0.03 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Sphingobium.s__.7" 0 0 0.04 0.06 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Novosphingobium.s__.10" 0 0.01 0.06 0.05 +"k__Bacteria.p__Actinobacteria.c__Rubrobacteria.o__Rubrobacterales.f__Rubrobacteraceae.g__Rubrobacter.s__.20" 0.96 0.98 0.99 0.62 +"k__Bacteria.p__Verrucomicrobia.c__.Spartobacteria..o__.Chthoniobacterales..f__.Chthoniobacteraceae..g__DA101.s__.44" 0 0 0 0.03 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Caulobacterales.f__Caulobacteraceae.g__Mycoplana.s__.2" 0 0.01 0.08 0.09 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhodospirillales.f__Acetobacteraceae.g__Roseococcus.s__" 0 0 0.18 0.04 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Bradyrhizobiaceae.g__Bradyrhizobium.s__.8" 0 0 0.01 0.05 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Sphingobium.s__.8" 0 0 0.05 0.05 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Kaistobacter.s__.21" 0 0.01 0.07 0.03 +"k__Bacteria.p__Bacteroidetes.c__.Saprospirae..o__.Saprospirales..f__Chitinophagaceae.g__Flavisolibacter.s__.29" 0 0.01 0.06 0.07 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Devosia.s__.19" 0 0.01 0.03 0.03 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Streptomycetaceae.g__Amycolatopsis.s__coloradensis" 0 0 0.02 0.09 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__.45" 0 0 0.1 0.04 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Enterobacteriales.f__Enterobacteriaceae.g__Ewingella.s__americana" 0 0.01 0.06 0.03 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Streptomycetaceae.g__Streptomyces.s__.27" 0 0 0.05 0.06 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Pedomicrobium.s__.6" 0 0 0.06 0.04 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Nocardioidaceae.g__Kribbella.s__.2" 0 0.01 0.06 0.05 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Rhodocyclales.f__Rhodocyclaceae.g__Propionivibrio.s__.1" 0 0 0.07 0.05 +"k__Bacteria.p__Bacteroidetes.c__Sphingobacteriia.o__Sphingobacteriales.f__Sphingobacteriaceae.g__Pedobacter.s__.9" 0 0 0.02 0.05 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Comamonadaceae.g__Polaromonas.s__.4" 0 0 0.06 0.09 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Sphingomonas.s__wittichii.8" 0 0 0.01 0.06 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__.46" 0 0 0.04 0.04 +"k__Bacteria.p__Cyanobacteria.c__Oscillatoriophycideae.o__Oscillatoriales.f__Phormidiaceae.g__Phormidium.s__.4" 0.01 0.02 0.17 0.08 +"k__Bacteria.p__Acidobacteria.c__Acidobacteriia.o__Acidobacteriales.f__Koribacteraceae.g__Candidatus.Koribacter.s__.23" 0 0 0.13 0.08 +"k__Bacteria.p__Bacteroidetes.c__.Saprospirae..o__.Saprospirales..f__Chitinophagaceae.g__Segetibacter.s__.16" 0 0 0.01 0.07 +"k__Bacteria.p__Cyanobacteria.c__Oscillatoriophycideae.o__Oscillatoriales.f__Phormidiaceae.g__Phormidium.s__.5" 0 0 0.06 0.03 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Pseudonocardiaceae.g__Actinomycetospora.s__.2" 0 0 0.01 0.03 +"k__Bacteria.p__Bacteroidetes.c__.Saprospirae..o__.Saprospirales..f__Chitinophagaceae.g__Segetibacter.s__.17" 0 0 0.01 0.02 +"k__Bacteria.p__Bacteroidetes.c__.Saprospirae..o__.Saprospirales..f__Chitinophagaceae.g__Segetibacter.s__.18" 0 0 0.02 0.06 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Mycobacteriaceae.g__Mycobacterium.s__.16" 0 0 0.01 0.07 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Xanthomonadales.f__Xanthomonadaceae.g__Lysobacter.s__.3" 0 0 0.07 0 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Microbacteriaceae.g__Agromyces.s__.5" 0 0 0.02 0.03 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Comamonadaceae.g__Rubrivivax.s__.4" 0 0 0.06 0.02 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Devosia.s__.20" 0 0 0.01 0.03 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.61" 0.03 0.1 0.26 0.11 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Kaistobacter.s__.22" 0 0 0.05 0.02 +"k__Bacteria.p__Bacteroidetes.c__Cytophagia.o__Cytophagales.f__Cytophagaceae.g__Adhaeribacter.s__.14" 0 0 0.07 0.09 +"k__Bacteria.p__Acidobacteria.c__Acidobacteriia.o__Acidobacteriales.f__Koribacteraceae.g__Candidatus.Koribacter.s__versatilis.1" 0 0 0 0 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Methylobacteriaceae.g__Methylobacterium.s__.5" 0 0 0.14 0.06 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.62" 0.01 0.01 0.16 0.12 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Streptomycetaceae.g__Streptomyces.s__.28" 0 0 0.01 0.05 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Kaistobacter.s__.23" 0.57 0.59 0.81 0.34 +"k__Bacteria.p__Actinobacteria.c__Thermoleophilia.o__Solirubrobacterales.f__Patulibacteraceae.g__Patulibacter.s__" 0 0 0.1 0.03 +"k__Bacteria.p__Acidobacteria.c__Acidobacteriia.o__Acidobacteriales.f__Koribacteraceae.g__Candidatus.Koribacter.s__.24" 0.01 0.04 0.21 0.05 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Legionellales.f__Coxiellaceae.g__Aquicella.s__.8" 0 0 0.07 0.06 +"k__Bacteria.p__Bacteroidetes.c__.Saprospirae..o__.Saprospirales..f__Chitinophagaceae.g__Flavisolibacter.s__.30" 0.02 0.02 0.07 0.09 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.63" 0.01 0.04 0.22 0.21 +"k__Bacteria.p__Bacteroidetes.c__Cytophagia.o__Cytophagales.f__Cytophagaceae.g__Adhaeribacter.s__.15" 0 0 0.01 0.01 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Paenibacillaceae.g__Paenibacillus.s__.18" 0 0 0.06 0.04 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.89" 0 0.01 0.25 0.08 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Xanthomonadales.f__Sinobacteraceae.g__Steroidobacter.s__.10" 0 0 0.06 0.02 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Hyphomicrobium.s__.7" 0 0 0.08 0.04 +"k__Bacteria.p__Bacteroidetes.c__Flavobacteriia.o__Flavobacteriales.f__Flavobacteriaceae.g__Flavobacterium.s__.39" 0 0 0.04 0.06 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Methylobacteriaceae.g__Methylobacterium.s__adhaesivum.2" 0 0 0.02 0.03 +"k__Bacteria.p__Acidobacteria.c__Acidobacteriia.o__Acidobacteriales.f__Koribacteraceae.g__Candidatus.Koribacter.s__.25" 0.01 0.05 0.29 0.25 +"k__Bacteria.p__Bacteroidetes.c__Bacteroidia.o__Bacteroidales.f__Porphyromonadaceae.g__Porphyromonas.s__endodontalis" 0 0 0.12 0.02 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Sporichthyaceae.g__Sporichthya.s__" 0 0.01 0.07 0.05 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__.47" 0 0.01 0.08 0.05 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Pseudonocardiaceae.g__Pseudonocardia.s__.10" 0 0 0.03 0 +"k__Bacteria.p__Verrucomicrobia.c__.Spartobacteria..o__.Chthoniobacterales..f__.Chthoniobacteraceae..g__Chthoniobacter.s__.2" 0 0.01 0.07 0.02 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Pseudonocardiaceae.g__Pseudonocardia.s__.11" 0 0 0.03 0.07 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Rhodocyclales.f__Rhodocyclaceae.g__Uliginosibacterium.s__.1" 0 0 0.09 0.1 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Devosia.s__.21" 0 0 0.02 0.03 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhodospirillales.f__Rhodospirillaceae.g__Telmatospirillum.s__.2" 0 0 0.03 0.06 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Kaistobacter.s__.24" 0 0 0.01 0.01 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Burkholderiaceae.g__Burkholderia.s__tuberum" 0 0 0 0.08 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.90" 0 0 0 0.06 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Paenibacillaceae.g__Paenibacillus.s__.19" 0 0 0.08 0.03 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Rhizobiaceae.g__Agrobacterium.s__.10" 0 0 0.03 0.04 +"k__Bacteria.p__Bacteroidetes.c__.Saprospirae..o__.Saprospirales..f__Chitinophagaceae.g__Flavisolibacter.s__.31" 0 0 0.2 0.15 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Streptomycetaceae.g__Streptomyces.s__.29" 0 0.01 0.13 0.08 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.91" 0 0 0.09 0.09 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Xanthomonadales.f__Xanthomonadaceae.g__Dokdonella.s__.4" 0 0 0.01 0.03 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Pseudonocardiaceae.g__Saccharopolyspora.s__" 0 0 0.07 0.06 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Geodermatophilaceae.g__Geodermatophilus.s__.4" 0 0.06 0.35 0.03 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Streptomycetaceae.g__Streptacidiphilus.s__.1" 0 0 0.07 0.1 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Micromonosporaceae.g__Longispora.s__fulva" 0 0 0.01 0.03 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Caulobacterales.f__Caulobacteraceae.g__Phenylobacterium.s__.8" 0 0.01 0.16 0.07 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Paenibacillaceae.g__Paenibacillus.s__.20" 0 0 0.06 0.03 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Kaistobacter.s__.25" 0 0 0.02 0.05 +"k__Bacteria.p__Cyanobacteria.c__Chloroplast.o__Chlorophyta.f__Trebouxiophyceae.g__Coccomyxa.s__solorinae.saccatae" 0 0 0.05 0.04 +"k__Bacteria.p__Proteobacteria.c__Deltaproteobacteria.o__Myxococcales.f__Haliangiaceae.g__Haliangium.s__.1" 0 0 0.02 0.04 +"k__Bacteria.p__Proteobacteria.c__Deltaproteobacteria.o__Desulfuromonadales.f__Geobacteraceae.g__Geobacter.s__.13" 0 0 0.07 0.07 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Legionellales.f__Legionellaceae.g__Legionella.s__pneumophila" 0 0 0.04 0.07 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Geodermatophilaceae.g__Geodermatophilus.s__obscurus.1" 0 0.01 0.14 0.25 +"k__Bacteria.p__Proteobacteria.c__Deltaproteobacteria.o__Bdellovibrionales.f__Bdellovibrionaceae.g__Bdellovibrio.s__.14" 0 0.01 0.1 0.07 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Comamonadaceae.g__Ramlibacter.s__.3" 0 0 0.08 0.04 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Phyllobacteriaceae.g__Aminobacter.s__" 0 0 0.04 0.07 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Micrococcaceae.g__Arthrobacter.s__.3" 0 0 0.1 0.02 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Rhizobiaceae.g__Rhizobium.s__.1" 0 0 0.02 0.02 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Gallionellales.f__Gallionellaceae.g__Gallionella.s__.3" 0 0 0.06 0.03 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.92" 0 0 0.03 0.05 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.93" 0 0 0.03 0.03 +"k__Bacteria.p__Firmicutes.c__Clostridia.o__Clostridiales.f__Clostridiaceae.g__Alkaliphilus.s__transvaalensis" 0 0 0.08 0.06 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Legionellales.f__Legionellaceae.g__Legionella.s__.6" 0 0.01 0.14 0.05 +"k__Bacteria.p__Verrucomicrobia.c__.Spartobacteria..o__.Chthoniobacterales..f__.Chthoniobacteraceae..g__DA101.s__.45" 0.01 0 0.08 0.02 +"k__Bacteria.p__Bacteroidetes.c__.Saprospirae..o__.Saprospirales..f__Chitinophagaceae.g__Flavisolibacter.s__.32" 0.01 0.01 0.02 0.08 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Micrococcaceae.g__Arthrobacter.s__.4" 0 0 0.04 0.04 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Legionellales.f__Coxiellaceae.g__Aquicella.s__.9" 0 0 0 0.02 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Propionibacteriaceae.g__Propionibacterium.s__acnes" 0 0 0.07 0.01 +"k__Bacteria.p__Bacteroidetes.c__Flavobacteriia.o__Flavobacteriales.f__.Weeksellaceae..g__Elizabethkingia.s__meningoseptica" 0 0 0.04 0.1 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__firmus.1" 0 0 0.03 0.05 +"k__Bacteria.p__Bacteroidetes.c__Sphingobacteriia.o__Sphingobacteriales.f__Sphingobacteriaceae.g__Pedobacter.s__.10" 0 0 0.04 0.07 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__.48" 0 0.01 0.12 0.01 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.94" 0 0 0.14 0.09 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Streptomycetaceae.g__Streptomyces.s__.30" 0 0 0 0.03 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Rhodocyclales.f__Rhodocyclaceae.g__Dechloromonas.s__.3" 0 0 0.07 0.06 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.95" 0.01 0.03 0.1 0.19 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Comamonadaceae.g__Rubrivivax.s__.5" 0 0 0.04 0.01 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Comamonadaceae.g__Methylibium.s__.8" 0 0 0.01 0.08 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Xanthomonadales.f__Xanthomonadaceae.g__Dokdonella.s__.5" 0 0 0.06 0.04 +"k__Bacteria.p__Bacteroidetes.c__.Saprospirae..o__.Saprospirales..f__Chitinophagaceae.g__Flavisolibacter.s__.33" 0 0 0.09 0.04 +"k__Bacteria.p__Proteobacteria.c__Deltaproteobacteria.o__Bdellovibrionales.f__Bdellovibrionaceae.g__Bdellovibrio.s__.15" 0 0.02 0.17 0.07 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Microbacteriaceae.g__Agromyces.s__.6" 0 0 0.06 0.04 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.96" 0 0 0.23 0.05 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Caulobacterales.f__Caulobacteraceae.g__Caulobacter.s__henricii" 0 0 0.02 0.04 +"k__Bacteria.p__Actinobacteria.c__Rubrobacteria.o__Rubrobacterales.f__Rubrobacteraceae.g__Rubrobacter.s__.21" 0 0.01 0.07 0.04 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Devosia.s__.22" 0 0 0.03 0.04 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Devosia.s__.23" 0 0 0.02 0.04 +"k__Bacteria.p__Bacteroidetes.c__Cytophagia.o__Cytophagales.f__.Amoebophilaceae..g__Candidatus.Amoebophilus.s__" 0 0 0.06 0.03 +"k__Bacteria.p__Firmicutes.c__Clostridia.o__Clostridiales.f__Clostridiaceae.g__Caloramator.s__" 0 0 0.08 0.05 +"k__Bacteria.p__Bacteroidetes.c__Bacteroidia.o__Bacteroidales.f__Porphyromonadaceae.g__Paludibacter.s__.3" 0 0 0.09 0.03 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.97" 0 0 0.02 0.11 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__cereus.4" 0 0 0 0.05 +"k__Bacteria.p__Actinobacteria.c__Rubrobacteria.o__Rubrobacterales.f__Rubrobacteraceae.g__Rubrobacter.s__.22" 0.58 0.71 0.92 0.24 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.98" 0 0.01 0.09 0.08 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__.49" 0 0 0 0.06 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.64" 0 0 0.05 0.1 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.65" 0 0 0.04 0.03 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Rhodobiaceae.g__Afifella.s__.13" 0 0.01 0.2 0.04 +"k__Bacteria.p__Acidobacteria.c__Acidobacteriia.o__Acidobacteriales.f__Koribacteraceae.g__Candidatus.Koribacter.s__.26" 0 0 0.04 0.04 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Rhizobiaceae.g__Rhizobium.s__leguminosarum.1" 0 0 0.06 0.04 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Hyphomicrobium.s__.8" 0.03 0.03 0.1 0.06 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.66" 0.13 0.21 0.49 0.14 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Lactobacillales.f__Lactobacillaceae.g__Lactobacillus.s__iners" 0 0.01 0.1 0.03 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.67" 0 0 0.06 0.05 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Lactobacillales.f__Carnobacteriaceae.g__Granulicatella.s__.2" 0 0 0.1 0.06 +"k__Bacteria.p__Firmicutes.c__Clostridia.o__Clostridiales.f__Peptococcaceae.g__Desulfosporosinus.s__meridiei.1" 0 0 0.1 0.04 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhodobacterales.f__Rhodobacteraceae.g__Rubellimicrobium.s__.5" 0 0 0.01 0.05 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Sphingomonas.s__wittichii.9" 0 0 0.08 0.02 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__.50" 0 0 0.18 0.05 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Alicyclobacillaceae.g__Alicyclobacillus.s__.6" 0 0 0.01 0.03 +"k__Bacteria.p__Verrucomicrobia.c__.Spartobacteria..o__.Chthoniobacterales..f__.Chthoniobacteraceae..g__DA101.s__.46" 0 0.01 0.09 0.06 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Nocardioidaceae.g__Nocardioides.s__dilutus" 0 0 0.06 0.05 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Planococcaceae.g__Planococcus.s__maritimus" 0 0.01 0.14 0.03 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Comamonadaceae.g__Methylibium.s__.9" 0 0 0.11 0.02 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Phyllobacteriaceae.g__Aminobacter.s__.1" 0 0 0.03 0.03 +"k__Bacteria.p__Verrucomicrobia.c__.Spartobacteria..o__.Chthoniobacterales..f__.Chthoniobacteraceae..g__DA101.s__.47" 0 0.04 0.44 0.07 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Planococcaceae.g__Sporosarcina.s__.4" 0 0 0.04 0.04 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.99" 0 0 0.01 0.03 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Sphingobium.s__.9" 0 0 0.12 0.06 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.68" 0 0 0.13 0.07 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__.51" 0 0 0.07 0.06 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__.52" 0 0 0.1 0.06 +"k__Bacteria.p__Firmicutes.c__Clostridia.o__Clostridiales.f__Clostridiaceae.g__Clostridium.s__perfringens" 0 0 0.08 0.05 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Comamonadaceae.g__Xylophilus.s__ampelinus" 0 0 0.02 0.02 +"k__Bacteria.p__Bacteroidetes.c__Flavobacteriia.o__Flavobacteriales.f__Flavobacteriaceae.g__Flavobacterium.s__.40" 0 0 0.05 0.04 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.69" 0 0.01 0.17 0.05 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Legionellales.f__Legionellaceae.g__Legionella.s__.7" 0 0 0.1 0.09 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Streptomycetaceae.g__Streptomyces.s__.31" 0 0 0.11 0.03 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Comamonadaceae.g__Paucibacter.s__" 0 0 0.04 0.06 +"k__Bacteria.p__Proteobacteria.c__Deltaproteobacteria.o__Bdellovibrionales.f__Bdellovibrionaceae.g__Bdellovibrio.s__.16" 0 0 0.05 0.03 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__.53" 0 0 0.11 0.07 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Cellulomonadaceae.g__Cellulomonas.s__.1" 0 0 0.03 0.05 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.70" 0 0 0.08 0.07 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Nocardioidaceae.g__Nocardioides.s__.7" 0 0 0.04 0.03 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.71" 0.03 0.12 0.4 0.14 +"k__Bacteria.p__Bacteroidetes.c__Flavobacteriia.o__Flavobacteriales.f__Flavobacteriaceae.g__Flavobacterium.s__.41" 0 0.02 0.21 0.03 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Kaistobacter.s__.26" 0 0 0 0.03 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.100" 0 0.01 0.07 0.02 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Sphingobium.s__.10" 0 0 0.09 0.08 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Blastomonas.s__" 0 0 0.06 0.03 +"k__Bacteria.p__Bacteroidetes.c__Sphingobacteriia.o__Sphingobacteriales.f__Sphingobacteriaceae.g__Pedobacter.s__.11" 0 0 0.11 0.02 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.72" 0 0 0.01 0.11 +"k__Bacteria.p__Bacteroidetes.c__Flavobacteriia.o__Flavobacteriales.f__.Weeksellaceae..g__Chryseobacterium.s__.7" 0 0 0.07 0.06 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Lactobacillales.f__Streptococcaceae.g__Streptococcus.s__.5" 0 0 0.06 0.03 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Rhizobiaceae.g__Agrobacterium.s__.11" 0 0 0.04 0.04 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Comamonadaceae.g__Mitsuaria.s__chitosanitabida" 0 0 0.05 0.02 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Comamonadaceae.g__Rubrivivax.s__.6" 0 0.01 0.07 0.04 +"k__Bacteria.p__Acidobacteria.c__Acidobacteriia.o__Acidobacteriales.f__Koribacteraceae.g__Candidatus.Koribacter.s__versatilis.2" 0.03 0.14 0.24 0.07 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.73" 0 0 0.04 0.05 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Pedomicrobium.s__.7" 0 0 0.01 0.05 +"k__Bacteria.p__Nitrospirae.c__Nitrospira.o__Nitrospirales.f__Nitrospiraceae.g__Nitrospira.s__.6" 0 0 0.06 0.01 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Streptomycetaceae.g__Streptomyces.s__.32" 0 0 0 0.03 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Comamonadaceae.g__Methylibium.s__.10" 0 0.01 0.1 0.02 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Rhodocyclales.f__Rhodocyclaceae.g__Dechloromonas.s__.4" 0 0 0.05 0.02 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.74" 0.04 0.16 0.68 0.25 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.101" 0 0 0.03 0.07 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Paenibacillaceae.g__Paenibacillus.s__.21" 0.01 0.05 0.24 0.05 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.102" 0 0.01 0.03 0.04 +"k__Bacteria.p__Bacteroidetes.c__Cytophagia.o__Cytophagales.f__Cytophagaceae.g__Rhodocytophaga.s__.5" 0 0 0.05 0.04 +"k__Bacteria.p__Verrucomicrobia.c__.Spartobacteria..o__.Chthoniobacterales..f__.Chthoniobacteraceae..g__DA101.s__.48" 0 0 0.09 0.02 +"k__Bacteria.p__Verrucomicrobia.c__.Spartobacteria..o__.Chthoniobacterales..f__.Chthoniobacteraceae..g__DA101.s__.49" 0 0 0.09 0.04 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Oxalobacteraceae.g__Cupriavidus.s__.3" 0 0 0.04 0.05 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Streptomycetaceae.g__Streptomyces.s__.33" 0 0 0.04 0.06 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Legionellales.f__Coxiellaceae.g__Aquicella.s__.10" 0.03 0.06 0.11 0.12 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Pseudomonadales.f__Pseudomonadaceae.g__Pseudomonas.s__mendocina" 0 0 0.06 0.07 +"k__Bacteria.p__Bacteroidetes.c__Flavobacteriia.o__Flavobacteriales.f__Flavobacteriaceae.g__Flavobacterium.s__.42" 0 0.01 0.09 0.06 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Sphingomonas.s__.23" 0 0 0.09 0.04 +"k__Bacteria.p__Bacteroidetes.c__Cytophagia.o__Cytophagales.f__Cytophagaceae.g__Hymenobacter.s__.8" 0 0 0 0.09 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Paenibacillaceae.g__Paenibacillus.s__.22" 0.01 0.03 0.26 0.03 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Burkholderiaceae.g__Burkholderia.s__glathei.1" 0.06 0.11 0.19 0.22 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Corynebacteriaceae.g__Corynebacterium.s__" 0 0 0.04 0.06 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Rhodobiaceae.g__Afifella.s__.14" 0.01 0.03 0.33 0.03 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Lactobacillales.f__Streptococcaceae.g__Streptococcus.s__.6" 0 0 0.07 0.05 +"k__Bacteria.p__Proteobacteria.c__Deltaproteobacteria.o__.Entotheonellales..f__.Entotheonellaceae..g__Candidatus.Entotheonella.s__.2" 0 0.01 0.04 0.06 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Xanthomonadales.f__Xanthomonadaceae.g__Stenotrophomonas.s__" 0 0.01 0.04 0.04 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__.54" 0 0 0.08 0.05 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.103" 0 0 0.03 0.09 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Lactobacillales.f__Lactobacillaceae.g__Lactobacillus.s__" 0 0 0.05 0.03 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Devosia.s__.24" 0 0 0.18 0.07 +"k__Bacteria.p__Nitrospirae.c__Nitrospira.o__Nitrospirales.f__FW.g__4.29.s__.2" 0 0 0.02 0.05 +"k__Bacteria.p__Bacteroidetes.c__.Saprospirae..o__.Saprospirales..f__Chitinophagaceae.g__Chitinophaga.s__arvensicola" 0 0 0.01 0.04 +"k__Bacteria.p__Verrucomicrobia.c__.Spartobacteria..o__.Chthoniobacterales..f__.Chthoniobacteraceae..g__DA101.s__.50" 0 0 0.12 0.07 +"k__Bacteria.p__Verrucomicrobia.c__.Spartobacteria..o__.Chthoniobacterales..f__.Chthoniobacteraceae..g__DA101.s__.51" 0 0 0.05 0.06 +"k__Bacteria.p__Verrucomicrobia.c__.Spartobacteria..o__.Chthoniobacterales..f__.Chthoniobacteraceae..g__Ellin506.s__.1" 0 0 0.06 0.06 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Xanthomonadales.f__Xanthomonadaceae.g__Lysobacter.s__.4" 0 0 0.13 0.05 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.104" 0 0 0.12 0.15 +"k__Bacteria.p__Cyanobacteria.c__Synechococcophycideae.o__Pseudanabaenales.f__Pseudanabaenaceae.g__Leptolyngbya.s__.1" 0 0 0.05 0.11 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Xanthobacteraceae.g__Labrys.s__.1" 0 0 0.09 0.03 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Nocardiaceae.g__Rhodococcus.s__.2" 0 0 0.09 0.05 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Xanthomonadales.f__Xanthomonadaceae.g__Pseudoxanthomonas.s__" 0 0 0.05 0.05 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Methylobacteriaceae.g__Methylobacterium.s__.6" 0 0 0.01 0.02 +"k__Bacteria.p__Bacteroidetes.c__Sphingobacteriia.o__Sphingobacteriales.f__Sphingobacteriaceae.g__Pedobacter.s__.12" 0 0 0.16 0.07 +"k__Bacteria.p__Verrucomicrobia.c__.Spartobacteria..o__.Chthoniobacterales..f__.Chthoniobacteraceae..g__Chthoniobacter.s__.3" 0.01 0.02 0.29 0.06 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Novosphingobium.s__.11" 0 0 0.03 0.04 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Comamonadaceae.g__Ramlibacter.s__.4" 0 0 0.06 0.06 +"k__Bacteria.p__Proteobacteria.c__Deltaproteobacteria.o__Bdellovibrionales.f__Bdellovibrionaceae.g__Bdellovibrio.s__.17" 0 0 0.07 0.07 +"k__Bacteria.p__Verrucomicrobia.c__Opitutae.o__Opitutales.f__Opitutaceae.g__Opitutus.s__.6" 0 0 0.03 0.05 +"k__Bacteria.p__Bacteroidetes.c__Flavobacteriia.o__Flavobacteriales.f__.Weeksellaceae..g__Chryseobacterium.s__.8" 0 0 0.06 0.09 +"k__Bacteria.p__Bacteroidetes.c__.Saprospirae..o__.Saprospirales..f__Chitinophagaceae.g__Segetibacter.s__.19" 0 0 0 0.03 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Rhizobiaceae.g__Agrobacterium.s__.12" 0 0 0.05 0.07 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Comamonadaceae.g__Limnohabitans.s__.2" 0 0 0.05 0.05 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Sphingobium.s__.11" 0 0.01 0.1 0.05 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Nocardiaceae.g__Rhodococcus.s__.3" 0 0 0.04 0.04 +"k__Bacteria.p__Proteobacteria.c__Deltaproteobacteria.o__Desulfuromonadales.f__Geobacteraceae.g__Geobacter.s__.14" 0 0 0.02 0.06 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Sphingomonas.s__.24" 0.01 0.02 0.22 0.05 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Caulobacterales.f__Caulobacteraceae.g__Caulobacter.s__.2" 0 0.01 0.02 0.02 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Comamonadaceae.g__Methylibium.s__.11" 0 0 0.04 0.06 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Mycobacteriaceae.g__Mycobacterium.s__.17" 0 0 0.06 0.07 +"k__Bacteria.p__Armatimonadetes.c__Chthonomonadetes.o__Chthonomonadales.f__Chthonomonadaceae.g__Chthonomonas.s__" 0 0 0.03 0.06 +"k__Bacteria.p__Bacteroidetes.c__Cytophagia.o__Cytophagales.f__Cytophagaceae.g__Spirosoma.s__.3" 0 0 0.12 0.04 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Comamonadaceae.g__Hydrogenophaga.s__.2" 0 0 0.03 0.06 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Pseudomonadales.f__Pseudomonadaceae.g__Pseudomonas.s__stutzeri.1" 0 0 0.01 0.04 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Mycobacteriaceae.g__Mycobacterium.s__.18" 0 0 0.02 0.06 +"k__Bacteria.p__Nitrospirae.c__Nitrospira.o__Nitrospirales.f__FW.g__4.29.s__.3" 0 0 0.03 0.04 +"k__Bacteria.p__Verrucomicrobia.c__.Spartobacteria..o__.Chthoniobacterales..f__.Chthoniobacteraceae..g__DA101.s__.52" 0 0 0.01 0.01 +"k__Bacteria.p__Bacteroidetes.c__.Saprospirae..o__.Saprospirales..f__Chitinophagaceae.g__Flavisolibacter.s__.34" 0 0 0.01 0.03 +"k__Bacteria.p__Verrucomicrobia.c__.Pedosphaerae..o__.Pedosphaerales..f__.Pedosphaeraceae..g__Pedosphaera.s__.1" 0 0 0.16 0.1 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Mycobacteriaceae.g__Mycobacterium.s__.19" 0 0.01 0.06 0.08 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Rhodobiaceae.g__Afifella.s__.15" 0 0 0.03 0.05 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Mycobacteriaceae.g__Mycobacterium.s__.20" 0 0 0 0.03 +"k__Bacteria.p__Bacteroidetes.c__.Saprospirae..o__.Saprospirales..f__Chitinophagaceae.g__Flavisolibacter.s__.35" 0 0.01 0.26 0.07 +"k__Bacteria.p__Bacteroidetes.c__.Saprospirae..o__.Saprospirales..f__Chitinophagaceae.g__Segetibacter.s__.20" 0 0 0 0 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Alteromonadales.f__Alteromonadaceae.g__Cellvibrio.s__.3" 0 0 0.05 0.05 +"k__Bacteria.p__Acidobacteria.c__Acidobacteriia.o__Acidobacteriales.f__Acidobacteriaceae.g__Edaphobacter.s__modestum" 0 0 0 0.13 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Kaistobacter.s__.27" 0 0.02 0.18 0.03 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Sphingobium.s__xenophagum" 0 0 0.13 0.03 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Comamonadaceae.g__Ramlibacter.s__.5" 0 0 0.01 0.04 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Cellulomonadaceae.g__Actinotalea.s__" 0 0 0.05 0.06 +"k__Bacteria.p__Proteobacteria.c__Deltaproteobacteria.o__Desulfuromonadales.f__Geobacteraceae.g__Geobacter.s__.15" 0 0.01 0.03 0.05 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Pseudomonadales.f__Pseudomonadaceae.g__Pseudomonas.s__.13" 0 0 0.18 0.04 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Xanthobacteraceae.g__Labrys.s__.2" 0 0 0.05 0.06 +"k__Bacteria.p__Actinobacteria.c__Rubrobacteria.o__Rubrobacterales.f__Rubrobacteraceae.g__Rubrobacter.s__.23" 0 0 0.04 0.1 +"k__Bacteria.p__Bacteroidetes.c__Flavobacteriia.o__Flavobacteriales.f__Flavobacteriaceae.g__Flavobacterium.s__.43" 0 0 0.03 0.05 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Oxalobacteraceae.g__Janthinobacterium.s__.8" 0 0 0.03 0.07 +"k__Bacteria.p__Acidobacteria.c__Acidobacteriia.o__Acidobacteriales.f__Acidobacteriaceae.g__Edaphobacter.s__modestum.1" 0 0 0.02 0.07 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Devosia.s__.25" 0 0 0 0.05 +"k__Bacteria.p__Tenericutes.c__Mollicutes.o__Anaeroplasmatales.f__Anaeroplasmataceae.g__Asteroleplasma.s__.4" 0 0 0 0.08 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Comamonadaceae.g__Ramlibacter.s__.6" 0 0 0.04 0.06 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Alicyclobacillaceae.g__Alicyclobacillus.s__.7" 0 0 0.03 0.07 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhodospirillales.f__Rhodospirillaceae.g__Telmatospirillum.s__.3" 0 0 0.11 0.06 +"k__Bacteria.p__Bacteroidetes.c__.Saprospirae..o__.Saprospirales..f__Chitinophagaceae.g__Flavisolibacter.s__.36" 0 0 0 0.06 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Alicyclobacillaceae.g__Alicyclobacillus.s__.8" 0.01 0 0.21 0.07 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__.55" 0 0 0.02 0.05 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Devosia.s__.26" 0 0 0.03 0.08 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.75" 0.17 0.21 0.59 0.25 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Burkholderiaceae.g__Burkholderia.s__.16" 0 0 0.04 0.07 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Kaistobacter.s__.28" 0 0 0.05 0.03 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Alcaligenaceae.g__Achromobacter.s__" 0 0 0.11 0.05 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Pseudomonadales.f__Pseudomonadaceae.g__Pseudomonas.s__stutzeri.2" 0 0 0.01 0.06 +"k__Bacteria.p__Verrucomicrobia.c__.Spartobacteria..o__.Chthoniobacterales..f__.Chthoniobacteraceae..g__Candidatus.Xiphinematobacter.s__.4" 0 0 0.13 0.03 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.105" 0 0 0.02 0.05 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhodospirillales.f__Rhodospirillaceae.g__Skermanella.s__.5" 0 0 0.01 0.15 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhodospirillales.f__Acetobacteraceae.g__Acidisoma.s__" 0 0 0.01 0.06 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Pseudomonadales.f__Pseudomonadaceae.g__Pseudomonas.s__.14" 0 0 0.01 0.04 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Kineosporiaceae.g__Kineosporia.s__.1" 0 0 0.01 0.03 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Pseudonocardiaceae.g__Pseudonocardia.s__.12" 0 0 0 0.06 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.76" 0 0 0 0 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Pseudomonadales.f__Moraxellaceae.g__Acinetobacter.s__.4" 0 0 0.03 0.09 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Rhizobiaceae.g__Rhizobium.s__.2" 0 0 0.02 0.07 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Legionellales.f__Coxiellaceae.g__Aquicella.s__.11" 0 0 0.04 0.06 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Lactobacillales.f__Streptococcaceae.g__Streptococcus.s__.7" 0 0 0.04 0.09 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Streptomycetaceae.g__Kitasatospora.s__.1" 0 0 0.02 0.03 +"k__Bacteria.p__Nitrospirae.c__Nitrospira.o__Nitrospirales.f__.Thermodesulfovibrionaceae..g__GOUTA19.s__.1" 0 0 0.02 0.03 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.77" 0 0 0.01 0.06 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Nocardiaceae.g__Nocardia.s__.2" 0 0 0.02 0.06 +"k__Bacteria.p__Actinobacteria.c__Rubrobacteria.o__Rubrobacterales.f__Rubrobacteraceae.g__Rubrobacter.s__.24" 0.35 0.45 0.81 0.3 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Micromonosporaceae.g__Virgisporangium.s__ochraceum.3" 0 0 0.03 0.06 +"k__Bacteria.p__Actinobacteria.c__Rubrobacteria.o__Rubrobacterales.f__Rubrobacteraceae.g__Rubrobacter.s__.25" 0 0 0.06 0.05 +"k__Bacteria.p__Planctomycetes.c__Planctomycetia.o__Gemmatales.f__Gemmataceae.g__Gemmata.s__" 0 0 0.02 0.04 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.78" 0 0 0.04 0.07 +"k__Bacteria.p__Proteobacteria.c__Deltaproteobacteria.o__Bdellovibrionales.f__Bdellovibrionaceae.g__Bdellovibrio.s__.18" 0 0 0.01 0.03 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__.56" 0 0.01 0.15 0.02 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Rhodocyclales.f__Rhodocyclaceae.g__Zoogloea.s__.1" 0 0 0.01 0.05 +"k__Bacteria.p__Acidobacteria.c__Acidobacteriia.o__Acidobacteriales.f__Koribacteraceae.g__Candidatus.Koribacter.s__.27" 0.07 0.13 0.58 0.26 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Xanthomonadales.f__Sinobacteraceae.g__Hydrocarboniphaga.s__" 0 0 0.04 0.05 +"k__Bacteria.p__Bacteroidetes.c__Cytophagia.o__Cytophagales.f__Cytophagaceae.g__Pontibacter.s__" 0 0 0.07 0.04 +"k__Bacteria.p__Bacteroidetes.c__.Saprospirae..o__.Saprospirales..f__Chitinophagaceae.g__Chitinophaga.s__.2" 0 0 0.03 0.07 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Promicromonosporaceae.g__Cellulosimicrobium.s__" 0 0.01 0.01 0.04 +"k__Bacteria.p__Proteobacteria.c__Deltaproteobacteria.o__Myxococcales.f__Polyangiaceae.g__Sorangium.s__" 0 0 0.03 0.04 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Sphingomonas.s__.25" 0 0 0 0.02 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Kaistobacter.s__.29" 0 0 0.05 0.1 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Comamonadaceae.g__Rubrivivax.s__.7" 0 0 0.02 0.05 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Devosia.s__.27" 0 0 0.02 0.02 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Comamonadaceae.g__Limnohabitans.s__.3" 0 0 0.06 0.06 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Microbacteriaceae.g__Mycetocola.s__" 0 0.01 0.04 0.03 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.106" 0 0.01 0.08 0.06 +"k__Bacteria.p__Verrucomicrobia.c__.Spartobacteria..o__.Chthoniobacterales..f__.Chthoniobacteraceae..g__DA101.s__.53" 0 0 0.04 0.03 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Sphingomonas.s__.26" 0 0 0.05 0.04 +"k__Bacteria.p__Proteobacteria.c__Deltaproteobacteria.o__Desulfuromonadales.f__Geobacteraceae.g__Geobacter.s__.16" 0 0 0.04 0.09 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhodobacterales.f__Rhodobacteraceae.g__Rhodobacter.s__.1" 0 0.01 0.11 0.06 +"k__Bacteria.p__Firmicutes.c__Clostridia.o__Clostridiales.f__Veillonellaceae.g__Pelosinus.s__.3" 0 0 0.06 0.09 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.79" 0 0.05 0.41 0.12 +"k__Bacteria.p__Firmicutes.c__Clostridia.o__Clostridiales.f__Clostridiaceae.g__Clostridium.s__.16" 0 0 0.1 0.05 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Oxalobacteraceae.g__Massilia.s__haematophila" 0 0 0.02 0.02 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Micromonosporaceae.g__Actinoplanes.s__.3" 0 0 0.02 0.05 +"k__Bacteria.p__Proteobacteria.c__Deltaproteobacteria.o__Desulfuromonadales.f__Geobacteraceae.g__Geobacter.s__.17" 0 0 0.05 0.02 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Rhizobiaceae.g__Rhizobium.s__.3" 0 0.01 0.16 0.04 +"k__Bacteria.p__Proteobacteria.c__Deltaproteobacteria.o__Desulfuromonadales.f__Geobacteraceae.g__Geobacter.s__.18" 0.01 0.03 0.1 0.09 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Streptomycetaceae.g__Streptomyces.s__.34" 0 0.01 0.09 0.02 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Comamonadaceae.g__Ramlibacter.s__.7" 0 0 0 0.03 +"k__Bacteria.p__Bacteroidetes.c__Cytophagia.o__Cytophagales.f__Cytophagaceae.g__Hymenobacter.s__.9" 0 0 0.01 0.01 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Cellulomonadaceae.g__Demequina.s__.1" 0 0 0.03 0.08 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhodospirillales.f__Rhodospirillaceae.g__Skermanella.s__.6" 0 0 0 0.04 +"k__Bacteria.p__Proteobacteria.c__Deltaproteobacteria.o__Myxococcales.f__Polyangiaceae.g__Sorangium.s__.1" 0 0 0.01 0.06 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rickettsiales.f__mitochondria.g__Syntrichia.s__ruralis" 0 0 0 0.07 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.107" 0 0 0.1 0.09 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Xanthomonadales.f__Xanthomonadaceae.g__Rhodanobacter.s__lindaniclasticus" 0.01 0.02 0.2 0.05 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Planococcaceae.g__Sporosarcina.s__.5" 0.11 0.15 0.45 0.06 +"k__Bacteria.p__Proteobacteria.c__Deltaproteobacteria.o__Bdellovibrionales.f__Bdellovibrionaceae.g__Bdellovibrio.s__.19" 0 0 0.04 0.08 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Paenibacillaceae.g__Paenibacillus.s__.23" 0 0 0.04 0.04 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Sphingomonas.s__wittichii.10" 0 0.01 0.02 0.04 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Paenibacillaceae.g__Paenibacillus.s__.24" 0 0 0.05 0.05 +"k__Bacteria.p__Firmicutes.c__Clostridia.o__Clostridiales.f__Clostridiaceae.g__Clostridium.s__.17" 0 0 0.04 0.04 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Planococcaceae.g__Sporosarcina.s__.6" 0 0 0.03 0.03 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Novosphingobium.s__.12" 0 0 0.07 0.05 +"k__Bacteria.p__Nitrospirae.c__Nitrospira.o__Nitrospirales.f__Nitrospiraceae.g__JG37.AG.70.s__.1" 0 0 0.01 0.05 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Rhodocyclales.f__Rhodocyclaceae.g__Dok59.s__.1" 0 0 0.04 0.06 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Rhizobiaceae.g__Agrobacterium.s__.13" 0 0 0.01 0.01 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Burkholderiaceae.g__Burkholderia.s__.17" 0 0 0.01 0.04 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Streptomycetaceae.g__Streptomyces.s__.35" 0 0 0.01 0.07 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Planococcaceae.g__Planomicrobium.s__.5" 0 0 0.02 0.06 +"k__Bacteria.p__Acidobacteria.c__Holophagae.o__Holophagales.f__Holophagaceae.g__Geothrix.s__.2" 0 0 0.04 0.06 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Sphingomonas.s__wittichii.11" 0 0 0.12 0.04 +"k__Bacteria.p__Bacteroidetes.c__Cytophagia.o__Cytophagales.f__Cytophagaceae.g__Dyadobacter.s__.3" 0 0 0.11 0.04 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Lactobacillales.f__Streptococcaceae.g__Streptococcus.s__.8" 0 0 0.09 0.1 +"k__Bacteria.p__Bacteroidetes.c__Flavobacteriia.o__Flavobacteriales.f__Flavobacteriaceae.g__Flavobacterium.s__.44" 0 0 0.15 0.03 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Alicyclobacillaceae.g__Alicyclobacillus.s__.9" 0.01 0.02 0.21 0.07 +"k__Bacteria.p__Bacteroidetes.c__Flavobacteriia.o__Flavobacteriales.f__.Weeksellaceae..g__Chryseobacterium.s__.9" 0 0 0 0.06 +"k__Bacteria.p__Bacteroidetes.c__Cytophagia.o__Cytophagales.f__Cytophagaceae.g__Adhaeribacter.s__.16" 0 0 0.01 0.07 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.108" 0 0 0.04 0.04 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Comamonadaceae.g__Variovorax.s__paradoxus.3" 0.01 0.03 0.28 0.09 +"k__Bacteria.p__Proteobacteria.c__Deltaproteobacteria.o__Myxococcales.f__Myxococcaceae.g__Anaeromyxobacter.s__.3" 0 0 0.06 0.09 +"k__Bacteria.p__Bacteroidetes.c__Cytophagia.o__Cytophagales.f__Cytophagaceae.g__Hymenobacter.s__.10" 0 0 0.04 0.04 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Streptomycetaceae.g__Streptomyces.s__reticuliscabiei" 0 0 0.02 0.07 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Caulobacterales.f__Caulobacteraceae.g__Phenylobacterium.s__.9" 0 0 0.02 0.04 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Planococcaceae.g__Lysinibacillus.s__massiliensis" 0 0 0.01 0.07 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Devosia.s__.28" 0.01 0.01 0.03 0.05 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Alicyclobacillaceae.g__Alicyclobacillus.s__.10" 0 0.01 0.05 0.04 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Streptomycetaceae.g__Streptomyces.s__purpeofuscus" 0 0 0.02 0.03 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhodospirillales.f__Rhodospirillaceae.g__Skermanella.s__.7" 0 0 0.01 0.04 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Kaistobacter.s__.30" 0 0 0 0.06 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhodospirillales.f__Rhodospirillaceae.g__Skermanella.s__.8" 0 0 0.02 0.03 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Legionellales.f__Coxiellaceae.g__Aquicella.s__.12" 0 0.01 0.02 0.02 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.80" 0 0 0.06 0.09 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Planococcaceae.g__Lysinibacillus.s__boronitolerans.1" 0 0 0.03 0.05 +"k__Bacteria.p__Firmicutes.c__Clostridia.o__Clostridiales.f__Veillonellaceae.g__Veillonella.s__parvula" 0 0 0.02 0.03 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Oxalobacteraceae.g__Cupriavidus.s__.4" 0 0 0.01 0.06 +"k__Bacteria.p__Nitrospirae.c__Nitrospira.o__Nitrospirales.f__Nitrospiraceae.g__Nitrospira.s__.7" 0 0 0.05 0.1 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Microbacteriaceae.g__Microbacterium.s__.5" 0 0 0.01 0.09 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.109" 0 0 0 0.11 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Streptomycetaceae.g__Streptomyces.s__lanatus" 0 0 0.02 0.05 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Planococcaceae.g__Rummeliibacillus.s__" 0 0 0.03 0.03 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__.57" 0.4 0.46 0.98 0.15 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Rhizobiaceae.g__Rhizobium.s__.4" 0 0.02 0.05 0.06 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Microbacteriaceae.g__Microbacterium.s__.6" 0.03 0.04 0.14 0.06 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhodospirillales.f__Acetobacteraceae.g__Roseomonas.s__.1" 0 0 0.02 0.04 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.110" 0 0 0.03 0.03 +"k__Bacteria.p__Bacteroidetes.c__Sphingobacteriia.o__Sphingobacteriales.f__Sphingobacteriaceae.g__Pedobacter.s__.13" 0 0 0.05 0.03 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__.58" 0 0 0.04 0.05 +"k__Bacteria.p__Firmicutes.c__Clostridia.o__Clostridiales.f__Clostridiaceae.g__Caloramator.s__.1" 0 0 0.02 0.06 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.111" 0.04 0.03 0.18 0.3 +"k__Bacteria.p__Acidobacteria.c__Acidobacteriia.o__Acidobacteriales.f__Acidobacteriaceae.g__Edaphobacter.s__" 0.13 0.18 0.51 0.3 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.81" 0 0.02 0.07 0.06 +"k__Bacteria.p__Nitrospirae.c__Nitrospira.o__Nitrospirales.f__Nitrospiraceae.g__Nitrospira.s__.8" 0 0 0.01 0.02 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Xanthobacteraceae.g__Labrys.s__.3" 0 0 0.01 0.02 +"k__Bacteria.p__Proteobacteria.c__Deltaproteobacteria.o__Bdellovibrionales.f__Bdellovibrionaceae.g__Bdellovibrio.s__.20" 0 0 0.12 0.04 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Pseudonocardiaceae.g__Pseudonocardia.s__.13" 0 0 0.05 0.03 +"k__Bacteria.p__Bacteroidetes.c__Flavobacteriia.o__Flavobacteriales.f__Flavobacteriaceae.g__Flavobacterium.s__.45" 0 0 0.04 0.08 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.82" 0.02 0.07 0.2 0.26 +"k__Bacteria.p__Bacteroidetes.c__Sphingobacteriia.o__Sphingobacteriales.f__Sphingobacteriaceae.g__Pedobacter.s__.14" 0 0 0.04 0.06 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Bogoriellaceae.g__Georgenia.s__" 0 0 0.04 0.04 +"k__Bacteria.p__Spirochaetes.c__Spirochaetes.o__Spirochaetales.f__Spirochaetaceae.g__Spirochaeta.s__aurantia" 0 0.01 0.05 0.02 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.112" 0 0 0 0.04 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.113" 0 0.01 0 0.07 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Rhizobiaceae.g__Agrobacterium.s__.14" 0 0 0.05 0.02 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Devosia.s__.29" 0 0 0.03 0.08 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Comamonadaceae.g__Variovorax.s__paradoxus.4" 0.03 0.01 0.15 0.07 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Comamonadaceae.g__Polaromonas.s__.5" 0 0 0.16 0.08 +"k__Bacteria.p__Firmicutes.c__Clostridia.o__Clostridiales.f__Veillonellaceae.g__Pelosinus.s__.4" 0 0 0.01 0.1 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Pedomicrobium.s__.8" 0 0 0.13 0.03 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Xanthobacteraceae.g__Labrys.s__.4" 0 0.01 0.04 0.03 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Burkholderiaceae.g__Burkholderia.s__.18" 0 0 0.04 0.07 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Sphingomonas.s__wittichii.12" 0 0 0.09 0.07 +"k__Bacteria.p__Firmicutes.c__Clostridia.o__Clostridiales.f__Ruminococcaceae.g__Clostridium.s__hungatei" 0 0 0.09 0.06 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Microbacteriaceae.g__Frigoribacterium.s__" 0 0 0.05 0.03 +"k__Bacteria.p__Bacteroidetes.c__Cytophagia.o__Cytophagales.f__Cytophagaceae.g__Hymenobacter.s__.11" 0 0.01 0.11 0.06 +"k__Bacteria.p__Gemmatimonadetes.c__Gemmatimonadetes.o__Gemmatimonadales.f__Gemmatimonadaceae.g__Gemmatimonas.s__.4" 0 0 0.02 0.03 +"k__Bacteria.p__Bacteroidetes.c__Cytophagia.o__Cytophagales.f__Cytophagaceae.g__Cytophaga.s__" 0 0 0.03 0.06 +"k__Bacteria.p__Bacteroidetes.c__Flavobacteriia.o__Flavobacteriales.f__Flavobacteriaceae.g__Flavobacterium.s__.46" 0 0 0.05 0.07 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Sphingomonas.s__.27" 0 0 0.02 0.06 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Microbacteriaceae.g__Agromyces.s__.7" 0 0 0.03 0.04 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Xanthobacteraceae.g__Labrys.s__.5" 0 0 0.01 0.11 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Planococcaceae.g__Planomicrobium.s__.6" 0 0 0.11 0.07 +"k__Bacteria.p__Cyanobacteria.c__Synechococcophycideae.o__Pseudanabaenales.f__Pseudanabaenaceae.g__Leptolyngbya.s__.2" 0 0 0.02 0.06 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Comamonadaceae.g__Variovorax.s__.1" 0 0 0 0.04 +"k__Bacteria.p__Proteobacteria.c__Deltaproteobacteria.o__Desulfuromonadales.f__Geobacteraceae.g__Geobacter.s__.19" 0 0 0.02 0.06 +"k__Bacteria.p__Verrucomicrobia.c__Opitutae.o__Opitutales.f__Opitutaceae.g__Opitutus.s__.7" 0 0.02 0.24 0.04 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Phyllobacteriaceae.g__Mesorhizobium.s__.8" 0 0 0.03 0.06 +"k__Bacteria.p__Bacteroidetes.c__Cytophagia.o__Cytophagales.f__Cytophagaceae.g__Hymenobacter.s__.12" 0 0 0 0.04 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Kaistobacter.s__.31" 0 0 0.08 0.07 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Methylocystaceae.g__Methylosinus.s__.2" 0 0 0.04 0.07 +"k__Bacteria.p__Firmicutes.c__Clostridia.o__Clostridiales.f__Clostridiaceae.g__Clostridium.s__.18" 0 0 0.03 0.06 +"k__Bacteria.p__Nitrospirae.c__Nitrospira.o__Nitrospirales.f__Nitrospiraceae.g__JG37.AG.70.s__.2" 0 0 0.04 0.04 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__.59" 0 0 0.29 0.05 +"k__Bacteria.p__Cyanobacteria.c__Synechococcophycideae.o__Pseudanabaenales.f__Pseudanabaenaceae.g__Leptolyngbya.s__.3" 0 0 0.01 0.05 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.83" 0.02 0.06 0.41 0.08 +"k__Bacteria.p__Verrucomicrobia.c__Opitutae.o__Opitutales.f__Opitutaceae.g__Opitutus.s__.8" 0 0 0.02 0.09 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Xanthomonadales.f__Sinobacteraceae.g__Nevskia.s__.1" 0 0 0 0.04 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.114" 0 0 0.1 0.05 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhodospirillales.f__Rhodospirillaceae.g__Skermanella.s__.9" 0 0.01 0.17 0.02 +"k__Bacteria.p__Proteobacteria.c__Deltaproteobacteria.o__Myxococcales.f__Polyangiaceae.g__Byssovorax.s__cruenta" 0 0 0 0.04 +"k__Bacteria.p__Bacteroidetes.c__Cytophagia.o__Cytophagales.f__Cytophagaceae.g__Adhaeribacter.s__.17" 0 0 0 0.03 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Enterobacteriales.f__Enterobacteriaceae.g__Escherichia.s__coli" 0 0 0.01 0.03 +"k__Bacteria.p__Actinobacteria.c__Rubrobacteria.o__Rubrobacterales.f__Rubrobacteraceae.g__Rubrobacter.s__.26" 0 0 0.07 0.05 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Legionellales.f__Coxiellaceae.g__Rickettsiella.s__" 0 0 0.02 0.05 +"k__Bacteria.p__Verrucomicrobia.c__.Spartobacteria..o__.Chthoniobacterales..f__.Chthoniobacteraceae..g__OR.59.s__.2" 0 0 0 0.05 +"k__Bacteria.p__Bacteroidetes.c__.Saprospirae..o__.Saprospirales..f__Chitinophagaceae.g__Flavisolibacter.s__.37" 0 0 0.03 0.1 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Kaistobacter.s__.32" 0 0 0.09 0.05 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Pseudonocardiaceae.g__Pseudonocardia.s__.14" 0 0 0 0.05 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.115" 0 0 0.1 0.16 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Bradyrhizobiaceae.g__Balneimonas.s__.7" 0.06 0.08 0.3 0.11 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.116" 0 0 0.01 0.11 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Streptomycetaceae.g__Streptomyces.s__scabrisporus.1" 0 0 0.02 0.03 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Oxalobacteraceae.g__Cupriavidus.s__.5" 0 0 0.01 0.02 +"k__Bacteria.p__Actinobacteria.c__Rubrobacteria.o__Rubrobacterales.f__Rubrobacteraceae.g__Rubrobacter.s__.27" 0.03 0.01 0.19 0.16 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Pseudomonadales.f__Moraxellaceae.g__Acinetobacter.s__guillouiae" 0 0 0.07 0.04 +"k__Bacteria.p__Verrucomicrobia.c__.Spartobacteria..o__.Chthoniobacterales..f__.Chthoniobacteraceae..g__DA101.s__.54" 0 0.01 0.01 0.07 +"k__Bacteria.p__Bacteroidetes.c__.Saprospirae..o__.Saprospirales..f__Chitinophagaceae.g__Segetibacter.s__.21" 0 0 0.05 0.04 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Kaistobacter.s__.33" 0 0 0.02 0.03 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__.60" 0 0 0 0.04 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.84" 0 0.01 0.04 0.03 +"k__Bacteria.p__Nitrospirae.c__Nitrospira.o__Nitrospirales.f__Nitrospiraceae.g__JG37.AG.70.s__.3" 0 0 0.01 0.02 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Comamonadaceae.g__Comamonas.s__.2" 0 0 0.06 0.05 +"k__Bacteria.p__Bacteroidetes.c__Cytophagia.o__Cytophagales.f__Cytophagaceae.g__Dyadobacter.s__.4" 0 0 0.01 0.01 +"k__Bacteria.p__Proteobacteria.c__Deltaproteobacteria.o__Desulfuromonadales.f__Geobacteraceae.g__Geobacter.s__.20" 0 0 0.04 0.04 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Oxalobacteraceae.g__Janthinobacterium.s__.9" 0 0 0.01 0.04 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Xanthomonadales.f__Sinobacteraceae.g__Steroidobacter.s__.11" 0 0 0.29 0.06 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Pseudonocardiaceae.g__Pseudonocardia.s__.15" 0 0.01 0.07 0.01 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__.61" 0 0.01 0.06 0.03 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Sphingopyxis.s__" 0 0 0.04 0.05 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Actinosynnemataceae.g__Kibdelosporangium.s__.2" 0 0 0.01 0 +"k__Bacteria.p__Cyanobacteria.c__Oscillatoriophycideae.o__Oscillatoriales.f__Phormidiaceae.g__Phormidium.s__.6" 0 0 0.05 0.05 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Oxalobacteraceae.g__Janthinobacterium.s__.10" 0 0 0.03 0.08 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Legionellales.f__Coxiellaceae.g__Aquicella.s__.13" 0 0 0.04 0.09 +"k__Bacteria.p__Verrucomicrobia.c__.Spartobacteria..o__.Chthoniobacterales..f__.Chthoniobacteraceae..g__DA101.s__.55" 0 0 0 0.06 +"k__Bacteria.p__Bacteroidetes.c__Flavobacteriia.o__Flavobacteriales.f__Flavobacteriaceae.g__Flavobacterium.s__.47" 0 0 0.02 0.04 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Pedomicrobium.s__.9" 0 0.01 0.08 0.03 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Devosia.s__.30" 0.04 0.04 0.12 0.04 +"k__Bacteria.p__Verrucomicrobia.c__.Spartobacteria..o__.Chthoniobacterales..f__.Chthoniobacteraceae..g__Candidatus.Xiphinematobacter.s__.5" 0.01 0.03 0.2 0.18 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.85" 0 0.03 0.42 0.09 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Sphingobium.s__.12" 0.01 0.01 0.06 0.07 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Oxalobacteraceae.g__Ralstonia.s__.4" 0 0 0 0.02 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Neisseriales.f__Neisseriaceae.g__Kingella.s__denitrificans" 0 0 0.05 0.03 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Mycobacteriaceae.g__Mycobacterium.s__.21" 0 0 0.06 0.05 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Rhodobiaceae.g__Afifella.s__.16" 0 0 0.04 0.05 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Burkholderiaceae.g__Burkholderia.s__.19" 0 0 0.01 0.02 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Pseudonocardiaceae.g__Pseudonocardia.s__.16" 0 0 0.06 0.07 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Oxalobacteraceae.g__Janthinobacterium.s__.11" 0 0 0.13 0.04 +"k__Bacteria.p__Bacteroidetes.c__Flavobacteriia.o__Flavobacteriales.f__.Weeksellaceae..g__Chryseobacterium.s__.10" 0 0 0.01 0.04 +"k__Bacteria.p__Verrucomicrobia.c__.Spartobacteria..o__.Chthoniobacterales..f__.Chthoniobacteraceae..g__DA101.s__.56" 0 0 0.05 0.03 +"k__Bacteria.p__Acidobacteria.c__Acidobacteriia.o__Acidobacteriales.f__Koribacteraceae.g__Candidatus.Koribacter.s__.28" 0 0 0.03 0.1 +"k__Bacteria.p__Acidobacteria.c__Acidobacteriia.o__Acidobacteriales.f__Koribacteraceae.g__Candidatus.Koribacter.s__.29" 0 0 0.1 0.14 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Rhodobiaceae.g__Afifella.s__.17" 0.07 0.05 0.28 0.01 +"k__Bacteria.p__Bacteroidetes.c__Sphingobacteriia.o__Sphingobacteriales.f__Sphingobacteriaceae.g__Pedobacter.s__.15" 0 0 0.09 0.02 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Pseudomonadales.f__Pseudomonadaceae.g__Pseudomonas.s__.15" 0 0 0.02 0.01 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Paenibacillaceae.g__Paenibacillus.s__.25" 0 0 0.06 0.05 +"k__Bacteria.p__Bacteroidetes.c__Flavobacteriia.o__Flavobacteriales.f__Flavobacteriaceae.g__Flavobacterium.s__.48" 0 0 0 0.02 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Novosphingobium.s__.13" 0 0.01 0.15 0.05 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.86" 0 0 0.03 0.07 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.117" 0 0 0.06 0.03 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rickettsiales.f__mitochondria.g__Carludovica.s__palmata" 0 0 0.02 0.08 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Micrococcaceae.g__Arthrobacter.s__nitroguajacolicus" 0 0 0.02 0.04 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Burkholderiaceae.g__Burkholderia.s__.20" 0 0 0.03 0.01 +"k__Bacteria.p__Bacteroidetes.c__Flavobacteriia.o__Flavobacteriales.f__Flavobacteriaceae.g__Flavobacterium.s__.49" 0 0 0.05 0.05 +"k__Bacteria.p__Bacteroidetes.c__Cytophagia.o__Cytophagales.f__Cytophagaceae.g__Adhaeribacter.s__.18" 0.04 0.04 0.22 0.05 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Sporolactobacillaceae.g__Pullulanibacillus.s__" 0 0 0.03 0.07 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Cellulomonadaceae.g__Cellulomonas.s__.2" 0 0 0.05 0.03 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Legionellales.f__Coxiellaceae.g__Aquicella.s__.14" 0 0 0 0.01 +"k__Bacteria.p__Bacteroidetes.c__.Saprospirae..o__.Saprospirales..f__Chitinophagaceae.g__Sediminibacterium.s__.3" 0 0 0.03 0.02 +"k__Bacteria.p__Firmicutes.c__Clostridia.o__Clostridiales.f__Clostridiaceae.g__Clostridium.s__.19" 0 0 0.13 0.04 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__.Exiguobacteraceae..g__Exiguobacterium.s__.1" 0 0 0.12 0.04 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__.62" 0 0 0.09 0.06 +"k__Bacteria.p__Bacteroidetes.c__Sphingobacteriia.o__Sphingobacteriales.f__Sphingobacteriaceae.g__Pedobacter.s__cryoconitis.1" 0 0 0.03 0.05 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__.63" 0 0 0.04 0.05 +"k__Bacteria.p__Bacteroidetes.c__Flavobacteriia.o__Flavobacteriales.f__Flavobacteriaceae.g__Flavobacterium.s__.50" 0 0 0.12 0.02 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Enterobacteriales.f__Enterobacteriaceae.g__Erwinia.s__.2" 0.01 0 0.15 0.02 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Sphingomonas.s__wittichii.13" 0 0 0.06 0.06 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Oxalobacteraceae.g__Herminiimonas.s__.2" 0 0 0.06 0.06 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Sphingomonas.s__wittichii.14" 0 0 0.01 0.03 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Sphingomonas.s__.28" 0 0 0.05 0.01 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Bradyrhizobiaceae.g__Balneimonas.s__.8" 0.02 0.03 0.09 0.02 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhodospirillales.f__Acetobacteraceae.g__Acidisoma.s__.1" 0 0 0.06 0.04 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Oxalobacteraceae.g__Herminiimonas.s__.3" 0 0.01 0.13 0.08 +"k__Bacteria.p__Bacteroidetes.c__.Saprospirae..o__.Saprospirales..f__Chitinophagaceae.g__Flavisolibacter.s__.38" 0 0 0.15 0.09 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Micromonosporaceae.g__Catellatospora.s__.5" 0 0 0.03 0.03 +"k__Bacteria.p__Firmicutes.c__Clostridia.o__Clostridiales.f__Lachnospiraceae.g__Coprococcus.s__.1" 0 0 0 0.05 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Mycobacteriaceae.g__Mycobacterium.s__.22" 0 0 0 0.05 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.118" 0 0 0.06 0.03 +"k__Bacteria.p__Bacteroidetes.c__Flavobacteriia.o__Flavobacteriales.f__Flavobacteriaceae.g__Flavobacterium.s__.51" 0 0 0.02 0.05 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Paenibacillaceae.g__Paenibacillus.s__chondroitinus.2" 0 0 0 0.05 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Bradyrhizobiaceae.g__Bradyrhizobium.s__.9" 0.03 0.01 0.06 0.19 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Nocardioidaceae.g__Nocardioides.s__.8" 0 0 0.13 0.06 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Microbacteriaceae.g__Microbacterium.s__.7" 0 0 0.05 0.09 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Micromonosporaceae.g__Dactylosporangium.s__.2" 0.04 0.07 0.23 0.09 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Oxalobacteraceae.g__Janthinobacterium.s__lividum.3" 0 0 0.01 0.03 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Thermoactinomycetaceae.g__Shimazuella.s__" 0 0 0.13 0.03 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Burkholderiaceae.g__Burkholderia.s__.21" 0 0 0.07 0.04 +"k__Bacteria.p__Acidobacteria.c__Acidobacteriia.o__Acidobacteriales.f__Koribacteraceae.g__Candidatus.Koribacter.s__.30" 0 0 0.12 0.06 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Xanthomonadales.f__Sinobacteraceae.g__Steroidobacter.s__.12" 0 0 0.06 0.03 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Mycobacteriaceae.g__Mycobacterium.s__.23" 0 0 0.02 0.02 +"k__Bacteria.p__Bacteroidetes.c__Cytophagia.o__Cytophagales.f__Cytophagaceae.g__Hymenobacter.s__.13" 0 0 0.02 0.03 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Mycobacteriaceae.g__Mycobacterium.s__celatum.4" 0 0 0.02 0.01 +"k__Bacteria.p__Bacteroidetes.c__Flavobacteriia.o__Flavobacteriales.f__Flavobacteriaceae.g__Flavobacterium.s__.52" 0 0.01 0.02 0.02 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Devosia.s__.31" 0 0 0.04 0.04 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Pseudonocardiaceae.g__Pseudonocardia.s__.17" 0 0 0.04 0.02 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Planococcaceae.g__Sporosarcina.s__.7" 0 0 0.01 0.03 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Xanthomonadales.f__Xanthomonadaceae.g__Dokdonella.s__.6" 0 0 0.12 0.02 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Paenibacillaceae.g__Paenibacillus.s__chondroitinus.3" 0 0 0.01 0.05 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Pseudonocardiaceae.g__Pseudonocardia.s__.18" 0 0 0.03 0.03 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Rhodobiaceae.g__Afifella.s__.18" 0 0 0.03 0.04 +"k__Bacteria.p__Firmicutes.c__Clostridia.o__Clostridiales.f__Clostridiaceae.g__Clostridium.s__.20" 0 0 0.05 0.06 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.119" 0.15 0.19 0.57 0.17 +"k__Bacteria.p__Acidobacteria.c__Acidobacteriia.o__Acidobacteriales.f__Koribacteraceae.g__Candidatus.Koribacter.s__.31" 0 0 0.11 0.08 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Planococcaceae.g__Planomicrobium.s__.7" 0 0 0 0.04 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Comamonadaceae.g__Paucibacter.s__.1" 0.25 0.39 0.8 0.03 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Microbacteriaceae.g__Salinibacterium.s__.6" 0 0 0.03 0.02 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Mycobacteriaceae.g__Mycobacterium.s__.24" 0 0.01 0.05 0.04 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Micrococcaceae.g__Arthrobacter.s__.5" 0 0 0 0.02 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Comamonadaceae.g__Limnohabitans.s__.4" 0.02 0 0.12 0.03 +"k__Bacteria.p__Bacteroidetes.c__Flavobacteriia.o__Flavobacteriales.f__Flavobacteriaceae.g__Flavobacterium.s__.53" 0 0.03 0.03 0.06 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Actinosynnemataceae.g__Saccharothrix.s__.2" 0 0.01 0.01 0.03 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Pseudomonadales.f__Pseudomonadaceae.g__Pseudomonas.s__.16" 0 0 0.02 0.05 +"k__Bacteria.p__Bacteroidetes.c__Cytophagia.o__Cytophagales.f__Cytophagaceae.g__Hymenobacter.s__.14" 0 0.01 0.05 0.06 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.87" 0.01 0.02 0.37 0.13 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Pseudomonadales.f__Pseudomonadaceae.g__Pseudomonas.s__.17" 0 0.04 0.12 0.05 +"k__Bacteria.p__Bacteroidetes.c__Flavobacteriia.o__Flavobacteriales.f__Flavobacteriaceae.g__Flavobacterium.s__.54" 0 0.01 0.02 0.02 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.88" 0.04 0.05 0.11 0.2 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.120" 0 0 0.01 0.08 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Devosia.s__.32" 0 0 0.04 0.05 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Pseudomonadales.f__Pseudomonadaceae.g__Pseudomonas.s__.18" 0.01 0 0.05 0.06 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.89" 0 0.01 0.12 0.05 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Streptomycetaceae.g__Streptomyces.s__axinellae" 0 0 0.03 0.04 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Comamonadaceae.g__Ramlibacter.s__.8" 0 0 0.01 0.03 +"k__Bacteria.p__Nitrospirae.c__Nitrospira.o__Nitrospirales.f__Nitrospiraceae.g__Nitrospira.s__.9" 0 0 0 0.09 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Paenibacillaceae.g__Paenibacillus.s__.26" 0 0 0.03 0.07 +"k__Bacteria.p__Proteobacteria.c__Deltaproteobacteria.o__Myxococcales.f__Myxococcaceae.g__Anaeromyxobacter.s__.4" 0 0 0.05 0.07 +"k__Bacteria.p__.Thermi..c__Deinococci.o__Deinococcales.f__Trueperaceae.g__Truepera.s__" 0 0 0.12 0.03 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Paenibacillaceae.g__Paenibacillus.s__.27" 0 0 0.03 0.02 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__.64" 0 0 0.17 0.03 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Paenibacillaceae.g__Paenibacillus.s__.28" 0 0 0.06 0.02 +"k__Bacteria.p__Firmicutes.c__Clostridia.o__Clostridiales.f__Lachnospiraceae.g__Coprococcus.s__.2" 0 0 0.06 0.07 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Microbacteriaceae.g__Agromyces.s__.8" 0 0 0.08 0.07 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Burkholderiaceae.g__Burkholderia.s__.22" 0 0 0.05 0.09 +"k__Bacteria.p__Bacteroidetes.c__Cytophagia.o__Cytophagales.f__Cytophagaceae.g__Sporocytophaga.s__.2" 0 0 0.03 0.05 +"k__Bacteria.p__Bacteroidetes.c__.Saprospirae..o__.Saprospirales..f__Chitinophagaceae.g__Segetibacter.s__.22" 0 0.01 0.24 0.03 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Nocardioidaceae.g__Aeromicrobium.s__.3" 0 0 0.05 0.04 +"k__Bacteria.p__Bacteroidetes.c__Flavobacteriia.o__Flavobacteriales.f__Flavobacteriaceae.g__Flavobacterium.s__.55" 0 0 0.03 0.09 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Planococcaceae.g__Solibacillus.s__.2" 0 0 0.12 0.05 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Bradyrhizobiaceae.g__Bradyrhizobium.s__.10" 0 0 0 0.01 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Legionellales.f__Coxiellaceae.g__Aquicella.s__.15" 0 0 0.01 0.08 +"k__Bacteria.p__Verrucomicrobia.c__.Spartobacteria..o__.Chthoniobacterales..f__.Chthoniobacteraceae..g__DA101.s__.57" 0 0 0 0.02 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Streptomycetaceae.g__Streptomyces.s__.36" 0 0 0.1 0.04 +"k__Bacteria.p__Bacteroidetes.c__.Saprospirae..o__.Saprospirales..f__Chitinophagaceae.g__Segetibacter.s__.23" 0 0 0.01 0.02 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__foraminis.2" 0 0 0.01 0.03 +"k__Bacteria.p__Firmicutes.c__Clostridia.o__Clostridiales.f__Clostridiaceae.g__SMB53.s__.2" 0 0 0.05 0.05 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Streptomycetaceae.g__Streptomyces.s__.37" 0 0 0.04 0.03 +"k__Bacteria.p__Cyanobacteria.c__Nostocophycideae.o__Nostocales.f__Nostocaceae.g__Tolypothrix.s__distorta" 0 0 0.01 0.01 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.90" 0 0 0.13 0.07 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Sphingomonas.s__changbaiensis" 0 0 0.01 0.05 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.121" 0 0 0.01 0.06 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Devosia.s__.33" 0 0 0.03 0.03 +"k__Bacteria.p__Nitrospirae.c__Nitrospira.o__Nitrospirales.f__Nitrospiraceae.g__Nitrospira.s__.10" 0 0 0 0.05 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Hyphomicrobium.s__.9" 0 0 0.03 0.06 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.122" 0 0.01 0.13 0.01 +"k__Bacteria.p__Proteobacteria.c__Deltaproteobacteria.o__Bdellovibrionales.f__Bdellovibrionaceae.g__Bdellovibrio.s__.21" 0 0 0.01 0.04 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.123" 0 0 0.02 0.08 +"k__Bacteria.p__Firmicutes.c__Clostridia.o__Clostridiales.f__Ruminococcaceae.g__Ethanoligenens.s__" 0 0 0.04 0.01 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Bradyrhizobiaceae.g__Balneimonas.s__.9" 0 0 0.03 0.01 +"k__Bacteria.p__Bacteroidetes.c__.Saprospirae..o__.Saprospirales..f__Chitinophagaceae.g__Flavisolibacter.s__.39" 0 0 0.05 0.02 +"k__Bacteria.p__Bacteroidetes.c__Cytophagia.o__Cytophagales.f__Cytophagaceae.g__Adhaeribacter.s__.19" 0 0 0 0.07 +"k__Bacteria.p__Firmicutes.c__Clostridia.o__Clostridiales.f__Clostridiaceae.g__Clostridium.s__.21" 0 0 0.09 0.03 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Sphingomonas.s__.29" 0 0 0.09 0.03 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Streptomycetaceae.g__Streptomyces.s__.38" 0 0 0.01 0.04 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Caulobacterales.f__Caulobacteraceae.g__Phenylobacterium.s__.10" 0 0.02 0.04 0.1 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Rhizobiaceae.g__Agrobacterium.s__.15" 0 0 0.01 0.04 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.124" 0.02 0.03 0.18 0.01 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Comamonadaceae.g__Pelomonas.s__" 0 0 0.01 0.11 +"k__Bacteria.p__Bacteroidetes.c__Cytophagia.o__Cytophagales.f__Cytophagaceae.g__Adhaeribacter.s__.20" 0 0 0 0.04 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Kineosporiaceae.g__Kineococcus.s__" 0 0 0.01 0.06 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Mycobacteriaceae.g__Mycobacterium.s__.25" 0 0.01 0.05 0.03 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Caulobacterales.f__Caulobacteraceae.g__Phenylobacterium.s__.11" 0 0 0.04 0.02 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Pseudomonadales.f__Pseudomonadaceae.g__Pseudomonas.s__.19" 0.15 0.24 0.42 0.07 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Comamonadaceae.g__Comamonas.s__.3" 0 0 0.03 0.08 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Nitrosomonadales.f__Nitrosomonadaceae.g__Nitrosovibrio.s__tenuis.1" 0 0 0.03 0.05 +"k__Bacteria.p__Proteobacteria.c__Deltaproteobacteria.o__Syntrophobacterales.f__Syntrophaceae.g__Syntrophus.s__.1" 0 0 0.03 0.05 +"k__Bacteria.p__Bacteroidetes.c__Cytophagia.o__Cytophagales.f__Cytophagaceae.g__Hymenobacter.s__.15" 0 0.03 0.22 0.08 +"k__Bacteria.p__Bacteroidetes.c__Flavobacteriia.o__Flavobacteriales.f__Flavobacteriaceae.g__Flavobacterium.s__succinicans.4" 0 0.02 0.04 0.03 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Pseudomonadales.f__Pseudomonadaceae.g__Pseudomonas.s__.20" 0 0 0.02 0.05 +"k__Bacteria.p__Bacteroidetes.c__Flavobacteriia.o__Flavobacteriales.f__Flavobacteriaceae.g__Flavobacterium.s__.56" 0 0 0.02 0.04 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Legionellales.f__Coxiellaceae.g__Aquicella.s__.16" 0 0.01 0.04 0.02 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Kaistobacter.s__.34" 0 0.01 0.07 0.02 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.91" 0 0 0.05 0.03 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Alicyclobacillaceae.g__Alicyclobacillus.s__pomorum" 0 0 0.03 0.07 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Comamonadaceae.g__Limnohabitans.s__.5" 0 0 0.01 0.02 +"k__Bacteria.p__Firmicutes.c__Clostridia.o__Clostridiales.f__Clostridiaceae.g__Clostridium.s__hiranonis" 0 0.01 0.08 0.08 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Sphingomonas.s__.30" 0 0 0.06 0.06 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.125" 0 0 0.08 0.08 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Microbacteriaceae.g__Microbacterium.s__chocolatum" 0 0.01 0.06 0.04 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Bradyrhizobiaceae.g__Bradyrhizobium.s__.11" 0.01 0 0.01 0.07 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Rhodobiaceae.g__Afifella.s__.19" 0 0 0.02 0.09 +"k__Bacteria.p__Verrucomicrobia.c__.Spartobacteria..o__.Chthoniobacterales..f__.Chthoniobacteraceae..g__DA101.s__.58" 0 0 0 0.08 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Micromonosporaceae.g__Actinoplanes.s__durhamensis" 0 0 0.01 0.02 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Rhodocyclales.f__Rhodocyclaceae.g__Dechloromonas.s__.5" 0 0 0.04 0.07 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Legionellales.f__Coxiellaceae.g__Aquicella.s__.17" 0 0 0.02 0.03 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Pseudomonadales.f__Pseudomonadaceae.g__Pseudomonas.s__.21" 0 0.01 0.02 0.06 +"k__Bacteria.p__Actinobacteria.c__Thermoleophilia.o__Solirubrobacterales.f__Solirubrobacteraceae.g__Solirubrobacter.s__" 0 0 0.01 0.04 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Pseudonocardiaceae.g__Pseudonocardia.s__.19" 0 0 0.05 0.06 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Microbacteriaceae.g__Cryocola.s__.1" 0 0.01 0.06 0.07 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Streptomycetaceae.g__Streptacidiphilus.s__.2" 0 0 0.08 0.08 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Propionibacteriaceae.g__Propionibacterium.s__acnes.1" 0 0.01 0.03 0.02 +"k__Bacteria.p__Proteobacteria.c__Deltaproteobacteria.o__Myxococcales.f__Nannocystaceae.g__Nannocystis.s__" 0 0 0.05 0.06 +"k__Bacteria.p__Verrucomicrobia.c__.Spartobacteria..o__.Chthoniobacterales..f__.Chthoniobacteraceae..g__Candidatus.Xiphinematobacter.s__.6" 0.01 0.03 0.16 0.06 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Kaistobacter.s__.35" 0 0 0.01 0.01 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Micromonosporaceae.g__Actinoplanes.s__brasiliensis" 0 0.02 0.17 0.04 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Mycobacteriaceae.g__Mycobacterium.s__arupense" 0.01 0.01 0.03 0.02 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.126" 0 0 0 0.11 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.92" 0 0 0.03 0.03 +"k__Bacteria.p__Proteobacteria.c__Deltaproteobacteria.o__Desulfuromonadales.f__Geobacteraceae.g__Geobacter.s__.21" 0 0 0.04 0.01 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__.65" 0 0 0.01 0.04 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Streptomycetaceae.g__Streptomyces.s__indigoferus" 0 0 0 0.05 +"k__Bacteria.p__Acidobacteria.c__Acidobacteriia.o__Acidobacteriales.f__Koribacteraceae.g__Candidatus.Koribacter.s__.32" 0 0 0.07 0.09 +"k__Bacteria.p__Bacteroidetes.c__Cytophagia.o__Cytophagales.f__Cytophagaceae.g__Spirosoma.s__.4" 0 0 0.04 0.07 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Devosia.s__.34" 0 0 0.13 0.05 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__.66" 0 0 0.07 0.05 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Xanthomonadales.f__Sinobacteraceae.g__Steroidobacter.s__.13" 0 0 0.06 0.03 +"k__Bacteria.p__Bacteroidetes.c__Flavobacteriia.o__Flavobacteriales.f__Flavobacteriaceae.g__Flavobacterium.s__.57" 0 0 0.02 0.04 +"k__Bacteria.p__Bacteroidetes.c__Cytophagia.o__Cytophagales.f__Cytophagaceae.g__Hymenobacter.s__.16" 0 0 0.01 0.04 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__.67" 0 0 0 0.04 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Methylobacteriaceae.g__Methylobacterium.s__.7" 0 0 0.02 0.05 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__.68" 0 0 0.11 0.04 +"k__Bacteria.p__Acidobacteria.c__Acidobacteriia.o__Acidobacteriales.f__Koribacteraceae.g__Candidatus.Koribacter.s__.33" 0 0.01 0.16 0.06 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Alteromonadales.f__Alteromonadaceae.g__Cellvibrio.s__.4" 0 0.03 0.14 0.04 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Phyllobacteriaceae.g__Phyllobacterium.s__.1" 0 0 0 0.01 +"k__Bacteria.p__Acidobacteria.c__Acidobacteriia.o__Acidobacteriales.f__Acidobacteriaceae.g__Terriglobus.s__.3" 0.01 0.03 0.21 0.03 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__.69" 0 0 0.01 0.03 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhodospirillales.f__Acetobacteraceae.g__Acidocella.s__.2" 0 0 0.03 0.06 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Streptomycetaceae.g__Streptomyces.s__.39" 0 0 0.04 0.02 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Bradyrhizobiaceae.g__Balneimonas.s__.10" 0 0 0.01 0.02 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Legionellales.f__Legionellaceae.g__Legionella.s__.8" 0 0 0 0.03 +"k__Bacteria.p__Nitrospirae.c__Nitrospira.o__Nitrospirales.f__Nitrospiraceae.g__Nitrospira.s__.11" 0 0 0.02 0.05 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.93" 0.04 0.07 0.21 0.13 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Streptomycetaceae.g__Streptomyces.s__.40" 0 0 0.03 0.05 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Streptomycetaceae.g__Streptomyces.s__.41" 0 0 0.07 0.04 +"k__Bacteria.p__Nitrospirae.c__Nitrospira.o__Nitrospirales.f__Nitrospiraceae.g__Nitrospira.s__.12" 0 0 0 0.03 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Staphylococcaceae.g__Staphylococcus.s__" 0 0 0.06 0.05 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__.70" 0 0.01 0.1 0.04 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Phyllobacteriaceae.g__Phyllobacterium.s__.2" 0 0 0 0.03 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Methylobacteriaceae.g__Methylobacterium.s__organophilum" 0 0 0.03 0.08 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.127" 0 0 0.01 0.03 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Sphingobium.s__.13" 0 0 0 0.03 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Devosia.s__.35" 0 0.02 0.13 0.06 +"k__Bacteria.p__Bacteroidetes.c__.Saprospirae..o__.Saprospirales..f__Chitinophagaceae.g__Sediminibacterium.s__.4" 0 0 0.02 0.03 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.128" 0 0 0.02 0.07 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Rhizobiaceae.g__Rhizobium.s__.5" 0 0 0.09 0.07 +"k__Bacteria.p__Bacteroidetes.c__Flavobacteriia.o__Flavobacteriales.f__Flavobacteriaceae.g__Flavobacterium.s__.58" 0 0 0 0.04 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Mycobacteriaceae.g__Mycobacterium.s__.26" 0 0 0 0.01 +"k__Bacteria.p__Bacteroidetes.c__Cytophagia.o__Cytophagales.f__Cytophagaceae.g__Spirosoma.s__.5" 0 0 0.02 0.03 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Burkholderiaceae.g__Burkholderia.s__.23" 0.03 0.08 0.21 0.08 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Rhodobiaceae.g__Afifella.s__.20" 0 0 0.01 0.04 +"k__Bacteria.p__Verrucomicrobia.c__.Spartobacteria..o__.Chthoniobacterales..f__.Chthoniobacteraceae..g__DA101.s__.59" 0 0 0.01 0.05 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.129" 0 0 0.04 0.05 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Paenibacillaceae.g__Paenibacillus.s__.29" 0 0 0.03 0.03 +"k__Bacteria.p__Acidobacteria.c__Acidobacteriia.o__Acidobacteriales.f__Koribacteraceae.g__Candidatus.Koribacter.s__.34" 0 0 0.01 0.03 +"k__Bacteria.p__Bacteroidetes.c__.Saprospirae..o__.Saprospirales..f__Chitinophagaceae.g__Flavisolibacter.s__.40" 0 0 0.1 0.03 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Streptomycetaceae.g__Streptomyces.s__.42" 0 0 0.15 0.06 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Xanthomonadales.f__Xanthomonadaceae.g__Dokdonella.s__.7" 0 0.01 0.06 0.08 +"k__Bacteria.p__Bacteroidetes.c__.Saprospirae..o__.Saprospirales..f__Chitinophagaceae.g__Segetibacter.s__.24" 0 0 0 0.06 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Burkholderiaceae.g__Burkholderia.s__.24" 0 0 0 0.08 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Nocardioidaceae.g__Nocardioides.s__.9" 0 0.01 0.04 0.04 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.130" 0 0 0.02 0.03 +"k__Bacteria.p__Bacteroidetes.c__.Saprospirae..o__.Saprospirales..f__Chitinophagaceae.g__Flavisolibacter.s__.41" 0.01 0.01 0.25 0.39 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Rhizobiaceae.g__Rhizobium.s__.6" 0 0 0.01 0.05 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Xanthomonadales.f__Xanthomonadaceae.g__Luteibacter.s__rhizovicinus" 0 0.02 0.06 0.04 +"k__Bacteria.p__Bacteroidetes.c__Flavobacteriia.o__Flavobacteriales.f__Flavobacteriaceae.g__Flavobacterium.s__.59" 0 0 0.07 0.05 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__.71" 0 0 0.08 0.07 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Sphingomonas.s__.31" 0 0 0 0.03 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__flexus.3" 0 0 0.01 0.03 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Microbacteriaceae.g__Microbacterium.s__.8" 0 0 0.02 0.02 +"k__Bacteria.p__Bacteroidetes.c__Flavobacteriia.o__Flavobacteriales.f__Flavobacteriaceae.g__Flavobacterium.s__succinicans.5" 0 0 0.05 0.04 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Sphingomonas.s__.32" 0 0 0.02 0.03 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__elegans" 0 0 0.01 0.04 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.131" 0.91 0.92 0.9 0.6 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhodobacterales.f__Rhodobacteraceae.g__Rubellimicrobium.s__.6" 0 0 0.09 0.12 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__.72" 0 0.02 0.03 0.06 +"k__Bacteria.p__Proteobacteria.c__Deltaproteobacteria.o__Bdellovibrionales.f__Bdellovibrionaceae.g__Bdellovibrio.s__.22" 0 0.02 0.04 0.08 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Phyllobacteriaceae.g__Mesorhizobium.s__.9" 0 0 0.04 0.04 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Rhodocyclales.f__Rhodocyclaceae.g__Hydrogenophilus.s__" 0 0.01 0.02 0.07 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Micromonosporaceae.g__Actinoplanes.s__.4" 0.29 0.43 0.78 0.04 +"k__Bacteria.p__Verrucomicrobia.c__.Spartobacteria..o__.Chthoniobacterales..f__.Chthoniobacteraceae..g__DA101.s__.60" 0 0 0.04 0.01 +"k__Bacteria.p__Firmicutes.c__Clostridia.o__Clostridiales.f__Clostridiaceae.g__Clostridium.s__.22" 0 0.05 0.18 0.01 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Kaistobacter.s__.36" 0.02 0.04 0.17 0.05 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.132" 0 0.01 0.06 0.01 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Rhodobiaceae.g__Afifella.s__.21" 0 0 0 0.09 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Rhizobiaceae.g__Agrobacterium.s__.16" 0 0 0 0.07 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Pedomicrobium.s__.10" 0 0 0.03 0.02 +"k__Bacteria.p__Bacteroidetes.c__Flavobacteriia.o__Flavobacteriales.f__.Weeksellaceae..g__Chryseobacterium.s__.11" 0 0 0.02 0.08 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Rhodobiaceae.g__Afifella.s__.22" 0 0 0.02 0.06 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.133" 0 0 0.03 0.06 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Xanthomonadales.f__Xanthomonadaceae.g__Lysobacter.s__.5" 0 0 0 0.04 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__.73" 0 0 0 0.02 +"k__Bacteria.p__Proteobacteria.c__Deltaproteobacteria.o__Desulfuromonadales.f__Geobacteraceae.g__Geobacter.s__.22" 0 0 0.03 0.04 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Novosphingobium.s__.14" 0 0 0.03 0.05 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.94" 0 0 0.09 0.06 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhodobacterales.f__Rhodobacteraceae.g__Rhodobacter.s__.2" 0 0 0.01 0.05 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Sphingomonas.s__wittichii.15" 0 0 0.01 0.04 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Comamonadaceae.g__Rhodoferax.s__.3" 0 0 0.01 0.02 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Kaistobacter.s__.37" 0 0 0.01 0.02 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Xanthomonadales.f__Xanthomonadaceae.g__Luteimonas.s__.1" 0 0 0.01 0.08 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.134" 0 0 0.07 0.04 +"k__Bacteria.p__Bacteroidetes.c__Cytophagia.o__Cytophagales.f__Cytophagaceae.g__Hymenobacter.s__.17" 0 0 0.12 0.06 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Comamonadaceae.g__Methylibium.s__.12" 0 0 0.05 0.03 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Lactobacillales.f__Streptococcaceae.g__Lactococcus.s__.2" 0 0 0.02 0.05 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Caulobacterales.f__Caulobacteraceae.g__Phenylobacterium.s__.12" 0 0 0.05 0.02 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.95" 0 0 0.05 0.03 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.135" 0 0 0.01 0.04 +"k__Bacteria.p__Proteobacteria.c__Deltaproteobacteria.o__Myxococcales.f__Myxococcaceae.g__Anaeromyxobacter.s__.5" 0 0 0.04 0.05 +"k__Bacteria.p__Proteobacteria.c__Deltaproteobacteria.o__Myxococcales.f__Myxococcaceae.g__Myxococcus.s__.1" 0.11 0.09 0.44 0.09 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Bradyrhizobiaceae.g__Bosea.s__genosp..2" 0 0 0.02 0.06 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.96" 0 0 0 0.08 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Comamonadaceae.g__Comamonas.s__.4" 0 0 0.01 0.07 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Nocardioidaceae.g__Nocardioides.s__.10" 0 0 0.01 0.03 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Paenibacillaceae.g__Paenibacillus.s__.30" 0 0 0 0.04 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Kaistobacter.s__.38" 0 0 0.06 0.02 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Kaistobacter.s__.39" 0 0 0.07 0.08 +"k__Bacteria.p__Bacteroidetes.c__Flavobacteriia.o__Flavobacteriales.f__Flavobacteriaceae.g__Flavobacterium.s__.60" 0 0 0.02 0.01 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Bradyrhizobiaceae.g__Balneimonas.s__.11" 0.9 0.86 0.85 0.63 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Pseudomonadales.f__Moraxellaceae.g__Enhydrobacter.s__" 0 0.04 0.03 0.03 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Nocardioidaceae.g__Actinopolymorpha.s__" 0 0.03 0.03 0.03 +"k__Bacteria.p__Acidobacteria.c__Acidobacteriia.o__Acidobacteriales.f__Koribacteraceae.g__Candidatus.Koribacter.s__.35" 0 0.01 0.03 0.05 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.97" 0.03 0.03 0.05 0.08 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.136" 0.01 0.03 0.1 0.07 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Alcaligenaceae.g__Achromobacter.s__.1" 0 0.01 0.01 0.05 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.137" 0 0 0.02 0.03 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Gallionellales.f__Gallionellaceae.g__Gallionella.s__.4" 0.04 0.11 0.3 0.01 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Devosia.s__.36" 0 0 0.04 0.05 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Caulobacterales.f__Caulobacteraceae.g__Mycoplana.s__.3" 0 0.01 0.04 0.04 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Devosia.s__.37" 0 0 0.02 0.04 +"k__Bacteria.p__Firmicutes.c__Clostridia.o__Clostridiales.f__Clostridiaceae.g__Clostridium.s__.23" 0 0 0.02 0.05 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Phyllobacteriaceae.g__Phyllobacterium.s__.3" 0.11 0.15 0.52 0.02 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Rhodobiaceae.g__Afifella.s__.23" 0 0 0.02 0.05 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Gallionellales.f__Gallionellaceae.g__Gallionella.s__.5" 0 0 0.06 0.05 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Alicyclobacillaceae.g__Alicyclobacillus.s__.11" 0 0 0.02 0.07 +"k__Bacteria.p__Verrucomicrobia.c__.Spartobacteria..o__.Chthoniobacterales..f__.Chthoniobacteraceae..g__DA101.s__.61" 0 0 0 0.02 +"k__Bacteria.p__Bacteroidetes.c__Cytophagia.o__Cytophagales.f__Cytophagaceae.g__Hymenobacter.s__.18" 0 0 0.11 0.05 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Streptomycetaceae.g__Streptomyces.s__roseochromogenus" 0 0 0 0.05 +"k__Bacteria.p__Bacteroidetes.c__Flavobacteriia.o__Flavobacteriales.f__Flavobacteriaceae.g__Flavobacterium.s__.61" 0 0 0 0.04 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Pseudomonadales.f__Pseudomonadaceae.g__Pseudomonas.s__.22" 0 0 0.02 0.04 +"k__Bacteria.p__Bacteroidetes.c__Flavobacteriia.o__Flavobacteriales.f__Flavobacteriaceae.g__Flavobacterium.s__.62" 0 0 0.02 0.03 +"k__Bacteria.p__Bacteroidetes.c__.Saprospirae..o__.Saprospirales..f__Chitinophagaceae.g__Flavisolibacter.s__.42" 0 0 0.05 0.04 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Kaistobacter.s__.40" 0 0 0.02 0.04 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Caulobacterales.f__Caulobacteraceae.g__Mycoplana.s__.4" 0 0 0.01 0.02 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__.74" 0 0.01 0 0.03 +"k__Bacteria.p__Bacteroidetes.c__Cytophagia.o__Cytophagales.f__Cytophagaceae.g__Spirosoma.s__.6" 0 0 0.12 0.07 +"k__Bacteria.p__Bacteroidetes.c__Bacteroidia.o__Bacteroidales.f__Porphyromonadaceae.g__Dysgonomonas.s__" 0 0 0.03 0.1 +"k__Bacteria.p__Bacteroidetes.c__Cytophagia.o__Cytophagales.f__Cytophagaceae.g__Adhaeribacter.s__.21" 0 0 0.01 0.01 +"k__Bacteria.p__Actinobacteria.c__Rubrobacteria.o__Rubrobacterales.f__Rubrobacteraceae.g__Rubrobacter.s__.28" 0 0.04 0.43 0.07 +"k__Bacteria.p__Bacteroidetes.c__Flavobacteriia.o__Flavobacteriales.f__.Weeksellaceae..g__Chryseobacterium.s__.12" 0 0 0.03 0.07 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhodospirillales.f__Acetobacteraceae.g__Roseococcus.s__.1" 0 0 0.04 0.05 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Hyphomicrobium.s__.10" 0 0 0.01 0.05 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhodobacterales.f__Rhodobacteraceae.g__Rubellimicrobium.s__.7" 0 0 0 0.04 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Streptomycetaceae.g__Streptomyces.s__.43" 0 0 0 0.06 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Streptosporangiaceae.g__Nonomuraea.s__.2" 0 0 0.02 0.07 +"k__Bacteria.p__Acidobacteria.c__Holophagae.o__Holophagales.f__Holophagaceae.g__Geothrix.s__.3" 0 0 0.02 0.03 +"k__Bacteria.p__Verrucomicrobia.c__Opitutae.o__Opitutales.f__Opitutaceae.g__Opitutus.s__.9" 0 0 0.01 0.06 +"k__Bacteria.p__Cyanobacteria.c__Nostocophycideae.o__Nostocales.f__Nostocaceae.g__Anabaena.s__cylindrica" 0 0 0.03 0.04 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Caulobacterales.f__Caulobacteraceae.g__Phenylobacterium.s__.13" 0 0.01 0.05 0.07 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Comamonadaceae.g__Acidovorax.s__delafieldii" 0 0 0.04 0.06 +"k__Bacteria.p__Bacteroidetes.c__Cytophagia.o__Cytophagales.f__Cytophagaceae.g__Adhaeribacter.s__.22" 0 0 0 0.04 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.138" 0 0 0.08 0.1 +"k__Bacteria.p__Bacteroidetes.c__.Saprospirae..o__.Saprospirales..f__Chitinophagaceae.g__Flavisolibacter.s__.43" 0 0 0 0.04 +"k__Bacteria.p__Bacteroidetes.c__Bacteroidia.o__Bacteroidales.f__Porphyromonadaceae.g__Porphyromonas.s__.1" 0 0 0 0.07 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__.75" 0 0 0.01 0.05 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__.76" 0 0 0.12 0.11 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Devosia.s__.38" 0 0 0.02 0.01 +"k__Bacteria.p__Proteobacteria.c__Deltaproteobacteria.o__Desulfuromonadales.f__Geobacteraceae.g__Geobacter.s__.23" 0 0 0.04 0.01 +"k__Bacteria.p__Bacteroidetes.c__.Saprospirae..o__.Saprospirales..f__Chitinophagaceae.g__Flavisolibacter.s__.44" 0.02 0.07 0.31 0.07 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Bradyrhizobiaceae.g__Bradyrhizobium.s__.12" 0 0.01 0.04 0.07 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.139" 0 0 0.08 0.07 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Comamonadaceae.g__Methylibium.s__.13" 0 0 0 0.05 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhodobacterales.f__Rhodobacteraceae.g__Rubellimicrobium.s__.8" 0 0 0.05 0.09 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Xanthomonadales.f__Sinobacteraceae.g__Steroidobacter.s__.14" 0 0 0 0.01 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Alteromonadales.f__Alteromonadaceae.g__Marinobacter.s__" 0 0.01 0.12 0.06 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Xanthomonadales.f__Xanthomonadaceae.g__Lysobacter.s__.6" 0 0.01 0.04 0.01 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Burkholderiaceae.g__Salinispora.s__.2" 0 0 0.01 0.05 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Vibrionales.f__Pseudoalteromonadaceae.g__Pseudoalteromonas.s__" 0 0.01 0.03 0.07 +"k__Bacteria.p__Bacteroidetes.c__.Saprospirae..o__.Saprospirales..f__Chitinophagaceae.g__Chitinophaga.s__.3" 0 0 0 0.07 +"k__Bacteria.p__Actinobacteria.c__Rubrobacteria.o__Rubrobacterales.f__Rubrobacteraceae.g__Rubrobacter.s__.29" 0 0 0.28 0.06 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Burkholderiaceae.g__Burkholderia.s__.25" 0 0.01 0.02 0.11 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Kaistobacter.s__.41" 0 0 0.01 0.04 +"k__Bacteria.p__Nitrospirae.c__Nitrospira.o__Nitrospirales.f__Nitrospiraceae.g__JG37.AG.70.s__.4" 0 0 0.03 0.03 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.98" 0 0 0.05 0.04 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Oxalobacteraceae.g__Janthinobacterium.s__.12" 0 0 0.05 0.01 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Bradyrhizobiaceae.g__Balneimonas.s__.12" 0 0 0.04 0.27 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Devosia.s__.39" 0 0.01 0.03 0.04 +"k__Bacteria.p__Bacteroidetes.c__Cytophagia.o__Cytophagales.f__Cytophagaceae.g__Hymenobacter.s__.19" 0 0.01 0.06 0.08 +"k__Bacteria.p__Verrucomicrobia.c__.Spartobacteria..o__.Chthoniobacterales..f__.Chthoniobacteraceae..g__DA101.s__.62" 0 0 0.02 0.02 +"k__Bacteria.p__Acidobacteria.c__Acidobacteriia.o__Acidobacteriales.f__Koribacteraceae.g__Candidatus.Koribacter.s__.36" 0 0 0.05 0.04 +"k__Bacteria.p__Verrucomicrobia.c__Verrucomicrobiae.o__Verrucomicrobiales.f__Verrucomicrobiaceae.g__Prosthecobacter.s__" 0 0.01 0.07 0.07 +"k__Bacteria.p__Verrucomicrobia.c__.Spartobacteria..o__.Chthoniobacterales..f__.Chthoniobacteraceae..g__Candidatus.Xiphinematobacter.s__.7" 0 0 0.1 0.15 +"k__Bacteria.p__Bacteroidetes.c__Flavobacteriia.o__Flavobacteriales.f__.Weeksellaceae..g__Cloacibacterium.s__" 0 0 0.05 0.01 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Geodermatophilaceae.g__Modestobacter.s__.1" 0 0 0 0.11 +"k__Bacteria.p__Verrucomicrobia.c__Verrucomicrobiae.o__Verrucomicrobiales.f__Verrucomicrobiaceae.g__Luteolibacter.s__.1" 0 0.01 0.04 0.05 +"k__Bacteria.p__Bacteroidetes.c__Cytophagia.o__Cytophagales.f__Cytophagaceae.g__Adhaeribacter.s__.23" 0 0 0.01 0.02 +"k__Bacteria.p__Acidobacteria.c__Acidobacteriia.o__Acidobacteriales.f__Koribacteraceae.g__Candidatus.Koribacter.s__.37" 0 0 0.19 0.07 +"k__Bacteria.p__Bacteroidetes.c__.Saprospirae..o__.Saprospirales..f__Chitinophagaceae.g__Flavisolibacter.s__.45" 0.05 0.14 0.62 0.06 +"k__Bacteria.p__Bacteroidetes.c__Flavobacteriia.o__Flavobacteriales.f__.Weeksellaceae..g__Chryseobacterium.s__.13" 0 0 0.02 0 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Alteromonadales.f__Alteromonadaceae.g__Cellvibrio.s__.5" 0 0 0.03 0.02 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Novosphingobium.s__.15" 0 0 0.02 0.04 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.99" 0 0 0.05 0.1 +"k__Bacteria.p__Proteobacteria.c__Deltaproteobacteria.o__Bdellovibrionales.f__Bdellovibrionaceae.g__Bdellovibrio.s__.23" 0 0.02 0.1 0.03 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__.77" 0 0 0.04 0.02 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Thermomonosporaceae.g__Actinomadura.s__vinacea" 0 0 0.13 0.05 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Pseudonocardiaceae.g__Pseudonocardia.s__.20" 0 0 0.08 0.06 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Thermoactinomycetaceae.g__Shimazuella.s__.1" 0 0 0.07 0.08 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Hyphomicrobium.s__.11" 0 0 0.01 0.03 +"k__Bacteria.p__Bacteroidetes.c__Cytophagia.o__Cytophagales.f__Cytophagaceae.g__Adhaeribacter.s__.24" 0 0 0.03 0.08 +"k__Bacteria.p__Firmicutes.c__Clostridia.o__Clostridiales.f__Veillonellaceae.g__Pelosinus.s__.5" 0 0.01 0.1 0.06 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Micromonosporaceae.g__Actinoplanes.s__.5" 0 0 0.01 0.08 +"k__Bacteria.p__Actinobacteria.c__Rubrobacteria.o__Rubrobacterales.f__Rubrobacteraceae.g__Rubrobacter.s__.30" 0.04 0.02 0.29 0.18 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__.78" 0 0 0.02 0.03 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Devosia.s__.40" 0 0 0.06 0.06 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Sphingomonas.s__.33" 0 0 0.04 0.03 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Nocardioidaceae.g__Nocardioides.s__.11" 0 0 0.05 0.04 +"k__Bacteria.p__Acidobacteria.c__Acidobacteriia.o__Acidobacteriales.f__Acidobacteriaceae.g__Edaphobacter.s__.1" 0.04 0.13 0.33 0.04 +"k__Bacteria.p__Nitrospirae.c__Nitrospira.o__Nitrospirales.f__Nitrospiraceae.g__Nitrospira.s__.13" 0 0 0.08 0.03 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Corynebacteriaceae.g__Corynebacterium.s__.1" 0 0 0.02 0.05 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.140" 0 0 0 0.02 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Methylobacteriaceae.g__Methylobacterium.s__.8" 0 0.01 0.02 0.05 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Nocardiaceae.g__Nocardia.s__.3" 0 0 0.03 0.04 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Mycobacteriaceae.g__Mycobacterium.s__.27" 0 0 0.06 0.03 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Xanthomonadales.f__Xanthomonadaceae.g__Dokdonella.s__.8" 0 0 0.03 0.04 +"k__Bacteria.p__Bacteroidetes.c__Cytophagia.o__Cytophagales.f__Cytophagaceae.g__Hymenobacter.s__.20" 0 0 0.05 0.05 +"k__Bacteria.p__Bacteroidetes.c__Flavobacteriia.o__Flavobacteriales.f__Flavobacteriaceae.g__Flavobacterium.s__.63" 0 0 0 0.03 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Phyllobacteriaceae.g__Phyllobacterium.s__.4" 0 0.01 0.14 0.01 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.141" 0 0 0.01 0.08 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Bradyrhizobiaceae.g__Afipia.s__" 0 0 0.02 0.04 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Planococcaceae.g__Planomicrobium.s__.8" 0 0 0.03 0.04 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Streptomycetaceae.g__Streptomyces.s__mirabilis.1" 0 0 0.01 0.05 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__.79" 0 0 0 0.02 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Xanthomonadales.f__Xanthomonadaceae.g__Lysobacter.s__.7" 0 0 0.03 0.03 +"k__Bacteria.p__Bacteroidetes.c__.Saprospirae..o__.Saprospirales..f__Chitinophagaceae.g__Flavisolibacter.s__.46" 0 0.01 0.15 0.06 +"k__Bacteria.p__Proteobacteria.c__Deltaproteobacteria.o__Bdellovibrionales.f__Bdellovibrionaceae.g__Bdellovibrio.s__.24" 0 0 0 0.03 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__.80" 0 0 0.03 0.05 +"k__Bacteria.p__Proteobacteria.c__Deltaproteobacteria.o__Desulfuromonadales.f__Geobacteraceae.g__Geobacter.s__.24" 0 0 0.03 0.03 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Comamonadaceae.g__Rhodoferax.s__.4" 0 0 0.02 0.02 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Xanthomonadales.f__Xanthomonadaceae.g__Dokdonella.s__.9" 0 0.01 0.15 0.07 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Lactobacillales.f__Streptococcaceae.g__Streptococcus.s__.9" 0 0 0.22 0.03 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Methylophilales.f__Methylophilaceae.g__Methylotenera.s__mobilis.2" 0 0 0.02 0.04 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Streptomycetaceae.g__Streptomyces.s__.44" 0 0 0.04 0.06 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Xanthomonadales.f__Xanthomonadaceae.g__Luteimonas.s__.2" 0 0 0.02 0.06 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.142" 0 0 0 0.05 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Planococcaceae.g__Solibacillus.s__.3" 0 0 0.03 0.05 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Comamonadaceae.g__Ramlibacter.s__.9" 0 0 0.02 0.03 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Mycobacteriaceae.g__Mycobacterium.s__.28" 0 0 0.02 0.03 diff --git a/data_application/88soils/filter_onepercent/table_soil_88.txt b/data_application/88soils/filter_onepercent/table_soil_88.txt new file mode 100644 index 0000000..7bee27a --- /dev/null +++ b/data_application/88soils/filter_onepercent/table_soil_88.txt @@ -0,0 +1,5 @@ +"dataset" "method" "mse" "stability" +"soil_88" "lasso" 0.34 0.31 +"soil_88" "elent" 0.23 0.16 +"soil_88" "rf" 0.26 0.04 +"soil_88" "compLasso" 0.46 0.39 diff --git a/data_application/88soils/soils_ph.RData b/data_application/88soils/soils_ph.RData new file mode 100644 index 0000000000000000000000000000000000000000..b7933e13aedeaedcb1de37a5952475198c7b2499 GIT binary patch literal 87288 zcmZ6zcU%+c7cac(qAOBd5kv_=bVY>-W~BrnvY>)WQxOPAQAV2d4x!l)r6elSn}C4S z7^GJbVWjsWy@k*tH9$ysAAaC_Klkci6qCu!bI$p;qfp>qfBf&yzS*(^I9_V+JjvqX zsWv{Vu7*X!XOsB}cc81+*#rUtc<&wc%p^bHFsaTy#}~lMHhW6?^GQC$>B^Jem5%-$ z+;ix`9@Um>Yv#1($jxSb&(+NG!N`@_nae|0sD0!!6;3qIIJ(DtiEnu2kUnRA`t5{g z*ZppVifMoTv`pX1%c&mPN;2`Q<4tEVhRnB^3f3%^!d3a0tX|C_m-@Qr&M`}0XFeyX z1ZVng&FFHE)^C-VHEJ>0!(}~w3~uGx;+WjXrpB!$31XD*mcJ9ynSPSR6zZ0zC^D%M z@iTXpx_o_GH8%l{esAeNRe@a7O{%wR-eYw^D^ z*7i%?XE8}x$fHYRR$Gi?J&mkl4gamBL+%}Gi`{=4`^1m?vT$?QAEsOD``j_!>&=lv z$ChS(ly9zoH1;uGG~A*u)w7n`>GaQxMQW(``oeg)5WHFZ&Sh);;LrH(h5F{R=01ZG zzJe!p?Pz70(QieoxY(?UO>YyQiiRPXfc2G#3Qc1c>qf<XD)RTAO^r1hvNLom;hvMU^YjyH&P<9eZzdHh zOkSSLEn^Hb5tly1imwq6 z470s+26GOa>rEBD1KA4!&%3$WG+1;|W1`_TxeIZ!BmVRZi&UCM$4{?yn(>yip9;y< zS6!|Vp*KiUlAV+M4jt7l7>*yJow5tukCkrM$kWsnr>!2EJL;85UkMGiNEMRiRNS-A zGL<=!VUC!)DR;lGx68(kNpGH68Yaz>EK)yIKCOaVa@)MBeo^-KC^XZlbDtI%9UAK%leAthiVzuu_TTU+M(DXac^@6Fcc z3s;yl1$esh`hZYrYOKK}4T;MO?_AlB-@`0f!@fTKI>aI&RsU9veV2~?$#Gmmj!~XYM!d>aLQdaM9gF3`m&M9= z7MSaJ)1NQ>&pfR{Lcy5B#vs%+|8b=DNOw_gJ5!u2Bfw%(qdmunC8>s%sg&B1q`2JV z*q4o25!PR#U8C|!dl}dLEmB{_o>%08x7OF0IXqRKo7d#lmFYQ)7AkVVmwm(;fQE`DLddlfbsS zVb|IwWBcy*Jq)*Wc6YLVP{(%S`hH#O5Z}WXzVq-z3T(kxoP05H^D8;h0Y#f=5l*<3 zX@S{~h{95LdEciv+j&0u4SneEf6+=S9lP#gdxr5Ir zxYi*Vm%0KENf)`!U7OjJ!6a zeN9gs!>!8^BZV^R(YHk1^+p#0QsVC09xQxUUyB|CFI}AmcPw0Cez`nHq2N~Gx2G97 z>LhrwAu)E4k5xM4F)Y>)2x-lb^UIZbH>1l0%>1JIb$>Yo+5UOj!$f@;r-`VaIgA|@ zlK8;OdD-t}^Xt1KIBB;TA)$dsqKNu#l^&f1`5H&m+}f~`9LZmV%74t)+8QfTcA>3q z^-HN2I5y_7%`GWu755S$E8ewt}GFu(E?x*)4;72Q2xw1S=_N3OAp6DR@f zk+78^Wt@Ld@d+esk8;MEVUpS;xWi}x`~P=aGP97UH(bJb`nHa6!sCORi(Uf5J^dJI z8LS!IqjNl>cWtf4yX@`IYU-1Q2QEaxJR4PgyDy@|ThxjGZiSqe_pkJk~pomo?I&wn$S8k&M zVg?_7R&#!|4SQ;E+-+-m-X=W*u3YHd;UX&49xnA z|Bxv|iZzS1RB?3wc-<+r3SZN+{P7{a&f;k2oZeJmuP7p^61q>34@|w&(z0KD9tFuN zE0DOO3#B4MprXdNU*<#xsgwwVJMA9kX-al@)Nv2SsJXL$2qfD61;bF2DXVz?Lq3eT zYSYBWOL$x1Wias7qO5UX9GZ~4@p#@p7WtfXF^kmVGG8M_8g7H8GB=!xGo!wz!EMjY z72ZmirQ6Sbw!@7_(@t6bT>Tz2d+M$qRI)beF`jf&WHw(e(_PMWRN=>-ccWXGHx+t8Sa9aTQeon*EHFi9)J^PSZn0xtNW$Ff)Nh z-P?A>g`LjW#2ghn8T;C0z2`dZ=fv!O)HIxo+AzJlQ53)0_ULpU6n0FK+Ox3X8GVI! zqxBz4viTo2Nod%jI$iN@Yr{`|J)WxJIo_4Wv8TJrd>bSpyL&!bCDqfc5D7a zh$m&Fi+r#J)JC`;USruv&YbBF+&88ZCL(0as&qytRe@$0(lf6X+!=qMjD6Z6^UXaj#PpjF zGFWLzI7p!@40?ZiPV1`qAsyn%N?d9`cVfRpR)5CVPVR5x2NQZIfxH>wWISpqeNt+& z`>iB<`GC(m%~$O3qYxu3o+gy`4bA&^?2=0VqcBL)!gQYUCM|{mcL-K=E55$-m?m@y z!6Rk3O6w_kO^K-U43Twu_oYVGFXwR{@~*Al2`9B#FNW*)w~Ms$}+eo^5@Sk;ghOTYCX>WdWwq#I1nPLgjd_uxFEy}Z>;K>KRLw^NTxJcZs) zlUrnKE)1z#Ad+4&?OeIj*${y-koOF_?$oJ(3a9TcA#(Zii!_g~WZN?KHkM6E6Gypt z6c(>FgPs){ONI;A*%RzJ%D)vN1mw1Qddi@CI`)?OYr?#QGo7OInGPklZ3w13tH~>6 zqgRuvqM?0S;tyc5BUd0!R$AMbXXR@u97rwy0G`*d*b}JIiGyMLa)h5*l=3ZS?d4Z+ znm%A^yyt7G(a}R<7YV$J9)d#(r61i0wX``QqA%t31vp@TtWp*A+EdaW*cwrPKe5!? zgN+GSl|pe*mkoPlAE=6_BDG+~a`SX<_k$&NkNVugvZMeU;kBE0o%NMadq*`?mfiVv zjIrGkd(Pan%B9k+qGqiEx1iZ+?FF8Hy~?Be*Jp!Mii#xBG^=Ko%xU#`;)-|t*?Y#7 z_Cb930$U$eMO_@2}!P!CUA05olJO?l{?LdYTyA zNbXsD(Lup|@=&Uor|`0a=lN}ve;Fr7pmZH)=*!jo0q-5b8M|$hcA?gj%36 zM^uN;Veggx;V9#W=LnJO=yLP%Bt?zCf&e*4P(Me`f zkS83u)JTk^$vZD9_t!)+CA%O)PnaVME^Z=H9$LL5o$s%iaMxlBKLXjgqL0HChRIQf z5HXEcD!v&EDt;9jbD$IJ-Qv<@Un2N^@z#t-%pk8BBgBT70s)ZoWF5Tv=N<&~jhszC zSvTY{JxxvwuyS<7f2?JK!&oS5wu$b&!|&DkFlP|crA>_Vv2^ifV=wZZ?`}zxbjfqm zeO;D3$%twQg%U&l`-U}#bAJ=?%X z`I%cGFJ8<21)-H%`$RW3YH^xeJ^^>k-3#Z6z4{b-IxaM}5u2JtvcHivub2Gbpmh0O zPGp}bRj;%O5fZ#;x)jp{HIrM)mx8Lv@|iBTZ##Pbg7>yUkW=QI++Xu}>uI|DE@a7) zHCwum!H8r_XlA$DN!OFD#{(8!4%AG0+wq)`{E7Ie0co-Lf59*R8m6T0GU)rJJ zwF;-qNm}$}N}qhCgY~qV<<9`2BLx?19|u!%B@w-37=Qxh-6KnL4E?x@d-c z+uJWqR;OF{_D&;vTz2+5o$Fhk3el)PklO{D;Xr!k<^95jw;4jg9rGoppbOl34!$&WlbSSK3q65U)-R0(9Jdl+>hJ9HgQo4y2g2#hQuilD&+>G9^ zd9bFO5xc)4Tv^~_iRykgooJ|b?J70fuPf~N%{mNeu^|})j*ZjC78N!)RD$3TUDl7!bmr&P4WXOTW z#OF`CsEgfCsICUR8*OiWf^g@*1!U@?b|RI3nSUesDYW1i1b|*oV($AhZ@;4LQ5FP6 zqIx|#RI8+c%t8(Ghkz*wepLlKF+=HeYvyz@t-SRZ<_YyY>_S_56kPwWQ=Iq#f=k2s zqXMAzMu+*=>)}q$ARRg4po7OipYiqh*1pnbD5OJ{AzehDs{6G(+6R+jqSIfdZ{Sbq zd0RS5;~m0XM2t;~eL5RkfTyNRsT0#mFGEZH-T(w4(Y$TX>n*2V@bIbZKLeU(nX}%^ zuZ2%Fw6=3=u8f;kgeBkFvnCVeb@eZw8h~7Cto8r(O4n}Wiq+e=s z-|y-vb8gFdTsF+p7sT}Xy3(%hy)dvb6XoR}lACMj|1c-j-x5BUC9?H*Uo6wXG5WN5 zpL(fg2xkRXZF#mV{I4amR=@x`oe3|Bt_p>O7q|W!7&|uK82dpQ{=Sg&j**t6J+IbU z+8kRiW^ha%u36>%*f(8Kr)t!mBVvclW(gZFmp{8zA&)B;J0V~^645&N*h=~BQ_@90Wb}Q~UVCcvClmHlISLoib@<>XXg; zumEpg0XO_B`7mZ;x@Zr0#(v+)J>G1grnK(Z>Aj$npl^LzO-uOVH@t%LsMvem#ZzY^ zQJTT^%oVe;aG}wRE_Qnd1}B}#BY5Gx$NoMGHxMs{BDK2N|@{Hzy)kr1eLB${0M!X8b?K9|5x`@-nKjub+TAx)R zhHu{+3crn7uft3m27K#fQQ1|Er$_)z8pOUgkkh>U4DJXoxo2f;Q=Tw4r^z?B&veah z^D~_vR2Q$UUq_@7NvKnaYjP?r(Dq@+>?f$ljAf-EmsUQ`02)jY+6TKkWZGfF3T{fo zGlluUukcC!4>$-j*vSqYOVGpZA1hO4lsPQ7N@@@xvA3nFGpu^-ty7ts_0agxxovwVLBU%})??y7S}Ax`gt~ zP4i`b!vdpImUoY1Udm}HPLtET{mSt$;D(#zix_Ebg;zUc;-3a0+c$E;Msjc?+L$Xa zQQxRRG`^%~x&PcoD0M9?cpqT}9NnkzJWp!^kOGES5&b`da*SL#z5M>ebh*W!w?!n~ z7fvqO>w9m6zpU_>&@{g50gL~-JJ(?7{l5^0I)r96xRjDx*R!(v^$5vXw+Nx|XDmB*O5ZVv%NNPB^^X>f z6=7c%V*D6e`2eqWeWhUeG5;Sdi@?*9u#b0 zvsB!daYcH)bngWGOZ>t$IQPwo=r zjT)i)`zh6Pg4zJXnI`+a!F$kx*g9{EpsuB{DWDk4LHo@Tb=!qJ!VlUVO3h@p`*__))(53L$BZ*9)}MnS-+QvraBva#?KyJ`DXgiQfwIa!82N^6-roR2k;83JSMt9i^2a1PAXd?xn-H( z@BWHv4o#txPxz356g^0}hmC7XY82@0hB9LADVDw5#;C=P((>;^qVuTiH zqao@+h>a^E#79iD+F*DhLSjfg6LCnL*h=^|oWT_moDFx>93c7pD6OhRhw>Uk@%h}K zGNI)ro3y#l^=3(MomEe0PVGL)84I@UjpG+$f0_=T9LQ88z|17+JYieR6ru>=vFZ^d;$?GADsT$$~JYR)o zB8)4?57zFEVvA+mIabd-S(M2LZnj+M9HOf9TP}k)({2yJWi-OQJGEg#>vb*Wr4d{E zBziHNm?6M_;RKjwjUiCNG}%#{FT~gSoNwlQ+?$pS#UHL|4;iT{``}aE5I_y&l?c(T zWk1A#YqNPb z??OOgOjVNvDsRN$Lg<3m@Ri}^?vg^$SiD|$(Xj(HS@%Y8$j`I4R`T>j>KD3}vv0Pq zqix+%3_O)gwwj*H3$H8}Dj$oE_*l*Pd4cy=>{&JAgef1k9pL$FPWz&EGw7*^v5#=g zD8Jw!LLkC%4~Fjs606VK`*u?108kHW0sy9Mcbw(FQr64(u?JK@rWP%NOqZ@sfotZA zgasy6xn$265rU=M_JR8$48TfFEVL`ct2L2}-P8-0RhI^yTQK5Ou3w{W{w<^D2kAvG zX8t+j3LsLSYW7)y)Z?*GPCOH44N2egIH35N%5}shwRKk~_)&eg?Khik0T-j_WPQ%K zvOjYAvI5^NAHQ891BwX)u&;xCP+fO0e;dnfnBU9qCPwFm=m9R58!Zu#%g_>{xi7i8 z^Oj`qK*eG|C#T%-rT>(UTifwe^Cc&vUUyuscxFXJI+jX}MaUaSF@CuCV3n7yxQUbO z4I$&FI*6#j$@j<1xj!ZV42&3y8&mHH#BBZg52-$&;WE`C``*niq>~5h)G#ZQU48C7t6pAEyG%X5BSGyo-c!EU3j2~K-?%8&vVUs+U1jW3Xc+efakV+v z!!dJyK;h>>ZLQMcmz;1znPd^#zSW&V4f*{|v8AsePUbGKyui}Nt984+Teu_Y?u!HGDeMpQ4O?PtK>#v|&5fDFY2 zH+TZ3k&=zV-JEkzbm9t3V<`SGOBI#U7ms1GPhg2wMwR_cfj}tzK~U~!$zJQl$;cuB zZTs`+RkLGRR9=f;Jvy?@qf!$%52MP`!1J_{gj0*9#6Isb%I9B{*81`&L6)nTHZQ?c z%;!dber{UjV6sCi^q4;Ix2Ep=9^DD7EBHGsz_=g8agD z_TExue)<{7-g5cN2_8p+n^3(|HX|gLa)Bzcp~>UE1zKGDCzqiqB+qK=y%VuRy>+o7 z)45S=9(r7T+`9lK<#pze+1slp+OJhoUOz3%$U(@V$OnsEp$qEOMc&0Yi8mtn7x#u9 z`+{-T#r*mCp}3r7&PccL&+Z~w5#0{wLA~^rC}?ULdEe}4=_7Efc-_OqGc|eQ{L9}C zZQS?8dRo`IY+VcC?AJMJ-jP_VoDZWUJ~^URkXuWk9(M;l55LRpx%4C-9f`aecX*Qg zW(D_C_u@v17#y(P6*x2CBf?Jz4%PZGiK!yz1F}s1JOPxtVu#sZRq53bH>;r*Eqi6l zc_bYI1sfyw~=bCu}kxT3BM2wP)Coczh zOfb4V#P%^Z#qn{tY*&2spw#gU-KVWkf5pixTLx?bZbi8j z=n{xS4}CZgTSD-xq5tc7)*XX@nJ3>z@M95;#7jN>#8^6PP{zIuPW~Z0 z^Z`oZu7hzHyUm&=dJKRHYCBPjjykP+>o4!1MsMUchzQ!2KZXJM+Lo-qH&BlVBUiXF zU5|)HcP>bng*F?OQI9&7J-^6+>pXzOmQshPuZT2CO_OY}#?+W<{^&p)G9)%O>Yk&z zM`s}G|JpiQa)z|h^jlk~#E2OCbZ&etG8C0XP1KOfz5KqJhey{x(E>%2i4Rg$cy$}Y zSBwk{1xFP1@%=mM+}nFA46xOk9y zT$Na~C??q$+^MVZs(d-3F5{AP^MI}&G~In#Zc|3HQ=b^gk_T$it_h`HRyK~$aX8_r z@@<*Au=4!J%&H(d&pmYz6Q-T9^2SkYy!3$Lhz|1|D(o5QYlrSv7TK1C6HY^5I)wLN zYWjr)GDtT+0Yst1k9dx(D&33WmV-Y(HmAR&EM$o79uZc-|+_LnqWxY)U{D_ML$0PN_Xd zUbRKpqmYD^EO_#Xd4JrKLtn`RL{hX(naZmE9>jCfVM(|S-_S3$jY!`BSLP*?eHbT? zxP%Yd8$ic|lJ)}2D$kKTK6BbS!yP#`9&u_;sIl*^e>jwKR?v&h-nt>q`6zj-ab7VG zhgGiPTH|B@jkN zEKzjNIR$+?^-h7WzbgvLMO(sIs$(4!5!TvX1?CGJj(FNtG zsQE2FXm1qz1b@M{y*{HqgLZ*wF1JmN0u7^8T54kPbkq)*9(*J_cuhT=DYt6-Z?7Rw z>GR1HIDl22rd8g!&v?%|@BX=>gdKD4g@@l;&o;kzXa6bC9E|DuEY&AhV;{6D9--l! z`r|6o-Wzvp2x-sIZ2>fPwQSgAgnxq9eHtJy!QTy+yu$l+o1!`U__Z+6v#p1oZ(Eu; z8Y@lL+f4m)ZP(?kh+U7NiP=^&8c}Pt%M^t-N__RI1Cr-na++5xamq z%$&4$s3fa|R-t{(@PwN$2feM=L5<^!^XBb^ zV|nx!@0VWu(D)QJ+9?Gnxg_aXstt#Xf~!})G&CId*NF?uw(DKBz-4P_IQai)Ue&ea z@#Q3cf9bs2BM~t1;JPuch57E2nq^^M;|`0I@15ZNOxuqDGh&1N{q<`{ zeW~a82@W0y9^yULF)8fgXKDs#_aX$=(q*My^pgev9Ir#!o`;Y6Fdmh?4ZNNT zct5CK;bW=;9)6C#$f9g!2>BCx27K<{LX+st=lWEeBkIpYOFE*hE)rUsXR1VO)pe$B zhVSQ`iI!y+v%{I$Q|rh-V{-?WJ!({=COsvX&V8p*@VSM4#l$(u&^Tv9S&@JW<7sr2 zuH+Kr)C!57x=bY&)_#B=Pm@d4@$0kPwFV#NN|iNP0K#BLK%{KM$!<2J z-tNJ6+2geBSc4Cq4!<)d2+nvrMc06`{0xj3HI0PD%?Pp77P9V`N9Vpf$igDpWTm8ck@oTD6c)lPeB5l&)3c>%NMMjNy#3ROcp|+w=&p z^^ePwdugI%D7j`AMM>6ZbU*+FA5FvwnmZqLBLdNC_ z#}%vMpZRDn@ERa8Jn1A`uE1|^q?qg7e5uor=NKF{-)fZ(zw#NN zd|#~quh``>U;WfUtWx*EYV3g`+(pvieQ@C^VG@CT7KkuW&D~RX8+sXPlf_ z@10wyA_8zYLN=V|{%g>P&EGCIY0fY#-QJqH#At~SIEy1>T-K|&VYL`T`8^|)|Bid^ zM&WaGoV`dhtoz$nA!LT!0sxX~pAYruo0}mLt9Fr;UvaLpCErfDzE2&-)EE*U+VL#o zI1mC1Nqo&vi3Fh53zntgEf#S;j!&$I(TSx>R-utM7?K8 zUvp!ONj^TPev=5>BCTNDt#E%!Nl+I8BL;1ZCu-wGI|aCxX`IoQUF zcO81aqX2A~0<@zF z>PQWG620wlUv#Ug*0paW1`o)+JOp=4U6*}#-|_>zcZ`3z=ORASR2m~Q`Ph#qy-oY*7IEoSBh&bJXSuNos}S%%8JCTx@)bG1};0HvOd$t z(>4w~g#=|?y)G}lPt+8X9#a2=R~yJuFK@DL=!;MN6n5-O9TnKJU)DqQH`pmyybb-u zCvM_uJip!5T?-_4H=@vk#jDezBIJcrsLGMMeyK$>fMq8m`*CI!dxPg@e7@V{*2toE z`!+9OhapCgNS}5>G4gBdYTj((_-!eK9((p4p^@2ibX9uG%@^rKJ@_0lSmAdA1R^@@ zHx9ItMl5+#j|V~~E2Y&L#Vif6-`eeUAM=2mSFc8C2usV1caR>V)Lk~kXeCmrQsll3 zAyQ6jCr|PYIJ?tt-aQNQYVw)dO>RAq4Lj@RFopcP*%1}l?i*sd=E{qemV#fX+!%lN zJ`6;)^7HK<&OF7ENBF(iCdro(NmcRicZFI>0po`#LS!7sGJQq>_?DvkayFXh!EvJowb(z2S&QhEiTvCr{lX(4~?@QU{dKK&(y#z!{IwD!AKc z%GW3fF2#w$AMPz<;N@405c8$VuHLkBOqZ^$MQgKEleG7lLEZ8G(js$(E|v(-?tcc( z3p^gsW76cW5MGbc!to8iqy&I%pcdFCmww|S;1b)>1$&evwk8x9^+&>xR?%m_!|2P! zgIE5%kaEZM8n4NuV3|W^8tGy_(rG~Tkm)?A&$|CV;5P|!P-{(K*1z07KNvn~SS|j% zeWn21!FaC`(sb?#u!vA!W?2uF@{?=uDD1@yYGW?tv6GssQs+@pwq*m_rBrh(Q^OPJ z0U?3Oz|!!~I$oY)AAPGLx4dG>K3aG9oz`D?j`Go=m^)M92kPCf3#btVeIs+|#v#Vh zg1-gfeTe8Z(&0mZ4fRJ{u27mp1g;4FDHuMmxcKFgENB-WV3QWe+d+-ec|4jrpW#Nh zGrL$FpdH@ua+^}O1YB(wh+RAaI>2ltDT#~zO_`V`c1Y*0TwH`ad>^>t6{<;jjWf2S z4PeLMPm;R;gxQLP{NlGdQpEx*g#;p@6kWwh#8_9nxiz74?!ez-FyQv9gPW?hC|f+o z5>Uzg<%M0GaNE3zhw$5&1F;(!xWn?_VeQnEo+dGlM)dMxz;i%ue=O`LbW-^j#nk$^ zztMq7c67h7OGHDtYEp>IsC3gT>=vk%9qZ4Khk~G-hqkmgS{pzVk8_?7yk^X>T|_&b_(zI9w%HV- z%WdVlIEo9Vixpy|UBvmm6r9h{8YCK7oj*aKh%GtF-EU5)X>5{#*86prsiV8r__rV_vuIv9qF113Ac0L~Eoc1VbkUH5E`kl*haLklf0G+6} zY2bVBzSjb9LwR(9w;xDvnSddO;|FJa?}pk_XlVp@AFF(RM#pZg_1moMuEnQAnU8;C zBW5Z6DIiVP1Ki+!(d^vMKk$m0qyy_{=E~lgh z^lnZIxVc3ZoiEAj{fMN(quqO6SIN@F>?z=#d+?}x#!nLi_YP{vf%bnME~FFCh~1ub zEt-}x3j#@?8IhX?wh!+Oe2^I2v1BE9+6=YbL_-|aVvXLPE(+Zbl2}kBdC@S$(Z>(O zvfNUl9Mrn{)YcJyfKg+3;uxVd_`yG#nQ7ASti0k??5=wAj)K$4>bhE&bsHk^zN>qB zRqzOS8_@fe5z!lRnvqbhw}-RR(m%tvM~JaDx&6$Oz++z7?#TeTN&g8q_-ZD}=6rn7 z0^^r>A2p}QUf9~yIAf<}NC?h5`zIpsIh3#t{pgdt09zBTXf_8Y3?)-sULhBV$Lt5C zYA0-&V@c6!e$Y3U_T`7XtVkg_md-?s!IF4A`g*TIR6#P=vZ}yqX!?5nt#GI-XC2PT z^E-5(dp1o91ZrIGRNZA#g$`l;{dOkDe^$m1tqFH#%GGUh6U!A9P*YVn;+^PVKf~>2*(}v2jQ~ z%>xJwyCK`PrmAH*P3vvaIZ;hc+ctpr!;9nM;sd8g!MmV9!`XhYVNCXf)yT!&Y1uo{ z0T)OL?6}1y?GQ8+SvMCVlPYCxv*>m>x21$~|Lmb8hlWs<=H>o3Seb^kxh9XiAcNH4o2@Z>W&w_J!75=fk-+RxTFqa*E%PRPOogC@I4q%BcXudbiFmr1=d|m=} zY(_tKyy_(dqS5n95k^MN9WE35=o^n|Hn*ybaeAF|ruo0EUwx;{85X%{19DmE>2Z=t za14qDvY9)By@zKnVWkqiEqQHC@MmEp%UaJ%%*yJl0@g&n?MVLKL~dD$AVMiZf9eui zhsjxvan(T6i-49#jl4e1=ot}0J#BaOFi2KJzK?5dx^L#h44AacRn<%Mw*M0pFLK1G z0paa`Gi#}NKypAqnvT2y5~gY{^yX6PR3Oj=ZPM$}Nx#GFV0*y-c=lVKjP`f!L?p7e zuknWSlFkH~hJocI_?my>S^s1HPmoYLoH7wn>vnqAl&Sw6Bz(+(-sjk^ycD|N zF1wrb%5SCGrc6_=vlbm(_9Z<9js5us)RWY0ry*?5G32pjLp0JQgbpP?9O9H9__4%; zRgHPp*jpgjZWMR;aA5&@F&?wVERo4Llh&Umr(jIZ<3B(bnExeL2|7; zC;kAU?Uoqa=}NrSXE=Q`$$^*Yrh!d#!@4$H7Y-k<_~mHrgm(GSGx>;@u$ymbX{(## zzMogv%-Xz{V(zdSX^W?Yi@@FP-B|>8+5N`C9LB=5Ia>u8Cw5nmJ^#!P=GAf{qBcuX zgAj?}Q>RNm1>pmw7Rc#m-?cqCAN<#8Al|y2s;crv8ac_VN62!%i(&x#)B`v3;ludG zGYY@1@lyr}5;HwMz)=pUf~KDCUUbbP&*h1101i1km))nxw`IHX&kBOpQS%ytrpV;^ z9sC4 z2n7dzrrK>aNykvFs)f+oD@4U9%E z=OaS2{NEpaG@jA8I}->$?NK^dok3DdII_WF$txGm2vNTvl70*a*er58Hi_N7TUmdEsB2A-S&D@_yI=Tt zQS7}FwC-5CzMZB9C+f}Bp}9PEi>tfAtL_qHy>x8!MsT-&)IS$iIX>7dm#av;ce6a| zxYbWe&{7A7gz-Cll>uLyU-z&Zjc3;&RQFH!{EX1I7gMb ze+5GB&6lh-FE7O&Kma15CLwW2!E8fu%@OzMz!j{KJUyARS{vPdB0t6SkY|7WM-_*O zlG@p!q4T}%x6BEq)lR-qJx>3so3e$c_z5M}#;H5$v({s4fWPb5Fo|xx;*xECcfSPO zQ2NYjUL>|~yt?C#cqu|_#MwUKzSbaJ-rx2}NmYf%Qq#br)4K0Tau-+Q<7)nwY}~R( ziP3}8mQ_&TpKty~C{_ec7jt&m!C|qER*2$uIDr9`d$1XAXU^3K4hy^!(}0$?+h@)X zir8lg5grl;bMb1XKN&8m#X$CGho%>-iOwbmK_-pENoJ1|s>=W+Is2sfkAtSt+xs*Q z1AQIzxHpcV6QRTj)e~YZ2)(;XlMvX+@pfv+D>#S<3;`i{^1txpuZfUUMAIyTu8rpVu#eW%+)tDi;d{^bXer_r{E==AV# zyiXSNJ?M-GHKLJiFM+cTy(`lu{tvtQXM0&|9{vE|LTLHXJoE5<0AB5`tXO0Cq5%c} zdY|am)%`*aKKH?$sI@K{Jf!G6N0HJcfWXl*|9sRh5D`-R1=f3pKu4NrM9-H&lVnu1D{l*DM_?~iKM?^jG&+dJe({awgHYRY+iABic4S*cZfrwrzlk}qQfiXaMna;jx zNC2T|?-_EUu?NBKC+0_zj20ns6EXz&mm&X?5_Edy3iF)1v7-BnYvMO84)Ri^Q4q_xU{P{Up(@+UQYx5(;^I_E4!$ZGaF{VN%@+K(>5Fro-Ij=26teuT)>Hg=o zapk7Zalj!FKnM|e&yW`6J00~68?V0IS@K;U*d*?oIZ86gC$=3mOeUY^l)OYHrt0}W;2-3GEF)HH$jlY1JQ@TPNAfIaSon)#rb2PqNSe# z>P}8ip)-WtHo6~p!)%Q}a<#X?T-(z4-TL`KLKkbhUPy~$( z@GCwcfS;YmBD~1H^(cROk0aR2*wJ4%sD);oF*(0Dz#>AuAqWGE*E~aJIHC%cE$2V{ zXpP#2x4UZ#7i!aP2>l$0pF418B4VIq4CxG;zLX)iteZuvt`I8qwegK*0Z98f=GS&j|3{Vqx z2Bry2&R$|adh!rHVhed6`#a*4)F{?cE8rktzRDvAr^J;k3`E}D86~l@X7h^nbCk{k zMlf8?0F<2qc4OD`)2Dt zk(cSMmFg9J00E`I1}tD{7@aHsb`NAX%1UdB51@6y`TOcN=sU(=ATR9gO^p51pzFRQ#8qx{#8v6aTUew)Q8AMCs$<(z-9h;-Yh`BHb0z-7y_simNB zkoe2n+uY{2qDVw9fdFAR-wAMkUsP@%5b^EJ6mVC{*gP zv5mL`AVjg(i_J%Nu&|Vxpq(K2+Q;e7DsqtzH4<#@Y_Lyj$LsM}=Xm_?V`6whYl4_i zAI}Sb@jB%336#$f({kL7NAdjukrM*R$lXmsP zZaFyTL_K?^>yPCc@_0A|) z4%g@b8vX^4cPgb!E*2Hz@#L?=lau)-&NlYgCYl7 zBKWv_?WfUq#Ht!soK#yNH7~Y0!Y3sT-lo{|0jdsyZ!iX*S-5V7d`Xo<(xJ1y9kN8^ zCOVFVI|m#$xn__m+V*L-lZ%3cqD^x4@8!P7jk{|tX!X@Qg*G9p6XOxD%4bXS?FH-6 zcn66q9V@5{eQ^s5OVwgwjyleT&NV~*om~a_T?jZjj%y{!!v)qcHHfj^c>hCi zVX5kKvPx8 z_2jF%x?4YvoDKE3z5>Y{Yj(C(*W&iVm%7iZ*6%1L>Z*^I7woxSC%mSM6Zw{h(!V+6 znKA+-VudaIy9Dy(4CLz_gM0+|%Ud6(vcrTsoo*@3_v;+ha+ywpGUl3}5tqu9imjF2 z3@zYuJKV0%9E=uib44@T<5JuJ=^tD<|7HE&H%F9}PLd~~U8=Y@n$g52#AxHv2!=H= zE>ZbIlJ!#q`SrQZ-wp1jI zPwkIKsiv~dD{`=^R+r2NL8oK1I({a7>&i@l-uRoE++6C!OV9l%?Ws%GcLLxqVukwV z^d3}X-O?`Zo%|MHlOEpIb?J&rU3UN5e5=3Z%qg4vy*|l#6`m!jxn=Di%{tqUwYl1v zT?klw*ZOE*0dMv3JPT3g;)C^Ui(snlyZuXNy*~d+GVOef{n*dmxeDLYnEMyr_+sH< z=f)_C)Uvo4oyFLHjZ1f=M|j$={#%=lKGjwjNXx3P=`x38LT@&7Fk~ zu3V@mkG;?d*?KjXE%RHiS#nfc{j$}w)%Q{qA*W_l;J|9I&1LFRnTdO8PV*p;gTARh zd;Gt?R|GJWuUT)yxSv~t$9hWl$`FcxewYrM(0NTLxXE&*>`!kzO1reTJ@G(j`X)7N zu*g!Rx$mP`fTp^PyT|2XKGp_=nX@bm zuGOCiH=U3-1eaO6lWn(}Bc54|>)tf^*Mh;5y7;L|IM=yhd4nquIWPKPbvm?s~p&R(x_3|t!M8{G(L zvfxR(X-iUfHIsC@im31^GszNY3U|)V&}^zb%))r0)1x;kwM{VPj}f^->fwoAB~ZH2`+G?oarwvM==I`TqUUPo1vlQ}QKO|~unkVqibihBEz7`A<2 z<)35W>3{g7CB2np#g?${dThdpu`85+dNj&SnLTF{VcuSGV5MGD6hKPRQ5Yp$d&B(r zDLmx5>*}$6?N{Ei?kY8{T$~DYdO0QfVPNy2?xEAwK@KzbpTd}*QwQ))V0uq^`d*VG zM-MGJ-Tg$ZTi`0dvJ}lPoZ<r)*uQrzd(js&sxJauzQN?!J6 z>MZ1m_{7vl+)lw6e!MH8rTa9j9vt(gq9wNkk&PUM;MU9yx11|0F=K;a!eamk&d}k? z{84h%jkZU=&CsUuAnfxJq9w=57}L>@6EJb_HWkoLb!?&f1X}rEVQ_Yy4t$4So)#?m zTa=nY)87{4n>i$$xMV{+*{L=N&X7qG31hVw4Xbkac)s4EGfvs0cT$4pFazK;5_Mad zABO+%**`2Jvn|pvk&#$*Ip-gQh0Ux5RrsYGyNpTHWJxq*^O>GQI3`hjZL5vjHosTB z@=!x_e&+NNaiwzhlvezWaWCv&)TMv7&76l=A=kT}oqRXB#7S|`#K1CN>f7h#{LK5b zH|{H=%7R3p$ISf)6<6N0MgC$!3#V>3rEQJU{bDbh-2U49a-m@eS*lvsn2=?6>^)N> zII(3Axh$7ZHl4oE-0uIP_-;L!F@N%*FFBScG(g=RyC`I&WagOX(AQGa4MY-Ac13(A zO$(O8<1k`ycYx_b((|Ii>}(4)oxdD<93NHQxUm?4swUXs(!bB-xGy*5<;b!>*JJI3 zR^LOa`%$LP2|JBFt~wW|Gp~(ZOLR-J*JLfdnY-hZ+XAP_Aq2JvzVJl^g#~{O^9msWYp>rLpdg$Twc2KfDn_lRUig(oy*3^9$8% zT#o3K9GPzyn)HVw`cl8m#4I|SGO94;MFyKT9B5WN#V&(?Z(sv$l};YbxJIo0Jd*-9 zggigWrcWpR&$Z91oBZx#bS!+nfVTfmZ}}`#*OxM&-z8kU|j?EfVVGezVqo^7&_D0I3tP%SutaXEJU5Tb7pr=0T?4&c1FbH2&S`5$ z`o7NjUfGS4B&7D23>Kml?GD=Uvy5z=<*Ln77B)%ToNGn{P|o*CRn5 zE%iUz>zsg{UT^Z#f}rI6I``yATq5;C3b=tAkNgD-Py^T7_xht;w$>thw@9n#$IMamyGb0T1o8ts z$fV*FVD8?)5qUWN?4j=N7`Tyc^K3>ItE2#1SD3@fu7{!dUYF&nGdpBZwpZn!X+T&nH)RC6yNl|x}kyc^Gb^fz9|$N z9Ar(uZgNb8{kSi658IRQIKoku*;vE!)PtaGme4U z26l@oeevK@Ne^h0_ENd1;a28n;I@(&x|1KIe6*bRW9Tv&m3I6LPyqUZsGU|wircZv zD=x3a&7xygyf!`edCN*Dw0EVw|nXa+WUTS8xl6EMrE^- zSgY~_ri1kxj|~Xt^Vw}{MhVM&3m^4=0TI}(m`F)@W-UU@iBFE+Aj+{$!RO?o{)0QPc|#szUq^BJzzzKjFUVe^H6@UL3_ylZ!H%*sL~eUF-taA;g)(f& zDfSmMm1t#Yh;`(U1DJ12(Bv~kL$eJ5zXFWI!6YDAq~ExrR`kFGn+TRQ9+pA$FT zv7@*fUzZ_Sb~78h3luCT(8uNulcz5AwNEdFpc;(1DOxM^_l=N~H*R*4{y5&1Lc2W{OWdwxa zwC4FK19m-o6nXuH+SHD>i4&ooy6zeo5@!*^GcXd18 z!_LkLz7sGaBflj^EYbMhXZaNRb^}nE;voD$HQo?GY z;abKRjz^E~Zf{$&f1}?Gs2+ zcx0EE`+=1L?nH>)@N9!j(jFb>$xB1MVQ7#z6H>Sw6{gqpV5VQ{$*Q1hP2@CHT}E}M zeIq#xa8Xz?hMUd{i)0)@J_DznQjQWpIFg1bZ+{h9y|TSLH#^A&o6o|VaqkD_U!e1& zBw$V}R&aw4S2p&YR~(|z`N8RDk4OM|(9L=ff+m}{3j=M-hR^UQZtiRCib$Ug@Fw32 zV6-V*ILt@@#J#=!GvrbEL*JHa8T)2(;k$`{(pmZ2V2imWf^0kkzc$36V4AAc4kKb1 zpbm<^pH%K77pm?~6`Hs>8+nhwUL3VLF2=4|x0#Z1N%$3mgX9qvgw=I0@(ZG6m^iiO zt3Lg^=Jqeg_jy-c9;FUxNVkL z&Dq=k@SJj2CjwC zQ}Veuj~L}p{SRq{jLwGKdy7YH6ABrbFGij8BUJ?ZTtH2Llr=i#n%Bo zcU#q5!39f{!&@n}!8QDxyajqIiD>J1k<3mq$t2&=N#tz%S+7(r#4kaqqr2(cIr^T0 zt`G;+Y8_Y}tsOwB$`P4Z874SD&qh2lU5)1AwdqMkP|J2g`7aXi#-wHEP-m~X6^zx_ zc-`xop~K{|Q*Asq{3txj{Ik^td&6KsSHg(p#3wy(Go{Vl4ktkDATBb-U8iqi(+`9a zp2_aTh>!Z>#})Np2-*SA3u>mreeYYf*Az9R{;nAE6AeH|qAUauE7SimF{vT%8^(2m zT829Nk>TMKNG-@@R?tzZV;wte=q8F71){4Y5l7-5bjBz%mcKTEtMm*)SAJYOOevMz zBX=Ow>kWLubl0t_=l!xuw7(W|cARNjP3xs6@vk5oXqETLWH`nicC(yaepUQ}9p?C- zl*ZBeFzIW}O5evm-R#XY@`(!}Pq!};osrz#C&|84_*AZ;uU__nzr69X9JY=v#J%H` zbliIla}7ShF%D5@ZV5_+or9=M5{tX;}q|f z&E#{6wPNBJv&^cRXm&%}d)KZkA5JcI|7+)LE|C zXr)ctinY_G>46_Y$h{VHMc>u7$_2T~**~W9hn^fQu=MKbkc)V#=HfUK{kJo49MNoh zO^V^GXA?<(wl{4~bF+@VdTa*JFrl#AJ8BApodqleoakx642kx@Bge%tkFSz=1B)v_ z1o}>{Cxr#>Z19_M^x zX;_uxX5=dEHJypqWxm)+O?(R-C>V5R-0~?nTmA8rDnr3qJGOs;7gswZ4O-2cp-1&n zaz0meUgmSRyEk;(s+CIL4>9GLbYJG+j>N_tjxJc7IrpN%4)6KOM)j_;qdOK-$Fw48LMG=4MAA} zKl!XYNQqToH$2x^9!c*tFMTV-%-3Fuor9kY){n5=083F9u7?OSEBjL)YElomB7&WN z$SU}fYjmwn;oo2ro`$h=0<34-?k7H_Lq3M^a;+kFUbkVVI>lgsELiO+lQJ}$XyeU$(+I=%->hoH>?b4P!@1>~4S*d(R?igaLe{E@@Xhun` zGjXweQ@1WDPx_V|Ccw1dNB)~7E<^gW=MV(ocT`TRF1x;x(#ju|x4NsP5TxDppk3*m zWI3+Byu9P&p`nuF-5wPyVXrj&C7P%GYf!cg??kSByH0i8?~q7Dy%NtbcJRCJ0_y4X z?{v4Iw6B9zjsm%CIU{9OxI8>5RAAk-2-ome*rI1`O7##}#^8gohTVb!(6ZAlhkf4* z0Pi-s(R=4Hox?m)bE9*sQM&Y+gQlIMTh$C|%>8vGyX&k)1!J0<@ER8Y7q%S2qdFTLc)%j-&*A6H?4PN6<)^3BU6Fzi1wB1;mdS@Gs|ycG$zHP zmTzP_*Q{L9FS%tPZF42BgPB+8@(GALAFM6>3<6<{o&&A9EC7}_vIjFb=ePa&{QJ#6 z55kgVD67G>#q>RXunhRcsUBd$V&&M6NjJI>C7kYG%SZBeZ+!h-h_x)_q3FMD^R=7! zA=`>Q1pRFRIrDYDTCAFPg`Be1-q-rhLc3h8Ag*+`mx4#<*cXqO3&s%>-?t=8K^4_^lSY=x2xnzaFN=1wyg$RJi zQ_hMn99EEk?l!jD!I$d7@I(Fts}Y*DTy=VwZn`y@Ps>P2sx7fh$h zA*9b-WjZRNt;M5<^%9zZK|%Jw!~u6Wjou?WEmz$$+0X-_w!W9_x6;3B(*{CREBE}0 zhg-!kt_uUAq~9`C_OYnjoko~97H2*eLU>i?GiCnhQ;gW`%;MXJhQZfn!<^HdW zjC0alzCQ0jBfa?>@%s6~q9hU

    JF{vxoo39{dRRL`|E~{mGg5>$4b{A^nT~qU$HE zN8`C&QcT4Hm2SUCa`-Y&`5e_?SD*k+>|#pP2dBxgM+a{{IqHAP_~4V;- zmc&k|;kq^|mE0$zI=)BwSP4rz-BaFo)Ecw@u%YdFcUR5Z?d#(|w*{bqDrYWykjhv; zvSwCDwA!5UmwxdvjPgTgv(^7}+pzKz0v-`Phr$i$&+s8)HcW-#FX=GNSkuu>^%D>B z*hYlM$ln-bNqu7%f~tvcrUm#4UFEh6Gg=B}PIztFaaf>UWHbVq`S!xmjifso>3136 ztJ8LB*WN~=<){C_DBmfgXMB?v;T$Cy_ab&{M91}#a$If2V9u(asZ@FT-<}(S`+_p2 z{j4i~zM|Z%g=SaJwKv~7?342Rf-uE;x8SJmo0{I!mVWvBf{s^CMoT|TIRg%e!F0Ij zr5#9uE<{FtptGaItuneNvvi`vN(}r+WpAwDm9xAn2w?)jW@ys#UA*k&8 zb(axCYvr^yZO;W?(k>shv%uq>hME1jSH*CjH_<4Hk@`WcO zxP|oh4#5-u0+KnMU)1E*$8oCaeA<2bb-i!Yx~zT>J9ao#yy)0Y>f+>~(XbbPslV6R z8g<0{Qp?M>B)zHUNK}>1_n5z_#Jy*p)~D;{pM{T61taBVah+?CpOa(Cx7LBd<2_Hi zlmx1bQe33Sn<2OD8T3M%$V|mVtO#H2A^#!$az(a@5r-=uLf#yn5wF*AGj4=Iq-$ri!^s0(IP^-HUof=U z)VsoSs5Dic``$HhhYEZ8nFli}b?7G(`oiMOAKwj~*dO-Y_hl5ib{*NAQTcx2NSf5|9?BxlF)|r??dL2s|yN>~-jL6On!S^Fa*_zdxP%ZDXC4ocf1WMkTvlS1_ z!@)NnzIgoWMhZ>tP2>W`7F_`4s3&OA} z_$tnyn|_QYyUZ(utLhpfl-FL9aJLZ&ulWOkp})QR(Xam?HT~gN zqExDy$G!41J@BA-ffozFMz-k>18UAUXn*n=isj48!L`{R)(YpHPRxZwDfZD>dE(Kd zUo$*PRtlc<_lAvZs^zNc)Kj;Q>RIMiybM1vry5`XN?xd~mNJu3yfux1(XBp`z22zQ z6p!Bgi*La>g|CF1kvTDO={9R7jA}ui(Ep;h^!S5~g>LYi#+Gw%yZvPnlxLSMh@#2#5HiZoC)vwJ=FZXSw#NHk=p@`D=0QBtWgOEe^%Mvv=U*a-i(lT=cWr@`q4xp{`^Kkz4O zb8V6>KR85C&%+B`HJE7|x2; zW`+5>MXo4(yvOp9N1wGO;XFF|RA3)W>M?!Dmigo;+q6VJpjr>tRNuEIj1{fr~3zFh3%A2f9Pr@gD+@^Pc?$AfX z+liowA6IY0VU3!xN+(y6QhMq#znwXZ5lJ38V$wM02Ijug4@F3tn@xF|1KpbG^;dUq z^qBo|xoZDf*kjvwAqZ2h(N+2T4Unz{-&c-3m;Kj|d-@WUkhS%qkQTnl4NI`a6nRA} zDZvf-@+`4^i44+>)AXsHu+sKhlc#^*CB5^=gYjxdRBHK=d+%7cM_tVw=I!*BH}Eqx|Zgh#>Tmky76zr5#MWzE2edl${r2ZPTz8ksA37Vq!-m5A@w8ckN} zX7>IH*Eg@<<{Olp4F{CzC|0wwAV+v-o|x^cCe7|&lDSbmMg^5~wyyCh=WX$OV)B>M zZe8DTgr6_*JI~kfd>tT48Ry#8|E?DC=t0%Oe%s?m*>&%)Tcw!j-NK`}iOX=Nt-5V@ zqOuaQdutwoV6V_7SMQ3sD1Y=w^i@2yT+WiX7(PJkYVY*69sJb*JtA2oof!K-ZsVK~ zD)7qa`cm9O$1POJ>k|fhi6n|9UmCXyg9wZXFeqFIryv+#%Km_i$?>GsN@~FCj zLpIq?f#q%{L2?SXO92x9Ai?!tk+>Bm;0_F+@An_6@8!}CBl@INrNNv{UwKu1lufmb zV3g<`4D+b2e@b>XaxE{f)&_NAb+av9()(3>RC}oB%Di%xpIbs1k9~hEVWjBrQlHGL z#KCSVk9+LD$fLdWOOA>~!P4u8`4JYCxUaMI4N?-c-J0~$kv$^XS2c8%>Cxl&-yAYA zmN!WM5hh&20Gq;?D^FvyCBvIp!r9w4n2VbciZroMkl@xmM>;qBdB(vBJT@O7xjKhx zWZ~P@&8a*4E>EXmPtwCwHJGgFkUoX>rP`?d1V3hDg^UaskdC(`BLxwIJ$4{_?P1?$`4|B z@eaVjm*xFP5xtLxK;u-w9IqoO*DXaJOn3oHbl3bCe~h z9+A#*QZu312pN%BHaHDK#n5HkX{szlp#t7fii_qIJ0R+R0Vxb~vAL)AEC=j%dT&W^zThbK|#;nwct7Ztc`-&y*} z*_A|EYu-!yWbaF28kNyV=>n)xElIHzxEQR)O5o)FSeEIWczlXs{?`jzMB%pf=gFN) zN>&xPR=JbbtFz`Nf&igAvVcYR6x%QohZ46J%aKxuE~TLEF$BO`Ckzv5KtDMEn}81$ zGP96#&Gv!*oF*4<2y5S%l!6dXGkN4tc?n7FEtqV}7+_er3F&NcVOk>?|J&35hLqGG zvf1e^kGnnHiCE^XE5DueZGSOz{%=^{vDBHNFc()U@hG^syELpN}}6YD6~7pEp5BYCrKaz#-HNu zPPH*{qc*ZnIcX{=UrVZ;_E8G);I{lbw(>CK`Z&hTZgTy5>fR)L=wdyoI6Md&S)Qj3 zl5Y5u==qb;>z_4t>_!kcp+)WPEKZvo4yl_;3HqePV_50O_@P1dAhs0Y52AqHr z?UG}>s;lAT(S`T49r7XOp0^)i%|4vhPN^zoB=Br2axs!@^xbUV6>eG1@Txx0<$Xul z9WT%U!ZVlVWy4f^6Se+jvLme|8muU{hD@HD~O>c@*Zl;)K%Jdz>iT6NzXD!#Dt_%3jpQNZ^&7tg*m z^}uQ(N3ph5G8kR7Ao5oYQlh&yS7#G#u3zR>$OT2Usc0|)P!RQR5;AkWcI>>tl<^Nx zR@T45B%Mht^un59bn)-YF=N%osf3L_vexjR1MS5WggCvoBS*~Ytze_#b{vHKFuyt> zVh_8dDrf_O&pe+KpH?XTgcx9o7#*q}P6kCyyPZ<_^P;3e#<*k26H1KtEqq9Hgb!z; zz3AnfD8P5ks&F!$=@0uU!lQ1=+OHK1RS?u;E^5Bdm)}5|TAkGYR!M*6CGd{H^x9~- z4sBL}p)xu!Po2O2CE=uO{;gH}irMhPaH0eZgWr%)>?rFrQe*b%Q7RC~i>yt!Yd+B^ z4RaV1%uiOv%@Ka`_+ZI>GUnHLWti@PAnhtDj4coOIGu9Fe zEiUbn(46%dNfUcGq@-c{n##Ap0QY8Ibv?|R(FvYr6}oNw5jqOgHu_kDUq%c{SY%#E z8><0GG8A@7Yh&JM!_~LQV6;DA+0YE12RGjH^a(Q)3A|T@2(VgcjIC-}=%N2siu25y zKf%kLed(2_p-o(chA%mCYpe?=sO;rLIiWtg6xETw z(>=t!P&&5OQ1w6fv_#$~J6`Vnyi->l&(SPq`Be0~%OeZwWB8Iv{bLKZM)MvGwGRSW zf0@9@mGAv}^$@$SF}p41qaHn;oY3q>oQ0sZ(i*-HxK6MI=|Lh&C)h@mz-`70Ezx_| zXG`A)>u7{eAe9t+c@FJ$l82_cVFnQiDari)Y@Pq9-yt23=9d2le~RmiWT{mm-v6A5 z|L~4g_d8GnH9fZ@>zWFkfoV>O&=rfunM|naBA%yUX|aiKUDvNWW5(XF{YGIBcA6ga z38#-G*az-pXS8*54r3a2DsA*xBH_(AO*o`QM2D8dcW99v5g_Oz!we%2xNW}t0j%rX zPkA{Tm4H6FRgm|{x3c+-eTrxEEpr-rIWypacCfOB zGFppEhL}1b5BIf zGo3tq$0+3@FZu4&w{wUN=NLtk`ylBtHYFGOPS)DBpkg93?Mmf_ZB>VX)^eA}z+*SZ zF_3R_dR{sgR;_=GQZak-s{-=W0J1Y;k^JlBJa&@jvmUtlQ7!xg)XMqlxMnv}aLXW^ zb2>G>gzrYC*XYsFy+9@^ZKRAb|C+3phwtYCXaNP_(g0E62FajXMitfvd}GX@V){QT zDh>|TlTL~yk~0pPQF7y$w+EVsXW+%JBz8|NLHlUgla4>@BgigPc3`o9d3^VkXg6y){w3GfVk+B zA+L_fEg@uxE3se>Gc3P>rZpgQ%WBKcENqJ|V$IsZGcf@DUt7ZkJqxD{DA;MHVo_Cv z6<7l|;lK{l@hcL8X&w4V z5!>3f{f>#r9WW;p!pN`+VzEt@W(Q^A{crYw+!d${|JLRCB3RCg=g3RLV@~gR$-P6=g@+2 z_FKStSa-i~*%Q^aH+Ue7(s;XReWY~=dGwABeP^|o)}#!KAmaJD>pyQ3vQ|xPFAlgU zTlkll_vN3GA<|6emI^GQPn_{3Qw#dG&^_9c?Z>~*Wd+W7ct7Xt)fE1HCmYo|yi%l1 zL@4m4t~91X2}=9)?y0=!$S&9_E<+$*ToJhiAYf~f6XSC)4B=*GMZx*>B^_YkClXd~ zn2~AS9wpImw=M*W*pSU#_&*%Ji9&FM7cHHRZ5r<{1_kOM2F(>8Fo4HYF_bgGOz{x= z6*Mly`Y+haiouC_${n6zcgPrkM$Fz_%iuxLcz;#mZ>>c=<$|g?Pk^Twhz5$&mqa0}%R-xN@ zs0ZcOsoulR*rQEM>04#FZkh4!y(#{-Dc_)(B{h80Pp>IN>aCGoyg>2Z$el z#IXb4=Mr&>Tm#JD6>=^Tu0OZ2OP6e8o+g56df{hU8U zv?g6OTqe)Q@rBK1)Vfl;LAr^=%-sar_^fi-2*3;AS?WNZlKgUd-&&-if!C_Cp!zp6341 z54q2jV`4WC(F>viUHYC&YP^i(I2fLaM7jARL=Z}_8`3Yhez%K$WL&*rEGIWA{aNunURjHNG9~oAl|*Vp!WsPvQ^lWVMq`BMTOlqicBh?M_AC^wiS=& z;uNTarbhi2eCF^0_$Dders_* zrJ~Vke}0b!NhLx@+4DosGOuA<9+;atm-|k+>CPJ)ETmoPX5FO&0GfX6DlMD2AS7Uc z2~BP^MN;+Fj-g$lWJjxCy@uZb)hNyv4EA**+d*jUOJJ$%`&gS3^qM81F!sBWUbY&v z4wrAj=IWgFzsZJa25P+D(7rCoLVI7ma!IyNiY-TcCmVHw^1kj|IWd@bCSK|2v3*~c;Ce?B#6(J6OvYl z3qSRD)X>JGU{YElgMy&K!nVEiYx(=G^d6A6@COp#02{6|O)X-_rC?FfbY+rYB21|# zn}Wg6tosM8OzE=?o!5DjL?LBDNf6noJdWKcDbqi5isj?JnL7;9B9z&ITEj(hhf+ec zbJu88WP&2?FYCVy%Kp6=JOXQ^p9Daq5(?W@_F%SDN!5eBl@uY)z^Egd# zzB-0UPUZ`Px7$OwBAFU<`yk=}iksmCUXC1Vk#NWMTraqe{(;;^6?t zAHlvCFPjlk6uNRF7Yu{{cd@!i87EGEFJhLe!Ex>^{L0@%6M6)@15n!ayTjYQCyX;G zsYt7YRT@%tDv%}Lc7zr+XNTkw%Kc#S(`Sme$Y$H^WseaC7pvAGFG=8#kk$MPwvxlo zpjjaJZ{VA)s)yZH(N6QNuEJN|S!!Q*FL4k0kIyzli1IjgL$c~Ssg_$aqiEmfkCQ79 zgy6mch04EPzuLCH%D<)*GUqwL{r>fW0lEnkC4E(T>6V@)X#*}=L2gP@jQ*i1jVcl% zD8jjc&$@IbKyi{8Xzizi+dw(oy>B`vV^VLBc!1A3^ zZDMjb(KVdBeBD0AAJ48SPd0@4#Egvd9Q(s8E!@&17Adk?V#E&G3QTPSM8Rfsa^M*@ zCPbu@8B;<@;Y2%s6YcFGcIT7TIr0Za&pr2X|6dn)TafwnU&SZ!c*2!TNJ9utQyVam zt!~jZN@f(>Kj>4vVV(=u#?}qF{=hctmAQpp0Y zN;)p+coWOR%5e0}b9^)dV-#)|Xn8fk|B!yAq6Rtb%Uy2od`4zId}h&VhXh)qTGmkM zVLe$JMe7e``I#BmF{=V~X7$zXZVyPYsPn4sdH8xPkk1s{JGk3fXlsm!>9olPcM#{# zC9%zEvWND~GTJzM%czkco~bf1(VhF_3g1B>V?er-b(F4c9=+ZzVPg~d=1_a~e%jAF zpJTW9lE1`lBHhqNYNUsgtAABm;b6**l)DS&`V(sL0>y>|ZDBU-|4ZzZLO;SHfP z9>%Hj!eTuz#{nYXAZ zaFHsEf3OnAbshwexyGN)0_y3A>R$l4DzoqOZ>=I0m@*l>gnt;ilCx}E9j%XWJNQLtkPO8u}U4DMawT$xCn6uf$mCn z{aZK9-KUPtkBb^Y$tW6G@!*_(ZJ0E1Jix4u_RuN0!E-EbYALK$;Kw9cWZNkoxSAAJXfVB%PYsPm1Xe~vJLFGXYV8*@WLqBE?Q=GIwh(;TXc z3te;`%*~zWislT$Md#xgy2DpsKx_ew<`+t=et*HgPme_j{PHiq3hFMS@Ck!PqdGpK z(iB>87DBuZe;dM0=^Q^zpUb;Yoyh(?>JgytvTS?;gHmpO`PfMCbbJ?5r9DH6auwbq zH2v3>27DKc22-}NPv*3I{{4vU-}VHw72|)jt&r?2J~Ut5Z2o}2{!9(Muw~IsGzBhY zzVYn3Ki|a!<^NLXI9@Yh=I^FUul@Y2CcjS-U+a3Ksk`c;@L$Z(taRz*6UT2HIl}1l zinr|7cn0*j$p(~JbeOc69?-wKnt!429D98TdF1(J;#=A2vmyGMB;^|T-Mobjd_`DUd%Q>;yUeakw6My@@saC;kU zgE`YK+@tor31ITl{8w)x-ldtelV~P%;T#h4P0RU@r>?#+b0_OK3$Dg zWquQ~>PTJPjq7m zlI&a6Yt*pGF;3kmce;#!+Rnh}`ZRex?+dkrvUGm_I6O~sy&_Tz)7wDynhPI|BwO~~ z(^tFIRU1ZjB!7OLx4BPiP(~d2Cyu$T^RZT<)z+IH8GpW+e^!CB%ZKWEPM$gx1_&A_ zt8ve~J>GiiXTlzVuVdUusVHI)2SKL+t~n*>Ds!E&B&AhEVxg(eMFtX2Gx!|hv zz|JlhZB2`ytaUu4LDr6c+w#DhIYqJT1Njn(7cM?nzWO(EfVg06;9;^am7wEzBQd*c zHY`W4=X%atRud+;yIl>tS|&2v@;N`RuI5*NUVF|zYI?zBvjX+S4yTg$*A@#x^(L9M zvsF*6bRLWu?_O3o<{8(hElP_&XPCD2)O2zi5HULkF51RJ&_8cX*K8)~zI=Dk2y;hr z`eP#s#&e?U_PCPSELxTL4T<=}IHfZj7GP+HIk-Tfn9C^=YQCcr(@jjE=V#gts>e*A zxf{fu_SPvTCRbJ(O5>?_VRw(Xgo5645>(vk^`p1r5&~|GsgeMR%E3zHzj1`EA2^^W zKjURf2Ev9f&-Q=o-F~mK^K+R%Y6u|6S139|fu%XT6a;XE2q&5a;*;mgb#0Tm7G;c- z=vBqaV6z&u609cUv~93mzi&M{d#Dd1w>C?UWzTi99V=Mn7U9zOZP)MjxTz&dLt`u< zC?BQM{%l$NRM)!@_;RC?&GI*ml#5K!41sX_=PE`=T_W?|Z<~|}ejb2lJqFRgQ+C8P zr?Nu%l67pUK_ct;(d>6~m>!}AGEnLPjhU~f3431n=noL8U6Emf`{RS7tSdokelT>X z{eSG6&A?&>8VbLf&Qk}KJty}`cZFoW!r%sJfy`^PL-@BnPbL|s$O>8tBaLzMD^H%! z2>Fq(m$qeT??L23d>{E;H?eVqAChcCMl)oo#K#)+q)xXB zD#pwUW6MG)X?V{`R@hM9Q|qe&%wruHPkHf7E}aP!d!17pR2y!LQZE`hyDN2Q<7~@Y zkH`-bwZVN>d1HEsYDesXO;mYjQo6i+p%6Nj+xe2V^xK&nl|hpTI!t##!t5IT z_f1-HFTK*nB-V4Do{NRHk{A5;vK#iu6pJ|&cAB}5^&AFQ(E_~}oNea9U!Kud&655p zpC>d*>mGaY`5;K(z@)ki&cs`}4R4q0<1Ek#SY}oF-xSf;B&qlqo&~47KzI#wXdDcy z>^#Q6!a?o9IXcKgKX6|`G$2pQi7Pr-wwBuPN@(Lw9|z`ifemU|v*}KI06L>3U`;s2 z;0F$VL{cJO78tRUnn5R#_g^W5L!k78v4T&i8(wPCn}h?1-T`(7*8_^x`SpZJ_Gop$ zUt>I#@aE#N?7>D;r~&0Su#x`{$`uIE)3GR2SszYLTL4#z)R;|z=QjJHn>aAu99t+% ze2kZZI5VZ>c^k_sizx$!uC^YHrzZ<6%tm@J*56%nz{Y zzWPbrqS$T2i7B}QuZtH4o?}o&=9@}JR8hQ*+E%<)I|n=R@7%4Qk33wm@+`TV-h$}j zXO9(~biC=(Cbf@hI&hB;)`!X5#ktY$51jbFu4dnkKWgdZhz6{>SG`osO(zE)Ct1#) zba2pIU#T+Uu5b^e=A9V3mz@0BdK@E9^WsXombz^dYTHy)T_lc-otp3c_~98e z1I2l^swB=p_Y%KQDu4^c8Ef6is>y7$6S@IF=Aq_O=PQW65ea&sWJU#j>j3?I<&+up z8LmlKgug?Oa@SLGn%j0`e2BpTwbWDf1{{3XB4rb9Ck@!w5BRRf7wFAySX-)k4)>2o zHj^cJYHxUQS}e?{bL`oTm}IDQ<~K(epa7pJt(7W!XB1!y34kC5A+G_;k64F_At;~| z^+dt})dTd0Q}u)6*-6#q4AvkUzA@LaolBpo5kkm6J4n#!RMv&dCbV_sVwF`FW+sB$ z(xh^&ddt+BxM`b}6m)1O8_8+8KC$EaVah%G{LR)$V^qqjGH7{)BlZ$tyTR^HSW@@HjhY}qDfv7bB}{#;BVZ5R>EtTe{B;{ zm-H7dCC`P~TSR29vc)6DTTdho#B|r96-S4uvt{#pw{<)7j8+Yfp~C3hkwt}I3(6O& z@bpD%R)hEv_m>Z~J?d4LSod6&nmxwsI&G7N8Jg28iC=x@ZgNgPs0~mbh#w;g3JA!n z_=|G$%5R;PTq7td?favMg_DmJf3J)wJ_DabIIU9fx6x!M?u{A20t(;DR-E ze(xyv51|Q@-P53ySUO7j$o19>-{q?-pz*zAv8t$3|07Fc z7)QfIYIG$eO+zsTbbO;r2}`FyL+x0!V;UG6e%l6&P}kaDzE_Eykqe1kj0b2sOtP<- z(K1VH?jS;~p34mUGLUVm!NVR7=8rwZci4*v=6{<0)nqqorlDJ;ZYSH*P3vdDoco#* zs=K@lwY%P-&@fPQbSuTW3hu=c{$!7j88VH{X1k6kHg#}dfK)%q$XT!jPi7CA*x0@Y z$;veZR~hCz)xYf{qVl&O{P|>c zrSV%G;%c23-{EOb%SPv=c>Lff^RJbv{hJPGd*Ti}txUfho!k1$8B-0{^uZ31-cfL* zC)g(DI1gjqOh;evTrOWo^6jqM*6E#9-Fo~^R<2T`@icpX+lpsy#ftF(c!j;V;U%9) zx{c40td&wdmHU$r>i#n*Ng87~LI)pqZ!Ec#6Q|^f?vQO=+wux|Zb+b5Ta#j; z&Eql;He&$)9$X=IE`ar{0%>jwM(5{Akntn!v!zuc0R~{;H9;Moave}tpc!7Q;r~-G z-z4pug;hBoVm)G~*j%hDTgP*C7nSzaq%98tyoF}lKYk0+Qx2-a&BDMS;hQMBM9YIK zGvh5D<;X;iAWNA3+|2=NmKQD^5zH#wChfaQd*%ejwI1RFOn?^sKQlNkSbDviR^gZS zvumo6gf6P6JqPh3oT1nLQ2l}M!_K$Rx!gx2<&z;_dD+wVGG0$H@o}=`{gHudq2vtr z&+lD3BN4#kuep}1uxCKBC`eefCv4=-uR?6c_K$bZk>)_bxo_u|S@BJ@_nojLPyo*@ z(xXyWy^$j*Wnj$1K{l|xJQ;?;`~>y(d~8uvlG0oYk)^H+r{1*MMny@?4?Cu;D5j(! z%cjYsDuh<&rn^DFhFs~p#t)JmH5JN2E1gaqCDP_Ph3_g0I_l1k$q$U~DS`oiJ-Ih` z<8?AAGd}6{N{GqUbr1#T8>-2{63Ng(YcIR7@S*%p1`*Z^Dil>(Eq9=Hb7k=Q`lCVo zz>5ME8Sa#T6~U?e$PfA;Z^HFKlxOy>54gQ9(NVws9^j&3>;>g?P*Rt#MP3jZb&pxO z9>uk+WZY!U^-{89kXo(xZu$@N<3TbA3_m~Yu%QTd-A;bMsYjAl+rpZ>&~g4A_8yiT z%RacoEv4+=NseQ~a0(Q_#x(v*?RWb?JaiukIROm=*?xZK4^Eu@s^6qyVe~cwTBQSa zet=0ogUP9Fr@H=$b;R$W63iCkchQmx=kpEnZNL#?Tw)copGN|Y{D$#U6ARvzRD8&e zl|!x?CP45qXBmy04U!iB6~>_l(#BlDp;LYryTrR1p15IF!oL?WtTh%3gZlbgMsbv| zue(3o%QkIm+8QRF#CY=3-xu@p0Bm^N?(DM`gR46L=G}X+a1<7f>42;Hc zZ8?MOtuX^FH+pjp-*(&hy5FXZ-$esXGJZQ*ZB}}f7p9l`@5G*W8m*XS*KIa6ZZ(wQvuFnVUIv`V<}47KEWA2f{Go*RIy6``~@i+m8o6SLYKg&UYx(XH;(>;&JAb;JUL zF^3Rl(AbDx(&b?bM^F?K)bV)vW?-#Or5|%)Nw}DP`qPpvl8R60GI1odDrtdmCeFsP zV&Fo{P>GNhM1GPLAt7)BOL&aN++p0glXL^YGGS8LBaTMxh5SyQGeBd5YCM2h|MeTk*{F{Y6Eterj?fGrgze4%$JopG8de)a=XyWbK zf-Ik)<_h>pF$lDm79Vf$-cVb>{&!;eM0NXm+WS7D9*<}2dvCGs>;%u|{}FX9;7srT z|984Mspy=N%2?;d5s`?w%uZKzkV-Y>mcB)DoomB5C8=bqquei*kT5NGb4lV`E?cg1 zo7>o2w-{#T^8YMz{?B=y^E^@;-+jNI_xt^Nzb?8rl*Lc-co^h0bU!BZSZ|yS=^;7f z%K=vwN?*eBK0Sk|U$spRqbfJd?p9njQeHl-JP+*vQr-U|*~I+l4l5BHv}Qmdtse%! z^VQ(J1T_3_;-i_T%q8D;NHpWdAT{@W&)$)FzBt;Sk_&DvAU!IXQ`@=CAnZQf;? zIkUv6d;&o$fTXFOjt;QIZ7nYo|Mq=&$(o~IUsqm?Wi&$s0r6oZ1ch)m52I!Ehz@o? z1ONzlsCRKXNI^ex)uZ*FVCOsHK$?@6j~}1%C+_urEOEZj1ZC7`hr+c;7a;72FtKrAlt1iWqF4oO zoPBj8tzOFoBz#{J(x9M?sc`&)G+}u2L*OSO_Ba&Zr}H4P`aj8r2O`QmV0NTD1n3GR z$e<)#HCGp;212Nl`=@ntu+}{A_>NQ9pgvw&_g+^G8$Oyxs%YsH@Th?FSwIW`P`i{M6 z&pGarHen0MVJyWMz3&=S^c0XXm9{LAzjQ3`o@RaO2&}*a z{C~T>ldM>28)v<@?Z;_Kr$ot`=`v@YzUM>D!9#D;tV7NZtgS{5T=ts&I$ECx%wN{* z9VQJe4hg27`;9B*0akHHGtO@PSmU`Rnq>_15SxVaT`b#Bt<^vRCz&z~g7!SX&)UY9 zlUM@$4@MwT`!?P8$nOFnh>wKr5#!AJb{oF|4ZlmXe`S7Y#kwNIt`i}Bt*U+O&3>d_ z8`S+okmLo}g1Q!`-YoBSd&1S&)3XP)YY$kMfew)09}8B>_JK1;hpim(KKva#=Q96v zU~B_QlS?{W>IJMcJ@ykbAB-eo29;e1DR7Neo(XByH+r^K%Qxpko{s~8M$mizbW*E+ z%Y9C4Vz1V~@dBNy@3h)dK+x0=t3#N|RE!e#`+`ntgmMMJXCB^DkBlnso0)ps|5guu z3B+EpV)w74HNE{I&zwfd9_Zl;=W&>E-2CWz5zfxN_1x|_A ztEAynNxy#HFgy%cj<2f36D4H!MbSzKy1_Ft(JDz>?-EGjC{HTx^vz`ls7uDWGQ@a2 z_MrcY4T3L}hPP~9qLsvaeNXn*lzD8e8UO(FFu#hs<%|vX4$(rn2}02aVAh3EuKWAg zrlkwDAaXfKZ~xoMG;H<%o-YA3zzLcaoLJ7bph`IUOftkxPPd{u-ytsl!#DaZP z`wgx*B$M@tlDVYC1!q`#B5k5CQ@MsQTApWcEaJG~8Z)7QN~ zj|6sXU-i?kUFs>nVgp}Aunu8>Q*&b@c7*D`6)UEUbVs>!EAD!%e4jMM=2FH$5-JMs zvHB)=ba3}VS{rNkYES$L>|Z!7>wpP$7=B!=ZY%CF1y@d@X~%h~OUSJMZ{s{{Rrm*C zpcdy9z2@f(YUpUo1M?Q?e%mV+Xg!IrB100is(!`Z;TAZ%XstFVT_4PYOum{YCsthv zmt!kXPDGFPt9_dRO`fB}faL`gdDuU7l@A4)(~KYi za9WP4zANKF+-6p?4-m+V?Rx^;XMpRZF8V$}5B$ptRJ8Sij{n)A-2{tM%yM(dYVU^- zFu@!hRn&g2w1bgZaLyE(p;2DW>4N!WHSh@dwX`r^j|Yb}ycdOU?u=G$fzoBA1tkd* zNzuXFgO+IBg52#3=pQ{@t=0yoEkwvtF#YPml82w{+cbf|NV2T}*^L02EU_B-`kXYm z`RK6HhE)OL>2C;yD;z+#wR9^sS)G9P&0xvsY5@lRI!*e8G1`hzb6ZIei155G821 zAGRfpG*HTls7pN!s+(A`0B^VPDk}l!BmU^oCa?oFP57H62|lWE=Q?T#@bT=X@dRkD zJkrS{$|G2!JU{?m>v!Atdzjqq)ZFa}K#}Wu3*C;DeO(cVe<}4d$Vr?|%1C78OeSwf z!r6Trz^SJNfL{h;7x2sgQ&?>TWI5>;9}hXFb<%6?Hdg`fNuUG}jDV%ZU#qzl4)s92 z9=qyzWK>U)z=~q~lohb1TE(b4KnCDP)LN`vyn1-ptQ0s=SMw_yyv)kWhXUT?;(<^i z4(UB>s_>S6p#={p1(zyZniF!6#O)*_d&^NO=_{cjR~mAxCc zxqTg?fuZQjopUEP9w_FkJrkKpcF0!_dGb;Vy1Sc?o5w5}&beRHm!z$nom@5|FgZ_G zx389A&h^aGkeazZDg~CSwCKVMSgGCacA+$~!wKC8I%-EDK60x>n4f zSu-=B}CJ0*zR5I&2d}Ab`AZ0PSRq)<^jp58{N(iM^ znonY&{q?=MhHW*#7Ar2frqihuB-2qY1w7sYP$){ik8f0y@jLrp{D|l3O4}5I^FJtu z*G!$rk$y>a&+>HbL83V`~_&EPd{ zzAn`2SiOe929mH-v4Ve)FDD^w04IF5ZM=|H4W8B*#4fJ@_}-4T=9`kj0Cx3Qf}{Dn zFT1t@?<#7hNapD3#v=WrR^Kv(;!P=@Bb~E4J`LaPKFN`+w!Z?Orze&_BDSPJmW^sN zZS`4CF32Fpt_J(Bu%|U5sY&)&Vk==IL4z8&;AoiR0wQ`W@cw$fJj zW%VQpgjj7SUQFJv6O(!Giy58RkmSrtek%Y?7KLr?35EZIfj7Q;AO0v<@~gq0?TyLq zSAlg%#nG?gosGm<8Lv;id^khh2r}|?y+$nYl5P~I@f8Cf(l9z@x@VieIDCF}(2|*3 z+n(JS5l41?D3|(qW_|@lF7%%Ejo~fCCqgf0Uq?hjFK6QJic4fG@Jsn0TspKFBvvbi zRbdsC$9wA4T7&fZ=U0ZUjK6gdel@r-8N6MLmTeWoqd?J&B}oFBEfb)MRXaEZuz^q) z>^uIoA&TgveH^A#1nz742vK{G+kyR$7qIW012ibBHvtU{r~N=GQjq&ZZU1$pTwgh{ zDEcOGTh4dz7QijH(7FPDXRlExt8a_(I(VH}k=6_BoLH6rnQFPM!E2hZO$kL}%Xk@R z&_v@Qg#@5f8Ft7Cz5DMt7&dJ9(r&;mVuAlglFt`qf9In|O17St)*K>ryxsJ7^Zi>+ zl0br>#1G<7sZxD&OPvf)NhZKmxndoN?_C9T-sr+34){=}ld=}q(I4&ahMY8?)ZY}6xC$6C_MMVeQE?5Sw4~V?0 zEnD-7oF8OmS5^A(^Q>QSfW#PUX(dn z?sIwk+tiybAWZ;lUGFvN>;S-`N(OF>J@HqEhd#V{b$6GdvqT$Tuhsc&{K>@lTSWb0 zU*m+lQX~7en)lwo!~V&y3N2W#5NaK%djDcT3+X%)yW4Se{^g)% z{`I@pzC+SF!`VB8kJG zAi6Co4ASXKQxjz$wMrsFO-^g@lAmPz0jDmqEnffR>5ZDEMs^g$4(&6FU5j!#z}@_} zD{`25QLf5&DlcFM1Y~NEarVlv|AIj6S{#te61Q(BozL;knHm z`7}sJxs*|cEN}l8ECJMD>p8zcM@D%($N~>Nh^SYmhQvN`J8hY;@Oi)68AttS#-!o3 zTT^F}L`U9W#*JxHro%(AOT?ijXgW{?v+VKj5qbJA*Tqo>#?-7Zn$!5OuLO{X$%ov4 z{2UM)+7iHH4gkMFu@%eyTv~^bzdcAQ*Yj_YhaY2vj_#g4`H*L^o85~IFb z{Z~Lm1Qhl>0gz{TW^aVMDolX^L|CE9>sXKS;@(N8ldRoI--qcGVAKcfIY%g^h*b4o zU(FkuM9%I`D*LGj=ZJ|K*Lw5~QKnY3UDRXcrZ0g?JPwM53~@CyoPd1>gd0fqZFh3d zMnT7hYxf3t?2uSi01Nt68~4nTb7%_c-Kq#;d&>Byw>1 zZ&uZR;8<9NPcoDwBD~#bSV52YM`f5SGPd=B-_6Imy;*td63WfrF2KrCz?{$_8rF1(c%ANc#mh^qQm!%;XX( zS}pKX>*daQYiF!Ya;JYI`JSefbEiOP-y;ZO#(_xlM+g2kz5KH?&?4yve9avuIlO>> zWkBZQK?2D8B_!lmK!LgzIS7oq|IP2v{->}h4l)mHmPng?+gblntAOLX4JxKdQj~E*;)k|!7GFE;w?^Dm^OSc)Su9s zabDgf8uX|eAR>c^+yWp zoZwqul)Wb#Y04GsWqC7}QkG2rAl~@HrQ5*w)Kz_UJhmg;=T^p#h!dv4lSAS~8wWIaMXlh#tAUMM{x#FnAfTIauWveaQRc@zR zVL%G@O<+p+sx7(0A<*nveG1UrMo51FTutwhl)zweBJ|A50q<9>$=Fy0803~o(%{5- zj%!v~>k$d3NVClKAdm?pj#p!2!KxZ?H-Ljn*m9B-V0P#_p>_QL&j-xm;!0?Q0=ZWt zHF;A&>+}Xzw9mUV@@^`d&uqwE(c{o;xLb ziw<9;BJU-J{4s$ifMAd>stL+wog-E=~~c3ANqP;HXGSb>RO z2-%9_8`_X8vA2>Wa<_2;RclTP`>3T+u}&NZa%^NR{`X~^a0^HJi%_j8@WJUlt z=E2$BlfMmW#~+W+5i0;|+kuEl7aNl8#@qcp3@d6?ssiLF-+73ioh8h3SIm!$q|BH4 zlH>zfUh@?%i6X7*dWlv1-1J?g1bJ~z_-eqro*}xuz<#e6G}YhHLkLSRhd}n0_}Q$- zq6{>pbNxILLCy}y4x#ju2GFtq0i6E3ZFu+OpIa-&4(_1}C1>|p&~~jJS|Cmsq}3Rd z_8MSM*w?iB z@Djz*MK6lZ5)DFKTJ?nm>~)C`j812<_1~lH1?BP6D%8GjvX%P(@Ih>hpqV(ys^?Nk zoZ$}l>oZJVg>56Cz+YR5zAVF=rL6%A0LxL^@NzAbDu4l*L|mz`M&>~JfayCB>vOua z;%2nas{tqiVJnd|)OUCfHTTO`5U_xX)+pNA?MXW^BjzChvEmhMCVQQfQxh<8@7c{( zx(8S->{tUwfoN=hGQiST^QX=Mcy`SvP7;iV3+7A>BgfUkPh84rKUSBs-5RYs7nmGG zxaTHEhdR6;QO78t zZh422l`;Y-_@i|~cq=UNDUM+JTNbG#O^jWf+HuGTZq~*W*c8USkQmZgI@wqC96ra8 zHZqlOX9QFpmAKDEa@FR!@z<*ZD~rpR#~?Hi)=NAtl(=c;ui@r2w@Pp64_GmwF3v{X zmk?GKV3ijI%q ze79!J7;fJqx?))SRgxRFi6yaT$noRtPQhFfaQi6vE76-S);3+wvwXhy03#VX?ZZdA zn>xAlXdc*wu5H8q2+|8zz!_bIy$Nd#xy9dyDwIwE47O*t)_#wVxBEL97R=0RC@;lH z#~nL9o+C9zu4NA!fWoV(Nk&9vu5ZV?e_JQE?Ru}2dPL1zGu&*W*pCl{%8P@QueCw9 zzh_@m1MB!{kYvty?T+~|O6B!VdAB6@HFFu?Dy8;`Xu0*;`{6-NWE zUZN*B*IyPRFlIThgfn#kgtFD1QmatAsvlis7SV0^_LLj?Qg8QAARx-$8KMF#4*m@TPm*E&kCY{Pwtehvyx>AxSzTbPF@yE0}Y7HSQ}(l0)Gn`}?Zd$O6^n-vUI%jBIz9 z0r1mW9dTPExe~zfVO6Ph0MMG$^`a$N7M3K%=#CAxRLZUytA}ed?M2|Rs5U>%jI~kk z{HP>2Gz!wdV?8V$d~tZ%)*0||`0J6JzO*L8qO`(l4eteMNg~Y|;*HQA<-X5bK%(pg zaH~h*4pT>LrxZS!*i0jTP$4@moVpv_nY zD!)Hp+$LEH_s@f}u(6SnzSJz<%3Ycvt)K)#d}>H>+Ix@Zk=>r-HcF=h}dx2m-O$#ufv4 z^^G?^s9ur4CkKHRZXK%qIB6RJL??k8PYC5}P~SL=Iz@qLFK)0-ixSW~c+nOFDr;K08gnpbxEbRd$${@*Gd2`Ml#@Zlq6IHZPfPH#)7B= z#4cO?lgraM-}R{=k6URmWYQKNwByF|Ngv#aUHV-*nU*JJGS)r%N`3UVs$knjqjMRf z`HH8b{!Pt)F&KIKmj`uY(vQaPkl)y4pz4f*s%&7M~ z`$%Xz@BWmQtIY4i;GvPbG`ji5BikQX&|CW>lhThM@qh18XD$}S`FB~^Gk12SchfBy zO$r5SR}FfTLvvHSAYV0IM8@0h{5oSl#iEyGeY`(*!ZIYJC3<0k4V8nxm7~(?uBg*? zi27^WqS05zy)0sHCQ1VpyqHPV^-rII!l$(gNZlM3w=(JM%*~OPZ>Y;7_V-f`>c?Ap z`SXaH$)RT9X`GRqm2A~=)p$`|6G`cI|HeOw%zCMSQX9dUeE2Iemls%P{WCGp%fp}Q z+SroLdCj2-=9p(!i1%1!zmb>HZ&r`z6YW%p-T{k6F9I8XYvTG7-Y-34U>=lK1`g5l z0wzw}hx|vm*pqX8P$2cLkjt0ji^@+4J6@s+4M9t(^#-H+*2Ds5hI5rdL=}=8ght|v zqcVVMncsb}Cvp%)WL;R0+X+7-CH(_Yr*Kunwq)R7rMMH`2@`867lS4=Do2Y#1A||q z(oudo#B+QKXVg7~>2o{H89`0A>uj_4bI#}d6QyZgId|_S-6c72k>}CS+~1KmFcT9~ zF?CoM5g5GpO0Zd_iVh(iuaf+JJP{5ivXQ-nl`)t4R5BER@me|NA6H9pDdKfiRb}o8 zhq6TRe6ABR?pOYfBPv5WFbR;{6E;}SKHEfwi=zLY~7;kZL| zofco|I~viJlhRc7kyAo^oIA+a%o)WlwVr4-rX8Zbf(gHQh1gc0Ay2cVvWbtB-inY% zkc(#n!p3t7?-cAPDuE6zNwdEM4`@mynN31Rm+*dV4qDbB6FSCc+BD5sFs&adN8KO2 zoiWG?;!PN5JxXsf_~j8~-5=Wp)AH3Oh)}FXv@ItTwGDpF{>xE;=n#~6V8Q*W%xl~E z*umH?xijsNC&E}hzE)n`9Kx^u5h``rmpxk)pAyd^Oc&1I8vzKY5lD3Yc=JW9;3dlMM`BVP++gA@Kp)gTD(o0QIl9~B2dvOY zdAs0N@@FuFu_1bG9g|mn&ikj^FHYaVI%+J#d;Heqm*f_UlANd-JzX*X;?$Dd&@2AuYx2!8DSre@St1n zOp>O#i2n^x1Cz4;+ADr_p`I)AeA^Ab{Cz9$^8~>Ky>qB`!x#oR2;8+E)OGSizFNDY z>k|Dv0KojG%gPkmHBZ{9JX2ke>%0qPeA9}g-Y5zVvlPba5L<>>WlZnoDpH(7ps^pR z6=n-mX4i8zRv8!z=J!s;0W4}^@s~*BBLS{=11wEsyinK&T^|Kc3 zG=mRbt>5(s3a1a>uv_d#%I6{y3RdqDOXKue@RW3hL#magLey`b6ZpWMcgak{8;ZnC z+ozXNCu`tjWI$gRv=a5%GaD-(F$nI-c4W5{%&oAlZ6p|rJSV!MTL!-U-IWrfD!!9! zQI52n1I#jLV~tjg)=voSdU9oHf9-7HFvRX2e?*=2I)|`C2i(G5KS)$X8fN7_{Qio24?U5_Y zS*9=t-QNttXL3^MbHPu{7!D50`0mCgij6SlH%I&LAxmDrcfu!Ar)l*S2&&SuFDB^s%* z=26ej{KD^eS~)k__R}7ucD-MYt#{+(SAD&!#t%A6&8g$qgGIZNZu5TX-p1@11hQqnH zJhT1nc6>GsEmq(UxiLA1u-!6n<`}biQv1d$j0|C}x6h1)TKW7EmY=k8DzP2dKi)&>1e*y_+MW%r zUI)4whf$m0*FseHpq$y{ry~~67*|Qu8w$vlGM!fe#0p;}SyItgOWx=DR zG0Rii!Sey?l@P^y_e;jSMtS^T$FGR$v5`^4slZkwRc0a~kcN@@ixU^H%Yv)(iZ}Cy z)8 z&Z42~%qdo)`2kT07HJWftojDySML8sZ=!*$%9-x6_1JNrmB?6bNyF8B&FAlHH7?Xc zX1rH3S{a++jC#0z=?Jn*U%+!WZyXN!qNoDivZLTywR2I%gwz)SjhpxO=9RmB7Yx)J zM3%dHJMks%h`=5Yb2mX(*$!**=dDF_pOQoA?v{~Ik8i^3LH7o2JTfx2eH(Qdx9k={ zG$@-M%@@VTs+q(r2DzGyaU2F&cc)~Z3CO|5SDu7)b_P~n;h_+QjpWaomjnBbO=vuV zz^(c-sO+l5sDaox!R;2{wePu==)4#^h}r=P5-M*-H)jyqo_p0ep31uu_w*SmdRp25 z*I+Y0GC!8Av>E0OFg1&>S>K|5ByfK9b2&!nLTy@*YnVI`e!*1)TrKInhmUCxUjCJ; z@|uW!9iP?D6$+cN%QLUQx4K3O-_t^0B^Qy4tGrkAK$~OZ<56Q8M*17&7_T|v-KD~C zp3$|nPT(#tM7+95x*YOovGDwDdjZnWVXQ*%N@$yMdur?Qmg)sL@((1VVD3Cul?CGo z99Ml8k=ZsP)gI-MDq>u0O4P?*oah!^%ZEek6qn*wvTxElE#%mV?|+Jya_F7(GN-r5 zgwC0A&KMJ{iid5%@i9KLV%xq_hIJ#ij#0Cgs4j@m(<)AAgn16A%w9;jcdH z%%3eY)YCQL8))Q;g3cUkCDfg>@DGrq!I_>De*Qu447%FpP-n0fKgtue8_Dk?2wPh) zG^E}eQDS7|S?a6)`Kb(US5IfY?bAu$gaBX4pTtRLWGWlVo1^pwJEu-TsSED!%5+A9 zlDo)fS!ZauViM@V{-dFw6XCNoD<84_!a{{!`H|)AbQGRa;X5wNM^@-AD zd=j0js@LpfyRvfN5nJG4;P4l>v6SV05;w8nFf>d$A=}p9LFno@$5JZ!eXO(B;C9mZ zUR9Z`pbU96-G3Nia?^97BzKX)I1|6e*Wz-SixX}g%>6JNBNeal1RTxj+?JC8_s59H zj0kAEKff$5&#UjbiYaOnPVY3&cq8%jC=yh-AXgRR_AG_*3kXXQ%Fr`$G{|f(oR6Vj zL2&#^{6|G}ZhIsvIYp7Pg*>qzl$o!Eq1~ljdMR+vQxOBrxpacbF{%k+pzPn1+NL1? zm3kL<+XdTv_#Djin`@<~lC`ugc2{P*wC260zpJ8?o{y<{X*>=pbNv=}ez9YzdLvv> zs-oGo6sd2+FQP-$TCT~?bkc$!2IZ3I0Gb}J&lTDlWq-OMI2*W&m1T_ZQ+Vf8gWg-B zVmNo!dYlpbD2dcYFz-xPNO+t3atcEb$ZainMpAUd#!k}ti=1(j(n z{ydeDhJU1Rb|OsqW528w{xD}m79aoSzcSmg3qHx2{^&zVq`@!TEz!A~M>hWeuKm2* zXm?AXeljVieX91beb>#N1J>irtFv%&(s;_1xq-8Azf~^5Y*N~3Fm^8VECRGYnJFUJ3`Gd11(5verJIb+>$ zR?ng(d19tl9UO4aNSWYuLCK+5&UcKIrI#fKuHc$HAh!spm5{y@uJzo?KKzvIU$0}F zE-Y&pf>Kd)L5p6zytnM`U9jIURM6{~J`g*0?VJd;!xOane*1|`l><|cLt0Bvv;$23 zOnSJCQ667PJw@>8Qe8@R%<186}ztK z4-B&V=^)C~Q+?EA{F9dVir|2UAol6cFgdVy#CKeR+uBp7Bx)Y!zQ?@8#8%3I!aQhOJT{8?v7y45c%aQG)4ddi(Wr8Ro{#M=Npx@@_} zBxU8aYfwW^$i%%&QLm{2oNST4)UnulZ4h;dF6H2Uz+kHPx59)uer$bku0h9uZT&d2 zhvCj!?4&I@vpU*%cauLS@g}J+mlbbecYo5dG{k+~F?{%( z<1nvRuFv(EXQGG|U$=*otK9&Tp_Kv5BvIvQ8&xa8Cc@8K|7W5%GU+h8x_~jB9K}`o zh`9WX=l=wZ%JJZ<-le;0g?s3x>oN4hbIA%TMhjPUG&vuugP92`qt~?5V$>5#*cZ(! z^PPC{zr<9W-8UQhPk`P*`USMq&*>o(_|k4CJw>}XT_V~-qw64U>PG;hSnlF=T@Lco zajI{Vb$zpEr*B)kCfcuu+LWk`Ma*A2TmJub_#-8-SF1dlr}h<~60;eR1Ezs#LlE8K zSUqV}aPI>kh9(f$?kdET%w|AQE z8Xse8CYD=;vbY#u4Gf_My%)hLrwlxd3Xc41mc+-(PNKb<9)a;T#QU;0e=I7K@c2*7 zBvvqM@h7!2k!%b6!WIUazl{}p`CBi!LKIx22;4|19Gd2eV%PlUoK%&^P(eyY3~9Ct zF2+sNiRzQ@SO$j;T1|4&nlXM!T{ho786tN6H?IFgqV8#{*&k~(J6!uQ2jDH>7K?A6JD{X} z)%(i|YBP+#)3+&?Zto1pX14bU>k2r*X;nCGwa3a-x*(F17RTPQ zkU00nx3Gr72~lzHGn%|njp7O~S9a&RqBNi-qw`Y`J;9hE#c$wTKCo=$@4M}wK zJ3;s02EQ4|{=2&a9y18Y7~K60SJ(x=8I)_K*Pjtr%cT9FJ;>J6GzZ6LqPbs~9YWsB zpcp@P$3R>etmzm37jQH=ski4?aA(}C@65k;|Es~BoTAur4xcjy{NU{v-7J+2Gt5&p zq`c>#>rh21RIN=Ze-bw{z>IHQ51ZA)PId;t8aRa0xQ$(`d-gd**6h93CH$@bK&R80 z5gW%yIq%hae#4+b2EyBjEXW4sC~1OSBfv$!JqZb%A(P0!p`S-=?64V4B)Otz2}JDB zBvkn9fLgvA=G1-!t6lXqN>|UmOLYkkPW3;D-7qfrNO&Y2At(fQZ09UizNfgi&~IZ6 zrQ9>|7I|HgA!toEAiBdy+KTW=fD+2V$s{{th($hFL#g&mR1M1Z*U%gW7sHSRpgA9! z`5}bBh|QI!FWx-f&O%i-2hyTTEVY%y*k~B*LMf%QPK-i+#HDx1=?50BaMJdyyaw;5 z)#jfXD0uMSfv|kc#alpZQT&>iigN*MV<-OJq2rks0xfduk~ewUodfiybF@M#3A( zr~H#u^Bk+p{f`@5p}|*!?cNIa1#sd9KT_tEjG*rWy{0DKU{c$511z=S?UF( zq({&T%Tp}(>!5p@K9A@&eJ^GnnSj#jXd_*5`+>bm1e`8$sq%d}{BOY)57s;4e zBK>aRQF1P3X{K0qOc8{^&UZf>K?+{M!5fo4NK7>qtuau!aQM{YCOT(o+*XVLfDYy}VqQI%j1rSTV~h0~Q84xJ zMIa5g!6l5tIu?QK-ycDtDB5^&8JDlWZI2TcfYYP27+N71^d_bMf!It9#*ESA!AFpR z3bP5Nn`J*x5r~_a>f;}tlBQ?%`6%e|e~b(c3v6ybR-svXvBhaD_-1#Nn=L<;TwY#T zac!CjikWYp=nGlO6d=qgrC!a!j1y-;gOv#uY0(9$9Ab%k>BN{qI3ZmDCc9X0TfJ9? zOGRmIOZxzaaJhp&RbNhj8?V`6=rK2cW9s53@Y}T#x=zv0Zia>Bc8ga(L?0+@+2JKB z^~hcE|6>@sg>=$Ewv?37K4|f84ijY0gghU#Qb7i`pDcRrtF-fmZpp4mw%6+bJu9UR z9dgMb7O`z#XUm`QkMx-2>bnjQ+Rm}5bZi4p@as;PJG>rkOAa&%W!-h=h$_n+^mfAJ zFRA1b|7MvgnLQPbeg8)NfuNF-JsA(^^!v3W-0YH5MDU5Kd8xWUEQVKX5YW0HJ|QB( z_5`3_UuTvq5tazUJ@7$ezZK6aN-pe7g7%!aummRU zz;@6{fD<>>K>f`a(@WNkc}~=Bvl%WS(f0BOy2dTXY7fx~o_$FJr_W(8X9Rn=@6{MU zh1@3PDH#UEIUq9XIEu5jE!iP66Tc30k1>8pbg7Q!WZ9b$G3zOxs1Je`ZIBh zvSN?X>|aUuAi+PWhLN95`%#h}Oumu1y@cB(t9#tmiRo#>&-c{feN%kyt-S3)fN_BE zaU}KQIYB-?T!Y|y`dM6ss0xzp-96dV`fj+abLBC6);MeM5#HY zU^vU9=wzT7ron%*>&AIwI`cNR`f)1y90O?|QnNyMc@M${*JlY=j1PCQWbK0k>YwiT z9T8|8HwW=8BMzfz=;0J=`m#r=4uO zefq7x#N}x3OVdjxOf2)Z$z-8wQx7)dqmIGpD0%CNK$4Q%O~ZNdm+T@+O29vljl&%UBN$A2Sw=7x_^6g|2J6;WBC zZB67t4rn6A%#6Wu;D>2&?N_EdWj@`zrK*)iWDlmDPtHzX%lsVi{k zmE6|_>9---vhXOFz3lo%*@kvwkv4F5!6GL`GkEaV>!25z#`QKaCMSYIlJ7xhRW^8L z(>QkwesT2ceG9WaV&-GZnG8Fv1AK5&-sil8^Xrm( z4em|o5zFj@RzD>8#+A3BxE%!H9*)>I0GXvTNJiFu7vsHIcAjj#f`);+N#AIl5qB9V z_cH;dD94I&ax$k10-gkN_3ZE@`dFvMSQ!Zf8^Xr-9DFA^*p;e7F$V44z) z09(HIitwfJrtu`rNNHHu+ex@2XWjz-lJAUP6|Qg^$0fP!cS@|J=?1wL_HJt^X{v`C z${BrptERV)2UxB(;0I-wX!tKFE#5&9+kz(C4MY?tl1;*t-$wGhR$F9&6j8g)IDNr= zr?|6g_S=}`^axbCq+0peKRdDmjem4k^l)tY4YM?x$WpJ?`W$+&@|k^LYnaDPPxVf| zGH&ab?&MvTyL`5qzVp1+XU~a>{+MtBi`;{cS&O*PQhH|xShcc)T=l3Q$>PmwV7r?m zNM+t{t1fOP&on!X3hDGq!3VQyyb#n)?n|>vD#Vv4nioiSxI2i7!kN{PPw8n+3TJK$ zND3BVgT9+UD!mlz4mTo9qg zEoL>ix4};q6$;%m#||m%K~hcqD-XS2QK|z+l3Nvg3lSRZoY4tB0tI=Zp~dg*mH>qtn+D(#f=Nc?^EgR+Yc6WWB%H?ImRr*VwWg9OV3+E4Hkl7L*@pv41fP zd8u0ozJ*@6fNIaOzw>u^*iPhn#a&c3-?OdBsgz*GlIwIvYLhApR?K4RaVUVbfKSBR z{S+$}|K5JS{)kFKtyZ4bm-lflc4>3C`!q%E?i8t(9e;-b_ZkxzE120=q}DnMzc}+? z5T(5cwk%(7Z`@pNP95lY)0=K*o9%;J8;(?oir26m8^LT(O0wfAj~1OpbgzSjMF$MV zzSU)9+8z;h>?B%_-tLYhO*T8lYY@{6Vs`$AIiE(&A%d2kDP&ovnlXRjXbLbt-Dp=Y z9wnYK*@o2KB7QYvq*1^2=W@B_c&zrLuLYyJ>=!J70jP7hX!L?#SC@(d@-N&gJP zU2uS}bemsJzdR>hL>)7W+%%ICcnSUpj~5uE$iwup5cZanoY_Z z&YskMIqTk#p2K05fc&MUgVc``i3w)a6b=vT#uYYQ8Jg2FBPj_IeRhKg#LX|+EO6QD zVZQ|L)a0zcCc%tiCSi z&J||41?DA_Cf$)y&8hy<0Fb*Q1^Uh87ErZ}Po~*B=poh<093UTzSQ60TK16~w1XsVaPva8c)?j znD|ONm)-4>TZh#4Czr0I&iY2v6`|FpF65)>{isSt1afP~`#+#b=^k(Q zKal{B>U2kTr(tsYr!}x3e?(?8z(>E2V5f0r{C!rQ;D2!sS!TmfkM}5 z<(+XT@}*bK30<_$4;Ei-u4=TDZT$tNaKd|w<~mkhyCXPC6v18L3gRTVs;Des2Y=|* zwjJ`M7eb>17TCk3n^l39l7OP+TKT`5#niv>O#p|wF+$DcH@{inzt%@?N32)$$n%zqwdG=KV?ustn`$>y zQM}Jutfunp32yjbdE2UR%f&~S99P%ZzB8a>zDqjI+P%wPdoPAoKAgs&b$j2r2Qdm0 zWx}!P_8}9%Thg0e2_M5fwvt!tp57NngBw^LlbDv_y1j^QrZFIF#a#{o4V2J|xVCxv zfHP3f9CR0|oGI(54AkEVk1pUd$8;S^DIe(Gf0rjv7t{M>xWaRKM6`dfkoUFLVk^V# zuF-=4?(PTJgOauHUPNGT(BLvZX8v$cgIV8FKSj#J>>)&lH3i05w<<>Q>B%PquFE`v z_6wAsn_H=9T=UTjZ}@-2xG*HfzxfZWskhwO#yc~MI{AyS!4}8kMo7m}$^}Kw`0*25 z&J6>kA(Ory1z;nvS?1%(UNi0Q32f7fN&#h#&46&O`30?&*zwqH---RcYgD{Oly9Ia#YGG<5i93#@FJ4 z87g*0p)2bivC8-%n=P)~COwn-VfJQ2W5gw1pAgrDIwObCwN|;{xj1j>@5Y_jE$SeQ z)twgE%In`J&9-AlYH)>}at&x|`U>Lqt~&U9Pd7L@wGBPmAb!zrMQVR70hDJfD0%Pq zvAp2SkF7|_{tds8{e_Dy*io zOh~_Axyd7<*ib9#q#Wi9w(=-b(|mvMR`9(+xRVHFbjcOZcW|dzuAq78fY0QCk5mf^AwQPo)deE zXBmPNlrkVI2~l~I(iwcM?A}N~uK>_>7QeZZ9B~5Ys)^9%a2QD_zEZak-vF5`cNJkx zhGyY6xNNS}IfmPz8#@v<=@~sfkdjdZHZ{oZZE!>X#;oYbB_o%~M?S)}0l-Aq;Rt3` z(eBpGqe<((NOonTY*raJ5Yst()wvbz20Co}w!z&aO)c{{$C2BH&q;ZW#+wYn{HnDw zOQ5k}=SPrJe+M@xG1G6O_dqHuD==KvW3>u;9BnlxAniJ1+V>U`re{lgh<82ak?Z%@}=ADVl#UYN-GlrdSs@dsZW!)zn++jG$G zrgP;_cvt6wMFu?El-$?5RQ1JwCHXyA3m65#6+EKF9{=@A`y?F1tW9g6{ou{s&x-PP z9f9~(32(08By1=M3wdT!^hvIf;CpMPK&9xk?@Z=&vxF|C`;5dV8gbPugo1PI%$Q}i z0eas6Dwj1~O6Ta@9Ai$G+P=%5ub2K}>}NaOjhxmcM|=MNU`=LLxJXH5oFpyxrNSB` zg1|1YN?0M(ccUH8Vn|(Z;UJXJ0s6|tJV+6p?*xOm`R@}=OW zUd%BB?4#k~*bl07ftu%_)q8DKqP8^rZULfK_UZ?o`?hyzRy3yN!6H?Cwq?y4zYR*W32k_=qBrWtOLAWXQl2OjN%l4zqkXf1O7-DT~*F z2nky$89WOeHc4k`iWx&2Oe`|yaM3lS$@`F%G5r=`zm0n_cvZ+3C`Vm4G>;b9xF-Vo zD*MVm*?B+s<|^eS8Z3qi_~Gc#l}VIwZ5l6H1N48Z9SUH>yvcpx7p5(q)^8y*LZS3w zmbRuMMqZzY#^mw@J((_UjFj+h^4Bbu8vxdyTVM{3n92iAX?)g`TijSXL}-8>J1i@j z#JycHps(kbAiECicEEN!p79L4kCePkP;Xqy5inS-_Wo%>X0yyUwof;FuV4$yIdlBK zQk+ZYw6eu)S4mSjQVVuolpX2ZK+PLHk;1vsLHBYSut;)sV3X+~%=ZC$T`A$|6(7s{ z8$52sRr_+%+NPurBNZA=6WVhBhuQ>gpLrDTU%ZsO(G?d3V_GYK-$eXVu-Y^cKON!G zrxZPFpdNQ${K@-~sHgdx-w@1vWPaa|;9Mxb&3u;S(O`gZ%1Q~h?u%rnX|IR5rIT4={nelyBq99`>h&b{QnVkRsmIQZ5LK4>5`C;l5VL@cS(2W zCZs{SrMo4iq@}yNw$csKY^1vz{>3?-@4xfHo6TBt&hd`%jJYWEJ+E>H<^R&BfHCer z*rMw_0pYD&$DguMUeas@jeNuN*kztY8(Y;ZQ%SJ^!FvI(d9~d^H^gQT;v~jh z-b;XGWYu3&ZRy?>Pyr^j=Nx(t8{$%iO&$cUdt@!j)z}-~TJahbZ}57;3kP?DMg%Q4 zM@k-922Q-v&pwUg@h;nun`z9c*w81LFYIlBHp^uue<%q0`)M!F-Xfk2>B~ksy0AODNgohQ!vhNAaA3AWeIS% zf4td^wYe64>4iCt=fwX1ckVi;j*0 z^e`_BM46AX=Nca`dNKouha(Frepvv@{h1W_%<~+hesBrW+ugnxVXNbfX3K~H)F8jB z%~@ufIrax4wj%{CH}kCxi!%rPLh58MHXfmMTMOv_#JZI|%5_T9(_K=7=TIdoiFt%K zux+LLh|>`#rTZoy@I!0xtk<`G>}@-)xUa`P5zk6;kp#FG94g81mRdb(Fq-XRsbw75Zd5J^JmH4Ro(pPn;`nRINt?% z^a3*@qGz^H{UL5Psq2M2bHnGriehJT>nb({3pTWQTdP7A01;=nvNK(g?IlZc8p5(fLFcKc+Ob zZN!G#__9U*Pg@%il{i=J2ZKBR2X;wA7S2XS2D~*gt$DIS2q7%QxFvV_JBzHIs{jLt zpZLi7S6x`!k*xPuE#D&HM=upx54P;jX*jLVmCAot1C0Q?)#^9S+K(U?#zyGij*eXb zz?uHb0uo%@dv=!wmmdK}fETyVlVdxsO89~^3W{IQfVdmD80E?_1Ol#5Mj4c0qxZckzcvHc8s5Wfw3TFyg6{BvqS@rS z?UJwHWliTO96;mXM*~NIhtH13$wPiJK&r^^+?oIDvEgORny^Ms17QcC4d<4h2aD;2 z+Vxhdnp;S=0l^jU50KekI9TSH@rEB|?wGvJc?b9HI{A9ihAnk=?mM&%|-laBOniO@qJhBv$H5^9(7}X zaM8TSc^2JnYrb`NRyj>lvPaLiqPoQIF{n)wZ3OV9R}sm}=|{<@6NiqO&F0n{mJ2p`Gc2M?N;O(+g2nA*&66* zY*oBM_bfYbJ)Ocpz+7_+n9%=68T2~Dj74e8J|1L^XL2>|)<5#GrMdobFmNB}h-rqj zUlz(-Ju%Kd{N8HtP#=lfbk^0sx=9cIv`nIn_edo0DjeKUad&y^t0B=c+ISi59n+e> zGrGqO4Q$3Ph+-jfg}K0K+y`@zY^~I97xmC*NpK3H10t-7yX93c{bwp5^ocBE2Ppl2 zC$X8+Yu24s_B#3^@BKfm>=s0m?N39!tg=sYmPBk3bfeyegICY6XiZv7jT#rH3NS?6 zY3$i-dhtCDlQ|01T93#zdl#q!i>3X^1*xM|0N5&_IP&8aUv?0iP9LkySHBuKpH=;C zLdv^)Jc}0eT9|wYHXYK{ud`+7thy^EJSti;6BMW~2C5qSNW}(5%tXBT@<0Fb-%0km z_HG^1C9_Mm0CYK%C3yf;c$l``=Z26y_#}o#9np=V8LqE*qqo*ugF|NJy{!0v9>iId z=a_;{j4z%+21Z$hJ$&@i3jgVr7XKv=&}R@BK_e>J+Xf7@)M1$gy_Mk~ppltJzA^Of z#irfIn3-A3hL|7Gz>VWTuLSaAGa7)|iFjW^impLVu(L%t3l-U*5f&m|IlPE@$VVc! zNmoI){VqZ_T*zTUl3Tx^C5gby0(!is?*+7Z^s_7^Mro(NSwWB6qGOMIVY}bI6}4zV zHVB;3{_S_W?`T2rg?xeefg{o^stx3cfvxJ%qUF6Flvy#4K~!0x-4edx%^NzngX zXb90GTl1R-yehQ*Dm?)9{G|{QQ-Amqm>)=l_*x@%H zT>JreV4@patp6Io5zyxX(t@u3vq9+6TLo-ZO3$e#kO%v`dyY2KLGTX~&-l2*(4w{z zv`x}_bnY3uZ&4y@$Vvu+-Q*bIR`N+8OgLl2TRMF(VCPwO+4@Huxh2Ls&x4g2x{ z^YUS(p>+ui&q~x%f$uYOSLmxi1o>T{QsnBBx%5o0ep?6h2k$`Xt_L0!*P{2=-R1NWNlfZ2_~OG;s1bK(7hhVRLWh^fM1^rkm`LsuKRa~ZqL63 zs6~N#k!lxc{G+^VR?f;*jJ9T~F z`iWbw@fC%83yIo=@&iu;feAYTNE6$g?qcQo+rjG;CxI9s;dKk*zX8Y$;0@|_7%9pP zN7r#9f5t@1?Dubcj^=>t8kGfH=DaMF&(2bsMMn${eaZhL4}%@{c?zy5t^}QuO}&N~ z-0U<~ygOuo?v{;q6c|7`-(L6ZrvY-z(HaJoo6>k<~C&jlp^=CYTRe%Z_g-hVwC=`CjJ_Ox&B|X1>d2Ce5sx4 z`JI^(;EefebI$ye4HG=8cfjhN8sE|=<(<3DGNs*0?cN7}S@)-CU}|%?FI2i3w?fl# z%ff|7w)H)DAMCK@94`8&qvalN2%pN#EMH-?AOn-A%q~vo70lJusGA2*f-uLwHE#4M0kmY(769)fixyo@udg7#ezj z=5uY`0cQX#Wa*txcF(W4N33Z63ZF@v#UTnO$kI8WqlN;1eGBFb^wP(6+}MuKiaAL6 zz`SH5JTi!9`zQ`PsZ*Oewk>A>NGxYF$W&>v1bFrv9j>RnKjY(vTp5qu`6TF3o52Px zo0ri$d&b<;qrAJ*9Sp5r8`_f~^{WS!ySY?=c$^Cr^)aOZoX=c9Mm$qJME^}8|F97{ z>-c~k3#lhwoJr&Z{+9~Tq`Mr@e)>@H>+rHlAE+w*Tj`kttifkRIsXa>6QUEl_C>b8tr; z1vVtv`U?WugsiJN;@F=#G&|a!_s0k?QT@0D^CZt|dC3CSVAu0IH_GP!pKAcr-%^7z zsLOWU7=iJJYeaB?!-De-Agq&ALGZv>Sw)}z&)x`(3i30C8_Op@IWk4kK= z`WGQe1Vk+e549K9t|Vcb8GOt~!50yeGZin~F-9esv#K04Km$V~Iu~>I2Nqjrf0f|; zr^nszZIVpdaX`Ot+AT=Kdi*qxUy_d&_kc=ek2E6ZJtms zb3}F&Gn(ObdxI_m?E5@xza+B+KX$WDdI@Ju3N*=gI~*?AEmxO89LL{5Mu}Z|DP|=- z&-Xk{vs!K?Q}1FjSe#cp#}{!%aTjL_Np}zLAWcVYo=WWIJ*gQ-%a!zL4Kcr!>q`~8 z9hNE2(3sq6IS2lpcQMTh+R(R8pY++yk=b0mANQ0-C)~5z+wNd#0E-EgQLtbIdpx}} z<0<*-HnwOhBO~#yoR53A*sIm|QL-&}Y1BmDgjaxg_+~4^u{o&U3i_YnuHId>7r*it z+u-2*^=+%+bahphB>%T&1;U-TX{=u9WiCNWfWQeZ(03RugoY>1hBUakz+-*G|`^vN?tPxO$OXE<%WMNvALOLf;K1y^YjB#@q z_r)TN1_~pVL|bY^i|3ljY}OD+b_L>U%HPruc>TYoRp?%e-?c+C4?~^<@Ql)FU4r(w zHl=;DqMEmWLkpZOX_pjp_ITHejou--l?vFYNqTEjUhiy)*sO3Doh0)p06D#ua_Zm$ zo%6neZUYx2iaMa2(;GfaumE{r-2$&~y`%3(qOGT$O~27Lb>xiMsfWp$EN;6|B>?`u zUPsd{D04L$q!D0h z&x9xXSX0pBe|VwX=KruQ<-gX<725sJ3o%oPgExx4(MQNLb_whG*8Sv)VbbxYsX6#*h;q?*0mJG17vwrGdn5bnv* z%)7_So~pGJi<|2q8OSKW#Dr-8AL08;=S{kRT+{@X1)p-4-#`NGtuFwa1=yN+dFik8 z+&^r9Uq`oGxtFi=6R+f*0Er4=nz`=N1Hd|hoE94UtVXHu#8c*nVXm;SL@i+(OL4fGm_0lic(U_w|fAy{8 z1<)roKqcfmJJ2DD0AJ|B6#^p5zN>F5s^V4;NKGf@EF>m9cs zbI-k1=W;86|Ed{$7`Q%VwhjOn`#%2#pU;ao5E}cTzXw1aJwrJV-?{&|1)$sUQ&#K; zhwYlHM}YMPs)L~VTs8R99=*WVCt=ZX$r_Ukh}*LgzJr52l3(=#s60|fC>eZmy?&X!h?s%VJ`I|2lT84 z2sn2H?RG2_1arq}O_C0@TQ<`cI37ra3dfu+9lNlP?8gtC!TQ8^G5G+R`xnoY0gZIr zBt_WXJThZNFM$tVw?F-&4|YaMb+nS zdx#Lj@0M%ZCij=zmIwwLYUFjZp8ea-rFBNqOMa;Od>YaKc&W74jiMnvJTBW~Yq4k{ z&LENNCsC^#iM6N4_xB3A0u`bmf+H&48!_D)_tq46SdU9J2cApDD^XAP$9^#3w;F1= zbOQ1;@xG;*rPm|!?#d8g6A=@r)?2hFO}=Hiu7ulRu#J_pSor@6a@A2H-r z+um&4WfXbP(oNC&OtVv}76WzCd@rYU)hivUCy;wM(&#`Ta7)hkN8PB5yz8AJqwp*= zV*R}P&vB=tG)g|I4`v%R1RRPtTqQo*MXlwhmmwuD_!Msp)jB>p+=&K05aufQnXM1v z4K-dv$x69~;N0tdC;RZww*sPCxv(}x9@?t1js-|o1YbP{FIi=98fv9}Rx#-82qGsWQ^#=%wI;5WKwZYmV<= zPDdwju<2Jl)Ji*&DolI2m#BQ`T6R%#UHO{)vKSX%HJ<;RDG2^@%;XOxXuSRtEM$}Y z3v$bSBlCxYi(vC%K!#4^m0^C>^k7gI4g{gqx-tp<_%sAL=?$K>svgUu-HDD(=i5W@ zx2_H7Y(m8sWV)G7%8iKdS*=MX)eiH)w7!`V~$Y-*suACCGs= zQKei^6;zaHJK(ZjvN9@4+V)O&hQwAezQRj-UbL)RucrE&T8Bn}EIZRBky@{! z7D*&klP8 z!f{^fR;!<@`)bjW9;cyYVRoX|{7^VkWax$Q&@AcU!tbHUY_*f@#GthPn;VM1Y~dv%aougMYL=~j|9F{PA}Zj#H?5gCS5U} zcIOA6;(#gyrjB1S$~JMuGxjKVHc5&L)H@$mYidud2sN3)XpOIbmKswCOvlk0#2=RX zoi+HYF%W*%Ezxic{W!R`ySIT6#pxpsoyY)iCDOE4(FR!4bBdS$&x|h?DFRJ&!W$Mj(;lz}h<) z5)U`ZT(fL%z3ETJIYh0D`-9j-Ouc3xxKu;Wm5(IpUAe}iQmZ;tWg!T9=# z3wIJW7VbvZRBElEM@+Z2>7W`Tdi_zIwK#7QBf3NNI&OuR!eQ&Q&IO9$!EffLn#gHU zXZVC5Vyy_$GVbWeyb1yN@+#yRLUG5{oTF?+cYo}y8*Xl>)>xl8! zk~=d&CGhK3w8bc6`K`rTB=5}~f#R%1@g1^#Z4YerF9RXutY<=j|bReCfqmIjklqO1`#eQd2z9hNIAK?Un(g% z^s$WWH4pC7I!h(g?ZKomZm`t&$ZIJH6h>M#xQgX|R`fHS8>SJT1^Tmoz3n;u{@#Ju zYR8S#!%TMbTQn|s3XxNREdl0xv>U(Hdwj($gc-KBWejwPKfEvh=L$`Pf74=1nWixz$t#T=yl;3Ho-WV-R?@z|P4f@|1|^fDRK zqm|Um#(N0<#eh9deVB3=`~E8_G1nA>Kom`jme$WoJe|E?z363zn7g4C=*acKgzSld zHYLBT$x1omU&u61e&nIgG_gXWm&te?`lN#!ACEh)D|4*WTqacc<2y$YbSbQqS-AvN zN^2OAG@pI2Tlb6Mo2tj#P=$L>`{Xm~AEdFbg>_0pnkubdV9LKZWDm2}X04(?P`@h{ z#+^VD`y`D5?VK{1p$2vM1eLHuRw>t+;^I$ntUj*LuF1XLE=PYY^GfxXJNqg~k(%uS zucqod3m)ReLP zK8QA1Z?(eZ#~bZqCoBnA&6l&peVkO~cz0v+VU?HUq0L#bA(0`lzvpMN>4@nKRL5L* ziNkMe)B8etS{sB1lnX|1(_F(K*Nthh&1E>IjFI)rVW<(w$PkT%6B#9!r1}KL9_>vE zy({C=9UJ9d6%%gi<7m44B2FW~#3A;UabmqhSEVlf$9*L!Ibz*61{G#l; z&eOii!SR)l%XQ7qvWMa zlzOGe%j=B;a8iexh^0WKEzbTGa=NVZUTqgl5hECbcm4jNIwkFMn;Zkh<}|yc*M)U# z0DiTZya6$*4ABphoA_D?949h-np+cV^1O@0iuy~`?4030>NB$lO&&9f%=pnlFz-Dg z>PJ!)Cr!A8DG&}Fzy*w}Bp5|OG~~{s`514ko*KnZ44&$Xr-2sEr%~gMni5O2SDk2J0`Wx7o4&-4#J;<1z=z2}+>+*3I)W-?g zZ^J_(LYw*fwuy({tI%Fc_-6Z+t@V@&PDKY;jLlBy(81M9?asile|Tj=ZVSkxkYcSl8`nhR$Tj+@e8VU%Jsqm&9+Z6@OO7>yOo!;T})YR8>Su z)WYKldF$my%x~9;XK_v)Za%fik(N62eNODf7|X=ZuqRB2s24u6u}r6Tnz@o`KFX)9 zQz!`qor1;LMo~dLWtlDk-MwTE$moLs+BhsouP_Ug{tfx3xM}Qgv($_`27To?pM{Jx z%D#1kC@4R#5j)q-h`Tp&!iJzk{86G>Kp*q;1#GrM`!YWg$I*my7u9M1?=ooT--&S-jieA36XdF4f%4PtBOs4 z)u7)=|0tBSsK_u#friiN1=lN8Y3S4U;-||Pu>(7g0by}qOr%TynQ>QHHGaRnytu2@ z0nHO2b70i7W9(1@-xC@ld2CBD$I8~f7Q@|K=q)DDc%`E*WKDTMoLl_D?-#dWzbbbV1)>WJJ~JO?P>o3twX;_S)q|NkDp3#&ytv_(fA5I#;Bd3tTZQ?j+d(5k)7O)%loUdGKt-D)%iu7;Mo=O^ z3Zkj#K16S*Fo!#+>67&z!%Pd6V+mrfcdD`6?Ne8_X$nT{Ow|7TnjeNrMWP5je33GY zTvN9dVdP9b9g(SuV}<187Yd>}=`S;f8RT8e56yKie+H(6eJaFBia*Bd5?7jSftbxv zm$){JaK8VrS&1Pw

    A0q%HdpQg?iTDTgB3UR*20Tr)>%z4nkCj@W+r-q`*Lb!-xi zB&E|z%{-%6TWbRjg8bNOh{h52Xv>H<%HKDOm889|()|%zuzsD6;E!gg3lwC;@mm*& z(;}HPh)QbO5q(8cb*!&K58uog~0o*|tSr|G# zx>cF#7$nt>!r_v*`o&27#?Gw`WDXd;Nvet5Gq%}CuZvNtgAS$Q#VMFSI+5&9$##Zy zThQ%QktYxbS*RJdsgScq=DZw(A$HUyq!M&PfYJO+EBRwehCXYo2ck##;oyAU36nKIfRRfekH&)%>{#$)u0%{sLUg=dQPC`nA9cA zH~-bZn(}v~$1A<-%1=pMl0OuV;amg?HI@rMv!9QUAoTuV@?iOGlKtCFdh@i>n2NoZ zOGaf21tRDa-(W2V&qgjO!Ae{6nzIXeVRJ(2oMIn$Od?#e9w|wRe@kH}!;p!2%0N7Z z9RXR57vj}YKsz*~KXJ7D?S*=z;$EPjcqUs73m2k`!kuG+9C6E76ThP!@}1jdVXN95Gnl}4kqKbe?Eko_r?7h+^cva;$q!Z z@I=s?Q?3}4jEysJe)n-x``-A$Dh(>|ipjl6O)~URwXTU;=k1^SG!hxn$KlaCg)OD^ zSQ~$x#U4pI{7K*D+CvN4_6=VbW1vH7YHiJu;Yl5zpp#WDrJEMhE-00IFAY0n-Xr|E zXLFQ6fM~M~l@Gn_Kq!L}pD+c}Y#L0<{9!#)c3sRyqE9m+%-9Goc1d)(=euL=%e<#C zv4cKfYDphz5ly03@r)^wRN8h75Brphi^=esN}?jKcQe9pUiX(hrS(O9NLHw&ACCQn zk~J7Q-7i41D${EZUus*cNwvY3JCKU0PL@CMCJZx|YxOGp^I|-k-Bjn)cX#$_$ZW)P zU3P(nuy@kC99VHAqa}$HbbQ2R{YXjK*oZ(g)`Nt?4dcQq*Is2K@-zA_d}(}q;?qR;yW z_%29cOKLNq$_J6_cm062m6A}!1x$@defac_$Oq(D7KC9r#-}r>qC^S1)|x?1L$;dr zNV7zmYHMvMk>}zk_ror7D@~Nm&G=P{xS5W&WaX>oH*yZuIALelGT~e$YBBv=%j~DZ z^;C>T9~^JKdcQ~JTQ0xm4dx`UzC4BYxFCrg|n#_B*VpM`1Bc&YZu48SJU`Svl^-(_Jt*r zXhTdt$wyr8J-6g1_PK4cM2U(I>_uSctc%ab$j2Os1_Es3F4yoq%sLQfph9Oqy+IFnF@dw*R8EUFHEINB&qmRHO z^j(MBQdwjs`kneBDDTpewn+!x1@qU0`9loxs}qMZ#_-~AVJ{6zCR$=WahBaav6`eZ zN%PH+2Hg+gMAeCE?xuW8d>5(p@QV17BUS5#c;%y=mlmwDx3p=XEd0Y&gcHd}H%mc# zhMs-RH5oqwIQw-v+wd`CW9c9|-PZ|ddB!;|3u*N&eYalx zU4cxp-jn{l+)7O;MmyWUcL|Bfi<1;UD+ZLWJD{8PG~)#(f+QA3F+miLm1Ewe!_9%8x4 zp}RA5myP|&K23i7ZW{Y!f;D8G&&yN=Y%G^3({SJAUlSlk3aQOti9-!)l8R06l$-e2 z{jCW7^F?XS0II|W&)fP5NCd0raX~&kZ4ypFd43}!Jmv>6OvqH-E3rc?3IE2(HpGOx zWL1n7olcCT9W;#8aTOF5tuA=IFyyHdfdGxKCV5}Q+fVGO1+wsGqEui={sbKbZHUHB z_tB`KwhOT+Zmnxyrx?-R(U7}+Cha|eLSWq>u;c-;E}0qP`3+0YwxI$76|`>R6{Zy3+*st4dotywI?8Bjb~0aW zKFDEqbc#Cr8B!n^@zd83iK~-X-16QI(GJL(1o@WaW{Bmmby{{3P=|3eP~J9laj0+= zrXkH})CjQRph^fun8vgw2bp!OKXJYTpa5uqU#$Jn!PK%<{cfOQ zhH-%Yas|VwFxNhR)e9z`Ak@28`uQH{!A|w>=Yl?8o3*S#sW|^^yw6}#^?oY~dQ@JM z^f?LpF<`mdX!zcCF|Zqojkbpuz-A;v^_DcSajD_M4a&LY%$|*5K$>CQbj!PR&17)F zk>*j$`ASf)#Ja@V=;_&M?U!k~Xclq1fC`VVf-b)_6h?n0 z?bDzkLL6jgaF}&3-V_pv`EuQXDVFfZ>Y!IBE||m2L`L+l_9M4? z(fcHg$5zHGM!MH}nsn}+`!O2Z1;}j9A$}MTq!91)T+60{FBNr4ZYVwvE?gqw-6El3 zK~2W7iU;~+)&dlVd%H2ysY2@3gdg8%4Nl*X54S#wzTRPRHAe04tNc{jrLp)#6#We| zzFzVE8ZaF}7xYxl9jo2DA0&n!3R1C3-axeIPor*eUX5$-kye!?rLd1%QR+m{Kv<#2 zUOZbj~pSmP4ffCq@&YFi*NrygGM*%OR8#C9jD??%UdTr(9!@naY!4Fe-2{gw|KkMB@V#xY+v2 zX8cv8x*~(p&mV3~q%W4%*jDnH-hL%MA;8WNpjjwlkwN(_M}_L2O5E`2bs5WcHr^|; z^?~G+gQ^eYU*UStmwAaphvTn4SF_UmC{)d zLou&jV__;`%)E+{ND9Ib{`1?Ttw34NRtQN4oKxVITSh1NX0H?G^yeqn;AkFdkxan6 zs%9JFu@U}l#)NO&1AXE7`>amW@@2Y-2Jlc`wmu5AQi?&f{n#zRj#__OX6BPo>Ay?~ zI9IL7xv6zYsg%x;sSCbK9iFcJ7_@$(pxozn59WoZO2X$ggryHk2zN4=)a6QXiwt9C zZYx#}RKh#9Khc2MsW1_83RW|$MK~{<8&jW6-ZlH2r|o6tSvD^pf=^4A;2GZER?p$5 zu@D@}g>*C{Np+(yBDU2m_Jk}!dqMe|vXO#sl}EEh)X)^Wkpiajhf5d+Kwb$EvuCj+ezkhF1-wSj(>mZ#l^ql~Vg9x{tF&QpJcd5q)Pa03h_ zN<)QJj}Ess!#w@t*TPiux7H%#F9u5m=Ijjvc-76_VS-iI!v;IKZedWZQAu!1q&Et; zIV8$z9((R{@VY5o0R<>Bmz2A?*q z)}@N^GHojBGiH2Cx%7}CiI+qpqcAc|llS74D#ND*gsU7Q=- z%e@jKM%GIsoT>Q*(U~btq^3Oh`fVQ6F1>ga$#KE*u}JkWnhK&b6>dy}hhZ$=d<8Ea zBxo|TGy?;XV;HN6A{oBdxnhx3NnYruXwx>-M^IxPAu>B$-I+{j)Qcq1XrOb#8&DevA|B5=Huw~X__ z@+@gJ_?l9^j1+8oX-{I?nc0bn$Ikzz-w^Y)@D+x-@elW?qMB>5ypJ-!{F*YUdU6;vaqHfAG&?zh~Y=z3)sKaCwo3kSXtoGX3UX!QNPN?+Qm8{r#cRijUEPCY+^pPpyBRDW7(%;w`ojC#vD1PAQ^#r zo==feWZ12pTGk71RDLH_HRCi4edI+cAPI|hNr+S?1y}V<2{V2dno1RMew%|Yu68)| zA-+M!ETc=TACsQy6WxwNASs_gCn|UnF@V@mY6TomW&V(sM-?FgTgZ9B7xo2rarXuu zdnYXpY0{0=PBYhrT)M0?xRys4Ja_6}|?2dab#p~EE}4(1Ly6JyZ6TE;^h4LZ;)kx*i8Y;WdTgQ0Vx4>$ZYT41*_T#-#;V>KGl!R}Du`*_AR2kEZ zKe66wm71&~4e^xhI!gsV`t4W?SAJ1_3`YqK9Xe%%Nl$KG!4s`D7|7D9bLec!iH^u7 zkbcR?+;gC*9(xKOPKtn^bj{^-jwWzd2zzQ+rBU}XT48A6Mxiu4xL>at& zwywoZ)34xpDnxoB=@RNre@XdHXGuO3A@dNzxYZT`$mCBlitHj`ERbRCu-g5C6%4vNbNgs3cqD&e|NGzzyBMms zz?FTyCdneFQ0gc7P^}1B6cZtK9;0*LUyRg7QPEf^OD~W=D9_+C!csQxF%xQk%X|~9Ul4bPkW5$XwXYZSGB&YJ z9TMzb4Y=|e5;u%Q+lZ4?Tr!oSI=}M>wr8|YLt~`p<`z!6*=!@fyuf{12K|sSL+*np zC&F(eUL@_`S?_{A-m6#1y;^v=E^S1+7Mk)^glL#O7OM!A z#vs#68kcV~utWa$OO3#VCmR2h(SEB_Wi;ZKx(Ph6LAPR={{;4aTltD~`b*lqlx5AM zzVRbGjpjWRrcMT)UfEjq^w0-;!;Vg>)-@lf7`$Y1qLx3D{9NP5xnmq@MQiL0by18N zwpDdW{8;z%7%t%=FKOV+!#Whn+eyWuws+Km`7;KU-Q^!U|;B~*LMwzgq zeE+)(F!lu!L*xJOOp}+$Y2Yf#CIy5~%>><8z>`$Af2zAb1k?WolqGB0ZdxZ&V=jgCEC40BK|n+% zY)hU4kMi(PzR$#(+~iEH<^@r%@Ml&rBj_BGkN zM4Yy0hgn%*F)Lg^t4|UT3_>I{0_jiy6f4XI{b6LPtqZL?(7=hU z&Y+l;0vSD`sH}hGi2h{*WFWHs)Pz-fA+zx`I)bF4U8O|G9?+7(T9P5~Sh!e+;FG2J zNJN8(WZ=q48Sk)Rga(n@?!Y>)u;TM6j4;a;*KvUQV$8WEJrwwK)sXTEWTP#tFgJ*?dE!G5)H3 zF;^tWg}j^}RPx}>Wffa;6_|{OZvW7rE{vp@GAC8HXmzWf^ESksK4rIP>{qgWwuViN zT2rhkYKncW{`xi@__`op&)2dNl+{MQ;fmkb^9`xWe$6`II;+lx24>U-v=+X4dY!>7 zGQubDfzmCOmgN304vxh+>iKN8nGMe7{gU*HwFwSj2B5Dv z6Q_GdLWGhFWZY}mRq@_yi6ur3EC__xN-u$&{F*00n;+bL1s-+By0{8T0Q{xINzdT zewl%Cu9!oLWn1J?5wa>a;Oh9I)y4Qs_~HQ&6CQIwqTa`b8#rM2sJ&Rs?z3M^ECspR zh%6dmxahx%jrinHu2U{0j8D$r>Qfyy7-MV2fB~&ha2*J7QLwkG5cLciz&~9Z-Th^QJ-rs*$iq$L8Mom#s}+pWkGAe+aUg2Hrba% zWSZdo7g!~;C5>0swa{p@Ic4OYIZT!wnMt11VI|fU3G3~%BvOf5GA(tzNCiPqmlM2p z1!O}ZrSPG`f7A-?NKt4&ENT3Z?ZGek1Crs`i zmp{Ofx=mY94JIO#?C!E1*VE|@rIzZxE+p19lnX_CbrDrj z`Up|6GT7{gX?^+{V5&a% z(VOnd<@i2njQGNQb08=UEwl2K>+hmB!40CrqNE0}sSp+MC(T=nliAar!j3i~1Z$$g z8@~Wo9izHxdM)0=&k=ulasNWO!mv93uGt|->l;E5ufU7ESF8yKe27~-wOF^Sr8Af| zp7o1LsiDO2GEw*mA6w$(zBHmXTu63G_)b6^KqpY1vXH~_cm;rGs|6NOwZQspIPTOo zvO%w+%gqukxEMAO#Cjs{c z-(U~@%ETs260p+#bWyy!1Q;ZUx}1gwS-)(&S*#jDhE~B24T%#Vg>$DdBDOpcxo3b| z!_^=v>!fXnn;Nvr0&YAfsp-DH&KTPl-YQi&&e3>G~oQZxyEcfYPj&FRCu9 zw%JhjR(J&uwpJi>;g1v+NS$(}72*zA24i zA}zFm1bj>s1O$aYK&^~7k@ZDtlMQCIx(Xgvc!B%6U_YQLzltXnR9kT@TN7+;Pni$* zU6w;^K+Sd0C54KuzhsHoW7BwPtR(Ghbc(W`QBjD!SntP|nKeO7H3&<(LDrSm5*+GUY+4J#kOPPy z-Jvh^H#rdEWMMHv`G<01dx>DDNg<4=@ls|5#0kY$qXn+0*2XdDZ6}QyY4Qfbr+@%7 z`P@ew?jSh9tw<6Kn+GI@ZtZ9x@jB+{!2OU7XIiitdA*hE@`Y?MyBCalE`<0CG!{*s8B zFm$ShmFhm*P)@0aP6RM|v#BLA0Dke-aS6VhaJV(M)p6-BTR~)fO1`7zDG=+1$!lE; z*q{#0W;NfT1>Wct)*m&^Trk9jd9gXc^usohO@t{pV@DXwJjHAKlXRK&w*$tfJovak zY{n)F9(Pb1ftn~hTg_9KFUkTVMC_?zh}Wb0K+@<$RRvmjMOpXE2%o6`A`;3iBF582 z)^VjZVym$Chc^KLYZ$`csw73Et!^ACgIrgG9K@N<3doUb!C}XWpbqiPG9eKnoCx#1 zG>=|d;L|D@kgdk>&G~Buy!*qVm?qjFlvvBidmDsDttfA7TaukUID!-KjyJr;U(n$b z7IwT9lDc>OeY1w6ic@`jJuen+Dw$)T<=z*#BB63Am>QxLwkj+JXTrVKqh}h9)NqL& zElX{HiUF3`H{ke7UF?lY3vVE7s5xGfm`sT|Ox6)Ebiln@Jf#QLU4--ysAj$123DM& zV-iqajGUK8?f6&8zY#a*{acVDT?a@}(+P+9&M#P&oEf;~yJZ!>o96;Hw&s!iHwFWf{BmgBL=He9*9d6K~a~Q zZ&mAUAyu!if!eN*NVg)1knb=bKbx)L!VNQc(ZCTe+$dO)f_WDb40YZMj(H5D{Dj{i zJH*vqhvpVhSG7sbJB|Psx)un#}RoyQv1q`>Gxr>VsD5TY>>OXR&}3~Inm0n*>_$p$O->~^+IFZ zcx1d>oXrBj53#%m3Z4hSd|_}ZS~D63>^&kiE3mi$mS~rctB;7$y$~CeNp)LYAyrNa zR^VB4dN*kj1ts~C6beeL#rG`l=Yk4^{snZiVO z47y!OdPWmVaTB3duwE1MhT7K?e~&_7=JfRB@L}8Q4<%e3yL}elJr|@bJYZ~oZIS?x%+Hm z6Xz3+05XO3#l(70^p`Xu%VNSb-wmFNI&%mEb>FBNi2*j^)%I?YiTajeWP~Ef(Qoh- zCLQl3TO=!-U8Y}m3Y8((pVUC0GMK-Pn*d4nEbH&PM`!>I901c6!*2nZ?_1M-=^fY0fE$*2+*`0qDt=}u?7wU>zg9L%TyQ5p!GcYa45ox|Am-pXyC(w z)8yyFY>n`u2_)$ONs(1MfVZw;-bO`MaI{wU3v8o{RhLaqCpEDk9r%g=K>l*AHHpoN zj2Q~x3?x#_Ln_Nu1{3_pY+C?^#M}F!zjX@f&Ee9RX#-N*s^V}X5cnggFkGSgy_y@C z9cdE2(9G9H+ON37%Yxvlse5_QRQyT=n7T6=>GbACQAt1y`V#W+tm}wYC$$nqL@Z*) z7}+X3Rk@#GP0wASZUiB1@UHi<;Rac56j3u}RUp{v=hP5Vti~~9X~9OZWeyZD{;n|^ zChR}V9}Wm_CP6|mqF1aYt9es=L6K@lDW#LFD7QK+Y@4vyf~g4&;0RX|GQ#vtXUln5|VpZo)tbti}b`rH2VH_m>PP zRYdbG7CR+G1;r5KN7JcZEgX8@hS>3-lnIVmbF81O5zGOF)d$uR**4*L@wNKvYg(0a z_ENXBAsNCXUC*Leh` z{ecFyh8G9+rs+>0PjOm&3c>V&b#G3C0xdAZ!iuO$vF>|D+HYriIEt~n1!7G!oihPo z^KL3d$r?WPCrh!b*fAMMtOb;7(!I*p626hNC^u}>aV!lhrWr7+7T7Wn5*~J%o5sY8 z9NAhM4AgTnzfS^C>ijX%2y93=>}CtU0`&xUolpWN9a5*gh@AThqXA?mchXjFShaMr z8x{>`!FFUh>B6!V=~iWH(rwDt6h4);hyjL*H4#@>Yd+R{EF>ea2`iexXLU+9YB=Ch z=@b7n1?kC`AboZ9}sEDN|k`@NXzbAf2E@x`B;SJNC#B4((I*F|c=fNg^X1`0rn8bAn$2oxMFyE>~Q37=5in6VK zPGl+BYao>U1&BA?>#UoYt7nK>)>^r{)UZqA%9Y|sSk-XgcX6)83*=KTRvMl$$()p^J9 zauy)qnuC3)j%yjbz2t*brt!hHK`PP&jDTR;2tOA-z=phIylHTXUZAD};gI*Xfj_=O zop!;NO=2LkoJ0H@?QA`*Xq zb}$b?jU`hB2C5OvZz-RODOWr(;Fo7GAhw<6DyXW1+Zi)zRGPmrDciLLxkE}3INkP+ z&Iv;k1HM+pgrRCVy%MYZ3)Wa?##8{`ktK9F z(Y*D^iO6E_o}9#>q{BmE-@@b#aVOsNU)Q8EXJSopytm)lmqGoG+n2 zDs39e?La_BFRMXLb3NTS3ryugU>W+9mi0vk((I-Dx~^nlcSE2>-Q6p znA*@qw;@h{!H94qNaN}(HjV&duf*J) zC0?18L)gdrg$3R#>W>NM7r1?VGP)(Y4>lZulnPze3H<)_2@e2@zuaZ6F3RMXPJE(ZV2)%iYOvc${YwG zGqZN%&{kIABLk4)Ph*xtoDIz#AubUG$ASgrW-t{lgSV)+A+`c?hi0)-Su3`)C>mi2 z3Gc!xZIQZe(^$baYZeO|#H%*3L1Cw~2ya%ukflyC(UlK?Y+HmR zQ6qSPem)%V34f741a*(hW-nw*ZRcEbM2fOotRGs8$p4F!FH}=AQcNAm+rTF7Qua9@|D3ox zX(bT`mX^dzu@S-k5A*s>a-`g=Uw01aWnn!681pl*-ZOlW7+{$b31eDP{xUJ(W93s^ z059P!!Ly`ER6AN6EK5(j%i5!@)zj94MWIZF#lf7>M zc{i+00VQO`V>FTTFSD2cttc^oy+JE<-vPy8ZEjK82a=0#bqz4Eg|Mkpm+8JSec+tf z(CSMj^d1TX6=A({%P8Es`ApiJlYTw*v~={nt)Z~&*~Zoqb{@E4+!cPX=o;bzIB+{S z0)!O=X^d1yOnDJ*PJv0!BktK9&ozf;@X9KCi~aFph+p9|qAD3u>sq!IU~Q3IWkDzxXGqOjPBf6y*+i8@NPcfmhft(AYXQF@{ozVT!Iw zKxtOyLov}7WoG)_OHbty2ZQ;a03UkVhZN>_bE46R0ZmTS8_ zftL7U$iqfPnObG_fdu&yV_85cJnxCw^2SxjrSh2cXNgP%NWe<_KBrm3P~C{3e>4x$ zIE<7kC!(NT0bw1){#14RO(l(gTW+?LVBG((o5B`;Zfb4e+Z(HB@M*@ELaqLo9&Cb4 z`I=fW@u$$4lXj@uAk&08CWK;-E*uE*%20>w2Z?B3KzJSUSJ}3p3KL@%#Ynzwq@p&< z>aGb64Jv^UqlSPHr*bSYxwT1Un2rOsssyQhz&4uC#EO|pbRS2^habX73^AWfW_^M= z+E&wKx}ab@$A?0)D@vaegzc{fBvQ-y1@n%t)Dd+=F^4Iwf03 z*>(WCgalTIB}mD%??Xr8>c4C%{j4fB=o0|kEEpH@s#kH^5y;P?>M`yswG10%+u1AefhjLeuznBJKg>r*?4f(>)A%tc~wQwfUm zbS&#_@GDcXRe`3UT+fZjfcrv1?TLiM>q=l#eo?yNaX%^`!dh4;)O`?|VIdgC(wg9yGHG(i7R`wjE)3t$bWM@ZIC7_o3-Xw=g6~Thh78F##Dqr!Q2iB=1!X~%iyg$J^ zXT@Rfu;L)x$4?>T_`#QqCRUb%U)5WG6x5us{?NdT+JJUgf^{YYJiLwh9fAYhnygSc z3PU?};7SVST5R&d#40Q~#{doB?DPfu5w9Qy8}TaQ))>4(HIrAfK24Ohl*s9fc)WM& z3``oDi%2KukvgDZ;ZlPSxH5U&Wi{*dHn71Y8u^yzrAsZd_h7|Q*pswnq@FFTV;(n% zi9Klqflvb{YavWa7@t*5Y`d0|dbP0rcZ0;Jt81lxlLw7TdDPX6YLX%ft+@ZqdHNkocHsI zl%-ns$7CR`dfbqbBE^=l_HDt`^)!8r0L!gg0L+wx|cC za#^cw^$M`@uduuT$J@aA>uXrWU?z*5L0E<#pEC$6xJ2wJ4AfszXX4J}i>gWji(e!l z2{MZJWMsl5dRLD(H!I3JEG+CyfhOuXKj&|+1RHCi988J~*?F0?aLmFY`U(`TmW~vb zb$Tn>5=+=i#Cv#`>t+KC6AdNmwNOo;%&;pd!<5=-Fq6dNWQ`e??M^99tTq4*B6ke$ z=VAq6ivDa)77`(nBP=1hQ}h=lBaV#2>K%~+S1Dx#4r_HkobGo2n1QFfSH+sr5|r5| zVa^|sHI5k8II3>-3%^;K+az&v+j4@B+ZH0qQf2%}LjY#=C|%8!kcNdq5wBP9ghgS6 zG&CL10-99Mq0|I#S=h)rjeo6p9H~@k#X!hegno!{lkgCNkw!9g9AN*N8Zwg7AZ`%c z0)N0Sg&YW&#YJSQ%B0gC(ST^3HTN-r^H?b@so=J?+A}a+Jqse+FlhxdFIdyv5dUHV zShbO01KTK%;u+1o$DXUmNs0#@TSx@cybZoUvME=V9YLf@gd|5^ZLDkGZoE&!#|ah_ z?`vZ#;YE+oRjk9>r|gx)Kf{?7do;y&q)Pv(Em)(^ zSTMr{X!Gj3RjtQqlJ$!Fd7$pyq_g;AJnQ!>CyPic3h_$Y2;h;lFaejfSjpctK{h0? zgq*-pb;s!mLa@O|lW=X0j7bC&iou>c$D>;l)KLQp_LQkBDXfH23;rc)w7nB5l zi1bW=*Qu_~ivQb8kq;jW@hCMTt;<&yV}wg7gl#P7mn2m|1Z+qA!LU+{FV6JDljQTq zG)IMES=Bg%CzljbKIc^}>}S$|yVz^i=3R(Ge)S1QHG@nF1;Olfn?z1f-E$)$8mh7No$Ww4$gR z#$B-kZ@$KCiNX|mu;Qn90FkQ>wCH7mJvrSN&r}Nre{3SBqF7kAs7M)OAhWUo#Eu2< z=nNMm8aFNi!Ftvoi!%Fjn;<;S)D1pnXUG_4B-q$UgD+N(U?3T8D1t#4@5Vu2vCy8e0FF;} z+7b1J87ok!>^5WGelzbCb*l)OD-{@BD1vqOl7v(HU3o_CtIo%@L=rM%7Rz^*Ly(FW zC-M@{5`u3P9BinZay=Bt`MCPT%rJ||7bfSKUPx7Dh}J2Wq$@{igkzjnwz6T&pp=pA zS3@l`oIJQQjtd2n%M4?z4;$H98w}KQZBZN?jTO3TDx@HT^-h#DhZ=WZS)pZ2s4bKs zGfPP#U~3%lfe<4bVURkbIM3oV8sB ztKYy~Jq6w%q1koBI#6H|o5&5Z#F`=*M07?C0J6GJ0ckr-?9S_iN714vR3LG@ayv;4puK7+6X?WynR*ZJPMEngYJo#z0VbTC$50Ng%_DAFxxR`T5m`4p{vWCf!V2 z=@X7UQB_O!k{d)1RBj}axm&a2I7YAnQ7h_dWh;^|ome8&%>o<5f!anDOO(Xt%PM?1 z>+Z8mm(6cJ1Pt!X`YKUtOQMQMY!AS=28XPtq56?HLY<>KsZ*DQ!Vhjks?Z))b?;F4D3cf+;a*tsUO84P$?38EoQ#S!PgH^_D_T63tbl zg*F2Ze3bTsXs5TT+wF$7hUx=;5(71 zz`UG&rJt=~x%g?|ZT0c~+92-*YW8Gu0Y$p^hKV3*?EN<~nN63_jVFtBk`WR6*SX_hKL?sl58 z?m8azV3Ry%^-tt3pqikO(UyEoVP0D330CN4NyMFL*7av-LomQ(Ks^R@^oXLe{*@#8 zmkm(FTr5w;>7T2i`=w53VKr9$XpuM)z*L`q)~1(XgDUZvQ()`h4~UafDwg82L~_}s z5F97DZ`D%FA6Bik{Ryg7=>!n=a=3x>${u{%)or7A3c@++3Lp*Oj7RN!0l`O6>}QD2 zpgoc*^#pSS&p==m@xH{qpM;eotSUJgrlE}E)rH<2T95{sPJCYv3E%*^z{BKdD@eg{-e{NPLRIpJ|-%e3i8+;t;lw zsMDZe9&1}_ODy+dr3zvko4wp>$D-J}dT6b5K@r5pGzb}8RpzkDV3Y#0!)jS+BAS9_ za4Sp}q2=qUK(N)%sqap)s*>%sHVkbZye2fK!B$mQ;+X@l8oA0?owWjbR<-=8B(uPS z#UAP)H6X8)T!kzdnM>r#RY{|Cm34d*FK>ys&|o8x@Ruvw&tfadvq4r)wP+N0zJ~Y7 z#&+T`LG(+iA{KP1Lfr zh_X^kJpxMaLv1r)Vqs9FsiTaH#@E7}pNm_Rje$7d5Sb=WY}IR3Ne+-HsgTOV&qsA? nwS~xJy{{%4R`hL6wow_GBVxLi3s*cK{_p<*m3+<(o}e25+f_aO literal 0 HcmV?d00001 diff --git a/data_application/88soils/soils_ph_compLasso.RData b/data_application/88soils/soils_ph_compLasso.RData new file mode 100644 index 0000000000000000000000000000000000000000..7bfe2ef6aa5cfa0dde48b7cb86720a497b1a9c13 GIT binary patch literal 9066 zcmaJmdt8#)w#=E+bY{vrXXZ3krp(+pqn@)ZhA-j0f6EEDd{vqcn<>_7dKW^?H|7lxa|DGqi&c7PYZ~u+6ezUc0rQ}KbKPr#yCB>7` z8iR&J2nv*qWSKPO%uo>~Fa_J0A|7p!JiStY)~0$VxVpNw@h48vTT9uO>wQgK7wNvH zv46#nO|+Kv2yhu35s!W|S<<9aGYtuK_2t4z-p!43)_r z+8X5nEMONG=F$*O>uBICUUSdho%CDZ*!7y&;uy+Dfbg%IUP5uVk;}(UhQCO^I3^#D z-oh#`PVV{F@YxFmhIIhIdD<^|u^+9t29SJJ?*RCcl?)c5+rMM}#JDx+#|%m7NH<3B zwk_FN*-A^%(EPY-PpD;qHFQE3u2Xx|5H<`c=rmSn1DJvIIy>R!6m7N6nW->f3Hpc^ zi*YqIBIAowrpk+CLI|vH#O6;+s(gY1Sl<7HbK6rqQO~Q1qg~ZR@bbor9Vby#SO~+m z*#K#%#^Q@Le-DJ4+BvW>b(XU?3V%zlcx!KXG7~+C8fOA;>cMGCtOrWv&MP8To+V+p zjepASPuzC?%Q}`Bwa$vA_4o6LtEv=>EyQ)5lxpROT32d}e_YG|;>H z0Iid0@^sdZs;SUd$;JR-Y$o{T8C+fRu};Xxt89Rie53cf#VYXC>+!5>oyEAs-On`s z4wkFv)j2y+j>C?9E0xq4-=cmcBE07^bpSwksW9Qa@Kpw1CAzYAH*j^iI%f<0HRL@J zT7vkR0OsrJi5TPiYp-EI&(dOy6%Q^VD~Z&YjH+on9a)0>a!ZTN3g2@=HF4c02ZXaV zvlSUKemrPQf@lt%Oc!reWkxM#1&ROYom;c0KcZGG`2EZjKFljT{+^ci8~WGOn`ekA zZQe23);47`$$W%rKbF294qG{lq-5A&2XOMK=C`{`lU+7(n~P-4{*?D(f1{i!y=SwB zJ}gV!6=X)2corIM!a}$scKR%)Jkri*F2`&0%W_yWBvgW@`YV&Y|+&j3$4 zb)L^#Q=H*TI*0zuLmc~eW{__Hf28Fy=qQZ!(p)wE@6mK$D7#W*usPy^i0Nol1_nA? z`}PL>9pUGG(t+DZcdn|Fy=W#|kLNEXN(s6$-|}XbM|FKC&eUm+;m}{j{51e4ac8Ra zuM)8!g~V<}SyQE%;xHgFYm#z!Bsot^$!Q&3&a%kOSdrg`ht08i-6s3{v8C0_dBnn(Ab3`8w~YJ8x_6gv>>9Ec<`I@#yP^*ZlBXLy~!r%Y!P@eQSd zN)w7=GCuYxP`~XYKIB}5s}Ym36mwiPMb)8$P<8ybC3bv9XJsZi*)}{_Q^VKx`SI|{ zo%Lr3nje2xQ=j-VLN<9~Hi598dFQpoYzE=4lXe*!g+6s5|A|6h7#4H^0H;ekjf=YbFGofcyJE+g=GW%CiwzpZtQ3!bH*#USb-1G= zvZ<2>$NpMjoz*E{?-50GeYdwEOQi9mk^)jFjl$ifq`J({K2)&^9|Os@tY%u@fW~ia zpusVYEgy5dQkJ|n4GhY`uAfT6%T z&7)#N7J+(d-t3Z-c{LLBr4VsKJr~i6yirY$C;2gh&J8PeTOr02bygn);ju3?y(`J@ zbesq?hwggOvy7iKNgwneD>e-MSyr{%+x;Uz@(tq_0N~h0L)!92^_|4{*G*7>)4(>G z$nR~YZsSQ+MGn+xkf2kzkq*mpUnZ68&Hu{~k-%!ZJ`2+8Ygr@LtLq1Y0`D3t7Vo2h zs?1=&#Yo3P6)O#m9#7ZZr)HYRhaPBz< zLP{IQUD+Cxk+Or+DSyI7g{qcc`}rdwJVXi$T+h4ARFi)pJ_$+NX7=7|8$${pTV9e( zt*;ZWsm$S>fd$A2LKPu<~eI_Rh)3 z(7&zVvUmO<~ze z3Q>dG4~eZ*T~7{)?MjI{Pi{43U8q_XN#9;2)!^vF8j*Sz7%{Tgr);@>JUe(#Ojiy0 z&w%l2>T>0K=+=SW@Ox$NR{I9hEZ#0kb`q05IGS%F=G%8<=JH@ErGc^#=m2Haw6AZ? zXpoB`lIPq~JJio*j4m8P245MqqP`V1gk(2Tle_6P2~zKg_o)aEo)X^W1X zs&$2j#UXMfM^V3IS+~TzP4@$ucHGjj zu`%k@(kH-)`$8qYDisn~#Eo_+xFvO)BM|@CgJ;Lr={->9ZbbI=e*|`=j$Jr&;KLoA zCyOeQM+~0Mrdnntu}!3V=Exf6F6#(SN}(0zd1Lp+^7qARSJf_C6dwHs8S46K`8`WY zTjbc4j9l8A^jCK#zd%-oagRF)GFLMH-6{SEI7L&s%tDgkZVA^I2!FxeI<1&UA~ed2 z${ou%1o06E>}U0kK`x$=bgERn>kQ1#=ske&>ppas`f;-lc)9;-s&9}}iFtOd%!^%5+@E{THok;#L#orqgzK^5yu)6r}O997+d=3DV z?rSj6JB9IJF3*v563Of|_u1jQKQp8m(z8>equx5@^|!2+?~9^ifz=M=_Y&a(roKT%yd^k)M?3{!ewVeH9!qFR*{EJ)ds|ARV!t$B z$oCPSE)zSIk9Q98bblLmZP5FTCBuA-)jP@qmz&%X^XJK%t`4pvyTc;^$*Zh+4n-dFGS{l5_Nw}*KH_SiFwS~0%p z7RSxLlp2q$91Kd+w*LM0*#P04R^94-xFqL*GY@&`p`A+R5_tJ>wb5^`d|e& z%-`+WC*lC(J1UR*27Nz)n07`QTUMOBdZG9PwNvlyx+wsa;!d6}%CBYyr=SY+siIVC zmYT3Nfh}ALl$|7zHZwr!?0MWtlu5|19L^&ho=hh=a!+Z4tg!?uZtcy0j{tFHt;W9Q zs<%DPJH2KgJN`65))Yd}5@Y=N=kzOE^YZw*Pz zcXg1PEkx<)=3Dj)0}Dqi_F@aa={z2g+R-T=b&i2dYrD=Y1@^Pj`HX>PD)8(}KC781 zsF7;lmbVY}zlSdlYW95S($hyhV9R-7zp2m5ypbL3EKMx%N8U5K`73+!m}pRU6zvu@ z$`nP?25ELGlBs*jAnHQ$B~>u_P4}EkHaOj}ORwJ%Y;^RzZyA;t3+j$BgrmJ6UdH%^ zOJ5RUGo-H&GHBc*bXFv`vCVE78Ug0--H+md&4}Acu@EElyrbUj;ZwhvY zd$y%_Otg!8gwNZeS~*}>`(h(zPm%0_@thGjj@0_m9pL!<64})Va?J#DU4ZJFB5svk zW(0*A+Hr|8dR~6J0oHbrxh`Q~nof5uOPDh7uV$e0?^r#DJ*9OuI?ZXmM%=RrE$rPp zyy2YoOxAcfMX|W8JDqY+Cwr<$5`fn#lhV{#t&@$57x4)sWY;-iKi$(0##?x7bUz)& zwrJUojhnm5%31UlgMt|9K~`5xB*;UBdz9|TiE;vd&3OO}yAx-sXKkn!jN5*~OnKZA z+^G(6L%D)vS2IwVot8P0M6-P9)7h>hR51x}F%xUVT|{Y+5lW;q@YRN1iL7c&=LO!T z!0wkmQQ2=x%Mp!{gHI1Ra#eZun6b>yCCSCq2IXQATMB;8@aEqVB*jlHR<(v8w_Rg1 z9&lbt1P>JqMq9|?D9*;GJ(_d+tXJ`oZLl%k%ru|E8bSlrl@Cl$gyeH^#nOaOH*r)jJF^%?o=i$Wi=9+}koX-y;5m&g;ywgu%Yy zrkxXaZI7+-LY?+7fj3&`PD?haHH|8_+k-I0T(WOrx_dm>TCd#9{wCYcqbW#cd6`OwhF8v9suGC`1{I zo>tyzzni1e)3YLK@s_~JbzWWR8LgqOOgwa-#hBXx3c_&wBqY(Kl$q0uUa9CWMsyoq zMb~l>&D7lFiG}$d;WaUTNWI04G2sm2Zf{KPGyDiW?OsCZHiWU(d39`P@mBI*x(-v@ zQ@@%_x;ME&_)QGy3xSs(6|K3a-Vbr?m0PSOOZ?Wj;CDrvp88ykA+{UcOFPKx>*-+a+K}*Y{E1 zqz@}|bg(+(;V^V?cVb7C=nw^yBY)&C0E2DWZQV9Irya(r2T?xxEQ>iy@Qhr*+Yht1 zfz?ve1|r4Wh!+cu>9{glVcT}QF9#8!#7*q3j`nh&+evQd8G+1hEf1J-cOMXQ8eScm zx@8=Cs$t8qD30t5wkoYRypxw$l#c0V3)(#_J%DU*aJ*a_1K|{ou$(A`K!(dX;WgdY zuIKn)6nNA4Wic3q@|HbkXak=og^I6w@jQSW4?Ng{50VCT+xjGgf^LWoiMlf`b%E$S zI5PCC_@43P3pe;vR_yF2O3POEnqcEkw7gBhB~{RbwN2Wdg;8hon}nd-BAm*-c%f6s z9e(j`k-WdI5!^|VyTKr^tGmr@H-vAV&yM`c z7l{|K_bzv)_l9fNTMH_UVWRzh6A-@e4#EkZH0811c@PN1I1aXYL5ODSjNOZk=*ygZ zOt=$Vo-X$drYJJEjxa7w998o^85FB=jGeQHTUQhHpKE-)vbJI|7Z5!e7e(DQ4{$#i z97UvA8t>A!4U!{u@&YtwmvrM!=AFZc5qWlHqm#4a8*g)2MOyEJng(VOg#(s4#=S6s zL=Cy3?bnmW77y_NQ*L)(r+MomO}fR{(e<++8&)2TO3zQjO7N4ZZ^9w|G{y;1fw@-8 zjVD8;LD$8H0aBiw*qhUc}WAF*6%nINI9 zM|oq216MRXN+#wp1D$Yx)$COyYHtntO9qtJnO&EiCgrLd73c&CK2o^36Vegxxdjqm zGyZ)=;;aY!nm+kiUfUdG0>O!zO6JpYH<6tv`Q;j0pJJ|Wl*3)lC7TS5*A;Ufx%wNX z8+kT~x&(8Q8fP*xzRTLwr~HCNu24tk-b=QOH~rgqkTB7BZ3g|fR*Z)f*EtC6`;?v! zoG~;$F(&E5q1`_lrS8L|rDGxPp$262XU5hAXg-EhE<2f0WM%!zatDm~SMsG=vh`*f zJJz@(I5U8~`=;JjueED*nz3c$b3|EBy(=J9=}UXmMIB8tAzgF_F;E zh;3Zl!QfWNe`w^DX$@N!Leyxd4JIW`#7t$(!(>ZdQ=ig-$rowTQ(?5L7*?K-7f zfCw*b_25~5P1b!8s$X7G%aQFdUAHISTbx#wu4`0XHKh8sq7FixX12#;;-5}4#Jy!r zZ-kGM1p?<_cfO(2pZCU~|5%A0$q75XkFsUjr`(kR`|wxml!e3X!6FK2D884qWjdMDjCLZs zMyZ^LmTBjv%EyeGv4~pR7b&?Nmmq&rV4uM@Q~ULND|4aWC`Z}U@s7SgVdd=)r&((> z#6{#m0y$r1vf%kggl5*3JC0%Ox3Z3S)Hn^xKGVdNNE+x#2`=H=QVY)U!_hf?XHWgN_DC~6(Evw!h_(I3WR8rk)-33}$CQKj^ffl2 zZsuP(qo3JCd0}=8SGob~^dg18!(47}7f`De8ul9PnXVJ)R-q;;XuhXHf9^|8JZKlv z5oF`~DJ$Z!9OS&Aq%*&ypzJ*D+6?L+a_wY=fNwyDys|kYtUGmFm}nTz;GF1an7iu5 zD326=suC&Y+COje>DQk*NR5cBLR#eQCEGtkJf%Ie$9u679&3Gy89suw%E0->DT~-o zl!bGQDD89ckx?Ay$Jtfi#W z)Ju?ru~+MIrE7zm!=!g2V;#q!&q$!j!mC#1O35`2rHC(aa1NG;g3naSoQqkUk{B+8 zv+i-mYxp{iPeo$sq(UjW#Tj0h9cn-5f|(SQe#Wr+WY8)N24OYtqSz6E2LM(X-`r%ZZr!NPYC z!yWxBq){FlG|R+f^*YiKin6X*CJaGgN((%a{{=A&lS3c|DLjmYH~q>rO}miTT~vx) z0_wM$^;8@TBfF)?NOE#hr6gH)z^V8Q!3*s?6#04v>h>lQF;GLjButp2DmPgQm<0{g zODz1HG0IFJ)pr0V<CY4rc)TdAzcjArDK#tvW4wyy^#sD(5Fg(81NTwB;yggYcTX8#=cBmDj1Tc_~%QF#Yy5JxG>%5{lV~SL*Wg95xALHCo;z z&>+SUTtWg$^{|aI%*6>N+fTDqKD0E0DT+le!ef)hX?C zY+e${^Ma`fU4?)E_Z#xKC>mQSq%IC&Cglzo)i_#5%y><4hA!qB)of*-HRfzVjZ&D4 zQO0^(E1rI5khIBOq)i~T5Q9!_G|kJ@nF_sOp}?TxjtP3XLK(DxDw0}qOiZLMBp0F{ zGwJ`W)bTY7i6Nc~b!Z(${m`L{IzPNlPc@B<=0cSqk`!xdu%sA&e5}_i12Bs}NzFXrXjQFW?~lyC7yC~UIr;y@gAj$|@= znUsiang66B84JAxRg?|eWYA-j)vV{%#W2jQ(WK46Qze1sbS9a`!(ezWh~e#OLs401 z;^qV|zQ@12vu$^4%6spQ(~N06X6DW`X6Q6!mZomaH10xWVIm$BDz`Nur2Ls6 zursZ>Q>k|*fksoN95jL>njRQ5V9HGwHA-+uP}iT6Kx z|IMsNzu$G>Pols7<3D!%*G^VXx|(bT#CV6&O`=N82ET{95S&O0EA>9mOe`7!dT||&(cgw<&;{_!xgv&A zABLYfdfpTc7K+pf!O`SdUVoAGPFCpT_R z+Tq#DZB_m z6}P8V;H+Nc)aEBh;DJ0zq8SDROtBd-a{;NoGt=%UTtmvNk0KaVBr%G}O^T)+WthJj zSp1(ukdx=W_~KThlD$1RRnl%EQUmc5C_bENtH#-WXe~91>qwT1p!82970p6j1M2Tj znZf&(yo`ufAt>`ge@b*c>DjXWANY_HcRrf>@M2@UGtYmxs8RNrB}CfH9BY#-TPHsP zys3rTJ z-{K8zz#1!y6@w=22=YRV2e?~MS?bM9by@mhmi5A?_t?=JQ(i5;Jh#Vv2^?h-(K+$= zw)|oHMBA)k!{8@5D8Ut6g+LVOUEq`&Kde?~@8vD2S5m}X<6Aar-a4x^H*O=_T)+7C z9iy-wxjq;PL=W5 z@-lX7O0j0V*%vZ=oSNAH6Rl`MX}nS0N|ss+T5-!KsVjrhfn#ql zjhVm1nKx>py0%znE_^C^XqAn2$YLgDT819jA3i%%3s+3zD*hMew4T})#yjkwl`Jm# z=fJafGN{2eS&YG2*D=5d60Fj<;V6`%>m#)z2LB?Af3-OF_Gq}bY<95bsxW6;{he%e zew6fRUx+u_A)IXk+>IjJV@E_9O1HmA1=v~mu|5*!;iAwqY}xAZ;Jm$;b9zka;LYP| zain&a-29^5NQrJ=71fvmD9F-fP-i|IcinuO;$KT`s|@oX-;K)(-_xn;*$^qtJZ_%A z$n~KQU$$_lT_geQ#h#?~kK=SQY;JdL??Ps0L`v%)=;^fs@qpdJ93TznN8#<=yu3*R z8)|HT1J(!YP}DYgiC&gKe3An~4T^yc_+i+R$I^$!qy3a9>Z8(}@{7=h=8pPkziy|H%S+2p5y#&N0Z6bkw_1h|Xi9D)Pl z)!f>F9rdO`vXlL9#hKI2={SbC!?aqyhxe18NuH!KU47CjN=WI=)n5+x$|6MgWbDbB z2B2$q8lbPV2e1P}t0ZbFAw~5=S@fi?swytn3kP;4nyBC&RkvAxxwP5mp9&za?k-aC zoF{9zWti^x@yDqE&m9-Hd^Iwy{Z>VKrQ{;)I62a=<&>>j&Qtfnecv|M4}8QZQj=CC zYs5=m4?OE?z_~91{w0d>gLXEb7|LS~=lLJ!^?$KV*oIbTq2f8< zOsFYWw)0Fm>p=U~HR9^MvM)*g9BFmR>`9wX2K#nov+da%o0^T4}h+LD8MMar?%Y3uyo@& zfQ??@%nbVBZukP)fg)}OUFg0n!UA$sz_p6n?eqcX6&Ud*2CR2-h`g#`U@* z2zo1KImZ}31*D_={gI8cbjRvle3yX^4&@XCPZg`byJGSgO=EY|1m{-RE3WDO@f+yn zJLy6%x~26=n&^ad#{BI18>j@i>$%IJc+upCo@rxe8n^j3IH}n1w$ZQmODEA@X2FT_5R39T7qw*;X>j zwNsXNc!DBJ?1x%-t`eH71lh#RRIP@pO+Y>oe{yua_tkmFxvOpZ^W$-5#UyrbOy(CN zH~EfrbRw=}Da#jp)i3gy4UEG0bgJD5%~8=QSZZn|ec59gqQ>A21M5)4&zvqpN;vBn zrA2;lw(qDrrTOQJep@hwp`(AFFCkaF*^eR0Ph;;MTG zNptssz0<0kKQPI3y_>VWX2R9RZu@#EdQc4=Q60HlDOwdM+y` z{H7s$SB=u6R`S)GE~IcDn(U=cOQr5hjeKH%Z2xtA;ky@7(>6*Ql3%TU%eoH)I$a_D zX3tYBCohgIPg-3i@H!hB(vD%JcXuBF>5vUnNdvoACECry}*K@3r|);7bDr=t7DrXw}2>C!-2-8O_HCbpuH4LnAVRa z2Zdh!w^B)?QNK((>2#^eS!d8^p)LAZ4d9JIu7DjU;_NrFnS<{zW-8+WP5$XQ*F6XCk;y#{s66NFtKYqSZ>FPJFLSLES27?ViImr}aBbsk-?}ciG@- z6tfkZRgGwhFllIk@4tbeQ_`f!q#LO(OG%nbgB(c=S zwwR}?C3Z62PjfJceVzI*VmWxQTEZ~{V1YC|VGR73*f{=~Rb{58 zycpG#KIs9{5m~XveHEU$TOLxptTU62GFUg($5m{MtCqAZ=mL`Z&&1WjUkt_1UamKV zWMe?X0>oMQh`jPGo!<3+EpTz7q(6XLOB8h6L%q0fefV1i8y49dF-m{B`_nXxCbDs; zvbe9byW&QHbEd750LtMCg620;{-O_;_A^ownknxfK{kV> zc+)9T6g1xf&wgzRq9FZE6Rc3o6xe+K9ez}1dr+r5t5<)lT=~a% z=%=YY51<#*<1=HI)t&eoVN#%&`tT|I05~s$o-$*_D^cxvfTkiF2?>fh%!;X+v)?cpSOOvh5s+Y$*1+uaz3UPy2Ru~PE14fI{Z zcp|7lFzIm&N@;)NJ;`FvZjA9gil525<*KGZq~C+{e+Es>{!pG|I)u01e2X!Y^m&}} z0Y#b1w@Y3fi-L!;siwR5QRVj@hO>o}VSW{o)3&>|ZXcn?F}})HMb|fV8JwUo1!JW` zF@wMQo}`^Py|0s2E704)4X>xftshPID95{sE1}K|!q>}lBc1zrVZa3plT!E%crU?` zE~@CpNvT>69{w8AZ?M~Sz$9kxfyXh01tGg4c-H1SM#+y;rqz4nO4SJ?TAin(b3N97 z&{nn8Qx%KK(u^2h(zf*65%9m7a8DA$y@rh&n_oT*-NhphOMf^0#nRY1a2fd({r3&a zhl^O0;$+Zr!M=PiI|K~pfb;eOr?p+3-5aIH&rKj+Nwa0lprRg3D0ZNFKaG&d3SS`d zChJ&S+TS|KXDB}GF(9qiv;ceKYQQ;EXUF4dLSW#ku?KRpm4Z7}5CE#Htuq(w^ z<7wF8;Zpr~QzeHFSH1}kR#KJbb&{cc;V;cG|5KSK=Oyv$?YN~CpyaHxBH8Y(6FzCa zS5!VVdyCupBc20Jpd_-wb=0TjnkDE{r-Unr^iSx@BqtnIA}GJo;h9yXzn)Qee|fA9 z@e2+DbkvXrtprV7yqJGC1v9#m!WwuC2v5c__;DShnPA`}W`@(1#i*8`8=MEz>G@`6 zO=AD_c(sSpA*~~=Zr|X^Nr|@X_{e;y&iS3s)9nGgWSm!9x2dTqG_^7-%ZN=cp_iPZ zdGE+rDjvIaSd+JMi?cGj)qXG@U{(_jS8iA1oZL}4J_L<5nME@_6=5`5^FpQ04&L*u zeha(i+~VC{=s?2K<;dRpgg-79O|U`h1T>V5amqifr!0?QR839c@iNec0>=!Qe?LsV zo2IrP&+R=~ynwE(#xHMbgxgB>5pk{)k)-s@K|{$R4EO&hbvYXoMg(Vl-u61|UxYcn z;JEL3UK;Z|PO1JIXdVCq9a%FaIF1zU(L&Bnnlx|QCiwZ*r0MPo6jRMLmv^S$k|S?| z$y>QccGXbvMh5v~G`YsiXC!Q*y6iY#E;?K$TK$(PcoB450#DWn@MlsJxJS&!iDz9` zM7|JEkwkSXMP{f;4nEuo*5U0Z9E&@+4MHchBzU1B$A#el`k;Mr3Xwz3id!Ua#hcgd zg}GGHuqy}ThILNft+&$^t{eSq$#gnKnG=P#YQ`%v#Fp(Fs7vEhY^8f2DLE{dHBY+a<(lq|lGSd>1B!ybG+|KDJ`BRHNkc;SE|e!-{t%a{uJF75JE34&{R`tp zuE5L+o!jHfDB`dZ?3sw;YfsU)7L~U`LpepOs~_Kgc%d&XExJDVJ(pdOjq16i}z1F;d+YV|)LBvKYx*lZ2ofSsc(|*Em<|o44n^s8a!XOb0tX10j z6B3a=NTfgR{93e zX9e8ZR2O|DUT^;~zD~jZ7v!gjt7V1|^E+#d@gJTZ)hBvXesb94`WXl*g|8N`*W#9D z4QvgFn{J-gGQt6sUw4}HmH;}~p!8GISZ6bYs-h{kt4)aX2= z9I|hEYK1t43tY0jXy1H`&-km-dVQ@lLzB|gp3uqV*j7M;6k|-GbP#b0a6rIUkmvv_q1LTEmJ{P0d>Y4g&9$U zb7K@gM5+W07Xi!8O^QHnPhlroeZc4*&hQ^3hpv0-1FydAKI^H)tUPgUN zZJ*ugNfm!QqUQR#;>kSOR^HvriB7r5+n}^|eXZ<$f}b71hZ=wiab6mdsc{=1@9u!I zQGLedQ9d=oU%41vqk_a092tf|kvj9RxoOK}^YjVl&viME4kvk(kgNZ=D$Al$%$&0Y z{x?p(om+^t-%rcj7o%J>#@%a;*_eUuZ6yQ7Qr?3*tveIL<4Y5HX^af1rTg#Z^2sk^ z(~CqNs&~JP(y(oVJ;1+P3ZM(6?Bilr?mA+E8FvUGwzp!Jces#w=DWa%Rw7ri9hz8u zXPMbJB;{A!uF3QMki`62%Q5~_FCTdJGE(8opfz6ZCp3kT)bB`P=Z$?is=IeXxz7;u z|3=Bo0#2K?9Q!ac9$upIhdQ{*E^d&r4FI+9^Y4pR&07Wuf7H`^~mos5U?rq^oW z*$r{$*TQ}mU~3#z=WzP7A5UmB30WIZ-L932+sz#Nwh>H7@eo( z5%gNmHge5hY%SD@Qo7?PMnyTTrCCsUM0VHvYx#FHkZ<~U`caxc+p!c6){3fERHPc@ zZYd&smmn#SS}OKn9%#l?W67ikm)Q$5KkWvFT~PP#ba;py1qXgmOL(^ucI>ChpWyvL{BU*@2p^`SGB!#)o5X=!vJ*29mCn5A^2tZZ zMJpr|%oqk9?8RV?67LbpQ9-`Ex7(6fHXq z?s42CV`|o9ITjbXZ<_xb{`sQ*NMVtR>Mg`fR61Se^++Iz{e`-3e?m~@DK8VB$wz_9 zut_4Og#Dje~+f%q42SFuw@))(??11hGR$XptK`e--XVaaaUSW z=l>)L6wV2sDq96U|D5tvO7S$q=M!OLT++0GkQ@T9QmJ;@zYI&d$-e*XFMgf1S8dDp z<;SBGPW}>gdy5`xi^SS1i#b2nBzo_;`*ODhaV67JA)cREG+&-d*i5Y(#?KT;KTceb zucNxgFkwWE9*q*d=n{HmN46#f4GbdHKR`N)G1;M@{E|rz;=E^t;n$Pux2D$m%7LcP zj!Oo&6H(-mxRl>;#8}fPGt`$T*;7`_m!)vO~=^dVTtW0#a<4rU*QVbu3s`4 zx|7)81N+$6PFx8ke#4XICh~&WI+svt(dF%}T&T?Qe%BP%c_=n+*0R9I0s}ZLjQG~s zGglB5AbGVTQmAh>oZ+gCm4bTMa<)Ysc_DT3bI=RP%S+LINuuJeEC!OLw;|^Vg&(KU z=<-j~X6NkKf3Ws*Of(kEh zDPy~%LE!-IkUC}s)U9#o+LhgOVv7LgH6Y>IGL z9|~@(F8)v;zx&3-5veC6UkNJj+Y8N;SHd40QbS6bbf#05KZ!))o6_iqF6yrhJUb`3 z2tEG`1v$0v0T2I6c0|5u<-gN&w#6641FmbL^GBEm(f)(QebCH*VwHSfaZwsLXq|E= zWJ@8h{1P09ubatlI%4yH|9)2znQ)eNZ+o4fH7e)cE@j@Ky0#<1)XMzfhf_b!zw!v3 z9j%&BYcujv3A^EB;+zu<9#I5~Y-X&>qo}A8eVm%E`*tgTh^Bmc5#Exdv`;`Ml>1(L z9caEEKiA_*F8Z(qyl)q7zn3Qe8gLjeVRRkfz9IAi2jiF(XhL@qfx8K?RpAH2Q!A36 zhlQ(;peGUw`DZk_m?3ohMNu&;3XDJvXsD7etF*ZJ3YX>Q0lb|iw%n;x!bGS02f(&> zOD)$2J*dsrxjXj42hqx5AcZ)y^`GVaf42LG!x8D56uwDZuyQ__*Vwd{Vlg+Vr>ZF| z>$yEcZBX8|6f(r?z=BkvDXtE%uj-tV)u$yKsY80bDHC0F5*@6hc`30xpA@4l6&k>| zC?k3(fEBF_E;%EqwlzdiLWZF0{Y*zp*3A37!M%?UbIt~DYl8Te=!JW8py47r4}EkZBi@D{2Sy{Pz>t=MJq z9nOo+4#;;pwzoAMu#z_;gY)=>)cN%a-vfge_NnC6rHG~|MGB0=+&FBwl_Axi-y2zK z@s4}-p<;AZ8DfUTX_yK9ROqM}m5UH5XG&ho;|4SIqTH21M$GJkfvT7ykQ{bs~_Er*GehIQq7{`#%9sV*h1=RZAzzh#i zC#X_~oX2U)k))bDIBBeI>Dnw?;2UjHmls#(*#cC{PPqxIzrw9>9u7^~_aS4XUDi?( zFOe@BN|4@z^dzAUzf9~57tqfn3SRgs+e58>)079>#*I$WtKmLXbmkZIlD|18#nJaF zFZdVMFT~(imT|UZ-c4CvzpUjh#3`C{;(btL+Te+YTU3>+ z$+SPggBrYL6*+n4>HhG*j-QO-N3R&?C0{EgnvF=?x40t$vJAlv+)(H7D0ubVi;-#Y z7mf=qxT0L_04UXugDmm#%@efr*>TqI6>9#LO2|sJhZ?#)R47dFfmSVezbVGh9no7) zC)@iCHurORH_i!Ldq8I<<^Rh%lGxby8sjuC{tc}(2yI7L>g+sR5u0MCirC|f7=SvR zcUcMce}%Z@HRAL2?@5*>QtpvroF^!Or+MDEq@d7gnQd+!)p_{7n%SX*Ec;2@^7xW| z2zj|hwiI}OoVTyMufF_*k~1+R<*A53x}dpOdM=#tT^X~xq4ACfyxL$gDCG=+IAM=_ z4ZSi$d)*$61Fe}5{qbSCD3unAf~{XGmI$%lZSo)%92WZX!7>=bafA%b(ap_HysP0q zORY~7?5}pDVV;VtKEy|+%lDP)dko%8O97>?)OeoaLuxP~KP&t-_;_*Gg)m_gQ{;pk ze-+LH3icO>aHtouRRCMBu>GLIre=;57NuUbByj}__GDhVP3PpZlk}WDi2{)gxwPkF zOr-kCE@;p1#BLj~^xec#ay0Q$LrQHMXLXNcz0{oCwb1b0mGSeV_~&2AzXD+`ei({e zU7g;2Z+h-0JCvZ4rOWE+30$(sL%Bc1{sD3uw;z@^az5Pz&CiLdG03IdS(b+P38AX) zBsJbv%^Td`ID{06Q!DMf9{0X}_XTuJMq@KQHjF90@p!7bJ;a)GmUhDoGBfW*drFe( zEIQp}SUxCnMsL(GmdkCfp}8OB?`w6VdQ2MiW)jNH=mxRZJf986q_8O$zQg|(FGJ{3lOtsO4 zW65FM8Cu8VhdAYry)EsDvb$T3Jj`Pfw*;S{}uY?aC?jAoI-tgicJEJeAi4C`Qks!OmHM%y^mO&g$rZ@3KLAz zvv*bow$tAswWmSLRF@)P{@WKjJxmRT7e}~-iuBr zl5EWGj1<0r6;5!14D&Lu1&(U)YJmm`Pg~y^Ff9E9F#e40C2gfx$duIB8l3$&It3>9 z3fxyk?iz)+{iwe`FC|kH;HlKQBU}b&d$7B@ed(Jk3O6Y1df$_q%lT~O{iMe=k^Nu9 z`Ts6*&YnX1vu$PA#V2?2lnqAVnbXqies+<60#{YCJ&bebi)Y%(Sh=4`mup>BRmEwb zsX^=?}0yexCM7Ogk=HI%cc>&8IEE7WTb78*ilOFyV3PgKSLeuY{6z} zPotpQiOiv-mTo5x#-f=&PyJt57B1*S{HhZOjo}H#@QzASSG{S~u>rR0lR3W=R|6Jm zti*em>8T`&GwrV!lS%i2@-IzR$Bwg59=3bJRg6yUwK(uNqvgA`tZTH@P6dXTF7yzxZr7Yh|w_6Vo%th7WkOx zFyJ_!GbGqI(V*Pj?t7|H37QtBR(Pj6)7c1HQ(3CXh=+MZxXD8?#$p~m?0qm*J__t@ zzqL~Rl$c6*reBAO?ImS&gp_YfWq7r8V*N6l0NF_O(qincl znvJ7tie51g6oL7fy-M3>>Uvv--*W$W%Ghz%i9@6oOsN;UxPw<*tSIs34P`j0KYOvX z*VW%$ty#UDtyWa$YVbqfTmkw0NMOf{o4v*N8KY#$+W4Bt^qvCZO9-W_Pw09c@p2@M zwn1p|2-%&`?4p8gM)XIpn3j@lKd&>cZnIQMTIfZM3j*wuo=-^_j~!9^ajY&L8)r22 z>N@dJSr(Z{D_kb~*sJ-)Rp2cbV!!&QR;<3?4vrsAZBPoD&F{4H#K%>5{YAhvIecLg zQn*ACq)GOG>#`y=3fR!dIrJrF*Eb{mNXc?Swm?z6eL_9UD_roDdW&jcZ^O+*4!BIO zQSwqYL9^E5K84ykyE9R3T4?}m?%hWulmBJCwMzhL_>umztIT3XDaRaDV)ZB-U9j(1 z^7Odtl#m0S)*Ck?lnH4TAu}!wyp54|z)Qo23&EvaeY)i5rw}X#N>*`9axuGrlkg!j zCbbH;Rbd--cogpE$JwQh@q&+On*7V--uZ*<+tVT9m!7tc0$S?#E0uWHI;#5vF{2vI z#86jm2~xIbOmowBrpKNU-T>!6g6I1?Gv9ofzeQGW@)y$stkE^iBjkDnn%BWsxsq^=yq_K11d$~`7M!a*OTytmuNd?wX?FHb98a`iz*j&C!y<6hCV$vK$b6k1b zT~9oh#)D#cMO=`L*0rvc?GEejG#COCTN+BAyuRE1mCbqtuxeiis4sj>j7BarH4mHL znH@Ba1eGiP*h7aCn!Shd8mCUkry&q->7Z-XtusbxXg<6-r=_VsPj_`XhC^S z)suA`=D`HS{|icw4To|ujY>?*X{GX`{LBRp)(#yHqif*6??#=B% z0e|I)Zrt5XdHN@yz)@aCCorqs<7vYA=hR2npmFNMu)+72SVC?DrhsbsW4CK*8D%+(xDj-4bcDWLsbeakYQNun_eve2LAcn3lx}eLn5gr?&rzV+|bIqXTNLk&pyea+V!49-OE*&R$#t3JxqeX@ zLiH@iU=sqY;=U|35kREF(8yM~a&ReANRGl<)5XgeaX>Qsf#T)C&f?Vik|$bF4=fef zR%VB|c+0Qd9(W518qQ6bo^n-E7_hYie&wr5#u)qgDl(8Rm$4s%PP{!sRJF}jNiA8K zVjwb3&l`~K78HZ~N>3h4C)g2TpNmXls}bSIY6r&FOP=TMZ{4*KMC9X;dP1B4l>EpWYm%XX+ua=PRH1>_vN5sihm=BY}pJ%H=m{v$k!Q&j!< za8goOahv9BZpw6?nMlK*D9l^t!HQm!Vh;K@X81O@>MR(#+n9b85YOtI-u9^@;a?frq5-VRNV0DV+T;pyt$ zyJpu{B(G^5#jnM(k~S%axy0|x)HYd=LR&dix$cSa&h&ItI>I0IcTu$RrX%#1;1oRn z4)y5>V6;;FNg7qpT)3x6+P2}Ia`_i5%e9+B;9g;fHL#7?lZ9|a3<5UcdNX;>pQljD ztJ-sd1KZ&G{)C$Gk_jB=;nY%sD-Ic1*O4Yj{MMjPnq4)$xaS_*|4(^yf%bY7`PAvu z&X(dhb$hm-U#`YF_WU3s#F0da5`R#SkyohVJrOVK!q95|a5`z7(D4p>5IrLL>wRJOUAna2&)GlKk0cF&|m}>KOr`6m8^UgS3SQ54)%h}nKu*3 z_?bh|_6J7$`LoJ2xSo#)XYOdF&53`$m#TTRH@e>Tvn!(a3xu<#pO<8vqy;C}xdD`t z+n>aaK`zN({Jth}1hHY6kV3Y;*vx838@5FWz{XC2Kr89+95)#f-@=rM! zMbjIV4-6OXtf4Nu4CjyI0}SZIYou%k3e>m^_8Iuar{XipdSHJi>nBWDHoj5$v>aUQ zDJMwj_CVdu%Ft(5Z8Zh%8zOhhlylHD9Av+l<=xDrBlNGAe;}S*YTWAb>#7myKkOW@ z`0k3rQS>lPCKFWCR^G4V9iXbG;1{pnlGJT(D7bzJu2{w2{*W$lP2&hIPVd6jEK8F8 z)%oeS@v8`K(BqT}lhDCVod=;wy}uyv0FW*{y)|lBs$*uU?KBgBMEn)E^O&@S(jx!M zynY+tevrqsO_i0{d&*QI50Y(S3X4No-XV16I-zSo;gmNai8fN6cJ-okcREB!vo;c= zrAiUL;u*>DUaTZFjVLd*2PpP6kk2|^RYH?M?8huKhLwv#2`zo1GashUcGlwcpwP?h zL_9K4OICiLq>xwkj%#4VdHr7b%J%aBY%EV$b^#SNdHq%cqL~m1Mocp!ox!%2amE0S zfI_{;n9)Bwr_1Oxm!p}V$EJMIiIU5z6ZryNX|bx*ESPH;Jxq^>JJ-flK;ywD1|Pjn z@RnrxDNu}n1^3B$F6?u8_^y2W1 zVT}%feF68c<7Xab(E9%jdYJpsN+D!EYx7f|I{9z`Jy?QPkK-MQ8#QnL;;)uPGR=AE z`(vw;lgJtQjqc5LLi!r2HbWS=s4TGUYohAEYg)ji&7SJKXQr^BZx@dDKZ9Kj3OB+G zZV$$D>m!5ra<<2yL@N{}IqEfOv;70Twg<0*mSZ=>RV)tHHjd6Me!=E9tGSCi z+^vzp4_raK%l+1@&zfb{j;ME0jDPJ2u@){ova~g}?n@E?Gwr>st$ZzLybp4vmHh;< ztF1gekEtZbv1;3X57adrPgB-4BNj4->KO)nit^spO-RAVo5C};5Qo)!Hc|ar$<1;l zg1SzvV3g_{-4?ZC89=g?CbnrCSv;fBhz7>eC97JZAIY-FbHThYGEqy_QVUArkmn*| zuLox%a-|HShd8ozW9Ib}v3TBm><7yOk>-bV5FA1yBz8HF1 z>gqx4sv6cmq_fSv?MfdSyI0+R_(=(TH zBk**@eFJpSTS1_Tjfp!>+_l$|c9S7boJ}do(jI!5D@`A7zI0etbn?T!j#N zaf%uoS}f}=mcrik2yt3Tm@qRDE58``vW8Br24*zf^p&^CxXV(*`OicF7*3ZwS zS=RwIekkj*05URdt6d*O#Jk9n5zkcBExD_$!Uy|_jxtY_;N^vAcyK>`MvcBb<^x}Jxz5zOsAL_kKnmZ}2_%HrU z>s64eS^V3Dl=OFD7n{1o7MEcy)|nFm0`-PJbo)~?x`umxVKGOxv+`xRK9s7e)Ryt(X0rXa6XP_F;kh$(2%WV2!269nBtS+6Wo^{e06egvAj+8^NH zKQ*)(QY3~VBo_8v?~6a=`qPn?T20`H!ai|ah2bV7354edu*2y{A6-<`KT7lLNV6_o zYj);6c0G}es=3i84+@CMqoq&C>%^gdOr0+j20PlxjMmuH%v_sXXjMR(s^Vm zmQ8*kEg2jylaUq_B?p|#hisu=`t$f#;NbV35Q5&T%a0N18`ScT5RE-XdyNtru%l7Dn(@lNzjt~vT6Qp@EdzlepB(b;A`O^u*(TX?YBNAE#=?i zPM~2^Tty4i%`N$%%e6$?069L%GE*HLW&Q=(GgtqH3n`r!cT}A}q`tn{xyKb0+A6==on~mxx0u zDvbnOhMs@JXm0pDyqdcnkzd()`JxqxP9B*S&HA1f>Mole9qG_9v1)2+2pR9|WcUbT zTthZNTu2T4&;?h|Ur4@}X8b;fWrzYE7Ssn-75;ec3{mqLp{HPCNS&Rge2QY3Hvj6Y zdg=r`Vgy*f4A~!IQV=$!JK=(w`i8W!wjjCs-l5Mr^GGS|bF|cPL)x4AHsh({^jttK z^cRAwGEv1>LPp>%Ou;Xva-om1OapVd<3_T%JLorwl5X?N7V5i%h)V4+zg35}_e8V>- zPcns17-=6nGLV37-meJWAKLdf);`%+`YQ#QuR;q*<CTugU2>OhV{UTj?49Ym$McY`QCEtr!y)?zTPaTk z9c+0yXZUz;y}x9BJ)(=i20gx_9@BA$ zrMo1HiAnWmitZh;FW%#s(h`+Ij`TDV4@6L*N^1CGIiVr*@nN~!i67J=>CI13>BJg+ z58?{;L>s@9+Uq}j6`DD>2lvW*^G(<-Ceq~NmTut4YuhmSV0`uVxV?`1tpmyLRz*YzbiYc?ENoimrB!?!kBkvClLC zBv6NUDuQ&h_YNY&g=R+Hi_ubrEtjqleLSK8mQRU&anljN%^a1dUbuvzAqzY2Tr3a4 zUqOtn2U^_Tr_U}VN$kzSE?G6CBYnzSKtfTI^h3F{4(H~>J}=<-hMKh5UmQzuHN!Il zL;I*T4Z<#5y{KYIXtSzvjKyi(2E*h~9~W7(JfOQftgYd?UVqlSQ=;mV4^b^*P9uhc zUTGJk{9(mlj;`;x*%;iGq=v@&Rf@M67ACECY11BfzwN?NyCZ2rC0{{ux{t8I^#wCK z^_-nhv~V~D=_b^OO-8C#2GC^Eg}D9@Qk8s$FuvB=Yr`2uy-Nv=O&(CX7CcJ52ZC1J z7Yl*JL?zBSauBVch)bHk-<0+mzLY1wEN9<+P>Z|~NXn8rYsf*899Mpw+{IF?j7Iwomjx+Fg|5S`L7Y= z?Kfr0icV!I_~Q(YaTf_YegaZ*XSRMWT0My>Y-r;K&pVvVi*^xfpvnAza)S-BJ`$Nb zLetwA-$@aY5-viZw;=JkX<0I`eycx9Qw!kX<}F7oU?#2r#rvP zv-k6bA4f(C=YEVu^DU!ErNcYrc?H#v^VecVdK8u>gF5E*ku6NHL|@cj9OzD~o=S~j zx=PP(Ksn>M6Rw; zJC$432;o#mQM=5+n8Luus=q4INi^)syBR52JH~*s;fr=(p1#3Hwya z7yx`#R5jK)^BTXqKUE^m^Yt5h~Ngj16DR z4t|eEu1dsY*t_7&c9pp~)a|O)59V?HP3qz=EeLNwT}a=9-K+mX>N2c1<1POp%}IB; zZ*g7>Zq~&Y+J8hytn+9VbIy-_L?uUmc#;*}c(=iG3BUMZ=@>PY z_*th~dVC+!1<&OLDOY(1V#9NjW-Px@WWInTw&sLXGcsBoRX^exAlxt>S{2$xS?cmW z{E~f*@@X5!s?I?U_-kT*%Q2($S7ZZep}yljCftRrRqdE4rj9Hqb_wty1CFsWRl>dN z>8um7|20*HeLAea;~Xz(jr14CQ@mTT4>!|J??ZIEEAV&4%aQcSC}M)34FN5h&+TbH z0j^4*6RegVTxP6JMn(Rw>I->9)Fh+&yX@Y2X&z;5KDD}789uA5R(|igkk?eNd6f1p zem+X6mvR|pdrV(Kp`GPhWOMTF%i!=u@I^g-3E3SL!xbucaSybN^anF6>M}N=tJrBI zs;@^0Qrv80>DuY}hzu=o6t3)T0!78Y$3yp&b;R1XHJG}7k^et1nnw*RfjvF9$uyZv zymK$hEKbb)KX3WK%;ya^MSsc}d5{e>HNYj$$IIY&r=f&ot9o=N_4Y0`gd}i^ zoOD3}@|UEKKxEnmc&M;kN%ZBTCDWN8SN)cRJKQH2_-3sqGdX(4JwbBx41pM5QC0Gf z;giVilGEt!(Ico)S9u8er@|*UWX;4P>%tOC_>rr?I@r+L6ajzR!Q*M05DGo;nXMYj zGT*szvXAQh69qw}JGrmgbqj*^~ z5juk|R?(+a z=KY{iI1%FGExGFp9P=}hc+4Xj)!3lNAPW;FKh@#O9N`ymP{W0t)meS1SPj3?S4`xAkHWRvgk?i`31L5gXNAIZsQQCRQ=`gB9JUwjvoJ#Vn5tJ5 zmHYl!8hjrbyD|;#mMoh4gLe>M2+^SxFYf!lo{71T{{L`w-eFCjd)RMF)l&!b)GDn4 zIn`PjLh3+vQneNfDhM)6B#6|55+Sl7^Qc9tR;bEQ5h7wlAR(ZH7$Av4B??NI2_}$; zi~u2okv-pszVBb}bvZ7*6!II-_}<_9{ybnPMSjQ(;W?bAjW8q2`|2a%j4|N05@KPD zjm##Mk^MK+{U925TB)h+8xrfH-H2JqzBpxpOQYrhatVX{HUv%KX2PoRv^oe90t~fC zKdWG(^t#CSlKL>pLgS->5Rd*=Q0~>_!N-x($6pw$D-#Bqb4I2fC z%079er!gBN&*Lrle;X{XWa=_`w;QwzakTr9<3FR-eXEm&INv4&l>NrXw)9B=sWAWc z9V4gUdR4nzmXb~I*8I-0&{;&__j%Yyyjv{~bthIm<`xHhuQjvG|M4PMe=}AYY0j_k zVs+G@&fS3Ub~S3^2ZFNZ49C{MlF!GTXWwluKUyRfptO^nzp@s8c7bQO_@vD|rH=7%ZRd&mgA?_y6-`H6dU&zv8k=3E(I;YNx)P&H+={4|i$cFJS+gK}PeVd$U> zsl89Dy&{oQ_F4rBMs+%xM<0KvB?{bHB}*SNzt7tWVGrqXd4r3S9kp+Zx{xI#ns-H* ze!z+3qDp3#twyJ&$+65D404RO^HdGTcQE9)ck~i0W*T3%x#XBDiq<%ibj}cNehQult4&RU&Oi6aI~c9Nu#BC&vtUWpySgV7YV3-a=Ya5I^8feXKxqO* z5tJL7HC;DoC%7`06LG4HyYu{ra`y(HwSonQ?vS5yKI#5>nm?_ciKQk%hLHr1T(#k8 zxAdD-MG%WbMoSR}e~q?US=84rD{e{m4VDw;q$P`B2M02ab5WFDF~0v^ET(Gj5Kixy z)WEPXqs;LxTy_x?OtM~0K?!co6A<8n0NoJdOImwSOHrGkbN2=sFI=e}^0NYSq4S2k z#!UZkg+4>RbRNwjCaJz61LL<^E|3blnL>^I4t3z5W>vA~z+>Pl#(9t_@-s=qpsEtN z75y&O1CsAMkCklK?CPE@epYA}Hsd2^S|aOzuogQ-QMyXpAWi$-h>trj;`Y@^ek?wk zZ1xyTm~4{uS-hfbA!A!X(~S!~!p*?4AImSye#??yjTa9g{g_WL7u~WC>dK9mx*v28 z*c!#{WWa@2BFv0P;37MYn>6g4eC(&uvZmdSfJF8CSJ>VX>gl=WU7BHZKyghTWtw>@ z!g8OU(Swb7k03lg1-2eCcejZhxdOw@B12k*UZG~BahoG2K6T41X7ntF zVB}cLL|%p!vw4<6Y)TY9Ys;&&)A=Je;#{(-b*iUb`Yt&0_35+-b(Wk`_5K^$HC z&z7}vz*5kMe@h@G`6>Exo=2F5hY4=M;x|G5(HMCU#&q-*uv{RMs%W5f!_?-0#5=D? zgb}aNL`pjLdl?WyVGxi{Z-~*(AZLS_FjY&#k6G5KgyDUq?6^ZUhoEvZ+*r2t-NRVLTz~;JM$Qyt$8vK^xNR8kF zE5E~A2JR6Dh`%gpQCnEc;kp>-5_&brwUnWyrDCVxuANsXdj3RwUCfVOX7EhSbwzAw zF3SWW=SwlyD4FjEmQKP1hPpjXTi_?E`H~Ony}&T_=3d#`X40b!3;UE@-MB2D(8Oq{ zrGRqBtpMZ5E@o!pny&TVDdi(HmnZ;2gQ0PP0K0%y->nsCfO{vN1PoBq%0$YuuLa|G zDa3-E_rM^;#!IXIDn+>%<-?}1=|9Z`4=amU1UkOPkZT2C3)kM+`rX+H@*RVDSW6vz z7QczgK%Rr2fu41b_0ilAm|r(rMxWS#914F3XHA-5N^oq9Bl4V-Rv5n)zzN*nGD;^N zdufQ%`r*~m_-WxHcW}|qBi9q&A*%1-qec}!o^l(*)8{o}d+c?t$W;^8y%RuT1PV3H zaD;9iOvFFjpaOj`plYB0f@X5g&ji`O4919z!F5LG-Gh4rU0 z>VzGVu}?ma)IYsK6WlIJRX>KFsAg8r8{Ty>86&P)F_?EDGiK4^B~RS3jC9S}@R4rH7nlI$?`x$1COl&oGz7RdXzgliO zv9HdWQ&Yw%B%hwffj0+P&QkC4G&g8dm&m0=7r&Fqgpec9BFm5w{qovK2SQIE5_f67 z;`Xm;b<(bY09kIUy`ZCoH|DqFrLlC(QH6y8)5B-MihHc-i8*fPNR_9s&Rdx5FGL|+ z%@n*lt*SbGEeKvT->1xWq#YC2arcx-W~ns2>xA%ZE}*@f-%OJwfZdljUm#4DA*8e$0(^0|6pPJocBV<0PS(het&cgv8cx;Ymg8`({>8EN zY-((zfnLz_AdtKvk-fpI}AP$%SePk`_WL-h#YdA55y1cxF#l1KPyLa|7%&PS>D z^I#v$iAc~&%pr;G6PZ~U^SQc!_Cz1r;^3MfzK}gM4eT%OJJeo54Z*7xGmw6S`MN80+V5py0SHL5DZ4Q+)*1C-O`iKVZYg+AbT4a3!`T0 zx+Vlb!?aWC2Qx36UnBU4WbRE)91N6WfoUC7RJXx|QrtS!LgehVBEMY)yp`Dcy;cN0 zL2i2YDzXdAY5#_i`~<&eu$ngbAKhk$q^%+skk^7&;j*v_rkgQ8gjrp24-N@bGibazT+~(!06x~kG@(NgL8b=hlhLk7~yd^4KO zDas3~KPVc3WHtj?LdWvL%%^6JeFomJv}*BYDN&yC?G`5C@#Ee0Y4WP$KE=Si>npg( zWV!=2uIY+sVgyOhTw#cL#`dv!L;VeghT|BSRu?kF~NGbBoKb>e`@B`~pJ+3aR zU-`}TnfX`S8&(QXfrOL57{LgYn{H83##zRl*t=e|u48O+Y#7?w*0=NoQMSexBzpz7 zZVT=eJbsL(l@*^xPo#J!ZrKKTk6cz{;tBSDS96-af+*NG}f1vc` z*H02yji~<)LT@3vf%og_s_}DE-0GCscq#N9S72n-3q07TFor

    DV;&8-!7s zcC&@<$8-o5KTG#T6NH;s3STdR8`w>JLtQ}MfaJA*m8!VN;Iq$8WKDTOc(>!&Fxrxr zJ<`1-J|-KU>fJZL0A?A4xx-jF_UjOu>rAo7yvo13#?4YH0t^yFMTVKt4YwEQ!4&(A zK;wp4k*458%3lWI|B8Qsnt1ZHK(hU`r&%;rMsk~?IMHU@1#3O8b#z+4CLKK0$;Djk53ygRQwZXND!NuqM>!ca$~ zdWl9Rfi!}4ti%F#X2^2|lqt3oRz_M2G$T;Xe&V)7jo%DDas3QGP2c~|(k+dh_f9OU zO;`s)Wuke*tc~QTZQ$Axo8{)XHiZew(wW+#vThOaFj}!|16zq}xY9RPpN#!OBk2L^nm>U!-$MDWpPiB=Gi6ewhd zW&9heBM^%Bb+8R|iN34FYQ<{6{8>mI5L6-MR)%6>*}iK{@m?Gqd+gp}8U>BOg9pYf zs9OJEE)-yE7GrA(!9{*1kD~5x5MA8-q&DMAP>W?o|IQ$uC?!WuBWq<}3iM)EO(ZbZ zwlJ}-Hz;aY1R1Ec_7v0S;p!HOzGPD9O8pbCX`X7DlPG48WVL56#co1D^0PjePi>BN zjVkJvu0|{j*21_O1-Fck^RH8gcOp|~j|aq6lM@q()#<1ZTI^aIrM?bH;sfr&DW$IUc&Se_BWG8!F`p z5#6(cbuMQeL864sBzw+MoYKaQ$vUd@30@u2;~cQ2d4cdpFnDOzGI2R;0)m6ur%k-; zGcP9$9c=It>SdJT8?-Tw`bg-PsNU^nuE^9=byd`^XABWdg=5v9hBHKS=$D<|jaNWK z;CErW?-Z>ZHzwSK5Rx-kyoL~}Lg+q$c~Vrc)ed?6*#+;W|5X!T4M`Rt{wMWXDeyc|FC*WSd()FiNDS_|?|#cO=(D{Ttfp+KHeF0ltBW9bTQt8&&l|LAKws zwcH`3J@VrlByYvCRNspoZpuGUL-V4?aA{%?cU_Rze=0Y3tR|tSSu7)tH#L+MZ#p~? zKg-?;OYLgd!yZl#S57SM^fXs1j@Ovc3#DQy_0KGTj2ahB$T~;EWt3_>V5q=CLyYtSuKkppm4 z@^>J6;Rxfu|63&2M~>&QG}8j-BxaKn^jVQ*613n08rh@O4r{@>gL~Xp zJ7FF2r520Fr~n(2*M7{FA$(J_S zB*xB-GAYs=T|`d=993<6Fl-aS`jIqjx7cM;ep z&U{el(+B$CtrG1DjPjpg)bdgcrihR{{_T*CNck%SOY=~c1Uft~#BrM@4Xc=!1eRpb zQLkT(HvZz+|D%`fxnz8p!uv6${;6Hd@n(i3wv^tW>@Zo-Z|E?x5B7iBZ~!c&D)X|u zAHOgbwI6dzQ_ojVHyJn^5sKZ3E98o^WpLiu1!LWjY;!W$)tnhsPhU{2f-w6(sE>nZ zzVt!egvmDgIhZSsn+790xN4mSfIIx^_z1#{iVXip@#J}nr=1fMwEml}QDofi05bh} z>x+~6^goXt*{)@W8FvIJ<@KOSZ*yI47l7*%r+3EC-F?G=?QhSM{u9d>l;#61b!RlTF&Oh8_YwLiR2!8G-|8 zapx}}cKI$tX!v_Hi`Hhy+2s;Fkyc~n7LNcqHc}3?N4kJA-DYww{B8^Bm5B2=Odnk) z3ued4hyOS^082Qnl!pKSOB)?L&Wt!lnb24Ex?wGAVKj}Oi!exrz17wH;I0!hKq%<2 zI05DWrdq>SK)#z4$cC1}IGWXN>fdth@<5P@>zmkS6gEe9)fHZ6D1H}=wUsuS}L;O?O- zm^nSGxxkIQncC6sd;UQtPF>CcbrDS~6LvziMv!WK9CeQi05d_%baT;6LcG$?0OX&f z=Y$4ZggA@WH-a^TgqC>MxPUCoik+gdsf%K)`NF_HjAC#z*S7Rd4WGVkIj`rE#63&d zPR*s@XSaC_yT-C#s0%ouBKXbHxgiq_fa9{_o!=$QNrR`qqs&?Is623Uc7Pw)m}TC_Pvfz7Ap!&(d;RioqKUQDPD0FRNS6)_5MtA`b{-?- zrgVuLBer3{^1K>JX-T9^ErQy{?RLc4jh(fV8RDWh_{3E_k!@egW244Z-@9N3NL4KOdXsNX-a@D zp{ot_L1302pcyNIU!@5bp8-q02LtjDB&T+I9p$Rh+Jk#3+dMu!^Ebec*CLmsu^f4q*s_s{sFkCrrP;8bEL-OPh;DZx`avDf2S zJbD!Dei^wSd#g^f7hK{g1qbEC;uiQ@F~1>@${-CktVLP#1KP2sLCFVAjCkIFvX7U2 z=RrYF^sj-?^uU`4B85xn2=1sdxS^QS*JV0!JtS62{*y(-$ko8m0!W^(267%1o0HuM zm4#&kSnE9?am9l@AJh$hejN}NP=E%WpVV%owBPIyja5bkbTvQ+`a;m{`V8t-hN7J{ zJ=g>-A_5BqrM{SraZQ{aqnKP+(jzo!pGG>2uQF6Tp7ir9t0u*Ef=Vb&3{YJI0AAb+ z7=42+gKA)O>SR{hWm^&UD5<sYUZB18paLIO&{Vsn|{9!Sw|-rTk+2|CYtT zSo97C`f(pp?&s!wCeNb`Q?2hyG>&VKvGDURv1Wvfz6U$l1$79zsm@+#Pze?fM9YN?eM6+=>&J8aJ4VZZ zDX8)|_kJ@u&OKTgMUyAEU?;?2>kugmfG`OUg_-grbBaN`Z%-$2njUVaZm5dg#Gd~a z%wBPBpuR!#`y&MxSw@1t~8bQ)7Ec~X^oxPo3WI?Zp>`Ewt0t0(QzSI>S ztR7;hbI^(p7r-VCo>VbN6d|S?_tOnP*mKCK7nOst?(Zl`?mBgb0B~DOJ`hARM-Vx{ zVFamzlT0lhSbSoY$jzEi#gsc0S%Muw;$rj423q`R23-NK#-|+=Gx{6^y9Do-CED8ufOkie} z)lymAfi&TC-vnY4v{_*A%Zd@NMu;nTmSjgDX|HrM^TD0~PprRKjlEKoT~7f_ghg3c z4lWs%){E$F_<`xu^r>M14!b74DPVU|kZw_m?At73W^u>+ z5RldKxAbMw9j!>;I&P%Hk!v8i;I~X35zlMR+0eEBoG~Gat1~4L;A6*G*lMTU_LSKz zjB!JsF%s9iyJ;>qvCN8!BXIwWh$cfF@^1|xxRM%amh1AHv%H1z?3H8R`_{eKgm{09 zDhOPSWO~tZQSyeSk*Y|CIaIH&<*nlP{`x&As=cb4Te(ithe@Q1*@I&ud7xbVG?No4 zl1_XEaN>tYgg>fV0KWb79Orky?vp;7-2V24(3t^Rzd=m-G9KDo8^!ADT`38fc{tz? zAnMw@fASDFuS<+w2oqC~CA_x^tKiW-s68JrbN)uOoFMapWC;|@GT2%$@tU!0-gn}m zL^wqX%7~N8^D+vbE-{NkTG@{Id#F73Xfr2+h`TGqHpCuL=K&P9@E5rO1Z+}1rS-U3 zBgcoTK|V$>#eiW?tSas{hL81vHq?x<&)MB8T01t;vEhdL_OR|npLC)l_U#REmm`GI z5iz}(tDF$XqjM7ZTjSL?(FL7JRjfOuL=5o(YYd$Puzk?QU(Yp8KFhEGg(HYt^Dd8% z+jEQ>B(qe2xYe# zP!3!06Pl0P+nc2+u2ee2Ht^T;uey8I04X=TzL<IMmfVWeT7Nqh^1vlLa_3W|!DXK6-@9=K4z3DeVXkBK*`6I7nJP zMa2R@MfvBLsJyM~Nsa;H>#3J+fl{rHQHgFf@pBd`ZG3V^0z=&cMh}e7Jpgr_

    P64 zB0S4%VYCgK(SlI7ZcMUor0M%e-D|UCwUk|Oedpm3p0_3jqmDl_eE6VJo#ZGmt)z*C z_Xx}k!rNR=4z05R_$?Yj8gKapD@zgsfPD$Ve%NS z+SK^VwB@8*Ic;xi?BN4Y^>1Y%O6js4OyyzK09&7u0v;=%>)Zzor)~v2ZS0^xW24>+ zOI(N>ahkEb+zZN0=-DK%v=)rxK)#Y1z{i=oZubV`MZ=ckuE|-|!@seK2MVvrk@vvq zE6k(Ztn-7CIKbn6$BUfw3j8)2orN~3R?~S;hmeG3qGTlsdgjzC;wTU%fEY3Q&4;Cm zv2y^sT<@wp(NJ5gAw`ekFlM|9mPSYE=Qc!YugWI9Ji%QufI3@PuL6yTmFPi`P`Ht{ zpnvtxHobq;5O^1l9fVW=v|C~R*jvZPtY@OQ0FlP~2-;7J2kVgBB!BukQlE?SMHF(tDtAk-1MimiPH@(rq7 ziQ$AI1+-VdKl{eT`k+90?(78At;jlLj8q+07TD%F4&2Lf5MN?iZ;z@!X0MXiIe7M> zt)fyV-v~Phj;?}nPQo5PCI=gvJy8jB9ei?^Lzj<7C?^i(wwz%V9?Kw$49J+dV)TI5j;PVo410U2Vzv9$90R(R58HWTA!!O@vtW8I>Xh-i5VfM2MYI|iAPGjV9+b&%s!Zx{UHVU3p# zKBWT-9C@!=G5~TvsLl|?YGheLNjJFb0CBAH|51ypHG={+zxk{uTyv!__1zFI9N=4t zx{;IC?l2-%%Vp@Eq3kH9*!Kl`AS(z9)QdB4_V2 zj-l~|``vMWsZ;p}X}V{O55!+L*GEDGy7!x@@07N@;t!cUpezB^vd(}0x9Dp7WyR#H zguB;KI@C-ReFb`9+j3a+Bs{CtrZy#%#-RsD3uaP36xgcKDv6uO&Sb3lYS29Q!~xtpmNtF=9_n5x*0a# zW$BsMq8O*?Pn(>g#}Zr-#?df74X7p;8gq*lM$g)~El_C2%M9~Qnmpbe?3sZT7{46c z1(e)4f}{b^EJma47-Q>8+9q-~NBa>UYP9*y^P2ao03l7H`UGQ#9Kz<%iulWF>owBp zX(O$-)Z7UcKkPoay0VG=R%i!iG6>{M16VgAlif61(dv)UR|Jc<#-{5hNoA{-za0R! zMwe=VC({kV^C|M>{x)anl63zHR0VaYxI2NseRW*b#w9}|R^r?M7JtefcbAT!VIt+i zd-yY;_HN(lDCkgtCSPRvPH%44DIhLxT@}t>a4RE%(r%w}g3)G07((ZAiX&%u4IY|i z>#)%X2FB^l5}5q7T+MFsKXs-IY!yzSQ^wG*)Q58!hI_u!$r()Ak|Pf2M518$0^vfw zd%Lk3AYE7EVYpqbC47)Nsm}Y{Qxmk92I)_i z@eir$a@I6>!_4QaV`-5VWL}AJnyX|G!-f(G073*dR<`)^6n{Y2$?qeU&@@t!WmoMo zx&$0K0F)YPi5RGF^}c(2HW#2V1y&$#t`6tFKO9ifNt#o#PtlfcI@n$x3WARWftPI4 zlZ@`+lhJSJYWUjS9fs9=aO0m5KG7A3_F=l)VM?+Y6)gq{|0;$ z@N#vw3s2-#LZTh%%lC<0+_KkXDa!bu29`k(l)XRLr$xVPW^*E%0R#W09Fp$u7;JtV zEN2x2b37YFLX04 zic@kL_*|Duid}~p(xg}XXUC;)X(a;rGll`Nx;B%8FjgW;_%i`60??L)MNST$JRAd^ z%)ic<0r=}Vcx?a~(I6Bq+I7DgCKN<=lr76Jyq5@h5ZE1kgY-gIs)@z{C0hH8ZTQa7 z__xH6Q=OBHQ8#@}n@o{EVb38N+*Ex|xV#O1WNitMF%;Qff#Vni^(Cp3ZSpgY(Tp`d z<@pkM|Fx0EMtF6TB)l^=fnptKvVu%9m0=uE;V>aQSR8}f=)`Bsn0sQ~%%`E5M7b$x z14?=3)WJDhZmrrPI=cbmr^dNiu7GgIyNy)iyH>8ZgJ#rnv8g@`8mapdyr{Kj9Rn42 z^4N_2<(q_3iZ4a5G1b=odsg5cEY>byDNBP9^(iDA(mC3HwbW${|zLY|W_89Q{`C+E9cS`B}kdQnfe^+$Bd>Izd zFsOfx_1BB)QBHD`j|1*f(Zbo~p}&Rt9vUVaDwHS@Zk(qXc$8cd{GHHpHUQSRH*5lv zL}uip^vq1y|2B{=j=h;81e{|Z{pVdB)%}1sFH01*fqnq_oX_?W+6oMyWDV|W7)Wjz zD1WXpR|CI;GMw9WFv&;-cJnfaZ4Cp^(acHz?2{t@LP^w4uaT1~;I#n$LHxg{D*IYR z#A=3C4|1-x9NMdcjWdBrITtu2i64Qo`kC9}qYU6o2JP=_w9e~{*>x1ovwWH`Zv%`5 z98}R)22-92e8bm(dF)yPA%&IlL-09QfL^Ow^aPf=X+a&IB9(QN3?yq=`W&2q#RzP@QYX^>UT18u8 zuB=rz6r)5S8X=W54Aj+U`UhdAn>wpDP~Tl&mWqq$VbS7b!I~x*On|a;*!w{tum8l2 z2wKUbXK%1)WDIoyN_d?n2cB?@V@QM?8-+^%>2EA8?rvqx&sNCeQ`k0sQz2k+*FzO7tw|jobYMP{bYEYK2 zAw&S6;e1D3UI4+=wDXEYQU4iwp#}JRUTl)mW?SPml4=e6B!R*pZ4;t=7%=J$CQI=n zgEUTznqh-Mul5W4_IUtk{S;nd5+gbQ6g-gK@!@#>y7ONFT?p4`cCV zN(bXF81sMYEWI`N*@GCjXnGZ55qXDGlpa*YEriPD57m~IjZI;8)v3{rT3R2Vxw-)g z4sb(?UWmn`ck(Hgi^s7PvqQCZnJny46st(}I0DaQ5iiectEUUhgdJrRKBaSdasP?K zia;>9M>R2^)kkN7p{4R5p8#jXB~E8lYl~;5)65@P$|3=mCyAX=l4}$4xCI2b+6S~V zwQXADvcQO;0rT3N<{VcUIx=av89Zz&sq39VfZT$p%{eaXxw-I&~xrxBpIe zm`VU~49Q~_fQ5N8UgBm$=fOr58gJ?V7+0VR zL9o2Lk@fb7a8n|$0e~dEMyk&`k`XOnr0^3-&>QSRaJ&;e#BHqBewNmnUj=43@~}6J zl@gOS_99VX*J)060fgJ*`K2w^+CqG}(R>p4BtNKizh$%izePclPSGT^1<+GjUKvM+ ze$ar|##Jeqc@IwdD*!WB!(J+n2{!PU(~7j7p!jJHnYC~YcQ>yovK!UaZ!p~jEaF;F zvP8cU$jkI3Tp9LJVhA+_RS}kQDWgW{2g-uUdKtv!?f5LG)WfmDf?dza?VLa%B0Q4N| ztLSD%uh_&8nvX5hj^=aTj$ZiJNe;pu39TAjRC6$t3=1+4V`yw|*rt2Fd|+r2XlH^8 za!BhDNd>N)-)QDg%17j6ab>!(X$DH+K$Z#$ULCtJ7<|r(n)8-H*nV6yYDYZGvAC;b}=;=p=}Eb1SFmDofK0h=c$-nxURV6BUsv&lT+aGZ1Lu3&@#X!wsuOuny&<1qfxbT=&RJR0C2vSfrz%g8-6Ys(8lWv ze@SkgAIhTWpP1R6+?Rl=!B~r|=0;lXAi&vohC7A|2rOcp_goVkNGQBeZwlzF9q7!augIy4{7m6Rji*s z#5993X}{C!=Cw|CDqM~QR&M>5ik;VEv@!21w|c9_5-M7){dTJize=n=Q&l?SigGw% zPY=KR;-XpRu~rpaWn}6{#{>Pq#Y~mFadDNJ|S>K7{FPdiA z7h!?T{F}<99{UH-o7P}q#kh5m|0V@(nZ>6AZ?o3 zpyOg!1~m&g>pG?Mn{y0V#dubkihf(Nu9Gwta=_YhQR2VGEPGHmCdj=g`GGCAo_df4 z|6&`rKXx4j7Lub>k=Lq9t{8m2>1Yq>Y9Cc@!20)G@HZVJmMqL~HJNQpW}eO%s5A2P zEq@k}F9(sV;PQgFR(~aFbgk;Q2eBW09PDC!;GvH8t=q@O?0?nTL)NM8s50<>b?+-dwypjtKwBpJw3;yO&J!wym{p-LEUYB;2q4V;^&ga=hsq9}YyF4D}=RL9Z zTSQjwW>+(ON?W39(PSCu8jvhd1uK-}X+PeBa-)cFbksDwSUacZC7EpX7JEW5oEtDl%WR{K((c9sR}@j?a7mnb60} zDq6MScx``GPo7QDg0sB0O1Vx2uJipW@JD@aT4)aJ;;lJ*on_6q@zw57iFFI9WWlse zXWGS&eeB@dt&b7<_1(-++P_w!@mkMLH6zf*e2`;&)qc@wcX$4`Jl>yG@e*OqKEbcL z?8$FBpBJl_zBTmjezde>BD+{iK4Y4}e@1HVzSX^i*P7^govr&V{BS$|Zn(d7o3qIu zy7bjF`?V3eD7ikr^wk9RswwugCHtxt<$JNy(A^6D3OC*RQ!MQFT^P<`BD7uFHLl$? zLAskB`vbdVbZNsPDOVXgYK+RZ7KKj{oTY5+#vq?`R4zTLnj7UJtSyuc;%tg?qQ-9v zb!N|*g^ZbBCpPrulxb0Ubm6E>-fGRz_2ig7D^yDVC-pj{T{oj#C&7(ZO@4@LkQRZQAWt`bEw`5@8K2 zJazCD|3z_9S9Tgwax=Cg z_=lnt_>ocbU17TPhcae$0n>#iCSSf~5&ubND)&v> zWBQ>7k7k!Ha*kNCx_@$!IWDpf_{{wWGh9(N_m{OS-dT|*%WziX^6<*xJjkE;qu8?fIOYNcJzX5{|YC6>#r+5;wYUN#ZJ z4P4wvvi@6Q{ddl!R=Z^Slw)pr zsL!)8f5|2Np@sjAgM4J$ElBc0R=FD92WDHokzQ?mg56BAo~tlfmIsiqxD^A4`nLH|dbVgv3@;Gyr%V-AIaU_ zlNQQpx$t=|cg>@%nfKNdtTdd{8TLp?_mptLr$HR@cU=Bo(u8d5?pEu!i^jEj!WAVv z?KAeOZC1Yj|Jw3I*L9X>c)DQ^9$&148!tQ{UoPM;l)YXeZFEV9?iH2ijhPWDE- z^k^xk^PeAmdVdqC92_Mpt?`4Q5DhWEm0qgZrTU)<_#QUj?S9HvF7OX zIXazw4OkL#I7U|`X@i9mM2y`=rY~Be-h?Q&Bvj0QI}=_L_>w0)q(v|KO`Esity`4W zi4@I7i9PO-DE4RT=@Fk_U_O)PcpZGQC4Mn@<{UNaCSkpWe372;I%?LR|3bEVzQW)* zL0CyF-$x85*!g@ou^45X&T*cG1!HTh$GUs!R68be@>S)2Hn~<=&-U_4htnm5d{g-W z3l98xnZ$^?$xnN2{}2Pyei@Xr#e6$8zz*^&p-^?eyp%IuBzq&v5h-&zYc)@wh4$I| zEv;$nUo*bcw!&GV{%nG9F_rTP1p1fqy6U?9uhxT|3tQCsEqeALBJ>t#rfYj>A8Enz zQ>^d*Zq?27&sSr2n_7Qn2O4&p*!YzIw{{o{ZLgYnKX2S+`UUG{;;yycv=CP3LVCHe zMDLy`XQ5l6e1k4~!eP%q{~OtcK2mNf_mb0wY560%!P`9HIWy`xvrnD6h`W)>{Y8(e zJb5#A^umMKD%5f7;vj*%rganKut1m3Ai|`P+}m`#$~Jvfntjt#cbzbw(E&;M+r{KcL4{IM#(i zqQ84fs0Jym_^f!i~Kr$c_RhMG5VBDj<0&5f6biZEb$ z%86B`?r7Lz5 zzNS1A(&@kHebu?B!G5BBA=b})AhcKfgn5Wm$t|-aO-TbjQU0d07O!HYE#Y;g54=wv zr>`+nNuL<<9^52f#s14of0%WZL($BGvHWH!v@h6@pf|4QyE<;Eym$>?m$|UpW}P{5 zit=dD|RSDH6Um5K6%%45J(&wcQ5ZzPPjhRnOepeJV zMRqOuWBBFs^*LJ?uOGA9vV986$2CjBIrd;Tv}Hn|*83OYGuRw>XbfpIN`Q<>Xjd0% zU%|IqOE?yhajIUMg_!@Rw z{>>Od=sy1EYv@r!ui;gzdZUS>KKsD_4V;yKbM9a#>8Ac?q00$!eM!tmzZkl6UR~7F zqgUBcv#r!MA4|BGMrKzp2{wq-t4;Fe46vF!kbg5B8*u3wAzI*Nco`wMSUdl3z4h0q zu}|7E=D%^3S5Pn8J$UNWRv;>?hQw??ff=-QtShOo7MU=i9x+}nB^}@WD9IRk#2(=6 zuplMeFQmQAovmN$F|SZ~+iU(8jGtre?#;_<0`4dW=iD-fdx*xf4-!iPu5=pQGD8gS zV`kh{HqzXXhU-UBq%$Mi*!}dMs;#eyLFQHRWCvc#f3ou~wk%%IZGQ07axErY@TQ>L zR+Z4bpKqsH?@#)8;Q?4u5^|LP%%b2>O=Zl7EJn*h%aHhQ{tmg!J_oKcc4GBw@X(Z_ zv12Xq2F324gpidrDVtQ<9;o3fX_sN%)vSv!R2j_Kv9h#It)cy54cE@Xv9;Ea=0}9z zuJX0E7tCy(x2{w#t~9m2#LdVq$ExKwC8etN^^$N>xo+XNvQwNJlOzMzu<+XIKCWXr zYmo!B2EFd+*rEOGOZw=^>8{tzs1M53%GkKpn0@r-&q%)X-6T|88Ee0}v$bwX@8djn zc=E*ERcBx=uW-Glbh}Rf)a$9zTRDFixbLvoQamO+|17FfGRS{rTCZ>U%~BbV++H%{ zIA68&(dNn9s$GyUQcc!82W%opzR*6WEZYaFg0r04`kTa*67U1d3g-6Y+{Djy;?+*h zin=Ar)OX~IZAusY6#fvgro^->{SL%#CAUvDF*@(HpS%9vBJ`@$SB4S^&O7w3*EY@( z^|}hMq1`E2Z+#Q8Xy)ZW|7^r7mCUSre-3^@jD`Fs+%_`{-V4++OgWKt^BwbSB{6+>3@)I+V#~6XtIz_i*#f zs=u^{VinfH0}9KdO8G`^puy2}t-Rz~$Z(M18%AYEV$LV4<9G+Z-|xb2(h2P$yWE1`95zgpoflG2Ta6y3Co%RgR0Zsz&dpFT zlrl(M!%gJn+TAQgosp1=u-9gr3vqAjYEz=|5K&G9tWtv7UUukcrPFcLR>vaY&qv2_ zMZyo;Z;1~@jWb`@z16<)uEX{G#Myj9dAc?6zP+i|;ZVTOnKrs8pPMGh_wb_42T?!g zA7kCLq+W8WN&P;xEqYd>-w^H&5Zq?f%@2W^n=pffccI0rJujr>6L!f zVvT4gxNQpw6?vhYa6doASMQ~le9o5C+O51dto(@^ZoJYOq93e#nI#-Opm3-l958)yTKWKg z6aLez!#G{Du8*~k^gPARmH1g_RSNc_m-m_tErC;B53JQrFL5=2FEHPDRasU@qF4~l ztrSefNj`21FK@A><8H2IT?5)-f5C%_))3CGEx$|!eyJ}@p=s9M6gI^A|Cg>ShP&Cl z@zy^Jy(#1GJ6LWl>yfTACr>FaUa_pYX(Yi_t8_-l*PYUXcHWmb+Ap!B2b-cgj1RY) z{>3erUL*T8!zr7+@`<-tZn6!wU4$N^Y(yJ zm=lC`fxi>#S~|M^3i-xsw-4%y={C`+qh!j4_ZAHAw`cv=nhqMjjozLPIq+nAy~V%F zP-$q}S(y3Q+Z)-HulemIdUWq@=!{w*nT5x$}KeKrT^D%31>v-1qGyB&e zV~3p9sb1NfeG>8)X;GyduEzKf*61Bbk- zvqB-wAvTtDZU>mcoc6Imnd9vAdwRNcCH@*ou|ZH0#s8@qJ_vOt|9!Q!GpnNf-_!O3 zB{Li57eoZ-Y4$Hz`mwsW_r{eJe6#g(>MzEhoTC~G)ZYXVA42esM6TuRgBoa$2gYIl zs9$y9U-YTx4tu{&6jiupLwZOEBN$l z)~^#;x(FZ3j^pDwI8cfKvC{TjRvak$2+TQuy#vSL(W0vMP+T{ScHxnM2Mw0M7acp!MDV!jph3x zKfNMtp7}o{y$Mv(Y5V_QV`ZC?nVF`Nnz=M-lQpi08{tx-Y2)~m(&nQz-^ttsS+X*6 zCDg`gQc$r_o6%{ir(A$ZbFBd}%`$~ljKvgXksW@Y`Tx(+b37i8%7^>DuIqkZulIF_ zJbPm{kl!r1gLBrD3%`42JgMU7VQG!!J`>pyk^`7FrnP?d3)W3HeG553OsAY_rsB>G z{Bvlm8`kNJEkQX?3Et=m_v(-94=5X+Rf`e8XB@EsC=abb>-V2 z+Y;*urN&>;vHDVJE9KG&p5|ois%t!(wt|gf(12rU zfosPBnL`g-S%q;Yv93MPF7_>D0>TBN0F!vN?i3A)6&k5L*t~Zc9Jy@mm^=gSEkr)l z0fkFd%uDG0vFzD^sWe1a8@md(ixSaAGK>Va8vd|MZ<*v0s#xF2=7pW#3mV=M*>!|o zp7&5ko3e`M{rdy4tFyitUoIy@ZdYA>#ta*y+O>iDXv-4c8$gZT-(=cH8F>CT@)S7e z)+u%*-VOsrXxKbLZw9|M;Cj_^3x0Wnhvt}$84T$O?rKBEdrmx!MCx;zALBY>@xb$^ zwpv33*K-m&9_i4_uiO*l|2IaQi-b`Q%tUk?phOTKk^5f0s|A}SD6WWoq;DX5S~T;Y zo&8OVlt{?!Q$ZCMtsuW?5X;P8+Yr^a>zfhS1Nyw0gQy^rg)-LVeY_!rD;gVxx2D^7YBs17^;a5GV)QL3ICBrQ zALcR6LA>zxafYL78@Vzt=uro=n0ut{#k;FM-oLi=X5lD$JZCy0cg+!8qz>)nKZ z$M&=j8|>{nJQ$w`hr)<7 zU7{OPyefCD=%yOap2ziMfk%8#L!Cvg`m&n*1SAcU=uQ!fYGfX|{qujizYx!SFl#3n zj%nT;6U%JXtxRcltTYZ%FZ~I#CJLUwqt<)iqQsHoP`}p2 zDtMW>&IPF`JjELFyk?HxoJ#HtVRnT;!VRZJus5aC!AN@MHxHS-VB_iTFd^b0#z&Ze zW^Gxrtj`ZcHDx3AxcZ1FS2`NbUU|`Q*5`5>#C0LC2KP|V92@f-D0(5T#aXTNn`V~uDTX^H@%=}^ae7ZYv;N2;5cMW{*zZ0JOSD#)0``XWp!SL24VbQuaz!}%ek#DNH^tEU4iVlT1c;_zX7RQjG9jVy2*Sw=`ai_%=WJ<%EZ!GfED(+8vK>5R zvA#ykZ#;z^qU9|-tG(jG-dy}dXVC$Hy(Tj!#Z&Y+Ir_`JYeA^Pu@G==UadNG$zw%% zM4{ixV{SE~uX;)rfiu)3Y9m0vl9)osUsaZCQW7zf^~@RsSI`(>`B43|IjkxVG5k&H9sb ziJI?#+TUY-jphd54_#qsPA{7sEv=qUVn6k_O@9U|R)#UJe^BE|lGix=TgeqlTHt>6 z@NFh16QSuc9=U6sGwqFR!^$o-pkw}5E(pFFu}lFiY#Ooer8D6JTPE`8?@ng*vIHNd>8GQDui@opF>FjA;{!BOf=W4!{@!Ff!p zsb6il!qnhUUxw&9!b&|0NB7<@YU5St#-Ru1YosN}Nd0lpCe2Ruh~_~cfo!n(_&}6@ z#M4vST~7Fu`4jWfH1Zzqpxy%4!C_y$TlwMg`0{$=7*c-Le&D{m%#9q%e>V6Bn@;apKX2%prz&15b3t&c7w^k{qZV;=o@~&jHd&y$c{yy)O#U6r zcX?M&@IiFbhmc&}zWMJhh|~ITk~ZRIPpwG$&|+4(YdR z5$jC9w>9=+4NGumtu}|Np9gRmbMMDn^(UbGV4Ot<)+M^319X%fiX(gh~Q9SH7)aC^JDFami&q{jSe}KEok~kAsRn>w^?=G#XXcdV#2j2 zg{HR3Z=klyQ2N;>3NqB8bnaYBN3;{|6rwhr8BJ_>Hkqnoo+wN{&Muq#FDpcpVG9lG ztXe%%Bam)%(;;t5(s_E5mJi51a1x%d+OX;^S004Ns>bw(S1kG`?=lBI#v)p=y2O?j ze81Z(+4nRha~Yoz3x(q7rSO$}D??NE`sI+z$Qf`Lq$C9_+Vbot{@@L8#h`^gL~bUn zV8Qp#L@=-8E8d*%DJNGKm;N@3&oOVXg zXx(rjk&1I-+M;ihFK%MK7)qQ!k?vFB(-_oSh?DntKVimlg=Da*Vp(zCfrAaWz;3id zFFWg6Aa~Jm-TTy+1GlI}5d8Syry3+1N<|*mfR~yLp;N9l*5BZ5O`QzkQzzMp*E^ob zoT)D>S9&5i&dhbGfntUo$JOZE^7^7KEq3ZyDf8S+!88|@>@d!B%=_~&&MDCKkUSAr z&ZOyTvbcQqU9vFy3aI;VEFC2O8eF}07!WtkuTasplH$DYAcaY_>1YY{$i`h%EQp>~VSzb?q=I0M>qs=oaMsj6gDM z(IfSToMEPEZZxKF-hQESd5jB|(!C>>F^2u+ z+#cz1&3m@bVQCfh^#ShFHR!D4(Ns2KAbEv6^@?SlF#mT8VU%e3QKk->cKzO;2(cA@ z&^?sB7X|m5@A@a6-=QQO!SA1c^%?#ZJPW*#8(Ndo5Qm^~t~s;An?+S`>OA&a{vMt` z^UoBx(&3HnRl$VHO9fgIQf2G)$qLK+)|Z0rqJrh?#U~eVVpp45N12JJwcg$^-p;}l zE*XMzb$u^bCgol;UgkWs;gEthPnJgXJe_*S4gobfCH4*;nsT0^9LiIgjuJ-yHhALB zK7UbWXT{npFH0wH7Tk2C-#o9whdP)SKbkxC+T39vEy6Bs58hEpg$Yhm>{~t*DGZt1 z#DFEo8il)*vdS3Q22^pcEZro3weXw`n1fxYah?J>&sXPuXG`dD75EHczjQ5=f#vy5aHFn;5{+oC_u-KI|hf5}%M z>%lF{eXignTE9{5&LA!m0&QBBtD!ff`E&tExxhHCK&yBeLM=a?#5GyFMBpSn^T zm{FmdAP#8J23rwK@TWZ}N2>mb-+}vn;3w(yG1X>?Yx&ya>I`Y%_tFww_KKB8RE6_n z#2Y_h-DKhXe9KPB=B;2f6RfV}^7;ZDm6BFunJ!0vp&mt2=JN9Xtc2m*RQ7b^@`fn2 zGjrU;4I}oC#C7b09$-fv;0bX7BdyveYR@jB15TmiUv$$Q7m#1k$g~sKaP9M1CGejv ze>yOe&ir0bkXvfs>_risHnaV=mSj z`(O<*0F~7*Yj<^f>%R-6Tvo}t`OC4A-Fn;Z;2iQ-K(kBWuN#Zk``0`kMlRK@99%nj zj{-9NtsG8zIq1`HlfH89$4O&jU`w4Yc{EI@3|;6MhhhRpS9-?Nu>#2~b{Y-xk7nc-c7&)dXn;_KeAy>!$2^6;y7<{WJZ!?G(8$gjN|)G~o9f{J<8s+g~Dj6Y0fe92A9NTrV}%5>G44sYi> z;wt%m|}PC3$F1m9hKD z8=zu#Kyj(DQbX_S`c~6X$ICZmEdOmxRx!(PV720I;_@kI8yp1;$lLdx#Onj^x-WbQ##u*G$zKp8# zT$FI2E{vg;PJkrpj87wr4MV?o)^MZ24{@YLLI=v*D(M6*dDZ>p>RbR zhTjz#cCjxAjP6oBurcS5#l2~6_*;gUlClZynksq0l98ysr92%oD``Ai)l*AU!h+%o z2W{LW@HL{d8*j0571JTuB*hiP=xAUduqUuB`4ET?IR}~ziqbe4!`CcFR+G5ZD&##p zD+~qohu&3&`b8`_j9AWi!5Fr#Z?#tvi`c?x)W}2WR$i<9Egd5&$QJrG-(4Fao`&2z zQ-EO4I79EH{b)>RKTjT$DSxFUu+DSKzuLV;pqCvMX#@68xh;^Jn5Jw2s9~kPhbFd@ z11;Hc!+ImSJy6|p)@mfanNmahkvHMltNBBjM51uh`UBeq!Z?N-`BxwcJk&ZDpCWp3 zVuoenbXSNe8FLg@iy5yB4XF4S{hDF%(WbHyki~6yE(=G+3%Mg5%79|&6uqd_?va36 zb{3{jpKkjAb_i{i03?TS`sn-Yig?)7J>7%CL%{4#qGR4Re)Ukt9V}#;;EW5sN2_e8 ziPxK1H(;zalB;nUXvPugEi#}~pLX&gG3zq2Yc=Eg>w*aLS^Wy`OlNJJXWx!=o%tgl+J9^-Lis_UQ*HtTynhr8;TieQ=lodvL{f9jp@a$r^!4l~2t6Rav z%5nTRU@_EjCXTrU)7lg4Ph#GZk0W}4{eEoapz>X~miQUIP-f|-YpuVP8@J@xY^{zA z_4~%)s)c`conr6L+NiD=vEoyeAMP@y&i{yXHf{l;xKfJEA^x*vm*KebSaF_%*s-*) zh~28Zd|b&p%p@*FkLlq$$X}9JsJP>NeaSM#!f$>@RF|09$gRrStX|Z64}I4W>q$@B z#E>&=7?Xu*K#RPYYOo!P!<%75>dqCK@@y4_OpR7kwU^!SQbRPbDvt7LSyl_B{DY*& zZp3B0|8*xLk&6uL>ZooXIL|STd**F`fQmDo6XT#=ypo(geGFAOTUT7wF@hbhUB2lA ztq3bN`V6^tO12oPl^3};dlR2YwiMnSAVa%~Fo>>Era35KDiK265R>9`!E>q6=B(k-UYE*VHe z?=0}HTI=@SL7_Txr4cu38Y{nfzM$tI_b#pjy+v>I7qua4aJ%XQ;HX@rIR=?#mqIWu z$|Z}+hPkwdJ!djZ1mDI*H~`ZGS+d14GxLSAI~rYBR}VVgznc|h@!;PE2O2! z|0oVK%5-n}+1q(nkXDd8tM#ROqs3t>vhAYFb$hbzibIMFmLDVCc~3Evz!ybXk<-5} zTV7|nRhH+R2Kg72a-B7mLLUsc{?j@N2W8g07hoCC;=!OBQaZUW7}YD=oic}AjbGGP zJ7vgH_;B+Dp{Ys5@*kTQE-~Uef8-~O5&36TJG75R?q4A8f*w{sK1&GvB@iLCOPFg> z#Vk-_m(SN%EN=|2?CR}m);1*Z4bIwX<%tkDh zz}w%8(!q|RML#Q{+E!v$`H2u)@}`M#+GsY=x{Pe9D|y-a1pC_bCQ@d)5HcvqxH;l) zD}KT>Z9{*Xpreq2-aK8dy>VOf$JYn`H;!wm=8YHtee=}(sXFaaxd>GD;^DwDoLztR zDwnuwH@qH0bjplct532o-#z6G{{Mc{^?Smfj=F`x= zixD{;K+jKNl}i2rx_|MJY9m#)dG=sA_!PZX-juzC*f1FTC0QYhyE;<~^Fv-rImzvg z^veYw5w%fP){SVrhIzBlK-XYBT9>R$uD@Buek(gm*=jAL=K zH-fk4{2y|BaXfm@i)J)b{g@Ih$8t=<&4Ex3wNhvg;3s7&z7ig*3CjrrD|Yt#%@Tb5 zKvwvBLy+Hz!!L9ACM052rfA3~!x1jT+WbBl7w9jd>HdR;^4HhsJjq2z96YO#QbUCN z_aP=s?d1>_hOZSS@$n^D#|7|PIFG3$_M3nrC({yR6q_Eft>0niQlX{xEy``FIWu+q zjg=U=bfgBUk9!MEjF4;b#o7oifXx)%Bd+r&mmJPBt*}wLM@@*5`kU$~ ztrrhCp5~LlBxYb7L=IAlojKpq^bBvq?`^&gU<&8zDr6&|eg7 zG-GcoV|kO*)`nC=4JuAQi?N>Zic;s`F5#^3`Iqq3*f&SK45p)l8tqTgYi!(tkcPpV~rfwo~lz$ipPLis0zweHf8H>Ki)9rJk?8=|q5B1qbf= zQp-C4A{e(OELYq^IR%==zK?t|pB|{@1TO@ASm8P(ndTxb@ri|g`Y<+cJ|9B6wN^T? z1wWa4du>$vK=|UKvi=IR8dqFL%e>Izx;D3$4_>RjMv>TSelBpR`=2ESio=f}?-Ifq zv$zl58jtX3tPZPy%LU|dEowJYXxhLrSd#m&ZgFQheMOJvO2$*Ro(^!AJf_zubCHYg z2?mzZX|ja(!`iEKyPax$onR&9uW=N8XU2Zz%W%P^yX{{KOV%D%v4psUF^=qrDn{8K zXq%o6o$!5V8araq@0xtQiac;|Slis8J^$I;KkcTx7fXw?vs@@!>${sFoi>wdokU{B zZWRZ6sM%GJiLqfESN;*3@_d^tA5wc0X!@8lto>lh*1MFcB6T63Dd-kXdrB*o`)8Hu z&=C{hbS22Y+p&yK#f@VRzRmA4Dt3)@{h>WKoObkTnXX9|^tn)u=_ril+s(WPRa5mI z&6fQ?zsk>%n2Rp!b}u;0P!S6|{7&W)9=y@+iG7$zHdzJu+M7s?`_2mXT|_HB7ClkkB}N~6lo{MpeqqqEx;09eCgpU~oCCK6w# z7&hBZ{lgB8^zp}^{yJY|*txX0Z-$RE7rRVNhCq^cqT;{uKR7!T`bZwKax0ckHwMXZ zR!`F2Wl#%G@3)^iBS~yL%fW4*GJ4>4J0*Z2SYp8bh4IY~S9qW$&3N@dbrtW>lTW88aTs^qm9y>(=Impob5ZvZ z@*t}b@C+?feH!tIIddCP0mmMWt?*h1n5Y)j+Ge2FM=?3F4a7#**pbJ1=_9nY^eJb5 z!5v%!`h`$X{dxA8%wG9q2y@$SU6lBFT!HyKHrzNayIU+R+#_%n>}Md{B&`hpYi;N&FD0;fbcD|{ zBmRznlU<{N^jIgX(IYS{p}66>jRAX9fOOcZxpG@9fP zKtIj?55u{_0g1Je#P9A9<|#w>9+8 zEwPyZ)Zr#pVoJ013@-{z6?nxWvX(=$kS08sz$w-c0c~cSh6b8IwiSCpOxFYP@&|zV z;PGWaFy<}9gmV) zos)ocp|A9OQ(?S8B0pyF%v%xLs7txw4P#J z>*~cJfKRpvMq6zaMNAc1G}X2lQ2wzKd;2?_HB)|WYHkA(rcAqyPTm9EA?;X>N(!at`2-12^$fjckWdi$pNft>n|C&z)srTr-iP+$UgS^;_p%2YloOl%qu;+WIaPD4(bQxrnamf+>j-8eabG-Hb$?W zxO4DO-o!QD_?dF=C)EO0Ni zFPd*qFdp*Ndt&_(SM@pvE^USMu4tsQBnw&fdgEc#;?6=ysT1Ud;l!1KP!J$I`lwoDkz)kYS zZAkWaY%ywEjjMl#=N=vj?DY`-9Z1-jH3Z?Pvp|hCXY~2**pkfOwXw?~?ntp=Up?Wo z*AyjGgYMX&uvm(Bq*zBH6oDa9cl}Y}Gx88^2lNbo z1`pFN44bqF z2_N*%P+^kL&n>G-TryPM=5-tGq;8uo#q8|=dCarT^in(EQYCSEMZ!-ZB5yY<8 z4QBd>LoT+=lYY*Sok3oWu5jG@(T=SY68@ecdyC(fotTuJkY7+gvfqStFvFo`EcQ*~ z5VCN)RVPLBUUs3txK;9)`3ufY^n4C(1-X}3p?ip-38ptnFBTBnxr;D8Z1vB%j&Kk& zq|4SiTH~Wy-h?iz^QoP7MW7}qTfiPnDS6p@4h!L((UIl|J%D9LShsgI`c&nRWJp!Q z>MZh_crc5QI9eL_&8yAle`H&w+08VP0g2iE%SKYSg1lQpse|JPIGW-3m*Vbm!HlyI z)uLM8_cDbv9|nnG(Wy++Ed6Y&%H22|jKA#0d)1(%JAw$Iec5@Zl;vf1?b_`Cvp0$V zx+6**?pdpS)2lb-VCT~sFkXiHe1^%GrJsLQnHqo&3ZC(VIYW84+kg>PyyJ+#{{@$RzTtXNN_$uSm;vM*<( zaRHSdtcI2Ti$6RA7i9uybxz7XW^_-#V~xB@YxYfH@H6&xO=7@$;99*Aox{w<7{iss zCd?JDz@k%Ne`FkR$dNfRZ@yx!B=Toh0vgZPb-(qw0=+(BfIhL@FFEr?g617rAgR77 z$p^7Fatg^REm5W%SN|3_trZ0;ra`DL^c5Y5&MwNS7F=IR-o;}{;_3p}w)nq!3fuuH zg3AsMvL*h_i&sV*&s^0({NWpLO@;Rhpr!GjAs-1l$-MhL#F8AU?`=3xfD=CJ*}a6< zUYK8$gLC}BIV(ACGdG$GT0Pf*_SyhccY!<+x?rmdMHm!~BeG8W0a#;>(L{GVb8C;$ z3J_&sKyGl@wotNs&k0=d)8~Na1k$q5@7om%a(9z5>~731Ua+Gk7>>jUchj}!Ug(J7;vF~$4r^%rx75QQ5b6hd~^I0r)KPLAjg zEWG#K&PeRG)wRu(XTb!Eu|X9bo0l#%xyG_A`Js?})6OIQX{MbC62j*BgQ42{uahD$ z#UI|d4W3z1?8dk(rHvc^)xoH4tWddq$y49!{8Gp}>nQYVw#T=!<@krnD0MwxBTV!M`#}m}kD8S+OL4YRS}% zM>m64xfNk<3zMpCUx>mW^b`2TycVJELH1~T%ZK`w{O7L4dCj)~nDEc4_UW6~2&=7Y z_9K?{%7|{R3z(jtC_g9{b&sbV@vP6|X!9@QE8=P3=$_!%bEZ4 z>E*MV=cV!&!L6nh8F*=sJY(t)!}f%)r&sVAp9Z{T6emBJQEYf5fL0|^(-Xaco5^lE468%g*&d1!Y^I=hUY zOB$RFsCf!won{`Do!pPFY9F}|c>FBX*!z=m2I~FubfzoMbs?I+&5szae+?K*cB;d1 z=efi+{Hc@~V`OJjw)yNCeeVhtIDnMsm`)kMZ+Ngm(*`B^oL=T@4_79x;TfUy$95iB z0>=bC+qq?k;yMaAE6h(W8+UbD8jiEi?4J<=Nj2WDM($L&1RM|z*BavLJVh|=adz0O zH;VlMpt4JoRTY3$1y!|n3RQ*S?PvBYNl&=pSwf4WlmCW(R02Qt{pw+s&nNsrDX`$B z>@zFI-54ee8@|eH4D?vN18Q)>Z(7Tn0Y&RYxF5yeb$OWq{E9QF)(K^WJDpUt*FM9VVU4@gm9%oOXQy&9M>y z=>RXpN|IBY*Izf(yO04_i)~howZ#SkNY}9Luo#@i;P|>E5m~`u+KLZ9w}2I8-k`;< zaKjvUQc;2mn{-zp$ZYGWY&T|mbdfQj$2xlQ9>HWn_RVXDJ`GiwF@%W@;$RAoj1B>0 z2}pGp#a}IS@fz-HjJGKaYUp)o_DyQ+61sDx(wD4xos2 zKeh;gBfObX8@_sE93WVl^1&hh67>FZlX}o+{8vVOEMg)%VD^k0HnGhe+1ybqyY&{t z_tK1R(fgvV(txjNc~=LpIb@p9l-N*So9A$ zZ~q%{l)29<8KC5Or$-tyeP0E7U-2P(NN#6&DyXX^N7xN`QO}JYKijnIb@$YStdg@W zna7S8NAag*?3qs{6R3!38M5G6GY6uHn30*e+{Tdc$z`onbHO;yX~4!2BJ{9d%qk-Ta_#@Uv@= zkq`TFkAph#<&YF4(I*())gwWQbo`AERJZ&roMpf%U-qlSU5OElNTwt1F+b2P&uW0g zMgH=uHC4TA2&NWpyib&4yzZO!BX_fI&VjZqe0$&cjXG+62QcZuBX3JR;7&=!HJ^1? zM+-t2+XQ_a-=*rJ<1(=9_vvjG|KuNGa@sTc2;w(K*d;07Y7Q@D5i})Vn6lAp2C5OZ z%C7P1$_SMY&{%~TBYlmdyzM8K&g^CqRfWBU$5R1#4LXw_(aEp-4~czT;_PcHOjE_o zy+5^@x>Na33Eql53{+Xc75Te6w;P(YTMN8;I)dkKEr+O+=dTNyadqbSNng7W8g2&= zrYp37;H$bXGnr5m4Q(2Gy=!^d4*?Ka%Rq5#<n}&3E?<8^6Dx<3E>Lb!ggDs9V=bZu^f9eT=|Cy&g*Z%3*621G+YnVL1u56b@n9jb3vo{l*oD+l zWJySvT09%<+*zuIEx3I`ZOL{i&TGa=}EMX}-1LC7nwhHVAC?f&o)Cl8zz;kaB zMFnXpaD3wY@ayp-%)4B(uP?74nz&8Aj^dx>WI}eV*fkYz8$faVjTn9vuw~{|@?Gx} z0hVI_eM&FNJuvOmSLs{X7X8Y(J7wzgs8N)A>I?IQro)Vd2%)|x3KLzxUNkNErQjY& znhz1gkt5+>o&$u(UtVF#i*=!Z`!}qa($jG-M}9T}cp?^e4TBNz`AZRSb|xP(!`{ax z0>(V{we?ZBE=rNST5B7#sZG0E1(~A#twpyx0qD-EfX zom!Q&rEw%p1&=Pe@gDbVVA>AK(;MOf12I2M?^HYz?5JudKL8;)*k`IqMNr_}j+h82 z3VdkI41)N^FPa5Tz>*AL05wKP4Ig7!RJ%CcUEzH~tT=3b0uWM%X}DbD^7;fFaU6aM z1T=`kq;&B^K=DMdgJB3OwFN-c1%LhFqVj1QGen-O+6&28?-$KZZonx3=_@|KPPd3! zaiWcZ5>g)Oo$0^I6JlV7cly7ZyvlULywlL*L6g~_P`{(&g#N2=wG$qwT>u#nFi!oE zDdcC@;+isrpho_KKxC{u?TO$#D9DBK4tYChwdXJ7FQ)g-^tZdBpVwVHAONQ93-iN3 z#SWkZ`SLjG5`0u?4#s)MJYX`3%(D7e$;@0nDL>55rxSEv>4d7~RVy=Bl^_bZrLN3j z<^^ChhMZ}3R{o@a7K=+{dh1H?0!ttn)&nP@pm{`9^bV9WV9y>OH9qOTF1*i!EnyWSLTyq_5-sxr1jj%ex-+?8ZQmZA!(B)soL%cAAfLtj&mm^hvGQH z4?52=84}ox*wj;5=w|eKK)^TaOU!Ba&ngmwRxCvp0Hap0w#Ng#QT=FHUxgiv>)EV^ zz;OUW%x)tB3caLZdN|v37}`pS<#E(YjpW|04&06rnl{1>nd30Kz9!3s?b3XfWN<=n zTNsmV9ZqDqm#@+8QkJ6~dBUDhKp=JD>&N{hZM;|_RnS$<(B!g0+y@VW8s%lz@IyZV ztxYyyV=|9sa16;KRP8llW6i7Ayi`q6GnB-$l2;s*S0Ci(7vq|=yIa^o2ZeVm=f!95G1~r^S%;du9dxmW!n&Ro zuI|;+bMSphZh&*lYUv?v-4smmI6GFw$lPp&jncdB#h*uh!t_e)Ky8O_G;7b@pqm5py{XiqDJm*7il3VMUtJS>!c#LBBTpGGMv zh2BCf$uq#$^LKW60-6ZkU^9!@PYV404V6`f|40#{ zZAswekW|PyLst~Qly13{yl>{G=Es>=XZ`O=O$f4MihE1Ed#L|>@xGrS0!0?u%C7n{ z=_gUke>2}^bJXbZr>viV2$HE;8cooZeE8=zFJOG|)nTH(3~(sLUE!)X>xM8?Wo}&& z*P++ByNnX+ovoPiVS z;2rwW9(>3rud~EvEY4i>qgI!PiqK5<<%WGNIbZjjn|93~_{-<^c(usXeMM2-BR#;C zi{j#D>;GL82gZ?%RDD$W{16w>4cr!S9dsZ3j9zK#ktaQz^6h2iqaKc5w-Y#U_n<;D zbdyVSUrX%-hkbp+GzDgMU{_oP#doktQ%d5N1?5W0$;%m+5zouw45LB2r(RW}peXV* z%1u_IDUNh4HD0QFOur3)x~?GHCGxKr^Su(+B}>;)xXDDe*XJAuZeA|%_|*(JNBWGaP~(6;-0lCg`L}AAI?lPHVBuREyeR_^L6u= z<#y}7^a-auINgyxQ(pVgM*%hqgLbe|JVgI*$hk<@D3Bhxnj3TuJ6YJqNt*z<8KA27 zYBHwd6f|+x=%Gelq%$^wJrY+8x!goQ=eu4B9ZiO-;1C$G2|sh3{1OX}>Ut5GsO*ks zrQ-t@fa{D!Aauv7yWAmxZ!SeWz$74=0G!q>>BVa(p+1aV+yto-Xbi{Qbd)h>%q(;Y zd1%o|;H}@O){Wg|zxvG9?v-9E*yMq(RmseORB<#n2<40a|DE$_)=r*&2R;$%fS=5+ z1*R~douJt3O#EFY90wr}>Iz$B#mCw!B;&ln{6?OnFK`hugi*$EYqi8I`nwi2oaFSD-UCiuNGf`JL!iqOqo<%x3imK*G%7bD4MxP-O7sr zxUD$tE;Zcn^xwf+(r+=x1si3_Irt-(aKZXA2hXg-BADU(sY6|pi$OIx$lFi|`_SD7 zNWWXXG_vyvG&<$5gh<}|t<*;kL0$c{(TxXF=EhYD4GTbiEMaYXggeTO;}?#VEeo0g zIh}ty8Q*Au2~nGtssbgod0XZksIrd*P^qi5e&A3QksQBMV@7Nos<7?2Q}?^_oa1DD ztV1U#T5@tXc47OjAnMEG@)|y5WJo;=84@Fbu2+WzWD^9YFZ=LaHSRb+m)>y;*Mx(q z#Un?tn!o;srIBYD&+vDoFeN0O{D6WIN z*@xFbhYX?IG99|9_6UCFfW1N)M;X>Wf@P$VOLVyMvQI08T8kRo&Lv9%QAoamo6LS! z*|?HPz~KZNwj$9TyO#W2>0kX_=XWm<*BZTNJIFd~6hb4UWgbYzQ4s4B-ZtO-7IP@*pX*S@0ps2-1~};b|Hh zsw^oScUMurW+t&2Rm8uKR+TLm*BJJ#ekZ_7&000g$FRL`YL5_wlarj zqP~@PVn+G51kIdEa^n%S4mnH{Nh?IQUA{RA-G!gE1Ev^UwOK;$s~@UFed9tOs@wt| z){c1wN5a=!T$P9ZPJ4-WoFblJAol?lfg@^yvKdRtdJL(?sNTkxG z`syWi;O#2h73NJ~jKTfWeFaYODhAjZASmGuaktizGV#QmH zJ37X}?ikwEWh_$1DWU(bq%(m^GX39v+hkKIl{S{ClxAv+w2mu~nW0&NY2!4hOj)DV zZ!~w=r_9V1P0Jb;TvM}h+WzGNl;&EAxMW#EiVAL^EV9FUciwZdbFzBeZl349ukUqz zuDw)fJ~ZzCu|!w9AO_ee{|+ zQG_j=0ZoY?6slInH^Dz`WP-mY-^46$h<0&iU)oRGZX&p@x`U_!+D)a%pj>&$_ z+?^QHUB4LBo-)j+rS6jL8W}o*Y&-%FDJyx>OMmi)PP0GEx-G34XXfmhw~hG_+^Lve z8Z?$Gj2yH69qo zzm4{|ex<&z8iRHmb!8k*j1$!BY0TBmrQGsHI z{IQ~AFSZVPLsA315er_ZMwq8*Z_-57=f54*)ZAmm(@p0pVv@%M>kK!QheV#sn~K$Y zYMdEKD{;1s*qgEn!e5(U(fv#dI;v?}zeG9Y0v|@RQ&Onzf>LnmYVaaA)_>o$lWf|@ zvR$kI!aH)+gzsE+#+ZH+gahBd!GI!_^id9y{}82}`*uw6u2Ph?p77f=`Cc7HoyuKf zI_x=>RBc#)uo=1|3tgbuF+uiKSGDiCsd$4ye_I}>^lNo--!%J(Upi#4OVTUjSa??+e|pq+VntTE2v z1o~dS#}pd5xu$bl@OQ7Fi)WB+`s0SXIR9Bymu_=keHG6m(P@kdRNLNp;=5j&TOyhH zu8NuDvoGgB>g8ewaThK%HZ1e=9;81WDu6E-U2fjaK93xTt5!KZGqv_amsW#4sgcTm zY-5K=F%WlDWE?d2H>7mDZsFRvc?qP2aM_5jcq)Bzh%5%6O&j-5`wDo}E|e}`CKWa# z)Y$27Ih{^z#7!lv4niaQx&;0nf6pU&3v-atLcmiTwO1^Qv?cL2gx>W9@v>rf^3dyp zl0ePR6f_sfZZxA6)-A4{T>A7tP3ThcK+aVlMmuc<(Y0U_R;EhBbZ;4{{u$e)G4??T zT*vQpDar$Z6D7LfKwrKJF)ZGu-ZPP@Z7zS6LEfpZQQ{nkeS@*y@O%u!vbEUd+5R~(^!(metZ zl$p-;X3QXpDalwBD0XHUdG}y+b4v>ncHnv}X9}iI1G1&rluyXOAx^MKX=PGLY-pNc zHrcVeFstai_KMbwc*$~O>;q9z8S54~AteD(8=Q{tc8$Uy@%0d$O>M-!sMFNrQ|N(u zt}UQlBDaZaX)C~Nlvr+Fa@d;(GQ*_FCC63K97t4v|6sI38n@oJsfOw0{;gauFJ7ev z<^pODWgX)dP>)irJiXwK15|61AbEKlX0px)y+N0zHdfe9k^UX%|C$v%NceF9NBl>} z0(<~GE#8~W0rV|H4cAL0?la*qiWFr7nY1_`mFN^L(h%f;y{WizQ{4wmp`~SnZC9@& zJ`9r`suBKOtJz=cJV^O2U3i^~e(&{yy)%L4E#Wq5z-Za?8g-s|{7e1r*y_&w*q(S1 zDSs#HZE(E7at3XNYHxlL`-}8C&GZn+6$K+f7wzk%yjE_n|Y zIc(m%?In1nH<^r6g(1JIAAfVNje$KgfgZkJU-9~4UuF+AS6&D}T_Mxn{M(}k8V$E_ zf3Qqc*MU!zvCxJjAL5ggtr6_42*{WOGis8WQqEJ1ygPJS=Rb}}VXTD45Y!GcQS~%S; zUn4Mj$Tw!%z;DUX3fqMyA@U*n7OjP6%W?)AZ;iEVX+eycim{xu!^3%p%pIlwtGgP! z)#H1?UsU1O>COTH4iezBFvCowl-BC(%fd{j_t+0mdzKHde^#Lc{!-mp$y$oJV^U?r zE%IApnf||UPi6xR|sEz;c=tRQ^G zAw-d)H5v2N_5_1|dM+O@8l76A%?!8|7j_5-L1~@`eHf0uF0A{+FHVQP-Mc ziY&C3^0V8d`Oo71wG$XuBd?x@bq%ss5Y&H_?1K3Mk>@un@~bg@YuNR@$x$_(4bP%? zy1k+)4n`HRt~4*=YP2N^x#jA<{5S{j5?O=cqDRc{xQPQqfu{^xr`|JASlq#0j@0x! z$R?M_T3_?)Z%0X*6PVPV!0%$L?TD~BLFq$l@@JNX<$Xij;8&=GxFz#->J`#K>A1!t z_UW`a;7M#L=|9uZddB`V z^>%_}SpnGZTaJ?TLzk!*zSTSe@a}|Z6#tkn497Gl9wpl|GkZ*{J-SHxO2s4`2(LVp zV$)M@7R}bbVF0#qIN#dj-~_c#j+l4$7W{M0JYBng4B`sR(bK_?#Nmls8+dMw*t@{u zPso6~|4vOXfU|AP!CI*s^tm*oAWf*>dDDi4($ZLOHgrgrVC~9-y3fq%?0D z*#$&k${&38=ISm&CGa236U`w{ojD&p2( z$9eOY;LvmL3*0vknNKgD&-Y-VCv9EX|74=la8qY+y~;y*n!s2sVbp8v>+Qwm%zP>T zUDUeaHHbYwrVz#Jr*499b;D0Y^S1YJi^y1Oz9Le89r@BcmpqQX4wY}In*C|MLI8PF zJ-h}CqMQ1!9TVKo)Y?f;{|Upe`hPBnKbS++9_+bE{~iowyiVqu<~$EbDEM=}8|CdQ5jGc>h3`$?Fut~g?X)&X0DB7COHR-q zF)-U-Tf$%cqe!r}fiL)_#&&=G@Ejj~UCC+-^C5E@mfJ7S9yfbxn#<)cUZeP0ADc@p zBRN}AFBkINpR!Y9YRg7Wwxg1nEHGfgSLg$Wk#4Un5T_K?)nlhFj+jy+;%R$yfnW3S zz0w`+;{nRMnwFPVZ8Y0ChecY_`};hJsU+6}8#0Emb2>A-AL?Q$G*X4KT~qa&0Q*gg z!%pgi#C|D;+fOoRb*+`Aa|Zj8aX7cqw8ZGmb8fT`9%)wqgq~&dmf#%dt%71h=RW@j6U4v<>}dUEO1EtPrCVn_CP*GO63N4Gj=- z=vHie{Z=5141fb3WGnDh`>F#hm&N7|uNj3kK01GQ}wq|GU4T#mRF)`0pls5 z!MGmlAF>%1iwcYxNFLv%$rDC=GfrbwR!#a$(K7c#q zD4r>BZeSP3KD0c6Z>%rY+7h+`iHhLwepJ&X_Oc7@u2q!g>$g-YR>~_EkMwbL6Z7{Q z>3g#xf}6In=osW>*bT@CGKctBv1waG9qGC(KXG-Q)UlrH*OQ#QMs->dEoF*$4;TYn z2mC+psxY)j`r^KzvB3YFLn=e#S&NPZ{)*^8`ZVjrmqT{??JuaetWqVHEtiVD zHAU|LTFF=2Fl}BC$nO+`9l%fqDQMPaY{-nVVsgdm-9D2sq;+9l3x zKKKi7-4}bnBtvFICm+Pf-{(C6Y7FBuEJx+^M|G{@D&sUMQ(wAJ|IE5u?d^s~Y?%mX zO2zaUvm0_|&G+-(H@+3uD${ytWs9rt1FpTJK#0rQPdyd(vIB6|_c=sdU~i>&lD8%P zeqV7a@v~RWhw%N_0K~{EFWphW!5y&9vxVhU+~B52!-r$3dd@?N(MKWslfi zY+7YGiugLt_$95^wnmsvgifW8s*kxn9O_ahg70*h0)feiWbK|Pko(IjI_aH_rXzLp z>yDFz`t^N*jGJoQ1ov=79MgeHQ~boUfO(RHh_4{1lBW4zg=T{TduH5R<$4jG3JZnnGvNmml`!p|~$(cTMjaD9$4JmyDLih#p6Y^_^ zAs9;Sqt*?ATnVLHo#9a*0|CRuyLl|7X9eMuFLvn6Cs=6oB?#aLMvuZX@RWy-o_9Kz z0r=CIe&#EYR~z|c)3ocWGCJ6BlFP`a&J;pG@LyY+bf#W>n|F{kc@dz~EY!{yON@0} z#8%8+LQ4>GT{q9*BCcggJqqGmk}sWMIn6V<(hnfHEUX5^+NFn{q$q;K-!-setH_!N zV75^xm3IYhBSIFkK~Ed7y;nb8ymZi1>Ewp|2Y2Bh z*{#aFQ@g(X+%3eq_HYc^u>qMu1wTt(dhC?ye_$e@AMCmMi$%9)Kd<;&Ml)NvdP2|9 z&33jvi-u*ew_>x|ua}%`yVTk24Gug@kd5>$q#YUWA28#s^KomKx78pC&>sF@j?m+% zThb`357O!E)=?sX%ZnGIaa4~QZM~uk3>S*&WMq&QkK9_oGI-MD`ZF~`W7H9qhJZ6s ztk-Y-F_;FwW>kl?q4L$_A!QV;BKg;vp0p!C(l~(XUDInSY`wNa+|N&9pv9JE2t)^X z?C+HLEih>4j|yMF`3mwE=n9&jkatNq8ihY-E3xDD$Hn{DCqU`ncxB{0O4WX?u)!S+ z0wj4))J@yr-PMZg^fXCm{F6hxS}?C5)8Y@AfEImD=xA%&AA!_5;;4)9s5#l>;ud8jS28VR6X9tN(h^c@ty6 zRQphEGE*eVG;7#Cq4<;JHw>}sF(sd-m2xMD7OpJ2KiIWMc(nJ}r5?}GK>k7Cbqr(| zR??!ayu6*(!EX>NqyheA=PZAjFlHkgmh)_!Z?U}O8##g7bJAkzePpU;U(Uofx8S`V z(f)I|-n}M)qK~WO`Scq%WA1m6d@$K859i(s&2}uqvZ)!56O20ATjeVL&V2pPefKRR zd?}|H*NNq?kLwYG(6WU);}tP?vknX%_mm>BlR|>-$+M=Vtzg} z9s;4zw@?b3?Tc9yiCMP>4^SA@qQUf8tvv>yQl@@ztb+Igr^BOud_m9QF0>rN4QB8; zhf#8qzI0hSVR;GBV6073jMUKHB>C!=F!S+Crl#E9Xt1fQda%ln3czuYAXVrb3ZD@a za&~{1G2%2c0&$Y-Wh+6bwzCyCungo%#36rUJ?$c*Po4vc0VIobuxH%M-rOp~_2M7yiyAqBjNExPc zsFbdr>V)r{MwRIXkVk+B3&S%37>UnxV6_wS(DBi?gd4S?LkZJ%60bLD?Y0YHu~<8K zeun*RFDpIP->e#(Zr(r>ln1O`FvWx^o5Yh(H}qK zj72OFYv&QTUX5{};%PT7v5W8<8*=c)*US<`L0W6v@pvZR^&7BqIqBm62h9@^PINVl z!!#cfu(tfue7n(L#lHP|Ta7dElHn+qL(T{(@QCmq_tl;YSM2IWWIR=x=548vx;aE7 zgOsY)ACQCBkWX{HqVDK$mlbzj=VG4NTFn){DC&-({G|S@8sotrUD9`fi(%=SRf?Ef zj9&*drxfclicM+a5|5!GMUWHN0h|$c%o4)|$uo?^h#%^k+zKJH{8?3^ohXiesd6=lkz=%m%+;kj%RFHCjeA@qe zlaEub+@m=79;8K?#*wzxz8crX3{(_T$`(EQ(r0fJoSj(PxA~nqTGwmCwt;MCZ>y%?g8sqY z>=}j8Y>=C_b@e~N=h!a5FDE@9N6}MGLGj!rQ``sSLH|9mFFx1VaVO1=vpy+{G?@06 z-MoSRIS{GOekb_$fY*GIQKu^cw*FLbi6|F&h2UntNf)7@cezZzeb~McnZB6kQs!Qn zl!ous8I7^hAaJNh!HiP$q#3OnsTvXYQ7WWw^TOrDSEpe(!&==5`DP_X74y17_~&b$ zhT4@feJIxCtOH6PB@Duy(i&Ny-aLN?xuHp=DD{UaD=fN8MwuX$p%~YPfs+WMxmrU& zmwC)E!)UEio(+iql8eE78-GZ2k0=lEBO6u#Or^wLsS)C03jBJqi!Rf%#tK!s|L>5} zq^QE!h4~7xXBSJU`%bKm`8dCR&U^>sg2zhn4B|YF9-ptdi9>FNokVoKz64?wJ9(r$ zMN9J922@B-n|=fD60v=KK`gcX%6v)trFqhRL<$jjhE%r~f9DR7yeoHU?wm%aKnMGK zjsRx)ugooQ^IS!KVn|=GW{(&ZW7%A-w$yHCuc`E?P~<;1LE)hi)P4Yj&sRgI(9G)M z*gA5j`c9VlHE{rGVH18?mB%RKR31ZR86@-R%U(=)a%Ubxu>80(V=;n$ zWYoSE3ygR72j1T^gwDx9O1lcbT`R=p_{n`G{c+zxWS;d(m|75hkn1o29d+NFw8HQ( zcr~_+oUSEY=awpNR?ALy=Ql%)btm~Hz^-a<*$^UL1I;RNyQ}*oT+gb0ycH^IZ9<1M~5bAlUaMyf=;(EWo1=}AP(6m(NE&jQhD??mWpOl0} z_ca`M3xyb=zCNZO5<25q z&bob#JWYJ5S3>hl^Ag}l*eQFzrNH@FTCX8Gm(FD$({M{eIIhdb=w)Fjamig5=wwQf zOe5q@0S`a#UXJtcun#`3BK&ktuWcl=_T*h$W45p#&}Np>%^^D7cj)KRIV0h_G=1! zP;)K=X~Qu-!Q#{kYY|58KF0E*^-2$%sTTDjE8;*L(2=li;`ngtsl~1BjN#PCv`%X? zZv7rX=q=JMHJZBxoHG<1087x(?_7EwtIh{m4&+Z(qHOm~+G%Kk(aQtr44+xgX=kKm z&F8c4{3SmFXX{r?_A58Q95Om$s1UYtR3(*AwJJx2=xefG8zd_WB9esS4TihwY#|cQ zU8lMcd)W-@6l*YtECl!!QSYKINYdaC-9|Sdy9$; zHh0IzGgChBLCuQ8RHwFrU&xwqNi}fd!dn2;RFm=+QeSiwLRlU(`;cX&b}v1TyhDa1 za*%6vwpw_CQ0weSUNytu`+tr zZ->4V1n3(ywKne7s)r*v@v>%5GIea%_bUU44uS>cEg^31YDZ7_NqYL*Q73R-f z`B2S%6JbVKO1~T&uFDZ!Osnstwc{;H4s;SXe&KW?U(kI+{(2Fe8GBUof4`&4U$0gA zwgD_xA%@9$ZQNZIV=-U5=%&n?jR!M5f03r#GJh_qGXR#?iSUKVZ@*N)tXonaKt z$E4~j6v|We0mL2r?Tr!Hi7fnDZ$x0j?fCj~_LSoP%I5SD&pC@qXj@z_WFRUg z8o(%8q?qAgHhdJGEm%ibs`FHsmP0QS9d*CYtsE#EUix3sb}==1NtJaFv>Muc5}7Wd zmLh^+zo-B(<20+P*%z)r#Gk+#%Y$ZDJfviBam%W7rws*~F2mx|Wc!pt09KCN#42f| zhlmUL;&9Ejj-E?-gzh%V6U{aiBBOA^700zzRrTQ3P8=AFz?q024-g7`ofD`R$65TO zJ6_4K%~*eT)?v3sW-C^NIL?5UNM>+*BFYMab;st-X_`%KkJIq~_b6gMubF-w=YccW zX?KVl%rtKDgLs53Z;IGMwE9>-+H3)oMdWSzY;`e7KejDs()($VBq=*QAD6vgHCNOO z+30R5-;1Z6zfAL;%O{>9>fVYAfK!HLy;IHjU|!Bn(;&u~V_?C%aoLAQ&$h=z7WTz0 zB*TWqyYW9wST$jPn>`UgsfIEfC3j>q|3N`rL|MA-;4GD+s~I<+tG6@EGXpOv#u2}t zfm&Z-4}m11WpO}d1+ISnX@B3xi9ir<|z|6wpcRd z@ln&I6M>zH<}4AWJ~GX1$sC7rVez2AEuVi=+(Jlm;usPP%^wV%434V#NAI7T&P(K% zwK()1zilQ(X?l_LXDG%1<=GAWyzr_d^%Od<8C32dv9H5=>F=mJ1kts`-LdmOT<>Sc z>aRu16}@5^F${RDAQi=}AZunSM(WStHZh=~pE8k4j3nmdHLHZrMgkb?3!`1H);%W)jCNGy4srOPZyl$h&EgaO$Gxk=6zK zm}zk;<%?m{69W|Cj&Y6f*XEDHA0pd$3C*`@>cCFtDOR&{ZvboM)XZyvcxS}C&b$kj zg}nQEth4@&n1lPfxf*XTw$mAD;gT)6{@v)(n8tC!hv&lzUwa%)DE=oS%nxz7It>a( zUlX4WD`#Et*hQ?-={D_@T1f8{r>*<)g<49iPE26>4G#ivoM0Z>_DVtA%m{?sp7WpK!Ht#murkWL{>cBC`dixV^t)FR+S=zv6vA zZ9EgbjMX$8=PjxTt+({LsB3`OF@zqMJ{`)wV%jhd=B4Zm_+4_zi&uR;my@bOhH_DI zYYQ+P8v!1pA))Jkj|k8FA6f;=`~g`bC407Uo{%q-hy1SWj~f?8zxs|AH%>1bO5Bv%wnIoAAf%Q%*y@$9vU^GOI%gXwMpC9dwa<_%v)%*O}9$;OKxM zKXxYwe2@Hq4<~MlwxFJLuPMou#gofIQHqWX;2ycLXnqIEHV)FjCs@9e)rzEU^2vq> zyhJCr5y1Z{#CcgW1>jy7wuayO&KgSdS_}Yw*epemNkxbSHP#K2?Yw#aCn@I;pz3)M zO1c9TD=nr^+bC`oSHzfTLnn&jFnQ76{U$6puYO0GSezM)45}xvEN^TNQ z^HxtRRSxL3o~M_E)N`Sc;}nx20*8Hp@dK+V=%U24QiOkxx>*ZjqDu}#4|l;b!c7Su z;5Cmr#!cJar}2G1eYK6eJaRGY6XDBu`#&Pudaj4W%q`hDBXA6AuX{wOjoCf($LpK` z!MeGj4@p(IUOoPo*2E?;vy$CRGG8RN`toh662&*Gfp1g+zn7 z@~wF0J3?&Ew2;hsj_KiAD_-yCX3h?IP~_|ID<+yQcx(nFmqcj^?P~{* zwbD?lN!dZ~@G|t1?#p0<&i8}m`mG%2Q7}*3o+b1s!ocn-9I=}y8@X31W2=9!mF(w|xbAA$%fKRvUIaRaN z#L#Aa?qnc}ZEX`gM8S6BTgfrSlZ25~{Klnu`8;FRMax~~|p z?$lJwyjkv`n!+E(k1{6l(aS;fE}RJ&N(oo?>lU@-6NY|O=ww_UgpD1<6^rAoBSKJ8 z<-VXvDFCA);-JULZuCG=gi7xUdgr$3&I+!8vq|(dSr7!=F4!kOip!1WNoLjW32xBV zYT?T=mbbtb6!@VOg?s(I2)~;_mJH&SlHV~a_+i>KkUFjhIHGaSmvwv5BiCUJ>{^xd z7ipo0vSxPoEAO5vA|A0Gul_plN(5aG0Hay zR#TR*W>qg|8MSJqnu%?TN%OmWJ}=P#NnH!u!uMjq2u_G}we)&o_) z`q4~%E+rDni9>APZ_0kJ{$vGNrk(>;J=R+>mH8yi|jah^CuaaN@*>~f<*5Bp*}{JtwbC7b3!p4tnQ z=eVCpqI1nZOTvIvRDSRfVjn1r1@ZFtz|6hAjlKZD=Gl0R>b5#Vbj<{?@T2Cs$l{c9 z-xse^VvQcg}_tVv5qEKr+Qx^lEQJCw*`#kBJtPR+_fI zO2Y)w=hy0R#C8a(RdG$a49pb_Qxv3`9jJ}rDNCsnKasJw&V2*toZxz&+!rvA& z7IA^QjwCfZ-tbJESD?Cq|Ab3jfJrmkhu)y$#dDvVuUjtsDy`~)jfqWNK{C@ufs(wL zA9=gCUaJAso1vIIBc{292z6IuMHNA03=AijvPz98E5K@<@oZbRSODilAUk(^PopaHLy7S}H~BtA8RmBGGr?azqt^rg4U> z5-MVSB244ZigT?I`*VOJS}Y4eG5e*K6FLyyAY8{`#Xs)=&rI*`ja-7OoY*EL`>EUk zGb(UEBf!C)ZGn1CD1OA_ZMw_wnV*gCRhP$oQW0Xg0{CFjeR@375s)0>B8bN{-uDF+ zq;im&X@~+jm@j+oV=siJkH0&BQ5GbO8~6FqP{#C8(sZN9hnW4yeE=0t-=}{qByae% za21&~n>LV;rgFhq{{%8te(9FS8CNXV%FAa=Br)+h>&g4iKxE(ky3amSUryRRZ!1k6 zhavwlnTy%`flV(2+v19tHjgv`Dr+vhpK!b;4MX-51@alN1=4He-zRc1WvNfsQ2DOT17bVz(um>=!`b$sT`!*J9GEovf_R;O>L*JXh@>wwhj z0?SmD&YDRM*ZYdLRM2F^s@lan9inj6uQ-gxuo<9bK#QvW9}IUjzvP{WZc%L!{6UO| zuHnrvh6-R=wmI!mR|jz>V@D%eZEc1aV1JMnLdrZ)n%{iw8wH!m6q;gyvX=FQd;u_# zW5{3zYo8m{2h%P&jtKa+PX+gKn@0T^Qo}ktz7`OnkpHkdktft$Qm^m90^jLvZq7Gi zOxyR(kk>|7+VCt-B`evHQVA3iffx~7l;FX@z%A%ud+2I0>?siI49x|Z7L4KVF!}G zggdA%g=~<=q~csRSKs(%S`z*$k!qaZ62VbA-j>#rdvWXSS zbDtpDwoD`MCr!sxc2ADaEsZF9w8iocYM|BV-P4gADRA@K&>C)p0$ZVkF;>H`zY- zIOe>0seLafGK#d^EWe+X_JCUvXO)*E^0?6g@bi5Hj~b(F$_~ajF54zzt75x&rj#6% zQ|dwOKw|G0-7znhelJDFgHnKy*HS=`FX2|a{Xt@n2Zrz|hJ{uiKt_K-%k*GAMSxlx zAIz%WsPd8#2Dg-Q8heszfNSb)!1Dx#jKNXb_`OPByIW zSgs4k{noUPU8ehe^3Y3D>F&ifoV0g23roqtntc?*R`HB(LQ89YWw}#2o~DYDk;}mH znbCF<@Kjeep0|!Nq`BD%dj^w+Ceu|N0FY$J{TBB`VVtKI!o5IM0&g845gmyr0|%<1 zd@=GP0gqm%>Lh0lFg)pC-G`z&QSv|Zv}b74Vx(k9CjqCDOMQiLa8{>=LxMNM7VGC} z*6@ye)_aD)0*z90NP_vgm{{P5P5hg7ntD<1@mJVw`JUl=(Ab=K05F1Z+e1SI_Y4EH zc8{Vgft^9f{0O!gVEhAn>OaMBEJpzsx~7qN3ewoq!s22b6J0+Qb+WpXVtJ?+kd4fE z)-NhnS5ovTWFFaJX4iy^XAc~d-0G@@+c*uWj|g3)+WE(evC2S(htwf;_O1_9xop-kMLz zump05(Am`e_X|`3BhqmHGX)eiL09R$nh2Z3g&rU}+5bAIyG-Ng#WLlkE{Jw^v;<3< zAy29K)K2;r&GSlZNy<AHKvoCo1WwDW*_pl0uVw2NW(Phm9W_z$*i%&~B?eIEY^ zvLDAa>`1!y>Yi=Fpr|UaJygTti;Ef!R!(Pl>vQzq7PKvQ z(7_rYKA$Eq*ke&mUYa`nZu|k29sA@eLFiL+{}KunH2a~-u@HIE-Vg72dmz59TV+y| zz^)h?IbD3Cm%BrHW@nUJhCtBdW3sj6D#h1fC@p692BXIcdT&p7Oip-=e!u9H=BYRN z%boOO8TsMzq<8pZ;#h4oMP3grCq*~5lJFe%j-xZ9wf=OneHe3Z7{P919ePo}_aj=i-^0D20Rv zNJmg66BfzMPkvjVn+%+{Qyisa$PjHw<^UyO3x1dqLBQ-#^-`aB zYDdL2=25o*k7Xe7hu>@PX@2Wh5Gdyyz>Hrn1lK#z7p&6V0p1|0VkKB*gPIt0=|EsI zB4U>~)Ur z#Q>EXxJ%sudbLfu%M=4Q7i{KDM}h(N2)^UCY~rlgWxC4GLE3|Co?Y2prLlV?-pw_oRg z-|ZI?80eBOLlFQT7aP`Q++Ot!61SX?GTk~~rw?zRF`lGe2wAT~vEM(img&8eeVYGW za?VELmylLfG38{7VLx&8Hu~8CN<4j!3Z)TwqpRUZ(dLH5$Dn2Sf?gT?tCH>^FqNVze4Ro0eI&2KTi z2s0#?^Uk@_<>STP!zvklt!zQs&ANn6hH3QxqLRV1S^R^uYvNn;{I{|B5DyN_n}*l{ zhl4a~sQRoKU3#_Dk?>ay^`>Bj@3-vEfHKlPS!->{))(*hArkZtbT&;z%BT0RUWTCf z=tJ^yey+YMaW_!>lOic@RyB(i9djrnFL$IZq+jfQ{lVf-X^Ns7nq#Ll-nTVgHzbO2 z*And${JJ^ok^?a&_!S#Tw-W511-?y6M%OPMnCzM*F$#jk&~lP3<)HM!3-r++AQ}sS zo#eno`s}&z*gd-A6G6(rhJ5`aiM{lHW{S4PU*?e4*pVJj^{I-}M;HH|zBsEd|3&p;d_UX#0AAL3bgkB|dNi@Iaa$hnlOBGKEu z&>xoM;)l;M3yLn+)2uDs8D)x1h9yBF*j?PwN#m#PhJ)fRL{PS-!MS%Y0yXP$zMiAH z#+qr^+FUPP0l2pAD&0NR9|~M2xakbk4M*f=#v_e%UOjgxcVklpZ$Ug}A<4BPRB#8F z{cB42`oq}k$6~4g%EKwbNbRN~mLwbsQE2p+ZjG$ zKEn@qsiNPo?WRXJNWt%l4U$W-laX#|N>> zh!#Uf;8(P(rQL_r`81>n^kFpy=G-Y*DJ_}a29T%=OKqa*hcAX*!``8@kBpw>>!F92 zQ||Q~5HgZB+b2=W#_JTxz2bO%8Q0%%Cej7^mPLb@7|vHy*l+7~?FQccM?By8vrGY- zu9>OVy0hfiUV%ZzQ?d+aohgIMNqT24o}FqKnc{H-EcscM7&fAw-$T;Bx2G61Ot}y( zl(H0JQU_M|-p~yZN-2^wno3}h29rw=1_5P3Y5L00f>i#c7OTGTi0m%jkN~R}umt8& z`pIa7;l8>4El>B7u7}A~NTT5*FL@?{qAcPe4MlnmT}A)(B!o?wW9xg6l4yg1a*}R< zMUVXWG${rjI#RdGAfae^M3vzon=*~o4?$H>mbi##7!)T<4TLGE9!>(=U2zgoc9!xH zJuRhc;bK;zBuO8w*7D$*V4i`lor}IJfa#zj?XXzYLhRGQ=X|zboGmK#MTMQqthKnS998?>jFEkiJ(HA^#uw{=WLz}LA*BT3`tDE_u zD+SPo$=e1o(WJ#A4EM?9Wrz#Ks2_gj$)&>eQ-b4Z%J@O&t9s7If33TSmS=FWB9 za8|6JCVX1MTngR4<|O1_)F0I;5lN+LQqsplZS&Ig?_>!2iv|?z#~#> z-d;GWe73vzLSu(T4~s=smwYO`rG5VKZ&Y2B`qT<~J%OL^8?{PN(-YR36lG<@IuX>_ z9g4H)LB8@&T@bE6N-Qz?v#xVQwy6jCrPl0M!*4Fd6#2C`su#m)@0v=;D;^lu`W_e-Gdph?eAyQURTy^67zibDvPT{&2 z#Ome6h8u(oY>WBPWb2KyHNWrZULvR`Ka=E?ERt_f`Zq>L=}a?xpm*xuBj;_u5nP*) zn#Q(0N0nO`{}~XY30z9{7n_R9Pyb^XkYG+N|>h5GqjAu@B-#2BYR=dH0zQ_6Hc3b36-Ta+Sz9%x+AN+hD zA6~z7tT?D<6*k~<%q4%{7-H-(a?EAxpn?PT&o?>TJ-arreRRvL1-qqgM&?y_EMw{pokO^LU16;FlC02W$QpiNi9N@ zl`0A{B*+K?87_ztAuXLA5JSu+`}c)<^I5ab1KUY7Q^~Z0t>h|F#YwhrN5_s|NGgmzxZae z$}Iii(zn0mm-q#zs=N?guD|U51$jyJN7UOZ`!;RZ9bJ=EAKipV+e&(0J|xQT!94J8 zoZ$3`b~VPIRNPYN)!vaKYT5|?L9-wR57&vAl_fSwd?|UTr>Ex});YD)KhxR#N4^c; zc`n2%{lPc>gP-Qa?CV@KX(VksVdfq+hM@ALcp0ADarO!5)-WwkuED8CtdaBzGjPMwSe>4gZ(0f&_7Eap{Rg*T_)O12NbNZ_KOwz202 z^-D8Q9L9J|a_f`{)b)X#XO=>`FOtflhs=io4V;9MnP#&h)O%6ISm!h2$`}tmAUUM7 zhd|Vmqn1^|X3b^Q=Z|-K^C6HW`I%0T?^~Mahbtp#&vq-)a@wv0_A8|DvNqDPfjgtF zHql_lQWRVtKf-rOG_^BiQJU7c?{{(eCuJsL?5j@e^iW$_;1~XH%nP>d2WD)sYi`*6 z<*MyC*??XUn^CAm+^$PDW-LUZ1bu@F)3Hc_9s;S4F0J+INj!8t27KbisFr%x)gS@A9!i~>F+DmE z#Uo+PNhdymd~Z8N^Dh-IoOXgfZm5c%CpJ`*$x0usmuIiG#29b_*@`-s14GT@LfwMc zd~ZNbSLnSzsYjI{|LRdLfTUYWz5!QFo@47GOzY?Y$ud)e2b@@YG4<2O+e$p=3I2UJ z%TD1e{GWS>Tl!4?w1a6OKunZ%$X zh9`#YnT+WrB$zCb0yK%f1-iOBe)UH5ZH^Po?|bjzZK#&T3lau))okMY7IYhNP7)P1}ih_VQ;Heo3oMEB@i_6>Z_` zV02w#vXKyZ(MWm`jt;CrEs*t7jSY$Z6kByNo|KF?&a3#J6?3P3D0t4P`}~YG2~0tU zDY5-hhj9tqIzQp@w1yaS^ppY{$+*q-v>W=t+wQNB5-KDX@1>Yi#N%Jr@aGkB_U$ea zXzLKj>kxGwaEA9tQ9CtONQhi*;4WlXEG6^QAP`gQ~z;_=#lnFN7jCplN52?bfW*u6cZHpnS>o)b{8g!&cjGw-1tk zC>5Veew}Hps{xwbWrXfKYTw3+N?E#xg($)aDmZ*2>0I4J?*x(lw4o24=m&nU<23pI zv7dj~BEI#${LkfoPf5G<oJ`HIeX?bdI9m_w9;QVm4HkVs=FYu>o2B?oc8(c_rHeCXWy-XDgVnJ#DgX) zfK2X^R_#?C_Z{ZHx|56xtvk7q15SulzcM*rtP}Y@s?|Fb$`skr$0PaviN$3MS!BA+ z!%{bemt}8%bH~t;^xhHFVd^Aift$V59y0OPyr9Wlrv0ihCZhg+ILf7dT9zcNixZA+eb=T+}u8dkp&B z4w(2U$k3ACtS;MV;w7L0!e84y{jUsv@uQ{x0&mjeM0$aTg_>0l$ z99Nk^!t1exv+S17FA<*dJu|LpuhV9f-J^^3>K;!`a@n!_hEZykeX=NN&{$Z;?yv)= zo|T_uE`n^l0K0ifec6YsDGBu9=10u%c$`|T+DV_<}UKz zrIDSQ`$+7HwRBld9Ebm!RMy=lGQBt%76U$>{FC%8Xb>-(MhG<&y)u_1iQ1=H1-TNlA9()VSph)lPHebfBU_uVW}${ zLcE8#;KK!3eT_A`%Dx8XJyJL_q#Q^N(!WkNsns78T zL?o{P5I5B7A5di&ljuW5R=3d<$D-p!dgH4iax*_ZD576~P5lWN^si}hLNL8bN)Qi- z>~B0h1#?XtYmn>Kc$o6-Hrqig4b!;i0j5>z9xUC2Z>)>&wT27S!rTeG+|<|;PdED5 z$IdzlO!+X)Z>cZ7+Z+$6C-rc_q&{V5TJQ@$g}Y%WoK)z}XHMf1xKIf1y&vc@_0dMu zv!>~k6OvEClmK~L(Jz{l@2p{I28j(*4zE@@dW1v>un(r;Pf?ioa3xw}c!k1{d*vAx zrmO;h9a*-T$oG2u^L;MlW{%p6lars zmu7IVgV4iRqkv^e-Z&q+7oMHbYRy7HmTQ8DWO=PV4yt8xs}=+guN{moHNBeXoB-O2 zP!oPs8ucm){GPSr&XnBP`gNlSvqP3Wir^m~F(nVlcUwrk>CJ=T-Y7=+xWkScCfHCj zPzWbCevs~5kW_uUgahHOno~~xRfh$rFgkek_}2^z`z=l&&=NzFIY`WKCNWvu+r+L= z@Y}#l6uOvOH{rV)>B*_VeR0vTXWN2t;%J@5BMA1#0>3s8#B}A?V}k+Ju-pa^`^u1=Q&Z z`*}-E);3?b$p3T5k_(xOAhn`9;*cKTLtrZe@+SSFC?-0?JWl@t0@=NGpNSY{^zGcNt==rNedv~Lr>EdLh5M@`H%9wbMpSr@VIQ6r0%zVk}JHCeL|Ez zAbKX!kaTt8hY9|8DEDX8{QeYH$x<3pozjO=dc#=}ji=3w8ojRvE2L2&zQOCtVbJ)d z_PTcqAdl;7t5KDfVayzInj4RkE+Y7C)iVDaQt32Pi81LT#l2L*ZAYEUk{t0W$QmE{ z+PQf{PadrVPsOpl`qX6|)n#e(>+6&Jp_Lz|;T0%2y`n~s*={u9fOsE`>U&NSj~Tji zAnSi)Jmh!{I|MYbG|qfN)likbAjz{@x9tldZnV15&}5)xmn^$TglwwTy{QHS4Ktdd zbS>h3Dp58>wTuqVrPi}=k7yr_H*{_pf?IpFv%+fK{(k+$dRmnJ@02>n?A(}a&lnG6 zxOzw|@BV)9&v6N_LE#ydZb=40JQes4T|kS4Ffzm%XBbdXXWB)P)X{`?WV_J$dqJBI z`IGM*dmLXQ^Y#zN^om1NKr zAdtVJjF%x6H<|kH&^q_+zxWJoTT6IlJIpXf&4N7km@--}sjZ|D1>Z@CUq@ZVVSm6t z3jK+TYos8EWK2jI6^>_*rdfZV4`puYM)$|BtGJM}f9e)IJ{d~yzrc{38qveI?+3&Y zyZ+wk?`dnX3n7zs@||b9@5IO<)sQ?j575qTZ(_w{4e{ey z&aHB3BZ)qxj=QBbeqaE_?(0zi%uSZ@F6bnY^O`BBX+bG!Iq|HE4BExj!0ppf$j4Q4 zG~1dU$a%>@o{-$NLc{S>%71`g(Sro%*MyCb$Ci2bl2^(~Z zIj{(x*ZfQDHFqzIBV0uMye#J>$?@WCCK`+me_=Ef$nd{UVrH5hKbsPntVeqO#+v|^Dg%$IzF<_U+!_lmQIwA->pQA29dFBVfIZFHARom14s zZD<}3QCIXEK83`33w65^Xf4S(9+opha=wxEEib!gf@!I&;7hv|ksM%UsXX~SW(VF99)2fhQ0{o$Usgauk1}ktZxn=;xgfOmK-9VM}JCB{=32i)59ca(B ze`Zc5Xg6_8UxC?cNb3v+AYCQ=UyuEm`hUf)DGW!~*j!#x&eWPLnt4*-q4uK84|4V{ zM*cgP-y?_A`%Fc1X&>@e&m&R&FdDpCa*N~&simoRT=jN_tl24jXld?tFxV{_Z|`ggqS08_S??o0)IB;g&pIE$eu(Ay97ABsF)#W zD#cObEit1UDv(%gjYQHr;zeeR$xv%b8`2DrkQlR&gz42T98W88rJ66iO>dn@3m|JQGWg;01Xk{J zB6H{g-2j&vyJ>R^4+sZ9ToB|?Py8jER^>UDqCNHt#Bg;T%yOnz=9$QA6txWN+9tv! z=m>!;wv>|$mdi6tWnw#VZap|+)vdwvXL4tdFjA|=Uu2*`S7Ki$gHJWTS+{^2o2S#C ze2Dz5t}5d2XA%$rLMDrpbD(c-T>NXQm4@Pz1&o$ST?9OYQ*AyX$ZQt{w*n5=Fb~X+ zVve_u*dS+h-?zM%f>ah*ZWGNWX z*LcX;q$7fiZIIf|ilJx4Mcdc>UMF=huG{X*&aLB^Ew!?(T6YvrgyiKZYGrmH{0;%V z3q+#(O^a?)jmO>JtKCL0kfi(|xB>)u9x*hAWJ!+N1A_V$F^|_k0p6rXqd$Q( z-5Z}5r+)nE3NTT8Bcy}c0JE_sVw(QBba8$L_xOFK4FCBOfZ@#N?b9qz!9c#9Xi(QB$1Xps(<4_L@4l=6J?loKbeU@wZyz(C~Juv1{(+H{S?Lo zPU21(Dd`Bm;oV;32>FfI{m5|k61XkLnGEsBReuF3eqmVZks}5(s|TMcCs@vD>p9;h zC$vp$Le7i&_u(&modAp$Z56cMr3SAg9TbEY6{TcPaJ%MQ%K8nYwoDC!{M?5)3#N$2 z+4sQ^2=OW)Z2(`_Cv}1X$C@VR!p-P^Y&qML_u+&$(*LGBe|)`EaH}O>Rkei2X+fPa zG8y9)v%8byd*$w~EnsY@&~`f(%FyZfWbt^@I74}VDjVOdZLv5()*z&~vmN&X7eHcD zYR*K!67h{a#Tlz80fJo$^8iy;>P{ARVurMyV9h}&b+@X|*y+j%bGh>$&;fRr{*uWW zOqr+yz&o&cMaf(M0w?{Zr{6|t3}8ibS@$Hf0a!56xP^c8Z(YUi%FsGfQ;EETo!DNz zC_RIijGmZUO{Bf91r+<+{%bIho87enz;%DW_AHTjCQzU}@{18AosYQBLfgr$bn)FF zjx5nk%>cA*LxL8$Hrcc!SGBW`irWQ&44)7Rz?~xzi*rT`am>1j{n{Evu4U!lI@ z#twynm!o~K$wVL1I@q2MplasFS$Wd~!L_8sIRRo<8~O7OA6MU`&R@J)(3$(&w?W$T z*`I>Nz?>AaO7gP#S2f3@*^Y6DGyB+Q_W8uVU}(L@3ez#uhJ|f!vLJ0k=^}ZxXs_%R zmdLZBBJ|BYMdX?uN}Zs6l9b$Tts4^iEdsOLw|(Fle*OXeA znaB$QXjVZN@$fH_*6uW2$&?(e~VT^o>eMTN-@DDy%@UW%%Ge{*C|H{XHSeq@lS7YGeI4!m2!-IIO zurNP>7Zjn4_1!Y3rs5xL%RoF6{bk|N5wQeJB6DD(w!hkVk0`UvHw5d0h1~Da_bIU! zryTGdNSEm}95elY-XA*|ZTDGHQA13W7XL#8tCTSsmC5{tMUuk)N}OI5J3in)x8ab< zLLF#v{uOZE!W-u#f6$9Nte*}ntoLhlMiW~__`%W9Ce5pAjB-INc{=edY27}{*h+qY zZCU-cY0v~g5EC}JQIfiAgbq>zV@ROqdvI4#uj{}b!r76j5YYGPyEVBkFYVi2Q&R^( z)H+&@(FTJ)>vm{5Y(AvVGe25QSKr$blPnep(qAQrG?@if_JjEFldc$u|GhGh%Ee&L zzs};k$lsTW%fXg2Je)k0k&619o8n(cT3+Dj@$Y#A(cA4tQsGMXoX7tF6V)kt(jg`;(q zHS!h?%v3deP-6;j zIai8Y5Q{%;R~slWhy<2lL00l2dG^p=+(Jm~PaYE7B&q|860A?j_V4E3?kw()8p`-| zbPp-%TT?;gW|(Y~Z2`m>gik*F;U8)Kmg)a@G`_-T{gx4C|KAXnbWxb`Z;3RSTFe$` z47CZP$zTs%4z?nSdm{T;r_2d7ei1B}M3-kzbPFO|cCGZ!RlI(QnQJcf21m$4z}On# zd#3rl=YTh2zD$7>@5lc)-hg!+H-qq)aS&tf3HF)`##8_BZhSSn>Tzb8^Q436coQ_CjH~w zlT?QK5sI%bLjDW#OAy#Ph8Xwbi5@&>dh_4beKz1023$V8gxJbX8n?X47^f_S6u-jF z)r7;ldCm&AvQHrCo0_*4Jyn?+tt8Q}y)>C1%6ombH#FOvbL^DCuW5Fk z+oZ+fmN`=Y3^%_S(0dsjwfxo?2AlD$E!$arM;1lRU~!U8f#`Z})Ncz?tV+%XCYc;e zJG+R@ZJ)w71I-pu!?TR!78zkCpJ-<*RsEeZM-kIJ=gC4M)=v|ib*4DN&Q|Y zhq=kc9a;ACwfx)-*zXvurh88Ev`dMX=VBFD+>~63I|u^bSoLW=)*tc7=pL5cTt}i( z7ZqXRlAKqYz+QRmu1R1{>#topYYO*UQ+@nfmn98?poeZIY@RxEgr5D02TkmBHfX}n z?zlhF+2aAnC()c!_P3Xwt*cEai@PuQ?Tn8BM5py@58CQvCja6YTM}5w>2LMaB>T0` zxL^yAxo60|vWwT|4VHME`3czK8vla=`Th=Sj#sd1-W9xTJ|EBDf-!7yyx;75vU5{f zXODl#MSGkzHzsxGY&-aS+ef7uo7qEn_VObpWIOy=6I1;$-_{d^6j|C>p;=FEhi1LS z?|B=roUM7YnW^~@nl-Yi{Ntd~!V9bsvfh=2W?2?*^xLrrn6)ea7^Hw+$U(ywVaBd~ zTvh(@g*xzU5asg6(&cRIN|AXWG;9BJ@zCd#P5_fD7wL4NS@`F&ypU^8+v)2raG_;? zS|8iY;uOS6gA#V!Frv71K+nT|+ixqn#7$iGBjUL9LhyW(=B@daU*lfQ2to)t%CJ;M)wlJx3#hmjxoAdFEFV$?9K{B9CCs+R8Oj4}Oqp1f<3TDg|P+1Qs)5fFJ?>fH6I4C(uXC}a8v^OVYDy6^s-u6N=rJS(#+iE%GJXh1N@*0`qgx*fj}IH7eKGNF^X0A?`Y)+ z=G%qKMUF>H(3nedV9jWv5E^G_*JhnZdMpZK{kofxrg^r!!npe#RVR}_WR23+A5GE^ zi#J^5Qv!^s7Sq({G>{-H%23fUu>THN=a?Z{@`^MaJ< zN?pGUw0OZi724S@z`)rdycW2DR;hyb;dm?d9PQCx()aG#aMj#xSf^xdd`FIWf4q)@ zM7`%Dz1%Id{CM@RrrFZfhS+*k7QjOqXizsZ#HM4Og08s=FK{ z>4U;ecK%5^wU3zgA@AkvL>6gsAS+KVo#{Ej?6S;uT|$e<`aq`r z4AkcNBYq<17^@XnAuIKvRjRXU^_|1P+Xeh#WN92cYg?h>l6k-U)ih}v&w>r`x*kF~ zu(-YV+?YkDzxs6XF+BcZ=>YW629TU1;)^O9z5Sa@Ely#Y3Pk1+Sesk)2=}X+o#9-y5a{A|8_4RLZs5!-!zm ztpivey2KLg8;tRBM^^hjriqa)5C+|yTVYTdW}DW?fAIY4mY0{zO8JaMWGMJC@>JbkGdKRgu})Vwgv z_nY-x+WouuV>Z8&-;K8iWQQT&8@PdQ1MvA%2TWV9&wm8_q=0mYYp-10D5r?3W` z2UY?+aoR&d%y~dp7J5^q^cAbq&8RPFfv+;r^}dVHU-29|RGY4|$87EKD+}ekfwJsz zOSv0Wws3i;aXUqojk_TuFrgH;cj1h%Fy9H`a8Gjz6J6W`sxHC8i&g{@(tI~}bvTxf z-{AI&v6w4alGGIzhT|REpOo^+mhm;C-d`EgzA>@_?*N5eQQPCMBR%i&#b!d72Cp)> zFw)YV%O*B+JQdfT64=h}u2{@9#dvns%0g+?81ym+nhQu$*BeOjccndEw((U4Qbdxz z?uD&gwBo2npvcoskP@c_Ka!km)1PBEnkPQDpE+-rS4ATvhDDq1ye|3QdO>AZpf`{Xs=}gg zU}M(AuN8<_NJwL}nr`Io?uA1Wc(qselg}0FFPvs?mdM<%hu}n>LsV6>2c~zxx?i1C zRrX4JT{0WcMY~Kej5YlsYaS3K!_mt}yXDoJr8uX5lc*EB!pQ$FpgO)|y1So=%!}B= zis^AE6no@zc>sUP7uFX#gr$eb8}3AVUZV|lenCMsVhC5PQ?rD=-RzIQ`{yfzO-iw zr$jO~s&H?9J}*h}*a5rlQdO-bdC!D*1G6#Cg6-4i2+Z(l!y((EQa3oK<#WJj6F%i90wpmsL-KEF#vesbpga(=qsdtKmN*_8nxH=Si23%%LX z64zSSeO%CoQ}5D+V2Y?c+UQzE&n5J6;xAjURfwDGLh|I2%#J57!F(M#BunPzs|~P0 z!2{vje(||xRYbAf3-R6d{HdD>(DA6ffg`{r`Cw;g9?D~pqdw&B@rJQHN@JC(&GVM1 z%GznUK7-#dZs*cZn^4nDlh&yo)5BUMPxtJ{)}k}$0#jx7`s0y6<*Z-a&X^!UE;mc^>OUV%%hP#eOZJD@WWdJgS4_U4=p#ycqMK`u~%$qrKNej z%Q&{OLOpSaw1=~4&@)V+D3m^=!QI(n<2Q1>kePv4maBd?sKh0gRZkHLqz*z9^h>4n zX$n&x3{~v5QiUwK-|kyw=`nTPJSJi&Y{=8#^Zqc#$60Ol@qMZ?UQxB>@6HQPRQ!nF z*-XLYst?~=-?}RU{#LYk+vt`s!KRXSGJ9a+_Cb8zlyO=(8}4lbvy3Q3m|kenmNu}^ zh0;{3VNj`0b!te;DVPc}H5c{lGa;Li6!}bXS!wE+g!W6{bzKy0J-W@=vst0eh_wrR zd&rmNMSgF*_b6tALU0F7tHajmDCNuwonZi{%LUt4ua`NsKr_SGAFe%ZC<{?9XjUhd zQCaaTCo*wn)(2bgU?RWl6}7}_f1m=%Z|9~80c?kAihHzE+!&-yWz)XtiekrXct`Er z339CsB_bN!e(D=7)PTkY_prUN#FK+jUM7` z9hBK^M7~o58TzuFY7Wv1#Ev-9_G=iflG@o)qh1cnEiph1+QHLDtC`R%=FPHJ-m<_o zK!{e9_)cNSx&#z(I|?2G^sAZz^~s119sP>Yi?aB`o;3j9P?A?8US4*|O$FymJF`{h zT~XXp&c4iZ7!FN&NbXxs4mvdj=5HR`Q|q5836R z^aAzTFz%BdExO^RpXE~LD_NaW$Ery@c}ZH}Q8}U}6>%I!iqO$h$zCK+cagIp+h3D^ z(D&cymK7Ynyy(7XqT0cetLLdt;nx46&3-ljz5nX?U3EaRlPf@XptY28?>Fc2aJfg| zyJY6W-gSe8asK35e*~E5Mgv|j37BjCV2|7a- z`C-08#bsC26<-kN*|)X^UwwKAh{0jbD{*z?jqFx)0D-a8S(P%?=n%zVcBDyl;X7jb zy~=)mjvX@Hs;ofXJ~u%-FHa|58$QTs4&hqBy>Aa zm5gNnLJ>J@Bb^0cAzP!Jdaf1QzHvRE)z3j_q$CTCV}%CZ!x($(}m3$x@I~e#Cc^Hol^hw=Co?vd?g(=?^+BSP;am7oLgUu`?W5k-cNw z)4Kkld42oxPH7x+s{I`vSOxIpy|YY0%=7(XY*loHYF0ICv3I)kG4?$5$2FY&5?#S* z0|;V!xb$G2eovNdb4hi}aSN48YWG9Xrb7ZO#JDD8r7={=stNva4Ztye-26(6Qnn|S z6Htz$-ImJ3Kn8c?Rjr4P)}`M2oSY!K=S6Y446MJL4&720(WONZNIcQzSNaStPBOFx z@L9+4U1w?ZE4ww_;Z=vBWUGgR&-dDVGc(WIZMdpNv*`$x^zd`r;k$~%?*nJ3awG*X29?)4DPXjkKPFnctb1_4 z`zb{}6bb!C64+)BqnNl-iMBLMou#yR?rDo>p?3>_<%;yNvFwo(h#O*7vut6Px<3(n zCH+T2g5^#HDZtyFDs}+2(w^0mef{i@9pc{OWd^d@zPe|Qyp&6K5Q%t>Xo}8tM7s>F zJ$<*y)VkFJ4UnEB+`E_1EMN0HO3mEsT%p&{xbv93WHVtQ{)y zG^yhdIWRl5^@{cvO67f8nq`$CJ@NTQf%G9cuTcEub*t~p<@%e_AnAzjMmVU3YRhe~ zA)^aW`jwPcD2u9aZ&#H6T3t%s{PYE>Kyxo80wbzFYeQ+2$P#w9ZkFgq9TdQ-#Vn zV}bxTAsgu_JAmz1`emR@PhOgDwk>P#BbTkij9+tOM8ve9y@5c4-v+6FzjoOaZux0M zV=cBu+VKIA#V@|=l4pz1Y5Q^*kw<;EXM^_)vqwks$yQG{0C~9<`JvTdy^Vb1e zw-V>gFB(mJX!SitrkY%lo-kF4&9o?Ft>BXR=64*>byNcxr$AHGyvNBdDPn3lCD;QJ zpKIuWnP*#RX*U##?M8W+x_?KE$KbN7q!65KA3M)=f|?gV{#uaRY%ZB}xvH@JBz;za z`;ZR*sSBt`xxMwySU5e$XU$tyx!W}diSoJ^?7h_ec_z=aUX9zqen)2 zg8zec(FZQO`jm;@K*TXOb%kpE3XGdpnBoZIN%HJ|)$DdfWi`Vwst0;tToB!pUzsv; zIr~GewRTTyuWs;TeP@kn?|H8}1uIaak+as9=KJFjsm~%-8J0^_P6Jv<|rPGj^D5{m4%2wyg5{wKj_>fk^=NW!0wNEf>RoQ=^KbAenCzZ7Iby8J>=pf<`yrsb!8 z^`{5P-<9&KrSx>C(p|Si4aDol+m)PU2}X8q$xNxGKQhLKe+kc@B6qZc!V7khIM~>o zP}QTB;Xj3=E^ zZ@iiwvz$idmv5#mz9DNq1>E4@zR#9!lqC9~xtW!!UB(?#?DxeRX{xM{60F(}H?XS} zoo~c}xp5}nbgP3oI)Edjin1y*(Z~Cs!Lz;E(e)~xp=+YnFPJ5s; z&l~}JN+CD`>|L0QYBtm8=LM+W@xw3vwZqY~pat3QI>%FVif;Sjxz=ISzilFpi!xmip3{ zq$R)Pag^=?rdABar^c`q7d(lg@;bv+rIBR#9m$+rYTw1<;NEiSwp-lwFL?@*x*bqO zhFF^~4cpluwn*+|Dc zvgyeunB-sr|DJe*vZ0%f@F;Jv!1a{;B3bVwfZ^D>udL8E#&o-6M zN#(6qI9Dpl(Bv^R`NKmoK-RR{4Et>zZ#i8&Xx0-9T75~uAu*9O?P~@5jSD%|Y(e65 zV!$|!l}PN_VjFwX6{-GBsT#+Cf7?r@`3CbT2u&n)3_YsMhrq?-9>Gs4PzO`~8+K5r9=%f*EDg1+2tkUXQNs&1O`3ffqdViw_h6G>8H$O|44JDE(=0_=&a zOtZ3*_#_u&xC&dVP*f7N=gwFLBChHcE7;063b?FWED?9@{wS+|jP(}Q!lH3LLWvWPn3i{*aM1oOnk*ue$O|JIakeBUK<#Y0X%jCOYgl>* zj`9_SJzdF_=%d)$NT`>xQfx6iM7F&f2_ePASo8VT%l1h9J7A4e;S0;s)5y9kGFbx) zHk&9MRk2z{&g#Ey55?KGa%Jsuu8nR}iNdCHV3w(^WxA!d?Jz*Un4^XBTggloo@{v1 z!Zze~O7uiL*7~%VtgcWRooz3nq#i+@-bN=#eS64ViO9rg1X<1l^ylmyp$aIe8_Icu zrCgQCOfl9=V!BBUb+%c#h;(&1&HPGfRQSp+Q_Yh^oS`CuWOgL0N+MR#UCmc>%S?YR zcJ}(I2VqdWn*I1HH^%y>)KBp)7nUpG6JCBsWqo`n<@QBVV{~IuxHP~4Zu>pr03lTc zTyS{qVox6VjLJ4Y4fVFAf$HQ886XmbSh6iX{2{roTnC1eX Z5NmjkhGt>jy(HU^TM<7GHaR##{y*z$1@`~| literal 0 HcmV?d00001 diff --git a/data_application/88soils/soils_ph_rf.RData b/data_application/88soils/soils_ph_rf.RData new file mode 100644 index 0000000000000000000000000000000000000000..1ae9d1e57855f374af094357fcbaf31720ecbcae GIT binary patch literal 54546 zcmX7vc|4ox`u~4N7pAH>)1s=r;C-=*OgVURA8<=6tC_JZ8 z&YTWn63Np|ZJpRZOXWL;_g?=y!hwEp`3z)OJKkDD%QMkMW8?GDeLJsoA44wb4O#@? zb}Q!j=}@JJHkYw@?VU8sDXeZ?HFqLq^nu{rgYR{PnQ}Q*Y0i-xJ8|MfGY1&tATFC|SmcF9M<2nBgq@$yb}_Zqo}l4#t5}kV)-z-gRx^N* zw_gofRVp5VFC}fhp^1bSl_Gb3r(@$h(o-{E)ALL(=Lp$ z`{VbZh;t^OOpAiaUAz`<6c=Y{O1P~Fm9jf=+mFtE3hZW2025N zMslIjiBE}LB<6BJ&cTj^Ag921(dJ}6(;gFWW_v-?&p5kx zBR>tU1C|Ui{C@@S5Q<7U<7SplH=^D-z#I`%_t?riVI78&qZ`?*!R%gGzVaLhCQlt| zE6;soZh*>4IR7w;ir*GCt)(>Y>Op1O!L&q=CYXBWY0}AsW5gYa$k&htsXFR-J;*0w z%EPqkQdZd@G}*#1@3?_p)%@>q2oVM;Njy>tHdnZk(8SXcUyUq$-sE=3G^!k%Qln=v z<8ws7Zt^Bv5Oz5xY^oo~y=uAG?`!r_WtH%B$hR>Pw;5$fBfjM$q9Q08KOJG!vRz&s zEa6yr@tm!#av#}lb~>lVBZ|)yiW^d_11U$c)IF~;W|%st9!D}iu6dKuH0y@1~G9&USRUv+Z&^DKB01HFS>{ZUUn_LKSAV7?E|^JhNvu`=%c%ay)SO2a;`8 z#$udV$4^w?lU{hSd^2}N73_9SNDYcr-gt>x&C`S^sTVQs7rd)&Q|;I74!bG z%vZ!r-dpqN?19htJz+Anx zbN$s3L_-{S*G!8)h|S^9U2dU!Cx=#DPQ?Gf!9?B9GDK+ltv6L&rXZgTX_|ET7VP0R zu3SneOpGSGtz*`kV}^>{G1jocRHLGz!(=r_-~BU#ddQ+*_*lO0s{NNRXD=X&chf8@0u)i`uZ8_0l>LoE-b4 zoG|&7H!IsJm{oSPKFOf2*i^QD&cT2(n+qBQuO`LB^PW$8E}^~LR&2Esm~sY;*y*JI z#>Ue;4!Vb0jI${D0;QKK85+nz?>MuPHRtWYVtoX=FkKmbPqI5(^*L*9TGIq_vl+2C zE$+1HbGFkO1dkQLH22r$vC~5MnU{V`ymp2AmXQ*Ut4@<9c$7p(b?deFvT`uXw#OskaFCGg%>FhNX(v1CaDS^QG+8?>mNkhaV z79h6|Q$RC`nMvl{;~Nj^G1)G?zI>z^u_}$ibMmN8Q?PP_7nz=m>=WTrm26~!rLwZrCEHu17-93jhuRuq*rAyWBy(_ zYcQvE;yF30!wREMTFV`@~FGl9!mPFOVOCuG?joYE(+(a#aLY73HE7Va-axvLW6{d_|sWkExVVo!2uz8W12Aj zxpXDH`VzVaXh^ZZ>&m{RE2i64XQ~yx+D7^J(BKKzxwZvc=fC$$?mxX9_T!*oI!s6x z{Sl29RCl~_f$lL5fj0B;)iw(5T3*5f+wIZlSJ#1VwH+)>l>|VtoZ;O>NHcP}aWh2M zqg0>6`-Ha$KZ!o4{!tvu?rO1W(@YB4Z4g9noFddJK#p}SlX$irSI5Pnk4k>KBz8Hf9EwW^g26*@G4J znY;SVw|mc4?}fPW`Hvtqmykn-!bFh@UpUQeItdJz$E z!vXM4Pf4R{a@VS8KCIsTQTX`ttT**0lPBiet+!GA)k0wHq{Bp|p0ayDNAx(NrX*$D z9s_}#m*Y!h)ra_(J6I%4#O<04UR{YZ zxNrP@INPmZ3pm^lG>0#Ytx~n8J@6ZJ5}4Ay9}DuXOw*)#EC*k zZ!SbG4pcA3B|A3HnDCaJtq;S9?8ua(b9*5Qxv#Y2k^deuo9mk(Ki)%Y(jt!7XyT*? zJU2l@KmVo!e0MZqqS*F|CpV5MeaBd&*eVX@UTxw|H_qnze{BM^_6g3{g9OD0Llgi~ z{AV|(_G*%BrIRr7c?RJFw!<>^2>)lOz`M%*C2?!n^%l<`8xwN)<*%#t-j!X_`mFgP{f=7p zB-iq#3f_8~%&Dg3y|lA*Ee3{}4ujLm#0%Gx>XtcYozmOUlOmAtlW!nr@lzkeyBO>{6>;>0jw)C)UTSqr;#;lh#Ol>aBGl(N`<}n3!U>d zoihJ&2V&LERzsAN+c{WSUz}xrR(y8vm-;Nsucp7*GyJs^pPc!ui7(RTOh2(jd-i|i z&lBHidc1I%GdK^X23|j=Dv5x0iK6v!qG&@Fp5|7R7l1!O^rwYCNi{3^JB_%8IGNJz zq$@8y(l^tUgFm&ct8o~RW$!gjz!y3dfdyGtE-k-z>;!vGq&LX#c}+l9>)poyk*m$& zZjV-`Unhct!yRgXRi;<5w#>a-LW{qx@2a4>1euCobypnMYa0C9L&4BSZC%v`ui~zm zKe4-wkxF{6wLxPR$?n&s!8WeGtU{09sR>oce1*JUZC@K#M+Un!C{lniZ7>I$(x>T4 z?Zx{RoU~1|3&5TD=d%P8$T{u`(`UgO6Ywd6v(%zR{MrwcmYr15>-zcEmwJ9kmoAOc zG@*O@GkYU4<)LY7A4Mimfq4i`;H{0T3Cb$_F+CZbDk<*bnrK3#M14Uewy5d&ngSV` zmKkn~(!$ePw<3-v>6%`r;HX`V&NX%%C$g|nCd z6Fs$8xqLEcdTCYuh>bGZ@d3^aPCnt)ZmUM}*o_;xPl5pg<3{8)B$Xrjqw8B1q9dJ))ka(l#kM{*Tu2-ew&vW|QCQ$#3)^S|-TEXMbWO@c^|$e&SOxxEQ77iNgzJvR+H+31N~@i$vYdt) zXd*YViA)?}y050(#%(#;xcZQONmgx!?p#am3V++Y^}=qw=5h}Mm=9cTIC*ZGAIX{I z#%DR%vk?3!3}ogU2Y4YI?#^iR4WoA`Da@b;6Om?gPBGijz@Eo4BU;{UPj7uUYeO-eK1~x~$8s)L?}=i9d%gNcNqBT>C7pW!sGFBO*#WD2+C`C@?{Pve^PDk%U76PYJ=1B3skK9O z)SO`oHTu>54lvX+ie_xcU-zhxWSkrRfLY&*xC&J7!EoDX+vL~VZ?Kb+GbnDNU&$!O zs-&%DImZVizP+|P(6AUsdEwD+70qGcS>B}Jj?;0gW|SA6T+9Tzjgh7IWUOPgSre3b z=K^Do?UmUR;;3B|ycDTdh3z#k%bI^d+Dom0OZP2Sm&t+(jk^2_jJ?X|wQ^bq)1fe{ z0$|e^T|38*4yd!$^IS+Zt~FMNv8OhirLL=+HpElgi<-p2E}#>vr@#|R&c`KXV$b`0 z-pPk)k#oY=uHNGPn^i4|1Y{0)Y1?>g-Q6ePZKBZ|_MW~wW9Zhz8X2;Z1>$@yZxxMw zh&Fw#kwB;;(nAcZ9sZucc1xDih~j*AT~VIP5dVKekMjUN6cUbp7hq zZA0D!Bxmo{YtoLQS$RfkzoyAS=pMqYVW)*HZlCr`$og)-8rpZQyF}k9Aurvrm}nK) zI19n`0MeehWza(=zq^HO3gPVD(yCHLK$?H%PAmAj5~`tVbapQye;5DL0x=Wt&dl}^ z;pz0x88qzCb?jfrSIAPG_m00=Y{bd|o-VYkgi@0MV{@GDC@m;-77rfZ9WiAHpIX+~HFwZg9{l3tzWc-=C(VFw$c z3fRyc&W_ydh1B(|zi|$HacgxW*!gq?-;}(;&nf;L^e`5RBsz!8>Dw^U`8(+lK~30E z{-7ql2lF4WT~paqo3x`~d`O@x>vD8;ZmQB#P57>2!;3w+8Bqw5dEPJQGM5L(cfwzJ zU(0Iv9<0#dT-ff?=RZ=YDuT}LY;Ke-U<8)jk0@x%2(Q1?}xGVg^M!`{$3ZoM(@7yzCzQrf4Q!l($VPX zrg8_sMu)(=8@baXNMqQTbMCZrU;&l#R=zi#h=$Z$MwYp+Zutyg&Y=!rwox0CKDN5Co$g12wh<0}nMaK7wMA!C&>DsPFdYzH{jL7~$~GbApLNFz>CVNxQY!iP(!8&KjL*l=8OrEw!lz%h(w` z<*~dEjUF8CYTwKo%9`8_6CF;4yiHU*GYlZ564Kx;+pwEoH)r_W*997sgKF86PkKy5 z%XN*%AOrTL{>ixMx7jIvGbk6JgE?+!K{tPgWbqCFlH!EtgT&~gxUG}_9F9VFiM0R0 zXcJyYR~d?tHqC2sjW`bL?yT&1w{od0E@5d$f_jhnB%w$mApPYI;K2hR)cX$}>wD}0 z2D+(1un34v2QtwX=-Pkxd~i|HW)+|r{y-S2*Co+DP9Xm3*V@(}(JB>Vn2|LPJe zPqN1rOP0%^=dW}1q3)G{YijpR=v%^?3&;C`9Tj%Cs;=9wTk*Yk%9dPKEZMyah>mH@ zWhm#Pr{dfI=*lrqEUgS-Psl928#@C}lC^kOAoJn#moIF~ekX0U5W&Sv6OY-4(2|78 z(h&*Z#8CZrEe`1N{p@q*9B5}Z_6V&yA8*1Yh9P9 z5#l_SRdnxJ&!%*K%Ty7?s?vNeXaSJ4raA_Pi0|Nt!ZYW+i*cJL>i78xYv1}R$ZYs< z17L`Lz*N61x;LI^s#C9p8zBDTJgZkt=3iSE=S9|gR{)Q({wy7z`*_UOlSjLAU-^Cb zgxlA#@`GUU({d1ya7_C3fD@iT*HA+E$>zY0Htjco)SwXOa5D z&7a4Asz!5+@w>5u1tE#>C@WvR@HrFvV`Tn>J%%0=k0g_d88>s@73x)g1sapF4K znZDh$3;*+dBeZd{u3#~U*{O{Q0vaLEiQun$@jBeghh2-C-ZpXi<`Egd0AYLG5d)$C zc1>k@<*YQrqe-^;qr_J+Hop0wRhWJSQ3`mt0sV;?8%Ln9yy%Od@F_wF2J?Amqk5>` zIrjASiY9oZMi1ks&tVNEObN&HcWd_(ct;Ue-yJK<2~D@phY!unZt+H)^<$!!P-a1( zn>^+Ls7Q@4OrbfvHgu)+n-0odzN@Dw;XE%QJux4?;9_b*CJ}<<{jFctmNyrpDmgl` zL(TUZBw38Pv@Vg7`CY%uW-$tI?e2u22$7(swCz*HyF~VNZ)mh0H-6OTaYBtDqhdBef95 z$6rRU>(Z5K*+vG_+9flOL{78$%J$IjkiuqicWBvTAG;J~qN+Z$i5c zDpVWKsCx$8{aqsEj)!(+eLz81vZCl)?PkFOkKCLS(o*9 zr-{hI+Qw+NvG41`p%ta`4q3lO`LGnpQ3yVe-d(hTjkQx)J+tCIx-2!BQhGZ5mRXb& zXpdJxvnZ$OQ!EQw<&_PJFSu2jCL!fddQ5XlLgVgY*y{BIpq+o+FuI0hWjC^*DnJW=Heq)}Iv+;Np%(OuF&lPDI9^q?YsZ)jM_UG;0>BpG+$zqHTl}I34*3 zUR=di{Acr`SoTNAVaHLQQt*xN=9x-D`Pj#e1Z}MYpv>zzk0m=af((2P*a!Z)+~0I? z{F+P3#P+j;gMsKcknA{p>|%+@EhcaF*$C!qls4G9V?N<)Ci#^Oa$mOIXUZIk3rZ*d zp})ks7eYA?BCBWC7UdGSbR@h1Cb)}Jlc6rfrlrPWV=*hdocHH zAnL=h%5XcthVl(ZmJAZo8I3+d7!ZW~rh}JC_aP?|6ov_^@MNIrExK#t@RE|BDn-?V zSU(`@OZm*4zkDZi5$eHsxoNmq@mlU%^f2|OUkW@Ec141 zIabMtCsHzoKFTv;bpiISKFH7R!hn~OCz?Qu`dNd(T`48F``LZ7{4@XaH8TPv32Obi z7r%mJHj2g~MZK+GrBz!dYeF~afx*t6>iIV|38hViRWkyH(wd-bXayw2&zC)kgxcJ6 zRnqFlHdaI1I6&A; z%ogj&2q*lg>biWF?B{-7ku!lQO7MhC7V^p)0hQoM7lk4iA@lg)Bf4RMws4hj2)gOG zKsc!%Fp#*+;*Ia|%Ic1mG}Zy8aGpDl#@WIX9muD)zkZMVRKt<|>2FQvh@A*uV;Ys5 zLa^ryZJasNE$WJuJoPSubB!`+>_$Nh7}FYWR~R#=*zZPUw<;XEhWdkM>afT)2KtTv z9-3ZV_U1H53=2c7*5%%{MGyY6zLn@bAGNd|N9OV=P6!_8wL!HJ-K8YpWoSD3{%74!(Z0V;ZZx(Uj0doD}lJGGKMqdLkBN7Ge zrP4rsh+xJl$OKq_ZiRZ4#BO3l$!u+1r)q$dJowmR=#G$H-60D&M8iuxLfrY{u4C7_ zzRlI*i=a&bAUS3dHX2Eh0(u0-`f}}hT*%8jOW9nrl-DQ)l`E^~@z0}8bv6p&i*NUl zez~=I5*KqDll1W3;%Tf2fw^_=gZ6mB74BWqP5?@Z9mN2LUjE&~2a_Xn<}}Xo5b>|X z7z`a{=8oaZ{!9c71?i&R7q;%Cvcg+#3J(TfZQugIH|KS-L%OL>ep;(pIP+aG9=@|CY~ysXzEiOK>fV?u9)|Sbqa?6LA03vqNQf!78#dRIimy?+9AQK7;se4x z%YyKw&|{pP00YnR5adMp+Y`><$8-V@=Rn@j)j(V`7t{dir10if#ONgJW$?-Qp+|Xi zxYOA9ytZP_LIJX;ZBBwv3uhjy7w(knR+0=8O6i&~_6!n;xW)}Kj3kX9LS|7;!%h@Z zQppNm=Ww_F1HB#vB@eI%sDr(a>jks9k0CGac)B;Ftp}QUqyLv(1tG-k*xYIE#ig=~ zfZ5;I^paat8MKg8VF-+9*d`#}-MG2Y+2RE6&bG5AnmDg5;un}y^OFHmVa@E{$u0YG zowr$`myRSiX6~c<70lTO$v7h6=@8XdM{xg)9VPufm32?DIR@AjZMx#~pzsNd0LDtT zEiM9Vg9C)L-L{>_>GJoQ2~3}LRAfTrt_5PT?lM9W#|WjP{}+|>ts?L zyu<>uZiL5*$}|S!dN*B}@U~hGt#MGJ_a(=2gd!0NMl=cM{c zhx^*NkEW;b*U-4!y;||`9!qSuLtXf2YhyuPy}1HcO@GnIeU3prZ3@dFV=L#S=&{Z?e3f5xM_#(`~&kY)lwaV{vMRM1h&FKJLf zdGY#Ak9&-A+n_a>A#RDNL>!f275&*X0R)9^As6G$|7A$So@DpTTTX)rhS8MUH0MBv zrN+e%p?fWjyjWVfL{ZKC!``@a2cZPEBM@Dcxxb4o$)2SD5HgFtrGTt*jp9!bg+1X% z1B#l6s~30D4|w*4qNiv1CyB3uyO!S;&UQ(GEd=a{Q8*96m!-xjsPWwa0$!BOyu0EV zeGUFesK-rZW|k@B)qBm)*L^ep@?xJLZw1-GK4pVPrZi2md-1Om6p^Ht?mh9EUG$9e zwB+O~`$!%oW3LUS=LNBIutxDCxab_9gP7gYk7h*YbEU%8&)z0D!q8uC8|?IXP^+s3d)&i0&U)1 ztJ-VhjAZyRz7$((;nr}0R3IHd0wD$870*4cRNV6GslXPAz&4af`FFXV>1*3+-vtcJ zG48f5)3ROO4@ap|dCo@@o}BqDu>(xyEJ+5(Li67&-1IwCSy+7;sn-9Bh+6moO*m?i zaiotd%>CuuA~+eyR08vr{bxO=D$~&v5y^r~Uwlbx@GEyB54ocXy^Id=TQKhAUQ~S) zwChVu>R68&X^0`ZZzds|eb5Fb5nRn3$I?DbQpznn&jhd@h}&+&VW28KWuNGqCmNCI zf|s;dzv)a{YfDcM2{0|2bF0Qk1{o$Hj443eQ`gtEQj$YXZ1_I{bmjHJX?j+D>QT>m zS|#7%LC}SrU7q`Bm35gDOlk>HK_c?E>i6M_pMtH4(G5pc7)G7=aRjDIRB1>Y?rF{n zEu00;{oFL_MartUgOzoYGqKj~ZpnY%C0>O)Xe?!8k)erZQ3T>gzy{aey~fb2+yGk< zhu*WTDs7iosq1?~K=s2HR4ra`rDex{W|};=SM{Pcg3*9ixO>f9{BKrfb;+(a6mXQ; ziD+CWAXI${$5U?{T55?SO3DLnu8AA~NMvn$&^6idfSOwj$6>gs(!%#FOi*lKPyNT& z%3l4xh$|U?N_eA~D8S|8Z%iKX9P&+}`WWvtlGf^LLErFQo zn4Kh6reo=Z#}Vt1@!rY8thQ};{q6&TOiCj2SsDA1sCT~>FJ&(%kb;Xa1A z-E7?2uJr*NFAst2kd&2yS-In7UL2Yiei%SLE+-_K0MNv-@ODs0j;*6*H^+a*X=_$C z24C;3euj#k50u-GS3l|Svtw`Err;CK68$T1^e{UW?hMKCqD?}1x}_!*hFq+(VRVlM zG)3ZL=A{0KJR8P&cB6sZ=$^~T;Vg8(EhS}oroWNPa|aRGG}dQaX0^jU`i-xm@4_W~ zM(#>+nVb2R#~#xfU{#RuKy+AJV7r25qpoyVsoFHMxbBH5SHNE)U^UF$=ivbIpcR{r zU{=~vVWNwr(dT~Cfqatq8TXsA?e1c?M139&8j3j}^!wcdLBMjP{L`!kwQR8;Khr_q zlj*TtxA-be^=-W>)vbf~0@mM1t9DdYJ?M#q7Y}UFuv6(76=HHS%B^Nw_7lK8E^ zkgQ5cmI69iSJ0z%UpaFvDa{kFL21eTS^poWNSU1FCWz>1gws8Jr*BG%POSXV_h7Zr z%r7M>!IKDQU{~%RbO8XSl6+a2ew8Z4uN*zJQ;cL{u?P@ITKabq3q=J4kwN_5{KlYK zpvB(=Jhili(lOSTqTEOAlG9jy#60v0)2@Rgmc%ZUMiVj*)B*uJkZ1MAY^=?{e~A`o zD7*`Ux1$m;lZOU5aTJT%t)ZnBXIx8MDH`n8f{b59m8*j`M{sAh{~me}_vj4%6p5ND z^f_+-vUM`za+GjqAe490+fu?4xq@#}+nN+pE^|a0Y$>p`T&{ubXxFxZ^tv+b<0G_kz+#A`mTMcXFT>?-O{c&dRrbV4HXONwHLQD z6Pep_o3yXO!kAC6ml8R^N6FDcHE!IH=bS|MRj%)O6>&FX(9o7VVz1e? zYw7LNRJ|>p2p+k08_|l%bzMikYm+{7#2lCPG$?F|p9cOf7wFXCIv$1<2LOtY3s(2E z9P*crYJt!OATBSbc+z*xu2r8pxD1&m79);O{n*=IK$26{#S7Mt2C)vYz;9B z3M6}oYvd28;W=%f<0U*K7Gum1r1I2n))R~10>0Mu=-#B@@${Pet*wr3@H{}~xD@86 zRg4!H!{q7-SI=!>lU1Yix)PXm$)K<;egL{+!)e&w0V3z6%|V}6*Y8KAC4Qp?^tuwB zK*A6wRr{Pi6UmgV*x@AFGOL&*MI~n~x!w}D>>$(6WwsRjOu+q$u%yi{esw@Bp8b4+ z$iU9RmPY44=M*>iHj=@LGThol9fR+?W(Gbg+y$b~!Jpxg$AJW3tIwnNELr{?`IN-z zaX9_#Ud?w9($J)M^(98Qhc9Sl5y;co#Il-GOXeqV!y(gl84Vj&BwHoy(+qgqdTjLJ z?vTT9){*NaHQFWr(I=tSy&Ez?1r2-mhb@vd*VGS~GM>Ug8GmG`=f@nNPV>s|OB>Z5-<&1Z(o4gDp|eOa*6M`MaSe;R;cMOi83e#;RhLw^KC%m|(i|TO zc;|vJxQ(bom2Opf&X8nhgt>UI=LJV9QWNfYuJ7$jGF|(0^}bUsFf`qEA8qh0bn?QU z`GQqzG97_lIE=3g8asL1&`&v4-I4WAeyzP;nWONmPUu0r%q!1zCDDjc4MZs=Wte32 zx9K}=$^yZICcL|1FjXDoNIWkIG~mA|snQj{I(+R4KG$FHU$|Twx&=Vj;`1bhfq3*R zj9nNGaKYITHD$`5_U-{Z*hMWs4DszMuvr#ei))k;54@Q-4Lmw8YP1C!tQy2LJ!|YG zCV8pMIbGTHje>8R2!DaHRMu8qxD&Y(xT;k&Nk{sr{*~<9S1r||fLFZN-50*OPisG4 z40H|-monF}4O(tRO%Or(i}MPX8`n#~^8mFxDZT~JS(D?>IT26Of~T+%PaJ;QIJdL}B$EB|8U;d_?+r zzSlY*R=@9No;s|$RAvoTeHxcDLb#Clhp~CcImxtVmNCGW0rf6iN7k&#kpy^P} zt)*W`jURk2UxrD}64&5*r(4bg)Ug}jLSS?BDGy`g)PZHH0not8{HX}7Z zlYGD>$#7d~2lkI;?raJYa*8w$Nd5#b%vvUeFok$K&i^i8D3x`0dRwvpy^kDc{TJmKD>qUk*a_=_#g#YOWcVddUNse_58kamRy7~d-=n&m zu5ABYN|=6~tau3fhH4@|M+pNy6%hqPW;tWXdZtgbyS%wR!vu{f6 zMV|lCw;wTMjsgaOFL0=WbT@sSp4cm4EK&C=v!H?fAp91oX+5MR3Ira1UJ(IIR7(}w z#WufMooA14X~C1n$K_$ULC*HqqDp_iCg+$Si)rl)Y`?uLCi{g(hWYD5LzD8`RI4WV~t&G2N;Mcc>vL?-t2V&>`Xr|P)1tSHR2ceIwgNv=tv^YwR& z>dAQ(8R&lR_Fw`20S;JRd-6VN|*CK!$BAQ*C? zCg?g*m^yc-refBRBmM%f_!i4P-|8|d!+=h>z>?$G*vR}{;=PUkco52|SOhb63Lv=w z?X+;wTC3XWaAA>gRk zvMkYM{!*|$et53?1%6m~tV+f7MP-sg>;WO@Ng~0=pYrtQrXATCNRttBA2;O7oqzU37OPl2l5v*xXqsPtT|}M3Yl^&Yt$`Kf%_)%lCLC&X}`1sE)&2pz!jz3=wt(+Yy~fE7x;^# z&(F65#F*Qu?Z0d6x-|&e0;zewn2S0hHwU`7NB+V1Y3vAa@yt?uXHJ~gx{zd4pQLzI zhH^LxAatikEUTEQf!!P5(q8~dN6KM|3)QlDZRU*<1H`{HHXk>T@ zS0}WbZ++eDfGgpLqR0K|^MzT$A1aXsO(s!kH15ZZYN5-G&SXm!hFu=nQ^4k!2ArvfXPJDH9LX(^e2ZkzmNV_j!Ibvu&RyY2u;r7 zUGm0-qhv|6$ajWJy!_B{EQw+SWWVPT6REd0&B1&B28$x}abM#syb1rq0y%ftGGKGN z^j`FASJjR%rJ~`u4F`+DBq-SQgWG~qLuZ!B%m#(DFG~rgwtu0|p zLMyEaKD%|-e>o+4;B`Vzff&GZQ7;Zw@wz|5$;GHnV^<6u;zxU9+v5!I0EdZVuXi?a zommfXtC*;cAED>W;57dh_+}(e?{Lm6mv!D%82hSZN5F($I0iVqnx|W0LK#lZA~h(g zDT#J_{mmc#+obiq|LVza#+Qsp+VZ70ZydYMq_Mz0gB9w(QiT8A+5AVkvanB1rrdEv zEz)*iq58NFg{eH68CkUYlJ>1{2mk1KoVPE#_jU;f?8Te6ccp#1pTymPSQb=`xow;d zxe*BzwF?s2M77+Jw+fkfBMG}RA=L9uk5?`as9TheHcIcbepNmXl0GZtG)h0nl0Wfc zrIAE5s34YZ&f47SEq5CFa`x+=Klv8ET);b({(WfK8w&PotnlR8zc%nRpP$?Xl+dS} zRjS^{@kA$PjBSS7Ef{Y(y?Hlp7FPPGYMY&KrQ|#*ol4o_m4XPvToPUj4>WUfiPyQz zrDY&8$#yByaCS3QuWiu}D1zb`>B2>Y#XIu9Z60!mH1~VnCCS!{DkmS?k7iEHv%PJ9 zOT16rimBh-a+%4OeXp_o#GKmF`G%UGu5EE|mix>eprTil!@V*2@aMm)FSVS-?S{bk z4VUgy0m|Tl^$*olt-|rR2(u5yn_u*|zUXU~{0+MKA39YZ5MD}>#|qEX)dZ05sQ1U9 z4#Bg~hRt`7n~m^d*0!CVC$k1C{rIsysHOMnLmOpD!8B_OK%alp@oULGr7K?D8O8&| z2dHp%Z+VnPj@1NR=L4;DxmR=u+?E7BsF{cnoQFv=L9dF101Q*wPtA1 zy=iVs6t&g2hZDmQYT`@!LzTrpl`Ju&^vBBd!(5YLLFHfYu}wwCK`e zcNHfKI(H|pY+f@usyQ4j+KRfYaF=6|tAyvmMloG;aGBmT3%p2!ZVGW4?e(PRsMAni z+s>D^)v~*jyW&SxEIABIZD$5z@)$OlSe`0!JW7@w z9|TyC&bwyCDL|8EjgXOkOJ$&MyYWT}<3Aq2rQJZYAd{{|@4SM-b3v-?o1ck$dEh+J z`MQwnIKr%ArBOI0<77l$vlP54MLPwHAe0p?x7 zy#iv9QPucHa`C|GBKOJoZSd4Ug^7?6E3 z;sHkU;XZ=szg3UzRsNrYe8AGillWatPq&sg{{SglgD$|ctZb5#>Je29yeDp4TUIx` z1qt772L{9Zo$}92&}u26)w&e($vh^L>Nwc>G+~MzIE*K;MwnjCe&t|5!2j^JaK0M2 z?aaT6MLPnt#wUH^+X!h%x6+2F!c6R8i_#;HK_vU!q&A)c0&o?Ej}`_+<6_Qdv4SfA z-eUNk|C(2_lUJerrINuseRR*pnrb^?i2Z1M%-W0?Ej~g>(V(M43XFgV1u@Y2ZK&{# zkRHzQ=e`%@g^DS&8!SS``}sl&5a?&T3^_39o`h!iz79<{LEMrLdM#YE9W21y3R2-l z1OsSM%$Rpk@Z#k-u|Dyyc^H!i7oF^OLYdc9Ek%%&th@eP%Tl3L!jqay_c`=mnn8>Q ztwRtfS5Q<5pzX@9AENEXpg#$L3eAxeD(6nl~GNA zjNPqLHOla3piMoBIEC(yIzT{b`xzp#N50;MPj1R?VI7;uc-;^`}fKB`7po-wdAd1LV z`&&XpUK=uxZUS<{!?+O}ad%P!>QKpp1_kJECK{NG&uRIn-*l>qXKF4fI%4Wd+k~dS zWgzCTy5hPcj5X3$1fG74HXyy9f$LTbImo#LGZ)es!Rv&FbVcy)OP+ z#$t3bGVW%hRMgEM2^jFQnvO2Ysu;6yiUFTMXyV@eiHL|ZG@p-L)t+hzPhp~@0Hiua3PA(56L}ktKj{P&<+ZiGzxfNgR8p{4%`(cnVv7|jj<K z&un1+Xz2fE>D=R)?*IRPeLCq#CsfK(SD|7Z$#EgME-IubvQ;h#u@7?EY`dgVNjj)q zCFYQXW>+!7W|bTw<}jAi7Q-;J+0o9wSD)|icJq(h&CPb>{d&Hh&&Turcue1~X@mX| z?|)YM655*?;t!u(vMca`3epkndx>a|A!vq)Yo$8?uBp|#a|^E=Zz9-L!#=m$R|h2J zczjLKZl|=5K7)}``j(M+&hV~5REBZ=j;>`_bmKt3Yx`R+nrCIzoS~Nl>PmyN0B#Ld z#*gbY{muqk(UkBe=yL~M>3$j39I0B?GC4HVu!D3h*qhu&-V-Q>q0)>s%_#@|UFm7b z4V>k?_pMJM7FCO+d%THS?t6_%xWgnesKl%@o zew($y(?Jj#f%Bh3J#o;5u2U;-+1dfo3Xs>7*XEQ(ag9x1uaptZ>0cx3(N)2qhRnMzqusgF>t<>PmB-f_ADmy zoMs1r0W?Wj0JK4{RZe2`OSYU}16P~-&HF~aIvpiio!RA`vk6U+oFP%(d98kyXG~r8 z+$}rk(mF;R6zXFek--EotNK)Cm&b)oZ4KY4x`;9@OwRx6dogHUr1vR=6mL_vNadC9X!68r44Jz%}*=t2TFg22IptT zyOU%JA0eFe-utfuRXcE{oNPSCf;?Go4ZH@Xo_5BChDi`)i6>2V^tZ;YnDcJHiM4bQ z;_k2v!54onU5mP4P(VxDG)Nc^&5e629gpV>d9k6{_0$Iwi5*tVLZQ7uM^w6A+XoUWD_3cKvJQi@?Qk zt;z992PNb5HGeIz&=RpLTqatagOCeJ~~lm4_SsHvH}`_&3oZR zk91(=8|#u`%^61f<&HOjhzs()OIhl0KRk|6WHVZ9N>XCy zZj^Y!x{LzDZCPC}De(P_hR?%dI8@r=rR%nLC54(LCO4%-+cEZ($me&h1$F#gP}2MK z{>%VjzZRT`Ya2oYxP8Th$Tj4Or^hwdOjyeDPqE82dW#fm`2b|EY%v1f_B#Ok=+h@9 z{56dwxvz_P)$p^}8Gol#KG0X@O^QvP*!y4f*M`a%pZm^Uqm}30)mxuKDV}%I%w`E6 zMo$q~3zmk(Q{5S~xITcG*RD)Gw&JeRel=wv0M5aBl90r2^%k-1FC295eO_Ly?WDK$ zu`|J5&VP=aA5X2ZrUd|YV^QkGyPD&vHEU%N`MZ+JnXHBBFAg~P0Wu<{Okf;L6USPM zf6UWshX6OWxV<1-w549R2OzRLWhP6a)B9&ye0WZ*adESE)N&1L3taL9tvzh$Ia+Cy z)K_EN01muOtRODZot}EIYmj30=uv%2Y>VFH9X!UdwimgEC9#Xw!4h6o0LQNpND$G! zMWjA?6v=KmFTg*HZz+#w%ijp5YLJ=3sQE(Dnc17iOphz7R|quz(Mg--ad?kN*|l(0 zYIAf8uX*V+I3%{nP;>iLs@Y@ou*ko&Rx*mg3pc6fhSD%G2T>2eF0~+!I6@qN?)X&rnlJ8TI2k7;;MHUq;)WsOVH--b&J&KS(bJ z;}{gs1#q4P>b%^eYpF6qt@NNlt!k)rh%6WFKWT`39t3eya3~KdLvWC{tK0@I6R*r@ z3nj6_FEplt2dV*0SW#1Oz<(Hsbig@((uo#Lgl`6?Z{ID=)&=2N>0JoZDH0YdKd;?#6C1DxN-6gRo9?hKo9KakC~X0M5XB z0MbqzMv@g)^^oi5bmIUhYTuz=%ey?XFgGXuAPo(ESKlzOClHUbI8I%aefM8My316D zIb|TXxNieeTr%jBkq3%yt<-O3;e0(T!6+iAX}(|cio7t9eiO(C zKg?>G-dsgv`UgVG2i%*NTjNR)P{YrD$F9zc8SSH!!M_;Hq>%6{4(Qe z<)t1@`b*k8!ucO%M+cHEqF}>a(^ZR*N>MYtOt{CxDq#pb^zio5jY-{XM$8@fxIQB_ zP&omV)@>1ybn>^Sps8b{f^-(48uByDkzc@5L^z>VbYWvHQ@$wUaxm<4He$pALpZaS zL;0LTDIW~29dA7n-Di|_Ca~VpkR_eXrGX)%T4zngCXM0-<{MYB{fhi+gTj%iO^+Pr zk}SYd+7T$?e2XYk;2@enTL8+1cQ>g9lnO-B)Qwm(Je#hnbBSv0t0<%_Is$TvHk0_p zRWWv8Q8=+_C2ImGpH|DA@R=60PX~nuS@f6Qj5)-%Rjk?Xftue~vd|>AuQ|^$yX3^t z(Baif{69OYw$B8=*fiJ~$fOI1rpYj57#szT@2byXCd)Oyw#H%%QpLIBx?u9$jTpPM z->qsV!r~l~wIFNu4!0PI-h{&D1?83cwxQg^u@BBXMw?bfD2uZZ(aw?GA>kJ8q+ek= zcVvz4W?G`bxc$MWt?r)y^zOCG-{~XymCqM?OM6!RURA*y9EWyvZr*>7^WHtcpZoWVwR~pM_w<%URD-dnN~bN#JhMQcK79k$s3uPOF{r(4;Vy z!ek5a8*ncb_YL)MQ;Vn3dv3u8Z`Q<@6wInFswkdb%vEnhiTxEV$rc@i!@#g&tx^9S z@9XKX*Jw##Y`AiH}W$B`t8=VrlUMyf4(qZJOH(h<4*ZX8U=S-s04n zpHz4@i(~={X+o6|vgfufZHOUzUn44O(gEp(;Lc(ur)Qn=kL6CQ(*`By za~y*i)(C6H8)hkI*A=Hv=B}g~kd6@^taU%|91(S0)1veo`o~`Xk}u6A99!zI=E8mI zSP^oxp6F7a#sC4SQma!NiUVI9bFnM*b5 zj-Zm_bFJh_)LFS(E(EMfYu~@y=2Y!$WMxj`{q$>8)vhdVwne=Nc-Uu6HA{pA)oEit z=g8`nvf|0{!~eoH21=$h>;Lqo%+LcXJZ+b ze@647SomU90fgOpq#-Fapn;OVQBzgTTFZ~xI-V!Ejo7j?|Rt~2+^Z_C30P(5;7BSVVPhgNgfT^^T05` zXRt0Rdi;LQR{LBKW0r(8U@5>BaFaLCvYk$nX_q5_Ti-`7cBl!^P{XDmOK5NGGXKW2 z^ULA9f`Epr1&oD;AI$14o)fgQ4S4sx^A~}F0GvL_)alZUQq7+%>AFqJGUlLBhP8Zt zf%?(^*yQpnGs>T#lvk)>OKRTu38J#x-TK#57!m<;Hb5{6M4(P?D$}-i$s>SvGpz7l zDoEh_fLY?$r=1Z<4>wWrpfMczK_!Zr#1&M6N zJFNGvJrAiJ^aarYL3dG))}lThDWt79dGEbCD5MWYk`C@gv=0D3Ii zuH=6Cc^m6*L&`}8c-0F+8>~0qLw4q&pBOj?t-+22ymrvu<}HY3Q;!zcQtp~}@eGpa%3Yy#9`Dq1`(Gdf*CgA?aq!YXJ=c$I$F^o}1*t_JPK0=wi~|`|3OI&t^xwOAcD_T2ym0k#?CU4WCgQ<0(6Dchy6){Y`<7 zbNP}tX*F6P5dmoPf?na)5|>g`o_#}PS<<`EZe^WUv^KC$*QGLxC3DV5hE{sw>-%H2 zga2vXGB;^&F~R)bJz$sHwVOg5g5LM%YloLpx87nNojG=Cb+$j!>z>}8Q>0p7&)SE# zL57{+ZUQDU=>qqKeXhSR$e0+VZFG+N%&S8Zg>SqCoES@9MeSO?t2Qt`9zO8|gvea>t#kgB2xwK< zuy2__WpyVHfe(aIzUz7QvCl5ofap2~>3^EUe;ujMFD%=$DEYg&s!gzk}QhjVWZ4N3S7MKyEq$M`VlLa=(LE;S+ z_uaYA;8MRm2)M#}n;R(y6|NTo99X6(E_A>Cn>=~{89HG9yOw!oB9O#fGT4OOjlG}` zpH+PN*Mhv2O5pjH!54FO%(w$|$2_9RWPO%Sz;ZvbyfdJJTUJN_*hcOzkUhsC$z#iZh`ivaTg%ufH@_E)9* zk9Tfk`ex*TUCi2#h7p-Hn`i3ZPo~0|hw6D(z`ouK=aZbY5e^`df%$8$D{ZT%FOVez=5a`w=sXT^0V|8T(foiHw9+7 zsp$Thl?Yq?>-(rDr6WFUx>w>z?EDszvC1KO4H6qp;)hr~7%@ox^`6VG_)@LySraGb zu!-Glko`e+UXyulLK1=e-o|#Ix$W$CZ$A-XVoz6V{00tQLMJo=gBc((_fmxy&0g3oJIw2B&$jmryf`*1vDm&YE|{Y89YBT zO{)-~CpRIsZWi7?GZPFZ=jg06?eBpj`b0Tues>KJa^0uiUr(~62?NXl!3gX{?XH#+ z=T;Je#~;>+p8SeT(zIrD(G0SU^h~60tRHMMfJlq=kK65jU`TL2>kwo^b05-u(0r{^ zt!xoNGq=I&fmu;rSu4NHxPp5ZWI*ktS*lY2)=u(w2 z_x}pU^kTT2`uySh$zE3H&J{}nkL{g*RIAzvy%rkG*h{G8t|Rk`4}%+~4mdzqs_A&< zsmKdq(wjY<@xn8R2$!jnsCPX4w_uz<-{7hgE!H;ddDDZK6SV@+2O2fpdAne24dC#m zr2VbM#!&4xq~Pm2qk^&(v7l&>6g!`F`F zRr%j?V%P*)u?NRx)>(<#=b&f(4^&$U2)W~!V0}0fzc{L(U+G_d@jrx35y5+B_z~Bv zPFMS@%*F!RKAn$A%a}CTw2akRTn;=rAj7LzTeBz3k{iFQKaIHn7l<2rc#-A6-$4TQ z7c+HmLwB7Ptk8`>$isRi)u|9CSs|ErN$u+@a~fJn8Q_<{F_A`Ys*1&)E=@7HGVh*}m#&VHw`yi8KSdLPC8-Q>}@1EoLcZK{4KfD*%()Y<_T$DKeaPf=uyIz(X zYNh92!a9Gc>t~ZG#Kh_``K$Dc{DFFB@Y)gY24NtA!tYA3E+4N99JK#$ON+Bhw&IORef0qii#VUWlF`6^=M%U!hZ%RXS&N;z;n@KLSTXBedc2%^ zON%M063yE{E4IPatK5qHUeXS(-L#&_keAM`|6k5Q#)p&oBBNq@ z;EI(e)B4+C{q>mbk`WuqGn`e-yr1IRozu)94Denav(}x9@FPa~yweo9KAPdK?ZtZ<9we(x5BRl$j&8h+-bKU&b-?YYIPZx9rW| zc+@0-#=FZ*sSBDnH|3ZWwF(er_ernNboDBdNffD=py7n(#l=cstXU3ZN1AQNP#lw_F z6{SR`rsPYoySkPY=KTr>S*Phm2`gX%^|OaP+^mo$;MwFcZkCQcdM@Q8=R%p2=I@Fz zz+h4d2x~x+ioU0Hp??L*F=1Cfx2t~-z{1-Kj82B?Re!)0*&N>*wM}RwpZc}_yALb0 zp)&6eC%_p`oA#f3g~@K=j|Ris@a2igEg+JOxtnC194oB>{`f^av$px|cU~rfRN+T0 zwqNuidId~rS6NC%5}wJ5RfT%F1F>%zly|FE3|R>uw?r zR{i0C3^2afKJZRKw@S94w0KXpF@r7^;3aq<5;mWB#ocgz2{DsRzC5FO&3hh3lx}B! zoO34>H-{#1e*b`+orkPJ**>4g=6KIttXUrKI`I|0{pGgv6r5`iKYCuU*+f=ETmLQ@@IT-9=mM- zwFrj1M;_h3q)@w0PoQ!ua>V3IG&=YKWKjE(n=UHErP*TZg#N75PkUN}1#e^?+~>?y z&9a&#HdnA~r2jD*6K|13)(e!HLsvp&*zIOBk*=kj^Q8%H(Z8;f<V;#5nT)SzJuWs>wV0UGk zK5pxm>iX^sj+dRv^Y`%@c4NRGcQHMj?Q(m``IzzAc6yF;>}3n5>>WtJ;BTP;K)EI7 z^lf*Jo<9bDNQcxA_AyHuqcQOj32U9n=JI$Y0$_5im1z!VQZD<-`ex!<5#? zL!|Q&8pK90P5yq|ZrfLecw|`P1A=z!eg!!X31@62ZRy4hi~eJ<$-z0{8tgQYUvsz? zY#L1?o|gEZoPfy!A(UU<2jm*3&ZI1osE$@#{qfqi=ULd|d^}0O_bf?&0F+XL!#7aGhrr+~>#(Uz0BC#j1$Zq6EzUpbW6( zGC9ArmUjw>(5ZjJ7*|QCjNS|Ww2)`%HHvBw{8y8XUlVCi@C0^R_T!>2sHI6zSC5;P?f@N?;xEC9TJP&G89pYc3 z7TBLaBy=_@nMMk72H)a4 z+mR!J$>Pc~C#I+F(lvKhDd$aWiNnVKD+d6UxW=x*>aR{K7&{W_0#e%BTp7JXJ0*ue zz)k89n6>_T2U8ul;_dOJ>3_+f6gN#gJE+@&a-KWY5IVZc`csA}wYfCgnU&O6ZkuEk z2A%L7{CMBjRr!i>p-<>XHpEQ)Y+O@T4wZmh-PT1~$nv0VQd zf@q;}tN|Oj%8VZdF_B3e=z`^9w~n~ToUmoL$NtT9^?z>efApG{1CUjHBbE{*;F>t$HD?@ zLVVH)n-i+0-!7fiL&p9h-?*K$BaDNHcE0U9GOK@2z@;O%auGIntZ8ozK=j59^l`O2 zU^Q12S9n#;F_-VV6VHo_j9J54r(C(@YNMA*_@%`$DVQC&ku`e+nK1A}{k@XVh+V$K zzom|koK=HG3)%t1)|;utz1tJF*4frK?+wJmjPHEd+vt4qA6o;l4XO3^dw$N~45v^U zb^-QxjV8v83-dzy4b-}2>5BV#Jwsu0DB2#%Jiu-)zCCA9+&Tf$4pWlcrgjO9Jj?aS zvqNu}7S#ND?AHKn!WzJeph7Nedk!LfR=W{O4)rPhtZ5%=luyyQ7 zGTUryeRS3%pkJBR&IB-cP5%R;0*&AkZ$}UVFRA?7S^Wp%DIhLrPX+S&_(R>cEiAPa z;L3_Apwumj4+*9vgwL0yhW{kL@?v{4_Y@9;ohOL=6_m*|=T#<@A8Br+cD?nnD$6Uu zV5RitC3JNZlyL?YCx@mU{7Ho0;NQFJw({Lg3vN&m<7j0(H(1zbPY^lfA zyzN7PmU5XOmTVMe)Vd0aRh(Ii3O6aP!GloxEqh%Qj@$PxLasl8 zaJQRmDx0q-D-BCdl*f8!7N~O0v~{c^z{l=Vr-}?2Zv=tkrNAJuP6^#W&UC0%ybQ%p zOh#UK;FPsxO9;{Sxqq~qnH;+nIsNSBFT2nlTt!@TU|*tft<=YJm~lSAH(I0j#wEMb z;G`4lcrEl!S8vsF4D?QqbR08Ma~StDQ5#!iL%Uvjo;-p-qhBnXHiS#?Iaz1a2DQEN zJMX#S2MoTig36}KXnLYgLCHYw_A&P~F#ty&a~FH%{P;{dRh79os;C-e>yK_XMD(qs z%s`pgvG+Z{c+rWxp@;KtvW^9VjIa=f99$xY3lYEy^#C8$=%pB!agw?l_l@^^Upn&D zUL5<@9Y${Tb?~$-IocxH?rM5zdR3m=SGuXW0f64Gh92|_VR6O5=cr#T($MHp2= zA#Mq(m0qU!LkXF4#py%hyx0Xt?JzSjyq)`7A4;i#k?4gL}DXe>>QJ0&q( zNO>lJ@1g~as*WrSB(GMsY;c<2(8ar#rzUrKyNvP}9_ulS73>AQE?nN!G;I0ptX|ks z4P?Dj+N-diynV5`J9EXlBNF2cRAEp7GQE(rDkX8$&_aN4T;jBH7u$=HIL*zU8WkYWNv{av-bCnm#8H?vWmo&IPy;wZ3!atiM?&C5%Lu(e{}U%La$rDP`#lU2iM; z4l3>rjo?yI$)HtI5+B~^#Ni5!7gV?1d{};(G{P$MJ@|2gF-^Y>jqjp|VreHG>c1xj z{N&BxR_`K|)3T?cds#ttxbX8&JLXk z)HQLv6E$aQa}TU?DQ443NLXn=*ffkj&$3g#k9(c?Fd-IC6k1W(5bD;jAD~MTRXWd-^^@Zatvb=;bE1V*S(Z8W~`bv!@9svt; zZSfW&_%2%F9(91j<>S6jCUe{OliJ8O(WZWUAx4Ms< zKu{p$0^2r0;x;eI+{p2cXw?#i^06x4;QB7*+G*HdbhTz(59U=^PWq1|^X zno%{A7y_trB!_0`jDs?o`;fP=t0ep`WIC3fP$+14J|!2a(2qG7^~fw;z*VGCbc?$T z=2h<-yGD)+D37OtDe}vCN1VlKUy;UQI^_Wk_e$b?S_|RIy`Qj3^5u`%PL8;jH(-s4 zgwc8{(SZFDr4lc5Ge)?%UjHyZ3X%3xdS6S^DPXCZ0oY9V3QwjAy^ zn2R>+lc4CtV{V*U6ZcwWr`qOhnwHh_h&C6KX~?H@Hd3kOV4ojFw^7|@x~0bIxlFfD z?c}ATUq(8nZxe4-z|z(9?m0rGJPLaf_gWjjcqQROWp#m2x&w!MEI}NHLIY_J9HBet zUg&$KToryZJ}OUgP(=BjNZL-{n_h60P>>$502l9FKrgjJyua~?*SFJWJo#A)!i~k$ z2hZ*i5jyh*qUaU8h)_8{c4Ry`_XgYpLdpsL_;gA?A#c`o_Ga!W3(aJwuZ8%4NqRyT zU0=lCPMGzWE!prIeN!8dP)tQ8m?yCQoXvgu!$XvFK>yX(28Vl?P;uMS6x>Ru+%c*j zx{K#yV$e-DdBENR8I`YDz@(*ohb6w8pFGUD)9kI@SCZv2sydvIGwa_>?QO-qoYz$q zBW2c{pD&7hB&1|(lw(?ojVZx}5cbv}?6IGAOWVZkWecf%pD6D(yOM#gtSYJ;Pn6kj z#N`k4g^jAVDsqcVU%7d6ExZTVQ@pLGU~>EOTVtExDwvN=l^>W-m42n<|08a$j8r?NneFdpUXhz+LbyAzC& z#~#bqi{LkDULN^Vf+rp3)%inRkv`*;<0ui~0IB}LNU>tcG{S6T@6_nZ>EPNIZztFN zcoEQ%=h{&I8mYZso?>1-l3U}a=&nywOv0UGYt-AX zroUj*)vZ^#{}2}73x`$XS|gvUCuWo{+|u4POj|7MfYwE9!)rUbXN&QrS?{f6w% zl^uz!r8)s8F^ByROtVw1ecX7Dh1usT-ieh27Q$NDu;xnj5=XXM9l?x>PM+(4F4TAI zH60gBdN1so{zjk+KB%&ejndVty=QkRf1h^xQ#tgYaY)^83a8j8l~@ikdnxkO3a1d6 zjr33K3Q_Vy`FDiEQQeAg(S9gNM#v7)axm(#j^l_zYQu5de_x@JU!^?UDTvWVV;|!G zlt0_)!wY-lCEKf@HnWMi9t;KQ4mxaTc!#jRr`cKmBu2w9 zvrr7!yVD6bhi6KD2FZTcd^M3QMt&+$zr4zh=XAYVPbq4 zO#{@(I6Ug3YMYOk@DluG+6bvn=H{TkD;3a@-;kmI?sAxT*m0c5R{thZ0&;Fa(C-X^Uvw(>hZW0^`iBBciDPD@CiD8)I)5{ zqTPg}5_(J-{oX{)4$`FAI4!4V;19k~lfzyCVXq-eS5_YSo~8I?W8tC4R^3@+N~v+Fpjam@DnKdK(sj7*{#+duG#&AO0S}pV_tGd^&mX zsO}*DjCNmSfKago)#aFqy~tmt5quJ?X!asTKAQWp85U`79?mY=WP6wusM-!8M*c&% zy2?{?G)lWpGPnXN@7mZ;u1ExAA^|lax3f61ViQ-^aNVRj! zW+!R0<&4fS2hpgTb11mVeVWyb|4V>;txUOos5Htg#$PaUTCzCj-eBEudOpMhURfD6 z!v7q3&$;U9RG30rNzv^G?KxJxJevmlEEh%QU`}dM+GcDuVMy$C+5U=zsZpqDZw=*5Q>C#DxRK^Al`cW%~wbZ>8o08vY5U$aRl5gHT;R8Q>vTmgS1P0VC(gpl%Y<9>=4=&Kv zdg{s+j3jThUzG+u0lImId?8iUl5Yds3Ckpu64-xenl(AN?M|)iP|g&Dby~uA)cH+SJH8Kdthdb>eVL`sN?OaU*@aVtcMz^(v^nHRO|y;cRHx zRLmx&)TgrCN?$^Ei+V*V&ei;d%$+iD?a)@s6dpAjFa{|X9A9;KN5Lcb)ecb2MqG_F zsImywh&J+;4e;(c#~$+S@GkJ)dUNjg2<+*M`ZH=fg+*uEWI5WW2k&&sp8kn6``6%r zc&fWUa--huts_aXCg#Awfw-S`Q^)bhAIEKNU{w663vGUZA9ag4`GC}4VbysNdsexN zjGSTWE010lUz^Dy(qD}y4h%goh^Tphcxl_nH4&QOvJ_4RZpnhG%o-a)wc;RZrYQq* z`z7_1?#4syaZUx9YxR~KDS4d~!*cLO9g@44(U&gN{&!7;_wkM;$`dyJ7YKyFMS-wXO1%xdL|OTGP^UMJ9K3}!VaQ%! zH$`yf%okK8qqKS&L+wo%`SUDaezmaL+Z$WF(?>Z_@`rpn%3>N8XXQIU%&t+NtXjoq zevtiviXf_ z*U5@!J%dPT-W{u~D(E$BC?aWpgG;s*I=pDrlsf( zV#@8cYAty3kLRSngtYXp>#O*adyjaWoc9N{MlsIlmkp25F^xI$-e3#VfSB(}znxrH4iqrCOtuYcgNZoOFO)t?o0th-Wq zWMMx#2>jOa&4`LZE~|Fw58Hrgh@l7OQ1=M*w)20;3sW2)NsSk#P&f34hGoE0<4I|O zuxr}L3}jMELZQbfFW1Kb(mct%?=~i2x3KH6d;=H3n4lU;tcUQQ3ULP01C(HHr?5f6 znIng>>LFOu?Nq(2-<3kMw@y#BjlvMsC)0^q6W!~08xiJ#9OCiNT%mgUI#N?U3u!py zFtvG*p!5=99tsF0tX9aSgtY=%D;j!+K2A$xbE@`s*gj&b69>IJ6O9C#8PMDpL6SQr z&0hCr;BQ9Y)=C2sHV7gKkEG?}y$-OOHyF4ccn1X7{>a|TonE~j$-U)0aIPP>BfTT; zv>B=C1mF^{;LB};MODczHs?;wNPB+(A?26!}^g~}_7R>VaDTQ+>J~09{ONxAn=vD6^?1lw# zE3v)_V~>yXw_1x6oj=Qg*zCvLz~_66%JXzRlTqW)`iCM^p0=24Y^KB40``jh})35g@}41XB`Clj$KI)9T%o zB#QtC`I|(oF+2FZbjf6aJ@bzC1V6#SS8+L^0Je;*7$&a~_Gjb-+Aiq7?abOvt+(B9 zuHGzIoc;qPD-ssZzhZaj%wT4*&Rz~(N)tr{&IrdmTCaCIE8q_g=~m}@E}F_Ba$Ad) z*Re}xXk#7U8%kK=n1R{&pprsI`hm{YtPZ(9y~)H3?vr3J7PTlePi@y9 zQAtemYQR{)H5qBC9J5*&Q6p`h0YNft_lg zVsy;)=P3K7-n>>}QT$(`Zu^6prVIwIDO9N1n*!^lXFARZgm?Wan#O|Hkcr+}8RO>ha%u+~_RL70b81M(ZiQA?WN05|>)v)t;WL{T$*mzVIXS zc*k6i-EI#c84r?a8|4NNgQpJ_qiAm4W0GQo{IIFAQ*}(|jdW4etK(DTtJThpg6fLm zxTCG|rAmFe&>m`-3?Gwos$flNpV9~7?P;R5*(vhsS=#ur~@D1BS_V!PuSxV@+Btt4rr5nFyIq9V47PMeHFV`#LtD?(I(jD zr;so)MkI}@AgHT?y@x-<{)4aBu%!lk@^Gj7K^TQUR1^33FySWlmLO{6Bwza9LixO0 zWw0wECfGpOFp!bZP@?8L2BERp+?FKv*dK@C?2`;x$3QYH5YI|IV?9Jc@-M~=GDsJ= zyLc&oHS{Wvqy(l^6A_UF(g5*6)(4N#614MM;?n_?geR2RPnV7q8V`}mF>yZ%CfUCA zuY<4QUMY~*S)pRf@oaYU;4V%uGWUV{FTLKp30y%Q!5wy=`)_jhWs8&<$91A^#cz`V zCtyZd#c>YTa37vpnl~YSpf(A>fwUgXX?B+oWqNQ!Et$+#_%5z7`uDQ9Ll1YCi4Rt<$J|wa*RMYMXQW3zyt>rDI|%(# z5a@A&O}`{~2_q*~RAfdn5{ZY*1R3f1>S(^JYUmrivv+EMBqS+JZ~>G9(~_|*qxJRL zat&u2&1EGG{q#$T%wRj)4zx+w$qbRf8ImE}0AfUXz3_7`=_?!BlXs)RN_r}0OEzA; z$e%D8pepMSB<}Pj>b_)w>FncuXO!wFZD|DmH%x@i`=!D4*Ge5R2eArKt$&68sTrTO zY2*}RG8J+g3qI-Axkk4BoVv-^f)+_RcDiFIdbe_;Ow=pvE@!q9leb8x>?GH?y$#3e zCKJ&swD3aqnTt>X&+$+W;l;>R=?h7p;Atl>JALNJbSu(ZGc)LWpH$4Q7VqZ2Dvh(z z73A$b-9Njl9RK6oecWw2%lXh`l)s=(>M7+KxYTRYX*K^jLkpiTWqa9=BteGKb-sD= z)_-~)=bFFN_4n&K^lOpk-O;d8&1R1cm>W=EehU}fS3YvwP;eFdThG&xV>Hp~3FW?N z$1G>W&-y$F9(6^0lQZPAz-;iGDea#g6`bqot4(B(a(DXl3>Bz1hE=|pvTVB`vzv&& zulD}TG+`9w5o8wG@+izjaU82x{VMt1*x+^TX-vPpt@1gfUmgB~!%g;%DQMk=PECO} z*7W1UAy;b<)yc9o78BQ0#j{&`%Z1^x+RmmL&0O`v>)Z&wD?cS4_x?YuGM(Uzx>}02 zH+aRJOBw7mr>=^?9wx66)#GpMi#|2K@3m?_EmFq;6?5v<%BiOe4>DSajK)hRQq zwb&Z5d3@)R6v`hM^2ZrYN*MRJtl#gOH`nou&JfW|xt1-eV_rhNN0d<40 zNU>X!jC{pTec~ImzT&zdi5HTOrj|{?)~?Q3`J+AiIc+HE zGJo>&0y%ER)a9W^4H)SXmSSFkpDw6@ja@Aq5?+=U{R0V{FHDhd)C~HKmt(ZxBH|8x zba$o;HHTi899=0ARM4-P{<{ivm-Rm}xpD&-y&Iml6Ok+TwzuaJ~SUaEzU*0X9c6q0mjPj~HmVWc*;>0U2nwu@DT^+eq_DM57A20kEB zlU6HpH~iqdWbTJ`q4sjfvZ#WZJa(pf0%1;orw2HbZ6C6tT`h4SS&Lcst)FD8CMOs-Amw1qO{(56SOLY-b6n3m6|}t{v*jt zLuMHJ>%5%KTpZ3kj<8=na{CKm?$1IU?nT0Obm!z}N=ed{1ze{5F!TDLt1nwkH{(wYAymG|%eZnddND=lkWsI0V_ zvhKv~?-yFzyycitQsT&9OS zPmJHEB^+g)MfhpOCzR?87uEcLVp%ZIpqPxsEYbq0|W8Zuj+c32wEQ%vM>pZyg{ovmIWnJ9qAS?cFY=GuG z5*qPh)bBk*8!lk*Of^a;!AZb=iGmI3FV z$&Ux@v(b`u-IT*(@y%XNo!{?3A1uW7xm@~uk*^swnvs-#deLRon#;3Uc_=YUT5q;(Z;Wgn*)sP;xPTD@8xdPnY)uY zE~b&c&oKEz#Fa`P>GgZu;52V!)rWU!v%4oFYE>7bjK7e-G_`kjT#ySGg!vTBs$3A4 zwTF1t_J3U&F|>aLH-;}x#pkIi-Gs}eoxo6I*>h-;+NvKiPNMDn`af>z@@}v+{0v+y zxP9Mo0SHEXC()c!eh%n@m1FSY>@nME-+ImseFJBHVHb4L3CoTmQdV%9B?W{**DwjW zDjz3hYS3SUjFz=vmGObtre#o>Q7$^e6QsQdJtE9C{G6<@HOb;JJF7Autx#ufWr{X5 zcbTfF;v3IsXw&cW7U>od1p%o0>~i(?d~AN`WdrUf3zrLJwbHL7oj|nqi^qyO7Fs;E z+5Rg*=-rS%l}ft1r#cI?vRGcPTvZFyV}4A=8Bv;P+tu`XisdfXD zyo4JtVMzU>^4SupejCGVhjNSsS{(t>tmhBZvxLW@48*V%@R;=4SbIMsB zXS15&VY;pTlXA4n`Uzu*vsZ}qK{o6!GMw!X7n*$rB$2KjCV?K`US)iSuXbaHIuU!5 ze`~>lH!gi+g^lvpmkSlq@d;DFSA?r6Sh|(FQ9JUSYo;|TY%qlyca^txQQ;}W&7hq= zE}nolreF;gO)=buTB@ivVZbT^o9G$<_f>|sfCnj!%J=9TKfv=xPG1vxq7q_3q#Q31 z%R(b(Enz<`7a+K(B)iYGns=S1D^llR!tlw(_3C=v2^|0Hrd)j@f9rIJ?VRPDZig84 zN!%C-csOTji`8E0S4vaaW>XCNxCFO#Ft9{-Sdk`2zAD=y?i6n|*%7;q2PPoJzCBt( zno99d*Sn2dw+9()mAd1U!KU*Qx((9;W01yO9SY`V8{>`pxn{)fH*w>x#7Bs9JyRgg z!BE!IyG#-DodQ^g=jF8da}=-I=$yd#2Sf4jp=IgJLRhb+kLAD6XXtdvYIUwkiqJA1 z&f(H2fs!D+{t(;nYBA!O_(Am~v%Nz1Y#M`Bh$0vFQO&ila8VkEF3JmAUfi*hLDD__ zFj-b945-37w7K`f30CQL@tN10dJXP2 z6T12un=$n3Z`w)0Wj8QY9obo`ae>|j(Xl`LQom-U%l@Z`2>egi!*)?+Bf^_!crJ`? z^4=1HhFByJpCUbm#aKoe!zQMybpBK;*K5+_b(U4j3WI27ziD`vEVhTXZhT)R?|Yrh ztuhVi8P|jKo3%o+#p1T|u7}+ZdFZ-?v|)Zxf=zi_0lbA9m$)n)q0}TA1;6|RGUF&) z7DDu?G~bxBn9&9|Gn=%HT<_*hlIIDX$>M>$M86MRJ{zrn zBc>C^FM_Mz=J9q;5=PqePSbmgl50iHzIlsv&b*J#pS{7pS?JuTjH23(w;q~^mK1`# zv~hB)&Cr`Wm-q?-9MmWG_9gkkYsraiCruCwCLy$b$;py$^rd82cYAy}=ybia1)GtG zNwW}ItT8=fo)OnOo4X&TXESG$1XlpcImn7qRgo+ErF~P!CGHDkVDz#gt2Zu@H*TLx z`Arw!iT#zk!*s98ddOq5;oo6M!)26G>owQ0s3WrT<4X;7G~lJ8wv*w_y$nuFrL0(} zB|&%N>@{Reu3ub}mwig7$n-ji0cYlD+T@V3-}M2e%&>lD2sLALh6#x%SZFP8`}-1G zG00s>+#Dt8=tb7?v1U=moguzuoF0p~Aq0Z(cJTk?8^wCXp<&Ic3Jvuga?~4grNA!Z zfH6eWs52&Jxl#wo^a18`%t%_eZbM?+dwdbwZO7+O-KQL1aOYbFt@wBR{3(5CylA2_ z;rFjW^Gy?F5~iOdMr@CMLgs_QVHOaxB7CItVSH7 zQf#Kb!07elkmwHv%D$PxOPKLnv?tXK@x$^Z-CALnPdy)+Wz2!2AhZAixaw8Y*TPN_ z*@k~oBIa*4qs*h?Zw9A*B~+mf?4K5`pD7*d--11YDWUHcrQ!>5#};}#EjWpc_CK67 zk+!9wDtTJ5K34RC^lh_+75|jMzraR0+ka$gt<(55fr}%c>sGx?cGqT{UCzKspiz@GxPk1<2YiikP4y;=h56GE{ugT}Kh%OX zzR)FO=2; zkc#`6r|umJ=KfAEPx?g)ob*-jPnUlgsq!I7KQ~Zf#&1?dml&}QU;4!Rbi3|y#Z0R9 zm!e5YojRVCH_Ee1o`P&n?y>lhlnCV~USng@b|`&6r|TrOefu!!{L*@{k8OB2hm~B7 zVy|I|RLelse74x8AF~$&j}VLv@dE8989nOz?3ap;6TaZ497a`0=*MbKXRQ*=HoV!q zzoG?MNjkxKnj&6SZ~RyPm7s`GOpBV*d@Uj1bp%1ebLq0IjeNh5Yq7ITr+tY;EtP zbDpJjpkpM!LLYvnl((-$2y|NvlfjqFtAh*l$q!SNgt)zi8?DC7D!pG?rpA7vaUL&?8_A&VccS*Dn7wo1LxynD2V<6 zehh3B{+tkVjJflr!N+qXxf{=8$zUAn-k!81{y@&`r86UpaM|!c!YqA#>#1UES#+au zNYJD7A%WU#ZdK|vcDQTLVCK;ZzR(yV`RA=<_s94z3B7<)T(TFn?t2Uv&aN?Q&HSSI zcfj1Ga4tIDya6~Z$^QdAC4w*XG`(L$rvsNSy;8_#M@uqn`~|GBkxq-Ou>JGwvElY0 z{J!g#ykO}O#ritN5)F|OEqHfMYeqAR8DEz&-LkPZtqXO!S>TMto25jB4$o%6AkO#7 zTtJlr0T_I(aIP|fyd}FZ8B904Lk}x+rxxN1Er$DAP|@T;-m(GWe$6N!#LJ(_tRF$J zrPbg^kl&LvWqWF&-VhoUl$$DqSCd002nBi;XzrAGlMBqT^t-Q`f^}mMZE{6szgL!3 zWSsJ}nrRf+$U-H452{sn1)jZnM%^je$bCJYLco%{1bLc^*-Qduwc?l%_6b->d%)1| zgZ@{Y|B!nb9k5?1c_+|dIzduASFGFhDF_^y3ng$WR97U~!-(3e%n{;gfiqj9>9>e0 z!7Chs^E5(#7OIz5Gb^&u#ClRK7DMNh`{^=UIRSI(END5$qIDRS(5vhOWFBm+i4^vr z_4bIyS^&HiqvG8H;AZoO^r5PmgHF^zLvl&P{Fs2h8pc*UR&A&^`~r<&xHv~@quURP zj+ug;qCCdk`2b0Ik2A;%9D~zHr`V10=Ov%JjYqgI*oZ9lOB}3skZ57J$qO9y>z5zw zagT-uvwM@{CB+&yU>KPwjDG!t@V3B>2YL|h<6pS#uO%fzJ5+Ya{7Tp7bA?ICy{MDi zA_F}XbwE6Qsny$GeZGaQBn>sr4897vZ2biByY#3Fs^xKcD@s67i^!A~u_FJSFJKH+ zzz&##Mu#@_>$|2-#a|wBAFv3%#O8hf#o0PW^lQ_e>e&Oii*@#w@vitMvp}_YZE~G` z7LxhIE>5*tTTdcf!D4qcvzF8w=T}*A>YaOerLT>>1FaB;3k=!hvq(^wy;O|cEWuM0 zt2Bi1q1j78tj4bhPc9f-Bs9)#?$>^>P!RGN(l9I?Mfni|Y*~#*jhjV)Dq|Dog&`L* zF0_67;%5Ia8dr%s_~u_U&Ln@zpvJmHv4bmZaaW%;`6AhG_8UbA*AH^%{$|&OAp?iM zz|o$ZNe1+r)ubG-*}xchr!ihx2-5GFp5i!is5r|gm9?IoKAJ9m&zlxSZ#8i=%U;3o zU%}=2NF!g2qu41gg3VjSy9Jf{y!OI3=NGGR@rygTlPml6`Rx@+dnXQ{{^nUWQY;V^ zRBz0J*--O;^!YH^&-!St#{$EFDja_g;xpAN7Rzq`j1xxPm<7^)eSVPvzkDcRn z+)?e38HPM>JGWyoYhiDWz!p|SoN069B>9uYc?>;Le`vG@z5yM_%R$ zjzu*-*9&=H>fYG5wgE?(j!`-{qV)Fvaei=qFyOZQyRPh-HM$2g%~>j74~!Igm}PUL z*)-sCW1*Rl8)eu8fd&w{y$U73LS#b@r?r&xFZg;q$#i9*MtM>h(vQi2e{mnuht6x} zxZb8B(uH#7Oxp>*N*aaoP=>|p`gNB1{fhJT+wRfO zJ{Wu0v;EF8W?@01eEWB%=9M8152JFgNv-Be-z;1FLmH4i_>DmOa6gPBx$Muk$_l4! zQDKs9j2bY7C$nrSsJiimvS+lbhT+D!7@fr|Wr%>?C8!tobLaJ5qCSfK z)Irf9Y9OdTNc-@w?kW=!Y6_;vDFhf-oHqJel6kZd0*@+%Bj80ks)N*k7O2)#n8ryN z;j^t<=IH~nsWf^~*o72R-(02o7qts&@KA~FNA6xE1F(XG&j1#`RYiz0+(`_Z&>WXq zV|VN!nImINs#AJ{o92^6EFbPalRx$lUw9Sl@!QC}m4df_Fbjzqq-E9KEX6nIx9Vv+ z*l+#x>|%sjz%yYwFkITTgAWkcx2L;Q?5j= zNyq!$98j^aYxDLm^tB?IIW*GFqp#>9;UZ(CF%vm#|lwZ4kCuqyPOX?4s$Y;Su7p0itXrzs}Jo@A^KUw5}C@ zlKiN-CcfWg7Hj`Ma)eQnF;Jc9RfWjm4%By-X)+Eo1h;y_n9opcf;5@*2o(<4c~Td3 zD*jHfU%&oKI%x-tg$)9I7C;@|@(YJkr5{hB`VcF^?!7&l~##*8GDT4fr_tzl5@jaE8^Kv1aUyKx;!BlLu8o0mw?}Y5=gmq`Wk^epnrOvo8=|5KNjNb(G74M$C+(q6!oP$=r&>0#lz1q?D`J#`V^P2kDyPsHp-;2DUsDC-ip z2hFdBAY%hvRgps%o+@|4^!9La);dkM{99XJo99yKf^{%e!#XCh!D%}XHdL!DU%0D@ zH5opkcxH%`SvS=oKj{S2_iuKfHsKow_HA)aQepl2zT!bL}v6Jd)t+F1o zf}1(usNszr?3FgU4e}=A2e?nf;*Z??yHVnhMlN(^G5V|m*((#d;#N`;!`RBesf(cb z$eUkL<>dZ*sRGygA{KZdlGgX}4^Ggi*?5z->9mu!*6kk!%m1^YrPP~RMiN_iWgXM7 z2G)0j$7ecP!~N9*h`Bk^{7?PbFVJV&?1^Nzd5XT)Mb2Hz5+m5XgR+0WrD4Kft(1@d5rqnF~b?s+yx^l76%Pv2(y$ilX>vX0JgYug}`D{4s@ zb<`&yF}^RQjO;gHQEVnNYrrj+5^@452c?8*=VnP7!zZp4R2WV|c6jCof9)Db4oG>g z#|$uwtgG^ZQNJ}m3+m=alKTf%KxfYZsaY3rJ7vbKMv@3<&lgF)c^ihqih|8bVf~zA z6FnO9tKxYAt@esypGc z2p^X8DSbVUlLJQ0^ov?&%3#ZV%EXFZ8qT>p<6h7vLNzX+_Z;eWN`rHt1h~Mxtbl9F z2HUw3rmsbM2C4t}>!s4398lozNZY$r?aJieJN~QHijn#2(~&fo6-5va%_Wx&C^zF&#nN z#Muzi=!U^trrYy!fTn1FwY+N0+qUG-g@mx1%Cz<}HA&rkqS?dx2C<0rL&NiuaK%JN z3t=$}n>#x}IFoY&Pj%$%)I?VEcy{+Ll##Dos2g?l94>SN@+cj z@BmL-%|Z82hmhEMf*PLc8F2y~uO{7%3hkP_I6=)cdgIf&^5b^BbR#KJw=-1H7g=M3 z)(!{L_wa7Jsd^vgTZXFUiJcd#zv**bv`}$c>*4&=co|H-_8{Ehi-O;uOx=bOe@))=N#EBvQ?;pG6$?$$6R+k+CwIDJj!=T{4^BkKPvelMONXN?;c zi{mYfI8MQ^Y03-yy_*l+Ez?8xxaTM+JBEZl?c*EuGcESfX+zc?jI?;&LYL1K{zLI2 zq0bj1wBU{?6ax3Fo63^@GHHH^qGrWVyouTDxcIaNWGuc}V-}NALt0_wxR#v;HdZ^n zOnCd;BjOftgeoD>MwZFwYhtAkqrl=VDW+YtE&NEca{@l`eY-~i74XvV#u^zdEWzV=ep590Ljn)w`6bJ+IzIjc@5CyRb^?sAS) z?IQY;KrnH8+s_ zSwX8QPpMc6QkiPg$Z?&x+x1~C7C!;pj-vjwsJs7OoL0T_<-7`_w;k`y7`@9?*cbQe zk*15i=XARa7o`ug9?~_kSaH<6=4Jshy;UplK5N$B1{2G+M55!owup(6O>a#V(z~k3 zQYiT8rRcYF(qFSPt;)rhCtN5m6O{c&j7MSsI;=Nfbl-SMYoSu^TBF%99mQUvxeV*G z#~JPQ7$3h@T28e91w@-3DJ|#r>4raIXZTkHEIGW!xXjQ|?ZVoUjH|Xc%%6kKu{Z)_ z=3sf3BQ<7ONz$nJseK~nMm>1Ce0W%BSkVA1k|8tpKO=VqO=7}=KAs*yM}Gu8+U@{y z;cfZOC@|`iJ(pfCJ9Gf<6(2hnA#w8jNI*Zx)N2V#SuA-}B%OM7@f1#e{V zEFiIv{1~__4&(_Fy6VtNkPHVz)wq4?_N>_q=mCYj%MvbAZ3oyVka+IxF3ZGf7YL(W zrWqps1zvg=Ra zrOMO@Aw$u!r3`mrF_FGl$4jRrF5%MkD@ziVkV8w5(_#MVCLd&aTdD2-VQ~(yVIfkO z8}9=?EiT*J2|ensb?YavNBxG;x#0ekYn*V2Yd&MGi8in=#zgT53U^RGM8_G;dux)j zHQVG+#+$_4skNsx8vQ}Dg)jn!-P%-+nt(5U1&MRwOH$D7k_Qc=p({$fdmv%uE^ zBZxRk*<@Csd+{|$x4OM;U`yC>o+$Z>XSA@k*6**SFLlHxK(yF$ynbM9dn3vItTXao z?G}ii;3e8;R)zOg^R@z8dTS`h@eh@-iAptDds_275-m)a-H7#Seg=DL8iza?Zi)RR zA4==R3oPHb)(Y9Km+F)WpepE$y@2n-5e)jUyN$clL$@)*UYpW}5x|{=;nUM`7cO1h zKoXnc&4_QJZHUl(xe$ZrZ30F-+XT$|Q_*R7?Emyz{JRpegTRLQmea}DzRaKZ7dAqb zjW0Fk-*rC&m9%$UA+_3oyz2Uv+q!K^Z)2>+-x1;H2b95*quT-LoWVmpLTRNpL@jw0ZO}HSra7Hpxh(|uvOlK~nnCYdq%gd`6 z9TjF{c@{0TON!NF`bQI}rf!tybJFxjZ1=F2N?zuz^iV6fSYO}_@v zAD*6qoS)%jba0m7^x1gAJ=fRPkm6OP+#QlvkH2HsgL0PzgTQ-+N=GnA?mhg;x6{H` z*PryKB>98*oq-9?*p@SIKZ6;}7pCclQtpBBF#^lEas;`L;|E5~#ZYjqM<5VS{^b>3 z-M%T&0?InUBR-A!#bEB~r#+=D{x*aYz7$ujCZYmxF_D)bNuVGA8%zFmyknb_;f1Q} zAwwT2#9tf#QM_BeOfzfT*|j&;R&b}+zS)SC*}UQ&g2`y9*Q9S<_=ibZiT!brrk}W9 z#}B7WwftEt-JExsKde4ZZcJ#wVb&XNYFIcCLRJ|emK~eMS`na8*fCFaS-1bY_!z7i z16doqb21B7fb9PD8Cj(dN5rWi9PM)Uqn0P!is2FkWt<$rI4lsZ-&I}}9*HzVH9OL| zd=IhzxFdH&e;O3ek$_P$9S5uxM~dC1JDhm{et)(+uf=>P+wp6l?ogz4v-2aO`f$pk zssbm8t^*>V#nSkIODii>pPzW8JTRQ4`c3;2=9|v#`X}x!!?pN71wluN0+e7Kpu3aRj zC*nloN1Rd?C$s8ogsz#R!4|GuPlGUW;USf7^pU*m#nL!Sj&KdofDn{Tr#U3wS>!#j zd#{^m{K_PR-5DOg8gYSp)iAI!ccGVZy*JQwoLfRlREJ5L1Swzi;6yR0_a96#>WqH# z_aaiSQ^c?XM0o8Tzoq4dI%&V8JSKLt27h$NRUiCbY6wYtJ}G`p`t*ru&CoscXIXsv z2%*=Qlnda)5yYQB)8lfQv&M^(hssEdWuw8rV|QsI=^Ifbw}9c@q`SeF?hC=6S(hCH zS_emeJ8Rsdma0-mavO!r==rMx!g17AcDX zS^bESz9^$?P)55jpHn_n*Jy5Oy0VVOhMhL_dTdi-6srYj&^CewCmjkSUiMW70t89k^y*g73^EGH0h zCN7J+tLy0zlxR_43hxi6>6w;`(cmPvA=wO==6F#CJ?y8WVOg50e-Nhsi{8PF&P3yX zSc8MSyf5s(Cv>9dyU#+yr38G~kcE8L%Onp9K(BP*x&Tr-LDbjuCxki^e8J^%sMdh$ zN*#89#76ycWV10!5eO|b=sA|^$cH@M?NZ@2yKL3Z)MesnigRto>{D%paqO?68Ru+M zGL*B3P#4r!JF@Ol-pgHI>y}%16b!wTW;Ua?a(9eNx$D}ALz*9~7hGb!qy@%HBAIz=D!|tQO zfHy{fY04|t|97G|q3s_=9XN%?nQ!@C3Pm`)B@0iuFwNzl94a40Toq;XpBU6Kx*WQw z;Xv2x{21f^?1+!R>NDs>er1gJtX0YPIgiaBMHbwCMzlIf> zXNW0EaXf?ZT46I=KoVNxmN!FKi9N(a+=Zq#$6$RiZ9H6O8%wJu$m_d6HBakI3yL+Y zpKkFXo#%|={5j~duAHq;?ldAE&BoW*s5*#7Uh?u=_a7$A? z^S1G*G`xQ=Yp_Y`+JoqHLA~AIM?uW)2m#KJfAMQ=Bk;YAhq}*lUC*#dCso=(FImbR zdGdCAbr>P^tGT){;YFvZr`~MV-V*M+=*Q{fu)^<(*4E?VYHeaDzbi*)m*&G3c{iY$ zOx3YPc&cCjC~JYOQa;F%qqei#Aa!Dgb_WnmT@64IFdP4lfS2FoRo&!6T`0k52L#LP z0vM4~J+@+tD=FU971G+mM1$JY01lu*eS+SP2OPP(=gRuzfBlNmC1u=mtd^CfwCPJL zdI8}nG-6P@LKdte#?o&f#aqRqrglAB()c&^{)fr3=fY|IRzc0!8u0nt6^UIr8+OzF zPA_s}kTMu#Y+F;im zrqG#31N%1f&Eh`H2p|A-fX}9uSXcxOh=_cz2sd_;Kg3#B;>c z5NX4VgD}*<&(#h1E8|w$9-_VYDJ@3&Lt6!m`8JLBu!O_*Yu;o{9XrrZudsG}1=PVh z1!-SMpTAk9(28g+OH3Y;^&Fz^LMQhZ4xUr2s{Fu|%S!CpxzrzjB{jdImCqiY$>E*$ zf#pFMg5>iv#;>~ODc?lKx2$7oMJl8_??kBOJbTJIl|*+0*E*Eq8U5Pzt>Z^QU@ z5xh1p{NTHxo-`j*(A{L=iF&7VfpicbPM>>kzgdRwjF6eUs`=41zQuCt3}54?TCc|s zW)NPT>bH2v)br~iS_$FS)1%*u{RKI*J7-Q4LSK?FFL-$eP1PFQw-3B5_r|ry{b&)L zAOikL&rBO*v&)v!Id}H^g`A zS4`~XE>Yd!1quFsab0l2z<1uw8UT0mAO+xStP@wtu~nbdZ!u)Ix}#2$0t*glz=22qaCeer z%WhCxE9O~a2S2s(ypqh3vmA6j2C6GEE;s{6KY_F>#~&Rl4alc z-3vX}_k2CjqREkzK~`3~{@daQcEXht7;qgXO?2X{PTGS83$}E9h;2EBq*3Foel=C% zj;Z^Qo3*i;)}FMnly8BOP4Z(hQhpok&KYiEwY5^`d3`G7d_MH+9k#0kSLh--&9B-M zZY&-)e^9NL53R?`*}Nk@Flz{~S2kpRA}usRB4%SvviL9 zz28FSe^e`R_W#p-v+&v-Bn$WP6BgfUNsl;+VWpJ4xdR@R**7^pFR66R6 zT8s-E@x7nof_g>z4at~nw23S*1_=3=b&jru%@#y>06fn}5oU~2VBlGj)ZI(EV6&GF zv0&hSQ63d%o$d)srRe`EazPn?6vyUd(Hj2(3Vnca;2B|#JqgnrzXm`rW~?|{*bxbu zb>18NO0H^K0HN7Z`l>%d^T){`iSPkkPI#TX=6a;?5fr=9+RDz&+uZYg*7$^b&H7i4 z^M83QCs5B7)+Z%97kZ4v2q);x{-0b5skSu_=&dz^WOI+kRqo#z|3xjC-eZ2*GF|U6 zxQapqX>$Z2>8PoEek~`FGVYR_n3(BsJ(Byq9x8I^gPScyaJ`5Ngm)3n=8u8zS#RY7 z+P%b{HwlLVpiheUp7B@E=0js^UO_Q+pk-=v|Hrl3jW(_^+!8Hep-;2WJ_0wpYWZuE zO7)N+f#1t#Cv<%EHm;lKc0XN0-NLD7*lMhRI72*v9Nh%7SWZ0X(1}J zg-vRUMP8Qh1jNUhE1S*myQ!0>Y%0WvV%>ZU{j#KhY{4gF^I6Faq%)o9aLF&C6^wzb zDEbFT0!EQZbIVSKs0PuD4btI;M?(`2u@q_0OI3BpU|v0d9`M^Nk1~T zmuhj{iIa!lgIWh5ypieQP3EQC9*@CYxkhFqn#PS5uAvZ(g`rNGr_>Xatx^mmXgetv z-8Ai4>Bz7b!eNeWRn|rBXMouaM3V0js}-N_Lonfr?}lpA2|P+aLSFV7tl&2=P8%FG zGjxJt%~RB-H!)pUE-E#W`9H79~3x567C zVM4o4lb4Ort%Cs0gsl-+)4PMvwvuQ#K7f5Dj5h2t(3PppZJQBF-r!aGUmKgg08goA zO<(x2-d(&pvCnCGNZT?n4rvoh=(3jBs#*nM#G=36tO{0(gQ}y9 zh!#^Mou$)23XXdWMg1U3oU}Sy3CY%dmqFZ?g=QL^S1~YGQ*Oi4(co^ zVb3|7qo`7ar?{KxRK0=nbz1ep7PBOCGfq;vcR?x2VtP81t1=2F4Y*MW=99@KRx zG@o*tI$Sv!*tBKLR0qF`lJhem)!i2${dn@;%M^8pN& z9E-WF*W^mB^s-_oYd?GGD!a@l3BznV6PveIbEaGgPNuz5Z0O?1v<~fPP&h(#OOYGh z`t=rru5UxOAVhErgA;$!xm%O&DJ{qezdKW~o(@bRgc!b#0df2MhBuXF;B(gv=SGi+ z5!aVDKfDIouYg+*@qXwrxRw+rJT51ob253D9n{v4oXoNElR$EBk8zE<(ReogyuLcw zb2?I(15vw$3t(Q3ukJvSSjAv>k~|`w82_C;rNp{g3b)y{9(Q1lm8)5k!*it?7d@?n zGVSRgc*JvPG$J7SQyQhkb3A<;y?BNo`=RiU)07c zed|!eck40~C3{VK7p85)Dcqw(At`5H_2;qRW=TyXYNeq`C>cNml~|)vc=YH4Zsc*LhZsKnF!?GPrA_jQ`5rV>UHLg72nnvBgmOGi5TaXvQoFh%?3+ZdOUB z3oeWLjMwS02sHRPC$lRJhaB0o=mFux_^=SHAu|QGod!{f77yhgQXEkZ`cF_YT1aW< z9ej=Bv}J#o{Y}_$T4 zW`NA2-}-o|eNDA`5z7}?*FSqw1TBBS2;wE)?|VlHQ|TefLtVF6%@8IpR!%`V4?wdm z$5)EeBNg(wIj% zE5%)ncu&QeY*Sip6hL8uYEe_u)u8u{s;6&*0Ax@;H=o_O;s~i*`#t(DUWTGk!;R<} zL$W#tws;`XGToM~(XB5ZPAjQYOuX`SJ_934etgRvv+ChrSpaCuZrTc*Z<0kBHizKr zDBmTsf>g|!Bcyf4dhWmgtyzT$MniLuiN+=&xfu}|+scz&uJ+$-qSN63UN&lwKe0S={TxF zxoNStcI4V1TY;;>+;o;Q4s%OV>f~Np$82AzrvDJ_6z))f)S0NeT4UMIn?@g@*5S<6 z{hsqq{raS#_mL%rg zA7o?o)r#w1Lv+Wp19hICe8&$hRM4_TKZvA4>$OxtM4SxTz%9gETydD*dY><0Qvgo9 ze*Ar;;J(~>JEnDK9~F`-={phi7K??Xl1~`fd;Qi$)TXv1(WE0pto^dUeYNaLN*(F^ z{;iFZj+5LMkZ7?Hniscgk82Q4X06U)X~8Kg$Di@?%edXi|I5Ft5|qjab#58UBonrM zZeL=vfLl?nAI7xvT(zu0??#`q{7%3<{@~_RGNfz0R$+e!*DGs45 z#tG@={sg%7G2@wqBeSLU&t4=P_ybAGwNPA~W8 z)*;cRln2C$1mU!!Uy+5d>>A}iv+(-8(0KT<-@2-D!lo z)Hw{_fct-pfM-FsN~I7b%xs1}^(x;E^6wXCzWJPE<^<{R)E}dyyh)%|QAk<&xyi|l zzr?srX7Ng+Cd4>Kfx#mhCxL7I5A4TNW`&#bqUYbFkGrq@uCedc9p;V@y9PEvp9FAw zqiVhF%`kLbW7h9bNG5tM3~##0%Nt|)LLNU)g`K9KRewSLn(z1_jYsu17d9Sk-ozKc z`33q!zuf!L6WI9Dbcda&5#M5RmYog_Qr~3>?3Bl)8|(JcnC}TcS;UGW6$21{Ksm{c z)orh0M`8Xm{V8lmC{1_k65is&?u8svX8h#Z5a&t2Lvoj5I;?s;b|ohCNh10X<(hbh zEC6(vr_cK3W9)C(-+tey(Ij#X7#{PY|F|^3Stdm}VeYdQ%>;zENlaz<#~@nAYLrJK zZ@>Y<DJKzVD>_Oi*wO|FrKoqGFOSJ;%S z^0jhpM#ijsS)J|@s^y2B7`U}i>s=LuL7xR*EzsqE>=f!Wq2LJ^MAdDnrz~M)34iM! z+jPa*_U50Cp2rcrhL>~2M_eM#+2%0B~{ePUmM3!L|qZ1kBRo?oza+$9- zwHvk6Fd*~kqLwDSD1?q_mh;CkhPXqabG0=52Z%b^>9w~VNNl3-)Eo5Uq?UTE17)PCTYjaL#-|G{~NSCXS@CSHT&a`4}P)ElGfT6!D3{q_a5NlCr2Vc;(H=>5 zBpYp@2KLQ2{z!`$&e-g}j}xMDntqAdDISC*Z(6mthC?uJnx3Ms*5=#I?h;yGRqdSy z2hg3AdgV3f(}g|htNKSnnBpf|SQtvj>~=c~`QeIl+Ec>851we<^G=ix(!+5h>x{0b zU1GHmg~`=C?5y5}819)0K0Yu5aXJgM^3L|*bm4g*uut7TJrzE>(&&p)9w7pHJhxj%&(rb=xKWB zIih)pH#W$hrecN5)}o#{`e$xJKTp`H3De!$ofnbgJ-@U>j7al|FJ266PJ6)JTODck znY0k}fIEh)VEmNU9u$9i4hz1B7SgmYjWG9F(MefQsr_e*W2Qpfp@qKYEelf75kbz_ z1L#cigBsPoK?-lvs`mIyke|bxTmtET6p-iYwz?j-L`v;6w(ajmL@r7ebl6?QrzsQS zTh6lD*+q+>o545AcV)VgM&+?}%0n7SBUA}; zZl3BHO%d^yIRD&K(5n51RD-ooA>dGt(|>6Hn|QW z#DTipSjyc?KVfSy|A&gDYD()&8QN=#V>Gj?P)@Uh>4TgBwxr>=z$U;34dyfTgS@s@ zX`A0Rte2Tjkgd4{2?o!9qzO;-`?tmiw|_a8I`dZ%;~Obtu*Y2t)!?RJbxRZDV1N|4 ztXzK}m&+T!4Rz%`$kLwdW#E7;RctS|bCh{kgsXn1^ugQ^2W2-}JGSbCiUU=c`sBZP zh`+I#ijzz!^Zcl%@~km(=Fu!z+#Op!ESqB{ysO{~7?<&GdK$Dg)o64!C1sQ?h^Ye3 zKBwtx;upiMbK7)7vwuu@cy*(>P@}=&kZ$8Q$9B6w!Vu|yPxzhpf*Or<<0;((-qApV=!DF4T=R$6 zTqcUp_!aAo?3M^=NUi=b-h3b}8BKX=b5}KckYcg|aNy2Q%nltC^A*E(P=$HNIO&$( z4ZcZCmg)5fe@Z_G)wQ~0oX6Q2#tnpVM3$?Q1ODkAryzoG26&h1iRaRrcK#jSNC`pa2dy_Y_;#i zbXQ|6IU@z#hqQ9O%`Qzkp+3)DVsc@ePgzAotl_?1)+Mh^uIQrn6n7EoVRyLTn0*)Q zH`8@cU9cKh?HA^*qixXX~y<;2Z*Egl}XT)=M`) zbieNDOI!$F5GqQFjY~L~3BV)oW@0@%7Ww@qo;X;OnTUmJ@)5` zAYIv0aTM2Hl_p1**dO>2XzSX_9pmGl4?cI{Pp}kF@_F_t=02syIxW_Cc;dgPC)$m* zm~3DC8s+!@8VXgz+r(G2$7QTq<(`Sx%JRLFRFCEV*En!a{Yu9oNlrj|d(Kz5rYwfN z1_ASI`~Ru)z-OTCZ9IUhB_Dykd0eg<^oo#W3~#r~fU)x;gyA>!9&J?TfGRM%x;2N_ zEN-8D(DrFiQep1wD*fqiJ0tD1FI?M22Qq1yKce_g_!od|G+vd}x<`p= zn#ySltFk|h)&1DmAxemSoqQj6l~z;i31dV4sAIU~;5GYy#nit6c}vbUXFsxQfTm0n z2JW`I^S}?}EEhWdP@goc%iKjYnI}5;n5hj*dTR}d%@GBQBn6|&2POdo*2mbCXNlh% zSx?L5sZfMbRcv6DfbSu@r5jFI<33Aq$T0O8wwGWj(jc{;f@X6!%HA7wS+aIEo2w}$ z8Q15xT}pd~nOK*rjn@4I!FZpkClIvA2!E)Xp&b-NuvV0!9#H?Cbe=0rHeUc$sRuZF zMYmPexcA}y+JjvLm*;iZu7pm07onN|b~eMIyUWM9*witFk*s_W=bBmSiuJ<0UIQh+ z#(MD2@f-&9`9OVWx#Ca{V)`i~4*nrn?T2ox(6662U+eZ5{{S__>|8xC+Yc;CJws>*sq&7kKV&V*Ag ze*Q3kI89_HgiVR*H%!n+QTkVl$yS?`xp)}${~9{?sHU!bkJ~yk-We)cQ*E`QlD1CY zEtzU93X&tGGqi(aY@K`Q6y+?-ZKAk|gm?xB1PIB=J2}sN&%gW6z4ltay?(#X_w&)liArKa)M&o;G`^uOy+Gx? zShj@%d)ZO?6>saYG1@+nlJ!)@t>%?IGns*8;S#@RF{OBN$N4F=s#(-fvW(blEi!yH zb;K(JkMiGhf1E({Yi{X9nQ^}D3o8@L?0Oq}UbXgWx%1{Q8Z_Vk@ZjRmOGekJgtPZb z{ukCMl}LTzhCn6g(h4A`2&x`O=%!0H^QX8{rf2QHGZ&iQe@2TFLdiuNB zD>I7Xh1gR9yP2uC{}Sn~y1CFXsQ)oGQ?gyPj*kB{r@G!&n9ieb||~~gO3l`lkwZLDab?oYwJxrE}ap#hKjmdu!^@-$9-17(-FUhQeR#xy6C%2=c9M}-z@U{47jE*>#OB^6Ccl*N=j$~uDFiI zH}mkRb-P_$>87erzuWb23o@}Y70YAquBbC>x1XwMTz5F|*Gy8~6wY>?`7-CX6+@so zF|7`OzO~OBs$qxAB$@kfAGW*Fc+D3D`<*Z3zd`SFepaV-8{Pp5eu6(6M3y5nsm_Devr~|tA9Cj5 zO`gz9B&oU6lhn=D8jG(oo!R@FisBN+!(G-gn`q(mJxCM(Z3!Y^P<3}9(2WqxGc|Lb zCgVlE!=W$DU+!AT^{c)tER2sOrz-xkOr9qRugP4!=S0rPjZVi_H;G>hL9;>t8S zalR}&NyIE9JSnx;?`21r7pP2ix7qiZY--41F`{+B$3TbfV?tw!{Q{$(c`Kv1Q!V&qz8Y|8OOI;8Zr%7ZW{w1jc=F zW=r2%F~C9>_v^M{QLfje|$t*nV3-M zVfqL^zj2(~>TNl;>SS7E=Slq56L+yU`cEN`$z_?Ke|3v=Li3bk(SGCKRHC8s=tNmU zF)m&DSo&n>K*4n{Xjr!WVYvzvkjjUE zsExZyd`;|Pe&1M=GY5Zh#idP+trZJ@^qPKu)O|bV{B+**Io|zXO&6W=N$aMzzMj|N zDsFOTuJBsT)^gdOoo}ASvv+4scZ*g%S8g{k=BXRKdL!-ZV0J;G!oD~7L@>{_*!$cE zvUeIScRRx|z9ufgkCSnuDQmNeqjSYoj z$`K#s?p@9n-K6YqhED7N9k*<|_b`bWpHX>Iy*YhW)tQD*za4DbT5aVril1i2XzP`j zn#v`6=TN6PbvpgezTaI*sEN^S8D!sAJl&WP?cadcsK2aiZUiQ=jWJa)D6&^yBlS7- zt99w@a(A=C5G}leihjno+@}iO@D(_ebG6o|K(0Jp$Qjm#)4s)r7YyC`SAM<&d9qwS zQ2H$UkE8V%!4*#4^4om;t>p7vnbtPzbL!=Tn6=KFI{CS^Z@p@-GxNToquat10@UWJtmxHY*A^9riAP@pt1*lyo!uZZZrmQMSJD zH%PM+fjw}l1fEL*DFoyPG(t(mY{u)<4^9y7z_RI+|9NR>s+)H1yJ{M5itu)%V|AYD5MD&n&1Q;%`M@VB*Huo zFzBM9)0k045?p{(MY~Y8mgV~W^JJN?N^=C#OOW<|<3f65;?;GkU@&8!)4^ipD;-*s zsBsahv0|8H!0rcF40C3{>r!C|e1wy5UWp0PX*#uBxN6`Q?xGAWSP0HVh63qkwau%s=^{=B^AAZbK&< zreO>84rI|1q!%SIp4ufOoxrD{fbd1oJEbf?j5eV{n_JQ6m4rBw9|Vkejzo|15#Yq= z4CrXXazHCN78-&&;Etw5H(zS~j-{@QcuQzoHCVM*DahbigABT%+Yi z6>7_0lHm{zf0FWJz~wF%+Tpbx$U;^DTX@ba=Z_5tLJQB7iZqqb4kB9j-N?08xT46i zJ0pw*2*I9%@QnCiEDJOl7z3X``dY>b%sDa;E!=4kn4|c0EYs(^^qgs7+$3oHK2n%RXl*0}EhJp=J!imrnlSE83?!7i9(v>e zIyS)D7XClV2MP*d(nz1X6@6fF8ik8ksH%y*DFZ2Vv?(|f&#?XysDfS@ysjzxbmM5CQ!8*i{Gy?v6H(hT zV{*|ezV2EXRxeyokY$8j`AX52@&Kvx&FLzbYbtr6B}X1uMWE$`U7}vuE}dC=$%FmJ zY?KFm3e4fDl5qY7ps)|g&@$2&Etl) literal 0 HcmV?d00001 diff --git a/data_application/88soils/soils_slection_prob.txt b/data_application/88soils/soils_slection_prob.txt new file mode 100644 index 0000000..6493737 --- /dev/null +++ b/data_application/88soils/soils_slection_prob.txt @@ -0,0 +1,2184 @@ +"" "prob_compLasso" "prob_lasso" "prob_elnet" "prob_rf" +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Paenibacillaceae.g__Paenibacillus.s__" 0 0.05 0.1 0.02 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__muralis" 0.03 0.06 0.33 0.03 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Novosphingobium.s__" 0 0.02 0.05 0.03 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__" 0 0 0.02 0 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__" 0 0 0.01 0.06 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Nocardioidaceae.g__Nocardioides.s__" 0.02 0.01 0.03 0.01 +"k__Bacteria.p__Bacteroidetes.c__Flavobacteriia.o__Flavobacteriales.f__Flavobacteriaceae.g__Flavobacterium.s__" 0 0.01 0.06 0.08 +"k__Bacteria.p__Firmicutes.c__Clostridia.o__Clostridiales.f__Peptococcaceae.g__Desulfotomaculum.s__" 0 0 0.03 0.04 +"k__Bacteria.p__Acidobacteria.c__Acidobacteriia.o__Acidobacteriales.f__Koribacteraceae.g__Candidatus.Koribacter.s__" 0 0.01 0.11 0.08 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Comamonadaceae.g__Methylibium.s__" 0 0 0.01 0.02 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.1" 0 0.03 0.26 0.03 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Paenibacillaceae.g__Paenibacillus.s__chondroitinus" 0 0.02 0.05 0.05 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhodobacterales.f__Rhodobacteraceae.g__Rubellimicrobium.s__" 0.04 0.05 0.2 0.08 +"k__Bacteria.p__Acidobacteria.c__Acidobacteriia.o__Acidobacteriales.f__Koribacteraceae.g__Candidatus.Koribacter.s__.1" 0.01 0.03 0.11 0.08 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Xanthomonadales.f__Xanthomonadaceae.g__Dyella.s__" 0.01 0.03 0.17 0.04 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Microbacteriaceae.g__Agromyces.s__" 0 0.04 0.04 0.04 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhodospirillales.f__Rhodospirillaceae.g__Magnetospirillum.s__" 0 0.02 0.05 0.07 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.2" 0 0.01 0.02 0.04 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Rhodobiaceae.g__Afifella.s__" 0.02 0.02 0.32 0.04 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Streptomycetaceae.g__Streptomyces.s__" 0 0 0.05 0 +"k__Bacteria.p__Bacteroidetes.c__.Saprospirae..o__.Saprospirales..f__Chitinophagaceae.g__Sediminibacterium.s__" 0 0 0.06 0.04 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Nocardioidaceae.g__Friedmanniella.s__" 0 0 0.01 0.04 +"k__Bacteria.p__Proteobacteria.c__Deltaproteobacteria.o__Bdellovibrionales.f__Bdellovibrionaceae.g__Bdellovibrio.s__" 0 0.01 0.01 0.04 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Xanthomonadales.f__Sinobacteraceae.g__Steroidobacter.s__" 0 0 0.01 0.05 +"k__Bacteria.p__.Thermi..c__Deinococci.o__Deinococcales.f__Deinococcaceae.g__Deinococcus.s__" 0 0 0.17 0.07 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Comamonadaceae.g__Leptothrix.s__" 0 0 0.02 0.03 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Comamonadaceae.g__Polaromonas.s__" 0 0.01 0.06 0.03 +"k__Bacteria.p__Bacteroidetes.c__Cytophagia.o__Cytophagales.f__Cytophagaceae.g__Adhaeribacter.s__" 0 0 0.17 0.03 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Caulobacterales.f__Caulobacteraceae.g__Phenylobacterium.s__" 0 0 0.04 0.07 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Mycobacteriaceae.g__Mycobacterium.s__" 0.01 0.01 0.07 0.14 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Paenibacillaceae.g__Paenibacillus.s__.1" 0 0 0.01 0.02 +"k__Bacteria.p__Actinobacteria.c__Rubrobacteria.o__Rubrobacterales.f__Rubrobacteraceae.g__Rubrobacter.s__" 0.09 0.13 0.32 0.13 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Sphingomonas.s__" 0 0.02 0.15 0.01 +"k__Bacteria.p__Acidobacteria.c__Acidobacteriia.o__Acidobacteriales.f__Koribacteraceae.g__Candidatus.Koribacter.s__.2" 0.31 0.4 0.54 0.32 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Pedomicrobium.s__" 0.29 0.3 0.58 0.08 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.3" 0 0 0.01 0.03 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Pedomicrobium.s__.1" 0 0 0.01 0.02 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Micromonosporaceae.g__Couchioplanes.s__caeruleus" 0 0 0 0.03 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.4" 0 0 0.03 0.06 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Mycobacteriaceae.g__Mycobacterium.s__vaccae" 0 0.02 0.22 0.06 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Lactobacillales.f__Streptococcaceae.g__Lactococcus.s__" 0 0 0.02 0.03 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Xanthomonadales.f__Xanthomonadaceae.g__Dokdonella.s__" 0.04 0.04 0.14 0.04 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.1" 0.03 0.1 0.35 0.15 +"k__Bacteria.p__Proteobacteria.c__Deltaproteobacteria.o__.Entotheonellales..f__.Entotheonellaceae..g__Candidatus.Entotheonella.s__" 0 0.04 0.17 0.04 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.5" 0 0 0 0.04 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.6" 0 0 0.02 0.05 +"k__Bacteria.p__Proteobacteria.c__Deltaproteobacteria.o__Bdellovibrionales.f__Bdellovibrionaceae.g__Bdellovibrio.s__.1" 0 0 0.07 0.03 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.2" 0 0.03 0.04 0.04 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rickettsiales.f__mitochondria.g__Diplazium.s__pycnocarpon" 0 0.01 0.07 0.07 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Pseudomonadales.f__Moraxellaceae.g__Acinetobacter.s__" 0 0 0.07 0.05 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Comamonadaceae.g__Rubrivivax.s__" 0 0.01 0.09 0.09 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.7" 0 0 0.01 0.05 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.3" 0 0 0.02 0.04 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Streptomycetaceae.g__Streptomyces.s__.1" 0 0.01 0.07 0.03 +"k__Bacteria.p__Bacteroidetes.c__.Saprospirae..o__.Saprospirales..f__Chitinophagaceae.g__Flavisolibacter.s__" 0 0 0.05 0.06 +"k__Bacteria.p__Acidobacteria.c__Acidobacteriia.o__Acidobacteriales.f__Koribacteraceae.g__Candidatus.Koribacter.s__versatilis" 0 0 0 0.01 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Sphingobium.s__" 0 0.01 0.14 0.05 +"k__Bacteria.p__Nitrospirae.c__Nitrospira.o__Nitrospirales.f__.Thermodesulfovibrionaceae..g__GOUTA19.s__" 0.19 0.34 0.59 0.07 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Oxalobacteraceae.g__Herminiimonas.s__" 0 0 0.01 0.01 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Turicibacterales.f__Turicibacteraceae.g__Turicibacter.s__" 0 0.03 0.03 0.07 +"k__Bacteria.p__Firmicutes.c__Clostridia.o__Clostridiales.f__Clostridiaceae.g__Clostridium.s__" 0 0.03 0.02 0.03 +"k__Bacteria.p__Proteobacteria.c__Deltaproteobacteria.o__Bdellovibrionales.f__Bdellovibrionaceae.g__Bdellovibrio.s__bacteriovorus" 0 0.02 0.09 0.03 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Beijerinckiaceae.g__Beijerinckia.s__" 0 0 0 0.1 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Planococcaceae.g__Sporosarcina.s__ginsengi" 0 0.03 0.15 0.04 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.8" 0 0 0 0.02 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.9" 0 0.02 0.07 0.1 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Kineosporiaceae.g__Kineosporia.s__" 0 0 0.07 0.05 +"k__Bacteria.p__Verrucomicrobia.c__.Spartobacteria..o__.Chthoniobacterales..f__.Chthoniobacteraceae..g__DA101.s__" 0 0 0.07 0.05 +"k__Bacteria.p__Acidobacteria.c__Acidobacteriia.o__Acidobacteriales.f__Koribacteraceae.g__Candidatus.Koribacter.s__.3" 0.05 0.09 0.31 0.31 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Legionellales.f__Coxiellaceae.g__Aquicella.s__" 0 0 0.05 0.04 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Micromonosporaceae.g__Couchioplanes.s__" 0 0 0.18 0.1 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Streptomycetaceae.g__Streptomyces.s__rubrolavendulae" 0 0 0.21 0.06 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Micromonosporaceae.g__Actinoplanes.s__toevensis" 0 0.03 0.12 0.04 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Rhizobiaceae.g__Sinorhizobium.s__" 0 0.02 0.07 0.06 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Microbacteriaceae.g__Salinibacterium.s__" 0.01 0.03 0.1 0.02 +"k__Bacteria.p__Verrucomicrobia.c__Opitutae.o__Opitutales.f__Opitutaceae.g__Opitutus.s__" 0 0.01 0.04 0.01 +"k__Bacteria.p__Verrucomicrobia.c__.Spartobacteria..o__.Chthoniobacterales..f__.Chthoniobacteraceae..g__DA101.s__.1" 0 0 0 0.02 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.10" 0 0 0.04 0.02 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Microbacteriaceae.g__Microbacterium.s__" 0 0 0.11 0.07 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Comamonadaceae.g__Variovorax.s__paradoxus" 0 0 0.07 0.08 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Brucellaceae.g__Ochrobactrum.s__" 0 0 0.07 0.03 +"k__Bacteria.p__Bacteroidetes.c__.Saprospirae..o__.Saprospirales..f__Chitinophagaceae.g__Segetibacter.s__" 0 0 0.26 0.06 +"k__Bacteria.p__Proteobacteria.c__Deltaproteobacteria.o__Bdellovibrionales.f__Bdellovibrionaceae.g__Bdellovibrio.s__.2" 0 0 0.03 0.05 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Rhizobiaceae.g__Rhizobium.s__leguminosarum" 0 0 0 0.04 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.4" 0 0 0 0.01 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Novosphingobium.s__.1" 0 0 0 0.03 +"k__Bacteria.p__Firmicutes.c__Clostridia.o__Clostridiales.f__Clostridiaceae.g__Clostridium.s__bowmanii" 0 0.01 0.11 0.03 +"k__Bacteria.p__Gemmatimonadetes.c__Gemmatimonadetes.o__Gemmatimonadales.f__Gemmatimonadaceae.g__Gemmatimonas.s__" 0 0 0 0.04 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Kaistobacter.s__" 0 0 0.05 0.05 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.11" 0 0 0.02 0.07 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Oxalobacteraceae.g__Janthinobacterium.s__" 0 0 0.02 0.05 +"k__Bacteria.p__Proteobacteria.c__Deltaproteobacteria.o__Desulfuromonadales.f__Geobacteraceae.g__Geobacter.s__" 0.01 0 0.13 0.05 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Nocardioidaceae.g__Friedmanniella.s__.1" 0 0 0.06 0.03 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.5" 0.01 0.03 0.19 0.08 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.6" 0.01 0.04 0.28 0.06 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.12" 0 0 0.05 0.05 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Mycobacteriaceae.g__Mycobacterium.s__.1" 0 0 0.1 0.04 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__" 0 0 0.04 0.07 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Kaistobacter.s__.1" 0 0 0 0.07 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Hyphomicrobium.s__" 0.14 0.17 0.43 0.04 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Methylocystaceae.g__Methylosinus.s__" 0 0 0.09 0.04 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Mycobacteriaceae.g__Mycobacterium.s__.2" 0 0 0.03 0.04 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Devosia.s__" 0 0 0.04 0.04 +"k__Bacteria.p__Nitrospirae.c__Nitrospira.o__Nitrospirales.f__Nitrospiraceae.g__Nitrospira.s__" 0 0.01 0.27 0.04 +"k__Bacteria.p__Firmicutes.c__Clostridia.o__Clostridiales.f__Peptostreptococcaceae.g__Clostridium.s__ruminantium" 0 0.01 0.07 0.04 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Sphingomonas.s__.1" 0 0.01 0.1 0.04 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__.1" 0 0 0.08 0.06 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__foraminis" 0 0.01 0.11 0.05 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.13" 0 0 0.07 0.06 +"k__Bacteria.p__Proteobacteria.c__Deltaproteobacteria.o__Myxococcales.f__Myxococcaceae.g__Anaeromyxobacter.s__" 0 0 0.1 0.04 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Novosphingobium.s__.2" 0 0 0.07 0.01 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.7" 0 0 0.13 0.13 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Paenibacillaceae.g__Brevibacillus.s__laterosporus" 0 0 0.11 0.04 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Actinosynnemataceae.g__Lentzea.s__violacea" 0 0 0.05 0.08 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.8" 0.92 0.89 0.94 0.59 +"k__Bacteria.p__Verrucomicrobia.c__.Spartobacteria..o__.Chthoniobacterales..f__.Chthoniobacteraceae..g__DA101.s__.2" 0 0 0 0.03 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Caulobacterales.f__Caulobacteraceae.g__Phenylobacterium.s__.1" 0 0 0.04 0.08 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Enterobacteriales.f__Enterobacteriaceae.g__Dickeya.s__" 0 0.03 0.07 0.08 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.14" 0 0 0 0.06 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Erythrobacteraceae.g__Erythromicrobium.s__" 0 0.01 0.04 0.05 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Paenibacillaceae.g__Paenibacillus.s__.2" 0 0.01 0.04 0.06 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Lactobacillales.f__Streptococcaceae.g__Streptococcus.s__" 0 0 0.03 0.06 +"k__Bacteria.p__Bacteroidetes.c__Bacteroidia.o__Bacteroidales.f__Porphyromonadaceae.g__Paludibacter.s__" 0 0 0.08 0.1 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.9" 0 0.02 0.19 0.06 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Streptomycetaceae.g__Streptomyces.s__triangulatus" 0 0 0.06 0.05 +"k__Bacteria.p__Bacteroidetes.c__.Saprospirae..o__.Saprospirales..f__Chitinophagaceae.g__Flavisolibacter.s__.1" 0 0 0.01 0.03 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.10" 0 0 0.01 0.04 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.15" 0 0 0.02 0.04 +"k__Bacteria.p__Acidobacteria.c__Acidobacteriia.o__Acidobacteriales.f__Koribacteraceae.g__Candidatus.Koribacter.s__.4" 0 0.05 0.23 0.06 +"k__Bacteria.p__Verrucomicrobia.c__.Spartobacteria..o__.Chthoniobacterales..f__.Chthoniobacteraceae..g__DA101.s__.3" 0 0.01 0.04 0.04 +"k__Bacteria.p__Bacteroidetes.c__Flavobacteriia.o__Flavobacteriales.f__Flavobacteriaceae.g__Flavobacterium.s__.1" 0 0 0.04 0.05 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Oxalobacteraceae.g__Ralstonia.s__" 0.01 0.01 0.12 0.07 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Nitrosomonadales.f__Nitrosomonadaceae.g__Nitrosomonas.s__oligotropha" 0 0 0.02 0.02 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Sphingomonas.s__.2" 0 0 0.06 0.04 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Pasteurellales.f__Pasteurellaceae.g__Haemophilus.s__parainfluenzae" 0 0 0.09 0.04 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Nocardioidaceae.g__Aeromicrobium.s__" 0 0 0.05 0.02 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Legionellales.f__Legionellaceae.g__Legionella.s__" 0 0 0.11 0.02 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Lactobacillales.f__Streptococcaceae.g__Streptococcus.s__.1" 0 0 0.1 0.05 +"k__Bacteria.p__Tenericutes.c__Mollicutes.o__Anaeroplasmatales.f__Anaeroplasmataceae.g__Asteroleplasma.s__" 0 0 0.06 0.01 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__.2" 0 0 0.02 0.05 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.16" 0 0 0 0.08 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Pseudomonadales.f__Moraxellaceae.g__Acinetobacter.s__rhizosphaerae" 0 0 0.07 0.07 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Streptomycetaceae.g__Streptomyces.s__.2" 0 0 0.11 0.03 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhodobacterales.f__Rhodobacteraceae.g__Rubellimicrobium.s__.1" 0 0 0.04 0 +"k__Bacteria.p__Bacteroidetes.c__Cytophagia.o__Cytophagales.f__Cytophagaceae.g__Adhaeribacter.s__.1" 0 0 0.03 0.03 +"k__Bacteria.p__Bacteroidetes.c__Flavobacteriia.o__Flavobacteriales.f__Flavobacteriaceae.g__Flavobacterium.s__.2" 0 0 0.02 0.05 +"k__Bacteria.p__Actinobacteria.c__Acidimicrobiia.o__Acidimicrobiales.f__Iamiaceae.g__Iamia.s__" 0 0 0.02 0.06 +"k__Bacteria.p__Actinobacteria.c__Rubrobacteria.o__Rubrobacterales.f__Rubrobacteraceae.g__Rubrobacter.s__.1" 0.01 0.01 0.02 0.08 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Bradyrhizobiaceae.g__Bradyrhizobium.s__" 0 0 0.05 0.11 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Sphingomonas.s__wittichii" 0 0 0.05 0.08 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Enterobacteriales.f__Enterobacteriaceae.g__Klebsiella.s__" 0 0 0.1 0.05 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Micromonosporaceae.g__Catellatospora.s__" 0 0 0.1 0.04 +"k__Bacteria.p__.Thermi..c__Deinococci.o__Deinococcales.f__Deinococcaceae.g__Deinococcus.s__.1" 0 0 0.09 0.08 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Microbacteriaceae.g__Salinibacterium.s__.1" 0 0 0.02 0.02 +"k__Bacteria.p__Firmicutes.c__Clostridia.o__Clostridiales.f__Clostridiaceae.g__Clostridium.s__.1" 0 0 0.1 0.06 +"k__Bacteria.p__Bacteroidetes.c__Flavobacteriia.o__Flavobacteriales.f__Flavobacteriaceae.g__Flavobacterium.s__.3" 0 0 0.1 0.03 +"k__Bacteria.p__Actinobacteria.c__Rubrobacteria.o__Rubrobacterales.f__Rubrobacteraceae.g__Rubrobacter.s__.2" 0 0 0.06 0.07 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Paenibacillaceae.g__Paenibacillus.s__.3" 0 0 0.1 0.05 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Nocardiaceae.g__Rhodococcus.s__" 0 0 0.1 0.05 +"k__Bacteria.p__Bacteroidetes.c__.Saprospirae..o__.Saprospirales..f__Chitinophagaceae.g__Flavisolibacter.s__.2" 0 0 0.04 0.03 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Mycobacteriaceae.g__Mycobacterium.s__.3" 0 0 0.04 0.05 +"k__Bacteria.p__Bacteroidetes.c__Flavobacteriia.o__Flavobacteriales.f__Flavobacteriaceae.g__Flavobacterium.s__.4" 0 0 0 0.07 +"k__Bacteria.p__Proteobacteria.c__Deltaproteobacteria.o__Desulfuromonadales.f__Geobacteraceae.g__Geobacter.s__.1" 0 0 0.05 0.11 +"k__Bacteria.p__Verrucomicrobia.c__.Spartobacteria..o__.Chthoniobacterales..f__.Chthoniobacteraceae..g__DA101.s__.4" 0 0 0.06 0.05 +"k__Bacteria.p__Firmicutes.c__Clostridia.o__Clostridiales.f__Veillonellaceae.g__Pelosinus.s__" 0 0.02 0.14 0.03 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhodospirillales.f__Rhodospirillaceae.g__Telmatospirillum.s__siberiense" 0 0 0.09 0.02 +"k__Bacteria.p__Bacteroidetes.c__Cytophagia.o__Cytophagales.f__Cytophagaceae.g__Dyadobacter.s__" 0 0 0.04 0.03 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.11" 0 0 0.06 0.06 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Pseudomonadales.f__Moraxellaceae.g__Acinetobacter.s__.1" 0 0.01 0.06 0.02 +"k__Bacteria.p__Verrucomicrobia.c__.Spartobacteria..o__.Chthoniobacterales..f__.Chthoniobacteraceae..g__DA101.s__.5" 0 0.02 0.11 0.02 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.17" 0.12 0.32 0.53 0.04 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Geodermatophilaceae.g__Geodermatophilus.s__" 0.02 0.01 0.15 0.03 +"k__Bacteria.p__Verrucomicrobia.c__.Spartobacteria..o__.Chthoniobacterales..f__.Chthoniobacteraceae..g__DA101.s__.6" 0 0.01 0.08 0.14 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Bradyrhizobiaceae.g__Bradyrhizobium.s__.1" 0 0.03 0.19 0.07 +"k__Bacteria.p__Proteobacteria.c__Deltaproteobacteria.o__Bdellovibrionales.f__Bdellovibrionaceae.g__Bdellovibrio.s__.3" 0 0 0.04 0.04 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Caulobacterales.f__Caulobacteraceae.g__Asticcacaulis.s__biprosthecium" 0 0.02 0.1 0.04 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Rhodocyclales.f__Rhodocyclaceae.g__Thauera.s__" 0 0 0 0.04 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Oxalobacteraceae.g__Cupriavidus.s__" 0 0.01 0.05 0.06 +"k__Bacteria.p__Acidobacteria.c__Acidobacteriia.o__Acidobacteriales.f__Koribacteraceae.g__Candidatus.Koribacter.s__.5" 0.03 0.04 0.09 0.17 +"k__Bacteria.p__Bacteroidetes.c__.Saprospirae..o__.Saprospirales..f__Chitinophagaceae.g__Flavihumibacter.s__" 0 0 0.02 0.04 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Micrococcaceae.g__Microbispora.s__rosea" 0 0 0.06 0.07 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Nocardioidaceae.g__Aeromicrobium.s__.1" 0 0 0.05 0.06 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Legionellales.f__Coxiellaceae.g__Aquicella.s__.1" 0 0 0.05 0.02 +"k__Bacteria.p__Verrucomicrobia.c__.Spartobacteria..o__.Chthoniobacterales..f__.Chthoniobacteraceae..g__DA101.s__.7" 0 0 0.09 0.03 +"k__Bacteria.p__Acidobacteria.c__Acidobacteriia.o__Acidobacteriales.f__Koribacteraceae.g__Candidatus.Koribacter.s__.6" 0 0 0.11 0.08 +"k__Bacteria.p__Verrucomicrobia.c__.Spartobacteria..o__.Chthoniobacterales..f__.Chthoniobacteraceae..g__DA101.s__.8" 0 0 0.04 0.03 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__muralis.1" 0 0 0.07 0.05 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Paenibacillaceae.g__Paenibacillus.s__lautus" 0 0 0.21 0.04 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.12" 0 0 0.03 0.12 +"k__Bacteria.p__Verrucomicrobia.c__Verrucomicrobiae.o__Verrucomicrobiales.f__Verrucomicrobiaceae.g__Luteolibacter.s__" 0 0 0.11 0.01 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Methylobacteriaceae.g__Methylobacterium.s__" 0 0 0.04 0.02 +"k__Bacteria.p__Bacteroidetes.c__Sphingobacteriia.o__Sphingobacteriales.f__Sphingobacteriaceae.g__Mucilaginibacter.s__kameinonensis" 0 0 0.2 0.04 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.13" 0 0 0.11 0.02 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Pedomicrobium.s__.2" 0 0 0.09 0.01 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.14" 0 0 0.02 0.06 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Streptosporangiaceae.g__Streptosporangium.s__pseudovulgare" 0 0 0.21 0.02 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Micromonosporaceae.g__Catellatospora.s__.1" 0 0 0.06 0.06 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Burkholderiaceae.g__Lautropia.s__" 0 0 0.08 0.05 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Oxalobacteraceae.g__Janthinobacterium.s__.1" 0 0 0 0.06 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Pasteurellales.f__Pasteurellaceae.g__Aggregatibacter.s__" 0 0 0.09 0.03 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhodospirillales.f__Rhodospirillaceae.g__Telmatospirillum.s__" 0 0 0.05 0.09 +"k__Bacteria.p__Nitrospirae.c__Nitrospira.o__Nitrospirales.f__Nitrospiraceae.g__Nitrospira.s__.1" 0 0 0.08 0.05 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.18" 0 0 0 0.04 +"k__Bacteria.p__Acidobacteria.c__Acidobacteriia.o__Acidobacteriales.f__Koribacteraceae.g__Candidatus.Koribacter.s__.7" 0 0 0.02 0.09 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.15" 0.02 0.07 0.19 0.11 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Sphingomonas.s__.3" 0 0 0.11 0.02 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.16" 0.22 0.34 0.53 0.45 +"k__Bacteria.p__Bacteroidetes.c__Cytophagia.o__Cytophagales.f__Cytophagaceae.g__Hymenobacter.s__" 0 0.01 0.13 0.04 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.19" 0 0 0.12 0.03 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Burkholderiaceae.g__Salinispora.s__" 0 0 0.09 0.06 +"k__Bacteria.p__Proteobacteria.c__Deltaproteobacteria.o__Desulfuromonadales.f__Geobacteraceae.g__Geobacter.s__.2" 0 0.01 0.1 0.06 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Novosphingobium.s__.3" 0 0 0.07 0.03 +"k__Bacteria.p__Bacteroidetes.c__Flavobacteriia.o__Flavobacteriales.f__.Weeksellaceae..g__Chryseobacterium.s__" 0 0 0.05 0.05 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Kaistobacter.s__.2" 0 0 0.01 0.03 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Burkholderiaceae.g__Salinispora.s__tropica" 0 0 0.07 0.1 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Hyphomicrobium.s__.1" 0 0 0.02 0.04 +"k__Bacteria.p__Bacteroidetes.c__Cytophagia.o__Cytophagales.f__Cytophagaceae.g__Hymenobacter.s__.1" 0 0 0.05 0.05 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Gallionellales.f__Gallionellaceae.g__Gallionella.s__" 0 0.01 0.13 0.09 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Intrasporangiaceae.g__Terracoccus.s__" 0 0 0.02 0.03 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Pseudonocardiaceae.g__Amycolatopsis.s__" 0 0.03 0.12 0.03 +"k__Bacteria.p__Bacteroidetes.c__.Saprospirae..o__.Saprospirales..f__Chitinophagaceae.g__Segetibacter.s__.1" 0.01 0.01 0.12 0.04 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Microbacteriaceae.g__Microbacterium.s__.1" 0 0 0.03 0.04 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Kaistobacter.s__.3" 0 0 0.05 0.07 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__.3" 0 0.01 0.01 0.05 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Sphingomonas.s__.4" 0 0 0.01 0.04 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Microbacteriaceae.g__Agromyces.s__.1" 0 0 0.1 0.05 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.17" 0 0.01 0.11 0.05 +"k__Bacteria.p__Bacteroidetes.c__.Saprospirae..o__.Saprospirales..f__Chitinophagaceae.g__Flavisolibacter.s__.3" 0 0 0.19 0.09 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.20" 0 0 0.09 0.05 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__.4" 0 0.11 0.38 0.04 +"k__Bacteria.p__Actinobacteria.c__Rubrobacteria.o__Rubrobacterales.f__Rubrobacteraceae.g__Rubrobacter.s__.3" 0 0.01 0.09 0.07 +"k__Bacteria.p__Armatimonadetes.c__.Fimbriimonadia..o__.Fimbriimonadales..f__.Fimbriimonadaceae..g__Fimbriimonas.s__" 0 0.01 0.03 0.03 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Rhizobiaceae.g__Agrobacterium.s__" 0 0 0.08 0.03 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Sphingobium.s__.1" 0 0 0 0.05 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Sphingomonas.s__.5" 0 0 0.09 0.04 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__.5" 0 0 0.1 0.03 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Nocardioidaceae.g__Aeromicrobium.s__.2" 0 0 0 0.02 +"k__Bacteria.p__Firmicutes.c__Clostridia.o__Clostridiales.f__Clostridiaceae.g__Clostridium.s__.2" 0 0 0.12 0.07 +"k__Bacteria.p__Bacteroidetes.c__Cytophagia.o__Cytophagales.f__Cytophagaceae.g__Rhodocytophaga.s__" 0 0 0.1 0.04 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Streptomycetaceae.g__Streptomyces.s__.3" 0 0 0.11 0.02 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Novosphingobium.s__.4" 0 0 0.12 0.06 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Comamonadaceae.g__Limnohabitans.s__" 0 0.01 0.12 0.09 +"k__Bacteria.p__Bacteroidetes.c__Flavobacteriia.o__Flavobacteriales.f__Flavobacteriaceae.g__Flavobacterium.s__.5" 0 0 0.09 0.06 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Devosia.s__.1" 0.04 0.08 0.35 0.07 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.21" 0 0 0.07 0.11 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__humi" 0 0.05 0.19 0.06 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__.6" 0 0 0.13 0.07 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Streptosporangiaceae.g__Streptosporangium.s__" 0 0 0.13 0.03 +"k__Bacteria.p__Proteobacteria.c__Deltaproteobacteria.o__Desulfuromonadales.f__Geobacteraceae.g__Geobacter.s__.3" 0 0 0.1 0.05 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Legionellales.f__Legionellaceae.g__Legionella.s__.1" 0 0 0.13 0.05 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Caulobacterales.f__Caulobacteraceae.g__Phenylobacterium.s__.2" 0 0 0.03 0.12 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Neisseriales.f__Neisseriaceae.g__Pseudogulbenkiania.s__subflava" 0 0 0.09 0.03 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Streptomycetaceae.g__Streptomyces.s__.4" 0 0 0.11 0.1 +"k__Bacteria.p__Proteobacteria.c__Deltaproteobacteria.o__Bdellovibrionales.f__Bdellovibrionaceae.g__Bdellovibrio.s__.4" 0 0 0.1 0.07 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__.7" 0 0 0.01 0.05 +"k__Bacteria.p__Bacteroidetes.c__Bacteroidia.o__Bacteroidales.f__Porphyromonadaceae.g__Porphyromonas.s__" 0 0 0.28 0.06 +"k__Bacteria.p__Firmicutes.c__Clostridia.o__Clostridiales.f__Clostridiaceae.g__Clostridium.s__.3" 0 0 0.16 0.04 +"k__Bacteria.p__Bacteroidetes.c__Cytophagia.o__Cytophagales.f__Cytophagaceae.g__Dyadobacter.s__.1" 0 0 0.1 0.08 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Mycobacteriaceae.g__Mycobacterium.s__.4" 0 0 0.15 0.04 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Phyllobacteriaceae.g__Mesorhizobium.s__huakuii" 0 0 0.1 0 +"k__Bacteria.p__Proteobacteria.c__Deltaproteobacteria.o__Bdellovibrionales.f__Bdellovibrionaceae.g__Bdellovibrio.s__.5" 0 0 0.15 0.1 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Sphingobium.s__.2" 0 0 0.13 0.05 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Streptomycetaceae.g__Streptomyces.s__.5" 0 0 0.06 0.03 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Streptomycetaceae.g__Streptomyces.s__scabrisporus" 0 0 0.07 0.06 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__flexus" 0 0 0.09 0.03 +"k__Bacteria.p__Bacteroidetes.c__.Saprospirae..o__.Saprospirales..f__Chitinophagaceae.g__Flavisolibacter.s__.4" 0 0 0 0.01 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Devosia.s__.2" 0.03 0.01 0.17 0.02 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Streptomycetaceae.g__Kitasatospora.s__" 0 0.07 0.4 0.07 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.18" 0 0.01 0.01 0.03 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.19" 0 0 0.03 0.07 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Comamonadaceae.g__Methylibium.s__.1" 0 0 0.22 0.04 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.20" 0 0 0.06 0.03 +"k__Bacteria.p__Bacteroidetes.c__.Saprospirae..o__.Saprospirales..f__Chitinophagaceae.g__Segetibacter.s__.2" 0 0 0 0.04 +"k__Bacteria.p__Bacteroidetes.c__Flavobacteriia.o__Flavobacteriales.f__Flavobacteriaceae.g__Flavobacterium.s__columnare" 0 0 0.14 0.03 +"k__Bacteria.p__Firmicutes.c__Clostridia.o__Clostridiales.f__Peptococcaceae.g__Desulfosporosinus.s__meridiei" 0 0 0.17 0.07 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Sphingomonas.s__.6" 0 0 0.04 0.02 +"k__Bacteria.p__Verrucomicrobia.c__.Spartobacteria..o__.Chthoniobacterales..f__.Chthoniobacteraceae..g__Candidatus.Xiphinematobacter.s__" 0.02 0.05 0.35 0.05 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Micromonosporaceae.g__Dactylosporangium.s__" 0 0.01 0.12 0.05 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Streptomycetaceae.g__Streptomyces.s__aculeolatus" 0 0 0.07 0.04 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Bradyrhizobiaceae.g__Nitrobacter.s__" 0.01 0.01 0.02 0.02 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Comamonadaceae.g__Methylibium.s__.2" 0 0 0.06 0.02 +"k__Bacteria.p__Bacteroidetes.c__Flavobacteriia.o__Flavobacteriales.f__Flavobacteriaceae.g__Flavobacterium.s__.6" 0 0 0.09 0.03 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.21" 0 0.01 0.14 0.07 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__.8" 0 0 0 0.04 +"k__Bacteria.p__Proteobacteria.c__Deltaproteobacteria.o__Myxococcales.f__Haliangiaceae.g__Haliangium.s__" 0 0 0.11 0.05 +"k__Bacteria.p__Bacteroidetes.c__.Saprospirae..o__.Saprospirales..f__Chitinophagaceae.g__Segetibacter.s__.3" 0 0 0.11 0.07 +"k__Bacteria.p__Acidobacteria.c__Acidobacteriia.o__Acidobacteriales.f__Koribacteraceae.g__Candidatus.Koribacter.s__.8" 0 0 0.01 0.03 +"k__Bacteria.p__Verrucomicrobia.c__.Spartobacteria..o__.Chthoniobacterales..f__.Chthoniobacteraceae..g__DA101.s__.9" 0 0 0.06 0.07 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.22" 0 0.01 0.08 0.04 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.23" 0 0 0 0.14 +"k__Bacteria.p__Acidobacteria.c__Holophagae.o__Holophagales.f__Holophagaceae.g__Geothrix.s__" 0 0 0.14 0.05 +"k__Bacteria.p__Chloroflexi.c__Chloroflexi.o__Chloroflexales.f__Oscillochloridaceae.g__Oscillochloris.s__" 0 0 0.13 0.03 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__.9" 0 0 0.1 0.05 +"k__Bacteria.p__Verrucomicrobia.c__.Spartobacteria..o__.Chthoniobacterales..f__.Chthoniobacteraceae..g__DA101.s__.10" 0 0 0.02 0.02 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Xanthomonadales.f__Sinobacteraceae.g__Steroidobacter.s__.1" 0 0 0.12 0.04 +"k__Bacteria.p__Bacteroidetes.c__.Saprospirae..o__.Saprospirales..f__Chitinophagaceae.g__Niastella.s__" 0 0 0.05 0.04 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhodospirillales.f__Rhodospirillaceae.g__Inquilinus.s__limosus" 0 0.01 0.28 0.03 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__.10" 0 0 0.01 0.03 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Novosphingobium.s__.5" 0 0 0.08 0.02 +"k__Bacteria.p__Verrucomicrobia.c__.Spartobacteria..o__.Chthoniobacterales..f__.Chthoniobacteraceae..g__Candidatus.Xiphinematobacter.s__.1" 0 0 0.09 0.02 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Oxalobacteraceae.g__Cupriavidus.s__gilardii" 0 0 0.04 0.04 +"k__Bacteria.p__Bacteroidetes.c__Flavobacteriia.o__Flavobacteriales.f__Flavobacteriaceae.g__Flavobacterium.s__.7" 0 0 0.09 0.06 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.22" 0 0 0.13 0.07 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Pseudonocardiaceae.g__Pseudonocardia.s__" 0.02 0.04 0.4 0.09 +"k__Bacteria.p__Acidobacteria.c__Acidobacteriia.o__Acidobacteriales.f__Koribacteraceae.g__Candidatus.Koribacter.s__.9" 0 0.04 0.24 0.07 +"k__Bacteria.p__Actinobacteria.c__Rubrobacteria.o__Rubrobacterales.f__Rubrobacteraceae.g__Rubrobacter.s__.4" 0 0 0.02 0.04 +"k__Bacteria.p__Bacteroidetes.c__Flavobacteriia.o__Flavobacteriales.f__Flavobacteriaceae.g__Flavobacterium.s__.8" 0 0 0 0.01 +"k__Bacteria.p__Verrucomicrobia.c__.Spartobacteria..o__.Chthoniobacterales..f__.Chthoniobacteraceae..g__DA101.s__.11" 0 0 0.03 0.06 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Rhodobiaceae.g__Afifella.s__.1" 0 0 0.08 0.09 +"k__Bacteria.p__Bacteroidetes.c__.Saprospirae..o__.Saprospirales..f__Chitinophagaceae.g__Flavisolibacter.s__.5" 0 0 0.12 0.03 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Oxalobacteraceae.g__Herminiimonas.s__.1" 0 0 0.11 0.06 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Methylocystaceae.g__Pleomorphomonas.s__" 0 0 0.13 0.04 +"k__Bacteria.p__Bacteroidetes.c__Cytophagia.o__Cytophagales.f__Cytophagaceae.g__Adhaeribacter.s__.2" 0 0 0.01 0.01 +"k__Bacteria.p__Firmicutes.c__Clostridia.o__Clostridiales.f__Clostridiaceae.g__Clostridium.s__.4" 0 0 0.09 0.07 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Bradyrhizobiaceae.g__Balneimonas.s__" 0 0.02 0.17 0.14 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Intrasporangiaceae.g__Phycicoccus.s__" 0 0 0.08 0.04 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Comamonadaceae.g__Leptothrix.s__.1" 0 0 0.01 0.09 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Burkholderiaceae.g__Burkholderia.s__" 0 0 0.13 0.03 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.24" 0 0 0.04 0.04 +"k__Bacteria.p__Bacteroidetes.c__Flavobacteriia.o__Flavobacteriales.f__Flavobacteriaceae.g__Flavobacterium.s__.9" 0 0 0.03 0.05 +"k__Bacteria.p__Actinobacteria.c__Rubrobacteria.o__Rubrobacterales.f__Rubrobacteraceae.g__Rubrobacter.s__.5" 0 0.01 0.05 0.06 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Phyllobacteriaceae.g__Phyllobacterium.s__" 0 0 0.08 0.06 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Rhodocyclales.f__Rhodocyclaceae.g__Rhodocyclus.s__" 0 0 0.15 0.08 +"k__Bacteria.p__Bacteroidetes.c__Sphingobacteriia.o__Sphingobacteriales.f__Sphingobacteriaceae.g__Pedobacter.s__" 0 0 0.11 0.05 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__.11" 0 0 0.01 0.07 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Xanthomonadales.f__Xanthomonadaceae.g__Stenotrophomonas.s__retroflexus" 0 0 0.09 0.05 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.23" 0.57 0.8 0.86 0.31 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Nocardioidaceae.g__Nocardioides.s__.1" 0 0 0.02 0.04 +"k__Bacteria.p__.Thermi..c__Deinococci.o__Deinococcales.f__Deinococcaceae.g__Deinococcus.s__.2" 0 0.01 0.12 0.04 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhodospirillales.f__Rhodospirillaceae.g__Telmatospirillum.s__siberiense.1" 0 0 0.05 0.08 +"k__Bacteria.p__Bacteroidetes.c__Flavobacteriia.o__Flavobacteriales.f__Flavobacteriaceae.g__Flavobacterium.s__.10" 0 0.01 0.03 0.08 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Oxalobacteraceae.g__Ralstonia.s__.1" 0 0.03 0.13 0.02 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Rhizobiaceae.g__Agrobacterium.s__.1" 0 0 0.02 0.05 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Legionellales.f__Coxiellaceae.g__Aquicella.s__.2" 0 0.01 0.1 0.03 +"k__Bacteria.p__Bacteroidetes.c__Sphingobacteriia.o__Sphingobacteriales.f__Sphingobacteriaceae.g__Mucilaginibacter.s__gracilis" 0 0.01 0.1 0.06 +"k__Bacteria.p__Proteobacteria.c__Deltaproteobacteria.o__Desulfuromonadales.f__Geobacteraceae.g__Geobacter.s__.4" 0.18 0.28 0.65 0.09 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Micromonosporaceae.g__Catenuloplanes.s__atrovinosus" 0 0 0.24 0.03 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Micromonosporaceae.g__Catellatospora.s__.2" 0 0 0.03 0.03 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.25" 0 0 0.14 0.02 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.26" 0 0.01 0.12 0.01 +"k__Bacteria.p__Bacteroidetes.c__.Saprospirae..o__.Saprospirales..f__Chitinophagaceae.g__Flavisolibacter.s__.6" 0 0 0.07 0.04 +"k__Bacteria.p__Bacteroidetes.c__Cytophagia.o__Cytophagales.f__Cytophagaceae.g__Sporocytophaga.s__" 0 0 0.1 0.02 +"k__Bacteria.p__Actinobacteria.c__Rubrobacteria.o__Rubrobacterales.f__Rubrobacteraceae.g__Rubrobacter.s__.6" 0 0 0.14 0.03 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.27" 0 0 0.03 0.03 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__.Exiguobacteraceae..g__Exiguobacterium.s__" 0 0 0.23 0.03 +"k__Bacteria.p__Bacteroidetes.c__Sphingobacteriia.o__Sphingobacteriales.f__Sphingobacteriaceae.g__Pedobacter.s__xinjiangensis" 0 0 0.03 0.01 +"k__Bacteria.p__Bacteroidetes.c__Sphingobacteriia.o__Sphingobacteriales.f__Sphingobacteriaceae.g__Pedobacter.s__.1" 0 0 0.08 0.04 +"k__Bacteria.p__Actinobacteria.c__Rubrobacteria.o__Rubrobacterales.f__Rubrobacteraceae.g__Rubrobacter.s__.7" 0 0 0.29 0.08 +"k__Bacteria.p__Cyanobacteria.c__Nostocophycideae.o__Nostocales.f__Nostocaceae.g__Nostoc.s__" 0 0 0.02 0.02 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Geodermatophilaceae.g__Modestobacter.s__" 0 0 0 0.05 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Comamonadaceae.g__Comamonas.s__" 0 0 0.11 0.07 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Xanthomonadales.f__Sinobacteraceae.g__Steroidobacter.s__.2" 0 0 0.04 0.06 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Planococcaceae.g__Sporosarcina.s__" 0 0 0.13 0.06 +"k__Bacteria.p__Verrucomicrobia.c__.Spartobacteria..o__.Chthoniobacterales..f__.Chthoniobacteraceae..g__DA101.s__.12" 0 0 0.04 0.06 +"k__Bacteria.p__Bacteroidetes.c__Cytophagia.o__Cytophagales.f__Cytophagaceae.g__Adhaeribacter.s__.3" 0 0 0.15 0.09 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Alteromonadales.f__Alteromonadaceae.g__Cellvibrio.s__" 0 0 0.14 0.06 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Oxalobacteraceae.g__Massilia.s__aerolata" 0.01 0 0.02 0.03 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Burkholderiaceae.g__Burkholderia.s__.1" 0 0 0 0.11 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Legionellales.f__Coxiellaceae.g__Aquicella.s__.3" 0 0 0.17 0.01 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Pseudonocardiaceae.g__Actinomycetospora.s__" 0 0 0 0.05 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Pseudomonadales.f__Pseudomonadaceae.g__Pseudomonas.s__" 0 0 0.23 0.07 +"k__Bacteria.p__Bacteroidetes.c__Flavobacteriia.o__Flavobacteriales.f__.Weeksellaceae..g__Chryseobacterium.s__.1" 0 0 0.09 0.03 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.28" 0 0 0.13 0.14 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Novosphingobium.s__.6" 0 0 0.09 0.06 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Rhodobiaceae.g__Afifella.s__.2" 0 0 0.11 0.01 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Burkholderiaceae.g__Burkholderia.s__.2" 0 0.01 0.02 0.06 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Nocardioidaceae.g__Nocardioides.s__.2" 0 0 0.05 0.03 +"k__Bacteria.p__Verrucomicrobia.c__.Spartobacteria..o__.Chthoniobacterales..f__.Chthoniobacteraceae..g__Chthoniobacter.s__" 0 0 0.18 0.04 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Methylococcales.f__Crenotrichaceae.g__Crenothrix.s__" 0 0 0.21 0.05 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.29" 0 0 0.04 0.01 +"k__Bacteria.p__Bacteroidetes.c__Flavobacteriia.o__Flavobacteriales.f__Flavobacteriaceae.g__Flavobacterium.s__.11" 0 0 0.01 0.04 +"k__Bacteria.p__Firmicutes.c__Clostridia.o__Clostridiales.f__Clostridiaceae.g__Clostridium.s__.5" 0 0 0.05 0.07 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Comamonadaceae.g__Polaromonas.s__.1" 0 0 0.07 0.08 +"k__Bacteria.p__Bacteroidetes.c__.Saprospirae..o__.Saprospirales..f__Chitinophagaceae.g__Flavisolibacter.s__.7" 0 0 0.08 0.06 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Comamonadaceae.g__Polaromonas.s__.2" 0 0 0.08 0.01 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.30" 0 0 0.02 0.03 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.24" 0 0 0.11 0.03 +"k__Bacteria.p__Gemmatimonadetes.c__Gemmatimonadetes.o__Gemmatimonadales.f__Gemmatimonadaceae.g__Gemmatimonas.s__.1" 0 0 0.22 0.06 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Kaistobacter.s__.4" 0 0 0.1 0 +"k__Bacteria.p__Verrucomicrobia.c__.Spartobacteria..o__.Chthoniobacterales..f__.Chthoniobacteraceae..g__DA101.s__.13" 0 0 0.07 0.01 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Legionellales.f__Coxiellaceae.g__Aquicella.s__.4" 0 0 0.04 0.04 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.31" 0 0 0.04 0.04 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Paenibacillaceae.g__Paenibacillus.s__.4" 0 0 0.05 0.06 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Oxalobacteraceae.g__Ralstonia.s__.2" 0 0 0.08 0.09 +"k__Bacteria.p__Bacteroidetes.c__Flavobacteriia.o__Flavobacteriales.f__Flavobacteriaceae.g__Flavobacterium.s__.12" 0 0 0.21 0.06 +"k__Bacteria.p__Bacteroidetes.c__.Saprospirae..o__.Saprospirales..f__Chitinophagaceae.g__Segetibacter.s__.4" 0 0.01 0.03 0.13 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Propionibacteriaceae.g__Microlunatus.s__" 0 0 0.03 0.03 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Actinosynnemataceae.g__Kibdelosporangium.s__" 0 0 0 0.08 +"k__Bacteria.p__Actinobacteria.c__Rubrobacteria.o__Rubrobacterales.f__Rubrobacteraceae.g__Rubrobacter.s__.8" 0 0 0.05 0.07 +"k__Bacteria.p__Actinobacteria.c__Rubrobacteria.o__Rubrobacterales.f__Rubrobacteraceae.g__Rubrobacter.s__.9" 0 0 0.1 0.03 +"k__Bacteria.p__Bacteroidetes.c__.Saprospirae..o__.Saprospirales..f__Chitinophagaceae.g__Segetibacter.s__.5" 0 0 0 0.02 +"k__Bacteria.p__Verrucomicrobia.c__.Spartobacteria..o__.Chthoniobacterales..f__.Chthoniobacteraceae..g__DA101.s__.14" 0 0 0.13 0.03 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Paenibacillaceae.g__Paenibacillus.s__.5" 0 0 0.14 0.06 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Rhizobiaceae.g__Agrobacterium.s__.2" 0 0 0.02 0.05 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Oxalobacteraceae.g__Cupriavidus.s__.1" 0 0 0.06 0.07 +"k__Bacteria.p__Bacteroidetes.c__Flavobacteriia.o__Flavobacteriales.f__Flavobacteriaceae.g__Capnocytophaga.s__" 0 0 0.08 0.03 +"k__Bacteria.p__Bacteroidetes.c__Flavobacteriia.o__Flavobacteriales.f__Flavobacteriaceae.g__Capnocytophaga.s__.1" 0 0 0.16 0.04 +"k__Bacteria.p__Bacteroidetes.c__Cytophagia.o__Cytophagales.f__Cytophagaceae.g__Hymenobacter.s__.2" 0 0 0.11 0.03 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__.12" 0 0 0.04 0.05 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Paenibacillaceae.g__Paenibacillus.s__.6" 0 0 0.04 0.04 +"k__Bacteria.p__Acidobacteria.c__Acidobacteriia.o__Acidobacteriales.f__Koribacteraceae.g__Candidatus.Koribacter.s__.10" 0 0 0.15 0.06 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.25" 0 0 0.16 0.08 +"k__Bacteria.p__Verrucomicrobia.c__.Spartobacteria..o__.Chthoniobacterales..f__.Chthoniobacteraceae..g__DA101.s__.15" 0 0.01 0.17 0.01 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Beutenbergiaceae.g__Beutenbergia.s__cavernae" 0 0 0.11 0.03 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Burkholderiaceae.g__Burkholderia.s__andropogonis" 0.01 0.1 0.54 0.06 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Microbacteriaceae.g__Microbacterium.s__.2" 0 0 0.14 0.05 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Caulobacterales.f__Caulobacteraceae.g__Phenylobacterium.s__.3" 0 0.01 0.09 0.06 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Enterobacteriales.f__Enterobacteriaceae.g__Erwinia.s__" 0 0.02 0.13 0.05 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Mycobacteriaceae.g__Mycobacterium.s__.5" 0 0.01 0.09 0.04 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__.13" 0 0 0.05 0.02 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Mycobacteriaceae.g__Mycobacterium.s__.6" 0 0 0.01 0.04 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__.14" 0 0 0.1 0.08 +"k__Bacteria.p__Firmicutes.c__Clostridia.o__Clostridiales.f__Clostridiaceae.g__Clostridium.s__.6" 0 0 0.07 0.02 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Nocardioidaceae.g__Kribbella.s__" 0 0 0.09 0.04 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Planococcaceae.g__Planomicrobium.s__" 0 0 0.21 0.06 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Sphingomonas.s__.7" 0 0 0.03 0 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Streptomycetaceae.g__Streptomyces.s__.6" 0 0 0.1 0.04 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhodobacterales.f__Rhodobacteraceae.g__Rubellimicrobium.s__.2" 0.07 0.07 0.36 0.14 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Methylobacteriaceae.g__Methylobacterium.s__adhaesivum" 0 0.03 0.12 0.03 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Caulobacterales.f__Caulobacteraceae.g__Caulobacter.s__" 0 0 0.02 0.06 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Caulobacterales.f__Caulobacteraceae.g__Phenylobacterium.s__.4" 0 0 0.01 0.02 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.26" 0.02 0.05 0.53 0.02 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Sphingobium.s__.3" 0 0 0.05 0.02 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Comamonadaceae.g__Hydrogenophaga.s__" 0 0.01 0.09 0.05 +"k__Bacteria.p__Proteobacteria.c__Deltaproteobacteria.o__Desulfuromonadales.f__Geobacteraceae.g__Geobacter.s__.5" 0 0 0.03 0.04 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Pseudomonadales.f__Pseudomonadaceae.g__Pseudomonas.s__.1" 0 0 0.16 0.1 +"k__Bacteria.p__Proteobacteria.c__Deltaproteobacteria.o__Desulfuromonadales.f__Geobacteraceae.g__Geobacter.s__.6" 0 0.01 0.15 0.03 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Caulobacterales.f__Caulobacteraceae.g__Phenylobacterium.s__.5" 0 0 0 0.07 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Comamonadaceae.g__Rhodoferax.s__" 0.02 0.05 0.28 0.07 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Nocardioidaceae.g__Nocardioides.s__.3" 0 0 0.13 0.04 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Planococcaceae.g__Planomicrobium.s__.1" 0 0 0.11 0.08 +"k__Bacteria.p__Actinobacteria.c__Rubrobacteria.o__Rubrobacterales.f__Rubrobacteraceae.g__Rubrobacter.s__.10" 0.05 0.05 0.59 0.45 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Pseudonocardiaceae.g__Pseudonocardia.s__.1" 0 0 0.07 0 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Comamonadaceae.g__Ramlibacter.s__" 0 0 0 0.06 +"k__Bacteria.p__Verrucomicrobia.c__.Spartobacteria..o__.Chthoniobacterales..f__.Chthoniobacteraceae..g__DA101.s__.16" 0 0 0.08 0.07 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.27" 0 0 0.03 0.01 +"k__Bacteria.p__Bacteroidetes.c__Cytophagia.o__Cytophagales.f__Cytophagaceae.g__Hymenobacter.s__.3" 0 0 0.12 0.08 +"k__Bacteria.p__Verrucomicrobia.c__.Spartobacteria..o__.Chthoniobacterales..f__.Chthoniobacteraceae..g__DA101.s__.17" 0 0 0.02 0.02 +"k__Bacteria.p__Acidobacteria.c__Acidobacteriia.o__Acidobacteriales.f__Acidobacteriaceae.g__Terriglobus.s__" 0 0 0.1 0.04 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Geodermatophilaceae.g__Geodermatophilus.s__obscurus" 0 0 0 0.03 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Streptomycetaceae.g__Streptomyces.s__.7" 0 0 0.02 0.04 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Streptomycetaceae.g__Streptomyces.s__.8" 0 0 0 0.01 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Planococcaceae.g__Solibacillus.s__" 0 0 0.08 0.04 +"k__Bacteria.p__Firmicutes.c__Clostridia.o__Clostridiales.f__Clostridiaceae.g__Clostridium.s__.7" 0 0.01 0.09 0.05 +"k__Bacteria.p__Nitrospirae.c__Nitrospira.o__Nitrospirales.f__Nitrospiraceae.g__Nitrospira.s__.2" 0 0 0.23 0.04 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.32" 0.01 0.01 0.15 0.14 +"k__Bacteria.p__Actinobacteria.c__Rubrobacteria.o__Rubrobacterales.f__Rubrobacteraceae.g__Rubrobacter.s__.11" 0.01 0.02 0.33 0.02 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Mycobacteriaceae.g__Mycobacterium.s__celatum" 0.02 0.03 0.32 0.23 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Xanthomonadales.f__Xanthomonadaceae.g__Thermomonas.s__" 0 0 0.08 0.03 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Sphingomonas.s__.8" 0 0 0.08 0.05 +"k__Bacteria.p__Bacteroidetes.c__Cytophagia.o__Cytophagales.f__Cytophagaceae.g__Hymenobacter.s__.4" 0 0 0.02 0.04 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Xanthomonadales.f__Xanthomonadaceae.g__Arenimonas.s__" 0 0 0.11 0.03 +"k__Bacteria.p__Bacteroidetes.c__Flavobacteriia.o__Flavobacteriales.f__Flavobacteriaceae.g__Flavobacterium.s__.13" 0 0 0.11 0.06 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.28" 0.2 0.27 0.49 0.13 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.29" 0 0.01 0.02 0.07 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__.15" 0 0 0.04 0.03 +"k__Bacteria.p__Proteobacteria.c__Deltaproteobacteria.o__Bdellovibrionales.f__Bdellovibrionaceae.g__Bdellovibrio.s__.6" 0 0 0.05 0.02 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.33" 0 0 0.08 0.05 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Comamonadaceae.g__Variovorax.s__" 0 0.01 0.19 0.02 +"k__Bacteria.p__Bacteroidetes.c__.Saprospirae..o__.Saprospirales..f__Chitinophagaceae.g__Segetibacter.s__.6" 0 0 0 0.04 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Burkholderiaceae.g__Burkholderia.s__.3" 0 0.01 0.17 0.03 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Pseudomonadales.f__Pseudomonadaceae.g__Pseudomonas.s__.2" 0 0 0.25 0.02 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Rhodobiaceae.g__Afifella.s__.3" 0 0.01 0.12 0.02 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__mycoides" 0 0 0.02 0.05 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Pseudomonadales.f__Moraxellaceae.g__Acinetobacter.s__.2" 0.15 0.24 0.64 0.09 +"k__Bacteria.p__Bacteroidetes.c__.Saprospirae..o__.Saprospirales..f__Chitinophagaceae.g__Flavisolibacter.s__.8" 0 0 0.08 0.04 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.30" 0.05 0.1 0.62 0.08 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Devosia.s__.3" 0 0 0.04 0.07 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Mycobacteriaceae.g__Mycobacterium.s__.7" 0 0 0.05 0.06 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Sphingomonas.s__wittichii.1" 0 0 0.09 0.06 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhodobacterales.f__Rhodobacteraceae.g__Loktanella.s__" 0 0.02 0.19 0.06 +"k__Bacteria.p__Firmicutes.c__Clostridia.o__Clostridiales.f__Veillonellaceae.g__Pelosinus.s__.1" 0 0 0.03 0.05 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Phyllobacteriaceae.g__Mesorhizobium.s__" 0 0 0 0.05 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Paenibacillaceae.g__Brevibacillus.s__" 0 0.06 0.4 0.05 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Planococcaceae.g__Solibacillus.s__.1" 0 0 0.1 0.02 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Streptomycetaceae.g__Streptomyces.s__.9" 0 0 0.02 0.06 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.34" 0 0 0 0.05 +"k__Bacteria.p__Verrucomicrobia.c__.Spartobacteria..o__.Chthoniobacterales..f__.Chthoniobacteraceae..g__DA101.s__.18" 0 0 0.07 0.06 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.31" 0 0.01 0.06 0.17 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.32" 0 0.01 0.21 0.07 +"k__Bacteria.p__Actinobacteria.c__Acidimicrobiia.o__Acidimicrobiales.f__Iamiaceae.g__Iamia.s__.1" 0 0 0.09 0.1 +"k__Bacteria.p__Proteobacteria.c__Deltaproteobacteria.o__Bdellovibrionales.f__Bdellovibrionaceae.g__Bdellovibrio.s__.7" 0 0 0.1 0.01 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Neisseriales.f__Neisseriaceae.g__Aquaspirillum.s__putridiconchylium" 0 0 0.15 0.01 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Rhodocyclales.f__Rhodocyclaceae.g__Uliginosibacterium.s__" 0 0 0.04 0.07 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Mycobacteriaceae.g__Mycobacterium.s__.8" 0 0.01 0.02 0.02 +"k__Bacteria.p__Verrucomicrobia.c__.Spartobacteria..o__.Chthoniobacterales..f__.Chthoniobacteraceae..g__DA101.s__.19" 0 0 0.06 0.05 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Phyllobacteriaceae.g__Mesorhizobium.s__.1" 0 0 0.07 0.04 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Paenibacillaceae.g__Brevibacillus.s__reuszeri" 0 0 0.11 0.02 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Rhodocyclales.f__Rhodocyclaceae.g__Azoarcus.s__" 0 0 0.04 0.07 +"k__Bacteria.p__Acidobacteria.c__Acidobacteriia.o__Acidobacteriales.f__Acidobacteriaceae.g__Granulicella.s__paludicola" 0 0 0.1 0.06 +"k__Bacteria.p__Actinobacteria.c__Thermoleophilia.o__Solirubrobacterales.f__Conexibacteraceae.g__Conexibacter.s__" 0 0 0.02 0.1 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Methylococcales.f__Crenotrichaceae.g__Crenothrix.s__.1" 0 0 0.02 0.08 +"k__Bacteria.p__Verrucomicrobia.c__.Spartobacteria..o__.Chthoniobacterales..f__.Chthoniobacteraceae..g__DA101.s__.20" 0 0 0.01 0 +"k__Bacteria.p__Bacteroidetes.c__Flavobacteriia.o__Flavobacteriales.f__Flavobacteriaceae.g__Flavobacterium.s__succinicans" 0 0 0.09 0.05 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Hyphomicrobium.s__.2" 0 0 0.13 0.06 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Planococcaceae.g__Planomicrobium.s__.2" 0 0 0.21 0.05 +"k__Bacteria.p__Bacteroidetes.c__Cytophagia.o__Cytophagales.f__Cytophagaceae.g__Rhodocytophaga.s__.1" 0 0.01 0.02 0.03 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Planococcaceae.g__Planomicrobium.s__.3" 0 0 0.1 0.08 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Streptosporangiaceae.g__Streptosporangium.s__.1" 0 0 0.05 0.03 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Novosphingobium.s__.7" 0 0 0.24 0.03 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Xanthomonadales.f__Sinobacteraceae.g__Nevskia.s__" 0 0 0.06 0.03 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.35" 0 0 0.01 0.03 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Gallionellales.f__Gallionellaceae.g__Gallionella.s__.1" 0.12 0.18 0.63 0.08 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Streptomycetaceae.g__Streptomyces.s__mirabilis" 0 0 0.03 0.06 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Xanthomonadales.f__Xanthomonadaceae.g__Dokdonella.s__.1" 0 0 0.1 0.04 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhodospirillales.f__Rhodospirillaceae.g__Azospirillum.s__" 0 0 0.11 0.08 +"k__Bacteria.p__Cyanobacteria.c__Synechococcophycideae.o__Pseudanabaenales.f__Pseudanabaenaceae.g__Leptolyngbya.s__" 0 0 0.05 0.06 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Rhizobiaceae.g__Agrobacterium.s__.3" 0 0 0.01 0.07 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Comamonadaceae.g__Xenophilus.s__aerolatus" 0 0 0.27 0.03 +"k__Bacteria.p__Cyanobacteria.c__Nostocophycideae.o__Nostocales.f__Nostocaceae.g__Nostoc.s__.1" 0 0 0.09 0.07 +"k__Bacteria.p__Bacteroidetes.c__.Saprospirae..o__.Saprospirales..f__Chitinophagaceae.g__Flavisolibacter.s__.9" 0.08 0.1 0.58 0.26 +"k__Bacteria.p__Bacteroidetes.c__.Saprospirae..o__.Saprospirales..f__Chitinophagaceae.g__Sediminibacterium.s__.1" 0.01 0.08 0.43 0.02 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Burkholderiaceae.g__Burkholderia.s__.4" 0 0 0.11 0.05 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Comamonadaceae.g__Hydrogenophaga.s__.1" 0 0 0.11 0.04 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Xanthomonadales.f__Sinobacteraceae.g__Steroidobacter.s__.3" 0 0 0.1 0.05 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Micromonosporaceae.g__Virgisporangium.s__ochraceum" 0 0 0.02 0.05 +"k__Bacteria.p__Bacteroidetes.c__.Saprospirae..o__.Saprospirales..f__Chitinophagaceae.g__Segetibacter.s__.7" 0 0 0.01 0.01 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Kaistobacter.s__.5" 0 0.01 0.06 0.05 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Rhizobiaceae.g__Agrobacterium.s__.4" 0 0 0.01 0.04 +"k__Bacteria.p__Verrucomicrobia.c__.Spartobacteria..o__.Chthoniobacterales..f__.Chthoniobacteraceae..g__DA101.s__.21" 0 0 0.11 0.02 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.36" 0.01 0.03 0.43 0.06 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Rhizobiaceae.g__Agrobacterium.s__.5" 0.01 0.01 0.01 0 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Rhodocyclales.f__Rhodocyclaceae.g__Thauera.s__.1" 0 0.01 0.11 0.07 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Pedomicrobium.s__.3" 0 0 0.02 0.01 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Cellulomonadaceae.g__Cellulomonas.s__" 0 0 0 0.09 +"k__Bacteria.p__Actinobacteria.c__Rubrobacteria.o__Rubrobacterales.f__Rubrobacteraceae.g__Rubrobacter.s__.12" 0 0 0.04 0.01 +"k__Bacteria.p__Nitrospirae.c__Nitrospira.o__Nitrospirales.f__Nitrospiraceae.g__Nitrospira.s__.3" 0 0.01 0.09 0.03 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Oxalobacteraceae.g__Janthinobacterium.s__.2" 0 0 0.02 0.01 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__selenatarsenatis" 0 0.01 0.02 0.06 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__.16" 0 0.01 0.12 0.03 +"k__Bacteria.p__Firmicutes.c__Clostridia.o__Clostridiales.f__Veillonellaceae.g__Pelosinus.s__.2" 0 0.01 0.17 0.04 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Streptomycetaceae.g__Streptomyces.s__.10" 0 0.05 0.21 0.04 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Pseudonocardiaceae.g__Pseudonocardia.s__halophobica" 0 0 0.23 0.06 +"k__Bacteria.p__Proteobacteria.c__Deltaproteobacteria.o__Desulfuromonadales.f__Geobacteraceae.g__Geobacter.s__.7" 0 0 0.01 0.05 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Micrococcaceae.g__Arthrobacter.s__sulfureus" 0 0 0.11 0.06 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__.17" 0 0 0.12 0.02 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Sphingomonas.s__.9" 0 0 0.08 0.07 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Rhodobiaceae.g__Afifella.s__.4" 0 0 0.17 0.02 +"k__Bacteria.p__Proteobacteria.c__Deltaproteobacteria.o__Syntrophobacterales.f__Syntrophaceae.g__Syntrophus.s__" 0.02 0.04 0.26 0.06 +"k__Bacteria.p__Bacteroidetes.c__Sphingobacteriia.o__Sphingobacteriales.f__Sphingobacteriaceae.g__Pedobacter.s__cryoconitis" 0.01 0.04 0.32 0.02 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Nocardioidaceae.g__Nocardioides.s__.4" 0 0 0.12 0.03 +"k__Bacteria.p__Firmicutes.c__Clostridia.o__Clostridiales.f__Lachnospiraceae.g__Blautia.s__" 0 0 0.12 0.02 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Streptosporangiaceae.g__Streptosporangium.s__.2" 0 0 0.1 0.07 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Comamonadaceae.g__Variovorax.s__paradoxus.1" 0 0 0.25 0.03 +"k__Bacteria.p__Bacteroidetes.c__Cytophagia.o__Cytophagales.f__Cytophagaceae.g__Rhodocytophaga.s__.2" 0.01 0.01 0.11 0.02 +"k__Bacteria.p__Actinobacteria.c__Rubrobacteria.o__Rubrobacterales.f__Rubrobacteraceae.g__Rubrobacter.s__.13" 0 0 0.11 0.04 +"k__Bacteria.p__Bacteroidetes.c__.Saprospirae..o__.Saprospirales..f__Chitinophagaceae.g__Flavisolibacter.s__.10" 0 0.01 0.02 0.06 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.33" 0.03 0.07 0.49 0.06 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Paenibacillaceae.g__Ammoniphilus.s__" 0 0.06 0.42 0.05 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__.18" 0 0.01 0.15 0.05 +"k__Bacteria.p__Bacteroidetes.c__.Saprospirae..o__.Saprospirales..f__Chitinophagaceae.g__Flavisolibacter.s__.11" 0 0.01 0.11 0.03 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Rhodocyclales.f__Rhodocyclaceae.g__Azoarcus.s__.1" 0 0.01 0.17 0.03 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Methylobacteriaceae.g__Methylobacterium.s__.1" 0 0 0.03 0.06 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.34" 0.01 0.01 0.17 0.06 +"k__Bacteria.p__Verrucomicrobia.c__.Spartobacteria..o__.Chthoniobacterales..f__.Chthoniobacteraceae..g__Candidatus.Xiphinematobacter.s__.2" 0.05 0.1 0.47 0.06 +"k__Bacteria.p__Bacteroidetes.c__Flavobacteriia.o__Flavobacteriales.f__Flavobacteriaceae.g__Flavobacterium.s__.14" 0 0 0.1 0.05 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Mycobacteriaceae.g__Mycobacterium.s__.9" 0 0.01 0.09 0.05 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__muralis.2" 0 0.01 0.23 0.03 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Burkholderiaceae.g__Burkholderia.s__.5" 0 0 0.1 0.04 +"k__Bacteria.p__Bacteroidetes.c__Flavobacteriia.o__Flavobacteriales.f__Flavobacteriaceae.g__Flavobacterium.s__.15" 0 0 0.11 0.02 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Nocardioidaceae.g__Kribbella.s__.1" 0 0 0.09 0.09 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__foraminis.1" 0 0.01 0.1 0.04 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Sphingomonas.s__.10" 0 0.01 0.13 0.06 +"k__Bacteria.p__Proteobacteria.c__Deltaproteobacteria.o__Bdellovibrionales.f__Bdellovibrionaceae.g__Bdellovibrio.s__.8" 0 0 0.11 0.04 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Streptosporangiaceae.g__Nonomuraea.s__" 0 0 0.23 0.07 +"k__Bacteria.p__Verrucomicrobia.c__.Spartobacteria..o__.Chthoniobacterales..f__.Chthoniobacteraceae..g__DA101.s__.22" 0 0 0.04 0.02 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Burkholderiaceae.g__Burkholderia.s__.6" 0 0 0.1 0.08 +"k__Bacteria.p__Verrucomicrobia.c__.Spartobacteria..o__.Chthoniobacterales..f__.Chthoniobacteraceae..g__DA101.s__.23" 0 0 0.03 0.06 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Sphingomonas.s__wittichii.2" 0 0 0.02 0.03 +"k__Bacteria.p__Proteobacteria.c__Deltaproteobacteria.o__Myxococcales.f__Polyangiaceae.g__Sorangium.s__cellulosum" 0 0.04 0.43 0.09 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Caulobacterales.f__Caulobacteraceae.g__Arthrospira.s__" 0 0 0.09 0.04 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__selenatarsenatis.1" 0 0 0.04 0.03 +"k__Bacteria.p__Bacteroidetes.c__Cytophagia.o__Cytophagales.f__Cytophagaceae.g__Rhodocytophaga.s__.3" 0 0.01 0.07 0.06 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Paenibacillaceae.g__Ammoniphilus.s__.1" 0 0 0.01 0.03 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.37" 0 0 0.06 0.04 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Rhizobiaceae.g__Agrobacterium.s__.6" 0 0 0.13 0.01 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Burkholderiaceae.g__Burkholderia.s__.7" 0 0 0.02 0.07 +"k__Bacteria.p__Bacteroidetes.c__Flavobacteriia.o__Flavobacteriales.f__Flavobacteriaceae.g__Flavobacterium.s__.16" 0 0 0.11 0.05 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Caulobacterales.f__Caulobacteraceae.g__Arthrospira.s__.1" 0 0 0.11 0.06 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Lactobacillales.f__Enterococcaceae.g__Enterococcus.s__" 0 0 0.23 0.05 +"k__Bacteria.p__Bacteroidetes.c__Flavobacteriia.o__Flavobacteriales.f__Flavobacteriaceae.g__Flavobacterium.s__.17" 0 0.01 0.21 0.06 +"k__Bacteria.p__Verrucomicrobia.c__.Spartobacteria..o__.Chthoniobacterales..f__.Chthoniobacteraceae..g__DA101.s__.24" 0 0 0.06 0.03 +"k__Bacteria.p__Bacteroidetes.c__Flavobacteriia.o__Flavobacteriales.f__Flavobacteriaceae.g__Flavobacterium.s__.18" 0 0 0.1 0.05 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Methylocystaceae.g__Methylosinus.s__.1" 0 0 0.11 0.03 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Xanthomonadales.f__Sinobacteraceae.g__Steroidobacter.s__.4" 0 0 0.06 0.03 +"k__Bacteria.p__Verrucomicrobia.c__.Spartobacteria..o__.Chthoniobacterales..f__.Chthoniobacteraceae..g__DA101.s__.25" 0 0 0 0.06 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Kaistobacter.s__.6" 0 0 0.05 0.04 +"k__Bacteria.p__Acidobacteria.c__Acidobacteriia.o__Acidobacteriales.f__Koribacteraceae.g__Candidatus.Koribacter.s__.11" 0.27 0.34 0.64 0.23 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.38" 0 0 0.03 0.01 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Comamonadaceae.g__Rubrivivax.s__.1" 0 0 0.05 0.05 +"k__Bacteria.p__Bacteroidetes.c__Cytophagia.o__Cytophagales.f__Cytophagaceae.g__Hymenobacter.s__.5" 0 0 0.03 0.04 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__.19" 0 0 0.16 0.06 +"k__Bacteria.p__Proteobacteria.c__Deltaproteobacteria.o__Myxococcales.f__Myxococcaceae.g__Anaeromyxobacter.s__.1" 0 0.01 0.14 0.08 +"k__Bacteria.p__Bacteroidetes.c__.Saprospirae..o__.Saprospirales..f__Chitinophagaceae.g__Flavisolibacter.s__.12" 0.08 0.09 0.22 0.12 +"k__Bacteria.p__Bacteroidetes.c__Flavobacteriia.o__Flavobacteriales.f__Flavobacteriaceae.g__Flavobacterium.s__.19" 0 0.01 0.13 0.02 +"k__Bacteria.p__Verrucomicrobia.c__Opitutae.o__Opitutales.f__Opitutaceae.g__Opitutus.s__.1" 0 0.01 0.24 0.03 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Bradyrhizobiaceae.g__Bradyrhizobium.s__.2" 0 0 0.03 0.1 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.35" 0.23 0.27 0.46 0.29 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.39" 0 0 0.04 0.06 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Lactobacillales.f__Streptococcaceae.g__Streptococcus.s__.2" 0 0.02 0.13 0.07 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.36" 0 0.01 0.11 0.11 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Sphingomonas.s__.11" 0 0.01 0.14 0.1 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Pasteurellales.f__Pasteurellaceae.g__Aggregatibacter.s__.1" 0 0 0.07 0.02 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Alicyclobacillaceae.g__Alicyclobacillus.s__" 0.01 0.01 0.15 0.03 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.40" 0.01 0.02 0.28 0.21 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Micrococcaceae.g__Arthrobacter.s__" 0.02 0.01 0.08 0.32 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.41" 0.03 0.06 0.12 0.07 +"k__Bacteria.p__Verrucomicrobia.c__.Spartobacteria..o__.Chthoniobacterales..f__.Chthoniobacteraceae..g__OR.59.s__" 0 0 0.04 0.06 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.42" 0 0 0.02 0.05 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Devosia.s__.4" 0 0.01 0.11 0.04 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.43" 0 0 0.02 0.15 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Micrococcaceae.g__Arthrobacter.s__.1" 0 0 0.01 0.06 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Thermomonosporaceae.g__Actinoallomurus.s__iriomotensis" 0 0 0 0.01 +"k__Bacteria.p__Chloroflexi.c__Chloroflexi.o__.Roseiflexales..f__.Kouleothrixaceae..g__Kouleothrix.s__" 0 0.03 0.39 0.06 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Rhodocyclales.f__Rhodocyclaceae.g__Zoogloea.s__" 0 0.01 0.09 0.04 +"k__Bacteria.p__Verrucomicrobia.c__.Spartobacteria..o__.Chthoniobacterales..f__.Chthoniobacteraceae..g__DA101.s__.26" 0 0.01 0.07 0.01 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Xanthomonadales.f__Sinobacteraceae.g__Steroidobacter.s__.5" 0 0 0.02 0.04 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Rhodocyclales.f__Rhodocyclaceae.g__KD1.23.s__" 0 0.01 0.19 0.06 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Comamonadaceae.g__Methylibium.s__.3" 0 0 0.01 0.04 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__flexus.1" 0 0 0.03 0.03 +"k__Bacteria.p__Proteobacteria.c__Deltaproteobacteria.o__Desulfuromonadales.f__Geobacteraceae.g__Geobacter.s__.8" 0 0 0.07 0.04 +"k__Bacteria.p__Verrucomicrobia.c__.Spartobacteria..o__.Chthoniobacterales..f__.Chthoniobacteraceae..g__DA101.s__.27" 0 0 0.07 0.02 +"k__Bacteria.p__Cyanobacteria.c__Nostocophycideae.o__Nostocales.f__Nostocaceae.g__Nostoc.s__punctiforme" 0 0 0.1 0.07 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Sphingomonas.s__wittichii.3" 0 0 0.14 0.06 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Devosia.s__.5" 0.01 0.04 0.14 0.07 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhodobacterales.f__Rhodobacteraceae.g__Paracoccus.s__" 0 0 0.1 0.03 +"k__Bacteria.p__Acidobacteria.c__Acidobacteriia.o__Acidobacteriales.f__Koribacteraceae.g__Candidatus.Koribacter.s__.12" 0.22 0.3 0.63 0.19 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Comamonadaceae.g__Leptothrix.s__.2" 0 0 0 0.03 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Burkholderiaceae.g__Salinispora.s__tropica.1" 0 0.01 0.13 0.06 +"k__Bacteria.p__Bacteroidetes.c__Cytophagia.o__Cytophagales.f__Cytophagaceae.g__Spirosoma.s__" 0 0 0.04 0.03 +"k__Bacteria.p__Cyanobacteria.c__Oscillatoriophycideae.o__Oscillatoriales.f__Phormidiaceae.g__Phormidium.s__" 0 0.01 0.18 0.05 +"k__Bacteria.p__Bacteroidetes.c__.Saprospirae..o__.Saprospirales..f__Chitinophagaceae.g__Segetibacter.s__.8" 0 0 0 0.24 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Burkholderiaceae.g__Salinispora.s__tropica.2" 0 0.09 0.41 0.07 +"k__Bacteria.p__Armatimonadetes.c__.Fimbriimonadia..o__.Fimbriimonadales..f__.Fimbriimonadaceae..g__Fimbriimonas.s__.1" 0 0.02 0.13 0.07 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Kaistobacter.s__.7" 0 0 0.04 0.05 +"k__Bacteria.p__Cyanobacteria.c__Nostocophycideae.o__Nostocales.f__Nostocaceae.g__Nostoc.s__spongiaeforme.AKM13" 0 0.01 0.09 0.03 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Mycobacteriaceae.g__Mycobacterium.s__.10" 0.01 0.05 0.13 0.06 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Rhodocyclales.f__Rhodocyclaceae.g__Propionivibrio.s__" 0 0.01 0.04 0.04 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Streptomycetaceae.g__Streptomyces.s__.11" 0 0.01 0.12 0.06 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Pseudonocardiaceae.g__Amycolatopsis.s__.1" 0 0 0.01 0.02 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Sphingobium.s__.4" 0 0 0.01 0.02 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhodospirillales.f__Acetobacteraceae.g__Acidocella.s__" 0 0.06 0.25 0.07 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Neisseriales.f__Neisseriaceae.g__Deefgea.s__" 0 0 0.18 0.03 +"k__Bacteria.p__Firmicutes.c__Clostridia.o__Clostridiales.f__Clostridiaceae.g__Clostridium.s__.8" 0 0.01 0.09 0.08 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Devosia.s__.6" 0 0 0.2 0.1 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Streptomycetaceae.g__Streptomyces.s__.12" 0 0 0.19 0.06 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.37" 0 0 0 0.04 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Kaistobacter.s__.8" 0.01 0.01 0.2 0.1 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.38" 0.3 0.39 0.6 0.22 +"k__Bacteria.p__Actinobacteria.c__Rubrobacteria.o__Rubrobacterales.f__Rubrobacteraceae.g__Rubrobacter.s__.14" 0.14 0.13 0.58 0.22 +"k__Bacteria.p__Verrucomicrobia.c__.Spartobacteria..o__.Chthoniobacterales..f__.Chthoniobacteraceae..g__DA101.s__.28" 0 0 0.09 0.08 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Burkholderiaceae.g__Burkholderia.s__.8" 0 0.02 0.12 0.06 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Caulobacterales.f__Caulobacteraceae.g__Phenylobacterium.s__.6" 0 0.01 0.18 0.04 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__badius" 0 0 0.01 0.01 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Xanthomonadales.f__Xanthomonadaceae.g__Lysobacter.s__" 0 0 0.07 0.1 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Pseudomonadales.f__Pseudomonadaceae.g__Pseudomonas.s__.3" 0 0 0.22 0.08 +"k__Bacteria.p__Proteobacteria.c__Deltaproteobacteria.o__Myxococcales.f__Myxococcaceae.g__Myxococcus.s__" 0 0 0.05 0.05 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Planococcaceae.g__Sporosarcina.s__.1" 0 0 0 0.01 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Legionellales.f__Legionellaceae.g__Tatlockia.s__" 0 0.01 0.11 0.05 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__.20" 0.01 0.01 0.01 0.05 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Micrococcaceae.g__Arthrobacter.s__pascens" 0 0 0.06 0.03 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Beijerinckiaceae.g__Methyloferula.s__stellata" 0 0 0.13 0.05 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Pseudonocardiaceae.g__Pseudonocardia.s__.2" 0 0 0.08 0.05 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Actinosynnemataceae.g__Saccharothrix.s__" 0 0 0.06 0.07 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Pseudomonadales.f__Pseudomonadaceae.g__Pseudomonas.s__.4" 0 0 0.17 0.05 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Caulobacterales.f__Caulobacteraceae.g__Nitrobacteria.s__hamadaniensis" 0.21 0.37 0.57 0.16 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Phyllobacteriaceae.g__Mesorhizobium.s__.2" 0 0.01 0.09 0.06 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Intrasporangiaceae.g__Phycicoccus.s__.1" 0 0.02 0.17 0.01 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Streptomycetaceae.g__Streptomyces.s__.13" 0 0.01 0.08 0.07 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Pseudomonadales.f__Pseudomonadaceae.g__Pseudomonas.s__stutzeri" 0 0.01 0.22 0.01 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Caulobacterales.f__Caulobacteraceae.g__Caulobacter.s__.1" 0 0.01 0.12 0.03 +"k__Bacteria.p__Bacteroidetes.c__.Saprospirae..o__.Saprospirales..f__Chitinophagaceae.g__Chitinophaga.s__" 0 0 0.09 0.13 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Comamonadaceae.g__Variovorax.s__paradoxus.2" 0 0 0 0.04 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Geodermatophilaceae.g__Geodermatophilus.s__.1" 0 0 0.07 0.03 +"k__Bacteria.p__Proteobacteria.c__Deltaproteobacteria.o__Syntrophobacterales.f__Syntrophaceae.g__Desulfobacca.s__" 0 0 0.08 0.03 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.39" 0 0.01 0.39 0.21 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.40" 0 0.02 0.11 0 +"k__Bacteria.p__Firmicutes.c__Clostridia.o__Clostridiales.f__Clostridiaceae.g__Clostridium.s__.9" 0 0 0.04 0.04 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Comamonadaceae.g__Roseateles.s__depolymerans" 0 0 0.01 0.07 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Gallionellales.f__Gallionellaceae.g__Gallionella.s__.2" 0 0 0.21 0.06 +"k__Bacteria.p__Proteobacteria.c__Deltaproteobacteria.o__Myxococcales.f__Myxococcaceae.g__Anaeromyxobacter.s__.2" 0 0 0.11 0.03 +"k__Bacteria.p__Bacteroidetes.c__Flavobacteriia.o__Flavobacteriales.f__Flavobacteriaceae.g__Flavobacterium.s__.20" 0 0.07 0.42 0.02 +"k__Bacteria.p__Bacteroidetes.c__Flavobacteriia.o__Flavobacteriales.f__Flavobacteriaceae.g__Flavobacterium.s__.21" 0 0 0.16 0.09 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Comamonadaceae.g__Acidovorax.s__defluvii" 0 0 0.09 0.06 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Enterobacteriales.f__Enterobacteriaceae.g__Erwinia.s__.1" 0 0 0.09 0.04 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.41" 0.01 0.01 0.33 0.05 +"k__Bacteria.p__Bacteroidetes.c__Flavobacteriia.o__Flavobacteriales.f__.Weeksellaceae..g__Chryseobacterium.s__.2" 0 0 0.08 0.01 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.42" 0 0 0.16 0.07 +"k__Bacteria.p__Bacteroidetes.c__Cytophagia.o__Cytophagales.f__Cytophagaceae.g__Adhaeribacter.s__.4" 0 0 0.04 0.04 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Pseudomonadales.f__Pseudomonadaceae.g__Pseudomonas.s__.5" 0 0 0.1 0.03 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Paenibacillaceae.g__Paenibacillus.s__.7" 0 0 0.13 0.03 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__.21" 0 0 0.05 0.01 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__.22" 0 0 0.09 0.07 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Comamonadaceae.g__Ramlibacter.s__.1" 0.03 0.03 0.11 0.05 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Hyphomicrobium.s__.3" 0 0 0 0.04 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.44" 0 0 0.07 0.06 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Lactobacillales.f__Carnobacteriaceae.g__Desemzia.s__" 0 0 0.14 0.04 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Bradyrhizobiaceae.g__Balneimonas.s__.1" 0 0 0.02 0.06 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Nocardiaceae.g__Nocardia.s__" 0 0 0.09 0.06 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Micromonosporaceae.g__Pilimelia.s__" 0 0 0 0.01 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Sphingomonas.s__wittichii.4" 0 0 0.1 0.02 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Bradyrhizobiaceae.g__Balneimonas.s__.2" 0.12 0.12 0.24 0.19 +"k__Bacteria.p__Firmicutes.c__Clostridia.o__Clostridiales.f__Clostridiaceae.g__Clostridium.s__bowmanii.1" 0 0 0.02 0.06 +"k__Bacteria.p__Bacteroidetes.c__.Saprospirae..o__.Saprospirales..f__Chitinophagaceae.g__Flavisolibacter.s__.13" 0 0 0.01 0.05 +"k__Bacteria.p__Bacteroidetes.c__Bacteroidia.o__Bacteroidales.f__Porphyromonadaceae.g__Paludibacter.s__.1" 0 0.01 0.16 0.07 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Lactobacillales.f__Streptococcaceae.g__Streptococcus.s__.3" 0 0 0.1 0.08 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Kaistobacter.s__.9" 0 0 0.09 0.05 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.45" 0 0.05 0.33 0.05 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Nocardiaceae.g__Nocardia.s__.1" 0 0 0.1 0.05 +"k__Bacteria.p__Bacteroidetes.c__.Saprospirae..o__.Saprospirales..f__Chitinophagaceae.g__Flavisolibacter.s__.14" 0 0 0.08 0.06 +"k__Bacteria.p__Bacteroidetes.c__Flavobacteriia.o__Flavobacteriales.f__Flavobacteriaceae.g__Flavobacterium.s__.22" 0 0 0.13 0.03 +"k__Bacteria.p__Bacteroidetes.c__Cytophagia.o__Cytophagales.f__Cytophagaceae.g__Adhaeribacter.s__.5" 0 0.04 0.12 0.05 +"k__Bacteria.p__Bacteroidetes.c__Cytophagia.o__Cytophagales.f__Cytophagaceae.g__Adhaeribacter.s__.6" 0 0 0.11 0.05 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Nocardioidaceae.g__Friedmanniella.s__.2" 0 0 0.26 0.05 +"k__Bacteria.p__Cyanobacteria.c__Oscillatoriophycideae.o__Oscillatoriales.f__Phormidiaceae.g__Phormidium.s__.1" 0 0 0.09 0.07 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.43" 0.02 0.04 0.37 0.09 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.46" 0 0 0.08 0.06 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Oxalobacteraceae.g__Janthinobacterium.s__.3" 0.08 0.07 0.28 0.01 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Actinosynnemataceae.g__Saccharothrix.s__.1" 0 0 0.06 0.04 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.47" 0 0 0.18 0.07 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Pseudomonadales.f__Moraxellaceae.g__Moraxella.s__" 0 0 0.09 0.06 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Paenibacillaceae.g__Paenibacillus.s__alvei" 0 0.01 0.17 0.05 +"k__Bacteria.p__Bacteroidetes.c__Flavobacteriia.o__Flavobacteriales.f__Flavobacteriaceae.g__Flavobacterium.s__succinicans.1" 0 0 0.14 0.07 +"k__Bacteria.p__Bacteroidetes.c__.Saprospirae..o__.Saprospirales..f__Chitinophagaceae.g__Segetibacter.s__.9" 0 0 0.05 0.03 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Bradyrhizobiaceae.g__Bradyrhizobium.s__.3" 0.01 0.02 0.05 0.03 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__.23" 0 0 0 0.05 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Planococcaceae.g__Planomicrobium.s__.4" 0 0 0 0.02 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Micromonosporaceae.g__Verrucosispora.s__gifhornensis" 0 0 0.24 0.04 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.48" 0 0 0.01 0.03 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Frankiaceae.g__Actinomycetales.s__Ellin122" 0 0 0.05 0.02 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Micromonosporaceae.g__Verrucosispora.s__" 0 0 0.1 0.05 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__humi.1" 0 0 0.05 0.08 +"k__Bacteria.p__Acidobacteria.c__Acidobacteriia.o__Acidobacteriales.f__Acidobacteriaceae.g__Acidicapsa.s__borealis" 0 0 0.04 0.07 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Devosia.s__.7" 0 0 0.15 0.04 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Burkholderiaceae.g__Burkholderia.s__.9" 0 0 0 0.07 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Methylobacteriaceae.g__Methylobacterium.s__mesophilicum" 0 0 0.12 0.05 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Rhodobiaceae.g__Afifella.s__.5" 0 0 0.03 0.04 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Micromonosporaceae.g__Virgisporangium.s__ochraceum.1" 0 0 0 0.03 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Phyllobacteriaceae.g__Defluvibacter.s__" 0 0 0.11 0.05 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Streptomycetaceae.g__Streptomyces.s__.14" 0 0 0.02 0.02 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__.24" 0 0 0.09 0.04 +"k__Bacteria.p__Bacteroidetes.c__Flavobacteriia.o__Flavobacteriales.f__Flavobacteriaceae.g__Flavobacterium.s__.23" 0 0 0.09 0.08 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Streptomycetaceae.g__Streptomyces.s__.15" 0 0 0.1 0.02 +"k__Bacteria.p__Acidobacteria.c__Acidobacteriia.o__Acidobacteriales.f__Koribacteraceae.g__Candidatus.Koribacter.s__.13" 0 0 0 0.03 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Xanthomonadales.f__Xanthomonadaceae.g__Aspromonas.s__composti" 0 0 0.07 0.06 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.49" 0.01 0.02 0.08 0.04 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Comamonadaceae.g__Methylibium.s__.4" 0 0 0.03 0.03 +"k__Bacteria.p__Actinobacteria.c__Rubrobacteria.o__Rubrobacterales.f__Rubrobacteraceae.g__Rubrobacter.s__.15" 0.15 0.1 0.54 0.36 +"k__Bacteria.p__Bacteroidetes.c__Cytophagia.o__Cytophagales.f__Cytophagaceae.g__Sporocytophaga.s__.1" 0 0 0.11 0.05 +"k__Bacteria.p__Bacteroidetes.c__.Saprospirae..o__.Saprospirales..f__Chitinophagaceae.g__Segetibacter.s__.10" 0 0 0.07 0.07 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Microbacteriaceae.g__Agromyces.s__.2" 0 0 0.11 0.02 +"k__Bacteria.p__Bacteroidetes.c__.Saprospirae..o__.Saprospirales..f__Chitinophagaceae.g__Flavisolibacter.s__.15" 0 0 0.04 0.05 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Comamonadaceae.g__Methylibium.s__.5" 0 0 0.1 0.05 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Alicyclobacillaceae.g__Alicyclobacillus.s__.1" 0 0 0.13 0.05 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.50" 0.2 0.25 0.61 0.5 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Comamonadaceae.g__Rubrivivax.s__.2" 0 0 0.19 0.05 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.51" 0 0 0.14 0.04 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__cereus" 0 0 0.15 0.04 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Burkholderiaceae.g__Burkholderia.s__.10" 0 0.03 0.24 0.04 +"k__Bacteria.p__Verrucomicrobia.c__.Spartobacteria..o__.Chthoniobacterales..f__.Chthoniobacteraceae..g__DA101.s__.29" 0 0 0.05 0.1 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhodospirillales.f__Acetobacteraceae.g__Belnapia.s__moabensis" 0 0 0.02 0.05 +"k__Bacteria.p__Firmicutes.c__Clostridia.o__Clostridiales.f__Clostridiaceae.g__Clostridium.s__.10" 0 0 0.08 0.05 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Sphingomonas.s__.12" 0 0 0.1 0.06 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__.25" 0 0 0 0.03 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Actinosynnemataceae.g__Lentzea.s__" 0 0 0.29 0.04 +"k__Bacteria.p__Chloroflexi.c__Anaerolineae.o__Ardenscatenales.f__Ardenscatenaceae.g__Ardenscatena.s__" 0 0 0.1 0.09 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Propionibacteriaceae.g__Microlunatus.s__.1" 0 0 0.01 0.06 +"k__Bacteria.p__Bacteroidetes.c__Flavobacteriia.o__Flavobacteriales.f__Flavobacteriaceae.g__Flavobacterium.s__.24" 0 0 0.01 0.03 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.52" 0.08 0.11 0.6 0.03 +"k__Bacteria.p__Verrucomicrobia.c__Opitutae.o__Opitutales.f__Opitutaceae.g__Opitutus.s__.2" 0 0.01 0.09 0.11 +"k__Bacteria.p__Bacteroidetes.c__Cytophagia.o__Cytophagales.f__Cytophagaceae.g__Rhodocytophaga.s__.4" 0 0.01 0.15 0.04 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Sphingomonas.s__wittichii.5" 0 0 0 0.02 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Xanthomonadales.f__Xanthomonadaceae.g__Lysobacter.s__.1" 0 0 0.11 0.02 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Rhodocyclales.f__Rhodocyclaceae.g__Dechloromonas.s__" 0 0.01 0.09 0.06 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Nocardioidaceae.g__Nocardioides.s__.5" 0 0 0.21 0.02 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Mycobacteriaceae.g__Mycobacterium.s__.11" 0 0 0.17 0.08 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__.26" 0 0 0.01 0.03 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Streptosporangiaceae.g__Microbispora.s__mesophila" 0 0 0.11 0.05 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Devosia.s__.8" 0 0 0.16 0.05 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Xanthomonadales.f__Sinobacteraceae.g__Steroidobacter.s__.6" 0 0.01 0.33 0.1 +"k__Bacteria.p__Firmicutes.c__Clostridia.o__Clostridiales.f__Peptococcaceae.g__Desulfosporosinus.s__" 0 0 0.1 0.03 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Micromonosporaceae.g__Pilimelia.s__.1" 0 0 0.03 0.06 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.53" 0 0 0.06 0.04 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Rhodocyclales.f__Rhodocyclaceae.g__Methyloversatilis.s__" 0 0 0.13 0 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Pseudonocardiaceae.g__Amycolatopsis.s__.2" 0 0.04 0.08 0.03 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Xanthomonadales.f__Xanthomonadaceae.g__Stenotrophomonas.s__acidaminiphila" 0 0 0.12 0.06 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.54" 0 0 0 0.03 +"k__Bacteria.p__Actinobacteria.c__Nitriliruptoria.o__Euzebyales.f__Euzebyaceae.g__Euzebya.s__" 0 0 0.24 0.05 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Rhodobiaceae.g__Afifella.s__.6" 0 0 0.13 0.03 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Comamonadaceae.g__Leptothrix.s__.3" 0 0 0.01 0.03 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Caulobacterales.f__Caulobacteraceae.g__Mycoplana.s__" 0 0 0.13 0.05 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Comamonadaceae.g__Methylibium.s__.6" 0.08 0.12 0.39 0.12 +"k__Bacteria.p__Bacteroidetes.c__Cytophagia.o__Cytophagales.f__Cytophagaceae.g__Adhaeribacter.s__.7" 0.03 0.03 0.18 0.01 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Devosia.s__.9" 0 0 0.12 0.07 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__.27" 0 0 0.14 0.06 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Pseudomonadales.f__Pseudomonadaceae.g__Pseudomonas.s__.6" 0 0 0.18 0.06 +"k__Bacteria.p__Proteobacteria.c__Deltaproteobacteria.o__Desulfuromonadales.f__Geobacteraceae.g__Geobacter.s__.9" 0 0 0.03 0.06 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Methylophilales.f__Methylophilaceae.g__Methylotenera.s__mobilis" 0 0 0.09 0.05 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.55" 0 0 0.01 0.04 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.56" 0 0 0.04 0.01 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Burkholderiaceae.g__Salinispora.s__.1" 0 0 0.11 0.06 +"k__Bacteria.p__Firmicutes.c__Clostridia.o__Clostridiales.f__Clostridiaceae.g__Clostridium.s__.11" 0 0 0.03 0.05 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Paenibacillaceae.g__Paenibacillus.s__.8" 0 0 0.06 0.03 +"k__Bacteria.p__Bacteroidetes.c__Flavobacteriia.o__Flavobacteriales.f__Flavobacteriaceae.g__Flavobacterium.s__.25" 0 0 0.02 0.02 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Hyphomicrobium.s__.4" 0 0 0.16 0.07 +"k__Bacteria.p__Cyanobacteria.c__Synechococcophycideae.o__Pseudanabaenales.f__Pseudanabaenaceae.g__Leptolyngbya.s__frigida" 0 0 0.17 0.06 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Paenibacillaceae.g__Paenibacillus.s__larvae" 0 0 0.11 0.03 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Pseudonocardiaceae.g__Amycolatopsis.s__.3" 0 0 0.05 0.06 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Sphingomonas.s__.13" 0 0 0.08 0.04 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Xanthomonadales.f__Sinobacteraceae.g__Steroidobacter.s__.7" 0 0.03 0.07 0.06 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Legionellales.f__Legionellaceae.g__Legionella.s__.2" 0 0 0.07 0.05 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.44" 0 0 0.12 0.04 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rickettsiales.f__mitochondria.g__Anomodon.s__rugelii" 0 0 0.15 0.09 +"k__Bacteria.p__Verrucomicrobia.c__.Spartobacteria..o__.Chthoniobacterales..f__.Chthoniobacteraceae..g__DA101.s__.30" 0 0 0.01 0.01 +"k__Bacteria.p__Bacteroidetes.c__Cytophagia.o__Cytophagales.f__Cytophagaceae.g__Adhaeribacter.s__.8" 0 0 0.08 0.03 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Streptomycetaceae.g__Streptomyces.s__.16" 0 0 0 0 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Comamonadaceae.g__Limnohabitans.s__.1" 0 0.01 0.11 0.06 +"k__Bacteria.p__Proteobacteria.c__Deltaproteobacteria.o__.Entotheonellales..f__.Entotheonellaceae..g__Candidatus.Entotheonella.s__.1" 0 0 0.07 0.06 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Comamonadaceae.g__Polaromonas.s__.3" 0 0 0.09 0.04 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Micrococcaceae.g__Arthrobacter.s__.2" 0 0 0.06 0.01 +"k__Bacteria.p__Bacteroidetes.c__.Saprospirae..o__.Saprospirales..f__Chitinophagaceae.g__Flavisolibacter.s__.16" 0 0 0.06 0.06 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Sphingomonas.s__.14" 0 0.01 0.05 0.05 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.57" 0 0 0.04 0.07 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__.28" 0 0 0.1 0.04 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.58" 0.01 0.03 0.17 0.09 +"k__Bacteria.p__Proteobacteria.c__Deltaproteobacteria.o__Desulfuromonadales.f__Geobacteraceae.g__Geobacter.s__.10" 0.05 0.15 0.32 0.09 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhodospirillales.f__Acetobacteraceae.g__Roseomonas.s__" 0 0 0.02 0.05 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Oxalobacteraceae.g__Janthinobacterium.s__.4" 0 0 0.02 0.05 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhodospirillales.f__Rhodospirillaceae.g__Skermanella.s__" 0 0 0.04 0.04 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Burkholderiaceae.g__Burkholderia.s__.11" 0 0 0.01 0.07 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Geobacillus.s__" 0 0 0.04 0.02 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Xanthomonadales.f__Sinobacteraceae.g__Steroidobacter.s__.8" 0.14 0.16 0.41 0.1 +"k__Bacteria.p__Bacteroidetes.c__Sphingobacteriia.o__Sphingobacteriales.f__Sphingobacteriaceae.g__Pedobacter.s__.2" 0 0 0.01 0.04 +"k__Bacteria.p__Firmicutes.c__Clostridia.o__Clostridiales.f__Clostridiaceae.g__Clostridium.s__.12" 0 0 0.14 0.05 +"k__Bacteria.p__Bacteroidetes.c__Cytophagia.o__Cytophagales.f__Cytophagaceae.g__Hymenobacter.s__.6" 0 0 0.05 0.05 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Paenibacillaceae.g__Paenibacillus.s__.9" 0 0 0.1 0.06 +"k__Bacteria.p__Bacteroidetes.c__.Saprospirae..o__.Saprospirales..f__Chitinophagaceae.g__Flavisolibacter.s__.17" 0 0 0 0.02 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Microbacteriaceae.g__Salinibacterium.s__.2" 0 0 0.08 0.06 +"k__Bacteria.p__Tenericutes.c__Mollicutes.o__Anaeroplasmatales.f__Anaeroplasmataceae.g__Asteroleplasma.s__.1" 0 0 0.19 0.05 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__.29" 0 0 0.07 0.07 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Legionellales.f__Legionellaceae.g__Legionella.s__.3" 0 0 0.08 0.05 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhodospirillales.f__Acetobacteraceae.g__Roseomonas.s__aerilata" 0 0 0.09 0.01 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Rhizobiaceae.g__Shinella.s__" 0 0 0.06 0.04 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.59" 0 0 0.02 0.02 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Oxalobacteraceae.g__Cupriavidus.s__gilardii.1" 0 0 0.09 0.05 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.60" 0 0 0.12 0.14 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Paenibacillaceae.g__Paenibacillus.s__.10" 0 0 0.13 0.06 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Pedomicrobium.s__australicum" 0 0 0.06 0.08 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Sphingomonas.s__.15" 0 0 0.06 0 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Geodermatophilaceae.g__Geodermatophilus.s__.2" 0.07 0.04 0.24 0.17 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Devosia.s__.10" 0 0 0.08 0.05 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Xanthomonadales.f__Xanthomonadaceae.g__Dokdonella.s__.2" 0 0 0.08 0.06 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Oxalobacteraceae.g__Janthinobacterium.s__.5" 0 0 0.13 0.01 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Rhodobiaceae.g__Afifella.s__.7" 0 0 0.09 0.03 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Kaistobacter.s__.10" 0 0 0.04 0.03 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__.30" 0 0 0.05 0.07 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Pseudomonadales.f__Pseudomonadaceae.g__Pseudomonas.s__fragi" 0 0 0.11 0.06 +"k__Bacteria.p__Bacteroidetes.c__Cytophagia.o__Cytophagales.f__Cytophagaceae.g__Spirosoma.s__.1" 0 0 0.03 0.01 +"k__Bacteria.p__Gemmatimonadetes.c__Gemmatimonadetes.o__Gemmatimonadales.f__Gemmatimonadaceae.g__Gemmatimonas.s__.2" 0 0 0.23 0.03 +"k__Bacteria.p__Proteobacteria.c__Deltaproteobacteria.o__Myxococcales.f__Polyangiaceae.g__Sorangium.s__cellulosum.1" 0 0 0.02 0.01 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__thuringiensis" 0 0 0.09 0.02 +"k__Bacteria.p__Acidobacteria.c__Acidobacteriia.o__Acidobacteriales.f__Koribacteraceae.g__Candidatus.Koribacter.s__.14" 0 0 0.05 0.07 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhodospirillales.f__Rhodospirillaceae.g__Skermanella.s__.1" 0 0 0.04 0.05 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Methylobacteriaceae.g__Methylobacterium.s__.2" 0 0 0.01 0.01 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Xanthomonadales.f__Xanthomonadaceae.g__Lysobacter.s__.2" 0 0 0.06 0.08 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Microbacteriaceae.g__Curtobacterium.s__" 0 0 0.12 0.11 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Streptomycetaceae.g__Streptomyces.s__.17" 0 0 0 0.03 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Pedomicrobium.s__.4" 0.18 0.22 0.59 0.04 +"k__Bacteria.p__Bacteroidetes.c__Flavobacteriia.o__Flavobacteriales.f__Flavobacteriaceae.g__Flavobacterium.s__.26" 0 0 0.15 0.02 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Devosia.s__.11" 0.01 0.02 0.2 0.08 +"k__Bacteria.p__Verrucomicrobia.c__.Spartobacteria..o__.Chthoniobacterales..f__.Chthoniobacteraceae..g__DA101.s__.31" 0 0 0.03 0.12 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Thermomonosporaceae.g__Actinomadura.s__alba" 0 0.01 0.1 0.01 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Paenibacillaceae.g__Paenibacillus.s__.11" 0 0.01 0.08 0.06 +"k__Bacteria.p__Actinobacteria.c__Rubrobacteria.o__Rubrobacterales.f__Rubrobacteraceae.g__Rubrobacter.s__.16" 0 0.01 0.12 0.14 +"k__Bacteria.p__Bacteroidetes.c__.Saprospirae..o__.Saprospirales..f__Chitinophagaceae.g__Segetibacter.s__.11" 0 0.01 0.04 0.08 +"k__Bacteria.p__Bacteroidetes.c__Flavobacteriia.o__Flavobacteriales.f__Flavobacteriaceae.g__Flavobacterium.s__succinicans.2" 0 0 0.02 0.04 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Bradyrhizobiaceae.g__Bosea.s__genosp." 0 0.01 0.1 0.03 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Alteromonadales.f__Alteromonadaceae.g__Cellvibrio.s__.1" 0 0.01 0.22 0.06 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Devosia.s__.12" 0 0.01 0.02 0.05 +"k__Bacteria.p__Firmicutes.c__Clostridia.o__Clostridiales.f__Lachnospiraceae.g__Coprococcus.s__" 0 0 0.1 0.03 +"k__Bacteria.p__Bacteroidetes.c__.Saprospirae..o__.Saprospirales..f__Chitinophagaceae.g__Flavisolibacter.s__.18" 0 0 0.02 0.01 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Oxalobacteraceae.g__Ralstonia.s__.3" 0 0.07 0.41 0.07 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Methylobacteriaceae.g__Methylobacterium.s__adhaesivum.1" 0 0.01 0.03 0.03 +"k__Bacteria.p__Bacteroidetes.c__Flavobacteriia.o__Flavobacteriales.f__Flavobacteriaceae.g__Flavobacterium.s__.27" 0 0 0.01 0.04 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Microbacteriaceae.g__Agromyces.s__.3" 0 0 0.07 0.06 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Kaistobacter.s__.11" 0 0 0.01 0.06 +"k__Bacteria.p__Armatimonadetes.c__.Fimbriimonadia..o__.Fimbriimonadales..f__.Fimbriimonadaceae..g__Fimbriimonas.s__.2" 0 0.01 0.05 0.04 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__firmus" 0 0 0.14 0.07 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Legionellales.f__Coxiellaceae.g__Aquicella.s__.5" 0 0.02 0.24 0.08 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Kaistobacter.s__.12" 0 0 0.07 0.02 +"k__Bacteria.p__Chloroflexi.c__Anaerolineae.o__Ardenscatenales.f__Ardenscatenaceae.g__Ardenscatena.s__.1" 0 0 0.04 0.04 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Micromonosporaceae.g__Catellatospora.s__.3" 0 0 0.11 0.05 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Geodermatophilaceae.g__Geodermatophilus.s__.3" 0 0 0.04 0.05 +"k__Bacteria.p__Nitrospirae.c__Nitrospira.o__Nitrospirales.f__Nitrospiraceae.g__Nitrospira.s__.4" 0 0 0.03 0.02 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.45" 0 0 0.12 0.07 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Micromonosporaceae.g__Catellatospora.s__.4" 0 0 0.09 0.09 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Xanthomonadales.f__Xanthomonadaceae.g__Pseudoxanthomonas.s__indica" 0 0 0.11 0.05 +"k__Bacteria.p__Actinobacteria.c__Rubrobacteria.o__Rubrobacterales.f__Rubrobacteraceae.g__Rubrobacter.s__.17" 0 0 0.03 0.02 +"k__Bacteria.p__Bacteroidetes.c__Flavobacteriia.o__Flavobacteriales.f__Flavobacteriaceae.g__Flavobacterium.s__.28" 0 0 0.02 0.01 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__.31" 0 0 0.01 0.03 +"k__Bacteria.p__Proteobacteria.c__Deltaproteobacteria.o__Desulfuromonadales.f__Geobacteraceae.g__Geobacter.s__.11" 0 0 0.11 0.07 +"k__Bacteria.p__Verrucomicrobia.c__.Spartobacteria..o__.Chthoniobacterales..f__.Chthoniobacteraceae..g__DA101.s__.32" 0 0.04 0.3 0.03 +"k__Bacteria.p__Bacteroidetes.c__Sphingobacteriia.o__Sphingobacteriales.f__Sphingobacteriaceae.g__Pedobacter.s__.3" 0 0 0.01 0.05 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.61" 0 0 0.04 0.02 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.62" 0.02 0.11 0.48 0.1 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__.32" 0 0 0.01 0.05 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Rhodobiaceae.g__Afifella.s__.8" 0 0.01 0.08 0.01 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__.33" 0 0.01 0.1 0.04 +"k__Bacteria.p__Bacteroidetes.c__Cytophagia.o__Cytophagales.f__Cytophagaceae.g__Adhaeribacter.s__.9" 0.03 0.02 0.09 0.19 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Microbacteriaceae.g__Microbacterium.s__.3" 0 0 0.09 0.03 +"k__Bacteria.p__Proteobacteria.c__Deltaproteobacteria.o__Myxococcales.f__Polyangiaceae.g__Sorangium.s__cellulosum.2" 0 0.01 0.29 0.07 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Microbacteriaceae.g__Salinibacterium.s__.3" 0 0.01 0.01 0.06 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Nitrosomonadales.f__Nitrosomonadaceae.g__Nitrosovibrio.s__tenuis" 0 0 0.01 0.04 +"k__Bacteria.p__Bacteroidetes.c__Cytophagia.o__Cytophagales.f__Cytophagaceae.g__Adhaeribacter.s__.10" 0 0 0.02 0.1 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Sphingomonas.s__.16" 0 0 0.01 0 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Sphingomonas.s__.17" 0 0.01 0.12 0.07 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Nocardioidaceae.g__Nocardioides.s__.6" 0 0 0.04 0.03 +"k__Bacteria.p__Actinobacteria.c__Rubrobacteria.o__Rubrobacterales.f__Rubrobacteraceae.g__Rubrobacter.s__.18" 0.01 0.01 0.3 0.17 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Cryptosporangiaceae.g__Cryptosporangium.s__" 0 0 0.03 0.07 +"k__Bacteria.p__Acidobacteria.c__Acidobacteriia.o__Acidobacteriales.f__Koribacteraceae.g__Candidatus.Koribacter.s__.15" 0 0.01 0.1 0.05 +"k__Bacteria.p__Proteobacteria.c__Deltaproteobacteria.o__Bdellovibrionales.f__Bdellovibrionaceae.g__Bdellovibrio.s__.9" 0 0 0.03 0.01 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Devosia.s__.13" 0 0.01 0.1 0.01 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Bradyrhizobiaceae.g__Balneimonas.s__.3" 0.07 0.05 0.26 0.35 +"k__Bacteria.p__Bacteroidetes.c__Flavobacteriia.o__Flavobacteriales.f__Flavobacteriaceae.g__Flavobacterium.s__.29" 0 0 0.15 0.06 +"k__Bacteria.p__Actinobacteria.c__Nitriliruptoria.o__Euzebyales.f__Euzebyaceae.g__Euzebya.s__.1" 0 0 0.02 0.05 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Micromonosporaceae.g__Solwaraspora.s__" 0 0 0 0.01 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Pseudomonadales.f__Pseudomonadaceae.g__Pseudomonas.s__.7" 0 0 0 0.05 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Rhodobiaceae.g__Afifella.s__.9" 0 0 0.02 0.06 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Nocardioidaceae.g__Friedmanniella.s__.3" 0 0 0 0.05 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.63" 0 0.01 0.07 0.2 +"k__Bacteria.p__Acidobacteria.c__Acidobacteriia.o__Acidobacteriales.f__Koribacteraceae.g__Candidatus.Koribacter.s__.16" 0 0 0 0.11 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Rhizobiaceae.g__Agrobacterium.s__.7" 0 0 0.01 0.06 +"k__Bacteria.p__Acidobacteria.c__Acidobacteriia.o__Acidobacteriales.f__Koribacteraceae.g__Candidatus.Koribacter.s__.17" 0 0.01 0.09 0.06 +"k__Bacteria.p__Bacteroidetes.c__Cytophagia.o__Cytophagales.f__Cytophagaceae.g__Adhaeribacter.s__.11" 0 0 0.21 0.06 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.64" 0 0.01 0.13 0.07 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Sphingomonas.s__.18" 0 0 0.12 0.07 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Bradyrhizobiaceae.g__Balneimonas.s__.4" 0 0 0.01 0.02 +"k__Bacteria.p__Verrucomicrobia.c__Opitutae.o__Opitutales.f__Opitutaceae.g__Opitutus.s__.3" 0 0.02 0.1 0.02 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Hyphomicrobium.s__.5" 0 0 0.04 0.03 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Xanthomonadales.f__Xanthomonadaceae.g__Luteimonas.s__" 0 0.02 0.1 0.06 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.65" 0.64 0.7 0.91 0.39 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Planococcaceae.g__Viridibacillus.s__" 0 0.01 0.22 0.04 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Burkholderiaceae.g__Burkholderia.s__andropogonis.1" 0 0 0.14 0.09 +"k__Bacteria.p__Bacteroidetes.c__.Saprospirae..o__.Saprospirales..f__Chitinophagaceae.g__Flavisolibacter.s__.19" 0 0 0.06 0.06 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Pseudomonadales.f__Pseudomonadaceae.g__Pseudomonas.s__.8" 0 0 0.06 0.04 +"k__Bacteria.p__Bacteroidetes.c__Sphingobacteriia.o__Sphingobacteriales.f__Sphingobacteriaceae.g__Pedobacter.s__.4" 0 0 0.03 0.02 +"k__Bacteria.p__Bacteroidetes.c__Flavobacteriia.o__Flavobacteriales.f__Flavobacteriaceae.g__Flavobacterium.s__.30" 0 0.01 0.13 0.07 +"k__Bacteria.p__Bacteroidetes.c__Flavobacteriia.o__Flavobacteriales.f__Flavobacteriaceae.g__Flavobacterium.s__.31" 0 0.02 0.19 0.02 +"k__Bacteria.p__Actinobacteria.c__Acidimicrobiia.o__Acidimicrobiales.f__Iamiaceae.g__Iamia.s__.2" 0.01 0 0.15 0.05 +"k__Bacteria.p__Verrucomicrobia.c__.Spartobacteria..o__.Chthoniobacterales..f__.Chthoniobacteraceae..g__DA101.s__.33" 0 0 0.05 0.06 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Burkholderiaceae.g__Burkholderia.s__.12" 0 0 0 0.06 +"k__Bacteria.p__Verrucomicrobia.c__.Spartobacteria..o__.Chthoniobacterales..f__.Chthoniobacteraceae..g__DA101.s__.34" 0 0 0.14 0.05 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Cellulomonadaceae.g__Cellulomonas.s__xylanilytica" 0 0 0.02 0.04 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Rhodocyclales.f__Rhodocyclaceae.g__Dechloromonas.s__.1" 0 0 0.07 0.07 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__.34" 0 0 0.08 0.02 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.66" 0.35 0.45 0.73 0.11 +"k__Bacteria.p__Nitrospirae.c__Nitrospira.o__Nitrospirales.f__Nitrospiraceae.g__Nitrospira.s__.5" 0 0.02 0.13 0.03 +"k__Bacteria.p__Firmicutes.c__Clostridia.o__Clostridiales.f__Clostridiaceae.g__SMB53.s__" 0 0.03 0.18 0.1 +"k__Bacteria.p__Cyanobacteria.c__Oscillatoriophycideae.o__Oscillatoriales.f__Phormidiaceae.g__Phormidium.s__.2" 0 0 0.02 0.01 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Devosia.s__.14" 0 0 0.04 0.02 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.67" 0 0 0 0.05 +"k__Bacteria.p__Bacteroidetes.c__.Saprospirae..o__.Saprospirales..f__Chitinophagaceae.g__Flavisolibacter.s__.20" 0 0.02 0.24 0.07 +"k__Bacteria.p__Bacteroidetes.c__.Saprospirae..o__.Saprospirales..f__Chitinophagaceae.g__Segetibacter.s__.12" 0 0 0.02 0.03 +"k__Bacteria.p__Bacteroidetes.c__Flavobacteriia.o__Flavobacteriales.f__Cryomorphaceae.g__Fluviicola.s__" 0 0.02 0.11 0.06 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Xanthomonadales.f__Xanthomonadaceae.g__Thermomonas.s__.1" 0 0 0.02 0.01 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Lactobacillales.f__Streptococcaceae.g__Streptococcus.s__.4" 0 0 0.1 0.02 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.68" 0 0 0.03 0.07 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Legionellales.f__Coxiellaceae.g__Aquicella.s__.6" 0 0 0.11 0.07 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Sphingomonas.s__.19" 0 0 0.1 0.02 +"k__Bacteria.p__Bacteroidetes.c__Cytophagia.o__Cytophagales.f__Cytophagaceae.g__Adhaeribacter.s__.12" 0 0 0 0.05 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Microbacteriaceae.g__Salinibacterium.s__.4" 0 0 0.11 0.03 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.69" 0 0 0.1 0.07 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.70" 0.04 0.02 0.04 0.07 +"k__Bacteria.p__Proteobacteria.c__Deltaproteobacteria.o__Bdellovibrionales.f__Bdellovibrionaceae.g__Bdellovibrio.s__.10" 0 0 0.12 0.04 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Legionellales.f__Coxiellaceae.g__Aquicella.s__.7" 0 0 0.1 0.02 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__cereus.1" 0 0 0.15 0.06 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Pseudomonadales.f__Pseudomonadaceae.g__Pseudomonas.s__.9" 0.05 0.1 0.48 0.01 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Burkholderiaceae.g__Burkholderia.s__.13" 0 0 0.03 0.06 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Rhodobiaceae.g__Afifella.s__.10" 0 0 0 0.04 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Devosia.s__.15" 0 0 0.03 0.05 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.46" 0.02 0.1 0.49 0.08 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Methylophilales.f__Methylophilaceae.g__Methylotenera.s__mobilis.1" 0 0.02 0.09 0.04 +"k__Bacteria.p__Verrucomicrobia.c__Opitutae.o__Opitutales.f__Opitutaceae.g__Opitutus.s__.4" 0 0.01 0.11 0.05 +"k__Bacteria.p__Tenericutes.c__Mollicutes.o__Anaeroplasmatales.f__Anaeroplasmataceae.g__Asteroleplasma.s__.2" 0 0 0.08 0.09 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Sphingomonas.s__asaccharolytica" 0 0 0.04 0.06 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Bradyrhizobiaceae.g__Bradyrhizobium.s__.4" 0 0.02 0.09 0.1 +"k__Bacteria.p__Verrucomicrobia.c__.Spartobacteria..o__.Chthoniobacterales..f__.Chthoniobacteraceae..g__DA101.s__.35" 0 0.01 0.23 0.05 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Streptomycetaceae.g__Streptomyces.s__.18" 0 0 0 0.02 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Bradyrhizobiaceae.g__Balneimonas.s__.5" 0.66 0.46 0.6 0.58 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__asahii" 0 0.01 0.07 0.04 +"k__Bacteria.p__Tenericutes.c__Mollicutes.o__Anaeroplasmatales.f__Anaeroplasmataceae.g__Asteroleplasma.s__.3" 0 0.01 0.09 0.04 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.71" 0 0.01 0.15 0.05 +"k__Bacteria.p__Verrucomicrobia.c__.Spartobacteria..o__.Chthoniobacterales..f__.Chthoniobacteraceae..g__DA101.s__.36" 0 0 0.07 0.04 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Alicyclobacillaceae.g__Alicyclobacillus.s__.2" 0 0 0.01 0.02 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.47" 0 0 0.22 0.17 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Xanthomonadales.f__Xanthomonadaceae.g__Rhodanobacter.s__" 0 0 0.09 0.02 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Rhodocyclales.f__Rhodocyclaceae.g__Azoarcus.s__.2" 0 0 0.06 0.04 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Oxalobacteraceae.g__Janthinobacterium.s__lividum" 0 0 0.02 0.06 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Burkholderiaceae.g__Pandoraea.s__" 0 0.01 0.05 0.06 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Streptomycetaceae.g__Streptomyces.s__.19" 0 0 0.12 0.03 +"k__Bacteria.p__Acidobacteria.c__Acidobacteriia.o__Acidobacteriales.f__Acidobacteriaceae.g__Terriglobus.s__.1" 0 0 0.12 0.04 +"k__Bacteria.p__Bacteroidetes.c__.Saprospirae..o__.Saprospirales..f__Chitinophagaceae.g__Flavisolibacter.s__.21" 0 0 0.01 0.08 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Mycobacteriaceae.g__Mycobacterium.s__vaccae.1" 0 0 0.07 0.02 +"k__Bacteria.p__Cyanobacteria.c__Oscillatoriophycideae.o__Oscillatoriales.f__Phormidiaceae.g__Phormidium.s__.3" 0 0 0.31 0.05 +"k__Bacteria.p__Proteobacteria.c__Deltaproteobacteria.o__Bdellovibrionales.f__Bdellovibrionaceae.g__Bdellovibrio.s__.11" 0 0.01 0.2 0.05 +"k__Bacteria.p__Bacteroidetes.c__Flavobacteriia.o__Flavobacteriales.f__Flavobacteriaceae.g__Flavobacterium.s__.32" 0 0 0.05 0.06 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.48" 0 0 0 0.05 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Bradyrhizobiaceae.g__Bosea.s__genosp..1" 0 0 0 0.02 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Comamonadaceae.g__Methylibium.s__.7" 0 0 0.03 0.02 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.49" 0 0.01 0.02 0.04 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Comamonadaceae.g__Rubrivivax.s__.3" 0 0.01 0.19 0.06 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Mycobacteriaceae.g__Mycobacterium.s__.12" 0 0.03 0.23 0.08 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.72" 0 0 0 0.03 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Devosia.s__.16" 0 0 0.09 0.05 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Comamonadaceae.g__Ramlibacter.s__.2" 0 0 0.02 0.03 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Oxalobacteraceae.g__Janthinobacterium.s__.6" 0 0 0.08 0.04 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Mycobacteriaceae.g__Mycobacterium.s__llatzerense" 0.01 0.01 0.01 0.03 +"k__Bacteria.p__Acidobacteria.c__Acidobacteriia.o__Acidobacteriales.f__Acidobacteriaceae.g__Terriglobus.s__.2" 0 0 0.06 0.06 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Beijerinckiaceae.g__Methylovirgula.s__ligni" 0 0.01 0.08 0.05 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Nocardioidaceae.g__Nocardioides.s__furvisabuli" 0 0 0.08 0.03 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__.35" 0 0 0.02 0.05 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Oxalobacteraceae.g__Janthinobacterium.s__lividum.1" 0 0 0.09 0.08 +"k__Bacteria.p__Bacteroidetes.c__Flavobacteriia.o__Flavobacteriales.f__.Weeksellaceae..g__Chryseobacterium.s__.3" 0 0 0.14 0.05 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Mycobacteriaceae.g__Mycobacterium.s__.13" 0 0 0.04 0.01 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Actinosynnemataceae.g__Kutzneria.s__" 0 0.02 0.22 0.04 +"k__Bacteria.p__Bacteroidetes.c__Cytophagia.o__Cytophagales.f__Cytophagaceae.g__Hymenobacter.s__.7" 0 0 0 0.02 +"k__Bacteria.p__Acidobacteria.c__Acidobacteriia.o__Acidobacteriales.f__Koribacteraceae.g__Candidatus.Koribacter.s__.18" 0.06 0.1 0.42 0.11 +"k__Bacteria.p__Acidobacteria.c__Acidobacteriia.o__Acidobacteriales.f__Koribacteraceae.g__Candidatus.Koribacter.s__.19" 0.03 0.06 0.19 0.1 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.50" 0 0.01 0.15 0.07 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Burkholderiaceae.g__Burkholderia.s__.14" 0 0 0.01 0.04 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Sphingomonas.s__.20" 0 0 0.1 0.04 +"k__Bacteria.p__Verrucomicrobia.c__.Spartobacteria..o__.Chthoniobacterales..f__.Chthoniobacteraceae..g__DA101.s__.37" 0 0 0.04 0.04 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__cereus.2" 0 0 0.02 0.01 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Comamonadaceae.g__Leptothrix.s__.4" 0 0 0.01 0.06 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__selenatarsenatis.2" 0 0 0.07 0.02 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Planococcaceae.g__Sporosarcina.s__.2" 0 0 0 0.03 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Micromonosporaceae.g__Pilimelia.s__.2" 0 0 0.08 0.04 +"k__Bacteria.p__Bacteroidetes.c__Cytophagia.o__Cytophagales.f__Cytophagaceae.g__Dyadobacter.s__.2" 0 0 0.25 0.02 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.73" 0 0 0.12 0.04 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Streptosporangiaceae.g__Nonomuraea.s__.1" 0 0 0.01 0.02 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.74" 0 0.01 0.11 0.03 +"k__Bacteria.p__Gemmatimonadetes.c__Gemmatimonadetes.o__Gemmatimonadales.f__Gemmatimonadaceae.g__Gemmatimonas.s__.3" 0 0 0.01 0.03 +"k__Bacteria.p__Bacteroidetes.c__Flavobacteriia.o__Flavobacteriales.f__Flavobacteriaceae.g__Flavobacterium.s__.33" 0 0 0.08 0.03 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Phyllobacteriaceae.g__Mesorhizobium.s__.3" 0 0 0.12 0.05 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.51" 0 0 0.08 0.05 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Sphingomonas.s__.21" 0 0 0.06 0.02 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Pseudonocardiaceae.g__Pseudonocardia.s__.3" 0.01 0.02 0.13 0.11 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Rhodocyclales.f__Rhodocyclaceae.g__Dok59.s__" 0 0 0.09 0.03 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Xanthomonadales.f__Xanthomonadaceae.g__Lysobacter.s__ximonensis" 0 0.09 0.4 0.06 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__selenatarsenatis.3" 0 0 0 0.02 +"k__Bacteria.p__Acidobacteria.c__Holophagae.o__Holophagales.f__Holophagaceae.g__Geothrix.s__.1" 0.11 0.29 0.62 0.05 +"k__Bacteria.p__Bacteroidetes.c__Flavobacteriia.o__Flavobacteriales.f__Flavobacteriaceae.g__Flavobacterium.s__.34" 0 0 0.09 0.02 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.75" 0 0 0.01 0.04 +"k__Bacteria.p__Verrucomicrobia.c__.Spartobacteria..o__.Chthoniobacterales..f__.Chthoniobacteraceae..g__Ellin506.s__" 0 0 0.05 0.02 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.76" 0.41 0.55 0.8 0.52 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.52" 0.01 0.03 0.27 0.12 +"k__Bacteria.p__Firmicutes.c__Clostridia.o__Clostridiales.f__Clostridiaceae.g__Clostridium.s__.13" 0 0.01 0.15 0.09 +"k__Bacteria.p__Bacteroidetes.c__Flavobacteriia.o__Flavobacteriales.f__Flavobacteriaceae.g__Capnocytophaga.s__.2" 0 0 0.07 0.05 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__.36" 0 0 0 0.05 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhodobacterales.f__Rhodobacteraceae.g__Rubellimicrobium.s__.3" 0 0.01 0.02 0.03 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__cereus.3" 0 0.01 0.03 0.09 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Legionellales.f__Legionellaceae.g__Legionella.s__.4" 0 0 0.07 0.07 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Sphingomonas.s__wittichii.6" 0 0 0.01 0.01 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Paenibacillaceae.g__Paenibacillus.s__.12" 0 0 0.08 0.02 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Pseudonocardiaceae.g__Pseudonocardia.s__.4" 0 0 0.02 0.05 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Sphingomonas.s__.22" 0 0 0.01 0.03 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Novosphingobium.s__.8" 0 0 0 0.02 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Pseudonocardiaceae.g__Pseudonocardia.s__.5" 0 0 0.03 0.02 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.77" 0.01 0.01 0.08 0.09 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Paenibacillaceae.g__Paenibacillus.s__.13" 0 0 0.08 0.07 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Paenibacillaceae.g__Aneurinibacillus.s__" 0 0 0.11 0.05 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhodobacterales.f__Rhodobacteraceae.g__Rhodobacter.s__" 0 0 0.11 0.08 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Kaistobacter.s__.13" 0 0 0.06 0.07 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.53" 0 0.01 0.05 0.01 +"k__Bacteria.p__Bacteroidetes.c__Flavobacteriia.o__Flavobacteriales.f__.Weeksellaceae..g__Chryseobacterium.s__.4" 0 0 0.06 0.04 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Phyllobacteriaceae.g__Mesorhizobium.s__.4" 0 0 0.02 0.04 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhodospirillales.f__Acetobacteraceae.g__Acidiphilium.s__" 0 0.01 0.11 0.06 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.78" 0.01 0.04 0.08 0.05 +"k__Bacteria.p__Acidobacteria.c__Acidobacteriia.o__Acidobacteriales.f__Koribacteraceae.g__Candidatus.Koribacter.s__.20" 0 0 0.06 0.04 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Actinosynnemataceae.g__Kibdelosporangium.s__.1" 0 0 0.02 0.05 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Rhizobiaceae.g__Rhizobium.s__" 0 0 0.08 0.03 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.54" 0.03 0.03 0.17 0.1 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Streptomycetaceae.g__Streptomyces.s__.20" 0 0 0.09 0.07 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.79" 0 0.02 0.09 0.11 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Alicyclobacillaceae.g__Alicyclobacillus.s__.3" 0 0 0.11 0.04 +"k__Bacteria.p__Firmicutes.c__Clostridia.o__Clostridiales.f__Clostridiaceae.g__SMB53.s__.1" 0 0 0.08 0.07 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Rhizobiaceae.g__Amorphomonas.s__oryzae" 0 0.01 0.06 0.03 +"k__Bacteria.p__Bacteroidetes.c__Cytophagia.o__Cytophagales.f__Cytophagaceae.g__Spirosoma.s__.2" 0 0 0.03 0.02 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Phyllobacteriaceae.g__Mesorhizobium.s__.5" 0 0.02 0.08 0.07 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Streptomycetaceae.g__Streptomyces.s__.21" 0 0 0.01 0.02 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Alicyclobacillaceae.g__Alicyclobacillus.s__.4" 0 0.06 0.36 0.06 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhodospirillales.f__Rhodospirillaceae.g__Skermanella.s__.2" 0 0 0.06 0.06 +"k__Bacteria.p__Bacteroidetes.c__.Saprospirae..o__.Saprospirales..f__Chitinophagaceae.g__Flavisolibacter.s__.22" 0 0 0.07 0.03 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Actinomycetaceae.g__Actinomyces.s__" 0 0 0.35 0.05 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Neisseriales.f__Neisseriaceae.g__Neisseria.s__" 0 0 0.07 0.05 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Lactobacillales.f__Carnobacteriaceae.g__Granulicatella.s__" 0 0 0.18 0.06 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Intrasporangiaceae.g__Phycicoccus.s__.2" 0 0 0.01 0.05 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.80" 0 0 0.01 0.05 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Oxalobacteraceae.g__Cupriavidus.s__.2" 0 0 0.07 0.04 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Alteromonadales.f__Alteromonadaceae.g__Cellvibrio.s__.2" 0 0 0.08 0.05 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Lactobacillales.f__Streptococcaceae.g__Lactococcus.s__.1" 0 0 0.02 0.05 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Streptomycetaceae.g__Streptacidiphilus.s__" 0 0.01 0.05 0.04 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Phyllobacteriaceae.g__Mesorhizobium.s__.6" 0 0 0.17 0.05 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Actinosynnemataceae.g__Lentzea.s__albidocapillata" 0 0 0.06 0.05 +"k__Bacteria.p__Proteobacteria.c__Deltaproteobacteria.o__Bdellovibrionales.f__Bdellovibrionaceae.g__Bdellovibrio.s__.12" 0.02 0.05 0.3 0.08 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Alicyclobacillaceae.g__Alicyclobacillus.s__.5" 0 0 0 0.04 +"k__Bacteria.p__Nitrospirae.c__Nitrospira.o__Nitrospirales.f__Nitrospiraceae.g__JG37.AG.70.s__" 0 0 0.01 0.08 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhodospirillales.f__Rhodospirillaceae.g__Skermanella.s__.3" 0.01 0 0.04 0.21 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Rhizobiaceae.g__Agrobacterium.s__.8" 0 0 0.02 0.04 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Pseudonocardiaceae.g__Pseudonocardia.s__.6" 0 0 0 0.01 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.81" 0 0 0.04 0.05 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__muralis.3" 0.01 0.02 0.07 0.05 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Kaistobacter.s__.14" 0 0 0.01 0.02 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.82" 0 0 0.01 0.06 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Phyllobacteriaceae.g__Mesorhizobium.s__.7" 0 0 0.05 0.06 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Thermomonosporaceae.g__Actinocorallia.s__" 0 0 0.06 0.03 +"k__Bacteria.p__Bacteroidetes.c__Sphingobacteriia.o__Sphingobacteriales.f__Sphingobacteriaceae.g__Pedobacter.s__.5" 0 0.01 0 0.06 +"k__Bacteria.p__Bacteroidetes.c__.Saprospirae..o__.Saprospirales..f__Chitinophagaceae.g__Flavisolibacter.s__.23" 0 0 0.08 0.02 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Kaistobacter.s__.15" 0.01 0.01 0.06 0.02 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhodospirillales.f__Rhodospirillaceae.g__Skermanella.s__.4" 0.01 0.01 0.11 0.27 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhodospirillales.f__Acetobacteraceae.g__Acetobacter.s__" 0 0 0.1 0.07 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Kaistobacter.s__.16" 0 0 0.03 0.02 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Devosia.s__.17" 0.02 0.03 0.09 0 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__.37" 0 0 0.02 0.03 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Mycobacteriaceae.g__Mycobacterium.s__.14" 0 0.03 0.37 0.07 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Mycobacteriaceae.g__Mycobacterium.s__celatum.1" 0 0 0.09 0.04 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Burkholderiaceae.g__Burkholderia.s__andropogonis.2" 0 0.01 0.02 0.07 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Intrasporangiaceae.g__Oryzihumus.s__leptocrescens" 0 0 0.01 0.05 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Paenibacillaceae.g__Paenibacillus.s__.14" 0 0 0.03 0.04 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Paenibacillaceae.g__Paenibacillus.s__.15" 0 0 0.06 0.05 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Pseudomonadales.f__Pseudomonadaceae.g__Pseudomonas.s__.10" 0.06 0.07 0.5 0.02 +"k__Bacteria.p__Cyanobacteria.c__Synechococcophycideae.o__Pseudanabaenales.f__Pseudanabaenaceae.g__Leptolyngbya.s__frigida.1" 0 0 0.05 0.03 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Planococcaceae.g__Paenisporosarcina.s__" 0 0 0.01 0.09 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Xanthomonadales.f__Xanthomonadaceae.g__Dokdonella.s__.3" 0 0 0.06 0.02 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Glycomycetaceae.g__Glycomyces.s__" 0 0 0.09 0.08 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__.38" 0 0 0.07 0.05 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__.39" 0 0 0 0.08 +"k__Bacteria.p__Acidobacteria.c__Acidobacteriia.o__Acidobacteriales.f__Koribacteraceae.g__Candidatus.Koribacter.s__.21" 0.01 0.02 0.11 0.07 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Micromonosporaceae.g__Actinoplanes.s__" 0 0.01 0.08 0.05 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.83" 0.52 0.61 0.82 0.2 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.55" 0 0 0.01 0.05 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Rhodocyclales.f__Rhodocyclaceae.g__K82.s__" 0 0.02 0.11 0.09 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Micromonosporaceae.g__Phytohabitans.s__suffuscus" 0.01 0.01 0.13 0.06 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Hyphomicrobium.s__zavarzinii" 0 0.01 0.27 0.05 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Streptomycetaceae.g__Streptomyces.s__.22" 0 0 0.01 0.04 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__flexus.2" 0 0 0.03 0.05 +"k__Bacteria.p__Bacteroidetes.c__.Saprospirae..o__.Saprospirales..f__Chitinophagaceae.g__Flavisolibacter.s__.24" 0 0.01 0.2 0.08 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.84" 0 0.01 0.14 0.08 +"k__Bacteria.p__Bacteroidetes.c__.Saprospirae..o__.Saprospirales..f__Chitinophagaceae.g__Flavisolibacter.s__.25" 0 0 0.12 0.06 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Paenibacillaceae.g__Paenibacillus.s__.16" 0 0 0.05 0.05 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Mycobacteriaceae.g__Mycobacterium.s__.15" 0 0 0.09 0.08 +"k__Bacteria.p__Bacteroidetes.c__Flavobacteriia.o__Flavobacteriales.f__.Weeksellaceae..g__Chryseobacterium.s__.5" 0 0 0.05 0.05 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Oxalobacteraceae.g__Herbaspirillum.s__" 0 0 0.05 0.03 +"k__Bacteria.p__Bacteroidetes.c__Cytophagia.o__Cytophagales.f__Cytophagaceae.g__Larkinella.s__" 0 0 0.06 0.01 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Bradyrhizobiaceae.g__Bradyrhizobium.s__.5" 0 0 0.03 0.15 +"k__Bacteria.p__Bacteroidetes.c__.Saprospirae..o__.Saprospirales..f__Chitinophagaceae.g__Chitinophaga.s__.1" 0 0 0.05 0.06 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Pseudonocardiaceae.g__Pseudonocardia.s__.7" 0.03 0.02 0.07 0.15 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Novosphingobium.s__.9" 0 0 0.06 0.03 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Paenibacillaceae.g__Paenibacillus.s__.17" 0 0 0 0.04 +"k__Bacteria.p__Verrucomicrobia.c__.Spartobacteria..o__.Chthoniobacterales..f__.Chthoniobacteraceae..g__Candidatus.Xiphinematobacter.s__.3" 0 0.03 0.21 0.05 +"k__Bacteria.p__Proteobacteria.c__Deltaproteobacteria.o__Bdellovibrionales.f__Bdellovibrionaceae.g__Bdellovibrio.s__.13" 0 0 0.05 0.08 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__muralis.4" 0.01 0.01 0.07 0.01 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__.40" 0 0 0.03 0.11 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Burkholderiaceae.g__Burkholderia.s__glathei" 0 0.03 0.27 0.03 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Pseudomonadales.f__Pseudomonadaceae.g__Pseudomonas.s__nitroreducens" 0 0 0.07 0.02 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Caulobacterales.f__Caulobacteraceae.g__Phenylobacterium.s__.7" 0.01 0 0.06 0.04 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__.41" 0 0 0 0.04 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Rhodobiaceae.g__Afifella.s__.11" 0.06 0.1 0.68 0.09 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Burkholderiaceae.g__Burkholderia.s__.15" 0 0 0.09 0.06 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Microbacteriaceae.g__Salinibacterium.s__.5" 0 0 0.01 0.05 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Legionellales.f__Legionellaceae.g__Legionella.s__.5" 0 0 0.05 0.03 +"k__Bacteria.p__Bacteroidetes.c__Flavobacteriia.o__Flavobacteriales.f__Flavobacteriaceae.g__Flavobacterium.s__.35" 0 0 0.02 0.01 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Microbacteriaceae.g__Agromyces.s__.4" 0 0 0.02 0.04 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Micromonosporaceae.g__Actinoplanes.s__.1" 0.02 0.02 0.37 0.05 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Micromonosporaceae.g__Virgisporangium.s__ochraceum.2" 0 0 0.26 0.02 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Mycobacteriaceae.g__Mycobacterium.s__celatum.2" 0.01 0.02 0.04 0.07 +"k__Bacteria.p__Verrucomicrobia.c__.Spartobacteria..o__.Chthoniobacterales..f__.Chthoniobacteraceae..g__DA101.s__.38" 0 0 0.06 0.04 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhodobacterales.f__Rhodobacteraceae.g__Rubellimicrobium.s__.4" 0 0 0.03 0.05 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Kaistobacter.s__.17" 0 0 0.05 0.04 +"k__Bacteria.p__Verrucomicrobia.c__.Spartobacteria..o__.Chthoniobacterales..f__.Chthoniobacteraceae..g__DA101.s__.39" 0 0 0.15 0.03 +"k__Bacteria.p__Bacteroidetes.c__.Saprospirae..o__.Saprospirales..f__Chitinophagaceae.g__Flavisolibacter.s__.26" 0 0 0.1 0.05 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.56" 0.2 0.25 0.51 0.21 +"k__Bacteria.p__Acidobacteria.c__Acidobacteriia.o__Acidobacteriales.f__Koribacteraceae.g__Candidatus.Koribacter.s__.22" 0 0 0.07 0.08 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Rhizobiaceae.g__Agrobacterium.s__.9" 0 0 0.05 0.07 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Kaistobacter.s__.18" 0 0 0.04 0.09 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Kaistobacter.s__.19" 0 0 0.01 0.09 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Micromonosporaceae.g__Dactylosporangium.s__.1" 0 0 0.04 0.03 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Pseudonocardiaceae.g__Actinomycetospora.s__.1" 0 0 0.03 0.02 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Comamonadaceae.g__Diaphorobacter.s__" 0 0 0.18 0.11 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.85" 0 0 0.03 0.07 +"k__Bacteria.p__Verrucomicrobia.c__.Spartobacteria..o__.Chthoniobacterales..f__.Chthoniobacteraceae..g__OR.59.s__.1" 0 0 0.03 0.03 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Oxalobacteraceae.g__Janthinobacterium.s__lividum.2" 0 0 0.06 0.03 +"k__Bacteria.p__Verrucomicrobia.c__.Pedosphaerae..o__.Pedosphaerales..f__.Pedosphaeraceae..g__Pedosphaera.s__" 0 0.01 0.07 0.08 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Rhodobiaceae.g__Afifella.s__.12" 0 0 0.02 0.06 +"k__Bacteria.p__Actinobacteria.c__Rubrobacteria.o__Rubrobacterales.f__Rubrobacteraceae.g__Rubrobacter.s__.19" 0 0 0.02 0.02 +"k__Bacteria.p__Bacteroidetes.c__.Saprospirae..o__.Saprospirales..f__Chitinophagaceae.g__Sediminibacterium.s__.2" 0 0 0.09 0.04 +"k__Bacteria.p__Bacteroidetes.c__Flavobacteriia.o__Flavobacteriales.f__.Weeksellaceae..g__Chryseobacterium.s__.6" 0 0 0.06 0.1 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Bradyrhizobiaceae.g__Balneimonas.s__.6" 0 0.01 0.17 0.16 +"k__Bacteria.p__Bacteroidetes.c__.Saprospirae..o__.Saprospirales..f__Chitinophagaceae.g__Flavisolibacter.s__.27" 0.03 0.05 0.25 0.04 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__.42" 0 0 0.04 0.05 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Bradyrhizobiaceae.g__Bradyrhizobium.s__.6" 0 0 0.07 0.05 +"k__Bacteria.p__Proteobacteria.c__Deltaproteobacteria.o__Desulfuromonadales.f__Geobacteraceae.g__Geobacter.s__.12" 0 0 0.19 0.05 +"k__Bacteria.p__Proteobacteria.c__Deltaproteobacteria.o__Myxococcales.f__Polyangiaceae.g__Aetherobacter.s__fasciculatus" 0 0 0.02 0.06 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__.43" 0.01 0.01 0.01 0.05 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.86" 0 0 0.06 0.02 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Pseudomonadales.f__Pseudomonadaceae.g__Pseudomonas.s__.11" 0 0 0.04 0.02 +"k__Bacteria.p__Bacteroidetes.c__Cytophagia.o__Cytophagales.f__Cytophagaceae.g__Adhaeribacter.s__.13" 0 0 0 0.05 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Pseudonocardiaceae.g__Pseudonocardia.s__.8" 0 0.02 0.1 0.05 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Streptomycetaceae.g__Streptomyces.s__.23" 0.01 0 0 0.01 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Planococcaceae.g__Viridibacillus.s__.1" 0 0.02 0.11 0.08 +"k__Bacteria.p__Bacteroidetes.c__Sphingobacteriia.o__Sphingobacteriales.f__Sphingobacteriaceae.g__Pedobacter.s__.6" 0 0 0 0.03 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Oxalobacteraceae.g__Collimonas.s__" 0 0 0.08 0.07 +"k__Bacteria.p__Verrucomicrobia.c__.Spartobacteria..o__.Chthoniobacterales..f__.Chthoniobacteraceae..g__DA101.s__.40" 0 0 0.01 0.03 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Sphingomonas.s__wittichii.7" 0 0 0.01 0.03 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Cellulomonadaceae.g__Demequina.s__" 0 0 0.04 0.02 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Devosia.s__.18" 0 0.01 0.18 0.07 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Mycobacteriaceae.g__Mycobacterium.s__celatum.3" 0 0 0 0.06 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Pseudomonadales.f__Pseudomonadaceae.g__Pseudomonas.s__.12" 0 0 0.15 0.03 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Caulobacterales.f__Caulobacteraceae.g__Asticcacaulis.s__biprosthecium.1" 0 0 0.03 0.07 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Sphingobium.s__.5" 0 0 0.07 0.04 +"k__Bacteria.p__Bacteroidetes.c__.Saprospirae..o__.Saprospirales..f__Chitinophagaceae.g__Segetibacter.s__.13" 0 0 0.03 0.08 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Micromonosporaceae.g__Actinoplanes.s__.2" 0 0 0 0.05 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Xanthomonadales.f__Sinobacteraceae.g__Steroidobacter.s__.9" 0 0 0 0.02 +"k__Bacteria.p__Verrucomicrobia.c__.Spartobacteria..o__.Chthoniobacterales..f__.Chthoniobacteraceae..g__DA101.s__.41" 0 0 0.04 0.03 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.57" 0 0 0.04 0.04 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.58" 0.15 0.2 0.38 0.09 +"k__Bacteria.p__Verrucomicrobia.c__.Spartobacteria..o__.Chthoniobacterales..f__.Chthoniobacteraceae..g__Chthoniobacter.s__.1" 0 0.01 0.08 0.06 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Enterobacteriales.f__Enterobacteriaceae.g__Enterobacter.s__ludwigii" 0 0 0.02 0.02 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Hyphomicrobium.s__.6" 0 0 0.01 0.05 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Paenibacillaceae.g__Brevibacillus.s__.1" 0 0.02 0.03 0.05 +"k__Bacteria.p__Verrucomicrobia.c__Opitutae.o__Opitutales.f__Opitutaceae.g__Opitutus.s__.5" 0 0.01 0.02 0.09 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Pseudomonadales.f__Moraxellaceae.g__Acinetobacter.s__.3" 0 0 0.01 0.03 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Comamonadaceae.g__Rhodoferax.s__.1" 0.08 0.22 0.59 0.09 +"k__Bacteria.p__Verrucomicrobia.c__.Spartobacteria..o__.Chthoniobacterales..f__.Chthoniobacteraceae..g__DA101.s__.42" 0 0 0.09 0.07 +"k__Bacteria.p__Bacteroidetes.c__.Saprospirae..o__.Saprospirales..f__Chitinophagaceae.g__Ferruginibacter.s__lapsinanis" 0 0 0.02 0.06 +"k__Bacteria.p__Bacteroidetes.c__Sphingobacteriia.o__Sphingobacteriales.f__Sphingobacteriaceae.g__Sphingobacterium.s__multivorum" 0 0 0 0.01 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Comamonadaceae.g__Rhodoferax.s__.2" 0.01 0.04 0.22 0.02 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Pedomicrobium.s__.5" 0 0 0.04 0.02 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Microbacteriaceae.g__Cryocola.s__" 0 0.02 0.15 0.04 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Bradyrhizobiaceae.g__Bradyrhizobium.s__.7" 0.02 0.01 0.06 0.07 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.87" 0.85 0.88 0.91 0.65 +"k__Bacteria.p__Nitrospirae.c__Nitrospira.o__Nitrospirales.f__FW.g__4.29.s__" 0 0 0.02 0.08 +"k__Bacteria.p__Bacteroidetes.c__Flavobacteriia.o__Flavobacteriales.f__Flavobacteriaceae.g__Flavobacterium.s__succinicans.3" 0 0.01 0.09 0.05 +"k__Bacteria.p__Firmicutes.c__Clostridia.o__Clostridiales.f__Clostridiaceae.g__Clostridium.s__.14" 0 0.01 0.01 0.03 +"k__Bacteria.p__Proteobacteria.c__Deltaproteobacteria.o__Myxococcales.f__Nannocystaceae.g__Plesiocystis.s__" 0 0 0.04 0.05 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Pseudonocardiaceae.g__Amycolatopsis.s__.4" 0 0 0.07 0.01 +"k__Bacteria.p__Bacteroidetes.c__Sphingobacteriia.o__Sphingobacteriales.f__Sphingobacteriaceae.g__Pedobacter.s__.7" 0 0.01 0.09 0.07 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Enterobacteriales.f__Enterobacteriaceae.g__Serratia.s__marcescens" 0 0 0.04 0.04 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhodospirillales.f__Acetobacteraceae.g__Acidocella.s__.1" 0 0.02 0.28 0.04 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Streptomycetaceae.g__Streptomyces.s__.24" 0 0.01 0.05 0.04 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Nocardiaceae.g__Rhodococcus.s__.1" 0 0 0.05 0.02 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.59" 0 0.03 0.11 0.02 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Sphingobium.s__.6" 0 0 0.06 0.08 +"k__Bacteria.p__Bacteroidetes.c__Sphingobacteriia.o__Sphingobacteriales.f__Sphingobacteriaceae.g__Pedobacter.s__.8" 0 0 0.04 0.02 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Planococcaceae.g__Sporosarcina.s__.3" 0 0.01 0.05 0.06 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Comamonadaceae.g__Comamonas.s__.1" 0 0 0.02 0.03 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Streptomycetaceae.g__Streptomyces.s__.25" 0.01 0.01 0.07 0.01 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Frankiaceae.g__Kaistibacter.s__ginsenosidimutans" 0 0 0.12 0.05 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Streptomycetaceae.g__Streptomyces.s__.26" 0 0.01 0.06 0.03 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Methylobacteriaceae.g__Methylobacterium.s__.3" 0 0 0 0.05 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Caulobacterales.f__Caulobacteraceae.g__Mycoplana.s__.1" 0 0 0.03 0.04 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Lactobacillales.f__Carnobacteriaceae.g__Granulicatella.s__.1" 0 0 0.05 0.02 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Pseudonocardiaceae.g__Pseudonocardia.s__.9" 0 0 0.03 0.02 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Methylobacteriaceae.g__Methylobacterium.s__.4" 0 0 0 0.07 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Microbacteriaceae.g__Microbacterium.s__.4" 0 0 0.02 0.03 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Paenibacillaceae.g__Paenibacillus.s__chondroitinus.1" 0 0 0.05 0.03 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.60" 0 0 0.06 0.07 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Oxalobacteraceae.g__Janthinobacterium.s__.7" 0 0 0 0.06 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__.44" 0 0 0.1 0.03 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhodospirillales.f__Rhodospirillaceae.g__Telmatospirillum.s__.1" 0 0.01 0.05 0.04 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Planococcaceae.g__Lysinibacillus.s__boronitolerans" 0 0 0.07 0.01 +"k__Bacteria.p__Cyanobacteria.c__Nostocophycideae.o__Nostocales.f__Nostocaceae.g__Nostoc.s__.2" 0 0 0.04 0.06 +"k__Bacteria.p__Bacteroidetes.c__Bacteroidia.o__Bacteroidales.f__Porphyromonadaceae.g__Paludibacter.s__.2" 0.01 0.01 0.1 0.05 +"k__Bacteria.p__Bacteroidetes.c__Flavobacteriia.o__Flavobacteriales.f__Flavobacteriaceae.g__Flavobacterium.s__.36" 0 0 0.02 0.04 +"k__Bacteria.p__Bacteroidetes.c__Flavobacteriia.o__Flavobacteriales.f__Flavobacteriaceae.g__Flavobacterium.s__.37" 0 0 0.02 0.03 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Xanthobacteraceae.g__Labrys.s__" 0 0 0.05 0.04 +"k__Bacteria.p__Bacteroidetes.c__Flavobacteriia.o__Flavobacteriales.f__Flavobacteriaceae.g__Flavobacterium.s__.38" 0 0 0.05 0.03 +"k__Bacteria.p__Bacteroidetes.c__.Saprospirae..o__.Saprospirales..f__Chitinophagaceae.g__Segetibacter.s__.14" 0 0 0.02 0.08 +"k__Bacteria.p__Bacteroidetes.c__.Saprospirae..o__.Saprospirales..f__Chitinophagaceae.g__Segetibacter.s__.15" 0 0 0.07 0.09 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Kaistobacter.s__.20" 0.01 0.01 0.11 0.08 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Rhodocyclales.f__Rhodocyclaceae.g__Dechloromonas.s__.2" 0 0 0.08 0.04 +"k__Bacteria.p__Proteobacteria.c__Deltaproteobacteria.o__Myxococcales.f__Nannocystaceae.g__Plesiocystis.s__.1" 0 0 0.08 0.05 +"k__Bacteria.p__Firmicutes.c__Clostridia.o__Clostridiales.f__Clostridiaceae.g__Clostridium.s__.15" 0 0.01 0.08 0.01 +"k__Bacteria.p__Nitrospirae.c__Nitrospira.o__Nitrospirales.f__FW.g__4.29.s__.1" 0 0 0 0.02 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.88" 0 0.01 0.11 0.06 +"k__Bacteria.p__Bacteroidetes.c__.Saprospirae..o__.Saprospirales..f__Chitinophagaceae.g__Flavisolibacter.s__.28" 0 0 0.03 0.01 +"k__Bacteria.p__Verrucomicrobia.c__.Spartobacteria..o__.Chthoniobacterales..f__.Chthoniobacteraceae..g__DA101.s__.43" 0 0 0.03 0.05 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Sphingobium.s__.7" 0 0 0.03 0.08 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Novosphingobium.s__.10" 0 0 0.06 0.04 +"k__Bacteria.p__Actinobacteria.c__Rubrobacteria.o__Rubrobacterales.f__Rubrobacteraceae.g__Rubrobacter.s__.20" 0.98 0.98 1 0.75 +"k__Bacteria.p__Verrucomicrobia.c__.Spartobacteria..o__.Chthoniobacterales..f__.Chthoniobacteraceae..g__DA101.s__.44" 0 0 0 0.03 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Caulobacterales.f__Caulobacteraceae.g__Mycoplana.s__.2" 0 0.03 0.07 0.03 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhodospirillales.f__Acetobacteraceae.g__Roseococcus.s__" 0 0.02 0.19 0.05 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Bradyrhizobiaceae.g__Bradyrhizobium.s__.8" 0 0 0.01 0.12 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Sphingobium.s__.8" 0 0.01 0.04 0.02 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Kaistobacter.s__.21" 0 0.02 0.03 0.05 +"k__Bacteria.p__Bacteroidetes.c__.Saprospirae..o__.Saprospirales..f__Chitinophagaceae.g__Flavisolibacter.s__.29" 0 0.03 0.05 0.06 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Devosia.s__.19" 0 0 0.05 0.07 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Streptomycetaceae.g__Amycolatopsis.s__coloradensis" 0 0 0.01 0.04 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__.45" 0 0 0.13 0.08 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Enterobacteriales.f__Enterobacteriaceae.g__Ewingella.s__americana" 0 0.01 0.06 0.09 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Streptomycetaceae.g__Streptomyces.s__.27" 0 0 0.02 0.04 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Pedomicrobium.s__.6" 0 0.01 0.05 0.03 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Nocardioidaceae.g__Kribbella.s__.2" 0 0 0.11 0.04 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Rhodocyclales.f__Rhodocyclaceae.g__Propionivibrio.s__.1" 0 0 0.05 0.08 +"k__Bacteria.p__Bacteroidetes.c__Sphingobacteriia.o__Sphingobacteriales.f__Sphingobacteriaceae.g__Pedobacter.s__.9" 0 0 0.02 0.02 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Comamonadaceae.g__Polaromonas.s__.4" 0 0 0.04 0.06 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Sphingomonas.s__wittichii.8" 0 0 0.03 0.02 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__.46" 0 0 0.03 0.07 +"k__Bacteria.p__Cyanobacteria.c__Oscillatoriophycideae.o__Oscillatoriales.f__Phormidiaceae.g__Phormidium.s__.4" 0 0 0.12 0.05 +"k__Bacteria.p__Acidobacteria.c__Acidobacteriia.o__Acidobacteriales.f__Koribacteraceae.g__Candidatus.Koribacter.s__.23" 0 0 0.07 0.09 +"k__Bacteria.p__Bacteroidetes.c__.Saprospirae..o__.Saprospirales..f__Chitinophagaceae.g__Segetibacter.s__.16" 0 0 0.01 0.05 +"k__Bacteria.p__Cyanobacteria.c__Oscillatoriophycideae.o__Oscillatoriales.f__Phormidiaceae.g__Phormidium.s__.5" 0 0 0.02 0 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Pseudonocardiaceae.g__Actinomycetospora.s__.2" 0 0 0.01 0.08 +"k__Bacteria.p__Bacteroidetes.c__.Saprospirae..o__.Saprospirales..f__Chitinophagaceae.g__Segetibacter.s__.17" 0 0 0 0.04 +"k__Bacteria.p__Bacteroidetes.c__.Saprospirae..o__.Saprospirales..f__Chitinophagaceae.g__Segetibacter.s__.18" 0 0 0 0.06 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Mycobacteriaceae.g__Mycobacterium.s__.16" 0 0 0.01 0.03 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Xanthomonadales.f__Xanthomonadaceae.g__Lysobacter.s__.3" 0 0 0.02 0.09 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Microbacteriaceae.g__Agromyces.s__.5" 0 0 0.02 0.01 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Comamonadaceae.g__Rubrivivax.s__.4" 0 0 0.02 0.05 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Devosia.s__.20" 0 0 0.01 0.03 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.61" 0.03 0.06 0.11 0.1 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Kaistobacter.s__.22" 0 0 0.02 0.02 +"k__Bacteria.p__Bacteroidetes.c__Cytophagia.o__Cytophagales.f__Cytophagaceae.g__Adhaeribacter.s__.14" 0 0 0.03 0.05 +"k__Bacteria.p__Acidobacteria.c__Acidobacteriia.o__Acidobacteriales.f__Koribacteraceae.g__Candidatus.Koribacter.s__versatilis.1" 0 0 0 0.03 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Methylobacteriaceae.g__Methylobacterium.s__.5" 0 0.01 0.14 0.04 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.62" 0.02 0.05 0.16 0.14 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Streptomycetaceae.g__Streptomyces.s__.28" 0 0 0 0.03 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Kaistobacter.s__.23" 0.53 0.53 0.78 0.36 +"k__Bacteria.p__Actinobacteria.c__Thermoleophilia.o__Solirubrobacterales.f__Patulibacteraceae.g__Patulibacter.s__" 0 0.01 0.03 0.03 +"k__Bacteria.p__Acidobacteria.c__Acidobacteriia.o__Acidobacteriales.f__Koribacteraceae.g__Candidatus.Koribacter.s__.24" 0.02 0.03 0.19 0.1 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Legionellales.f__Coxiellaceae.g__Aquicella.s__.8" 0 0.01 0.02 0.03 +"k__Bacteria.p__Bacteroidetes.c__.Saprospirae..o__.Saprospirales..f__Chitinophagaceae.g__Flavisolibacter.s__.30" 0 0 0.06 0.07 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.63" 0.01 0.01 0.14 0.16 +"k__Bacteria.p__Bacteroidetes.c__Cytophagia.o__Cytophagales.f__Cytophagaceae.g__Adhaeribacter.s__.15" 0 0 0.01 0 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Paenibacillaceae.g__Paenibacillus.s__.18" 0 0.01 0.05 0.05 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.89" 0 0.01 0.22 0.08 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Xanthomonadales.f__Sinobacteraceae.g__Steroidobacter.s__.10" 0 0 0.06 0.06 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Hyphomicrobium.s__.7" 0 0 0.04 0.04 +"k__Bacteria.p__Bacteroidetes.c__Flavobacteriia.o__Flavobacteriales.f__Flavobacteriaceae.g__Flavobacterium.s__.39" 0 0 0.03 0.02 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Methylobacteriaceae.g__Methylobacterium.s__adhaesivum.2" 0.02 0.02 0.06 0.05 +"k__Bacteria.p__Acidobacteria.c__Acidobacteriia.o__Acidobacteriales.f__Koribacteraceae.g__Candidatus.Koribacter.s__.25" 0 0.04 0.21 0.18 +"k__Bacteria.p__Bacteroidetes.c__Bacteroidia.o__Bacteroidales.f__Porphyromonadaceae.g__Porphyromonas.s__endodontalis" 0 0 0.2 0.04 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Sporichthyaceae.g__Sporichthya.s__" 0 0 0.04 0.04 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__.47" 0 0 0.08 0.07 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Pseudonocardiaceae.g__Pseudonocardia.s__.10" 0 0 0 0.04 +"k__Bacteria.p__Verrucomicrobia.c__.Spartobacteria..o__.Chthoniobacterales..f__.Chthoniobacteraceae..g__Chthoniobacter.s__.2" 0 0 0.01 0.07 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Pseudonocardiaceae.g__Pseudonocardia.s__.11" 0 0 0.03 0.06 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Rhodocyclales.f__Rhodocyclaceae.g__Uliginosibacterium.s__.1" 0 0 0.04 0.09 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Devosia.s__.21" 0 0 0.02 0.02 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhodospirillales.f__Rhodospirillaceae.g__Telmatospirillum.s__.2" 0 0 0.03 0.09 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Kaistobacter.s__.24" 0 0 0.03 0.07 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Burkholderiaceae.g__Burkholderia.s__tuberum" 0 0 0.01 0.13 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.90" 0 0 0.01 0.06 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Paenibacillaceae.g__Paenibacillus.s__.19" 0 0 0.08 0.03 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Rhizobiaceae.g__Agrobacterium.s__.10" 0 0 0 0.05 +"k__Bacteria.p__Bacteroidetes.c__.Saprospirae..o__.Saprospirales..f__Chitinophagaceae.g__Flavisolibacter.s__.31" 0 0 0.14 0.17 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Streptomycetaceae.g__Streptomyces.s__.29" 0 0.01 0.14 0.08 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.91" 0 0 0.06 0.05 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Xanthomonadales.f__Xanthomonadaceae.g__Dokdonella.s__.4" 0 0 0.02 0.06 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Pseudonocardiaceae.g__Saccharopolyspora.s__" 0 0 0.05 0.02 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Geodermatophilaceae.g__Geodermatophilus.s__.4" 0 0.03 0.3 0.05 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Streptomycetaceae.g__Streptacidiphilus.s__.1" 0 0 0.11 0.1 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Micromonosporaceae.g__Longispora.s__fulva" 0 0 0.01 0.04 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Caulobacterales.f__Caulobacteraceae.g__Phenylobacterium.s__.8" 0 0.02 0.11 0.06 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Paenibacillaceae.g__Paenibacillus.s__.20" 0 0 0.03 0.06 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Kaistobacter.s__.25" 0 0 0.01 0.04 +"k__Bacteria.p__Cyanobacteria.c__Chloroplast.o__Chlorophyta.f__Trebouxiophyceae.g__Coccomyxa.s__solorinae.saccatae" 0 0 0.02 0.07 +"k__Bacteria.p__Proteobacteria.c__Deltaproteobacteria.o__Myxococcales.f__Haliangiaceae.g__Haliangium.s__.1" 0 0 0.02 0.03 +"k__Bacteria.p__Proteobacteria.c__Deltaproteobacteria.o__Desulfuromonadales.f__Geobacteraceae.g__Geobacter.s__.13" 0 0.01 0.07 0.05 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Legionellales.f__Legionellaceae.g__Legionella.s__pneumophila" 0 0 0.05 0.05 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Geodermatophilaceae.g__Geodermatophilus.s__obscurus.1" 0.01 0.01 0.06 0.18 +"k__Bacteria.p__Proteobacteria.c__Deltaproteobacteria.o__Bdellovibrionales.f__Bdellovibrionaceae.g__Bdellovibrio.s__.14" 0 0 0.06 0.05 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Comamonadaceae.g__Ramlibacter.s__.3" 0 0 0.05 0.03 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Phyllobacteriaceae.g__Aminobacter.s__" 0 0.01 0.04 0.06 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Micrococcaceae.g__Arthrobacter.s__.3" 0 0.01 0.1 0.04 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Rhizobiaceae.g__Rhizobium.s__.1" 0 0.01 0.02 0.05 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Gallionellales.f__Gallionellaceae.g__Gallionella.s__.3" 0 0 0.05 0.02 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.92" 0 0 0.01 0.03 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.93" 0 0 0.01 0.04 +"k__Bacteria.p__Firmicutes.c__Clostridia.o__Clostridiales.f__Clostridiaceae.g__Alkaliphilus.s__transvaalensis" 0 0 0.04 0.05 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Legionellales.f__Legionellaceae.g__Legionella.s__.6" 0.01 0.01 0.08 0.04 +"k__Bacteria.p__Verrucomicrobia.c__.Spartobacteria..o__.Chthoniobacterales..f__.Chthoniobacteraceae..g__DA101.s__.45" 0 0 0.04 0.02 +"k__Bacteria.p__Bacteroidetes.c__.Saprospirae..o__.Saprospirales..f__Chitinophagaceae.g__Flavisolibacter.s__.32" 0 0 0.02 0.14 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Micrococcaceae.g__Arthrobacter.s__.4" 0 0 0.05 0.08 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Legionellales.f__Coxiellaceae.g__Aquicella.s__.9" 0 0 0 0.04 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Propionibacteriaceae.g__Propionibacterium.s__acnes" 0 0.01 0.04 0.09 +"k__Bacteria.p__Bacteroidetes.c__Flavobacteriia.o__Flavobacteriales.f__.Weeksellaceae..g__Elizabethkingia.s__meningoseptica" 0 0 0.02 0.06 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__firmus.1" 0 0 0.01 0.04 +"k__Bacteria.p__Bacteroidetes.c__Sphingobacteriia.o__Sphingobacteriales.f__Sphingobacteriaceae.g__Pedobacter.s__.10" 0 0 0.02 0.03 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__.48" 0 0.01 0.06 0.03 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.94" 0 0 0.08 0.09 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Streptomycetaceae.g__Streptomyces.s__.30" 0 0 0.03 0.01 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Rhodocyclales.f__Rhodocyclaceae.g__Dechloromonas.s__.3" 0 0 0.06 0.03 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.95" 0 0.01 0.19 0.18 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Comamonadaceae.g__Rubrivivax.s__.5" 0.01 0.02 0.04 0.06 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Comamonadaceae.g__Methylibium.s__.8" 0 0 0.03 0.11 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Xanthomonadales.f__Xanthomonadaceae.g__Dokdonella.s__.5" 0 0 0.04 0.02 +"k__Bacteria.p__Bacteroidetes.c__.Saprospirae..o__.Saprospirales..f__Chitinophagaceae.g__Flavisolibacter.s__.33" 0 0 0.06 0.03 +"k__Bacteria.p__Proteobacteria.c__Deltaproteobacteria.o__Bdellovibrionales.f__Bdellovibrionaceae.g__Bdellovibrio.s__.15" 0 0 0.18 0.04 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Microbacteriaceae.g__Agromyces.s__.6" 0 0 0.03 0.04 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.96" 0 0 0.26 0.05 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Caulobacterales.f__Caulobacteraceae.g__Caulobacter.s__henricii" 0 0 0 0.08 +"k__Bacteria.p__Actinobacteria.c__Rubrobacteria.o__Rubrobacterales.f__Rubrobacteraceae.g__Rubrobacter.s__.21" 0 0 0.05 0.08 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Devosia.s__.22" 0 0 0.03 0.04 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Devosia.s__.23" 0 0 0.02 0.03 +"k__Bacteria.p__Bacteroidetes.c__Cytophagia.o__Cytophagales.f__.Amoebophilaceae..g__Candidatus.Amoebophilus.s__" 0 0 0 0.05 +"k__Bacteria.p__Firmicutes.c__Clostridia.o__Clostridiales.f__Clostridiaceae.g__Caloramator.s__" 0 0 0.04 0.03 +"k__Bacteria.p__Bacteroidetes.c__Bacteroidia.o__Bacteroidales.f__Porphyromonadaceae.g__Paludibacter.s__.3" 0 0 0.06 0.1 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.97" 0 0 0.01 0.06 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__cereus.4" 0 0.01 0.01 0.05 +"k__Bacteria.p__Actinobacteria.c__Rubrobacteria.o__Rubrobacterales.f__Rubrobacteraceae.g__Rubrobacter.s__.22" 0.43 0.6 0.86 0.24 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.98" 0 0 0.03 0.07 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__.49" 0 0 0.01 0.04 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.64" 0 0.01 0.06 0.06 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.65" 0 0 0.04 0.07 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Rhodobiaceae.g__Afifella.s__.13" 0 0.01 0.22 0.05 +"k__Bacteria.p__Acidobacteria.c__Acidobacteriia.o__Acidobacteriales.f__Koribacteraceae.g__Candidatus.Koribacter.s__.26" 0 0 0.04 0.03 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Rhizobiaceae.g__Rhizobium.s__leguminosarum.1" 0 0 0.01 0.01 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Hyphomicrobium.s__.8" 0.04 0.02 0.08 0.02 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.66" 0.11 0.2 0.39 0.1 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Lactobacillales.f__Lactobacillaceae.g__Lactobacillus.s__iners" 0 0.01 0.07 0.04 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.67" 0 0 0.03 0.06 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Lactobacillales.f__Carnobacteriaceae.g__Granulicatella.s__.2" 0 0.01 0.07 0.04 +"k__Bacteria.p__Firmicutes.c__Clostridia.o__Clostridiales.f__Peptococcaceae.g__Desulfosporosinus.s__meridiei.1" 0 0 0.08 0.05 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhodobacterales.f__Rhodobacteraceae.g__Rubellimicrobium.s__.5" 0 0 0.01 0.03 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Sphingomonas.s__wittichii.9" 0 0 0.1 0.07 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__.50" 0 0 0.19 0.1 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Alicyclobacillaceae.g__Alicyclobacillus.s__.6" 0 0 0.03 0.05 +"k__Bacteria.p__Verrucomicrobia.c__.Spartobacteria..o__.Chthoniobacterales..f__.Chthoniobacteraceae..g__DA101.s__.46" 0.01 0 0.08 0.05 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Nocardioidaceae.g__Nocardioides.s__dilutus" 0 0 0.05 0.03 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Planococcaceae.g__Planococcus.s__maritimus" 0 0 0.13 0.03 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Comamonadaceae.g__Methylibium.s__.9" 0 0 0.1 0.09 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Phyllobacteriaceae.g__Aminobacter.s__.1" 0 0 0.04 0 +"k__Bacteria.p__Verrucomicrobia.c__.Spartobacteria..o__.Chthoniobacterales..f__.Chthoniobacteraceae..g__DA101.s__.47" 0.01 0.04 0.47 0.04 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Planococcaceae.g__Sporosarcina.s__.4" 0 0 0 0.03 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.99" 0 0 0.01 0.01 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Sphingobium.s__.9" 0.01 0.01 0.09 0.07 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.68" 0 0.02 0.14 0.02 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__.51" 0 0.02 0.04 0.04 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__.52" 0 0 0.03 0.06 +"k__Bacteria.p__Firmicutes.c__Clostridia.o__Clostridiales.f__Clostridiaceae.g__Clostridium.s__perfringens" 0 0 0.03 0.04 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Comamonadaceae.g__Xylophilus.s__ampelinus" 0.01 0.02 0.09 0.03 +"k__Bacteria.p__Bacteroidetes.c__Flavobacteriia.o__Flavobacteriales.f__Flavobacteriaceae.g__Flavobacterium.s__.40" 0 0 0 0.04 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.69" 0 0.02 0.25 0.06 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Legionellales.f__Legionellaceae.g__Legionella.s__.7" 0 0 0.03 0.06 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Streptomycetaceae.g__Streptomyces.s__.31" 0 0 0.08 0.06 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Comamonadaceae.g__Paucibacter.s__" 0 0 0.04 0.01 +"k__Bacteria.p__Proteobacteria.c__Deltaproteobacteria.o__Bdellovibrionales.f__Bdellovibrionaceae.g__Bdellovibrio.s__.16" 0 0 0.04 0.03 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__.53" 0 0 0.13 0.04 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Cellulomonadaceae.g__Cellulomonas.s__.1" 0 0 0 0.04 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.70" 0 0 0.1 0.07 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Nocardioidaceae.g__Nocardioides.s__.7" 0 0 0.03 0.03 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.71" 0.05 0.15 0.5 0.12 +"k__Bacteria.p__Bacteroidetes.c__Flavobacteriia.o__Flavobacteriales.f__Flavobacteriaceae.g__Flavobacterium.s__.41" 0 0 0.13 0.04 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Kaistobacter.s__.26" 0 0 0 0.03 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.100" 0 0 0.1 0.07 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Sphingobium.s__.10" 0 0 0.04 0.06 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Blastomonas.s__" 0 0 0.01 0.04 +"k__Bacteria.p__Bacteroidetes.c__Sphingobacteriia.o__Sphingobacteriales.f__Sphingobacteriaceae.g__Pedobacter.s__.11" 0 0 0.04 0.06 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.72" 0 0 0 0.07 +"k__Bacteria.p__Bacteroidetes.c__Flavobacteriia.o__Flavobacteriales.f__.Weeksellaceae..g__Chryseobacterium.s__.7" 0 0 0.03 0.07 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Lactobacillales.f__Streptococcaceae.g__Streptococcus.s__.5" 0 0 0.03 0.04 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Rhizobiaceae.g__Agrobacterium.s__.11" 0 0 0.06 0.05 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Comamonadaceae.g__Mitsuaria.s__chitosanitabida" 0 0 0.03 0.02 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Comamonadaceae.g__Rubrivivax.s__.6" 0 0 0.03 0.04 +"k__Bacteria.p__Acidobacteria.c__Acidobacteriia.o__Acidobacteriales.f__Koribacteraceae.g__Candidatus.Koribacter.s__versatilis.2" 0.05 0.1 0.2 0.06 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.73" 0 0 0.04 0.06 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Pedomicrobium.s__.7" 0 0 0.05 0.02 +"k__Bacteria.p__Nitrospirae.c__Nitrospira.o__Nitrospirales.f__Nitrospiraceae.g__Nitrospira.s__.6" 0 0 0.04 0.07 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Streptomycetaceae.g__Streptomyces.s__.32" 0 0 0 0.02 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Comamonadaceae.g__Methylibium.s__.10" 0 0 0.1 0.03 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Rhodocyclales.f__Rhodocyclaceae.g__Dechloromonas.s__.4" 0 0 0.03 0.02 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.74" 0.11 0.13 0.68 0.24 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.101" 0 0.01 0 0.11 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Paenibacillaceae.g__Paenibacillus.s__.21" 0 0.02 0.29 0.05 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.102" 0 0 0.03 0.02 +"k__Bacteria.p__Bacteroidetes.c__Cytophagia.o__Cytophagales.f__Cytophagaceae.g__Rhodocytophaga.s__.5" 0 0 0.02 0.05 +"k__Bacteria.p__Verrucomicrobia.c__.Spartobacteria..o__.Chthoniobacterales..f__.Chthoniobacteraceae..g__DA101.s__.48" 0 0.01 0.06 0.11 +"k__Bacteria.p__Verrucomicrobia.c__.Spartobacteria..o__.Chthoniobacterales..f__.Chthoniobacteraceae..g__DA101.s__.49" 0 0 0.03 0.04 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Oxalobacteraceae.g__Cupriavidus.s__.3" 0 0 0 0.01 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Streptomycetaceae.g__Streptomyces.s__.33" 0 0 0.02 0.03 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Legionellales.f__Coxiellaceae.g__Aquicella.s__.10" 0.04 0.07 0.12 0.12 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Pseudomonadales.f__Pseudomonadaceae.g__Pseudomonas.s__mendocina" 0 0.01 0.03 0.05 +"k__Bacteria.p__Bacteroidetes.c__Flavobacteriia.o__Flavobacteriales.f__Flavobacteriaceae.g__Flavobacterium.s__.42" 0 0 0.02 0.04 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Sphingomonas.s__.23" 0 0.01 0.02 0.09 +"k__Bacteria.p__Bacteroidetes.c__Cytophagia.o__Cytophagales.f__Cytophagaceae.g__Hymenobacter.s__.8" 0 0 0 0.04 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Paenibacillaceae.g__Paenibacillus.s__.22" 0 0.04 0.3 0.03 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Burkholderiaceae.g__Burkholderia.s__glathei.1" 0.02 0.06 0.15 0.15 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Corynebacteriaceae.g__Corynebacterium.s__" 0 0 0.04 0.05 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Rhodobiaceae.g__Afifella.s__.14" 0.01 0.03 0.25 0.02 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Lactobacillales.f__Streptococcaceae.g__Streptococcus.s__.6" 0 0.01 0.03 0.11 +"k__Bacteria.p__Proteobacteria.c__Deltaproteobacteria.o__.Entotheonellales..f__.Entotheonellaceae..g__Candidatus.Entotheonella.s__.2" 0 0 0.03 0.03 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Xanthomonadales.f__Xanthomonadaceae.g__Stenotrophomonas.s__" 0 0 0.04 0.08 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__.54" 0 0 0.03 0.08 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.103" 0 0 0.02 0.04 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Lactobacillales.f__Lactobacillaceae.g__Lactobacillus.s__" 0 0 0.03 0.02 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Devosia.s__.24" 0 0.01 0.17 0.04 +"k__Bacteria.p__Nitrospirae.c__Nitrospira.o__Nitrospirales.f__FW.g__4.29.s__.2" 0 0 0.03 0.06 +"k__Bacteria.p__Bacteroidetes.c__.Saprospirae..o__.Saprospirales..f__Chitinophagaceae.g__Chitinophaga.s__arvensicola" 0 0 0.01 0.07 +"k__Bacteria.p__Verrucomicrobia.c__.Spartobacteria..o__.Chthoniobacterales..f__.Chthoniobacteraceae..g__DA101.s__.50" 0 0.01 0.12 0.1 +"k__Bacteria.p__Verrucomicrobia.c__.Spartobacteria..o__.Chthoniobacterales..f__.Chthoniobacteraceae..g__DA101.s__.51" 0 0 0.01 0.05 +"k__Bacteria.p__Verrucomicrobia.c__.Spartobacteria..o__.Chthoniobacterales..f__.Chthoniobacteraceae..g__Ellin506.s__.1" 0 0 0.05 0.06 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Xanthomonadales.f__Xanthomonadaceae.g__Lysobacter.s__.4" 0 0 0.15 0.02 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.104" 0 0 0.12 0.13 +"k__Bacteria.p__Cyanobacteria.c__Synechococcophycideae.o__Pseudanabaenales.f__Pseudanabaenaceae.g__Leptolyngbya.s__.1" 0 0.01 0.04 0.07 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Xanthobacteraceae.g__Labrys.s__.1" 0 0 0.14 0.03 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Nocardiaceae.g__Rhodococcus.s__.2" 0 0.01 0.02 0.05 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Xanthomonadales.f__Xanthomonadaceae.g__Pseudoxanthomonas.s__" 0 0 0.02 0.04 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Methylobacteriaceae.g__Methylobacterium.s__.6" 0 0 0.02 0.05 +"k__Bacteria.p__Bacteroidetes.c__Sphingobacteriia.o__Sphingobacteriales.f__Sphingobacteriaceae.g__Pedobacter.s__.12" 0 0 0.13 0.04 +"k__Bacteria.p__Verrucomicrobia.c__.Spartobacteria..o__.Chthoniobacterales..f__.Chthoniobacteraceae..g__Chthoniobacter.s__.3" 0 0.03 0.23 0.08 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Novosphingobium.s__.11" 0 0.01 0.02 0.04 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Comamonadaceae.g__Ramlibacter.s__.4" 0 0 0.1 0.07 +"k__Bacteria.p__Proteobacteria.c__Deltaproteobacteria.o__Bdellovibrionales.f__Bdellovibrionaceae.g__Bdellovibrio.s__.17" 0 0 0.04 0.04 +"k__Bacteria.p__Verrucomicrobia.c__Opitutae.o__Opitutales.f__Opitutaceae.g__Opitutus.s__.6" 0 0 0.02 0.05 +"k__Bacteria.p__Bacteroidetes.c__Flavobacteriia.o__Flavobacteriales.f__.Weeksellaceae..g__Chryseobacterium.s__.8" 0 0 0.01 0.05 +"k__Bacteria.p__Bacteroidetes.c__.Saprospirae..o__.Saprospirales..f__Chitinophagaceae.g__Segetibacter.s__.19" 0 0 0 0.04 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Rhizobiaceae.g__Agrobacterium.s__.12" 0 0 0.02 0.07 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Comamonadaceae.g__Limnohabitans.s__.2" 0 0 0.04 0.04 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Sphingobium.s__.11" 0 0 0.06 0.03 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Nocardiaceae.g__Rhodococcus.s__.3" 0 0 0 0.07 +"k__Bacteria.p__Proteobacteria.c__Deltaproteobacteria.o__Desulfuromonadales.f__Geobacteraceae.g__Geobacter.s__.14" 0 0 0.02 0.04 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Sphingomonas.s__.24" 0 0.02 0.26 0.05 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Caulobacterales.f__Caulobacteraceae.g__Caulobacter.s__.2" 0 0 0.02 0.03 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Comamonadaceae.g__Methylibium.s__.11" 0 0 0 0 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Mycobacteriaceae.g__Mycobacterium.s__.17" 0 0 0.03 0.04 +"k__Bacteria.p__Armatimonadetes.c__Chthonomonadetes.o__Chthonomonadales.f__Chthonomonadaceae.g__Chthonomonas.s__" 0 0 0 0.05 +"k__Bacteria.p__Bacteroidetes.c__Cytophagia.o__Cytophagales.f__Cytophagaceae.g__Spirosoma.s__.3" 0 0.01 0.12 0.04 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Comamonadaceae.g__Hydrogenophaga.s__.2" 0 0 0.03 0.05 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Pseudomonadales.f__Pseudomonadaceae.g__Pseudomonas.s__stutzeri.1" 0 0 0.02 0.04 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Mycobacteriaceae.g__Mycobacterium.s__.18" 0.01 0 0 0.06 +"k__Bacteria.p__Nitrospirae.c__Nitrospira.o__Nitrospirales.f__FW.g__4.29.s__.3" 0 0 0.03 0.03 +"k__Bacteria.p__Verrucomicrobia.c__.Spartobacteria..o__.Chthoniobacterales..f__.Chthoniobacteraceae..g__DA101.s__.52" 0 0 0.02 0.07 +"k__Bacteria.p__Bacteroidetes.c__.Saprospirae..o__.Saprospirales..f__Chitinophagaceae.g__Flavisolibacter.s__.34" 0 0 0 0.02 +"k__Bacteria.p__Verrucomicrobia.c__.Pedosphaerae..o__.Pedosphaerales..f__.Pedosphaeraceae..g__Pedosphaera.s__.1" 0 0 0.08 0.07 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Mycobacteriaceae.g__Mycobacterium.s__.19" 0 0.01 0.04 0.09 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Rhodobiaceae.g__Afifella.s__.15" 0 0 0.03 0.02 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Mycobacteriaceae.g__Mycobacterium.s__.20" 0 0 0 0.01 +"k__Bacteria.p__Bacteroidetes.c__.Saprospirae..o__.Saprospirales..f__Chitinophagaceae.g__Flavisolibacter.s__.35" 0 0 0.25 0.02 +"k__Bacteria.p__Bacteroidetes.c__.Saprospirae..o__.Saprospirales..f__Chitinophagaceae.g__Segetibacter.s__.20" 0 0 0 0.02 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Alteromonadales.f__Alteromonadaceae.g__Cellvibrio.s__.3" 0 0 0 0.03 +"k__Bacteria.p__Acidobacteria.c__Acidobacteriia.o__Acidobacteriales.f__Acidobacteriaceae.g__Edaphobacter.s__modestum" 0 0 0.01 0.12 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Kaistobacter.s__.27" 0.01 0.01 0.14 0.04 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Sphingobium.s__xenophagum" 0 0.02 0.09 0.04 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Comamonadaceae.g__Ramlibacter.s__.5" 0 0.01 0 0.05 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Cellulomonadaceae.g__Actinotalea.s__" 0 0 0.02 0.04 +"k__Bacteria.p__Proteobacteria.c__Deltaproteobacteria.o__Desulfuromonadales.f__Geobacteraceae.g__Geobacter.s__.15" 0.01 0 0.02 0.06 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Pseudomonadales.f__Pseudomonadaceae.g__Pseudomonas.s__.13" 0 0 0.2 0.02 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Xanthobacteraceae.g__Labrys.s__.2" 0 0 0.02 0.06 +"k__Bacteria.p__Actinobacteria.c__Rubrobacteria.o__Rubrobacterales.f__Rubrobacteraceae.g__Rubrobacter.s__.23" 0 0.01 0 0.08 +"k__Bacteria.p__Bacteroidetes.c__Flavobacteriia.o__Flavobacteriales.f__Flavobacteriaceae.g__Flavobacterium.s__.43" 0 0 0.04 0.03 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Oxalobacteraceae.g__Janthinobacterium.s__.8" 0 0 0.05 0.03 +"k__Bacteria.p__Acidobacteria.c__Acidobacteriia.o__Acidobacteriales.f__Acidobacteriaceae.g__Edaphobacter.s__modestum.1" 0 0 0.02 0.1 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Devosia.s__.25" 0 0 0 0.03 +"k__Bacteria.p__Tenericutes.c__Mollicutes.o__Anaeroplasmatales.f__Anaeroplasmataceae.g__Asteroleplasma.s__.4" 0 0 0.02 0.05 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Comamonadaceae.g__Ramlibacter.s__.6" 0 0 0.01 0.09 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Alicyclobacillaceae.g__Alicyclobacillus.s__.7" 0 0 0.02 0.03 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhodospirillales.f__Rhodospirillaceae.g__Telmatospirillum.s__.3" 0.02 0.04 0.12 0.08 +"k__Bacteria.p__Bacteroidetes.c__.Saprospirae..o__.Saprospirales..f__Chitinophagaceae.g__Flavisolibacter.s__.36" 0 0 0 0.05 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Alicyclobacillaceae.g__Alicyclobacillus.s__.8" 0 0.04 0.24 0.07 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__.55" 0 0.01 0.03 0.02 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Devosia.s__.26" 0 0 0.03 0.08 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.75" 0.08 0.19 0.6 0.23 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Burkholderiaceae.g__Burkholderia.s__.16" 0 0 0.02 0.09 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Kaistobacter.s__.28" 0 0 0.01 0.06 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Alcaligenaceae.g__Achromobacter.s__" 0 0 0.07 0.08 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Pseudomonadales.f__Pseudomonadaceae.g__Pseudomonas.s__stutzeri.2" 0 0 0.05 0.01 +"k__Bacteria.p__Verrucomicrobia.c__.Spartobacteria..o__.Chthoniobacterales..f__.Chthoniobacteraceae..g__Candidatus.Xiphinematobacter.s__.4" 0 0.01 0.13 0.06 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.105" 0 0 0.02 0.06 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhodospirillales.f__Rhodospirillaceae.g__Skermanella.s__.5" 0 0 0.01 0.18 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhodospirillales.f__Acetobacteraceae.g__Acidisoma.s__" 0 0 0.02 0.09 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Pseudomonadales.f__Pseudomonadaceae.g__Pseudomonas.s__.14" 0 0 0.05 0.09 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Kineosporiaceae.g__Kineosporia.s__.1" 0 0 0.01 0.06 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Pseudonocardiaceae.g__Pseudonocardia.s__.12" 0 0 0.02 0.07 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.76" 0 0 0 0.11 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Pseudomonadales.f__Moraxellaceae.g__Acinetobacter.s__.4" 0 0 0.04 0.05 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Rhizobiaceae.g__Rhizobium.s__.2" 0 0 0.01 0.03 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Legionellales.f__Coxiellaceae.g__Aquicella.s__.11" 0 0 0.05 0.04 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Lactobacillales.f__Streptococcaceae.g__Streptococcus.s__.7" 0 0 0.05 0.06 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Streptomycetaceae.g__Kitasatospora.s__.1" 0 0 0 0.04 +"k__Bacteria.p__Nitrospirae.c__Nitrospira.o__Nitrospirales.f__.Thermodesulfovibrionaceae..g__GOUTA19.s__.1" 0 0 0.03 0.03 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.77" 0 0.01 0.04 0.07 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Nocardiaceae.g__Nocardia.s__.2" 0 0 0.01 0.05 +"k__Bacteria.p__Actinobacteria.c__Rubrobacteria.o__Rubrobacterales.f__Rubrobacteraceae.g__Rubrobacter.s__.24" 0.32 0.42 0.78 0.21 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Micromonosporaceae.g__Virgisporangium.s__ochraceum.3" 0 0.01 0.01 0.04 +"k__Bacteria.p__Actinobacteria.c__Rubrobacteria.o__Rubrobacterales.f__Rubrobacteraceae.g__Rubrobacter.s__.25" 0 0.01 0.06 0.02 +"k__Bacteria.p__Planctomycetes.c__Planctomycetia.o__Gemmatales.f__Gemmataceae.g__Gemmata.s__" 0 0.01 0.03 0.05 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.78" 0 0.01 0.04 0.07 +"k__Bacteria.p__Proteobacteria.c__Deltaproteobacteria.o__Bdellovibrionales.f__Bdellovibrionaceae.g__Bdellovibrio.s__.18" 0 0 0.02 0.05 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__.56" 0 0.01 0.13 0.03 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Rhodocyclales.f__Rhodocyclaceae.g__Zoogloea.s__.1" 0 0 0.03 0.06 +"k__Bacteria.p__Acidobacteria.c__Acidobacteriia.o__Acidobacteriales.f__Koribacteraceae.g__Candidatus.Koribacter.s__.27" 0.04 0.11 0.48 0.22 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Xanthomonadales.f__Sinobacteraceae.g__Hydrocarboniphaga.s__" 0 0 0.05 0.05 +"k__Bacteria.p__Bacteroidetes.c__Cytophagia.o__Cytophagales.f__Cytophagaceae.g__Pontibacter.s__" 0 0.01 0.09 0.03 +"k__Bacteria.p__Bacteroidetes.c__.Saprospirae..o__.Saprospirales..f__Chitinophagaceae.g__Chitinophaga.s__.2" 0 0 0.04 0.06 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Promicromonosporaceae.g__Cellulosimicrobium.s__" 0 0 0.01 0.06 +"k__Bacteria.p__Proteobacteria.c__Deltaproteobacteria.o__Myxococcales.f__Polyangiaceae.g__Sorangium.s__" 0 0 0.03 0.05 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Sphingomonas.s__.25" 0 0 0.01 0.01 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Kaistobacter.s__.29" 0 0 0.04 0.08 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Comamonadaceae.g__Rubrivivax.s__.7" 0 0 0.01 0.01 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Devosia.s__.27" 0 0 0.01 0.06 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Comamonadaceae.g__Limnohabitans.s__.3" 0 0 0.02 0.04 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Microbacteriaceae.g__Mycetocola.s__" 0 0 0.03 0.07 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.106" 0 0 0.06 0.04 +"k__Bacteria.p__Verrucomicrobia.c__.Spartobacteria..o__.Chthoniobacterales..f__.Chthoniobacteraceae..g__DA101.s__.53" 0 0 0.02 0 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Sphingomonas.s__.26" 0 0 0.04 0.04 +"k__Bacteria.p__Proteobacteria.c__Deltaproteobacteria.o__Desulfuromonadales.f__Geobacteraceae.g__Geobacter.s__.16" 0 0 0 0.07 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhodobacterales.f__Rhodobacteraceae.g__Rhodobacter.s__.1" 0 0 0.12 0.05 +"k__Bacteria.p__Firmicutes.c__Clostridia.o__Clostridiales.f__Veillonellaceae.g__Pelosinus.s__.3" 0 0 0.02 0.07 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.79" 0.02 0.05 0.5 0.13 +"k__Bacteria.p__Firmicutes.c__Clostridia.o__Clostridiales.f__Clostridiaceae.g__Clostridium.s__.16" 0 0.01 0.07 0.03 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Oxalobacteraceae.g__Massilia.s__haematophila" 0 0 0.02 0.07 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Micromonosporaceae.g__Actinoplanes.s__.3" 0 0 0.01 0.03 +"k__Bacteria.p__Proteobacteria.c__Deltaproteobacteria.o__Desulfuromonadales.f__Geobacteraceae.g__Geobacter.s__.17" 0 0 0.03 0.04 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Rhizobiaceae.g__Rhizobium.s__.3" 0 0 0.13 0.05 +"k__Bacteria.p__Proteobacteria.c__Deltaproteobacteria.o__Desulfuromonadales.f__Geobacteraceae.g__Geobacter.s__.18" 0.02 0.04 0.14 0.03 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Streptomycetaceae.g__Streptomyces.s__.34" 0 0 0.02 0.07 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Comamonadaceae.g__Ramlibacter.s__.7" 0 0 0 0.02 +"k__Bacteria.p__Bacteroidetes.c__Cytophagia.o__Cytophagales.f__Cytophagaceae.g__Hymenobacter.s__.9" 0 0 0.01 0.08 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Cellulomonadaceae.g__Demequina.s__.1" 0 0 0.04 0.02 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhodospirillales.f__Rhodospirillaceae.g__Skermanella.s__.6" 0 0 0 0.02 +"k__Bacteria.p__Proteobacteria.c__Deltaproteobacteria.o__Myxococcales.f__Polyangiaceae.g__Sorangium.s__.1" 0 0 0.02 0.1 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rickettsiales.f__mitochondria.g__Syntrichia.s__ruralis" 0 0 0 0.04 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.107" 0 0 0.12 0.02 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Xanthomonadales.f__Xanthomonadaceae.g__Rhodanobacter.s__lindaniclasticus" 0 0.03 0.27 0.08 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Planococcaceae.g__Sporosarcina.s__.5" 0.05 0.07 0.37 0.06 +"k__Bacteria.p__Proteobacteria.c__Deltaproteobacteria.o__Bdellovibrionales.f__Bdellovibrionaceae.g__Bdellovibrio.s__.19" 0 0 0.06 0.05 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Paenibacillaceae.g__Paenibacillus.s__.23" 0 0 0.01 0.03 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Sphingomonas.s__wittichii.10" 0 0 0.02 0.04 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Paenibacillaceae.g__Paenibacillus.s__.24" 0 0 0.03 0.06 +"k__Bacteria.p__Firmicutes.c__Clostridia.o__Clostridiales.f__Clostridiaceae.g__Clostridium.s__.17" 0 0 0.04 0.06 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Planococcaceae.g__Sporosarcina.s__.6" 0 0 0.02 0.06 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Novosphingobium.s__.12" 0 0 0.09 0.06 +"k__Bacteria.p__Nitrospirae.c__Nitrospira.o__Nitrospirales.f__Nitrospiraceae.g__JG37.AG.70.s__.1" 0 0 0.02 0.04 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Rhodocyclales.f__Rhodocyclaceae.g__Dok59.s__.1" 0 0 0.04 0.01 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Rhizobiaceae.g__Agrobacterium.s__.13" 0 0 0.01 0.05 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Burkholderiaceae.g__Burkholderia.s__.17" 0 0 0.01 0.09 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Streptomycetaceae.g__Streptomyces.s__.35" 0 0 0.01 0.06 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Planococcaceae.g__Planomicrobium.s__.5" 0 0 0.01 0.07 +"k__Bacteria.p__Acidobacteria.c__Holophagae.o__Holophagales.f__Holophagaceae.g__Geothrix.s__.2" 0 0 0.04 0.05 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Sphingomonas.s__wittichii.11" 0 0 0.08 0.05 +"k__Bacteria.p__Bacteroidetes.c__Cytophagia.o__Cytophagales.f__Cytophagaceae.g__Dyadobacter.s__.3" 0 0 0.1 0.04 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Lactobacillales.f__Streptococcaceae.g__Streptococcus.s__.8" 0 0 0.08 0.07 +"k__Bacteria.p__Bacteroidetes.c__Flavobacteriia.o__Flavobacteriales.f__Flavobacteriaceae.g__Flavobacterium.s__.44" 0 0 0.11 0.07 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Alicyclobacillaceae.g__Alicyclobacillus.s__.9" 0 0.03 0.22 0.07 +"k__Bacteria.p__Bacteroidetes.c__Flavobacteriia.o__Flavobacteriales.f__.Weeksellaceae..g__Chryseobacterium.s__.9" 0 0 0.02 0.04 +"k__Bacteria.p__Bacteroidetes.c__Cytophagia.o__Cytophagales.f__Cytophagaceae.g__Adhaeribacter.s__.16" 0 0 0 0.02 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.108" 0 0 0.01 0.04 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Comamonadaceae.g__Variovorax.s__paradoxus.3" 0 0.01 0.28 0.08 +"k__Bacteria.p__Proteobacteria.c__Deltaproteobacteria.o__Myxococcales.f__Myxococcaceae.g__Anaeromyxobacter.s__.3" 0 0 0.05 0.07 +"k__Bacteria.p__Bacteroidetes.c__Cytophagia.o__Cytophagales.f__Cytophagaceae.g__Hymenobacter.s__.10" 0 0 0.01 0.06 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Streptomycetaceae.g__Streptomyces.s__reticuliscabiei" 0 0 0.03 0.04 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Caulobacterales.f__Caulobacteraceae.g__Phenylobacterium.s__.9" 0 0 0.01 0.03 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Planococcaceae.g__Lysinibacillus.s__massiliensis" 0 0 0.03 0.05 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Devosia.s__.28" 0 0 0.01 0.04 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Alicyclobacillaceae.g__Alicyclobacillus.s__.10" 0 0.01 0.03 0.03 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Streptomycetaceae.g__Streptomyces.s__purpeofuscus" 0 0 0.03 0.05 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhodospirillales.f__Rhodospirillaceae.g__Skermanella.s__.7" 0 0 0.01 0.1 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Kaistobacter.s__.30" 0 0 0 0.04 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhodospirillales.f__Rhodospirillaceae.g__Skermanella.s__.8" 0 0 0.02 0.03 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Legionellales.f__Coxiellaceae.g__Aquicella.s__.12" 0 0 0.02 0.03 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.80" 0 0.02 0.13 0.05 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Planococcaceae.g__Lysinibacillus.s__boronitolerans.1" 0 0 0.03 0.07 +"k__Bacteria.p__Firmicutes.c__Clostridia.o__Clostridiales.f__Veillonellaceae.g__Veillonella.s__parvula" 0 0 0.01 0.07 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Oxalobacteraceae.g__Cupriavidus.s__.4" 0 0 0.03 0.05 +"k__Bacteria.p__Nitrospirae.c__Nitrospira.o__Nitrospirales.f__Nitrospiraceae.g__Nitrospira.s__.7" 0.01 0 0.08 0.05 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Microbacteriaceae.g__Microbacterium.s__.5" 0 0 0.03 0.07 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.109" 0 0 0.03 0.1 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Streptomycetaceae.g__Streptomyces.s__lanatus" 0 0 0.02 0.02 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Planococcaceae.g__Rummeliibacillus.s__" 0 0 0.03 0.02 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__.57" 0.46 0.49 0.92 0.13 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Rhizobiaceae.g__Rhizobium.s__.4" 0 0.01 0.1 0.11 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Microbacteriaceae.g__Microbacterium.s__.6" 0.01 0.02 0.14 0.05 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhodospirillales.f__Acetobacteraceae.g__Roseomonas.s__.1" 0 0.01 0.03 0.07 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.110" 0 0 0.02 0.04 +"k__Bacteria.p__Bacteroidetes.c__Sphingobacteriia.o__Sphingobacteriales.f__Sphingobacteriaceae.g__Pedobacter.s__.13" 0 0 0.01 0.02 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__.58" 0 0 0.03 0.05 +"k__Bacteria.p__Firmicutes.c__Clostridia.o__Clostridiales.f__Clostridiaceae.g__Caloramator.s__.1" 0 0 0.04 0.05 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.111" 0 0 0.11 0.21 +"k__Bacteria.p__Acidobacteria.c__Acidobacteriia.o__Acidobacteriales.f__Acidobacteriaceae.g__Edaphobacter.s__" 0.12 0.18 0.47 0.29 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.81" 0.01 0.01 0.04 0.09 +"k__Bacteria.p__Nitrospirae.c__Nitrospira.o__Nitrospirales.f__Nitrospiraceae.g__Nitrospira.s__.8" 0 0 0.01 0.05 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Xanthobacteraceae.g__Labrys.s__.3" 0 0 0.02 0.02 +"k__Bacteria.p__Proteobacteria.c__Deltaproteobacteria.o__Bdellovibrionales.f__Bdellovibrionaceae.g__Bdellovibrio.s__.20" 0 0 0.1 0.06 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Pseudonocardiaceae.g__Pseudonocardia.s__.13" 0 0 0.02 0.01 +"k__Bacteria.p__Bacteroidetes.c__Flavobacteriia.o__Flavobacteriales.f__Flavobacteriaceae.g__Flavobacterium.s__.45" 0 0.01 0.04 0.03 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.82" 0.01 0.03 0.14 0.27 +"k__Bacteria.p__Bacteroidetes.c__Sphingobacteriia.o__Sphingobacteriales.f__Sphingobacteriaceae.g__Pedobacter.s__.14" 0 0.01 0.04 0.02 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Bogoriellaceae.g__Georgenia.s__" 0 0 0.06 0.06 +"k__Bacteria.p__Spirochaetes.c__Spirochaetes.o__Spirochaetales.f__Spirochaetaceae.g__Spirochaeta.s__aurantia" 0 0.01 0.05 0.08 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.112" 0 0 0 0.02 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.113" 0 0 0.01 0.05 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Rhizobiaceae.g__Agrobacterium.s__.14" 0 0 0 0.05 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Devosia.s__.29" 0 0 0.05 0.05 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Comamonadaceae.g__Variovorax.s__paradoxus.4" 0.02 0.03 0.15 0.05 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Comamonadaceae.g__Polaromonas.s__.5" 0 0 0.15 0.04 +"k__Bacteria.p__Firmicutes.c__Clostridia.o__Clostridiales.f__Veillonellaceae.g__Pelosinus.s__.4" 0 0 0.01 0.08 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Pedomicrobium.s__.8" 0 0 0.05 0.02 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Xanthobacteraceae.g__Labrys.s__.4" 0 0.01 0.07 0.03 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Burkholderiaceae.g__Burkholderia.s__.18" 0 0.01 0.05 0.04 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Sphingomonas.s__wittichii.12" 0 0.01 0.11 0.03 +"k__Bacteria.p__Firmicutes.c__Clostridia.o__Clostridiales.f__Ruminococcaceae.g__Clostridium.s__hungatei" 0 0 0.11 0.02 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Microbacteriaceae.g__Frigoribacterium.s__" 0 0 0.03 0.08 +"k__Bacteria.p__Bacteroidetes.c__Cytophagia.o__Cytophagales.f__Cytophagaceae.g__Hymenobacter.s__.11" 0 0 0.09 0.04 +"k__Bacteria.p__Gemmatimonadetes.c__Gemmatimonadetes.o__Gemmatimonadales.f__Gemmatimonadaceae.g__Gemmatimonas.s__.4" 0 0 0.01 0.07 +"k__Bacteria.p__Bacteroidetes.c__Cytophagia.o__Cytophagales.f__Cytophagaceae.g__Cytophaga.s__" 0 0 0.06 0.06 +"k__Bacteria.p__Bacteroidetes.c__Flavobacteriia.o__Flavobacteriales.f__Flavobacteriaceae.g__Flavobacterium.s__.46" 0 0 0.02 0.1 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Sphingomonas.s__.27" 0 0 0.03 0.04 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Microbacteriaceae.g__Agromyces.s__.7" 0 0.01 0.03 0.03 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Xanthobacteraceae.g__Labrys.s__.5" 0 0.01 0.02 0.05 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Planococcaceae.g__Planomicrobium.s__.6" 0 0 0.11 0.03 +"k__Bacteria.p__Cyanobacteria.c__Synechococcophycideae.o__Pseudanabaenales.f__Pseudanabaenaceae.g__Leptolyngbya.s__.2" 0 0 0.02 0.05 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Comamonadaceae.g__Variovorax.s__.1" 0 0 0 0.02 +"k__Bacteria.p__Proteobacteria.c__Deltaproteobacteria.o__Desulfuromonadales.f__Geobacteraceae.g__Geobacter.s__.19" 0 0 0.02 0.04 +"k__Bacteria.p__Verrucomicrobia.c__Opitutae.o__Opitutales.f__Opitutaceae.g__Opitutus.s__.7" 0 0 0.13 0.05 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Phyllobacteriaceae.g__Mesorhizobium.s__.8" 0 0 0.02 0.04 +"k__Bacteria.p__Bacteroidetes.c__Cytophagia.o__Cytophagales.f__Cytophagaceae.g__Hymenobacter.s__.12" 0 0 0.02 0.03 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Kaistobacter.s__.31" 0 0 0.11 0.02 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Methylocystaceae.g__Methylosinus.s__.2" 0 0 0.06 0.02 +"k__Bacteria.p__Firmicutes.c__Clostridia.o__Clostridiales.f__Clostridiaceae.g__Clostridium.s__.18" 0 0 0.01 0.06 +"k__Bacteria.p__Nitrospirae.c__Nitrospira.o__Nitrospirales.f__Nitrospiraceae.g__JG37.AG.70.s__.2" 0 0 0.02 0.08 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__.59" 0 0.01 0.22 0.09 +"k__Bacteria.p__Cyanobacteria.c__Synechococcophycideae.o__Pseudanabaenales.f__Pseudanabaenaceae.g__Leptolyngbya.s__.3" 0 0 0 0.04 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.83" 0.02 0.1 0.43 0.14 +"k__Bacteria.p__Verrucomicrobia.c__Opitutae.o__Opitutales.f__Opitutaceae.g__Opitutus.s__.8" 0 0 0.06 0.03 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Xanthomonadales.f__Sinobacteraceae.g__Nevskia.s__.1" 0 0.01 0.02 0.04 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.114" 0 0.01 0.01 0.03 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhodospirillales.f__Rhodospirillaceae.g__Skermanella.s__.9" 0 0.01 0.17 0.03 +"k__Bacteria.p__Proteobacteria.c__Deltaproteobacteria.o__Myxococcales.f__Polyangiaceae.g__Byssovorax.s__cruenta" 0 0 0.01 0.06 +"k__Bacteria.p__Bacteroidetes.c__Cytophagia.o__Cytophagales.f__Cytophagaceae.g__Adhaeribacter.s__.17" 0 0 0 0.08 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Enterobacteriales.f__Enterobacteriaceae.g__Escherichia.s__coli" 0 0.01 0.01 0.06 +"k__Bacteria.p__Actinobacteria.c__Rubrobacteria.o__Rubrobacterales.f__Rubrobacteraceae.g__Rubrobacter.s__.26" 0 0 0.02 0.05 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Legionellales.f__Coxiellaceae.g__Rickettsiella.s__" 0 0 0.06 0.05 +"k__Bacteria.p__Verrucomicrobia.c__.Spartobacteria..o__.Chthoniobacterales..f__.Chthoniobacteraceae..g__OR.59.s__.2" 0 0 0.01 0 +"k__Bacteria.p__Bacteroidetes.c__.Saprospirae..o__.Saprospirales..f__Chitinophagaceae.g__Flavisolibacter.s__.37" 0.01 0.02 0.06 0.11 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Kaistobacter.s__.32" 0 0.02 0.06 0.04 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Pseudonocardiaceae.g__Pseudonocardia.s__.14" 0 0 0.01 0.08 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.115" 0 0.01 0.09 0.12 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Bradyrhizobiaceae.g__Balneimonas.s__.7" 0.06 0.07 0.33 0.1 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.116" 0 0 0.01 0.07 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Streptomycetaceae.g__Streptomyces.s__scabrisporus.1" 0 0.01 0.03 0.05 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Oxalobacteraceae.g__Cupriavidus.s__.5" 0 0 0 0.03 +"k__Bacteria.p__Actinobacteria.c__Rubrobacteria.o__Rubrobacterales.f__Rubrobacteraceae.g__Rubrobacter.s__.27" 0.02 0.04 0.24 0.13 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Pseudomonadales.f__Moraxellaceae.g__Acinetobacter.s__guillouiae" 0 0 0.06 0.04 +"k__Bacteria.p__Verrucomicrobia.c__.Spartobacteria..o__.Chthoniobacterales..f__.Chthoniobacteraceae..g__DA101.s__.54" 0.01 0.01 0.02 0.07 +"k__Bacteria.p__Bacteroidetes.c__.Saprospirae..o__.Saprospirales..f__Chitinophagaceae.g__Segetibacter.s__.21" 0 0 0.04 0.05 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Kaistobacter.s__.33" 0 0 0 0.05 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__.60" 0 0 0 0.01 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.84" 0 0.01 0.07 0.07 +"k__Bacteria.p__Nitrospirae.c__Nitrospira.o__Nitrospirales.f__Nitrospiraceae.g__JG37.AG.70.s__.3" 0 0.02 0.07 0.05 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Comamonadaceae.g__Comamonas.s__.2" 0 0.01 0.07 0.02 +"k__Bacteria.p__Bacteroidetes.c__Cytophagia.o__Cytophagales.f__Cytophagaceae.g__Dyadobacter.s__.4" 0 0.01 0.02 0.02 +"k__Bacteria.p__Proteobacteria.c__Deltaproteobacteria.o__Desulfuromonadales.f__Geobacteraceae.g__Geobacter.s__.20" 0 0.01 0.1 0.02 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Oxalobacteraceae.g__Janthinobacterium.s__.9" 0 0 0 0.02 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Xanthomonadales.f__Sinobacteraceae.g__Steroidobacter.s__.11" 0.01 0 0.22 0.07 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Pseudonocardiaceae.g__Pseudonocardia.s__.15" 0.02 0.01 0.04 0.09 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__.61" 0 0 0.06 0.03 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Sphingopyxis.s__" 0 0 0.09 0.07 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Actinosynnemataceae.g__Kibdelosporangium.s__.2" 0 0 0.04 0.02 +"k__Bacteria.p__Cyanobacteria.c__Oscillatoriophycideae.o__Oscillatoriales.f__Phormidiaceae.g__Phormidium.s__.6" 0 0 0.07 0.05 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Oxalobacteraceae.g__Janthinobacterium.s__.10" 0 0.01 0.02 0.01 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Legionellales.f__Coxiellaceae.g__Aquicella.s__.13" 0 0 0.11 0.07 +"k__Bacteria.p__Verrucomicrobia.c__.Spartobacteria..o__.Chthoniobacterales..f__.Chthoniobacteraceae..g__DA101.s__.55" 0 0 0.01 0.05 +"k__Bacteria.p__Bacteroidetes.c__Flavobacteriia.o__Flavobacteriales.f__Flavobacteriaceae.g__Flavobacterium.s__.47" 0 0 0.08 0.03 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Pedomicrobium.s__.9" 0 0 0.1 0.06 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Devosia.s__.30" 0 0.02 0.06 0.03 +"k__Bacteria.p__Verrucomicrobia.c__.Spartobacteria..o__.Chthoniobacterales..f__.Chthoniobacteraceae..g__Candidatus.Xiphinematobacter.s__.5" 0 0.02 0.15 0.09 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.85" 0 0.02 0.49 0.05 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Sphingobium.s__.12" 0.01 0 0.1 0.08 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Oxalobacteraceae.g__Ralstonia.s__.4" 0 0.01 0.02 0.06 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Neisseriales.f__Neisseriaceae.g__Kingella.s__denitrificans" 0 0.01 0.06 0.03 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Mycobacteriaceae.g__Mycobacterium.s__.21" 0 0 0.06 0.08 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Rhodobiaceae.g__Afifella.s__.16" 0 0 0.06 0.02 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Burkholderiaceae.g__Burkholderia.s__.19" 0 0 0.03 0.02 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Pseudonocardiaceae.g__Pseudonocardia.s__.16" 0 0 0.06 0.03 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Oxalobacteraceae.g__Janthinobacterium.s__.11" 0 0 0.12 0.07 +"k__Bacteria.p__Bacteroidetes.c__Flavobacteriia.o__Flavobacteriales.f__.Weeksellaceae..g__Chryseobacterium.s__.10" 0 0 0.02 0.05 +"k__Bacteria.p__Verrucomicrobia.c__.Spartobacteria..o__.Chthoniobacterales..f__.Chthoniobacteraceae..g__DA101.s__.56" 0 0 0.03 0.07 +"k__Bacteria.p__Acidobacteria.c__Acidobacteriia.o__Acidobacteriales.f__Koribacteraceae.g__Candidatus.Koribacter.s__.28" 0 0 0.06 0.06 +"k__Bacteria.p__Acidobacteria.c__Acidobacteriia.o__Acidobacteriales.f__Koribacteraceae.g__Candidatus.Koribacter.s__.29" 0 0 0.07 0.14 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Rhodobiaceae.g__Afifella.s__.17" 0.12 0.11 0.39 0.02 +"k__Bacteria.p__Bacteroidetes.c__Sphingobacteriia.o__Sphingobacteriales.f__Sphingobacteriaceae.g__Pedobacter.s__.15" 0 0 0.02 0.06 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Pseudomonadales.f__Pseudomonadaceae.g__Pseudomonas.s__.15" 0 0.01 0.02 0.04 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Paenibacillaceae.g__Paenibacillus.s__.25" 0 0 0.03 0.08 +"k__Bacteria.p__Bacteroidetes.c__Flavobacteriia.o__Flavobacteriales.f__Flavobacteriaceae.g__Flavobacterium.s__.48" 0 0 0.01 0.02 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Novosphingobium.s__.13" 0 0 0.13 0.09 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.86" 0 0.01 0.05 0.04 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.117" 0 0 0.04 0.06 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rickettsiales.f__mitochondria.g__Carludovica.s__palmata" 0 0.01 0.04 0.06 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Micrococcaceae.g__Arthrobacter.s__nitroguajacolicus" 0 0.01 0.01 0.05 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Burkholderiaceae.g__Burkholderia.s__.20" 0.01 0.01 0.04 0.05 +"k__Bacteria.p__Bacteroidetes.c__Flavobacteriia.o__Flavobacteriales.f__Flavobacteriaceae.g__Flavobacterium.s__.49" 0 0 0.02 0.04 +"k__Bacteria.p__Bacteroidetes.c__Cytophagia.o__Cytophagales.f__Cytophagaceae.g__Adhaeribacter.s__.18" 0.01 0.01 0.2 0.02 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Sporolactobacillaceae.g__Pullulanibacillus.s__" 0 0 0.06 0.04 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Cellulomonadaceae.g__Cellulomonas.s__.2" 0 0 0.05 0.08 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Legionellales.f__Coxiellaceae.g__Aquicella.s__.14" 0 0 0.04 0.05 +"k__Bacteria.p__Bacteroidetes.c__.Saprospirae..o__.Saprospirales..f__Chitinophagaceae.g__Sediminibacterium.s__.3" 0 0 0.06 0.04 +"k__Bacteria.p__Firmicutes.c__Clostridia.o__Clostridiales.f__Clostridiaceae.g__Clostridium.s__.19" 0 0 0.18 0.04 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__.Exiguobacteraceae..g__Exiguobacterium.s__.1" 0 0 0.11 0.03 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__.62" 0 0 0.09 0.05 +"k__Bacteria.p__Bacteroidetes.c__Sphingobacteriia.o__Sphingobacteriales.f__Sphingobacteriaceae.g__Pedobacter.s__cryoconitis.1" 0 0 0.09 0.02 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__.63" 0 0 0.02 0.02 +"k__Bacteria.p__Bacteroidetes.c__Flavobacteriia.o__Flavobacteriales.f__Flavobacteriaceae.g__Flavobacterium.s__.50" 0 0 0.12 0.09 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Enterobacteriales.f__Enterobacteriaceae.g__Erwinia.s__.2" 0 0 0.11 0.03 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Sphingomonas.s__wittichii.13" 0 0 0.08 0.05 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Oxalobacteraceae.g__Herminiimonas.s__.2" 0 0 0.04 0.05 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Sphingomonas.s__wittichii.14" 0 0 0 0.08 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Sphingomonas.s__.28" 0 0 0.06 0.01 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Bradyrhizobiaceae.g__Balneimonas.s__.8" 0.04 0.04 0.18 0 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhodospirillales.f__Acetobacteraceae.g__Acidisoma.s__.1" 0 0 0.06 0.05 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Oxalobacteraceae.g__Herminiimonas.s__.3" 0 0 0.1 0.02 +"k__Bacteria.p__Bacteroidetes.c__.Saprospirae..o__.Saprospirales..f__Chitinophagaceae.g__Flavisolibacter.s__.38" 0.01 0.01 0.16 0.22 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Micromonosporaceae.g__Catellatospora.s__.5" 0 0 0.06 0.04 +"k__Bacteria.p__Firmicutes.c__Clostridia.o__Clostridiales.f__Lachnospiraceae.g__Coprococcus.s__.1" 0 0 0.04 0.06 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Mycobacteriaceae.g__Mycobacterium.s__.22" 0 0 0.02 0.05 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.118" 0 0 0.06 0.04 +"k__Bacteria.p__Bacteroidetes.c__Flavobacteriia.o__Flavobacteriales.f__Flavobacteriaceae.g__Flavobacterium.s__.51" 0 0 0.01 0.05 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Paenibacillaceae.g__Paenibacillus.s__chondroitinus.2" 0 0 0 0.02 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Bradyrhizobiaceae.g__Bradyrhizobium.s__.9" 0 0 0.02 0.19 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Nocardioidaceae.g__Nocardioides.s__.8" 0 0 0.1 0.07 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Microbacteriaceae.g__Microbacterium.s__.7" 0.02 0.02 0.04 0.09 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Micromonosporaceae.g__Dactylosporangium.s__.2" 0.05 0.04 0.2 0.1 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Oxalobacteraceae.g__Janthinobacterium.s__lividum.3" 0 0 0.01 0.06 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Thermoactinomycetaceae.g__Shimazuella.s__" 0 0 0.12 0.09 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Burkholderiaceae.g__Burkholderia.s__.21" 0 0 0.06 0.05 +"k__Bacteria.p__Acidobacteria.c__Acidobacteriia.o__Acidobacteriales.f__Koribacteraceae.g__Candidatus.Koribacter.s__.30" 0.01 0.03 0.2 0.11 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Xanthomonadales.f__Sinobacteraceae.g__Steroidobacter.s__.12" 0 0 0.05 0.05 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Mycobacteriaceae.g__Mycobacterium.s__.23" 0 0 0.02 0.01 +"k__Bacteria.p__Bacteroidetes.c__Cytophagia.o__Cytophagales.f__Cytophagaceae.g__Hymenobacter.s__.13" 0 0 0.01 0.04 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Mycobacteriaceae.g__Mycobacterium.s__celatum.4" 0 0 0.01 0.04 +"k__Bacteria.p__Bacteroidetes.c__Flavobacteriia.o__Flavobacteriales.f__Flavobacteriaceae.g__Flavobacterium.s__.52" 0 0 0.06 0.02 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Devosia.s__.31" 0 0 0.04 0.03 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Pseudonocardiaceae.g__Pseudonocardia.s__.17" 0 0 0.04 0.03 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Planococcaceae.g__Sporosarcina.s__.7" 0 0 0 0.04 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Xanthomonadales.f__Xanthomonadaceae.g__Dokdonella.s__.6" 0 0.01 0.13 0.02 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Paenibacillaceae.g__Paenibacillus.s__chondroitinus.3" 0 0 0 0.04 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Pseudonocardiaceae.g__Pseudonocardia.s__.18" 0 0 0.03 0.02 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Rhodobiaceae.g__Afifella.s__.18" 0 0 0.02 0.03 +"k__Bacteria.p__Firmicutes.c__Clostridia.o__Clostridiales.f__Clostridiaceae.g__Clostridium.s__.20" 0 0 0.03 0.04 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.119" 0.13 0.22 0.64 0.24 +"k__Bacteria.p__Acidobacteria.c__Acidobacteriia.o__Acidobacteriales.f__Koribacteraceae.g__Candidatus.Koribacter.s__.31" 0 0.01 0.07 0.09 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Planococcaceae.g__Planomicrobium.s__.7" 0 0 0.01 0.01 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Comamonadaceae.g__Paucibacter.s__.1" 0.21 0.32 0.75 0.02 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Microbacteriaceae.g__Salinibacterium.s__.6" 0 0 0 0.04 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Mycobacteriaceae.g__Mycobacterium.s__.24" 0 0 0.06 0.03 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Micrococcaceae.g__Arthrobacter.s__.5" 0 0.01 0 0.06 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Comamonadaceae.g__Limnohabitans.s__.4" 0.03 0.05 0.29 0.02 +"k__Bacteria.p__Bacteroidetes.c__Flavobacteriia.o__Flavobacteriales.f__Flavobacteriaceae.g__Flavobacterium.s__.53" 0 0.01 0.02 0.07 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Actinosynnemataceae.g__Saccharothrix.s__.2" 0 0 0.01 0.04 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Pseudomonadales.f__Pseudomonadaceae.g__Pseudomonas.s__.16" 0 0 0.02 0.08 +"k__Bacteria.p__Bacteroidetes.c__Cytophagia.o__Cytophagales.f__Cytophagaceae.g__Hymenobacter.s__.14" 0 0 0.06 0.03 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.87" 0.02 0.07 0.39 0.13 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Pseudomonadales.f__Pseudomonadaceae.g__Pseudomonas.s__.17" 0 0.03 0.17 0.05 +"k__Bacteria.p__Bacteroidetes.c__Flavobacteriia.o__Flavobacteriales.f__Flavobacteriaceae.g__Flavobacterium.s__.54" 0 0.02 0.03 0.06 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.88" 0.02 0.02 0.17 0.17 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.120" 0.01 0 0.03 0.01 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Devosia.s__.32" 0 0 0.04 0.02 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Pseudomonadales.f__Pseudomonadaceae.g__Pseudomonas.s__.18" 0.01 0.01 0.06 0.04 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.89" 0 0.01 0.1 0.03 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Streptomycetaceae.g__Streptomyces.s__axinellae" 0 0 0.05 0.05 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Comamonadaceae.g__Ramlibacter.s__.8" 0 0 0.02 0.03 +"k__Bacteria.p__Nitrospirae.c__Nitrospira.o__Nitrospirales.f__Nitrospiraceae.g__Nitrospira.s__.9" 0 0 0.02 0.01 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Paenibacillaceae.g__Paenibacillus.s__.26" 0 0 0.01 0.04 +"k__Bacteria.p__Proteobacteria.c__Deltaproteobacteria.o__Myxococcales.f__Myxococcaceae.g__Anaeromyxobacter.s__.4" 0 0 0.03 0.06 +"k__Bacteria.p__.Thermi..c__Deinococci.o__Deinococcales.f__Trueperaceae.g__Truepera.s__" 0 0 0.1 0.05 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Paenibacillaceae.g__Paenibacillus.s__.27" 0 0 0.02 0.03 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__.64" 0 0 0.18 0.04 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Paenibacillaceae.g__Paenibacillus.s__.28" 0 0 0.01 0.06 +"k__Bacteria.p__Firmicutes.c__Clostridia.o__Clostridiales.f__Lachnospiraceae.g__Coprococcus.s__.2" 0 0 0.06 0.07 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Microbacteriaceae.g__Agromyces.s__.8" 0 0 0.13 0.02 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Burkholderiaceae.g__Burkholderia.s__.22" 0 0 0.03 0.06 +"k__Bacteria.p__Bacteroidetes.c__Cytophagia.o__Cytophagales.f__Cytophagaceae.g__Sporocytophaga.s__.2" 0 0 0.01 0.04 +"k__Bacteria.p__Bacteroidetes.c__.Saprospirae..o__.Saprospirales..f__Chitinophagaceae.g__Segetibacter.s__.22" 0 0 0.2 0.06 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Nocardioidaceae.g__Aeromicrobium.s__.3" 0 0 0.06 0.04 +"k__Bacteria.p__Bacteroidetes.c__Flavobacteriia.o__Flavobacteriales.f__Flavobacteriaceae.g__Flavobacterium.s__.55" 0 0 0.02 0.06 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Planococcaceae.g__Solibacillus.s__.2" 0 0 0.09 0.07 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Bradyrhizobiaceae.g__Bradyrhizobium.s__.10" 0 0 0.01 0.01 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Legionellales.f__Coxiellaceae.g__Aquicella.s__.15" 0 0 0.04 0.06 +"k__Bacteria.p__Verrucomicrobia.c__.Spartobacteria..o__.Chthoniobacterales..f__.Chthoniobacteraceae..g__DA101.s__.57" 0 0 0 0.06 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Streptomycetaceae.g__Streptomyces.s__.36" 0 0 0.09 0.07 +"k__Bacteria.p__Bacteroidetes.c__.Saprospirae..o__.Saprospirales..f__Chitinophagaceae.g__Segetibacter.s__.23" 0 0 0.01 0.06 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__foraminis.2" 0 0 0.05 0.05 +"k__Bacteria.p__Firmicutes.c__Clostridia.o__Clostridiales.f__Clostridiaceae.g__SMB53.s__.2" 0 0 0.04 0.03 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Streptomycetaceae.g__Streptomyces.s__.37" 0 0 0.04 0.04 +"k__Bacteria.p__Cyanobacteria.c__Nostocophycideae.o__Nostocales.f__Nostocaceae.g__Tolypothrix.s__distorta" 0 0 0 0.05 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.90" 0 0 0.06 0.05 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Sphingomonas.s__changbaiensis" 0 0 0.03 0.03 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.121" 0 0 0.05 0.05 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Devosia.s__.33" 0 0 0.04 0.06 +"k__Bacteria.p__Nitrospirae.c__Nitrospira.o__Nitrospirales.f__Nitrospiraceae.g__Nitrospira.s__.10" 0 0 0 0.03 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Hyphomicrobium.s__.9" 0 0 0.03 0.06 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.122" 0 0 0.17 0.02 +"k__Bacteria.p__Proteobacteria.c__Deltaproteobacteria.o__Bdellovibrionales.f__Bdellovibrionaceae.g__Bdellovibrio.s__.21" 0 0 0.03 0.04 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.123" 0 0 0 0.07 +"k__Bacteria.p__Firmicutes.c__Clostridia.o__Clostridiales.f__Ruminococcaceae.g__Ethanoligenens.s__" 0 0 0.07 0.01 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Bradyrhizobiaceae.g__Balneimonas.s__.9" 0 0 0 0.05 +"k__Bacteria.p__Bacteroidetes.c__.Saprospirae..o__.Saprospirales..f__Chitinophagaceae.g__Flavisolibacter.s__.39" 0 0.01 0.06 0.05 +"k__Bacteria.p__Bacteroidetes.c__Cytophagia.o__Cytophagales.f__Cytophagaceae.g__Adhaeribacter.s__.19" 0 0 0.01 0.03 +"k__Bacteria.p__Firmicutes.c__Clostridia.o__Clostridiales.f__Clostridiaceae.g__Clostridium.s__.21" 0 0.01 0.08 0.04 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Sphingomonas.s__.29" 0 0 0.08 0.05 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Streptomycetaceae.g__Streptomyces.s__.38" 0 0 0.03 0.02 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Caulobacterales.f__Caulobacteraceae.g__Phenylobacterium.s__.10" 0 0 0.05 0.09 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Rhizobiaceae.g__Agrobacterium.s__.15" 0 0 0.02 0.02 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.124" 0 0 0.17 0.05 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Comamonadaceae.g__Pelomonas.s__" 0 0 0.01 0.04 +"k__Bacteria.p__Bacteroidetes.c__Cytophagia.o__Cytophagales.f__Cytophagaceae.g__Adhaeribacter.s__.20" 0 0 0 0.04 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Kineosporiaceae.g__Kineococcus.s__" 0 0 0.02 0.05 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Mycobacteriaceae.g__Mycobacterium.s__.25" 0 0 0.02 0.03 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Caulobacterales.f__Caulobacteraceae.g__Phenylobacterium.s__.11" 0 0 0.06 0.05 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Pseudomonadales.f__Pseudomonadaceae.g__Pseudomonas.s__.19" 0.17 0.33 0.6 0.09 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Comamonadaceae.g__Comamonas.s__.3" 0 0.02 0.05 0.04 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Nitrosomonadales.f__Nitrosomonadaceae.g__Nitrosovibrio.s__tenuis.1" 0 0 0.02 0.02 +"k__Bacteria.p__Proteobacteria.c__Deltaproteobacteria.o__Syntrophobacterales.f__Syntrophaceae.g__Syntrophus.s__.1" 0 0.01 0.04 0.05 +"k__Bacteria.p__Bacteroidetes.c__Cytophagia.o__Cytophagales.f__Cytophagaceae.g__Hymenobacter.s__.15" 0 0.02 0.27 0.05 +"k__Bacteria.p__Bacteroidetes.c__Flavobacteriia.o__Flavobacteriales.f__Flavobacteriaceae.g__Flavobacterium.s__succinicans.4" 0 0 0.03 0.04 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Pseudomonadales.f__Pseudomonadaceae.g__Pseudomonas.s__.20" 0 0 0.02 0.02 +"k__Bacteria.p__Bacteroidetes.c__Flavobacteriia.o__Flavobacteriales.f__Flavobacteriaceae.g__Flavobacterium.s__.56" 0 0.02 0.02 0.04 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Legionellales.f__Coxiellaceae.g__Aquicella.s__.16" 0 0.01 0.03 0.07 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Kaistobacter.s__.34" 0 0.01 0.1 0.01 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.91" 0 0 0.05 0.03 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Alicyclobacillaceae.g__Alicyclobacillus.s__pomorum" 0 0 0 0.08 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Comamonadaceae.g__Limnohabitans.s__.5" 0 0 0.01 0.03 +"k__Bacteria.p__Firmicutes.c__Clostridia.o__Clostridiales.f__Clostridiaceae.g__Clostridium.s__hiranonis" 0 0.01 0.09 0.08 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Sphingomonas.s__.30" 0 0 0 0.05 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.125" 0 0 0.04 0.07 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Microbacteriaceae.g__Microbacterium.s__chocolatum" 0 0 0.09 0.09 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Bradyrhizobiaceae.g__Bradyrhizobium.s__.11" 0.01 0 0.01 0.05 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Rhodobiaceae.g__Afifella.s__.19" 0 0 0.01 0.02 +"k__Bacteria.p__Verrucomicrobia.c__.Spartobacteria..o__.Chthoniobacterales..f__.Chthoniobacteraceae..g__DA101.s__.58" 0 0 0 0.07 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Micromonosporaceae.g__Actinoplanes.s__durhamensis" 0 0 0.01 0.01 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Rhodocyclales.f__Rhodocyclaceae.g__Dechloromonas.s__.5" 0 0 0.01 0.1 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Legionellales.f__Coxiellaceae.g__Aquicella.s__.17" 0 0 0 0.04 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Pseudomonadales.f__Pseudomonadaceae.g__Pseudomonas.s__.21" 0 0 0.01 0.05 +"k__Bacteria.p__Actinobacteria.c__Thermoleophilia.o__Solirubrobacterales.f__Solirubrobacteraceae.g__Solirubrobacter.s__" 0 0 0 0.05 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Pseudonocardiaceae.g__Pseudonocardia.s__.19" 0 0 0.01 0.06 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Microbacteriaceae.g__Cryocola.s__.1" 0 0.01 0.06 0.04 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Streptomycetaceae.g__Streptacidiphilus.s__.2" 0 0.01 0.09 0.06 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Propionibacteriaceae.g__Propionibacterium.s__acnes.1" 0 0 0.01 0.05 +"k__Bacteria.p__Proteobacteria.c__Deltaproteobacteria.o__Myxococcales.f__Nannocystaceae.g__Nannocystis.s__" 0 0 0.01 0.03 +"k__Bacteria.p__Verrucomicrobia.c__.Spartobacteria..o__.Chthoniobacterales..f__.Chthoniobacteraceae..g__Candidatus.Xiphinematobacter.s__.6" 0 0 0.11 0.11 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Kaistobacter.s__.35" 0 0 0.01 0.06 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Micromonosporaceae.g__Actinoplanes.s__brasiliensis" 0.01 0.06 0.2 0.04 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Mycobacteriaceae.g__Mycobacterium.s__arupense" 0 0 0 0 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.126" 0 0 0 0.02 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.92" 0 0 0.01 0.08 +"k__Bacteria.p__Proteobacteria.c__Deltaproteobacteria.o__Desulfuromonadales.f__Geobacteraceae.g__Geobacter.s__.21" 0 0.01 0.02 0.09 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__.65" 0 0 0.04 0.04 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Streptomycetaceae.g__Streptomyces.s__indigoferus" 0 0 0 0.01 +"k__Bacteria.p__Acidobacteria.c__Acidobacteriia.o__Acidobacteriales.f__Koribacteraceae.g__Candidatus.Koribacter.s__.32" 0 0.01 0.08 0.06 +"k__Bacteria.p__Bacteroidetes.c__Cytophagia.o__Cytophagales.f__Cytophagaceae.g__Spirosoma.s__.4" 0 0.01 0 0.04 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Devosia.s__.34" 0 0.01 0.12 0.06 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__.66" 0 0 0.08 0.06 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Xanthomonadales.f__Sinobacteraceae.g__Steroidobacter.s__.13" 0 0 0.06 0.04 +"k__Bacteria.p__Bacteroidetes.c__Flavobacteriia.o__Flavobacteriales.f__Flavobacteriaceae.g__Flavobacterium.s__.57" 0 0 0.03 0.05 +"k__Bacteria.p__Bacteroidetes.c__Cytophagia.o__Cytophagales.f__Cytophagaceae.g__Hymenobacter.s__.16" 0 0 0.02 0.06 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__.67" 0 0 0.01 0.05 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Methylobacteriaceae.g__Methylobacterium.s__.7" 0 0.01 0 0.05 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__.68" 0 0 0.17 0.05 +"k__Bacteria.p__Acidobacteria.c__Acidobacteriia.o__Acidobacteriales.f__Koribacteraceae.g__Candidatus.Koribacter.s__.33" 0 0.02 0.13 0.05 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Alteromonadales.f__Alteromonadaceae.g__Cellvibrio.s__.4" 0 0.02 0.23 0.04 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Phyllobacteriaceae.g__Phyllobacterium.s__.1" 0 0 0.01 0.06 +"k__Bacteria.p__Acidobacteria.c__Acidobacteriia.o__Acidobacteriales.f__Acidobacteriaceae.g__Terriglobus.s__.3" 0 0 0.16 0.07 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__.69" 0 0 0.01 0.06 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhodospirillales.f__Acetobacteraceae.g__Acidocella.s__.2" 0 0 0.07 0.06 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Streptomycetaceae.g__Streptomyces.s__.39" 0 0 0.06 0.08 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Bradyrhizobiaceae.g__Balneimonas.s__.10" 0 0 0.01 0.06 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Legionellales.f__Legionellaceae.g__Legionella.s__.8" 0 0.01 0.04 0.04 +"k__Bacteria.p__Nitrospirae.c__Nitrospira.o__Nitrospirales.f__Nitrospiraceae.g__Nitrospira.s__.11" 0 0 0.04 0.08 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.93" 0.01 0.03 0.18 0.07 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Streptomycetaceae.g__Streptomyces.s__.40" 0 0.01 0.03 0.04 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Streptomycetaceae.g__Streptomyces.s__.41" 0 0 0.08 0.07 +"k__Bacteria.p__Nitrospirae.c__Nitrospira.o__Nitrospirales.f__Nitrospiraceae.g__Nitrospira.s__.12" 0 0 0.03 0.04 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Staphylococcaceae.g__Staphylococcus.s__" 0 0 0.09 0.04 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__.70" 0 0 0.04 0.06 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Phyllobacteriaceae.g__Phyllobacterium.s__.2" 0 0 0.01 0.03 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Methylobacteriaceae.g__Methylobacterium.s__organophilum" 0 0 0.04 0.06 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.127" 0 0 0.03 0.03 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Sphingobium.s__.13" 0 0 0.02 0.03 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Devosia.s__.35" 0 0.03 0.16 0.05 +"k__Bacteria.p__Bacteroidetes.c__.Saprospirae..o__.Saprospirales..f__Chitinophagaceae.g__Sediminibacterium.s__.4" 0 0 0.01 0.12 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.128" 0 0 0.02 0.05 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Rhizobiaceae.g__Rhizobium.s__.5" 0 0.01 0.06 0.06 +"k__Bacteria.p__Bacteroidetes.c__Flavobacteriia.o__Flavobacteriales.f__Flavobacteriaceae.g__Flavobacterium.s__.58" 0 0 0 0.04 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Mycobacteriaceae.g__Mycobacterium.s__.26" 0 0 0 0.03 +"k__Bacteria.p__Bacteroidetes.c__Cytophagia.o__Cytophagales.f__Cytophagaceae.g__Spirosoma.s__.5" 0 0 0.02 0.05 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Burkholderiaceae.g__Burkholderia.s__.23" 0.04 0.04 0.18 0.1 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Rhodobiaceae.g__Afifella.s__.20" 0 0 0.03 0.03 +"k__Bacteria.p__Verrucomicrobia.c__.Spartobacteria..o__.Chthoniobacterales..f__.Chthoniobacteraceae..g__DA101.s__.59" 0 0 0 0.06 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.129" 0 0 0.06 0.07 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Paenibacillaceae.g__Paenibacillus.s__.29" 0 0 0 0.05 +"k__Bacteria.p__Acidobacteria.c__Acidobacteriia.o__Acidobacteriales.f__Koribacteraceae.g__Candidatus.Koribacter.s__.34" 0 0 0.02 0.04 +"k__Bacteria.p__Bacteroidetes.c__.Saprospirae..o__.Saprospirales..f__Chitinophagaceae.g__Flavisolibacter.s__.40" 0 0 0.14 0.05 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Streptomycetaceae.g__Streptomyces.s__.42" 0 0 0.1 0.05 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Xanthomonadales.f__Xanthomonadaceae.g__Dokdonella.s__.7" 0 0.01 0.08 0.08 +"k__Bacteria.p__Bacteroidetes.c__.Saprospirae..o__.Saprospirales..f__Chitinophagaceae.g__Segetibacter.s__.24" 0 0 0 0.01 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Burkholderiaceae.g__Burkholderia.s__.24" 0 0 0 0.11 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Nocardioidaceae.g__Nocardioides.s__.9" 0 0 0.02 0.05 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.130" 0 0 0 0.07 +"k__Bacteria.p__Bacteroidetes.c__.Saprospirae..o__.Saprospirales..f__Chitinophagaceae.g__Flavisolibacter.s__.41" 0.04 0.05 0.37 0.38 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Rhizobiaceae.g__Rhizobium.s__.6" 0 0 0.01 0.02 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Xanthomonadales.f__Xanthomonadaceae.g__Luteibacter.s__rhizovicinus" 0 0.01 0.06 0.03 +"k__Bacteria.p__Bacteroidetes.c__Flavobacteriia.o__Flavobacteriales.f__Flavobacteriaceae.g__Flavobacterium.s__.59" 0 0 0.08 0.05 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__.71" 0 0 0.12 0.01 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Sphingomonas.s__.31" 0 0 0.01 0.01 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__flexus.3" 0 0 0 0.04 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Microbacteriaceae.g__Microbacterium.s__.8" 0 0 0.04 0.04 +"k__Bacteria.p__Bacteroidetes.c__Flavobacteriia.o__Flavobacteriales.f__Flavobacteriaceae.g__Flavobacterium.s__succinicans.5" 0 0.02 0.07 0.05 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Sphingomonas.s__.32" 0 0 0.02 0.09 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__elegans" 0 0 0.04 0.04 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.131" 0.85 0.86 0.82 0.55 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhodobacterales.f__Rhodobacteraceae.g__Rubellimicrobium.s__.6" 0 0 0.08 0.05 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__.72" 0 0 0.02 0.05 +"k__Bacteria.p__Proteobacteria.c__Deltaproteobacteria.o__Bdellovibrionales.f__Bdellovibrionaceae.g__Bdellovibrio.s__.22" 0 0 0.03 0.06 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Phyllobacteriaceae.g__Mesorhizobium.s__.9" 0 0 0.02 0.02 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Rhodocyclales.f__Rhodocyclaceae.g__Hydrogenophilus.s__" 0 0 0.03 0.05 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Micromonosporaceae.g__Actinoplanes.s__.4" 0.24 0.34 0.61 0.05 +"k__Bacteria.p__Verrucomicrobia.c__.Spartobacteria..o__.Chthoniobacterales..f__.Chthoniobacteraceae..g__DA101.s__.60" 0 0 0.01 0.03 +"k__Bacteria.p__Firmicutes.c__Clostridia.o__Clostridiales.f__Clostridiaceae.g__Clostridium.s__.22" 0 0.03 0.23 0.11 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Kaistobacter.s__.36" 0.02 0.03 0.16 0.04 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.132" 0 0 0.03 0.03 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Rhodobiaceae.g__Afifella.s__.21" 0 0 0.01 0.03 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Rhizobiaceae.g__Agrobacterium.s__.16" 0 0 0.03 0.04 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Pedomicrobium.s__.10" 0 0 0.04 0.04 +"k__Bacteria.p__Bacteroidetes.c__Flavobacteriia.o__Flavobacteriales.f__.Weeksellaceae..g__Chryseobacterium.s__.11" 0 0 0.09 0.06 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Rhodobiaceae.g__Afifella.s__.22" 0 0 0.07 0.05 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.133" 0 0.01 0.02 0.03 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Xanthomonadales.f__Xanthomonadaceae.g__Lysobacter.s__.5" 0 0 0.03 0.03 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__.73" 0 0 0 0 +"k__Bacteria.p__Proteobacteria.c__Deltaproteobacteria.o__Desulfuromonadales.f__Geobacteraceae.g__Geobacter.s__.22" 0 0 0.1 0.1 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Novosphingobium.s__.14" 0 0 0.06 0.07 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.94" 0 0 0.12 0.02 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhodobacterales.f__Rhodobacteraceae.g__Rhodobacter.s__.2" 0 0 0.06 0.02 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Sphingomonas.s__wittichii.15" 0 0 0.06 0.07 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Comamonadaceae.g__Rhodoferax.s__.3" 0 0 0.05 0.09 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Kaistobacter.s__.37" 0 0 0 0 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Xanthomonadales.f__Xanthomonadaceae.g__Luteimonas.s__.1" 0 0 0.03 0.06 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.134" 0 0 0.1 0.04 +"k__Bacteria.p__Bacteroidetes.c__Cytophagia.o__Cytophagales.f__Cytophagaceae.g__Hymenobacter.s__.17" 0 0 0.17 0.03 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Comamonadaceae.g__Methylibium.s__.12" 0 0 0.02 0.02 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Lactobacillales.f__Streptococcaceae.g__Lactococcus.s__.2" 0 0 0.03 0.05 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Caulobacterales.f__Caulobacteraceae.g__Phenylobacterium.s__.12" 0 0 0.05 0.04 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.95" 0 0.01 0.03 0.05 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.135" 0 0 0 0.06 +"k__Bacteria.p__Proteobacteria.c__Deltaproteobacteria.o__Myxococcales.f__Myxococcaceae.g__Anaeromyxobacter.s__.5" 0 0 0.08 0.07 +"k__Bacteria.p__Proteobacteria.c__Deltaproteobacteria.o__Myxococcales.f__Myxococcaceae.g__Myxococcus.s__.1" 0.04 0.1 0.39 0.06 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Bradyrhizobiaceae.g__Bosea.s__genosp..2" 0 0 0.02 0.01 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.96" 0 0 0.01 0.06 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Comamonadaceae.g__Comamonas.s__.4" 0 0 0.06 0.05 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Nocardioidaceae.g__Nocardioides.s__.10" 0 0 0.03 0.04 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Paenibacillaceae.g__Paenibacillus.s__.30" 0 0 0 0.07 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Kaistobacter.s__.38" 0 0 0.02 0.05 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Kaistobacter.s__.39" 0 0 0.05 0.07 +"k__Bacteria.p__Bacteroidetes.c__Flavobacteriia.o__Flavobacteriales.f__Flavobacteriaceae.g__Flavobacterium.s__.60" 0 0 0.03 0.03 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Bradyrhizobiaceae.g__Balneimonas.s__.11" 0.9 0.86 0.91 0.56 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Pseudomonadales.f__Moraxellaceae.g__Enhydrobacter.s__" 0 0.01 0.04 0.06 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Nocardioidaceae.g__Actinopolymorpha.s__" 0 0.01 0.03 0.03 +"k__Bacteria.p__Acidobacteria.c__Acidobacteriia.o__Acidobacteriales.f__Koribacteraceae.g__Candidatus.Koribacter.s__.35" 0 0.03 0.06 0.05 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.97" 0.01 0.02 0.1 0.02 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.136" 0 0 0.06 0.02 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Alcaligenaceae.g__Achromobacter.s__.1" 0 0 0.03 0.04 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.137" 0 0.01 0 0.07 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Gallionellales.f__Gallionellaceae.g__Gallionella.s__.4" 0.11 0.22 0.57 0.1 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Devosia.s__.36" 0 0 0.02 0.08 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Caulobacterales.f__Caulobacteraceae.g__Mycoplana.s__.3" 0 0 0.02 0.06 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Devosia.s__.37" 0 0 0.02 0.09 +"k__Bacteria.p__Firmicutes.c__Clostridia.o__Clostridiales.f__Clostridiaceae.g__Clostridium.s__.23" 0 0 0.03 0.06 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Phyllobacteriaceae.g__Phyllobacterium.s__.3" 0.07 0.09 0.43 0.07 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Rhodobiaceae.g__Afifella.s__.23" 0 0 0.02 0.04 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Gallionellales.f__Gallionellaceae.g__Gallionella.s__.5" 0 0 0.05 0.07 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Alicyclobacillaceae.g__Alicyclobacillus.s__.11" 0 0 0.02 0.08 +"k__Bacteria.p__Verrucomicrobia.c__.Spartobacteria..o__.Chthoniobacterales..f__.Chthoniobacteraceae..g__DA101.s__.61" 0 0 0.01 0.02 +"k__Bacteria.p__Bacteroidetes.c__Cytophagia.o__Cytophagales.f__Cytophagaceae.g__Hymenobacter.s__.18" 0 0 0.17 0.04 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Streptomycetaceae.g__Streptomyces.s__roseochromogenus" 0 0 0.01 0.04 +"k__Bacteria.p__Bacteroidetes.c__Flavobacteriia.o__Flavobacteriales.f__Flavobacteriaceae.g__Flavobacterium.s__.61" 0 0 0 0.01 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Pseudomonadales.f__Pseudomonadaceae.g__Pseudomonas.s__.22" 0 0.01 0.02 0.03 +"k__Bacteria.p__Bacteroidetes.c__Flavobacteriia.o__Flavobacteriales.f__Flavobacteriaceae.g__Flavobacterium.s__.62" 0 0.01 0.03 0.08 +"k__Bacteria.p__Bacteroidetes.c__.Saprospirae..o__.Saprospirales..f__Chitinophagaceae.g__Flavisolibacter.s__.42" 0 0.02 0.08 0.03 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Kaistobacter.s__.40" 0 0 0 0.05 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Caulobacterales.f__Caulobacteraceae.g__Mycoplana.s__.4" 0 0.01 0.01 0.03 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__.74" 0 0 0.01 0.03 +"k__Bacteria.p__Bacteroidetes.c__Cytophagia.o__Cytophagales.f__Cytophagaceae.g__Spirosoma.s__.6" 0 0.01 0.18 0.03 +"k__Bacteria.p__Bacteroidetes.c__Bacteroidia.o__Bacteroidales.f__Porphyromonadaceae.g__Dysgonomonas.s__" 0 0.01 0.04 0.09 +"k__Bacteria.p__Bacteroidetes.c__Cytophagia.o__Cytophagales.f__Cytophagaceae.g__Adhaeribacter.s__.21" 0 0 0.02 0.01 +"k__Bacteria.p__Actinobacteria.c__Rubrobacteria.o__Rubrobacterales.f__Rubrobacteraceae.g__Rubrobacter.s__.28" 0 0.01 0.45 0.09 +"k__Bacteria.p__Bacteroidetes.c__Flavobacteriia.o__Flavobacteriales.f__.Weeksellaceae..g__Chryseobacterium.s__.12" 0 0 0.02 0.02 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhodospirillales.f__Acetobacteraceae.g__Roseococcus.s__.1" 0 0.02 0.03 0.03 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Hyphomicrobium.s__.10" 0 0.01 0 0.05 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhodobacterales.f__Rhodobacteraceae.g__Rubellimicrobium.s__.7" 0 0 0 0.05 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Streptomycetaceae.g__Streptomyces.s__.43" 0 0 0 0.04 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Streptosporangiaceae.g__Nonomuraea.s__.2" 0 0 0.03 0.05 +"k__Bacteria.p__Acidobacteria.c__Holophagae.o__Holophagales.f__Holophagaceae.g__Geothrix.s__.3" 0 0 0.01 0.05 +"k__Bacteria.p__Verrucomicrobia.c__Opitutae.o__Opitutales.f__Opitutaceae.g__Opitutus.s__.9" 0 0.01 0.01 0.02 +"k__Bacteria.p__Cyanobacteria.c__Nostocophycideae.o__Nostocales.f__Nostocaceae.g__Anabaena.s__cylindrica" 0 0 0.01 0.06 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Caulobacterales.f__Caulobacteraceae.g__Phenylobacterium.s__.13" 0 0.01 0.08 0.06 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Comamonadaceae.g__Acidovorax.s__delafieldii" 0 0 0.06 0.05 +"k__Bacteria.p__Bacteroidetes.c__Cytophagia.o__Cytophagales.f__Cytophagaceae.g__Adhaeribacter.s__.22" 0 0 0.02 0.07 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.138" 0 0 0.02 0.07 +"k__Bacteria.p__Bacteroidetes.c__.Saprospirae..o__.Saprospirales..f__Chitinophagaceae.g__Flavisolibacter.s__.43" 0 0 0 0.04 +"k__Bacteria.p__Bacteroidetes.c__Bacteroidia.o__Bacteroidales.f__Porphyromonadaceae.g__Porphyromonas.s__.1" 0 0 0.01 0.03 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__.75" 0 0 0.02 0.06 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__.76" 0 0 0.13 0.08 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Devosia.s__.38" 0 0 0.01 0.06 +"k__Bacteria.p__Proteobacteria.c__Deltaproteobacteria.o__Desulfuromonadales.f__Geobacteraceae.g__Geobacter.s__.23" 0 0 0.05 0.07 +"k__Bacteria.p__Bacteroidetes.c__.Saprospirae..o__.Saprospirales..f__Chitinophagaceae.g__Flavisolibacter.s__.44" 0.01 0.03 0.16 0.08 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Bradyrhizobiaceae.g__Bradyrhizobium.s__.12" 0 0 0.02 0.05 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.139" 0 0 0.05 0.03 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Comamonadaceae.g__Methylibium.s__.13" 0 0 0 0.07 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhodobacterales.f__Rhodobacteraceae.g__Rubellimicrobium.s__.8" 0 0 0.02 0.04 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Xanthomonadales.f__Sinobacteraceae.g__Steroidobacter.s__.14" 0 0 0 0.04 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Alteromonadales.f__Alteromonadaceae.g__Marinobacter.s__" 0 0.01 0.06 0.06 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Xanthomonadales.f__Xanthomonadaceae.g__Lysobacter.s__.6" 0 0.01 0.06 0.03 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Burkholderiaceae.g__Salinispora.s__.2" 0 0 0 0 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Vibrionales.f__Pseudoalteromonadaceae.g__Pseudoalteromonas.s__" 0 0 0.02 0.06 +"k__Bacteria.p__Bacteroidetes.c__.Saprospirae..o__.Saprospirales..f__Chitinophagaceae.g__Chitinophaga.s__.3" 0 0 0 0.04 +"k__Bacteria.p__Actinobacteria.c__Rubrobacteria.o__Rubrobacterales.f__Rubrobacteraceae.g__Rubrobacter.s__.29" 0 0.02 0.24 0.04 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Burkholderiaceae.g__Burkholderia.s__.25" 0 0 0.03 0.1 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Kaistobacter.s__.41" 0 0.01 0.01 0.06 +"k__Bacteria.p__Nitrospirae.c__Nitrospira.o__Nitrospirales.f__Nitrospiraceae.g__JG37.AG.70.s__.4" 0 0 0.02 0.05 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.98" 0 0 0.05 0.06 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Oxalobacteraceae.g__Janthinobacterium.s__.12" 0 0.01 0.02 0.09 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Bradyrhizobiaceae.g__Balneimonas.s__.12" 0.01 0.03 0.13 0.17 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Devosia.s__.39" 0 0 0.02 0.05 +"k__Bacteria.p__Bacteroidetes.c__Cytophagia.o__Cytophagales.f__Cytophagaceae.g__Hymenobacter.s__.19" 0 0 0.08 0.04 +"k__Bacteria.p__Verrucomicrobia.c__.Spartobacteria..o__.Chthoniobacterales..f__.Chthoniobacteraceae..g__DA101.s__.62" 0 0 0 0.03 +"k__Bacteria.p__Acidobacteria.c__Acidobacteriia.o__Acidobacteriales.f__Koribacteraceae.g__Candidatus.Koribacter.s__.36" 0 0 0.01 0.02 +"k__Bacteria.p__Verrucomicrobia.c__Verrucomicrobiae.o__Verrucomicrobiales.f__Verrucomicrobiaceae.g__Prosthecobacter.s__" 0 0.01 0.04 0.05 +"k__Bacteria.p__Verrucomicrobia.c__.Spartobacteria..o__.Chthoniobacterales..f__.Chthoniobacteraceae..g__Candidatus.Xiphinematobacter.s__.7" 0.01 0 0.05 0.18 +"k__Bacteria.p__Bacteroidetes.c__Flavobacteriia.o__Flavobacteriales.f__.Weeksellaceae..g__Cloacibacterium.s__" 0 0 0.01 0.08 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Geodermatophilaceae.g__Modestobacter.s__.1" 0 0 0.02 0.02 +"k__Bacteria.p__Verrucomicrobia.c__Verrucomicrobiae.o__Verrucomicrobiales.f__Verrucomicrobiaceae.g__Luteolibacter.s__.1" 0 0 0.01 0.04 +"k__Bacteria.p__Bacteroidetes.c__Cytophagia.o__Cytophagales.f__Cytophagaceae.g__Adhaeribacter.s__.23" 0 0 0 0.06 +"k__Bacteria.p__Acidobacteria.c__Acidobacteriia.o__Acidobacteriales.f__Koribacteraceae.g__Candidatus.Koribacter.s__.37" 0 0.02 0.16 0.06 +"k__Bacteria.p__Bacteroidetes.c__.Saprospirae..o__.Saprospirales..f__Chitinophagaceae.g__Flavisolibacter.s__.45" 0.05 0.1 0.55 0.05 +"k__Bacteria.p__Bacteroidetes.c__Flavobacteriia.o__Flavobacteriales.f__.Weeksellaceae..g__Chryseobacterium.s__.13" 0 0 0.02 0.04 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Alteromonadales.f__Alteromonadaceae.g__Cellvibrio.s__.5" 0 0.01 0.04 0.03 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Novosphingobium.s__.15" 0 0 0.02 0.05 +"k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.99" 0 0.01 0.09 0.12 +"k__Bacteria.p__Proteobacteria.c__Deltaproteobacteria.o__Bdellovibrionales.f__Bdellovibrionaceae.g__Bdellovibrio.s__.23" 0 0.05 0.09 0.06 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__.77" 0 0 0.02 0.03 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Thermomonosporaceae.g__Actinomadura.s__vinacea" 0 0 0.18 0.05 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Pseudonocardiaceae.g__Pseudonocardia.s__.20" 0 0 0.03 0.09 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Thermoactinomycetaceae.g__Shimazuella.s__.1" 0 0 0.01 0.01 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Hyphomicrobium.s__.11" 0 0 0 0.05 +"k__Bacteria.p__Bacteroidetes.c__Cytophagia.o__Cytophagales.f__Cytophagaceae.g__Adhaeribacter.s__.24" 0 0 0.02 0.03 +"k__Bacteria.p__Firmicutes.c__Clostridia.o__Clostridiales.f__Veillonellaceae.g__Pelosinus.s__.5" 0 0 0.06 0.04 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Micromonosporaceae.g__Actinoplanes.s__.5" 0 0 0.01 0.06 +"k__Bacteria.p__Actinobacteria.c__Rubrobacteria.o__Rubrobacterales.f__Rubrobacteraceae.g__Rubrobacter.s__.30" 0.02 0.05 0.21 0.11 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__.78" 0 0 0.03 0.07 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Devosia.s__.40" 0 0 0.04 0.03 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Sphingomonas.s__.33" 0 0 0.04 0.04 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Nocardioidaceae.g__Nocardioides.s__.11" 0 0 0.01 0.03 +"k__Bacteria.p__Acidobacteria.c__Acidobacteriia.o__Acidobacteriales.f__Acidobacteriaceae.g__Edaphobacter.s__.1" 0.08 0.18 0.39 0.1 +"k__Bacteria.p__Nitrospirae.c__Nitrospira.o__Nitrospirales.f__Nitrospiraceae.g__Nitrospira.s__.13" 0 0 0.08 0.04 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Corynebacteriaceae.g__Corynebacterium.s__.1" 0 0 0.02 0.05 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.140" 0 0 0 0.03 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Methylobacteriaceae.g__Methylobacterium.s__.8" 0 0 0.03 0.06 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Nocardiaceae.g__Nocardia.s__.3" 0 0 0.02 0.09 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Mycobacteriaceae.g__Mycobacterium.s__.27" 0 0.01 0.1 0.04 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Xanthomonadales.f__Xanthomonadaceae.g__Dokdonella.s__.8" 0 0.02 0.02 0.07 +"k__Bacteria.p__Bacteroidetes.c__Cytophagia.o__Cytophagales.f__Cytophagaceae.g__Hymenobacter.s__.20" 0 0 0.03 0.03 +"k__Bacteria.p__Bacteroidetes.c__Flavobacteriia.o__Flavobacteriales.f__Flavobacteriaceae.g__Flavobacterium.s__.63" 0 0 0 0.03 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Phyllobacteriaceae.g__Phyllobacterium.s__.4" 0 0.01 0.14 0.06 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.141" 0 0 0 0.05 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Bradyrhizobiaceae.g__Afipia.s__" 0 0 0.01 0.05 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Planococcaceae.g__Planomicrobium.s__.8" 0 0 0.03 0.06 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Streptomycetaceae.g__Streptomyces.s__mirabilis.1" 0 0 0 0.05 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__.79" 0 0 0.01 0.03 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Xanthomonadales.f__Xanthomonadaceae.g__Lysobacter.s__.7" 0 0 0.02 0 +"k__Bacteria.p__Bacteroidetes.c__.Saprospirae..o__.Saprospirales..f__Chitinophagaceae.g__Flavisolibacter.s__.46" 0 0.01 0.09 0.05 +"k__Bacteria.p__Proteobacteria.c__Deltaproteobacteria.o__Bdellovibrionales.f__Bdellovibrionaceae.g__Bdellovibrio.s__.24" 0 0 0.02 0.05 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__.80" 0 0.01 0.04 0.04 +"k__Bacteria.p__Proteobacteria.c__Deltaproteobacteria.o__Desulfuromonadales.f__Geobacteraceae.g__Geobacter.s__.24" 0 0 0.03 0.04 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Comamonadaceae.g__Rhodoferax.s__.4" 0 0 0.02 0.04 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Xanthomonadales.f__Xanthomonadaceae.g__Dokdonella.s__.9" 0 0 0.09 0.01 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Lactobacillales.f__Streptococcaceae.g__Streptococcus.s__.9" 0 0 0.22 0.02 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Methylophilales.f__Methylophilaceae.g__Methylotenera.s__mobilis.2" 0 0 0.01 0.06 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Streptomycetaceae.g__Streptomyces.s__.44" 0 0 0.02 0.03 +"k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Xanthomonadales.f__Xanthomonadaceae.g__Luteimonas.s__.2" 0 0 0.02 0.04 +"k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.142" 0 0 0 0.04 +"k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Planococcaceae.g__Solibacillus.s__.3" 0 0 0.02 0.04 +"k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Comamonadaceae.g__Ramlibacter.s__.9" 0 0 0.03 0.01 +"k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Mycobacteriaceae.g__Mycobacterium.s__.28" 0 0 0 0.03 diff --git a/data_application/BMI/.DS_Store b/data_application/BMI/.DS_Store new file mode 100644 index 0000000000000000000000000000000000000000..3541a0352921f218957c2256c6ef3966ecfc240b GIT binary patch literal 14340 zcmeHN3v3)m8UBCUNp?4hy>^`V&dJ4BJ8qre*mtp$*h!q6?W>6!=b@Y(J89a>JvR0> z=e_Igo}I)P8AQsfEf3KaQm6!#C}|54U_gDM0PLP9)50TqE%_-AHs zeLnkA0~JMdN7{M+GqeAGdo$m63jo-cO9lY~03gxDQgsbQcLDfWS`b(}yB39VszJJZ zbWvUfNP{(*4u_LDE3v5e;)*h=V)hmMij(yM`)f~cw;s3wjzbt?U_op!l}^M{={WVK zsodat!1aLZ0oMbr2V4*QTOMG0F9m6}NZr`=fa?L*1C9sS?}MK%mWJ$fPNe*&gCcf> zXYK3=&jaQ8;ha)GtDrPwr*k5u8VV>(DHWz@Qw+4v_9)D$J!JQv6R9u<Vv#U7}nstRzpchctWHuo-Q%S;3#iS%TqU82G3 zJcniF6)RS*k|ae^)+)C}CeqUpD`w@)zF78FRyr25CgOH}IGs*8`B?mfu1!bP+Wxd* z#dJf~8h% z4g_XrWvQ+?*fV%$^1{WLx6HovGQT@O`$r6_MA?ZSq}(#@JvF}QSuDrOoaz@IE6e6R z_I%!Bva;GUuvs}crYF)yM8Bv-)hd%5Hb})|S#64(Gnz=Ja+8J`RjU)RR3ev(Sz2!@ z#X6f~mUiA^xl?93YxVPvQB}>E+HsBg=~G&mdXs4l8|i4q($j`{Ld%+zHiZJh0rF#O z*4H;QwQS$9dtdL>wUt$Bb&aB&B3B!hepc7ABhz})nm8FV6Pl6Kjq%Yb-PGeLZP|JdKic zE35C%Y7{5=Fk6~E%CJfIq{bvM@YZdLGJKA(pqlnnZS9I@Bo&KmDK#le+^nNh@r+K1 zTT>6&m0jJ6XN+E-NxBuY8e6HFt;w_B6Oz>LO1HDQhhnC6G@}{ws|rifN!HSvOlnD~ zDb!;7NoBjG7aE}x_Q5eY2}ziSyWu{#A3gz(!587H@HG4Yehfc_=iqtx1^fnn3%`Tk z!^`kj_#6BkC9K98T!#(Vg4?kj0~o|TcmR8`5BqTlkK-_o;0cW4IO=!@o~aSq>x zZ^!rI-FPp)4kui@9l(#rD49u(z#j89T-c^I|d>ax+LFj_xQscd;& zG5W$90nBx^>o+&Gv<7$W4LJ|C=rJxpS|PkRsswB}obqttIKE2o_114xe0g*iqke<{ zsGXM>iqutCy>*@q4gUIimElO@#VyVCii!kvnHRSxK+XZ;!8`;-ijOQ0i1RY`wI?pzGuXadD`x}!7p#`p zT9@&vWUTm5&a|?$vN0F|lW(skv{TN69Bs1g5TPwNM?Vf1C~v_8^)P8;W_>0}QcqBg z&bQ_vYKhTSZSe9qAAL=Q0jzs}y4qqMcAX^YRm5N)>X7?FmylK;Q&CCioq&R*q=qR|G;7{7HL z>nkO#+4164=H_}q;oLRO+(Y~bBMv1&;zuRdkC%#8P)kRQNwSX8{j=i*JNOuIl#WF@ zjPraO<>`o1q+R@}Xq+|9TC${rl$^i3r^rrSV8@P7OhGAWUlw~6`#Wg$*R%g&k^Oq- z{!Mpwr0J_>%09 zS=C$b-Bij-B7MfuYPcq{xxp(hV9uP#GPR_s!Rsxg(L`w(7nfVS+Zd(gtXkA;m)jYQ z<>Z>zcz4L1jOPl{Evk0Q-HhDk$+xK7C-3LX+TrwkO`%?|w}{+xwyhHRzL{24pwdY5 z)R=p~QMYW-rWN+X0Gy(qT7!!=_rSey86GCt=Ckk>l5M^N&%pQKS$KhDn_t5pi8cQj z{sOPyDy+o~SV!FX29j*rNVMs~ZrqFeNVK^H58+`vf)Sf7pTV=3#tdfBB&PfhyoB!} zru;#C5Ff?I@zeMj{1QHe-@tF;xA6P;Bm5b?m=qk&d{~t8F}_H-Lb&E7n%kFxt8d`V z2g9!mTo+0+Tt##qW6{$qgwb`?m<31_qR2+sCnT6+VJ44pb(K)~m^9<_`x==tqY7!p z*X+AVB0#HUe5|e8e6m{3^+hJmw6)7Vbp=-vS+S#2CMAYzjjY(!O|2`rq{xar`>7S! znIuYU+g-)gx0-{t@FAN#y9`TsuwpB-2c literal 0 HcmV?d00001 diff --git a/data_application/BMI/BMI_Lin_2014.RData b/data_application/BMI/BMI_Lin_2014.RData new file mode 100644 index 0000000000000000000000000000000000000000..a3f6404e5b9ee7e8b4103df97004e28e1aadeb6f GIT binary patch literal 21058 zcmV*CKyAMtiwFP!000001MQs&Jk;y=$L-q;W*>}YW-KkrzJ?m16iJavT5L)7HQK09 zDMgCPk`nC+?bIAgls2?#kwgovitPS#?`^)#H9vpa?(N=Nua|tkU!3nY@8@&Q^PJ~A z)6HjTiOmw@;o;%q;TPcN;p1m*3h=T1|Id-O9=1azyc|0TDdEpqw@!jp>CHf4Dro%PQ z$Bt(h$V!l>JDPfAu0mhqpSdT)C8C)U+(G_ks^Yx4qptTik-7^JZ)G+&w`I!|6@ID>=#?*jm9Qv?p}#y?a#^|%V@yY_=aKQOzweGYGWs%sVPq>h>blnxhOVIR;TXY1 z3=>;*_3gnt41?n~wilW;8M=nkRv$=2Gsd2JZKHBCl3~_-Z*TWrRffU1hVXu;Fk3I-jARv_IK(UND0}ZCqfwUY}ujm1!Aqc?&~V^|!||mob)acKV&N zZia!{a3xe2KSO`le7|ai_YD2ap5s@Pg&BHFYI^iOHZTmMuCV@HW$4^x-K|kQLw|(U ziFxmO8HP)B6X%zlV2s)N$IlJ+oN_SZJI>G=SL#$ye1>7T?vj@HjtPu02NDRIYkC;E zRnx0=ns+ir7u?UtQb}Uy>8=t|dZ^COTUYYFPG6j%HJ!+MA<_(k0~3X8uI*&#Hs@z= zklxGCuBPrhIHsC0zWc0#m3%!zS9|w|+}BDBt$mG`{;OIaHIuydF* ziz5~*G#gOl37a#)rUK}jcFm2EtOt6mq>M-7NuZB8{E(5J1&Wj0UyrkW4b(FAw}mIM zKx;bwJnRKO(2cGNr;ODEMJJQ6rPpQw9V4@SJJ}c%jXEMXo;eKk2>M#}aa5pV`_fcO zb_2aNYFEnrN>DhYPB+`J3=~n$jyFzZ0nJ5>mkjTKUMbRIcCQu`g#xGeI`x8rzZg%{ z-aeq^Xrk0=%7LDG;W*LC3+Uqd*XAsp0E(u!H$C6S3-pz@FAEw~HngmvX;vT1sGaV*_Vt3cHcb=V~=;Ib&=~D{y&7}|hVhTZVzjf}WKv_`C z2)W#LRtuEE&E<}->Hx*dz4pPUHi6=@tkj%*MNpizH(|JB4k#Wxc)su$qvbSGc?#yFnP`tLS zd2jo1*8Q2aYsbw8#kHowJMZ{`5?;(~b;$#uUpyaq|8NP=+?OpV{(*6*$NG}?C$loC4VqKhz~ z17IK%R>o)joiBJ(coxCKh1GA$Bo?|@RA8~UlOAo85(`_)`t zTs8rk+QOcb>8pTlcdW|#xiQc*l0?rMo(0+(X}g&2IUx5jDP+&%(V(zE`u@sIGl9DN zX2>WrAD|`Z`!Bfq2B?P*jNebd1NFRSc`QZ&Xu~I*!k#<>ipSzzDymq|Yx4fhigB#> zaop;;e(+IHJXEzUa@bx_ToQiAdEX46z37@OKkX9GFQ1v(q80-5gD8Xw<8k%hiKP?Z6w&NL@ zKJdeMpdK^3zCE}N;eqazTX13q5orGNFPgo8FXlnfPv5Xi=FLyT1Fa}==dn|_xOkv{ zpk&wvu-XI3xWMF7d0)+gqV=Pt;;oDRb{@V~A80;G#rFE+xOkAOu5#F=jQwsr$glV3 z;}^XC%{(ZC6s<0_i}=Ur!`JdaQ_oqPpb_-lc_2<+imC}I1KFL^mhGA-jqo5*=={1( zrI(8bigJbD_Qt?3=7F~87L_md_IKlfx+ZPY0?}h2UzWUTr&8mfJkV;0wrM2sA@d-0 zV_oKjysTgPFhm}x;>)(%PoNFTgG^xLu=TNlgYrPP(U&d0;PIF1gX}Cfz1za;@*~O75KW)9Qnq!J6^@?>+vpJkT_bPIhpt{MYKkKs?YdF^PMP z48EENMWrPb8FPZZnumY8zw}S#;b--iXz63}`~|zeng>OJaie{_Lw}e)493HMJ%0Gb z!}sMu{?5`eoy)oi4+{B*LU@ln{AuFp{yfNQ*Tsg9OB;{}h1d%c<|?{Bng?c6hxWO( ziw*(rwWz>s#Wd!<1b2@Kc?+4(N}f?;pFCtfj(2%Kqt%hwbY%xgy!jNfF$m%aOM;m9 zZ5GQWdKoY~o-8j`_iJa~vU%9PND#;D?K_qd*;B&2al)Y{X>0`ZNmJY9tt)OYyGz4W zhLuM%-*3L|J6y$#`HWm6bBCJDd|;_ZQoE_ZtahJyXIifXv+8#KC^PLm<~^^nxwAti z0naVrBRva8GfSUZudMHy0la)BT8gdHnN<@{_L(`9FrPWVV{@Ci%y(*9yz=UsnYWng zBB)hv%+_Jf4a@z}%=%g7M(%nunKchi1m1XTz-)DSc4%*eA@eDpbi%OcM<7AONE(Z_ zFdvZK>#149G9QsQUb|pApZPA3d}x$IHnWa@Q{(GZ$C)qWWrGyLOqj1{E_`*RFOS)H ziiAz6h+;l!i9GERhGX6_ro}3+6lFGr1;;yHy~2Dr!evd;vA4i8v0lva(OTxiq*0fu znRl6WZELm^y9F@so%Po6t`K0}=&82J>Ty_nA~SXFI1n8$ohv`{`Wb~*DI)969g=E=;eoG6!b(f66pg?)`P)w`G##PgMr zemTs>^`18>a*r`98>BC`zt{&n3YG4M9=b4__m9@oDIqa0w;o5oT83iYT0ZAR_oJ!I zTHVfogJ)MWFU59xZ=ks`Ux=3F^Wjmc!SGvxU$v1MCPiUEfg(kwxw<437 zaA^wj2~U#19Ji6o>K2nxIIE}3=9T=CvfC|~HGzH!O}r@Py|EcmS@A2Fb()64RpuX< zx1#hy@7s)J_Euaatx^|cwv>3TNPAMvd<>cfo~<#=%OVC=nMY1Ai$3zNUaMNme0qDW zSgzbv<{g>v^C5->%o~B5X5Ar@m~GGRJ&!b=$9(KlgnxI-llh`!j&ZvM0R;6LFtw5y z%=fuXwfmB45q&@@GQpt2AJETB$~DZ3fO_ZR5!)^yL?3vsZO>cjJ`aR8&b&kM<^gnr z<^4;>!GIg>ttFSY2+;?ed1D;u;k!ZgL16x)oiZ)uT>2niPfMMy*^TIfP}Z^6YG?NY zns1aIZelK?4(ti$9k>;K=z$Cf$+Y(g%SfXW!{A zKgXpHLJf=On-_-y>iGwY6H&tveUMstcL{dMY(V?X4mI{V3;g9dWy*z@fnW7jdEKs= zh&~8hqaLyND2nKV{7&Y$X?t=2rB{?gopJ=Q3*TNn{(b>qF9c{OE;mK=LGlJZT++1| zNa=DjGse6D!Nx+F4SBvGxvzCYtky=L?ytQ2_TUu|^Oc@4cI-w(AB1aah}Bl35PcAw zVet}mvV%(>MDnXWb_*`!(g(5Yhl5v~v_tek{7l-IRcncZ>H{`EreO*u69h{u_1o)S zf%MJw6lULjK#fl`8#R?5goc-6d|s$<=>yiU?5fAEF(B}6#mTwx=LggWzWr($mD8sU zrVq@%w7bH>1bQ%eDnQ6ot~Y5;GvKUz&qy1k4(c!A`j)RuzC0BOv!~=;3bqDf z)5*j3_u~L_#m2ts{(dfhi6%RC=D3tq2oF-Wy2ZIy><}IZo8wQbH4Ad_KwPXfXSc+9 zE`Ledq-msomc)Sm5+=mbSMEqK5bwrDi9ofCu8X|@ z#7v*mlQ~QvNgHpZ8glzfxD=6#=*69YSBhzzV>u4tfm~y#6W~4*a7>@lAQOIs2W-r0 z*Fd%VKp?1>)avLXJkWyrI(Bqu0$%OOsR(^*!19eq7hT*6xabu+$C~FMJP^Dp4awcI zfSd8M=86=W%U>dOhHsa!Xa(#$!It-@FCaX~Y%mpzNc95jv4!SO3PeFBJn5trt34t{ zN-&Z`Cj&m~vC2`6OF$G?6WJ4%3`AOX;s<|EAf$9%jaIyb@PNgqS+^{00?K;%@{J8Q zfI2qx>Lz6az^$m*jU699sK10yfBQB~=oJ?a)PbUyKJojk$=sYBuYd-Fh$-236Mf_DhQgJiZ}ju1Kxi63z10|gnRI1t$oDO>&+ zjqpIWf9swyNe{4=C75PeOF$J0F_PYx0p9HJp^4Ka5FW6-Hi^PUoq%!ppw6xMz+g=f4P5W2GWxY@2pc)%Tde(9=uH>>@>KkTl`5kU8~?>Jgt z0AkM;p!3J92Q0>6-`LRtfC)yQw;>gN=HXtKkY7$15Cs$89N#?x@D?W)rEE(F$(LiL z&zK(MiXTwN941(2rz1Q_+FsaotC}8B3SDv^E&~klVzPzs1HkKS zvj0dr50sm2j{@fe0Di@cXMTGN0Xub}iRrkBfIEKR^*zI32oDlR=E;#vmw@lbbR6{dwaPffcmbqstFZfv>9w)|2<1Vn;4`CbC+x37IqZ=Hy ze+yz&8!n2vp5f95cKkq=fP%Wy>3}^z+Ys-b1=#B)@;v!h0OR-jT5ga^rRw}6^V zI!JDE3Jrcku&kTr;p(pY@+eK!!spEFSmU5N02ztVs|D&!AhoAxwWI_&{T z`*y2QH{JoRV9q?NTah4^6K*TPd<4SR(vM7@EDS<@?T)InCO~b;v|I6}5KuG4PoU+P z2oHSzbLa0^6b3wYbCcWdC4rE{<$Gtm>_AvdZ<<4JE{K+BHR>sx0-QWUC2oWyNWRio z@J5LU!n;zjrs*dE8|E~vb;D!8#%nzGz(s;+QBm_7aT4%POCDA#6beHA)##`<6cAk% zkym(18hEb=`<^>^0r(y{UCKNn4w&iA7Bj;~02!w|Z0s{-5XyUP8?Pw<{Ktkj`D*fl za8!?iwC{Nkk&axewDb*#J`yGH^h^TG8$&Thh$`?IuEmB;&tmq>j!!He)(Zmfx3_7} zMgt~gr@yiCZMHrzdo%+SUA9{TzJBSUP;o`TpboXzXKezs)@lXwEsH@Y-(ew9Z3Kwu zx=#$~OJ{c5I-Lt{Cm@SjWCn;d#O}yESjp_&opV(D<4(XRCYpBGNP(aL z?|t))^FiD`*64AaCJ!?<#xTJ0nl@|_~e10agYfjCL_tm<9PH<)TSrj8YNQljd zsLW*fJCn}yrmDvSdR>0*PKrCTdy8ROTKF+$m(ZEv*b;3JFyCw7*OAvE)H@gQ2(;FKZ5YIo!wmssvH24NM;OxgPL zAi9aJ-$GFZ(Z}BW(Zg#&Y|o~*8~3aMv8ltw{ZeE=WZkWX$%kGtdp0%J9A?e}oUDYk zte6GhTWU9Ck$$zL*EWdb<(n3zmGh{#MEJ)4ljCZHCMPHhE*@ zi9K6EZh?eAKB05SJm8{yHMc1chuq&PGiysAv7_O;@qn8bkDlMQjf)4|a-02_=hqP) z#1Fd(9Je_DxN4gv^4r3>co1Ly{D``7`G7o-Ho6$+Ez|sI#vj=6^w;trJob!Z^sRU< z9*F)cl!=Gx0P|qFo*}sycp`Dy$FWh&2P!A6j=8CSF%Kg5Fs4&CoI-dY+*#5ac;+DvYKQlMUtvoZI%>%R126G~j_X?W_X5HeFo~@1t2Gs}A zg;rQ?xtIZY5Q^(DO7LxEK3rtdnvru3aQ*_J&np+Pd0@WWxV3G~NE{arJg#~vI_-%= z<$-zqR87Pzy;`6%%Fj_*fB%*Fe9Sth@+z`tB@iwYO+92C4Rj@^JBPF@5gx=E=+aU1 zrXoD>zsJm_0M38R66iUP? zuz6rskG+WBZa)HqAKNPgjP3!R>>dMh%v!+bbYwrTN&$Wa+fxB8mcYMo;jP*;=a{{? zd9zm41_O_*#^DZUVEJL^ERsJOgW&B)Z&Z(ZF}ugAZ1B~qLU=$4UpJ3vZ~(NFm{jO; z9PpGbeEhz3DF`=ylu)jIgz&(Vu%Ig8l{ARmth=Xe5(AP)49*J{HL%*>XAAPDN&#<1 z%Df#Pp8|UJ_0}zF!5~tw#p!+Fa}X`V}`$W)C=F9337ZP3YEUVvvh?rQBi1wwd@7cE3sdPNgz;U-A{F&*9K42~hPq#_+0lulHO4e1kFnjf~_#l_%CyXYkjV3M! zUi+bKDnsQz1Z`TLKS zQ!Bqa5B=lm@5O_nI-y0nG~lPp=NpU%y5%eP_$a}jZocS`(g&L1<0$2QSAKeZ_^0?w zf3-d+q`2m98>RQ%^g-V2WA6crtnaQ5w6v|N4u@2~8xIOoH25|(&qR2j=1_d}seA+K z!;hK|#MTGugRP^&B+)?MNv89b%^8#jMbi9NrL~Sf-FzUL$kh!Oa+iFwKG2suIG$A> z12l?9mf+eA-^_#J$cP7RhZlmvm33oo)>;6~VzO4}u=GLofjTc|aS=g}OCQ+v1P0@Q zJwJ{<&ExdMD#@S5U;4Y^2U=~*ybgXBE*_}jF;kRzy}z42(4~sJK{D!JuMc!omZ7zP z(LW}BphnfHn@HMANup4&}+5FcFfD>eJAb&1+JZTQ)9~)2q z>R%d~K78r;^uH~B_`Ca;XcJZLX6`EZY98cYT`coA}ddPHy0{-89VyohT(vMp*r9!Mb$=8Imx1**mN&JVsGAftz@s{K>169 z@<5}sq(})3=i))mC%*on==+O)|r_rDu)mes{x0oW@m-*y=2$eMEr42lS>N>m7U6+GDFui<}J{! zXcUj6Ru5QDfPOl4bxoTd$S*1wb?&tv5>Hc4JT$KKYDD5`$ukG_E1F^l>|bKnBa_l~ zc<@2!b384ZH_xTaAOWO>JKXc8dxQMR6m^}ueO&XWDJ#{}FZFr=RlaFaiw1XpD|Ibd zM(yZGr2Z1wkX$*b?<`ln8Ts-T2lII<5FTV+T-TS3Ohfd6Hf&^5*m$Wgjvr*2oa|<- zdCjE{vK_`o#eJqA4-*(i)HA+$e46Y=sr9LqM0lW--#o2zfS-#8s`TOA^HdXoJ}%73 zBk$0F`XJry^|6XM4Cp2asluehA;%B>>s89%%ei*W?jtw4C7Vkwsn&e#It z9&XPCt9rQffv%k6VHa@>WLjJt*QZQjd)IUqMft@4tEz&F>c zR0t4iQZ27R>M!BYs=0xOPI2jj!j7a6GwFSU>I1R;R!+OJGRPPjO>hWbgZN7dl*;=1 zrafHo1AG3%VB-%`6Jm1>L-K)S|5C$q8LOT1-{zruV?I}ZtMt+{R+-IskUJw&`FyVe zDEM}@Cb(SZ(g*6?hm?>0r9e}{wl!2w1=+$ImtATZKWseiTm7Xk)rYV3muREvjzm0> z`^)MtePe#>fc_HwmtBC~t)qX{_`{EmrwJ*NdJW@i0EY>X9BER| z#e?{4Gw(+MBe{4G%X%4cZdS#hJV@)Dh#$3 zebyk8ZyEk@huV$#Cf9Xe$$Ngx1 z_*upue)josKWjYwv-h|DRsPbyEuZga=iz6WFG_VR5^>A zf&UtP_|@O~@6d<8YkXQEvAv7Bvgco;4?i0Z|5SfT_A>cy?t3wysTPb*@-{AUyQ%ZYqC_hc%amcI8#5#1}L-*(J~Gx$oK<$ z{Rg>j=QiHphg|)w^kt)EOL=(_9;gzNeJcF8d0_Xq(rQ&Nzm+%ua>ef#xO_-J>htwq z4+XzeD~vfu8Oi6PO)-6vxjY?6m3TLKY6Mb`Ozv1i7H!2cklQyq@q*!cuJH$Ue=C)8 z=Bkgf5Xf&hlUEb|xjr9lw`0$Wi+4aKsd&V;im5=~TPXEzOE|)V+<0Zw!Hkn!JW%FW zd3cr^1EHvM<+Eugkp5O&qhzZ!@eEMz`|V%je*!3HW7prT!GH1kK=dhxweF8T#+ARs z9)F+{w(Se#KM8WKPf4Z>3xo&x5q7wg-s3!U4~7gX)81)*L^j z^2vag^WSyv{c*r&*H90yFb7oRiOr0jD!^G(MX20!1j22!qQ;DDkQ}-D+J(HsfZKE( zUxVTUJdM2TwYfRqBF?IA zy27@DK(frKvn6GL_=V2cQ)O3xTrylxby^Harmfyg5Fi6KkxCoRr~s+!J!0=}odty> zo%_8-9041I7b)A+4rJl@zWr}40Yh37WUTubu!2m7tpRmFkutDJ&5s29maVZjR73!? zuCPSx<08Nk`IU1n2Ls;4S8ep-TY$T`j{oTnNg!SGtZfyZ0z^U*)#CVNAVl1^QMs!H z5;v}Hx#4vIh_OP-#!_;CzS7aCKeGVP?^QIbiE{xr##A2K9s=P7L+!%J1i-o^F1l_1 z5U@sOPU^gu04K0qzl-Vx_>BwW6et>r}9VB}2t9^CoJy8ori-J)j#X7(Cc z`?o6q8$jHubjblwBgZOhaDiLY}e@Wh6f~{sLU8S;WS{QDr!Tgp94aM zonKVSR>1BxaURyz4LHa31uGiwfLPAH)`K7C10Gh(^4ORFWvTR3-!3wUl*ZccxpD?b zz85xAu3Z5!jRL8Y>JcEpf8G0Ab1W*>}>{0b$xRWA7P`fELm-Eouw~ z>^;)+zF12@xoi6Sg|I$1u8|(qQ^o`SV%v$+Z$<#R#B#6NP9MM-jI(A=xd~#)d$x5& zdVzdmtg?UIGe8|WAlpKW1MHi33FpT=2V6?*16@+9oZnwgfDdvhp-)ClH%nW#YUo1Z?O{?Y3Lv3Zc0mJz>xy9rnR5_>)n_4S%{vqt-WxBgb#{v@A@ zu||Nm>b0f2tOP>->RF4o*8@&|7XP}7k3sB>&;yqVo`5|+1x+Wf1hHzRy4Ov6L26lh z)$-UKAbEWGgO}E3K&;5op~x=*RIeyzyUruP&#ge6s(S#0eNSYSN2~)%=Zd9MjD zNXBOEp)%`0!c^Vx!ThHP4;af~$q#0VfTYKqTiC<1fHZsAZezX8AYHxk@bGJNz&{`L zq~65|BvsaZoVU&pWbyLp0bX=tkk;v67cu0jVgU=0#wVKtG){|K$hgN#4fE1r0m)?L@Wh??7C7z zbKe8NEhASaj!y+Cx$-E#;lhC1^1|)hD{qiAduA-w5smPG=U1qubTL50iO0b_mgTqP z51%l#dl;ae2ANha@C9kNgD<>o@&I%BX-xK01CYAswj`p#8;JZDjb`D9fPPXgo?}h` zRN;$y!RHP@nKdzP;|LEBPdzZB&fqd&mGBdAG8B*)@v`lXdML=atji8hmI3MMBU2NK z{Xoor-s#!x?LafV^Md#FeS`;`D*wjOYnULdBKfd6DGJczCOSTOzZP(nu1~G5ode8< zxcD^@g+QuUQext5_PHKe&vVUf&8+vnXTjF2-TojV8KE3Dw;S;9<^|V<2Ln~jju9}@ zcEI}HIQ8soWYzWD;MZjV+fOU8rL;U&w4 zMV$nE0VDP~|0N(8M(vtNZv(0AhupPBv)+$*0y<=6FGyOqXWXaH05bFKrKs#VfDdiZ zlCUivan~ zqUzu>OORi7Z_Y|lJC?uel9^ZP1*APfH9@>Ikg^xIM3>0|dEOEJuoc&kdiQt(WybR3 z&w+{}Sm%an0cGa#^G~Gqg7o;%LpSGtUjG4K75j05R}~P)2`08UrhzO@A>>}qVIT?6 zXNy;}-urro9EFwIAj52yA?#r+8#}W>Dr?2Vlu=`VIB#QZQL8b?lv7P`Jvl(6 z+j#RlvPATO$ZVDiVKf2BLAsCk{Q;2eisOksFcPFsOgR7QP6%LUs-K(q_!3BLIUT{% zHUgxkNCl*Z+-33g=x~7>4(VSah{hP$F5L^b#rJ|vbyfgLrYCs@_y9gBbaOQJ1Q5D- zM=vf|3(`Do-WqNjL28_K&(nR)Ktxr0#BK2b;-O^QUGsf_ z#Oe~HWl#B#%O{&rqPfH*k=WSn|`vlfc3M%fn*kRs zvQMIg6&H-1>S2@JitwNyG#TX*z8PfRPY)1vst58U{cU!ac7m+)j$+Zg`9LbyI%?in z2c+H3DR*2(0Yz@Xn{l#fK-M%v?VVZ*_`|ox5A1pZU&=%O@rS>f2X_3x9)I}7!+#^5 z{;!Nr|JCCUL*)T=M(@q-VqK6Te6ZMxn+K><)2=%mdjulmr(q9>T?7%)YgWT7rU1_9 z?&{phuK;B;CG(AjI?E4T@lHa1AG6OhTq~l<5JaXmdWCJf212JM8tL5<1WfMaT%nWa zL7?wL&ciJ)0h2YcuX2AD;6B`U?Ofdlr1u~*!gM%D?)B!iU~C7GHQ~EsaRGpx&Q!E{ zb`j8H3YV=7zXud?kv8VT8$g-FBMRl)L42a4o5tlvpm=Xcx7S1gpP}LA3zTUf?E2xT zjAbc^O-j)GIp##;Uzz_KDF3~%#rvbMu zBj&=!r+}Rxp?`XwGYFL)IGI=$2*P8-pYNuz;_!2Gj^RHwB z7Aw2+@u?+1q7ZE`Dn%gSk!f(96+hzm)#F~AS_y8n`)MEf<-t?H>D?(Rhj&3pvnh7auL+#ZR{2a-6Ok?QqwJ`nvjtspR^LA)$)ri<}4 z5U(w+S&4oHGHRP+E@UVJ&w>>xs%ugJU3}!E*~@egzJoTJh0133G%Bm^SQrWz4f>iX zq4R)J-WXRA6AdD9n#UYPB>=B!K7*%S9Je8wCwkMnap-=gD*N4IC^ZniWKo^T#P*O_f9cMEj57gY;C94;Zzq!5!WmLY?9@`kCo`Brsq=L2+ zlMx=+`K|JkYOva78-QY3q&cVR4#*VNy5OTj^ul@>ubo$ z&NdEgI**J$43!6Vek;v?@d`o~3S`$~l`@RTh(5@9C2S9EqXG$TIE4Bcg2cHeh5Fc+ zAhXkA?~SX4AnnF`Isu~&a`zV&G(YVGnvm{?ZT_}E+`B6@eWlLl^>!Dekxrjs-9M(R z0gF2a#Mw9no&94#Cgg+$4nGp)7i$}6lwyEfzIblTxU--0TOU4&)9}V1^)=W$$TP1= zJoj(l%5P=!K(`qFs=}oBbAGE^X5jpgGN2ZP?JJ1aLgr7i^ZD5IHE8K$^85w62duBb zu2(5PYHmU7u+>1_UnJ_ZAQh;d)?3D`&_;N`oe2rIwi5^W8jt*EMcF`!JhE@H+-Shn zM^V?S6A&I`7d;*QeqA6alwJ`c3ikm;ORT&81Ruych^+4FWP+4`#tE^#xSQUN`GXB8kfn84kPYwsC zZKII-OVZXc)K6;>EwfK*bN~F!o(a>sRjABMh8Yd9F6e6&i9sSmbDnKHx^`H?!)U5Zh=hw zRo!ZHBGTU~S9SBy{A>20fO!~R)@=vm7x}{%XvzV#J9$s35{uiaqFVA50#I~PZYSSu z;2NK1=WEFGXYZW428Yy}Ve5lzm5I^OqcKRn_dxY#*z2*gd0^L@>7TD5TiSipt@a~G z?K(BA+cODBGrea;-okR#Z)N9u_pdiYywlOrJG>Lo2e~IBrpmkC2N{<)XkidW#-~MT z;UnCSoB_#_;fv_ThX6fqhL2(NJ!Wsy@`ooQmVn5nJSpcSEMN}pV4O>90+AlNbI|-b zfZlSH8Wz<6`~@SdeU!h!yajGv*Dd8cLqKTzhT6%=S|Dn=-mlul2+401)o*^{*%J&x-Ywzp zlM?`C^>$fLJ`RYTe36afwt%BN*k%~<3Pf>*24(wG0j*3g>0W9If>&nl+dW$y_|7eT zKk6Opy0_-~IPx85epq}t=fL8XAZ(|TGNJGgh?PxGba7)nzZUtCQfnuJ1fw^7MD{)4 zeRRsne8*Yf#Vw#Mv78O!{NXewN+byHe0Lw;bOcb7stPwOXFWg6&BaRDc8I?u;CjvF zNR2WGl}K&car6o@|ABb%xk=afl^~`gr_f1IK-Oay4*ZzdkgNlu*hzW;``&`UjAqPJ zm60IgR%VV)y~6Cm7UxwCn*sduS1)WkXA69l9kVQy%|K`?DscA0$sjbxb-BUORuC-K z9_F{v5BNM~B#yUK1FEp2tW{PB_(!FVtq__GygUuJ9+aE{F(TfKDNqW8YcXYEjCLS6 z(d?}*+W~6+UDt(UbAg{P?@4nEf%QDM(U>dN19s;QnxeE52-nZBi9E9uct6^d76`F^ zKeGP%lpDc-aVqYRZLI@QE3Js-%Z35gj=5=dI6q*Dgv$@D%m-4`#6<_9NQl2As(DS? zcfAP+_Qm`9CCp}ai)xJ}n;$~_C7In*y-yij0b%-tFmIO_5PP+)?67b(2uRN##_W9n ze7hUoyQ;PTQMG&L8L3hb$yvNN{p~oAob4ri!Mr!gRoKNNa`>;b&f_Ul>+DgeQcu?F>2A5eEKJ~U+T1KM%B zcyzfZ5I31WAHA{`(9x^qo{F6Zq4C=(h1ttMC@No~Qm6*R_el4ws*nWC4cQ4nHCq8Y zSzn^Aumc3c_)TdO>p-Gccq>ukHi)h8+Ap*+`(>xr3*o9i`8(QX*@uXnT(xpOatk{juIo< zMv(B$u9-{c2kZgya6z*cga@LnHFbPaK48$)14sgT!dHE3%&*M@ z@ln0+CJm1R!KJ~kWh6EMp;!2D`ZgTM%nHx+l9>fkisAc0R_p{qnPlZ<(IUX~JU-+S z?F=XjLB;(&A%Kshmu4K?4}|CGZ=cc9L6))V&>F32fV!qVbBcHlVDq+CSze_BCHtA_ z(zru_&rgwvcwq~ohVt5aj95VPkJOXdfC4=3^-AqqCctxh^tL38d>}sUY{VT7U$sq0J|9NyUZq1}JmBsqpf}fcgM?X9ouW%K zq7OpD)CFE#XhZY?>$x&LPH!dP%$JT$-7^y50Trz%+`6y~(Fe?SccF|+(SVgHE18k6 z0u+>_bB&t`Nc-GA^}b;$q7N9!4SRI6-XZyX1L*_V(@oI*RtDgjg~rldtPy<>UjBZ$ zMV32A;1!A~1_wYiwmida&PyPr8_vqT_zonyJI*Kwu1E9%#c+>tG?|6ygVe=c?) zAYKr^ibx%g=mWuea>=w%X+$5ScPq_`Ew(`PK`Q#Sam?s#fIp*$BW}0~n65=?w~DMl zU|Q_Dv3Hq(b)Ql9Z2t>D84o+0Jchxg4{{P^muvB?zgO9ed1S`}*y=m$#vJhnid+RY zZs~Lo-Fj=sTK;rIAE-tSt0P_J0)I$@bLY(hAOsekx?Oh>q_#wiK3qQnNJeVtX>vA* zJ`iiuCSfEJK^|RMx-EYM$OfPzC?*zwuAXtepz#$D7Ud=kb2!VT5BMUbsFQ_FfSwqw zs_iiz2%CmAuMfNlV$9>Z)PNEoqc^GG8%KfgQLC+K6LUa3&_B`JWg#+ORLpqs*;m!) z0Y!I8S~lDc(TD#261zShF1yP{xRTYrE#)hkUP|TC2TWy^5N$sm(FfdH66*a&2N3hL zH*h)4@>h+nJ5-Q70dHSwmKP%ogz1{uNzDs^;A^m&8Dja}=ZpUA;}1W(zw~d<*Pv2$ z6_aNb{xE-u9Z!F)zl5{$JtJ+Dip&>9hg*sV2%iR2YO7Idjsl=|-N;M@RaRWtR`z7m z3_u&jJVH%(1F_jDB39F~0R6Gf`c2$1w!g%Dw_kb2>KXe$a?<#g1U*y0OdIoblBW?X zetea{>$&8!KJ0cmK23@M*nmaje0NlV^!PjbpI6`E;z4j*_=445b%?)&)7-mz_L@;Z zj-L{AR^1zLD~_LByP*p3fxg<8qN5QWMDi;3ls6p(ti(!5>7yF}J@qL4`V~OpX|lkE zrF=0ffiO~6+wxy!P8_-A;fOq+^n{ zXM=F%#t8zK>w&l@Tw~_aR={XA9Tuv@047?<`t@QFz?faNa;iHE#L5cZF4_o?)}?eN z8(joK{UM|E8CifoSJ*0gU>?E)Hg4?=Iz1S0x4YdxiWCDO#PjaW%!4dlGphAxXaMGU zjH9W0EJ$9~9A}>w0BDb;!)z6bK>{KdMcr%$QU)(m=IBBY7xB$AZW9NrRoyb*)*~Rj zf;s11?|Z;Ww%?zl?+y4U&FZFAFAyH^6ME>bBf}6LM8bDVZFrys;xe`KG|pTAF)tH= zH@U2R+=};a?Mgwi=|j#+<3bRZh+68OJOQxc77`XG!T`HQy_-Ig4iXKoSWfHc&-x%B zyLbBYMFTf|RZTT^2;t3!oPP=9kx0kD)09zjj(id+|>2w4!2k+=5nJm9MV!m4jt`^Y;`4F4N zp3wz>AFbkdL&$GXeUN$oCNd>@9FSXGsmT*Q*Y}p5wIAncb&!0wR46omR*lx)BKyu(oNbgvO@IXi>TR)J! z$)yisqku`BqPizfz&FR!!taIUN1{i3u|BZJAAXj64fgnh%yV7WCkMBE zalJ}54+Hs2?0N!U>n~Bv_B8G|w}i`IqQLzN&nO{7=Ar-i!(jdrEvT~s$lBo?}oxdcuq1mUi+YtoUiT2igOc`=LGF(B<9lD4Nq7T?9 zN>5~u&H>z>qy;@WF$_(qw`slD|Z%;6Hb%CyZdI1aj-=60Uw+g zL$Tb(#RJYNK0oA!Ef6P{P>at5vvgDfuid!OYf;|yN%Re>dyna-VB=u>H*)H zr#EsD9;7CiHSZpGcTj!6oPScitRxa7RF>MNPPqw~ZPaI@jn5)HkV?v2ZmMP=Jc!6| z#hO`*gYdf5oAEiz0B4l*v|*VW@SjLNk~wuD!UNu7ykE))rvc*!fg=lypUhqc#Fts` zYG*Fx;z4|Z^P~)M-9hUae;SWt_7z=I#4I5IF`6XjYCRXwOCz4f9~MUXmvH1Gch|@3 zeYHMd)%U2X&oTtU9#t(H9b+yYXtHBxj!Rkf&G9t8-lAQ1#*HtIrzzLw?ZuK@|FU=* zr{shQHu3-A@$^9Tm%evAjlI@*4=OkRG~*9a3-~0@r0W8%^P#KcxvnAWgUF1e347<) z|84oLg0%^w@i+Hz>BFabWX!hJr|QowIRVlOd_T^!zdGdpC8EN%G@g-bhs*<^R?(SB z_8hc+D|4Huc z{dDKAeDA-hzmxN3%E$cbZ~d2!Pjjue8$S8;q&g}{zO3FolNta7 z+h_AayBh%KIoG0VJTG9X3J+PEF9&SU%NOylZzDWlGb?%50b8y4Ze=b2oLQ1R*YuboF!>Dxp+XG*j;b0H4X8XgmD^q=daE{ctD>R zU%zjI5r`efI#eBf1t_CX+e)i$L?0xFJEl1-wnum%Va_Hjto8uB_GY;(wWnM>P)_YM zemz`!Jd^GJuSYo*D;;<|Z1hy}B&!srF*|h()e)seJ{(isL>;B`uuj{(6>w10e*Y){a*ZcE+-w%?ES2T*Z z%$N)>7lx-;X*Wc=f_M7*dwITnXZlD-w&Z9JdUNMNcyZ~GxVh^|`1P3FyV_sYvmcmD z6K5~QX`xBhyfAptmSJj!43bG_66Gp$P8vfEh zLj3K)a72T^>_S^xXyI|WzB|A}J8{uqI^ENCCh%l|SFMsZo$;vj%0f+zfPjJHpH_AM zdN==>avVTFKWH|fb12TrJ&?HVUoxWRRz44lbUDfLXYL`91a~)8st;(C%qZ~7M@B51 zDTLd_<0CZb+x*??eMp2XT)NVKNZP2waU<4S!=~rA64PSrLA_vxL8(7gN9nn{s5Z)Q z;o9AL>#JW!DgbMqxn?yxy^*{PrE)x%znAv2kac7AUvhO~wtL4CP7UAI zk^Q$*XYY@6y3ZrkPVp2ooTxS5L==u9ScN?qpI4#Or$$JuQ;pB5_sm=&B7hUaO1Hk&ph%Q?qV2#dbPV3jcjO7 zX6OQj0(S)~OT3@jCHF;T3tg}U&d94f!6Zz|z^AliodKOn$*VtP=c?9%kKUs@$E=RR zy$9VCryBfi!nQ20?JkD?4c}svF@H@jena-3`ruLSeBSMPrY*|lJAm6U4y+|oFVRnX z>KFx-r&TYQbd-6fCDoV%0W@tUXmr9|d)nv3=)L+|uJg9$`9@70u1*3+NM5TKC_!WNkGxL6A~Q#_$4o z;w1+T^n~ObDdPcz+(ReJDyNQ-&Oa@-f{LKt5Q<(vdSn*f2y8Tklcf<+H>Vz$AJ z??5h1!?M=xxv>W8J{`qvZL4K2yEC)N^D!p~@&*BX@FeSN#W#(6+yJDS8sFETnpt*q z$_XyF*dtLgXQYEeaBuH~+B5pM44zV2iQzWwzVa)h6}B(Q$r?qUO0~s$O{QoUago;g zZ&!;vC_3UlmYGrXA*Z1RiOw>iIfBFk@>mKFL_OA>9V*$Aozwzw76(-x$gYg2$dWT> zl1zFjFW01u0Ql-E*SFLsot=RTqX4ql0Ljz=mg-B6)c-sYVs;90+mG`2zs%Tm--CKu z#(cluHuLI+1)NLTlnUrTPrV3ztlK$opcvXk2bP@#f;Gv+sez4;(liQu^!&!nrn48X z|Cf#&+%)&EL%m!Xk>5kz=epesw#nwCVQ+psL-(~)0Jkp+ZSp?oqDH;N9yD*|)1N2+ zG+C=_zzu0XsXbjGLO^E+%zu6yYB(W2wX6r;rnn4ML0FX5Ag?(O{(}mJ&r%s6#o)$i z`qi%pry<(YF|)wVf+9tIK&YzbMaX=}LgO?_Gn^v-p)l3wbM}+I3Ndq{+&NLq4_x_d z%q%5{zA(W?DLk~KwQ3IA7^FFfc16FrZ{Rn6L)1j1SutPK@V^8YUm$Nk5eVZmm2noS zQH}V&5;mSBWRJ4$u8UqB;JbBM>pI?PqF0aB^U1H%8=6-Fq3hbh!*GM7kwENvfSvep zSKs;OwIzye8;1GW2mW=k3Q_-tnogJ1IWDo)oR+=tN^nC7d#;UKYLFhh{!FZ!3by7( zm+fXH?)ruK^*+s?#jYcZZY=vWCvSZ6j#a3WD<2AP=7qW!y3&8%f7zFCBhq<&z5D)m zJFVAFA-^2_!=AU}sn$!oRT)X!K58W$`}TH3zDgJL^i?kBrty62oU6=ea*h75eqCVI znHc;qUIJbF%@7PKZ(e3C%{+g*4P{{x1e-}10khrWZ=ZhtAp{ycVD3pEk`5^INC|0= zGbe6eXQ03VcWnWUKJ0dAqoiQFt4WrjQS+!QEsVC zu2;-3eu#10LcxC_vLXuQyN@?H|lXg+22gPA*6kye-{^R z1UhQE`y5?-s#tqyGtQVntBnWF7z+X(zCQzyfOL;?N68EQIa0Uym~X`fR)16cAnPBl z^x^n<0Q`=4R*c3}vo1in(_8b^so%ApSpT<#Kj8hs~-i=KOp2 zd-meV|Kq%4+WIId@_&H%LQt0}{UhG3e3ARPr!K|B1`tsEWOY#)awbrTm6y%|R%S=0 zn%EG8LOKp9F2zo@FebI)mQ>Z;J$6_pG?2}Ng4G`CUfRj*nevJB#vnQr3@m*Q2xh7! zn*-3fVpJOtOPr8x;(tq^V6qNqMSh`vuD^}_JO-Na6r>*?Bch4SJ zO*O10(XmDfT(BAg#~K4fOyuR*sDwer7^%E71nHA^zK|PGV8-hmbIjY?{^_G5_0_Ak zik>*z9fpg3X0mF>naH?728UGM6M`({27QE4UjdcT_{H9d|CY6o4RL65!$l`ES)$_% zKX#D8u7jEb^=!v-!}iofM`~GjTu>lhJRSecH;?y ziVM=hi%l(f13$ih|20S-8>Djv>Fh!J_~69H7qp6Kd8&VI3wbL}MO!@`yYo#;bAh3b z&--XRWq?y>zr%2!pIOpJN1{&_*QwfZ_7A{10d`r{h@YkT1bh!zIAb~ko}79gHf=gH z#pmsABIYAYtSWi4UgbTjjSHDx~jx$YbmC}-JjyBImAxKxM0ZC%pq6gf(1>Z z&?UD;9gR&XDJ|p0;K+QbXX1J1$>lBvtYA7F_I>CUUk{siq&YP+dT^rKK&Kw3T&a;2 zAnmNI9V9~@0xkR)E* zi=_(086%_cb0CY>_V&?XaV>3IX~@?#2E!}&Rk`e7Vu%KZ=48c2u&S{1!!c^aA z<5jzS=Gwegg1$`V)-F=UKeGlpOr_qrk6`#XbK9vEBFfZf?{pi!?vVkrSK zM?;H^R%&Qg81p?!f64q8t&oXTHbY7(lGoObVVR=q6E^z+yi@K}6(sty=1iF=F^@q5 zS7rqi4;becw%%q498!3+0?CxVMzYKb{i0K^m@EKem{)X@S(kGLlsL7!pT?>K87is; z-7mK)i;&;zbolwK74zsHOgc3rpnjp+zEqx?BEya&WqO>-=@NV9Fl_T+uK!_5@3U7d zBc7`R-k#IVbXYZi=>5iamR(M6K4NMzZ`UBJB%gq#c**54mEi*8Nj3UP;$;g)caieA zc67$bfsv&E%);RV&VgrLl)jB)>afx(&K{P<#$9Gm1-7fp`0VQVWIa8}7@l@JbT%22 zq0DmAyy)Q9s5WtJvTtut#>&?c1fXugdvHPKMVovjPv zB5b~sq_zWpSuNRFnwHzCM->pM%m9Kira{aaU4f+CqM%nT*={V=Rtc^zS&Njr`xpI} zK11dcKlouYlGGTLGK_qzxo+lGU7aEob!|y7wh21X9pzM4Ra^i$0w3$r&n3^1KSfnC zJ#q*_-`az!+59TQs^|7&)|kR-YXO-0thlRolpjOCan_Q6`laDxK%>RsvEG>kJC0F-+%^GIgJhn*Ca%HwBHfQu^1dic6GAq*tX$VX)tb$RUo*p{qi3ns^F}!n0j4 z*m+BHO&%<(No4T^%I&#a;2db2DjU|cbZf-_cv)ge4N%_$Fg~i7?Lc{hB*_tp^6j(! zm7&X$A>qh_V-#N7up%`9Jr;&JvM95pShEN}eeu+XITm<9VR{lq*u@^y99V{cxDtnD z+gJN*CdQZIJO~GKxXX-h&;{i8x{~ZCtwjmhQac?lMlj8r=VdA5H6n6Cgq!Bd)`j*z z8IP_@xcWP)%0{VC3`!0adz>S4g-=TBbTsrnacSus@4SZV!xWlv&k@g3eC~ntBz}@% ztJ%JcT~c*VvnX~!HIiVm-sqb$&~Rp!LO?gDYr-)Zvu{JFGq|}m=L&GGFPe8x;xXbwM^l6NLN>C6iIwmu9I5%la2}B zogkY#;sPPmk2_|kUABf9qMc~Z(y4YohT2OtswH}i{0K-UEINigN+Vnu_iEQ(%u$#7 zEUkTtcG2Ux92xsM<@8Nuv{>~Fonag|$Q#l0`%DNHk0ehna~3DD$%1q+C3Qcgx}XEh z^HQh4JHQPs--fEOLZO3ywE^gY;{FvZrj+0h)>&w3TH}j2vkoHn=l5b+jhb{s>!KG< hE!xufc|_}+{)Sf0bzJE}ZMjBEzo_QX5_I{p{{ee8H#-0T literal 0 HcmV?d00001 diff --git a/data_application/BMI/BMI_compLasso.RData b/data_application/BMI/BMI_compLasso.RData new file mode 100644 index 0000000000000000000000000000000000000000..4b50639e8da3dbbd17d14ee5680248e54a0f05b8 GIT binary patch literal 4638 zcmYL~`CAf*!i8&`GN&nKGV_)xQ;lP4hFOg(kWP-7DJE`Zie{zduDKurnVOX)?n{nf zX)d_uzTucDiVN;*fJ=yih)JNV-tPCy_x=UvoacR>157%w=l@XPx+y(&?op8|xg9wW zuf8|d{@#KpTDkW8s1R$BaQ)Uhd!>TdsncwPuCrUVGdsi_prX-ceLXV?l$)IOG|DMEpc2PSZ|ZGFE7SXv>$Gt3Smwc4hOASTn2hdNIL5zm>8T?i76cRd8S@c`&rjA z+|Fd;ZEYV}D0{Zva{h)Swb&Cyn3bzP(OVT~7Bi1G(P!wY=HwpwypS3oLKZJyrbWDF z-l^HAMF{ST5X~kJ)VV{5&neYPNzF?*{}-q<3}%+%H?vi}BrI{9_d!7*I`~$3Av=sF z51-F{S?7f861uuic?iA_lxJw4kK1U?@rZmCG$KFwosS=9l@-5p`IAbuSD&+~hLbc$ z@3}7TK9SM9qyiU#=JoTnl1w`vM(_Tespupd{?-x4MWqy7c>wruU&A_%4}G)$gL_ru za9;5<|J=y2jq=Bx)MH4kLm@PPiILGI%qMl;_rhg;4YkyZY_qpXuu`rCqf3W=w`9Cq@-oF(zchYL@`Ufo=`+?nlUO~imzeh zj)5i_g=H3ohzBM>Ek96P75GwSqCqCkF|*|1cNc?$eTmmv8S4uRBT>IPwHLDu+4SB0 z0-tUYfMT=X?Q62XnS0K#WR)_WpLqCx%*Gc-1YXV*&B@XBW1a)N34tVhejgeXS1B23 z=JniQWY16{dpfXbp*X*CEIj&zBj85QXsawiW+&`elhoC0#}!A-Sd8t&Cv3>7DuB1z znx#kQSve0S@nC9WSbx{s3m-E&CcuDjtdDZN`-rsjRf)e@MLs*y{H-Zy9d)a-HMF6D zWX>4yd>J_svSdQOK?CHzbn6y#i?`GoI}IJ~oL zYa`B|KX-$r`cddTP+hN5ohUF2msvV#5M!J~rQ-2on+ojg&Sr}atYWu7Moji`qrUSn zgo{rIb~eGzfH_=6{zGH07^m&bGW3xQoVM)W-i8jsV^RMv-%Q=x$_~OMTD~YJd26UW z4cN*^aCaH6sRYi1(a=YxG`Fx>~f!Ki)KzRCL)QfY<6=i=fMEJOjxLE zwcf$TID!fHmlG4%X0}6QN7M1;zcsgOYQiCjV5}qgP#Z9SphjHIJE5h`ikhh5V&l~j zF4S=HG?zMoB${dnJ*F|G$t444R=2&7tEY*AF)ld^Tz?r~wR`_3FY0|a$zQ6i9OX&l zM`APkgonEhh8pPt<$5e!pGo!(ujs51{}L(vgM-LK%tQei4@y2C^_PqjL&_?EPNh}l zWnZ6ejnX<>LlCZ=T|(3(&wo~Bo|U?e{)~xo1&^!4nxO7&<#U~nuwGnU;pfJV>tc+- z>t=FdO#tuR?MSDqLvE44#0JCS<=j%QIeG4s&p6li)JAyRfwp9#%##~HC?RrhbbX7m zexY1vnQZ-4u`pTEjrS|=O?sr!YIaXvuMLL1p#`n`>TD%*%)YA|{3JMn-1VKer#@vO z8Z#3wpn={$S*tOeNp}nZ-nzIzH*B~-Z$rW_=#4mgt>J>t#IFFjzZ)0v?%0 z$IS4lmxA1akqgg8UDpY5&;4h!i$@$qWEl#WxNhM+n%ImbXF1-}^DBqXq_F0@>Zx-RO%x#{wR-L8H|1Zw>Kx-erb;7T`f!-V7HOhFV{@q6z zMN-qFVT`8#|Cv7#jqgn0NAJm#!5&$nylj!g0M5C}<{DrF+Tk3C@Q)G>Wv%ERbBcjO zR(b@p2$DYGlNP;C+vfsgmq!>A?oSUrt4&TxONL(1+e&$5Bj&LWo#w$TdXFphYQN{( zzTlhXPYn1T52pL1e0XZ+6IxoS%Ss6i3_#Pl?W7_!)B%5ka`Oo&6^^6Wa(`N=n=G-qYE*nHR$o|jGm%+v8@DjN^>&1>|rX@ z-7puT(D6RzKREdl04>rUp_OVfIX~`j8jx$I1O6CiMo6!smXu5S!b9eak97=0mcSW9y_iL30Ox^1n<5IeMFrKMF>8z5j`Y`!H|nliPv z9&XG7m}O#~DYE4Y8sTs^`so@dUv)mH>=`SOU8%LDDrnMlL(IUsCDkg+uen-txE*&$ z^v1t@l{{7V>RW4KS*Yml7TgRPA}hFGsSkY-<5nPam`HCNtm@wxkp8j~X^;5I#d;qf!8OA_sTB<{zv-x+CzC{$%}PHj-$S(|MJ9OS=qqT65ARLZkQ-(s$k% zFqq!%BaEw8;0srZ&$8E*@_{wp>m65dMUp+HyEVvhsESY~@ z*CG6LJG!VM4@adB2o1mSE}#=IiL0RPEm24?!CZ6&b&dOH19la1=KZ73iL>T9z==-f zm0ZqvSR+O|RW+2Jib>uUx!DIgcCJQsTU#>?Pi$^pv!*H!Lb{rDHj(Cp>8Z@RKK^Wx zdOGl-mGrIw;`T~y6j1CkhPJsrh=>!y9!$r`eOfV{`8fmy*)K*K$9xng4?ctxH&z|x zLReOUeOo%3jP9KSbH`_mne*F4_d?VcwdPVaNMWjV*%^jxVCs=MTUrdv9;LLtC)Y*w zPml@F1mMeB6vc}#9>89LSt6A&zgPV|70Wv18DqO_yb497V2O)Jd(!6Ts)F}go4?1j z?rfd52R-}2W5n)?hyL&Zww8Elb*|N+ew&7lC`iemr6TQH?uv|7s|#4i7pfl-EK#FF zWWtul_3P*Cv~82x-@3<1u+7%~|>5%>{)1+N?opIrWU< zi^x{-`l0%`9QUqo;IlAa)zK*2u+;(=7j_olfAT?)b;lxKS8=7TpPyU`HOa^rVccUq znE|q!tcMljgA5{>oM zcDN1Oy=68CEL<+)V5g4^?1r_mCxbv#7jLBVCHh|J4~))~?YpGCb=&HrC_~@QQg8u> zo0MLIOkt6B4s0G1Q3Q|AF0l6E-`|VL0mib99^-jS{`8gNR#N-IMiGy?zu?vm<^!^T z@xrU06$3_42P_n5z_cBG%Vie|Vb1!TUFxjzDr;wHBjX4Zi^(ucP} zK}y`8C)7qsU*5{yM^L|As7_D9XWL^vvG1^R1Ji&Z=%~Dg5m3`^cjA=|OOa*GcEumc zi(EjRfaL&dK>J8hb`gXlIRNb*!CGu@dN84H530Qe2AVA-KJ~iQq){2!EOFtU%CNK)3avIu8NKX6*t1XuNNKvJC?;E=Kq5Ws% z@Rq?xqktlz;i}9`9X2t2>_(OTVP)pnvDbNLp$y(-Yv>0C?Zwwy-eVHtiAtEI!W$LcjR|HTN4`PUS?Z-x8iH z2go?K0Gj(CXB-uT-Jzq9SOrE|D{oQCccpP!uw!qK)pg?MnoYRoV9r&Dd_7#@@VZIz zWYXX2Y~zk@=uS-1)Ub(}A%QPi+Qh4|upcG!?!vAOf!|IPC?7tu2=xhr5E#hCAy^Yj z>ay%7m0W@GJVV%hu{?z{Z9@3T<;x%RrlIy-?C$Mk`QoyRM>kuG+Homz7vEhWujG;1 z8)RkhTj;Hnq4aVPHhvPuMzpQG(___%Kb5TPVix_nT|4SI$~~~a9S|1k$=WinbE_3E z;P8XTO{Lnyte1by@7A!cI`bHEd)pGAQGVBA+4;;E`n) zr^%{^BWa_N&>%u9r~KQe{0d01?~*Q*wECkn;qh#EWChKkn^`MM3pu!dQ+A zSKBx(G10O{?`+ms4Cx|()KUDri7?l|Ok@SL;RiY;T^-ZR5Yfpd*{rczG`^eN-5a>O z&|xc!l4Po3Zbt|dD(I5eVTO-M>^shcngUvE6@byr4C!5rjL?%EC-B2Zz0X+rqjg#{MUvfaMG*hf!_0tb_cd&o#ifO7g^c9|J1Uh`2WNO5)@rcIs4Chur zYSPO;!PBLZ>|pe*nk5!`Kf0Ga&ges}G&VJ3R1sid7RYK- zTpEDbn9b)aI71g#$CMGfLzeB3io4QI6T~pP5Y)z*f^7$*45Z}&k~tMdpJ1)B?lvx( z8T1b|D@}>Rr`{FR#yz{!6h8Dm20X<@V;DX@n>?J_w|+TcQ=m2>uC;|%$Gn~fY=AgO z?n(MC9Jnq+k+)mgt6D;*iwo}{tQZbbUP-n4HI8y}yD^tE%whbvTT#L!_DnjFGfMUO z*)|$0RkvL_eEZpxe%2jM;gfUB^6b>xn4!5In`4!(4HfJk7Ohu;?yDfjHl)Ni;kwgP z=We&ggxgN)Y+VXszI-!S$38K4uBkng@{UdHsW&h877WgN?^d1VZ$nMW$)lgI?%nfW Dh*C4`^Ts~j zSScDRk|`=GU^S(5%JN2`h>A#F5CH+XfBk-c`kp`F{W$0Se!gDkbq=s_m%;xnBVnY; z3*3cFy~OI+ukRvu-hHxH*SF)_yH)OA?YgT;-~ZFaT@)v$y|;Xh7JrHH+HokQa^cor zJ1;d~ei9OXH!Q3z*!(21kJ2%AF7VmTb3gb$xfE!a4bQmhy-yuOLC1aea^V=jK1i4 z?}K51l_%!)jnx4O!M9C%jPEfN@|}gy&07!{)+!7+1#HU=edn{1JJ1jzaSg~g*+Wo! z6gHl))do>Y+?B6G5|qQEvYmymmfSkQ@^KoO@3n?QU_omoRD z_$nAmkRFy?m=7u$Erg@_Y|vPJjVCdpKxrO%DwfY~0zQOb>$S0^WKDSEjQXs?nVie0 z@KL_-V=FCfvmg3WSOcd9*n$u6G08+uFdW{|5Q;p7Hw&+w9(BYs>*2U2TpYAz@q0M9 zQW77y8m<%)WX`nLxnBs_@yq^Rt02abAPn1}e7S&$2UY~i@SABxHs$DMEuO;+=xNL7 z*lbzzY%=$j;shh8V!y9+!HtXs)(@5ynykW8D`|-|UuwN{g=$5+Ktr|ns^SlzV zO_=oMZ(6AxwH3gJAUo|%DlkCyl_zW(Cv!fDBIMfTB|3`2sC6~;P*vOJ^ZH1}L|*G8 zBIt0ea%tXggZ>fo7Y))q#c&;*9XI(dZVik8d#Cx^wm- zK2+Vn;g0E?A!+4}a$KR`8tMfb6fE~)!xCObCC6uzLMG1AjHLBS5O!vfPb#SugNVfH&%Ev;UNbb z*udF@@qFYx$LSRGK zGTJ1K{V{Ny=R3&?m^mj*NZaRH8=4n;!Lt`fR@o;o-}6@j`4nLT933k2oGcV#ecE_q zqaIDb$~clskMBD~)2uJYn1K4V3B9i(z5B904Eo5Mz#FBSQkF#er+YGDJH+3Q@+0BHnWDv|2s|_pysU4nmLRHfLicF~_mjC>^Nppb@>H zIRr_9eF$Z-#(PS$o>1&FmUFbcUh?Zar?Nf=7H(P9Qxg^EO=g-~d?AnomQK-rtZC7H z=>UcIwW0oin-k;?ArJYD;fvmtEn5jWeH7U*UGI%kpF6WI0~4_RG)!%H&vKB8<#Sv7?Y*npjgO-jgXKUj?ZKclruuTQzBxK8#ZXD|wF}ccNP(dZG2&c-iv`8aX1vHg zsC8vh9Qy2l4U1leY1r}=BI>thu59`6adwzV4}u22aFp8GmO)U3>AK-#x(=;i0o!Dg zNUFhnkdLV%s11v^d4C)bHiP1aqB;N^OC!$yyN*btN4OH*{+4hK z0E4mvix=+j3ga3%iXgCqBVIw={I(!|^%CFrqw&M&Q+PJuVN?Qi`{1svwZV|<3a>R3 ztFyf%y;+7Y3C4LXr`u*mH?9vi$kAOZAw;(@q0_4Dk&qRZyckA`$h{S~a&B-8Af=!> zR6fmJ_;)!}B7-Ev#@h&S@irsaR#uy?|}TtuPx~J^t)i zb>Mq=cM)_1)bpGG+V$l)W_$oDZFn~WfQ7v$mzXregT_`YY%N-&ADenc$1wv~;7(dF zs$~hB$-O0T%EX0=08P5oVWQ5=BZOko%y2LP0xY%0AIv2}7T>L#3FZc71ZqVe z@=90DUy-{i85+Ue|CcMf$!1BP@;R<((M^(2LtNKTr(ekpAQUOW{UQy#?}hP;omp0M zukyzYk%kz<>YZ8N&F#)N=`4EzNU@ffx%{CiHGrMh5&E%4(2?_tB!gM*=Rc$L{=1Ef zp$55oWg&)8>fH-2zyjyLnI0zp7NHMcb=G~%pYIkJ*6#Z7d4_aeVAy>`f8E^)&}b0- zxhBZ?33G(`#hkWZo4cnx#XxEF7U-S_P453b`GQNdu}l34kf*_Y>Ehy>kq}= zXIo#*B|$27q)A_zXCiigTOvllJmkAWc_jF$O<9K_aZ8ovp~+{}`N8&MhuDyW0S-Qw&-w0CQ7m zFTd>mZ?zR}5_=LL``c=$rY|8nIjeV#f4uBYlzUfeQq7DiMLspM`mUd&QEBg`kvSKX z21D<%&(pY`{RK?MD^qb!$Ie4+zCY+(-ls+I1R~M+71}wu%raeixzxj*fLcMk*z-qP zFwhz(y;3I4c<6BvId1f6^D&v0D#`lsuL;Xk_^ygFvS)SeZoclfxu;RrWV<(h(+~3j z<;CN6Nt}>pxyOg7c|W-j5dQ1JgB#-(QB!u_*cT$jt zE_jjl%R4hZ@UCEd!|m`Y^nq}PBwl(ir&|Bvi@|ROV^4yIlpeEC<1hIqCgOvo{-wZ0 zSIXSzysy%uO+fmP?$S%L_!)Jp>m-t|aJ?$Y?%nfg_WYt_$8dm4-6$@q zb}03}c=p>vUCy(UB){4w-3_*Ql)bh!y;l%+l8HL#FGYUWjrl4$p z&)VM%bVlxrXSwLT6F~V@%8>jv`I}{cgP%Zi^c2Lbme=QI=*_gzX+Ez$$G9hcH!n&3 z)8lWs#|kJQC!od5&{mHrgmo*MN3eH1j+@^y+F^#{d53Dq%}ebBn!u=l;%qc9N0z(jyL4B%_>T^#YR{ zhf<&D@Sy<1H28y_tSpNNzJC&9@Hbs^OWQ9k4 z%CCa1X#57wJnv5FCUs|T zsCV)Ip}Hql+q>HU{4goHU%Pc{6r(I(j4|&^h7A>Xb73ygn37IDOY^0Yg6N1Ht&i^* zVNhK=4yjEamct6_qSkuLEa-GT_tIc1NHI#^6FPn;KcR1TR)QP$qhRMv07dzi#&;B& zY?P+Rn^Ei`h!cKT2Yf!99qV#87k8{klrHy=(|2&QQ&Jfgbk|mzU>CQ@Ul6&j!}bCI zqWPDMgT*kVp(A?RyRB?~bF=EePN=^fdK{oLpuqCeMW4l`8CDni7^jy0Ug#4jU`M&z zfZ7y&LFQ$JfsDas)os@7K?9P|W^O|LyFcl^NIkQq?o2>eFLYa2DL6(7hekPS2j3A{ zD4AE^s01PaS51mvwo~&*X#oNgNyNQeZ_9sZCh@AHC*6}Ks)4?D_K zHe=3!gCG;FyHvD#-`n|Lhk5VCK-A1**$cPULxVRziXg=xaM%5u&>X$voYl(YterJF z%Z+Rq@>x`2awx-$B667!UoieYiZC0(IC#5?lWb7QMOs7qfUUy)i^B^KrRLwF^aC8s zJ^08uQx1GD?;7vld^Yk@^H#e|i&cc&20Vl8Gq&$WJWk5P3y#FqsQLkX(n~>@@e?kf zx{$XI-g%NieQW)nv|5#}Y8*F%=$_EHf}2prk8|6z_FnB&%)iAB7JPmQtrlA=Mc}*Q z;t$Txx4@@1J|KMpn9jM+?;0h#&;1;6ccZsSz45h`BWyzJm8Ij4-p-q|n-C@G($H8J zgK8uxTpDr-lB?^B`eEFIz~wazHsZy%Ruw)^p{(wjUr=!~IcgC*%yi%I?QrzEW~M+# za5l<>c`Pe7qDpd|Zs*Qx!=Gwv!7OBJ3XrdRT-Zl9{1q(97;$wdBmL~6s4XnoZv~Y{ zUN9*x#YDM#V;=H?^XElg-I>2W?&>hKfCT+Ciu+dE_|?~KI`TBe-o07N7_hF_wQ~!? zy$`9uh3z-k&WSfty~-Nb>F3J|M7CXeT|*CS#c*-`n;Sgu#QskRoBXvLgEWOv4`P=R zO&U;vk(;y~LG+lD} zTD)clu0(z7roY8Q@)+|pj= zdL*e9FX)+k82YOI4-MlpG*Ph>95?Pr4?6MD?;ChI5v}{mx18w|$h&eP2Vt}aZKDtp^ zdp`SwHo#xJXK_OFB84*`qTN;)3f8^wVjD>{CUr`aF*mIkpEkXwkF1&Ke)?k)us8Xi zO~ReG$=^9_$HXoF-2;m2Z*8>K7u9OeHVIdsdW6y)rbfd!f{Wa1Uc&FXfbXQ3J8wnj zvJD)_y^fTWtSh9yXfUDS;%s=J;6xHw-Cw|E^iK+oEpCrRd8Yqeddz>LQ|QKKvvhy) zSW47$=c`AG)wO@9IEA0KzD`-mvnIrNhu#tao;$l7bXt1*e?=(B@)_7NXT<2$~%R{o|rtb7H&u}{})6`=OgA{!Fj+p~V$V2dIR1_vK>q8&I)Ysc)}vbZ(c z(?zRE=og|pZxOHh=MiQzIf3%~z1X?gZ?=$U=2q0^i-p`P20+>@O4AaVWO!d9S~}W? zo!2b+ua}D2iec-B{(1VeGUuI#fwm4{o&0w?2P$xkX*=~Kv;yf6GjsZy3P3ZI&D zw$?{WMX7yT`|o7+BN9Vr!c<54yh+TMfiLXrMa zPnMk|UQzruW;AjE4J+u0`GU7W*8ZVW8@%cETI;r0z_Moh@##%DG!B9Dn~_{Kk!XqA4qzjt zOkE#C5vf`;o{EGH@a&S@Bz5Da%hIj+cvzU8(x_wb#$mar;hN@k(h$}ywcommzABEz zsoM3L506-GsFj@$0$g-6^_3tEwWwmAg6B(~-1SE@_7)saPld=s?e`d?M2bSEHv zE47G*oZLxpj77V+_VQ$I1Z|DQ^3&270tgND&x7cesTijE#IIqh%|c7)+5od93VaiY z0lMAf@<95Pw#lqk+Tx92?3ze?kHpln&y+UFTvxaxO(~CS{dNlE@Px`Q?I0IF0U>MZ=n>6y4c?kt^cDhq`@d9KurNV9R85?$Sda7-{N; z{EAPboSPBsNP9=G&fIED5^wDzCA-O+j3IMk7hvCNLlyc4L{Pi&26}EoHVuYI6*TGG z{t(M6GBj&q6@im|g8_EMV(rdy(FKf19WdssKj3ycoicu=I@1Y?-0e_t{6TMw~r zv-IKS0{#5(WG<|CL21^IC%B9O>X)^8)pCe~Y-`iDu+zek*V&{kGtt52M-S>fqm`Oy z?V1pW)N~ZEAicj`Bcn~vZ9H{Ft!lh=kE1vLS?uc6wlmDM9fJEK$bS@Dwt9&KS}iU; za!Ln`%=-}46|5Nv72}^SOPiE6lDBrSb!6aix(TyaHUII3!)Dg%-4Uo#g+(!VcN9sS z9}vS8aT?G}&hR)Z>N1g0BUqE%qf9r+sHtyIBq4;sGg+reK1OSlux-+o5<}>zx;K-m ze{%IE$UMnY@2DhXJPQGJ3o1gtE{UhPZU3E$ed#*mn5bSH1E7ArTmV5$Pg(*$Xn0k? zX^pWZbg_tzoU5p_QxSbWICUs;$!wf3o~GRz16*F6*6~(@ zp()(!7)1@5)ybriO1cJcq2do9EOcJ%atGO$@g}moZzN2*5x&1OuX#n^3z$(yL|=v| ziqSKhQr9M}vvwvi1hh4H!4jt|=fs$IFTH!HYj3apZNx7x+Ud(I zdwrIp4hYT~Ja1zW{f<`$bEtf|3_7KPjhJ_9--n#aiH_39j>kjZZ=s zB4LGUVdsciLuP$X`*Y%UZ-QIQn;zd9{qnNL_vfX*i?GR|>FWb#(VyqOzMqMWOc94& z?M>`it4?P{bf*e?xWI~WWjNi`r4-teG|pcIO?NEynK;aLBppq&A<|Og-!nsl{{i5_PE-H@ literal 0 HcmV?d00001 diff --git a/data_application/BMI/BMI_lasso.RData b/data_application/BMI/BMI_lasso.RData new file mode 100644 index 0000000000000000000000000000000000000000..dc5223e0f8b4ba037459234371fdfa3a1c0cddc7 GIT binary patch literal 3791 zcmXZbi$4>J!v^r8k{ooyVX^Q!oX|QUgpCy4gpk}*M7f(wW0#^@CD9SeZQ{gCC}O$H zDr`xb+boQA+=iJov(4^r@9+11|AFW8c|Okr%-Ol+Ka|-)nTePBw21k)&pg|`U2Xr4 ztOvK(Hy=Fz`ORI)X#MO?Z;Qz-f9x#UZFpxqoir}SqP85zT6PDvwrN~+^A3zrf3-8v zTpRuNwr<%n_5la4J&e2qO@mSflfyDO(~?M(6%Y;O%uKgLQ7W96^iul*rq=w|fxmvM zu73LTMR>~B(=ywZYbzKHx0D8ltiVuXiF;?@tC~hYpQyova@5!18$ckVXptLM?a#kKAbtM7iWx> zIv&DabQhSr2MgUh7Ty}6bo`JjDZy0!ik3Hx<2^yb}$yf-t( zOC7DYy_WI5HsHKKklxLMD|P{X*rH=nx|^on2$YsD5w~I=-OG0{B+f}1 zl>2d#{&CDG$E4>8XL|AljSt0nPNZ=ztqDSH$A|vwfrD?(=xm_S%Omf?%Z_fpy84qL zIzJ~5W0{dITK2nfQw`I0;WRbB7FVjEj`VO(s{Wu37gKR0vbQU>F?k{D4i0uIczlZ0HPV+yiY)(?FmJphrN@LE zT!S_2#9^wJtD@9%$A{7yUOtuQ7gFwpFj`suRL;4`JkxrFmk9Qq?}ztdOU~8~G4QbL zLyV@{&WdTHRq>VJ6*TUfYaw^qD1QBBFJN+JR+T!tiIwC6e21G>Id3Ce3*kqx8Cf)W z*9k$FUw{z%GO*&XL}ow$u^e0i_|{Fr$ev~4!*_%ScmUZvOAa1hMyUUiJLhGiF*Y=G z8g;jjyiGPkjXR+4D>nq-;8D8Nbe@<#@}JJ%oZ$1kQ$_R>6w}Z|Jv>f4^T!H*n2)mA zof>MIIi1~H{f6g*r??YP8}bwtD*sgnT<;eb*TP#L*>>KtkP;fFpsGCYu)1S-E?oV}#W# ztqb}LhLp|V0SwkHBspmpQFbqNroU+P2GK=g*)%tB++R9b?Z3^$^Rj$A0ltl_;mTqGm*i)}ij|scQr{P4(R6!)2qDkG*JvJ$k+Wgw@e~s+% zCX2kO=c?u4|G8<0AOefz)s3#Ch9{NcbbFl9^v3Xv?DiS@p1e+W5fUsw9P`mR9D z|J#k8-pUEgXq@p{5?0?AMR~sV026xDp+>%ZB|>lF&k}FKyJM$1{y|z6*ZUB2e2AQj z!L~o3KEw-~iOG&b{ki1j-zu#F6z${=+w*Ww0USKkaz|tP@dMFHOR$Kpy$5ub?j2c6 z`4M%{W}u)n3%EQyi9P`C>}Q4fF-o4!+~qnA+8!N%)NRjJ0z zZICEH&_Evr;z%iQPQr}BtcV_@za%WjaS*>V4XGtlZB2OQy5DrxagbNd`oP{oGjy3h zt@KK8JENAVGwR@#&eX=Eo+%3Bk`b^-N zN{@pmpBPbRzr25w%`cHw497|%;wjmFd;i~N(ci@*u&S^RsagxRm7djX8EGzX3JwtC zThotvqG4@@UjYCQ_I6&SBPHk5dd_Uoi$>B*M~cH<)7WD4<3z-8s0DZ6;X+$4$U5GU z3;Qs)?{9@qdmQi4wjrZc@`W`wBio_meBi8k{#;7LbGesBMt2plGRdR@zeMB0Yq`cN zA!Z5H0im-X^-^eYe_nFVs`ERFCCvPB0vL2sbfl^0-;70Nk1eMl&U5=R5c$B{OlRclU`o^xpjH{R<|^ zRt|Sr)|jNsiifk|Y2REV$?riUncIW$WoR-id%SM1bDhBwEUrK70o?S7@q}nVuurTX z2&$3%!udvAE=PXQG>W(Br zSOj@d_7S5~9+U;`uY{TM>&G-s@>6mko=R~(q4B>S51UD>v5g6?@SN8!hm2Kx<^Cot zjuxh1{y0Odf)d%nlj9xuHyRV)#qBez_H<$zhna}EN_bY0ZF0n5s@VBP_a72j`INY< zMOx=@w8-umsT2$B%*b1k;_IQ$UM!f%Kh(*fsJpxmo4O1Cu&%%DIY!p$!(5dWNGB>e zLEhbPBMcV2Vx3UMH5KpSNjMt)A8iHQ*OPcgB!B6~N`2$41eG}+gKhijobUw6Gf;Lu zZy-bcs`R}kI3r5d13D_FI|0@*H||^~c_L)1lBUD;k<#a>`tgn#JoIBAalsiMlPAB& zJ!OIdzD-{Wo?+yfx2%;>UkHWO!#=g(z`o7imw>1SI!SV_n>$o78RmDS`wDxx3BHl4 z%V`qz6ob}KCUYu>iCB3VBK0xw==?|$`ceXO{rqGzR30Nt?iM{Xuu7Z$v>=ivvIX@O z;qWHQ0!|0>^7xMRxG4f^2uQgm-EgNxJub5=WmR)?7^v3u5Rzxtn=A4cnf_MD)%+T? z5Mq@(Ac<2r*naCQ!UOROqe+bYe<3$<+shAyD$2Ok90dC*S4FhBy(#qPMUHBw9puXN zWY}s(3D;GvB!R3prw_kY3{rzc;^`8fcFxbfE}5qM_+~rnNuo?z zEyVSy?D`!NyW&J-r;kQ}<#eAf#0;r5n8;UAK$io8euvy-)i?;oG#8}+NEffc#0HL3 z2|eO=An?mVX*W_)-*5UJd5qD`x$o01(?%*f$+k_m?r~pH!t9w(k*YHaU}z98g2=js zaso|ENG8oU#U8Pj9i@$G?N0MR8IJ~m^lolVn2~J^=E(autrlgReo#R$Bs)1hb^uq= zzj+2o@S2WH)Fe^tF8jAf3(kUxc{#g4Ay8#n!p9YS82$4C#*y2goS+ldyLp2F=WaB& zc+LtT2xO+8@a$pE&mc4+&0k|KheLcFJNy!ogm~S>Nidxz%UnJ_(yC1XPNKQceV{xP z&##felM_IYT2{jE7_;~Nm$~vIB%!{qc&NC=md90TlqE)|{Y6V>IP3_;-)Z8syMrZ* z(_aR3A&Z|aGt)x_7Gac=H=ulPFy>Ey#&tOUttm}-ALJ(N@3_xpY7#q_%9tgaVrB|r zWgf2ymFbuiIkuHbvS(L3k0COiPq})BuZ=1997{qhvZV974nZ(d#n>C!S*Y47MOJPDgRX)@qBdb{T8Y`YNIwwZ1Y8b`&2-r6|?5o7w;W zPtMuB+1+mkV|_nqqRm31$|ZvE!^T)xkf z4o>^8S*XIN4{IQc9cA%5+2dxWkc}VN;db4}DR^BzBjlUh`Eow=nmj%d$oKbjvdrfr z0a@NhW(!sL%oMWABRhXS%t1E0dgYvI7GBG5Wv_?(=owDc=T(8%h2ulIbH-z!kXj;ipPD`bi5ZbKG%WZ}bW zaC+aC-Hx*JX9U&jiL(FwYp&zDqRr$Nx zbn(aO`b)n1O{TDVKX9r(=ym(cwm+$^Pg!Ah9m(eZviWPS^Ej24%D%3wuFI)X_mIsl zs`Dco|M?EL&*yH#EBloXdywzz!!Bg2SJm|EHosQoYi`S77Wv{|*}fM@*Du|3PQk4G z%)a-qN{?36&797wRr7y@s(j}Q+^$dM`#$It-2NWeYN%45k_C2sw`X_#HDC5wulSh= zugc{%R6Q5@NWibl+lzc#ANe9D!s+~9_3_=F&uzH(G`Ro{nXJCD`l5!@5yASWYxPY`;sjBar!+=zCczz}9TBr6p{O?eFI0@fx%)#yN z)Kr72eEaa>!#>FR{v+Sxm0Nn0RqvUeTbw%I$ol=9-Sq~y{X?~SifsIdkexrX$TkkR z9Vg88w+gEIfo%GDg+zty=f#^kr9_C09FTI<8T_bab|Q$khH;>DO#Nk&cgaxCeI9hnPt4X;bDhuW z`lr=$WIMmr9XD4$GaF~@e!ngo+&;J3r9Z3lZL1->Uw8#p$4lAbr&W-hKeyrQ zM=i)^FIDR`KJ0~WH+x`rox!fUl z1E;=o^kEHT+n;=Ur-so!AZxxZ3smLXDyUWu_VUeTRr*qOeWZiifA1kX zoO-{hy53ah-zup7{#+HfEuY)-I}O$3Rc(EEZ9m8s`6jRIaNi!GVEmte7Sf92ZNa?x zt?}lt_^<2oy!dZM{P*8DRR(lP*FF8T#KU@h49DrZ9@6{6^}*1NhxS~pd%q&R9IlUq z_DpCeK|8f0(bfUo#LZKvkA>^!2+vJ{=bE_r`szUFrO+b(r$ajto|^>ixzN_Y{qupo z0QpLcsMo{&2A~_U<@wN?^i*<`5nmB#Q7^|pi~1P_?Ko&r?kZ>}K#TGtpHty_Ezk|v zCiu{&!~N+zzrbHX(l~V-|6$Un*pKYjk?Of9x;^>HsnDWbQST%V&ad<1f?hTB%dvbv zxPBDP2N%gtQP1cHXF)q2#-9K!`bRailcC>v0-xstP5OfC^}u%nTyKEu=r3dkq~ZSb zSSmR~Bu}NlKX1Qck{A7CBD6;SF%9T?oVTO{|1hq5SzcFC%#Mc6E&V+iW_hp<)5OZ9~{nNxDEg|<%!+47O70Qq66YYxY z6ZL}e7S}88Z$^4T{UqrHTj+=S5%+DhE5$juPWv~|jR|>^^#RvuUr+Sc#Puoq?^LaO zzo6*XbiERu8_V@CB0Y}b@9UFs9B9c;b^dvL4*d$BL%&bTXSn(MQ+`qkt!Qt|Ptd+- zSL9RNf6z{7AES6kehhR&2PdDgUEn&OZv_qQf%>iGu1AP}v@7K$(Bghi_Kb0SX&Cn= zaN{0^ca!p8oDcI4%tO&$Vtz4Am^ZcknO}jui4U|R+D}}!$QS0DVq8KyitCE@jac{j z3iV-dAN`@{by7rrM|w`(-yl9mC{Bs_CC)46mpCryRYU!y&I5uZ55JB>w9jCkP^qPo zFQ92WjrpX8`z-1m{m(G3=jIp3jp!qwKkj$vS4Q#+;~R_{CjY^G9OXoN3FizA^@j1N zzDK@`$$mIK=6SR~0Kd3@iunS+Z!tTHahuk;@I0Sy6jJ=d`A|+=hrIvwCjO1q71~wI z8&M9lFUf=abMpj=Z{EM6}BDZx>b_B}i|V%!w-99*{)pFm#P$70-k z!uhU%{6omgHS|N&iGFQGmsoEo<@rj>KgL~*8#pieAJ2aP z$I&p};(A6qV!nlT!}w9hJy)DmFEGj{as5&~4ad{Fk5`anSN>dHO6v~iLq5g%#Cn#P z&(nU)^I^1pgt%Tn^W!)|evq^dXkOtts*j+&+&o3(2e?n^(4xOmev8j@e2gG{iSY&V zLp)a+)COzgX8Wd(NuER!_7>=Tf7(q=B82>cU2OQtJJ@TVAJizg|Rs zf%yf>kNX+=L+bN!G|3*QXYt&M@jyK12)GhXs8`XyFrJI~Jk^olKCkD(ba|Ul-wP+zD>2^TI;Hig^Un>2{7jHTiu%<>-Ld8*UHb7K7;=N0xVP0WYU zUy|&mC;r2~KMLrF550a*>=$nleawnymQ__=&+f095sMBfBYMF4O|#~Yp3nO4xOmY1 zK7EPqdw0pMolOH+|8Wf)qgVff=z&cI@6Eg7D5R@?xbU0mVTbn9{i3$}JF8dzlIZde zcdlCeWfjr=V~=fr{^?KI{NrPf?D}jt(Z_3Td)n^%f%WgV`^?~*i>w2M-%^+;5jw6Fu~y8(+EkiXDuu{eAV%D+-7X{H%T8!CR*=ez%YM?BllG zOdpSK{^0v#J|}v3U|{E+FHdFqIeFdI+YkPo=wrXxv8n0Bu|$`yxw`Y3k2jOP_HUSc z&)CzMevd3K`gYide@nb~S+DJWmg#TLbvs_Y04KC*uIX9H+N6C?hCfw$|@e-@ZjAKFni6|GI?$60F(d4)8-zW%hq$C<@Mt~3IBoU zA=RS~EI;xt)<3$X{}T(oWBk3hZg}TKqlxbI+=Nk|{4~bopS0kv@U&^5XK6J}jJ2&3J=DYKfegjsHVdJf-t>}HAlgT@!dSdI}*!bly9Q^86 z|K7sne`4h78=ifa+4sC%!Of?Z6CIrS(c|krU&8!p>nUq)UBuSc;lKNK#fm$>WcDkm z8Ti6Udx;+Y$1Cr<=m67CuiMsdSaio3MECC#Y&iSHCZa+5eG3SPkE zYpt3;ruR;|uT}hd@UFlsZ2pax@4fbnZ;3wPf6s;f^b(5?M?X07Ut_-B$o%Q%BQ{6- z4P*S2%{X)EZf3vI$g4Z|owJtc$U`;DzxiC@l<{#xVf^ DfzrVv literal 0 HcmV?d00001 diff --git a/data_application/BMI/BMI_rf_alt.RData b/data_application/BMI/BMI_rf_alt.RData new file mode 100644 index 0000000000000000000000000000000000000000..eaeb55e8e7eaa2c4500a1f3261e730905f5c8d56 GIT binary patch literal 3981 zcmV;84|4DyiwFP!000001MOQ2a8<<_KDkM5?!8Dz41yR4Ajw`gSsZ@NSj*5dLR$8@GS}AHT z=Kue_yEljXI(yEZ$2W6X{ylqk|JVNe@19M=q}d}Qvm=_O1+@Hvd@Yb4|8GGc{!gA( zpoQaQqd--l!~I6N>+ekGIh0Xo!-8Hv$b)utn9aEB4ns+IwZZGENUZ zrlmmDr+k?%GHovlR`DTw998t`73AvoX4^}4zgEMnajoWGb{rJjr=rb*A78u;uiHPB z{9f0O+u_^43)#wP^?S0AERKN_4*Jw6!i8*cf9&!%)$&r={mDY6`bgIfvg_@Fs^{FQ=_wUdvA68;WdGf*Taan~Bdfh^ zsP>&r7C*V>vrbt*tm@zCa>#;ee5=NfY`Eq8&MbIEA7Wf``Z<-|a%2kC__UiJRr74S z^tXIWvV&Y!K` z(|w-ncR#nsEw{_(!^er>cK=sp9q~F;$%|C6lh22_aOydO-Q$}DRpYE%^lLR#)0-;m zhis^JFGdx;$c8F%s=|i|Rr$&kZd*T8=PwnUmba<)_W@43_aF;imp@%N?fZdUP<20J z_WNc*6+Y61)p66Vbdd_;Og&U$*0@Y9CekGJ@Uw+Pyzk z?eBxU4zK7}_P$7!IIS9-#;@JTH4bKbZ!A-I-L9(1pX)t9t6|rDP$M|)eu-7^ioAB; zk52WTSHA<>wVyV7y>&X=B8Mzktsk?-lYQ=J_WUsG?;BL{XQ%p&YUyfm{=;sl#!t3TZGQMj531ZplyyFA^}PzO`>osLw_6^&#}{FBKB3yZ zWgq6isrz76&RtZ~k81ol9lk!*fU5gvAJ)KW`ZxNHVDAc94FC&;W4`lmQw*6Q&&$ES*-K>gB+0JWK^=SmBtgo{Bmz~GC%`eQ>hg0<9wDUOG zaLfKjmR;Q%U!7uCRUrHP&+LAkk{_n~T=sdOQ@(5E`W-9V@l@^4EU3npD(jLDA8vx( z^Tw)mMwNYz-TL+_WaocQISqZOW2HN;>g$|U{j2I{s;r+@!|HkC^m(F+omD%x%hj%S`$eu$Wq;(Be95hl^}RwB zIE`Pc;OphY@bx1XR;{mg+tKdvvxQxGuWI^o3ZG`fZTYd!j~uu~4zpqR{BXKmRM|KB z=z?A6*x5dJJG?G`y0Gf|pDN!OWy2}?u-W@Z)#S?*PUGKc{MrrCPraf)v*WST&%1rt z3%mVAwLIPK{&IzC{8$CA%AGCjzW-qLJao&wKw0NZvd^#Vx(94F+&Vw(f>+`|DyYhr zs_@GEFdM4L=~RAH<6AbI8do!gYTxnPqF1{i`<%?5ANKU?7QNa9r|mz?p2z-ow=Ou9 zZ@b{s^}}vE+daMrxAJ4RT&k`gZiU@>nOE}POrc7CWmbM|_q{Ro_6Y@n_&<4CffkOJ z`OU3u@uFw^cf7he{+kv5eHEw5fG&>z2I}y#-W$qOq3jRk2q?b=<@r#Kg>oE}9|q5>p`0ST&$ll^H_=ZQ#=lhK z-xKr%@Ashh@x9SdqMblY{X19!KcvU52Ko#vV~PET;dM7Xf}GP=aePC6 zLF%s(O7yEq!u$2yd->$A7x3@F^8m@m^It&yULy9-wF{CSQO=1x|77nbfiG;2a@6aI z&kOab8b7``4|qPpN&Zs}?a>dXLMiH-_~iO4(g#8PP=QaJzo;MN6Z+LquTiLPMSh}MV*4S~UW`BIK#6f@B$OC`(67<%q90;>x)4gyFDC#!5lWobQ=k;%6xj<) zs7Je{@N+#1G{vtj$@NAkF>XPe(nLSSc`uAZ?JD6p>IL7M&h-~0zd=5y0UgzO{(vtH z?K(-2yY__qoJ96SJEGmjK#BH1y`z4O)`5B`n>cw2DUK3fP+~l<=i29K3|)SV{yvqf zk0kloMNr~A!8m~ShxkqQY>ai4yggZ5hDx#<+6(1D|HJqt#6O(Rf}INVi{W|oD&f6Y zV!M+_F0==9Lv}#9&<;4?8~AZ){Y82CILP8JA3usnZsZf^ofyZuUzfv4`3Bkp{S@OO z`YHJX@EMII_7|jhLGcf0oF5qH`S``+JjRu&!gCrQ$_8%S0E>%UeF4oMVf_&Fz}7!p zANX~(59KdLaTDbh<0Hmx^g}WJVLU=Vp?L~?qQ1yqfNlgD^9;(*Vu^f5Xr5p^M?D~a zqQ4+tqP?5Ae#QAeKnEge{SotBah-t|lhzURL!*3`^apg(It^t5JSY7@DduNMc`np< zpYIkLts@5UvVhHBYzN~-^~82TlAG*-{X>cIgZJ|Q%`-8-K>bb866?cc5Ap{n$qvH! zwB7>We4Z`(Lq5fMBYgltet_|lU;oY^|1E(M{R{V1qJN3~iTR5-FU7n?(3hd#8TlK< z7icf$DJlIB-pkA%izq&!+~PWm`x3#A;Qc(o4+HcbZ;x_41ob6QqCJfAOPuehe_U57 zZvlRc;*c00llFjBqa0mWO4M^ThhOKcZ3%ooJ{E5H6l$i5=KXjgH*hysEa zB03PXUq^dTej9iO3H(9K8tq8xJvU@;NK|Db?*lO z@w`Gqzs7yFs1Kh19!dKnBYPm<~?du6oVi+R0xK7@9~I7D#``W4T0DUapHP2S%CZFKI8c_8X1s`JlL z?(WZ53XSY8p6h714+J794-(J&F&^Q3!nj`zcw~@<~MY1fTa#4^pg~CV~Ko= z`JK4#vU7EDpV<9=IazPQxn$Bl9M=)?9I%$-gPjvsLWyxn+_$0~`R_1!RsUQ4#mal1 z+e31fzr6X28?G!Qy7$!;Paaz_hv<@nKkU6`Q~}YYyO*{sT>f*SL%XgY_Spl!A-eC- zs~&mcwXH<=ANlfzqvcl+onJZO?C2*uS^xL#TK&^|YluGecYD_83mKhv_1d1-UAB$r z@E4_Jy%vuky59wd4$qwM7ovl6_fOmVqjOn*2R=RY&v)Nv{5Jf4$3vTni7vZg)`8;i za-w?;dHu82bsLGU(3%afweKx+ekmy0plZxgndY0(ZE{~3G zFP*~l5gi-3XEW2^DGP?*-nwrclc!kwXnLe4(M9!pt{MGmFZO)hWf!a+-$wM{TTY(+ z{FVoqeeV6}rn5G^N%YCvk3CU-crBBE;X9SvSBzo$oiO9ggU`Ie_+PQT{+z&AqWgT% z-g@h=`ZE2m+Vj=ZOV4Ed3>nz}=uw^g>+qr0(&g_CXY!r=(L35B7qaK!$fi;MV*aKL zn|SBsyZ*rRxqJE3fd`%=y60nWT(*5=C(~cQ1H(h_&!zr855L~<_Q5Sge?57`x+Uvp zQ~UBUueCov{>QBUcP_u}d!6qwf7HgUy?@I?L=XLV+Kt!F+RNm9Yj<9-<4K|iO#FQ2 zt|QZ#eh*l<|{3);P z7nd))w3YF{vG|RfK4A76R&v_oTJ1_^uh41ZhVEqim+#Hrdd`RU6CJ!_Rcyf5H?sC$ zhECt`kMoG`+qtH?EL_C+nY&=uwkt<5eQw=%`-qwZe|~#?L0zPQ>F>LD-Tcg+4b=WX zeqC*OzhBey!qV|?yfE}#qI*4D-nzPi^riQF^}OLT_cHzTJKSgFwld~#6)Q_R15?<1 zt=KWMIoQGC$$%Hf-PvCIM`qteizeUvA&VcSuV2{j>W#NC|M~L3vo)7&X8OAOzpHDH z{)G5Ha^Bw;{B1GCv#S5xJ@~FCYM)~KR&3fad=Q&|k@hjs$IfN`(f6WD&K&XQBTQen zJf#i2u8jISy6@t*|Fnn2v(lYAhiu-=`0evS-l2zgvi>T{KR*24i$7!iZy3LO(!VKw zRDE{mu$Q;bT}sab_dM{)tR@!!`rNVgr4WlpRbQ^(H*(O9^O?RTEnhb<*2LN`9sA0G zt<2vBEm+>ZzwRZX%l6ki+Iz)*>hG`Hq93oW*d|;HC|okXt>w5=m&AV|s0=Mx);4cJ zdwVC)!M2vpMeWT%MLIg?FPPW5q`BoTtRYxo&o;Bq62~Ij69t zVn&vGZktkwnB11zhGA?r&D!;2+xPr_&;QT!dcR)J8=SRq-Ty~VbkQirY{Zn~=3TOT z$H3j5qdRu=bhz*SEqTuF^p*`fe+bGga2w3@eDJr^F_`X5{mE;wr7*z@>eUx@Wko#Ir|Y}dF*cR5(!?)L>2Km| z6C(S-p+}kBhaTRrwS#nZ_j|8FAg+>tCy%ag+Y=Qez53e6Q6nDAV%P0~2_7e($yM5m zmAe|+-MTJRnW+kJCMqRPQsXONb=qYiw8u<|R$loyn(B zD#B>fY+Oeb`%NzwNfEld!fLyB6mG;?YZ_`P{d~eZy7~nwu!x;zUEbgENqco9F22GD zQxqM@YaXfP^0zTrp*4K-bCX|8J&NKwT*3#0+w(CGa%oT+heZIujiQ!kZ>EUK?08n~QbVxu)Z8a`$K?8?5nh_BqSp*8oolW^&hlCUes!4?e#<2b`Z0i0r?<1T$|dfI5yPQUo?%q8IlU z99RrzEmeIJGA2cYb0XH71q87{)?ySQeJsN_OY9B^cN@_J!Ob#WFmp*x&w@I6G|D!* zfU+%`LkX|c90$Q^nHIK;6`}!KJ^KARVilWeyDSNiugqNO(w|~owW5hU8o9_<6CAoEp54Ob3C^VF z;lXB!FH@q;hcylClq1Ml&t}C{|J($oeM?Ret*yHsbY?aI91^D++PHjs=9Y6D3gA4v&oM9GuDAdC)sE(dC_xueCEg!m@9F_ziOFpqc5;qw0+k&Ek5TfwFq66jUU_yOT7AM4Ym@vmFb5Mjw)BTkx+aC1T*#4wE{G3`8Z>#*#^B6NcsZ}$kce+Ml7oA z8l;AmQ6sqQK?WtHi}}6?6=GOH559-g#_x0ur_rJ};5m7C{~ zN7G}&Mq$!k|8pbsL5;(d^b`#fPUC*6i4IwPxj&r>FXPvULh9E_B!zR2^4Y+v;E+Ve zUKVu~LhuM~YWxsXmSmKOZj`mdiuem2PI1a2Bs`)U(Y@Weyq8N$C2f+;{J zWKc#u5UxyNOHF51CfwVUws5e8kta@WR{0@CpXp9>4R8eihFx-fD3cu=oHD4tU31T< zM(`00BmrR~PUW2knZlR<8iCr;g5E8h+*eU-ok*n#oyW>)xL%?2(Gl$+ekF-f4q%4M znQ!KzYj_VQ_%$=f(SnksMqZf(sE}cVC0NmBE7`bCp|S=jm_juJyO3~)7Oh~Igih?A z3D*82P|~_2*9p6*RgO#N3yiMW(4M0_G>p)5*QaJDZ#*!aDmtB{gq736t}j&(1<-n`Ihw4a&zTWilU5M@hKl z%^r=?tQ*u!aL@#}W^1BK^XsVqr0srY;{dp6EQ46{Fzm%4kGS(y*M7?_&S2(r*_#mg zc3Osa4F0yGI2mm3cRa_~z{O&5$=yy5>RSA=_ICe$e%xjEiN|$j%8N>LxYfMyzmBBN zeR?i-Xi?ed;u?M{9=>7mkfC!BOhET>t_dVqMD7+Ud`F{?1rF==6LTW0LEqPD{^;6s zf$z;L2%t(3a!j=4v+OSi}Nu2H694_`V>rjj-tCuKN+7WoG#L)Ape5#wH`qpUdI z6V=CScaFCM23cX4Vfad!jZ!V|=Ymc`+@<^0xmYchyT=xFuCq3(v)W5e`Z=%={^OQs zcel;GlND{MGuYQk-u(SWvcLK+pa0)cRSBaTc6)T!&45AdwD7X~b0oBtY{+`8KKK%! z1(aBfKj$<}iK2o7)!Gassf$C+=H0JZJv4 zO{xt9eFZBZ|A+ajt|N+ozf-(%o9NAtd&hV7#2O4p++&Lo?w1eQjDveJ)MNuz5IHKH z8jMcALUa#8)!r$?_wuvqpx#1?b>-R0%^dbS085chyVmt$KJg9Iu4Z=As(tS@Q%2M% z@(Z|`C}|jQqC^?K-MnZR13jT#ryw5dCK1-L(*V6;cz?mNS+W?SAKO0+4;&}AKW01@ z89xBu&$zPIu9|5b;0$PEk(T4GjrKo@!D25ZVcQ4&XKqotR;J6efO4HxqbkAf+0(R0BEMA9hSaQZ>=gOD!E&y2Wlj&J{+x)4D~y+yH(BW7TJP$z|f zb4h&__vBzQSng`7o)PXY4EX#Dc!=1ZQo-!6Ui!0Y9v>YV-aTJ&KXK7qr8QZ&>}1oO zA#B%J*V+!6i$TM#3r19O74Pi&k696w(D7sQN$&p?y|8*|Sj^2_jjpho44C^zVlaMr z?Gi9PjR_%AoakpLQH_g@vE2Oi^O)`9M-&~8Z=WeVv1wI;GZu|JAys1}Zy(4bq+KHK z{h6t5;)Ei_LSR_MDb;}$>1nvqMs$139!~=9vYyFPQur&ipJ0_LUs!!vvcWdlZVP5! zwxg4wMHF2L?a5BOui7Ym;j4A)F+3r>u7Mem_24~EBEPK}&v)Q6RQL9hVtT+asLtHG zlTq})y>f~A;eYejJJwtd4PU<&_VQaHdFV!>F-v%7eAQ(!ec7rwRMbZD<5D9(b7Pn< z!cSn#1b0}EyHY-f1`+iu}aMuM%wVM$eg|Y1FZ(3%KwCh@8~fMDy|Y9?YP{YtBcDtf2%vR;+5jz z9D};$978zXw*HmWrKfL>&;NZwWxdbMu1(K$-qVdqO;g188y1sSUaOLG{NSUqUh@SL zw}42(;Gr+?3MS+?9Vv^BDs@Ib3e7^kcLE2TaRJ$;@sI0%I65Eq%b8^HV!&nh8E2Js zGMNTWi>v7-|Ki$R|8d_RNd^mj?YUFmG`%u!$+l#+9OR}tk_Y~{9(d&xt>L%>2UF#5 zNwLt_wJKIf+fD6%fURo#m$5<|rf4%ivNs^6SmfeG{D%X4@m7nxqJhYm5TM_Oi) zJ(n-R(xrOLKPbgP;5sgEG!e8Hh33}A-aJQ~>`EJwUv!aAc$!OQe-5A^QGVL7w3q0#P z!eE=`7~3TNy41w2IP?3iRTHYA2Y#YG?w19lR`H!%(@uHJdQZ5h2ynJ3jp(dCLzzS; zhqG3Yi#F?$CorGh^rR*3tW@mOZ~C-(+L^_AEi6paSR%V5VP)9-JHQj}WoNZV9%Kwu zVgI+ne^NItP@jH|Vt@{ZOI_}rb_j*GwAF?=zXVxvY3bSqH?KU>?{Fu0o%v@JB@|HU zCx=2gmsaiO_qcAE(u=UFF20_*m&i-lllP3>r^K7~tXE~-QM_xLb{*D31r#Sq@$Xrl zZ~c*6*ZhqqNIs@cs3qyV0!wFfUQag;6s; zH)3z|jj5n7n7`QMx5Qs{IoipmeA5ACGVIrs1);y}@V{@j?zyml@Wsw3P_6zCrPIRS z)OtO_ol!|q(WBg~D<2JX+UL#_u(czS`Dca*G%CbvZC@i~^8D&-(gS$Y%Wnfm6r4x` zoI3ZOGxWz#@Vez9SM*eMzVfkPy!hE*@_I>`7}YpG9UPYdjuRHcYVF{DYajefqQ_L< z9CPVv?9@s4WX#MKEd0hvQq6TEUljxCq!^o2^*(^(Kc=;4zb5KQx~?+e6#{Z;Yllyw zwM}*9`$F#c{XR<=^Dm`$a6Mk_eibGe8#&9xFK56$1lveI&5ourcM`hg`2}G~6B}m@ z^R>LFiPg9VVCd|s#u2aDFL{w@E?;wLlIwU`bZ*mhv-GoqXK<6N;@rcO5;)fd7$;r8 zhXUA7EX%-~1mb&Mk{?;>VJSg)ftJJFMD!1&y}D%%FI{HKSXOR-!L1sLsAAVgiZn{L ztW*mtZoPtIc4fc;aau(<_VaMp*WiXCf{*O%2gMEG_t6sT(pEhP1ECuVAl|6b83P8B z4Sybzv=uB9z6V2EZwP8peV<2rQcK;cJAYQ-zW*#SNn~(v7lkwaYuQG`q}~2Fx@A{e zcxxGbpYE958g6Vsnz7yW+*G{?mt_@ zw4s~hhvJ7g7N?3DmWm90HQ{l~wL0vFyv73+7`#eT+6HO^G8Y6;#Z&p{MeHY`*Pf?B zK-I?!rNMS+|2Eeil6IS;wxCS7F4X$(enX7?E6hvZTh98aev2mR9w5Y+K5G&eycKS4D@V>2*Ua1ZJHL%;Q)&AmZ=IqO)0CO%ih2nAP?mD`Ih%yT z^oGwGL8`E^?}AGioyK@ksoux}!PMi*HtR)bEuVW%#`~>J>jj9_?<)BjE02%F-25oD+d^DzxZF!R`r|Ib zbV=FlM1`;JP|a+kk^N|!-&(9`{R^|FOW@_fnB0L^N-)fMXHo6@9|M;nJ7 z>j-0>Opza$XqmFot*v*wc^GzB);8D9=aI3)g~TPnLbayhAGuV34+tlWq<-K-ok~|1 z@C!f<3f4$yzfIl(UveZ8n_2I(7jW3+scKo+5c#1?ohrM;`}!lgI!ZZH261pn)8GzA z_tlhkKKVez{;b_J9r5mI@6#s^(P*?jj9FeSD_O{IH?6O82xY{NJk8H82rb^NJr8;R zc-F@<)FE_gye9tR$-aZx*QfuS5g-m`MEV_6hP+!=|LOD0qF}~QWsRG?*|lP4Le%L$ NF^GBB?7V*6{{VGn-_QU6 literal 0 HcmV?d00001 diff --git a/data_application/BMI/bmi_pe_linOrigin.rda b/data_application/BMI/bmi_pe_linOrigin.rda new file mode 100644 index 0000000000000000000000000000000000000000..9c84cda1f70a8d2f90511040092ef63f6107ddeb GIT binary patch literal 1622 zcmV-c2C4ZUiwFP!0000016|Z;hU)5H$q^twCH`Eh+^IRuQEZsVI&tDX2&V7w|9yh9V*uih!|a(l4EJ=EHr@ zJ@?bS=RUtDL>lR39%)V@krt2)jSNW(4E0;11^Qt?G9sD%b)FQjpNsTs3wSHaUs>;p z19uh0>)UBpa1X8RsOk!ZaO8w`zd;808_&=p+%w_x(}9buu?OG`I*9(=z5$$(dDHr= z<=~8JW%0Q|aN9x;kp*UhL+(}D+1vn!sb)q=?t^hIV4gPZ2)=))|CiSWu$Gjst>dSI zb9Um7hkNb;U#wF_?idE=qGc)b;BJVl%BC!HH-ei~u01O#hIeIabZbBk#I{;KrH%o3 zS9EV$MFz3mGcVp$4EC*OTdi`s!CT(HN@q*~Us$n;+8_Y&ks#Jgp@6$(rv0CPjW2Zmky@_Vm<1(62NOsfdPGK**g% zQ;sxp;?(CKf}>loA@SK=uxjKt3``3l_OrLpK3BtgVAkP#A0_CMvIN;b zJ^(j!-O0TLbokchd1%A*|G816_lv?l)}!ew9kP;al*O8;TxV9fY6p&<)=?1Na;JxSAM; zK|Jr**Ae0d4$J6{)h}Z3Pq&b2+LaIwlTTf4%7n}2{*1GoBY-$?*0GHW_qV#JWyKK? z?LR{MjWQ2*ZMeY}yQlCii|wpc4S_!QvOdi;8{=Tge#MV{81?KgD*TC)I)h@uP@~64(2O!Prc3qsg<^SZE zCdJb}m#3!g{GXpqrv|#*tHI@Uk@NQrf|GcohZ$G}*oF0K=d!_1k1p(b>kZ!twSVEZ zE8vV93|+5MfL*Qp>PMpfLJAVlFjGwwXs}L+ZC&z-q9xyl>40I~M zx5zp3X_+CUt#RAPfqGxolfJ}wCqxhXerb3o11Bh?t#slAgm$q`=Y}qTyQb;SEZ;aV z{jUc}cD6%edbB)mwn3kt>3P5FQ6P34Nf0m9-=pusYjxyR2)=P|ynIvjw;zdAd&#*m z3~rj_4%?Me;HkSGZ8eF2@KZNK#_=kB{z|onqmsdx*nU;H^mm}?)xY|CeujGsp|erU z!=t#2e3*V2U@c0ymUtMRn$-n+e4hg@Cc~*k`$43uZ1&omgOt|1@k)Xf+&+?jebl2F zf|1mwcfC&Vs+UY(C+q!uW>)jf8f!=_51RDG%D`1T7`;$?63p6uXN}>w-gUY0!$c?0 zE1av|-*JFPiEY2SHXFQ2m27FxDfrn}Gee6K^)81Ta}Ff|6*bXDZ9nLH#i!F@nhKF- z^FXqF0z6uHeFrVf!5&=g#iu_7f5$MRHmC0^BAa5E3qRV& zs@<()SZ85$d~m88VyoW|U8B;#`OR;&=8yg0?=nkL)jj~B+k13G8v~bId5&L34B$E$ zeNJtL=LrvVGH3caIIBko{HQiZk$~9|)a$GzM$M_?k literal 0 HcmV?d00001 diff --git a/data_application/BMI/bmi_slection_prob.txt b/data_application/BMI/bmi_slection_prob.txt new file mode 100644 index 0000000..6109138 --- /dev/null +++ b/data_application/BMI/bmi_slection_prob.txt @@ -0,0 +1,88 @@ +"" "prob_compLasso" "prob_lasso" "prob_elnet" "prob_rf" +"Bacteria.Actinobacteria.Actinobacteria.Coriobacteriales.Coriobacteriaceae.Asaccharobacter" 0.19 0.12 0.53 0.11 +"Bacteria.Actinobacteria.Actinobacteria.Coriobacteriales.Coriobacteriaceae.Atopobium" 0 0 0.23 0.1 +"Bacteria.Actinobacteria.Actinobacteria.Coriobacteriales.Coriobacteriaceae.Collinsella" 0.22 0.12 0.78 0.05 +"Bacteria.Actinobacteria.Actinobacteria.Coriobacteriales.Coriobacteriaceae.Eggerthella" 0.14 0.12 0.61 0.1 +"Bacteria.Actinobacteria.Actinobacteria.Coriobacteriales.Coriobacteriaceae.Gordonibacter" 0 0 0.24 0.07 +"Bacteria.Actinobacteria.Actinobacteria.Coriobacteriales.Coriobacteriaceae.Olsenella" 0.01 0 0.15 0.09 +"Bacteria.Actinobacteria.Actinobacteria.Coriobacteriales.Coriobacteriaceae.Slackia" 0.02 0 0.32 0.05 +"Bacteria.Bacteroidetes.Bacteroidia.Bacteroidales.Bacteroidaceae.Bacteroides" 0.35 0.1 0.7 0.06 +"Bacteria.Bacteroidetes.Bacteroidia.Bacteroidales.Porphyromonadaceae.Barnesiella" 0.17 0.12 0.69 0.04 +"Bacteria.Bacteroidetes.Bacteroidia.Bacteroidales.Porphyromonadaceae.Butyricimonas" 0.11 0.06 0.6 0.04 +"Bacteria.Bacteroidetes.Bacteroidia.Bacteroidales.Porphyromonadaceae.Odoribacter" 0.15 0.03 0.72 0.05 +"Bacteria.Bacteroidetes.Bacteroidia.Bacteroidales.Porphyromonadaceae.Parabacteroides" 0.26 0.08 0.63 0.03 +"Bacteria.Bacteroidetes.Bacteroidia.Bacteroidales.Porphyromonadaceae.Porphyromonas" 0.03 0.03 0.17 0.07 +"Bacteria.Bacteroidetes.Bacteroidia.Bacteroidales.Prevotellaceae.Paraprevotella" 0.09 0.05 0.52 0.03 +"Bacteria.Bacteroidetes.Bacteroidia.Bacteroidales.Prevotellaceae.Prevotella" 0.2 0.1 0.56 0.02 +"Bacteria.Bacteroidetes.Bacteroidia.Bacteroidales.Rikenellaceae.Alistipes" 0.57 0.3 0.87 0.16 +"Bacteria.Bacteroidetes.Flavobacteria.Flavobacteriales.Flavobacteriaceae.Capnocytophaga" 0 0 0.15 0.02 +"Bacteria.Firmicutes.Bacilli.Bacillales.Bacillaceae.Bacillus" 0.01 0 0.29 0.05 +"Bacteria.Firmicutes.Bacilli.Bacillales.Bacillales_incertae_sedis.Rummeliibacillus" 0 0 0.09 0.06 +"Bacteria.Firmicutes.Bacilli.Bacillales.Staphylococcaceae.Gemella" 0.08 0.08 0.39 0.16 +"Bacteria.Firmicutes.Bacilli.Lactobacillales.Aerococcaceae.Abiotrophia" 0.17 0.11 0.58 0.05 +"Bacteria.Firmicutes.Bacilli.Lactobacillales.Carnobacteriaceae.Granulicatella" 0.08 0.07 0.55 0.13 +"Bacteria.Firmicutes.Bacilli.Lactobacillales.Enterococcaceae.Enterococcus" 0.03 0.04 0.36 0.07 +"Bacteria.Firmicutes.Bacilli.Lactobacillales.Lactobacillaceae.Lactobacillus" 0.08 0.02 0.61 0.11 +"Bacteria.Firmicutes.Bacilli.Lactobacillales.Leuconostocaceae.Weissella" 0 0 0.09 0.05 +"Bacteria.Firmicutes.Bacilli.Lactobacillales.Streptococcaceae.Lactococcus" 0.03 0.03 0.42 0.04 +"Bacteria.Firmicutes.Bacilli.Lactobacillales.Streptococcaceae.Streptococcus" 0.07 0.09 0.58 0.07 +"Bacteria.Firmicutes.Clostridia.Clostridiales.Clostridiaceae.Clostridium" 0.81 0.52 0.96 0.24 +"Bacteria.Firmicutes.Clostridia.Clostridiales.Eubacteriaceae.Anaerofustis" 0.02 0.02 0.37 0.05 +"Bacteria.Firmicutes.Clostridia.Clostridiales.Eubacteriaceae.Eubacterium" 0.1 0.08 0.66 0.06 +"Bacteria.Firmicutes.Clostridia.Clostridiales.Incertae_Sedis_XI.Anaerococcus" 0 0 0.14 0.09 +"Bacteria.Firmicutes.Clostridia.Clostridiales.Incertae_Sedis_XI.Finegoldia" 0.09 0.09 0.46 0.04 +"Bacteria.Firmicutes.Clostridia.Clostridiales.Incertae_Sedis_XI.Parvimonas" 0.01 0.01 0.27 0.05 +"Bacteria.Firmicutes.Clostridia.Clostridiales.Incertae_Sedis_XI.Peptoniphilus" 0 0 0.08 0.07 +"Bacteria.Firmicutes.Clostridia.Clostridiales.Incertae_Sedis_XIII.Anaerovorax" 0.39 0.2 0.76 0.05 +"Bacteria.Firmicutes.Clostridia.Clostridiales.Incertae_Sedis_XIII.Mogibacterium" 0.08 0.06 0.51 0.11 +"Bacteria.Firmicutes.Clostridia.Clostridiales.Incertae_Sedis_XIV.Blautia" 0.12 0.08 0.67 0.1 +"Bacteria.Firmicutes.Clostridia.Clostridiales.Incertae_Sedis_XIV.Howardella" 0.01 0.01 0.34 0.07 +"Bacteria.Firmicutes.Clostridia.Clostridiales.Lachnospiraceae.Anaerostipes" 0.04 0.06 0.26 0.14 +"Bacteria.Firmicutes.Clostridia.Clostridiales.Lachnospiraceae.Coprococcus" 0.19 0.14 0.71 0.08 +"Bacteria.Firmicutes.Clostridia.Clostridiales.Lachnospiraceae.Dorea" 0.45 0.26 0.82 0.1 +"Bacteria.Firmicutes.Clostridia.Clostridiales.Lachnospiraceae.Oribacterium" 0 0 0.12 0.09 +"Bacteria.Firmicutes.Clostridia.Clostridiales.Lachnospiraceae.Pseudobutyrivibrio" 0.02 0.02 0.3 0.05 +"Bacteria.Firmicutes.Clostridia.Clostridiales.Lachnospiraceae.Robinsoniella" 0 0 0.08 0.09 +"Bacteria.Firmicutes.Clostridia.Clostridiales.Lachnospiraceae.Roseburia" 0.31 0.17 0.77 0.05 +"Bacteria.Firmicutes.Clostridia.Clostridiales.Peptostreptococcaceae.Peptostreptococcus" 0 0 0.17 0.07 +"Bacteria.Firmicutes.Clostridia.Clostridiales.Ruminococcaceae.Acetanaerobacterium" 0 0 0.11 0.05 +"Bacteria.Firmicutes.Clostridia.Clostridiales.Ruminococcaceae.Anaerofilum" 0.04 0.04 0.49 0.08 +"Bacteria.Firmicutes.Clostridia.Clostridiales.Ruminococcaceae.Anaerotruncus" 0.2 0.08 0.63 0.03 +"Bacteria.Firmicutes.Clostridia.Clostridiales.Ruminococcaceae.Butyricicoccus" 0.2 0.13 0.67 0.04 +"Bacteria.Firmicutes.Clostridia.Clostridiales.Ruminococcaceae.Faecalibacterium" 0.16 0.02 0.62 0 +"Bacteria.Firmicutes.Clostridia.Clostridiales.Ruminococcaceae.Lactonifactor" 0 0 0.19 0.07 +"Bacteria.Firmicutes.Clostridia.Clostridiales.Ruminococcaceae.Oscillibacter" 0.54 0.21 0.64 0.13 +"Bacteria.Firmicutes.Clostridia.Clostridiales.Ruminococcaceae.Ruminococcus" 0.3 0.17 0.76 0.08 +"Bacteria.Firmicutes.Clostridia.Clostridiales.Ruminococcaceae.Sporobacter" 0.04 0.07 0.28 0.1 +"Bacteria.Firmicutes.Clostridia.Clostridiales.Ruminococcaceae.Subdoligranulum" 0.18 0.09 0.59 0.1 +"Bacteria.Firmicutes.Clostridia.Clostridiales.Veillonellaceae.Acidaminococcus" 0.78 0.53 0.93 0.36 +"Bacteria.Firmicutes.Clostridia.Clostridiales.Veillonellaceae.Allisonella" 0.77 0.54 0.91 0.39 +"Bacteria.Firmicutes.Clostridia.Clostridiales.Veillonellaceae.Dialister" 0.34 0.18 0.52 0.04 +"Bacteria.Firmicutes.Clostridia.Clostridiales.Veillonellaceae.Megamonas" 0.39 0.26 0.89 0.07 +"Bacteria.Firmicutes.Clostridia.Clostridiales.Veillonellaceae.Megasphaera" 0.46 0.31 0.79 0.08 +"Bacteria.Firmicutes.Clostridia.Clostridiales.Veillonellaceae.Mitsuokella" 0.2 0.13 0.61 0.08 +"Bacteria.Firmicutes.Clostridia.Clostridiales.Veillonellaceae.Phascolarctobacterium" 0.23 0.09 0.73 0.07 +"Bacteria.Firmicutes.Clostridia.Clostridiales.Veillonellaceae.Succiniclasticum" 0.19 0.11 0.72 0.06 +"Bacteria.Firmicutes.Clostridia.Clostridiales.Veillonellaceae.Veillonella" 0.31 0.19 0.84 0.22 +"Bacteria.Firmicutes.Clostridia.Clostridiales.Veillonellaceae.Zymophilus" 0.4 0.3 0.68 0.12 +"Bacteria.Firmicutes.Erysipelotrichi.Erysipelotrichales.Erysipelotrichaceae.Catenibacterium" 0.26 0.13 0.74 0.2 +"Bacteria.Firmicutes.Erysipelotrichi.Erysipelotrichales.Erysipelotrichaceae.Coprobacillus" 0.2 0.07 0.46 0.16 +"Bacteria.Firmicutes.Erysipelotrichi.Erysipelotrichales.Erysipelotrichaceae.Holdemania" 0.23 0.12 0.74 0.06 +"Bacteria.Firmicutes.Erysipelotrichi.Erysipelotrichales.Erysipelotrichaceae.Solobacterium" 0.13 0.04 0.5 0.02 +"Bacteria.Firmicutes.Erysipelotrichi.Erysipelotrichales.Erysipelotrichaceae.Turicibacter" 0.21 0.14 0.82 0.03 +"Bacteria.Fusobacteria.Fusobacteria.Fusobacteriales.Fusobacteriaceae.Fusobacterium" 0.03 0.01 0.5 0.08 +"Bacteria.Fusobacteria.Fusobacteria.Fusobacteriales.Leptotrichiaceae.Leptotrichia" 0 0 0.09 0.08 +"Bacteria.Lentisphaerae.Lentisphaeria.Victivallales.Victivallaceae.Victivallis" 0.01 0 0.2 0.07 +"Bacteria.Proteobacteria.Alphaproteobacteria.Rhizobiales.Methylobacteriaceae.Methylobacterium" 0 0 0.09 0.08 +"Bacteria.Proteobacteria.Betaproteobacteria.Burkholderiales.Alcaligenaceae.Parasutterella" 0.19 0.14 0.71 0.06 +"Bacteria.Proteobacteria.Betaproteobacteria.Burkholderiales.Alcaligenaceae.Sutterella" 0.17 0.07 0.57 0.1 +"Bacteria.Proteobacteria.Betaproteobacteria.Burkholderiales.Oxalobacteraceae.Oxalobacter" 0.15 0.07 0.61 0.07 +"Bacteria.Proteobacteria.Betaproteobacteria.Neisseriales.Neisseriaceae.Neisseria" 0.04 0.03 0.44 0.06 +"Bacteria.Proteobacteria.Deltaproteobacteria.Desulfovibrionales.Desulfovibrionaceae.Desulfovibrio" 0.04 0.02 0.25 0.1 +"Bacteria.Proteobacteria.Epsilonproteobacteria.Campylobacterales.Campylobacteraceae.Campylobacter" 0.04 0.02 0.29 0.06 +"Bacteria.Proteobacteria.Gammaproteobacteria.Aeromonadales.Succinivibrionaceae.Succinivibrio" 0.03 0.02 0.27 0.09 +"Bacteria.Proteobacteria.Gammaproteobacteria.Pseudomonadales.Pseudomonadaceae.Pseudomonas" 0.16 0.11 0.61 0.11 +"Bacteria.Proteobacteria.Gammaproteobacteria.Xanthomonadales.Xanthomonadaceae.Stenotrophomonas" 0.01 0.01 0.24 0.1 +"Bacteria.Synergistetes.Synergistia.Synergistales.Synergistaceae.Cloacibacillus" 0 0 0.28 0.08 +"Bacteria.Synergistetes.Synergistia.Synergistales.Synergistaceae.Pyramidobacter" 0 0.01 0.2 0.05 +"Bacteria.Verrucomicrobia.Verrucomicrobiae.Verrucomicrobiales.Verrucomicrobiaceae.Akkermansia" 0.15 0.06 0.44 0.04 diff --git a/data_application/BMI/boot/BMI_boot_compLasso.RData b/data_application/BMI/boot/BMI_boot_compLasso.RData new file mode 100644 index 0000000000000000000000000000000000000000..af312d4b11d756e01855454bd72e45681b866a1d GIT binary patch literal 83303 zcmV(}K+wM*iwFP!0000017y8y%#ww zGvHmu%fiC4fMo$EE6W0o|NLJTjwQZMdL}F^>}>xLSXtOvc>eQm!PSwG+g7cK+_c#v zc|NiB_zq0XX`TLJB;VB-%1ONBKwbnhQPk1dims$5KURn4lMajB1 zBT(~uONMpN|Npf0{r^gVTGkJptHk49yI4Om_`iRc|NZat4?m^+=MA5&`{G~!=a)P1 z-~Zopf8YD}JAdEv-(UUbr`G)~|NTMhKmY#w+~als_Yd>;UH|=G%cy_a&wT!WzSH^o z{~E&V*TBO6Hh9rL-~ao2=KKD>=l}m9v!C5p{_h3M_xS@+rR()-QVZ`_UmtZ{R6;Z-4*(`|t1nci#TWf1m%~_WbYn znf?2pdHdUr|J9rS9lyWr`8z)UJ0E}Lzk2ZZ-+$ZnxBvh9p19aGIsXFsrz1Zl_1Y4DfA6kZ7HGwk zCA8cUrN1OGWt|UP3$s4{X3ENu8C>UTJejh^t>j7mq#I1xT+85qw3ZXvE3)kOr$_qu zd-c6addx?Rr~j^}ygPrPeT+@JHFfDvi_CT&B=V3kb9exjgGv>c(b+! zmc59;^YXU)YUjEzUir^UUrD!Me$PkeU2?_v2>IVnU&o%sl&!QlhP9`7@c!pKVw=rJ z(VzK8T*Au=neu`q>n-}^V^@x0_=rYtJIqQSN19s09L<=9+RJ=%Bsk0`5!GQL;!X<)Pt<11WofLgwr8{@yC zqJY~1GDF&{|Af{N$Zx(2=;trMd?s*RF1yx@_CHkkQk3Y5@zV6(7_~ZsDQmuTTTab? z#FVXN#5Ytfeunp{jmM2o72)sGx7Txj$NXpuZvNoT{T#oqGBkLXdJprrtW2-_w>DF@ zx#BUb`U>M|;2d`)&?1s4n~3=uRd+3C%4$ni_OG3RzG~i`j89Za!~Dh2E{3#XJSelj zUvoxd{ZN+cefu1T_t9?_r@d{*`ZRCTPc!Id!S@owofIogn6goH>4|Y0yq|W!{u!TL zJ5$y=zD&Ho3ga#1a&g=Hqu-gbYIw?P_pPs)vMG;hZ{A5EjA!vgiRsH-OxfelP=!M- z)`!B&hM2p*?a`hO334aH7eargH*+V`hS9$BIg;~~2K>G9#!HWA%s;($^v!vXTTEG~ zZI|DpnmMK{a>3I&Khg~IbA9GRTN@`+makm!vf-Bj+IRS>u-D5&kSY5n{f2fhW!Fq| zzaL4?Oxe)8v+)_rW~MA2s8rX*D)o;a5nuD|l}%1B#_?$q{})x*9mzd;!3!**hw?H9 za(A@rGGz@{k;U7;9>@E1A8%6Byo7P6k(OZf9%Ra5Rjc($XR@IO3EQ%S9pFdQ>jp&H zcqH+C;{{)L-J4*_R1WQk=ok4+nfzgq5&M7?Q zs!UnBAV($S4%Rid*TA5Rj|KX}Vm<$vO@=8`E+l&-YHwr8+Id#{7Nc%>)zf{= zveg@QRCC>;)IQ!17~g`Yts+HN(Z1uKf_x;gE|uQBwAybCJrlc>{b)?^G5SYK`(T)< zh4z=7Wq%fp@z9^Ay!uf|#`99TRos`M_gZ@I)MFc|n7;>6tCMy^|8zf6hkr&M#Qga< zudK}h&d~XN;o1|SMNC<7zHgdxe+vCs^lfkALD)GtwVC{>paFb8rXyD(eiihon%0-W zwhZzu(#4MCSI`&EZ4#k3JMq2PPd3k%U|mu)ItL$}!F=+tOmODEjz#-F1*)VtynudI zmHuc~N@mKkcY0Z5&*@>l?l^eScl$AAmgrLt9uL-Fyz`EvtxEp}eSB-J*s|&==2v^o zb4Nbl6y@E44-3F!rzZtCU&@2Gi6a5Qu5c|(0{Ic+r6Fkc%Gsqy1w&1 z{JPAy@W$D)m3Utwf9L%;8|c%Hve8Zp=!ax2Py9`%ANc*M#g@;Lw&U-kmlJxX#V|gj z{O^P>pndw6tafaZxs35NZ*l)}-4^XXCYW??*o`UcNjE90tT~POtJ=HZ%-PLMS@miH z`PL!$Ig{i?mvXtW-g$oS5ZY=E+$a=T|D#xTFWMuK@xE0|2kj|KS1_9bPNpV>Ro~^g zg85x-tGZkzg(<5TJ#JVVau?%qvhA_ZX0%Tv(R)V$O9KABmw%mr6YRe7B1fTf_b@-? z%~aU56bezdP~_OYZN@S1}%scKaU^wfA_b;+H4*bR%~k#~3dL(%_W zMVhh;@rtI|o{u$>(YIxouDNlSK@I3Xy*-gc3DlqT8mgDj_;5RLlY+CFW@L{}tW!32p zh}Vn@j1phx@Z#^bN_he){ur<0jFRIG3QSqIyO3KNKj%)hWZ6+Oi78EY4wl058<->V&aAE*5p-~Te>VfO>;M9b!nO4bxv=;N)>D;qvy{4KT~bqbAx{z-oHds4X>e%}63_q7-6xtOxj*ZaqOpCMkRC;$2o z9Ef#jpS%6&u=YO8-^+pa@SibE*>X{INy!TeQ&zsjy7n>WHH_ae_B8^$@M{)w^lr)K zQl@P9M0M}6eJU8Q3p$e5b0?t>hc~&*Zby66FKrA<+ZBZOpAA^>oF8`Gr1*36ln3ml zLHDxjx7m%EvI2j@BG2Gy^jFtEbh#w_o}Sa5Gd33y&(nUs8S8HZ4%B$sa^uuD=)dXu z+KhD_SU)sj`w!e#f$#0)Dzm+#5f9j=TaSFQ2f;{}mro!?!;aflMql3@1UqKwc7C0m zE&QyVfBl;?KJd$iGf~$q^x>CmDC;VQ?_zyhaUM-K{3?q6v9NmE^aIxzTi&a=Y~%s` z6i!~YUS0t2PZg*p`N1#IGFH?KE&y($G+bDjX2=SC>P)H5n>x>wshMoKuAZwg9})NW zeLW4FX8mB#!WLuTOvWSciQtoeAe;XD-QO0#l#QYXB#e#Gf1iwqdn*`(=VK0WM@qmi ztE6UH-&zBEV3c>Ubm|`Bf2*8=ZC|NY7{9{#(J%QJf1`a-7iZVQe%c=ID`*ddzR;*i zQ>1d*KYm2Ne*XcTb%-a_ueNnQ{e`&7_@@ou25?tFk7XwObzk-OxPocAFY_GxM}3ovJsmZWwz;4IWrQFHJ(! zzj?jNLw_DuBu}SzqrbJ*?^uW~7fnPYjaIsrbkD;P1a$UZ%{XG6)2(OHTozOVSY9|tnIG47`?FkA{A0h!0aX<2m-LXC3UeRqLJ$Lf-Ru-;aB{p4TJpmai1{ z77iltfb`;z4+G7avVeizCRRH+rYuw+?*x-rNde%{P;ThqFJ_$e(OHJyMN z;0S}B0YAel;1OMl0~GSR`_Lc0ZN`F^;Fndjw7q}5haHkG=)Qja#b%~#TO*d&8wwuH z!2Mz2g)8tgjFH3>Q4!EriC5yvbNhj3E!ida?N;1``3>H-Zd3Lt$OX+G*BF8qR`7|x z7|{*8t}oV7^J@=yBkD?>G|! z9N_U(HuBp~m4`89XW^6S3%k}s|90Hp{k#o+f-Il##lrj!Q+BHJy4P<8eUXjI&*e=3 zU!kQtrL!jvxKlqX@xerJDpMAV-r(K32kXhG7mZGe8NjCOE*(lUYH zk>X-3=~SaY-}ZD@+tk7Dx$IiMSv3r})(*vpqw=&yP%<-o;}b*|2~0ZX_!+Wy+hcJKb-&^cY)be&yzl~c-~lf%#Hk)bT2-5YPx)WeZWCJ!-o+sL z$CW}y@QUImH~l;ifOTfW8RZpd@A(IFrvUoyb?Tu z<;fK;B}Ih%;3d9MU=IiG8^VgwRK^^sRa0Oqt>7TLKaOSREQO0KXc)X`Aui(-g}j30aYy&8hww!U=E+v!0QQ?~Ot!Slxoc-=at zs+1B9zC!DWLs?hiZj6V!8=v$|%&*Qiec3BDf;A752v=_NH6=r*w>O2WM+|H)P?a_QcdO#LFgz?{_Wqg&$Da z6(#yj0QSoDm}$?V2k@)vmw0*a3?iRpWHsb>QvkfRxZq)pP2Rw<27$RO8VefneyZ)V zKv}F;gQZ4M!7Uhn*(;pkQty!Ga8hfr&GW!`(!Qmwo{o|H$B%gCT=KA~$;CVc3etDX zVBYN;@3T@Df)6&B`%x{a55FL79UM=x1O73!4^hvbgTK=ZIMaON;27pnb^QX`AoR}k z0{cUWKJ=SmpBuTW2l)nyyWIhOe&hu$e|%x~}<2Jwo5(jvrnZJ}NI@Q#R=H0&UIloVI`gS1L>2iX(=?g>h03t= z4Bf*b%L70uQkrL;uN}##WHFf|qmH8xeCT59^NFbjPrV8*#JCou|Ey zN$`6*Kku;9YJgv9Zf|`W-ox)o`KqP-2OKbEBi5ov!5z?ROZQM6o`=XY(yq<~nLb6n zNp<@&o2aY6d*%-IZ$p<0qy2}BtB-JCJal$X*;eg`A2Ck!TP#zH^pc*=c$mM4s^xv?YwB`XJ zp0+a&_S^mebp-0`%2%vr@S{EIcU+6dV7JNKqKqD+V5Y3{ZBg8*$p}2ZqF?O#Yv6Gs z@h0tvQVynUK}lrI^0~;A-R`+vSr&`<*z!Vdc4Z3moqR#>`m|XsQ`Yp|I<_kU`9K4e zwxD~jVCM(4HzO$bxQ$HJZ)TuxpthvkOCO<UyD% z>PPZtub3e}s{H8X4Gq;AjL-W6GjlItPx#ipQGb_+{1VCPJ*A)#I9!4h;}ju>Iu-lN zz8cR$F@OmBZCT6OLyc=O?=l4I@$}PKPu1Ko+tu; zk|ZYm0xjTYG@p&k8^3{HQA;jJ`*Q|%N>*7mbASRrCi(G>274;(7GpjyEM7i=DRZ6F zdj9wmcnYe_L3R1N$Oj0Q^wo|o1TREBUl&Vz55K9ZZW?pvhYz0TVbQD80Z(FZty0@b%^z&)%+ljCw!WH=Js3t{O3At9WEO8jd%L2G*Zs$_h_QzZM68zt+6G%V^sZ)RTyu*)<&a9Cab|m7>R4x!@Po zHqrCV644*20*PZOCGfk7Cf7HAyiIt&NYZ^DJ{tOOcxNHoMfe4&Gw!cfvcN8jL`a3$ zX2H*@1=cx>*`a^dCaO)b!Qi1ZO7G_d?FN3O6s)i^%Lh)Qm?cl9+{gIpT;m#j zHsjCB+Ri~gxlAQ0X2PQJetupKt;Qgx%#%;O?r8=;puY3ZbEO?U(64BE?pX)aolu&j zLvrdrF=ge&>)+UTz>cfWk8J+rNXR3z_DNivY$Io@S_?YwY{nsZ|bX|JWq_LivpeILV^!(}fzmpD}kcN;?w$ zSMb}CSE~s>WJ=B5sN@73DEdmM&_FrmA3tJpX~}PU_ZsL?Yxt%d8rF%C4%vkBGxUhz z+hN0g3U*N2kmrbw5Z-5~o#n8O1pHyraOP1%J?tQ*+Phy;S{>~s?LV-C19f)%!`_=0 z*mz;w21qrZg@AVzjB?MfZv>B_K66TN<2&dXJ%>$t%Wm*eGVDFZErfa0*&Y~1vqZg; z#(KrvmD|A2+P<(&&hSNj2DOc+yKFb~#Au4MJ^2jmssuUo!b}+EK_l}1>Dp1`lk`8# zs%t$04`g`o-2FLY)ScQ1h3v94Ks-fD&QnUS06y29FwJVa1|CjVYBv1zZNwXj{g=W` z3GpMN<~8~KN!Tg!@A#{)Peae_62%IFr15=P)|)LWi-AWioELO{{sOFc`QqqUBm#!cmV18nu`lCWCv`6+!XeTf5vo2?x z$?k3N>)PjzlX+^v1Ja@d4w^ZkKU%^neouD_qJ2g2>++0Ir>WN%&3udbz`G7MNfC z`DF)+a*@BI56W%vbpd|W?<_i1bsji@{H*_2)d3%-EaCg{n!6KW{={dEez~E&jOE34 zvc1rEja{$qGzB3aLODHbKkSKkno_$Yn5!4-N7>=(_eWO1k;Y91oVlLB8I-3%wW|t% zQ%%&@au;p|4=OV%{@eQ{{FeElxH0AHh!@Rn`i9USz+Ra7^>HN={5s`gznA2GCeE?` zZI{Br%|LvsdnS@`!4G~+J&>!+Rtxd6gsxBNk!<({)vNhuukMAu>9O5dP|FRT(8_aZ z^}Ur;rfl%6mG#qc#E&%D_lllSVgY7l7*V%4FJR%h}n|bIk?3Ir0>0REr z@I!QmFpbAvO-xzS>xTgQ*YJP*h~#+CO_fcXp?70BDt!{Li^__fMyf67ht`VvX(?FvGRlY$COdzCp7g!KiaZ@Z&!K8dh<@cFn;gMb-9k*AZhTJ+4*9{57le#@&R^UKi(h?mA}N%6}%aGX4G$YK>xFdT6N->H2*yLXc- z;vXqjt3my@s24G(9<0x(Cd8ewSK@SZAggRWmVGn__>Jm4(kLK+_=b(!%0oa3_*c_{ zsp@eTWn$?@;zc4o!=Xl5b6+jpWGz=0QD})zL&is>cPjGedYa@ z-GljMJa}Vj;!LQkJ!=1o?+xrC$z-)e?+oHyMU7uPLYLvk4PP903_XLqsbcYBArG!% z%s1;UD{))sBgty>{6h|WUm^c_xz``mr>VG!i>&oU{zTmPj?2 z<1>8YP`5$7vTHh~D4i)Ae>Qc~{DC@mB~yz{0V0@h?bq*OUxmU>Ywpt2+Gh^lm(-IL zcC>)N3!XCw*=8oplx1~NO9uL3hh&s*e7tZRI8H0QOw*Q-pU^!UvEx|)cpxRELT|5hf-YJ4=!El1O4lgy;&Oxo{A*?zWhlA!9G^^ZwcoGPO^@@aepBX>T%62Bi2{R z0|!vUPHrht75>MM=r}uQef|TxZN1&VELH{UKt1H_v9byHYrP#gE+QGQL#Cb|va|J( z$5PUqIy~uycA8qRh~6XyysQ=Hn_^OhJeS_KuZ?~A$g8@S9+=A;!oD4SJme*j*V~GeW^e1;_?94UzQJb68WB1op;qOOQl74@sFlDKQQM^_Ys5h||AJ6_# zfc{V{W7O9@#P=2V=pK?+1pYVE%J}8675M^-?=!o4HzV(6?0f$1*jDI?Li?hSQ3J&N zMyxBSwwJ(1+XS}dzbgX2Z}W@pEoMH(lx32*Op8nqPpC$pf7SUJ`7XoClL<62)R(Ed zq_4X+3%u$~`j}NL0y}4Lf6K-L_llUZ{ou`WybGCmWgE4I!Op2{*md4V+iH?dqy3B% z>cwgOSl6n9PMgJ_!Y=BoJ*L>WQ<<`CB3osA5Attvow7x(A*e4@)6h^UngTA-+o(EU zk%sv)TyUm9YFiKH=j6maRYTxo}g@H?JaxdHWAYAoZXvt;l%3YSmq zFkXY-D|XU8lY7C-=mhk3XZQk#*(D{6)idH~0aa z+!8j=%h-2od~}ZUGbi=|yUcfr?pTew5$ZGhh7wlbG~3Q2c3lF9pWPJRCy()9z0p2S zt?1f-{YVaM0xlbdkzX-o*}9FTioh>SnoqCT2>oVQ_+KgP$N1`h7uxmS5&hLrU^ne} z1%8In?5)SP5j>V=)q1@%7hx|A5(9)QuOOdfpRIi0=Ops*hIwX;t(Ot+S{Mlwc$b5Z zGL24E%DKAc-~33mH`RHaB2(5{RJMPS67)n(EzZK?De^cPjw1%IUP8}JJ~z9NmisVe zZ9PZBq&?U_O5Gp(xMCRdV$T(N!aE7yGjvo>d=!Ox7xM=Z)*t3<@P3D+_t@& zYM8R>Gd`nRWbk}Ok1tx!vjD%_d`Hh|6F*%}2zK)kNJULhvzSvvaD8$S3+0R7XOUl6#Dpud(O_XK#pqprbn{h#}K z-@(giTVCH-x(K*XHJxqUr@QbArV^LsM|0q3j0c6c`(6aEx}bH|KW7s9;ojFPmfeoL zvbyt{&vX31_qw`eYK}+2Q*mcL8Y%ThyhF1Jx={BO_*VPtEc-7n@H{$umigY*slxb% zC$vfW0Edzs#vE4v0euHN1is(!=j!GqR}r6Ts-LAjs7C*_*{fnV zE+p_y{xQyTp9uT@CSsOs`~_L8XD(E`0``D9IPa`>wh8*7zQ8U`0{Kb((2mvVfyigb z3A;ZQdyRb#ltlLOC(mK$O)me5*{cqFsU~VTfBy_{G1Zj&;^-Xog*IOj{;~r7r|e~y zzb1w{6W36hj$brzKGmY!q{RpMJ}cAq)5GP2{q~{(C*BuEp#S~}t(TJ#k4q)oZtQM3 z@Q)v%fAnQfAb+6V7>q1O2wW#(u@VU|+`L~Tau$!v=5nIxP;BW0@-=6x>1^=ut ze0KWBX7C0YdtcPHxdU(N%T}0A^r3N9?ArsS6OG$*5Cs??mWUxY8?jt zQjh#%Iscxp&N3Y2!iC{S4WECW)ba)1B)907-w6YLQQID1G??%bazna8mId$_Kf9j2 z$zAw8&AH{Nk=|F(y?7<|?<=P4a-MX9UD9yuolR{*ysj$0Teimsc0na9bc2{X!LHq!SNpgc z`YYBwa5#Go@tH_uq>1ipa+W6jj_I|%a-4|yc+G57K>jxa1OthT^?+gz>V)Qgk&|#LQsbwzpJL`+%wb{Qq}3n z#&pPbL#9pZ9sx(_c-(lzy&LsU(tP{1$7_+VkTkc;=`Th;ROQ%$?UDZALB$Twi-?I} zeaYYK5^Q`2o?5l@tcO`8{ES4;)QczO@RMR+yqDU3!1qKKad7@J0FS2qrhKBQ0r4F< z%B6Al5$KyDtFM0cW2|4Qn^AjxJn}W_rtW>uJ(2IDcvh#JcSnC2>AY!I{gKa=lil_D zWd?AQN`GO}=^*U;lREHgZ~afK4>qnHcUyUY^VID)Rvofr=8vqu+-aHWI*9z0Xcr@7 z)g1T@bw*Hp=RVkH%Tx1nbytvAr~G)@WV`_J)PiZg%CyoUf_`k3SmZJCj~^lbbaY%f zoxqfphx9b!;(C_*5yzlk{6}r5FP|3wuUN^>uCR7g0`Ob+aqSx}iFz z2I{b(?$>nY^G=0Dh�vb8i|SN4~%$#@t5O5q`!nU3Yv%D&i5^l?It%J@kkC$|1Ib zV~ipdQ-nGN5nF2Iy0yTgCi`}r`%Z(Or+mEK@U0H|rA@N0vtA6l zBvX(SAD4=CtbhGMEaemMoxCFlsVEx#Rjg9^<`f1yP1P%zYOle5ZAqT&$2U6=Zzx@= zpX5K+jrLU(rX^^>Pb;q-)Z4cX_)DWejKyORew5*pwR+Sab(%(Xyvx77z`8bXN+lg% zM8Kn&A0L;9A@5GQa?w+{4ftFy>^Ex*H(~#^Mcwy{*}&)IyuQP-9eBT5{OzD*5%8FX zo4I_HJWNlkXV)RVk$ABweuWuut;Nr; z97@fY56Au$x0@BAKi2kN*Seept|9f_j7eUG{dj^K99|ume#w+otSYvjiG!>)_Hbc> z7kEe8T*ul?#=u3EfiCPjFYLzee|By#d|%9zO@+T7bj+XnH_v`ek@I6Z=7~O6`#MS$ z`!f~2YvM%5;r~2$xgKC#haGe>Dx|z#iuwSXUlX?$=Aa#pN|H;{j)IS*ThMe@%2EjP z_%OYcjCEr`Rhzj-0Ui*@`|*;E19>FJ`6mspPD3xL5=%CCWCLH*FLzjm4Z;6X3uQ0w zlxt$j%3p%>;oOLkgl`|CkjFFr-m&Ty4ZN4Gz>D?Lg#Ozyv|@ixp+3n*WxKk1A@s;F zsJ8c^J>guM%u08@BGki?&YKJ``3yfu|E#4LVno;{Ds3!73B|g%-*)-@{Ep6#=OA-7+=SeHz^%A;kQh> z-v-=1iTyJ+GxiD@uYj+m`_c<+{SeO?uTFkHN$8)f^3Gvn%Luf$tL5d5I`E3Ns}|^O zN=H6OPkGwyk_7Ol(YV5+rNi)3l=oE}uA|@;bmFJ;G`_)Z*lu4kRu+Xi4dtl_~< zW=dXXkG@DD#E)@f&zjf54wBAa8YnCRf1rD%=JM@f;9m_BtIw)W(Larv6>IFm5P#dp zf8koRA9W9^`xojaixBF_E6!b%kp<79na<|P@&x@geY|L*<{RQwM(!z+niA|7C7|p5 z=>y0YsxG5yJSimLe}h?7k5KqUZKsNY+)U(0Omqh&#>~L~J9yvnV_SmpGgjc5Uit;` zH#Nk@Jy{(3PZlKG7DfV>==8-Ov5F+r^>A)a4mT2J%4(uDVvFWs-!x0#MsD8$dt)8s zb$j_FaGGI7)E>?x@V@4;$5;Kf0`4NEbY?L=V!f$-v59=3ivCg)bZ_SUMqZw*@rkt~ zjZja?w`kl<2hVF)j#4DGsTf~BQJ(q3;Kj*5e7DE0R>XW%McTS8fgjcnS?js=1o#x= z>;tof8>-MA%LCiPijlwdNDZYvoICiBA5mMS^CEW%@~)1?i;7y65C>}I9uSV21pd>O z_8sl9!n%~6e&?MrgL4FIe!hD*5&&L6OukGYav1wVG=xn14qCzvs@+{>e6JNemzGoV z9+TZgn755PbQdcV_U*raaxHr|VgCcYy#I7McCEOqK7HVE?qlpNwDL}qc;rMj=)YxOy4{GnGRly`g@l3NhE%68_YUT5r=iF zV9uIfzfT$OGvD*DcoFjW4sP51g#|E=+D-1-V?p3S%sS>)ys3xXAjd2$N%?{LG2V5N zH9VW3rv`Us_}fonU5a{J-NjJ)L}-aJ?BMeSpSkE8y25W$U0Q}K zJ<&g7hNO&jAo_3mdZe;m9Py*g&~d{vzYtGZ&bad%s^RyRoiWEN>%prSyKnF)Nr9c# z7>zA|@Cp2Y-YUle+#>wvP1E2P4RtTP=1qkCP~V^4D(^zD`zr_XSMb9x(;UNu zZkZz9a~?1bPqioPA6x$JM)M!U55j?Mo-T8!E2bG;){4$X{G#0V>So>n@IhL`8)I(u zflm;nwY-i!4_?`1CN`tx5OAu>mVE1JC&D>Yu0`~f6N(zAi+qMw(Wd(m@vuY6eqFsMD|cg@Hs@X5NvM0XJ-s8YvjKQRWbkc`$6MfK{l)`H zbSm(oS&3GJT@QFDr9GLCkAI$H%0|zY+>=#--Wvx*EsExc9#CQhQU{Ks{(z(&`@z`& zJcGGp^tl`I&@+b-&2{QAu=7+yPrCkMQ1$#_*9?gzUsd??t;_&LrG(l4D_ z?)3uu^C=rwbyB18cf)lud#Y@q*XAY+ksF_ZN0szKW8+_dH_`dnDHSaY{#K*nwATK9 zGt2>I=>rfXi=iX7`($&P2WkhZt@3q1FG5kKa zbyWlBNXg54H=iQdvC7+2du`-1)O|%y4_*NN*Rj}pQtC3H&U&Qt)VoN`hpNm%?UId{ zZ}pTfNzW)LrN`ACJU?ww4`{S zxCcLL!y6a7sfKVKyQZzBZXx`v>YlOc`|;RUsX3ox6c_`)>Cilv%&;ZoGi{YQSb{MA z`jyq=OJ8{Y8;_{fWoU)(fnGc;HqLwx9!e>wm+u1){EEtw7i9S%)XQ7^hFs59+N|`EI{XPC-2sIms>6QwRH7m32d<&s##TEu+~(g~_m+n!W@1orySKNqD)K zVeD4;f2Eonk&RriEAo^bOI6Z@Y3Q zS0-N^enY0@jnn=x#6RLCn?*y#uwOxVYf=_R6Y#R?l02U@FW@U(ql5^XEcj*N3`r$x zDbxXLgu7(q))MvuD+-=jaT)nA)&06NgB0SqG&0xpJP7+%7kcMKtik?!%JJz7ELyND z;>C&P@5;d+lZv~qOY6aJE1&pK88AlJ?^1r?E#m;;oW8Y!2j3k>e;DG6nmA6uu1n=` zEMIJcdVLcSxs1x(BFx{`TW^Y0VAm9%I;7m~M1RD#sNNn}4!mv<`lhe6aWhlaUfy%Q zmcZMo9@5XGUcAYaZJtnOPuUReDNqxYdNl(+fNzUH@|7iczwqtS1~J0=lX6!%QU4X| zSF+Va-_n{;PxZQ8=CcuSlHygf@sSnCv(qIS0#c^nSIJ#bKcq^K4>gXdl-Zq$_(o$gc&+H~`x)y)vyHcO(_V}}WBqh^+8fjt+8A>0 zm~Bn_$Bzgoo|Y;SZ^F3nYE8x~5qO|@7qO0Z=!rtk4bBe&@Mltmr}w8OgKv~uQ~rnY z7WovOjcxl5jUaETce!cd%NEqRNx$cwICuR#UhzSE$!I*lBPb;=mlD_+L0jQ&;C{8)Sgcv_p1B@o~Ny_6Nx z`;(uGI8!suwpl+Gc1`TXL!-0n!83^-J~AV)7~^NcCt;bThjl{I+{8Dr67#G-EVHf4 z6n>PpVvX5QFY@RrzJER^1`v3!<`>pa9Kiod)@xUVECa7bJ-o&5feZ9fBQ3@LdnND< z$DuUxWD4|1weS7)eWmC>!V3DP{^DL=yU|{A+g~0`Ex43uWC+qFU>9^4(B8f@WgTh zZ)(3FUAe0@f$pOeG|z_HR)bF;u{59`^27uz&+yY*PK7`2kjMH{xj{83G&|7 zEvGvBwNTGQ+hM~qZw#EG_3rw%jaI;OQld6v#!pf2VkYdlNWVQ3?K`TZeDV-*7T-)~ z)ZH9H-FD&X9c8xQU8Q2=Qr8jg^O0CAmfAM~97FmRVQ|+2@uyPk-X%{JfM2!3TZgmL zfn$_dEeN8-E?SIRr^dW^2O<=?{K zcgVQ~qm)A65*5AuiF_pBBDssdw(Y+SyQg^Y(Xfsh>@vwSr)lwT@I0cb-w%!1Bmbzh zYQv4Rag3juSp8*5dBVA%B^d^Shk^U#1xZ{A!pLhg>g*HtJQGBJPMR10Y{0%xsdL`$ zQ$9FHRM;)~%jsm;N4eOXnA0Q3N0Qs>vK&NEm!a{n&1tF*e2qwpuIb4x0*@Id>N45} zKj)}VcNG7K^-SM3q*uy_Y`?23dYs2AG zzgytT4Mv4SYcAkCPfAE=^z2>qQ;*EwJiZrob9BBl@oH>{50vkYSo<8r_sM*(uCf(^ z9~a{Yq_p6T*3~ zX$_J50pLvx2YfSrtHH0z@axDq8e6i0e);W%CllVclPZeBJ(Ck>0Yf+nQ~mK??W5 zBkGwZyz31ZV#=1^SjSpez~?IqS2+y35bnRxKXhqj0`x)a=c)NBR;(8b^79lHANXk* zf%aURgNUC=N3I9Wd0>4SZ26(zT?CvfVRo~F#t-{u+GOV>`I*q4vT)j^B~UEyggp>D$Vu43!)Zq&_k%zbftdI|bvmFZ!)@-F&M6|igBtrNkNt?fD8B^G17 zTAb}I=@3M`# z>i(?^;4+2q68pRe)WPVoeq1BG7UOL?Ze*fshdhDY&1BDv(O3W8KXPlJ*-5aHDC|1R@p!A$o$v!PRZ1!641u3`ykxg`1cJX54GgIsRzbal$lail zi-O?Iq`JatP4WomC9PxxsRa@AzIWa>uncjTTyU-aiKpPz95vLReM|w~mH1Zjv~Lsm zZ1S@9YSuc$of=yVm({z$FG=2hbv=v%yC7Y~aVnUKd6lM1YRjGmPa!trdiPZm^7_(m zUzTm?DPqceq)1))6Tl;?{u@8Hh2tDNfyg?(&d_drziUg0^mg=Do##^DJtNd5aDQ)Y zIY!v8A+GSWzgQ9Z9mO}aumnT!MkJplIS)U9SJRE}@wj5eg7JJpz3o*1+@Mz^9K3re zcnbPP+j#(iKz_e^Jo13#YFGF7T-ZNP9V)9|oQn5TcqwZv{9*TnC*FS8`3H7gC6H8k zemD9rouLPK2elQicD4tD#}k_PvN@@W z!ju`>&YX8&4l(5g^MV`PGU2DG4sXU6q(YyluKmg4g;)xv%xr6wL%XVzNY#sE;G+<|1OD^gtC=IvP-d>FJq&WAM_Y8c8AC)X>kxY^7fj+Tp zkksTu{G)q9UHI+@{HW}no;NW|2={;5ZP%!{0XrubxW0dp0C0_xZrh0{ao|(km%Dv3 zo3I|F`ArHo2Vnn}(Q`$OPv)>&I?3q!Eyqon1;$faAb7}pe*pERPe5oHOgYgsgczx(wFL-*@kuc9>FB^>S#z*zG zyTK!A-nuSYNT`<;Ge7(M=N<49A_X^uo@FDR%ii z+$qHMN+;{DX5=?9<)u6iPX1zpzm}9#dPTmEbwytnSD-dq#+ zfnB1%dhqqZbL3xWthWS}rQl~MYczuoRU@9Dg*O>ny@wyMYOPzcols}0y3=`?(j4I& z&GwK4fdd3y=#~GXk#Ky^RB-EbwF>;I@YY*2VN1kM(iw^wY`r#2nJj#8UGUc3n7?gH z&)IpRuG2W|QId};=0|f}s>Uq|mdgPZZ(z)&Y-tZnc4jv{|`sHYI{^t{>}q z?doFSWj#a2E%_2*rflI9=crkNyerA`hUy4WNlDb> zsP|RRRxho=cu&6)Eq_mlkB?8kW_dn=`OW5Q8JWgDRnzIK*A6rxUeh88o^(D&sGs6G zmc76kysz`z(Y!CO5T6@dr>$F`hImkBu;%j13&5>vtW7P~J7FKxWNg2*GmziY?6AwY zT?xO$(K)WPOci$5kb|8uLAWnaSv}?54so1gLt9e1>U9g&tDcIq&W_huPiB^z>Q470 zp#9@n9f!PFFuv?@GKcuV|9;jx z7Z9I|#(T;yC!>x@$BE~_z6aP>=}6h%e0_&9^h7OXFz%W(_kFWhVAmP0PnM~;LnhNWmVYPQ?`P|GqfV_0c*4GVMuF9quum;b z{B9_r?oCDZ;sM2A;B)f4@W%e5;H8XQj1R8kLw|ByEkKH7EwJVM_CwDql|EpZopyG#Frh7{VFj zQo)GhZG?JK2F?MWTHUpoctJQP)A}AGyy6i2C|%V=g4Lan*XC@F;`&L!_{$`mezpd2 zuj#g?&krUM7wh&Ft?pApeI1>|;yFvl_?T;oZm)6$FJq)BVVd)rz_UEs@T>6%;XG0* zO9?3*^DCJyK5MrI`54N4+Ly!I2>ZXIAC&LD1HU68nz3x~zkmKa9<0wzq#j{i8QE>j zU#ts0TI0bL0n<0|qw;sOeGaUIe(Pk&-V3qP%9U*$iUy;lGrk*WE{*bg~#l)rfn@rihU*+Iy9`J~Up9RhRqk(Hg4Y_u)JO%Dz zI7bhhxeHusp?{-wvpVt#)W@!wj-${Q)93lCdh7`Ghr7?G+n%(+`>Z}&YNsGyLzep) ztFa&Pue|mx$%=m903(k<35{iFkNORTuPR00W9a*8W@7cRp42A?bwdTQ-d$&xF(f}? z9|qOZd7tYV*dN=i6rUB+ig@3K=cmNdz5k6z-V81E5yCu5D6Uy*1{9`Nov;$(U6 zz41#G;SV{czqIe$JBN842>f~U`bws(Wmn#QXch8s(qje!8}B2|HJv@)u5N{Kr>A#L ze++`%rri1Hyv77|1WGqUd^uu}N7uh`Zb#@=_yIXq;T})IJ|>mpi`iQ@z~9q125^s? zqRvv}sq{y;8{j#VeYmb{86n(%vE^mL<;SRRlFVv4lA{T~Adq$Z!7n4sk9gjm%2o6l zj8|F1U4c~Cb=`&cgTvlnJj9hLo_{=n7me;75>CxQf5c+en3Vbx@&zk&`wQvlk5QST z`njL*!-BHoN|Q#YW7Kn#C{vxZ!FZf-&rm7=zNAs&u6R+AC)D@LV4Jv0zzKYDd#`MO zT@kZM-&S-Q@rJ}ioVRfj>Q_|1bOx~MgI7~JnVvK=0lO?*)p+Wv5)+SE|Ne2hF~1f( z5uf{AaY{YL$MA*rT8U&qrfjy$l2N@Z)l+cQUipfwTDJYcBZRLfwhD z>lccqE#W*O;rLg^ws;?fPgQu-gHZ2erkj`b8+JwIMiDjTK@a2~&lXdc z#4zIiTJr;TlEQ8FL%Wfk8*slM{q{y;b9MZdMFc zp+E8;f6UKfJ_R_R_J@5y1W`rR(${wL0*^id8dB4~t=6O!!`yoOQ)|B40Q# z_tO#c&($uiHb6>e%A`9y4?|7=Ij7P3XLX|-V}f88bN38rbHQI3a_V$%xrDe;?_g+M z&lcb}8N&jXm5CTI{-6}|evuWLBQJzUIy-JpKAyyu!h$lEmxZ|NJt zx>LKpy6ia}b;dHfj=_N2=3U$Z!PB7rGOML%VC?#DVJSCIE#{@R1~$LFAhPgC{8n z{V8p4<|N$HMl-Etbcf)18P9CiM2FpYU%DNen<7|1(DE4x~9`&%P)j;Q$Jq4+FgzD zH}6WfD>wmOm=RQ`p?enJ(~bQe8RACRFP&ufs*xT0gT#D?AEoxg?n^JoXF1Y}{HCz! zsIzT0?17B}pX|p0LjJC)GkH^QG2SQ8Xr-|P-xrEmW!&%^`%Sd^zs%HiAYOHNz2?}8 zao8;}Wy!{`qTn6r^PaH_q|ttZM`?qmG{kcnMkj^!%}__eDCdqpavr=Zz4t_bBZn8B zkJIK5{{_FSq3&V#OC0-pslsLf_n%@t>#RwZa*IR$LVeHDd8?DiriLF zS9R$*>VC|3c|70t-*E5m`}r?NdQTyqkd1h>yz(0C7emwPH17}KM1B2Tb%R?G|5^Up z5_YEs`3{Z!DcUP1;TP3=_cTO3h9A=V$lLSaFwXnX_(XGOYwl*shTc-T5)-f|WdG+~ zKh^<Yf8+` zR`^r1o}^3qC%~)NmTb!57X`j#+Zex1Ob>jZ>1j__+7IxZjyI0+Y}k*yJN?m-sEdz~ zhohSwR~gbGoYyJfls%;ZnY8#(tlKm2FjQ5Kw8_Q5f2J1ct|w%XU$D-cxe~G*{@R*; zW`c`%h$+iiE}l~eM_r%U(7Ey|U)zxUPa;BPR_D|%| z4K;40B^F|SX>tztK0N{6W%xPriCP1n*=hL;m`6k)C@ZoXWEGQGf`#R zVs{Gsw(&6Uq}(OgJyo}H>Oc|nMaLxW^jAap88dE)?&pVW@b_}xmrk98yy8ZYrmITO zUuuo$ZE^tW+thd!59BV#J}g=S<-iyR;v=1`Z!!D4vH!~Hrso5JKgg@vz7N+bGb&=r zRveS&obO==8QgNi#%mDY*-W>myKVOkXP8)ao zErp%YJ)>LysRwpQ->!lxxx@$W&;Rr&$`gLnY5O&;Mn~8|^}@U_>B|V`L#$5nsE~ji z7cia;$j`?7yN;e^X%t96e`>V9i3kICkeuFsv1vkGw99?Pb3-$zGq9XLDA1FI=V|jj z=Q^ViZ<#MH&9l(J_&GRBFP_)L`c&V!W@PvT^v_J_fO+d#>_0M2{LNl>A2?d&(v;<) zl~ripv;60*1l(p^cIt|b5TQJWeT45^ey~W2*Gu-{iPcB@R5w5e4a8A$chS$H2V1Jmi{jD0Ycn&7kM+;?&a!Rq`<=&jRaccWD(8>4%wUg z>;~|jf~L)baH^@>$p~ zLRu9a>D5cnOV$VeLW_|nvq-GFX}6Y8Z?vKz$5jP!JuNYd%isy2u2G?%yNz%UsvhM_ zu9O3CfOg=vKkc`Gzo=Z-IQPv%A0$M$B&^bb-{i-NMz^-19!FAT_r^O*3HOLzN{GHd zIA@$;ynK+H2K`W-K7K&28F2ReuR9Q?AH9$>N?m>ijZDaT? zCF%Uga%t43iQEn1c=H2xSn<@_QfUYH5u1%cLDkv7Yu4Ho-+IIe`vT7}TdLtUum7IrC%+>(P>zk|#yTuaIJg_i?l0@7nD_WGNP`b7h@UgInQf zpV>FNRCjfZC+*ky=UX!1r{pDet~^`;yK7)TbDUg^_R1Oj?ip<wWkYtcxw!!37f4fU*Rs!n&yYW~RQts$-~bcD0z-`m z#QXX#7q#R*VEtMKq;0$R61Z4v;=Fcr7U5i$IPN&(bEvmc5WkzZvH|sA%ij6SQ2R8{@7n;m8`F3x8`dS=cX4sE45p7SwZiqn?cXb-UtsN7yL^-_B6FCGwKu z{;eaYys)oL|Hu}e%yEKV{CRfJ@(=Kpi0gxMGN*uVXa`S!&~?Cm68cD1W$!HEJ_+uX zzikd8UNSVT9(P;`UQ3nBRQP%*_U{ zsU3SLQ*JBr^o;x0%o;j{(f=olIsA*E54xd;3(90*CybA>byUTnKFeSk&F_vJ@(=Vm zsrmg3=o?k*?Z}B0@Qbpd#%%O8$TR9sJvF7*pe}>)Y;*B~b-+C~7nRE;J&^~s`T65` zaV+9Ft=O|U+3Dc(^&KUYHq;^B6mol#c%TOLeCncU1~2YFzcenf@>O#YcqcnY8;vpG zTjdvJZa4lV(jD2==b-Q2Gtr3{- zSNj;Bjv$^l+Et~md5Un(X5UT!+#$@bT(so0%XY-SGK11bynI$-e$MRIj-u>l%3^*Y zt5(S&|7r5Xu$t>O_G4L9B*p6b+u(b#D%CgLvA;(AOvAm@Pw20m@M(^aKG*||^?4_j z2q0f!BicIO8$qyhKIe>+-zVIJEV>JJZup}v&1*xV9aoP z4!(~evB|$?JMgb#&epCp71Y66l(#&Z(IxO?rBPcRJHrl=PRaUoCjswM^&1lT)`Mr# z?sj<@a}RdJBwIp1+6Fw4&ZgH=Tnmtwb;!abyznWTL?Cx4H)X)mrukDdPh4oH4f=O8utjDN_*zqMQufj@@F0xgFuk23 z_`Rl7*|3qNd&FqaOwd{P&`l2PZxPPdV+MelA8hPg*l}GfU)Z!hR!j z)fc7D2=@Rbn(UQ|B-GD5iIxr6ioB``IZSd?3;eV7Zl1=*IOKl}zLCDZ8-yR#@B93~ z>_a9~Rt?!WDzp;u86!pY`$Gfp*QDruQ;WyYKbuUM_ONq=`v#{}U#MpL;P2Mkx7`l} zE+DVw99l)FE7su)pKVV7{?&QgqP$}ays%BtL!*_qVaF{+w1+$+2=_*x0uapTodel*wz3Nrd~`P3MdjJ~=|DyEvWs zr9T`zC29Xl-Je@A|6H|pQpt_r0aa&SlY-2UU$ov*z};I+I5$%3zQ_Yk;9*+l=(CVC z#Q$=^uX4Fao0+mkRGh(9Z{P%T@fx;W1^Axmlrs6MBY0QAyYc5LzQWI#ef#6$bQt3$ zXV~UqF{Oy{w{;Wh@w$oeXnQi&WR3YZ@a?WR%HMNN5Tx=Dr?ChvPezuuYm z2cAT}lzihy=iX1)kEB!oiO$A@@vzb=R2#X9c+!a6E%~_>b=Asyf^VsfBTwNPf9Kpi zXZT&(5_9fvU%~&-AC{BP-oXACkvWRAYc}Fp_u*A6qDjyXEBQUsd#c<2y?;a{@Ur}B z;1jv<$W4jX&|3#>u4viQ;NRSf!+q9WL!Mpyt7gvu4aAMcc~|nzTmwIBGnVsx@;>4L zv&ml*uZEEav+FJO4hRRHGqb#NgnKKVr+vM+=7E0;}JZkQ* z&;Be2@rpr^r2bY#d~u__-VXfk7sz@R3vy7?nYlA{F7#WbT*Q>M7anXE9wP8O>GSvR+dzMeGn6l1TSXYZ_-XO)tcbJK9@^KQ zJUj<|OVBMCst0fA!?!whXEW+JRV6rw`;Hc4{0|Lie>R0(x6zZx5p+PEhEDTT=Xhol z=Kr41n%-f==_0fHdK>(}t2z%C=TWJ?q&fH$Bl(_g%pfbVo?l6)LqBR)2b8X*gu0H1Du;}GvY1LUzuXABI^ z%cB1VR@{%9KOr7+>$lna?v)i&HaWCtfdd)iPdjteVDHYAOj*ow3%{>23saWki=7iP z1g}c}awKVb6YQXIk?I?MTkwDu^45_&>ELBG+pX4!oZpT4<$bxWOc(PZ@>XA2hywkx z_KS*2^8#LXFZW6JB%F6ZHQc_%IUe~c2iMgDSA4-M(MH8ioOp`(MI+_r*F}K@zg%)Z z(4+zTS#+wWePSLXzoxN8>h`y2#OpM#*;^~u<9jB%d9+f%H(3r` z6}+X3{VDt!1{=5CLVlXoJ)p2X61drPx81X6UEtkRC4)oh-eLdvk%jcenkT)OXUe@7 zrkjNk_fYkB*2hu6+qlXI8s3P7U9tUDoaXZZ>%eloxNGApAEvCOy-~EB6L{Tn&B?P7 z=inF21vrK0X9)Kbk9bd*_#z%MS><U?}(83-ff1YWMLK@Q!pq z?&(WQfNzz@<1X&b9>Y8xy_TMCOPGh!1umu!!221?N)NcRg7+}H&pEc)2YFv5UK0lmI04h zFXC2IAk+oZk8qnx-^02vyJ|D@#TE7ajvot)JY2y8S&gima^6MQZz9qw$)^Y&%S6|} zmisjPs`|3CA+Gs^b7JNW+DXSF{#wE9-^H^K`bKLDsq(%9zi2!@S?d;ub!1UL|MZeaEsGLTkjLcfq$)bB$5~K1K&B^Nx7{T3topV*zuI*1>#lPoK@RD38Fpb z7k7;FzCipRt923a!C=U&0DncsfAZOK>6C;iCWgSFOZpV|2X zN%01V*9>KZ%&FUeH!bdRZFMcje4D`5zYKa}zr|3lHVH)9l3hmct$KO|@&X#tJU;V-aaD|p@aKrGNjya({Jr3{3PhfmChJ&|U$VJ|rzGrb? zQ#x>m=H#xFUv%tmG5WBkq~rPlqwb8c>G6`y6{dx$YRw z4Uj#Up7zHD`39Nwi#PX>5f3aD7%A_I0bW+Mdc4O^5%c77^t`TU5B!*P+nfnG20VhC zqYclqPVn;%Y2K1?<=BsE5^(9deH!9iJ-&U(PoE;bQ{mpuCUOYlZ$@Pl3mw7vH&k`r z4NnEJE|ofj*beq$U5MSf@1nI9c89SjkUDKF%#aNVQoOFreZQS=S zd{IcKH;m@+k#+~aZah&@{^J_#iWO(2Wc?Y!d2kMSF&13FZ8pDe?0ipx-DivhIB1oF z=hL*l_Chop`eM6dl=aS^-AtJr%BiwcFdg4_i2iPN6n@d7v@hnw6RZc)__a3&B{4r% z3y;ZX3Sqr!j@evk>4%>-4P6NA*VYM?5|X}%_}eyc5xX&cj!-v&eA8s;b*)W+!qamn+G2KLVRA2+{ zG4P49$S+5}Lg7`ou6GA`A!V`f+VU>oOw*JTIdW~l-KGWHjw|$_pRyx#uXBSq|BUuU zZBWq=e%=1qRR{8S%(op&N{>JTA>YxpEVQhYaPMAA6G`3*e$F<%qB?0Wfwwo7$!{f` zlj&aKT=i!o>czZ2J);)RQIal(2ZEw1#0p2D;}-bFKfr^ zzc@F^iz(Zf1+MLv1O73Y_-VYtjc{&#n$Mqr8}MTs!?C|bHe(&i@@vIdR-(?4W-U>- z%?$PI@;#0d{RxQcE&1-rJZ}I#chtKlziKh|?%GVn@sn+~-=ZJafd_Ol8lsOMg`TJfM#cXuK>Q@swD)Lb7x+{< z?`2M}BZN9XO5RcFcmlp+YrN9_kZ}Hvdlt9*jw+_CwSD0+mrKBZ*6RW`us=Y2W2~{; zlZ$W;r2di{y!LU}S7#&baQdY;@~Q?!EH7u1k*`vW*74r)n{Y32krQqCBE*-{5%bem z-4RF2Ji5I(ej(PCj5GCxp)t7!LWI#Cg@8Dec$vmuEP0u?DN8ch3 zYt(j|ZlwoamHz8-BdZ@F51vr7`OFOB8O!eHG+AEYcjY54&hlFkPn(`#kbR#K?hC1X zrq!5;{DraEm+TBr@JjX;U0%wEke@RfkCd#t1V6}IxiqWS74t=YdC4Vw67jCB*~dXY zx10F;?q|P}_COy5VuV>9xP!-57YJta6Tp52qq!A~Rgb%wGQ)4JZ@MdZXM5G2b|V+U zJy9&1cl{8=_^R6!YOgvD+(@kuDd|}PKSD~=b-euwevGuNKIWn$@@KZI>u%gQi8_4! zHSJUdQ{=zY5BA1Ca|aKp-aAw|eFA=zp3BOuQVrfwi}#ACcOT|Y>dDDB`hmb%w#t(6 zO}rRCjfqL$Q|qC>O2!s_Jqj3q9sTjW0p7q(I@kKHv@w92Tz#VzZ{7!vH0d!v%5DX} zqUrrR$$bTQIUTL*Zyv{tK|dQ(SWLPY zs8zHA@9I{K1f^W`VahV<*L9u+6Y>X_CCfE35of9V-r6x}48G1pqv+MAbnu1r`Lz;k zTL|~<-LmW0b_aIblzg?pX%Flk^cHWKp z5UnsX@5)~AiN*>RXLWN3b*=2A`89iB=S?qvr0fua-b;xqihavP|1H%GB^z?#*Oa$! zso3fTe@=dU)Kv2(@SDs9Tiw%x$d?$cb)JiBBqz(KxjcFz z_Kn%>dB)z#fM3;C2ytT9|-@zjoL^*apwSZkQ8!>gMYKOjC?qH!ScOW08 z;qgaGd%lP%(=XkN@U(}WAU8_SD>?{cJWRKrye9#iM7?oKm3{pXet%V_{iFyt!s3rHP~$PgmYfX6Bmr_g1u4YAyedy2D4c2^wvZ_RC1`)_}RAGR*P|5WWH?4?l@=WK5o zfloU0_TteI+=F3o=1Xg}{=fSWjh^}z$CpC5Or#zWn zqCqNH7b>+&QXeN^UPP2~*6err%8Jx30@svB^^&I;#l-dk=xrCtyv>vzORUgvvKHuc0CMxK!hsTZZEjEZF zO(R(K)&~&wzs{wUDP;h!TkPO`=%xpJDzn<;=L28xBqkn;+yiQ;C$aLmQN83g;#kw+ zl#$-O&`Y{lW^cSG;auoX6Q_?yLeJFP17>O$!tYpQs6||O3A?NA&d6zBgnWi^|B4%p z!-xkpme$(P)`5pKzVEKmv=??*u2VVtfG2^cJ9F&(B%uydM&@wo2elgL!{(;{x&hh|e_U z`#qN0f_E_4{_OjP+sJ28;-^b^Boi<`pZ6}an*?r=`>-NU=q$d+-FiTy+LCaOTYbZW z8w z4yCNoGWWpCnL0iRy0iuDp$ButH06T-S5CN4A1Q_PrT(sL#~WwVr;!>3GAWOt&-!T| zG1N79zs7KCiPu=>~Y_N^=>uea&cEp73RO;sm-$% z@NTx;R&QB^fz#Bow*Crx?t}LD&R+|=L%8q#mT(WBj^=(jfOTcW!;Z!s1=3a;i${sjF=h1p4)Yn9*cT}d=A-;Je4<%SYln-+%({uzl^-F;fWG~9b$xi zT|c=8x7>J%aa=qWfAb;My{Z=HN{ZQ~=r|whU*ru!gXtP`OqnO^-OS7p%)7A8 zlo?AE;oP>ofVbZNrFs6JEZ#P1zqkN)lJBe4y>1QIarseS)pU8_38(eOJSDw|4^$40 zn^v<~F=b10)fZGD;79XRbw=F?@|v2W98F$b;O7<3>2|w513pzc`|GZl2I|}C6-U1O z@FJYQr5`+>aR+wZM)S7L>Xq1^BivSa=!Yr%sK%YK>z%dmTgrj=N6dK9Uy*jTRINgc z2ibpQRpL16NR4bCu9JTUJg4AKq_v&NFBH1MHM}p={3m3e?AGz5L0s>LT<@-GV=(`YN8M`zHlS&R~3H^2-zU zDX&EPvi@i#jTAFwo!*(-ysgN0k;u1`2Tv2u-MJL)YuE%oA@$?Zq4yhrf7upG-jbdI zPa$P;>FR6>=0|nl&Yji})EUTTJ4E__4MO`x%+7lL0WZerlOA=a66&lM=I^+m0^W;q zYI!E<3hG+OqZdAIs{md$6z~lG(~SNaq_HiySC0Pj1f<+gDTdO>?a={Bb*;@IQzQi+NI4*S^3jg*_%L&pY09D=x00O zN65OpXC8||9}NTV>N=hy@Nk0Vea|i-URMj<#7ZXIqfIvdxcWs7)|b&lOOVet@P2xJ zuQ-AQ;m4`z3pPdmw`}F__`LYwzj6oRJc~umtT*0cUxxAC@@vA|Q0JnmZc@bQ2%egL zcHEzRzU<$9h=0gmq|X5lXnK6T7$SppY+NbbYVHVLhFZgFzVjX8IKE$sV;ekSmkp=e zG;(GzZXB*>YP`-6_D`JLm@=CNKOxMy)FrYF@sC>AhTR97F%AkF_H1jlMm|Q7@}h+6 zDDWQDbl>LjmiFeMiW%l4hlMI6gtXg7&>!EaV2}O-=Dr&I3~d|9wZpk0OlsX(gH& zT`nZ-*FV2q>vuo&kZv(_zK6gAibp0&zO}>mq(js99&JKiUwT1B!{$T4qgokRY&^Bd z>rs9yDQegE{P{4$*gq;uc_P7ZT)5+>Q{_kSDq7-CF~ce zlaRTSgZZM*XS_K=L4CXmchFe;B+hvtOaH20Mz~j1Dv)og-3@q>{xHaOv>UvO{2=@B z5=Gc8aoWNyB01n`om45(<{pS2l#L1=vesk1HN@Pm=$Rru(Rb0QY`KE#y788I&a1I<<_kYyS@eaGD+KKiXHcX z({vtw_^@%YMxeae$6^Xt!xF^vz+z-V{JI@N~*o=g%8dP5jGi zofkLSPKW=o-jU$MC-3t6{c}3p# z?<$&fOc{}yqpv**jg`}g4&joe(h(xQZ!vb{k?c-uVTe55Z4BYzw-F^{fX zW&U*Va?a|jJ8FgCr)Vw>9|m2~|3$e+j(H!0UDDG1>dW^4_(-FUV`pPE@|dEuPX;iFC!kLcd)t&WTSn;?EL%I=OP}nT@kbK^eN;oTusl)*k4BfY*`m{hSZ_| zI(rkZ1&AU3Fz^2P(?SS-R`2bOAJQ)fyrAQ)(&+UOOxfksx6V*!=C2(+E*yUx$38*nH=$4;5H%GEGV$ zIbGn%O>EUi_6LJ^)mr^d)i@2jGh=(|PoX~8Ve4(5DuhoVpJx9%u)5(T^1s@ddGfbZ z;divx#|$wz3HNi>y}q?k8~G6x;S2u4Z-9$j=2)}5rNCPnx_+c7tbn~!ETrg%8i8*x zOy(0c%)oqjQ@AS=E5K`$tQxP~eFFQ)&`2{s@fq#6QRLx>aNYZlAJK3RXxO1exZgK< zd;9czjDvwo>ahd$&>Py-E%{>45qG+Nm^@fI3A-wsdSa)b3;ZRm{?p+IJ;XPv&(jm{ zmnvc$UYu=C6bEl5dPyK_MjZ7Y^1bnUEVn|B88+5j1`pwH6~(r!Ra3`0G`hILG-3_r zU6oqwe>5nQDVw+6ZLuNb@m-_$Ue8NJy|xj{7o8Uaz}K=IuKA>X;CV;EH+v!si_sqM z3l|=C-`IXM?) z6>4Cf9T_)5Gj?Hrv9A9gKYezr6PnX*y*rl)^)zd?N^u3l4!Yi+TC=rwGgH>A=l5_( zM|@x*t()(Ans6Rc5ZQL~FZfAE-l=lQ2;fUwR-EV`z^4nXxBXf^in?XHMt#2ZeK<$P=%CyF zvt-~D?FM6k9r4HuJMOW2X!;5~FyqGQ7T#GKJYSWtZ2fBR3RVM~KewNPT{1S;3m=^a zj&RqlyLak3##?*Z?XxBo`;W|?m1||tq0i2Gxn0s9;8*k$o=S*l;Cou6iN`B;15cCP z7JVz^LtVwvx2G~Dq+w_NV_3`=MgdRDmd|15To}9}j|T|xq`<+r zeltApSKtHx#{cX@nmq`&;jc z+A_hERr))JlWL*ArZ#45B8R|}%XiJXOp-8v9&FZj(W2l>tl68s+<%Ao%Fd21>Z^@- zSG9cKtZxw3pHBAv%M&ulkJy}{oH2hx*k8q+{@#oe`EFB^=%tdYsB_Y?R6D(YDdG9g z26d+_P~W&vAtLkF8~72^*J%#2=7cyvGU{IU$$$5=Q|;wXw!J~#S*iQ-m+ucyzpc#6 zcl?k5?7ZsR<0l$DVCOW~(>$v#68L+I8;a2>1Uz9ooj@)n+;4pQqs=uw)a5GdT5|B} zgfhOr-O4WiC;X0t*q~9R7sf?MEb54Q;TZHRLS>{a61x4_w{+GhgV&G zo9|{K>WoF~bI27t!MAESE=}~)06w7YuVBdiBAh4dz}IPB4nHX`x+M5z2%)a@+ts_Dw)!$zzvcUlB$h@#X>J8yu z0Qo8B{DFH|rz+kLJ+|8cuPTP6cI^&=9TH`%y<)|IJhIdgAG>-A@}|Nrnz4O#O-z}; z_0+g(5aImb6-T$de?d6M?+AbOyT#~_z5u;0Dgb$Xg|?-AAN2$=-Z^@29}R*Bp%2%8 z+&+wRXw*1-`#s;{+&j71!*1a}f|xSdb$din5A;hr$X;lC26oPX{rs;@emE~pKIp@Z zU4;8Q7&-TKzGwpX&~oMPet3m-DXVGHA$AP-(;<3#*W_d91HZf`ce?;^nc~Wgj+;Dg zGG(ps?5%yl@XOQ#9jsp#Vmz(bcTZTqM12*Rliwh*67^rA8)<9>#>i)g9jJdQ%eNc- zvk{Ti$syd|v4FAS=rz=tiYb#H4M$?U6@STI@W@QSc*Xh)UM19-DAbqy2oZvQ=ylti z8D>HKqsm#rpTT?0-H4*e+-GP%zfsszpXJCO(;{Z%hbX`meEuQZ zyA&{%*C#?du4$VV!_9`)x* zMIDVcd$v%YB6v%!;|i5IkKt$Np-%_94oLjtN8}HUnreL^>>D!iPdgBb{DkNxz4k|h z^D32njv4#7!!E1ws+?Ti2p&VDo?02l!StWj@5V|b8go(a!Dy^de5Db=l%+&E?n+qJ z;QJaOB#W)sAE2wn5olTj9*exxztrbE^iD56Gj4q|;#}27PS!r=$Uo?3bBSIp0Uj3_ zdvhq3un$nKBlB)sDdJkSyyB$KBfwWAvGL@@-M|-gakiWT1~`98**^0?6JbBTlCRAQ zB_j$`rb=BuF<1}YP36kg4Tn33hzwzs2ax`J+F9?<5a&Kkko& z9;xi?2>UJtUWn>YV9U)3ye6}iTRLnSc!*c=QE9gr;(FBwT90gE0E$3$zl51GYjv{H zs+Y*OXp4xL))>WAl40?%P= z()z1!f+_PIOS$=d7jTX8pn%(*O|Zk7^zeG)a;z)TbfRjW5$Y_}6*}I2vxS`&a{at8 zEFSe$+V%Z?($_G4Iw!Atul|ZU07lZYwDD=g>!K{f>)$?2V9FA$schsFFU%jQ+Ow<} z{UfOvRh=&Z&qE8pz%H`{`2gB#E4OrK)C*~E2)0-0!uKV(W7Fgo&td#xLsMR`fL9`O zc|2~q2tTgxbE|Im57;@8h>c?(!|->p-HX*%^C14FM{gztg&>|X8oE$?n-e%k`QSPK zYg5>dA-1n_Ww9^z6R9_+CTDJiY~s=_)jo)LRKIW)nN=5c#Rj<=Tcn0j*Q%)K7xsJG zOQtNWvDjkYKG=C`>0`Fzt6^7l)V$d&-xBuuJ=lCMZd#csE8HtisI^7if=2yzdY&J6 zc{!_Z?6!i0^Y4Czz4_sR`QWYodYO$MdF>>p9h`5jcZ4)#;-Xua?c6+xz~OXV0HpMhVoQ1CX*-HG?pGUi1(h2h7IO(^^C zm>?fUzhW$Y={@3A?KYp$MdjepjB;Wtq^za>&5y`c9saN#c96!a7NgrhIM@8z&o};8 zkw;U}2@Yv8CY*csuH~pA1^XEs179gj5>cyoit&|Kt9+MvlPmcPx#4x2725%orOvsEE9y5Os72K^89X)oj7}1LtZW zYdHKF%esv5w)>i3yRUXPzE6K8XsV8Rve>t>x!?%!w8|J)#X>2>2i^gjV)fo&ycoB_ zJQzFSm*_KR-=0fE9kjOlSi;dF*b%KKjF#^8sMk?Bm3{byJ@Rf+PhPTLdtig{o{%qV zRK~hAuF^U4V-`G{%3Kpq>1sl~+aW#IEg!%$sk3EWs@(}Ypj9RFQT!+HocgH9w7)cX zRYqLuk`g+2HLGpqcTTV%?pOX2ws$)(;%5V~C4xWSL!Zn^ZfAy?2>4l1Y~8;5R!muz z>%oE7Pw_t4cg0U~0}vk=aC5PGd;w2I>Y^KIT>}nLwUIbdv4Vh0ZvQ4NRspUNd)&RC zED`!6!}|NhTp`vEt=6~moF4p+!gYg&`Z@40Doamxo=bt9F=`3lJyi>wVftAkb72+y zwq~0B_wYpIW$pD!iVecy=NPY^zPRdx^{xDa&AT87^=S0rh(#X>^>y+aUN#&$fcTl? zMxylrWB5^-Uk9V>zd^rki_$%wSP#`H!>{Vi4)H2lbkxbJRbT+W{Ki_Vhg{>kc@T;lqB4{q1R1PFeTjow7IHc zgE`i-vL&w@g}^&2J5v`Q|8Kbb*IsRw*%&i}e3Zr?g_c7z;0tW?1uQZ@-ek(w1;?|B zet}Oh{Ilth@Fnm8ss|2R%CC+6$B(E;o4!1L2zZwnJ zH(*>P1>Tn|IF5Cry01O=rz7HejgQ=n!>NdO7I1wS+HeMWP>Ev}CR`%G1BwRjyH7PC zFRJTxX-d0-upd3iGiRy;c1PKA%eHNruv2Q>_N3J92XMvzMrYmW#4FpUnn6k!lrNImL&%1NofRvwaDKbsC_&`qxjyjf&kD zMYe1~e^iW@e?GGhyqa+7o~-IZ=q0U)v8E~!c$PFd?Eg>*dLuwD3F5RR+{dVGyGq<2 z{HJuZvFSAptUJ|qr&TBCz)v%zD&(5)G3}c5xB2d6!6M*&6hA8Ey(Qeks`~I}R^4j6 zPqeacMzaKXSF`I_E~5jyjcQlH>opx!81KAMq5d$$cgodUJ-)t2{W^cU%t6U`;BDgx zM#r%~sE^WERJQ$)G4xeb+r$Zn08yC1Vu0(r;Z@s;HRUGYAySPT; z&LHYItZlkO_}j+NUhSigDocQ06?3Y(!frs{77wzW&kBKl@vr=5KO6?TYPj@-b@LzK zPqpN_ifLKGIp_XoVjSZUPbv*ousKR2ek1uXmeg&5-_s3~q%RSG{_#g$zFJ4Pr%01M zP2!3V=HH5w{iwJE;sxr#hkVC(QJFH&)zXaGk~yX<|O`DqY5iKeI;RZjr;S}m4UEnNlk zDJHDsw)Yt72_>EO94KQ$K0#sk-C_-K)RoBpT+H5W1YDpryn64zt|F$aQmJ7Xwe?$FBl;ZqGRdktJE#62zr}KHFTVp}zY(K!Q@v#je$Vyc$iPG_;k*bL zzUo>p_zB&mMNaa@z!63kpAYS?MIJ!OCfcBT0sOFDE{{7Y2RxdHrCV#aJnV_7(9sef zNsJFU=Dq)q(^$Xyjaz&J^D>#Ts^oU7f$xaFqynUqH!j3}6w%hJDttNcV-6}(q0_qH zY4zXBvK6ie-{c`xteLO>@gF}T;uF5v+8FctpTNzYTN?bgc2i5@`Y8%imb>7;ZN)>v z{mzZ6>*kg4yv(`_jCeglp7E^fsI2u%^h>?3Oqxo#=YEQ3acm*hoo>e~*G$6x1dZc& z1sh6$cd4t-UOb!yJ1>8pR_OH>{3prXXi=~resA#Ee@mqW_A3~EXpPJ(1;6e3K3?l_ z7xH8#+L}!qufPjQahS@d6XsEAIO{_0O4xlZ&CUxUcM%s_eYJk4kQjvL4cWMk#S-d7 zW$DjnHh?cSr!O1a(uwCe$GWAswh_*?TtzW`GD_fS_?y_Dgagkhd%IPAS^&M!{N!;w z`W|oryXK<{L#&8bY!hq0*Ixq@(QXPb9Me-=E8k;tVV&(0v9XYj&m<}n#|Pc0&BCYDc?`ZP)$+}`8*hyQJf(3<_u^)moPW@t<4E<8ebyqHuC5*S)Alun9g!@{~@h`Fv z#lBhXT@~RG5wP>JKANeUpM%Fy(0DYfuot+;e4o4VfvgFp?A_$~?vy`xO7f;7iYCgy z*CO6W{-_^Ce5tieC_OC+cw9Z$=p1>ijywIimM?53Rd__{c!=_R6*!;E6=vAcDpea`clzc(_ zK~25DeRUt|wKNWCUyri_Zqt*Qp0WayqbPi zj(-n8pH`gQV%Sqc~sN#jV-GCAhZG9K#$cX>$%wo#`pDO$||7=7D^ibxL z+EUUE@Jedzwuz)w5t!HQ?|1L|3A?7}84_?jlaRmKSExNy10F&{PwdYpIoK7gA8?2bS`XwK_ry)Ou3 ze9E>ka(W2o_PKdKw6lZVqAdSl7iI~+WAk2X_n&6iJ&8AN3C_dNd&6y)c5UH+9aBr& zE$#Ca^DW79lU*eh`lGYt!mgZZ749^a z3lZ*(8rfgnKsZm$K&$FczZ2?67j4b#c1j_fCw(VVh3pTWKti>V65Rwlt(KC+UYG(u zX?HTtC}<_l7dCjq-9Bp#zfEQ_StH+3#FVXu8iTJA>h;)vzkK6;olxh}F>-%i3-J|Y zXH?T0CD?HTinLhiDEyKd=e(s#2qDk9)|W->1@;LV*+-4aH6i|#TW#<#qy_Phao#d+ zk|^pM^*65%h-e27WR%gC_2nh<$c8y@j&3hN`;F>ve~Af#eySfV|H?apIs=V`_hjS4 zo0ziY$L%uiG0;EK2KU8f?~%WiNHwq34hFBK))KChp^o}44gTzP1BvjHLQ97(A^OJ{DX!gz>%41c_0djiJ)tFy#c846RT7Hl{b$M^XcMSPt!y=2z4vydr)uiRP z{#>YmK0IVUBO==Q@4dP=dHe#T5EqgT+!}t6fw*1buInfVux#juD*jF zP!99&>fDHRB%VKWEthcKuY&&`uQWcaL#dt+aR1t8%V60ZXs^YTez@B?tOIGmNM-hS zXutO1&!-hM&_3OLd-i1P1%BZcPtB#DME*%RCjR{{Uc&iha=p?k2=}WIm((H;cV{kThwB& zmmWg|9!~vmMbP4IeDCdyMV=}2O;T+@-GN|NRR>PRed5`T{$gbyzUeu9o-FE5@;ytamF(s_>1YXxON{7J%Kc=sr zT3qE1KOt&4Z~C=k0^h4oYpDK?It$GdmByxAv+|PJNl7gL;|MIofN(wxxfsb0z^jtCC_dI~z(i-bu z%6;VW6Mxj*@V@%Op&kRC*H-@Rnlx|l{L(YOv&uBU3#zn684KM;J)k~6&x*avVK2xN zl*VIL_`9k=;KWNc#MczLrg!baz`1;8Z$dsk1g~%UUF=ZcW#s=1QhfWQ?!&&Ycxf)! z`x88(JnPPRvKN8p6wTieCP>H&>pcO7>x5gM|22t@?Od_F3$MFub(n-h-a* zfBcB9#_1p@cGQuoza?A8Dj;qwdf4tKOQO)8I3u)x6)| zzChS-y0J{Tay{_1(qPYMdmrqmM6mZ%=O*OwNrwkhxA746V@vPsjx9poP0BI3sQxMV zN1Y*tpNtdoOH_#s@)xJz7ggN)3^6T6(QTPP|(|X4ual}iC5o+?E&A~frOrG@lZJdDj?^6w?|G<3c1WfGB zeU9;>$9!Mn?*czdGvIX2P((Z@>)=H;w}svsSey-cydHK_!fM{YMkLrF zm2+F3ot%Q-P?T(5yfZi*&r@Rus?4zuQb8(qdG>zPRgwi4Xhf?(A7ze~mcE|?Ue#6> za1uHMoOX zrdpx;D&*o#jCWenQ++S!m(1c@sZGtOn^isJ>(zJ=?~{M!_qhEJ&WREAUM%wU7``uk z^<4J>aoBm1mf5Q`SMc5{OP4K`@j=~-c3*^0lLqn?RNa{S2Sy0@OKO|w?Hz$%mnfN( zQZh$ARW$T`gu(~pn8#&XQ|7)mi%n^`$zVuNk+(z_Xbot8o0f1%1>I)Ec>- z3;UxMXt?Ed5`hn4=xqodCBz3;Opf&&B8pcP9YrXuc3*fy---o5|XrX_qXS#D#YSDhfy(`}~Zo&GXCIt1H z?#Fz|yq;>l?}Yf1KC2?+c>y>^Wp{?@=n&!lmUgK)sbZ`j$?v_Mr(=r$<+V;#9Qe5g z{#P|Wy05eg>q;-=$~J?y;J4*&9Si3513sjNC-=1a!mo(!;Z0#Xh`gy;@6;Z?jmS69 zd08Uk&wl2QG6#PJF;+Mk=BB2L%Re*HA76FdvULOQ@QT@iY+ zhwt9wUx;AYxfNJ%jA6I$7351FHs||eyN%O&tzCLw_Pg& z`7)j1=*pAH_&uXN-};CH_Rm|2S$wNe0-mHRE|Rt@2CqflcS7fh1oq)6U(Kd1?Lz)Z z_GdGziXZ%O6AcaC zuZ$$%5Usu!aoM%dNAjZE`wK0VnKJ*G*E{+M_utobWj|Jv#P&5#$kLvgI= zT_J@~_ZdJ@dEe(g=Q`I}Zk#8o5;bAIy@V|rR=sxk+lP4yLSIF_Zfu30Q`7&QyT=>+ zg33!#@g^6-JzK~6R-3K`FD9{lhX36{{Jv!A#@$zcpJvNsX(h*Jmw;1fmh%@~wc+bL%VT$ zen%^T*UmXh7fJ%orXtcb$yx=tapuz1}|JTdFyIHW77; zbN-?>jhC>adO`J>#*XkKCIxlLO@w|ROTF5`Q@3!=7)^g2Kl3BsW9?Q+dr*{&{XOC$ zZ0v)%4cem1b*Y3oHzu3!I{oGWK4PpHKKUjcakW^QKfjL_)>q$poT>cX7vG}4cpEK&iqe7yurmzFZngIlz#&?crG6i(;5RkROPqSrz*GD` zs_|a7AGpZ4Pkn!a3GA{~>xBjFlBkc-tyS1AAy3E`eYtDonTEV6Rjp^C&NQCaP|)z| zg)e$|{>XJ5Z+($xCdnyFcGRN&NaDry{nrf<4;kOQ7ARf^ebVH-d|&Uq>D=@%4`TQcgr&GuJ4Wh{ceSiN;N*xQ8p);d=O_mw2q;QgE`3^jitZ*Tl&o2JY{ z>_6$1!t_xU#DlEIAN!j02*1ZzLAuO~^Q#(ia%inOa3r%e*!}%O?3YYrefFtj;1c3@=G|17kMpAxt14 z;XC3B)$w$9(LIFvJ?8Ft5gEe$l6(C-ItaX{O~l@hd)v_8W2yM~HtjxvhkFt7uIv{0 z4x!PH@6A8z{>P8#dpxWEcN;v2x{m>+PjZeela)3tOj9BB8J=)szEUH^i617#syVTb zW-{vUi_Br?Z9nr}zHyzv&wigBT5nIdkMFko*rg=Gywe*=*Molm|IpG_lk6N2A8EB# zq#CbE#`p8*Jqm6BUZ<{DV6u)Mc-Z_xVbGU)@L2NB3ps8VqYlunHa;WwAMme@xaKCe zrPz0A1JecvKRmzAHUBODqH&H~?_9ojARl;a`SAO*yEnp)GpjW>RJ#)TWmnuPP$ASM zFhv~aOEd^|hi3biDHdUUSybQVNPXlvjooymqj-QPl>3VEhsA-%>5W$`eRhC9)v0|I z<`)h=T-#|t_uN`MKTYm+smVR$#|$=*uk;&X4!CAoDqWKUyoyIwcj8C{@`%hs(ax7E zs_}gu#hjL=*cM@wJ){@n}zgkupu$*Pq;K3E1jAX8Je=Ex23 z5c-J+!Xkd7-p|Q+-N=ch(037jQ!U{pA*|QwU#i*N(07`i<=LpW$R|=I()l<(A^z3g zx`3RzkIBXuEUjarkNTmy0R`mLb1I{oz(|O%M8E zW+8b>HUjgLNj{I3^k<+hz<7`5$6rqgfA6XNVQMvStHSZq!L5pfI*J<(cJ6b8y8q8k z{iD5zrxc&Avajh!zDw8cGpXe$cu*BZUGi&B;AEQ3ThZN{P@hFh3@@ns0bIyXQJ>zj z0=%cr*#l>s%i(7CdQ}w<(f(eef0ZOLhIO6%Ah; z|Kmq2t})gw>xCWBA=ivu5h2VaOK@bJ?ySLczISOp>J9&_Q@_^i(s4q)l!d8xnmpok zJ2!D_Ic?}QbFoqDaUnwA+!J$=U1wk?>G6fnx5xnh&+{%Vjpd#mbu+t z3jE^OzFnX>2Yyn$BTcGx3G9Zf?uYMzh0)N9`a#Da@j0xw)1SNjC|QZl9LDo1*W9p?mxW!X^VccdJVm(2>Z)?w8?kPz59ORn zaw_~3qhnvp!&1ULrQcO2*B(cFsmjU1VO2^&WZqbbOj|e|QRlzyd*}0Zrs)^tMu6>HDX#go8q=Kdn}PWy3A4gJ3z^vVyx`(`HWelP?c zOMA7T;p!U|I|8rtyxH_ZCC=ebc-r^y9tISMn>P z#7rCT9LAMt8^rg(Z(9!BnvLQk^f%jbgxd5F;`LXeDQz3T_uHyfjM5(>uWfyGGFUYU zeuE@WZ7e&9_}amJr|c5KJZri`n2S&qco;M9vD;?}eU%1RxaVzk2zH+tJF8ZK{HLW= z^rw3YrFfoG3aQx;_&) zN;^LH%#LQ%6Y47JkBdCU`7!wDRGf4Y@w36TH##3>VXyT0^eNdnz*VddK@)SAfGh1T z(W|~$Aig&5zggBZ*20!)$~WrYu7N!WM19d0<0JHwE^XL!>k#aSpioT1al*YknhVW^U4LQS z7+>_KPcgu^%B=ECtRUP!PdjkOm@6umEz1qJsje~wz7hAn{P1!b>BJP?w*U?KQtQvd7vtu3${EJw4H1QG0?#6P>Ar-~52N!}G-Zqtmq zK)ymzzwfCz_&o1Z$ZAvYl4RQ|rqosNr=|m<0&DldPUx-`YLQ%l`aH?F-AbFXVfWNt zKa$ps#^1|I>iNoN122hv6V=eK0DrDj&l^m-gg!!%sD7DjZ6CI*y7kDjPiCd~`&|MX zbMp~DYu#@8-5iMc$aK{0kar*A8?nwuPf06k*s|sNbsS5^uwSHP(folT_+dMj1%(=f z`XB0YqbN~TLf<51v_UEpc-8&GcCRWk?5}i{?W2RUbIbcXbcwwN{HX3R zx48{Ls58-_3uRY-g`XDr8n$6v9eG}5$+LOJozPF6j!haK+^B~V48Huif(Ld_Z@{Yd z5}z;j!)xPKj)jE&u%6r-TYuyC7CYWmy{-!Wfn|2=6(tAr7{osLk1w%UP}%{GPeNs?JM}SU=4piB78nMX-M<<#A*QLj7A{%kHr`Nv0pLQvmMdNu$nhxUrI8RQYv0*;_um?=1zmsmW;3bs=<@0lrMj(GO^Q!hH z%#%CW`M@Blhb@!0Mfjchf%rkXz<43`3?UyURb=ZXfp|`1L$#*hIrtIAwkL&RqF7IT zrpj`?<;i%TEt-1d82BafzZSXs@mLS#CcZzlE8*vrulqTzct@DetmgP#B$Lp$ePfhF zzKHy&e#q-!9trgK*-CYiTPeufYrN5T5ZAfnzx7(tVR?2kcy8-0Su@OZ0&lX2*Ntl{ zen+}8SHv%o(08;#vhiU;Gh3!x>Is!uL+?e6>dlwhqK`;=Nz9K5C&K+2gR5SoXX2bP z)`PGs?X!}od|x5aq#hl9$V-wbxm(jWIOVBdVcq) zPYC#tUU^|fWE0{6!_^;FxSYbi(z*TBJ;w0+G*V@I$#U@FDrfS{L~`b^&zp8vZ(D&n zXx%kucD#)PAIajGmu|}=^nnd&+>|*)=%3DS*zNQg^+{SsHv1a|BhRH~T5-n46Zn;q zKhDxyi#(teIYDm88N9E~_q93iOo5MN_WD1sAk2B^qHkTQ_7C|nYN0umI!?GBv)NaK zTL}6hckr&{)-J+&x_%D$f6I9Px4&IKi`ON9M^yYgwrN)>crB8UV@KO-#MO$GPc{t3 z66$?!iszNpB5r5SNk^JB;Qft+SN1(hL4A&KNPPCYH1H6*!KZAuyv6e~TdN*vZUc%-Q3Y>my7N%N@_z8Dy4mXnK6ZgeliU3zENdn5-kQZztdjvWw#=U^ z8NT)eaE{FBBfpmt>L~e6xp%)hk9ePXBDeE&Ww;wQZ&Mjc|=vb+KR^2sImKBEIS zw)Cgr`4m<2g5T^T%nN*YaCor?{G`$=`N5bGLSJ=c{j|9{{+?3xIrStBIM=vD>dqA= z@`;A9ao+U4o;RQw5$=B%HZ9P84}FzPa9MwQHE_7R zQOS(F2K13BolqCH0(^;7r&2+;Q3+et7OLz_QGz?XqU0?U?7IV!O+xeJAX`2B%Qi z>;!l%4Wqb7;bq7($yzKv?-U2#$yg*@<8~>|Iio?zq(1}rS^dJ4@r6v_IivNhD}8^1 z2TCh#6YT2pcHRfc=(E$?SG29$75>}$cIaurrFb8+ z10FZBk0UOZRz2XlT@UBp@XdT#KNol%MhvH3$N&BL|0g?Kc&@ao4ZNK0h6VGVYjF+@ zDvTXEt{_g=e7=W!!F|H>uGkQ1G8Y2bEV4f|9&tGwf_*4v7Dj*d49Q zSP#2I7wB5%{1oR{{i9dG2Lb3YeXBiHI2-#Rubi^q(gJxr@`4mDOGCVm{?=u}+=nrj zQR{w^jZF{oJ$e)BoXQP&9UQ z^3X=u75OP!AG7mMz7u$gumzri`=RHS#cl8XTTlm~_RoLO)e_(W19?3oU%nQ$tiv5` zzQYH6Fa4uh#>qh75Um|!R&~{QUrN8Egd4&ZpyC-6Ob;2~=6%GO4s&5)!-Te=B zmez-+xM-WfV=|X#bN`_MmnnDu8QQ%I=T9Zaxr!?uepssb-HrVe8e29VJF%0mu!k)h zy$furvnI^>tdSgV_&tL)N;!4Q5YOoZeX%p^ z#T;`(9XXqMhiLB7Pxdi!G zot6;o;zNjU>GN++e_jT^#B6!+V7wadW2wLI9RE7RoyhBG?JIcLI!l;K z&~?wAO29`d|7uK(Y>+Rov5Oo|+)J1XQ8who#&U%&mqd|B+hP+kNs<+TP*^fMp zI(4v{TEo7p*ZKnwFax+cmX;%bq~|akd{t-!-}i!hK+h2Ts>-Fvv6Nz*OOjyXnI9fl zKViG0CNc%+7bRU*8?&DU&u3EGIJ?RQyqe~t@cD0t!G|iPNzraUC)5R&iLKLl0l#gt zt+w^X4Dg(aJFi6HdDwC4O|u7O^T0FmEL$IeF7yjoU8>?cq=<8-z4rWul`X($N;h6C z%6CLQMM5J`Sbh$9Q5Ne?dHy`|^5p0K?<)ClZlpcJdl&sB++QbgyUk!b;!nwltF^Vp z&LA2F_bPlJuYi6T%gf|)^Po?Uw!@$K;sM@QioE{Ms2g}5!H;q4olhW7&hT9UcIkgP+j#pltGf z37&$i7iFfjUJv?~FYz+24*5In(V7=Y1;9}>z1(Ape^94ucW83yxGi`c74Hts&p%-w zwC;tibhm6~%lfv@ewbwdU(5WnE~WiJ{g!mLlJEK=^t~~g9xlxhgP+lBJ8%1(1$|~M z(x41y7|q#FeJ;6Y;%dR!qj@rd+&#nd7%SH`sLscc$yUd(c0FL#u)Z z3AoVgvrFNo2=v!zYfSH*jli5yR@o;fx(0BXY?t)ej@QUv($0!5=yVZb%jToY4mIvU z{6k6fGyG1*c~j-xt+#3l>t)!%k)^yD=Us#`;WuMOm{W7<*UV=!a1nVS%kq{!^w0Xb z?vXJ};DhLVcJs9p`e7;7(2YK}|JQpi{_t?9g$lFr(yDl{d1CJsuNc)u% z47+2l7=L;0D)?F5@oxJYXMtCF-K=Z3DFSaAq=tP}`$(v3RY-eyG7)x=75wgE=^la~ zc(i(TP&eWcz3pw)d|S{TE$P&x-~Fx{>-d{#UcVJQ6^$=!W7bCCS^Y<4WQ`oyDTAVA ze#1{-hbRwgCBk>WPFPkfbv7)9Uo#ZgVVwJzkjHY4_*BIWzTYg#E1_H*cG5KRE$_z* zunU&C%<^Y934M~sZs=Sat6|F)Nxv>Gnsn#V>En`5-GD%lLbdP=CMw`}=to`mGtV zJ6HMsUzy(-GiHw z{FZj8{HcTP$SWHBxNEpe3!l5B>tB!VBGfIfy(8Y}hWwjqWAvg=M_}h@D+HW%?*o4u zdtG^@KZW&{J$7%t;V1Opc6a5buh$6kp49_gmmEV~iuQ|wVK-~Udm{CFd+nEDE~467 zkIvv`;3$dgaqfu>oM)15kcoMW68@j$>Tu*4^o?%jD(g{<{W2V?e^5L)hv&O?+E;C} z57vLf<-rbt609$8a9IX7-e1BXBq59rJ7lYUZ#m^E_SfjM{rAys4?3bZYspXzm@Du9F9E&D(5f7;R^_VISgT9JNC=9mh zA-=E}N`C%Kh2R%jN4vfl(Acu%*5K*yJ z0&KuLDof?0c-#kGlP%2eyY>ZmTypGcanS?dBb_3zJdL}+hdf)_xSI&~y|eV(O>R~p zURtzMY~uMS`oLs%wtnXCL%d`pQ~o_r3iyl^a7ndz72-cqx9{D63D_0W#uKb+Vx8>+ z4U^Q{SYPtbwg;>Y;Jw5o{srvw1Ft|boU@7+@?^^rrpG^Zw367e!eW_fEq>rP!#r-! zUIpNFturF|H3w0Lpu>A#zO)gtVs*!>$x+}tQsD1H*A$R%l&mi1%RGjBiku&*_~b?4 zaeYf;)wPDOv$B8l4W(kCUouyPE9#Qq7i2fTxA^=Tc#&DNY47+7oG0DrBKt>9urn%7 z58jUX5qL=ZpAWgnIKOgAI);+VVVCu{JI*$kB7Y{);rx01HpHW1KRu~yYW3K%h@OD8 z!3?2K^&*GT;=*dStm=M4%h9eB`Zud^G(#7Do!h1Hz5ZeX50=UOx0eh10p* z<vAEHoYVLF9?}yAQzxyUy9H81)bKP*X{M*Fq2AVimp$yJ>#R51?oJ2D`pP zp51J4;q^R0*n3L2Y@vD@^o=xqRKe{~nRbyPzlfw{v?kL$GhW%psLhV%~o6 zc(U?YoO9l1+6nY0;0>g!iwrpUg`&N7> z`UELgt_&O-u*QD8d2Abe26k0Pz)ZgSKF%SXGcaY=1@$qS&xT#sH zKh|$`fge#lzOLuV9Q?HEO!kMO=Y+g)UZB@CALQ+obh7qvM_FQhM~;<@{sV4Ntgnip z{{rr?jy<5A`4{mHpZenA0TI|`A@i9YPJ7g|DJ(Df*hR;Apsm_aOV;va%j%r#4@zD{ zeT>-N#D_M;h#w@xR6Rm zs|Wu64Lhd7eQ+UH3+8hRtTTW4{5kBN!kxdv9;<`cvPeu%+jTGOm(j^J58PMb@5!q( z@;}ER4{f!(WpYCT=JLpf#F}*-#P`w4hLtbhCDip!=Ez>zj{T!g^Sx4&1`lqc@>*(q zV=`N2C61nqwnp8B?$C;LO$DfvFmGD&`luxM4aHB{DS~3a`;M*UjqeHfDQOFQUB%sv zdNzvD9U8q8eo=bC*DF3xP>)CxW@!I-k3MP79>WjLlQ@r-yHb2yw-f$;>5RbVM}&DI z1{dgIOThb?r9Zu-7(}RNmAigpkqqJqVdeF9rFc;M%Q03_qcx3DEcP=_#o%)X-u}t~I zbF2V(*LJs*fZcNNcLtMY0xJmj6Us_6uQ|#A-;nr+%S+_2PAcba>8@>uKlM1kRXd>8 z3_Xo_IQwi1KG#3T-$%KIybx(H>WWFnSmQGTJ`OzXF&T(;#1Tc)@jf6gm{d)`|aA8|N;ww_6x2dxh@QB{kE{&^Uh|}fLZ9Cp(V}D$Y2Y)|03A;>bE;r6N zfw|taWnXM;b|HVD`rzv1;ThmD^2yCYhM^t!{=`F3jT;dUs{Z5(eXr)jmW@taOnh(` z@v_#yP^Za7?1!0?-@Eb>%BR<^>0@Rum!RwRMVr4Ij{hJ}BqkepL7o@wCe9Y{%~-h_|fU9rC3!3G;HZ zY>V7W2Mw)YA1z@9DWTsnaD zW`!?!H?jnEF*~0f-rG>_$vfyhMBvwBBdJlPg3BT|~)FoI~g|Lam z8pR+D$6XIUC8D&k*^e+cL8eym+>LbLX{z4wZ+AZ; zj+c;YR`xSS9#fDjHT19*>>hP2Eypec>$OO9>EtytLYyqCI-$yed<)N}XLfe=umkds z+>GMHfq%tIn-*sD<>GUx2GYhAu$z3YCUJZNggJi~&ugf2;(3{T-5c`e5!b7Cm!v1& zMjxz*^+WA58xWT-Y^~%y7oCH@KXl79vKu_8;NqO;89cB9s)Zgt(gEPZ7k(LkI5`76 zZ?r$4cf~RA0t+v%J#$tY`z3xSnrn9k`Zz^)i5dHEK;B%lBy-nTIPzio$F%isUq^m# z(X*|+6R!{tE6*3**1m&yPUPFwzvnlDFOYqBqE3DX>NbrY#C{)Ig!9QC{d_**h3YAFa?1g)OV7s$=(TR zz$pvsB5TZy!8_Y@i|)<3jyimDed1)+Z}4_9^xmRBk>Fp%#pZ8%M*p{7i~8K;wbK*$ zCo^XAC(anuGf}QpQT7iaZl+IgI&%C2-Xhu5o*%n_ydT}y?Ac03=(%LwjkP!kE#`bUQ?TgPDv8(S+Wi0XuRHG&6c${slNJEkNPR=P2XT1Fzu(qhY=XL0`enPABU*&{&(uf%#0tRw@_ct)Q0t3$h2!YK?`y_k z$IZBpKATYo|1RA-`D>dX;#=G9U7BfPIG3{b$8Ji}33ad{ds;X3BYsr5K@sGi#^+Mu zJNM?_A;@2fIVw6B29MggR0S8S;-?^Mw1hm#Jj+ZwBA3v1)9TXEow? z!G=}(S6y&k?53GEx-`PQ0!{0B+*E=47&3`*S4@HX#8#I!a-JQ*^EK~lyZsgW&qqys z>1&9(X|=JC{tw#VMQI{*`8REZy8a_$8$?$jzLno7z50p^{2;}k{Kg%^ylidX^}VYJ zb;b0i%Z}7{sN2xb3H$1G2D~e4^%453d%#7^*?CRd)7{wr&NB_Op51+iz8RxG+-@pb@Yi&kvWr`cfxqPo9kb(IkVjUR zZ?~hphMm>>`Fe7B3wSy*PmZv@1Yz!jILFU7gt}q{(({lr_IMweK%R;DVdUNEqPwG) zj^P}tTyiNDC)B&E%Q&51G!H$O=Rd;XZv-BNTgaN@`2hTkrp!O%#KI9g-|<*~=_KS+ z#FILWeB42OfYYpl;89D7c1D*JpBL!6_r)XR#Y~Lfbwfj#j^ZW7lai@(p5( z^8+r~!VajUSGPANzz)lQnj^>U3V0bx`WB@_Bj^{WYVMknh=d)bet2_` z;eoiC+VEvhP80!ORULoQ`5S)IZ12fAMSYw*>iOqxKN}GDEB6)uD%uEq%xvwOT^ove z5|J@oyP~h9*e|WghY=P*Snpk8KX(Wd?x&Es$S631`WbqL(e`tOsLNJ~c(Jf$HTK^^ z;=plECH8(;&9zPkaP7x>^Z(m&GSLw0MGd%SeDW*Ki}rZ#7FRdeW%aPiGWi)j{JpE1 zDsMI75qe0BQu!L_hw3u*t;`^-hi;$rgQO;`hj#5cH~o3|CCRj&VoSo@b#co}5{bUB zGa`xVWW9XgQ`zc^b1BKWc%IT4@#d>7`2TSmo3q4vw9Zp6Z)O5NYa~0G3NJz(h|(*I z8Iv&Bd4mX<=zH1Wk3wDHG zR6q3Y>sOUIeE)?XCV8=_TTynZ>@yufyd-hEvGz*+*&I-wx! zw}Wu+Z#>5j$5r6bcod=|<6H2&%8#8iUl*3JWs>oWrp^U7|2yw@mOI_@A%4eZ^0&Y- z!tYo=QM;q5j69|4-B5k?zwk5eCe~r^a=|}aN*EmWy@@=szT5Uw!IL=WCZrXKGh(n) zn)`GuYVE)S=p8-j^5Q)3s#e_3t}nmQ&#AdNNiy^>;y8n}ukE4dQ4iz1c!%pS1Lsn{ zv22mhAMj%8S|JamPXV9VeY)xCmj(Q$a_`>u9&O+O!=Tdz8HZ3`O{y+y8Rf>luQm^J z-?Uu``*K1;I8PM&U}LV{v0yP_&RkdG`PDHvcj{aU+jtYfD=;}%l&yb2xKFM>GnxDr zc%C61U;mC5c1v`9YVBq*oNM}8!Pl;SKX(XyT}^vc3T8q2jpK zdA|X87Tsy(ax)3wU+N={3vt${%VpZCHRuuQAZ6TA7gZ@DKc{m(aQ%5r)PGTmOv$g7 z(AcsvNr`a zS2VXhM1PVJ<#)3@H|!wI{c`I`Kh%+EIqj4+bAlh!=BVkq&y9G+#8px;H6HrNx5x5~ zS{I&I-F&(*FAw`mDR$n{F#*4>s(bKaQWf&Rl#g3{E)Ns#AOA5yeYc{5E!%`sifY1< zk25{nZdkt+>#ZJgY0|<2xKaO9^R8Sw)VWLja9e!%BJ89IOPDYJJ8+`D{@4tVm_}c4)c?J7weKW!d`P!TuN-??90JM@brL?;`>@RtzsHo2+cLfx-=}Jk zbs%vPJQlh2^^VRs$jr22QfMypUD4u$)0ywv|Kmp}mTv+z_Cs%Vm)JcGqM-kP*^)~0 z{tfcIt1s|6CY63N2%xj7z45Eejm$Q;Io)b8npbPHPDZyo%h3iH*r| z;LFJsI&FUmb$PnF<}r%)n>c&3=&ANv7fVI0Iu(Ux1&rDGU4N5(n9&zkOUk3i@Nr6H{O{ zg1QQ62_uaP1K0@z%axXK>EKC4$0{#YccK4T&D&H=y%2p_3idrEBT?WPCEWd$Qzubh zq#k43<@+3bvGneBX@9v;hv59}Q)6)#;$yN+%ZH?Y$cHhu__Rx3VDrURQ{#WPo$kim z5S7|ju6%^~237@2uH4v${1W50#=eUqh^N(-E+!qWB^w-)zW3yhPG# z>{;-Ggy-ejCe^Et?=uUO;V(~xy<+xGTyFgdeKRQ9^HlEO99y=G(dyddPng4#-QLKx z2zdpjs;0|75yHF%HOBcDo;bf2S|_(3bVI&}FF>Cb#e@8g!-G<>%fYCNc5u?wBsJ%< zW&6j$Io}q6N2BQ-e9y_i`$jB1;TSFwmyEd2=6HsUZ%+W;)&0D zUVoI`4!+(lKGQ~0kx(breAzHJ*pe-aNL`ewc1M4K#?y!Ahr{vQ77Z6DWh)Uk(#<*7 zN4H`fOz4XBsW*Y&b&lw9@;4%XAy*jNoAw#&sKOT`&_%dM#^|SNSHe=%ty!FGN#@!N zp3S6wv%~Ta$nz_SngPJ;&Zm2 z4(z0LuiZv5!acFJh4-fCT?zLTof3L@vxYFodT`yW_9XHd%vWOxSBwdB!*$h~5+8%7 zW6{3t^7h6#b@_nKXR{}wx6*%+xuup0}8h3?-*f3e|C z*Vwjv;1+qF>l~ivpx2}ajccc01OLj_$nN|c3%@CL-FH?s3ePVz8M3C&6ZnzU^3dst z26#0BZpjeeh%Vs!>5h$ zb7jEac8>ebyI8`{8gbjL`qYN}o3VZVf#>mvUu=VvX|X5pyec7QC#)0@&$y1cZT^}M zT%pl6E7qtBUW|JC<>a2Dgu3;pf+t0f!LvFBRlW7;0FR~Vf3Z;YJNlI6t9wta4AsN) z59@Q^vO^yNhrC@v7YpZ+aVtZ1;0Efuga_I=b&8PBGYuJjvSI}R2l4amc=gwlE$ep1 zZ%_XVzW0kbVMqnCsHI zM8P!JRg?Q4czl&$r^H8I#xGa`yhf9fDt)L2yrNMN*m3(_GxUUymUV6=@D`~x;-Y9U z&Xvaf4%KA@JgV?+|DWL{K6vj(4VU~2a4v1ihpxEQ;d9NagnyKP|O+M+iKe_waS0X#BnU z+vUuqLf{RkOGdg2D^9azi9N&n-7X@YQJp#&Rs8|`sk1TfPh2YUtO8>z{-ke#-_Z}e zw$;2J`7vgk!TY<<@O;ckv{`)m5E$&hugDuzrygxysLN!DJ(i+EFPO4Q(N2l#q5 z^3v-khoMh;wx*TgB-96K+aH{5-2%Hs`;ss9XE9-3b#tgszCG+5ZNa3TbO8JWb7Du< zJsKfjmE!L+K)BC>7B^(|nmBiSzmb*L8p7Q1V6n%qCc%^1A1pa?G90|OmSnnWrUd+` zn%l(%OC-TdYONA_V!(pmRJvwzE_4fUijEn_T-j>$i_jxNN7m1m z9i#jzP9eJba0N63@3o4x+hjA{Ag%+Rqq6j>ze!BVj-Yvi< z6np*%9dqzFYQ6#YYd)j?gB)l&er^W&odpIXk3|{4Uz840JF*4%NNZPl)pzNLs}0U* zTD~~wi}m=k>`F!x@R+vAN~`$|*dML@B2jr$_;m~SlUFxu0MD3;WfV0Q5c*$Yl33g| z_+0JnGQJn*;a5$!yBayP;Q1+(e<=-bUiwMgWFM zru-0vBk*J5$0InjW}wgV=1l5|Lc)D{A5F_||HS^YzSP&i4(xlKLOR?eV&V zdcd1Yt3A%^K|lUE_;3FKURv5>OwTT#aG&6w%`rPxfJd@C)i9H>3-w%X!wvSNH{iA8 z?#7I?>WpALjRu)(++l~6O1@9HI3V7VsXf2STLpex%U9`*{u0Fd0%A*k+rGy4YbH9& z_)1_uO~0^|E?U8lnQGH=N^SA{s=5iMin$5%J6`QO*hYqZ(%z-aIZy{brLbf@f5|q? z`Pa(w|9GC8pdY@4*+u;9_}}W!kq=i?uL7silFHv&-$8y?&x2C0#({cA=_3`D(>k!f zcJ1-IPo?4f>o`m8+*3oC59VaFsb7;YFG26n6UiXxuO6SE_g81Ek2dwW{KM13|M4R< zh33Sj7Q%fJvkfWta>2(lyJru4y$%1ov`pgL&X**%?C|VL=fjoA3oqLxn%Y5_OTx_d z8NbTHC3!YTV4aymt;-}!z&E?^`hQ#n1Ne`2spa#I zHHiDkavG0MazKw&BA+VjkAm+u;^#QL&Dyta zWQNX(_ekRJU8R5dht?DN>I{a<{GLKjO@~jM-PZ}cMwckuu%;I4$-2$!v{fH|)ML2w zFdrxUl#;UT;qEiQTNqq8j;j9+?ioo(y}8w~tgd%K z;2r3;jW4WY2=QjP&TNh@@Gf)A_-B3=;$n9R+KW%oBl!EID9=#`LcDU}OtZ)361J>q z^5fNVA@~KB)yKI%OOPivEi`;QqKk8>XK-F*{UQQ?|Jlu^(HuOgLcV*WaVPSY+IrpE zgBIZ1wa?9Jk=l?iGPIQDco~a&AN>_udz9r7uUTJmw#%Bt`#5erXLw^J;%hBg^&2sD zu)Cs(qo;5FgdcGZ=6tyM6Y5Hg{Z^-LUE9r;*Y#MgNlZfgqL#b&Wkx;fX-KbmH!Qk^ zc*0}YY`5?_=$nnyua(PFfqyCb4+f4}f>*S!ldt(y?~A_|?^l?a0Z!3AQ&{=rfe)Tn zK5?6HxHVg*ZCLh<<3%-FHge!;w$uYYr6(wPF`g6dr!czFpKg!$*Y$20-!P5!rIYV- z>{-p?yxguHe1&B#PJciU5ZwDvb!N(8yuSQtyJ79o|Z~ zXNxDHGIbRBCY$J%M^*WRd%!<`uW(j}pR^FQbdB5%yUnrmW%~XJ)YBQ3X!$E9LqE)2 z*By9C=(}+83RrNRaPJheHTEC574}HCwru~4G2m?4??qYJTHr|;V;@e;2q50&_wr`y=vgmg;*}{J!gn^|w*(;>yGMVx0U?!aS}UXRGb9;WypXjrWRV zV&9F52OD4RMBOgE;pIa^Spt5IPNKv-M4g0XoNQ9xU3TB0)r?ec-gT`I{GQ>{U&2Z_ zw<^||Z@();kEjlA=Wlg`e^q{XS1@f1JR+5R!=T0$cGm33lIYFmBalshKAG8r{s`0b zh#MdFfk%=$obg7+4g9UfsoxBRKUiOmHDVb)2XT%xBK*6pKN9A?6kmyMlm*Xcb*OKv z`+d}h=_z}Bm3WE2*ZrL7De)10+vI6{Qdtb*BTZc^Ijx(^z>;%9xi!pY-3Y%Ir7>977k;y3^1I z-djb^aOAl;{Ei7ncXd_-cqv_8-Hx&e#5c@p74F5HBKSko|FsFM1sLWYV_ds!8>TPbis#4C`#fL&ja7@4h0OXDiunl}mH5 zo=QG%x4a|F7uK=W99ve0^`bA2xx(E{xc9DF(tSV)bpUF-70*VdfIDd!j-~O+gn7RC z@)s+8v0gOyL8Y6uh>z9k{tUlgJHnRbzdP^i{t8?o_cHGXS*+r}`H|Gz55pw*JNc(G zpC4aCen6%0il3%1;vm%?x0s(hU?(XF0%rBOz?ZsD&aIk!is#TdBOxy}3OlXGpS1WX zmF+*RMvjY*f2xKbvbY?-Bkm&hfvVwi`ExAlzbJW+TRXL&ryADwjHNz=`xN>f*PIF< z+~4qfTL(`R@Q8lPiu6kad|-BA&BT?Zuq(!&HFhj(ho2N5w%pct4|>j8y1jCf3*o+j z>#vM*Ux80Hh?F}0gNHCT|8>7l;Xm-@ddp)~SR&vFEci%AMgJh5qDt;*D0={WO56Ri zNZA*5OYL0DIiX9i%W6gT`Y8sebI={zrxf**Fu#lT`B82d?7D4v)4uQ+;9-eBi*KAu z0FOaEq?msC1J139-9jF1X}k}0L2ty*qc}HYB`((=8pzjZbCV8S6a_D+uhnH*5K)5t zQq3l-d55rN^SQs$Uu}Ws^!%HC=)5Q3^$&%Ir&KKQ{UeQ+%R=Edm{anC6H$b^VSSJ4 z^#r_Udxui#9!kj5a;kSZHlZHLc%4+h$UWF?ovH_U2W}GX9S%_4WodxCs&T_-hc*l3 zrIkCnYZZ@xcV)GGbg>X5C=TzEj z*s^spxq$f)@iAlJ_{8`#@IY3#IVJNAVb|5FuAeR}f*qwiaEWY5$MZABrlfP$fbWpa z=sBGliTzVGq-LIK0bilm(mwTK7Iouf#z;}LIQoP1Y>OIR$bzR^C|l1eZ33^QtexQU zFokf>Y)QdhWdbj%+uQtw_YR>CR;F;f_853`E!NwR(l4-Q3%_4+thLAUP~Qjt{`(Yu zMD3frn7;=6j+waDWb8}eaMFc?LVX+I7aWC*?i3UJj9K^T0f|k(%_564yH?f%H<=1> zIOjjX{xEgiJ68+g{OO8)<@&Y){c^1Pt#_;iwEkQ7JMgLGJ{BCg&y{ryt*(2|0gbyOMXj197r@ad*l|tshiaTg_BCfHet=SkYm-h}$CBMTU2|M&6# zC)*thq^_%iUzITlS$F3!csIqHRZjM%)@<4QmdFE|4tNOKHAYrMKk|Nx{iT&jV#xDT z*DQ0;+y=X+QPJ}3>wW04)t0sm4{BjYOb2|EH^zZSWbPQdlhF^}M|Y9(hlVToTqSVR z&Kstu*|L(6Zi(6+!o97-r)-4v(7&UxOZ8!FAoBjIL7D-d)xl58WS_q~^bGqWcudD? z>@9ddF-qp&_;TPZYV6*$ws&}c*^&Om0m878j0&y^`>R+Fu{DQxm&hQ#W_;Rx+muS+ z4HcR;HD)27p)h8svwA@f-uF?%c`j|(9ckIl=L~8(0@}}>eXU_IuE50epkCESWlHpT7fP-G`4Ia8XIx?25=Us{XXMHKH_Pa zwv0_$`;nhg3Hask&dOyY^Bo1Q6y3IG%SJj|I*BSO!n%w-)z7EfCa4Ox7&kDHLbe}b~ zWi#Iv<)*%l? zJ}l7x>lXZgxQx>I`v<^>icD+}W4K@ryNJi3i(_;6f7RyQ!&|jc|F9tEM9UXf!u=+B zk)JM6@qGd@zl9zKqHfM;(U<+MO(N{|AFryv^?D8TP&52MujUOOtVg5zxx=35kC7TP zy?3Pw`{TI7FZ*f^@T7U+jOHI2>^Mi5#Ibvyz!T}-yRMRT0r*X?rj~A(4n9{U!v1*F z1LPUWZzGqg)S=&8UwiSwLwAAqgn9+5t{f&jpStqyiDA^6NXlfr`)mpQ5E~||(Ttke zGWVjLaqpB-@1pAA9d+#;_K$qbQ07e`A+PubcnhHYL}y@Yv1q6ZSI zcsa4&D&!><350u5_3or-?W#gNtg7p?E6!Auh_!hP_$NfL}Rgu2?g6Z4CO^w=_W_sh5Se}ThPtV+|eq_IDC zpPw8vS_0mhwKrjvg%iP#Zfv67K7sg>M73)_ddrh7^Dp?8w_p^{FSq-M>%wt%zQtB%~wG(4|rNtByu5$vpR@qp=~E0|M6|LY*6&<>tilQ%R^<`wX_a_svYi4|=9uo{mv zqfffRKCwhIeyY3xU!!!PETSeF@uh6=;YsUJ_(_uE!^*Hq@UC2U`d>Nz1WuPbpB8xi z6wafVT@2^66#TSq%C!;AM@sm6gTcS~Oyp}tm1@M!&R`w_Q`U0-Qen0|wi=J~o|gU% zzC-^1}|udh+cylE>#vbuOCZci;)FZL@n#-QbUH zY}}Q^f5MKkuJSdk3kKe0Na~(3F~xfuxu%ePLrWlwY)}6XN4Q_FGD(h)1^j60vOP4W ziBJb97P@Gn1bvW7xx-O@;m`~D6V!uR`=Iv{Qg?2aY_$c zcH|)+P0R$ZsOxQ#`$-h>4{g(p;bI=dmrkjfI$isL$23PTGB#fYPhfCx;4S0z zT7PV-VYkUwgtgnpJfL6p^%o@-;3w!MPrd(jfyc0{zBzu07x9XVYR*@sQbN7d#Vx`I zDu5r!uZ?XV-$gyXK_vH*^FG)g2hF2A>uJC-k}gL=PFw>XCC&8Fj9du!HC#{X`1l0g|;l=aNXoFPcsx)gtlOPl|ZU-P~gMJ)O0l_ku2>Z_r?*dUQ)bG+P$h z)VlEMU*L7?Zg1z*YCNC1fyCpZ0pLyb_U%367Y1CSxR?K_;S%6T-B*D>rr#r9p{DdH zbfY(Lh=I&9xor&OpX`?K{{6BOe!@w0^jX0|tOqSTidyuSP&cpW&vH}2^E3FX?`dxV zFKZD!Rl6r1`eTrLvv}b-=&!l3wYu{S_(i>XFXh{j;DuC$*KJ&D3VUcG<@K~h1@@9e zk=@X;6uhVWqx@jb1e`Z&i_W1{eemO|d#u8C*?{k%@>^&#TZ8cagS;=-c;P%*r7FDs zwiJB;64g&u&sc-Urmf1htac;R-yS}ceXIobTJ6Y)Od1#RK}zj9|K7CX{219>J@x!2 z-d~qP{jX^w&WqNOiZ`6HsMj)Cwn2JtaNU3Wh_q&(pHL6n2&wF)2d2jpFC4b3IM$C|!tr+8KXugRo*mR7bv-buMo+$U}t`=-C~ z{nEJr!hF*Z4=)~BfFeQyGkz#rNQ}jkzoy}}nWxUY1Ybo%I^1$%H1=kUe7@40C;Hty#^B9%C*B;073rrMMtNcTr zRgNrm|6>C5Ug|HYra}*SO#^Pv^o7NQ`xAO|8#~Hz4oT9Ff2J8A-qC*G9pqsJJgsJ} zcr}2)YbZ{l8^eu%GfDPHtVx1n;D-CYo;33OmNL z;nG;!LHr(RMb)vbuc1GpSH_le)#~Wkdkig z8f(IOQ@GFmJlhMqD`y<+HlYGOo1XqB`$r-nKV_nJ|L^`%wk&SwC1bM?yd$eATqE5B z??+k2DC^x1KdkmrzuCtG^>19%-&?cV5sz6_JY%>9!%k?Q-(Q?)1Dqo-eW?Fr7vdf2 zO&9y=cIbop^yEv?9zxx=`CLqGY7Sf0)4g<|#tY}2YG5APq=9^aYR91cCK>oq`Co4{ z7Ik2M$tjOQ(oIpPLt;v_tr0;yt#kkO^kf~@mldEMc)o@(?^ZU;?_>$~L-obj&0!wG z{qV+R=WTux_!8?rkvkH=fpP<-d3#n8>M2w8MONJdzrcESNG(_zxK+(fK=sxK)ahG? z@9Bw?#(7n+68IJP3-;3T^4F*5O9*`uLAHwV;)MS55YkG{1lV;|%WM2y3c$T;)}GPZ z=aE-8|8^wfast-V(X}}`E(Gz5Y(dAN_l7j=*SC-@|4fl@)3aD79F&0bBgHMhE2aeT z7A;`isaj-lR4qU=v;v@hy43`EbFh_Za~{XJuGTe(8mvdQeeq923k z>y&kzo)4S{Z$SPz{m|?dfd|kv{CQ;&@@}S!RP`N4u#a;2A2URF5TDpKkk=ob1U@!u zI^t`#0d=;rW@ThvAtkmf&D`^~TLyNA^RCJ8DLq2mD)yjmZwP*0*B~IP=8q>^rUze3 ze?jQiP(K;6tEdUMgSj+m7zd1X8}8*s%IQ36*U9%w$X@rMKa9v3IeJ^L1?dV)c*vz}jR7=p)PNmv-zeBf|5xgw`)X z{?c^otl8V!HQ2vt(H*mo5r1jQ)@Ahjg6B7�s5zMZkISRKKIK;0Lr!9+AAVk-u12 zF>kme7=BLNvWUfG02k;+4vIv1^{{0*`lml>nK^7(=D@`H=g+|Fk`DYSdA%0rpXOWk z&AF3+TThxFFD|fkH2%$9EESdYA?hKG;zx-a-0#$$eA z{=Cm@=*TT_XY$l?cs!}V2b?3EvcqSG6wz~136peP+ zZH>37A4HuoH_f6_F6BhS2wS#m5WH9^03OXi@wvEwJJ!u5x4i725O@k&ka|$%S?~@j z3j#8&33J@(mc^1`H&M?)9yGhPbT#(bz9)$q^8$E7M?%}ImN4(vhEv+>bqDOOK^Hl; z{4C+Vx7NsUkDK62DKpm#i{jCLB9*szXg?ZK1urQhMB109V2S_lac{c*67h{e2VLf%9icvH z;;-6eJNR+tbON=eAGkn8|B3r<3B+H_uGRF&0?d)Hyy|~qu?}G_NV(_K&2-c?DCirG zH~K+V-#RWRa0mG->(F;q$NvC7YV=G$UO>pdnNwY2D$Zg*&80L8Qr00})S231;zbg2PGh8>VLq(vHWX&V%K= zF7|sU?4Y@M)`s!Fgt?C+?QLOxgnp-veU8jF)Dh5q4)&C%V}JC*Y)AGJ`VuJ%C!Vgq z1RP|VYPjHIDDu!2zpq{57D7BpP5HIvC5h0l|M=*uuz$^LSvKqK*EO18rh_P&nL|Et73UvYF?>Bb($W?%xuJ{Wn$;zMxtR zp4wTnK3FqhjxB3ibZ_1H@ibdj$@<7omBQz$$>Hw=(-B`#BN_yDIzV5YdNtd3RKgx= zKY6k&Ka4O3Gh(O6#}3#((q5md&nr;(V5@2~oLU9@VN@4+a_@ZtAG0oJNO1(bzR@-h zp6iVx|M4T9@)@h2kDz`^^O#3Y=1F`H{lWJ4WA=nO$GSSFnP-uwGS6PAuXz~pjJcN8 z{^sxS?7HO6Gy?LS=&At6f+QF%Z61)^tp~AzA>5m z?UZm3en>TRe${Fo=&AmP$>4l{#N~RA&$3+TkPX`(6dW}t^kt6r%W~W##IFWqW&bJQ zYnqi$Bd0FxI?u`%al3@DzcjKEV{wZQTb6rEIdgUWFy7Zfvco15JfN7Ho^c>IVNQ9{ z`iX-x;4KWhoCJ6Y`4pD^inCr$z`y1{7%yU`z$=*yEWPvWF8al(+4a&3PlLC!Ue?_j z`4I82d{va*qSL?)(iyhA8#-YpWdsK7J4ayGq-ZrMM;_qZQasBzp9n!enOipoF5ig# zRbM5b^KKvPfKJlT^+(5m$JKSWvvQxo?%MqP{LXJP;l7IQV553-oKN$ptkdf*vCoe+ zT}8I;_GYY?cCbli`+e|C8f!X}ydMB}&?WAf+ctq`k(<5Ka>fnoZ{aw zz;3E{mOky(!}BP(XGSKvLf?c>O~#zw2VPxN>7e_1Mq7?*_mnwtYD8cUT@es+lKwrKXi1Ppgi~#>B_)+ zCL3TcNMo!HJ#pY#gM24mk}>?8hRB;wqT0a82F?cl)A59Q%w6RX5;~Y`qn>?CXLe!L zf9J+$T#I?;Q}RFAYV_86aietbP9Eu1XJ$CS%V-CZa@l!h3H&kkfGh^iHlS#E}j)XBvt&5ates4{kCntzpady-7Qk7b2fy z_kw28^MCN+|C22x8@p~a!Vl68XP(k~13PHZYG(1w19rvq@}N!iO2VA7&TB`XXG71( zzuvj~Rf7-JO?stOaJ`x>>x4I5Sl0;N#(o9=hc^!RexpBE@}FM@o)v$gnOL5JI#!kU zB8{=_zK~PP{H~q&Y2xa#P8@N( zQ`pQp+86A%!H#N|xKD^@G{;H3Ve!bfnFR7COC5n-GJE~RWvM&rhYV+4J`kA(o;8hg zkF1jbkE46#g;&lw;2Qm`)mfgN$Y&U{l8;Wuq2GXfvpOm<1^7xo_5D-d0_35c$r6zf z**Mqg$97!M6@Z=6^~hd9;|0G?Y0cwSR3+TEBJ8FzT1c4xq-J}5aV_58I;!x&Jx#*A z=Io;ARYnAU;JHWHTX({JczIV3%58$(6yEzJB%W|ytOY#%*Bc% zBdmv^!YP|O3&E@Df1z|}@20V3DOsm?LT2cnVXd9J;xmhW9F3=+uecUKzw|jWKQFEX zPfK6T|L9W$cqFGPw_6)tpzdC3x_48;E!6plGySLXm5_HP%PlkBaOFGXk8FhvW0JL%@cVyD zFN?px|C6-SJC}PR{;^I`dDME3Fvldbsba|_AwOEt5R~}^epp}hLaRnKp4Tk8`1NiL z;8exQ6{kW+k>6GCm=>%^#P750_VSf{CCt}W7@sXn0gp~ze|YPySol#}e#wgm7o7i( zAF)n2F+TVKag#RB`Jy!~curdC#otTzV;vdB$2Wd`3tm8aTgv;Nn^6y7_W6x(>tfW| zG5lw?%l`$>K}`_|R?PtaYy78@`?WRrdCjvq7d8wcFH6zy9dhIcZ=#>%pWdW{yc4;K z@4#_c=!II8`>u&W@Ni^$;U3|C&_ngz^x@1egnBBiHhRNHyuZRq(Zwsdz{jc{F4#Ku z5^=GJcS7bK9-MP#c82NeVZwda;>!ngJJEk^CYxU!@)iBG<|l6Q1osl=r`kD%8T}>P zPw|rHym2k~P#KBHyn82L2aMNI-1^#Jx9MBTAE@NQuClmyTHLjRUKp?C`5oRx=&yIx z3VSLDyle3KF4ttSHCrZa**<+(mC)bPz5CmEa4z)2Y1i#?F2qCPBI#YPzQK-=bE9AF zHA5XF>rr#tx@&}f{@a_L->ks%shTf8CE^d>OLf(v#|n;wd`*Ae9lq~)K9wpxr40TN zw(MxK^KXC=&WUpB!SPZT#H*&QTZ$*cOWCrm^ot`gtANL?r~!MY8VUHndi$~z8N`pY zxdW__y@a~$>(1dXzJr${zrQdgtBCj0p8M4|D+0f#cY4a|#3kTi?FyCg*YSipi$(U! zW7bq-zq!?xj`m@`fnCUov}y|BehTgQJ$Fsr0;FqT#~HJ2+q6{? zA1@1=Evt+~Jf-~oz0W^a;0{sEs_-M*P_HPNQNBUn7(AG{5Jt7krcE}?+gJhllEHr{(>yx5yOq@ zX$w{p&ihTHh1_+pfdibs zw)n1)N4`&W4cA(UON4s@JoO(9{6&0hCp9d5(i)$$lGbG&tOQQAmgsA`^d0)GcjRjZ zvjse+Q;^YyUK{N9@(&8!NBmFY`OW)RT=Rr|G8WlD{~<@1gL(Di{q66U{l||m?rf-y zazUJ?SZ#E&@;>~6U526}m6K41Xmz4+{VDV*G4_5sReKlw<;J-~h8i^`Y+3!-hv$<2 zrQ@&R|#FovIIj)4vpq|Ud-^%_(3(m2bl>g-Wr{G}}*S1%OoC97Z z-QQ)E^$>W&k};R`aUA<9^T<&8z)RRwXE%eI0}S{bNzRIN1&<&+Z+%2W*&+C4L*cOL z+@t6_vf+=q=%|i-l1*xm&$$)AC$?|YzPdCak8JQx?PmIN*bRfKwKbC~@jk3uex|B{ zz^`)Uxen&)uzNIC^@6|x=#3%Oc5PKUty|4t#1bUrn+epW2-vOpPF9P znt!)ZSH1Mm-kN`3@cYVH)O%a3@c+6(jkUTDgxIpmxX8bnTZDOV`VvnPg$Vb~(T{yn z_fW!mB=F?iB+PX+dD491rxN%TOH(%w_5Tak|F?hK(l1@}fcxb?r@Xc~g#3qvT*T`p zMes#3`SU-Xwm}~pS<@r?{xoBKxsF-7G~#@#1#lYheIoSpJTfWUef8OY{D_vz!cHzf z@ZoB@H_txT#plLjADqg~v5z**(oJ0z*mt_?bKjMI-E5g!-7>J&zK1PaU-`4xFx#3f z+pTpvc9$E!M|~covi&IVzph5v@3XGzV|#~4hv~rgVQMC?|&DlQWWt0 z&WVrbME{S_D6*)*?(@w1hDKm_K#!Wfts;)uXL)C&f^2rSNd*>@&jL7h|i1 zPB&tZ=cR<%f72n{dqtKQ9~un;zSrTpOxgJjJf`)vpw&hffQxh@xpbBeB7R`j-r{$> zhV!6)x9seW132H-Vf4@aO5n|nPCYwQ+)4QVC2v+|ek)^r^Ru`V z@w*xkat6=VAwDrExb!v24(G_&d;ViuJLaCK`TOzT{Y$7vk9?jPX@zs6yKZ*MxR7w) zbZFsf#{l?a<;XkJ-51IU-=FZf-5+@+-R1e4hf|=(T9M9qp{t-bB<}rEHXex6B`yrc zMD!8v1wARtd}T_Qmlg4g`epy73zdb*sAEu5NcW1Xf!=6-*AHG|jP;VOmMM%`i@qPr z*$4>|2kesd(VwsLdBLwM9i{e<93DYg+m(A3C z!rXDH_hN`42=q_HT1Kw&>IOif6w@xvRjAqLg zwhkGl)2P=n-1%W+u?=vC$w%Y(#5+N3SuthlkcK(o{*Pa8_wX8_j#>Vt%d6vN&|h=! zNO@Uh%=Z#5RO;OD9r3NvU#Hpacd$QgGlLr6L-L~ zk%E@){(O{h&zk)b=hnyYV^a0Sdf|lo7xnh)RB~ryeWhj|>4p@;?rWvRi6s`Jeo-y& z?52bgte>f=P5zQ8=%0SF(2Ko2u*=4Oq`%835c=o&xPKqJg}N4z;};(HzXXq@treHM zr~-b$bs)83svY?pqgA5CzWXs($!vXX(Tl%6cs_YmSO2Yqev@An?#{p9ccet`_v zoi-05^q=r|M0RqpakSO=E2H}|_X+pZ#gz$kbAf-bYr6NAbd1oy544)S5nN24T8JjZ&~e%QY-A?hh&|e zT>tnOev0Ne5+V8+>nQv5-U`2!g!=1CKW%+hKu?vk)9Q~C>WB>wPu^}{<$?9PZJ_pP zDS=lC%v=AJgn6{|;zyZxnD85_xfVq))qn?7qXSll9mexn@3D_3-NCs~9?sEEsY+(c z+Ubs!w?i>!Mpi3?G(?C~)l;SU;<~Y);_F+gdew&UyaxqWNcI8Gt8e%)`?nrAf)w}q zNl+5(IK8mXuYW(`zK;RE1mzVYY*}M&Xx>?hz^~`gFWOvoMS}~hsWC`P}fTOCjM@=h;VP( zF|W}CWkTJo_012ooycEF#I_w}#iRd2=e**HITP4PdEJ32%_77{tkpZnEML^SP&(|R z9(jvkeKtjon>(Sti+(pCOl}wOw?xz)ZJt!vInlK~CEJx?*T~L4H(gzW`Z2XMZzCBZ)8HfIn}dvdQV{QHR%(abzlk}hl-|JpYl7h6$S>E8 zDIZ6DBs1c`(ckvqjm1S6_YXT@E{Djm@Z9_-sQYK$|F=<^t*T}y@1A+wfhqvHz*SNT@qhV*KC1bmKIF=wPh1wKKLgs-}WT%q>6{OHC-D< zf1Fmju*k6iLZ1Il!Q~p@M7%)>Eh?6by_HOxp1bSya@GNSk0eLeMUFU(#tAVFA#NKG-tF&NUwl);I z1_3WBR{IOz9mDtQ+})=3^b5{~!JRcHS2JLj%&XO&8omY(r1BtH)07W>%eazk@MBpr z-f#WUyZZ%Tha?8aa;ws@j@FH9BS&ly*Rw7@t$jNNzR}Qn&F@dru=^$|n_uLgfn8CX zshT4b=4|U-<_uSszh#f7{#m1AyNY#jo$n>-U7-{JMSX zr6!?%i?1eI0JUeTq&yJ15p(W8%8O_AAh5DUaSwPYvLw#Vj?Z zQx(APs`)-vptvKRq)?Cci1nh+&m!jU)#@d%a}NFb@rM|&+v)|^m-1fq#ris2~k$>b2Ri}@2hy8W~?_=%xB||-N1nih52UZy@+otXIETuA>jW9W22E8eg025xR%{Fd|J9YKOxv%D;$m4eE)7{(V*QZV$)) z+bh0p?)5`IhpocoV4NrNfp)xy{>6lXS0>jfY&9Cd{^?Fw-K?s^`cQtyyb78`Jk9ie z(Z011b*u`xD()2peI^53 zHj}_VD3|f-eE5v>s4w=(+gAmm-g#EGhJyH7fHu@wO z>nz1=!wC7(;cF){zL(c_nTg=!!enQ_-f!eo9KdcMc*)>%#pHN@&s~{uC zmymal{%vM^kZ=!g)la28PS6WeZJ9LjS@7p3Lu(9UZzFH5F;-H0UJ!VP>>u2=JRW^v z7U#mcH$I!g`^%-QUNwk%FxzJvIGYb69@A7=yr`~;P*36Zbiq;@cs9$(9daXMAy_}_ z4ay1E@%$!Ic6@%Fz*j1z#<3rs!%nf3-))MmC*04mJm}&~C*m`?m}2kVM|gj=rb@?0 zHmFZ0XM_h+%J4o~{=X}AzT#XuOr?ulSHn40Tz_lR#u(ro>0<*V|H)XktUuM0HP#9{ z#aO<%>mZ??o$1Mlxx6KZEmO}=%QH87V7->#319Xaen>(E)f_kVP#z8_nI61s6s{}kE zOX#zc%6ix>4Q>A&R66XiwctnnMft$D0+J%b8(v_4wVm!B*9wB&)Ld66f1Yq(g>d$s zjb48V@tAqNTG&bOP-;xgj5hG!y#G4Xx*;@8Z0(Vrx%o>;{i!>C+pzI+W0#zko+mv;pTq zczny{#kR;F8r6Qkaa@qbmLApw1dzdXVmJ7e1_eOl7ZxPM7E`WH1QFCiUydvxeU9w4A_7vhVMu)M+ z_)EgQ4x9Qs-qr$_$R}~GRb2=kPfUmRt>J3;ech;h(+mwu?B~y^9hOnB&obUc2CJ?> zUo=f;U&qM-$LgfM*tIAR`Dc2gnTOIz#QU0olZFbHfU~rD{SvAwP>;&;T+qwS0UU3* ze7^kziD!kLVt1c4yGi=^BhO>ZI79EJs=sgc!fsqySH!Kc%tAAx{^TWy-tmBft$mjg1 z%ah>#e&hTd*kuFJc~WyJ_)bRL)}wRe61MF6t9?_ZG5nO_z$U@1rm%Y&XFrd;aIwaE zTr1*_`bEe)mhB*&=)yU&7`pXBd=Pd}$&0MKqzZMQ28TC)UZDZrhre?A*LO1fl+lp` zk1XEc{Uk4BZQ3O4$(C&%c?R$Q0iKG!mE&~qeZu{DW|N$Z{e*dGt@6=6i&5vO;!l&~ zuO-ZlDKhw(;_JhfW%isgp)`SaAgf+a@a{z&uJ!XCw=cQiIka5+g$fAw7@5!Sr%$$H zE|1YUkwWFKg!@>Itq{1y3qMYFRD1o-4)Kc0hTBrBsK8fJds!T#ySv%)VlK~vug3^^ z%fY0*3;IznMgR1?ohgEPGL2zno6un7CzzavHo5k~kE-@?4h2;quWvkFYqz@rxJvU@ zt?s#%h(D-Jk!8_83HR{+d&LlW1wTi<^r!pS0QO6Q^GK@S57iW1woKm++DIja|u$%^2KWyIx^KRhJN$5ktroVgC1x5!w$BlbM% zAZYiZUm47!&Op~#+f+~-xQ9YoJeef`{ZP1XF=qG{`b87|VI{r7nk`$UWJxMD!cSTJ zYZ$OQj(n%Up(de!Z&6pR`TleD+nod)CN#fP!Uyp&<+kZ2zx2{>S2RJ~fMW9aa3ieOLZzAj3P53E$*>H(HXHi!#cc61L zf(O6P^X0;_ZxgX>*^YltilJXATXrs&4Uu($ALr)dIo2FX;FaHqzR`M5s8jA3-1(R= z=fyzpt5ntt#Pe!d*ORHU6=n1c96JNeF}$6>Cqw1ish1@5HfP8S}+V zB!3tjB+R>2vgDt>P2fW%9|~VumnXuOS)Vtm|MW+^qLZwAMnxE(Gm125JoUhb^4cSx zE~de*>&o-ib$YV{g!LI{ld(v~^WFG%cXtlq z{+RlSoXSzyS-P|3XRk3r-ms^?ZE^|h4vEV+pkD-f%#tlpm#84rRS*CBm3t%>-xs}0 z!s{OJwU}h8^qpV8Eh;%@^oGO{56Jvm$}ighTtH7`#8ng%_+LTy^&~<*i_$N^OFs>K zr?zUveAp$}d0mBeuV432uc-DVi~H#g8e8TO+_J;uA9x(f56K>y4)Q7L95qQkM+x)b z+TvU?W}&}|-0mIQkAhd$P%c}Yu?jeZaa;1vpACp#$T}VS_P&As@U6BtdcTIiOP73q zMlJxZkRCdryyOk?yhbwRrmJlM?dN$9ETqk>G`pF$pHM6R=4n>iQ5Dmp>b@d#~Yjnb-Oi1sS9AY4Scp_Jh%zo zT|Kf>Q6~D%RVd5;}AGv*-ZGDdV;(aTd@5J7UorF95*V$Fct;`A z!nf-)p+BmLk*7KXKgrNtcIVYD*hBfR`}fRjCEVw$k6!VnovvRKg5r`yHj@x{U4e!iJv11P!C~hC|Ot6 zj`yIO?bJ+N5)C~&<@IcojJeHH8HE=a890ZG-OgVqr5tQo=F!}ibVt-vs~)%A$gIKh zFSAr$y(K3HdgvPUMsEl3l)`*Omv%g!M^oUw{Cao8RDzMXSH<(TIr_h;&U;|j!!2HsBB!$Z(-Dz|G;_Uk8{Bek2`95;jm zUup1cuj(};{C#rWoscVde{24qv6VMaU!}3vw0mnh{+?pGciw*%e$)6(LYym;5Jzu5 z9lo26c$4{W%iz;w#B)^5%+5tuQO{*yl;>_4h;u0)eYf(JKKNbhrk|uvBma>(wcH;TnPW zqR!eUbX>)`qK}>b?UIP~ApcZW_xL)D=V!e?drg7R56>68a%C3sQ|dR|T(;jpKL#_V zee`(_{3I*=H;?-*=)3yvZnJ`3)SdF3KTzN%M3{H$LVrDW5p@E_VF7aCH{q9+^}?5L zyMW(Urcu9a7{~X~^3Hc`T!Z)3{yN?+t(?o288PQRc9Fp|n=G)AHVJ{0Ke$SJaHZUjIE5>uq@S z{@xP<&DbB_AB{!tkS}0;v5dJ9itnc?pS^HK1$f`!P-n(tU-UDnIJ|M{P6bbCy6&UH zkp-yB(3al7bf*&TtKXfw>v|>XS8Z39Ys4tQ9;)8A3KBaFzik=cSbg#fcv@ATWAv-3Tz`Jj)CYWvA$6b0vKzpG3T6Vdj)#cX zbOd|F#u9M8O~b#mCrP5NU3Vepp71+_`%)bCC_8Zhw`*K}qvJ#)+z06p;OG=N`yW4I z$VKlm34q_A<#AmJTZ6e6jEW25i>ly{sGMV&>K2F}9DK;C8H=jfGJnU2t8W&t4~=PboV*s}c!znqj#@GA1g zf2rNBz_*gWmN~uAh94xo$ao}P2mYD<-TZ3E6!4ZcQ{}|&bI=nP|F_zyxjk%I{m#_Y z_yyow?ap1;GNA}PcZwXHHD8B%4|R84LHShhwR&5oHlMX2+;4JQ+fJwz>!F#o#ZBo3 zA-@#!;jCv1{2+NNDbAcQzlinpg5~dCYrJoCZi?t5;7zTFy)U<&K%U+3uc#?W1b#rX zbjO}|&EP?`_A3PLqhtNV=8o8{N+r|@dy6d}*^Bs1<4|CpI|Fu4wL*?QE`mA(v%+`b z4h6`o+KCMu76}C}X>GRAHF*#0i1ojT;(MOJqq?^iwk?=L{=mk!#$m%K>ZM42eE}6q zTiCMNo#}_REx_;E3lD#s--3A3I@pC|tq0uVu=kbn&x7CzWWGF=DEI}xEAv>eiRTQ? zBQ^f1&(*!)%kAE0crVhze(Ai`Ie$|hID@p?O3a=gyp1h0nY=s`IKn1zvgYv?_#NZL zhn{$MV7){uHi`tjLwu%|x-stHZ>+y+SK_ND%7nh&d#tkCj|lhoEN$1JIuP4(R`XHpoTgEhjkmg^E!~faCTQtNj<8>mZjA17uc2&@>#btPj>$S zudS8cxGFaa`~~F+_X_T}I4`v9?|}_9cwdQ?4c^`zz~^%O9WI^MV9%_ro(-fA0N3f7 za%i4X0MBM7d`(EcANI;NW}CU-X~NteirrQvVfalIF6~wk57-w&2P3)4FnquE1E08+ zKKR_IFt@os0r??4fx_`$0>fC}t;ds#_+igD12zcDOQX-2o+Irp#X+cFa}*24Nd6A4R3mk86tCPn8hvhoTzISjAxe8!Jn(>1&(8fBV@#)gE5%4IWCG z>(=2O1;la6RjZ^VnAk_j?|K&27jdo)?|qi2ehPf3oN>sQt_*ynb@K1p?KY^VpbwmI zEm?tjc|F<7SN5`iKOAJ=Ju&acx-E(gV{r9iU2K>9Tw{;|-az}lcgC(s#AQa5s|I&3 zgKsv7uGzak7sg`qss27p2KS5@N!f!Fn zC4>`12z^i`o|%CYg!#vjPWygI!Y?X$zLet%31Z7UWs}0BI>J3s?|v?9yv62)tcC*a z8R{V*uXiBpMoiED?_W~`Ntw;$#Ue{tUTTy`lonJe-m}Z+HazvC2{+@xvsonWto|{E_0Zh?dV9wglmn$k$uQ`)v+3~ z`u6=s)6$4v4Gg4`Z+*br5yg@%=`Eqh9>Vzy*ryKY6~UA)X@9rKe7DLH`YE#qQm(gI^Howhe!$ z3i~0lxl+BI4&10t-C=$v3VCTo*GE@V?;yUWm-mZlh=6xC;=dJgPQntu-=tzWcm#7% zoc_+;U)O?qFO}!Ie}fb~*s{idX=KWVUQfSG}gZ2RxeUZsjdUJdXUwkGL!dntfi6 zerJ{KQ;NMyfgkkj4s$WX!0Q98O3CtJU&1}Z+JARt52d5-S6Ba`;13&|GuFtRV$;A_wyf1f z**&fX9AU(-*teT7hg1C{^HO~e^3n^IryhPiLFh|cBDMLe4*uUk*LfL^{1us2?G>a2zfW)4 zzk2C3{EB+;bN{|7@Tg1H@6;O8Bg|WT#?V{X1e~VDyWF|t$^QS={azjv@j6F%jt768 zZf^|1{{>Dim}kJQSm_^0^pr=xti|8)*r)r@|4j*9ab~?>9@Z__{=&NxG<=`e`_Bh1 z!H#SEd)cIW0z8h6U0~miQSe~;CN_J297Er~qZTD|LoQ*i<9AZgyd`AncZG;24}cd% z_PBr0GJu{@R(-v7SPb<<+TF)F6jER(Sd47{)-FO^tT|MF$C7Z*&GwQeZ!+R)rLXH_ zLgrA9q{bbyuI)IXf0j-u`MME$OZ_3V`*J*Z1i8^oc@pV0Y}xW<3q^7pp|8w3Q?t1b zyn?pfrk~qJs-bsR_WrtUh&(q%(Ec-L3V|kaIpTI%&jYFB_CH7oL_mKA`fp$xo! zshkWut?9M@#hr`b0qDOLoR%WozsIn=_u_0hv^_bu#@Pg#a#aFp9P=_vg?RMjl zv=Fvze4IJE;yCznjXUOU?LqM4mIAh^JDSnoS_P* zJbDqb`~^>87nni@b4KRy1BL}7Cof6BkE=ZV$2mWR`&sB)Zv4~MB-B~-?)?%R13YTG zb0k-y4e_4Q`^rTpT|L+`^`O((N)MbLMZWjTZg0Z#F{Qj7y$MAAKw2kvzG@WbhkDBU z_m*{p{*8=JdQ1C|ztOs5Yx`#o`=#9$E4$@2>>Azi1XpG({@-Y~%&c5&4fZEMM>39p zYm8c>&FeYgcdf>&HJR$zKZ8#jzZ&$S4uiH!=lgUc{DPLj{UHG+{Icp$%#8>BXt-r3T&ai-sHCmU~IY+@h)5cc3l`zivj~|g$T)VCB9e#JgGbVWX6OTC*;QRn-k6K`QqZVAuYo#H{hB6K#xUXjk&Bl7 ziyM8}veLJ7d$ni4NA^43Y;Ic!zhGvq<6RU==%bYSX(?)hebZJ@*iy=c`~bBjQ7WYp z_)qGLo5`zt;D=e6!F>boFrSrge{bw8FJZn-D)|cMUi8nZOI^HPNQPaa3W-Yw5avC3 zcI7QPnT|Nx>cq@LO$p@Tw9T)KM3S-olAP9`$%OgLlIx{C)w6+TMN~e8SIH=`Wrn2L z=22JRIo8U$8PaFy6^$l&hwEuH)@MFF-u@@vSM>NE`-_+H_vBla7s~%HeE6T;d|U72 zQUabtqkZ3c^*Qh``r_rvn}%TbOnnY4Uiln;TB66O=v=Z7-v6oqwcG=CTf6vNUL6@Y zM%u~wNcNg$w!ET(o6_SNjX(4=J;6PEUUW-emoFeaR#k^QF`W!!GZ-3BRjs?Ye$z3t_%O_=}ju zkAZ(xD_5==k_7J~dm^zRSFoBb+h55TtBnG`&)_ifO=7`LNjzHYedZr{HkH*g?QNf- z@3bnt{0@7sH;GwG$PUj-avqDrCeC)~4Vy)8)O zp*!JT=4quXE*lBFa2eKU;;E6L+>lADqgn9pBYqf7F@}AM%NZemEC* z4`dV(>OvIv#x7ev!j_kONi?3n1bejbUc?(CQPcnU5z8ID#pgEzZyPRYGHsp(o;O>y zMd6w`;!1U&e9q3BB5avXKGQ$=40@>f=0i(BDe7>^m*lOwvSIfOD5kVSIjE;mGuBre zdV=}~mj%@^F=F7Y#PVW#U#ehVwKuNcAM_1zv|xGneSwZ)w(L+{@>G}5$3>wY5A#yM z90BofyWY~bpgw~3+Wl$zMdULylcqa%uERcyJbd2BG6a6n6AJx(%Nq4scAtK(n-b& zJ%o9%-L+3YW#IdzGcA&@rK2uYCOy>ij5zu|toXlvIR6LnhWm>oHJ_MgH@4R;HPyIZ)l}mAl%iqj~VOF0LQ- zhdT7wvdX_(+mv2`_cS|`@_?j`ejUTQW}}CEz*Ur#t^SNO;8ETR&R-%Sggp7Gt%{t2 zzzHNn-gk$d0tYPZXwCQ1!g`6URomqn4IWQ(L)7U5f*yFjrB&^scVTyQ4V~Yap90UQ z=Ng{+nndU$&iioi@+{VyHF-H=@nM`#AC$;J{_G3qkg@6n4s}8~{ zdfU&y&luMp=mf z_%oYhvA&N<#y_6`w=(BPeJzG@Ud=;S>U~xQ4%GcOR=8jg>*dZT*=3v2g6C_{6b%1` z@0Y9fG-9UUylEV0&(_U^{k4;okDbR)b zC}FYI#AVkJkC1pX1`4ktp5TcyJg@r;{R7g}C%!Y>*jMSmo=VAhLY|q+>QKycp@b!F}q$cnJsgO=zNjTh8>d0;qhv?M8KD4R`}fdQ;L23Z0@k>7~)zfg{m*#TygG2 zw3za1+6nmvzKQj7E!ZE~#-f|f+YpcNty4T8XN_|tevniyZA7^DN@0kb^DykZOuyK{ z2nv3mlEfwX>3B6;)+rMzo;rtkLaOja@KiaWpT%%`>=S`El6XGwtk#g7x3l`U?hoRVUyVT;syLP-`|Nxca*{7D7YkDGtnXBiI4q?Q>eu`Ryb#1Lt70y z%J3HIiBv-T$>ZyiG~fp8|4!8JVH^mGEhsGmN?m?3|EH?Ro2Ko@`mp zIJCR57k)`~Pm0~oF4RpZxnAKOd<_0sqGt7$C5`aIQoQDc?K_*xW$jMbIqBi` zJ5PKDk3?2FnQ?-J^=FOzGE!5AKFV}=PTQpt=D}uO`C+^Ye7x~LnP9ICh?jW754~#a zgdO2JQPi!g0l%d>LOp!EP=qb3Im*R%cpOY>V2fGN5-&zTpM!QZnL(stJDwPl3<3Jcn@6Ge#IX!q{gey9Qd*9#1GXy`!wwc#>>`QvM0 zrb>RJ2p=JTMY6)}KPQUqJ zz8HCa{imXPj5)gTK9?`XJyaHfUWWev%DVD!sMq(c>=I+&1~X%fVeH15eJ>$WvXotm zNUQ2}LM1tf(xEun3Q@GkR+7>}i)`5{sfZ|9T2=ghUDx@}{kg95hd&;(y`Oh^mixJ% z=ZzPgr~!{umz~~cVUIi;{nidut5t}{_=T0t>hHmBt9hqAZPh}4h9+G7TH_{RUya^K zJevZ1T=K$>CmAh}Sq*tLlLOFOrpcpZY6x%`IoI&RA8!C>5DVq668U9~^_rb?5z|6{ zE_uh+^V#E=Uw!?4hS5^Oy#ZcRw}O2LIN?6|?Kj*pe%0|5x1Z_2DHw}d1k|U|zd+wT znx{escA0s|MX2vH;&j36DE*o8bdJoFt` zMI?RT^Rk)Fmhy`XD?Fc)Uqkgvb=XCXtvylW2Y>^Lm6heM z?2g0wnR&jNiYN5_cmJ9EZVTdJy1|jI8p3^sM#~?4?##k`(Nzn17ervZZ9h>z zp;nNnzNG|yhH~Qqu7g~t*I;EHmQUPIm=Bkk+3%Xb!OT5#{}LwL2d@(qH^SmWeu?s~ z=;5NH&TYRrsl@kqh_st^*&9;V5m^)rr1S$`pRB zsSNnl3blvk-Lj!CsE3@dxf1+H+Wok?*)I55R3*t4+X>`Hxxf04HrKE-^aY~YV9{c*o?Kj=vnjlF`; zTpBUnp=9l6ZumTdXY#GnEkYfYsNCHniO>t=t5q-46cNWsJh}SR-kHE>d-{B4^AG4b z6J77aZG=3c#`W8oQ-jb`T0#zku`zg^wzz42{5$*+Zc?^#X)mF#`@Xol0dKLcCKb_H zq)hnNeD73$i0;8Y(pzwU`0^jntJKJ;1@~{}a%9p|XC0lTICl)U)ol6R6&SBs|3_mM zp|AMyvvD83BHXW%LuSro67sZpCyOS?cz)IO8MOu)1fFI`Zo}Mm@O3o5T!^fzge)53*)q8~ zAJ1n|z<;z7pBLXC_k064a2UhW{2K#>!QYZ}FlnWm6L{m~+{^_ zJ#s7%01sRBXC9a53hWo%1oNq!m`Yh?37k+` zs5`!H6z7-S;km5CEDGPJBV4sK271wIeL}PN3ql>Vwn>Cv7NJhI7@A zcVcU?KI#|aPF#)#&L$CC^!>C_KjHUg+Eab){$oefEHuPke1YBF)fRQ{6>{E^XZ(9xXF|XpAORk>MBHVlPGb`WW0?w7nU*39; za*$`{Bc;Za2g85S9V^WzUxl8h?#|h`dxUVG%0b%P=pgh8Wnfj9;z{rbY#J!MZwi3N zl47?VO>qL>UDY_UprH=q*PK0Z!JCPC7bZh&)B1l&e_e#Z1 z$uHu;>$)Gz$|b}QFHvNA8ZQokw=5m%wlK6C__B;x?6P=c0uFcZ{pTqbJ}QxIp5-4;<*bL*S3ABYZUgYw7Jt}s zesc*Szqf8l`0}N&%c|``2Wwpj^QYpswTBPuA^X`fr12*5A+$EVFT z#3NSo_V4JTCE$MyB1-`Co2KI44=cFFN?ztRLDLcg-tV-eSy5MR@-^*^qVz~_x# ze?MiwL_8?>+@!HH0)8NGf=yHm4R%RNd?s4f0`Y~4uk|vMrO4aMnk7WB`=Eb}hfLob z&4Ip^>Tf?6LxR4gswY&}RjU4%_nW&u%vT?Ia)yX~8qX5gCr#5squtsVmtt3@U|nNA z=IQ<_XVF0}j=aP+Jdp1@p}u>vSTFoA@Io{0S~7n<^t#?+#rDHfz|Wb>vc^yPAnsLj ztsC~;1OMHq>9c}8D-iF0$b9v640%dwvL=q*p+6=uv>$X!Ezi=uV< zNwYACN=>IqXMWpGdJgov?e1&-;!P7ZKt!pQvx^RpDQXo$`>s$Vc#J z%P+3++JpGQu+(c)jT?CGG=Z+$jAGzi%y!%DdGvg&--Ju&;$FnplvmO3`?7(<*?J_U zNbdwLW3V%J2Tu*=U#;-6n2;g%hn9!%V<&OweZ8k#KT`&vm&8ebB#9|Q?=5i}Oy$u8 zABP#TWx}S6gy&y#=`xj!dLoNDzm;Lm;I*2>daUp6LjFQ(R)C~U0WU)uIi2B=iq~k4bWD;5tLK#{5P4e)<@K{iV_#J*O^- z_=UY(Zv5>W{8+}b7m>cM(5v+H<6o19!B3;^EZa7!kNaR~F}@iUCRktgR|A!be5}86 z;q6?mWxzKynhe87*TPTIiNB$lC4qQG|FMVW`+DdH_Hi5S2RFfUV(PnC=ClAG&|q7i z+x4Rn&*yZ>*!~^tq^_4_TF?x}r|O#`7d;5Os9tYY-dhSBj`qlM{!1+MvzGe}-OoIP zd%W@n!VGg9{u_@l)3qrU$TRT?9y=Gl4S6_mt<6^hT`+ITQ8qQf1Bl}l2b*r%wPRmu zW}Z6oISY8Mibb{>`!n>cOwaDEd>wdhy=1C0d6H018Z>nA)KbDaCDCn|w%AuZGDT*K zQh*m~6t_0fU%|fXnXH?wID@>gdI*p2OL^ECO_o=-pd<41hWnJxCdXl3l|o5^{%c|X zl|Ib8*KvoxrGD$XPotDB=CAzPyQJsHSIC-Yt#+wFzKQHnyRDpx_(gm=taVI~aNkNx zq+yu=a6eiVgT12*{Ce@`Ij(ds=pE9u{cGnu#5YRoeNG+Sjd+aK#O}?`Jz`yqJoy4wYB zU)vwYktJAsd1APa#cF=EH?~$6cz{~lmL>}m=pChzjwNTBVCSg;qg>xR-aK(;>g0S5f`fs;8#i(ku}f1MtrDH znt1Cx8TIax)jM;R$sAGB>Vx}0&aPcn-q?$c0gK|aY~yb+r8-% z>udrJqH!^8Vqg?;v1C(Bvh{WX-}y^W#K=b2Z>I;M++)9R&Q->rK8dL$^l^8gy9#+i z4_X##T~K@jT!FHF*8v#==KRtsTln_|+Ir+qboiHY`lhr;YVhCmcccm`79fwR@~(}o z?~Hgzlb_Cg))VWt_}!L0HGGJ}DY}y5+H}|fro;7@QuXkc6|VnS(s2fSG+XOgmQNOV z0Qwq?(2)S-)zq$5mDh}6{@6Xee&a>(7j*}HHkq;r_p|U!O_l^ zy?;#+c)fQeRe1LypJ2QN3&w~%RzDkFDf9=)2KUBX1Eos{scYFIB(Zry$r7##bs=ACiHnX>TJFobehnA`&aya|5WTR zo3cKSSt=nO;hJJ~D*@+VNBKmivw>?-WL46C3={JHRLQ%4M?nu#S=Mwd>%Yj6YbeVMMB*we_+u>>KovOMph*w7mC2^FdJ)q&#Z(V zH9A_5(tMq8f2IBI@T?yAl}Z7vQZmJa`D@PdoIQ^CjVj8{UOY{x#~-cJ*;onvV9q*H z{B1kpRms-j7k~aD@G^R`D{tk(E;@d!XnuYid3)n-b&}m7#1HHydhXVK#7~BWHu|6F z=tsfMKI$lN7W;)=ay-fFx7q$zmMJY#>(YUKRuiRPoe6^9&MctrF{lL3+@|$Mfvqjp zOMm*oB3nyBJ-XqBk#R!5KgML&AL@b7uXYL~N8WDCm+q5&Q7W2acQP;mn+K49BcAP^e5t10tb8bJCzWlmzxKL!{nqb)*SgDn?%rqbXFtPxc)efm z_p^M_n%Pooqyz*6gaw4f1OOLg`M-bV{&(4Ot-wG3P)N56Ew}!E?%2kE)EcDnY*`yW?%A^c{TDy=|M?r` zTWgcb@Z;aV`oDi-_=*2d`=7u6-2d zxBmRU^(*mT@B9CH|3Cl#pY}iF^Y8EY_uqe>8}+Y#{QGzR?#I9T8ThaEzvmyN7P0kSy)%fmQohx}-(QLE<&XBy z%u}+Mhwq!#x!3n17vueX@MSKS_&tC8!;6dwlL+Fv^1N`aiOV8k76z7j)TruC^rdy4(awc1O|i04mgdW-H}Hw*WlUAS#!@(8|%TOs6kIS$_=cEeVD zYzom2)3yi@ZThTNWvWFI=ug;XH3d%{v~M{in$&WLHd~@$ zy?G(Vmr_s~pymDw{S|zZT^@KA?Ti6VtSK>m{INMluf93pg7LCjJLl0~Nun*Un%w)e zYA(Ld(SBx^did zC%en6rt}bPIn(7k{FbaH`rEg3|D)n{#D2D9xX-Q5**J*)o=8zQewFywn zZ?kqocxW2Y=6w$s=-YG#{cm_aSQdc(NxiUNxA)r^)>qv+X#v|inE&JVx^^zQg!$Il zvgrQS_4q#PYx>O}U`a?^(B8w9a7BN!T;Hy**2n#K%uJMZ`!HT(36?Q&*k3XwIp<{t zKjVHehk@-=))8%?;RlMIvu|R2d?M?VGthtKU%%#6ImKfBS{uLa)SbZisGmO&QfQ0c z=UY_7yjCa1f2ilt>RqlIaD73az~f}dJL;)J&Gocq;{K+bqz!vDvEC_Ly24VHsS#~O z>B71&!FpWxAb!X`m;`#i(eD|}B9;3wll7G`jWCWY> z`)5{pWnx&D;*r(5u`-s#@5d%@tW>^yowzPCHf7%5OhV7``x$k-E-v=1fYXcuf!0={ zEja)Dir=^JePdED&X=gvVP4$XJ;CP}679jpr~2n=u#P1@Jd+(iT+PJ7N4r zmzvOK{KY(WPrUXq#`wr=ZL4p26iGaPB4hH&)p}f~9d5EypCHx^zu)8|=X#kh(eCN9 ze~`{byL-FIQMT4?;`d^)Ovg{b#5&@S#6MOr;T*ttdArS_V5i(ck-j`{kV)h<0bq?wQ4sGcg`!{lbdUCounKR`l{6lkq;EOvSgB z#PcmhdXsMobFSfe=U&O5bHhFq`0}hrx;Y5nBVxj-Ym>%$p+vm-6)}YGe>T@Wn`KS3 zDevXf8e9mu%kSPh?VXrd5BjI_=I@bbPp}@8C+FNh1i3B3nW_3PltQ%W9>y0obU|(i zR6OR?TqM>rf52YETxeK`XxE*pT2bPlL9~YtKQ?)%y%G2O9aB$twn2YR=kD8a9Q#yK zJ;(LP>3jIT>%F$hTM0SI?_T#MHGHBS1bg3#R% z!8NLZXtU_M-aRDt7yl1mdoW$&5pi9-@srPy%q3XwQPDKTg~1r_!qLQb4x#7yL#&T8 z4?Tun5!tf-jaN${(Ux0$wI_8Mv7RkuYdG68hG2J6N{bR1cQM}5>;1O2TEt*~oO!g- zY8cNGk)&_(DI)YHe{|Q0r0;$&(EnSSbKIzeT<3S~5MDQf{}l7-zKiE|0rU0K_Uz8D zybiqYWXCkt0lZK2>VkmlMY=>=BHS=2ZY}oT_^}&%8&}q1{99rk9XNvd>Aohh(!j(H z&%2Rj^Qso(KW^=I{(;nEtbeZTp1e%LZsPYwu1WJ93dQ=7Qa&iGgZUL)ukK;eIUnO= zx7y^q_jY{0SbyH(zr^?R2O<<+&sa{u^LswcpBY8iW&DXpcXIt#L7q_Ay@7sTwEm+< zR4<(tUbSWg(WYf@YM3>N>zwQ7#O*1tj|JAqSG?BpAlf{GwkTaqeWI;#{qpo>+x0N7 z`@%hMX>{TK%qzn4Po<(?cewTEz1@knOkrbq<(8>LTgs%f*y!_5qOF`H<|SZ`b*8~` zm<%k3+?SM+Ik;0C{Zl(?syBSE4A%dZ4(Eq1*2JC0m);Cnz4)_;p zwhUu7*9C2plm@eeXBdywwA5Gm`Ivvb=-2Ub(fFP@J%W2y(22J0+`PFq0dFy0g9iB* zN*?3>HM#OvhBJw_!f4&}uV>}a|IY@xE90(tJ5#bG>^ zH~NYNPaVd1Dy$Wn*@w2~?7sDX#|XJ?NvkbV=Y|%%5oK zX1&{`A28pp_iW3A;Gc?pitGM#=pfNn@ecembQIqsqH`nSwkP}(p;!e&-e$Rf+WaAz zDc>mziiqn{$FHjvM_~OjrnX!z^TYfy<)574euKTt{v%#;EB!FhmSnsbx~z=(P}p63 z$j=sfPb8d2)4fC*&%pJmBB$+hB1UyeYU{Q=W^dwJ0q=?#% z^-M{pPwi53IE!geKrtja^RhXdvb1QT|UX8@_y}Ng_+JN6M)@2PdMX(=5w0TYfC#L_` zA30{g(zYh_rKRE$x6tepn~8PU|2ijW)dRdoOZS5*n?vXoevi6^(}hRC5tPSUnhq3U zTsWdBvtPZ#x>2xKzPkK6;VtULUs2t&xaBA zpQUDmrc}~myicW{{@|v`Euu{eGMH^GPs{_qZ#Pv#u*@0PmEQ(e{(#(6dL;X~S{JyK zfTI0Lfd$KmHns8{|3ndCPg+uBIrQy^Ay<{wkHj*?F;9%QIVwO3CZ|b@fWWW z*T)aO$*x+&BHCjUFP*&)c%a=DVJqw9isvmky&^b+kN(^|^?cn?!XM?2I$i2;aDtqp zHZM3}`r8oetU+r&^~p=({z=Yu^*^>GIigqd^mHC@24=JG?vGbHFrH6m?5=-jNwigK z_16!)y+E{C36?F>^a*>I-`sU&kHHE}tVgvVqoQ~cZu{Q%RbV;voYbS|E0kUK5^eDn zx8sjQ=wp59x@+`ik^G_4?y3U|(~0Y9(Si4$KZe|v)lk|ewuaEl{JssVPU%|g!2A|1 zTfhAkVW;qiW2#s)AIIQ*;i{jAM*LNC+u^b?s< zvvL2X=iaM|UlG>@nnr!3<>6nBxXP*i@O?+>&-waCb@0EG9IMt}vW4Bv+DKiyy%h3+ z^;gAnhadDXP2j>c>B|^zHL=tj%XGrdw$$M4AGi4mJ5#v2_O)X&A)olYO-6g-9@!J^ zN!1tcQc{TZ%pai3RXM#?LOVaT_{S{Zz~X{>*FMBK64&dq)TV^VSrXUT&y;&~?&AI2 zupj5cYJp=b?=#bReeV>WA46O9*8SOk^oY#rT}8Arc&_L=?I6b;*yoJ)(dT{ckaN__ z3W4>7kn^nmO&&d-z-a^|@-NK25B;fNcOjRNOyK4G?vpMJHD&PICOU2e&%F)%Tl%cg zqBrtai0eJ=G56f_podhRs062kFUP#o>_^|tMLdVW;s&dk!mn1aH;7GZhTP+56$igx zgmtTwc~LU4zkq0~@7@scO!pzaZ#S#kP;45$|Cdov?Lw?Wxm~d`1F^toB|0uTB+y{5 zDc0^Ba_s;vz-A`KbA2wNe?Lsi>q2l{nllnPtcG}s%*+gqsu;;1aWr0XMi##pl<7Pl z8bqvH{?L)5t`n8Oouq`fUHw>3>>R)8ZXVXLvB`!h zgU~~RjrOi)rKI?bc17OoudugN99_1}yIMos|L0)ok;Urb#C2L~b6)H#6{1bw$-MGH zf!HUON;c07twMe9{iaFNtmf>&{VOCk_A`3XKQHgqg41}!b@8ae4RxmQ2gIT#Iy~&W z@OvFybKVJjzw)qz*VsIa7iDSrf?58h7~faisb6*y_BemgVxIcPK4M>4Dg+MNtbSlY zTpuU zAD+zTNMO7bR$MGMbazABSL$ZnZhy?LetdG}ZDPIfTP0^-D`Nvklv>py5PaDJ_p3M+ zaLcRkKIYGPTG!#P(mw3it~VRFm%R1e?v$U3h(`!4yE2#Mf%P}>*ll{OINm3;Ox-i_HS7|0;>0cMJj@3x^m+G3jpsyL z+Ig*ZN7VuO95!~*9`oHB zz?O9Dhh4(58oE9z1iM&azQ)k2Kfn={e*ThW?}Xf@JoPl1Zi4YuQ=R_xs26ZK+DFc^ z-aPCdQ6rf{u_V1Ikd$d7Dk4nur$_Lyimu3J{J!zwsnt~2QEIbl7ys!Y^f0J;HK{*(x>_emVWyHFJxN6g>BmI9<6P zaXik9V`op)!jEDs3tjy*5jc+M=ZlU>sd2a-=bm!^SR%eF@6C6Wt0X)-C*@Sp5yWMw z86|0(_5lYFw7DLf$%EdK(3Wm5?f~w@PJbeIWD)ESsgIj>-`Rt>In{b-Be#thCw}Wt z)RXkX_+CommRq~Z2)V`|UiFhI6NG&z<6P|Vpd7drdy`>EKpgx&=79@q@33~@e(NRi zfh)m75b&g`*!dm7cqo1OYh(?-m-aVj=BZ9RPiEO#^L!zao_bn$Sa-&GqJM*)+y_Zb zB;LWa!q!GlwAs6tx~L6c{Fy#7S7v-bd_gAXyYvYe>`QL!()iSwuy2(kx4M=XBA&rr zxY#b>Gbuh5H1Ao4Jobe^OV-v-UBsO!KbrE^`9V)`Bu@m61>^gLBYv%WI6}m$ENSX0 z-C{G-(4J@)avTgmdt9ki#R9kmuj;!jvlnr2se-2xNt5@{zbP}%#Cpyl+VWMOQ}^UfMgJ=s{)@s@;!tZ5Ijn;W>0M5oK*^;v25()RzyyYvm z8Fr^s*>9_aMnX?pDsDJ38rTn=T5QjeSIOAVbi?8kT<`+;V~GYY?kVAW~`?`r%RoIPG?#I>zr9J=ABg${i?!D}fbx2XFS+Lt0_Mx&% zpX;~DTzqH$6yfk_=qI5>&F`;jC-9z?Ne)M=FpreXMV_bMV4lTqPZaxAL5~Q>Z&O~p zpc8E-b7nyb>;p;3&7Zy2z|UeVUcWDH9Q-nwp{?$XXTgtP6)!n*r`ibPV%o4WcPH#G zRsOcR$orT_idm1Dj|1>#(T$%)j9OsNaylx*3_`IEq*tsIs003N$!&i7VdfPFqOIV; zR@#sYImw}qPfZMfU)Vcb`8PHOI0k*YNNCL%mVQdI;G;?I+It}M z4&=JnMd!9>IFf=mY7e;pW@$d8$wPAOskRkv!7&- zDqDHZwOv5`{%c;LZ@dnHQ&}?S2T2UMPh$NXX4c4uK(34ITC+`Xq6YmtxBWv`vJ=sk z*RG1&ok7GG_sfxW53AX6Z1}biS%T+)*A6ZxqW7D%deRd zZK1ug!oOt@ryo3XcKhf;#D(da)6bOp68@m2u=DEHYb5(!DCuNK+$!+Xc%r$HTHg^* zqG_edZe3DvAtv0?ZV_poI<&V8cCJvt?Au!x5_Y1cTy{aj z+&tKgJ)bN)b2zYrRQ5-t{3-<>P4H6qM`;p|Lh0z5kA+v^zq3A<&t0Jm|5ownxev`d z_Yuz@3uW)o1;h<`}-`0flk z;evh*iTH{rgHJSmF@AdH5%7EZPYwo6F#!J9wl>UP#vM44P}eg3Q@2( zm|Y$#24ms(O6<9IQaAy6hvR#X^&|m&sG)Cy3zigMp9skmC^oGm><#`%%!eb5i-CWN zxsFo>w}K}u<MnG_pA=WD%<8T6$M>!{SQc;?_Nv^Jq|2+n5&j5&^jyz5$0L|; z$?v|MtOf9AIpd#OSMPa`_WC8UoKu7z;*T5~v)X)wh`;cA#TF$+Y`a0+Pcv!>sBl4i zZA?is)bA1Oak}2hlo{5r7ll;n_4XgzhyI-Od=at^_C00wXwocF{7L%0?Ugg$M4LZo zucyPTf}CJ17W@9_nFH4E`?*=i&mlfAa^A|B`GAB|`zrsS++9mtANFM2dzl0KU$Ho7 zX6hdj4pVV(LgYDVJ%&27jnCc1^%i>V^Ly~Wq*S+A9z90zsQ=HdjN<=VK(fc3cUet2 zPT+3*?&BWs_wt~psLUu!CpoNVrB^xrXY28MF7y4$qkn))s~=@sxAB29vaMgqw-|tT zPFr5K?syF5i}~4XTK7Bf!36q;mM@dR{$$TN?_Bjn1@m39U|MM<{6S&S^;J$Jyn+65 ztXfH!b1d)LX_#r!GQcv&@FLL8qFcq2{n5O6Jtl?UGGJ%B$XC~4&%E)M@rzGmYS z|6m28KOOXYY6<1QGq`F&>T3_eA6I-cEg*uF$DnjGB6!_e=m8BWn$o;?Bwq2UV8@=v z;PEI1Mo{ET5uc%H-x2ipft}5|@l_#2D}d-vO<}mPbO!8BPHL>|@;wj!qeuFi>a=^# zVVx*g($*Fi5$lXU)SWX@V*`CABo%8%R|cK$^#pHoR4pXC2XQ2Ruiz%;u;pTW z&+1U>_%+~O%nOP#6iM9Q<>{wCREl<4*Y_Wizrp+Mxo|+kwe~XFp*ESqhk&0mUSu4$ zmO4x7??aCMFe#rP^kBK72JCr(X9Yh_@JYPQi0T}TBFG^rleeQUrej|!{JmL6J7z)L zKc?i9yG)yiyYh#eB)Nj_7@zLanAvHIv5slJ{KB2ySoaL=y9#aZVV|;}3Tv!8K-eq% zfgf21_PpClwENtu&Ofpu{968~YEv6s4sw!Kt8S8*hq$_sob%L0h!61x{N#roT!lX> zbU}S?^=`=N(JYZv!-a_V$OkI!t<4A{uD1?sPBq&Adsh71%QuoY2tE+MJ9f*$ucL(j z%%4c}dGug4c(ubFHwybgF@M9qB-cjl2cE28!%gM4As*3nGT&_30q_e)q>5AT3?r^8 zbinw{ha=!+4qj|pmZi$T{lQV18!tmn2)B=MLyup?{42!HEmW?-^ZK?Z+EcJ!x*ex& zPYov41HX>?tGi6Y=Utb z8#e4A_*wj3qtn3)&p<8-w7-4SxCQn;HH&e-Vm{(w?P~4~hi?-3LHy<-jrA5y#Cqb7 ze-^X+EQbCMK6%JUz6fr*A@z36w4An%Izv{-3QgvlxV&6-ek` z;8g>=RIth5<2xGkif~|+Ha8yevPpdpt0FDn*rTnNkDt;d@n~oGRAfj%uL(roWbIo8 zJ6d>7x@wS&|fn!MT`?K)tO586MVo}~LjW`kOn#jS*Qj-3C ztt&J@@{1$|XW6_C#yX+OUR*!$iD>gj!d|$RhC|PAoO>K^u@SeU-wZgA)C|9rWxCva zUIOd^YGUSN!>y!zfNi&bCb@!7MVHrK=jiTEv^A_n+Fa?t)fo17%4~V?lcgT~4alk_ z^*Rmo|T^sboL{@ zAZ33nuE-1Hsc`zst>;~kdtynqk4m?|Pp72_crJYmTt)M>Y2nJ#h-)f6`QqyoOu|`K zN{u+L0FI=1#Vo^hyFc1D?4{Q@0FM=&soE5hMapa9nf>;Z!akGoIV0~y1Fk5%Plfql zG4z&bqMNz93vdpeiIl=sZ^$`{lXT<_Ip}%$q|-lU%z=HZtQURG=I|@@Po{O+>1^;0 znOmD$8eU+1srbt{Oyxq4jV%jT30VU<#POUTAasVr3%Q;Y?)eb-y@*9<%QNp#qOJNp zMMmQ(#*d+JixIPnWPdW=Za6N7@l;v8*Z1-X*kP*cH0@V#ffGx97=BYLkNll}wd!kO zPNclOuX1*#FLLmG^{1ytJca*7*{9MXABgMHmQz@X9>Db|_cz|E`vN^XG$2-*_t}!T z&V4S%T(BCr30LxMwb=;lrlDifH7CDyV7^{<6r~Ddz0;D~4sRAE@s}ny`7u6V{c!76 zZQQ*p4dZp{5$m}o_A||-C#xE5vhu6lt~V!Zgnch)6bJpkNq z3?<}2_Ii5#v5c$2^Y7@_RyY7xQXCjkIWB>`)33{4zPWG`p_JJKCL^*^7q!2AlA&#T`! z@gF_H*se9QCKvY6U`NzhE0+?YJwc&V%j+SIra7Z@rd=lXnb^mg>QOu3y^MwJ!w+{5 zcp`sHXUmKAEZFm^y60Cs%ZHrOJf=M59RvH2XZZ4oTp{7_STg^(PAxqLImx)UAT6Vs z#53LaJY?_<;*uf{L;RkG18*NKx_@|P82BH9!?(AGKO^P66^zfSGpZrlN?*em(ud*4 zF&VwZNd@3}%Foy&eeP@yo?ohEd({f}OY(2!KQ#fK%ADOWqsED_$M`MlxBW0Ma3HSF z^qDa`BpA4inw|C6_d$qDs|POLLA?ULIxE;m*rCCIcwTpo>Tqs1kw45IP_8{?a1e1` zwdi}{mjr?12^_fPyHpeFPS%CDBwLt-$66Fy?a3$c(+1d-owDxu{e_oTx!ZxiQs-Hl zx9UUhbDk*LIh-Z=`SmwiW`?H{Z55B>iboY8x0pRH4;Qk)Ct<3jhJ>Q9FYp@NtR8jcTVy#zXE-gmh;K=ux0}!#_c2CnwJ+`hj>Vi~{8n)i{1@(?d24#_AP-kX zt8a#G4vFW|V<={wNX(}t?_yKw)tQLn%G{M<^pBAA%=3b&kM|c7ZSe)>4G~`m9FO1M zVLT#zpak!e=XWN5!g^p>wpmyohCNO{)0*ht1pj<^L4N!L2a>UaA`5t@!G>}JJmuJRy+%14z$(dWQ%keJc6#MwED~73vzfz7ivD|;4Kk|P0?Q6}U zXH{b@uWXlx-6yi~weFfE=ux?q(--a8jQFd-m_xt8Ab2Ot`rEoWJ-|Eq?r;(%oypwY*qJ=ekdWwKV*m2Tj|eWxT?t&6 zu55bg6&H2~+dYJ_E+6qfwdZjOoaykdC|~{#`Rjmx)t7&4Oic^C50zOVYm;<|ID(~E za7fnotFYtbq*YD#)*=p|)xB`q_$;h1nrTj|S~1ou>yGj6=h^TVMNEB!T^gas*#}S0 zigHAK0)_jF6m`nq{kJZP(X+1XxyT!%sJ&4OAk|F}?Awra?-T56fsE>iJ980dVg}8V zPq>GDNG(jip-v_3+Y3JrKJSFy5Q_Zr@a00_I^y}kE@E-mXR?~BW(^F$&yyJKJ)k^+ zIvxyX$zSLFo$y_YTSM&*6Z~v`->SA&RssAvk?n;J62h?GWglf)jXcXG+R|5>7n?3Z zKFd(op~cki(0ii$FBR#&$3CW9x8KIO2E0+Eq`P2CC*+J={)eq)-*#Xb* z|2)05Z4MDX;7_>weHl84c^9(E6I|*+iXSjpD`oDH@hiPx{R6ykZ^ zluoJACd3;QUbgJpeiQr=S--lT+A`o)gK2!z1t+j?#b2$=pS75<-}plT*&QcH{)K4V zk1YEF>{D9t+t#9u@K02BYbF;qBJWMycBkjkBP2fHC9jhE%_Q98hsT>w#~>$!ta+mI z0uj%Uu=I-i?S}8Av>7}VTLXJpfcfp}7z_53pqq%-JCd9ivc7QSXd8GM^r1%^LOKb( z#vj!jp4l`X*A;~4H^exi&EB->+`aT07~cn@yr^Jh7hrW^I)Wgd7w~-Fsr) z2G}8@eXCw`yGw}Y4IJ#cYQTkEDH*$xW4xKfv$yAseTjvCP&=om`Gqs=I^GYtE#cR} z1NqzRFM1;ba+f;rLwAEQiFc#?<<`wa@S!C4SK3{(hkqsh(CbO)GvFgsitXBwB0u!^ zVYx)qA*?^CO-ow7EP$OY;O@m}6@@%yhkm-3za7sL9`aH>Qil6!4OOOB-l*XElIm-j z-$QYI^*g=rN!W?vtw+=S46q(Wx9YX4d`JGi1nsTd#BT7c#hz!iJ^$K4wB`1QEkE5u z#K-tONxf5ij{+Z|_U{iDQq%Zv9%Aj~WoeJmPlZAKwUw5r(;zk0ci1ffJTUI`E{z^D zQXL1Om8vGu*q4JUTkRLdL;uqMUZdG4f&U_ZmpgTh7UI0DCA+uH@g(Fje|!sX_k(^X z;=0UL{op%@tMNw_bUwMy#6D5neKS+S5dH~WWs-mD6Y^i=O2hJdR{#%|NZFP#Z4~*P z!r?~3kxr-&C2{8{?T+ay;(gum+*MXA*e{~bRDJ435HAov(p+_E)=7-BVOJI{4fy5o z#aJ~1BLc7HkLS%1Ha$e-GxH~fVyG&fSf`@gdRhq=c})^Dvu^2^s0;B&#wPJQm^ue=l37HAl}4=ULJVv zdicXt5})Z|fo!<;q_GLS*o1j z;W2fL2X!ucRiGX4_MuOKuB;~{o`|lSc)=#vacbZE*gGy26Kw%)Nv97Qusb+v8cnk* zi2cGJU2Qg07DUPeok*eS%E9hr+8>W~DM!4n*|_q}smd;lZ`7W9e{2x1QL?n|Jum{C zP)@^Vta~-=R_a3yuW8w&_*eL%vo;suKZ~os(-$o#a5+oCFvqV0J@5~xR@0Zp+yp<6 z@cU}DKitoRF z`P2MT*iE8BdIy{ONqLitFLF1%^e5W9io0uX?xzrKb^FDi)}>;8q`pjPFYG~lY{V@* zD)t)kScfjOI3BId#r$sEY9Jhf^+NkIEyzq2`%QAovrTS4NO=ZLx1Bwlu|LJGaWm~! zf(ODr96q?md;;rXq-ogWJ@~KmraDR=)(;#CTDxfngiI#Y?*yr;GR z`#>@Ad}f~<>}P@TITprk@O!APM+=4=+;M+=sJxV^C;H)a=|;>CQoKQE%4qg}T$fmV zJbd3$;AT?08xD*}!ych5f4*tJ3~?+~)>JbMUjnzX1% zJeikQUGa4<@Ls9)!F4=a;1G&6`^_xYKrbm%_Z)OBgw?!0&fb@mJy1yFByhECf6XE{`x!iji!HHjnz}w4cgfhhw1sqn^l@0 zlQHcX_T``RdIhg{!rmHC2=hI;0sbH7Q+HMpPBI6Lt#IsUmu}AM$#o*p^*N zp}_qVq;#MC{T)ZN)%^a*g?xd(tolSq@NX&N8NAOUu1zEGM=9qIe!E(V{A%V2f1Qpp z@EVvNH`lsP68-$i>ef=bfkq$=88`F#V=LOo0Dy!Lid zUhum7_|#DFvsiPl+wT$q&O>itNR|h~UsG7g4Zd9mIV~8rOf>q>4Wg~GYFc&cB2rz! zt164%=@9iC{!cHcCOvn6KdfDF@P$(X*0*p5*US4M#+O#v((t~a2J2yy$(orxi1RZH zU;Asf17~7t^|5X35nrZG=k3yO0nRuckp07S5h>pF6G`jFOavYxFNOS z&qXG_Z@j^0qziRdI1Uw_N#}uY^t`wx*BS_UB(Q}qsT~b}Pw`>-{mVlb50+M!$+#O2 z&$}_hI*ASW#r>2n?V1F6(p}GqnHP|X{_pmy5EgI!j~*H8+jc?XHt=`aoIUlNM))zb zywi~2LGmYbN3QtRKu+>54bU=jN&ZJg!_LYm z$XRxc=82-l0HQ5>u4K;uA99kuq?*w?8@Si_)cL$KIp7D;)+%_)?t&hn3=d8D8cq1g z{NeQFTkLZo_t=Mx{tR1n5pBr@8pA@K2a$4JtovAmMat<;Gbyus=o3 zmM`BtiuVaVdnqdBM8e+{&*i4-lj5`+%%9bY0H>hsp>AB8%p=;|tLlpUZ_tw>>!tiQ z{UCnNAKbWjipMbKLuDWLjP+WqcY%^e%ai|-_+fd!M7N_}F@G@GWxVY*cqbC^^)LAE z5f^1jwgry;3dQ?n9~?ct6S#&<`0|}$mofje75#o4@-;+T{=REXPa)(ORd%WK${cr$ zSHawn)>o*5F)kfJYrIe5F-IQr_i}W__Zi)CmwQa|_r(HF)gA#KP@>a0MEfK1i6(ZR z+j{RI^3rIPzM}OLmZlOzs*)l5#veY9J@V#GvpZMBUS0wH`slw@vojX zUy#?z+VrIL^My3k zZjuP8PBQrbz0&?Ng7Rw}@|hGJLT(FMU_Vor*6s{>OXx*@%POIzv%SEhl}g<3_0` z{HgxruRPcV)Jxpu)7AjzR6VbBQRxKcOVEG4?2enT>!cG8<*-Kx-jOB6r1Qkp)pGcL znW2nPDd51eUbK0!>Clt%0`#pjBoPm%NhO;P2LR{ge#@LOve@!JxR%PxBPV`{!mm{h zU9e)VCGu}M3`L30^{~f73-*5XwQq-r zEk=Ap=h5Km3K8%_#y0(NxReOFEjR7qaj6T?Gn839ilOVk8y%DKic4rN#=3QTqn&%- z6aCk$>kiXLoJvfmT9e}f|4yto?DFtheXN_9Sks~H=s&aLbDEPea59z7yeZVRM{xfg zlavQ(@YCrpcklm8suRf>$zP{xoQCH$eYHN60~}9eYjcYKI_yiq{ruBy6@>l7?{%5t z7)F5~tm0!6>8yZ!hJF{z^3z$6TcYQK)|-4q99}W3`1Uy}^p4`*>l@Oy5K~ zg6j&?BGR2c6Llc?Bl7e|F%%N7LDp_fu^RL=bN$(?ZxTqnW5!1dBM0mQ_L^qDY0c0} zGU6uen$ZbLx>z%6L zUU|(9a#usE<00h}`Y)LEvwX!V@O>zqVp|WFfiK8q&$~1&y$avoAuIiHAM_OC>8TdE zTJYCo&Z_Oabq4;DoO7d_;9|sIl<0Su(}y8fr9Zv3IG>31&6ZfYe?66yx62UPJpB{u zgNddm%lFr!Eip7D{^u1Uj%`W*WSC>q1-Z!8va?yc2y&k?UvW^F1-+`ecY{YGsg4fQ zq^EVF2DqDi=Q~}+6x>faJ54e~0PzF4*5Ex#PN+k|3#__(#sK_5QOB40O%}l6)a0M9 z-h7;t51udZ(8d{Yac-S;(02jIX}U4}n5(4&(WZq9lrCrk{vZ_OSTpkw>blVC&V1dP z06apWcc4;G7yc-7c2LTiL6V&%F1oep9r%;9o0`sp@$ml@g5Hf%@gnULtnC$ zC&wUjo;mPQMq|N)S(-RMKrH#a_=VC;@r@$3#Jb@R^fo3$ zYobnt%=@PH!A|()qBGwgV(P)qXH{4R?y!aZ+RZSMFjYid#ffuIZok*TI8z;CifVGP z?!@F1KRmyTeav|iDs$zF6Z&uW-m}~tez1&wAcZpk{zvcU-dm$Fr2PNaorc9~7DQXP z_IJ?Xnc$5M{tUA_yaRRb2M+jZPWuXbpUyL0c`N`tTKfB*+Cn~fvoeF3-|7}1?}{^r zy-|4taYvOU%JC+#;O~r2|2k931o*Jj<=c5l2M}*iN@z&&Q3tP7)IPY{aS`M)^{KJ1 z+eyT2>wU~rL!5y#4!`-_viLS|4MB6e*s-19Q}uFYIX$>ds&D)?t5NAG=3iLl&Rn-H z{GPh@^K0iN&?}-JO}@4Fk@C^cri(ULk@j)r#y487z#SA#uD@Lz0{c=u?zHdS%eY@g z=u?HWIq-8~ZNKBTZ%{W>#Nm?6wpip}^yuoDX_pb>!Jp(^IeUFM;+`xy5C10(kaHq$ z+ZDT2u#Xvq2k2iaP!E~2Ol({&2e_%0E6?T4LF`AN&`}?iK1cRawjm#Pg(^hW+;%5q1uL_}TMi8?8vZ?CJDZdv6lT%Cce_VzB$t}GRe_$>2 zjM6pZr*3IDAE__ZpY6Dx#KW!^I69gE+>!N;74UX7@&Kqhf*H;>@NeZc4((<{wEsts zFnc^+Rf__bl61>{?H@$KX|8xZh`opRi2eRDxA{K&T%`k5eBFMG+k|M*jSHGsM`A6j zcDW`4|D_AY7ZgrZVVqYQJ}B51K(xC>cNUJjV;_!J+tft9#<~)uhst`H+`xBHverCw zz`V0x)Y`wRgZ-oUE;BJjlT`O@=N$jFQl#?-l8blN{{$bKQ-9HMS|oVA%_kJUNUA_i z3R!LN{`>^_qDr4y)0>#EAK2s1pUOSKzLDy-`h1sJOteK_j7A8|M}EEJ8P$qxXUHjm z@8h?UBOynq(}rtydO}VKKexT59SM6%Iq$8(^mMEX(U0P+(- z6_QwXX^tS|C^v93{hS2iwnDWcY6Z2(>zr7l{Yjf_7cCHhX@e(5if710IQ@ zvanggb$q|lUi-@n_QU^_IH0=lz7TLI>BctNsmwU^H-729yJ3ji%WRBJP8CMo5YAMo zDUS`ii1!b?r(`uMlk%t4BBm|nC858Gn#YrG!4BhII`@9TMf6u;eUjsN9r$IVo(%gl z`Hv=4>eeejpv> zF`USNKd3mI_xyM049xfZMLS+NVEoz2j|yz|LT|{(9C;m~k37NV_Pi;VmLvYbD12(? z7y(>c?CZs`TXZ~6`muz~ndz`Ic?`R}smY}CQT${VPd$xu@CG@${V_)oj~U@<3MEMC z{YQ^*yEZ-V_5+SHVW}o~*_(8(%(aiVo(zJQE9GJ~v7S^{L20};{fs+_53)r&I71lw zl%Ab&Q+P9hgYf&Vb`EaS1`ecJvtqy8bjVfJ`12x8vHHaQJvCK&x~7;{Dci^ZYkBAi z<{x>v=e?wQl?^?`T9dALpKq{GE-9~!d9|-|Z3*l#IZbN~_dMXWvMwWY{SJX|CR{e? z8}&c6^3T4SmGFJq6X;b@F@fNdlUNtDFYB(K|BQITxO%U8TrczpzzIBkbbrD8G&_%}1Aj{`{)e1_ z8c8p;>3)}W#rwt0MORUufzP2h(=<~f5B7}Q--gfSOC8W(|1fv8P{;u#<$2!=97s5& zti#O}x$tjz%L-aeSeRe+NZ+xwDTqG}+l?<0EG71lrQr0}sZwSg=uc3Sl2aDxyvP~l zvMDEkhtrx@o@vk|a4vq;%3UXQ`$+l6=k1nu9!f+1-T(fI8$-N6dilmf(IgyDW^H=h zHEpaXN`KY@v#F4?DkaAxx0Z>ms88JYVA54281}Nb zU2pxUDfmyLRc6P9jzW)$nm6)(T>_6^v})nG_c6fp1+|2XkG5mIN;;XVrj?;Ci$zsSE4ZB0kb*J1XGSh`52G4KMMbE9wu7uG}wdG=-GUp>C=&*O2hv_(SDVb)vqw ze`1#Lr;I@G&Ib;wYI$cD3hJgk7P2@n6Y?OQ^!kEzDrs4=AT`0Q?O+Z8~}JAd4J+VU6kNcq9t zMw60DNp;oUw=Zn|f_V{95S%k|19|=ucOI@kZ$a{ZUL0AwQk?J)`0W5?K$^b-o1Xr- z2)~uOMC5S7Dc}&aO6HHVtI?lfSpiATEaX9s&-W>K)D1Z)_Oz<-PbT;>3~IE?5p`l8 z^E~$t(qDyfZB*1x`RwwJzNF6?`5swK=QI16_%> z{5idF9R;jw#qi`Pm-WC+D1CPM7e0~l`ixz#$ovFvVk~yWm;C#{0R=ZEZ8@|X{+-a3 zhPFFn@LvVpFS$J*LtK>`T`ZY-9sUhX`7`b5H0%SJKjXR93$SlRUQRFSFGSpY@86cdXwLCRJr2O41BL(g`Y)h z9^x+wS_(_c^$;&%ofIh<$b&y8)OIVb`7iQgM4}Q|5?-Xbn32)r>CeCe5YANI_;We< zQmlZQ6H$A>+Z5{bmDuy0ge%UywO+|lh3N0V<{NttdE-3HK9RDp-&f#I4SQ2&x}5?Z zE>SNRH!^{973klxpNKCGK!4g!Yt`)|aBcp?DY^5%y}+aAuAd#ElY+Rt%r>6(-=OofOXze!b zQ43+mP?^*3Pn(Ur1-YM(E`L+UxpD%$eZLhW;NSJJmFmUk!HyPDn8xDG1^ywoHuf&q#IV3zWu>kn-JyTj%-3x{!GDgDVdn{h!(Y z&wkw{s^E5+Sg-v4@3d?e2kbYIk&`tNFOU64kFXEjKBoTy&!Oj!dGD3%AlmZPV&>YX zC`4QRlvyG}(v@g4{6b+}Imi&y-Y?>Z%1Fxi`;}ghS0- zziv<%`h27~(lo6J_6+Tl`-{#i(5s>sk8-XWqHYQEqS{V3<_xS8+eI%k6M(M@>HSWM zbp;MVw-#OUeGqbkck;s}yA0UBlB@laS1-o8QqaxFOSpu54CWYX{;n7&qQAY0NzQxN%Uq#^%9@j;^X%`RE*nXKUJ<=uq4>&> zbWX7GtT(HYu@6MuSZ@8#NqL$M=I`|`l6b3i*KTK=fLs)6-N=PeSR){oc(BmXbY}U zaNVDad=RC)D_YY%aZb~CUhNT&P4Le|9j0t@76s12UT({N{e@HydhxTNfDgbqg{{@) z^$KAB)2F9g)95GFxs+ASN|b=TDR!P}f6xu@6MmwbeSZ(>Jo=iCR%iA?jwn0{J^nq6 zhxtno8R#!ToSQNKYDCZ_#A_sKjf@1AA>T_;FwP`5jT9GuW+(f#2;U<;&Mo^DgZQYD zQ}8?r{7L?J^Xhji^T2};*ql637eUGsunU~B`2dM`JX3WbYN`X)C-bcTN?q`Fq@71z zPSD_A(7y#KZ_Of|XMV=;{L~iI?T~xDyuoY%>{Mo0hBxa8^c?Mh{k^3rz-?t-$GdhU zVZVuwe=+qk1->G@D6u=Z4C{f@G|#H83j3K^{W$aZebj-J`&$#dXtyQN7U9(095*KA ze|?;9T4)V^6Jz@FW>yAx6!I!_mUG>~BNq(55H?F2aQqO%0dM_QL#0 z@B6O!f>bY+=J@Py!5>onwDPk*&-1`vVw^L4Tzbu`d-n2uz`qhHS73eljqg*i^B&kI z3ArS(A~o}!Kb|LeASvML4~&<*T%m6C5v)&D{tDV^I@YmcS z=J=^mk`Vu(wvWu-_yqVh#l?5!5>rw>dAauW`)XJ(luMVUiQWbeRY~4g?+z($tG1}& z?xr=QdP$kDB|D2S-l~&X0}pLrM=AGt_pM2Uy)UMt&e^pD{3+hczq;!tNc+R_^^=$@ zuzy)P-JWM8T+qIi^mvsScnMO4=ZBJ>K#tMAw-w7?fPF8%JZ)Tb2`OJ=ae}kO4)mYC zCnqk!iNwzv@MW#&K%KvSduf*GeNsM%pL?NZICwTn@A6C%uflGUs;SZQQNeno$+VXW zeJ93;KVBp#*|T2`<8fR2?WY~^2NfHOog44@6K%%X2O47TB%c39qiml~_&#RX#|JSN zz=Kt}V$setf*zNtxFr8Uyae;*b6P6wA^atcg@)a`-ot+ue;o3Cng`BpP+oLF+?72+ zv;|Vte@|AzE@GX(-QOIA@1bp{wRtTf)h}z&te>(JdQbj<{*crF);~AWutIPta7pEJ z8;&;~1<#&xO=imK=Y*ZY?+W>H%HuNPH?*YEHf?1R|4>5q=o5R?ed+C+e;hZ{)!HzqdsNt&WdV-qliby-rn|rw-Wlhv7==7JO{*ag%@`EcwB@1O5;eJ zKT!&tf^nw)fr2vDjoOxYvBvH2<7xDJ$MyYy7mxTGjH@)FZgt1=ZPL}JQ8!!R3d{BI za>OsXDwbKuq`+U1G+4bPhB|E)EgV>pq^c|75Hu4*Whov=aKkaqRe9-WPyh= zC2X}me*z95uJx1qXDcbLf6?-Tw;=Yp`~|;{*9%GZwNpeM(~T5It|^YzpMv;?%)3j9 z?sVuefzbG-6}z!-DL?Y_6>DJMb452%Hk~Bm>io$YgUvk=;O7X=^j-hi4(o-v$@$~& zAF#J1g2t(p4v^#G9!tVn9+1xSSiA5|ZWM59Q>XB+a;+*b76-lSlr%gn~MB} zrg8BFZ#d|`#NeXFmi;&nbG&S1vPK(mR?*KEH(ox`$937}*VURB50P(L+=*z^%W7Jj z?+}rKbA>BY+ap`wBfq>q)+jH>2z)pZ+TDU{O9(m0AJVsYa#$Dj1>}D29&&q&`IK?= z-L|0+d8lG7TmPQiMv6P1mr6MEwhH6@C%$_ciI*&~@2??cIdEX6&A{ASwljz}EkvL@ z;sD~klkzr2buVzPaF_7ay#dQ%2MGrq*s?$X<0+>dDL>N__PkPt)N6qah^NYCZnbJN zgICQ)tr@{^scA7AK;0PYELh!MY)jqKIrP;eDKHUKSa@_U&msf3& zr;}41Zc!V7JIhtSb1n&oU8!=sRJUUVaP@&-FMYZ=z!^un=BIBy4?gO!-N@Z-F4*z_BF?2&G@`T=ndwn6O3al?5nQjl{?HQ!Ap}?FF97a0dh_H^Fn>8 zi-?P)NzgV@eO|}M-p7uR&fB{d9dP?T z@OVx|&#kaJ=mFN8IjTxKV1G!&pS25=A>mLrJmU1EJ+W@MK8_1wfUk=fN6mj83BHe{ z%Sg55RTAIoYmB=gAM2j}Y#y&DUPUbyETfiyuf+6Um|sID;jVJ)ontyN9&$}q$!h{ri8dvD`s8nU*ac!r zQ+5|6!hVxb&%d%%o#Y=y8J6Gc0&kopX%#)92DvAF%U0>?Y|Pg{?@ReT8!;Zth~>ra z=OAA~tatI*Wk<0e)b+o%&X7aelav6~hs1EKcG(P4yyk(G$NqlU39L6BHzHM_ zH+$Fm@}?fb_=w(&m73WM|DSFw{&Nu*cBNoOiIkBL>_EXIz441{vA(55!-aDD;lDB8 zg~ZeY=*(-{Gaey+*|3=2^=TXIDv>H$ z>a$?r%8ItW)ee)SIw&QlXi~zYbHTP+iqE+Q{DgMxw&PbL^pB=exo7=T5>I<({OGL= z$X$-k#GPFs;I;Q|ob^df8G4DMzIo~4-^h!gF}-e=+y%ZOCo|Qd>wmD`KlAf-%ig0G z5T6vb*fM)%ApB2>l$NVsN3q@%+UA7#m%?t7$SU72UkAO+Fqcy@SV}riaaFVR!8@>< z6(*ata&V4@C9R56U2p?D2aaj!krqYduW@H_7CMTC|HmIu`fzPv^+Cuv!Jp2}YtO(B z7BehfB6u9@p1!IeIChm2o?B4W;LSl@5@vf0%iJ4zJCvF zN&IC7>hq6n8qTfrKpasx^D#o}D8Qj?13HwyU!_M#9 zCgel(^a^j?K zTCv-IQR7<@F3BwU$Z&$+%Pr?TX?X%Ysx>_zdIzblrecMF!%<_5=adcR1!mQ#>Z&QC@UQ5(Kc+=)Pea?_P~W_4$Q^F_t6%;R z&}+Os`@^T1koH-=q-bR`>{-P(6w@(JtZVx5?3WK4AV;||E*i{@*!R3u^G--Az~1DB zC^@7Sz&_;O>|D409L8Jjt6oJ(750(r+}Dy8UclQG_tUS<*hQMZ>3u&QxWXP(w6)Rr zq)Mu1teJZ$v_=>n~dDz7jSnpin zXU5m|B7Ua)-e7UwHtcuCmo@UcS7ZG!wni?{e~0*6%epz|Z#{+{X7#RdzFUZR8Lh;l zI=B*gOYraN1K!JkORMGm)}w@z_?F+B3Xbi~CE6lClT$73psmRErzjcXccpO(vl zfBSc+YWRsg;yd!EUT7|S3V)K@+0ip=4{&$J->HiWwc+p5FWk)dJlhiML1crws5SUy zim8EyWy~6b+U*92K#eUTDI*i22W)01ym-g%Ym-lOxbK&zFLhkbGXFLe@c8A;- znDc3!>UL6Hhf7j9w)3Djgn5<6a}I(JKTv)o^2a9?tUF1Kv8mHwUukG+`lMWhoTSQy zGb>!MFT@H3m_l*TBN|UzWR=vfyAa$!{0S zb2e*%z0WePJ6vB6ds~*(eJebWR0sUsu+F9x&=ZQcnr_W`gY_vXqkUl6O7O+xV$Of8 z7bKlObMw%R!>eE)3SH=Vclt*z=F|OI){o?&VAE zS&R7+&dyFa7J#^{z;K<#yYtY)icU+)8HunfWHO`N+s9!Ka;--Xtr31jw8iKC>Hj1K z{+Q%it3b8w$WNlon09|=D@iVXI`mp4gxJ59^zz0zv^YGssX4p-vUrUzM^nJ@)Q4g0>!|Xph6Lyz6C2NYIHujr{ z_w$d2>q&XU7R$YOIha4zev44G6w-N^?4;TG_Tk4IG@Hd#bUEDq==sD_^c>@WX zFA{C#A`k80&jFZEmAR*qg3uNRkY1ag$f#>if&3C=1di@_Xa@A-$^~@*a?wKBwkzUqxel;q&zHx zU*1}cB^alQC+jCIkZ(#i@lQFLOga~+=cC*8C8&F#lq=2qsElIVFeXgo%us!o6k7%>2E{#n8fd24&-{<v(RxC9k;e5`wea@|ioEJIS zCOMf+I#+7%yzdF5b8Hlr)&CVZgzsg1vv)B*fbU~0EzfHB-{<`E`xYbH5*_48DlVPw zxuhR*foE&P6k}E|Hi<%1hnxN$i~z z^qk7-fv;Okz#pQQMpf=<#(LqbKj%_LC-f}8TYTf%qs74Gl++UjR;41Yt`u3=vCahc zJkQ&>IBG9=1=5k%m#5w%ohxh`G*EewRR1Zm+aM$o_PN>v)k>x=@+VmS!|92|;Qz6Y zx&6!#1@5ZsoUg@@M&6ui-vNt<9OyCG<~_rK+wpyjN1RRRVjUQ-)@(b4Wx)TrOZ-f1 ze!%~sP1T*TB?KN*%XB4tuhOhdl8j973|QHR_5?O! zzbK8mhXmXqa8CZHZo;2UB;Ju4wZlqt3H%jW@}C3Aui}Wdd?I5_tHO!@=8x15eVQML z=cv|g?he|CxGLki8Nb#FcsA>_BmM3rtaBBSSt&6Ur23Xl2ZV3eBaTFklaF+a#W*WV zs7a1CPGFovKa^;lCh@1-hFG?}&}+g|%(@QrqOSay`|iH}IE*WEhl8;}0jciw$t6kb zI@p8Kfo}|_@JKk!+Ny)aOMu&PO)`qNtcBmsu0B@IL4l?{UDqO+m5)P06F{}?B&yXYsj4`+dQDKgDRo)G|lhP%ap zpSc?Af}OH7?58y;-!{K8rQ98Ig{t`D_%12<$V>kqJ}bxHS$?5| z0M?Op+*iQ?;5s}*H|MD<@%_w`KP`ho<(=1W>j7TUxuzLV&K7uu>j&|ltGGxOtY z=y9IszL>LpGcaEXw-SUssxba_!+R{1EQz-El;hG-41J=_STB2hw;}Yb!kKMl{&Nve zRPMj4cw#$nTxM4BJR^PN?=!sT%CNnlXQ)D<#g~16gGu;r*zsvk4bi5F`Y(K>eG$*o zT(UW-2Xanb>8RC|FpM83L&CTv7W+$fwO!s$9%;Osi!;qHBR<1;I?!>2#EWJapQY!V zMtp@Wb^k}AJibTmDr0rhxd42>Qu+MKmGGw&R;b^m@ev>3E?D^Z`g-g)*&8i+R@Y$X z(maf9GY$e58Xp$z?TVAZd8cu<~%St`j>+MF0^Sdz>uBC!^!jVlMu(gH#&dB(a z+FM7;do1(TXmNxctaj$Gm0~2xZnD?z@{EIg;|X>~HPcD;#O!B>#*)ULPCXIV{|E61 z!S<6&oT5-~LBfNv@rNhmm3YhALdtZEKf7w_#{hrutXUtmcBOQ~E>)}BZ_&F1Jdeejgj!gP|p%+~xbU+cYx$8Zn)1?G*S)3dIi4#8mD z>+Y>8;McH1PHpgD!cV1MQap9PfaE9Z>)rY=4RTniGyUjwS>!Jd9pcT~^8!3cdf%f( zIf2mMbgRWX*r61nE%#dZ#)-?M^Wj1@ic@Uxe0Hem)b}jd*FyO==67r$S1EN{8|Ehx z_%*++Vx5!qJmlN6Pwb|hDgZB-X;oM_9QF!ri3GDOap+ar_{2)HRMa6*JFmEGZ5Qxx zra51}#|q<4xw7-|a+d(SPec0N+x74pX#p>;OjSpHA+a?x-Wibcc__(`bK6rP_bJuF z3;fM;Fvbh4sc=uCR=`1>Yz8!SnE5Imiix zoLx7f3rThC+KR4!#t`g!!OwM8pi!|@I z4R;ht=i~gLR87-Fev+!57yE1k;!#ZHL`A7%@F$cark3|%Jv=M?-4!Oar~=sQXEavk0LS(`}pyB&{aWM0MkRjaAHIW`sb5+-6Z+EcD# zze>Be-@SPO@mZ1iCp4~E@QC{x+&|i_j3x0h==+Cqw_(4knOyf;sEd3Nnt*;>swC`A z*6i7zmK;L7Mku}TYtuOLc@#6p>?A*8|1mszuB5&PenJxpDVo&)yHMfwuQg0J=t-rB zbJ+&AqP=wOWFIWyC5g28`lo*&~`$9FQzTqmD)1v#Z4|pm9v+fI^{|b?3ZYP~byhJruO!%-l{ABjK)^!3$F@Lez#cnaH$(9C849FMnvht#9B<@R}Qh zLpOWf#`sAzzSWZv#(GlLfB(qdorJGTFO!zt2AqS<4KH@3q~UwHr{)V=BVT}}G1qOT z4)%+9f}XM}jwG{F`n=0x{M)Q6xe zsJ<{uM0`NWqkXE?CFn8UgZ<(UP#49L_Ev|XPKDf5Q7_c{P)*=M{I1elBRiRRpY~JV zip4Ziy#s}hIbP%7PYw7>naY1g{*a(DZHt8(a5XKLj>Bu3Np;)bKCstHgn!LmkiOI3 zrUcL5Z`~!bkW}Z~t>W++Q_P2Kdg96ZzmX3oHP^mo>oDP;@`u>h>p#4Qe5C#UHhYUY z{9VNa=2rs+0ypH3tu9woe+>MEyKC$2b9WJ6Q@O+y*m8};Z|y%h`Zpc&M>YIZ+>iC7 z__6yrx=tC^A7hzC*j-=9`QDWB`}_UCn^9F<@Ob+J(z#W9&nBH}QvB7`ZAQx#*omrk zi^6`b1r8}X^-;Nl1?ndVOqd#Xg`%DYr#}9-4+<5_bcK) z8IF5==0fl~yZ`PEIFJSXq^xH3d&_n7Q||KHr7O6|<^tE};6fZ2gS&7#G0} z+dM4<{E4<^g7DrAUf@fQaTVUx(y?!4^7A#@Xma?D@S@ARl;Iz!x!oy0D~WxlvrwY- zjurAFddeT^MSG&Y5i7mGVOjlYbcM6j%y9!m%8EzW)X4 zc=R0FBK5KhdVtp#liyH?_=7@Us_$tv=uP!CPtVeC5cOL5y+ys+j8w$IY3xmUt6yUu zcZPpWx%(Ra3uUXSzx@~BR+9E&cW*GE2m9kfrffcr`4^gJ=he9i{-T0x>>~CI$bDwE z^C4a|>`C>M0>h>GB>Z3YUFM8i=+BU~&D<9c!AtHsnLjH?4Rv6eLYsHl9VXSOS^l-% zpE?82Gcp$2+le}&ynZqIs~2%tKZjZ`rW`{YmZ#Y+eegSQx2{7q)$3n?&!kAZBrl`~ zf4VIcJ3qb++|u09MH!63uS)}nu2o;_yY^=6STYVeQalyWaXv!{X}1b zeeZiStl!-5k(>hP1>rq8Ue^axkBS>8C0bHBPr&m3XsAs#3<^U<8`Qs8$n`58-O zz9YV&=2D@0z!dq{BkGIpJTgQ6S@+$JhZU>gzc9}Y?V)Z#edM0|ttOwpqyF~a8y{At z-A6oxu3V>-EuVMYFwToRJ>;z9`ESR~V>m2+W*`cK0+oeK@w)lfny_xeJ&_CO_ z$Voo*4*kKCRIw`fe~fT*{YZJ(g{)U%J%@r|=O{IQ930aJ&q!hIj9nVpRsZov#M&>~ z_|FBuNAZxxlWh!)E5kl#GTNMkJFNd&vTjo<#^tBSn)1ug3yj&fPfF4ew^BMBQ95u4 zaXzJJ%?dG7Qhxk}6?x%HV88GpF6u5UC&__%Ud>Ju;6n+2U44Bc9sN`PVccG{*cI!r zUPNUu4fZ-S?;O)66S#oNms*Fti@=jpa*B!^y*oj)HE+dluyFKBR6b6ZDD z+7k99Q}6te$HL%QY8oGWH}V<&j@sQNTD#lR@V-!2`QkUwE0pSeb0gOhelUNs(s^nQ z2fRe)-nPeG+p!*0MSapb)JgS{U%rc)YKncp-g)uWwvCWOl)0yF)R5{As7vp-KXX1Q z&cAqSE6XqCi z$r+Qkf2iX5O2rn_7$2*MHplU8VE9$62c@%%6L0>392Wd_>Y*6z2F7#LwQrU`;^dS^H~$!)(~wigyH3=N<&k+EY+6 zXW1OsY2w}D6QVh=Z`p5}xJxFGciC;2RW%k&@^_ameA3wrexk}oyYuJkAXl|5EW(%M z!R}Hv-J4*2lvH=;-aZK%O-nq_Ip-kvIpPtNTJcD&qu4KMnZYHV^K>Tays-Ja#&mn|AlS;% zm%`0R^(@q;6xPH+9dAwKj$*}V=hKbPO=5qjsYh*E76cqmY4wB4SKCQ- z55>&=GPPiL%jG|8>>{22A^RhDg+r_-#7omWPH3{ z;)WXX%X#l^oLIhwkemFGEnRCu&%y5zsx>MXL4LBOxb;uFHQtC*QFX|-Y> zX`S>P6D;`*e3ah%f7{3f__X+tu1#1KF;Dyv!MEDtQ-BjPUwLFa_XO{lJ)LsyX*b4~ zc1i2v6L-V|Xw*&GYiz;CV#sT4nb=OMPqsNTGsYWoQnps{^Ym==UvA;Aw{PamK>y_< zt1tfsuUh)AF+4L)k@Zd zoMtqJ1Z_J4xvQ*FalZT)_=4=#V^w7yh%@S(^V*ZtkMr-wmV2HUb0PRd{9*d7>lX|$ z{&J_k#SZ4fUupa36!mvC1<(JqGnRKAd?cCeCNkbdu*>A1xya{`&LyDU|K+1wN923( zM=un2y>24nPy9jM$|;BMl@RSde>=g9m*AtRm~U8|uY|hlBWI5mNxPHs`jTRtj!_`z zScT`d9Fc?FB^;7>Y|cl-Pk4!zd(zd3x;^}{EwcjS1b}039ln@eC5;Euz$IY$QOG@w zS9ztsKR~ZghmuD)vqqY?=q~0y6e19168OpD?JLMM<-{1-r?n?KE9Hs}{VJ@|Soho20@gZdr^^N-n#JeMv zfU~k^TB`TC<9ukSA18)4fZkgGWSZ zGHnVIM}N6x-*f$xfQyali`TE(bOG%TkzFOVz(d5#%xX>xlXwYY`>fj}!2gr|BeLX6 z&hUTy5mqv9motyRDfnahO8nA5*q8F_q?9UUNaybIV{UDUgnpHXsrf1viG9x%bU3!^ z3-~*7o==_$)#_uO)b=a(ZbQBX!}cs)p&#}>rFrw6=9AD%bmy5LpDYKjS1Oer5%w7T z5e09}%xpINPF`rW{hC*>$C+9llN}V)EoA-D>RVHdcuwzj(NlMRp-wn`wV`nzsm?ZM zb;z5vTO>Iu`p2bi2zpC$KsjW)7H}3(^Vb)C?r}wbZH?()H)FgNwsmIY20(9dTa1M^ z3IVTFY`(Fm;G;XnyYt%gu-Bw~`rkJeNI$_kp;j`Fetic$#IcuY?ux)Z6u&pIbKPlIryXeqE=5;QI{%dhxg)(NVq%9Q_)^kFcYnwoBb{qAv2SR3G;lCE!Ntl_IjA4T zj1N)I?IP6!5?#R`$?qcCLbq~#1K+`Zq93)m-|dZc%vfBe~908deMzh?zp0wS7cn(!+ey{Xp$Yu5#hFsFKIHFCVT-kh4A96q> zCBEy48F1>>qv^u-cHnt%Z0$1A?cjg2E-;kTo#D?=TN_N~{y?6i)M#2~!Y$}6u6S>1 zyTbtS zIjIQy`Ct2i(^41JyZE5aB!7JR5j{o}?w43z@pbP;*fp}NzAmHiEHR#ov>pjM!QZ3{ zw%4f4g1n^m$L@P^lXNcedGkAK*8#tvD=~vy_X1}W^}PA`Q5xid#6Zi7!Xfa|m1-{0 zl(u32EAfW58%}`VDKq2gvxSDFyp6Cnp@CuGT1>kPS?ifDM4R_#nfXFn=y{2J%T`hG z7yqr(cyCF%HqJe=WDfLwuUkR#^VDLeY*8TDJCV;bzBG`|A7MGp>^FqpBXw`ki?@Yz zK9{DT)S=^~^M144Hrm&a>J{DYxXba(#W?-7=I^Y9USQNNFq?h{^_lv&`#ojtMBa_$ zbgdnWHe+84P05_H`4QsC!un^^DoAzdMI0v>jaMM2B*gf4Z>__*JFHnTubZA>-7(fB zJxSg}$W{Kxc|p}flBkm=9#&@AI0N-#`(@@a6JsEU#om0-bBslOuCD7DhQCSYI|}IR zSJ8JR{0sijL!%WFX{qS%@%#QRb1^;w!xMVU4;c;Yo+c4@8FnY(!ny$}9f5K8* zU-vj*yan83e$65AP2z6(`bD5VS-=crq5#Voysyi~<<>ah@M zlD~CwRbKCH;N5aV7UwslVg9KHb@qNOz>z`fw!h53lBDBX|-e$=R-XSsqjRq3(b5axJLW)H|V<&>oC< z;ZR0!{@ZilOG#A~4hWrvURJ*QGJ4f2*n!Hs<~&~{>`Jr+DFq#WNcm>8Bh#-N-Hf5^@0Zd(WVS@h$RVg*6Odax82`jYzXt1H;=bl$QoDDuR*VNT4u?6F% zl)vCi*gVXmIJc%aR5*obtDSaUdf+GIKKGj0yV;W9W6SzZy_=T=d!KpYP2j3PtaE{V zd-XM(5qBGEvDlq&KLhKune&We0(*v0_EDJ83V*A|BakOl0)ADmSnQ#REd+m?-)H@D z;M_jc1yFo!U2(SnexrOr+`w^C9T2X@NM9uOEq{1o`2H4wF7)U5cj2H&5?)!eyL0dj z_!F{R`;Vjhfr|;AEj)hiCFwkZMxWSqgD#}!8@C9av>@6Ohc{PzGlm~86r~}jkW0$T zyIDSK3IpRwpL*!|6^&Q;{;x+Tr+r6VeA$QH?lsb8c>bY7^yS8|x46=bBDMLzx9Q%i zwpew6f2YxXQ#?k5bpFJ#;hjov;cqI9iL2U{K~5=KFWKossyEA#6gakDZ36Rmn0a&O zL!5u!ze?pn%fl*Uo+sc6z|Aw2WF$LV8^fPx2#+tXX)ab7|~WZS8aU$vBdAB zxTc7hWTKfL#!q6M-1B2{zzx~YbGM&=2OLZ7^3v&6r38+}A8X&dFf$+LaZ_VY+2nkK zeXQ{D#M;QG!0!cQ`NLlnkXk3`EI`7)f89?@lZRen+a4>8e*n3`DSrRh=rH^-=A9KC z%DWIhk*DAK?j8od-l$LQr#Nfa6>{&?ci52X#L&aba?7Iwus-rK65Bk8cm=<4?#|H_ zD-q9>cMCQYdW7#|-mQ2Wtwq>z{MO7|`lD;4y0Yu33df0j&2DYC; zJpt-p@96f;7*9nu=aHB_crD!c*5h+UN%5ppvvveMA@+|YCEKA=kq^5_?Optlx_02s zw4RN(oA-dHEWY*Nxyvm4o+(lm-Y@ICkJw!8J*aT z9=u5-)e(3K`;n)!To3dlMb9L;;Roa^$N%0R@mbJYGyyF=-5EH)s86!x`TLE~W3pAZ zb7EY8!>jnTNcjnb{YQ^Tk9RJbx(fKX^wI}qGM1$Jr~Yd;6$}6`RNE7_?bs0PGhX81 zZ}cA+XXS#E1)nzq&r>?^>D>=wj0-n!acQ#|{91}c#3mO{Pt4==?;`ij5x-#A25P)8 zg4|$LL_6L;03Ir9rlVSP8RQ)8PwP;d7V=@})9G7(|3F^floemNC3>hQq*(lF`0G!s zL#^$fRjeGaZ*>%_6y7vJ4$;o$JEkVXzEoHq(Vcxd7yVfk&GmhS`pLtgK@BvIG~zln zbL%sOS){xzDTxJBk&f28&*-of(Ry>1TR-F7O z5qk)HH~BMR(!ag+asR`VcMqB&x5V6SHXEwDV}6b<^4=v6JwX$YO)68x{IVV&ZXfyz zxv2i#?!n{VuqU;?P~~4w2d<+c_*jnZ4!NakKb$mZL^?0=-JPedMOfFIphs8t+<`x% z?hukOUzBuyM&nlPR~pbu!qL$mw$VxJqffDNN)WzB&DVV0EivFYEY`&PpCee099REF z)fnh4of$TB@1?xYSN~kw>hYnrI;M}>G5vJZF&Rc?hJL< zVVrQGx1T+MyK!dLDcL&1KUNvsX7GHJ6rX7oFI=?&aarC~Pp;y0*o#c}TJP4W;2qPV zqUM|5M!ZOoRrHIs9{z~Z(uB{mq)2&cFK0B?>&+nA6mBfdU>WcTWi87scC+{)oF z^BmYI+%q5NO}8xhr_JxJdo&i(OtdW(eGHsL%Lw9?^ixik8TTRf-M3)*M?@DdU)2Tc1Fi*T9nY_D?fFE-@6D$&5;CY;$ zmtwW1gx|;Sb?I64M2jS+?w%hhh^`^p8jG`Hei^0`ZMOF;tu>v{%e0Jl0kjy{8#?u@ ziMe~RZ@Cgz@|Z061C-F6FNJ?#9Z{S-*66+kzl~+TU-+^p>YM56N3@qOC)tOZyAHgu z!1z)&R8sd%0%uT|%pciP=t8uGww*qclI?*0XP+8vO(30je%5NhxdeDIt9+JG*h*4e zxYC-ij?ch>q^>MD=zl{Wy`~dfxMi;_>hG#2 zW+{ffCDqH_F@G@98u`jmeLz+4niL+*G!<*o((od>YS1*J7QHu6D z)!vQom49Zm(sBjjr3yls_uSKv=c^v~^Qn&@)+>9?=`waSDPQ}$uw6+IcoO4QWhq1M z@JB~K480h70Gx>H_5M`2KJq`92|ZuLuK@R<>%OQbUd0Y7y24 zC#J$LsGM|86my2nUR~Hp;{8kHVl@ySrBF7ASgRoZ#}K;Nc1{C!F#Y8&-?$y%ji@Nh z-e*)ws=u~IDxvQgsh)d|)EUuG@b-KBVfAk1%Pfp})Qr$U$(O)7DScuC?ncUv7`U}=6?Ll&O)Jam^gOR68 zb=q-G{2=peJg}jeh zewzc(cHy~2KOxo2sz39r<1*whdv?ta-_0bytovc}y?C6bFn+s!kzF6+D*_SU^Im4S z^Q#&Im>U~^yTN2D%6=~u>|96J;3i*nR+^gTS_|bJR)_Op+gPk^-@Xat!>z6 zYTH}qjy^yhoAe5=Ho@Z|{Yqx@h;!I4esbHzinUbI#>MPRJ>nmL_?EN7`{i zXQ2s&#Mff`e;Q3jJ)QnBp{MQ#kvG=*t+{Ji1#k`KSFJ&@TR6{RBB)SiMFjM&sEEbH z)Muo+Fd7HPef$vz6k{*<@Y@8vBgNEGK1(|HNAieT#>8sUc`(zH++34j@5+n$b$*dT z+?Kld?5LQKYv^CN{d%fB{2S(TAC~nc6|9eid(*jVfs-)bmc3uTi@=@u z{fAcN-Af3=^8^Y@E6!8UpKmoeTT~EFkfBAcfBuWaL%p`zcisdkez>I2s45)xxbQmT zEo1#yAM$f5Rkmz{|4a#)xA=Q*2d>BW?=5--yG`&-PC)w<75AOG*pub`>L|#w71HM|LdcV=5dxW0mcRo5xFES<7EA}!L@hvCS z9}B5*e0>J|FXq#5>-F!kUnv({H^#1lo)FBt^{nLyDetem!$xir@k@HiVanT1*a>1S z_I1%4!24k6%?}ceLH!H1vDjZ-I`~6!uPPSnQ~*EW-kP+X(*b!j8hyO&+iJjuEIL#QO21*z3C+0JnKYA z`_exVwGdT#QavfB)V;V%g-HNJYR19f&Aey(v{ zQiJwz<&)Tjr22fKUu-7s2^al`_dDeAvSfHR>AZwSlld9QkL6FCm(-%w%^=!6TO8*f z90SfEX+8Ajw+Q?Pn&{r+`h}Qh`3wQ+KiRMk#2(HKjQv9RmHbiG2~{&M;0PkcaYA}2 zIA>}=XW_J}ERtOO;>XLm6pHKH)`piB5I7OP#qt@)Fa`Gu>UBMO!v=mkWU=mEdJgIY zj@(aw{u`<-1pAg9K7}dbJ#Qi(=*K9fq9E)<|P3oqdL|p^^ z*qk$~uhJkF`Yj_0o>NJ6w4)Y&e9HztD!L-3V8{~dN^;JXhyzN%vqiZ35@+)fFPe}U z=dSCh#rwM1{dyMQ-!m^2^q+nQ`%U&-gpOYoc`5OSeyUVBGt*x4&Uo5fpdC#^8==NmJ;?Ie<1#r!ra@i7eyKhES7)3c#EFebhl$O zc&_3xrxGhei0|dMCI5W7V+Q<_@rZt>6-?53fo?%6KY7Hy<@a#)!ZXxJyaTz{cOT^v zI4HmVL9Fny{S#R4&$NOYCxB~EglhK9=yAezkCnO-dtg_!ZaH$v*^KBff9T@Pt4Tq~ z-xiN(+0X3+ABsZR*>mbEcpuEkwVVIEhTSlHczlE3VepJwxqt2l6`=o8mLvDw)uGqv zPj5arDF-$<5v*kO`iO%r0f6)_Y&^{65|2zPrT!KAOQOvaTC5eFi0c9eQfp$6Pr+~9Cb{reEY=hAyJBQ_CB{cSyz%Ep za|-VF7YP~Wk?O=tT-}`}13N-&*^{333h+bw_dHs}`HXn6c;|ZKzefn3Jb!4~M*72R zi04QO1f;E&g?ts*5NUh53wakZ3*Nun_7!$f$JtB2p z<6v<`3VHbAt9rHWNrES->Qb9mc@*bLwfSeOjei6lORaxDHBKJ&joP=nEs}8uE+nHe zxAgdKP@5;jenWDHq?fmy!JZH}Q`IwlgbBIF|N8QV zVSNXoXDzw+`;INY2|fp}@twF+6ycZtpZzQA*f&hd+v>U18EOo<(eNRndPo6sl~zHs z*zO0vR^-dJh?TFv*B2N}+dZ$Bz&ZFo4=n%i*cN(_XJ9(r;s%dsGr|N%zmd*wk$3-< zzt*6N`27H7_S;Q7@;%Has1;6I0j!%)yTYkCfm0ceYc52hNut7V>QTbKIY3kF{EVUFHG*MAGKuEuJ^S?h3(r7F-ng zYvW&x4<$-!$o4*ow{WVXKD7@1^km7al>0Z3AJbI5<sl@$?F)g`_D)>tR>EBn4 z+M@0{Wle9xVROWbB#e$^=iP$8C(KMaCEt#G_KpN@&=NZMRWz+!>591|{*{Ti;i*1? zx6QAbC#tehi@=rmUDBsxbykB%m zhZGu841*Te5N+|MRhrgiu=6RJd;?pyCHi|#zD||`e1PHp`Buv>IXwS#MV80z@Bh&w z10@5dbCSU?ksi-pm51{T_@g$4I|C(v{|@=Z3uhN%9EQWh>kcggA6s{H0lWixu1mDF|&)67w59izrE4|zl84bS8z;HlE=_LXm<#%eo4l!>e)nQZ@ z`^DVz8vT9tVd2Uctb0LDaMAi3h_g}jV#FoCgE!kte=^5Hj<7%Yb#W#_Rzbu(@yFIK zH=7s%ZX?-PRuho~9F5o8R9o)~Kd`UVW1_|c_PxaY*%X6a&dK07(2pV6t<6fT>l3C1S3FW)8U86gBq<}cKq0S$Z>hLs*8j>^0EKg3Z3ZH zL|j)btV5{90&#Nc=8MaYo&{f~-!?}l{{rkmO5M_6!8)un0pWxjMsL8cVx73R<5~df zZuA%${=7BP+Ct%6}u>KUt&B%J8^sUi@#wf$6p8 zp^2F{@O}TcHlG(juF#~DkBSJvF45RzBNmg1`D>lK$?()C#6LKJD<3MEAudi++q3-T z8}Q4RXMbr|R3iSy-28FZsygK5)?Qb>YkUZ}k7A+2rpMpF1Cep8-l-)GzE~qK`i000 z)YYWieo%MN8~zp5@~nFDe#mj*>FPgY0|coto6lFFSh4zlf}1u*h#~JV{&2xI0vA6@oPcm7^zO6u{h6=1G|Ot zE4}&nF#H2KEpCk3Pw+7n9~w~Hq=8HJ9%aY66(HU!bLM`2^ALfb@W&zyZ@iZSPo5?6 zTltFvc+JDPGJ*XU;7PXIk6YG6743&+;frhQO9&>H1gi87dZcCShnKitup9IQRkGto^6Pa3W%mz z*>Y2X6ewOG>@za+( zNcCdr#?xKi-yqs5%a(MXzCy}J4yn!YHUmB?A@I<}A_Ddi`-yhb2LaOg4}zm>#a{y7 zmb+WSX#9n`8q67LGX|`{7vlBnOg>4%II-%NnMY}09weBbn~R4LR}ykwD}6T{{=(Sp zSytj%&;yh^sWu~bun!djZ$&X|fj_E>wfqvUhkjR@zkbYK25~CQ38zqjEYdl_f%&aV zSfo1F4f*YlBr$%%7gpW*a1?TYB`Cm3NrD`f?Z1}U5`ws#;Hz)0S8tN)@A^)EyebO$ zvox8#r$kmD{zNP5RV<1@zC=?>t$w8)`p+v0O>)UX+>sXU)%RNvyk4chOG9_iz#o!z zdzid$G4zg5>Ds@$yTPlFza^VIWd;S~zyAxXkOjQIYt*HB-cMrw`Q1rjO%0cTzsnue zbrp0a)iGaqYRR%__#Z;HQ5Iu7tWUbT(}J#KtY=pELF=k8;Am5J{C3@D0Q+5r(I({G zi~cItH2dAW0=!#FSST)OH|n< z46B;XyR~Nm;~{&~U(yrf!`xK<(fB>|qQc}yr(PfM2&8s3b>wV^9;K{TG^o=-zR(y? zU{1kYgvCQs73MZG%5}w-MivIb(Q=^{fWtRT1<4PY&_~82(RgU$-IE4=?x>)tG>K zUL%yE>rMlZhZNI;C+_Q_zZ(6w+jpHs+(2pg*wjUb5yzK2!(KR~1iVLuy0tA`4|x_8 z_us9nN>cIr6YFeyEN3W{!jg;VgY_ZY%6PPVm(Sor{3u(Ds;zB!5L5o3=dHDSs#I8^O#l zpF^r0_}-%R+p-1VAMs=gPP=J>$H{W3@mL}X`&-$E6Y3xce}HKiZJ#ZJ`BYNcH{5gx zJYwqZp=Gb`BR)l)*TFG32R)#$L(IT%DuL(o2l_8R$mYWzQ%q`<|7@d=@7E~GWbPp4 zosGoiRg@wAz}{0{XCw=Ml+Le9aC?OL)|_whG~@tD?oZY5(i0`ES4WzI+EK_sNlnW@ z8#~Am)n{@7LTvDUm6ysKo=rM$kp9%aT6se*(H2Vhd8SPl_9kuRlUFZaL9cSIKHhG% z3UW}4|9Z2egDdVg3aSWrL^>Dk{jCx+Nz{cI_uIOEt}Fasr5Vd(HB5CISL+*r~>bdvl!m56f%FMEe(7+8FseuibLR^QS);*Xl9enHww_v zxK#kVNIE7jGxZq!wZ7SJYi|!C&yiBXH?i$QJcsrCjcxuj;L=?F#bhae*r}9r!B6}+ z$ZMr*g{^$D0z49p-9k!l(osim&Au634fexd?SUCv#5woE9L}q3>x^nR6UC zzQ_&v-_5UYV14-=+;edu_6tRL?J3?f#GA%MFF4p~lK5bYieyBV0e7ZOJf=yBBHxTn z(Vg>t^f3BUxS=!B7XBh{W3ltaHrQPXGWPk~e887u3Fh}bGX(C++VHObYyo&O%!zRS zMD;cQ(IaweD%8J;kj{18pD@2f9K1`$>ZcmRneZc}uAKO4aU6O>Ua!ZDT@79&bF8w{M^L_TiH7U zh;bTd`z}227V}OW;AUhfk@zNd)ry%0q;pqW=jgakLmW}=`JX!(dGKFoCQpnKBuRYp z&^-!H`>-!*d$cQSy%D#P|4?>$pB0a2%XoGgU7U`6A(Iue&0;s?hD@!Zm=O*5rNEbZ zeb;I5C%9T~N}BJv5^ce57j2Vuh)>BGb@d#_^@z z+Yz^>_U2sZo5cLex+XNrheB=%*L#X~ttQnYU`)!kWxAxEEQ$FQ*NduH5el47 zF>;01wX2Zp;w}%Br{Wx6OUa{ghq8^KX9auJt}IbR|D-49SJ!Swyr(O@$xPG*d>Y11 z-PZ8`HUGK)i%!>A5GhV*_9dFhz&@jo?KqP1l4S30i!3rVhuuJ%9QwmnZP|1mYzJ4sXGF z6)_2&)U$>CE~S)xw{S1Ui#c$j-~Ai(u;hiCzWd{la15G6L}j5%-bXLmDJG_SA+oeu0qt z{K2Xzh1^cmwHg0t*Hn5G<0YT)fu?B(UI*)^`0m%I-HEos;-Pal&XDR0I$P1_t^j{Y zw#aU8e?9OZS5bQLOypy-ratOPg-z^qhG#miFCjEYV$)A0+ z|KM7GzCGTx_6Fh&ERR^@$~?sV`X&=={GP)v6!dz0XHl{P(Wd+@eA!>5kMH_gFBN2p zd6f-tt-l}-zRgI{+ZYcH#!*;*x1>Gk{4mK>y*Gw$fl~=j7j&zf13sDJo2n;rN`&0u zcULp_-gz>ExGuyoP9B^f)(w9$$yW2=22$O}2g~)&B#`P1&V3zncq-~x_k4QMoiu|- zT$fsWwc!oNm1xUt;AEr}XySQxZFf?q!X9b5b9UeS_oVadE0Y%O+6Dhia&+A~?GUUR z`P_plms7DXChW{=Gh-1C>do18nlc`M@4I^N#jjk#AL0+FZhh|&L*yOtN6R#>E$e|_ zEugc;ci&pzB7)*;Bsxk_hh{X$-pz(MgB2eW~@P$VSA9$mpck?>adD{F>0A659y zpFd|I7iI6KJbq)3>*7Z^@q_14-(X<)?RU2dV&C(}w^g1z(~5Xk_j8Y+crlC*^@Ce> zBNhIzgnF5@=OfrHLdVW&S^j|CBUBRIQoRlShrEBn*0e#KcPAp5!Fe|gJO;5Z7exH% z!0*R5xBlLBj)b>w8{;*v#C{SmyPJ|ao1|xi{}gDs5ptbBcD&n@{#bU>Qi-Wh$ z{xrIxt&YTxqscdBHsHEY>Q5i88SH1lH{)K0KVVl#4?Y@vHf%|}Z=@$l zy5kpKVLV>n(cg6%_I01#Q-{B~Bwp&5X>D_lK(Dg4C{KBF7W^>9!@}0ixv0<3oxq$G zkPo>oW4Y)Dr`!V1AFB*KF42YlQ+gESE8$;BJzMr$Z8q=~i6BwAcUA-r$RD*x{ND7N zuyb|}|3CW^Vm(6bVsy?lj65FerWzb@qU z0SA_mda#LW1bm3%@oa(OftUaBM}&5dd|7iE_Onz^YogQ|*q5}=KMz_N0T*DqK3nd^ z1z(-_&dJ%z6n+~!$%>I44E&iLV_jbTN0aAxg)V;!dqY|?t@@}xzMrEQ_G-2){4<5cTSO_~_3RqYk@xxahuTQY2ny&57Yfsjv?jV?BJ~M%V-DZSRcxt^=2lpR)cylQR5L z#aZiqO3%c30=!| z8C5&;h7>1l6TG!X2mBmP&C&D5HKaJZdG`BP69J)a4Lgw_xF!5yYz`ZLAYCOkw{qlAHdDNWovAd@kJ~91H#rt0Qv7 z$_*GlrB5AC1yhlq!)elSdrpJ@M-PuHfL%*m_iF^lnqka43 zVcgdT`4}0|3aKREjN>=|HvdOokPDmBO z&Qb0SWtsesyZgWU;jlY+wXF~CZ$9zf_4TOF7HhtHYuN?JhxA6l`#(G!@%s_d@{fzO z@jfakW|HTDlh3*EZp-~j#{R5ZYieChn18}KCx12qej_d1VVSA`&a+gYu3H=l@t~~E zY3Z>Ym_sW#$Mtaqc*v}A-=V$Pn#li1?lq5k!+;-0d$#F)rzHF;C8hmy$)AApaz1z4 zJ>UnsNW0bQZuJ7ZcFwMcPUeJq6NwFCvb&cP=3I3K4v3B3#q&lN@`cxR;_J~2U^pOjL}*vmG;d!LaMKahvKl*k!>SN{U+ll06^PKTGi zSZhl9L{<>^FhSjUB|Bkvlo>JM;=`%R?o+$rFD)3^NqpgYWf8+P6qEFf{y@y=N1sjH$)>z^_7Wwk;-=2c~^pMc%--EoL zvcwg`2+aL4A&sRzrR;~^5#r`vy|j0Z{XA19i#{gbBluT8SP?c)2y;|r7?Tq|gn5$@ zmZSX+;8~ORm*qa%2V8-i)RvT?Lcq-gY_3S8!v7NdzH0ZLX5`_>HwHrnc#*H6y}Dwm z|BI04U$*+FiX3oH8PA^4AHSe?XtA#@EPG49%e`mfYq`MJn@RUu+#3gfP0GghZ)P3v zWR9JuvNn`nV1K{s_(SU8I{3FFX2{%!1jvKn-Oh`5rP<#%5lfB^sdYs@gqr7c@tPU< zXq^FS!q$3ysf1&vF<9?E3VIFem8Za>_PS-~>`>Sys=fkRORN>wmoeOvs;* zi}VC2h(E-ie|J4t30#(`a{BvrSLj9Frsi*>e(<-M0Xiz-bi^NI``P&AE0L#_d20Ud zmjd*Pg#Dh{f?nt?p80{fpaJl|)NCi!m0BQw3JpU=f8)TTmmFiPv-g7DV(y^1G_?U= zps)V;b?!dir)-Ln{s~RIe-+WcW-r6xuTM9pZ7y{s)CEXAIP$xUzynHlOW_^G{Yd9u zNPN$P9ix)piS0Q7`6Z2&>m(h)`<5MZzNZ<$WM6NXKX*9(4)RsfM_xT&JPN-+-X!)g z=L*za^Nn6vvUwG7MXo}%O{_c6AEIX0R=!Myeq%1l7s|Qqi~m2G_+uR%eOJ`^xurKO zV*Ayso}CJUyDTB!3cLQ0mYoAmD0Aw(bRtna;n2J|_zP%Z=`Ww=Mn7@Rx=+ z@>TL-B!zee^gT_H>b?Ks0Q>*ve73kq6Xw5&s<)HXma+X@*5nhf+YSogRq@|c4a_&D z{l|{bRvqx8wgb-#g`>@6FaWec#=FrXC{2GW;1-f5M{ol6d|9icDg(;7x zz&~m2UbC#*m?Jwh>*={r6M10H?NccW_z3go>S@Okgz^7Oo+^#%e8N0{E8n|Fp@jZh zIe!Izco}0~z8&7BSWTFds+%57orT`!E_-QCuK=#1!M`a+(i!-;!je@L4RYX{&puco z>>h+XIOST6a$E%PY{8~>IpJI2MN&`4zOL^DuA_8?Tg~$X^e{a#U)$*>_%M>HA8)@* zCgh8l<7yKV$ODQDZ5xdVMjnK(qfIE|0M4ScB5c=+H zh&@*oi}O#MS9k%OYe7XQ z=|Cm!m-}bQ^$Wj%`*H8JnX(}C`H+2ayGG_Z;uUp^+Oomp@NdYHt4*qk2z6m%B|1@L ze@)j!!D{Q^V?0fL+)u;FE5NI1OHSJN{>FC41bxY=V!}m3Dn~aEg|sHbY0iao+I=F*s)Yp)(?72YKICdrHX)CO{FZl+R5HO)=XLD z_UOm(|LEKmXP0wBPsqxqr|y0a9862dH+Nwj;!$Dcl`rJ133Caw?A)$T5%lEl%0+J# zP`^7BdG6l#vxwtWHN{%b8N**y;vM=)8->44yRZLQJOg=mm5q+>d3#YWKdZ5`zj*l~%VV@*L`=&Pe(pQtpqk;z_D z9UdJo=)(CE3GTS2c8kEXe%kwnoqgV|TR zKX_hEgF_o5JqUd%&z^k|_XmC>^Jcv4GDpN;q?O61yq@8_iuiLp*}SEky;l4pIQ#Jt z&WpsSsY@~H1Gqn3bLTXP2K@etiN*^H*ddzzz5at#_>GD!cA<+M3H=$Ij@R7oK>m;V zqa=0U4(bT$4}LFN9S=Jz)z+B*=qe#kFJGfx(}U-e`w$bi-iOftPHZNYx|@JQpKW=n z??~96Z``IeO2&9T-|iJbE|_yA`E7QI9ih)DLv#Gg!VKsKYV+#yjCJ63@D!fix^qZ} zEgutiYgGDtC*b(u9Us(l1 zgn7@KMFppF&}XDIH-jEq2s^>CpO-IzkeBWl_M8&QC-i@M)4O-+XW$~FWF6I+LD)Mk zf$5RN%ZM8#{`GsbQILlp+n;A45)XWomm#$%UmpGgX>X+6x>4XL^u5w=6nC)YjMc1b zVslChaXX{kTc;xcJWbjr(@2i{$RlzjiCunXMBr0gGFqz?fqE0tc&EbS&b9@73hX|1tg%ab&zp4uC#0+7UFK)tz0s|uel~Oh&lfWL z$uqhY^(-CE0rHd@HlEKKxkbLyRS&si>=^m;^#=OO3OpWN8GRA_D!IknHlJINN9We} z6?-#?eq%r5IcxdPV;cwS#wXhpqcZP*eav%@Rmsxis=PmpS&dJT5W(Q#RXv#~1 zSo`2#i7&g$Otr-Pg(=-TW-TRz_=$V^oY4y4HuP402W4lxKkj@5GIcBJb);|1yHX=Q<+xCfe1yOv>m0{-$it2s>P4E}LEfAHWoWLB5Ab2KM||qfEa+X{9hCuM1+c3^ zU%do#exN_xu-NL8=Pkge;Z(TiszvCV$ocYY>5VD)|8yghvwZ0n*}tDz`lhXUl?i*@ z$(M5S-2>Etwq)2<0Q9err;+d;3^3kar5ls;}o{v+@3-U))!|2)iQ8y}gvN z7j{nUT%q9UIr!6D$1}EW{)@gd;$ZM!UW@rRd1f#))k@i!$Y34So;Wrdv50`LgL7l&)64Ihfi%=!1I}Q z7t*`F6ZnYW%LCg#GO#~5GE}1OAUhQAm|kGWwWI4jyljsV2-rSZrrE>xF%rWKc?g^dn%_RG1wUMT)bpih1MpMko$0(Ee_;m&Ka-!Gl!AXk7u#uD zM#lA+x7F4je*nG0_-q*W*e?b5Gj`~bfh`-iV2x~PQ2P@BT#I*V{=%;P;BWBcEf^-h z)nR{s^x)G8%`d>yrH=VJ-seDHoAEs&6=%(Xr%Oi!zI_{t`XmvzpEhxe5UGg5D(D?E_i+YgnXNvJf+7vAMvCL*G<{%SomL*4<011{fK`ke%q=A_aa`D z+E*pNM}jc#V~zif$Fb;xIn-R;EWC}#BfmyUOv3#$pBN;z9mhHEReZjDtOfC>%ohjC zAEMCPjJy2O8anWEpDV@OU!5PX7odUNgkHqHOK`2YvPTg7B>%Y zBKc8^luF(K+>d|Fm8L@Ea|TZ?pW1m3xGqy@r`nb`!1W{|gVOJ7BmNg5aoC&hf}bw) zAU~H|9sR^7#idll=Lo!yl~D>IbV!;Rr=#txY%!lVS`L*q@V2C(nI; z>+s*cD7DdLmg?|l$U`d610hvW@{m z6YSri5hKqi=($m|v+B|$^wsD-VzFoL5cHIy6}MJpG4Of;U5Q=cx6sFALa%TpWE%HN zxw>^J_cy})le_{Wms8-I3EZTn{n0`^CfVz#QtyV(xyfI*^=*eg%5QK!<`)ZkMwWZw z$K?xr@O!JfcX~5{_sdHM9!>s^{F8X|nDzQ9*a^ym4mv4>1M)id=7p#&`cRIaGc2?` zN|+<|^8C-u*R1hA`EAXtOOOvC@8S7yC<}I*yS{Rl-(JLX!!E1k@83rs!C}o8UCn|G z>~+`JaY1fT@U2GoueAU;dgRd`z!R6;Qxi=bj(j4#(s@ZN0qzg z34J@xidu(1vc&tCj-8LcLC9|;@I2EY5qKiSoJWuNVJ+S8gm|B}e}R20a6hguKpY;B^P|aewD`Jt-IHPX<{ug46Nt zf9%Lmooo|%3p-E88v7z)E8hzLn4;;rBVZVLQhMejPx%krhbQQyE5=L!PYjrgj)YPuL-y$$GHc zL$aj8+;YNv1X*qI8ZpR=Am#X0=QZGEGd8Qa{f;2?uUhJ<+#Lw{VXmqv;i(5MMOCu6 zBy#v7u5b9zSN$}20ldpxV)!WF#R{%>HXCf3!~U)B(pp!*#wA$uw#HVjv522|94a#W z>e=_hn#kG_k{As9oOF#`zll(P%=;@-;9e{8s@ws20f)FCZ?r&{Q@X>zVQ5QCVvSSE zA)iYhcJ3Nu+Z7Xv?f&l@t^-G*?G6>@lZ5}zdv5Wf_z#GexYqec@>FSK|KpdRQSBwp zDR`%YVf&IDkdWTJI0+{nVbIV6_O9*gP zihA-Y3ley{g0IH=cdwMk^IcMT!Boe2#G1`VL8)&e>ITgwQu}!@=fu zYt+F?)U@qRvuVOwN{O?a3Hc?hKa(!D6?Mrx1?Kzix1!Fo_jd1n8+XL-)Z{Z7RRr9Z z>(3t9GXcQSnH)UTVzUH*d zk*E+spA*`qhEC%p_&u4y>vDG)`gaYaEv)$@Pnc8iv_oM2AI_&@$OnxL>W=umV2FyO z{g?m7BL)Ha&+fn;G2Xe>gds1*8hJl_gTDa%EGP23c5^8}j|s{$6)zn_Tqi&}QYT$X z#@cXl%~l<@f6tn|y~ep(7jPr)3AyW+**#-`c#Zei$v>yx0^e8JRCaK&E}@U!zt&N% zQSd;yYzxT6VLI&lnVT9}?%f1`oZN2KlyV@1y=Er<{M%!T|EE5z3~*b5{}(#)!lKay zd~hn`)ivQg&?6F;ZrAsq2!|KeP4P|2gMo2j>qbK+beGB)=fw zHX_wwg**P|asKyy{d-Q8IY1B4`v2+NtH$r8ED{z94iV%u{kfRm9QbZL7J->%TI+HB z^jOw274+kpQ{F2$ z+xnC*fxjfE`By%ylAY&g^`}*x3Hyz_v)l%jH-bZ*I4X!ub$3`}FLtIP4t9 zBWtM-VyGwY;%T*r&PD!V%I(2fi;TeC2I)IqZhy#{t$mX?DEA8hEuNV~HW+7nSvwJ(+Kj&k*coJum(h z26@qm32!INHIT{Lc=~4<3_zir;kwq@exF7MNPs1F2qWJ#h6$bCF5&G8TG>qS7vh5ga=)O~i+corwkxE~< z(t{tkobai!ZIj2h{>P5YT5@_$l7K^r`+Xl2q8Q`8M<;SAJMLoNVwqr(V zdIkF`-swGHqKzG1_>vij9gxnAh zNF34m821YJ;*^n4UyK%;7s{Gbv!w|3pzcxV>^V2v#e8rQdj-TXWM z^SwhA`an+@wcIszVB>zQDURhIHt7-iR-c!>pOTHf+e6DYxgFqvzaVp~>ahJI{z}3i$3!a&2}j z#sA;jqnB<2c_hW|TF>etlYtAIE>y;QdlR`)o4HNBl{1 z6WVw+kkE&Naq@#vCFXpMzN+C`e+u$Wna(!S3jvQo=#ZSs=1kytoH|DN(m&bH$C})A z(`36b@`K!ZY0KW*68fYp9|)UsYJz;(^ZtG7iM%Xzw!APp8~elm^;LsrvNLA0w^db<+XpG%sZu$R>UUsG05pzrDy;7B6Oq}AQS^4Pym!=ITAz>TObZ6kjb z5x?`)cnOWPK@aonI3+8iPpD_wuq9c4F?dIuAM!Gnug3my3{w~97{E?bmN7J=Zz2AW zE|hz_TMy@-`p)}I?rZ3WF=0Nh{x;Zg@xgU3V>Ez+@h)7;mvRVsb`rnN8~;S`=0%n) z{LFs<{Y?ZE&7R&1gkQzeQ&q58{=apI5_=~7+Ik3aPH3-%nm*2Phmza+%|X!n%m=+) zPG{hsP!`vA{n$t7OWpsApZt(*hgcKIkvGk}e__3|>8|Bryl09^YKQ1i^y{Qr(-wEX z17AUiXZDeJKKKZ;z7~4Ro&XP&&;N9L#vgdz)XR&FX1T~eNC)lW>mk^k+D?71$w=VC z%AO~-2;YPq;QZ;&Tl1072XTp3{NRfa{C}i;ut+ZSBGWLCKRzCLUfE}@#a`Cvt3CDM z(NNKf3;6!F*8+vcz>i!1McwCl#@6es5#^q>PW*S--{-oxGu8VN@LXQbwAs5en0quY zGnVtM9M2;*LOXcs9qKeW2A+JPRwG`Zh2LH~c@_L5u{{o5^FzRosbZ%ee@KFykG^D2V8T{LIh2A<@AX6F2)}{eC&_U*}sqW!0u~{J-Y)FC4MZlTvf%6@xre zvEQ@+-q%LJ|H}nUG&6z_4~*sP@{-Gg{3=df8x8%*#Vr1uQUj=oEQeB^S!H_}49C|(<~@wy6lAGG$oHAlhqg5*XvtQJet#* zfd6k)IC0Ptylrt2>VvW>JRi9$g8zXQ>JvBv{;F8I0UuCwRNz{vPMC*se&XCUGvs@y z?@zQnz74-cN@`Tl*9d;6WJ`|2xnsZusnu7m_j_Y*!a%gI+L|qxn>#=3vH$!_wmxCa z{gMBDY(HTRabD86@h$kBz5O4$?!5+%#JMhm^;j2nLwq%FMx`9$H@NV`2w`;Pc%%5hDg-3an-wE)y=ufhR0_UKYxwfy@y1WwhTHaj9ASWJuv18@KDIU%WB7J5slyX0DWUtSOO3p};HPZLf;ZwSP+b#fxU zW6fTCs=uHSc8+&bainxP@NY?@oB`E4$ZK+{mGfw<%4M$wU82wI4z`3GEj=h&zr>ln zmMMuAIJO({8^=(^XO&W%Gb#5$h5h$&ztW~}8Qo08@nQ~jOhIk%5V%&Dx12zq6jpCy zp4pBjLVr`u>8y2~;0w|gtc;)}0N0V&knlz6lP~-C^SNsl^KQcZ^Z4D4_UIzahtmt% zc&{1v%VFL4tCj)1AZ)E?r{;>hR*A45Km6VCH(#+ zig`!l_cZnyO%vumZO(~m*b8|OtULcOZRV6`z=IEB6D zJH)Dp$;J2S-};71--JMZJ||c8k=ggd8qxT9{MsAjcSLwsY%$9RzC$T~<38Vl{0{Hm zt}n|~!K3Cq-sbH<=w~KfUQPS;67^%;ehER&BhW{@{tNVFYV7_Sk9e*49-s%lu~g5l zH&^$e{-IB0?8wSzz)vMjQyU76fmbpdmvcNNyD)rN87Lv-{7X(cOe>YN3ylxL}T38q*5C8<)s7jg6Uvx}*dT*KNb77a53nuM*%ajx7Zv$Av}LZ7_^@>C`d-jASA(%+6}h-+z{HPtWV*>N?io7zxYr;7J6 z-@l?FAq4ysk*m&C-P?f!bcOLcyQ%??C6|@|H9E}p4_VWOy90{}czxZ*T+R92=wmtB z+w=AFYuHWk;A6uiPRu71;4uz5!3ms%`bB>(LXHV}`y_Ti2KBeBas3;!JJX>jN2WMb ze7gw!#5UG;Ux^FD{_Q9Pfqqefp7n3QEjyYa6|#mk=^N3ql zynX_DaF%uX@`?@ML(xmNmpRDd{s(?NcOV-R`cS$aGBmgfJb+`2vG~JsLVeWcvbGfq zkq_e#cV1+a06QrpJM;cAe>wYlEvf-J-yXB|8mntsljY)x_?D!yHZM{d_3eB@ft&j$ zf%}f-*O^DX0B%RmKlk~17H~AmhuZc?I{IC4w|!7rREB&5XW!S9Xz-|60|tk~!kxj3 z7^}9Zl;1>{GrjYg!3Gn;e2=|P^4wk6dXzPH{?vzNJzvQ8kNwYnaNzUigYFMw{lW7W z8K8YNI(vb=7FLK^;PM_g4}Vat2)`5h56tj=4oV}`CsC(ANZ55DUghNN+mRxT`h6aw zb@cE8HZIPZ{-9ZOdM*5{N!Q!*G9us&kcwmbc0~i%63m_mzB�nS}o2F1jhY0eX+&IPXZ7BJ}T>Wh|1}fV__SS*tM16hhsVo|NUs zOz2_d)yz+v(*(To^iCC3W%O|nS~Q!MW{c}l4}DzxPyp{;;mYLEbw_cI#l1M#6 zq$})vbfnV~`)JMbPt=yjzVVJN4kAPDndhfsmZ^c?rIfD!cUeC8)gok5{W>+ov1A5U zx%mRDRf{GMWgG#XJ^dnsI%0?WQ|6}Tr%EAT#5ujUmSYF(22em7Ph&`S z1no4&u82d<_R8(`G+&j+7>q-V%nLjNP_)urBbd*z+rf9 z-P)gK6o&VEJoQxhQSh;ZmVdtJ$&LI3|Jd-pK0;lq=-yn0-Yo7<+2`LOp&9T%#KM1j zt~v&sSB)uj_J<(s0wr|G5f*{3N(p|@cY7i919QORu80Tn5zN-f^lo3aellT{)UoPS z5g#%*oEw*~WaG%J`SzL=r3u(Aj_tR%y>KJg<&&3G)JL)3a?2LWNqsP3uN6IC4dw}8 zKIhaytttOr($q@{L_inwH;3cpm+K6IW@LrgBLm+dF+EB33=m* z+Vtcnf8k%uSe}2?xE6iNW)9bDkA}k^ALCqTywex;l|#=?a1;Ba2~{jvyXgk%QAEyC z%04V=Vy~&icfHp+p-xX&LFjN^6VC0R;Z@ewhv22kR&vcSvm9~1y=ey%+~Cjg72VCs zTE@0ZCZabl&MD0!9^k9gl%Nd~_#PK8M^fZaPtw2i=sJ@U;FYtB)@ay%hMpd}WMxbH z0sMbJr+IH(C+af>EsQ%W+`vN}+_~$d_yN=l@a&Cf>L$#`=HI%hkGUVX+Vs<hK!2sb@0uLeL%-T-VF!oyTh|cjk0$+uPT>o*qCH8Bs-6lBr30v>7 zx;#0%7Vem1ue;Z)?>y!WJ0{R(V!zA>eXaWyUdvV=fnP(pZLsBd57vD9M52c_5&Ft+ zD%fBw%hrReJ}03Gmsow<#7xy%VE5;HI{tn&hn*x3WIid=fImN*bfSCBW7OTv^4Je7y$0Uzq@$gf zVJG6hshs7jABtff`mmJOBNroFZ{W)(o!mOMKg;Uf)$1DZ75$=TdfOj!ML_Qhi3t^Z zMdSPmx=AnN-wQl|DN?HuupM&~W^7izwJAfqI-)%uUtCy<{g7XkyxWK{m(GIT_fHh^ zFE}H=rHllenA2VM`;iTJ{&BApHP5VZ-nfOn$FFHXf3)E@1$S)LW6nmGpM~u;b>x3Y zwG)?`yx9;++z&$yl zNnL$p33`VjIqU87hR{z`ul_8p1bKf2 z$p_ii0=T|X;a3wkXXL5*I!-;yn&H*e)`a~F4Bc@X{of(!wrA7!oQTA zU8vW$5&j#cI{zM5KF%e>NiVf39Q#A&ysG{+6u5~1kAKrHHSj*k8}_+=asduWlcO*G zql7*y3O~C->qT*H71JnHBFcDPp3$4NvzovKWMjL%uaTgaWv}_J zQiPPVkq_aH;P|0lPhk1<7{7F!owGYJah&AM};9abh8V4*D8R&iVQ4 zmL=fxM{)0D{~=Ey`Q&^M&m+PdE8EvIt+$XbQo29dN@>A<@kWm+yd=y!Wdu{5KAu26 zMTztE{u0K!|K>-`UfsEo3fxD^dHatIRyYR=sTaxR+rZC|*xz~}(HnZ3`DXO${1L># zj1ymq7M6nlFWDVgbtVpaouW@0d@qoKeWI*(w$n#kC1QB}^Q;K;ggoWE;hnqKCvxra z96t))BT2GEFgga$&AeCidwUuD`}x2-M+eF9HzbxEIlN*Ep?#81|0w1Kn*?f;1 zVGdM*mMeKDp^v_SqgUvkRQ8(wL3=hk&l=a;GeGXw)W-j9)8PGQiTqCgt?tmSpQx`E z+3C_Nm&(>-tZ`L?O=~0w{e0B&1$@d7*GgpXnBGc3zJ#WE?UI%T;(lgee%FlzoGY#h z`y`JU=t=t0lkoiNZtED zm@BH%_4=bSj0cX7SfXRiF#hMr|MN}cxH4m-o`6hu?A11`Wh(rDjp51xqh zyJ7k!9pF?91FL|GHTZvt<{2I?NA!#0IsS8BRSo<@nGWG{W+VJxp#yc9ivw_e=!u~p ztv-MUDld)lJs)X{gM=4p80VRE`gzZjXMJ>%H0>`Ur8h?z?|J63?gpq}KCs zGjLmK;mvE&HJFzn_pNZxJ`#8t6dG@i`9VwE|JhS#10UgY()BBH{*l-Z@jc<@eNi|c zyfGndLILozsP$1se8n)33b7Ck-sOLkk1l6bA!)tmFEEGSMsZ)@=9B_nGEF4j@eL>Y{IjN#V&A^3 zhM!0?7+Lb_0^$9P{fjBs)Q8V$oqM{=;g?ERK5H|LgkMR!`(aqg3-U-cU2-nXBA2}; zGspr`9oR2f%|EXm_#!@{7x?CD^x=H)RbMXhW5Ui!K5#W^Yy{pUS!XbGnhWx!XuO`s z{oKF**b(VX<{JH~1fFZ@6TK5v;6;)pVmFS^fNKb^tNkss5qeNkgJffC3j4-=$`za;8!Rl?u>fz1U%Pai3P#e zcwwhy7wRmRwYz}d3+6?7hd?eF(@NZphmcnna7z}?voB?@MQ$7oGE{<|r=&2|mCAt+ zE17uKxD|kJqEi2sb(R9Y5!Vlsw!W8ydZS-|<60)MA0j^*H2T}wdY(0LeX2M48=;TI zhBK^%8R$nu3%k+3;ynCg{i8eX&{u@shOF2@c;|up7)7*K4}F!CxY2uRo>7ga7AhsCfK2A9aw^8)Ag#8{y{( zr2QIW961Xf47T_O(J&%v>@n`F6*1wZ+H<(-C7pVNbrGNeiVa}T42?^)F zsNWLeTKq?S+kfWjnox>XuQs^~|6Xt@k7ZLDHwk^uX*?;9M%Mu! zkBJ`+Z%eIraK9{nDf%8gd>_>65Y4*0^i3x4%6*o?!Kc zSq@rF0+*qVmHJ)|#_whH{1VH22>rYizH_Dg!~OBPct!6#f|~H^+K^VZRvf7I~i1C-gU7@p8SR7du{HP0~`nHNQYUiAzT~@Z>+>TH?=D z!)IOKM{sXh=__lMzrau1XZ zeuI7$tp91)^cnG-*nxBNxti$nKXcDy{k$M>QyDKAx43--K31zG-}(r|7i5{*3zZ99=9oK1=}Rxub|zNc!*PReag!lr{F}#M;+}@W(`{xoQt(3H+#!=2TBUoFf7I zx`G5{QQY6vy4` zxEMHz(yP+HXM}+x@ukLDdp5!@N-X?3^xGS9D1B~n-Zp}em;W;M)Vl$EB`#`Ioj?j3 z_h8M57`xqh;fwp1R1(~M5^_P$J^yNcJMUTY#T(NceP$dz7=UHy9@+SVdHaZX)3EtIR5@S0hfPQ@&l@ zx0%qNhZ?+3mmB^tMR!pXBNhIFa{c`mMdjJp$474Wxzlm3$hPtA6${vX30Q+4s(vZC zfZs0NV7Bc+5Bji3tV~TX6+s*;Va6Z#>a#KX_v7AGjG~W(Ihh|9{LAFk#{In8;4$3_ ze_X`)o%Nm;)DzP@IaWQ0C-mptW$}Z{1OA>g<9o%#eb^D@sJkf%e^CD|bLC{+PSv~Y zwbDtKYyFR!@ZR5RzKp0WXMfIB%YS?kVLmj!yOf)0C+du5{T?5=CW(62=_mnuc{AcS zC9UV_X8Uo!)X%>S*4QBKme_pQy5%!)CW(Zf`QO?gCuB;+HNl1p*uVNKw<{Nt*`JGX zTsnDT6gZyvrJTIERJv@@FY?vZ`l4=BsQ-hXXcTz0oDaU=)i}kr3#_Rp zH!14D1pIbw{rQGR=tnB|fv4<28*n)ZtuRlnb%eg|hSJ6g#>n50#$NS{e}ex>6`0aZ zP(yu+z%qjr{~=so{Jz`gmDcbN$7ddSb5}u+O367C9Lj{;@CooC^y_`~ltU{NxG2@Ff+qL^`4O6VR>r1$+XYt_rt(1m}=Q!p0x+X8%h z$&Mqc2_x`Flq>(9_nL-%r8cQny7&?LQ%;_BKD`_LipFkx3hU^@pW^6LHM~r~b)=%? zq`tpIpE+^GliK&E5!Z<~rZucA25zMynlGC}M*c+Lxz?J-T%2>-@mF_>wcyW?or`?C zm4S1J|DAZcIRf?bBFh65tca9rCh%zra*6~W7o77X@)XE-)+c1@TU!N2Ut>4|qi zo|z}1W`r(*xLImtX>Ghaa2S4pz!kq|@&ELN=F^)m67m67_V(KkgO@s_u<2vmt~uQQ zuOnWOa;V4QzBKKw`jybHjFn=m5)8Rj;@Z{Ldllz^k978hSUh;U^C=Fxs$n>Xlm@RQ z8&?2V;q;!VCGAK2MqR=C(CRkZ4zng!L@%&1LVeAoYPDer3w;*m9ke3(SHf?Zj`-49 zoPvH^qpQvxQ20#X4fraU)kGpb6ZBs}dAc4v09j_`QX6x`zvTIfe^d?FP4fOJJ5OHl zvS+NUgB)XU&LlbxkQEmL*Wx_Uvh~$A!kp3_kAv&JBTp^!laxA`k9@}X7w^j)(x`V} zTn?AN^omgD`r-4=@wMnvI26tCWQ{Wi{=Y_aU(hr7mvffQM*CuZ>9Mkf?cIe%J;P#0nR*B>U<-d2YN`Z;8@SuM)>D68%EpetKel*+lxXMz4r(_j4etuaMi0JY23;j|4QJ|j8$@iYJzrXF58_rVi>7IUKJ;Hn#h zdhq3wX|zMIqs;5_&$9l7L4GFuse_8>Lo#FY#LpxgydbUzzVl&s5l`?kBVOD$O~v!- zjImsF!1Ivt^R0jU&jkBBGyTJYhrlCP{%h@OSMapEzFB+6WrL5!@zvrW?{egG_!|Cg zDQOgi{4Bc^5$1>glRNsu;N@P#OO(<)LCuwf{%n0$2kw+WUN|g1@*k7}ULZzaAwoXw z%f6rXuO@@f3H5xGTj_>1);@Ti&36jVngeHMO8V~?sfT=XCJGVaWXZ42vYf#8sWnwPj#JNokXp4O@^*^*RTmF1!9(WSSV?Z%1b>ZZ)xCMM z7my3anbXy>PuOuTYhYj6pTW-rTq!UnHtjd;gm{nluH6>kH_+CX{~WGJV6V9~OC)8# zf+r_<&^ppb3Uz2?6?c38AmGW86JKQ1+~EHTN*{jI{sR2?ksqeMg)hMm;;z!(r@jk% zL3$VIcf11IpJYv+w*S6R zrQCyWX|}ym1o!SS5ZfS-Gnd^&SJBB}xkjeQ;z>mpxhQN2vQX5V`Sh2k>t} zj_V8V&OrV}SDa=R6Z#J@UiwBXU4iRywPjW0Ji>lR*-!12TnFBP)XNL2`Paek6fft> z_t=AeTIADq-UkGrr>GQPnT0)&2hlrAmwPQE_(do6l8n^QS5a8}-@2XvP$I z&yoCq;HP!&`IdQ*Fn{v&tCgSmq2Ks7Jmz1#4DkkK!)+C5VdP_lxExE|6ks<6-_NCt zo8fxGYM(T|=pz228H_LNt0TVBcHz5;6o*pwT2A{@{yQ%Cv*PW(+H`+IT0WDyp=}@?^QDRvBtY~xF4q4rNQV#_@B~Cu0&t?$lf>BxVo!%rZnO* z6_qvD1LL8$rT@mfHTNUv!A0%q>ox+1kPRx$*rbQPD)Yge>ymSf@%gMfr7))PoDYTXOZ~Q^Gv&SKk9)MFO|t*fB9_ zqX)amIK%y0!3V7xONMT#{_xN)Dey zye00vDuc@kxCcqvRwN-7c0yuN)8WPl$SY%*v(Y0E@droHk~3|>z*S@p_c)4O1%57f z{$S9taq#n$-9kD(EW-6E6R&?Bx5xdcN^EZ(p!ni>-(Rg6z-m=g!OK6DV~Vfbff_n3X z9%QWY=XGDA?_a04@Z}ZWz)|QDVJG)*#QzD%4M)$pBVR@j(7$xe2RI6CN&5bEPw~EF zq5`cs))4fP!8zkcLBO5FwcoCLmkR$`#%Q7|&67ue|W2U_akl&C@%3^i%BOfUk=$B#VK-k}4=j;z@z$K+$ zh4XzX2hJ<;T`uPGQRpk`(~FBPM-%!^Sr}Dt{siBSd|_3AKo#`9{AcBOvMvFq%4w17 zmo#Co8RXcZ_|}WKpAX%(!ezJ~_oE>b!*t*=j8VRQM!I-@z6cw^4=&KpypGj%S`Ek- z@vS-5`Nk|D?;i*68LPBW%kWU zZ24lfWL`Obh6`~z@9bK-IpPV{e8$Luqt0wQz#4rpv6uWFc73=fUo4!AIDJ^;?_=wp zmAK!L?EQJ>z;R^UV@Zc6p_e(`PF7e5VSdQG$#$y+x6wa#>Xrd_a2xs|j9>m58Wc&u zZ9HGLr3=DerO$7xXm5l6PVLS5(ia1NvM-Yq@*)NOJ@H@G378~5ULFhYk+QqUW>muIo5~RkyMZAo#xc8{xLt$5Qt)FbiEYcbM}z^|A&Fxme-6nxf+;bjl576NY? z|I~1%@;)KYAQC5$|BRsTDn1%-iUN+yabO{j@=@SNTwGEgJ4yfT_d7K=7JI@3ahLS; z`IFxZ(T9X%zgS$#55%d|(Da(@zp#H4Use%yJMw0-YGXBA_tDQq=DB<0Wh3;fo$`uP zEdGgeEg?`9GOSOSAGqaSaH%dKzBso;*XK6g!`%4~Qhw3!cf?AX2g}bA=J`2H99gZ0 zI>bJoukHMidg#7H?_Z zFVR@BYCW=SX5$vqSg}o`>??Jn_N*(0>1SzXfYDR#Olk%G?(=-ueaoi-fhU#<`ja z{bs{GM|*f+mpNx6kDoUs^zZ%I=cZQxd8Mqr?7AZmdSbr!;%U=cz~7~VXIw70JK}ym z?f-qu5$B$)!f~fg${5d^IC{T*9r!UaS*l;eLI`}C?&mu3EF)g{;DFaVc=5}&Wiv~jFI9J!vCiY+E=}VyiHKb z&ShyKo+gXmJ$dyha2%d8GQq%a((6178CfBMY-;eC6TXF`lS`N zQkltK%kIw~T<{QlHDQl$XGB%-zNyC^9kA$tUFNM%JmE8p^QyS>-<89=3Gv4JI1kQs zzzsz^EAIxWLEZ)TpN*?iBg9|-9>x45=u@RbJ$F2pLmuVHeY^5f@IHjEe71kN1o4y5 znCAT!OVl|qRF6FQ`UUunh*d|qtr^azf~)Gndq&s~{!{PDzHKG&(|GuNBqFeD4tl;1b>w>*(ZCZ3g?LNymip0eLpWCgYvi_>sKK8YF&Pe5 zP$103{O!h(x0xMBv-)PlU!J>2;I%C_d>GOQ9-x4Z)2T5VLZ9?6-tAAl(ARw5(Yn;;joS&M&j;G+zsxCPBB0k`3#)NJ2f41N%o zZ~6R_8Pr1yu|CiKde1)htX`!H#iT6gb-oATHk7B}3CN~>$bWKH8*+CxuUqg0c+cd% z%PWMpqJJ@O=eq!=I`k5!k(IXVRf63gXkVo}jr&m$F7ff(jXb`fk^5$|Mc|u}pH$g| zqTc{(zUNTDl2YI@vhm`ywD0gYr;Mx|hqQ5jN;l5F*z`D+{rLc8qhz`=@`~iE%F1->Cu7vfRU_F?rhH754!3QwSt5&QrVy%@TxBw>z~Mbv(u4&Y>T`tXpq zQYqxeS>N^BW%z@%qQRA)Gr^A&G#vEQU&}sktkJ8fVhdD&6H$_$x&QWeX0N3#uAxr) zp?+s*_vXX?+K5j?n9F_QBof$bX+_P0`)HQzHFJ2<@$n|dU+12Q_xi;r><=B=b}Sz#lI zy!+I-Q*rvXh|f9Ba4*s0Bjj5GpY;8t_ThfZc+SfRqYo%mYFATo58`1Np?}<_-mn8= zuZ8A}Cy?)*Oe2#rmx1pmSfca((kS}2)4xexbm77CjjZ;&Q!0vjddl+%L8IT`U(Rpu z^{c1`PkMe~g*NjE`qpqa@H{#Z$=-j~>_w{X0)OC4)csQ9{TJXzacZhnPdq}NKr%n8 z*6=0%Uox$WVOB`sD{AY^3m8CtdHFW2tS*7wQ=L6J_*58k+@@z%=xqOd{y%nv5i-(l z;0pW8$ZqaeGQ~ONYPIqX+lu+a-OgVhh*kr);3*1NO=<$ZE5G+=UFa~Op569m^U+ZF zzx2aZUy3r&mvK}-{(XH2aGM^}J6Erm0iToN>K&Qb3^^8@af-GG!M=zc6WXBOOz5v~ zU2VRWGyu5>QQu!=nhiN#@BO($6nrVMN7-W%-afy%Qs!aP0g(RR67$UT32Zo?H-;BrD`GEYnMP)9fTz=5A@58^%E#jgeGW07Cr ztQckf^F#eEwTe!s?*p%ZyYJn=tr67wk4K%&dqzh-hcEm`xQ8NJkC{+x8v68JL(aLg zLpfs!{nIG*<0XaZ4R{{MgfFu4z@teIA3jpIhTi6<&Zl$)>R`V$__oLRAU=_dUvgVz z0&`&J?|JO&6oP*%nsx75(^J$JGx#Xt2Y%!KWzIeveyq!uH`b_Q%1HGUZR|hG!(_G) zcAPm^6uE(lI!XGM8g;FOCfMIs86O*F5ig0feA_8tfqDe4cX4y94Dd|JN3^*b9{}Iy z(ER8v?TI-|?fX=oO)kBN=et-U*-(pkhkwmOIoCws{QZEZJu#ro)bI{jwoU}-h@T@tP)9DS1m*l$|sW!gzR zuj1aQuNEZW(i43g4I2hh*z2Yby;g;)kVmr0pS)@&a3PU}4faQrfWwY{5v8@iM?56G zlq+&`1)<;b4UPUHLLXWg`EY|^0YZG3v&k~^6mUjSva{{k?TA0b%kQ2@b_3swi>$bK zNFH^R0@OYkg<+fzTK@HAgNf*mL7kGb%2oOaZ-TMPTEsP}RIZB6h{C+_d0J5<4rNHeb4ANPZu6j-{)aIZN0 zcfNv!?Ww2bv0tikcehs%c+XY7%peP&U=VE-@B|hh8=!#MLVbc~)5>PUfIY=9wG8|7E=Ys}*ks z9_rK<^HTC&>?ckB<(8Qq?3aQBdE!Pho=;^>aiMWL^t{A?;R^R4;C!-G15;W)g! z;)J~51A5xlO4PY2R<`gyHzGsc?Ec=7nT34P)FyVX?SS6miC*bv@eT1gL;dXo{_BK% z$Di*JD;t5sG0B}agNk=NUmW1r@(EK1U_j^AosCOJP&1&N$5iYzf027 z?tzyX@CgOGYgTvra6i--p)*SUxSs0WZEvH|57>mJ)T77qS#x!Pk@P>nKe-=o zP%HZjy-H7fR`rZZ;K7cp6T6g5@b`YTC1gb-Z%$He-8yg{aUs1|V~NP!6ukHGOEr6f zaIQoT|90V9fx1G`y#4C`mcqU&?ESa)iQxP^WLVK zoBUVRAz#8nW6fSq0S-8x!>7Bf0{nj-|G9z6r3Aj2oddNf7yKM4{);DWUO{|0yFw>4 z>^b5e-gvL^ST)3>98HV6CNJeePBj)ttdD>l<%(Ya-L--+&riSBU;btYdo8$0c*GI? zn^^yR$DRk;!=ENsOI2vUz`2&I2`$?}n8z&{y@2QSM?zmb4RVyHAb7BXA1{;dDu6dj z<8V0~C64%5fZ@K1dE6XX6a?h~!qTx+hQIKT9pYzQ&^j`9KEsd0oqH=vCRE0E*atrIoYU>B~8GYsi!M!JuVXFMRGs6CjSL?OC)@5ndxIf|K5^=gP#a07 zCA|I_Qz!}?N#w6>aDxoH4v{re*6I{G$>y`N#$A!t2_u?Tygt={MquizT%I^EdzO zioIstgZOPO|N4cuRnXsZll|G}gW$JN)A!^AN<;oAvr#7&o!#@Fctqq~OLgN@;CqrH zu)U(CHbLEeW@&uRMVP*)A`bn)_IkHbGZ<9R+N|1uDU zol-x2?fSc)&`XLLb0PM!kXveDoIRxx^Ht`pL=3h~L+_BTUtIDm9lTx2p0{iFTM=+P zJ?erNv8WRpU)N}TQ4M@~%DyYw%dCKN$qFy?{x)X}Ia%kE>G~OXw!~)g(4~EtKRv(x z%O=AT*lne6t&~YV01CvY-pNv`QL zXHeHRx{JYYSVPFKTrYgi<4KsaY_s9gCT{3O^8M$xc~2lt7u~~rxb1&l$NyWau#_I| zyMTO{%%x3Eldj<3)13@#>M~I;!5!AdX>c8RMf$-FuIr+J%L#W#KXSf~_bsh#>M&q~ zxLsuFj~%8=LciR&h`}aV)T2-azH6n0L9YtdyOCC>BYxu(pZRDMg86>)m*-<7?AiOr z8sOU&6*z-DsrU=}zZ<_%A1-~dbL$Uz!a26v`{c|o_p!x(?70^7rW~nRA)5xhD3M$<_E?p`XQaz+lvs&+ zC((8O1xC%tXY#7Q4wnjs9hQ*b7nk3T^Uko96n*{&@0VP7{*7l0^p(uqL4_kjs3%c! zc;ZpgLx{gtJS_a!i|^CLJr1`76L|8Mjf@NFg#J{E!bTrfz)mtb54x58f*&QBIxBZ{ zFX9R2=j}!*OLHMV*XvCxN8zvY(R5>|n(#Zsr(|^FWAT2J3$7V4webGwm)tV%E8_j~ zlc^b>L}GEj3&=fc%YbWfj8UnpO9}l(40958e@0$h*!ZxHz7nCIp-zGBs_Upjl&O)r z-E|)L3N0w3Bs2s#n4tYV)4LlXk4h$wX_*Y*E8?MCJf*5H{yU#tGv~#DSl9(YGtu0Z z9z3V$p`v?T#&~ah+*`j|S`z%j6K7Hy%Mpii{*E|WyAJ1G;O5qtEkUSzo0C{M_A7^g zqu3s(tx-ll%OUTQbKd>%uaqdFUMg0Ez8T*I794$o{!bl2hn+kdQ?Sn;Wwl~g!T+bP zG#1KjhTL<|%5snVgukP_b#7>94{#ZYbY-iKC4~A49bc=KPQ)j}n%B}cT|`_cULAdt z6bZY;yU*j{@;}H=3?=zyym(Hu)mu6UP6)wUEN+?@dp2@Vrx$_0)Jgzl3?f{R$S&xhPe4pXn9&4gBX0iYMNO z+-mL+y3`?S&0cfGjqWTGLtnRc3eP@w~s)lGP8uf0I7;<<{oos3Q}8Xa3;l0?dsX zJLmp>r8%K~Um`H{Zyx*kSpD5n2BWFyJ2Kj_`rNi-@VCUHx0H0)0cW978%`X~Cd`)` z*&h+(4IEL5(b(k}&W=A=BZ0q?RhCrY`#EAy+>a6B2WHQh`yk>mfsMzh^fbg%in1LQ z-(M5@8zqM}kM0A`DZZ?6mDf}lt~WL}wxI^`C-=sBnT*@$Z#LLbQpa-_JZDvJ>-sOD z_^``>8z?sM0;%)96LmeP*RJU!48~h5<#*igiegvLrs!np*H_XH6<@{_`Pzb!A zW5c34f!)w2q?MgX8@LF#*WHa@`JY3{m3Ll6Ac=~HTnOAms-L|HD|cPxd_H^#bP z(>ND!KB+aQeFA==j#M&eCuu$o@sPp+DGAzh@CF3GWc!X>MtmwkQ*=L*48L_I@#%)~ z+lY6R)GxU)1s&OI{-4u7el$Yf$X}1djNAgAB6sA?lEp-v)H&|7`7P9=h#hhMWVhG{ z|EHc3SFQ*<%m1x6T2QebAt(Wjp0$(R;)!Hos=4tw&E4!P`teOx2{4Md#$MZb8sUE{5$Ed;VYA> zq34u(%dDRZA+N@K!+)Vq5qK>rclEw=Z_&qjQa0ZJra)Q0Mg1E7PbR7>nEQX!+W*=W zllCI5N#r9W!lKg1ZLlK>qX(KY2y>exWz|etmSDf6ycf#HYm?b)y3GBO05bd&iRwoN z_POBg%H>P=4BMbDqWGsD@76xX`w$$Z{MdN|@t>skbG;)p;Aryej0P;#u^&QVO;Bhk&Zackr1UY3csqay60`4YmAeij13-j8h_(}Q_ROltSnj4=*NQh4v zFCGuOtOie4c*(*$ze@@IjJi7_pJ*aJ6Q3zvt^5?{T)NG#!ax`PI8AR`e4PsXL-}uG z2?poE6Q{}StQN@8!RNyw)NB3?*x%-VKS_@<&v0%;FQwcE__z1~@60;F++l`YtI>uH zg!vS=H>L1>g}+QYp*-l24c@Ad%1Yjxi;!nI+T!(-+d|lD3WIM|H}o)T-0Q`J&l|+U z(z^d#jrO3giP$$0l?(E~A0!Nmzg;_ocwS(ams@r=0oQQL{A%?G{_(tLf<$pTl3eRZn^BWk}+vjk2Ya`+pils zoU8GD4Y~RFdmQL%plrqXw{;D8a&2W#owPR+>OG61zJHsCTv0-|m)`Cs*cqKoFILOI z|DB82pfNz0XCM_5JaM8F^~&_X4eQB`z#qx;H;3p|z#Yh`D=m|R5HAVW%0)J~0r!yA zOPW$$qlx>yzBm48AaDq!Ctk;v#-Pq>UM#jMJ_B`?QcBrw!s`fjIgnG1UID$XDiC~9 zg$lbaR)4SI?A0drTH=+gz_B#w8IFq5_rV767ih-ZIXmN!CsQ`@-x$rpIi#*%7$K|- z96*{+ziLhzd2iB%Sm(ONRQ8&;%t|olCFFxASxNm_6YRR6^T*_WqUe`3WaPa^HW+;} zR7q{0g?^#Wr_%WW>l<>AYkIbNZf7{^3CMd&FTMK!97Vx%PT9#0=R!tCQRJ={^qPdH zg4ps?_`QtPcizH}==UVXm+O%IgwVfsAN3@EJoFfid^e@(2Y3$x56|6<=Ys#wrJr?S z7YXl2UTEF3!{Ojt@%XuhJQIZ9CBJjQT<8S+3d*S`!FEl+Ik@DLBAtC;mzAIQCSARc zJT8N`EaHhi{4y2Y4P)MqfO@B2%RgTF^P_)j?hG~!R1 z4k=Bn06cb5%rffI?a))ww=|bdj_d?6@{}LSa4y(Vx?s8^bHse+z^jW%H zG;(Sg>>i)6oV&yf^tM1=ld9fU)Fn>5{Bz}A7;qJV8s(ionc!&%46IJAJ_5Zg8T#sT zqc`4LIB{CzIO_iu65Mt5hTtc53ANDN)A0WbJSu`tyafIrwmp9I4Hx_# zxs*A_-`t2-6=&2gUpS0@A$&h(HkL_4{|TQanF-|pU!We>J^NP?et?Yk$GGK(p!a1Q zLJl?NpkFiHU8*49Jd?dv+G2HF=_BGDQIDF~^0^C;$5o~a3)T_(^n9NMI#Mo5og4iDw3`y*W(~3>av*h}eSOFupF z$9tv}n)7omK=`=n(oEs4cU2^$~hseo)coy&NGP6yq4OE`a|lFg6~g z$VZqDX>>xZWIgl_^|>mK;lFbBnl`IS8PW8`x;S0iHH$E3YOQ{LyFB!iOq?{eG!A&D zLeJxWd3?A(&RqGzaftKc&un87jXDTu**Sqs!6l;6Y2p z|EUU}1I|D@QRBw*3pgqLGo2i{8MvB=b8gQ%SJ-)_^?h^;58yI_ywq(Q7lc8cYR4aj z@rq$~?1IFC=W1;?V3!55XfC&k zkmpuyN$gF&gFdFR(Z&7S2y?Kxv)bhIKO%mS=reEh^d|6PO;l!-)Dhn??>rP)u?2RP zDW`WuYz_2@()_Ah-^qk{^mhaQm2bX~uPyrn%=Mrb#i|5D51&K+LU!xaq`nDw|6Hf* zT8=!s$X+YhtFF%7N!V|)zqXgTJf2s)sD$?f;wL4(#W8QYP|qZ5N&DT+gLscw`7uQ5 z6mUL;dIwJ3biy31gq`mD4W3HhyJdFy47 z7Z8-QRgE(Sk3_hzRHv*Cd363QaVFPRg8w?Nmk~%eMEobTAPpLkZ0xX$>#s_f~^Nw(;t=OH*-Vp^smj*|MU#|Mv9!5-}@7KlSlWv zhWHcqdt}X9u6?}bFZ3{3OEQB==(ogK`m)6)0M9`&%$#3@IG)w@%hBGe2Y9&X7I}_r zI^F}7RFSLl61+vKbj%%_5u6i&(ZK41O6a38wzc)=vjoH=RF*DpQhpPAO_NisUGBox z6RZyLLaM(Kp}(+Oui3XrLY>d5PivRPHtndUt-jCjfQxU@@Y9|@mZWZj{PTR57wa0Y0z_l-pT;f7fgNq zzPtDz0VhTOLtSf&f+&;o4WaM2%Ys83?|_5IQ!ZVgsDt-Tp*<5ed`HNG z7o~?dkO=cK{)&A2b`#GlX09uzWsLJ9vSoOu!r%q$*N`>2>KM)gXW*9ft;=v;xYupa zmAsAq5uy)wd@po@-Qd*`oGtA}{)={Cwdkuf*gI`nw#um#2L8?YrTpTe zQ>fz`oml06F&=)0jAsDnsvN>xwKOd;CkcX{$+X+))Qa;zm}zb->_M0lx2Nj8XDsS* zW}f72E)N5*L%}S`NP7zTO3}gaU*``XUod)&Ve?b|F7{K}ATKG#5&PG4Zihz!&O3!O zKuJ0lc9PmCuN%V)TvjNBmu_N2;EBKgv|x)H;urpz0;|gfz(*Kw6%)A%fn!V5yb@HN zOJT3M3_i}XR)L>LnoK!a^PMfftfA@+UEJfyKS|~sU9xx+p^pwRqY5%P0BWp@UD5c>8=L`Q`7!VdB7cd8C~fH`ENOAgK|)`4fw5w$$=$W8R^ zoWCPl(IEzTBJVLcHdDdG|B?P~H~vnTV}1OUeo_SZqmw84^E>$c|I62kkPz4@gLpz* z^jwN|K5!w)J1mtSv4lBJ&-Mp<^+Rq%!gSV;>47gJ%W=JItuf@9rcCx|KM4Mk^uj=& z4ky?pN+_RmrU&Fe%EZTx+X4Q70&jNB{8sSzD7@3HI&#=2x*o~wq6XxQb|lz1ln#GT z@YAY;cUd^c)OhOrlzlGtaq%mm953_-6A5NYnYRL0Ae;TN%xs4LCEgdM5^=5&xkXV!u;weR8|3(pA zZWH{G@iu@HVFXMY+0Q^~MW!IKy3gR6~Lc=g+7ig681f0###`V(6lPN2ZzfcfquH3O4 z@d)MH>ugFJp&n}ChxR+$P;Wuf8~fAK0=-51bnc?c8}KkmZ;#*I$^~8p`SklP>LOqE zTC#rd`-&xG_F962u4i%{@*ue7cbe60--|aDmBsAf9jXF`tC8QxF09G zwMB1GUp>{|seDfe@1Os+uYnp1cADY5##@R9ejfcsdHCom@N`5@JZI(J9$>HKHmu!U zr-ti^dMdsDr3@TSCOkGf#vgh5@$b5)qSOg$UpLhA6xwJ1N;if^vHU*s08*}-u2$E#FOA- z$y`#}xVFEPy%x&)>r*g+cupc%fBL~9=tGV^*;JRyz*V_^p55qi0DLv3X@lo`PvBTW zdADzW*#vzkc)%fOQ6T(AO1P~S%LMW%W4hwCZa5SBbCJB=OPf$9@MMFvOD=fAQd?#N zTj;>ugyWJN&+J0JSop%Lz`umK4K$lSPkNHzXNao0US8~<_a8eVdT~@Z=Kd%IhdKvUX#A2p1q?@=wl(aBmGk|{C7_Kk2M|yUMa1|L0jNDq2JRo5_w9V zF#qCr{0q%g!ajEP?mKuGd=(yzk4a;?Z2X@!`g4B;$9?djX1)9$&&VV1Mzw1+aQ*=~ zA#a!y`I-p-Ui?_A!M$k${w`h{>=Fq7T_W~awi=xfpJ=sR6wHENr>>S>wgmn9O&Hg= zKL4afz>zdGKYYIfxs$pzN=mmN^tBUXp8q}rJ;xK&MLT{NcrA5gYj-}CP$y+{ENgE& z&Y{5id>`lcz*iMkibdX#K;D@%>h2drc~t)1aM1JU!-Gw&~Vo^yQE$roD8X08S%2mwbxPp^3eg zQIMIpDM7x8H+}2-;`hj#&Ry!CIH(R@^~7M*kn9#h|0C0di(an)E};_kXXEN2YkYrd z>8nK-=CEH!4qS27fV_|gYDMpKvU#(tnToXz>3av*pUbaV^>$hYdWB}Q)wX^y>anIn z&ek>tz%EN_K5+RN41ZmyZ+ow06#Qe(r|)b}$HRXn|IOr4-hq6Dv~J2pseZ)&9BIw` zemua9$dl<>+qQ&Ye?5*EFL;c#_$A3Nq27pxghRJ+DxF5Z1+LV^8KXL|i!$1Nf5kNrgLC{wSM(-!9iFpXGm`mE8c-vb`5;EGRc4-SBLCd)_S&mSYqUw-jvwzC0!0EbL9n!5kMu5fvN zUw8WtVZH)=QARvLZz;O$R{QOY_aIu7Th)-#fa~+EtGtqcJUMm$P_RTO0l!`nle70b z;y}RzM|O-^a!Q_mJ;S8OwF%S(ZhS-{UYKY8G*c+LZYp$%6(i< z`Cg>-d>`;kX^EXK^W4}kk@KQ+N$HMw&#z7jR2#uAk#Bz7`EmyDhhnR+c1j+0PFm*L zg7jPHlgG4a;7sfX?jV1&nETWToHGVlexJ<)LZAKMTPZKTLCz=|Pe`}ApeH1&OjJ*e z5%_w`oaQI;kslCb9>_UahlYZ~_v88IM>irqmUa*HDwqNG`JVE1M=eiY=u zeo5O0?DjW?e=24n7~8H0d6Y}EIr?}n@`K{%bW4M;;{8dQh>IK9!4II_SARI5AI4r& z@0^G@UkAG;Jac+0|6kZKnudk;Zq7cuAM$S>{S!LaKNnid_hh_JibBoi-y5(W)I9&+ z*OQRXpckJ_&@O`>S8;FpP_&Fte`TKV@LM_jUGh%vcLg@cZ<6{1{Z_t!KQ5NmYb!wD z-O$hPwtd|Lzmh&a^1AgVA>I`U_7O5h{!6raMC>iK37`L|;N)I|c$;B$>PF~c*d=Ni z_o?UC5Wi8bJKf$80N#Pv%d)jcHGsDW*JbpkdNUy(^G>BcYLEx%dq>MsbJ%_Ls-5GeAL4tu>2Uh^N#rMK z9eW%;D--67N4{>K+m7cE`B>4e8#wWw{K$yqy9YsQaPFk`NASjk6Z(YhyqURK0RA+; z!ZPOF{on^NYBH3vxa1*6mHzW5D+%=>%YyTQLZ-pF|o7t zU3a?(_-F31`eIw;GkBx##y4`JkNo@(U$Of~(MNE=eq~9~QTV^I={}_i6@-3NPZvE9 zJUYN$3q-zeO8P^n8%nvyl1^gdSgd}|>X)XusFM;sI&DyS6M9r+)jOY+tvGia&DIrT zRyY?tX9G;Gd4cah|D%3?OaS{!9(mGm<(Vb+U;0p%WfS_33e5a$?Yjj3Sj;r)8`5#6<@NaVY$MnRfu&YAiimbi0uxlc_gK4j_aK9pn*8UDwO?V%^4X1`9aPCN_ zkFC|?aqXPIngWu9cE{4qh{_tM%g}hC8f7FD+lVK%zUlRYGz19^a`{zPu*i{iH>B&!%cX59|pRWnZfWIj)kt)1nG4i6cT@EHi?ra=})%0{%{vvy} zon?(BwE2pxfF0mD&b#C>i>*gkU2a(km1H=Bkaaw_fuXxaZ8POJ0mlLS5xK75#_4?0gVwS}*W!bRwZY#U0Kk*#nRV z!Oficsy^lGnim9LH_; z-~v}dzk-dTZ`#}7caW)TRc~h@Up5;jlJ2C*u4iFQCF>rS{0cimy|DYZ?+|z>lCl<2M$rfzao?-PZe9$!z_?8o%Y-Xm8x|pLj%k(MFCq7UER8X4}5^ z_q5q-e*X&#%SnWORbt#L_np@=OpM|PQBQ<-kabT zk({sm&Nj`(d+U5@XW_L8zjurlqMihfHJI79=w~&dzWhNaZk}k_>jIBQL9PFZ9~ux6rdfuCLEc z9K*bh9=?JT9o47@=cO(jxD!Fh3$E2{{JsNqUkZX%2YP>j=gD<-^izfpaGc3C3CDC7 zL+^>k-C6In7JW=cKfMt8et}T8=yqX!+#kd{yhGQLzFIiqe*K%T*YpznnR8^h92Il-mIp-ENe>P`&;?mFH4xTu@Z$IqKrE5wn>UQ0`5 zXl4CRc)~u1d+(_Yve&G+hu_SzZGm&ie|zV=q#At@=l7J?*L?-9N)0@B_eT)$XugA< zN6Rgdk0D!GDsV+0p5fv@wCTtZ@V+Pea=-HzLeEbQ<^R0vVZ#2t$Q#3_vSWx}7}wwb zs`zn%z2;E%eR=R4n-9hs`tGl+djq_T>B2IzOFFOvq^O>7%bT!!qP(M--8SHLFs^>4 zauNI-iBwwj8*lgxoO*5R<_nM~rVq56tFxTS8 z7TfOsAG;Pv>-z>jN20ttU!@!I206XHc8?PNk8)e^fmAZ=4tZF5rD8ntlhn^u3*Yb& z{Fh1$K}E(+(lN;BCK{^`;8(F-OCn z(2Yg#V@Z|I?F>wTGl_I;&NST(98*fuaLJEcoEOgcn4MN>1RlFj5I=C`)Nz~> z-V{5oxOX_0ihK8*r++8(O-Y`RQ#E1ZUaa{$Q-+KmIQL2qYk0&D66Wt&9`szekgEeK-ixAjk*^1E0J}^wErwy@0&0xj@bU&ggmVLTf1Lp4Z&ZR ztyv`OcoF#tO1x{((m}+DGInNi)1}~_%pT%7HX{T7g6@0czLp61B>X+=r|<4UT_N{# zuM5Ao66ZyZx$jXV^q~n1YyP2v=i@y&{b`Xq;%3>3*ueQB@ZTtV9!u@K1isbW^sPe1 z7t}-WygR$qoSLu`c+OInkIsn(Lr+RQ^Dw#n68W~-(Y76WB=DPfHPckL{4JN&imi0rQebo=_+JYl+q0Ki-Q8gM3AZ z9ljX}J1(}i_TGgg#N*=EZGB!}MZaR2sJz-g54K)o4Jzb%tWLvRw&|g7kL;HZu)j~e zWaE6O75gvmCq}w|05~Vf^H7fdI>-;TM!aU>6#CIgJ@ZyR{gluLaq#}Fc17U63Pl|= zGuH^X_9w>aO>sCsit=ANzeM1EM9w%pzL5lfnOA{B@=G?@fK0@7bYS!Y3IpEY3 zvEb}09+(?2G@_R9$pE+&pG%uB-)rPQRY+DVjT5zTy&o6f(vsxaYdQPSR&E~D)y^A5 znu&QrFY_s_`q;VxeiDcIbFa2KLLVRTlI-I9ggG5HtkPf?_>r`;p9S`F;5;k&XV0n~ zL0=x(I}2`4ohQuMlj7{S!NcA^)@(6p<*TpAUy+)B7uu|Xe&v%HrA#@)j!JFIH?ZRt z`fs1cuji{{7Zd7@hwjxC{KDrw%hZ+#Uql@rht?N8+X|dZuF7Q(LQk>n0&6nE(pALV zk^MP$yw0rES@Z`T4X#)pm%+Brtf7)Yqx@z|OI7aoFI-`u>^Y z+*tc+3hB=wZtSdo>^@hId3uA&G>S4J*W<)aW;D0H| zQzTgiHURHcd?>oVFNA$P*4UzhJ~`V6eJmbDj)va`pIzMMOj@)N=B>=6 z6>4jxvEwz?Tz7}=+8W5woIB?~gO|ty_a6VtKLEYL8sjvIzMu|0DY?F#NfKh`S6I`D zmCS&u{aEK|euz=I-s}cuSGoX zeL8!jle*t*t21zq{vsX)r3!X_gEhQta&zb<+&{g4>)%%rup@j!LbWpg zfLC)U#;R$K0EZE6PRWdB5bE32-|`J#Lf^lZLLsicU+^b|-1-lVWfJ&DAJ6<;Jl%)= ziV%7H>$?y8a~f}Nu15`UB<|Qs&FW0>c1JnmueHde;PZy6y_;?A@p;5fqe*MvjGPfW zQw3MTZYzd*I6m$s%%N>rG!v1S!2bPEnv8L{+*MrfWyY`VG@Lh1(<#}K!{F^OW>Q*1 znb2F@%Ux<+-a+38?SGrOBpLAn&(n0?8a%&=h+#xmVh7F-$BDE~NdfS?1cINEz5a!< z*Amq~%#D12Z?t--YL-l+FCx#%+&P0Z!~>i|o8t^mS+c)B{&-(fZXH{%vu2;JJ00l> zJSrKD5Qz{T22dAAL3AmAep{}rjw+4swuwyg*W+XJ3a zyPEuHK{dYL`9oDxgoSyV!&|;|f9k;R2hx65T{<&@&sV(IoEHN5;E~JTe6kz*n6qg3 z>JK$SA0LO`zjGPF#mQ6yjW5P>+Xe{ z?Du9uS$gZ3M=$ciLMO?a*H3~c%5S=zrulV_y-zcz?*|%(jS&8S-HB3n!hAP<+lcZj zcpl2pJnf5Su;)sZg6UVo5f4dQ&muU9KvmegDQu5UGYte`;@8> zA8?HqI!rK8KQH?!`FwB}@PElP!{p6vY=53LoU!cIQx`J!cj!w0Q%(4PVjuZqcKiY^ zMHQBl5;#nlC)qy#NHhd}M3k;y(bus@{egm)nK8?gfV*Vu8L>D-s26@c67rW2k4eXz zePXTw9_p-(@ZqJx*|`3LWGBHy#4CcX#V3Dlf*un})7PDKNBm5E+xO@ABE(y=*K`_! zZX$kQ9I!kqYm0fHqj#m=G;RRSG+uI5Ki2yK`}=YmY$q8KsLK-@@;y4R68Q(lFXrri zGvMd62T8FS)A&9|kpBMb%L(&lS}rH^wW1ze?(@A6?K{{nh4N>s!W+S(;82>7h_wLT zp>*LPd_wudabq7R?2=;Np^S`3@KU5E{drzV>af=W zJM(K)24RO)exL42^(NFeb@D4MH3N>Tm>j*Lkq+Ek`MbxZSI6OZb8Vl83Eqhyf9tPHji^5xuF4ak_JN;C=}_Mjv>oy%RNJwzbqn-3ZNpfq z$4|sB%wGvlqjCuSxwjb1Mu`ygNmprk-(|?7(gts-HF3BfTKL}W29AhtL|+e{(_0RG zNB2#8*t`WyaBoCg0#U{T0T?PI{1_#1iz zuG5g;lF(8-HR%UjL#2pzYF#sM8tK{_pJ@kys|_Ff&^~(|c8Yr7y5|aGLLSybDqZa{ zc$&h}yvB!jviT;gK80Ylog##JmUTVb4W)2@V$m;sb({!xWBa#=W5e)Ar8?7!OUy2_gV%s!|;2xGl%vQa1)`JVmnh& z@I-|!Z|-YOCd}tJ{ivyO6XIc7!1T@tLEzRDnG^eTzd7Rbe}3CnA4z4e$=S|JSEC+< zHGb`n{K8Tl_UAlXR@nscvT+{PMA>(_*-yZEg^g<6<+pwE1+53()dw`?ycju;^qQMSJ9|#@1l>&K_Ox5LDBuwaMA+T7u zD-XDr7|px#b`Sh~a#;AUQ~dB7c_^7h+m^wvpK<@Y#u;=J;3i7B+a()y1bq03tz8(ahYk9On*{hSn6z)Jwoy?U&t2QiXjM+1PO@U>tRdO1(!Vs-)qcsZWg!MAQO@Q0Nez-p|3- zW32In6NS}>@PD*ludVN7fTzG5+v4l<9`OogWq31}6`{ZIF_XCCijXTozc0fDC*coq zl~;FND@?`pbcz;?UYcY7|AaH`FN@HpPulgPWXUqbpGwV_lh@)=Z) z@E7D01Rh||h0td*$P1D;?~GCrM7~9+`*3lm#S#4f#`T}i52JtX+}7EZQiQ&RLX;=L z(!P*SwoIs+c8GxThyE2_4tA%`qIDP-ajknl(l{Kf^FU++U`^~Qvb@Xiw?5^s) z`@?~S;1f}AY!=fyMZndrS4;~@68bLH{&93!%BvfI?@zIn9bJ11a;U0nfA!xs zZT4ES=;q9vE&QiZT4G3EJ^H^ic|(84dY_;cu-+!;}g6qZP&+!A$6R zr5ek6sU4V~F*IRk`eG0EUzW@6U#&g*(zR!qe%ZQ>$^M)ypSLHx26#B*LYimmDuSI) z%d_p;P2lB@bjqr&LLc^#Qz6DN{J_u&zDawAdM23-k~;P~;ZIXP8bvJ+CG>mXA9#D8(0`4yFk;K-LEs3I6Y@R$F~AYz zuhz$%KY9`OI~~^(y#w(I4{QHa+6BlHeb?$|TZ##NNc5hk2S&4T8rE#W!%%@T=qaB3 zkj?E<*#EK2>GZ=V@xG{6wJ#*@1}?;W<0qq|1wGEZ`B(8%D(o1!u=<9OFY0<_?!2lu zMcpZDcBfoN_5^`nbuCpwLI!>p<;0zPPU7gBshklY<|T$Y0l7^}ZECzRr+L2F*=UI? za4PZnJS)Y$qU^QstEzj4McMu~Yx-|XS~e5?>-g$gquM#KpWOBZ|MvFbymB7A;$#{J zT${i1t2h4=>@TmfxMcB9*a3R(otb@p1bxxdd+E*?a8?1IU*hR2!55Sa*?+~Vi;b_a zCicb3zT5yDP+WM|9^0RYk7(7c@BIEj-bBT(8%^r6{V>*89Q}%xEBKa-mu12)^a=UC zm2OJIHLz=3QG%+sxClHTxeHGo`h!QoJxu>GnFBwQLnBXYT$G*fVNLa2_D-*a9in{I zUSV?v=Z8yb%YD&Buq%u|l5N(jbpDfP?;mm(9Q8pRqR8jRp67kw&xpTI8GHT?JkfTu zhU(VZ3+(mGnJlfF&&t`~7jk?)eeol~UpleNZ|E=Z*^#$r<{gyr|C4Q8PmjFBbCRP6 z>sdDtH*$;^zYK^&-e~Za%F3^=;lJ=1C;vFU4RJeFUvGKDR$um7LdBO>5QK9!q;4`a zTx*Q`Ur@P`j{`Ue{g`pa93SdY`Ugec2+9)pLpudqf2-VOuX%p1Sdkos`{$Kc+L0{+ zx#4yX=qT`pUKPJdG1ULf)~l?EMR&P#Z?OF**2wyQPiya^4~5XixKAZtp+_c1-X8PY z?1TMz|7OVHAb6AHo+VjGcq_w>48=T36rLvZfq6s{$=Qdw zScB(VCp``(K#p4DBGzSrHz{$~^7Qg`;86^Y8H}seAb-JMzOehK81ypd1BDI8D!~sD z6YCf(*p2vx^Gd@^Kc%zDW}f^q7>LQfj`zB-g_~>a!6dWb!h_bfBu=SLfR)nU8MTx;fyK5T-Co#X};y) z5f7L2yi&~tE-JaQ@v-%yT*#x^E8dYpCiW-cX_z$n4zZ@r#V5QoHi5j=YyVr-kNM?& z_a2^qm>!%g!dj$C&%8y>e`H?m^;@iby%Ok7jo$a|tTj5`e_g=P? zvp2>6y<1TdUxhkqL516r3tb3vr=`lJ3;w^dt~?yd_j_Arv70fNLD^FI5GqNE2FX^6 zLX;x$L7@d{6D`^lX;o<vi@L z#|L=F4p-!Xm%>}WwrYVJY5$abs!oRz`U~{Es})zAiTNzv95=mf6?g!>qYIobXMxAk zFP3gqdW%$lTQj|(r3~MzuTOjL>3r}6=o^>3RJj5^D6Or=SmJ0S?(dUa$*!4%Kj8Ay zc3RBGK4ILiK2fIequqb`k-^b)i}j`81M#aoja_VkQ^|@%D!ysLzAqEnq9&bP;EPid z=)+pZz4(qFefTv7n5R-YSG&^h10UpYPDUnhN%aItd%kP|;ytR(val9q0$=0~`2~w^ zkw;$378%}Ty@9k(ORJMf;SA`58GCheV$pY;JHS21nr8!@KmCx8>Z}S<9p828w$vOV ze&F(3*$*D5mJ(xu>+#_oE?Ad_(|k_PtU-TZ(cAw>My>(>hITzg^6ND4dxk|Xyx8D? ze2=yM*>~rC*mraEt4PtaVfZ2Wa-WYi2Ixcmog(*mYd&xt=0@#Q4ujNh_tE8vjroWV zC(l=UP)yQ$OD{D)V_QM+j=6pDOVUbO;pgdVwd@|Y!;i?H^I1K-l!Q~Q>1Mcm0sbo% z-C`xS7Q9=9Rg*RL43PT!?)%nm`0q7*U*$`ANrPCI*b-EEZ$tDwq#vJC`Att1$J1#$ z8=_&?eT_X9ZW~E`IpTh#jd?sCn8^Z;!FJqptnd_gj7*z|86%~r^V6qf3~v|* z?^JBoEXz|Dz`q){{Uq`D2;yA@o3tE@Q^;TCij;!suE2dnxj*J-UcmLl9Nm3ZNI+jN zpK!=5vkdtoXV2^H0Rg1G8!kpPS<*TxT>SEOTPtb5i`$dAN!z1{F*Ww`Jf;Qo3M#_g z&qEDR?~o~qW#uFj>zFykT4Cv;An4G3hMo!J(E8Jyc2P!DATQ{z<=W}Gqj((3pz&Ov@JVl zS&;hT?+-42X@Yf}W9q;-{|{W)|B_orQqMIYc|v^Bk>OD^(6U${goo26Q#&u?bxcm;dv{LwO_QQ;I3ll+G^jPo!!os!axnPZ`3Ns*XFs z1E3dbzU{BWJZ2hc2+=I?U8K@88=lpX`m<`cy?R30x0D&n9{7vA?-Kb8J3&r2j1^*({IN#1vsC`xJcix zJKz~e-S2(#;wJ1+*;TF9QycX#&1b=;apAzX#oh0|t0bB{)zIbnp*7++)>!sTYPyY#*#b_-J3X{Ip@H+r`&(n5o7w?4|8ne zkgrIJsqD5KCdDuSs8N&KUg*@laIi2i@v ze#>n3@eI5VRrkdXymjD1$@#cARtJI)#oA_nTJi_#;xg1mlRKiQzp6}~n`)Sc{F*Vh z+pskfIF?vbLh2I^u1AkN9Fbyz{8!jlcgSWw@|9oNH7sW)gE&sroH(}V9=@-f^3x0- zX_EfudZ0tVDN=oyyVW`SDB>1&^Xgi=bmS*$Ba?j@=J4wpH%5GI?_z!9bhtj8UWzzX z`pOYmd9T0n5p%7sa*C}r;u*>`lZCIWQO9KEX*`VTLS0Q(=|X9;0q{BMss}p3U*H$0 z-zT!w2Eo4=eQ3I-P80gizPM}oNo%ogD(>ZQUPQdaan>=xL=gO=QpkqzP1#syG{!eq zbcK`V&B0FHTS3r=iUy6e-AKSZW0qW6srv)xAJ=FYyJ9IIjtd<*WL>!#^$>-QkDjNK z@tu@4Y8!2e5iimhN0oAyA>N@Mwvk&iKs-P9d*!r+o=(8!6xL*v&A){2LR+b_*yI~g zZ{qTqC;xf&3pf~OpljbbJ@h~2^U~#4$Dw}0YWyu0sRsO%X*9Th(N5@F>DNcw0^Na= zDC8W>HClt`)jV`w_C{e8?8+{AM|A||F)e1&q{;c{1H;H&>ZYy&J7P~UbI6S#{1ms( zo$+$Vaqv#1M9Xj4dm-;1sWW>b@b^@*QnlL~Tk!W+ z!#1rc0gl3HD6HNc1KnNs#n(P#Q%L(lQ~!0p{D9OCdGLyQeLku0sN(ZL{#xLosy+P9 zor(Cpg1lp2AQO5Sn#-%^;B~+OM9j7rZP^Y#$?6YEI7h1QFh@h0865CVWrM2 z%(LDuN9u#})GJ|6GV9P9Vrn3;q3dEViW z_gU1B6klk)Uq21~c@;Ka7ou6~!`?z9A{?@To3kozHhTs^zoPI((TV>N{7o6}*=|2G z(5F$s!mcMO89WUY<}H~qpICgK4L`F=B(dHJk6qhfaSHq~enR@i!i%K1clFKUr&Y+8 zLZ4CU-Vo!0-l7FOT^;iUbr8D?w6kZ{)jKduD^Z}cNuYt^xgLKbR$xJy!ptb4RvEU z|1B@?k{_5i!bOqYNtLAi6j^~DHgTl=L6&%x7}I-+>;EY8%>AxK)KR&^(Yn{m*8#s* zJgsW)(G9*n)1YI|8za=i)UDEY(Od$Jb!k%SUg zSU&*#LdCnYkB++H@5O=x8dI(V_fm|>FYj3hzT~(>f>T62^jB23{7*mhkk3g5d|X@} z0p0@D@$(!?B&q-16-zmL7v$$k>q~CtgdjgtR28R4d?(d~#T0hEwZghcJF`hYJ`*^m zx&kw1r6l^mhy~1RIJyM-rjc#aGF-D@uPUu#XH%~uzZdUpv9NO`^|$ahenMpfN2Kgt zu2W)!{6=|KKw!la)V;rlz1iBRf_@PbCXvx)e`qfM^YhtvW?Cb z+vN9U-^-o@-2h|AcWujI=y&8z6i3$1#(E;V>FSx?Rq(UY+m;J$amM|~>3IvC-ID?H z1`PR)^F3>F7_9&vBCJtZa^8&hmmd*w?taML7DbFj{q~<}9S07hAadf#*R`-iPNn5j zYB%`ea(mAotxHFI&hSiCe_{;2kf4*cC%XrF*8W+%rleJf#|Q0#^&ZS~gxw_MMp?G~ zB*roVOM$Z!>UdIy9bdO41Fw~s!}}7MgZ;1vUpI(+wI}d&?!fTr)_G~Tf3Z=I?6Ppo z3pv^mow{)n-@M-Doc@7eVl3YFrK6yl)L%&CZQR3Ii0@>U3Ff7R0UsAuyW#V7HuBOj zgT24`w@?RWWIbG7TLbm9erjLOuI<2IB|`1Dy>}z^iBsx+wAKuI-j8MyTLKRfxCobb zuX)LjUgG)8MejVGIXjKu0dqf(s`3^rM?GoCASXdb7VqPCe;miq1^rj+gPHL=`@!cE z9=)@{{TSkH>7`~Nt@;GdmD~Pa%Vetto>#7fIL9<(!41_N^@XuqKVtv66e4kSQ1qqO`5=yW|aiQkB*|hz~I2e z5S<$IJr$LIe@{0S@h&aHPkYi1Qr~o5d;I#x(9wxY+_99jhrO`r;(F&uI1j~id;Ol> z(8aYMbvbJMCms9W`6}}bfB2L1FA3utmWx1NBU3bs{j-k1C%6L}M-mrZCC!g#XO6VJ zChD8qah1ag^J}07642*%H9aQsF>WWTH6_FOBfj_hxCJsE;E8<6Dn6Dr2tEE_+||=N zRY>{at#*If1oRuSO5=}mS%CbJx^(LDiZONEU;8|d!X(muMlUDN+Q>rvX86e=!-81w&-mp5CPQXKeU&Sy z87}#-8SiK8iocu8KO|hux@W&;B1w0>oU_6t4t4PU!o#;DM@j3M_5qWEV(6X3PmD8) zw4qmG6j#X%F9$E7~tAs17~4>eH7;ZFZzu9-lj8uX)^3giq$t~IF|JLX#U;URp1pe z#20@tJ%jjKwdKZmWD;pVZ1ctyb#mx)&RDuOeR?3`JxZfT&*dB7?J-JbI?!&C`c76X z`gyGgc(dH25O0y^4(XCE=qxyKSpBllB#TBhkO{8QzCnh##*b z6Lu!4X1P5o0=SU$x5Sm#?yn<#hs&ydbIoyme*VjS7l2c!d&j==wSvBZq36-?wHE7+ z>TJKFszKU2Zd`KS$kAJ>o`I-#O$Tl62=; z&r+A+`WdIx^+^3;S=T>*>kCDlmEpZ_-)#=+u(aIGry5Lvs|uxc$8+Tn$1tmPgB;GH zo*})zy!(3@iO*-PUm~H8I7!StGPa@{_R3hOBkdmooJvtcw_@Wf=s-K(6dfG=iTH2w z1)T>UZAtqPDt_qvZ~^(PMt`Zy#YKpJWvlNeghwN;QJwq3|B$&1aehHjf8jd^#6kSV zfy*)K$Y1G4<&zG4M*g6pAUvKhJDcUGH%@D>l0&f zvoqDl91zEJ~uji%SqUq%Isf~ zfoFkpiOzIAmmSx RU-0MO{{c|${#_Dy0sw`&iM0R# literal 0 HcmV?d00001 diff --git a/data_application/BMI/filter_onepercent/.DS_Store b/data_application/BMI/filter_onepercent/.DS_Store new file mode 100644 index 0000000000000000000000000000000000000000..5008ddfcf53c02e82d7eee2e57c38e5672ef89f6 GIT binary patch literal 6148 zcmeH~Jr2S!425mzP>H1@V-^m;4Wg<&0T*E43hX&L&p$$qDprKhvt+--jT7}7np#A3 zem<@ulZcFPQ@L2!n>{z**++&mCkOWA81W14cNZlEfg7;MkzE(HCqgga^y>{tEnwC%0;vJ&^%eQ zLs35+`xjp>T0}YW-KkrzJ?m16iJavT5L)7HQK09 zDMgCPk`nC+?bIAgls2?#kwgovitPS#?`^)#H9vpa?(N=Nua|tkU!3nY@8@&Q^PJ~A z)6HjTiOmw@;o;%q;TPcN;p1m*3h=T1|Id-O9=1azyc|0TDdEpqw@!jp>CHf4Dro%PQ z$Bt(h$V!l>JDPfAu0mhqpSdT)C8C)U+(G_ks^Yx4qptTik-7^JZ)G+&w`I!|6@ID>=#?*jm9Qv?p}#y?a#^|%V@yY_=aKQOzweGYGWs%sVPq>h>blnxhOVIR;TXY1 z3=>;*_3gnt41?n~wilW;8M=nkRv$=2Gsd2JZKHBCl3~_-Z*TWrRffU1hVXu;Fk3I-jARv_IK(UND0}ZCqfwUY}ujm1!Aqc?&~V^|!||mob)acKV&N zZia!{a3xe2KSO`le7|ai_YD2ap5s@Pg&BHFYI^iOHZTmMuCV@HW$4^x-K|kQLw|(U ziFxmO8HP)B6X%zlV2s)N$IlJ+oN_SZJI>G=SL#$ye1>7T?vj@HjtPu02NDRIYkC;E zRnx0=ns+ir7u?UtQb}Uy>8=t|dZ^COTUYYFPG6j%HJ!+MA<_(k0~3X8uI*&#Hs@z= zklxGCuBPrhIHsC0zWc0#m3%!zS9|w|+}BDBt$mG`{;OIaHIuydF* ziz5~*G#gOl37a#)rUK}jcFm2EtOt6mq>M-7NuZB8{E(5J1&Wj0UyrkW4b(FAw}mIM zKx;bwJnRKO(2cGNr;ODEMJJQ6rPpQw9V4@SJJ}c%jXEMXo;eKk2>M#}aa5pV`_fcO zb_2aNYFEnrN>DhYPB+`J3=~n$jyFzZ0nJ5>mkjTKUMbRIcCQu`g#xGeI`x8rzZg%{ z-aeq^Xrk0=%7LDG;W*LC3+Uqd*XAsp0E(u!H$C6S3-pz@FAEw~HngmvX;vT1sGaV*_Vt3cHcb=V~=;Ib&=~D{y&7}|hVhTZVzjf}WKv_`C z2)W#LRtuEE&E<}->Hx*dz4pPUHi6=@tkj%*MNpizH(|JB4k#Wxc)su$qvbSGc?#yFnP`tLS zd2jo1*8Q2aYsbw8#kHowJMZ{`5?;(~b;$#uUpyaq|8NP=+?OpV{(*6*$NG}?C$loC4VqKhz~ z17IK%R>o)joiBJ(coxCKh1GA$Bo?|@RA8~UlOAo85(`_)`t zTs8rk+QOcb>8pTlcdW|#xiQc*l0?rMo(0+(X}g&2IUx5jDP+&%(V(zE`u@sIGl9DN zX2>WrAD|`Z`!Bfq2B?P*jNebd1NFRSc`QZ&Xu~I*!k#<>ipSzzDymq|Yx4fhigB#> zaop;;e(+IHJXEzUa@bx_ToQiAdEX46z37@OKkX9GFQ1v(q80-5gD8Xw<8k%hiKP?Z6w&NL@ zKJdeMpdK^3zCE}N;eqazTX13q5orGNFPgo8FXlnfPv5Xi=FLyT1Fa}==dn|_xOkv{ zpk&wvu-XI3xWMF7d0)+gqV=Pt;;oDRb{@V~A80;G#rFE+xOkAOu5#F=jQwsr$glV3 z;}^XC%{(ZC6s<0_i}=Ur!`JdaQ_oqPpb_-lc_2<+imC}I1KFL^mhGA-jqo5*=={1( zrI(8bigJbD_Qt?3=7F~87L_md_IKlfx+ZPY0?}h2UzWUTr&8mfJkV;0wrM2sA@d-0 zV_oKjysTgPFhm}x;>)(%PoNFTgG^xLu=TNlgYrPP(U&d0;PIF1gX}Cfz1za;@*~O75KW)9Qnq!J6^@?>+vpJkT_bPIhpt{MYKkKs?YdF^PMP z48EENMWrPb8FPZZnumY8zw}S#;b--iXz63}`~|zeng>OJaie{_Lw}e)493HMJ%0Gb z!}sMu{?5`eoy)oi4+{B*LU@ln{AuFp{yfNQ*Tsg9OB;{}h1d%c<|?{Bng?c6hxWO( ziw*(rwWz>s#Wd!<1b2@Kc?+4(N}f?;pFCtfj(2%Kqt%hwbY%xgy!jNfF$m%aOM;m9 zZ5GQWdKoY~o-8j`_iJa~vU%9PND#;D?K_qd*;B&2al)Y{X>0`ZNmJY9tt)OYyGz4W zhLuM%-*3L|J6y$#`HWm6bBCJDd|;_ZQoE_ZtahJyXIifXv+8#KC^PLm<~^^nxwAti z0naVrBRva8GfSUZudMHy0la)BT8gdHnN<@{_L(`9FrPWVV{@Ci%y(*9yz=UsnYWng zBB)hv%+_Jf4a@z}%=%g7M(%nunKchi1m1XTz-)DSc4%*eA@eDpbi%OcM<7AONE(Z_ zFdvZK>#149G9QsQUb|pApZPA3d}x$IHnWa@Q{(GZ$C)qWWrGyLOqj1{E_`*RFOS)H ziiAz6h+;l!i9GERhGX6_ro}3+6lFGr1;;yHy~2Dr!evd;vA4i8v0lva(OTxiq*0fu znRl6WZELm^y9F@so%Po6t`K0}=&82J>Ty_nA~SXFI1n8$ohv`{`Wb~*DI)969g=E=;eoG6!b(f66pg?)`P)w`G##PgMr zemTs>^`18>a*r`98>BC`zt{&n3YG4M9=b4__m9@oDIqa0w;o5oT83iYT0ZAR_oJ!I zTHVfogJ)MWFU59xZ=ks`Ux=3F^Wjmc!SGvxU$v1MCPiUEfg(kwxw<437 zaA^wj2~U#19Ji6o>K2nxIIE}3=9T=CvfC|~HGzH!O}r@Py|EcmS@A2Fb()64RpuX< zx1#hy@7s)J_Euaatx^|cwv>3TNPAMvd<>cfo~<#=%OVC=nMY1Ai$3zNUaMNme0qDW zSgzbv<{g>v^C5->%o~B5X5Ar@m~GGRJ&!b=$9(KlgnxI-llh`!j&ZvM0R;6LFtw5y z%=fuXwfmB45q&@@GQpt2AJETB$~DZ3fO_ZR5!)^yL?3vsZO>cjJ`aR8&b&kM<^gnr z<^4;>!GIg>ttFSY2+;?ed1D;u;k!ZgL16x)oiZ)uT>2niPfMMy*^TIfP}Z^6YG?NY zns1aIZelK?4(ti$9k>;K=z$Cf$+Y(g%SfXW!{A zKgXpHLJf=On-_-y>iGwY6H&tveUMstcL{dMY(V?X4mI{V3;g9dWy*z@fnW7jdEKs= zh&~8hqaLyND2nKV{7&Y$X?t=2rB{?gopJ=Q3*TNn{(b>qF9c{OE;mK=LGlJZT++1| zNa=DjGse6D!Nx+F4SBvGxvzCYtky=L?ytQ2_TUu|^Oc@4cI-w(AB1aah}Bl35PcAw zVet}mvV%(>MDnXWb_*`!(g(5Yhl5v~v_tek{7l-IRcncZ>H{`EreO*u69h{u_1o)S zf%MJw6lULjK#fl`8#R?5goc-6d|s$<=>yiU?5fAEF(B}6#mTwx=LggWzWr($mD8sU zrVq@%w7bH>1bQ%eDnQ6ot~Y5;GvKUz&qy1k4(c!A`j)RuzC0BOv!~=;3bqDf z)5*j3_u~L_#m2ts{(dfhi6%RC=D3tq2oF-Wy2ZIy><}IZo8wQbH4Ad_KwPXfXSc+9 zE`Ledq-msomc)Sm5+=mbSMEqK5bwrDi9ofCu8X|@ z#7v*mlQ~QvNgHpZ8glzfxD=6#=*69YSBhzzV>u4tfm~y#6W~4*a7>@lAQOIs2W-r0 z*Fd%VKp?1>)avLXJkWyrI(Bqu0$%OOsR(^*!19eq7hT*6xabu+$C~FMJP^Dp4awcI zfSd8M=86=W%U>dOhHsa!Xa(#$!It-@FCaX~Y%mpzNc95jv4!SO3PeFBJn5trt34t{ zN-&Z`Cj&m~vC2`6OF$G?6WJ4%3`AOX;s<|EAf$9%jaIyb@PNgqS+^{00?K;%@{J8Q zfI2qx>Lz6az^$m*jU699sK10yfBQB~=oJ?a)PbUyKJojk$=sYBuYd-Fh$-236Mf_DhQgJiZ}ju1Kxi63z10|gnRI1t$oDO>&+ zjqpIWf9swyNe{4=C75PeOF$J0F_PYx0p9HJp^4Ka5FW6-Hi^PUoq%!ppw6xMz+g=f4P5W2GWxY@2pc)%Tde(9=uH>>@>KkTl`5kU8~?>Jgt z0AkM;p!3J92Q0>6-`LRtfC)yQw;>gN=HXtKkY7$15Cs$89N#?x@D?W)rEE(F$(LiL z&zK(MiXTwN941(2rz1Q_+FsaotC}8B3SDv^E&~klVzPzs1HkKS zvj0dr50sm2j{@fe0Di@cXMTGN0Xub}iRrkBfIEKR^*zI32oDlR=E;#vmw@lbbR6{dwaPffcmbqstFZfv>9w)|2<1Vn;4`CbC+x37IqZ=Hy ze+yz&8!n2vp5f95cKkq=fP%Wy>3}^z+Ys-b1=#B)@;v!h0OR-jT5ga^rRw}6^V zI!JDE3Jrcku&kTr;p(pY@+eK!!spEFSmU5N02ztVs|D&!AhoAxwWI_&{T z`*y2QH{JoRV9q?NTah4^6K*TPd<4SR(vM7@EDS<@?T)InCO~b;v|I6}5KuG4PoU+P z2oHSzbLa0^6b3wYbCcWdC4rE{<$Gtm>_AvdZ<<4JE{K+BHR>sx0-QWUC2oWyNWRio z@J5LU!n;zjrs*dE8|E~vb;D!8#%nzGz(s;+QBm_7aT4%POCDA#6beHA)##`<6cAk% zkym(18hEb=`<^>^0r(y{UCKNn4w&iA7Bj;~02!w|Z0s{-5XyUP8?Pw<{Ktkj`D*fl za8!?iwC{Nkk&axewDb*#J`yGH^h^TG8$&Thh$`?IuEmB;&tmq>j!!He)(Zmfx3_7} zMgt~gr@yiCZMHrzdo%+SUA9{TzJBSUP;o`TpboXzXKezs)@lXwEsH@Y-(ew9Z3Kwu zx=#$~OJ{c5I-Lt{Cm@SjWCn;d#O}yESjp_&opV(D<4(XRCYpBGNP(aL z?|t))^FiD`*64AaCJ!?<#xTJ0nl@|_~e10agYfjCL_tm<9PH<)TSrj8YNQljd zsLW*fJCn}yrmDvSdR>0*PKrCTdy8ROTKF+$m(ZEv*b;3JFyCw7*OAvE)H@gQ2(;FKZ5YIo!wmssvH24NM;OxgPL zAi9aJ-$GFZ(Z}BW(Zg#&Y|o~*8~3aMv8ltw{ZeE=WZkWX$%kGtdp0%J9A?e}oUDYk zte6GhTWU9Ck$$zL*EWdb<(n3zmGh{#MEJ)4ljCZHCMPHhE*@ zi9K6EZh?eAKB05SJm8{yHMc1chuq&PGiysAv7_O;@qn8bkDlMQjf)4|a-02_=hqP) z#1Fd(9Je_DxN4gv^4r3>co1Ly{D``7`G7o-Ho6$+Ez|sI#vj=6^w;trJob!Z^sRU< z9*F)cl!=Gx0P|qFo*}sycp`Dy$FWh&2P!A6j=8CSF%Kg5Fs4&CoI-dY+*#5ac;+DvYKQlMUtvoZI%>%R126G~j_X?W_X5HeFo~@1t2Gs}A zg;rQ?xtIZY5Q^(DO7LxEK3rtdnvru3aQ*_J&np+Pd0@WWxV3G~NE{arJg#~vI_-%= z<$-zqR87Pzy;`6%%Fj_*fB%*Fe9Sth@+z`tB@iwYO+92C4Rj@^JBPF@5gx=E=+aU1 zrXoD>zsJm_0M38R66iUP? zuz6rskG+WBZa)HqAKNPgjP3!R>>dMh%v!+bbYwrTN&$Wa+fxB8mcYMo;jP*;=a{{? zd9zm41_O_*#^DZUVEJL^ERsJOgW&B)Z&Z(ZF}ugAZ1B~qLU=$4UpJ3vZ~(NFm{jO; z9PpGbeEhz3DF`=ylu)jIgz&(Vu%Ig8l{ARmth=Xe5(AP)49*J{HL%*>XAAPDN&#<1 z%Df#Pp8|UJ_0}zF!5~tw#p!+Fa}X`V}`$W)C=F9337ZP3YEUVvvh?rQBi1wwd@7cE3sdPNgz;U-A{F&*9K42~hPq#_+0lulHO4e1kFnjf~_#l_%CyXYkjV3M! zUi+bKDnsQz1Z`TLKS zQ!Bqa5B=lm@5O_nI-y0nG~lPp=NpU%y5%eP_$a}jZocS`(g&L1<0$2QSAKeZ_^0?w zf3-d+q`2m98>RQ%^g-V2WA6crtnaQ5w6v|N4u@2~8xIOoH25|(&qR2j=1_d}seA+K z!;hK|#MTGugRP^&B+)?MNv89b%^8#jMbi9NrL~Sf-FzUL$kh!Oa+iFwKG2suIG$A> z12l?9mf+eA-^_#J$cP7RhZlmvm33oo)>;6~VzO4}u=GLofjTc|aS=g}OCQ+v1P0@Q zJwJ{<&ExdMD#@S5U;4Y^2U=~*ybgXBE*_}jF;kRzy}z42(4~sJK{D!JuMc!omZ7zP z(LW}BphnfHn@HMANup4&}+5FcFfD>eJAb&1+JZTQ)9~)2q z>R%d~K78r;^uH~B_`Ca;XcJZLX6`EZY98cYT`coA}ddPHy0{-89VyohT(vMp*r9!Mb$=8Imx1**mN&JVsGAftz@s{K>169 z@<5}sq(})3=i))mC%*on==+O)|r_rDu)mes{x0oW@m-*y=2$eMEr42lS>N>m7U6+GDFui<}J{! zXcUj6Ru5QDfPOl4bxoTd$S*1wb?&tv5>Hc4JT$KKYDD5`$ukG_E1F^l>|bKnBa_l~ zc<@2!b384ZH_xTaAOWO>JKXc8dxQMR6m^}ueO&XWDJ#{}FZFr=RlaFaiw1XpD|Ibd zM(yZGr2Z1wkX$*b?<`ln8Ts-T2lII<5FTV+T-TS3Ohfd6Hf&^5*m$Wgjvr*2oa|<- zdCjE{vK_`o#eJqA4-*(i)HA+$e46Y=sr9LqM0lW--#o2zfS-#8s`TOA^HdXoJ}%73 zBk$0F`XJry^|6XM4Cp2asluehA;%B>>s89%%ei*W?jtw4C7Vkwsn&e#It z9&XPCt9rQffv%k6VHa@>WLjJt*QZQjd)IUqMft@4tEz&F>c zR0t4iQZ27R>M!BYs=0xOPI2jj!j7a6GwFSU>I1R;R!+OJGRPPjO>hWbgZN7dl*;=1 zrafHo1AG3%VB-%`6Jm1>L-K)S|5C$q8LOT1-{zruV?I}ZtMt+{R+-IskUJw&`FyVe zDEM}@Cb(SZ(g*6?hm?>0r9e}{wl!2w1=+$ImtATZKWseiTm7Xk)rYV3muREvjzm0> z`^)MtePe#>fc_HwmtBC~t)qX{_`{EmrwJ*NdJW@i0EY>X9BER| z#e?{4Gw(+MBe{4G%X%4cZdS#hJV@)Dh#$3 zebyk8ZyEk@huV$#Cf9Xe$$Ngx1 z_*upue)josKWjYwv-h|DRsPbyEuZga=iz6WFG_VR5^>A zf&UtP_|@O~@6d<8YkXQEvAv7Bvgco;4?i0Z|5SfT_A>cy?t3wysTPb*@-{AUyQ%ZYqC_hc%amcI8#5#1}L-*(J~Gx$oK<$ z{Rg>j=QiHphg|)w^kt)EOL=(_9;gzNeJcF8d0_Xq(rQ&Nzm+%ua>ef#xO_-J>htwq z4+XzeD~vfu8Oi6PO)-6vxjY?6m3TLKY6Mb`Ozv1i7H!2cklQyq@q*!cuJH$Ue=C)8 z=Bkgf5Xf&hlUEb|xjr9lw`0$Wi+4aKsd&V;im5=~TPXEzOE|)V+<0Zw!Hkn!JW%FW zd3cr^1EHvM<+Eugkp5O&qhzZ!@eEMz`|V%je*!3HW7prT!GH1kK=dhxweF8T#+ARs z9)F+{w(Se#KM8WKPf4Z>3xo&x5q7wg-s3!U4~7gX)81)*L^j z^2vag^WSyv{c*r&*H90yFb7oRiOr0jD!^G(MX20!1j22!qQ;DDkQ}-D+J(HsfZKE( zUxVTUJdM2TwYfRqBF?IA zy27@DK(frKvn6GL_=V2cQ)O3xTrylxby^Harmfyg5Fi6KkxCoRr~s+!J!0=}odty> zo%_8-9041I7b)A+4rJl@zWr}40Yh37WUTubu!2m7tpRmFkutDJ&5s29maVZjR73!? zuCPSx<08Nk`IU1n2Ls;4S8ep-TY$T`j{oTnNg!SGtZfyZ0z^U*)#CVNAVl1^QMs!H z5;v}Hx#4vIh_OP-#!_;CzS7aCKeGVP?^QIbiE{xr##A2K9s=P7L+!%J1i-o^F1l_1 z5U@sOPU^gu04K0qzl-Vx_>BwW6et>r}9VB}2t9^CoJy8ori-J)j#X7(Cc z`?o6q8$jHubjblwBgZOhaDiLY}e@Wh6f~{sLU8S;WS{QDr!Tgp94aM zonKVSR>1BxaURyz4LHa31uGiwfLPAH)`K7C10Gh(^4ORFWvTR3-!3wUl*ZccxpD?b zz85xAu3Z5!jRL8Y>JcEpf8G0Ab1W*>}>{0b$xRWA7P`fELm-Eouw~ z>^;)+zF12@xoi6Sg|I$1u8|(qQ^o`SV%v$+Z$<#R#B#6NP9MM-jI(A=xd~#)d$x5& zdVzdmtg?UIGe8|WAlpKW1MHi33FpT=2V6?*16@+9oZnwgfDdvhp-)ClH%nW#YUo1Z?O{?Y3Lv3Zc0mJz>xy9rnR5_>)n_4S%{vqt-WxBgb#{v@A@ zu||Nm>b0f2tOP>->RF4o*8@&|7XP}7k3sB>&;yqVo`5|+1x+Wf1hHzRy4Ov6L26lh z)$-UKAbEWGgO}E3K&;5op~x=*RIeyzyUruP&#ge6s(S#0eNSYSN2~)%=Zd9MjD zNXBOEp)%`0!c^Vx!ThHP4;af~$q#0VfTYKqTiC<1fHZsAZezX8AYHxk@bGJNz&{`L zq~65|BvsaZoVU&pWbyLp0bX=tkk;v67cu0jVgU=0#wVKtG){|K$hgN#4fE1r0m)?L@Wh??7C7z zbKe8NEhASaj!y+Cx$-E#;lhC1^1|)hD{qiAduA-w5smPG=U1qubTL50iO0b_mgTqP z51%l#dl;ae2ANha@C9kNgD<>o@&I%BX-xK01CYAswj`p#8;JZDjb`D9fPPXgo?}h` zRN;$y!RHP@nKdzP;|LEBPdzZB&fqd&mGBdAG8B*)@v`lXdML=atji8hmI3MMBU2NK z{Xoor-s#!x?LafV^Md#FeS`;`D*wjOYnULdBKfd6DGJczCOSTOzZP(nu1~G5ode8< zxcD^@g+QuUQext5_PHKe&vVUf&8+vnXTjF2-TojV8KE3Dw;S;9<^|V<2Ln~jju9}@ zcEI}HIQ8soWYzWD;MZjV+fOU8rL;U&w4 zMV$nE0VDP~|0N(8M(vtNZv(0AhupPBv)+$*0y<=6FGyOqXWXaH05bFKrKs#VfDdiZ zlCUivan~ zqUzu>OORi7Z_Y|lJC?uel9^ZP1*APfH9@>Ikg^xIM3>0|dEOEJuoc&kdiQt(WybR3 z&w+{}Sm%an0cGa#^G~Gqg7o;%LpSGtUjG4K75j05R}~P)2`08UrhzO@A>>}qVIT?6 zXNy;}-urro9EFwIAj52yA?#r+8#}W>Dr?2Vlu=`VIB#QZQL8b?lv7P`Jvl(6 z+j#RlvPATO$ZVDiVKf2BLAsCk{Q;2eisOksFcPFsOgR7QP6%LUs-K(q_!3BLIUT{% zHUgxkNCl*Z+-33g=x~7>4(VSah{hP$F5L^b#rJ|vbyfgLrYCs@_y9gBbaOQJ1Q5D- zM=vf|3(`Do-WqNjL28_K&(nR)Ktxr0#BK2b;-O^QUGsf_ z#Oe~HWl#B#%O{&rqPfH*k=WSn|`vlfc3M%fn*kRs zvQMIg6&H-1>S2@JitwNyG#TX*z8PfRPY)1vst58U{cU!ac7m+)j$+Zg`9LbyI%?in z2c+H3DR*2(0Yz@Xn{l#fK-M%v?VVZ*_`|ox5A1pZU&=%O@rS>f2X_3x9)I}7!+#^5 z{;!Nr|JCCUL*)T=M(@q-VqK6Te6ZMxn+K><)2=%mdjulmr(q9>T?7%)YgWT7rU1_9 z?&{phuK;B;CG(AjI?E4T@lHa1AG6OhTq~l<5JaXmdWCJf212JM8tL5<1WfMaT%nWa zL7?wL&ciJ)0h2YcuX2AD;6B`U?Ofdlr1u~*!gM%D?)B!iU~C7GHQ~EsaRGpx&Q!E{ zb`j8H3YV=7zXud?kv8VT8$g-FBMRl)L42a4o5tlvpm=Xcx7S1gpP}LA3zTUf?E2xT zjAbc^O-j)GIp##;Uzz_KDF3~%#rvbMu zBj&=!r+}Rxp?`XwGYFL)IGI=$2*P8-pYNuz;_!2Gj^RHwB z7Aw2+@u?+1q7ZE`Dn%gSk!f(96+hzm)#F~AS_y8n`)MEf<-t?H>D?(Rhj&3pvnh7auL+#ZR{2a-6Ok?QqwJ`nvjtspR^LA)$)ri<}4 z5U(w+S&4oHGHRP+E@UVJ&w>>xs%ugJU3}!E*~@egzJoTJh0133G%Bm^SQrWz4f>iX zq4R)J-WXRA6AdD9n#UYPB>=B!K7*%S9Je8wCwkMnap-=gD*N4IC^ZniWKo^T#P*O_f9cMEj57gY;C94;Zzq!5!WmLY?9@`kCo`Brsq=L2+ zlMx=+`K|JkYOva78-QY3q&cVR4#*VNy5OTj^ul@>ubo$ z&NdEgI**J$43!6Vek;v?@d`o~3S`$~l`@RTh(5@9C2S9EqXG$TIE4Bcg2cHeh5Fc+ zAhXkA?~SX4AnnF`Isu~&a`zV&G(YVGnvm{?ZT_}E+`B6@eWlLl^>!Dekxrjs-9M(R z0gF2a#Mw9no&94#Cgg+$4nGp)7i$}6lwyEfzIblTxU--0TOU4&)9}V1^)=W$$TP1= zJoj(l%5P=!K(`qFs=}oBbAGE^X5jpgGN2ZP?JJ1aLgr7i^ZD5IHE8K$^85w62duBb zu2(5PYHmU7u+>1_UnJ_ZAQh;d)?3D`&_;N`oe2rIwi5^W8jt*EMcF`!JhE@H+-Shn zM^V?S6A&I`7d;*QeqA6alwJ`c3ikm;ORT&81Ruych^+4FWP+4`#tE^#xSQUN`GXB8kfn84kPYwsC zZKII-OVZXc)K6;>EwfK*bN~F!o(a>sRjABMh8Yd9F6e6&i9sSmbDnKHx^`H?!)U5Zh=hw zRo!ZHBGTU~S9SBy{A>20fO!~R)@=vm7x}{%XvzV#J9$s35{uiaqFVA50#I~PZYSSu z;2NK1=WEFGXYZW428Yy}Ve5lzm5I^OqcKRn_dxY#*z2*gd0^L@>7TD5TiSipt@a~G z?K(BA+cODBGrea;-okR#Z)N9u_pdiYywlOrJG>Lo2e~IBrpmkC2N{<)XkidW#-~MT z;UnCSoB_#_;fv_ThX6fqhL2(NJ!Wsy@`ooQmVn5nJSpcSEMN}pV4O>90+AlNbI|-b zfZlSH8Wz<6`~@SdeU!h!yajGv*Dd8cLqKTzhT6%=S|Dn=-mlul2+401)o*^{*%J&x-Ywzp zlM?`C^>$fLJ`RYTe36afwt%BN*k%~<3Pf>*24(wG0j*3g>0W9If>&nl+dW$y_|7eT zKk6Opy0_-~IPx85epq}t=fL8XAZ(|TGNJGgh?PxGba7)nzZUtCQfnuJ1fw^7MD{)4 zeRRsne8*Yf#Vw#Mv78O!{NXewN+byHe0Lw;bOcb7stPwOXFWg6&BaRDc8I?u;CjvF zNR2WGl}K&car6o@|ABb%xk=afl^~`gr_f1IK-Oay4*ZzdkgNlu*hzW;``&`UjAqPJ zm60IgR%VV)y~6Cm7UxwCn*sduS1)WkXA69l9kVQy%|K`?DscA0$sjbxb-BUORuC-K z9_F{v5BNM~B#yUK1FEp2tW{PB_(!FVtq__GygUuJ9+aE{F(TfKDNqW8YcXYEjCLS6 z(d?}*+W~6+UDt(UbAg{P?@4nEf%QDM(U>dN19s;QnxeE52-nZBi9E9uct6^d76`F^ zKeGP%lpDc-aVqYRZLI@QE3Js-%Z35gj=5=dI6q*Dgv$@D%m-4`#6<_9NQl2As(DS? zcfAP+_Qm`9CCp}ai)xJ}n;$~_C7In*y-yij0b%-tFmIO_5PP+)?67b(2uRN##_W9n ze7hUoyQ;PTQMG&L8L3hb$yvNN{p~oAob4ri!Mr!gRoKNNa`>;b&f_Ul>+DgeQcu?F>2A5eEKJ~U+T1KM%B zcyzfZ5I31WAHA{`(9x^qo{F6Zq4C=(h1ttMC@No~Qm6*R_el4ws*nWC4cQ4nHCq8Y zSzn^Aumc3c_)TdO>p-Gccq>ukHi)h8+Ap*+`(>xr3*o9i`8(QX*@uXnT(xpOatk{juIo< zMv(B$u9-{c2kZgya6z*cga@LnHFbPaK48$)14sgT!dHE3%&*M@ z@ln0+CJm1R!KJ~kWh6EMp;!2D`ZgTM%nHx+l9>fkisAc0R_p{qnPlZ<(IUX~JU-+S z?F=XjLB;(&A%Kshmu4K?4}|CGZ=cc9L6))V&>F32fV!qVbBcHlVDq+CSze_BCHtA_ z(zru_&rgwvcwq~ohVt5aj95VPkJOXdfC4=3^-AqqCctxh^tL38d>}sUY{VT7U$sq0J|9NyUZq1}JmBsqpf}fcgM?X9ouW%K zq7OpD)CFE#XhZY?>$x&LPH!dP%$JT$-7^y50Trz%+`6y~(Fe?SccF|+(SVgHE18k6 z0u+>_bB&t`Nc-GA^}b;$q7N9!4SRI6-XZyX1L*_V(@oI*RtDgjg~rldtPy<>UjBZ$ zMV32A;1!A~1_wYiwmida&PyPr8_vqT_zonyJI*Kwu1E9%#c+>tG?|6ygVe=c?) zAYKr^ibx%g=mWuea>=w%X+$5ScPq_`Ew(`PK`Q#Sam?s#fIp*$BW}0~n65=?w~DMl zU|Q_Dv3Hq(b)Ql9Z2t>D84o+0Jchxg4{{P^muvB?zgO9ed1S`}*y=m$#vJhnid+RY zZs~Lo-Fj=sTK;rIAE-tSt0P_J0)I$@bLY(hAOsekx?Oh>q_#wiK3qQnNJeVtX>vA* zJ`iiuCSfEJK^|RMx-EYM$OfPzC?*zwuAXtepz#$D7Ud=kb2!VT5BMUbsFQ_FfSwqw zs_iiz2%CmAuMfNlV$9>Z)PNEoqc^GG8%KfgQLC+K6LUa3&_B`JWg#+ORLpqs*;m!) z0Y!I8S~lDc(TD#261zShF1yP{xRTYrE#)hkUP|TC2TWy^5N$sm(FfdH66*a&2N3hL zH*h)4@>h+nJ5-Q70dHSwmKP%ogz1{uNzDs^;A^m&8Dja}=ZpUA;}1W(zw~d<*Pv2$ z6_aNb{xE-u9Z!F)zl5{$JtJ+Dip&>9hg*sV2%iR2YO7Idjsl=|-N;M@RaRWtR`z7m z3_u&jJVH%(1F_jDB39F~0R6Gf`c2$1w!g%Dw_kb2>KXe$a?<#g1U*y0OdIoblBW?X zetea{>$&8!KJ0cmK23@M*nmaje0NlV^!PjbpI6`E;z4j*_=445b%?)&)7-mz_L@;Z zj-L{AR^1zLD~_LByP*p3fxg<8qN5QWMDi;3ls6p(ti(!5>7yF}J@qL4`V~OpX|lkE zrF=0ffiO~6+wxy!P8_-A;fOq+^n{ zXM=F%#t8zK>w&l@Tw~_aR={XA9Tuv@047?<`t@QFz?faNa;iHE#L5cZF4_o?)}?eN z8(joK{UM|E8CifoSJ*0gU>?E)Hg4?=Iz1S0x4YdxiWCDO#PjaW%!4dlGphAxXaMGU zjH9W0EJ$9~9A}>w0BDb;!)z6bK>{KdMcr%$QU)(m=IBBY7xB$AZW9NrRoyb*)*~Rj zf;s11?|Z;Ww%?zl?+y4U&FZFAFAyH^6ME>bBf}6LM8bDVZFrys;xe`KG|pTAF)tH= zH@U2R+=};a?Mgwi=|j#+<3bRZh+68OJOQxc77`XG!T`HQy_-Ig4iXKoSWfHc&-x%B zyLbBYMFTf|RZTT^2;t3!oPP=9kx0kD)09zjj(id+|>2w4!2k+=5nJm9MV!m4jt`^Y;`4F4N zp3wz>AFbkdL&$GXeUN$oCNd>@9FSXGsmT*Q*Y}p5wIAncb&!0wR46omR*lx)BKyu(oNbgvO@IXi>TR)J! z$)yisqku`BqPizfz&FR!!taIUN1{i3u|BZJAAXj64fgnh%yV7WCkMBE zalJ}54+Hs2?0N!U>n~Bv_B8G|w}i`IqQLzN&nO{7=Ar-i!(jdrEvT~s$lBo?}oxdcuq1mUi+YtoUiT2igOc`=LGF(B<9lD4Nq7T?9 zN>5~u&H>z>qy;@WF$_(qw`slD|Z%;6Hb%CyZdI1aj-=60Uw+g zL$Tb(#RJYNK0oA!Ef6P{P>at5vvgDfuid!OYf;|yN%Re>dyna-VB=u>H*)H zr#EsD9;7CiHSZpGcTj!6oPScitRxa7RF>MNPPqw~ZPaI@jn5)HkV?v2ZmMP=Jc!6| z#hO`*gYdf5oAEiz0B4l*v|*VW@SjLNk~wuD!UNu7ykE))rvc*!fg=lypUhqc#Fts` zYG*Fx;z4|Z^P~)M-9hUae;SWt_7z=I#4I5IF`6XjYCRXwOCz4f9~MUXmvH1Gch|@3 zeYHMd)%U2X&oTtU9#t(H9b+yYXtHBxj!Rkf&G9t8-lAQ1#*HtIrzzLw?ZuK@|FU=* zr{shQHu3-A@$^9Tm%evAjlI@*4=OkRG~*9a3-~0@r0W8%^P#KcxvnAWgUF1e347<) z|84oLg0%^w@i+Hz>BFabWX!hJr|QowIRVlOd_T^!zdGdpC8EN%G@g-bhs*<^R?(SB z_8hc+D|4Huc z{dDKAeDA-hzmxN3%E$cbZ~d2!Pjjue8$S8;q&g}{zO3FolNta7 z+h_AayBh%KIoG0VJTG9X3J+PEF9&SU%NOylZzDWlGb?%50b8y4Ze=b2oLQ1R*YuboF!>Dxp+XG*j;b0H4X8XgmD^q=daE{ctD>R zU%zjI5r`efI#eBf1t_CX+e)i$L?0xFJEl1-wnum%Va_Hjto8uB_GY;(wWnM>P)_YM zemz`!Jd^GJuSYo*D;;<|Z1hy}B&!srF*|h()e)seJ{(isL>;B`uuj{(6>w10e*Y){a*ZcE+-w%?ES2T*Z z%$N)>7lx-;X*Wc=f_M7*dwITnXZlD-w&Z9JdUNMNcyZ~GxVh^|`1P3FyV_sYvmcmD z6K5~QX`xBhyfAptmSJj!43bG_66Gp$P8vfEh zLj3K)a72T^>_S^xXyI|WzB|A}J8{uqI^ENCCh%l|SFMsZo$;vj%0f+zfPjJHpH_AM zdN==>avVTFKWH|fb12TrJ&?HVUoxWRRz44lbUDfLXYL`91a~)8st;(C%qZ~7M@B51 zDTLd_<0CZb+x*??eMp2XT)NVKNZP2waU<4S!=~rA64PSrLA_vxL8(7gN9nn{s5Z)Q z;o9AL>#JW!DgbMqxn?yxy^*{PrE)x%znAv2kac7AUvhO~wtL4CP7UAI zk^Q$*XYY@6y3ZrkPVp2ooTxS5L==u9ScN?qpI4#Or$$JuQ;pB5_sm=&B7hUaO1Hk&ph%Q?qV2#dbPV3jcjO7 zX6OQj0(S)~OT3@jCHF;T3tg}U&d94f!6Zz|z^AliodKOn$*VtP=c?9%kKUs@$E=RR zy$9VCryBfi!nQ20?JkD?4c}svF@H@jena-3`ruLSeBSMPrY*|lJAm6U4y+|oFVRnX z>KFx-r&TYQbd-6fCDoV%0W@tUXmr9|d)nv3=)L+|uJg9$`9@70u1*3+NM5TKC_!WNkGxL6A~Q#_$4o z;w1+T^n~ObDdPcz+(ReJDyNQ-&Oa@-f{LKt5Q<(vdSn*f2y8Tklcf<+H>Vz$AJ z??5h1!?M=xxv>W8J{`qvZL4K2yEC)N^D!p~@&*BX@FeSN#W#(6+yJDS8sFETnpt*q z$_XyF*dtLgXQYEeaBuH~+B5pM44zV2iQzWwzVa)h6}B(Q$r?qUO0~s$O{QoUago;g zZ&!;vC_3UlmYGrXA*Z1RiOw>iIfBFk@>mKFL_OA>9V*$Aozwzw76(-x$gYg2$dWT> zl1zFjFW01u0Ql-E*SFLsot=RTqX4ql0Ljz=mg-B6)c-sYVs;90+mG`2zs%Tm--CKu z#(cluHuLI+1)NLTlnUrTPrV3ztlK$opcvXk2bP@#f;Gv+sez4;(liQu^!&!nrn48X z|Cf#&+%)&EL%m!Xk>5kz=epesw#nwCVQ+psL-(~)0Jkp+ZSp?oqDH;N9yD*|)1N2+ zG+C=_zzu0XsXbjGLO^E+%zu6yYB(W2wX6r;rnn4ML0FX5Ag?(O{(}mJ&r%s6#o)$i z`qi%pry<(YF|)wVf+9tIK&YzbMaX=}LgO?_Gn^v-p)l3wbM}+I3Ndq{+&NLq4_x_d z%q%5{zA(W?DLk~KwQ3IA7^FFfc16FrZ{Rn6L)1j1SutPK@V^8YUm$Nk5eVZmm2noS zQH}V&5;mSBWRJ4$u8UqB;JbBM>pI?PqF0aB^U1H%8=6-Fq3hbh!*GM7kwENvfSvep zSKs;OwIzye8;1GW2mW=k3Q_-tnogJ1IWDo)oR+=tN^nC7d#;UKYLFhh{!FZ!3by7( zm+fXH?)ruK^*+s?#jYcZZY=vWCvSZ6j#a3WD<2AP=7qW!y3&8%f7zFCBhq<&z5D)m zJFVAFA-^2_!=AU}sn$!oRT)X!K58W$`}TH3zDgJL^i?kBrty62oU6=ea*h75eqCVI znHc;qUIJbF%@7PKZ(e3C%{+g*4P{{x1e-}10khrWZ=ZhtAp{ycVD3pEk`5^INC|0= zGbe6eXQ03VcWnWUKJ0dAqoiQFt4WrjQS+!QEsVC zu2;-3eu#10LcxC_vLXuQyN@?H|lXg+22gPA*6kye-{^R z1UhQE`y5?-s#tqyGtQVntBnWF7z+X(zCQzyfOL;?N68EQIa0Uym~X`fR)16cAnPBl z^x^n<0Q`=4R*c3}vo1in(_8b^so%ApSpT<#Kj8hs~-i=KOp2 zd-meV|Kq%4+WIId@_&H%LQt0}{UhG3e3ARPr!K|B1`tsEWOY#)awbrTm6y%|R%S=0 zn%EG8LOKp9F2zo@FebI)mQ>Z;J$6_pG?2}Ng4G`CUfRj*nevJB#vnQr3@m*Q2xh7! zn*-3fVpJOtOPr8x;(tq^V6qNqMSh`vuD^}_JO-Na6r>*?Bch4SJ zO*O10(XmDfT(BAg#~K4fOyuR*sDwer7^%E71nHA^zK|PGV8-hmbIjY?{^_G5_0_Ak zik>*z9fpg3X0mF>naH?728UGM6M`({27QE4UjdcT_{H9d|CY6o4RL65!$l`ES)$_% zKX#D8u7jEb^=!v-!}iofM`~GjTu>lhJRSecH;?y ziVM=hi%l(f13$ih|20S-8>Djv>Fh!J_~69H7qp6Kd8&VI3wbL}MO!@`yYo#;bAh3b z&--XRWq?y>zr%2!pIOpJN1{&_*QwfZ_7A{10d`r{h@YkT1bh!zIAb~ko}79gHf=gH z#pmsABIYAYtSWi4UgbTjjSHDx~jx$YbmC}-JjyBImAxKxM0ZC%pq6gf(1>Z z&?UD;9gR&XDJ|p0;K+QbXX1J1$>lBvtYA7F_I>CUUk{siq&YP+dT^rKK&Kw3T&a;2 zAnmNI9V9~@0xkR)E* zi=_(086%_cb0CY>_V&?XaV>3IX~@?#2E!}&Rk`e7Vu%KZ=48c2u&S{1!!c^aA z<5jzS=Gwegg1$`V)-F=UKeGlpOr_qrk6`#XbK9vEBFfZf?{pi!?vVkrSK zM?;H^R%&Qg81p?!f64q8t&oXTHbY7(lGoObVVR=q6E^z+yi@K}6(sty=1iF=F^@q5 zS7rqi4;becw%%q498!3+0?CxVMzYKb{i0K^m@EKem{)X@S(kGLlsL7!pT?>K87is; z-7mK)i;&;zbolwK74zsHOgc3rpnjp+zEqx?BEya&WqO>-=@NV9Fl_T+uK!_5@3U7d zBc7`R-k#IVbXYZi=>5iamR(M6K4NMzZ`UBJB%gq#c**54mEi*8Nj3UP;$;g)caieA zc67$bfsv&E%);RV&VgrLl)jB)>afx(&K{P<#$9Gm1-7fp`0VQVWIa8}7@l@JbT%22 zq0DmAyy)Q9s5WtJvTtut#>&?c1fXugdvHPKMVovjPv zB5b~sq_zWpSuNRFnwHzCM->pM%m9Kira{aaU4f+CqM%nT*={V=Rtc^zS&Njr`xpI} zK11dcKlouYlGGTLGK_qzxo+lGU7aEob!|y7wh21X9pzM4Ra^i$0w3$r&n3^1KSfnC zJ#q*_-`az!+59TQs^|7&)|kR-YXO-0thlRolpjOCan_Q6`laDxK%>RsvEG>kJC0F-+%^GIgJhn*Ca%HwBHfQu^1dic6GAq*tX$VX)tb$RUo*p{qi3ns^F}!n0j4 z*m+BHO&%<(No4T^%I&#a;2db2DjU|cbZf-_cv)ge4N%_$Fg~i7?Lc{hB*_tp^6j(! zm7&X$A>qh_V-#N7up%`9Jr;&JvM95pShEN}eeu+XITm<9VR{lq*u@^y99V{cxDtnD z+gJN*CdQZIJO~GKxXX-h&;{i8x{~ZCtwjmhQac?lMlj8r=VdA5H6n6Cgq!Bd)`j*z z8IP_@xcWP)%0{VC3`!0adz>S4g-=TBbTsrnacSus@4SZV!xWlv&k@g3eC~ntBz}@% ztJ%JcT~c*VvnX~!HIiVm-sqb$&~Rp!LO?gDYr-)Zvu{JFGq|}m=L&GGFPe8x;xXbwM^l6NLN>C6iIwmu9I5%la2}B zogkY#;sPPmk2_|kUABf9qMc~Z(y4YohT2OtswH}i{0K-UEINigN+Vnu_iEQ(%u$#7 zEUkTtcG2Ux92xsM<@8Nuv{>~Fonag|$Q#l0`%DNHk0ehna~3DD$%1q+C3Qcgx}XEh z^HQh4JHQPs--fEOLZO3ywE^gY;{FvZrj+0h)>&w3TH}j2vkoHn=l5b+jhb{s>!KG< hE!xufc|_}+{)Sf0bzJE}ZMjBEzo_QX5_I{p{{ee8H#-0T literal 0 HcmV?d00001 diff --git a/data_application/BMI/filter_onepercent/BMI_compLasso.RData b/data_application/BMI/filter_onepercent/BMI_compLasso.RData new file mode 100644 index 0000000000000000000000000000000000000000..881a1d8feb50044bf1f92745a787feda881c8a97 GIT binary patch literal 4668 zcmXArdpr{g8^^mGM{;UiNGF$7DwRaHGxtSFQY5sH`~nK-uM0f^ZfJt@jRd3=lA>kfXN%y{Ezhu*LDB8`bnSc zwkCb&?sajO&!0Al+x^R0mmq~g=U}%fc3tIf4aZLFnePcNJm|RVoa_A|+q*_DuY7pw z^2xQ$sf0XM_LgzD-k;FB+`hT~c-B_`5|83h@Rx$trm)(1Rx3(037!XSXGUsTx%FYx zg2`5&jKJduG-oSD8IPns%2f&5p?9-P`0oo>e_3k*Cv1Ud!6M$+F0oi zI{rTY;=M^tY?RcS(E+8DE#JVD@WVnv+O(nMX>Q0DcgD&dBz4$+FAa2CPWsdB(_ zdtNSxAYhY)kN7gmU6aLo#0?m=g}Eo=q4!eR|Nn}29F?kP&J8YtV4BZQ56Lk#k6QfxW9Id7z$GUi@#rvY-{DR*`gBQQ>)5Sb z@9}Trt6&c0Dn;2h)BBXryLq{faCbsNLQLjkKPIm8!ozQ02ymS>2(+p!NY2F$a~nx~ z@2{dOD;UZ?l*a+S<@m3&32g47SQU_s@lu$DgP)fzESW~K<#ywPC$IgRV}3`w&6%)qOxZxJ6_P>7#&o> z3Qj6)ewboQd1VWRRqB#HAEOWCANlqqMK{^{#@*IG$6~E6;j0T(6SniDlkZi&bP8xt zO6JMwA^5&TrJ$S>rLcJ)38Zi>Yhr!WRmy;OkjrJCQ>w&He(1Amk1T0_dyzv?>i}DJ zH~YVO2vuIb3X%vM#STlHAuLS~h4cZ+6ONv}^^uJ(_`hI1Rtu=?>KVdFq}SKqqmA`t zF%j1i@5WxNWM5>MA6d@Vj=*8B$@NRvH_z<{3sGZbtmI_qaH3MB6Uf;)(&Th`wPZJ4 z3fSl^IORQa?OL5#Hw*OhR1)rTrKK+gp4J+sBOsrZI=V5{sT-U`VWA3zv3B5MQ8Q); z#@^vWEE5eC{d3b#QJyFW=!QZF4^m`k}+*```mfPRCP>?lSiV94$ zBVV+mdS{mUQqrCA;eS*9ok@DW2q7I#ws|%M9D^Z_{%dnRzgwHR79Wm387ed4i z2S7Ql%6f5}Dniw)#8nY79Dlj})S|uvpchh4VOwujHdjfzEZckG7`0)PNwYXsF2yUlPlk3>1B8!V(=91>8i=dvP&k>m+c)$QOmq% z4Q0yGvEWX#!>p95X{_8!K% z1cC)Dc6U{2&7!eyZ1;<|hrzyR*tiHp?UOO<@xz$_&R8igi0He(XeH_-V|@hAj)aP{ z=1~z{_4mP(F;_BiLfc`ey{oUmxxg?&?6+7df$Y&DpY>! zM;*N;nZ0}GBYnK*XWH}}E;TVX30l*&a?*&NS3`U4YpcWmCMfpNMTCpeig<$&Y>t*) z(9qs;b@@Ybh^f%}xggK#;6=Oae|BNI%*rST?(GEzWycP)?eq4IO*gv6f$u3tj_c&? zAbMegw~e53zQZYlQuQSScdc;^UDNZ();fmwM;I@&o>vm7Bq|nZ61JR%?V|g@o#A&d zX2%G#vuFLzxZCB{&2IYlV^eVHSsh-2is~%-B5h$>ymVIr_AG3mt)oOFiu7n6`&VwK z%J#l!v3aL4O7)yuD#`l8W$eObfd-lXdS{YkjbbtBD`5$tJMX8vO8y4DSoIOUtv zI<=c!V%-$}&AU&^6jx*%e%oLi>sdjP6qfpPXj_b~ec3e=oj^CGZyHAT zwf}f-M`scfh~6Db2v(-=Sh?&xrelP9V%e!Zs>_Kw#_M`+(2zYCx)RXbBi4)Y;3N); zdqm>xl?(iXdB7lW)N~iH%j4^E7spLv_Q-RbD?{$^hoUj*;;RV$Z=luD> zII`AB#|!6^#lJGr>rySxB8yM|mNdSddtyk0z7z12Y(Zq*5cC*Ei| z7}?n6#CU`s5W2Z@?dnYI#Dx4Uph994=0F`&Q+j;0VRy|#n zoR(yc*B`4_W^4x5>lR8!$K%J=M^7o@#QHMx^z75X!KZ@=GZhlIG6YJU_*NO#y8;Z>m&CZhtfQmI*O< zV#Fe8MLXMD!Pa|P5-}H7Xv#uD@dMN(zpo!$U~DD4p$!c>U@aT6HluJ9U7a>VkZU3* zK|O$hGCr%oO9TVMs42iTU<}M=z`cc(nC;4Id}6%G1eJ*SG!d(Vj0-A4yQkG5*v?YU z91k`5YjbyGo~t_L=8m~Da}T2e5AA!PbBAhb@x}X{K7-Jr=&Y?+h{^2ehd_I%o<7{*p_~L$|Dtu%(*HPYNA#vMpmp*Uy`SaHJEkBXbF2TSx9=>G`XaN8wJ? zk_PE}$y~NOCl3<#V<{C>MXFKx(rD_9-vtQ8@rX|!%(SBSjWw)iUZU?BYp7UI76a0` z%5>R%T2|@~D%J>k*5RRg8l=fSle^oZW<7I{zDe__wO&5z38io#jPH*}mL{_FXW%08 zex|5t?-wjfF_K9zN5D?@TLz)mAa(gcdI{(z!LP)i*-xHn-JFqAM(UUtcLdoLj-a3FNxBRP`yJjExUw<>wP(%QQEP77sQ;@=r zJs>)5G;N#SL*LzXFS}#hb1k+E8Uq7$&sIVT6Rd!#SEGbod6wy1Rz!sS_iG-9he*MW zAmR_ccTgUJ8{_CL>Rr0U_rH-mP^>gi=-6Y+&mJB-e z=RBFJXIylK*$)`H`ef}Aj6ekqNgG^vdF=y*+zMg8%Bs2E1gHbtPI(no5^dR1Xzg)gyMYBP;F`t zcKaz>5 z`~1fPkF?<0*-uYnwlVVELM=tAE!DxYiIm0lAIx3C{Y%p@MqulAtA8%-8R%;fud7-; z5A_G$KpW#&FXmL+S*^RDuaCvHbpnU9nVVYF_2GesTxIVH_eZ~x8sgb+V<7*Ib~ymT z!>KjBpxABkVbSq4Igz1Cg1TYlr(>XzL1_uBh;}K%ZIk{(zJZM6i zAj!^6n9M<@$S3t0wzHFy2Y@kL@J{9NA;9Q44FGf}2ExN;g3g_vSiY z?mmlE%rl|shA;0uHwCG4Y}d@MLv@QcF6H^T8sqX0vSAtO)h%d9Ugp8cfDhkBI}#2# z$VTgO`Vv~s^V(*$z)=N!X*v`m(8W7qTTh47Vo5H^bzQXsKB4*qlc5PN0w%1q8eovfJ3( z5UcLlZ~>6FQc)83`9X%s;&l7^6a$Ypk~*Hq47C}PLklw|uvE3*3NnQCf4Y_C_v9W7 zJPCEzKuV!SQ8nX%*Hx03bXqGVrxDgO&B`#TLtn=TpOC94EX?hQ2;Pnh_@Aw@?JZ@L zKb8yP4Ssrw#?RYFrMnd80Mci$qk`iNJ+9W5xCk9%P_I!Ki`w0nppmwd9Pij(<~!##GIO?miVyd#UB&@ z8utC##Bm^ZC~aV16K9?-rnWT<2N@`oJZ6@&Uz0dnA*%(syPyY;yp@bHP3$sA*c5Zk zvTA!npg;+4KV!F9`1`e)7b1(`mTIXbuyJv5w)56o3a0mG`=v7NU!xOgH+S4eP7i*f zz-NJtv)yk52S|%QF1LODOr1oCf)QWK&t&7Bd52tU?qwN8NR8#aud><7yV(LwGZ8bz z&u7Ec_00{(L=o_n1Dll5bJ}mAC6ZLAMy0q_D{EXGujal5{^59@_fjgjpqf;eUclRl zpii?|oX<=N_50O@1wWCJn=}NvUts;5)=D;VoX_vk5+WALS{LaLasw5V@uumadLd%p zLt9&A#R*m8Dw4a*Vb}dbiAtr8P|uba24R@MX#(#^(Hxa`bC%*vt$Npr=c;RTz=Q>1(=wg`UL zsW2%du>R%~bLc`DFc!Y($kb>7gy=UvcUKY_mzYrHFhfIlpBWD{hN~#o>fZ=f@mENa zOx=RjGwR6<6WQ0wuUa38ky4R(`ZfOfkrGL#LjGHUI=bFnuDn;u%6&mvT84#m~0ES)v|#hicmW3Rs#9=@oVO-pDpzskI7QB`r>WzM7i zR7DoUV!sbYUC#gH3#q#1A6dzDQ$k}l#n5J7zg9B(APk6w-&II(ZJhm=>zG?;rQZXG lsJ?t}o7VD%l3lh@cT4D$KQwl^61HZI%hBDBrDxWz`41L9L^c2b literal 0 HcmV?d00001 diff --git a/data_application/BMI/filter_onepercent/BMI_elnet.RData b/data_application/BMI/filter_onepercent/BMI_elnet.RData new file mode 100644 index 0000000000000000000000000000000000000000..c22cb899ff8de2c6cedf751dfc35c83c389c259b GIT binary patch literal 7600 zcmW-miC+@f8}3~yr!1{$amEF#rm^xS%`~Q_f=<&|I%)2?LFF{0W+>){3eHqxX= zcse*ce{)Ti>mQcC&RG+E99QCh06D7D%;yfQaAHHCm$v+1b?(8z&HvoC-TmF@uZJA| zN~ui@K0)}VaA0f?6MBL%8Lj=+ZzEyfvxwGDKkrNIXUlW7mFzt6C2u8zPcv1%zuc;f zCy=I~IU*8}PydfghjuZ)^z1(MQ_cTch3%IHT)4)VK}3CoAO`rj{chuSaw^;3@h zM|N)iWV)RTv;AUH@E^Ei)juWa5Gse=DE_X!+w`i%TWOPmZ*DUlC_;`f6s&>tUH*E9v!Cl7{hV`!7W~$z}l2TK%{sA(?U(RuhSi@OvEJu$vXQ2z5pS} zT95|dQMFQn%+VDCKf_SmNyIWaDLjUTfx^oPDCNT&O%iXH^>WkC`eWaO>O)*mu{n)^ zTLHp)&F3%_nUQ+EL6a)&usP(=0zDjeIErggSTbo$k*4sVt0sP>P4yLn0vn1(=xR-2 zSlb5fR#O&Mp6~ozHWpOzh5@c1PFPbvjmb`d%4bp(1idQSnxI1#KhCJ)E@pk8#cHmN zST$(K`rZ6UlBk^*D@_DVG__OOb^UVP>11_e@_&bswLcPoZJPRVg>yLIh<@C?$~kDF zv?5S|dR`IGYl6JcxcWl_ zU6TAsh{EcJ)CuBq0rP~xUMvC~Jb~wa-5M9~MJxk&XQrGnw8+*F&C{ZR>?;9*iIeN5~C65P(4Sy&|f)gYnzvg!%R<*gc zqIT{>f7s(@nQuU3G$h@CRPTaq=^Vx;BB1)Iu?Yq~9NZFH$baaRuD>k|*40X*%G@Zv zpF1^(7Rsc!9e>0qj^o(6Wf3J2hUgQqc}b8^{ewL!+k$cT-~9&zaH-^us$Zf8|8@>? zfCy3X6E(j?ad$cAl@P;;5qYW7E9w+EGa5_z8r%qcsR>Fl$PQ!^jFTF2NXuGcV{I%l zM;)B(^;dDJI~p(L{SyMlE9P?#c{gzs4f8^rIRg&u;?zH5AFSwMhbp2Svk} zE)~@F*d!;$0Ks2N&m~EcK^l1M`Ms<^0 zgZlo6#9vVp7u1gI{S@kAd|uc2a@9_*+41?^Sx}^X^3Ih~o|yo580_FpiVM0jLNxYq zO@L-(6xaEPx5Pc@L|_PYSKw&b@a4M4&Ms|&cMPyA6e}GaQwVSs2(i0IIy8Fl>@co| zdw`a~qVS$DqSnir2y903I{cD*+@ll^1O=4klL1qQ-LSpOi~vNeXCt71-;vfxEr&Jc zveh9y{-gk6wwPz#u;5AySxQj9<&o8iQ{-{=Adl~#y!x)9chdUM3`BeHuJY8KxnoYQa@PpfMuW&Tik?R9tU=;YL} zZFJq%DWG^Mo`_(dVUO~F1KB})%NQH zH=CKNa0v8z#&M5Y-F&%!q<_$`ZGxEq4nq^slf(oc?8fWne;ch6M2!&MHCmUj z!(@-6JqWsXQG+JdwjIE<4FaK)Rfuy(!wntGda2znwF~tR-1M;;9;0s9HC%VHlF?xY zq9%{tm)FaNBuTwsL#`P|V2JhmylL#1M z_G2a}`^&@=#lnHoijs%WN+QoQTo?7e^ue3MHmB$#Af$rPwqLS(Tb+hPjRYJ3X{Bv$ zhrAIGcpctxLs@(7FoX=OmL?Fw>61SN`@Q%c-b z8Y;+&;eA(bEDUWl@`fo2p{Sr%Hq;1fp_Eg@t&+1V+YMt)l}*@03wG{2vJgCo^=G4p zy2a;o&6=-^iR!EmphkxS_1M@jsS-Ph3LECt_bLSagTtj|`(5~g`eEmava*xT@XB^s z(P7nt&}e$2(LGyhfv>JJa2lNs0flR6>#o?W>_0$&O_V&wLdi&w_jzVanVX&^O;n@a z)sR5W9N#5GV=aqY$73pW_cVmqT!MNs{q*DBf$(S$DerJqhrIh`9iC0^SpL`)CoUf$ z^1sFx%bG=m)cS|S2y*Y*z&i$&U|8rF4D(>L zIX6O?8r3r!Cy;j<@?0+Y?K{b-pd?_JXH#`oZcBBB{UKCDHbqwzX$V{8$4c8e$N!vg zyA>)56&+7UpH3~g)}my~0t1{}>plXLs3d42jf6fllA`t=Y!@#i&3;~1*^$QXG=!y#<4>CtS)*kA_kOrLXYZuSqzo5U$SB-x-|F!4k z;M`pW_Nu)F$j->TPeJP>&8sx{V5>)8CeY}4{Ku)s8{Ic_SH z&Mzau1B%^{{KuCsRz zLN>3x>kHb1-ZG0Hg6v*PG7UOuNazc)K%ZDSmX9;-<(O|>JHOfQ9^@b0js>DAc*}{J z2Dd^TX$V%NBVF!!X3x(yO}LA&I0~R2MaTIh#@eDRwxX;w1o@Wlgff!pKFH$Br+$54 z=^1Y`YfX*(c%k&z-?+`OO|&e)TP0`X)(p%q7hV|869-LQEbRZyZPgDb8K0b2rd_nA z`)Ff!Qa@Dw5bTD|wE?!YlSfa+IGcs2zn`t8EtzcUsnz-099>kn=C`8bjcr?xPUd{d z1ob5!xVmQN^AfjtySkG0^lQO1$Ha+mIqY|iy#hH{${&4X`V9J~#VHSig~iQS_=)_B zm0ZQXyUwn#`BY2v9ovHQ9A8=m#}_Ol24gnxE@5uy{1FFn?g*=`r%xgre6Bf&%{KMG zMfNYoVEIG!azBm3Y-?2nYFkS4Op({k60+f7anNCi>G^)F=|0TxTc>qda|t-ddF)V-z0LOH zB{MtEB|5Rd9v#+%xL=g?{Akb70Rll%HVXAJ4B>J)gM+ZRzO2gEU2nO*1a2*7!(DC| z9<1#nX}!iUW(Cy3D^+{-KawEp@=*Fy6XStf&o6C5y2@`M6LJ&5a33%pGLCB?>dixz z?i51ES;wGGwX2ltuwC*!@&iiFWsEwj?wf=HsM6~6Wxtd8aeZCJR2oG&Do`ZEj6=o; z*KEeJzr|&q6Pmff8oGX2LnwQ{>B@#a$=$$PP@6JN2@$W4 z;_S__dEz3}Tg@OFg5*Dq&Urpbb8q>Un3m64yTbvQsGw6CQ>97pHE+&37MJbcH^a|j z0Jt~lrf<6LNZ=*~rg;5zX^utT4tZz?$Lj~jW$Kx3`Y+nOeOdbbDq((c&KHy5z-pV4 zij)oRIi=gYq)w;sgXZgMdyng|g5qAp#_JfT8@UQ^%x23(qw9w6w4qBLn-t<(4ET?@ z_zm{@olHx?S*rND*=xZmJ5aC+%%VJ2dX*P}?D&>-RkJLjJ{hK*`+7T!FO_<%vgGRK$nKK!#$mSUZgdHPJ*6g zJx#T8kh3-}h?5R^?k3(Csuz#8uYNa2FS^2^Q?0jU?2*J=>bb*@PmKMc#Pjb#)wY^G zCmh^q!*99JJscSlRjAhl=TGJs1yHy3ljbgGTdVe)SwUuDpG5}rU+IqWGOcAf(U&aG zW2ez9u85ugH6g3A%8hjc9@TyqS?^ab^o??M$U%#xU8*C)Xlsj`-cIvu-&$%<5x;oN z;kW!nU?zHB9?WeeGkq_n`6f%}NDsfqaffUItGmfRJ5o#t8Ba+TqTDw2v3q>@kP5}G zLbd#*C~byqD4*GH58N(8F-+xPY?1z7jYD`o(|aC93!s0fTXj=d{p%h1&35(ItRH9N58PGVs2Reof&aSZV~ct=pXySwpd5MS zLeT!HjI-4^=LH>0rR~E2zr``rP2*`kRi9nwK?@e17gY(S`(U2NNfR3_|7Y4Ks%Ig+ zraPad4p>%Q!oX*o&hvMw#aq?IvixuNj8Xu0oD36g*C{*NarS;+7lmis?6Sw!m4#K4 z<^2$K<@fI2XFe2J3i1M&+I!=fpyDnwee&C#`Ni&LieBa3FG^ATf%jiwlq=qcNz!rhe3Q6 z-7;lbJ3o-sOA^+ud44e&rTuPi>nN?0oFwP1mFumnczDSvrxxr7Nz>nO&%q_L=L3=D zu%lY@KD-irKG|ldb0EAst?#7yK10ckmzLLzyGnbM4he#_V9A5V)L+4!K-*L5w`q>* z%mxRaB@JuibuD|>IaCY#Ji;`yL%-Fd`k>9nrhOB}43j!8hyo8FSuEuRESFBum>YW) znZzOfeA<}xe$JqAQetz+=tH?tOdrMPToJQg>EbL>T&xn`yN#DoR33*NzjEpyv_vv; zh6lV%f1q36ljw6oCbMo7gYtLsH474lV4C^wOHmr{8u?7EvbP&}!FoHd5`fdjU694K z$-VI!72SlJ7rwv6ER1P)A%14ti)FVSY9Oogy4l$O>RakBhqo1)h zV?V{XWD=5Uni=?pv14IN#^)^6H&^m3K3l)AxQ!~#9L_IRtb6CjrZTe!d9;zLqFbuJ zeI=HrWPM79?B`il_F+}dPoX@0nLFU5`rz<8?Z4|Flr2^B5 zwnWaPDm!m>|6-(~WsiEoqwoCYI}-d`PR@1H8xC&Dr2Yl{S#O(A+LRB*PJ0vJC@6kr zk0#w?oLsSFd2C9DB+YOh(9+DN{lMfv)88c_TavsU*senvk6FsY#G`{Y$J!R$)*rgi zp{)X3=o|E36a_h9R4)!XR?M893jb&o!Wl(!9q1=l$w!|sB|FTV2CdcOImg7hOeu%n zf*B;44^?^IT7AlXbDZjI3f{`n>H@DChv1w$PuUBa|A5<-)H9lrSdF(EzrG>uLJO%uY}Z+IqTgyC3v?z(3-4|k#(F*9)uD34S=TQ5jHAk^kDsEg z$22{!7Sw3gDDPdN1{#*nu( zkdKJjlRuUdBJe8c#%|FE>7jQDC7ZPeyEr#|H)o@Liy>_1hfku|Z?bwM9tn`Z4}ME%4*+fr?XJ%GoL@s*KwI%Ds2#Ulg2aP(_wyQ0{X~zM zPbST*Qe$=73%+@~;z!1-vHbsW&Sr~p@M|V!s~m2PS4n(4+4E(0H0N7;$jKQh+9|V<5~}XZEM* z2u=9_Xi_ECo8;s-Ox@mT>QoH^>{t&1(ONFsJcK3z71!5Ej##8~Tsj8Vn?)Nb%lv*E z-LKW{E#Z!Hyv_f^6m(j+NBkL-H@1Z4ST*PIAEB(KZqq)&hJoi$k6F;B zGZ<22W7jU_%!$ppsy7!|Tz!I9 z%b4oTYR-O1>K(fE@4=;afdRb-6=W~Rd5m?dc|#R;HMf?X9K*q;@R{aDz_u5qx~r1Y z=Okpzlx8je1y`&GbSGn)OHSq&ad*t(CCHg&b9bB0q4n2DYP0#3xX!dMejp!t844mm zLpHIraR^8sz;XDDr!Q4W@ydbiS$Ponih`+|zbG(7X{$aTb<7mg*`DSSi}OE!OWWBb zk9cUq%9K0!_(Rq&FVMHbE7td-f$t<$CNV}me0I5K=-WMYU>l2Cn z_X8CN;YRPe zX@*t}-E3#DuGwg{c>rwD7s2 z$k?t7w$j;Iw`kXC{F4Yb*1XPXIgdLu{mxF(*5>X9BdO%l`Rf+(0J)>3EK8j&V$NdtV>O?=J&NYzjwXzj7x z)a9-tOo$wpj!|;j{$w*<49qQ%>tEYzXzgkgT|j$qGKgf&8CCXa!x;yyA_P%G*?! z_{(RFx}s~aTt*ei3$Bw7?thaRzSdZP`2|k9rJWEJl%jcq0FUO$DJQ!2Q}N5{#ueU_ zy`lQP3`kswH>|!)!=T>(y_=oaUtRF=vBBpS9hRZjK&Hb=>8U{I%4nun43inm(e{nq z8Ucqe2i2wC^0i*xZuIoPM+yx6qNDzlQsT)=BmHFJcuZZq5RxC2HU6qv|IIg&?CG!A|u% zB8eetH8IqPQu^zH<1=2|AWrO@AGnuKpi!77T`7KWLQdA__AQXhGmn}8x&&`P5s;QD zQbrzWQ7EQYroO^LggL8ERW5pLnzC_4770Ge-zFi5_-{%3`J&W`m%FK|8$q$C;rfyW zUfz_F@-h2a2d6)c+RMS@2`zV{rO#*vwY&!$tm22#WYjl-5K0G;);rgf>5_XU8OMYn z+0WhRcty5Yg%*+^U5&4?UcD$}OEaOI_q{s`Lv_ii-b$n-uytL=anZAsIuN1G-GF6frOgK%Q(zP^Eln3r7f|{>&Bh zAc!K#5D>anRjkN`T%|w4>0YrI9GC3ny3c6oCqL(097Mg$bTN+F2v;F8fnQ)RymYzDY<(f?)V3V&X&o!9Zxp4}p+JNCJrl-b;c& zX-Ppc5=@AY1W;)WmFTGG3|6#aJ5*DJmN8l!D0OUk4wR`KEY;Bt5EW@LMU*KNg~CYN zm&yL*?tPnk-~HYDa=w}8;oR)*IeYf(*|U51T3)y$BXLQhBuOz+Ok9){6C3=e6uYRh zI4wt#`a}nrD5;N>5Tpt9O^sExD;gT=B`JDv@Iid=H=whCcd3Mt)U84+D%@2l|D7*e zQV;sS3RVvCqrT0*C~1P$a^be4##;?Fd1l+kEO|!ZwB5~y+w}(k+z7kZ53O?a%H!1& zHNJ?dmr;b!*xIJz~jaEqR1!)d<<000000000u15x)iqU^`bK2HFIhu&g; zv-Z!T%o{a`rjJ$7``*Xsd8SsJ z00000!U3#v01+UHABv&}KpX5nAJBU4YW6)vv(9_smTxb{!_U1_1?d- z>YkWhxn{km2v?q2#9uzFpH6gvR`0PA6QTyaa@0CCh_nDyPIsNa7wZ1uU0UG>%KS#|GDYdx*J z)^_yDH`<>kU ztL3Pnw~qq=;3Vvh12B)Y!EN!_u64?3nEn4>F}r=EuzUX7HNL&YKiv+i&Lv@-0085N zlzpSxeIujypRE3V#IE@0^mj03-$S$eUYlOneSg-df17pRP}K3@K{UT`YQBmx9smG9 z9d^Z8(c*$=`dAIO?4z}=Yg+H&Th)%<`dafHtMxJZeS;eG=7DzU$7@%u9ld(;+A%6m zFZ9k2wRZH{Lu-4ycD0t*T0dO-@SYo;*GB(t)_m1F&Q{G2qx(jq^7P6TJ?}6(zF56a z)eEcRs8K%@)oy0X4|m>}eJ){i-s)}F?DbqL%=TBkFuI=E?SE#~v$|cg@?TziR_Fgt z!z#Va8dtOOXSI4-;q?4*I`1;N|BMuf((iENS-9(a zxuV1Bemix(XSV!Eg{b+I-gd3ZC(YKwEcr&^w0sP!&NLH}QR1vw^G$0#v+DE8 zo9#DNpAR@aPwhI#5q%zswtlG9GwSD}p4&T}SA@Gyw%e~ngH>_dXnO#F7TD!iZaF8@ zE8lH)bQ*5mpX-Ha`t(+aHVzOsy5Mv?u={;Jz!;o*U*`69M3Dmk0001h9e{Ps8h~8^ zfZhkI?xoosPa@@f(J9z{-&ReoQ|;I#C*1eAR>`xfUZlb8=Zbcnv$^Fw&#m&Eg35Tr4yYU+ZdfAH7&cvbMXIQaW-kQ3(>;nE_xTDzGhstvz@+};npi<>MxMhk0$l+l0A`)1rmuGa;um6yp8GHjbWwko0B<=e zSAqBnRIUP*TNJ=u4P^&v$6~AxmV?@>l$B@e_aXIJKPZ!xBmP9}bf*-uyh6TDra$#3 z;zvEpXZ#?B)DP`%Z2yK}hWJT3qSF!0gQ75d`&cstX60cr>Pt76`xa(<*g zGcS<5n~DCsxQ6Ah{)Od|{z;+bv*U}#O(7rmPfb3S%aeor*y}^Q!roY7NPpqQS+?8& zQqIHZi~R}fjrHZtbDp0gJyqh)K%xg8KOCod`f$e)J?Hrmwkw{W*q-w797*)?Ad1J8 zT`zFl!0X0LMsIfg;MtY+JFXvi5yj5~NPqO4tRI-7=asVlvGynPmDqm@(@%CB*!7<0 z7ue2~&E4e?Weh+;p* z@kLc%Mo+SiAf6q6q&G)T8VBU-u5$gx_9W{Zs~2vkxqCY#-yn8i@-_AK9+gv>uM+F0 z=}bF{_`tNQ<{xAp$@JytSL}KlI!_vm8O6Gd^=IP+ZkLT`s`_KvEbk8+2P%5(UmWQl zyWW#Hgs9)!y&km-_9MkULMHbnQa&9~-hAh+$83J>!?d}(9HsrW##eq)hxR8LZ{+iU_!Suk zcApnIzvss@dHXbfO+pm!?-cnwlBdXDbjfAQsqs`#tXBcj1J4`Y_=KK!+T$s+4od9) z3D@sAUrfRbcmJg3e_G=)UjLZ=lGJm4o2bx_9e*#P*xriu%8RJ1UFG>i&+C-le4M`@ zXXgoT9C3e9KRE4DzhTFXYmY$p`qYncoMP=fAJyl@Z+Sk*-KUedhvzfa7w1=Oo=yA? z@x=cSRa;LLaome&po{h#zt!g>o9D^xO7~;wh_ZH7^s_m1KiE8y(Vxk0slC~KI<`C3 zhwNuL{nI+H*>f;_9@6u^h2|%0-qiDX6+2ETivA`c%I-tb5yj(>%gDv!QP3>cLv6if z{Y)`ln0mXYAJae=C3ZsfDltWWmya*muPFM*&VO>=gY`$e);vsc?iE^JiI;C`+Xtw{ z%~Z^2J`cw6#EU7C&(1TPm$UIiYksIT&+?<^<>)z+Z*j(%pKq||P^#x6Sic_I=jBDp z^MrIp57wS+o!c#Dm6ap=0W$vFa|Xm0AfBBMit*;jN4yX5elMZ{ z)E}9CeEahJU;dsa$~!x7cH)WO%_aQw!oIDdAKt#S?73ZppVT(+#jHQSLi@LOXCQCX2EvayQgGwQ@p}lLes9fY->)YVJ}Wxm z!&=WW!h3S-TQ6TqA^f=3DU}_^X!(pAgMRj>@17@oN#B3R_fO8E<8kb2yYEUPEq`I# zy~$~?&RwJZ8Mx>#Wm_|-eFwJvap|cO)E}~5*!R@)A5;GtIsDx2jORYvG19a+0=hCUwgFQ&y#6?(vs`{e&?D7I=&ry=EOfw<;`2NEbk{B zQ)&Iu`>x$Mb)51$a+l>^KSTIw=XNz*jH{sj^;)#=krUng`FwQ!{kz9g{icn0>+!lK z!cTrPt^CsQ&D1^z5}ti*{}RHNzVyot+aJ3`c<=gct7b2GnDDpU{7n0rlxL~EW=@`$ zRGQk&{y$#)hm#`+U%dP7PjCI^2(@R{^1?M$G@i_x^N-kd`8#R-Ez_=_8u}^Wr_MOC zcIm=SUpTcuV%`0Zn`V%g_ zQ&LRrF@5XPO)Vd1(*6$ovL*E(v2Xt6wjmFmnb*c#JBVGoqOQ7g5_BpWj~>RaZK|tU zSzq6X__(_2#?|$!5SQ4{xMF2h&DvGfn`BRdzuIc_WWf6BhNjxahN^p3*EdwJMNboI oYZ`*j>Kbsd__B(ks=DeGxIkPdAN*_Qy@%lM|Lq`dlzlM)019?Ww*UYD literal 0 HcmV?d00001 diff --git a/data_application/BMI/filter_onepercent/BMI_rf.RData b/data_application/BMI/filter_onepercent/BMI_rf.RData new file mode 100644 index 0000000000000000000000000000000000000000..8e57fa925b7b52d96f4d25d609ee23ca0ef69000 GIT binary patch literal 4291 zcmXYxi9gega)>6GvZ^7UlZ4es&!^S_~n zo3}!Wiaqc~yWflACbl{8-Vcps*5WM0`O$Q1Rel)XQuno;7^FPjO)4iP1zgM3JTW8R!%dlJE z)%(7n0`hz;Hu-vvHYgPx(Mgu)jL%ELToId!riABMS=OoWZA3~hI(t*De(l-|5ea^) zw9)HKlTl-?G5A_^YrvraT1i*loP@x3X@OZ$blMH!y_mnjqYY&PlAr;;oCE6Mu)RrE z8UtJh12PBe-jmh~Snl-f0&(SYt4%K&F7HGG&V&^Yo-5*)I%ye=Q0@&JJCt-zc)M)n z)mzOApImFE-{uiZWaR-RyuLWkT1UeCJJXV(i_)mC#E+M;v>9*2cZV8rxl7BU?8-b4 zidgkds58oq4i8NH>QY3{K$49h|1}*>*Jd*cj%;;>(~hEWv?{7H}vY20j1s1&+gtM7=W?GfaG} zj8x=%hY$dWW`EQ6g+`eW)F{?LpsWuIlha{3b%rkVFv3uu`2ndB!GC&qpa)?UTYa^T z;t_laPRwOhagg5fj4$SuoclXn$#0{m|8LTAiUgjr*L9bQf;=(%(uCLN%mkl3=_gqPzQTO~{JRrbIh`$UK|npKkY6zDqb1VMeWKeHyj&^O=~Ar8 zkdpis@5^%z$g@Z}weXn9c^!lWzP5|BJnsjmiYq}4{ z`zt`FD+!v^SKfS?Mll%zcjT&De zus%Rk<(y>fAvX<@ZW(P_1 z;C7n{_w68XKKAzLyDJ=r*RD!qQ~OX>B%p;WGN=G{liD(e@vH)AzPZnZmv};3h@rb^ zS-N)dCe;j;|NdWaR5^2URgp0Qz)8y|8##M}n7)~@^m$>zz?aH_=%eUXB(;YG_>rdT z`l3p`#hOq1$=?rus4n(RsEctTH2150^P;#jaWdL4nwVa!*kFiI^!jg<~pD-7_ z@}4m{Is~r1JC%OX3yabs&>U;Ed+9*=RHOS!mOCzcO5c6<+h*9vp^}9}!agTZBfoxO zk;MnDSA;Mgu6-WBjHN~p=sF!#J`)vp0Sy%pVsm@wV?D&Flsgzf^x@^GSR*Tq!`zl~ zfmauDNAHYRUPSpbZ)PHVHO({87xh~Ochn4%86a~eFIB)`j&k9)?qvD@AO5I6^`wK= zery>CoFe~`B9GOde6)^rdKqVE%n*c1UcKJ>=!bwAEDB!*0iYZ0)QaYdj)Z#L0? z$a5Cd=szKMH6vm7`@y!Fs>Qs!13P z?A7mCe^X6QF&|U#fVutbnhjfNvvuybf~KIB3--pjxDTSua=n64rC>O3VXW7OzjxkW zgU6r|>U(&h2xGU!OIe1dJvvlZfzC{MTgG4c!LTFOpbyeQG?>m+_NljD=>z3@rg&sB z&K6UsIFULb`JlszTPnw+ zk>%YIi~9lUNZ@Wzj34NErK(k=NbObU?M@iqmYYO7Vw+OG<{QlVG(m!mCY1X3LPI|n zO>ISMujy1fQk9W=h)*$1@CmEhxFQwPV1{0T@+seqpN>2a-QsTRNC~zx5SAY8Y?P20 z^28LyRHPpNqus;Akob|l2efKE#EYkl+m2yezOGHkOzFB3W!#!WKXnsr8WTFJFag`})jAa^Z2vkC z!|KDnZXM2xkjGLd%428M2`Z?lsZ)5T+wwT}`0Pce8Qd=C&bZsQvr&GY)D2lv+MQeU zfV^e>2_M+z5`)f4Vf`r))|kK{5C?XFEn}jA|0Ny5c)68JYp_(qwGi zl~z3H_|krBjm5C8@MN71l$C3Z)pBBokj-0H7?CkRsG&IL=rHT{%$a^LCm#Jb`Z-5m zWbx_D{0m@vzwWegr@f$g3HAqGC#Bs7<8nkJDQbf_I?3A<>Nf2B*m4BOfqo1N0l%s+ zbjyz@py{Y5g{Vz~h$A@z_(;1AYyh>3ig)wZikz1Alqgd$o)@G`w!7G^Yi!_BvRNHo z%@xr3160kl*<&oP(#tP4VqkA59Uc|z@z|`m`w?w@O^^X3JaFw+{|QbO=IdtT3Y6jI zYQ{jq>W=sr`@Xf)72buaCFyV9!W>mOSLp24CbWJnV|h|BpLQq7}^PsBPOsy zKxe|nivXl4sM>JFG9P=xmzZ;)@hA2DDRUw%OP!6*hSpw3zOD8zR8c?v{}K_blbeQr~i}0 z40nC1XpvPewymyKC3uQ$h3mRVg^^@1C(?O0x~M{2uO6aK$d7?N zgNCof;Fq_cyv>I$#>@%g8)>1F>nN(`Y;_qKy<6~}wVBoMX+ozJub6*R5yTg%34B-$ ze92!9<^uJ^WJBx`Bu%N*RNbV^e?LA&;*E_S|DdoL!*9s`GkNs$IXs^+5rOu;a*!&f z;1`XCR(vTm9{@>K<~K_vBT%hHyK0#$zew9c8GAzvtUss=!APXeBC)DwrkEsD5xOkq zhD_3EC3Gy}ny9;jCUa25e#?vk@vz=_Iw_SVot=x4%IQ{A#UbtC=X5B9)9?fb`H7`{ zZXZQ7rb9h*7pT$qnOFQ-jI67a_SHW2{22tZj|H-NProlC|Da(S;>MBiu)&NS`V6A(!@h}}2A6(C z8Bh}#NFrAB@+_A0bt*?5?GPv~>)S53g^%H1UIz~;Z}C}NMN0L}h?%!etvHHMG^YtS zF6r{B!?DBG%{x+zj7PtYZ64#%b9&pIjEHka_&N5AmtkNvwp9AsWBKx7v35)T7z|Ru~$-i_@v9Lp+xai0R0J<+wlv|gfx$bDcXQw9j;?q6>DT|fRhzrJ9%t_7 cL)&He)J2#9cg5bH1@V-^m;4Wg<&0T*E43hX&L&p$$qDprKhvt+--jT7}7np#A3 zem<@ulZcFPQ@L2!n>{z**++&mCkOWA81W14cNZlEfg7;MkzE(HCqgga^y>{tEnwC%0;vJ&^%eQ zLs35+`xjp>T0 0) >= 0.01] +x[x == 0] <- 0.5 +x <- x/rowSums(x) # relative abundance +taxa <- log(x) +print(paste('number of features:', dim(taxa)[2], sep=':')) + +# # metadata +mf <- read.csv("../data_application/88soils/88soils_modified_metadata.txt", sep='\t', row.names=1) +y <- mf$ph[match(rownames(count), rownames(mf))] +print(paste('number of samples:', length(y), sep=':')) + +# save processed data +save(y, taxa, file='../data_application/88soils/soil_ph.RData') + + +#################################### +## compositional lasso ############# +# #################################### +print('compLasso') +out_compLasso = boot_stab(num_boot = 100, method = 'compLasso', + dat_file = '../data_application/88soils/soils_ph.RData') + +save(out_compLasso, file=paste0(dir, '/soils_ph_compLasso.RData')) + +############################################################# +# Lasso with glmnet default lambda sequence ############# +############################################################# +print('Lasso') +out_lasso = boot_stab(num_boot = 100, method = 'lasso', lambda.grid = NULL, + dat_file = '../data_application/88soils/soils_ph.RData') + +save(out_lasso, file=paste0(dir, '/soils_ph_lasso.RData', sep='')) + + +# ############################################################## +# ## Elastic Net with self defined lambda (NULL not allowed) ############# +# ############################################################## +print('Elnet') +out_elnet = boot_stab(num_boot = 100, method = 'elnet', + dat_file = '../data_application/88soils/soils_ph.RData') + +save(out_elnet, file=paste0(dir, '/soils_ph_elnet.RData', sep='')) + + +############################################################## +## Random Forest with Altman feature selection ############# +############################################################## +print('RF') +out_rf = boot_stab(num_boot = 100, method = 'RF', method.perm='altmann', mtry.grid=seq(30, 60, 5), + dat_file = '../data_application/88soils/soils_ph.RData') + +save(out_rf, file=paste0(dir, '/soils_ph_rf.RData', sep='')) + +######################################################################## +############### double bootstrap: random forest ################## +# ###################################################################### +print('double boot RF') +boot_rf = boot_stab_data(num_boot=100, method = 'RF', + data_file='../data_application/88soils/soils_ph.RData') +save(boot_rf, file=paste0(dir, '/soils_ph_boot_rf.RData')) + +######################################################################## +############### double bootstrap: compositional lasso ################## +# ###################################################################### +print('double boot compLasso') +boot_compLasso = boot_stab_data(num_boot=100, method = 'compLasso', + data_file='../data_application/88soils/soils_ph.RData') +save(boot_compLasso, file=paste0(dir, '/soils_ph_boot_compLasso.RData')) + + + + + + + + + + diff --git a/data_application/code_applications/BMI_stab_application.R b/data_application/code_applications/BMI_stab_application.R new file mode 100644 index 0000000..fc4f01d --- /dev/null +++ b/data_application/code_applications/BMI_stab_application.R @@ -0,0 +1,105 @@ +######################################################################################################### +### This is to estimate stablity & MSE using bootstrap on BMI_Lin_2014 dataset ################# +######################################################################################################### + +args = commandArgs(trailingOnly=TRUE) +print(args) +dir = args[1] + +source('cv_method.R') +source('getStability.R') +source('stab_data_applications.R') +source('bootstrap_test_compLasso_rf.R') + +##################################### +##### data preparation ############## +##################################### +count <- as.matrix(read.table("../../code_Lin/cvs/data/combo_count_tab.txt")) + +# filter 1% + add pesudo count +depth <- sapply(strsplit(colnames(count), "\\."), length) +x <- count[, depth == 6 & colMeans(count > 0) >= 0.01] +x[x == 0] <- 0.5 +x <- x/rowSums(x) # relative abundance +taxa <- log(x) +print(paste('number of features:', dim(taxa)[2], sep=':')) + +# metadata +demo <- read.delim("../../code_Lin/cvs/data/demographic.txt") +y <- demo$bmi[match(rownames(count), demo$pid)] +print(paste('number of samples:', length(y), sep=':')) + +# save processed data +save(y, taxa, file='../data_application/BMI/BMI_Lin_2014.RData') + +# #################################### +# ## compositional lasso ############# +# #################################### +print('compLasso') +out_compLasso = boot_stab(num_boot = 100, method = 'compLasso', + dat_file = '../data_application/BMI/BMI_Lin_2014.RData') + +save(out_compLasso, file=paste0(dir, '/BMI_compLasso.RData')) + +############################################################## +## Lasso with glmnet default lambda sequence ############# +############################################################## +print('Lasso') +out_lasso = boot_stab(num_boot = 100, method = 'lasso', lambda.grid = NULL, + dat_file = '../data_application/BMI/BMI_Lin_2014.RData') + +save(out_lasso, file=paste0(dir, '/BMI_lasso.RData', sep='')) + + +# ############################################################## +# ## Elastic Net with self defined lambda (NULL not allowed) ############# +# ############################################################## +print('Elnet') +out_elnet = boot_stab(num_boot = 100, method = 'elnet', + dat_file = '../data_application/BMI/BMI_Lin_2014.RData') + +save(out_elnet, file=paste0(dir, '/BMI_elnet.RData', sep='')) + + +# ############################################################## +# ## Random Forest with Altman feature selection ############# +# ############################################################## +print('RF') +out_rf = boot_stab(num_boot = 100, method = 'RF', method.perm='altmann', + dat_file = '../data_application/BMI/BMI_Lin_2014.RData') + +save(out_rf, file=paste0(dir, '/BMI_rf.RData', sep='')) + + +############################################################# +# Random Forest with Janitza feature selection ############# +############################################################# +print("RF_JNT") +dir = '../data_application' +out_rf_jnt= boot_stab(num_boot = 100, method = 'RF', method.perm='janitza', + dat_file = '../data_application/BMI_Lin_2014.RData') + +save(out_rf_jnt, file=paste0(dir, '/BMI_rf_jnt.RData', sep='')) + + +######################################################################## +############### double bootstrap: random forest ################## +# ###################################################################### +print('double boot RF') +boot_rf = boot_stab_data(num_boot=100, method = 'RF', + data_file='../data_application/BMI_Lin_2014.RData') +save(boot_rf, file=paste0(dir, '/BMI_boot_rf.RData')) + +######################################################################## +############### double bootstrap: compositional lasso ################## +# ###################################################################### +print('double boot compLasso') +boot_compLasso = boot_stab_data(num_boot=100, method = 'compLasso', + data_file='../data_application/BMI_Lin_2014.RData') +save(boot_compLasso, file=paste0(dir, '/BMI_boot_compLasso.RData')) + + + + + + diff --git a/data_application/code_applications/data_processing.R b/data_application/code_applications/data_processing.R new file mode 100644 index 0000000..f6db1a0 --- /dev/null +++ b/data_application/code_applications/data_processing.R @@ -0,0 +1,42 @@ +############################################################################################################### +######## save Python output into R rdata file to speed up reading OTU files ######## ######## ######## ######## +############################################################################################################### + + +# ################################ +# ## 88 soils #################### +# ################################ + +# soil_otu = as.matrix(read.csv("../data_application/88soils/88soils_genus_table.txt", sep='\t', row.names=1)) +# save(soil_otu, file='../data_application/88soils/88soils_genus_table.RData') + +# ################################ +# ## oral age #################### +# ################################ + +# oral_otu = as.matrix(read.csv("../data_application/oral/oral_genus_table.txt", sep='\t', row.names=1)) +# save(oral_otu, file='../data_application/oral/oral_genus_table.RData') + +# ################################ +# ## central park ################ +# ################################ + +# park_otu = as.matrix(read.csv("../data_application/centralPark/soi_centralPark_genus_table.txt", sep='\t', row.names=1)) +# save(park_otu, file='../data_application/centralPark/soi_centralPark_genus_table.RData') + + +# ################################ +# ## Vitamin D #################### +# ################################ + +# vit_otu = as.matrix(read.csv("../data_application/vitaminD/vitaminD_genus_table.txt", sep='\t', row.names=1)) +# save(vit_otu, file='../data_application/vitaminD/vitaminD_genus_table.RData') + +################################ +## skin age #################### +################################ + +# skin_otu = as.matrix(read.csv("../data_application/skin/skin_genus_table.txt", sep='\t', row.names=1)) +# save(skin_otu, file='../data_application/skin/skin_genus_table.RData') + + diff --git a/data_application/code_applications/run_88soils.sh b/data_application/code_applications/run_88soils.sh new file mode 100755 index 0000000..651c903 --- /dev/null +++ b/data_application/code_applications/run_88soils.sh @@ -0,0 +1,27 @@ +#!/bin/bash + +#PBS -N 88soils_ph +#PBS -l walltime=100:00:00 +#PBS -l nodes=1:ppn=8 +#PBS -l mem=10gb +#PBS -V +#PBS -j oe +#PBS -d . + +set -e +cpus=$PBS_NUM_PPN + +export TMPDIR=/panfs/panfs1.ucsd.edu/panscratch/$USER/Stability_2020 +[ ! -d $TMPDIR ] && mkdir $TMPDIR +export TMPDIR=$TMPDIR/data_applications +[ ! -d $TMPDIR ] && mkdir $TMPDIR +#tmp=$(mktemp -d --tmpdir) +#export TMPDIR=$tmp +#trap "rm -r $tmp; unset TMPDIR" EXIT + +# do something +source activate r-c-env +Rscript 88soils_stab_application.R $TMPDIR +source deactivate r-c-env + +#mv $tmp/outdir ./outdir diff --git a/data_application/code_applications/run_BMI.sh b/data_application/code_applications/run_BMI.sh new file mode 100755 index 0000000..8b5995b --- /dev/null +++ b/data_application/code_applications/run_BMI.sh @@ -0,0 +1,27 @@ +#!/bin/bash + +#PBS -N BMI_stab +#PBS -l walltime=100:00:00 +#PBS -l nodes=1:ppn=8 +#PBS -l mem=10gb +#PBS -V +#PBS -j oe +#PBS -d . + +set -e +cpus=$PBS_NUM_PPN + +export TMPDIR=/panfs/panfs1.ucsd.edu/panscratch/$USER/Stability_2020 +[ ! -d $TMPDIR ] && mkdir $TMPDIR +export TMPDIR=$TMPDIR/data_applications +[ ! -d $TMPDIR ] && mkdir $TMPDIR +#tmp=$(mktemp -d --tmpdir) +#export TMPDIR=$tmp +#trap "rm -r $tmp; unset TMPDIR" EXIT + +# do something +source activate r-c-env +Rscript BMI_stab_application.R $TMPDIR +source deactivate r-c-env + +#mv $tmp/outdir ./outdir diff --git a/data_application/code_applications/run_data_applications.sh b/data_application/code_applications/run_data_applications.sh new file mode 100755 index 0000000..fcc4b23 --- /dev/null +++ b/data_application/code_applications/run_data_applications.sh @@ -0,0 +1,29 @@ +#!/bin/bash + +#PBS -N data_applications +#PBS -l walltime=50:00:00 +#PBS -l nodes=1:ppn=8 +#PBS -l mem=10gb +#PBS -V +#PBS -j oe +#PBS -d . + +set -e +cpus=$PBS_NUM_PPN + +export TMPDIR=/panfs/panfs1.ucsd.edu/panscratch/$USER/Stability_2020 +[ ! -d $TMPDIR ] && mkdir $TMPDIR +export TMPDIR=$TMPDIR/data_applications +[ ! -d $TMPDIR ] && mkdir $TMPDIR +#tmp=$(mktemp -d --tmpdir) +#export TMPDIR=$tmp +#trap "rm -r $tmp; unset TMPDIR" EXIT + +# do something +source activate r-c-env +Rscript BMI_stab_application.R $TMPDIR +Rscript 88soils_stab_application.R $TMPDIR +Rscript data_processing.R $TMPDIR +source deactivate r-c-env + +#mv $tmp/outdir ./outdir diff --git a/data_application/notebooks_application/.DS_Store b/data_application/notebooks_application/.DS_Store new file mode 100644 index 0000000000000000000000000000000000000000..5008ddfcf53c02e82d7eee2e57c38e5672ef89f6 GIT binary patch literal 6148 zcmeH~Jr2S!425mzP>H1@V-^m;4Wg<&0T*E43hX&L&p$$qDprKhvt+--jT7}7np#A3 zem<@ulZcFPQ@L2!n>{z**++&mCkOWA81W14cNZlEfg7;MkzE(HCqgga^y>{tEnwC%0;vJ&^%eQ zLs35+`xjp>T0\n", + "\t

  • 20
    • \n", + "\t
  • 4
    • \n", + "\n" + ], + "text/latex": [ + "\\begin{enumerate*}\n", + "\\item 20\n", + "\\item 4\n", + "\\end{enumerate*}\n" + ], + "text/markdown": [ + "1. 20\n", + "2. 4\n", + "\n", + "\n" + ], + "text/plain": [ + "[1] 20 4" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "table = rbind(bmi_gut, soil_park, soil_88, oral_age, skin_age)\n", + "dim(table)" + ] + }, + { + "cell_type": "code", + "execution_count": 43, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", + "\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\n", + "
    datasetmethodmsestability
    bmi_gut lasso 24.07 0.14
    bmi_gut elent 25.33 0.23
    bmi_gut rf 4.99 0.02
    bmi_gut compLasso21.59 0.22
    soil_parklasso 0.15 0.23
    soil_parkelent 0.12 0.27
    \n" + ], + "text/latex": [ + "\\begin{tabular}{r|llll}\n", + " dataset & method & mse & stability\\\\\n", + "\\hline\n", + "\t bmi\\_gut & lasso & 24.07 & 0.14 \\\\\n", + "\t bmi\\_gut & elent & 25.33 & 0.23 \\\\\n", + "\t bmi\\_gut & rf & 4.99 & 0.02 \\\\\n", + "\t bmi\\_gut & compLasso & 21.59 & 0.22 \\\\\n", + "\t soil\\_park & lasso & 0.15 & 0.23 \\\\\n", + "\t soil\\_park & elent & 0.12 & 0.27 \\\\\n", + "\\end{tabular}\n" + ], + "text/markdown": [ + "\n", + "| dataset | method | mse | stability |\n", + "|---|---|---|---|\n", + "| bmi_gut | lasso | 24.07 | 0.14 |\n", + "| bmi_gut | elent | 25.33 | 0.23 |\n", + "| bmi_gut | rf | 4.99 | 0.02 |\n", + "| bmi_gut | compLasso | 21.59 | 0.22 |\n", + "| soil_park | lasso | 0.15 | 0.23 |\n", + "| soil_park | elent | 0.12 | 0.27 |\n", + "\n" + ], + "text/plain": [ + " dataset method mse stability\n", + "1 bmi_gut lasso 24.07 0.14 \n", + "2 bmi_gut elent 25.33 0.23 \n", + "3 bmi_gut rf 4.99 0.02 \n", + "4 bmi_gut compLasso 21.59 0.22 \n", + "5 soil_park lasso 0.15 0.23 \n", + "6 soil_park elent 0.12 0.27 " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "head(table)" + ] + }, + { + "cell_type": "code", + "execution_count": 45, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + " dataset method mse stability \n", + " bmi_gut :4 compLasso:5 Min. : 0.0500 Min. :0.020 \n", + " soil_park:4 elent :5 1st Qu.: 0.2525 1st Qu.:0.170 \n", + " soil_88 :4 lasso :5 Median :12.9250 Median :0.230 \n", + " oral_age :4 rf :5 Mean :26.8095 Mean :0.248 \n", + " skin_age :4 3rd Qu.:43.7300 3rd Qu.:0.315 \n", + " Max. :98.2900 Max. :0.490 " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "summary(table)" + ] + }, + { + "cell_type": "code", + "execution_count": 47, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "iVBORw0KGgoAAAANSUhEUgAAA0gAAAHgCAYAAACfN01xAAAEGWlDQ1BrQ0dDb2xvclNwYWNl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", + "text/plain": [ + "plot without title" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "options(repr.plot.width=7, repr.plot.height=4)\n", + "\n", + "ggscatter(table, x = \"stability\", y = \"mse\",\n", + " color = \"dataset\", \n", + " label = \"method\", repel = TRUE) +\n", + " theme(plot.title = element_text(hjust = 0.5, size=12, face=\"bold.italic\"), \n", + " axis.title.x = element_text(size=10, face=\"bold\"),\n", + " axis.title.y = element_text(size=10, face=\"bold\"),\n", + " legend.position='right',\n", + " panel.background = element_blank(), axis.line = element_line(colour = \"black\")) " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# oral_age (blue): rf best (low MSE, relatively high stab -- very close to highest lasso)\n", + "# skin_age (pink): compLasso if stab; rf if MSE\n", + "# bmi_gut (orange): rf (low mse yet super low stability); compLasso (lower stability than elnet but lower mse)\n", + "# soil_park (greenish orange): lasso/compLasso\n", + "# soil_88 (green): compLasso " + ] + }, + { + "cell_type": "code", + "execution_count": 38, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "iVBORw0KGgoAAAANSUhEUgAAAeAAAAFoCAYAAACPNyggAAAEGWlDQ1BrQ0dDb2xvclNwYWNl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", + "text/plain": [ + "plot without title" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "options(repr.plot.width=4, repr.plot.height=3)\n", + "\n", + "ggplot(table, aes(x=stability, y=mse, color=dataset)) + geom_point(alpha = 0.5) + \n", + " labs(title='Data Applications', x='Stability', y='MSE') +\n", + " theme(plot.title = element_text(hjust = 0.5, size=12, face=\"bold.italic\"), \n", + " axis.title.x = element_text(size=10, face=\"bold\"),\n", + " axis.title.y = element_text(size=10, face=\"bold\"),\n", + " legend.position='right',\n", + " panel.background = element_blank(), axis.line = element_line(colour = \"black\")) \n", + "\n", + "# no clear association between mse and stability\n", + "# exists high mse high stab or low mse high stab\n", + "# issue with mse: range differs by dataset (re-scale to [0, 1]?)" + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "iVBORw0KGgoAAAANSUhEUgAAAeAAAAFoCAYAAACPNyggAAAEGWlDQ1BrQ0dDb2xvclNwYWNl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", + "text/plain": [ + "plot without title" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "options(repr.plot.width=4, repr.plot.height=3)\n", + "\n", + "ggplot(table, aes(x=stability, y=mse, color=method)) + geom_point(alpha = 0.5) + \n", + " labs(title='Data Applications', x='Stability', y='MSE') +\n", + " theme(plot.title = element_text(hjust = 0.5, size=12, face=\"bold.italic\"), \n", + " axis.title.x = element_text(size=10, face=\"bold\"),\n", + " axis.title.y = element_text(size=10, face=\"bold\"),\n", + " legend.position='right',\n", + " panel.background = element_blank(), axis.line = element_line(colour = \"black\")) " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "R", + "language": "R", + "name": "ir" + }, + "language_info": { + "codemirror_mode": "r", + "file_extension": ".r", + "mimetype": "text/x-r-source", + "name": "R", + "pygments_lexer": "r", + "version": "3.6.1" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/data_application/notebooks_application/1.1. BMI_DataPreparation_ParameterGrid.ipynb b/data_application/notebooks_application/1.1. BMI_DataPreparation_ParameterGrid.ipynb new file mode 100644 index 0000000..f68bfa4 --- /dev/null +++ b/data_application/notebooks_application/1.1. BMI_DataPreparation_ParameterGrid.ipynb @@ -0,0 +1,1303 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### BMI dataset in Lin et al, 2014 \n", + "##### use unrarifed count table and retain microbes only at genus level (+ present at least one sample)\n", + "#### add 0.5 as pseudo count to zero counts" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
      \n", + "\t
    1. 98
      2. \n", + "\t
    2. 263
      3. \n", + "
    \n" + ], + "text/latex": [ + "\\begin{enumerate*}\n", + "\\item 98\n", + "\\item 263\n", + "\\end{enumerate*}\n" + ], + "text/markdown": [ + "1. 98\n", + "2. 263\n", + "\n", + "\n" + ], + "text/plain": [ + "[1] 98 263" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "\n", + "\n", + "\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\n", + "
    Bacteria.ActinobacteriaBacteria.BacteroidetesBacteria.CyanobacteriaBacteria.FirmicutesBacteria.FusobacteriaBacteria.LentisphaeraeBacteria.OD1Bacteria.ProteobacteriaBacteria.SpirochaetesBacteria.Synergistetes...Bacteria.Proteobacteria.Gammaproteobacteria.Pseudomonadales.Moraxellaceae.EnhydrobacterBacteria.Proteobacteria.Gammaproteobacteria.Pseudomonadales.Pseudomonadaceae.PseudomonasBacteria.Proteobacteria.Gammaproteobacteria.Vibrionales.Vibrionaceae.VibrioBacteria.Proteobacteria.Gammaproteobacteria.Xanthomonadales.Xanthomonadaceae.LysobacterBacteria.Proteobacteria.Gammaproteobacteria.Xanthomonadales.Xanthomonadaceae.StenotrophomonasBacteria.Spirochaetes.Spirochaetes.Spirochaetales.Brachyspiraceae.BrachyspiraBacteria.Spirochaetes.Spirochaetes.Spirochaetales.Spirochaetaceae.TreponemaBacteria.Synergistetes.Synergistia.Synergistales.Synergistaceae.CloacibacillusBacteria.Synergistetes.Synergistia.Synergistales.Synergistaceae.PyramidobacterBacteria.Verrucomicrobia.Verrucomicrobiae.Verrucomicrobiales.Verrucomicrobiaceae.Akkermansia
    30011 50670 41530 0 0 534 0 0 ... 0 0 0 0 0 0 0 0 0 0
    30030 46590 21770 0 0 105 0 0 ... 0 0 0 0 0 0 0 0 0 0
    30040 43420 30080 2 0 134 0 0 ... 0 0 0 0 0 0 0 0 0 0
    30068 29100 41470 0 0 459 0 0 ... 0 0 0 0 0 0 0 0 0 0
    30075 56300 47050 0 0 214 0 0 ... 0 0 0 0 0 0 0 0 0 0
    30085 18680 16190 0 0 17 0 0 ... 0 0 0 0 0 0 0 0 0 0
    \n" + ], + "text/latex": [ + "\\begin{tabular}{r|lllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllll}\n", + " & Bacteria.Actinobacteria & Bacteria.Bacteroidetes & Bacteria.Cyanobacteria & Bacteria.Firmicutes & Bacteria.Fusobacteria & Bacteria.Lentisphaerae & Bacteria.OD1 & Bacteria.Proteobacteria & Bacteria.Spirochaetes & Bacteria.Synergistetes & ... & Bacteria.Proteobacteria.Gammaproteobacteria.Pseudomonadales.Moraxellaceae.Enhydrobacter & Bacteria.Proteobacteria.Gammaproteobacteria.Pseudomonadales.Pseudomonadaceae.Pseudomonas & Bacteria.Proteobacteria.Gammaproteobacteria.Vibrionales.Vibrionaceae.Vibrio & Bacteria.Proteobacteria.Gammaproteobacteria.Xanthomonadales.Xanthomonadaceae.Lysobacter & Bacteria.Proteobacteria.Gammaproteobacteria.Xanthomonadales.Xanthomonadaceae.Stenotrophomonas & Bacteria.Spirochaetes.Spirochaetes.Spirochaetales.Brachyspiraceae.Brachyspira & Bacteria.Spirochaetes.Spirochaetes.Spirochaetales.Spirochaetaceae.Treponema & Bacteria.Synergistetes.Synergistia.Synergistales.Synergistaceae.Cloacibacillus & Bacteria.Synergistetes.Synergistia.Synergistales.Synergistaceae.Pyramidobacter & Bacteria.Verrucomicrobia.Verrucomicrobiae.Verrucomicrobiales.Verrucomicrobiaceae.Akkermansia\\\\\n", + "\\hline\n", + "\t3001 & 1 & 5067 & 0 & 4153 & 0 & 0 & 0 & 534 & 0 & 0 & ... & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 \\\\\n", + "\t3003 & 0 & 4659 & 0 & 2177 & 0 & 0 & 0 & 105 & 0 & 0 & ... & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 \\\\\n", + "\t3004 & 0 & 4342 & 0 & 3008 & 0 & 2 & 0 & 134 & 0 & 0 & ... & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 \\\\\n", + "\t3006 & 8 & 2910 & 0 & 4147 & 0 & 0 & 0 & 459 & 0 & 0 & ... & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 \\\\\n", + "\t3007 & 5 & 5630 & 0 & 4705 & 0 & 0 & 0 & 214 & 0 & 0 & ... & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 \\\\\n", + "\t3008 & 5 & 1868 & 0 & 1619 & 0 & 0 & 0 & 17 & 0 & 0 & ... & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 \\\\\n", + "\\end{tabular}\n" + ], + "text/markdown": [ + "\n", + "| | Bacteria.Actinobacteria | Bacteria.Bacteroidetes | Bacteria.Cyanobacteria | Bacteria.Firmicutes | Bacteria.Fusobacteria | Bacteria.Lentisphaerae | Bacteria.OD1 | Bacteria.Proteobacteria | Bacteria.Spirochaetes | Bacteria.Synergistetes | ... | Bacteria.Proteobacteria.Gammaproteobacteria.Pseudomonadales.Moraxellaceae.Enhydrobacter | Bacteria.Proteobacteria.Gammaproteobacteria.Pseudomonadales.Pseudomonadaceae.Pseudomonas | Bacteria.Proteobacteria.Gammaproteobacteria.Vibrionales.Vibrionaceae.Vibrio | Bacteria.Proteobacteria.Gammaproteobacteria.Xanthomonadales.Xanthomonadaceae.Lysobacter | Bacteria.Proteobacteria.Gammaproteobacteria.Xanthomonadales.Xanthomonadaceae.Stenotrophomonas | Bacteria.Spirochaetes.Spirochaetes.Spirochaetales.Brachyspiraceae.Brachyspira | Bacteria.Spirochaetes.Spirochaetes.Spirochaetales.Spirochaetaceae.Treponema | Bacteria.Synergistetes.Synergistia.Synergistales.Synergistaceae.Cloacibacillus | Bacteria.Synergistetes.Synergistia.Synergistales.Synergistaceae.Pyramidobacter | Bacteria.Verrucomicrobia.Verrucomicrobiae.Verrucomicrobiales.Verrucomicrobiaceae.Akkermansia |\n", + "|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n", + "| 3001 | 1 | 5067 | 0 | 4153 | 0 | 0 | 0 | 534 | 0 | 0 | ... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n", + "| 3003 | 0 | 4659 | 0 | 2177 | 0 | 0 | 0 | 105 | 0 | 0 | ... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n", + "| 3004 | 0 | 4342 | 0 | 3008 | 0 | 2 | 0 | 134 | 0 | 0 | ... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n", + "| 3006 | 8 | 2910 | 0 | 4147 | 0 | 0 | 0 | 459 | 0 | 0 | ... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n", + "| 3007 | 5 | 5630 | 0 | 4705 | 0 | 0 | 0 | 214 | 0 | 0 | ... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n", + "| 3008 | 5 | 1868 | 0 | 1619 | 0 | 0 | 0 | 17 | 0 | 0 | ... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n", + "\n" + ], + "text/plain": [ + " Bacteria.Actinobacteria Bacteria.Bacteroidetes Bacteria.Cyanobacteria\n", + "3001 1 5067 0 \n", + "3003 0 4659 0 \n", + "3004 0 4342 0 \n", + "3006 8 2910 0 \n", + "3007 5 5630 0 \n", + "3008 5 1868 0 \n", + " Bacteria.Firmicutes Bacteria.Fusobacteria Bacteria.Lentisphaerae\n", + "3001 4153 0 0 \n", + "3003 2177 0 0 \n", + "3004 3008 0 2 \n", + "3006 4147 0 0 \n", + "3007 4705 0 0 \n", + "3008 1619 0 0 \n", + " Bacteria.OD1 Bacteria.Proteobacteria Bacteria.Spirochaetes\n", + "3001 0 534 0 \n", + "3003 0 105 0 \n", + "3004 0 134 0 \n", + "3006 0 459 0 \n", + "3007 0 214 0 \n", + "3008 0 17 0 \n", + " Bacteria.Synergistetes ...\n", + "3001 0 ...\n", + "3003 0 ...\n", + "3004 0 ...\n", + "3006 0 ...\n", + "3007 0 ...\n", + "3008 0 ...\n", + " Bacteria.Proteobacteria.Gammaproteobacteria.Pseudomonadales.Moraxellaceae.Enhydrobacter\n", + "3001 0 \n", + "3003 0 \n", + "3004 0 \n", + "3006 0 \n", + "3007 0 \n", + "3008 0 \n", + " Bacteria.Proteobacteria.Gammaproteobacteria.Pseudomonadales.Pseudomonadaceae.Pseudomonas\n", + "3001 0 \n", + "3003 0 \n", + "3004 0 \n", + "3006 0 \n", + "3007 0 \n", + "3008 0 \n", + " Bacteria.Proteobacteria.Gammaproteobacteria.Vibrionales.Vibrionaceae.Vibrio\n", + "3001 0 \n", + "3003 0 \n", + "3004 0 \n", + "3006 0 \n", + "3007 0 \n", + "3008 0 \n", + " Bacteria.Proteobacteria.Gammaproteobacteria.Xanthomonadales.Xanthomonadaceae.Lysobacter\n", + "3001 0 \n", + "3003 0 \n", + "3004 0 \n", + "3006 0 \n", + "3007 0 \n", + "3008 0 \n", + " Bacteria.Proteobacteria.Gammaproteobacteria.Xanthomonadales.Xanthomonadaceae.Stenotrophomonas\n", + "3001 0 \n", + "3003 0 \n", + "3004 0 \n", + "3006 0 \n", + "3007 0 \n", + "3008 0 \n", + " Bacteria.Spirochaetes.Spirochaetes.Spirochaetales.Brachyspiraceae.Brachyspira\n", + "3001 0 \n", + "3003 0 \n", + "3004 0 \n", + "3006 0 \n", + "3007 0 \n", + "3008 0 \n", + " Bacteria.Spirochaetes.Spirochaetes.Spirochaetales.Spirochaetaceae.Treponema\n", + "3001 0 \n", + "3003 0 \n", + "3004 0 \n", + "3006 0 \n", + "3007 0 \n", + "3008 0 \n", + " Bacteria.Synergistetes.Synergistia.Synergistales.Synergistaceae.Cloacibacillus\n", + "3001 0 \n", + "3003 0 \n", + "3004 0 \n", + "3006 0 \n", + "3007 0 \n", + "3008 0 \n", + " Bacteria.Synergistetes.Synergistia.Synergistales.Synergistaceae.Pyramidobacter\n", + "3001 0 \n", + "3003 0 \n", + "3004 0 \n", + "3006 0 \n", + "3007 0 \n", + "3008 0 \n", + " Bacteria.Verrucomicrobia.Verrucomicrobiae.Verrucomicrobiales.Verrucomicrobiaceae.Akkermansia\n", + "3001 0 \n", + "3003 0 \n", + "3004 0 \n", + "3006 0 \n", + "3007 0 \n", + "3008 0 " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# unrarefied microbe count table\n", + "count <- as.matrix(read.table(\"../../code_Lin/cvs/data/combo_count_tab.txt\")) \n", + "dim(count)\n", + "head(count)" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
      \n", + "\t
    1. 98
      2. \n", + "\t
    2. 87
      3. \n", + "
    \n" + ], + "text/latex": [ + "\\begin{enumerate*}\n", + "\\item 98\n", + "\\item 87\n", + "\\end{enumerate*}\n" + ], + "text/markdown": [ + "1. 98\n", + "2. 87\n", + "\n", + "\n" + ], + "text/plain": [ + "[1] 98 87" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "\n", + "\n", + "\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\n", + "
    Bacteria.Actinobacteria.Actinobacteria.Coriobacteriales.Coriobacteriaceae.AsaccharobacterBacteria.Actinobacteria.Actinobacteria.Coriobacteriales.Coriobacteriaceae.AtopobiumBacteria.Actinobacteria.Actinobacteria.Coriobacteriales.Coriobacteriaceae.CollinsellaBacteria.Actinobacteria.Actinobacteria.Coriobacteriales.Coriobacteriaceae.EggerthellaBacteria.Actinobacteria.Actinobacteria.Coriobacteriales.Coriobacteriaceae.GordonibacterBacteria.Actinobacteria.Actinobacteria.Coriobacteriales.Coriobacteriaceae.OlsenellaBacteria.Actinobacteria.Actinobacteria.Coriobacteriales.Coriobacteriaceae.SlackiaBacteria.Bacteroidetes.Bacteroidia.Bacteroidales.Bacteroidaceae.BacteroidesBacteria.Bacteroidetes.Bacteroidia.Bacteroidales.Porphyromonadaceae.BarnesiellaBacteria.Bacteroidetes.Bacteroidia.Bacteroidales.Porphyromonadaceae.Butyricimonas...Bacteria.Proteobacteria.Betaproteobacteria.Burkholderiales.Oxalobacteraceae.OxalobacterBacteria.Proteobacteria.Betaproteobacteria.Neisseriales.Neisseriaceae.NeisseriaBacteria.Proteobacteria.Deltaproteobacteria.Desulfovibrionales.Desulfovibrionaceae.DesulfovibrioBacteria.Proteobacteria.Epsilonproteobacteria.Campylobacterales.Campylobacteraceae.CampylobacterBacteria.Proteobacteria.Gammaproteobacteria.Aeromonadales.Succinivibrionaceae.SuccinivibrioBacteria.Proteobacteria.Gammaproteobacteria.Pseudomonadales.Pseudomonadaceae.PseudomonasBacteria.Proteobacteria.Gammaproteobacteria.Xanthomonadales.Xanthomonadaceae.StenotrophomonasBacteria.Synergistetes.Synergistia.Synergistales.Synergistaceae.CloacibacillusBacteria.Synergistetes.Synergistia.Synergistales.Synergistaceae.PyramidobacterBacteria.Verrucomicrobia.Verrucomicrobiae.Verrucomicrobiales.Verrucomicrobiaceae.Akkermansia
    30010 0 0 0 0 0 0 2878 0 69 ... 0 0 0 0 0 0 0 0 0 0
    30030 0 0 0 0 0 0 578180 0 ... 2 0 0 1 0 0 0 0 0 0
    30040 0 0 0 0 0 0 3503143 0 ... 0 0 0 0 0 0 0 0 0 0
    30060 0 0 0 0 0 0 2162 1 0 ... 3 0 0 0 0 0 0 0 0 0
    30070 0 0 2 0 0 0 4453 0 0 ... 9 0 0 1 0 0 0 0 0 0
    30080 0 0 1 0 0 0 950237 19 ... 4 0 0 0 0 0 0 0 0 0
    \n" + ], + "text/latex": [ + "\\begin{tabular}{r|lllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllll}\n", + " & Bacteria.Actinobacteria.Actinobacteria.Coriobacteriales.Coriobacteriaceae.Asaccharobacter & Bacteria.Actinobacteria.Actinobacteria.Coriobacteriales.Coriobacteriaceae.Atopobium & Bacteria.Actinobacteria.Actinobacteria.Coriobacteriales.Coriobacteriaceae.Collinsella & Bacteria.Actinobacteria.Actinobacteria.Coriobacteriales.Coriobacteriaceae.Eggerthella & Bacteria.Actinobacteria.Actinobacteria.Coriobacteriales.Coriobacteriaceae.Gordonibacter & Bacteria.Actinobacteria.Actinobacteria.Coriobacteriales.Coriobacteriaceae.Olsenella & Bacteria.Actinobacteria.Actinobacteria.Coriobacteriales.Coriobacteriaceae.Slackia & Bacteria.Bacteroidetes.Bacteroidia.Bacteroidales.Bacteroidaceae.Bacteroides & Bacteria.Bacteroidetes.Bacteroidia.Bacteroidales.Porphyromonadaceae.Barnesiella & Bacteria.Bacteroidetes.Bacteroidia.Bacteroidales.Porphyromonadaceae.Butyricimonas & ... & Bacteria.Proteobacteria.Betaproteobacteria.Burkholderiales.Oxalobacteraceae.Oxalobacter & Bacteria.Proteobacteria.Betaproteobacteria.Neisseriales.Neisseriaceae.Neisseria & Bacteria.Proteobacteria.Deltaproteobacteria.Desulfovibrionales.Desulfovibrionaceae.Desulfovibrio & Bacteria.Proteobacteria.Epsilonproteobacteria.Campylobacterales.Campylobacteraceae.Campylobacter & Bacteria.Proteobacteria.Gammaproteobacteria.Aeromonadales.Succinivibrionaceae.Succinivibrio & Bacteria.Proteobacteria.Gammaproteobacteria.Pseudomonadales.Pseudomonadaceae.Pseudomonas & Bacteria.Proteobacteria.Gammaproteobacteria.Xanthomonadales.Xanthomonadaceae.Stenotrophomonas & Bacteria.Synergistetes.Synergistia.Synergistales.Synergistaceae.Cloacibacillus & Bacteria.Synergistetes.Synergistia.Synergistales.Synergistaceae.Pyramidobacter & Bacteria.Verrucomicrobia.Verrucomicrobiae.Verrucomicrobiales.Verrucomicrobiaceae.Akkermansia\\\\\n", + "\\hline\n", + "\t3001 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 2878 & 0 & 69 & ... & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 \\\\\n", + "\t3003 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 578 & 180 & 0 & ... & 2 & 0 & 0 & 1 & 0 & 0 & 0 & 0 & 0 & 0 \\\\\n", + "\t3004 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 3503 & 143 & 0 & ... & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 \\\\\n", + "\t3006 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 2162 & 1 & 0 & ... & 3 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 \\\\\n", + "\t3007 & 0 & 0 & 0 & 2 & 0 & 0 & 0 & 4453 & 0 & 0 & ... & 9 & 0 & 0 & 1 & 0 & 0 & 0 & 0 & 0 & 0 \\\\\n", + "\t3008 & 0 & 0 & 0 & 1 & 0 & 0 & 0 & 950 & 237 & 19 & ... & 4 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 \\\\\n", + "\\end{tabular}\n" + ], + "text/markdown": [ + "\n", + "| | Bacteria.Actinobacteria.Actinobacteria.Coriobacteriales.Coriobacteriaceae.Asaccharobacter | Bacteria.Actinobacteria.Actinobacteria.Coriobacteriales.Coriobacteriaceae.Atopobium | Bacteria.Actinobacteria.Actinobacteria.Coriobacteriales.Coriobacteriaceae.Collinsella | Bacteria.Actinobacteria.Actinobacteria.Coriobacteriales.Coriobacteriaceae.Eggerthella | Bacteria.Actinobacteria.Actinobacteria.Coriobacteriales.Coriobacteriaceae.Gordonibacter | Bacteria.Actinobacteria.Actinobacteria.Coriobacteriales.Coriobacteriaceae.Olsenella | Bacteria.Actinobacteria.Actinobacteria.Coriobacteriales.Coriobacteriaceae.Slackia | Bacteria.Bacteroidetes.Bacteroidia.Bacteroidales.Bacteroidaceae.Bacteroides | Bacteria.Bacteroidetes.Bacteroidia.Bacteroidales.Porphyromonadaceae.Barnesiella | Bacteria.Bacteroidetes.Bacteroidia.Bacteroidales.Porphyromonadaceae.Butyricimonas | ... | Bacteria.Proteobacteria.Betaproteobacteria.Burkholderiales.Oxalobacteraceae.Oxalobacter | Bacteria.Proteobacteria.Betaproteobacteria.Neisseriales.Neisseriaceae.Neisseria | Bacteria.Proteobacteria.Deltaproteobacteria.Desulfovibrionales.Desulfovibrionaceae.Desulfovibrio | Bacteria.Proteobacteria.Epsilonproteobacteria.Campylobacterales.Campylobacteraceae.Campylobacter | Bacteria.Proteobacteria.Gammaproteobacteria.Aeromonadales.Succinivibrionaceae.Succinivibrio | Bacteria.Proteobacteria.Gammaproteobacteria.Pseudomonadales.Pseudomonadaceae.Pseudomonas | Bacteria.Proteobacteria.Gammaproteobacteria.Xanthomonadales.Xanthomonadaceae.Stenotrophomonas | Bacteria.Synergistetes.Synergistia.Synergistales.Synergistaceae.Cloacibacillus | Bacteria.Synergistetes.Synergistia.Synergistales.Synergistaceae.Pyramidobacter | Bacteria.Verrucomicrobia.Verrucomicrobiae.Verrucomicrobiales.Verrucomicrobiaceae.Akkermansia |\n", + "|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n", + "| 3001 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2878 | 0 | 69 | ... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n", + "| 3003 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 578 | 180 | 0 | ... | 2 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 |\n", + "| 3004 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3503 | 143 | 0 | ... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n", + "| 3006 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2162 | 1 | 0 | ... | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n", + "| 3007 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 4453 | 0 | 0 | ... | 9 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 |\n", + "| 3008 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 950 | 237 | 19 | ... | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n", + "\n" + ], + "text/plain": [ + " Bacteria.Actinobacteria.Actinobacteria.Coriobacteriales.Coriobacteriaceae.Asaccharobacter\n", + "3001 0 \n", + "3003 0 \n", + "3004 0 \n", + "3006 0 \n", + "3007 0 \n", + "3008 0 \n", + " Bacteria.Actinobacteria.Actinobacteria.Coriobacteriales.Coriobacteriaceae.Atopobium\n", + "3001 0 \n", + "3003 0 \n", + "3004 0 \n", + "3006 0 \n", + "3007 0 \n", + "3008 0 \n", + " Bacteria.Actinobacteria.Actinobacteria.Coriobacteriales.Coriobacteriaceae.Collinsella\n", + "3001 0 \n", + "3003 0 \n", + "3004 0 \n", + "3006 0 \n", + "3007 0 \n", + "3008 0 \n", + " Bacteria.Actinobacteria.Actinobacteria.Coriobacteriales.Coriobacteriaceae.Eggerthella\n", + "3001 0 \n", + "3003 0 \n", + "3004 0 \n", + "3006 0 \n", + "3007 2 \n", + "3008 1 \n", + " Bacteria.Actinobacteria.Actinobacteria.Coriobacteriales.Coriobacteriaceae.Gordonibacter\n", + "3001 0 \n", + "3003 0 \n", + "3004 0 \n", + "3006 0 \n", + "3007 0 \n", + "3008 0 \n", + " Bacteria.Actinobacteria.Actinobacteria.Coriobacteriales.Coriobacteriaceae.Olsenella\n", + "3001 0 \n", + "3003 0 \n", + "3004 0 \n", + "3006 0 \n", + "3007 0 \n", + "3008 0 \n", + " Bacteria.Actinobacteria.Actinobacteria.Coriobacteriales.Coriobacteriaceae.Slackia\n", + "3001 0 \n", + "3003 0 \n", + "3004 0 \n", + "3006 0 \n", + "3007 0 \n", + "3008 0 \n", + " Bacteria.Bacteroidetes.Bacteroidia.Bacteroidales.Bacteroidaceae.Bacteroides\n", + "3001 2878 \n", + "3003 578 \n", + "3004 3503 \n", + "3006 2162 \n", + "3007 4453 \n", + "3008 950 \n", + " Bacteria.Bacteroidetes.Bacteroidia.Bacteroidales.Porphyromonadaceae.Barnesiella\n", + "3001 0 \n", + "3003 180 \n", + "3004 143 \n", + "3006 1 \n", + "3007 0 \n", + "3008 237 \n", + " Bacteria.Bacteroidetes.Bacteroidia.Bacteroidales.Porphyromonadaceae.Butyricimonas\n", + "3001 69 \n", + "3003 0 \n", + "3004 0 \n", + "3006 0 \n", + "3007 0 \n", + "3008 19 \n", + " ...\n", + "3001 ...\n", + "3003 ...\n", + "3004 ...\n", + "3006 ...\n", + "3007 ...\n", + "3008 ...\n", + " Bacteria.Proteobacteria.Betaproteobacteria.Burkholderiales.Oxalobacteraceae.Oxalobacter\n", + "3001 0 \n", + "3003 2 \n", + "3004 0 \n", + "3006 3 \n", + "3007 9 \n", + "3008 4 \n", + " Bacteria.Proteobacteria.Betaproteobacteria.Neisseriales.Neisseriaceae.Neisseria\n", + "3001 0 \n", + "3003 0 \n", + "3004 0 \n", + "3006 0 \n", + "3007 0 \n", + "3008 0 \n", + " Bacteria.Proteobacteria.Deltaproteobacteria.Desulfovibrionales.Desulfovibrionaceae.Desulfovibrio\n", + "3001 0 \n", + "3003 0 \n", + "3004 0 \n", + "3006 0 \n", + "3007 0 \n", + "3008 0 \n", + " Bacteria.Proteobacteria.Epsilonproteobacteria.Campylobacterales.Campylobacteraceae.Campylobacter\n", + "3001 0 \n", + "3003 1 \n", + "3004 0 \n", + "3006 0 \n", + "3007 1 \n", + "3008 0 \n", + " Bacteria.Proteobacteria.Gammaproteobacteria.Aeromonadales.Succinivibrionaceae.Succinivibrio\n", + "3001 0 \n", + "3003 0 \n", + "3004 0 \n", + "3006 0 \n", + "3007 0 \n", + "3008 0 \n", + " Bacteria.Proteobacteria.Gammaproteobacteria.Pseudomonadales.Pseudomonadaceae.Pseudomonas\n", + "3001 0 \n", + "3003 0 \n", + "3004 0 \n", + "3006 0 \n", + "3007 0 \n", + "3008 0 \n", + " Bacteria.Proteobacteria.Gammaproteobacteria.Xanthomonadales.Xanthomonadaceae.Stenotrophomonas\n", + "3001 0 \n", + "3003 0 \n", + "3004 0 \n", + "3006 0 \n", + "3007 0 \n", + "3008 0 \n", + " Bacteria.Synergistetes.Synergistia.Synergistales.Synergistaceae.Cloacibacillus\n", + "3001 0 \n", + "3003 0 \n", + "3004 0 \n", + "3006 0 \n", + "3007 0 \n", + "3008 0 \n", + " Bacteria.Synergistetes.Synergistia.Synergistales.Synergistaceae.Pyramidobacter\n", + "3001 0 \n", + "3003 0 \n", + "3004 0 \n", + "3006 0 \n", + "3007 0 \n", + "3008 0 \n", + " Bacteria.Verrucomicrobia.Verrucomicrobiae.Verrucomicrobiales.Verrucomicrobiaceae.Akkermansia\n", + "3001 0 \n", + "3003 0 \n", + "3004 0 \n", + "3006 0 \n", + "3007 0 \n", + "3008 0 " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# retain only microbes at genus level and exist at least one sample\n", + "depth <- sapply(strsplit(colnames(count), \"\\\\.\"), length)\n", + "x <- count[, depth == 6 & colSums(count != 0) >= 1] # 98 * 87\n", + "dim(x)\n", + "head(x)" + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
      \n", + "\t
    1. 98
      2. \n", + "\t
    2. 87
      3. \n", + "
    \n" + ], + "text/latex": [ + "\\begin{enumerate*}\n", + "\\item 98\n", + "\\item 87\n", + "\\end{enumerate*}\n" + ], + "text/markdown": [ + "1. 98\n", + "2. 87\n", + "\n", + "\n" + ], + "text/plain": [ + "[1] 98 87" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "\n", + "\n", + "\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\n", + "
    Bacteria.Actinobacteria.Actinobacteria.Coriobacteriales.Coriobacteriaceae.AsaccharobacterBacteria.Actinobacteria.Actinobacteria.Coriobacteriales.Coriobacteriaceae.AtopobiumBacteria.Actinobacteria.Actinobacteria.Coriobacteriales.Coriobacteriaceae.CollinsellaBacteria.Actinobacteria.Actinobacteria.Coriobacteriales.Coriobacteriaceae.EggerthellaBacteria.Actinobacteria.Actinobacteria.Coriobacteriales.Coriobacteriaceae.GordonibacterBacteria.Actinobacteria.Actinobacteria.Coriobacteriales.Coriobacteriaceae.OlsenellaBacteria.Actinobacteria.Actinobacteria.Coriobacteriales.Coriobacteriaceae.SlackiaBacteria.Bacteroidetes.Bacteroidia.Bacteroidales.Bacteroidaceae.BacteroidesBacteria.Bacteroidetes.Bacteroidia.Bacteroidales.Porphyromonadaceae.BarnesiellaBacteria.Bacteroidetes.Bacteroidia.Bacteroidales.Porphyromonadaceae.Butyricimonas...Bacteria.Proteobacteria.Betaproteobacteria.Burkholderiales.Oxalobacteraceae.OxalobacterBacteria.Proteobacteria.Betaproteobacteria.Neisseriales.Neisseriaceae.NeisseriaBacteria.Proteobacteria.Deltaproteobacteria.Desulfovibrionales.Desulfovibrionaceae.DesulfovibrioBacteria.Proteobacteria.Epsilonproteobacteria.Campylobacterales.Campylobacteraceae.CampylobacterBacteria.Proteobacteria.Gammaproteobacteria.Aeromonadales.Succinivibrionaceae.SuccinivibrioBacteria.Proteobacteria.Gammaproteobacteria.Pseudomonadales.Pseudomonadaceae.PseudomonasBacteria.Proteobacteria.Gammaproteobacteria.Xanthomonadales.Xanthomonadaceae.StenotrophomonasBacteria.Synergistetes.Synergistia.Synergistales.Synergistaceae.CloacibacillusBacteria.Synergistetes.Synergistia.Synergistales.Synergistaceae.PyramidobacterBacteria.Verrucomicrobia.Verrucomicrobiae.Verrucomicrobiales.Verrucomicrobiaceae.Akkermansia
    3001-9.500918 -9.500918 -9.500918 -9.500918 -9.500918 -9.500918 -9.500918 -0.8429202-9.500918 -4.573665 ... -9.500918 -9.500918 -9.500918 -9.500918 -9.500918 -9.500918 -9.500918 -9.500918 -9.500918 -9.500918
    3003-9.278560 -9.278560 -9.278560 -9.278560 -9.278560 -9.278560 -9.278560 -2.2258386-3.392456 -9.278560 ... -7.892265 -9.278560 -9.278560 -8.585412 -9.278560 -9.278560 -9.278560 -9.278560 -9.278560 -9.278560
    3004-9.269646 -9.269646 -9.269646 -9.269646 -9.269646 -9.269646 -9.269646 -0.4151243-3.613655 -9.269646 ... -9.269646 -9.269646 -9.269646 -9.269646 -9.269646 -9.269646 -9.269646 -9.269646 -9.269646 -9.269646
    3006-9.114600 -9.114600 -9.114600 -9.114600 -9.114600 -9.114600 -9.114600 -0.7426639-8.421453 -9.114600 ... -7.322841 -9.114600 -9.114600 -9.114600 -9.114600 -9.114600 -9.114600 -9.114600 -9.114600 -9.114600
    3007-9.643356 -9.643356 -9.643356 -8.257061 -9.643356 -9.643356 -9.643356 -0.5488753-9.643356 -9.643356 ... -6.752984 -9.643356 -9.643356 -8.950209 -9.643356 -9.643356 -9.643356 -9.643356 -9.643356 -9.643356
    3008-8.387085 -8.387085 -8.387085 -7.693937 -8.387085 -8.387085 -8.387085 -0.8374753-2.225877 -4.749498 ... -6.307643 -8.387085 -8.387085 -8.387085 -8.387085 -8.387085 -8.387085 -8.387085 -8.387085 -8.387085
    \n" + ], + "text/latex": [ + "\\begin{tabular}{r|lllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllll}\n", + " & Bacteria.Actinobacteria.Actinobacteria.Coriobacteriales.Coriobacteriaceae.Asaccharobacter & Bacteria.Actinobacteria.Actinobacteria.Coriobacteriales.Coriobacteriaceae.Atopobium & Bacteria.Actinobacteria.Actinobacteria.Coriobacteriales.Coriobacteriaceae.Collinsella & Bacteria.Actinobacteria.Actinobacteria.Coriobacteriales.Coriobacteriaceae.Eggerthella & Bacteria.Actinobacteria.Actinobacteria.Coriobacteriales.Coriobacteriaceae.Gordonibacter & Bacteria.Actinobacteria.Actinobacteria.Coriobacteriales.Coriobacteriaceae.Olsenella & Bacteria.Actinobacteria.Actinobacteria.Coriobacteriales.Coriobacteriaceae.Slackia & Bacteria.Bacteroidetes.Bacteroidia.Bacteroidales.Bacteroidaceae.Bacteroides & Bacteria.Bacteroidetes.Bacteroidia.Bacteroidales.Porphyromonadaceae.Barnesiella & Bacteria.Bacteroidetes.Bacteroidia.Bacteroidales.Porphyromonadaceae.Butyricimonas & ... & Bacteria.Proteobacteria.Betaproteobacteria.Burkholderiales.Oxalobacteraceae.Oxalobacter & Bacteria.Proteobacteria.Betaproteobacteria.Neisseriales.Neisseriaceae.Neisseria & Bacteria.Proteobacteria.Deltaproteobacteria.Desulfovibrionales.Desulfovibrionaceae.Desulfovibrio & Bacteria.Proteobacteria.Epsilonproteobacteria.Campylobacterales.Campylobacteraceae.Campylobacter & Bacteria.Proteobacteria.Gammaproteobacteria.Aeromonadales.Succinivibrionaceae.Succinivibrio & Bacteria.Proteobacteria.Gammaproteobacteria.Pseudomonadales.Pseudomonadaceae.Pseudomonas & Bacteria.Proteobacteria.Gammaproteobacteria.Xanthomonadales.Xanthomonadaceae.Stenotrophomonas & Bacteria.Synergistetes.Synergistia.Synergistales.Synergistaceae.Cloacibacillus & Bacteria.Synergistetes.Synergistia.Synergistales.Synergistaceae.Pyramidobacter & Bacteria.Verrucomicrobia.Verrucomicrobiae.Verrucomicrobiales.Verrucomicrobiaceae.Akkermansia\\\\\n", + "\\hline\n", + "\t3001 & -9.500918 & -9.500918 & -9.500918 & -9.500918 & -9.500918 & -9.500918 & -9.500918 & -0.8429202 & -9.500918 & -4.573665 & ... & -9.500918 & -9.500918 & -9.500918 & -9.500918 & -9.500918 & -9.500918 & -9.500918 & -9.500918 & -9.500918 & -9.500918 \\\\\n", + "\t3003 & -9.278560 & -9.278560 & -9.278560 & -9.278560 & -9.278560 & -9.278560 & -9.278560 & -2.2258386 & -3.392456 & -9.278560 & ... & -7.892265 & -9.278560 & -9.278560 & -8.585412 & -9.278560 & -9.278560 & -9.278560 & -9.278560 & -9.278560 & -9.278560 \\\\\n", + "\t3004 & -9.269646 & -9.269646 & -9.269646 & -9.269646 & -9.269646 & -9.269646 & -9.269646 & -0.4151243 & -3.613655 & -9.269646 & ... & -9.269646 & -9.269646 & -9.269646 & -9.269646 & -9.269646 & -9.269646 & -9.269646 & -9.269646 & -9.269646 & -9.269646 \\\\\n", + "\t3006 & -9.114600 & -9.114600 & -9.114600 & -9.114600 & -9.114600 & -9.114600 & -9.114600 & -0.7426639 & -8.421453 & -9.114600 & ... & -7.322841 & -9.114600 & -9.114600 & -9.114600 & -9.114600 & -9.114600 & -9.114600 & -9.114600 & -9.114600 & -9.114600 \\\\\n", + "\t3007 & -9.643356 & -9.643356 & -9.643356 & -8.257061 & -9.643356 & -9.643356 & -9.643356 & -0.5488753 & -9.643356 & -9.643356 & ... & -6.752984 & -9.643356 & -9.643356 & -8.950209 & -9.643356 & -9.643356 & -9.643356 & -9.643356 & -9.643356 & -9.643356 \\\\\n", + "\t3008 & -8.387085 & -8.387085 & -8.387085 & -7.693937 & -8.387085 & -8.387085 & -8.387085 & -0.8374753 & -2.225877 & -4.749498 & ... & -6.307643 & -8.387085 & -8.387085 & -8.387085 & -8.387085 & -8.387085 & -8.387085 & -8.387085 & -8.387085 & -8.387085 \\\\\n", + "\\end{tabular}\n" + ], + "text/markdown": [ + "\n", + "| | Bacteria.Actinobacteria.Actinobacteria.Coriobacteriales.Coriobacteriaceae.Asaccharobacter | Bacteria.Actinobacteria.Actinobacteria.Coriobacteriales.Coriobacteriaceae.Atopobium | Bacteria.Actinobacteria.Actinobacteria.Coriobacteriales.Coriobacteriaceae.Collinsella | Bacteria.Actinobacteria.Actinobacteria.Coriobacteriales.Coriobacteriaceae.Eggerthella | Bacteria.Actinobacteria.Actinobacteria.Coriobacteriales.Coriobacteriaceae.Gordonibacter | Bacteria.Actinobacteria.Actinobacteria.Coriobacteriales.Coriobacteriaceae.Olsenella | Bacteria.Actinobacteria.Actinobacteria.Coriobacteriales.Coriobacteriaceae.Slackia | Bacteria.Bacteroidetes.Bacteroidia.Bacteroidales.Bacteroidaceae.Bacteroides | Bacteria.Bacteroidetes.Bacteroidia.Bacteroidales.Porphyromonadaceae.Barnesiella | Bacteria.Bacteroidetes.Bacteroidia.Bacteroidales.Porphyromonadaceae.Butyricimonas | ... | Bacteria.Proteobacteria.Betaproteobacteria.Burkholderiales.Oxalobacteraceae.Oxalobacter | Bacteria.Proteobacteria.Betaproteobacteria.Neisseriales.Neisseriaceae.Neisseria | Bacteria.Proteobacteria.Deltaproteobacteria.Desulfovibrionales.Desulfovibrionaceae.Desulfovibrio | Bacteria.Proteobacteria.Epsilonproteobacteria.Campylobacterales.Campylobacteraceae.Campylobacter | Bacteria.Proteobacteria.Gammaproteobacteria.Aeromonadales.Succinivibrionaceae.Succinivibrio | Bacteria.Proteobacteria.Gammaproteobacteria.Pseudomonadales.Pseudomonadaceae.Pseudomonas | Bacteria.Proteobacteria.Gammaproteobacteria.Xanthomonadales.Xanthomonadaceae.Stenotrophomonas | Bacteria.Synergistetes.Synergistia.Synergistales.Synergistaceae.Cloacibacillus | Bacteria.Synergistetes.Synergistia.Synergistales.Synergistaceae.Pyramidobacter | Bacteria.Verrucomicrobia.Verrucomicrobiae.Verrucomicrobiales.Verrucomicrobiaceae.Akkermansia |\n", + "|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n", + "| 3001 | -9.500918 | -9.500918 | -9.500918 | -9.500918 | -9.500918 | -9.500918 | -9.500918 | -0.8429202 | -9.500918 | -4.573665 | ... | -9.500918 | -9.500918 | -9.500918 | -9.500918 | -9.500918 | -9.500918 | -9.500918 | -9.500918 | -9.500918 | -9.500918 |\n", + "| 3003 | -9.278560 | -9.278560 | -9.278560 | -9.278560 | -9.278560 | -9.278560 | -9.278560 | -2.2258386 | -3.392456 | -9.278560 | ... | -7.892265 | -9.278560 | -9.278560 | -8.585412 | -9.278560 | -9.278560 | -9.278560 | -9.278560 | -9.278560 | -9.278560 |\n", + "| 3004 | -9.269646 | -9.269646 | -9.269646 | -9.269646 | -9.269646 | -9.269646 | -9.269646 | -0.4151243 | -3.613655 | -9.269646 | ... | -9.269646 | -9.269646 | -9.269646 | -9.269646 | -9.269646 | -9.269646 | -9.269646 | -9.269646 | -9.269646 | -9.269646 |\n", + "| 3006 | -9.114600 | -9.114600 | -9.114600 | -9.114600 | -9.114600 | -9.114600 | -9.114600 | -0.7426639 | -8.421453 | -9.114600 | ... | -7.322841 | -9.114600 | -9.114600 | -9.114600 | -9.114600 | -9.114600 | -9.114600 | -9.114600 | -9.114600 | -9.114600 |\n", + "| 3007 | -9.643356 | -9.643356 | -9.643356 | -8.257061 | -9.643356 | -9.643356 | -9.643356 | -0.5488753 | -9.643356 | -9.643356 | ... | -6.752984 | -9.643356 | -9.643356 | -8.950209 | -9.643356 | -9.643356 | -9.643356 | -9.643356 | -9.643356 | -9.643356 |\n", + "| 3008 | -8.387085 | -8.387085 | -8.387085 | -7.693937 | -8.387085 | -8.387085 | -8.387085 | -0.8374753 | -2.225877 | -4.749498 | ... | -6.307643 | -8.387085 | -8.387085 | -8.387085 | -8.387085 | -8.387085 | -8.387085 | -8.387085 | -8.387085 | -8.387085 |\n", + "\n" + ], + "text/plain": [ + " Bacteria.Actinobacteria.Actinobacteria.Coriobacteriales.Coriobacteriaceae.Asaccharobacter\n", + "3001 -9.500918 \n", + "3003 -9.278560 \n", + "3004 -9.269646 \n", + "3006 -9.114600 \n", + "3007 -9.643356 \n", + "3008 -8.387085 \n", + " Bacteria.Actinobacteria.Actinobacteria.Coriobacteriales.Coriobacteriaceae.Atopobium\n", + "3001 -9.500918 \n", + "3003 -9.278560 \n", + "3004 -9.269646 \n", + "3006 -9.114600 \n", + "3007 -9.643356 \n", + "3008 -8.387085 \n", + " Bacteria.Actinobacteria.Actinobacteria.Coriobacteriales.Coriobacteriaceae.Collinsella\n", + "3001 -9.500918 \n", + "3003 -9.278560 \n", + "3004 -9.269646 \n", + "3006 -9.114600 \n", + "3007 -9.643356 \n", + "3008 -8.387085 \n", + " Bacteria.Actinobacteria.Actinobacteria.Coriobacteriales.Coriobacteriaceae.Eggerthella\n", + "3001 -9.500918 \n", + "3003 -9.278560 \n", + "3004 -9.269646 \n", + "3006 -9.114600 \n", + "3007 -8.257061 \n", + "3008 -7.693937 \n", + " Bacteria.Actinobacteria.Actinobacteria.Coriobacteriales.Coriobacteriaceae.Gordonibacter\n", + "3001 -9.500918 \n", + "3003 -9.278560 \n", + "3004 -9.269646 \n", + "3006 -9.114600 \n", + "3007 -9.643356 \n", + "3008 -8.387085 \n", + " Bacteria.Actinobacteria.Actinobacteria.Coriobacteriales.Coriobacteriaceae.Olsenella\n", + "3001 -9.500918 \n", + "3003 -9.278560 \n", + "3004 -9.269646 \n", + "3006 -9.114600 \n", + "3007 -9.643356 \n", + "3008 -8.387085 \n", + " Bacteria.Actinobacteria.Actinobacteria.Coriobacteriales.Coriobacteriaceae.Slackia\n", + "3001 -9.500918 \n", + "3003 -9.278560 \n", + "3004 -9.269646 \n", + "3006 -9.114600 \n", + "3007 -9.643356 \n", + "3008 -8.387085 \n", + " Bacteria.Bacteroidetes.Bacteroidia.Bacteroidales.Bacteroidaceae.Bacteroides\n", + "3001 -0.8429202 \n", + "3003 -2.2258386 \n", + "3004 -0.4151243 \n", + "3006 -0.7426639 \n", + "3007 -0.5488753 \n", + "3008 -0.8374753 \n", + " Bacteria.Bacteroidetes.Bacteroidia.Bacteroidales.Porphyromonadaceae.Barnesiella\n", + "3001 -9.500918 \n", + "3003 -3.392456 \n", + "3004 -3.613655 \n", + "3006 -8.421453 \n", + "3007 -9.643356 \n", + "3008 -2.225877 \n", + " Bacteria.Bacteroidetes.Bacteroidia.Bacteroidales.Porphyromonadaceae.Butyricimonas\n", + "3001 -4.573665 \n", + "3003 -9.278560 \n", + "3004 -9.269646 \n", + "3006 -9.114600 \n", + "3007 -9.643356 \n", + "3008 -4.749498 \n", + " ...\n", + "3001 ...\n", + "3003 ...\n", + "3004 ...\n", + "3006 ...\n", + "3007 ...\n", + "3008 ...\n", + " Bacteria.Proteobacteria.Betaproteobacteria.Burkholderiales.Oxalobacteraceae.Oxalobacter\n", + "3001 -9.500918 \n", + "3003 -7.892265 \n", + "3004 -9.269646 \n", + "3006 -7.322841 \n", + "3007 -6.752984 \n", + "3008 -6.307643 \n", + " Bacteria.Proteobacteria.Betaproteobacteria.Neisseriales.Neisseriaceae.Neisseria\n", + "3001 -9.500918 \n", + "3003 -9.278560 \n", + "3004 -9.269646 \n", + "3006 -9.114600 \n", + "3007 -9.643356 \n", + "3008 -8.387085 \n", + " Bacteria.Proteobacteria.Deltaproteobacteria.Desulfovibrionales.Desulfovibrionaceae.Desulfovibrio\n", + "3001 -9.500918 \n", + "3003 -9.278560 \n", + "3004 -9.269646 \n", + "3006 -9.114600 \n", + "3007 -9.643356 \n", + "3008 -8.387085 \n", + " Bacteria.Proteobacteria.Epsilonproteobacteria.Campylobacterales.Campylobacteraceae.Campylobacter\n", + "3001 -9.500918 \n", + "3003 -8.585412 \n", + "3004 -9.269646 \n", + "3006 -9.114600 \n", + "3007 -8.950209 \n", + "3008 -8.387085 \n", + " Bacteria.Proteobacteria.Gammaproteobacteria.Aeromonadales.Succinivibrionaceae.Succinivibrio\n", + "3001 -9.500918 \n", + "3003 -9.278560 \n", + "3004 -9.269646 \n", + "3006 -9.114600 \n", + "3007 -9.643356 \n", + "3008 -8.387085 \n", + " Bacteria.Proteobacteria.Gammaproteobacteria.Pseudomonadales.Pseudomonadaceae.Pseudomonas\n", + "3001 -9.500918 \n", + "3003 -9.278560 \n", + "3004 -9.269646 \n", + "3006 -9.114600 \n", + "3007 -9.643356 \n", + "3008 -8.387085 \n", + " Bacteria.Proteobacteria.Gammaproteobacteria.Xanthomonadales.Xanthomonadaceae.Stenotrophomonas\n", + "3001 -9.500918 \n", + "3003 -9.278560 \n", + "3004 -9.269646 \n", + "3006 -9.114600 \n", + "3007 -9.643356 \n", + "3008 -8.387085 \n", + " Bacteria.Synergistetes.Synergistia.Synergistales.Synergistaceae.Cloacibacillus\n", + "3001 -9.500918 \n", + "3003 -9.278560 \n", + "3004 -9.269646 \n", + "3006 -9.114600 \n", + "3007 -9.643356 \n", + "3008 -8.387085 \n", + " Bacteria.Synergistetes.Synergistia.Synergistales.Synergistaceae.Pyramidobacter\n", + "3001 -9.500918 \n", + "3003 -9.278560 \n", + "3004 -9.269646 \n", + "3006 -9.114600 \n", + "3007 -9.643356 \n", + "3008 -8.387085 \n", + " Bacteria.Verrucomicrobia.Verrucomicrobiae.Verrucomicrobiales.Verrucomicrobiaceae.Akkermansia\n", + "3001 -9.500918 \n", + "3003 -9.278560 \n", + "3004 -9.269646 \n", + "3006 -9.114600 \n", + "3007 -9.643356 \n", + "3008 -8.387085 " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# add pesudo count 0.5\n", + "x[x == 0] <- 0.5\n", + "x <- x/rowSums(x) # relative abundance\n", + "taxa <- log(x)\n", + "dim(taxa)\n", + "head(taxa)" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", + "\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\n", + "
    pidvisitdatebirthdatesex1m2fheightcmweightkgvdatebdateageheightmbmizbmiuszbmicatusbmicat1norm2ow3ob
    3029 12-Apr-101-May-86 1 172.43 83.0 18364 9617 23.94798 1.7243 27.91595 NA 2
    3030 12-Apr-1022-May-871 178.87 70.3 18364 10003 22.89117 1.7887 21.97254 NA 1
    3031 20-Apr-101-Dec-82 2 157.60 52.0 18372 8370 27.38398 1.5760 20.93586 NA 1
    3032 22-Apr-109-Feb-86 1 188.10 89.6 18374 9536 24.19712 1.8810 25.32389 NA 2
    3033 22-Apr-109-Apr-86 2 170.03 65.2 18374 9595 24.03559 1.7003 22.55259 NA 1
    3034 28-Apr-106-Feb-86 2 162.16 59.9 18380 9533 24.22177 1.6216 22.77925 NA 1
    \n" + ], + "text/latex": [ + "\\begin{tabular}{r|llllllllllllll}\n", + " pid & visitdate & birthdate & sex1m2f & heightcm & weightkg & vdate & bdate & age & heightm & bmi & zbmius & zbmicatus & bmicat1norm2ow3ob\\\\\n", + "\\hline\n", + "\t 3029 & 12-Apr-10 & 1-May-86 & 1 & 172.43 & 83.0 & 18364 & 9617 & 23.94798 & 1.7243 & 27.91595 & NA & & 2 \\\\\n", + "\t 3030 & 12-Apr-10 & 22-May-87 & 1 & 178.87 & 70.3 & 18364 & 10003 & 22.89117 & 1.7887 & 21.97254 & NA & & 1 \\\\\n", + "\t 3031 & 20-Apr-10 & 1-Dec-82 & 2 & 157.60 & 52.0 & 18372 & 8370 & 27.38398 & 1.5760 & 20.93586 & NA & & 1 \\\\\n", + "\t 3032 & 22-Apr-10 & 9-Feb-86 & 1 & 188.10 & 89.6 & 18374 & 9536 & 24.19712 & 1.8810 & 25.32389 & NA & & 2 \\\\\n", + "\t 3033 & 22-Apr-10 & 9-Apr-86 & 2 & 170.03 & 65.2 & 18374 & 9595 & 24.03559 & 1.7003 & 22.55259 & NA & & 1 \\\\\n", + "\t 3034 & 28-Apr-10 & 6-Feb-86 & 2 & 162.16 & 59.9 & 18380 & 9533 & 24.22177 & 1.6216 & 22.77925 & NA & & 1 \\\\\n", + "\\end{tabular}\n" + ], + "text/markdown": [ + "\n", + "| pid | visitdate | birthdate | sex1m2f | heightcm | weightkg | vdate | bdate | age | heightm | bmi | zbmius | zbmicatus | bmicat1norm2ow3ob |\n", + "|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n", + "| 3029 | 12-Apr-10 | 1-May-86 | 1 | 172.43 | 83.0 | 18364 | 9617 | 23.94798 | 1.7243 | 27.91595 | NA | | 2 |\n", + "| 3030 | 12-Apr-10 | 22-May-87 | 1 | 178.87 | 70.3 | 18364 | 10003 | 22.89117 | 1.7887 | 21.97254 | NA | | 1 |\n", + "| 3031 | 20-Apr-10 | 1-Dec-82 | 2 | 157.60 | 52.0 | 18372 | 8370 | 27.38398 | 1.5760 | 20.93586 | NA | | 1 |\n", + "| 3032 | 22-Apr-10 | 9-Feb-86 | 1 | 188.10 | 89.6 | 18374 | 9536 | 24.19712 | 1.8810 | 25.32389 | NA | | 2 |\n", + "| 3033 | 22-Apr-10 | 9-Apr-86 | 2 | 170.03 | 65.2 | 18374 | 9595 | 24.03559 | 1.7003 | 22.55259 | NA | | 1 |\n", + "| 3034 | 28-Apr-10 | 6-Feb-86 | 2 | 162.16 | 59.9 | 18380 | 9533 | 24.22177 | 1.6216 | 22.77925 | NA | | 1 |\n", + "\n" + ], + "text/plain": [ + " pid visitdate birthdate sex1m2f heightcm weightkg vdate bdate age \n", + "1 3029 12-Apr-10 1-May-86 1 172.43 83.0 18364 9617 23.94798\n", + "2 3030 12-Apr-10 22-May-87 1 178.87 70.3 18364 10003 22.89117\n", + "3 3031 20-Apr-10 1-Dec-82 2 157.60 52.0 18372 8370 27.38398\n", + "4 3032 22-Apr-10 9-Feb-86 1 188.10 89.6 18374 9536 24.19712\n", + "5 3033 22-Apr-10 9-Apr-86 2 170.03 65.2 18374 9595 24.03559\n", + "6 3034 28-Apr-10 6-Feb-86 2 162.16 59.9 18380 9533 24.22177\n", + " heightm bmi zbmius zbmicatus bmicat1norm2ow3ob\n", + "1 1.7243 27.91595 NA 2 \n", + "2 1.7887 21.97254 NA 1 \n", + "3 1.5760 20.93586 NA 1 \n", + "4 1.8810 25.32389 NA 2 \n", + "5 1.7003 22.55259 NA 1 \n", + "6 1.6216 22.77925 NA 1 " + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "98" + ], + "text/latex": [ + "98" + ], + "text/markdown": [ + "98" + ], + "text/plain": [ + "[1] 98" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
      \n", + "\t
    1. 21.6186
      2. \n", + "\t
    2. 21.82244
      3. \n", + "\t
    3. 20.03762
      4. \n", + "\t
    4. 20.82412
      5. \n", + "\t
    5. 22.66875
      6. \n", + "\t
    6. 24.97552
      7. \n", + "
    \n" + ], + "text/latex": [ + "\\begin{enumerate*}\n", + "\\item 21.6186\n", + "\\item 21.82244\n", + "\\item 20.03762\n", + "\\item 20.82412\n", + "\\item 22.66875\n", + "\\item 24.97552\n", + "\\end{enumerate*}\n" + ], + "text/markdown": [ + "1. 21.6186\n", + "2. 21.82244\n", + "3. 20.03762\n", + "4. 20.82412\n", + "5. 22.66875\n", + "6. 24.97552\n", + "\n", + "\n" + ], + "text/plain": [ + "[1] 21.61860 21.82244 20.03762 20.82412 22.66875 24.97552" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# metadata\n", + "demo <- read.delim(\"../../code_Lin/cvs/data/demographic.txt\")\n", + "head(demo)\n", + "y <- demo$bmi[match(rownames(count), demo$pid)]\n", + "length(y)\n", + "head(y)" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "'matrix'" + ], + "text/latex": [ + "'matrix'" + ], + "text/markdown": [ + "'matrix'" + ], + "text/plain": [ + "[1] \"matrix\"" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "'numeric'" + ], + "text/latex": [ + "'numeric'" + ], + "text/markdown": [ + "'numeric'" + ], + "text/plain": [ + "[1] \"numeric\"" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# check datatype\n", + "class(taxa); class(y)" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [], + "source": [ + "# save processed data\n", + "save(y, taxa, file='../data_application/BMI_Lin_2014.RData')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### rough parameter ranges for this dataset" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "load('../data_application/BMI/BMI_Lin_2014.RData')" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", + "\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\n", + "
    Bacteria.Actinobacteria.Actinobacteria.Coriobacteriales.Coriobacteriaceae.AsaccharobacterBacteria.Actinobacteria.Actinobacteria.Coriobacteriales.Coriobacteriaceae.AtopobiumBacteria.Actinobacteria.Actinobacteria.Coriobacteriales.Coriobacteriaceae.CollinsellaBacteria.Actinobacteria.Actinobacteria.Coriobacteriales.Coriobacteriaceae.EggerthellaBacteria.Actinobacteria.Actinobacteria.Coriobacteriales.Coriobacteriaceae.GordonibacterBacteria.Actinobacteria.Actinobacteria.Coriobacteriales.Coriobacteriaceae.OlsenellaBacteria.Actinobacteria.Actinobacteria.Coriobacteriales.Coriobacteriaceae.SlackiaBacteria.Bacteroidetes.Bacteroidia.Bacteroidales.Bacteroidaceae.BacteroidesBacteria.Bacteroidetes.Bacteroidia.Bacteroidales.Porphyromonadaceae.BarnesiellaBacteria.Bacteroidetes.Bacteroidia.Bacteroidales.Porphyromonadaceae.Butyricimonas...Bacteria.Proteobacteria.Betaproteobacteria.Burkholderiales.Oxalobacteraceae.OxalobacterBacteria.Proteobacteria.Betaproteobacteria.Neisseriales.Neisseriaceae.NeisseriaBacteria.Proteobacteria.Deltaproteobacteria.Desulfovibrionales.Desulfovibrionaceae.DesulfovibrioBacteria.Proteobacteria.Epsilonproteobacteria.Campylobacterales.Campylobacteraceae.CampylobacterBacteria.Proteobacteria.Gammaproteobacteria.Aeromonadales.Succinivibrionaceae.SuccinivibrioBacteria.Proteobacteria.Gammaproteobacteria.Pseudomonadales.Pseudomonadaceae.PseudomonasBacteria.Proteobacteria.Gammaproteobacteria.Xanthomonadales.Xanthomonadaceae.StenotrophomonasBacteria.Synergistetes.Synergistia.Synergistales.Synergistaceae.CloacibacillusBacteria.Synergistetes.Synergistia.Synergistales.Synergistaceae.PyramidobacterBacteria.Verrucomicrobia.Verrucomicrobiae.Verrucomicrobiales.Verrucomicrobiaceae.Akkermansia
    3001-9.500918 -9.500918 -9.500918 -9.500918 -9.500918 -9.500918 -9.500918 -0.8429202-9.500918 -4.573665 ... -9.500918 -9.500918 -9.500918 -9.500918 -9.500918 -9.500918 -9.500918 -9.500918 -9.500918 -9.500918
    3003-9.278560 -9.278560 -9.278560 -9.278560 -9.278560 -9.278560 -9.278560 -2.2258386-3.392456 -9.278560 ... -7.892265 -9.278560 -9.278560 -8.585412 -9.278560 -9.278560 -9.278560 -9.278560 -9.278560 -9.278560
    3004-9.269646 -9.269646 -9.269646 -9.269646 -9.269646 -9.269646 -9.269646 -0.4151243-3.613655 -9.269646 ... -9.269646 -9.269646 -9.269646 -9.269646 -9.269646 -9.269646 -9.269646 -9.269646 -9.269646 -9.269646
    3006-9.114600 -9.114600 -9.114600 -9.114600 -9.114600 -9.114600 -9.114600 -0.7426639-8.421453 -9.114600 ... -7.322841 -9.114600 -9.114600 -9.114600 -9.114600 -9.114600 -9.114600 -9.114600 -9.114600 -9.114600
    3007-9.643356 -9.643356 -9.643356 -8.257061 -9.643356 -9.643356 -9.643356 -0.5488753-9.643356 -9.643356 ... -6.752984 -9.643356 -9.643356 -8.950209 -9.643356 -9.643356 -9.643356 -9.643356 -9.643356 -9.643356
    3008-8.387085 -8.387085 -8.387085 -7.693937 -8.387085 -8.387085 -8.387085 -0.8374753-2.225877 -4.749498 ... -6.307643 -8.387085 -8.387085 -8.387085 -8.387085 -8.387085 -8.387085 -8.387085 -8.387085 -8.387085
    \n" + ], + "text/latex": [ + "\\begin{tabular}{r|lllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllll}\n", + " & Bacteria.Actinobacteria.Actinobacteria.Coriobacteriales.Coriobacteriaceae.Asaccharobacter & Bacteria.Actinobacteria.Actinobacteria.Coriobacteriales.Coriobacteriaceae.Atopobium & Bacteria.Actinobacteria.Actinobacteria.Coriobacteriales.Coriobacteriaceae.Collinsella & Bacteria.Actinobacteria.Actinobacteria.Coriobacteriales.Coriobacteriaceae.Eggerthella & Bacteria.Actinobacteria.Actinobacteria.Coriobacteriales.Coriobacteriaceae.Gordonibacter & Bacteria.Actinobacteria.Actinobacteria.Coriobacteriales.Coriobacteriaceae.Olsenella & Bacteria.Actinobacteria.Actinobacteria.Coriobacteriales.Coriobacteriaceae.Slackia & Bacteria.Bacteroidetes.Bacteroidia.Bacteroidales.Bacteroidaceae.Bacteroides & Bacteria.Bacteroidetes.Bacteroidia.Bacteroidales.Porphyromonadaceae.Barnesiella & Bacteria.Bacteroidetes.Bacteroidia.Bacteroidales.Porphyromonadaceae.Butyricimonas & ... & Bacteria.Proteobacteria.Betaproteobacteria.Burkholderiales.Oxalobacteraceae.Oxalobacter & Bacteria.Proteobacteria.Betaproteobacteria.Neisseriales.Neisseriaceae.Neisseria & Bacteria.Proteobacteria.Deltaproteobacteria.Desulfovibrionales.Desulfovibrionaceae.Desulfovibrio & Bacteria.Proteobacteria.Epsilonproteobacteria.Campylobacterales.Campylobacteraceae.Campylobacter & Bacteria.Proteobacteria.Gammaproteobacteria.Aeromonadales.Succinivibrionaceae.Succinivibrio & Bacteria.Proteobacteria.Gammaproteobacteria.Pseudomonadales.Pseudomonadaceae.Pseudomonas & Bacteria.Proteobacteria.Gammaproteobacteria.Xanthomonadales.Xanthomonadaceae.Stenotrophomonas & Bacteria.Synergistetes.Synergistia.Synergistales.Synergistaceae.Cloacibacillus & Bacteria.Synergistetes.Synergistia.Synergistales.Synergistaceae.Pyramidobacter & Bacteria.Verrucomicrobia.Verrucomicrobiae.Verrucomicrobiales.Verrucomicrobiaceae.Akkermansia\\\\\n", + "\\hline\n", + "\t3001 & -9.500918 & -9.500918 & -9.500918 & -9.500918 & -9.500918 & -9.500918 & -9.500918 & -0.8429202 & -9.500918 & -4.573665 & ... & -9.500918 & -9.500918 & -9.500918 & -9.500918 & -9.500918 & -9.500918 & -9.500918 & -9.500918 & -9.500918 & -9.500918 \\\\\n", + "\t3003 & -9.278560 & -9.278560 & -9.278560 & -9.278560 & -9.278560 & -9.278560 & -9.278560 & -2.2258386 & -3.392456 & -9.278560 & ... & -7.892265 & -9.278560 & -9.278560 & -8.585412 & -9.278560 & -9.278560 & -9.278560 & -9.278560 & -9.278560 & -9.278560 \\\\\n", + "\t3004 & -9.269646 & -9.269646 & -9.269646 & -9.269646 & -9.269646 & -9.269646 & -9.269646 & -0.4151243 & -3.613655 & -9.269646 & ... & -9.269646 & -9.269646 & -9.269646 & -9.269646 & -9.269646 & -9.269646 & -9.269646 & -9.269646 & -9.269646 & -9.269646 \\\\\n", + "\t3006 & -9.114600 & -9.114600 & -9.114600 & -9.114600 & -9.114600 & -9.114600 & -9.114600 & -0.7426639 & -8.421453 & -9.114600 & ... & -7.322841 & -9.114600 & -9.114600 & -9.114600 & -9.114600 & -9.114600 & -9.114600 & -9.114600 & -9.114600 & -9.114600 \\\\\n", + "\t3007 & -9.643356 & -9.643356 & -9.643356 & -8.257061 & -9.643356 & -9.643356 & -9.643356 & -0.5488753 & -9.643356 & -9.643356 & ... & -6.752984 & -9.643356 & -9.643356 & -8.950209 & -9.643356 & -9.643356 & -9.643356 & -9.643356 & -9.643356 & -9.643356 \\\\\n", + "\t3008 & -8.387085 & -8.387085 & -8.387085 & -7.693937 & -8.387085 & -8.387085 & -8.387085 & -0.8374753 & -2.225877 & -4.749498 & ... & -6.307643 & -8.387085 & -8.387085 & -8.387085 & -8.387085 & -8.387085 & -8.387085 & -8.387085 & -8.387085 & -8.387085 \\\\\n", + "\\end{tabular}\n" + ], + "text/markdown": [ + "\n", + "| | Bacteria.Actinobacteria.Actinobacteria.Coriobacteriales.Coriobacteriaceae.Asaccharobacter | Bacteria.Actinobacteria.Actinobacteria.Coriobacteriales.Coriobacteriaceae.Atopobium | Bacteria.Actinobacteria.Actinobacteria.Coriobacteriales.Coriobacteriaceae.Collinsella | Bacteria.Actinobacteria.Actinobacteria.Coriobacteriales.Coriobacteriaceae.Eggerthella | Bacteria.Actinobacteria.Actinobacteria.Coriobacteriales.Coriobacteriaceae.Gordonibacter | Bacteria.Actinobacteria.Actinobacteria.Coriobacteriales.Coriobacteriaceae.Olsenella | Bacteria.Actinobacteria.Actinobacteria.Coriobacteriales.Coriobacteriaceae.Slackia | Bacteria.Bacteroidetes.Bacteroidia.Bacteroidales.Bacteroidaceae.Bacteroides | Bacteria.Bacteroidetes.Bacteroidia.Bacteroidales.Porphyromonadaceae.Barnesiella | Bacteria.Bacteroidetes.Bacteroidia.Bacteroidales.Porphyromonadaceae.Butyricimonas | ... | Bacteria.Proteobacteria.Betaproteobacteria.Burkholderiales.Oxalobacteraceae.Oxalobacter | Bacteria.Proteobacteria.Betaproteobacteria.Neisseriales.Neisseriaceae.Neisseria | Bacteria.Proteobacteria.Deltaproteobacteria.Desulfovibrionales.Desulfovibrionaceae.Desulfovibrio | Bacteria.Proteobacteria.Epsilonproteobacteria.Campylobacterales.Campylobacteraceae.Campylobacter | Bacteria.Proteobacteria.Gammaproteobacteria.Aeromonadales.Succinivibrionaceae.Succinivibrio | Bacteria.Proteobacteria.Gammaproteobacteria.Pseudomonadales.Pseudomonadaceae.Pseudomonas | Bacteria.Proteobacteria.Gammaproteobacteria.Xanthomonadales.Xanthomonadaceae.Stenotrophomonas | Bacteria.Synergistetes.Synergistia.Synergistales.Synergistaceae.Cloacibacillus | Bacteria.Synergistetes.Synergistia.Synergistales.Synergistaceae.Pyramidobacter | Bacteria.Verrucomicrobia.Verrucomicrobiae.Verrucomicrobiales.Verrucomicrobiaceae.Akkermansia |\n", + "|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n", + "| 3001 | -9.500918 | -9.500918 | -9.500918 | -9.500918 | -9.500918 | -9.500918 | -9.500918 | -0.8429202 | -9.500918 | -4.573665 | ... | -9.500918 | -9.500918 | -9.500918 | -9.500918 | -9.500918 | -9.500918 | -9.500918 | -9.500918 | -9.500918 | -9.500918 |\n", + "| 3003 | -9.278560 | -9.278560 | -9.278560 | -9.278560 | -9.278560 | -9.278560 | -9.278560 | -2.2258386 | -3.392456 | -9.278560 | ... | -7.892265 | -9.278560 | -9.278560 | -8.585412 | -9.278560 | -9.278560 | -9.278560 | -9.278560 | -9.278560 | -9.278560 |\n", + "| 3004 | -9.269646 | -9.269646 | -9.269646 | -9.269646 | -9.269646 | -9.269646 | -9.269646 | -0.4151243 | -3.613655 | -9.269646 | ... | -9.269646 | -9.269646 | -9.269646 | -9.269646 | -9.269646 | -9.269646 | -9.269646 | -9.269646 | -9.269646 | -9.269646 |\n", + "| 3006 | -9.114600 | -9.114600 | -9.114600 | -9.114600 | -9.114600 | -9.114600 | -9.114600 | -0.7426639 | -8.421453 | -9.114600 | ... | -7.322841 | -9.114600 | -9.114600 | -9.114600 | -9.114600 | -9.114600 | -9.114600 | -9.114600 | -9.114600 | -9.114600 |\n", + "| 3007 | -9.643356 | -9.643356 | -9.643356 | -8.257061 | -9.643356 | -9.643356 | -9.643356 | -0.5488753 | -9.643356 | -9.643356 | ... | -6.752984 | -9.643356 | -9.643356 | -8.950209 | -9.643356 | -9.643356 | -9.643356 | -9.643356 | -9.643356 | -9.643356 |\n", + "| 3008 | -8.387085 | -8.387085 | -8.387085 | -7.693937 | -8.387085 | -8.387085 | -8.387085 | -0.8374753 | -2.225877 | -4.749498 | ... | -6.307643 | -8.387085 | -8.387085 | -8.387085 | -8.387085 | -8.387085 | -8.387085 | -8.387085 | -8.387085 | -8.387085 |\n", + "\n" + ], + "text/plain": [ + " Bacteria.Actinobacteria.Actinobacteria.Coriobacteriales.Coriobacteriaceae.Asaccharobacter\n", + "3001 -9.500918 \n", + "3003 -9.278560 \n", + "3004 -9.269646 \n", + "3006 -9.114600 \n", + "3007 -9.643356 \n", + "3008 -8.387085 \n", + " Bacteria.Actinobacteria.Actinobacteria.Coriobacteriales.Coriobacteriaceae.Atopobium\n", + "3001 -9.500918 \n", + "3003 -9.278560 \n", + "3004 -9.269646 \n", + "3006 -9.114600 \n", + "3007 -9.643356 \n", + "3008 -8.387085 \n", + " Bacteria.Actinobacteria.Actinobacteria.Coriobacteriales.Coriobacteriaceae.Collinsella\n", + "3001 -9.500918 \n", + "3003 -9.278560 \n", + "3004 -9.269646 \n", + "3006 -9.114600 \n", + "3007 -9.643356 \n", + "3008 -8.387085 \n", + " Bacteria.Actinobacteria.Actinobacteria.Coriobacteriales.Coriobacteriaceae.Eggerthella\n", + "3001 -9.500918 \n", + "3003 -9.278560 \n", + "3004 -9.269646 \n", + "3006 -9.114600 \n", + "3007 -8.257061 \n", + "3008 -7.693937 \n", + " Bacteria.Actinobacteria.Actinobacteria.Coriobacteriales.Coriobacteriaceae.Gordonibacter\n", + "3001 -9.500918 \n", + "3003 -9.278560 \n", + "3004 -9.269646 \n", + "3006 -9.114600 \n", + "3007 -9.643356 \n", + "3008 -8.387085 \n", + " Bacteria.Actinobacteria.Actinobacteria.Coriobacteriales.Coriobacteriaceae.Olsenella\n", + "3001 -9.500918 \n", + "3003 -9.278560 \n", + "3004 -9.269646 \n", + "3006 -9.114600 \n", + "3007 -9.643356 \n", + "3008 -8.387085 \n", + " Bacteria.Actinobacteria.Actinobacteria.Coriobacteriales.Coriobacteriaceae.Slackia\n", + "3001 -9.500918 \n", + "3003 -9.278560 \n", + "3004 -9.269646 \n", + "3006 -9.114600 \n", + "3007 -9.643356 \n", + "3008 -8.387085 \n", + " Bacteria.Bacteroidetes.Bacteroidia.Bacteroidales.Bacteroidaceae.Bacteroides\n", + "3001 -0.8429202 \n", + "3003 -2.2258386 \n", + "3004 -0.4151243 \n", + "3006 -0.7426639 \n", + "3007 -0.5488753 \n", + "3008 -0.8374753 \n", + " Bacteria.Bacteroidetes.Bacteroidia.Bacteroidales.Porphyromonadaceae.Barnesiella\n", + "3001 -9.500918 \n", + "3003 -3.392456 \n", + "3004 -3.613655 \n", + "3006 -8.421453 \n", + "3007 -9.643356 \n", + "3008 -2.225877 \n", + " Bacteria.Bacteroidetes.Bacteroidia.Bacteroidales.Porphyromonadaceae.Butyricimonas\n", + "3001 -4.573665 \n", + "3003 -9.278560 \n", + "3004 -9.269646 \n", + "3006 -9.114600 \n", + "3007 -9.643356 \n", + "3008 -4.749498 \n", + " ...\n", + "3001 ...\n", + "3003 ...\n", + "3004 ...\n", + "3006 ...\n", + "3007 ...\n", + "3008 ...\n", + " Bacteria.Proteobacteria.Betaproteobacteria.Burkholderiales.Oxalobacteraceae.Oxalobacter\n", + "3001 -9.500918 \n", + "3003 -7.892265 \n", + "3004 -9.269646 \n", + "3006 -7.322841 \n", + "3007 -6.752984 \n", + "3008 -6.307643 \n", + " Bacteria.Proteobacteria.Betaproteobacteria.Neisseriales.Neisseriaceae.Neisseria\n", + "3001 -9.500918 \n", + "3003 -9.278560 \n", + "3004 -9.269646 \n", + "3006 -9.114600 \n", + "3007 -9.643356 \n", + "3008 -8.387085 \n", + " Bacteria.Proteobacteria.Deltaproteobacteria.Desulfovibrionales.Desulfovibrionaceae.Desulfovibrio\n", + "3001 -9.500918 \n", + "3003 -9.278560 \n", + "3004 -9.269646 \n", + "3006 -9.114600 \n", + "3007 -9.643356 \n", + "3008 -8.387085 \n", + " Bacteria.Proteobacteria.Epsilonproteobacteria.Campylobacterales.Campylobacteraceae.Campylobacter\n", + "3001 -9.500918 \n", + "3003 -8.585412 \n", + "3004 -9.269646 \n", + "3006 -9.114600 \n", + "3007 -8.950209 \n", + "3008 -8.387085 \n", + " Bacteria.Proteobacteria.Gammaproteobacteria.Aeromonadales.Succinivibrionaceae.Succinivibrio\n", + "3001 -9.500918 \n", + "3003 -9.278560 \n", + "3004 -9.269646 \n", + "3006 -9.114600 \n", + "3007 -9.643356 \n", + "3008 -8.387085 \n", + " Bacteria.Proteobacteria.Gammaproteobacteria.Pseudomonadales.Pseudomonadaceae.Pseudomonas\n", + "3001 -9.500918 \n", + "3003 -9.278560 \n", + "3004 -9.269646 \n", + "3006 -9.114600 \n", + "3007 -9.643356 \n", + "3008 -8.387085 \n", + " Bacteria.Proteobacteria.Gammaproteobacteria.Xanthomonadales.Xanthomonadaceae.Stenotrophomonas\n", + "3001 -9.500918 \n", + "3003 -9.278560 \n", + "3004 -9.269646 \n", + "3006 -9.114600 \n", + "3007 -9.643356 \n", + "3008 -8.387085 \n", + " Bacteria.Synergistetes.Synergistia.Synergistales.Synergistaceae.Cloacibacillus\n", + "3001 -9.500918 \n", + "3003 -9.278560 \n", + "3004 -9.269646 \n", + "3006 -9.114600 \n", + "3007 -9.643356 \n", + "3008 -8.387085 \n", + " Bacteria.Synergistetes.Synergistia.Synergistales.Synergistaceae.Pyramidobacter\n", + "3001 -9.500918 \n", + "3003 -9.278560 \n", + "3004 -9.269646 \n", + "3006 -9.114600 \n", + "3007 -9.643356 \n", + "3008 -8.387085 \n", + " Bacteria.Verrucomicrobia.Verrucomicrobiae.Verrucomicrobiales.Verrucomicrobiaceae.Akkermansia\n", + "3001 -9.500918 \n", + "3003 -9.278560 \n", + "3004 -9.269646 \n", + "3006 -9.114600 \n", + "3007 -9.643356 \n", + "3008 -8.387085 " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "\n", + "head(taxa)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": {}, + "outputs": [], + "source": [ + "# lasso/elnet: use glmnet default lambda sequence\n", + "library(glmnet)\n", + "\n", + "result_lasso = cv.glmnet(taxa, y, family='gaussian', lambda=NULL, alpha=1, nfolds=10) # use default glmnet sequence" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Warning message in plot.window(...):\n", + "“\"xvar\" is not a graphical parameter”Warning message in plot.window(...):\n", + "“\"label\" is not a graphical parameter”Warning message in plot.xy(xy, type, ...):\n", + "“\"xvar\" is not a graphical parameter”Warning message in plot.xy(xy, type, ...):\n", + "“\"label\" is not a graphical parameter”Warning message in axis(side = side, at = at, labels = labels, ...):\n", + "“\"xvar\" is not a graphical parameter”Warning message in axis(side = side, at = at, labels = labels, ...):\n", + "“\"label\" is not a graphical parameter”Warning message in axis(side = side, at = at, labels = labels, ...):\n", + "“\"xvar\" is not a graphical parameter”Warning message in axis(side = side, at = at, labels = labels, ...):\n", + "“\"label\" is not a graphical parameter”Warning message in box(...):\n", + "“\"xvar\" is not a graphical parameter”Warning message in box(...):\n", + "“\"label\" is not a graphical parameter”Warning message in title(...):\n", + "“\"xvar\" is not a graphical parameter”Warning message in title(...):\n", + "“\"label\" is not a graphical parameter”" + ] + }, + { + "data": { + "image/png": "iVBORw0KGgoAAAANSUhEUgAAA0gAAANICAYAAAD958/bAAAEGWlDQ1BrQ0dDb2xvclNwYWNl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", + "text/plain": [ + "plot without title" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plot(result_lasso,xvar=\"lambda\",label=TRUE,lwd=3)\n", + "abline(h=0)" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "0.710534131233623" + ], + "text/latex": [ + "0.710534131233623" + ], + "text/markdown": [ + "0.710534131233623" + ], + "text/plain": [ + "[1] 0.7105341" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "log(result_lasso$lambda.1se)" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": {}, + "outputs": [], + "source": [ + "result_lasso2 = cv.glmnet(taxa, y, family='gaussian', alpha=1, nfolds=10, lambda=exp(seq(-4, 5, 0.5)))" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Warning message in plot.window(...):\n", + "“\"xvar\" is not a graphical parameter”Warning message in plot.window(...):\n", + "“\"label\" is not a graphical parameter”Warning message in plot.xy(xy, type, ...):\n", + "“\"xvar\" is not a graphical parameter”Warning message in plot.xy(xy, type, ...):\n", + "“\"label\" is not a graphical parameter”Warning message in axis(side = side, at = at, labels = labels, ...):\n", + "“\"xvar\" is not a graphical parameter”Warning message in axis(side = side, at = at, labels = labels, ...):\n", + "“\"label\" is not a graphical parameter”Warning message in axis(side = side, at = at, labels = labels, ...):\n", + "“\"xvar\" is not a graphical parameter”Warning message in axis(side = side, at = at, labels = labels, ...):\n", + "“\"label\" is not a graphical parameter”Warning message in box(...):\n", + "“\"xvar\" is not a graphical parameter”Warning message in box(...):\n", + "“\"label\" is not a graphical parameter”Warning message in title(...):\n", + "“\"xvar\" is not a graphical parameter”Warning message in title(...):\n", + "“\"label\" is not a graphical parameter”" + ] + }, + { + "data": { + "image/png": "iVBORw0KGgoAAAANSUhEUgAAA0gAAANICAYAAAD958/bAAAEGWlDQ1BrQ0dDb2xvclNwYWNl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", + "text/plain": [ + "plot without title" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plot(result_lasso2,xvar=\"lambda\",label=TRUE,lwd=3)\n", + "abline(h=0)" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "5" + ], + "text/latex": [ + "5" + ], + "text/markdown": [ + "5" + ], + "text/plain": [ + "[1] 5" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "log(result_lasso2$lambda.1se)" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "metadata": {}, + "outputs": [], + "source": [ + "## random forest\n", + "library(ranger)" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Ranger result\n", + "\n", + "Call:\n", + " ranger(y ~ ., data = data) \n", + "\n", + "Type: Regression \n", + "Number of trees: 500 \n", + "Sample size: 98 \n", + "Number of independent variables: 87 \n", + "Mtry: 9 \n", + "Target node size: 5 \n", + "Variable importance mode: none \n", + "Splitrule: variance \n", + "OOB prediction error (MSE): 27.88997 \n", + "R squared (OOB): 0.05204112 " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "data = as.data.frame(cbind(y, taxa)) \n", + "rf.fit = ranger(y ~ ., data=data)\n", + "rf.fit # current mtry grid seq(5, 25, 5) is good" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "R", + "language": "R", + "name": "ir" + }, + "language_info": { + "codemirror_mode": "r", + "file_extension": ".r", + "mimetype": "text/x-r-source", + "name": "R", + "pygments_lexer": "r", + "version": "3.6.1" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/data_application/notebooks_application/1.2. BMI_results.ipynb b/data_application/notebooks_application/1.2. BMI_results.ipynb new file mode 100644 index 0000000..f9b0ee1 --- /dev/null +++ b/data_application/notebooks_application/1.2. BMI_results.ipynb @@ -0,0 +1,341 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# original size: 98/87=1.13; probably better to use original size to keep consistent " + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "# example: p/n approx 1; simialr to block Corr 0.1 situation (highly unstable)" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "load('../data_application/BMI/BMI_compLasso.RData')\n", + "load('../data_application/BMI/BMI_elnet.RData')\n", + "load('../data_application/BMI/BMI_lasso.RData')\n", + "load('../data_application/BMI/BMI_rf.RData')" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
      \n", + "\t
    1. 0.24
      2. \n", + "\t
    2. 23.61
      3. \n", + "
    \n" + ], + "text/latex": [ + "\\begin{enumerate*}\n", + "\\item 0.24\n", + "\\item 23.61\n", + "\\end{enumerate*}\n" + ], + "text/markdown": [ + "1. 0.24\n", + "2. 23.61\n", + "\n", + "\n" + ], + "text/plain": [ + "[1] 0.24 23.61" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "c(out_compLasso$stab_index, out_compLasso$MSE_mean)" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
      \n", + "\t
    1. 0.14
      2. \n", + "\t
    2. 26.95
      3. \n", + "
    \n" + ], + "text/latex": [ + "\\begin{enumerate*}\n", + "\\item 0.14\n", + "\\item 26.95\n", + "\\end{enumerate*}\n" + ], + "text/markdown": [ + "1. 0.14\n", + "2. 26.95\n", + "\n", + "\n" + ], + "text/plain": [ + "[1] 0.14 26.95" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "c(out_lasso$stab_index, out_lasso$MSE_mean) " + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
      \n", + "\t
    1. 0.23
      2. \n", + "\t
    2. 26.12
      3. \n", + "
    \n" + ], + "text/latex": [ + "\\begin{enumerate*}\n", + "\\item 0.23\n", + "\\item 26.12\n", + "\\end{enumerate*}\n" + ], + "text/markdown": [ + "1. 0.23\n", + "2. 26.12\n", + "\n", + "\n" + ], + "text/plain": [ + "[1] 0.23 26.12" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "c(out_elnet$stab_index, out_elnet$MSE_mean)" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
      \n", + "\t
    1. 0.04
      2. \n", + "\t
    2. 5.48
      3. \n", + "
    \n" + ], + "text/latex": [ + "\\begin{enumerate*}\n", + "\\item 0.04\n", + "\\item 5.48\n", + "\\end{enumerate*}\n" + ], + "text/markdown": [ + "1. 0.04\n", + "2. 5.48\n", + "\n", + "\n" + ], + "text/plain": [ + "[1] 0.04 5.48" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "c(out_rf$stab_index, out_rf$MSE_mean)" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [], + "source": [ + "# conclusion: based on stability -- compLasso the best: compLasso > Elnet > Lasso > RF\n", + "# based on MSE -- random forest with altman the best: RF > compLasso > Elnet > Lasso " + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### add selection probability for each feature selection methods" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [], + "source": [ + "load('../data_application/BMI/BMI_Lin_2014.RData')" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [], + "source": [ + "prob_compLasso = colSums(out_compLasso$stab_table)/dim(out_compLasso$stab_table)[1]\n", + "prob_lasso = colSums(out_lasso$stab_table)/dim(out_lasso$stab_table)[1]\n", + "prob_elnet = colSums(out_elnet$stab_table)/dim(out_elnet$stab_table)[1]\n", + "prob_rf= colSums(out_rf$stab_table)/dim(out_rf$stab_table)[1]\n", + "feature_prob = t(data.frame(rbind(prob_compLasso, prob_lasso, prob_elnet, prob_rf)))" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", + "\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\n", + "
    prob_compLassoprob_lassoprob_elnetprob_rf
    Bacteria.Firmicutes.Clostridia.Clostridiales.Clostridiaceae.Clostridium0.810.520.960.24
    Bacteria.Firmicutes.Clostridia.Clostridiales.Veillonellaceae.Acidaminococcus0.780.530.930.36
    Bacteria.Firmicutes.Clostridia.Clostridiales.Veillonellaceae.Allisonella0.770.540.910.39
    Bacteria.Bacteroidetes.Bacteroidia.Bacteroidales.Rikenellaceae.Alistipes0.570.300.870.16
    Bacteria.Firmicutes.Clostridia.Clostridiales.Ruminococcaceae.Oscillibacter0.540.210.640.13
    Bacteria.Firmicutes.Clostridia.Clostridiales.Veillonellaceae.Megasphaera0.460.310.790.08
    \n" + ], + "text/latex": [ + "\\begin{tabular}{r|llll}\n", + " & prob\\_compLasso & prob\\_lasso & prob\\_elnet & prob\\_rf\\\\\n", + "\\hline\n", + "\tBacteria.Firmicutes.Clostridia.Clostridiales.Clostridiaceae.Clostridium & 0.81 & 0.52 & 0.96 & 0.24\\\\\n", + "\tBacteria.Firmicutes.Clostridia.Clostridiales.Veillonellaceae.Acidaminococcus & 0.78 & 0.53 & 0.93 & 0.36\\\\\n", + "\tBacteria.Firmicutes.Clostridia.Clostridiales.Veillonellaceae.Allisonella & 0.77 & 0.54 & 0.91 & 0.39\\\\\n", + "\tBacteria.Bacteroidetes.Bacteroidia.Bacteroidales.Rikenellaceae.Alistipes & 0.57 & 0.30 & 0.87 & 0.16\\\\\n", + "\tBacteria.Firmicutes.Clostridia.Clostridiales.Ruminococcaceae.Oscillibacter & 0.54 & 0.21 & 0.64 & 0.13\\\\\n", + "\tBacteria.Firmicutes.Clostridia.Clostridiales.Veillonellaceae.Megasphaera & 0.46 & 0.31 & 0.79 & 0.08\\\\\n", + "\\end{tabular}\n" + ], + "text/markdown": [ + "\n", + "| | prob_compLasso | prob_lasso | prob_elnet | prob_rf |\n", + "|---|---|---|---|---|\n", + "| Bacteria.Firmicutes.Clostridia.Clostridiales.Clostridiaceae.Clostridium | 0.81 | 0.52 | 0.96 | 0.24 |\n", + "| Bacteria.Firmicutes.Clostridia.Clostridiales.Veillonellaceae.Acidaminococcus | 0.78 | 0.53 | 0.93 | 0.36 |\n", + "| Bacteria.Firmicutes.Clostridia.Clostridiales.Veillonellaceae.Allisonella | 0.77 | 0.54 | 0.91 | 0.39 |\n", + "| Bacteria.Bacteroidetes.Bacteroidia.Bacteroidales.Rikenellaceae.Alistipes | 0.57 | 0.30 | 0.87 | 0.16 |\n", + "| Bacteria.Firmicutes.Clostridia.Clostridiales.Ruminococcaceae.Oscillibacter | 0.54 | 0.21 | 0.64 | 0.13 |\n", + "| Bacteria.Firmicutes.Clostridia.Clostridiales.Veillonellaceae.Megasphaera | 0.46 | 0.31 | 0.79 | 0.08 |\n", + "\n" + ], + "text/plain": [ + " prob_compLasso\n", + "Bacteria.Firmicutes.Clostridia.Clostridiales.Clostridiaceae.Clostridium 0.81 \n", + "Bacteria.Firmicutes.Clostridia.Clostridiales.Veillonellaceae.Acidaminococcus 0.78 \n", + "Bacteria.Firmicutes.Clostridia.Clostridiales.Veillonellaceae.Allisonella 0.77 \n", + "Bacteria.Bacteroidetes.Bacteroidia.Bacteroidales.Rikenellaceae.Alistipes 0.57 \n", + "Bacteria.Firmicutes.Clostridia.Clostridiales.Ruminococcaceae.Oscillibacter 0.54 \n", + "Bacteria.Firmicutes.Clostridia.Clostridiales.Veillonellaceae.Megasphaera 0.46 \n", + " prob_lasso\n", + "Bacteria.Firmicutes.Clostridia.Clostridiales.Clostridiaceae.Clostridium 0.52 \n", + "Bacteria.Firmicutes.Clostridia.Clostridiales.Veillonellaceae.Acidaminococcus 0.53 \n", + "Bacteria.Firmicutes.Clostridia.Clostridiales.Veillonellaceae.Allisonella 0.54 \n", + "Bacteria.Bacteroidetes.Bacteroidia.Bacteroidales.Rikenellaceae.Alistipes 0.30 \n", + "Bacteria.Firmicutes.Clostridia.Clostridiales.Ruminococcaceae.Oscillibacter 0.21 \n", + "Bacteria.Firmicutes.Clostridia.Clostridiales.Veillonellaceae.Megasphaera 0.31 \n", + " prob_elnet\n", + "Bacteria.Firmicutes.Clostridia.Clostridiales.Clostridiaceae.Clostridium 0.96 \n", + "Bacteria.Firmicutes.Clostridia.Clostridiales.Veillonellaceae.Acidaminococcus 0.93 \n", + "Bacteria.Firmicutes.Clostridia.Clostridiales.Veillonellaceae.Allisonella 0.91 \n", + "Bacteria.Bacteroidetes.Bacteroidia.Bacteroidales.Rikenellaceae.Alistipes 0.87 \n", + "Bacteria.Firmicutes.Clostridia.Clostridiales.Ruminococcaceae.Oscillibacter 0.64 \n", + "Bacteria.Firmicutes.Clostridia.Clostridiales.Veillonellaceae.Megasphaera 0.79 \n", + " prob_rf\n", + "Bacteria.Firmicutes.Clostridia.Clostridiales.Clostridiaceae.Clostridium 0.24 \n", + "Bacteria.Firmicutes.Clostridia.Clostridiales.Veillonellaceae.Acidaminococcus 0.36 \n", + "Bacteria.Firmicutes.Clostridia.Clostridiales.Veillonellaceae.Allisonella 0.39 \n", + "Bacteria.Bacteroidetes.Bacteroidia.Bacteroidales.Rikenellaceae.Alistipes 0.16 \n", + "Bacteria.Firmicutes.Clostridia.Clostridiales.Ruminococcaceae.Oscillibacter 0.13 \n", + "Bacteria.Firmicutes.Clostridia.Clostridiales.Veillonellaceae.Megasphaera 0.08 " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "rownames(feature_prob) = colnames(taxa)\n", + "head(feature_prob[order(-feature_prob[, 1]), ]) # descending order" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": {}, + "outputs": [], + "source": [ + "write.table(feature_prob, file='../data_application/bmi/bmi_slection_prob.txt', sep='\\t', col.names=NA)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# summary: similar top chosen taxa from compLasso as with Lin's paper, though we have lower selection prob\n", + "# good news: top taxa all have high selection probability acrss methods" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "R", + "language": "R", + "name": "ir" + }, + "language_info": { + "codemirror_mode": "r", + "file_extension": ".r", + "mimetype": "text/x-r-source", + "name": "R", + "pygments_lexer": "r", + "version": "3.6.1" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/data_application/notebooks_application/1.2.2 BMI_results_filtered1%.ipynb b/data_application/notebooks_application/1.2.2 BMI_results_filtered1%.ipynb new file mode 100644 index 0000000..64844ea --- /dev/null +++ b/data_application/notebooks_application/1.2.2 BMI_results_filtered1%.ipynb @@ -0,0 +1,441 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "load('../data_application/BMI/filter_onepercent/BMI_compLasso.RData')\n", + "load('../data_application/BMI/filter_onepercent/BMI_elnet.RData')\n", + "load('../data_application/BMI/filter_onepercent/BMI_lasso.RData')\n", + "load('../data_application/BMI/filter_onepercent/BMI_rf.RData')" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
      \n", + "\t
    1. 0.22
      2. \n", + "\t
    2. 21.59
      3. \n", + "
    \n" + ], + "text/latex": [ + "\\begin{enumerate*}\n", + "\\item 0.22\n", + "\\item 21.59\n", + "\\end{enumerate*}\n" + ], + "text/markdown": [ + "1. 0.22\n", + "2. 21.59\n", + "\n", + "\n" + ], + "text/plain": [ + "[1] 0.22 21.59" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "c(out_compLasso$stab_index, out_compLasso$MSE_mean)" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
      \n", + "\t
    1. 0.14
      2. \n", + "\t
    2. 24.07
      3. \n", + "
    \n" + ], + "text/latex": [ + "\\begin{enumerate*}\n", + "\\item 0.14\n", + "\\item 24.07\n", + "\\end{enumerate*}\n" + ], + "text/markdown": [ + "1. 0.14\n", + "2. 24.07\n", + "\n", + "\n" + ], + "text/plain": [ + "[1] 0.14 24.07" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "c(out_lasso$stab_index, out_lasso$MSE_mean) " + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
      \n", + "\t
    1. 0.23
      2. \n", + "\t
    2. 25.33
      3. \n", + "
    \n" + ], + "text/latex": [ + "\\begin{enumerate*}\n", + "\\item 0.23\n", + "\\item 25.33\n", + "\\end{enumerate*}\n" + ], + "text/markdown": [ + "1. 0.23\n", + "2. 25.33\n", + "\n", + "\n" + ], + "text/plain": [ + "[1] 0.23 25.33" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "c(out_elnet$stab_index, out_elnet$MSE_mean)" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
      \n", + "\t
    1. 0.02
      2. \n", + "\t
    2. 4.99
      3. \n", + "
    \n" + ], + "text/latex": [ + "\\begin{enumerate*}\n", + "\\item 0.02\n", + "\\item 4.99\n", + "\\end{enumerate*}\n" + ], + "text/markdown": [ + "1. 0.02\n", + "2. 4.99\n", + "\n", + "\n" + ], + "text/plain": [ + "[1] 0.02 4.99" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "c(out_rf$stab_index, out_rf$MSE_mean)" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", + "\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\n", + "
    datasetmethodmsestability
    bmi_gut lasso 24.07 0.14
    bmi_gut elent 25.33 0.23
    bmi_gut rf 4.99 0.02
    bmi_gut compLasso21.59 0.22
    \n" + ], + "text/latex": [ + "\\begin{tabular}{r|llll}\n", + " dataset & method & mse & stability\\\\\n", + "\\hline\n", + "\t bmi\\_gut & lasso & 24.07 & 0.14 \\\\\n", + "\t bmi\\_gut & elent & 25.33 & 0.23 \\\\\n", + "\t bmi\\_gut & rf & 4.99 & 0.02 \\\\\n", + "\t bmi\\_gut & compLasso & 21.59 & 0.22 \\\\\n", + "\\end{tabular}\n" + ], + "text/markdown": [ + "\n", + "| dataset | method | mse | stability |\n", + "|---|---|---|---|\n", + "| bmi_gut | lasso | 24.07 | 0.14 |\n", + "| bmi_gut | elent | 25.33 | 0.23 |\n", + "| bmi_gut | rf | 4.99 | 0.02 |\n", + "| bmi_gut | compLasso | 21.59 | 0.22 |\n", + "\n" + ], + "text/plain": [ + " dataset method mse stability\n", + "1 bmi_gut lasso 24.07 0.14 \n", + "2 bmi_gut elent 25.33 0.23 \n", + "3 bmi_gut rf 4.99 0.02 \n", + "4 bmi_gut compLasso 21.59 0.22 " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# combine and export results\n", + "bmi_gut = as.data.frame(matrix(NA, nrow=4, ncol=4))\n", + "colnames(bmi_gut) = c('dataset', 'method', 'mse', 'stability')\n", + "bmi_gut$dataset = 'bmi_gut'\n", + "bmi_gut$method = c('lasso', 'elent', 'rf', 'compLasso')\n", + "bmi_gut$mse = c(out_lasso$MSE_mean, out_elnet$MSE_mean, out_rf$MSE_mean, out_compLasso$MSE_mean)\n", + "bmi_gut$stability = c(out_lasso$stab_index, out_elnet$stab_index, out_rf$stab_index, out_compLasso$stab_index)\n", + "bmi_gut\n", + "#write.table(bmi_gut, file='../data_application/BMI/filter_onepercent/table_bmi_gut.txt', sep='\\t', row.names=F)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### add selection probability for each feature selection methods" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [], + "source": [ + "load('../data_application/BMI/filter_onepercent/BMI_Lin_2014.RData')" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
      \n", + "\t
    1. 98
      2. \n", + "\t
    2. 87
      3. \n", + "
    \n" + ], + "text/latex": [ + "\\begin{enumerate*}\n", + "\\item 98\n", + "\\item 87\n", + "\\end{enumerate*}\n" + ], + "text/markdown": [ + "1. 98\n", + "2. 87\n", + "\n", + "\n" + ], + "text/plain": [ + "[1] 98 87" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "dim(taxa)" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [], + "source": [ + "prob_compLasso = colSums(out_compLasso$stab_table)/dim(out_compLasso$stab_table)[1]\n", + "prob_lasso = colSums(out_lasso$stab_table)/dim(out_lasso$stab_table)[1]\n", + "prob_elnet = colSums(out_elnet$stab_table)/dim(out_elnet$stab_table)[1]\n", + "prob_rf= colSums(out_rf$stab_table)/dim(out_rf$stab_table)[1]\n", + "feature_prob = t(data.frame(rbind(prob_compLasso, prob_lasso, prob_elnet, prob_rf)))" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", + "\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\n", + "
    prob_compLassoprob_lassoprob_elnetprob_rf
    Bacteria.Firmicutes.Clostridia.Clostridiales.Clostridiaceae.Clostridium0.810.430.970.18
    Bacteria.Firmicutes.Clostridia.Clostridiales.Veillonellaceae.Acidaminococcus0.810.550.940.35
    Bacteria.Firmicutes.Clostridia.Clostridiales.Veillonellaceae.Allisonella0.670.450.850.25
    Bacteria.Firmicutes.Clostridia.Clostridiales.Ruminococcaceae.Oscillibacter0.490.200.800.13
    Bacteria.Bacteroidetes.Bacteroidia.Bacteroidales.Rikenellaceae.Alistipes0.480.190.900.14
    Bacteria.Firmicutes.Clostridia.Clostridiales.Lachnospiraceae.Dorea0.440.250.740.11
    \n" + ], + "text/latex": [ + "\\begin{tabular}{r|llll}\n", + " & prob\\_compLasso & prob\\_lasso & prob\\_elnet & prob\\_rf\\\\\n", + "\\hline\n", + "\tBacteria.Firmicutes.Clostridia.Clostridiales.Clostridiaceae.Clostridium & 0.81 & 0.43 & 0.97 & 0.18\\\\\n", + "\tBacteria.Firmicutes.Clostridia.Clostridiales.Veillonellaceae.Acidaminococcus & 0.81 & 0.55 & 0.94 & 0.35\\\\\n", + "\tBacteria.Firmicutes.Clostridia.Clostridiales.Veillonellaceae.Allisonella & 0.67 & 0.45 & 0.85 & 0.25\\\\\n", + "\tBacteria.Firmicutes.Clostridia.Clostridiales.Ruminococcaceae.Oscillibacter & 0.49 & 0.20 & 0.80 & 0.13\\\\\n", + "\tBacteria.Bacteroidetes.Bacteroidia.Bacteroidales.Rikenellaceae.Alistipes & 0.48 & 0.19 & 0.90 & 0.14\\\\\n", + "\tBacteria.Firmicutes.Clostridia.Clostridiales.Lachnospiraceae.Dorea & 0.44 & 0.25 & 0.74 & 0.11\\\\\n", + "\\end{tabular}\n" + ], + "text/markdown": [ + "\n", + "| | prob_compLasso | prob_lasso | prob_elnet | prob_rf |\n", + "|---|---|---|---|---|\n", + "| Bacteria.Firmicutes.Clostridia.Clostridiales.Clostridiaceae.Clostridium | 0.81 | 0.43 | 0.97 | 0.18 |\n", + "| Bacteria.Firmicutes.Clostridia.Clostridiales.Veillonellaceae.Acidaminococcus | 0.81 | 0.55 | 0.94 | 0.35 |\n", + "| Bacteria.Firmicutes.Clostridia.Clostridiales.Veillonellaceae.Allisonella | 0.67 | 0.45 | 0.85 | 0.25 |\n", + "| Bacteria.Firmicutes.Clostridia.Clostridiales.Ruminococcaceae.Oscillibacter | 0.49 | 0.20 | 0.80 | 0.13 |\n", + "| Bacteria.Bacteroidetes.Bacteroidia.Bacteroidales.Rikenellaceae.Alistipes | 0.48 | 0.19 | 0.90 | 0.14 |\n", + "| Bacteria.Firmicutes.Clostridia.Clostridiales.Lachnospiraceae.Dorea | 0.44 | 0.25 | 0.74 | 0.11 |\n", + "\n" + ], + "text/plain": [ + " prob_compLasso\n", + "Bacteria.Firmicutes.Clostridia.Clostridiales.Clostridiaceae.Clostridium 0.81 \n", + "Bacteria.Firmicutes.Clostridia.Clostridiales.Veillonellaceae.Acidaminococcus 0.81 \n", + "Bacteria.Firmicutes.Clostridia.Clostridiales.Veillonellaceae.Allisonella 0.67 \n", + "Bacteria.Firmicutes.Clostridia.Clostridiales.Ruminococcaceae.Oscillibacter 0.49 \n", + "Bacteria.Bacteroidetes.Bacteroidia.Bacteroidales.Rikenellaceae.Alistipes 0.48 \n", + "Bacteria.Firmicutes.Clostridia.Clostridiales.Lachnospiraceae.Dorea 0.44 \n", + " prob_lasso\n", + "Bacteria.Firmicutes.Clostridia.Clostridiales.Clostridiaceae.Clostridium 0.43 \n", + "Bacteria.Firmicutes.Clostridia.Clostridiales.Veillonellaceae.Acidaminococcus 0.55 \n", + "Bacteria.Firmicutes.Clostridia.Clostridiales.Veillonellaceae.Allisonella 0.45 \n", + "Bacteria.Firmicutes.Clostridia.Clostridiales.Ruminococcaceae.Oscillibacter 0.20 \n", + "Bacteria.Bacteroidetes.Bacteroidia.Bacteroidales.Rikenellaceae.Alistipes 0.19 \n", + "Bacteria.Firmicutes.Clostridia.Clostridiales.Lachnospiraceae.Dorea 0.25 \n", + " prob_elnet\n", + "Bacteria.Firmicutes.Clostridia.Clostridiales.Clostridiaceae.Clostridium 0.97 \n", + "Bacteria.Firmicutes.Clostridia.Clostridiales.Veillonellaceae.Acidaminococcus 0.94 \n", + "Bacteria.Firmicutes.Clostridia.Clostridiales.Veillonellaceae.Allisonella 0.85 \n", + "Bacteria.Firmicutes.Clostridia.Clostridiales.Ruminococcaceae.Oscillibacter 0.80 \n", + "Bacteria.Bacteroidetes.Bacteroidia.Bacteroidales.Rikenellaceae.Alistipes 0.90 \n", + "Bacteria.Firmicutes.Clostridia.Clostridiales.Lachnospiraceae.Dorea 0.74 \n", + " prob_rf\n", + "Bacteria.Firmicutes.Clostridia.Clostridiales.Clostridiaceae.Clostridium 0.18 \n", + "Bacteria.Firmicutes.Clostridia.Clostridiales.Veillonellaceae.Acidaminococcus 0.35 \n", + "Bacteria.Firmicutes.Clostridia.Clostridiales.Veillonellaceae.Allisonella 0.25 \n", + "Bacteria.Firmicutes.Clostridia.Clostridiales.Ruminococcaceae.Oscillibacter 0.13 \n", + "Bacteria.Bacteroidetes.Bacteroidia.Bacteroidales.Rikenellaceae.Alistipes 0.14 \n", + "Bacteria.Firmicutes.Clostridia.Clostridiales.Lachnospiraceae.Dorea 0.11 " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "rownames(feature_prob) = colnames(taxa)\n", + "head(feature_prob[order(-feature_prob[, 1]), ]) # descending order" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [], + "source": [ + "write.table(feature_prob, file='../data_application/bmi/filter_onepercent/bmi_slection_prob.txt', sep='\\t', col.names=NA)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# two highest from compLasso (both 0.81): Clostridium & Acidaminococcus (confirmed by Lin + Muller's paper)\n", + "# these two are also highest with Elnet (0.97, 0.94); \n", + "# note that 3rd highest in Elnet (Megamonas:0.92) were not found with previous studies" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# order of genus in Lin's paper (highest to lowest on Stab.sel)\n", + "# Clostridium > Acidaminococcus > Alistipes > Allisonella" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# two most important from Muller's paper\n", + "# stongest negative: cloristidum\n", + "# strongest postitive: Acidaminococcus" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "R", + "language": "R", + "name": "ir" + }, + "language_info": { + "codemirror_mode": "r", + "file_extension": ".r", + "mimetype": "text/x-r-source", + "name": "R", + "pygments_lexer": "r", + "version": "3.6.1" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/data_application/notebooks_application/1.3 BMI_testing.ipynb b/data_application/notebooks_application/1.3 BMI_testing.ipynb new file mode 100644 index 0000000..2d405fa --- /dev/null +++ b/data_application/notebooks_application/1.3 BMI_testing.ipynb @@ -0,0 +1,61638 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "load('../data_application/BMI/boot/BMI_boot_compLasso.RData')\n", + "load('../data_application/BMI/boot/BMI_boot_rf.RData')" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
    \n", + "\t
    $num_boot
    \n", + "\t\t
    100
    \n", + "\t
    $method
    \n", + "\t\t
    'RF'
    \n", + "\t
    $stab_index
    \n", + "\t\t
      \n", + "\t
    1. 0.07
      2. \n", + "\t
    2. 0.03
      3. \n", + "\t
    3. 0.06
      4. \n", + "\t
    4. 0.02
      5. \n", + "\t
    5. 0.05
      6. \n", + "\t
    6. 0.04
      7. \n", + "\t
    7. 0.04
      8. \n", + "\t
    8. 0.03
      9. \n", + "\t
    9. 0.04
      10. \n", + "\t
    10. 0.03
      11. \n", + "\t
    11. 0.02
      12. \n", + "\t
    12. 0.01
      13. \n", + "\t
    13. 0.05
      14. \n", + "\t
    14. 0.03
      15. \n", + "\t
    15. 0.02
      16. \n", + "\t
    16. 0.05
      17. \n", + "\t
    17. 0.04
      18. \n", + "\t
    18. 0.06
      19. \n", + "\t
    19. 0.06
      20. \n", + "\t
    20. 0.06
      21. \n", + "\t
    21. 0.11
      22. \n", + "\t
    22. 0.05
      23. \n", + "\t
    23. 0.05
      24. \n", + "\t
    24. 0.04
      25. \n", + "\t
    25. 0.04
      26. \n", + "\t
    26. 0.04
      27. \n", + "\t
    27. 0.03
      28. \n", + "\t
    28. 0.04
      29. \n", + "\t
    29. 0.04
      30. \n", + "\t
    30. 0.05
      31. \n", + "\t
    31. 0.02
      32. \n", + "\t
    32. 0.05
      33. \n", + "\t
    33. 0.04
      34. \n", + "\t
    34. 0.06
      35. \n", + "\t
    35. 0.05
      36. \n", + "\t
    36. 0.06
      37. \n", + "\t
    37. 0.07
      38. \n", + "\t
    38. 0.05
      39. \n", + "\t
    39. 0.03
      40. \n", + "\t
    40. 0.03
      41. \n", + "\t
    41. 0.03
      42. \n", + "\t
    42. 0.02
      43. \n", + "\t
    43. 0.02
      44. \n", + "\t
    44. 0.03
      45. \n", + "\t
    45. 0.05
      46. \n", + "\t
    46. 0.03
      47. \n", + "\t
    47. 0.05
      48. \n", + "\t
    48. 0.02
      49. \n", + "\t
    49. 0.04
      50. \n", + "\t
    50. 0.04
      51. \n", + "\t
    51. 0.01
      52. \n", + "\t
    52. 0.04
      53. \n", + "\t
    53. 0.06
      54. \n", + "\t
    54. 0.02
      55. \n", + "\t
    55. 0.03
      56. \n", + "\t
    56. 0.07
      57. \n", + "\t
    57. 0.02
      58. \n", + "\t
    58. 0.02
      59. \n", + "\t
    59. 0.03
      60. \n", + "\t
    60. 0.04
      61. \n", + "\t
    61. 0.03
      62. \n", + "\t
    62. 0.01
      63. \n", + "\t
    63. 0.07
      64. \n", + "\t
    64. 0.03
      65. \n", + "\t
    65. 0.03
      66. \n", + "\t
    66. 0.03
      67. \n", + "\t
    67. 0.03
      68. \n", + "\t
    68. 0.03
      69. \n", + "\t
    69. 0.06
      70. \n", + "\t
    70. 0.04
      71. \n", + "\t
    71. 0.05
      72. \n", + "\t
    72. 0.06
      73. \n", + "\t
    73. 0.03
      74. \n", + "\t
    74. 0.04
      75. \n", + "\t
    75. 0.08
      76. \n", + "\t
    76. 0.03
      77. \n", + "\t
    77. 0.05
      78. \n", + "\t
    78. 0.04
      79. \n", + "\t
    79. 0.05
      80. \n", + "\t
    80. 0.05
      81. \n", + "\t
    81. 0.09
      82. \n", + "\t
    82. 0.03
      83. \n", + "\t
    83. 0.04
      84. \n", + "\t
    84. 0.03
      85. \n", + "\t
    85. 0.08
      86. \n", + "\t
    86. 0.02
      87. \n", + "\t
    87. 0.01
      88. \n", + "\t
    88. 0.03
      89. \n", + "\t
    89. 0.04
      90. \n", + "\t
    90. 0.03
      91. \n", + "\t
    91. 0.01
      92. \n", + "\t
    92. 0.05
      93. \n", + "\t
    93. 0.04
      94. \n", + "\t
    94. 0.03
      95. \n", + "\t
    95. 0.05
      96. \n", + "\t
    96. 0.03
      97. \n", + "\t
    97. 0.05
      98. \n", + "\t
    98. 0.05
      99. \n", + "\t
    99. 0.03
      100. \n", + "\t
    100. 0.04
      101. \n", + "
    \n", + "
    \n", + "\t
    $MSE_list
    \n", + "\t\t
      \n", + "\t
      1. \n", + "\t
      1. 4.24652195647008
        2. \n", + "\t
      2. 4.73773613097135
        3. \n", + "\t
      3. 2.0321873386989
        4. \n", + "\t
      4. 5.01697843233564
        5. \n", + "\t
      5. 5.1259150110502
        6. \n", + "\t
      6. 6.80593659586904
        7. \n", + "\t
      7. 5.07917219182361
        8. \n", + "\t
      8. 1.2879014360624
        9. \n", + "\t
      9. 5.38321982666049
        10. \n", + "\t
      10. 3.8617669962733
        11. \n", + "\t
      11. 6.00404884084858
        12. \n", + "\t
      12. 6.08992564084563
        13. \n", + "\t
      13. 3.33183710048462
        14. \n", + "\t
      14. 3.41638912945331
        15. \n", + "\t
      15. 5.95065500815286
        16. \n", + "\t
      16. 4.49603057409989
        17. \n", + "\t
      17. 4.58559509473614
        18. \n", + "\t
      18. 5.58656197672676
        19. \n", + "\t
      19. 3.63695452092639
        20. \n", + "\t
      20. 5.72853987593844
        21. \n", + "\t
      21. 7.19264776805786
        22. \n", + "\t
      22. 1.74735999520989
        23. \n", + "\t
      23. 5.29388207910599
        24. \n", + "\t
      24. 4.20895287022613
        25. \n", + "\t
      25. 1.86223955822394
        26. \n", + "\t
      26. 7.30621759933235
        27. \n", + "\t
      27. 6.11994921739044
        28. \n", + "\t
      28. 3.47452366127991
        29. \n", + "\t
      29. 5.00876026204143
        30. \n", + "\t
      30. 12.6490810260065
        31. \n", + "\t
      31. 1.94640352359205
        32. \n", + "\t
      32. 5.13502270476169
        33. \n", + "\t
      33. 5.52719501380298
        34. \n", + "\t
      34. 7.00647081481206
        35. \n", + "\t
      35. 9.33493115319036
        36. \n", + "\t
      36. 2.52306446769195
        37. \n", + "\t
      37. 6.5764865554024
        38. \n", + "\t
      38. 2.41756101852753
        39. \n", + "\t
      39. 4.72735957906681
        40. \n", + "\t
      40. 7.85100812845516
        41. \n", + "\t
      41. 5.77569221505078
        42. \n", + "\t
      42. 7.00515559898598
        43. \n", + "\t
      43. 3.25051374846321
        44. \n", + "\t
      44. 5.09179107962835
        45. \n", + "\t
      45. 5.76475451270954
        46. \n", + "\t
      46. 4.36588345939211
        47. \n", + "\t
      47. 9.21987480423847
        48. \n", + "\t
      48. 1.87844136250597
        49. \n", + "\t
      49. 6.03518349958949
        50. \n", + "\t
      50. 4.79955610817934
        51. \n", + "\t
      51. 7.14022494988971
        52. \n", + "\t
      52. 7.15850311860438
        53. \n", + "\t
      53. 6.25868361057864
        54. \n", + "\t
      54. 4.19416618565054
        55. \n", + "\t
      55. 5.00172324248809
        56. \n", + "\t
      56. 5.17672006210958
        57. \n", + "\t
      57. 1.76354656280377
        58. \n", + "\t
      58. 4.57260596297579
        59. \n", + "\t
      59. 3.89046659855719
        60. \n", + "\t
      60. 4.32743906883138
        61. \n", + "\t
      61. 4.27876378259525
        62. \n", + "\t
      62. 5.32018063415128
        63. \n", + "\t
      63. 4.80008217899582
        64. \n", + "\t
      64. 5.65577484679599
        65. \n", + "\t
      65. 4.74626098568173
        66. \n", + "\t
      66. 6.67716536328452
        67. \n", + "\t
      67. 3.77896576733603
        68. \n", + "\t
      68. 1.26890725570196
        69. \n", + "\t
      69. 5.10763883214485
        70. \n", + "\t
      70. 3.93831850747514
        71. \n", + "\t
      71. 7.48849490520092
        72. \n", + "\t
      72. 4.9776874269334
        73. \n", + "\t
      73. 8.41699954732009
        74. \n", + "\t
      74. 5.47336566206669
        75. \n", + "\t
      75. 3.34145422596577
        76. \n", + "\t
      76. 2.48552330584171
        77. \n", + "\t
      77. 5.8746678889885
        78. \n", + "\t
      78. 9.07692160194136
        79. \n", + "\t
      79. 4.56895138194045
        80. \n", + "\t
      80. 3.06892093349693
        81. \n", + "\t
      81. 3.96600488095637
        82. \n", + "\t
      82. 4.66233912280062
        83. \n", + "\t
      83. 5.74671650832867
        84. \n", + "\t
      84. 3.60192784704757
        85. \n", + "\t
      85. 4.50616059301896
        86. \n", + "\t
      86. 2.37190836994564
        87. \n", + "\t
      87. 5.11872819238965
        88. \n", + "\t
      88. 7.46568384570506
        89. \n", + "\t
      89. 4.48037270317786
        90. \n", + "\t
      90. 4.78373888931157
        91. \n", + "\t
      91. 5.19262256629057
        92. \n", + "\t
      92. 1.55925115723769
        93. \n", + "\t
      93. 5.065383921533
        94. \n", + "\t
      94. 4.37837949226807
        95. \n", + "\t
      95. 0.773396664154582
        96. \n", + "\t
      96. 4.09662079329817
        97. \n", + "\t
      97. 6.01151231763694
        98. \n", + "\t
      98. 4.11938126982533
        99. \n", + "\t
      99. 1.40342947316318
        100. \n", + "\t
      100. 6.9470190756302
        101. \n", + "
      \n", + "
      2. \n", + "\t
      2. \n", + "\t
      1. 2.46881263582371
        2. \n", + "\t
      2. 1.62045593449371
        3. \n", + "\t
      3. 3.07803424538513
        4. \n", + "\t
      4. 3.66161806363493
        5. \n", + "\t
      5. 2.34377097700735
        6. \n", + "\t
      6. 1.9969812866353
        7. \n", + "\t
      7. 1.29820112474317
        8. \n", + "\t
      8. 3.23813624714989
        9. \n", + "\t
      9. 2.33997680124666
        10. \n", + "\t
      10. 2.94720298508904
        11. \n", + "\t
      11. 1.81240876062063
        12. \n", + "\t
      12. 2.62312550772082
        13. \n", + "\t
      13. 1.31759846559883
        14. \n", + "\t
      14. 2.03915171327889
        15. \n", + "\t
      15. 2.15700593490724
        16. \n", + "\t
      16. 1.75262026791636
        17. \n", + "\t
      17. 1.52688021410064
        18. \n", + "\t
      18. 1.49382704699933
        19. \n", + "\t
      19. 3.09948891343005
        20. \n", + "\t
      20. 2.18558170551254
        21. \n", + "\t
      21. 2.4977058922576
        22. \n", + "\t
      22. 4.48632339348615
        23. \n", + "\t
      23. 3.54879167613962
        24. \n", + "\t
      24. 1.91918917596757
        25. \n", + "\t
      25. 4.61612048948843
        26. \n", + "\t
      26. 1.32685480495038
        27. \n", + "\t
      27. 1.18464343137893
        28. \n", + "\t
      28. 1.08745811916229
        29. \n", + "\t
      29. 2.82670080514885
        30. \n", + "\t
      30. 1.66398819993051
        31. \n", + "\t
      31. 2.09431055198367
        32. \n", + "\t
      32. 1.28620018867611
        33. \n", + "\t
      33. 1.20101134832588
        34. \n", + "\t
      34. 1.09292234924811
        35. \n", + "\t
      35. 1.91648097731109
        36. \n", + "\t
      36. 0.9961443837822
        37. \n", + "\t
      37. 2.15476419846658
        38. \n", + "\t
      38. 1.9710273267601
        39. \n", + "\t
      39. 1.27971467661341
        40. \n", + "\t
      40. 2.61898160734866
        41. \n", + "\t
      41. 0.985808401451475
        42. \n", + "\t
      42. 2.10240353678563
        43. \n", + "\t
      43. 1.62603197577005
        44. \n", + "\t
      44. 2.25809243218316
        45. \n", + "\t
      45. 2.83995138656136
        46. \n", + "\t
      46. 4.19536641079281
        47. \n", + "\t
      47. 1.0889098905904
        48. \n", + "\t
      48. 1.94501104752594
        49. \n", + "\t
      49. 1.75732347243258
        50. \n", + "\t
      50. 2.51278519396306
        51. \n", + "\t
      51. 4.85860653762593
        52. \n", + "\t
      52. 2.10629673955748
        53. \n", + "\t
      53. 1.39355872948323
        54. \n", + "\t
      54. 0.578597224901788
        55. \n", + "\t
      55. 1.59147856674317
        56. \n", + "\t
      56. 1.40514863543406
        57. \n", + "\t
      57. 1.97039835678148
        58. \n", + "\t
      58. 3.14196658482327
        59. \n", + "\t
      59. 2.82663590546549
        60. \n", + "\t
      60. 1.08467262450716
        61. \n", + "\t
      61. 2.2660238430662
        62. \n", + "\t
      62. 1.39650903160658
        63. \n", + "\t
      63. 1.08583865602202
        64. \n", + "\t
      64. 2.33180237817936
        65. \n", + "\t
      65. 2.26077921524661
        66. \n", + "\t
      66. 0.663959010876274
        67. \n", + "\t
      67. 2.98769659897406
        68. \n", + "\t
      68. 2.44754995476291
        69. \n", + "\t
      69. 4.19724900910533
        70. \n", + "\t
      70. 1.50556582011194
        71. \n", + "\t
      71. 2.54802658746243
        72. \n", + "\t
      72. 3.78544988245465
        73. \n", + "\t
      73. 3.73442535629066
        74. \n", + "\t
      74. 4.2068277013404
        75. \n", + "\t
      75. 3.41966894208583
        76. \n", + "\t
      76. 1.34611641344928
        77. \n", + "\t
      77. 2.50443148222372
        78. \n", + "\t
      78. 1.71325842601776
        79. \n", + "\t
      79. 2.95417063977421
        80. \n", + "\t
      80. 1.02514968134709
        81. \n", + "\t
      81. 2.05391145088801
        82. \n", + "\t
      82. 0.410738565792157
        83. \n", + "\t
      83. 1.34446541997674
        84. \n", + "\t
      84. 2.69983387449726
        85. \n", + "\t
      85. 3.07090095891471
        86. \n", + "\t
      86. 1.84317057169874
        87. \n", + "\t
      87. 1.11977643313682
        88. \n", + "\t
      88. 1.10034973991027
        89. \n", + "\t
      89. 2.7034803013923
        90. \n", + "\t
      90. 1.82968668888558
        91. \n", + "\t
      91. 1.63160459606609
        92. \n", + "\t
      92. 1.2234732526554
        93. \n", + "\t
      93. 1.93996949498478
        94. \n", + "\t
      94. 2.16949927233318
        95. \n", + "\t
      95. 2.53629918805295
        96. \n", + "\t
      96. 1.00169921466884
        97. \n", + "\t
      97. 1.41066718913965
        98. \n", + "\t
      98. 1.2467777773211
        99. \n", + "\t
      99. 1.91837191765572
        100. \n", + "\t
      100. 4.27534300809592
        101. \n", + "
      \n", + "
      3. \n", + "\t
      3. \n", + "\t
      1. 7.89699559416302
        2. \n", + "\t
      2. 4.68395954667344
        3. \n", + "\t
      3. 6.65287410165553
        4. \n", + "\t
      4. 2.04299898265588
        5. \n", + "\t
      5. 8.09750807752616
        6. \n", + "\t
      6. 9.80584088915483
        7. \n", + "\t
      7. 1.71425003049285
        8. \n", + "\t
      8. 8.35662851500259
        9. \n", + "\t
      9. 4.41221576256622
        10. \n", + "\t
      10. 3.59858430815463
        11. \n", + "\t
      11. 3.27877770520898
        12. \n", + "\t
      12. 7.41604022683118
        13. \n", + "\t
      13. 9.54357145783108
        14. \n", + "\t
      14. 3.12990656797859
        15. \n", + "\t
      15. 8.7426389448414
        16. \n", + "\t
      16. 3.13739344701759
        17. \n", + "\t
      17. 2.78994886118879
        18. \n", + "\t
      18. 4.65790296687221
        19. \n", + "\t
      19. 5.61048824015662
        20. \n", + "\t
      20. 8.97593046335913
        21. \n", + "\t
      21. 7.76789401652646
        22. \n", + "\t
      22. 7.89915157546547
        23. \n", + "\t
      23. 6.02965377275651
        24. \n", + "\t
      24. 10.4046527951656
        25. \n", + "\t
      25. 4.09615530544779
        26. \n", + "\t
      26. 4.97520299970727
        27. \n", + "\t
      27. 3.96613419861903
        28. \n", + "\t
      28. 4.06146425836093
        29. \n", + "\t
      29. 4.87968524685722
        30. \n", + "\t
      30. 3.37573023491725
        31. \n", + "\t
      31. 7.98023630785773
        32. \n", + "\t
      32. 8.64273232513886
        33. \n", + "\t
      33. 8.61460793724278
        34. \n", + "\t
      34. 2.79251610297863
        35. \n", + "\t
      35. 6.54256347747618
        36. \n", + "\t
      36. 6.05463411538655
        37. \n", + "\t
      37. 12.1108491503986
        38. \n", + "\t
      38. 5.7414008014495
        39. \n", + "\t
      39. 6.08667015429676
        40. \n", + "\t
      40. 5.99597999188928
        41. \n", + "\t
      41. 4.95233595863793
        42. \n", + "\t
      42. 5.33400057947459
        43. \n", + "\t
      43. 6.34372522427795
        44. \n", + "\t
      44. 3.57969216995728
        45. \n", + "\t
      45. 5.19489630733855
        46. \n", + "\t
      46. 5.16596662917303
        47. \n", + "\t
      47. 3.80315564407006
        48. \n", + "\t
      48. 5.25665625413873
        49. \n", + "\t
      49. 7.03133082490045
        50. \n", + "\t
      50. 2.86041554763847
        51. \n", + "\t
      51. 7.34128580284118
        52. \n", + "\t
      52. 7.77280047815042
        53. \n", + "\t
      53. 10.1014736862836
        54. \n", + "\t
      54. 4.71923779020923
        55. \n", + "\t
      55. 2.57882150267335
        56. \n", + "\t
      56. 9.71592937461396
        57. \n", + "\t
      57. 2.72821268176856
        58. \n", + "\t
      58. 3.92219598469121
        59. \n", + "\t
      59. 2.85040081890355
        60. \n", + "\t
      60. 7.6176944668688
        61. \n", + "\t
      61. 2.51934923713099
        62. \n", + "\t
      62. 2.3267044136411
        63. \n", + "\t
      63. 1.50296958187043
        64. \n", + "\t
      64. 3.31230950211675
        65. \n", + "\t
      65. 5.04191052672004
        66. \n", + "\t
      66. 5.26534094078411
        67. \n", + "\t
      67. 6.47366262429283
        68. \n", + "\t
      68. 3.13512415133631
        69. \n", + "\t
      69. 5.85430320324887
        70. \n", + "\t
      70. 2.57086195169796
        71. \n", + "\t
      71. 2.81462672021933
        72. \n", + "\t
      72. 3.94539420957925
        73. \n", + "\t
      73. 2.1599923125528
        74. \n", + "\t
      74. 5.78369242852044
        75. \n", + "\t
      75. 8.01566153973415
        76. \n", + "\t
      76. 4.1748778065736
        77. \n", + "\t
      77. 10.7723701650718
        78. \n", + "\t
      78. 4.14946972078289
        79. \n", + "\t
      79. 2.85827604300393
        80. \n", + "\t
      80. 10.3357955385195
        81. \n", + "\t
      81. 7.63219594682533
        82. \n", + "\t
      82. 4.13464669133251
        83. \n", + "\t
      83. 5.4175678104819
        84. \n", + "\t
      84. 6.2712912162927
        85. \n", + "\t
      85. 6.46007885086434
        86. \n", + "\t
      86. 6.24088441335777
        87. \n", + "\t
      87. 8.36839832412217
        88. \n", + "\t
      88. 5.12879069661752
        89. \n", + "\t
      89. 5.39692307949711
        90. \n", + "\t
      90. 6.03714014403036
        91. \n", + "\t
      91. 6.90111985216978
        92. \n", + "\t
      92. 9.50380375639404
        93. \n", + "\t
      93. 8.42702502453998
        94. \n", + "\t
      94. 8.67997427347452
        95. \n", + "\t
      95. 5.7464408562307
        96. \n", + "\t
      96. 7.30838312038969
        97. \n", + "\t
      97. 6.30551589726237
        98. \n", + "\t
      98. 9.73621684579676
        99. \n", + "\t
      99. 5.08860387030402
        100. \n", + "\t
      100. 2.51861631871738
        101. \n", + "
      \n", + "
      4. \n", + "\t
      4. \n", + "\t
      1. 2.43612878135974
        2. \n", + "\t
      2. 6.07362959886118
        3. \n", + "\t
      3. 1.360046067605
        4. \n", + "\t
      4. 10.5796755283492
        5. \n", + "\t
      5. 1.13336020914273
        6. \n", + "\t
      6. 7.49796641541137
        7. \n", + "\t
      7. 6.50554352619108
        8. \n", + "\t
      8. 5.82433166090707
        9. \n", + "\t
      9. 1.48333268849059
        10. \n", + "\t
      10. 7.52664935421223
        11. \n", + "\t
      11. 4.9012774232613
        12. \n", + "\t
      12. 2.36067335716678
        13. \n", + "\t
      13. 10.2854312260501
        14. \n", + "\t
      14. 7.73933284923138
        15. \n", + "\t
      15. 4.63007049670338
        16. \n", + "\t
      16. 1.27589524912527
        17. \n", + "\t
      17. 4.52907001761736
        18. \n", + "\t
      18. 7.17290425109427
        19. \n", + "\t
      19. 2.01186467707911
        20. \n", + "\t
      20. 4.4646272585838
        21. \n", + "\t
      21. 4.012794783715
        22. \n", + "\t
      22. 7.08982320252272
        23. \n", + "\t
      23. 5.19155785519804
        24. \n", + "\t
      24. 0.958643752414536
        25. \n", + "\t
      25. 1.55964399612344
        26. \n", + "\t
      26. 5.45832786659785
        27. \n", + "\t
      27. 2.03101073233882
        28. \n", + "\t
      28. 2.38095888631034
        29. \n", + "\t
      29. 1.49675633738755
        30. \n", + "\t
      30. 3.00469817685559
        31. \n", + "\t
      31. 1.84100698258067
        32. \n", + "\t
      32. 1.81219228159821
        33. \n", + "\t
      33. 1.80775669609212
        34. \n", + "\t
      34. 1.45593865040725
        35. \n", + "\t
      35. 5.4077290498236
        36. \n", + "\t
      36. 1.70717518890618
        37. \n", + "\t
      37. 4.47779253473646
        38. \n", + "\t
      38. 2.61139918170258
        39. \n", + "\t
      39. 1.94394506102671
        40. \n", + "\t
      40. 3.89642470722186
        41. \n", + "\t
      41. 5.47800604699886
        42. \n", + "\t
      42. 4.17888800635575
        43. \n", + "\t
      43. 7.96991103833819
        44. \n", + "\t
      44. 5.65942731756889
        45. \n", + "\t
      45. 0.810619553909963
        46. \n", + "\t
      46. 1.13318367969802
        47. \n", + "\t
      47. 4.19578073201973
        48. \n", + "\t
      48. 3.33677926000001
        49. \n", + "\t
      49. 2.9158432443967
        50. \n", + "\t
      50. 2.26974132621337
        51. \n", + "\t
      51. 1.65781986699242
        52. \n", + "\t
      52. 8.79202776328884
        53. \n", + "\t
      53. 3.64214406180967
        54. \n", + "\t
      54. 1.27254344208986
        55. \n", + "\t
      55. 1.54939399436619
        56. \n", + "\t
      56. 1.60030945459872
        57. \n", + "\t
      57. 2.25372856616899
        58. \n", + "\t
      58. 3.70424681577375
        59. \n", + "\t
      59. 3.43634299403504
        60. \n", + "\t
      60. 5.51050100583159
        61. \n", + "\t
      61. 5.82338244654677
        62. \n", + "\t
      62. 5.24238481233736
        63. \n", + "\t
      63. 1.17418466645926
        64. \n", + "\t
      64. 1.37464702519044
        65. \n", + "\t
      65. 4.67296386714887
        66. \n", + "\t
      66. 2.32412144149001
        67. \n", + "\t
      67. 1.56201493078073
        68. \n", + "\t
      68. 1.85714285030308
        69. \n", + "\t
      69. 3.51636117639212
        70. \n", + "\t
      70. 3.98781110782867
        71. \n", + "\t
      71. 4.68183418250373
        72. \n", + "\t
      72. 1.4091694861422
        73. \n", + "\t
      73. 3.34162633011596
        74. \n", + "\t
      74. 3.99510973160405
        75. \n", + "\t
      75. 1.41409827598693
        76. \n", + "\t
      76. 4.28090288704906
        77. \n", + "\t
      77. 1.62440480572047
        78. \n", + "\t
      78. 4.24754056691945
        79. \n", + "\t
      79. 4.68866211298387
        80. \n", + "\t
      80. 1.58587023742159
        81. \n", + "\t
      81. 2.11376089634905
        82. \n", + "\t
      82. 1.64845097006007
        83. \n", + "\t
      83. 3.99489763151752
        84. \n", + "\t
      84. 7.07799666504646
        85. \n", + "\t
      85. 5.59088649454209
        86. \n", + "\t
      86. 5.72570205337152
        87. \n", + "\t
      87. 4.5005401826691
        88. \n", + "\t
      88. 8.51305196442407
        89. \n", + "\t
      89. 9.55165091993096
        90. \n", + "\t
      90. 2.48431731992381
        91. \n", + "\t
      91. 1.24419157065411
        92. \n", + "\t
      92. 1.9452474403323
        93. \n", + "\t
      93. 1.37965285150518
        94. \n", + "\t
      94. 1.42326241299738
        95. \n", + "\t
      95. 2.87557145800728
        96. \n", + "\t
      96. 0.616470891160539
        97. \n", + "\t
      97. 6.42980173460997
        98. \n", + "\t
      98. 6.89047069194964
        99. \n", + "\t
      99. 7.35667478681183
        100. \n", + "\t
      100. 1.41261514562113
        101. \n", + "
      \n", + "
      5. \n", + "\t
      5. \n", + "\t
      1. 3.5426822459132
        2. \n", + "\t
      2. 2.66901878498618
        3. \n", + "\t
      3. 5.23240557245619
        4. \n", + "\t
      4. 4.39755065574929
        5. \n", + "\t
      5. 5.73962187688085
        6. \n", + "\t
      6. 2.00428304986165
        7. \n", + "\t
      7. 5.82280635954069
        8. \n", + "\t
      8. 1.09432877927376
        9. \n", + "\t
      9. 1.93325856037914
        10. \n", + "\t
      10. 3.44248441429404
        11. \n", + "\t
      11. 1.18300882143023
        12. \n", + "\t
      12. 7.6768742751777
        13. \n", + "\t
      13. 1.62946794844498
        14. \n", + "\t
      14. 5.02158938541742
        15. \n", + "\t
      15. 5.82440801994598
        16. \n", + "\t
      16. 6.53692066345059
        17. \n", + "\t
      17. 7.17828383511864
        18. \n", + "\t
      18. 9.20773752687486
        19. \n", + "\t
      19. 5.60360314254789
        20. \n", + "\t
      20. 4.46504792392164
        21. \n", + "\t
      21. 3.80156908156978
        22. \n", + "\t
      22. 3.11648618159439
        23. \n", + "\t
      23. 6.22012699214572
        24. \n", + "\t
      24. 6.27113579373544
        25. \n", + "\t
      25. 5.96018923647541
        26. \n", + "\t
      26. 3.38817325214417
        27. \n", + "\t
      27. 3.52329273612195
        28. \n", + "\t
      28. 4.07735555671697
        29. \n", + "\t
      29. 2.13131627855246
        30. \n", + "\t
      30. 1.52917135132675
        31. \n", + "\t
      31. 3.25165672451519
        32. \n", + "\t
      32. 1.94265982925619
        33. \n", + "\t
      33. 6.1929953040482
        34. \n", + "\t
      34. 0.844548821279425
        35. \n", + "\t
      35. 1.20073925019773
        36. \n", + "\t
      36. 1.49372518151107
        37. \n", + "\t
      37. 5.0379400432471
        38. \n", + "\t
      38. 7.57750851251191
        39. \n", + "\t
      39. 0.67051099106999
        40. \n", + "\t
      40. 4.67081358456883
        41. \n", + "\t
      41. 4.85164488450921
        42. \n", + "\t
      42. 7.07003862070598
        43. \n", + "\t
      43. 3.52913317285759
        44. \n", + "\t
      44. 4.83108660515176
        45. \n", + "\t
      45. 1.21569093691028
        46. \n", + "\t
      46. 2.94764969411288
        47. \n", + "\t
      47. 2.82275186802991
        48. \n", + "\t
      48. 4.78823943625352
        49. \n", + "\t
      49. 7.49319630839299
        50. \n", + "\t
      50. 4.07602027352523
        51. \n", + "\t
      51. 2.21782525493205
        52. \n", + "\t
      52. 1.45269120782839
        53. \n", + "\t
      53. 5.87984954331006
        54. \n", + "\t
      54. 1.57709729038529
        55. \n", + "\t
      55. 2.26789092388737
        56. \n", + "\t
      56. 3.63167644646296
        57. \n", + "\t
      57. 1.54570590918905
        58. \n", + "\t
      58. 0.984163141253271
        59. \n", + "\t
      59. 5.13143943052228
        60. \n", + "\t
      60. 3.69612931535903
        61. \n", + "\t
      61. 5.83160722560897
        62. \n", + "\t
      62. 5.86918118423875
        63. \n", + "\t
      63. 6.04748411265008
        64. \n", + "\t
      64. 0.844873241775342
        65. \n", + "\t
      65. 3.29243851102629
        66. \n", + "\t
      66. 6.02960500283208
        67. \n", + "\t
      67. 3.63567013402971
        68. \n", + "\t
      68. 4.69863662375148
        69. \n", + "\t
      69. 3.90950001537146
        70. \n", + "\t
      70. 2.79383606725065
        71. \n", + "\t
      71. 4.41620591938178
        72. \n", + "\t
      72. 6.61346220379397
        73. \n", + "\t
      73. 2.57718681918311
        74. \n", + "\t
      74. 2.03984111612769
        75. \n", + "\t
      75. 1.91855352227911
        76. \n", + "\t
      76. 2.28961647036368
        77. \n", + "\t
      77. 6.41112760121212
        78. \n", + "\t
      78. 5.63938119705647
        79. \n", + "\t
      79. 3.4166739484578
        80. \n", + "\t
      80. 5.95928555338082
        81. \n", + "\t
      81. 4.39891239325763
        82. \n", + "\t
      82. 2.18379049967898
        83. \n", + "\t
      83. 6.52117248890045
        84. \n", + "\t
      84. 7.58355707770084
        85. \n", + "\t
      85. 1.21877387686922
        86. \n", + "\t
      86. 5.56833119661363
        87. \n", + "\t
      87. 5.81361378350391
        88. \n", + "\t
      88. 7.21373005359256
        89. \n", + "\t
      89. 4.17913897598799
        90. \n", + "\t
      90. 8.56089647072974
        91. \n", + "\t
      91. 4.69931915331131
        92. \n", + "\t
      92. 2.65090267073696
        93. \n", + "\t
      93. 2.08335547908837
        94. \n", + "\t
      94. 1.12541400699435
        95. \n", + "\t
      95. 4.72527890414171
        96. \n", + "\t
      96. 8.59937503630618
        97. \n", + "\t
      97. 0.837724716152941
        98. \n", + "\t
      98. 5.45192920435794
        99. \n", + "\t
      99. 3.58969096093313
        100. \n", + "\t
      100. 4.43847810941759
        101. \n", + "
      \n", + "
      6. \n", + "\t
      6. \n", + "\t
      1. 5.59238581395269
        2. \n", + "\t
      2. 4.95762344067704
        3. \n", + "\t
      3. 5.39651136274669
        4. \n", + "\t
      4. 6.54540077607841
        5. \n", + "\t
      5. 5.07964455660217
        6. \n", + "\t
      6. 2.7263494705165
        7. \n", + "\t
      7. 5.15471907946577
        8. \n", + "\t
      8. 4.68922360419521
        9. \n", + "\t
      9. 4.1871853439641
        10. \n", + "\t
      10. 4.42657733519014
        11. \n", + "\t
      11. 2.15996652626566
        12. \n", + "\t
      12. 3.01857744014504
        13. \n", + "\t
      13. 6.42549536326369
        14. \n", + "\t
      14. 3.34979136772516
        15. \n", + "\t
      15. 4.31930680735519
        16. \n", + "\t
      16. 0.87409434784394
        17. \n", + "\t
      17. 4.22498563548063
        18. \n", + "\t
      18. 1.58370405826312
        19. \n", + "\t
      19. 3.54189765208421
        20. \n", + "\t
      20. 6.34297383580229
        21. \n", + "\t
      21. 5.36186733318536
        22. \n", + "\t
      22. 3.53432392714112
        23. \n", + "\t
      23. 2.0547201506119
        24. \n", + "\t
      24. 5.02814446699778
        25. \n", + "\t
      25. 4.7263152527119
        26. \n", + "\t
      26. 3.5397209954975
        27. \n", + "\t
      27. 3.83978740987897
        28. \n", + "\t
      28. 1.4648701387182
        29. \n", + "\t
      29. 6.04373901933653
        30. \n", + "\t
      30. 6.35381075937553
        31. \n", + "\t
      31. 5.36821210656741
        32. \n", + "\t
      32. 3.59366806972101
        33. \n", + "\t
      33. 6.90361642361306
        34. \n", + "\t
      34. 7.39393378515997
        35. \n", + "\t
      35. 6.81570545588684
        36. \n", + "\t
      36. 2.56505150126935
        37. \n", + "\t
      37. 2.11461332391356
        38. \n", + "\t
      38. 4.21084882845642
        39. \n", + "\t
      39. 6.50928314009967
        40. \n", + "\t
      40. 2.44670935487316
        41. \n", + "\t
      41. 4.53332115745791
        42. \n", + "\t
      42. 4.74895099270896
        43. \n", + "\t
      43. 4.74718062755672
        44. \n", + "\t
      44. 8.43521920102059
        45. \n", + "\t
      45. 3.34702879688117
        46. \n", + "\t
      46. 2.52011020194734
        47. \n", + "\t
      47. 3.98379455821928
        48. \n", + "\t
      48. 6.44802388782584
        49. \n", + "\t
      49. 2.3498544896711
        50. \n", + "\t
      50. 5.31012588483278
        51. \n", + "\t
      51. 2.99129169936551
        52. \n", + "\t
      52. 3.57779056713163
        53. \n", + "\t
      53. 4.48015113375012
        54. \n", + "\t
      54. 2.53978118279924
        55. \n", + "\t
      55. 3.88642351173452
        56. \n", + "\t
      56. 5.36288010456439
        57. \n", + "\t
      57. 3.13704984215105
        58. \n", + "\t
      58. 6.87224326650738
        59. \n", + "\t
      59. 5.55869608543549
        60. \n", + "\t
      60. 6.72823807275273
        61. \n", + "\t
      61. 10.1356864600169
        62. \n", + "\t
      62. 5.40629102520077
        63. \n", + "\t
      63. 4.53693052383191
        64. \n", + "\t
      64. 4.96618944416311
        65. \n", + "\t
      65. 5.70118664448538
        66. \n", + "\t
      66. 8.17418543258219
        67. \n", + "\t
      67. 3.21201331403394
        68. \n", + "\t
      68. 2.98472526192013
        69. \n", + "\t
      69. 3.87408084225225
        70. \n", + "\t
      70. 3.97349655793122
        71. \n", + "\t
      71. 5.84659413866734
        72. \n", + "\t
      72. 7.55286653191689
        73. \n", + "\t
      73. 6.51560247896661
        74. \n", + "\t
      74. 5.53560806758574
        75. \n", + "\t
      75. 2.1566794237375
        76. \n", + "\t
      76. 3.6894452754455
        77. \n", + "\t
      77. 6.70350142309828
        78. \n", + "\t
      78. 3.51788802486793
        79. \n", + "\t
      79. 3.35491423040809
        80. \n", + "\t
      80. 6.09030144690522
        81. \n", + "\t
      81. 3.94332024685118
        82. \n", + "\t
      82. 7.28207112456985
        83. \n", + "\t
      83. 5.64041481073569
        84. \n", + "\t
      84. 2.19626537979476
        85. \n", + "\t
      85. 4.40471501831474
        86. \n", + "\t
      86. 4.41266944237801
        87. \n", + "\t
      87. 3.37047740147183
        88. \n", + "\t
      88. 2.09419984776335
        89. \n", + "\t
      89. 7.80780886533113
        90. \n", + "\t
      90. 2.80287518624844
        91. \n", + "\t
      91. 5.4937813792502
        92. \n", + "\t
      92. 8.80849050715007
        93. \n", + "\t
      93. 4.80156900146743
        94. \n", + "\t
      94. 1.79008649161711
        95. \n", + "\t
      95. 3.95233685265149
        96. \n", + "\t
      96. 3.56101558312501
        97. \n", + "\t
      97. 6.16614267163439
        98. \n", + "\t
      98. 7.55643935460142
        99. \n", + "\t
      99. 8.19991299266978
        100. \n", + "\t
      100. 4.27714889140496
        101. \n", + "
      \n", + "
      7. \n", + "\t
      7. \n", + "\t
      1. 7.44095773386623
        2. \n", + "\t
      2. 4.02819923185013
        3. \n", + "\t
      3. 7.34272910404246
        4. \n", + "\t
      4. 2.86970713413269
        5. \n", + "\t
      5. 2.33014838207987
        6. \n", + "\t
      6. 4.33268091809416
        7. \n", + "\t
      7. 4.1779954511883
        8. \n", + "\t
      8. 2.95605241122738
        9. \n", + "\t
      9. 2.4528276717832
        10. \n", + "\t
      10. 2.3852943165309
        11. \n", + "\t
      11. 3.12958108969456
        12. \n", + "\t
      12. 5.07066127093225
        13. \n", + "\t
      13. 3.62128340378816
        14. \n", + "\t
      14. 5.70145976024633
        15. \n", + "\t
      15. 7.5584882013737
        16. \n", + "\t
      16. 7.81190828348399
        17. \n", + "\t
      17. 4.05951780786895
        18. \n", + "\t
      18. 2.67080500878852
        19. \n", + "\t
      19. 6.73325942745172
        20. \n", + "\t
      20. 3.41568756762366
        21. \n", + "\t
      21. 6.97828977087017
        22. \n", + "\t
      22. 5.8584942275631
        23. \n", + "\t
      23. 6.51952044133225
        24. \n", + "\t
      24. 1.24850073313581
        25. \n", + "\t
      25. 4.84962676284979
        26. \n", + "\t
      26. 3.70074903894309
        27. \n", + "\t
      27. 2.69690033130036
        28. \n", + "\t
      28. 3.17647637842022
        29. \n", + "\t
      29. 2.82047638833039
        30. \n", + "\t
      30. 2.62826241232593
        31. \n", + "\t
      31. 0.595717449084298
        32. \n", + "\t
      32. 1.56730440493694
        33. \n", + "\t
      33. 5.92555376402564
        34. \n", + "\t
      34. 6.96417441014413
        35. \n", + "\t
      35. 5.10234480611559
        36. \n", + "\t
      36. 4.45294329317767
        37. \n", + "\t
      37. 3.19585005671036
        38. \n", + "\t
      38. 1.52998737698732
        39. \n", + "\t
      39. 3.23146025572221
        40. \n", + "\t
      40. 2.02191171717837
        41. \n", + "\t
      41. 2.51429259940883
        42. \n", + "\t
      42. 0.293077821490998
        43. \n", + "\t
      43. 5.31398405090636
        44. \n", + "\t
      44. 2.93265891120343
        45. \n", + "\t
      45. 2.55143812304583
        46. \n", + "\t
      46. 4.38613432556583
        47. \n", + "\t
      47. 3.89397929919374
        48. \n", + "\t
      48. 1.30410215811107
        49. \n", + "\t
      49. 3.88057798654455
        50. \n", + "\t
      50. 5.11356743428252
        51. \n", + "\t
      51. 4.21902799189738
        52. \n", + "\t
      52. 3.95704359313062
        53. \n", + "\t
      53. 4.24008915854542
        54. \n", + "\t
      54. 5.41544096292959
        55. \n", + "\t
      55. 2.21389385835095
        56. \n", + "\t
      56. 4.18668691316771
        57. \n", + "\t
      57. 3.87631011681407
        58. \n", + "\t
      58. 1.25190194163622
        59. \n", + "\t
      59. 4.01569464659865
        60. \n", + "\t
      60. 5.38604671849805
        61. \n", + "\t
      61. 5.68779810673725
        62. \n", + "\t
      62. 3.90198344832747
        63. \n", + "\t
      63. 3.8348148287562
        64. \n", + "\t
      64. 5.63232511708494
        65. \n", + "\t
      65. 3.80333856378584
        66. \n", + "\t
      66. 2.3027591993173
        67. \n", + "\t
      67. 1.47107925631663
        68. \n", + "\t
      68. 4.78532996514581
        69. \n", + "\t
      69. 2.41667160099296
        70. \n", + "\t
      70. 2.33325678570947
        71. \n", + "\t
      71. 8.01123485409606
        72. \n", + "\t
      72. 4.53679676930688
        73. \n", + "\t
      73. 2.04975490209536
        74. \n", + "\t
      74. 4.23574633586396
        75. \n", + "\t
      75. 5.67935269484284
        76. \n", + "\t
      76. 5.19767889042802
        77. \n", + "\t
      77. 5.05040846008869
        78. \n", + "\t
      78. 5.45658334664841
        79. \n", + "\t
      79. 2.60001725941494
        80. \n", + "\t
      80. 2.72331220343734
        81. \n", + "\t
      81. 0.82149996279495
        82. \n", + "\t
      82. 5.80380309082271
        83. \n", + "\t
      83. 2.39072149995685
        84. \n", + "\t
      84. 3.93120794434713
        85. \n", + "\t
      85. 8.33634001160927
        86. \n", + "\t
      86. 3.61706871503452
        87. \n", + "\t
      87. 4.85922300413897
        88. \n", + "\t
      88. 2.61385149080421
        89. \n", + "\t
      89. 2.34677819451503
        90. \n", + "\t
      90. 3.84217623041349
        91. \n", + "\t
      91. 1.17511075640657
        92. \n", + "\t
      92. 7.61091109905541
        93. \n", + "\t
      93. 2.19852027330648
        94. \n", + "\t
      94. 7.12143249493088
        95. \n", + "\t
      95. 5.70297325141242
        96. \n", + "\t
      96. 6.12162703144177
        97. \n", + "\t
      97. 1.78468906905844
        98. \n", + "\t
      98. 2.76225874219131
        99. \n", + "\t
      99. 6.47820885688673
        100. \n", + "\t
      100. 3.46479865548123
        101. \n", + "
      \n", + "
      8. \n", + "\t
      8. \n", + "\t
      1. 0.930738898258357
        2. \n", + "\t
      2. 3.2433975377791
        3. \n", + "\t
      3. 7.24220457697022
        4. \n", + "\t
      4. 1.84780805450963
        5. \n", + "\t
      5. 1.34447433486919
        6. \n", + "\t
      6. 0.885932680309866
        7. \n", + "\t
      7. 2.33635462393175
        8. \n", + "\t
      8. 6.94769843564486
        9. \n", + "\t
      9. 1.76607459778904
        10. \n", + "\t
      10. 1.19391230222872
        11. \n", + "\t
      11. 7.91310239086348
        12. \n", + "\t
      12. 2.4458116348135
        13. \n", + "\t
      13. 6.75077552455352
        14. \n", + "\t
      14. 5.15437765556729
        15. \n", + "\t
      15. 5.48479968260597
        16. \n", + "\t
      16. 3.05254270146948
        17. \n", + "\t
      17. 6.61978183253893
        18. \n", + "\t
      18. 1.55175901314618
        19. \n", + "\t
      19. 2.25623721560493
        20. \n", + "\t
      20. 1.66279169879684
        21. \n", + "\t
      21. 2.79735768590438
        22. \n", + "\t
      22. 3.28951441974101
        23. \n", + "\t
      23. 0.501589024566103
        24. \n", + "\t
      24. 4.21274765754139
        25. \n", + "\t
      25. 6.53074348626762
        26. \n", + "\t
      26. 0.828237338159343
        27. \n", + "\t
      27. 1.47434540507334
        28. \n", + "\t
      28. 4.06846053538211
        29. \n", + "\t
      29. 3.36035446032604
        30. \n", + "\t
      30. 4.9239021780587
        31. \n", + "\t
      31. 2.18211559516982
        32. \n", + "\t
      32. 5.3677948826089
        33. \n", + "\t
      33. 5.02734425092085
        34. \n", + "\t
      34. 3.47618410688182
        35. \n", + "\t
      35. 2.9143012026582
        36. \n", + "\t
      36. 0.994438106922462
        37. \n", + "\t
      37. 0.476427456708431
        38. \n", + "\t
      38. 5.69426418075064
        39. \n", + "\t
      39. 3.97651223343692
        40. \n", + "\t
      40. 5.685230737857
        41. \n", + "\t
      41. 3.19623734470051
        42. \n", + "\t
      42. 2.88713785225644
        43. \n", + "\t
      43. 4.08150038870887
        44. \n", + "\t
      44. 3.77034490811139
        45. \n", + "\t
      45. 1.7216668550313
        46. \n", + "\t
      46. 3.22923838411976
        47. \n", + "\t
      47. 6.74786346169544
        48. \n", + "\t
      48. 6.58915563082056
        49. \n", + "\t
      49. 1.6557581625161
        50. \n", + "\t
      50. 1.18903032903317
        51. \n", + "\t
      51. 4.55265237166142
        52. \n", + "\t
      52. 1.7568708005666
        53. \n", + "\t
      53. 4.79231520266477
        54. \n", + "\t
      54. 2.26508172931761
        55. \n", + "\t
      55. 3.18869158277387
        56. \n", + "\t
      56. 4.08592096266244
        57. \n", + "\t
      57. 3.45765990418934
        58. \n", + "\t
      58. 1.45609584110016
        59. \n", + "\t
      59. 5.07033857247559
        60. \n", + "\t
      60. 3.09776445104344
        61. \n", + "\t
      61. 1.65924580799284
        62. \n", + "\t
      62. 3.55962722796987
        63. \n", + "\t
      63. 1.58986345209628
        64. \n", + "\t
      64. 6.2016799402712
        65. \n", + "\t
      65. 5.71236035255276
        66. \n", + "\t
      66. 6.63899649997157
        67. \n", + "\t
      67. 5.72859146781595
        68. \n", + "\t
      68. 3.26532793407356
        69. \n", + "\t
      69. 2.86991166964464
        70. \n", + "\t
      70. 4.33340938630841
        71. \n", + "\t
      71. 1.09361246385562
        72. \n", + "\t
      72. 4.27107334602945
        73. \n", + "\t
      73. 7.18627736780844
        74. \n", + "\t
      74. 6.7712720109207
        75. \n", + "\t
      75. 9.24238034852889
        76. \n", + "\t
      76. 6.31908440462965
        77. \n", + "\t
      77. 4.58089581874688
        78. \n", + "\t
      78. 5.45237798906043
        79. \n", + "\t
      79. 2.12010254201737
        80. \n", + "\t
      80. 6.30424627467917
        81. \n", + "\t
      81. 1.23834435950059
        82. \n", + "\t
      82. 2.37761663135077
        83. \n", + "\t
      83. 4.93492657576085
        84. \n", + "\t
      84. 6.64792206957082
        85. \n", + "\t
      85. 5.81977566940399
        86. \n", + "\t
      86. 5.12951922471737
        87. \n", + "\t
      87. 3.04123454668069
        88. \n", + "\t
      88. 2.12952708129968
        89. \n", + "\t
      89. 3.98455373566038
        90. \n", + "\t
      90. 0.93989950723951
        91. \n", + "\t
      91. 6.78273442908274
        92. \n", + "\t
      92. 6.19059945003715
        93. \n", + "\t
      93. 7.1577855252166
        94. \n", + "\t
      94. 9.51966942029304
        95. \n", + "\t
      95. 4.3784458629495
        96. \n", + "\t
      96. 6.12946343504772
        97. \n", + "\t
      97. 4.53774263700901
        98. \n", + "\t
      98. 5.65705143707726
        99. \n", + "\t
      99. 0.524605374868438
        100. \n", + "\t
      100. 6.67052098098331
        101. \n", + "
      \n", + "
      9. \n", + "\t
      9. \n", + "\t
      1. 1.36935630048601
        2. \n", + "\t
      2. 5.81257000279093
        3. \n", + "\t
      3. 1.55902097700572
        4. \n", + "\t
      4. 2.25518281813466
        5. \n", + "\t
      5. 1.92716161715237
        6. \n", + "\t
      6. 0.694120430453014
        7. \n", + "\t
      7. 2.52224929669016
        8. \n", + "\t
      8. 2.47545717254836
        9. \n", + "\t
      9. 2.41679012777736
        10. \n", + "\t
      10. 1.99242860636709
        11. \n", + "\t
      11. 1.14378475132167
        12. \n", + "\t
      12. 1.69568704421104
        13. \n", + "\t
      13. 1.18783482154324
        14. \n", + "\t
      14. 1.33387572314833
        15. \n", + "\t
      15. 5.38778704498177
        16. \n", + "\t
      16. 1.02746123437574
        17. \n", + "\t
      17. 0.358449420927588
        18. \n", + "\t
      18. 1.15953267879204
        19. \n", + "\t
      19. 1.15973635767962
        20. \n", + "\t
      20. 5.18330559542177
        21. \n", + "\t
      21. 1.99235449057557
        22. \n", + "\t
      22. 6.3891175999386
        23. \n", + "\t
      23. 2.09022301066575
        24. \n", + "\t
      24. 1.09835791267384
        25. \n", + "\t
      25. 3.27869602837533
        26. \n", + "\t
      26. 5.97620347249841
        27. \n", + "\t
      27. 1.75695204852893
        28. \n", + "\t
      28. 1.51953993367251
        29. \n", + "\t
      29. 1.11416073027477
        30. \n", + "\t
      30. 4.61938395214211
        31. \n", + "\t
      31. 5.03774678595264
        32. \n", + "\t
      32. 6.42872290839714
        33. \n", + "\t
      33. 1.42766804404933
        34. \n", + "\t
      34. 1.27487044294354
        35. \n", + "\t
      35. 1.69529049126223
        36. \n", + "\t
      36. 4.71985713606437
        37. \n", + "\t
      37. 2.25699837705515
        38. \n", + "\t
      38. 1.40504452835886
        39. \n", + "\t
      39. 2.3189129298383
        40. \n", + "\t
      40. 1.73291461990831
        41. \n", + "\t
      41. 3.93949971259878
        42. \n", + "\t
      42. 0.873825874618789
        43. \n", + "\t
      43. 2.94323303578502
        44. \n", + "\t
      44. 1.10092379087267
        45. \n", + "\t
      45. 1.91808480646201
        46. \n", + "\t
      46. 1.62075880898275
        47. \n", + "\t
      47. 1.61621985425074
        48. \n", + "\t
      48. 5.81944153084916
        49. \n", + "\t
      49. 1.03192637979294
        50. \n", + "\t
      50. 1.62763851378949
        51. \n", + "\t
      51. 2.30576851811106
        52. \n", + "\t
      52. 1.47287780689834
        53. \n", + "\t
      53. 1.65810026364624
        54. \n", + "\t
      54. 2.49120351341839
        55. \n", + "\t
      55. 2.01153034557113
        56. \n", + "\t
      56. 2.36932772619367
        57. \n", + "\t
      57. 1.08182945356428
        58. \n", + "\t
      58. 0.564675218933219
        59. \n", + "\t
      59. 1.77732159329395
        60. \n", + "\t
      60. 6.9467108000452
        61. \n", + "\t
      61. 1.39460418512104
        62. \n", + "\t
      62. 2.74055914973983
        63. \n", + "\t
      63. 2.20221588284532
        64. \n", + "\t
      64. 1.20056774938037
        65. \n", + "\t
      65. 2.11609782203989
        66. \n", + "\t
      66. 4.43171944988742
        67. \n", + "\t
      67. 0.910331197946161
        68. \n", + "\t
      68. 0.80592506238396
        69. \n", + "\t
      69. 1.8630430728521
        70. \n", + "\t
      70. 1.48185646694941
        71. \n", + "\t
      71. 2.06350036557551
        72. \n", + "\t
      72. 4.33915104755605
        73. \n", + "\t
      73. 2.10463703418971
        74. \n", + "\t
      74. 2.69281432215838
        75. \n", + "\t
      75. 2.08005763927583
        76. \n", + "\t
      76. 2.23837623579525
        77. \n", + "\t
      77. 2.43987684032253
        78. \n", + "\t
      78. 1.94932486783576
        79. \n", + "\t
      79. 1.74501752671726
        80. \n", + "\t
      80. 1.63634667435009
        81. \n", + "\t
      81. 2.07306115647482
        82. \n", + "\t
      82. 2.40219746979433
        83. \n", + "\t
      83. 4.1408157751979
        84. \n", + "\t
      84. 1.29392398915225
        85. \n", + "\t
      85. 1.31310577249486
        86. \n", + "\t
      86. 0.684451318459457
        87. \n", + "\t
      87. 3.92926816331437
        88. \n", + "\t
      88. 1.68273644902843
        89. \n", + "\t
      89. 1.23572284700703
        90. \n", + "\t
      90. 2.79510998871019
        91. \n", + "\t
      91. 1.09707708454657
        92. \n", + "\t
      92. 4.5841748284828
        93. \n", + "\t
      93. 1.72564230061012
        94. \n", + "\t
      94. 1.43166263898103
        95. \n", + "\t
      95. 2.41410062886086
        96. \n", + "\t
      96. 1.20022975527942
        97. \n", + "\t
      97. 1.69203589067324
        98. \n", + "\t
      98. 0.906649094764396
        99. \n", + "\t
      99. 1.75122642582371
        100. \n", + "\t
      100. 1.10848271205845
        101. \n", + "
      \n", + "
      10. \n", + "\t
      10. \n", + "\t
      1. 4.31269698763339
        2. \n", + "\t
      2. 5.79082639128553
        3. \n", + "\t
      3. 3.42865994439721
        4. \n", + "\t
      4. 3.31652612195601
        5. \n", + "\t
      5. 5.65138418761925
        6. \n", + "\t
      6. 3.09480287851807
        7. \n", + "\t
      7. 3.12558418333443
        8. \n", + "\t
      8. 4.26324599927777
        9. \n", + "\t
      9. 1.66009080717875
        10. \n", + "\t
      10. 6.58393215586555
        11. \n", + "\t
      11. 4.90771655243069
        12. \n", + "\t
      12. 5.55793090500157
        13. \n", + "\t
      13. 4.41085318035851
        14. \n", + "\t
      14. 1.77457223335479
        15. \n", + "\t
      15. 4.76483288869677
        16. \n", + "\t
      16. 9.63675631211084
        17. \n", + "\t
      17. 5.07485518285122
        18. \n", + "\t
      18. 3.33393765039675
        19. \n", + "\t
      19. 6.78546087498777
        20. \n", + "\t
      20. 2.61075263587591
        21. \n", + "\t
      21. 6.24788186854681
        22. \n", + "\t
      22. 6.45824287958662
        23. \n", + "\t
      23. 3.70716246583566
        24. \n", + "\t
      24. 1.1457054061967
        25. \n", + "\t
      25. 3.28734897666298
        26. \n", + "\t
      26. 5.88165907153982
        27. \n", + "\t
      27. 2.83332344924318
        28. \n", + "\t
      28. 4.66894698595255
        29. \n", + "\t
      29. 10.3793623843842
        30. \n", + "\t
      30. 7.17755690685762
        31. \n", + "\t
      31. 5.33207312722953
        32. \n", + "\t
      32. 6.14866906965619
        33. \n", + "\t
      33. 6.15654008604517
        34. \n", + "\t
      34. 2.64801007907164
        35. \n", + "\t
      35. 4.28148218151422
        36. \n", + "\t
      36. 3.30934345312048
        37. \n", + "\t
      37. 2.42828003815616
        38. \n", + "\t
      38. 2.70527122490949
        39. \n", + "\t
      39. 8.11335824726509
        40. \n", + "\t
      40. 4.07816916145709
        41. \n", + "\t
      41. 3.9582650004367
        42. \n", + "\t
      42. 7.29256265281373
        43. \n", + "\t
      43. 6.0126158673513
        44. \n", + "\t
      44. 5.34756819745144
        45. \n", + "\t
      45. 7.62309381610875
        46. \n", + "\t
      46. 1.76991378714366
        47. \n", + "\t
      47. 6.60962486281852
        48. \n", + "\t
      48. 5.65299441576265
        49. \n", + "\t
      49. 2.53054602981053
        50. \n", + "\t
      50. 7.9586679360199
        51. \n", + "\t
      51. 5.02307922546817
        52. \n", + "\t
      52. 5.7702803089665
        53. \n", + "\t
      53. 7.58537475156506
        54. \n", + "\t
      54. 7.83802909142735
        55. \n", + "\t
      55. 3.22459748297287
        56. \n", + "\t
      56. 1.32076988950308
        57. \n", + "\t
      57. 3.97756631846229
        58. \n", + "\t
      58. 5.47219153602593
        59. \n", + "\t
      59. 4.10656324119299
        60. \n", + "\t
      60. 3.40632836999244
        61. \n", + "\t
      61. 4.16539625653642
        62. \n", + "\t
      62. 1.56006510465245
        63. \n", + "\t
      63. 6.93068726746959
        64. \n", + "\t
      64. 6.75954006967237
        65. \n", + "\t
      65. 1.53052890491136
        66. \n", + "\t
      66. 8.37096246122549
        67. \n", + "\t
      67. 4.66691765753917
        68. \n", + "\t
      68. 3.99969383389674
        69. \n", + "\t
      69. 6.97103258096688
        70. \n", + "\t
      70. 5.12860522751825
        71. \n", + "\t
      71. 4.55756592656916
        72. \n", + "\t
      72. 4.05020861331607
        73. \n", + "\t
      73. 1.60311378389376
        74. \n", + "\t
      74. 5.53331939696807
        75. \n", + "\t
      75. 8.1774950379169
        76. \n", + "\t
      76. 1.21495427657822
        77. \n", + "\t
      77. 4.66229584587891
        78. \n", + "\t
      78. 6.24118087435098
        79. \n", + "\t
      79. 0.286300126046664
        80. \n", + "\t
      80. 7.44269727702937
        81. \n", + "\t
      81. 3.90559045844877
        82. \n", + "\t
      82. 3.95315581225812
        83. \n", + "\t
      83. 6.20468450006269
        84. \n", + "\t
      84. 7.43329140900877
        85. \n", + "\t
      85. 1.18091491165072
        86. \n", + "\t
      86. 2.5079967149884
        87. \n", + "\t
      87. 7.48177923509528
        88. \n", + "\t
      88. 2.82807192577053
        89. \n", + "\t
      89. 6.4684713293284
        90. \n", + "\t
      90. 6.46046574876049
        91. \n", + "\t
      91. 5.7056400405327
        92. \n", + "\t
      92. 3.59867490633338
        93. \n", + "\t
      93. 4.25698581202871
        94. \n", + "\t
      94. 5.28235468732291
        95. \n", + "\t
      95. 5.91109926621384
        96. \n", + "\t
      96. 2.47105611922735
        97. \n", + "\t
      97. 2.57025690473087
        98. \n", + "\t
      98. 6.84121549056777
        99. \n", + "\t
      99. 3.49162710316912
        100. \n", + "\t
      100. 5.00375452471007
        101. \n", + "
      \n", + "
      11. \n", + "\t
      11. \n", + "\t
      1. 5.09975424925507
        2. \n", + "\t
      2. 1.49574712764836
        3. \n", + "\t
      3. 1.87892233974956
        4. \n", + "\t
      4. 10.091454961653
        5. \n", + "\t
      5. 2.8500382898867
        6. \n", + "\t
      6. 5.06633749135086
        7. \n", + "\t
      7. 1.75961564241278
        8. \n", + "\t
      8. 7.78959780516868
        9. \n", + "\t
      9. 10.2443631225124
        10. \n", + "\t
      10. 8.10300985150828
        11. \n", + "\t
      11. 5.47399966159981
        12. \n", + "\t
      12. 5.16431690315203
        13. \n", + "\t
      13. 2.54576403623693
        14. \n", + "\t
      14. 2.58570953992799
        15. \n", + "\t
      15. 1.73697801748584
        16. \n", + "\t
      16. 1.49844875398732
        17. \n", + "\t
      17. 2.09716262581672
        18. \n", + "\t
      18. 7.20562392539939
        19. \n", + "\t
      19. 5.2704613010153
        20. \n", + "\t
      20. 3.89764222163771
        21. \n", + "\t
      21. 1.73904923200128
        22. \n", + "\t
      22. 3.15607218232549
        23. \n", + "\t
      23. 5.30067513698677
        24. \n", + "\t
      24. 0.823656482979951
        25. \n", + "\t
      25. 15.7366806129608
        26. \n", + "\t
      26. 8.64507158944865
        27. \n", + "\t
      27. 9.25836488809376
        28. \n", + "\t
      28. 5.63229756516471
        29. \n", + "\t
      29. 1.1091613536838
        30. \n", + "\t
      30. 1.38229514357889
        31. \n", + "\t
      31. 8.79230170208104
        32. \n", + "\t
      32. 2.05597396419445
        33. \n", + "\t
      33. 3.67096003692172
        34. \n", + "\t
      34. 1.14033343427247
        35. \n", + "\t
      35. 4.49032998690687
        36. \n", + "\t
      36. 2.06920928587788
        37. \n", + "\t
      37. 4.30593201396935
        38. \n", + "\t
      38. 6.67685047249191
        39. \n", + "\t
      39. 5.2222935287031
        40. \n", + "\t
      40. 7.60888326890402
        41. \n", + "\t
      41. 5.48668931815127
        42. \n", + "\t
      42. 5.27995692865623
        43. \n", + "\t
      43. 2.32406986045519
        44. \n", + "\t
      44. 5.15450502925228
        45. \n", + "\t
      45. 1.56943060171146
        46. \n", + "\t
      46. 8.27336296226954
        47. \n", + "\t
      47. 9.54920277197644
        48. \n", + "\t
      48. 2.86503610452292
        49. \n", + "\t
      49. 1.67704677865279
        50. \n", + "\t
      50. 3.49362343667635
        51. \n", + "\t
      51. 7.09720076204039
        52. \n", + "\t
      52. 5.3928192387313
        53. \n", + "\t
      53. 5.24441967255039
        54. \n", + "\t
      54. 5.30391985323496
        55. \n", + "\t
      55. 6.85471095072875
        56. \n", + "\t
      56. 7.53706428645805
        57. \n", + "\t
      57. 5.73652658277665
        58. \n", + "\t
      58. 8.2830263256545
        59. \n", + "\t
      59. 3.58156601310415
        60. \n", + "\t
      60. 5.4314200087942
        61. \n", + "\t
      61. 2.9073446137719
        62. \n", + "\t
      62. 1.37065789865226
        63. \n", + "\t
      63. 7.51489233486372
        64. \n", + "\t
      64. 5.0634011965281
        65. \n", + "\t
      65. 4.88468796753487
        66. \n", + "\t
      66. 1.57880174990432
        67. \n", + "\t
      67. 1.83295745965782
        68. \n", + "\t
      68. 8.31145807648962
        69. \n", + "\t
      69. 1.02990511326812
        70. \n", + "\t
      70. 3.8855551381064
        71. \n", + "\t
      71. 6.55544437931693
        72. \n", + "\t
      72. 6.37486493894137
        73. \n", + "\t
      73. 4.12197909404295
        74. \n", + "\t
      74. 3.93543610981555
        75. \n", + "\t
      75. 7.90356672404216
        76. \n", + "\t
      76. 2.54578048248853
        77. \n", + "\t
      77. 3.7911019654531
        78. \n", + "\t
      78. 2.12319747503979
        79. \n", + "\t
      79. 5.47230971976809
        80. \n", + "\t
      80. 1.29055275035669
        81. \n", + "\t
      81. 6.46953365375178
        82. \n", + "\t
      82. 1.4539540468129
        83. \n", + "\t
      83. 1.11856665789337
        84. \n", + "\t
      84. 1.97418862889619
        85. \n", + "\t
      85. 8.05267340013559
        86. \n", + "\t
      86. 1.84155394416783
        87. \n", + "\t
      87. 4.7785476258785
        88. \n", + "\t
      88. 6.35794097713486
        89. \n", + "\t
      89. 8.86253843016212
        90. \n", + "\t
      90. 4.20498646039937
        91. \n", + "\t
      91. 1.29821585167007
        92. \n", + "\t
      92. 7.54934825993591
        93. \n", + "\t
      93. 2.81617876018861
        94. \n", + "\t
      94. 3.75543066431076
        95. \n", + "\t
      95. 10.9712156352117
        96. \n", + "\t
      96. 4.55834838944757
        97. \n", + "\t
      97. 5.66231695898668
        98. \n", + "\t
      98. 2.52903940804828
        99. \n", + "\t
      99. 6.36379317312452
        100. \n", + "\t
      100. 5.91529882186132
        101. \n", + "
      \n", + "
      12. \n", + "\t
      12. \n", + "\t
      1. 4.05246330403149
        2. \n", + "\t
      2. 4.03297092766226
        3. \n", + "\t
      3. 2.24431749179498
        4. \n", + "\t
      4. 2.08831705636754
        5. \n", + "\t
      5. 5.38010048328772
        6. \n", + "\t
      6. 4.44697427947945
        7. \n", + "\t
      7. 2.81926432793074
        8. \n", + "\t
      8. 2.32217728897418
        9. \n", + "\t
      9. 2.9714495988627
        10. \n", + "\t
      10. 3.64274253669898
        11. \n", + "\t
      11. 3.12302292970696
        12. \n", + "\t
      12. 5.08304543120865
        13. \n", + "\t
      13. 5.82121107415655
        14. \n", + "\t
      14. 1.27122203666334
        15. \n", + "\t
      15. 2.55018864595367
        16. \n", + "\t
      16. 3.71177344008819
        17. \n", + "\t
      17. 3.45015198164821
        18. \n", + "\t
      18. 1.55870559837542
        19. \n", + "\t
      19. 2.68046338974918
        20. \n", + "\t
      20. 4.15263515865713
        21. \n", + "\t
      21. 2.60202364911486
        22. \n", + "\t
      22. 3.84657933660824
        23. \n", + "\t
      23. 1.47353700019142
        24. \n", + "\t
      24. 1.36308090359988
        25. \n", + "\t
      25. 1.90197355289211
        26. \n", + "\t
      26. 2.28405953424035
        27. \n", + "\t
      27. 3.13529649413707
        28. \n", + "\t
      28. 4.50786687903087
        29. \n", + "\t
      29. 4.93095189127432
        30. \n", + "\t
      30. 1.06663421849821
        31. \n", + "\t
      31. 5.9354645818607
        32. \n", + "\t
      32. 3.68549146415429
        33. \n", + "\t
      33. 1.48052905224188
        34. \n", + "\t
      34. 2.96793512401299
        35. \n", + "\t
      35. 1.53143017927314
        36. \n", + "\t
      36. 2.70255990549846
        37. \n", + "\t
      37. 4.70192306921621
        38. \n", + "\t
      38. 7.6036555288535
        39. \n", + "\t
      39. 2.91084373222738
        40. \n", + "\t
      40. 4.89692617451716
        41. \n", + "\t
      41. 2.10519364329199
        42. \n", + "\t
      42. 2.28424076158317
        43. \n", + "\t
      43. 3.03147052872805
        44. \n", + "\t
      44. 4.23065839744792
        45. \n", + "\t
      45. 2.01065941143568
        46. \n", + "\t
      46. 2.1743248982635
        47. \n", + "\t
      47. 2.28444951391207
        48. \n", + "\t
      48. 4.99286408029358
        49. \n", + "\t
      49. 1.69652670587319
        50. \n", + "\t
      50. 5.75318104926906
        51. \n", + "\t
      51. 6.34313791482137
        52. \n", + "\t
      52. 1.11216424422099
        53. \n", + "\t
      53. 4.0277455296253
        54. \n", + "\t
      54. 3.90450196638847
        55. \n", + "\t
      55. 1.05597662234191
        56. \n", + "\t
      56. 0.778008853319303
        57. \n", + "\t
      57. 2.1746315947007
        58. \n", + "\t
      58. 0.933403621505054
        59. \n", + "\t
      59. 3.03626024900723
        60. \n", + "\t
      60. 3.94086352639448
        61. \n", + "\t
      61. 2.62334435285834
        62. \n", + "\t
      62. 1.79350764776533
        63. \n", + "\t
      63. 5.99737250077394
        64. \n", + "\t
      64. 1.08645096395408
        65. \n", + "\t
      65. 0.888446022885114
        66. \n", + "\t
      66. 2.49521051085173
        67. \n", + "\t
      67. 1.56215836356751
        68. \n", + "\t
      68. 1.04378951433977
        69. \n", + "\t
      69. 1.05342554789381
        70. \n", + "\t
      70. 1.82904059846848
        71. \n", + "\t
      71. 2.90278859870971
        72. \n", + "\t
      72. 3.18515469906608
        73. \n", + "\t
      73. 2.33516789490715
        74. \n", + "\t
      74. 2.74430610320835
        75. \n", + "\t
      75. 1.40354976501997
        76. \n", + "\t
      76. 3.20182056883295
        77. \n", + "\t
      77. 3.03717229380315
        78. \n", + "\t
      78. 0.538079697139134
        79. \n", + "\t
      79. 8.42003162410223
        80. \n", + "\t
      80. 0.74725247477694
        81. \n", + "\t
      81. 4.49105513632599
        82. \n", + "\t
      82. 4.02912000762536
        83. \n", + "\t
      83. 3.18059404646333
        84. \n", + "\t
      84. 2.96066991655154
        85. \n", + "\t
      85. 4.26590481370169
        86. \n", + "\t
      86. 1.41793063499004
        87. \n", + "\t
      87. 3.29653151942353
        88. \n", + "\t
      88. 2.05393043844437
        89. \n", + "\t
      89. 6.38945640282467
        90. \n", + "\t
      90. 2.49631332954846
        91. \n", + "\t
      91. 4.72350400085341
        92. \n", + "\t
      92. 2.41204759265629
        93. \n", + "\t
      93. 4.58572071150402
        94. \n", + "\t
      94. 2.98998394221977
        95. \n", + "\t
      95. 2.67342362642622
        96. \n", + "\t
      96. 3.00916301454469
        97. \n", + "\t
      97. 2.84068856184091
        98. \n", + "\t
      98. 3.80225815271691
        99. \n", + "\t
      99. 1.16673580362822
        100. \n", + "\t
      100. 4.48969103408334
        101. \n", + "
      \n", + "
      13. \n", + "\t
      13. \n", + "\t
      1. 2.48515189953311
        2. \n", + "\t
      2. 5.99139538193423
        3. \n", + "\t
      3. 3.37351315019302
        4. \n", + "\t
      4. 6.79486137548439
        5. \n", + "\t
      5. 3.12613701245819
        6. \n", + "\t
      6. 1.44491891661342
        7. \n", + "\t
      7. 4.97617748793624
        8. \n", + "\t
      8. 3.95659478265292
        9. \n", + "\t
      9. 5.57364803875334
        10. \n", + "\t
      10. 1.83645669621122
        11. \n", + "\t
      11. 3.57479959464957
        12. \n", + "\t
      12. 1.69315319296127
        13. \n", + "\t
      13. 6.10413250374863
        14. \n", + "\t
      14. 4.78027056924771
        15. \n", + "\t
      15. 3.85330156945057
        16. \n", + "\t
      16. 3.084664733527
        17. \n", + "\t
      17. 2.44590189736674
        18. \n", + "\t
      18. 3.08129133767895
        19. \n", + "\t
      19. 1.10134442996188
        20. \n", + "\t
      20. 2.71490378593381
        21. \n", + "\t
      21. 2.93355153938165
        22. \n", + "\t
      22. 4.30169955004761
        23. \n", + "\t
      23. 1.59780610051836
        24. \n", + "\t
      24. 1.85967160475354
        25. \n", + "\t
      25. 1.93813521086761
        26. \n", + "\t
      26. 2.6386167020568
        27. \n", + "\t
      27. 3.00890529934959
        28. \n", + "\t
      28. 0.657749005779735
        29. \n", + "\t
      29. 4.10205618556404
        30. \n", + "\t
      30. 2.38472002237679
        31. \n", + "\t
      31. 5.38825951428986
        32. \n", + "\t
      32. 7.03190209963221
        33. \n", + "\t
      33. 3.40212227912265
        34. \n", + "\t
      34. 1.34095481003312
        35. \n", + "\t
      35. 1.4202580109064
        36. \n", + "\t
      36. 5.1716548487795
        37. \n", + "\t
      37. 2.4909887358441
        38. \n", + "\t
      38. 3.21830054893864
        39. \n", + "\t
      39. 4.71395489400372
        40. \n", + "\t
      40. 2.32532863223357
        41. \n", + "\t
      41. 4.40360060763768
        42. \n", + "\t
      42. 4.51163245298139
        43. \n", + "\t
      43. 2.59987280344013
        44. \n", + "\t
      44. 5.29178880300392
        45. \n", + "\t
      45. 4.47504528502534
        46. \n", + "\t
      46. 4.48520402227517
        47. \n", + "\t
      47. 4.46157578413749
        48. \n", + "\t
      48. 2.81329606815649
        49. \n", + "\t
      49. 2.99338110272339
        50. \n", + "\t
      50. 5.21332813971309
        51. \n", + "\t
      51. 2.80619491941991
        52. \n", + "\t
      52. 3.53948798452146
        53. \n", + "\t
      53. 7.19561642632639
        54. \n", + "\t
      54. 6.6292927097066
        55. \n", + "\t
      55. 7.72996729584166
        56. \n", + "\t
      56. 4.5928651961417
        57. \n", + "\t
      57. 5.56559890498
        58. \n", + "\t
      58. 3.8048180725192
        59. \n", + "\t
      59. 3.58547298875252
        60. \n", + "\t
      60. 4.2638720122709
        61. \n", + "\t
      61. 4.30478415663178
        62. \n", + "\t
      62. 1.55017507109312
        63. \n", + "\t
      63. 2.26972395013939
        64. \n", + "\t
      64. 8.91500167264476
        65. \n", + "\t
      65. 2.01857245559629
        66. \n", + "\t
      66. 6.53236353693349
        67. \n", + "\t
      67. 1.70879838182768
        68. \n", + "\t
      68. 5.7487070881795
        69. \n", + "\t
      69. 5.32470556155574
        70. \n", + "\t
      70. 0.787946588387852
        71. \n", + "\t
      71. 2.94747096967419
        72. \n", + "\t
      72. 7.06277065648334
        73. \n", + "\t
      73. 3.76732251750489
        74. \n", + "\t
      74. 4.42103366814188
        75. \n", + "\t
      75. 1.91046575560995
        76. \n", + "\t
      76. 2.8919814826759
        77. \n", + "\t
      77. 2.19497647110102
        78. \n", + "\t
      78. 4.3175556302671
        79. \n", + "\t
      79. 4.19825064900512
        80. \n", + "\t
      80. 4.33526805790221
        81. \n", + "\t
      81. 1.7746583722955
        82. \n", + "\t
      82. 4.14556746610466
        83. \n", + "\t
      83. 5.85177765844459
        84. \n", + "\t
      84. 2.43851459447789
        85. \n", + "\t
      85. 5.41561814035681
        86. \n", + "\t
      86. 2.62605944953861
        87. \n", + "\t
      87. 4.32086222431042
        88. \n", + "\t
      88. 8.42510490508769
        89. \n", + "\t
      89. 9.14899293643907
        90. \n", + "\t
      90. 3.35213075420893
        91. \n", + "\t
      91. 1.64979703953735
        92. \n", + "\t
      92. 1.53464728403024
        93. \n", + "\t
      93. 2.29559934894587
        94. \n", + "\t
      94. 4.72380264453379
        95. \n", + "\t
      95. 3.17320322541758
        96. \n", + "\t
      96. 4.72719319812799
        97. \n", + "\t
      97. 2.82573645033206
        98. \n", + "\t
      98. 6.36579119293265
        99. \n", + "\t
      99. 6.74502935166133
        100. \n", + "\t
      100. 4.92895667360685
        101. \n", + "
      \n", + "
      14. \n", + "\t
      14. \n", + "\t
      1. 1.92725834411783
        2. \n", + "\t
      2. 2.87643502809008
        3. \n", + "\t
      3. 7.64294975820086
        4. \n", + "\t
      4. 6.16069303383457
        5. \n", + "\t
      5. 2.12364052395932
        6. \n", + "\t
      6. 4.34422598734419
        7. \n", + "\t
      7. 6.15581534862473
        8. \n", + "\t
      8. 4.86287928528865
        9. \n", + "\t
      9. 2.50105663937409
        10. \n", + "\t
      10. 3.04272378554169
        11. \n", + "\t
      11. 3.30219354463175
        12. \n", + "\t
      12. 4.08078527393722
        13. \n", + "\t
      13. 7.77164548842001
        14. \n", + "\t
      14. 8.46462547568124
        15. \n", + "\t
      15. 3.21600765815296
        16. \n", + "\t
      16. 0.666513998589276
        17. \n", + "\t
      17. 1.77892902331738
        18. \n", + "\t
      18. 4.55934603834179
        19. \n", + "\t
      19. 4.25270257601003
        20. \n", + "\t
      20. 9.34515700703
        21. \n", + "\t
      21. 7.78760957695429
        22. \n", + "\t
      22. 4.12788718188887
        23. \n", + "\t
      23. 6.64133883505602
        24. \n", + "\t
      24. 3.25235743162375
        25. \n", + "\t
      25. 5.0587531256898
        26. \n", + "\t
      26. 6.77664690629458
        27. \n", + "\t
      27. 7.04336204488229
        28. \n", + "\t
      28. 4.04650163830283
        29. \n", + "\t
      29. 5.1163480063375
        30. \n", + "\t
      30. 1.71449902704431
        31. \n", + "\t
      31. 4.78111186404401
        32. \n", + "\t
      32. 5.00976459169206
        33. \n", + "\t
      33. 3.84819218041623
        34. \n", + "\t
      34. 7.32887457427015
        35. \n", + "\t
      35. 8.37866097158079
        36. \n", + "\t
      36. 3.29469277058629
        37. \n", + "\t
      37. 6.21918195848965
        38. \n", + "\t
      38. 7.26701146927813
        39. \n", + "\t
      39. 7.10340430896967
        40. \n", + "\t
      40. 2.48337340958044
        41. \n", + "\t
      41. 6.77208484074342
        42. \n", + "\t
      42. 5.705467958147
        43. \n", + "\t
      43. 3.50125751507509
        44. \n", + "\t
      44. 3.86133900106745
        45. \n", + "\t
      45. 10.2478246770002
        46. \n", + "\t
      46. 11.367311900222
        47. \n", + "\t
      47. 7.0640667106909
        48. \n", + "\t
      48. 0.673360717966052
        49. \n", + "\t
      49. 1.38075206618465
        50. \n", + "\t
      50. 6.70111737583882
        51. \n", + "\t
      51. 5.83831669621403
        52. \n", + "\t
      52. 4.84729859514206
        53. \n", + "\t
      53. 1.39479604287488
        54. \n", + "\t
      54. 1.98278051793318
        55. \n", + "\t
      55. 3.51784677228739
        56. \n", + "\t
      56. 5.59674933936434
        57. \n", + "\t
      57. 3.71317456743961
        58. \n", + "\t
      58. 5.32895501577764
        59. \n", + "\t
      59. 3.26233089053298
        60. \n", + "\t
      60. 5.75992096820064
        61. \n", + "\t
      61. 8.74198193950803
        62. \n", + "\t
      62. 7.92676547028981
        63. \n", + "\t
      63. 8.40620711177818
        64. \n", + "\t
      64. 4.13716442288278
        65. \n", + "\t
      65. 5.37645780940296
        66. \n", + "\t
      66. 5.35901393642411
        67. \n", + "\t
      67. 1.3354864104486
        68. \n", + "\t
      68. 5.46146409914999
        69. \n", + "\t
      69. 10.5662442022354
        70. \n", + "\t
      70. 3.35640858474163
        71. \n", + "\t
      71. 9.36333120316293
        72. \n", + "\t
      72. 5.8386444998065
        73. \n", + "\t
      73. 5.55528373137443
        74. \n", + "\t
      74. 4.97273269065951
        75. \n", + "\t
      75. 5.83213626813876
        76. \n", + "\t
      76. 2.19497875560474
        77. \n", + "\t
      77. 7.584155558333
        78. \n", + "\t
      78. 1.41238239697348
        79. \n", + "\t
      79. 4.14562861209882
        80. \n", + "\t
      80. 11.3876093421876
        81. \n", + "\t
      81. 2.4629429837423
        82. \n", + "\t
      82. 4.71476323581848
        83. \n", + "\t
      83. 6.59299600403451
        84. \n", + "\t
      84. 5.05152318108181
        85. \n", + "\t
      85. 5.28706397542845
        86. \n", + "\t
      86. 4.2940689502816
        87. \n", + "\t
      87. 1.84393009257136
        88. \n", + "\t
      88. 4.17729806751987
        89. \n", + "\t
      89. 6.01140511465095
        90. \n", + "\t
      90. 6.09051091815129
        91. \n", + "\t
      91. 7.7479418811237
        92. \n", + "\t
      92. 6.57700134316384
        93. \n", + "\t
      93. 1.17080217197535
        94. \n", + "\t
      94. 2.047971793642
        95. \n", + "\t
      95. 6.1717249392515
        96. \n", + "\t
      96. 5.53704921886063
        97. \n", + "\t
      97. 6.65642652905669
        98. \n", + "\t
      98. 6.95087831285004
        99. \n", + "\t
      99. 1.11794529193871
        100. \n", + "\t
      100. 4.10398806649207
        101. \n", + "
      \n", + "
      15. \n", + "\t
      15. \n", + "\t
      1. 1.80966620532338
        2. \n", + "\t
      2. 4.55412249423692
        3. \n", + "\t
      3. 4.62427438665666
        4. \n", + "\t
      4. 9.75134562472507
        5. \n", + "\t
      5. 5.11233577130131
        6. \n", + "\t
      6. 4.17425760263197
        7. \n", + "\t
      7. 6.09820444692666
        8. \n", + "\t
      8. 1.46190250693537
        9. \n", + "\t
      9. 2.89612723384876
        10. \n", + "\t
      10. 1.33175990728101
        11. \n", + "\t
      11. 1.22117272369732
        12. \n", + "\t
      12. 6.63367969470309
        13. \n", + "\t
      13. 3.03070710088732
        14. \n", + "\t
      14. 4.91051079025195
        15. \n", + "\t
      15. 7.00722949648236
        16. \n", + "\t
      16. 5.90166370818103
        17. \n", + "\t
      17. 5.80694534152447
        18. \n", + "\t
      18. 2.88358710264452
        19. \n", + "\t
      19. 1.88500461161131
        20. \n", + "\t
      20. 8.29484613853879
        21. \n", + "\t
      21. 4.46278537597847
        22. \n", + "\t
      22. 6.46888926316171
        23. \n", + "\t
      23. 3.69326862664455
        24. \n", + "\t
      24. 4.82409317716957
        25. \n", + "\t
      25. 1.82281601629436
        26. \n", + "\t
      26. 4.58700347024787
        27. \n", + "\t
      27. 4.24411073062714
        28. \n", + "\t
      28. 1.60627973936427
        29. \n", + "\t
      29. 6.3654399808306
        30. \n", + "\t
      30. 3.15740225403062
        31. \n", + "\t
      31. 5.67233702721674
        32. \n", + "\t
      32. 6.02533768474426
        33. \n", + "\t
      33. 1.14284572683039
        34. \n", + "\t
      34. 2.40045736316123
        35. \n", + "\t
      35. 2.78666620359827
        36. \n", + "\t
      36. 1.79486035796011
        37. \n", + "\t
      37. 1.72724711905146
        38. \n", + "\t
      38. 5.384955820474
        39. \n", + "\t
      39. 2.29348561977613
        40. \n", + "\t
      40. 2.65445389138711
        41. \n", + "\t
      41. 2.21520427632827
        42. \n", + "\t
      42. 8.04794122816401
        43. \n", + "\t
      43. 4.59007920144457
        44. \n", + "\t
      44. 4.60455842838113
        45. \n", + "\t
      45. 6.89954412355035
        46. \n", + "\t
      46. 2.54445358644709
        47. \n", + "\t
      47. 1.46027389704213
        48. \n", + "\t
      48. 7.60655035488009
        49. \n", + "\t
      49. 2.1019007166878
        50. \n", + "\t
      50. 2.96965793817891
        51. \n", + "\t
      51. 1.47958277882948
        52. \n", + "\t
      52. 3.0780710820045
        53. \n", + "\t
      53. 5.25969131272644
        54. \n", + "\t
      54. 2.5066747404463
        55. \n", + "\t
      55. 3.57095796287739
        56. \n", + "\t
      56. 4.58199113502994
        57. \n", + "\t
      57. 3.95770431271487
        58. \n", + "\t
      58. 4.26299031572112
        59. \n", + "\t
      59. 2.72178751916349
        60. \n", + "\t
      60. 1.81532485373701
        61. \n", + "\t
      61. 6.64403340891644
        62. \n", + "\t
      62. 7.55237743344036
        63. \n", + "\t
      63. 5.50636488021504
        64. \n", + "\t
      64. 3.11686235779198
        65. \n", + "\t
      65. 1.90101183823844
        66. \n", + "\t
      66. 4.71433470061219
        67. \n", + "\t
      67. 4.2530470965531
        68. \n", + "\t
      68. 6.66594042099871
        69. \n", + "\t
      69. 4.52586992465551
        70. \n", + "\t
      70. 4.19928402994007
        71. \n", + "\t
      71. 5.74787307203629
        72. \n", + "\t
      72. 5.59346741080827
        73. \n", + "\t
      73. 3.93450127977752
        74. \n", + "\t
      74. 3.81992673864012
        75. \n", + "\t
      75. 2.41173889661585
        76. \n", + "\t
      76. 2.79991941354773
        77. \n", + "\t
      77. 10.3395472386813
        78. \n", + "\t
      78. 3.06683285705497
        79. \n", + "\t
      79. 0.929390938693215
        80. \n", + "\t
      80. 6.0766931325921
        81. \n", + "\t
      81. 4.32605517706642
        82. \n", + "\t
      82. 0.822999144347352
        83. \n", + "\t
      83. 3.33025517123111
        84. \n", + "\t
      84. 1.9988412521113
        85. \n", + "\t
      85. 1.85589687011902
        86. \n", + "\t
      86. 3.37263578213309
        87. \n", + "\t
      87. 7.10654568968826
        88. \n", + "\t
      88. 7.95573618562226
        89. \n", + "\t
      89. 1.49651088991649
        90. \n", + "\t
      90. 2.9644489278073
        91. \n", + "\t
      91. 4.39658859630257
        92. \n", + "\t
      92. 7.88682770894999
        93. \n", + "\t
      93. 2.18669710609916
        94. \n", + "\t
      94. 3.45530270860703
        95. \n", + "\t
      95. 4.05755426882184
        96. \n", + "\t
      96. 6.01266749174333
        97. \n", + "\t
      97. 3.6811871052982
        98. \n", + "\t
      98. 3.87503697857139
        99. \n", + "\t
      99. 4.51042267642344
        100. \n", + "\t
      100. 6.9577262249241
        101. \n", + "
      \n", + "
      16. \n", + "\t
      16. \n", + "\t
      1. 7.68502619624037
        2. \n", + "\t
      2. 7.38892488509012
        3. \n", + "\t
      3. 6.51962293404447
        4. \n", + "\t
      4. 2.27266409545879
        5. \n", + "\t
      5. 1.78039967101122
        6. \n", + "\t
      6. 3.18103892955873
        7. \n", + "\t
      7. 4.68455482276059
        8. \n", + "\t
      8. 9.05217413655322
        9. \n", + "\t
      9. 3.55952931360613
        10. \n", + "\t
      10. 2.27811593104487
        11. \n", + "\t
      11. 8.5385263116695
        12. \n", + "\t
      12. 5.50473582372903
        13. \n", + "\t
      13. 5.57211630954908
        14. \n", + "\t
      14. 7.28774082697241
        15. \n", + "\t
      15. 11.8475902035153
        16. \n", + "\t
      16. 1.77341204355824
        17. \n", + "\t
      17. 3.77181910754158
        18. \n", + "\t
      18. 4.04975164765224
        19. \n", + "\t
      19. 1.75255166977751
        20. \n", + "\t
      20. 10.1987545118506
        21. \n", + "\t
      21. 3.51801098554829
        22. \n", + "\t
      22. 2.76946857648352
        23. \n", + "\t
      23. 2.86892622689916
        24. \n", + "\t
      24. 1.47524760652451
        25. \n", + "\t
      25. 5.48321414460735
        26. \n", + "\t
      26. 7.73413528602975
        27. \n", + "\t
      27. 1.47808330383399
        28. \n", + "\t
      28. 4.93497636772199
        29. \n", + "\t
      29. 6.74489346328271
        30. \n", + "\t
      30. 5.47736463636086
        31. \n", + "\t
      31. 2.54878554860922
        32. \n", + "\t
      32. 2.18029694948493
        33. \n", + "\t
      33. 1.21048861577678
        34. \n", + "\t
      34. 7.61843710142949
        35. \n", + "\t
      35. 1.33551106052953
        36. \n", + "\t
      36. 2.69361373208291
        37. \n", + "\t
      37. 6.14043673192313
        38. \n", + "\t
      38. 6.10606522292968
        39. \n", + "\t
      39. 2.68979524868966
        40. \n", + "\t
      40. 5.79352836781248
        41. \n", + "\t
      41. 1.62868089080532
        42. \n", + "\t
      42. 5.26297892339824
        43. \n", + "\t
      43. 5.33939590698798
        44. \n", + "\t
      44. 4.52031037521697
        45. \n", + "\t
      45. 6.33682815991985
        46. \n", + "\t
      46. 3.50366631185492
        47. \n", + "\t
      47. 8.10038308900729
        48. \n", + "\t
      48. 2.87551300399898
        49. \n", + "\t
      49. 5.69969887181928
        50. \n", + "\t
      50. 5.27969998881307
        51. \n", + "\t
      51. 7.40986148613469
        52. \n", + "\t
      52. 2.3472415839963
        53. \n", + "\t
      53. 4.07790389885642
        54. \n", + "\t
      54. 1.00801747622158
        55. \n", + "\t
      55. 6.58534237039862
        56. \n", + "\t
      56. 6.05441968082858
        57. \n", + "\t
      57. 5.81569060671693
        58. \n", + "\t
      58. 4.27288382659272
        59. \n", + "\t
      59. 9.5740866382608
        60. \n", + "\t
      60. 2.21623772625793
        61. \n", + "\t
      61. 4.23342280781576
        62. \n", + "\t
      62. 6.77463373802035
        63. \n", + "\t
      63. 8.46494328375309
        64. \n", + "\t
      64. 5.17921415057964
        65. \n", + "\t
      65. 3.56744653459567
        66. \n", + "\t
      66. 3.79194334898153
        67. \n", + "\t
      67. 7.01918824284658
        68. \n", + "\t
      68. 3.47547196261132
        69. \n", + "\t
      69. 6.25810792082163
        70. \n", + "\t
      70. 6.51954032747328
        71. \n", + "\t
      71. 2.71273052662965
        72. \n", + "\t
      72. 3.12117314229818
        73. \n", + "\t
      73. 4.95039652706711
        74. \n", + "\t
      74. 6.78641616327626
        75. \n", + "\t
      75. 4.06357179600091
        76. \n", + "\t
      76. 7.85582136957039
        77. \n", + "\t
      77. 5.30756729834696
        78. \n", + "\t
      78. 3.99207907986936
        79. \n", + "\t
      79. 4.13493361370652
        80. \n", + "\t
      80. 3.86500438385164
        81. \n", + "\t
      81. 8.25951121854509
        82. \n", + "\t
      82. 2.66393618216521
        83. \n", + "\t
      83. 8.53071091714052
        84. \n", + "\t
      84. 3.59619271217773
        85. \n", + "\t
      85. 6.97097214806128
        86. \n", + "\t
      86. 4.80280872249575
        87. \n", + "\t
      87. 4.6416047105406
        88. \n", + "\t
      88. 2.31509375710328
        89. \n", + "\t
      89. 4.72122887356897
        90. \n", + "\t
      90. 5.98824636644895
        91. \n", + "\t
      91. 5.30031462531575
        92. \n", + "\t
      92. 8.01371299950168
        93. \n", + "\t
      93. 4.65736517261381
        94. \n", + "\t
      94. 5.87994320724179
        95. \n", + "\t
      95. 2.32607536161097
        96. \n", + "\t
      96. 5.30623499952757
        97. \n", + "\t
      97. 7.88869521061973
        98. \n", + "\t
      98. 5.78015661328326
        99. \n", + "\t
      99. 5.91892027361247
        100. \n", + "\t
      100. 4.40732356974447
        101. \n", + "
      \n", + "
      17. \n", + "\t
      17. \n", + "\t
      1. 2.69635869400936
        2. \n", + "\t
      2. 6.27739896453045
        3. \n", + "\t
      3. 1.7519920042218
        4. \n", + "\t
      4. 4.43671307300922
        5. \n", + "\t
      5. 5.22536723607585
        6. \n", + "\t
      6. 2.83436632444749
        7. \n", + "\t
      7. 6.36860935279807
        8. \n", + "\t
      8. 7.7742638001439
        9. \n", + "\t
      9. 5.28396996558198
        10. \n", + "\t
      10. 4.75502097331659
        11. \n", + "\t
      11. 5.95276349586442
        12. \n", + "\t
      12. 5.03972966408702
        13. \n", + "\t
      13. 3.38526795071919
        14. \n", + "\t
      14. 1.43454612636039
        15. \n", + "\t
      15. 3.59810052788624
        16. \n", + "\t
      16. 2.64833156081066
        17. \n", + "\t
      17. 5.71216017609035
        18. \n", + "\t
      18. 1.06743338790104
        19. \n", + "\t
      19. 1.90910877951182
        20. \n", + "\t
      20. 4.3277389239957
        21. \n", + "\t
      21. 2.75763854179504
        22. \n", + "\t
      22. 6.69097156222081
        23. \n", + "\t
      23. 5.82303024598124
        24. \n", + "\t
      24. 3.52368939001358
        25. \n", + "\t
      25. 1.23826945939225
        26. \n", + "\t
      26. 4.1903656245052
        27. \n", + "\t
      27. 2.48528579966468
        28. \n", + "\t
      28. 1.49085930907176
        29. \n", + "\t
      29. 1.40294851427929
        30. \n", + "\t
      30. 4.78145725265504
        31. \n", + "\t
      31. 4.94623902121382
        32. \n", + "\t
      32. 3.62095419230929
        33. \n", + "\t
      33. 6.55380769248459
        34. \n", + "\t
      34. 7.57335518641717
        35. \n", + "\t
      35. 1.82368677496894
        36. \n", + "\t
      36. 3.32404662419719
        37. \n", + "\t
      37. 7.16005202342843
        38. \n", + "\t
      38. 2.66236853085186
        39. \n", + "\t
      39. 4.42891875500276
        40. \n", + "\t
      40. 0.608549176775959
        41. \n", + "\t
      41. 1.61030570523355
        42. \n", + "\t
      42. 2.15492747713597
        43. \n", + "\t
      43. 1.19389564048685
        44. \n", + "\t
      44. 4.95579108762996
        45. \n", + "\t
      45. 2.38996547757235
        46. \n", + "\t
      46. 4.33770660062397
        47. \n", + "\t
      47. 2.72472158766918
        48. \n", + "\t
      48. 3.94272427196466
        49. \n", + "\t
      49. 4.7142248622478
        50. \n", + "\t
      50. 6.05723864262292
        51. \n", + "\t
      51. 9.30961974426076
        52. \n", + "\t
      52. 3.50136918822657
        53. \n", + "\t
      53. 2.39379023975232
        54. \n", + "\t
      54. 2.53837213213013
        55. \n", + "\t
      55. 1.13480685707817
        56. \n", + "\t
      56. 1.94545797486096
        57. \n", + "\t
      57. 5.51409719453037
        58. \n", + "\t
      58. 2.59615535245736
        59. \n", + "\t
      59. 5.19672423332519
        60. \n", + "\t
      60. 6.57912822264172
        61. \n", + "\t
      61. 10.6877469647974
        62. \n", + "\t
      62. 2.31981558442797
        63. \n", + "\t
      63. 1.31724886145989
        64. \n", + "\t
      64. 5.60417375119859
        65. \n", + "\t
      65. 3.41832440520882
        66. \n", + "\t
      66. 1.75669744133674
        67. \n", + "\t
      67. 3.07517507217428
        68. \n", + "\t
      68. 9.74685074751786
        69. \n", + "\t
      69. 1.95164766334682
        70. \n", + "\t
      70. 6.26897802747976
        71. \n", + "\t
      71. 4.04549355015697
        72. \n", + "\t
      72. 2.89404408222233
        73. \n", + "\t
      73. 4.56366580803951
        74. \n", + "\t
      74. 2.03264029360789
        75. \n", + "\t
      75. 6.07775291553421
        76. \n", + "\t
      76. 6.33286410793588
        77. \n", + "\t
      77. 5.82197084653985
        78. \n", + "\t
      78. 2.65117855753557
        79. \n", + "\t
      79. 4.26494190763739
        80. \n", + "\t
      80. 2.02525147700902
        81. \n", + "\t
      81. 2.87044111565899
        82. \n", + "\t
      82. 3.24313579402158
        83. \n", + "\t
      83. 3.91204612406218
        84. \n", + "\t
      84. 3.48875712173202
        85. \n", + "\t
      85. 1.60759860785434
        86. \n", + "\t
      86. 3.39701031464592
        87. \n", + "\t
      87. 1.78992828830197
        88. \n", + "\t
      88. 3.9839358403609
        89. \n", + "\t
      89. 1.90453535169939
        90. \n", + "\t
      90. 6.33754514724471
        91. \n", + "\t
      91. 3.69617014435091
        92. \n", + "\t
      92. 6.56467706667067
        93. \n", + "\t
      93. 9.31000920528741
        94. \n", + "\t
      94. 3.78790402000158
        95. \n", + "\t
      95. 7.15157591398403
        96. \n", + "\t
      96. 1.2926007260022
        97. \n", + "\t
      97. 4.22168154989526
        98. \n", + "\t
      98. 5.69442177961716
        99. \n", + "\t
      99. 4.2880924393703
        100. \n", + "\t
      100. 3.89231379390036
        101. \n", + "
      \n", + "
      18. \n", + "\t
      18. \n", + "\t
      1. 5.48675440059876
        2. \n", + "\t
      2. 3.17467643688782
        3. \n", + "\t
      3. 6.39887874746113
        4. \n", + "\t
      4. 2.85830921614722
        5. \n", + "\t
      5. 7.11217592895027
        6. \n", + "\t
      6. 1.87641394343723
        7. \n", + "\t
      7. 2.86442262960699
        8. \n", + "\t
      8. 4.75158606155284
        9. \n", + "\t
      9. 1.7705580434766
        10. \n", + "\t
      10. 1.06382063772515
        11. \n", + "\t
      11. 1.86701190686666
        12. \n", + "\t
      12. 2.13454828746701
        13. \n", + "\t
      13. 3.88316792759886
        14. \n", + "\t
      14. 6.43347663850788
        15. \n", + "\t
      15. 6.19503266627106
        16. \n", + "\t
      16. 1.90044354776971
        17. \n", + "\t
      17. 2.0843780703101
        18. \n", + "\t
      18. 6.72223018369271
        19. \n", + "\t
      19. 0.797008903763485
        20. \n", + "\t
      20. 2.28386778243903
        21. \n", + "\t
      21. 7.20109444717423
        22. \n", + "\t
      22. 6.49777875926284
        23. \n", + "\t
      23. 3.36780893543867
        24. \n", + "\t
      24. 2.59178842604905
        25. \n", + "\t
      25. 3.19195528131484
        26. \n", + "\t
      26. 2.10448767747074
        27. \n", + "\t
      27. 4.29392195355831
        28. \n", + "\t
      28. 2.46547247581699
        29. \n", + "\t
      29. 7.43922497598123
        30. \n", + "\t
      30. 2.72462414300829
        31. \n", + "\t
      31. 1.97293402483293
        32. \n", + "\t
      32. 6.41993181588083
        33. \n", + "\t
      33. 2.84587295946611
        34. \n", + "\t
      34. 1.2297897864475
        35. \n", + "\t
      35. 5.93541713006643
        36. \n", + "\t
      36. 7.73957040634904
        37. \n", + "\t
      37. 5.3646920707085
        38. \n", + "\t
      38. 1.60259810960732
        39. \n", + "\t
      39. 1.7921282876187
        40. \n", + "\t
      40. 2.80195594662493
        41. \n", + "\t
      41. 4.77530986605808
        42. \n", + "\t
      42. 4.83803837700091
        43. \n", + "\t
      43. 1.83811844784852
        44. \n", + "\t
      44. 1.62403743252174
        45. \n", + "\t
      45. 4.48872679333978
        46. \n", + "\t
      46. 2.71535067558649
        47. \n", + "\t
      47. 5.03300553880926
        48. \n", + "\t
      48. 3.43984052268466
        49. \n", + "\t
      49. 3.81538486397327
        50. \n", + "\t
      50. 3.83369976118549
        51. \n", + "\t
      51. 2.25406186442719
        52. \n", + "\t
      52. 6.87927656684953
        53. \n", + "\t
      53. 2.35987116230188
        54. \n", + "\t
      54. 1.89652137887436
        55. \n", + "\t
      55. 4.81448053816235
        56. \n", + "\t
      56. 2.68025562711053
        57. \n", + "\t
      57. 1.80167641874116
        58. \n", + "\t
      58. 1.531703981843
        59. \n", + "\t
      59. 1.89685296831229
        60. \n", + "\t
      60. 2.16414172778697
        61. \n", + "\t
      61. 1.95435481066745
        62. \n", + "\t
      62. 1.67069040124306
        63. \n", + "\t
      63. 6.02833266018483
        64. \n", + "\t
      64. 7.10576092093509
        65. \n", + "\t
      65. 3.05572369441537
        66. \n", + "\t
      66. 3.48775495972116
        67. \n", + "\t
      67. 2.70278440158472
        68. \n", + "\t
      68. 3.54569563776061
        69. \n", + "\t
      69. 6.54105439329327
        70. \n", + "\t
      70. 1.42384408004169
        71. \n", + "\t
      71. 6.03278416844129
        72. \n", + "\t
      72. 1.97757387039941
        73. \n", + "\t
      73. 6.89701760202682
        74. \n", + "\t
      74. 5.83951687800502
        75. \n", + "\t
      75. 1.71486310861323
        76. \n", + "\t
      76. 0.883824654372959
        77. \n", + "\t
      77. 3.25881850604689
        78. \n", + "\t
      78. 2.05720902152633
        79. \n", + "\t
      79. 4.20160218961795
        80. \n", + "\t
      80. 5.87236858872444
        81. \n", + "\t
      81. 3.26899092408076
        82. \n", + "\t
      82. 3.93634918943394
        83. \n", + "\t
      83. 7.81135863802518
        84. \n", + "\t
      84. 8.70205791234221
        85. \n", + "\t
      85. 2.24423497684239
        86. \n", + "\t
      86. 3.09678174595435
        87. \n", + "\t
      87. 2.20011561651522
        88. \n", + "\t
      88. 3.44015498191814
        89. \n", + "\t
      89. 6.24390306868331
        90. \n", + "\t
      90. 1.89093437690909
        91. \n", + "\t
      91. 6.27899846850332
        92. \n", + "\t
      92. 3.50608779915458
        93. \n", + "\t
      93. 0.810272771096226
        94. \n", + "\t
      94. 5.19698825941725
        95. \n", + "\t
      95. 2.85281560296649
        96. \n", + "\t
      96. 3.46192985427267
        97. \n", + "\t
      97. 8.03963283201143
        98. \n", + "\t
      98. 1.09254196348086
        99. \n", + "\t
      99. 1.44388671816682
        100. \n", + "\t
      100. 1.63284684209851
        101. \n", + "
      \n", + "
      19. \n", + "\t
      19. \n", + "\t
      1. 6.9847401670112
        2. \n", + "\t
      2. 1.89065647718194
        3. \n", + "\t
      3. 4.15214781032227
        4. \n", + "\t
      4. 3.29601477353997
        5. \n", + "\t
      5. 7.24793129469219
        6. \n", + "\t
      6. 8.69170021126224
        7. \n", + "\t
      7. 4.93428279479148
        8. \n", + "\t
      8. 1.2875823653907
        9. \n", + "\t
      9. 7.96906830452952
        10. \n", + "\t
      10. 7.90580755941419
        11. \n", + "\t
      11. 1.17989937647116
        12. \n", + "\t
      12. 3.28592586721239
        13. \n", + "\t
      13. 5.47369025239897
        14. \n", + "\t
      14. 5.47358247858924
        15. \n", + "\t
      15. 1.2799139125377
        16. \n", + "\t
      16. 5.40034841523825
        17. \n", + "\t
      17. 3.76771190339801
        18. \n", + "\t
      18. 3.67137569548382
        19. \n", + "\t
      19. 2.47996421591222
        20. \n", + "\t
      20. 2.64972654860207
        21. \n", + "\t
      21. 2.6279306971409
        22. \n", + "\t
      22. 4.70444721803132
        23. \n", + "\t
      23. 1.82103265308182
        24. \n", + "\t
      24. 5.16714709022813
        25. \n", + "\t
      25. 5.08704524066278
        26. \n", + "\t
      26. 5.67928172665025
        27. \n", + "\t
      27. 4.34813694504132
        28. \n", + "\t
      28. 6.45189125067166
        29. \n", + "\t
      29. 1.68143993485388
        30. \n", + "\t
      30. 2.02822693354504
        31. \n", + "\t
      31. 8.81218761777615
        32. \n", + "\t
      32. 4.48062451261649
        33. \n", + "\t
      33. 2.90479533425883
        34. \n", + "\t
      34. 6.04612621873129
        35. \n", + "\t
      35. 3.86322939280368
        36. \n", + "\t
      36. 5.12359401778992
        37. \n", + "\t
      37. 7.02854093573452
        38. \n", + "\t
      38. 3.50649763142433
        39. \n", + "\t
      39. 8.15972075542527
        40. \n", + "\t
      40. 9.2880476817579
        41. \n", + "\t
      41. 1.58080793919835
        42. \n", + "\t
      42. 2.14734397858375
        43. \n", + "\t
      43. 6.13076824419717
        44. \n", + "\t
      44. 7.29574605342387
        45. \n", + "\t
      45. 4.72786155180898
        46. \n", + "\t
      46. 0.473902108296734
        47. \n", + "\t
      47. 1.28425054973136
        48. \n", + "\t
      48. 5.10830635757801
        49. \n", + "\t
      49. 3.415217321999
        50. \n", + "\t
      50. 3.54379962836245
        51. \n", + "\t
      51. 4.23996833317021
        52. \n", + "\t
      52. 7.70360198047583
        53. \n", + "\t
      53. 2.11095350733489
        54. \n", + "\t
      54. 3.15944396284375
        55. \n", + "\t
      55. 3.88788134254286
        56. \n", + "\t
      56. 3.23394300719373
        57. \n", + "\t
      57. 1.24795258570849
        58. \n", + "\t
      58. 4.67054110476738
        59. \n", + "\t
      59. 1.19879396462053
        60. \n", + "\t
      60. 2.64086093488053
        61. \n", + "\t
      61. 1.26422647023197
        62. \n", + "\t
      62. 3.21005382441475
        63. \n", + "\t
      63. 3.69028456956576
        64. \n", + "\t
      64. 4.79494818688204
        65. \n", + "\t
      65. 3.21787496258614
        66. \n", + "\t
      66. 1.96989348773985
        67. \n", + "\t
      67. 3.10535479071905
        68. \n", + "\t
      68. 1.29199159151947
        69. \n", + "\t
      69. 2.91159799681139
        70. \n", + "\t
      70. 1.74175691235701
        71. \n", + "\t
      71. 2.65522409127404
        72. \n", + "\t
      72. 2.7335272713274
        73. \n", + "\t
      73. 2.14307062691453
        74. \n", + "\t
      74. 3.16417908438128
        75. \n", + "\t
      75. 3.28484205774145
        76. \n", + "\t
      76. 4.67208966596296
        77. \n", + "\t
      77. 3.27381153899263
        78. \n", + "\t
      78. 4.24587452818578
        79. \n", + "\t
      79. 7.6453259062249
        80. \n", + "\t
      80. 5.07610383341099
        81. \n", + "\t
      81. 4.24233632129258
        82. \n", + "\t
      82. 2.61568398304477
        83. \n", + "\t
      83. 3.73285193263942
        84. \n", + "\t
      84. 4.26837081185484
        85. \n", + "\t
      85. 4.39851016596884
        86. \n", + "\t
      86. 3.76875962194947
        87. \n", + "\t
      87. 1.82067421033698
        88. \n", + "\t
      88. 5.33253308172285
        89. \n", + "\t
      89. 1.26806163956501
        90. \n", + "\t
      90. 6.06946046181119
        91. \n", + "\t
      91. 1.70811558964724
        92. \n", + "\t
      92. 6.28342864244514
        93. \n", + "\t
      93. 1.55274475373849
        94. \n", + "\t
      94. 1.88725929597445
        95. \n", + "\t
      95. 1.40383756048381
        96. \n", + "\t
      96. 6.03141964492531
        97. \n", + "\t
      97. 5.14867036912384
        98. \n", + "\t
      98. 6.53506456121821
        99. \n", + "\t
      99. 8.12087072659291
        100. \n", + "\t
      100. 5.23200652085501
        101. \n", + "
      \n", + "
      20. \n", + "\t
      20. \n", + "\t
      1. 3.69584936972449
        2. \n", + "\t
      2. 2.49699838425425
        3. \n", + "\t
      3. 2.00840535811159
        4. \n", + "\t
      4. 1.08072032187925
        5. \n", + "\t
      5. 1.84183914486819
        6. \n", + "\t
      6. 2.61777877089636
        7. \n", + "\t
      7. 5.19621759523973
        8. \n", + "\t
      8. 2.5112327931748
        9. \n", + "\t
      9. 3.08138915559517
        10. \n", + "\t
      10. 6.43307246756901
        11. \n", + "\t
      11. 0.906295641962538
        12. \n", + "\t
      12. 4.32325921414387
        13. \n", + "\t
      13. 4.71395050794486
        14. \n", + "\t
      14. 1.56567386203381
        15. \n", + "\t
      15. 1.82848527541418
        16. \n", + "\t
      16. 2.83978040439876
        17. \n", + "\t
      17. 5.01717136003633
        18. \n", + "\t
      18. 0.987513337641646
        19. \n", + "\t
      19. 1.93014094353967
        20. \n", + "\t
      20. 3.80063797087771
        21. \n", + "\t
      21. 6.48666797809682
        22. \n", + "\t
      22. 0.594232635146751
        23. \n", + "\t
      23. 2.53152026631474
        24. \n", + "\t
      24. 2.87023411085694
        25. \n", + "\t
      25. 3.38400149090641
        26. \n", + "\t
      26. 3.47569049527264
        27. \n", + "\t
      27. 2.34370019675152
        28. \n", + "\t
      28. 1.16581527299373
        29. \n", + "\t
      29. 1.26546072808892
        30. \n", + "\t
      30. 1.90662408708832
        31. \n", + "\t
      31. 4.18491517960048
        32. \n", + "\t
      32. 2.75594347852702
        33. \n", + "\t
      33. 2.14784094524875
        34. \n", + "\t
      34. 4.0305434669031
        35. \n", + "\t
      35. 2.76621882796512
        36. \n", + "\t
      36. 3.94295419121312
        37. \n", + "\t
      37. 6.14225990129386
        38. \n", + "\t
      38. 4.23856648138041
        39. \n", + "\t
      39. 3.40155142583111
        40. \n", + "\t
      40. 1.78841001455528
        41. \n", + "\t
      41. 2.17073513909175
        42. \n", + "\t
      42. 2.32465538868527
        43. \n", + "\t
      43. 2.17899779771652
        44. \n", + "\t
      44. 6.89629378487663
        45. \n", + "\t
      45. 4.52911023371704
        46. \n", + "\t
      46. 3.61230039801039
        47. \n", + "\t
      47. 2.59237249910906
        48. \n", + "\t
      48. 1.96914595478049
        49. \n", + "\t
      49. 2.27840121631857
        50. \n", + "\t
      50. 3.60442273295507
        51. \n", + "\t
      51. 3.06557820701461
        52. \n", + "\t
      52. 5.79408926914945
        53. \n", + "\t
      53. 1.1553019050215
        54. \n", + "\t
      54. 2.23119210392926
        55. \n", + "\t
      55. 5.78622171050933
        56. \n", + "\t
      56. 5.62697149759359
        57. \n", + "\t
      57. 2.36554454947782
        58. \n", + "\t
      58. 2.57257859433449
        59. \n", + "\t
      59. 4.39412685784749
        60. \n", + "\t
      60. 2.46392319986834
        61. \n", + "\t
      61. 5.6258564230765
        62. \n", + "\t
      62. 2.3669319780262
        63. \n", + "\t
      63. 4.3053068386105
        64. \n", + "\t
      64. 1.39883463255638
        65. \n", + "\t
      65. 1.25118118474486
        66. \n", + "\t
      66. 1.5918123103549
        67. \n", + "\t
      67. 3.11086773112752
        68. \n", + "\t
      68. 4.95775111062005
        69. \n", + "\t
      69. 2.4904902419782
        70. \n", + "\t
      70. 1.90699629807863
        71. \n", + "\t
      71. 6.83906376592812
        72. \n", + "\t
      72. 3.54888927444698
        73. \n", + "\t
      73. 3.26926305770662
        74. \n", + "\t
      74. 3.57561543266603
        75. \n", + "\t
      75. 3.56303273663258
        76. \n", + "\t
      76. 2.29550561412709
        77. \n", + "\t
      77. 3.22518874714167
        78. \n", + "\t
      78. 3.36420911799848
        79. \n", + "\t
      79. 6.48171969621115
        80. \n", + "\t
      80. 4.27068199474603
        81. \n", + "\t
      81. 3.85678404441959
        82. \n", + "\t
      82. 2.0158345482944
        83. \n", + "\t
      83. 1.25613106425192
        84. \n", + "\t
      84. 2.51131455694033
        85. \n", + "\t
      85. 3.79378666089819
        86. \n", + "\t
      86. 2.46557096464825
        87. \n", + "\t
      87. 2.0270759567326
        88. \n", + "\t
      88. 5.57317085193294
        89. \n", + "\t
      89. 2.70102924611087
        90. \n", + "\t
      90. 5.55680765078537
        91. \n", + "\t
      91. 3.65659633685481
        92. \n", + "\t
      92. 5.84928394862895
        93. \n", + "\t
      93. 2.81587589422097
        94. \n", + "\t
      94. 1.18178689496881
        95. \n", + "\t
      95. 2.72173498174517
        96. \n", + "\t
      96. 2.48985573362354
        97. \n", + "\t
      97. 4.4915331078746
        98. \n", + "\t
      98. 3.42627924231326
        99. \n", + "\t
      99. 1.36451982098963
        100. \n", + "\t
      100. 2.62231993700669
        101. \n", + "
      \n", + "
      21. \n", + "\t
      21. \n", + "\t
      1. 6.36488910303046
        2. \n", + "\t
      2. 4.94334591063897
        3. \n", + "\t
      3. 3.98389861844806
        4. \n", + "\t
      4. 9.25632202858532
        5. \n", + "\t
      5. 5.12063829570488
        6. \n", + "\t
      6. 6.23786860736365
        7. \n", + "\t
      7. 0.701841188002244
        8. \n", + "\t
      8. 5.67559522026141
        9. \n", + "\t
      9. 3.49434243976426
        10. \n", + "\t
      10. 5.41822574251008
        11. \n", + "\t
      11. 8.30571796381023
        12. \n", + "\t
      12. 10.7477684876352
        13. \n", + "\t
      13. 2.55013774754186
        14. \n", + "\t
      14. 6.34171881997449
        15. \n", + "\t
      15. 6.63229239320222
        16. \n", + "\t
      16. 7.04624693043383
        17. \n", + "\t
      17. 1.67543338124097
        18. \n", + "\t
      18. 4.70061772966265
        19. \n", + "\t
      19. 2.69554920940446
        20. \n", + "\t
      20. 5.39075244061432
        21. \n", + "\t
      21. 2.0357756444322
        22. \n", + "\t
      22. 2.27141888897684
        23. \n", + "\t
      23. 4.81837957852784
        24. \n", + "\t
      24. 8.25545949613494
        25. \n", + "\t
      25. 3.16771635667194
        26. \n", + "\t
      26. 5.78975203095388
        27. \n", + "\t
      27. 5.49617864806221
        28. \n", + "\t
      28. 1.19864820098633
        29. \n", + "\t
      29. 1.69479899624374
        30. \n", + "\t
      30. 2.84846194129032
        31. \n", + "\t
      31. 7.25800634546816
        32. \n", + "\t
      32. 6.75257819707679
        33. \n", + "\t
      33. 3.45777671768669
        34. \n", + "\t
      34. 2.69396609621491
        35. \n", + "\t
      35. 4.30292802063473
        36. \n", + "\t
      36. 2.67435912758005
        37. \n", + "\t
      37. 2.66320377715064
        38. \n", + "\t
      38. 5.4712968722747
        39. \n", + "\t
      39. 2.36235785263915
        40. \n", + "\t
      40. 7.1036190683504
        41. \n", + "\t
      41. 6.56255384918426
        42. \n", + "\t
      42. 5.98446073007874
        43. \n", + "\t
      43. 1.84705211919773
        44. \n", + "\t
      44. 1.63887885926808
        45. \n", + "\t
      45. 8.28755477547605
        46. \n", + "\t
      46. 9.40583571008119
        47. \n", + "\t
      47. 2.16801333758491
        48. \n", + "\t
      48. 7.18905695047221
        49. \n", + "\t
      49. 1.8598341622764
        50. \n", + "\t
      50. 2.6631648490736
        51. \n", + "\t
      51. 6.33035698176936
        52. \n", + "\t
      52. 2.66050905364086
        53. \n", + "\t
      53. 2.40924465038628
        54. \n", + "\t
      54. 4.79460756690004
        55. \n", + "\t
      55. 2.88140817463965
        56. \n", + "\t
      56. 2.81839236955841
        57. \n", + "\t
      57. 2.46345660583529
        58. \n", + "\t
      58. 3.35976461721073
        59. \n", + "\t
      59. 5.92730140438997
        60. \n", + "\t
      60. 6.90919862628311
        61. \n", + "\t
      61. 5.06406239452709
        62. \n", + "\t
      62. 3.1099647656176
        63. \n", + "\t
      63. 6.00158016015143
        64. \n", + "\t
      64. 6.42996999358242
        65. \n", + "\t
      65. 3.49858825550776
        66. \n", + "\t
      66. 7.07864083447212
        67. \n", + "\t
      67. 1.86946847785665
        68. \n", + "\t
      68. 2.04769324425649
        69. \n", + "\t
      69. 2.91138489082945
        70. \n", + "\t
      70. 7.79602036742524
        71. \n", + "\t
      71. 1.69275903079188
        72. \n", + "\t
      72. 3.41698215896246
        73. \n", + "\t
      73. 4.957539042675
        74. \n", + "\t
      74. 5.13398951541831
        75. \n", + "\t
      75. 3.84488466557404
        76. \n", + "\t
      76. 5.39033687246889
        77. \n", + "\t
      77. 4.66728461240868
        78. \n", + "\t
      78. 3.59503055313441
        79. \n", + "\t
      79. 2.99893423505226
        80. \n", + "\t
      80. 2.4085177297191
        81. \n", + "\t
      81. 6.72678097912971
        82. \n", + "\t
      82. 5.46845517305544
        83. \n", + "\t
      83. 3.86322122266327
        84. \n", + "\t
      84. 2.513127580204
        85. \n", + "\t
      85. 1.98736689905165
        86. \n", + "\t
      86. 5.04426159096796
        87. \n", + "\t
      87. 3.88975395342076
        88. \n", + "\t
      88. 2.19118797179985
        89. \n", + "\t
      89. 6.97081154440839
        90. \n", + "\t
      90. 2.64710144676975
        91. \n", + "\t
      91. 3.42846570128062
        92. \n", + "\t
      92. 4.66253899259639
        93. \n", + "\t
      93. 1.47408906877225
        94. \n", + "\t
      94. 6.86759224372025
        95. \n", + "\t
      95. 5.41622931212485
        96. \n", + "\t
      96. 3.56486247900308
        97. \n", + "\t
      97. 3.5709122305837
        98. \n", + "\t
      98. 5.05367836253215
        99. \n", + "\t
      99. 4.20824214587951
        100. \n", + "\t
      100. 7.00340519143349
        101. \n", + "
      \n", + "
      22. \n", + "\t
      22. \n", + "\t
      1. 5.32733532860995
        2. \n", + "\t
      2. 3.9822255678921
        3. \n", + "\t
      3. 7.15913653148444
        4. \n", + "\t
      4. 5.00321923801464
        5. \n", + "\t
      5. 2.08679173349617
        6. \n", + "\t
      6. 2.77196355707764
        7. \n", + "\t
      7. 2.49990975958608
        8. \n", + "\t
      8. 4.57748181716606
        9. \n", + "\t
      9. 3.84484730895162
        10. \n", + "\t
      10. 6.7201211066346
        11. \n", + "\t
      11. 6.63432858787695
        12. \n", + "\t
      12. 8.06542799981779
        13. \n", + "\t
      13. 6.76445953605325
        14. \n", + "\t
      14. 4.42999275130371
        15. \n", + "\t
      15. 6.76706111366495
        16. \n", + "\t
      16. 5.22453250932284
        17. \n", + "\t
      17. 6.74923331286767
        18. \n", + "\t
      18. 1.39855623836501
        19. \n", + "\t
      19. 4.72549053827684
        20. \n", + "\t
      20. 3.1180217748954
        21. \n", + "\t
      21. 6.09908407197399
        22. \n", + "\t
      22. 3.86371364322693
        23. \n", + "\t
      23. 9.01806088341062
        24. \n", + "\t
      24. 7.86943593758145
        25. \n", + "\t
      25. 6.53398754581272
        26. \n", + "\t
      26. 7.76871029880694
        27. \n", + "\t
      27. 4.15830652115989
        28. \n", + "\t
      28. 4.42047518098557
        29. \n", + "\t
      29. 3.42862910579101
        30. \n", + "\t
      30. 4.57785379554239
        31. \n", + "\t
      31. 4.46146718483222
        32. \n", + "\t
      32. 5.13594321676451
        33. \n", + "\t
      33. 2.76296373647147
        34. \n", + "\t
      34. 5.7803859814433
        35. \n", + "\t
      35. 4.10510675245806
        36. \n", + "\t
      36. 5.43610011121236
        37. \n", + "\t
      37. 7.10097017687463
        38. \n", + "\t
      38. 9.36925773965459
        39. \n", + "\t
      39. 2.50313458031377
        40. \n", + "\t
      40. 2.60551278903922
        41. \n", + "\t
      41. 5.82272706070444
        42. \n", + "\t
      42. 3.04086058422377
        43. \n", + "\t
      43. 2.18098926991928
        44. \n", + "\t
      44. 3.88221961694853
        45. \n", + "\t
      45. 7.81184033066238
        46. \n", + "\t
      46. 5.9018362264965
        47. \n", + "\t
      47. 2.87360046161879
        48. \n", + "\t
      48. 7.054180637972
        49. \n", + "\t
      49. 4.48239975223018
        50. \n", + "\t
      50. 4.09226352414297
        51. \n", + "\t
      51. 3.105542396461
        52. \n", + "\t
      52. 4.14705723556955
        53. \n", + "\t
      53. 7.01511448100415
        54. \n", + "\t
      54. 8.63455699004045
        55. \n", + "\t
      55. 6.42847457433764
        56. \n", + "\t
      56. 7.9997366470796
        57. \n", + "\t
      57. 7.48874265471495
        58. \n", + "\t
      58. 2.76910801538305
        59. \n", + "\t
      59. 8.37090421782274
        60. \n", + "\t
      60. 6.57789119487834
        61. \n", + "\t
      61. 5.53900695644742
        62. \n", + "\t
      62. 5.65885428096155
        63. \n", + "\t
      63. 3.34841341277084
        64. \n", + "\t
      64. 4.70891115148277
        65. \n", + "\t
      65. 2.91537664101041
        66. \n", + "\t
      66. 5.8209355658853
        67. \n", + "\t
      67. 4.85522315856728
        68. \n", + "\t
      68. 6.24070010077741
        69. \n", + "\t
      69. 1.33106526074207
        70. \n", + "\t
      70. 5.62053980146127
        71. \n", + "\t
      71. 7.19507304792053
        72. \n", + "\t
      72. 3.35980256999373
        73. \n", + "\t
      73. 4.51262597756191
        74. \n", + "\t
      74. 1.86181739697992
        75. \n", + "\t
      75. 2.83064035178986
        76. \n", + "\t
      76. 6.22539648266149
        77. \n", + "\t
      77. 5.13541846014736
        78. \n", + "\t
      78. 7.09102529996324
        79. \n", + "\t
      79. 5.39042919283695
        80. \n", + "\t
      80. 7.64867754404009
        81. \n", + "\t
      81. 3.6062432512126
        82. \n", + "\t
      82. 6.36867538930889
        83. \n", + "\t
      83. 9.63126329818998
        84. \n", + "\t
      84. 2.96217505018099
        85. \n", + "\t
      85. 7.31694423221643
        86. \n", + "\t
      86. 2.08502744137831
        87. \n", + "\t
      87. 5.63735183942937
        88. \n", + "\t
      88. 4.59968156293431
        89. \n", + "\t
      89. 4.72865633906921
        90. \n", + "\t
      90. 3.93075746329737
        91. \n", + "\t
      91. 6.89375628538556
        92. \n", + "\t
      92. 7.38609504551204
        93. \n", + "\t
      93. 4.15141357992113
        94. \n", + "\t
      94. 1.03340293256905
        95. \n", + "\t
      95. 4.66682404501561
        96. \n", + "\t
      96. 7.25786394936132
        97. \n", + "\t
      97. 1.24713281423563
        98. \n", + "\t
      98. 9.0379340997347
        99. \n", + "\t
      99. 5.57733690257146
        100. \n", + "\t
      100. 8.55191330388362
        101. \n", + "
      \n", + "
      23. \n", + "\t
      23. \n", + "\t
      1. 4.4784970892613
        2. \n", + "\t
      2. 1.80035378683288
        3. \n", + "\t
      3. 5.10231002492126
        4. \n", + "\t
      4. 2.60917712917409
        5. \n", + "\t
      5. 0.985700885867674
        6. \n", + "\t
      6. 1.21309840378652
        7. \n", + "\t
      7. 3.70575841610354
        8. \n", + "\t
      8. 0.71665211436124
        9. \n", + "\t
      9. 2.40817160484175
        10. \n", + "\t
      10. 4.5254232362976
        11. \n", + "\t
      11. 5.13465754822334
        12. \n", + "\t
      12. 8.69261952936659
        13. \n", + "\t
      13. 4.5191974519101
        14. \n", + "\t
      14. 1.65580939173958
        15. \n", + "\t
      15. 0.96013071364377
        16. \n", + "\t
      16. 5.8985228607386
        17. \n", + "\t
      17. 1.05305599439712
        18. \n", + "\t
      18. 3.14909228442564
        19. \n", + "\t
      19. 4.49945790995084
        20. \n", + "\t
      20. 1.22206644509033
        21. \n", + "\t
      21. 6.48326569444055
        22. \n", + "\t
      22. 2.45314714212483
        23. \n", + "\t
      23. 1.98785862098354
        24. \n", + "\t
      24. 4.23356422123417
        25. \n", + "\t
      25. 4.45604734817541
        26. \n", + "\t
      26. 0.983479120992655
        27. \n", + "\t
      27. 2.58786382837564
        28. \n", + "\t
      28. 4.42703597466531
        29. \n", + "\t
      29. 3.48456041869744
        30. \n", + "\t
      30. 2.5076792895624
        31. \n", + "\t
      31. 7.83552896517296
        32. \n", + "\t
      32. 1.55812219656059
        33. \n", + "\t
      33. 0.588199534295027
        34. \n", + "\t
      34. 3.50248239780345
        35. \n", + "\t
      35. 5.25809153633905
        36. \n", + "\t
      36. 2.89348241609377
        37. \n", + "\t
      37. 2.69543608627295
        38. \n", + "\t
      38. 3.94408378461344
        39. \n", + "\t
      39. 3.28934241148518
        40. \n", + "\t
      40. 1.55488451267829
        41. \n", + "\t
      41. 3.59745425306248
        42. \n", + "\t
      42. 2.06964093689501
        43. \n", + "\t
      43. 4.21071536983812
        44. \n", + "\t
      44. 6.75524545271811
        45. \n", + "\t
      45. 1.97679892907866
        46. \n", + "\t
      46. 2.148182599319
        47. \n", + "\t
      47. 5.34310073951735
        48. \n", + "\t
      48. 3.06542409849661
        49. \n", + "\t
      49. 2.92934334216028
        50. \n", + "\t
      50. 5.58717256415295
        51. \n", + "\t
      51. 1.80917114638448
        52. \n", + "\t
      52. 4.40621760707779
        53. \n", + "\t
      53. 1.5649238192374
        54. \n", + "\t
      54. 1.35020482819035
        55. \n", + "\t
      55. 3.17291587040313
        56. \n", + "\t
      56. 4.05846512067523
        57. \n", + "\t
      57. 4.09533194273965
        58. \n", + "\t
      58. 1.35298221852601
        59. \n", + "\t
      59. 5.81117791366298
        60. \n", + "\t
      60. 0.780887251276745
        61. \n", + "\t
      61. 3.12073688891378
        62. \n", + "\t
      62. 1.86498546553995
        63. \n", + "\t
      63. 2.72619367197935
        64. \n", + "\t
      64. 1.81589676019419
        65. \n", + "\t
      65. 2.60358640547442
        66. \n", + "\t
      66. 0.758883145773709
        67. \n", + "\t
      67. 0.432551760152943
        68. \n", + "\t
      68. 1.35088134462723
        69. \n", + "\t
      69. 2.50910906945627
        70. \n", + "\t
      70. 1.51177855380457
        71. \n", + "\t
      71. 3.85664934216086
        72. \n", + "\t
      72. 3.53880766304171
        73. \n", + "\t
      73. 2.86444836489366
        74. \n", + "\t
      74. 6.13675933388114
        75. \n", + "\t
      75. 4.47424294313739
        76. \n", + "\t
      76. 3.0536636416894
        77. \n", + "\t
      77. 5.32027519693865
        78. \n", + "\t
      78. 4.63281609970422
        79. \n", + "\t
      79. 1.94123057605952
        80. \n", + "\t
      80. 1.0008787382441
        81. \n", + "\t
      81. 2.44015957607192
        82. \n", + "\t
      82. 3.76883518088843
        83. \n", + "\t
      83. 7.17582228781898
        84. \n", + "\t
      84. 3.71405653598009
        85. \n", + "\t
      85. 3.86379354731767
        86. \n", + "\t
      86. 7.67513071315857
        87. \n", + "\t
      87. 2.41454741112282
        88. \n", + "\t
      88. 5.88231587919138
        89. \n", + "\t
      89. 3.38741110863713
        90. \n", + "\t
      90. 1.83607179576828
        91. \n", + "\t
      91. 1.94782889660417
        92. \n", + "\t
      92. 3.85926692049739
        93. \n", + "\t
      93. 7.62482894854196
        94. \n", + "\t
      94. 1.42889163619989
        95. \n", + "\t
      95. 1.68365640707705
        96. \n", + "\t
      96. 1.58080545005203
        97. \n", + "\t
      97. 3.08471354978154
        98. \n", + "\t
      98. 3.3067021517757
        99. \n", + "\t
      99. 3.02323372784319
        100. \n", + "\t
      100. 7.69626664557039
        101. \n", + "
      \n", + "
      24. \n", + "\t
      24. \n", + "\t
      1. 1.9083710147228
        2. \n", + "\t
      2. 2.73702498821977
        3. \n", + "\t
      3. 3.58055400076022
        4. \n", + "\t
      4. 7.17826248689185
        5. \n", + "\t
      5. 4.51922054124615
        6. \n", + "\t
      6. 0.709055894991428
        7. \n", + "\t
      7. 5.9112896182741
        8. \n", + "\t
      8. 6.12086757654851
        9. \n", + "\t
      9. 3.98282891940828
        10. \n", + "\t
      10. 1.31640187500315
        11. \n", + "\t
      11. 6.60873790420842
        12. \n", + "\t
      12. 5.37842208875147
        13. \n", + "\t
      13. 1.02022877053241
        14. \n", + "\t
      14. 3.39199922848958
        15. \n", + "\t
      15. 3.47620236904372
        16. \n", + "\t
      16. 7.68053995995997
        17. \n", + "\t
      17. 1.55131070284491
        18. \n", + "\t
      18. 1.90213652013814
        19. \n", + "\t
      19. 1.32919625759521
        20. \n", + "\t
      20. 3.28891462452784
        21. \n", + "\t
      21. 3.950968747192
        22. \n", + "\t
      22. 6.71283964160148
        23. \n", + "\t
      23. 5.55392120943899
        24. \n", + "\t
      24. 3.07790048804741
        25. \n", + "\t
      25. 2.82833789414274
        26. \n", + "\t
      26. 1.94420748673444
        27. \n", + "\t
      27. 2.52664996478632
        28. \n", + "\t
      28. 3.17137693801774
        29. \n", + "\t
      29. 2.85283361527396
        30. \n", + "\t
      30. 4.92990542669925
        31. \n", + "\t
      31. 1.72153375029464
        32. \n", + "\t
      32. 3.30383683218632
        33. \n", + "\t
      33. 1.14699420285985
        34. \n", + "\t
      34. 2.00481989172855
        35. \n", + "\t
      35. 1.00320014328692
        36. \n", + "\t
      36. 4.76706169064329
        37. \n", + "\t
      37. 1.17853265571868
        38. \n", + "\t
      38. 5.12985538451285
        39. \n", + "\t
      39. 2.37704184795786
        40. \n", + "\t
      40. 1.54240250235685
        41. \n", + "\t
      41. 7.89351459540784
        42. \n", + "\t
      42. 6.12857978472824
        43. \n", + "\t
      43. 6.55669340814894
        44. \n", + "\t
      44. 7.36310261987807
        45. \n", + "\t
      45. 4.32662220651049
        46. \n", + "\t
      46. 1.36644551708609
        47. \n", + "\t
      47. 3.93424360931163
        48. \n", + "\t
      48. 4.45117887958274
        49. \n", + "\t
      49. 5.37330540828858
        50. \n", + "\t
      50. 5.51402028806821
        51. \n", + "\t
      51. 3.86341414113175
        52. \n", + "\t
      52. 4.17498016154051
        53. \n", + "\t
      53. 2.76375087195311
        54. \n", + "\t
      54. 3.0169784449138
        55. \n", + "\t
      55. 5.8947328427423
        56. \n", + "\t
      56. 5.50905451144381
        57. \n", + "\t
      57. 3.45424101202517
        58. \n", + "\t
      58. 1.43450647376255
        59. \n", + "\t
      59. 5.39289401146909
        60. \n", + "\t
      60. 2.86879070340326
        61. \n", + "\t
      61. 9.0953591839713
        62. \n", + "\t
      62. 4.20876999257604
        63. \n", + "\t
      63. 3.12188177434095
        64. \n", + "\t
      64. 5.91725706227346
        65. \n", + "\t
      65. 5.69085551164582
        66. \n", + "\t
      66. 1.20934498371876
        67. \n", + "\t
      67. 2.70391281088559
        68. \n", + "\t
      68. 4.80276433029847
        69. \n", + "\t
      69. 2.21328742956427
        70. \n", + "\t
      70. 2.18357014123119
        71. \n", + "\t
      71. 3.25271799231874
        72. \n", + "\t
      72. 5.44489000466271
        73. \n", + "\t
      73. 2.24730820598351
        74. \n", + "\t
      74. 4.68669944130006
        75. \n", + "\t
      75. 5.56430090802588
        76. \n", + "\t
      76. 1.69912257113453
        77. \n", + "\t
      77. 0.633798570935275
        78. \n", + "\t
      78. 2.60843407154694
        79. \n", + "\t
      79. 6.07175778312363
        80. \n", + "\t
      80. 1.80090624853638
        81. \n", + "\t
      81. 5.3469239356699
        82. \n", + "\t
      82. 4.65199780197643
        83. \n", + "\t
      83. 4.53013389346409
        84. \n", + "\t
      84. 5.54650872402747
        85. \n", + "\t
      85. 6.53905735034118
        86. \n", + "\t
      86. 1.21025352600721
        87. \n", + "\t
      87. 6.53357430494305
        88. \n", + "\t
      88. 4.52094897352248
        89. \n", + "\t
      89. 3.75594007179109
        90. \n", + "\t
      90. 5.95545358190729
        91. \n", + "\t
      91. 2.4054607401054
        92. \n", + "\t
      92. 3.08492012190925
        93. \n", + "\t
      93. 5.98068059228989
        94. \n", + "\t
      94. 3.09123314218258
        95. \n", + "\t
      95. 5.05962413836402
        96. \n", + "\t
      96. 8.66974849866829
        97. \n", + "\t
      97. 5.99991282447159
        98. \n", + "\t
      98. 4.7168993916495
        99. \n", + "\t
      99. 6.55842387548743
        100. \n", + "\t
      100. 6.79892831010638
        101. \n", + "
      \n", + "
      25. \n", + "\t
      25. \n", + "\t
      1. 7.19883713635242
        2. \n", + "\t
      2. 2.23160917572492
        3. \n", + "\t
      3. 2.77578409765547
        4. \n", + "\t
      4. 4.83474170587358
        5. \n", + "\t
      5. 6.94420964224872
        6. \n", + "\t
      6. 5.48203310728248
        7. \n", + "\t
      7. 4.21942154914008
        8. \n", + "\t
      8. 6.0229742277487
        9. \n", + "\t
      9. 7.07157754287358
        10. \n", + "\t
      10. 1.77343154283059
        11. \n", + "\t
      11. 3.50715083321606
        12. \n", + "\t
      12. 2.07391313198933
        13. \n", + "\t
      13. 2.82040758920655
        14. \n", + "\t
      14. 7.46781532228021
        15. \n", + "\t
      15. 7.71379543205664
        16. \n", + "\t
      16. 2.45028588357838
        17. \n", + "\t
      17. 5.62484137082455
        18. \n", + "\t
      18. 1.95105689770206
        19. \n", + "\t
      19. 3.92475299491227
        20. \n", + "\t
      20. 6.74237681005232
        21. \n", + "\t
      21. 2.55434128515114
        22. \n", + "\t
      22. 1.18432938833526
        23. \n", + "\t
      23. 5.61097115220819
        24. \n", + "\t
      24. 3.68652891791432
        25. \n", + "\t
      25. 11.0840783567612
        26. \n", + "\t
      26. 4.99797677150499
        27. \n", + "\t
      27. 5.21814444723457
        28. \n", + "\t
      28. 6.23583324106685
        29. \n", + "\t
      29. 5.27130431055053
        30. \n", + "\t
      30. 6.96103939290087
        31. \n", + "\t
      31. 10.5888716400625
        32. \n", + "\t
      32. 6.21191523202077
        33. \n", + "\t
      33. 12.680158801013
        34. \n", + "\t
      34. 7.48125544249683
        35. \n", + "\t
      35. 2.85729814038886
        36. \n", + "\t
      36. 6.77951970378092
        37. \n", + "\t
      37. 5.35925242543582
        38. \n", + "\t
      38. 4.93832082414308
        39. \n", + "\t
      39. 4.7983015213242
        40. \n", + "\t
      40. 6.9255327656034
        41. \n", + "\t
      41. 8.20985082306767
        42. \n", + "\t
      42. 4.69241723208167
        43. \n", + "\t
      43. 6.19049161651871
        44. \n", + "\t
      44. 4.87474342714373
        45. \n", + "\t
      45. 6.90074972932732
        46. \n", + "\t
      46. 8.16840747104633
        47. \n", + "\t
      47. 6.88292048398721
        48. \n", + "\t
      48. 6.90813962157959
        49. \n", + "\t
      49. 3.85262270134608
        50. \n", + "\t
      50. 3.65271384450755
        51. \n", + "\t
      51. 6.11042635412955
        52. \n", + "\t
      52. 3.64743965617894
        53. \n", + "\t
      53. 6.07156043948616
        54. \n", + "\t
      54. 7.78020174282556
        55. \n", + "\t
      55. 5.16756633084993
        56. \n", + "\t
      56. 2.46526290637562
        57. \n", + "\t
      57. 10.0887015631309
        58. \n", + "\t
      58. 4.91647047777965
        59. \n", + "\t
      59. 4.13023216195937
        60. \n", + "\t
      60. 6.65924697856317
        61. \n", + "\t
      61. 3.3440381328863
        62. \n", + "\t
      62. 5.20149436766885
        63. \n", + "\t
      63. 6.60341054018056
        64. \n", + "\t
      64. 5.86056720808025
        65. \n", + "\t
      65. 4.71292490471785
        66. \n", + "\t
      66. 5.21187886194507
        67. \n", + "\t
      67. 6.27010015516936
        68. \n", + "\t
      68. 7.81660361646741
        69. \n", + "\t
      69. 3.30439096118935
        70. \n", + "\t
      70. 4.6955974278413
        71. \n", + "\t
      71. 0.675380896501148
        72. \n", + "\t
      72. 1.87456179823883
        73. \n", + "\t
      73. 3.9376412298112
        74. \n", + "\t
      74. 5.97024495129472
        75. \n", + "\t
      75. 2.95738279080716
        76. \n", + "\t
      76. 5.68780824208237
        77. \n", + "\t
      77. 2.91105758818812
        78. \n", + "\t
      78. 6.75363240550639
        79. \n", + "\t
      79. 7.44550050430656
        80. \n", + "\t
      80. 5.20443748556673
        81. \n", + "\t
      81. 5.09724143431396
        82. \n", + "\t
      82. 0.823512816122794
        83. \n", + "\t
      83. 5.73764165722466
        84. \n", + "\t
      84. 4.70355176226342
        85. \n", + "\t
      85. 2.23795976094898
        86. \n", + "\t
      86. 8.87864050462024
        87. \n", + "\t
      87. 4.45889577999623
        88. \n", + "\t
      88. 2.60677467468926
        89. \n", + "\t
      89. 6.02489495444096
        90. \n", + "\t
      90. 3.58529000027129
        91. \n", + "\t
      91. 0.749129760466896
        92. \n", + "\t
      92. 3.93932178813605
        93. \n", + "\t
      93. 6.98430994446503
        94. \n", + "\t
      94. 5.22574723937736
        95. \n", + "\t
      95. 4.88831217302942
        96. \n", + "\t
      96. 6.50425884158328
        97. \n", + "\t
      97. 6.17042620249535
        98. \n", + "\t
      98. 5.9466393116617
        99. \n", + "\t
      99. 6.4237776184202
        100. \n", + "\t
      100. 5.7424014185065
        101. \n", + "
      \n", + "
      26. \n", + "\t
      26. \n", + "\t
      1. 6.8181135328349
        2. \n", + "\t
      2. 0.599447025862405
        3. \n", + "\t
      3. 2.02724714668589
        4. \n", + "\t
      4. 4.64652537235674
        5. \n", + "\t
      5. 2.39104366114642
        6. \n", + "\t
      6. 1.42784841300165
        7. \n", + "\t
      7. 7.75892633445186
        8. \n", + "\t
      8. 9.57059078448963
        9. \n", + "\t
      9. 4.26422533168048
        10. \n", + "\t
      10. 2.8481446877884
        11. \n", + "\t
      11. 9.96882537107319
        12. \n", + "\t
      12. 5.86750365952473
        13. \n", + "\t
      13. 1.68394522647694
        14. \n", + "\t
      14. 6.37400145094986
        15. \n", + "\t
      15. 2.93156555482752
        16. \n", + "\t
      16. 9.116889958773
        17. \n", + "\t
      17. 8.34272379697601
        18. \n", + "\t
      18. 7.73477060510026
        19. \n", + "\t
      19. 5.89819144323078
        20. \n", + "\t
      20. 4.49993342597769
        21. \n", + "\t
      21. 2.73701427983934
        22. \n", + "\t
      22. 5.41474773524301
        23. \n", + "\t
      23. 4.18645653179757
        24. \n", + "\t
      24. 1.40831501404066
        25. \n", + "\t
      25. 6.71376245142475
        26. \n", + "\t
      26. 7.0247770428879
        27. \n", + "\t
      27. 6.67500117402476
        28. \n", + "\t
      28. 5.06020860458108
        29. \n", + "\t
      29. 4.18295155339672
        30. \n", + "\t
      30. 7.70364516025325
        31. \n", + "\t
      31. 9.22456744846766
        32. \n", + "\t
      32. 2.25507409783915
        33. \n", + "\t
      33. 1.07751421216755
        34. \n", + "\t
      34. 2.02605001512613
        35. \n", + "\t
      35. 1.74064877587838
        36. \n", + "\t
      36. 7.59653428593958
        37. \n", + "\t
      37. 6.41577221746165
        38. \n", + "\t
      38. 2.39043408378483
        39. \n", + "\t
      39. 3.82064296644329
        40. \n", + "\t
      40. 1.81414922042916
        41. \n", + "\t
      41. 5.55359826818387
        42. \n", + "\t
      42. 3.63620306974963
        43. \n", + "\t
      43. 2.09764319190662
        44. \n", + "\t
      44. 6.15909055199962
        45. \n", + "\t
      45. 3.13093270598125
        46. \n", + "\t
      46. 3.82546386783375
        47. \n", + "\t
      47. 4.90767527315398
        48. \n", + "\t
      48. 2.31931072120912
        49. \n", + "\t
      49. 4.35812655530916
        50. \n", + "\t
      50. 2.67713791931084
        51. \n", + "\t
      51. 4.83361048137949
        52. \n", + "\t
      52. 1.79120353765539
        53. \n", + "\t
      53. 2.46715667464015
        54. \n", + "\t
      54. 2.1220135597847
        55. \n", + "\t
      55. 6.07841432214723
        56. \n", + "\t
      56. 3.58915030158796
        57. \n", + "\t
      57. 6.81931861257266
        58. \n", + "\t
      58. 2.90278236419624
        59. \n", + "\t
      59. 3.16858962275433
        60. \n", + "\t
      60. 4.04509224276524
        61. \n", + "\t
      61. 5.20064452468261
        62. \n", + "\t
      62. 4.92531242553217
        63. \n", + "\t
      63. 4.51491772635426
        64. \n", + "\t
      64. 2.05617945409153
        65. \n", + "\t
      65. 4.36332594616332
        66. \n", + "\t
      66. 2.01610330755073
        67. \n", + "\t
      67. 6.12341903458261
        68. \n", + "\t
      68. 5.50993891542999
        69. \n", + "\t
      69. 6.71883376747058
        70. \n", + "\t
      70. 9.03267029534923
        71. \n", + "\t
      71. 2.55894813093934
        72. \n", + "\t
      72. 5.06086139571552
        73. \n", + "\t
      73. 5.61059019165573
        74. \n", + "\t
      74. 2.88753177180559
        75. \n", + "\t
      75. 2.3106482306657
        76. \n", + "\t
      76. 1.1156997848091
        77. \n", + "\t
      77. 4.1751726625053
        78. \n", + "\t
      78. 7.50361890123337
        79. \n", + "\t
      79. 4.24048488012155
        80. \n", + "\t
      80. 1.49057988660367
        81. \n", + "\t
      81. 4.20472006351786
        82. \n", + "\t
      82. 5.43841594389608
        83. \n", + "\t
      83. 4.34592423793983
        84. \n", + "\t
      84. 7.44768963054582
        85. \n", + "\t
      85. 3.51475623001232
        86. \n", + "\t
      86. 2.65073630850286
        87. \n", + "\t
      87. 2.83618912582246
        88. \n", + "\t
      88. 7.65004224576175
        89. \n", + "\t
      89. 5.56464320925923
        90. \n", + "\t
      90. 3.28239781275252
        91. \n", + "\t
      91. 3.63372206386983
        92. \n", + "\t
      92. 3.0710756840985
        93. \n", + "\t
      93. 7.95021019082563
        94. \n", + "\t
      94. 8.88494506196684
        95. \n", + "\t
      95. 6.56831400056357
        96. \n", + "\t
      96. 1.35307282453719
        97. \n", + "\t
      97. 4.66938330739325
        98. \n", + "\t
      98. 5.86907283470642
        99. \n", + "\t
      99. 5.37567369645952
        100. \n", + "\t
      100. 8.01804666918122
        101. \n", + "
      \n", + "
      27. \n", + "\t
      27. \n", + "\t
      1. 1.46310058216524
        2. \n", + "\t
      2. 2.86022218385711
        3. \n", + "\t
      3. 1.3009135595411
        4. \n", + "\t
      4. 4.09875638487247
        5. \n", + "\t
      5. 6.08558248052397
        6. \n", + "\t
      6. 9.30173876934994
        7. \n", + "\t
      7. 2.71029972562827
        8. \n", + "\t
      8. 2.64934629312197
        9. \n", + "\t
      9. 3.73130294678399
        10. \n", + "\t
      10. 4.80712386201323
        11. \n", + "\t
      11. 7.98710783735704
        12. \n", + "\t
      12. 7.1875424503882
        13. \n", + "\t
      13. 2.40405699021114
        14. \n", + "\t
      14. 4.75330588155319
        15. \n", + "\t
      15. 7.24265459180155
        16. \n", + "\t
      16. 4.53971083042922
        17. \n", + "\t
      17. 3.39787016381178
        18. \n", + "\t
      18. 2.17510590691325
        19. \n", + "\t
      19. 3.82476933963144
        20. \n", + "\t
      20. 4.38739736722219
        21. \n", + "\t
      21. 5.93834853373491
        22. \n", + "\t
      22. 7.78046188820784
        23. \n", + "\t
      23. 6.46737280754567
        24. \n", + "\t
      24. 8.23981286523033
        25. \n", + "\t
      25. 1.0283984311383
        26. \n", + "\t
      26. 1.44975083674323
        27. \n", + "\t
      27. 2.06045186528873
        28. \n", + "\t
      28. 4.6340668682703
        29. \n", + "\t
      29. 4.57825845347488
        30. \n", + "\t
      30. 4.07007776586236
        31. \n", + "\t
      31. 4.63268404158456
        32. \n", + "\t
      32. 3.41681952435054
        33. \n", + "\t
      33. 2.56392677127545
        34. \n", + "\t
      34. 3.92784468560447
        35. \n", + "\t
      35. 5.82997094097423
        36. \n", + "\t
      36. 5.2073225708705
        37. \n", + "\t
      37. 5.07602207200034
        38. \n", + "\t
      38. 3.98935945192803
        39. \n", + "\t
      39. 6.07536864722829
        40. \n", + "\t
      40. 8.11958345371618
        41. \n", + "\t
      41. 1.61224420380254
        42. \n", + "\t
      42. 3.18283926537063
        43. \n", + "\t
      43. 7.9052012129807
        44. \n", + "\t
      44. 1.05989155275972
        45. \n", + "\t
      45. 5.44092499011601
        46. \n", + "\t
      46. 4.15988268690711
        47. \n", + "\t
      47. 1.35789583472492
        48. \n", + "\t
      48. 1.27648150828073
        49. \n", + "\t
      49. 1.63143145593274
        50. \n", + "\t
      50. 4.3030045037258
        51. \n", + "\t
      51. 6.60136805143209
        52. \n", + "\t
      52. 7.58590248798881
        53. \n", + "\t
      53. 4.95662253233082
        54. \n", + "\t
      54. 6.58939884358995
        55. \n", + "\t
      55. 1.06429800945341
        56. \n", + "\t
      56. 7.03382859138555
        57. \n", + "\t
      57. 7.14432499337881
        58. \n", + "\t
      58. 8.23479314386192
        59. \n", + "\t
      59. 3.44707550616757
        60. \n", + "\t
      60. 3.78590004785117
        61. \n", + "\t
      61. 3.3222373838239
        62. \n", + "\t
      62. 8.83422741540236
        63. \n", + "\t
      63. 5.62399941151989
        64. \n", + "\t
      64. 6.37245885585549
        65. \n", + "\t
      65. 7.33375986037099
        66. \n", + "\t
      66. 7.98871705955275
        67. \n", + "\t
      67. 3.73897547660158
        68. \n", + "\t
      68. 5.17295217065997
        69. \n", + "\t
      69. 4.48021045462924
        70. \n", + "\t
      70. 6.82371226371277
        71. \n", + "\t
      71. 4.54116890408709
        72. \n", + "\t
      72. 3.465207291075
        73. \n", + "\t
      73. 1.43890238483561
        74. \n", + "\t
      74. 5.37896759673892
        75. \n", + "\t
      75. 10.0152124526993
        76. \n", + "\t
      76. 3.72405954618661
        77. \n", + "\t
      77. 8.03543332177993
        78. \n", + "\t
      78. 8.38769685982393
        79. \n", + "\t
      79. 6.19731676744166
        80. \n", + "\t
      80. 4.17180050606941
        81. \n", + "\t
      81. 5.4886400044317
        82. \n", + "\t
      82. 4.63332004722092
        83. \n", + "\t
      83. 2.3090388292845
        84. \n", + "\t
      84. 6.34105490097068
        85. \n", + "\t
      85. 5.94855197702479
        86. \n", + "\t
      86. 7.07020293122206
        87. \n", + "\t
      87. 2.78580749110857
        88. \n", + "\t
      88. 7.54992470923855
        89. \n", + "\t
      89. 7.00416337671845
        90. \n", + "\t
      90. 4.32437487138433
        91. \n", + "\t
      91. 6.16655790313069
        92. \n", + "\t
      92. 8.22242543899247
        93. \n", + "\t
      93. 5.34485851339475
        94. \n", + "\t
      94. 7.04919065655634
        95. \n", + "\t
      95. 5.68404167174004
        96. \n", + "\t
      96. 7.24553883824564
        97. \n", + "\t
      97. 1.69742192839798
        98. \n", + "\t
      98. 8.53502098148406
        99. \n", + "\t
      99. 4.66884402446126
        100. \n", + "\t
      100. 3.95511693446582
        101. \n", + "
      \n", + "
      28. \n", + "\t
      28. \n", + "\t
      1. 3.7363143954868
        2. \n", + "\t
      2. 7.97107674957998
        3. \n", + "\t
      3. 5.15257358372163
        4. \n", + "\t
      4. 5.63116102896095
        5. \n", + "\t
      5. 7.50409957177749
        6. \n", + "\t
      6. 1.83213998246193
        7. \n", + "\t
      7. 4.40435629056393
        8. \n", + "\t
      8. 7.25793853378286
        9. \n", + "\t
      9. 2.81972468008538
        10. \n", + "\t
      10. 6.59957918955191
        11. \n", + "\t
      11. 2.39513576365287
        12. \n", + "\t
      12. 1.77695747077261
        13. \n", + "\t
      13. 5.3508842914468
        14. \n", + "\t
      14. 6.62724176199913
        15. \n", + "\t
      15. 3.43982544661054
        16. \n", + "\t
      16. 5.33776266583557
        17. \n", + "\t
      17. 6.80733034587167
        18. \n", + "\t
      18. 6.46827627201454
        19. \n", + "\t
      19. 4.49620537224271
        20. \n", + "\t
      20. 8.17594694305355
        21. \n", + "\t
      21. 4.94725157396657
        22. \n", + "\t
      22. 2.90898186732826
        23. \n", + "\t
      23. 7.58984964467443
        24. \n", + "\t
      24. 9.23822313081367
        25. \n", + "\t
      25. 7.1461993706877
        26. \n", + "\t
      26. 2.52171527654
        27. \n", + "\t
      27. 6.84589099455287
        28. \n", + "\t
      28. 6.4192411877607
        29. \n", + "\t
      29. 7.94322082170006
        30. \n", + "\t
      30. 4.27425955847369
        31. \n", + "\t
      31. 3.43383864165851
        32. \n", + "\t
      32. 6.5259066555707
        33. \n", + "\t
      33. 6.62337135170264
        34. \n", + "\t
      34. 8.6379304530521
        35. \n", + "\t
      35. 8.10233560697275
        36. \n", + "\t
      36. 5.42604342414676
        37. \n", + "\t
      37. 9.15327214945623
        38. \n", + "\t
      38. 6.47912521108015
        39. \n", + "\t
      39. 1.99878263266564
        40. \n", + "\t
      40. 1.95573327336551
        41. \n", + "\t
      41. 6.48026150582018
        42. \n", + "\t
      42. 8.74907756621742
        43. \n", + "\t
      43. 8.50538778109235
        44. \n", + "\t
      44. 3.70879378315044
        45. \n", + "\t
      45. 3.08364968072355
        46. \n", + "\t
      46. 6.31124241317451
        47. \n", + "\t
      47. 2.71481150522669
        48. \n", + "\t
      48. 6.5713110791879
        49. \n", + "\t
      49. 4.84381754484278
        50. \n", + "\t
      50. 4.08849662449709
        51. \n", + "\t
      51. 2.70885305198041
        52. \n", + "\t
      52. 8.19381897141003
        53. \n", + "\t
      53. 8.21958620973791
        54. \n", + "\t
      54. 6.90980009754636
        55. \n", + "\t
      55. 3.48582729138755
        56. \n", + "\t
      56. 11.0810474031697
        57. \n", + "\t
      57. 5.08891910932744
        58. \n", + "\t
      58. 5.88417372842211
        59. \n", + "\t
      59. 7.48989523210341
        60. \n", + "\t
      60. 5.43242730509884
        61. \n", + "\t
      61. 5.1174013033423
        62. \n", + "\t
      62. 4.252497890468
        63. \n", + "\t
      63. 3.06169968696257
        64. \n", + "\t
      64. 4.50536447304479
        65. \n", + "\t
      65. 5.28544380765808
        66. \n", + "\t
      66. 9.05563560612052
        67. \n", + "\t
      67. 6.6758125858973
        68. \n", + "\t
      68. 3.66762305354134
        69. \n", + "\t
      69. 4.08379635573314
        70. \n", + "\t
      70. 5.17965290839755
        71. \n", + "\t
      71. 5.05326109749298
        72. \n", + "\t
      72. 6.26041352213722
        73. \n", + "\t
      73. 8.79898332554671
        74. \n", + "\t
      74. 5.77816870595164
        75. \n", + "\t
      75. 5.83118684696078
        76. \n", + "\t
      76. 6.81471137122467
        77. \n", + "\t
      77. 3.70357275956797
        78. \n", + "\t
      78. 4.608605529441
        79. \n", + "\t
      79. 8.11724734027443
        80. \n", + "\t
      80. 5.57040058039571
        81. \n", + "\t
      81. 5.67042141363465
        82. \n", + "\t
      82. 6.09871327293125
        83. \n", + "\t
      83. 6.51338181326212
        84. \n", + "\t
      84. 5.17665742267174
        85. \n", + "\t
      85. 4.20944267385126
        86. \n", + "\t
      86. 8.76848045277575
        87. \n", + "\t
      87. 8.14873458266026
        88. \n", + "\t
      88. 8.00378098817048
        89. \n", + "\t
      89. 6.82441542471926
        90. \n", + "\t
      90. 4.76709602714383
        91. \n", + "\t
      91. 2.24097117271097
        92. \n", + "\t
      92. 3.05423806489674
        93. \n", + "\t
      93. 2.98942906456584
        94. \n", + "\t
      94. 6.46709365400559
        95. \n", + "\t
      95. 5.69936146854564
        96. \n", + "\t
      96. 8.94227024764924
        97. \n", + "\t
      97. 9.34399480689065
        98. \n", + "\t
      98. 9.62083641807913
        99. \n", + "\t
      99. 1.97149111450797
        100. \n", + "\t
      100. 8.77959951213558
        101. \n", + "
      \n", + "
      29. \n", + "\t
      29. \n", + "\t
      1. 4.44573759997412
        2. \n", + "\t
      2. 5.40702256854832
        3. \n", + "\t
      3. 1.47626013080473
        4. \n", + "\t
      4. 5.63331360271463
        5. \n", + "\t
      5. 4.39657788966882
        6. \n", + "\t
      6. 4.29704145779677
        7. \n", + "\t
      7. 7.23408312513799
        8. \n", + "\t
      8. 1.52859518461238
        9. \n", + "\t
      9. 4.98895747584276
        10. \n", + "\t
      10. 4.81765900701022
        11. \n", + "\t
      11. 3.84473348041043
        12. \n", + "\t
      12. 3.56940423456483
        13. \n", + "\t
      13. 6.38889757963418
        14. \n", + "\t
      14. 2.34632728732772
        15. \n", + "\t
      15. 4.22108418131488
        16. \n", + "\t
      16. 0.901532322679313
        17. \n", + "\t
      17. 6.37638119630144
        18. \n", + "\t
      18. 5.31815257631018
        19. \n", + "\t
      19. 5.25843520055229
        20. \n", + "\t
      20. 4.74804050083517
        21. \n", + "\t
      21. 8.77362302992707
        22. \n", + "\t
      22. 5.30981087604715
        23. \n", + "\t
      23. 4.14883688571683
        24. \n", + "\t
      24. 6.28422416399458
        25. \n", + "\t
      25. 4.6257156158178
        26. \n", + "\t
      26. 2.79305797215
        27. \n", + "\t
      27. 4.16865064097103
        28. \n", + "\t
      28. 4.21778587241641
        29. \n", + "\t
      29. 4.99337696568919
        30. \n", + "\t
      30. 7.44398810214784
        31. \n", + "\t
      31. 3.48287375766818
        32. \n", + "\t
      32. 2.31442987000856
        33. \n", + "\t
      33. 5.72401404295532
        34. \n", + "\t
      34. 7.20080332317263
        35. \n", + "\t
      35. 2.26360794649956
        36. \n", + "\t
      36. 5.83273701662213
        37. \n", + "\t
      37. 4.46474300126244
        38. \n", + "\t
      38. 4.45414949242787
        39. \n", + "\t
      39. 6.49847527270632
        40. \n", + "\t
      40. 1.37323059297615
        41. \n", + "\t
      41. 1.71770629783264
        42. \n", + "\t
      42. 3.87578197254796
        43. \n", + "\t
      43. 1.98650506250663
        44. \n", + "\t
      44. 2.25834300507938
        45. \n", + "\t
      45. 6.83016707127591
        46. \n", + "\t
      46. 3.7243355991102
        47. \n", + "\t
      47. 5.93692637361742
        48. \n", + "\t
      48. 5.85788974430739
        49. \n", + "\t
      49. 4.85477175443799
        50. \n", + "\t
      50. 3.96904475358644
        51. \n", + "\t
      51. 5.27620436030666
        52. \n", + "\t
      52. 3.67012835196727
        53. \n", + "\t
      53. 4.93439945872826
        54. \n", + "\t
      54. 1.43443922207948
        55. \n", + "\t
      55. 4.48883249176468
        56. \n", + "\t
      56. 2.35032317750589
        57. \n", + "\t
      57. 6.42889879145277
        58. \n", + "\t
      58. 6.17231944384909
        59. \n", + "\t
      59. 3.48881994051896
        60. \n", + "\t
      60. 5.89614920282237
        61. \n", + "\t
      61. 5.93189678948328
        62. \n", + "\t
      62. 4.56158831743765
        63. \n", + "\t
      63. 4.22968670076663
        64. \n", + "\t
      64. 3.21654834896943
        65. \n", + "\t
      65. 6.85376228082689
        66. \n", + "\t
      66. 4.0860940217977
        67. \n", + "\t
      67. 3.21891782869067
        68. \n", + "\t
      68. 1.83995391058189
        69. \n", + "\t
      69. 5.01978931685563
        70. \n", + "\t
      70. 3.72342214596501
        71. \n", + "\t
      71. 2.15579593663843
        72. \n", + "\t
      72. 4.61793858779678
        73. \n", + "\t
      73. 5.4736971582834
        74. \n", + "\t
      74. 7.79243125828052
        75. \n", + "\t
      75. 5.27894628108995
        76. \n", + "\t
      76. 7.14274035392987
        77. \n", + "\t
      77. 6.5637644849266
        78. \n", + "\t
      78. 5.58383967275682
        79. \n", + "\t
      79. 1.97224524578651
        80. \n", + "\t
      80. 2.17284859773381
        81. \n", + "\t
      81. 2.16376780038621
        82. \n", + "\t
      82. 4.32762415279855
        83. \n", + "\t
      83. 8.93922907069382
        84. \n", + "\t
      84. 1.91350262492198
        85. \n", + "\t
      85. 3.42916422807471
        86. \n", + "\t
      86. 2.53198459451211
        87. \n", + "\t
      87. 0.638525147606676
        88. \n", + "\t
      88. 2.75949472748885
        89. \n", + "\t
      89. 8.61447487063202
        90. \n", + "\t
      90. 4.50018546998246
        91. \n", + "\t
      91. 5.55000229619083
        92. \n", + "\t
      92. 2.33778729222801
        93. \n", + "\t
      93. 6.17869678196718
        94. \n", + "\t
      94. 5.10932386938843
        95. \n", + "\t
      95. 4.502474936825
        96. \n", + "\t
      96. 5.91197335844616
        97. \n", + "\t
      97. 7.1431111722072
        98. \n", + "\t
      98. 1.91204885135727
        99. \n", + "\t
      99. 3.9393414961852
        100. \n", + "\t
      100. 6.49385895659825
        101. \n", + "
      \n", + "
      30. \n", + "\t
      30. \n", + "\t
      1. 2.14342701661529
        2. \n", + "\t
      2. 6.3970497327381
        3. \n", + "\t
      3. 9.55173056890579
        4. \n", + "\t
      4. 4.41518242479185
        5. \n", + "\t
      5. 2.17208784250829
        6. \n", + "\t
      6. 1.15768771923897
        7. \n", + "\t
      7. 2.37750456389177
        8. \n", + "\t
      8. 4.21865672701338
        9. \n", + "\t
      9. 5.22429575501391
        10. \n", + "\t
      10. 1.4606771519445
        11. \n", + "\t
      11. 11.6949314613333
        12. \n", + "\t
      12. 3.4436256721707
        13. \n", + "\t
      13. 6.90587437024412
        14. \n", + "\t
      14. 2.64194127390682
        15. \n", + "\t
      15. 6.91903029412973
        16. \n", + "\t
      16. 1.61403793494409
        17. \n", + "\t
      17. 4.34116350714756
        18. \n", + "\t
      18. 2.44564879958173
        19. \n", + "\t
      19. 7.48899789029216
        20. \n", + "\t
      20. 7.53200992407977
        21. \n", + "\t
      21. 6.39438914668425
        22. \n", + "\t
      22. 1.64716388577432
        23. \n", + "\t
      23. 4.82617496795041
        24. \n", + "\t
      24. 1.8770811053107
        25. \n", + "\t
      25. 1.44714894904585
        26. \n", + "\t
      26. 6.31659198924571
        27. \n", + "\t
      27. 4.88638198107492
        28. \n", + "\t
      28. 8.37519128876231
        29. \n", + "\t
      29. 8.05859525979045
        30. \n", + "\t
      30. 5.89407976964424
        31. \n", + "\t
      31. 7.9375229397696
        32. \n", + "\t
      32. 6.44523373249024
        33. \n", + "\t
      33. 8.28808890102814
        34. \n", + "\t
      34. 13.1849407809757
        35. \n", + "\t
      35. 3.93187667441698
        36. \n", + "\t
      36. 2.05238814946508
        37. \n", + "\t
      37. 5.14317953593433
        38. \n", + "\t
      38. 1.46327916908327
        39. \n", + "\t
      39. 0.826572211236569
        40. \n", + "\t
      40. 0.618368148599459
        41. \n", + "\t
      41. 3.73250953477943
        42. \n", + "\t
      42. 2.14892434830064
        43. \n", + "\t
      43. 1.40874351072056
        44. \n", + "\t
      44. 3.75111590054954
        45. \n", + "\t
      45. 1.51593921526712
        46. \n", + "\t
      46. 0.625434103331985
        47. \n", + "\t
      47. 3.11267884855662
        48. \n", + "\t
      48. 7.29764058140757
        49. \n", + "\t
      49. 4.01105134267083
        50. \n", + "\t
      50. 6.27692339383445
        51. \n", + "\t
      51. 2.01343394080398
        52. \n", + "\t
      52. 5.53439481830898
        53. \n", + "\t
      53. 2.94726427409392
        54. \n", + "\t
      54. 2.37395658106814
        55. \n", + "\t
      55. 5.11400146634826
        56. \n", + "\t
      56. 3.6827471135617
        57. \n", + "\t
      57. 6.60563725894374
        58. \n", + "\t
      58. 5.11776739226376
        59. \n", + "\t
      59. 4.99925209070633
        60. \n", + "\t
      60. 5.65779944366004
        61. \n", + "\t
      61. 2.85448175193555
        62. \n", + "\t
      62. 5.90426934856698
        63. \n", + "\t
      63. 5.44734817776023
        64. \n", + "\t
      64. 4.25330216336165
        65. \n", + "\t
      65. 4.77258198316229
        66. \n", + "\t
      66. 7.10930315065136
        67. \n", + "\t
      67. 8.33484672521262
        68. \n", + "\t
      68. 4.69155532319955
        69. \n", + "\t
      69. 7.53397053176733
        70. \n", + "\t
      70. 1.05166909995143
        71. \n", + "\t
      71. 11.3583591366271
        72. \n", + "\t
      72. 4.02324198861548
        73. \n", + "\t
      73. 1.40577147551539
        74. \n", + "\t
      74. 2.13919522049059
        75. \n", + "\t
      75. 10.685413072923
        76. \n", + "\t
      76. 1.98551492447795
        77. \n", + "\t
      77. 6.3151375128818
        78. \n", + "\t
      78. 4.11062216783545
        79. \n", + "\t
      79. 6.84946236527941
        80. \n", + "\t
      80. 3.71271612244497
        81. \n", + "\t
      81. 3.27749038033578
        82. \n", + "\t
      82. 1.50625313742469
        83. \n", + "\t
      83. 4.71662979399169
        84. \n", + "\t
      84. 6.15926292824402
        85. \n", + "\t
      85. 1.77144631793921
        86. \n", + "\t
      86. 6.85291830518135
        87. \n", + "\t
      87. 7.64658737756586
        88. \n", + "\t
      88. 4.73975747682277
        89. \n", + "\t
      89. 7.89210365476082
        90. \n", + "\t
      90. 9.7159048067218
        91. \n", + "\t
      91. 5.07934021434514
        92. \n", + "\t
      92. 1.22994295300279
        93. \n", + "\t
      93. 7.77369192840245
        94. \n", + "\t
      94. 3.15597707149204
        95. \n", + "\t
      95. 6.59413598353261
        96. \n", + "\t
      96. 7.82252716810622
        97. \n", + "\t
      97. 2.6458470248106
        98. \n", + "\t
      98. 2.12413638040179
        99. \n", + "\t
      99. 6.72228952125879
        100. \n", + "\t
      100. 5.11783388887748
        101. \n", + "
      \n", + "
      31. \n", + "\t
      31. \n", + "\t
      1. 1.66661775150594
        2. \n", + "\t
      2. 3.51290631079647
        3. \n", + "\t
      3. 1.11899805235924
        4. \n", + "\t
      4. 7.2824930755079
        5. \n", + "\t
      5. 3.82410488519548
        6. \n", + "\t
      6. 1.98303119790165
        7. \n", + "\t
      7. 7.92952864141891
        8. \n", + "\t
      8. 2.1701134461328
        9. \n", + "\t
      9. 10.3183854925972
        10. \n", + "\t
      10. 1.75661447599234
        11. \n", + "\t
      11. 3.59656742902212
        12. \n", + "\t
      12. 5.1423743875415
        13. \n", + "\t
      13. 8.69853855786342
        14. \n", + "\t
      14. 11.6309274330588
        15. \n", + "\t
      15. 1.17790333771614
        16. \n", + "\t
      16. 5.67556116512662
        17. \n", + "\t
      17. 7.93310060863642
        18. \n", + "\t
      18. 8.48655795306775
        19. \n", + "\t
      19. 0.914685051271025
        20. \n", + "\t
      20. 0.798921708563438
        21. \n", + "\t
      21. 7.03812457207887
        22. \n", + "\t
      22. 1.38678835277507
        23. \n", + "\t
      23. 3.48280976030118
        24. \n", + "\t
      24. 4.5959505926748
        25. \n", + "\t
      25. 3.96072066216807
        26. \n", + "\t
      26. 6.5634602523485
        27. \n", + "\t
      27. 1.1536579532249
        28. \n", + "\t
      28. 8.47774332444975
        29. \n", + "\t
      29. 5.98894683307323
        30. \n", + "\t
      30. 9.17327529420458
        31. \n", + "\t
      31. 1.23704829097086
        32. \n", + "\t
      32. 4.52477710459844
        33. \n", + "\t
      33. 0.986550654573932
        34. \n", + "\t
      34. 4.09679982513295
        35. \n", + "\t
      35. 3.16212206799784
        36. \n", + "\t
      36. 1.35120407261272
        37. \n", + "\t
      37. 2.27797403883127
        38. \n", + "\t
      38. 5.76329523471552
        39. \n", + "\t
      39. 5.43391974459998
        40. \n", + "\t
      40. 9.33940280389176
        41. \n", + "\t
      41. 3.38172857599084
        42. \n", + "\t
      42. 1.51715776597393
        43. \n", + "\t
      43. 1.03192634329214
        44. \n", + "\t
      44. 0.76744528355239
        45. \n", + "\t
      45. 3.79044137516953
        46. \n", + "\t
      46. 3.40098195095008
        47. \n", + "\t
      47. 8.47856198981554
        48. \n", + "\t
      48. 5.11515642222309
        49. \n", + "\t
      49. 8.07212100793073
        50. \n", + "\t
      50. 1.02877890824651
        51. \n", + "\t
      51. 6.01815055323356
        52. \n", + "\t
      52. 1.3596609485333
        53. \n", + "\t
      53. 4.66763527222765
        54. \n", + "\t
      54. 1.47702012400562
        55. \n", + "\t
      55. 1.30732039360149
        56. \n", + "\t
      56. 1.24446547411927
        57. \n", + "\t
      57. 4.17548332931311
        58. \n", + "\t
      58. 1.78876749017121
        59. \n", + "\t
      59. 9.49917676851923
        60. \n", + "\t
      60. 1.00315327363425
        61. \n", + "\t
      61. 2.34219268831405
        62. \n", + "\t
      62. 1.39143050891201
        63. \n", + "\t
      63. 6.33312481812324
        64. \n", + "\t
      64. 1.9347880369137
        65. \n", + "\t
      65. 7.18805686755654
        66. \n", + "\t
      66. 2.427611258724
        67. \n", + "\t
      67. 9.13099863014061
        68. \n", + "\t
      68. 1.1239103938594
        69. \n", + "\t
      69. 3.77328723220969
        70. \n", + "\t
      70. 5.31221120134184
        71. \n", + "\t
      71. 8.68525026578386
        72. \n", + "\t
      72. 1.63336625208086
        73. \n", + "\t
      73. 1.10349911395085
        74. \n", + "\t
      74. 5.38668982785798
        75. \n", + "\t
      75. 1.16648409818056
        76. \n", + "\t
      76. 0.738378205690694
        77. \n", + "\t
      77. 4.77913738011433
        78. \n", + "\t
      78. 6.225593667026
        79. \n", + "\t
      79. 7.74508680791181
        80. \n", + "\t
      80. 1.12584983745217
        81. \n", + "\t
      81. 1.76302502383472
        82. \n", + "\t
      82. 4.93165734171116
        83. \n", + "\t
      83. 1.37960030742681
        84. \n", + "\t
      84. 6.37967858433325
        85. \n", + "\t
      85. 2.61831426694477
        86. \n", + "\t
      86. 1.71490269994145
        87. \n", + "\t
      87. 4.09247665706896
        88. \n", + "\t
      88. 7.79468885209342
        89. \n", + "\t
      89. 0.967838171724547
        90. \n", + "\t
      90. 4.74649214317364
        91. \n", + "\t
      91. 8.96294107939315
        92. \n", + "\t
      92. 1.7829792609052
        93. \n", + "\t
      93. 3.74641964881568
        94. \n", + "\t
      94. 2.9587477722163
        95. \n", + "\t
      95. 2.53594699499802
        96. \n", + "\t
      96. 4.91768524090689
        97. \n", + "\t
      97. 5.14183498284891
        98. \n", + "\t
      98. 5.6855733761053
        99. \n", + "\t
      99. 7.22832095600838
        100. \n", + "\t
      100. 5.83709110527636
        101. \n", + "
      \n", + "
      32. \n", + "\t
      32. \n", + "\t
      1. 2.8659978471178
        2. \n", + "\t
      2. 6.11439402983986
        3. \n", + "\t
      3. 5.07495116566086
        4. \n", + "\t
      4. 3.91983568931388
        5. \n", + "\t
      5. 7.96331538030597
        6. \n", + "\t
      6. 5.05043605022813
        7. \n", + "\t
      7. 7.11579447929148
        8. \n", + "\t
      8. 7.14564837551628
        9. \n", + "\t
      9. 5.13801481675435
        10. \n", + "\t
      10. 8.28625608280362
        11. \n", + "\t
      11. 8.11221245874115
        12. \n", + "\t
      12. 2.47770616683048
        13. \n", + "\t
      13. 9.4203409490039
        14. \n", + "\t
      14. 5.4716954077414
        15. \n", + "\t
      15. 5.43900712251864
        16. \n", + "\t
      16. 7.70496103797732
        17. \n", + "\t
      17. 7.07869178031433
        18. \n", + "\t
      18. 10.3176220738533
        19. \n", + "\t
      19. 5.8985548736426
        20. \n", + "\t
      20. 3.69356119568217
        21. \n", + "\t
      21. 8.43587594304584
        22. \n", + "\t
      22. 7.59422553593548
        23. \n", + "\t
      23. 7.858155393021
        24. \n", + "\t
      24. 12.1375117277225
        25. \n", + "\t
      25. 1.54448597979878
        26. \n", + "\t
      26. 3.58064083787762
        27. \n", + "\t
      27. 5.29252737306601
        28. \n", + "\t
      28. 10.1063597196262
        29. \n", + "\t
      29. 8.82674519472388
        30. \n", + "\t
      30. 7.88903832149005
        31. \n", + "\t
      31. 4.21819008254381
        32. \n", + "\t
      32. 1.99104801843503
        33. \n", + "\t
      33. 5.3563716849545
        34. \n", + "\t
      34. 7.75534702733482
        35. \n", + "\t
      35. 6.18533164508601
        36. \n", + "\t
      36. 6.35211465346884
        37. \n", + "\t
      37. 4.05518962260218
        38. \n", + "\t
      38. 9.02227524473069
        39. \n", + "\t
      39. 4.61066876159948
        40. \n", + "\t
      40. 5.45281257094742
        41. \n", + "\t
      41. 3.06480871627259
        42. \n", + "\t
      42. 1.11189460463274
        43. \n", + "\t
      43. 9.23820282850272
        44. \n", + "\t
      44. 1.84177090788202
        45. \n", + "\t
      45. 3.14794854700811
        46. \n", + "\t
      46. 7.2014090430923
        47. \n", + "\t
      47. 6.57789809359243
        48. \n", + "\t
      48. 7.13504273641723
        49. \n", + "\t
      49. 2.23267304169924
        50. \n", + "\t
      50. 8.99097407451996
        51. \n", + "\t
      51. 1.7227301767612
        52. \n", + "\t
      52. 6.07018327193363
        53. \n", + "\t
      53. 5.35916658033405
        54. \n", + "\t
      54. 9.5000975800132
        55. \n", + "\t
      55. 5.47056749301282
        56. \n", + "\t
      56. 6.16211197108809
        57. \n", + "\t
      57. 1.17353841408067
        58. \n", + "\t
      58. 2.99269102530517
        59. \n", + "\t
      59. 6.44131510402032
        60. \n", + "\t
      60. 1.07537352661211
        61. \n", + "\t
      61. 4.82545360829178
        62. \n", + "\t
      62. 7.5911046944608
        63. \n", + "\t
      63. 11.1215711026168
        64. \n", + "\t
      64. 7.3080316077967
        65. \n", + "\t
      65. 5.41447842535223
        66. \n", + "\t
      66. 4.83373814982619
        67. \n", + "\t
      67. 4.21975545803353
        68. \n", + "\t
      68. 8.68748656159984
        69. \n", + "\t
      69. 4.85915992101648
        70. \n", + "\t
      70. 5.79143996099193
        71. \n", + "\t
      71. 4.67979904387169
        72. \n", + "\t
      72. 10.4591112448786
        73. \n", + "\t
      73. 7.09235448152778
        74. \n", + "\t
      74. 12.350595227348
        75. \n", + "\t
      75. 6.31164894551608
        76. \n", + "\t
      76. 6.27836451779799
        77. \n", + "\t
      77. 6.78238597329589
        78. \n", + "\t
      78. 6.41468220149285
        79. \n", + "\t
      79. 4.51740112303926
        80. \n", + "\t
      80. 7.20273460958118
        81. \n", + "\t
      81. 10.0346724316935
        82. \n", + "\t
      82. 3.4252537306383
        83. \n", + "\t
      83. 1.80068668536893
        84. \n", + "\t
      84. 9.4625260674129
        85. \n", + "\t
      85. 4.37739640934315
        86. \n", + "\t
      86. 4.44245610455965
        87. \n", + "\t
      87. 8.56753824110145
        88. \n", + "\t
      88. 7.08561550976748
        89. \n", + "\t
      89. 5.00609391497844
        90. \n", + "\t
      90. 3.84652691288615
        91. \n", + "\t
      91. 3.73034730037369
        92. \n", + "\t
      92. 5.96109310214449
        93. \n", + "\t
      93. 4.04291058800325
        94. \n", + "\t
      94. 11.8398850097781
        95. \n", + "\t
      95. 6.09748034628734
        96. \n", + "\t
      96. 3.32090044090039
        97. \n", + "\t
      97. 8.20575953041127
        98. \n", + "\t
      98. 5.89464441364333
        99. \n", + "\t
      99. 4.4231422805023
        100. \n", + "\t
      100. 8.79726646196927
        101. \n", + "
      \n", + "
      33. \n", + "\t
      33. \n", + "\t
      1. 1.87448409432733
        2. \n", + "\t
      2. 8.38989643221081
        3. \n", + "\t
      3. 1.64915499298577
        4. \n", + "\t
      4. 2.35996598018091
        5. \n", + "\t
      5. 2.90959604341973
        6. \n", + "\t
      6. 4.23798701779922
        7. \n", + "\t
      7. 3.48301339971148
        8. \n", + "\t
      8. 2.07796569645838
        9. \n", + "\t
      9. 7.97848618098669
        10. \n", + "\t
      10. 1.15217572677735
        11. \n", + "\t
      11. 1.27706192245387
        12. \n", + "\t
      12. 2.51565725310297
        13. \n", + "\t
      13. 3.89058536423422
        14. \n", + "\t
      14. 4.43721178248965
        15. \n", + "\t
      15. 1.88456091885011
        16. \n", + "\t
      16. 5.53395102525687
        17. \n", + "\t
      17. 5.60971872793345
        18. \n", + "\t
      18. 3.18499182169185
        19. \n", + "\t
      19. 6.47217663118086
        20. \n", + "\t
      20. 4.4887581142138
        21. \n", + "\t
      21. 4.98790853018703
        22. \n", + "\t
      22. 2.99617057712366
        23. \n", + "\t
      23. 1.62543120245627
        24. \n", + "\t
      24. 5.43597299939946
        25. \n", + "\t
      25. 6.29400842962452
        26. \n", + "\t
      26. 4.64662767512684
        27. \n", + "\t
      27. 4.51696453012337
        28. \n", + "\t
      28. 5.01479105642062
        29. \n", + "\t
      29. 3.42271177920257
        30. \n", + "\t
      30. 3.73491060121845
        31. \n", + "\t
      31. 3.78313592644454
        32. \n", + "\t
      32. 4.26521252979668
        33. \n", + "\t
      33. 3.45664998171301
        34. \n", + "\t
      34. 5.16525805388371
        35. \n", + "\t
      35. 4.64017324007872
        36. \n", + "\t
      36. 7.16702214689354
        37. \n", + "\t
      37. 4.39708020732074
        38. \n", + "\t
      38. 1.82419058395342
        39. \n", + "\t
      39. 5.49437236715789
        40. \n", + "\t
      40. 2.64589663044881
        41. \n", + "\t
      41. 13.1401182112038
        42. \n", + "\t
      42. 1.06426749480615
        43. \n", + "\t
      43. 5.44445571566381
        44. \n", + "\t
      44. 6.35080012191072
        45. \n", + "\t
      45. 5.22513016153046
        46. \n", + "\t
      46. 7.28012676309212
        47. \n", + "\t
      47. 6.47997234519783
        48. \n", + "\t
      48. 11.7723649641218
        49. \n", + "\t
      49. 1.77012682700832
        50. \n", + "\t
      50. 1.56729375031437
        51. \n", + "\t
      51. 3.81583522236241
        52. \n", + "\t
      52. 0.899940768077359
        53. \n", + "\t
      53. 6.45059438239245
        54. \n", + "\t
      54. 3.5499154066431
        55. \n", + "\t
      55. 3.96502315811382
        56. \n", + "\t
      56. 4.41588010131878
        57. \n", + "\t
      57. 1.72212118194013
        58. \n", + "\t
      58. 1.44747463413892
        59. \n", + "\t
      59. 1.28083229700481
        60. \n", + "\t
      60. 7.55992234900553
        61. \n", + "\t
      61. 1.65881041454025
        62. \n", + "\t
      62. 2.20830214387581
        63. \n", + "\t
      63. 5.69682077266369
        64. \n", + "\t
      64. 2.44177530123266
        65. \n", + "\t
      65. 8.32080399095265
        66. \n", + "\t
      66. 1.77397395900335
        67. \n", + "\t
      67. 6.82697003481482
        68. \n", + "\t
      68. 5.29821205619303
        69. \n", + "\t
      69. 9.87257253725489
        70. \n", + "\t
      70. 4.49284735474482
        71. \n", + "\t
      71. 7.77885040026402
        72. \n", + "\t
      72. 7.41988383895846
        73. \n", + "\t
      73. 4.08697166358704
        74. \n", + "\t
      74. 10.1243707526436
        75. \n", + "\t
      75. 4.60099849341093
        76. \n", + "\t
      76. 4.41385978137039
        77. \n", + "\t
      77. 4.21544895836644
        78. \n", + "\t
      78. 6.75272145422017
        79. \n", + "\t
      79. 4.87563355716864
        80. \n", + "\t
      80. 2.03419646382096
        81. \n", + "\t
      81. 1.37256616940593
        82. \n", + "\t
      82. 6.29614309899218
        83. \n", + "\t
      83. 4.1296277780681
        84. \n", + "\t
      84. 7.24299426492461
        85. \n", + "\t
      85. 1.48927058230776
        86. \n", + "\t
      86. 1.61139899506874
        87. \n", + "\t
      87. 3.39082305508878
        88. \n", + "\t
      88. 5.55629374300689
        89. \n", + "\t
      89. 3.6835609901334
        90. \n", + "\t
      90. 4.56367518924395
        91. \n", + "\t
      91. 9.63554994384341
        92. \n", + "\t
      92. 3.64981848705697
        93. \n", + "\t
      93. 4.25510949334
        94. \n", + "\t
      94. 4.22679103253348
        95. \n", + "\t
      95. 6.95979977370664
        96. \n", + "\t
      96. 1.69922627261801
        97. \n", + "\t
      97. 1.73720163410881
        98. \n", + "\t
      98. 2.97960830124829
        99. \n", + "\t
      99. 5.50627623382225
        100. \n", + "\t
      100. 3.7368246005426
        101. \n", + "
      \n", + "
      34. \n", + "\t
      34. \n", + "\t
      1. 5.66809238988948
        2. \n", + "\t
      2. 1.76174569065214
        3. \n", + "\t
      3. 3.91896460097772
        4. \n", + "\t
      4. 4.56211332060483
        5. \n", + "\t
      5. 3.07562412340705
        6. \n", + "\t
      6. 6.75127597658541
        7. \n", + "\t
      7. 3.80503410109318
        8. \n", + "\t
      8. 6.28265799508616
        9. \n", + "\t
      9. 5.07181577523927
        10. \n", + "\t
      10. 4.22791157531953
        11. \n", + "\t
      11. 4.83319015366274
        12. \n", + "\t
      12. 3.33499826909096
        13. \n", + "\t
      13. 5.86732755206183
        14. \n", + "\t
      14. 8.27904738028796
        15. \n", + "\t
      15. 5.28656005754985
        16. \n", + "\t
      16. 5.71498853485514
        17. \n", + "\t
      17. 1.21240760256275
        18. \n", + "\t
      18. 4.83516012066667
        19. \n", + "\t
      19. 6.58548265233602
        20. \n", + "\t
      20. 7.00575779209435
        21. \n", + "\t
      21. 3.24517351686216
        22. \n", + "\t
      22. 2.65515623877347
        23. \n", + "\t
      23. 3.28574767576008
        24. \n", + "\t
      24. 5.84857065606058
        25. \n", + "\t
      25. 6.97872165386862
        26. \n", + "\t
      26. 6.22815043891306
        27. \n", + "\t
      27. 4.73399039449635
        28. \n", + "\t
      28. 3.35821582411035
        29. \n", + "\t
      29. 4.46394915615549
        30. \n", + "\t
      30. 6.57426801234098
        31. \n", + "\t
      31. 2.95751649404697
        32. \n", + "\t
      32. 2.01212534657424
        33. \n", + "\t
      33. 4.78385372192565
        34. \n", + "\t
      34. 3.42752646210458
        35. \n", + "\t
      35. 3.40119903576827
        36. \n", + "\t
      36. 4.49846637729684
        37. \n", + "\t
      37. 3.75062582673124
        38. \n", + "\t
      38. 5.4057927541981
        39. \n", + "\t
      39. 7.25520038574312
        40. \n", + "\t
      40. 2.32946868627267
        41. \n", + "\t
      41. 4.87133279358218
        42. \n", + "\t
      42. 5.07112940311213
        43. \n", + "\t
      43. 8.35733189055967
        44. \n", + "\t
      44. 1.66242241494041
        45. \n", + "\t
      45. 6.70168541545143
        46. \n", + "\t
      46. 7.86078190955093
        47. \n", + "\t
      47. 2.34422883656724
        48. \n", + "\t
      48. 3.72943253444003
        49. \n", + "\t
      49. 1.67571695354466
        50. \n", + "\t
      50. 5.42775648929238
        51. \n", + "\t
      51. 7.4706474920854
        52. \n", + "\t
      52. 3.60335601298037
        53. \n", + "\t
      53. 5.54545543546175
        54. \n", + "\t
      54. 2.9133231849675
        55. \n", + "\t
      55. 6.13699030204556
        56. \n", + "\t
      56. 5.57026517131724
        57. \n", + "\t
      57. 6.49184780072515
        58. \n", + "\t
      58. 3.40835238479085
        59. \n", + "\t
      59. 0.974046472993806
        60. \n", + "\t
      60. 4.26001720197908
        61. \n", + "\t
      61. 6.33601401249885
        62. \n", + "\t
      62. 4.01620628778985
        63. \n", + "\t
      63. 2.5847777180966
        64. \n", + "\t
      64. 0.858972078744353
        65. \n", + "\t
      65. 6.5715740427427
        66. \n", + "\t
      66. 5.63777202567633
        67. \n", + "\t
      67. 4.48036280605257
        68. \n", + "\t
      68. 3.37289607256058
        69. \n", + "\t
      69. 6.7577655103321
        70. \n", + "\t
      70. 6.29143900472091
        71. \n", + "\t
      71. 6.73915338580624
        72. \n", + "\t
      72. 7.94439503288163
        73. \n", + "\t
      73. 4.42426620498224
        74. \n", + "\t
      74. 3.78659864991867
        75. \n", + "\t
      75. 2.44093364319433
        76. \n", + "\t
      76. 6.63212206536425
        77. \n", + "\t
      77. 3.45588054764909
        78. \n", + "\t
      78. 5.7984405594132
        79. \n", + "\t
      79. 2.65717192557749
        80. \n", + "\t
      80. 2.92694520669101
        81. \n", + "\t
      81. 7.2793218255504
        82. \n", + "\t
      82. 3.32143451142357
        83. \n", + "\t
      83. 4.31727359404069
        84. \n", + "\t
      84. 1.8235999758556
        85. \n", + "\t
      85. 3.04045452492907
        86. \n", + "\t
      86. 3.66739333467925
        87. \n", + "\t
      87. 5.56655003138098
        88. \n", + "\t
      88. 4.75188398536975
        89. \n", + "\t
      89. 4.48985835511887
        90. \n", + "\t
      90. 4.13695392532692
        91. \n", + "\t
      91. 4.77742584610969
        92. \n", + "\t
      92. 2.67999591450467
        93. \n", + "\t
      93. 3.12056490621675
        94. \n", + "\t
      94. 7.2193224744635
        95. \n", + "\t
      95. 7.03219756792487
        96. \n", + "\t
      96. 3.52281135516257
        97. \n", + "\t
      97. 6.14054875023275
        98. \n", + "\t
      98. 5.32295246830821
        99. \n", + "\t
      99. 8.44788543173213
        100. \n", + "\t
      100. 3.09631522759534
        101. \n", + "
      \n", + "
      35. \n", + "\t
      35. \n", + "\t
      1. 5.41435127186712
        2. \n", + "\t
      2. 5.49116834825408
        3. \n", + "\t
      3. 3.39141304331405
        4. \n", + "\t
      4. 2.19713155046025
        5. \n", + "\t
      5. 7.02178645071143
        6. \n", + "\t
      6. 3.33250322287156
        7. \n", + "\t
      7. 3.76758011027411
        8. \n", + "\t
      8. 4.68398042470656
        9. \n", + "\t
      9. 4.41204320048217
        10. \n", + "\t
      10. 2.73792695559336
        11. \n", + "\t
      11. 5.21997922924642
        12. \n", + "\t
      12. 1.3375203277451
        13. \n", + "\t
      13. 3.1470439975494
        14. \n", + "\t
      14. 2.27036697701823
        15. \n", + "\t
      15. 2.3987020317361
        16. \n", + "\t
      16. 2.53905884102553
        17. \n", + "\t
      17. 3.00305109943597
        18. \n", + "\t
      18. 5.54941849275023
        19. \n", + "\t
      19. 5.08854183068147
        20. \n", + "\t
      20. 1.65918075836145
        21. \n", + "\t
      21. 2.94523287489372
        22. \n", + "\t
      22. 1.31548412756242
        23. \n", + "\t
      23. 2.84560235821455
        24. \n", + "\t
      24. 1.03825779581153
        25. \n", + "\t
      25. 2.01925872407085
        26. \n", + "\t
      26. 1.54277546701909
        27. \n", + "\t
      27. 2.56233500218431
        28. \n", + "\t
      28. 2.12206681879828
        29. \n", + "\t
      29. 0.646798945824959
        30. \n", + "\t
      30. 5.2382730082964
        31. \n", + "\t
      31. 1.34757892698612
        32. \n", + "\t
      32. 4.25038547605613
        33. \n", + "\t
      33. 3.45245834054575
        34. \n", + "\t
      34. 1.31528295281534
        35. \n", + "\t
      35. 5.16472051190016
        36. \n", + "\t
      36. 4.34632340525329
        37. \n", + "\t
      37. 6.21100422041754
        38. \n", + "\t
      38. 5.37728407907106
        39. \n", + "\t
      39. 3.87121305139416
        40. \n", + "\t
      40. 4.3634316447876
        41. \n", + "\t
      41. 4.89259997943065
        42. \n", + "\t
      42. 3.3206930746015
        43. \n", + "\t
      43. 4.76252576674138
        44. \n", + "\t
      44. 1.41279232722152
        45. \n", + "\t
      45. 2.70225559402602
        46. \n", + "\t
      46. 5.14068121808769
        47. \n", + "\t
      47. 1.47885254061438
        48. \n", + "\t
      48. 2.57179510213603
        49. \n", + "\t
      49. 4.94030275131633
        50. \n", + "\t
      50. 1.71069121973919
        51. \n", + "\t
      51. 3.24181525459646
        52. \n", + "\t
      52. 4.43591351117539
        53. \n", + "\t
      53. 2.59393332213923
        54. \n", + "\t
      54. 4.85542389020223
        55. \n", + "\t
      55. 6.29846574627197
        56. \n", + "\t
      56. 3.26123793191132
        57. \n", + "\t
      57. 5.19218104410878
        58. \n", + "\t
      58. 3.45207562567349
        59. \n", + "\t
      59. 1.6878517571465
        60. \n", + "\t
      60. 3.17411147642654
        61. \n", + "\t
      61. 8.1194883571289
        62. \n", + "\t
      62. 3.09998667335163
        63. \n", + "\t
      63. 5.43046440607988
        64. \n", + "\t
      64. 5.49598569542791
        65. \n", + "\t
      65. 6.32221840043244
        66. \n", + "\t
      66. 5.9537653137668
        67. \n", + "\t
      67. 3.33039693577786
        68. \n", + "\t
      68. 1.24955333742441
        69. \n", + "\t
      69. 1.54407479527502
        70. \n", + "\t
      70. 3.35878364749199
        71. \n", + "\t
      71. 7.41380914058177
        72. \n", + "\t
      72. 7.35275163152332
        73. \n", + "\t
      73. 2.13319193494933
        74. \n", + "\t
      74. 4.61638491112566
        75. \n", + "\t
      75. 6.11189226367182
        76. \n", + "\t
      76. 3.91784962619168
        77. \n", + "\t
      77. 4.04724739771775
        78. \n", + "\t
      78. 1.52473512264158
        79. \n", + "\t
      79. 4.87499628626516
        80. \n", + "\t
      80. 2.12344884540382
        81. \n", + "\t
      81. 4.64572973514897
        82. \n", + "\t
      82. 3.06602454965013
        83. \n", + "\t
      83. 4.11866173029755
        84. \n", + "\t
      84. 4.34250575537231
        85. \n", + "\t
      85. 2.91441988741054
        86. \n", + "\t
      86. 2.79042829024234
        87. \n", + "\t
      87. 4.87565095318012
        88. \n", + "\t
      88. 1.33582989714082
        89. \n", + "\t
      89. 2.3028966551965
        90. \n", + "\t
      90. 3.34441569139686
        91. \n", + "\t
      91. 4.75623123468724
        92. \n", + "\t
      92. 5.32201109820859
        93. \n", + "\t
      93. 2.74116734775544
        94. \n", + "\t
      94. 1.70061884476999
        95. \n", + "\t
      95. 2.44073659758545
        96. \n", + "\t
      96. 1.8045865120562
        97. \n", + "\t
      97. 3.06905440092727
        98. \n", + "\t
      98. 4.72829777755551
        99. \n", + "\t
      99. 4.29874579896363
        100. \n", + "\t
      100. 4.82030285963763
        101. \n", + "
      \n", + "
      36. \n", + "\t
      36. \n", + "\t
      1. 4.59192763219989
        2. \n", + "\t
      2. 4.89008805317624
        3. \n", + "\t
      3. 0.471362570551949
        4. \n", + "\t
      4. 5.73501565061366
        5. \n", + "\t
      5. 6.80798430210653
        6. \n", + "\t
      6. 7.19263663231532
        7. \n", + "\t
      7. 2.88861237879651
        8. \n", + "\t
      8. 8.76236955668486
        9. \n", + "\t
      9. 6.90159903763767
        10. \n", + "\t
      10. 3.68465167102593
        11. \n", + "\t
      11. 5.37672240045604
        12. \n", + "\t
      12. 2.05342900855854
        13. \n", + "\t
      13. 1.55718843180945
        14. \n", + "\t
      14. 7.47764098796934
        15. \n", + "\t
      15. 5.20976261916338
        16. \n", + "\t
      16. 1.15222561363504
        17. \n", + "\t
      17. 1.18911501017845
        18. \n", + "\t
      18. 1.26727100664616
        19. \n", + "\t
      19. 6.17409839712638
        20. \n", + "\t
      20. 3.97198288512364
        21. \n", + "\t
      21. 6.78513700629403
        22. \n", + "\t
      22. 1.62474981465499
        23. \n", + "\t
      23. 7.43147664549621
        24. \n", + "\t
      24. 6.21915793370953
        25. \n", + "\t
      25. 3.63833007948255
        26. \n", + "\t
      26. 2.19276713986591
        27. \n", + "\t
      27. 5.72507329814638
        28. \n", + "\t
      28. 1.62456408890297
        29. \n", + "\t
      29. 1.90390191163477
        30. \n", + "\t
      30. 2.32233248720152
        31. \n", + "\t
      31. 4.15805128455854
        32. \n", + "\t
      32. 4.79146471015059
        33. \n", + "\t
      33. 1.2388887374667
        34. \n", + "\t
      34. 3.71090971585491
        35. \n", + "\t
      35. 1.90367610499688
        36. \n", + "\t
      36. 6.76082149341562
        37. \n", + "\t
      37. 4.86751702834967
        38. \n", + "\t
      38. 9.97193168406598
        39. \n", + "\t
      39. 6.87302172351436
        40. \n", + "\t
      40. 7.24612091911469
        41. \n", + "\t
      41. 7.31864703407606
        42. \n", + "\t
      42. 6.50879093173034
        43. \n", + "\t
      43. 5.11531688882311
        44. \n", + "\t
      44. 1.33350250816629
        45. \n", + "\t
      45. 4.59921430762825
        46. \n", + "\t
      46. 4.1177497572616
        47. \n", + "\t
      47. 0.964430157599968
        48. \n", + "\t
      48. 4.75719864045213
        49. \n", + "\t
      49. 1.82848896397055
        50. \n", + "\t
      50. 2.50294807729316
        51. \n", + "\t
      51. 3.04397339737794
        52. \n", + "\t
      52. 6.43139801248781
        53. \n", + "\t
      53. 8.79551068761203
        54. \n", + "\t
      54. 1.80795408678784
        55. \n", + "\t
      55. 4.40382110699014
        56. \n", + "\t
      56. 5.94971218074888
        57. \n", + "\t
      57. 2.00637673297929
        58. \n", + "\t
      58. 4.69712901165369
        59. \n", + "\t
      59. 4.33408721800712
        60. \n", + "\t
      60. 2.76431772860606
        61. \n", + "\t
      61. 3.94100042117539
        62. \n", + "\t
      62. 2.12522486428143
        63. \n", + "\t
      63. 1.23382369164749
        64. \n", + "\t
      64. 2.00505448380144
        65. \n", + "\t
      65. 4.46549106669041
        66. \n", + "\t
      66. 6.32176905309733
        67. \n", + "\t
      67. 6.70193746997167
        68. \n", + "\t
      68. 5.4124295430614
        69. \n", + "\t
      69. 3.88458792441992
        70. \n", + "\t
      70. 1.71725635833392
        71. \n", + "\t
      71. 3.84723358810507
        72. \n", + "\t
      72. 4.89242078134464
        73. \n", + "\t
      73. 6.93916566556062
        74. \n", + "\t
      74. 0.694385996694704
        75. \n", + "\t
      75. 3.92457428582403
        76. \n", + "\t
      76. 5.41391665611576
        77. \n", + "\t
      77. 0.866058386291908
        78. \n", + "\t
      78. 5.15539937799799
        79. \n", + "\t
      79. 4.89156941768068
        80. \n", + "\t
      80. 4.54277024269905
        81. \n", + "\t
      81. 4.47604593526231
        82. \n", + "\t
      82. 6.02451588250111
        83. \n", + "\t
      83. 6.90617178706566
        84. \n", + "\t
      84. 5.37812196496583
        85. \n", + "\t
      85. 4.18389456115253
        86. \n", + "\t
      86. 8.88988852162458
        87. \n", + "\t
      87. 4.73668536412401
        88. \n", + "\t
      88. 2.92356213621937
        89. \n", + "\t
      89. 5.25564316314736
        90. \n", + "\t
      90. 2.30417001351622
        91. \n", + "\t
      91. 5.16434631345019
        92. \n", + "\t
      92. 1.33020522146949
        93. \n", + "\t
      93. 1.84554971635676
        94. \n", + "\t
      94. 6.42328007606242
        95. \n", + "\t
      95. 4.04221601626138
        96. \n", + "\t
      96. 6.62369115692539
        97. \n", + "\t
      97. 4.5001417868876
        98. \n", + "\t
      98. 1.25242111750946
        99. \n", + "\t
      99. 3.73371457757802
        100. \n", + "\t
      100. 7.61905685783144
        101. \n", + "
      \n", + "
      37. \n", + "\t
      37. \n", + "\t
      1. 3.49899152044488
        2. \n", + "\t
      2. 3.41292540764704
        3. \n", + "\t
      3. 5.62338399555076
        4. \n", + "\t
      4. 8.71007837331506
        5. \n", + "\t
      5. 8.3212190889567
        6. \n", + "\t
      6. 7.44385824814559
        7. \n", + "\t
      7. 7.11211311579767
        8. \n", + "\t
      8. 6.93875437842439
        9. \n", + "\t
      9. 4.00837086690818
        10. \n", + "\t
      10. 6.04475791247327
        11. \n", + "\t
      11. 5.07179313497675
        12. \n", + "\t
      12. 5.71248363944745
        13. \n", + "\t
      13. 5.54620029904397
        14. \n", + "\t
      14. 4.72453297559083
        15. \n", + "\t
      15. 4.79401927987597
        16. \n", + "\t
      16. 12.6637047473539
        17. \n", + "\t
      17. 6.20190039014298
        18. \n", + "\t
      18. 10.7007989368061
        19. \n", + "\t
      19. 11.5485694338459
        20. \n", + "\t
      20. 4.63551830772041
        21. \n", + "\t
      21. 5.83063867295431
        22. \n", + "\t
      22. 5.58455317436848
        23. \n", + "\t
      23. 1.59729565706855
        24. \n", + "\t
      24. 4.42811477319318
        25. \n", + "\t
      25. 5.00979712850279
        26. \n", + "\t
      26. 9.03070624394595
        27. \n", + "\t
      27. 5.84104295927963
        28. \n", + "\t
      28. 4.60013945896351
        29. \n", + "\t
      29. 4.37609521041852
        30. \n", + "\t
      30. 6.24980176411682
        31. \n", + "\t
      31. 3.94216737050649
        32. \n", + "\t
      32. 4.42156135546465
        33. \n", + "\t
      33. 2.80384708347656
        34. \n", + "\t
      34. 6.87135494366873
        35. \n", + "\t
      35. 4.50005213672535
        36. \n", + "\t
      36. 5.67428180533582
        37. \n", + "\t
      37. 9.41658531721494
        38. \n", + "\t
      38. 10.9083332943471
        39. \n", + "\t
      39. 7.50165578870991
        40. \n", + "\t
      40. 12.150342314412
        41. \n", + "\t
      41. 8.38994381958497
        42. \n", + "\t
      42. 6.63056030005977
        43. \n", + "\t
      43. 9.153386719644
        44. \n", + "\t
      44. 6.47498760734091
        45. \n", + "\t
      45. 2.44803961657678
        46. \n", + "\t
      46. 5.73837606850553
        47. \n", + "\t
      47. 8.73874934413781
        48. \n", + "\t
      48. 5.52245630108403
        49. \n", + "\t
      49. 6.59423408096222
        50. \n", + "\t
      50. 8.09727634182239
        51. \n", + "\t
      51. 5.30397907399006
        52. \n", + "\t
      52. 4.32534410156819
        53. \n", + "\t
      53. 7.91638127930373
        54. \n", + "\t
      54. 6.16847535516235
        55. \n", + "\t
      55. 4.97271977633549
        56. \n", + "\t
      56. 6.64161212459678
        57. \n", + "\t
      57. 6.54676098058308
        58. \n", + "\t
      58. 7.74159314820915
        59. \n", + "\t
      59. 3.86476094527055
        60. \n", + "\t
      60. 8.299683424665
        61. \n", + "\t
      61. 5.35828198371256
        62. \n", + "\t
      62. 4.64509679735905
        63. \n", + "\t
      63. 6.0222582234044
        64. \n", + "\t
      64. 7.07582019560734
        65. \n", + "\t
      65. 5.68474922906425
        66. \n", + "\t
      66. 4.02696636606233
        67. \n", + "\t
      67. 7.28614728575143
        68. \n", + "\t
      68. 5.48306158408922
        69. \n", + "\t
      69. 4.82630193110504
        70. \n", + "\t
      70. 6.32958063117068
        71. \n", + "\t
      71. 6.85465917748582
        72. \n", + "\t
      72. 6.28804642904829
        73. \n", + "\t
      73. 6.16201207441487
        74. \n", + "\t
      74. 7.69085707354229
        75. \n", + "\t
      75. 5.89533084897391
        76. \n", + "\t
      76. 7.24289396484357
        77. \n", + "\t
      77. 2.50368236809298
        78. \n", + "\t
      78. 8.79473805663568
        79. \n", + "\t
      79. 4.34063478333462
        80. \n", + "\t
      80. 4.3605414594241
        81. \n", + "\t
      81. 2.99873313706646
        82. \n", + "\t
      82. 11.2002364837386
        83. \n", + "\t
      83. 3.47839416902185
        84. \n", + "\t
      84. 6.70925496161457
        85. \n", + "\t
      85. 7.5158530839794
        86. \n", + "\t
      86. 2.78097686956886
        87. \n", + "\t
      87. 6.96097203680242
        88. \n", + "\t
      88. 6.88456811274246
        89. \n", + "\t
      89. 1.24284552236951
        90. \n", + "\t
      90. 6.2135486071205
        91. \n", + "\t
      91. 5.13017755635937
        92. \n", + "\t
      92. 3.63483045596772
        93. \n", + "\t
      93. 8.71926723528222
        94. \n", + "\t
      94. 7.06432707011138
        95. \n", + "\t
      95. 7.19184847239579
        96. \n", + "\t
      96. 8.21839848816353
        97. \n", + "\t
      97. 5.34245101193538
        98. \n", + "\t
      98. 4.87823711455918
        99. \n", + "\t
      99. 5.39765678847515
        100. \n", + "\t
      100. 5.1891500822503
        101. \n", + "
      \n", + "
      38. \n", + "\t
      38. \n", + "\t
      1. 10.3071922007093
        2. \n", + "\t
      2. 5.3063101877822
        3. \n", + "\t
      3. 4.70183267727841
        4. \n", + "\t
      4. 4.52541308997556
        5. \n", + "\t
      5. 4.10477613438505
        6. \n", + "\t
      6. 8.91792750959634
        7. \n", + "\t
      7. 10.5658483921186
        8. \n", + "\t
      8. 11.3662765894056
        9. \n", + "\t
      9. 6.85429377838994
        10. \n", + "\t
      10. 5.83432776980264
        11. \n", + "\t
      11. 4.37227327997654
        12. \n", + "\t
      12. 3.67878218472665
        13. \n", + "\t
      13. 8.85277780672673
        14. \n", + "\t
      14. 7.86903604604269
        15. \n", + "\t
      15. 8.69280369297567
        16. \n", + "\t
      16. 8.39462857410449
        17. \n", + "\t
      17. 6.73402116655669
        18. \n", + "\t
      18. 6.73704920530041
        19. \n", + "\t
      19. 1.21068033094558
        20. \n", + "\t
      20. 5.66362373196668
        21. \n", + "\t
      21. 9.64204868257579
        22. \n", + "\t
      22. 6.36737879138291
        23. \n", + "\t
      23. 4.67654228318744
        24. \n", + "\t
      24. 11.943534798038
        25. \n", + "\t
      25. 6.75839521113604
        26. \n", + "\t
      26. 4.1390714200587
        27. \n", + "\t
      27. 4.07854974507162
        28. \n", + "\t
      28. 5.57464986428516
        29. \n", + "\t
      29. 12.0948709799351
        30. \n", + "\t
      30. 3.89277925165496
        31. \n", + "\t
      31. 4.09067942842367
        32. \n", + "\t
      32. 5.99977866442563
        33. \n", + "\t
      33. 2.29908473550271
        34. \n", + "\t
      34. 6.43409722924913
        35. \n", + "\t
      35. 2.69251625489604
        36. \n", + "\t
      36. 5.71112903296771
        37. \n", + "\t
      37. 5.2069113244542
        38. \n", + "\t
      38. 3.32434550296241
        39. \n", + "\t
      39. 8.07917493243103
        40. \n", + "\t
      40. 1.52430642402403
        41. \n", + "\t
      41. 2.23083261585516
        42. \n", + "\t
      42. 11.7652083165075
        43. \n", + "\t
      43. 9.3217322993755
        44. \n", + "\t
      44. 5.60083758198166
        45. \n", + "\t
      45. 8.58414389614531
        46. \n", + "\t
      46. 6.72603354086283
        47. \n", + "\t
      47. 5.64767006770719
        48. \n", + "\t
      48. 5.93785664074269
        49. \n", + "\t
      49. 1.65174696997956
        50. \n", + "\t
      50. 2.01930803114172
        51. \n", + "\t
      51. 5.22207746488266
        52. \n", + "\t
      52. 9.96400875898258
        53. \n", + "\t
      53. 4.77049585574049
        54. \n", + "\t
      54. 1.16074484668091
        55. \n", + "\t
      55. 7.3207934382551
        56. \n", + "\t
      56. 4.39401850032314
        57. \n", + "\t
      57. 10.4775104426521
        58. \n", + "\t
      58. 4.85573018842496
        59. \n", + "\t
      59. 2.68369839092601
        60. \n", + "\t
      60. 12.6055572855224
        61. \n", + "\t
      61. 5.12759329728295
        62. \n", + "\t
      62. 8.61603498014667
        63. \n", + "\t
      63. 12.4122611369767
        64. \n", + "\t
      64. 7.92980861350992
        65. \n", + "\t
      65. 0.776269306378419
        66. \n", + "\t
      66. 7.07853983852833
        67. \n", + "\t
      67. 7.74542166963172
        68. \n", + "\t
      68. 4.56383544743322
        69. \n", + "\t
      69. 4.38805534586693
        70. \n", + "\t
      70. 10.3316906825958
        71. \n", + "\t
      71. 7.52278986266127
        72. \n", + "\t
      72. 1.90874872060713
        73. \n", + "\t
      73. 4.87708234596764
        74. \n", + "\t
      74. 7.14594846858769
        75. \n", + "\t
      75. 3.96494546719842
        76. \n", + "\t
      76. 5.75264990974034
        77. \n", + "\t
      77. 9.31026242591954
        78. \n", + "\t
      78. 6.30422529727126
        79. \n", + "\t
      79. 9.41604074283056
        80. \n", + "\t
      80. 1.82955043751907
        81. \n", + "\t
      81. 1.73729775835335
        82. \n", + "\t
      82. 6.86306958745639
        83. \n", + "\t
      83. 5.41010595902302
        84. \n", + "\t
      84. 4.78977922610615
        85. \n", + "\t
      85. 6.85676966341311
        86. \n", + "\t
      86. 4.32754814809835
        87. \n", + "\t
      87. 6.6512202549403
        88. \n", + "\t
      88. 5.02068435285231
        89. \n", + "\t
      89. 2.99477206627896
        90. \n", + "\t
      90. 4.01597601583446
        91. \n", + "\t
      91. 5.00257081603282
        92. \n", + "\t
      92. 4.93497268287495
        93. \n", + "\t
      93. 7.5226571144201
        94. \n", + "\t
      94. 4.08597809010653
        95. \n", + "\t
      95. 1.92164090656381
        96. \n", + "\t
      96. 1.15590953103989
        97. \n", + "\t
      97. 6.93335721416266
        98. \n", + "\t
      98. 7.86003595386204
        99. \n", + "\t
      99. 3.52033534764579
        100. \n", + "\t
      100. 1.49868562635292
        101. \n", + "
      \n", + "
      39. \n", + "\t
      39. \n", + "\t
      1. 8.21044597627482
        2. \n", + "\t
      2. 2.12297824523086
        3. \n", + "\t
      3. 3.27863579499007
        4. \n", + "\t
      4. 4.66765112549241
        5. \n", + "\t
      5. 5.24483986431313
        6. \n", + "\t
      6. 1.44275937835187
        7. \n", + "\t
      7. 2.79447795553269
        8. \n", + "\t
      8. 1.17501789137443
        9. \n", + "\t
      9. 1.87352159964041
        10. \n", + "\t
      10. 5.95644359463787
        11. \n", + "\t
      11. 5.93925753953988
        12. \n", + "\t
      12. 5.84192045904392
        13. \n", + "\t
      13. 4.722205056727
        14. \n", + "\t
      14. 6.30066239056073
        15. \n", + "\t
      15. 3.7430113081536
        16. \n", + "\t
      16. 1.85299994160528
        17. \n", + "\t
      17. 2.07169677124198
        18. \n", + "\t
      18. 3.70881326574776
        19. \n", + "\t
      19. 0.917946745014837
        20. \n", + "\t
      20. 5.52149054835535
        21. \n", + "\t
      21. 7.54152909083201
        22. \n", + "\t
      22. 2.9466215461815
        23. \n", + "\t
      23. 4.14728140286123
        24. \n", + "\t
      24. 8.70101335594331
        25. \n", + "\t
      25. 3.4157479750489
        26. \n", + "\t
      26. 6.44046581491497
        27. \n", + "\t
      27. 8.33053667340736
        28. \n", + "\t
      28. 3.01107829470914
        29. \n", + "\t
      29. 3.76427426685225
        30. \n", + "\t
      30. 0.957049971868863
        31. \n", + "\t
      31. 3.76244889187146
        32. \n", + "\t
      32. 1.3740260281841
        33. \n", + "\t
      33. 0.869740456938242
        34. \n", + "\t
      34. 5.45522294977186
        35. \n", + "\t
      35. 1.90766243758219
        36. \n", + "\t
      36. 2.62707327430599
        37. \n", + "\t
      37. 4.78462596944855
        38. \n", + "\t
      38. 2.76236426444299
        39. \n", + "\t
      39. 3.26032469824527
        40. \n", + "\t
      40. 3.18316975976168
        41. \n", + "\t
      41. 5.79459532167925
        42. \n", + "\t
      42. 3.87816607815444
        43. \n", + "\t
      43. 4.32109207543391
        44. \n", + "\t
      44. 4.48349601929854
        45. \n", + "\t
      45. 1.91047320912619
        46. \n", + "\t
      46. 5.43112597280336
        47. \n", + "\t
      47. 4.56584434370459
        48. \n", + "\t
      48. 5.4422255802442
        49. \n", + "\t
      49. 1.34114719055126
        50. \n", + "\t
      50. 1.87519247773958
        51. \n", + "\t
      51. 3.97894429701025
        52. \n", + "\t
      52. 3.50907012616111
        53. \n", + "\t
      53. 6.40170088747957
        54. \n", + "\t
      54. 2.16200487218358
        55. \n", + "\t
      55. 2.41904904684509
        56. \n", + "\t
      56. 3.90227340448158
        57. \n", + "\t
      57. 4.13303102306985
        58. \n", + "\t
      58. 3.95310482972833
        59. \n", + "\t
      59. 2.2205801079155
        60. \n", + "\t
      60. 1.97186416802363
        61. \n", + "\t
      61. 2.80661754859467
        62. \n", + "\t
      62. 2.09617011557374
        63. \n", + "\t
      63. 3.46614773532715
        64. \n", + "\t
      64. 2.77247001363575
        65. \n", + "\t
      65. 0.691767315741599
        66. \n", + "\t
      66. 0.990422285702017
        67. \n", + "\t
      67. 5.11251074790749
        68. \n", + "\t
      68. 4.38366818070275
        69. \n", + "\t
      69. 5.42926511702736
        70. \n", + "\t
      70. 4.1380629184038
        71. \n", + "\t
      71. 2.21954864946626
        72. \n", + "\t
      72. 3.35592322840233
        73. \n", + "\t
      73. 4.95357538415918
        74. \n", + "\t
      74. 2.86440445917435
        75. \n", + "\t
      75. 5.04224212488645
        76. \n", + "\t
      76. 6.30276070768465
        77. \n", + "\t
      77. 3.8431878697549
        78. \n", + "\t
      78. 6.90917696384316
        79. \n", + "\t
      79. 1.72399895095812
        80. \n", + "\t
      80. 2.88837871622469
        81. \n", + "\t
      81. 2.5957843612388
        82. \n", + "\t
      82. 2.48530497705895
        83. \n", + "\t
      83. 6.15397022835539
        84. \n", + "\t
      84. 7.7788055930079
        85. \n", + "\t
      85. 7.29281798813468
        86. \n", + "\t
      86. 3.91619581233788
        87. \n", + "\t
      87. 3.73503153376737
        88. \n", + "\t
      88. 2.03403256553973
        89. \n", + "\t
      89. 5.47765604296559
        90. \n", + "\t
      90. 2.43271053424929
        91. \n", + "\t
      91. 5.13472049200409
        92. \n", + "\t
      92. 5.62649863307106
        93. \n", + "\t
      93. 4.20956484442682
        94. \n", + "\t
      94. 2.14304038472786
        95. \n", + "\t
      95. 2.49224420728578
        96. \n", + "\t
      96. 3.99172476076678
        97. \n", + "\t
      97. 2.28770179668012
        98. \n", + "\t
      98. 0.651653469160938
        99. \n", + "\t
      99. 1.61613999777513
        100. \n", + "\t
      100. 2.72718810034028
        101. \n", + "
      \n", + "
      40. \n", + "\t
      40. \n", + "\t
      1. 1.52728063230752
        2. \n", + "\t
      2. 5.97483160653709
        3. \n", + "\t
      3. 1.90918840867938
        4. \n", + "\t
      4. 1.14900136536727
        5. \n", + "\t
      5. 3.15965416925663
        6. \n", + "\t
      6. 4.50529669509202
        7. \n", + "\t
      7. 3.96289071364259
        8. \n", + "\t
      8. 2.8355570183432
        9. \n", + "\t
      9. 1.69299423410049
        10. \n", + "\t
      10. 2.60088731475634
        11. \n", + "\t
      11. 1.38458554770809
        12. \n", + "\t
      12. 3.85228562912636
        13. \n", + "\t
      13. 1.39949948276298
        14. \n", + "\t
      14. 0.820400286849157
        15. \n", + "\t
      15. 2.14645518185278
        16. \n", + "\t
      16. 1.5152231779029
        17. \n", + "\t
      17. 1.66642435042641
        18. \n", + "\t
      18. 0.653256769314719
        19. \n", + "\t
      19. 4.98255025882568
        20. \n", + "\t
      20. 4.06282169948417
        21. \n", + "\t
      21. 3.33825377057798
        22. \n", + "\t
      22. 2.07515990376414
        23. \n", + "\t
      23. 2.33145626674499
        24. \n", + "\t
      24. 3.24236303928639
        25. \n", + "\t
      25. 2.16726931920388
        26. \n", + "\t
      26. 1.87517207853874
        27. \n", + "\t
      27. 1.33775508542807
        28. \n", + "\t
      28. 4.12672302682243
        29. \n", + "\t
      29. 1.76355871408409
        30. \n", + "\t
      30. 1.32826497675075
        31. \n", + "\t
      31. 6.89478988596808
        32. \n", + "\t
      32. 2.66582255787953
        33. \n", + "\t
      33. 3.15214647684804
        34. \n", + "\t
      34. 2.51339271813775
        35. \n", + "\t
      35. 1.87817106900814
        36. \n", + "\t
      36. 1.80886264580832
        37. \n", + "\t
      37. 5.39724334368829
        38. \n", + "\t
      38. 3.69314986082816
        39. \n", + "\t
      39. 3.17425825212237
        40. \n", + "\t
      40. 4.46405322944695
        41. \n", + "\t
      41. 2.01330486417942
        42. \n", + "\t
      42. 3.653454288117
        43. \n", + "\t
      43. 3.96707424876612
        44. \n", + "\t
      44. 1.23571793899211
        45. \n", + "\t
      45. 1.41397294112023
        46. \n", + "\t
      46. 2.61170624437497
        47. \n", + "\t
      47. 2.68914729305486
        48. \n", + "\t
      48. 2.95044640345538
        49. \n", + "\t
      49. 0.896100385865284
        50. \n", + "\t
      50. 1.84837848068978
        51. \n", + "\t
      51. 2.92457031348393
        52. \n", + "\t
      52. 1.13163334765896
        53. \n", + "\t
      53. 4.26441442511001
        54. \n", + "\t
      54. 0.614698893051866
        55. \n", + "\t
      55. 2.8399153344506
        56. \n", + "\t
      56. 4.00280924414672
        57. \n", + "\t
      57. 2.80435973430342
        58. \n", + "\t
      58. 0.855769914263772
        59. \n", + "\t
      59. 1.53531036401578
        60. \n", + "\t
      60. 2.94673622480871
        61. \n", + "\t
      61. 4.01602534226976
        62. \n", + "\t
      62. 5.49936440434312
        63. \n", + "\t
      63. 1.59155021787539
        64. \n", + "\t
      64. 0.84715540990711
        65. \n", + "\t
      65. 3.28172809951164
        66. \n", + "\t
      66. 4.92932765942865
        67. \n", + "\t
      67. 2.52661265078964
        68. \n", + "\t
      68. 2.85192016989325
        69. \n", + "\t
      69. 4.357315848665
        70. \n", + "\t
      70. 1.42454730849268
        71. \n", + "\t
      71. 5.32096094864625
        72. \n", + "\t
      72. 5.52641492742209
        73. \n", + "\t
      73. 3.04325912194657
        74. \n", + "\t
      74. 4.18821857873772
        75. \n", + "\t
      75. 3.5513250598352
        76. \n", + "\t
      76. 1.43460901810113
        77. \n", + "\t
      77. 1.33409554426269
        78. \n", + "\t
      78. 1.18716314477648
        79. \n", + "\t
      79. 3.84126260401072
        80. \n", + "\t
      80. 8.00445668651304
        81. \n", + "\t
      81. 2.05599761458909
        82. \n", + "\t
      82. 0.855961449186826
        83. \n", + "\t
      83. 5.45810156978296
        84. \n", + "\t
      84. 3.94624110160624
        85. \n", + "\t
      85. 0.85913302185602
        86. \n", + "\t
      86. 4.25839773845215
        87. \n", + "\t
      87. 2.78989782131532
        88. \n", + "\t
      88. 1.3387921009389
        89. \n", + "\t
      89. 2.99187319654351
        90. \n", + "\t
      90. 1.51083095254737
        91. \n", + "\t
      91. 3.12524545446078
        92. \n", + "\t
      92. 2.04520280306867
        93. \n", + "\t
      93. 3.53260944332066
        94. \n", + "\t
      94. 0.954417641506546
        95. \n", + "\t
      95. 0.355178356117729
        96. \n", + "\t
      96. 3.56800193810623
        97. \n", + "\t
      97. 1.12597359304886
        98. \n", + "\t
      98. 2.72894440292137
        99. \n", + "\t
      99. 4.30416232029851
        100. \n", + "\t
      100. 1.04040385646362
        101. \n", + "
      \n", + "
      41. \n", + "\t
      41. \n", + "\t
      1. 1.65876161271321
        2. \n", + "\t
      2. 3.95035248623516
        3. \n", + "\t
      3. 3.30372771953697
        4. \n", + "\t
      4. 2.48372229290825
        5. \n", + "\t
      5. 3.63341345075702
        6. \n", + "\t
      6. 5.42557336698886
        7. \n", + "\t
      7. 3.61282424041641
        8. \n", + "\t
      8. 0.908388729239339
        9. \n", + "\t
      9. 3.01284455205432
        10. \n", + "\t
      10. 2.91745595377978
        11. \n", + "\t
      11. 7.84265807058458
        12. \n", + "\t
      12. 0.890470568074648
        13. \n", + "\t
      13. 4.47244326200218
        14. \n", + "\t
      14. 0.918749459178299
        15. \n", + "\t
      15. 3.51475682480424
        16. \n", + "\t
      16. 4.80447420447104
        17. \n", + "\t
      17. 3.75793330910889
        18. \n", + "\t
      18. 3.67777380888193
        19. \n", + "\t
      19. 7.54831996181819
        20. \n", + "\t
      20. 8.58229608752437
        21. \n", + "\t
      21. 0.292823840761886
        22. \n", + "\t
      22. 6.91597171608765
        23. \n", + "\t
      23. 8.45073721750888
        24. \n", + "\t
      24. 1.34107714875392
        25. \n", + "\t
      25. 5.98694967561241
        26. \n", + "\t
      26. 0.649850308837558
        27. \n", + "\t
      27. 4.71198365688811
        28. \n", + "\t
      28. 2.60224260636443
        29. \n", + "\t
      29. 2.12094195355755
        30. \n", + "\t
      30. 0.413227747843072
        31. \n", + "\t
      31. 8.09615460767242
        32. \n", + "\t
      32. 5.13965600473532
        33. \n", + "\t
      33. 3.92913202455951
        34. \n", + "\t
      34. 1.37895561893129
        35. \n", + "\t
      35. 6.39467458446812
        36. \n", + "\t
      36. 6.87769426392006
        37. \n", + "\t
      37. 3.81454583200351
        38. \n", + "\t
      38. 2.43646910708711
        39. \n", + "\t
      39. 5.21848278278962
        40. \n", + "\t
      40. 1.49662223361711
        41. \n", + "\t
      41. 5.67530925491858
        42. \n", + "\t
      42. 3.545354133528
        43. \n", + "\t
      43. 1.88658466819946
        44. \n", + "\t
      44. 1.09603328933333
        45. \n", + "\t
      45. 3.06633505578029
        46. \n", + "\t
      46. 2.04213044630717
        47. \n", + "\t
      47. 1.70051161421517
        48. \n", + "\t
      48. 4.71905953811289
        49. \n", + "\t
      49. 6.97125430491842
        50. \n", + "\t
      50. 1.43857919400928
        51. \n", + "\t
      51. 0.467688468955949
        52. \n", + "\t
      52. 2.85456893573221
        53. \n", + "\t
      53. 5.28954520011325
        54. \n", + "\t
      54. 1.24394542311255
        55. \n", + "\t
      55. 1.56309595292984
        56. \n", + "\t
      56. 1.80744058757313
        57. \n", + "\t
      57. 3.1600395568936
        58. \n", + "\t
      58. 1.40080787361991
        59. \n", + "\t
      59. 2.80528781515528
        60. \n", + "\t
      60. 3.43134165109711
        61. \n", + "\t
      61. 0.599175782140382
        62. \n", + "\t
      62. 2.16652854114757
        63. \n", + "\t
      63. 1.51276169234599
        64. \n", + "\t
      64. 3.51308391837692
        65. \n", + "\t
      65. 4.01675740318575
        66. \n", + "\t
      66. 5.51763430226747
        67. \n", + "\t
      67. 3.61071940686636
        68. \n", + "\t
      68. 5.92842293419647
        69. \n", + "\t
      69. 0.927451784336212
        70. \n", + "\t
      70. 2.46320563918407
        71. \n", + "\t
      71. 5.31515820763075
        72. \n", + "\t
      72. 1.19572801351915
        73. \n", + "\t
      73. 3.39787112558058
        74. \n", + "\t
      74. 2.11429708162785
        75. \n", + "\t
      75. 6.76174832004662
        76. \n", + "\t
      76. 2.15845653688021
        77. \n", + "\t
      77. 4.14457309674835
        78. \n", + "\t
      78. 2.06442048909623
        79. \n", + "\t
      79. 1.98846309506375
        80. \n", + "\t
      80. 0.777268628337927
        81. \n", + "\t
      81. 6.15128612639781
        82. \n", + "\t
      82. 2.08780925707219
        83. \n", + "\t
      83. 4.08686787578281
        84. \n", + "\t
      84. 3.02610728708192
        85. \n", + "\t
      85. 2.3855848540531
        86. \n", + "\t
      86. 0.957410583818816
        87. \n", + "\t
      87. 4.53686541093175
        88. \n", + "\t
      88. 4.80666811042195
        89. \n", + "\t
      89. 0.472230224277693
        90. \n", + "\t
      90. 1.00281392467647
        91. \n", + "\t
      91. 6.17133930837118
        92. \n", + "\t
      92. 1.3056489511072
        93. \n", + "\t
      93. 4.48687507327418
        94. \n", + "\t
      94. 4.90327804885658
        95. \n", + "\t
      95. 5.97331697524552
        96. \n", + "\t
      96. 2.98844555226502
        97. \n", + "\t
      97. 4.03539731033953
        98. \n", + "\t
      98. 4.63580277638197
        99. \n", + "\t
      99. 5.10821394499273
        100. \n", + "\t
      100. 4.88168994240796
        101. \n", + "
      \n", + "
      42. \n", + "\t
      42. \n", + "\t
      1. 1.42601607448415
        2. \n", + "\t
      2. 3.49889438417546
        3. \n", + "\t
      3. 1.70488396479098
        4. \n", + "\t
      4. 1.53018094501437
        5. \n", + "\t
      5. 1.59741962871806
        6. \n", + "\t
      6. 2.6716509466495
        7. \n", + "\t
      7. 1.28192461497326
        8. \n", + "\t
      8. 0.95236029107252
        9. \n", + "\t
      9. 8.0677823298212
        10. \n", + "\t
      10. 1.56951653799602
        11. \n", + "\t
      11. 1.43591397563559
        12. \n", + "\t
      12. 0.973481432053819
        13. \n", + "\t
      13. 4.03322929268592
        14. \n", + "\t
      14. 1.73261572171181
        15. \n", + "\t
      15. 2.1379543122494
        16. \n", + "\t
      16. 4.0425797557595
        17. \n", + "\t
      17. 1.19231149272026
        18. \n", + "\t
      18. 0.581814770161301
        19. \n", + "\t
      19. 1.7718069441468
        20. \n", + "\t
      20. 3.23771453330606
        21. \n", + "\t
      21. 8.47638612652402
        22. \n", + "\t
      22. 1.30162047921082
        23. \n", + "\t
      23. 3.08261692667759
        24. \n", + "\t
      24. 4.79250897006095
        25. \n", + "\t
      25. 0.867361425315125
        26. \n", + "\t
      26. 1.81641486366151
        27. \n", + "\t
      27. 2.41240443952155
        28. \n", + "\t
      28. 5.12513493692313
        29. \n", + "\t
      29. 1.7425093631807
        30. \n", + "\t
      30. 3.88726685965759
        31. \n", + "\t
      31. 0.727662328537147
        32. \n", + "\t
      32. 8.78111275777252
        33. \n", + "\t
      33. 4.34527709314956
        34. \n", + "\t
      34. 1.33050456558052
        35. \n", + "\t
      35. 4.22099886845587
        36. \n", + "\t
      36. 2.00177693523481
        37. \n", + "\t
      37. 5.62661897551154
        38. \n", + "\t
      38. 1.13774571794752
        39. \n", + "\t
      39. 6.51135205627264
        40. \n", + "\t
      40. 6.48340667009531
        41. \n", + "\t
      41. 1.10179811656418
        42. \n", + "\t
      42. 1.1826968720565
        43. \n", + "\t
      43. 1.49949627195
        44. \n", + "\t
      44. 2.57277851750029
        45. \n", + "\t
      45. 4.95959889964277
        46. \n", + "\t
      46. 2.55784925971987
        47. \n", + "\t
      47. 1.00765396782246
        48. \n", + "\t
      48. 7.47614834907433
        49. \n", + "\t
      49. 1.62428069719849
        50. \n", + "\t
      50. 4.96996138458567
        51. \n", + "\t
      51. 5.66437913068671
        52. \n", + "\t
      52. 4.51140016340707
        53. \n", + "\t
      53. 9.68608875883639
        54. \n", + "\t
      54. 0.850631334846571
        55. \n", + "\t
      55. 6.62922929391716
        56. \n", + "\t
      56. 4.53263596804823
        57. \n", + "\t
      57. 5.38560543732358
        58. \n", + "\t
      58. 5.34550633042158
        59. \n", + "\t
      59. 0.550307108485582
        60. \n", + "\t
      60. 6.19658803490635
        61. \n", + "\t
      61. 3.53900033343359
        62. \n", + "\t
      62. 0.691477647081637
        63. \n", + "\t
      63. 4.16178850017434
        64. \n", + "\t
      64. 4.31302694489974
        65. \n", + "\t
      65. 2.39703913491394
        66. \n", + "\t
      66. 5.0613911999598
        67. \n", + "\t
      67. 1.09575320162819
        68. \n", + "\t
      68. 4.24233004962265
        69. \n", + "\t
      69. 1.59520531929055
        70. \n", + "\t
      70. 4.30625257175589
        71. \n", + "\t
      71. 1.18161797088063
        72. \n", + "\t
      72. 1.56298451880814
        73. \n", + "\t
      73. 1.08026314186264
        74. \n", + "\t
      74. 1.88819038943771
        75. \n", + "\t
      75. 4.21553006023013
        76. \n", + "\t
      76. 3.7681190530378
        77. \n", + "\t
      77. 6.1710856019662
        78. \n", + "\t
      78. 1.21779786570953
        79. \n", + "\t
      79. 3.56721834774282
        80. \n", + "\t
      80. 1.78569472127212
        81. \n", + "\t
      81. 5.50474974241264
        82. \n", + "\t
      82. 1.60938693940341
        83. \n", + "\t
      83. 2.31594956041883
        84. \n", + "\t
      84. 1.89245764603531
        85. \n", + "\t
      85. 0.242080817299041
        86. \n", + "\t
      86. 9.05325483497628
        87. \n", + "\t
      87. 0.704739575539796
        88. \n", + "\t
      88. 0.980484634821618
        89. \n", + "\t
      89. 0.752468369109967
        90. \n", + "\t
      90. 1.56142011358653
        91. \n", + "\t
      91. 1.56588126210901
        92. \n", + "\t
      92. 2.66683570255972
        93. \n", + "\t
      93. 2.00277761582718
        94. \n", + "\t
      94. 1.12458912223455
        95. \n", + "\t
      95. 3.10579390157175
        96. \n", + "\t
      96. 2.4947421848368
        97. \n", + "\t
      97. 3.41709737993236
        98. \n", + "\t
      98. 2.81287446642708
        99. \n", + "\t
      99. 1.54695224974465
        100. \n", + "\t
      100. 1.21406561148909
        101. \n", + "
      \n", + "
      43. \n", + "\t
      43. \n", + "\t
      1. 1.60935815933593
        2. \n", + "\t
      2. 3.08941077116885
        3. \n", + "\t
      3. 7.24482227795498
        4. \n", + "\t
      4. 2.81599902842978
        5. \n", + "\t
      5. 2.70362763549007
        6. \n", + "\t
      6. 7.01876135722173
        7. \n", + "\t
      7. 7.57939126380926
        8. \n", + "\t
      8. 6.38367366000523
        9. \n", + "\t
      9. 3.0003344881864
        10. \n", + "\t
      10. 6.42690623988166
        11. \n", + "\t
      11. 6.50193537816766
        12. \n", + "\t
      12. 3.83197037057429
        13. \n", + "\t
      13. 5.29504845979799
        14. \n", + "\t
      14. 8.47882079212783
        15. \n", + "\t
      15. 5.72198959557217
        16. \n", + "\t
      16. 3.01065046942606
        17. \n", + "\t
      17. 2.29167374711162
        18. \n", + "\t
      18. 1.79033114399832
        19. \n", + "\t
      19. 4.16277420489644
        20. \n", + "\t
      20. 6.12952643750979
        21. \n", + "\t
      21. 7.75675529264204
        22. \n", + "\t
      22. 7.06382745947052
        23. \n", + "\t
      23. 10.4967083335771
        24. \n", + "\t
      24. 6.62966125150488
        25. \n", + "\t
      25. 4.72341128724155
        26. \n", + "\t
      26. 2.44401293095102
        27. \n", + "\t
      27. 5.5009769004343
        28. \n", + "\t
      28. 3.7449259081196
        29. \n", + "\t
      29. 2.2181785151371
        30. \n", + "\t
      30. 4.36931494382326
        31. \n", + "\t
      31. 4.51213268960851
        32. \n", + "\t
      32. 4.70991171585644
        33. \n", + "\t
      33. 0.771225543425624
        34. \n", + "\t
      34. 8.3956197014459
        35. \n", + "\t
      35. 4.64204390143313
        36. \n", + "\t
      36. 7.22588179115389
        37. \n", + "\t
      37. 3.67465147694115
        38. \n", + "\t
      38. 2.35319882197491
        39. \n", + "\t
      39. 3.95412764073058
        40. \n", + "\t
      40. 3.05557458687945
        41. \n", + "\t
      41. 1.06136977384235
        42. \n", + "\t
      42. 1.10414114927098
        43. \n", + "\t
      43. 3.80671763424115
        44. \n", + "\t
      44. 6.56593053517776
        45. \n", + "\t
      45. 2.2859272881215
        46. \n", + "\t
      46. 4.85772804826695
        47. \n", + "\t
      47. 5.64204512341887
        48. \n", + "\t
      48. 12.7028608438782
        49. \n", + "\t
      49. 3.51021577769865
        50. \n", + "\t
      50. 7.46964066671176
        51. \n", + "\t
      51. 3.25146984059877
        52. \n", + "\t
      52. 1.2238133844369
        53. \n", + "\t
      53. 3.531368477219
        54. \n", + "\t
      54. 2.84699390584703
        55. \n", + "\t
      55. 6.89303000433363
        56. \n", + "\t
      56. 1.57012484086476
        57. \n", + "\t
      57. 3.00665567842771
        58. \n", + "\t
      58. 5.34360045513497
        59. \n", + "\t
      59. 5.99980284200712
        60. \n", + "\t
      60. 3.30171381494153
        61. \n", + "\t
      61. 4.08895948355512
        62. \n", + "\t
      62. 1.75781270777547
        63. \n", + "\t
      63. 6.35103639363328
        64. \n", + "\t
      64. 3.24257103068753
        65. \n", + "\t
      65. 6.92291666166106
        66. \n", + "\t
      66. 5.50284481908371
        67. \n", + "\t
      67. 5.48556056735227
        68. \n", + "\t
      68. 6.94382419397864
        69. \n", + "\t
      69. 7.36721485178826
        70. \n", + "\t
      70. 6.93550679352334
        71. \n", + "\t
      71. 4.52248077891755
        72. \n", + "\t
      72. 4.76858869600022
        73. \n", + "\t
      73. 6.12234358855916
        74. \n", + "\t
      74. 4.41875965875689
        75. \n", + "\t
      75. 6.50464718390954
        76. \n", + "\t
      76. 7.01902343379368
        77. \n", + "\t
      77. 3.23550518903875
        78. \n", + "\t
      78. 6.36434520682299
        79. \n", + "\t
      79. 3.87392079713327
        80. \n", + "\t
      80. 3.83887953464077
        81. \n", + "\t
      81. 5.32246872083362
        82. \n", + "\t
      82. 7.11821586634632
        83. \n", + "\t
      83. 6.59860168587465
        84. \n", + "\t
      84. 3.56699469006627
        85. \n", + "\t
      85. 5.71250451948427
        86. \n", + "\t
      86. 5.12373980299337
        87. \n", + "\t
      87. 5.44414360673614
        88. \n", + "\t
      88. 1.62909947453536
        89. \n", + "\t
      89. 4.05806162447887
        90. \n", + "\t
      90. 9.97978155053488
        91. \n", + "\t
      91. 7.2436415294921
        92. \n", + "\t
      92. 3.19194272137567
        93. \n", + "\t
      93. 7.51698274463233
        94. \n", + "\t
      94. 4.10826842992189
        95. \n", + "\t
      95. 7.12632098715913
        96. \n", + "\t
      96. 2.82407767527968
        97. \n", + "\t
      97. 2.38789120394266
        98. \n", + "\t
      98. 5.48608991667033
        99. \n", + "\t
      99. 4.57029952498179
        100. \n", + "\t
      100. 4.02837925493714
        101. \n", + "
      \n", + "
      44. \n", + "\t
      44. \n", + "\t
      1. 3.96770764279359
        2. \n", + "\t
      2. 1.84384430699302
        3. \n", + "\t
      3. 5.98046825734285
        4. \n", + "\t
      4. 8.53320197904113
        5. \n", + "\t
      5. 6.68632904246098
        6. \n", + "\t
      6. 5.47798890889999
        7. \n", + "\t
      7. 6.00617403755337
        8. \n", + "\t
      8. 3.98361079790153
        9. \n", + "\t
      9. 4.49827768314385
        10. \n", + "\t
      10. 4.2014862037749
        11. \n", + "\t
      11. 3.5550252790245
        12. \n", + "\t
      12. 6.15614250767957
        13. \n", + "\t
      13. 4.94758146887726
        14. \n", + "\t
      14. 2.52428243270082
        15. \n", + "\t
      15. 5.77434916535954
        16. \n", + "\t
      16. 3.05031787415905
        17. \n", + "\t
      17. 1.13868752015668
        18. \n", + "\t
      18. 5.61517972172943
        19. \n", + "\t
      19. 8.68230593790517
        20. \n", + "\t
      20. 0.678703291298057
        21. \n", + "\t
      21. 4.10896841283879
        22. \n", + "\t
      22. 5.14427556614728
        23. \n", + "\t
      23. 9.10587941799841
        24. \n", + "\t
      24. 1.32307914404684
        25. \n", + "\t
      25. 7.0035915783559
        26. \n", + "\t
      26. 10.7754773356547
        27. \n", + "\t
      27. 5.39406014604606
        28. \n", + "\t
      28. 5.30315092174131
        29. \n", + "\t
      29. 5.68482816471271
        30. \n", + "\t
      30. 1.30933191449467
        31. \n", + "\t
      31. 8.22880270489307
        32. \n", + "\t
      32. 6.91009842091787
        33. \n", + "\t
      33. 5.08305184874442
        34. \n", + "\t
      34. 6.63242214820741
        35. \n", + "\t
      35. 4.60472692065068
        36. \n", + "\t
      36. 4.58081175045854
        37. \n", + "\t
      37. 2.21414084328352
        38. \n", + "\t
      38. 9.39522852702098
        39. \n", + "\t
      39. 8.02495212540278
        40. \n", + "\t
      40. 5.59265302558327
        41. \n", + "\t
      41. 7.36826536513434
        42. \n", + "\t
      42. 5.3013507833267
        43. \n", + "\t
      43. 7.02776327592195
        44. \n", + "\t
      44. 4.35446288801403
        45. \n", + "\t
      45. 4.30657235076332
        46. \n", + "\t
      46. 5.85060955887689
        47. \n", + "\t
      47. 1.43495909771081
        48. \n", + "\t
      48. 6.16689324095368
        49. \n", + "\t
      49. 5.03495296960499
        50. \n", + "\t
      50. 4.24474242107463
        51. \n", + "\t
      51. 6.35531953285994
        52. \n", + "\t
      52. 4.81238799389056
        53. \n", + "\t
      53. 10.1274010995922
        54. \n", + "\t
      54. 5.79115085554201
        55. \n", + "\t
      55. 6.07721826629059
        56. \n", + "\t
      56. 3.14270118086398
        57. \n", + "\t
      57. 7.92974090588387
        58. \n", + "\t
      58. 7.32524285022624
        59. \n", + "\t
      59. 4.92919491402353
        60. \n", + "\t
      60. 2.33000667335463
        61. \n", + "\t
      61. 4.58272455247033
        62. \n", + "\t
      62. 6.65009460256774
        63. \n", + "\t
      63. 2.78113246736193
        64. \n", + "\t
      64. 4.55226840827928
        65. \n", + "\t
      65. 4.69593358389311
        66. \n", + "\t
      66. 1.8426241324105
        67. \n", + "\t
      67. 7.04523702507912
        68. \n", + "\t
      68. 5.23059394009454
        69. \n", + "\t
      69. 6.65878216646572
        70. \n", + "\t
      70. 5.50361632605121
        71. \n", + "\t
      71. 2.63629252711034
        72. \n", + "\t
      72. 7.13306171127312
        73. \n", + "\t
      73. 3.51256601755333
        74. \n", + "\t
      74. 4.44311660742017
        75. \n", + "\t
      75. 7.62514930420877
        76. \n", + "\t
      76. 3.45056479187019
        77. \n", + "\t
      77. 1.26263893264647
        78. \n", + "\t
      78. 4.20336619449977
        79. \n", + "\t
      79. 5.68140902776034
        80. \n", + "\t
      80. 6.81207531751672
        81. \n", + "\t
      81. 4.13625987590658
        82. \n", + "\t
      82. 4.78667957646099
        83. \n", + "\t
      83. 9.70704736603664
        84. \n", + "\t
      84. 5.72014850289554
        85. \n", + "\t
      85. 7.0258593720656
        86. \n", + "\t
      86. 1.98425910444351
        87. \n", + "\t
      87. 4.48722884381986
        88. \n", + "\t
      88. 2.57815526361112
        89. \n", + "\t
      89. 6.37056129520436
        90. \n", + "\t
      90. 4.0032711495133
        91. \n", + "\t
      91. 1.75135546285519
        92. \n", + "\t
      92. 4.31717699791286
        93. \n", + "\t
      93. 4.49872615991751
        94. \n", + "\t
      94. 6.2657784191532
        95. \n", + "\t
      95. 1.98666089614979
        96. \n", + "\t
      96. 8.18321483034216
        97. \n", + "\t
      97. 5.76201160836943
        98. \n", + "\t
      98. 5.5017317044667
        99. \n", + "\t
      99. 5.59060653361817
        100. \n", + "\t
      100. 5.49860189320369
        101. \n", + "
      \n", + "
      45. \n", + "\t
      45. \n", + "\t
      1. 3.7933829041436
        2. \n", + "\t
      2. 7.11097433883875
        3. \n", + "\t
      3. 5.08565956317553
        4. \n", + "\t
      4. 3.32446636441453
        5. \n", + "\t
      5. 3.89645811990704
        6. \n", + "\t
      6. 5.34503555254386
        7. \n", + "\t
      7. 2.56605817137071
        8. \n", + "\t
      8. 5.51627287433613
        9. \n", + "\t
      9. 4.02802248815699
        10. \n", + "\t
      10. 4.90640247923295
        11. \n", + "\t
      11. 7.00126387390358
        12. \n", + "\t
      12. 5.3210692867525
        13. \n", + "\t
      13. 1.43282033489618
        14. \n", + "\t
      14. 4.49034006451898
        15. \n", + "\t
      15. 5.07311667072315
        16. \n", + "\t
      16. 3.86485129170394
        17. \n", + "\t
      17. 3.84077005614403
        18. \n", + "\t
      18. 4.55733188445663
        19. \n", + "\t
      19. 4.38908039501566
        20. \n", + "\t
      20. 4.60464042247457
        21. \n", + "\t
      21. 3.97453039457527
        22. \n", + "\t
      22. 3.55514375540017
        23. \n", + "\t
      23. 3.59111479106405
        24. \n", + "\t
      24. 3.60990910386528
        25. \n", + "\t
      25. 2.1024841098165
        26. \n", + "\t
      26. 6.78687979150899
        27. \n", + "\t
      27. 2.24285535684183
        28. \n", + "\t
      28. 3.77633849901755
        29. \n", + "\t
      29. 4.22789692157203
        30. \n", + "\t
      30. 4.67493561827999
        31. \n", + "\t
      31. 2.23778782390296
        32. \n", + "\t
      32. 4.48803541000231
        33. \n", + "\t
      33. 3.67218761191339
        34. \n", + "\t
      34. 2.48605351104461
        35. \n", + "\t
      35. 3.76025210261902
        36. \n", + "\t
      36. 2.89431461156452
        37. \n", + "\t
      37. 2.8962800005555
        38. \n", + "\t
      38. 6.14387303006369
        39. \n", + "\t
      39. 2.92123244080596
        40. \n", + "\t
      40. 3.18584911327964
        41. \n", + "\t
      41. 2.24371642092875
        42. \n", + "\t
      42. 3.49963736445065
        43. \n", + "\t
      43. 1.04392264791194
        44. \n", + "\t
      44. 5.10171859811794
        45. \n", + "\t
      45. 3.47712696333531
        46. \n", + "\t
      46. 2.65469662161423
        47. \n", + "\t
      47. 4.99648844716957
        48. \n", + "\t
      48. 4.34822002398073
        49. \n", + "\t
      49. 4.74997292829849
        50. \n", + "\t
      50. 6.0779673696691
        51. \n", + "\t
      51. 4.70268979916441
        52. \n", + "\t
      52. 2.10895707086403
        53. \n", + "\t
      53. 7.02705416188597
        54. \n", + "\t
      54. 4.35725651223155
        55. \n", + "\t
      55. 3.55624217070611
        56. \n", + "\t
      56. 2.07765572117592
        57. \n", + "\t
      57. 2.52859305716372
        58. \n", + "\t
      58. 3.26403170665219
        59. \n", + "\t
      59. 5.49073012818284
        60. \n", + "\t
      60. 3.19415565165751
        61. \n", + "\t
      61. 3.83016887497222
        62. \n", + "\t
      62. 7.17614065379161
        63. \n", + "\t
      63. 5.1493001415345
        64. \n", + "\t
      64. 1.40386176762411
        65. \n", + "\t
      65. 1.67062061878358
        66. \n", + "\t
      66. 2.50387129834088
        67. \n", + "\t
      67. 2.19102898202548
        68. \n", + "\t
      68. 5.74587472966628
        69. \n", + "\t
      69. 2.72661030024921
        70. \n", + "\t
      70. 3.26853993892877
        71. \n", + "\t
      71. 3.80824023405911
        72. \n", + "\t
      72. 5.11301632066374
        73. \n", + "\t
      73. 5.21490490224518
        74. \n", + "\t
      74. 2.55418901122573
        75. \n", + "\t
      75. 5.67898212359002
        76. \n", + "\t
      76. 1.49173906858684
        77. \n", + "\t
      77. 1.86237612674432
        78. \n", + "\t
      78. 3.95497717068915
        79. \n", + "\t
      79. 5.7129189187268
        80. \n", + "\t
      80. 5.82126062552775
        81. \n", + "\t
      81. 1.833317828253
        82. \n", + "\t
      82. 2.57829746913706
        83. \n", + "\t
      83. 6.57407111389665
        84. \n", + "\t
      84. 4.70201073112197
        85. \n", + "\t
      85. 2.10331403344647
        86. \n", + "\t
      86. 5.56316774452536
        87. \n", + "\t
      87. 4.64913624129928
        88. \n", + "\t
      88. 2.87261248799456
        89. \n", + "\t
      89. 3.22512884557412
        90. \n", + "\t
      90. 4.32530720035364
        91. \n", + "\t
      91. 2.87819211373023
        92. \n", + "\t
      92. 2.07752903145897
        93. \n", + "\t
      93. 3.89745612684095
        94. \n", + "\t
      94. 2.89111596889573
        95. \n", + "\t
      95. 1.69391212752342
        96. \n", + "\t
      96. 4.36177554239545
        97. \n", + "\t
      97. 6.49944847516721
        98. \n", + "\t
      98. 2.59448746851135
        99. \n", + "\t
      99. 1.06410769736249
        100. \n", + "\t
      100. 4.91564871216112
        101. \n", + "
      \n", + "
      46. \n", + "\t
      46. \n", + "\t
      1. 0.682213979494026
        2. \n", + "\t
      2. 5.60899816242478
        3. \n", + "\t
      3. 1.31241309822834
        4. \n", + "\t
      4. 2.18149309060167
        5. \n", + "\t
      5. 4.22635552227671
        6. \n", + "\t
      6. 3.97797210902308
        7. \n", + "\t
      7. 3.68768480085598
        8. \n", + "\t
      8. 1.67450390172749
        9. \n", + "\t
      9. 2.39863974823891
        10. \n", + "\t
      10. 3.21004440789013
        11. \n", + "\t
      11. 2.39697532248729
        12. \n", + "\t
      12. 6.19127924822461
        13. \n", + "\t
      13. 1.11696379129291
        14. \n", + "\t
      14. 2.26279959804361
        15. \n", + "\t
      15. 1.97907366027882
        16. \n", + "\t
      16. 1.29182641035932
        17. \n", + "\t
      17. 4.30542958470572
        18. \n", + "\t
      18. 1.17522806549358
        19. \n", + "\t
      19. 3.28544977875144
        20. \n", + "\t
      20. 3.79497281222645
        21. \n", + "\t
      21. 1.26829209432131
        22. \n", + "\t
      22. 0.770329678909796
        23. \n", + "\t
      23. 2.4822583527249
        24. \n", + "\t
      24. 3.24773092680064
        25. \n", + "\t
      25. 3.96897148037334
        26. \n", + "\t
      26. 1.89312446755669
        27. \n", + "\t
      27. 1.23423149461436
        28. \n", + "\t
      28. 2.32492968337474
        29. \n", + "\t
      29. 1.38266351981445
        30. \n", + "\t
      30. 1.73978005096357
        31. \n", + "\t
      31. 2.01921172758299
        32. \n", + "\t
      32. 2.12858588198506
        33. \n", + "\t
      33. 1.7572522072009
        34. \n", + "\t
      34. 2.92384101278737
        35. \n", + "\t
      35. 2.28185314884828
        36. \n", + "\t
      36. 2.79087687841961
        37. \n", + "\t
      37. 2.21214515416281
        38. \n", + "\t
      38. 6.58839684283952
        39. \n", + "\t
      39. 3.87376411226761
        40. \n", + "\t
      40. 2.05665537309651
        41. \n", + "\t
      41. 4.0078467830082
        42. \n", + "\t
      42. 3.05863934048795
        43. \n", + "\t
      43. 4.25356635297312
        44. \n", + "\t
      44. 3.70785083445082
        45. \n", + "\t
      45. 2.93315625166136
        46. \n", + "\t
      46. 1.43597873075997
        47. \n", + "\t
      47. 1.83712340347003
        48. \n", + "\t
      48. 1.10777237125187
        49. \n", + "\t
      49. 4.44863028673394
        50. \n", + "\t
      50. 3.01700982034357
        51. \n", + "\t
      51. 2.3113005552686
        52. \n", + "\t
      52. 2.35184844488368
        53. \n", + "\t
      53. 3.93683507808506
        54. \n", + "\t
      54. 2.50473805351577
        55. \n", + "\t
      55. 2.85231975079154
        56. \n", + "\t
      56. 1.83640657891441
        57. \n", + "\t
      57. 1.89965451103241
        58. \n", + "\t
      58. 2.02961669624199
        59. \n", + "\t
      59. 2.5019031028902
        60. \n", + "\t
      60. 1.46624501953432
        61. \n", + "\t
      61. 3.07005293188619
        62. \n", + "\t
      62. 1.69132901690944
        63. \n", + "\t
      63. 2.28052913905126
        64. \n", + "\t
      64. 2.29198438800531
        65. \n", + "\t
      65. 5.1996014447257
        66. \n", + "\t
      66. 1.20167312492674
        67. \n", + "\t
      67. 2.97559833424831
        68. \n", + "\t
      68. 6.45115405209848
        69. \n", + "\t
      69. 2.50881939168588
        70. \n", + "\t
      70. 2.33537764181492
        71. \n", + "\t
      71. 2.22069826130878
        72. \n", + "\t
      72. 3.49594491513486
        73. \n", + "\t
      73. 1.68424426946995
        74. \n", + "\t
      74. 3.14609124137652
        75. \n", + "\t
      75. 2.0950435430721
        76. \n", + "\t
      76. 1.26824122259499
        77. \n", + "\t
      77. 1.61356823228515
        78. \n", + "\t
      78. 5.59581437355025
        79. \n", + "\t
      79. 6.11524686716444
        80. \n", + "\t
      80. 1.10231513717403
        81. \n", + "\t
      81. 3.53138130236314
        82. \n", + "\t
      82. 1.31173282301512
        83. \n", + "\t
      83. 2.13327425019401
        84. \n", + "\t
      84. 3.3399998927838
        85. \n", + "\t
      85. 3.06495105310089
        86. \n", + "\t
      86. 1.70279391821338
        87. \n", + "\t
      87. 1.54454262241002
        88. \n", + "\t
      88. 1.69710291561058
        89. \n", + "\t
      89. 1.79367362799527
        90. \n", + "\t
      90. 3.55122563139024
        91. \n", + "\t
      91. 1.45859836944158
        92. \n", + "\t
      92. 1.77864880689464
        93. \n", + "\t
      93. 1.5939600159281
        94. \n", + "\t
      94. 3.79058219066413
        95. \n", + "\t
      95. 1.98539557260113
        96. \n", + "\t
      96. 3.05333346689608
        97. \n", + "\t
      97. 3.10129447290027
        98. \n", + "\t
      98. 4.62378992332122
        99. \n", + "\t
      99. 3.50520967771329
        100. \n", + "\t
      100. 4.10910132669659
        101. \n", + "
      \n", + "
      47. \n", + "\t
      47. \n", + "\t
      1. 2.30223620940601
        2. \n", + "\t
      2. 3.36861351162507
        3. \n", + "\t
      3. 4.70298177406719
        4. \n", + "\t
      4. 6.34445313289214
        5. \n", + "\t
      5. 8.38928476781946
        6. \n", + "\t
      6. 6.41627914758445
        7. \n", + "\t
      7. 6.40057865750174
        8. \n", + "\t
      8. 6.88339075043493
        9. \n", + "\t
      9. 3.90308103315205
        10. \n", + "\t
      10. 6.13195829043625
        11. \n", + "\t
      11. 1.89022334316743
        12. \n", + "\t
      12. 5.61871283612473
        13. \n", + "\t
      13. 6.69050889309157
        14. \n", + "\t
      14. 4.46752648172241
        15. \n", + "\t
      15. 3.44765742771564
        16. \n", + "\t
      16. 5.2809051703339
        17. \n", + "\t
      17. 2.42781517501524
        18. \n", + "\t
      18. 7.49909633645272
        19. \n", + "\t
      19. 3.88791571798409
        20. \n", + "\t
      20. 3.39291548346206
        21. \n", + "\t
      21. 6.52398583590136
        22. \n", + "\t
      22. 5.82068641581638
        23. \n", + "\t
      23. 1.88448816200498
        24. \n", + "\t
      24. 6.9996293202302
        25. \n", + "\t
      25. 2.94581113546276
        26. \n", + "\t
      26. 2.98462290516705
        27. \n", + "\t
      27. 5.24701784573838
        28. \n", + "\t
      28. 9.4624573873137
        29. \n", + "\t
      29. 3.89519395609726
        30. \n", + "\t
      30. 6.04917469685809
        31. \n", + "\t
      31. 1.17184398779609
        32. \n", + "\t
      32. 2.09632299096999
        33. \n", + "\t
      33. 5.83404614641835
        34. \n", + "\t
      34. 4.49378648114046
        35. \n", + "\t
      35. 4.90411760098554
        36. \n", + "\t
      36. 4.17771580127098
        37. \n", + "\t
      37. 1.12011874595415
        38. \n", + "\t
      38. 6.71922511181773
        39. \n", + "\t
      39. 6.56029046602492
        40. \n", + "\t
      40. 5.77823146324341
        41. \n", + "\t
      41. 1.18169764016681
        42. \n", + "\t
      42. 3.3959776268072
        43. \n", + "\t
      43. 1.55353329997712
        44. \n", + "\t
      44. 2.91907170071437
        45. \n", + "\t
      45. 3.15980269862428
        46. \n", + "\t
      46. 5.16885720216904
        47. \n", + "\t
      47. 4.20295487365308
        48. \n", + "\t
      48. 5.73298387720494
        49. \n", + "\t
      49. 7.20110593745962
        50. \n", + "\t
      50. 6.72671278898321
        51. \n", + "\t
      51. 4.89220728170892
        52. \n", + "\t
      52. 2.95752148517724
        53. \n", + "\t
      53. 5.23400640443431
        54. \n", + "\t
      54. 5.24706797197223
        55. \n", + "\t
      55. 8.07053094010974
        56. \n", + "\t
      56. 5.39077403418019
        57. \n", + "\t
      57. 4.94612275430312
        58. \n", + "\t
      58. 6.98921268426537
        59. \n", + "\t
      59. 6.74180170539001
        60. \n", + "\t
      60. 2.46856701923259
        61. \n", + "\t
      61. 2.05314935680938
        62. \n", + "\t
      62. 0.664213266528252
        63. \n", + "\t
      63. 4.15146438927575
        64. \n", + "\t
      64. 4.40619938450004
        65. \n", + "\t
      65. 5.59116931639924
        66. \n", + "\t
      66. 5.4996476113026
        67. \n", + "\t
      67. 3.98565407995363
        68. \n", + "\t
      68. 6.57034924355125
        69. \n", + "\t
      69. 5.73833164183752
        70. \n", + "\t
      70. 3.22903687578367
        71. \n", + "\t
      71. 1.89893086162596
        72. \n", + "\t
      72. 5.06764320009625
        73. \n", + "\t
      73. 7.00194595070256
        74. \n", + "\t
      74. 4.87633210636174
        75. \n", + "\t
      75. 6.36836011067803
        76. \n", + "\t
      76. 7.04738657120307
        77. \n", + "\t
      77. 3.24902866198548
        78. \n", + "\t
      78. 1.46507492193145
        79. \n", + "\t
      79. 6.09989749949227
        80. \n", + "\t
      80. 4.91630069778155
        81. \n", + "\t
      81. 9.06723018511598
        82. \n", + "\t
      82. 2.20868751361403
        83. \n", + "\t
      83. 4.90224226282898
        84. \n", + "\t
      84. 2.23957132769024
        85. \n", + "\t
      85. 5.81939358050052
        86. \n", + "\t
      86. 6.22800421807679
        87. \n", + "\t
      87. 5.24533020138131
        88. \n", + "\t
      88. 4.62245841765234
        89. \n", + "\t
      89. 3.49522595047179
        90. \n", + "\t
      90. 11.3229025390162
        91. \n", + "\t
      91. 5.22262513652963
        92. \n", + "\t
      92. 1.7424160484204
        93. \n", + "\t
      93. 5.07420700077012
        94. \n", + "\t
      94. 5.46207589904378
        95. \n", + "\t
      95. 8.80704214676036
        96. \n", + "\t
      96. 5.02136435674853
        97. \n", + "\t
      97. 2.20127915173511
        98. \n", + "\t
      98. 3.64108011822588
        99. \n", + "\t
      99. 6.92921868967856
        100. \n", + "\t
      100. 3.11499442495177
        101. \n", + "
      \n", + "
      48. \n", + "\t
      48. \n", + "\t
      1. 3.29018594528678
        2. \n", + "\t
      2. 2.74858597410641
        3. \n", + "\t
      3. 6.28373704384427
        4. \n", + "\t
      4. 7.24618560714668
        5. \n", + "\t
      5. 3.56663205820297
        6. \n", + "\t
      6. 6.746433278411
        7. \n", + "\t
      7. 6.5411088245354
        8. \n", + "\t
      8. 4.8719931215367
        9. \n", + "\t
      9. 9.54403308277855
        10. \n", + "\t
      10. 6.69896249396305
        11. \n", + "\t
      11. 6.61826124941631
        12. \n", + "\t
      12. 1.88148831920791
        13. \n", + "\t
      13. 4.86690164833247
        14. \n", + "\t
      14. 7.73075121745127
        15. \n", + "\t
      15. 6.71379221192411
        16. \n", + "\t
      16. 1.11303860810152
        17. \n", + "\t
      17. 3.67355295445451
        18. \n", + "\t
      18. 2.867284082212
        19. \n", + "\t
      19. 2.52015849372577
        20. \n", + "\t
      20. 10.3809664236255
        21. \n", + "\t
      21. 6.8651338179395
        22. \n", + "\t
      22. 10.5286323895826
        23. \n", + "\t
      23. 7.37230110557546
        24. \n", + "\t
      24. 5.19769298165003
        25. \n", + "\t
      25. 7.1006743302209
        26. \n", + "\t
      26. 9.54606045808573
        27. \n", + "\t
      27. 3.74545414051445
        28. \n", + "\t
      28. 3.25147105156589
        29. \n", + "\t
      29. 1.6406686219361
        30. \n", + "\t
      30. 3.60217191525324
        31. \n", + "\t
      31. 3.13822741784479
        32. \n", + "\t
      32. 1.46931358402602
        33. \n", + "\t
      33. 4.10528470054341
        34. \n", + "\t
      34. 4.16201266222305
        35. \n", + "\t
      35. 4.00813515622213
        36. \n", + "\t
      36. 3.22472068207239
        37. \n", + "\t
      37. 4.15033529605838
        38. \n", + "\t
      38. 4.92342093923536
        39. \n", + "\t
      39. 4.55103095086042
        40. \n", + "\t
      40. 6.85246643155283
        41. \n", + "\t
      41. 4.89032575794915
        42. \n", + "\t
      42. 3.55321613585724
        43. \n", + "\t
      43. 1.79381006929284
        44. \n", + "\t
      44. 6.33235886284722
        45. \n", + "\t
      45. 2.04371210396659
        46. \n", + "\t
      46. 0.827470814702051
        47. \n", + "\t
      47. 3.64086722386498
        48. \n", + "\t
      48. 3.20259392721648
        49. \n", + "\t
      49. 3.95924662686268
        50. \n", + "\t
      50. 4.6907942383136
        51. \n", + "\t
      51. 2.12795782345539
        52. \n", + "\t
      52. 7.43448323375511
        53. \n", + "\t
      53. 2.0290381517754
        54. \n", + "\t
      54. 4.89082743712115
        55. \n", + "\t
      55. 6.42454266053811
        56. \n", + "\t
      56. 5.88308265402213
        57. \n", + "\t
      57. 6.0163963739799
        58. \n", + "\t
      58. 5.16777186746668
        59. \n", + "\t
      59. 8.07134092871429
        60. \n", + "\t
      60. 2.73480755805057
        61. \n", + "\t
      61. 8.23474229884824
        62. \n", + "\t
      62. 4.09081107687803
        63. \n", + "\t
      63. 6.91532791895582
        64. \n", + "\t
      64. 5.84021702076581
        65. \n", + "\t
      65. 2.62497137850558
        66. \n", + "\t
      66. 11.1679165105911
        67. \n", + "\t
      67. 7.96772305490286
        68. \n", + "\t
      68. 6.24031933189929
        69. \n", + "\t
      69. 8.17202290530555
        70. \n", + "\t
      70. 5.31420052043569
        71. \n", + "\t
      71. 7.17005243124254
        72. \n", + "\t
      72. 10.0290625597708
        73. \n", + "\t
      73. 1.74284582140374
        74. \n", + "\t
      74. 0.909379223091019
        75. \n", + "\t
      75. 1.60458820321889
        76. \n", + "\t
      76. 6.69195037673498
        77. \n", + "\t
      77. 4.51632713348854
        78. \n", + "\t
      78. 3.74551427845888
        79. \n", + "\t
      79. 7.24060295769416
        80. \n", + "\t
      80. 1.18939299725195
        81. \n", + "\t
      81. 6.61395900230622
        82. \n", + "\t
      82. 7.56304721541336
        83. \n", + "\t
      83. 2.86991346849324
        84. \n", + "\t
      84. 2.34821756369249
        85. \n", + "\t
      85. 3.78593296323931
        86. \n", + "\t
      86. 8.09719880665781
        87. \n", + "\t
      87. 7.11488272651814
        88. \n", + "\t
      88. 11.51369554633
        89. \n", + "\t
      89. 0.885879057185274
        90. \n", + "\t
      90. 7.83873386986955
        91. \n", + "\t
      91. 6.88042104860041
        92. \n", + "\t
      92. 2.41112920577529
        93. \n", + "\t
      93. 8.06144873025108
        94. \n", + "\t
      94. 6.6799195432932
        95. \n", + "\t
      95. 7.62505006162027
        96. \n", + "\t
      96. 4.78229684263736
        97. \n", + "\t
      97. 1.90193308182939
        98. \n", + "\t
      98. 3.76948368660541
        99. \n", + "\t
      99. 1.60361729697796
        100. \n", + "\t
      100. 2.95026679163107
        101. \n", + "
      \n", + "
      49. \n", + "\t
      49. \n", + "\t
      1. 4.80705812683463
        2. \n", + "\t
      2. 6.08701369730548
        3. \n", + "\t
      3. 5.93390415094762
        4. \n", + "\t
      4. 8.47383582675391
        5. \n", + "\t
      5. 3.11507792779037
        6. \n", + "\t
      6. 4.98352042443957
        7. \n", + "\t
      7. 4.9759940691067
        8. \n", + "\t
      8. 1.1868671483268
        9. \n", + "\t
      9. 2.16795860347416
        10. \n", + "\t
      10. 6.2149180118021
        11. \n", + "\t
      11. 8.00944643744338
        12. \n", + "\t
      12. 4.14628949839957
        13. \n", + "\t
      13. 5.18738189068477
        14. \n", + "\t
      14. 1.92393813331498
        15. \n", + "\t
      15. 6.30048956087505
        16. \n", + "\t
      16. 2.47640856418955
        17. \n", + "\t
      17. 12.514240595556
        18. \n", + "\t
      18. 7.79807597201529
        19. \n", + "\t
      19. 1.85210327579242
        20. \n", + "\t
      20. 4.39828544217799
        21. \n", + "\t
      21. 3.23481581393886
        22. \n", + "\t
      22. 4.63140757177779
        23. \n", + "\t
      23. 9.29103965783498
        24. \n", + "\t
      24. 5.37867805918241
        25. \n", + "\t
      25. 6.03685612508994
        26. \n", + "\t
      26. 4.03219281096064
        27. \n", + "\t
      27. 3.61832420188844
        28. \n", + "\t
      28. 2.56612216603191
        29. \n", + "\t
      29. 12.5737608415453
        30. \n", + "\t
      30. 5.2842079537587
        31. \n", + "\t
      31. 9.0808284101165
        32. \n", + "\t
      32. 5.59773414207521
        33. \n", + "\t
      33. 3.15914277466166
        34. \n", + "\t
      34. 2.42794438548334
        35. \n", + "\t
      35. 6.51757331368299
        36. \n", + "\t
      36. 4.80734727915296
        37. \n", + "\t
      37. 5.35155534385206
        38. \n", + "\t
      38. 5.07620015458185
        39. \n", + "\t
      39. 4.33188447713602
        40. \n", + "\t
      40. 3.8556525955707
        41. \n", + "\t
      41. 5.58276971416697
        42. \n", + "\t
      42. 8.0748001151271
        43. \n", + "\t
      43. 4.16632897180288
        44. \n", + "\t
      44. 2.23245369313556
        45. \n", + "\t
      45. 2.35669573583229
        46. \n", + "\t
      46. 7.19705924358027
        47. \n", + "\t
      47. 2.50939245551256
        48. \n", + "\t
      48. 5.41731553907087
        49. \n", + "\t
      49. 3.92920534124047
        50. \n", + "\t
      50. 7.61113507984915
        51. \n", + "\t
      51. 3.22559446803711
        52. \n", + "\t
      52. 6.45552257994334
        53. \n", + "\t
      53. 3.50502888669472
        54. \n", + "\t
      54. 5.19176339549297
        55. \n", + "\t
      55. 2.34769607725642
        56. \n", + "\t
      56. 4.24197028237465
        57. \n", + "\t
      57. 1.8718263411339
        58. \n", + "\t
      58. 1.42583364072489
        59. \n", + "\t
      59. 5.45871156335827
        60. \n", + "\t
      60. 9.58919857387634
        61. \n", + "\t
      61. 10.3008603637234
        62. \n", + "\t
      62. 6.72701119301074
        63. \n", + "\t
      63. 3.73605591495286
        64. \n", + "\t
      64. 6.66210370406545
        65. \n", + "\t
      65. 4.51756766960191
        66. \n", + "\t
      66. 2.91383145445269
        67. \n", + "\t
      67. 9.65653186103523
        68. \n", + "\t
      68. 5.70116117589217
        69. \n", + "\t
      69. 3.96285275385494
        70. \n", + "\t
      70. 6.35284121015937
        71. \n", + "\t
      71. 4.9177909155777
        72. \n", + "\t
      72. 3.72032185005636
        73. \n", + "\t
      73. 3.93773520600317
        74. \n", + "\t
      74. 3.40539512316846
        75. \n", + "\t
      75. 4.22270345743361
        76. \n", + "\t
      76. 3.2849417689303
        77. \n", + "\t
      77. 5.43674981534366
        78. \n", + "\t
      78. 3.04095863782941
        79. \n", + "\t
      79. 7.08903391103307
        80. \n", + "\t
      80. 2.15559832313309
        81. \n", + "\t
      81. 2.58202420336142
        82. \n", + "\t
      82. 5.93643164673663
        83. \n", + "\t
      83. 2.01645478984271
        84. \n", + "\t
      84. 3.65395665726495
        85. \n", + "\t
      85. 4.07137118303471
        86. \n", + "\t
      86. 4.97419799229012
        87. \n", + "\t
      87. 6.40293607995475
        88. \n", + "\t
      88. 1.36629559000596
        89. \n", + "\t
      89. 9.95674390958543
        90. \n", + "\t
      90. 3.99027319908222
        91. \n", + "\t
      91. 8.04732185607923
        92. \n", + "\t
      92. 5.97761864328017
        93. \n", + "\t
      93. 8.94527966535557
        94. \n", + "\t
      94. 9.20128209839692
        95. \n", + "\t
      95. 2.07842421185544
        96. \n", + "\t
      96. 2.31466618234215
        97. \n", + "\t
      97. 3.40351371637512
        98. \n", + "\t
      98. 2.53266292481788
        99. \n", + "\t
      99. 6.53622892022765
        100. \n", + "\t
      100. 6.62403565061546
        101. \n", + "
      \n", + "
      50. \n", + "\t
      50. \n", + "\t
      1. 3.76317069975526
        2. \n", + "\t
      2. 7.1831791711543
        3. \n", + "\t
      3. 4.49564856238801
        4. \n", + "\t
      4. 4.7767124017155
        5. \n", + "\t
      5. 8.01510378290916
        6. \n", + "\t
      6. 6.59927817474108
        7. \n", + "\t
      7. 8.28116838527874
        8. \n", + "\t
      8. 8.0534740470152
        9. \n", + "\t
      9. 10.0832555177232
        10. \n", + "\t
      10. 9.9819983724
        11. \n", + "\t
      11. 6.27350587538483
        12. \n", + "\t
      12. 5.02090656078867
        13. \n", + "\t
      13. 3.8021155422221
        14. \n", + "\t
      14. 3.79212373230579
        15. \n", + "\t
      15. 2.03050194608617
        16. \n", + "\t
      16. 6.71529097851699
        17. \n", + "\t
      17. 4.90389207711539
        18. \n", + "\t
      18. 7.93734487135494
        19. \n", + "\t
      19. 7.24455653315401
        20. \n", + "\t
      20. 12.4130787083219
        21. \n", + "\t
      21. 2.47793120561492
        22. \n", + "\t
      22. 2.42496676969074
        23. \n", + "\t
      23. 7.16954362553062
        24. \n", + "\t
      24. 11.6520524008057
        25. \n", + "\t
      25. 4.02368642149904
        26. \n", + "\t
      26. 4.015431173557
        27. \n", + "\t
      27. 5.85859424022021
        28. \n", + "\t
      28. 10.0684153728541
        29. \n", + "\t
      29. 4.89704579976772
        30. \n", + "\t
      30. 10.0209010088205
        31. \n", + "\t
      31. 2.61563661883966
        32. \n", + "\t
      32. 5.50537368416501
        33. \n", + "\t
      33. 9.84264846848279
        34. \n", + "\t
      34. 4.49176733596273
        35. \n", + "\t
      35. 4.05018340036906
        36. \n", + "\t
      36. 1.52153211128383
        37. \n", + "\t
      37. 6.33607577805167
        38. \n", + "\t
      38. 5.99480506166079
        39. \n", + "\t
      39. 1.8007405681078
        40. \n", + "\t
      40. 5.25373664806903
        41. \n", + "\t
      41. 7.02802920875418
        42. \n", + "\t
      42. 13.5203914694556
        43. \n", + "\t
      43. 3.39219794507707
        44. \n", + "\t
      44. 3.27116087524274
        45. \n", + "\t
      45. 3.66984019958543
        46. \n", + "\t
      46. 1.65711653157693
        47. \n", + "\t
      47. 10.5821525319764
        48. \n", + "\t
      48. 9.01161819928802
        49. \n", + "\t
      49. 4.90744689227518
        50. \n", + "\t
      50. 10.1413451958681
        51. \n", + "\t
      51. 1.82256014351856
        52. \n", + "\t
      52. 6.21168443362847
        53. \n", + "\t
      53. 3.83710859269688
        54. \n", + "\t
      54. 3.65307983589856
        55. \n", + "\t
      55. 7.89420595090439
        56. \n", + "\t
      56. 5.87155104407679
        57. \n", + "\t
      57. 7.84046606709492
        58. \n", + "\t
      58. 4.5914553817661
        59. \n", + "\t
      59. 3.56147878729408
        60. \n", + "\t
      60. 3.70797292206402
        61. \n", + "\t
      61. 4.68830638804582
        62. \n", + "\t
      62. 0.725220276371636
        63. \n", + "\t
      63. 9.76748764488442
        64. \n", + "\t
      64. 5.68225186430163
        65. \n", + "\t
      65. 7.69761030595376
        66. \n", + "\t
      66. 6.73174159469308
        67. \n", + "\t
      67. 5.61182158330789
        68. \n", + "\t
      68. 4.74948282228967
        69. \n", + "\t
      69. 5.18168105446703
        70. \n", + "\t
      70. 7.31961738078768
        71. \n", + "\t
      71. 13.1160986576469
        72. \n", + "\t
      72. 6.63529463967231
        73. \n", + "\t
      73. 8.3019112409521
        74. \n", + "\t
      74. 3.65267280799644
        75. \n", + "\t
      75. 3.55761844141873
        76. \n", + "\t
      76. 8.8848418516165
        77. \n", + "\t
      77. 5.93943240558472
        78. \n", + "\t
      78. 4.55009223067279
        79. \n", + "\t
      79. 3.5728762870801
        80. \n", + "\t
      80. 4.84045385470805
        81. \n", + "\t
      81. 8.94597241833914
        82. \n", + "\t
      82. 5.34324205835046
        83. \n", + "\t
      83. 4.70488621204955
        84. \n", + "\t
      84. 5.40903540337342
        85. \n", + "\t
      85. 6.47546298281453
        86. \n", + "\t
      86. 2.51506072169069
        87. \n", + "\t
      87. 7.43412617258909
        88. \n", + "\t
      88. 3.88280593657281
        89. \n", + "\t
      89. 6.13563789761222
        90. \n", + "\t
      90. 6.69532494014908
        91. \n", + "\t
      91. 5.86027228066154
        92. \n", + "\t
      92. 6.1962783535831
        93. \n", + "\t
      93. 5.54196079335622
        94. \n", + "\t
      94. 4.72095419043167
        95. \n", + "\t
      95. 2.59840835892671
        96. \n", + "\t
      96. 1.53878130183588
        97. \n", + "\t
      97. 3.85222724225784
        98. \n", + "\t
      98. 8.64337733282315
        99. \n", + "\t
      99. 6.99355200448447
        100. \n", + "\t
      100. 6.12040281725141
        101. \n", + "
      \n", + "
      51. \n", + "\t
      51. \n", + "\t
      1. 5.19417088891776
        2. \n", + "\t
      2. 2.2871361522338
        3. \n", + "\t
      3. 0.679774801361675
        4. \n", + "\t
      4. 2.05225567985814
        5. \n", + "\t
      5. 0.779713142756139
        6. \n", + "\t
      6. 3.08883170931253
        7. \n", + "\t
      7. 3.70907621076747
        8. \n", + "\t
      8. 2.2543868172092
        9. \n", + "\t
      9. 5.97259294835788
        10. \n", + "\t
      10. 1.40130930039713
        11. \n", + "\t
      11. 2.63579021219973
        12. \n", + "\t
      12. 3.67505519295688
        13. \n", + "\t
      13. 5.34971125618013
        14. \n", + "\t
      14. 0.56875626094675
        15. \n", + "\t
      15. 5.72599865359192
        16. \n", + "\t
      16. 4.82251934710826
        17. \n", + "\t
      17. 2.08059611666948
        18. \n", + "\t
      18. 2.82091763716046
        19. \n", + "\t
      19. 3.74605024573124
        20. \n", + "\t
      20. 1.89009635423139
        21. \n", + "\t
      21. 0.881162948060852
        22. \n", + "\t
      22. 3.46842032688795
        23. \n", + "\t
      23. 1.41049819174675
        24. \n", + "\t
      24. 5.28590230685012
        25. \n", + "\t
      25. 5.32822350965064
        26. \n", + "\t
      26. 3.28604511140507
        27. \n", + "\t
      27. 0.761776026468188
        28. \n", + "\t
      28. 1.28785764395234
        29. \n", + "\t
      29. 5.58687159090772
        30. \n", + "\t
      30. 3.08201069040116
        31. \n", + "\t
      31. 7.29591114463368
        32. \n", + "\t
      32. 2.40304577135083
        33. \n", + "\t
      33. 0.290283643668053
        34. \n", + "\t
      34. 1.45341473612424
        35. \n", + "\t
      35. 0.831780931941483
        36. \n", + "\t
      36. 2.84075088611898
        37. \n", + "\t
      37. 2.24672776674352
        38. \n", + "\t
      38. 4.78436845910098
        39. \n", + "\t
      39. 5.05138445926757
        40. \n", + "\t
      40. 1.63760117401837
        41. \n", + "\t
      41. 5.2538892662395
        42. \n", + "\t
      42. 5.47366090324801
        43. \n", + "\t
      43. 2.47076237255017
        44. \n", + "\t
      44. 6.65038828659512
        45. \n", + "\t
      45. 2.3345680278394
        46. \n", + "\t
      46. 3.02212666995827
        47. \n", + "\t
      47. 1.45220042499738
        48. \n", + "\t
      48. 2.96069288394743
        49. \n", + "\t
      49. 4.10115314756586
        50. \n", + "\t
      50. 2.66837590978763
        51. \n", + "\t
      51. 3.34737022034292
        52. \n", + "\t
      52. 1.1912245920001
        53. \n", + "\t
      53. 2.14044072605165
        54. \n", + "\t
      54. 2.21071397216232
        55. \n", + "\t
      55. 5.30981650987532
        56. \n", + "\t
      56. 1.76238050641008
        57. \n", + "\t
      57. 0.782065638753083
        58. \n", + "\t
      58. 0.647380275190045
        59. \n", + "\t
      59. 3.48374272556699
        60. \n", + "\t
      60. 5.69351240130015
        61. \n", + "\t
      61. 3.97069174587926
        62. \n", + "\t
      62. 5.2971227625359
        63. \n", + "\t
      63. 0.808371844644958
        64. \n", + "\t
      64. 4.55116370071218
        65. \n", + "\t
      65. 0.987219185580793
        66. \n", + "\t
      66. 3.51973383090302
        67. \n", + "\t
      67. 3.29566660015398
        68. \n", + "\t
      68. 0.564801003169283
        69. \n", + "\t
      69. 2.68238721513763
        70. \n", + "\t
      70. 5.54782286150354
        71. \n", + "\t
      71. 3.87623644600998
        72. \n", + "\t
      72. 6.26916279271161
        73. \n", + "\t
      73. 4.25022422592809
        74. \n", + "\t
      74. 3.06722570314198
        75. \n", + "\t
      75. 3.37663231855255
        76. \n", + "\t
      76. 3.94374282305928
        77. \n", + "\t
      77. 2.30991997048493
        78. \n", + "\t
      78. 5.12545783416818
        79. \n", + "\t
      79. 3.2663973070425
        80. \n", + "\t
      80. 0.748630603280257
        81. \n", + "\t
      81. 4.67058526197848
        82. \n", + "\t
      82. 5.4771287918864
        83. \n", + "\t
      83. 1.2948929617072
        84. \n", + "\t
      84. 4.42170377274506
        85. \n", + "\t
      85. 5.0463911697119
        86. \n", + "\t
      86. 4.16660911805417
        87. \n", + "\t
      87. 3.31912685874651
        88. \n", + "\t
      88. 1.987965515836
        89. \n", + "\t
      89. 3.91489095610844
        90. \n", + "\t
      90. 4.07264652165732
        91. \n", + "\t
      91. 5.76857153370532
        92. \n", + "\t
      92. 0.769950109557288
        93. \n", + "\t
      93. 1.75457454435408
        94. \n", + "\t
      94. 1.71216794325083
        95. \n", + "\t
      95. 3.21065777345466
        96. \n", + "\t
      96. 2.87169511325158
        97. \n", + "\t
      97. 6.51305887352054
        98. \n", + "\t
      98. 1.51462734953215
        99. \n", + "\t
      99. 3.25673325654825
        100. \n", + "\t
      100. 4.1104485399685
        101. \n", + "
      \n", + "
      52. \n", + "\t
      52. \n", + "\t
      1. 3.02488083646349
        2. \n", + "\t
      2. 3.73159510892928
        3. \n", + "\t
      3. 2.80493384908392
        4. \n", + "\t
      4. 8.1852536050024
        5. \n", + "\t
      5. 5.01798146164366
        6. \n", + "\t
      6. 2.10767963049886
        7. \n", + "\t
      7. 1.74237572141413
        8. \n", + "\t
      8. 5.94774946719833
        9. \n", + "\t
      9. 1.62145508866295
        10. \n", + "\t
      10. 4.29622779771547
        11. \n", + "\t
      11. 1.56313380705647
        12. \n", + "\t
      12. 3.58118256329611
        13. \n", + "\t
      13. 3.77112945290628
        14. \n", + "\t
      14. 4.12017304655743
        15. \n", + "\t
      15. 2.83445535876262
        16. \n", + "\t
      16. 4.2135291412547
        17. \n", + "\t
      17. 4.60680191063652
        18. \n", + "\t
      18. 3.97976275020633
        19. \n", + "\t
      19. 9.11622058138541
        20. \n", + "\t
      20. 6.40836011448967
        21. \n", + "\t
      21. 0.867030034456647
        22. \n", + "\t
      22. 7.11350173197435
        23. \n", + "\t
      23. 2.08380491242501
        24. \n", + "\t
      24. 2.98457945028507
        25. \n", + "\t
      25. 4.25893193758957
        26. \n", + "\t
      26. 2.22190346043347
        27. \n", + "\t
      27. 2.20320660423801
        28. \n", + "\t
      28. 5.23965715482302
        29. \n", + "\t
      29. 8.30856143891353
        30. \n", + "\t
      30. 3.21975835052143
        31. \n", + "\t
      31. 5.26498922420811
        32. \n", + "\t
      32. 8.30497945782676
        33. \n", + "\t
      33. 5.68968419215223
        34. \n", + "\t
      34. 4.490667599913
        35. \n", + "\t
      35. 1.26998725110764
        36. \n", + "\t
      36. 2.74755774701541
        37. \n", + "\t
      37. 2.59529294867277
        38. \n", + "\t
      38. 1.33976170482887
        39. \n", + "\t
      39. 6.36663959367437
        40. \n", + "\t
      40. 1.46119387276551
        41. \n", + "\t
      41. 6.62741742600337
        42. \n", + "\t
      42. 3.54922929831604
        43. \n", + "\t
      43. 5.34612715231404
        44. \n", + "\t
      44. 4.18659813612547
        45. \n", + "\t
      45. 4.98491827816205
        46. \n", + "\t
      46. 7.27936524622893
        47. \n", + "\t
      47. 10.005082033407
        48. \n", + "\t
      48. 4.43398686372787
        49. \n", + "\t
      49. 4.36164794916997
        50. \n", + "\t
      50. 6.3533558604012
        51. \n", + "\t
      51. 2.78294105570412
        52. \n", + "\t
      52. 1.18038166330845
        53. \n", + "\t
      53. 3.86503420501389
        54. \n", + "\t
      54. 8.32858001888716
        55. \n", + "\t
      55. 0.910359959983116
        56. \n", + "\t
      56. 6.94273875380493
        57. \n", + "\t
      57. 5.65432396770852
        58. \n", + "\t
      58. 7.69570876050186
        59. \n", + "\t
      59. 6.59496829617151
        60. \n", + "\t
      60. 6.5911883994096
        61. \n", + "\t
      61. 2.09628857470672
        62. \n", + "\t
      62. 7.98238791136817
        63. \n", + "\t
      63. 5.59949028947155
        64. \n", + "\t
      64. 2.16599570649141
        65. \n", + "\t
      65. 7.96786304674835
        66. \n", + "\t
      66. 4.96737489095177
        67. \n", + "\t
      67. 6.13169814280616
        68. \n", + "\t
      68. 4.59190369183603
        69. \n", + "\t
      69. 3.10346874060386
        70. \n", + "\t
      70. 2.25523425233648
        71. \n", + "\t
      71. 1.11226840781942
        72. \n", + "\t
      72. 2.41388907588139
        73. \n", + "\t
      73. 4.33442536764114
        74. \n", + "\t
      74. 4.30817528548906
        75. \n", + "\t
      75. 6.53105828335764
        76. \n", + "\t
      76. 2.39612544675883
        77. \n", + "\t
      77. 6.32906069419478
        78. \n", + "\t
      78. 2.04068782330049
        79. \n", + "\t
      79. 5.99973051383474
        80. \n", + "\t
      80. 6.11239250351934
        81. \n", + "\t
      81. 1.54427925874214
        82. \n", + "\t
      82. 7.73955414939108
        83. \n", + "\t
      83. 4.36606058296682
        84. \n", + "\t
      84. 1.09477803986556
        85. \n", + "\t
      85. 8.02021140811357
        86. \n", + "\t
      86. 5.87840538665074
        87. \n", + "\t
      87. 3.50634834389652
        88. \n", + "\t
      88. 6.9089536668706
        89. \n", + "\t
      89. 1.56740678877387
        90. \n", + "\t
      90. 7.05520488314828
        91. \n", + "\t
      91. 2.21660223696367
        92. \n", + "\t
      92. 5.93306844705508
        93. \n", + "\t
      93. 6.49757397317282
        94. \n", + "\t
      94. 5.67575075288523
        95. \n", + "\t
      95. 3.26185913687731
        96. \n", + "\t
      96. 2.15603452408512
        97. \n", + "\t
      97. 3.5938627198279
        98. \n", + "\t
      98. 6.68551191668476
        99. \n", + "\t
      99. 1.19622235575279
        100. \n", + "\t
      100. 4.20212383211546
        101. \n", + "
      \n", + "
      53. \n", + "\t
      53. \n", + "\t
      1. 1.42810994127873
        2. \n", + "\t
      2. 7.69336063503309
        3. \n", + "\t
      3. 2.15966481540097
        4. \n", + "\t
      4. 3.49634921437344
        5. \n", + "\t
      5. 2.43741667824449
        6. \n", + "\t
      6. 4.83432895696056
        7. \n", + "\t
      7. 2.38212175488671
        8. \n", + "\t
      8. 4.158302546621
        9. \n", + "\t
      9. 4.45718394111658
        10. \n", + "\t
      10. 1.99295470551462
        11. \n", + "\t
      11. 3.76381241942403
        12. \n", + "\t
      12. 2.87313383838821
        13. \n", + "\t
      13. 2.9377268215731
        14. \n", + "\t
      14. 3.44170715318392
        15. \n", + "\t
      15. 1.25761360053628
        16. \n", + "\t
      16. 2.36960458962931
        17. \n", + "\t
      17. 2.939148789467
        18. \n", + "\t
      18. 0.918712300678549
        19. \n", + "\t
      19. 4.52710833653553
        20. \n", + "\t
      20. 0.667503298989695
        21. \n", + "\t
      21. 2.24897648001855
        22. \n", + "\t
      22. 0.749932385188394
        23. \n", + "\t
      23. 2.11855089097482
        24. \n", + "\t
      24. 2.58913812809023
        25. \n", + "\t
      25. 2.64777577339276
        26. \n", + "\t
      26. 5.61893467235954
        27. \n", + "\t
      27. 3.61070136271418
        28. \n", + "\t
      28. 2.27347335624206
        29. \n", + "\t
      29. 2.4426261783569
        30. \n", + "\t
      30. 0.46568089047539
        31. \n", + "\t
      31. 5.74591030088692
        32. \n", + "\t
      32. 2.80564163184403
        33. \n", + "\t
      33. 1.33045401834608
        34. \n", + "\t
      34. 0.857947055239081
        35. \n", + "\t
      35. 8.65432106957239
        36. \n", + "\t
      36. 3.02494688709284
        37. \n", + "\t
      37. 1.51337622290857
        38. \n", + "\t
      38. 4.39679792545408
        39. \n", + "\t
      39. 3.97059295613202
        40. \n", + "\t
      40. 3.07523097741566
        41. \n", + "\t
      41. 6.23180444331321
        42. \n", + "\t
      42. 2.38319268771275
        43. \n", + "\t
      43. 2.90407857171519
        44. \n", + "\t
      44. 7.00310035359335
        45. \n", + "\t
      45. 6.07775351298758
        46. \n", + "\t
      46. 7.52585395686329
        47. \n", + "\t
      47. 5.22164273674363
        48. \n", + "\t
      48. 4.40908844847536
        49. \n", + "\t
      49. 4.9909274139404
        50. \n", + "\t
      50. 1.47173765788406
        51. \n", + "\t
      51. 5.67143944351649
        52. \n", + "\t
      52. 2.00358063962788
        53. \n", + "\t
      53. 4.09474462932746
        54. \n", + "\t
      54. 2.48282881414053
        55. \n", + "\t
      55. 1.21148788419132
        56. \n", + "\t
      56. 1.19791976691396
        57. \n", + "\t
      57. 0.842587487794357
        58. \n", + "\t
      58. 1.33868938203638
        59. \n", + "\t
      59. 3.30076735582941
        60. \n", + "\t
      60. 5.13271743090348
        61. \n", + "\t
      61. 0.843623553434265
        62. \n", + "\t
      62. 3.83171268173889
        63. \n", + "\t
      63. 1.39923269403833
        64. \n", + "\t
      64. 4.23521963930353
        65. \n", + "\t
      65. 3.25598025142292
        66. \n", + "\t
      66. 5.40300331305851
        67. \n", + "\t
      67. 5.00945354523112
        68. \n", + "\t
      68. 1.30708798311266
        69. \n", + "\t
      69. 2.9078654243104
        70. \n", + "\t
      70. 4.79262545142566
        71. \n", + "\t
      71. 1.73523358735081
        72. \n", + "\t
      72. 3.69205959011918
        73. \n", + "\t
      73. 2.4142878049985
        74. \n", + "\t
      74. 3.44638117788277
        75. \n", + "\t
      75. 1.25462831526234
        76. \n", + "\t
      76. 2.81741011520061
        77. \n", + "\t
      77. 2.12283324882736
        78. \n", + "\t
      78. 5.90626779478356
        79. \n", + "\t
      79. 4.1982477524113
        80. \n", + "\t
      80. 5.22749503316004
        81. \n", + "\t
      81. 4.45431400201445
        82. \n", + "\t
      82. 6.33596188505287
        83. \n", + "\t
      83. 8.64853898050428
        84. \n", + "\t
      84. 6.40576482639104
        85. \n", + "\t
      85. 5.50227711162324
        86. \n", + "\t
      86. 2.24691378113233
        87. \n", + "\t
      87. 1.90083065837221
        88. \n", + "\t
      88. 2.49124361400976
        89. \n", + "\t
      89. 2.88965261830708
        90. \n", + "\t
      90. 2.3381504822228
        91. \n", + "\t
      91. 1.95613520323659
        92. \n", + "\t
      92. 2.94508840120582
        93. \n", + "\t
      93. 3.1009309497305
        94. \n", + "\t
      94. 6.55335119333631
        95. \n", + "\t
      95. 2.21751238922745
        96. \n", + "\t
      96. 1.15478468344583
        97. \n", + "\t
      97. 6.24010267089282
        98. \n", + "\t
      98. 4.06780601600816
        99. \n", + "\t
      99. 0.997289758360299
        100. \n", + "\t
      100. 5.5156803429924
        101. \n", + "
      \n", + "
      54. \n", + "\t
      54. \n", + "\t
      1. 1.17849433445835
        2. \n", + "\t
      2. 1.42311795473354
        3. \n", + "\t
      3. 4.2913945983718
        4. \n", + "\t
      4. 5.43161399387855
        5. \n", + "\t
      5. 2.1440840560127
        6. \n", + "\t
      6. 3.63129428813079
        7. \n", + "\t
      7. 4.55321967913906
        8. \n", + "\t
      8. 2.10759036170604
        9. \n", + "\t
      9. 3.2372557384782
        10. \n", + "\t
      10. 5.61592427252875
        11. \n", + "\t
      11. 2.35462754430874
        12. \n", + "\t
      12. 3.21534311045894
        13. \n", + "\t
      13. 2.79953305242617
        14. \n", + "\t
      14. 3.47663396199183
        15. \n", + "\t
      15. 3.86324606074997
        16. \n", + "\t
      16. 5.11119602773815
        17. \n", + "\t
      17. 2.51815238096582
        18. \n", + "\t
      18. 2.34747714818573
        19. \n", + "\t
      19. 7.61938579569172
        20. \n", + "\t
      20. 2.5251888982739
        21. \n", + "\t
      21. 4.6727705549507
        22. \n", + "\t
      22. 2.32638119103215
        23. \n", + "\t
      23. 8.37439104470335
        24. \n", + "\t
      24. 2.80265381783337
        25. \n", + "\t
      25. 2.07398406815011
        26. \n", + "\t
      26. 4.81954522967232
        27. \n", + "\t
      27. 1.28001805122134
        28. \n", + "\t
      28. 4.93938979809447
        29. \n", + "\t
      29. 6.16118200369961
        30. \n", + "\t
      30. 7.42637146555765
        31. \n", + "\t
      31. 3.18484809548174
        32. \n", + "\t
      32. 2.4515590239701
        33. \n", + "\t
      33. 4.06392214847762
        34. \n", + "\t
      34. 5.71485444883705
        35. \n", + "\t
      35. 2.46846803485329
        36. \n", + "\t
      36. 1.80402223309703
        37. \n", + "\t
      37. 5.51861555968718
        38. \n", + "\t
      38. 1.1318490868553
        39. \n", + "\t
      39. 7.52751953667376
        40. \n", + "\t
      40. 3.13353409153251
        41. \n", + "\t
      41. 5.57436521133126
        42. \n", + "\t
      42. 4.54922538876258
        43. \n", + "\t
      43. 8.11493530926096
        44. \n", + "\t
      44. 4.53349901808259
        45. \n", + "\t
      45. 7.5592210315822
        46. \n", + "\t
      46. 2.65057858097334
        47. \n", + "\t
      47. 3.15936334390074
        48. \n", + "\t
      48. 4.81925265897162
        49. \n", + "\t
      49. 1.95831137667934
        50. \n", + "\t
      50. 2.54581397361073
        51. \n", + "\t
      51. 1.54573869198052
        52. \n", + "\t
      52. 3.69876262761724
        53. \n", + "\t
      53. 2.72886854875527
        54. \n", + "\t
      54. 2.43396658034207
        55. \n", + "\t
      55. 4.86853988771045
        56. \n", + "\t
      56. 4.79809783763967
        57. \n", + "\t
      57. 3.77472860630847
        58. \n", + "\t
      58. 4.33341902911183
        59. \n", + "\t
      59. 4.83935181832022
        60. \n", + "\t
      60. 2.69344935999068
        61. \n", + "\t
      61. 2.28391744955549
        62. \n", + "\t
      62. 1.16118386443016
        63. \n", + "\t
      63. 8.70050974319628
        64. \n", + "\t
      64. 2.52926989570348
        65. \n", + "\t
      65. 3.97456297309867
        66. \n", + "\t
      66. 1.43429914866707
        67. \n", + "\t
      67. 6.56871525792142
        68. \n", + "\t
      68. 1.78794685869792
        69. \n", + "\t
      69. 4.28874293418202
        70. \n", + "\t
      70. 3.2118986797059
        71. \n", + "\t
      71. 3.82087073568703
        72. \n", + "\t
      72. 2.27151910480101
        73. \n", + "\t
      73. 7.66686801677731
        74. \n", + "\t
      74. 1.80074103754131
        75. \n", + "\t
      75. 1.16965772536333
        76. \n", + "\t
      76. 2.84547312482695
        77. \n", + "\t
      77. 2.52141725167558
        78. \n", + "\t
      78. 4.51161904447256
        79. \n", + "\t
      79. 4.53748363718499
        80. \n", + "\t
      80. 5.88158933506675
        81. \n", + "\t
      81. 4.81976275002327
        82. \n", + "\t
      82. 5.96181624675702
        83. \n", + "\t
      83. 5.77454378922271
        84. \n", + "\t
      84. 3.65944042101394
        85. \n", + "\t
      85. 2.59682352567019
        86. \n", + "\t
      86. 0.925406279656415
        87. \n", + "\t
      87. 4.6684881722571
        88. \n", + "\t
      88. 2.35809538165543
        89. \n", + "\t
      89. 7.52162525502353
        90. \n", + "\t
      90. 3.68728712057995
        91. \n", + "\t
      91. 2.96290354859619
        92. \n", + "\t
      92. 3.23735015377976
        93. \n", + "\t
      93. 11.1430481109657
        94. \n", + "\t
      94. 2.16345041859459
        95. \n", + "\t
      95. 4.8231159633836
        96. \n", + "\t
      96. 4.02150491800884
        97. \n", + "\t
      97. 1.04349980039286
        98. \n", + "\t
      98. 2.20796210318485
        99. \n", + "\t
      99. 8.74752930635048
        100. \n", + "\t
      100. 4.00927025221535
        101. \n", + "
      \n", + "
      55. \n", + "\t
      55. \n", + "\t
      1. 1.38951947043267
        2. \n", + "\t
      2. 5.68006838114836
        3. \n", + "\t
      3. 1.29564246919145
        4. \n", + "\t
      4. 1.54770885038483
        5. \n", + "\t
      5. 3.13873316025902
        6. \n", + "\t
      6. 3.00657054114868
        7. \n", + "\t
      7. 3.02977230639055
        8. \n", + "\t
      8. 1.85065019443866
        9. \n", + "\t
      9. 1.19041285996682
        10. \n", + "\t
      10. 6.3813121821584
        11. \n", + "\t
      11. 6.45572946932465
        12. \n", + "\t
      12. 4.42189584720662
        13. \n", + "\t
      13. 2.46256916223379
        14. \n", + "\t
      14. 3.19623478384782
        15. \n", + "\t
      15. 4.56250038958877
        16. \n", + "\t
      16. 4.50603382318503
        17. \n", + "\t
      17. 2.76242245742767
        18. \n", + "\t
      18. 1.66895060940212
        19. \n", + "\t
      19. 2.18344211515851
        20. \n", + "\t
      20. 2.0210169446514
        21. \n", + "\t
      21. 3.28064069029632
        22. \n", + "\t
      22. 5.98350280501373
        23. \n", + "\t
      23. 2.68335888926852
        24. \n", + "\t
      24. 10.1461138482206
        25. \n", + "\t
      25. 4.22255690413055
        26. \n", + "\t
      26. 2.29188168641124
        27. \n", + "\t
      27. 1.93626805180797
        28. \n", + "\t
      28. 4.22586775841353
        29. \n", + "\t
      29. 8.31996828088683
        30. \n", + "\t
      30. 4.66097057448897
        31. \n", + "\t
      31. 3.30697117650958
        32. \n", + "\t
      32. 4.52216182715373
        33. \n", + "\t
      33. 5.89219135566231
        34. \n", + "\t
      34. 7.31594764740891
        35. \n", + "\t
      35. 1.73053516877934
        36. \n", + "\t
      36. 1.80060714482463
        37. \n", + "\t
      37. 8.60015620825478
        38. \n", + "\t
      38. 3.60522610951693
        39. \n", + "\t
      39. 4.1161366374793
        40. \n", + "\t
      40. 4.98426509833908
        41. \n", + "\t
      41. 6.32580632029257
        42. \n", + "\t
      42. 4.17545723094349
        43. \n", + "\t
      43. 2.53782982982139
        44. \n", + "\t
      44. 3.58767556894286
        45. \n", + "\t
      45. 1.88306140714825
        46. \n", + "\t
      46. 5.58753358155897
        47. \n", + "\t
      47. 1.44349827133035
        48. \n", + "\t
      48. 1.95225364662664
        49. \n", + "\t
      49. 7.19679067996142
        50. \n", + "\t
      50. 2.33267961545993
        51. \n", + "\t
      51. 3.14593719320939
        52. \n", + "\t
      52. 0.990580813034125
        53. \n", + "\t
      53. 7.31957767221968
        54. \n", + "\t
      54. 1.34421053282171
        55. \n", + "\t
      55. 3.41101392073552
        56. \n", + "\t
      56. 2.08120746712838
        57. \n", + "\t
      57. 0.813097621385179
        58. \n", + "\t
      58. 1.39954861217336
        59. \n", + "\t
      59. 2.20701790548461
        60. \n", + "\t
      60. 1.2375668185718
        61. \n", + "\t
      61. 0.868452721990854
        62. \n", + "\t
      62. 0.668990563511504
        63. \n", + "\t
      63. 3.22108169305696
        64. \n", + "\t
      64. 5.60327708860435
        65. \n", + "\t
      65. 2.50525319493459
        66. \n", + "\t
      66. 2.13533386655492
        67. \n", + "\t
      67. 1.66360005375701
        68. \n", + "\t
      68. 9.92913574366079
        69. \n", + "\t
      69. 2.25950909420495
        70. \n", + "\t
      70. 3.13065664871288
        71. \n", + "\t
      71. 6.18548678933317
        72. \n", + "\t
      72. 1.04326030311112
        73. \n", + "\t
      73. 10.1378433742457
        74. \n", + "\t
      74. 3.24084409919539
        75. \n", + "\t
      75. 4.79740717862218
        76. \n", + "\t
      76. 6.93289385472962
        77. \n", + "\t
      77. 1.89382067264515
        78. \n", + "\t
      78. 3.43501094166429
        79. \n", + "\t
      79. 5.11184509556587
        80. \n", + "\t
      80. 6.19487711605472
        81. \n", + "\t
      81. 3.00744052740037
        82. \n", + "\t
      82. 1.49863026159409
        83. \n", + "\t
      83. 2.08914672623138
        84. \n", + "\t
      84. 2.1134323124623
        85. \n", + "\t
      85. 2.94978385218048
        86. \n", + "\t
      86. 4.17930410782543
        87. \n", + "\t
      87. 3.36983385712799
        88. \n", + "\t
      88. 8.04858926784873
        89. \n", + "\t
      89. 1.45921489396193
        90. \n", + "\t
      90. 0.73296737327898
        91. \n", + "\t
      91. 5.26674220290064
        92. \n", + "\t
      92. 4.26090526842209
        93. \n", + "\t
      93. 3.46299961385686
        94. \n", + "\t
      94. 2.84937246431611
        95. \n", + "\t
      95. 5.19800548260856
        96. \n", + "\t
      96. 3.44688269288139
        97. \n", + "\t
      97. 2.71868699498384
        98. \n", + "\t
      98. 1.16439792287698
        99. \n", + "\t
      99. 6.42497337464186
        100. \n", + "\t
      100. 3.44041123967262
        101. \n", + "
      \n", + "
      56. \n", + "\t
      56. \n", + "\t
      1. 1.8315443134787
        2. \n", + "\t
      2. 5.11210991500803
        3. \n", + "\t
      3. 4.4902067194545
        4. \n", + "\t
      4. 2.94488626849653
        5. \n", + "\t
      5. 4.0730896850403
        6. \n", + "\t
      6. 5.22795462981771
        7. \n", + "\t
      7. 5.45381769643833
        8. \n", + "\t
      8. 2.83828910788296
        9. \n", + "\t
      9. 2.48789082815837
        10. \n", + "\t
      10. 4.5213776434935
        11. \n", + "\t
      11. 3.27532193094934
        12. \n", + "\t
      12. 5.86346718032688
        13. \n", + "\t
      13. 1.63990300351242
        14. \n", + "\t
      14. 1.88435846954123
        15. \n", + "\t
      15. 3.31768627961395
        16. \n", + "\t
      16. 2.45462876884599
        17. \n", + "\t
      17. 2.86764247611679
        18. \n", + "\t
      18. 3.0890210220703
        19. \n", + "\t
      19. 4.70274446014354
        20. \n", + "\t
      20. 0.727441536720544
        21. \n", + "\t
      21. 4.52855027474199
        22. \n", + "\t
      22. 3.15978059132217
        23. \n", + "\t
      23. 1.38732620784631
        24. \n", + "\t
      24. 0.562478412625491
        25. \n", + "\t
      25. 1.51511060543077
        26. \n", + "\t
      26. 1.62505124617331
        27. \n", + "\t
      27. 4.13780453328177
        28. \n", + "\t
      28. 1.13801039913988
        29. \n", + "\t
      29. 6.90218525174132
        30. \n", + "\t
      30. 4.37966444620344
        31. \n", + "\t
      31. 0.975753516756081
        32. \n", + "\t
      32. 5.86472913132709
        33. \n", + "\t
      33. 5.63065802885886
        34. \n", + "\t
      34. 3.36763932694812
        35. \n", + "\t
      35. 3.20732153328701
        36. \n", + "\t
      36. 1.70907290834166
        37. \n", + "\t
      37. 3.92455416193852
        38. \n", + "\t
      38. 2.49791819047416
        39. \n", + "\t
      39. 4.42057723006818
        40. \n", + "\t
      40. 2.35940281956579
        41. \n", + "\t
      41. 1.44412880055182
        42. \n", + "\t
      42. 3.3532842696571
        43. \n", + "\t
      43. 1.78705870936406
        44. \n", + "\t
      44. 2.80442645494233
        45. \n", + "\t
      45. 9.16906402185229
        46. \n", + "\t
      46. 1.92487427229994
        47. \n", + "\t
      47. 4.64662520905718
        48. \n", + "\t
      48. 1.28241290472856
        49. \n", + "\t
      49. 1.88372299671334
        50. \n", + "\t
      50. 1.29603146947072
        51. \n", + "\t
      51. 1.61527754314434
        52. \n", + "\t
      52. 0.845034555481163
        53. \n", + "\t
      53. 5.52016909521037
        54. \n", + "\t
      54. 2.8271351031834
        55. \n", + "\t
      55. 4.6507614657358
        56. \n", + "\t
      56. 3.69499640352778
        57. \n", + "\t
      57. 4.34803084367338
        58. \n", + "\t
      58. 1.99643604985293
        59. \n", + "\t
      59. 7.51349441455941
        60. \n", + "\t
      60. 4.68987384867906
        61. \n", + "\t
      61. 4.84769547861494
        62. \n", + "\t
      62. 4.5219907200566
        63. \n", + "\t
      63. 1.35591889275413
        64. \n", + "\t
      64. 4.49584289212322
        65. \n", + "\t
      65. 3.30523136481424
        66. \n", + "\t
      66. 2.14855530936108
        67. \n", + "\t
      67. 1.58461976178286
        68. \n", + "\t
      68. 2.4017070884099
        69. \n", + "\t
      69. 5.55267526199893
        70. \n", + "\t
      70. 5.83986618686522
        71. \n", + "\t
      71. 4.74786677268232
        72. \n", + "\t
      72. 2.97250722472886
        73. \n", + "\t
      73. 2.60217766162752
        74. \n", + "\t
      74. 2.15643332551382
        75. \n", + "\t
      75. 6.68133784058785
        76. \n", + "\t
      76. 3.59797357641469
        77. \n", + "\t
      77. 2.2826959551099
        78. \n", + "\t
      78. 2.74986842343131
        79. \n", + "\t
      79. 6.62292047238482
        80. \n", + "\t
      80. 1.72327358354747
        81. \n", + "\t
      81. 6.07175964280984
        82. \n", + "\t
      82. 7.03226063530418
        83. \n", + "\t
      83. 3.51594020367919
        84. \n", + "\t
      84. 4.43940642667417
        85. \n", + "\t
      85. 4.59658415435887
        86. \n", + "\t
      86. 2.60567101058841
        87. \n", + "\t
      87. 2.54322263677681
        88. \n", + "\t
      88. 3.65982374715343
        89. \n", + "\t
      89. 2.2171701878908
        90. \n", + "\t
      90. 2.11868703176829
        91. \n", + "\t
      91. 4.30086580719833
        92. \n", + "\t
      92. 6.69640240604143
        93. \n", + "\t
      93. 4.68010152507946
        94. \n", + "\t
      94. 1.37769166729268
        95. \n", + "\t
      95. 5.23561739241478
        96. \n", + "\t
      96. 2.64661412448743
        97. \n", + "\t
      97. 3.62851087349233
        98. \n", + "\t
      98. 3.52401115021867
        99. \n", + "\t
      99. 3.01625378148968
        100. \n", + "\t
      100. 2.61564402503769
        101. \n", + "
      \n", + "
      57. \n", + "\t
      57. \n", + "\t
      1. 5.84567813429302
        2. \n", + "\t
      2. 1.03123216759159
        3. \n", + "\t
      3. 0.754198205282486
        4. \n", + "\t
      4. 8.31822140136904
        5. \n", + "\t
      5. 4.29672972586775
        6. \n", + "\t
      6. 4.48420725859711
        7. \n", + "\t
      7. 1.54211769359863
        8. \n", + "\t
      8. 1.52194272840935
        9. \n", + "\t
      9. 4.28583109462977
        10. \n", + "\t
      10. 4.57819819332345
        11. \n", + "\t
      11. 3.25243692160489
        12. \n", + "\t
      12. 1.83991738485431
        13. \n", + "\t
      13. 7.69214482584869
        14. \n", + "\t
      14. 1.66786277028951
        15. \n", + "\t
      15. 6.62143717593823
        16. \n", + "\t
      16. 0.404859880893171
        17. \n", + "\t
      17. 9.70406583086608
        18. \n", + "\t
      18. 2.22776417319953
        19. \n", + "\t
      19. 5.54801781392177
        20. \n", + "\t
      20. 1.84451149795132
        21. \n", + "\t
      21. 8.11811088265138
        22. \n", + "\t
      22. 7.16689222179788
        23. \n", + "\t
      23. 1.67105765189942
        24. \n", + "\t
      24. 8.16348292786226
        25. \n", + "\t
      25. 0.684024633873664
        26. \n", + "\t
      26. 1.25877024371628
        27. \n", + "\t
      27. 2.32048356849021
        28. \n", + "\t
      28. 2.62582967893063
        29. \n", + "\t
      29. 1.94432711520949
        30. \n", + "\t
      30. 3.99417769553021
        31. \n", + "\t
      31. 2.1175093730807
        32. \n", + "\t
      32. 4.87657268308026
        33. \n", + "\t
      33. 3.92254241555779
        34. \n", + "\t
      34. 4.51516210640808
        35. \n", + "\t
      35. 4.13338972170176
        36. \n", + "\t
      36. 4.39047981464021
        37. \n", + "\t
      37. 5.99999506847729
        38. \n", + "\t
      38. 5.07204176079304
        39. \n", + "\t
      39. 16.7835093276324
        40. \n", + "\t
      40. 4.7915983945458
        41. \n", + "\t
      41. 6.49858524629433
        42. \n", + "\t
      42. 5.5190125361691
        43. \n", + "\t
      43. 0.250564614978383
        44. \n", + "\t
      44. 1.42171708537736
        45. \n", + "\t
      45. 9.15604391077128
        46. \n", + "\t
      46. 1.18174154946171
        47. \n", + "\t
      47. 1.11400254605585
        48. \n", + "\t
      48. 0.645971887156953
        49. \n", + "\t
      49. 8.57365817895741
        50. \n", + "\t
      50. 3.62661333398685
        51. \n", + "\t
      51. 4.66120257856695
        52. \n", + "\t
      52. 6.54516244634798
        53. \n", + "\t
      53. 3.77950586323509
        54. \n", + "\t
      54. 4.01312108043448
        55. \n", + "\t
      55. 3.31670925466831
        56. \n", + "\t
      56. 6.5956463360764
        57. \n", + "\t
      57. 1.67187855481711
        58. \n", + "\t
      58. 5.21239579609487
        59. \n", + "\t
      59. 4.97633250513842
        60. \n", + "\t
      60. 7.58024537740903
        61. \n", + "\t
      61. 1.6808751818569
        62. \n", + "\t
      62. 5.21610660027367
        63. \n", + "\t
      63. 2.64084438855411
        64. \n", + "\t
      64. 5.85088646490926
        65. \n", + "\t
      65. 3.4150360319838
        66. \n", + "\t
      66. 0.942480068187411
        67. \n", + "\t
      67. 4.96789353243703
        68. \n", + "\t
      68. 5.01178984063671
        69. \n", + "\t
      69. 4.22901164939226
        70. \n", + "\t
      70. 2.18402317394477
        71. \n", + "\t
      71. 8.68383032737239
        72. \n", + "\t
      72. 1.5346608630976
        73. \n", + "\t
      73. 4.68211326978704
        74. \n", + "\t
      74. 6.27534880397385
        75. \n", + "\t
      75. 6.22338625116199
        76. \n", + "\t
      76. 4.71053160630549
        77. \n", + "\t
      77. 1.03355421968908
        78. \n", + "\t
      78. 1.99692480099745
        79. \n", + "\t
      79. 1.92898450220558
        80. \n", + "\t
      80. 5.1910627967798
        81. \n", + "\t
      81. 0.935514887094221
        82. \n", + "\t
      82. 2.15904092530253
        83. \n", + "\t
      83. 5.06349837530373
        84. \n", + "\t
      84. 2.86291625129924
        85. \n", + "\t
      85. 1.09220787492935
        86. \n", + "\t
      86. 4.30566577322341
        87. \n", + "\t
      87. 1.51678872911057
        88. \n", + "\t
      88. 1.31788671661956
        89. \n", + "\t
      89. 1.5971528784387
        90. \n", + "\t
      90. 0.918496952673999
        91. \n", + "\t
      91. 4.74440624159685
        92. \n", + "\t
      92. 7.68110829552951
        93. \n", + "\t
      93. 6.00630708725388
        94. \n", + "\t
      94. 2.09072515917085
        95. \n", + "\t
      95. 1.7603600708109
        96. \n", + "\t
      96. 0.838874875496747
        97. \n", + "\t
      97. 2.97673017854203
        98. \n", + "\t
      98. 5.92442689951261
        99. \n", + "\t
      99. 1.64801356695466
        100. \n", + "\t
      100. 1.28588140912475
        101. \n", + "
      \n", + "
      58. \n", + "\t
      58. \n", + "\t
      1. 1.9805607342837
        2. \n", + "\t
      2. 3.54238233194489
        3. \n", + "\t
      3. 4.71356567411816
        4. \n", + "\t
      4. 4.79000461802966
        5. \n", + "\t
      5. 5.44816540079662
        6. \n", + "\t
      6. 5.41478744859297
        7. \n", + "\t
      7. 2.292614307814
        8. \n", + "\t
      8. 7.57328122479265
        9. \n", + "\t
      9. 1.08730668685638
        10. \n", + "\t
      10. 4.56565115858776
        11. \n", + "\t
      11. 2.02933601557426
        12. \n", + "\t
      12. 2.78806104137997
        13. \n", + "\t
      13. 3.69586931386698
        14. \n", + "\t
      14. 5.34203044146029
        15. \n", + "\t
      15. 6.14275904699796
        16. \n", + "\t
      16. 6.24079783141153
        17. \n", + "\t
      17. 5.35128979708654
        18. \n", + "\t
      18. 3.68573555666284
        19. \n", + "\t
      19. 7.48562530863057
        20. \n", + "\t
      20. 2.25767020869344
        21. \n", + "\t
      21. 1.78373947509901
        22. \n", + "\t
      22. 2.59916737626061
        23. \n", + "\t
      23. 1.93555619257739
        24. \n", + "\t
      24. 6.26283483269591
        25. \n", + "\t
      25. 6.00214626070874
        26. \n", + "\t
      26. 2.60617191811667
        27. \n", + "\t
      27. 3.06831151995445
        28. \n", + "\t
      28. 1.84781763389579
        29. \n", + "\t
      29. 2.66152098107891
        30. \n", + "\t
      30. 6.060302498146
        31. \n", + "\t
      31. 2.14395144701788
        32. \n", + "\t
      32. 3.17311388520435
        33. \n", + "\t
      33. 2.89962588891483
        34. \n", + "\t
      34. 6.9507180521822
        35. \n", + "\t
      35. 2.1185679595454
        36. \n", + "\t
      36. 6.34955262274184
        37. \n", + "\t
      37. 6.56514774141403
        38. \n", + "\t
      38. 3.92082810428636
        39. \n", + "\t
      39. 2.27700022223511
        40. \n", + "\t
      40. 0.926240580803116
        41. \n", + "\t
      41. 4.04197590460018
        42. \n", + "\t
      42. 4.78927806122396
        43. \n", + "\t
      43. 5.8199492266143
        44. \n", + "\t
      44. 1.98443907134483
        45. \n", + "\t
      45. 2.55596263264062
        46. \n", + "\t
      46. 3.52660423982556
        47. \n", + "\t
      47. 2.03948942458625
        48. \n", + "\t
      48. 3.41416613869396
        49. \n", + "\t
      49. 4.75228854533593
        50. \n", + "\t
      50. 5.56669912454112
        51. \n", + "\t
      51. 4.59235814708538
        52. \n", + "\t
      52. 2.43341218788999
        53. \n", + "\t
      53. 2.9218638653992
        54. \n", + "\t
      54. 6.28241260436459
        55. \n", + "\t
      55. 1.64909165509997
        56. \n", + "\t
      56. 2.23748557027452
        57. \n", + "\t
      57. 1.45369560371855
        58. \n", + "\t
      58. 3.0323408913794
        59. \n", + "\t
      59. 5.74277987207737
        60. \n", + "\t
      60. 7.25516385297009
        61. \n", + "\t
      61. 8.27069906425932
        62. \n", + "\t
      62. 1.43582745232242
        63. \n", + "\t
      63. 0.980544577386764
        64. \n", + "\t
      64. 5.01376044431416
        65. \n", + "\t
      65. 0.705887075251279
        66. \n", + "\t
      66. 2.09422207055558
        67. \n", + "\t
      67. 5.50347801369885
        68. \n", + "\t
      68. 3.12701472010698
        69. \n", + "\t
      69. 2.33131637246881
        70. \n", + "\t
      70. 3.77543393595327
        71. \n", + "\t
      71. 4.51442766893094
        72. \n", + "\t
      72. 5.46004626511867
        73. \n", + "\t
      73. 6.06269413765777
        74. \n", + "\t
      74. 6.7100136563925
        75. \n", + "\t
      75. 4.44416872837007
        76. \n", + "\t
      76. 0.98782175830515
        77. \n", + "\t
      77. 1.59829793433972
        78. \n", + "\t
      78. 1.47635785207944
        79. \n", + "\t
      79. 1.26873734544499
        80. \n", + "\t
      80. 3.23220375688561
        81. \n", + "\t
      81. 3.44656102693442
        82. \n", + "\t
      82. 4.6859247898283
        83. \n", + "\t
      83. 5.33181223755106
        84. \n", + "\t
      84. 6.23872950434192
        85. \n", + "\t
      85. 2.06921008322429
        86. \n", + "\t
      86. 2.33395958950462
        87. \n", + "\t
      87. 6.40731573487092
        88. \n", + "\t
      88. 2.95413264258573
        89. \n", + "\t
      89. 4.1936618162462
        90. \n", + "\t
      90. 2.80529752035372
        91. \n", + "\t
      91. 5.44622401606227
        92. \n", + "\t
      92. 2.22005622781763
        93. \n", + "\t
      93. 1.26021049392454
        94. \n", + "\t
      94. 3.50254691606871
        95. \n", + "\t
      95. 4.4489341676172
        96. \n", + "\t
      96. 2.73531107014118
        97. \n", + "\t
      97. 2.68500981007102
        98. \n", + "\t
      98. 6.70394545541417
        99. \n", + "\t
      99. 2.430970164975
        100. \n", + "\t
      100. 2.6826939069388
        101. \n", + "
      \n", + "
      59. \n", + "\t
      59. \n", + "\t
      1. 5.85372848018384
        2. \n", + "\t
      2. 6.48081477861921
        3. \n", + "\t
      3. 0.942012049670054
        4. \n", + "\t
      4. 6.0651278314905
        5. \n", + "\t
      5. 5.59199906854898
        6. \n", + "\t
      6. 2.54814577055916
        7. \n", + "\t
      7. 1.90273720634534
        8. \n", + "\t
      8. 0.556913118319899
        9. \n", + "\t
      9. 5.07651426138803
        10. \n", + "\t
      10. 1.73960215308483
        11. \n", + "\t
      11. 1.42141476442849
        12. \n", + "\t
      12. 0.46761629041403
        13. \n", + "\t
      13. 3.51715826803547
        14. \n", + "\t
      14. 0.9634140995423
        15. \n", + "\t
      15. 2.16013954908946
        16. \n", + "\t
      16. 0.658219000164477
        17. \n", + "\t
      17. 2.62348963092882
        18. \n", + "\t
      18. 1.8088836766717
        19. \n", + "\t
      19. 3.90884482569206
        20. \n", + "\t
      20. 2.24340740899168
        21. \n", + "\t
      21. 1.0833939640703
        22. \n", + "\t
      22. 7.0835398524651
        23. \n", + "\t
      23. 0.433212611401894
        24. \n", + "\t
      24. 2.25601799252688
        25. \n", + "\t
      25. 3.95332219696
        26. \n", + "\t
      26. 1.03191584539401
        27. \n", + "\t
      27. 0.539064432832267
        28. \n", + "\t
      28. 7.32254719287383
        29. \n", + "\t
      29. 5.15631477121598
        30. \n", + "\t
      30. 3.13019920817652
        31. \n", + "\t
      31. 4.85238968843599
        32. \n", + "\t
      32. 0.846053529262624
        33. \n", + "\t
      33. 1.99590284983416
        34. \n", + "\t
      34. 3.57342689424233
        35. \n", + "\t
      35. 0.828127563721137
        36. \n", + "\t
      36. 4.20294525086947
        37. \n", + "\t
      37. 1.70223567557827
        38. \n", + "\t
      38. 0.426315347661715
        39. \n", + "\t
      39. 1.37058713942979
        40. \n", + "\t
      40. 5.1225278832138
        41. \n", + "\t
      41. 3.00207230806721
        42. \n", + "\t
      42. 4.6926040427127
        43. \n", + "\t
      43. 6.18853540878822
        44. \n", + "\t
      44. 1.4515628715992
        45. \n", + "\t
      45. 1.31103529200358
        46. \n", + "\t
      46. 1.14278594994644
        47. \n", + "\t
      47. 0.543764991588904
        48. \n", + "\t
      48. 1.71698294994175
        49. \n", + "\t
      49. 1.74149880499124
        50. \n", + "\t
      50. 3.0512473262809
        51. \n", + "\t
      51. 3.21613819698336
        52. \n", + "\t
      52. 2.66640882208047
        53. \n", + "\t
      53. 1.75898773946288
        54. \n", + "\t
      54. 1.07074263659876
        55. \n", + "\t
      55. 4.06192610300464
        56. \n", + "\t
      56. 1.05331042521352
        57. \n", + "\t
      57. 1.64665910823505
        58. \n", + "\t
      58. 1.8280215979216
        59. \n", + "\t
      59. 5.45053028112229
        60. \n", + "\t
      60. 1.0519212374965
        61. \n", + "\t
      61. 1.83677791145729
        62. \n", + "\t
      62. 2.12015950482476
        63. \n", + "\t
      63. 2.03750591140626
        64. \n", + "\t
      64. 2.00994906753849
        65. \n", + "\t
      65. 3.26415391752469
        66. \n", + "\t
      66. 0.629573912888409
        67. \n", + "\t
      67. 0.843159793660792
        68. \n", + "\t
      68. 3.64270928138584
        69. \n", + "\t
      69. 2.75511417491293
        70. \n", + "\t
      70. 1.42306069854643
        71. \n", + "\t
      71. 5.4419432073326
        72. \n", + "\t
      72. 4.43442498910486
        73. \n", + "\t
      73. 2.48766352369598
        74. \n", + "\t
      74. 2.24159180028505
        75. \n", + "\t
      75. 1.01451444814124
        76. \n", + "\t
      76. 1.42756446122498
        77. \n", + "\t
      77. 4.08749096510292
        78. \n", + "\t
      78. 1.65006328894208
        79. \n", + "\t
      79. 1.90955137045549
        80. \n", + "\t
      80. 3.60225614023512
        81. \n", + "\t
      81. 0.576098271758104
        82. \n", + "\t
      82. 3.61722522408065
        83. \n", + "\t
      83. 3.39040214110657
        84. \n", + "\t
      84. 2.93596085927482
        85. \n", + "\t
      85. 1.7516503211026
        86. \n", + "\t
      86. 4.74583469837186
        87. \n", + "\t
      87. 2.12789601594281
        88. \n", + "\t
      88. 2.5299169235448
        89. \n", + "\t
      89. 1.73343924628377
        90. \n", + "\t
      90. 1.58681880722068
        91. \n", + "\t
      91. 3.72439562047761
        92. \n", + "\t
      92. 3.21824739567772
        93. \n", + "\t
      93. 1.941600575357
        94. \n", + "\t
      94. 1.24542690481422
        95. \n", + "\t
      95. 1.10760048524079
        96. \n", + "\t
      96. 1.45033937783912
        97. \n", + "\t
      97. 6.18438791334805
        98. \n", + "\t
      98. 0.876334944787882
        99. \n", + "\t
      99. 2.44846837073679
        100. \n", + "\t
      100. 2.13394351915094
        101. \n", + "
      \n", + "
      60. \n", + "\t
      60. \n", + "\t
      1. 3.62501868452964
        2. \n", + "\t
      2. 2.58895416599349
        3. \n", + "\t
      3. 5.5927710244489
        4. \n", + "\t
      4. 4.24715490797992
        5. \n", + "\t
      5. 11.7701377960251
        6. \n", + "\t
      6. 5.30283091576572
        7. \n", + "\t
      7. 9.62720301770391
        8. \n", + "\t
      8. 6.6311994216602
        9. \n", + "\t
      9. 3.27245654684763
        10. \n", + "\t
      10. 4.61107325018575
        11. \n", + "\t
      11. 7.89645941959815
        12. \n", + "\t
      12. 5.01553803983365
        13. \n", + "\t
      13. 5.28061542595453
        14. \n", + "\t
      14. 1.20709177344077
        15. \n", + "\t
      15. 1.43895548390084
        16. \n", + "\t
      16. 8.27730212222671
        17. \n", + "\t
      17. 9.35005096215396
        18. \n", + "\t
      18. 3.50793881607096
        19. \n", + "\t
      19. 4.02149510821081
        20. \n", + "\t
      20. 10.8964343582576
        21. \n", + "\t
      21. 1.72991092113574
        22. \n", + "\t
      22. 9.5060025658573
        23. \n", + "\t
      23. 2.24775476009659
        24. \n", + "\t
      24. 8.02220518703165
        25. \n", + "\t
      25. 8.43096120911778
        26. \n", + "\t
      26. 9.19924921655106
        27. \n", + "\t
      27. 4.32370679916701
        28. \n", + "\t
      28. 10.2612266074261
        29. \n", + "\t
      29. 5.17741330230099
        30. \n", + "\t
      30. 4.63087381560756
        31. \n", + "\t
      31. 4.77350501667491
        32. \n", + "\t
      32. 6.5580448646367
        33. \n", + "\t
      33. 5.82914185892771
        34. \n", + "\t
      34. 2.11486688423266
        35. \n", + "\t
      35. 1.67868169708576
        36. \n", + "\t
      36. 4.1487254727941
        37. \n", + "\t
      37. 0.978440769781861
        38. \n", + "\t
      38. 8.03246552140162
        39. \n", + "\t
      39. 2.38046868235638
        40. \n", + "\t
      40. 4.75898026238695
        41. \n", + "\t
      41. 1.1503170115275
        42. \n", + "\t
      42. 7.10161593072987
        43. \n", + "\t
      43. 2.73838162800032
        44. \n", + "\t
      44. 1.22295952247589
        45. \n", + "\t
      45. 11.4817785556716
        46. \n", + "\t
      46. 4.3618450571335
        47. \n", + "\t
      47. 8.00167132166056
        48. \n", + "\t
      48. 1.34598966179757
        49. \n", + "\t
      49. 3.40078342471614
        50. \n", + "\t
      50. 3.91277179025792
        51. \n", + "\t
      51. 4.76813606060536
        52. \n", + "\t
      52. 7.90537010558187
        53. \n", + "\t
      53. 4.49579419608372
        54. \n", + "\t
      54. 5.27451214537966
        55. \n", + "\t
      55. 3.56808186170992
        56. \n", + "\t
      56. 7.66480406885541
        57. \n", + "\t
      57. 0.917883668567753
        58. \n", + "\t
      58. 3.78025261033999
        59. \n", + "\t
      59. 2.41811141878126
        60. \n", + "\t
      60. 9.28021424763002
        61. \n", + "\t
      61. 2.46732657482991
        62. \n", + "\t
      62. 6.61937164807606
        63. \n", + "\t
      63. 9.56424018228021
        64. \n", + "\t
      64. 4.77357891283504
        65. \n", + "\t
      65. 2.37260264653929
        66. \n", + "\t
      66. 4.02153759355081
        67. \n", + "\t
      67. 4.42268870928261
        68. \n", + "\t
      68. 0.983937821255701
        69. \n", + "\t
      69. 6.48919355434787
        70. \n", + "\t
      70. 3.36416704086985
        71. \n", + "\t
      71. 4.35432927170572
        72. \n", + "\t
      72. 3.86862846932201
        73. \n", + "\t
      73. 5.55624013837896
        74. \n", + "\t
      74. 2.70228576876678
        75. \n", + "\t
      75. 3.12197513423293
        76. \n", + "\t
      76. 2.57598003518768
        77. \n", + "\t
      77. 8.2396280114144
        78. \n", + "\t
      78. 3.27625000779555
        79. \n", + "\t
      79. 2.99558146246639
        80. \n", + "\t
      80. 3.80017106395069
        81. \n", + "\t
      81. 9.71657899149987
        82. \n", + "\t
      82. 3.93840485981397
        83. \n", + "\t
      83. 11.062580431001
        84. \n", + "\t
      84. 4.37421208991537
        85. \n", + "\t
      85. 4.37269184902387
        86. \n", + "\t
      86. 8.4695405378476
        87. \n", + "\t
      87. 8.44917070626266
        88. \n", + "\t
      88. 5.70103168278853
        89. \n", + "\t
      89. 5.50036953699419
        90. \n", + "\t
      90. 1.99410312673675
        91. \n", + "\t
      91. 2.04277863858128
        92. \n", + "\t
      92. 5.37945991987117
        93. \n", + "\t
      93. 7.30096097440315
        94. \n", + "\t
      94. 8.70448260789637
        95. \n", + "\t
      95. 1.6521415504238
        96. \n", + "\t
      96. 3.93010572427367
        97. \n", + "\t
      97. 9.68593605371023
        98. \n", + "\t
      98. 5.52417398675777
        99. \n", + "\t
      99. 2.41926733279552
        100. \n", + "\t
      100. 3.98362324009221
        101. \n", + "
      \n", + "
      61. \n", + "\t
      61. \n", + "\t
      1. 1.48827535415931
        2. \n", + "\t
      2. 5.43633966910043
        3. \n", + "\t
      3. 3.33333682240031
        4. \n", + "\t
      4. 1.55597391969109
        5. \n", + "\t
      5. 2.97070534025971
        6. \n", + "\t
      6. 1.21959661034713
        7. \n", + "\t
      7. 1.55314986653513
        8. \n", + "\t
      8. 1.76917809945395
        9. \n", + "\t
      9. 1.77828615516056
        10. \n", + "\t
      10. 1.37528633456446
        11. \n", + "\t
      11. 1.16662122047604
        12. \n", + "\t
      12. 3.35312131264366
        13. \n", + "\t
      13. 3.56741678517368
        14. \n", + "\t
      14. 4.69884652303142
        15. \n", + "\t
      15. 3.39015665475384
        16. \n", + "\t
      16. 1.07729172454337
        17. \n", + "\t
      17. 7.2080191988924
        18. \n", + "\t
      18. 1.55803149799454
        19. \n", + "\t
      19. 2.8489355722909
        20. \n", + "\t
      20. 3.82547186416913
        21. \n", + "\t
      21. 2.85408418683641
        22. \n", + "\t
      22. 1.47279692838657
        23. \n", + "\t
      23. 0.974909434566525
        24. \n", + "\t
      24. 1.82355037828908
        25. \n", + "\t
      25. 1.16047604783408
        26. \n", + "\t
      26. 1.01193466357524
        27. \n", + "\t
      27. 1.08135882700145
        28. \n", + "\t
      28. 1.08431483834908
        29. \n", + "\t
      29. 2.55005431861815
        30. \n", + "\t
      30. 2.91518198048057
        31. \n", + "\t
      31. 1.72880755996899
        32. \n", + "\t
      32. 3.53291638311291
        33. \n", + "\t
      33. 4.41107738086077
        34. \n", + "\t
      34. 2.4387364753423
        35. \n", + "\t
      35. 3.18173309309856
        36. \n", + "\t
      36. 2.50823352739989
        37. \n", + "\t
      37. 1.93147706050746
        38. \n", + "\t
      38. 0.825196225518795
        39. \n", + "\t
      39. 0.852313685168512
        40. \n", + "\t
      40. 3.11242744479189
        41. \n", + "\t
      41. 0.97262006409768
        42. \n", + "\t
      42. 4.40257003128781
        43. \n", + "\t
      43. 2.80129344721474
        44. \n", + "\t
      44. 3.03651099832823
        45. \n", + "\t
      45. 0.949101910254434
        46. \n", + "\t
      46. 1.17364221816514
        47. \n", + "\t
      47. 1.0447748141315
        48. \n", + "\t
      48. 1.36967158234668
        49. \n", + "\t
      49. 2.41592566129345
        50. \n", + "\t
      50. 1.60281155889247
        51. \n", + "\t
      51. 3.3139373604021
        52. \n", + "\t
      52. 2.06879174613065
        53. \n", + "\t
      53. 1.88126475847706
        54. \n", + "\t
      54. 1.85156515606211
        55. \n", + "\t
      55. 0.724243056501618
        56. \n", + "\t
      56. 1.51845633880448
        57. \n", + "\t
      57. 1.4793390056823
        58. \n", + "\t
      58. 1.87925176266308
        59. \n", + "\t
      59. 1.4169252741458
        60. \n", + "\t
      60. 5.26314871234411
        61. \n", + "\t
      61. 4.65566689504393
        62. \n", + "\t
      62. 1.06630354371771
        63. \n", + "\t
      63. 0.94763911171243
        64. \n", + "\t
      64. 1.99533928103187
        65. \n", + "\t
      65. 4.23508323444753
        66. \n", + "\t
      66. 1.85290138149366
        67. \n", + "\t
      67. 1.81356519534301
        68. \n", + "\t
      68. 1.58553129150694
        69. \n", + "\t
      69. 1.67168164864504
        70. \n", + "\t
      70. 1.19370522493028
        71. \n", + "\t
      71. 1.04827994388847
        72. \n", + "\t
      72. 0.917349523884919
        73. \n", + "\t
      73. 1.80808224905209
        74. \n", + "\t
      74. 3.25734480780483
        75. \n", + "\t
      75. 3.17387810371005
        76. \n", + "\t
      76. 8.02509431451826
        77. \n", + "\t
      77. 1.77056189749871
        78. \n", + "\t
      78. 1.26146658061463
        79. \n", + "\t
      79. 1.06988017393798
        80. \n", + "\t
      80. 8.6505579616709
        81. \n", + "\t
      81. 3.24810470498202
        82. \n", + "\t
      82. 2.17437133531438
        83. \n", + "\t
      83. 1.46349701533204
        84. \n", + "\t
      84. 2.3802730162823
        85. \n", + "\t
      85. 1.23187886673657
        86. \n", + "\t
      86. 0.826452891510799
        87. \n", + "\t
      87. 3.73143114057647
        88. \n", + "\t
      88. 2.66090290396797
        89. \n", + "\t
      89. 3.60395107818176
        90. \n", + "\t
      90. 0.84908852778945
        91. \n", + "\t
      91. 6.89333388202692
        92. \n", + "\t
      92. 6.3416091260163
        93. \n", + "\t
      93. 2.06631041327752
        94. \n", + "\t
      94. 0.922106884952717
        95. \n", + "\t
      95. 1.26117958160293
        96. \n", + "\t
      96. 1.65453795420402
        97. \n", + "\t
      97. 1.06788402782149
        98. \n", + "\t
      98. 1.77954517093897
        99. \n", + "\t
      99. 2.72926885210751
        100. \n", + "\t
      100. 1.83262868422017
        101. \n", + "
      \n", + "
      62. \n", + "\t
      62. \n", + "\t
      1. 3.48661285509131
        2. \n", + "\t
      2. 4.66126675793736
        3. \n", + "\t
      3. 7.78800943287619
        4. \n", + "\t
      4. 3.42986600309031
        5. \n", + "\t
      5. 4.49668975987794
        6. \n", + "\t
      6. 5.79791578125878
        7. \n", + "\t
      7. 3.4716099753159
        8. \n", + "\t
      8. 3.57838344113571
        9. \n", + "\t
      9. 3.09920897262586
        10. \n", + "\t
      10. 11.3834583009092
        11. \n", + "\t
      11. 7.53093869379494
        12. \n", + "\t
      12. 3.45303469726856
        13. \n", + "\t
      13. 8.39472244982126
        14. \n", + "\t
      14. 3.37508382071225
        15. \n", + "\t
      15. 5.59942295912601
        16. \n", + "\t
      16. 1.66918673822002
        17. \n", + "\t
      17. 4.79825283050818
        18. \n", + "\t
      18. 1.80307964478831
        19. \n", + "\t
      19. 5.993890797697
        20. \n", + "\t
      20. 8.085234773759
        21. \n", + "\t
      21. 5.60973393097146
        22. \n", + "\t
      22. 4.2744042341778
        23. \n", + "\t
      23. 6.55357566591128
        24. \n", + "\t
      24. 7.77405831683621
        25. \n", + "\t
      25. 9.39409829354589
        26. \n", + "\t
      26. 2.86353613733475
        27. \n", + "\t
      27. 6.79639340932237
        28. \n", + "\t
      28. 3.0833569460351
        29. \n", + "\t
      29. 5.38978519603565
        30. \n", + "\t
      30. 10.7112665811121
        31. \n", + "\t
      31. 5.43881007719261
        32. \n", + "\t
      32. 5.3622216919971
        33. \n", + "\t
      33. 6.6605099608087
        34. \n", + "\t
      34. 5.36168772085437
        35. \n", + "\t
      35. 3.44573446937758
        36. \n", + "\t
      36. 5.42497494004645
        37. \n", + "\t
      37. 9.32616612070103
        38. \n", + "\t
      38. 2.392503643462
        39. \n", + "\t
      39. 5.99362753847443
        40. \n", + "\t
      40. 6.07145910714583
        41. \n", + "\t
      41. 6.44614023080021
        42. \n", + "\t
      42. 6.92529768979283
        43. \n", + "\t
      43. 7.24723897771229
        44. \n", + "\t
      44. 4.46071098760974
        45. \n", + "\t
      45. 5.59298206624259
        46. \n", + "\t
      46. 4.00154935984733
        47. \n", + "\t
      47. 3.00217986369245
        48. \n", + "\t
      48. 4.06973796718424
        49. \n", + "\t
      49. 4.77840113436891
        50. \n", + "\t
      50. 7.9559726694166
        51. \n", + "\t
      51. 8.84779232881735
        52. \n", + "\t
      52. 2.61992426208352
        53. \n", + "\t
      53. 7.14054650947536
        54. \n", + "\t
      54. 7.74248467904814
        55. \n", + "\t
      55. 3.97905994392941
        56. \n", + "\t
      56. 5.41115732964243
        57. \n", + "\t
      57. 6.57703644554474
        58. \n", + "\t
      58. 9.23757708655127
        59. \n", + "\t
      59. 5.50868782902284
        60. \n", + "\t
      60. 4.71092835858278
        61. \n", + "\t
      61. 2.96793774575056
        62. \n", + "\t
      62. 5.6640970433658
        63. \n", + "\t
      63. 9.49942727485825
        64. \n", + "\t
      64. 7.3245582131152
        65. \n", + "\t
      65. 2.27736420424888
        66. \n", + "\t
      66. 5.12392476414004
        67. \n", + "\t
      67. 4.21711281494455
        68. \n", + "\t
      68. 11.0373307945819
        69. \n", + "\t
      69. 7.37211124022718
        70. \n", + "\t
      70. 3.17787936050401
        71. \n", + "\t
      71. 4.64692822941772
        72. \n", + "\t
      72. 6.57380028979471
        73. \n", + "\t
      73. 6.42090938938591
        74. \n", + "\t
      74. 8.47832205876321
        75. \n", + "\t
      75. 11.0427768306318
        76. \n", + "\t
      76. 4.1614321365209
        77. \n", + "\t
      77. 4.36589676869638
        78. \n", + "\t
      78. 4.41317741252987
        79. \n", + "\t
      79. 6.35196400776173
        80. \n", + "\t
      80. 7.53395092029084
        81. \n", + "\t
      81. 4.82645643007696
        82. \n", + "\t
      82. 5.82414316923866
        83. \n", + "\t
      83. 2.51358796215667
        84. \n", + "\t
      84. 6.11223222115336
        85. \n", + "\t
      85. 3.32160433503759
        86. \n", + "\t
      86. 6.22282925420808
        87. \n", + "\t
      87. 2.82327468797282
        88. \n", + "\t
      88. 2.4384781208294
        89. \n", + "\t
      89. 2.42412007680761
        90. \n", + "\t
      90. 6.01672018919123
        91. \n", + "\t
      91. 9.7644942750278
        92. \n", + "\t
      92. 6.5611716662387
        93. \n", + "\t
      93. 1.62462087796028
        94. \n", + "\t
      94. 6.66266906429602
        95. \n", + "\t
      95. 6.16460222032915
        96. \n", + "\t
      96. 4.33369822646539
        97. \n", + "\t
      97. 9.31632915347516
        98. \n", + "\t
      98. 2.69236397508671
        99. \n", + "\t
      99. 5.62214040369034
        100. \n", + "\t
      100. 9.00332962873959
        101. \n", + "
      \n", + "
      63. \n", + "\t
      63. \n", + "\t
      1. 5.82196661234418
        2. \n", + "\t
      2. 6.3440849971557
        3. \n", + "\t
      3. 7.92242456695107
        4. \n", + "\t
      4. 5.8553673869129
        5. \n", + "\t
      5. 8.35538932674749
        6. \n", + "\t
      6. 5.62087169550409
        7. \n", + "\t
      7. 6.22999510963976
        8. \n", + "\t
      8. 4.30574014375649
        9. \n", + "\t
      9. 9.53370190670528
        10. \n", + "\t
      10. 3.52958824476949
        11. \n", + "\t
      11. 7.51714033805879
        12. \n", + "\t
      12. 4.21238230832796
        13. \n", + "\t
      13. 3.63710982752803
        14. \n", + "\t
      14. 8.31209451982419
        15. \n", + "\t
      15. 1.96719118185958
        16. \n", + "\t
      16. 5.7982957842364
        17. \n", + "\t
      17. 5.61188736039403
        18. \n", + "\t
      18. 4.69372670919363
        19. \n", + "\t
      19. 2.09676244157449
        20. \n", + "\t
      20. 6.30797735600883
        21. \n", + "\t
      21. 5.43377300717187
        22. \n", + "\t
      22. 5.59564234218355
        23. \n", + "\t
      23. 5.83121117782475
        24. \n", + "\t
      24. 0.987783193434179
        25. \n", + "\t
      25. 3.5436457180677
        26. \n", + "\t
      26. 1.44658974655749
        27. \n", + "\t
      27. 4.28785718132334
        28. \n", + "\t
      28. 5.93588631332788
        29. \n", + "\t
      29. 4.79159380746777
        30. \n", + "\t
      30. 8.23783047795602
        31. \n", + "\t
      31. 2.35320405219643
        32. \n", + "\t
      32. 5.29949318438915
        33. \n", + "\t
      33. 4.42333815343767
        34. \n", + "\t
      34. 6.3123451276608
        35. \n", + "\t
      35. 5.23061868198891
        36. \n", + "\t
      36. 12.1465579246787
        37. \n", + "\t
      37. 1.37744506401689
        38. \n", + "\t
      38. 2.56268281637165
        39. \n", + "\t
      39. 7.84585053597922
        40. \n", + "\t
      40. 6.71513369320806
        41. \n", + "\t
      41. 5.65778356189898
        42. \n", + "\t
      42. 8.27959696625656
        43. \n", + "\t
      43. 10.8939064033024
        44. \n", + "\t
      44. 4.28605158447957
        45. \n", + "\t
      45. 9.91260964873328
        46. \n", + "\t
      46. 5.67630228180108
        47. \n", + "\t
      47. 8.43574161552146
        48. \n", + "\t
      48. 2.42162337265725
        49. \n", + "\t
      49. 2.24456665604841
        50. \n", + "\t
      50. 6.68061478867835
        51. \n", + "\t
      51. 5.55792034515452
        52. \n", + "\t
      52. 5.97166448845353
        53. \n", + "\t
      53. 2.55997164427666
        54. \n", + "\t
      54. 6.97660756302482
        55. \n", + "\t
      55. 3.3036417453396
        56. \n", + "\t
      56. 5.40966697501337
        57. \n", + "\t
      57. 6.27369651865841
        58. \n", + "\t
      58. 1.61546150276243
        59. \n", + "\t
      59. 4.59821373939856
        60. \n", + "\t
      60. 5.38477602828032
        61. \n", + "\t
      61. 2.23701788151851
        62. \n", + "\t
      62. 11.8297836975992
        63. \n", + "\t
      63. 4.69687878397786
        64. \n", + "\t
      64. 7.44608070567787
        65. \n", + "\t
      65. 4.268576611499
        66. \n", + "\t
      66. 6.88527504317753
        67. \n", + "\t
      67. 3.69950316446234
        68. \n", + "\t
      68. 5.09521978991863
        69. \n", + "\t
      69. 2.69311313361603
        70. \n", + "\t
      70. 4.71535964347879
        71. \n", + "\t
      71. 6.11661076693551
        72. \n", + "\t
      72. 9.54553203327212
        73. \n", + "\t
      73. 3.48109632074146
        74. \n", + "\t
      74. 4.72201709642203
        75. \n", + "\t
      75. 6.91999870715813
        76. \n", + "\t
      76. 11.1544310381634
        77. \n", + "\t
      77. 2.54224368162605
        78. \n", + "\t
      78. 3.43039395674078
        79. \n", + "\t
      79. 3.434047058007
        80. \n", + "\t
      80. 3.43389253608528
        81. \n", + "\t
      81. 3.83302602836636
        82. \n", + "\t
      82. 4.32685165130203
        83. \n", + "\t
      83. 5.17078950561172
        84. \n", + "\t
      84. 3.64635091852092
        85. \n", + "\t
      85. 4.34878689607615
        86. \n", + "\t
      86. 4.76228473644032
        87. \n", + "\t
      87. 1.66542025911393
        88. \n", + "\t
      88. 4.80854871412486
        89. \n", + "\t
      89. 4.74110239408286
        90. \n", + "\t
      90. 4.7694449711018
        91. \n", + "\t
      91. 6.70865974217386
        92. \n", + "\t
      92. 4.90501766107145
        93. \n", + "\t
      93. 4.56464214170722
        94. \n", + "\t
      94. 4.02154553087371
        95. \n", + "\t
      95. 7.04186132005635
        96. \n", + "\t
      96. 5.44378954416218
        97. \n", + "\t
      97. 2.8552623573378
        98. \n", + "\t
      98. 6.15858170203135
        99. \n", + "\t
      99. 6.21409586852007
        100. \n", + "\t
      100. 8.62162793864849
        101. \n", + "
      \n", + "
      64. \n", + "\t
      64. \n", + "\t
      1. 6.57255235216265
        2. \n", + "\t
      2. 5.70181355601158
        3. \n", + "\t
      3. 4.0230075262997
        4. \n", + "\t
      4. 3.40910692542921
        5. \n", + "\t
      5. 6.0400899102248
        6. \n", + "\t
      6. 2.06633145992256
        7. \n", + "\t
      7. 4.68007431619482
        8. \n", + "\t
      8. 7.76037911053333
        9. \n", + "\t
      9. 4.95323161732713
        10. \n", + "\t
      10. 1.43560788144912
        11. \n", + "\t
      11. 6.35995174782748
        12. \n", + "\t
      12. 5.89914436638882
        13. \n", + "\t
      13. 1.60249336150285
        14. \n", + "\t
      14. 4.18883223686486
        15. \n", + "\t
      15. 1.48991723891449
        16. \n", + "\t
      16. 2.0043266252477
        17. \n", + "\t
      17. 5.24117648790127
        18. \n", + "\t
      18. 0.644130329854581
        19. \n", + "\t
      19. 4.82090280982217
        20. \n", + "\t
      20. 1.51811866067879
        21. \n", + "\t
      21. 5.74218188776276
        22. \n", + "\t
      22. 4.5603833068563
        23. \n", + "\t
      23. 4.22191342946908
        24. \n", + "\t
      24. 5.69962964017842
        25. \n", + "\t
      25. 4.3383583270356
        26. \n", + "\t
      26. 1.84688975126312
        27. \n", + "\t
      27. 6.51077896384864
        28. \n", + "\t
      28. 1.87965998047538
        29. \n", + "\t
      29. 5.256345298422
        30. \n", + "\t
      30. 7.90952121732168
        31. \n", + "\t
      31. 1.19315384920659
        32. \n", + "\t
      32. 7.04315264687979
        33. \n", + "\t
      33. 5.25953488683417
        34. \n", + "\t
      34. 5.74524694491661
        35. \n", + "\t
      35. 3.04915634366225
        36. \n", + "\t
      36. 3.57493111666224
        37. \n", + "\t
      37. 4.42004452848422
        38. \n", + "\t
      38. 9.12579990606482
        39. \n", + "\t
      39. 10.4310779434241
        40. \n", + "\t
      40. 2.35217457214267
        41. \n", + "\t
      41. 5.20789174578241
        42. \n", + "\t
      42. 3.60247452510239
        43. \n", + "\t
      43. 1.5373486789872
        44. \n", + "\t
      44. 4.31985567770418
        45. \n", + "\t
      45. 4.87558721329283
        46. \n", + "\t
      46. 2.96235548649209
        47. \n", + "\t
      47. 2.85612780621583
        48. \n", + "\t
      48. 3.18904358947389
        49. \n", + "\t
      49. 6.11508817730956
        50. \n", + "\t
      50. 1.55179399804595
        51. \n", + "\t
      51. 5.70589063126059
        52. \n", + "\t
      52. 9.00926971181126
        53. \n", + "\t
      53. 5.28256333216013
        54. \n", + "\t
      54. 10.2321706121322
        55. \n", + "\t
      55. 4.80727088828357
        56. \n", + "\t
      56. 3.78675563533258
        57. \n", + "\t
      57. 4.14150415509281
        58. \n", + "\t
      58. 1.73700268895861
        59. \n", + "\t
      59. 3.3268102824309
        60. \n", + "\t
      60. 1.65746873903754
        61. \n", + "\t
      61. 2.1869960063109
        62. \n", + "\t
      62. 4.17910768536135
        63. \n", + "\t
      63. 3.54637826114924
        64. \n", + "\t
      64. 6.57761765181824
        65. \n", + "\t
      65. 8.49294731618829
        66. \n", + "\t
      66. 3.64759544440366
        67. \n", + "\t
      67. 2.35880213797694
        68. \n", + "\t
      68. 1.7049665898066
        69. \n", + "\t
      69. 3.08732025390572
        70. \n", + "\t
      70. 2.34843238467199
        71. \n", + "\t
      71. 4.42988550185968
        72. \n", + "\t
      72. 5.34568162913167
        73. \n", + "\t
      73. 6.79956242762199
        74. \n", + "\t
      74. 5.24203361577532
        75. \n", + "\t
      75. 3.7776551874024
        76. \n", + "\t
      76. 4.5386283444628
        77. \n", + "\t
      77. 4.44188783855468
        78. \n", + "\t
      78. 3.02993975090394
        79. \n", + "\t
      79. 1.65895111337368
        80. \n", + "\t
      80. 2.61454742411464
        81. \n", + "\t
      81. 5.28094134034141
        82. \n", + "\t
      82. 1.42350387218384
        83. \n", + "\t
      83. 3.78808382769343
        84. \n", + "\t
      84. 1.03522109311924
        85. \n", + "\t
      85. 3.31014344660626
        86. \n", + "\t
      86. 1.04730610380482
        87. \n", + "\t
      87. 2.01586816011924
        88. \n", + "\t
      88. 1.91109383732418
        89. \n", + "\t
      89. 2.65447772763786
        90. \n", + "\t
      90. 4.86371277776315
        91. \n", + "\t
      91. 4.46179695473478
        92. \n", + "\t
      92. 1.43914165156692
        93. \n", + "\t
      93. 5.48444508977333
        94. \n", + "\t
      94. 5.77530035466912
        95. \n", + "\t
      95. 1.13350193640352
        96. \n", + "\t
      96. 3.24055377677617
        97. \n", + "\t
      97. 0.609933184694958
        98. \n", + "\t
      98. 10.4406373963521
        99. \n", + "\t
      99. 4.84226643112957
        100. \n", + "\t
      100. 3.25106785560855
        101. \n", + "
      \n", + "
      65. \n", + "\t
      65. \n", + "\t
      1. 4.44751455265737
        2. \n", + "\t
      2. 3.14942218725516
        3. \n", + "\t
      3. 7.28344105664406
        4. \n", + "\t
      4. 3.77871904175937
        5. \n", + "\t
      5. 5.87421862216903
        6. \n", + "\t
      6. 1.33392035896608
        7. \n", + "\t
      7. 8.67764875674796
        8. \n", + "\t
      8. 4.48602275819072
        9. \n", + "\t
      9. 4.83330317326315
        10. \n", + "\t
      10. 4.54382803446352
        11. \n", + "\t
      11. 4.75457249519372
        12. \n", + "\t
      12. 2.61931598788459
        13. \n", + "\t
      13. 1.94499880582556
        14. \n", + "\t
      14. 2.79311074341478
        15. \n", + "\t
      15. 2.39778650335487
        16. \n", + "\t
      16. 3.28820854478449
        17. \n", + "\t
      17. 5.34741139520915
        18. \n", + "\t
      18. 6.11961508693143
        19. \n", + "\t
      19. 8.34932462366814
        20. \n", + "\t
      20. 0.530076432461662
        21. \n", + "\t
      21. 1.50417878558613
        22. \n", + "\t
      22. 2.42240662229553
        23. \n", + "\t
      23. 1.48182549550146
        24. \n", + "\t
      24. 5.69673338418503
        25. \n", + "\t
      25. 2.33098969723854
        26. \n", + "\t
      26. 4.65988445078399
        27. \n", + "\t
      27. 4.27442623780564
        28. \n", + "\t
      28. 4.41301805127891
        29. \n", + "\t
      29. 3.27923780329066
        30. \n", + "\t
      30. 5.17753653255897
        31. \n", + "\t
      31. 4.27090415612816
        32. \n", + "\t
      32. 6.74273808559724
        33. \n", + "\t
      33. 4.06901552208314
        34. \n", + "\t
      34. 10.2890414895646
        35. \n", + "\t
      35. 4.10454121861156
        36. \n", + "\t
      36. 4.78241521659887
        37. \n", + "\t
      37. 1.38784301826642
        38. \n", + "\t
      38. 4.17541509265395
        39. \n", + "\t
      39. 1.96969043737546
        40. \n", + "\t
      40. 7.01183308274637
        41. \n", + "\t
      41. 1.26189044968501
        42. \n", + "\t
      42. 4.001839985779
        43. \n", + "\t
      43. 6.14024653847978
        44. \n", + "\t
      44. 5.96613912733485
        45. \n", + "\t
      45. 3.33149779831049
        46. \n", + "\t
      46. 2.26713415515319
        47. \n", + "\t
      47. 5.19876579821278
        48. \n", + "\t
      48. 4.97854809643984
        49. \n", + "\t
      49. 3.48408470850706
        50. \n", + "\t
      50. 4.34923240809125
        51. \n", + "\t
      51. 0.825296513573258
        52. \n", + "\t
      52. 8.52518918541646
        53. \n", + "\t
      53. 5.87329867184069
        54. \n", + "\t
      54. 1.46183435791116
        55. \n", + "\t
      55. 0.921912642777703
        56. \n", + "\t
      56. 4.74102188015177
        57. \n", + "\t
      57. 6.80317169145167
        58. \n", + "\t
      58. 5.53105167572442
        59. \n", + "\t
      59. 2.67305476478806
        60. \n", + "\t
      60. 4.2446372991169
        61. \n", + "\t
      61. 4.92124029450493
        62. \n", + "\t
      62. 3.22452342160161
        63. \n", + "\t
      63. 9.54659925639583
        64. \n", + "\t
      64. 3.43419685681408
        65. \n", + "\t
      65. 5.27924052364862
        66. \n", + "\t
      66. 1.41090268777412
        67. \n", + "\t
      67. 1.56041560268931
        68. \n", + "\t
      68. 2.12754111070338
        69. \n", + "\t
      69. 1.43550732003307
        70. \n", + "\t
      70. 2.01032524555507
        71. \n", + "\t
      71. 2.39743863413821
        72. \n", + "\t
      72. 3.40527033196869
        73. \n", + "\t
      73. 4.53989534049424
        74. \n", + "\t
      74. 4.58258543284745
        75. \n", + "\t
      75. 4.11094270540803
        76. \n", + "\t
      76. 5.6798607188524
        77. \n", + "\t
      77. 5.30437955809858
        78. \n", + "\t
      78. 1.56730535956269
        79. \n", + "\t
      79. 2.2734593862228
        80. \n", + "\t
      80. 5.16713526829754
        81. \n", + "\t
      81. 2.41465833123418
        82. \n", + "\t
      82. 4.82097237440982
        83. \n", + "\t
      83. 2.47991288695669
        84. \n", + "\t
      84. 2.24531738237942
        85. \n", + "\t
      85. 4.72570219492889
        86. \n", + "\t
      86. 5.43791890061593
        87. \n", + "\t
      87. 3.23282287178911
        88. \n", + "\t
      88. 3.92849159054942
        89. \n", + "\t
      89. 1.78887965901287
        90. \n", + "\t
      90. 6.85362012046468
        91. \n", + "\t
      91. 1.9934826130995
        92. \n", + "\t
      92. 4.0271971035878
        93. \n", + "\t
      93. 5.15249567499092
        94. \n", + "\t
      94. 3.00439077366048
        95. \n", + "\t
      95. 4.59860269832018
        96. \n", + "\t
      96. 4.25113334473292
        97. \n", + "\t
      97. 3.8528993236297
        98. \n", + "\t
      98. 4.40966018031249
        99. \n", + "\t
      99. 6.43495260694734
        100. \n", + "\t
      100. 2.49686378915133
        101. \n", + "
      \n", + "
      66. \n", + "\t
      66. \n", + "\t
      1. 1.51375439665552
        2. \n", + "\t
      2. 4.47753110955158
        3. \n", + "\t
      3. 4.14614726873427
        4. \n", + "\t
      4. 2.07517464146265
        5. \n", + "\t
      5. 5.53924784218249
        6. \n", + "\t
      6. 3.69268820098544
        7. \n", + "\t
      7. 3.65318702267366
        8. \n", + "\t
      8. 1.42907263600846
        9. \n", + "\t
      9. 3.75915556133581
        10. \n", + "\t
      10. 4.18485668907094
        11. \n", + "\t
      11. 3.04534106422614
        12. \n", + "\t
      12. 4.39668900686239
        13. \n", + "\t
      13. 4.41681250146186
        14. \n", + "\t
      14. 3.22287113131053
        15. \n", + "\t
      15. 5.84467956609512
        16. \n", + "\t
      16. 2.03679453903511
        17. \n", + "\t
      17. 8.17323548332712
        18. \n", + "\t
      18. 9.34728150163362
        19. \n", + "\t
      19. 2.83621657199905
        20. \n", + "\t
      20. 5.7937314935508
        21. \n", + "\t
      21. 6.63767241439246
        22. \n", + "\t
      22. 2.84666187633033
        23. \n", + "\t
      23. 2.25904818649522
        24. \n", + "\t
      24. 1.87798919013116
        25. \n", + "\t
      25. 4.2735673391445
        26. \n", + "\t
      26. 5.43804052468279
        27. \n", + "\t
      27. 4.1585433918703
        28. \n", + "\t
      28. 2.01144201367877
        29. \n", + "\t
      29. 1.09816840973608
        30. \n", + "\t
      30. 5.67437295810008
        31. \n", + "\t
      31. 2.932844767929
        32. \n", + "\t
      32. 4.39341628059227
        33. \n", + "\t
      33. 4.32195504689816
        34. \n", + "\t
      34. 5.55539617899728
        35. \n", + "\t
      35. 1.91489279774578
        36. \n", + "\t
      36. 2.38635735857761
        37. \n", + "\t
      37. 4.98348643781461
        38. \n", + "\t
      38. 2.40175556984997
        39. \n", + "\t
      39. 1.81274335106528
        40. \n", + "\t
      40. 3.1731093704082
        41. \n", + "\t
      41. 1.62351576827933
        42. \n", + "\t
      42. 4.1175142032787
        43. \n", + "\t
      43. 8.15433311471602
        44. \n", + "\t
      44. 2.56648547683552
        45. \n", + "\t
      45. 6.30681157019655
        46. \n", + "\t
      46. 8.1353199173184
        47. \n", + "\t
      47. 2.31688498219254
        48. \n", + "\t
      48. 4.99591688913709
        49. \n", + "\t
      49. 4.92607000190351
        50. \n", + "\t
      50. 1.42724797684055
        51. \n", + "\t
      51. 3.87354883363378
        52. \n", + "\t
      52. 8.36562136522861
        53. \n", + "\t
      53. 4.08750608177409
        54. \n", + "\t
      54. 2.49394198722645
        55. \n", + "\t
      55. 0.855323237211097
        56. \n", + "\t
      56. 5.15001170526212
        57. \n", + "\t
      57. 2.61900521865559
        58. \n", + "\t
      58. 3.10336190694571
        59. \n", + "\t
      59. 1.79196246329899
        60. \n", + "\t
      60. 1.62019891042657
        61. \n", + "\t
      61. 3.07272855942538
        62. \n", + "\t
      62. 2.30194041920034
        63. \n", + "\t
      63. 3.92164022522358
        64. \n", + "\t
      64. 2.83159003312629
        65. \n", + "\t
      65. 5.59052537832869
        66. \n", + "\t
      66. 1.9679600893414
        67. \n", + "\t
      67. 3.52438902416667
        68. \n", + "\t
      68. 3.40291427308689
        69. \n", + "\t
      69. 11.1576065165157
        70. \n", + "\t
      70. 5.8251301622305
        71. \n", + "\t
      71. 1.85349948312501
        72. \n", + "\t
      72. 5.78028545056817
        73. \n", + "\t
      73. 5.76376091638796
        74. \n", + "\t
      74. 2.19013004150852
        75. \n", + "\t
      75. 2.80000377793151
        76. \n", + "\t
      76. 2.63874585041507
        77. \n", + "\t
      77. 4.04071012169679
        78. \n", + "\t
      78. 6.20945295587978
        79. \n", + "\t
      79. 3.61743417622101
        80. \n", + "\t
      80. 3.79300639974168
        81. \n", + "\t
      81. 4.40570217621404
        82. \n", + "\t
      82. 4.40373564811017
        83. \n", + "\t
      83. 3.18638833079158
        84. \n", + "\t
      84. 3.49395201109671
        85. \n", + "\t
      85. 3.83710616319332
        86. \n", + "\t
      86. 3.43875662322798
        87. \n", + "\t
      87. 7.07786957844511
        88. \n", + "\t
      88. 4.05118161316334
        89. \n", + "\t
      89. 4.9924460370397
        90. \n", + "\t
      90. 1.23526480623016
        91. \n", + "\t
      91. 8.11537996426824
        92. \n", + "\t
      92. 6.14403842054554
        93. \n", + "\t
      93. 1.26301944543237
        94. \n", + "\t
      94. 5.04672909238209
        95. \n", + "\t
      95. 1.97764221677317
        96. \n", + "\t
      96. 2.5513465238087
        97. \n", + "\t
      97. 2.12053475950829
        98. \n", + "\t
      98. 4.67736025377998
        99. \n", + "\t
      99. 4.91444521698299
        100. \n", + "\t
      100. 5.63116691442471
        101. \n", + "
      \n", + "
      67. \n", + "\t
      67. \n", + "\t
      1. 0.798550179401368
        2. \n", + "\t
      2. 0.923742335699283
        3. \n", + "\t
      3. 5.80692225457495
        4. \n", + "\t
      4. 5.26736674325647
        5. \n", + "\t
      5. 2.50902826487478
        6. \n", + "\t
      6. 4.29997968805775
        7. \n", + "\t
      7. 9.93092101193212
        8. \n", + "\t
      8. 4.16249324402896
        9. \n", + "\t
      9. 4.08357584215466
        10. \n", + "\t
      10. 1.10860331406563
        11. \n", + "\t
      11. 6.71707659418019
        12. \n", + "\t
      12. 5.80536127474914
        13. \n", + "\t
      13. 5.82131795129732
        14. \n", + "\t
      14. 1.46407135871037
        15. \n", + "\t
      15. 7.68472629372381
        16. \n", + "\t
      16. 9.85991978597532
        17. \n", + "\t
      17. 3.53062498854398
        18. \n", + "\t
      18. 4.85156337373068
        19. \n", + "\t
      19. 2.54409373558608
        20. \n", + "\t
      20. 6.52226573185941
        21. \n", + "\t
      21. 9.764882523667
        22. \n", + "\t
      22. 6.8960146210824
        23. \n", + "\t
      23. 9.25856470871389
        24. \n", + "\t
      24. 1.29545086440099
        25. \n", + "\t
      25. 2.35597129299289
        26. \n", + "\t
      26. 2.92436483697123
        27. \n", + "\t
      27. 1.84049172919322
        28. \n", + "\t
      28. 1.72046669504032
        29. \n", + "\t
      29. 9.08529434462761
        30. \n", + "\t
      30. 4.69028561209151
        31. \n", + "\t
      31. 5.82465864559408
        32. \n", + "\t
      32. 5.90705401874733
        33. \n", + "\t
      33. 4.01740871427286
        34. \n", + "\t
      34. 1.49135361922049
        35. \n", + "\t
      35. 3.87527755263613
        36. \n", + "\t
      36. 5.1423330902291
        37. \n", + "\t
      37. 5.13754763128956
        38. \n", + "\t
      38. 6.14065116419446
        39. \n", + "\t
      39. 3.36705865008199
        40. \n", + "\t
      40. 2.20449184002124
        41. \n", + "\t
      41. 1.66616255474929
        42. \n", + "\t
      42. 5.31724759742202
        43. \n", + "\t
      43. 7.43361210281145
        44. \n", + "\t
      44. 5.79248201860302
        45. \n", + "\t
      45. 2.7793469289098
        46. \n", + "\t
      46. 3.74545656950086
        47. \n", + "\t
      47. 4.50876694359768
        48. \n", + "\t
      48. 3.02550445843213
        49. \n", + "\t
      49. 5.15761092632977
        50. \n", + "\t
      50. 1.49918214982372
        51. \n", + "\t
      51. 6.27867803639517
        52. \n", + "\t
      52. 7.08530786945821
        53. \n", + "\t
      53. 2.40183329280945
        54. \n", + "\t
      54. 3.55952707260659
        55. \n", + "\t
      55. 5.62016085573608
        56. \n", + "\t
      56. 4.51996678784769
        57. \n", + "\t
      57. 2.47352281259584
        58. \n", + "\t
      58. 6.96193869125596
        59. \n", + "\t
      59. 1.40413755881777
        60. \n", + "\t
      60. 5.93852165338511
        61. \n", + "\t
      61. 2.33925849275367
        62. \n", + "\t
      62. 5.70667832015029
        63. \n", + "\t
      63. 3.1117957788759
        64. \n", + "\t
      64. 1.42356417217865
        65. \n", + "\t
      65. 5.77400423455833
        66. \n", + "\t
      66. 2.17066651272347
        67. \n", + "\t
      67. 3.02605451456146
        68. \n", + "\t
      68. 4.78698030105812
        69. \n", + "\t
      69. 0.822567216353025
        70. \n", + "\t
      70. 4.67166970768179
        71. \n", + "\t
      71. 5.21581624800457
        72. \n", + "\t
      72. 7.37549243283401
        73. \n", + "\t
      73. 8.52054024637886
        74. \n", + "\t
      74. 4.76115963563978
        75. \n", + "\t
      75. 4.17349624886973
        76. \n", + "\t
      76. 4.59846143480839
        77. \n", + "\t
      77. 4.82395826715324
        78. \n", + "\t
      78. 5.56730548773498
        79. \n", + "\t
      79. 6.11786950257202
        80. \n", + "\t
      80. 4.78142592725267
        81. \n", + "\t
      81. 5.41777262375951
        82. \n", + "\t
      82. 4.84969345917657
        83. \n", + "\t
      83. 1.78309809536849
        84. \n", + "\t
      84. 7.01642519022422
        85. \n", + "\t
      85. 10.4795878017509
        86. \n", + "\t
      86. 4.36299248528738
        87. \n", + "\t
      87. 8.23163145616919
        88. \n", + "\t
      88. 7.41817629330243
        89. \n", + "\t
      89. 3.37881064744991
        90. \n", + "\t
      90. 9.58956242715101
        91. \n", + "\t
      91. 8.56005833373336
        92. \n", + "\t
      92. 4.41114465653664
        93. \n", + "\t
      93. 3.79833355261353
        94. \n", + "\t
      94. 5.08973952229395
        95. \n", + "\t
      95. 2.91791303540019
        96. \n", + "\t
      96. 1.86194596305191
        97. \n", + "\t
      97. 5.1556587050125
        98. \n", + "\t
      98. 3.65049930252726
        99. \n", + "\t
      99. 5.4767284373068
        100. \n", + "\t
      100. 6.83189382136618
        101. \n", + "
      \n", + "
      68. \n", + "\t
      68. \n", + "\t
      1. 0.864248860746498
        2. \n", + "\t
      2. 1.15484860117724
        3. \n", + "\t
      3. 2.59714985529143
        4. \n", + "\t
      4. 6.22700556559461
        5. \n", + "\t
      5. 9.91773645335148
        6. \n", + "\t
      6. 4.71889432347649
        7. \n", + "\t
      7. 3.24684596452741
        8. \n", + "\t
      8. 1.41318516130885
        9. \n", + "\t
      9. 2.11384055448055
        10. \n", + "\t
      10. 6.38194694816392
        11. \n", + "\t
      11. 5.03273079742121
        12. \n", + "\t
      12. 5.21845576497706
        13. \n", + "\t
      13. 10.028839968036
        14. \n", + "\t
      14. 3.08357861544214
        15. \n", + "\t
      15. 4.86981817772435
        16. \n", + "\t
      16. 4.09452225146458
        17. \n", + "\t
      17. 5.22067513017165
        18. \n", + "\t
      18. 3.52610801993777
        19. \n", + "\t
      19. 1.44882631474027
        20. \n", + "\t
      20. 3.19709426868719
        21. \n", + "\t
      21. 1.43372560851883
        22. \n", + "\t
      22. 2.6136473162444
        23. \n", + "\t
      23. 2.57853880586019
        24. \n", + "\t
      24. 6.30547656982644
        25. \n", + "\t
      25. 2.87913745534
        26. \n", + "\t
      26. 5.29325859694291
        27. \n", + "\t
      27. 4.32750076564561
        28. \n", + "\t
      28. 1.13263963748403
        29. \n", + "\t
      29. 5.20747534203781
        30. \n", + "\t
      30. 2.44628027936495
        31. \n", + "\t
      31. 4.56218846354685
        32. \n", + "\t
      32. 9.004599777701
        33. \n", + "\t
      33. 2.75661215976526
        34. \n", + "\t
      34. 1.98006935099698
        35. \n", + "\t
      35. 4.46720196727053
        36. \n", + "\t
      36. 2.17821664402199
        37. \n", + "\t
      37. 4.55373245941085
        38. \n", + "\t
      38. 1.51355853792104
        39. \n", + "\t
      39. 1.57173846960718
        40. \n", + "\t
      40. 1.9602465742387
        41. \n", + "\t
      41. 1.71942702604693
        42. \n", + "\t
      42. 1.32679407717308
        43. \n", + "\t
      43. 8.21898871200542
        44. \n", + "\t
      44. 3.18272222326128
        45. \n", + "\t
      45. 7.03206328048234
        46. \n", + "\t
      46. 4.24983172224388
        47. \n", + "\t
      47. 4.10544714937121
        48. \n", + "\t
      48. 1.76936386663209
        49. \n", + "\t
      49. 5.9769785423522
        50. \n", + "\t
      50. 2.18549408534674
        51. \n", + "\t
      51. 9.17315285976485
        52. \n", + "\t
      52. 6.95513035274158
        53. \n", + "\t
      53. 1.48569924757035
        54. \n", + "\t
      54. 5.64404723896267
        55. \n", + "\t
      55. 2.59216757093289
        56. \n", + "\t
      56. 1.15844789245421
        57. \n", + "\t
      57. 5.9609924776401
        58. \n", + "\t
      58. 1.8942592768867
        59. \n", + "\t
      59. 5.28009811803447
        60. \n", + "\t
      60. 0.778723662920295
        61. \n", + "\t
      61. 1.6759297343443
        62. \n", + "\t
      62. 4.9932820631922
        63. \n", + "\t
      63. 1.17538509333124
        64. \n", + "\t
      64. 7.4438168487321
        65. \n", + "\t
      65. 4.83211860442465
        66. \n", + "\t
      66. 4.27894534441447
        67. \n", + "\t
      67. 6.81943610713943
        68. \n", + "\t
      68. 1.73570862882857
        69. \n", + "\t
      69. 4.72884126789458
        70. \n", + "\t
      70. 4.01305559305869
        71. \n", + "\t
      71. 4.61249921822492
        72. \n", + "\t
      72. 8.48602626409846
        73. \n", + "\t
      73. 2.02635516282881
        74. \n", + "\t
      74. 8.29710897010386
        75. \n", + "\t
      75. 1.62315947913346
        76. \n", + "\t
      76. 1.77066845540692
        77. \n", + "\t
      77. 2.32931708918823
        78. \n", + "\t
      78. 2.64087424896601
        79. \n", + "\t
      79. 7.29781436001596
        80. \n", + "\t
      80. 6.86175865912156
        81. \n", + "\t
      81. 5.4970543578394
        82. \n", + "\t
      82. 5.05256754540549
        83. \n", + "\t
      83. 0.836952411706023
        84. \n", + "\t
      84. 2.0973156617608
        85. \n", + "\t
      85. 2.85883201512832
        86. \n", + "\t
      86. 2.15066816286559
        87. \n", + "\t
      87. 7.36505597360661
        88. \n", + "\t
      88. 4.45191587753493
        89. \n", + "\t
      89. 5.73299766505395
        90. \n", + "\t
      90. 2.03795820052907
        91. \n", + "\t
      91. 3.88535890031272
        92. \n", + "\t
      92. 0.743072959908006
        93. \n", + "\t
      93. 4.40205092497136
        94. \n", + "\t
      94. 5.32482066065398
        95. \n", + "\t
      95. 8.04777845890047
        96. \n", + "\t
      96. 2.09377942892305
        97. \n", + "\t
      97. 1.75164411693257
        98. \n", + "\t
      98. 1.19538575238583
        99. \n", + "\t
      99. 2.36796260556974
        100. \n", + "\t
      100. 2.82869337821629
        101. \n", + "
      \n", + "
      69. \n", + "\t
      69. \n", + "\t
      1. 4.77751783555993
        2. \n", + "\t
      2. 1.50181340690474
        3. \n", + "\t
      3. 8.25315485509176
        4. \n", + "\t
      4. 8.82498067511228
        5. \n", + "\t
      5. 5.00245195143103
        6. \n", + "\t
      6. 4.61269762570983
        7. \n", + "\t
      7. 1.94354951422437
        8. \n", + "\t
      8. 4.71175456599913
        9. \n", + "\t
      9. 8.56202903701695
        10. \n", + "\t
      10. 3.17524115933875
        11. \n", + "\t
      11. 4.02976535475286
        12. \n", + "\t
      12. 6.02003817990587
        13. \n", + "\t
      13. 2.66550093025231
        14. \n", + "\t
      14. 8.70926809126115
        15. \n", + "\t
      15. 2.28556264117042
        16. \n", + "\t
      16. 2.52862548297492
        17. \n", + "\t
      17. 5.63332687485129
        18. \n", + "\t
      18. 1.02580534646053
        19. \n", + "\t
      19. 4.11869644669669
        20. \n", + "\t
      20. 5.23088208372365
        21. \n", + "\t
      21. 4.81915597546768
        22. \n", + "\t
      22. 2.3958989986212
        23. \n", + "\t
      23. 3.17935278587101
        24. \n", + "\t
      24. 4.03554291222752
        25. \n", + "\t
      25. 6.24293939992741
        26. \n", + "\t
      26. 3.13791590113189
        27. \n", + "\t
      27. 1.30108875329732
        28. \n", + "\t
      28. 2.47958070899339
        29. \n", + "\t
      29. 6.58794347313938
        30. \n", + "\t
      30. 1.72030330415514
        31. \n", + "\t
      31. 5.76915166888579
        32. \n", + "\t
      32. 2.67088426136107
        33. \n", + "\t
      33. 1.37925425338048
        34. \n", + "\t
      34. 4.54179023843474
        35. \n", + "\t
      35. 6.34911196183524
        36. \n", + "\t
      36. 5.35304220278855
        37. \n", + "\t
      37. 3.79733669943662
        38. \n", + "\t
      38. 6.9100526755127
        39. \n", + "\t
      39. 6.43327371482268
        40. \n", + "\t
      40. 6.14813376420596
        41. \n", + "\t
      41. 5.05048186333306
        42. \n", + "\t
      42. 5.05264670991222
        43. \n", + "\t
      43. 3.83433293115578
        44. \n", + "\t
      44. 2.26192864381509
        45. \n", + "\t
      45. 3.08707353259043
        46. \n", + "\t
      46. 2.44305116614695
        47. \n", + "\t
      47. 3.06245139716255
        48. \n", + "\t
      48. 1.51997415046064
        49. \n", + "\t
      49. 4.14685269635558
        50. \n", + "\t
      50. 3.18585116948172
        51. \n", + "\t
      51. 2.8203930881321
        52. \n", + "\t
      52. 2.32319306310323
        53. \n", + "\t
      53. 5.502792390916
        54. \n", + "\t
      54. 3.62245540570518
        55. \n", + "\t
      55. 6.99704023789941
        56. \n", + "\t
      56. 1.96630681109209
        57. \n", + "\t
      57. 5.07291019134841
        58. \n", + "\t
      58. 5.27686577609213
        59. \n", + "\t
      59. 4.72667038522742
        60. \n", + "\t
      60. 5.58363484889539
        61. \n", + "\t
      61. 8.63437964319233
        62. \n", + "\t
      62. 5.95721900992292
        63. \n", + "\t
      63. 1.02558625548393
        64. \n", + "\t
      64. 6.88165152471318
        65. \n", + "\t
      65. 4.55766525697807
        66. \n", + "\t
      66. 3.1252902196425
        67. \n", + "\t
      67. 3.77711129779361
        68. \n", + "\t
      68. 5.67132762366766
        69. \n", + "\t
      69. 2.36266293934458
        70. \n", + "\t
      70. 6.3407989456477
        71. \n", + "\t
      71. 6.42144109351047
        72. \n", + "\t
      72. 5.20313555603971
        73. \n", + "\t
      73. 4.13118905463681
        74. \n", + "\t
      74. 4.51702921354012
        75. \n", + "\t
      75. 3.82675592165334
        76. \n", + "\t
      76. 4.62911470590345
        77. \n", + "\t
      77. 3.38519911411192
        78. \n", + "\t
      78. 3.55762529402159
        79. \n", + "\t
      79. 6.08234994209306
        80. \n", + "\t
      80. 2.98132110665515
        81. \n", + "\t
      81. 3.26805106670941
        82. \n", + "\t
      82. 4.89828615617531
        83. \n", + "\t
      83. 2.20953220751425
        84. \n", + "\t
      84. 3.56176952786722
        85. \n", + "\t
      85. 4.26268716916761
        86. \n", + "\t
      86. 6.32436389533416
        87. \n", + "\t
      87. 2.20529271483538
        88. \n", + "\t
      88. 3.87296765032799
        89. \n", + "\t
      89. 9.27590984074186
        90. \n", + "\t
      90. 3.88793341108795
        91. \n", + "\t
      91. 1.5163301157392
        92. \n", + "\t
      92. 1.55697801979017
        93. \n", + "\t
      93. 5.63153542217501
        94. \n", + "\t
      94. 2.9099865494996
        95. \n", + "\t
      95. 4.31993156823129
        96. \n", + "\t
      96. 3.25115738355448
        97. \n", + "\t
      97. 3.21630608265071
        98. \n", + "\t
      98. 3.39392311699923
        99. \n", + "\t
      99. 4.80856008727909
        100. \n", + "\t
      100. 5.78557839441533
        101. \n", + "
      \n", + "
      70. \n", + "\t
      70. \n", + "\t
      1. 4.57126946057161
        2. \n", + "\t
      2. 6.67789449202461
        3. \n", + "\t
      3. 8.66144256251643
        4. \n", + "\t
      4. 5.08386900505254
        5. \n", + "\t
      5. 2.30698152773658
        6. \n", + "\t
      6. 7.74280513653933
        7. \n", + "\t
      7. 7.04367435993431
        8. \n", + "\t
      8. 7.29566104291055
        9. \n", + "\t
      9. 5.10324661066667
        10. \n", + "\t
      10. 4.18370499455047
        11. \n", + "\t
      11. 5.2351162734055
        12. \n", + "\t
      12. 6.12270798861699
        13. \n", + "\t
      13. 8.07533221059011
        14. \n", + "\t
      14. 6.54842200256773
        15. \n", + "\t
      15. 1.44711630315727
        16. \n", + "\t
      16. 10.0708282135404
        17. \n", + "\t
      17. 6.72025952182293
        18. \n", + "\t
      18. 6.79482917890899
        19. \n", + "\t
      19. 7.12188230886894
        20. \n", + "\t
      20. 1.96824004379955
        21. \n", + "\t
      21. 7.24745371989986
        22. \n", + "\t
      22. 3.23249331240775
        23. \n", + "\t
      23. 4.55688503688717
        24. \n", + "\t
      24. 6.89095808900796
        25. \n", + "\t
      25. 11.2491984772142
        26. \n", + "\t
      26. 3.21493833278253
        27. \n", + "\t
      27. 5.92363157411528
        28. \n", + "\t
      28. 2.0434436301064
        29. \n", + "\t
      29. 5.63282719494979
        30. \n", + "\t
      30. 1.83848136654976
        31. \n", + "\t
      31. 4.43534240119918
        32. \n", + "\t
      32. 1.62696288552613
        33. \n", + "\t
      33. 4.48271603769048
        34. \n", + "\t
      34. 0.888087911017667
        35. \n", + "\t
      35. 1.02492905420767
        36. \n", + "\t
      36. 3.97245323242808
        37. \n", + "\t
      37. 4.91648947437417
        38. \n", + "\t
      38. 6.28689311385437
        39. \n", + "\t
      39. 3.39036953020881
        40. \n", + "\t
      40. 3.66685122960235
        41. \n", + "\t
      41. 5.10569272948829
        42. \n", + "\t
      42. 3.63785753121367
        43. \n", + "\t
      43. 5.79480153133099
        44. \n", + "\t
      44. 5.73731183117931
        45. \n", + "\t
      45. 2.06064135505717
        46. \n", + "\t
      46. 6.86320635767114
        47. \n", + "\t
      47. 7.38812059862335
        48. \n", + "\t
      48. 9.69628073975643
        49. \n", + "\t
      49. 4.49287728187392
        50. \n", + "\t
      50. 10.5455924850037
        51. \n", + "\t
      51. 3.96610803112858
        52. \n", + "\t
      52. 1.83871112553978
        53. \n", + "\t
      53. 2.47164880862859
        54. \n", + "\t
      54. 4.51672604791666
        55. \n", + "\t
      55. 8.48521359973934
        56. \n", + "\t
      56. 4.61596190107504
        57. \n", + "\t
      57. 3.73383272665975
        58. \n", + "\t
      58. 3.77793332394955
        59. \n", + "\t
      59. 5.06093746167596
        60. \n", + "\t
      60. 6.82789992096864
        61. \n", + "\t
      61. 0.794439113170829
        62. \n", + "\t
      62. 5.27295119194807
        63. \n", + "\t
      63. 3.01462467010128
        64. \n", + "\t
      64. 5.36740710722695
        65. \n", + "\t
      65. 4.79853599178977
        66. \n", + "\t
      66. 6.88229870797736
        67. \n", + "\t
      67. 2.90407608934002
        68. \n", + "\t
      68. 5.0456171888329
        69. \n", + "\t
      69. 6.84460280973204
        70. \n", + "\t
      70. 3.0106792374973
        71. \n", + "\t
      71. 4.75583394530189
        72. \n", + "\t
      72. 2.72691823572397
        73. \n", + "\t
      73. 2.81600610029068
        74. \n", + "\t
      74. 6.4369338851798
        75. \n", + "\t
      75. 4.93477380113252
        76. \n", + "\t
      76. 8.86229523172221
        77. \n", + "\t
      77. 2.32986340433591
        78. \n", + "\t
      78. 7.30818568713016
        79. \n", + "\t
      79. 5.81068407440525
        80. \n", + "\t
      80. 2.3111357039581
        81. \n", + "\t
      81. 5.248009725324
        82. \n", + "\t
      82. 6.16184711334239
        83. \n", + "\t
      83. 3.18430083496391
        84. \n", + "\t
      84. 5.37243936564175
        85. \n", + "\t
      85. 6.67334375913578
        86. \n", + "\t
      86. 5.94933145606543
        87. \n", + "\t
      87. 4.66558905804633
        88. \n", + "\t
      88. 6.32543115328418
        89. \n", + "\t
      89. 4.13889607838576
        90. \n", + "\t
      90. 7.68958884571917
        91. \n", + "\t
      91. 5.18739363452738
        92. \n", + "\t
      92. 5.51617411645692
        93. \n", + "\t
      93. 5.43449147114348
        94. \n", + "\t
      94. 2.45651674447292
        95. \n", + "\t
      95. 5.73928226886792
        96. \n", + "\t
      96. 2.81363685232315
        97. \n", + "\t
      97. 2.67131015040992
        98. \n", + "\t
      98. 2.78294355985262
        99. \n", + "\t
      99. 6.22265905538699
        100. \n", + "\t
      100. 5.01665141975664
        101. \n", + "
      \n", + "
      71. \n", + "\t
      71. \n", + "\t
      1. 1.76890301951349
        2. \n", + "\t
      2. 2.35808133016208
        3. \n", + "\t
      3. 2.32717963576327
        4. \n", + "\t
      4. 1.01316212750966
        5. \n", + "\t
      5. 3.16842886701011
        6. \n", + "\t
      6. 2.371767499237
        7. \n", + "\t
      7. 5.4321482676727
        8. \n", + "\t
      8. 6.309141226879
        9. \n", + "\t
      9. 3.30310747934082
        10. \n", + "\t
      10. 1.47076833210492
        11. \n", + "\t
      11. 2.0241974194176
        12. \n", + "\t
      12. 0.706450142623091
        13. \n", + "\t
      13. 1.4237629980295
        14. \n", + "\t
      14. 4.92854523010404
        15. \n", + "\t
      15. 6.12462690965654
        16. \n", + "\t
      16. 2.13991511122868
        17. \n", + "\t
      17. 1.64941919204715
        18. \n", + "\t
      18. 5.95049973627339
        19. \n", + "\t
      19. 2.04080286638916
        20. \n", + "\t
      20. 5.65887317966678
        21. \n", + "\t
      21. 2.14597982281958
        22. \n", + "\t
      22. 4.91937749450455
        23. \n", + "\t
      23. 2.18784884274075
        24. \n", + "\t
      24. 1.82358446725639
        25. \n", + "\t
      25. 2.70432029149942
        26. \n", + "\t
      26. 7.85532649365976
        27. \n", + "\t
      27. 1.70169920510855
        28. \n", + "\t
      28. 1.60482054548604
        29. \n", + "\t
      29. 2.28030628218061
        30. \n", + "\t
      30. 2.38103084444185
        31. \n", + "\t
      31. 3.69140919378551
        32. \n", + "\t
      32. 5.01993513579494
        33. \n", + "\t
      33. 1.67993980509774
        34. \n", + "\t
      34. 6.84249096950267
        35. \n", + "\t
      35. 2.03738155966197
        36. \n", + "\t
      36. 1.76733405714144
        37. \n", + "\t
      37. 1.39953649278469
        38. \n", + "\t
      38. 4.60161694833327
        39. \n", + "\t
      39. 4.07948819141959
        40. \n", + "\t
      40. 2.4969775444667
        41. \n", + "\t
      41. 0.647654284781368
        42. \n", + "\t
      42. 2.74866501461501
        43. \n", + "\t
      43. 1.98241083867288
        44. \n", + "\t
      44. 1.3522876727035
        45. \n", + "\t
      45. 1.24530416542352
        46. \n", + "\t
      46. 1.19064488752225
        47. \n", + "\t
      47. 1.80975191206809
        48. \n", + "\t
      48. 6.84917851467468
        49. \n", + "\t
      49. 2.17408146933423
        50. \n", + "\t
      50. 1.95320826455444
        51. \n", + "\t
      51. 1.66289807666762
        52. \n", + "\t
      52. 1.47357892798773
        53. \n", + "\t
      53. 4.60223350971
        54. \n", + "\t
      54. 5.49934321501642
        55. \n", + "\t
      55. 4.73216161030266
        56. \n", + "\t
      56. 0.960089442652559
        57. \n", + "\t
      57. 1.69257643347035
        58. \n", + "\t
      58. 5.53034681551115
        59. \n", + "\t
      59. 1.85841468458776
        60. \n", + "\t
      60. 6.21060855537297
        61. \n", + "\t
      61. 7.68376242838788
        62. \n", + "\t
      62. 1.92138993759571
        63. \n", + "\t
      63. 1.8104486831727
        64. \n", + "\t
      64. 9.17549585661261
        65. \n", + "\t
      65. 2.40373001941394
        66. \n", + "\t
      66. 1.14742835126398
        67. \n", + "\t
      67. 5.39934441962477
        68. \n", + "\t
      68. 2.02391568762562
        69. \n", + "\t
      69. 2.34335180824849
        70. \n", + "\t
      70. 1.34530859748677
        71. \n", + "\t
      71. 0.631007262470096
        72. \n", + "\t
      72. 1.04488082206399
        73. \n", + "\t
      73. 1.29306791527893
        74. \n", + "\t
      74. 2.33599836266792
        75. \n", + "\t
      75. 1.5091546562768
        76. \n", + "\t
      76. 1.92062581932371
        77. \n", + "\t
      77. 7.31072447260951
        78. \n", + "\t
      78. 1.78085354949817
        79. \n", + "\t
      79. 3.72662556859318
        80. \n", + "\t
      80. 0.993406956587849
        81. \n", + "\t
      81. 2.0778841940522
        82. \n", + "\t
      82. 1.42705952042098
        83. \n", + "\t
      83. 2.38551153295107
        84. \n", + "\t
      84. 1.45128983404975
        85. \n", + "\t
      85. 1.9458155814271
        86. \n", + "\t
      86. 7.28996182405847
        87. \n", + "\t
      87. 1.34557864272403
        88. \n", + "\t
      88. 1.40484472812475
        89. \n", + "\t
      89. 2.49251448417875
        90. \n", + "\t
      90. 2.42247105972821
        91. \n", + "\t
      91. 1.90905120829618
        92. \n", + "\t
      92. 2.36341110525606
        93. \n", + "\t
      93. 2.7495939038477
        94. \n", + "\t
      94. 1.77684968635
        95. \n", + "\t
      95. 1.55937636863072
        96. \n", + "\t
      96. 1.48483136607147
        97. \n", + "\t
      97. 1.37806901249374
        98. \n", + "\t
      98. 2.10338829674666
        99. \n", + "\t
      99. 2.0533066104242
        100. \n", + "\t
      100. 2.25102566115827
        101. \n", + "
      \n", + "
      72. \n", + "\t
      72. \n", + "\t
      1. 1.68724685714191
        2. \n", + "\t
      2. 6.74565703868783
        3. \n", + "\t
      3. 2.05227579685218
        4. \n", + "\t
      4. 4.62470949807199
        5. \n", + "\t
      5. 4.35961833702995
        6. \n", + "\t
      6. 7.03805100933127
        7. \n", + "\t
      7. 6.91738080345335
        8. \n", + "\t
      8. 1.65101826860077
        9. \n", + "\t
      9. 5.75863073691877
        10. \n", + "\t
      10. 8.15941994802588
        11. \n", + "\t
      11. 6.63690643656374
        12. \n", + "\t
      12. 1.90960321369548
        13. \n", + "\t
      13. 3.97553051870025
        14. \n", + "\t
      14. 5.59176808975252
        15. \n", + "\t
      15. 0.951022814718906
        16. \n", + "\t
      16. 5.61249523321017
        17. \n", + "\t
      17. 8.34639659650653
        18. \n", + "\t
      18. 5.22003267582681
        19. \n", + "\t
      19. 3.36039501634152
        20. \n", + "\t
      20. 4.97378123248922
        21. \n", + "\t
      21. 7.3031570019723
        22. \n", + "\t
      22. 8.48525909863797
        23. \n", + "\t
      23. 7.51844557721893
        24. \n", + "\t
      24. 1.99209000332753
        25. \n", + "\t
      25. 2.68284280611456
        26. \n", + "\t
      26. 3.00374012743892
        27. \n", + "\t
      27. 2.66754453369689
        28. \n", + "\t
      28. 5.18547150879402
        29. \n", + "\t
      29. 5.31810238789214
        30. \n", + "\t
      30. 2.68295614436435
        31. \n", + "\t
      31. 7.61933576299034
        32. \n", + "\t
      32. 1.20825848050844
        33. \n", + "\t
      33. 6.18937092150357
        34. \n", + "\t
      34. 1.77342506656351
        35. \n", + "\t
      35. 4.1955770923176
        36. \n", + "\t
      36. 1.54391116664641
        37. \n", + "\t
      37. 6.14486253053876
        38. \n", + "\t
      38. 3.77450182521995
        39. \n", + "\t
      39. 8.29751606668701
        40. \n", + "\t
      40. 2.79854468804304
        41. \n", + "\t
      41. 5.9874683625307
        42. \n", + "\t
      42. 4.4495072906609
        43. \n", + "\t
      43. 4.75961576780932
        44. \n", + "\t
      44. 6.9072694528598
        45. \n", + "\t
      45. 3.39761345841932
        46. \n", + "\t
      46. 3.81318847776908
        47. \n", + "\t
      47. 2.24878593200296
        48. \n", + "\t
      48. 4.7059875162537
        49. \n", + "\t
      49. 4.31403880336294
        50. \n", + "\t
      50. 1.99549915738472
        51. \n", + "\t
      51. 6.62303308481327
        52. \n", + "\t
      52. 4.93888799050867
        53. \n", + "\t
      53. 4.03515860223552
        54. \n", + "\t
      54. 8.32023340175775
        55. \n", + "\t
      55. 6.93276126772945
        56. \n", + "\t
      56. 5.23045296860607
        57. \n", + "\t
      57. 2.95069349170613
        58. \n", + "\t
      58. 6.78473401644452
        59. \n", + "\t
      59. 4.07082337627285
        60. \n", + "\t
      60. 6.06477218502409
        61. \n", + "\t
      61. 3.1924197760028
        62. \n", + "\t
      62. 2.46099328550326
        63. \n", + "\t
      63. 3.58666575259936
        64. \n", + "\t
      64. 3.13510988390331
        65. \n", + "\t
      65. 6.69649840958025
        66. \n", + "\t
      66. 7.26569780679599
        67. \n", + "\t
      67. 2.54061982302086
        68. \n", + "\t
      68. 8.53881027571375
        69. \n", + "\t
      69. 3.00221870191138
        70. \n", + "\t
      70. 2.46237442522211
        71. \n", + "\t
      71. 1.5043483254728
        72. \n", + "\t
      72. 4.02013594789082
        73. \n", + "\t
      73. 6.45288263580192
        74. \n", + "\t
      74. 6.66101552292097
        75. \n", + "\t
      75. 1.67198192383781
        76. \n", + "\t
      76. 2.84899978080922
        77. \n", + "\t
      77. 9.41439438519734
        78. \n", + "\t
      78. 7.10524346170967
        79. \n", + "\t
      79. 3.42567545216714
        80. \n", + "\t
      80. 4.61684580600752
        81. \n", + "\t
      81. 2.73273369247762
        82. \n", + "\t
      82. 8.67556445153399
        83. \n", + "\t
      83. 6.68219910569444
        84. \n", + "\t
      84. 3.8641769773138
        85. \n", + "\t
      85. 3.17751040202421
        86. \n", + "\t
      86. 4.97231501074581
        87. \n", + "\t
      87. 9.22250835320553
        88. \n", + "\t
      88. 7.51653425044393
        89. \n", + "\t
      89. 3.44812462243703
        90. \n", + "\t
      90. 3.37019850233068
        91. \n", + "\t
      91. 5.53657783240604
        92. \n", + "\t
      92. 3.53901827583571
        93. \n", + "\t
      93. 7.84682149621883
        94. \n", + "\t
      94. 2.94029390649876
        95. \n", + "\t
      95. 5.93701060639764
        96. \n", + "\t
      96. 7.2854715066372
        97. \n", + "\t
      97. 8.0389513305499
        98. \n", + "\t
      98. 7.12051800773126
        99. \n", + "\t
      99. 8.02715666613302
        100. \n", + "\t
      100. 0.464174419573987
        101. \n", + "
      \n", + "
      73. \n", + "\t
      73. \n", + "\t
      1. 2.36664681785727
        2. \n", + "\t
      2. 2.77601294624839
        3. \n", + "\t
      3. 2.38613122899192
        4. \n", + "\t
      4. 4.49407238564666
        5. \n", + "\t
      5. 5.70479349077544
        6. \n", + "\t
      6. 2.02107135791292
        7. \n", + "\t
      7. 3.03277077712552
        8. \n", + "\t
      8. 1.26585722387425
        9. \n", + "\t
      9. 2.60663605304721
        10. \n", + "\t
      10. 0.968271582478798
        11. \n", + "\t
      11. 1.26153244262782
        12. \n", + "\t
      12. 3.02361969621647
        13. \n", + "\t
      13. 6.19279825183431
        14. \n", + "\t
      14. 4.15865897814283
        15. \n", + "\t
      15. 2.91640071256775
        16. \n", + "\t
      16. 1.18626334537743
        17. \n", + "\t
      17. 3.62367043672678
        18. \n", + "\t
      18. 3.13476048328428
        19. \n", + "\t
      19. 1.16757630180125
        20. \n", + "\t
      20. 2.13371341942681
        21. \n", + "\t
      21. 2.30508613333178
        22. \n", + "\t
      22. 3.28113363557286
        23. \n", + "\t
      23. 0.910468479718342
        24. \n", + "\t
      24. 2.82934823683648
        25. \n", + "\t
      25. 7.17454821852384
        26. \n", + "\t
      26. 9.27102598658334
        27. \n", + "\t
      27. 4.23298345572091
        28. \n", + "\t
      28. 2.73912137840392
        29. \n", + "\t
      29. 2.15493618241705
        30. \n", + "\t
      30. 2.1176285311807
        31. \n", + "\t
      31. 7.76152584622374
        32. \n", + "\t
      32. 3.15497836683579
        33. \n", + "\t
      33. 4.16488010433798
        34. \n", + "\t
      34. 1.99522540045737
        35. \n", + "\t
      35. 7.14460783747474
        36. \n", + "\t
      36. 1.6399682720975
        37. \n", + "\t
      37. 9.29988614593807
        38. \n", + "\t
      38. 1.00421914718954
        39. \n", + "\t
      39. 4.14661842371022
        40. \n", + "\t
      40. 4.05597621311141
        41. \n", + "\t
      41. 3.81631346677624
        42. \n", + "\t
      42. 5.49621282406382
        43. \n", + "\t
      43. 2.78293351913579
        44. \n", + "\t
      44. 4.63100572260854
        45. \n", + "\t
      45. 7.41626676183171
        46. \n", + "\t
      46. 4.98159053437918
        47. \n", + "\t
      47. 3.87477677661819
        48. \n", + "\t
      48. 3.57808369902723
        49. \n", + "\t
      49. 2.41821392355958
        50. \n", + "\t
      50. 4.06018144877877
        51. \n", + "\t
      51. 1.73933882525882
        52. \n", + "\t
      52. 2.30394374831065
        53. \n", + "\t
      53. 3.47310211207815
        54. \n", + "\t
      54. 3.66794425106924
        55. \n", + "\t
      55. 1.66138121908064
        56. \n", + "\t
      56. 3.52663246650176
        57. \n", + "\t
      57. 4.32571189751078
        58. \n", + "\t
      58. 5.2714383963109
        59. \n", + "\t
      59. 0.917996115579281
        60. \n", + "\t
      60. 4.94818581284054
        61. \n", + "\t
      61. 3.15475732254757
        62. \n", + "\t
      62. 1.34928899689317
        63. \n", + "\t
      63. 4.41178282876862
        64. \n", + "\t
      64. 6.39088086745739
        65. \n", + "\t
      65. 1.14728970625118
        66. \n", + "\t
      66. 3.51572691329325
        67. \n", + "\t
      67. 6.53238843993024
        68. \n", + "\t
      68. 8.47651191517359
        69. \n", + "\t
      69. 2.17989085454754
        70. \n", + "\t
      70. 3.5834778521308
        71. \n", + "\t
      71. 4.46337856429022
        72. \n", + "\t
      72. 0.74206741862672
        73. \n", + "\t
      73. 1.77890603552098
        74. \n", + "\t
      74. 7.03103159114305
        75. \n", + "\t
      75. 6.79708021070178
        76. \n", + "\t
      76. 1.66877862560933
        77. \n", + "\t
      77. 1.65930707091079
        78. \n", + "\t
      78. 2.06641233869669
        79. \n", + "\t
      79. 4.6188084903449
        80. \n", + "\t
      80. 2.22608289946346
        81. \n", + "\t
      81. 4.5247607331794
        82. \n", + "\t
      82. 6.76063160984919
        83. \n", + "\t
      83. 3.96291159276653
        84. \n", + "\t
      84. 1.6059723411629
        85. \n", + "\t
      85. 3.22519059904037
        86. \n", + "\t
      86. 5.44540620420698
        87. \n", + "\t
      87. 1.26597844736615
        88. \n", + "\t
      88. 4.41748823585523
        89. \n", + "\t
      89. 1.95896668295379
        90. \n", + "\t
      90. 1.94844358461935
        91. \n", + "\t
      91. 2.48340730728561
        92. \n", + "\t
      92. 1.84767360671631
        93. \n", + "\t
      93. 4.60459124946241
        94. \n", + "\t
      94. 2.1455819008596
        95. \n", + "\t
      95. 6.19212283547296
        96. \n", + "\t
      96. 6.17472109628057
        97. \n", + "\t
      97. 5.04510878074405
        98. \n", + "\t
      98. 2.62807125481203
        99. \n", + "\t
      99. 10.9950404661993
        100. \n", + "\t
      100. 1.74907606967841
        101. \n", + "
      \n", + "
      74. \n", + "\t
      74. \n", + "\t
      1. 5.62398110675792
        2. \n", + "\t
      2. 5.68641255995366
        3. \n", + "\t
      3. 2.36196789518933
        4. \n", + "\t
      4. 0.855563942450975
        5. \n", + "\t
      5. 2.59886217902757
        6. \n", + "\t
      6. 7.60041373222786
        7. \n", + "\t
      7. 4.5838122734276
        8. \n", + "\t
      8. 5.36312398004334
        9. \n", + "\t
      9. 1.32655785553643
        10. \n", + "\t
      10. 0.883131784541811
        11. \n", + "\t
      11. 6.25286085858813
        12. \n", + "\t
      12. 3.24822909610501
        13. \n", + "\t
      13. 3.93312507238832
        14. \n", + "\t
      14. 2.66447314073024
        15. \n", + "\t
      15. 6.87319725439073
        16. \n", + "\t
      16. 0.72734678332967
        17. \n", + "\t
      17. 3.95641891728055
        18. \n", + "\t
      18. 3.55605706164376
        19. \n", + "\t
      19. 4.5558571257781
        20. \n", + "\t
      20. 2.20464974083312
        21. \n", + "\t
      21. 5.05334987822719
        22. \n", + "\t
      22. 4.42342398702277
        23. \n", + "\t
      23. 6.78222616074616
        24. \n", + "\t
      24. 2.42628752359015
        25. \n", + "\t
      25. 1.43400208641987
        26. \n", + "\t
      26. 3.82472076972783
        27. \n", + "\t
      27. 4.82925469678008
        28. \n", + "\t
      28. 3.64792995986784
        29. \n", + "\t
      29. 2.94763349430715
        30. \n", + "\t
      30. 3.35112698232879
        31. \n", + "\t
      31. 1.10213949907312
        32. \n", + "\t
      32. 2.64829260752775
        33. \n", + "\t
      33. 2.22849488920324
        34. \n", + "\t
      34. 4.70906479781339
        35. \n", + "\t
      35. 2.49156368232667
        36. \n", + "\t
      36. 1.4705913203373
        37. \n", + "\t
      37. 2.81338788124063
        38. \n", + "\t
      38. 4.33288166245358
        39. \n", + "\t
      39. 2.46801568239411
        40. \n", + "\t
      40. 4.46578904670329
        41. \n", + "\t
      41. 3.67120508186403
        42. \n", + "\t
      42. 3.70539216811631
        43. \n", + "\t
      43. 2.88427673956826
        44. \n", + "\t
      44. 5.04006325520057
        45. \n", + "\t
      45. 6.14472049689907
        46. \n", + "\t
      46. 1.97641698237625
        47. \n", + "\t
      47. 3.84161299375885
        48. \n", + "\t
      48. 5.50592452927114
        49. \n", + "\t
      49. 6.88539486606607
        50. \n", + "\t
      50. 1.33561607018903
        51. \n", + "\t
      51. 4.81191731976499
        52. \n", + "\t
      52. 8.49763880007359
        53. \n", + "\t
      53. 5.44320737076765
        54. \n", + "\t
      54. 2.71177624069938
        55. \n", + "\t
      55. 3.61171025806985
        56. \n", + "\t
      56. 2.34012411720224
        57. \n", + "\t
      57. 4.11345676889389
        58. \n", + "\t
      58. 2.02086910682288
        59. \n", + "\t
      59. 0.731584867413021
        60. \n", + "\t
      60. 1.97285184588474
        61. \n", + "\t
      61. 2.90802786649531
        62. \n", + "\t
      62. 1.27339602785075
        63. \n", + "\t
      63. 0.968865903276661
        64. \n", + "\t
      64. 3.11356364061014
        65. \n", + "\t
      65. 5.96833454348547
        66. \n", + "\t
      66. 2.38737670888344
        67. \n", + "\t
      67. 5.23847411679569
        68. \n", + "\t
      68. 2.00340874360239
        69. \n", + "\t
      69. 4.65876639020708
        70. \n", + "\t
      70. 5.88989056231236
        71. \n", + "\t
      71. 4.80698663778913
        72. \n", + "\t
      72. 1.37142284199291
        73. \n", + "\t
      73. 1.70499554262267
        74. \n", + "\t
      74. 2.2826669749161
        75. \n", + "\t
      75. 2.33043764336848
        76. \n", + "\t
      76. 2.33939243862777
        77. \n", + "\t
      77. 6.14479504706258
        78. \n", + "\t
      78. 1.06507076730129
        79. \n", + "\t
      79. 7.44840930095078
        80. \n", + "\t
      80. 1.73192065882674
        81. \n", + "\t
      81. 5.84692384203525
        82. \n", + "\t
      82. 0.721130168207449
        83. \n", + "\t
      83. 8.70025465789412
        84. \n", + "\t
      84. 1.55810629681131
        85. \n", + "\t
      85. 0.52306237776899
        86. \n", + "\t
      86. 4.03600221634411
        87. \n", + "\t
      87. 3.52190849522985
        88. \n", + "\t
      88. 1.36060912871804
        89. \n", + "\t
      89. 6.54883771091863
        90. \n", + "\t
      90. 3.82478701912917
        91. \n", + "\t
      91. 6.77978985739357
        92. \n", + "\t
      92. 2.59340344909351
        93. \n", + "\t
      93. 3.75799624279437
        94. \n", + "\t
      94. 5.20372956504532
        95. \n", + "\t
      95. 2.25787579972875
        96. \n", + "\t
      96. 3.00924321357015
        97. \n", + "\t
      97. 4.94198687290991
        98. \n", + "\t
      98. 4.74425243907728
        99. \n", + "\t
      99. 1.6522630141544
        100. \n", + "\t
      100. 3.73722704264112
        101. \n", + "
      \n", + "
      75. \n", + "\t
      75. \n", + "\t
      1. 7.90531782462874
        2. \n", + "\t
      2. 7.20257655123111
        3. \n", + "\t
      3. 5.6533401037784
        4. \n", + "\t
      4. 7.56899961860696
        5. \n", + "\t
      5. 2.58939305900031
        6. \n", + "\t
      6. 5.49776533857881
        7. \n", + "\t
      7. 5.18126355420917
        8. \n", + "\t
      8. 1.57892394570075
        9. \n", + "\t
      9. 1.75536185991529
        10. \n", + "\t
      10. 3.16923811758399
        11. \n", + "\t
      11. 7.72321615951583
        12. \n", + "\t
      12. 7.67494029246021
        13. \n", + "\t
      13. 7.97921414747413
        14. \n", + "\t
      14. 4.00560530639551
        15. \n", + "\t
      15. 6.88121858741306
        16. \n", + "\t
      16. 8.60691391259484
        17. \n", + "\t
      17. 1.53939159723576
        18. \n", + "\t
      18. 6.52206177232123
        19. \n", + "\t
      19. 3.02459952532313
        20. \n", + "\t
      20. 2.84676533706148
        21. \n", + "\t
      21. 7.03624579821638
        22. \n", + "\t
      22. 4.70941210900667
        23. \n", + "\t
      23. 5.25677218366363
        24. \n", + "\t
      24. 5.27253219091009
        25. \n", + "\t
      25. 5.24478412007212
        26. \n", + "\t
      26. 4.42161092472613
        27. \n", + "\t
      27. 3.3560263954528
        28. \n", + "\t
      28. 5.26735331553799
        29. \n", + "\t
      29. 5.54639243446525
        30. \n", + "\t
      30. 4.80447775464904
        31. \n", + "\t
      31. 2.00877716611255
        32. \n", + "\t
      32. 5.68249958126617
        33. \n", + "\t
      33. 1.64484768384717
        34. \n", + "\t
      34. 4.77996566873754
        35. \n", + "\t
      35. 7.77252567710155
        36. \n", + "\t
      36. 10.1324141396795
        37. \n", + "\t
      37. 5.98460470730715
        38. \n", + "\t
      38. 7.20990363016213
        39. \n", + "\t
      39. 3.99068044173922
        40. \n", + "\t
      40. 7.15105035593642
        41. \n", + "\t
      41. 13.103124896867
        42. \n", + "\t
      42. 5.42571071202057
        43. \n", + "\t
      43. 3.55464663182209
        44. \n", + "\t
      44. 8.81142720257678
        45. \n", + "\t
      45. 4.23804188735546
        46. \n", + "\t
      46. 6.15828589087086
        47. \n", + "\t
      47. 8.91775529589952
        48. \n", + "\t
      48. 1.77121125574905
        49. \n", + "\t
      49. 4.78805677993846
        50. \n", + "\t
      50. 2.56700219440337
        51. \n", + "\t
      51. 5.53878262683257
        52. \n", + "\t
      52. 4.71660045120364
        53. \n", + "\t
      53. 8.03303017581091
        54. \n", + "\t
      54. 5.29429917054268
        55. \n", + "\t
      55. 2.68432311719526
        56. \n", + "\t
      56. 3.58202058444011
        57. \n", + "\t
      57. 4.13683526427099
        58. \n", + "\t
      58. 7.8346773120235
        59. \n", + "\t
      59. 1.70124394286585
        60. \n", + "\t
      60. 5.34526257167202
        61. \n", + "\t
      61. 3.29307790673731
        62. \n", + "\t
      62. 3.07807978833358
        63. \n", + "\t
      63. 4.46810657119909
        64. \n", + "\t
      64. 6.70603347409933
        65. \n", + "\t
      65. 9.51677935864208
        66. \n", + "\t
      66. 9.35235308261427
        67. \n", + "\t
      67. 5.70736539240379
        68. \n", + "\t
      68. 9.66069096660915
        69. \n", + "\t
      69. 1.51042076422242
        70. \n", + "\t
      70. 7.23701128748002
        71. \n", + "\t
      71. 6.77785574189856
        72. \n", + "\t
      72. 3.49277128257123
        73. \n", + "\t
      73. 2.31845472836781
        74. \n", + "\t
      74. 7.23955234367888
        75. \n", + "\t
      75. 3.82754711477808
        76. \n", + "\t
      76. 5.35210095719964
        77. \n", + "\t
      77. 2.32138800160338
        78. \n", + "\t
      78. 5.20802447124672
        79. \n", + "\t
      79. 7.49050237423831
        80. \n", + "\t
      80. 1.78198479499639
        81. \n", + "\t
      81. 2.03206019528869
        82. \n", + "\t
      82. 7.97135561712661
        83. \n", + "\t
      83. 3.57127024864494
        84. \n", + "\t
      84. 8.56661841647173
        85. \n", + "\t
      85. 5.61433816872817
        86. \n", + "\t
      86. 3.57444797954702
        87. \n", + "\t
      87. 9.39712728101147
        88. \n", + "\t
      88. 3.65601133381828
        89. \n", + "\t
      89. 9.46553427990786
        90. \n", + "\t
      90. 8.37365606002236
        91. \n", + "\t
      91. 2.90263409534986
        92. \n", + "\t
      92. 3.27855505903102
        93. \n", + "\t
      93. 6.26558677213685
        94. \n", + "\t
      94. 5.21139913005243
        95. \n", + "\t
      95. 4.29419135514377
        96. \n", + "\t
      96. 6.10189298413976
        97. \n", + "\t
      97. 7.83456158072985
        98. \n", + "\t
      98. 4.63578236303666
        99. \n", + "\t
      99. 10.8092324297904
        100. \n", + "\t
      100. 4.78410419848852
        101. \n", + "
      \n", + "
      76. \n", + "\t
      76. \n", + "\t
      1. 1.92858267979847
        2. \n", + "\t
      2. 2.45667867967509
        3. \n", + "\t
      3. 5.40983138478311
        4. \n", + "\t
      4. 4.23854469610801
        5. \n", + "\t
      5. 3.8539555127365
        6. \n", + "\t
      6. 3.64350380703555
        7. \n", + "\t
      7. 5.48160244597936
        8. \n", + "\t
      8. 2.37088364646444
        9. \n", + "\t
      9. 3.80656887608981
        10. \n", + "\t
      10. 3.84541922723865
        11. \n", + "\t
      11. 7.85047633229938
        12. \n", + "\t
      12. 1.2578939072354
        13. \n", + "\t
      13. 4.33254837559678
        14. \n", + "\t
      14. 2.16610452179504
        15. \n", + "\t
      15. 3.25647487744186
        16. \n", + "\t
      16. 2.78318564603223
        17. \n", + "\t
      17. 7.1573982310228
        18. \n", + "\t
      18. 3.73121055900275
        19. \n", + "\t
      19. 1.96117677085909
        20. \n", + "\t
      20. 1.05282147144184
        21. \n", + "\t
      21. 4.79510160248661
        22. \n", + "\t
      22. 4.57300423656086
        23. \n", + "\t
      23. 4.14058324079775
        24. \n", + "\t
      24. 4.07542872462257
        25. \n", + "\t
      25. 8.77323271709911
        26. \n", + "\t
      26. 1.09582461296871
        27. \n", + "\t
      27. 1.68038984473763
        28. \n", + "\t
      28. 2.50939939615437
        29. \n", + "\t
      29. 1.48413677217943
        30. \n", + "\t
      30. 2.55810344839692
        31. \n", + "\t
      31. 7.08433942186827
        32. \n", + "\t
      32. 6.25738709574697
        33. \n", + "\t
      33. 1.82597398572648
        34. \n", + "\t
      34. 2.69746964841467
        35. \n", + "\t
      35. 2.10946639608503
        36. \n", + "\t
      36. 5.04019199722145
        37. \n", + "\t
      37. 2.31702956847806
        38. \n", + "\t
      38. 3.02824680596251
        39. \n", + "\t
      39. 3.16115561402284
        40. \n", + "\t
      40. 0.607539496336267
        41. \n", + "\t
      41. 4.21005945179356
        42. \n", + "\t
      42. 7.46142505623914
        43. \n", + "\t
      43. 6.13394172051576
        44. \n", + "\t
      44. 4.29010211536866
        45. \n", + "\t
      45. 3.21756566031033
        46. \n", + "\t
      46. 4.7503755618283
        47. \n", + "\t
      47. 3.0109352623241
        48. \n", + "\t
      48. 4.80575750080885
        49. \n", + "\t
      49. 4.48710038974147
        50. \n", + "\t
      50. 3.20094331124274
        51. \n", + "\t
      51. 4.22594009179389
        52. \n", + "\t
      52. 4.7754874527556
        53. \n", + "\t
      53. 2.72830272678367
        54. \n", + "\t
      54. 6.08008902756599
        55. \n", + "\t
      55. 6.30233865090427
        56. \n", + "\t
      56. 5.51823371487881
        57. \n", + "\t
      57. 7.12155176788912
        58. \n", + "\t
      58. 2.75527886816835
        59. \n", + "\t
      59. 1.88196539060849
        60. \n", + "\t
      60. 4.6316655487501
        61. \n", + "\t
      61. 5.753572808507
        62. \n", + "\t
      62. 3.56347313717286
        63. \n", + "\t
      63. 5.2006223463376
        64. \n", + "\t
      64. 3.06690743375782
        65. \n", + "\t
      65. 4.11732508402559
        66. \n", + "\t
      66. 3.0003824851772
        67. \n", + "\t
      67. 5.09566614303124
        68. \n", + "\t
      68. 7.40802860947846
        69. \n", + "\t
      69. 6.31471823552189
        70. \n", + "\t
      70. 6.04169255143855
        71. \n", + "\t
      71. 2.86456543393306
        72. \n", + "\t
      72. 0.640414458655232
        73. \n", + "\t
      73. 7.93205668300081
        74. \n", + "\t
      74. 3.72416028325457
        75. \n", + "\t
      75. 6.36921820719019
        76. \n", + "\t
      76. 1.52185675017095
        77. \n", + "\t
      77. 3.82604604781798
        78. \n", + "\t
      78. 9.36279688548687
        79. \n", + "\t
      79. 3.94750750958785
        80. \n", + "\t
      80. 6.60583634462371
        81. \n", + "\t
      81. 3.96456988293866
        82. \n", + "\t
      82. 3.9221912207592
        83. \n", + "\t
      83. 3.18355371001192
        84. \n", + "\t
      84. 8.35316883878029
        85. \n", + "\t
      85. 3.61002634367052
        86. \n", + "\t
      86. 1.80075585655829
        87. \n", + "\t
      87. 1.46170382067863
        88. \n", + "\t
      88. 5.09050737073624
        89. \n", + "\t
      89. 8.67175385337746
        90. \n", + "\t
      90. 3.76282008539575
        91. \n", + "\t
      91. 5.61272801798732
        92. \n", + "\t
      92. 4.88968986489022
        93. \n", + "\t
      93. 3.71654903171078
        94. \n", + "\t
      94. 2.50674401716422
        95. \n", + "\t
      95. 8.89696690734481
        96. \n", + "\t
      96. 0.458652398843423
        97. \n", + "\t
      97. 1.92299705264796
        98. \n", + "\t
      98. 7.49407861460278
        99. \n", + "\t
      99. 4.67517756630571
        100. \n", + "\t
      100. 4.49758713212449
        101. \n", + "
      \n", + "
      77. \n", + "\t
      77. \n", + "\t
      1. 3.59028023387257
        2. \n", + "\t
      2. 6.01251342849806
        3. \n", + "\t
      3. 8.618265282966
        4. \n", + "\t
      4. 4.41774413314925
        5. \n", + "\t
      5. 4.09351050610562
        6. \n", + "\t
      6. 3.18801230560855
        7. \n", + "\t
      7. 3.91145339598298
        8. \n", + "\t
      8. 9.50965808631363
        9. \n", + "\t
      9. 2.64316825605868
        10. \n", + "\t
      10. 1.55387565665353
        11. \n", + "\t
      11. 4.59953165231454
        12. \n", + "\t
      12. 4.31513002391714
        13. \n", + "\t
      13. 5.20358144502151
        14. \n", + "\t
      14. 3.59261480145641
        15. \n", + "\t
      15. 11.7628753400434
        16. \n", + "\t
      16. 8.8593635070269
        17. \n", + "\t
      17. 4.69684738024792
        18. \n", + "\t
      18. 1.956798774481
        19. \n", + "\t
      19. 3.69949377824965
        20. \n", + "\t
      20. 4.34542185692764
        21. \n", + "\t
      21. 7.55280364569974
        22. \n", + "\t
      22. 1.45455867261845
        23. \n", + "\t
      23. 4.3531081408908
        24. \n", + "\t
      24. 7.01094217278256
        25. \n", + "\t
      25. 5.56780519172071
        26. \n", + "\t
      26. 5.82428339970147
        27. \n", + "\t
      27. 1.95477799414659
        28. \n", + "\t
      28. 9.39237266697766
        29. \n", + "\t
      29. 4.73243395870216
        30. \n", + "\t
      30. 1.52603694574156
        31. \n", + "\t
      31. 2.08718854587635
        32. \n", + "\t
      32. 8.69656765774255
        33. \n", + "\t
      33. 6.52344887753335
        34. \n", + "\t
      34. 1.33449366404739
        35. \n", + "\t
      35. 7.89920680250551
        36. \n", + "\t
      36. 4.58230425848237
        37. \n", + "\t
      37. 4.15788120063269
        38. \n", + "\t
      38. 3.797425540728
        39. \n", + "\t
      39. 10.1233111742835
        40. \n", + "\t
      40. 6.89188528022441
        41. \n", + "\t
      41. 5.34299976912578
        42. \n", + "\t
      42. 2.43793869937055
        43. \n", + "\t
      43. 5.35867076026804
        44. \n", + "\t
      44. 3.48833208067212
        45. \n", + "\t
      45. 6.53443285731655
        46. \n", + "\t
      46. 3.52481335593989
        47. \n", + "\t
      47. 4.64307763986938
        48. \n", + "\t
      48. 4.48515384938232
        49. \n", + "\t
      49. 3.23261270863304
        50. \n", + "\t
      50. 2.76024768680497
        51. \n", + "\t
      51. 1.97363237698098
        52. \n", + "\t
      52. 1.0015445034076
        53. \n", + "\t
      53. 5.16902881266169
        54. \n", + "\t
      54. 6.64151505853051
        55. \n", + "\t
      55. 8.66875197096133
        56. \n", + "\t
      56. 5.22746740297675
        57. \n", + "\t
      57. 7.06888927330999
        58. \n", + "\t
      58. 4.04298795717853
        59. \n", + "\t
      59. 6.74174517078659
        60. \n", + "\t
      60. 2.00961476046592
        61. \n", + "\t
      61. 2.93878769123303
        62. \n", + "\t
      62. 3.09151833290652
        63. \n", + "\t
      63. 3.74869615061374
        64. \n", + "\t
      64. 6.61125072405665
        65. \n", + "\t
      65. 4.57062865257686
        66. \n", + "\t
      66. 4.01078863504626
        67. \n", + "\t
      67. 8.15891238059483
        68. \n", + "\t
      68. 7.26355790708185
        69. \n", + "\t
      69. 5.91879640002429
        70. \n", + "\t
      70. 5.52061569825871
        71. \n", + "\t
      71. 3.7839179504047
        72. \n", + "\t
      72. 2.64438725337069
        73. \n", + "\t
      73. 5.7724879401703
        74. \n", + "\t
      74. 5.58309958385448
        75. \n", + "\t
      75. 4.19682963800992
        76. \n", + "\t
      76. 6.99847077513961
        77. \n", + "\t
      77. 9.18292545689315
        78. \n", + "\t
      78. 4.30433955404019
        79. \n", + "\t
      79. 5.26992589075173
        80. \n", + "\t
      80. 5.64378831960982
        81. \n", + "\t
      81. 5.0444372541286
        82. \n", + "\t
      82. 8.00280299221965
        83. \n", + "\t
      83. 6.17284055737545
        84. \n", + "\t
      84. 8.37957184554523
        85. \n", + "\t
      85. 3.19963884976345
        86. \n", + "\t
      86. 2.75937565468969
        87. \n", + "\t
      87. 5.24424439043278
        88. \n", + "\t
      88. 9.88787261026108
        89. \n", + "\t
      89. 5.39198579832037
        90. \n", + "\t
      90. 2.88284820135011
        91. \n", + "\t
      91. 5.53912705405402
        92. \n", + "\t
      92. 2.12015165580105
        93. \n", + "\t
      93. 5.80932474670468
        94. \n", + "\t
      94. 3.4054931418835
        95. \n", + "\t
      95. 4.29763107342855
        96. \n", + "\t
      96. 6.96103520566554
        97. \n", + "\t
      97. 4.87179490175875
        98. \n", + "\t
      98. 3.17022563977758
        99. \n", + "\t
      99. 9.12627469667802
        100. \n", + "\t
      100. 5.12403113849852
        101. \n", + "
      \n", + "
      78. \n", + "\t
      78. \n", + "\t
      1. 1.94793670411395
        2. \n", + "\t
      2. 3.16067267130492
        3. \n", + "\t
      3. 3.8055622571335
        4. \n", + "\t
      4. 2.75162273128246
        5. \n", + "\t
      5. 4.37063859215793
        6. \n", + "\t
      6. 2.23169414586367
        7. \n", + "\t
      7. 3.07535275309013
        8. \n", + "\t
      8. 1.880669559654
        9. \n", + "\t
      9. 4.83342686063492
        10. \n", + "\t
      10. 1.1515632138607
        11. \n", + "\t
      11. 9.03331309979651
        12. \n", + "\t
      12. 5.44924987047318
        13. \n", + "\t
      13. 0.765191732737539
        14. \n", + "\t
      14. 2.09233888655516
        15. \n", + "\t
      15. 5.30492417146938
        16. \n", + "\t
      16. 2.00967359882847
        17. \n", + "\t
      17. 9.66210133884159
        18. \n", + "\t
      18. 5.92493939261149
        19. \n", + "\t
      19. 4.29730343661001
        20. \n", + "\t
      20. 1.19789857525852
        21. \n", + "\t
      21. 5.2104858465909
        22. \n", + "\t
      22. 2.67646721162205
        23. \n", + "\t
      23. 1.16539069890377
        24. \n", + "\t
      24. 1.14145025072305
        25. \n", + "\t
      25. 2.21307944881042
        26. \n", + "\t
      26. 3.63045736494087
        27. \n", + "\t
      27. 6.35752188978308
        28. \n", + "\t
      28. 4.68818962736395
        29. \n", + "\t
      29. 3.2655082708417
        30. \n", + "\t
      30. 5.49420651901625
        31. \n", + "\t
      31. 5.82370236255514
        32. \n", + "\t
      32. 3.75888712152913
        33. \n", + "\t
      33. 2.94357124447215
        34. \n", + "\t
      34. 13.1719556423033
        35. \n", + "\t
      35. 2.32175703189743
        36. \n", + "\t
      36. 1.1542436600908
        37. \n", + "\t
      37. 6.65834422301827
        38. \n", + "\t
      38. 8.29227049688329
        39. \n", + "\t
      39. 1.82522028428172
        40. \n", + "\t
      40. 2.45180202069784
        41. \n", + "\t
      41. 2.27774194268154
        42. \n", + "\t
      42. 2.67994542634166
        43. \n", + "\t
      43. 4.71303814879086
        44. \n", + "\t
      44. 6.61696474699302
        45. \n", + "\t
      45. 3.46498801425795
        46. \n", + "\t
      46. 1.40927670232913
        47. \n", + "\t
      47. 9.0458488429156
        48. \n", + "\t
      48. 0.997448556050137
        49. \n", + "\t
      49. 1.36920313658581
        50. \n", + "\t
      50. 5.13410112124035
        51. \n", + "\t
      51. 4.51842682737289
        52. \n", + "\t
      52. 1.68467284196848
        53. \n", + "\t
      53. 6.27233854486288
        54. \n", + "\t
      54. 1.27974383585671
        55. \n", + "\t
      55. 1.67164579181508
        56. \n", + "\t
      56. 5.7821539401743
        57. \n", + "\t
      57. 3.03538908127516
        58. \n", + "\t
      58. 8.5564638316521
        59. \n", + "\t
      59. 4.91845659849994
        60. \n", + "\t
      60. 5.05163279798455
        61. \n", + "\t
      61. 5.99120697797306
        62. \n", + "\t
      62. 2.41057607320869
        63. \n", + "\t
      63. 1.11933694414065
        64. \n", + "\t
      64. 10.7115544310654
        65. \n", + "\t
      65. 2.30085689600468
        66. \n", + "\t
      66. 1.46205552151468
        67. \n", + "\t
      67. 2.69136683405351
        68. \n", + "\t
      68. 3.85912741102065
        69. \n", + "\t
      69. 1.79301517014076
        70. \n", + "\t
      70. 0.906464714140667
        71. \n", + "\t
      71. 2.03475543135889
        72. \n", + "\t
      72. 3.65278939364393
        73. \n", + "\t
      73. 6.90457449898015
        74. \n", + "\t
      74. 2.70337560269498
        75. \n", + "\t
      75. 3.47589276518529
        76. \n", + "\t
      76. 4.68343155431658
        77. \n", + "\t
      77. 1.63015288487965
        78. \n", + "\t
      78. 2.25194332668785
        79. \n", + "\t
      79. 3.60485934091873
        80. \n", + "\t
      80. 8.23149583837058
        81. \n", + "\t
      81. 1.72000755070527
        82. \n", + "\t
      82. 4.30186817746626
        83. \n", + "\t
      83. 5.82888142712232
        84. \n", + "\t
      84. 6.31594250309454
        85. \n", + "\t
      85. 6.12143346664793
        86. \n", + "\t
      86. 7.85654102380332
        87. \n", + "\t
      87. 3.22155464407334
        88. \n", + "\t
      88. 5.76868208548247
        89. \n", + "\t
      89. 1.78995636093329
        90. \n", + "\t
      90. 9.07728112116882
        91. \n", + "\t
      91. 2.97801937028629
        92. \n", + "\t
      92. 4.19478052788225
        93. \n", + "\t
      93. 7.36397244310663
        94. \n", + "\t
      94. 4.09430894695732
        95. \n", + "\t
      95. 3.93182517093913
        96. \n", + "\t
      96. 1.75968797062713
        97. \n", + "\t
      97. 2.97310925387295
        98. \n", + "\t
      98. 7.05751553110251
        99. \n", + "\t
      99. 3.16899612667128
        100. \n", + "\t
      100. 11.6804223681324
        101. \n", + "
      \n", + "
      79. \n", + "\t
      79. \n", + "\t
      1. 5.670075829503
        2. \n", + "\t
      2. 2.83283471703334
        3. \n", + "\t
      3. 3.82588668814459
        4. \n", + "\t
      4. 6.23523176542675
        5. \n", + "\t
      5. 3.01235119102503
        6. \n", + "\t
      6. 2.71389611801841
        7. \n", + "\t
      7. 5.63129159545639
        8. \n", + "\t
      8. 1.01182792214386
        9. \n", + "\t
      9. 6.94173275308403
        10. \n", + "\t
      10. 4.09075296461105
        11. \n", + "\t
      11. 6.63839351558063
        12. \n", + "\t
      12. 3.38058971081809
        13. \n", + "\t
      13. 1.99727104931546
        14. \n", + "\t
      14. 3.48984745162379
        15. \n", + "\t
      15. 7.37280523407323
        16. \n", + "\t
      16. 5.12649379992312
        17. \n", + "\t
      17. 3.71119631988965
        18. \n", + "\t
      18. 5.20390263497382
        19. \n", + "\t
      19. 8.60121873859322
        20. \n", + "\t
      20. 6.69482887756547
        21. \n", + "\t
      21. 9.46447231376544
        22. \n", + "\t
      22. 8.35357329041376
        23. \n", + "\t
      23. 3.71887476406735
        24. \n", + "\t
      24. 1.56952322332059
        25. \n", + "\t
      25. 6.88273043949243
        26. \n", + "\t
      26. 2.15669210383131
        27. \n", + "\t
      27. 5.87551763752135
        28. \n", + "\t
      28. 7.9896769630435
        29. \n", + "\t
      29. 6.02748967545312
        30. \n", + "\t
      30. 6.35563705233973
        31. \n", + "\t
      31. 5.27698441548652
        32. \n", + "\t
      32. 5.96059506181358
        33. \n", + "\t
      33. 7.44149564132842
        34. \n", + "\t
      34. 5.1892765800384
        35. \n", + "\t
      35. 3.24466289095584
        36. \n", + "\t
      36. 6.10612187465166
        37. \n", + "\t
      37. 7.56761908986098
        38. \n", + "\t
      38. 3.27306792565792
        39. \n", + "\t
      39. 2.80783505353938
        40. \n", + "\t
      40. 5.65684651849157
        41. \n", + "\t
      41. 8.09738862879716
        42. \n", + "\t
      42. 5.05765408820903
        43. \n", + "\t
      43. 1.62672159481843
        44. \n", + "\t
      44. 7.46152404020844
        45. \n", + "\t
      45. 5.66958599364473
        46. \n", + "\t
      46. 3.3990108806991
        47. \n", + "\t
      47. 7.48037915910639
        48. \n", + "\t
      48. 5.24688054828804
        49. \n", + "\t
      49. 6.72504739807929
        50. \n", + "\t
      50. 4.80305321300062
        51. \n", + "\t
      51. 7.69625330317964
        52. \n", + "\t
      52. 4.77670989981543
        53. \n", + "\t
      53. 7.73735074090447
        54. \n", + "\t
      54. 5.97157219131794
        55. \n", + "\t
      55. 1.93462246214665
        56. \n", + "\t
      56. 5.23439783261478
        57. \n", + "\t
      57. 5.58485885379372
        58. \n", + "\t
      58. 4.90262863079431
        59. \n", + "\t
      59. 4.87025429854079
        60. \n", + "\t
      60. 3.26768497935155
        61. \n", + "\t
      61. 7.26873503586546
        62. \n", + "\t
      62. 4.27150814113172
        63. \n", + "\t
      63. 1.46354481738974
        64. \n", + "\t
      64. 6.55067210256707
        65. \n", + "\t
      65. 3.97267941054074
        66. \n", + "\t
      66. 5.80937112259241
        67. \n", + "\t
      67. 3.04414824206453
        68. \n", + "\t
      68. 4.34836493896151
        69. \n", + "\t
      69. 8.68655291512986
        70. \n", + "\t
      70. 6.29764464084891
        71. \n", + "\t
      71. 5.70635143404327
        72. \n", + "\t
      72. 6.70606030839251
        73. \n", + "\t
      73. 4.07939493407309
        74. \n", + "\t
      74. 6.92716938502681
        75. \n", + "\t
      75. 2.09215425653543
        76. \n", + "\t
      76. 2.58704383720953
        77. \n", + "\t
      77. 2.94080016584036
        78. \n", + "\t
      78. 7.07011240553269
        79. \n", + "\t
      79. 4.09151231206495
        80. \n", + "\t
      80. 1.12548559841066
        81. \n", + "\t
      81. 8.99875321457797
        82. \n", + "\t
      82. 1.8396817244748
        83. \n", + "\t
      83. 7.26868915335913
        84. \n", + "\t
      84. 2.82992570842068
        85. \n", + "\t
      85. 3.95206059764446
        86. \n", + "\t
      86. 2.78724491692186
        87. \n", + "\t
      87. 6.50889405999012
        88. \n", + "\t
      88. 7.11516285149955
        89. \n", + "\t
      89. 6.52139883878136
        90. \n", + "\t
      90. 1.55801932625221
        91. \n", + "\t
      91. 8.92930975468278
        92. \n", + "\t
      92. 4.97285322104651
        93. \n", + "\t
      93. 2.06801251214091
        94. \n", + "\t
      94. 2.20175048637788
        95. \n", + "\t
      95. 3.19196942267952
        96. \n", + "\t
      96. 3.38222798333761
        97. \n", + "\t
      97. 1.80815815024639
        98. \n", + "\t
      98. 5.20339153599447
        99. \n", + "\t
      99. 4.288881102736
        100. \n", + "\t
      100. 7.86174985876223
        101. \n", + "
      \n", + "
      80. \n", + "\t
      80. \n", + "\t
      1. 6.18627653471332
        2. \n", + "\t
      2. 2.77471539222992
        3. \n", + "\t
      3. 2.14216496818335
        4. \n", + "\t
      4. 7.00219671767681
        5. \n", + "\t
      5. 2.29164830154022
        6. \n", + "\t
      6. 9.12119468815898
        7. \n", + "\t
      7. 4.70761561401045
        8. \n", + "\t
      8. 12.5585905498596
        9. \n", + "\t
      9. 9.65447149638366
        10. \n", + "\t
      10. 0.712849317455267
        11. \n", + "\t
      11. 4.19778366066739
        12. \n", + "\t
      12. 4.37435839493537
        13. \n", + "\t
      13. 6.5471598692882
        14. \n", + "\t
      14. 1.90680614837019
        15. \n", + "\t
      15. 6.38622272735256
        16. \n", + "\t
      16. 5.36843595006931
        17. \n", + "\t
      17. 4.24961450823098
        18. \n", + "\t
      18. 4.17208979494402
        19. \n", + "\t
      19. 3.48101332685894
        20. \n", + "\t
      20. 7.05336752750808
        21. \n", + "\t
      21. 0.70610360141636
        22. \n", + "\t
      22. 9.32893726818109
        23. \n", + "\t
      23. 1.94129928417846
        24. \n", + "\t
      24. 6.28392940825258
        25. \n", + "\t
      25. 6.11816831060149
        26. \n", + "\t
      26. 10.5165826124225
        27. \n", + "\t
      27. 3.98272680149499
        28. \n", + "\t
      28. 5.92295850020002
        29. \n", + "\t
      29. 2.10342164702109
        30. \n", + "\t
      30. 4.81056117042745
        31. \n", + "\t
      31. 9.62590243029946
        32. \n", + "\t
      32. 4.568529159479
        33. \n", + "\t
      33. 6.50608001638333
        34. \n", + "\t
      34. 3.6946094100094
        35. \n", + "\t
      35. 2.726224971926
        36. \n", + "\t
      36. 2.58404952039937
        37. \n", + "\t
      37. 3.17223677699966
        38. \n", + "\t
      38. 1.13999593671891
        39. \n", + "\t
      39. 10.5271511686535
        40. \n", + "\t
      40. 9.27722408169832
        41. \n", + "\t
      41. 5.43569852280803
        42. \n", + "\t
      42. 4.09551456155808
        43. \n", + "\t
      43. 7.85253196019551
        44. \n", + "\t
      44. 6.77649326054473
        45. \n", + "\t
      45. 5.8516809822479
        46. \n", + "\t
      46. 6.82792672199079
        47. \n", + "\t
      47. 3.87829659689037
        48. \n", + "\t
      48. 3.55130484722266
        49. \n", + "\t
      49. 4.7662303280562
        50. \n", + "\t
      50. 3.08034630550561
        51. \n", + "\t
      51. 2.27818976604771
        52. \n", + "\t
      52. 7.510031379032
        53. \n", + "\t
      53. 2.55585383373654
        54. \n", + "\t
      54. 7.58707044273439
        55. \n", + "\t
      55. 4.38052554934271
        56. \n", + "\t
      56. 2.26496412885705
        57. \n", + "\t
      57. 9.83579747642296
        58. \n", + "\t
      58. 5.50567440177683
        59. \n", + "\t
      59. 10.1001515434019
        60. \n", + "\t
      60. 4.97172557255876
        61. \n", + "\t
      61. 8.09990961974799
        62. \n", + "\t
      62. 8.4211537271002
        63. \n", + "\t
      63. 4.35926454913143
        64. \n", + "\t
      64. 4.79692724438948
        65. \n", + "\t
      65. 3.69297041145452
        66. \n", + "\t
      66. 6.65152816439299
        67. \n", + "\t
      67. 1.80121777221514
        68. \n", + "\t
      68. 5.75084062303555
        69. \n", + "\t
      69. 2.21658951798263
        70. \n", + "\t
      70. 4.90311796248456
        71. \n", + "\t
      71. 2.75542716006706
        72. \n", + "\t
      72. 3.09564236709618
        73. \n", + "\t
      73. 1.54293592878823
        74. \n", + "\t
      74. 3.10553617641933
        75. \n", + "\t
      75. 3.11731279523384
        76. \n", + "\t
      76. 6.12470154274617
        77. \n", + "\t
      77. 7.87338079661152
        78. \n", + "\t
      78. 6.06245915140254
        79. \n", + "\t
      79. 7.27362750825651
        80. \n", + "\t
      80. 3.99611922379248
        81. \n", + "\t
      81. 3.67907878029633
        82. \n", + "\t
      82. 1.3194437759369
        83. \n", + "\t
      83. 3.92219620406811
        84. \n", + "\t
      84. 5.31980714443375
        85. \n", + "\t
      85. 7.90663604758134
        86. \n", + "\t
      86. 0.813829458127272
        87. \n", + "\t
      87. 12.2027853871328
        88. \n", + "\t
      88. 3.91776458700796
        89. \n", + "\t
      89. 7.42089222150479
        90. \n", + "\t
      90. 8.99248181451689
        91. \n", + "\t
      91. 2.85253197557479
        92. \n", + "\t
      92. 3.44045502723745
        93. \n", + "\t
      93. 4.61933724402521
        94. \n", + "\t
      94. 6.85619190646366
        95. \n", + "\t
      95. 6.84130266121063
        96. \n", + "\t
      96. 5.34873113737856
        97. \n", + "\t
      97. 9.15880948709559
        98. \n", + "\t
      98. 3.80070602757025
        99. \n", + "\t
      99. 5.55689306221145
        100. \n", + "\t
      100. 4.70016652719083
        101. \n", + "
      \n", + "
      81. \n", + "\t
      81. \n", + "\t
      1. 6.85716118620035
        2. \n", + "\t
      2. 4.33476289813562
        3. \n", + "\t
      3. 2.9303469639493
        4. \n", + "\t
      4. 8.61945629263965
        5. \n", + "\t
      5. 10.0476322351689
        6. \n", + "\t
      6. 4.04439836587967
        7. \n", + "\t
      7. 3.62512279847521
        8. \n", + "\t
      8. 2.89702107501205
        9. \n", + "\t
      9. 2.05367433263217
        10. \n", + "\t
      10. 6.09540077169141
        11. \n", + "\t
      11. 5.62049577673601
        12. \n", + "\t
      12. 4.13760183258035
        13. \n", + "\t
      13. 6.61640455809315
        14. \n", + "\t
      14. 4.44409439362647
        15. \n", + "\t
      15. 3.63945196497895
        16. \n", + "\t
      16. 6.00721474156934
        17. \n", + "\t
      17. 11.8067711636676
        18. \n", + "\t
      18. 4.18177057198594
        19. \n", + "\t
      19. 10.6177899581346
        20. \n", + "\t
      20. 5.91601347721845
        21. \n", + "\t
      21. 5.02170242439829
        22. \n", + "\t
      22. 10.6859700769639
        23. \n", + "\t
      23. 5.03730889699306
        24. \n", + "\t
      24. 7.73547871004061
        25. \n", + "\t
      25. 5.51465204828269
        26. \n", + "\t
      26. 3.12058930940183
        27. \n", + "\t
      27. 3.53002004922824
        28. \n", + "\t
      28. 4.66713339444773
        29. \n", + "\t
      29. 4.99721172383089
        30. \n", + "\t
      30. 4.94892570956926
        31. \n", + "\t
      31. 4.3166266218247
        32. \n", + "\t
      32. 6.89267758737395
        33. \n", + "\t
      33. 7.98110919835892
        34. \n", + "\t
      34. 9.98839289144062
        35. \n", + "\t
      35. 1.99541930994549
        36. \n", + "\t
      36. 6.62721697902442
        37. \n", + "\t
      37. 6.38747386358384
        38. \n", + "\t
      38. 7.58678964463432
        39. \n", + "\t
      39. 6.39537749451094
        40. \n", + "\t
      40. 4.87094265250655
        41. \n", + "\t
      41. 5.43953347970377
        42. \n", + "\t
      42. 3.54724297129401
        43. \n", + "\t
      43. 9.13853518075824
        44. \n", + "\t
      44. 3.12747635902366
        45. \n", + "\t
      45. 2.98142937195445
        46. \n", + "\t
      46. 5.46842789720699
        47. \n", + "\t
      47. 5.017008596656
        48. \n", + "\t
      48. 4.14134951702653
        49. \n", + "\t
      49. 3.8953344089858
        50. \n", + "\t
      50. 9.68874039459745
        51. \n", + "\t
      51. 2.61005516311549
        52. \n", + "\t
      52. 6.91688914494841
        53. \n", + "\t
      53. 10.8066033788839
        54. \n", + "\t
      54. 4.87489088539732
        55. \n", + "\t
      55. 2.05765980340101
        56. \n", + "\t
      56. 8.07213594822855
        57. \n", + "\t
      57. 7.21866119067712
        58. \n", + "\t
      58. 7.05529841336247
        59. \n", + "\t
      59. 1.09732887077087
        60. \n", + "\t
      60. 3.31868776023109
        61. \n", + "\t
      61. 5.84640961749626
        62. \n", + "\t
      62. 8.31283302611326
        63. \n", + "\t
      63. 5.78971539289913
        64. \n", + "\t
      64. 3.09134556806505
        65. \n", + "\t
      65. 10.946563174554
        66. \n", + "\t
      66. 7.13456701228822
        67. \n", + "\t
      67. 2.46674751317885
        68. \n", + "\t
      68. 5.98271130633222
        69. \n", + "\t
      69. 8.62528217236452
        70. \n", + "\t
      70. 8.30789220977079
        71. \n", + "\t
      71. 8.05705705462762
        72. \n", + "\t
      72. 9.49849402299909
        73. \n", + "\t
      73. 8.42747520163923
        74. \n", + "\t
      74. 6.57951152762481
        75. \n", + "\t
      75. 3.97951030322432
        76. \n", + "\t
      76. 7.081035513038
        77. \n", + "\t
      77. 2.3158490989784
        78. \n", + "\t
      78. 7.83998587357052
        79. \n", + "\t
      79. 8.0321516518357
        80. \n", + "\t
      80. 10.5406097478097
        81. \n", + "\t
      81. 9.01208149535999
        82. \n", + "\t
      82. 7.07624761638091
        83. \n", + "\t
      83. 8.41746133863034
        84. \n", + "\t
      84. 7.96519853475624
        85. \n", + "\t
      85. 4.40659101932747
        86. \n", + "\t
      86. 7.52415286050132
        87. \n", + "\t
      87. 1.97340375678779
        88. \n", + "\t
      88. 9.32020560225049
        89. \n", + "\t
      89. 7.58013825526648
        90. \n", + "\t
      90. 3.13932256081148
        91. \n", + "\t
      91. 3.47353780874563
        92. \n", + "\t
      92. 2.9148297353887
        93. \n", + "\t
      93. 1.95085856721905
        94. \n", + "\t
      94. 3.28985564109393
        95. \n", + "\t
      95. 6.50477383699518
        96. \n", + "\t
      96. 8.34785634987892
        97. \n", + "\t
      97. 8.905538742373
        98. \n", + "\t
      98. 6.62221303107569
        99. \n", + "\t
      99. 7.26705310523371
        100. \n", + "\t
      100. 7.38098219715234
        101. \n", + "
      \n", + "
      82. \n", + "\t
      82. \n", + "\t
      1. 1.18816405073583
        2. \n", + "\t
      2. 6.92891354030185
        3. \n", + "\t
      3. 4.38935607652714
        4. \n", + "\t
      4. 2.74059682984592
        5. \n", + "\t
      5. 1.73367511591659
        6. \n", + "\t
      6. 0.977140057378457
        7. \n", + "\t
      7. 3.68945144416129
        8. \n", + "\t
      8. 2.52529174894614
        9. \n", + "\t
      9. 1.95660844171479
        10. \n", + "\t
      10. 4.04208646902749
        11. \n", + "\t
      11. 2.22592142470155
        12. \n", + "\t
      12. 4.30930327142857
        13. \n", + "\t
      13. 0.838423901084188
        14. \n", + "\t
      14. 3.7896080072411
        15. \n", + "\t
      15. 4.51350307678131
        16. \n", + "\t
      16. 4.52592321234736
        17. \n", + "\t
      17. 3.11986130054381
        18. \n", + "\t
      18. 1.39523870746235
        19. \n", + "\t
      19. 4.56171807121538
        20. \n", + "\t
      20. 4.77844943416912
        21. \n", + "\t
      21. 0.752537284905952
        22. \n", + "\t
      22. 4.84856143273487
        23. \n", + "\t
      23. 5.05737787779541
        24. \n", + "\t
      24. 2.18014774005647
        25. \n", + "\t
      25. 4.11958900102516
        26. \n", + "\t
      26. 1.3863709568789
        27. \n", + "\t
      27. 4.99542007353712
        28. \n", + "\t
      28. 3.32970705939544
        29. \n", + "\t
      29. 5.29808775469883
        30. \n", + "\t
      30. 4.43867876820384
        31. \n", + "\t
      31. 2.05249975202156
        32. \n", + "\t
      32. 1.0879289739601
        33. \n", + "\t
      33. 1.67377887590391
        34. \n", + "\t
      34. 1.94579483698077
        35. \n", + "\t
      35. 3.12798476741516
        36. \n", + "\t
      36. 0.858114557402738
        37. \n", + "\t
      37. 5.03311258448137
        38. \n", + "\t
      38. 1.4968381558205
        39. \n", + "\t
      39. 3.33306294438725
        40. \n", + "\t
      40. 4.42221643807297
        41. \n", + "\t
      41. 6.00003306641017
        42. \n", + "\t
      42. 5.74513690154821
        43. \n", + "\t
      43. 6.94433212794066
        44. \n", + "\t
      44. 1.87186246028887
        45. \n", + "\t
      45. 4.96606831256485
        46. \n", + "\t
      46. 4.41181198144329
        47. \n", + "\t
      47. 5.66937283216321
        48. \n", + "\t
      48. 0.628790915024789
        49. \n", + "\t
      49. 4.84585739676372
        50. \n", + "\t
      50. 7.51715681056691
        51. \n", + "\t
      51. 4.26920335348234
        52. \n", + "\t
      52. 4.19795033877328
        53. \n", + "\t
      53. 2.23488766538808
        54. \n", + "\t
      54. 3.91171858585572
        55. \n", + "\t
      55. 3.54001493099913
        56. \n", + "\t
      56. 5.23663355168341
        57. \n", + "\t
      57. 2.18423786253564
        58. \n", + "\t
      58. 2.40882720869886
        59. \n", + "\t
      59. 3.83024749745889
        60. \n", + "\t
      60. 2.64845655715672
        61. \n", + "\t
      61. 4.85669348678192
        62. \n", + "\t
      62. 4.63631665438222
        63. \n", + "\t
      63. 3.24380445355335
        64. \n", + "\t
      64. 2.22158920897404
        65. \n", + "\t
      65. 1.37310262979855
        66. \n", + "\t
      66. 6.85202028199266
        67. \n", + "\t
      67. 4.67399238603492
        68. \n", + "\t
      68. 6.68099345825001
        69. \n", + "\t
      69. 1.10773777233267
        70. \n", + "\t
      70. 3.2977728427085
        71. \n", + "\t
      71. 1.79120187764785
        72. \n", + "\t
      72. 7.8219193992541
        73. \n", + "\t
      73. 3.86792341286279
        74. \n", + "\t
      74. 1.34938653119199
        75. \n", + "\t
      75. 3.88780930375053
        76. \n", + "\t
      76. 5.21928537495982
        77. \n", + "\t
      77. 4.2514348343573
        78. \n", + "\t
      78. 4.71788864646932
        79. \n", + "\t
      79. 3.33497063257503
        80. \n", + "\t
      80. 4.18237746235639
        81. \n", + "\t
      81. 2.99842512292604
        82. \n", + "\t
      82. 5.67786268906119
        83. \n", + "\t
      83. 5.96161283762164
        84. \n", + "\t
      84. 2.27917096947868
        85. \n", + "\t
      85. 3.74691489969847
        86. \n", + "\t
      86. 1.17755881702714
        87. \n", + "\t
      87. 6.18697048998963
        88. \n", + "\t
      88. 1.37918621602028
        89. \n", + "\t
      89. 6.60469874550244
        90. \n", + "\t
      90. 4.38560650243954
        91. \n", + "\t
      91. 4.60821387089197
        92. \n", + "\t
      92. 1.9432463739057
        93. \n", + "\t
      93. 2.67742889743052
        94. \n", + "\t
      94. 1.32456969146525
        95. \n", + "\t
      95. 2.06602027606583
        96. \n", + "\t
      96. 1.97584421897862
        97. \n", + "\t
      97. 4.09495341759319
        98. \n", + "\t
      98. 4.51355491944123
        99. \n", + "\t
      99. 4.36981668541618
        100. \n", + "\t
      100. 1.59275795856999
        101. \n", + "
      \n", + "
      83. \n", + "\t
      83. \n", + "\t
      1. 3.56352049371654
        2. \n", + "\t
      2. 5.01420852814152
        3. \n", + "\t
      3. 6.15356118706757
        4. \n", + "\t
      4. 5.91642566647699
        5. \n", + "\t
      5. 3.56259208144074
        6. \n", + "\t
      6. 7.00058292249713
        7. \n", + "\t
      7. 4.78424227094719
        8. \n", + "\t
      8. 6.54343198102273
        9. \n", + "\t
      9. 4.37404776698694
        10. \n", + "\t
      10. 6.31292089839487
        11. \n", + "\t
      11. 7.75561083849299
        12. \n", + "\t
      12. 4.25584371668022
        13. \n", + "\t
      13. 5.30278506224053
        14. \n", + "\t
      14. 4.86375901842743
        15. \n", + "\t
      15. 3.21934973909078
        16. \n", + "\t
      16. 4.64460372891989
        17. \n", + "\t
      17. 4.04657379906941
        18. \n", + "\t
      18. 3.56109637987961
        19. \n", + "\t
      19. 4.07209895143089
        20. \n", + "\t
      20. 5.23293740316628
        21. \n", + "\t
      21. 6.28955965069229
        22. \n", + "\t
      22. 5.05738301420736
        23. \n", + "\t
      23. 4.34663744558851
        24. \n", + "\t
      24. 2.27084364206978
        25. \n", + "\t
      25. 6.84678732434245
        26. \n", + "\t
      26. 8.4434361317011
        27. \n", + "\t
      27. 8.52239129089281
        28. \n", + "\t
      28. 4.11248860926177
        29. \n", + "\t
      29. 4.24553499942967
        30. \n", + "\t
      30. 5.36421108845819
        31. \n", + "\t
      31. 4.94113082645165
        32. \n", + "\t
      32. 4.70890166663261
        33. \n", + "\t
      33. 4.40710048481999
        34. \n", + "\t
      34. 1.38886774114718
        35. \n", + "\t
      35. 5.51246548494113
        36. \n", + "\t
      36. 9.74372775163978
        37. \n", + "\t
      37. 4.85717508670607
        38. \n", + "\t
      38. 6.40946717592346
        39. \n", + "\t
      39. 5.19033688228927
        40. \n", + "\t
      40. 3.73120073144803
        41. \n", + "\t
      41. 3.15847410168071
        42. \n", + "\t
      42. 4.74176550536695
        43. \n", + "\t
      43. 6.66341865276484
        44. \n", + "\t
      44. 4.17517650934842
        45. \n", + "\t
      45. 3.7128003542666
        46. \n", + "\t
      46. 7.76258405066391
        47. \n", + "\t
      47. 4.44600197777037
        48. \n", + "\t
      48. 5.54368936441174
        49. \n", + "\t
      49. 3.65183804873648
        50. \n", + "\t
      50. 4.93901276802119
        51. \n", + "\t
      51. 3.71410106361177
        52. \n", + "\t
      52. 4.13157239662119
        53. \n", + "\t
      53. 6.21576613509048
        54. \n", + "\t
      54. 5.7500809170628
        55. \n", + "\t
      55. 3.16496791177227
        56. \n", + "\t
      56. 6.90062771448655
        57. \n", + "\t
      57. 1.34792554730875
        58. \n", + "\t
      58. 7.89145520122477
        59. \n", + "\t
      59. 5.17661893370436
        60. \n", + "\t
      60. 3.4667137590063
        61. \n", + "\t
      61. 3.55155189390624
        62. \n", + "\t
      62. 6.73131856234278
        63. \n", + "\t
      63. 2.88132313524076
        64. \n", + "\t
      64. 4.69307794267927
        65. \n", + "\t
      65. 6.84310252654292
        66. \n", + "\t
      66. 1.68357194819021
        67. \n", + "\t
      67. 2.95138593874435
        68. \n", + "\t
      68. 5.59400719549832
        69. \n", + "\t
      69. 5.40020945605516
        70. \n", + "\t
      70. 3.56038522535857
        71. \n", + "\t
      71. 7.31959670567587
        72. \n", + "\t
      72. 3.80084749183552
        73. \n", + "\t
      73. 6.87652490354742
        74. \n", + "\t
      74. 1.48735382232052
        75. \n", + "\t
      75. 3.44139838200508
        76. \n", + "\t
      76. 4.78357496477307
        77. \n", + "\t
      77. 5.26064624008246
        78. \n", + "\t
      78. 8.11996091199334
        79. \n", + "\t
      79. 1.38240862460709
        80. \n", + "\t
      80. 5.05145077208697
        81. \n", + "\t
      81. 2.81321561070903
        82. \n", + "\t
      82. 6.17530769694886
        83. \n", + "\t
      83. 7.59728939292948
        84. \n", + "\t
      84. 6.89173233910328
        85. \n", + "\t
      85. 3.34173857254705
        86. \n", + "\t
      86. 5.87229149987556
        87. \n", + "\t
      87. 2.11626565743284
        88. \n", + "\t
      88. 2.3528028160633
        89. \n", + "\t
      89. 8.13060309672805
        90. \n", + "\t
      90. 3.34551355816918
        91. \n", + "\t
      91. 3.17840096486838
        92. \n", + "\t
      92. 4.3763014561993
        93. \n", + "\t
      93. 6.81466561855657
        94. \n", + "\t
      94. 4.89068733773789
        95. \n", + "\t
      95. 2.58216727067338
        96. \n", + "\t
      96. 6.33006849722493
        97. \n", + "\t
      97. 3.44660447934736
        98. \n", + "\t
      98. 3.44467444629869
        99. \n", + "\t
      99. 4.83287681526553
        100. \n", + "\t
      100. 3.76825633038138
        101. \n", + "
      \n", + "
      84. \n", + "\t
      84. \n", + "\t
      1. 3.82077988794869
        2. \n", + "\t
      2. 3.79717603514834
        3. \n", + "\t
      3. 2.36379872965992
        4. \n", + "\t
      4. 3.72250469486413
        5. \n", + "\t
      5. 5.26498680945272
        6. \n", + "\t
      6. 2.17028397624122
        7. \n", + "\t
      7. 4.98082420279941
        8. \n", + "\t
      8. 7.55083109404196
        9. \n", + "\t
      9. 2.85672889029048
        10. \n", + "\t
      10. 3.3642223584306
        11. \n", + "\t
      11. 2.52038125665279
        12. \n", + "\t
      12. 1.36387236044727
        13. \n", + "\t
      13. 1.83849206561166
        14. \n", + "\t
      14. 4.58483593729436
        15. \n", + "\t
      15. 4.07030506103994
        16. \n", + "\t
      16. 5.11708539165446
        17. \n", + "\t
      17. 7.77036090768373
        18. \n", + "\t
      18. 5.89010521991195
        19. \n", + "\t
      19. 1.38571792855122
        20. \n", + "\t
      20. 4.56357652235887
        21. \n", + "\t
      21. 5.64875286451729
        22. \n", + "\t
      22. 4.29020209311374
        23. \n", + "\t
      23. 6.40230199248208
        24. \n", + "\t
      24. 2.25738631040405
        25. \n", + "\t
      25. 2.56099333970489
        26. \n", + "\t
      26. 4.73859756836147
        27. \n", + "\t
      27. 2.03001352699074
        28. \n", + "\t
      28. 3.03455435021104
        29. \n", + "\t
      29. 7.80474668142219
        30. \n", + "\t
      30. 2.21029248183318
        31. \n", + "\t
      31. 6.07038410691742
        32. \n", + "\t
      32. 3.26618314077925
        33. \n", + "\t
      33. 2.41043724487386
        34. \n", + "\t
      34. 3.92931313451211
        35. \n", + "\t
      35. 2.40650145280737
        36. \n", + "\t
      36. 4.56343768142923
        37. \n", + "\t
      37. 6.74389734732154
        38. \n", + "\t
      38. 4.46206177821634
        39. \n", + "\t
      39. 5.29258029524396
        40. \n", + "\t
      40. 4.75724852248881
        41. \n", + "\t
      41. 2.27232587866276
        42. \n", + "\t
      42. 4.45863813288013
        43. \n", + "\t
      43. 6.63854202981377
        44. \n", + "\t
      44. 2.74292353705951
        45. \n", + "\t
      45. 7.0465815159375
        46. \n", + "\t
      46. 4.80617610250237
        47. \n", + "\t
      47. 2.75073466736724
        48. \n", + "\t
      48. 2.6408338766994
        49. \n", + "\t
      49. 3.72558242884454
        50. \n", + "\t
      50. 1.39936761039392
        51. \n", + "\t
      51. 6.44831728027026
        52. \n", + "\t
      52. 7.24870498515472
        53. \n", + "\t
      53. 6.78038023905845
        54. \n", + "\t
      54. 2.71256013807511
        55. \n", + "\t
      55. 1.91062924427614
        56. \n", + "\t
      56. 1.55896753859005
        57. \n", + "\t
      57. 5.8146216527219
        58. \n", + "\t
      58. 10.2516882496358
        59. \n", + "\t
      59. 1.56108350000517
        60. \n", + "\t
      60. 2.30684963902346
        61. \n", + "\t
      61. 4.23520300711468
        62. \n", + "\t
      62. 1.80157887079116
        63. \n", + "\t
      63. 7.56565366656915
        64. \n", + "\t
      64. 4.83234533459104
        65. \n", + "\t
      65. 1.71839413744557
        66. \n", + "\t
      66. 6.04163507852297
        67. \n", + "\t
      67. 3.36637864490413
        68. \n", + "\t
      68. 2.20787112061464
        69. \n", + "\t
      69. 4.22043234315608
        70. \n", + "\t
      70. 6.55047059210101
        71. \n", + "\t
      71. 2.08734517876342
        72. \n", + "\t
      72. 4.24384753891024
        73. \n", + "\t
      73. 6.3510293686212
        74. \n", + "\t
      74. 5.14169605818021
        75. \n", + "\t
      75. 3.43717003714196
        76. \n", + "\t
      76. 2.33602851597797
        77. \n", + "\t
      77. 6.795360104417
        78. \n", + "\t
      78. 5.72501101020582
        79. \n", + "\t
      79. 7.88742076059168
        80. \n", + "\t
      80. 6.51531680388157
        81. \n", + "\t
      81. 2.35518765014476
        82. \n", + "\t
      82. 4.82694502146953
        83. \n", + "\t
      83. 5.04608032566442
        84. \n", + "\t
      84. 2.95599385692209
        85. \n", + "\t
      85. 2.72619897215525
        86. \n", + "\t
      86. 4.77678639595414
        87. \n", + "\t
      87. 4.05619957503114
        88. \n", + "\t
      88. 4.98221471523755
        89. \n", + "\t
      89. 4.63190459066223
        90. \n", + "\t
      90. 4.44748930043039
        91. \n", + "\t
      91. 2.81585635704757
        92. \n", + "\t
      92. 3.16180523853774
        93. \n", + "\t
      93. 2.35571608236655
        94. \n", + "\t
      94. 4.48770889026159
        95. \n", + "\t
      95. 5.90114300312406
        96. \n", + "\t
      96. 3.43004431950669
        97. \n", + "\t
      97. 2.29492659047976
        98. \n", + "\t
      98. 3.73693272847268
        99. \n", + "\t
      99. 3.4888779059975
        100. \n", + "\t
      100. 7.47765629682861
        101. \n", + "
      \n", + "
      85. \n", + "\t
      85. \n", + "\t
      1. 5.74399486468361
        2. \n", + "\t
      2. 2.4214744553864
        3. \n", + "\t
      3. 2.44387918327587
        4. \n", + "\t
      4. 5.30023784935021
        5. \n", + "\t
      5. 3.15222409693343
        6. \n", + "\t
      6. 7.00590908183738
        7. \n", + "\t
      7. 4.66968533267899
        8. \n", + "\t
      8. 1.14115321979428
        9. \n", + "\t
      9. 2.30117086777648
        10. \n", + "\t
      10. 5.52068220944337
        11. \n", + "\t
      11. 8.6921016828129
        12. \n", + "\t
      12. 3.84900062434268
        13. \n", + "\t
      13. 4.50612577176803
        14. \n", + "\t
      14. 4.60541720825119
        15. \n", + "\t
      15. 10.5967693150509
        16. \n", + "\t
      16. 3.17844457151091
        17. \n", + "\t
      17. 3.62303554669987
        18. \n", + "\t
      18. 2.7477111346728
        19. \n", + "\t
      19. 4.24511423917796
        20. \n", + "\t
      20. 2.72121517742951
        21. \n", + "\t
      21. 7.90950520549836
        22. \n", + "\t
      22. 9.81154713033814
        23. \n", + "\t
      23. 6.52280192071408
        24. \n", + "\t
      24. 3.56887625640085
        25. \n", + "\t
      25. 5.923355234277
        26. \n", + "\t
      26. 4.15111293923028
        27. \n", + "\t
      27. 4.333127095953
        28. \n", + "\t
      28. 6.52694381328818
        29. \n", + "\t
      29. 8.16575627447289
        30. \n", + "\t
      30. 7.65116506101816
        31. \n", + "\t
      31. 5.51574101046629
        32. \n", + "\t
      32. 8.24532838698741
        33. \n", + "\t
      33. 4.29068013443117
        34. \n", + "\t
      34. 6.20922907476563
        35. \n", + "\t
      35. 3.77557373025822
        36. \n", + "\t
      36. 3.14083432792649
        37. \n", + "\t
      37. 7.13237902581833
        38. \n", + "\t
      38. 3.42978243790909
        39. \n", + "\t
      39. 2.49837010877644
        40. \n", + "\t
      40. 4.85291602856518
        41. \n", + "\t
      41. 3.18914311274878
        42. \n", + "\t
      42. 3.49597987128894
        43. \n", + "\t
      43. 6.59909598197426
        44. \n", + "\t
      44. 6.29579693187948
        45. \n", + "\t
      45. 7.32851334590674
        46. \n", + "\t
      46. 10.9847000510365
        47. \n", + "\t
      47. 5.43700057248395
        48. \n", + "\t
      48. 3.54188235045546
        49. \n", + "\t
      49. 5.93094527548738
        50. \n", + "\t
      50. 5.31827258903708
        51. \n", + "\t
      51. 2.26458616220341
        52. \n", + "\t
      52. 8.48243033658998
        53. \n", + "\t
      53. 4.49637122504657
        54. \n", + "\t
      54. 6.59030287656024
        55. \n", + "\t
      55. 3.91261589454751
        56. \n", + "\t
      56. 7.40950187525005
        57. \n", + "\t
      57. 5.13691637650994
        58. \n", + "\t
      58. 6.06257659553891
        59. \n", + "\t
      59. 4.90737779346671
        60. \n", + "\t
      60. 4.65379146567176
        61. \n", + "\t
      61. 3.49830307089377
        62. \n", + "\t
      62. 4.7903334849402
        63. \n", + "\t
      63. 7.01645824647748
        64. \n", + "\t
      64. 6.3457790136263
        65. \n", + "\t
      65. 4.28109855730326
        66. \n", + "\t
      66. 4.69088307911567
        67. \n", + "\t
      67. 5.44877100263324
        68. \n", + "\t
      68. 10.1989802357516
        69. \n", + "\t
      69. 4.57385499454177
        70. \n", + "\t
      70. 4.08732880316257
        71. \n", + "\t
      71. 3.74122895465342
        72. \n", + "\t
      72. 3.96236673766559
        73. \n", + "\t
      73. 5.38804372708111
        74. \n", + "\t
      74. 5.49214441920646
        75. \n", + "\t
      75. 4.76219722688223
        76. \n", + "\t
      76. 3.85544597887416
        77. \n", + "\t
      77. 4.96662522871409
        78. \n", + "\t
      78. 5.57765807953262
        79. \n", + "\t
      79. 4.70216187343427
        80. \n", + "\t
      80. 4.3988022249816
        81. \n", + "\t
      81. 3.96084454996634
        82. \n", + "\t
      82. 3.48228440947197
        83. \n", + "\t
      83. 5.99938890979105
        84. \n", + "\t
      84. 6.65572285190857
        85. \n", + "\t
      85. 1.74645968743681
        86. \n", + "\t
      86. 3.65183395295811
        87. \n", + "\t
      87. 7.72272429892429
        88. \n", + "\t
      88. 4.87768875582614
        89. \n", + "\t
      89. 5.61875702143299
        90. \n", + "\t
      90. 5.47004865279596
        91. \n", + "\t
      91. 2.88591140322229
        92. \n", + "\t
      92. 2.97323320719348
        93. \n", + "\t
      93. 3.53582392847235
        94. \n", + "\t
      94. 5.06097294688846
        95. \n", + "\t
      95. 7.00650841653761
        96. \n", + "\t
      96. 2.78901482077921
        97. \n", + "\t
      97. 5.31538277815083
        98. \n", + "\t
      98. 4.97693392274303
        99. \n", + "\t
      99. 9.2572395799612
        100. \n", + "\t
      100. 3.5926893293938
        101. \n", + "
      \n", + "
      86. \n", + "\t
      86. \n", + "\t
      1. 1.26921905012953
        2. \n", + "\t
      2. 6.35498818077064
        3. \n", + "\t
      3. 2.41875214350978
        4. \n", + "\t
      4. 2.8902361439081
        5. \n", + "\t
      5. 5.7116361071244
        6. \n", + "\t
      6. 4.20846175430532
        7. \n", + "\t
      7. 4.80082350345676
        8. \n", + "\t
      8. 5.74958967197802
        9. \n", + "\t
      9. 1.40476911422129
        10. \n", + "\t
      10. 3.9428041772601
        11. \n", + "\t
      11. 4.43795723906576
        12. \n", + "\t
      12. 2.69219700151025
        13. \n", + "\t
      13. 1.98863226037731
        14. \n", + "\t
      14. 1.02251510989239
        15. \n", + "\t
      15. 7.17522738319963
        16. \n", + "\t
      16. 2.95760656920788
        17. \n", + "\t
      17. 3.06432128435309
        18. \n", + "\t
      18. 5.17052935218951
        19. \n", + "\t
      19. 0.968974916750111
        20. \n", + "\t
      20. 3.80760809655777
        21. \n", + "\t
      21. 3.5286720858682
        22. \n", + "\t
      22. 2.11050572963175
        23. \n", + "\t
      23. 2.56761217557984
        24. \n", + "\t
      24. 5.46597149910132
        25. \n", + "\t
      25. 4.23892543591007
        26. \n", + "\t
      26. 6.27582447689931
        27. \n", + "\t
      27. 3.12344913133912
        28. \n", + "\t
      28. 3.90748536333592
        29. \n", + "\t
      29. 1.09571730901654
        30. \n", + "\t
      30. 4.20384865461738
        31. \n", + "\t
      31. 3.25982903988473
        32. \n", + "\t
      32. 3.54467215906282
        33. \n", + "\t
      33. 3.57974331352487
        34. \n", + "\t
      34. 1.4025559647054
        35. \n", + "\t
      35. 3.69065266687307
        36. \n", + "\t
      36. 3.23985221253712
        37. \n", + "\t
      37. 1.79751185725301
        38. \n", + "\t
      38. 3.95064002803996
        39. \n", + "\t
      39. 2.98200243059847
        40. \n", + "\t
      40. 3.53735297936015
        41. \n", + "\t
      41. 5.49256255078585
        42. \n", + "\t
      42. 3.74403414239268
        43. \n", + "\t
      43. 5.27674869900327
        44. \n", + "\t
      44. 4.38696420689303
        45. \n", + "\t
      45. 3.48657279659652
        46. \n", + "\t
      46. 4.46244348824125
        47. \n", + "\t
      47. 1.70425625005361
        48. \n", + "\t
      48. 3.69010755015279
        49. \n", + "\t
      49. 5.50713494592016
        50. \n", + "\t
      50. 1.21241813437216
        51. \n", + "\t
      51. 4.65701872860096
        52. \n", + "\t
      52. 5.97233087121596
        53. \n", + "\t
      53. 3.47516426311332
        54. \n", + "\t
      54. 6.3336060371004
        55. \n", + "\t
      55. 3.54643817065444
        56. \n", + "\t
      56. 4.45573144386964
        57. \n", + "\t
      57. 3.12142952788235
        58. \n", + "\t
      58. 4.83824635730097
        59. \n", + "\t
      59. 0.520673163565227
        60. \n", + "\t
      60. 1.41428226250304
        61. \n", + "\t
      61. 2.55958021918919
        62. \n", + "\t
      62. 0.8247964979429
        63. \n", + "\t
      63. 3.72509671727256
        64. \n", + "\t
      64. 4.16435778778602
        65. \n", + "\t
      65. 2.68871874861388
        66. \n", + "\t
      66. 3.94682082795276
        67. \n", + "\t
      67. 3.24573958117632
        68. \n", + "\t
      68. 1.79335156861505
        69. \n", + "\t
      69. 5.13685693803946
        70. \n", + "\t
      70. 1.70079957894107
        71. \n", + "\t
      71. 3.82666332085329
        72. \n", + "\t
      72. 3.16223649788185
        73. \n", + "\t
      73. 3.20111997613732
        74. \n", + "\t
      74. 2.54788495720292
        75. \n", + "\t
      75. 2.54516788630061
        76. \n", + "\t
      76. 3.03533906867591
        77. \n", + "\t
      77. 3.35608826357903
        78. \n", + "\t
      78. 2.54931151239398
        79. \n", + "\t
      79. 4.32036861637035
        80. \n", + "\t
      80. 4.01783808487999
        81. \n", + "\t
      81. 1.84815664355362
        82. \n", + "\t
      82. 1.66704127973616
        83. \n", + "\t
      83. 4.63902083696723
        84. \n", + "\t
      84. 6.02764083790021
        85. \n", + "\t
      85. 2.84269860867037
        86. \n", + "\t
      86. 1.51954098289614
        87. \n", + "\t
      87. 2.3439144266112
        88. \n", + "\t
      88. 1.18804451253275
        89. \n", + "\t
      89. 3.46004050207003
        90. \n", + "\t
      90. 3.68515541316523
        91. \n", + "\t
      91. 3.82482898274839
        92. \n", + "\t
      92. 4.76308032120612
        93. \n", + "\t
      93. 5.16916880325356
        94. \n", + "\t
      94. 2.51814147705156
        95. \n", + "\t
      95. 4.42760900997152
        96. \n", + "\t
      96. 1.94660954636153
        97. \n", + "\t
      97. 1.36769713172428
        98. \n", + "\t
      98. 3.03061924419229
        99. \n", + "\t
      99. 2.73989946580478
        100. \n", + "\t
      100. 1.47543418169146
        101. \n", + "
      \n", + "
      87. \n", + "\t
      87. \n", + "\t
      1. 5.04421997921599
        2. \n", + "\t
      2. 5.29189458085584
        3. \n", + "\t
      3. 2.93288836488653
        4. \n", + "\t
      4. 6.76466284722236
        5. \n", + "\t
      5. 9.81808515732301
        6. \n", + "\t
      6. 8.56050604364312
        7. \n", + "\t
      7. 2.92472043723742
        8. \n", + "\t
      8. 8.35760660264766
        9. \n", + "\t
      9. 7.24059604782714
        10. \n", + "\t
      10. 3.98784077766828
        11. \n", + "\t
      11. 1.84659922190417
        12. \n", + "\t
      12. 2.43915366120621
        13. \n", + "\t
      13. 1.52950032338624
        14. \n", + "\t
      14. 2.15164183771711
        15. \n", + "\t
      15. 3.67216082471018
        16. \n", + "\t
      16. 3.48910396026375
        17. \n", + "\t
      17. 1.5230799096537
        18. \n", + "\t
      18. 1.10788553142396
        19. \n", + "\t
      19. 5.90873539299844
        20. \n", + "\t
      20. 4.15893467365233
        21. \n", + "\t
      21. 6.30876538069827
        22. \n", + "\t
      22. 3.03860476026583
        23. \n", + "\t
      23. 1.24182207862302
        24. \n", + "\t
      24. 1.43662867633525
        25. \n", + "\t
      25. 6.16176312205512
        26. \n", + "\t
      26. 7.90576016389025
        27. \n", + "\t
      27. 3.29868421681654
        28. \n", + "\t
      28. 0.875827066431838
        29. \n", + "\t
      29. 2.63387477856328
        30. \n", + "\t
      30. 5.81656980213865
        31. \n", + "\t
      31. 7.75960704578503
        32. \n", + "\t
      32. 2.32371093121562
        33. \n", + "\t
      33. 1.57901045382003
        34. \n", + "\t
      34. 3.8215890405487
        35. \n", + "\t
      35. 1.35978416651135
        36. \n", + "\t
      36. 2.92409949432087
        37. \n", + "\t
      37. 2.74345330728981
        38. \n", + "\t
      38. 3.30804938709265
        39. \n", + "\t
      39. 9.27356045683188
        40. \n", + "\t
      40. 3.11269778551817
        41. \n", + "\t
      41. 3.68813935994577
        42. \n", + "\t
      42. 4.60658049378969
        43. \n", + "\t
      43. 0.504539769791595
        44. \n", + "\t
      44. 3.87299090469369
        45. \n", + "\t
      45. 2.30274423579591
        46. \n", + "\t
      46. 6.52511280374938
        47. \n", + "\t
      47. 3.82490276658621
        48. \n", + "\t
      48. 1.91523007952978
        49. \n", + "\t
      49. 7.69601583770952
        50. \n", + "\t
      50. 1.96138082764489
        51. \n", + "\t
      51. 4.61870048669441
        52. \n", + "\t
      52. 2.8043984607883
        53. \n", + "\t
      53. 4.0774464459687
        54. \n", + "\t
      54. 2.25363405387781
        55. \n", + "\t
      55. 1.6207893342913
        56. \n", + "\t
      56. 1.62176973603205
        57. \n", + "\t
      57. 3.58849460715901
        58. \n", + "\t
      58. 5.64915020506704
        59. \n", + "\t
      59. 2.01730477389497
        60. \n", + "\t
      60. 1.17491735220535
        61. \n", + "\t
      61. 1.73676995026747
        62. \n", + "\t
      62. 3.6913690664399
        63. \n", + "\t
      63. 3.75291009187143
        64. \n", + "\t
      64. 5.64722469462501
        65. \n", + "\t
      65. 5.92194953126746
        66. \n", + "\t
      66. 2.15180639921969
        67. \n", + "\t
      67. 5.48525731492007
        68. \n", + "\t
      68. 4.36486286223048
        69. \n", + "\t
      69. 1.79132258909783
        70. \n", + "\t
      70. 4.85409973027706
        71. \n", + "\t
      71. 0.824764765673787
        72. \n", + "\t
      72. 5.95402437663399
        73. \n", + "\t
      73. 4.17564716010448
        74. \n", + "\t
      74. 4.40238049775801
        75. \n", + "\t
      75. 4.23740470604864
        76. \n", + "\t
      76. 4.69027013640305
        77. \n", + "\t
      77. 2.72046083664982
        78. \n", + "\t
      78. 4.1235423234443
        79. \n", + "\t
      79. 1.82690993641274
        80. \n", + "\t
      80. 2.05368325552266
        81. \n", + "\t
      81. 8.01538500527673
        82. \n", + "\t
      82. 5.44575062405271
        83. \n", + "\t
      83. 6.38895404804212
        84. \n", + "\t
      84. 3.94361236026706
        85. \n", + "\t
      85. 1.68277108126302
        86. \n", + "\t
      86. 4.88388581977313
        87. \n", + "\t
      87. 3.04299445224585
        88. \n", + "\t
      88. 2.73806902550388
        89. \n", + "\t
      89. 2.1088209098901
        90. \n", + "\t
      90. 3.72933070534084
        91. \n", + "\t
      91. 3.61342758878474
        92. \n", + "\t
      92. 6.29124524920204
        93. \n", + "\t
      93. 2.19753141188115
        94. \n", + "\t
      94. 4.8582762974648
        95. \n", + "\t
      95. 4.57038832591837
        96. \n", + "\t
      96. 3.23213707147939
        97. \n", + "\t
      97. 3.65576919794591
        98. \n", + "\t
      98. 1.40493115149717
        99. \n", + "\t
      99. 1.94980619409731
        100. \n", + "\t
      100. 2.61034003734057
        101. \n", + "
      \n", + "
      88. \n", + "\t
      88. \n", + "\t
      1. 6.63230984748897
        2. \n", + "\t
      2. 5.26072217554651
        3. \n", + "\t
      3. 4.810518429468
        4. \n", + "\t
      4. 7.23544019298844
        5. \n", + "\t
      5. 4.96839406602467
        6. \n", + "\t
      6. 5.29893623201841
        7. \n", + "\t
      7. 2.00997464002221
        8. \n", + "\t
      8. 2.71012498865374
        9. \n", + "\t
      9. 8.69996300593477
        10. \n", + "\t
      10. 9.83783045844772
        11. \n", + "\t
      11. 1.97606872055358
        12. \n", + "\t
      12. 9.32196057080721
        13. \n", + "\t
      13. 6.3265968586948
        14. \n", + "\t
      14. 1.98683974612207
        15. \n", + "\t
      15. 3.32578404145917
        16. \n", + "\t
      16. 3.41995388322591
        17. \n", + "\t
      17. 5.93313698374783
        18. \n", + "\t
      18. 5.70649847221157
        19. \n", + "\t
      19. 7.67806560605734
        20. \n", + "\t
      20. 7.21110933079406
        21. \n", + "\t
      21. 4.39491075573862
        22. \n", + "\t
      22. 6.8342632946911
        23. \n", + "\t
      23. 1.84009215230047
        24. \n", + "\t
      24. 5.35996105027438
        25. \n", + "\t
      25. 2.99036976410872
        26. \n", + "\t
      26. 2.4586993370415
        27. \n", + "\t
      27. 5.10347898869832
        28. \n", + "\t
      28. 4.11865572358619
        29. \n", + "\t
      29. 2.68993330879005
        30. \n", + "\t
      30. 7.20660200713846
        31. \n", + "\t
      31. 4.34536399468592
        32. \n", + "\t
      32. 1.93642786550879
        33. \n", + "\t
      33. 2.59010740167868
        34. \n", + "\t
      34. 8.26426239289166
        35. \n", + "\t
      35. 0.570349857185048
        36. \n", + "\t
      36. 5.91125521665609
        37. \n", + "\t
      37. 3.74995238067249
        38. \n", + "\t
      38. 3.38425594850275
        39. \n", + "\t
      39. 2.62859356777476
        40. \n", + "\t
      40. 2.85125256598398
        41. \n", + "\t
      41. 2.57913609365731
        42. \n", + "\t
      42. 3.65572239969353
        43. \n", + "\t
      43. 2.27338554459469
        44. \n", + "\t
      44. 1.72952943621431
        45. \n", + "\t
      45. 4.36508173342994
        46. \n", + "\t
      46. 8.37020987404674
        47. \n", + "\t
      47. 6.39400479281854
        48. \n", + "\t
      48. 6.41640950161296
        49. \n", + "\t
      49. 1.87253412682987
        50. \n", + "\t
      50. 2.66054740334426
        51. \n", + "\t
      51. 7.19026782837117
        52. \n", + "\t
      52. 1.59153089923097
        53. \n", + "\t
      53. 7.97408732878405
        54. \n", + "\t
      54. 7.83563731621162
        55. \n", + "\t
      55. 8.28330049045749
        56. \n", + "\t
      56. 5.81425758634839
        57. \n", + "\t
      57. 7.62701206808644
        58. \n", + "\t
      58. 3.90861820844716
        59. \n", + "\t
      59. 5.14876339890699
        60. \n", + "\t
      60. 4.76378689539875
        61. \n", + "\t
      61. 1.07025184950465
        62. \n", + "\t
      62. 1.74677338585331
        63. \n", + "\t
      63. 4.64192343421141
        64. \n", + "\t
      64. 7.61138554857042
        65. \n", + "\t
      65. 3.67599820512317
        66. \n", + "\t
      66. 4.71101701521411
        67. \n", + "\t
      67. 6.41642814168379
        68. \n", + "\t
      68. 5.23596805189337
        69. \n", + "\t
      69. 7.94815440456093
        70. \n", + "\t
      70. 7.1885624869361
        71. \n", + "\t
      71. 8.56010370765713
        72. \n", + "\t
      72. 3.56658869683881
        73. \n", + "\t
      73. 2.64013690240947
        74. \n", + "\t
      74. 7.07180060314973
        75. \n", + "\t
      75. 1.77204514699949
        76. \n", + "\t
      76. 3.29069346479847
        77. \n", + "\t
      77. 4.91243220995042
        78. \n", + "\t
      78. 7.76796428705342
        79. \n", + "\t
      79. 4.81576411664785
        80. \n", + "\t
      80. 2.90749735425997
        81. \n", + "\t
      81. 5.17258906323655
        82. \n", + "\t
      82. 4.26512811457534
        83. \n", + "\t
      83. 1.1846071509824
        84. \n", + "\t
      84. 2.79829108734577
        85. \n", + "\t
      85. 10.02599502339
        86. \n", + "\t
      86. 5.20465359206108
        87. \n", + "\t
      87. 7.34033162909432
        88. \n", + "\t
      88. 1.95251778163086
        89. \n", + "\t
      89. 2.76671360355148
        90. \n", + "\t
      90. 2.03694804684659
        91. \n", + "\t
      91. 4.27031610601287
        92. \n", + "\t
      92. 5.5822746528654
        93. \n", + "\t
      93. 4.88550580170726
        94. \n", + "\t
      94. 9.2319258794254
        95. \n", + "\t
      95. 7.15347523955586
        96. \n", + "\t
      96. 4.7744213431734
        97. \n", + "\t
      97. 1.8620731558444
        98. \n", + "\t
      98. 3.73576886452007
        99. \n", + "\t
      99. 2.76365102811183
        100. \n", + "\t
      100. 6.33180325233912
        101. \n", + "
      \n", + "
      89. \n", + "\t
      89. \n", + "\t
      1. 1.92371925547467
        2. \n", + "\t
      2. 5.73693793679294
        3. \n", + "\t
      3. 0.881365867415753
        4. \n", + "\t
      4. 2.02137224625992
        5. \n", + "\t
      5. 2.35410429908435
        6. \n", + "\t
      6. 1.60725248995433
        7. \n", + "\t
      7. 2.44735906504623
        8. \n", + "\t
      8. 1.34321906631109
        9. \n", + "\t
      9. 1.17527889374302
        10. \n", + "\t
      10. 4.14148334195412
        11. \n", + "\t
      11. 3.1341350545329
        12. \n", + "\t
      12. 1.08028882736801
        13. \n", + "\t
      13. 1.08988384241811
        14. \n", + "\t
      14. 0.808185290536935
        15. \n", + "\t
      15. 1.07106088098244
        16. \n", + "\t
      16. 1.51745790020405
        17. \n", + "\t
      17. 1.58259069602161
        18. \n", + "\t
      18. 7.28125182100751
        19. \n", + "\t
      19. 1.44184576226286
        20. \n", + "\t
      20. 2.15994777824661
        21. \n", + "\t
      21. 1.66339921676124
        22. \n", + "\t
      22. 0.736308725304815
        23. \n", + "\t
      23. 5.55359180459404
        24. \n", + "\t
      24. 2.46763517801706
        25. \n", + "\t
      25. 7.77936632660003
        26. \n", + "\t
      26. 3.8574837487039
        27. \n", + "\t
      27. 8.82042252813617
        28. \n", + "\t
      28. 1.38609259854024
        29. \n", + "\t
      29. 1.47815318966766
        30. \n", + "\t
      30. 5.08255270922328
        31. \n", + "\t
      31. 1.79364889178681
        32. \n", + "\t
      32. 1.93259449030803
        33. \n", + "\t
      33. 1.89966000330877
        34. \n", + "\t
      34. 0.921249881272305
        35. \n", + "\t
      35. 1.37530282719168
        36. \n", + "\t
      36. 6.06924104766458
        37. \n", + "\t
      37. 1.7274981754721
        38. \n", + "\t
      38. 1.73514821197172
        39. \n", + "\t
      39. 1.71772730149797
        40. \n", + "\t
      40. 1.61413880550813
        41. \n", + "\t
      41. 0.488001266338043
        42. \n", + "\t
      42. 2.18860363483049
        43. \n", + "\t
      43. 1.59080045735612
        44. \n", + "\t
      44. 0.787001586233752
        45. \n", + "\t
      45. 4.10850326773204
        46. \n", + "\t
      46. 0.987478423721698
        47. \n", + "\t
      47. 1.31019187120871
        48. \n", + "\t
      48. 1.68322412887806
        49. \n", + "\t
      49. 5.42582858550332
        50. \n", + "\t
      50. 5.00299825974442
        51. \n", + "\t
      51. 0.896535533148403
        52. \n", + "\t
      52. 0.993410168469013
        53. \n", + "\t
      53. 1.20043306238323
        54. \n", + "\t
      54. 5.48371460574522
        55. \n", + "\t
      55. 2.86818475357399
        56. \n", + "\t
      56. 2.01638631647673
        57. \n", + "\t
      57. 3.86068482350933
        58. \n", + "\t
      58. 5.53878031598682
        59. \n", + "\t
      59. 0.649540906647096
        60. \n", + "\t
      60. 3.29928483041944
        61. \n", + "\t
      61. 5.18509224336502
        62. \n", + "\t
      62. 1.5942503505619
        63. \n", + "\t
      63. 4.75578976281941
        64. \n", + "\t
      64. 2.44523080321154
        65. \n", + "\t
      65. 1.31288585026207
        66. \n", + "\t
      66. 2.48380737228824
        67. \n", + "\t
      67. 1.34432338913489
        68. \n", + "\t
      68. 2.18864762809884
        69. \n", + "\t
      69. 8.74883552360359
        70. \n", + "\t
      70. 3.23641583703689
        71. \n", + "\t
      71. 1.16848301330342
        72. \n", + "\t
      72. 1.35539992280354
        73. \n", + "\t
      73. 2.15770361425392
        74. \n", + "\t
      74. 5.74676092708988
        75. \n", + "\t
      75. 2.40106744606519
        76. \n", + "\t
      76. 3.30259461100428
        77. \n", + "\t
      77. 2.58286099022324
        78. \n", + "\t
      78. 3.52954657852844
        79. \n", + "\t
      79. 2.06039983849139
        80. \n", + "\t
      80. 3.0613576204891
        81. \n", + "\t
      81. 5.96075933039129
        82. \n", + "\t
      82. 0.668840964892177
        83. \n", + "\t
      83. 2.52771185512237
        84. \n", + "\t
      84. 2.24331011054225
        85. \n", + "\t
      85. 1.47837223765759
        86. \n", + "\t
      86. 1.85382607025399
        87. \n", + "\t
      87. 2.68279021326565
        88. \n", + "\t
      88. 1.35565260891461
        89. \n", + "\t
      89. 2.09039811433579
        90. \n", + "\t
      90. 0.74389902493042
        91. \n", + "\t
      91. 1.10275629960356
        92. \n", + "\t
      92. 1.70845364966051
        93. \n", + "\t
      93. 0.723403434784564
        94. \n", + "\t
      94. 0.80678041660758
        95. \n", + "\t
      95. 1.20746414273029
        96. \n", + "\t
      96. 1.04366573158091
        97. \n", + "\t
      97. 1.20109300599859
        98. \n", + "\t
      98. 2.51452312260285
        99. \n", + "\t
      99. 2.22409742189198
        100. \n", + "\t
      100. 3.04568451078947
        101. \n", + "
      \n", + "
      90. \n", + "\t
      90. \n", + "\t
      1. 4.89665758548685
        2. \n", + "\t
      2. 5.31053833228538
        3. \n", + "\t
      3. 6.6798670783507
        4. \n", + "\t
      4. 7.25937455287055
        5. \n", + "\t
      5. 4.93961704089324
        6. \n", + "\t
      6. 10.0132735140848
        7. \n", + "\t
      7. 2.44713393628319
        8. \n", + "\t
      8. 9.04913064517371
        9. \n", + "\t
      9. 2.89778086843908
        10. \n", + "\t
      10. 5.89349746279059
        11. \n", + "\t
      11. 3.73840259430589
        12. \n", + "\t
      12. 4.29942118236368
        13. \n", + "\t
      13. 3.31448421088787
        14. \n", + "\t
      14. 2.90739264463718
        15. \n", + "\t
      15. 1.78286883698462
        16. \n", + "\t
      16. 9.04935824293585
        17. \n", + "\t
      17. 8.61198052211944
        18. \n", + "\t
      18. 4.3650023723189
        19. \n", + "\t
      19. 9.41608964168772
        20. \n", + "\t
      20. 6.02020278341968
        21. \n", + "\t
      21. 2.22467745776181
        22. \n", + "\t
      22. 5.44742004689486
        23. \n", + "\t
      23. 6.27818831421336
        24. \n", + "\t
      24. 3.17490197599074
        25. \n", + "\t
      25. 2.4157784036191
        26. \n", + "\t
      26. 4.21182777075305
        27. \n", + "\t
      27. 4.6750649208962
        28. \n", + "\t
      28. 0.681078908290355
        29. \n", + "\t
      29. 1.54163612100311
        30. \n", + "\t
      30. 2.95899190174604
        31. \n", + "\t
      31. 4.1034296845137
        32. \n", + "\t
      32. 5.44936295476244
        33. \n", + "\t
      33. 9.09791026806257
        34. \n", + "\t
      34. 2.5048980112154
        35. \n", + "\t
      35. 3.68089759070943
        36. \n", + "\t
      36. 11.7446772345097
        37. \n", + "\t
      37. 2.29594206614887
        38. \n", + "\t
      38. 0.910435169499309
        39. \n", + "\t
      39. 8.25492001271353
        40. \n", + "\t
      40. 5.8145235654803
        41. \n", + "\t
      41. 4.0986175547654
        42. \n", + "\t
      42. 5.07244846427559
        43. \n", + "\t
      43. 2.37098954595067
        44. \n", + "\t
      44. 7.18913479882271
        45. \n", + "\t
      45. 6.17405957431189
        46. \n", + "\t
      46. 1.2322279053243
        47. \n", + "\t
      47. 2.49345004305844
        48. \n", + "\t
      48. 3.96729954590647
        49. \n", + "\t
      49. 4.51085318674175
        50. \n", + "\t
      50. 2.73828057986955
        51. \n", + "\t
      51. 9.29801348414769
        52. \n", + "\t
      52. 7.85379502546332
        53. \n", + "\t
      53. 4.17908460352599
        54. \n", + "\t
      54. 5.42671392682835
        55. \n", + "\t
      55. 6.63627112349276
        56. \n", + "\t
      56. 1.83301873205413
        57. \n", + "\t
      57. 9.31772133820201
        58. \n", + "\t
      58. 3.17372802517761
        59. \n", + "\t
      59. 3.3370231687265
        60. \n", + "\t
      60. 4.67864557321758
        61. \n", + "\t
      61. 7.1476473582793
        62. \n", + "\t
      62. 5.60674491689627
        63. \n", + "\t
      63. 1.35109873813462
        64. \n", + "\t
      64. 1.4876920937011
        65. \n", + "\t
      65. 7.31966389844264
        66. \n", + "\t
      66. 3.99337856425615
        67. \n", + "\t
      67. 5.70715709655126
        68. \n", + "\t
      68. 4.90883468335859
        69. \n", + "\t
      69. 2.06065639551406
        70. \n", + "\t
      70. 2.48660978694962
        71. \n", + "\t
      71. 7.440061542125
        72. \n", + "\t
      72. 7.95377437036206
        73. \n", + "\t
      73. 2.01707476049492
        74. \n", + "\t
      74. 9.25948215691271
        75. \n", + "\t
      75. 6.44048742757363
        76. \n", + "\t
      76. 9.00267428112988
        77. \n", + "\t
      77. 4.46582259848971
        78. \n", + "\t
      78. 8.96571134677075
        79. \n", + "\t
      79. 6.49361426669024
        80. \n", + "\t
      80. 3.04383248198259
        81. \n", + "\t
      81. 10.4268105831492
        82. \n", + "\t
      82. 4.47756627494752
        83. \n", + "\t
      83. 8.83698439214872
        84. \n", + "\t
      84. 9.89922766963482
        85. \n", + "\t
      85. 2.28508671194319
        86. \n", + "\t
      86. 3.4200364173455
        87. \n", + "\t
      87. 8.18661265083197
        88. \n", + "\t
      88. 3.12885633535545
        89. \n", + "\t
      89. 1.23993210522065
        90. \n", + "\t
      90. 4.47671272584358
        91. \n", + "\t
      91. 3.35639987063244
        92. \n", + "\t
      92. 4.82027698167488
        93. \n", + "\t
      93. 8.41528825552047
        94. \n", + "\t
      94. 2.0396652037467
        95. \n", + "\t
      95. 4.22930456596531
        96. \n", + "\t
      96. 9.13949660253398
        97. \n", + "\t
      97. 4.87636696147796
        98. \n", + "\t
      98. 3.83835134067949
        99. \n", + "\t
      99. 5.36005647307143
        100. \n", + "\t
      100. 1.5060898687528
        101. \n", + "
      \n", + "
      91. \n", + "\t
      91. \n", + "\t
      1. 5.85677702823855
        2. \n", + "\t
      2. 4.12882988277937
        3. \n", + "\t
      3. 3.24045465886173
        4. \n", + "\t
      4. 5.26277719860978
        5. \n", + "\t
      5. 6.76436094740645
        6. \n", + "\t
      6. 5.61274485232009
        7. \n", + "\t
      7. 1.75386743812668
        8. \n", + "\t
      8. 5.22701219334682
        9. \n", + "\t
      9. 4.80328958391888
        10. \n", + "\t
      10. 2.80188464182711
        11. \n", + "\t
      11. 5.98398022400623
        12. \n", + "\t
      12. 4.4629885628276
        13. \n", + "\t
      13. 5.71171447595764
        14. \n", + "\t
      14. 4.90770448912476
        15. \n", + "\t
      15. 5.81443381329226
        16. \n", + "\t
      16. 2.93122756614533
        17. \n", + "\t
      17. 2.51798921078279
        18. \n", + "\t
      18. 1.10937531012304
        19. \n", + "\t
      19. 1.20435807814422
        20. \n", + "\t
      20. 0.891277381436535
        21. \n", + "\t
      21. 2.11113046463001
        22. \n", + "\t
      22. 4.67042418053942
        23. \n", + "\t
      23. 4.54574061778008
        24. \n", + "\t
      24. 3.77580219517658
        25. \n", + "\t
      25. 4.60639240610079
        26. \n", + "\t
      26. 2.33109363961709
        27. \n", + "\t
      27. 2.63718790957631
        28. \n", + "\t
      28. 1.30009428408923
        29. \n", + "\t
      29. 4.09088578018864
        30. \n", + "\t
      30. 8.24194815188949
        31. \n", + "\t
      31. 4.97418042935953
        32. \n", + "\t
      32. 5.84072626705304
        33. \n", + "\t
      33. 5.42478683569898
        34. \n", + "\t
      34. 2.15183587257417
        35. \n", + "\t
      35. 3.02221413091953
        36. \n", + "\t
      36. 2.98384863580795
        37. \n", + "\t
      37. 5.79212006888386
        38. \n", + "\t
      38. 10.3946801803407
        39. \n", + "\t
      39. 6.71250060313818
        40. \n", + "\t
      40. 1.21673288937884
        41. \n", + "\t
      41. 4.60702669942087
        42. \n", + "\t
      42. 3.17534198724473
        43. \n", + "\t
      43. 3.38770531453622
        44. \n", + "\t
      44. 0.941343855760696
        45. \n", + "\t
      45. 3.60738437797701
        46. \n", + "\t
      46. 3.94222915313361
        47. \n", + "\t
      47. 3.9178629105431
        48. \n", + "\t
      48. 6.47822109042175
        49. \n", + "\t
      49. 3.89186467497063
        50. \n", + "\t
      50. 3.29372217625198
        51. \n", + "\t
      51. 6.2397936045297
        52. \n", + "\t
      52. 3.98738118497759
        53. \n", + "\t
      53. 9.55046773023114
        54. \n", + "\t
      54. 5.14602590124637
        55. \n", + "\t
      55. 4.29662288496755
        56. \n", + "\t
      56. 5.41264971794683
        57. \n", + "\t
      57. 4.34965590100022
        58. \n", + "\t
      58. 3.62737231209197
        59. \n", + "\t
      59. 1.91902601977452
        60. \n", + "\t
      60. 1.05724843706374
        61. \n", + "\t
      61. 3.8111024306151
        62. \n", + "\t
      62. 3.25355227574996
        63. \n", + "\t
      63. 5.25242597876265
        64. \n", + "\t
      64. 4.45364509959382
        65. \n", + "\t
      65. 4.42617151869501
        66. \n", + "\t
      66. 3.26881493195503
        67. \n", + "\t
      67. 3.31825892819495
        68. \n", + "\t
      68. 3.3219240820814
        69. \n", + "\t
      69. 3.56574798251067
        70. \n", + "\t
      70. 4.86814632278622
        71. \n", + "\t
      71. 4.27683796289975
        72. \n", + "\t
      72. 4.97211586319933
        73. \n", + "\t
      73. 4.18591383477998
        74. \n", + "\t
      74. 1.47457610880964
        75. \n", + "\t
      75. 2.53966203692898
        76. \n", + "\t
      76. 1.55073177066158
        77. \n", + "\t
      77. 3.40519980429444
        78. \n", + "\t
      78. 4.74728855370968
        79. \n", + "\t
      79. 4.37347435455523
        80. \n", + "\t
      80. 3.44083991874521
        81. \n", + "\t
      81. 3.97294337927082
        82. \n", + "\t
      82. 1.11134367988241
        83. \n", + "\t
      83. 4.75466399049343
        84. \n", + "\t
      84. 1.03874259646598
        85. \n", + "\t
      85. 5.71946582142335
        86. \n", + "\t
      86. 2.81426943526272
        87. \n", + "\t
      87. 4.28657091730482
        88. \n", + "\t
      88. 4.63538120456388
        89. \n", + "\t
      89. 2.99011363476387
        90. \n", + "\t
      90. 6.60693337929454
        91. \n", + "\t
      91. 6.17206958198491
        92. \n", + "\t
      92. 4.50799196834931
        93. \n", + "\t
      93. 3.88448492894313
        94. \n", + "\t
      94. 4.12549526273666
        95. \n", + "\t
      95. 2.50865514818591
        96. \n", + "\t
      96. 2.91629697528928
        97. \n", + "\t
      97. 1.42085731776504
        98. \n", + "\t
      98. 0.990366032424225
        99. \n", + "\t
      99. 4.50860832639442
        100. \n", + "\t
      100. 2.50100541035331
        101. \n", + "
      \n", + "
      92. \n", + "\t
      92. \n", + "\t
      1. 5.27960383806294
        2. \n", + "\t
      2. 4.86394151510451
        3. \n", + "\t
      3. 1.34460631222613
        4. \n", + "\t
      4. 9.24262738135583
        5. \n", + "\t
      5. 1.3987003569924
        6. \n", + "\t
      6. 9.43414843949606
        7. \n", + "\t
      7. 3.57653825648737
        8. \n", + "\t
      8. 5.44092824091048
        9. \n", + "\t
      9. 8.026523535601
        10. \n", + "\t
      10. 3.86200665770758
        11. \n", + "\t
      11. 1.08101109368218
        12. \n", + "\t
      12. 4.28550337198259
        13. \n", + "\t
      13. 4.45799723329004
        14. \n", + "\t
      14. 6.26461711206576
        15. \n", + "\t
      15. 4.41027699554454
        16. \n", + "\t
      16. 3.04967520803942
        17. \n", + "\t
      17. 4.94751811376209
        18. \n", + "\t
      18. 3.79895439278122
        19. \n", + "\t
      19. 7.84004446335293
        20. \n", + "\t
      20. 3.53559983873756
        21. \n", + "\t
      21. 9.46378397453853
        22. \n", + "\t
      22. 11.9901652488451
        23. \n", + "\t
      23. 7.97660820808975
        24. \n", + "\t
      24. 1.47668055385936
        25. \n", + "\t
      25. 4.95771909678097
        26. \n", + "\t
      26. 8.48109008170766
        27. \n", + "\t
      27. 4.30518296374426
        28. \n", + "\t
      28. 5.11645726080357
        29. \n", + "\t
      29. 3.18104162644939
        30. \n", + "\t
      30. 2.35197432780952
        31. \n", + "\t
      31. 8.09529235837635
        32. \n", + "\t
      32. 1.52345645892464
        33. \n", + "\t
      33. 6.59740103485564
        34. \n", + "\t
      34. 9.44253290497956
        35. \n", + "\t
      35. 5.29472344518498
        36. \n", + "\t
      36. 4.50049467480746
        37. \n", + "\t
      37. 3.61550616968039
        38. \n", + "\t
      38. 4.07456027181096
        39. \n", + "\t
      39. 3.36496695810063
        40. \n", + "\t
      40. 1.5176456069741
        41. \n", + "\t
      41. 1.89526101983698
        42. \n", + "\t
      42. 3.25862214792726
        43. \n", + "\t
      43. 6.96620049974847
        44. \n", + "\t
      44. 6.27253467325393
        45. \n", + "\t
      45. 5.16587969490936
        46. \n", + "\t
      46. 3.75319967212088
        47. \n", + "\t
      47. 6.21906277826223
        48. \n", + "\t
      48. 3.69692479234187
        49. \n", + "\t
      49. 5.57340458660751
        50. \n", + "\t
      50. 3.31941909053385
        51. \n", + "\t
      51. 3.63248360439662
        52. \n", + "\t
      52. 2.48759713817095
        53. \n", + "\t
      53. 6.17364158421106
        54. \n", + "\t
      54. 4.29791720448282
        55. \n", + "\t
      55. 8.23131066627404
        56. \n", + "\t
      56. 3.35194544483679
        57. \n", + "\t
      57. 2.33577676145788
        58. \n", + "\t
      58. 2.07548954378088
        59. \n", + "\t
      59. 3.50948812028714
        60. \n", + "\t
      60. 4.24121491147421
        61. \n", + "\t
      61. 2.26650563389451
        62. \n", + "\t
      62. 4.14609603369787
        63. \n", + "\t
      63. 4.89646814927519
        64. \n", + "\t
      64. 5.02091843312416
        65. \n", + "\t
      65. 1.88767914104974
        66. \n", + "\t
      66. 2.89625446285489
        67. \n", + "\t
      67. 10.8117824636617
        68. \n", + "\t
      68. 4.6497042061831
        69. \n", + "\t
      69. 5.14924614190206
        70. \n", + "\t
      70. 4.73633238874691
        71. \n", + "\t
      71. 4.62993340122781
        72. \n", + "\t
      72. 2.46930254401806
        73. \n", + "\t
      73. 3.41215908610576
        74. \n", + "\t
      74. 5.18030634491282
        75. \n", + "\t
      75. 4.62545814034862
        76. \n", + "\t
      76. 5.23523854871668
        77. \n", + "\t
      77. 5.61329629865868
        78. \n", + "\t
      78. 3.61815029215322
        79. \n", + "\t
      79. 11.2927464151521
        80. \n", + "\t
      80. 1.57294136688618
        81. \n", + "\t
      81. 2.74652197396164
        82. \n", + "\t
      82. 4.63977359814922
        83. \n", + "\t
      83. 4.37010991978673
        84. \n", + "\t
      84. 2.98754136365754
        85. \n", + "\t
      85. 1.92763304885158
        86. \n", + "\t
      86. 2.20987404613831
        87. \n", + "\t
      87. 7.48281090643095
        88. \n", + "\t
      88. 8.81376644889794
        89. \n", + "\t
      89. 8.72376357537856
        90. \n", + "\t
      90. 4.36891123242678
        91. \n", + "\t
      91. 9.557429042931
        92. \n", + "\t
      92. 1.29628777919912
        93. \n", + "\t
      93. 6.85424952300887
        94. \n", + "\t
      94. 2.48928305101826
        95. \n", + "\t
      95. 2.4320584119959
        96. \n", + "\t
      96. 1.51232983070678
        97. \n", + "\t
      97. 4.37294385768726
        98. \n", + "\t
      98. 6.86728565627638
        99. \n", + "\t
      99. 7.57080914875038
        100. \n", + "\t
      100. 5.83193805452212
        101. \n", + "
      \n", + "
      93. \n", + "\t
      93. \n", + "\t
      1. 7.05445831428572
        2. \n", + "\t
      2. 2.11440681035259
        3. \n", + "\t
      3. 4.33311827880144
        4. \n", + "\t
      4. 10.6003157761093
        5. \n", + "\t
      5. 6.19785685827575
        6. \n", + "\t
      6. 1.31729459302533
        7. \n", + "\t
      7. 0.475120792513975
        8. \n", + "\t
      8. 6.40246999543335
        9. \n", + "\t
      9. 2.18655365694908
        10. \n", + "\t
      10. 3.48915298675693
        11. \n", + "\t
      11. 1.25517031196061
        12. \n", + "\t
      12. 2.48872261775926
        13. \n", + "\t
      13. 2.46606656292188
        14. \n", + "\t
      14. 2.02121932224158
        15. \n", + "\t
      15. 2.32481415702523
        16. \n", + "\t
      16. 1.83559166357582
        17. \n", + "\t
      17. 5.33242790822904
        18. \n", + "\t
      18. 6.02456216457427
        19. \n", + "\t
      19. 3.78149204524225
        20. \n", + "\t
      20. 5.09097738625914
        21. \n", + "\t
      21. 3.53376122841889
        22. \n", + "\t
      22. 6.25028302716601
        23. \n", + "\t
      23. 2.38926534370005
        24. \n", + "\t
      24. 3.12595047275903
        25. \n", + "\t
      25. 2.36138643407906
        26. \n", + "\t
      26. 2.14780755048376
        27. \n", + "\t
      27. 1.59647191244695
        28. \n", + "\t
      28. 1.23654695414209
        29. \n", + "\t
      29. 3.15197372800689
        30. \n", + "\t
      30. 9.4224766522352
        31. \n", + "\t
      31. 1.18562913938342
        32. \n", + "\t
      32. 7.00228458418043
        33. \n", + "\t
      33. 0.741608987230027
        34. \n", + "\t
      34. 4.03004219393751
        35. \n", + "\t
      35. 5.6393524541768
        36. \n", + "\t
      36. 3.83728663560348
        37. \n", + "\t
      37. 5.48917049392053
        38. \n", + "\t
      38. 1.28259109907999
        39. \n", + "\t
      39. 2.85169075419712
        40. \n", + "\t
      40. 7.60251314115149
        41. \n", + "\t
      41. 3.88009479874367
        42. \n", + "\t
      42. 11.3667246989281
        43. \n", + "\t
      43. 10.703837367977
        44. \n", + "\t
      44. 6.30102631945685
        45. \n", + "\t
      45. 5.8568359428411
        46. \n", + "\t
      46. 5.61393250741339
        47. \n", + "\t
      47. 5.51401855292637
        48. \n", + "\t
      48. 6.04430284603014
        49. \n", + "\t
      49. 4.0649322580817
        50. \n", + "\t
      50. 6.81942821086561
        51. \n", + "\t
      51. 4.68480502380391
        52. \n", + "\t
      52. 5.00775418623929
        53. \n", + "\t
      53. 2.22339309721244
        54. \n", + "\t
      54. 6.24230545803128
        55. \n", + "\t
      55. 7.64732579220198
        56. \n", + "\t
      56. 5.99567765796938
        57. \n", + "\t
      57. 2.53096767289553
        58. \n", + "\t
      58. 5.33814111828077
        59. \n", + "\t
      59. 6.55338936261463
        60. \n", + "\t
      60. 1.85171937582798
        61. \n", + "\t
      61. 2.59594402389771
        62. \n", + "\t
      62. 1.42040605638636
        63. \n", + "\t
      63. 4.64666197654773
        64. \n", + "\t
      64. 8.35438618624709
        65. \n", + "\t
      65. 8.30249886979447
        66. \n", + "\t
      66. 4.19711150289752
        67. \n", + "\t
      67. 6.90399879603009
        68. \n", + "\t
      68. 1.83425703922653
        69. \n", + "\t
      69. 4.39813266829045
        70. \n", + "\t
      70. 4.37071846978961
        71. \n", + "\t
      71. 9.85833786172563
        72. \n", + "\t
      72. 7.32245762415834
        73. \n", + "\t
      73. 1.99276756194578
        74. \n", + "\t
      74. 5.24976848260259
        75. \n", + "\t
      75. 3.46183514184836
        76. \n", + "\t
      76. 1.74264974423752
        77. \n", + "\t
      77. 2.85737138913844
        78. \n", + "\t
      78. 2.42030122430679
        79. \n", + "\t
      79. 2.17948412343901
        80. \n", + "\t
      80. 2.98914989849999
        81. \n", + "\t
      81. 2.64212817546864
        82. \n", + "\t
      82. 5.43810266870127
        83. \n", + "\t
      83. 1.87034375077872
        84. \n", + "\t
      84. 3.05411544963774
        85. \n", + "\t
      85. 6.12345727253206
        86. \n", + "\t
      86. 1.52577124791104
        87. \n", + "\t
      87. 5.01108696066213
        88. \n", + "\t
      88. 4.96083725167485
        89. \n", + "\t
      89. 3.76005600373033
        90. \n", + "\t
      90. 1.4106651141103
        91. \n", + "\t
      91. 5.67168825382976
        92. \n", + "\t
      92. 1.26376737263991
        93. \n", + "\t
      93. 2.31593541507051
        94. \n", + "\t
      94. 7.02886451247981
        95. \n", + "\t
      95. 2.49369396251128
        96. \n", + "\t
      96. 2.02039158318238
        97. \n", + "\t
      97. 1.68324606382279
        98. \n", + "\t
      98. 4.44451223805863
        99. \n", + "\t
      99. 2.2623627264454
        100. \n", + "\t
      100. 5.71591529717129
        101. \n", + "
      \n", + "
      94. \n", + "\t
      94. \n", + "\t
      1. 0.998339194727523
        2. \n", + "\t
      2. 3.59504586869822
        3. \n", + "\t
      3. 5.18230805800527
        4. \n", + "\t
      4. 0.727767392802706
        5. \n", + "\t
      5. 1.78338162453536
        6. \n", + "\t
      6. 3.29622646842443
        7. \n", + "\t
      7. 2.31023111156195
        8. \n", + "\t
      8. 1.2945642447614
        9. \n", + "\t
      9. 1.6186548823707
        10. \n", + "\t
      10. 4.13471168649842
        11. \n", + "\t
      11. 2.11926018797601
        12. \n", + "\t
      12. 1.10037634067274
        13. \n", + "\t
      13. 2.7806030621963
        14. \n", + "\t
      14. 4.55587085349963
        15. \n", + "\t
      15. 5.78558379076917
        16. \n", + "\t
      16. 1.13458342459997
        17. \n", + "\t
      17. 1.75996902593764
        18. \n", + "\t
      18. 5.3664501904291
        19. \n", + "\t
      19. 0.99817500456347
        20. \n", + "\t
      20. 2.29347590991945
        21. \n", + "\t
      21. 2.60264438147802
        22. \n", + "\t
      22. 2.63971394853579
        23. \n", + "\t
      23. 2.4245470223955
        24. \n", + "\t
      24. 5.15045637229067
        25. \n", + "\t
      25. 1.51113702264557
        26. \n", + "\t
      26. 1.26730696056086
        27. \n", + "\t
      27. 3.28543616685139
        28. \n", + "\t
      28. 1.62224432619839
        29. \n", + "\t
      29. 2.09116734836235
        30. \n", + "\t
      30. 2.12202006115633
        31. \n", + "\t
      31. 1.02858172633308
        32. \n", + "\t
      32. 1.81574734830264
        33. \n", + "\t
      33. 1.15909446420819
        34. \n", + "\t
      34. 4.16215915601995
        35. \n", + "\t
      35. 1.09714314864593
        36. \n", + "\t
      36. 5.72419169951065
        37. \n", + "\t
      37. 5.90459642124316
        38. \n", + "\t
      38. 1.1226157812321
        39. \n", + "\t
      39. 2.97664817763322
        40. \n", + "\t
      40. 2.20416122278642
        41. \n", + "\t
      41. 3.88276852499565
        42. \n", + "\t
      42. 2.19817921903299
        43. \n", + "\t
      43. 1.06637837718227
        44. \n", + "\t
      44. 2.1259430715922
        45. \n", + "\t
      45. 1.84323662653164
        46. \n", + "\t
      46. 4.29716665821892
        47. \n", + "\t
      47. 1.676880704483
        48. \n", + "\t
      48. 7.06944404028829
        49. \n", + "\t
      49. 2.67016645911746
        50. \n", + "\t
      50. 1.72701922708146
        51. \n", + "\t
      51. 2.02707436829334
        52. \n", + "\t
      52. 0.718199102620869
        53. \n", + "\t
      53. 3.43339619899521
        54. \n", + "\t
      54. 1.64837926646679
        55. \n", + "\t
      55. 3.10806351470528
        56. \n", + "\t
      56. 1.12992372064949
        57. \n", + "\t
      57. 1.9790526617254
        58. \n", + "\t
      58. 5.78902226267249
        59. \n", + "\t
      59. 2.98529185683048
        60. \n", + "\t
      60. 1.23777455518941
        61. \n", + "\t
      61. 6.05554067065117
        62. \n", + "\t
      62. 2.51889233258511
        63. \n", + "\t
      63. 1.85172414818084
        64. \n", + "\t
      64. 1.65932143002637
        65. \n", + "\t
      65. 1.30375565301706
        66. \n", + "\t
      66. 0.956987644812743
        67. \n", + "\t
      67. 3.8468511826125
        68. \n", + "\t
      68. 0.965748853116979
        69. \n", + "\t
      69. 9.06756255792629
        70. \n", + "\t
      70. 7.08495610131407
        71. \n", + "\t
      71. 2.39887438890253
        72. \n", + "\t
      72. 1.68274790519322
        73. \n", + "\t
      73. 4.27779722755304
        74. \n", + "\t
      74. 5.38295596572039
        75. \n", + "\t
      75. 3.12824272334004
        76. \n", + "\t
      76. 6.57347497869333
        77. \n", + "\t
      77. 0.897501730638929
        78. \n", + "\t
      78. 5.23200723699762
        79. \n", + "\t
      79. 1.66997509293778
        80. \n", + "\t
      80. 3.14043444524247
        81. \n", + "\t
      81. 2.01260395925615
        82. \n", + "\t
      82. 2.38688243146514
        83. \n", + "\t
      83. 2.9556089843633
        84. \n", + "\t
      84. 1.57909330765992
        85. \n", + "\t
      85. 1.25068845004113
        86. \n", + "\t
      86. 2.54888864144351
        87. \n", + "\t
      87. 1.3719582847074
        88. \n", + "\t
      88. 1.21127107453278
        89. \n", + "\t
      89. 1.66968266254263
        90. \n", + "\t
      90. 1.11518958615763
        91. \n", + "\t
      91. 3.2322066417936
        92. \n", + "\t
      92. 1.06133587887855
        93. \n", + "\t
      93. 1.25211264470525
        94. \n", + "\t
      94. 1.83475479061237
        95. \n", + "\t
      95. 1.12137650913379
        96. \n", + "\t
      96. 2.92690239182026
        97. \n", + "\t
      97. 2.861233167657
        98. \n", + "\t
      98. 1.24196123137063
        99. \n", + "\t
      99. 1.54064298134361
        100. \n", + "\t
      100. 0.762268179227133
        101. \n", + "
      \n", + "
      95. \n", + "\t
      95. \n", + "\t
      1. 1.43643880405206
        2. \n", + "\t
      2. 1.54867478956706
        3. \n", + "\t
      3. 3.87621896582577
        4. \n", + "\t
      4. 1.94726870172462
        5. \n", + "\t
      5. 2.5742339576891
        6. \n", + "\t
      6. 5.2171820522162
        7. \n", + "\t
      7. 3.52081280689769
        8. \n", + "\t
      8. 6.02398871771579
        9. \n", + "\t
      9. 4.51102817150064
        10. \n", + "\t
      10. 2.65981762009627
        11. \n", + "\t
      11. 1.46275140135667
        12. \n", + "\t
      12. 5.75290458314056
        13. \n", + "\t
      13. 3.98550648781157
        14. \n", + "\t
      14. 4.12321353789506
        15. \n", + "\t
      15. 1.32802398212194
        16. \n", + "\t
      16. 2.94062064732912
        17. \n", + "\t
      17. 3.66706361358782
        18. \n", + "\t
      18. 1.55519841885136
        19. \n", + "\t
      19. 1.89613053750265
        20. \n", + "\t
      20. 1.60312325950956
        21. \n", + "\t
      21. 2.46052750570694
        22. \n", + "\t
      22. 2.82990273763866
        23. \n", + "\t
      23. 1.5633790954497
        24. \n", + "\t
      24. 4.84549682334206
        25. \n", + "\t
      25. 1.74414322819176
        26. \n", + "\t
      26. 5.18983791478587
        27. \n", + "\t
      27. 0.844247228362056
        28. \n", + "\t
      28. 4.35367067298296
        29. \n", + "\t
      29. 6.43907927597862
        30. \n", + "\t
      30. 7.30673880477658
        31. \n", + "\t
      31. 3.66223255011627
        32. \n", + "\t
      32. 1.0979725373601
        33. \n", + "\t
      33. 2.92047937027794
        34. \n", + "\t
      34. 5.1468672003422
        35. \n", + "\t
      35. 4.08975625538041
        36. \n", + "\t
      36. 3.06536343718075
        37. \n", + "\t
      37. 5.33507206273269
        38. \n", + "\t
      38. 6.37687260211683
        39. \n", + "\t
      39. 4.525984624515
        40. \n", + "\t
      40. 5.75978500222561
        41. \n", + "\t
      41. 2.94346003170871
        42. \n", + "\t
      42. 5.91311064121097
        43. \n", + "\t
      43. 1.11570382619415
        44. \n", + "\t
      44. 2.1952775045174
        45. \n", + "\t
      45. 4.14634647459473
        46. \n", + "\t
      46. 5.8286000896229
        47. \n", + "\t
      47. 4.31981344490456
        48. \n", + "\t
      48. 2.89241213642501
        49. \n", + "\t
      49. 3.02401973733788
        50. \n", + "\t
      50. 1.58029083447084
        51. \n", + "\t
      51. 5.31997180366737
        52. \n", + "\t
      52. 4.68173763198653
        53. \n", + "\t
      53. 2.40621419744565
        54. \n", + "\t
      54. 3.03923300147406
        55. \n", + "\t
      55. 5.14894958828532
        56. \n", + "\t
      56. 6.12188897150415
        57. \n", + "\t
      57. 5.08321008173743
        58. \n", + "\t
      58. 2.21670091070366
        59. \n", + "\t
      59. 2.83550500594612
        60. \n", + "\t
      60. 2.69463580897004
        61. \n", + "\t
      61. 6.7518684186614
        62. \n", + "\t
      62. 3.84109130270764
        63. \n", + "\t
      63. 2.53422031002786
        64. \n", + "\t
      64. 0.951731400849121
        65. \n", + "\t
      65. 4.15103742109718
        66. \n", + "\t
      66. 2.22803806951928
        67. \n", + "\t
      67. 5.13219386444939
        68. \n", + "\t
      68. 2.93156989153062
        69. \n", + "\t
      69. 1.05566948573595
        70. \n", + "\t
      70. 1.92842120293313
        71. \n", + "\t
      71. 3.16479537221521
        72. \n", + "\t
      72. 1.51909188260437
        73. \n", + "\t
      73. 2.20626921350063
        74. \n", + "\t
      74. 4.87737564447012
        75. \n", + "\t
      75. 6.0588877289465
        76. \n", + "\t
      76. 1.67898829135586
        77. \n", + "\t
      77. 2.94425149766152
        78. \n", + "\t
      78. 1.32002051551156
        79. \n", + "\t
      79. 4.8019292384043
        80. \n", + "\t
      80. 4.23627131186268
        81. \n", + "\t
      81. 3.46659002452724
        82. \n", + "\t
      82. 6.07240336250166
        83. \n", + "\t
      83. 2.73528214309522
        84. \n", + "\t
      84. 5.4984960446979
        85. \n", + "\t
      85. 2.44153288168726
        86. \n", + "\t
      86. 4.1036833644979
        87. \n", + "\t
      87. 6.40760228531041
        88. \n", + "\t
      88. 1.66058418362417
        89. \n", + "\t
      89. 0.651160160248533
        90. \n", + "\t
      90. 3.55444497177945
        91. \n", + "\t
      91. 3.53710510477784
        92. \n", + "\t
      92. 3.7161524986302
        93. \n", + "\t
      93. 5.06451679462338
        94. \n", + "\t
      94. 1.45429005740805
        95. \n", + "\t
      95. 2.8513645812963
        96. \n", + "\t
      96. 2.67416636394247
        97. \n", + "\t
      97. 4.97914632778663
        98. \n", + "\t
      98. 2.66009332083154
        99. \n", + "\t
      99. 1.56295942135331
        100. \n", + "\t
      100. 2.82828156545098
        101. \n", + "
      \n", + "
      96. \n", + "\t
      96. \n", + "\t
      1. 5.31123599665174
        2. \n", + "\t
      2. 2.6782399299104
        3. \n", + "\t
      3. 4.06903211031843
        4. \n", + "\t
      4. 2.46559724931941
        5. \n", + "\t
      5. 5.63716257897125
        6. \n", + "\t
      6. 2.45129259929994
        7. \n", + "\t
      7. 8.11032780677088
        8. \n", + "\t
      8. 6.76869142548798
        9. \n", + "\t
      9. 8.06804523781269
        10. \n", + "\t
      10. 2.97936537404365
        11. \n", + "\t
      11. 3.29828292124787
        12. \n", + "\t
      12. 4.14968351037537
        13. \n", + "\t
      13. 4.35342353152183
        14. \n", + "\t
      14. 1.55830073013505
        15. \n", + "\t
      15. 5.6602059141095
        16. \n", + "\t
      16. 3.60205864051197
        17. \n", + "\t
      17. 4.00122878423867
        18. \n", + "\t
      18. 2.96539846775199
        19. \n", + "\t
      19. 4.30188369787398
        20. \n", + "\t
      20. 3.58186691096708
        21. \n", + "\t
      21. 2.3949657661787
        22. \n", + "\t
      22. 4.38613793456937
        23. \n", + "\t
      23. 1.86846822853612
        24. \n", + "\t
      24. 2.24395133157509
        25. \n", + "\t
      25. 4.37439138652786
        26. \n", + "\t
      26. 3.64357168724138
        27. \n", + "\t
      27. 2.09522410607595
        28. \n", + "\t
      28. 3.11252919332491
        29. \n", + "\t
      29. 1.13987211188936
        30. \n", + "\t
      30. 2.37354077351319
        31. \n", + "\t
      31. 3.5888382405005
        32. \n", + "\t
      32. 6.58410575049697
        33. \n", + "\t
      33. 9.39341916323933
        34. \n", + "\t
      34. 3.16879812497586
        35. \n", + "\t
      35. 2.05557493952022
        36. \n", + "\t
      36. 1.94904257707117
        37. \n", + "\t
      37. 1.50887401299584
        38. \n", + "\t
      38. 1.94976800002086
        39. \n", + "\t
      39. 2.25270849425213
        40. \n", + "\t
      40. 3.48065220462912
        41. \n", + "\t
      41. 2.03898225609372
        42. \n", + "\t
      42. 2.70210938127278
        43. \n", + "\t
      43. 1.86810689013887
        44. \n", + "\t
      44. 7.44540104856528
        45. \n", + "\t
      45. 2.61896134534881
        46. \n", + "\t
      46. 4.46653136400798
        47. \n", + "\t
      47. 1.23162681910072
        48. \n", + "\t
      48. 3.30431400491656
        49. \n", + "\t
      49. 2.0159740172404
        50. \n", + "\t
      50. 1.90055175529677
        51. \n", + "\t
      51. 1.90743535102928
        52. \n", + "\t
      52. 8.55796456474423
        53. \n", + "\t
      53. 1.10823498277059
        54. \n", + "\t
      54. 3.8256951961443
        55. \n", + "\t
      55. 6.18206807526252
        56. \n", + "\t
      56. 8.08380463855267
        57. \n", + "\t
      57. 6.99113546122814
        58. \n", + "\t
      58. 1.44595199843346
        59. \n", + "\t
      59. 3.89004504882135
        60. \n", + "\t
      60. 7.27955435245444
        61. \n", + "\t
      61. 3.03143384685337
        62. \n", + "\t
      62. 3.07312717500267
        63. \n", + "\t
      63. 4.16906882335074
        64. \n", + "\t
      64. 2.00683887868271
        65. \n", + "\t
      65. 2.58085638155415
        66. \n", + "\t
      66. 4.85477206618362
        67. \n", + "\t
      67. 1.46576258350094
        68. \n", + "\t
      68. 1.79336947108072
        69. \n", + "\t
      69. 6.88305820850394
        70. \n", + "\t
      70. 2.6092720463159
        71. \n", + "\t
      71. 2.16620261453973
        72. \n", + "\t
      72. 3.49382814518736
        73. \n", + "\t
      73. 6.12850487601244
        74. \n", + "\t
      74. 2.90178719374118
        75. \n", + "\t
      75. 3.37895866678373
        76. \n", + "\t
      76. 4.20415058944357
        77. \n", + "\t
      77. 4.15956763947138
        78. \n", + "\t
      78. 4.50171177962191
        79. \n", + "\t
      79. 5.40882538719338
        80. \n", + "\t
      80. 5.33171920885349
        81. \n", + "\t
      81. 1.26627930830959
        82. \n", + "\t
      82. 7.5871784381666
        83. \n", + "\t
      83. 4.59798170314301
        84. \n", + "\t
      84. 4.86161260376263
        85. \n", + "\t
      85. 3.75285573073823
        86. \n", + "\t
      86. 6.78634126785394
        87. \n", + "\t
      87. 4.05362397260599
        88. \n", + "\t
      88. 3.10673646460336
        89. \n", + "\t
      89. 2.93727014691759
        90. \n", + "\t
      90. 2.17440026460763
        91. \n", + "\t
      91. 0.990088498831513
        92. \n", + "\t
      92. 2.64208896655188
        93. \n", + "\t
      93. 4.52615607367195
        94. \n", + "\t
      94. 4.65959282833915
        95. \n", + "\t
      95. 4.31195576014804
        96. \n", + "\t
      96. 5.9642136288838
        97. \n", + "\t
      97. 7.9942527571839
        98. \n", + "\t
      98. 8.83394161713035
        99. \n", + "\t
      99. 6.22396372490012
        100. \n", + "\t
      100. 3.70240794926587
        101. \n", + "
      \n", + "
      97. \n", + "\t
      97. \n", + "\t
      1. 10.4526521051621
        2. \n", + "\t
      2. 2.51866387434055
        3. \n", + "\t
      3. 4.92786311363469
        4. \n", + "\t
      4. 3.8875002759213
        5. \n", + "\t
      5. 2.66783936644446
        6. \n", + "\t
      6. 2.74023376498258
        7. \n", + "\t
      7. 1.7341884219078
        8. \n", + "\t
      8. 1.09756538134191
        9. \n", + "\t
      9. 5.62313879726521
        10. \n", + "\t
      10. 1.06727122887135
        11. \n", + "\t
      11. 6.36268412203547
        12. \n", + "\t
      12. 8.99499335599424
        13. \n", + "\t
      13. 3.06489214057882
        14. \n", + "\t
      14. 2.42870118965495
        15. \n", + "\t
      15. 4.43516282992955
        16. \n", + "\t
      16. 1.82076166800488
        17. \n", + "\t
      17. 2.06666236200352
        18. \n", + "\t
      18. 5.47448109949682
        19. \n", + "\t
      19. 6.53302707195576
        20. \n", + "\t
      20. 2.75807399827481
        21. \n", + "\t
      21. 2.94105352728979
        22. \n", + "\t
      22. 0.867816087552038
        23. \n", + "\t
      23. 5.33951092107493
        24. \n", + "\t
      24. 2.79057935793874
        25. \n", + "\t
      25. 1.50428787540203
        26. \n", + "\t
      26. 6.24014093855965
        27. \n", + "\t
      27. 1.55948551130947
        28. \n", + "\t
      28. 4.96283734584717
        29. \n", + "\t
      29. 4.30269816910587
        30. \n", + "\t
      30. 2.95507028269207
        31. \n", + "\t
      31. 5.422381225354
        32. \n", + "\t
      32. 9.26287125548401
        33. \n", + "\t
      33. 5.82190884338283
        34. \n", + "\t
      34. 2.81792470899289
        35. \n", + "\t
      35. 4.17607248016334
        36. \n", + "\t
      36. 5.78441354192855
        37. \n", + "\t
      37. 1.08424453985276
        38. \n", + "\t
      38. 3.50183615304928
        39. \n", + "\t
      39. 1.67656500084971
        40. \n", + "\t
      40. 1.29082570862042
        41. \n", + "\t
      41. 2.90225271261648
        42. \n", + "\t
      42. 6.91957534691616
        43. \n", + "\t
      43. 1.66393033921108
        44. \n", + "\t
      44. 6.20969311121987
        45. \n", + "\t
      45. 0.800148198352963
        46. \n", + "\t
      46. 3.12763662350297
        47. \n", + "\t
      47. 4.24083758644514
        48. \n", + "\t
      48. 2.26113019116354
        49. \n", + "\t
      49. 7.7314182292677
        50. \n", + "\t
      50. 5.26984002325146
        51. \n", + "\t
      51. 2.79190036230627
        52. \n", + "\t
      52. 2.27999917745078
        53. \n", + "\t
      53. 4.98869932576026
        54. \n", + "\t
      54. 4.4955591419767
        55. \n", + "\t
      55. 3.92844614663785
        56. \n", + "\t
      56. 0.999550086203963
        57. \n", + "\t
      57. 5.51233633191641
        58. \n", + "\t
      58. 6.58426456563903
        59. \n", + "\t
      59. 1.45297422218786
        60. \n", + "\t
      60. 1.58516552968991
        61. \n", + "\t
      61. 4.11445477122049
        62. \n", + "\t
      62. 4.00586870703575
        63. \n", + "\t
      63. 7.02231833330877
        64. \n", + "\t
      64. 4.7526636003567
        65. \n", + "\t
      65. 9.37990078141619
        66. \n", + "\t
      66. 2.63572059497556
        67. \n", + "\t
      67. 1.96105805331577
        68. \n", + "\t
      68. 2.50864844367821
        69. \n", + "\t
      69. 1.73642024579219
        70. \n", + "\t
      70. 1.70843723269708
        71. \n", + "\t
      71. 1.19811780364575
        72. \n", + "\t
      72. 2.74402442340597
        73. \n", + "\t
      73. 1.88864676269605
        74. \n", + "\t
      74. 3.84955644412535
        75. \n", + "\t
      75. 3.38774090496417
        76. \n", + "\t
      76. 1.67805350094979
        77. \n", + "\t
      77. 2.93348640032768
        78. \n", + "\t
      78. 2.77654442986113
        79. \n", + "\t
      79. 9.49405218412434
        80. \n", + "\t
      80. 1.47443916792082
        81. \n", + "\t
      81. 5.69935930340726
        82. \n", + "\t
      82. 5.3590202335195
        83. \n", + "\t
      83. 6.11234470163938
        84. \n", + "\t
      84. 4.94206183214134
        85. \n", + "\t
      85. 5.46981170732008
        86. \n", + "\t
      86. 3.79794759252856
        87. \n", + "\t
      87. 5.31375855956185
        88. \n", + "\t
      88. 6.76725791373714
        89. \n", + "\t
      89. 7.09759017435392
        90. \n", + "\t
      90. 2.24835279029714
        91. \n", + "\t
      91. 1.53726921500642
        92. \n", + "\t
      92. 4.08854573643648
        93. \n", + "\t
      93. 2.49937798926393
        94. \n", + "\t
      94. 3.25710688643049
        95. \n", + "\t
      95. 5.79530714182709
        96. \n", + "\t
      96. 3.95566412968168
        97. \n", + "\t
      97. 1.77296403371723
        98. \n", + "\t
      98. 5.8124045749696
        99. \n", + "\t
      99. 5.58467802006371
        100. \n", + "\t
      100. 1.37793723741118
        101. \n", + "
      \n", + "
      98. \n", + "\t
      98. \n", + "\t
      1. 5.09301510126004
        2. \n", + "\t
      2. 2.59017986916075
        3. \n", + "\t
      3. 4.93102914931453
        4. \n", + "\t
      4. 3.6850494446169
        5. \n", + "\t
      5. 4.36151722061351
        6. \n", + "\t
      6. 5.67817918151401
        7. \n", + "\t
      7. 6.57699528470907
        8. \n", + "\t
      8. 2.56994611453519
        9. \n", + "\t
      9. 6.57955788043246
        10. \n", + "\t
      10. 5.50393672216401
        11. \n", + "\t
      11. 5.646580412283
        12. \n", + "\t
      12. 3.54533991087374
        13. \n", + "\t
      13. 1.94437324383978
        14. \n", + "\t
      14. 2.10432073603472
        15. \n", + "\t
      15. 2.9863787677771
        16. \n", + "\t
      16. 2.66628202767887
        17. \n", + "\t
      17. 1.14085693391141
        18. \n", + "\t
      18. 5.04321869378984
        19. \n", + "\t
      19. 7.37594925308816
        20. \n", + "\t
      20. 8.13461356174798
        21. \n", + "\t
      21. 2.66837055509067
        22. \n", + "\t
      22. 5.52377136988509
        23. \n", + "\t
      23. 3.47259927610317
        24. \n", + "\t
      24. 3.26129784658306
        25. \n", + "\t
      25. 6.58640833706442
        26. \n", + "\t
      26. 1.57264567858051
        27. \n", + "\t
      27. 3.29216216621452
        28. \n", + "\t
      28. 2.19715959176736
        29. \n", + "\t
      29. 5.35103282354955
        30. \n", + "\t
      30. 0.678554674556883
        31. \n", + "\t
      31. 5.70870009989537
        32. \n", + "\t
      32. 9.66191577398825
        33. \n", + "\t
      33. 7.86382656996831
        34. \n", + "\t
      34. 3.06787775935674
        35. \n", + "\t
      35. 5.64095555666707
        36. \n", + "\t
      36. 6.35307980878714
        37. \n", + "\t
      37. 6.81914109885297
        38. \n", + "\t
      38. 3.54174284300462
        39. \n", + "\t
      39. 1.88571350466238
        40. \n", + "\t
      40. 3.0799880963638
        41. \n", + "\t
      41. 3.71235018710165
        42. \n", + "\t
      42. 5.35891955181887
        43. \n", + "\t
      43. 6.91833643230657
        44. \n", + "\t
      44. 2.21606428646983
        45. \n", + "\t
      45. 5.26896804987689
        46. \n", + "\t
      46. 4.07361121796019
        47. \n", + "\t
      47. 0.929733136517054
        48. \n", + "\t
      48. 1.59501232117136
        49. \n", + "\t
      49. 5.64367023651203
        50. \n", + "\t
      50. 4.29677386315364
        51. \n", + "\t
      51. 8.13408488844321
        52. \n", + "\t
      52. 3.12372950142313
        53. \n", + "\t
      53. 3.17150552029658
        54. \n", + "\t
      54. 2.17448367599913
        55. \n", + "\t
      55. 3.26232720301522
        56. \n", + "\t
      56. 5.6740209159521
        57. \n", + "\t
      57. 3.05391283067407
        58. \n", + "\t
      58. 5.63644318167605
        59. \n", + "\t
      59. 1.81508666832576
        60. \n", + "\t
      60. 2.66831946318201
        61. \n", + "\t
      61. 3.42669348239697
        62. \n", + "\t
      62. 2.66449013365484
        63. \n", + "\t
      63. 5.65454891756714
        64. \n", + "\t
      64. 6.34545009865251
        65. \n", + "\t
      65. 5.52933126751571
        66. \n", + "\t
      66. 5.00789443893993
        67. \n", + "\t
      67. 2.8224700582697
        68. \n", + "\t
      68. 8.04114947689733
        69. \n", + "\t
      69. 3.05137794119346
        70. \n", + "\t
      70. 1.65286889798413
        71. \n", + "\t
      71. 6.97073587249261
        72. \n", + "\t
      72. 3.23772669796999
        73. \n", + "\t
      73. 2.67588762953794
        74. \n", + "\t
      74. 2.56020959272308
        75. \n", + "\t
      75. 6.61954278899224
        76. \n", + "\t
      76. 0.858132574424284
        77. \n", + "\t
      77. 1.95153763052946
        78. \n", + "\t
      78. 2.33530152976736
        79. \n", + "\t
      79. 6.2870462406345
        80. \n", + "\t
      80. 7.71194944070257
        81. \n", + "\t
      81. 2.3675316597369
        82. \n", + "\t
      82. 6.46031186943194
        83. \n", + "\t
      83. 2.9782470110051
        84. \n", + "\t
      84. 6.03706700167875
        85. \n", + "\t
      85. 2.82217026445676
        86. \n", + "\t
      86. 2.71070006533968
        87. \n", + "\t
      87. 5.68319399234432
        88. \n", + "\t
      88. 10.0636579760528
        89. \n", + "\t
      89. 4.3865762012892
        90. \n", + "\t
      90. 4.66451159951664
        91. \n", + "\t
      91. 11.4524443837179
        92. \n", + "\t
      92. 3.57679625501646
        93. \n", + "\t
      93. 5.12664299727215
        94. \n", + "\t
      94. 4.24159762062656
        95. \n", + "\t
      95. 5.05575171655485
        96. \n", + "\t
      96. 3.92755046847105
        97. \n", + "\t
      97. 3.68081474631123
        98. \n", + "\t
      98. 4.54431916153332
        99. \n", + "\t
      99. 4.19712182854816
        100. \n", + "\t
      100. 2.14146755330852
        101. \n", + "
      \n", + "
      99. \n", + "\t
      99. \n", + "\t
      1. 2.04146146097474
        2. \n", + "\t
      2. 2.42554203336452
        3. \n", + "\t
      3. 5.25249396126971
        4. \n", + "\t
      4. 6.19263756309587
        5. \n", + "\t
      5. 4.62362494806606
        6. \n", + "\t
      6. 4.09340335092382
        7. \n", + "\t
      7. 1.93115853027738
        8. \n", + "\t
      8. 1.26219544794501
        9. \n", + "\t
      9. 1.39292734017683
        10. \n", + "\t
      10. 6.64912605674998
        11. \n", + "\t
      11. 3.87415121741122
        12. \n", + "\t
      12. 3.52534085845787
        13. \n", + "\t
      13. 3.27585579081467
        14. \n", + "\t
      14. 1.42598534713456
        15. \n", + "\t
      15. 1.37343204848947
        16. \n", + "\t
      16. 3.12273537182672
        17. \n", + "\t
      17. 4.50637881201643
        18. \n", + "\t
      18. 4.45828089388747
        19. \n", + "\t
      19. 3.23627070875351
        20. \n", + "\t
      20. 4.25276398281523
        21. \n", + "\t
      21. 3.78857082612984
        22. \n", + "\t
      22. 2.14046171983346
        23. \n", + "\t
      23. 1.76159567747779
        24. \n", + "\t
      24. 4.16967480133055
        25. \n", + "\t
      25. 2.58009851216467
        26. \n", + "\t
      26. 1.1019584219254
        27. \n", + "\t
      27. 1.727132675334
        28. \n", + "\t
      28. 1.51970545019593
        29. \n", + "\t
      29. 4.95530366487367
        30. \n", + "\t
      30. 4.07938147282209
        31. \n", + "\t
      31. 1.53444272760632
        32. \n", + "\t
      32. 0.431415774415312
        33. \n", + "\t
      33. 0.85691615345478
        34. \n", + "\t
      34. 5.77623716501355
        35. \n", + "\t
      35. 3.55366843475954
        36. \n", + "\t
      36. 1.56832368814692
        37. \n", + "\t
      37. 1.25145141958583
        38. \n", + "\t
      38. 3.30678262446153
        39. \n", + "\t
      39. 4.27530576831439
        40. \n", + "\t
      40. 0.472475633419961
        41. \n", + "\t
      41. 1.23141030940955
        42. \n", + "\t
      42. 2.46179807333542
        43. \n", + "\t
      43. 0.530654406606547
        44. \n", + "\t
      44. 1.44914302291089
        45. \n", + "\t
      45. 1.18470677808123
        46. \n", + "\t
      46. 0.334843055788787
        47. \n", + "\t
      47. 2.24789693467148
        48. \n", + "\t
      48. 3.66222658666611
        49. \n", + "\t
      49. 0.651384460631593
        50. \n", + "\t
      50. 4.68466307668709
        51. \n", + "\t
      51. 1.35850908221928
        52. \n", + "\t
      52. 1.64079495349557
        53. \n", + "\t
      53. 3.17735022165765
        54. \n", + "\t
      54. 2.02334097137212
        55. \n", + "\t
      55. 3.74371991379895
        56. \n", + "\t
      56. 2.45139863796661
        57. \n", + "\t
      57. 4.76052806118108
        58. \n", + "\t
      58. 4.93497303104865
        59. \n", + "\t
      59. 1.43496174800101
        60. \n", + "\t
      60. 2.38517894722624
        61. \n", + "\t
      61. 2.83222800576101
        62. \n", + "\t
      62. 5.73817660483561
        63. \n", + "\t
      63. 3.13022090527497
        64. \n", + "\t
      64. 5.75687094906348
        65. \n", + "\t
      65. 2.52952353273524
        66. \n", + "\t
      66. 0.641764419555756
        67. \n", + "\t
      67. 5.69308167587773
        68. \n", + "\t
      68. 5.3994040982222
        69. \n", + "\t
      69. 3.84091395089706
        70. \n", + "\t
      70. 1.33861790695842
        71. \n", + "\t
      71. 3.84842783875693
        72. \n", + "\t
      72. 1.81922062199453
        73. \n", + "\t
      73. 1.87676134651359
        74. \n", + "\t
      74. 0.689927407833831
        75. \n", + "\t
      75. 1.49037097042834
        76. \n", + "\t
      76. 0.552457590870918
        77. \n", + "\t
      77. 1.41006429297135
        78. \n", + "\t
      78. 4.91884005110471
        79. \n", + "\t
      79. 3.88768971456017
        80. \n", + "\t
      80. 2.83677352437254
        81. \n", + "\t
      81. 2.71636305053575
        82. \n", + "\t
      82. 1.07476012784537
        83. \n", + "\t
      83. 2.6352059103364
        84. \n", + "\t
      84. 2.15305157582722
        85. \n", + "\t
      85. 2.6621805412283
        86. \n", + "\t
      86. 0.559108906844843
        87. \n", + "\t
      87. 3.60015333752607
        88. \n", + "\t
      88. 1.61096782878387
        89. \n", + "\t
      89. 1.5474636329926
        90. \n", + "\t
      90. 1.92553114094238
        91. \n", + "\t
      91. 1.78867372891052
        92. \n", + "\t
      92. 4.81926158272027
        93. \n", + "\t
      93. 2.91362060774003
        94. \n", + "\t
      94. 1.29529540258203
        95. \n", + "\t
      95. 4.2895630854609
        96. \n", + "\t
      96. 3.19433034008136
        97. \n", + "\t
      97. 4.18337653538384
        98. \n", + "\t
      98. 0.675435856280608
        99. \n", + "\t
      99. 1.29845027240727
        100. \n", + "\t
      100. 7.11598618003524
        101. \n", + "
      \n", + "
      100. \n", + "\t
      100. \n", + "\t
      1. 4.43944704890988
        2. \n", + "\t
      2. 3.54231122384243
        3. \n", + "\t
      3. 9.91757142656201
        4. \n", + "\t
      4. 5.04147848446689
        5. \n", + "\t
      5. 5.97730048608501
        6. \n", + "\t
      6. 1.15287230275333
        7. \n", + "\t
      7. 3.50973740946375
        8. \n", + "\t
      8. 5.88083151811405
        9. \n", + "\t
      9. 4.00905563289877
        10. \n", + "\t
      10. 7.71647258845813
        11. \n", + "\t
      11. 7.56332902348785
        12. \n", + "\t
      12. 4.07457600763432
        13. \n", + "\t
      13. 2.60613427024997
        14. \n", + "\t
      14. 4.18475456574651
        15. \n", + "\t
      15. 5.4416653905488
        16. \n", + "\t
      16. 4.6890959032634
        17. \n", + "\t
      17. 3.13349477761043
        18. \n", + "\t
      18. 4.11504935504607
        19. \n", + "\t
      19. 4.61905397145515
        20. \n", + "\t
      20. 5.95511991407191
        21. \n", + "\t
      21. 4.61270123566858
        22. \n", + "\t
      22. 3.39026348666788
        23. \n", + "\t
      23. 3.73955598196214
        24. \n", + "\t
      24. 7.11583373551326
        25. \n", + "\t
      25. 3.24644432594063
        26. \n", + "\t
      26. 8.19249580489309
        27. \n", + "\t
      27. 4.04429946704869
        28. \n", + "\t
      28. 7.54922381863185
        29. \n", + "\t
      29. 5.43602438568103
        30. \n", + "\t
      30. 2.5915246945874
        31. \n", + "\t
      31. 6.15477711289347
        32. \n", + "\t
      32. 1.56820798156013
        33. \n", + "\t
      33. 4.89706317802843
        34. \n", + "\t
      34. 1.44411387712469
        35. \n", + "\t
      35. 6.22505578756493
        36. \n", + "\t
      36. 3.19627609883623
        37. \n", + "\t
      37. 1.64145654509368
        38. \n", + "\t
      38. 6.72592228882691
        39. \n", + "\t
      39. 8.24544280599653
        40. \n", + "\t
      40. 3.37857855698227
        41. \n", + "\t
      41. 4.91461992529451
        42. \n", + "\t
      42. 4.91003768061374
        43. \n", + "\t
      43. 4.09619715338891
        44. \n", + "\t
      44. 2.83810343471771
        45. \n", + "\t
      45. 2.08150018190126
        46. \n", + "\t
      46. 4.44743128572487
        47. \n", + "\t
      47. 3.68884833098128
        48. \n", + "\t
      48. 4.56853766798641
        49. \n", + "\t
      49. 3.03637610948974
        50. \n", + "\t
      50. 4.06070729208018
        51. \n", + "\t
      51. 5.53239352132721
        52. \n", + "\t
      52. 0.68197370500225
        53. \n", + "\t
      53. 7.3995770941421
        54. \n", + "\t
      54. 4.52232704850611
        55. \n", + "\t
      55. 8.97801252015206
        56. \n", + "\t
      56. 3.97397917856927
        57. \n", + "\t
      57. 7.55351413077734
        58. \n", + "\t
      58. 1.92064354509496
        59. \n", + "\t
      59. 1.55321275272765
        60. \n", + "\t
      60. 2.94193388160428
        61. \n", + "\t
      61. 6.7855561305636
        62. \n", + "\t
      62. 1.21969369680606
        63. \n", + "\t
      63. 6.23351538450622
        64. \n", + "\t
      64. 3.72854868095465
        65. \n", + "\t
      65. 1.70880586167537
        66. \n", + "\t
      66. 7.08779361220186
        67. \n", + "\t
      67. 7.08197492354052
        68. \n", + "\t
      68. 7.82385077022362
        69. \n", + "\t
      69. 4.87845320495577
        70. \n", + "\t
      70. 5.19480164775158
        71. \n", + "\t
      71. 5.04996939004307
        72. \n", + "\t
      72. 6.0580602687296
        73. \n", + "\t
      73. 5.38637104536737
        74. \n", + "\t
      74. 5.29467546181735
        75. \n", + "\t
      75. 1.93307295200606
        76. \n", + "\t
      76. 4.51076107400563
        77. \n", + "\t
      77. 1.57604180482628
        78. \n", + "\t
      78. 1.72698149409875
        79. \n", + "\t
      79. 2.32250771311727
        80. \n", + "\t
      80. 6.69450290284423
        81. \n", + "\t
      81. 2.18900289645537
        82. \n", + "\t
      82. 5.99477950461434
        83. \n", + "\t
      83. 2.96418889367398
        84. \n", + "\t
      84. 3.15506895289002
        85. \n", + "\t
      85. 7.86743024143043
        86. \n", + "\t
      86. 5.40840685271142
        87. \n", + "\t
      87. 3.45538578412009
        88. \n", + "\t
      88. 4.5320324201743
        89. \n", + "\t
      89. 2.33814519226334
        90. \n", + "\t
      90. 6.79974000787963
        91. \n", + "\t
      91. 2.39859169711112
        92. \n", + "\t
      92. 1.94686568029196
        93. \n", + "\t
      93. 6.28300231798968
        94. \n", + "\t
      94. 5.97977876282073
        95. \n", + "\t
      95. 1.95333222138206
        96. \n", + "\t
      96. 3.53392062515595
        97. \n", + "\t
      97. 6.7164339394685
        98. \n", + "\t
      98. 4.44654046050198
        99. \n", + "\t
      99. 1.89288546957546
        100. \n", + "\t
      100. 5.67134591426356
        101. \n", + "
      \n", + "
      101. \n", + "
    \n", + "
    \n", + "
    \n" + ], + "text/latex": [ + "\\begin{description}\n", + "\\item[\\$num\\_boot] 100\n", + "\\item[\\$method] 'RF'\n", + "\\item[\\$stab\\_index] \\begin{enumerate*}\n", + "\\item 0.07\n", + "\\item 0.03\n", + "\\item 0.06\n", + "\\item 0.02\n", + "\\item 0.05\n", + "\\item 0.04\n", + "\\item 0.04\n", + "\\item 0.03\n", + "\\item 0.04\n", + "\\item 0.03\n", + "\\item 0.02\n", + "\\item 0.01\n", + "\\item 0.05\n", + "\\item 0.03\n", + "\\item 0.02\n", + "\\item 0.05\n", + "\\item 0.04\n", + "\\item 0.06\n", + "\\item 0.06\n", + "\\item 0.06\n", + "\\item 0.11\n", + "\\item 0.05\n", + "\\item 0.05\n", + "\\item 0.04\n", + "\\item 0.04\n", + "\\item 0.04\n", + "\\item 0.03\n", + "\\item 0.04\n", + "\\item 0.04\n", + "\\item 0.05\n", + "\\item 0.02\n", + "\\item 0.05\n", + "\\item 0.04\n", + "\\item 0.06\n", + "\\item 0.05\n", + "\\item 0.06\n", + "\\item 0.07\n", + "\\item 0.05\n", + "\\item 0.03\n", + "\\item 0.03\n", + "\\item 0.03\n", + "\\item 0.02\n", + "\\item 0.02\n", + "\\item 0.03\n", + "\\item 0.05\n", + "\\item 0.03\n", + "\\item 0.05\n", + "\\item 0.02\n", + "\\item 0.04\n", + "\\item 0.04\n", + "\\item 0.01\n", + "\\item 0.04\n", + "\\item 0.06\n", + "\\item 0.02\n", + "\\item 0.03\n", + "\\item 0.07\n", + "\\item 0.02\n", + "\\item 0.02\n", + "\\item 0.03\n", + "\\item 0.04\n", + "\\item 0.03\n", + "\\item 0.01\n", + "\\item 0.07\n", + "\\item 0.03\n", + "\\item 0.03\n", + "\\item 0.03\n", + "\\item 0.03\n", + "\\item 0.03\n", + "\\item 0.06\n", + "\\item 0.04\n", + "\\item 0.05\n", + "\\item 0.06\n", + "\\item 0.03\n", + "\\item 0.04\n", + "\\item 0.08\n", + "\\item 0.03\n", + "\\item 0.05\n", + "\\item 0.04\n", + "\\item 0.05\n", + "\\item 0.05\n", + "\\item 0.09\n", + "\\item 0.03\n", + "\\item 0.04\n", + "\\item 0.03\n", + "\\item 0.08\n", + "\\item 0.02\n", + "\\item 0.01\n", + "\\item 0.03\n", + "\\item 0.04\n", + "\\item 0.03\n", + "\\item 0.01\n", + "\\item 0.05\n", + "\\item 0.04\n", + "\\item 0.03\n", + "\\item 0.05\n", + "\\item 0.03\n", + "\\item 0.05\n", + "\\item 0.05\n", + "\\item 0.03\n", + "\\item 0.04\n", + "\\end{enumerate*}\n", + "\n", + "\\item[\\$MSE\\_list] \\begin{enumerate}\n", + "\\item \\begin{enumerate}\n", + "\\item 4.24652195647008\n", + "\\item 4.73773613097135\n", + "\\item 2.0321873386989\n", + "\\item 5.01697843233564\n", + "\\item 5.1259150110502\n", + "\\item 6.80593659586904\n", + "\\item 5.07917219182361\n", + "\\item 1.2879014360624\n", + "\\item 5.38321982666049\n", + "\\item 3.8617669962733\n", + "\\item 6.00404884084858\n", + "\\item 6.08992564084563\n", + "\\item 3.33183710048462\n", + "\\item 3.41638912945331\n", + "\\item 5.95065500815286\n", + "\\item 4.49603057409989\n", + "\\item 4.58559509473614\n", + "\\item 5.58656197672676\n", + "\\item 3.63695452092639\n", + "\\item 5.72853987593844\n", + "\\item 7.19264776805786\n", + "\\item 1.74735999520989\n", + "\\item 5.29388207910599\n", + "\\item 4.20895287022613\n", + "\\item 1.86223955822394\n", + "\\item 7.30621759933235\n", + "\\item 6.11994921739044\n", + "\\item 3.47452366127991\n", + "\\item 5.00876026204143\n", + "\\item 12.6490810260065\n", + "\\item 1.94640352359205\n", + "\\item 5.13502270476169\n", + "\\item 5.52719501380298\n", + "\\item 7.00647081481206\n", + "\\item 9.33493115319036\n", + "\\item 2.52306446769195\n", + "\\item 6.5764865554024\n", + "\\item 2.41756101852753\n", + "\\item 4.72735957906681\n", + "\\item 7.85100812845516\n", + "\\item 5.77569221505078\n", + "\\item 7.00515559898598\n", + "\\item 3.25051374846321\n", + "\\item 5.09179107962835\n", + "\\item 5.76475451270954\n", + "\\item 4.36588345939211\n", + "\\item 9.21987480423847\n", + "\\item 1.87844136250597\n", + "\\item 6.03518349958949\n", + "\\item 4.79955610817934\n", + "\\item 7.14022494988971\n", + "\\item 7.15850311860438\n", + "\\item 6.25868361057864\n", + "\\item 4.19416618565054\n", + "\\item 5.00172324248809\n", + "\\item 5.17672006210958\n", + "\\item 1.76354656280377\n", + "\\item 4.57260596297579\n", + "\\item 3.89046659855719\n", + "\\item 4.32743906883138\n", + "\\item 4.27876378259525\n", + "\\item 5.32018063415128\n", + "\\item 4.80008217899582\n", + "\\item 5.65577484679599\n", + "\\item 4.74626098568173\n", + "\\item 6.67716536328452\n", + "\\item 3.77896576733603\n", + "\\item 1.26890725570196\n", + "\\item 5.10763883214485\n", + "\\item 3.93831850747514\n", + "\\item 7.48849490520092\n", + "\\item 4.9776874269334\n", + "\\item 8.41699954732009\n", + "\\item 5.47336566206669\n", + "\\item 3.34145422596577\n", + "\\item 2.48552330584171\n", + "\\item 5.8746678889885\n", + "\\item 9.07692160194136\n", + "\\item 4.56895138194045\n", + "\\item 3.06892093349693\n", + "\\item 3.96600488095637\n", + "\\item 4.66233912280062\n", + "\\item 5.74671650832867\n", + "\\item 3.60192784704757\n", + "\\item 4.50616059301896\n", + "\\item 2.37190836994564\n", + "\\item 5.11872819238965\n", + "\\item 7.46568384570506\n", + "\\item 4.48037270317786\n", + "\\item 4.78373888931157\n", + "\\item 5.19262256629057\n", + "\\item 1.55925115723769\n", + "\\item 5.065383921533\n", + "\\item 4.37837949226807\n", + "\\item 0.773396664154582\n", + "\\item 4.09662079329817\n", + "\\item 6.01151231763694\n", + "\\item 4.11938126982533\n", + "\\item 1.40342947316318\n", + "\\item 6.9470190756302\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 2.46881263582371\n", + "\\item 1.62045593449371\n", + "\\item 3.07803424538513\n", + "\\item 3.66161806363493\n", + "\\item 2.34377097700735\n", + "\\item 1.9969812866353\n", + "\\item 1.29820112474317\n", + "\\item 3.23813624714989\n", + "\\item 2.33997680124666\n", + "\\item 2.94720298508904\n", + "\\item 1.81240876062063\n", + "\\item 2.62312550772082\n", + "\\item 1.31759846559883\n", + "\\item 2.03915171327889\n", + "\\item 2.15700593490724\n", + "\\item 1.75262026791636\n", + "\\item 1.52688021410064\n", + "\\item 1.49382704699933\n", + "\\item 3.09948891343005\n", + "\\item 2.18558170551254\n", + "\\item 2.4977058922576\n", + "\\item 4.48632339348615\n", + "\\item 3.54879167613962\n", + "\\item 1.91918917596757\n", + "\\item 4.61612048948843\n", + "\\item 1.32685480495038\n", + "\\item 1.18464343137893\n", + "\\item 1.08745811916229\n", + "\\item 2.82670080514885\n", + "\\item 1.66398819993051\n", + "\\item 2.09431055198367\n", + "\\item 1.28620018867611\n", + "\\item 1.20101134832588\n", + "\\item 1.09292234924811\n", + "\\item 1.91648097731109\n", + "\\item 0.9961443837822\n", + "\\item 2.15476419846658\n", + "\\item 1.9710273267601\n", + "\\item 1.27971467661341\n", + "\\item 2.61898160734866\n", + "\\item 0.985808401451475\n", + "\\item 2.10240353678563\n", + "\\item 1.62603197577005\n", + "\\item 2.25809243218316\n", + "\\item 2.83995138656136\n", + "\\item 4.19536641079281\n", + "\\item 1.0889098905904\n", + "\\item 1.94501104752594\n", + "\\item 1.75732347243258\n", + "\\item 2.51278519396306\n", + "\\item 4.85860653762593\n", + "\\item 2.10629673955748\n", + "\\item 1.39355872948323\n", + "\\item 0.578597224901788\n", + "\\item 1.59147856674317\n", + "\\item 1.40514863543406\n", + "\\item 1.97039835678148\n", + "\\item 3.14196658482327\n", + "\\item 2.82663590546549\n", + "\\item 1.08467262450716\n", + "\\item 2.2660238430662\n", + "\\item 1.39650903160658\n", + "\\item 1.08583865602202\n", + "\\item 2.33180237817936\n", + "\\item 2.26077921524661\n", + "\\item 0.663959010876274\n", + "\\item 2.98769659897406\n", + "\\item 2.44754995476291\n", + "\\item 4.19724900910533\n", + "\\item 1.50556582011194\n", + "\\item 2.54802658746243\n", + "\\item 3.78544988245465\n", + "\\item 3.73442535629066\n", + "\\item 4.2068277013404\n", + "\\item 3.41966894208583\n", + "\\item 1.34611641344928\n", + "\\item 2.50443148222372\n", + "\\item 1.71325842601776\n", + "\\item 2.95417063977421\n", + "\\item 1.02514968134709\n", + "\\item 2.05391145088801\n", + "\\item 0.410738565792157\n", + "\\item 1.34446541997674\n", + "\\item 2.69983387449726\n", + "\\item 3.07090095891471\n", + "\\item 1.84317057169874\n", + "\\item 1.11977643313682\n", + "\\item 1.10034973991027\n", + "\\item 2.7034803013923\n", + "\\item 1.82968668888558\n", + "\\item 1.63160459606609\n", + "\\item 1.2234732526554\n", + "\\item 1.93996949498478\n", + "\\item 2.16949927233318\n", + "\\item 2.53629918805295\n", + "\\item 1.00169921466884\n", + "\\item 1.41066718913965\n", + "\\item 1.2467777773211\n", + "\\item 1.91837191765572\n", + "\\item 4.27534300809592\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 7.89699559416302\n", + "\\item 4.68395954667344\n", + "\\item 6.65287410165553\n", + "\\item 2.04299898265588\n", + "\\item 8.09750807752616\n", + "\\item 9.80584088915483\n", + "\\item 1.71425003049285\n", + "\\item 8.35662851500259\n", + "\\item 4.41221576256622\n", + "\\item 3.59858430815463\n", + "\\item 3.27877770520898\n", + "\\item 7.41604022683118\n", + "\\item 9.54357145783108\n", + "\\item 3.12990656797859\n", + "\\item 8.7426389448414\n", + "\\item 3.13739344701759\n", + "\\item 2.78994886118879\n", + "\\item 4.65790296687221\n", + "\\item 5.61048824015662\n", + "\\item 8.97593046335913\n", + "\\item 7.76789401652646\n", + "\\item 7.89915157546547\n", + "\\item 6.02965377275651\n", + "\\item 10.4046527951656\n", + "\\item 4.09615530544779\n", + "\\item 4.97520299970727\n", + "\\item 3.96613419861903\n", + "\\item 4.06146425836093\n", + "\\item 4.87968524685722\n", + "\\item 3.37573023491725\n", + "\\item 7.98023630785773\n", + "\\item 8.64273232513886\n", + "\\item 8.61460793724278\n", + "\\item 2.79251610297863\n", + "\\item 6.54256347747618\n", + "\\item 6.05463411538655\n", + "\\item 12.1108491503986\n", + "\\item 5.7414008014495\n", + "\\item 6.08667015429676\n", + "\\item 5.99597999188928\n", + "\\item 4.95233595863793\n", + "\\item 5.33400057947459\n", + "\\item 6.34372522427795\n", + "\\item 3.57969216995728\n", + "\\item 5.19489630733855\n", + "\\item 5.16596662917303\n", + "\\item 3.80315564407006\n", + "\\item 5.25665625413873\n", + "\\item 7.03133082490045\n", + "\\item 2.86041554763847\n", + "\\item 7.34128580284118\n", + "\\item 7.77280047815042\n", + "\\item 10.1014736862836\n", + "\\item 4.71923779020923\n", + "\\item 2.57882150267335\n", + "\\item 9.71592937461396\n", + "\\item 2.72821268176856\n", + "\\item 3.92219598469121\n", + "\\item 2.85040081890355\n", + "\\item 7.6176944668688\n", + "\\item 2.51934923713099\n", + "\\item 2.3267044136411\n", + "\\item 1.50296958187043\n", + "\\item 3.31230950211675\n", + "\\item 5.04191052672004\n", + "\\item 5.26534094078411\n", + "\\item 6.47366262429283\n", + "\\item 3.13512415133631\n", + "\\item 5.85430320324887\n", + "\\item 2.57086195169796\n", + "\\item 2.81462672021933\n", + "\\item 3.94539420957925\n", + "\\item 2.1599923125528\n", + "\\item 5.78369242852044\n", + "\\item 8.01566153973415\n", + "\\item 4.1748778065736\n", + "\\item 10.7723701650718\n", + "\\item 4.14946972078289\n", + "\\item 2.85827604300393\n", + "\\item 10.3357955385195\n", + "\\item 7.63219594682533\n", + "\\item 4.13464669133251\n", + "\\item 5.4175678104819\n", + "\\item 6.2712912162927\n", + "\\item 6.46007885086434\n", + "\\item 6.24088441335777\n", + "\\item 8.36839832412217\n", + "\\item 5.12879069661752\n", + "\\item 5.39692307949711\n", + "\\item 6.03714014403036\n", + "\\item 6.90111985216978\n", + "\\item 9.50380375639404\n", + "\\item 8.42702502453998\n", + "\\item 8.67997427347452\n", + "\\item 5.7464408562307\n", + "\\item 7.30838312038969\n", + "\\item 6.30551589726237\n", + "\\item 9.73621684579676\n", + "\\item 5.08860387030402\n", + "\\item 2.51861631871738\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 2.43612878135974\n", + "\\item 6.07362959886118\n", + "\\item 1.360046067605\n", + "\\item 10.5796755283492\n", + "\\item 1.13336020914273\n", + "\\item 7.49796641541137\n", + "\\item 6.50554352619108\n", + "\\item 5.82433166090707\n", + "\\item 1.48333268849059\n", + "\\item 7.52664935421223\n", + "\\item 4.9012774232613\n", + "\\item 2.36067335716678\n", + "\\item 10.2854312260501\n", + "\\item 7.73933284923138\n", + "\\item 4.63007049670338\n", + "\\item 1.27589524912527\n", + "\\item 4.52907001761736\n", + "\\item 7.17290425109427\n", + "\\item 2.01186467707911\n", + "\\item 4.4646272585838\n", + "\\item 4.012794783715\n", + "\\item 7.08982320252272\n", + "\\item 5.19155785519804\n", + "\\item 0.958643752414536\n", + "\\item 1.55964399612344\n", + "\\item 5.45832786659785\n", + "\\item 2.03101073233882\n", + "\\item 2.38095888631034\n", + "\\item 1.49675633738755\n", + "\\item 3.00469817685559\n", + "\\item 1.84100698258067\n", + "\\item 1.81219228159821\n", + "\\item 1.80775669609212\n", + "\\item 1.45593865040725\n", + "\\item 5.4077290498236\n", + "\\item 1.70717518890618\n", + "\\item 4.47779253473646\n", + "\\item 2.61139918170258\n", + "\\item 1.94394506102671\n", + "\\item 3.89642470722186\n", + "\\item 5.47800604699886\n", + "\\item 4.17888800635575\n", + "\\item 7.96991103833819\n", + "\\item 5.65942731756889\n", + "\\item 0.810619553909963\n", + "\\item 1.13318367969802\n", + "\\item 4.19578073201973\n", + "\\item 3.33677926000001\n", + "\\item 2.9158432443967\n", + "\\item 2.26974132621337\n", + "\\item 1.65781986699242\n", + "\\item 8.79202776328884\n", + "\\item 3.64214406180967\n", + "\\item 1.27254344208986\n", + "\\item 1.54939399436619\n", + "\\item 1.60030945459872\n", + "\\item 2.25372856616899\n", + "\\item 3.70424681577375\n", + "\\item 3.43634299403504\n", + "\\item 5.51050100583159\n", + "\\item 5.82338244654677\n", + "\\item 5.24238481233736\n", + "\\item 1.17418466645926\n", + "\\item 1.37464702519044\n", + "\\item 4.67296386714887\n", + "\\item 2.32412144149001\n", + "\\item 1.56201493078073\n", + "\\item 1.85714285030308\n", + "\\item 3.51636117639212\n", + "\\item 3.98781110782867\n", + "\\item 4.68183418250373\n", + "\\item 1.4091694861422\n", + "\\item 3.34162633011596\n", + "\\item 3.99510973160405\n", + "\\item 1.41409827598693\n", + "\\item 4.28090288704906\n", + "\\item 1.62440480572047\n", + "\\item 4.24754056691945\n", + "\\item 4.68866211298387\n", + "\\item 1.58587023742159\n", + "\\item 2.11376089634905\n", + "\\item 1.64845097006007\n", + "\\item 3.99489763151752\n", + "\\item 7.07799666504646\n", + "\\item 5.59088649454209\n", + "\\item 5.72570205337152\n", + "\\item 4.5005401826691\n", + "\\item 8.51305196442407\n", + "\\item 9.55165091993096\n", + "\\item 2.48431731992381\n", + "\\item 1.24419157065411\n", + "\\item 1.9452474403323\n", + "\\item 1.37965285150518\n", + "\\item 1.42326241299738\n", + "\\item 2.87557145800728\n", + "\\item 0.616470891160539\n", + "\\item 6.42980173460997\n", + "\\item 6.89047069194964\n", + "\\item 7.35667478681183\n", + "\\item 1.41261514562113\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 3.5426822459132\n", + "\\item 2.66901878498618\n", + "\\item 5.23240557245619\n", + "\\item 4.39755065574929\n", + "\\item 5.73962187688085\n", + "\\item 2.00428304986165\n", + "\\item 5.82280635954069\n", + "\\item 1.09432877927376\n", + "\\item 1.93325856037914\n", + "\\item 3.44248441429404\n", + "\\item 1.18300882143023\n", + "\\item 7.6768742751777\n", + "\\item 1.62946794844498\n", + "\\item 5.02158938541742\n", + "\\item 5.82440801994598\n", + "\\item 6.53692066345059\n", + "\\item 7.17828383511864\n", + "\\item 9.20773752687486\n", + "\\item 5.60360314254789\n", + "\\item 4.46504792392164\n", + "\\item 3.80156908156978\n", + "\\item 3.11648618159439\n", + "\\item 6.22012699214572\n", + "\\item 6.27113579373544\n", + "\\item 5.96018923647541\n", + "\\item 3.38817325214417\n", + "\\item 3.52329273612195\n", + "\\item 4.07735555671697\n", + "\\item 2.13131627855246\n", + "\\item 1.52917135132675\n", + "\\item 3.25165672451519\n", + "\\item 1.94265982925619\n", + "\\item 6.1929953040482\n", + "\\item 0.844548821279425\n", + "\\item 1.20073925019773\n", + "\\item 1.49372518151107\n", + "\\item 5.0379400432471\n", + "\\item 7.57750851251191\n", + "\\item 0.67051099106999\n", + "\\item 4.67081358456883\n", + "\\item 4.85164488450921\n", + "\\item 7.07003862070598\n", + "\\item 3.52913317285759\n", + "\\item 4.83108660515176\n", + "\\item 1.21569093691028\n", + "\\item 2.94764969411288\n", + "\\item 2.82275186802991\n", + "\\item 4.78823943625352\n", + "\\item 7.49319630839299\n", + "\\item 4.07602027352523\n", + "\\item 2.21782525493205\n", + "\\item 1.45269120782839\n", + "\\item 5.87984954331006\n", + "\\item 1.57709729038529\n", + "\\item 2.26789092388737\n", + "\\item 3.63167644646296\n", + "\\item 1.54570590918905\n", + "\\item 0.984163141253271\n", + "\\item 5.13143943052228\n", + "\\item 3.69612931535903\n", + "\\item 5.83160722560897\n", + "\\item 5.86918118423875\n", + "\\item 6.04748411265008\n", + "\\item 0.844873241775342\n", + "\\item 3.29243851102629\n", + "\\item 6.02960500283208\n", + "\\item 3.63567013402971\n", + "\\item 4.69863662375148\n", + "\\item 3.90950001537146\n", + "\\item 2.79383606725065\n", + "\\item 4.41620591938178\n", + "\\item 6.61346220379397\n", + "\\item 2.57718681918311\n", + "\\item 2.03984111612769\n", + "\\item 1.91855352227911\n", + "\\item 2.28961647036368\n", + "\\item 6.41112760121212\n", + "\\item 5.63938119705647\n", + "\\item 3.4166739484578\n", + "\\item 5.95928555338082\n", + "\\item 4.39891239325763\n", + "\\item 2.18379049967898\n", + "\\item 6.52117248890045\n", + "\\item 7.58355707770084\n", + "\\item 1.21877387686922\n", + "\\item 5.56833119661363\n", + "\\item 5.81361378350391\n", + "\\item 7.21373005359256\n", + "\\item 4.17913897598799\n", + "\\item 8.56089647072974\n", + "\\item 4.69931915331131\n", + "\\item 2.65090267073696\n", + "\\item 2.08335547908837\n", + "\\item 1.12541400699435\n", + "\\item 4.72527890414171\n", + "\\item 8.59937503630618\n", + "\\item 0.837724716152941\n", + "\\item 5.45192920435794\n", + "\\item 3.58969096093313\n", + "\\item 4.43847810941759\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 5.59238581395269\n", + "\\item 4.95762344067704\n", + "\\item 5.39651136274669\n", + "\\item 6.54540077607841\n", + "\\item 5.07964455660217\n", + "\\item 2.7263494705165\n", + "\\item 5.15471907946577\n", + "\\item 4.68922360419521\n", + "\\item 4.1871853439641\n", + "\\item 4.42657733519014\n", + "\\item 2.15996652626566\n", + "\\item 3.01857744014504\n", + "\\item 6.42549536326369\n", + "\\item 3.34979136772516\n", + "\\item 4.31930680735519\n", + "\\item 0.87409434784394\n", + "\\item 4.22498563548063\n", + "\\item 1.58370405826312\n", + "\\item 3.54189765208421\n", + "\\item 6.34297383580229\n", + "\\item 5.36186733318536\n", + "\\item 3.53432392714112\n", + "\\item 2.0547201506119\n", + "\\item 5.02814446699778\n", + "\\item 4.7263152527119\n", + "\\item 3.5397209954975\n", + "\\item 3.83978740987897\n", + "\\item 1.4648701387182\n", + "\\item 6.04373901933653\n", + "\\item 6.35381075937553\n", + "\\item 5.36821210656741\n", + "\\item 3.59366806972101\n", + "\\item 6.90361642361306\n", + "\\item 7.39393378515997\n", + "\\item 6.81570545588684\n", + "\\item 2.56505150126935\n", + "\\item 2.11461332391356\n", + "\\item 4.21084882845642\n", + "\\item 6.50928314009967\n", + "\\item 2.44670935487316\n", + "\\item 4.53332115745791\n", + "\\item 4.74895099270896\n", + "\\item 4.74718062755672\n", + "\\item 8.43521920102059\n", + "\\item 3.34702879688117\n", + "\\item 2.52011020194734\n", + "\\item 3.98379455821928\n", + "\\item 6.44802388782584\n", + "\\item 2.3498544896711\n", + "\\item 5.31012588483278\n", + "\\item 2.99129169936551\n", + "\\item 3.57779056713163\n", + "\\item 4.48015113375012\n", + "\\item 2.53978118279924\n", + "\\item 3.88642351173452\n", + "\\item 5.36288010456439\n", + "\\item 3.13704984215105\n", + "\\item 6.87224326650738\n", + "\\item 5.55869608543549\n", + "\\item 6.72823807275273\n", + "\\item 10.1356864600169\n", + "\\item 5.40629102520077\n", + "\\item 4.53693052383191\n", + "\\item 4.96618944416311\n", + "\\item 5.70118664448538\n", + "\\item 8.17418543258219\n", + "\\item 3.21201331403394\n", + "\\item 2.98472526192013\n", + "\\item 3.87408084225225\n", + "\\item 3.97349655793122\n", + "\\item 5.84659413866734\n", + "\\item 7.55286653191689\n", + "\\item 6.51560247896661\n", + "\\item 5.53560806758574\n", + "\\item 2.1566794237375\n", + "\\item 3.6894452754455\n", + "\\item 6.70350142309828\n", + "\\item 3.51788802486793\n", + "\\item 3.35491423040809\n", + "\\item 6.09030144690522\n", + "\\item 3.94332024685118\n", + "\\item 7.28207112456985\n", + "\\item 5.64041481073569\n", + "\\item 2.19626537979476\n", + "\\item 4.40471501831474\n", + "\\item 4.41266944237801\n", + "\\item 3.37047740147183\n", + "\\item 2.09419984776335\n", + "\\item 7.80780886533113\n", + "\\item 2.80287518624844\n", + "\\item 5.4937813792502\n", + "\\item 8.80849050715007\n", + "\\item 4.80156900146743\n", + "\\item 1.79008649161711\n", + "\\item 3.95233685265149\n", + "\\item 3.56101558312501\n", + "\\item 6.16614267163439\n", + "\\item 7.55643935460142\n", + "\\item 8.19991299266978\n", + "\\item 4.27714889140496\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 7.44095773386623\n", + "\\item 4.02819923185013\n", + "\\item 7.34272910404246\n", + "\\item 2.86970713413269\n", + "\\item 2.33014838207987\n", + "\\item 4.33268091809416\n", + "\\item 4.1779954511883\n", + "\\item 2.95605241122738\n", + "\\item 2.4528276717832\n", + "\\item 2.3852943165309\n", + "\\item 3.12958108969456\n", + "\\item 5.07066127093225\n", + "\\item 3.62128340378816\n", + "\\item 5.70145976024633\n", + "\\item 7.5584882013737\n", + "\\item 7.81190828348399\n", + "\\item 4.05951780786895\n", + "\\item 2.67080500878852\n", + "\\item 6.73325942745172\n", + "\\item 3.41568756762366\n", + "\\item 6.97828977087017\n", + "\\item 5.8584942275631\n", + "\\item 6.51952044133225\n", + "\\item 1.24850073313581\n", + "\\item 4.84962676284979\n", + "\\item 3.70074903894309\n", + "\\item 2.69690033130036\n", + "\\item 3.17647637842022\n", + "\\item 2.82047638833039\n", + "\\item 2.62826241232593\n", + "\\item 0.595717449084298\n", + "\\item 1.56730440493694\n", + "\\item 5.92555376402564\n", + "\\item 6.96417441014413\n", + "\\item 5.10234480611559\n", + "\\item 4.45294329317767\n", + "\\item 3.19585005671036\n", + "\\item 1.52998737698732\n", + "\\item 3.23146025572221\n", + "\\item 2.02191171717837\n", + "\\item 2.51429259940883\n", + "\\item 0.293077821490998\n", + "\\item 5.31398405090636\n", + "\\item 2.93265891120343\n", + "\\item 2.55143812304583\n", + "\\item 4.38613432556583\n", + "\\item 3.89397929919374\n", + "\\item 1.30410215811107\n", + "\\item 3.88057798654455\n", + "\\item 5.11356743428252\n", + "\\item 4.21902799189738\n", + "\\item 3.95704359313062\n", + "\\item 4.24008915854542\n", + "\\item 5.41544096292959\n", + "\\item 2.21389385835095\n", + "\\item 4.18668691316771\n", + "\\item 3.87631011681407\n", + "\\item 1.25190194163622\n", + "\\item 4.01569464659865\n", + "\\item 5.38604671849805\n", + "\\item 5.68779810673725\n", + "\\item 3.90198344832747\n", + "\\item 3.8348148287562\n", + "\\item 5.63232511708494\n", + "\\item 3.80333856378584\n", + "\\item 2.3027591993173\n", + "\\item 1.47107925631663\n", + "\\item 4.78532996514581\n", + "\\item 2.41667160099296\n", + "\\item 2.33325678570947\n", + "\\item 8.01123485409606\n", + "\\item 4.53679676930688\n", + "\\item 2.04975490209536\n", + "\\item 4.23574633586396\n", + "\\item 5.67935269484284\n", + "\\item 5.19767889042802\n", + "\\item 5.05040846008869\n", + "\\item 5.45658334664841\n", + "\\item 2.60001725941494\n", + "\\item 2.72331220343734\n", + "\\item 0.82149996279495\n", + "\\item 5.80380309082271\n", + "\\item 2.39072149995685\n", + "\\item 3.93120794434713\n", + "\\item 8.33634001160927\n", + "\\item 3.61706871503452\n", + "\\item 4.85922300413897\n", + "\\item 2.61385149080421\n", + "\\item 2.34677819451503\n", + "\\item 3.84217623041349\n", + "\\item 1.17511075640657\n", + "\\item 7.61091109905541\n", + "\\item 2.19852027330648\n", + "\\item 7.12143249493088\n", + "\\item 5.70297325141242\n", + "\\item 6.12162703144177\n", + "\\item 1.78468906905844\n", + "\\item 2.76225874219131\n", + "\\item 6.47820885688673\n", + "\\item 3.46479865548123\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 0.930738898258357\n", + "\\item 3.2433975377791\n", + "\\item 7.24220457697022\n", + "\\item 1.84780805450963\n", + "\\item 1.34447433486919\n", + "\\item 0.885932680309866\n", + "\\item 2.33635462393175\n", + "\\item 6.94769843564486\n", + "\\item 1.76607459778904\n", + "\\item 1.19391230222872\n", + "\\item 7.91310239086348\n", + "\\item 2.4458116348135\n", + "\\item 6.75077552455352\n", + "\\item 5.15437765556729\n", + "\\item 5.48479968260597\n", + "\\item 3.05254270146948\n", + "\\item 6.61978183253893\n", + "\\item 1.55175901314618\n", + "\\item 2.25623721560493\n", + "\\item 1.66279169879684\n", + "\\item 2.79735768590438\n", + "\\item 3.28951441974101\n", + "\\item 0.501589024566103\n", + "\\item 4.21274765754139\n", + "\\item 6.53074348626762\n", + "\\item 0.828237338159343\n", + "\\item 1.47434540507334\n", + "\\item 4.06846053538211\n", + "\\item 3.36035446032604\n", + "\\item 4.9239021780587\n", + "\\item 2.18211559516982\n", + "\\item 5.3677948826089\n", + "\\item 5.02734425092085\n", + "\\item 3.47618410688182\n", + "\\item 2.9143012026582\n", + "\\item 0.994438106922462\n", + "\\item 0.476427456708431\n", + "\\item 5.69426418075064\n", + "\\item 3.97651223343692\n", + "\\item 5.685230737857\n", + "\\item 3.19623734470051\n", + "\\item 2.88713785225644\n", + "\\item 4.08150038870887\n", + "\\item 3.77034490811139\n", + "\\item 1.7216668550313\n", + "\\item 3.22923838411976\n", + "\\item 6.74786346169544\n", + "\\item 6.58915563082056\n", + "\\item 1.6557581625161\n", + "\\item 1.18903032903317\n", + "\\item 4.55265237166142\n", + "\\item 1.7568708005666\n", + "\\item 4.79231520266477\n", + "\\item 2.26508172931761\n", + "\\item 3.18869158277387\n", + "\\item 4.08592096266244\n", + "\\item 3.45765990418934\n", + "\\item 1.45609584110016\n", + "\\item 5.07033857247559\n", + "\\item 3.09776445104344\n", + "\\item 1.65924580799284\n", + "\\item 3.55962722796987\n", + "\\item 1.58986345209628\n", + "\\item 6.2016799402712\n", + "\\item 5.71236035255276\n", + "\\item 6.63899649997157\n", + "\\item 5.72859146781595\n", + "\\item 3.26532793407356\n", + "\\item 2.86991166964464\n", + "\\item 4.33340938630841\n", + "\\item 1.09361246385562\n", + "\\item 4.27107334602945\n", + "\\item 7.18627736780844\n", + "\\item 6.7712720109207\n", + "\\item 9.24238034852889\n", + "\\item 6.31908440462965\n", + "\\item 4.58089581874688\n", + "\\item 5.45237798906043\n", + "\\item 2.12010254201737\n", + "\\item 6.30424627467917\n", + "\\item 1.23834435950059\n", + "\\item 2.37761663135077\n", + "\\item 4.93492657576085\n", + "\\item 6.64792206957082\n", + "\\item 5.81977566940399\n", + "\\item 5.12951922471737\n", + "\\item 3.04123454668069\n", + "\\item 2.12952708129968\n", + "\\item 3.98455373566038\n", + "\\item 0.93989950723951\n", + "\\item 6.78273442908274\n", + "\\item 6.19059945003715\n", + "\\item 7.1577855252166\n", + "\\item 9.51966942029304\n", + "\\item 4.3784458629495\n", + "\\item 6.12946343504772\n", + "\\item 4.53774263700901\n", + "\\item 5.65705143707726\n", + "\\item 0.524605374868438\n", + "\\item 6.67052098098331\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 1.36935630048601\n", + "\\item 5.81257000279093\n", + "\\item 1.55902097700572\n", + "\\item 2.25518281813466\n", + "\\item 1.92716161715237\n", + "\\item 0.694120430453014\n", + "\\item 2.52224929669016\n", + "\\item 2.47545717254836\n", + "\\item 2.41679012777736\n", + "\\item 1.99242860636709\n", + "\\item 1.14378475132167\n", + "\\item 1.69568704421104\n", + "\\item 1.18783482154324\n", + "\\item 1.33387572314833\n", + "\\item 5.38778704498177\n", + "\\item 1.02746123437574\n", + "\\item 0.358449420927588\n", + "\\item 1.15953267879204\n", + "\\item 1.15973635767962\n", + "\\item 5.18330559542177\n", + "\\item 1.99235449057557\n", + "\\item 6.3891175999386\n", + "\\item 2.09022301066575\n", + "\\item 1.09835791267384\n", + "\\item 3.27869602837533\n", + "\\item 5.97620347249841\n", + "\\item 1.75695204852893\n", + "\\item 1.51953993367251\n", + "\\item 1.11416073027477\n", + "\\item 4.61938395214211\n", + "\\item 5.03774678595264\n", + "\\item 6.42872290839714\n", + "\\item 1.42766804404933\n", + "\\item 1.27487044294354\n", + "\\item 1.69529049126223\n", + "\\item 4.71985713606437\n", + "\\item 2.25699837705515\n", + "\\item 1.40504452835886\n", + "\\item 2.3189129298383\n", + "\\item 1.73291461990831\n", + "\\item 3.93949971259878\n", + "\\item 0.873825874618789\n", + "\\item 2.94323303578502\n", + "\\item 1.10092379087267\n", + "\\item 1.91808480646201\n", + "\\item 1.62075880898275\n", + "\\item 1.61621985425074\n", + "\\item 5.81944153084916\n", + "\\item 1.03192637979294\n", + "\\item 1.62763851378949\n", + "\\item 2.30576851811106\n", + "\\item 1.47287780689834\n", + "\\item 1.65810026364624\n", + "\\item 2.49120351341839\n", + "\\item 2.01153034557113\n", + "\\item 2.36932772619367\n", + "\\item 1.08182945356428\n", + "\\item 0.564675218933219\n", + "\\item 1.77732159329395\n", + "\\item 6.9467108000452\n", + "\\item 1.39460418512104\n", + "\\item 2.74055914973983\n", + "\\item 2.20221588284532\n", + "\\item 1.20056774938037\n", + "\\item 2.11609782203989\n", + "\\item 4.43171944988742\n", + "\\item 0.910331197946161\n", + "\\item 0.80592506238396\n", + "\\item 1.8630430728521\n", + "\\item 1.48185646694941\n", + "\\item 2.06350036557551\n", + "\\item 4.33915104755605\n", + "\\item 2.10463703418971\n", + "\\item 2.69281432215838\n", + "\\item 2.08005763927583\n", + "\\item 2.23837623579525\n", + "\\item 2.43987684032253\n", + "\\item 1.94932486783576\n", + "\\item 1.74501752671726\n", + "\\item 1.63634667435009\n", + "\\item 2.07306115647482\n", + "\\item 2.40219746979433\n", + "\\item 4.1408157751979\n", + "\\item 1.29392398915225\n", + "\\item 1.31310577249486\n", + "\\item 0.684451318459457\n", + "\\item 3.92926816331437\n", + "\\item 1.68273644902843\n", + "\\item 1.23572284700703\n", + "\\item 2.79510998871019\n", + "\\item 1.09707708454657\n", + "\\item 4.5841748284828\n", + "\\item 1.72564230061012\n", + "\\item 1.43166263898103\n", + "\\item 2.41410062886086\n", + "\\item 1.20022975527942\n", + "\\item 1.69203589067324\n", + "\\item 0.906649094764396\n", + "\\item 1.75122642582371\n", + "\\item 1.10848271205845\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 4.31269698763339\n", + "\\item 5.79082639128553\n", + "\\item 3.42865994439721\n", + "\\item 3.31652612195601\n", + "\\item 5.65138418761925\n", + "\\item 3.09480287851807\n", + "\\item 3.12558418333443\n", + "\\item 4.26324599927777\n", + "\\item 1.66009080717875\n", + "\\item 6.58393215586555\n", + "\\item 4.90771655243069\n", + "\\item 5.55793090500157\n", + "\\item 4.41085318035851\n", + "\\item 1.77457223335479\n", + "\\item 4.76483288869677\n", + "\\item 9.63675631211084\n", + "\\item 5.07485518285122\n", + "\\item 3.33393765039675\n", + "\\item 6.78546087498777\n", + "\\item 2.61075263587591\n", + "\\item 6.24788186854681\n", + "\\item 6.45824287958662\n", + "\\item 3.70716246583566\n", + "\\item 1.1457054061967\n", + "\\item 3.28734897666298\n", + "\\item 5.88165907153982\n", + "\\item 2.83332344924318\n", + "\\item 4.66894698595255\n", + "\\item 10.3793623843842\n", + "\\item 7.17755690685762\n", + "\\item 5.33207312722953\n", + "\\item 6.14866906965619\n", + "\\item 6.15654008604517\n", + "\\item 2.64801007907164\n", + "\\item 4.28148218151422\n", + "\\item 3.30934345312048\n", + "\\item 2.42828003815616\n", + "\\item 2.70527122490949\n", + "\\item 8.11335824726509\n", + "\\item 4.07816916145709\n", + "\\item 3.9582650004367\n", + "\\item 7.29256265281373\n", + "\\item 6.0126158673513\n", + "\\item 5.34756819745144\n", + "\\item 7.62309381610875\n", + "\\item 1.76991378714366\n", + "\\item 6.60962486281852\n", + "\\item 5.65299441576265\n", + "\\item 2.53054602981053\n", + "\\item 7.9586679360199\n", + "\\item 5.02307922546817\n", + "\\item 5.7702803089665\n", + "\\item 7.58537475156506\n", + "\\item 7.83802909142735\n", + "\\item 3.22459748297287\n", + "\\item 1.32076988950308\n", + "\\item 3.97756631846229\n", + "\\item 5.47219153602593\n", + "\\item 4.10656324119299\n", + "\\item 3.40632836999244\n", + "\\item 4.16539625653642\n", + "\\item 1.56006510465245\n", + "\\item 6.93068726746959\n", + "\\item 6.75954006967237\n", + "\\item 1.53052890491136\n", + "\\item 8.37096246122549\n", + "\\item 4.66691765753917\n", + "\\item 3.99969383389674\n", + "\\item 6.97103258096688\n", + "\\item 5.12860522751825\n", + "\\item 4.55756592656916\n", + "\\item 4.05020861331607\n", + "\\item 1.60311378389376\n", + "\\item 5.53331939696807\n", + "\\item 8.1774950379169\n", + "\\item 1.21495427657822\n", + "\\item 4.66229584587891\n", + "\\item 6.24118087435098\n", + "\\item 0.286300126046664\n", + "\\item 7.44269727702937\n", + "\\item 3.90559045844877\n", + "\\item 3.95315581225812\n", + "\\item 6.20468450006269\n", + "\\item 7.43329140900877\n", + "\\item 1.18091491165072\n", + "\\item 2.5079967149884\n", + "\\item 7.48177923509528\n", + "\\item 2.82807192577053\n", + "\\item 6.4684713293284\n", + "\\item 6.46046574876049\n", + "\\item 5.7056400405327\n", + "\\item 3.59867490633338\n", + "\\item 4.25698581202871\n", + "\\item 5.28235468732291\n", + "\\item 5.91109926621384\n", + "\\item 2.47105611922735\n", + "\\item 2.57025690473087\n", + "\\item 6.84121549056777\n", + "\\item 3.49162710316912\n", + "\\item 5.00375452471007\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 5.09975424925507\n", + "\\item 1.49574712764836\n", + "\\item 1.87892233974956\n", + "\\item 10.091454961653\n", + "\\item 2.8500382898867\n", + "\\item 5.06633749135086\n", + "\\item 1.75961564241278\n", + "\\item 7.78959780516868\n", + "\\item 10.2443631225124\n", + "\\item 8.10300985150828\n", + "\\item 5.47399966159981\n", + "\\item 5.16431690315203\n", + "\\item 2.54576403623693\n", + "\\item 2.58570953992799\n", + "\\item 1.73697801748584\n", + "\\item 1.49844875398732\n", + "\\item 2.09716262581672\n", + "\\item 7.20562392539939\n", + "\\item 5.2704613010153\n", + "\\item 3.89764222163771\n", + "\\item 1.73904923200128\n", + "\\item 3.15607218232549\n", + "\\item 5.30067513698677\n", + "\\item 0.823656482979951\n", + "\\item 15.7366806129608\n", + "\\item 8.64507158944865\n", + "\\item 9.25836488809376\n", + "\\item 5.63229756516471\n", + "\\item 1.1091613536838\n", + "\\item 1.38229514357889\n", + "\\item 8.79230170208104\n", + "\\item 2.05597396419445\n", + "\\item 3.67096003692172\n", + "\\item 1.14033343427247\n", + "\\item 4.49032998690687\n", + "\\item 2.06920928587788\n", + "\\item 4.30593201396935\n", + "\\item 6.67685047249191\n", + "\\item 5.2222935287031\n", + "\\item 7.60888326890402\n", + "\\item 5.48668931815127\n", + "\\item 5.27995692865623\n", + "\\item 2.32406986045519\n", + "\\item 5.15450502925228\n", + "\\item 1.56943060171146\n", + "\\item 8.27336296226954\n", + "\\item 9.54920277197644\n", + "\\item 2.86503610452292\n", + "\\item 1.67704677865279\n", + "\\item 3.49362343667635\n", + "\\item 7.09720076204039\n", + "\\item 5.3928192387313\n", + "\\item 5.24441967255039\n", + "\\item 5.30391985323496\n", + "\\item 6.85471095072875\n", + "\\item 7.53706428645805\n", + "\\item 5.73652658277665\n", + "\\item 8.2830263256545\n", + "\\item 3.58156601310415\n", + "\\item 5.4314200087942\n", + "\\item 2.9073446137719\n", + "\\item 1.37065789865226\n", + "\\item 7.51489233486372\n", + "\\item 5.0634011965281\n", + "\\item 4.88468796753487\n", + "\\item 1.57880174990432\n", + "\\item 1.83295745965782\n", + "\\item 8.31145807648962\n", + "\\item 1.02990511326812\n", + "\\item 3.8855551381064\n", + "\\item 6.55544437931693\n", + "\\item 6.37486493894137\n", + "\\item 4.12197909404295\n", + "\\item 3.93543610981555\n", + "\\item 7.90356672404216\n", + "\\item 2.54578048248853\n", + "\\item 3.7911019654531\n", + "\\item 2.12319747503979\n", + "\\item 5.47230971976809\n", + "\\item 1.29055275035669\n", + "\\item 6.46953365375178\n", + "\\item 1.4539540468129\n", + "\\item 1.11856665789337\n", + "\\item 1.97418862889619\n", + "\\item 8.05267340013559\n", + "\\item 1.84155394416783\n", + "\\item 4.7785476258785\n", + "\\item 6.35794097713486\n", + "\\item 8.86253843016212\n", + "\\item 4.20498646039937\n", + "\\item 1.29821585167007\n", + "\\item 7.54934825993591\n", + "\\item 2.81617876018861\n", + "\\item 3.75543066431076\n", + "\\item 10.9712156352117\n", + "\\item 4.55834838944757\n", + "\\item 5.66231695898668\n", + "\\item 2.52903940804828\n", + "\\item 6.36379317312452\n", + "\\item 5.91529882186132\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 4.05246330403149\n", + "\\item 4.03297092766226\n", + "\\item 2.24431749179498\n", + "\\item 2.08831705636754\n", + "\\item 5.38010048328772\n", + "\\item 4.44697427947945\n", + "\\item 2.81926432793074\n", + "\\item 2.32217728897418\n", + "\\item 2.9714495988627\n", + "\\item 3.64274253669898\n", + "\\item 3.12302292970696\n", + "\\item 5.08304543120865\n", + "\\item 5.82121107415655\n", + "\\item 1.27122203666334\n", + "\\item 2.55018864595367\n", + "\\item 3.71177344008819\n", + "\\item 3.45015198164821\n", + "\\item 1.55870559837542\n", + "\\item 2.68046338974918\n", + "\\item 4.15263515865713\n", + "\\item 2.60202364911486\n", + "\\item 3.84657933660824\n", + "\\item 1.47353700019142\n", + "\\item 1.36308090359988\n", + "\\item 1.90197355289211\n", + "\\item 2.28405953424035\n", + "\\item 3.13529649413707\n", + "\\item 4.50786687903087\n", + "\\item 4.93095189127432\n", + "\\item 1.06663421849821\n", + "\\item 5.9354645818607\n", + "\\item 3.68549146415429\n", + "\\item 1.48052905224188\n", + "\\item 2.96793512401299\n", + "\\item 1.53143017927314\n", + "\\item 2.70255990549846\n", + "\\item 4.70192306921621\n", + "\\item 7.6036555288535\n", + "\\item 2.91084373222738\n", + "\\item 4.89692617451716\n", + "\\item 2.10519364329199\n", + "\\item 2.28424076158317\n", + "\\item 3.03147052872805\n", + "\\item 4.23065839744792\n", + "\\item 2.01065941143568\n", + "\\item 2.1743248982635\n", + "\\item 2.28444951391207\n", + "\\item 4.99286408029358\n", + "\\item 1.69652670587319\n", + "\\item 5.75318104926906\n", + "\\item 6.34313791482137\n", + "\\item 1.11216424422099\n", + "\\item 4.0277455296253\n", + "\\item 3.90450196638847\n", + "\\item 1.05597662234191\n", + "\\item 0.778008853319303\n", + "\\item 2.1746315947007\n", + "\\item 0.933403621505054\n", + "\\item 3.03626024900723\n", + "\\item 3.94086352639448\n", + "\\item 2.62334435285834\n", + "\\item 1.79350764776533\n", + "\\item 5.99737250077394\n", + "\\item 1.08645096395408\n", + "\\item 0.888446022885114\n", + "\\item 2.49521051085173\n", + "\\item 1.56215836356751\n", + "\\item 1.04378951433977\n", + "\\item 1.05342554789381\n", + "\\item 1.82904059846848\n", + "\\item 2.90278859870971\n", + "\\item 3.18515469906608\n", + "\\item 2.33516789490715\n", + "\\item 2.74430610320835\n", + "\\item 1.40354976501997\n", + "\\item 3.20182056883295\n", + "\\item 3.03717229380315\n", + "\\item 0.538079697139134\n", + "\\item 8.42003162410223\n", + "\\item 0.74725247477694\n", + "\\item 4.49105513632599\n", + "\\item 4.02912000762536\n", + "\\item 3.18059404646333\n", + "\\item 2.96066991655154\n", + "\\item 4.26590481370169\n", + "\\item 1.41793063499004\n", + "\\item 3.29653151942353\n", + "\\item 2.05393043844437\n", + "\\item 6.38945640282467\n", + "\\item 2.49631332954846\n", + "\\item 4.72350400085341\n", + "\\item 2.41204759265629\n", + "\\item 4.58572071150402\n", + "\\item 2.98998394221977\n", + "\\item 2.67342362642622\n", + "\\item 3.00916301454469\n", + "\\item 2.84068856184091\n", + "\\item 3.80225815271691\n", + "\\item 1.16673580362822\n", + "\\item 4.48969103408334\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 2.48515189953311\n", + "\\item 5.99139538193423\n", + "\\item 3.37351315019302\n", + "\\item 6.79486137548439\n", + "\\item 3.12613701245819\n", + "\\item 1.44491891661342\n", + "\\item 4.97617748793624\n", + "\\item 3.95659478265292\n", + "\\item 5.57364803875334\n", + "\\item 1.83645669621122\n", + "\\item 3.57479959464957\n", + "\\item 1.69315319296127\n", + "\\item 6.10413250374863\n", + "\\item 4.78027056924771\n", + "\\item 3.85330156945057\n", + "\\item 3.084664733527\n", + "\\item 2.44590189736674\n", + "\\item 3.08129133767895\n", + "\\item 1.10134442996188\n", + "\\item 2.71490378593381\n", + "\\item 2.93355153938165\n", + "\\item 4.30169955004761\n", + "\\item 1.59780610051836\n", + "\\item 1.85967160475354\n", + "\\item 1.93813521086761\n", + "\\item 2.6386167020568\n", + "\\item 3.00890529934959\n", + "\\item 0.657749005779735\n", + "\\item 4.10205618556404\n", + "\\item 2.38472002237679\n", + "\\item 5.38825951428986\n", + "\\item 7.03190209963221\n", + "\\item 3.40212227912265\n", + "\\item 1.34095481003312\n", + "\\item 1.4202580109064\n", + "\\item 5.1716548487795\n", + "\\item 2.4909887358441\n", + "\\item 3.21830054893864\n", + "\\item 4.71395489400372\n", + "\\item 2.32532863223357\n", + "\\item 4.40360060763768\n", + "\\item 4.51163245298139\n", + "\\item 2.59987280344013\n", + "\\item 5.29178880300392\n", + "\\item 4.47504528502534\n", + "\\item 4.48520402227517\n", + "\\item 4.46157578413749\n", + "\\item 2.81329606815649\n", + "\\item 2.99338110272339\n", + "\\item 5.21332813971309\n", + "\\item 2.80619491941991\n", + "\\item 3.53948798452146\n", + "\\item 7.19561642632639\n", + "\\item 6.6292927097066\n", + "\\item 7.72996729584166\n", + "\\item 4.5928651961417\n", + "\\item 5.56559890498\n", + "\\item 3.8048180725192\n", + "\\item 3.58547298875252\n", + "\\item 4.2638720122709\n", + "\\item 4.30478415663178\n", + "\\item 1.55017507109312\n", + "\\item 2.26972395013939\n", + "\\item 8.91500167264476\n", + "\\item 2.01857245559629\n", + "\\item 6.53236353693349\n", + "\\item 1.70879838182768\n", + "\\item 5.7487070881795\n", + "\\item 5.32470556155574\n", + "\\item 0.787946588387852\n", + "\\item 2.94747096967419\n", + "\\item 7.06277065648334\n", + "\\item 3.76732251750489\n", + "\\item 4.42103366814188\n", + "\\item 1.91046575560995\n", + "\\item 2.8919814826759\n", + "\\item 2.19497647110102\n", + "\\item 4.3175556302671\n", + "\\item 4.19825064900512\n", + "\\item 4.33526805790221\n", + "\\item 1.7746583722955\n", + "\\item 4.14556746610466\n", + "\\item 5.85177765844459\n", + "\\item 2.43851459447789\n", + "\\item 5.41561814035681\n", + "\\item 2.62605944953861\n", + "\\item 4.32086222431042\n", + "\\item 8.42510490508769\n", + "\\item 9.14899293643907\n", + "\\item 3.35213075420893\n", + "\\item 1.64979703953735\n", + "\\item 1.53464728403024\n", + "\\item 2.29559934894587\n", + "\\item 4.72380264453379\n", + "\\item 3.17320322541758\n", + "\\item 4.72719319812799\n", + "\\item 2.82573645033206\n", + "\\item 6.36579119293265\n", + "\\item 6.74502935166133\n", + "\\item 4.92895667360685\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 1.92725834411783\n", + "\\item 2.87643502809008\n", + "\\item 7.64294975820086\n", + "\\item 6.16069303383457\n", + "\\item 2.12364052395932\n", + "\\item 4.34422598734419\n", + "\\item 6.15581534862473\n", + "\\item 4.86287928528865\n", + "\\item 2.50105663937409\n", + "\\item 3.04272378554169\n", + "\\item 3.30219354463175\n", + "\\item 4.08078527393722\n", + "\\item 7.77164548842001\n", + "\\item 8.46462547568124\n", + "\\item 3.21600765815296\n", + "\\item 0.666513998589276\n", + "\\item 1.77892902331738\n", + "\\item 4.55934603834179\n", + "\\item 4.25270257601003\n", + "\\item 9.34515700703\n", + "\\item 7.78760957695429\n", + "\\item 4.12788718188887\n", + "\\item 6.64133883505602\n", + "\\item 3.25235743162375\n", + "\\item 5.0587531256898\n", + "\\item 6.77664690629458\n", + "\\item 7.04336204488229\n", + "\\item 4.04650163830283\n", + "\\item 5.1163480063375\n", + "\\item 1.71449902704431\n", + "\\item 4.78111186404401\n", + "\\item 5.00976459169206\n", + "\\item 3.84819218041623\n", + "\\item 7.32887457427015\n", + "\\item 8.37866097158079\n", + "\\item 3.29469277058629\n", + "\\item 6.21918195848965\n", + "\\item 7.26701146927813\n", + "\\item 7.10340430896967\n", + "\\item 2.48337340958044\n", + "\\item 6.77208484074342\n", + "\\item 5.705467958147\n", + "\\item 3.50125751507509\n", + "\\item 3.86133900106745\n", + "\\item 10.2478246770002\n", + "\\item 11.367311900222\n", + "\\item 7.0640667106909\n", + "\\item 0.673360717966052\n", + "\\item 1.38075206618465\n", + "\\item 6.70111737583882\n", + "\\item 5.83831669621403\n", + "\\item 4.84729859514206\n", + "\\item 1.39479604287488\n", + "\\item 1.98278051793318\n", + "\\item 3.51784677228739\n", + "\\item 5.59674933936434\n", + "\\item 3.71317456743961\n", + "\\item 5.32895501577764\n", + "\\item 3.26233089053298\n", + "\\item 5.75992096820064\n", + "\\item 8.74198193950803\n", + "\\item 7.92676547028981\n", + "\\item 8.40620711177818\n", + "\\item 4.13716442288278\n", + "\\item 5.37645780940296\n", + "\\item 5.35901393642411\n", + "\\item 1.3354864104486\n", + "\\item 5.46146409914999\n", + "\\item 10.5662442022354\n", + "\\item 3.35640858474163\n", + "\\item 9.36333120316293\n", + "\\item 5.8386444998065\n", + "\\item 5.55528373137443\n", + "\\item 4.97273269065951\n", + "\\item 5.83213626813876\n", + "\\item 2.19497875560474\n", + "\\item 7.584155558333\n", + "\\item 1.41238239697348\n", + "\\item 4.14562861209882\n", + "\\item 11.3876093421876\n", + "\\item 2.4629429837423\n", + "\\item 4.71476323581848\n", + "\\item 6.59299600403451\n", + "\\item 5.05152318108181\n", + "\\item 5.28706397542845\n", + "\\item 4.2940689502816\n", + "\\item 1.84393009257136\n", + "\\item 4.17729806751987\n", + "\\item 6.01140511465095\n", + "\\item 6.09051091815129\n", + "\\item 7.7479418811237\n", + "\\item 6.57700134316384\n", + "\\item 1.17080217197535\n", + "\\item 2.047971793642\n", + "\\item 6.1717249392515\n", + "\\item 5.53704921886063\n", + "\\item 6.65642652905669\n", + "\\item 6.95087831285004\n", + "\\item 1.11794529193871\n", + "\\item 4.10398806649207\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 1.80966620532338\n", + "\\item 4.55412249423692\n", + "\\item 4.62427438665666\n", + "\\item 9.75134562472507\n", + "\\item 5.11233577130131\n", + "\\item 4.17425760263197\n", + "\\item 6.09820444692666\n", + "\\item 1.46190250693537\n", + "\\item 2.89612723384876\n", + "\\item 1.33175990728101\n", + "\\item 1.22117272369732\n", + "\\item 6.63367969470309\n", + "\\item 3.03070710088732\n", + "\\item 4.91051079025195\n", + "\\item 7.00722949648236\n", + "\\item 5.90166370818103\n", + "\\item 5.80694534152447\n", + "\\item 2.88358710264452\n", + "\\item 1.88500461161131\n", + "\\item 8.29484613853879\n", + "\\item 4.46278537597847\n", + "\\item 6.46888926316171\n", + "\\item 3.69326862664455\n", + "\\item 4.82409317716957\n", + "\\item 1.82281601629436\n", + "\\item 4.58700347024787\n", + "\\item 4.24411073062714\n", + "\\item 1.60627973936427\n", + "\\item 6.3654399808306\n", + "\\item 3.15740225403062\n", + "\\item 5.67233702721674\n", + "\\item 6.02533768474426\n", + "\\item 1.14284572683039\n", + "\\item 2.40045736316123\n", + "\\item 2.78666620359827\n", + "\\item 1.79486035796011\n", + "\\item 1.72724711905146\n", + "\\item 5.384955820474\n", + "\\item 2.29348561977613\n", + "\\item 2.65445389138711\n", + "\\item 2.21520427632827\n", + "\\item 8.04794122816401\n", + "\\item 4.59007920144457\n", + "\\item 4.60455842838113\n", + "\\item 6.89954412355035\n", + "\\item 2.54445358644709\n", + "\\item 1.46027389704213\n", + "\\item 7.60655035488009\n", + "\\item 2.1019007166878\n", + "\\item 2.96965793817891\n", + "\\item 1.47958277882948\n", + "\\item 3.0780710820045\n", + "\\item 5.25969131272644\n", + "\\item 2.5066747404463\n", + "\\item 3.57095796287739\n", + "\\item 4.58199113502994\n", + "\\item 3.95770431271487\n", + "\\item 4.26299031572112\n", + "\\item 2.72178751916349\n", + "\\item 1.81532485373701\n", + "\\item 6.64403340891644\n", + "\\item 7.55237743344036\n", + "\\item 5.50636488021504\n", + "\\item 3.11686235779198\n", + "\\item 1.90101183823844\n", + "\\item 4.71433470061219\n", + "\\item 4.2530470965531\n", + "\\item 6.66594042099871\n", + "\\item 4.52586992465551\n", + "\\item 4.19928402994007\n", + "\\item 5.74787307203629\n", + "\\item 5.59346741080827\n", + "\\item 3.93450127977752\n", + "\\item 3.81992673864012\n", + "\\item 2.41173889661585\n", + "\\item 2.79991941354773\n", + "\\item 10.3395472386813\n", + "\\item 3.06683285705497\n", + "\\item 0.929390938693215\n", + "\\item 6.0766931325921\n", + "\\item 4.32605517706642\n", + "\\item 0.822999144347352\n", + "\\item 3.33025517123111\n", + "\\item 1.9988412521113\n", + "\\item 1.85589687011902\n", + "\\item 3.37263578213309\n", + "\\item 7.10654568968826\n", + "\\item 7.95573618562226\n", + "\\item 1.49651088991649\n", + "\\item 2.9644489278073\n", + "\\item 4.39658859630257\n", + "\\item 7.88682770894999\n", + "\\item 2.18669710609916\n", + "\\item 3.45530270860703\n", + "\\item 4.05755426882184\n", + "\\item 6.01266749174333\n", + "\\item 3.6811871052982\n", + "\\item 3.87503697857139\n", + "\\item 4.51042267642344\n", + "\\item 6.9577262249241\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 7.68502619624037\n", + "\\item 7.38892488509012\n", + "\\item 6.51962293404447\n", + "\\item 2.27266409545879\n", + "\\item 1.78039967101122\n", + "\\item 3.18103892955873\n", + "\\item 4.68455482276059\n", + "\\item 9.05217413655322\n", + "\\item 3.55952931360613\n", + "\\item 2.27811593104487\n", + "\\item 8.5385263116695\n", + "\\item 5.50473582372903\n", + "\\item 5.57211630954908\n", + "\\item 7.28774082697241\n", + "\\item 11.8475902035153\n", + "\\item 1.77341204355824\n", + "\\item 3.77181910754158\n", + "\\item 4.04975164765224\n", + "\\item 1.75255166977751\n", + "\\item 10.1987545118506\n", + "\\item 3.51801098554829\n", + "\\item 2.76946857648352\n", + "\\item 2.86892622689916\n", + "\\item 1.47524760652451\n", + "\\item 5.48321414460735\n", + "\\item 7.73413528602975\n", + "\\item 1.47808330383399\n", + "\\item 4.93497636772199\n", + "\\item 6.74489346328271\n", + "\\item 5.47736463636086\n", + "\\item 2.54878554860922\n", + "\\item 2.18029694948493\n", + "\\item 1.21048861577678\n", + "\\item 7.61843710142949\n", + "\\item 1.33551106052953\n", + "\\item 2.69361373208291\n", + "\\item 6.14043673192313\n", + "\\item 6.10606522292968\n", + "\\item 2.68979524868966\n", + "\\item 5.79352836781248\n", + "\\item 1.62868089080532\n", + "\\item 5.26297892339824\n", + "\\item 5.33939590698798\n", + "\\item 4.52031037521697\n", + "\\item 6.33682815991985\n", + "\\item 3.50366631185492\n", + "\\item 8.10038308900729\n", + "\\item 2.87551300399898\n", + "\\item 5.69969887181928\n", + "\\item 5.27969998881307\n", + "\\item 7.40986148613469\n", + "\\item 2.3472415839963\n", + "\\item 4.07790389885642\n", + "\\item 1.00801747622158\n", + "\\item 6.58534237039862\n", + "\\item 6.05441968082858\n", + "\\item 5.81569060671693\n", + "\\item 4.27288382659272\n", + "\\item 9.5740866382608\n", + "\\item 2.21623772625793\n", + "\\item 4.23342280781576\n", + "\\item 6.77463373802035\n", + "\\item 8.46494328375309\n", + "\\item 5.17921415057964\n", + "\\item 3.56744653459567\n", + "\\item 3.79194334898153\n", + "\\item 7.01918824284658\n", + "\\item 3.47547196261132\n", + "\\item 6.25810792082163\n", + "\\item 6.51954032747328\n", + "\\item 2.71273052662965\n", + "\\item 3.12117314229818\n", + "\\item 4.95039652706711\n", + "\\item 6.78641616327626\n", + "\\item 4.06357179600091\n", + "\\item 7.85582136957039\n", + "\\item 5.30756729834696\n", + "\\item 3.99207907986936\n", + "\\item 4.13493361370652\n", + "\\item 3.86500438385164\n", + "\\item 8.25951121854509\n", + "\\item 2.66393618216521\n", + "\\item 8.53071091714052\n", + "\\item 3.59619271217773\n", + "\\item 6.97097214806128\n", + "\\item 4.80280872249575\n", + "\\item 4.6416047105406\n", + "\\item 2.31509375710328\n", + "\\item 4.72122887356897\n", + "\\item 5.98824636644895\n", + "\\item 5.30031462531575\n", + "\\item 8.01371299950168\n", + "\\item 4.65736517261381\n", + "\\item 5.87994320724179\n", + "\\item 2.32607536161097\n", + "\\item 5.30623499952757\n", + "\\item 7.88869521061973\n", + "\\item 5.78015661328326\n", + "\\item 5.91892027361247\n", + "\\item 4.40732356974447\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 2.69635869400936\n", + "\\item 6.27739896453045\n", + "\\item 1.7519920042218\n", + "\\item 4.43671307300922\n", + "\\item 5.22536723607585\n", + "\\item 2.83436632444749\n", + "\\item 6.36860935279807\n", + "\\item 7.7742638001439\n", + "\\item 5.28396996558198\n", + "\\item 4.75502097331659\n", + "\\item 5.95276349586442\n", + "\\item 5.03972966408702\n", + "\\item 3.38526795071919\n", + "\\item 1.43454612636039\n", + "\\item 3.59810052788624\n", + "\\item 2.64833156081066\n", + "\\item 5.71216017609035\n", + "\\item 1.06743338790104\n", + "\\item 1.90910877951182\n", + "\\item 4.3277389239957\n", + "\\item 2.75763854179504\n", + "\\item 6.69097156222081\n", + "\\item 5.82303024598124\n", + "\\item 3.52368939001358\n", + "\\item 1.23826945939225\n", + "\\item 4.1903656245052\n", + "\\item 2.48528579966468\n", + "\\item 1.49085930907176\n", + "\\item 1.40294851427929\n", + "\\item 4.78145725265504\n", + "\\item 4.94623902121382\n", + "\\item 3.62095419230929\n", + "\\item 6.55380769248459\n", + "\\item 7.57335518641717\n", + "\\item 1.82368677496894\n", + "\\item 3.32404662419719\n", + "\\item 7.16005202342843\n", + "\\item 2.66236853085186\n", + "\\item 4.42891875500276\n", + "\\item 0.608549176775959\n", + "\\item 1.61030570523355\n", + "\\item 2.15492747713597\n", + "\\item 1.19389564048685\n", + "\\item 4.95579108762996\n", + "\\item 2.38996547757235\n", + "\\item 4.33770660062397\n", + "\\item 2.72472158766918\n", + "\\item 3.94272427196466\n", + "\\item 4.7142248622478\n", + "\\item 6.05723864262292\n", + "\\item 9.30961974426076\n", + "\\item 3.50136918822657\n", + "\\item 2.39379023975232\n", + "\\item 2.53837213213013\n", + "\\item 1.13480685707817\n", + "\\item 1.94545797486096\n", + "\\item 5.51409719453037\n", + "\\item 2.59615535245736\n", + "\\item 5.19672423332519\n", + "\\item 6.57912822264172\n", + "\\item 10.6877469647974\n", + "\\item 2.31981558442797\n", + "\\item 1.31724886145989\n", + "\\item 5.60417375119859\n", + "\\item 3.41832440520882\n", + "\\item 1.75669744133674\n", + "\\item 3.07517507217428\n", + "\\item 9.74685074751786\n", + "\\item 1.95164766334682\n", + "\\item 6.26897802747976\n", + "\\item 4.04549355015697\n", + "\\item 2.89404408222233\n", + "\\item 4.56366580803951\n", + "\\item 2.03264029360789\n", + "\\item 6.07775291553421\n", + "\\item 6.33286410793588\n", + "\\item 5.82197084653985\n", + "\\item 2.65117855753557\n", + "\\item 4.26494190763739\n", + "\\item 2.02525147700902\n", + "\\item 2.87044111565899\n", + "\\item 3.24313579402158\n", + "\\item 3.91204612406218\n", + "\\item 3.48875712173202\n", + "\\item 1.60759860785434\n", + "\\item 3.39701031464592\n", + "\\item 1.78992828830197\n", + "\\item 3.9839358403609\n", + "\\item 1.90453535169939\n", + "\\item 6.33754514724471\n", + "\\item 3.69617014435091\n", + "\\item 6.56467706667067\n", + "\\item 9.31000920528741\n", + "\\item 3.78790402000158\n", + "\\item 7.15157591398403\n", + "\\item 1.2926007260022\n", + "\\item 4.22168154989526\n", + "\\item 5.69442177961716\n", + "\\item 4.2880924393703\n", + "\\item 3.89231379390036\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 5.48675440059876\n", + "\\item 3.17467643688782\n", + "\\item 6.39887874746113\n", + "\\item 2.85830921614722\n", + "\\item 7.11217592895027\n", + "\\item 1.87641394343723\n", + "\\item 2.86442262960699\n", + "\\item 4.75158606155284\n", + "\\item 1.7705580434766\n", + "\\item 1.06382063772515\n", + "\\item 1.86701190686666\n", + "\\item 2.13454828746701\n", + "\\item 3.88316792759886\n", + "\\item 6.43347663850788\n", + "\\item 6.19503266627106\n", + "\\item 1.90044354776971\n", + "\\item 2.0843780703101\n", + "\\item 6.72223018369271\n", + "\\item 0.797008903763485\n", + "\\item 2.28386778243903\n", + "\\item 7.20109444717423\n", + "\\item 6.49777875926284\n", + "\\item 3.36780893543867\n", + "\\item 2.59178842604905\n", + "\\item 3.19195528131484\n", + "\\item 2.10448767747074\n", + "\\item 4.29392195355831\n", + "\\item 2.46547247581699\n", + "\\item 7.43922497598123\n", + "\\item 2.72462414300829\n", + "\\item 1.97293402483293\n", + "\\item 6.41993181588083\n", + "\\item 2.84587295946611\n", + "\\item 1.2297897864475\n", + "\\item 5.93541713006643\n", + "\\item 7.73957040634904\n", + "\\item 5.3646920707085\n", + "\\item 1.60259810960732\n", + "\\item 1.7921282876187\n", + "\\item 2.80195594662493\n", + "\\item 4.77530986605808\n", + "\\item 4.83803837700091\n", + "\\item 1.83811844784852\n", + "\\item 1.62403743252174\n", + "\\item 4.48872679333978\n", + "\\item 2.71535067558649\n", + "\\item 5.03300553880926\n", + "\\item 3.43984052268466\n", + "\\item 3.81538486397327\n", + "\\item 3.83369976118549\n", + "\\item 2.25406186442719\n", + "\\item 6.87927656684953\n", + "\\item 2.35987116230188\n", + "\\item 1.89652137887436\n", + "\\item 4.81448053816235\n", + "\\item 2.68025562711053\n", + "\\item 1.80167641874116\n", + "\\item 1.531703981843\n", + "\\item 1.89685296831229\n", + "\\item 2.16414172778697\n", + "\\item 1.95435481066745\n", + "\\item 1.67069040124306\n", + "\\item 6.02833266018483\n", + "\\item 7.10576092093509\n", + "\\item 3.05572369441537\n", + "\\item 3.48775495972116\n", + "\\item 2.70278440158472\n", + "\\item 3.54569563776061\n", + "\\item 6.54105439329327\n", + "\\item 1.42384408004169\n", + "\\item 6.03278416844129\n", + "\\item 1.97757387039941\n", + "\\item 6.89701760202682\n", + "\\item 5.83951687800502\n", + "\\item 1.71486310861323\n", + "\\item 0.883824654372959\n", + "\\item 3.25881850604689\n", + "\\item 2.05720902152633\n", + "\\item 4.20160218961795\n", + "\\item 5.87236858872444\n", + "\\item 3.26899092408076\n", + "\\item 3.93634918943394\n", + "\\item 7.81135863802518\n", + "\\item 8.70205791234221\n", + "\\item 2.24423497684239\n", + "\\item 3.09678174595435\n", + "\\item 2.20011561651522\n", + "\\item 3.44015498191814\n", + "\\item 6.24390306868331\n", + "\\item 1.89093437690909\n", + "\\item 6.27899846850332\n", + "\\item 3.50608779915458\n", + "\\item 0.810272771096226\n", + "\\item 5.19698825941725\n", + "\\item 2.85281560296649\n", + "\\item 3.46192985427267\n", + "\\item 8.03963283201143\n", + "\\item 1.09254196348086\n", + "\\item 1.44388671816682\n", + "\\item 1.63284684209851\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 6.9847401670112\n", + "\\item 1.89065647718194\n", + "\\item 4.15214781032227\n", + "\\item 3.29601477353997\n", + "\\item 7.24793129469219\n", + "\\item 8.69170021126224\n", + "\\item 4.93428279479148\n", + "\\item 1.2875823653907\n", + "\\item 7.96906830452952\n", + "\\item 7.90580755941419\n", + "\\item 1.17989937647116\n", + "\\item 3.28592586721239\n", + "\\item 5.47369025239897\n", + "\\item 5.47358247858924\n", + "\\item 1.2799139125377\n", + "\\item 5.40034841523825\n", + "\\item 3.76771190339801\n", + "\\item 3.67137569548382\n", + "\\item 2.47996421591222\n", + "\\item 2.64972654860207\n", + "\\item 2.6279306971409\n", + "\\item 4.70444721803132\n", + "\\item 1.82103265308182\n", + "\\item 5.16714709022813\n", + "\\item 5.08704524066278\n", + "\\item 5.67928172665025\n", + "\\item 4.34813694504132\n", + "\\item 6.45189125067166\n", + "\\item 1.68143993485388\n", + "\\item 2.02822693354504\n", + "\\item 8.81218761777615\n", + "\\item 4.48062451261649\n", + "\\item 2.90479533425883\n", + "\\item 6.04612621873129\n", + "\\item 3.86322939280368\n", + "\\item 5.12359401778992\n", + "\\item 7.02854093573452\n", + "\\item 3.50649763142433\n", + "\\item 8.15972075542527\n", + "\\item 9.2880476817579\n", + "\\item 1.58080793919835\n", + "\\item 2.14734397858375\n", + "\\item 6.13076824419717\n", + "\\item 7.29574605342387\n", + "\\item 4.72786155180898\n", + "\\item 0.473902108296734\n", + "\\item 1.28425054973136\n", + "\\item 5.10830635757801\n", + "\\item 3.415217321999\n", + "\\item 3.54379962836245\n", + "\\item 4.23996833317021\n", + "\\item 7.70360198047583\n", + "\\item 2.11095350733489\n", + "\\item 3.15944396284375\n", + "\\item 3.88788134254286\n", + "\\item 3.23394300719373\n", + "\\item 1.24795258570849\n", + "\\item 4.67054110476738\n", + "\\item 1.19879396462053\n", + "\\item 2.64086093488053\n", + "\\item 1.26422647023197\n", + "\\item 3.21005382441475\n", + "\\item 3.69028456956576\n", + "\\item 4.79494818688204\n", + "\\item 3.21787496258614\n", + "\\item 1.96989348773985\n", + "\\item 3.10535479071905\n", + "\\item 1.29199159151947\n", + "\\item 2.91159799681139\n", + "\\item 1.74175691235701\n", + "\\item 2.65522409127404\n", + "\\item 2.7335272713274\n", + "\\item 2.14307062691453\n", + "\\item 3.16417908438128\n", + "\\item 3.28484205774145\n", + "\\item 4.67208966596296\n", + "\\item 3.27381153899263\n", + "\\item 4.24587452818578\n", + "\\item 7.6453259062249\n", + "\\item 5.07610383341099\n", + "\\item 4.24233632129258\n", + "\\item 2.61568398304477\n", + "\\item 3.73285193263942\n", + "\\item 4.26837081185484\n", + "\\item 4.39851016596884\n", + "\\item 3.76875962194947\n", + "\\item 1.82067421033698\n", + "\\item 5.33253308172285\n", + "\\item 1.26806163956501\n", + "\\item 6.06946046181119\n", + "\\item 1.70811558964724\n", + "\\item 6.28342864244514\n", + "\\item 1.55274475373849\n", + "\\item 1.88725929597445\n", + "\\item 1.40383756048381\n", + "\\item 6.03141964492531\n", + "\\item 5.14867036912384\n", + "\\item 6.53506456121821\n", + "\\item 8.12087072659291\n", + "\\item 5.23200652085501\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 3.69584936972449\n", + "\\item 2.49699838425425\n", + "\\item 2.00840535811159\n", + "\\item 1.08072032187925\n", + "\\item 1.84183914486819\n", + "\\item 2.61777877089636\n", + "\\item 5.19621759523973\n", + "\\item 2.5112327931748\n", + "\\item 3.08138915559517\n", + "\\item 6.43307246756901\n", + "\\item 0.906295641962538\n", + "\\item 4.32325921414387\n", + "\\item 4.71395050794486\n", + "\\item 1.56567386203381\n", + "\\item 1.82848527541418\n", + "\\item 2.83978040439876\n", + "\\item 5.01717136003633\n", + "\\item 0.987513337641646\n", + "\\item 1.93014094353967\n", + "\\item 3.80063797087771\n", + "\\item 6.48666797809682\n", + "\\item 0.594232635146751\n", + "\\item 2.53152026631474\n", + "\\item 2.87023411085694\n", + "\\item 3.38400149090641\n", + "\\item 3.47569049527264\n", + "\\item 2.34370019675152\n", + "\\item 1.16581527299373\n", + "\\item 1.26546072808892\n", + "\\item 1.90662408708832\n", + "\\item 4.18491517960048\n", + "\\item 2.75594347852702\n", + "\\item 2.14784094524875\n", + "\\item 4.0305434669031\n", + "\\item 2.76621882796512\n", + "\\item 3.94295419121312\n", + "\\item 6.14225990129386\n", + "\\item 4.23856648138041\n", + "\\item 3.40155142583111\n", + "\\item 1.78841001455528\n", + "\\item 2.17073513909175\n", + "\\item 2.32465538868527\n", + "\\item 2.17899779771652\n", + "\\item 6.89629378487663\n", + "\\item 4.52911023371704\n", + "\\item 3.61230039801039\n", + "\\item 2.59237249910906\n", + "\\item 1.96914595478049\n", + "\\item 2.27840121631857\n", + "\\item 3.60442273295507\n", + "\\item 3.06557820701461\n", + "\\item 5.79408926914945\n", + "\\item 1.1553019050215\n", + "\\item 2.23119210392926\n", + "\\item 5.78622171050933\n", + "\\item 5.62697149759359\n", + "\\item 2.36554454947782\n", + "\\item 2.57257859433449\n", + "\\item 4.39412685784749\n", + "\\item 2.46392319986834\n", + "\\item 5.6258564230765\n", + "\\item 2.3669319780262\n", + "\\item 4.3053068386105\n", + "\\item 1.39883463255638\n", + "\\item 1.25118118474486\n", + "\\item 1.5918123103549\n", + "\\item 3.11086773112752\n", + "\\item 4.95775111062005\n", + "\\item 2.4904902419782\n", + "\\item 1.90699629807863\n", + "\\item 6.83906376592812\n", + "\\item 3.54888927444698\n", + "\\item 3.26926305770662\n", + "\\item 3.57561543266603\n", + "\\item 3.56303273663258\n", + "\\item 2.29550561412709\n", + "\\item 3.22518874714167\n", + "\\item 3.36420911799848\n", + "\\item 6.48171969621115\n", + "\\item 4.27068199474603\n", + "\\item 3.85678404441959\n", + "\\item 2.0158345482944\n", + "\\item 1.25613106425192\n", + "\\item 2.51131455694033\n", + "\\item 3.79378666089819\n", + "\\item 2.46557096464825\n", + "\\item 2.0270759567326\n", + "\\item 5.57317085193294\n", + "\\item 2.70102924611087\n", + "\\item 5.55680765078537\n", + "\\item 3.65659633685481\n", + "\\item 5.84928394862895\n", + "\\item 2.81587589422097\n", + "\\item 1.18178689496881\n", + "\\item 2.72173498174517\n", + "\\item 2.48985573362354\n", + "\\item 4.4915331078746\n", + "\\item 3.42627924231326\n", + "\\item 1.36451982098963\n", + "\\item 2.62231993700669\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 6.36488910303046\n", + "\\item 4.94334591063897\n", + "\\item 3.98389861844806\n", + "\\item 9.25632202858532\n", + "\\item 5.12063829570488\n", + "\\item 6.23786860736365\n", + "\\item 0.701841188002244\n", + "\\item 5.67559522026141\n", + "\\item 3.49434243976426\n", + "\\item 5.41822574251008\n", + "\\item 8.30571796381023\n", + "\\item 10.7477684876352\n", + "\\item 2.55013774754186\n", + "\\item 6.34171881997449\n", + "\\item 6.63229239320222\n", + "\\item 7.04624693043383\n", + "\\item 1.67543338124097\n", + "\\item 4.70061772966265\n", + "\\item 2.69554920940446\n", + "\\item 5.39075244061432\n", + "\\item 2.0357756444322\n", + "\\item 2.27141888897684\n", + "\\item 4.81837957852784\n", + "\\item 8.25545949613494\n", + "\\item 3.16771635667194\n", + "\\item 5.78975203095388\n", + "\\item 5.49617864806221\n", + "\\item 1.19864820098633\n", + "\\item 1.69479899624374\n", + "\\item 2.84846194129032\n", + "\\item 7.25800634546816\n", + "\\item 6.75257819707679\n", + "\\item 3.45777671768669\n", + "\\item 2.69396609621491\n", + "\\item 4.30292802063473\n", + "\\item 2.67435912758005\n", + "\\item 2.66320377715064\n", + "\\item 5.4712968722747\n", + "\\item 2.36235785263915\n", + "\\item 7.1036190683504\n", + "\\item 6.56255384918426\n", + "\\item 5.98446073007874\n", + "\\item 1.84705211919773\n", + "\\item 1.63887885926808\n", + "\\item 8.28755477547605\n", + "\\item 9.40583571008119\n", + "\\item 2.16801333758491\n", + "\\item 7.18905695047221\n", + "\\item 1.8598341622764\n", + "\\item 2.6631648490736\n", + "\\item 6.33035698176936\n", + "\\item 2.66050905364086\n", + "\\item 2.40924465038628\n", + "\\item 4.79460756690004\n", + "\\item 2.88140817463965\n", + "\\item 2.81839236955841\n", + "\\item 2.46345660583529\n", + "\\item 3.35976461721073\n", + "\\item 5.92730140438997\n", + "\\item 6.90919862628311\n", + "\\item 5.06406239452709\n", + "\\item 3.1099647656176\n", + "\\item 6.00158016015143\n", + "\\item 6.42996999358242\n", + "\\item 3.49858825550776\n", + "\\item 7.07864083447212\n", + "\\item 1.86946847785665\n", + "\\item 2.04769324425649\n", + "\\item 2.91138489082945\n", + "\\item 7.79602036742524\n", + "\\item 1.69275903079188\n", + "\\item 3.41698215896246\n", + "\\item 4.957539042675\n", + "\\item 5.13398951541831\n", + "\\item 3.84488466557404\n", + "\\item 5.39033687246889\n", + "\\item 4.66728461240868\n", + "\\item 3.59503055313441\n", + "\\item 2.99893423505226\n", + "\\item 2.4085177297191\n", + "\\item 6.72678097912971\n", + "\\item 5.46845517305544\n", + "\\item 3.86322122266327\n", + "\\item 2.513127580204\n", + "\\item 1.98736689905165\n", + "\\item 5.04426159096796\n", + "\\item 3.88975395342076\n", + "\\item 2.19118797179985\n", + "\\item 6.97081154440839\n", + "\\item 2.64710144676975\n", + "\\item 3.42846570128062\n", + "\\item 4.66253899259639\n", + "\\item 1.47408906877225\n", + "\\item 6.86759224372025\n", + "\\item 5.41622931212485\n", + "\\item 3.56486247900308\n", + "\\item 3.5709122305837\n", + "\\item 5.05367836253215\n", + "\\item 4.20824214587951\n", + "\\item 7.00340519143349\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 5.32733532860995\n", + "\\item 3.9822255678921\n", + "\\item 7.15913653148444\n", + "\\item 5.00321923801464\n", + "\\item 2.08679173349617\n", + "\\item 2.77196355707764\n", + "\\item 2.49990975958608\n", + "\\item 4.57748181716606\n", + "\\item 3.84484730895162\n", + "\\item 6.7201211066346\n", + "\\item 6.63432858787695\n", + "\\item 8.06542799981779\n", + "\\item 6.76445953605325\n", + "\\item 4.42999275130371\n", + "\\item 6.76706111366495\n", + "\\item 5.22453250932284\n", + "\\item 6.74923331286767\n", + "\\item 1.39855623836501\n", + "\\item 4.72549053827684\n", + "\\item 3.1180217748954\n", + "\\item 6.09908407197399\n", + "\\item 3.86371364322693\n", + "\\item 9.01806088341062\n", + "\\item 7.86943593758145\n", + "\\item 6.53398754581272\n", + "\\item 7.76871029880694\n", + "\\item 4.15830652115989\n", + "\\item 4.42047518098557\n", + "\\item 3.42862910579101\n", + "\\item 4.57785379554239\n", + "\\item 4.46146718483222\n", + "\\item 5.13594321676451\n", + "\\item 2.76296373647147\n", + "\\item 5.7803859814433\n", + "\\item 4.10510675245806\n", + "\\item 5.43610011121236\n", + "\\item 7.10097017687463\n", + "\\item 9.36925773965459\n", + "\\item 2.50313458031377\n", + "\\item 2.60551278903922\n", + "\\item 5.82272706070444\n", + "\\item 3.04086058422377\n", + "\\item 2.18098926991928\n", + "\\item 3.88221961694853\n", + "\\item 7.81184033066238\n", + "\\item 5.9018362264965\n", + "\\item 2.87360046161879\n", + "\\item 7.054180637972\n", + "\\item 4.48239975223018\n", + "\\item 4.09226352414297\n", + "\\item 3.105542396461\n", + "\\item 4.14705723556955\n", + "\\item 7.01511448100415\n", + "\\item 8.63455699004045\n", + "\\item 6.42847457433764\n", + "\\item 7.9997366470796\n", + "\\item 7.48874265471495\n", + "\\item 2.76910801538305\n", + "\\item 8.37090421782274\n", + "\\item 6.57789119487834\n", + "\\item 5.53900695644742\n", + "\\item 5.65885428096155\n", + "\\item 3.34841341277084\n", + "\\item 4.70891115148277\n", + "\\item 2.91537664101041\n", + "\\item 5.8209355658853\n", + "\\item 4.85522315856728\n", + "\\item 6.24070010077741\n", + "\\item 1.33106526074207\n", + "\\item 5.62053980146127\n", + "\\item 7.19507304792053\n", + "\\item 3.35980256999373\n", + "\\item 4.51262597756191\n", + "\\item 1.86181739697992\n", + "\\item 2.83064035178986\n", + "\\item 6.22539648266149\n", + "\\item 5.13541846014736\n", + "\\item 7.09102529996324\n", + "\\item 5.39042919283695\n", + "\\item 7.64867754404009\n", + "\\item 3.6062432512126\n", + "\\item 6.36867538930889\n", + "\\item 9.63126329818998\n", + "\\item 2.96217505018099\n", + "\\item 7.31694423221643\n", + "\\item 2.08502744137831\n", + "\\item 5.63735183942937\n", + "\\item 4.59968156293431\n", + "\\item 4.72865633906921\n", + "\\item 3.93075746329737\n", + "\\item 6.89375628538556\n", + "\\item 7.38609504551204\n", + "\\item 4.15141357992113\n", + "\\item 1.03340293256905\n", + "\\item 4.66682404501561\n", + "\\item 7.25786394936132\n", + "\\item 1.24713281423563\n", + "\\item 9.0379340997347\n", + "\\item 5.57733690257146\n", + "\\item 8.55191330388362\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 4.4784970892613\n", + "\\item 1.80035378683288\n", + "\\item 5.10231002492126\n", + "\\item 2.60917712917409\n", + "\\item 0.985700885867674\n", + "\\item 1.21309840378652\n", + "\\item 3.70575841610354\n", + "\\item 0.71665211436124\n", + "\\item 2.40817160484175\n", + "\\item 4.5254232362976\n", + "\\item 5.13465754822334\n", + "\\item 8.69261952936659\n", + "\\item 4.5191974519101\n", + "\\item 1.65580939173958\n", + "\\item 0.96013071364377\n", + "\\item 5.8985228607386\n", + "\\item 1.05305599439712\n", + "\\item 3.14909228442564\n", + "\\item 4.49945790995084\n", + "\\item 1.22206644509033\n", + "\\item 6.48326569444055\n", + "\\item 2.45314714212483\n", + "\\item 1.98785862098354\n", + "\\item 4.23356422123417\n", + "\\item 4.45604734817541\n", + "\\item 0.983479120992655\n", + "\\item 2.58786382837564\n", + "\\item 4.42703597466531\n", + "\\item 3.48456041869744\n", + "\\item 2.5076792895624\n", + "\\item 7.83552896517296\n", + "\\item 1.55812219656059\n", + "\\item 0.588199534295027\n", + "\\item 3.50248239780345\n", + "\\item 5.25809153633905\n", + "\\item 2.89348241609377\n", + "\\item 2.69543608627295\n", + "\\item 3.94408378461344\n", + "\\item 3.28934241148518\n", + "\\item 1.55488451267829\n", + "\\item 3.59745425306248\n", + "\\item 2.06964093689501\n", + "\\item 4.21071536983812\n", + "\\item 6.75524545271811\n", + "\\item 1.97679892907866\n", + "\\item 2.148182599319\n", + "\\item 5.34310073951735\n", + "\\item 3.06542409849661\n", + "\\item 2.92934334216028\n", + "\\item 5.58717256415295\n", + "\\item 1.80917114638448\n", + "\\item 4.40621760707779\n", + "\\item 1.5649238192374\n", + "\\item 1.35020482819035\n", + "\\item 3.17291587040313\n", + "\\item 4.05846512067523\n", + "\\item 4.09533194273965\n", + "\\item 1.35298221852601\n", + "\\item 5.81117791366298\n", + "\\item 0.780887251276745\n", + "\\item 3.12073688891378\n", + "\\item 1.86498546553995\n", + "\\item 2.72619367197935\n", + "\\item 1.81589676019419\n", + "\\item 2.60358640547442\n", + "\\item 0.758883145773709\n", + "\\item 0.432551760152943\n", + "\\item 1.35088134462723\n", + "\\item 2.50910906945627\n", + "\\item 1.51177855380457\n", + "\\item 3.85664934216086\n", + "\\item 3.53880766304171\n", + "\\item 2.86444836489366\n", + "\\item 6.13675933388114\n", + "\\item 4.47424294313739\n", + "\\item 3.0536636416894\n", + "\\item 5.32027519693865\n", + "\\item 4.63281609970422\n", + "\\item 1.94123057605952\n", + "\\item 1.0008787382441\n", + "\\item 2.44015957607192\n", + "\\item 3.76883518088843\n", + "\\item 7.17582228781898\n", + "\\item 3.71405653598009\n", + "\\item 3.86379354731767\n", + "\\item 7.67513071315857\n", + "\\item 2.41454741112282\n", + "\\item 5.88231587919138\n", + "\\item 3.38741110863713\n", + "\\item 1.83607179576828\n", + "\\item 1.94782889660417\n", + "\\item 3.85926692049739\n", + "\\item 7.62482894854196\n", + "\\item 1.42889163619989\n", + "\\item 1.68365640707705\n", + "\\item 1.58080545005203\n", + "\\item 3.08471354978154\n", + "\\item 3.3067021517757\n", + "\\item 3.02323372784319\n", + "\\item 7.69626664557039\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 1.9083710147228\n", + "\\item 2.73702498821977\n", + "\\item 3.58055400076022\n", + "\\item 7.17826248689185\n", + "\\item 4.51922054124615\n", + "\\item 0.709055894991428\n", + "\\item 5.9112896182741\n", + "\\item 6.12086757654851\n", + "\\item 3.98282891940828\n", + "\\item 1.31640187500315\n", + "\\item 6.60873790420842\n", + "\\item 5.37842208875147\n", + "\\item 1.02022877053241\n", + "\\item 3.39199922848958\n", + "\\item 3.47620236904372\n", + "\\item 7.68053995995997\n", + "\\item 1.55131070284491\n", + "\\item 1.90213652013814\n", + "\\item 1.32919625759521\n", + "\\item 3.28891462452784\n", + "\\item 3.950968747192\n", + "\\item 6.71283964160148\n", + "\\item 5.55392120943899\n", + "\\item 3.07790048804741\n", + "\\item 2.82833789414274\n", + "\\item 1.94420748673444\n", + "\\item 2.52664996478632\n", + "\\item 3.17137693801774\n", + "\\item 2.85283361527396\n", + "\\item 4.92990542669925\n", + "\\item 1.72153375029464\n", + "\\item 3.30383683218632\n", + "\\item 1.14699420285985\n", + "\\item 2.00481989172855\n", + "\\item 1.00320014328692\n", + "\\item 4.76706169064329\n", + "\\item 1.17853265571868\n", + "\\item 5.12985538451285\n", + "\\item 2.37704184795786\n", + "\\item 1.54240250235685\n", + "\\item 7.89351459540784\n", + "\\item 6.12857978472824\n", + "\\item 6.55669340814894\n", + "\\item 7.36310261987807\n", + "\\item 4.32662220651049\n", + "\\item 1.36644551708609\n", + "\\item 3.93424360931163\n", + "\\item 4.45117887958274\n", + "\\item 5.37330540828858\n", + "\\item 5.51402028806821\n", + "\\item 3.86341414113175\n", + "\\item 4.17498016154051\n", + "\\item 2.76375087195311\n", + "\\item 3.0169784449138\n", + "\\item 5.8947328427423\n", + "\\item 5.50905451144381\n", + "\\item 3.45424101202517\n", + "\\item 1.43450647376255\n", + "\\item 5.39289401146909\n", + "\\item 2.86879070340326\n", + "\\item 9.0953591839713\n", + "\\item 4.20876999257604\n", + "\\item 3.12188177434095\n", + "\\item 5.91725706227346\n", + "\\item 5.69085551164582\n", + "\\item 1.20934498371876\n", + "\\item 2.70391281088559\n", + "\\item 4.80276433029847\n", + "\\item 2.21328742956427\n", + "\\item 2.18357014123119\n", + "\\item 3.25271799231874\n", + "\\item 5.44489000466271\n", + "\\item 2.24730820598351\n", + "\\item 4.68669944130006\n", + "\\item 5.56430090802588\n", + "\\item 1.69912257113453\n", + "\\item 0.633798570935275\n", + "\\item 2.60843407154694\n", + "\\item 6.07175778312363\n", + "\\item 1.80090624853638\n", + "\\item 5.3469239356699\n", + "\\item 4.65199780197643\n", + "\\item 4.53013389346409\n", + "\\item 5.54650872402747\n", + "\\item 6.53905735034118\n", + "\\item 1.21025352600721\n", + "\\item 6.53357430494305\n", + "\\item 4.52094897352248\n", + "\\item 3.75594007179109\n", + "\\item 5.95545358190729\n", + "\\item 2.4054607401054\n", + "\\item 3.08492012190925\n", + "\\item 5.98068059228989\n", + "\\item 3.09123314218258\n", + "\\item 5.05962413836402\n", + "\\item 8.66974849866829\n", + "\\item 5.99991282447159\n", + "\\item 4.7168993916495\n", + "\\item 6.55842387548743\n", + "\\item 6.79892831010638\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 7.19883713635242\n", + "\\item 2.23160917572492\n", + "\\item 2.77578409765547\n", + "\\item 4.83474170587358\n", + "\\item 6.94420964224872\n", + "\\item 5.48203310728248\n", + "\\item 4.21942154914008\n", + "\\item 6.0229742277487\n", + "\\item 7.07157754287358\n", + "\\item 1.77343154283059\n", + "\\item 3.50715083321606\n", + "\\item 2.07391313198933\n", + "\\item 2.82040758920655\n", + "\\item 7.46781532228021\n", + "\\item 7.71379543205664\n", + "\\item 2.45028588357838\n", + "\\item 5.62484137082455\n", + "\\item 1.95105689770206\n", + "\\item 3.92475299491227\n", + "\\item 6.74237681005232\n", + "\\item 2.55434128515114\n", + "\\item 1.18432938833526\n", + "\\item 5.61097115220819\n", + "\\item 3.68652891791432\n", + "\\item 11.0840783567612\n", + "\\item 4.99797677150499\n", + "\\item 5.21814444723457\n", + "\\item 6.23583324106685\n", + "\\item 5.27130431055053\n", + "\\item 6.96103939290087\n", + "\\item 10.5888716400625\n", + "\\item 6.21191523202077\n", + "\\item 12.680158801013\n", + "\\item 7.48125544249683\n", + "\\item 2.85729814038886\n", + "\\item 6.77951970378092\n", + "\\item 5.35925242543582\n", + "\\item 4.93832082414308\n", + "\\item 4.7983015213242\n", + "\\item 6.9255327656034\n", + "\\item 8.20985082306767\n", + "\\item 4.69241723208167\n", + "\\item 6.19049161651871\n", + "\\item 4.87474342714373\n", + "\\item 6.90074972932732\n", + "\\item 8.16840747104633\n", + "\\item 6.88292048398721\n", + "\\item 6.90813962157959\n", + "\\item 3.85262270134608\n", + "\\item 3.65271384450755\n", + "\\item 6.11042635412955\n", + "\\item 3.64743965617894\n", + "\\item 6.07156043948616\n", + "\\item 7.78020174282556\n", + "\\item 5.16756633084993\n", + "\\item 2.46526290637562\n", + "\\item 10.0887015631309\n", + "\\item 4.91647047777965\n", + "\\item 4.13023216195937\n", + "\\item 6.65924697856317\n", + "\\item 3.3440381328863\n", + "\\item 5.20149436766885\n", + "\\item 6.60341054018056\n", + "\\item 5.86056720808025\n", + "\\item 4.71292490471785\n", + "\\item 5.21187886194507\n", + "\\item 6.27010015516936\n", + "\\item 7.81660361646741\n", + "\\item 3.30439096118935\n", + "\\item 4.6955974278413\n", + "\\item 0.675380896501148\n", + "\\item 1.87456179823883\n", + "\\item 3.9376412298112\n", + "\\item 5.97024495129472\n", + "\\item 2.95738279080716\n", + "\\item 5.68780824208237\n", + "\\item 2.91105758818812\n", + "\\item 6.75363240550639\n", + "\\item 7.44550050430656\n", + "\\item 5.20443748556673\n", + "\\item 5.09724143431396\n", + "\\item 0.823512816122794\n", + "\\item 5.73764165722466\n", + "\\item 4.70355176226342\n", + "\\item 2.23795976094898\n", + "\\item 8.87864050462024\n", + "\\item 4.45889577999623\n", + "\\item 2.60677467468926\n", + "\\item 6.02489495444096\n", + "\\item 3.58529000027129\n", + "\\item 0.749129760466896\n", + "\\item 3.93932178813605\n", + "\\item 6.98430994446503\n", + "\\item 5.22574723937736\n", + "\\item 4.88831217302942\n", + "\\item 6.50425884158328\n", + "\\item 6.17042620249535\n", + "\\item 5.9466393116617\n", + "\\item 6.4237776184202\n", + "\\item 5.7424014185065\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 6.8181135328349\n", + "\\item 0.599447025862405\n", + "\\item 2.02724714668589\n", + "\\item 4.64652537235674\n", + "\\item 2.39104366114642\n", + "\\item 1.42784841300165\n", + "\\item 7.75892633445186\n", + "\\item 9.57059078448963\n", + "\\item 4.26422533168048\n", + "\\item 2.8481446877884\n", + "\\item 9.96882537107319\n", + "\\item 5.86750365952473\n", + "\\item 1.68394522647694\n", + "\\item 6.37400145094986\n", + "\\item 2.93156555482752\n", + "\\item 9.116889958773\n", + "\\item 8.34272379697601\n", + "\\item 7.73477060510026\n", + "\\item 5.89819144323078\n", + "\\item 4.49993342597769\n", + "\\item 2.73701427983934\n", + "\\item 5.41474773524301\n", + "\\item 4.18645653179757\n", + "\\item 1.40831501404066\n", + "\\item 6.71376245142475\n", + "\\item 7.0247770428879\n", + "\\item 6.67500117402476\n", + "\\item 5.06020860458108\n", + "\\item 4.18295155339672\n", + "\\item 7.70364516025325\n", + "\\item 9.22456744846766\n", + "\\item 2.25507409783915\n", + "\\item 1.07751421216755\n", + "\\item 2.02605001512613\n", + "\\item 1.74064877587838\n", + "\\item 7.59653428593958\n", + "\\item 6.41577221746165\n", + "\\item 2.39043408378483\n", + "\\item 3.82064296644329\n", + "\\item 1.81414922042916\n", + "\\item 5.55359826818387\n", + "\\item 3.63620306974963\n", + "\\item 2.09764319190662\n", + "\\item 6.15909055199962\n", + "\\item 3.13093270598125\n", + "\\item 3.82546386783375\n", + "\\item 4.90767527315398\n", + "\\item 2.31931072120912\n", + "\\item 4.35812655530916\n", + "\\item 2.67713791931084\n", + "\\item 4.83361048137949\n", + "\\item 1.79120353765539\n", + "\\item 2.46715667464015\n", + "\\item 2.1220135597847\n", + "\\item 6.07841432214723\n", + "\\item 3.58915030158796\n", + "\\item 6.81931861257266\n", + "\\item 2.90278236419624\n", + "\\item 3.16858962275433\n", + "\\item 4.04509224276524\n", + "\\item 5.20064452468261\n", + "\\item 4.92531242553217\n", + "\\item 4.51491772635426\n", + "\\item 2.05617945409153\n", + "\\item 4.36332594616332\n", + "\\item 2.01610330755073\n", + "\\item 6.12341903458261\n", + "\\item 5.50993891542999\n", + "\\item 6.71883376747058\n", + "\\item 9.03267029534923\n", + "\\item 2.55894813093934\n", + "\\item 5.06086139571552\n", + "\\item 5.61059019165573\n", + "\\item 2.88753177180559\n", + "\\item 2.3106482306657\n", + "\\item 1.1156997848091\n", + "\\item 4.1751726625053\n", + "\\item 7.50361890123337\n", + "\\item 4.24048488012155\n", + "\\item 1.49057988660367\n", + "\\item 4.20472006351786\n", + "\\item 5.43841594389608\n", + "\\item 4.34592423793983\n", + "\\item 7.44768963054582\n", + "\\item 3.51475623001232\n", + "\\item 2.65073630850286\n", + "\\item 2.83618912582246\n", + "\\item 7.65004224576175\n", + "\\item 5.56464320925923\n", + "\\item 3.28239781275252\n", + "\\item 3.63372206386983\n", + "\\item 3.0710756840985\n", + "\\item 7.95021019082563\n", + "\\item 8.88494506196684\n", + "\\item 6.56831400056357\n", + "\\item 1.35307282453719\n", + "\\item 4.66938330739325\n", + "\\item 5.86907283470642\n", + "\\item 5.37567369645952\n", + "\\item 8.01804666918122\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 1.46310058216524\n", + "\\item 2.86022218385711\n", + "\\item 1.3009135595411\n", + "\\item 4.09875638487247\n", + "\\item 6.08558248052397\n", + "\\item 9.30173876934994\n", + "\\item 2.71029972562827\n", + "\\item 2.64934629312197\n", + "\\item 3.73130294678399\n", + "\\item 4.80712386201323\n", + "\\item 7.98710783735704\n", + "\\item 7.1875424503882\n", + "\\item 2.40405699021114\n", + "\\item 4.75330588155319\n", + "\\item 7.24265459180155\n", + "\\item 4.53971083042922\n", + "\\item 3.39787016381178\n", + "\\item 2.17510590691325\n", + "\\item 3.82476933963144\n", + "\\item 4.38739736722219\n", + "\\item 5.93834853373491\n", + "\\item 7.78046188820784\n", + "\\item 6.46737280754567\n", + "\\item 8.23981286523033\n", + "\\item 1.0283984311383\n", + "\\item 1.44975083674323\n", + "\\item 2.06045186528873\n", + "\\item 4.6340668682703\n", + "\\item 4.57825845347488\n", + "\\item 4.07007776586236\n", + "\\item 4.63268404158456\n", + "\\item 3.41681952435054\n", + "\\item 2.56392677127545\n", + "\\item 3.92784468560447\n", + "\\item 5.82997094097423\n", + "\\item 5.2073225708705\n", + "\\item 5.07602207200034\n", + "\\item 3.98935945192803\n", + "\\item 6.07536864722829\n", + "\\item 8.11958345371618\n", + "\\item 1.61224420380254\n", + "\\item 3.18283926537063\n", + "\\item 7.9052012129807\n", + "\\item 1.05989155275972\n", + "\\item 5.44092499011601\n", + "\\item 4.15988268690711\n", + "\\item 1.35789583472492\n", + "\\item 1.27648150828073\n", + "\\item 1.63143145593274\n", + "\\item 4.3030045037258\n", + "\\item 6.60136805143209\n", + "\\item 7.58590248798881\n", + "\\item 4.95662253233082\n", + "\\item 6.58939884358995\n", + "\\item 1.06429800945341\n", + "\\item 7.03382859138555\n", + "\\item 7.14432499337881\n", + "\\item 8.23479314386192\n", + "\\item 3.44707550616757\n", + "\\item 3.78590004785117\n", + "\\item 3.3222373838239\n", + "\\item 8.83422741540236\n", + "\\item 5.62399941151989\n", + "\\item 6.37245885585549\n", + "\\item 7.33375986037099\n", + "\\item 7.98871705955275\n", + "\\item 3.73897547660158\n", + "\\item 5.17295217065997\n", + "\\item 4.48021045462924\n", + "\\item 6.82371226371277\n", + "\\item 4.54116890408709\n", + "\\item 3.465207291075\n", + "\\item 1.43890238483561\n", + "\\item 5.37896759673892\n", + "\\item 10.0152124526993\n", + "\\item 3.72405954618661\n", + "\\item 8.03543332177993\n", + "\\item 8.38769685982393\n", + "\\item 6.19731676744166\n", + "\\item 4.17180050606941\n", + "\\item 5.4886400044317\n", + "\\item 4.63332004722092\n", + "\\item 2.3090388292845\n", + "\\item 6.34105490097068\n", + "\\item 5.94855197702479\n", + "\\item 7.07020293122206\n", + "\\item 2.78580749110857\n", + "\\item 7.54992470923855\n", + "\\item 7.00416337671845\n", + "\\item 4.32437487138433\n", + "\\item 6.16655790313069\n", + "\\item 8.22242543899247\n", + "\\item 5.34485851339475\n", + "\\item 7.04919065655634\n", + "\\item 5.68404167174004\n", + "\\item 7.24553883824564\n", + "\\item 1.69742192839798\n", + "\\item 8.53502098148406\n", + "\\item 4.66884402446126\n", + "\\item 3.95511693446582\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 3.7363143954868\n", + "\\item 7.97107674957998\n", + "\\item 5.15257358372163\n", + "\\item 5.63116102896095\n", + "\\item 7.50409957177749\n", + "\\item 1.83213998246193\n", + "\\item 4.40435629056393\n", + "\\item 7.25793853378286\n", + "\\item 2.81972468008538\n", + "\\item 6.59957918955191\n", + "\\item 2.39513576365287\n", + "\\item 1.77695747077261\n", + "\\item 5.3508842914468\n", + "\\item 6.62724176199913\n", + "\\item 3.43982544661054\n", + "\\item 5.33776266583557\n", + "\\item 6.80733034587167\n", + "\\item 6.46827627201454\n", + "\\item 4.49620537224271\n", + "\\item 8.17594694305355\n", + "\\item 4.94725157396657\n", + "\\item 2.90898186732826\n", + "\\item 7.58984964467443\n", + "\\item 9.23822313081367\n", + "\\item 7.1461993706877\n", + "\\item 2.52171527654\n", + "\\item 6.84589099455287\n", + "\\item 6.4192411877607\n", + "\\item 7.94322082170006\n", + "\\item 4.27425955847369\n", + "\\item 3.43383864165851\n", + "\\item 6.5259066555707\n", + "\\item 6.62337135170264\n", + "\\item 8.6379304530521\n", + "\\item 8.10233560697275\n", + "\\item 5.42604342414676\n", + "\\item 9.15327214945623\n", + "\\item 6.47912521108015\n", + "\\item 1.99878263266564\n", + "\\item 1.95573327336551\n", + "\\item 6.48026150582018\n", + "\\item 8.74907756621742\n", + "\\item 8.50538778109235\n", + "\\item 3.70879378315044\n", + "\\item 3.08364968072355\n", + "\\item 6.31124241317451\n", + "\\item 2.71481150522669\n", + "\\item 6.5713110791879\n", + "\\item 4.84381754484278\n", + "\\item 4.08849662449709\n", + "\\item 2.70885305198041\n", + "\\item 8.19381897141003\n", + "\\item 8.21958620973791\n", + "\\item 6.90980009754636\n", + "\\item 3.48582729138755\n", + "\\item 11.0810474031697\n", + "\\item 5.08891910932744\n", + "\\item 5.88417372842211\n", + "\\item 7.48989523210341\n", + "\\item 5.43242730509884\n", + "\\item 5.1174013033423\n", + "\\item 4.252497890468\n", + "\\item 3.06169968696257\n", + "\\item 4.50536447304479\n", + "\\item 5.28544380765808\n", + "\\item 9.05563560612052\n", + "\\item 6.6758125858973\n", + "\\item 3.66762305354134\n", + "\\item 4.08379635573314\n", + "\\item 5.17965290839755\n", + "\\item 5.05326109749298\n", + "\\item 6.26041352213722\n", + "\\item 8.79898332554671\n", + "\\item 5.77816870595164\n", + "\\item 5.83118684696078\n", + "\\item 6.81471137122467\n", + "\\item 3.70357275956797\n", + "\\item 4.608605529441\n", + "\\item 8.11724734027443\n", + "\\item 5.57040058039571\n", + "\\item 5.67042141363465\n", + "\\item 6.09871327293125\n", + "\\item 6.51338181326212\n", + "\\item 5.17665742267174\n", + "\\item 4.20944267385126\n", + "\\item 8.76848045277575\n", + "\\item 8.14873458266026\n", + "\\item 8.00378098817048\n", + "\\item 6.82441542471926\n", + "\\item 4.76709602714383\n", + "\\item 2.24097117271097\n", + "\\item 3.05423806489674\n", + "\\item 2.98942906456584\n", + "\\item 6.46709365400559\n", + "\\item 5.69936146854564\n", + "\\item 8.94227024764924\n", + "\\item 9.34399480689065\n", + "\\item 9.62083641807913\n", + "\\item 1.97149111450797\n", + "\\item 8.77959951213558\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 4.44573759997412\n", + "\\item 5.40702256854832\n", + "\\item 1.47626013080473\n", + "\\item 5.63331360271463\n", + "\\item 4.39657788966882\n", + "\\item 4.29704145779677\n", + "\\item 7.23408312513799\n", + "\\item 1.52859518461238\n", + "\\item 4.98895747584276\n", + "\\item 4.81765900701022\n", + "\\item 3.84473348041043\n", + "\\item 3.56940423456483\n", + "\\item 6.38889757963418\n", + "\\item 2.34632728732772\n", + "\\item 4.22108418131488\n", + "\\item 0.901532322679313\n", + "\\item 6.37638119630144\n", + "\\item 5.31815257631018\n", + "\\item 5.25843520055229\n", + "\\item 4.74804050083517\n", + "\\item 8.77362302992707\n", + "\\item 5.30981087604715\n", + "\\item 4.14883688571683\n", + "\\item 6.28422416399458\n", + "\\item 4.6257156158178\n", + "\\item 2.79305797215\n", + "\\item 4.16865064097103\n", + "\\item 4.21778587241641\n", + "\\item 4.99337696568919\n", + "\\item 7.44398810214784\n", + "\\item 3.48287375766818\n", + "\\item 2.31442987000856\n", + "\\item 5.72401404295532\n", + "\\item 7.20080332317263\n", + "\\item 2.26360794649956\n", + "\\item 5.83273701662213\n", + "\\item 4.46474300126244\n", + "\\item 4.45414949242787\n", + "\\item 6.49847527270632\n", + "\\item 1.37323059297615\n", + "\\item 1.71770629783264\n", + "\\item 3.87578197254796\n", + "\\item 1.98650506250663\n", + "\\item 2.25834300507938\n", + "\\item 6.83016707127591\n", + "\\item 3.7243355991102\n", + "\\item 5.93692637361742\n", + "\\item 5.85788974430739\n", + "\\item 4.85477175443799\n", + "\\item 3.96904475358644\n", + "\\item 5.27620436030666\n", + "\\item 3.67012835196727\n", + "\\item 4.93439945872826\n", + "\\item 1.43443922207948\n", + "\\item 4.48883249176468\n", + "\\item 2.35032317750589\n", + "\\item 6.42889879145277\n", + "\\item 6.17231944384909\n", + "\\item 3.48881994051896\n", + "\\item 5.89614920282237\n", + "\\item 5.93189678948328\n", + "\\item 4.56158831743765\n", + "\\item 4.22968670076663\n", + "\\item 3.21654834896943\n", + "\\item 6.85376228082689\n", + "\\item 4.0860940217977\n", + "\\item 3.21891782869067\n", + "\\item 1.83995391058189\n", + "\\item 5.01978931685563\n", + "\\item 3.72342214596501\n", + "\\item 2.15579593663843\n", + "\\item 4.61793858779678\n", + "\\item 5.4736971582834\n", + "\\item 7.79243125828052\n", + "\\item 5.27894628108995\n", + "\\item 7.14274035392987\n", + "\\item 6.5637644849266\n", + "\\item 5.58383967275682\n", + "\\item 1.97224524578651\n", + "\\item 2.17284859773381\n", + "\\item 2.16376780038621\n", + "\\item 4.32762415279855\n", + "\\item 8.93922907069382\n", + "\\item 1.91350262492198\n", + "\\item 3.42916422807471\n", + "\\item 2.53198459451211\n", + "\\item 0.638525147606676\n", + "\\item 2.75949472748885\n", + "\\item 8.61447487063202\n", + "\\item 4.50018546998246\n", + "\\item 5.55000229619083\n", + "\\item 2.33778729222801\n", + "\\item 6.17869678196718\n", + "\\item 5.10932386938843\n", + "\\item 4.502474936825\n", + "\\item 5.91197335844616\n", + "\\item 7.1431111722072\n", + "\\item 1.91204885135727\n", + "\\item 3.9393414961852\n", + "\\item 6.49385895659825\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 2.14342701661529\n", + "\\item 6.3970497327381\n", + "\\item 9.55173056890579\n", + "\\item 4.41518242479185\n", + "\\item 2.17208784250829\n", + "\\item 1.15768771923897\n", + "\\item 2.37750456389177\n", + "\\item 4.21865672701338\n", + "\\item 5.22429575501391\n", + "\\item 1.4606771519445\n", + "\\item 11.6949314613333\n", + "\\item 3.4436256721707\n", + "\\item 6.90587437024412\n", + "\\item 2.64194127390682\n", + "\\item 6.91903029412973\n", + "\\item 1.61403793494409\n", + "\\item 4.34116350714756\n", + "\\item 2.44564879958173\n", + "\\item 7.48899789029216\n", + "\\item 7.53200992407977\n", + "\\item 6.39438914668425\n", + "\\item 1.64716388577432\n", + "\\item 4.82617496795041\n", + "\\item 1.8770811053107\n", + "\\item 1.44714894904585\n", + "\\item 6.31659198924571\n", + "\\item 4.88638198107492\n", + "\\item 8.37519128876231\n", + "\\item 8.05859525979045\n", + "\\item 5.89407976964424\n", + "\\item 7.9375229397696\n", + "\\item 6.44523373249024\n", + "\\item 8.28808890102814\n", + "\\item 13.1849407809757\n", + "\\item 3.93187667441698\n", + "\\item 2.05238814946508\n", + "\\item 5.14317953593433\n", + "\\item 1.46327916908327\n", + "\\item 0.826572211236569\n", + "\\item 0.618368148599459\n", + "\\item 3.73250953477943\n", + "\\item 2.14892434830064\n", + "\\item 1.40874351072056\n", + "\\item 3.75111590054954\n", + "\\item 1.51593921526712\n", + "\\item 0.625434103331985\n", + "\\item 3.11267884855662\n", + "\\item 7.29764058140757\n", + "\\item 4.01105134267083\n", + "\\item 6.27692339383445\n", + "\\item 2.01343394080398\n", + "\\item 5.53439481830898\n", + "\\item 2.94726427409392\n", + "\\item 2.37395658106814\n", + "\\item 5.11400146634826\n", + "\\item 3.6827471135617\n", + "\\item 6.60563725894374\n", + "\\item 5.11776739226376\n", + "\\item 4.99925209070633\n", + "\\item 5.65779944366004\n", + "\\item 2.85448175193555\n", + "\\item 5.90426934856698\n", + "\\item 5.44734817776023\n", + "\\item 4.25330216336165\n", + "\\item 4.77258198316229\n", + "\\item 7.10930315065136\n", + "\\item 8.33484672521262\n", + "\\item 4.69155532319955\n", + "\\item 7.53397053176733\n", + "\\item 1.05166909995143\n", + "\\item 11.3583591366271\n", + "\\item 4.02324198861548\n", + "\\item 1.40577147551539\n", + "\\item 2.13919522049059\n", + "\\item 10.685413072923\n", + "\\item 1.98551492447795\n", + "\\item 6.3151375128818\n", + "\\item 4.11062216783545\n", + "\\item 6.84946236527941\n", + "\\item 3.71271612244497\n", + "\\item 3.27749038033578\n", + "\\item 1.50625313742469\n", + "\\item 4.71662979399169\n", + "\\item 6.15926292824402\n", + "\\item 1.77144631793921\n", + "\\item 6.85291830518135\n", + "\\item 7.64658737756586\n", + "\\item 4.73975747682277\n", + "\\item 7.89210365476082\n", + "\\item 9.7159048067218\n", + "\\item 5.07934021434514\n", + "\\item 1.22994295300279\n", + "\\item 7.77369192840245\n", + "\\item 3.15597707149204\n", + "\\item 6.59413598353261\n", + "\\item 7.82252716810622\n", + "\\item 2.6458470248106\n", + "\\item 2.12413638040179\n", + "\\item 6.72228952125879\n", + "\\item 5.11783388887748\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 1.66661775150594\n", + "\\item 3.51290631079647\n", + "\\item 1.11899805235924\n", + "\\item 7.2824930755079\n", + "\\item 3.82410488519548\n", + "\\item 1.98303119790165\n", + "\\item 7.92952864141891\n", + "\\item 2.1701134461328\n", + "\\item 10.3183854925972\n", + "\\item 1.75661447599234\n", + "\\item 3.59656742902212\n", + "\\item 5.1423743875415\n", + "\\item 8.69853855786342\n", + "\\item 11.6309274330588\n", + "\\item 1.17790333771614\n", + "\\item 5.67556116512662\n", + "\\item 7.93310060863642\n", + "\\item 8.48655795306775\n", + "\\item 0.914685051271025\n", + "\\item 0.798921708563438\n", + "\\item 7.03812457207887\n", + "\\item 1.38678835277507\n", + "\\item 3.48280976030118\n", + "\\item 4.5959505926748\n", + "\\item 3.96072066216807\n", + "\\item 6.5634602523485\n", + "\\item 1.1536579532249\n", + "\\item 8.47774332444975\n", + "\\item 5.98894683307323\n", + "\\item 9.17327529420458\n", + "\\item 1.23704829097086\n", + "\\item 4.52477710459844\n", + "\\item 0.986550654573932\n", + "\\item 4.09679982513295\n", + "\\item 3.16212206799784\n", + "\\item 1.35120407261272\n", + "\\item 2.27797403883127\n", + "\\item 5.76329523471552\n", + "\\item 5.43391974459998\n", + "\\item 9.33940280389176\n", + "\\item 3.38172857599084\n", + "\\item 1.51715776597393\n", + "\\item 1.03192634329214\n", + "\\item 0.76744528355239\n", + "\\item 3.79044137516953\n", + "\\item 3.40098195095008\n", + "\\item 8.47856198981554\n", + "\\item 5.11515642222309\n", + "\\item 8.07212100793073\n", + "\\item 1.02877890824651\n", + "\\item 6.01815055323356\n", + "\\item 1.3596609485333\n", + "\\item 4.66763527222765\n", + "\\item 1.47702012400562\n", + "\\item 1.30732039360149\n", + "\\item 1.24446547411927\n", + "\\item 4.17548332931311\n", + "\\item 1.78876749017121\n", + "\\item 9.49917676851923\n", + "\\item 1.00315327363425\n", + "\\item 2.34219268831405\n", + "\\item 1.39143050891201\n", + "\\item 6.33312481812324\n", + "\\item 1.9347880369137\n", + "\\item 7.18805686755654\n", + "\\item 2.427611258724\n", + "\\item 9.13099863014061\n", + "\\item 1.1239103938594\n", + "\\item 3.77328723220969\n", + "\\item 5.31221120134184\n", + "\\item 8.68525026578386\n", + "\\item 1.63336625208086\n", + "\\item 1.10349911395085\n", + "\\item 5.38668982785798\n", + "\\item 1.16648409818056\n", + "\\item 0.738378205690694\n", + "\\item 4.77913738011433\n", + "\\item 6.225593667026\n", + "\\item 7.74508680791181\n", + "\\item 1.12584983745217\n", + "\\item 1.76302502383472\n", + "\\item 4.93165734171116\n", + "\\item 1.37960030742681\n", + "\\item 6.37967858433325\n", + "\\item 2.61831426694477\n", + "\\item 1.71490269994145\n", + "\\item 4.09247665706896\n", + "\\item 7.79468885209342\n", + "\\item 0.967838171724547\n", + "\\item 4.74649214317364\n", + "\\item 8.96294107939315\n", + "\\item 1.7829792609052\n", + "\\item 3.74641964881568\n", + "\\item 2.9587477722163\n", + "\\item 2.53594699499802\n", + "\\item 4.91768524090689\n", + "\\item 5.14183498284891\n", + "\\item 5.6855733761053\n", + "\\item 7.22832095600838\n", + "\\item 5.83709110527636\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 2.8659978471178\n", + "\\item 6.11439402983986\n", + "\\item 5.07495116566086\n", + "\\item 3.91983568931388\n", + "\\item 7.96331538030597\n", + "\\item 5.05043605022813\n", + "\\item 7.11579447929148\n", + "\\item 7.14564837551628\n", + "\\item 5.13801481675435\n", + "\\item 8.28625608280362\n", + "\\item 8.11221245874115\n", + "\\item 2.47770616683048\n", + "\\item 9.4203409490039\n", + "\\item 5.4716954077414\n", + "\\item 5.43900712251864\n", + "\\item 7.70496103797732\n", + "\\item 7.07869178031433\n", + "\\item 10.3176220738533\n", + "\\item 5.8985548736426\n", + "\\item 3.69356119568217\n", + "\\item 8.43587594304584\n", + "\\item 7.59422553593548\n", + "\\item 7.858155393021\n", + "\\item 12.1375117277225\n", + "\\item 1.54448597979878\n", + "\\item 3.58064083787762\n", + "\\item 5.29252737306601\n", + "\\item 10.1063597196262\n", + "\\item 8.82674519472388\n", + "\\item 7.88903832149005\n", + "\\item 4.21819008254381\n", + "\\item 1.99104801843503\n", + "\\item 5.3563716849545\n", + "\\item 7.75534702733482\n", + "\\item 6.18533164508601\n", + "\\item 6.35211465346884\n", + "\\item 4.05518962260218\n", + "\\item 9.02227524473069\n", + "\\item 4.61066876159948\n", + "\\item 5.45281257094742\n", + "\\item 3.06480871627259\n", + "\\item 1.11189460463274\n", + "\\item 9.23820282850272\n", + "\\item 1.84177090788202\n", + "\\item 3.14794854700811\n", + "\\item 7.2014090430923\n", + "\\item 6.57789809359243\n", + "\\item 7.13504273641723\n", + "\\item 2.23267304169924\n", + "\\item 8.99097407451996\n", + "\\item 1.7227301767612\n", + "\\item 6.07018327193363\n", + "\\item 5.35916658033405\n", + "\\item 9.5000975800132\n", + "\\item 5.47056749301282\n", + "\\item 6.16211197108809\n", + "\\item 1.17353841408067\n", + "\\item 2.99269102530517\n", + "\\item 6.44131510402032\n", + "\\item 1.07537352661211\n", + "\\item 4.82545360829178\n", + "\\item 7.5911046944608\n", + "\\item 11.1215711026168\n", + "\\item 7.3080316077967\n", + "\\item 5.41447842535223\n", + "\\item 4.83373814982619\n", + "\\item 4.21975545803353\n", + "\\item 8.68748656159984\n", + "\\item 4.85915992101648\n", + "\\item 5.79143996099193\n", + "\\item 4.67979904387169\n", + "\\item 10.4591112448786\n", + "\\item 7.09235448152778\n", + "\\item 12.350595227348\n", + "\\item 6.31164894551608\n", + "\\item 6.27836451779799\n", + "\\item 6.78238597329589\n", + "\\item 6.41468220149285\n", + "\\item 4.51740112303926\n", + "\\item 7.20273460958118\n", + "\\item 10.0346724316935\n", + "\\item 3.4252537306383\n", + "\\item 1.80068668536893\n", + "\\item 9.4625260674129\n", + "\\item 4.37739640934315\n", + "\\item 4.44245610455965\n", + "\\item 8.56753824110145\n", + "\\item 7.08561550976748\n", + "\\item 5.00609391497844\n", + "\\item 3.84652691288615\n", + "\\item 3.73034730037369\n", + "\\item 5.96109310214449\n", + "\\item 4.04291058800325\n", + "\\item 11.8398850097781\n", + "\\item 6.09748034628734\n", + "\\item 3.32090044090039\n", + "\\item 8.20575953041127\n", + "\\item 5.89464441364333\n", + "\\item 4.4231422805023\n", + "\\item 8.79726646196927\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 1.87448409432733\n", + "\\item 8.38989643221081\n", + "\\item 1.64915499298577\n", + "\\item 2.35996598018091\n", + "\\item 2.90959604341973\n", + "\\item 4.23798701779922\n", + "\\item 3.48301339971148\n", + "\\item 2.07796569645838\n", + "\\item 7.97848618098669\n", + "\\item 1.15217572677735\n", + "\\item 1.27706192245387\n", + "\\item 2.51565725310297\n", + "\\item 3.89058536423422\n", + "\\item 4.43721178248965\n", + "\\item 1.88456091885011\n", + "\\item 5.53395102525687\n", + "\\item 5.60971872793345\n", + "\\item 3.18499182169185\n", + "\\item 6.47217663118086\n", + "\\item 4.4887581142138\n", + "\\item 4.98790853018703\n", + "\\item 2.99617057712366\n", + "\\item 1.62543120245627\n", + "\\item 5.43597299939946\n", + "\\item 6.29400842962452\n", + "\\item 4.64662767512684\n", + "\\item 4.51696453012337\n", + "\\item 5.01479105642062\n", + "\\item 3.42271177920257\n", + "\\item 3.73491060121845\n", + "\\item 3.78313592644454\n", + "\\item 4.26521252979668\n", + "\\item 3.45664998171301\n", + "\\item 5.16525805388371\n", + "\\item 4.64017324007872\n", + "\\item 7.16702214689354\n", + "\\item 4.39708020732074\n", + "\\item 1.82419058395342\n", + "\\item 5.49437236715789\n", + "\\item 2.64589663044881\n", + "\\item 13.1401182112038\n", + "\\item 1.06426749480615\n", + "\\item 5.44445571566381\n", + "\\item 6.35080012191072\n", + "\\item 5.22513016153046\n", + "\\item 7.28012676309212\n", + "\\item 6.47997234519783\n", + "\\item 11.7723649641218\n", + "\\item 1.77012682700832\n", + "\\item 1.56729375031437\n", + "\\item 3.81583522236241\n", + "\\item 0.899940768077359\n", + "\\item 6.45059438239245\n", + "\\item 3.5499154066431\n", + "\\item 3.96502315811382\n", + "\\item 4.41588010131878\n", + "\\item 1.72212118194013\n", + "\\item 1.44747463413892\n", + "\\item 1.28083229700481\n", + "\\item 7.55992234900553\n", + "\\item 1.65881041454025\n", + "\\item 2.20830214387581\n", + "\\item 5.69682077266369\n", + "\\item 2.44177530123266\n", + "\\item 8.32080399095265\n", + "\\item 1.77397395900335\n", + "\\item 6.82697003481482\n", + "\\item 5.29821205619303\n", + "\\item 9.87257253725489\n", + "\\item 4.49284735474482\n", + "\\item 7.77885040026402\n", + "\\item 7.41988383895846\n", + "\\item 4.08697166358704\n", + "\\item 10.1243707526436\n", + "\\item 4.60099849341093\n", + "\\item 4.41385978137039\n", + "\\item 4.21544895836644\n", + "\\item 6.75272145422017\n", + "\\item 4.87563355716864\n", + "\\item 2.03419646382096\n", + "\\item 1.37256616940593\n", + "\\item 6.29614309899218\n", + "\\item 4.1296277780681\n", + "\\item 7.24299426492461\n", + "\\item 1.48927058230776\n", + "\\item 1.61139899506874\n", + "\\item 3.39082305508878\n", + "\\item 5.55629374300689\n", + "\\item 3.6835609901334\n", + "\\item 4.56367518924395\n", + "\\item 9.63554994384341\n", + "\\item 3.64981848705697\n", + "\\item 4.25510949334\n", + "\\item 4.22679103253348\n", + "\\item 6.95979977370664\n", + "\\item 1.69922627261801\n", + "\\item 1.73720163410881\n", + "\\item 2.97960830124829\n", + "\\item 5.50627623382225\n", + "\\item 3.7368246005426\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 5.66809238988948\n", + "\\item 1.76174569065214\n", + "\\item 3.91896460097772\n", + "\\item 4.56211332060483\n", + "\\item 3.07562412340705\n", + "\\item 6.75127597658541\n", + "\\item 3.80503410109318\n", + "\\item 6.28265799508616\n", + "\\item 5.07181577523927\n", + "\\item 4.22791157531953\n", + "\\item 4.83319015366274\n", + "\\item 3.33499826909096\n", + "\\item 5.86732755206183\n", + "\\item 8.27904738028796\n", + "\\item 5.28656005754985\n", + "\\item 5.71498853485514\n", + "\\item 1.21240760256275\n", + "\\item 4.83516012066667\n", + "\\item 6.58548265233602\n", + "\\item 7.00575779209435\n", + "\\item 3.24517351686216\n", + "\\item 2.65515623877347\n", + "\\item 3.28574767576008\n", + "\\item 5.84857065606058\n", + "\\item 6.97872165386862\n", + "\\item 6.22815043891306\n", + "\\item 4.73399039449635\n", + "\\item 3.35821582411035\n", + "\\item 4.46394915615549\n", + "\\item 6.57426801234098\n", + "\\item 2.95751649404697\n", + "\\item 2.01212534657424\n", + "\\item 4.78385372192565\n", + "\\item 3.42752646210458\n", + "\\item 3.40119903576827\n", + "\\item 4.49846637729684\n", + "\\item 3.75062582673124\n", + "\\item 5.4057927541981\n", + "\\item 7.25520038574312\n", + "\\item 2.32946868627267\n", + "\\item 4.87133279358218\n", + "\\item 5.07112940311213\n", + "\\item 8.35733189055967\n", + "\\item 1.66242241494041\n", + "\\item 6.70168541545143\n", + "\\item 7.86078190955093\n", + "\\item 2.34422883656724\n", + "\\item 3.72943253444003\n", + "\\item 1.67571695354466\n", + "\\item 5.42775648929238\n", + "\\item 7.4706474920854\n", + "\\item 3.60335601298037\n", + "\\item 5.54545543546175\n", + "\\item 2.9133231849675\n", + "\\item 6.13699030204556\n", + "\\item 5.57026517131724\n", + "\\item 6.49184780072515\n", + "\\item 3.40835238479085\n", + "\\item 0.974046472993806\n", + "\\item 4.26001720197908\n", + "\\item 6.33601401249885\n", + "\\item 4.01620628778985\n", + "\\item 2.5847777180966\n", + "\\item 0.858972078744353\n", + "\\item 6.5715740427427\n", + "\\item 5.63777202567633\n", + "\\item 4.48036280605257\n", + "\\item 3.37289607256058\n", + "\\item 6.7577655103321\n", + "\\item 6.29143900472091\n", + "\\item 6.73915338580624\n", + "\\item 7.94439503288163\n", + "\\item 4.42426620498224\n", + "\\item 3.78659864991867\n", + "\\item 2.44093364319433\n", + "\\item 6.63212206536425\n", + "\\item 3.45588054764909\n", + "\\item 5.7984405594132\n", + "\\item 2.65717192557749\n", + "\\item 2.92694520669101\n", + "\\item 7.2793218255504\n", + "\\item 3.32143451142357\n", + "\\item 4.31727359404069\n", + "\\item 1.8235999758556\n", + "\\item 3.04045452492907\n", + "\\item 3.66739333467925\n", + "\\item 5.56655003138098\n", + "\\item 4.75188398536975\n", + "\\item 4.48985835511887\n", + "\\item 4.13695392532692\n", + "\\item 4.77742584610969\n", + "\\item 2.67999591450467\n", + "\\item 3.12056490621675\n", + "\\item 7.2193224744635\n", + "\\item 7.03219756792487\n", + "\\item 3.52281135516257\n", + "\\item 6.14054875023275\n", + "\\item 5.32295246830821\n", + "\\item 8.44788543173213\n", + "\\item 3.09631522759534\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 5.41435127186712\n", + "\\item 5.49116834825408\n", + "\\item 3.39141304331405\n", + "\\item 2.19713155046025\n", + "\\item 7.02178645071143\n", + "\\item 3.33250322287156\n", + "\\item 3.76758011027411\n", + "\\item 4.68398042470656\n", + "\\item 4.41204320048217\n", + "\\item 2.73792695559336\n", + "\\item 5.21997922924642\n", + "\\item 1.3375203277451\n", + "\\item 3.1470439975494\n", + "\\item 2.27036697701823\n", + "\\item 2.3987020317361\n", + "\\item 2.53905884102553\n", + "\\item 3.00305109943597\n", + "\\item 5.54941849275023\n", + "\\item 5.08854183068147\n", + "\\item 1.65918075836145\n", + "\\item 2.94523287489372\n", + "\\item 1.31548412756242\n", + "\\item 2.84560235821455\n", + "\\item 1.03825779581153\n", + "\\item 2.01925872407085\n", + "\\item 1.54277546701909\n", + "\\item 2.56233500218431\n", + "\\item 2.12206681879828\n", + "\\item 0.646798945824959\n", + "\\item 5.2382730082964\n", + "\\item 1.34757892698612\n", + "\\item 4.25038547605613\n", + "\\item 3.45245834054575\n", + "\\item 1.31528295281534\n", + "\\item 5.16472051190016\n", + "\\item 4.34632340525329\n", + "\\item 6.21100422041754\n", + "\\item 5.37728407907106\n", + "\\item 3.87121305139416\n", + "\\item 4.3634316447876\n", + "\\item 4.89259997943065\n", + "\\item 3.3206930746015\n", + "\\item 4.76252576674138\n", + "\\item 1.41279232722152\n", + "\\item 2.70225559402602\n", + "\\item 5.14068121808769\n", + "\\item 1.47885254061438\n", + "\\item 2.57179510213603\n", + "\\item 4.94030275131633\n", + "\\item 1.71069121973919\n", + "\\item 3.24181525459646\n", + "\\item 4.43591351117539\n", + "\\item 2.59393332213923\n", + "\\item 4.85542389020223\n", + "\\item 6.29846574627197\n", + "\\item 3.26123793191132\n", + "\\item 5.19218104410878\n", + "\\item 3.45207562567349\n", + "\\item 1.6878517571465\n", + "\\item 3.17411147642654\n", + "\\item 8.1194883571289\n", + "\\item 3.09998667335163\n", + "\\item 5.43046440607988\n", + "\\item 5.49598569542791\n", + "\\item 6.32221840043244\n", + "\\item 5.9537653137668\n", + "\\item 3.33039693577786\n", + "\\item 1.24955333742441\n", + "\\item 1.54407479527502\n", + "\\item 3.35878364749199\n", + "\\item 7.41380914058177\n", + "\\item 7.35275163152332\n", + "\\item 2.13319193494933\n", + "\\item 4.61638491112566\n", + "\\item 6.11189226367182\n", + "\\item 3.91784962619168\n", + "\\item 4.04724739771775\n", + "\\item 1.52473512264158\n", + "\\item 4.87499628626516\n", + "\\item 2.12344884540382\n", + "\\item 4.64572973514897\n", + "\\item 3.06602454965013\n", + "\\item 4.11866173029755\n", + "\\item 4.34250575537231\n", + "\\item 2.91441988741054\n", + "\\item 2.79042829024234\n", + "\\item 4.87565095318012\n", + "\\item 1.33582989714082\n", + "\\item 2.3028966551965\n", + "\\item 3.34441569139686\n", + "\\item 4.75623123468724\n", + "\\item 5.32201109820859\n", + "\\item 2.74116734775544\n", + "\\item 1.70061884476999\n", + "\\item 2.44073659758545\n", + "\\item 1.8045865120562\n", + "\\item 3.06905440092727\n", + "\\item 4.72829777755551\n", + "\\item 4.29874579896363\n", + "\\item 4.82030285963763\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 4.59192763219989\n", + "\\item 4.89008805317624\n", + "\\item 0.471362570551949\n", + "\\item 5.73501565061366\n", + "\\item 6.80798430210653\n", + "\\item 7.19263663231532\n", + "\\item 2.88861237879651\n", + "\\item 8.76236955668486\n", + "\\item 6.90159903763767\n", + "\\item 3.68465167102593\n", + "\\item 5.37672240045604\n", + "\\item 2.05342900855854\n", + "\\item 1.55718843180945\n", + "\\item 7.47764098796934\n", + "\\item 5.20976261916338\n", + "\\item 1.15222561363504\n", + "\\item 1.18911501017845\n", + "\\item 1.26727100664616\n", + "\\item 6.17409839712638\n", + "\\item 3.97198288512364\n", + "\\item 6.78513700629403\n", + "\\item 1.62474981465499\n", + "\\item 7.43147664549621\n", + "\\item 6.21915793370953\n", + "\\item 3.63833007948255\n", + "\\item 2.19276713986591\n", + "\\item 5.72507329814638\n", + "\\item 1.62456408890297\n", + "\\item 1.90390191163477\n", + "\\item 2.32233248720152\n", + "\\item 4.15805128455854\n", + "\\item 4.79146471015059\n", + "\\item 1.2388887374667\n", + "\\item 3.71090971585491\n", + "\\item 1.90367610499688\n", + "\\item 6.76082149341562\n", + "\\item 4.86751702834967\n", + "\\item 9.97193168406598\n", + "\\item 6.87302172351436\n", + "\\item 7.24612091911469\n", + "\\item 7.31864703407606\n", + "\\item 6.50879093173034\n", + "\\item 5.11531688882311\n", + "\\item 1.33350250816629\n", + "\\item 4.59921430762825\n", + "\\item 4.1177497572616\n", + "\\item 0.964430157599968\n", + "\\item 4.75719864045213\n", + "\\item 1.82848896397055\n", + "\\item 2.50294807729316\n", + "\\item 3.04397339737794\n", + "\\item 6.43139801248781\n", + "\\item 8.79551068761203\n", + "\\item 1.80795408678784\n", + "\\item 4.40382110699014\n", + "\\item 5.94971218074888\n", + "\\item 2.00637673297929\n", + "\\item 4.69712901165369\n", + "\\item 4.33408721800712\n", + "\\item 2.76431772860606\n", + "\\item 3.94100042117539\n", + "\\item 2.12522486428143\n", + "\\item 1.23382369164749\n", + "\\item 2.00505448380144\n", + "\\item 4.46549106669041\n", + "\\item 6.32176905309733\n", + "\\item 6.70193746997167\n", + "\\item 5.4124295430614\n", + "\\item 3.88458792441992\n", + "\\item 1.71725635833392\n", + "\\item 3.84723358810507\n", + "\\item 4.89242078134464\n", + "\\item 6.93916566556062\n", + "\\item 0.694385996694704\n", + "\\item 3.92457428582403\n", + "\\item 5.41391665611576\n", + "\\item 0.866058386291908\n", + "\\item 5.15539937799799\n", + "\\item 4.89156941768068\n", + "\\item 4.54277024269905\n", + "\\item 4.47604593526231\n", + "\\item 6.02451588250111\n", + "\\item 6.90617178706566\n", + "\\item 5.37812196496583\n", + "\\item 4.18389456115253\n", + "\\item 8.88988852162458\n", + "\\item 4.73668536412401\n", + "\\item 2.92356213621937\n", + "\\item 5.25564316314736\n", + "\\item 2.30417001351622\n", + "\\item 5.16434631345019\n", + "\\item 1.33020522146949\n", + "\\item 1.84554971635676\n", + "\\item 6.42328007606242\n", + "\\item 4.04221601626138\n", + "\\item 6.62369115692539\n", + "\\item 4.5001417868876\n", + "\\item 1.25242111750946\n", + "\\item 3.73371457757802\n", + "\\item 7.61905685783144\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 3.49899152044488\n", + "\\item 3.41292540764704\n", + "\\item 5.62338399555076\n", + "\\item 8.71007837331506\n", + "\\item 8.3212190889567\n", + "\\item 7.44385824814559\n", + "\\item 7.11211311579767\n", + "\\item 6.93875437842439\n", + "\\item 4.00837086690818\n", + "\\item 6.04475791247327\n", + "\\item 5.07179313497675\n", + "\\item 5.71248363944745\n", + "\\item 5.54620029904397\n", + "\\item 4.72453297559083\n", + "\\item 4.79401927987597\n", + "\\item 12.6637047473539\n", + "\\item 6.20190039014298\n", + "\\item 10.7007989368061\n", + "\\item 11.5485694338459\n", + "\\item 4.63551830772041\n", + "\\item 5.83063867295431\n", + "\\item 5.58455317436848\n", + "\\item 1.59729565706855\n", + "\\item 4.42811477319318\n", + "\\item 5.00979712850279\n", + "\\item 9.03070624394595\n", + "\\item 5.84104295927963\n", + "\\item 4.60013945896351\n", + "\\item 4.37609521041852\n", + "\\item 6.24980176411682\n", + "\\item 3.94216737050649\n", + "\\item 4.42156135546465\n", + "\\item 2.80384708347656\n", + "\\item 6.87135494366873\n", + "\\item 4.50005213672535\n", + "\\item 5.67428180533582\n", + "\\item 9.41658531721494\n", + "\\item 10.9083332943471\n", + "\\item 7.50165578870991\n", + "\\item 12.150342314412\n", + "\\item 8.38994381958497\n", + "\\item 6.63056030005977\n", + "\\item 9.153386719644\n", + "\\item 6.47498760734091\n", + "\\item 2.44803961657678\n", + "\\item 5.73837606850553\n", + "\\item 8.73874934413781\n", + "\\item 5.52245630108403\n", + "\\item 6.59423408096222\n", + "\\item 8.09727634182239\n", + "\\item 5.30397907399006\n", + "\\item 4.32534410156819\n", + "\\item 7.91638127930373\n", + "\\item 6.16847535516235\n", + "\\item 4.97271977633549\n", + "\\item 6.64161212459678\n", + "\\item 6.54676098058308\n", + "\\item 7.74159314820915\n", + "\\item 3.86476094527055\n", + "\\item 8.299683424665\n", + "\\item 5.35828198371256\n", + "\\item 4.64509679735905\n", + "\\item 6.0222582234044\n", + "\\item 7.07582019560734\n", + "\\item 5.68474922906425\n", + "\\item 4.02696636606233\n", + "\\item 7.28614728575143\n", + "\\item 5.48306158408922\n", + "\\item 4.82630193110504\n", + "\\item 6.32958063117068\n", + "\\item 6.85465917748582\n", + "\\item 6.28804642904829\n", + "\\item 6.16201207441487\n", + "\\item 7.69085707354229\n", + "\\item 5.89533084897391\n", + "\\item 7.24289396484357\n", + "\\item 2.50368236809298\n", + "\\item 8.79473805663568\n", + "\\item 4.34063478333462\n", + "\\item 4.3605414594241\n", + "\\item 2.99873313706646\n", + "\\item 11.2002364837386\n", + "\\item 3.47839416902185\n", + "\\item 6.70925496161457\n", + "\\item 7.5158530839794\n", + "\\item 2.78097686956886\n", + "\\item 6.96097203680242\n", + "\\item 6.88456811274246\n", + "\\item 1.24284552236951\n", + "\\item 6.2135486071205\n", + "\\item 5.13017755635937\n", + "\\item 3.63483045596772\n", + "\\item 8.71926723528222\n", + "\\item 7.06432707011138\n", + "\\item 7.19184847239579\n", + "\\item 8.21839848816353\n", + "\\item 5.34245101193538\n", + "\\item 4.87823711455918\n", + "\\item 5.39765678847515\n", + "\\item 5.1891500822503\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 10.3071922007093\n", + "\\item 5.3063101877822\n", + "\\item 4.70183267727841\n", + "\\item 4.52541308997556\n", + "\\item 4.10477613438505\n", + "\\item 8.91792750959634\n", + "\\item 10.5658483921186\n", + "\\item 11.3662765894056\n", + "\\item 6.85429377838994\n", + "\\item 5.83432776980264\n", + "\\item 4.37227327997654\n", + "\\item 3.67878218472665\n", + "\\item 8.85277780672673\n", + "\\item 7.86903604604269\n", + "\\item 8.69280369297567\n", + "\\item 8.39462857410449\n", + "\\item 6.73402116655669\n", + "\\item 6.73704920530041\n", + "\\item 1.21068033094558\n", + "\\item 5.66362373196668\n", + "\\item 9.64204868257579\n", + "\\item 6.36737879138291\n", + "\\item 4.67654228318744\n", + "\\item 11.943534798038\n", + "\\item 6.75839521113604\n", + "\\item 4.1390714200587\n", + "\\item 4.07854974507162\n", + "\\item 5.57464986428516\n", + "\\item 12.0948709799351\n", + "\\item 3.89277925165496\n", + "\\item 4.09067942842367\n", + "\\item 5.99977866442563\n", + "\\item 2.29908473550271\n", + "\\item 6.43409722924913\n", + "\\item 2.69251625489604\n", + "\\item 5.71112903296771\n", + "\\item 5.2069113244542\n", + "\\item 3.32434550296241\n", + "\\item 8.07917493243103\n", + "\\item 1.52430642402403\n", + "\\item 2.23083261585516\n", + "\\item 11.7652083165075\n", + "\\item 9.3217322993755\n", + "\\item 5.60083758198166\n", + "\\item 8.58414389614531\n", + "\\item 6.72603354086283\n", + "\\item 5.64767006770719\n", + "\\item 5.93785664074269\n", + "\\item 1.65174696997956\n", + "\\item 2.01930803114172\n", + "\\item 5.22207746488266\n", + "\\item 9.96400875898258\n", + "\\item 4.77049585574049\n", + "\\item 1.16074484668091\n", + "\\item 7.3207934382551\n", + "\\item 4.39401850032314\n", + "\\item 10.4775104426521\n", + "\\item 4.85573018842496\n", + "\\item 2.68369839092601\n", + "\\item 12.6055572855224\n", + "\\item 5.12759329728295\n", + "\\item 8.61603498014667\n", + "\\item 12.4122611369767\n", + "\\item 7.92980861350992\n", + "\\item 0.776269306378419\n", + "\\item 7.07853983852833\n", + "\\item 7.74542166963172\n", + "\\item 4.56383544743322\n", + "\\item 4.38805534586693\n", + "\\item 10.3316906825958\n", + "\\item 7.52278986266127\n", + "\\item 1.90874872060713\n", + "\\item 4.87708234596764\n", + "\\item 7.14594846858769\n", + "\\item 3.96494546719842\n", + "\\item 5.75264990974034\n", + "\\item 9.31026242591954\n", + "\\item 6.30422529727126\n", + "\\item 9.41604074283056\n", + "\\item 1.82955043751907\n", + "\\item 1.73729775835335\n", + "\\item 6.86306958745639\n", + "\\item 5.41010595902302\n", + "\\item 4.78977922610615\n", + "\\item 6.85676966341311\n", + "\\item 4.32754814809835\n", + "\\item 6.6512202549403\n", + "\\item 5.02068435285231\n", + "\\item 2.99477206627896\n", + "\\item 4.01597601583446\n", + "\\item 5.00257081603282\n", + "\\item 4.93497268287495\n", + "\\item 7.5226571144201\n", + "\\item 4.08597809010653\n", + "\\item 1.92164090656381\n", + "\\item 1.15590953103989\n", + "\\item 6.93335721416266\n", + "\\item 7.86003595386204\n", + "\\item 3.52033534764579\n", + "\\item 1.49868562635292\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 8.21044597627482\n", + "\\item 2.12297824523086\n", + "\\item 3.27863579499007\n", + "\\item 4.66765112549241\n", + "\\item 5.24483986431313\n", + "\\item 1.44275937835187\n", + "\\item 2.79447795553269\n", + "\\item 1.17501789137443\n", + "\\item 1.87352159964041\n", + "\\item 5.95644359463787\n", + "\\item 5.93925753953988\n", + "\\item 5.84192045904392\n", + "\\item 4.722205056727\n", + "\\item 6.30066239056073\n", + "\\item 3.7430113081536\n", + "\\item 1.85299994160528\n", + "\\item 2.07169677124198\n", + "\\item 3.70881326574776\n", + "\\item 0.917946745014837\n", + "\\item 5.52149054835535\n", + "\\item 7.54152909083201\n", + "\\item 2.9466215461815\n", + "\\item 4.14728140286123\n", + "\\item 8.70101335594331\n", + "\\item 3.4157479750489\n", + "\\item 6.44046581491497\n", + "\\item 8.33053667340736\n", + "\\item 3.01107829470914\n", + "\\item 3.76427426685225\n", + "\\item 0.957049971868863\n", + "\\item 3.76244889187146\n", + "\\item 1.3740260281841\n", + "\\item 0.869740456938242\n", + "\\item 5.45522294977186\n", + "\\item 1.90766243758219\n", + "\\item 2.62707327430599\n", + "\\item 4.78462596944855\n", + "\\item 2.76236426444299\n", + "\\item 3.26032469824527\n", + "\\item 3.18316975976168\n", + "\\item 5.79459532167925\n", + "\\item 3.87816607815444\n", + "\\item 4.32109207543391\n", + "\\item 4.48349601929854\n", + "\\item 1.91047320912619\n", + "\\item 5.43112597280336\n", + "\\item 4.56584434370459\n", + "\\item 5.4422255802442\n", + "\\item 1.34114719055126\n", + "\\item 1.87519247773958\n", + "\\item 3.97894429701025\n", + "\\item 3.50907012616111\n", + "\\item 6.40170088747957\n", + "\\item 2.16200487218358\n", + "\\item 2.41904904684509\n", + "\\item 3.90227340448158\n", + "\\item 4.13303102306985\n", + "\\item 3.95310482972833\n", + "\\item 2.2205801079155\n", + "\\item 1.97186416802363\n", + "\\item 2.80661754859467\n", + "\\item 2.09617011557374\n", + "\\item 3.46614773532715\n", + "\\item 2.77247001363575\n", + "\\item 0.691767315741599\n", + "\\item 0.990422285702017\n", + "\\item 5.11251074790749\n", + "\\item 4.38366818070275\n", + "\\item 5.42926511702736\n", + "\\item 4.1380629184038\n", + "\\item 2.21954864946626\n", + "\\item 3.35592322840233\n", + "\\item 4.95357538415918\n", + "\\item 2.86440445917435\n", + "\\item 5.04224212488645\n", + "\\item 6.30276070768465\n", + "\\item 3.8431878697549\n", + "\\item 6.90917696384316\n", + "\\item 1.72399895095812\n", + "\\item 2.88837871622469\n", + "\\item 2.5957843612388\n", + "\\item 2.48530497705895\n", + "\\item 6.15397022835539\n", + "\\item 7.7788055930079\n", + "\\item 7.29281798813468\n", + "\\item 3.91619581233788\n", + "\\item 3.73503153376737\n", + "\\item 2.03403256553973\n", + "\\item 5.47765604296559\n", + "\\item 2.43271053424929\n", + "\\item 5.13472049200409\n", + "\\item 5.62649863307106\n", + "\\item 4.20956484442682\n", + "\\item 2.14304038472786\n", + "\\item 2.49224420728578\n", + "\\item 3.99172476076678\n", + "\\item 2.28770179668012\n", + "\\item 0.651653469160938\n", + "\\item 1.61613999777513\n", + "\\item 2.72718810034028\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 1.52728063230752\n", + "\\item 5.97483160653709\n", + "\\item 1.90918840867938\n", + "\\item 1.14900136536727\n", + "\\item 3.15965416925663\n", + "\\item 4.50529669509202\n", + "\\item 3.96289071364259\n", + "\\item 2.8355570183432\n", + "\\item 1.69299423410049\n", + "\\item 2.60088731475634\n", + "\\item 1.38458554770809\n", + "\\item 3.85228562912636\n", + "\\item 1.39949948276298\n", + "\\item 0.820400286849157\n", + "\\item 2.14645518185278\n", + "\\item 1.5152231779029\n", + "\\item 1.66642435042641\n", + "\\item 0.653256769314719\n", + "\\item 4.98255025882568\n", + "\\item 4.06282169948417\n", + "\\item 3.33825377057798\n", + "\\item 2.07515990376414\n", + "\\item 2.33145626674499\n", + "\\item 3.24236303928639\n", + "\\item 2.16726931920388\n", + "\\item 1.87517207853874\n", + "\\item 1.33775508542807\n", + "\\item 4.12672302682243\n", + "\\item 1.76355871408409\n", + "\\item 1.32826497675075\n", + "\\item 6.89478988596808\n", + "\\item 2.66582255787953\n", + "\\item 3.15214647684804\n", + "\\item 2.51339271813775\n", + "\\item 1.87817106900814\n", + "\\item 1.80886264580832\n", + "\\item 5.39724334368829\n", + "\\item 3.69314986082816\n", + "\\item 3.17425825212237\n", + "\\item 4.46405322944695\n", + "\\item 2.01330486417942\n", + "\\item 3.653454288117\n", + "\\item 3.96707424876612\n", + "\\item 1.23571793899211\n", + "\\item 1.41397294112023\n", + "\\item 2.61170624437497\n", + "\\item 2.68914729305486\n", + "\\item 2.95044640345538\n", + "\\item 0.896100385865284\n", + "\\item 1.84837848068978\n", + "\\item 2.92457031348393\n", + "\\item 1.13163334765896\n", + "\\item 4.26441442511001\n", + "\\item 0.614698893051866\n", + "\\item 2.8399153344506\n", + "\\item 4.00280924414672\n", + "\\item 2.80435973430342\n", + "\\item 0.855769914263772\n", + "\\item 1.53531036401578\n", + "\\item 2.94673622480871\n", + "\\item 4.01602534226976\n", + "\\item 5.49936440434312\n", + "\\item 1.59155021787539\n", + "\\item 0.84715540990711\n", + "\\item 3.28172809951164\n", + "\\item 4.92932765942865\n", + "\\item 2.52661265078964\n", + "\\item 2.85192016989325\n", + "\\item 4.357315848665\n", + "\\item 1.42454730849268\n", + "\\item 5.32096094864625\n", + "\\item 5.52641492742209\n", + "\\item 3.04325912194657\n", + "\\item 4.18821857873772\n", + "\\item 3.5513250598352\n", + "\\item 1.43460901810113\n", + "\\item 1.33409554426269\n", + "\\item 1.18716314477648\n", + "\\item 3.84126260401072\n", + "\\item 8.00445668651304\n", + "\\item 2.05599761458909\n", + "\\item 0.855961449186826\n", + "\\item 5.45810156978296\n", + "\\item 3.94624110160624\n", + "\\item 0.85913302185602\n", + "\\item 4.25839773845215\n", + "\\item 2.78989782131532\n", + "\\item 1.3387921009389\n", + "\\item 2.99187319654351\n", + "\\item 1.51083095254737\n", + "\\item 3.12524545446078\n", + "\\item 2.04520280306867\n", + "\\item 3.53260944332066\n", + "\\item 0.954417641506546\n", + "\\item 0.355178356117729\n", + "\\item 3.56800193810623\n", + "\\item 1.12597359304886\n", + "\\item 2.72894440292137\n", + "\\item 4.30416232029851\n", + "\\item 1.04040385646362\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 1.65876161271321\n", + "\\item 3.95035248623516\n", + "\\item 3.30372771953697\n", + "\\item 2.48372229290825\n", + "\\item 3.63341345075702\n", + "\\item 5.42557336698886\n", + "\\item 3.61282424041641\n", + "\\item 0.908388729239339\n", + "\\item 3.01284455205432\n", + "\\item 2.91745595377978\n", + "\\item 7.84265807058458\n", + "\\item 0.890470568074648\n", + "\\item 4.47244326200218\n", + "\\item 0.918749459178299\n", + "\\item 3.51475682480424\n", + "\\item 4.80447420447104\n", + "\\item 3.75793330910889\n", + "\\item 3.67777380888193\n", + "\\item 7.54831996181819\n", + "\\item 8.58229608752437\n", + "\\item 0.292823840761886\n", + "\\item 6.91597171608765\n", + "\\item 8.45073721750888\n", + "\\item 1.34107714875392\n", + "\\item 5.98694967561241\n", + "\\item 0.649850308837558\n", + "\\item 4.71198365688811\n", + "\\item 2.60224260636443\n", + "\\item 2.12094195355755\n", + "\\item 0.413227747843072\n", + "\\item 8.09615460767242\n", + "\\item 5.13965600473532\n", + "\\item 3.92913202455951\n", + "\\item 1.37895561893129\n", + "\\item 6.39467458446812\n", + "\\item 6.87769426392006\n", + "\\item 3.81454583200351\n", + "\\item 2.43646910708711\n", + "\\item 5.21848278278962\n", + "\\item 1.49662223361711\n", + "\\item 5.67530925491858\n", + "\\item 3.545354133528\n", + "\\item 1.88658466819946\n", + "\\item 1.09603328933333\n", + "\\item 3.06633505578029\n", + "\\item 2.04213044630717\n", + "\\item 1.70051161421517\n", + "\\item 4.71905953811289\n", + "\\item 6.97125430491842\n", + "\\item 1.43857919400928\n", + "\\item 0.467688468955949\n", + "\\item 2.85456893573221\n", + "\\item 5.28954520011325\n", + "\\item 1.24394542311255\n", + "\\item 1.56309595292984\n", + "\\item 1.80744058757313\n", + "\\item 3.1600395568936\n", + "\\item 1.40080787361991\n", + "\\item 2.80528781515528\n", + "\\item 3.43134165109711\n", + "\\item 0.599175782140382\n", + "\\item 2.16652854114757\n", + "\\item 1.51276169234599\n", + "\\item 3.51308391837692\n", + "\\item 4.01675740318575\n", + "\\item 5.51763430226747\n", + "\\item 3.61071940686636\n", + "\\item 5.92842293419647\n", + "\\item 0.927451784336212\n", + "\\item 2.46320563918407\n", + "\\item 5.31515820763075\n", + "\\item 1.19572801351915\n", + "\\item 3.39787112558058\n", + "\\item 2.11429708162785\n", + "\\item 6.76174832004662\n", + "\\item 2.15845653688021\n", + "\\item 4.14457309674835\n", + "\\item 2.06442048909623\n", + "\\item 1.98846309506375\n", + "\\item 0.777268628337927\n", + "\\item 6.15128612639781\n", + "\\item 2.08780925707219\n", + "\\item 4.08686787578281\n", + "\\item 3.02610728708192\n", + "\\item 2.3855848540531\n", + "\\item 0.957410583818816\n", + "\\item 4.53686541093175\n", + "\\item 4.80666811042195\n", + "\\item 0.472230224277693\n", + "\\item 1.00281392467647\n", + "\\item 6.17133930837118\n", + "\\item 1.3056489511072\n", + "\\item 4.48687507327418\n", + "\\item 4.90327804885658\n", + "\\item 5.97331697524552\n", + "\\item 2.98844555226502\n", + "\\item 4.03539731033953\n", + "\\item 4.63580277638197\n", + "\\item 5.10821394499273\n", + "\\item 4.88168994240796\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 1.42601607448415\n", + "\\item 3.49889438417546\n", + "\\item 1.70488396479098\n", + "\\item 1.53018094501437\n", + "\\item 1.59741962871806\n", + "\\item 2.6716509466495\n", + "\\item 1.28192461497326\n", + "\\item 0.95236029107252\n", + "\\item 8.0677823298212\n", + "\\item 1.56951653799602\n", + "\\item 1.43591397563559\n", + "\\item 0.973481432053819\n", + "\\item 4.03322929268592\n", + "\\item 1.73261572171181\n", + "\\item 2.1379543122494\n", + "\\item 4.0425797557595\n", + "\\item 1.19231149272026\n", + "\\item 0.581814770161301\n", + "\\item 1.7718069441468\n", + "\\item 3.23771453330606\n", + "\\item 8.47638612652402\n", + "\\item 1.30162047921082\n", + "\\item 3.08261692667759\n", + "\\item 4.79250897006095\n", + "\\item 0.867361425315125\n", + "\\item 1.81641486366151\n", + "\\item 2.41240443952155\n", + "\\item 5.12513493692313\n", + "\\item 1.7425093631807\n", + "\\item 3.88726685965759\n", + "\\item 0.727662328537147\n", + "\\item 8.78111275777252\n", + "\\item 4.34527709314956\n", + "\\item 1.33050456558052\n", + "\\item 4.22099886845587\n", + "\\item 2.00177693523481\n", + "\\item 5.62661897551154\n", + "\\item 1.13774571794752\n", + "\\item 6.51135205627264\n", + "\\item 6.48340667009531\n", + "\\item 1.10179811656418\n", + "\\item 1.1826968720565\n", + "\\item 1.49949627195\n", + "\\item 2.57277851750029\n", + "\\item 4.95959889964277\n", + "\\item 2.55784925971987\n", + "\\item 1.00765396782246\n", + "\\item 7.47614834907433\n", + "\\item 1.62428069719849\n", + "\\item 4.96996138458567\n", + "\\item 5.66437913068671\n", + "\\item 4.51140016340707\n", + "\\item 9.68608875883639\n", + "\\item 0.850631334846571\n", + "\\item 6.62922929391716\n", + "\\item 4.53263596804823\n", + "\\item 5.38560543732358\n", + "\\item 5.34550633042158\n", + "\\item 0.550307108485582\n", + "\\item 6.19658803490635\n", + "\\item 3.53900033343359\n", + "\\item 0.691477647081637\n", + "\\item 4.16178850017434\n", + "\\item 4.31302694489974\n", + "\\item 2.39703913491394\n", + "\\item 5.0613911999598\n", + "\\item 1.09575320162819\n", + "\\item 4.24233004962265\n", + "\\item 1.59520531929055\n", + "\\item 4.30625257175589\n", + "\\item 1.18161797088063\n", + "\\item 1.56298451880814\n", + "\\item 1.08026314186264\n", + "\\item 1.88819038943771\n", + "\\item 4.21553006023013\n", + "\\item 3.7681190530378\n", + "\\item 6.1710856019662\n", + "\\item 1.21779786570953\n", + "\\item 3.56721834774282\n", + "\\item 1.78569472127212\n", + "\\item 5.50474974241264\n", + "\\item 1.60938693940341\n", + "\\item 2.31594956041883\n", + "\\item 1.89245764603531\n", + "\\item 0.242080817299041\n", + "\\item 9.05325483497628\n", + "\\item 0.704739575539796\n", + "\\item 0.980484634821618\n", + "\\item 0.752468369109967\n", + "\\item 1.56142011358653\n", + "\\item 1.56588126210901\n", + "\\item 2.66683570255972\n", + "\\item 2.00277761582718\n", + "\\item 1.12458912223455\n", + "\\item 3.10579390157175\n", + "\\item 2.4947421848368\n", + "\\item 3.41709737993236\n", + "\\item 2.81287446642708\n", + "\\item 1.54695224974465\n", + "\\item 1.21406561148909\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 1.60935815933593\n", + "\\item 3.08941077116885\n", + "\\item 7.24482227795498\n", + "\\item 2.81599902842978\n", + "\\item 2.70362763549007\n", + "\\item 7.01876135722173\n", + "\\item 7.57939126380926\n", + "\\item 6.38367366000523\n", + "\\item 3.0003344881864\n", + "\\item 6.42690623988166\n", + "\\item 6.50193537816766\n", + "\\item 3.83197037057429\n", + "\\item 5.29504845979799\n", + "\\item 8.47882079212783\n", + "\\item 5.72198959557217\n", + "\\item 3.01065046942606\n", + "\\item 2.29167374711162\n", + "\\item 1.79033114399832\n", + "\\item 4.16277420489644\n", + "\\item 6.12952643750979\n", + "\\item 7.75675529264204\n", + "\\item 7.06382745947052\n", + "\\item 10.4967083335771\n", + "\\item 6.62966125150488\n", + "\\item 4.72341128724155\n", + "\\item 2.44401293095102\n", + "\\item 5.5009769004343\n", + "\\item 3.7449259081196\n", + "\\item 2.2181785151371\n", + "\\item 4.36931494382326\n", + "\\item 4.51213268960851\n", + "\\item 4.70991171585644\n", + "\\item 0.771225543425624\n", + "\\item 8.3956197014459\n", + "\\item 4.64204390143313\n", + "\\item 7.22588179115389\n", + "\\item 3.67465147694115\n", + "\\item 2.35319882197491\n", + "\\item 3.95412764073058\n", + "\\item 3.05557458687945\n", + "\\item 1.06136977384235\n", + "\\item 1.10414114927098\n", + "\\item 3.80671763424115\n", + "\\item 6.56593053517776\n", + "\\item 2.2859272881215\n", + "\\item 4.85772804826695\n", + "\\item 5.64204512341887\n", + "\\item 12.7028608438782\n", + "\\item 3.51021577769865\n", + "\\item 7.46964066671176\n", + "\\item 3.25146984059877\n", + "\\item 1.2238133844369\n", + "\\item 3.531368477219\n", + "\\item 2.84699390584703\n", + "\\item 6.89303000433363\n", + "\\item 1.57012484086476\n", + "\\item 3.00665567842771\n", + "\\item 5.34360045513497\n", + "\\item 5.99980284200712\n", + "\\item 3.30171381494153\n", + "\\item 4.08895948355512\n", + "\\item 1.75781270777547\n", + "\\item 6.35103639363328\n", + "\\item 3.24257103068753\n", + "\\item 6.92291666166106\n", + "\\item 5.50284481908371\n", + "\\item 5.48556056735227\n", + "\\item 6.94382419397864\n", + "\\item 7.36721485178826\n", + "\\item 6.93550679352334\n", + "\\item 4.52248077891755\n", + "\\item 4.76858869600022\n", + "\\item 6.12234358855916\n", + "\\item 4.41875965875689\n", + "\\item 6.50464718390954\n", + "\\item 7.01902343379368\n", + "\\item 3.23550518903875\n", + "\\item 6.36434520682299\n", + "\\item 3.87392079713327\n", + "\\item 3.83887953464077\n", + "\\item 5.32246872083362\n", + "\\item 7.11821586634632\n", + "\\item 6.59860168587465\n", + "\\item 3.56699469006627\n", + "\\item 5.71250451948427\n", + "\\item 5.12373980299337\n", + "\\item 5.44414360673614\n", + "\\item 1.62909947453536\n", + "\\item 4.05806162447887\n", + "\\item 9.97978155053488\n", + "\\item 7.2436415294921\n", + "\\item 3.19194272137567\n", + "\\item 7.51698274463233\n", + "\\item 4.10826842992189\n", + "\\item 7.12632098715913\n", + "\\item 2.82407767527968\n", + "\\item 2.38789120394266\n", + "\\item 5.48608991667033\n", + "\\item 4.57029952498179\n", + "\\item 4.02837925493714\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 3.96770764279359\n", + "\\item 1.84384430699302\n", + "\\item 5.98046825734285\n", + "\\item 8.53320197904113\n", + "\\item 6.68632904246098\n", + "\\item 5.47798890889999\n", + "\\item 6.00617403755337\n", + "\\item 3.98361079790153\n", + "\\item 4.49827768314385\n", + "\\item 4.2014862037749\n", + "\\item 3.5550252790245\n", + "\\item 6.15614250767957\n", + "\\item 4.94758146887726\n", + "\\item 2.52428243270082\n", + "\\item 5.77434916535954\n", + "\\item 3.05031787415905\n", + "\\item 1.13868752015668\n", + "\\item 5.61517972172943\n", + "\\item 8.68230593790517\n", + "\\item 0.678703291298057\n", + "\\item 4.10896841283879\n", + "\\item 5.14427556614728\n", + "\\item 9.10587941799841\n", + "\\item 1.32307914404684\n", + "\\item 7.0035915783559\n", + "\\item 10.7754773356547\n", + "\\item 5.39406014604606\n", + "\\item 5.30315092174131\n", + "\\item 5.68482816471271\n", + "\\item 1.30933191449467\n", + "\\item 8.22880270489307\n", + "\\item 6.91009842091787\n", + "\\item 5.08305184874442\n", + "\\item 6.63242214820741\n", + "\\item 4.60472692065068\n", + "\\item 4.58081175045854\n", + "\\item 2.21414084328352\n", + "\\item 9.39522852702098\n", + "\\item 8.02495212540278\n", + "\\item 5.59265302558327\n", + "\\item 7.36826536513434\n", + "\\item 5.3013507833267\n", + "\\item 7.02776327592195\n", + "\\item 4.35446288801403\n", + "\\item 4.30657235076332\n", + "\\item 5.85060955887689\n", + "\\item 1.43495909771081\n", + "\\item 6.16689324095368\n", + "\\item 5.03495296960499\n", + "\\item 4.24474242107463\n", + "\\item 6.35531953285994\n", + "\\item 4.81238799389056\n", + "\\item 10.1274010995922\n", + "\\item 5.79115085554201\n", + "\\item 6.07721826629059\n", + "\\item 3.14270118086398\n", + "\\item 7.92974090588387\n", + "\\item 7.32524285022624\n", + "\\item 4.92919491402353\n", + "\\item 2.33000667335463\n", + "\\item 4.58272455247033\n", + "\\item 6.65009460256774\n", + "\\item 2.78113246736193\n", + "\\item 4.55226840827928\n", + "\\item 4.69593358389311\n", + "\\item 1.8426241324105\n", + "\\item 7.04523702507912\n", + "\\item 5.23059394009454\n", + "\\item 6.65878216646572\n", + "\\item 5.50361632605121\n", + "\\item 2.63629252711034\n", + "\\item 7.13306171127312\n", + "\\item 3.51256601755333\n", + "\\item 4.44311660742017\n", + "\\item 7.62514930420877\n", + "\\item 3.45056479187019\n", + "\\item 1.26263893264647\n", + "\\item 4.20336619449977\n", + "\\item 5.68140902776034\n", + "\\item 6.81207531751672\n", + "\\item 4.13625987590658\n", + "\\item 4.78667957646099\n", + "\\item 9.70704736603664\n", + "\\item 5.72014850289554\n", + "\\item 7.0258593720656\n", + "\\item 1.98425910444351\n", + "\\item 4.48722884381986\n", + "\\item 2.57815526361112\n", + "\\item 6.37056129520436\n", + "\\item 4.0032711495133\n", + "\\item 1.75135546285519\n", + "\\item 4.31717699791286\n", + "\\item 4.49872615991751\n", + "\\item 6.2657784191532\n", + "\\item 1.98666089614979\n", + "\\item 8.18321483034216\n", + "\\item 5.76201160836943\n", + "\\item 5.5017317044667\n", + "\\item 5.59060653361817\n", + "\\item 5.49860189320369\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 3.7933829041436\n", + "\\item 7.11097433883875\n", + "\\item 5.08565956317553\n", + "\\item 3.32446636441453\n", + "\\item 3.89645811990704\n", + "\\item 5.34503555254386\n", + "\\item 2.56605817137071\n", + "\\item 5.51627287433613\n", + "\\item 4.02802248815699\n", + "\\item 4.90640247923295\n", + "\\item 7.00126387390358\n", + "\\item 5.3210692867525\n", + "\\item 1.43282033489618\n", + "\\item 4.49034006451898\n", + "\\item 5.07311667072315\n", + "\\item 3.86485129170394\n", + "\\item 3.84077005614403\n", + "\\item 4.55733188445663\n", + "\\item 4.38908039501566\n", + "\\item 4.60464042247457\n", + "\\item 3.97453039457527\n", + "\\item 3.55514375540017\n", + "\\item 3.59111479106405\n", + "\\item 3.60990910386528\n", + "\\item 2.1024841098165\n", + "\\item 6.78687979150899\n", + "\\item 2.24285535684183\n", + "\\item 3.77633849901755\n", + "\\item 4.22789692157203\n", + "\\item 4.67493561827999\n", + "\\item 2.23778782390296\n", + "\\item 4.48803541000231\n", + "\\item 3.67218761191339\n", + "\\item 2.48605351104461\n", + "\\item 3.76025210261902\n", + "\\item 2.89431461156452\n", + "\\item 2.8962800005555\n", + "\\item 6.14387303006369\n", + "\\item 2.92123244080596\n", + "\\item 3.18584911327964\n", + "\\item 2.24371642092875\n", + "\\item 3.49963736445065\n", + "\\item 1.04392264791194\n", + "\\item 5.10171859811794\n", + "\\item 3.47712696333531\n", + "\\item 2.65469662161423\n", + "\\item 4.99648844716957\n", + "\\item 4.34822002398073\n", + "\\item 4.74997292829849\n", + "\\item 6.0779673696691\n", + "\\item 4.70268979916441\n", + "\\item 2.10895707086403\n", + "\\item 7.02705416188597\n", + "\\item 4.35725651223155\n", + "\\item 3.55624217070611\n", + "\\item 2.07765572117592\n", + "\\item 2.52859305716372\n", + "\\item 3.26403170665219\n", + "\\item 5.49073012818284\n", + "\\item 3.19415565165751\n", + "\\item 3.83016887497222\n", + "\\item 7.17614065379161\n", + "\\item 5.1493001415345\n", + "\\item 1.40386176762411\n", + "\\item 1.67062061878358\n", + "\\item 2.50387129834088\n", + "\\item 2.19102898202548\n", + "\\item 5.74587472966628\n", + "\\item 2.72661030024921\n", + "\\item 3.26853993892877\n", + "\\item 3.80824023405911\n", + "\\item 5.11301632066374\n", + "\\item 5.21490490224518\n", + "\\item 2.55418901122573\n", + "\\item 5.67898212359002\n", + "\\item 1.49173906858684\n", + "\\item 1.86237612674432\n", + "\\item 3.95497717068915\n", + "\\item 5.7129189187268\n", + "\\item 5.82126062552775\n", + "\\item 1.833317828253\n", + "\\item 2.57829746913706\n", + "\\item 6.57407111389665\n", + "\\item 4.70201073112197\n", + "\\item 2.10331403344647\n", + "\\item 5.56316774452536\n", + "\\item 4.64913624129928\n", + "\\item 2.87261248799456\n", + "\\item 3.22512884557412\n", + "\\item 4.32530720035364\n", + "\\item 2.87819211373023\n", + "\\item 2.07752903145897\n", + "\\item 3.89745612684095\n", + "\\item 2.89111596889573\n", + "\\item 1.69391212752342\n", + "\\item 4.36177554239545\n", + "\\item 6.49944847516721\n", + "\\item 2.59448746851135\n", + "\\item 1.06410769736249\n", + "\\item 4.91564871216112\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 0.682213979494026\n", + "\\item 5.60899816242478\n", + "\\item 1.31241309822834\n", + "\\item 2.18149309060167\n", + "\\item 4.22635552227671\n", + "\\item 3.97797210902308\n", + "\\item 3.68768480085598\n", + "\\item 1.67450390172749\n", + "\\item 2.39863974823891\n", + "\\item 3.21004440789013\n", + "\\item 2.39697532248729\n", + "\\item 6.19127924822461\n", + "\\item 1.11696379129291\n", + "\\item 2.26279959804361\n", + "\\item 1.97907366027882\n", + "\\item 1.29182641035932\n", + "\\item 4.30542958470572\n", + "\\item 1.17522806549358\n", + "\\item 3.28544977875144\n", + "\\item 3.79497281222645\n", + "\\item 1.26829209432131\n", + "\\item 0.770329678909796\n", + "\\item 2.4822583527249\n", + "\\item 3.24773092680064\n", + "\\item 3.96897148037334\n", + "\\item 1.89312446755669\n", + "\\item 1.23423149461436\n", + "\\item 2.32492968337474\n", + "\\item 1.38266351981445\n", + "\\item 1.73978005096357\n", + "\\item 2.01921172758299\n", + "\\item 2.12858588198506\n", + "\\item 1.7572522072009\n", + "\\item 2.92384101278737\n", + "\\item 2.28185314884828\n", + "\\item 2.79087687841961\n", + "\\item 2.21214515416281\n", + "\\item 6.58839684283952\n", + "\\item 3.87376411226761\n", + "\\item 2.05665537309651\n", + "\\item 4.0078467830082\n", + "\\item 3.05863934048795\n", + "\\item 4.25356635297312\n", + "\\item 3.70785083445082\n", + "\\item 2.93315625166136\n", + "\\item 1.43597873075997\n", + "\\item 1.83712340347003\n", + "\\item 1.10777237125187\n", + "\\item 4.44863028673394\n", + "\\item 3.01700982034357\n", + "\\item 2.3113005552686\n", + "\\item 2.35184844488368\n", + "\\item 3.93683507808506\n", + "\\item 2.50473805351577\n", + "\\item 2.85231975079154\n", + "\\item 1.83640657891441\n", + "\\item 1.89965451103241\n", + "\\item 2.02961669624199\n", + "\\item 2.5019031028902\n", + "\\item 1.46624501953432\n", + "\\item 3.07005293188619\n", + "\\item 1.69132901690944\n", + "\\item 2.28052913905126\n", + "\\item 2.29198438800531\n", + "\\item 5.1996014447257\n", + "\\item 1.20167312492674\n", + "\\item 2.97559833424831\n", + "\\item 6.45115405209848\n", + "\\item 2.50881939168588\n", + "\\item 2.33537764181492\n", + "\\item 2.22069826130878\n", + "\\item 3.49594491513486\n", + "\\item 1.68424426946995\n", + "\\item 3.14609124137652\n", + "\\item 2.0950435430721\n", + "\\item 1.26824122259499\n", + "\\item 1.61356823228515\n", + "\\item 5.59581437355025\n", + "\\item 6.11524686716444\n", + "\\item 1.10231513717403\n", + "\\item 3.53138130236314\n", + "\\item 1.31173282301512\n", + "\\item 2.13327425019401\n", + "\\item 3.3399998927838\n", + "\\item 3.06495105310089\n", + "\\item 1.70279391821338\n", + "\\item 1.54454262241002\n", + "\\item 1.69710291561058\n", + "\\item 1.79367362799527\n", + "\\item 3.55122563139024\n", + "\\item 1.45859836944158\n", + "\\item 1.77864880689464\n", + "\\item 1.5939600159281\n", + "\\item 3.79058219066413\n", + "\\item 1.98539557260113\n", + "\\item 3.05333346689608\n", + "\\item 3.10129447290027\n", + "\\item 4.62378992332122\n", + "\\item 3.50520967771329\n", + "\\item 4.10910132669659\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 2.30223620940601\n", + "\\item 3.36861351162507\n", + "\\item 4.70298177406719\n", + "\\item 6.34445313289214\n", + "\\item 8.38928476781946\n", + "\\item 6.41627914758445\n", + "\\item 6.40057865750174\n", + "\\item 6.88339075043493\n", + "\\item 3.90308103315205\n", + "\\item 6.13195829043625\n", + "\\item 1.89022334316743\n", + "\\item 5.61871283612473\n", + "\\item 6.69050889309157\n", + "\\item 4.46752648172241\n", + "\\item 3.44765742771564\n", + "\\item 5.2809051703339\n", + "\\item 2.42781517501524\n", + "\\item 7.49909633645272\n", + "\\item 3.88791571798409\n", + "\\item 3.39291548346206\n", + "\\item 6.52398583590136\n", + "\\item 5.82068641581638\n", + "\\item 1.88448816200498\n", + "\\item 6.9996293202302\n", + "\\item 2.94581113546276\n", + "\\item 2.98462290516705\n", + "\\item 5.24701784573838\n", + "\\item 9.4624573873137\n", + "\\item 3.89519395609726\n", + "\\item 6.04917469685809\n", + "\\item 1.17184398779609\n", + "\\item 2.09632299096999\n", + "\\item 5.83404614641835\n", + "\\item 4.49378648114046\n", + "\\item 4.90411760098554\n", + "\\item 4.17771580127098\n", + "\\item 1.12011874595415\n", + "\\item 6.71922511181773\n", + "\\item 6.56029046602492\n", + "\\item 5.77823146324341\n", + "\\item 1.18169764016681\n", + "\\item 3.3959776268072\n", + "\\item 1.55353329997712\n", + "\\item 2.91907170071437\n", + "\\item 3.15980269862428\n", + "\\item 5.16885720216904\n", + "\\item 4.20295487365308\n", + "\\item 5.73298387720494\n", + "\\item 7.20110593745962\n", + "\\item 6.72671278898321\n", + "\\item 4.89220728170892\n", + "\\item 2.95752148517724\n", + "\\item 5.23400640443431\n", + "\\item 5.24706797197223\n", + "\\item 8.07053094010974\n", + "\\item 5.39077403418019\n", + "\\item 4.94612275430312\n", + "\\item 6.98921268426537\n", + "\\item 6.74180170539001\n", + "\\item 2.46856701923259\n", + "\\item 2.05314935680938\n", + "\\item 0.664213266528252\n", + "\\item 4.15146438927575\n", + "\\item 4.40619938450004\n", + "\\item 5.59116931639924\n", + "\\item 5.4996476113026\n", + "\\item 3.98565407995363\n", + "\\item 6.57034924355125\n", + "\\item 5.73833164183752\n", + "\\item 3.22903687578367\n", + "\\item 1.89893086162596\n", + "\\item 5.06764320009625\n", + "\\item 7.00194595070256\n", + "\\item 4.87633210636174\n", + "\\item 6.36836011067803\n", + "\\item 7.04738657120307\n", + "\\item 3.24902866198548\n", + "\\item 1.46507492193145\n", + "\\item 6.09989749949227\n", + "\\item 4.91630069778155\n", + "\\item 9.06723018511598\n", + "\\item 2.20868751361403\n", + "\\item 4.90224226282898\n", + "\\item 2.23957132769024\n", + "\\item 5.81939358050052\n", + "\\item 6.22800421807679\n", + "\\item 5.24533020138131\n", + "\\item 4.62245841765234\n", + "\\item 3.49522595047179\n", + "\\item 11.3229025390162\n", + "\\item 5.22262513652963\n", + "\\item 1.7424160484204\n", + "\\item 5.07420700077012\n", + "\\item 5.46207589904378\n", + "\\item 8.80704214676036\n", + "\\item 5.02136435674853\n", + "\\item 2.20127915173511\n", + "\\item 3.64108011822588\n", + "\\item 6.92921868967856\n", + "\\item 3.11499442495177\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 3.29018594528678\n", + "\\item 2.74858597410641\n", + "\\item 6.28373704384427\n", + "\\item 7.24618560714668\n", + "\\item 3.56663205820297\n", + "\\item 6.746433278411\n", + "\\item 6.5411088245354\n", + "\\item 4.8719931215367\n", + "\\item 9.54403308277855\n", + "\\item 6.69896249396305\n", + "\\item 6.61826124941631\n", + "\\item 1.88148831920791\n", + "\\item 4.86690164833247\n", + "\\item 7.73075121745127\n", + "\\item 6.71379221192411\n", + "\\item 1.11303860810152\n", + "\\item 3.67355295445451\n", + "\\item 2.867284082212\n", + "\\item 2.52015849372577\n", + "\\item 10.3809664236255\n", + "\\item 6.8651338179395\n", + "\\item 10.5286323895826\n", + "\\item 7.37230110557546\n", + "\\item 5.19769298165003\n", + "\\item 7.1006743302209\n", + "\\item 9.54606045808573\n", + "\\item 3.74545414051445\n", + "\\item 3.25147105156589\n", + "\\item 1.6406686219361\n", + "\\item 3.60217191525324\n", + "\\item 3.13822741784479\n", + "\\item 1.46931358402602\n", + "\\item 4.10528470054341\n", + "\\item 4.16201266222305\n", + "\\item 4.00813515622213\n", + "\\item 3.22472068207239\n", + "\\item 4.15033529605838\n", + "\\item 4.92342093923536\n", + "\\item 4.55103095086042\n", + "\\item 6.85246643155283\n", + "\\item 4.89032575794915\n", + "\\item 3.55321613585724\n", + "\\item 1.79381006929284\n", + "\\item 6.33235886284722\n", + "\\item 2.04371210396659\n", + "\\item 0.827470814702051\n", + "\\item 3.64086722386498\n", + "\\item 3.20259392721648\n", + "\\item 3.95924662686268\n", + "\\item 4.6907942383136\n", + "\\item 2.12795782345539\n", + "\\item 7.43448323375511\n", + "\\item 2.0290381517754\n", + "\\item 4.89082743712115\n", + "\\item 6.42454266053811\n", + "\\item 5.88308265402213\n", + "\\item 6.0163963739799\n", + "\\item 5.16777186746668\n", + "\\item 8.07134092871429\n", + "\\item 2.73480755805057\n", + "\\item 8.23474229884824\n", + "\\item 4.09081107687803\n", + "\\item 6.91532791895582\n", + "\\item 5.84021702076581\n", + "\\item 2.62497137850558\n", + "\\item 11.1679165105911\n", + "\\item 7.96772305490286\n", + "\\item 6.24031933189929\n", + "\\item 8.17202290530555\n", + "\\item 5.31420052043569\n", + "\\item 7.17005243124254\n", + "\\item 10.0290625597708\n", + "\\item 1.74284582140374\n", + "\\item 0.909379223091019\n", + "\\item 1.60458820321889\n", + "\\item 6.69195037673498\n", + "\\item 4.51632713348854\n", + "\\item 3.74551427845888\n", + "\\item 7.24060295769416\n", + "\\item 1.18939299725195\n", + "\\item 6.61395900230622\n", + "\\item 7.56304721541336\n", + "\\item 2.86991346849324\n", + "\\item 2.34821756369249\n", + "\\item 3.78593296323931\n", + "\\item 8.09719880665781\n", + "\\item 7.11488272651814\n", + "\\item 11.51369554633\n", + "\\item 0.885879057185274\n", + "\\item 7.83873386986955\n", + "\\item 6.88042104860041\n", + "\\item 2.41112920577529\n", + "\\item 8.06144873025108\n", + "\\item 6.6799195432932\n", + "\\item 7.62505006162027\n", + "\\item 4.78229684263736\n", + "\\item 1.90193308182939\n", + "\\item 3.76948368660541\n", + "\\item 1.60361729697796\n", + "\\item 2.95026679163107\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 4.80705812683463\n", + "\\item 6.08701369730548\n", + "\\item 5.93390415094762\n", + "\\item 8.47383582675391\n", + "\\item 3.11507792779037\n", + "\\item 4.98352042443957\n", + "\\item 4.9759940691067\n", + "\\item 1.1868671483268\n", + "\\item 2.16795860347416\n", + "\\item 6.2149180118021\n", + "\\item 8.00944643744338\n", + "\\item 4.14628949839957\n", + "\\item 5.18738189068477\n", + "\\item 1.92393813331498\n", + "\\item 6.30048956087505\n", + "\\item 2.47640856418955\n", + "\\item 12.514240595556\n", + "\\item 7.79807597201529\n", + "\\item 1.85210327579242\n", + "\\item 4.39828544217799\n", + "\\item 3.23481581393886\n", + "\\item 4.63140757177779\n", + "\\item 9.29103965783498\n", + "\\item 5.37867805918241\n", + "\\item 6.03685612508994\n", + "\\item 4.03219281096064\n", + "\\item 3.61832420188844\n", + "\\item 2.56612216603191\n", + "\\item 12.5737608415453\n", + "\\item 5.2842079537587\n", + "\\item 9.0808284101165\n", + "\\item 5.59773414207521\n", + "\\item 3.15914277466166\n", + "\\item 2.42794438548334\n", + "\\item 6.51757331368299\n", + "\\item 4.80734727915296\n", + "\\item 5.35155534385206\n", + "\\item 5.07620015458185\n", + "\\item 4.33188447713602\n", + "\\item 3.8556525955707\n", + "\\item 5.58276971416697\n", + "\\item 8.0748001151271\n", + "\\item 4.16632897180288\n", + "\\item 2.23245369313556\n", + "\\item 2.35669573583229\n", + "\\item 7.19705924358027\n", + "\\item 2.50939245551256\n", + "\\item 5.41731553907087\n", + "\\item 3.92920534124047\n", + "\\item 7.61113507984915\n", + "\\item 3.22559446803711\n", + "\\item 6.45552257994334\n", + "\\item 3.50502888669472\n", + "\\item 5.19176339549297\n", + "\\item 2.34769607725642\n", + "\\item 4.24197028237465\n", + "\\item 1.8718263411339\n", + "\\item 1.42583364072489\n", + "\\item 5.45871156335827\n", + "\\item 9.58919857387634\n", + "\\item 10.3008603637234\n", + "\\item 6.72701119301074\n", + "\\item 3.73605591495286\n", + "\\item 6.66210370406545\n", + "\\item 4.51756766960191\n", + "\\item 2.91383145445269\n", + "\\item 9.65653186103523\n", + "\\item 5.70116117589217\n", + "\\item 3.96285275385494\n", + "\\item 6.35284121015937\n", + "\\item 4.9177909155777\n", + "\\item 3.72032185005636\n", + "\\item 3.93773520600317\n", + "\\item 3.40539512316846\n", + "\\item 4.22270345743361\n", + "\\item 3.2849417689303\n", + "\\item 5.43674981534366\n", + "\\item 3.04095863782941\n", + "\\item 7.08903391103307\n", + "\\item 2.15559832313309\n", + "\\item 2.58202420336142\n", + "\\item 5.93643164673663\n", + "\\item 2.01645478984271\n", + "\\item 3.65395665726495\n", + "\\item 4.07137118303471\n", + "\\item 4.97419799229012\n", + "\\item 6.40293607995475\n", + "\\item 1.36629559000596\n", + "\\item 9.95674390958543\n", + "\\item 3.99027319908222\n", + "\\item 8.04732185607923\n", + "\\item 5.97761864328017\n", + "\\item 8.94527966535557\n", + "\\item 9.20128209839692\n", + "\\item 2.07842421185544\n", + "\\item 2.31466618234215\n", + "\\item 3.40351371637512\n", + "\\item 2.53266292481788\n", + "\\item 6.53622892022765\n", + "\\item 6.62403565061546\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 3.76317069975526\n", + "\\item 7.1831791711543\n", + "\\item 4.49564856238801\n", + "\\item 4.7767124017155\n", + "\\item 8.01510378290916\n", + "\\item 6.59927817474108\n", + "\\item 8.28116838527874\n", + "\\item 8.0534740470152\n", + "\\item 10.0832555177232\n", + "\\item 9.9819983724\n", + "\\item 6.27350587538483\n", + "\\item 5.02090656078867\n", + "\\item 3.8021155422221\n", + "\\item 3.79212373230579\n", + "\\item 2.03050194608617\n", + "\\item 6.71529097851699\n", + "\\item 4.90389207711539\n", + "\\item 7.93734487135494\n", + "\\item 7.24455653315401\n", + "\\item 12.4130787083219\n", + "\\item 2.47793120561492\n", + "\\item 2.42496676969074\n", + "\\item 7.16954362553062\n", + "\\item 11.6520524008057\n", + "\\item 4.02368642149904\n", + "\\item 4.015431173557\n", + "\\item 5.85859424022021\n", + "\\item 10.0684153728541\n", + "\\item 4.89704579976772\n", + "\\item 10.0209010088205\n", + "\\item 2.61563661883966\n", + "\\item 5.50537368416501\n", + "\\item 9.84264846848279\n", + "\\item 4.49176733596273\n", + "\\item 4.05018340036906\n", + "\\item 1.52153211128383\n", + "\\item 6.33607577805167\n", + "\\item 5.99480506166079\n", + "\\item 1.8007405681078\n", + "\\item 5.25373664806903\n", + "\\item 7.02802920875418\n", + "\\item 13.5203914694556\n", + "\\item 3.39219794507707\n", + "\\item 3.27116087524274\n", + "\\item 3.66984019958543\n", + "\\item 1.65711653157693\n", + "\\item 10.5821525319764\n", + "\\item 9.01161819928802\n", + "\\item 4.90744689227518\n", + "\\item 10.1413451958681\n", + "\\item 1.82256014351856\n", + "\\item 6.21168443362847\n", + "\\item 3.83710859269688\n", + "\\item 3.65307983589856\n", + "\\item 7.89420595090439\n", + "\\item 5.87155104407679\n", + "\\item 7.84046606709492\n", + "\\item 4.5914553817661\n", + "\\item 3.56147878729408\n", + "\\item 3.70797292206402\n", + "\\item 4.68830638804582\n", + "\\item 0.725220276371636\n", + "\\item 9.76748764488442\n", + "\\item 5.68225186430163\n", + "\\item 7.69761030595376\n", + "\\item 6.73174159469308\n", + "\\item 5.61182158330789\n", + "\\item 4.74948282228967\n", + "\\item 5.18168105446703\n", + "\\item 7.31961738078768\n", + "\\item 13.1160986576469\n", + "\\item 6.63529463967231\n", + "\\item 8.3019112409521\n", + "\\item 3.65267280799644\n", + "\\item 3.55761844141873\n", + "\\item 8.8848418516165\n", + "\\item 5.93943240558472\n", + "\\item 4.55009223067279\n", + "\\item 3.5728762870801\n", + "\\item 4.84045385470805\n", + "\\item 8.94597241833914\n", + "\\item 5.34324205835046\n", + "\\item 4.70488621204955\n", + "\\item 5.40903540337342\n", + "\\item 6.47546298281453\n", + "\\item 2.51506072169069\n", + "\\item 7.43412617258909\n", + "\\item 3.88280593657281\n", + "\\item 6.13563789761222\n", + "\\item 6.69532494014908\n", + "\\item 5.86027228066154\n", + "\\item 6.1962783535831\n", + "\\item 5.54196079335622\n", + "\\item 4.72095419043167\n", + "\\item 2.59840835892671\n", + "\\item 1.53878130183588\n", + "\\item 3.85222724225784\n", + "\\item 8.64337733282315\n", + "\\item 6.99355200448447\n", + "\\item 6.12040281725141\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 5.19417088891776\n", + "\\item 2.2871361522338\n", + "\\item 0.679774801361675\n", + "\\item 2.05225567985814\n", + "\\item 0.779713142756139\n", + "\\item 3.08883170931253\n", + "\\item 3.70907621076747\n", + "\\item 2.2543868172092\n", + "\\item 5.97259294835788\n", + "\\item 1.40130930039713\n", + "\\item 2.63579021219973\n", + "\\item 3.67505519295688\n", + "\\item 5.34971125618013\n", + "\\item 0.56875626094675\n", + "\\item 5.72599865359192\n", + "\\item 4.82251934710826\n", + "\\item 2.08059611666948\n", + "\\item 2.82091763716046\n", + "\\item 3.74605024573124\n", + "\\item 1.89009635423139\n", + "\\item 0.881162948060852\n", + "\\item 3.46842032688795\n", + "\\item 1.41049819174675\n", + "\\item 5.28590230685012\n", + "\\item 5.32822350965064\n", + "\\item 3.28604511140507\n", + "\\item 0.761776026468188\n", + "\\item 1.28785764395234\n", + "\\item 5.58687159090772\n", + "\\item 3.08201069040116\n", + "\\item 7.29591114463368\n", + "\\item 2.40304577135083\n", + "\\item 0.290283643668053\n", + "\\item 1.45341473612424\n", + "\\item 0.831780931941483\n", + "\\item 2.84075088611898\n", + "\\item 2.24672776674352\n", + "\\item 4.78436845910098\n", + "\\item 5.05138445926757\n", + "\\item 1.63760117401837\n", + "\\item 5.2538892662395\n", + "\\item 5.47366090324801\n", + "\\item 2.47076237255017\n", + "\\item 6.65038828659512\n", + "\\item 2.3345680278394\n", + "\\item 3.02212666995827\n", + "\\item 1.45220042499738\n", + "\\item 2.96069288394743\n", + "\\item 4.10115314756586\n", + "\\item 2.66837590978763\n", + "\\item 3.34737022034292\n", + "\\item 1.1912245920001\n", + "\\item 2.14044072605165\n", + "\\item 2.21071397216232\n", + "\\item 5.30981650987532\n", + "\\item 1.76238050641008\n", + "\\item 0.782065638753083\n", + "\\item 0.647380275190045\n", + "\\item 3.48374272556699\n", + "\\item 5.69351240130015\n", + "\\item 3.97069174587926\n", + "\\item 5.2971227625359\n", + "\\item 0.808371844644958\n", + "\\item 4.55116370071218\n", + "\\item 0.987219185580793\n", + "\\item 3.51973383090302\n", + "\\item 3.29566660015398\n", + "\\item 0.564801003169283\n", + "\\item 2.68238721513763\n", + "\\item 5.54782286150354\n", + "\\item 3.87623644600998\n", + "\\item 6.26916279271161\n", + "\\item 4.25022422592809\n", + "\\item 3.06722570314198\n", + "\\item 3.37663231855255\n", + "\\item 3.94374282305928\n", + "\\item 2.30991997048493\n", + "\\item 5.12545783416818\n", + "\\item 3.2663973070425\n", + "\\item 0.748630603280257\n", + "\\item 4.67058526197848\n", + "\\item 5.4771287918864\n", + "\\item 1.2948929617072\n", + "\\item 4.42170377274506\n", + "\\item 5.0463911697119\n", + "\\item 4.16660911805417\n", + "\\item 3.31912685874651\n", + "\\item 1.987965515836\n", + "\\item 3.91489095610844\n", + "\\item 4.07264652165732\n", + "\\item 5.76857153370532\n", + "\\item 0.769950109557288\n", + "\\item 1.75457454435408\n", + "\\item 1.71216794325083\n", + "\\item 3.21065777345466\n", + "\\item 2.87169511325158\n", + "\\item 6.51305887352054\n", + "\\item 1.51462734953215\n", + "\\item 3.25673325654825\n", + "\\item 4.1104485399685\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 3.02488083646349\n", + "\\item 3.73159510892928\n", + "\\item 2.80493384908392\n", + "\\item 8.1852536050024\n", + "\\item 5.01798146164366\n", + "\\item 2.10767963049886\n", + "\\item 1.74237572141413\n", + "\\item 5.94774946719833\n", + "\\item 1.62145508866295\n", + "\\item 4.29622779771547\n", + "\\item 1.56313380705647\n", + "\\item 3.58118256329611\n", + "\\item 3.77112945290628\n", + "\\item 4.12017304655743\n", + "\\item 2.83445535876262\n", + "\\item 4.2135291412547\n", + "\\item 4.60680191063652\n", + "\\item 3.97976275020633\n", + "\\item 9.11622058138541\n", + "\\item 6.40836011448967\n", + "\\item 0.867030034456647\n", + "\\item 7.11350173197435\n", + "\\item 2.08380491242501\n", + "\\item 2.98457945028507\n", + "\\item 4.25893193758957\n", + "\\item 2.22190346043347\n", + "\\item 2.20320660423801\n", + "\\item 5.23965715482302\n", + "\\item 8.30856143891353\n", + "\\item 3.21975835052143\n", + "\\item 5.26498922420811\n", + "\\item 8.30497945782676\n", + "\\item 5.68968419215223\n", + "\\item 4.490667599913\n", + "\\item 1.26998725110764\n", + "\\item 2.74755774701541\n", + "\\item 2.59529294867277\n", + "\\item 1.33976170482887\n", + "\\item 6.36663959367437\n", + "\\item 1.46119387276551\n", + "\\item 6.62741742600337\n", + "\\item 3.54922929831604\n", + "\\item 5.34612715231404\n", + "\\item 4.18659813612547\n", + "\\item 4.98491827816205\n", + "\\item 7.27936524622893\n", + "\\item 10.005082033407\n", + "\\item 4.43398686372787\n", + "\\item 4.36164794916997\n", + "\\item 6.3533558604012\n", + "\\item 2.78294105570412\n", + "\\item 1.18038166330845\n", + "\\item 3.86503420501389\n", + "\\item 8.32858001888716\n", + "\\item 0.910359959983116\n", + "\\item 6.94273875380493\n", + "\\item 5.65432396770852\n", + "\\item 7.69570876050186\n", + "\\item 6.59496829617151\n", + "\\item 6.5911883994096\n", + "\\item 2.09628857470672\n", + "\\item 7.98238791136817\n", + "\\item 5.59949028947155\n", + "\\item 2.16599570649141\n", + "\\item 7.96786304674835\n", + "\\item 4.96737489095177\n", + "\\item 6.13169814280616\n", + "\\item 4.59190369183603\n", + "\\item 3.10346874060386\n", + "\\item 2.25523425233648\n", + "\\item 1.11226840781942\n", + "\\item 2.41388907588139\n", + "\\item 4.33442536764114\n", + "\\item 4.30817528548906\n", + "\\item 6.53105828335764\n", + "\\item 2.39612544675883\n", + "\\item 6.32906069419478\n", + "\\item 2.04068782330049\n", + "\\item 5.99973051383474\n", + "\\item 6.11239250351934\n", + "\\item 1.54427925874214\n", + "\\item 7.73955414939108\n", + "\\item 4.36606058296682\n", + "\\item 1.09477803986556\n", + "\\item 8.02021140811357\n", + "\\item 5.87840538665074\n", + "\\item 3.50634834389652\n", + "\\item 6.9089536668706\n", + "\\item 1.56740678877387\n", + "\\item 7.05520488314828\n", + "\\item 2.21660223696367\n", + "\\item 5.93306844705508\n", + "\\item 6.49757397317282\n", + "\\item 5.67575075288523\n", + "\\item 3.26185913687731\n", + "\\item 2.15603452408512\n", + "\\item 3.5938627198279\n", + "\\item 6.68551191668476\n", + "\\item 1.19622235575279\n", + "\\item 4.20212383211546\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 1.42810994127873\n", + "\\item 7.69336063503309\n", + "\\item 2.15966481540097\n", + "\\item 3.49634921437344\n", + "\\item 2.43741667824449\n", + "\\item 4.83432895696056\n", + "\\item 2.38212175488671\n", + "\\item 4.158302546621\n", + "\\item 4.45718394111658\n", + "\\item 1.99295470551462\n", + "\\item 3.76381241942403\n", + "\\item 2.87313383838821\n", + "\\item 2.9377268215731\n", + "\\item 3.44170715318392\n", + "\\item 1.25761360053628\n", + "\\item 2.36960458962931\n", + "\\item 2.939148789467\n", + "\\item 0.918712300678549\n", + "\\item 4.52710833653553\n", + "\\item 0.667503298989695\n", + "\\item 2.24897648001855\n", + "\\item 0.749932385188394\n", + "\\item 2.11855089097482\n", + "\\item 2.58913812809023\n", + "\\item 2.64777577339276\n", + "\\item 5.61893467235954\n", + "\\item 3.61070136271418\n", + "\\item 2.27347335624206\n", + "\\item 2.4426261783569\n", + "\\item 0.46568089047539\n", + "\\item 5.74591030088692\n", + "\\item 2.80564163184403\n", + "\\item 1.33045401834608\n", + "\\item 0.857947055239081\n", + "\\item 8.65432106957239\n", + "\\item 3.02494688709284\n", + "\\item 1.51337622290857\n", + "\\item 4.39679792545408\n", + "\\item 3.97059295613202\n", + "\\item 3.07523097741566\n", + "\\item 6.23180444331321\n", + "\\item 2.38319268771275\n", + "\\item 2.90407857171519\n", + "\\item 7.00310035359335\n", + "\\item 6.07775351298758\n", + "\\item 7.52585395686329\n", + "\\item 5.22164273674363\n", + "\\item 4.40908844847536\n", + "\\item 4.9909274139404\n", + "\\item 1.47173765788406\n", + "\\item 5.67143944351649\n", + "\\item 2.00358063962788\n", + "\\item 4.09474462932746\n", + "\\item 2.48282881414053\n", + "\\item 1.21148788419132\n", + "\\item 1.19791976691396\n", + "\\item 0.842587487794357\n", + "\\item 1.33868938203638\n", + "\\item 3.30076735582941\n", + "\\item 5.13271743090348\n", + "\\item 0.843623553434265\n", + "\\item 3.83171268173889\n", + "\\item 1.39923269403833\n", + "\\item 4.23521963930353\n", + "\\item 3.25598025142292\n", + "\\item 5.40300331305851\n", + "\\item 5.00945354523112\n", + "\\item 1.30708798311266\n", + "\\item 2.9078654243104\n", + "\\item 4.79262545142566\n", + "\\item 1.73523358735081\n", + "\\item 3.69205959011918\n", + "\\item 2.4142878049985\n", + "\\item 3.44638117788277\n", + "\\item 1.25462831526234\n", + "\\item 2.81741011520061\n", + "\\item 2.12283324882736\n", + "\\item 5.90626779478356\n", + "\\item 4.1982477524113\n", + "\\item 5.22749503316004\n", + "\\item 4.45431400201445\n", + "\\item 6.33596188505287\n", + "\\item 8.64853898050428\n", + "\\item 6.40576482639104\n", + "\\item 5.50227711162324\n", + "\\item 2.24691378113233\n", + "\\item 1.90083065837221\n", + "\\item 2.49124361400976\n", + "\\item 2.88965261830708\n", + "\\item 2.3381504822228\n", + "\\item 1.95613520323659\n", + "\\item 2.94508840120582\n", + "\\item 3.1009309497305\n", + "\\item 6.55335119333631\n", + "\\item 2.21751238922745\n", + "\\item 1.15478468344583\n", + "\\item 6.24010267089282\n", + "\\item 4.06780601600816\n", + "\\item 0.997289758360299\n", + "\\item 5.5156803429924\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 1.17849433445835\n", + "\\item 1.42311795473354\n", + "\\item 4.2913945983718\n", + "\\item 5.43161399387855\n", + "\\item 2.1440840560127\n", + "\\item 3.63129428813079\n", + "\\item 4.55321967913906\n", + "\\item 2.10759036170604\n", + "\\item 3.2372557384782\n", + "\\item 5.61592427252875\n", + "\\item 2.35462754430874\n", + "\\item 3.21534311045894\n", + "\\item 2.79953305242617\n", + "\\item 3.47663396199183\n", + "\\item 3.86324606074997\n", + "\\item 5.11119602773815\n", + "\\item 2.51815238096582\n", + "\\item 2.34747714818573\n", + "\\item 7.61938579569172\n", + "\\item 2.5251888982739\n", + "\\item 4.6727705549507\n", + "\\item 2.32638119103215\n", + "\\item 8.37439104470335\n", + "\\item 2.80265381783337\n", + "\\item 2.07398406815011\n", + "\\item 4.81954522967232\n", + "\\item 1.28001805122134\n", + "\\item 4.93938979809447\n", + "\\item 6.16118200369961\n", + "\\item 7.42637146555765\n", + "\\item 3.18484809548174\n", + "\\item 2.4515590239701\n", + "\\item 4.06392214847762\n", + "\\item 5.71485444883705\n", + "\\item 2.46846803485329\n", + "\\item 1.80402223309703\n", + "\\item 5.51861555968718\n", + "\\item 1.1318490868553\n", + "\\item 7.52751953667376\n", + "\\item 3.13353409153251\n", + "\\item 5.57436521133126\n", + "\\item 4.54922538876258\n", + "\\item 8.11493530926096\n", + "\\item 4.53349901808259\n", + "\\item 7.5592210315822\n", + "\\item 2.65057858097334\n", + "\\item 3.15936334390074\n", + "\\item 4.81925265897162\n", + "\\item 1.95831137667934\n", + "\\item 2.54581397361073\n", + "\\item 1.54573869198052\n", + "\\item 3.69876262761724\n", + "\\item 2.72886854875527\n", + "\\item 2.43396658034207\n", + "\\item 4.86853988771045\n", + "\\item 4.79809783763967\n", + "\\item 3.77472860630847\n", + "\\item 4.33341902911183\n", + "\\item 4.83935181832022\n", + "\\item 2.69344935999068\n", + "\\item 2.28391744955549\n", + "\\item 1.16118386443016\n", + "\\item 8.70050974319628\n", + "\\item 2.52926989570348\n", + "\\item 3.97456297309867\n", + "\\item 1.43429914866707\n", + "\\item 6.56871525792142\n", + "\\item 1.78794685869792\n", + "\\item 4.28874293418202\n", + "\\item 3.2118986797059\n", + "\\item 3.82087073568703\n", + "\\item 2.27151910480101\n", + "\\item 7.66686801677731\n", + "\\item 1.80074103754131\n", + "\\item 1.16965772536333\n", + "\\item 2.84547312482695\n", + "\\item 2.52141725167558\n", + "\\item 4.51161904447256\n", + "\\item 4.53748363718499\n", + "\\item 5.88158933506675\n", + "\\item 4.81976275002327\n", + "\\item 5.96181624675702\n", + "\\item 5.77454378922271\n", + "\\item 3.65944042101394\n", + "\\item 2.59682352567019\n", + "\\item 0.925406279656415\n", + "\\item 4.6684881722571\n", + "\\item 2.35809538165543\n", + "\\item 7.52162525502353\n", + "\\item 3.68728712057995\n", + "\\item 2.96290354859619\n", + "\\item 3.23735015377976\n", + "\\item 11.1430481109657\n", + "\\item 2.16345041859459\n", + "\\item 4.8231159633836\n", + "\\item 4.02150491800884\n", + "\\item 1.04349980039286\n", + "\\item 2.20796210318485\n", + "\\item 8.74752930635048\n", + "\\item 4.00927025221535\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 1.38951947043267\n", + "\\item 5.68006838114836\n", + "\\item 1.29564246919145\n", + "\\item 1.54770885038483\n", + "\\item 3.13873316025902\n", + "\\item 3.00657054114868\n", + "\\item 3.02977230639055\n", + "\\item 1.85065019443866\n", + "\\item 1.19041285996682\n", + "\\item 6.3813121821584\n", + "\\item 6.45572946932465\n", + "\\item 4.42189584720662\n", + "\\item 2.46256916223379\n", + "\\item 3.19623478384782\n", + "\\item 4.56250038958877\n", + "\\item 4.50603382318503\n", + "\\item 2.76242245742767\n", + "\\item 1.66895060940212\n", + "\\item 2.18344211515851\n", + "\\item 2.0210169446514\n", + "\\item 3.28064069029632\n", + "\\item 5.98350280501373\n", + "\\item 2.68335888926852\n", + "\\item 10.1461138482206\n", + "\\item 4.22255690413055\n", + "\\item 2.29188168641124\n", + "\\item 1.93626805180797\n", + "\\item 4.22586775841353\n", + "\\item 8.31996828088683\n", + "\\item 4.66097057448897\n", + "\\item 3.30697117650958\n", + "\\item 4.52216182715373\n", + "\\item 5.89219135566231\n", + "\\item 7.31594764740891\n", + "\\item 1.73053516877934\n", + "\\item 1.80060714482463\n", + "\\item 8.60015620825478\n", + "\\item 3.60522610951693\n", + "\\item 4.1161366374793\n", + "\\item 4.98426509833908\n", + "\\item 6.32580632029257\n", + "\\item 4.17545723094349\n", + "\\item 2.53782982982139\n", + "\\item 3.58767556894286\n", + "\\item 1.88306140714825\n", + "\\item 5.58753358155897\n", + "\\item 1.44349827133035\n", + "\\item 1.95225364662664\n", + "\\item 7.19679067996142\n", + "\\item 2.33267961545993\n", + "\\item 3.14593719320939\n", + "\\item 0.990580813034125\n", + "\\item 7.31957767221968\n", + "\\item 1.34421053282171\n", + "\\item 3.41101392073552\n", + "\\item 2.08120746712838\n", + "\\item 0.813097621385179\n", + "\\item 1.39954861217336\n", + "\\item 2.20701790548461\n", + "\\item 1.2375668185718\n", + "\\item 0.868452721990854\n", + "\\item 0.668990563511504\n", + "\\item 3.22108169305696\n", + "\\item 5.60327708860435\n", + "\\item 2.50525319493459\n", + "\\item 2.13533386655492\n", + "\\item 1.66360005375701\n", + "\\item 9.92913574366079\n", + "\\item 2.25950909420495\n", + "\\item 3.13065664871288\n", + "\\item 6.18548678933317\n", + "\\item 1.04326030311112\n", + "\\item 10.1378433742457\n", + "\\item 3.24084409919539\n", + "\\item 4.79740717862218\n", + "\\item 6.93289385472962\n", + "\\item 1.89382067264515\n", + "\\item 3.43501094166429\n", + "\\item 5.11184509556587\n", + "\\item 6.19487711605472\n", + "\\item 3.00744052740037\n", + "\\item 1.49863026159409\n", + "\\item 2.08914672623138\n", + "\\item 2.1134323124623\n", + "\\item 2.94978385218048\n", + "\\item 4.17930410782543\n", + "\\item 3.36983385712799\n", + "\\item 8.04858926784873\n", + "\\item 1.45921489396193\n", + "\\item 0.73296737327898\n", + "\\item 5.26674220290064\n", + "\\item 4.26090526842209\n", + "\\item 3.46299961385686\n", + "\\item 2.84937246431611\n", + "\\item 5.19800548260856\n", + "\\item 3.44688269288139\n", + "\\item 2.71868699498384\n", + "\\item 1.16439792287698\n", + "\\item 6.42497337464186\n", + "\\item 3.44041123967262\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 1.8315443134787\n", + "\\item 5.11210991500803\n", + "\\item 4.4902067194545\n", + "\\item 2.94488626849653\n", + "\\item 4.0730896850403\n", + "\\item 5.22795462981771\n", + "\\item 5.45381769643833\n", + "\\item 2.83828910788296\n", + "\\item 2.48789082815837\n", + "\\item 4.5213776434935\n", + "\\item 3.27532193094934\n", + "\\item 5.86346718032688\n", + "\\item 1.63990300351242\n", + "\\item 1.88435846954123\n", + "\\item 3.31768627961395\n", + "\\item 2.45462876884599\n", + "\\item 2.86764247611679\n", + "\\item 3.0890210220703\n", + "\\item 4.70274446014354\n", + "\\item 0.727441536720544\n", + "\\item 4.52855027474199\n", + "\\item 3.15978059132217\n", + "\\item 1.38732620784631\n", + "\\item 0.562478412625491\n", + "\\item 1.51511060543077\n", + "\\item 1.62505124617331\n", + "\\item 4.13780453328177\n", + "\\item 1.13801039913988\n", + "\\item 6.90218525174132\n", + "\\item 4.37966444620344\n", + "\\item 0.975753516756081\n", + "\\item 5.86472913132709\n", + "\\item 5.63065802885886\n", + "\\item 3.36763932694812\n", + "\\item 3.20732153328701\n", + "\\item 1.70907290834166\n", + "\\item 3.92455416193852\n", + "\\item 2.49791819047416\n", + "\\item 4.42057723006818\n", + "\\item 2.35940281956579\n", + "\\item 1.44412880055182\n", + "\\item 3.3532842696571\n", + "\\item 1.78705870936406\n", + "\\item 2.80442645494233\n", + "\\item 9.16906402185229\n", + "\\item 1.92487427229994\n", + "\\item 4.64662520905718\n", + "\\item 1.28241290472856\n", + "\\item 1.88372299671334\n", + "\\item 1.29603146947072\n", + "\\item 1.61527754314434\n", + "\\item 0.845034555481163\n", + "\\item 5.52016909521037\n", + "\\item 2.8271351031834\n", + "\\item 4.6507614657358\n", + "\\item 3.69499640352778\n", + "\\item 4.34803084367338\n", + "\\item 1.99643604985293\n", + "\\item 7.51349441455941\n", + "\\item 4.68987384867906\n", + "\\item 4.84769547861494\n", + "\\item 4.5219907200566\n", + "\\item 1.35591889275413\n", + "\\item 4.49584289212322\n", + "\\item 3.30523136481424\n", + "\\item 2.14855530936108\n", + "\\item 1.58461976178286\n", + "\\item 2.4017070884099\n", + "\\item 5.55267526199893\n", + "\\item 5.83986618686522\n", + "\\item 4.74786677268232\n", + "\\item 2.97250722472886\n", + "\\item 2.60217766162752\n", + "\\item 2.15643332551382\n", + "\\item 6.68133784058785\n", + "\\item 3.59797357641469\n", + "\\item 2.2826959551099\n", + "\\item 2.74986842343131\n", + "\\item 6.62292047238482\n", + "\\item 1.72327358354747\n", + "\\item 6.07175964280984\n", + "\\item 7.03226063530418\n", + "\\item 3.51594020367919\n", + "\\item 4.43940642667417\n", + "\\item 4.59658415435887\n", + "\\item 2.60567101058841\n", + "\\item 2.54322263677681\n", + "\\item 3.65982374715343\n", + "\\item 2.2171701878908\n", + "\\item 2.11868703176829\n", + "\\item 4.30086580719833\n", + "\\item 6.69640240604143\n", + "\\item 4.68010152507946\n", + "\\item 1.37769166729268\n", + "\\item 5.23561739241478\n", + "\\item 2.64661412448743\n", + "\\item 3.62851087349233\n", + "\\item 3.52401115021867\n", + "\\item 3.01625378148968\n", + "\\item 2.61564402503769\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 5.84567813429302\n", + "\\item 1.03123216759159\n", + "\\item 0.754198205282486\n", + "\\item 8.31822140136904\n", + "\\item 4.29672972586775\n", + "\\item 4.48420725859711\n", + "\\item 1.54211769359863\n", + "\\item 1.52194272840935\n", + "\\item 4.28583109462977\n", + "\\item 4.57819819332345\n", + "\\item 3.25243692160489\n", + "\\item 1.83991738485431\n", + "\\item 7.69214482584869\n", + "\\item 1.66786277028951\n", + "\\item 6.62143717593823\n", + "\\item 0.404859880893171\n", + "\\item 9.70406583086608\n", + "\\item 2.22776417319953\n", + "\\item 5.54801781392177\n", + "\\item 1.84451149795132\n", + "\\item 8.11811088265138\n", + "\\item 7.16689222179788\n", + "\\item 1.67105765189942\n", + "\\item 8.16348292786226\n", + "\\item 0.684024633873664\n", + "\\item 1.25877024371628\n", + "\\item 2.32048356849021\n", + "\\item 2.62582967893063\n", + "\\item 1.94432711520949\n", + "\\item 3.99417769553021\n", + "\\item 2.1175093730807\n", + "\\item 4.87657268308026\n", + "\\item 3.92254241555779\n", + "\\item 4.51516210640808\n", + "\\item 4.13338972170176\n", + "\\item 4.39047981464021\n", + "\\item 5.99999506847729\n", + "\\item 5.07204176079304\n", + "\\item 16.7835093276324\n", + "\\item 4.7915983945458\n", + "\\item 6.49858524629433\n", + "\\item 5.5190125361691\n", + "\\item 0.250564614978383\n", + "\\item 1.42171708537736\n", + "\\item 9.15604391077128\n", + "\\item 1.18174154946171\n", + "\\item 1.11400254605585\n", + "\\item 0.645971887156953\n", + "\\item 8.57365817895741\n", + "\\item 3.62661333398685\n", + "\\item 4.66120257856695\n", + "\\item 6.54516244634798\n", + "\\item 3.77950586323509\n", + "\\item 4.01312108043448\n", + "\\item 3.31670925466831\n", + "\\item 6.5956463360764\n", + "\\item 1.67187855481711\n", + "\\item 5.21239579609487\n", + "\\item 4.97633250513842\n", + "\\item 7.58024537740903\n", + "\\item 1.6808751818569\n", + "\\item 5.21610660027367\n", + "\\item 2.64084438855411\n", + "\\item 5.85088646490926\n", + "\\item 3.4150360319838\n", + "\\item 0.942480068187411\n", + "\\item 4.96789353243703\n", + "\\item 5.01178984063671\n", + "\\item 4.22901164939226\n", + "\\item 2.18402317394477\n", + "\\item 8.68383032737239\n", + "\\item 1.5346608630976\n", + "\\item 4.68211326978704\n", + "\\item 6.27534880397385\n", + "\\item 6.22338625116199\n", + "\\item 4.71053160630549\n", + "\\item 1.03355421968908\n", + "\\item 1.99692480099745\n", + "\\item 1.92898450220558\n", + "\\item 5.1910627967798\n", + "\\item 0.935514887094221\n", + "\\item 2.15904092530253\n", + "\\item 5.06349837530373\n", + "\\item 2.86291625129924\n", + "\\item 1.09220787492935\n", + "\\item 4.30566577322341\n", + "\\item 1.51678872911057\n", + "\\item 1.31788671661956\n", + "\\item 1.5971528784387\n", + "\\item 0.918496952673999\n", + "\\item 4.74440624159685\n", + "\\item 7.68110829552951\n", + "\\item 6.00630708725388\n", + "\\item 2.09072515917085\n", + "\\item 1.7603600708109\n", + "\\item 0.838874875496747\n", + "\\item 2.97673017854203\n", + "\\item 5.92442689951261\n", + "\\item 1.64801356695466\n", + "\\item 1.28588140912475\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 1.9805607342837\n", + "\\item 3.54238233194489\n", + "\\item 4.71356567411816\n", + "\\item 4.79000461802966\n", + "\\item 5.44816540079662\n", + "\\item 5.41478744859297\n", + "\\item 2.292614307814\n", + "\\item 7.57328122479265\n", + "\\item 1.08730668685638\n", + "\\item 4.56565115858776\n", + "\\item 2.02933601557426\n", + "\\item 2.78806104137997\n", + "\\item 3.69586931386698\n", + "\\item 5.34203044146029\n", + "\\item 6.14275904699796\n", + "\\item 6.24079783141153\n", + "\\item 5.35128979708654\n", + "\\item 3.68573555666284\n", + "\\item 7.48562530863057\n", + "\\item 2.25767020869344\n", + "\\item 1.78373947509901\n", + "\\item 2.59916737626061\n", + "\\item 1.93555619257739\n", + "\\item 6.26283483269591\n", + "\\item 6.00214626070874\n", + "\\item 2.60617191811667\n", + "\\item 3.06831151995445\n", + "\\item 1.84781763389579\n", + "\\item 2.66152098107891\n", + "\\item 6.060302498146\n", + "\\item 2.14395144701788\n", + "\\item 3.17311388520435\n", + "\\item 2.89962588891483\n", + "\\item 6.9507180521822\n", + "\\item 2.1185679595454\n", + "\\item 6.34955262274184\n", + "\\item 6.56514774141403\n", + "\\item 3.92082810428636\n", + "\\item 2.27700022223511\n", + "\\item 0.926240580803116\n", + "\\item 4.04197590460018\n", + "\\item 4.78927806122396\n", + "\\item 5.8199492266143\n", + "\\item 1.98443907134483\n", + "\\item 2.55596263264062\n", + "\\item 3.52660423982556\n", + "\\item 2.03948942458625\n", + "\\item 3.41416613869396\n", + "\\item 4.75228854533593\n", + "\\item 5.56669912454112\n", + "\\item 4.59235814708538\n", + "\\item 2.43341218788999\n", + "\\item 2.9218638653992\n", + "\\item 6.28241260436459\n", + "\\item 1.64909165509997\n", + "\\item 2.23748557027452\n", + "\\item 1.45369560371855\n", + "\\item 3.0323408913794\n", + "\\item 5.74277987207737\n", + "\\item 7.25516385297009\n", + "\\item 8.27069906425932\n", + "\\item 1.43582745232242\n", + "\\item 0.980544577386764\n", + "\\item 5.01376044431416\n", + "\\item 0.705887075251279\n", + "\\item 2.09422207055558\n", + "\\item 5.50347801369885\n", + "\\item 3.12701472010698\n", + "\\item 2.33131637246881\n", + "\\item 3.77543393595327\n", + "\\item 4.51442766893094\n", + "\\item 5.46004626511867\n", + "\\item 6.06269413765777\n", + "\\item 6.7100136563925\n", + "\\item 4.44416872837007\n", + "\\item 0.98782175830515\n", + "\\item 1.59829793433972\n", + "\\item 1.47635785207944\n", + "\\item 1.26873734544499\n", + "\\item 3.23220375688561\n", + "\\item 3.44656102693442\n", + "\\item 4.6859247898283\n", + "\\item 5.33181223755106\n", + "\\item 6.23872950434192\n", + "\\item 2.06921008322429\n", + "\\item 2.33395958950462\n", + "\\item 6.40731573487092\n", + "\\item 2.95413264258573\n", + "\\item 4.1936618162462\n", + "\\item 2.80529752035372\n", + "\\item 5.44622401606227\n", + "\\item 2.22005622781763\n", + "\\item 1.26021049392454\n", + "\\item 3.50254691606871\n", + "\\item 4.4489341676172\n", + "\\item 2.73531107014118\n", + "\\item 2.68500981007102\n", + "\\item 6.70394545541417\n", + "\\item 2.430970164975\n", + "\\item 2.6826939069388\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 5.85372848018384\n", + "\\item 6.48081477861921\n", + "\\item 0.942012049670054\n", + "\\item 6.0651278314905\n", + "\\item 5.59199906854898\n", + "\\item 2.54814577055916\n", + "\\item 1.90273720634534\n", + "\\item 0.556913118319899\n", + "\\item 5.07651426138803\n", + "\\item 1.73960215308483\n", + "\\item 1.42141476442849\n", + "\\item 0.46761629041403\n", + "\\item 3.51715826803547\n", + "\\item 0.9634140995423\n", + "\\item 2.16013954908946\n", + "\\item 0.658219000164477\n", + "\\item 2.62348963092882\n", + "\\item 1.8088836766717\n", + "\\item 3.90884482569206\n", + "\\item 2.24340740899168\n", + "\\item 1.0833939640703\n", + "\\item 7.0835398524651\n", + "\\item 0.433212611401894\n", + "\\item 2.25601799252688\n", + "\\item 3.95332219696\n", + "\\item 1.03191584539401\n", + "\\item 0.539064432832267\n", + "\\item 7.32254719287383\n", + "\\item 5.15631477121598\n", + "\\item 3.13019920817652\n", + "\\item 4.85238968843599\n", + "\\item 0.846053529262624\n", + "\\item 1.99590284983416\n", + "\\item 3.57342689424233\n", + "\\item 0.828127563721137\n", + "\\item 4.20294525086947\n", + "\\item 1.70223567557827\n", + "\\item 0.426315347661715\n", + "\\item 1.37058713942979\n", + "\\item 5.1225278832138\n", + "\\item 3.00207230806721\n", + "\\item 4.6926040427127\n", + "\\item 6.18853540878822\n", + "\\item 1.4515628715992\n", + "\\item 1.31103529200358\n", + "\\item 1.14278594994644\n", + "\\item 0.543764991588904\n", + "\\item 1.71698294994175\n", + "\\item 1.74149880499124\n", + "\\item 3.0512473262809\n", + "\\item 3.21613819698336\n", + "\\item 2.66640882208047\n", + "\\item 1.75898773946288\n", + "\\item 1.07074263659876\n", + "\\item 4.06192610300464\n", + "\\item 1.05331042521352\n", + "\\item 1.64665910823505\n", + "\\item 1.8280215979216\n", + "\\item 5.45053028112229\n", + "\\item 1.0519212374965\n", + "\\item 1.83677791145729\n", + "\\item 2.12015950482476\n", + "\\item 2.03750591140626\n", + "\\item 2.00994906753849\n", + "\\item 3.26415391752469\n", + "\\item 0.629573912888409\n", + "\\item 0.843159793660792\n", + "\\item 3.64270928138584\n", + "\\item 2.75511417491293\n", + "\\item 1.42306069854643\n", + "\\item 5.4419432073326\n", + "\\item 4.43442498910486\n", + "\\item 2.48766352369598\n", + "\\item 2.24159180028505\n", + "\\item 1.01451444814124\n", + "\\item 1.42756446122498\n", + "\\item 4.08749096510292\n", + "\\item 1.65006328894208\n", + "\\item 1.90955137045549\n", + "\\item 3.60225614023512\n", + "\\item 0.576098271758104\n", + "\\item 3.61722522408065\n", + "\\item 3.39040214110657\n", + "\\item 2.93596085927482\n", + "\\item 1.7516503211026\n", + "\\item 4.74583469837186\n", + "\\item 2.12789601594281\n", + "\\item 2.5299169235448\n", + "\\item 1.73343924628377\n", + "\\item 1.58681880722068\n", + "\\item 3.72439562047761\n", + "\\item 3.21824739567772\n", + "\\item 1.941600575357\n", + "\\item 1.24542690481422\n", + "\\item 1.10760048524079\n", + "\\item 1.45033937783912\n", + "\\item 6.18438791334805\n", + "\\item 0.876334944787882\n", + "\\item 2.44846837073679\n", + "\\item 2.13394351915094\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 3.62501868452964\n", + "\\item 2.58895416599349\n", + "\\item 5.5927710244489\n", + "\\item 4.24715490797992\n", + "\\item 11.7701377960251\n", + "\\item 5.30283091576572\n", + "\\item 9.62720301770391\n", + "\\item 6.6311994216602\n", + "\\item 3.27245654684763\n", + "\\item 4.61107325018575\n", + "\\item 7.89645941959815\n", + "\\item 5.01553803983365\n", + "\\item 5.28061542595453\n", + "\\item 1.20709177344077\n", + "\\item 1.43895548390084\n", + "\\item 8.27730212222671\n", + "\\item 9.35005096215396\n", + "\\item 3.50793881607096\n", + "\\item 4.02149510821081\n", + "\\item 10.8964343582576\n", + "\\item 1.72991092113574\n", + "\\item 9.5060025658573\n", + "\\item 2.24775476009659\n", + "\\item 8.02220518703165\n", + "\\item 8.43096120911778\n", + "\\item 9.19924921655106\n", + "\\item 4.32370679916701\n", + "\\item 10.2612266074261\n", + "\\item 5.17741330230099\n", + "\\item 4.63087381560756\n", + "\\item 4.77350501667491\n", + "\\item 6.5580448646367\n", + "\\item 5.82914185892771\n", + "\\item 2.11486688423266\n", + "\\item 1.67868169708576\n", + "\\item 4.1487254727941\n", + "\\item 0.978440769781861\n", + "\\item 8.03246552140162\n", + "\\item 2.38046868235638\n", + "\\item 4.75898026238695\n", + "\\item 1.1503170115275\n", + "\\item 7.10161593072987\n", + "\\item 2.73838162800032\n", + "\\item 1.22295952247589\n", + "\\item 11.4817785556716\n", + "\\item 4.3618450571335\n", + "\\item 8.00167132166056\n", + "\\item 1.34598966179757\n", + "\\item 3.40078342471614\n", + "\\item 3.91277179025792\n", + "\\item 4.76813606060536\n", + "\\item 7.90537010558187\n", + "\\item 4.49579419608372\n", + "\\item 5.27451214537966\n", + "\\item 3.56808186170992\n", + "\\item 7.66480406885541\n", + "\\item 0.917883668567753\n", + "\\item 3.78025261033999\n", + "\\item 2.41811141878126\n", + "\\item 9.28021424763002\n", + "\\item 2.46732657482991\n", + "\\item 6.61937164807606\n", + "\\item 9.56424018228021\n", + "\\item 4.77357891283504\n", + "\\item 2.37260264653929\n", + "\\item 4.02153759355081\n", + "\\item 4.42268870928261\n", + "\\item 0.983937821255701\n", + "\\item 6.48919355434787\n", + "\\item 3.36416704086985\n", + "\\item 4.35432927170572\n", + "\\item 3.86862846932201\n", + "\\item 5.55624013837896\n", + "\\item 2.70228576876678\n", + "\\item 3.12197513423293\n", + "\\item 2.57598003518768\n", + "\\item 8.2396280114144\n", + "\\item 3.27625000779555\n", + "\\item 2.99558146246639\n", + "\\item 3.80017106395069\n", + "\\item 9.71657899149987\n", + "\\item 3.93840485981397\n", + "\\item 11.062580431001\n", + "\\item 4.37421208991537\n", + "\\item 4.37269184902387\n", + "\\item 8.4695405378476\n", + "\\item 8.44917070626266\n", + "\\item 5.70103168278853\n", + "\\item 5.50036953699419\n", + "\\item 1.99410312673675\n", + "\\item 2.04277863858128\n", + "\\item 5.37945991987117\n", + "\\item 7.30096097440315\n", + "\\item 8.70448260789637\n", + "\\item 1.6521415504238\n", + "\\item 3.93010572427367\n", + "\\item 9.68593605371023\n", + "\\item 5.52417398675777\n", + "\\item 2.41926733279552\n", + "\\item 3.98362324009221\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 1.48827535415931\n", + "\\item 5.43633966910043\n", + "\\item 3.33333682240031\n", + "\\item 1.55597391969109\n", + "\\item 2.97070534025971\n", + "\\item 1.21959661034713\n", + "\\item 1.55314986653513\n", + "\\item 1.76917809945395\n", + "\\item 1.77828615516056\n", + "\\item 1.37528633456446\n", + "\\item 1.16662122047604\n", + "\\item 3.35312131264366\n", + "\\item 3.56741678517368\n", + "\\item 4.69884652303142\n", + "\\item 3.39015665475384\n", + "\\item 1.07729172454337\n", + "\\item 7.2080191988924\n", + "\\item 1.55803149799454\n", + "\\item 2.8489355722909\n", + "\\item 3.82547186416913\n", + "\\item 2.85408418683641\n", + "\\item 1.47279692838657\n", + "\\item 0.974909434566525\n", + "\\item 1.82355037828908\n", + "\\item 1.16047604783408\n", + "\\item 1.01193466357524\n", + "\\item 1.08135882700145\n", + "\\item 1.08431483834908\n", + "\\item 2.55005431861815\n", + "\\item 2.91518198048057\n", + "\\item 1.72880755996899\n", + "\\item 3.53291638311291\n", + "\\item 4.41107738086077\n", + "\\item 2.4387364753423\n", + "\\item 3.18173309309856\n", + "\\item 2.50823352739989\n", + "\\item 1.93147706050746\n", + "\\item 0.825196225518795\n", + "\\item 0.852313685168512\n", + "\\item 3.11242744479189\n", + "\\item 0.97262006409768\n", + "\\item 4.40257003128781\n", + "\\item 2.80129344721474\n", + "\\item 3.03651099832823\n", + "\\item 0.949101910254434\n", + "\\item 1.17364221816514\n", + "\\item 1.0447748141315\n", + "\\item 1.36967158234668\n", + "\\item 2.41592566129345\n", + "\\item 1.60281155889247\n", + "\\item 3.3139373604021\n", + "\\item 2.06879174613065\n", + "\\item 1.88126475847706\n", + "\\item 1.85156515606211\n", + "\\item 0.724243056501618\n", + "\\item 1.51845633880448\n", + "\\item 1.4793390056823\n", + "\\item 1.87925176266308\n", + "\\item 1.4169252741458\n", + "\\item 5.26314871234411\n", + "\\item 4.65566689504393\n", + "\\item 1.06630354371771\n", + "\\item 0.94763911171243\n", + "\\item 1.99533928103187\n", + "\\item 4.23508323444753\n", + "\\item 1.85290138149366\n", + "\\item 1.81356519534301\n", + "\\item 1.58553129150694\n", + "\\item 1.67168164864504\n", + "\\item 1.19370522493028\n", + "\\item 1.04827994388847\n", + "\\item 0.917349523884919\n", + "\\item 1.80808224905209\n", + "\\item 3.25734480780483\n", + "\\item 3.17387810371005\n", + "\\item 8.02509431451826\n", + "\\item 1.77056189749871\n", + "\\item 1.26146658061463\n", + "\\item 1.06988017393798\n", + "\\item 8.6505579616709\n", + "\\item 3.24810470498202\n", + "\\item 2.17437133531438\n", + "\\item 1.46349701533204\n", + "\\item 2.3802730162823\n", + "\\item 1.23187886673657\n", + "\\item 0.826452891510799\n", + "\\item 3.73143114057647\n", + "\\item 2.66090290396797\n", + "\\item 3.60395107818176\n", + "\\item 0.84908852778945\n", + "\\item 6.89333388202692\n", + "\\item 6.3416091260163\n", + "\\item 2.06631041327752\n", + "\\item 0.922106884952717\n", + "\\item 1.26117958160293\n", + "\\item 1.65453795420402\n", + "\\item 1.06788402782149\n", + "\\item 1.77954517093897\n", + "\\item 2.72926885210751\n", + "\\item 1.83262868422017\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 3.48661285509131\n", + "\\item 4.66126675793736\n", + "\\item 7.78800943287619\n", + "\\item 3.42986600309031\n", + "\\item 4.49668975987794\n", + "\\item 5.79791578125878\n", + "\\item 3.4716099753159\n", + "\\item 3.57838344113571\n", + "\\item 3.09920897262586\n", + "\\item 11.3834583009092\n", + "\\item 7.53093869379494\n", + "\\item 3.45303469726856\n", + "\\item 8.39472244982126\n", + "\\item 3.37508382071225\n", + "\\item 5.59942295912601\n", + "\\item 1.66918673822002\n", + "\\item 4.79825283050818\n", + "\\item 1.80307964478831\n", + "\\item 5.993890797697\n", + "\\item 8.085234773759\n", + "\\item 5.60973393097146\n", + "\\item 4.2744042341778\n", + "\\item 6.55357566591128\n", + "\\item 7.77405831683621\n", + "\\item 9.39409829354589\n", + "\\item 2.86353613733475\n", + "\\item 6.79639340932237\n", + "\\item 3.0833569460351\n", + "\\item 5.38978519603565\n", + "\\item 10.7112665811121\n", + "\\item 5.43881007719261\n", + "\\item 5.3622216919971\n", + "\\item 6.6605099608087\n", + "\\item 5.36168772085437\n", + "\\item 3.44573446937758\n", + "\\item 5.42497494004645\n", + "\\item 9.32616612070103\n", + "\\item 2.392503643462\n", + "\\item 5.99362753847443\n", + "\\item 6.07145910714583\n", + "\\item 6.44614023080021\n", + "\\item 6.92529768979283\n", + "\\item 7.24723897771229\n", + "\\item 4.46071098760974\n", + "\\item 5.59298206624259\n", + "\\item 4.00154935984733\n", + "\\item 3.00217986369245\n", + "\\item 4.06973796718424\n", + "\\item 4.77840113436891\n", + "\\item 7.9559726694166\n", + "\\item 8.84779232881735\n", + "\\item 2.61992426208352\n", + "\\item 7.14054650947536\n", + "\\item 7.74248467904814\n", + "\\item 3.97905994392941\n", + "\\item 5.41115732964243\n", + "\\item 6.57703644554474\n", + "\\item 9.23757708655127\n", + "\\item 5.50868782902284\n", + "\\item 4.71092835858278\n", + "\\item 2.96793774575056\n", + "\\item 5.6640970433658\n", + "\\item 9.49942727485825\n", + "\\item 7.3245582131152\n", + "\\item 2.27736420424888\n", + "\\item 5.12392476414004\n", + "\\item 4.21711281494455\n", + "\\item 11.0373307945819\n", + "\\item 7.37211124022718\n", + "\\item 3.17787936050401\n", + "\\item 4.64692822941772\n", + "\\item 6.57380028979471\n", + "\\item 6.42090938938591\n", + "\\item 8.47832205876321\n", + "\\item 11.0427768306318\n", + "\\item 4.1614321365209\n", + "\\item 4.36589676869638\n", + "\\item 4.41317741252987\n", + "\\item 6.35196400776173\n", + "\\item 7.53395092029084\n", + "\\item 4.82645643007696\n", + "\\item 5.82414316923866\n", + "\\item 2.51358796215667\n", + "\\item 6.11223222115336\n", + "\\item 3.32160433503759\n", + "\\item 6.22282925420808\n", + "\\item 2.82327468797282\n", + "\\item 2.4384781208294\n", + "\\item 2.42412007680761\n", + "\\item 6.01672018919123\n", + "\\item 9.7644942750278\n", + "\\item 6.5611716662387\n", + "\\item 1.62462087796028\n", + "\\item 6.66266906429602\n", + "\\item 6.16460222032915\n", + "\\item 4.33369822646539\n", + "\\item 9.31632915347516\n", + "\\item 2.69236397508671\n", + "\\item 5.62214040369034\n", + "\\item 9.00332962873959\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 5.82196661234418\n", + "\\item 6.3440849971557\n", + "\\item 7.92242456695107\n", + "\\item 5.8553673869129\n", + "\\item 8.35538932674749\n", + "\\item 5.62087169550409\n", + "\\item 6.22999510963976\n", + "\\item 4.30574014375649\n", + "\\item 9.53370190670528\n", + "\\item 3.52958824476949\n", + "\\item 7.51714033805879\n", + "\\item 4.21238230832796\n", + "\\item 3.63710982752803\n", + "\\item 8.31209451982419\n", + "\\item 1.96719118185958\n", + "\\item 5.7982957842364\n", + "\\item 5.61188736039403\n", + "\\item 4.69372670919363\n", + "\\item 2.09676244157449\n", + "\\item 6.30797735600883\n", + "\\item 5.43377300717187\n", + "\\item 5.59564234218355\n", + "\\item 5.83121117782475\n", + "\\item 0.987783193434179\n", + "\\item 3.5436457180677\n", + "\\item 1.44658974655749\n", + "\\item 4.28785718132334\n", + "\\item 5.93588631332788\n", + "\\item 4.79159380746777\n", + "\\item 8.23783047795602\n", + "\\item 2.35320405219643\n", + "\\item 5.29949318438915\n", + "\\item 4.42333815343767\n", + "\\item 6.3123451276608\n", + "\\item 5.23061868198891\n", + "\\item 12.1465579246787\n", + "\\item 1.37744506401689\n", + "\\item 2.56268281637165\n", + "\\item 7.84585053597922\n", + "\\item 6.71513369320806\n", + "\\item 5.65778356189898\n", + "\\item 8.27959696625656\n", + "\\item 10.8939064033024\n", + "\\item 4.28605158447957\n", + "\\item 9.91260964873328\n", + "\\item 5.67630228180108\n", + "\\item 8.43574161552146\n", + "\\item 2.42162337265725\n", + "\\item 2.24456665604841\n", + "\\item 6.68061478867835\n", + "\\item 5.55792034515452\n", + "\\item 5.97166448845353\n", + "\\item 2.55997164427666\n", + "\\item 6.97660756302482\n", + "\\item 3.3036417453396\n", + "\\item 5.40966697501337\n", + "\\item 6.27369651865841\n", + "\\item 1.61546150276243\n", + "\\item 4.59821373939856\n", + "\\item 5.38477602828032\n", + "\\item 2.23701788151851\n", + "\\item 11.8297836975992\n", + "\\item 4.69687878397786\n", + "\\item 7.44608070567787\n", + "\\item 4.268576611499\n", + "\\item 6.88527504317753\n", + "\\item 3.69950316446234\n", + "\\item 5.09521978991863\n", + "\\item 2.69311313361603\n", + "\\item 4.71535964347879\n", + "\\item 6.11661076693551\n", + "\\item 9.54553203327212\n", + "\\item 3.48109632074146\n", + "\\item 4.72201709642203\n", + "\\item 6.91999870715813\n", + "\\item 11.1544310381634\n", + "\\item 2.54224368162605\n", + "\\item 3.43039395674078\n", + "\\item 3.434047058007\n", + "\\item 3.43389253608528\n", + "\\item 3.83302602836636\n", + "\\item 4.32685165130203\n", + "\\item 5.17078950561172\n", + "\\item 3.64635091852092\n", + "\\item 4.34878689607615\n", + "\\item 4.76228473644032\n", + "\\item 1.66542025911393\n", + "\\item 4.80854871412486\n", + "\\item 4.74110239408286\n", + "\\item 4.7694449711018\n", + "\\item 6.70865974217386\n", + "\\item 4.90501766107145\n", + "\\item 4.56464214170722\n", + "\\item 4.02154553087371\n", + "\\item 7.04186132005635\n", + "\\item 5.44378954416218\n", + "\\item 2.8552623573378\n", + "\\item 6.15858170203135\n", + "\\item 6.21409586852007\n", + "\\item 8.62162793864849\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 6.57255235216265\n", + "\\item 5.70181355601158\n", + "\\item 4.0230075262997\n", + "\\item 3.40910692542921\n", + "\\item 6.0400899102248\n", + "\\item 2.06633145992256\n", + "\\item 4.68007431619482\n", + "\\item 7.76037911053333\n", + "\\item 4.95323161732713\n", + "\\item 1.43560788144912\n", + "\\item 6.35995174782748\n", + "\\item 5.89914436638882\n", + "\\item 1.60249336150285\n", + "\\item 4.18883223686486\n", + "\\item 1.48991723891449\n", + "\\item 2.0043266252477\n", + "\\item 5.24117648790127\n", + "\\item 0.644130329854581\n", + "\\item 4.82090280982217\n", + "\\item 1.51811866067879\n", + "\\item 5.74218188776276\n", + "\\item 4.5603833068563\n", + "\\item 4.22191342946908\n", + "\\item 5.69962964017842\n", + "\\item 4.3383583270356\n", + "\\item 1.84688975126312\n", + "\\item 6.51077896384864\n", + "\\item 1.87965998047538\n", + "\\item 5.256345298422\n", + "\\item 7.90952121732168\n", + "\\item 1.19315384920659\n", + "\\item 7.04315264687979\n", + "\\item 5.25953488683417\n", + "\\item 5.74524694491661\n", + "\\item 3.04915634366225\n", + "\\item 3.57493111666224\n", + "\\item 4.42004452848422\n", + "\\item 9.12579990606482\n", + "\\item 10.4310779434241\n", + "\\item 2.35217457214267\n", + "\\item 5.20789174578241\n", + "\\item 3.60247452510239\n", + "\\item 1.5373486789872\n", + "\\item 4.31985567770418\n", + "\\item 4.87558721329283\n", + "\\item 2.96235548649209\n", + "\\item 2.85612780621583\n", + "\\item 3.18904358947389\n", + "\\item 6.11508817730956\n", + "\\item 1.55179399804595\n", + "\\item 5.70589063126059\n", + "\\item 9.00926971181126\n", + "\\item 5.28256333216013\n", + "\\item 10.2321706121322\n", + "\\item 4.80727088828357\n", + "\\item 3.78675563533258\n", + "\\item 4.14150415509281\n", + "\\item 1.73700268895861\n", + "\\item 3.3268102824309\n", + "\\item 1.65746873903754\n", + "\\item 2.1869960063109\n", + "\\item 4.17910768536135\n", + "\\item 3.54637826114924\n", + "\\item 6.57761765181824\n", + "\\item 8.49294731618829\n", + "\\item 3.64759544440366\n", + "\\item 2.35880213797694\n", + "\\item 1.7049665898066\n", + "\\item 3.08732025390572\n", + "\\item 2.34843238467199\n", + "\\item 4.42988550185968\n", + "\\item 5.34568162913167\n", + "\\item 6.79956242762199\n", + "\\item 5.24203361577532\n", + "\\item 3.7776551874024\n", + "\\item 4.5386283444628\n", + "\\item 4.44188783855468\n", + "\\item 3.02993975090394\n", + "\\item 1.65895111337368\n", + "\\item 2.61454742411464\n", + "\\item 5.28094134034141\n", + "\\item 1.42350387218384\n", + "\\item 3.78808382769343\n", + "\\item 1.03522109311924\n", + "\\item 3.31014344660626\n", + "\\item 1.04730610380482\n", + "\\item 2.01586816011924\n", + "\\item 1.91109383732418\n", + "\\item 2.65447772763786\n", + "\\item 4.86371277776315\n", + "\\item 4.46179695473478\n", + "\\item 1.43914165156692\n", + "\\item 5.48444508977333\n", + "\\item 5.77530035466912\n", + "\\item 1.13350193640352\n", + "\\item 3.24055377677617\n", + "\\item 0.609933184694958\n", + "\\item 10.4406373963521\n", + "\\item 4.84226643112957\n", + "\\item 3.25106785560855\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 4.44751455265737\n", + "\\item 3.14942218725516\n", + "\\item 7.28344105664406\n", + "\\item 3.77871904175937\n", + "\\item 5.87421862216903\n", + "\\item 1.33392035896608\n", + "\\item 8.67764875674796\n", + "\\item 4.48602275819072\n", + "\\item 4.83330317326315\n", + "\\item 4.54382803446352\n", + "\\item 4.75457249519372\n", + "\\item 2.61931598788459\n", + "\\item 1.94499880582556\n", + "\\item 2.79311074341478\n", + "\\item 2.39778650335487\n", + "\\item 3.28820854478449\n", + "\\item 5.34741139520915\n", + "\\item 6.11961508693143\n", + "\\item 8.34932462366814\n", + "\\item 0.530076432461662\n", + "\\item 1.50417878558613\n", + "\\item 2.42240662229553\n", + "\\item 1.48182549550146\n", + "\\item 5.69673338418503\n", + "\\item 2.33098969723854\n", + "\\item 4.65988445078399\n", + "\\item 4.27442623780564\n", + "\\item 4.41301805127891\n", + "\\item 3.27923780329066\n", + "\\item 5.17753653255897\n", + "\\item 4.27090415612816\n", + "\\item 6.74273808559724\n", + "\\item 4.06901552208314\n", + "\\item 10.2890414895646\n", + "\\item 4.10454121861156\n", + "\\item 4.78241521659887\n", + "\\item 1.38784301826642\n", + "\\item 4.17541509265395\n", + "\\item 1.96969043737546\n", + "\\item 7.01183308274637\n", + "\\item 1.26189044968501\n", + "\\item 4.001839985779\n", + "\\item 6.14024653847978\n", + "\\item 5.96613912733485\n", + "\\item 3.33149779831049\n", + "\\item 2.26713415515319\n", + "\\item 5.19876579821278\n", + "\\item 4.97854809643984\n", + "\\item 3.48408470850706\n", + "\\item 4.34923240809125\n", + "\\item 0.825296513573258\n", + "\\item 8.52518918541646\n", + "\\item 5.87329867184069\n", + "\\item 1.46183435791116\n", + "\\item 0.921912642777703\n", + "\\item 4.74102188015177\n", + "\\item 6.80317169145167\n", + "\\item 5.53105167572442\n", + "\\item 2.67305476478806\n", + "\\item 4.2446372991169\n", + "\\item 4.92124029450493\n", + "\\item 3.22452342160161\n", + "\\item 9.54659925639583\n", + "\\item 3.43419685681408\n", + "\\item 5.27924052364862\n", + "\\item 1.41090268777412\n", + "\\item 1.56041560268931\n", + "\\item 2.12754111070338\n", + "\\item 1.43550732003307\n", + "\\item 2.01032524555507\n", + "\\item 2.39743863413821\n", + "\\item 3.40527033196869\n", + "\\item 4.53989534049424\n", + "\\item 4.58258543284745\n", + "\\item 4.11094270540803\n", + "\\item 5.6798607188524\n", + "\\item 5.30437955809858\n", + "\\item 1.56730535956269\n", + "\\item 2.2734593862228\n", + "\\item 5.16713526829754\n", + "\\item 2.41465833123418\n", + "\\item 4.82097237440982\n", + "\\item 2.47991288695669\n", + "\\item 2.24531738237942\n", + "\\item 4.72570219492889\n", + "\\item 5.43791890061593\n", + "\\item 3.23282287178911\n", + "\\item 3.92849159054942\n", + "\\item 1.78887965901287\n", + "\\item 6.85362012046468\n", + "\\item 1.9934826130995\n", + "\\item 4.0271971035878\n", + "\\item 5.15249567499092\n", + "\\item 3.00439077366048\n", + "\\item 4.59860269832018\n", + "\\item 4.25113334473292\n", + "\\item 3.8528993236297\n", + "\\item 4.40966018031249\n", + "\\item 6.43495260694734\n", + "\\item 2.49686378915133\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 1.51375439665552\n", + "\\item 4.47753110955158\n", + "\\item 4.14614726873427\n", + "\\item 2.07517464146265\n", + "\\item 5.53924784218249\n", + "\\item 3.69268820098544\n", + "\\item 3.65318702267366\n", + "\\item 1.42907263600846\n", + "\\item 3.75915556133581\n", + "\\item 4.18485668907094\n", + "\\item 3.04534106422614\n", + "\\item 4.39668900686239\n", + "\\item 4.41681250146186\n", + "\\item 3.22287113131053\n", + "\\item 5.84467956609512\n", + "\\item 2.03679453903511\n", + "\\item 8.17323548332712\n", + "\\item 9.34728150163362\n", + "\\item 2.83621657199905\n", + "\\item 5.7937314935508\n", + "\\item 6.63767241439246\n", + "\\item 2.84666187633033\n", + "\\item 2.25904818649522\n", + "\\item 1.87798919013116\n", + "\\item 4.2735673391445\n", + "\\item 5.43804052468279\n", + "\\item 4.1585433918703\n", + "\\item 2.01144201367877\n", + "\\item 1.09816840973608\n", + "\\item 5.67437295810008\n", + "\\item 2.932844767929\n", + "\\item 4.39341628059227\n", + "\\item 4.32195504689816\n", + "\\item 5.55539617899728\n", + "\\item 1.91489279774578\n", + "\\item 2.38635735857761\n", + "\\item 4.98348643781461\n", + "\\item 2.40175556984997\n", + "\\item 1.81274335106528\n", + "\\item 3.1731093704082\n", + "\\item 1.62351576827933\n", + "\\item 4.1175142032787\n", + "\\item 8.15433311471602\n", + "\\item 2.56648547683552\n", + "\\item 6.30681157019655\n", + "\\item 8.1353199173184\n", + "\\item 2.31688498219254\n", + "\\item 4.99591688913709\n", + "\\item 4.92607000190351\n", + "\\item 1.42724797684055\n", + "\\item 3.87354883363378\n", + "\\item 8.36562136522861\n", + "\\item 4.08750608177409\n", + "\\item 2.49394198722645\n", + "\\item 0.855323237211097\n", + "\\item 5.15001170526212\n", + "\\item 2.61900521865559\n", + "\\item 3.10336190694571\n", + "\\item 1.79196246329899\n", + "\\item 1.62019891042657\n", + "\\item 3.07272855942538\n", + "\\item 2.30194041920034\n", + "\\item 3.92164022522358\n", + "\\item 2.83159003312629\n", + "\\item 5.59052537832869\n", + "\\item 1.9679600893414\n", + "\\item 3.52438902416667\n", + "\\item 3.40291427308689\n", + "\\item 11.1576065165157\n", + "\\item 5.8251301622305\n", + "\\item 1.85349948312501\n", + "\\item 5.78028545056817\n", + "\\item 5.76376091638796\n", + "\\item 2.19013004150852\n", + "\\item 2.80000377793151\n", + "\\item 2.63874585041507\n", + "\\item 4.04071012169679\n", + "\\item 6.20945295587978\n", + "\\item 3.61743417622101\n", + "\\item 3.79300639974168\n", + "\\item 4.40570217621404\n", + "\\item 4.40373564811017\n", + "\\item 3.18638833079158\n", + "\\item 3.49395201109671\n", + "\\item 3.83710616319332\n", + "\\item 3.43875662322798\n", + "\\item 7.07786957844511\n", + "\\item 4.05118161316334\n", + "\\item 4.9924460370397\n", + "\\item 1.23526480623016\n", + "\\item 8.11537996426824\n", + "\\item 6.14403842054554\n", + "\\item 1.26301944543237\n", + "\\item 5.04672909238209\n", + "\\item 1.97764221677317\n", + "\\item 2.5513465238087\n", + "\\item 2.12053475950829\n", + "\\item 4.67736025377998\n", + "\\item 4.91444521698299\n", + "\\item 5.63116691442471\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 0.798550179401368\n", + "\\item 0.923742335699283\n", + "\\item 5.80692225457495\n", + "\\item 5.26736674325647\n", + "\\item 2.50902826487478\n", + "\\item 4.29997968805775\n", + "\\item 9.93092101193212\n", + "\\item 4.16249324402896\n", + "\\item 4.08357584215466\n", + "\\item 1.10860331406563\n", + "\\item 6.71707659418019\n", + "\\item 5.80536127474914\n", + "\\item 5.82131795129732\n", + "\\item 1.46407135871037\n", + "\\item 7.68472629372381\n", + "\\item 9.85991978597532\n", + "\\item 3.53062498854398\n", + "\\item 4.85156337373068\n", + "\\item 2.54409373558608\n", + "\\item 6.52226573185941\n", + "\\item 9.764882523667\n", + "\\item 6.8960146210824\n", + "\\item 9.25856470871389\n", + "\\item 1.29545086440099\n", + "\\item 2.35597129299289\n", + "\\item 2.92436483697123\n", + "\\item 1.84049172919322\n", + "\\item 1.72046669504032\n", + "\\item 9.08529434462761\n", + "\\item 4.69028561209151\n", + "\\item 5.82465864559408\n", + "\\item 5.90705401874733\n", + "\\item 4.01740871427286\n", + "\\item 1.49135361922049\n", + "\\item 3.87527755263613\n", + "\\item 5.1423330902291\n", + "\\item 5.13754763128956\n", + "\\item 6.14065116419446\n", + "\\item 3.36705865008199\n", + "\\item 2.20449184002124\n", + "\\item 1.66616255474929\n", + "\\item 5.31724759742202\n", + "\\item 7.43361210281145\n", + "\\item 5.79248201860302\n", + "\\item 2.7793469289098\n", + "\\item 3.74545656950086\n", + "\\item 4.50876694359768\n", + "\\item 3.02550445843213\n", + "\\item 5.15761092632977\n", + "\\item 1.49918214982372\n", + "\\item 6.27867803639517\n", + "\\item 7.08530786945821\n", + "\\item 2.40183329280945\n", + "\\item 3.55952707260659\n", + "\\item 5.62016085573608\n", + "\\item 4.51996678784769\n", + "\\item 2.47352281259584\n", + "\\item 6.96193869125596\n", + "\\item 1.40413755881777\n", + "\\item 5.93852165338511\n", + "\\item 2.33925849275367\n", + "\\item 5.70667832015029\n", + "\\item 3.1117957788759\n", + "\\item 1.42356417217865\n", + "\\item 5.77400423455833\n", + "\\item 2.17066651272347\n", + "\\item 3.02605451456146\n", + "\\item 4.78698030105812\n", + "\\item 0.822567216353025\n", + "\\item 4.67166970768179\n", + "\\item 5.21581624800457\n", + "\\item 7.37549243283401\n", + "\\item 8.52054024637886\n", + "\\item 4.76115963563978\n", + "\\item 4.17349624886973\n", + "\\item 4.59846143480839\n", + "\\item 4.82395826715324\n", + "\\item 5.56730548773498\n", + "\\item 6.11786950257202\n", + "\\item 4.78142592725267\n", + "\\item 5.41777262375951\n", + "\\item 4.84969345917657\n", + "\\item 1.78309809536849\n", + "\\item 7.01642519022422\n", + "\\item 10.4795878017509\n", + "\\item 4.36299248528738\n", + "\\item 8.23163145616919\n", + "\\item 7.41817629330243\n", + "\\item 3.37881064744991\n", + "\\item 9.58956242715101\n", + "\\item 8.56005833373336\n", + "\\item 4.41114465653664\n", + "\\item 3.79833355261353\n", + "\\item 5.08973952229395\n", + "\\item 2.91791303540019\n", + "\\item 1.86194596305191\n", + "\\item 5.1556587050125\n", + "\\item 3.65049930252726\n", + "\\item 5.4767284373068\n", + "\\item 6.83189382136618\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 0.864248860746498\n", + "\\item 1.15484860117724\n", + "\\item 2.59714985529143\n", + "\\item 6.22700556559461\n", + "\\item 9.91773645335148\n", + "\\item 4.71889432347649\n", + "\\item 3.24684596452741\n", + "\\item 1.41318516130885\n", + "\\item 2.11384055448055\n", + "\\item 6.38194694816392\n", + "\\item 5.03273079742121\n", + "\\item 5.21845576497706\n", + "\\item 10.028839968036\n", + "\\item 3.08357861544214\n", + "\\item 4.86981817772435\n", + "\\item 4.09452225146458\n", + "\\item 5.22067513017165\n", + "\\item 3.52610801993777\n", + "\\item 1.44882631474027\n", + "\\item 3.19709426868719\n", + "\\item 1.43372560851883\n", + "\\item 2.6136473162444\n", + "\\item 2.57853880586019\n", + "\\item 6.30547656982644\n", + "\\item 2.87913745534\n", + "\\item 5.29325859694291\n", + "\\item 4.32750076564561\n", + "\\item 1.13263963748403\n", + "\\item 5.20747534203781\n", + "\\item 2.44628027936495\n", + "\\item 4.56218846354685\n", + "\\item 9.004599777701\n", + "\\item 2.75661215976526\n", + "\\item 1.98006935099698\n", + "\\item 4.46720196727053\n", + "\\item 2.17821664402199\n", + "\\item 4.55373245941085\n", + "\\item 1.51355853792104\n", + "\\item 1.57173846960718\n", + "\\item 1.9602465742387\n", + "\\item 1.71942702604693\n", + "\\item 1.32679407717308\n", + "\\item 8.21898871200542\n", + "\\item 3.18272222326128\n", + "\\item 7.03206328048234\n", + "\\item 4.24983172224388\n", + "\\item 4.10544714937121\n", + "\\item 1.76936386663209\n", + "\\item 5.9769785423522\n", + "\\item 2.18549408534674\n", + "\\item 9.17315285976485\n", + "\\item 6.95513035274158\n", + "\\item 1.48569924757035\n", + "\\item 5.64404723896267\n", + "\\item 2.59216757093289\n", + "\\item 1.15844789245421\n", + "\\item 5.9609924776401\n", + "\\item 1.8942592768867\n", + "\\item 5.28009811803447\n", + "\\item 0.778723662920295\n", + "\\item 1.6759297343443\n", + "\\item 4.9932820631922\n", + "\\item 1.17538509333124\n", + "\\item 7.4438168487321\n", + "\\item 4.83211860442465\n", + "\\item 4.27894534441447\n", + "\\item 6.81943610713943\n", + "\\item 1.73570862882857\n", + "\\item 4.72884126789458\n", + "\\item 4.01305559305869\n", + "\\item 4.61249921822492\n", + "\\item 8.48602626409846\n", + "\\item 2.02635516282881\n", + "\\item 8.29710897010386\n", + "\\item 1.62315947913346\n", + "\\item 1.77066845540692\n", + "\\item 2.32931708918823\n", + "\\item 2.64087424896601\n", + "\\item 7.29781436001596\n", + "\\item 6.86175865912156\n", + "\\item 5.4970543578394\n", + "\\item 5.05256754540549\n", + "\\item 0.836952411706023\n", + "\\item 2.0973156617608\n", + "\\item 2.85883201512832\n", + "\\item 2.15066816286559\n", + "\\item 7.36505597360661\n", + "\\item 4.45191587753493\n", + "\\item 5.73299766505395\n", + "\\item 2.03795820052907\n", + "\\item 3.88535890031272\n", + "\\item 0.743072959908006\n", + "\\item 4.40205092497136\n", + "\\item 5.32482066065398\n", + "\\item 8.04777845890047\n", + "\\item 2.09377942892305\n", + "\\item 1.75164411693257\n", + "\\item 1.19538575238583\n", + "\\item 2.36796260556974\n", + "\\item 2.82869337821629\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 4.77751783555993\n", + "\\item 1.50181340690474\n", + "\\item 8.25315485509176\n", + "\\item 8.82498067511228\n", + "\\item 5.00245195143103\n", + "\\item 4.61269762570983\n", + "\\item 1.94354951422437\n", + "\\item 4.71175456599913\n", + "\\item 8.56202903701695\n", + "\\item 3.17524115933875\n", + "\\item 4.02976535475286\n", + "\\item 6.02003817990587\n", + "\\item 2.66550093025231\n", + "\\item 8.70926809126115\n", + "\\item 2.28556264117042\n", + "\\item 2.52862548297492\n", + "\\item 5.63332687485129\n", + "\\item 1.02580534646053\n", + "\\item 4.11869644669669\n", + "\\item 5.23088208372365\n", + "\\item 4.81915597546768\n", + "\\item 2.3958989986212\n", + "\\item 3.17935278587101\n", + "\\item 4.03554291222752\n", + "\\item 6.24293939992741\n", + "\\item 3.13791590113189\n", + "\\item 1.30108875329732\n", + "\\item 2.47958070899339\n", + "\\item 6.58794347313938\n", + "\\item 1.72030330415514\n", + "\\item 5.76915166888579\n", + "\\item 2.67088426136107\n", + "\\item 1.37925425338048\n", + "\\item 4.54179023843474\n", + "\\item 6.34911196183524\n", + "\\item 5.35304220278855\n", + "\\item 3.79733669943662\n", + "\\item 6.9100526755127\n", + "\\item 6.43327371482268\n", + "\\item 6.14813376420596\n", + "\\item 5.05048186333306\n", + "\\item 5.05264670991222\n", + "\\item 3.83433293115578\n", + "\\item 2.26192864381509\n", + "\\item 3.08707353259043\n", + "\\item 2.44305116614695\n", + "\\item 3.06245139716255\n", + "\\item 1.51997415046064\n", + "\\item 4.14685269635558\n", + "\\item 3.18585116948172\n", + "\\item 2.8203930881321\n", + "\\item 2.32319306310323\n", + "\\item 5.502792390916\n", + "\\item 3.62245540570518\n", + "\\item 6.99704023789941\n", + "\\item 1.96630681109209\n", + "\\item 5.07291019134841\n", + "\\item 5.27686577609213\n", + "\\item 4.72667038522742\n", + "\\item 5.58363484889539\n", + "\\item 8.63437964319233\n", + "\\item 5.95721900992292\n", + "\\item 1.02558625548393\n", + "\\item 6.88165152471318\n", + "\\item 4.55766525697807\n", + "\\item 3.1252902196425\n", + "\\item 3.77711129779361\n", + "\\item 5.67132762366766\n", + "\\item 2.36266293934458\n", + "\\item 6.3407989456477\n", + "\\item 6.42144109351047\n", + "\\item 5.20313555603971\n", + "\\item 4.13118905463681\n", + "\\item 4.51702921354012\n", + "\\item 3.82675592165334\n", + "\\item 4.62911470590345\n", + "\\item 3.38519911411192\n", + "\\item 3.55762529402159\n", + "\\item 6.08234994209306\n", + "\\item 2.98132110665515\n", + "\\item 3.26805106670941\n", + "\\item 4.89828615617531\n", + "\\item 2.20953220751425\n", + "\\item 3.56176952786722\n", + "\\item 4.26268716916761\n", + "\\item 6.32436389533416\n", + "\\item 2.20529271483538\n", + "\\item 3.87296765032799\n", + "\\item 9.27590984074186\n", + "\\item 3.88793341108795\n", + "\\item 1.5163301157392\n", + "\\item 1.55697801979017\n", + "\\item 5.63153542217501\n", + "\\item 2.9099865494996\n", + "\\item 4.31993156823129\n", + "\\item 3.25115738355448\n", + "\\item 3.21630608265071\n", + "\\item 3.39392311699923\n", + "\\item 4.80856008727909\n", + "\\item 5.78557839441533\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 4.57126946057161\n", + "\\item 6.67789449202461\n", + "\\item 8.66144256251643\n", + "\\item 5.08386900505254\n", + "\\item 2.30698152773658\n", + "\\item 7.74280513653933\n", + "\\item 7.04367435993431\n", + "\\item 7.29566104291055\n", + "\\item 5.10324661066667\n", + "\\item 4.18370499455047\n", + "\\item 5.2351162734055\n", + "\\item 6.12270798861699\n", + "\\item 8.07533221059011\n", + "\\item 6.54842200256773\n", + "\\item 1.44711630315727\n", + "\\item 10.0708282135404\n", + "\\item 6.72025952182293\n", + "\\item 6.79482917890899\n", + "\\item 7.12188230886894\n", + "\\item 1.96824004379955\n", + "\\item 7.24745371989986\n", + "\\item 3.23249331240775\n", + "\\item 4.55688503688717\n", + "\\item 6.89095808900796\n", + "\\item 11.2491984772142\n", + "\\item 3.21493833278253\n", + "\\item 5.92363157411528\n", + "\\item 2.0434436301064\n", + "\\item 5.63282719494979\n", + "\\item 1.83848136654976\n", + "\\item 4.43534240119918\n", + "\\item 1.62696288552613\n", + "\\item 4.48271603769048\n", + "\\item 0.888087911017667\n", + "\\item 1.02492905420767\n", + "\\item 3.97245323242808\n", + "\\item 4.91648947437417\n", + "\\item 6.28689311385437\n", + "\\item 3.39036953020881\n", + "\\item 3.66685122960235\n", + "\\item 5.10569272948829\n", + "\\item 3.63785753121367\n", + "\\item 5.79480153133099\n", + "\\item 5.73731183117931\n", + "\\item 2.06064135505717\n", + "\\item 6.86320635767114\n", + "\\item 7.38812059862335\n", + "\\item 9.69628073975643\n", + "\\item 4.49287728187392\n", + "\\item 10.5455924850037\n", + "\\item 3.96610803112858\n", + "\\item 1.83871112553978\n", + "\\item 2.47164880862859\n", + "\\item 4.51672604791666\n", + "\\item 8.48521359973934\n", + "\\item 4.61596190107504\n", + "\\item 3.73383272665975\n", + "\\item 3.77793332394955\n", + "\\item 5.06093746167596\n", + "\\item 6.82789992096864\n", + "\\item 0.794439113170829\n", + "\\item 5.27295119194807\n", + "\\item 3.01462467010128\n", + "\\item 5.36740710722695\n", + "\\item 4.79853599178977\n", + "\\item 6.88229870797736\n", + "\\item 2.90407608934002\n", + "\\item 5.0456171888329\n", + "\\item 6.84460280973204\n", + "\\item 3.0106792374973\n", + "\\item 4.75583394530189\n", + "\\item 2.72691823572397\n", + "\\item 2.81600610029068\n", + "\\item 6.4369338851798\n", + "\\item 4.93477380113252\n", + "\\item 8.86229523172221\n", + "\\item 2.32986340433591\n", + "\\item 7.30818568713016\n", + "\\item 5.81068407440525\n", + "\\item 2.3111357039581\n", + "\\item 5.248009725324\n", + "\\item 6.16184711334239\n", + "\\item 3.18430083496391\n", + "\\item 5.37243936564175\n", + "\\item 6.67334375913578\n", + "\\item 5.94933145606543\n", + "\\item 4.66558905804633\n", + "\\item 6.32543115328418\n", + "\\item 4.13889607838576\n", + "\\item 7.68958884571917\n", + "\\item 5.18739363452738\n", + "\\item 5.51617411645692\n", + "\\item 5.43449147114348\n", + "\\item 2.45651674447292\n", + "\\item 5.73928226886792\n", + "\\item 2.81363685232315\n", + "\\item 2.67131015040992\n", + "\\item 2.78294355985262\n", + "\\item 6.22265905538699\n", + "\\item 5.01665141975664\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 1.76890301951349\n", + "\\item 2.35808133016208\n", + "\\item 2.32717963576327\n", + "\\item 1.01316212750966\n", + "\\item 3.16842886701011\n", + "\\item 2.371767499237\n", + "\\item 5.4321482676727\n", + "\\item 6.309141226879\n", + "\\item 3.30310747934082\n", + "\\item 1.47076833210492\n", + "\\item 2.0241974194176\n", + "\\item 0.706450142623091\n", + "\\item 1.4237629980295\n", + "\\item 4.92854523010404\n", + "\\item 6.12462690965654\n", + "\\item 2.13991511122868\n", + "\\item 1.64941919204715\n", + "\\item 5.95049973627339\n", + "\\item 2.04080286638916\n", + "\\item 5.65887317966678\n", + "\\item 2.14597982281958\n", + "\\item 4.91937749450455\n", + "\\item 2.18784884274075\n", + "\\item 1.82358446725639\n", + "\\item 2.70432029149942\n", + "\\item 7.85532649365976\n", + "\\item 1.70169920510855\n", + "\\item 1.60482054548604\n", + "\\item 2.28030628218061\n", + "\\item 2.38103084444185\n", + "\\item 3.69140919378551\n", + "\\item 5.01993513579494\n", + "\\item 1.67993980509774\n", + "\\item 6.84249096950267\n", + "\\item 2.03738155966197\n", + "\\item 1.76733405714144\n", + "\\item 1.39953649278469\n", + "\\item 4.60161694833327\n", + "\\item 4.07948819141959\n", + "\\item 2.4969775444667\n", + "\\item 0.647654284781368\n", + "\\item 2.74866501461501\n", + "\\item 1.98241083867288\n", + "\\item 1.3522876727035\n", + "\\item 1.24530416542352\n", + "\\item 1.19064488752225\n", + "\\item 1.80975191206809\n", + "\\item 6.84917851467468\n", + "\\item 2.17408146933423\n", + "\\item 1.95320826455444\n", + "\\item 1.66289807666762\n", + "\\item 1.47357892798773\n", + "\\item 4.60223350971\n", + "\\item 5.49934321501642\n", + "\\item 4.73216161030266\n", + "\\item 0.960089442652559\n", + "\\item 1.69257643347035\n", + "\\item 5.53034681551115\n", + "\\item 1.85841468458776\n", + "\\item 6.21060855537297\n", + "\\item 7.68376242838788\n", + "\\item 1.92138993759571\n", + "\\item 1.8104486831727\n", + "\\item 9.17549585661261\n", + "\\item 2.40373001941394\n", + "\\item 1.14742835126398\n", + "\\item 5.39934441962477\n", + "\\item 2.02391568762562\n", + "\\item 2.34335180824849\n", + "\\item 1.34530859748677\n", + "\\item 0.631007262470096\n", + "\\item 1.04488082206399\n", + "\\item 1.29306791527893\n", + "\\item 2.33599836266792\n", + "\\item 1.5091546562768\n", + "\\item 1.92062581932371\n", + "\\item 7.31072447260951\n", + "\\item 1.78085354949817\n", + "\\item 3.72662556859318\n", + "\\item 0.993406956587849\n", + "\\item 2.0778841940522\n", + "\\item 1.42705952042098\n", + "\\item 2.38551153295107\n", + "\\item 1.45128983404975\n", + "\\item 1.9458155814271\n", + "\\item 7.28996182405847\n", + "\\item 1.34557864272403\n", + "\\item 1.40484472812475\n", + "\\item 2.49251448417875\n", + "\\item 2.42247105972821\n", + "\\item 1.90905120829618\n", + "\\item 2.36341110525606\n", + "\\item 2.7495939038477\n", + "\\item 1.77684968635\n", + "\\item 1.55937636863072\n", + "\\item 1.48483136607147\n", + "\\item 1.37806901249374\n", + "\\item 2.10338829674666\n", + "\\item 2.0533066104242\n", + "\\item 2.25102566115827\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 1.68724685714191\n", + "\\item 6.74565703868783\n", + "\\item 2.05227579685218\n", + "\\item 4.62470949807199\n", + "\\item 4.35961833702995\n", + "\\item 7.03805100933127\n", + "\\item 6.91738080345335\n", + "\\item 1.65101826860077\n", + "\\item 5.75863073691877\n", + "\\item 8.15941994802588\n", + "\\item 6.63690643656374\n", + "\\item 1.90960321369548\n", + "\\item 3.97553051870025\n", + "\\item 5.59176808975252\n", + "\\item 0.951022814718906\n", + "\\item 5.61249523321017\n", + "\\item 8.34639659650653\n", + "\\item 5.22003267582681\n", + "\\item 3.36039501634152\n", + "\\item 4.97378123248922\n", + "\\item 7.3031570019723\n", + "\\item 8.48525909863797\n", + "\\item 7.51844557721893\n", + "\\item 1.99209000332753\n", + "\\item 2.68284280611456\n", + "\\item 3.00374012743892\n", + "\\item 2.66754453369689\n", + "\\item 5.18547150879402\n", + "\\item 5.31810238789214\n", + "\\item 2.68295614436435\n", + "\\item 7.61933576299034\n", + "\\item 1.20825848050844\n", + "\\item 6.18937092150357\n", + "\\item 1.77342506656351\n", + "\\item 4.1955770923176\n", + "\\item 1.54391116664641\n", + "\\item 6.14486253053876\n", + "\\item 3.77450182521995\n", + "\\item 8.29751606668701\n", + "\\item 2.79854468804304\n", + "\\item 5.9874683625307\n", + "\\item 4.4495072906609\n", + "\\item 4.75961576780932\n", + "\\item 6.9072694528598\n", + "\\item 3.39761345841932\n", + "\\item 3.81318847776908\n", + "\\item 2.24878593200296\n", + "\\item 4.7059875162537\n", + "\\item 4.31403880336294\n", + "\\item 1.99549915738472\n", + "\\item 6.62303308481327\n", + "\\item 4.93888799050867\n", + "\\item 4.03515860223552\n", + "\\item 8.32023340175775\n", + "\\item 6.93276126772945\n", + "\\item 5.23045296860607\n", + "\\item 2.95069349170613\n", + "\\item 6.78473401644452\n", + "\\item 4.07082337627285\n", + "\\item 6.06477218502409\n", + "\\item 3.1924197760028\n", + "\\item 2.46099328550326\n", + "\\item 3.58666575259936\n", + "\\item 3.13510988390331\n", + "\\item 6.69649840958025\n", + "\\item 7.26569780679599\n", + "\\item 2.54061982302086\n", + "\\item 8.53881027571375\n", + "\\item 3.00221870191138\n", + "\\item 2.46237442522211\n", + "\\item 1.5043483254728\n", + "\\item 4.02013594789082\n", + "\\item 6.45288263580192\n", + "\\item 6.66101552292097\n", + "\\item 1.67198192383781\n", + "\\item 2.84899978080922\n", + "\\item 9.41439438519734\n", + "\\item 7.10524346170967\n", + "\\item 3.42567545216714\n", + "\\item 4.61684580600752\n", + "\\item 2.73273369247762\n", + "\\item 8.67556445153399\n", + "\\item 6.68219910569444\n", + "\\item 3.8641769773138\n", + "\\item 3.17751040202421\n", + "\\item 4.97231501074581\n", + "\\item 9.22250835320553\n", + "\\item 7.51653425044393\n", + "\\item 3.44812462243703\n", + "\\item 3.37019850233068\n", + "\\item 5.53657783240604\n", + "\\item 3.53901827583571\n", + "\\item 7.84682149621883\n", + "\\item 2.94029390649876\n", + "\\item 5.93701060639764\n", + "\\item 7.2854715066372\n", + "\\item 8.0389513305499\n", + "\\item 7.12051800773126\n", + "\\item 8.02715666613302\n", + "\\item 0.464174419573987\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 2.36664681785727\n", + "\\item 2.77601294624839\n", + "\\item 2.38613122899192\n", + "\\item 4.49407238564666\n", + "\\item 5.70479349077544\n", + "\\item 2.02107135791292\n", + "\\item 3.03277077712552\n", + "\\item 1.26585722387425\n", + "\\item 2.60663605304721\n", + "\\item 0.968271582478798\n", + "\\item 1.26153244262782\n", + "\\item 3.02361969621647\n", + "\\item 6.19279825183431\n", + "\\item 4.15865897814283\n", + "\\item 2.91640071256775\n", + "\\item 1.18626334537743\n", + "\\item 3.62367043672678\n", + "\\item 3.13476048328428\n", + "\\item 1.16757630180125\n", + "\\item 2.13371341942681\n", + "\\item 2.30508613333178\n", + "\\item 3.28113363557286\n", + "\\item 0.910468479718342\n", + "\\item 2.82934823683648\n", + "\\item 7.17454821852384\n", + "\\item 9.27102598658334\n", + "\\item 4.23298345572091\n", + "\\item 2.73912137840392\n", + "\\item 2.15493618241705\n", + "\\item 2.1176285311807\n", + "\\item 7.76152584622374\n", + "\\item 3.15497836683579\n", + "\\item 4.16488010433798\n", + "\\item 1.99522540045737\n", + "\\item 7.14460783747474\n", + "\\item 1.6399682720975\n", + "\\item 9.29988614593807\n", + "\\item 1.00421914718954\n", + "\\item 4.14661842371022\n", + "\\item 4.05597621311141\n", + "\\item 3.81631346677624\n", + "\\item 5.49621282406382\n", + "\\item 2.78293351913579\n", + "\\item 4.63100572260854\n", + "\\item 7.41626676183171\n", + "\\item 4.98159053437918\n", + "\\item 3.87477677661819\n", + "\\item 3.57808369902723\n", + "\\item 2.41821392355958\n", + "\\item 4.06018144877877\n", + "\\item 1.73933882525882\n", + "\\item 2.30394374831065\n", + "\\item 3.47310211207815\n", + "\\item 3.66794425106924\n", + "\\item 1.66138121908064\n", + "\\item 3.52663246650176\n", + "\\item 4.32571189751078\n", + "\\item 5.2714383963109\n", + "\\item 0.917996115579281\n", + "\\item 4.94818581284054\n", + "\\item 3.15475732254757\n", + "\\item 1.34928899689317\n", + "\\item 4.41178282876862\n", + "\\item 6.39088086745739\n", + "\\item 1.14728970625118\n", + "\\item 3.51572691329325\n", + "\\item 6.53238843993024\n", + "\\item 8.47651191517359\n", + "\\item 2.17989085454754\n", + "\\item 3.5834778521308\n", + "\\item 4.46337856429022\n", + "\\item 0.74206741862672\n", + "\\item 1.77890603552098\n", + "\\item 7.03103159114305\n", + "\\item 6.79708021070178\n", + "\\item 1.66877862560933\n", + "\\item 1.65930707091079\n", + "\\item 2.06641233869669\n", + "\\item 4.6188084903449\n", + "\\item 2.22608289946346\n", + "\\item 4.5247607331794\n", + "\\item 6.76063160984919\n", + "\\item 3.96291159276653\n", + "\\item 1.6059723411629\n", + "\\item 3.22519059904037\n", + "\\item 5.44540620420698\n", + "\\item 1.26597844736615\n", + "\\item 4.41748823585523\n", + "\\item 1.95896668295379\n", + "\\item 1.94844358461935\n", + "\\item 2.48340730728561\n", + "\\item 1.84767360671631\n", + "\\item 4.60459124946241\n", + "\\item 2.1455819008596\n", + "\\item 6.19212283547296\n", + "\\item 6.17472109628057\n", + "\\item 5.04510878074405\n", + "\\item 2.62807125481203\n", + "\\item 10.9950404661993\n", + "\\item 1.74907606967841\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 5.62398110675792\n", + "\\item 5.68641255995366\n", + "\\item 2.36196789518933\n", + "\\item 0.855563942450975\n", + "\\item 2.59886217902757\n", + "\\item 7.60041373222786\n", + "\\item 4.5838122734276\n", + "\\item 5.36312398004334\n", + "\\item 1.32655785553643\n", + "\\item 0.883131784541811\n", + "\\item 6.25286085858813\n", + "\\item 3.24822909610501\n", + "\\item 3.93312507238832\n", + "\\item 2.66447314073024\n", + "\\item 6.87319725439073\n", + "\\item 0.72734678332967\n", + "\\item 3.95641891728055\n", + "\\item 3.55605706164376\n", + "\\item 4.5558571257781\n", + "\\item 2.20464974083312\n", + "\\item 5.05334987822719\n", + "\\item 4.42342398702277\n", + "\\item 6.78222616074616\n", + "\\item 2.42628752359015\n", + "\\item 1.43400208641987\n", + "\\item 3.82472076972783\n", + "\\item 4.82925469678008\n", + "\\item 3.64792995986784\n", + "\\item 2.94763349430715\n", + "\\item 3.35112698232879\n", + "\\item 1.10213949907312\n", + "\\item 2.64829260752775\n", + "\\item 2.22849488920324\n", + "\\item 4.70906479781339\n", + "\\item 2.49156368232667\n", + "\\item 1.4705913203373\n", + "\\item 2.81338788124063\n", + "\\item 4.33288166245358\n", + "\\item 2.46801568239411\n", + "\\item 4.46578904670329\n", + "\\item 3.67120508186403\n", + "\\item 3.70539216811631\n", + "\\item 2.88427673956826\n", + "\\item 5.04006325520057\n", + "\\item 6.14472049689907\n", + "\\item 1.97641698237625\n", + "\\item 3.84161299375885\n", + "\\item 5.50592452927114\n", + "\\item 6.88539486606607\n", + "\\item 1.33561607018903\n", + "\\item 4.81191731976499\n", + "\\item 8.49763880007359\n", + "\\item 5.44320737076765\n", + "\\item 2.71177624069938\n", + "\\item 3.61171025806985\n", + "\\item 2.34012411720224\n", + "\\item 4.11345676889389\n", + "\\item 2.02086910682288\n", + "\\item 0.731584867413021\n", + "\\item 1.97285184588474\n", + "\\item 2.90802786649531\n", + "\\item 1.27339602785075\n", + "\\item 0.968865903276661\n", + "\\item 3.11356364061014\n", + "\\item 5.96833454348547\n", + "\\item 2.38737670888344\n", + "\\item 5.23847411679569\n", + "\\item 2.00340874360239\n", + "\\item 4.65876639020708\n", + "\\item 5.88989056231236\n", + "\\item 4.80698663778913\n", + "\\item 1.37142284199291\n", + "\\item 1.70499554262267\n", + "\\item 2.2826669749161\n", + "\\item 2.33043764336848\n", + "\\item 2.33939243862777\n", + "\\item 6.14479504706258\n", + "\\item 1.06507076730129\n", + "\\item 7.44840930095078\n", + "\\item 1.73192065882674\n", + "\\item 5.84692384203525\n", + "\\item 0.721130168207449\n", + "\\item 8.70025465789412\n", + "\\item 1.55810629681131\n", + "\\item 0.52306237776899\n", + "\\item 4.03600221634411\n", + "\\item 3.52190849522985\n", + "\\item 1.36060912871804\n", + "\\item 6.54883771091863\n", + "\\item 3.82478701912917\n", + "\\item 6.77978985739357\n", + "\\item 2.59340344909351\n", + "\\item 3.75799624279437\n", + "\\item 5.20372956504532\n", + "\\item 2.25787579972875\n", + "\\item 3.00924321357015\n", + "\\item 4.94198687290991\n", + "\\item 4.74425243907728\n", + "\\item 1.6522630141544\n", + "\\item 3.73722704264112\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 7.90531782462874\n", + "\\item 7.20257655123111\n", + "\\item 5.6533401037784\n", + "\\item 7.56899961860696\n", + "\\item 2.58939305900031\n", + "\\item 5.49776533857881\n", + "\\item 5.18126355420917\n", + "\\item 1.57892394570075\n", + "\\item 1.75536185991529\n", + "\\item 3.16923811758399\n", + "\\item 7.72321615951583\n", + "\\item 7.67494029246021\n", + "\\item 7.97921414747413\n", + "\\item 4.00560530639551\n", + "\\item 6.88121858741306\n", + "\\item 8.60691391259484\n", + "\\item 1.53939159723576\n", + "\\item 6.52206177232123\n", + "\\item 3.02459952532313\n", + "\\item 2.84676533706148\n", + "\\item 7.03624579821638\n", + "\\item 4.70941210900667\n", + "\\item 5.25677218366363\n", + "\\item 5.27253219091009\n", + "\\item 5.24478412007212\n", + "\\item 4.42161092472613\n", + "\\item 3.3560263954528\n", + "\\item 5.26735331553799\n", + "\\item 5.54639243446525\n", + "\\item 4.80447775464904\n", + "\\item 2.00877716611255\n", + "\\item 5.68249958126617\n", + "\\item 1.64484768384717\n", + "\\item 4.77996566873754\n", + "\\item 7.77252567710155\n", + "\\item 10.1324141396795\n", + "\\item 5.98460470730715\n", + "\\item 7.20990363016213\n", + "\\item 3.99068044173922\n", + "\\item 7.15105035593642\n", + "\\item 13.103124896867\n", + "\\item 5.42571071202057\n", + "\\item 3.55464663182209\n", + "\\item 8.81142720257678\n", + "\\item 4.23804188735546\n", + "\\item 6.15828589087086\n", + "\\item 8.91775529589952\n", + "\\item 1.77121125574905\n", + "\\item 4.78805677993846\n", + "\\item 2.56700219440337\n", + "\\item 5.53878262683257\n", + "\\item 4.71660045120364\n", + "\\item 8.03303017581091\n", + "\\item 5.29429917054268\n", + "\\item 2.68432311719526\n", + "\\item 3.58202058444011\n", + "\\item 4.13683526427099\n", + "\\item 7.8346773120235\n", + "\\item 1.70124394286585\n", + "\\item 5.34526257167202\n", + "\\item 3.29307790673731\n", + "\\item 3.07807978833358\n", + "\\item 4.46810657119909\n", + "\\item 6.70603347409933\n", + "\\item 9.51677935864208\n", + "\\item 9.35235308261427\n", + "\\item 5.70736539240379\n", + "\\item 9.66069096660915\n", + "\\item 1.51042076422242\n", + "\\item 7.23701128748002\n", + "\\item 6.77785574189856\n", + "\\item 3.49277128257123\n", + "\\item 2.31845472836781\n", + "\\item 7.23955234367888\n", + "\\item 3.82754711477808\n", + "\\item 5.35210095719964\n", + "\\item 2.32138800160338\n", + "\\item 5.20802447124672\n", + "\\item 7.49050237423831\n", + "\\item 1.78198479499639\n", + "\\item 2.03206019528869\n", + "\\item 7.97135561712661\n", + "\\item 3.57127024864494\n", + "\\item 8.56661841647173\n", + "\\item 5.61433816872817\n", + "\\item 3.57444797954702\n", + "\\item 9.39712728101147\n", + "\\item 3.65601133381828\n", + "\\item 9.46553427990786\n", + "\\item 8.37365606002236\n", + "\\item 2.90263409534986\n", + "\\item 3.27855505903102\n", + "\\item 6.26558677213685\n", + "\\item 5.21139913005243\n", + "\\item 4.29419135514377\n", + "\\item 6.10189298413976\n", + "\\item 7.83456158072985\n", + "\\item 4.63578236303666\n", + "\\item 10.8092324297904\n", + "\\item 4.78410419848852\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 1.92858267979847\n", + "\\item 2.45667867967509\n", + "\\item 5.40983138478311\n", + "\\item 4.23854469610801\n", + "\\item 3.8539555127365\n", + "\\item 3.64350380703555\n", + "\\item 5.48160244597936\n", + "\\item 2.37088364646444\n", + "\\item 3.80656887608981\n", + "\\item 3.84541922723865\n", + "\\item 7.85047633229938\n", + "\\item 1.2578939072354\n", + "\\item 4.33254837559678\n", + "\\item 2.16610452179504\n", + "\\item 3.25647487744186\n", + "\\item 2.78318564603223\n", + "\\item 7.1573982310228\n", + "\\item 3.73121055900275\n", + "\\item 1.96117677085909\n", + "\\item 1.05282147144184\n", + "\\item 4.79510160248661\n", + "\\item 4.57300423656086\n", + "\\item 4.14058324079775\n", + "\\item 4.07542872462257\n", + "\\item 8.77323271709911\n", + "\\item 1.09582461296871\n", + "\\item 1.68038984473763\n", + "\\item 2.50939939615437\n", + "\\item 1.48413677217943\n", + "\\item 2.55810344839692\n", + "\\item 7.08433942186827\n", + "\\item 6.25738709574697\n", + "\\item 1.82597398572648\n", + "\\item 2.69746964841467\n", + "\\item 2.10946639608503\n", + "\\item 5.04019199722145\n", + "\\item 2.31702956847806\n", + "\\item 3.02824680596251\n", + "\\item 3.16115561402284\n", + "\\item 0.607539496336267\n", + "\\item 4.21005945179356\n", + "\\item 7.46142505623914\n", + "\\item 6.13394172051576\n", + "\\item 4.29010211536866\n", + "\\item 3.21756566031033\n", + "\\item 4.7503755618283\n", + "\\item 3.0109352623241\n", + "\\item 4.80575750080885\n", + "\\item 4.48710038974147\n", + "\\item 3.20094331124274\n", + "\\item 4.22594009179389\n", + "\\item 4.7754874527556\n", + "\\item 2.72830272678367\n", + "\\item 6.08008902756599\n", + "\\item 6.30233865090427\n", + "\\item 5.51823371487881\n", + "\\item 7.12155176788912\n", + "\\item 2.75527886816835\n", + "\\item 1.88196539060849\n", + "\\item 4.6316655487501\n", + "\\item 5.753572808507\n", + "\\item 3.56347313717286\n", + "\\item 5.2006223463376\n", + "\\item 3.06690743375782\n", + "\\item 4.11732508402559\n", + "\\item 3.0003824851772\n", + "\\item 5.09566614303124\n", + "\\item 7.40802860947846\n", + "\\item 6.31471823552189\n", + "\\item 6.04169255143855\n", + "\\item 2.86456543393306\n", + "\\item 0.640414458655232\n", + "\\item 7.93205668300081\n", + "\\item 3.72416028325457\n", + "\\item 6.36921820719019\n", + "\\item 1.52185675017095\n", + "\\item 3.82604604781798\n", + "\\item 9.36279688548687\n", + "\\item 3.94750750958785\n", + "\\item 6.60583634462371\n", + "\\item 3.96456988293866\n", + "\\item 3.9221912207592\n", + "\\item 3.18355371001192\n", + "\\item 8.35316883878029\n", + "\\item 3.61002634367052\n", + "\\item 1.80075585655829\n", + "\\item 1.46170382067863\n", + "\\item 5.09050737073624\n", + "\\item 8.67175385337746\n", + "\\item 3.76282008539575\n", + "\\item 5.61272801798732\n", + "\\item 4.88968986489022\n", + "\\item 3.71654903171078\n", + "\\item 2.50674401716422\n", + "\\item 8.89696690734481\n", + "\\item 0.458652398843423\n", + "\\item 1.92299705264796\n", + "\\item 7.49407861460278\n", + "\\item 4.67517756630571\n", + "\\item 4.49758713212449\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 3.59028023387257\n", + "\\item 6.01251342849806\n", + "\\item 8.618265282966\n", + "\\item 4.41774413314925\n", + "\\item 4.09351050610562\n", + "\\item 3.18801230560855\n", + "\\item 3.91145339598298\n", + "\\item 9.50965808631363\n", + "\\item 2.64316825605868\n", + "\\item 1.55387565665353\n", + "\\item 4.59953165231454\n", + "\\item 4.31513002391714\n", + "\\item 5.20358144502151\n", + "\\item 3.59261480145641\n", + "\\item 11.7628753400434\n", + "\\item 8.8593635070269\n", + "\\item 4.69684738024792\n", + "\\item 1.956798774481\n", + "\\item 3.69949377824965\n", + "\\item 4.34542185692764\n", + "\\item 7.55280364569974\n", + "\\item 1.45455867261845\n", + "\\item 4.3531081408908\n", + "\\item 7.01094217278256\n", + "\\item 5.56780519172071\n", + "\\item 5.82428339970147\n", + "\\item 1.95477799414659\n", + "\\item 9.39237266697766\n", + "\\item 4.73243395870216\n", + "\\item 1.52603694574156\n", + "\\item 2.08718854587635\n", + "\\item 8.69656765774255\n", + "\\item 6.52344887753335\n", + "\\item 1.33449366404739\n", + "\\item 7.89920680250551\n", + "\\item 4.58230425848237\n", + "\\item 4.15788120063269\n", + "\\item 3.797425540728\n", + "\\item 10.1233111742835\n", + "\\item 6.89188528022441\n", + "\\item 5.34299976912578\n", + "\\item 2.43793869937055\n", + "\\item 5.35867076026804\n", + "\\item 3.48833208067212\n", + "\\item 6.53443285731655\n", + "\\item 3.52481335593989\n", + "\\item 4.64307763986938\n", + "\\item 4.48515384938232\n", + "\\item 3.23261270863304\n", + "\\item 2.76024768680497\n", + "\\item 1.97363237698098\n", + "\\item 1.0015445034076\n", + "\\item 5.16902881266169\n", + "\\item 6.64151505853051\n", + "\\item 8.66875197096133\n", + "\\item 5.22746740297675\n", + "\\item 7.06888927330999\n", + "\\item 4.04298795717853\n", + "\\item 6.74174517078659\n", + "\\item 2.00961476046592\n", + "\\item 2.93878769123303\n", + "\\item 3.09151833290652\n", + "\\item 3.74869615061374\n", + "\\item 6.61125072405665\n", + "\\item 4.57062865257686\n", + "\\item 4.01078863504626\n", + "\\item 8.15891238059483\n", + "\\item 7.26355790708185\n", + "\\item 5.91879640002429\n", + "\\item 5.52061569825871\n", + "\\item 3.7839179504047\n", + "\\item 2.64438725337069\n", + "\\item 5.7724879401703\n", + "\\item 5.58309958385448\n", + "\\item 4.19682963800992\n", + "\\item 6.99847077513961\n", + "\\item 9.18292545689315\n", + "\\item 4.30433955404019\n", + "\\item 5.26992589075173\n", + "\\item 5.64378831960982\n", + "\\item 5.0444372541286\n", + "\\item 8.00280299221965\n", + "\\item 6.17284055737545\n", + "\\item 8.37957184554523\n", + "\\item 3.19963884976345\n", + "\\item 2.75937565468969\n", + "\\item 5.24424439043278\n", + "\\item 9.88787261026108\n", + "\\item 5.39198579832037\n", + "\\item 2.88284820135011\n", + "\\item 5.53912705405402\n", + "\\item 2.12015165580105\n", + "\\item 5.80932474670468\n", + "\\item 3.4054931418835\n", + "\\item 4.29763107342855\n", + "\\item 6.96103520566554\n", + "\\item 4.87179490175875\n", + "\\item 3.17022563977758\n", + "\\item 9.12627469667802\n", + "\\item 5.12403113849852\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 1.94793670411395\n", + "\\item 3.16067267130492\n", + "\\item 3.8055622571335\n", + "\\item 2.75162273128246\n", + "\\item 4.37063859215793\n", + "\\item 2.23169414586367\n", + "\\item 3.07535275309013\n", + "\\item 1.880669559654\n", + "\\item 4.83342686063492\n", + "\\item 1.1515632138607\n", + "\\item 9.03331309979651\n", + "\\item 5.44924987047318\n", + "\\item 0.765191732737539\n", + "\\item 2.09233888655516\n", + "\\item 5.30492417146938\n", + "\\item 2.00967359882847\n", + "\\item 9.66210133884159\n", + "\\item 5.92493939261149\n", + "\\item 4.29730343661001\n", + "\\item 1.19789857525852\n", + "\\item 5.2104858465909\n", + "\\item 2.67646721162205\n", + "\\item 1.16539069890377\n", + "\\item 1.14145025072305\n", + "\\item 2.21307944881042\n", + "\\item 3.63045736494087\n", + "\\item 6.35752188978308\n", + "\\item 4.68818962736395\n", + "\\item 3.2655082708417\n", + "\\item 5.49420651901625\n", + "\\item 5.82370236255514\n", + "\\item 3.75888712152913\n", + "\\item 2.94357124447215\n", + "\\item 13.1719556423033\n", + "\\item 2.32175703189743\n", + "\\item 1.1542436600908\n", + "\\item 6.65834422301827\n", + "\\item 8.29227049688329\n", + "\\item 1.82522028428172\n", + "\\item 2.45180202069784\n", + "\\item 2.27774194268154\n", + "\\item 2.67994542634166\n", + "\\item 4.71303814879086\n", + "\\item 6.61696474699302\n", + "\\item 3.46498801425795\n", + "\\item 1.40927670232913\n", + "\\item 9.0458488429156\n", + "\\item 0.997448556050137\n", + "\\item 1.36920313658581\n", + "\\item 5.13410112124035\n", + "\\item 4.51842682737289\n", + "\\item 1.68467284196848\n", + "\\item 6.27233854486288\n", + "\\item 1.27974383585671\n", + "\\item 1.67164579181508\n", + "\\item 5.7821539401743\n", + "\\item 3.03538908127516\n", + "\\item 8.5564638316521\n", + "\\item 4.91845659849994\n", + "\\item 5.05163279798455\n", + "\\item 5.99120697797306\n", + "\\item 2.41057607320869\n", + "\\item 1.11933694414065\n", + "\\item 10.7115544310654\n", + "\\item 2.30085689600468\n", + "\\item 1.46205552151468\n", + "\\item 2.69136683405351\n", + "\\item 3.85912741102065\n", + "\\item 1.79301517014076\n", + "\\item 0.906464714140667\n", + "\\item 2.03475543135889\n", + "\\item 3.65278939364393\n", + "\\item 6.90457449898015\n", + "\\item 2.70337560269498\n", + "\\item 3.47589276518529\n", + "\\item 4.68343155431658\n", + "\\item 1.63015288487965\n", + "\\item 2.25194332668785\n", + "\\item 3.60485934091873\n", + "\\item 8.23149583837058\n", + "\\item 1.72000755070527\n", + "\\item 4.30186817746626\n", + "\\item 5.82888142712232\n", + "\\item 6.31594250309454\n", + "\\item 6.12143346664793\n", + "\\item 7.85654102380332\n", + "\\item 3.22155464407334\n", + "\\item 5.76868208548247\n", + "\\item 1.78995636093329\n", + "\\item 9.07728112116882\n", + "\\item 2.97801937028629\n", + "\\item 4.19478052788225\n", + "\\item 7.36397244310663\n", + "\\item 4.09430894695732\n", + "\\item 3.93182517093913\n", + "\\item 1.75968797062713\n", + "\\item 2.97310925387295\n", + "\\item 7.05751553110251\n", + "\\item 3.16899612667128\n", + "\\item 11.6804223681324\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 5.670075829503\n", + "\\item 2.83283471703334\n", + "\\item 3.82588668814459\n", + "\\item 6.23523176542675\n", + "\\item 3.01235119102503\n", + "\\item 2.71389611801841\n", + "\\item 5.63129159545639\n", + "\\item 1.01182792214386\n", + "\\item 6.94173275308403\n", + "\\item 4.09075296461105\n", + "\\item 6.63839351558063\n", + "\\item 3.38058971081809\n", + "\\item 1.99727104931546\n", + "\\item 3.48984745162379\n", + "\\item 7.37280523407323\n", + "\\item 5.12649379992312\n", + "\\item 3.71119631988965\n", + "\\item 5.20390263497382\n", + "\\item 8.60121873859322\n", + "\\item 6.69482887756547\n", + "\\item 9.46447231376544\n", + "\\item 8.35357329041376\n", + "\\item 3.71887476406735\n", + "\\item 1.56952322332059\n", + "\\item 6.88273043949243\n", + "\\item 2.15669210383131\n", + "\\item 5.87551763752135\n", + "\\item 7.9896769630435\n", + "\\item 6.02748967545312\n", + "\\item 6.35563705233973\n", + "\\item 5.27698441548652\n", + "\\item 5.96059506181358\n", + "\\item 7.44149564132842\n", + "\\item 5.1892765800384\n", + "\\item 3.24466289095584\n", + "\\item 6.10612187465166\n", + "\\item 7.56761908986098\n", + "\\item 3.27306792565792\n", + "\\item 2.80783505353938\n", + "\\item 5.65684651849157\n", + "\\item 8.09738862879716\n", + "\\item 5.05765408820903\n", + "\\item 1.62672159481843\n", + "\\item 7.46152404020844\n", + "\\item 5.66958599364473\n", + "\\item 3.3990108806991\n", + "\\item 7.48037915910639\n", + "\\item 5.24688054828804\n", + "\\item 6.72504739807929\n", + "\\item 4.80305321300062\n", + "\\item 7.69625330317964\n", + "\\item 4.77670989981543\n", + "\\item 7.73735074090447\n", + "\\item 5.97157219131794\n", + "\\item 1.93462246214665\n", + "\\item 5.23439783261478\n", + "\\item 5.58485885379372\n", + "\\item 4.90262863079431\n", + "\\item 4.87025429854079\n", + "\\item 3.26768497935155\n", + "\\item 7.26873503586546\n", + "\\item 4.27150814113172\n", + "\\item 1.46354481738974\n", + "\\item 6.55067210256707\n", + "\\item 3.97267941054074\n", + "\\item 5.80937112259241\n", + "\\item 3.04414824206453\n", + "\\item 4.34836493896151\n", + "\\item 8.68655291512986\n", + "\\item 6.29764464084891\n", + "\\item 5.70635143404327\n", + "\\item 6.70606030839251\n", + "\\item 4.07939493407309\n", + "\\item 6.92716938502681\n", + "\\item 2.09215425653543\n", + "\\item 2.58704383720953\n", + "\\item 2.94080016584036\n", + "\\item 7.07011240553269\n", + "\\item 4.09151231206495\n", + "\\item 1.12548559841066\n", + "\\item 8.99875321457797\n", + "\\item 1.8396817244748\n", + "\\item 7.26868915335913\n", + "\\item 2.82992570842068\n", + "\\item 3.95206059764446\n", + "\\item 2.78724491692186\n", + "\\item 6.50889405999012\n", + "\\item 7.11516285149955\n", + "\\item 6.52139883878136\n", + "\\item 1.55801932625221\n", + "\\item 8.92930975468278\n", + "\\item 4.97285322104651\n", + "\\item 2.06801251214091\n", + "\\item 2.20175048637788\n", + "\\item 3.19196942267952\n", + "\\item 3.38222798333761\n", + "\\item 1.80815815024639\n", + "\\item 5.20339153599447\n", + "\\item 4.288881102736\n", + "\\item 7.86174985876223\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 6.18627653471332\n", + "\\item 2.77471539222992\n", + "\\item 2.14216496818335\n", + "\\item 7.00219671767681\n", + "\\item 2.29164830154022\n", + "\\item 9.12119468815898\n", + "\\item 4.70761561401045\n", + "\\item 12.5585905498596\n", + "\\item 9.65447149638366\n", + "\\item 0.712849317455267\n", + "\\item 4.19778366066739\n", + "\\item 4.37435839493537\n", + "\\item 6.5471598692882\n", + "\\item 1.90680614837019\n", + "\\item 6.38622272735256\n", + "\\item 5.36843595006931\n", + "\\item 4.24961450823098\n", + "\\item 4.17208979494402\n", + "\\item 3.48101332685894\n", + "\\item 7.05336752750808\n", + "\\item 0.70610360141636\n", + "\\item 9.32893726818109\n", + "\\item 1.94129928417846\n", + "\\item 6.28392940825258\n", + "\\item 6.11816831060149\n", + "\\item 10.5165826124225\n", + "\\item 3.98272680149499\n", + "\\item 5.92295850020002\n", + "\\item 2.10342164702109\n", + "\\item 4.81056117042745\n", + "\\item 9.62590243029946\n", + "\\item 4.568529159479\n", + "\\item 6.50608001638333\n", + "\\item 3.6946094100094\n", + "\\item 2.726224971926\n", + "\\item 2.58404952039937\n", + "\\item 3.17223677699966\n", + "\\item 1.13999593671891\n", + "\\item 10.5271511686535\n", + "\\item 9.27722408169832\n", + "\\item 5.43569852280803\n", + "\\item 4.09551456155808\n", + "\\item 7.85253196019551\n", + "\\item 6.77649326054473\n", + "\\item 5.8516809822479\n", + "\\item 6.82792672199079\n", + "\\item 3.87829659689037\n", + "\\item 3.55130484722266\n", + "\\item 4.7662303280562\n", + "\\item 3.08034630550561\n", + "\\item 2.27818976604771\n", + "\\item 7.510031379032\n", + "\\item 2.55585383373654\n", + "\\item 7.58707044273439\n", + "\\item 4.38052554934271\n", + "\\item 2.26496412885705\n", + "\\item 9.83579747642296\n", + "\\item 5.50567440177683\n", + "\\item 10.1001515434019\n", + "\\item 4.97172557255876\n", + "\\item 8.09990961974799\n", + "\\item 8.4211537271002\n", + "\\item 4.35926454913143\n", + "\\item 4.79692724438948\n", + "\\item 3.69297041145452\n", + "\\item 6.65152816439299\n", + "\\item 1.80121777221514\n", + "\\item 5.75084062303555\n", + "\\item 2.21658951798263\n", + "\\item 4.90311796248456\n", + "\\item 2.75542716006706\n", + "\\item 3.09564236709618\n", + "\\item 1.54293592878823\n", + "\\item 3.10553617641933\n", + "\\item 3.11731279523384\n", + "\\item 6.12470154274617\n", + "\\item 7.87338079661152\n", + "\\item 6.06245915140254\n", + "\\item 7.27362750825651\n", + "\\item 3.99611922379248\n", + "\\item 3.67907878029633\n", + "\\item 1.3194437759369\n", + "\\item 3.92219620406811\n", + "\\item 5.31980714443375\n", + "\\item 7.90663604758134\n", + "\\item 0.813829458127272\n", + "\\item 12.2027853871328\n", + "\\item 3.91776458700796\n", + "\\item 7.42089222150479\n", + "\\item 8.99248181451689\n", + "\\item 2.85253197557479\n", + "\\item 3.44045502723745\n", + "\\item 4.61933724402521\n", + "\\item 6.85619190646366\n", + "\\item 6.84130266121063\n", + "\\item 5.34873113737856\n", + "\\item 9.15880948709559\n", + "\\item 3.80070602757025\n", + "\\item 5.55689306221145\n", + "\\item 4.70016652719083\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 6.85716118620035\n", + "\\item 4.33476289813562\n", + "\\item 2.9303469639493\n", + "\\item 8.61945629263965\n", + "\\item 10.0476322351689\n", + "\\item 4.04439836587967\n", + "\\item 3.62512279847521\n", + "\\item 2.89702107501205\n", + "\\item 2.05367433263217\n", + "\\item 6.09540077169141\n", + "\\item 5.62049577673601\n", + "\\item 4.13760183258035\n", + "\\item 6.61640455809315\n", + "\\item 4.44409439362647\n", + "\\item 3.63945196497895\n", + "\\item 6.00721474156934\n", + "\\item 11.8067711636676\n", + "\\item 4.18177057198594\n", + "\\item 10.6177899581346\n", + "\\item 5.91601347721845\n", + "\\item 5.02170242439829\n", + "\\item 10.6859700769639\n", + "\\item 5.03730889699306\n", + "\\item 7.73547871004061\n", + "\\item 5.51465204828269\n", + "\\item 3.12058930940183\n", + "\\item 3.53002004922824\n", + "\\item 4.66713339444773\n", + "\\item 4.99721172383089\n", + "\\item 4.94892570956926\n", + "\\item 4.3166266218247\n", + "\\item 6.89267758737395\n", + "\\item 7.98110919835892\n", + "\\item 9.98839289144062\n", + "\\item 1.99541930994549\n", + "\\item 6.62721697902442\n", + "\\item 6.38747386358384\n", + "\\item 7.58678964463432\n", + "\\item 6.39537749451094\n", + "\\item 4.87094265250655\n", + "\\item 5.43953347970377\n", + "\\item 3.54724297129401\n", + "\\item 9.13853518075824\n", + "\\item 3.12747635902366\n", + "\\item 2.98142937195445\n", + "\\item 5.46842789720699\n", + "\\item 5.017008596656\n", + "\\item 4.14134951702653\n", + "\\item 3.8953344089858\n", + "\\item 9.68874039459745\n", + "\\item 2.61005516311549\n", + "\\item 6.91688914494841\n", + "\\item 10.8066033788839\n", + "\\item 4.87489088539732\n", + "\\item 2.05765980340101\n", + "\\item 8.07213594822855\n", + "\\item 7.21866119067712\n", + "\\item 7.05529841336247\n", + "\\item 1.09732887077087\n", + "\\item 3.31868776023109\n", + "\\item 5.84640961749626\n", + "\\item 8.31283302611326\n", + "\\item 5.78971539289913\n", + "\\item 3.09134556806505\n", + "\\item 10.946563174554\n", + "\\item 7.13456701228822\n", + "\\item 2.46674751317885\n", + "\\item 5.98271130633222\n", + "\\item 8.62528217236452\n", + "\\item 8.30789220977079\n", + "\\item 8.05705705462762\n", + "\\item 9.49849402299909\n", + "\\item 8.42747520163923\n", + "\\item 6.57951152762481\n", + "\\item 3.97951030322432\n", + "\\item 7.081035513038\n", + "\\item 2.3158490989784\n", + "\\item 7.83998587357052\n", + "\\item 8.0321516518357\n", + "\\item 10.5406097478097\n", + "\\item 9.01208149535999\n", + "\\item 7.07624761638091\n", + "\\item 8.41746133863034\n", + "\\item 7.96519853475624\n", + "\\item 4.40659101932747\n", + "\\item 7.52415286050132\n", + "\\item 1.97340375678779\n", + "\\item 9.32020560225049\n", + "\\item 7.58013825526648\n", + "\\item 3.13932256081148\n", + "\\item 3.47353780874563\n", + "\\item 2.9148297353887\n", + "\\item 1.95085856721905\n", + "\\item 3.28985564109393\n", + "\\item 6.50477383699518\n", + "\\item 8.34785634987892\n", + "\\item 8.905538742373\n", + "\\item 6.62221303107569\n", + "\\item 7.26705310523371\n", + "\\item 7.38098219715234\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 1.18816405073583\n", + "\\item 6.92891354030185\n", + "\\item 4.38935607652714\n", + "\\item 2.74059682984592\n", + "\\item 1.73367511591659\n", + "\\item 0.977140057378457\n", + "\\item 3.68945144416129\n", + "\\item 2.52529174894614\n", + "\\item 1.95660844171479\n", + "\\item 4.04208646902749\n", + "\\item 2.22592142470155\n", + "\\item 4.30930327142857\n", + "\\item 0.838423901084188\n", + "\\item 3.7896080072411\n", + "\\item 4.51350307678131\n", + "\\item 4.52592321234736\n", + "\\item 3.11986130054381\n", + "\\item 1.39523870746235\n", + "\\item 4.56171807121538\n", + "\\item 4.77844943416912\n", + "\\item 0.752537284905952\n", + "\\item 4.84856143273487\n", + "\\item 5.05737787779541\n", + "\\item 2.18014774005647\n", + "\\item 4.11958900102516\n", + "\\item 1.3863709568789\n", + "\\item 4.99542007353712\n", + "\\item 3.32970705939544\n", + "\\item 5.29808775469883\n", + "\\item 4.43867876820384\n", + "\\item 2.05249975202156\n", + "\\item 1.0879289739601\n", + "\\item 1.67377887590391\n", + "\\item 1.94579483698077\n", + "\\item 3.12798476741516\n", + "\\item 0.858114557402738\n", + "\\item 5.03311258448137\n", + "\\item 1.4968381558205\n", + "\\item 3.33306294438725\n", + "\\item 4.42221643807297\n", + "\\item 6.00003306641017\n", + "\\item 5.74513690154821\n", + "\\item 6.94433212794066\n", + "\\item 1.87186246028887\n", + "\\item 4.96606831256485\n", + "\\item 4.41181198144329\n", + "\\item 5.66937283216321\n", + "\\item 0.628790915024789\n", + "\\item 4.84585739676372\n", + "\\item 7.51715681056691\n", + "\\item 4.26920335348234\n", + "\\item 4.19795033877328\n", + "\\item 2.23488766538808\n", + "\\item 3.91171858585572\n", + "\\item 3.54001493099913\n", + "\\item 5.23663355168341\n", + "\\item 2.18423786253564\n", + "\\item 2.40882720869886\n", + "\\item 3.83024749745889\n", + "\\item 2.64845655715672\n", + "\\item 4.85669348678192\n", + "\\item 4.63631665438222\n", + "\\item 3.24380445355335\n", + "\\item 2.22158920897404\n", + "\\item 1.37310262979855\n", + "\\item 6.85202028199266\n", + "\\item 4.67399238603492\n", + "\\item 6.68099345825001\n", + "\\item 1.10773777233267\n", + "\\item 3.2977728427085\n", + "\\item 1.79120187764785\n", + "\\item 7.8219193992541\n", + "\\item 3.86792341286279\n", + "\\item 1.34938653119199\n", + "\\item 3.88780930375053\n", + "\\item 5.21928537495982\n", + "\\item 4.2514348343573\n", + "\\item 4.71788864646932\n", + "\\item 3.33497063257503\n", + "\\item 4.18237746235639\n", + "\\item 2.99842512292604\n", + "\\item 5.67786268906119\n", + "\\item 5.96161283762164\n", + "\\item 2.27917096947868\n", + "\\item 3.74691489969847\n", + "\\item 1.17755881702714\n", + "\\item 6.18697048998963\n", + "\\item 1.37918621602028\n", + "\\item 6.60469874550244\n", + "\\item 4.38560650243954\n", + "\\item 4.60821387089197\n", + "\\item 1.9432463739057\n", + "\\item 2.67742889743052\n", + "\\item 1.32456969146525\n", + "\\item 2.06602027606583\n", + "\\item 1.97584421897862\n", + "\\item 4.09495341759319\n", + "\\item 4.51355491944123\n", + "\\item 4.36981668541618\n", + "\\item 1.59275795856999\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 3.56352049371654\n", + "\\item 5.01420852814152\n", + "\\item 6.15356118706757\n", + "\\item 5.91642566647699\n", + "\\item 3.56259208144074\n", + "\\item 7.00058292249713\n", + "\\item 4.78424227094719\n", + "\\item 6.54343198102273\n", + "\\item 4.37404776698694\n", + "\\item 6.31292089839487\n", + "\\item 7.75561083849299\n", + "\\item 4.25584371668022\n", + "\\item 5.30278506224053\n", + "\\item 4.86375901842743\n", + "\\item 3.21934973909078\n", + "\\item 4.64460372891989\n", + "\\item 4.04657379906941\n", + "\\item 3.56109637987961\n", + "\\item 4.07209895143089\n", + "\\item 5.23293740316628\n", + "\\item 6.28955965069229\n", + "\\item 5.05738301420736\n", + "\\item 4.34663744558851\n", + "\\item 2.27084364206978\n", + "\\item 6.84678732434245\n", + "\\item 8.4434361317011\n", + "\\item 8.52239129089281\n", + "\\item 4.11248860926177\n", + "\\item 4.24553499942967\n", + "\\item 5.36421108845819\n", + "\\item 4.94113082645165\n", + "\\item 4.70890166663261\n", + "\\item 4.40710048481999\n", + "\\item 1.38886774114718\n", + "\\item 5.51246548494113\n", + "\\item 9.74372775163978\n", + "\\item 4.85717508670607\n", + "\\item 6.40946717592346\n", + "\\item 5.19033688228927\n", + "\\item 3.73120073144803\n", + "\\item 3.15847410168071\n", + "\\item 4.74176550536695\n", + "\\item 6.66341865276484\n", + "\\item 4.17517650934842\n", + "\\item 3.7128003542666\n", + "\\item 7.76258405066391\n", + "\\item 4.44600197777037\n", + "\\item 5.54368936441174\n", + "\\item 3.65183804873648\n", + "\\item 4.93901276802119\n", + "\\item 3.71410106361177\n", + "\\item 4.13157239662119\n", + "\\item 6.21576613509048\n", + "\\item 5.7500809170628\n", + "\\item 3.16496791177227\n", + "\\item 6.90062771448655\n", + "\\item 1.34792554730875\n", + "\\item 7.89145520122477\n", + "\\item 5.17661893370436\n", + "\\item 3.4667137590063\n", + "\\item 3.55155189390624\n", + "\\item 6.73131856234278\n", + "\\item 2.88132313524076\n", + "\\item 4.69307794267927\n", + "\\item 6.84310252654292\n", + "\\item 1.68357194819021\n", + "\\item 2.95138593874435\n", + "\\item 5.59400719549832\n", + "\\item 5.40020945605516\n", + "\\item 3.56038522535857\n", + "\\item 7.31959670567587\n", + "\\item 3.80084749183552\n", + "\\item 6.87652490354742\n", + "\\item 1.48735382232052\n", + "\\item 3.44139838200508\n", + "\\item 4.78357496477307\n", + "\\item 5.26064624008246\n", + "\\item 8.11996091199334\n", + "\\item 1.38240862460709\n", + "\\item 5.05145077208697\n", + "\\item 2.81321561070903\n", + "\\item 6.17530769694886\n", + "\\item 7.59728939292948\n", + "\\item 6.89173233910328\n", + "\\item 3.34173857254705\n", + "\\item 5.87229149987556\n", + "\\item 2.11626565743284\n", + "\\item 2.3528028160633\n", + "\\item 8.13060309672805\n", + "\\item 3.34551355816918\n", + "\\item 3.17840096486838\n", + "\\item 4.3763014561993\n", + "\\item 6.81466561855657\n", + "\\item 4.89068733773789\n", + "\\item 2.58216727067338\n", + "\\item 6.33006849722493\n", + "\\item 3.44660447934736\n", + "\\item 3.44467444629869\n", + "\\item 4.83287681526553\n", + "\\item 3.76825633038138\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 3.82077988794869\n", + "\\item 3.79717603514834\n", + "\\item 2.36379872965992\n", + "\\item 3.72250469486413\n", + "\\item 5.26498680945272\n", + "\\item 2.17028397624122\n", + "\\item 4.98082420279941\n", + "\\item 7.55083109404196\n", + "\\item 2.85672889029048\n", + "\\item 3.3642223584306\n", + "\\item 2.52038125665279\n", + "\\item 1.36387236044727\n", + "\\item 1.83849206561166\n", + "\\item 4.58483593729436\n", + "\\item 4.07030506103994\n", + "\\item 5.11708539165446\n", + "\\item 7.77036090768373\n", + "\\item 5.89010521991195\n", + "\\item 1.38571792855122\n", + "\\item 4.56357652235887\n", + "\\item 5.64875286451729\n", + "\\item 4.29020209311374\n", + "\\item 6.40230199248208\n", + "\\item 2.25738631040405\n", + "\\item 2.56099333970489\n", + "\\item 4.73859756836147\n", + "\\item 2.03001352699074\n", + "\\item 3.03455435021104\n", + "\\item 7.80474668142219\n", + "\\item 2.21029248183318\n", + "\\item 6.07038410691742\n", + "\\item 3.26618314077925\n", + "\\item 2.41043724487386\n", + "\\item 3.92931313451211\n", + "\\item 2.40650145280737\n", + "\\item 4.56343768142923\n", + "\\item 6.74389734732154\n", + "\\item 4.46206177821634\n", + "\\item 5.29258029524396\n", + "\\item 4.75724852248881\n", + "\\item 2.27232587866276\n", + "\\item 4.45863813288013\n", + "\\item 6.63854202981377\n", + "\\item 2.74292353705951\n", + "\\item 7.0465815159375\n", + "\\item 4.80617610250237\n", + "\\item 2.75073466736724\n", + "\\item 2.6408338766994\n", + "\\item 3.72558242884454\n", + "\\item 1.39936761039392\n", + "\\item 6.44831728027026\n", + "\\item 7.24870498515472\n", + "\\item 6.78038023905845\n", + "\\item 2.71256013807511\n", + "\\item 1.91062924427614\n", + "\\item 1.55896753859005\n", + "\\item 5.8146216527219\n", + "\\item 10.2516882496358\n", + "\\item 1.56108350000517\n", + "\\item 2.30684963902346\n", + "\\item 4.23520300711468\n", + "\\item 1.80157887079116\n", + "\\item 7.56565366656915\n", + "\\item 4.83234533459104\n", + "\\item 1.71839413744557\n", + "\\item 6.04163507852297\n", + "\\item 3.36637864490413\n", + "\\item 2.20787112061464\n", + "\\item 4.22043234315608\n", + "\\item 6.55047059210101\n", + "\\item 2.08734517876342\n", + "\\item 4.24384753891024\n", + "\\item 6.3510293686212\n", + "\\item 5.14169605818021\n", + "\\item 3.43717003714196\n", + "\\item 2.33602851597797\n", + "\\item 6.795360104417\n", + "\\item 5.72501101020582\n", + "\\item 7.88742076059168\n", + "\\item 6.51531680388157\n", + "\\item 2.35518765014476\n", + "\\item 4.82694502146953\n", + "\\item 5.04608032566442\n", + "\\item 2.95599385692209\n", + "\\item 2.72619897215525\n", + "\\item 4.77678639595414\n", + "\\item 4.05619957503114\n", + "\\item 4.98221471523755\n", + "\\item 4.63190459066223\n", + "\\item 4.44748930043039\n", + "\\item 2.81585635704757\n", + "\\item 3.16180523853774\n", + "\\item 2.35571608236655\n", + "\\item 4.48770889026159\n", + "\\item 5.90114300312406\n", + "\\item 3.43004431950669\n", + "\\item 2.29492659047976\n", + "\\item 3.73693272847268\n", + "\\item 3.4888779059975\n", + "\\item 7.47765629682861\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 5.74399486468361\n", + "\\item 2.4214744553864\n", + "\\item 2.44387918327587\n", + "\\item 5.30023784935021\n", + "\\item 3.15222409693343\n", + "\\item 7.00590908183738\n", + "\\item 4.66968533267899\n", + "\\item 1.14115321979428\n", + "\\item 2.30117086777648\n", + "\\item 5.52068220944337\n", + "\\item 8.6921016828129\n", + "\\item 3.84900062434268\n", + "\\item 4.50612577176803\n", + "\\item 4.60541720825119\n", + "\\item 10.5967693150509\n", + "\\item 3.17844457151091\n", + "\\item 3.62303554669987\n", + "\\item 2.7477111346728\n", + "\\item 4.24511423917796\n", + "\\item 2.72121517742951\n", + "\\item 7.90950520549836\n", + "\\item 9.81154713033814\n", + "\\item 6.52280192071408\n", + "\\item 3.56887625640085\n", + "\\item 5.923355234277\n", + "\\item 4.15111293923028\n", + "\\item 4.333127095953\n", + "\\item 6.52694381328818\n", + "\\item 8.16575627447289\n", + "\\item 7.65116506101816\n", + "\\item 5.51574101046629\n", + "\\item 8.24532838698741\n", + "\\item 4.29068013443117\n", + "\\item 6.20922907476563\n", + "\\item 3.77557373025822\n", + "\\item 3.14083432792649\n", + "\\item 7.13237902581833\n", + "\\item 3.42978243790909\n", + "\\item 2.49837010877644\n", + "\\item 4.85291602856518\n", + "\\item 3.18914311274878\n", + "\\item 3.49597987128894\n", + "\\item 6.59909598197426\n", + "\\item 6.29579693187948\n", + "\\item 7.32851334590674\n", + "\\item 10.9847000510365\n", + "\\item 5.43700057248395\n", + "\\item 3.54188235045546\n", + "\\item 5.93094527548738\n", + "\\item 5.31827258903708\n", + "\\item 2.26458616220341\n", + "\\item 8.48243033658998\n", + "\\item 4.49637122504657\n", + "\\item 6.59030287656024\n", + "\\item 3.91261589454751\n", + "\\item 7.40950187525005\n", + "\\item 5.13691637650994\n", + "\\item 6.06257659553891\n", + "\\item 4.90737779346671\n", + "\\item 4.65379146567176\n", + "\\item 3.49830307089377\n", + "\\item 4.7903334849402\n", + "\\item 7.01645824647748\n", + "\\item 6.3457790136263\n", + "\\item 4.28109855730326\n", + "\\item 4.69088307911567\n", + "\\item 5.44877100263324\n", + "\\item 10.1989802357516\n", + "\\item 4.57385499454177\n", + "\\item 4.08732880316257\n", + "\\item 3.74122895465342\n", + "\\item 3.96236673766559\n", + "\\item 5.38804372708111\n", + "\\item 5.49214441920646\n", + "\\item 4.76219722688223\n", + "\\item 3.85544597887416\n", + "\\item 4.96662522871409\n", + "\\item 5.57765807953262\n", + "\\item 4.70216187343427\n", + "\\item 4.3988022249816\n", + "\\item 3.96084454996634\n", + "\\item 3.48228440947197\n", + "\\item 5.99938890979105\n", + "\\item 6.65572285190857\n", + "\\item 1.74645968743681\n", + "\\item 3.65183395295811\n", + "\\item 7.72272429892429\n", + "\\item 4.87768875582614\n", + "\\item 5.61875702143299\n", + "\\item 5.47004865279596\n", + "\\item 2.88591140322229\n", + "\\item 2.97323320719348\n", + "\\item 3.53582392847235\n", + "\\item 5.06097294688846\n", + "\\item 7.00650841653761\n", + "\\item 2.78901482077921\n", + "\\item 5.31538277815083\n", + "\\item 4.97693392274303\n", + "\\item 9.2572395799612\n", + "\\item 3.5926893293938\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 1.26921905012953\n", + "\\item 6.35498818077064\n", + "\\item 2.41875214350978\n", + "\\item 2.8902361439081\n", + "\\item 5.7116361071244\n", + "\\item 4.20846175430532\n", + "\\item 4.80082350345676\n", + "\\item 5.74958967197802\n", + "\\item 1.40476911422129\n", + "\\item 3.9428041772601\n", + "\\item 4.43795723906576\n", + "\\item 2.69219700151025\n", + "\\item 1.98863226037731\n", + "\\item 1.02251510989239\n", + "\\item 7.17522738319963\n", + "\\item 2.95760656920788\n", + "\\item 3.06432128435309\n", + "\\item 5.17052935218951\n", + "\\item 0.968974916750111\n", + "\\item 3.80760809655777\n", + "\\item 3.5286720858682\n", + "\\item 2.11050572963175\n", + "\\item 2.56761217557984\n", + "\\item 5.46597149910132\n", + "\\item 4.23892543591007\n", + "\\item 6.27582447689931\n", + "\\item 3.12344913133912\n", + "\\item 3.90748536333592\n", + "\\item 1.09571730901654\n", + "\\item 4.20384865461738\n", + "\\item 3.25982903988473\n", + "\\item 3.54467215906282\n", + "\\item 3.57974331352487\n", + "\\item 1.4025559647054\n", + "\\item 3.69065266687307\n", + "\\item 3.23985221253712\n", + "\\item 1.79751185725301\n", + "\\item 3.95064002803996\n", + "\\item 2.98200243059847\n", + "\\item 3.53735297936015\n", + "\\item 5.49256255078585\n", + "\\item 3.74403414239268\n", + "\\item 5.27674869900327\n", + "\\item 4.38696420689303\n", + "\\item 3.48657279659652\n", + "\\item 4.46244348824125\n", + "\\item 1.70425625005361\n", + "\\item 3.69010755015279\n", + "\\item 5.50713494592016\n", + "\\item 1.21241813437216\n", + "\\item 4.65701872860096\n", + "\\item 5.97233087121596\n", + "\\item 3.47516426311332\n", + "\\item 6.3336060371004\n", + "\\item 3.54643817065444\n", + "\\item 4.45573144386964\n", + "\\item 3.12142952788235\n", + "\\item 4.83824635730097\n", + "\\item 0.520673163565227\n", + "\\item 1.41428226250304\n", + "\\item 2.55958021918919\n", + "\\item 0.8247964979429\n", + "\\item 3.72509671727256\n", + "\\item 4.16435778778602\n", + "\\item 2.68871874861388\n", + "\\item 3.94682082795276\n", + "\\item 3.24573958117632\n", + "\\item 1.79335156861505\n", + "\\item 5.13685693803946\n", + "\\item 1.70079957894107\n", + "\\item 3.82666332085329\n", + "\\item 3.16223649788185\n", + "\\item 3.20111997613732\n", + "\\item 2.54788495720292\n", + "\\item 2.54516788630061\n", + "\\item 3.03533906867591\n", + "\\item 3.35608826357903\n", + "\\item 2.54931151239398\n", + "\\item 4.32036861637035\n", + "\\item 4.01783808487999\n", + "\\item 1.84815664355362\n", + "\\item 1.66704127973616\n", + "\\item 4.63902083696723\n", + "\\item 6.02764083790021\n", + "\\item 2.84269860867037\n", + "\\item 1.51954098289614\n", + "\\item 2.3439144266112\n", + "\\item 1.18804451253275\n", + "\\item 3.46004050207003\n", + "\\item 3.68515541316523\n", + "\\item 3.82482898274839\n", + "\\item 4.76308032120612\n", + "\\item 5.16916880325356\n", + "\\item 2.51814147705156\n", + "\\item 4.42760900997152\n", + "\\item 1.94660954636153\n", + "\\item 1.36769713172428\n", + "\\item 3.03061924419229\n", + "\\item 2.73989946580478\n", + "\\item 1.47543418169146\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 5.04421997921599\n", + "\\item 5.29189458085584\n", + "\\item 2.93288836488653\n", + "\\item 6.76466284722236\n", + "\\item 9.81808515732301\n", + "\\item 8.56050604364312\n", + "\\item 2.92472043723742\n", + "\\item 8.35760660264766\n", + "\\item 7.24059604782714\n", + "\\item 3.98784077766828\n", + "\\item 1.84659922190417\n", + "\\item 2.43915366120621\n", + "\\item 1.52950032338624\n", + "\\item 2.15164183771711\n", + "\\item 3.67216082471018\n", + "\\item 3.48910396026375\n", + "\\item 1.5230799096537\n", + "\\item 1.10788553142396\n", + "\\item 5.90873539299844\n", + "\\item 4.15893467365233\n", + "\\item 6.30876538069827\n", + "\\item 3.03860476026583\n", + "\\item 1.24182207862302\n", + "\\item 1.43662867633525\n", + "\\item 6.16176312205512\n", + "\\item 7.90576016389025\n", + "\\item 3.29868421681654\n", + "\\item 0.875827066431838\n", + "\\item 2.63387477856328\n", + "\\item 5.81656980213865\n", + "\\item 7.75960704578503\n", + "\\item 2.32371093121562\n", + "\\item 1.57901045382003\n", + "\\item 3.8215890405487\n", + "\\item 1.35978416651135\n", + "\\item 2.92409949432087\n", + "\\item 2.74345330728981\n", + "\\item 3.30804938709265\n", + "\\item 9.27356045683188\n", + "\\item 3.11269778551817\n", + "\\item 3.68813935994577\n", + "\\item 4.60658049378969\n", + "\\item 0.504539769791595\n", + "\\item 3.87299090469369\n", + "\\item 2.30274423579591\n", + "\\item 6.52511280374938\n", + "\\item 3.82490276658621\n", + "\\item 1.91523007952978\n", + "\\item 7.69601583770952\n", + "\\item 1.96138082764489\n", + "\\item 4.61870048669441\n", + "\\item 2.8043984607883\n", + "\\item 4.0774464459687\n", + "\\item 2.25363405387781\n", + "\\item 1.6207893342913\n", + "\\item 1.62176973603205\n", + "\\item 3.58849460715901\n", + "\\item 5.64915020506704\n", + "\\item 2.01730477389497\n", + "\\item 1.17491735220535\n", + "\\item 1.73676995026747\n", + "\\item 3.6913690664399\n", + "\\item 3.75291009187143\n", + "\\item 5.64722469462501\n", + "\\item 5.92194953126746\n", + "\\item 2.15180639921969\n", + "\\item 5.48525731492007\n", + "\\item 4.36486286223048\n", + "\\item 1.79132258909783\n", + "\\item 4.85409973027706\n", + "\\item 0.824764765673787\n", + "\\item 5.95402437663399\n", + "\\item 4.17564716010448\n", + "\\item 4.40238049775801\n", + "\\item 4.23740470604864\n", + "\\item 4.69027013640305\n", + "\\item 2.72046083664982\n", + "\\item 4.1235423234443\n", + "\\item 1.82690993641274\n", + "\\item 2.05368325552266\n", + "\\item 8.01538500527673\n", + "\\item 5.44575062405271\n", + "\\item 6.38895404804212\n", + "\\item 3.94361236026706\n", + "\\item 1.68277108126302\n", + "\\item 4.88388581977313\n", + "\\item 3.04299445224585\n", + "\\item 2.73806902550388\n", + "\\item 2.1088209098901\n", + "\\item 3.72933070534084\n", + "\\item 3.61342758878474\n", + "\\item 6.29124524920204\n", + "\\item 2.19753141188115\n", + "\\item 4.8582762974648\n", + "\\item 4.57038832591837\n", + "\\item 3.23213707147939\n", + "\\item 3.65576919794591\n", + "\\item 1.40493115149717\n", + "\\item 1.94980619409731\n", + "\\item 2.61034003734057\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 6.63230984748897\n", + "\\item 5.26072217554651\n", + "\\item 4.810518429468\n", + "\\item 7.23544019298844\n", + "\\item 4.96839406602467\n", + "\\item 5.29893623201841\n", + "\\item 2.00997464002221\n", + "\\item 2.71012498865374\n", + "\\item 8.69996300593477\n", + "\\item 9.83783045844772\n", + "\\item 1.97606872055358\n", + "\\item 9.32196057080721\n", + "\\item 6.3265968586948\n", + "\\item 1.98683974612207\n", + "\\item 3.32578404145917\n", + "\\item 3.41995388322591\n", + "\\item 5.93313698374783\n", + "\\item 5.70649847221157\n", + "\\item 7.67806560605734\n", + "\\item 7.21110933079406\n", + "\\item 4.39491075573862\n", + "\\item 6.8342632946911\n", + "\\item 1.84009215230047\n", + "\\item 5.35996105027438\n", + "\\item 2.99036976410872\n", + "\\item 2.4586993370415\n", + "\\item 5.10347898869832\n", + "\\item 4.11865572358619\n", + "\\item 2.68993330879005\n", + "\\item 7.20660200713846\n", + "\\item 4.34536399468592\n", + "\\item 1.93642786550879\n", + "\\item 2.59010740167868\n", + "\\item 8.26426239289166\n", + "\\item 0.570349857185048\n", + "\\item 5.91125521665609\n", + "\\item 3.74995238067249\n", + "\\item 3.38425594850275\n", + "\\item 2.62859356777476\n", + "\\item 2.85125256598398\n", + "\\item 2.57913609365731\n", + "\\item 3.65572239969353\n", + "\\item 2.27338554459469\n", + "\\item 1.72952943621431\n", + "\\item 4.36508173342994\n", + "\\item 8.37020987404674\n", + "\\item 6.39400479281854\n", + "\\item 6.41640950161296\n", + "\\item 1.87253412682987\n", + "\\item 2.66054740334426\n", + "\\item 7.19026782837117\n", + "\\item 1.59153089923097\n", + "\\item 7.97408732878405\n", + "\\item 7.83563731621162\n", + "\\item 8.28330049045749\n", + "\\item 5.81425758634839\n", + "\\item 7.62701206808644\n", + "\\item 3.90861820844716\n", + "\\item 5.14876339890699\n", + "\\item 4.76378689539875\n", + "\\item 1.07025184950465\n", + "\\item 1.74677338585331\n", + "\\item 4.64192343421141\n", + "\\item 7.61138554857042\n", + "\\item 3.67599820512317\n", + "\\item 4.71101701521411\n", + "\\item 6.41642814168379\n", + "\\item 5.23596805189337\n", + "\\item 7.94815440456093\n", + "\\item 7.1885624869361\n", + "\\item 8.56010370765713\n", + "\\item 3.56658869683881\n", + "\\item 2.64013690240947\n", + "\\item 7.07180060314973\n", + "\\item 1.77204514699949\n", + "\\item 3.29069346479847\n", + "\\item 4.91243220995042\n", + "\\item 7.76796428705342\n", + "\\item 4.81576411664785\n", + "\\item 2.90749735425997\n", + "\\item 5.17258906323655\n", + "\\item 4.26512811457534\n", + "\\item 1.1846071509824\n", + "\\item 2.79829108734577\n", + "\\item 10.02599502339\n", + "\\item 5.20465359206108\n", + "\\item 7.34033162909432\n", + "\\item 1.95251778163086\n", + "\\item 2.76671360355148\n", + "\\item 2.03694804684659\n", + "\\item 4.27031610601287\n", + "\\item 5.5822746528654\n", + "\\item 4.88550580170726\n", + "\\item 9.2319258794254\n", + "\\item 7.15347523955586\n", + "\\item 4.7744213431734\n", + "\\item 1.8620731558444\n", + "\\item 3.73576886452007\n", + "\\item 2.76365102811183\n", + "\\item 6.33180325233912\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 1.92371925547467\n", + "\\item 5.73693793679294\n", + "\\item 0.881365867415753\n", + "\\item 2.02137224625992\n", + "\\item 2.35410429908435\n", + "\\item 1.60725248995433\n", + "\\item 2.44735906504623\n", + "\\item 1.34321906631109\n", + "\\item 1.17527889374302\n", + "\\item 4.14148334195412\n", + "\\item 3.1341350545329\n", + "\\item 1.08028882736801\n", + "\\item 1.08988384241811\n", + "\\item 0.808185290536935\n", + "\\item 1.07106088098244\n", + "\\item 1.51745790020405\n", + "\\item 1.58259069602161\n", + "\\item 7.28125182100751\n", + "\\item 1.44184576226286\n", + "\\item 2.15994777824661\n", + "\\item 1.66339921676124\n", + "\\item 0.736308725304815\n", + "\\item 5.55359180459404\n", + "\\item 2.46763517801706\n", + "\\item 7.77936632660003\n", + "\\item 3.8574837487039\n", + "\\item 8.82042252813617\n", + "\\item 1.38609259854024\n", + "\\item 1.47815318966766\n", + "\\item 5.08255270922328\n", + "\\item 1.79364889178681\n", + "\\item 1.93259449030803\n", + "\\item 1.89966000330877\n", + "\\item 0.921249881272305\n", + "\\item 1.37530282719168\n", + "\\item 6.06924104766458\n", + "\\item 1.7274981754721\n", + "\\item 1.73514821197172\n", + "\\item 1.71772730149797\n", + "\\item 1.61413880550813\n", + "\\item 0.488001266338043\n", + "\\item 2.18860363483049\n", + "\\item 1.59080045735612\n", + "\\item 0.787001586233752\n", + "\\item 4.10850326773204\n", + "\\item 0.987478423721698\n", + "\\item 1.31019187120871\n", + "\\item 1.68322412887806\n", + "\\item 5.42582858550332\n", + "\\item 5.00299825974442\n", + "\\item 0.896535533148403\n", + "\\item 0.993410168469013\n", + "\\item 1.20043306238323\n", + "\\item 5.48371460574522\n", + "\\item 2.86818475357399\n", + "\\item 2.01638631647673\n", + "\\item 3.86068482350933\n", + "\\item 5.53878031598682\n", + "\\item 0.649540906647096\n", + "\\item 3.29928483041944\n", + "\\item 5.18509224336502\n", + "\\item 1.5942503505619\n", + "\\item 4.75578976281941\n", + "\\item 2.44523080321154\n", + "\\item 1.31288585026207\n", + "\\item 2.48380737228824\n", + "\\item 1.34432338913489\n", + "\\item 2.18864762809884\n", + "\\item 8.74883552360359\n", + "\\item 3.23641583703689\n", + "\\item 1.16848301330342\n", + "\\item 1.35539992280354\n", + "\\item 2.15770361425392\n", + "\\item 5.74676092708988\n", + "\\item 2.40106744606519\n", + "\\item 3.30259461100428\n", + "\\item 2.58286099022324\n", + "\\item 3.52954657852844\n", + "\\item 2.06039983849139\n", + "\\item 3.0613576204891\n", + "\\item 5.96075933039129\n", + "\\item 0.668840964892177\n", + "\\item 2.52771185512237\n", + "\\item 2.24331011054225\n", + "\\item 1.47837223765759\n", + "\\item 1.85382607025399\n", + "\\item 2.68279021326565\n", + "\\item 1.35565260891461\n", + "\\item 2.09039811433579\n", + "\\item 0.74389902493042\n", + "\\item 1.10275629960356\n", + "\\item 1.70845364966051\n", + "\\item 0.723403434784564\n", + "\\item 0.80678041660758\n", + "\\item 1.20746414273029\n", + "\\item 1.04366573158091\n", + "\\item 1.20109300599859\n", + "\\item 2.51452312260285\n", + "\\item 2.22409742189198\n", + "\\item 3.04568451078947\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 4.89665758548685\n", + "\\item 5.31053833228538\n", + "\\item 6.6798670783507\n", + "\\item 7.25937455287055\n", + "\\item 4.93961704089324\n", + "\\item 10.0132735140848\n", + "\\item 2.44713393628319\n", + "\\item 9.04913064517371\n", + "\\item 2.89778086843908\n", + "\\item 5.89349746279059\n", + "\\item 3.73840259430589\n", + "\\item 4.29942118236368\n", + "\\item 3.31448421088787\n", + "\\item 2.90739264463718\n", + "\\item 1.78286883698462\n", + "\\item 9.04935824293585\n", + "\\item 8.61198052211944\n", + "\\item 4.3650023723189\n", + "\\item 9.41608964168772\n", + "\\item 6.02020278341968\n", + "\\item 2.22467745776181\n", + "\\item 5.44742004689486\n", + "\\item 6.27818831421336\n", + "\\item 3.17490197599074\n", + "\\item 2.4157784036191\n", + "\\item 4.21182777075305\n", + "\\item 4.6750649208962\n", + "\\item 0.681078908290355\n", + "\\item 1.54163612100311\n", + "\\item 2.95899190174604\n", + "\\item 4.1034296845137\n", + "\\item 5.44936295476244\n", + "\\item 9.09791026806257\n", + "\\item 2.5048980112154\n", + "\\item 3.68089759070943\n", + "\\item 11.7446772345097\n", + "\\item 2.29594206614887\n", + "\\item 0.910435169499309\n", + "\\item 8.25492001271353\n", + "\\item 5.8145235654803\n", + "\\item 4.0986175547654\n", + "\\item 5.07244846427559\n", + "\\item 2.37098954595067\n", + "\\item 7.18913479882271\n", + "\\item 6.17405957431189\n", + "\\item 1.2322279053243\n", + "\\item 2.49345004305844\n", + "\\item 3.96729954590647\n", + "\\item 4.51085318674175\n", + "\\item 2.73828057986955\n", + "\\item 9.29801348414769\n", + "\\item 7.85379502546332\n", + "\\item 4.17908460352599\n", + "\\item 5.42671392682835\n", + "\\item 6.63627112349276\n", + "\\item 1.83301873205413\n", + "\\item 9.31772133820201\n", + "\\item 3.17372802517761\n", + "\\item 3.3370231687265\n", + "\\item 4.67864557321758\n", + "\\item 7.1476473582793\n", + "\\item 5.60674491689627\n", + "\\item 1.35109873813462\n", + "\\item 1.4876920937011\n", + "\\item 7.31966389844264\n", + "\\item 3.99337856425615\n", + "\\item 5.70715709655126\n", + "\\item 4.90883468335859\n", + "\\item 2.06065639551406\n", + "\\item 2.48660978694962\n", + "\\item 7.440061542125\n", + "\\item 7.95377437036206\n", + "\\item 2.01707476049492\n", + "\\item 9.25948215691271\n", + "\\item 6.44048742757363\n", + "\\item 9.00267428112988\n", + "\\item 4.46582259848971\n", + "\\item 8.96571134677075\n", + "\\item 6.49361426669024\n", + "\\item 3.04383248198259\n", + "\\item 10.4268105831492\n", + "\\item 4.47756627494752\n", + "\\item 8.83698439214872\n", + "\\item 9.89922766963482\n", + "\\item 2.28508671194319\n", + "\\item 3.4200364173455\n", + "\\item 8.18661265083197\n", + "\\item 3.12885633535545\n", + "\\item 1.23993210522065\n", + "\\item 4.47671272584358\n", + "\\item 3.35639987063244\n", + "\\item 4.82027698167488\n", + "\\item 8.41528825552047\n", + "\\item 2.0396652037467\n", + "\\item 4.22930456596531\n", + "\\item 9.13949660253398\n", + "\\item 4.87636696147796\n", + "\\item 3.83835134067949\n", + "\\item 5.36005647307143\n", + "\\item 1.5060898687528\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 5.85677702823855\n", + "\\item 4.12882988277937\n", + "\\item 3.24045465886173\n", + "\\item 5.26277719860978\n", + "\\item 6.76436094740645\n", + "\\item 5.61274485232009\n", + "\\item 1.75386743812668\n", + "\\item 5.22701219334682\n", + "\\item 4.80328958391888\n", + "\\item 2.80188464182711\n", + "\\item 5.98398022400623\n", + "\\item 4.4629885628276\n", + "\\item 5.71171447595764\n", + "\\item 4.90770448912476\n", + "\\item 5.81443381329226\n", + "\\item 2.93122756614533\n", + "\\item 2.51798921078279\n", + "\\item 1.10937531012304\n", + "\\item 1.20435807814422\n", + "\\item 0.891277381436535\n", + "\\item 2.11113046463001\n", + "\\item 4.67042418053942\n", + "\\item 4.54574061778008\n", + "\\item 3.77580219517658\n", + "\\item 4.60639240610079\n", + "\\item 2.33109363961709\n", + "\\item 2.63718790957631\n", + "\\item 1.30009428408923\n", + "\\item 4.09088578018864\n", + "\\item 8.24194815188949\n", + "\\item 4.97418042935953\n", + "\\item 5.84072626705304\n", + "\\item 5.42478683569898\n", + "\\item 2.15183587257417\n", + "\\item 3.02221413091953\n", + "\\item 2.98384863580795\n", + "\\item 5.79212006888386\n", + "\\item 10.3946801803407\n", + "\\item 6.71250060313818\n", + "\\item 1.21673288937884\n", + "\\item 4.60702669942087\n", + "\\item 3.17534198724473\n", + "\\item 3.38770531453622\n", + "\\item 0.941343855760696\n", + "\\item 3.60738437797701\n", + "\\item 3.94222915313361\n", + "\\item 3.9178629105431\n", + "\\item 6.47822109042175\n", + "\\item 3.89186467497063\n", + "\\item 3.29372217625198\n", + "\\item 6.2397936045297\n", + "\\item 3.98738118497759\n", + "\\item 9.55046773023114\n", + "\\item 5.14602590124637\n", + "\\item 4.29662288496755\n", + "\\item 5.41264971794683\n", + "\\item 4.34965590100022\n", + "\\item 3.62737231209197\n", + "\\item 1.91902601977452\n", + "\\item 1.05724843706374\n", + "\\item 3.8111024306151\n", + "\\item 3.25355227574996\n", + "\\item 5.25242597876265\n", + "\\item 4.45364509959382\n", + "\\item 4.42617151869501\n", + "\\item 3.26881493195503\n", + "\\item 3.31825892819495\n", + "\\item 3.3219240820814\n", + "\\item 3.56574798251067\n", + "\\item 4.86814632278622\n", + "\\item 4.27683796289975\n", + "\\item 4.97211586319933\n", + "\\item 4.18591383477998\n", + "\\item 1.47457610880964\n", + "\\item 2.53966203692898\n", + "\\item 1.55073177066158\n", + "\\item 3.40519980429444\n", + "\\item 4.74728855370968\n", + "\\item 4.37347435455523\n", + "\\item 3.44083991874521\n", + "\\item 3.97294337927082\n", + "\\item 1.11134367988241\n", + "\\item 4.75466399049343\n", + "\\item 1.03874259646598\n", + "\\item 5.71946582142335\n", + "\\item 2.81426943526272\n", + "\\item 4.28657091730482\n", + "\\item 4.63538120456388\n", + "\\item 2.99011363476387\n", + "\\item 6.60693337929454\n", + "\\item 6.17206958198491\n", + "\\item 4.50799196834931\n", + "\\item 3.88448492894313\n", + "\\item 4.12549526273666\n", + "\\item 2.50865514818591\n", + "\\item 2.91629697528928\n", + "\\item 1.42085731776504\n", + "\\item 0.990366032424225\n", + "\\item 4.50860832639442\n", + "\\item 2.50100541035331\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 5.27960383806294\n", + "\\item 4.86394151510451\n", + "\\item 1.34460631222613\n", + "\\item 9.24262738135583\n", + "\\item 1.3987003569924\n", + "\\item 9.43414843949606\n", + "\\item 3.57653825648737\n", + "\\item 5.44092824091048\n", + "\\item 8.026523535601\n", + "\\item 3.86200665770758\n", + "\\item 1.08101109368218\n", + "\\item 4.28550337198259\n", + "\\item 4.45799723329004\n", + "\\item 6.26461711206576\n", + "\\item 4.41027699554454\n", + "\\item 3.04967520803942\n", + "\\item 4.94751811376209\n", + "\\item 3.79895439278122\n", + "\\item 7.84004446335293\n", + "\\item 3.53559983873756\n", + "\\item 9.46378397453853\n", + "\\item 11.9901652488451\n", + "\\item 7.97660820808975\n", + "\\item 1.47668055385936\n", + "\\item 4.95771909678097\n", + "\\item 8.48109008170766\n", + "\\item 4.30518296374426\n", + "\\item 5.11645726080357\n", + "\\item 3.18104162644939\n", + "\\item 2.35197432780952\n", + "\\item 8.09529235837635\n", + "\\item 1.52345645892464\n", + "\\item 6.59740103485564\n", + "\\item 9.44253290497956\n", + "\\item 5.29472344518498\n", + "\\item 4.50049467480746\n", + "\\item 3.61550616968039\n", + "\\item 4.07456027181096\n", + "\\item 3.36496695810063\n", + "\\item 1.5176456069741\n", + "\\item 1.89526101983698\n", + "\\item 3.25862214792726\n", + "\\item 6.96620049974847\n", + "\\item 6.27253467325393\n", + "\\item 5.16587969490936\n", + "\\item 3.75319967212088\n", + "\\item 6.21906277826223\n", + "\\item 3.69692479234187\n", + "\\item 5.57340458660751\n", + "\\item 3.31941909053385\n", + "\\item 3.63248360439662\n", + "\\item 2.48759713817095\n", + "\\item 6.17364158421106\n", + "\\item 4.29791720448282\n", + "\\item 8.23131066627404\n", + "\\item 3.35194544483679\n", + "\\item 2.33577676145788\n", + "\\item 2.07548954378088\n", + "\\item 3.50948812028714\n", + "\\item 4.24121491147421\n", + "\\item 2.26650563389451\n", + "\\item 4.14609603369787\n", + "\\item 4.89646814927519\n", + "\\item 5.02091843312416\n", + "\\item 1.88767914104974\n", + "\\item 2.89625446285489\n", + "\\item 10.8117824636617\n", + "\\item 4.6497042061831\n", + "\\item 5.14924614190206\n", + "\\item 4.73633238874691\n", + "\\item 4.62993340122781\n", + "\\item 2.46930254401806\n", + "\\item 3.41215908610576\n", + "\\item 5.18030634491282\n", + "\\item 4.62545814034862\n", + "\\item 5.23523854871668\n", + "\\item 5.61329629865868\n", + "\\item 3.61815029215322\n", + "\\item 11.2927464151521\n", + "\\item 1.57294136688618\n", + "\\item 2.74652197396164\n", + "\\item 4.63977359814922\n", + "\\item 4.37010991978673\n", + "\\item 2.98754136365754\n", + "\\item 1.92763304885158\n", + "\\item 2.20987404613831\n", + "\\item 7.48281090643095\n", + "\\item 8.81376644889794\n", + "\\item 8.72376357537856\n", + "\\item 4.36891123242678\n", + "\\item 9.557429042931\n", + "\\item 1.29628777919912\n", + "\\item 6.85424952300887\n", + "\\item 2.48928305101826\n", + "\\item 2.4320584119959\n", + "\\item 1.51232983070678\n", + "\\item 4.37294385768726\n", + "\\item 6.86728565627638\n", + "\\item 7.57080914875038\n", + "\\item 5.83193805452212\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 7.05445831428572\n", + "\\item 2.11440681035259\n", + "\\item 4.33311827880144\n", + "\\item 10.6003157761093\n", + "\\item 6.19785685827575\n", + "\\item 1.31729459302533\n", + "\\item 0.475120792513975\n", + "\\item 6.40246999543335\n", + "\\item 2.18655365694908\n", + "\\item 3.48915298675693\n", + "\\item 1.25517031196061\n", + "\\item 2.48872261775926\n", + "\\item 2.46606656292188\n", + "\\item 2.02121932224158\n", + "\\item 2.32481415702523\n", + "\\item 1.83559166357582\n", + "\\item 5.33242790822904\n", + "\\item 6.02456216457427\n", + "\\item 3.78149204524225\n", + "\\item 5.09097738625914\n", + "\\item 3.53376122841889\n", + "\\item 6.25028302716601\n", + "\\item 2.38926534370005\n", + "\\item 3.12595047275903\n", + "\\item 2.36138643407906\n", + "\\item 2.14780755048376\n", + "\\item 1.59647191244695\n", + "\\item 1.23654695414209\n", + "\\item 3.15197372800689\n", + "\\item 9.4224766522352\n", + "\\item 1.18562913938342\n", + "\\item 7.00228458418043\n", + "\\item 0.741608987230027\n", + "\\item 4.03004219393751\n", + "\\item 5.6393524541768\n", + "\\item 3.83728663560348\n", + "\\item 5.48917049392053\n", + "\\item 1.28259109907999\n", + "\\item 2.85169075419712\n", + "\\item 7.60251314115149\n", + "\\item 3.88009479874367\n", + "\\item 11.3667246989281\n", + "\\item 10.703837367977\n", + "\\item 6.30102631945685\n", + "\\item 5.8568359428411\n", + "\\item 5.61393250741339\n", + "\\item 5.51401855292637\n", + "\\item 6.04430284603014\n", + "\\item 4.0649322580817\n", + "\\item 6.81942821086561\n", + "\\item 4.68480502380391\n", + "\\item 5.00775418623929\n", + "\\item 2.22339309721244\n", + "\\item 6.24230545803128\n", + "\\item 7.64732579220198\n", + "\\item 5.99567765796938\n", + "\\item 2.53096767289553\n", + "\\item 5.33814111828077\n", + "\\item 6.55338936261463\n", + "\\item 1.85171937582798\n", + "\\item 2.59594402389771\n", + "\\item 1.42040605638636\n", + "\\item 4.64666197654773\n", + "\\item 8.35438618624709\n", + "\\item 8.30249886979447\n", + "\\item 4.19711150289752\n", + "\\item 6.90399879603009\n", + "\\item 1.83425703922653\n", + "\\item 4.39813266829045\n", + "\\item 4.37071846978961\n", + "\\item 9.85833786172563\n", + "\\item 7.32245762415834\n", + "\\item 1.99276756194578\n", + "\\item 5.24976848260259\n", + "\\item 3.46183514184836\n", + "\\item 1.74264974423752\n", + "\\item 2.85737138913844\n", + "\\item 2.42030122430679\n", + "\\item 2.17948412343901\n", + "\\item 2.98914989849999\n", + "\\item 2.64212817546864\n", + "\\item 5.43810266870127\n", + "\\item 1.87034375077872\n", + "\\item 3.05411544963774\n", + "\\item 6.12345727253206\n", + "\\item 1.52577124791104\n", + "\\item 5.01108696066213\n", + "\\item 4.96083725167485\n", + "\\item 3.76005600373033\n", + "\\item 1.4106651141103\n", + "\\item 5.67168825382976\n", + "\\item 1.26376737263991\n", + "\\item 2.31593541507051\n", + "\\item 7.02886451247981\n", + "\\item 2.49369396251128\n", + "\\item 2.02039158318238\n", + "\\item 1.68324606382279\n", + "\\item 4.44451223805863\n", + "\\item 2.2623627264454\n", + "\\item 5.71591529717129\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 0.998339194727523\n", + "\\item 3.59504586869822\n", + "\\item 5.18230805800527\n", + "\\item 0.727767392802706\n", + "\\item 1.78338162453536\n", + "\\item 3.29622646842443\n", + "\\item 2.31023111156195\n", + "\\item 1.2945642447614\n", + "\\item 1.6186548823707\n", + "\\item 4.13471168649842\n", + "\\item 2.11926018797601\n", + "\\item 1.10037634067274\n", + "\\item 2.7806030621963\n", + "\\item 4.55587085349963\n", + "\\item 5.78558379076917\n", + "\\item 1.13458342459997\n", + "\\item 1.75996902593764\n", + "\\item 5.3664501904291\n", + "\\item 0.99817500456347\n", + "\\item 2.29347590991945\n", + "\\item 2.60264438147802\n", + "\\item 2.63971394853579\n", + "\\item 2.4245470223955\n", + "\\item 5.15045637229067\n", + "\\item 1.51113702264557\n", + "\\item 1.26730696056086\n", + "\\item 3.28543616685139\n", + "\\item 1.62224432619839\n", + "\\item 2.09116734836235\n", + "\\item 2.12202006115633\n", + "\\item 1.02858172633308\n", + "\\item 1.81574734830264\n", + "\\item 1.15909446420819\n", + "\\item 4.16215915601995\n", + "\\item 1.09714314864593\n", + "\\item 5.72419169951065\n", + "\\item 5.90459642124316\n", + "\\item 1.1226157812321\n", + "\\item 2.97664817763322\n", + "\\item 2.20416122278642\n", + "\\item 3.88276852499565\n", + "\\item 2.19817921903299\n", + "\\item 1.06637837718227\n", + "\\item 2.1259430715922\n", + "\\item 1.84323662653164\n", + "\\item 4.29716665821892\n", + "\\item 1.676880704483\n", + "\\item 7.06944404028829\n", + "\\item 2.67016645911746\n", + "\\item 1.72701922708146\n", + "\\item 2.02707436829334\n", + "\\item 0.718199102620869\n", + "\\item 3.43339619899521\n", + "\\item 1.64837926646679\n", + "\\item 3.10806351470528\n", + "\\item 1.12992372064949\n", + "\\item 1.9790526617254\n", + "\\item 5.78902226267249\n", + "\\item 2.98529185683048\n", + "\\item 1.23777455518941\n", + "\\item 6.05554067065117\n", + "\\item 2.51889233258511\n", + "\\item 1.85172414818084\n", + "\\item 1.65932143002637\n", + "\\item 1.30375565301706\n", + "\\item 0.956987644812743\n", + "\\item 3.8468511826125\n", + "\\item 0.965748853116979\n", + "\\item 9.06756255792629\n", + "\\item 7.08495610131407\n", + "\\item 2.39887438890253\n", + "\\item 1.68274790519322\n", + "\\item 4.27779722755304\n", + "\\item 5.38295596572039\n", + "\\item 3.12824272334004\n", + "\\item 6.57347497869333\n", + "\\item 0.897501730638929\n", + "\\item 5.23200723699762\n", + "\\item 1.66997509293778\n", + "\\item 3.14043444524247\n", + "\\item 2.01260395925615\n", + "\\item 2.38688243146514\n", + "\\item 2.9556089843633\n", + "\\item 1.57909330765992\n", + "\\item 1.25068845004113\n", + "\\item 2.54888864144351\n", + "\\item 1.3719582847074\n", + "\\item 1.21127107453278\n", + "\\item 1.66968266254263\n", + "\\item 1.11518958615763\n", + "\\item 3.2322066417936\n", + "\\item 1.06133587887855\n", + "\\item 1.25211264470525\n", + "\\item 1.83475479061237\n", + "\\item 1.12137650913379\n", + "\\item 2.92690239182026\n", + "\\item 2.861233167657\n", + "\\item 1.24196123137063\n", + "\\item 1.54064298134361\n", + "\\item 0.762268179227133\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 1.43643880405206\n", + "\\item 1.54867478956706\n", + "\\item 3.87621896582577\n", + "\\item 1.94726870172462\n", + "\\item 2.5742339576891\n", + "\\item 5.2171820522162\n", + "\\item 3.52081280689769\n", + "\\item 6.02398871771579\n", + "\\item 4.51102817150064\n", + "\\item 2.65981762009627\n", + "\\item 1.46275140135667\n", + "\\item 5.75290458314056\n", + "\\item 3.98550648781157\n", + "\\item 4.12321353789506\n", + "\\item 1.32802398212194\n", + "\\item 2.94062064732912\n", + "\\item 3.66706361358782\n", + "\\item 1.55519841885136\n", + "\\item 1.89613053750265\n", + "\\item 1.60312325950956\n", + "\\item 2.46052750570694\n", + "\\item 2.82990273763866\n", + "\\item 1.5633790954497\n", + "\\item 4.84549682334206\n", + "\\item 1.74414322819176\n", + "\\item 5.18983791478587\n", + "\\item 0.844247228362056\n", + "\\item 4.35367067298296\n", + "\\item 6.43907927597862\n", + "\\item 7.30673880477658\n", + "\\item 3.66223255011627\n", + "\\item 1.0979725373601\n", + "\\item 2.92047937027794\n", + "\\item 5.1468672003422\n", + "\\item 4.08975625538041\n", + "\\item 3.06536343718075\n", + "\\item 5.33507206273269\n", + "\\item 6.37687260211683\n", + "\\item 4.525984624515\n", + "\\item 5.75978500222561\n", + "\\item 2.94346003170871\n", + "\\item 5.91311064121097\n", + "\\item 1.11570382619415\n", + "\\item 2.1952775045174\n", + "\\item 4.14634647459473\n", + "\\item 5.8286000896229\n", + "\\item 4.31981344490456\n", + "\\item 2.89241213642501\n", + "\\item 3.02401973733788\n", + "\\item 1.58029083447084\n", + "\\item 5.31997180366737\n", + "\\item 4.68173763198653\n", + "\\item 2.40621419744565\n", + "\\item 3.03923300147406\n", + "\\item 5.14894958828532\n", + "\\item 6.12188897150415\n", + "\\item 5.08321008173743\n", + "\\item 2.21670091070366\n", + "\\item 2.83550500594612\n", + "\\item 2.69463580897004\n", + "\\item 6.7518684186614\n", + "\\item 3.84109130270764\n", + "\\item 2.53422031002786\n", + "\\item 0.951731400849121\n", + "\\item 4.15103742109718\n", + "\\item 2.22803806951928\n", + "\\item 5.13219386444939\n", + "\\item 2.93156989153062\n", + "\\item 1.05566948573595\n", + "\\item 1.92842120293313\n", + "\\item 3.16479537221521\n", + "\\item 1.51909188260437\n", + "\\item 2.20626921350063\n", + "\\item 4.87737564447012\n", + "\\item 6.0588877289465\n", + "\\item 1.67898829135586\n", + "\\item 2.94425149766152\n", + "\\item 1.32002051551156\n", + "\\item 4.8019292384043\n", + "\\item 4.23627131186268\n", + "\\item 3.46659002452724\n", + "\\item 6.07240336250166\n", + "\\item 2.73528214309522\n", + "\\item 5.4984960446979\n", + "\\item 2.44153288168726\n", + "\\item 4.1036833644979\n", + "\\item 6.40760228531041\n", + "\\item 1.66058418362417\n", + "\\item 0.651160160248533\n", + "\\item 3.55444497177945\n", + "\\item 3.53710510477784\n", + "\\item 3.7161524986302\n", + "\\item 5.06451679462338\n", + "\\item 1.45429005740805\n", + "\\item 2.8513645812963\n", + "\\item 2.67416636394247\n", + "\\item 4.97914632778663\n", + "\\item 2.66009332083154\n", + "\\item 1.56295942135331\n", + "\\item 2.82828156545098\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 5.31123599665174\n", + "\\item 2.6782399299104\n", + "\\item 4.06903211031843\n", + "\\item 2.46559724931941\n", + "\\item 5.63716257897125\n", + "\\item 2.45129259929994\n", + "\\item 8.11032780677088\n", + "\\item 6.76869142548798\n", + "\\item 8.06804523781269\n", + "\\item 2.97936537404365\n", + "\\item 3.29828292124787\n", + "\\item 4.14968351037537\n", + "\\item 4.35342353152183\n", + "\\item 1.55830073013505\n", + "\\item 5.6602059141095\n", + "\\item 3.60205864051197\n", + "\\item 4.00122878423867\n", + "\\item 2.96539846775199\n", + "\\item 4.30188369787398\n", + "\\item 3.58186691096708\n", + "\\item 2.3949657661787\n", + "\\item 4.38613793456937\n", + "\\item 1.86846822853612\n", + "\\item 2.24395133157509\n", + "\\item 4.37439138652786\n", + "\\item 3.64357168724138\n", + "\\item 2.09522410607595\n", + "\\item 3.11252919332491\n", + "\\item 1.13987211188936\n", + "\\item 2.37354077351319\n", + "\\item 3.5888382405005\n", + "\\item 6.58410575049697\n", + "\\item 9.39341916323933\n", + "\\item 3.16879812497586\n", + "\\item 2.05557493952022\n", + "\\item 1.94904257707117\n", + "\\item 1.50887401299584\n", + "\\item 1.94976800002086\n", + "\\item 2.25270849425213\n", + "\\item 3.48065220462912\n", + "\\item 2.03898225609372\n", + "\\item 2.70210938127278\n", + "\\item 1.86810689013887\n", + "\\item 7.44540104856528\n", + "\\item 2.61896134534881\n", + "\\item 4.46653136400798\n", + "\\item 1.23162681910072\n", + "\\item 3.30431400491656\n", + "\\item 2.0159740172404\n", + "\\item 1.90055175529677\n", + "\\item 1.90743535102928\n", + "\\item 8.55796456474423\n", + "\\item 1.10823498277059\n", + "\\item 3.8256951961443\n", + "\\item 6.18206807526252\n", + "\\item 8.08380463855267\n", + "\\item 6.99113546122814\n", + "\\item 1.44595199843346\n", + "\\item 3.89004504882135\n", + "\\item 7.27955435245444\n", + "\\item 3.03143384685337\n", + "\\item 3.07312717500267\n", + "\\item 4.16906882335074\n", + "\\item 2.00683887868271\n", + "\\item 2.58085638155415\n", + "\\item 4.85477206618362\n", + "\\item 1.46576258350094\n", + "\\item 1.79336947108072\n", + "\\item 6.88305820850394\n", + "\\item 2.6092720463159\n", + "\\item 2.16620261453973\n", + "\\item 3.49382814518736\n", + "\\item 6.12850487601244\n", + "\\item 2.90178719374118\n", + "\\item 3.37895866678373\n", + "\\item 4.20415058944357\n", + "\\item 4.15956763947138\n", + "\\item 4.50171177962191\n", + "\\item 5.40882538719338\n", + "\\item 5.33171920885349\n", + "\\item 1.26627930830959\n", + "\\item 7.5871784381666\n", + "\\item 4.59798170314301\n", + "\\item 4.86161260376263\n", + "\\item 3.75285573073823\n", + "\\item 6.78634126785394\n", + "\\item 4.05362397260599\n", + "\\item 3.10673646460336\n", + "\\item 2.93727014691759\n", + "\\item 2.17440026460763\n", + "\\item 0.990088498831513\n", + "\\item 2.64208896655188\n", + "\\item 4.52615607367195\n", + "\\item 4.65959282833915\n", + "\\item 4.31195576014804\n", + "\\item 5.9642136288838\n", + "\\item 7.9942527571839\n", + "\\item 8.83394161713035\n", + "\\item 6.22396372490012\n", + "\\item 3.70240794926587\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 10.4526521051621\n", + "\\item 2.51866387434055\n", + "\\item 4.92786311363469\n", + "\\item 3.8875002759213\n", + "\\item 2.66783936644446\n", + "\\item 2.74023376498258\n", + "\\item 1.7341884219078\n", + "\\item 1.09756538134191\n", + "\\item 5.62313879726521\n", + "\\item 1.06727122887135\n", + "\\item 6.36268412203547\n", + "\\item 8.99499335599424\n", + "\\item 3.06489214057882\n", + "\\item 2.42870118965495\n", + "\\item 4.43516282992955\n", + "\\item 1.82076166800488\n", + "\\item 2.06666236200352\n", + "\\item 5.47448109949682\n", + "\\item 6.53302707195576\n", + "\\item 2.75807399827481\n", + "\\item 2.94105352728979\n", + "\\item 0.867816087552038\n", + "\\item 5.33951092107493\n", + "\\item 2.79057935793874\n", + "\\item 1.50428787540203\n", + "\\item 6.24014093855965\n", + "\\item 1.55948551130947\n", + "\\item 4.96283734584717\n", + "\\item 4.30269816910587\n", + "\\item 2.95507028269207\n", + "\\item 5.422381225354\n", + "\\item 9.26287125548401\n", + "\\item 5.82190884338283\n", + "\\item 2.81792470899289\n", + "\\item 4.17607248016334\n", + "\\item 5.78441354192855\n", + "\\item 1.08424453985276\n", + "\\item 3.50183615304928\n", + "\\item 1.67656500084971\n", + "\\item 1.29082570862042\n", + "\\item 2.90225271261648\n", + "\\item 6.91957534691616\n", + "\\item 1.66393033921108\n", + "\\item 6.20969311121987\n", + "\\item 0.800148198352963\n", + "\\item 3.12763662350297\n", + "\\item 4.24083758644514\n", + "\\item 2.26113019116354\n", + "\\item 7.7314182292677\n", + "\\item 5.26984002325146\n", + "\\item 2.79190036230627\n", + "\\item 2.27999917745078\n", + "\\item 4.98869932576026\n", + "\\item 4.4955591419767\n", + "\\item 3.92844614663785\n", + "\\item 0.999550086203963\n", + "\\item 5.51233633191641\n", + "\\item 6.58426456563903\n", + "\\item 1.45297422218786\n", + "\\item 1.58516552968991\n", + "\\item 4.11445477122049\n", + "\\item 4.00586870703575\n", + "\\item 7.02231833330877\n", + "\\item 4.7526636003567\n", + "\\item 9.37990078141619\n", + "\\item 2.63572059497556\n", + "\\item 1.96105805331577\n", + "\\item 2.50864844367821\n", + "\\item 1.73642024579219\n", + "\\item 1.70843723269708\n", + "\\item 1.19811780364575\n", + "\\item 2.74402442340597\n", + "\\item 1.88864676269605\n", + "\\item 3.84955644412535\n", + "\\item 3.38774090496417\n", + "\\item 1.67805350094979\n", + "\\item 2.93348640032768\n", + "\\item 2.77654442986113\n", + "\\item 9.49405218412434\n", + "\\item 1.47443916792082\n", + "\\item 5.69935930340726\n", + "\\item 5.3590202335195\n", + "\\item 6.11234470163938\n", + "\\item 4.94206183214134\n", + "\\item 5.46981170732008\n", + "\\item 3.79794759252856\n", + "\\item 5.31375855956185\n", + "\\item 6.76725791373714\n", + "\\item 7.09759017435392\n", + "\\item 2.24835279029714\n", + "\\item 1.53726921500642\n", + "\\item 4.08854573643648\n", + "\\item 2.49937798926393\n", + "\\item 3.25710688643049\n", + "\\item 5.79530714182709\n", + "\\item 3.95566412968168\n", + "\\item 1.77296403371723\n", + "\\item 5.8124045749696\n", + "\\item 5.58467802006371\n", + "\\item 1.37793723741118\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 5.09301510126004\n", + "\\item 2.59017986916075\n", + "\\item 4.93102914931453\n", + "\\item 3.6850494446169\n", + "\\item 4.36151722061351\n", + "\\item 5.67817918151401\n", + "\\item 6.57699528470907\n", + "\\item 2.56994611453519\n", + "\\item 6.57955788043246\n", + "\\item 5.50393672216401\n", + "\\item 5.646580412283\n", + "\\item 3.54533991087374\n", + "\\item 1.94437324383978\n", + "\\item 2.10432073603472\n", + "\\item 2.9863787677771\n", + "\\item 2.66628202767887\n", + "\\item 1.14085693391141\n", + "\\item 5.04321869378984\n", + "\\item 7.37594925308816\n", + "\\item 8.13461356174798\n", + "\\item 2.66837055509067\n", + "\\item 5.52377136988509\n", + "\\item 3.47259927610317\n", + "\\item 3.26129784658306\n", + "\\item 6.58640833706442\n", + "\\item 1.57264567858051\n", + "\\item 3.29216216621452\n", + "\\item 2.19715959176736\n", + "\\item 5.35103282354955\n", + "\\item 0.678554674556883\n", + "\\item 5.70870009989537\n", + "\\item 9.66191577398825\n", + "\\item 7.86382656996831\n", + "\\item 3.06787775935674\n", + "\\item 5.64095555666707\n", + "\\item 6.35307980878714\n", + "\\item 6.81914109885297\n", + "\\item 3.54174284300462\n", + "\\item 1.88571350466238\n", + "\\item 3.0799880963638\n", + "\\item 3.71235018710165\n", + "\\item 5.35891955181887\n", + "\\item 6.91833643230657\n", + "\\item 2.21606428646983\n", + "\\item 5.26896804987689\n", + "\\item 4.07361121796019\n", + "\\item 0.929733136517054\n", + "\\item 1.59501232117136\n", + "\\item 5.64367023651203\n", + "\\item 4.29677386315364\n", + "\\item 8.13408488844321\n", + "\\item 3.12372950142313\n", + "\\item 3.17150552029658\n", + "\\item 2.17448367599913\n", + "\\item 3.26232720301522\n", + "\\item 5.6740209159521\n", + "\\item 3.05391283067407\n", + "\\item 5.63644318167605\n", + "\\item 1.81508666832576\n", + "\\item 2.66831946318201\n", + "\\item 3.42669348239697\n", + "\\item 2.66449013365484\n", + "\\item 5.65454891756714\n", + "\\item 6.34545009865251\n", + "\\item 5.52933126751571\n", + "\\item 5.00789443893993\n", + "\\item 2.8224700582697\n", + "\\item 8.04114947689733\n", + "\\item 3.05137794119346\n", + "\\item 1.65286889798413\n", + "\\item 6.97073587249261\n", + "\\item 3.23772669796999\n", + "\\item 2.67588762953794\n", + "\\item 2.56020959272308\n", + "\\item 6.61954278899224\n", + "\\item 0.858132574424284\n", + "\\item 1.95153763052946\n", + "\\item 2.33530152976736\n", + "\\item 6.2870462406345\n", + "\\item 7.71194944070257\n", + "\\item 2.3675316597369\n", + "\\item 6.46031186943194\n", + "\\item 2.9782470110051\n", + "\\item 6.03706700167875\n", + "\\item 2.82217026445676\n", + "\\item 2.71070006533968\n", + "\\item 5.68319399234432\n", + "\\item 10.0636579760528\n", + "\\item 4.3865762012892\n", + "\\item 4.66451159951664\n", + "\\item 11.4524443837179\n", + "\\item 3.57679625501646\n", + "\\item 5.12664299727215\n", + "\\item 4.24159762062656\n", + "\\item 5.05575171655485\n", + "\\item 3.92755046847105\n", + "\\item 3.68081474631123\n", + "\\item 4.54431916153332\n", + "\\item 4.19712182854816\n", + "\\item 2.14146755330852\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 2.04146146097474\n", + "\\item 2.42554203336452\n", + "\\item 5.25249396126971\n", + "\\item 6.19263756309587\n", + "\\item 4.62362494806606\n", + "\\item 4.09340335092382\n", + "\\item 1.93115853027738\n", + "\\item 1.26219544794501\n", + "\\item 1.39292734017683\n", + "\\item 6.64912605674998\n", + "\\item 3.87415121741122\n", + "\\item 3.52534085845787\n", + "\\item 3.27585579081467\n", + "\\item 1.42598534713456\n", + "\\item 1.37343204848947\n", + "\\item 3.12273537182672\n", + "\\item 4.50637881201643\n", + "\\item 4.45828089388747\n", + "\\item 3.23627070875351\n", + "\\item 4.25276398281523\n", + "\\item 3.78857082612984\n", + "\\item 2.14046171983346\n", + "\\item 1.76159567747779\n", + "\\item 4.16967480133055\n", + "\\item 2.58009851216467\n", + "\\item 1.1019584219254\n", + "\\item 1.727132675334\n", + "\\item 1.51970545019593\n", + "\\item 4.95530366487367\n", + "\\item 4.07938147282209\n", + "\\item 1.53444272760632\n", + "\\item 0.431415774415312\n", + "\\item 0.85691615345478\n", + "\\item 5.77623716501355\n", + "\\item 3.55366843475954\n", + "\\item 1.56832368814692\n", + "\\item 1.25145141958583\n", + "\\item 3.30678262446153\n", + "\\item 4.27530576831439\n", + "\\item 0.472475633419961\n", + "\\item 1.23141030940955\n", + "\\item 2.46179807333542\n", + "\\item 0.530654406606547\n", + "\\item 1.44914302291089\n", + "\\item 1.18470677808123\n", + "\\item 0.334843055788787\n", + "\\item 2.24789693467148\n", + "\\item 3.66222658666611\n", + "\\item 0.651384460631593\n", + "\\item 4.68466307668709\n", + "\\item 1.35850908221928\n", + "\\item 1.64079495349557\n", + "\\item 3.17735022165765\n", + "\\item 2.02334097137212\n", + "\\item 3.74371991379895\n", + "\\item 2.45139863796661\n", + "\\item 4.76052806118108\n", + "\\item 4.93497303104865\n", + "\\item 1.43496174800101\n", + "\\item 2.38517894722624\n", + "\\item 2.83222800576101\n", + "\\item 5.73817660483561\n", + "\\item 3.13022090527497\n", + "\\item 5.75687094906348\n", + "\\item 2.52952353273524\n", + "\\item 0.641764419555756\n", + "\\item 5.69308167587773\n", + "\\item 5.3994040982222\n", + "\\item 3.84091395089706\n", + "\\item 1.33861790695842\n", + "\\item 3.84842783875693\n", + "\\item 1.81922062199453\n", + "\\item 1.87676134651359\n", + "\\item 0.689927407833831\n", + "\\item 1.49037097042834\n", + "\\item 0.552457590870918\n", + "\\item 1.41006429297135\n", + "\\item 4.91884005110471\n", + "\\item 3.88768971456017\n", + "\\item 2.83677352437254\n", + "\\item 2.71636305053575\n", + "\\item 1.07476012784537\n", + "\\item 2.6352059103364\n", + "\\item 2.15305157582722\n", + "\\item 2.6621805412283\n", + "\\item 0.559108906844843\n", + "\\item 3.60015333752607\n", + "\\item 1.61096782878387\n", + "\\item 1.5474636329926\n", + "\\item 1.92553114094238\n", + "\\item 1.78867372891052\n", + "\\item 4.81926158272027\n", + "\\item 2.91362060774003\n", + "\\item 1.29529540258203\n", + "\\item 4.2895630854609\n", + "\\item 3.19433034008136\n", + "\\item 4.18337653538384\n", + "\\item 0.675435856280608\n", + "\\item 1.29845027240727\n", + "\\item 7.11598618003524\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 4.43944704890988\n", + "\\item 3.54231122384243\n", + "\\item 9.91757142656201\n", + "\\item 5.04147848446689\n", + "\\item 5.97730048608501\n", + "\\item 1.15287230275333\n", + "\\item 3.50973740946375\n", + "\\item 5.88083151811405\n", + "\\item 4.00905563289877\n", + "\\item 7.71647258845813\n", + "\\item 7.56332902348785\n", + "\\item 4.07457600763432\n", + "\\item 2.60613427024997\n", + "\\item 4.18475456574651\n", + "\\item 5.4416653905488\n", + "\\item 4.6890959032634\n", + "\\item 3.13349477761043\n", + "\\item 4.11504935504607\n", + "\\item 4.61905397145515\n", + "\\item 5.95511991407191\n", + "\\item 4.61270123566858\n", + "\\item 3.39026348666788\n", + "\\item 3.73955598196214\n", + "\\item 7.11583373551326\n", + "\\item 3.24644432594063\n", + "\\item 8.19249580489309\n", + "\\item 4.04429946704869\n", + "\\item 7.54922381863185\n", + "\\item 5.43602438568103\n", + "\\item 2.5915246945874\n", + "\\item 6.15477711289347\n", + "\\item 1.56820798156013\n", + "\\item 4.89706317802843\n", + "\\item 1.44411387712469\n", + "\\item 6.22505578756493\n", + "\\item 3.19627609883623\n", + "\\item 1.64145654509368\n", + "\\item 6.72592228882691\n", + "\\item 8.24544280599653\n", + "\\item 3.37857855698227\n", + "\\item 4.91461992529451\n", + "\\item 4.91003768061374\n", + "\\item 4.09619715338891\n", + "\\item 2.83810343471771\n", + "\\item 2.08150018190126\n", + "\\item 4.44743128572487\n", + "\\item 3.68884833098128\n", + "\\item 4.56853766798641\n", + "\\item 3.03637610948974\n", + "\\item 4.06070729208018\n", + "\\item 5.53239352132721\n", + "\\item 0.68197370500225\n", + "\\item 7.3995770941421\n", + "\\item 4.52232704850611\n", + "\\item 8.97801252015206\n", + "\\item 3.97397917856927\n", + "\\item 7.55351413077734\n", + "\\item 1.92064354509496\n", + "\\item 1.55321275272765\n", + "\\item 2.94193388160428\n", + "\\item 6.7855561305636\n", + "\\item 1.21969369680606\n", + "\\item 6.23351538450622\n", + "\\item 3.72854868095465\n", + "\\item 1.70880586167537\n", + "\\item 7.08779361220186\n", + "\\item 7.08197492354052\n", + "\\item 7.82385077022362\n", + "\\item 4.87845320495577\n", + "\\item 5.19480164775158\n", + "\\item 5.04996939004307\n", + "\\item 6.0580602687296\n", + "\\item 5.38637104536737\n", + "\\item 5.29467546181735\n", + "\\item 1.93307295200606\n", + "\\item 4.51076107400563\n", + "\\item 1.57604180482628\n", + "\\item 1.72698149409875\n", + "\\item 2.32250771311727\n", + "\\item 6.69450290284423\n", + "\\item 2.18900289645537\n", + "\\item 5.99477950461434\n", + "\\item 2.96418889367398\n", + "\\item 3.15506895289002\n", + "\\item 7.86743024143043\n", + "\\item 5.40840685271142\n", + "\\item 3.45538578412009\n", + "\\item 4.5320324201743\n", + "\\item 2.33814519226334\n", + "\\item 6.79974000787963\n", + "\\item 2.39859169711112\n", + "\\item 1.94686568029196\n", + "\\item 6.28300231798968\n", + "\\item 5.97977876282073\n", + "\\item 1.95333222138206\n", + "\\item 3.53392062515595\n", + "\\item 6.7164339394685\n", + "\\item 4.44654046050198\n", + "\\item 1.89288546957546\n", + "\\item 5.67134591426356\n", + "\\end{enumerate}\n", + "\n", + "\\end{enumerate}\n", + "\n", + "\\end{description}\n" + ], + "text/markdown": [ + "$num_boot\n", + ": 100\n", + "$method\n", + ": 'RF'\n", + "$stab_index\n", + ": 1. 0.07\n", + "2. 0.03\n", + "3. 0.06\n", + "4. 0.02\n", + "5. 0.05\n", + "6. 0.04\n", + "7. 0.04\n", + "8. 0.03\n", + "9. 0.04\n", + "10. 0.03\n", + "11. 0.02\n", + "12. 0.01\n", + "13. 0.05\n", + "14. 0.03\n", + "15. 0.02\n", + "16. 0.05\n", + "17. 0.04\n", + "18. 0.06\n", + "19. 0.06\n", + "20. 0.06\n", + "21. 0.11\n", + "22. 0.05\n", + "23. 0.05\n", + "24. 0.04\n", + "25. 0.04\n", + "26. 0.04\n", + "27. 0.03\n", + "28. 0.04\n", + "29. 0.04\n", + "30. 0.05\n", + "31. 0.02\n", + "32. 0.05\n", + "33. 0.04\n", + "34. 0.06\n", + "35. 0.05\n", + "36. 0.06\n", + "37. 0.07\n", + "38. 0.05\n", + "39. 0.03\n", + "40. 0.03\n", + "41. 0.03\n", + "42. 0.02\n", + "43. 0.02\n", + "44. 0.03\n", + "45. 0.05\n", + "46. 0.03\n", + "47. 0.05\n", + "48. 0.02\n", + "49. 0.04\n", + "50. 0.04\n", + "51. 0.01\n", + "52. 0.04\n", + "53. 0.06\n", + "54. 0.02\n", + "55. 0.03\n", + "56. 0.07\n", + "57. 0.02\n", + "58. 0.02\n", + "59. 0.03\n", + "60. 0.04\n", + "61. 0.03\n", + "62. 0.01\n", + "63. 0.07\n", + "64. 0.03\n", + "65. 0.03\n", + "66. 0.03\n", + "67. 0.03\n", + "68. 0.03\n", + "69. 0.06\n", + "70. 0.04\n", + "71. 0.05\n", + "72. 0.06\n", + "73. 0.03\n", + "74. 0.04\n", + "75. 0.08\n", + "76. 0.03\n", + "77. 0.05\n", + "78. 0.04\n", + "79. 0.05\n", + "80. 0.05\n", + "81. 0.09\n", + "82. 0.03\n", + "83. 0.04\n", + "84. 0.03\n", + "85. 0.08\n", + "86. 0.02\n", + "87. 0.01\n", + "88. 0.03\n", + "89. 0.04\n", + "90. 0.03\n", + "91. 0.01\n", + "92. 0.05\n", + "93. 0.04\n", + "94. 0.03\n", + "95. 0.05\n", + "96. 0.03\n", + "97. 0.05\n", + "98. 0.05\n", + "99. 0.03\n", + "100. 0.04\n", + "\n", + "\n", + "\n", + "$MSE_list\n", + ": 1. 1. 4.24652195647008\n", + "2. 4.73773613097135\n", + "3. 2.0321873386989\n", + "4. 5.01697843233564\n", + "5. 5.1259150110502\n", + "6. 6.80593659586904\n", + "7. 5.07917219182361\n", + "8. 1.2879014360624\n", + "9. 5.38321982666049\n", + "10. 3.8617669962733\n", + "11. 6.00404884084858\n", + "12. 6.08992564084563\n", + "13. 3.33183710048462\n", + "14. 3.41638912945331\n", + "15. 5.95065500815286\n", + "16. 4.49603057409989\n", + "17. 4.58559509473614\n", + "18. 5.58656197672676\n", + "19. 3.63695452092639\n", + "20. 5.72853987593844\n", + "21. 7.19264776805786\n", + "22. 1.74735999520989\n", + "23. 5.29388207910599\n", + "24. 4.20895287022613\n", + "25. 1.86223955822394\n", + "26. 7.30621759933235\n", + "27. 6.11994921739044\n", + "28. 3.47452366127991\n", + "29. 5.00876026204143\n", + "30. 12.6490810260065\n", + "31. 1.94640352359205\n", + "32. 5.13502270476169\n", + "33. 5.52719501380298\n", + "34. 7.00647081481206\n", + "35. 9.33493115319036\n", + "36. 2.52306446769195\n", + "37. 6.5764865554024\n", + "38. 2.41756101852753\n", + "39. 4.72735957906681\n", + "40. 7.85100812845516\n", + "41. 5.77569221505078\n", + "42. 7.00515559898598\n", + "43. 3.25051374846321\n", + "44. 5.09179107962835\n", + "45. 5.76475451270954\n", + "46. 4.36588345939211\n", + "47. 9.21987480423847\n", + "48. 1.87844136250597\n", + "49. 6.03518349958949\n", + "50. 4.79955610817934\n", + "51. 7.14022494988971\n", + "52. 7.15850311860438\n", + "53. 6.25868361057864\n", + "54. 4.19416618565054\n", + "55. 5.00172324248809\n", + "56. 5.17672006210958\n", + "57. 1.76354656280377\n", + "58. 4.57260596297579\n", + "59. 3.89046659855719\n", + "60. 4.32743906883138\n", + "61. 4.27876378259525\n", + "62. 5.32018063415128\n", + "63. 4.80008217899582\n", + "64. 5.65577484679599\n", + "65. 4.74626098568173\n", + "66. 6.67716536328452\n", + "67. 3.77896576733603\n", + "68. 1.26890725570196\n", + "69. 5.10763883214485\n", + "70. 3.93831850747514\n", + "71. 7.48849490520092\n", + "72. 4.9776874269334\n", + "73. 8.41699954732009\n", + "74. 5.47336566206669\n", + "75. 3.34145422596577\n", + "76. 2.48552330584171\n", + "77. 5.8746678889885\n", + "78. 9.07692160194136\n", + "79. 4.56895138194045\n", + "80. 3.06892093349693\n", + "81. 3.96600488095637\n", + "82. 4.66233912280062\n", + "83. 5.74671650832867\n", + "84. 3.60192784704757\n", + "85. 4.50616059301896\n", + "86. 2.37190836994564\n", + "87. 5.11872819238965\n", + "88. 7.46568384570506\n", + "89. 4.48037270317786\n", + "90. 4.78373888931157\n", + "91. 5.19262256629057\n", + "92. 1.55925115723769\n", + "93. 5.065383921533\n", + "94. 4.37837949226807\n", + "95. 0.773396664154582\n", + "96. 4.09662079329817\n", + "97. 6.01151231763694\n", + "98. 4.11938126982533\n", + "99. 1.40342947316318\n", + "100. 6.9470190756302\n", + "\n", + "\n", + "\n", + "2. 1. 2.46881263582371\n", + "2. 1.62045593449371\n", + "3. 3.07803424538513\n", + "4. 3.66161806363493\n", + "5. 2.34377097700735\n", + "6. 1.9969812866353\n", + "7. 1.29820112474317\n", + "8. 3.23813624714989\n", + "9. 2.33997680124666\n", + "10. 2.94720298508904\n", + "11. 1.81240876062063\n", + "12. 2.62312550772082\n", + "13. 1.31759846559883\n", + "14. 2.03915171327889\n", + "15. 2.15700593490724\n", + "16. 1.75262026791636\n", + "17. 1.52688021410064\n", + "18. 1.49382704699933\n", + "19. 3.09948891343005\n", + "20. 2.18558170551254\n", + "21. 2.4977058922576\n", + "22. 4.48632339348615\n", + "23. 3.54879167613962\n", + "24. 1.91918917596757\n", + "25. 4.61612048948843\n", + "26. 1.32685480495038\n", + "27. 1.18464343137893\n", + "28. 1.08745811916229\n", + "29. 2.82670080514885\n", + "30. 1.66398819993051\n", + "31. 2.09431055198367\n", + "32. 1.28620018867611\n", + "33. 1.20101134832588\n", + "34. 1.09292234924811\n", + "35. 1.91648097731109\n", + "36. 0.9961443837822\n", + "37. 2.15476419846658\n", + "38. 1.9710273267601\n", + "39. 1.27971467661341\n", + "40. 2.61898160734866\n", + "41. 0.985808401451475\n", + "42. 2.10240353678563\n", + "43. 1.62603197577005\n", + "44. 2.25809243218316\n", + "45. 2.83995138656136\n", + "46. 4.19536641079281\n", + "47. 1.0889098905904\n", + "48. 1.94501104752594\n", + "49. 1.75732347243258\n", + "50. 2.51278519396306\n", + "51. 4.85860653762593\n", + "52. 2.10629673955748\n", + "53. 1.39355872948323\n", + "54. 0.578597224901788\n", + "55. 1.59147856674317\n", + "56. 1.40514863543406\n", + "57. 1.97039835678148\n", + "58. 3.14196658482327\n", + "59. 2.82663590546549\n", + "60. 1.08467262450716\n", + "61. 2.2660238430662\n", + "62. 1.39650903160658\n", + "63. 1.08583865602202\n", + "64. 2.33180237817936\n", + "65. 2.26077921524661\n", + "66. 0.663959010876274\n", + "67. 2.98769659897406\n", + "68. 2.44754995476291\n", + "69. 4.19724900910533\n", + "70. 1.50556582011194\n", + "71. 2.54802658746243\n", + "72. 3.78544988245465\n", + "73. 3.73442535629066\n", + "74. 4.2068277013404\n", + "75. 3.41966894208583\n", + "76. 1.34611641344928\n", + "77. 2.50443148222372\n", + "78. 1.71325842601776\n", + "79. 2.95417063977421\n", + "80. 1.02514968134709\n", + "81. 2.05391145088801\n", + "82. 0.410738565792157\n", + "83. 1.34446541997674\n", + "84. 2.69983387449726\n", + "85. 3.07090095891471\n", + "86. 1.84317057169874\n", + "87. 1.11977643313682\n", + "88. 1.10034973991027\n", + "89. 2.7034803013923\n", + "90. 1.82968668888558\n", + "91. 1.63160459606609\n", + "92. 1.2234732526554\n", + "93. 1.93996949498478\n", + "94. 2.16949927233318\n", + "95. 2.53629918805295\n", + "96. 1.00169921466884\n", + "97. 1.41066718913965\n", + "98. 1.2467777773211\n", + "99. 1.91837191765572\n", + "100. 4.27534300809592\n", + "\n", + "\n", + "\n", + "3. 1. 7.89699559416302\n", + "2. 4.68395954667344\n", + "3. 6.65287410165553\n", + "4. 2.04299898265588\n", + "5. 8.09750807752616\n", + "6. 9.80584088915483\n", + "7. 1.71425003049285\n", + "8. 8.35662851500259\n", + "9. 4.41221576256622\n", + "10. 3.59858430815463\n", + "11. 3.27877770520898\n", + "12. 7.41604022683118\n", + "13. 9.54357145783108\n", + "14. 3.12990656797859\n", + "15. 8.7426389448414\n", + "16. 3.13739344701759\n", + "17. 2.78994886118879\n", + "18. 4.65790296687221\n", + "19. 5.61048824015662\n", + "20. 8.97593046335913\n", + "21. 7.76789401652646\n", + "22. 7.89915157546547\n", + "23. 6.02965377275651\n", + "24. 10.4046527951656\n", + "25. 4.09615530544779\n", + "26. 4.97520299970727\n", + "27. 3.96613419861903\n", + "28. 4.06146425836093\n", + "29. 4.87968524685722\n", + "30. 3.37573023491725\n", + "31. 7.98023630785773\n", + "32. 8.64273232513886\n", + "33. 8.61460793724278\n", + "34. 2.79251610297863\n", + "35. 6.54256347747618\n", + "36. 6.05463411538655\n", + "37. 12.1108491503986\n", + "38. 5.7414008014495\n", + "39. 6.08667015429676\n", + "40. 5.99597999188928\n", + "41. 4.95233595863793\n", + "42. 5.33400057947459\n", + "43. 6.34372522427795\n", + "44. 3.57969216995728\n", + "45. 5.19489630733855\n", + "46. 5.16596662917303\n", + "47. 3.80315564407006\n", + "48. 5.25665625413873\n", + "49. 7.03133082490045\n", + "50. 2.86041554763847\n", + "51. 7.34128580284118\n", + "52. 7.77280047815042\n", + "53. 10.1014736862836\n", + "54. 4.71923779020923\n", + "55. 2.57882150267335\n", + "56. 9.71592937461396\n", + "57. 2.72821268176856\n", + "58. 3.92219598469121\n", + "59. 2.85040081890355\n", + "60. 7.6176944668688\n", + "61. 2.51934923713099\n", + "62. 2.3267044136411\n", + "63. 1.50296958187043\n", + "64. 3.31230950211675\n", + "65. 5.04191052672004\n", + "66. 5.26534094078411\n", + "67. 6.47366262429283\n", + "68. 3.13512415133631\n", + "69. 5.85430320324887\n", + "70. 2.57086195169796\n", + "71. 2.81462672021933\n", + "72. 3.94539420957925\n", + "73. 2.1599923125528\n", + "74. 5.78369242852044\n", + "75. 8.01566153973415\n", + "76. 4.1748778065736\n", + "77. 10.7723701650718\n", + "78. 4.14946972078289\n", + "79. 2.85827604300393\n", + "80. 10.3357955385195\n", + "81. 7.63219594682533\n", + "82. 4.13464669133251\n", + "83. 5.4175678104819\n", + "84. 6.2712912162927\n", + "85. 6.46007885086434\n", + "86. 6.24088441335777\n", + "87. 8.36839832412217\n", + "88. 5.12879069661752\n", + "89. 5.39692307949711\n", + "90. 6.03714014403036\n", + "91. 6.90111985216978\n", + "92. 9.50380375639404\n", + "93. 8.42702502453998\n", + "94. 8.67997427347452\n", + "95. 5.7464408562307\n", + "96. 7.30838312038969\n", + "97. 6.30551589726237\n", + "98. 9.73621684579676\n", + "99. 5.08860387030402\n", + "100. 2.51861631871738\n", + "\n", + "\n", + "\n", + "4. 1. 2.43612878135974\n", + "2. 6.07362959886118\n", + "3. 1.360046067605\n", + "4. 10.5796755283492\n", + "5. 1.13336020914273\n", + "6. 7.49796641541137\n", + "7. 6.50554352619108\n", + "8. 5.82433166090707\n", + "9. 1.48333268849059\n", + "10. 7.52664935421223\n", + "11. 4.9012774232613\n", + "12. 2.36067335716678\n", + "13. 10.2854312260501\n", + "14. 7.73933284923138\n", + "15. 4.63007049670338\n", + "16. 1.27589524912527\n", + "17. 4.52907001761736\n", + "18. 7.17290425109427\n", + "19. 2.01186467707911\n", + "20. 4.4646272585838\n", + "21. 4.012794783715\n", + "22. 7.08982320252272\n", + "23. 5.19155785519804\n", + "24. 0.958643752414536\n", + "25. 1.55964399612344\n", + "26. 5.45832786659785\n", + "27. 2.03101073233882\n", + "28. 2.38095888631034\n", + "29. 1.49675633738755\n", + "30. 3.00469817685559\n", + "31. 1.84100698258067\n", + "32. 1.81219228159821\n", + "33. 1.80775669609212\n", + "34. 1.45593865040725\n", + "35. 5.4077290498236\n", + "36. 1.70717518890618\n", + "37. 4.47779253473646\n", + "38. 2.61139918170258\n", + "39. 1.94394506102671\n", + "40. 3.89642470722186\n", + "41. 5.47800604699886\n", + "42. 4.17888800635575\n", + "43. 7.96991103833819\n", + "44. 5.65942731756889\n", + "45. 0.810619553909963\n", + "46. 1.13318367969802\n", + "47. 4.19578073201973\n", + "48. 3.33677926000001\n", + "49. 2.9158432443967\n", + "50. 2.26974132621337\n", + "51. 1.65781986699242\n", + "52. 8.79202776328884\n", + "53. 3.64214406180967\n", + "54. 1.27254344208986\n", + "55. 1.54939399436619\n", + "56. 1.60030945459872\n", + "57. 2.25372856616899\n", + "58. 3.70424681577375\n", + "59. 3.43634299403504\n", + "60. 5.51050100583159\n", + "61. 5.82338244654677\n", + "62. 5.24238481233736\n", + "63. 1.17418466645926\n", + "64. 1.37464702519044\n", + "65. 4.67296386714887\n", + "66. 2.32412144149001\n", + "67. 1.56201493078073\n", + "68. 1.85714285030308\n", + "69. 3.51636117639212\n", + "70. 3.98781110782867\n", + "71. 4.68183418250373\n", + "72. 1.4091694861422\n", + "73. 3.34162633011596\n", + "74. 3.99510973160405\n", + "75. 1.41409827598693\n", + "76. 4.28090288704906\n", + "77. 1.62440480572047\n", + "78. 4.24754056691945\n", + "79. 4.68866211298387\n", + "80. 1.58587023742159\n", + "81. 2.11376089634905\n", + "82. 1.64845097006007\n", + "83. 3.99489763151752\n", + "84. 7.07799666504646\n", + "85. 5.59088649454209\n", + "86. 5.72570205337152\n", + "87. 4.5005401826691\n", + "88. 8.51305196442407\n", + "89. 9.55165091993096\n", + "90. 2.48431731992381\n", + "91. 1.24419157065411\n", + "92. 1.9452474403323\n", + "93. 1.37965285150518\n", + "94. 1.42326241299738\n", + "95. 2.87557145800728\n", + "96. 0.616470891160539\n", + "97. 6.42980173460997\n", + "98. 6.89047069194964\n", + "99. 7.35667478681183\n", + "100. 1.41261514562113\n", + "\n", + "\n", + "\n", + "5. 1. 3.5426822459132\n", + "2. 2.66901878498618\n", + "3. 5.23240557245619\n", + "4. 4.39755065574929\n", + "5. 5.73962187688085\n", + "6. 2.00428304986165\n", + "7. 5.82280635954069\n", + "8. 1.09432877927376\n", + "9. 1.93325856037914\n", + "10. 3.44248441429404\n", + "11. 1.18300882143023\n", + "12. 7.6768742751777\n", + "13. 1.62946794844498\n", + "14. 5.02158938541742\n", + "15. 5.82440801994598\n", + "16. 6.53692066345059\n", + "17. 7.17828383511864\n", + "18. 9.20773752687486\n", + "19. 5.60360314254789\n", + "20. 4.46504792392164\n", + "21. 3.80156908156978\n", + "22. 3.11648618159439\n", + "23. 6.22012699214572\n", + "24. 6.27113579373544\n", + "25. 5.96018923647541\n", + "26. 3.38817325214417\n", + "27. 3.52329273612195\n", + "28. 4.07735555671697\n", + "29. 2.13131627855246\n", + "30. 1.52917135132675\n", + "31. 3.25165672451519\n", + "32. 1.94265982925619\n", + "33. 6.1929953040482\n", + "34. 0.844548821279425\n", + "35. 1.20073925019773\n", + "36. 1.49372518151107\n", + "37. 5.0379400432471\n", + "38. 7.57750851251191\n", + "39. 0.67051099106999\n", + "40. 4.67081358456883\n", + "41. 4.85164488450921\n", + "42. 7.07003862070598\n", + "43. 3.52913317285759\n", + "44. 4.83108660515176\n", + "45. 1.21569093691028\n", + "46. 2.94764969411288\n", + "47. 2.82275186802991\n", + "48. 4.78823943625352\n", + "49. 7.49319630839299\n", + "50. 4.07602027352523\n", + "51. 2.21782525493205\n", + "52. 1.45269120782839\n", + "53. 5.87984954331006\n", + "54. 1.57709729038529\n", + "55. 2.26789092388737\n", + "56. 3.63167644646296\n", + "57. 1.54570590918905\n", + "58. 0.984163141253271\n", + "59. 5.13143943052228\n", + "60. 3.69612931535903\n", + "61. 5.83160722560897\n", + "62. 5.86918118423875\n", + "63. 6.04748411265008\n", + "64. 0.844873241775342\n", + "65. 3.29243851102629\n", + "66. 6.02960500283208\n", + "67. 3.63567013402971\n", + "68. 4.69863662375148\n", + "69. 3.90950001537146\n", + "70. 2.79383606725065\n", + "71. 4.41620591938178\n", + "72. 6.61346220379397\n", + "73. 2.57718681918311\n", + "74. 2.03984111612769\n", + "75. 1.91855352227911\n", + "76. 2.28961647036368\n", + "77. 6.41112760121212\n", + "78. 5.63938119705647\n", + "79. 3.4166739484578\n", + "80. 5.95928555338082\n", + "81. 4.39891239325763\n", + "82. 2.18379049967898\n", + "83. 6.52117248890045\n", + "84. 7.58355707770084\n", + "85. 1.21877387686922\n", + "86. 5.56833119661363\n", + "87. 5.81361378350391\n", + "88. 7.21373005359256\n", + "89. 4.17913897598799\n", + "90. 8.56089647072974\n", + "91. 4.69931915331131\n", + "92. 2.65090267073696\n", + "93. 2.08335547908837\n", + "94. 1.12541400699435\n", + "95. 4.72527890414171\n", + "96. 8.59937503630618\n", + "97. 0.837724716152941\n", + "98. 5.45192920435794\n", + "99. 3.58969096093313\n", + "100. 4.43847810941759\n", + "\n", + "\n", + "\n", + "6. 1. 5.59238581395269\n", + "2. 4.95762344067704\n", + "3. 5.39651136274669\n", + "4. 6.54540077607841\n", + "5. 5.07964455660217\n", + "6. 2.7263494705165\n", + "7. 5.15471907946577\n", + "8. 4.68922360419521\n", + "9. 4.1871853439641\n", + "10. 4.42657733519014\n", + "11. 2.15996652626566\n", + "12. 3.01857744014504\n", + "13. 6.42549536326369\n", + "14. 3.34979136772516\n", + "15. 4.31930680735519\n", + "16. 0.87409434784394\n", + "17. 4.22498563548063\n", + "18. 1.58370405826312\n", + "19. 3.54189765208421\n", + "20. 6.34297383580229\n", + "21. 5.36186733318536\n", + "22. 3.53432392714112\n", + "23. 2.0547201506119\n", + "24. 5.02814446699778\n", + "25. 4.7263152527119\n", + "26. 3.5397209954975\n", + "27. 3.83978740987897\n", + "28. 1.4648701387182\n", + "29. 6.04373901933653\n", + "30. 6.35381075937553\n", + "31. 5.36821210656741\n", + "32. 3.59366806972101\n", + "33. 6.90361642361306\n", + "34. 7.39393378515997\n", + "35. 6.81570545588684\n", + "36. 2.56505150126935\n", + "37. 2.11461332391356\n", + "38. 4.21084882845642\n", + "39. 6.50928314009967\n", + "40. 2.44670935487316\n", + "41. 4.53332115745791\n", + "42. 4.74895099270896\n", + "43. 4.74718062755672\n", + "44. 8.43521920102059\n", + "45. 3.34702879688117\n", + "46. 2.52011020194734\n", + "47. 3.98379455821928\n", + "48. 6.44802388782584\n", + "49. 2.3498544896711\n", + "50. 5.31012588483278\n", + "51. 2.99129169936551\n", + "52. 3.57779056713163\n", + "53. 4.48015113375012\n", + "54. 2.53978118279924\n", + "55. 3.88642351173452\n", + "56. 5.36288010456439\n", + "57. 3.13704984215105\n", + "58. 6.87224326650738\n", + "59. 5.55869608543549\n", + "60. 6.72823807275273\n", + "61. 10.1356864600169\n", + "62. 5.40629102520077\n", + "63. 4.53693052383191\n", + "64. 4.96618944416311\n", + "65. 5.70118664448538\n", + "66. 8.17418543258219\n", + "67. 3.21201331403394\n", + "68. 2.98472526192013\n", + "69. 3.87408084225225\n", + "70. 3.97349655793122\n", + "71. 5.84659413866734\n", + "72. 7.55286653191689\n", + "73. 6.51560247896661\n", + "74. 5.53560806758574\n", + "75. 2.1566794237375\n", + "76. 3.6894452754455\n", + "77. 6.70350142309828\n", + "78. 3.51788802486793\n", + "79. 3.35491423040809\n", + "80. 6.09030144690522\n", + "81. 3.94332024685118\n", + "82. 7.28207112456985\n", + "83. 5.64041481073569\n", + "84. 2.19626537979476\n", + "85. 4.40471501831474\n", + "86. 4.41266944237801\n", + "87. 3.37047740147183\n", + "88. 2.09419984776335\n", + "89. 7.80780886533113\n", + "90. 2.80287518624844\n", + "91. 5.4937813792502\n", + "92. 8.80849050715007\n", + "93. 4.80156900146743\n", + "94. 1.79008649161711\n", + "95. 3.95233685265149\n", + "96. 3.56101558312501\n", + "97. 6.16614267163439\n", + "98. 7.55643935460142\n", + "99. 8.19991299266978\n", + "100. 4.27714889140496\n", + "\n", + "\n", + "\n", + "7. 1. 7.44095773386623\n", + "2. 4.02819923185013\n", + "3. 7.34272910404246\n", + "4. 2.86970713413269\n", + "5. 2.33014838207987\n", + "6. 4.33268091809416\n", + "7. 4.1779954511883\n", + "8. 2.95605241122738\n", + "9. 2.4528276717832\n", + "10. 2.3852943165309\n", + "11. 3.12958108969456\n", + "12. 5.07066127093225\n", + "13. 3.62128340378816\n", + "14. 5.70145976024633\n", + "15. 7.5584882013737\n", + "16. 7.81190828348399\n", + "17. 4.05951780786895\n", + "18. 2.67080500878852\n", + "19. 6.73325942745172\n", + "20. 3.41568756762366\n", + "21. 6.97828977087017\n", + "22. 5.8584942275631\n", + "23. 6.51952044133225\n", + "24. 1.24850073313581\n", + "25. 4.84962676284979\n", + "26. 3.70074903894309\n", + "27. 2.69690033130036\n", + "28. 3.17647637842022\n", + "29. 2.82047638833039\n", + "30. 2.62826241232593\n", + "31. 0.595717449084298\n", + "32. 1.56730440493694\n", + "33. 5.92555376402564\n", + "34. 6.96417441014413\n", + "35. 5.10234480611559\n", + "36. 4.45294329317767\n", + "37. 3.19585005671036\n", + "38. 1.52998737698732\n", + "39. 3.23146025572221\n", + "40. 2.02191171717837\n", + "41. 2.51429259940883\n", + "42. 0.293077821490998\n", + "43. 5.31398405090636\n", + "44. 2.93265891120343\n", + "45. 2.55143812304583\n", + "46. 4.38613432556583\n", + "47. 3.89397929919374\n", + "48. 1.30410215811107\n", + "49. 3.88057798654455\n", + "50. 5.11356743428252\n", + "51. 4.21902799189738\n", + "52. 3.95704359313062\n", + "53. 4.24008915854542\n", + "54. 5.41544096292959\n", + "55. 2.21389385835095\n", + "56. 4.18668691316771\n", + "57. 3.87631011681407\n", + "58. 1.25190194163622\n", + "59. 4.01569464659865\n", + "60. 5.38604671849805\n", + "61. 5.68779810673725\n", + "62. 3.90198344832747\n", + "63. 3.8348148287562\n", + "64. 5.63232511708494\n", + "65. 3.80333856378584\n", + "66. 2.3027591993173\n", + "67. 1.47107925631663\n", + "68. 4.78532996514581\n", + "69. 2.41667160099296\n", + "70. 2.33325678570947\n", + "71. 8.01123485409606\n", + "72. 4.53679676930688\n", + "73. 2.04975490209536\n", + "74. 4.23574633586396\n", + "75. 5.67935269484284\n", + "76. 5.19767889042802\n", + "77. 5.05040846008869\n", + "78. 5.45658334664841\n", + "79. 2.60001725941494\n", + "80. 2.72331220343734\n", + "81. 0.82149996279495\n", + "82. 5.80380309082271\n", + "83. 2.39072149995685\n", + "84. 3.93120794434713\n", + "85. 8.33634001160927\n", + "86. 3.61706871503452\n", + "87. 4.85922300413897\n", + "88. 2.61385149080421\n", + "89. 2.34677819451503\n", + "90. 3.84217623041349\n", + "91. 1.17511075640657\n", + "92. 7.61091109905541\n", + "93. 2.19852027330648\n", + "94. 7.12143249493088\n", + "95. 5.70297325141242\n", + "96. 6.12162703144177\n", + "97. 1.78468906905844\n", + "98. 2.76225874219131\n", + "99. 6.47820885688673\n", + "100. 3.46479865548123\n", + "\n", + "\n", + "\n", + "8. 1. 0.930738898258357\n", + "2. 3.2433975377791\n", + "3. 7.24220457697022\n", + "4. 1.84780805450963\n", + "5. 1.34447433486919\n", + "6. 0.885932680309866\n", + "7. 2.33635462393175\n", + "8. 6.94769843564486\n", + "9. 1.76607459778904\n", + "10. 1.19391230222872\n", + "11. 7.91310239086348\n", + "12. 2.4458116348135\n", + "13. 6.75077552455352\n", + "14. 5.15437765556729\n", + "15. 5.48479968260597\n", + "16. 3.05254270146948\n", + "17. 6.61978183253893\n", + "18. 1.55175901314618\n", + "19. 2.25623721560493\n", + "20. 1.66279169879684\n", + "21. 2.79735768590438\n", + "22. 3.28951441974101\n", + "23. 0.501589024566103\n", + "24. 4.21274765754139\n", + "25. 6.53074348626762\n", + "26. 0.828237338159343\n", + "27. 1.47434540507334\n", + "28. 4.06846053538211\n", + "29. 3.36035446032604\n", + "30. 4.9239021780587\n", + "31. 2.18211559516982\n", + "32. 5.3677948826089\n", + "33. 5.02734425092085\n", + "34. 3.47618410688182\n", + "35. 2.9143012026582\n", + "36. 0.994438106922462\n", + "37. 0.476427456708431\n", + "38. 5.69426418075064\n", + "39. 3.97651223343692\n", + "40. 5.685230737857\n", + "41. 3.19623734470051\n", + "42. 2.88713785225644\n", + "43. 4.08150038870887\n", + "44. 3.77034490811139\n", + "45. 1.7216668550313\n", + "46. 3.22923838411976\n", + "47. 6.74786346169544\n", + "48. 6.58915563082056\n", + "49. 1.6557581625161\n", + "50. 1.18903032903317\n", + "51. 4.55265237166142\n", + "52. 1.7568708005666\n", + "53. 4.79231520266477\n", + "54. 2.26508172931761\n", + "55. 3.18869158277387\n", + "56. 4.08592096266244\n", + "57. 3.45765990418934\n", + "58. 1.45609584110016\n", + "59. 5.07033857247559\n", + "60. 3.09776445104344\n", + "61. 1.65924580799284\n", + "62. 3.55962722796987\n", + "63. 1.58986345209628\n", + "64. 6.2016799402712\n", + "65. 5.71236035255276\n", + "66. 6.63899649997157\n", + "67. 5.72859146781595\n", + "68. 3.26532793407356\n", + "69. 2.86991166964464\n", + "70. 4.33340938630841\n", + "71. 1.09361246385562\n", + "72. 4.27107334602945\n", + "73. 7.18627736780844\n", + "74. 6.7712720109207\n", + "75. 9.24238034852889\n", + "76. 6.31908440462965\n", + "77. 4.58089581874688\n", + "78. 5.45237798906043\n", + "79. 2.12010254201737\n", + "80. 6.30424627467917\n", + "81. 1.23834435950059\n", + "82. 2.37761663135077\n", + "83. 4.93492657576085\n", + "84. 6.64792206957082\n", + "85. 5.81977566940399\n", + "86. 5.12951922471737\n", + "87. 3.04123454668069\n", + "88. 2.12952708129968\n", + "89. 3.98455373566038\n", + "90. 0.93989950723951\n", + "91. 6.78273442908274\n", + "92. 6.19059945003715\n", + "93. 7.1577855252166\n", + "94. 9.51966942029304\n", + "95. 4.3784458629495\n", + "96. 6.12946343504772\n", + "97. 4.53774263700901\n", + "98. 5.65705143707726\n", + "99. 0.524605374868438\n", + "100. 6.67052098098331\n", + "\n", + "\n", + "\n", + "9. 1. 1.36935630048601\n", + "2. 5.81257000279093\n", + "3. 1.55902097700572\n", + "4. 2.25518281813466\n", + "5. 1.92716161715237\n", + "6. 0.694120430453014\n", + "7. 2.52224929669016\n", + "8. 2.47545717254836\n", + "9. 2.41679012777736\n", + "10. 1.99242860636709\n", + "11. 1.14378475132167\n", + "12. 1.69568704421104\n", + "13. 1.18783482154324\n", + "14. 1.33387572314833\n", + "15. 5.38778704498177\n", + "16. 1.02746123437574\n", + "17. 0.358449420927588\n", + "18. 1.15953267879204\n", + "19. 1.15973635767962\n", + "20. 5.18330559542177\n", + "21. 1.99235449057557\n", + "22. 6.3891175999386\n", + "23. 2.09022301066575\n", + "24. 1.09835791267384\n", + "25. 3.27869602837533\n", + "26. 5.97620347249841\n", + "27. 1.75695204852893\n", + "28. 1.51953993367251\n", + "29. 1.11416073027477\n", + "30. 4.61938395214211\n", + "31. 5.03774678595264\n", + "32. 6.42872290839714\n", + "33. 1.42766804404933\n", + "34. 1.27487044294354\n", + "35. 1.69529049126223\n", + "36. 4.71985713606437\n", + "37. 2.25699837705515\n", + "38. 1.40504452835886\n", + "39. 2.3189129298383\n", + "40. 1.73291461990831\n", + "41. 3.93949971259878\n", + "42. 0.873825874618789\n", + "43. 2.94323303578502\n", + "44. 1.10092379087267\n", + "45. 1.91808480646201\n", + "46. 1.62075880898275\n", + "47. 1.61621985425074\n", + "48. 5.81944153084916\n", + "49. 1.03192637979294\n", + "50. 1.62763851378949\n", + "51. 2.30576851811106\n", + "52. 1.47287780689834\n", + "53. 1.65810026364624\n", + "54. 2.49120351341839\n", + "55. 2.01153034557113\n", + "56. 2.36932772619367\n", + "57. 1.08182945356428\n", + "58. 0.564675218933219\n", + "59. 1.77732159329395\n", + "60. 6.9467108000452\n", + "61. 1.39460418512104\n", + "62. 2.74055914973983\n", + "63. 2.20221588284532\n", + "64. 1.20056774938037\n", + "65. 2.11609782203989\n", + "66. 4.43171944988742\n", + "67. 0.910331197946161\n", + "68. 0.80592506238396\n", + "69. 1.8630430728521\n", + "70. 1.48185646694941\n", + "71. 2.06350036557551\n", + "72. 4.33915104755605\n", + "73. 2.10463703418971\n", + "74. 2.69281432215838\n", + "75. 2.08005763927583\n", + "76. 2.23837623579525\n", + "77. 2.43987684032253\n", + "78. 1.94932486783576\n", + "79. 1.74501752671726\n", + "80. 1.63634667435009\n", + "81. 2.07306115647482\n", + "82. 2.40219746979433\n", + "83. 4.1408157751979\n", + "84. 1.29392398915225\n", + "85. 1.31310577249486\n", + "86. 0.684451318459457\n", + "87. 3.92926816331437\n", + "88. 1.68273644902843\n", + "89. 1.23572284700703\n", + "90. 2.79510998871019\n", + "91. 1.09707708454657\n", + "92. 4.5841748284828\n", + "93. 1.72564230061012\n", + "94. 1.43166263898103\n", + "95. 2.41410062886086\n", + "96. 1.20022975527942\n", + "97. 1.69203589067324\n", + "98. 0.906649094764396\n", + "99. 1.75122642582371\n", + "100. 1.10848271205845\n", + "\n", + "\n", + "\n", + "10. 1. 4.31269698763339\n", + "2. 5.79082639128553\n", + "3. 3.42865994439721\n", + "4. 3.31652612195601\n", + "5. 5.65138418761925\n", + "6. 3.09480287851807\n", + "7. 3.12558418333443\n", + "8. 4.26324599927777\n", + "9. 1.66009080717875\n", + "10. 6.58393215586555\n", + "11. 4.90771655243069\n", + "12. 5.55793090500157\n", + "13. 4.41085318035851\n", + "14. 1.77457223335479\n", + "15. 4.76483288869677\n", + "16. 9.63675631211084\n", + "17. 5.07485518285122\n", + "18. 3.33393765039675\n", + "19. 6.78546087498777\n", + "20. 2.61075263587591\n", + "21. 6.24788186854681\n", + "22. 6.45824287958662\n", + "23. 3.70716246583566\n", + "24. 1.1457054061967\n", + "25. 3.28734897666298\n", + "26. 5.88165907153982\n", + "27. 2.83332344924318\n", + "28. 4.66894698595255\n", + "29. 10.3793623843842\n", + "30. 7.17755690685762\n", + "31. 5.33207312722953\n", + "32. 6.14866906965619\n", + "33. 6.15654008604517\n", + "34. 2.64801007907164\n", + "35. 4.28148218151422\n", + "36. 3.30934345312048\n", + "37. 2.42828003815616\n", + "38. 2.70527122490949\n", + "39. 8.11335824726509\n", + "40. 4.07816916145709\n", + "41. 3.9582650004367\n", + "42. 7.29256265281373\n", + "43. 6.0126158673513\n", + "44. 5.34756819745144\n", + "45. 7.62309381610875\n", + "46. 1.76991378714366\n", + "47. 6.60962486281852\n", + "48. 5.65299441576265\n", + "49. 2.53054602981053\n", + "50. 7.9586679360199\n", + "51. 5.02307922546817\n", + "52. 5.7702803089665\n", + "53. 7.58537475156506\n", + "54. 7.83802909142735\n", + "55. 3.22459748297287\n", + "56. 1.32076988950308\n", + "57. 3.97756631846229\n", + "58. 5.47219153602593\n", + "59. 4.10656324119299\n", + "60. 3.40632836999244\n", + "61. 4.16539625653642\n", + "62. 1.56006510465245\n", + "63. 6.93068726746959\n", + "64. 6.75954006967237\n", + "65. 1.53052890491136\n", + "66. 8.37096246122549\n", + "67. 4.66691765753917\n", + "68. 3.99969383389674\n", + "69. 6.97103258096688\n", + "70. 5.12860522751825\n", + "71. 4.55756592656916\n", + "72. 4.05020861331607\n", + "73. 1.60311378389376\n", + "74. 5.53331939696807\n", + "75. 8.1774950379169\n", + "76. 1.21495427657822\n", + "77. 4.66229584587891\n", + "78. 6.24118087435098\n", + "79. 0.286300126046664\n", + "80. 7.44269727702937\n", + "81. 3.90559045844877\n", + "82. 3.95315581225812\n", + "83. 6.20468450006269\n", + "84. 7.43329140900877\n", + "85. 1.18091491165072\n", + "86. 2.5079967149884\n", + "87. 7.48177923509528\n", + "88. 2.82807192577053\n", + "89. 6.4684713293284\n", + "90. 6.46046574876049\n", + "91. 5.7056400405327\n", + "92. 3.59867490633338\n", + "93. 4.25698581202871\n", + "94. 5.28235468732291\n", + "95. 5.91109926621384\n", + "96. 2.47105611922735\n", + "97. 2.57025690473087\n", + "98. 6.84121549056777\n", + "99. 3.49162710316912\n", + "100. 5.00375452471007\n", + "\n", + "\n", + "\n", + "11. 1. 5.09975424925507\n", + "2. 1.49574712764836\n", + "3. 1.87892233974956\n", + "4. 10.091454961653\n", + "5. 2.8500382898867\n", + "6. 5.06633749135086\n", + "7. 1.75961564241278\n", + "8. 7.78959780516868\n", + "9. 10.2443631225124\n", + "10. 8.10300985150828\n", + "11. 5.47399966159981\n", + "12. 5.16431690315203\n", + "13. 2.54576403623693\n", + "14. 2.58570953992799\n", + "15. 1.73697801748584\n", + "16. 1.49844875398732\n", + "17. 2.09716262581672\n", + "18. 7.20562392539939\n", + "19. 5.2704613010153\n", + "20. 3.89764222163771\n", + "21. 1.73904923200128\n", + "22. 3.15607218232549\n", + "23. 5.30067513698677\n", + "24. 0.823656482979951\n", + "25. 15.7366806129608\n", + "26. 8.64507158944865\n", + "27. 9.25836488809376\n", + "28. 5.63229756516471\n", + "29. 1.1091613536838\n", + "30. 1.38229514357889\n", + "31. 8.79230170208104\n", + "32. 2.05597396419445\n", + "33. 3.67096003692172\n", + "34. 1.14033343427247\n", + "35. 4.49032998690687\n", + "36. 2.06920928587788\n", + "37. 4.30593201396935\n", + "38. 6.67685047249191\n", + "39. 5.2222935287031\n", + "40. 7.60888326890402\n", + "41. 5.48668931815127\n", + "42. 5.27995692865623\n", + "43. 2.32406986045519\n", + "44. 5.15450502925228\n", + "45. 1.56943060171146\n", + "46. 8.27336296226954\n", + "47. 9.54920277197644\n", + "48. 2.86503610452292\n", + "49. 1.67704677865279\n", + "50. 3.49362343667635\n", + "51. 7.09720076204039\n", + "52. 5.3928192387313\n", + "53. 5.24441967255039\n", + "54. 5.30391985323496\n", + "55. 6.85471095072875\n", + "56. 7.53706428645805\n", + "57. 5.73652658277665\n", + "58. 8.2830263256545\n", + "59. 3.58156601310415\n", + "60. 5.4314200087942\n", + "61. 2.9073446137719\n", + "62. 1.37065789865226\n", + "63. 7.51489233486372\n", + "64. 5.0634011965281\n", + "65. 4.88468796753487\n", + "66. 1.57880174990432\n", + "67. 1.83295745965782\n", + "68. 8.31145807648962\n", + "69. 1.02990511326812\n", + "70. 3.8855551381064\n", + "71. 6.55544437931693\n", + "72. 6.37486493894137\n", + "73. 4.12197909404295\n", + "74. 3.93543610981555\n", + "75. 7.90356672404216\n", + "76. 2.54578048248853\n", + "77. 3.7911019654531\n", + "78. 2.12319747503979\n", + "79. 5.47230971976809\n", + "80. 1.29055275035669\n", + "81. 6.46953365375178\n", + "82. 1.4539540468129\n", + "83. 1.11856665789337\n", + "84. 1.97418862889619\n", + "85. 8.05267340013559\n", + "86. 1.84155394416783\n", + "87. 4.7785476258785\n", + "88. 6.35794097713486\n", + "89. 8.86253843016212\n", + "90. 4.20498646039937\n", + "91. 1.29821585167007\n", + "92. 7.54934825993591\n", + "93. 2.81617876018861\n", + "94. 3.75543066431076\n", + "95. 10.9712156352117\n", + "96. 4.55834838944757\n", + "97. 5.66231695898668\n", + "98. 2.52903940804828\n", + "99. 6.36379317312452\n", + "100. 5.91529882186132\n", + "\n", + "\n", + "\n", + "12. 1. 4.05246330403149\n", + "2. 4.03297092766226\n", + "3. 2.24431749179498\n", + "4. 2.08831705636754\n", + "5. 5.38010048328772\n", + "6. 4.44697427947945\n", + "7. 2.81926432793074\n", + "8. 2.32217728897418\n", + "9. 2.9714495988627\n", + "10. 3.64274253669898\n", + "11. 3.12302292970696\n", + "12. 5.08304543120865\n", + "13. 5.82121107415655\n", + "14. 1.27122203666334\n", + "15. 2.55018864595367\n", + "16. 3.71177344008819\n", + "17. 3.45015198164821\n", + "18. 1.55870559837542\n", + "19. 2.68046338974918\n", + "20. 4.15263515865713\n", + "21. 2.60202364911486\n", + "22. 3.84657933660824\n", + "23. 1.47353700019142\n", + "24. 1.36308090359988\n", + "25. 1.90197355289211\n", + "26. 2.28405953424035\n", + "27. 3.13529649413707\n", + "28. 4.50786687903087\n", + "29. 4.93095189127432\n", + "30. 1.06663421849821\n", + "31. 5.9354645818607\n", + "32. 3.68549146415429\n", + "33. 1.48052905224188\n", + "34. 2.96793512401299\n", + "35. 1.53143017927314\n", + "36. 2.70255990549846\n", + "37. 4.70192306921621\n", + "38. 7.6036555288535\n", + "39. 2.91084373222738\n", + "40. 4.89692617451716\n", + "41. 2.10519364329199\n", + "42. 2.28424076158317\n", + "43. 3.03147052872805\n", + "44. 4.23065839744792\n", + "45. 2.01065941143568\n", + "46. 2.1743248982635\n", + "47. 2.28444951391207\n", + "48. 4.99286408029358\n", + "49. 1.69652670587319\n", + "50. 5.75318104926906\n", + "51. 6.34313791482137\n", + "52. 1.11216424422099\n", + "53. 4.0277455296253\n", + "54. 3.90450196638847\n", + "55. 1.05597662234191\n", + "56. 0.778008853319303\n", + "57. 2.1746315947007\n", + "58. 0.933403621505054\n", + "59. 3.03626024900723\n", + "60. 3.94086352639448\n", + "61. 2.62334435285834\n", + "62. 1.79350764776533\n", + "63. 5.99737250077394\n", + "64. 1.08645096395408\n", + "65. 0.888446022885114\n", + "66. 2.49521051085173\n", + "67. 1.56215836356751\n", + "68. 1.04378951433977\n", + "69. 1.05342554789381\n", + "70. 1.82904059846848\n", + "71. 2.90278859870971\n", + "72. 3.18515469906608\n", + "73. 2.33516789490715\n", + "74. 2.74430610320835\n", + "75. 1.40354976501997\n", + "76. 3.20182056883295\n", + "77. 3.03717229380315\n", + "78. 0.538079697139134\n", + "79. 8.42003162410223\n", + "80. 0.74725247477694\n", + "81. 4.49105513632599\n", + "82. 4.02912000762536\n", + "83. 3.18059404646333\n", + "84. 2.96066991655154\n", + "85. 4.26590481370169\n", + "86. 1.41793063499004\n", + "87. 3.29653151942353\n", + "88. 2.05393043844437\n", + "89. 6.38945640282467\n", + "90. 2.49631332954846\n", + "91. 4.72350400085341\n", + "92. 2.41204759265629\n", + "93. 4.58572071150402\n", + "94. 2.98998394221977\n", + "95. 2.67342362642622\n", + "96. 3.00916301454469\n", + "97. 2.84068856184091\n", + "98. 3.80225815271691\n", + "99. 1.16673580362822\n", + "100. 4.48969103408334\n", + "\n", + "\n", + "\n", + "13. 1. 2.48515189953311\n", + "2. 5.99139538193423\n", + "3. 3.37351315019302\n", + "4. 6.79486137548439\n", + "5. 3.12613701245819\n", + "6. 1.44491891661342\n", + "7. 4.97617748793624\n", + "8. 3.95659478265292\n", + "9. 5.57364803875334\n", + "10. 1.83645669621122\n", + "11. 3.57479959464957\n", + "12. 1.69315319296127\n", + "13. 6.10413250374863\n", + "14. 4.78027056924771\n", + "15. 3.85330156945057\n", + "16. 3.084664733527\n", + "17. 2.44590189736674\n", + "18. 3.08129133767895\n", + "19. 1.10134442996188\n", + "20. 2.71490378593381\n", + "21. 2.93355153938165\n", + "22. 4.30169955004761\n", + "23. 1.59780610051836\n", + "24. 1.85967160475354\n", + "25. 1.93813521086761\n", + "26. 2.6386167020568\n", + "27. 3.00890529934959\n", + "28. 0.657749005779735\n", + "29. 4.10205618556404\n", + "30. 2.38472002237679\n", + "31. 5.38825951428986\n", + "32. 7.03190209963221\n", + "33. 3.40212227912265\n", + "34. 1.34095481003312\n", + "35. 1.4202580109064\n", + "36. 5.1716548487795\n", + "37. 2.4909887358441\n", + "38. 3.21830054893864\n", + "39. 4.71395489400372\n", + "40. 2.32532863223357\n", + "41. 4.40360060763768\n", + "42. 4.51163245298139\n", + "43. 2.59987280344013\n", + "44. 5.29178880300392\n", + "45. 4.47504528502534\n", + "46. 4.48520402227517\n", + "47. 4.46157578413749\n", + "48. 2.81329606815649\n", + "49. 2.99338110272339\n", + "50. 5.21332813971309\n", + "51. 2.80619491941991\n", + "52. 3.53948798452146\n", + "53. 7.19561642632639\n", + "54. 6.6292927097066\n", + "55. 7.72996729584166\n", + "56. 4.5928651961417\n", + "57. 5.56559890498\n", + "58. 3.8048180725192\n", + "59. 3.58547298875252\n", + "60. 4.2638720122709\n", + "61. 4.30478415663178\n", + "62. 1.55017507109312\n", + "63. 2.26972395013939\n", + "64. 8.91500167264476\n", + "65. 2.01857245559629\n", + "66. 6.53236353693349\n", + "67. 1.70879838182768\n", + "68. 5.7487070881795\n", + "69. 5.32470556155574\n", + "70. 0.787946588387852\n", + "71. 2.94747096967419\n", + "72. 7.06277065648334\n", + "73. 3.76732251750489\n", + "74. 4.42103366814188\n", + "75. 1.91046575560995\n", + "76. 2.8919814826759\n", + "77. 2.19497647110102\n", + "78. 4.3175556302671\n", + "79. 4.19825064900512\n", + "80. 4.33526805790221\n", + "81. 1.7746583722955\n", + "82. 4.14556746610466\n", + "83. 5.85177765844459\n", + "84. 2.43851459447789\n", + "85. 5.41561814035681\n", + "86. 2.62605944953861\n", + "87. 4.32086222431042\n", + "88. 8.42510490508769\n", + "89. 9.14899293643907\n", + "90. 3.35213075420893\n", + "91. 1.64979703953735\n", + "92. 1.53464728403024\n", + "93. 2.29559934894587\n", + "94. 4.72380264453379\n", + "95. 3.17320322541758\n", + "96. 4.72719319812799\n", + "97. 2.82573645033206\n", + "98. 6.36579119293265\n", + "99. 6.74502935166133\n", + "100. 4.92895667360685\n", + "\n", + "\n", + "\n", + "14. 1. 1.92725834411783\n", + "2. 2.87643502809008\n", + "3. 7.64294975820086\n", + "4. 6.16069303383457\n", + "5. 2.12364052395932\n", + "6. 4.34422598734419\n", + "7. 6.15581534862473\n", + "8. 4.86287928528865\n", + "9. 2.50105663937409\n", + "10. 3.04272378554169\n", + "11. 3.30219354463175\n", + "12. 4.08078527393722\n", + "13. 7.77164548842001\n", + "14. 8.46462547568124\n", + "15. 3.21600765815296\n", + "16. 0.666513998589276\n", + "17. 1.77892902331738\n", + "18. 4.55934603834179\n", + "19. 4.25270257601003\n", + "20. 9.34515700703\n", + "21. 7.78760957695429\n", + "22. 4.12788718188887\n", + "23. 6.64133883505602\n", + "24. 3.25235743162375\n", + "25. 5.0587531256898\n", + "26. 6.77664690629458\n", + "27. 7.04336204488229\n", + "28. 4.04650163830283\n", + "29. 5.1163480063375\n", + "30. 1.71449902704431\n", + "31. 4.78111186404401\n", + "32. 5.00976459169206\n", + "33. 3.84819218041623\n", + "34. 7.32887457427015\n", + "35. 8.37866097158079\n", + "36. 3.29469277058629\n", + "37. 6.21918195848965\n", + "38. 7.26701146927813\n", + "39. 7.10340430896967\n", + "40. 2.48337340958044\n", + "41. 6.77208484074342\n", + "42. 5.705467958147\n", + "43. 3.50125751507509\n", + "44. 3.86133900106745\n", + "45. 10.2478246770002\n", + "46. 11.367311900222\n", + "47. 7.0640667106909\n", + "48. 0.673360717966052\n", + "49. 1.38075206618465\n", + "50. 6.70111737583882\n", + "51. 5.83831669621403\n", + "52. 4.84729859514206\n", + "53. 1.39479604287488\n", + "54. 1.98278051793318\n", + "55. 3.51784677228739\n", + "56. 5.59674933936434\n", + "57. 3.71317456743961\n", + "58. 5.32895501577764\n", + "59. 3.26233089053298\n", + "60. 5.75992096820064\n", + "61. 8.74198193950803\n", + "62. 7.92676547028981\n", + "63. 8.40620711177818\n", + "64. 4.13716442288278\n", + "65. 5.37645780940296\n", + "66. 5.35901393642411\n", + "67. 1.3354864104486\n", + "68. 5.46146409914999\n", + "69. 10.5662442022354\n", + "70. 3.35640858474163\n", + "71. 9.36333120316293\n", + "72. 5.8386444998065\n", + "73. 5.55528373137443\n", + "74. 4.97273269065951\n", + "75. 5.83213626813876\n", + "76. 2.19497875560474\n", + "77. 7.584155558333\n", + "78. 1.41238239697348\n", + "79. 4.14562861209882\n", + "80. 11.3876093421876\n", + "81. 2.4629429837423\n", + "82. 4.71476323581848\n", + "83. 6.59299600403451\n", + "84. 5.05152318108181\n", + "85. 5.28706397542845\n", + "86. 4.2940689502816\n", + "87. 1.84393009257136\n", + "88. 4.17729806751987\n", + "89. 6.01140511465095\n", + "90. 6.09051091815129\n", + "91. 7.7479418811237\n", + "92. 6.57700134316384\n", + "93. 1.17080217197535\n", + "94. 2.047971793642\n", + "95. 6.1717249392515\n", + "96. 5.53704921886063\n", + "97. 6.65642652905669\n", + "98. 6.95087831285004\n", + "99. 1.11794529193871\n", + "100. 4.10398806649207\n", + "\n", + "\n", + "\n", + "15. 1. 1.80966620532338\n", + "2. 4.55412249423692\n", + "3. 4.62427438665666\n", + "4. 9.75134562472507\n", + "5. 5.11233577130131\n", + "6. 4.17425760263197\n", + "7. 6.09820444692666\n", + "8. 1.46190250693537\n", + "9. 2.89612723384876\n", + "10. 1.33175990728101\n", + "11. 1.22117272369732\n", + "12. 6.63367969470309\n", + "13. 3.03070710088732\n", + "14. 4.91051079025195\n", + "15. 7.00722949648236\n", + "16. 5.90166370818103\n", + "17. 5.80694534152447\n", + "18. 2.88358710264452\n", + "19. 1.88500461161131\n", + "20. 8.29484613853879\n", + "21. 4.46278537597847\n", + "22. 6.46888926316171\n", + "23. 3.69326862664455\n", + "24. 4.82409317716957\n", + "25. 1.82281601629436\n", + "26. 4.58700347024787\n", + "27. 4.24411073062714\n", + "28. 1.60627973936427\n", + "29. 6.3654399808306\n", + "30. 3.15740225403062\n", + "31. 5.67233702721674\n", + "32. 6.02533768474426\n", + "33. 1.14284572683039\n", + "34. 2.40045736316123\n", + "35. 2.78666620359827\n", + "36. 1.79486035796011\n", + "37. 1.72724711905146\n", + "38. 5.384955820474\n", + "39. 2.29348561977613\n", + "40. 2.65445389138711\n", + "41. 2.21520427632827\n", + "42. 8.04794122816401\n", + "43. 4.59007920144457\n", + "44. 4.60455842838113\n", + "45. 6.89954412355035\n", + "46. 2.54445358644709\n", + "47. 1.46027389704213\n", + "48. 7.60655035488009\n", + "49. 2.1019007166878\n", + "50. 2.96965793817891\n", + "51. 1.47958277882948\n", + "52. 3.0780710820045\n", + "53. 5.25969131272644\n", + "54. 2.5066747404463\n", + "55. 3.57095796287739\n", + "56. 4.58199113502994\n", + "57. 3.95770431271487\n", + "58. 4.26299031572112\n", + "59. 2.72178751916349\n", + "60. 1.81532485373701\n", + "61. 6.64403340891644\n", + "62. 7.55237743344036\n", + "63. 5.50636488021504\n", + "64. 3.11686235779198\n", + "65. 1.90101183823844\n", + "66. 4.71433470061219\n", + "67. 4.2530470965531\n", + "68. 6.66594042099871\n", + "69. 4.52586992465551\n", + "70. 4.19928402994007\n", + "71. 5.74787307203629\n", + "72. 5.59346741080827\n", + "73. 3.93450127977752\n", + "74. 3.81992673864012\n", + "75. 2.41173889661585\n", + "76. 2.79991941354773\n", + "77. 10.3395472386813\n", + "78. 3.06683285705497\n", + "79. 0.929390938693215\n", + "80. 6.0766931325921\n", + "81. 4.32605517706642\n", + "82. 0.822999144347352\n", + "83. 3.33025517123111\n", + "84. 1.9988412521113\n", + "85. 1.85589687011902\n", + "86. 3.37263578213309\n", + "87. 7.10654568968826\n", + "88. 7.95573618562226\n", + "89. 1.49651088991649\n", + "90. 2.9644489278073\n", + "91. 4.39658859630257\n", + "92. 7.88682770894999\n", + "93. 2.18669710609916\n", + "94. 3.45530270860703\n", + "95. 4.05755426882184\n", + "96. 6.01266749174333\n", + "97. 3.6811871052982\n", + "98. 3.87503697857139\n", + "99. 4.51042267642344\n", + "100. 6.9577262249241\n", + "\n", + "\n", + "\n", + "16. 1. 7.68502619624037\n", + "2. 7.38892488509012\n", + "3. 6.51962293404447\n", + "4. 2.27266409545879\n", + "5. 1.78039967101122\n", + "6. 3.18103892955873\n", + "7. 4.68455482276059\n", + "8. 9.05217413655322\n", + "9. 3.55952931360613\n", + "10. 2.27811593104487\n", + "11. 8.5385263116695\n", + "12. 5.50473582372903\n", + "13. 5.57211630954908\n", + "14. 7.28774082697241\n", + "15. 11.8475902035153\n", + "16. 1.77341204355824\n", + "17. 3.77181910754158\n", + "18. 4.04975164765224\n", + "19. 1.75255166977751\n", + "20. 10.1987545118506\n", + "21. 3.51801098554829\n", + "22. 2.76946857648352\n", + "23. 2.86892622689916\n", + "24. 1.47524760652451\n", + "25. 5.48321414460735\n", + "26. 7.73413528602975\n", + "27. 1.47808330383399\n", + "28. 4.93497636772199\n", + "29. 6.74489346328271\n", + "30. 5.47736463636086\n", + "31. 2.54878554860922\n", + "32. 2.18029694948493\n", + "33. 1.21048861577678\n", + "34. 7.61843710142949\n", + "35. 1.33551106052953\n", + "36. 2.69361373208291\n", + "37. 6.14043673192313\n", + "38. 6.10606522292968\n", + "39. 2.68979524868966\n", + "40. 5.79352836781248\n", + "41. 1.62868089080532\n", + "42. 5.26297892339824\n", + "43. 5.33939590698798\n", + "44. 4.52031037521697\n", + "45. 6.33682815991985\n", + "46. 3.50366631185492\n", + "47. 8.10038308900729\n", + "48. 2.87551300399898\n", + "49. 5.69969887181928\n", + "50. 5.27969998881307\n", + "51. 7.40986148613469\n", + "52. 2.3472415839963\n", + "53. 4.07790389885642\n", + "54. 1.00801747622158\n", + "55. 6.58534237039862\n", + "56. 6.05441968082858\n", + "57. 5.81569060671693\n", + "58. 4.27288382659272\n", + "59. 9.5740866382608\n", + "60. 2.21623772625793\n", + "61. 4.23342280781576\n", + "62. 6.77463373802035\n", + "63. 8.46494328375309\n", + "64. 5.17921415057964\n", + "65. 3.56744653459567\n", + "66. 3.79194334898153\n", + "67. 7.01918824284658\n", + "68. 3.47547196261132\n", + "69. 6.25810792082163\n", + "70. 6.51954032747328\n", + "71. 2.71273052662965\n", + "72. 3.12117314229818\n", + "73. 4.95039652706711\n", + "74. 6.78641616327626\n", + "75. 4.06357179600091\n", + "76. 7.85582136957039\n", + "77. 5.30756729834696\n", + "78. 3.99207907986936\n", + "79. 4.13493361370652\n", + "80. 3.86500438385164\n", + "81. 8.25951121854509\n", + "82. 2.66393618216521\n", + "83. 8.53071091714052\n", + "84. 3.59619271217773\n", + "85. 6.97097214806128\n", + "86. 4.80280872249575\n", + "87. 4.6416047105406\n", + "88. 2.31509375710328\n", + "89. 4.72122887356897\n", + "90. 5.98824636644895\n", + "91. 5.30031462531575\n", + "92. 8.01371299950168\n", + "93. 4.65736517261381\n", + "94. 5.87994320724179\n", + "95. 2.32607536161097\n", + "96. 5.30623499952757\n", + "97. 7.88869521061973\n", + "98. 5.78015661328326\n", + "99. 5.91892027361247\n", + "100. 4.40732356974447\n", + "\n", + "\n", + "\n", + "17. 1. 2.69635869400936\n", + "2. 6.27739896453045\n", + "3. 1.7519920042218\n", + "4. 4.43671307300922\n", + "5. 5.22536723607585\n", + "6. 2.83436632444749\n", + "7. 6.36860935279807\n", + "8. 7.7742638001439\n", + "9. 5.28396996558198\n", + "10. 4.75502097331659\n", + "11. 5.95276349586442\n", + "12. 5.03972966408702\n", + "13. 3.38526795071919\n", + "14. 1.43454612636039\n", + "15. 3.59810052788624\n", + "16. 2.64833156081066\n", + "17. 5.71216017609035\n", + "18. 1.06743338790104\n", + "19. 1.90910877951182\n", + "20. 4.3277389239957\n", + "21. 2.75763854179504\n", + "22. 6.69097156222081\n", + "23. 5.82303024598124\n", + "24. 3.52368939001358\n", + "25. 1.23826945939225\n", + "26. 4.1903656245052\n", + "27. 2.48528579966468\n", + "28. 1.49085930907176\n", + "29. 1.40294851427929\n", + "30. 4.78145725265504\n", + "31. 4.94623902121382\n", + "32. 3.62095419230929\n", + "33. 6.55380769248459\n", + "34. 7.57335518641717\n", + "35. 1.82368677496894\n", + "36. 3.32404662419719\n", + "37. 7.16005202342843\n", + "38. 2.66236853085186\n", + "39. 4.42891875500276\n", + "40. 0.608549176775959\n", + "41. 1.61030570523355\n", + "42. 2.15492747713597\n", + "43. 1.19389564048685\n", + "44. 4.95579108762996\n", + "45. 2.38996547757235\n", + "46. 4.33770660062397\n", + "47. 2.72472158766918\n", + "48. 3.94272427196466\n", + "49. 4.7142248622478\n", + "50. 6.05723864262292\n", + "51. 9.30961974426076\n", + "52. 3.50136918822657\n", + "53. 2.39379023975232\n", + "54. 2.53837213213013\n", + "55. 1.13480685707817\n", + "56. 1.94545797486096\n", + "57. 5.51409719453037\n", + "58. 2.59615535245736\n", + "59. 5.19672423332519\n", + "60. 6.57912822264172\n", + "61. 10.6877469647974\n", + "62. 2.31981558442797\n", + "63. 1.31724886145989\n", + "64. 5.60417375119859\n", + "65. 3.41832440520882\n", + "66. 1.75669744133674\n", + "67. 3.07517507217428\n", + "68. 9.74685074751786\n", + "69. 1.95164766334682\n", + "70. 6.26897802747976\n", + "71. 4.04549355015697\n", + "72. 2.89404408222233\n", + "73. 4.56366580803951\n", + "74. 2.03264029360789\n", + "75. 6.07775291553421\n", + "76. 6.33286410793588\n", + "77. 5.82197084653985\n", + "78. 2.65117855753557\n", + "79. 4.26494190763739\n", + "80. 2.02525147700902\n", + "81. 2.87044111565899\n", + "82. 3.24313579402158\n", + "83. 3.91204612406218\n", + "84. 3.48875712173202\n", + "85. 1.60759860785434\n", + "86. 3.39701031464592\n", + "87. 1.78992828830197\n", + "88. 3.9839358403609\n", + "89. 1.90453535169939\n", + "90. 6.33754514724471\n", + "91. 3.69617014435091\n", + "92. 6.56467706667067\n", + "93. 9.31000920528741\n", + "94. 3.78790402000158\n", + "95. 7.15157591398403\n", + "96. 1.2926007260022\n", + "97. 4.22168154989526\n", + "98. 5.69442177961716\n", + "99. 4.2880924393703\n", + "100. 3.89231379390036\n", + "\n", + "\n", + "\n", + "18. 1. 5.48675440059876\n", + "2. 3.17467643688782\n", + "3. 6.39887874746113\n", + "4. 2.85830921614722\n", + "5. 7.11217592895027\n", + "6. 1.87641394343723\n", + "7. 2.86442262960699\n", + "8. 4.75158606155284\n", + "9. 1.7705580434766\n", + "10. 1.06382063772515\n", + "11. 1.86701190686666\n", + "12. 2.13454828746701\n", + "13. 3.88316792759886\n", + "14. 6.43347663850788\n", + "15. 6.19503266627106\n", + "16. 1.90044354776971\n", + "17. 2.0843780703101\n", + "18. 6.72223018369271\n", + "19. 0.797008903763485\n", + "20. 2.28386778243903\n", + "21. 7.20109444717423\n", + "22. 6.49777875926284\n", + "23. 3.36780893543867\n", + "24. 2.59178842604905\n", + "25. 3.19195528131484\n", + "26. 2.10448767747074\n", + "27. 4.29392195355831\n", + "28. 2.46547247581699\n", + "29. 7.43922497598123\n", + "30. 2.72462414300829\n", + "31. 1.97293402483293\n", + "32. 6.41993181588083\n", + "33. 2.84587295946611\n", + "34. 1.2297897864475\n", + "35. 5.93541713006643\n", + "36. 7.73957040634904\n", + "37. 5.3646920707085\n", + "38. 1.60259810960732\n", + "39. 1.7921282876187\n", + "40. 2.80195594662493\n", + "41. 4.77530986605808\n", + "42. 4.83803837700091\n", + "43. 1.83811844784852\n", + "44. 1.62403743252174\n", + "45. 4.48872679333978\n", + "46. 2.71535067558649\n", + "47. 5.03300553880926\n", + "48. 3.43984052268466\n", + "49. 3.81538486397327\n", + "50. 3.83369976118549\n", + "51. 2.25406186442719\n", + "52. 6.87927656684953\n", + "53. 2.35987116230188\n", + "54. 1.89652137887436\n", + "55. 4.81448053816235\n", + "56. 2.68025562711053\n", + "57. 1.80167641874116\n", + "58. 1.531703981843\n", + "59. 1.89685296831229\n", + "60. 2.16414172778697\n", + "61. 1.95435481066745\n", + "62. 1.67069040124306\n", + "63. 6.02833266018483\n", + "64. 7.10576092093509\n", + "65. 3.05572369441537\n", + "66. 3.48775495972116\n", + "67. 2.70278440158472\n", + "68. 3.54569563776061\n", + "69. 6.54105439329327\n", + "70. 1.42384408004169\n", + "71. 6.03278416844129\n", + "72. 1.97757387039941\n", + "73. 6.89701760202682\n", + "74. 5.83951687800502\n", + "75. 1.71486310861323\n", + "76. 0.883824654372959\n", + "77. 3.25881850604689\n", + "78. 2.05720902152633\n", + "79. 4.20160218961795\n", + "80. 5.87236858872444\n", + "81. 3.26899092408076\n", + "82. 3.93634918943394\n", + "83. 7.81135863802518\n", + "84. 8.70205791234221\n", + "85. 2.24423497684239\n", + "86. 3.09678174595435\n", + "87. 2.20011561651522\n", + "88. 3.44015498191814\n", + "89. 6.24390306868331\n", + "90. 1.89093437690909\n", + "91. 6.27899846850332\n", + "92. 3.50608779915458\n", + "93. 0.810272771096226\n", + "94. 5.19698825941725\n", + "95. 2.85281560296649\n", + "96. 3.46192985427267\n", + "97. 8.03963283201143\n", + "98. 1.09254196348086\n", + "99. 1.44388671816682\n", + "100. 1.63284684209851\n", + "\n", + "\n", + "\n", + "19. 1. 6.9847401670112\n", + "2. 1.89065647718194\n", + "3. 4.15214781032227\n", + "4. 3.29601477353997\n", + "5. 7.24793129469219\n", + "6. 8.69170021126224\n", + "7. 4.93428279479148\n", + "8. 1.2875823653907\n", + "9. 7.96906830452952\n", + "10. 7.90580755941419\n", + "11. 1.17989937647116\n", + "12. 3.28592586721239\n", + "13. 5.47369025239897\n", + "14. 5.47358247858924\n", + "15. 1.2799139125377\n", + "16. 5.40034841523825\n", + "17. 3.76771190339801\n", + "18. 3.67137569548382\n", + "19. 2.47996421591222\n", + "20. 2.64972654860207\n", + "21. 2.6279306971409\n", + "22. 4.70444721803132\n", + "23. 1.82103265308182\n", + "24. 5.16714709022813\n", + "25. 5.08704524066278\n", + "26. 5.67928172665025\n", + "27. 4.34813694504132\n", + "28. 6.45189125067166\n", + "29. 1.68143993485388\n", + "30. 2.02822693354504\n", + "31. 8.81218761777615\n", + "32. 4.48062451261649\n", + "33. 2.90479533425883\n", + "34. 6.04612621873129\n", + "35. 3.86322939280368\n", + "36. 5.12359401778992\n", + "37. 7.02854093573452\n", + "38. 3.50649763142433\n", + "39. 8.15972075542527\n", + "40. 9.2880476817579\n", + "41. 1.58080793919835\n", + "42. 2.14734397858375\n", + "43. 6.13076824419717\n", + "44. 7.29574605342387\n", + "45. 4.72786155180898\n", + "46. 0.473902108296734\n", + "47. 1.28425054973136\n", + "48. 5.10830635757801\n", + "49. 3.415217321999\n", + "50. 3.54379962836245\n", + "51. 4.23996833317021\n", + "52. 7.70360198047583\n", + "53. 2.11095350733489\n", + "54. 3.15944396284375\n", + "55. 3.88788134254286\n", + "56. 3.23394300719373\n", + "57. 1.24795258570849\n", + "58. 4.67054110476738\n", + "59. 1.19879396462053\n", + "60. 2.64086093488053\n", + "61. 1.26422647023197\n", + "62. 3.21005382441475\n", + "63. 3.69028456956576\n", + "64. 4.79494818688204\n", + "65. 3.21787496258614\n", + "66. 1.96989348773985\n", + "67. 3.10535479071905\n", + "68. 1.29199159151947\n", + "69. 2.91159799681139\n", + "70. 1.74175691235701\n", + "71. 2.65522409127404\n", + "72. 2.7335272713274\n", + "73. 2.14307062691453\n", + "74. 3.16417908438128\n", + "75. 3.28484205774145\n", + "76. 4.67208966596296\n", + "77. 3.27381153899263\n", + "78. 4.24587452818578\n", + "79. 7.6453259062249\n", + "80. 5.07610383341099\n", + "81. 4.24233632129258\n", + "82. 2.61568398304477\n", + "83. 3.73285193263942\n", + "84. 4.26837081185484\n", + "85. 4.39851016596884\n", + "86. 3.76875962194947\n", + "87. 1.82067421033698\n", + "88. 5.33253308172285\n", + "89. 1.26806163956501\n", + "90. 6.06946046181119\n", + "91. 1.70811558964724\n", + "92. 6.28342864244514\n", + "93. 1.55274475373849\n", + "94. 1.88725929597445\n", + "95. 1.40383756048381\n", + "96. 6.03141964492531\n", + "97. 5.14867036912384\n", + "98. 6.53506456121821\n", + "99. 8.12087072659291\n", + "100. 5.23200652085501\n", + "\n", + "\n", + "\n", + "20. 1. 3.69584936972449\n", + "2. 2.49699838425425\n", + "3. 2.00840535811159\n", + "4. 1.08072032187925\n", + "5. 1.84183914486819\n", + "6. 2.61777877089636\n", + "7. 5.19621759523973\n", + "8. 2.5112327931748\n", + "9. 3.08138915559517\n", + "10. 6.43307246756901\n", + "11. 0.906295641962538\n", + "12. 4.32325921414387\n", + "13. 4.71395050794486\n", + "14. 1.56567386203381\n", + "15. 1.82848527541418\n", + "16. 2.83978040439876\n", + "17. 5.01717136003633\n", + "18. 0.987513337641646\n", + "19. 1.93014094353967\n", + "20. 3.80063797087771\n", + "21. 6.48666797809682\n", + "22. 0.594232635146751\n", + "23. 2.53152026631474\n", + "24. 2.87023411085694\n", + "25. 3.38400149090641\n", + "26. 3.47569049527264\n", + "27. 2.34370019675152\n", + "28. 1.16581527299373\n", + "29. 1.26546072808892\n", + "30. 1.90662408708832\n", + "31. 4.18491517960048\n", + "32. 2.75594347852702\n", + "33. 2.14784094524875\n", + "34. 4.0305434669031\n", + "35. 2.76621882796512\n", + "36. 3.94295419121312\n", + "37. 6.14225990129386\n", + "38. 4.23856648138041\n", + "39. 3.40155142583111\n", + "40. 1.78841001455528\n", + "41. 2.17073513909175\n", + "42. 2.32465538868527\n", + "43. 2.17899779771652\n", + "44. 6.89629378487663\n", + "45. 4.52911023371704\n", + "46. 3.61230039801039\n", + "47. 2.59237249910906\n", + "48. 1.96914595478049\n", + "49. 2.27840121631857\n", + "50. 3.60442273295507\n", + "51. 3.06557820701461\n", + "52. 5.79408926914945\n", + "53. 1.1553019050215\n", + "54. 2.23119210392926\n", + "55. 5.78622171050933\n", + "56. 5.62697149759359\n", + "57. 2.36554454947782\n", + "58. 2.57257859433449\n", + "59. 4.39412685784749\n", + "60. 2.46392319986834\n", + "61. 5.6258564230765\n", + "62. 2.3669319780262\n", + "63. 4.3053068386105\n", + "64. 1.39883463255638\n", + "65. 1.25118118474486\n", + "66. 1.5918123103549\n", + "67. 3.11086773112752\n", + "68. 4.95775111062005\n", + "69. 2.4904902419782\n", + "70. 1.90699629807863\n", + "71. 6.83906376592812\n", + "72. 3.54888927444698\n", + "73. 3.26926305770662\n", + "74. 3.57561543266603\n", + "75. 3.56303273663258\n", + "76. 2.29550561412709\n", + "77. 3.22518874714167\n", + "78. 3.36420911799848\n", + "79. 6.48171969621115\n", + "80. 4.27068199474603\n", + "81. 3.85678404441959\n", + "82. 2.0158345482944\n", + "83. 1.25613106425192\n", + "84. 2.51131455694033\n", + "85. 3.79378666089819\n", + "86. 2.46557096464825\n", + "87. 2.0270759567326\n", + "88. 5.57317085193294\n", + "89. 2.70102924611087\n", + "90. 5.55680765078537\n", + "91. 3.65659633685481\n", + "92. 5.84928394862895\n", + "93. 2.81587589422097\n", + "94. 1.18178689496881\n", + "95. 2.72173498174517\n", + "96. 2.48985573362354\n", + "97. 4.4915331078746\n", + "98. 3.42627924231326\n", + "99. 1.36451982098963\n", + "100. 2.62231993700669\n", + "\n", + "\n", + "\n", + "21. 1. 6.36488910303046\n", + "2. 4.94334591063897\n", + "3. 3.98389861844806\n", + "4. 9.25632202858532\n", + "5. 5.12063829570488\n", + "6. 6.23786860736365\n", + "7. 0.701841188002244\n", + "8. 5.67559522026141\n", + "9. 3.49434243976426\n", + "10. 5.41822574251008\n", + "11. 8.30571796381023\n", + "12. 10.7477684876352\n", + "13. 2.55013774754186\n", + "14. 6.34171881997449\n", + "15. 6.63229239320222\n", + "16. 7.04624693043383\n", + "17. 1.67543338124097\n", + "18. 4.70061772966265\n", + "19. 2.69554920940446\n", + "20. 5.39075244061432\n", + "21. 2.0357756444322\n", + "22. 2.27141888897684\n", + "23. 4.81837957852784\n", + "24. 8.25545949613494\n", + "25. 3.16771635667194\n", + "26. 5.78975203095388\n", + "27. 5.49617864806221\n", + "28. 1.19864820098633\n", + "29. 1.69479899624374\n", + "30. 2.84846194129032\n", + "31. 7.25800634546816\n", + "32. 6.75257819707679\n", + "33. 3.45777671768669\n", + "34. 2.69396609621491\n", + "35. 4.30292802063473\n", + "36. 2.67435912758005\n", + "37. 2.66320377715064\n", + "38. 5.4712968722747\n", + "39. 2.36235785263915\n", + "40. 7.1036190683504\n", + "41. 6.56255384918426\n", + "42. 5.98446073007874\n", + "43. 1.84705211919773\n", + "44. 1.63887885926808\n", + "45. 8.28755477547605\n", + "46. 9.40583571008119\n", + "47. 2.16801333758491\n", + "48. 7.18905695047221\n", + "49. 1.8598341622764\n", + "50. 2.6631648490736\n", + "51. 6.33035698176936\n", + "52. 2.66050905364086\n", + "53. 2.40924465038628\n", + "54. 4.79460756690004\n", + "55. 2.88140817463965\n", + "56. 2.81839236955841\n", + "57. 2.46345660583529\n", + "58. 3.35976461721073\n", + "59. 5.92730140438997\n", + "60. 6.90919862628311\n", + "61. 5.06406239452709\n", + "62. 3.1099647656176\n", + "63. 6.00158016015143\n", + "64. 6.42996999358242\n", + "65. 3.49858825550776\n", + "66. 7.07864083447212\n", + "67. 1.86946847785665\n", + "68. 2.04769324425649\n", + "69. 2.91138489082945\n", + "70. 7.79602036742524\n", + "71. 1.69275903079188\n", + "72. 3.41698215896246\n", + "73. 4.957539042675\n", + "74. 5.13398951541831\n", + "75. 3.84488466557404\n", + "76. 5.39033687246889\n", + "77. 4.66728461240868\n", + "78. 3.59503055313441\n", + "79. 2.99893423505226\n", + "80. 2.4085177297191\n", + "81. 6.72678097912971\n", + "82. 5.46845517305544\n", + "83. 3.86322122266327\n", + "84. 2.513127580204\n", + "85. 1.98736689905165\n", + "86. 5.04426159096796\n", + "87. 3.88975395342076\n", + "88. 2.19118797179985\n", + "89. 6.97081154440839\n", + "90. 2.64710144676975\n", + "91. 3.42846570128062\n", + "92. 4.66253899259639\n", + "93. 1.47408906877225\n", + "94. 6.86759224372025\n", + "95. 5.41622931212485\n", + "96. 3.56486247900308\n", + "97. 3.5709122305837\n", + "98. 5.05367836253215\n", + "99. 4.20824214587951\n", + "100. 7.00340519143349\n", + "\n", + "\n", + "\n", + "22. 1. 5.32733532860995\n", + "2. 3.9822255678921\n", + "3. 7.15913653148444\n", + "4. 5.00321923801464\n", + "5. 2.08679173349617\n", + "6. 2.77196355707764\n", + "7. 2.49990975958608\n", + "8. 4.57748181716606\n", + "9. 3.84484730895162\n", + "10. 6.7201211066346\n", + "11. 6.63432858787695\n", + "12. 8.06542799981779\n", + "13. 6.76445953605325\n", + "14. 4.42999275130371\n", + "15. 6.76706111366495\n", + "16. 5.22453250932284\n", + "17. 6.74923331286767\n", + "18. 1.39855623836501\n", + "19. 4.72549053827684\n", + "20. 3.1180217748954\n", + "21. 6.09908407197399\n", + "22. 3.86371364322693\n", + "23. 9.01806088341062\n", + "24. 7.86943593758145\n", + "25. 6.53398754581272\n", + "26. 7.76871029880694\n", + "27. 4.15830652115989\n", + "28. 4.42047518098557\n", + "29. 3.42862910579101\n", + "30. 4.57785379554239\n", + "31. 4.46146718483222\n", + "32. 5.13594321676451\n", + "33. 2.76296373647147\n", + "34. 5.7803859814433\n", + "35. 4.10510675245806\n", + "36. 5.43610011121236\n", + "37. 7.10097017687463\n", + "38. 9.36925773965459\n", + "39. 2.50313458031377\n", + "40. 2.60551278903922\n", + "41. 5.82272706070444\n", + "42. 3.04086058422377\n", + "43. 2.18098926991928\n", + "44. 3.88221961694853\n", + "45. 7.81184033066238\n", + "46. 5.9018362264965\n", + "47. 2.87360046161879\n", + "48. 7.054180637972\n", + "49. 4.48239975223018\n", + "50. 4.09226352414297\n", + "51. 3.105542396461\n", + "52. 4.14705723556955\n", + "53. 7.01511448100415\n", + "54. 8.63455699004045\n", + "55. 6.42847457433764\n", + "56. 7.9997366470796\n", + "57. 7.48874265471495\n", + "58. 2.76910801538305\n", + "59. 8.37090421782274\n", + "60. 6.57789119487834\n", + "61. 5.53900695644742\n", + "62. 5.65885428096155\n", + "63. 3.34841341277084\n", + "64. 4.70891115148277\n", + "65. 2.91537664101041\n", + "66. 5.8209355658853\n", + "67. 4.85522315856728\n", + "68. 6.24070010077741\n", + "69. 1.33106526074207\n", + "70. 5.62053980146127\n", + "71. 7.19507304792053\n", + "72. 3.35980256999373\n", + "73. 4.51262597756191\n", + "74. 1.86181739697992\n", + "75. 2.83064035178986\n", + "76. 6.22539648266149\n", + "77. 5.13541846014736\n", + "78. 7.09102529996324\n", + "79. 5.39042919283695\n", + "80. 7.64867754404009\n", + "81. 3.6062432512126\n", + "82. 6.36867538930889\n", + "83. 9.63126329818998\n", + "84. 2.96217505018099\n", + "85. 7.31694423221643\n", + "86. 2.08502744137831\n", + "87. 5.63735183942937\n", + "88. 4.59968156293431\n", + "89. 4.72865633906921\n", + "90. 3.93075746329737\n", + "91. 6.89375628538556\n", + "92. 7.38609504551204\n", + "93. 4.15141357992113\n", + "94. 1.03340293256905\n", + "95. 4.66682404501561\n", + "96. 7.25786394936132\n", + "97. 1.24713281423563\n", + "98. 9.0379340997347\n", + "99. 5.57733690257146\n", + "100. 8.55191330388362\n", + "\n", + "\n", + "\n", + "23. 1. 4.4784970892613\n", + "2. 1.80035378683288\n", + "3. 5.10231002492126\n", + "4. 2.60917712917409\n", + "5. 0.985700885867674\n", + "6. 1.21309840378652\n", + "7. 3.70575841610354\n", + "8. 0.71665211436124\n", + "9. 2.40817160484175\n", + "10. 4.5254232362976\n", + "11. 5.13465754822334\n", + "12. 8.69261952936659\n", + "13. 4.5191974519101\n", + "14. 1.65580939173958\n", + "15. 0.96013071364377\n", + "16. 5.8985228607386\n", + "17. 1.05305599439712\n", + "18. 3.14909228442564\n", + "19. 4.49945790995084\n", + "20. 1.22206644509033\n", + "21. 6.48326569444055\n", + "22. 2.45314714212483\n", + "23. 1.98785862098354\n", + "24. 4.23356422123417\n", + "25. 4.45604734817541\n", + "26. 0.983479120992655\n", + "27. 2.58786382837564\n", + "28. 4.42703597466531\n", + "29. 3.48456041869744\n", + "30. 2.5076792895624\n", + "31. 7.83552896517296\n", + "32. 1.55812219656059\n", + "33. 0.588199534295027\n", + "34. 3.50248239780345\n", + "35. 5.25809153633905\n", + "36. 2.89348241609377\n", + "37. 2.69543608627295\n", + "38. 3.94408378461344\n", + "39. 3.28934241148518\n", + "40. 1.55488451267829\n", + "41. 3.59745425306248\n", + "42. 2.06964093689501\n", + "43. 4.21071536983812\n", + "44. 6.75524545271811\n", + "45. 1.97679892907866\n", + "46. 2.148182599319\n", + "47. 5.34310073951735\n", + "48. 3.06542409849661\n", + "49. 2.92934334216028\n", + "50. 5.58717256415295\n", + "51. 1.80917114638448\n", + "52. 4.40621760707779\n", + "53. 1.5649238192374\n", + "54. 1.35020482819035\n", + "55. 3.17291587040313\n", + "56. 4.05846512067523\n", + "57. 4.09533194273965\n", + "58. 1.35298221852601\n", + "59. 5.81117791366298\n", + "60. 0.780887251276745\n", + "61. 3.12073688891378\n", + "62. 1.86498546553995\n", + "63. 2.72619367197935\n", + "64. 1.81589676019419\n", + "65. 2.60358640547442\n", + "66. 0.758883145773709\n", + "67. 0.432551760152943\n", + "68. 1.35088134462723\n", + "69. 2.50910906945627\n", + "70. 1.51177855380457\n", + "71. 3.85664934216086\n", + "72. 3.53880766304171\n", + "73. 2.86444836489366\n", + "74. 6.13675933388114\n", + "75. 4.47424294313739\n", + "76. 3.0536636416894\n", + "77. 5.32027519693865\n", + "78. 4.63281609970422\n", + "79. 1.94123057605952\n", + "80. 1.0008787382441\n", + "81. 2.44015957607192\n", + "82. 3.76883518088843\n", + "83. 7.17582228781898\n", + "84. 3.71405653598009\n", + "85. 3.86379354731767\n", + "86. 7.67513071315857\n", + "87. 2.41454741112282\n", + "88. 5.88231587919138\n", + "89. 3.38741110863713\n", + "90. 1.83607179576828\n", + "91. 1.94782889660417\n", + "92. 3.85926692049739\n", + "93. 7.62482894854196\n", + "94. 1.42889163619989\n", + "95. 1.68365640707705\n", + "96. 1.58080545005203\n", + "97. 3.08471354978154\n", + "98. 3.3067021517757\n", + "99. 3.02323372784319\n", + "100. 7.69626664557039\n", + "\n", + "\n", + "\n", + "24. 1. 1.9083710147228\n", + "2. 2.73702498821977\n", + "3. 3.58055400076022\n", + "4. 7.17826248689185\n", + "5. 4.51922054124615\n", + "6. 0.709055894991428\n", + "7. 5.9112896182741\n", + "8. 6.12086757654851\n", + "9. 3.98282891940828\n", + "10. 1.31640187500315\n", + "11. 6.60873790420842\n", + "12. 5.37842208875147\n", + "13. 1.02022877053241\n", + "14. 3.39199922848958\n", + "15. 3.47620236904372\n", + "16. 7.68053995995997\n", + "17. 1.55131070284491\n", + "18. 1.90213652013814\n", + "19. 1.32919625759521\n", + "20. 3.28891462452784\n", + "21. 3.950968747192\n", + "22. 6.71283964160148\n", + "23. 5.55392120943899\n", + "24. 3.07790048804741\n", + "25. 2.82833789414274\n", + "26. 1.94420748673444\n", + "27. 2.52664996478632\n", + "28. 3.17137693801774\n", + "29. 2.85283361527396\n", + "30. 4.92990542669925\n", + "31. 1.72153375029464\n", + "32. 3.30383683218632\n", + "33. 1.14699420285985\n", + "34. 2.00481989172855\n", + "35. 1.00320014328692\n", + "36. 4.76706169064329\n", + "37. 1.17853265571868\n", + "38. 5.12985538451285\n", + "39. 2.37704184795786\n", + "40. 1.54240250235685\n", + "41. 7.89351459540784\n", + "42. 6.12857978472824\n", + "43. 6.55669340814894\n", + "44. 7.36310261987807\n", + "45. 4.32662220651049\n", + "46. 1.36644551708609\n", + "47. 3.93424360931163\n", + "48. 4.45117887958274\n", + "49. 5.37330540828858\n", + "50. 5.51402028806821\n", + "51. 3.86341414113175\n", + "52. 4.17498016154051\n", + "53. 2.76375087195311\n", + "54. 3.0169784449138\n", + "55. 5.8947328427423\n", + "56. 5.50905451144381\n", + "57. 3.45424101202517\n", + "58. 1.43450647376255\n", + "59. 5.39289401146909\n", + "60. 2.86879070340326\n", + "61. 9.0953591839713\n", + "62. 4.20876999257604\n", + "63. 3.12188177434095\n", + "64. 5.91725706227346\n", + "65. 5.69085551164582\n", + "66. 1.20934498371876\n", + "67. 2.70391281088559\n", + "68. 4.80276433029847\n", + "69. 2.21328742956427\n", + "70. 2.18357014123119\n", + "71. 3.25271799231874\n", + "72. 5.44489000466271\n", + "73. 2.24730820598351\n", + "74. 4.68669944130006\n", + "75. 5.56430090802588\n", + "76. 1.69912257113453\n", + "77. 0.633798570935275\n", + "78. 2.60843407154694\n", + "79. 6.07175778312363\n", + "80. 1.80090624853638\n", + "81. 5.3469239356699\n", + "82. 4.65199780197643\n", + "83. 4.53013389346409\n", + "84. 5.54650872402747\n", + "85. 6.53905735034118\n", + "86. 1.21025352600721\n", + "87. 6.53357430494305\n", + "88. 4.52094897352248\n", + "89. 3.75594007179109\n", + "90. 5.95545358190729\n", + "91. 2.4054607401054\n", + "92. 3.08492012190925\n", + "93. 5.98068059228989\n", + "94. 3.09123314218258\n", + "95. 5.05962413836402\n", + "96. 8.66974849866829\n", + "97. 5.99991282447159\n", + "98. 4.7168993916495\n", + "99. 6.55842387548743\n", + "100. 6.79892831010638\n", + "\n", + "\n", + "\n", + "25. 1. 7.19883713635242\n", + "2. 2.23160917572492\n", + "3. 2.77578409765547\n", + "4. 4.83474170587358\n", + "5. 6.94420964224872\n", + "6. 5.48203310728248\n", + "7. 4.21942154914008\n", + "8. 6.0229742277487\n", + "9. 7.07157754287358\n", + "10. 1.77343154283059\n", + "11. 3.50715083321606\n", + "12. 2.07391313198933\n", + "13. 2.82040758920655\n", + "14. 7.46781532228021\n", + "15. 7.71379543205664\n", + "16. 2.45028588357838\n", + "17. 5.62484137082455\n", + "18. 1.95105689770206\n", + "19. 3.92475299491227\n", + "20. 6.74237681005232\n", + "21. 2.55434128515114\n", + "22. 1.18432938833526\n", + "23. 5.61097115220819\n", + "24. 3.68652891791432\n", + "25. 11.0840783567612\n", + "26. 4.99797677150499\n", + "27. 5.21814444723457\n", + "28. 6.23583324106685\n", + "29. 5.27130431055053\n", + "30. 6.96103939290087\n", + "31. 10.5888716400625\n", + "32. 6.21191523202077\n", + "33. 12.680158801013\n", + "34. 7.48125544249683\n", + "35. 2.85729814038886\n", + "36. 6.77951970378092\n", + "37. 5.35925242543582\n", + "38. 4.93832082414308\n", + "39. 4.7983015213242\n", + "40. 6.9255327656034\n", + "41. 8.20985082306767\n", + "42. 4.69241723208167\n", + "43. 6.19049161651871\n", + "44. 4.87474342714373\n", + "45. 6.90074972932732\n", + "46. 8.16840747104633\n", + "47. 6.88292048398721\n", + "48. 6.90813962157959\n", + "49. 3.85262270134608\n", + "50. 3.65271384450755\n", + "51. 6.11042635412955\n", + "52. 3.64743965617894\n", + "53. 6.07156043948616\n", + "54. 7.78020174282556\n", + "55. 5.16756633084993\n", + "56. 2.46526290637562\n", + "57. 10.0887015631309\n", + "58. 4.91647047777965\n", + "59. 4.13023216195937\n", + "60. 6.65924697856317\n", + "61. 3.3440381328863\n", + "62. 5.20149436766885\n", + "63. 6.60341054018056\n", + "64. 5.86056720808025\n", + "65. 4.71292490471785\n", + "66. 5.21187886194507\n", + "67. 6.27010015516936\n", + "68. 7.81660361646741\n", + "69. 3.30439096118935\n", + "70. 4.6955974278413\n", + "71. 0.675380896501148\n", + "72. 1.87456179823883\n", + "73. 3.9376412298112\n", + "74. 5.97024495129472\n", + "75. 2.95738279080716\n", + "76. 5.68780824208237\n", + "77. 2.91105758818812\n", + "78. 6.75363240550639\n", + "79. 7.44550050430656\n", + "80. 5.20443748556673\n", + "81. 5.09724143431396\n", + "82. 0.823512816122794\n", + "83. 5.73764165722466\n", + "84. 4.70355176226342\n", + "85. 2.23795976094898\n", + "86. 8.87864050462024\n", + "87. 4.45889577999623\n", + "88. 2.60677467468926\n", + "89. 6.02489495444096\n", + "90. 3.58529000027129\n", + "91. 0.749129760466896\n", + "92. 3.93932178813605\n", + "93. 6.98430994446503\n", + "94. 5.22574723937736\n", + "95. 4.88831217302942\n", + "96. 6.50425884158328\n", + "97. 6.17042620249535\n", + "98. 5.9466393116617\n", + "99. 6.4237776184202\n", + "100. 5.7424014185065\n", + "\n", + "\n", + "\n", + "26. 1. 6.8181135328349\n", + "2. 0.599447025862405\n", + "3. 2.02724714668589\n", + "4. 4.64652537235674\n", + "5. 2.39104366114642\n", + "6. 1.42784841300165\n", + "7. 7.75892633445186\n", + "8. 9.57059078448963\n", + "9. 4.26422533168048\n", + "10. 2.8481446877884\n", + "11. 9.96882537107319\n", + "12. 5.86750365952473\n", + "13. 1.68394522647694\n", + "14. 6.37400145094986\n", + "15. 2.93156555482752\n", + "16. 9.116889958773\n", + "17. 8.34272379697601\n", + "18. 7.73477060510026\n", + "19. 5.89819144323078\n", + "20. 4.49993342597769\n", + "21. 2.73701427983934\n", + "22. 5.41474773524301\n", + "23. 4.18645653179757\n", + "24. 1.40831501404066\n", + "25. 6.71376245142475\n", + "26. 7.0247770428879\n", + "27. 6.67500117402476\n", + "28. 5.06020860458108\n", + "29. 4.18295155339672\n", + "30. 7.70364516025325\n", + "31. 9.22456744846766\n", + "32. 2.25507409783915\n", + "33. 1.07751421216755\n", + "34. 2.02605001512613\n", + "35. 1.74064877587838\n", + "36. 7.59653428593958\n", + "37. 6.41577221746165\n", + "38. 2.39043408378483\n", + "39. 3.82064296644329\n", + "40. 1.81414922042916\n", + "41. 5.55359826818387\n", + "42. 3.63620306974963\n", + "43. 2.09764319190662\n", + "44. 6.15909055199962\n", + "45. 3.13093270598125\n", + "46. 3.82546386783375\n", + "47. 4.90767527315398\n", + "48. 2.31931072120912\n", + "49. 4.35812655530916\n", + "50. 2.67713791931084\n", + "51. 4.83361048137949\n", + "52. 1.79120353765539\n", + "53. 2.46715667464015\n", + "54. 2.1220135597847\n", + "55. 6.07841432214723\n", + "56. 3.58915030158796\n", + "57. 6.81931861257266\n", + "58. 2.90278236419624\n", + "59. 3.16858962275433\n", + "60. 4.04509224276524\n", + "61. 5.20064452468261\n", + "62. 4.92531242553217\n", + "63. 4.51491772635426\n", + "64. 2.05617945409153\n", + "65. 4.36332594616332\n", + "66. 2.01610330755073\n", + "67. 6.12341903458261\n", + "68. 5.50993891542999\n", + "69. 6.71883376747058\n", + "70. 9.03267029534923\n", + "71. 2.55894813093934\n", + "72. 5.06086139571552\n", + "73. 5.61059019165573\n", + "74. 2.88753177180559\n", + "75. 2.3106482306657\n", + "76. 1.1156997848091\n", + "77. 4.1751726625053\n", + "78. 7.50361890123337\n", + "79. 4.24048488012155\n", + "80. 1.49057988660367\n", + "81. 4.20472006351786\n", + "82. 5.43841594389608\n", + "83. 4.34592423793983\n", + "84. 7.44768963054582\n", + "85. 3.51475623001232\n", + "86. 2.65073630850286\n", + "87. 2.83618912582246\n", + "88. 7.65004224576175\n", + "89. 5.56464320925923\n", + "90. 3.28239781275252\n", + "91. 3.63372206386983\n", + "92. 3.0710756840985\n", + "93. 7.95021019082563\n", + "94. 8.88494506196684\n", + "95. 6.56831400056357\n", + "96. 1.35307282453719\n", + "97. 4.66938330739325\n", + "98. 5.86907283470642\n", + "99. 5.37567369645952\n", + "100. 8.01804666918122\n", + "\n", + "\n", + "\n", + "27. 1. 1.46310058216524\n", + "2. 2.86022218385711\n", + "3. 1.3009135595411\n", + "4. 4.09875638487247\n", + "5. 6.08558248052397\n", + "6. 9.30173876934994\n", + "7. 2.71029972562827\n", + "8. 2.64934629312197\n", + "9. 3.73130294678399\n", + "10. 4.80712386201323\n", + "11. 7.98710783735704\n", + "12. 7.1875424503882\n", + "13. 2.40405699021114\n", + "14. 4.75330588155319\n", + "15. 7.24265459180155\n", + "16. 4.53971083042922\n", + "17. 3.39787016381178\n", + "18. 2.17510590691325\n", + "19. 3.82476933963144\n", + "20. 4.38739736722219\n", + "21. 5.93834853373491\n", + "22. 7.78046188820784\n", + "23. 6.46737280754567\n", + "24. 8.23981286523033\n", + "25. 1.0283984311383\n", + "26. 1.44975083674323\n", + "27. 2.06045186528873\n", + "28. 4.6340668682703\n", + "29. 4.57825845347488\n", + "30. 4.07007776586236\n", + "31. 4.63268404158456\n", + "32. 3.41681952435054\n", + "33. 2.56392677127545\n", + "34. 3.92784468560447\n", + "35. 5.82997094097423\n", + "36. 5.2073225708705\n", + "37. 5.07602207200034\n", + "38. 3.98935945192803\n", + "39. 6.07536864722829\n", + "40. 8.11958345371618\n", + "41. 1.61224420380254\n", + "42. 3.18283926537063\n", + "43. 7.9052012129807\n", + "44. 1.05989155275972\n", + "45. 5.44092499011601\n", + "46. 4.15988268690711\n", + "47. 1.35789583472492\n", + "48. 1.27648150828073\n", + "49. 1.63143145593274\n", + "50. 4.3030045037258\n", + "51. 6.60136805143209\n", + "52. 7.58590248798881\n", + "53. 4.95662253233082\n", + "54. 6.58939884358995\n", + "55. 1.06429800945341\n", + "56. 7.03382859138555\n", + "57. 7.14432499337881\n", + "58. 8.23479314386192\n", + "59. 3.44707550616757\n", + "60. 3.78590004785117\n", + "61. 3.3222373838239\n", + "62. 8.83422741540236\n", + "63. 5.62399941151989\n", + "64. 6.37245885585549\n", + "65. 7.33375986037099\n", + "66. 7.98871705955275\n", + "67. 3.73897547660158\n", + "68. 5.17295217065997\n", + "69. 4.48021045462924\n", + "70. 6.82371226371277\n", + "71. 4.54116890408709\n", + "72. 3.465207291075\n", + "73. 1.43890238483561\n", + "74. 5.37896759673892\n", + "75. 10.0152124526993\n", + "76. 3.72405954618661\n", + "77. 8.03543332177993\n", + "78. 8.38769685982393\n", + "79. 6.19731676744166\n", + "80. 4.17180050606941\n", + "81. 5.4886400044317\n", + "82. 4.63332004722092\n", + "83. 2.3090388292845\n", + "84. 6.34105490097068\n", + "85. 5.94855197702479\n", + "86. 7.07020293122206\n", + "87. 2.78580749110857\n", + "88. 7.54992470923855\n", + "89. 7.00416337671845\n", + "90. 4.32437487138433\n", + "91. 6.16655790313069\n", + "92. 8.22242543899247\n", + "93. 5.34485851339475\n", + "94. 7.04919065655634\n", + "95. 5.68404167174004\n", + "96. 7.24553883824564\n", + "97. 1.69742192839798\n", + "98. 8.53502098148406\n", + "99. 4.66884402446126\n", + "100. 3.95511693446582\n", + "\n", + "\n", + "\n", + "28. 1. 3.7363143954868\n", + "2. 7.97107674957998\n", + "3. 5.15257358372163\n", + "4. 5.63116102896095\n", + "5. 7.50409957177749\n", + "6. 1.83213998246193\n", + "7. 4.40435629056393\n", + "8. 7.25793853378286\n", + "9. 2.81972468008538\n", + "10. 6.59957918955191\n", + "11. 2.39513576365287\n", + "12. 1.77695747077261\n", + "13. 5.3508842914468\n", + "14. 6.62724176199913\n", + "15. 3.43982544661054\n", + "16. 5.33776266583557\n", + "17. 6.80733034587167\n", + "18. 6.46827627201454\n", + "19. 4.49620537224271\n", + "20. 8.17594694305355\n", + "21. 4.94725157396657\n", + "22. 2.90898186732826\n", + "23. 7.58984964467443\n", + "24. 9.23822313081367\n", + "25. 7.1461993706877\n", + "26. 2.52171527654\n", + "27. 6.84589099455287\n", + "28. 6.4192411877607\n", + "29. 7.94322082170006\n", + "30. 4.27425955847369\n", + "31. 3.43383864165851\n", + "32. 6.5259066555707\n", + "33. 6.62337135170264\n", + "34. 8.6379304530521\n", + "35. 8.10233560697275\n", + "36. 5.42604342414676\n", + "37. 9.15327214945623\n", + "38. 6.47912521108015\n", + "39. 1.99878263266564\n", + "40. 1.95573327336551\n", + "41. 6.48026150582018\n", + "42. 8.74907756621742\n", + "43. 8.50538778109235\n", + "44. 3.70879378315044\n", + "45. 3.08364968072355\n", + "46. 6.31124241317451\n", + "47. 2.71481150522669\n", + "48. 6.5713110791879\n", + "49. 4.84381754484278\n", + "50. 4.08849662449709\n", + "51. 2.70885305198041\n", + "52. 8.19381897141003\n", + "53. 8.21958620973791\n", + "54. 6.90980009754636\n", + "55. 3.48582729138755\n", + "56. 11.0810474031697\n", + "57. 5.08891910932744\n", + "58. 5.88417372842211\n", + "59. 7.48989523210341\n", + "60. 5.43242730509884\n", + "61. 5.1174013033423\n", + "62. 4.252497890468\n", + "63. 3.06169968696257\n", + "64. 4.50536447304479\n", + "65. 5.28544380765808\n", + "66. 9.05563560612052\n", + "67. 6.6758125858973\n", + "68. 3.66762305354134\n", + "69. 4.08379635573314\n", + "70. 5.17965290839755\n", + "71. 5.05326109749298\n", + "72. 6.26041352213722\n", + "73. 8.79898332554671\n", + "74. 5.77816870595164\n", + "75. 5.83118684696078\n", + "76. 6.81471137122467\n", + "77. 3.70357275956797\n", + "78. 4.608605529441\n", + "79. 8.11724734027443\n", + "80. 5.57040058039571\n", + "81. 5.67042141363465\n", + "82. 6.09871327293125\n", + "83. 6.51338181326212\n", + "84. 5.17665742267174\n", + "85. 4.20944267385126\n", + "86. 8.76848045277575\n", + "87. 8.14873458266026\n", + "88. 8.00378098817048\n", + "89. 6.82441542471926\n", + "90. 4.76709602714383\n", + "91. 2.24097117271097\n", + "92. 3.05423806489674\n", + "93. 2.98942906456584\n", + "94. 6.46709365400559\n", + "95. 5.69936146854564\n", + "96. 8.94227024764924\n", + "97. 9.34399480689065\n", + "98. 9.62083641807913\n", + "99. 1.97149111450797\n", + "100. 8.77959951213558\n", + "\n", + "\n", + "\n", + "29. 1. 4.44573759997412\n", + "2. 5.40702256854832\n", + "3. 1.47626013080473\n", + "4. 5.63331360271463\n", + "5. 4.39657788966882\n", + "6. 4.29704145779677\n", + "7. 7.23408312513799\n", + "8. 1.52859518461238\n", + "9. 4.98895747584276\n", + "10. 4.81765900701022\n", + "11. 3.84473348041043\n", + "12. 3.56940423456483\n", + "13. 6.38889757963418\n", + "14. 2.34632728732772\n", + "15. 4.22108418131488\n", + "16. 0.901532322679313\n", + "17. 6.37638119630144\n", + "18. 5.31815257631018\n", + "19. 5.25843520055229\n", + "20. 4.74804050083517\n", + "21. 8.77362302992707\n", + "22. 5.30981087604715\n", + "23. 4.14883688571683\n", + "24. 6.28422416399458\n", + "25. 4.6257156158178\n", + "26. 2.79305797215\n", + "27. 4.16865064097103\n", + "28. 4.21778587241641\n", + "29. 4.99337696568919\n", + "30. 7.44398810214784\n", + "31. 3.48287375766818\n", + "32. 2.31442987000856\n", + "33. 5.72401404295532\n", + "34. 7.20080332317263\n", + "35. 2.26360794649956\n", + "36. 5.83273701662213\n", + "37. 4.46474300126244\n", + "38. 4.45414949242787\n", + "39. 6.49847527270632\n", + "40. 1.37323059297615\n", + "41. 1.71770629783264\n", + "42. 3.87578197254796\n", + "43. 1.98650506250663\n", + "44. 2.25834300507938\n", + "45. 6.83016707127591\n", + "46. 3.7243355991102\n", + "47. 5.93692637361742\n", + "48. 5.85788974430739\n", + "49. 4.85477175443799\n", + "50. 3.96904475358644\n", + "51. 5.27620436030666\n", + "52. 3.67012835196727\n", + "53. 4.93439945872826\n", + "54. 1.43443922207948\n", + "55. 4.48883249176468\n", + "56. 2.35032317750589\n", + "57. 6.42889879145277\n", + "58. 6.17231944384909\n", + "59. 3.48881994051896\n", + "60. 5.89614920282237\n", + "61. 5.93189678948328\n", + "62. 4.56158831743765\n", + "63. 4.22968670076663\n", + "64. 3.21654834896943\n", + "65. 6.85376228082689\n", + "66. 4.0860940217977\n", + "67. 3.21891782869067\n", + "68. 1.83995391058189\n", + "69. 5.01978931685563\n", + "70. 3.72342214596501\n", + "71. 2.15579593663843\n", + "72. 4.61793858779678\n", + "73. 5.4736971582834\n", + "74. 7.79243125828052\n", + "75. 5.27894628108995\n", + "76. 7.14274035392987\n", + "77. 6.5637644849266\n", + "78. 5.58383967275682\n", + "79. 1.97224524578651\n", + "80. 2.17284859773381\n", + "81. 2.16376780038621\n", + "82. 4.32762415279855\n", + "83. 8.93922907069382\n", + "84. 1.91350262492198\n", + "85. 3.42916422807471\n", + "86. 2.53198459451211\n", + "87. 0.638525147606676\n", + "88. 2.75949472748885\n", + "89. 8.61447487063202\n", + "90. 4.50018546998246\n", + "91. 5.55000229619083\n", + "92. 2.33778729222801\n", + "93. 6.17869678196718\n", + "94. 5.10932386938843\n", + "95. 4.502474936825\n", + "96. 5.91197335844616\n", + "97. 7.1431111722072\n", + "98. 1.91204885135727\n", + "99. 3.9393414961852\n", + "100. 6.49385895659825\n", + "\n", + "\n", + "\n", + "30. 1. 2.14342701661529\n", + "2. 6.3970497327381\n", + "3. 9.55173056890579\n", + "4. 4.41518242479185\n", + "5. 2.17208784250829\n", + "6. 1.15768771923897\n", + "7. 2.37750456389177\n", + "8. 4.21865672701338\n", + "9. 5.22429575501391\n", + "10. 1.4606771519445\n", + "11. 11.6949314613333\n", + "12. 3.4436256721707\n", + "13. 6.90587437024412\n", + "14. 2.64194127390682\n", + "15. 6.91903029412973\n", + "16. 1.61403793494409\n", + "17. 4.34116350714756\n", + "18. 2.44564879958173\n", + "19. 7.48899789029216\n", + "20. 7.53200992407977\n", + "21. 6.39438914668425\n", + "22. 1.64716388577432\n", + "23. 4.82617496795041\n", + "24. 1.8770811053107\n", + "25. 1.44714894904585\n", + "26. 6.31659198924571\n", + "27. 4.88638198107492\n", + "28. 8.37519128876231\n", + "29. 8.05859525979045\n", + "30. 5.89407976964424\n", + "31. 7.9375229397696\n", + "32. 6.44523373249024\n", + "33. 8.28808890102814\n", + "34. 13.1849407809757\n", + "35. 3.93187667441698\n", + "36. 2.05238814946508\n", + "37. 5.14317953593433\n", + "38. 1.46327916908327\n", + "39. 0.826572211236569\n", + "40. 0.618368148599459\n", + "41. 3.73250953477943\n", + "42. 2.14892434830064\n", + "43. 1.40874351072056\n", + "44. 3.75111590054954\n", + "45. 1.51593921526712\n", + "46. 0.625434103331985\n", + "47. 3.11267884855662\n", + "48. 7.29764058140757\n", + "49. 4.01105134267083\n", + "50. 6.27692339383445\n", + "51. 2.01343394080398\n", + "52. 5.53439481830898\n", + "53. 2.94726427409392\n", + "54. 2.37395658106814\n", + "55. 5.11400146634826\n", + "56. 3.6827471135617\n", + "57. 6.60563725894374\n", + "58. 5.11776739226376\n", + "59. 4.99925209070633\n", + "60. 5.65779944366004\n", + "61. 2.85448175193555\n", + "62. 5.90426934856698\n", + "63. 5.44734817776023\n", + "64. 4.25330216336165\n", + "65. 4.77258198316229\n", + "66. 7.10930315065136\n", + "67. 8.33484672521262\n", + "68. 4.69155532319955\n", + "69. 7.53397053176733\n", + "70. 1.05166909995143\n", + "71. 11.3583591366271\n", + "72. 4.02324198861548\n", + "73. 1.40577147551539\n", + "74. 2.13919522049059\n", + "75. 10.685413072923\n", + "76. 1.98551492447795\n", + "77. 6.3151375128818\n", + "78. 4.11062216783545\n", + "79. 6.84946236527941\n", + "80. 3.71271612244497\n", + "81. 3.27749038033578\n", + "82. 1.50625313742469\n", + "83. 4.71662979399169\n", + "84. 6.15926292824402\n", + "85. 1.77144631793921\n", + "86. 6.85291830518135\n", + "87. 7.64658737756586\n", + "88. 4.73975747682277\n", + "89. 7.89210365476082\n", + "90. 9.7159048067218\n", + "91. 5.07934021434514\n", + "92. 1.22994295300279\n", + "93. 7.77369192840245\n", + "94. 3.15597707149204\n", + "95. 6.59413598353261\n", + "96. 7.82252716810622\n", + "97. 2.6458470248106\n", + "98. 2.12413638040179\n", + "99. 6.72228952125879\n", + "100. 5.11783388887748\n", + "\n", + "\n", + "\n", + "31. 1. 1.66661775150594\n", + "2. 3.51290631079647\n", + "3. 1.11899805235924\n", + "4. 7.2824930755079\n", + "5. 3.82410488519548\n", + "6. 1.98303119790165\n", + "7. 7.92952864141891\n", + "8. 2.1701134461328\n", + "9. 10.3183854925972\n", + "10. 1.75661447599234\n", + "11. 3.59656742902212\n", + "12. 5.1423743875415\n", + "13. 8.69853855786342\n", + "14. 11.6309274330588\n", + "15. 1.17790333771614\n", + "16. 5.67556116512662\n", + "17. 7.93310060863642\n", + "18. 8.48655795306775\n", + "19. 0.914685051271025\n", + "20. 0.798921708563438\n", + "21. 7.03812457207887\n", + "22. 1.38678835277507\n", + "23. 3.48280976030118\n", + "24. 4.5959505926748\n", + "25. 3.96072066216807\n", + "26. 6.5634602523485\n", + "27. 1.1536579532249\n", + "28. 8.47774332444975\n", + "29. 5.98894683307323\n", + "30. 9.17327529420458\n", + "31. 1.23704829097086\n", + "32. 4.52477710459844\n", + "33. 0.986550654573932\n", + "34. 4.09679982513295\n", + "35. 3.16212206799784\n", + "36. 1.35120407261272\n", + "37. 2.27797403883127\n", + "38. 5.76329523471552\n", + "39. 5.43391974459998\n", + "40. 9.33940280389176\n", + "41. 3.38172857599084\n", + "42. 1.51715776597393\n", + "43. 1.03192634329214\n", + "44. 0.76744528355239\n", + "45. 3.79044137516953\n", + "46. 3.40098195095008\n", + "47. 8.47856198981554\n", + "48. 5.11515642222309\n", + "49. 8.07212100793073\n", + "50. 1.02877890824651\n", + "51. 6.01815055323356\n", + "52. 1.3596609485333\n", + "53. 4.66763527222765\n", + "54. 1.47702012400562\n", + "55. 1.30732039360149\n", + "56. 1.24446547411927\n", + "57. 4.17548332931311\n", + "58. 1.78876749017121\n", + "59. 9.49917676851923\n", + "60. 1.00315327363425\n", + "61. 2.34219268831405\n", + "62. 1.39143050891201\n", + "63. 6.33312481812324\n", + "64. 1.9347880369137\n", + "65. 7.18805686755654\n", + "66. 2.427611258724\n", + "67. 9.13099863014061\n", + "68. 1.1239103938594\n", + "69. 3.77328723220969\n", + "70. 5.31221120134184\n", + "71. 8.68525026578386\n", + "72. 1.63336625208086\n", + "73. 1.10349911395085\n", + "74. 5.38668982785798\n", + "75. 1.16648409818056\n", + "76. 0.738378205690694\n", + "77. 4.77913738011433\n", + "78. 6.225593667026\n", + "79. 7.74508680791181\n", + "80. 1.12584983745217\n", + "81. 1.76302502383472\n", + "82. 4.93165734171116\n", + "83. 1.37960030742681\n", + "84. 6.37967858433325\n", + "85. 2.61831426694477\n", + "86. 1.71490269994145\n", + "87. 4.09247665706896\n", + "88. 7.79468885209342\n", + "89. 0.967838171724547\n", + "90. 4.74649214317364\n", + "91. 8.96294107939315\n", + "92. 1.7829792609052\n", + "93. 3.74641964881568\n", + "94. 2.9587477722163\n", + "95. 2.53594699499802\n", + "96. 4.91768524090689\n", + "97. 5.14183498284891\n", + "98. 5.6855733761053\n", + "99. 7.22832095600838\n", + "100. 5.83709110527636\n", + "\n", + "\n", + "\n", + "32. 1. 2.8659978471178\n", + "2. 6.11439402983986\n", + "3. 5.07495116566086\n", + "4. 3.91983568931388\n", + "5. 7.96331538030597\n", + "6. 5.05043605022813\n", + "7. 7.11579447929148\n", + "8. 7.14564837551628\n", + "9. 5.13801481675435\n", + "10. 8.28625608280362\n", + "11. 8.11221245874115\n", + "12. 2.47770616683048\n", + "13. 9.4203409490039\n", + "14. 5.4716954077414\n", + "15. 5.43900712251864\n", + "16. 7.70496103797732\n", + "17. 7.07869178031433\n", + "18. 10.3176220738533\n", + "19. 5.8985548736426\n", + "20. 3.69356119568217\n", + "21. 8.43587594304584\n", + "22. 7.59422553593548\n", + "23. 7.858155393021\n", + "24. 12.1375117277225\n", + "25. 1.54448597979878\n", + "26. 3.58064083787762\n", + "27. 5.29252737306601\n", + "28. 10.1063597196262\n", + "29. 8.82674519472388\n", + "30. 7.88903832149005\n", + "31. 4.21819008254381\n", + "32. 1.99104801843503\n", + "33. 5.3563716849545\n", + "34. 7.75534702733482\n", + "35. 6.18533164508601\n", + "36. 6.35211465346884\n", + "37. 4.05518962260218\n", + "38. 9.02227524473069\n", + "39. 4.61066876159948\n", + "40. 5.45281257094742\n", + "41. 3.06480871627259\n", + "42. 1.11189460463274\n", + "43. 9.23820282850272\n", + "44. 1.84177090788202\n", + "45. 3.14794854700811\n", + "46. 7.2014090430923\n", + "47. 6.57789809359243\n", + "48. 7.13504273641723\n", + "49. 2.23267304169924\n", + "50. 8.99097407451996\n", + "51. 1.7227301767612\n", + "52. 6.07018327193363\n", + "53. 5.35916658033405\n", + "54. 9.5000975800132\n", + "55. 5.47056749301282\n", + "56. 6.16211197108809\n", + "57. 1.17353841408067\n", + "58. 2.99269102530517\n", + "59. 6.44131510402032\n", + "60. 1.07537352661211\n", + "61. 4.82545360829178\n", + "62. 7.5911046944608\n", + "63. 11.1215711026168\n", + "64. 7.3080316077967\n", + "65. 5.41447842535223\n", + "66. 4.83373814982619\n", + "67. 4.21975545803353\n", + "68. 8.68748656159984\n", + "69. 4.85915992101648\n", + "70. 5.79143996099193\n", + "71. 4.67979904387169\n", + "72. 10.4591112448786\n", + "73. 7.09235448152778\n", + "74. 12.350595227348\n", + "75. 6.31164894551608\n", + "76. 6.27836451779799\n", + "77. 6.78238597329589\n", + "78. 6.41468220149285\n", + "79. 4.51740112303926\n", + "80. 7.20273460958118\n", + "81. 10.0346724316935\n", + "82. 3.4252537306383\n", + "83. 1.80068668536893\n", + "84. 9.4625260674129\n", + "85. 4.37739640934315\n", + "86. 4.44245610455965\n", + "87. 8.56753824110145\n", + "88. 7.08561550976748\n", + "89. 5.00609391497844\n", + "90. 3.84652691288615\n", + "91. 3.73034730037369\n", + "92. 5.96109310214449\n", + "93. 4.04291058800325\n", + "94. 11.8398850097781\n", + "95. 6.09748034628734\n", + "96. 3.32090044090039\n", + "97. 8.20575953041127\n", + "98. 5.89464441364333\n", + "99. 4.4231422805023\n", + "100. 8.79726646196927\n", + "\n", + "\n", + "\n", + "33. 1. 1.87448409432733\n", + "2. 8.38989643221081\n", + "3. 1.64915499298577\n", + "4. 2.35996598018091\n", + "5. 2.90959604341973\n", + "6. 4.23798701779922\n", + "7. 3.48301339971148\n", + "8. 2.07796569645838\n", + "9. 7.97848618098669\n", + "10. 1.15217572677735\n", + "11. 1.27706192245387\n", + "12. 2.51565725310297\n", + "13. 3.89058536423422\n", + "14. 4.43721178248965\n", + "15. 1.88456091885011\n", + "16. 5.53395102525687\n", + "17. 5.60971872793345\n", + "18. 3.18499182169185\n", + "19. 6.47217663118086\n", + "20. 4.4887581142138\n", + "21. 4.98790853018703\n", + "22. 2.99617057712366\n", + "23. 1.62543120245627\n", + "24. 5.43597299939946\n", + "25. 6.29400842962452\n", + "26. 4.64662767512684\n", + "27. 4.51696453012337\n", + "28. 5.01479105642062\n", + "29. 3.42271177920257\n", + "30. 3.73491060121845\n", + "31. 3.78313592644454\n", + "32. 4.26521252979668\n", + "33. 3.45664998171301\n", + "34. 5.16525805388371\n", + "35. 4.64017324007872\n", + "36. 7.16702214689354\n", + "37. 4.39708020732074\n", + "38. 1.82419058395342\n", + "39. 5.49437236715789\n", + "40. 2.64589663044881\n", + "41. 13.1401182112038\n", + "42. 1.06426749480615\n", + "43. 5.44445571566381\n", + "44. 6.35080012191072\n", + "45. 5.22513016153046\n", + "46. 7.28012676309212\n", + "47. 6.47997234519783\n", + "48. 11.7723649641218\n", + "49. 1.77012682700832\n", + "50. 1.56729375031437\n", + "51. 3.81583522236241\n", + "52. 0.899940768077359\n", + "53. 6.45059438239245\n", + "54. 3.5499154066431\n", + "55. 3.96502315811382\n", + "56. 4.41588010131878\n", + "57. 1.72212118194013\n", + "58. 1.44747463413892\n", + "59. 1.28083229700481\n", + "60. 7.55992234900553\n", + "61. 1.65881041454025\n", + "62. 2.20830214387581\n", + "63. 5.69682077266369\n", + "64. 2.44177530123266\n", + "65. 8.32080399095265\n", + "66. 1.77397395900335\n", + "67. 6.82697003481482\n", + "68. 5.29821205619303\n", + "69. 9.87257253725489\n", + "70. 4.49284735474482\n", + "71. 7.77885040026402\n", + "72. 7.41988383895846\n", + "73. 4.08697166358704\n", + "74. 10.1243707526436\n", + "75. 4.60099849341093\n", + "76. 4.41385978137039\n", + "77. 4.21544895836644\n", + "78. 6.75272145422017\n", + "79. 4.87563355716864\n", + "80. 2.03419646382096\n", + "81. 1.37256616940593\n", + "82. 6.29614309899218\n", + "83. 4.1296277780681\n", + "84. 7.24299426492461\n", + "85. 1.48927058230776\n", + "86. 1.61139899506874\n", + "87. 3.39082305508878\n", + "88. 5.55629374300689\n", + "89. 3.6835609901334\n", + "90. 4.56367518924395\n", + "91. 9.63554994384341\n", + "92. 3.64981848705697\n", + "93. 4.25510949334\n", + "94. 4.22679103253348\n", + "95. 6.95979977370664\n", + "96. 1.69922627261801\n", + "97. 1.73720163410881\n", + "98. 2.97960830124829\n", + "99. 5.50627623382225\n", + "100. 3.7368246005426\n", + "\n", + "\n", + "\n", + "34. 1. 5.66809238988948\n", + "2. 1.76174569065214\n", + "3. 3.91896460097772\n", + "4. 4.56211332060483\n", + "5. 3.07562412340705\n", + "6. 6.75127597658541\n", + "7. 3.80503410109318\n", + "8. 6.28265799508616\n", + "9. 5.07181577523927\n", + "10. 4.22791157531953\n", + "11. 4.83319015366274\n", + "12. 3.33499826909096\n", + "13. 5.86732755206183\n", + "14. 8.27904738028796\n", + "15. 5.28656005754985\n", + "16. 5.71498853485514\n", + "17. 1.21240760256275\n", + "18. 4.83516012066667\n", + "19. 6.58548265233602\n", + "20. 7.00575779209435\n", + "21. 3.24517351686216\n", + "22. 2.65515623877347\n", + "23. 3.28574767576008\n", + "24. 5.84857065606058\n", + "25. 6.97872165386862\n", + "26. 6.22815043891306\n", + "27. 4.73399039449635\n", + "28. 3.35821582411035\n", + "29. 4.46394915615549\n", + "30. 6.57426801234098\n", + "31. 2.95751649404697\n", + "32. 2.01212534657424\n", + "33. 4.78385372192565\n", + "34. 3.42752646210458\n", + "35. 3.40119903576827\n", + "36. 4.49846637729684\n", + "37. 3.75062582673124\n", + "38. 5.4057927541981\n", + "39. 7.25520038574312\n", + "40. 2.32946868627267\n", + "41. 4.87133279358218\n", + "42. 5.07112940311213\n", + "43. 8.35733189055967\n", + "44. 1.66242241494041\n", + "45. 6.70168541545143\n", + "46. 7.86078190955093\n", + "47. 2.34422883656724\n", + "48. 3.72943253444003\n", + "49. 1.67571695354466\n", + "50. 5.42775648929238\n", + "51. 7.4706474920854\n", + "52. 3.60335601298037\n", + "53. 5.54545543546175\n", + "54. 2.9133231849675\n", + "55. 6.13699030204556\n", + "56. 5.57026517131724\n", + "57. 6.49184780072515\n", + "58. 3.40835238479085\n", + "59. 0.974046472993806\n", + "60. 4.26001720197908\n", + "61. 6.33601401249885\n", + "62. 4.01620628778985\n", + "63. 2.5847777180966\n", + "64. 0.858972078744353\n", + "65. 6.5715740427427\n", + "66. 5.63777202567633\n", + "67. 4.48036280605257\n", + "68. 3.37289607256058\n", + "69. 6.7577655103321\n", + "70. 6.29143900472091\n", + "71. 6.73915338580624\n", + "72. 7.94439503288163\n", + "73. 4.42426620498224\n", + "74. 3.78659864991867\n", + "75. 2.44093364319433\n", + "76. 6.63212206536425\n", + "77. 3.45588054764909\n", + "78. 5.7984405594132\n", + "79. 2.65717192557749\n", + "80. 2.92694520669101\n", + "81. 7.2793218255504\n", + "82. 3.32143451142357\n", + "83. 4.31727359404069\n", + "84. 1.8235999758556\n", + "85. 3.04045452492907\n", + "86. 3.66739333467925\n", + "87. 5.56655003138098\n", + "88. 4.75188398536975\n", + "89. 4.48985835511887\n", + "90. 4.13695392532692\n", + "91. 4.77742584610969\n", + "92. 2.67999591450467\n", + "93. 3.12056490621675\n", + "94. 7.2193224744635\n", + "95. 7.03219756792487\n", + "96. 3.52281135516257\n", + "97. 6.14054875023275\n", + "98. 5.32295246830821\n", + "99. 8.44788543173213\n", + "100. 3.09631522759534\n", + "\n", + "\n", + "\n", + "35. 1. 5.41435127186712\n", + "2. 5.49116834825408\n", + "3. 3.39141304331405\n", + "4. 2.19713155046025\n", + "5. 7.02178645071143\n", + "6. 3.33250322287156\n", + "7. 3.76758011027411\n", + "8. 4.68398042470656\n", + "9. 4.41204320048217\n", + "10. 2.73792695559336\n", + "11. 5.21997922924642\n", + "12. 1.3375203277451\n", + "13. 3.1470439975494\n", + "14. 2.27036697701823\n", + "15. 2.3987020317361\n", + "16. 2.53905884102553\n", + "17. 3.00305109943597\n", + "18. 5.54941849275023\n", + "19. 5.08854183068147\n", + "20. 1.65918075836145\n", + "21. 2.94523287489372\n", + "22. 1.31548412756242\n", + "23. 2.84560235821455\n", + "24. 1.03825779581153\n", + "25. 2.01925872407085\n", + "26. 1.54277546701909\n", + "27. 2.56233500218431\n", + "28. 2.12206681879828\n", + "29. 0.646798945824959\n", + "30. 5.2382730082964\n", + "31. 1.34757892698612\n", + "32. 4.25038547605613\n", + "33. 3.45245834054575\n", + "34. 1.31528295281534\n", + "35. 5.16472051190016\n", + "36. 4.34632340525329\n", + "37. 6.21100422041754\n", + "38. 5.37728407907106\n", + "39. 3.87121305139416\n", + "40. 4.3634316447876\n", + "41. 4.89259997943065\n", + "42. 3.3206930746015\n", + "43. 4.76252576674138\n", + "44. 1.41279232722152\n", + "45. 2.70225559402602\n", + "46. 5.14068121808769\n", + "47. 1.47885254061438\n", + "48. 2.57179510213603\n", + "49. 4.94030275131633\n", + "50. 1.71069121973919\n", + "51. 3.24181525459646\n", + "52. 4.43591351117539\n", + "53. 2.59393332213923\n", + "54. 4.85542389020223\n", + "55. 6.29846574627197\n", + "56. 3.26123793191132\n", + "57. 5.19218104410878\n", + "58. 3.45207562567349\n", + "59. 1.6878517571465\n", + "60. 3.17411147642654\n", + "61. 8.1194883571289\n", + "62. 3.09998667335163\n", + "63. 5.43046440607988\n", + "64. 5.49598569542791\n", + "65. 6.32221840043244\n", + "66. 5.9537653137668\n", + "67. 3.33039693577786\n", + "68. 1.24955333742441\n", + "69. 1.54407479527502\n", + "70. 3.35878364749199\n", + "71. 7.41380914058177\n", + "72. 7.35275163152332\n", + "73. 2.13319193494933\n", + "74. 4.61638491112566\n", + "75. 6.11189226367182\n", + "76. 3.91784962619168\n", + "77. 4.04724739771775\n", + "78. 1.52473512264158\n", + "79. 4.87499628626516\n", + "80. 2.12344884540382\n", + "81. 4.64572973514897\n", + "82. 3.06602454965013\n", + "83. 4.11866173029755\n", + "84. 4.34250575537231\n", + "85. 2.91441988741054\n", + "86. 2.79042829024234\n", + "87. 4.87565095318012\n", + "88. 1.33582989714082\n", + "89. 2.3028966551965\n", + "90. 3.34441569139686\n", + "91. 4.75623123468724\n", + "92. 5.32201109820859\n", + "93. 2.74116734775544\n", + "94. 1.70061884476999\n", + "95. 2.44073659758545\n", + "96. 1.8045865120562\n", + "97. 3.06905440092727\n", + "98. 4.72829777755551\n", + "99. 4.29874579896363\n", + "100. 4.82030285963763\n", + "\n", + "\n", + "\n", + "36. 1. 4.59192763219989\n", + "2. 4.89008805317624\n", + "3. 0.471362570551949\n", + "4. 5.73501565061366\n", + "5. 6.80798430210653\n", + "6. 7.19263663231532\n", + "7. 2.88861237879651\n", + "8. 8.76236955668486\n", + "9. 6.90159903763767\n", + "10. 3.68465167102593\n", + "11. 5.37672240045604\n", + "12. 2.05342900855854\n", + "13. 1.55718843180945\n", + "14. 7.47764098796934\n", + "15. 5.20976261916338\n", + "16. 1.15222561363504\n", + "17. 1.18911501017845\n", + "18. 1.26727100664616\n", + "19. 6.17409839712638\n", + "20. 3.97198288512364\n", + "21. 6.78513700629403\n", + "22. 1.62474981465499\n", + "23. 7.43147664549621\n", + "24. 6.21915793370953\n", + "25. 3.63833007948255\n", + "26. 2.19276713986591\n", + "27. 5.72507329814638\n", + "28. 1.62456408890297\n", + "29. 1.90390191163477\n", + "30. 2.32233248720152\n", + "31. 4.15805128455854\n", + "32. 4.79146471015059\n", + "33. 1.2388887374667\n", + "34. 3.71090971585491\n", + "35. 1.90367610499688\n", + "36. 6.76082149341562\n", + "37. 4.86751702834967\n", + "38. 9.97193168406598\n", + "39. 6.87302172351436\n", + "40. 7.24612091911469\n", + "41. 7.31864703407606\n", + "42. 6.50879093173034\n", + "43. 5.11531688882311\n", + "44. 1.33350250816629\n", + "45. 4.59921430762825\n", + "46. 4.1177497572616\n", + "47. 0.964430157599968\n", + "48. 4.75719864045213\n", + "49. 1.82848896397055\n", + "50. 2.50294807729316\n", + "51. 3.04397339737794\n", + "52. 6.43139801248781\n", + "53. 8.79551068761203\n", + "54. 1.80795408678784\n", + "55. 4.40382110699014\n", + "56. 5.94971218074888\n", + "57. 2.00637673297929\n", + "58. 4.69712901165369\n", + "59. 4.33408721800712\n", + "60. 2.76431772860606\n", + "61. 3.94100042117539\n", + "62. 2.12522486428143\n", + "63. 1.23382369164749\n", + "64. 2.00505448380144\n", + "65. 4.46549106669041\n", + "66. 6.32176905309733\n", + "67. 6.70193746997167\n", + "68. 5.4124295430614\n", + "69. 3.88458792441992\n", + "70. 1.71725635833392\n", + "71. 3.84723358810507\n", + "72. 4.89242078134464\n", + "73. 6.93916566556062\n", + "74. 0.694385996694704\n", + "75. 3.92457428582403\n", + "76. 5.41391665611576\n", + "77. 0.866058386291908\n", + "78. 5.15539937799799\n", + "79. 4.89156941768068\n", + "80. 4.54277024269905\n", + "81. 4.47604593526231\n", + "82. 6.02451588250111\n", + "83. 6.90617178706566\n", + "84. 5.37812196496583\n", + "85. 4.18389456115253\n", + "86. 8.88988852162458\n", + "87. 4.73668536412401\n", + "88. 2.92356213621937\n", + "89. 5.25564316314736\n", + "90. 2.30417001351622\n", + "91. 5.16434631345019\n", + "92. 1.33020522146949\n", + "93. 1.84554971635676\n", + "94. 6.42328007606242\n", + "95. 4.04221601626138\n", + "96. 6.62369115692539\n", + "97. 4.5001417868876\n", + "98. 1.25242111750946\n", + "99. 3.73371457757802\n", + "100. 7.61905685783144\n", + "\n", + "\n", + "\n", + "37. 1. 3.49899152044488\n", + "2. 3.41292540764704\n", + "3. 5.62338399555076\n", + "4. 8.71007837331506\n", + "5. 8.3212190889567\n", + "6. 7.44385824814559\n", + "7. 7.11211311579767\n", + "8. 6.93875437842439\n", + "9. 4.00837086690818\n", + "10. 6.04475791247327\n", + "11. 5.07179313497675\n", + "12. 5.71248363944745\n", + "13. 5.54620029904397\n", + "14. 4.72453297559083\n", + "15. 4.79401927987597\n", + "16. 12.6637047473539\n", + "17. 6.20190039014298\n", + "18. 10.7007989368061\n", + "19. 11.5485694338459\n", + "20. 4.63551830772041\n", + "21. 5.83063867295431\n", + "22. 5.58455317436848\n", + "23. 1.59729565706855\n", + "24. 4.42811477319318\n", + "25. 5.00979712850279\n", + "26. 9.03070624394595\n", + "27. 5.84104295927963\n", + "28. 4.60013945896351\n", + "29. 4.37609521041852\n", + "30. 6.24980176411682\n", + "31. 3.94216737050649\n", + "32. 4.42156135546465\n", + "33. 2.80384708347656\n", + "34. 6.87135494366873\n", + "35. 4.50005213672535\n", + "36. 5.67428180533582\n", + "37. 9.41658531721494\n", + "38. 10.9083332943471\n", + "39. 7.50165578870991\n", + "40. 12.150342314412\n", + "41. 8.38994381958497\n", + "42. 6.63056030005977\n", + "43. 9.153386719644\n", + "44. 6.47498760734091\n", + "45. 2.44803961657678\n", + "46. 5.73837606850553\n", + "47. 8.73874934413781\n", + "48. 5.52245630108403\n", + "49. 6.59423408096222\n", + "50. 8.09727634182239\n", + "51. 5.30397907399006\n", + "52. 4.32534410156819\n", + "53. 7.91638127930373\n", + "54. 6.16847535516235\n", + "55. 4.97271977633549\n", + "56. 6.64161212459678\n", + "57. 6.54676098058308\n", + "58. 7.74159314820915\n", + "59. 3.86476094527055\n", + "60. 8.299683424665\n", + "61. 5.35828198371256\n", + "62. 4.64509679735905\n", + "63. 6.0222582234044\n", + "64. 7.07582019560734\n", + "65. 5.68474922906425\n", + "66. 4.02696636606233\n", + "67. 7.28614728575143\n", + "68. 5.48306158408922\n", + "69. 4.82630193110504\n", + "70. 6.32958063117068\n", + "71. 6.85465917748582\n", + "72. 6.28804642904829\n", + "73. 6.16201207441487\n", + "74. 7.69085707354229\n", + "75. 5.89533084897391\n", + "76. 7.24289396484357\n", + "77. 2.50368236809298\n", + "78. 8.79473805663568\n", + "79. 4.34063478333462\n", + "80. 4.3605414594241\n", + "81. 2.99873313706646\n", + "82. 11.2002364837386\n", + "83. 3.47839416902185\n", + "84. 6.70925496161457\n", + "85. 7.5158530839794\n", + "86. 2.78097686956886\n", + "87. 6.96097203680242\n", + "88. 6.88456811274246\n", + "89. 1.24284552236951\n", + "90. 6.2135486071205\n", + "91. 5.13017755635937\n", + "92. 3.63483045596772\n", + "93. 8.71926723528222\n", + "94. 7.06432707011138\n", + "95. 7.19184847239579\n", + "96. 8.21839848816353\n", + "97. 5.34245101193538\n", + "98. 4.87823711455918\n", + "99. 5.39765678847515\n", + "100. 5.1891500822503\n", + "\n", + "\n", + "\n", + "38. 1. 10.3071922007093\n", + "2. 5.3063101877822\n", + "3. 4.70183267727841\n", + "4. 4.52541308997556\n", + "5. 4.10477613438505\n", + "6. 8.91792750959634\n", + "7. 10.5658483921186\n", + "8. 11.3662765894056\n", + "9. 6.85429377838994\n", + "10. 5.83432776980264\n", + "11. 4.37227327997654\n", + "12. 3.67878218472665\n", + "13. 8.85277780672673\n", + "14. 7.86903604604269\n", + "15. 8.69280369297567\n", + "16. 8.39462857410449\n", + "17. 6.73402116655669\n", + "18. 6.73704920530041\n", + "19. 1.21068033094558\n", + "20. 5.66362373196668\n", + "21. 9.64204868257579\n", + "22. 6.36737879138291\n", + "23. 4.67654228318744\n", + "24. 11.943534798038\n", + "25. 6.75839521113604\n", + "26. 4.1390714200587\n", + "27. 4.07854974507162\n", + "28. 5.57464986428516\n", + "29. 12.0948709799351\n", + "30. 3.89277925165496\n", + "31. 4.09067942842367\n", + "32. 5.99977866442563\n", + "33. 2.29908473550271\n", + "34. 6.43409722924913\n", + "35. 2.69251625489604\n", + "36. 5.71112903296771\n", + "37. 5.2069113244542\n", + "38. 3.32434550296241\n", + "39. 8.07917493243103\n", + "40. 1.52430642402403\n", + "41. 2.23083261585516\n", + "42. 11.7652083165075\n", + "43. 9.3217322993755\n", + "44. 5.60083758198166\n", + "45. 8.58414389614531\n", + "46. 6.72603354086283\n", + "47. 5.64767006770719\n", + "48. 5.93785664074269\n", + "49. 1.65174696997956\n", + "50. 2.01930803114172\n", + "51. 5.22207746488266\n", + "52. 9.96400875898258\n", + "53. 4.77049585574049\n", + "54. 1.16074484668091\n", + "55. 7.3207934382551\n", + "56. 4.39401850032314\n", + "57. 10.4775104426521\n", + "58. 4.85573018842496\n", + "59. 2.68369839092601\n", + "60. 12.6055572855224\n", + "61. 5.12759329728295\n", + "62. 8.61603498014667\n", + "63. 12.4122611369767\n", + "64. 7.92980861350992\n", + "65. 0.776269306378419\n", + "66. 7.07853983852833\n", + "67. 7.74542166963172\n", + "68. 4.56383544743322\n", + "69. 4.38805534586693\n", + "70. 10.3316906825958\n", + "71. 7.52278986266127\n", + "72. 1.90874872060713\n", + "73. 4.87708234596764\n", + "74. 7.14594846858769\n", + "75. 3.96494546719842\n", + "76. 5.75264990974034\n", + "77. 9.31026242591954\n", + "78. 6.30422529727126\n", + "79. 9.41604074283056\n", + "80. 1.82955043751907\n", + "81. 1.73729775835335\n", + "82. 6.86306958745639\n", + "83. 5.41010595902302\n", + "84. 4.78977922610615\n", + "85. 6.85676966341311\n", + "86. 4.32754814809835\n", + "87. 6.6512202549403\n", + "88. 5.02068435285231\n", + "89. 2.99477206627896\n", + "90. 4.01597601583446\n", + "91. 5.00257081603282\n", + "92. 4.93497268287495\n", + "93. 7.5226571144201\n", + "94. 4.08597809010653\n", + "95. 1.92164090656381\n", + "96. 1.15590953103989\n", + "97. 6.93335721416266\n", + "98. 7.86003595386204\n", + "99. 3.52033534764579\n", + "100. 1.49868562635292\n", + "\n", + "\n", + "\n", + "39. 1. 8.21044597627482\n", + "2. 2.12297824523086\n", + "3. 3.27863579499007\n", + "4. 4.66765112549241\n", + "5. 5.24483986431313\n", + "6. 1.44275937835187\n", + "7. 2.79447795553269\n", + "8. 1.17501789137443\n", + "9. 1.87352159964041\n", + "10. 5.95644359463787\n", + "11. 5.93925753953988\n", + "12. 5.84192045904392\n", + "13. 4.722205056727\n", + "14. 6.30066239056073\n", + "15. 3.7430113081536\n", + "16. 1.85299994160528\n", + "17. 2.07169677124198\n", + "18. 3.70881326574776\n", + "19. 0.917946745014837\n", + "20. 5.52149054835535\n", + "21. 7.54152909083201\n", + "22. 2.9466215461815\n", + "23. 4.14728140286123\n", + "24. 8.70101335594331\n", + "25. 3.4157479750489\n", + "26. 6.44046581491497\n", + "27. 8.33053667340736\n", + "28. 3.01107829470914\n", + "29. 3.76427426685225\n", + "30. 0.957049971868863\n", + "31. 3.76244889187146\n", + "32. 1.3740260281841\n", + "33. 0.869740456938242\n", + "34. 5.45522294977186\n", + "35. 1.90766243758219\n", + "36. 2.62707327430599\n", + "37. 4.78462596944855\n", + "38. 2.76236426444299\n", + "39. 3.26032469824527\n", + "40. 3.18316975976168\n", + "41. 5.79459532167925\n", + "42. 3.87816607815444\n", + "43. 4.32109207543391\n", + "44. 4.48349601929854\n", + "45. 1.91047320912619\n", + "46. 5.43112597280336\n", + "47. 4.56584434370459\n", + "48. 5.4422255802442\n", + "49. 1.34114719055126\n", + "50. 1.87519247773958\n", + "51. 3.97894429701025\n", + "52. 3.50907012616111\n", + "53. 6.40170088747957\n", + "54. 2.16200487218358\n", + "55. 2.41904904684509\n", + "56. 3.90227340448158\n", + "57. 4.13303102306985\n", + "58. 3.95310482972833\n", + "59. 2.2205801079155\n", + "60. 1.97186416802363\n", + "61. 2.80661754859467\n", + "62. 2.09617011557374\n", + "63. 3.46614773532715\n", + "64. 2.77247001363575\n", + "65. 0.691767315741599\n", + "66. 0.990422285702017\n", + "67. 5.11251074790749\n", + "68. 4.38366818070275\n", + "69. 5.42926511702736\n", + "70. 4.1380629184038\n", + "71. 2.21954864946626\n", + "72. 3.35592322840233\n", + "73. 4.95357538415918\n", + "74. 2.86440445917435\n", + "75. 5.04224212488645\n", + "76. 6.30276070768465\n", + "77. 3.8431878697549\n", + "78. 6.90917696384316\n", + "79. 1.72399895095812\n", + "80. 2.88837871622469\n", + "81. 2.5957843612388\n", + "82. 2.48530497705895\n", + "83. 6.15397022835539\n", + "84. 7.7788055930079\n", + "85. 7.29281798813468\n", + "86. 3.91619581233788\n", + "87. 3.73503153376737\n", + "88. 2.03403256553973\n", + "89. 5.47765604296559\n", + "90. 2.43271053424929\n", + "91. 5.13472049200409\n", + "92. 5.62649863307106\n", + "93. 4.20956484442682\n", + "94. 2.14304038472786\n", + "95. 2.49224420728578\n", + "96. 3.99172476076678\n", + "97. 2.28770179668012\n", + "98. 0.651653469160938\n", + "99. 1.61613999777513\n", + "100. 2.72718810034028\n", + "\n", + "\n", + "\n", + "40. 1. 1.52728063230752\n", + "2. 5.97483160653709\n", + "3. 1.90918840867938\n", + "4. 1.14900136536727\n", + "5. 3.15965416925663\n", + "6. 4.50529669509202\n", + "7. 3.96289071364259\n", + "8. 2.8355570183432\n", + "9. 1.69299423410049\n", + "10. 2.60088731475634\n", + "11. 1.38458554770809\n", + "12. 3.85228562912636\n", + "13. 1.39949948276298\n", + "14. 0.820400286849157\n", + "15. 2.14645518185278\n", + "16. 1.5152231779029\n", + "17. 1.66642435042641\n", + "18. 0.653256769314719\n", + "19. 4.98255025882568\n", + "20. 4.06282169948417\n", + "21. 3.33825377057798\n", + "22. 2.07515990376414\n", + "23. 2.33145626674499\n", + "24. 3.24236303928639\n", + "25. 2.16726931920388\n", + "26. 1.87517207853874\n", + "27. 1.33775508542807\n", + "28. 4.12672302682243\n", + "29. 1.76355871408409\n", + "30. 1.32826497675075\n", + "31. 6.89478988596808\n", + "32. 2.66582255787953\n", + "33. 3.15214647684804\n", + "34. 2.51339271813775\n", + "35. 1.87817106900814\n", + "36. 1.80886264580832\n", + "37. 5.39724334368829\n", + "38. 3.69314986082816\n", + "39. 3.17425825212237\n", + "40. 4.46405322944695\n", + "41. 2.01330486417942\n", + "42. 3.653454288117\n", + "43. 3.96707424876612\n", + "44. 1.23571793899211\n", + "45. 1.41397294112023\n", + "46. 2.61170624437497\n", + "47. 2.68914729305486\n", + "48. 2.95044640345538\n", + "49. 0.896100385865284\n", + "50. 1.84837848068978\n", + "51. 2.92457031348393\n", + "52. 1.13163334765896\n", + "53. 4.26441442511001\n", + "54. 0.614698893051866\n", + "55. 2.8399153344506\n", + "56. 4.00280924414672\n", + "57. 2.80435973430342\n", + "58. 0.855769914263772\n", + "59. 1.53531036401578\n", + "60. 2.94673622480871\n", + "61. 4.01602534226976\n", + "62. 5.49936440434312\n", + "63. 1.59155021787539\n", + "64. 0.84715540990711\n", + "65. 3.28172809951164\n", + "66. 4.92932765942865\n", + "67. 2.52661265078964\n", + "68. 2.85192016989325\n", + "69. 4.357315848665\n", + "70. 1.42454730849268\n", + "71. 5.32096094864625\n", + "72. 5.52641492742209\n", + "73. 3.04325912194657\n", + "74. 4.18821857873772\n", + "75. 3.5513250598352\n", + "76. 1.43460901810113\n", + "77. 1.33409554426269\n", + "78. 1.18716314477648\n", + "79. 3.84126260401072\n", + "80. 8.00445668651304\n", + "81. 2.05599761458909\n", + "82. 0.855961449186826\n", + "83. 5.45810156978296\n", + "84. 3.94624110160624\n", + "85. 0.85913302185602\n", + "86. 4.25839773845215\n", + "87. 2.78989782131532\n", + "88. 1.3387921009389\n", + "89. 2.99187319654351\n", + "90. 1.51083095254737\n", + "91. 3.12524545446078\n", + "92. 2.04520280306867\n", + "93. 3.53260944332066\n", + "94. 0.954417641506546\n", + "95. 0.355178356117729\n", + "96. 3.56800193810623\n", + "97. 1.12597359304886\n", + "98. 2.72894440292137\n", + "99. 4.30416232029851\n", + "100. 1.04040385646362\n", + "\n", + "\n", + "\n", + "41. 1. 1.65876161271321\n", + "2. 3.95035248623516\n", + "3. 3.30372771953697\n", + "4. 2.48372229290825\n", + "5. 3.63341345075702\n", + "6. 5.42557336698886\n", + "7. 3.61282424041641\n", + "8. 0.908388729239339\n", + "9. 3.01284455205432\n", + "10. 2.91745595377978\n", + "11. 7.84265807058458\n", + "12. 0.890470568074648\n", + "13. 4.47244326200218\n", + "14. 0.918749459178299\n", + "15. 3.51475682480424\n", + "16. 4.80447420447104\n", + "17. 3.75793330910889\n", + "18. 3.67777380888193\n", + "19. 7.54831996181819\n", + "20. 8.58229608752437\n", + "21. 0.292823840761886\n", + "22. 6.91597171608765\n", + "23. 8.45073721750888\n", + "24. 1.34107714875392\n", + "25. 5.98694967561241\n", + "26. 0.649850308837558\n", + "27. 4.71198365688811\n", + "28. 2.60224260636443\n", + "29. 2.12094195355755\n", + "30. 0.413227747843072\n", + "31. 8.09615460767242\n", + "32. 5.13965600473532\n", + "33. 3.92913202455951\n", + "34. 1.37895561893129\n", + "35. 6.39467458446812\n", + "36. 6.87769426392006\n", + "37. 3.81454583200351\n", + "38. 2.43646910708711\n", + "39. 5.21848278278962\n", + "40. 1.49662223361711\n", + "41. 5.67530925491858\n", + "42. 3.545354133528\n", + "43. 1.88658466819946\n", + "44. 1.09603328933333\n", + "45. 3.06633505578029\n", + "46. 2.04213044630717\n", + "47. 1.70051161421517\n", + "48. 4.71905953811289\n", + "49. 6.97125430491842\n", + "50. 1.43857919400928\n", + "51. 0.467688468955949\n", + "52. 2.85456893573221\n", + "53. 5.28954520011325\n", + "54. 1.24394542311255\n", + "55. 1.56309595292984\n", + "56. 1.80744058757313\n", + "57. 3.1600395568936\n", + "58. 1.40080787361991\n", + "59. 2.80528781515528\n", + "60. 3.43134165109711\n", + "61. 0.599175782140382\n", + "62. 2.16652854114757\n", + "63. 1.51276169234599\n", + "64. 3.51308391837692\n", + "65. 4.01675740318575\n", + "66. 5.51763430226747\n", + "67. 3.61071940686636\n", + "68. 5.92842293419647\n", + "69. 0.927451784336212\n", + "70. 2.46320563918407\n", + "71. 5.31515820763075\n", + "72. 1.19572801351915\n", + "73. 3.39787112558058\n", + "74. 2.11429708162785\n", + "75. 6.76174832004662\n", + "76. 2.15845653688021\n", + "77. 4.14457309674835\n", + "78. 2.06442048909623\n", + "79. 1.98846309506375\n", + "80. 0.777268628337927\n", + "81. 6.15128612639781\n", + "82. 2.08780925707219\n", + "83. 4.08686787578281\n", + "84. 3.02610728708192\n", + "85. 2.3855848540531\n", + "86. 0.957410583818816\n", + "87. 4.53686541093175\n", + "88. 4.80666811042195\n", + "89. 0.472230224277693\n", + "90. 1.00281392467647\n", + "91. 6.17133930837118\n", + "92. 1.3056489511072\n", + "93. 4.48687507327418\n", + "94. 4.90327804885658\n", + "95. 5.97331697524552\n", + "96. 2.98844555226502\n", + "97. 4.03539731033953\n", + "98. 4.63580277638197\n", + "99. 5.10821394499273\n", + "100. 4.88168994240796\n", + "\n", + "\n", + "\n", + "42. 1. 1.42601607448415\n", + "2. 3.49889438417546\n", + "3. 1.70488396479098\n", + "4. 1.53018094501437\n", + "5. 1.59741962871806\n", + "6. 2.6716509466495\n", + "7. 1.28192461497326\n", + "8. 0.95236029107252\n", + "9. 8.0677823298212\n", + "10. 1.56951653799602\n", + "11. 1.43591397563559\n", + "12. 0.973481432053819\n", + "13. 4.03322929268592\n", + "14. 1.73261572171181\n", + "15. 2.1379543122494\n", + "16. 4.0425797557595\n", + "17. 1.19231149272026\n", + "18. 0.581814770161301\n", + "19. 1.7718069441468\n", + "20. 3.23771453330606\n", + "21. 8.47638612652402\n", + "22. 1.30162047921082\n", + "23. 3.08261692667759\n", + "24. 4.79250897006095\n", + "25. 0.867361425315125\n", + "26. 1.81641486366151\n", + "27. 2.41240443952155\n", + "28. 5.12513493692313\n", + "29. 1.7425093631807\n", + "30. 3.88726685965759\n", + "31. 0.727662328537147\n", + "32. 8.78111275777252\n", + "33. 4.34527709314956\n", + "34. 1.33050456558052\n", + "35. 4.22099886845587\n", + "36. 2.00177693523481\n", + "37. 5.62661897551154\n", + "38. 1.13774571794752\n", + "39. 6.51135205627264\n", + "40. 6.48340667009531\n", + "41. 1.10179811656418\n", + "42. 1.1826968720565\n", + "43. 1.49949627195\n", + "44. 2.57277851750029\n", + "45. 4.95959889964277\n", + "46. 2.55784925971987\n", + "47. 1.00765396782246\n", + "48. 7.47614834907433\n", + "49. 1.62428069719849\n", + "50. 4.96996138458567\n", + "51. 5.66437913068671\n", + "52. 4.51140016340707\n", + "53. 9.68608875883639\n", + "54. 0.850631334846571\n", + "55. 6.62922929391716\n", + "56. 4.53263596804823\n", + "57. 5.38560543732358\n", + "58. 5.34550633042158\n", + "59. 0.550307108485582\n", + "60. 6.19658803490635\n", + "61. 3.53900033343359\n", + "62. 0.691477647081637\n", + "63. 4.16178850017434\n", + "64. 4.31302694489974\n", + "65. 2.39703913491394\n", + "66. 5.0613911999598\n", + "67. 1.09575320162819\n", + "68. 4.24233004962265\n", + "69. 1.59520531929055\n", + "70. 4.30625257175589\n", + "71. 1.18161797088063\n", + "72. 1.56298451880814\n", + "73. 1.08026314186264\n", + "74. 1.88819038943771\n", + "75. 4.21553006023013\n", + "76. 3.7681190530378\n", + "77. 6.1710856019662\n", + "78. 1.21779786570953\n", + "79. 3.56721834774282\n", + "80. 1.78569472127212\n", + "81. 5.50474974241264\n", + "82. 1.60938693940341\n", + "83. 2.31594956041883\n", + "84. 1.89245764603531\n", + "85. 0.242080817299041\n", + "86. 9.05325483497628\n", + "87. 0.704739575539796\n", + "88. 0.980484634821618\n", + "89. 0.752468369109967\n", + "90. 1.56142011358653\n", + "91. 1.56588126210901\n", + "92. 2.66683570255972\n", + "93. 2.00277761582718\n", + "94. 1.12458912223455\n", + "95. 3.10579390157175\n", + "96. 2.4947421848368\n", + "97. 3.41709737993236\n", + "98. 2.81287446642708\n", + "99. 1.54695224974465\n", + "100. 1.21406561148909\n", + "\n", + "\n", + "\n", + "43. 1. 1.60935815933593\n", + "2. 3.08941077116885\n", + "3. 7.24482227795498\n", + "4. 2.81599902842978\n", + "5. 2.70362763549007\n", + "6. 7.01876135722173\n", + "7. 7.57939126380926\n", + "8. 6.38367366000523\n", + "9. 3.0003344881864\n", + "10. 6.42690623988166\n", + "11. 6.50193537816766\n", + "12. 3.83197037057429\n", + "13. 5.29504845979799\n", + "14. 8.47882079212783\n", + "15. 5.72198959557217\n", + "16. 3.01065046942606\n", + "17. 2.29167374711162\n", + "18. 1.79033114399832\n", + "19. 4.16277420489644\n", + "20. 6.12952643750979\n", + "21. 7.75675529264204\n", + "22. 7.06382745947052\n", + "23. 10.4967083335771\n", + "24. 6.62966125150488\n", + "25. 4.72341128724155\n", + "26. 2.44401293095102\n", + "27. 5.5009769004343\n", + "28. 3.7449259081196\n", + "29. 2.2181785151371\n", + "30. 4.36931494382326\n", + "31. 4.51213268960851\n", + "32. 4.70991171585644\n", + "33. 0.771225543425624\n", + "34. 8.3956197014459\n", + "35. 4.64204390143313\n", + "36. 7.22588179115389\n", + "37. 3.67465147694115\n", + "38. 2.35319882197491\n", + "39. 3.95412764073058\n", + "40. 3.05557458687945\n", + "41. 1.06136977384235\n", + "42. 1.10414114927098\n", + "43. 3.80671763424115\n", + "44. 6.56593053517776\n", + "45. 2.2859272881215\n", + "46. 4.85772804826695\n", + "47. 5.64204512341887\n", + "48. 12.7028608438782\n", + "49. 3.51021577769865\n", + "50. 7.46964066671176\n", + "51. 3.25146984059877\n", + "52. 1.2238133844369\n", + "53. 3.531368477219\n", + "54. 2.84699390584703\n", + "55. 6.89303000433363\n", + "56. 1.57012484086476\n", + "57. 3.00665567842771\n", + "58. 5.34360045513497\n", + "59. 5.99980284200712\n", + "60. 3.30171381494153\n", + "61. 4.08895948355512\n", + "62. 1.75781270777547\n", + "63. 6.35103639363328\n", + "64. 3.24257103068753\n", + "65. 6.92291666166106\n", + "66. 5.50284481908371\n", + "67. 5.48556056735227\n", + "68. 6.94382419397864\n", + "69. 7.36721485178826\n", + "70. 6.93550679352334\n", + "71. 4.52248077891755\n", + "72. 4.76858869600022\n", + "73. 6.12234358855916\n", + "74. 4.41875965875689\n", + "75. 6.50464718390954\n", + "76. 7.01902343379368\n", + "77. 3.23550518903875\n", + "78. 6.36434520682299\n", + "79. 3.87392079713327\n", + "80. 3.83887953464077\n", + "81. 5.32246872083362\n", + "82. 7.11821586634632\n", + "83. 6.59860168587465\n", + "84. 3.56699469006627\n", + "85. 5.71250451948427\n", + "86. 5.12373980299337\n", + "87. 5.44414360673614\n", + "88. 1.62909947453536\n", + "89. 4.05806162447887\n", + "90. 9.97978155053488\n", + "91. 7.2436415294921\n", + "92. 3.19194272137567\n", + "93. 7.51698274463233\n", + "94. 4.10826842992189\n", + "95. 7.12632098715913\n", + "96. 2.82407767527968\n", + "97. 2.38789120394266\n", + "98. 5.48608991667033\n", + "99. 4.57029952498179\n", + "100. 4.02837925493714\n", + "\n", + "\n", + "\n", + "44. 1. 3.96770764279359\n", + "2. 1.84384430699302\n", + "3. 5.98046825734285\n", + "4. 8.53320197904113\n", + "5. 6.68632904246098\n", + "6. 5.47798890889999\n", + "7. 6.00617403755337\n", + "8. 3.98361079790153\n", + "9. 4.49827768314385\n", + "10. 4.2014862037749\n", + "11. 3.5550252790245\n", + "12. 6.15614250767957\n", + "13. 4.94758146887726\n", + "14. 2.52428243270082\n", + "15. 5.77434916535954\n", + "16. 3.05031787415905\n", + "17. 1.13868752015668\n", + "18. 5.61517972172943\n", + "19. 8.68230593790517\n", + "20. 0.678703291298057\n", + "21. 4.10896841283879\n", + "22. 5.14427556614728\n", + "23. 9.10587941799841\n", + "24. 1.32307914404684\n", + "25. 7.0035915783559\n", + "26. 10.7754773356547\n", + "27. 5.39406014604606\n", + "28. 5.30315092174131\n", + "29. 5.68482816471271\n", + "30. 1.30933191449467\n", + "31. 8.22880270489307\n", + "32. 6.91009842091787\n", + "33. 5.08305184874442\n", + "34. 6.63242214820741\n", + "35. 4.60472692065068\n", + "36. 4.58081175045854\n", + "37. 2.21414084328352\n", + "38. 9.39522852702098\n", + "39. 8.02495212540278\n", + "40. 5.59265302558327\n", + "41. 7.36826536513434\n", + "42. 5.3013507833267\n", + "43. 7.02776327592195\n", + "44. 4.35446288801403\n", + "45. 4.30657235076332\n", + "46. 5.85060955887689\n", + "47. 1.43495909771081\n", + "48. 6.16689324095368\n", + "49. 5.03495296960499\n", + "50. 4.24474242107463\n", + "51. 6.35531953285994\n", + "52. 4.81238799389056\n", + "53. 10.1274010995922\n", + "54. 5.79115085554201\n", + "55. 6.07721826629059\n", + "56. 3.14270118086398\n", + "57. 7.92974090588387\n", + "58. 7.32524285022624\n", + "59. 4.92919491402353\n", + "60. 2.33000667335463\n", + "61. 4.58272455247033\n", + "62. 6.65009460256774\n", + "63. 2.78113246736193\n", + "64. 4.55226840827928\n", + "65. 4.69593358389311\n", + "66. 1.8426241324105\n", + "67. 7.04523702507912\n", + "68. 5.23059394009454\n", + "69. 6.65878216646572\n", + "70. 5.50361632605121\n", + "71. 2.63629252711034\n", + "72. 7.13306171127312\n", + "73. 3.51256601755333\n", + "74. 4.44311660742017\n", + "75. 7.62514930420877\n", + "76. 3.45056479187019\n", + "77. 1.26263893264647\n", + "78. 4.20336619449977\n", + "79. 5.68140902776034\n", + "80. 6.81207531751672\n", + "81. 4.13625987590658\n", + "82. 4.78667957646099\n", + "83. 9.70704736603664\n", + "84. 5.72014850289554\n", + "85. 7.0258593720656\n", + "86. 1.98425910444351\n", + "87. 4.48722884381986\n", + "88. 2.57815526361112\n", + "89. 6.37056129520436\n", + "90. 4.0032711495133\n", + "91. 1.75135546285519\n", + "92. 4.31717699791286\n", + "93. 4.49872615991751\n", + "94. 6.2657784191532\n", + "95. 1.98666089614979\n", + "96. 8.18321483034216\n", + "97. 5.76201160836943\n", + "98. 5.5017317044667\n", + "99. 5.59060653361817\n", + "100. 5.49860189320369\n", + "\n", + "\n", + "\n", + "45. 1. 3.7933829041436\n", + "2. 7.11097433883875\n", + "3. 5.08565956317553\n", + "4. 3.32446636441453\n", + "5. 3.89645811990704\n", + "6. 5.34503555254386\n", + "7. 2.56605817137071\n", + "8. 5.51627287433613\n", + "9. 4.02802248815699\n", + "10. 4.90640247923295\n", + "11. 7.00126387390358\n", + "12. 5.3210692867525\n", + "13. 1.43282033489618\n", + "14. 4.49034006451898\n", + "15. 5.07311667072315\n", + "16. 3.86485129170394\n", + "17. 3.84077005614403\n", + "18. 4.55733188445663\n", + "19. 4.38908039501566\n", + "20. 4.60464042247457\n", + "21. 3.97453039457527\n", + "22. 3.55514375540017\n", + "23. 3.59111479106405\n", + "24. 3.60990910386528\n", + "25. 2.1024841098165\n", + "26. 6.78687979150899\n", + "27. 2.24285535684183\n", + "28. 3.77633849901755\n", + "29. 4.22789692157203\n", + "30. 4.67493561827999\n", + "31. 2.23778782390296\n", + "32. 4.48803541000231\n", + "33. 3.67218761191339\n", + "34. 2.48605351104461\n", + "35. 3.76025210261902\n", + "36. 2.89431461156452\n", + "37. 2.8962800005555\n", + "38. 6.14387303006369\n", + "39. 2.92123244080596\n", + "40. 3.18584911327964\n", + "41. 2.24371642092875\n", + "42. 3.49963736445065\n", + "43. 1.04392264791194\n", + "44. 5.10171859811794\n", + "45. 3.47712696333531\n", + "46. 2.65469662161423\n", + "47. 4.99648844716957\n", + "48. 4.34822002398073\n", + "49. 4.74997292829849\n", + "50. 6.0779673696691\n", + "51. 4.70268979916441\n", + "52. 2.10895707086403\n", + "53. 7.02705416188597\n", + "54. 4.35725651223155\n", + "55. 3.55624217070611\n", + "56. 2.07765572117592\n", + "57. 2.52859305716372\n", + "58. 3.26403170665219\n", + "59. 5.49073012818284\n", + "60. 3.19415565165751\n", + "61. 3.83016887497222\n", + "62. 7.17614065379161\n", + "63. 5.1493001415345\n", + "64. 1.40386176762411\n", + "65. 1.67062061878358\n", + "66. 2.50387129834088\n", + "67. 2.19102898202548\n", + "68. 5.74587472966628\n", + "69. 2.72661030024921\n", + "70. 3.26853993892877\n", + "71. 3.80824023405911\n", + "72. 5.11301632066374\n", + "73. 5.21490490224518\n", + "74. 2.55418901122573\n", + "75. 5.67898212359002\n", + "76. 1.49173906858684\n", + "77. 1.86237612674432\n", + "78. 3.95497717068915\n", + "79. 5.7129189187268\n", + "80. 5.82126062552775\n", + "81. 1.833317828253\n", + "82. 2.57829746913706\n", + "83. 6.57407111389665\n", + "84. 4.70201073112197\n", + "85. 2.10331403344647\n", + "86. 5.56316774452536\n", + "87. 4.64913624129928\n", + "88. 2.87261248799456\n", + "89. 3.22512884557412\n", + "90. 4.32530720035364\n", + "91. 2.87819211373023\n", + "92. 2.07752903145897\n", + "93. 3.89745612684095\n", + "94. 2.89111596889573\n", + "95. 1.69391212752342\n", + "96. 4.36177554239545\n", + "97. 6.49944847516721\n", + "98. 2.59448746851135\n", + "99. 1.06410769736249\n", + "100. 4.91564871216112\n", + "\n", + "\n", + "\n", + "46. 1. 0.682213979494026\n", + "2. 5.60899816242478\n", + "3. 1.31241309822834\n", + "4. 2.18149309060167\n", + "5. 4.22635552227671\n", + "6. 3.97797210902308\n", + "7. 3.68768480085598\n", + "8. 1.67450390172749\n", + "9. 2.39863974823891\n", + "10. 3.21004440789013\n", + "11. 2.39697532248729\n", + "12. 6.19127924822461\n", + "13. 1.11696379129291\n", + "14. 2.26279959804361\n", + "15. 1.97907366027882\n", + "16. 1.29182641035932\n", + "17. 4.30542958470572\n", + "18. 1.17522806549358\n", + "19. 3.28544977875144\n", + "20. 3.79497281222645\n", + "21. 1.26829209432131\n", + "22. 0.770329678909796\n", + "23. 2.4822583527249\n", + "24. 3.24773092680064\n", + "25. 3.96897148037334\n", + "26. 1.89312446755669\n", + "27. 1.23423149461436\n", + "28. 2.32492968337474\n", + "29. 1.38266351981445\n", + "30. 1.73978005096357\n", + "31. 2.01921172758299\n", + "32. 2.12858588198506\n", + "33. 1.7572522072009\n", + "34. 2.92384101278737\n", + "35. 2.28185314884828\n", + "36. 2.79087687841961\n", + "37. 2.21214515416281\n", + "38. 6.58839684283952\n", + "39. 3.87376411226761\n", + "40. 2.05665537309651\n", + "41. 4.0078467830082\n", + "42. 3.05863934048795\n", + "43. 4.25356635297312\n", + "44. 3.70785083445082\n", + "45. 2.93315625166136\n", + "46. 1.43597873075997\n", + "47. 1.83712340347003\n", + "48. 1.10777237125187\n", + "49. 4.44863028673394\n", + "50. 3.01700982034357\n", + "51. 2.3113005552686\n", + "52. 2.35184844488368\n", + "53. 3.93683507808506\n", + "54. 2.50473805351577\n", + "55. 2.85231975079154\n", + "56. 1.83640657891441\n", + "57. 1.89965451103241\n", + "58. 2.02961669624199\n", + "59. 2.5019031028902\n", + "60. 1.46624501953432\n", + "61. 3.07005293188619\n", + "62. 1.69132901690944\n", + "63. 2.28052913905126\n", + "64. 2.29198438800531\n", + "65. 5.1996014447257\n", + "66. 1.20167312492674\n", + "67. 2.97559833424831\n", + "68. 6.45115405209848\n", + "69. 2.50881939168588\n", + "70. 2.33537764181492\n", + "71. 2.22069826130878\n", + "72. 3.49594491513486\n", + "73. 1.68424426946995\n", + "74. 3.14609124137652\n", + "75. 2.0950435430721\n", + "76. 1.26824122259499\n", + "77. 1.61356823228515\n", + "78. 5.59581437355025\n", + "79. 6.11524686716444\n", + "80. 1.10231513717403\n", + "81. 3.53138130236314\n", + "82. 1.31173282301512\n", + "83. 2.13327425019401\n", + "84. 3.3399998927838\n", + "85. 3.06495105310089\n", + "86. 1.70279391821338\n", + "87. 1.54454262241002\n", + "88. 1.69710291561058\n", + "89. 1.79367362799527\n", + "90. 3.55122563139024\n", + "91. 1.45859836944158\n", + "92. 1.77864880689464\n", + "93. 1.5939600159281\n", + "94. 3.79058219066413\n", + "95. 1.98539557260113\n", + "96. 3.05333346689608\n", + "97. 3.10129447290027\n", + "98. 4.62378992332122\n", + "99. 3.50520967771329\n", + "100. 4.10910132669659\n", + "\n", + "\n", + "\n", + "47. 1. 2.30223620940601\n", + "2. 3.36861351162507\n", + "3. 4.70298177406719\n", + "4. 6.34445313289214\n", + "5. 8.38928476781946\n", + "6. 6.41627914758445\n", + "7. 6.40057865750174\n", + "8. 6.88339075043493\n", + "9. 3.90308103315205\n", + "10. 6.13195829043625\n", + "11. 1.89022334316743\n", + "12. 5.61871283612473\n", + "13. 6.69050889309157\n", + "14. 4.46752648172241\n", + "15. 3.44765742771564\n", + "16. 5.2809051703339\n", + "17. 2.42781517501524\n", + "18. 7.49909633645272\n", + "19. 3.88791571798409\n", + "20. 3.39291548346206\n", + "21. 6.52398583590136\n", + "22. 5.82068641581638\n", + "23. 1.88448816200498\n", + "24. 6.9996293202302\n", + "25. 2.94581113546276\n", + "26. 2.98462290516705\n", + "27. 5.24701784573838\n", + "28. 9.4624573873137\n", + "29. 3.89519395609726\n", + "30. 6.04917469685809\n", + "31. 1.17184398779609\n", + "32. 2.09632299096999\n", + "33. 5.83404614641835\n", + "34. 4.49378648114046\n", + "35. 4.90411760098554\n", + "36. 4.17771580127098\n", + "37. 1.12011874595415\n", + "38. 6.71922511181773\n", + "39. 6.56029046602492\n", + "40. 5.77823146324341\n", + "41. 1.18169764016681\n", + "42. 3.3959776268072\n", + "43. 1.55353329997712\n", + "44. 2.91907170071437\n", + "45. 3.15980269862428\n", + "46. 5.16885720216904\n", + "47. 4.20295487365308\n", + "48. 5.73298387720494\n", + "49. 7.20110593745962\n", + "50. 6.72671278898321\n", + "51. 4.89220728170892\n", + "52. 2.95752148517724\n", + "53. 5.23400640443431\n", + "54. 5.24706797197223\n", + "55. 8.07053094010974\n", + "56. 5.39077403418019\n", + "57. 4.94612275430312\n", + "58. 6.98921268426537\n", + "59. 6.74180170539001\n", + "60. 2.46856701923259\n", + "61. 2.05314935680938\n", + "62. 0.664213266528252\n", + "63. 4.15146438927575\n", + "64. 4.40619938450004\n", + "65. 5.59116931639924\n", + "66. 5.4996476113026\n", + "67. 3.98565407995363\n", + "68. 6.57034924355125\n", + "69. 5.73833164183752\n", + "70. 3.22903687578367\n", + "71. 1.89893086162596\n", + "72. 5.06764320009625\n", + "73. 7.00194595070256\n", + "74. 4.87633210636174\n", + "75. 6.36836011067803\n", + "76. 7.04738657120307\n", + "77. 3.24902866198548\n", + "78. 1.46507492193145\n", + "79. 6.09989749949227\n", + "80. 4.91630069778155\n", + "81. 9.06723018511598\n", + "82. 2.20868751361403\n", + "83. 4.90224226282898\n", + "84. 2.23957132769024\n", + "85. 5.81939358050052\n", + "86. 6.22800421807679\n", + "87. 5.24533020138131\n", + "88. 4.62245841765234\n", + "89. 3.49522595047179\n", + "90. 11.3229025390162\n", + "91. 5.22262513652963\n", + "92. 1.7424160484204\n", + "93. 5.07420700077012\n", + "94. 5.46207589904378\n", + "95. 8.80704214676036\n", + "96. 5.02136435674853\n", + "97. 2.20127915173511\n", + "98. 3.64108011822588\n", + "99. 6.92921868967856\n", + "100. 3.11499442495177\n", + "\n", + "\n", + "\n", + "48. 1. 3.29018594528678\n", + "2. 2.74858597410641\n", + "3. 6.28373704384427\n", + "4. 7.24618560714668\n", + "5. 3.56663205820297\n", + "6. 6.746433278411\n", + "7. 6.5411088245354\n", + "8. 4.8719931215367\n", + "9. 9.54403308277855\n", + "10. 6.69896249396305\n", + "11. 6.61826124941631\n", + "12. 1.88148831920791\n", + "13. 4.86690164833247\n", + "14. 7.73075121745127\n", + "15. 6.71379221192411\n", + "16. 1.11303860810152\n", + "17. 3.67355295445451\n", + "18. 2.867284082212\n", + "19. 2.52015849372577\n", + "20. 10.3809664236255\n", + "21. 6.8651338179395\n", + "22. 10.5286323895826\n", + "23. 7.37230110557546\n", + "24. 5.19769298165003\n", + "25. 7.1006743302209\n", + "26. 9.54606045808573\n", + "27. 3.74545414051445\n", + "28. 3.25147105156589\n", + "29. 1.6406686219361\n", + "30. 3.60217191525324\n", + "31. 3.13822741784479\n", + "32. 1.46931358402602\n", + "33. 4.10528470054341\n", + "34. 4.16201266222305\n", + "35. 4.00813515622213\n", + "36. 3.22472068207239\n", + "37. 4.15033529605838\n", + "38. 4.92342093923536\n", + "39. 4.55103095086042\n", + "40. 6.85246643155283\n", + "41. 4.89032575794915\n", + "42. 3.55321613585724\n", + "43. 1.79381006929284\n", + "44. 6.33235886284722\n", + "45. 2.04371210396659\n", + "46. 0.827470814702051\n", + "47. 3.64086722386498\n", + "48. 3.20259392721648\n", + "49. 3.95924662686268\n", + "50. 4.6907942383136\n", + "51. 2.12795782345539\n", + "52. 7.43448323375511\n", + "53. 2.0290381517754\n", + "54. 4.89082743712115\n", + "55. 6.42454266053811\n", + "56. 5.88308265402213\n", + "57. 6.0163963739799\n", + "58. 5.16777186746668\n", + "59. 8.07134092871429\n", + "60. 2.73480755805057\n", + "61. 8.23474229884824\n", + "62. 4.09081107687803\n", + "63. 6.91532791895582\n", + "64. 5.84021702076581\n", + "65. 2.62497137850558\n", + "66. 11.1679165105911\n", + "67. 7.96772305490286\n", + "68. 6.24031933189929\n", + "69. 8.17202290530555\n", + "70. 5.31420052043569\n", + "71. 7.17005243124254\n", + "72. 10.0290625597708\n", + "73. 1.74284582140374\n", + "74. 0.909379223091019\n", + "75. 1.60458820321889\n", + "76. 6.69195037673498\n", + "77. 4.51632713348854\n", + "78. 3.74551427845888\n", + "79. 7.24060295769416\n", + "80. 1.18939299725195\n", + "81. 6.61395900230622\n", + "82. 7.56304721541336\n", + "83. 2.86991346849324\n", + "84. 2.34821756369249\n", + "85. 3.78593296323931\n", + "86. 8.09719880665781\n", + "87. 7.11488272651814\n", + "88. 11.51369554633\n", + "89. 0.885879057185274\n", + "90. 7.83873386986955\n", + "91. 6.88042104860041\n", + "92. 2.41112920577529\n", + "93. 8.06144873025108\n", + "94. 6.6799195432932\n", + "95. 7.62505006162027\n", + "96. 4.78229684263736\n", + "97. 1.90193308182939\n", + "98. 3.76948368660541\n", + "99. 1.60361729697796\n", + "100. 2.95026679163107\n", + "\n", + "\n", + "\n", + "49. 1. 4.80705812683463\n", + "2. 6.08701369730548\n", + "3. 5.93390415094762\n", + "4. 8.47383582675391\n", + "5. 3.11507792779037\n", + "6. 4.98352042443957\n", + "7. 4.9759940691067\n", + "8. 1.1868671483268\n", + "9. 2.16795860347416\n", + "10. 6.2149180118021\n", + "11. 8.00944643744338\n", + "12. 4.14628949839957\n", + "13. 5.18738189068477\n", + "14. 1.92393813331498\n", + "15. 6.30048956087505\n", + "16. 2.47640856418955\n", + "17. 12.514240595556\n", + "18. 7.79807597201529\n", + "19. 1.85210327579242\n", + "20. 4.39828544217799\n", + "21. 3.23481581393886\n", + "22. 4.63140757177779\n", + "23. 9.29103965783498\n", + "24. 5.37867805918241\n", + "25. 6.03685612508994\n", + "26. 4.03219281096064\n", + "27. 3.61832420188844\n", + "28. 2.56612216603191\n", + "29. 12.5737608415453\n", + "30. 5.2842079537587\n", + "31. 9.0808284101165\n", + "32. 5.59773414207521\n", + "33. 3.15914277466166\n", + "34. 2.42794438548334\n", + "35. 6.51757331368299\n", + "36. 4.80734727915296\n", + "37. 5.35155534385206\n", + "38. 5.07620015458185\n", + "39. 4.33188447713602\n", + "40. 3.8556525955707\n", + "41. 5.58276971416697\n", + "42. 8.0748001151271\n", + "43. 4.16632897180288\n", + "44. 2.23245369313556\n", + "45. 2.35669573583229\n", + "46. 7.19705924358027\n", + "47. 2.50939245551256\n", + "48. 5.41731553907087\n", + "49. 3.92920534124047\n", + "50. 7.61113507984915\n", + "51. 3.22559446803711\n", + "52. 6.45552257994334\n", + "53. 3.50502888669472\n", + "54. 5.19176339549297\n", + "55. 2.34769607725642\n", + "56. 4.24197028237465\n", + "57. 1.8718263411339\n", + "58. 1.42583364072489\n", + "59. 5.45871156335827\n", + "60. 9.58919857387634\n", + "61. 10.3008603637234\n", + "62. 6.72701119301074\n", + "63. 3.73605591495286\n", + "64. 6.66210370406545\n", + "65. 4.51756766960191\n", + "66. 2.91383145445269\n", + "67. 9.65653186103523\n", + "68. 5.70116117589217\n", + "69. 3.96285275385494\n", + "70. 6.35284121015937\n", + "71. 4.9177909155777\n", + "72. 3.72032185005636\n", + "73. 3.93773520600317\n", + "74. 3.40539512316846\n", + "75. 4.22270345743361\n", + "76. 3.2849417689303\n", + "77. 5.43674981534366\n", + "78. 3.04095863782941\n", + "79. 7.08903391103307\n", + "80. 2.15559832313309\n", + "81. 2.58202420336142\n", + "82. 5.93643164673663\n", + "83. 2.01645478984271\n", + "84. 3.65395665726495\n", + "85. 4.07137118303471\n", + "86. 4.97419799229012\n", + "87. 6.40293607995475\n", + "88. 1.36629559000596\n", + "89. 9.95674390958543\n", + "90. 3.99027319908222\n", + "91. 8.04732185607923\n", + "92. 5.97761864328017\n", + "93. 8.94527966535557\n", + "94. 9.20128209839692\n", + "95. 2.07842421185544\n", + "96. 2.31466618234215\n", + "97. 3.40351371637512\n", + "98. 2.53266292481788\n", + "99. 6.53622892022765\n", + "100. 6.62403565061546\n", + "\n", + "\n", + "\n", + "50. 1. 3.76317069975526\n", + "2. 7.1831791711543\n", + "3. 4.49564856238801\n", + "4. 4.7767124017155\n", + "5. 8.01510378290916\n", + "6. 6.59927817474108\n", + "7. 8.28116838527874\n", + "8. 8.0534740470152\n", + "9. 10.0832555177232\n", + "10. 9.9819983724\n", + "11. 6.27350587538483\n", + "12. 5.02090656078867\n", + "13. 3.8021155422221\n", + "14. 3.79212373230579\n", + "15. 2.03050194608617\n", + "16. 6.71529097851699\n", + "17. 4.90389207711539\n", + "18. 7.93734487135494\n", + "19. 7.24455653315401\n", + "20. 12.4130787083219\n", + "21. 2.47793120561492\n", + "22. 2.42496676969074\n", + "23. 7.16954362553062\n", + "24. 11.6520524008057\n", + "25. 4.02368642149904\n", + "26. 4.015431173557\n", + "27. 5.85859424022021\n", + "28. 10.0684153728541\n", + "29. 4.89704579976772\n", + "30. 10.0209010088205\n", + "31. 2.61563661883966\n", + "32. 5.50537368416501\n", + "33. 9.84264846848279\n", + "34. 4.49176733596273\n", + "35. 4.05018340036906\n", + "36. 1.52153211128383\n", + "37. 6.33607577805167\n", + "38. 5.99480506166079\n", + "39. 1.8007405681078\n", + "40. 5.25373664806903\n", + "41. 7.02802920875418\n", + "42. 13.5203914694556\n", + "43. 3.39219794507707\n", + "44. 3.27116087524274\n", + "45. 3.66984019958543\n", + "46. 1.65711653157693\n", + "47. 10.5821525319764\n", + "48. 9.01161819928802\n", + "49. 4.90744689227518\n", + "50. 10.1413451958681\n", + "51. 1.82256014351856\n", + "52. 6.21168443362847\n", + "53. 3.83710859269688\n", + "54. 3.65307983589856\n", + "55. 7.89420595090439\n", + "56. 5.87155104407679\n", + "57. 7.84046606709492\n", + "58. 4.5914553817661\n", + "59. 3.56147878729408\n", + "60. 3.70797292206402\n", + "61. 4.68830638804582\n", + "62. 0.725220276371636\n", + "63. 9.76748764488442\n", + "64. 5.68225186430163\n", + "65. 7.69761030595376\n", + "66. 6.73174159469308\n", + "67. 5.61182158330789\n", + "68. 4.74948282228967\n", + "69. 5.18168105446703\n", + "70. 7.31961738078768\n", + "71. 13.1160986576469\n", + "72. 6.63529463967231\n", + "73. 8.3019112409521\n", + "74. 3.65267280799644\n", + "75. 3.55761844141873\n", + "76. 8.8848418516165\n", + "77. 5.93943240558472\n", + "78. 4.55009223067279\n", + "79. 3.5728762870801\n", + "80. 4.84045385470805\n", + "81. 8.94597241833914\n", + "82. 5.34324205835046\n", + "83. 4.70488621204955\n", + "84. 5.40903540337342\n", + "85. 6.47546298281453\n", + "86. 2.51506072169069\n", + "87. 7.43412617258909\n", + "88. 3.88280593657281\n", + "89. 6.13563789761222\n", + "90. 6.69532494014908\n", + "91. 5.86027228066154\n", + "92. 6.1962783535831\n", + "93. 5.54196079335622\n", + "94. 4.72095419043167\n", + "95. 2.59840835892671\n", + "96. 1.53878130183588\n", + "97. 3.85222724225784\n", + "98. 8.64337733282315\n", + "99. 6.99355200448447\n", + "100. 6.12040281725141\n", + "\n", + "\n", + "\n", + "51. 1. 5.19417088891776\n", + "2. 2.2871361522338\n", + "3. 0.679774801361675\n", + "4. 2.05225567985814\n", + "5. 0.779713142756139\n", + "6. 3.08883170931253\n", + "7. 3.70907621076747\n", + "8. 2.2543868172092\n", + "9. 5.97259294835788\n", + "10. 1.40130930039713\n", + "11. 2.63579021219973\n", + "12. 3.67505519295688\n", + "13. 5.34971125618013\n", + "14. 0.56875626094675\n", + "15. 5.72599865359192\n", + "16. 4.82251934710826\n", + "17. 2.08059611666948\n", + "18. 2.82091763716046\n", + "19. 3.74605024573124\n", + "20. 1.89009635423139\n", + "21. 0.881162948060852\n", + "22. 3.46842032688795\n", + "23. 1.41049819174675\n", + "24. 5.28590230685012\n", + "25. 5.32822350965064\n", + "26. 3.28604511140507\n", + "27. 0.761776026468188\n", + "28. 1.28785764395234\n", + "29. 5.58687159090772\n", + "30. 3.08201069040116\n", + "31. 7.29591114463368\n", + "32. 2.40304577135083\n", + "33. 0.290283643668053\n", + "34. 1.45341473612424\n", + "35. 0.831780931941483\n", + "36. 2.84075088611898\n", + "37. 2.24672776674352\n", + "38. 4.78436845910098\n", + "39. 5.05138445926757\n", + "40. 1.63760117401837\n", + "41. 5.2538892662395\n", + "42. 5.47366090324801\n", + "43. 2.47076237255017\n", + "44. 6.65038828659512\n", + "45. 2.3345680278394\n", + "46. 3.02212666995827\n", + "47. 1.45220042499738\n", + "48. 2.96069288394743\n", + "49. 4.10115314756586\n", + "50. 2.66837590978763\n", + "51. 3.34737022034292\n", + "52. 1.1912245920001\n", + "53. 2.14044072605165\n", + "54. 2.21071397216232\n", + "55. 5.30981650987532\n", + "56. 1.76238050641008\n", + "57. 0.782065638753083\n", + "58. 0.647380275190045\n", + "59. 3.48374272556699\n", + "60. 5.69351240130015\n", + "61. 3.97069174587926\n", + "62. 5.2971227625359\n", + "63. 0.808371844644958\n", + "64. 4.55116370071218\n", + "65. 0.987219185580793\n", + "66. 3.51973383090302\n", + "67. 3.29566660015398\n", + "68. 0.564801003169283\n", + "69. 2.68238721513763\n", + "70. 5.54782286150354\n", + "71. 3.87623644600998\n", + "72. 6.26916279271161\n", + "73. 4.25022422592809\n", + "74. 3.06722570314198\n", + "75. 3.37663231855255\n", + "76. 3.94374282305928\n", + "77. 2.30991997048493\n", + "78. 5.12545783416818\n", + "79. 3.2663973070425\n", + "80. 0.748630603280257\n", + "81. 4.67058526197848\n", + "82. 5.4771287918864\n", + "83. 1.2948929617072\n", + "84. 4.42170377274506\n", + "85. 5.0463911697119\n", + "86. 4.16660911805417\n", + "87. 3.31912685874651\n", + "88. 1.987965515836\n", + "89. 3.91489095610844\n", + "90. 4.07264652165732\n", + "91. 5.76857153370532\n", + "92. 0.769950109557288\n", + "93. 1.75457454435408\n", + "94. 1.71216794325083\n", + "95. 3.21065777345466\n", + "96. 2.87169511325158\n", + "97. 6.51305887352054\n", + "98. 1.51462734953215\n", + "99. 3.25673325654825\n", + "100. 4.1104485399685\n", + "\n", + "\n", + "\n", + "52. 1. 3.02488083646349\n", + "2. 3.73159510892928\n", + "3. 2.80493384908392\n", + "4. 8.1852536050024\n", + "5. 5.01798146164366\n", + "6. 2.10767963049886\n", + "7. 1.74237572141413\n", + "8. 5.94774946719833\n", + "9. 1.62145508866295\n", + "10. 4.29622779771547\n", + "11. 1.56313380705647\n", + "12. 3.58118256329611\n", + "13. 3.77112945290628\n", + "14. 4.12017304655743\n", + "15. 2.83445535876262\n", + "16. 4.2135291412547\n", + "17. 4.60680191063652\n", + "18. 3.97976275020633\n", + "19. 9.11622058138541\n", + "20. 6.40836011448967\n", + "21. 0.867030034456647\n", + "22. 7.11350173197435\n", + "23. 2.08380491242501\n", + "24. 2.98457945028507\n", + "25. 4.25893193758957\n", + "26. 2.22190346043347\n", + "27. 2.20320660423801\n", + "28. 5.23965715482302\n", + "29. 8.30856143891353\n", + "30. 3.21975835052143\n", + "31. 5.26498922420811\n", + "32. 8.30497945782676\n", + "33. 5.68968419215223\n", + "34. 4.490667599913\n", + "35. 1.26998725110764\n", + "36. 2.74755774701541\n", + "37. 2.59529294867277\n", + "38. 1.33976170482887\n", + "39. 6.36663959367437\n", + "40. 1.46119387276551\n", + "41. 6.62741742600337\n", + "42. 3.54922929831604\n", + "43. 5.34612715231404\n", + "44. 4.18659813612547\n", + "45. 4.98491827816205\n", + "46. 7.27936524622893\n", + "47. 10.005082033407\n", + "48. 4.43398686372787\n", + "49. 4.36164794916997\n", + "50. 6.3533558604012\n", + "51. 2.78294105570412\n", + "52. 1.18038166330845\n", + "53. 3.86503420501389\n", + "54. 8.32858001888716\n", + "55. 0.910359959983116\n", + "56. 6.94273875380493\n", + "57. 5.65432396770852\n", + "58. 7.69570876050186\n", + "59. 6.59496829617151\n", + "60. 6.5911883994096\n", + "61. 2.09628857470672\n", + "62. 7.98238791136817\n", + "63. 5.59949028947155\n", + "64. 2.16599570649141\n", + "65. 7.96786304674835\n", + "66. 4.96737489095177\n", + "67. 6.13169814280616\n", + "68. 4.59190369183603\n", + "69. 3.10346874060386\n", + "70. 2.25523425233648\n", + "71. 1.11226840781942\n", + "72. 2.41388907588139\n", + "73. 4.33442536764114\n", + "74. 4.30817528548906\n", + "75. 6.53105828335764\n", + "76. 2.39612544675883\n", + "77. 6.32906069419478\n", + "78. 2.04068782330049\n", + "79. 5.99973051383474\n", + "80. 6.11239250351934\n", + "81. 1.54427925874214\n", + "82. 7.73955414939108\n", + "83. 4.36606058296682\n", + "84. 1.09477803986556\n", + "85. 8.02021140811357\n", + "86. 5.87840538665074\n", + "87. 3.50634834389652\n", + "88. 6.9089536668706\n", + "89. 1.56740678877387\n", + "90. 7.05520488314828\n", + "91. 2.21660223696367\n", + "92. 5.93306844705508\n", + "93. 6.49757397317282\n", + "94. 5.67575075288523\n", + "95. 3.26185913687731\n", + "96. 2.15603452408512\n", + "97. 3.5938627198279\n", + "98. 6.68551191668476\n", + "99. 1.19622235575279\n", + "100. 4.20212383211546\n", + "\n", + "\n", + "\n", + "53. 1. 1.42810994127873\n", + "2. 7.69336063503309\n", + "3. 2.15966481540097\n", + "4. 3.49634921437344\n", + "5. 2.43741667824449\n", + "6. 4.83432895696056\n", + "7. 2.38212175488671\n", + "8. 4.158302546621\n", + "9. 4.45718394111658\n", + "10. 1.99295470551462\n", + "11. 3.76381241942403\n", + "12. 2.87313383838821\n", + "13. 2.9377268215731\n", + "14. 3.44170715318392\n", + "15. 1.25761360053628\n", + "16. 2.36960458962931\n", + "17. 2.939148789467\n", + "18. 0.918712300678549\n", + "19. 4.52710833653553\n", + "20. 0.667503298989695\n", + "21. 2.24897648001855\n", + "22. 0.749932385188394\n", + "23. 2.11855089097482\n", + "24. 2.58913812809023\n", + "25. 2.64777577339276\n", + "26. 5.61893467235954\n", + "27. 3.61070136271418\n", + "28. 2.27347335624206\n", + "29. 2.4426261783569\n", + "30. 0.46568089047539\n", + "31. 5.74591030088692\n", + "32. 2.80564163184403\n", + "33. 1.33045401834608\n", + "34. 0.857947055239081\n", + "35. 8.65432106957239\n", + "36. 3.02494688709284\n", + "37. 1.51337622290857\n", + "38. 4.39679792545408\n", + "39. 3.97059295613202\n", + "40. 3.07523097741566\n", + "41. 6.23180444331321\n", + "42. 2.38319268771275\n", + "43. 2.90407857171519\n", + "44. 7.00310035359335\n", + "45. 6.07775351298758\n", + "46. 7.52585395686329\n", + "47. 5.22164273674363\n", + "48. 4.40908844847536\n", + "49. 4.9909274139404\n", + "50. 1.47173765788406\n", + "51. 5.67143944351649\n", + "52. 2.00358063962788\n", + "53. 4.09474462932746\n", + "54. 2.48282881414053\n", + "55. 1.21148788419132\n", + "56. 1.19791976691396\n", + "57. 0.842587487794357\n", + "58. 1.33868938203638\n", + "59. 3.30076735582941\n", + "60. 5.13271743090348\n", + "61. 0.843623553434265\n", + "62. 3.83171268173889\n", + "63. 1.39923269403833\n", + "64. 4.23521963930353\n", + "65. 3.25598025142292\n", + "66. 5.40300331305851\n", + "67. 5.00945354523112\n", + "68. 1.30708798311266\n", + "69. 2.9078654243104\n", + "70. 4.79262545142566\n", + "71. 1.73523358735081\n", + "72. 3.69205959011918\n", + "73. 2.4142878049985\n", + "74. 3.44638117788277\n", + "75. 1.25462831526234\n", + "76. 2.81741011520061\n", + "77. 2.12283324882736\n", + "78. 5.90626779478356\n", + "79. 4.1982477524113\n", + "80. 5.22749503316004\n", + "81. 4.45431400201445\n", + "82. 6.33596188505287\n", + "83. 8.64853898050428\n", + "84. 6.40576482639104\n", + "85. 5.50227711162324\n", + "86. 2.24691378113233\n", + "87. 1.90083065837221\n", + "88. 2.49124361400976\n", + "89. 2.88965261830708\n", + "90. 2.3381504822228\n", + "91. 1.95613520323659\n", + "92. 2.94508840120582\n", + "93. 3.1009309497305\n", + "94. 6.55335119333631\n", + "95. 2.21751238922745\n", + "96. 1.15478468344583\n", + "97. 6.24010267089282\n", + "98. 4.06780601600816\n", + "99. 0.997289758360299\n", + "100. 5.5156803429924\n", + "\n", + "\n", + "\n", + "54. 1. 1.17849433445835\n", + "2. 1.42311795473354\n", + "3. 4.2913945983718\n", + "4. 5.43161399387855\n", + "5. 2.1440840560127\n", + "6. 3.63129428813079\n", + "7. 4.55321967913906\n", + "8. 2.10759036170604\n", + "9. 3.2372557384782\n", + "10. 5.61592427252875\n", + "11. 2.35462754430874\n", + "12. 3.21534311045894\n", + "13. 2.79953305242617\n", + "14. 3.47663396199183\n", + "15. 3.86324606074997\n", + "16. 5.11119602773815\n", + "17. 2.51815238096582\n", + "18. 2.34747714818573\n", + "19. 7.61938579569172\n", + "20. 2.5251888982739\n", + "21. 4.6727705549507\n", + "22. 2.32638119103215\n", + "23. 8.37439104470335\n", + "24. 2.80265381783337\n", + "25. 2.07398406815011\n", + "26. 4.81954522967232\n", + "27. 1.28001805122134\n", + "28. 4.93938979809447\n", + "29. 6.16118200369961\n", + "30. 7.42637146555765\n", + "31. 3.18484809548174\n", + "32. 2.4515590239701\n", + "33. 4.06392214847762\n", + "34. 5.71485444883705\n", + "35. 2.46846803485329\n", + "36. 1.80402223309703\n", + "37. 5.51861555968718\n", + "38. 1.1318490868553\n", + "39. 7.52751953667376\n", + "40. 3.13353409153251\n", + "41. 5.57436521133126\n", + "42. 4.54922538876258\n", + "43. 8.11493530926096\n", + "44. 4.53349901808259\n", + "45. 7.5592210315822\n", + "46. 2.65057858097334\n", + "47. 3.15936334390074\n", + "48. 4.81925265897162\n", + "49. 1.95831137667934\n", + "50. 2.54581397361073\n", + "51. 1.54573869198052\n", + "52. 3.69876262761724\n", + "53. 2.72886854875527\n", + "54. 2.43396658034207\n", + "55. 4.86853988771045\n", + "56. 4.79809783763967\n", + "57. 3.77472860630847\n", + "58. 4.33341902911183\n", + "59. 4.83935181832022\n", + "60. 2.69344935999068\n", + "61. 2.28391744955549\n", + "62. 1.16118386443016\n", + "63. 8.70050974319628\n", + "64. 2.52926989570348\n", + "65. 3.97456297309867\n", + "66. 1.43429914866707\n", + "67. 6.56871525792142\n", + "68. 1.78794685869792\n", + "69. 4.28874293418202\n", + "70. 3.2118986797059\n", + "71. 3.82087073568703\n", + "72. 2.27151910480101\n", + "73. 7.66686801677731\n", + "74. 1.80074103754131\n", + "75. 1.16965772536333\n", + "76. 2.84547312482695\n", + "77. 2.52141725167558\n", + "78. 4.51161904447256\n", + "79. 4.53748363718499\n", + "80. 5.88158933506675\n", + "81. 4.81976275002327\n", + "82. 5.96181624675702\n", + "83. 5.77454378922271\n", + "84. 3.65944042101394\n", + "85. 2.59682352567019\n", + "86. 0.925406279656415\n", + "87. 4.6684881722571\n", + "88. 2.35809538165543\n", + "89. 7.52162525502353\n", + "90. 3.68728712057995\n", + "91. 2.96290354859619\n", + "92. 3.23735015377976\n", + "93. 11.1430481109657\n", + "94. 2.16345041859459\n", + "95. 4.8231159633836\n", + "96. 4.02150491800884\n", + "97. 1.04349980039286\n", + "98. 2.20796210318485\n", + "99. 8.74752930635048\n", + "100. 4.00927025221535\n", + "\n", + "\n", + "\n", + "55. 1. 1.38951947043267\n", + "2. 5.68006838114836\n", + "3. 1.29564246919145\n", + "4. 1.54770885038483\n", + "5. 3.13873316025902\n", + "6. 3.00657054114868\n", + "7. 3.02977230639055\n", + "8. 1.85065019443866\n", + "9. 1.19041285996682\n", + "10. 6.3813121821584\n", + "11. 6.45572946932465\n", + "12. 4.42189584720662\n", + "13. 2.46256916223379\n", + "14. 3.19623478384782\n", + "15. 4.56250038958877\n", + "16. 4.50603382318503\n", + "17. 2.76242245742767\n", + "18. 1.66895060940212\n", + "19. 2.18344211515851\n", + "20. 2.0210169446514\n", + "21. 3.28064069029632\n", + "22. 5.98350280501373\n", + "23. 2.68335888926852\n", + "24. 10.1461138482206\n", + "25. 4.22255690413055\n", + "26. 2.29188168641124\n", + "27. 1.93626805180797\n", + "28. 4.22586775841353\n", + "29. 8.31996828088683\n", + "30. 4.66097057448897\n", + "31. 3.30697117650958\n", + "32. 4.52216182715373\n", + "33. 5.89219135566231\n", + "34. 7.31594764740891\n", + "35. 1.73053516877934\n", + "36. 1.80060714482463\n", + "37. 8.60015620825478\n", + "38. 3.60522610951693\n", + "39. 4.1161366374793\n", + "40. 4.98426509833908\n", + "41. 6.32580632029257\n", + "42. 4.17545723094349\n", + "43. 2.53782982982139\n", + "44. 3.58767556894286\n", + "45. 1.88306140714825\n", + "46. 5.58753358155897\n", + "47. 1.44349827133035\n", + "48. 1.95225364662664\n", + "49. 7.19679067996142\n", + "50. 2.33267961545993\n", + "51. 3.14593719320939\n", + "52. 0.990580813034125\n", + "53. 7.31957767221968\n", + "54. 1.34421053282171\n", + "55. 3.41101392073552\n", + "56. 2.08120746712838\n", + "57. 0.813097621385179\n", + "58. 1.39954861217336\n", + "59. 2.20701790548461\n", + "60. 1.2375668185718\n", + "61. 0.868452721990854\n", + "62. 0.668990563511504\n", + "63. 3.22108169305696\n", + "64. 5.60327708860435\n", + "65. 2.50525319493459\n", + "66. 2.13533386655492\n", + "67. 1.66360005375701\n", + "68. 9.92913574366079\n", + "69. 2.25950909420495\n", + "70. 3.13065664871288\n", + "71. 6.18548678933317\n", + "72. 1.04326030311112\n", + "73. 10.1378433742457\n", + "74. 3.24084409919539\n", + "75. 4.79740717862218\n", + "76. 6.93289385472962\n", + "77. 1.89382067264515\n", + "78. 3.43501094166429\n", + "79. 5.11184509556587\n", + "80. 6.19487711605472\n", + "81. 3.00744052740037\n", + "82. 1.49863026159409\n", + "83. 2.08914672623138\n", + "84. 2.1134323124623\n", + "85. 2.94978385218048\n", + "86. 4.17930410782543\n", + "87. 3.36983385712799\n", + "88. 8.04858926784873\n", + "89. 1.45921489396193\n", + "90. 0.73296737327898\n", + "91. 5.26674220290064\n", + "92. 4.26090526842209\n", + "93. 3.46299961385686\n", + "94. 2.84937246431611\n", + "95. 5.19800548260856\n", + "96. 3.44688269288139\n", + "97. 2.71868699498384\n", + "98. 1.16439792287698\n", + "99. 6.42497337464186\n", + "100. 3.44041123967262\n", + "\n", + "\n", + "\n", + "56. 1. 1.8315443134787\n", + "2. 5.11210991500803\n", + "3. 4.4902067194545\n", + "4. 2.94488626849653\n", + "5. 4.0730896850403\n", + "6. 5.22795462981771\n", + "7. 5.45381769643833\n", + "8. 2.83828910788296\n", + "9. 2.48789082815837\n", + "10. 4.5213776434935\n", + "11. 3.27532193094934\n", + "12. 5.86346718032688\n", + "13. 1.63990300351242\n", + "14. 1.88435846954123\n", + "15. 3.31768627961395\n", + "16. 2.45462876884599\n", + "17. 2.86764247611679\n", + "18. 3.0890210220703\n", + "19. 4.70274446014354\n", + "20. 0.727441536720544\n", + "21. 4.52855027474199\n", + "22. 3.15978059132217\n", + "23. 1.38732620784631\n", + "24. 0.562478412625491\n", + "25. 1.51511060543077\n", + "26. 1.62505124617331\n", + "27. 4.13780453328177\n", + "28. 1.13801039913988\n", + "29. 6.90218525174132\n", + "30. 4.37966444620344\n", + "31. 0.975753516756081\n", + "32. 5.86472913132709\n", + "33. 5.63065802885886\n", + "34. 3.36763932694812\n", + "35. 3.20732153328701\n", + "36. 1.70907290834166\n", + "37. 3.92455416193852\n", + "38. 2.49791819047416\n", + "39. 4.42057723006818\n", + "40. 2.35940281956579\n", + "41. 1.44412880055182\n", + "42. 3.3532842696571\n", + "43. 1.78705870936406\n", + "44. 2.80442645494233\n", + "45. 9.16906402185229\n", + "46. 1.92487427229994\n", + "47. 4.64662520905718\n", + "48. 1.28241290472856\n", + "49. 1.88372299671334\n", + "50. 1.29603146947072\n", + "51. 1.61527754314434\n", + "52. 0.845034555481163\n", + "53. 5.52016909521037\n", + "54. 2.8271351031834\n", + "55. 4.6507614657358\n", + "56. 3.69499640352778\n", + "57. 4.34803084367338\n", + "58. 1.99643604985293\n", + "59. 7.51349441455941\n", + "60. 4.68987384867906\n", + "61. 4.84769547861494\n", + "62. 4.5219907200566\n", + "63. 1.35591889275413\n", + "64. 4.49584289212322\n", + "65. 3.30523136481424\n", + "66. 2.14855530936108\n", + "67. 1.58461976178286\n", + "68. 2.4017070884099\n", + "69. 5.55267526199893\n", + "70. 5.83986618686522\n", + "71. 4.74786677268232\n", + "72. 2.97250722472886\n", + "73. 2.60217766162752\n", + "74. 2.15643332551382\n", + "75. 6.68133784058785\n", + "76. 3.59797357641469\n", + "77. 2.2826959551099\n", + "78. 2.74986842343131\n", + "79. 6.62292047238482\n", + "80. 1.72327358354747\n", + "81. 6.07175964280984\n", + "82. 7.03226063530418\n", + "83. 3.51594020367919\n", + "84. 4.43940642667417\n", + "85. 4.59658415435887\n", + "86. 2.60567101058841\n", + "87. 2.54322263677681\n", + "88. 3.65982374715343\n", + "89. 2.2171701878908\n", + "90. 2.11868703176829\n", + "91. 4.30086580719833\n", + "92. 6.69640240604143\n", + "93. 4.68010152507946\n", + "94. 1.37769166729268\n", + "95. 5.23561739241478\n", + "96. 2.64661412448743\n", + "97. 3.62851087349233\n", + "98. 3.52401115021867\n", + "99. 3.01625378148968\n", + "100. 2.61564402503769\n", + "\n", + "\n", + "\n", + "57. 1. 5.84567813429302\n", + "2. 1.03123216759159\n", + "3. 0.754198205282486\n", + "4. 8.31822140136904\n", + "5. 4.29672972586775\n", + "6. 4.48420725859711\n", + "7. 1.54211769359863\n", + "8. 1.52194272840935\n", + "9. 4.28583109462977\n", + "10. 4.57819819332345\n", + "11. 3.25243692160489\n", + "12. 1.83991738485431\n", + "13. 7.69214482584869\n", + "14. 1.66786277028951\n", + "15. 6.62143717593823\n", + "16. 0.404859880893171\n", + "17. 9.70406583086608\n", + "18. 2.22776417319953\n", + "19. 5.54801781392177\n", + "20. 1.84451149795132\n", + "21. 8.11811088265138\n", + "22. 7.16689222179788\n", + "23. 1.67105765189942\n", + "24. 8.16348292786226\n", + "25. 0.684024633873664\n", + "26. 1.25877024371628\n", + "27. 2.32048356849021\n", + "28. 2.62582967893063\n", + "29. 1.94432711520949\n", + "30. 3.99417769553021\n", + "31. 2.1175093730807\n", + "32. 4.87657268308026\n", + "33. 3.92254241555779\n", + "34. 4.51516210640808\n", + "35. 4.13338972170176\n", + "36. 4.39047981464021\n", + "37. 5.99999506847729\n", + "38. 5.07204176079304\n", + "39. 16.7835093276324\n", + "40. 4.7915983945458\n", + "41. 6.49858524629433\n", + "42. 5.5190125361691\n", + "43. 0.250564614978383\n", + "44. 1.42171708537736\n", + "45. 9.15604391077128\n", + "46. 1.18174154946171\n", + "47. 1.11400254605585\n", + "48. 0.645971887156953\n", + "49. 8.57365817895741\n", + "50. 3.62661333398685\n", + "51. 4.66120257856695\n", + "52. 6.54516244634798\n", + "53. 3.77950586323509\n", + "54. 4.01312108043448\n", + "55. 3.31670925466831\n", + "56. 6.5956463360764\n", + "57. 1.67187855481711\n", + "58. 5.21239579609487\n", + "59. 4.97633250513842\n", + "60. 7.58024537740903\n", + "61. 1.6808751818569\n", + "62. 5.21610660027367\n", + "63. 2.64084438855411\n", + "64. 5.85088646490926\n", + "65. 3.4150360319838\n", + "66. 0.942480068187411\n", + "67. 4.96789353243703\n", + "68. 5.01178984063671\n", + "69. 4.22901164939226\n", + "70. 2.18402317394477\n", + "71. 8.68383032737239\n", + "72. 1.5346608630976\n", + "73. 4.68211326978704\n", + "74. 6.27534880397385\n", + "75. 6.22338625116199\n", + "76. 4.71053160630549\n", + "77. 1.03355421968908\n", + "78. 1.99692480099745\n", + "79. 1.92898450220558\n", + "80. 5.1910627967798\n", + "81. 0.935514887094221\n", + "82. 2.15904092530253\n", + "83. 5.06349837530373\n", + "84. 2.86291625129924\n", + "85. 1.09220787492935\n", + "86. 4.30566577322341\n", + "87. 1.51678872911057\n", + "88. 1.31788671661956\n", + "89. 1.5971528784387\n", + "90. 0.918496952673999\n", + "91. 4.74440624159685\n", + "92. 7.68110829552951\n", + "93. 6.00630708725388\n", + "94. 2.09072515917085\n", + "95. 1.7603600708109\n", + "96. 0.838874875496747\n", + "97. 2.97673017854203\n", + "98. 5.92442689951261\n", + "99. 1.64801356695466\n", + "100. 1.28588140912475\n", + "\n", + "\n", + "\n", + "58. 1. 1.9805607342837\n", + "2. 3.54238233194489\n", + "3. 4.71356567411816\n", + "4. 4.79000461802966\n", + "5. 5.44816540079662\n", + "6. 5.41478744859297\n", + "7. 2.292614307814\n", + "8. 7.57328122479265\n", + "9. 1.08730668685638\n", + "10. 4.56565115858776\n", + "11. 2.02933601557426\n", + "12. 2.78806104137997\n", + "13. 3.69586931386698\n", + "14. 5.34203044146029\n", + "15. 6.14275904699796\n", + "16. 6.24079783141153\n", + "17. 5.35128979708654\n", + "18. 3.68573555666284\n", + "19. 7.48562530863057\n", + "20. 2.25767020869344\n", + "21. 1.78373947509901\n", + "22. 2.59916737626061\n", + "23. 1.93555619257739\n", + "24. 6.26283483269591\n", + "25. 6.00214626070874\n", + "26. 2.60617191811667\n", + "27. 3.06831151995445\n", + "28. 1.84781763389579\n", + "29. 2.66152098107891\n", + "30. 6.060302498146\n", + "31. 2.14395144701788\n", + "32. 3.17311388520435\n", + "33. 2.89962588891483\n", + "34. 6.9507180521822\n", + "35. 2.1185679595454\n", + "36. 6.34955262274184\n", + "37. 6.56514774141403\n", + "38. 3.92082810428636\n", + "39. 2.27700022223511\n", + "40. 0.926240580803116\n", + "41. 4.04197590460018\n", + "42. 4.78927806122396\n", + "43. 5.8199492266143\n", + "44. 1.98443907134483\n", + "45. 2.55596263264062\n", + "46. 3.52660423982556\n", + "47. 2.03948942458625\n", + "48. 3.41416613869396\n", + "49. 4.75228854533593\n", + "50. 5.56669912454112\n", + "51. 4.59235814708538\n", + "52. 2.43341218788999\n", + "53. 2.9218638653992\n", + "54. 6.28241260436459\n", + "55. 1.64909165509997\n", + "56. 2.23748557027452\n", + "57. 1.45369560371855\n", + "58. 3.0323408913794\n", + "59. 5.74277987207737\n", + "60. 7.25516385297009\n", + "61. 8.27069906425932\n", + "62. 1.43582745232242\n", + "63. 0.980544577386764\n", + "64. 5.01376044431416\n", + "65. 0.705887075251279\n", + "66. 2.09422207055558\n", + "67. 5.50347801369885\n", + "68. 3.12701472010698\n", + "69. 2.33131637246881\n", + "70. 3.77543393595327\n", + "71. 4.51442766893094\n", + "72. 5.46004626511867\n", + "73. 6.06269413765777\n", + "74. 6.7100136563925\n", + "75. 4.44416872837007\n", + "76. 0.98782175830515\n", + "77. 1.59829793433972\n", + "78. 1.47635785207944\n", + "79. 1.26873734544499\n", + "80. 3.23220375688561\n", + "81. 3.44656102693442\n", + "82. 4.6859247898283\n", + "83. 5.33181223755106\n", + "84. 6.23872950434192\n", + "85. 2.06921008322429\n", + "86. 2.33395958950462\n", + "87. 6.40731573487092\n", + "88. 2.95413264258573\n", + "89. 4.1936618162462\n", + "90. 2.80529752035372\n", + "91. 5.44622401606227\n", + "92. 2.22005622781763\n", + "93. 1.26021049392454\n", + "94. 3.50254691606871\n", + "95. 4.4489341676172\n", + "96. 2.73531107014118\n", + "97. 2.68500981007102\n", + "98. 6.70394545541417\n", + "99. 2.430970164975\n", + "100. 2.6826939069388\n", + "\n", + "\n", + "\n", + "59. 1. 5.85372848018384\n", + "2. 6.48081477861921\n", + "3. 0.942012049670054\n", + "4. 6.0651278314905\n", + "5. 5.59199906854898\n", + "6. 2.54814577055916\n", + "7. 1.90273720634534\n", + "8. 0.556913118319899\n", + "9. 5.07651426138803\n", + "10. 1.73960215308483\n", + "11. 1.42141476442849\n", + "12. 0.46761629041403\n", + "13. 3.51715826803547\n", + "14. 0.9634140995423\n", + "15. 2.16013954908946\n", + "16. 0.658219000164477\n", + "17. 2.62348963092882\n", + "18. 1.8088836766717\n", + "19. 3.90884482569206\n", + "20. 2.24340740899168\n", + "21. 1.0833939640703\n", + "22. 7.0835398524651\n", + "23. 0.433212611401894\n", + "24. 2.25601799252688\n", + "25. 3.95332219696\n", + "26. 1.03191584539401\n", + "27. 0.539064432832267\n", + "28. 7.32254719287383\n", + "29. 5.15631477121598\n", + "30. 3.13019920817652\n", + "31. 4.85238968843599\n", + "32. 0.846053529262624\n", + "33. 1.99590284983416\n", + "34. 3.57342689424233\n", + "35. 0.828127563721137\n", + "36. 4.20294525086947\n", + "37. 1.70223567557827\n", + "38. 0.426315347661715\n", + "39. 1.37058713942979\n", + "40. 5.1225278832138\n", + "41. 3.00207230806721\n", + "42. 4.6926040427127\n", + "43. 6.18853540878822\n", + "44. 1.4515628715992\n", + "45. 1.31103529200358\n", + "46. 1.14278594994644\n", + "47. 0.543764991588904\n", + "48. 1.71698294994175\n", + "49. 1.74149880499124\n", + "50. 3.0512473262809\n", + "51. 3.21613819698336\n", + "52. 2.66640882208047\n", + "53. 1.75898773946288\n", + "54. 1.07074263659876\n", + "55. 4.06192610300464\n", + "56. 1.05331042521352\n", + "57. 1.64665910823505\n", + "58. 1.8280215979216\n", + "59. 5.45053028112229\n", + "60. 1.0519212374965\n", + "61. 1.83677791145729\n", + "62. 2.12015950482476\n", + "63. 2.03750591140626\n", + "64. 2.00994906753849\n", + "65. 3.26415391752469\n", + "66. 0.629573912888409\n", + "67. 0.843159793660792\n", + "68. 3.64270928138584\n", + "69. 2.75511417491293\n", + "70. 1.42306069854643\n", + "71. 5.4419432073326\n", + "72. 4.43442498910486\n", + "73. 2.48766352369598\n", + "74. 2.24159180028505\n", + "75. 1.01451444814124\n", + "76. 1.42756446122498\n", + "77. 4.08749096510292\n", + "78. 1.65006328894208\n", + "79. 1.90955137045549\n", + "80. 3.60225614023512\n", + "81. 0.576098271758104\n", + "82. 3.61722522408065\n", + "83. 3.39040214110657\n", + "84. 2.93596085927482\n", + "85. 1.7516503211026\n", + "86. 4.74583469837186\n", + "87. 2.12789601594281\n", + "88. 2.5299169235448\n", + "89. 1.73343924628377\n", + "90. 1.58681880722068\n", + "91. 3.72439562047761\n", + "92. 3.21824739567772\n", + "93. 1.941600575357\n", + "94. 1.24542690481422\n", + "95. 1.10760048524079\n", + "96. 1.45033937783912\n", + "97. 6.18438791334805\n", + "98. 0.876334944787882\n", + "99. 2.44846837073679\n", + "100. 2.13394351915094\n", + "\n", + "\n", + "\n", + "60. 1. 3.62501868452964\n", + "2. 2.58895416599349\n", + "3. 5.5927710244489\n", + "4. 4.24715490797992\n", + "5. 11.7701377960251\n", + "6. 5.30283091576572\n", + "7. 9.62720301770391\n", + "8. 6.6311994216602\n", + "9. 3.27245654684763\n", + "10. 4.61107325018575\n", + "11. 7.89645941959815\n", + "12. 5.01553803983365\n", + "13. 5.28061542595453\n", + "14. 1.20709177344077\n", + "15. 1.43895548390084\n", + "16. 8.27730212222671\n", + "17. 9.35005096215396\n", + "18. 3.50793881607096\n", + "19. 4.02149510821081\n", + "20. 10.8964343582576\n", + "21. 1.72991092113574\n", + "22. 9.5060025658573\n", + "23. 2.24775476009659\n", + "24. 8.02220518703165\n", + "25. 8.43096120911778\n", + "26. 9.19924921655106\n", + "27. 4.32370679916701\n", + "28. 10.2612266074261\n", + "29. 5.17741330230099\n", + "30. 4.63087381560756\n", + "31. 4.77350501667491\n", + "32. 6.5580448646367\n", + "33. 5.82914185892771\n", + "34. 2.11486688423266\n", + "35. 1.67868169708576\n", + "36. 4.1487254727941\n", + "37. 0.978440769781861\n", + "38. 8.03246552140162\n", + "39. 2.38046868235638\n", + "40. 4.75898026238695\n", + "41. 1.1503170115275\n", + "42. 7.10161593072987\n", + "43. 2.73838162800032\n", + "44. 1.22295952247589\n", + "45. 11.4817785556716\n", + "46. 4.3618450571335\n", + "47. 8.00167132166056\n", + "48. 1.34598966179757\n", + "49. 3.40078342471614\n", + "50. 3.91277179025792\n", + "51. 4.76813606060536\n", + "52. 7.90537010558187\n", + "53. 4.49579419608372\n", + "54. 5.27451214537966\n", + "55. 3.56808186170992\n", + "56. 7.66480406885541\n", + "57. 0.917883668567753\n", + "58. 3.78025261033999\n", + "59. 2.41811141878126\n", + "60. 9.28021424763002\n", + "61. 2.46732657482991\n", + "62. 6.61937164807606\n", + "63. 9.56424018228021\n", + "64. 4.77357891283504\n", + "65. 2.37260264653929\n", + "66. 4.02153759355081\n", + "67. 4.42268870928261\n", + "68. 0.983937821255701\n", + "69. 6.48919355434787\n", + "70. 3.36416704086985\n", + "71. 4.35432927170572\n", + "72. 3.86862846932201\n", + "73. 5.55624013837896\n", + "74. 2.70228576876678\n", + "75. 3.12197513423293\n", + "76. 2.57598003518768\n", + "77. 8.2396280114144\n", + "78. 3.27625000779555\n", + "79. 2.99558146246639\n", + "80. 3.80017106395069\n", + "81. 9.71657899149987\n", + "82. 3.93840485981397\n", + "83. 11.062580431001\n", + "84. 4.37421208991537\n", + "85. 4.37269184902387\n", + "86. 8.4695405378476\n", + "87. 8.44917070626266\n", + "88. 5.70103168278853\n", + "89. 5.50036953699419\n", + "90. 1.99410312673675\n", + "91. 2.04277863858128\n", + "92. 5.37945991987117\n", + "93. 7.30096097440315\n", + "94. 8.70448260789637\n", + "95. 1.6521415504238\n", + "96. 3.93010572427367\n", + "97. 9.68593605371023\n", + "98. 5.52417398675777\n", + "99. 2.41926733279552\n", + "100. 3.98362324009221\n", + "\n", + "\n", + "\n", + "61. 1. 1.48827535415931\n", + "2. 5.43633966910043\n", + "3. 3.33333682240031\n", + "4. 1.55597391969109\n", + "5. 2.97070534025971\n", + "6. 1.21959661034713\n", + "7. 1.55314986653513\n", + "8. 1.76917809945395\n", + "9. 1.77828615516056\n", + "10. 1.37528633456446\n", + "11. 1.16662122047604\n", + "12. 3.35312131264366\n", + "13. 3.56741678517368\n", + "14. 4.69884652303142\n", + "15. 3.39015665475384\n", + "16. 1.07729172454337\n", + "17. 7.2080191988924\n", + "18. 1.55803149799454\n", + "19. 2.8489355722909\n", + "20. 3.82547186416913\n", + "21. 2.85408418683641\n", + "22. 1.47279692838657\n", + "23. 0.974909434566525\n", + "24. 1.82355037828908\n", + "25. 1.16047604783408\n", + "26. 1.01193466357524\n", + "27. 1.08135882700145\n", + "28. 1.08431483834908\n", + "29. 2.55005431861815\n", + "30. 2.91518198048057\n", + "31. 1.72880755996899\n", + "32. 3.53291638311291\n", + "33. 4.41107738086077\n", + "34. 2.4387364753423\n", + "35. 3.18173309309856\n", + "36. 2.50823352739989\n", + "37. 1.93147706050746\n", + "38. 0.825196225518795\n", + "39. 0.852313685168512\n", + "40. 3.11242744479189\n", + "41. 0.97262006409768\n", + "42. 4.40257003128781\n", + "43. 2.80129344721474\n", + "44. 3.03651099832823\n", + "45. 0.949101910254434\n", + "46. 1.17364221816514\n", + "47. 1.0447748141315\n", + "48. 1.36967158234668\n", + "49. 2.41592566129345\n", + "50. 1.60281155889247\n", + "51. 3.3139373604021\n", + "52. 2.06879174613065\n", + "53. 1.88126475847706\n", + "54. 1.85156515606211\n", + "55. 0.724243056501618\n", + "56. 1.51845633880448\n", + "57. 1.4793390056823\n", + "58. 1.87925176266308\n", + "59. 1.4169252741458\n", + "60. 5.26314871234411\n", + "61. 4.65566689504393\n", + "62. 1.06630354371771\n", + "63. 0.94763911171243\n", + "64. 1.99533928103187\n", + "65. 4.23508323444753\n", + "66. 1.85290138149366\n", + "67. 1.81356519534301\n", + "68. 1.58553129150694\n", + "69. 1.67168164864504\n", + "70. 1.19370522493028\n", + "71. 1.04827994388847\n", + "72. 0.917349523884919\n", + "73. 1.80808224905209\n", + "74. 3.25734480780483\n", + "75. 3.17387810371005\n", + "76. 8.02509431451826\n", + "77. 1.77056189749871\n", + "78. 1.26146658061463\n", + "79. 1.06988017393798\n", + "80. 8.6505579616709\n", + "81. 3.24810470498202\n", + "82. 2.17437133531438\n", + "83. 1.46349701533204\n", + "84. 2.3802730162823\n", + "85. 1.23187886673657\n", + "86. 0.826452891510799\n", + "87. 3.73143114057647\n", + "88. 2.66090290396797\n", + "89. 3.60395107818176\n", + "90. 0.84908852778945\n", + "91. 6.89333388202692\n", + "92. 6.3416091260163\n", + "93. 2.06631041327752\n", + "94. 0.922106884952717\n", + "95. 1.26117958160293\n", + "96. 1.65453795420402\n", + "97. 1.06788402782149\n", + "98. 1.77954517093897\n", + "99. 2.72926885210751\n", + "100. 1.83262868422017\n", + "\n", + "\n", + "\n", + "62. 1. 3.48661285509131\n", + "2. 4.66126675793736\n", + "3. 7.78800943287619\n", + "4. 3.42986600309031\n", + "5. 4.49668975987794\n", + "6. 5.79791578125878\n", + "7. 3.4716099753159\n", + "8. 3.57838344113571\n", + "9. 3.09920897262586\n", + "10. 11.3834583009092\n", + "11. 7.53093869379494\n", + "12. 3.45303469726856\n", + "13. 8.39472244982126\n", + "14. 3.37508382071225\n", + "15. 5.59942295912601\n", + "16. 1.66918673822002\n", + "17. 4.79825283050818\n", + "18. 1.80307964478831\n", + "19. 5.993890797697\n", + "20. 8.085234773759\n", + "21. 5.60973393097146\n", + "22. 4.2744042341778\n", + "23. 6.55357566591128\n", + "24. 7.77405831683621\n", + "25. 9.39409829354589\n", + "26. 2.86353613733475\n", + "27. 6.79639340932237\n", + "28. 3.0833569460351\n", + "29. 5.38978519603565\n", + "30. 10.7112665811121\n", + "31. 5.43881007719261\n", + "32. 5.3622216919971\n", + "33. 6.6605099608087\n", + "34. 5.36168772085437\n", + "35. 3.44573446937758\n", + "36. 5.42497494004645\n", + "37. 9.32616612070103\n", + "38. 2.392503643462\n", + "39. 5.99362753847443\n", + "40. 6.07145910714583\n", + "41. 6.44614023080021\n", + "42. 6.92529768979283\n", + "43. 7.24723897771229\n", + "44. 4.46071098760974\n", + "45. 5.59298206624259\n", + "46. 4.00154935984733\n", + "47. 3.00217986369245\n", + "48. 4.06973796718424\n", + "49. 4.77840113436891\n", + "50. 7.9559726694166\n", + "51. 8.84779232881735\n", + "52. 2.61992426208352\n", + "53. 7.14054650947536\n", + "54. 7.74248467904814\n", + "55. 3.97905994392941\n", + "56. 5.41115732964243\n", + "57. 6.57703644554474\n", + "58. 9.23757708655127\n", + "59. 5.50868782902284\n", + "60. 4.71092835858278\n", + "61. 2.96793774575056\n", + "62. 5.6640970433658\n", + "63. 9.49942727485825\n", + "64. 7.3245582131152\n", + "65. 2.27736420424888\n", + "66. 5.12392476414004\n", + "67. 4.21711281494455\n", + "68. 11.0373307945819\n", + "69. 7.37211124022718\n", + "70. 3.17787936050401\n", + "71. 4.64692822941772\n", + "72. 6.57380028979471\n", + "73. 6.42090938938591\n", + "74. 8.47832205876321\n", + "75. 11.0427768306318\n", + "76. 4.1614321365209\n", + "77. 4.36589676869638\n", + "78. 4.41317741252987\n", + "79. 6.35196400776173\n", + "80. 7.53395092029084\n", + "81. 4.82645643007696\n", + "82. 5.82414316923866\n", + "83. 2.51358796215667\n", + "84. 6.11223222115336\n", + "85. 3.32160433503759\n", + "86. 6.22282925420808\n", + "87. 2.82327468797282\n", + "88. 2.4384781208294\n", + "89. 2.42412007680761\n", + "90. 6.01672018919123\n", + "91. 9.7644942750278\n", + "92. 6.5611716662387\n", + "93. 1.62462087796028\n", + "94. 6.66266906429602\n", + "95. 6.16460222032915\n", + "96. 4.33369822646539\n", + "97. 9.31632915347516\n", + "98. 2.69236397508671\n", + "99. 5.62214040369034\n", + "100. 9.00332962873959\n", + "\n", + "\n", + "\n", + "63. 1. 5.82196661234418\n", + "2. 6.3440849971557\n", + "3. 7.92242456695107\n", + "4. 5.8553673869129\n", + "5. 8.35538932674749\n", + "6. 5.62087169550409\n", + "7. 6.22999510963976\n", + "8. 4.30574014375649\n", + "9. 9.53370190670528\n", + "10. 3.52958824476949\n", + "11. 7.51714033805879\n", + "12. 4.21238230832796\n", + "13. 3.63710982752803\n", + "14. 8.31209451982419\n", + "15. 1.96719118185958\n", + "16. 5.7982957842364\n", + "17. 5.61188736039403\n", + "18. 4.69372670919363\n", + "19. 2.09676244157449\n", + "20. 6.30797735600883\n", + "21. 5.43377300717187\n", + "22. 5.59564234218355\n", + "23. 5.83121117782475\n", + "24. 0.987783193434179\n", + "25. 3.5436457180677\n", + "26. 1.44658974655749\n", + "27. 4.28785718132334\n", + "28. 5.93588631332788\n", + "29. 4.79159380746777\n", + "30. 8.23783047795602\n", + "31. 2.35320405219643\n", + "32. 5.29949318438915\n", + "33. 4.42333815343767\n", + "34. 6.3123451276608\n", + "35. 5.23061868198891\n", + "36. 12.1465579246787\n", + "37. 1.37744506401689\n", + "38. 2.56268281637165\n", + "39. 7.84585053597922\n", + "40. 6.71513369320806\n", + "41. 5.65778356189898\n", + "42. 8.27959696625656\n", + "43. 10.8939064033024\n", + "44. 4.28605158447957\n", + "45. 9.91260964873328\n", + "46. 5.67630228180108\n", + "47. 8.43574161552146\n", + "48. 2.42162337265725\n", + "49. 2.24456665604841\n", + "50. 6.68061478867835\n", + "51. 5.55792034515452\n", + "52. 5.97166448845353\n", + "53. 2.55997164427666\n", + "54. 6.97660756302482\n", + "55. 3.3036417453396\n", + "56. 5.40966697501337\n", + "57. 6.27369651865841\n", + "58. 1.61546150276243\n", + "59. 4.59821373939856\n", + "60. 5.38477602828032\n", + "61. 2.23701788151851\n", + "62. 11.8297836975992\n", + "63. 4.69687878397786\n", + "64. 7.44608070567787\n", + "65. 4.268576611499\n", + "66. 6.88527504317753\n", + "67. 3.69950316446234\n", + "68. 5.09521978991863\n", + "69. 2.69311313361603\n", + "70. 4.71535964347879\n", + "71. 6.11661076693551\n", + "72. 9.54553203327212\n", + "73. 3.48109632074146\n", + "74. 4.72201709642203\n", + "75. 6.91999870715813\n", + "76. 11.1544310381634\n", + "77. 2.54224368162605\n", + "78. 3.43039395674078\n", + "79. 3.434047058007\n", + "80. 3.43389253608528\n", + "81. 3.83302602836636\n", + "82. 4.32685165130203\n", + "83. 5.17078950561172\n", + "84. 3.64635091852092\n", + "85. 4.34878689607615\n", + "86. 4.76228473644032\n", + "87. 1.66542025911393\n", + "88. 4.80854871412486\n", + "89. 4.74110239408286\n", + "90. 4.7694449711018\n", + "91. 6.70865974217386\n", + "92. 4.90501766107145\n", + "93. 4.56464214170722\n", + "94. 4.02154553087371\n", + "95. 7.04186132005635\n", + "96. 5.44378954416218\n", + "97. 2.8552623573378\n", + "98. 6.15858170203135\n", + "99. 6.21409586852007\n", + "100. 8.62162793864849\n", + "\n", + "\n", + "\n", + "64. 1. 6.57255235216265\n", + "2. 5.70181355601158\n", + "3. 4.0230075262997\n", + "4. 3.40910692542921\n", + "5. 6.0400899102248\n", + "6. 2.06633145992256\n", + "7. 4.68007431619482\n", + "8. 7.76037911053333\n", + "9. 4.95323161732713\n", + "10. 1.43560788144912\n", + "11. 6.35995174782748\n", + "12. 5.89914436638882\n", + "13. 1.60249336150285\n", + "14. 4.18883223686486\n", + "15. 1.48991723891449\n", + "16. 2.0043266252477\n", + "17. 5.24117648790127\n", + "18. 0.644130329854581\n", + "19. 4.82090280982217\n", + "20. 1.51811866067879\n", + "21. 5.74218188776276\n", + "22. 4.5603833068563\n", + "23. 4.22191342946908\n", + "24. 5.69962964017842\n", + "25. 4.3383583270356\n", + "26. 1.84688975126312\n", + "27. 6.51077896384864\n", + "28. 1.87965998047538\n", + "29. 5.256345298422\n", + "30. 7.90952121732168\n", + "31. 1.19315384920659\n", + "32. 7.04315264687979\n", + "33. 5.25953488683417\n", + "34. 5.74524694491661\n", + "35. 3.04915634366225\n", + "36. 3.57493111666224\n", + "37. 4.42004452848422\n", + "38. 9.12579990606482\n", + "39. 10.4310779434241\n", + "40. 2.35217457214267\n", + "41. 5.20789174578241\n", + "42. 3.60247452510239\n", + "43. 1.5373486789872\n", + "44. 4.31985567770418\n", + "45. 4.87558721329283\n", + "46. 2.96235548649209\n", + "47. 2.85612780621583\n", + "48. 3.18904358947389\n", + "49. 6.11508817730956\n", + "50. 1.55179399804595\n", + "51. 5.70589063126059\n", + "52. 9.00926971181126\n", + "53. 5.28256333216013\n", + "54. 10.2321706121322\n", + "55. 4.80727088828357\n", + "56. 3.78675563533258\n", + "57. 4.14150415509281\n", + "58. 1.73700268895861\n", + "59. 3.3268102824309\n", + "60. 1.65746873903754\n", + "61. 2.1869960063109\n", + "62. 4.17910768536135\n", + "63. 3.54637826114924\n", + "64. 6.57761765181824\n", + "65. 8.49294731618829\n", + "66. 3.64759544440366\n", + "67. 2.35880213797694\n", + "68. 1.7049665898066\n", + "69. 3.08732025390572\n", + "70. 2.34843238467199\n", + "71. 4.42988550185968\n", + "72. 5.34568162913167\n", + "73. 6.79956242762199\n", + "74. 5.24203361577532\n", + "75. 3.7776551874024\n", + "76. 4.5386283444628\n", + "77. 4.44188783855468\n", + "78. 3.02993975090394\n", + "79. 1.65895111337368\n", + "80. 2.61454742411464\n", + "81. 5.28094134034141\n", + "82. 1.42350387218384\n", + "83. 3.78808382769343\n", + "84. 1.03522109311924\n", + "85. 3.31014344660626\n", + "86. 1.04730610380482\n", + "87. 2.01586816011924\n", + "88. 1.91109383732418\n", + "89. 2.65447772763786\n", + "90. 4.86371277776315\n", + "91. 4.46179695473478\n", + "92. 1.43914165156692\n", + "93. 5.48444508977333\n", + "94. 5.77530035466912\n", + "95. 1.13350193640352\n", + "96. 3.24055377677617\n", + "97. 0.609933184694958\n", + "98. 10.4406373963521\n", + "99. 4.84226643112957\n", + "100. 3.25106785560855\n", + "\n", + "\n", + "\n", + "65. 1. 4.44751455265737\n", + "2. 3.14942218725516\n", + "3. 7.28344105664406\n", + "4. 3.77871904175937\n", + "5. 5.87421862216903\n", + "6. 1.33392035896608\n", + "7. 8.67764875674796\n", + "8. 4.48602275819072\n", + "9. 4.83330317326315\n", + "10. 4.54382803446352\n", + "11. 4.75457249519372\n", + "12. 2.61931598788459\n", + "13. 1.94499880582556\n", + "14. 2.79311074341478\n", + "15. 2.39778650335487\n", + "16. 3.28820854478449\n", + "17. 5.34741139520915\n", + "18. 6.11961508693143\n", + "19. 8.34932462366814\n", + "20. 0.530076432461662\n", + "21. 1.50417878558613\n", + "22. 2.42240662229553\n", + "23. 1.48182549550146\n", + "24. 5.69673338418503\n", + "25. 2.33098969723854\n", + "26. 4.65988445078399\n", + "27. 4.27442623780564\n", + "28. 4.41301805127891\n", + "29. 3.27923780329066\n", + "30. 5.17753653255897\n", + "31. 4.27090415612816\n", + "32. 6.74273808559724\n", + "33. 4.06901552208314\n", + "34. 10.2890414895646\n", + "35. 4.10454121861156\n", + "36. 4.78241521659887\n", + "37. 1.38784301826642\n", + "38. 4.17541509265395\n", + "39. 1.96969043737546\n", + "40. 7.01183308274637\n", + "41. 1.26189044968501\n", + "42. 4.001839985779\n", + "43. 6.14024653847978\n", + "44. 5.96613912733485\n", + "45. 3.33149779831049\n", + "46. 2.26713415515319\n", + "47. 5.19876579821278\n", + "48. 4.97854809643984\n", + "49. 3.48408470850706\n", + "50. 4.34923240809125\n", + "51. 0.825296513573258\n", + "52. 8.52518918541646\n", + "53. 5.87329867184069\n", + "54. 1.46183435791116\n", + "55. 0.921912642777703\n", + "56. 4.74102188015177\n", + "57. 6.80317169145167\n", + "58. 5.53105167572442\n", + "59. 2.67305476478806\n", + "60. 4.2446372991169\n", + "61. 4.92124029450493\n", + "62. 3.22452342160161\n", + "63. 9.54659925639583\n", + "64. 3.43419685681408\n", + "65. 5.27924052364862\n", + "66. 1.41090268777412\n", + "67. 1.56041560268931\n", + "68. 2.12754111070338\n", + "69. 1.43550732003307\n", + "70. 2.01032524555507\n", + "71. 2.39743863413821\n", + "72. 3.40527033196869\n", + "73. 4.53989534049424\n", + "74. 4.58258543284745\n", + "75. 4.11094270540803\n", + "76. 5.6798607188524\n", + "77. 5.30437955809858\n", + "78. 1.56730535956269\n", + "79. 2.2734593862228\n", + "80. 5.16713526829754\n", + "81. 2.41465833123418\n", + "82. 4.82097237440982\n", + "83. 2.47991288695669\n", + "84. 2.24531738237942\n", + "85. 4.72570219492889\n", + "86. 5.43791890061593\n", + "87. 3.23282287178911\n", + "88. 3.92849159054942\n", + "89. 1.78887965901287\n", + "90. 6.85362012046468\n", + "91. 1.9934826130995\n", + "92. 4.0271971035878\n", + "93. 5.15249567499092\n", + "94. 3.00439077366048\n", + "95. 4.59860269832018\n", + "96. 4.25113334473292\n", + "97. 3.8528993236297\n", + "98. 4.40966018031249\n", + "99. 6.43495260694734\n", + "100. 2.49686378915133\n", + "\n", + "\n", + "\n", + "66. 1. 1.51375439665552\n", + "2. 4.47753110955158\n", + "3. 4.14614726873427\n", + "4. 2.07517464146265\n", + "5. 5.53924784218249\n", + "6. 3.69268820098544\n", + "7. 3.65318702267366\n", + "8. 1.42907263600846\n", + "9. 3.75915556133581\n", + "10. 4.18485668907094\n", + "11. 3.04534106422614\n", + "12. 4.39668900686239\n", + "13. 4.41681250146186\n", + "14. 3.22287113131053\n", + "15. 5.84467956609512\n", + "16. 2.03679453903511\n", + "17. 8.17323548332712\n", + "18. 9.34728150163362\n", + "19. 2.83621657199905\n", + "20. 5.7937314935508\n", + "21. 6.63767241439246\n", + "22. 2.84666187633033\n", + "23. 2.25904818649522\n", + "24. 1.87798919013116\n", + "25. 4.2735673391445\n", + "26. 5.43804052468279\n", + "27. 4.1585433918703\n", + "28. 2.01144201367877\n", + "29. 1.09816840973608\n", + "30. 5.67437295810008\n", + "31. 2.932844767929\n", + "32. 4.39341628059227\n", + "33. 4.32195504689816\n", + "34. 5.55539617899728\n", + "35. 1.91489279774578\n", + "36. 2.38635735857761\n", + "37. 4.98348643781461\n", + "38. 2.40175556984997\n", + "39. 1.81274335106528\n", + "40. 3.1731093704082\n", + "41. 1.62351576827933\n", + "42. 4.1175142032787\n", + "43. 8.15433311471602\n", + "44. 2.56648547683552\n", + "45. 6.30681157019655\n", + "46. 8.1353199173184\n", + "47. 2.31688498219254\n", + "48. 4.99591688913709\n", + "49. 4.92607000190351\n", + "50. 1.42724797684055\n", + "51. 3.87354883363378\n", + "52. 8.36562136522861\n", + "53. 4.08750608177409\n", + "54. 2.49394198722645\n", + "55. 0.855323237211097\n", + "56. 5.15001170526212\n", + "57. 2.61900521865559\n", + "58. 3.10336190694571\n", + "59. 1.79196246329899\n", + "60. 1.62019891042657\n", + "61. 3.07272855942538\n", + "62. 2.30194041920034\n", + "63. 3.92164022522358\n", + "64. 2.83159003312629\n", + "65. 5.59052537832869\n", + "66. 1.9679600893414\n", + "67. 3.52438902416667\n", + "68. 3.40291427308689\n", + "69. 11.1576065165157\n", + "70. 5.8251301622305\n", + "71. 1.85349948312501\n", + "72. 5.78028545056817\n", + "73. 5.76376091638796\n", + "74. 2.19013004150852\n", + "75. 2.80000377793151\n", + "76. 2.63874585041507\n", + "77. 4.04071012169679\n", + "78. 6.20945295587978\n", + "79. 3.61743417622101\n", + "80. 3.79300639974168\n", + "81. 4.40570217621404\n", + "82. 4.40373564811017\n", + "83. 3.18638833079158\n", + "84. 3.49395201109671\n", + "85. 3.83710616319332\n", + "86. 3.43875662322798\n", + "87. 7.07786957844511\n", + "88. 4.05118161316334\n", + "89. 4.9924460370397\n", + "90. 1.23526480623016\n", + "91. 8.11537996426824\n", + "92. 6.14403842054554\n", + "93. 1.26301944543237\n", + "94. 5.04672909238209\n", + "95. 1.97764221677317\n", + "96. 2.5513465238087\n", + "97. 2.12053475950829\n", + "98. 4.67736025377998\n", + "99. 4.91444521698299\n", + "100. 5.63116691442471\n", + "\n", + "\n", + "\n", + "67. 1. 0.798550179401368\n", + "2. 0.923742335699283\n", + "3. 5.80692225457495\n", + "4. 5.26736674325647\n", + "5. 2.50902826487478\n", + "6. 4.29997968805775\n", + "7. 9.93092101193212\n", + "8. 4.16249324402896\n", + "9. 4.08357584215466\n", + "10. 1.10860331406563\n", + "11. 6.71707659418019\n", + "12. 5.80536127474914\n", + "13. 5.82131795129732\n", + "14. 1.46407135871037\n", + "15. 7.68472629372381\n", + "16. 9.85991978597532\n", + "17. 3.53062498854398\n", + "18. 4.85156337373068\n", + "19. 2.54409373558608\n", + "20. 6.52226573185941\n", + "21. 9.764882523667\n", + "22. 6.8960146210824\n", + "23. 9.25856470871389\n", + "24. 1.29545086440099\n", + "25. 2.35597129299289\n", + "26. 2.92436483697123\n", + "27. 1.84049172919322\n", + "28. 1.72046669504032\n", + "29. 9.08529434462761\n", + "30. 4.69028561209151\n", + "31. 5.82465864559408\n", + "32. 5.90705401874733\n", + "33. 4.01740871427286\n", + "34. 1.49135361922049\n", + "35. 3.87527755263613\n", + "36. 5.1423330902291\n", + "37. 5.13754763128956\n", + "38. 6.14065116419446\n", + "39. 3.36705865008199\n", + "40. 2.20449184002124\n", + "41. 1.66616255474929\n", + "42. 5.31724759742202\n", + "43. 7.43361210281145\n", + "44. 5.79248201860302\n", + "45. 2.7793469289098\n", + "46. 3.74545656950086\n", + "47. 4.50876694359768\n", + "48. 3.02550445843213\n", + "49. 5.15761092632977\n", + "50. 1.49918214982372\n", + "51. 6.27867803639517\n", + "52. 7.08530786945821\n", + "53. 2.40183329280945\n", + "54. 3.55952707260659\n", + "55. 5.62016085573608\n", + "56. 4.51996678784769\n", + "57. 2.47352281259584\n", + "58. 6.96193869125596\n", + "59. 1.40413755881777\n", + "60. 5.93852165338511\n", + "61. 2.33925849275367\n", + "62. 5.70667832015029\n", + "63. 3.1117957788759\n", + "64. 1.42356417217865\n", + "65. 5.77400423455833\n", + "66. 2.17066651272347\n", + "67. 3.02605451456146\n", + "68. 4.78698030105812\n", + "69. 0.822567216353025\n", + "70. 4.67166970768179\n", + "71. 5.21581624800457\n", + "72. 7.37549243283401\n", + "73. 8.52054024637886\n", + "74. 4.76115963563978\n", + "75. 4.17349624886973\n", + "76. 4.59846143480839\n", + "77. 4.82395826715324\n", + "78. 5.56730548773498\n", + "79. 6.11786950257202\n", + "80. 4.78142592725267\n", + "81. 5.41777262375951\n", + "82. 4.84969345917657\n", + "83. 1.78309809536849\n", + "84. 7.01642519022422\n", + "85. 10.4795878017509\n", + "86. 4.36299248528738\n", + "87. 8.23163145616919\n", + "88. 7.41817629330243\n", + "89. 3.37881064744991\n", + "90. 9.58956242715101\n", + "91. 8.56005833373336\n", + "92. 4.41114465653664\n", + "93. 3.79833355261353\n", + "94. 5.08973952229395\n", + "95. 2.91791303540019\n", + "96. 1.86194596305191\n", + "97. 5.1556587050125\n", + "98. 3.65049930252726\n", + "99. 5.4767284373068\n", + "100. 6.83189382136618\n", + "\n", + "\n", + "\n", + "68. 1. 0.864248860746498\n", + "2. 1.15484860117724\n", + "3. 2.59714985529143\n", + "4. 6.22700556559461\n", + "5. 9.91773645335148\n", + "6. 4.71889432347649\n", + "7. 3.24684596452741\n", + "8. 1.41318516130885\n", + "9. 2.11384055448055\n", + "10. 6.38194694816392\n", + "11. 5.03273079742121\n", + "12. 5.21845576497706\n", + "13. 10.028839968036\n", + "14. 3.08357861544214\n", + "15. 4.86981817772435\n", + "16. 4.09452225146458\n", + "17. 5.22067513017165\n", + "18. 3.52610801993777\n", + "19. 1.44882631474027\n", + "20. 3.19709426868719\n", + "21. 1.43372560851883\n", + "22. 2.6136473162444\n", + "23. 2.57853880586019\n", + "24. 6.30547656982644\n", + "25. 2.87913745534\n", + "26. 5.29325859694291\n", + "27. 4.32750076564561\n", + "28. 1.13263963748403\n", + "29. 5.20747534203781\n", + "30. 2.44628027936495\n", + "31. 4.56218846354685\n", + "32. 9.004599777701\n", + "33. 2.75661215976526\n", + "34. 1.98006935099698\n", + "35. 4.46720196727053\n", + "36. 2.17821664402199\n", + "37. 4.55373245941085\n", + "38. 1.51355853792104\n", + "39. 1.57173846960718\n", + "40. 1.9602465742387\n", + "41. 1.71942702604693\n", + "42. 1.32679407717308\n", + "43. 8.21898871200542\n", + "44. 3.18272222326128\n", + "45. 7.03206328048234\n", + "46. 4.24983172224388\n", + "47. 4.10544714937121\n", + "48. 1.76936386663209\n", + "49. 5.9769785423522\n", + "50. 2.18549408534674\n", + "51. 9.17315285976485\n", + "52. 6.95513035274158\n", + "53. 1.48569924757035\n", + "54. 5.64404723896267\n", + "55. 2.59216757093289\n", + "56. 1.15844789245421\n", + "57. 5.9609924776401\n", + "58. 1.8942592768867\n", + "59. 5.28009811803447\n", + "60. 0.778723662920295\n", + "61. 1.6759297343443\n", + "62. 4.9932820631922\n", + "63. 1.17538509333124\n", + "64. 7.4438168487321\n", + "65. 4.83211860442465\n", + "66. 4.27894534441447\n", + "67. 6.81943610713943\n", + "68. 1.73570862882857\n", + "69. 4.72884126789458\n", + "70. 4.01305559305869\n", + "71. 4.61249921822492\n", + "72. 8.48602626409846\n", + "73. 2.02635516282881\n", + "74. 8.29710897010386\n", + "75. 1.62315947913346\n", + "76. 1.77066845540692\n", + "77. 2.32931708918823\n", + "78. 2.64087424896601\n", + "79. 7.29781436001596\n", + "80. 6.86175865912156\n", + "81. 5.4970543578394\n", + "82. 5.05256754540549\n", + "83. 0.836952411706023\n", + "84. 2.0973156617608\n", + "85. 2.85883201512832\n", + "86. 2.15066816286559\n", + "87. 7.36505597360661\n", + "88. 4.45191587753493\n", + "89. 5.73299766505395\n", + "90. 2.03795820052907\n", + "91. 3.88535890031272\n", + "92. 0.743072959908006\n", + "93. 4.40205092497136\n", + "94. 5.32482066065398\n", + "95. 8.04777845890047\n", + "96. 2.09377942892305\n", + "97. 1.75164411693257\n", + "98. 1.19538575238583\n", + "99. 2.36796260556974\n", + "100. 2.82869337821629\n", + "\n", + "\n", + "\n", + "69. 1. 4.77751783555993\n", + "2. 1.50181340690474\n", + "3. 8.25315485509176\n", + "4. 8.82498067511228\n", + "5. 5.00245195143103\n", + "6. 4.61269762570983\n", + "7. 1.94354951422437\n", + "8. 4.71175456599913\n", + "9. 8.56202903701695\n", + "10. 3.17524115933875\n", + "11. 4.02976535475286\n", + "12. 6.02003817990587\n", + "13. 2.66550093025231\n", + "14. 8.70926809126115\n", + "15. 2.28556264117042\n", + "16. 2.52862548297492\n", + "17. 5.63332687485129\n", + "18. 1.02580534646053\n", + "19. 4.11869644669669\n", + "20. 5.23088208372365\n", + "21. 4.81915597546768\n", + "22. 2.3958989986212\n", + "23. 3.17935278587101\n", + "24. 4.03554291222752\n", + "25. 6.24293939992741\n", + "26. 3.13791590113189\n", + "27. 1.30108875329732\n", + "28. 2.47958070899339\n", + "29. 6.58794347313938\n", + "30. 1.72030330415514\n", + "31. 5.76915166888579\n", + "32. 2.67088426136107\n", + "33. 1.37925425338048\n", + "34. 4.54179023843474\n", + "35. 6.34911196183524\n", + "36. 5.35304220278855\n", + "37. 3.79733669943662\n", + "38. 6.9100526755127\n", + "39. 6.43327371482268\n", + "40. 6.14813376420596\n", + "41. 5.05048186333306\n", + "42. 5.05264670991222\n", + "43. 3.83433293115578\n", + "44. 2.26192864381509\n", + "45. 3.08707353259043\n", + "46. 2.44305116614695\n", + "47. 3.06245139716255\n", + "48. 1.51997415046064\n", + "49. 4.14685269635558\n", + "50. 3.18585116948172\n", + "51. 2.8203930881321\n", + "52. 2.32319306310323\n", + "53. 5.502792390916\n", + "54. 3.62245540570518\n", + "55. 6.99704023789941\n", + "56. 1.96630681109209\n", + "57. 5.07291019134841\n", + "58. 5.27686577609213\n", + "59. 4.72667038522742\n", + "60. 5.58363484889539\n", + "61. 8.63437964319233\n", + "62. 5.95721900992292\n", + "63. 1.02558625548393\n", + "64. 6.88165152471318\n", + "65. 4.55766525697807\n", + "66. 3.1252902196425\n", + "67. 3.77711129779361\n", + "68. 5.67132762366766\n", + "69. 2.36266293934458\n", + "70. 6.3407989456477\n", + "71. 6.42144109351047\n", + "72. 5.20313555603971\n", + "73. 4.13118905463681\n", + "74. 4.51702921354012\n", + "75. 3.82675592165334\n", + "76. 4.62911470590345\n", + "77. 3.38519911411192\n", + "78. 3.55762529402159\n", + "79. 6.08234994209306\n", + "80. 2.98132110665515\n", + "81. 3.26805106670941\n", + "82. 4.89828615617531\n", + "83. 2.20953220751425\n", + "84. 3.56176952786722\n", + "85. 4.26268716916761\n", + "86. 6.32436389533416\n", + "87. 2.20529271483538\n", + "88. 3.87296765032799\n", + "89. 9.27590984074186\n", + "90. 3.88793341108795\n", + "91. 1.5163301157392\n", + "92. 1.55697801979017\n", + "93. 5.63153542217501\n", + "94. 2.9099865494996\n", + "95. 4.31993156823129\n", + "96. 3.25115738355448\n", + "97. 3.21630608265071\n", + "98. 3.39392311699923\n", + "99. 4.80856008727909\n", + "100. 5.78557839441533\n", + "\n", + "\n", + "\n", + "70. 1. 4.57126946057161\n", + "2. 6.67789449202461\n", + "3. 8.66144256251643\n", + "4. 5.08386900505254\n", + "5. 2.30698152773658\n", + "6. 7.74280513653933\n", + "7. 7.04367435993431\n", + "8. 7.29566104291055\n", + "9. 5.10324661066667\n", + "10. 4.18370499455047\n", + "11. 5.2351162734055\n", + "12. 6.12270798861699\n", + "13. 8.07533221059011\n", + "14. 6.54842200256773\n", + "15. 1.44711630315727\n", + "16. 10.0708282135404\n", + "17. 6.72025952182293\n", + "18. 6.79482917890899\n", + "19. 7.12188230886894\n", + "20. 1.96824004379955\n", + "21. 7.24745371989986\n", + "22. 3.23249331240775\n", + "23. 4.55688503688717\n", + "24. 6.89095808900796\n", + "25. 11.2491984772142\n", + "26. 3.21493833278253\n", + "27. 5.92363157411528\n", + "28. 2.0434436301064\n", + "29. 5.63282719494979\n", + "30. 1.83848136654976\n", + "31. 4.43534240119918\n", + "32. 1.62696288552613\n", + "33. 4.48271603769048\n", + "34. 0.888087911017667\n", + "35. 1.02492905420767\n", + "36. 3.97245323242808\n", + "37. 4.91648947437417\n", + "38. 6.28689311385437\n", + "39. 3.39036953020881\n", + "40. 3.66685122960235\n", + "41. 5.10569272948829\n", + "42. 3.63785753121367\n", + "43. 5.79480153133099\n", + "44. 5.73731183117931\n", + "45. 2.06064135505717\n", + "46. 6.86320635767114\n", + "47. 7.38812059862335\n", + "48. 9.69628073975643\n", + "49. 4.49287728187392\n", + "50. 10.5455924850037\n", + "51. 3.96610803112858\n", + "52. 1.83871112553978\n", + "53. 2.47164880862859\n", + "54. 4.51672604791666\n", + "55. 8.48521359973934\n", + "56. 4.61596190107504\n", + "57. 3.73383272665975\n", + "58. 3.77793332394955\n", + "59. 5.06093746167596\n", + "60. 6.82789992096864\n", + "61. 0.794439113170829\n", + "62. 5.27295119194807\n", + "63. 3.01462467010128\n", + "64. 5.36740710722695\n", + "65. 4.79853599178977\n", + "66. 6.88229870797736\n", + "67. 2.90407608934002\n", + "68. 5.0456171888329\n", + "69. 6.84460280973204\n", + "70. 3.0106792374973\n", + "71. 4.75583394530189\n", + "72. 2.72691823572397\n", + "73. 2.81600610029068\n", + "74. 6.4369338851798\n", + "75. 4.93477380113252\n", + "76. 8.86229523172221\n", + "77. 2.32986340433591\n", + "78. 7.30818568713016\n", + "79. 5.81068407440525\n", + "80. 2.3111357039581\n", + "81. 5.248009725324\n", + "82. 6.16184711334239\n", + "83. 3.18430083496391\n", + "84. 5.37243936564175\n", + "85. 6.67334375913578\n", + "86. 5.94933145606543\n", + "87. 4.66558905804633\n", + "88. 6.32543115328418\n", + "89. 4.13889607838576\n", + "90. 7.68958884571917\n", + "91. 5.18739363452738\n", + "92. 5.51617411645692\n", + "93. 5.43449147114348\n", + "94. 2.45651674447292\n", + "95. 5.73928226886792\n", + "96. 2.81363685232315\n", + "97. 2.67131015040992\n", + "98. 2.78294355985262\n", + "99. 6.22265905538699\n", + "100. 5.01665141975664\n", + "\n", + "\n", + "\n", + "71. 1. 1.76890301951349\n", + "2. 2.35808133016208\n", + "3. 2.32717963576327\n", + "4. 1.01316212750966\n", + "5. 3.16842886701011\n", + "6. 2.371767499237\n", + "7. 5.4321482676727\n", + "8. 6.309141226879\n", + "9. 3.30310747934082\n", + "10. 1.47076833210492\n", + "11. 2.0241974194176\n", + "12. 0.706450142623091\n", + "13. 1.4237629980295\n", + "14. 4.92854523010404\n", + "15. 6.12462690965654\n", + "16. 2.13991511122868\n", + "17. 1.64941919204715\n", + "18. 5.95049973627339\n", + "19. 2.04080286638916\n", + "20. 5.65887317966678\n", + "21. 2.14597982281958\n", + "22. 4.91937749450455\n", + "23. 2.18784884274075\n", + "24. 1.82358446725639\n", + "25. 2.70432029149942\n", + "26. 7.85532649365976\n", + "27. 1.70169920510855\n", + "28. 1.60482054548604\n", + "29. 2.28030628218061\n", + "30. 2.38103084444185\n", + "31. 3.69140919378551\n", + "32. 5.01993513579494\n", + "33. 1.67993980509774\n", + "34. 6.84249096950267\n", + "35. 2.03738155966197\n", + "36. 1.76733405714144\n", + "37. 1.39953649278469\n", + "38. 4.60161694833327\n", + "39. 4.07948819141959\n", + "40. 2.4969775444667\n", + "41. 0.647654284781368\n", + "42. 2.74866501461501\n", + "43. 1.98241083867288\n", + "44. 1.3522876727035\n", + "45. 1.24530416542352\n", + "46. 1.19064488752225\n", + "47. 1.80975191206809\n", + "48. 6.84917851467468\n", + "49. 2.17408146933423\n", + "50. 1.95320826455444\n", + "51. 1.66289807666762\n", + "52. 1.47357892798773\n", + "53. 4.60223350971\n", + "54. 5.49934321501642\n", + "55. 4.73216161030266\n", + "56. 0.960089442652559\n", + "57. 1.69257643347035\n", + "58. 5.53034681551115\n", + "59. 1.85841468458776\n", + "60. 6.21060855537297\n", + "61. 7.68376242838788\n", + "62. 1.92138993759571\n", + "63. 1.8104486831727\n", + "64. 9.17549585661261\n", + "65. 2.40373001941394\n", + "66. 1.14742835126398\n", + "67. 5.39934441962477\n", + "68. 2.02391568762562\n", + "69. 2.34335180824849\n", + "70. 1.34530859748677\n", + "71. 0.631007262470096\n", + "72. 1.04488082206399\n", + "73. 1.29306791527893\n", + "74. 2.33599836266792\n", + "75. 1.5091546562768\n", + "76. 1.92062581932371\n", + "77. 7.31072447260951\n", + "78. 1.78085354949817\n", + "79. 3.72662556859318\n", + "80. 0.993406956587849\n", + "81. 2.0778841940522\n", + "82. 1.42705952042098\n", + "83. 2.38551153295107\n", + "84. 1.45128983404975\n", + "85. 1.9458155814271\n", + "86. 7.28996182405847\n", + "87. 1.34557864272403\n", + "88. 1.40484472812475\n", + "89. 2.49251448417875\n", + "90. 2.42247105972821\n", + "91. 1.90905120829618\n", + "92. 2.36341110525606\n", + "93. 2.7495939038477\n", + "94. 1.77684968635\n", + "95. 1.55937636863072\n", + "96. 1.48483136607147\n", + "97. 1.37806901249374\n", + "98. 2.10338829674666\n", + "99. 2.0533066104242\n", + "100. 2.25102566115827\n", + "\n", + "\n", + "\n", + "72. 1. 1.68724685714191\n", + "2. 6.74565703868783\n", + "3. 2.05227579685218\n", + "4. 4.62470949807199\n", + "5. 4.35961833702995\n", + "6. 7.03805100933127\n", + "7. 6.91738080345335\n", + "8. 1.65101826860077\n", + "9. 5.75863073691877\n", + "10. 8.15941994802588\n", + "11. 6.63690643656374\n", + "12. 1.90960321369548\n", + "13. 3.97553051870025\n", + "14. 5.59176808975252\n", + "15. 0.951022814718906\n", + "16. 5.61249523321017\n", + "17. 8.34639659650653\n", + "18. 5.22003267582681\n", + "19. 3.36039501634152\n", + "20. 4.97378123248922\n", + "21. 7.3031570019723\n", + "22. 8.48525909863797\n", + "23. 7.51844557721893\n", + "24. 1.99209000332753\n", + "25. 2.68284280611456\n", + "26. 3.00374012743892\n", + "27. 2.66754453369689\n", + "28. 5.18547150879402\n", + "29. 5.31810238789214\n", + "30. 2.68295614436435\n", + "31. 7.61933576299034\n", + "32. 1.20825848050844\n", + "33. 6.18937092150357\n", + "34. 1.77342506656351\n", + "35. 4.1955770923176\n", + "36. 1.54391116664641\n", + "37. 6.14486253053876\n", + "38. 3.77450182521995\n", + "39. 8.29751606668701\n", + "40. 2.79854468804304\n", + "41. 5.9874683625307\n", + "42. 4.4495072906609\n", + "43. 4.75961576780932\n", + "44. 6.9072694528598\n", + "45. 3.39761345841932\n", + "46. 3.81318847776908\n", + "47. 2.24878593200296\n", + "48. 4.7059875162537\n", + "49. 4.31403880336294\n", + "50. 1.99549915738472\n", + "51. 6.62303308481327\n", + "52. 4.93888799050867\n", + "53. 4.03515860223552\n", + "54. 8.32023340175775\n", + "55. 6.93276126772945\n", + "56. 5.23045296860607\n", + "57. 2.95069349170613\n", + "58. 6.78473401644452\n", + "59. 4.07082337627285\n", + "60. 6.06477218502409\n", + "61. 3.1924197760028\n", + "62. 2.46099328550326\n", + "63. 3.58666575259936\n", + "64. 3.13510988390331\n", + "65. 6.69649840958025\n", + "66. 7.26569780679599\n", + "67. 2.54061982302086\n", + "68. 8.53881027571375\n", + "69. 3.00221870191138\n", + "70. 2.46237442522211\n", + "71. 1.5043483254728\n", + "72. 4.02013594789082\n", + "73. 6.45288263580192\n", + "74. 6.66101552292097\n", + "75. 1.67198192383781\n", + "76. 2.84899978080922\n", + "77. 9.41439438519734\n", + "78. 7.10524346170967\n", + "79. 3.42567545216714\n", + "80. 4.61684580600752\n", + "81. 2.73273369247762\n", + "82. 8.67556445153399\n", + "83. 6.68219910569444\n", + "84. 3.8641769773138\n", + "85. 3.17751040202421\n", + "86. 4.97231501074581\n", + "87. 9.22250835320553\n", + "88. 7.51653425044393\n", + "89. 3.44812462243703\n", + "90. 3.37019850233068\n", + "91. 5.53657783240604\n", + "92. 3.53901827583571\n", + "93. 7.84682149621883\n", + "94. 2.94029390649876\n", + "95. 5.93701060639764\n", + "96. 7.2854715066372\n", + "97. 8.0389513305499\n", + "98. 7.12051800773126\n", + "99. 8.02715666613302\n", + "100. 0.464174419573987\n", + "\n", + "\n", + "\n", + "73. 1. 2.36664681785727\n", + "2. 2.77601294624839\n", + "3. 2.38613122899192\n", + "4. 4.49407238564666\n", + "5. 5.70479349077544\n", + "6. 2.02107135791292\n", + "7. 3.03277077712552\n", + "8. 1.26585722387425\n", + "9. 2.60663605304721\n", + "10. 0.968271582478798\n", + "11. 1.26153244262782\n", + "12. 3.02361969621647\n", + "13. 6.19279825183431\n", + "14. 4.15865897814283\n", + "15. 2.91640071256775\n", + "16. 1.18626334537743\n", + "17. 3.62367043672678\n", + "18. 3.13476048328428\n", + "19. 1.16757630180125\n", + "20. 2.13371341942681\n", + "21. 2.30508613333178\n", + "22. 3.28113363557286\n", + "23. 0.910468479718342\n", + "24. 2.82934823683648\n", + "25. 7.17454821852384\n", + "26. 9.27102598658334\n", + "27. 4.23298345572091\n", + "28. 2.73912137840392\n", + "29. 2.15493618241705\n", + "30. 2.1176285311807\n", + "31. 7.76152584622374\n", + "32. 3.15497836683579\n", + "33. 4.16488010433798\n", + "34. 1.99522540045737\n", + "35. 7.14460783747474\n", + "36. 1.6399682720975\n", + "37. 9.29988614593807\n", + "38. 1.00421914718954\n", + "39. 4.14661842371022\n", + "40. 4.05597621311141\n", + "41. 3.81631346677624\n", + "42. 5.49621282406382\n", + "43. 2.78293351913579\n", + "44. 4.63100572260854\n", + "45. 7.41626676183171\n", + "46. 4.98159053437918\n", + "47. 3.87477677661819\n", + "48. 3.57808369902723\n", + "49. 2.41821392355958\n", + "50. 4.06018144877877\n", + "51. 1.73933882525882\n", + "52. 2.30394374831065\n", + "53. 3.47310211207815\n", + "54. 3.66794425106924\n", + "55. 1.66138121908064\n", + "56. 3.52663246650176\n", + "57. 4.32571189751078\n", + "58. 5.2714383963109\n", + "59. 0.917996115579281\n", + "60. 4.94818581284054\n", + "61. 3.15475732254757\n", + "62. 1.34928899689317\n", + "63. 4.41178282876862\n", + "64. 6.39088086745739\n", + "65. 1.14728970625118\n", + "66. 3.51572691329325\n", + "67. 6.53238843993024\n", + "68. 8.47651191517359\n", + "69. 2.17989085454754\n", + "70. 3.5834778521308\n", + "71. 4.46337856429022\n", + "72. 0.74206741862672\n", + "73. 1.77890603552098\n", + "74. 7.03103159114305\n", + "75. 6.79708021070178\n", + "76. 1.66877862560933\n", + "77. 1.65930707091079\n", + "78. 2.06641233869669\n", + "79. 4.6188084903449\n", + "80. 2.22608289946346\n", + "81. 4.5247607331794\n", + "82. 6.76063160984919\n", + "83. 3.96291159276653\n", + "84. 1.6059723411629\n", + "85. 3.22519059904037\n", + "86. 5.44540620420698\n", + "87. 1.26597844736615\n", + "88. 4.41748823585523\n", + "89. 1.95896668295379\n", + "90. 1.94844358461935\n", + "91. 2.48340730728561\n", + "92. 1.84767360671631\n", + "93. 4.60459124946241\n", + "94. 2.1455819008596\n", + "95. 6.19212283547296\n", + "96. 6.17472109628057\n", + "97. 5.04510878074405\n", + "98. 2.62807125481203\n", + "99. 10.9950404661993\n", + "100. 1.74907606967841\n", + "\n", + "\n", + "\n", + "74. 1. 5.62398110675792\n", + "2. 5.68641255995366\n", + "3. 2.36196789518933\n", + "4. 0.855563942450975\n", + "5. 2.59886217902757\n", + "6. 7.60041373222786\n", + "7. 4.5838122734276\n", + "8. 5.36312398004334\n", + "9. 1.32655785553643\n", + "10. 0.883131784541811\n", + "11. 6.25286085858813\n", + "12. 3.24822909610501\n", + "13. 3.93312507238832\n", + "14. 2.66447314073024\n", + "15. 6.87319725439073\n", + "16. 0.72734678332967\n", + "17. 3.95641891728055\n", + "18. 3.55605706164376\n", + "19. 4.5558571257781\n", + "20. 2.20464974083312\n", + "21. 5.05334987822719\n", + "22. 4.42342398702277\n", + "23. 6.78222616074616\n", + "24. 2.42628752359015\n", + "25. 1.43400208641987\n", + "26. 3.82472076972783\n", + "27. 4.82925469678008\n", + "28. 3.64792995986784\n", + "29. 2.94763349430715\n", + "30. 3.35112698232879\n", + "31. 1.10213949907312\n", + "32. 2.64829260752775\n", + "33. 2.22849488920324\n", + "34. 4.70906479781339\n", + "35. 2.49156368232667\n", + "36. 1.4705913203373\n", + "37. 2.81338788124063\n", + "38. 4.33288166245358\n", + "39. 2.46801568239411\n", + "40. 4.46578904670329\n", + "41. 3.67120508186403\n", + "42. 3.70539216811631\n", + "43. 2.88427673956826\n", + "44. 5.04006325520057\n", + "45. 6.14472049689907\n", + "46. 1.97641698237625\n", + "47. 3.84161299375885\n", + "48. 5.50592452927114\n", + "49. 6.88539486606607\n", + "50. 1.33561607018903\n", + "51. 4.81191731976499\n", + "52. 8.49763880007359\n", + "53. 5.44320737076765\n", + "54. 2.71177624069938\n", + "55. 3.61171025806985\n", + "56. 2.34012411720224\n", + "57. 4.11345676889389\n", + "58. 2.02086910682288\n", + "59. 0.731584867413021\n", + "60. 1.97285184588474\n", + "61. 2.90802786649531\n", + "62. 1.27339602785075\n", + "63. 0.968865903276661\n", + "64. 3.11356364061014\n", + "65. 5.96833454348547\n", + "66. 2.38737670888344\n", + "67. 5.23847411679569\n", + "68. 2.00340874360239\n", + "69. 4.65876639020708\n", + "70. 5.88989056231236\n", + "71. 4.80698663778913\n", + "72. 1.37142284199291\n", + "73. 1.70499554262267\n", + "74. 2.2826669749161\n", + "75. 2.33043764336848\n", + "76. 2.33939243862777\n", + "77. 6.14479504706258\n", + "78. 1.06507076730129\n", + "79. 7.44840930095078\n", + "80. 1.73192065882674\n", + "81. 5.84692384203525\n", + "82. 0.721130168207449\n", + "83. 8.70025465789412\n", + "84. 1.55810629681131\n", + "85. 0.52306237776899\n", + "86. 4.03600221634411\n", + "87. 3.52190849522985\n", + "88. 1.36060912871804\n", + "89. 6.54883771091863\n", + "90. 3.82478701912917\n", + "91. 6.77978985739357\n", + "92. 2.59340344909351\n", + "93. 3.75799624279437\n", + "94. 5.20372956504532\n", + "95. 2.25787579972875\n", + "96. 3.00924321357015\n", + "97. 4.94198687290991\n", + "98. 4.74425243907728\n", + "99. 1.6522630141544\n", + "100. 3.73722704264112\n", + "\n", + "\n", + "\n", + "75. 1. 7.90531782462874\n", + "2. 7.20257655123111\n", + "3. 5.6533401037784\n", + "4. 7.56899961860696\n", + "5. 2.58939305900031\n", + "6. 5.49776533857881\n", + "7. 5.18126355420917\n", + "8. 1.57892394570075\n", + "9. 1.75536185991529\n", + "10. 3.16923811758399\n", + "11. 7.72321615951583\n", + "12. 7.67494029246021\n", + "13. 7.97921414747413\n", + "14. 4.00560530639551\n", + "15. 6.88121858741306\n", + "16. 8.60691391259484\n", + "17. 1.53939159723576\n", + "18. 6.52206177232123\n", + "19. 3.02459952532313\n", + "20. 2.84676533706148\n", + "21. 7.03624579821638\n", + "22. 4.70941210900667\n", + "23. 5.25677218366363\n", + "24. 5.27253219091009\n", + "25. 5.24478412007212\n", + "26. 4.42161092472613\n", + "27. 3.3560263954528\n", + "28. 5.26735331553799\n", + "29. 5.54639243446525\n", + "30. 4.80447775464904\n", + "31. 2.00877716611255\n", + "32. 5.68249958126617\n", + "33. 1.64484768384717\n", + "34. 4.77996566873754\n", + "35. 7.77252567710155\n", + "36. 10.1324141396795\n", + "37. 5.98460470730715\n", + "38. 7.20990363016213\n", + "39. 3.99068044173922\n", + "40. 7.15105035593642\n", + "41. 13.103124896867\n", + "42. 5.42571071202057\n", + "43. 3.55464663182209\n", + "44. 8.81142720257678\n", + "45. 4.23804188735546\n", + "46. 6.15828589087086\n", + "47. 8.91775529589952\n", + "48. 1.77121125574905\n", + "49. 4.78805677993846\n", + "50. 2.56700219440337\n", + "51. 5.53878262683257\n", + "52. 4.71660045120364\n", + "53. 8.03303017581091\n", + "54. 5.29429917054268\n", + "55. 2.68432311719526\n", + "56. 3.58202058444011\n", + "57. 4.13683526427099\n", + "58. 7.8346773120235\n", + "59. 1.70124394286585\n", + "60. 5.34526257167202\n", + "61. 3.29307790673731\n", + "62. 3.07807978833358\n", + "63. 4.46810657119909\n", + "64. 6.70603347409933\n", + "65. 9.51677935864208\n", + "66. 9.35235308261427\n", + "67. 5.70736539240379\n", + "68. 9.66069096660915\n", + "69. 1.51042076422242\n", + "70. 7.23701128748002\n", + "71. 6.77785574189856\n", + "72. 3.49277128257123\n", + "73. 2.31845472836781\n", + "74. 7.23955234367888\n", + "75. 3.82754711477808\n", + "76. 5.35210095719964\n", + "77. 2.32138800160338\n", + "78. 5.20802447124672\n", + "79. 7.49050237423831\n", + "80. 1.78198479499639\n", + "81. 2.03206019528869\n", + "82. 7.97135561712661\n", + "83. 3.57127024864494\n", + "84. 8.56661841647173\n", + "85. 5.61433816872817\n", + "86. 3.57444797954702\n", + "87. 9.39712728101147\n", + "88. 3.65601133381828\n", + "89. 9.46553427990786\n", + "90. 8.37365606002236\n", + "91. 2.90263409534986\n", + "92. 3.27855505903102\n", + "93. 6.26558677213685\n", + "94. 5.21139913005243\n", + "95. 4.29419135514377\n", + "96. 6.10189298413976\n", + "97. 7.83456158072985\n", + "98. 4.63578236303666\n", + "99. 10.8092324297904\n", + "100. 4.78410419848852\n", + "\n", + "\n", + "\n", + "76. 1. 1.92858267979847\n", + "2. 2.45667867967509\n", + "3. 5.40983138478311\n", + "4. 4.23854469610801\n", + "5. 3.8539555127365\n", + "6. 3.64350380703555\n", + "7. 5.48160244597936\n", + "8. 2.37088364646444\n", + "9. 3.80656887608981\n", + "10. 3.84541922723865\n", + "11. 7.85047633229938\n", + "12. 1.2578939072354\n", + "13. 4.33254837559678\n", + "14. 2.16610452179504\n", + "15. 3.25647487744186\n", + "16. 2.78318564603223\n", + "17. 7.1573982310228\n", + "18. 3.73121055900275\n", + "19. 1.96117677085909\n", + "20. 1.05282147144184\n", + "21. 4.79510160248661\n", + "22. 4.57300423656086\n", + "23. 4.14058324079775\n", + "24. 4.07542872462257\n", + "25. 8.77323271709911\n", + "26. 1.09582461296871\n", + "27. 1.68038984473763\n", + "28. 2.50939939615437\n", + "29. 1.48413677217943\n", + "30. 2.55810344839692\n", + "31. 7.08433942186827\n", + "32. 6.25738709574697\n", + "33. 1.82597398572648\n", + "34. 2.69746964841467\n", + "35. 2.10946639608503\n", + "36. 5.04019199722145\n", + "37. 2.31702956847806\n", + "38. 3.02824680596251\n", + "39. 3.16115561402284\n", + "40. 0.607539496336267\n", + "41. 4.21005945179356\n", + "42. 7.46142505623914\n", + "43. 6.13394172051576\n", + "44. 4.29010211536866\n", + "45. 3.21756566031033\n", + "46. 4.7503755618283\n", + "47. 3.0109352623241\n", + "48. 4.80575750080885\n", + "49. 4.48710038974147\n", + "50. 3.20094331124274\n", + "51. 4.22594009179389\n", + "52. 4.7754874527556\n", + "53. 2.72830272678367\n", + "54. 6.08008902756599\n", + "55. 6.30233865090427\n", + "56. 5.51823371487881\n", + "57. 7.12155176788912\n", + "58. 2.75527886816835\n", + "59. 1.88196539060849\n", + "60. 4.6316655487501\n", + "61. 5.753572808507\n", + "62. 3.56347313717286\n", + "63. 5.2006223463376\n", + "64. 3.06690743375782\n", + "65. 4.11732508402559\n", + "66. 3.0003824851772\n", + "67. 5.09566614303124\n", + "68. 7.40802860947846\n", + "69. 6.31471823552189\n", + "70. 6.04169255143855\n", + "71. 2.86456543393306\n", + "72. 0.640414458655232\n", + "73. 7.93205668300081\n", + "74. 3.72416028325457\n", + "75. 6.36921820719019\n", + "76. 1.52185675017095\n", + "77. 3.82604604781798\n", + "78. 9.36279688548687\n", + "79. 3.94750750958785\n", + "80. 6.60583634462371\n", + "81. 3.96456988293866\n", + "82. 3.9221912207592\n", + "83. 3.18355371001192\n", + "84. 8.35316883878029\n", + "85. 3.61002634367052\n", + "86. 1.80075585655829\n", + "87. 1.46170382067863\n", + "88. 5.09050737073624\n", + "89. 8.67175385337746\n", + "90. 3.76282008539575\n", + "91. 5.61272801798732\n", + "92. 4.88968986489022\n", + "93. 3.71654903171078\n", + "94. 2.50674401716422\n", + "95. 8.89696690734481\n", + "96. 0.458652398843423\n", + "97. 1.92299705264796\n", + "98. 7.49407861460278\n", + "99. 4.67517756630571\n", + "100. 4.49758713212449\n", + "\n", + "\n", + "\n", + "77. 1. 3.59028023387257\n", + "2. 6.01251342849806\n", + "3. 8.618265282966\n", + "4. 4.41774413314925\n", + "5. 4.09351050610562\n", + "6. 3.18801230560855\n", + "7. 3.91145339598298\n", + "8. 9.50965808631363\n", + "9. 2.64316825605868\n", + "10. 1.55387565665353\n", + "11. 4.59953165231454\n", + "12. 4.31513002391714\n", + "13. 5.20358144502151\n", + "14. 3.59261480145641\n", + "15. 11.7628753400434\n", + "16. 8.8593635070269\n", + "17. 4.69684738024792\n", + "18. 1.956798774481\n", + "19. 3.69949377824965\n", + "20. 4.34542185692764\n", + "21. 7.55280364569974\n", + "22. 1.45455867261845\n", + "23. 4.3531081408908\n", + "24. 7.01094217278256\n", + "25. 5.56780519172071\n", + "26. 5.82428339970147\n", + "27. 1.95477799414659\n", + "28. 9.39237266697766\n", + "29. 4.73243395870216\n", + "30. 1.52603694574156\n", + "31. 2.08718854587635\n", + "32. 8.69656765774255\n", + "33. 6.52344887753335\n", + "34. 1.33449366404739\n", + "35. 7.89920680250551\n", + "36. 4.58230425848237\n", + "37. 4.15788120063269\n", + "38. 3.797425540728\n", + "39. 10.1233111742835\n", + "40. 6.89188528022441\n", + "41. 5.34299976912578\n", + "42. 2.43793869937055\n", + "43. 5.35867076026804\n", + "44. 3.48833208067212\n", + "45. 6.53443285731655\n", + "46. 3.52481335593989\n", + "47. 4.64307763986938\n", + "48. 4.48515384938232\n", + "49. 3.23261270863304\n", + "50. 2.76024768680497\n", + "51. 1.97363237698098\n", + "52. 1.0015445034076\n", + "53. 5.16902881266169\n", + "54. 6.64151505853051\n", + "55. 8.66875197096133\n", + "56. 5.22746740297675\n", + "57. 7.06888927330999\n", + "58. 4.04298795717853\n", + "59. 6.74174517078659\n", + "60. 2.00961476046592\n", + "61. 2.93878769123303\n", + "62. 3.09151833290652\n", + "63. 3.74869615061374\n", + "64. 6.61125072405665\n", + "65. 4.57062865257686\n", + "66. 4.01078863504626\n", + "67. 8.15891238059483\n", + "68. 7.26355790708185\n", + "69. 5.91879640002429\n", + "70. 5.52061569825871\n", + "71. 3.7839179504047\n", + "72. 2.64438725337069\n", + "73. 5.7724879401703\n", + "74. 5.58309958385448\n", + "75. 4.19682963800992\n", + "76. 6.99847077513961\n", + "77. 9.18292545689315\n", + "78. 4.30433955404019\n", + "79. 5.26992589075173\n", + "80. 5.64378831960982\n", + "81. 5.0444372541286\n", + "82. 8.00280299221965\n", + "83. 6.17284055737545\n", + "84. 8.37957184554523\n", + "85. 3.19963884976345\n", + "86. 2.75937565468969\n", + "87. 5.24424439043278\n", + "88. 9.88787261026108\n", + "89. 5.39198579832037\n", + "90. 2.88284820135011\n", + "91. 5.53912705405402\n", + "92. 2.12015165580105\n", + "93. 5.80932474670468\n", + "94. 3.4054931418835\n", + "95. 4.29763107342855\n", + "96. 6.96103520566554\n", + "97. 4.87179490175875\n", + "98. 3.17022563977758\n", + "99. 9.12627469667802\n", + "100. 5.12403113849852\n", + "\n", + "\n", + "\n", + "78. 1. 1.94793670411395\n", + "2. 3.16067267130492\n", + "3. 3.8055622571335\n", + "4. 2.75162273128246\n", + "5. 4.37063859215793\n", + "6. 2.23169414586367\n", + "7. 3.07535275309013\n", + "8. 1.880669559654\n", + "9. 4.83342686063492\n", + "10. 1.1515632138607\n", + "11. 9.03331309979651\n", + "12. 5.44924987047318\n", + "13. 0.765191732737539\n", + "14. 2.09233888655516\n", + "15. 5.30492417146938\n", + "16. 2.00967359882847\n", + "17. 9.66210133884159\n", + "18. 5.92493939261149\n", + "19. 4.29730343661001\n", + "20. 1.19789857525852\n", + "21. 5.2104858465909\n", + "22. 2.67646721162205\n", + "23. 1.16539069890377\n", + "24. 1.14145025072305\n", + "25. 2.21307944881042\n", + "26. 3.63045736494087\n", + "27. 6.35752188978308\n", + "28. 4.68818962736395\n", + "29. 3.2655082708417\n", + "30. 5.49420651901625\n", + "31. 5.82370236255514\n", + "32. 3.75888712152913\n", + "33. 2.94357124447215\n", + "34. 13.1719556423033\n", + "35. 2.32175703189743\n", + "36. 1.1542436600908\n", + "37. 6.65834422301827\n", + "38. 8.29227049688329\n", + "39. 1.82522028428172\n", + "40. 2.45180202069784\n", + "41. 2.27774194268154\n", + "42. 2.67994542634166\n", + "43. 4.71303814879086\n", + "44. 6.61696474699302\n", + "45. 3.46498801425795\n", + "46. 1.40927670232913\n", + "47. 9.0458488429156\n", + "48. 0.997448556050137\n", + "49. 1.36920313658581\n", + "50. 5.13410112124035\n", + "51. 4.51842682737289\n", + "52. 1.68467284196848\n", + "53. 6.27233854486288\n", + "54. 1.27974383585671\n", + "55. 1.67164579181508\n", + "56. 5.7821539401743\n", + "57. 3.03538908127516\n", + "58. 8.5564638316521\n", + "59. 4.91845659849994\n", + "60. 5.05163279798455\n", + "61. 5.99120697797306\n", + "62. 2.41057607320869\n", + "63. 1.11933694414065\n", + "64. 10.7115544310654\n", + "65. 2.30085689600468\n", + "66. 1.46205552151468\n", + "67. 2.69136683405351\n", + "68. 3.85912741102065\n", + "69. 1.79301517014076\n", + "70. 0.906464714140667\n", + "71. 2.03475543135889\n", + "72. 3.65278939364393\n", + "73. 6.90457449898015\n", + "74. 2.70337560269498\n", + "75. 3.47589276518529\n", + "76. 4.68343155431658\n", + "77. 1.63015288487965\n", + "78. 2.25194332668785\n", + "79. 3.60485934091873\n", + "80. 8.23149583837058\n", + "81. 1.72000755070527\n", + "82. 4.30186817746626\n", + "83. 5.82888142712232\n", + "84. 6.31594250309454\n", + "85. 6.12143346664793\n", + "86. 7.85654102380332\n", + "87. 3.22155464407334\n", + "88. 5.76868208548247\n", + "89. 1.78995636093329\n", + "90. 9.07728112116882\n", + "91. 2.97801937028629\n", + "92. 4.19478052788225\n", + "93. 7.36397244310663\n", + "94. 4.09430894695732\n", + "95. 3.93182517093913\n", + "96. 1.75968797062713\n", + "97. 2.97310925387295\n", + "98. 7.05751553110251\n", + "99. 3.16899612667128\n", + "100. 11.6804223681324\n", + "\n", + "\n", + "\n", + "79. 1. 5.670075829503\n", + "2. 2.83283471703334\n", + "3. 3.82588668814459\n", + "4. 6.23523176542675\n", + "5. 3.01235119102503\n", + "6. 2.71389611801841\n", + "7. 5.63129159545639\n", + "8. 1.01182792214386\n", + "9. 6.94173275308403\n", + "10. 4.09075296461105\n", + "11. 6.63839351558063\n", + "12. 3.38058971081809\n", + "13. 1.99727104931546\n", + "14. 3.48984745162379\n", + "15. 7.37280523407323\n", + "16. 5.12649379992312\n", + "17. 3.71119631988965\n", + "18. 5.20390263497382\n", + "19. 8.60121873859322\n", + "20. 6.69482887756547\n", + "21. 9.46447231376544\n", + "22. 8.35357329041376\n", + "23. 3.71887476406735\n", + "24. 1.56952322332059\n", + "25. 6.88273043949243\n", + "26. 2.15669210383131\n", + "27. 5.87551763752135\n", + "28. 7.9896769630435\n", + "29. 6.02748967545312\n", + "30. 6.35563705233973\n", + "31. 5.27698441548652\n", + "32. 5.96059506181358\n", + "33. 7.44149564132842\n", + "34. 5.1892765800384\n", + "35. 3.24466289095584\n", + "36. 6.10612187465166\n", + "37. 7.56761908986098\n", + "38. 3.27306792565792\n", + "39. 2.80783505353938\n", + "40. 5.65684651849157\n", + "41. 8.09738862879716\n", + "42. 5.05765408820903\n", + "43. 1.62672159481843\n", + "44. 7.46152404020844\n", + "45. 5.66958599364473\n", + "46. 3.3990108806991\n", + "47. 7.48037915910639\n", + "48. 5.24688054828804\n", + "49. 6.72504739807929\n", + "50. 4.80305321300062\n", + "51. 7.69625330317964\n", + "52. 4.77670989981543\n", + "53. 7.73735074090447\n", + "54. 5.97157219131794\n", + "55. 1.93462246214665\n", + "56. 5.23439783261478\n", + "57. 5.58485885379372\n", + "58. 4.90262863079431\n", + "59. 4.87025429854079\n", + "60. 3.26768497935155\n", + "61. 7.26873503586546\n", + "62. 4.27150814113172\n", + "63. 1.46354481738974\n", + "64. 6.55067210256707\n", + "65. 3.97267941054074\n", + "66. 5.80937112259241\n", + "67. 3.04414824206453\n", + "68. 4.34836493896151\n", + "69. 8.68655291512986\n", + "70. 6.29764464084891\n", + "71. 5.70635143404327\n", + "72. 6.70606030839251\n", + "73. 4.07939493407309\n", + "74. 6.92716938502681\n", + "75. 2.09215425653543\n", + "76. 2.58704383720953\n", + "77. 2.94080016584036\n", + "78. 7.07011240553269\n", + "79. 4.09151231206495\n", + "80. 1.12548559841066\n", + "81. 8.99875321457797\n", + "82. 1.8396817244748\n", + "83. 7.26868915335913\n", + "84. 2.82992570842068\n", + "85. 3.95206059764446\n", + "86. 2.78724491692186\n", + "87. 6.50889405999012\n", + "88. 7.11516285149955\n", + "89. 6.52139883878136\n", + "90. 1.55801932625221\n", + "91. 8.92930975468278\n", + "92. 4.97285322104651\n", + "93. 2.06801251214091\n", + "94. 2.20175048637788\n", + "95. 3.19196942267952\n", + "96. 3.38222798333761\n", + "97. 1.80815815024639\n", + "98. 5.20339153599447\n", + "99. 4.288881102736\n", + "100. 7.86174985876223\n", + "\n", + "\n", + "\n", + "80. 1. 6.18627653471332\n", + "2. 2.77471539222992\n", + "3. 2.14216496818335\n", + "4. 7.00219671767681\n", + "5. 2.29164830154022\n", + "6. 9.12119468815898\n", + "7. 4.70761561401045\n", + "8. 12.5585905498596\n", + "9. 9.65447149638366\n", + "10. 0.712849317455267\n", + "11. 4.19778366066739\n", + "12. 4.37435839493537\n", + "13. 6.5471598692882\n", + "14. 1.90680614837019\n", + "15. 6.38622272735256\n", + "16. 5.36843595006931\n", + "17. 4.24961450823098\n", + "18. 4.17208979494402\n", + "19. 3.48101332685894\n", + "20. 7.05336752750808\n", + "21. 0.70610360141636\n", + "22. 9.32893726818109\n", + "23. 1.94129928417846\n", + "24. 6.28392940825258\n", + "25. 6.11816831060149\n", + "26. 10.5165826124225\n", + "27. 3.98272680149499\n", + "28. 5.92295850020002\n", + "29. 2.10342164702109\n", + "30. 4.81056117042745\n", + "31. 9.62590243029946\n", + "32. 4.568529159479\n", + "33. 6.50608001638333\n", + "34. 3.6946094100094\n", + "35. 2.726224971926\n", + "36. 2.58404952039937\n", + "37. 3.17223677699966\n", + "38. 1.13999593671891\n", + "39. 10.5271511686535\n", + "40. 9.27722408169832\n", + "41. 5.43569852280803\n", + "42. 4.09551456155808\n", + "43. 7.85253196019551\n", + "44. 6.77649326054473\n", + "45. 5.8516809822479\n", + "46. 6.82792672199079\n", + "47. 3.87829659689037\n", + "48. 3.55130484722266\n", + "49. 4.7662303280562\n", + "50. 3.08034630550561\n", + "51. 2.27818976604771\n", + "52. 7.510031379032\n", + "53. 2.55585383373654\n", + "54. 7.58707044273439\n", + "55. 4.38052554934271\n", + "56. 2.26496412885705\n", + "57. 9.83579747642296\n", + "58. 5.50567440177683\n", + "59. 10.1001515434019\n", + "60. 4.97172557255876\n", + "61. 8.09990961974799\n", + "62. 8.4211537271002\n", + "63. 4.35926454913143\n", + "64. 4.79692724438948\n", + "65. 3.69297041145452\n", + "66. 6.65152816439299\n", + "67. 1.80121777221514\n", + "68. 5.75084062303555\n", + "69. 2.21658951798263\n", + "70. 4.90311796248456\n", + "71. 2.75542716006706\n", + "72. 3.09564236709618\n", + "73. 1.54293592878823\n", + "74. 3.10553617641933\n", + "75. 3.11731279523384\n", + "76. 6.12470154274617\n", + "77. 7.87338079661152\n", + "78. 6.06245915140254\n", + "79. 7.27362750825651\n", + "80. 3.99611922379248\n", + "81. 3.67907878029633\n", + "82. 1.3194437759369\n", + "83. 3.92219620406811\n", + "84. 5.31980714443375\n", + "85. 7.90663604758134\n", + "86. 0.813829458127272\n", + "87. 12.2027853871328\n", + "88. 3.91776458700796\n", + "89. 7.42089222150479\n", + "90. 8.99248181451689\n", + "91. 2.85253197557479\n", + "92. 3.44045502723745\n", + "93. 4.61933724402521\n", + "94. 6.85619190646366\n", + "95. 6.84130266121063\n", + "96. 5.34873113737856\n", + "97. 9.15880948709559\n", + "98. 3.80070602757025\n", + "99. 5.55689306221145\n", + "100. 4.70016652719083\n", + "\n", + "\n", + "\n", + "81. 1. 6.85716118620035\n", + "2. 4.33476289813562\n", + "3. 2.9303469639493\n", + "4. 8.61945629263965\n", + "5. 10.0476322351689\n", + "6. 4.04439836587967\n", + "7. 3.62512279847521\n", + "8. 2.89702107501205\n", + "9. 2.05367433263217\n", + "10. 6.09540077169141\n", + "11. 5.62049577673601\n", + "12. 4.13760183258035\n", + "13. 6.61640455809315\n", + "14. 4.44409439362647\n", + "15. 3.63945196497895\n", + "16. 6.00721474156934\n", + "17. 11.8067711636676\n", + "18. 4.18177057198594\n", + "19. 10.6177899581346\n", + "20. 5.91601347721845\n", + "21. 5.02170242439829\n", + "22. 10.6859700769639\n", + "23. 5.03730889699306\n", + "24. 7.73547871004061\n", + "25. 5.51465204828269\n", + "26. 3.12058930940183\n", + "27. 3.53002004922824\n", + "28. 4.66713339444773\n", + "29. 4.99721172383089\n", + "30. 4.94892570956926\n", + "31. 4.3166266218247\n", + "32. 6.89267758737395\n", + "33. 7.98110919835892\n", + "34. 9.98839289144062\n", + "35. 1.99541930994549\n", + "36. 6.62721697902442\n", + "37. 6.38747386358384\n", + "38. 7.58678964463432\n", + "39. 6.39537749451094\n", + "40. 4.87094265250655\n", + "41. 5.43953347970377\n", + "42. 3.54724297129401\n", + "43. 9.13853518075824\n", + "44. 3.12747635902366\n", + "45. 2.98142937195445\n", + "46. 5.46842789720699\n", + "47. 5.017008596656\n", + "48. 4.14134951702653\n", + "49. 3.8953344089858\n", + "50. 9.68874039459745\n", + "51. 2.61005516311549\n", + "52. 6.91688914494841\n", + "53. 10.8066033788839\n", + "54. 4.87489088539732\n", + "55. 2.05765980340101\n", + "56. 8.07213594822855\n", + "57. 7.21866119067712\n", + "58. 7.05529841336247\n", + "59. 1.09732887077087\n", + "60. 3.31868776023109\n", + "61. 5.84640961749626\n", + "62. 8.31283302611326\n", + "63. 5.78971539289913\n", + "64. 3.09134556806505\n", + "65. 10.946563174554\n", + "66. 7.13456701228822\n", + "67. 2.46674751317885\n", + "68. 5.98271130633222\n", + "69. 8.62528217236452\n", + "70. 8.30789220977079\n", + "71. 8.05705705462762\n", + "72. 9.49849402299909\n", + "73. 8.42747520163923\n", + "74. 6.57951152762481\n", + "75. 3.97951030322432\n", + "76. 7.081035513038\n", + "77. 2.3158490989784\n", + "78. 7.83998587357052\n", + "79. 8.0321516518357\n", + "80. 10.5406097478097\n", + "81. 9.01208149535999\n", + "82. 7.07624761638091\n", + "83. 8.41746133863034\n", + "84. 7.96519853475624\n", + "85. 4.40659101932747\n", + "86. 7.52415286050132\n", + "87. 1.97340375678779\n", + "88. 9.32020560225049\n", + "89. 7.58013825526648\n", + "90. 3.13932256081148\n", + "91. 3.47353780874563\n", + "92. 2.9148297353887\n", + "93. 1.95085856721905\n", + "94. 3.28985564109393\n", + "95. 6.50477383699518\n", + "96. 8.34785634987892\n", + "97. 8.905538742373\n", + "98. 6.62221303107569\n", + "99. 7.26705310523371\n", + "100. 7.38098219715234\n", + "\n", + "\n", + "\n", + "82. 1. 1.18816405073583\n", + "2. 6.92891354030185\n", + "3. 4.38935607652714\n", + "4. 2.74059682984592\n", + "5. 1.73367511591659\n", + "6. 0.977140057378457\n", + "7. 3.68945144416129\n", + "8. 2.52529174894614\n", + "9. 1.95660844171479\n", + "10. 4.04208646902749\n", + "11. 2.22592142470155\n", + "12. 4.30930327142857\n", + "13. 0.838423901084188\n", + "14. 3.7896080072411\n", + "15. 4.51350307678131\n", + "16. 4.52592321234736\n", + "17. 3.11986130054381\n", + "18. 1.39523870746235\n", + "19. 4.56171807121538\n", + "20. 4.77844943416912\n", + "21. 0.752537284905952\n", + "22. 4.84856143273487\n", + "23. 5.05737787779541\n", + "24. 2.18014774005647\n", + "25. 4.11958900102516\n", + "26. 1.3863709568789\n", + "27. 4.99542007353712\n", + "28. 3.32970705939544\n", + "29. 5.29808775469883\n", + "30. 4.43867876820384\n", + "31. 2.05249975202156\n", + "32. 1.0879289739601\n", + "33. 1.67377887590391\n", + "34. 1.94579483698077\n", + "35. 3.12798476741516\n", + "36. 0.858114557402738\n", + "37. 5.03311258448137\n", + "38. 1.4968381558205\n", + "39. 3.33306294438725\n", + "40. 4.42221643807297\n", + "41. 6.00003306641017\n", + "42. 5.74513690154821\n", + "43. 6.94433212794066\n", + "44. 1.87186246028887\n", + "45. 4.96606831256485\n", + "46. 4.41181198144329\n", + "47. 5.66937283216321\n", + "48. 0.628790915024789\n", + "49. 4.84585739676372\n", + "50. 7.51715681056691\n", + "51. 4.26920335348234\n", + "52. 4.19795033877328\n", + "53. 2.23488766538808\n", + "54. 3.91171858585572\n", + "55. 3.54001493099913\n", + "56. 5.23663355168341\n", + "57. 2.18423786253564\n", + "58. 2.40882720869886\n", + "59. 3.83024749745889\n", + "60. 2.64845655715672\n", + "61. 4.85669348678192\n", + "62. 4.63631665438222\n", + "63. 3.24380445355335\n", + "64. 2.22158920897404\n", + "65. 1.37310262979855\n", + "66. 6.85202028199266\n", + "67. 4.67399238603492\n", + "68. 6.68099345825001\n", + "69. 1.10773777233267\n", + "70. 3.2977728427085\n", + "71. 1.79120187764785\n", + "72. 7.8219193992541\n", + "73. 3.86792341286279\n", + "74. 1.34938653119199\n", + "75. 3.88780930375053\n", + "76. 5.21928537495982\n", + "77. 4.2514348343573\n", + "78. 4.71788864646932\n", + "79. 3.33497063257503\n", + "80. 4.18237746235639\n", + "81. 2.99842512292604\n", + "82. 5.67786268906119\n", + "83. 5.96161283762164\n", + "84. 2.27917096947868\n", + "85. 3.74691489969847\n", + "86. 1.17755881702714\n", + "87. 6.18697048998963\n", + "88. 1.37918621602028\n", + "89. 6.60469874550244\n", + "90. 4.38560650243954\n", + "91. 4.60821387089197\n", + "92. 1.9432463739057\n", + "93. 2.67742889743052\n", + "94. 1.32456969146525\n", + "95. 2.06602027606583\n", + "96. 1.97584421897862\n", + "97. 4.09495341759319\n", + "98. 4.51355491944123\n", + "99. 4.36981668541618\n", + "100. 1.59275795856999\n", + "\n", + "\n", + "\n", + "83. 1. 3.56352049371654\n", + "2. 5.01420852814152\n", + "3. 6.15356118706757\n", + "4. 5.91642566647699\n", + "5. 3.56259208144074\n", + "6. 7.00058292249713\n", + "7. 4.78424227094719\n", + "8. 6.54343198102273\n", + "9. 4.37404776698694\n", + "10. 6.31292089839487\n", + "11. 7.75561083849299\n", + "12. 4.25584371668022\n", + "13. 5.30278506224053\n", + "14. 4.86375901842743\n", + "15. 3.21934973909078\n", + "16. 4.64460372891989\n", + "17. 4.04657379906941\n", + "18. 3.56109637987961\n", + "19. 4.07209895143089\n", + "20. 5.23293740316628\n", + "21. 6.28955965069229\n", + "22. 5.05738301420736\n", + "23. 4.34663744558851\n", + "24. 2.27084364206978\n", + "25. 6.84678732434245\n", + "26. 8.4434361317011\n", + "27. 8.52239129089281\n", + "28. 4.11248860926177\n", + "29. 4.24553499942967\n", + "30. 5.36421108845819\n", + "31. 4.94113082645165\n", + "32. 4.70890166663261\n", + "33. 4.40710048481999\n", + "34. 1.38886774114718\n", + "35. 5.51246548494113\n", + "36. 9.74372775163978\n", + "37. 4.85717508670607\n", + "38. 6.40946717592346\n", + "39. 5.19033688228927\n", + "40. 3.73120073144803\n", + "41. 3.15847410168071\n", + "42. 4.74176550536695\n", + "43. 6.66341865276484\n", + "44. 4.17517650934842\n", + "45. 3.7128003542666\n", + "46. 7.76258405066391\n", + "47. 4.44600197777037\n", + "48. 5.54368936441174\n", + "49. 3.65183804873648\n", + "50. 4.93901276802119\n", + "51. 3.71410106361177\n", + "52. 4.13157239662119\n", + "53. 6.21576613509048\n", + "54. 5.7500809170628\n", + "55. 3.16496791177227\n", + "56. 6.90062771448655\n", + "57. 1.34792554730875\n", + "58. 7.89145520122477\n", + "59. 5.17661893370436\n", + "60. 3.4667137590063\n", + "61. 3.55155189390624\n", + "62. 6.73131856234278\n", + "63. 2.88132313524076\n", + "64. 4.69307794267927\n", + "65. 6.84310252654292\n", + "66. 1.68357194819021\n", + "67. 2.95138593874435\n", + "68. 5.59400719549832\n", + "69. 5.40020945605516\n", + "70. 3.56038522535857\n", + "71. 7.31959670567587\n", + "72. 3.80084749183552\n", + "73. 6.87652490354742\n", + "74. 1.48735382232052\n", + "75. 3.44139838200508\n", + "76. 4.78357496477307\n", + "77. 5.26064624008246\n", + "78. 8.11996091199334\n", + "79. 1.38240862460709\n", + "80. 5.05145077208697\n", + "81. 2.81321561070903\n", + "82. 6.17530769694886\n", + "83. 7.59728939292948\n", + "84. 6.89173233910328\n", + "85. 3.34173857254705\n", + "86. 5.87229149987556\n", + "87. 2.11626565743284\n", + "88. 2.3528028160633\n", + "89. 8.13060309672805\n", + "90. 3.34551355816918\n", + "91. 3.17840096486838\n", + "92. 4.3763014561993\n", + "93. 6.81466561855657\n", + "94. 4.89068733773789\n", + "95. 2.58216727067338\n", + "96. 6.33006849722493\n", + "97. 3.44660447934736\n", + "98. 3.44467444629869\n", + "99. 4.83287681526553\n", + "100. 3.76825633038138\n", + "\n", + "\n", + "\n", + "84. 1. 3.82077988794869\n", + "2. 3.79717603514834\n", + "3. 2.36379872965992\n", + "4. 3.72250469486413\n", + "5. 5.26498680945272\n", + "6. 2.17028397624122\n", + "7. 4.98082420279941\n", + "8. 7.55083109404196\n", + "9. 2.85672889029048\n", + "10. 3.3642223584306\n", + "11. 2.52038125665279\n", + "12. 1.36387236044727\n", + "13. 1.83849206561166\n", + "14. 4.58483593729436\n", + "15. 4.07030506103994\n", + "16. 5.11708539165446\n", + "17. 7.77036090768373\n", + "18. 5.89010521991195\n", + "19. 1.38571792855122\n", + "20. 4.56357652235887\n", + "21. 5.64875286451729\n", + "22. 4.29020209311374\n", + "23. 6.40230199248208\n", + "24. 2.25738631040405\n", + "25. 2.56099333970489\n", + "26. 4.73859756836147\n", + "27. 2.03001352699074\n", + "28. 3.03455435021104\n", + "29. 7.80474668142219\n", + "30. 2.21029248183318\n", + "31. 6.07038410691742\n", + "32. 3.26618314077925\n", + "33. 2.41043724487386\n", + "34. 3.92931313451211\n", + "35. 2.40650145280737\n", + "36. 4.56343768142923\n", + "37. 6.74389734732154\n", + "38. 4.46206177821634\n", + "39. 5.29258029524396\n", + "40. 4.75724852248881\n", + "41. 2.27232587866276\n", + "42. 4.45863813288013\n", + "43. 6.63854202981377\n", + "44. 2.74292353705951\n", + "45. 7.0465815159375\n", + "46. 4.80617610250237\n", + "47. 2.75073466736724\n", + "48. 2.6408338766994\n", + "49. 3.72558242884454\n", + "50. 1.39936761039392\n", + "51. 6.44831728027026\n", + "52. 7.24870498515472\n", + "53. 6.78038023905845\n", + "54. 2.71256013807511\n", + "55. 1.91062924427614\n", + "56. 1.55896753859005\n", + "57. 5.8146216527219\n", + "58. 10.2516882496358\n", + "59. 1.56108350000517\n", + "60. 2.30684963902346\n", + "61. 4.23520300711468\n", + "62. 1.80157887079116\n", + "63. 7.56565366656915\n", + "64. 4.83234533459104\n", + "65. 1.71839413744557\n", + "66. 6.04163507852297\n", + "67. 3.36637864490413\n", + "68. 2.20787112061464\n", + "69. 4.22043234315608\n", + "70. 6.55047059210101\n", + "71. 2.08734517876342\n", + "72. 4.24384753891024\n", + "73. 6.3510293686212\n", + "74. 5.14169605818021\n", + "75. 3.43717003714196\n", + "76. 2.33602851597797\n", + "77. 6.795360104417\n", + "78. 5.72501101020582\n", + "79. 7.88742076059168\n", + "80. 6.51531680388157\n", + "81. 2.35518765014476\n", + "82. 4.82694502146953\n", + "83. 5.04608032566442\n", + "84. 2.95599385692209\n", + "85. 2.72619897215525\n", + "86. 4.77678639595414\n", + "87. 4.05619957503114\n", + "88. 4.98221471523755\n", + "89. 4.63190459066223\n", + "90. 4.44748930043039\n", + "91. 2.81585635704757\n", + "92. 3.16180523853774\n", + "93. 2.35571608236655\n", + "94. 4.48770889026159\n", + "95. 5.90114300312406\n", + "96. 3.43004431950669\n", + "97. 2.29492659047976\n", + "98. 3.73693272847268\n", + "99. 3.4888779059975\n", + "100. 7.47765629682861\n", + "\n", + "\n", + "\n", + "85. 1. 5.74399486468361\n", + "2. 2.4214744553864\n", + "3. 2.44387918327587\n", + "4. 5.30023784935021\n", + "5. 3.15222409693343\n", + "6. 7.00590908183738\n", + "7. 4.66968533267899\n", + "8. 1.14115321979428\n", + "9. 2.30117086777648\n", + "10. 5.52068220944337\n", + "11. 8.6921016828129\n", + "12. 3.84900062434268\n", + "13. 4.50612577176803\n", + "14. 4.60541720825119\n", + "15. 10.5967693150509\n", + "16. 3.17844457151091\n", + "17. 3.62303554669987\n", + "18. 2.7477111346728\n", + "19. 4.24511423917796\n", + "20. 2.72121517742951\n", + "21. 7.90950520549836\n", + "22. 9.81154713033814\n", + "23. 6.52280192071408\n", + "24. 3.56887625640085\n", + "25. 5.923355234277\n", + "26. 4.15111293923028\n", + "27. 4.333127095953\n", + "28. 6.52694381328818\n", + "29. 8.16575627447289\n", + "30. 7.65116506101816\n", + "31. 5.51574101046629\n", + "32. 8.24532838698741\n", + "33. 4.29068013443117\n", + "34. 6.20922907476563\n", + "35. 3.77557373025822\n", + "36. 3.14083432792649\n", + "37. 7.13237902581833\n", + "38. 3.42978243790909\n", + "39. 2.49837010877644\n", + "40. 4.85291602856518\n", + "41. 3.18914311274878\n", + "42. 3.49597987128894\n", + "43. 6.59909598197426\n", + "44. 6.29579693187948\n", + "45. 7.32851334590674\n", + "46. 10.9847000510365\n", + "47. 5.43700057248395\n", + "48. 3.54188235045546\n", + "49. 5.93094527548738\n", + "50. 5.31827258903708\n", + "51. 2.26458616220341\n", + "52. 8.48243033658998\n", + "53. 4.49637122504657\n", + "54. 6.59030287656024\n", + "55. 3.91261589454751\n", + "56. 7.40950187525005\n", + "57. 5.13691637650994\n", + "58. 6.06257659553891\n", + "59. 4.90737779346671\n", + "60. 4.65379146567176\n", + "61. 3.49830307089377\n", + "62. 4.7903334849402\n", + "63. 7.01645824647748\n", + "64. 6.3457790136263\n", + "65. 4.28109855730326\n", + "66. 4.69088307911567\n", + "67. 5.44877100263324\n", + "68. 10.1989802357516\n", + "69. 4.57385499454177\n", + "70. 4.08732880316257\n", + "71. 3.74122895465342\n", + "72. 3.96236673766559\n", + "73. 5.38804372708111\n", + "74. 5.49214441920646\n", + "75. 4.76219722688223\n", + "76. 3.85544597887416\n", + "77. 4.96662522871409\n", + "78. 5.57765807953262\n", + "79. 4.70216187343427\n", + "80. 4.3988022249816\n", + "81. 3.96084454996634\n", + "82. 3.48228440947197\n", + "83. 5.99938890979105\n", + "84. 6.65572285190857\n", + "85. 1.74645968743681\n", + "86. 3.65183395295811\n", + "87. 7.72272429892429\n", + "88. 4.87768875582614\n", + "89. 5.61875702143299\n", + "90. 5.47004865279596\n", + "91. 2.88591140322229\n", + "92. 2.97323320719348\n", + "93. 3.53582392847235\n", + "94. 5.06097294688846\n", + "95. 7.00650841653761\n", + "96. 2.78901482077921\n", + "97. 5.31538277815083\n", + "98. 4.97693392274303\n", + "99. 9.2572395799612\n", + "100. 3.5926893293938\n", + "\n", + "\n", + "\n", + "86. 1. 1.26921905012953\n", + "2. 6.35498818077064\n", + "3. 2.41875214350978\n", + "4. 2.8902361439081\n", + "5. 5.7116361071244\n", + "6. 4.20846175430532\n", + "7. 4.80082350345676\n", + "8. 5.74958967197802\n", + "9. 1.40476911422129\n", + "10. 3.9428041772601\n", + "11. 4.43795723906576\n", + "12. 2.69219700151025\n", + "13. 1.98863226037731\n", + "14. 1.02251510989239\n", + "15. 7.17522738319963\n", + "16. 2.95760656920788\n", + "17. 3.06432128435309\n", + "18. 5.17052935218951\n", + "19. 0.968974916750111\n", + "20. 3.80760809655777\n", + "21. 3.5286720858682\n", + "22. 2.11050572963175\n", + "23. 2.56761217557984\n", + "24. 5.46597149910132\n", + "25. 4.23892543591007\n", + "26. 6.27582447689931\n", + "27. 3.12344913133912\n", + "28. 3.90748536333592\n", + "29. 1.09571730901654\n", + "30. 4.20384865461738\n", + "31. 3.25982903988473\n", + "32. 3.54467215906282\n", + "33. 3.57974331352487\n", + "34. 1.4025559647054\n", + "35. 3.69065266687307\n", + "36. 3.23985221253712\n", + "37. 1.79751185725301\n", + "38. 3.95064002803996\n", + "39. 2.98200243059847\n", + "40. 3.53735297936015\n", + "41. 5.49256255078585\n", + "42. 3.74403414239268\n", + "43. 5.27674869900327\n", + "44. 4.38696420689303\n", + "45. 3.48657279659652\n", + "46. 4.46244348824125\n", + "47. 1.70425625005361\n", + "48. 3.69010755015279\n", + "49. 5.50713494592016\n", + "50. 1.21241813437216\n", + "51. 4.65701872860096\n", + "52. 5.97233087121596\n", + "53. 3.47516426311332\n", + "54. 6.3336060371004\n", + "55. 3.54643817065444\n", + "56. 4.45573144386964\n", + "57. 3.12142952788235\n", + "58. 4.83824635730097\n", + "59. 0.520673163565227\n", + "60. 1.41428226250304\n", + "61. 2.55958021918919\n", + "62. 0.8247964979429\n", + "63. 3.72509671727256\n", + "64. 4.16435778778602\n", + "65. 2.68871874861388\n", + "66. 3.94682082795276\n", + "67. 3.24573958117632\n", + "68. 1.79335156861505\n", + "69. 5.13685693803946\n", + "70. 1.70079957894107\n", + "71. 3.82666332085329\n", + "72. 3.16223649788185\n", + "73. 3.20111997613732\n", + "74. 2.54788495720292\n", + "75. 2.54516788630061\n", + "76. 3.03533906867591\n", + "77. 3.35608826357903\n", + "78. 2.54931151239398\n", + "79. 4.32036861637035\n", + "80. 4.01783808487999\n", + "81. 1.84815664355362\n", + "82. 1.66704127973616\n", + "83. 4.63902083696723\n", + "84. 6.02764083790021\n", + "85. 2.84269860867037\n", + "86. 1.51954098289614\n", + "87. 2.3439144266112\n", + "88. 1.18804451253275\n", + "89. 3.46004050207003\n", + "90. 3.68515541316523\n", + "91. 3.82482898274839\n", + "92. 4.76308032120612\n", + "93. 5.16916880325356\n", + "94. 2.51814147705156\n", + "95. 4.42760900997152\n", + "96. 1.94660954636153\n", + "97. 1.36769713172428\n", + "98. 3.03061924419229\n", + "99. 2.73989946580478\n", + "100. 1.47543418169146\n", + "\n", + "\n", + "\n", + "87. 1. 5.04421997921599\n", + "2. 5.29189458085584\n", + "3. 2.93288836488653\n", + "4. 6.76466284722236\n", + "5. 9.81808515732301\n", + "6. 8.56050604364312\n", + "7. 2.92472043723742\n", + "8. 8.35760660264766\n", + "9. 7.24059604782714\n", + "10. 3.98784077766828\n", + "11. 1.84659922190417\n", + "12. 2.43915366120621\n", + "13. 1.52950032338624\n", + "14. 2.15164183771711\n", + "15. 3.67216082471018\n", + "16. 3.48910396026375\n", + "17. 1.5230799096537\n", + "18. 1.10788553142396\n", + "19. 5.90873539299844\n", + "20. 4.15893467365233\n", + "21. 6.30876538069827\n", + "22. 3.03860476026583\n", + "23. 1.24182207862302\n", + "24. 1.43662867633525\n", + "25. 6.16176312205512\n", + "26. 7.90576016389025\n", + "27. 3.29868421681654\n", + "28. 0.875827066431838\n", + "29. 2.63387477856328\n", + "30. 5.81656980213865\n", + "31. 7.75960704578503\n", + "32. 2.32371093121562\n", + "33. 1.57901045382003\n", + "34. 3.8215890405487\n", + "35. 1.35978416651135\n", + "36. 2.92409949432087\n", + "37. 2.74345330728981\n", + "38. 3.30804938709265\n", + "39. 9.27356045683188\n", + "40. 3.11269778551817\n", + "41. 3.68813935994577\n", + "42. 4.60658049378969\n", + "43. 0.504539769791595\n", + "44. 3.87299090469369\n", + "45. 2.30274423579591\n", + "46. 6.52511280374938\n", + "47. 3.82490276658621\n", + "48. 1.91523007952978\n", + "49. 7.69601583770952\n", + "50. 1.96138082764489\n", + "51. 4.61870048669441\n", + "52. 2.8043984607883\n", + "53. 4.0774464459687\n", + "54. 2.25363405387781\n", + "55. 1.6207893342913\n", + "56. 1.62176973603205\n", + "57. 3.58849460715901\n", + "58. 5.64915020506704\n", + "59. 2.01730477389497\n", + "60. 1.17491735220535\n", + "61. 1.73676995026747\n", + "62. 3.6913690664399\n", + "63. 3.75291009187143\n", + "64. 5.64722469462501\n", + "65. 5.92194953126746\n", + "66. 2.15180639921969\n", + "67. 5.48525731492007\n", + "68. 4.36486286223048\n", + "69. 1.79132258909783\n", + "70. 4.85409973027706\n", + "71. 0.824764765673787\n", + "72. 5.95402437663399\n", + "73. 4.17564716010448\n", + "74. 4.40238049775801\n", + "75. 4.23740470604864\n", + "76. 4.69027013640305\n", + "77. 2.72046083664982\n", + "78. 4.1235423234443\n", + "79. 1.82690993641274\n", + "80. 2.05368325552266\n", + "81. 8.01538500527673\n", + "82. 5.44575062405271\n", + "83. 6.38895404804212\n", + "84. 3.94361236026706\n", + "85. 1.68277108126302\n", + "86. 4.88388581977313\n", + "87. 3.04299445224585\n", + "88. 2.73806902550388\n", + "89. 2.1088209098901\n", + "90. 3.72933070534084\n", + "91. 3.61342758878474\n", + "92. 6.29124524920204\n", + "93. 2.19753141188115\n", + "94. 4.8582762974648\n", + "95. 4.57038832591837\n", + "96. 3.23213707147939\n", + "97. 3.65576919794591\n", + "98. 1.40493115149717\n", + "99. 1.94980619409731\n", + "100. 2.61034003734057\n", + "\n", + "\n", + "\n", + "88. 1. 6.63230984748897\n", + "2. 5.26072217554651\n", + "3. 4.810518429468\n", + "4. 7.23544019298844\n", + "5. 4.96839406602467\n", + "6. 5.29893623201841\n", + "7. 2.00997464002221\n", + "8. 2.71012498865374\n", + "9. 8.69996300593477\n", + "10. 9.83783045844772\n", + "11. 1.97606872055358\n", + "12. 9.32196057080721\n", + "13. 6.3265968586948\n", + "14. 1.98683974612207\n", + "15. 3.32578404145917\n", + "16. 3.41995388322591\n", + "17. 5.93313698374783\n", + "18. 5.70649847221157\n", + "19. 7.67806560605734\n", + "20. 7.21110933079406\n", + "21. 4.39491075573862\n", + "22. 6.8342632946911\n", + "23. 1.84009215230047\n", + "24. 5.35996105027438\n", + "25. 2.99036976410872\n", + "26. 2.4586993370415\n", + "27. 5.10347898869832\n", + "28. 4.11865572358619\n", + "29. 2.68993330879005\n", + "30. 7.20660200713846\n", + "31. 4.34536399468592\n", + "32. 1.93642786550879\n", + "33. 2.59010740167868\n", + "34. 8.26426239289166\n", + "35. 0.570349857185048\n", + "36. 5.91125521665609\n", + "37. 3.74995238067249\n", + "38. 3.38425594850275\n", + "39. 2.62859356777476\n", + "40. 2.85125256598398\n", + "41. 2.57913609365731\n", + "42. 3.65572239969353\n", + "43. 2.27338554459469\n", + "44. 1.72952943621431\n", + "45. 4.36508173342994\n", + "46. 8.37020987404674\n", + "47. 6.39400479281854\n", + "48. 6.41640950161296\n", + "49. 1.87253412682987\n", + "50. 2.66054740334426\n", + "51. 7.19026782837117\n", + "52. 1.59153089923097\n", + "53. 7.97408732878405\n", + "54. 7.83563731621162\n", + "55. 8.28330049045749\n", + "56. 5.81425758634839\n", + "57. 7.62701206808644\n", + "58. 3.90861820844716\n", + "59. 5.14876339890699\n", + "60. 4.76378689539875\n", + "61. 1.07025184950465\n", + "62. 1.74677338585331\n", + "63. 4.64192343421141\n", + "64. 7.61138554857042\n", + "65. 3.67599820512317\n", + "66. 4.71101701521411\n", + "67. 6.41642814168379\n", + "68. 5.23596805189337\n", + "69. 7.94815440456093\n", + "70. 7.1885624869361\n", + "71. 8.56010370765713\n", + "72. 3.56658869683881\n", + "73. 2.64013690240947\n", + "74. 7.07180060314973\n", + "75. 1.77204514699949\n", + "76. 3.29069346479847\n", + "77. 4.91243220995042\n", + "78. 7.76796428705342\n", + "79. 4.81576411664785\n", + "80. 2.90749735425997\n", + "81. 5.17258906323655\n", + "82. 4.26512811457534\n", + "83. 1.1846071509824\n", + "84. 2.79829108734577\n", + "85. 10.02599502339\n", + "86. 5.20465359206108\n", + "87. 7.34033162909432\n", + "88. 1.95251778163086\n", + "89. 2.76671360355148\n", + "90. 2.03694804684659\n", + "91. 4.27031610601287\n", + "92. 5.5822746528654\n", + "93. 4.88550580170726\n", + "94. 9.2319258794254\n", + "95. 7.15347523955586\n", + "96. 4.7744213431734\n", + "97. 1.8620731558444\n", + "98. 3.73576886452007\n", + "99. 2.76365102811183\n", + "100. 6.33180325233912\n", + "\n", + "\n", + "\n", + "89. 1. 1.92371925547467\n", + "2. 5.73693793679294\n", + "3. 0.881365867415753\n", + "4. 2.02137224625992\n", + "5. 2.35410429908435\n", + "6. 1.60725248995433\n", + "7. 2.44735906504623\n", + "8. 1.34321906631109\n", + "9. 1.17527889374302\n", + "10. 4.14148334195412\n", + "11. 3.1341350545329\n", + "12. 1.08028882736801\n", + "13. 1.08988384241811\n", + "14. 0.808185290536935\n", + "15. 1.07106088098244\n", + "16. 1.51745790020405\n", + "17. 1.58259069602161\n", + "18. 7.28125182100751\n", + "19. 1.44184576226286\n", + "20. 2.15994777824661\n", + "21. 1.66339921676124\n", + "22. 0.736308725304815\n", + "23. 5.55359180459404\n", + "24. 2.46763517801706\n", + "25. 7.77936632660003\n", + "26. 3.8574837487039\n", + "27. 8.82042252813617\n", + "28. 1.38609259854024\n", + "29. 1.47815318966766\n", + "30. 5.08255270922328\n", + "31. 1.79364889178681\n", + "32. 1.93259449030803\n", + "33. 1.89966000330877\n", + "34. 0.921249881272305\n", + "35. 1.37530282719168\n", + "36. 6.06924104766458\n", + "37. 1.7274981754721\n", + "38. 1.73514821197172\n", + "39. 1.71772730149797\n", + "40. 1.61413880550813\n", + "41. 0.488001266338043\n", + "42. 2.18860363483049\n", + "43. 1.59080045735612\n", + "44. 0.787001586233752\n", + "45. 4.10850326773204\n", + "46. 0.987478423721698\n", + "47. 1.31019187120871\n", + "48. 1.68322412887806\n", + "49. 5.42582858550332\n", + "50. 5.00299825974442\n", + "51. 0.896535533148403\n", + "52. 0.993410168469013\n", + "53. 1.20043306238323\n", + "54. 5.48371460574522\n", + "55. 2.86818475357399\n", + "56. 2.01638631647673\n", + "57. 3.86068482350933\n", + "58. 5.53878031598682\n", + "59. 0.649540906647096\n", + "60. 3.29928483041944\n", + "61. 5.18509224336502\n", + "62. 1.5942503505619\n", + "63. 4.75578976281941\n", + "64. 2.44523080321154\n", + "65. 1.31288585026207\n", + "66. 2.48380737228824\n", + "67. 1.34432338913489\n", + "68. 2.18864762809884\n", + "69. 8.74883552360359\n", + "70. 3.23641583703689\n", + "71. 1.16848301330342\n", + "72. 1.35539992280354\n", + "73. 2.15770361425392\n", + "74. 5.74676092708988\n", + "75. 2.40106744606519\n", + "76. 3.30259461100428\n", + "77. 2.58286099022324\n", + "78. 3.52954657852844\n", + "79. 2.06039983849139\n", + "80. 3.0613576204891\n", + "81. 5.96075933039129\n", + "82. 0.668840964892177\n", + "83. 2.52771185512237\n", + "84. 2.24331011054225\n", + "85. 1.47837223765759\n", + "86. 1.85382607025399\n", + "87. 2.68279021326565\n", + "88. 1.35565260891461\n", + "89. 2.09039811433579\n", + "90. 0.74389902493042\n", + "91. 1.10275629960356\n", + "92. 1.70845364966051\n", + "93. 0.723403434784564\n", + "94. 0.80678041660758\n", + "95. 1.20746414273029\n", + "96. 1.04366573158091\n", + "97. 1.20109300599859\n", + "98. 2.51452312260285\n", + "99. 2.22409742189198\n", + "100. 3.04568451078947\n", + "\n", + "\n", + "\n", + "90. 1. 4.89665758548685\n", + "2. 5.31053833228538\n", + "3. 6.6798670783507\n", + "4. 7.25937455287055\n", + "5. 4.93961704089324\n", + "6. 10.0132735140848\n", + "7. 2.44713393628319\n", + "8. 9.04913064517371\n", + "9. 2.89778086843908\n", + "10. 5.89349746279059\n", + "11. 3.73840259430589\n", + "12. 4.29942118236368\n", + "13. 3.31448421088787\n", + "14. 2.90739264463718\n", + "15. 1.78286883698462\n", + "16. 9.04935824293585\n", + "17. 8.61198052211944\n", + "18. 4.3650023723189\n", + "19. 9.41608964168772\n", + "20. 6.02020278341968\n", + "21. 2.22467745776181\n", + "22. 5.44742004689486\n", + "23. 6.27818831421336\n", + "24. 3.17490197599074\n", + "25. 2.4157784036191\n", + "26. 4.21182777075305\n", + "27. 4.6750649208962\n", + "28. 0.681078908290355\n", + "29. 1.54163612100311\n", + "30. 2.95899190174604\n", + "31. 4.1034296845137\n", + "32. 5.44936295476244\n", + "33. 9.09791026806257\n", + "34. 2.5048980112154\n", + "35. 3.68089759070943\n", + "36. 11.7446772345097\n", + "37. 2.29594206614887\n", + "38. 0.910435169499309\n", + "39. 8.25492001271353\n", + "40. 5.8145235654803\n", + "41. 4.0986175547654\n", + "42. 5.07244846427559\n", + "43. 2.37098954595067\n", + "44. 7.18913479882271\n", + "45. 6.17405957431189\n", + "46. 1.2322279053243\n", + "47. 2.49345004305844\n", + "48. 3.96729954590647\n", + "49. 4.51085318674175\n", + "50. 2.73828057986955\n", + "51. 9.29801348414769\n", + "52. 7.85379502546332\n", + "53. 4.17908460352599\n", + "54. 5.42671392682835\n", + "55. 6.63627112349276\n", + "56. 1.83301873205413\n", + "57. 9.31772133820201\n", + "58. 3.17372802517761\n", + "59. 3.3370231687265\n", + "60. 4.67864557321758\n", + "61. 7.1476473582793\n", + "62. 5.60674491689627\n", + "63. 1.35109873813462\n", + "64. 1.4876920937011\n", + "65. 7.31966389844264\n", + "66. 3.99337856425615\n", + "67. 5.70715709655126\n", + "68. 4.90883468335859\n", + "69. 2.06065639551406\n", + "70. 2.48660978694962\n", + "71. 7.440061542125\n", + "72. 7.95377437036206\n", + "73. 2.01707476049492\n", + "74. 9.25948215691271\n", + "75. 6.44048742757363\n", + "76. 9.00267428112988\n", + "77. 4.46582259848971\n", + "78. 8.96571134677075\n", + "79. 6.49361426669024\n", + "80. 3.04383248198259\n", + "81. 10.4268105831492\n", + "82. 4.47756627494752\n", + "83. 8.83698439214872\n", + "84. 9.89922766963482\n", + "85. 2.28508671194319\n", + "86. 3.4200364173455\n", + "87. 8.18661265083197\n", + "88. 3.12885633535545\n", + "89. 1.23993210522065\n", + "90. 4.47671272584358\n", + "91. 3.35639987063244\n", + "92. 4.82027698167488\n", + "93. 8.41528825552047\n", + "94. 2.0396652037467\n", + "95. 4.22930456596531\n", + "96. 9.13949660253398\n", + "97. 4.87636696147796\n", + "98. 3.83835134067949\n", + "99. 5.36005647307143\n", + "100. 1.5060898687528\n", + "\n", + "\n", + "\n", + "91. 1. 5.85677702823855\n", + "2. 4.12882988277937\n", + "3. 3.24045465886173\n", + "4. 5.26277719860978\n", + "5. 6.76436094740645\n", + "6. 5.61274485232009\n", + "7. 1.75386743812668\n", + "8. 5.22701219334682\n", + "9. 4.80328958391888\n", + "10. 2.80188464182711\n", + "11. 5.98398022400623\n", + "12. 4.4629885628276\n", + "13. 5.71171447595764\n", + "14. 4.90770448912476\n", + "15. 5.81443381329226\n", + "16. 2.93122756614533\n", + "17. 2.51798921078279\n", + "18. 1.10937531012304\n", + "19. 1.20435807814422\n", + "20. 0.891277381436535\n", + "21. 2.11113046463001\n", + "22. 4.67042418053942\n", + "23. 4.54574061778008\n", + "24. 3.77580219517658\n", + "25. 4.60639240610079\n", + "26. 2.33109363961709\n", + "27. 2.63718790957631\n", + "28. 1.30009428408923\n", + "29. 4.09088578018864\n", + "30. 8.24194815188949\n", + "31. 4.97418042935953\n", + "32. 5.84072626705304\n", + "33. 5.42478683569898\n", + "34. 2.15183587257417\n", + "35. 3.02221413091953\n", + "36. 2.98384863580795\n", + "37. 5.79212006888386\n", + "38. 10.3946801803407\n", + "39. 6.71250060313818\n", + "40. 1.21673288937884\n", + "41. 4.60702669942087\n", + "42. 3.17534198724473\n", + "43. 3.38770531453622\n", + "44. 0.941343855760696\n", + "45. 3.60738437797701\n", + "46. 3.94222915313361\n", + "47. 3.9178629105431\n", + "48. 6.47822109042175\n", + "49. 3.89186467497063\n", + "50. 3.29372217625198\n", + "51. 6.2397936045297\n", + "52. 3.98738118497759\n", + "53. 9.55046773023114\n", + "54. 5.14602590124637\n", + "55. 4.29662288496755\n", + "56. 5.41264971794683\n", + "57. 4.34965590100022\n", + "58. 3.62737231209197\n", + "59. 1.91902601977452\n", + "60. 1.05724843706374\n", + "61. 3.8111024306151\n", + "62. 3.25355227574996\n", + "63. 5.25242597876265\n", + "64. 4.45364509959382\n", + "65. 4.42617151869501\n", + "66. 3.26881493195503\n", + "67. 3.31825892819495\n", + "68. 3.3219240820814\n", + "69. 3.56574798251067\n", + "70. 4.86814632278622\n", + "71. 4.27683796289975\n", + "72. 4.97211586319933\n", + "73. 4.18591383477998\n", + "74. 1.47457610880964\n", + "75. 2.53966203692898\n", + "76. 1.55073177066158\n", + "77. 3.40519980429444\n", + "78. 4.74728855370968\n", + "79. 4.37347435455523\n", + "80. 3.44083991874521\n", + "81. 3.97294337927082\n", + "82. 1.11134367988241\n", + "83. 4.75466399049343\n", + "84. 1.03874259646598\n", + "85. 5.71946582142335\n", + "86. 2.81426943526272\n", + "87. 4.28657091730482\n", + "88. 4.63538120456388\n", + "89. 2.99011363476387\n", + "90. 6.60693337929454\n", + "91. 6.17206958198491\n", + "92. 4.50799196834931\n", + "93. 3.88448492894313\n", + "94. 4.12549526273666\n", + "95. 2.50865514818591\n", + "96. 2.91629697528928\n", + "97. 1.42085731776504\n", + "98. 0.990366032424225\n", + "99. 4.50860832639442\n", + "100. 2.50100541035331\n", + "\n", + "\n", + "\n", + "92. 1. 5.27960383806294\n", + "2. 4.86394151510451\n", + "3. 1.34460631222613\n", + "4. 9.24262738135583\n", + "5. 1.3987003569924\n", + "6. 9.43414843949606\n", + "7. 3.57653825648737\n", + "8. 5.44092824091048\n", + "9. 8.026523535601\n", + "10. 3.86200665770758\n", + "11. 1.08101109368218\n", + "12. 4.28550337198259\n", + "13. 4.45799723329004\n", + "14. 6.26461711206576\n", + "15. 4.41027699554454\n", + "16. 3.04967520803942\n", + "17. 4.94751811376209\n", + "18. 3.79895439278122\n", + "19. 7.84004446335293\n", + "20. 3.53559983873756\n", + "21. 9.46378397453853\n", + "22. 11.9901652488451\n", + "23. 7.97660820808975\n", + "24. 1.47668055385936\n", + "25. 4.95771909678097\n", + "26. 8.48109008170766\n", + "27. 4.30518296374426\n", + "28. 5.11645726080357\n", + "29. 3.18104162644939\n", + "30. 2.35197432780952\n", + "31. 8.09529235837635\n", + "32. 1.52345645892464\n", + "33. 6.59740103485564\n", + "34. 9.44253290497956\n", + "35. 5.29472344518498\n", + "36. 4.50049467480746\n", + "37. 3.61550616968039\n", + "38. 4.07456027181096\n", + "39. 3.36496695810063\n", + "40. 1.5176456069741\n", + "41. 1.89526101983698\n", + "42. 3.25862214792726\n", + "43. 6.96620049974847\n", + "44. 6.27253467325393\n", + "45. 5.16587969490936\n", + "46. 3.75319967212088\n", + "47. 6.21906277826223\n", + "48. 3.69692479234187\n", + "49. 5.57340458660751\n", + "50. 3.31941909053385\n", + "51. 3.63248360439662\n", + "52. 2.48759713817095\n", + "53. 6.17364158421106\n", + "54. 4.29791720448282\n", + "55. 8.23131066627404\n", + "56. 3.35194544483679\n", + "57. 2.33577676145788\n", + "58. 2.07548954378088\n", + "59. 3.50948812028714\n", + "60. 4.24121491147421\n", + "61. 2.26650563389451\n", + "62. 4.14609603369787\n", + "63. 4.89646814927519\n", + "64. 5.02091843312416\n", + "65. 1.88767914104974\n", + "66. 2.89625446285489\n", + "67. 10.8117824636617\n", + "68. 4.6497042061831\n", + "69. 5.14924614190206\n", + "70. 4.73633238874691\n", + "71. 4.62993340122781\n", + "72. 2.46930254401806\n", + "73. 3.41215908610576\n", + "74. 5.18030634491282\n", + "75. 4.62545814034862\n", + "76. 5.23523854871668\n", + "77. 5.61329629865868\n", + "78. 3.61815029215322\n", + "79. 11.2927464151521\n", + "80. 1.57294136688618\n", + "81. 2.74652197396164\n", + "82. 4.63977359814922\n", + "83. 4.37010991978673\n", + "84. 2.98754136365754\n", + "85. 1.92763304885158\n", + "86. 2.20987404613831\n", + "87. 7.48281090643095\n", + "88. 8.81376644889794\n", + "89. 8.72376357537856\n", + "90. 4.36891123242678\n", + "91. 9.557429042931\n", + "92. 1.29628777919912\n", + "93. 6.85424952300887\n", + "94. 2.48928305101826\n", + "95. 2.4320584119959\n", + "96. 1.51232983070678\n", + "97. 4.37294385768726\n", + "98. 6.86728565627638\n", + "99. 7.57080914875038\n", + "100. 5.83193805452212\n", + "\n", + "\n", + "\n", + "93. 1. 7.05445831428572\n", + "2. 2.11440681035259\n", + "3. 4.33311827880144\n", + "4. 10.6003157761093\n", + "5. 6.19785685827575\n", + "6. 1.31729459302533\n", + "7. 0.475120792513975\n", + "8. 6.40246999543335\n", + "9. 2.18655365694908\n", + "10. 3.48915298675693\n", + "11. 1.25517031196061\n", + "12. 2.48872261775926\n", + "13. 2.46606656292188\n", + "14. 2.02121932224158\n", + "15. 2.32481415702523\n", + "16. 1.83559166357582\n", + "17. 5.33242790822904\n", + "18. 6.02456216457427\n", + "19. 3.78149204524225\n", + "20. 5.09097738625914\n", + "21. 3.53376122841889\n", + "22. 6.25028302716601\n", + "23. 2.38926534370005\n", + "24. 3.12595047275903\n", + "25. 2.36138643407906\n", + "26. 2.14780755048376\n", + "27. 1.59647191244695\n", + "28. 1.23654695414209\n", + "29. 3.15197372800689\n", + "30. 9.4224766522352\n", + "31. 1.18562913938342\n", + "32. 7.00228458418043\n", + "33. 0.741608987230027\n", + "34. 4.03004219393751\n", + "35. 5.6393524541768\n", + "36. 3.83728663560348\n", + "37. 5.48917049392053\n", + "38. 1.28259109907999\n", + "39. 2.85169075419712\n", + "40. 7.60251314115149\n", + "41. 3.88009479874367\n", + "42. 11.3667246989281\n", + "43. 10.703837367977\n", + "44. 6.30102631945685\n", + "45. 5.8568359428411\n", + "46. 5.61393250741339\n", + "47. 5.51401855292637\n", + "48. 6.04430284603014\n", + "49. 4.0649322580817\n", + "50. 6.81942821086561\n", + "51. 4.68480502380391\n", + "52. 5.00775418623929\n", + "53. 2.22339309721244\n", + "54. 6.24230545803128\n", + "55. 7.64732579220198\n", + "56. 5.99567765796938\n", + "57. 2.53096767289553\n", + "58. 5.33814111828077\n", + "59. 6.55338936261463\n", + "60. 1.85171937582798\n", + "61. 2.59594402389771\n", + "62. 1.42040605638636\n", + "63. 4.64666197654773\n", + "64. 8.35438618624709\n", + "65. 8.30249886979447\n", + "66. 4.19711150289752\n", + "67. 6.90399879603009\n", + "68. 1.83425703922653\n", + "69. 4.39813266829045\n", + "70. 4.37071846978961\n", + "71. 9.85833786172563\n", + "72. 7.32245762415834\n", + "73. 1.99276756194578\n", + "74. 5.24976848260259\n", + "75. 3.46183514184836\n", + "76. 1.74264974423752\n", + "77. 2.85737138913844\n", + "78. 2.42030122430679\n", + "79. 2.17948412343901\n", + "80. 2.98914989849999\n", + "81. 2.64212817546864\n", + "82. 5.43810266870127\n", + "83. 1.87034375077872\n", + "84. 3.05411544963774\n", + "85. 6.12345727253206\n", + "86. 1.52577124791104\n", + "87. 5.01108696066213\n", + "88. 4.96083725167485\n", + "89. 3.76005600373033\n", + "90. 1.4106651141103\n", + "91. 5.67168825382976\n", + "92. 1.26376737263991\n", + "93. 2.31593541507051\n", + "94. 7.02886451247981\n", + "95. 2.49369396251128\n", + "96. 2.02039158318238\n", + "97. 1.68324606382279\n", + "98. 4.44451223805863\n", + "99. 2.2623627264454\n", + "100. 5.71591529717129\n", + "\n", + "\n", + "\n", + "94. 1. 0.998339194727523\n", + "2. 3.59504586869822\n", + "3. 5.18230805800527\n", + "4. 0.727767392802706\n", + "5. 1.78338162453536\n", + "6. 3.29622646842443\n", + "7. 2.31023111156195\n", + "8. 1.2945642447614\n", + "9. 1.6186548823707\n", + "10. 4.13471168649842\n", + "11. 2.11926018797601\n", + "12. 1.10037634067274\n", + "13. 2.7806030621963\n", + "14. 4.55587085349963\n", + "15. 5.78558379076917\n", + "16. 1.13458342459997\n", + "17. 1.75996902593764\n", + "18. 5.3664501904291\n", + "19. 0.99817500456347\n", + "20. 2.29347590991945\n", + "21. 2.60264438147802\n", + "22. 2.63971394853579\n", + "23. 2.4245470223955\n", + "24. 5.15045637229067\n", + "25. 1.51113702264557\n", + "26. 1.26730696056086\n", + "27. 3.28543616685139\n", + "28. 1.62224432619839\n", + "29. 2.09116734836235\n", + "30. 2.12202006115633\n", + "31. 1.02858172633308\n", + "32. 1.81574734830264\n", + "33. 1.15909446420819\n", + "34. 4.16215915601995\n", + "35. 1.09714314864593\n", + "36. 5.72419169951065\n", + "37. 5.90459642124316\n", + "38. 1.1226157812321\n", + "39. 2.97664817763322\n", + "40. 2.20416122278642\n", + "41. 3.88276852499565\n", + "42. 2.19817921903299\n", + "43. 1.06637837718227\n", + "44. 2.1259430715922\n", + "45. 1.84323662653164\n", + "46. 4.29716665821892\n", + "47. 1.676880704483\n", + "48. 7.06944404028829\n", + "49. 2.67016645911746\n", + "50. 1.72701922708146\n", + "51. 2.02707436829334\n", + "52. 0.718199102620869\n", + "53. 3.43339619899521\n", + "54. 1.64837926646679\n", + "55. 3.10806351470528\n", + "56. 1.12992372064949\n", + "57. 1.9790526617254\n", + "58. 5.78902226267249\n", + "59. 2.98529185683048\n", + "60. 1.23777455518941\n", + "61. 6.05554067065117\n", + "62. 2.51889233258511\n", + "63. 1.85172414818084\n", + "64. 1.65932143002637\n", + "65. 1.30375565301706\n", + "66. 0.956987644812743\n", + "67. 3.8468511826125\n", + "68. 0.965748853116979\n", + "69. 9.06756255792629\n", + "70. 7.08495610131407\n", + "71. 2.39887438890253\n", + "72. 1.68274790519322\n", + "73. 4.27779722755304\n", + "74. 5.38295596572039\n", + "75. 3.12824272334004\n", + "76. 6.57347497869333\n", + "77. 0.897501730638929\n", + "78. 5.23200723699762\n", + "79. 1.66997509293778\n", + "80. 3.14043444524247\n", + "81. 2.01260395925615\n", + "82. 2.38688243146514\n", + "83. 2.9556089843633\n", + "84. 1.57909330765992\n", + "85. 1.25068845004113\n", + "86. 2.54888864144351\n", + "87. 1.3719582847074\n", + "88. 1.21127107453278\n", + "89. 1.66968266254263\n", + "90. 1.11518958615763\n", + "91. 3.2322066417936\n", + "92. 1.06133587887855\n", + "93. 1.25211264470525\n", + "94. 1.83475479061237\n", + "95. 1.12137650913379\n", + "96. 2.92690239182026\n", + "97. 2.861233167657\n", + "98. 1.24196123137063\n", + "99. 1.54064298134361\n", + "100. 0.762268179227133\n", + "\n", + "\n", + "\n", + "95. 1. 1.43643880405206\n", + "2. 1.54867478956706\n", + "3. 3.87621896582577\n", + "4. 1.94726870172462\n", + "5. 2.5742339576891\n", + "6. 5.2171820522162\n", + "7. 3.52081280689769\n", + "8. 6.02398871771579\n", + "9. 4.51102817150064\n", + "10. 2.65981762009627\n", + "11. 1.46275140135667\n", + "12. 5.75290458314056\n", + "13. 3.98550648781157\n", + "14. 4.12321353789506\n", + "15. 1.32802398212194\n", + "16. 2.94062064732912\n", + "17. 3.66706361358782\n", + "18. 1.55519841885136\n", + "19. 1.89613053750265\n", + "20. 1.60312325950956\n", + "21. 2.46052750570694\n", + "22. 2.82990273763866\n", + "23. 1.5633790954497\n", + "24. 4.84549682334206\n", + "25. 1.74414322819176\n", + "26. 5.18983791478587\n", + "27. 0.844247228362056\n", + "28. 4.35367067298296\n", + "29. 6.43907927597862\n", + "30. 7.30673880477658\n", + "31. 3.66223255011627\n", + "32. 1.0979725373601\n", + "33. 2.92047937027794\n", + "34. 5.1468672003422\n", + "35. 4.08975625538041\n", + "36. 3.06536343718075\n", + "37. 5.33507206273269\n", + "38. 6.37687260211683\n", + "39. 4.525984624515\n", + "40. 5.75978500222561\n", + "41. 2.94346003170871\n", + "42. 5.91311064121097\n", + "43. 1.11570382619415\n", + "44. 2.1952775045174\n", + "45. 4.14634647459473\n", + "46. 5.8286000896229\n", + "47. 4.31981344490456\n", + "48. 2.89241213642501\n", + "49. 3.02401973733788\n", + "50. 1.58029083447084\n", + "51. 5.31997180366737\n", + "52. 4.68173763198653\n", + "53. 2.40621419744565\n", + "54. 3.03923300147406\n", + "55. 5.14894958828532\n", + "56. 6.12188897150415\n", + "57. 5.08321008173743\n", + "58. 2.21670091070366\n", + "59. 2.83550500594612\n", + "60. 2.69463580897004\n", + "61. 6.7518684186614\n", + "62. 3.84109130270764\n", + "63. 2.53422031002786\n", + "64. 0.951731400849121\n", + "65. 4.15103742109718\n", + "66. 2.22803806951928\n", + "67. 5.13219386444939\n", + "68. 2.93156989153062\n", + "69. 1.05566948573595\n", + "70. 1.92842120293313\n", + "71. 3.16479537221521\n", + "72. 1.51909188260437\n", + "73. 2.20626921350063\n", + "74. 4.87737564447012\n", + "75. 6.0588877289465\n", + "76. 1.67898829135586\n", + "77. 2.94425149766152\n", + "78. 1.32002051551156\n", + "79. 4.8019292384043\n", + "80. 4.23627131186268\n", + "81. 3.46659002452724\n", + "82. 6.07240336250166\n", + "83. 2.73528214309522\n", + "84. 5.4984960446979\n", + "85. 2.44153288168726\n", + "86. 4.1036833644979\n", + "87. 6.40760228531041\n", + "88. 1.66058418362417\n", + "89. 0.651160160248533\n", + "90. 3.55444497177945\n", + "91. 3.53710510477784\n", + "92. 3.7161524986302\n", + "93. 5.06451679462338\n", + "94. 1.45429005740805\n", + "95. 2.8513645812963\n", + "96. 2.67416636394247\n", + "97. 4.97914632778663\n", + "98. 2.66009332083154\n", + "99. 1.56295942135331\n", + "100. 2.82828156545098\n", + "\n", + "\n", + "\n", + "96. 1. 5.31123599665174\n", + "2. 2.6782399299104\n", + "3. 4.06903211031843\n", + "4. 2.46559724931941\n", + "5. 5.63716257897125\n", + "6. 2.45129259929994\n", + "7. 8.11032780677088\n", + "8. 6.76869142548798\n", + "9. 8.06804523781269\n", + "10. 2.97936537404365\n", + "11. 3.29828292124787\n", + "12. 4.14968351037537\n", + "13. 4.35342353152183\n", + "14. 1.55830073013505\n", + "15. 5.6602059141095\n", + "16. 3.60205864051197\n", + "17. 4.00122878423867\n", + "18. 2.96539846775199\n", + "19. 4.30188369787398\n", + "20. 3.58186691096708\n", + "21. 2.3949657661787\n", + "22. 4.38613793456937\n", + "23. 1.86846822853612\n", + "24. 2.24395133157509\n", + "25. 4.37439138652786\n", + "26. 3.64357168724138\n", + "27. 2.09522410607595\n", + "28. 3.11252919332491\n", + "29. 1.13987211188936\n", + "30. 2.37354077351319\n", + "31. 3.5888382405005\n", + "32. 6.58410575049697\n", + "33. 9.39341916323933\n", + "34. 3.16879812497586\n", + "35. 2.05557493952022\n", + "36. 1.94904257707117\n", + "37. 1.50887401299584\n", + "38. 1.94976800002086\n", + "39. 2.25270849425213\n", + "40. 3.48065220462912\n", + "41. 2.03898225609372\n", + "42. 2.70210938127278\n", + "43. 1.86810689013887\n", + "44. 7.44540104856528\n", + "45. 2.61896134534881\n", + "46. 4.46653136400798\n", + "47. 1.23162681910072\n", + "48. 3.30431400491656\n", + "49. 2.0159740172404\n", + "50. 1.90055175529677\n", + "51. 1.90743535102928\n", + "52. 8.55796456474423\n", + "53. 1.10823498277059\n", + "54. 3.8256951961443\n", + "55. 6.18206807526252\n", + "56. 8.08380463855267\n", + "57. 6.99113546122814\n", + "58. 1.44595199843346\n", + "59. 3.89004504882135\n", + "60. 7.27955435245444\n", + "61. 3.03143384685337\n", + "62. 3.07312717500267\n", + "63. 4.16906882335074\n", + "64. 2.00683887868271\n", + "65. 2.58085638155415\n", + "66. 4.85477206618362\n", + "67. 1.46576258350094\n", + "68. 1.79336947108072\n", + "69. 6.88305820850394\n", + "70. 2.6092720463159\n", + "71. 2.16620261453973\n", + "72. 3.49382814518736\n", + "73. 6.12850487601244\n", + "74. 2.90178719374118\n", + "75. 3.37895866678373\n", + "76. 4.20415058944357\n", + "77. 4.15956763947138\n", + "78. 4.50171177962191\n", + "79. 5.40882538719338\n", + "80. 5.33171920885349\n", + "81. 1.26627930830959\n", + "82. 7.5871784381666\n", + "83. 4.59798170314301\n", + "84. 4.86161260376263\n", + "85. 3.75285573073823\n", + "86. 6.78634126785394\n", + "87. 4.05362397260599\n", + "88. 3.10673646460336\n", + "89. 2.93727014691759\n", + "90. 2.17440026460763\n", + "91. 0.990088498831513\n", + "92. 2.64208896655188\n", + "93. 4.52615607367195\n", + "94. 4.65959282833915\n", + "95. 4.31195576014804\n", + "96. 5.9642136288838\n", + "97. 7.9942527571839\n", + "98. 8.83394161713035\n", + "99. 6.22396372490012\n", + "100. 3.70240794926587\n", + "\n", + "\n", + "\n", + "97. 1. 10.4526521051621\n", + "2. 2.51866387434055\n", + "3. 4.92786311363469\n", + "4. 3.8875002759213\n", + "5. 2.66783936644446\n", + "6. 2.74023376498258\n", + "7. 1.7341884219078\n", + "8. 1.09756538134191\n", + "9. 5.62313879726521\n", + "10. 1.06727122887135\n", + "11. 6.36268412203547\n", + "12. 8.99499335599424\n", + "13. 3.06489214057882\n", + "14. 2.42870118965495\n", + "15. 4.43516282992955\n", + "16. 1.82076166800488\n", + "17. 2.06666236200352\n", + "18. 5.47448109949682\n", + "19. 6.53302707195576\n", + "20. 2.75807399827481\n", + "21. 2.94105352728979\n", + "22. 0.867816087552038\n", + "23. 5.33951092107493\n", + "24. 2.79057935793874\n", + "25. 1.50428787540203\n", + "26. 6.24014093855965\n", + "27. 1.55948551130947\n", + "28. 4.96283734584717\n", + "29. 4.30269816910587\n", + "30. 2.95507028269207\n", + "31. 5.422381225354\n", + "32. 9.26287125548401\n", + "33. 5.82190884338283\n", + "34. 2.81792470899289\n", + "35. 4.17607248016334\n", + "36. 5.78441354192855\n", + "37. 1.08424453985276\n", + "38. 3.50183615304928\n", + "39. 1.67656500084971\n", + "40. 1.29082570862042\n", + "41. 2.90225271261648\n", + "42. 6.91957534691616\n", + "43. 1.66393033921108\n", + "44. 6.20969311121987\n", + "45. 0.800148198352963\n", + "46. 3.12763662350297\n", + "47. 4.24083758644514\n", + "48. 2.26113019116354\n", + "49. 7.7314182292677\n", + "50. 5.26984002325146\n", + "51. 2.79190036230627\n", + "52. 2.27999917745078\n", + "53. 4.98869932576026\n", + "54. 4.4955591419767\n", + "55. 3.92844614663785\n", + "56. 0.999550086203963\n", + "57. 5.51233633191641\n", + "58. 6.58426456563903\n", + "59. 1.45297422218786\n", + "60. 1.58516552968991\n", + "61. 4.11445477122049\n", + "62. 4.00586870703575\n", + "63. 7.02231833330877\n", + "64. 4.7526636003567\n", + "65. 9.37990078141619\n", + "66. 2.63572059497556\n", + "67. 1.96105805331577\n", + "68. 2.50864844367821\n", + "69. 1.73642024579219\n", + "70. 1.70843723269708\n", + "71. 1.19811780364575\n", + "72. 2.74402442340597\n", + "73. 1.88864676269605\n", + "74. 3.84955644412535\n", + "75. 3.38774090496417\n", + "76. 1.67805350094979\n", + "77. 2.93348640032768\n", + "78. 2.77654442986113\n", + "79. 9.49405218412434\n", + "80. 1.47443916792082\n", + "81. 5.69935930340726\n", + "82. 5.3590202335195\n", + "83. 6.11234470163938\n", + "84. 4.94206183214134\n", + "85. 5.46981170732008\n", + "86. 3.79794759252856\n", + "87. 5.31375855956185\n", + "88. 6.76725791373714\n", + "89. 7.09759017435392\n", + "90. 2.24835279029714\n", + "91. 1.53726921500642\n", + "92. 4.08854573643648\n", + "93. 2.49937798926393\n", + "94. 3.25710688643049\n", + "95. 5.79530714182709\n", + "96. 3.95566412968168\n", + "97. 1.77296403371723\n", + "98. 5.8124045749696\n", + "99. 5.58467802006371\n", + "100. 1.37793723741118\n", + "\n", + "\n", + "\n", + "98. 1. 5.09301510126004\n", + "2. 2.59017986916075\n", + "3. 4.93102914931453\n", + "4. 3.6850494446169\n", + "5. 4.36151722061351\n", + "6. 5.67817918151401\n", + "7. 6.57699528470907\n", + "8. 2.56994611453519\n", + "9. 6.57955788043246\n", + "10. 5.50393672216401\n", + "11. 5.646580412283\n", + "12. 3.54533991087374\n", + "13. 1.94437324383978\n", + "14. 2.10432073603472\n", + "15. 2.9863787677771\n", + "16. 2.66628202767887\n", + "17. 1.14085693391141\n", + "18. 5.04321869378984\n", + "19. 7.37594925308816\n", + "20. 8.13461356174798\n", + "21. 2.66837055509067\n", + "22. 5.52377136988509\n", + "23. 3.47259927610317\n", + "24. 3.26129784658306\n", + "25. 6.58640833706442\n", + "26. 1.57264567858051\n", + "27. 3.29216216621452\n", + "28. 2.19715959176736\n", + "29. 5.35103282354955\n", + "30. 0.678554674556883\n", + "31. 5.70870009989537\n", + "32. 9.66191577398825\n", + "33. 7.86382656996831\n", + "34. 3.06787775935674\n", + "35. 5.64095555666707\n", + "36. 6.35307980878714\n", + "37. 6.81914109885297\n", + "38. 3.54174284300462\n", + "39. 1.88571350466238\n", + "40. 3.0799880963638\n", + "41. 3.71235018710165\n", + "42. 5.35891955181887\n", + "43. 6.91833643230657\n", + "44. 2.21606428646983\n", + "45. 5.26896804987689\n", + "46. 4.07361121796019\n", + "47. 0.929733136517054\n", + "48. 1.59501232117136\n", + "49. 5.64367023651203\n", + "50. 4.29677386315364\n", + "51. 8.13408488844321\n", + "52. 3.12372950142313\n", + "53. 3.17150552029658\n", + "54. 2.17448367599913\n", + "55. 3.26232720301522\n", + "56. 5.6740209159521\n", + "57. 3.05391283067407\n", + "58. 5.63644318167605\n", + "59. 1.81508666832576\n", + "60. 2.66831946318201\n", + "61. 3.42669348239697\n", + "62. 2.66449013365484\n", + "63. 5.65454891756714\n", + "64. 6.34545009865251\n", + "65. 5.52933126751571\n", + "66. 5.00789443893993\n", + "67. 2.8224700582697\n", + "68. 8.04114947689733\n", + "69. 3.05137794119346\n", + "70. 1.65286889798413\n", + "71. 6.97073587249261\n", + "72. 3.23772669796999\n", + "73. 2.67588762953794\n", + "74. 2.56020959272308\n", + "75. 6.61954278899224\n", + "76. 0.858132574424284\n", + "77. 1.95153763052946\n", + "78. 2.33530152976736\n", + "79. 6.2870462406345\n", + "80. 7.71194944070257\n", + "81. 2.3675316597369\n", + "82. 6.46031186943194\n", + "83. 2.9782470110051\n", + "84. 6.03706700167875\n", + "85. 2.82217026445676\n", + "86. 2.71070006533968\n", + "87. 5.68319399234432\n", + "88. 10.0636579760528\n", + "89. 4.3865762012892\n", + "90. 4.66451159951664\n", + "91. 11.4524443837179\n", + "92. 3.57679625501646\n", + "93. 5.12664299727215\n", + "94. 4.24159762062656\n", + "95. 5.05575171655485\n", + "96. 3.92755046847105\n", + "97. 3.68081474631123\n", + "98. 4.54431916153332\n", + "99. 4.19712182854816\n", + "100. 2.14146755330852\n", + "\n", + "\n", + "\n", + "99. 1. 2.04146146097474\n", + "2. 2.42554203336452\n", + "3. 5.25249396126971\n", + "4. 6.19263756309587\n", + "5. 4.62362494806606\n", + "6. 4.09340335092382\n", + "7. 1.93115853027738\n", + "8. 1.26219544794501\n", + "9. 1.39292734017683\n", + "10. 6.64912605674998\n", + "11. 3.87415121741122\n", + "12. 3.52534085845787\n", + "13. 3.27585579081467\n", + "14. 1.42598534713456\n", + "15. 1.37343204848947\n", + "16. 3.12273537182672\n", + "17. 4.50637881201643\n", + "18. 4.45828089388747\n", + "19. 3.23627070875351\n", + "20. 4.25276398281523\n", + "21. 3.78857082612984\n", + "22. 2.14046171983346\n", + "23. 1.76159567747779\n", + "24. 4.16967480133055\n", + "25. 2.58009851216467\n", + "26. 1.1019584219254\n", + "27. 1.727132675334\n", + "28. 1.51970545019593\n", + "29. 4.95530366487367\n", + "30. 4.07938147282209\n", + "31. 1.53444272760632\n", + "32. 0.431415774415312\n", + "33. 0.85691615345478\n", + "34. 5.77623716501355\n", + "35. 3.55366843475954\n", + "36. 1.56832368814692\n", + "37. 1.25145141958583\n", + "38. 3.30678262446153\n", + "39. 4.27530576831439\n", + "40. 0.472475633419961\n", + "41. 1.23141030940955\n", + "42. 2.46179807333542\n", + "43. 0.530654406606547\n", + "44. 1.44914302291089\n", + "45. 1.18470677808123\n", + "46. 0.334843055788787\n", + "47. 2.24789693467148\n", + "48. 3.66222658666611\n", + "49. 0.651384460631593\n", + "50. 4.68466307668709\n", + "51. 1.35850908221928\n", + "52. 1.64079495349557\n", + "53. 3.17735022165765\n", + "54. 2.02334097137212\n", + "55. 3.74371991379895\n", + "56. 2.45139863796661\n", + "57. 4.76052806118108\n", + "58. 4.93497303104865\n", + "59. 1.43496174800101\n", + "60. 2.38517894722624\n", + "61. 2.83222800576101\n", + "62. 5.73817660483561\n", + "63. 3.13022090527497\n", + "64. 5.75687094906348\n", + "65. 2.52952353273524\n", + "66. 0.641764419555756\n", + "67. 5.69308167587773\n", + "68. 5.3994040982222\n", + "69. 3.84091395089706\n", + "70. 1.33861790695842\n", + "71. 3.84842783875693\n", + "72. 1.81922062199453\n", + "73. 1.87676134651359\n", + "74. 0.689927407833831\n", + "75. 1.49037097042834\n", + "76. 0.552457590870918\n", + "77. 1.41006429297135\n", + "78. 4.91884005110471\n", + "79. 3.88768971456017\n", + "80. 2.83677352437254\n", + "81. 2.71636305053575\n", + "82. 1.07476012784537\n", + "83. 2.6352059103364\n", + "84. 2.15305157582722\n", + "85. 2.6621805412283\n", + "86. 0.559108906844843\n", + "87. 3.60015333752607\n", + "88. 1.61096782878387\n", + "89. 1.5474636329926\n", + "90. 1.92553114094238\n", + "91. 1.78867372891052\n", + "92. 4.81926158272027\n", + "93. 2.91362060774003\n", + "94. 1.29529540258203\n", + "95. 4.2895630854609\n", + "96. 3.19433034008136\n", + "97. 4.18337653538384\n", + "98. 0.675435856280608\n", + "99. 1.29845027240727\n", + "100. 7.11598618003524\n", + "\n", + "\n", + "\n", + "100. 1. 4.43944704890988\n", + "2. 3.54231122384243\n", + "3. 9.91757142656201\n", + "4. 5.04147848446689\n", + "5. 5.97730048608501\n", + "6. 1.15287230275333\n", + "7. 3.50973740946375\n", + "8. 5.88083151811405\n", + "9. 4.00905563289877\n", + "10. 7.71647258845813\n", + "11. 7.56332902348785\n", + "12. 4.07457600763432\n", + "13. 2.60613427024997\n", + "14. 4.18475456574651\n", + "15. 5.4416653905488\n", + "16. 4.6890959032634\n", + "17. 3.13349477761043\n", + "18. 4.11504935504607\n", + "19. 4.61905397145515\n", + "20. 5.95511991407191\n", + "21. 4.61270123566858\n", + "22. 3.39026348666788\n", + "23. 3.73955598196214\n", + "24. 7.11583373551326\n", + "25. 3.24644432594063\n", + "26. 8.19249580489309\n", + "27. 4.04429946704869\n", + "28. 7.54922381863185\n", + "29. 5.43602438568103\n", + "30. 2.5915246945874\n", + "31. 6.15477711289347\n", + "32. 1.56820798156013\n", + "33. 4.89706317802843\n", + "34. 1.44411387712469\n", + "35. 6.22505578756493\n", + "36. 3.19627609883623\n", + "37. 1.64145654509368\n", + "38. 6.72592228882691\n", + "39. 8.24544280599653\n", + "40. 3.37857855698227\n", + "41. 4.91461992529451\n", + "42. 4.91003768061374\n", + "43. 4.09619715338891\n", + "44. 2.83810343471771\n", + "45. 2.08150018190126\n", + "46. 4.44743128572487\n", + "47. 3.68884833098128\n", + "48. 4.56853766798641\n", + "49. 3.03637610948974\n", + "50. 4.06070729208018\n", + "51. 5.53239352132721\n", + "52. 0.68197370500225\n", + "53. 7.3995770941421\n", + "54. 4.52232704850611\n", + "55. 8.97801252015206\n", + "56. 3.97397917856927\n", + "57. 7.55351413077734\n", + "58. 1.92064354509496\n", + "59. 1.55321275272765\n", + "60. 2.94193388160428\n", + "61. 6.7855561305636\n", + "62. 1.21969369680606\n", + "63. 6.23351538450622\n", + "64. 3.72854868095465\n", + "65. 1.70880586167537\n", + "66. 7.08779361220186\n", + "67. 7.08197492354052\n", + "68. 7.82385077022362\n", + "69. 4.87845320495577\n", + "70. 5.19480164775158\n", + "71. 5.04996939004307\n", + "72. 6.0580602687296\n", + "73. 5.38637104536737\n", + "74. 5.29467546181735\n", + "75. 1.93307295200606\n", + "76. 4.51076107400563\n", + "77. 1.57604180482628\n", + "78. 1.72698149409875\n", + "79. 2.32250771311727\n", + "80. 6.69450290284423\n", + "81. 2.18900289645537\n", + "82. 5.99477950461434\n", + "83. 2.96418889367398\n", + "84. 3.15506895289002\n", + "85. 7.86743024143043\n", + "86. 5.40840685271142\n", + "87. 3.45538578412009\n", + "88. 4.5320324201743\n", + "89. 2.33814519226334\n", + "90. 6.79974000787963\n", + "91. 2.39859169711112\n", + "92. 1.94686568029196\n", + "93. 6.28300231798968\n", + "94. 5.97977876282073\n", + "95. 1.95333222138206\n", + "96. 3.53392062515595\n", + "97. 6.7164339394685\n", + "98. 4.44654046050198\n", + "99. 1.89288546957546\n", + "100. 5.67134591426356\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n" + ], + "text/plain": [ + "$num_boot\n", + "[1] 100\n", + "\n", + "$method\n", + "[1] \"RF\"\n", + "\n", + "$stab_index\n", + " [1] 0.07 0.03 0.06 0.02 0.05 0.04 0.04 0.03 0.04 0.03 0.02 0.01 0.05 0.03 0.02\n", + " [16] 0.05 0.04 0.06 0.06 0.06 0.11 0.05 0.05 0.04 0.04 0.04 0.03 0.04 0.04 0.05\n", + " [31] 0.02 0.05 0.04 0.06 0.05 0.06 0.07 0.05 0.03 0.03 0.03 0.02 0.02 0.03 0.05\n", + " [46] 0.03 0.05 0.02 0.04 0.04 0.01 0.04 0.06 0.02 0.03 0.07 0.02 0.02 0.03 0.04\n", + " [61] 0.03 0.01 0.07 0.03 0.03 0.03 0.03 0.03 0.06 0.04 0.05 0.06 0.03 0.04 0.08\n", + " [76] 0.03 0.05 0.04 0.05 0.05 0.09 0.03 0.04 0.03 0.08 0.02 0.01 0.03 0.04 0.03\n", + " [91] 0.01 0.05 0.04 0.03 0.05 0.03 0.05 0.05 0.03 0.04\n", + "\n", + "$MSE_list\n", + "$MSE_list[[1]]\n", + "$MSE_list[[1]][[1]]\n", + "[1] 4.246522\n", + "\n", + "$MSE_list[[1]][[2]]\n", + "[1] 4.737736\n", + "\n", + "$MSE_list[[1]][[3]]\n", + "[1] 2.032187\n", + "\n", + "$MSE_list[[1]][[4]]\n", + "[1] 5.016978\n", + "\n", + "$MSE_list[[1]][[5]]\n", + "[1] 5.125915\n", + "\n", + "$MSE_list[[1]][[6]]\n", + "[1] 6.805937\n", + "\n", + "$MSE_list[[1]][[7]]\n", + "[1] 5.079172\n", + "\n", + "$MSE_list[[1]][[8]]\n", + "[1] 1.287901\n", + "\n", + "$MSE_list[[1]][[9]]\n", + "[1] 5.38322\n", + "\n", + "$MSE_list[[1]][[10]]\n", + "[1] 3.861767\n", + "\n", + "$MSE_list[[1]][[11]]\n", + "[1] 6.004049\n", + "\n", + "$MSE_list[[1]][[12]]\n", + "[1] 6.089926\n", + "\n", + "$MSE_list[[1]][[13]]\n", + "[1] 3.331837\n", + "\n", + "$MSE_list[[1]][[14]]\n", + "[1] 3.416389\n", + "\n", + "$MSE_list[[1]][[15]]\n", + "[1] 5.950655\n", + "\n", + "$MSE_list[[1]][[16]]\n", + "[1] 4.496031\n", + "\n", + "$MSE_list[[1]][[17]]\n", + "[1] 4.585595\n", + "\n", + "$MSE_list[[1]][[18]]\n", + "[1] 5.586562\n", + "\n", + "$MSE_list[[1]][[19]]\n", + "[1] 3.636955\n", + "\n", + "$MSE_list[[1]][[20]]\n", + "[1] 5.72854\n", + "\n", + "$MSE_list[[1]][[21]]\n", + "[1] 7.192648\n", + "\n", + "$MSE_list[[1]][[22]]\n", + "[1] 1.74736\n", + "\n", + "$MSE_list[[1]][[23]]\n", + "[1] 5.293882\n", + "\n", + "$MSE_list[[1]][[24]]\n", + "[1] 4.208953\n", + "\n", + "$MSE_list[[1]][[25]]\n", + "[1] 1.86224\n", + "\n", + "$MSE_list[[1]][[26]]\n", + "[1] 7.306218\n", + "\n", + "$MSE_list[[1]][[27]]\n", + "[1] 6.119949\n", + "\n", + "$MSE_list[[1]][[28]]\n", + "[1] 3.474524\n", + "\n", + "$MSE_list[[1]][[29]]\n", + "[1] 5.00876\n", + "\n", + "$MSE_list[[1]][[30]]\n", + "[1] 12.64908\n", + "\n", + "$MSE_list[[1]][[31]]\n", + "[1] 1.946404\n", + "\n", + "$MSE_list[[1]][[32]]\n", + "[1] 5.135023\n", + "\n", + "$MSE_list[[1]][[33]]\n", + "[1] 5.527195\n", + "\n", + "$MSE_list[[1]][[34]]\n", + "[1] 7.006471\n", + "\n", + "$MSE_list[[1]][[35]]\n", + "[1] 9.334931\n", + "\n", + "$MSE_list[[1]][[36]]\n", + "[1] 2.523064\n", + "\n", + "$MSE_list[[1]][[37]]\n", + "[1] 6.576487\n", + "\n", + "$MSE_list[[1]][[38]]\n", + "[1] 2.417561\n", + "\n", + "$MSE_list[[1]][[39]]\n", + "[1] 4.72736\n", + "\n", + "$MSE_list[[1]][[40]]\n", + "[1] 7.851008\n", + "\n", + "$MSE_list[[1]][[41]]\n", + "[1] 5.775692\n", + "\n", + "$MSE_list[[1]][[42]]\n", + "[1] 7.005156\n", + "\n", + "$MSE_list[[1]][[43]]\n", + "[1] 3.250514\n", + "\n", + "$MSE_list[[1]][[44]]\n", + "[1] 5.091791\n", + "\n", + "$MSE_list[[1]][[45]]\n", + "[1] 5.764755\n", + "\n", + "$MSE_list[[1]][[46]]\n", + "[1] 4.365883\n", + "\n", + "$MSE_list[[1]][[47]]\n", + "[1] 9.219875\n", + "\n", + "$MSE_list[[1]][[48]]\n", + "[1] 1.878441\n", + "\n", + "$MSE_list[[1]][[49]]\n", + "[1] 6.035183\n", + "\n", + "$MSE_list[[1]][[50]]\n", + "[1] 4.799556\n", + "\n", + "$MSE_list[[1]][[51]]\n", + "[1] 7.140225\n", + "\n", + "$MSE_list[[1]][[52]]\n", + "[1] 7.158503\n", + "\n", + "$MSE_list[[1]][[53]]\n", + "[1] 6.258684\n", + "\n", + "$MSE_list[[1]][[54]]\n", + "[1] 4.194166\n", + "\n", + "$MSE_list[[1]][[55]]\n", + "[1] 5.001723\n", + "\n", + "$MSE_list[[1]][[56]]\n", + "[1] 5.17672\n", + "\n", + "$MSE_list[[1]][[57]]\n", + "[1] 1.763547\n", + "\n", + "$MSE_list[[1]][[58]]\n", + "[1] 4.572606\n", + "\n", + "$MSE_list[[1]][[59]]\n", + "[1] 3.890467\n", + "\n", + "$MSE_list[[1]][[60]]\n", + "[1] 4.327439\n", + "\n", + "$MSE_list[[1]][[61]]\n", + "[1] 4.278764\n", + "\n", + "$MSE_list[[1]][[62]]\n", + "[1] 5.320181\n", + "\n", + "$MSE_list[[1]][[63]]\n", + "[1] 4.800082\n", + "\n", + "$MSE_list[[1]][[64]]\n", + "[1] 5.655775\n", + "\n", + "$MSE_list[[1]][[65]]\n", + "[1] 4.746261\n", + "\n", + "$MSE_list[[1]][[66]]\n", + "[1] 6.677165\n", + "\n", + "$MSE_list[[1]][[67]]\n", + "[1] 3.778966\n", + "\n", + "$MSE_list[[1]][[68]]\n", + "[1] 1.268907\n", + "\n", + "$MSE_list[[1]][[69]]\n", + "[1] 5.107639\n", + "\n", + "$MSE_list[[1]][[70]]\n", + "[1] 3.938319\n", + "\n", + "$MSE_list[[1]][[71]]\n", + "[1] 7.488495\n", + "\n", + "$MSE_list[[1]][[72]]\n", + "[1] 4.977687\n", + "\n", + "$MSE_list[[1]][[73]]\n", + "[1] 8.417\n", + "\n", + "$MSE_list[[1]][[74]]\n", + "[1] 5.473366\n", + "\n", + "$MSE_list[[1]][[75]]\n", + "[1] 3.341454\n", + "\n", + "$MSE_list[[1]][[76]]\n", + "[1] 2.485523\n", + "\n", + "$MSE_list[[1]][[77]]\n", + "[1] 5.874668\n", + "\n", + "$MSE_list[[1]][[78]]\n", + "[1] 9.076922\n", + "\n", + "$MSE_list[[1]][[79]]\n", + "[1] 4.568951\n", + "\n", + "$MSE_list[[1]][[80]]\n", + "[1] 3.068921\n", + "\n", + "$MSE_list[[1]][[81]]\n", + "[1] 3.966005\n", + "\n", + "$MSE_list[[1]][[82]]\n", + "[1] 4.662339\n", + "\n", + "$MSE_list[[1]][[83]]\n", + "[1] 5.746717\n", + "\n", + "$MSE_list[[1]][[84]]\n", + "[1] 3.601928\n", + "\n", + "$MSE_list[[1]][[85]]\n", + "[1] 4.506161\n", + "\n", + "$MSE_list[[1]][[86]]\n", + "[1] 2.371908\n", + "\n", + "$MSE_list[[1]][[87]]\n", + "[1] 5.118728\n", + "\n", + "$MSE_list[[1]][[88]]\n", + "[1] 7.465684\n", + "\n", + "$MSE_list[[1]][[89]]\n", + "[1] 4.480373\n", + "\n", + "$MSE_list[[1]][[90]]\n", + "[1] 4.783739\n", + "\n", + "$MSE_list[[1]][[91]]\n", + "[1] 5.192623\n", + "\n", + "$MSE_list[[1]][[92]]\n", + "[1] 1.559251\n", + "\n", + "$MSE_list[[1]][[93]]\n", + "[1] 5.065384\n", + "\n", + "$MSE_list[[1]][[94]]\n", + "[1] 4.378379\n", + "\n", + "$MSE_list[[1]][[95]]\n", + "[1] 0.7733967\n", + "\n", + "$MSE_list[[1]][[96]]\n", + "[1] 4.096621\n", + "\n", + "$MSE_list[[1]][[97]]\n", + "[1] 6.011512\n", + "\n", + "$MSE_list[[1]][[98]]\n", + "[1] 4.119381\n", + "\n", + "$MSE_list[[1]][[99]]\n", + "[1] 1.403429\n", + "\n", + "$MSE_list[[1]][[100]]\n", + "[1] 6.947019\n", + "\n", + "\n", + "$MSE_list[[2]]\n", + "$MSE_list[[2]][[1]]\n", + "[1] 2.468813\n", + "\n", + "$MSE_list[[2]][[2]]\n", + "[1] 1.620456\n", + "\n", + "$MSE_list[[2]][[3]]\n", + "[1] 3.078034\n", + "\n", + "$MSE_list[[2]][[4]]\n", + "[1] 3.661618\n", + "\n", + "$MSE_list[[2]][[5]]\n", + "[1] 2.343771\n", + "\n", + "$MSE_list[[2]][[6]]\n", + "[1] 1.996981\n", + "\n", + "$MSE_list[[2]][[7]]\n", + "[1] 1.298201\n", + "\n", + "$MSE_list[[2]][[8]]\n", + "[1] 3.238136\n", + "\n", + "$MSE_list[[2]][[9]]\n", + "[1] 2.339977\n", + "\n", + "$MSE_list[[2]][[10]]\n", + "[1] 2.947203\n", + "\n", + "$MSE_list[[2]][[11]]\n", + "[1] 1.812409\n", + "\n", + "$MSE_list[[2]][[12]]\n", + "[1] 2.623126\n", + "\n", + "$MSE_list[[2]][[13]]\n", + "[1] 1.317598\n", + "\n", + "$MSE_list[[2]][[14]]\n", + "[1] 2.039152\n", + "\n", + "$MSE_list[[2]][[15]]\n", + "[1] 2.157006\n", + "\n", + "$MSE_list[[2]][[16]]\n", + "[1] 1.75262\n", + "\n", + "$MSE_list[[2]][[17]]\n", + "[1] 1.52688\n", + "\n", + "$MSE_list[[2]][[18]]\n", + "[1] 1.493827\n", + "\n", + "$MSE_list[[2]][[19]]\n", + "[1] 3.099489\n", + "\n", + "$MSE_list[[2]][[20]]\n", + "[1] 2.185582\n", + "\n", + "$MSE_list[[2]][[21]]\n", + "[1] 2.497706\n", + "\n", + "$MSE_list[[2]][[22]]\n", + "[1] 4.486323\n", + "\n", + "$MSE_list[[2]][[23]]\n", + "[1] 3.548792\n", + "\n", + "$MSE_list[[2]][[24]]\n", + "[1] 1.919189\n", + "\n", + "$MSE_list[[2]][[25]]\n", + "[1] 4.61612\n", + "\n", + "$MSE_list[[2]][[26]]\n", + "[1] 1.326855\n", + "\n", + "$MSE_list[[2]][[27]]\n", + "[1] 1.184643\n", + "\n", + "$MSE_list[[2]][[28]]\n", + "[1] 1.087458\n", + "\n", + "$MSE_list[[2]][[29]]\n", + "[1] 2.826701\n", + "\n", + "$MSE_list[[2]][[30]]\n", + "[1] 1.663988\n", + "\n", + "$MSE_list[[2]][[31]]\n", + "[1] 2.094311\n", + "\n", + "$MSE_list[[2]][[32]]\n", + "[1] 1.2862\n", + "\n", + "$MSE_list[[2]][[33]]\n", + "[1] 1.201011\n", + "\n", + "$MSE_list[[2]][[34]]\n", + "[1] 1.092922\n", + "\n", + "$MSE_list[[2]][[35]]\n", + "[1] 1.916481\n", + "\n", + "$MSE_list[[2]][[36]]\n", + "[1] 0.9961444\n", + "\n", + "$MSE_list[[2]][[37]]\n", + "[1] 2.154764\n", + "\n", + "$MSE_list[[2]][[38]]\n", + "[1] 1.971027\n", + "\n", + "$MSE_list[[2]][[39]]\n", + "[1] 1.279715\n", + "\n", + "$MSE_list[[2]][[40]]\n", + "[1] 2.618982\n", + "\n", + "$MSE_list[[2]][[41]]\n", + "[1] 0.9858084\n", + "\n", + "$MSE_list[[2]][[42]]\n", + "[1] 2.102404\n", + "\n", + "$MSE_list[[2]][[43]]\n", + "[1] 1.626032\n", + "\n", + "$MSE_list[[2]][[44]]\n", + "[1] 2.258092\n", + "\n", + "$MSE_list[[2]][[45]]\n", + "[1] 2.839951\n", + "\n", + "$MSE_list[[2]][[46]]\n", + "[1] 4.195366\n", + "\n", + "$MSE_list[[2]][[47]]\n", + "[1] 1.08891\n", + "\n", + "$MSE_list[[2]][[48]]\n", + "[1] 1.945011\n", + "\n", + "$MSE_list[[2]][[49]]\n", + "[1] 1.757323\n", + "\n", + "$MSE_list[[2]][[50]]\n", + "[1] 2.512785\n", + "\n", + "$MSE_list[[2]][[51]]\n", + "[1] 4.858607\n", + "\n", + "$MSE_list[[2]][[52]]\n", + "[1] 2.106297\n", + "\n", + "$MSE_list[[2]][[53]]\n", + "[1] 1.393559\n", + "\n", + "$MSE_list[[2]][[54]]\n", + "[1] 0.5785972\n", + "\n", + "$MSE_list[[2]][[55]]\n", + "[1] 1.591479\n", + "\n", + "$MSE_list[[2]][[56]]\n", + "[1] 1.405149\n", + "\n", + "$MSE_list[[2]][[57]]\n", + "[1] 1.970398\n", + "\n", + "$MSE_list[[2]][[58]]\n", + "[1] 3.141967\n", + "\n", + "$MSE_list[[2]][[59]]\n", + "[1] 2.826636\n", + "\n", + "$MSE_list[[2]][[60]]\n", + "[1] 1.084673\n", + "\n", + "$MSE_list[[2]][[61]]\n", + "[1] 2.266024\n", + "\n", + "$MSE_list[[2]][[62]]\n", + "[1] 1.396509\n", + "\n", + "$MSE_list[[2]][[63]]\n", + "[1] 1.085839\n", + "\n", + "$MSE_list[[2]][[64]]\n", + "[1] 2.331802\n", + "\n", + "$MSE_list[[2]][[65]]\n", + "[1] 2.260779\n", + "\n", + "$MSE_list[[2]][[66]]\n", + "[1] 0.663959\n", + "\n", + "$MSE_list[[2]][[67]]\n", + "[1] 2.987697\n", + "\n", + "$MSE_list[[2]][[68]]\n", + "[1] 2.44755\n", + "\n", + "$MSE_list[[2]][[69]]\n", + "[1] 4.197249\n", + "\n", + "$MSE_list[[2]][[70]]\n", + "[1] 1.505566\n", + "\n", + "$MSE_list[[2]][[71]]\n", + "[1] 2.548027\n", + "\n", + "$MSE_list[[2]][[72]]\n", + "[1] 3.78545\n", + "\n", + "$MSE_list[[2]][[73]]\n", + "[1] 3.734425\n", + "\n", + "$MSE_list[[2]][[74]]\n", + "[1] 4.206828\n", + "\n", + "$MSE_list[[2]][[75]]\n", + "[1] 3.419669\n", + "\n", + "$MSE_list[[2]][[76]]\n", + "[1] 1.346116\n", + "\n", + "$MSE_list[[2]][[77]]\n", + "[1] 2.504431\n", + "\n", + "$MSE_list[[2]][[78]]\n", + "[1] 1.713258\n", + "\n", + "$MSE_list[[2]][[79]]\n", + "[1] 2.954171\n", + "\n", + "$MSE_list[[2]][[80]]\n", + "[1] 1.02515\n", + "\n", + "$MSE_list[[2]][[81]]\n", + "[1] 2.053911\n", + "\n", + "$MSE_list[[2]][[82]]\n", + "[1] 0.4107386\n", + "\n", + "$MSE_list[[2]][[83]]\n", + "[1] 1.344465\n", + "\n", + "$MSE_list[[2]][[84]]\n", + "[1] 2.699834\n", + "\n", + "$MSE_list[[2]][[85]]\n", + "[1] 3.070901\n", + "\n", + "$MSE_list[[2]][[86]]\n", + "[1] 1.843171\n", + "\n", + "$MSE_list[[2]][[87]]\n", + "[1] 1.119776\n", + "\n", + "$MSE_list[[2]][[88]]\n", + "[1] 1.10035\n", + "\n", + "$MSE_list[[2]][[89]]\n", + "[1] 2.70348\n", + "\n", + "$MSE_list[[2]][[90]]\n", + "[1] 1.829687\n", + "\n", + "$MSE_list[[2]][[91]]\n", + "[1] 1.631605\n", + "\n", + "$MSE_list[[2]][[92]]\n", + "[1] 1.223473\n", + "\n", + "$MSE_list[[2]][[93]]\n", + "[1] 1.939969\n", + "\n", + "$MSE_list[[2]][[94]]\n", + "[1] 2.169499\n", + "\n", + "$MSE_list[[2]][[95]]\n", + "[1] 2.536299\n", + "\n", + "$MSE_list[[2]][[96]]\n", + "[1] 1.001699\n", + "\n", + "$MSE_list[[2]][[97]]\n", + "[1] 1.410667\n", + "\n", + "$MSE_list[[2]][[98]]\n", + "[1] 1.246778\n", + "\n", + "$MSE_list[[2]][[99]]\n", + "[1] 1.918372\n", + "\n", + "$MSE_list[[2]][[100]]\n", + "[1] 4.275343\n", + "\n", + "\n", + "$MSE_list[[3]]\n", + "$MSE_list[[3]][[1]]\n", + "[1] 7.896996\n", + "\n", + "$MSE_list[[3]][[2]]\n", + "[1] 4.68396\n", + "\n", + "$MSE_list[[3]][[3]]\n", + "[1] 6.652874\n", + "\n", + "$MSE_list[[3]][[4]]\n", + "[1] 2.042999\n", + "\n", + "$MSE_list[[3]][[5]]\n", + "[1] 8.097508\n", + "\n", + "$MSE_list[[3]][[6]]\n", + "[1] 9.805841\n", + "\n", + "$MSE_list[[3]][[7]]\n", + "[1] 1.71425\n", + "\n", + "$MSE_list[[3]][[8]]\n", + "[1] 8.356629\n", + "\n", + "$MSE_list[[3]][[9]]\n", + "[1] 4.412216\n", + "\n", + "$MSE_list[[3]][[10]]\n", + "[1] 3.598584\n", + "\n", + "$MSE_list[[3]][[11]]\n", + "[1] 3.278778\n", + "\n", + "$MSE_list[[3]][[12]]\n", + "[1] 7.41604\n", + "\n", + "$MSE_list[[3]][[13]]\n", + "[1] 9.543571\n", + "\n", + "$MSE_list[[3]][[14]]\n", + "[1] 3.129907\n", + "\n", + "$MSE_list[[3]][[15]]\n", + "[1] 8.742639\n", + "\n", + "$MSE_list[[3]][[16]]\n", + "[1] 3.137393\n", + "\n", + "$MSE_list[[3]][[17]]\n", + "[1] 2.789949\n", + "\n", + "$MSE_list[[3]][[18]]\n", + "[1] 4.657903\n", + "\n", + "$MSE_list[[3]][[19]]\n", + "[1] 5.610488\n", + "\n", + "$MSE_list[[3]][[20]]\n", + "[1] 8.97593\n", + "\n", + "$MSE_list[[3]][[21]]\n", + "[1] 7.767894\n", + "\n", + "$MSE_list[[3]][[22]]\n", + "[1] 7.899152\n", + "\n", + "$MSE_list[[3]][[23]]\n", + "[1] 6.029654\n", + "\n", + "$MSE_list[[3]][[24]]\n", + "[1] 10.40465\n", + "\n", + "$MSE_list[[3]][[25]]\n", + "[1] 4.096155\n", + "\n", + "$MSE_list[[3]][[26]]\n", + "[1] 4.975203\n", + "\n", + "$MSE_list[[3]][[27]]\n", + "[1] 3.966134\n", + "\n", + "$MSE_list[[3]][[28]]\n", + "[1] 4.061464\n", + "\n", + "$MSE_list[[3]][[29]]\n", + "[1] 4.879685\n", + "\n", + "$MSE_list[[3]][[30]]\n", + "[1] 3.37573\n", + "\n", + "$MSE_list[[3]][[31]]\n", + "[1] 7.980236\n", + "\n", + "$MSE_list[[3]][[32]]\n", + "[1] 8.642732\n", + "\n", + "$MSE_list[[3]][[33]]\n", + "[1] 8.614608\n", + "\n", + "$MSE_list[[3]][[34]]\n", + "[1] 2.792516\n", + "\n", + "$MSE_list[[3]][[35]]\n", + "[1] 6.542563\n", + "\n", + "$MSE_list[[3]][[36]]\n", + "[1] 6.054634\n", + "\n", + "$MSE_list[[3]][[37]]\n", + "[1] 12.11085\n", + "\n", + "$MSE_list[[3]][[38]]\n", + "[1] 5.741401\n", + "\n", + "$MSE_list[[3]][[39]]\n", + "[1] 6.08667\n", + "\n", + "$MSE_list[[3]][[40]]\n", + "[1] 5.99598\n", + "\n", + "$MSE_list[[3]][[41]]\n", + "[1] 4.952336\n", + "\n", + "$MSE_list[[3]][[42]]\n", + "[1] 5.334001\n", + "\n", + "$MSE_list[[3]][[43]]\n", + "[1] 6.343725\n", + "\n", + "$MSE_list[[3]][[44]]\n", + "[1] 3.579692\n", + "\n", + "$MSE_list[[3]][[45]]\n", + "[1] 5.194896\n", + "\n", + "$MSE_list[[3]][[46]]\n", + "[1] 5.165967\n", + "\n", + "$MSE_list[[3]][[47]]\n", + "[1] 3.803156\n", + "\n", + "$MSE_list[[3]][[48]]\n", + "[1] 5.256656\n", + "\n", + "$MSE_list[[3]][[49]]\n", + "[1] 7.031331\n", + "\n", + "$MSE_list[[3]][[50]]\n", + "[1] 2.860416\n", + "\n", + "$MSE_list[[3]][[51]]\n", + "[1] 7.341286\n", + "\n", + "$MSE_list[[3]][[52]]\n", + "[1] 7.7728\n", + "\n", + "$MSE_list[[3]][[53]]\n", + "[1] 10.10147\n", + "\n", + "$MSE_list[[3]][[54]]\n", + "[1] 4.719238\n", + "\n", + "$MSE_list[[3]][[55]]\n", + "[1] 2.578822\n", + "\n", + "$MSE_list[[3]][[56]]\n", + "[1] 9.715929\n", + "\n", + "$MSE_list[[3]][[57]]\n", + "[1] 2.728213\n", + "\n", + "$MSE_list[[3]][[58]]\n", + "[1] 3.922196\n", + "\n", + "$MSE_list[[3]][[59]]\n", + "[1] 2.850401\n", + "\n", + "$MSE_list[[3]][[60]]\n", + "[1] 7.617694\n", + "\n", + "$MSE_list[[3]][[61]]\n", + "[1] 2.519349\n", + "\n", + "$MSE_list[[3]][[62]]\n", + "[1] 2.326704\n", + "\n", + "$MSE_list[[3]][[63]]\n", + "[1] 1.50297\n", + "\n", + "$MSE_list[[3]][[64]]\n", + "[1] 3.31231\n", + "\n", + "$MSE_list[[3]][[65]]\n", + "[1] 5.041911\n", + "\n", + "$MSE_list[[3]][[66]]\n", + "[1] 5.265341\n", + "\n", + "$MSE_list[[3]][[67]]\n", + "[1] 6.473663\n", + "\n", + "$MSE_list[[3]][[68]]\n", + "[1] 3.135124\n", + "\n", + "$MSE_list[[3]][[69]]\n", + "[1] 5.854303\n", + "\n", + "$MSE_list[[3]][[70]]\n", + "[1] 2.570862\n", + "\n", + "$MSE_list[[3]][[71]]\n", + "[1] 2.814627\n", + "\n", + "$MSE_list[[3]][[72]]\n", + "[1] 3.945394\n", + "\n", + "$MSE_list[[3]][[73]]\n", + "[1] 2.159992\n", + "\n", + "$MSE_list[[3]][[74]]\n", + "[1] 5.783692\n", + "\n", + "$MSE_list[[3]][[75]]\n", + "[1] 8.015662\n", + "\n", + "$MSE_list[[3]][[76]]\n", + "[1] 4.174878\n", + "\n", + "$MSE_list[[3]][[77]]\n", + "[1] 10.77237\n", + "\n", + "$MSE_list[[3]][[78]]\n", + "[1] 4.14947\n", + "\n", + "$MSE_list[[3]][[79]]\n", + "[1] 2.858276\n", + "\n", + "$MSE_list[[3]][[80]]\n", + "[1] 10.3358\n", + "\n", + "$MSE_list[[3]][[81]]\n", + "[1] 7.632196\n", + "\n", + "$MSE_list[[3]][[82]]\n", + "[1] 4.134647\n", + "\n", + "$MSE_list[[3]][[83]]\n", + "[1] 5.417568\n", + "\n", + "$MSE_list[[3]][[84]]\n", + "[1] 6.271291\n", + "\n", + "$MSE_list[[3]][[85]]\n", + "[1] 6.460079\n", + "\n", + "$MSE_list[[3]][[86]]\n", + "[1] 6.240884\n", + "\n", + "$MSE_list[[3]][[87]]\n", + "[1] 8.368398\n", + "\n", + "$MSE_list[[3]][[88]]\n", + "[1] 5.128791\n", + "\n", + "$MSE_list[[3]][[89]]\n", + "[1] 5.396923\n", + "\n", + "$MSE_list[[3]][[90]]\n", + "[1] 6.03714\n", + "\n", + "$MSE_list[[3]][[91]]\n", + "[1] 6.90112\n", + "\n", + "$MSE_list[[3]][[92]]\n", + "[1] 9.503804\n", + "\n", + "$MSE_list[[3]][[93]]\n", + "[1] 8.427025\n", + "\n", + "$MSE_list[[3]][[94]]\n", + "[1] 8.679974\n", + "\n", + "$MSE_list[[3]][[95]]\n", + "[1] 5.746441\n", + "\n", + "$MSE_list[[3]][[96]]\n", + "[1] 7.308383\n", + "\n", + "$MSE_list[[3]][[97]]\n", + "[1] 6.305516\n", + "\n", + "$MSE_list[[3]][[98]]\n", + "[1] 9.736217\n", + "\n", + "$MSE_list[[3]][[99]]\n", + "[1] 5.088604\n", + "\n", + "$MSE_list[[3]][[100]]\n", + "[1] 2.518616\n", + "\n", + "\n", + "$MSE_list[[4]]\n", + "$MSE_list[[4]][[1]]\n", + "[1] 2.436129\n", + "\n", + "$MSE_list[[4]][[2]]\n", + "[1] 6.07363\n", + "\n", + "$MSE_list[[4]][[3]]\n", + "[1] 1.360046\n", + "\n", + "$MSE_list[[4]][[4]]\n", + "[1] 10.57968\n", + "\n", + "$MSE_list[[4]][[5]]\n", + "[1] 1.13336\n", + "\n", + "$MSE_list[[4]][[6]]\n", + "[1] 7.497966\n", + "\n", + "$MSE_list[[4]][[7]]\n", + "[1] 6.505544\n", + "\n", + "$MSE_list[[4]][[8]]\n", + "[1] 5.824332\n", + "\n", + "$MSE_list[[4]][[9]]\n", + "[1] 1.483333\n", + "\n", + "$MSE_list[[4]][[10]]\n", + "[1] 7.526649\n", + "\n", + "$MSE_list[[4]][[11]]\n", + "[1] 4.901277\n", + "\n", + "$MSE_list[[4]][[12]]\n", + "[1] 2.360673\n", + "\n", + "$MSE_list[[4]][[13]]\n", + "[1] 10.28543\n", + "\n", + "$MSE_list[[4]][[14]]\n", + "[1] 7.739333\n", + "\n", + "$MSE_list[[4]][[15]]\n", + "[1] 4.63007\n", + "\n", + "$MSE_list[[4]][[16]]\n", + "[1] 1.275895\n", + "\n", + "$MSE_list[[4]][[17]]\n", + "[1] 4.52907\n", + "\n", + "$MSE_list[[4]][[18]]\n", + "[1] 7.172904\n", + "\n", + "$MSE_list[[4]][[19]]\n", + "[1] 2.011865\n", + "\n", + "$MSE_list[[4]][[20]]\n", + "[1] 4.464627\n", + "\n", + "$MSE_list[[4]][[21]]\n", + "[1] 4.012795\n", + "\n", + "$MSE_list[[4]][[22]]\n", + "[1] 7.089823\n", + "\n", + "$MSE_list[[4]][[23]]\n", + "[1] 5.191558\n", + "\n", + "$MSE_list[[4]][[24]]\n", + "[1] 0.9586438\n", + "\n", + "$MSE_list[[4]][[25]]\n", + "[1] 1.559644\n", + "\n", + "$MSE_list[[4]][[26]]\n", + "[1] 5.458328\n", + "\n", + "$MSE_list[[4]][[27]]\n", + "[1] 2.031011\n", + "\n", + "$MSE_list[[4]][[28]]\n", + "[1] 2.380959\n", + "\n", + "$MSE_list[[4]][[29]]\n", + "[1] 1.496756\n", + "\n", + "$MSE_list[[4]][[30]]\n", + "[1] 3.004698\n", + "\n", + "$MSE_list[[4]][[31]]\n", + "[1] 1.841007\n", + "\n", + "$MSE_list[[4]][[32]]\n", + "[1] 1.812192\n", + "\n", + "$MSE_list[[4]][[33]]\n", + "[1] 1.807757\n", + "\n", + "$MSE_list[[4]][[34]]\n", + "[1] 1.455939\n", + "\n", + "$MSE_list[[4]][[35]]\n", + "[1] 5.407729\n", + "\n", + "$MSE_list[[4]][[36]]\n", + "[1] 1.707175\n", + "\n", + "$MSE_list[[4]][[37]]\n", + "[1] 4.477793\n", + "\n", + "$MSE_list[[4]][[38]]\n", + "[1] 2.611399\n", + "\n", + "$MSE_list[[4]][[39]]\n", + "[1] 1.943945\n", + "\n", + "$MSE_list[[4]][[40]]\n", + "[1] 3.896425\n", + "\n", + "$MSE_list[[4]][[41]]\n", + "[1] 5.478006\n", + "\n", + "$MSE_list[[4]][[42]]\n", + "[1] 4.178888\n", + "\n", + "$MSE_list[[4]][[43]]\n", + "[1] 7.969911\n", + "\n", + "$MSE_list[[4]][[44]]\n", + "[1] 5.659427\n", + "\n", + "$MSE_list[[4]][[45]]\n", + "[1] 0.8106196\n", + "\n", + "$MSE_list[[4]][[46]]\n", + "[1] 1.133184\n", + "\n", + "$MSE_list[[4]][[47]]\n", + "[1] 4.195781\n", + "\n", + "$MSE_list[[4]][[48]]\n", + "[1] 3.336779\n", + "\n", + "$MSE_list[[4]][[49]]\n", + "[1] 2.915843\n", + "\n", + "$MSE_list[[4]][[50]]\n", + "[1] 2.269741\n", + "\n", + "$MSE_list[[4]][[51]]\n", + "[1] 1.65782\n", + "\n", + "$MSE_list[[4]][[52]]\n", + "[1] 8.792028\n", + "\n", + "$MSE_list[[4]][[53]]\n", + "[1] 3.642144\n", + "\n", + "$MSE_list[[4]][[54]]\n", + "[1] 1.272543\n", + "\n", + "$MSE_list[[4]][[55]]\n", + "[1] 1.549394\n", + "\n", + "$MSE_list[[4]][[56]]\n", + "[1] 1.600309\n", + "\n", + "$MSE_list[[4]][[57]]\n", + "[1] 2.253729\n", + "\n", + "$MSE_list[[4]][[58]]\n", + "[1] 3.704247\n", + "\n", + "$MSE_list[[4]][[59]]\n", + "[1] 3.436343\n", + "\n", + "$MSE_list[[4]][[60]]\n", + "[1] 5.510501\n", + "\n", + "$MSE_list[[4]][[61]]\n", + "[1] 5.823382\n", + "\n", + "$MSE_list[[4]][[62]]\n", + "[1] 5.242385\n", + "\n", + "$MSE_list[[4]][[63]]\n", + "[1] 1.174185\n", + "\n", + "$MSE_list[[4]][[64]]\n", + "[1] 1.374647\n", + "\n", + "$MSE_list[[4]][[65]]\n", + "[1] 4.672964\n", + "\n", + "$MSE_list[[4]][[66]]\n", + "[1] 2.324121\n", + "\n", + "$MSE_list[[4]][[67]]\n", + "[1] 1.562015\n", + "\n", + "$MSE_list[[4]][[68]]\n", + "[1] 1.857143\n", + "\n", + "$MSE_list[[4]][[69]]\n", + "[1] 3.516361\n", + "\n", + "$MSE_list[[4]][[70]]\n", + "[1] 3.987811\n", + "\n", + "$MSE_list[[4]][[71]]\n", + "[1] 4.681834\n", + "\n", + "$MSE_list[[4]][[72]]\n", + "[1] 1.409169\n", + "\n", + "$MSE_list[[4]][[73]]\n", + "[1] 3.341626\n", + "\n", + "$MSE_list[[4]][[74]]\n", + "[1] 3.99511\n", + "\n", + "$MSE_list[[4]][[75]]\n", + "[1] 1.414098\n", + "\n", + "$MSE_list[[4]][[76]]\n", + "[1] 4.280903\n", + "\n", + "$MSE_list[[4]][[77]]\n", + "[1] 1.624405\n", + "\n", + "$MSE_list[[4]][[78]]\n", + "[1] 4.247541\n", + "\n", + "$MSE_list[[4]][[79]]\n", + "[1] 4.688662\n", + "\n", + "$MSE_list[[4]][[80]]\n", + "[1] 1.58587\n", + "\n", + "$MSE_list[[4]][[81]]\n", + "[1] 2.113761\n", + "\n", + "$MSE_list[[4]][[82]]\n", + "[1] 1.648451\n", + "\n", + "$MSE_list[[4]][[83]]\n", + "[1] 3.994898\n", + "\n", + "$MSE_list[[4]][[84]]\n", + "[1] 7.077997\n", + "\n", + "$MSE_list[[4]][[85]]\n", + "[1] 5.590886\n", + "\n", + "$MSE_list[[4]][[86]]\n", + "[1] 5.725702\n", + "\n", + "$MSE_list[[4]][[87]]\n", + "[1] 4.50054\n", + "\n", + "$MSE_list[[4]][[88]]\n", + "[1] 8.513052\n", + "\n", + "$MSE_list[[4]][[89]]\n", + "[1] 9.551651\n", + "\n", + "$MSE_list[[4]][[90]]\n", + "[1] 2.484317\n", + "\n", + "$MSE_list[[4]][[91]]\n", + "[1] 1.244192\n", + "\n", + "$MSE_list[[4]][[92]]\n", + "[1] 1.945247\n", + "\n", + "$MSE_list[[4]][[93]]\n", + "[1] 1.379653\n", + "\n", + "$MSE_list[[4]][[94]]\n", + "[1] 1.423262\n", + "\n", + "$MSE_list[[4]][[95]]\n", + "[1] 2.875571\n", + "\n", + "$MSE_list[[4]][[96]]\n", + "[1] 0.6164709\n", + "\n", + "$MSE_list[[4]][[97]]\n", + "[1] 6.429802\n", + "\n", + "$MSE_list[[4]][[98]]\n", + "[1] 6.890471\n", + "\n", + "$MSE_list[[4]][[99]]\n", + "[1] 7.356675\n", + "\n", + "$MSE_list[[4]][[100]]\n", + "[1] 1.412615\n", + "\n", + "\n", + "$MSE_list[[5]]\n", + "$MSE_list[[5]][[1]]\n", + "[1] 3.542682\n", + "\n", + "$MSE_list[[5]][[2]]\n", + "[1] 2.669019\n", + "\n", + "$MSE_list[[5]][[3]]\n", + "[1] 5.232406\n", + "\n", + "$MSE_list[[5]][[4]]\n", + "[1] 4.397551\n", + "\n", + "$MSE_list[[5]][[5]]\n", + "[1] 5.739622\n", + "\n", + "$MSE_list[[5]][[6]]\n", + "[1] 2.004283\n", + "\n", + "$MSE_list[[5]][[7]]\n", + "[1] 5.822806\n", + "\n", + "$MSE_list[[5]][[8]]\n", + "[1] 1.094329\n", + "\n", + "$MSE_list[[5]][[9]]\n", + "[1] 1.933259\n", + "\n", + "$MSE_list[[5]][[10]]\n", + "[1] 3.442484\n", + "\n", + "$MSE_list[[5]][[11]]\n", + "[1] 1.183009\n", + "\n", + "$MSE_list[[5]][[12]]\n", + "[1] 7.676874\n", + "\n", + "$MSE_list[[5]][[13]]\n", + "[1] 1.629468\n", + "\n", + "$MSE_list[[5]][[14]]\n", + "[1] 5.021589\n", + "\n", + "$MSE_list[[5]][[15]]\n", + "[1] 5.824408\n", + "\n", + "$MSE_list[[5]][[16]]\n", + "[1] 6.536921\n", + "\n", + "$MSE_list[[5]][[17]]\n", + "[1] 7.178284\n", + "\n", + "$MSE_list[[5]][[18]]\n", + "[1] 9.207738\n", + "\n", + "$MSE_list[[5]][[19]]\n", + "[1] 5.603603\n", + "\n", + "$MSE_list[[5]][[20]]\n", + "[1] 4.465048\n", + "\n", + "$MSE_list[[5]][[21]]\n", + "[1] 3.801569\n", + "\n", + "$MSE_list[[5]][[22]]\n", + "[1] 3.116486\n", + "\n", + "$MSE_list[[5]][[23]]\n", + "[1] 6.220127\n", + "\n", + "$MSE_list[[5]][[24]]\n", + "[1] 6.271136\n", + "\n", + "$MSE_list[[5]][[25]]\n", + "[1] 5.960189\n", + "\n", + "$MSE_list[[5]][[26]]\n", + "[1] 3.388173\n", + "\n", + "$MSE_list[[5]][[27]]\n", + "[1] 3.523293\n", + "\n", + "$MSE_list[[5]][[28]]\n", + "[1] 4.077356\n", + "\n", + "$MSE_list[[5]][[29]]\n", + "[1] 2.131316\n", + "\n", + "$MSE_list[[5]][[30]]\n", + "[1] 1.529171\n", + "\n", + "$MSE_list[[5]][[31]]\n", + "[1] 3.251657\n", + "\n", + "$MSE_list[[5]][[32]]\n", + "[1] 1.94266\n", + "\n", + "$MSE_list[[5]][[33]]\n", + "[1] 6.192995\n", + "\n", + "$MSE_list[[5]][[34]]\n", + "[1] 0.8445488\n", + "\n", + "$MSE_list[[5]][[35]]\n", + "[1] 1.200739\n", + "\n", + "$MSE_list[[5]][[36]]\n", + "[1] 1.493725\n", + "\n", + "$MSE_list[[5]][[37]]\n", + "[1] 5.03794\n", + "\n", + "$MSE_list[[5]][[38]]\n", + "[1] 7.577509\n", + "\n", + "$MSE_list[[5]][[39]]\n", + "[1] 0.670511\n", + "\n", + "$MSE_list[[5]][[40]]\n", + "[1] 4.670814\n", + "\n", + "$MSE_list[[5]][[41]]\n", + "[1] 4.851645\n", + "\n", + "$MSE_list[[5]][[42]]\n", + "[1] 7.070039\n", + "\n", + "$MSE_list[[5]][[43]]\n", + "[1] 3.529133\n", + "\n", + "$MSE_list[[5]][[44]]\n", + "[1] 4.831087\n", + "\n", + "$MSE_list[[5]][[45]]\n", + "[1] 1.215691\n", + "\n", + "$MSE_list[[5]][[46]]\n", + "[1] 2.94765\n", + "\n", + "$MSE_list[[5]][[47]]\n", + "[1] 2.822752\n", + "\n", + "$MSE_list[[5]][[48]]\n", + "[1] 4.788239\n", + "\n", + "$MSE_list[[5]][[49]]\n", + "[1] 7.493196\n", + "\n", + "$MSE_list[[5]][[50]]\n", + "[1] 4.07602\n", + "\n", + "$MSE_list[[5]][[51]]\n", + "[1] 2.217825\n", + "\n", + "$MSE_list[[5]][[52]]\n", + "[1] 1.452691\n", + "\n", + "$MSE_list[[5]][[53]]\n", + "[1] 5.87985\n", + "\n", + "$MSE_list[[5]][[54]]\n", + "[1] 1.577097\n", + "\n", + "$MSE_list[[5]][[55]]\n", + "[1] 2.267891\n", + "\n", + "$MSE_list[[5]][[56]]\n", + "[1] 3.631676\n", + "\n", + "$MSE_list[[5]][[57]]\n", + "[1] 1.545706\n", + "\n", + "$MSE_list[[5]][[58]]\n", + "[1] 0.9841631\n", + "\n", + "$MSE_list[[5]][[59]]\n", + "[1] 5.131439\n", + "\n", + "$MSE_list[[5]][[60]]\n", + "[1] 3.696129\n", + "\n", + "$MSE_list[[5]][[61]]\n", + "[1] 5.831607\n", + "\n", + "$MSE_list[[5]][[62]]\n", + "[1] 5.869181\n", + "\n", + "$MSE_list[[5]][[63]]\n", + "[1] 6.047484\n", + "\n", + "$MSE_list[[5]][[64]]\n", + "[1] 0.8448732\n", + "\n", + "$MSE_list[[5]][[65]]\n", + "[1] 3.292439\n", + "\n", + "$MSE_list[[5]][[66]]\n", + "[1] 6.029605\n", + "\n", + "$MSE_list[[5]][[67]]\n", + "[1] 3.63567\n", + "\n", + "$MSE_list[[5]][[68]]\n", + "[1] 4.698637\n", + "\n", + "$MSE_list[[5]][[69]]\n", + "[1] 3.9095\n", + "\n", + "$MSE_list[[5]][[70]]\n", + "[1] 2.793836\n", + "\n", + "$MSE_list[[5]][[71]]\n", + "[1] 4.416206\n", + "\n", + "$MSE_list[[5]][[72]]\n", + "[1] 6.613462\n", + "\n", + "$MSE_list[[5]][[73]]\n", + "[1] 2.577187\n", + "\n", + "$MSE_list[[5]][[74]]\n", + "[1] 2.039841\n", + "\n", + "$MSE_list[[5]][[75]]\n", + "[1] 1.918554\n", + "\n", + "$MSE_list[[5]][[76]]\n", + "[1] 2.289616\n", + "\n", + "$MSE_list[[5]][[77]]\n", + "[1] 6.411128\n", + "\n", + "$MSE_list[[5]][[78]]\n", + "[1] 5.639381\n", + "\n", + "$MSE_list[[5]][[79]]\n", + "[1] 3.416674\n", + "\n", + "$MSE_list[[5]][[80]]\n", + "[1] 5.959286\n", + "\n", + "$MSE_list[[5]][[81]]\n", + "[1] 4.398912\n", + "\n", + "$MSE_list[[5]][[82]]\n", + "[1] 2.18379\n", + "\n", + "$MSE_list[[5]][[83]]\n", + "[1] 6.521172\n", + "\n", + "$MSE_list[[5]][[84]]\n", + "[1] 7.583557\n", + "\n", + "$MSE_list[[5]][[85]]\n", + "[1] 1.218774\n", + "\n", + "$MSE_list[[5]][[86]]\n", + "[1] 5.568331\n", + "\n", + "$MSE_list[[5]][[87]]\n", + "[1] 5.813614\n", + "\n", + "$MSE_list[[5]][[88]]\n", + "[1] 7.21373\n", + "\n", + "$MSE_list[[5]][[89]]\n", + "[1] 4.179139\n", + "\n", + "$MSE_list[[5]][[90]]\n", + "[1] 8.560896\n", + "\n", + "$MSE_list[[5]][[91]]\n", + "[1] 4.699319\n", + "\n", + "$MSE_list[[5]][[92]]\n", + "[1] 2.650903\n", + "\n", + "$MSE_list[[5]][[93]]\n", + "[1] 2.083355\n", + "\n", + "$MSE_list[[5]][[94]]\n", + "[1] 1.125414\n", + "\n", + "$MSE_list[[5]][[95]]\n", + "[1] 4.725279\n", + "\n", + "$MSE_list[[5]][[96]]\n", + "[1] 8.599375\n", + "\n", + "$MSE_list[[5]][[97]]\n", + "[1] 0.8377247\n", + "\n", + "$MSE_list[[5]][[98]]\n", + "[1] 5.451929\n", + "\n", + "$MSE_list[[5]][[99]]\n", + "[1] 3.589691\n", + "\n", + "$MSE_list[[5]][[100]]\n", + "[1] 4.438478\n", + "\n", + "\n", + "$MSE_list[[6]]\n", + "$MSE_list[[6]][[1]]\n", + "[1] 5.592386\n", + "\n", + "$MSE_list[[6]][[2]]\n", + "[1] 4.957623\n", + "\n", + "$MSE_list[[6]][[3]]\n", + "[1] 5.396511\n", + "\n", + "$MSE_list[[6]][[4]]\n", + "[1] 6.545401\n", + "\n", + "$MSE_list[[6]][[5]]\n", + "[1] 5.079645\n", + "\n", + "$MSE_list[[6]][[6]]\n", + "[1] 2.726349\n", + "\n", + "$MSE_list[[6]][[7]]\n", + "[1] 5.154719\n", + "\n", + "$MSE_list[[6]][[8]]\n", + "[1] 4.689224\n", + "\n", + "$MSE_list[[6]][[9]]\n", + "[1] 4.187185\n", + "\n", + "$MSE_list[[6]][[10]]\n", + "[1] 4.426577\n", + "\n", + "$MSE_list[[6]][[11]]\n", + "[1] 2.159967\n", + "\n", + "$MSE_list[[6]][[12]]\n", + "[1] 3.018577\n", + "\n", + "$MSE_list[[6]][[13]]\n", + "[1] 6.425495\n", + "\n", + "$MSE_list[[6]][[14]]\n", + "[1] 3.349791\n", + "\n", + "$MSE_list[[6]][[15]]\n", + "[1] 4.319307\n", + "\n", + "$MSE_list[[6]][[16]]\n", + "[1] 0.8740943\n", + "\n", + "$MSE_list[[6]][[17]]\n", + "[1] 4.224986\n", + "\n", + "$MSE_list[[6]][[18]]\n", + "[1] 1.583704\n", + "\n", + "$MSE_list[[6]][[19]]\n", + "[1] 3.541898\n", + "\n", + "$MSE_list[[6]][[20]]\n", + "[1] 6.342974\n", + "\n", + "$MSE_list[[6]][[21]]\n", + "[1] 5.361867\n", + "\n", + "$MSE_list[[6]][[22]]\n", + "[1] 3.534324\n", + "\n", + "$MSE_list[[6]][[23]]\n", + "[1] 2.05472\n", + "\n", + "$MSE_list[[6]][[24]]\n", + "[1] 5.028144\n", + "\n", + "$MSE_list[[6]][[25]]\n", + "[1] 4.726315\n", + "\n", + "$MSE_list[[6]][[26]]\n", + "[1] 3.539721\n", + "\n", + "$MSE_list[[6]][[27]]\n", + "[1] 3.839787\n", + "\n", + "$MSE_list[[6]][[28]]\n", + "[1] 1.46487\n", + "\n", + "$MSE_list[[6]][[29]]\n", + "[1] 6.043739\n", + "\n", + "$MSE_list[[6]][[30]]\n", + "[1] 6.353811\n", + "\n", + "$MSE_list[[6]][[31]]\n", + "[1] 5.368212\n", + "\n", + "$MSE_list[[6]][[32]]\n", + "[1] 3.593668\n", + "\n", + "$MSE_list[[6]][[33]]\n", + "[1] 6.903616\n", + "\n", + "$MSE_list[[6]][[34]]\n", + "[1] 7.393934\n", + "\n", + "$MSE_list[[6]][[35]]\n", + "[1] 6.815705\n", + "\n", + "$MSE_list[[6]][[36]]\n", + "[1] 2.565052\n", + "\n", + "$MSE_list[[6]][[37]]\n", + "[1] 2.114613\n", + "\n", + "$MSE_list[[6]][[38]]\n", + "[1] 4.210849\n", + "\n", + "$MSE_list[[6]][[39]]\n", + "[1] 6.509283\n", + "\n", + "$MSE_list[[6]][[40]]\n", + "[1] 2.446709\n", + "\n", + "$MSE_list[[6]][[41]]\n", + "[1] 4.533321\n", + "\n", + "$MSE_list[[6]][[42]]\n", + "[1] 4.748951\n", + "\n", + "$MSE_list[[6]][[43]]\n", + "[1] 4.747181\n", + "\n", + "$MSE_list[[6]][[44]]\n", + "[1] 8.435219\n", + "\n", + "$MSE_list[[6]][[45]]\n", + "[1] 3.347029\n", + "\n", + "$MSE_list[[6]][[46]]\n", + "[1] 2.52011\n", + "\n", + "$MSE_list[[6]][[47]]\n", + "[1] 3.983795\n", + "\n", + "$MSE_list[[6]][[48]]\n", + "[1] 6.448024\n", + "\n", + "$MSE_list[[6]][[49]]\n", + "[1] 2.349854\n", + "\n", + "$MSE_list[[6]][[50]]\n", + "[1] 5.310126\n", + "\n", + "$MSE_list[[6]][[51]]\n", + "[1] 2.991292\n", + "\n", + "$MSE_list[[6]][[52]]\n", + "[1] 3.577791\n", + "\n", + "$MSE_list[[6]][[53]]\n", + "[1] 4.480151\n", + "\n", + "$MSE_list[[6]][[54]]\n", + "[1] 2.539781\n", + "\n", + "$MSE_list[[6]][[55]]\n", + "[1] 3.886424\n", + "\n", + "$MSE_list[[6]][[56]]\n", + "[1] 5.36288\n", + "\n", + "$MSE_list[[6]][[57]]\n", + "[1] 3.13705\n", + "\n", + "$MSE_list[[6]][[58]]\n", + "[1] 6.872243\n", + "\n", + "$MSE_list[[6]][[59]]\n", + "[1] 5.558696\n", + "\n", + "$MSE_list[[6]][[60]]\n", + "[1] 6.728238\n", + "\n", + "$MSE_list[[6]][[61]]\n", + "[1] 10.13569\n", + "\n", + "$MSE_list[[6]][[62]]\n", + "[1] 5.406291\n", + "\n", + "$MSE_list[[6]][[63]]\n", + "[1] 4.536931\n", + "\n", + "$MSE_list[[6]][[64]]\n", + "[1] 4.966189\n", + "\n", + "$MSE_list[[6]][[65]]\n", + "[1] 5.701187\n", + "\n", + "$MSE_list[[6]][[66]]\n", + "[1] 8.174185\n", + "\n", + "$MSE_list[[6]][[67]]\n", + "[1] 3.212013\n", + "\n", + "$MSE_list[[6]][[68]]\n", + "[1] 2.984725\n", + "\n", + "$MSE_list[[6]][[69]]\n", + "[1] 3.874081\n", + "\n", + "$MSE_list[[6]][[70]]\n", + "[1] 3.973497\n", + "\n", + "$MSE_list[[6]][[71]]\n", + "[1] 5.846594\n", + "\n", + "$MSE_list[[6]][[72]]\n", + "[1] 7.552867\n", + "\n", + "$MSE_list[[6]][[73]]\n", + "[1] 6.515602\n", + "\n", + "$MSE_list[[6]][[74]]\n", + "[1] 5.535608\n", + "\n", + "$MSE_list[[6]][[75]]\n", + "[1] 2.156679\n", + "\n", + "$MSE_list[[6]][[76]]\n", + "[1] 3.689445\n", + "\n", + "$MSE_list[[6]][[77]]\n", + "[1] 6.703501\n", + "\n", + "$MSE_list[[6]][[78]]\n", + "[1] 3.517888\n", + "\n", + "$MSE_list[[6]][[79]]\n", + "[1] 3.354914\n", + "\n", + "$MSE_list[[6]][[80]]\n", + "[1] 6.090301\n", + "\n", + "$MSE_list[[6]][[81]]\n", + "[1] 3.94332\n", + "\n", + "$MSE_list[[6]][[82]]\n", + "[1] 7.282071\n", + "\n", + "$MSE_list[[6]][[83]]\n", + "[1] 5.640415\n", + "\n", + "$MSE_list[[6]][[84]]\n", + "[1] 2.196265\n", + "\n", + "$MSE_list[[6]][[85]]\n", + "[1] 4.404715\n", + "\n", + "$MSE_list[[6]][[86]]\n", + "[1] 4.412669\n", + "\n", + "$MSE_list[[6]][[87]]\n", + "[1] 3.370477\n", + "\n", + "$MSE_list[[6]][[88]]\n", + "[1] 2.0942\n", + "\n", + "$MSE_list[[6]][[89]]\n", + "[1] 7.807809\n", + "\n", + "$MSE_list[[6]][[90]]\n", + "[1] 2.802875\n", + "\n", + "$MSE_list[[6]][[91]]\n", + "[1] 5.493781\n", + "\n", + "$MSE_list[[6]][[92]]\n", + "[1] 8.808491\n", + "\n", + "$MSE_list[[6]][[93]]\n", + "[1] 4.801569\n", + "\n", + "$MSE_list[[6]][[94]]\n", + "[1] 1.790086\n", + "\n", + "$MSE_list[[6]][[95]]\n", + "[1] 3.952337\n", + "\n", + "$MSE_list[[6]][[96]]\n", + "[1] 3.561016\n", + "\n", + "$MSE_list[[6]][[97]]\n", + "[1] 6.166143\n", + "\n", + "$MSE_list[[6]][[98]]\n", + "[1] 7.556439\n", + "\n", + "$MSE_list[[6]][[99]]\n", + "[1] 8.199913\n", + "\n", + "$MSE_list[[6]][[100]]\n", + "[1] 4.277149\n", + "\n", + "\n", + "$MSE_list[[7]]\n", + "$MSE_list[[7]][[1]]\n", + "[1] 7.440958\n", + "\n", + "$MSE_list[[7]][[2]]\n", + "[1] 4.028199\n", + "\n", + "$MSE_list[[7]][[3]]\n", + "[1] 7.342729\n", + "\n", + "$MSE_list[[7]][[4]]\n", + "[1] 2.869707\n", + "\n", + "$MSE_list[[7]][[5]]\n", + "[1] 2.330148\n", + "\n", + "$MSE_list[[7]][[6]]\n", + "[1] 4.332681\n", + "\n", + "$MSE_list[[7]][[7]]\n", + "[1] 4.177995\n", + "\n", + "$MSE_list[[7]][[8]]\n", + "[1] 2.956052\n", + "\n", + "$MSE_list[[7]][[9]]\n", + "[1] 2.452828\n", + "\n", + "$MSE_list[[7]][[10]]\n", + "[1] 2.385294\n", + "\n", + "$MSE_list[[7]][[11]]\n", + "[1] 3.129581\n", + "\n", + "$MSE_list[[7]][[12]]\n", + "[1] 5.070661\n", + "\n", + "$MSE_list[[7]][[13]]\n", + "[1] 3.621283\n", + "\n", + "$MSE_list[[7]][[14]]\n", + "[1] 5.70146\n", + "\n", + "$MSE_list[[7]][[15]]\n", + "[1] 7.558488\n", + "\n", + "$MSE_list[[7]][[16]]\n", + "[1] 7.811908\n", + "\n", + "$MSE_list[[7]][[17]]\n", + "[1] 4.059518\n", + "\n", + "$MSE_list[[7]][[18]]\n", + "[1] 2.670805\n", + "\n", + "$MSE_list[[7]][[19]]\n", + "[1] 6.733259\n", + "\n", + "$MSE_list[[7]][[20]]\n", + "[1] 3.415688\n", + "\n", + "$MSE_list[[7]][[21]]\n", + "[1] 6.97829\n", + "\n", + "$MSE_list[[7]][[22]]\n", + "[1] 5.858494\n", + "\n", + "$MSE_list[[7]][[23]]\n", + "[1] 6.51952\n", + "\n", + "$MSE_list[[7]][[24]]\n", + "[1] 1.248501\n", + "\n", + "$MSE_list[[7]][[25]]\n", + "[1] 4.849627\n", + "\n", + "$MSE_list[[7]][[26]]\n", + "[1] 3.700749\n", + "\n", + "$MSE_list[[7]][[27]]\n", + "[1] 2.6969\n", + "\n", + "$MSE_list[[7]][[28]]\n", + "[1] 3.176476\n", + "\n", + "$MSE_list[[7]][[29]]\n", + "[1] 2.820476\n", + "\n", + "$MSE_list[[7]][[30]]\n", + "[1] 2.628262\n", + "\n", + "$MSE_list[[7]][[31]]\n", + "[1] 0.5957174\n", + "\n", + "$MSE_list[[7]][[32]]\n", + "[1] 1.567304\n", + "\n", + "$MSE_list[[7]][[33]]\n", + "[1] 5.925554\n", + "\n", + "$MSE_list[[7]][[34]]\n", + "[1] 6.964174\n", + "\n", + "$MSE_list[[7]][[35]]\n", + "[1] 5.102345\n", + "\n", + "$MSE_list[[7]][[36]]\n", + "[1] 4.452943\n", + "\n", + "$MSE_list[[7]][[37]]\n", + "[1] 3.19585\n", + "\n", + "$MSE_list[[7]][[38]]\n", + "[1] 1.529987\n", + "\n", + "$MSE_list[[7]][[39]]\n", + "[1] 3.23146\n", + "\n", + "$MSE_list[[7]][[40]]\n", + "[1] 2.021912\n", + "\n", + "$MSE_list[[7]][[41]]\n", + "[1] 2.514293\n", + "\n", + "$MSE_list[[7]][[42]]\n", + "[1] 0.2930778\n", + "\n", + "$MSE_list[[7]][[43]]\n", + "[1] 5.313984\n", + "\n", + "$MSE_list[[7]][[44]]\n", + "[1] 2.932659\n", + "\n", + "$MSE_list[[7]][[45]]\n", + "[1] 2.551438\n", + "\n", + "$MSE_list[[7]][[46]]\n", + "[1] 4.386134\n", + "\n", + "$MSE_list[[7]][[47]]\n", + "[1] 3.893979\n", + "\n", + "$MSE_list[[7]][[48]]\n", + "[1] 1.304102\n", + "\n", + "$MSE_list[[7]][[49]]\n", + "[1] 3.880578\n", + "\n", + "$MSE_list[[7]][[50]]\n", + "[1] 5.113567\n", + "\n", + "$MSE_list[[7]][[51]]\n", + "[1] 4.219028\n", + "\n", + "$MSE_list[[7]][[52]]\n", + "[1] 3.957044\n", + "\n", + "$MSE_list[[7]][[53]]\n", + "[1] 4.240089\n", + "\n", + "$MSE_list[[7]][[54]]\n", + "[1] 5.415441\n", + "\n", + "$MSE_list[[7]][[55]]\n", + "[1] 2.213894\n", + "\n", + "$MSE_list[[7]][[56]]\n", + "[1] 4.186687\n", + "\n", + "$MSE_list[[7]][[57]]\n", + "[1] 3.87631\n", + "\n", + "$MSE_list[[7]][[58]]\n", + "[1] 1.251902\n", + "\n", + "$MSE_list[[7]][[59]]\n", + "[1] 4.015695\n", + "\n", + "$MSE_list[[7]][[60]]\n", + "[1] 5.386047\n", + "\n", + "$MSE_list[[7]][[61]]\n", + "[1] 5.687798\n", + "\n", + "$MSE_list[[7]][[62]]\n", + "[1] 3.901983\n", + "\n", + "$MSE_list[[7]][[63]]\n", + "[1] 3.834815\n", + "\n", + "$MSE_list[[7]][[64]]\n", + "[1] 5.632325\n", + "\n", + "$MSE_list[[7]][[65]]\n", + "[1] 3.803339\n", + "\n", + "$MSE_list[[7]][[66]]\n", + "[1] 2.302759\n", + "\n", + "$MSE_list[[7]][[67]]\n", + "[1] 1.471079\n", + "\n", + "$MSE_list[[7]][[68]]\n", + "[1] 4.78533\n", + "\n", + "$MSE_list[[7]][[69]]\n", + "[1] 2.416672\n", + "\n", + "$MSE_list[[7]][[70]]\n", + "[1] 2.333257\n", + "\n", + "$MSE_list[[7]][[71]]\n", + "[1] 8.011235\n", + "\n", + "$MSE_list[[7]][[72]]\n", + "[1] 4.536797\n", + "\n", + "$MSE_list[[7]][[73]]\n", + "[1] 2.049755\n", + "\n", + "$MSE_list[[7]][[74]]\n", + "[1] 4.235746\n", + "\n", + "$MSE_list[[7]][[75]]\n", + "[1] 5.679353\n", + "\n", + "$MSE_list[[7]][[76]]\n", + "[1] 5.197679\n", + "\n", + "$MSE_list[[7]][[77]]\n", + "[1] 5.050408\n", + "\n", + "$MSE_list[[7]][[78]]\n", + "[1] 5.456583\n", + "\n", + "$MSE_list[[7]][[79]]\n", + "[1] 2.600017\n", + "\n", + "$MSE_list[[7]][[80]]\n", + "[1] 2.723312\n", + "\n", + "$MSE_list[[7]][[81]]\n", + "[1] 0.8215\n", + "\n", + "$MSE_list[[7]][[82]]\n", + "[1] 5.803803\n", + "\n", + "$MSE_list[[7]][[83]]\n", + "[1] 2.390721\n", + "\n", + "$MSE_list[[7]][[84]]\n", + "[1] 3.931208\n", + "\n", + "$MSE_list[[7]][[85]]\n", + "[1] 8.33634\n", + "\n", + "$MSE_list[[7]][[86]]\n", + "[1] 3.617069\n", + "\n", + "$MSE_list[[7]][[87]]\n", + "[1] 4.859223\n", + "\n", + "$MSE_list[[7]][[88]]\n", + "[1] 2.613851\n", + "\n", + "$MSE_list[[7]][[89]]\n", + "[1] 2.346778\n", + "\n", + "$MSE_list[[7]][[90]]\n", + "[1] 3.842176\n", + "\n", + "$MSE_list[[7]][[91]]\n", + "[1] 1.175111\n", + "\n", + "$MSE_list[[7]][[92]]\n", + "[1] 7.610911\n", + "\n", + "$MSE_list[[7]][[93]]\n", + "[1] 2.19852\n", + "\n", + "$MSE_list[[7]][[94]]\n", + "[1] 7.121432\n", + "\n", + "$MSE_list[[7]][[95]]\n", + "[1] 5.702973\n", + "\n", + "$MSE_list[[7]][[96]]\n", + "[1] 6.121627\n", + "\n", + "$MSE_list[[7]][[97]]\n", + "[1] 1.784689\n", + "\n", + "$MSE_list[[7]][[98]]\n", + "[1] 2.762259\n", + "\n", + "$MSE_list[[7]][[99]]\n", + "[1] 6.478209\n", + "\n", + "$MSE_list[[7]][[100]]\n", + "[1] 3.464799\n", + "\n", + "\n", + "$MSE_list[[8]]\n", + "$MSE_list[[8]][[1]]\n", + "[1] 0.9307389\n", + "\n", + "$MSE_list[[8]][[2]]\n", + "[1] 3.243398\n", + "\n", + "$MSE_list[[8]][[3]]\n", + "[1] 7.242205\n", + "\n", + "$MSE_list[[8]][[4]]\n", + "[1] 1.847808\n", + "\n", + "$MSE_list[[8]][[5]]\n", + "[1] 1.344474\n", + "\n", + "$MSE_list[[8]][[6]]\n", + "[1] 0.8859327\n", + "\n", + "$MSE_list[[8]][[7]]\n", + "[1] 2.336355\n", + "\n", + "$MSE_list[[8]][[8]]\n", + "[1] 6.947698\n", + "\n", + "$MSE_list[[8]][[9]]\n", + "[1] 1.766075\n", + "\n", + "$MSE_list[[8]][[10]]\n", + "[1] 1.193912\n", + "\n", + "$MSE_list[[8]][[11]]\n", + "[1] 7.913102\n", + "\n", + "$MSE_list[[8]][[12]]\n", + "[1] 2.445812\n", + "\n", + "$MSE_list[[8]][[13]]\n", + "[1] 6.750776\n", + "\n", + "$MSE_list[[8]][[14]]\n", + "[1] 5.154378\n", + "\n", + "$MSE_list[[8]][[15]]\n", + "[1] 5.4848\n", + "\n", + "$MSE_list[[8]][[16]]\n", + "[1] 3.052543\n", + "\n", + "$MSE_list[[8]][[17]]\n", + "[1] 6.619782\n", + "\n", + "$MSE_list[[8]][[18]]\n", + "[1] 1.551759\n", + "\n", + "$MSE_list[[8]][[19]]\n", + "[1] 2.256237\n", + "\n", + "$MSE_list[[8]][[20]]\n", + "[1] 1.662792\n", + "\n", + "$MSE_list[[8]][[21]]\n", + "[1] 2.797358\n", + "\n", + "$MSE_list[[8]][[22]]\n", + "[1] 3.289514\n", + "\n", + "$MSE_list[[8]][[23]]\n", + "[1] 0.501589\n", + "\n", + "$MSE_list[[8]][[24]]\n", + "[1] 4.212748\n", + "\n", + "$MSE_list[[8]][[25]]\n", + "[1] 6.530743\n", + "\n", + "$MSE_list[[8]][[26]]\n", + "[1] 0.8282373\n", + "\n", + "$MSE_list[[8]][[27]]\n", + "[1] 1.474345\n", + "\n", + "$MSE_list[[8]][[28]]\n", + "[1] 4.068461\n", + "\n", + "$MSE_list[[8]][[29]]\n", + "[1] 3.360354\n", + "\n", + "$MSE_list[[8]][[30]]\n", + "[1] 4.923902\n", + "\n", + "$MSE_list[[8]][[31]]\n", + "[1] 2.182116\n", + "\n", + "$MSE_list[[8]][[32]]\n", + "[1] 5.367795\n", + "\n", + "$MSE_list[[8]][[33]]\n", + "[1] 5.027344\n", + "\n", + "$MSE_list[[8]][[34]]\n", + "[1] 3.476184\n", + "\n", + "$MSE_list[[8]][[35]]\n", + "[1] 2.914301\n", + "\n", + "$MSE_list[[8]][[36]]\n", + "[1] 0.9944381\n", + "\n", + "$MSE_list[[8]][[37]]\n", + "[1] 0.4764275\n", + "\n", + "$MSE_list[[8]][[38]]\n", + "[1] 5.694264\n", + "\n", + "$MSE_list[[8]][[39]]\n", + "[1] 3.976512\n", + "\n", + "$MSE_list[[8]][[40]]\n", + "[1] 5.685231\n", + "\n", + "$MSE_list[[8]][[41]]\n", + "[1] 3.196237\n", + "\n", + "$MSE_list[[8]][[42]]\n", + "[1] 2.887138\n", + "\n", + "$MSE_list[[8]][[43]]\n", + "[1] 4.0815\n", + "\n", + "$MSE_list[[8]][[44]]\n", + "[1] 3.770345\n", + "\n", + "$MSE_list[[8]][[45]]\n", + "[1] 1.721667\n", + "\n", + "$MSE_list[[8]][[46]]\n", + "[1] 3.229238\n", + "\n", + "$MSE_list[[8]][[47]]\n", + "[1] 6.747863\n", + "\n", + "$MSE_list[[8]][[48]]\n", + "[1] 6.589156\n", + "\n", + "$MSE_list[[8]][[49]]\n", + "[1] 1.655758\n", + "\n", + "$MSE_list[[8]][[50]]\n", + "[1] 1.18903\n", + "\n", + "$MSE_list[[8]][[51]]\n", + "[1] 4.552652\n", + "\n", + "$MSE_list[[8]][[52]]\n", + "[1] 1.756871\n", + "\n", + "$MSE_list[[8]][[53]]\n", + "[1] 4.792315\n", + "\n", + "$MSE_list[[8]][[54]]\n", + "[1] 2.265082\n", + "\n", + "$MSE_list[[8]][[55]]\n", + "[1] 3.188692\n", + "\n", + "$MSE_list[[8]][[56]]\n", + "[1] 4.085921\n", + "\n", + "$MSE_list[[8]][[57]]\n", + "[1] 3.45766\n", + "\n", + "$MSE_list[[8]][[58]]\n", + "[1] 1.456096\n", + "\n", + "$MSE_list[[8]][[59]]\n", + "[1] 5.070339\n", + "\n", + "$MSE_list[[8]][[60]]\n", + "[1] 3.097764\n", + "\n", + "$MSE_list[[8]][[61]]\n", + "[1] 1.659246\n", + "\n", + "$MSE_list[[8]][[62]]\n", + "[1] 3.559627\n", + "\n", + "$MSE_list[[8]][[63]]\n", + "[1] 1.589863\n", + "\n", + "$MSE_list[[8]][[64]]\n", + "[1] 6.20168\n", + "\n", + "$MSE_list[[8]][[65]]\n", + "[1] 5.71236\n", + "\n", + "$MSE_list[[8]][[66]]\n", + "[1] 6.638996\n", + "\n", + "$MSE_list[[8]][[67]]\n", + "[1] 5.728591\n", + "\n", + "$MSE_list[[8]][[68]]\n", + "[1] 3.265328\n", + "\n", + "$MSE_list[[8]][[69]]\n", + "[1] 2.869912\n", + "\n", + "$MSE_list[[8]][[70]]\n", + "[1] 4.333409\n", + "\n", + "$MSE_list[[8]][[71]]\n", + "[1] 1.093612\n", + "\n", + "$MSE_list[[8]][[72]]\n", + "[1] 4.271073\n", + "\n", + "$MSE_list[[8]][[73]]\n", + "[1] 7.186277\n", + "\n", + "$MSE_list[[8]][[74]]\n", + "[1] 6.771272\n", + "\n", + "$MSE_list[[8]][[75]]\n", + "[1] 9.24238\n", + "\n", + "$MSE_list[[8]][[76]]\n", + "[1] 6.319084\n", + "\n", + "$MSE_list[[8]][[77]]\n", + "[1] 4.580896\n", + "\n", + "$MSE_list[[8]][[78]]\n", + "[1] 5.452378\n", + "\n", + "$MSE_list[[8]][[79]]\n", + "[1] 2.120103\n", + "\n", + "$MSE_list[[8]][[80]]\n", + "[1] 6.304246\n", + "\n", + "$MSE_list[[8]][[81]]\n", + "[1] 1.238344\n", + "\n", + "$MSE_list[[8]][[82]]\n", + "[1] 2.377617\n", + "\n", + "$MSE_list[[8]][[83]]\n", + "[1] 4.934927\n", + "\n", + "$MSE_list[[8]][[84]]\n", + "[1] 6.647922\n", + "\n", + "$MSE_list[[8]][[85]]\n", + "[1] 5.819776\n", + "\n", + "$MSE_list[[8]][[86]]\n", + "[1] 5.129519\n", + "\n", + "$MSE_list[[8]][[87]]\n", + "[1] 3.041235\n", + "\n", + "$MSE_list[[8]][[88]]\n", + "[1] 2.129527\n", + "\n", + "$MSE_list[[8]][[89]]\n", + "[1] 3.984554\n", + "\n", + "$MSE_list[[8]][[90]]\n", + "[1] 0.9398995\n", + "\n", + "$MSE_list[[8]][[91]]\n", + "[1] 6.782734\n", + "\n", + "$MSE_list[[8]][[92]]\n", + "[1] 6.190599\n", + "\n", + "$MSE_list[[8]][[93]]\n", + "[1] 7.157786\n", + "\n", + "$MSE_list[[8]][[94]]\n", + "[1] 9.519669\n", + "\n", + "$MSE_list[[8]][[95]]\n", + "[1] 4.378446\n", + "\n", + "$MSE_list[[8]][[96]]\n", + "[1] 6.129463\n", + "\n", + "$MSE_list[[8]][[97]]\n", + "[1] 4.537743\n", + "\n", + "$MSE_list[[8]][[98]]\n", + "[1] 5.657051\n", + "\n", + "$MSE_list[[8]][[99]]\n", + "[1] 0.5246054\n", + "\n", + "$MSE_list[[8]][[100]]\n", + "[1] 6.670521\n", + "\n", + "\n", + "$MSE_list[[9]]\n", + "$MSE_list[[9]][[1]]\n", + "[1] 1.369356\n", + "\n", + "$MSE_list[[9]][[2]]\n", + "[1] 5.81257\n", + "\n", + "$MSE_list[[9]][[3]]\n", + "[1] 1.559021\n", + "\n", + "$MSE_list[[9]][[4]]\n", + "[1] 2.255183\n", + "\n", + "$MSE_list[[9]][[5]]\n", + "[1] 1.927162\n", + "\n", + "$MSE_list[[9]][[6]]\n", + "[1] 0.6941204\n", + "\n", + "$MSE_list[[9]][[7]]\n", + "[1] 2.522249\n", + "\n", + "$MSE_list[[9]][[8]]\n", + "[1] 2.475457\n", + "\n", + "$MSE_list[[9]][[9]]\n", + "[1] 2.41679\n", + "\n", + "$MSE_list[[9]][[10]]\n", + "[1] 1.992429\n", + "\n", + "$MSE_list[[9]][[11]]\n", + "[1] 1.143785\n", + "\n", + "$MSE_list[[9]][[12]]\n", + "[1] 1.695687\n", + "\n", + "$MSE_list[[9]][[13]]\n", + "[1] 1.187835\n", + "\n", + "$MSE_list[[9]][[14]]\n", + "[1] 1.333876\n", + "\n", + "$MSE_list[[9]][[15]]\n", + "[1] 5.387787\n", + "\n", + "$MSE_list[[9]][[16]]\n", + "[1] 1.027461\n", + "\n", + "$MSE_list[[9]][[17]]\n", + "[1] 0.3584494\n", + "\n", + "$MSE_list[[9]][[18]]\n", + "[1] 1.159533\n", + "\n", + "$MSE_list[[9]][[19]]\n", + "[1] 1.159736\n", + "\n", + "$MSE_list[[9]][[20]]\n", + "[1] 5.183306\n", + "\n", + "$MSE_list[[9]][[21]]\n", + "[1] 1.992354\n", + "\n", + "$MSE_list[[9]][[22]]\n", + "[1] 6.389118\n", + "\n", + "$MSE_list[[9]][[23]]\n", + "[1] 2.090223\n", + "\n", + "$MSE_list[[9]][[24]]\n", + "[1] 1.098358\n", + "\n", + "$MSE_list[[9]][[25]]\n", + "[1] 3.278696\n", + "\n", + "$MSE_list[[9]][[26]]\n", + "[1] 5.976203\n", + "\n", + "$MSE_list[[9]][[27]]\n", + "[1] 1.756952\n", + "\n", + "$MSE_list[[9]][[28]]\n", + "[1] 1.51954\n", + "\n", + "$MSE_list[[9]][[29]]\n", + "[1] 1.114161\n", + "\n", + "$MSE_list[[9]][[30]]\n", + "[1] 4.619384\n", + "\n", + "$MSE_list[[9]][[31]]\n", + "[1] 5.037747\n", + "\n", + "$MSE_list[[9]][[32]]\n", + "[1] 6.428723\n", + "\n", + "$MSE_list[[9]][[33]]\n", + "[1] 1.427668\n", + "\n", + "$MSE_list[[9]][[34]]\n", + "[1] 1.27487\n", + "\n", + "$MSE_list[[9]][[35]]\n", + "[1] 1.69529\n", + "\n", + "$MSE_list[[9]][[36]]\n", + "[1] 4.719857\n", + "\n", + "$MSE_list[[9]][[37]]\n", + "[1] 2.256998\n", + "\n", + "$MSE_list[[9]][[38]]\n", + "[1] 1.405045\n", + "\n", + "$MSE_list[[9]][[39]]\n", + "[1] 2.318913\n", + "\n", + "$MSE_list[[9]][[40]]\n", + "[1] 1.732915\n", + "\n", + "$MSE_list[[9]][[41]]\n", + "[1] 3.9395\n", + "\n", + "$MSE_list[[9]][[42]]\n", + "[1] 0.8738259\n", + "\n", + "$MSE_list[[9]][[43]]\n", + "[1] 2.943233\n", + "\n", + "$MSE_list[[9]][[44]]\n", + "[1] 1.100924\n", + "\n", + "$MSE_list[[9]][[45]]\n", + "[1] 1.918085\n", + "\n", + "$MSE_list[[9]][[46]]\n", + "[1] 1.620759\n", + "\n", + "$MSE_list[[9]][[47]]\n", + "[1] 1.61622\n", + "\n", + "$MSE_list[[9]][[48]]\n", + "[1] 5.819442\n", + "\n", + "$MSE_list[[9]][[49]]\n", + "[1] 1.031926\n", + "\n", + "$MSE_list[[9]][[50]]\n", + "[1] 1.627639\n", + "\n", + "$MSE_list[[9]][[51]]\n", + "[1] 2.305769\n", + "\n", + "$MSE_list[[9]][[52]]\n", + "[1] 1.472878\n", + "\n", + "$MSE_list[[9]][[53]]\n", + "[1] 1.6581\n", + "\n", + "$MSE_list[[9]][[54]]\n", + "[1] 2.491204\n", + "\n", + "$MSE_list[[9]][[55]]\n", + "[1] 2.01153\n", + "\n", + "$MSE_list[[9]][[56]]\n", + "[1] 2.369328\n", + "\n", + "$MSE_list[[9]][[57]]\n", + "[1] 1.081829\n", + "\n", + "$MSE_list[[9]][[58]]\n", + "[1] 0.5646752\n", + "\n", + "$MSE_list[[9]][[59]]\n", + "[1] 1.777322\n", + "\n", + "$MSE_list[[9]][[60]]\n", + "[1] 6.946711\n", + "\n", + "$MSE_list[[9]][[61]]\n", + "[1] 1.394604\n", + "\n", + "$MSE_list[[9]][[62]]\n", + "[1] 2.740559\n", + "\n", + "$MSE_list[[9]][[63]]\n", + "[1] 2.202216\n", + "\n", + "$MSE_list[[9]][[64]]\n", + "[1] 1.200568\n", + "\n", + "$MSE_list[[9]][[65]]\n", + "[1] 2.116098\n", + "\n", + "$MSE_list[[9]][[66]]\n", + "[1] 4.431719\n", + "\n", + "$MSE_list[[9]][[67]]\n", + "[1] 0.9103312\n", + "\n", + "$MSE_list[[9]][[68]]\n", + "[1] 0.8059251\n", + "\n", + "$MSE_list[[9]][[69]]\n", + "[1] 1.863043\n", + "\n", + "$MSE_list[[9]][[70]]\n", + "[1] 1.481856\n", + "\n", + "$MSE_list[[9]][[71]]\n", + "[1] 2.0635\n", + "\n", + "$MSE_list[[9]][[72]]\n", + "[1] 4.339151\n", + "\n", + "$MSE_list[[9]][[73]]\n", + "[1] 2.104637\n", + "\n", + "$MSE_list[[9]][[74]]\n", + "[1] 2.692814\n", + "\n", + "$MSE_list[[9]][[75]]\n", + "[1] 2.080058\n", + "\n", + "$MSE_list[[9]][[76]]\n", + "[1] 2.238376\n", + "\n", + "$MSE_list[[9]][[77]]\n", + "[1] 2.439877\n", + "\n", + "$MSE_list[[9]][[78]]\n", + "[1] 1.949325\n", + "\n", + "$MSE_list[[9]][[79]]\n", + "[1] 1.745018\n", + "\n", + "$MSE_list[[9]][[80]]\n", + "[1] 1.636347\n", + "\n", + "$MSE_list[[9]][[81]]\n", + "[1] 2.073061\n", + "\n", + "$MSE_list[[9]][[82]]\n", + "[1] 2.402197\n", + "\n", + "$MSE_list[[9]][[83]]\n", + "[1] 4.140816\n", + "\n", + "$MSE_list[[9]][[84]]\n", + "[1] 1.293924\n", + "\n", + "$MSE_list[[9]][[85]]\n", + "[1] 1.313106\n", + "\n", + "$MSE_list[[9]][[86]]\n", + "[1] 0.6844513\n", + "\n", + "$MSE_list[[9]][[87]]\n", + "[1] 3.929268\n", + "\n", + "$MSE_list[[9]][[88]]\n", + "[1] 1.682736\n", + "\n", + "$MSE_list[[9]][[89]]\n", + "[1] 1.235723\n", + "\n", + "$MSE_list[[9]][[90]]\n", + "[1] 2.79511\n", + "\n", + "$MSE_list[[9]][[91]]\n", + "[1] 1.097077\n", + "\n", + "$MSE_list[[9]][[92]]\n", + "[1] 4.584175\n", + "\n", + "$MSE_list[[9]][[93]]\n", + "[1] 1.725642\n", + "\n", + "$MSE_list[[9]][[94]]\n", + "[1] 1.431663\n", + "\n", + "$MSE_list[[9]][[95]]\n", + "[1] 2.414101\n", + "\n", + "$MSE_list[[9]][[96]]\n", + "[1] 1.20023\n", + "\n", + "$MSE_list[[9]][[97]]\n", + "[1] 1.692036\n", + "\n", + "$MSE_list[[9]][[98]]\n", + "[1] 0.9066491\n", + "\n", + "$MSE_list[[9]][[99]]\n", + "[1] 1.751226\n", + "\n", + "$MSE_list[[9]][[100]]\n", + "[1] 1.108483\n", + "\n", + "\n", + "$MSE_list[[10]]\n", + "$MSE_list[[10]][[1]]\n", + "[1] 4.312697\n", + "\n", + "$MSE_list[[10]][[2]]\n", + "[1] 5.790826\n", + "\n", + "$MSE_list[[10]][[3]]\n", + "[1] 3.42866\n", + "\n", + "$MSE_list[[10]][[4]]\n", + "[1] 3.316526\n", + "\n", + "$MSE_list[[10]][[5]]\n", + "[1] 5.651384\n", + "\n", + "$MSE_list[[10]][[6]]\n", + "[1] 3.094803\n", + "\n", + "$MSE_list[[10]][[7]]\n", + "[1] 3.125584\n", + "\n", + "$MSE_list[[10]][[8]]\n", + "[1] 4.263246\n", + "\n", + "$MSE_list[[10]][[9]]\n", + "[1] 1.660091\n", + "\n", + "$MSE_list[[10]][[10]]\n", + "[1] 6.583932\n", + "\n", + "$MSE_list[[10]][[11]]\n", + "[1] 4.907717\n", + "\n", + "$MSE_list[[10]][[12]]\n", + "[1] 5.557931\n", + "\n", + "$MSE_list[[10]][[13]]\n", + "[1] 4.410853\n", + "\n", + "$MSE_list[[10]][[14]]\n", + "[1] 1.774572\n", + "\n", + "$MSE_list[[10]][[15]]\n", + "[1] 4.764833\n", + "\n", + "$MSE_list[[10]][[16]]\n", + "[1] 9.636756\n", + "\n", + "$MSE_list[[10]][[17]]\n", + "[1] 5.074855\n", + "\n", + "$MSE_list[[10]][[18]]\n", + "[1] 3.333938\n", + "\n", + "$MSE_list[[10]][[19]]\n", + "[1] 6.785461\n", + "\n", + "$MSE_list[[10]][[20]]\n", + "[1] 2.610753\n", + "\n", + "$MSE_list[[10]][[21]]\n", + "[1] 6.247882\n", + "\n", + "$MSE_list[[10]][[22]]\n", + "[1] 6.458243\n", + "\n", + "$MSE_list[[10]][[23]]\n", + "[1] 3.707162\n", + "\n", + "$MSE_list[[10]][[24]]\n", + "[1] 1.145705\n", + "\n", + "$MSE_list[[10]][[25]]\n", + "[1] 3.287349\n", + "\n", + "$MSE_list[[10]][[26]]\n", + "[1] 5.881659\n", + "\n", + "$MSE_list[[10]][[27]]\n", + "[1] 2.833323\n", + "\n", + "$MSE_list[[10]][[28]]\n", + "[1] 4.668947\n", + "\n", + "$MSE_list[[10]][[29]]\n", + "[1] 10.37936\n", + "\n", + "$MSE_list[[10]][[30]]\n", + "[1] 7.177557\n", + "\n", + "$MSE_list[[10]][[31]]\n", + "[1] 5.332073\n", + "\n", + "$MSE_list[[10]][[32]]\n", + "[1] 6.148669\n", + "\n", + "$MSE_list[[10]][[33]]\n", + "[1] 6.15654\n", + "\n", + "$MSE_list[[10]][[34]]\n", + "[1] 2.64801\n", + "\n", + "$MSE_list[[10]][[35]]\n", + "[1] 4.281482\n", + "\n", + "$MSE_list[[10]][[36]]\n", + "[1] 3.309343\n", + "\n", + "$MSE_list[[10]][[37]]\n", + "[1] 2.42828\n", + "\n", + "$MSE_list[[10]][[38]]\n", + "[1] 2.705271\n", + "\n", + "$MSE_list[[10]][[39]]\n", + "[1] 8.113358\n", + "\n", + "$MSE_list[[10]][[40]]\n", + "[1] 4.078169\n", + "\n", + "$MSE_list[[10]][[41]]\n", + "[1] 3.958265\n", + "\n", + "$MSE_list[[10]][[42]]\n", + "[1] 7.292563\n", + "\n", + "$MSE_list[[10]][[43]]\n", + "[1] 6.012616\n", + "\n", + "$MSE_list[[10]][[44]]\n", + "[1] 5.347568\n", + "\n", + "$MSE_list[[10]][[45]]\n", + "[1] 7.623094\n", + "\n", + "$MSE_list[[10]][[46]]\n", + "[1] 1.769914\n", + "\n", + "$MSE_list[[10]][[47]]\n", + "[1] 6.609625\n", + "\n", + "$MSE_list[[10]][[48]]\n", + "[1] 5.652994\n", + "\n", + "$MSE_list[[10]][[49]]\n", + "[1] 2.530546\n", + "\n", + "$MSE_list[[10]][[50]]\n", + "[1] 7.958668\n", + "\n", + "$MSE_list[[10]][[51]]\n", + "[1] 5.023079\n", + "\n", + "$MSE_list[[10]][[52]]\n", + "[1] 5.77028\n", + "\n", + "$MSE_list[[10]][[53]]\n", + "[1] 7.585375\n", + "\n", + "$MSE_list[[10]][[54]]\n", + "[1] 7.838029\n", + "\n", + "$MSE_list[[10]][[55]]\n", + "[1] 3.224597\n", + "\n", + "$MSE_list[[10]][[56]]\n", + "[1] 1.32077\n", + "\n", + "$MSE_list[[10]][[57]]\n", + "[1] 3.977566\n", + "\n", + "$MSE_list[[10]][[58]]\n", + "[1] 5.472192\n", + "\n", + "$MSE_list[[10]][[59]]\n", + "[1] 4.106563\n", + "\n", + "$MSE_list[[10]][[60]]\n", + "[1] 3.406328\n", + "\n", + "$MSE_list[[10]][[61]]\n", + "[1] 4.165396\n", + "\n", + "$MSE_list[[10]][[62]]\n", + "[1] 1.560065\n", + "\n", + "$MSE_list[[10]][[63]]\n", + "[1] 6.930687\n", + "\n", + "$MSE_list[[10]][[64]]\n", + "[1] 6.75954\n", + "\n", + "$MSE_list[[10]][[65]]\n", + "[1] 1.530529\n", + "\n", + "$MSE_list[[10]][[66]]\n", + "[1] 8.370962\n", + "\n", + "$MSE_list[[10]][[67]]\n", + "[1] 4.666918\n", + "\n", + "$MSE_list[[10]][[68]]\n", + "[1] 3.999694\n", + "\n", + "$MSE_list[[10]][[69]]\n", + "[1] 6.971033\n", + "\n", + "$MSE_list[[10]][[70]]\n", + "[1] 5.128605\n", + "\n", + "$MSE_list[[10]][[71]]\n", + "[1] 4.557566\n", + "\n", + "$MSE_list[[10]][[72]]\n", + "[1] 4.050209\n", + "\n", + "$MSE_list[[10]][[73]]\n", + "[1] 1.603114\n", + "\n", + "$MSE_list[[10]][[74]]\n", + "[1] 5.533319\n", + "\n", + "$MSE_list[[10]][[75]]\n", + "[1] 8.177495\n", + "\n", + "$MSE_list[[10]][[76]]\n", + "[1] 1.214954\n", + "\n", + "$MSE_list[[10]][[77]]\n", + "[1] 4.662296\n", + "\n", + "$MSE_list[[10]][[78]]\n", + "[1] 6.241181\n", + "\n", + "$MSE_list[[10]][[79]]\n", + "[1] 0.2863001\n", + "\n", + "$MSE_list[[10]][[80]]\n", + "[1] 7.442697\n", + "\n", + "$MSE_list[[10]][[81]]\n", + "[1] 3.90559\n", + "\n", + "$MSE_list[[10]][[82]]\n", + "[1] 3.953156\n", + "\n", + "$MSE_list[[10]][[83]]\n", + "[1] 6.204685\n", + "\n", + "$MSE_list[[10]][[84]]\n", + "[1] 7.433291\n", + "\n", + "$MSE_list[[10]][[85]]\n", + "[1] 1.180915\n", + "\n", + "$MSE_list[[10]][[86]]\n", + "[1] 2.507997\n", + "\n", + "$MSE_list[[10]][[87]]\n", + "[1] 7.481779\n", + "\n", + "$MSE_list[[10]][[88]]\n", + "[1] 2.828072\n", + "\n", + "$MSE_list[[10]][[89]]\n", + "[1] 6.468471\n", + "\n", + "$MSE_list[[10]][[90]]\n", + "[1] 6.460466\n", + "\n", + "$MSE_list[[10]][[91]]\n", + "[1] 5.70564\n", + "\n", + "$MSE_list[[10]][[92]]\n", + "[1] 3.598675\n", + "\n", + "$MSE_list[[10]][[93]]\n", + "[1] 4.256986\n", + "\n", + "$MSE_list[[10]][[94]]\n", + "[1] 5.282355\n", + "\n", + "$MSE_list[[10]][[95]]\n", + "[1] 5.911099\n", + "\n", + "$MSE_list[[10]][[96]]\n", + "[1] 2.471056\n", + "\n", + "$MSE_list[[10]][[97]]\n", + "[1] 2.570257\n", + "\n", + "$MSE_list[[10]][[98]]\n", + "[1] 6.841215\n", + "\n", + "$MSE_list[[10]][[99]]\n", + "[1] 3.491627\n", + "\n", + "$MSE_list[[10]][[100]]\n", + "[1] 5.003755\n", + "\n", + "\n", + "$MSE_list[[11]]\n", + "$MSE_list[[11]][[1]]\n", + "[1] 5.099754\n", + "\n", + "$MSE_list[[11]][[2]]\n", + "[1] 1.495747\n", + "\n", + "$MSE_list[[11]][[3]]\n", + "[1] 1.878922\n", + "\n", + "$MSE_list[[11]][[4]]\n", + "[1] 10.09145\n", + "\n", + "$MSE_list[[11]][[5]]\n", + "[1] 2.850038\n", + "\n", + "$MSE_list[[11]][[6]]\n", + "[1] 5.066337\n", + "\n", + "$MSE_list[[11]][[7]]\n", + "[1] 1.759616\n", + "\n", + "$MSE_list[[11]][[8]]\n", + "[1] 7.789598\n", + "\n", + "$MSE_list[[11]][[9]]\n", + "[1] 10.24436\n", + "\n", + "$MSE_list[[11]][[10]]\n", + "[1] 8.10301\n", + "\n", + "$MSE_list[[11]][[11]]\n", + "[1] 5.474\n", + "\n", + "$MSE_list[[11]][[12]]\n", + "[1] 5.164317\n", + "\n", + "$MSE_list[[11]][[13]]\n", + "[1] 2.545764\n", + "\n", + "$MSE_list[[11]][[14]]\n", + "[1] 2.58571\n", + "\n", + "$MSE_list[[11]][[15]]\n", + "[1] 1.736978\n", + "\n", + "$MSE_list[[11]][[16]]\n", + "[1] 1.498449\n", + "\n", + "$MSE_list[[11]][[17]]\n", + "[1] 2.097163\n", + "\n", + "$MSE_list[[11]][[18]]\n", + "[1] 7.205624\n", + "\n", + "$MSE_list[[11]][[19]]\n", + "[1] 5.270461\n", + "\n", + "$MSE_list[[11]][[20]]\n", + "[1] 3.897642\n", + "\n", + "$MSE_list[[11]][[21]]\n", + "[1] 1.739049\n", + "\n", + "$MSE_list[[11]][[22]]\n", + "[1] 3.156072\n", + "\n", + "$MSE_list[[11]][[23]]\n", + "[1] 5.300675\n", + "\n", + "$MSE_list[[11]][[24]]\n", + "[1] 0.8236565\n", + "\n", + "$MSE_list[[11]][[25]]\n", + "[1] 15.73668\n", + "\n", + "$MSE_list[[11]][[26]]\n", + "[1] 8.645072\n", + "\n", + "$MSE_list[[11]][[27]]\n", + "[1] 9.258365\n", + "\n", + "$MSE_list[[11]][[28]]\n", + "[1] 5.632298\n", + "\n", + "$MSE_list[[11]][[29]]\n", + "[1] 1.109161\n", + "\n", + "$MSE_list[[11]][[30]]\n", + "[1] 1.382295\n", + "\n", + "$MSE_list[[11]][[31]]\n", + "[1] 8.792302\n", + "\n", + "$MSE_list[[11]][[32]]\n", + "[1] 2.055974\n", + "\n", + "$MSE_list[[11]][[33]]\n", + "[1] 3.67096\n", + "\n", + "$MSE_list[[11]][[34]]\n", + "[1] 1.140333\n", + "\n", + "$MSE_list[[11]][[35]]\n", + "[1] 4.49033\n", + "\n", + "$MSE_list[[11]][[36]]\n", + "[1] 2.069209\n", + "\n", + "$MSE_list[[11]][[37]]\n", + "[1] 4.305932\n", + "\n", + "$MSE_list[[11]][[38]]\n", + "[1] 6.67685\n", + "\n", + "$MSE_list[[11]][[39]]\n", + "[1] 5.222294\n", + "\n", + "$MSE_list[[11]][[40]]\n", + "[1] 7.608883\n", + "\n", + "$MSE_list[[11]][[41]]\n", + "[1] 5.486689\n", + "\n", + "$MSE_list[[11]][[42]]\n", + "[1] 5.279957\n", + "\n", + "$MSE_list[[11]][[43]]\n", + "[1] 2.32407\n", + "\n", + "$MSE_list[[11]][[44]]\n", + "[1] 5.154505\n", + "\n", + "$MSE_list[[11]][[45]]\n", + "[1] 1.569431\n", + "\n", + "$MSE_list[[11]][[46]]\n", + "[1] 8.273363\n", + "\n", + "$MSE_list[[11]][[47]]\n", + "[1] 9.549203\n", + "\n", + "$MSE_list[[11]][[48]]\n", + "[1] 2.865036\n", + "\n", + "$MSE_list[[11]][[49]]\n", + "[1] 1.677047\n", + "\n", + "$MSE_list[[11]][[50]]\n", + "[1] 3.493623\n", + "\n", + "$MSE_list[[11]][[51]]\n", + "[1] 7.097201\n", + "\n", + "$MSE_list[[11]][[52]]\n", + "[1] 5.392819\n", + "\n", + "$MSE_list[[11]][[53]]\n", + "[1] 5.24442\n", + "\n", + "$MSE_list[[11]][[54]]\n", + "[1] 5.30392\n", + "\n", + "$MSE_list[[11]][[55]]\n", + "[1] 6.854711\n", + "\n", + "$MSE_list[[11]][[56]]\n", + "[1] 7.537064\n", + "\n", + "$MSE_list[[11]][[57]]\n", + "[1] 5.736527\n", + "\n", + "$MSE_list[[11]][[58]]\n", + "[1] 8.283026\n", + "\n", + "$MSE_list[[11]][[59]]\n", + "[1] 3.581566\n", + "\n", + "$MSE_list[[11]][[60]]\n", + "[1] 5.43142\n", + "\n", + "$MSE_list[[11]][[61]]\n", + "[1] 2.907345\n", + "\n", + "$MSE_list[[11]][[62]]\n", + "[1] 1.370658\n", + "\n", + "$MSE_list[[11]][[63]]\n", + "[1] 7.514892\n", + "\n", + "$MSE_list[[11]][[64]]\n", + "[1] 5.063401\n", + "\n", + "$MSE_list[[11]][[65]]\n", + "[1] 4.884688\n", + "\n", + "$MSE_list[[11]][[66]]\n", + "[1] 1.578802\n", + "\n", + "$MSE_list[[11]][[67]]\n", + "[1] 1.832957\n", + "\n", + "$MSE_list[[11]][[68]]\n", + "[1] 8.311458\n", + "\n", + "$MSE_list[[11]][[69]]\n", + "[1] 1.029905\n", + "\n", + "$MSE_list[[11]][[70]]\n", + "[1] 3.885555\n", + "\n", + "$MSE_list[[11]][[71]]\n", + "[1] 6.555444\n", + "\n", + "$MSE_list[[11]][[72]]\n", + "[1] 6.374865\n", + "\n", + "$MSE_list[[11]][[73]]\n", + "[1] 4.121979\n", + "\n", + "$MSE_list[[11]][[74]]\n", + "[1] 3.935436\n", + "\n", + "$MSE_list[[11]][[75]]\n", + "[1] 7.903567\n", + "\n", + "$MSE_list[[11]][[76]]\n", + "[1] 2.54578\n", + "\n", + "$MSE_list[[11]][[77]]\n", + "[1] 3.791102\n", + "\n", + "$MSE_list[[11]][[78]]\n", + "[1] 2.123197\n", + "\n", + "$MSE_list[[11]][[79]]\n", + "[1] 5.47231\n", + "\n", + "$MSE_list[[11]][[80]]\n", + "[1] 1.290553\n", + "\n", + "$MSE_list[[11]][[81]]\n", + "[1] 6.469534\n", + "\n", + "$MSE_list[[11]][[82]]\n", + "[1] 1.453954\n", + "\n", + "$MSE_list[[11]][[83]]\n", + "[1] 1.118567\n", + "\n", + "$MSE_list[[11]][[84]]\n", + "[1] 1.974189\n", + "\n", + "$MSE_list[[11]][[85]]\n", + "[1] 8.052673\n", + "\n", + "$MSE_list[[11]][[86]]\n", + "[1] 1.841554\n", + "\n", + "$MSE_list[[11]][[87]]\n", + "[1] 4.778548\n", + "\n", + "$MSE_list[[11]][[88]]\n", + "[1] 6.357941\n", + "\n", + "$MSE_list[[11]][[89]]\n", + "[1] 8.862538\n", + "\n", + "$MSE_list[[11]][[90]]\n", + "[1] 4.204986\n", + "\n", + "$MSE_list[[11]][[91]]\n", + "[1] 1.298216\n", + "\n", + "$MSE_list[[11]][[92]]\n", + "[1] 7.549348\n", + "\n", + "$MSE_list[[11]][[93]]\n", + "[1] 2.816179\n", + "\n", + "$MSE_list[[11]][[94]]\n", + "[1] 3.755431\n", + "\n", + "$MSE_list[[11]][[95]]\n", + "[1] 10.97122\n", + "\n", + "$MSE_list[[11]][[96]]\n", + "[1] 4.558348\n", + "\n", + "$MSE_list[[11]][[97]]\n", + "[1] 5.662317\n", + "\n", + "$MSE_list[[11]][[98]]\n", + "[1] 2.529039\n", + "\n", + "$MSE_list[[11]][[99]]\n", + "[1] 6.363793\n", + "\n", + "$MSE_list[[11]][[100]]\n", + "[1] 5.915299\n", + "\n", + "\n", + "$MSE_list[[12]]\n", + "$MSE_list[[12]][[1]]\n", + "[1] 4.052463\n", + "\n", + "$MSE_list[[12]][[2]]\n", + "[1] 4.032971\n", + "\n", + "$MSE_list[[12]][[3]]\n", + "[1] 2.244317\n", + "\n", + "$MSE_list[[12]][[4]]\n", + "[1] 2.088317\n", + "\n", + "$MSE_list[[12]][[5]]\n", + "[1] 5.3801\n", + "\n", + "$MSE_list[[12]][[6]]\n", + "[1] 4.446974\n", + "\n", + "$MSE_list[[12]][[7]]\n", + "[1] 2.819264\n", + "\n", + "$MSE_list[[12]][[8]]\n", + "[1] 2.322177\n", + "\n", + "$MSE_list[[12]][[9]]\n", + "[1] 2.97145\n", + "\n", + "$MSE_list[[12]][[10]]\n", + "[1] 3.642743\n", + "\n", + "$MSE_list[[12]][[11]]\n", + "[1] 3.123023\n", + "\n", + "$MSE_list[[12]][[12]]\n", + "[1] 5.083045\n", + "\n", + "$MSE_list[[12]][[13]]\n", + "[1] 5.821211\n", + "\n", + "$MSE_list[[12]][[14]]\n", + "[1] 1.271222\n", + "\n", + "$MSE_list[[12]][[15]]\n", + "[1] 2.550189\n", + "\n", + "$MSE_list[[12]][[16]]\n", + "[1] 3.711773\n", + "\n", + "$MSE_list[[12]][[17]]\n", + "[1] 3.450152\n", + "\n", + "$MSE_list[[12]][[18]]\n", + "[1] 1.558706\n", + "\n", + "$MSE_list[[12]][[19]]\n", + "[1] 2.680463\n", + "\n", + "$MSE_list[[12]][[20]]\n", + "[1] 4.152635\n", + "\n", + "$MSE_list[[12]][[21]]\n", + "[1] 2.602024\n", + "\n", + "$MSE_list[[12]][[22]]\n", + "[1] 3.846579\n", + "\n", + "$MSE_list[[12]][[23]]\n", + "[1] 1.473537\n", + "\n", + "$MSE_list[[12]][[24]]\n", + "[1] 1.363081\n", + "\n", + "$MSE_list[[12]][[25]]\n", + "[1] 1.901974\n", + "\n", + "$MSE_list[[12]][[26]]\n", + "[1] 2.28406\n", + "\n", + "$MSE_list[[12]][[27]]\n", + "[1] 3.135296\n", + "\n", + "$MSE_list[[12]][[28]]\n", + "[1] 4.507867\n", + "\n", + "$MSE_list[[12]][[29]]\n", + "[1] 4.930952\n", + "\n", + "$MSE_list[[12]][[30]]\n", + "[1] 1.066634\n", + "\n", + "$MSE_list[[12]][[31]]\n", + "[1] 5.935465\n", + "\n", + "$MSE_list[[12]][[32]]\n", + "[1] 3.685491\n", + "\n", + "$MSE_list[[12]][[33]]\n", + "[1] 1.480529\n", + "\n", + "$MSE_list[[12]][[34]]\n", + "[1] 2.967935\n", + "\n", + "$MSE_list[[12]][[35]]\n", + "[1] 1.53143\n", + "\n", + "$MSE_list[[12]][[36]]\n", + "[1] 2.70256\n", + "\n", + "$MSE_list[[12]][[37]]\n", + "[1] 4.701923\n", + "\n", + "$MSE_list[[12]][[38]]\n", + "[1] 7.603656\n", + "\n", + "$MSE_list[[12]][[39]]\n", + "[1] 2.910844\n", + "\n", + "$MSE_list[[12]][[40]]\n", + "[1] 4.896926\n", + "\n", + "$MSE_list[[12]][[41]]\n", + "[1] 2.105194\n", + "\n", + "$MSE_list[[12]][[42]]\n", + "[1] 2.284241\n", + "\n", + "$MSE_list[[12]][[43]]\n", + "[1] 3.031471\n", + "\n", + "$MSE_list[[12]][[44]]\n", + "[1] 4.230658\n", + "\n", + "$MSE_list[[12]][[45]]\n", + "[1] 2.010659\n", + "\n", + "$MSE_list[[12]][[46]]\n", + "[1] 2.174325\n", + "\n", + "$MSE_list[[12]][[47]]\n", + "[1] 2.28445\n", + "\n", + "$MSE_list[[12]][[48]]\n", + "[1] 4.992864\n", + "\n", + "$MSE_list[[12]][[49]]\n", + "[1] 1.696527\n", + "\n", + "$MSE_list[[12]][[50]]\n", + "[1] 5.753181\n", + "\n", + "$MSE_list[[12]][[51]]\n", + "[1] 6.343138\n", + "\n", + "$MSE_list[[12]][[52]]\n", + "[1] 1.112164\n", + "\n", + "$MSE_list[[12]][[53]]\n", + "[1] 4.027746\n", + "\n", + "$MSE_list[[12]][[54]]\n", + "[1] 3.904502\n", + "\n", + "$MSE_list[[12]][[55]]\n", + "[1] 1.055977\n", + "\n", + "$MSE_list[[12]][[56]]\n", + "[1] 0.7780089\n", + "\n", + "$MSE_list[[12]][[57]]\n", + "[1] 2.174632\n", + "\n", + "$MSE_list[[12]][[58]]\n", + "[1] 0.9334036\n", + "\n", + "$MSE_list[[12]][[59]]\n", + "[1] 3.03626\n", + "\n", + "$MSE_list[[12]][[60]]\n", + "[1] 3.940864\n", + "\n", + "$MSE_list[[12]][[61]]\n", + "[1] 2.623344\n", + "\n", + "$MSE_list[[12]][[62]]\n", + "[1] 1.793508\n", + "\n", + "$MSE_list[[12]][[63]]\n", + "[1] 5.997373\n", + "\n", + "$MSE_list[[12]][[64]]\n", + "[1] 1.086451\n", + "\n", + "$MSE_list[[12]][[65]]\n", + "[1] 0.888446\n", + "\n", + "$MSE_list[[12]][[66]]\n", + "[1] 2.495211\n", + "\n", + "$MSE_list[[12]][[67]]\n", + "[1] 1.562158\n", + "\n", + "$MSE_list[[12]][[68]]\n", + "[1] 1.04379\n", + "\n", + "$MSE_list[[12]][[69]]\n", + "[1] 1.053426\n", + "\n", + "$MSE_list[[12]][[70]]\n", + "[1] 1.829041\n", + "\n", + "$MSE_list[[12]][[71]]\n", + "[1] 2.902789\n", + "\n", + "$MSE_list[[12]][[72]]\n", + "[1] 3.185155\n", + "\n", + "$MSE_list[[12]][[73]]\n", + "[1] 2.335168\n", + "\n", + "$MSE_list[[12]][[74]]\n", + "[1] 2.744306\n", + "\n", + "$MSE_list[[12]][[75]]\n", + "[1] 1.40355\n", + "\n", + "$MSE_list[[12]][[76]]\n", + "[1] 3.201821\n", + "\n", + "$MSE_list[[12]][[77]]\n", + "[1] 3.037172\n", + "\n", + "$MSE_list[[12]][[78]]\n", + "[1] 0.5380797\n", + "\n", + "$MSE_list[[12]][[79]]\n", + "[1] 8.420032\n", + "\n", + "$MSE_list[[12]][[80]]\n", + "[1] 0.7472525\n", + "\n", + "$MSE_list[[12]][[81]]\n", + "[1] 4.491055\n", + "\n", + "$MSE_list[[12]][[82]]\n", + "[1] 4.02912\n", + "\n", + "$MSE_list[[12]][[83]]\n", + "[1] 3.180594\n", + "\n", + "$MSE_list[[12]][[84]]\n", + "[1] 2.96067\n", + "\n", + "$MSE_list[[12]][[85]]\n", + "[1] 4.265905\n", + "\n", + "$MSE_list[[12]][[86]]\n", + "[1] 1.417931\n", + "\n", + "$MSE_list[[12]][[87]]\n", + "[1] 3.296532\n", + "\n", + "$MSE_list[[12]][[88]]\n", + "[1] 2.05393\n", + "\n", + "$MSE_list[[12]][[89]]\n", + "[1] 6.389456\n", + "\n", + "$MSE_list[[12]][[90]]\n", + "[1] 2.496313\n", + "\n", + "$MSE_list[[12]][[91]]\n", + "[1] 4.723504\n", + "\n", + "$MSE_list[[12]][[92]]\n", + "[1] 2.412048\n", + "\n", + "$MSE_list[[12]][[93]]\n", + "[1] 4.585721\n", + "\n", + "$MSE_list[[12]][[94]]\n", + "[1] 2.989984\n", + "\n", + "$MSE_list[[12]][[95]]\n", + "[1] 2.673424\n", + "\n", + "$MSE_list[[12]][[96]]\n", + "[1] 3.009163\n", + "\n", + "$MSE_list[[12]][[97]]\n", + "[1] 2.840689\n", + "\n", + "$MSE_list[[12]][[98]]\n", + "[1] 3.802258\n", + "\n", + "$MSE_list[[12]][[99]]\n", + "[1] 1.166736\n", + "\n", + "$MSE_list[[12]][[100]]\n", + "[1] 4.489691\n", + "\n", + "\n", + "$MSE_list[[13]]\n", + "$MSE_list[[13]][[1]]\n", + "[1] 2.485152\n", + "\n", + "$MSE_list[[13]][[2]]\n", + "[1] 5.991395\n", + "\n", + "$MSE_list[[13]][[3]]\n", + "[1] 3.373513\n", + "\n", + "$MSE_list[[13]][[4]]\n", + "[1] 6.794861\n", + "\n", + "$MSE_list[[13]][[5]]\n", + "[1] 3.126137\n", + "\n", + "$MSE_list[[13]][[6]]\n", + "[1] 1.444919\n", + "\n", + "$MSE_list[[13]][[7]]\n", + "[1] 4.976177\n", + "\n", + "$MSE_list[[13]][[8]]\n", + "[1] 3.956595\n", + "\n", + "$MSE_list[[13]][[9]]\n", + "[1] 5.573648\n", + "\n", + "$MSE_list[[13]][[10]]\n", + "[1] 1.836457\n", + "\n", + "$MSE_list[[13]][[11]]\n", + "[1] 3.5748\n", + "\n", + "$MSE_list[[13]][[12]]\n", + "[1] 1.693153\n", + "\n", + "$MSE_list[[13]][[13]]\n", + "[1] 6.104133\n", + "\n", + "$MSE_list[[13]][[14]]\n", + "[1] 4.780271\n", + "\n", + "$MSE_list[[13]][[15]]\n", + "[1] 3.853302\n", + "\n", + "$MSE_list[[13]][[16]]\n", + "[1] 3.084665\n", + "\n", + "$MSE_list[[13]][[17]]\n", + "[1] 2.445902\n", + "\n", + "$MSE_list[[13]][[18]]\n", + "[1] 3.081291\n", + "\n", + "$MSE_list[[13]][[19]]\n", + "[1] 1.101344\n", + "\n", + "$MSE_list[[13]][[20]]\n", + "[1] 2.714904\n", + "\n", + "$MSE_list[[13]][[21]]\n", + "[1] 2.933552\n", + "\n", + "$MSE_list[[13]][[22]]\n", + "[1] 4.3017\n", + "\n", + "$MSE_list[[13]][[23]]\n", + "[1] 1.597806\n", + "\n", + "$MSE_list[[13]][[24]]\n", + "[1] 1.859672\n", + "\n", + "$MSE_list[[13]][[25]]\n", + "[1] 1.938135\n", + "\n", + "$MSE_list[[13]][[26]]\n", + "[1] 2.638617\n", + "\n", + "$MSE_list[[13]][[27]]\n", + "[1] 3.008905\n", + "\n", + "$MSE_list[[13]][[28]]\n", + "[1] 0.657749\n", + "\n", + "$MSE_list[[13]][[29]]\n", + "[1] 4.102056\n", + "\n", + "$MSE_list[[13]][[30]]\n", + "[1] 2.38472\n", + "\n", + "$MSE_list[[13]][[31]]\n", + "[1] 5.38826\n", + "\n", + "$MSE_list[[13]][[32]]\n", + "[1] 7.031902\n", + "\n", + "$MSE_list[[13]][[33]]\n", + "[1] 3.402122\n", + "\n", + "$MSE_list[[13]][[34]]\n", + "[1] 1.340955\n", + "\n", + "$MSE_list[[13]][[35]]\n", + "[1] 1.420258\n", + "\n", + "$MSE_list[[13]][[36]]\n", + "[1] 5.171655\n", + "\n", + "$MSE_list[[13]][[37]]\n", + "[1] 2.490989\n", + "\n", + "$MSE_list[[13]][[38]]\n", + "[1] 3.218301\n", + "\n", + "$MSE_list[[13]][[39]]\n", + "[1] 4.713955\n", + "\n", + "$MSE_list[[13]][[40]]\n", + "[1] 2.325329\n", + "\n", + "$MSE_list[[13]][[41]]\n", + "[1] 4.403601\n", + "\n", + "$MSE_list[[13]][[42]]\n", + "[1] 4.511632\n", + "\n", + "$MSE_list[[13]][[43]]\n", + "[1] 2.599873\n", + "\n", + "$MSE_list[[13]][[44]]\n", + "[1] 5.291789\n", + "\n", + "$MSE_list[[13]][[45]]\n", + "[1] 4.475045\n", + "\n", + "$MSE_list[[13]][[46]]\n", + "[1] 4.485204\n", + "\n", + "$MSE_list[[13]][[47]]\n", + "[1] 4.461576\n", + "\n", + "$MSE_list[[13]][[48]]\n", + "[1] 2.813296\n", + "\n", + "$MSE_list[[13]][[49]]\n", + "[1] 2.993381\n", + "\n", + "$MSE_list[[13]][[50]]\n", + "[1] 5.213328\n", + "\n", + "$MSE_list[[13]][[51]]\n", + "[1] 2.806195\n", + "\n", + "$MSE_list[[13]][[52]]\n", + "[1] 3.539488\n", + "\n", + "$MSE_list[[13]][[53]]\n", + "[1] 7.195616\n", + "\n", + "$MSE_list[[13]][[54]]\n", + "[1] 6.629293\n", + "\n", + "$MSE_list[[13]][[55]]\n", + "[1] 7.729967\n", + "\n", + "$MSE_list[[13]][[56]]\n", + "[1] 4.592865\n", + "\n", + "$MSE_list[[13]][[57]]\n", + "[1] 5.565599\n", + "\n", + "$MSE_list[[13]][[58]]\n", + "[1] 3.804818\n", + "\n", + "$MSE_list[[13]][[59]]\n", + "[1] 3.585473\n", + "\n", + "$MSE_list[[13]][[60]]\n", + "[1] 4.263872\n", + "\n", + "$MSE_list[[13]][[61]]\n", + "[1] 4.304784\n", + "\n", + "$MSE_list[[13]][[62]]\n", + "[1] 1.550175\n", + "\n", + "$MSE_list[[13]][[63]]\n", + "[1] 2.269724\n", + "\n", + "$MSE_list[[13]][[64]]\n", + "[1] 8.915002\n", + "\n", + "$MSE_list[[13]][[65]]\n", + "[1] 2.018572\n", + "\n", + "$MSE_list[[13]][[66]]\n", + "[1] 6.532364\n", + "\n", + "$MSE_list[[13]][[67]]\n", + "[1] 1.708798\n", + "\n", + "$MSE_list[[13]][[68]]\n", + "[1] 5.748707\n", + "\n", + "$MSE_list[[13]][[69]]\n", + "[1] 5.324706\n", + "\n", + "$MSE_list[[13]][[70]]\n", + "[1] 0.7879466\n", + "\n", + "$MSE_list[[13]][[71]]\n", + "[1] 2.947471\n", + "\n", + "$MSE_list[[13]][[72]]\n", + "[1] 7.062771\n", + "\n", + "$MSE_list[[13]][[73]]\n", + "[1] 3.767323\n", + "\n", + "$MSE_list[[13]][[74]]\n", + "[1] 4.421034\n", + "\n", + "$MSE_list[[13]][[75]]\n", + "[1] 1.910466\n", + "\n", + "$MSE_list[[13]][[76]]\n", + "[1] 2.891981\n", + "\n", + "$MSE_list[[13]][[77]]\n", + "[1] 2.194976\n", + "\n", + "$MSE_list[[13]][[78]]\n", + "[1] 4.317556\n", + "\n", + "$MSE_list[[13]][[79]]\n", + "[1] 4.198251\n", + "\n", + "$MSE_list[[13]][[80]]\n", + "[1] 4.335268\n", + "\n", + "$MSE_list[[13]][[81]]\n", + "[1] 1.774658\n", + "\n", + "$MSE_list[[13]][[82]]\n", + "[1] 4.145567\n", + "\n", + "$MSE_list[[13]][[83]]\n", + "[1] 5.851778\n", + "\n", + "$MSE_list[[13]][[84]]\n", + "[1] 2.438515\n", + "\n", + "$MSE_list[[13]][[85]]\n", + "[1] 5.415618\n", + "\n", + "$MSE_list[[13]][[86]]\n", + "[1] 2.626059\n", + "\n", + "$MSE_list[[13]][[87]]\n", + "[1] 4.320862\n", + "\n", + "$MSE_list[[13]][[88]]\n", + "[1] 8.425105\n", + "\n", + "$MSE_list[[13]][[89]]\n", + "[1] 9.148993\n", + "\n", + "$MSE_list[[13]][[90]]\n", + "[1] 3.352131\n", + "\n", + "$MSE_list[[13]][[91]]\n", + "[1] 1.649797\n", + "\n", + "$MSE_list[[13]][[92]]\n", + "[1] 1.534647\n", + "\n", + "$MSE_list[[13]][[93]]\n", + "[1] 2.295599\n", + "\n", + "$MSE_list[[13]][[94]]\n", + "[1] 4.723803\n", + "\n", + "$MSE_list[[13]][[95]]\n", + "[1] 3.173203\n", + "\n", + "$MSE_list[[13]][[96]]\n", + "[1] 4.727193\n", + "\n", + "$MSE_list[[13]][[97]]\n", + "[1] 2.825736\n", + "\n", + "$MSE_list[[13]][[98]]\n", + "[1] 6.365791\n", + "\n", + "$MSE_list[[13]][[99]]\n", + "[1] 6.745029\n", + "\n", + "$MSE_list[[13]][[100]]\n", + "[1] 4.928957\n", + "\n", + "\n", + "$MSE_list[[14]]\n", + "$MSE_list[[14]][[1]]\n", + "[1] 1.927258\n", + "\n", + "$MSE_list[[14]][[2]]\n", + "[1] 2.876435\n", + "\n", + "$MSE_list[[14]][[3]]\n", + "[1] 7.64295\n", + "\n", + "$MSE_list[[14]][[4]]\n", + "[1] 6.160693\n", + "\n", + "$MSE_list[[14]][[5]]\n", + "[1] 2.123641\n", + "\n", + "$MSE_list[[14]][[6]]\n", + "[1] 4.344226\n", + "\n", + "$MSE_list[[14]][[7]]\n", + "[1] 6.155815\n", + "\n", + "$MSE_list[[14]][[8]]\n", + "[1] 4.862879\n", + "\n", + "$MSE_list[[14]][[9]]\n", + "[1] 2.501057\n", + "\n", + "$MSE_list[[14]][[10]]\n", + "[1] 3.042724\n", + "\n", + "$MSE_list[[14]][[11]]\n", + "[1] 3.302194\n", + "\n", + "$MSE_list[[14]][[12]]\n", + "[1] 4.080785\n", + "\n", + "$MSE_list[[14]][[13]]\n", + "[1] 7.771645\n", + "\n", + "$MSE_list[[14]][[14]]\n", + "[1] 8.464625\n", + "\n", + "$MSE_list[[14]][[15]]\n", + "[1] 3.216008\n", + "\n", + "$MSE_list[[14]][[16]]\n", + "[1] 0.666514\n", + "\n", + "$MSE_list[[14]][[17]]\n", + "[1] 1.778929\n", + "\n", + "$MSE_list[[14]][[18]]\n", + "[1] 4.559346\n", + "\n", + "$MSE_list[[14]][[19]]\n", + "[1] 4.252703\n", + "\n", + "$MSE_list[[14]][[20]]\n", + "[1] 9.345157\n", + "\n", + "$MSE_list[[14]][[21]]\n", + "[1] 7.78761\n", + "\n", + "$MSE_list[[14]][[22]]\n", + "[1] 4.127887\n", + "\n", + "$MSE_list[[14]][[23]]\n", + "[1] 6.641339\n", + "\n", + "$MSE_list[[14]][[24]]\n", + "[1] 3.252357\n", + "\n", + "$MSE_list[[14]][[25]]\n", + "[1] 5.058753\n", + "\n", + "$MSE_list[[14]][[26]]\n", + "[1] 6.776647\n", + "\n", + "$MSE_list[[14]][[27]]\n", + "[1] 7.043362\n", + "\n", + "$MSE_list[[14]][[28]]\n", + "[1] 4.046502\n", + "\n", + "$MSE_list[[14]][[29]]\n", + "[1] 5.116348\n", + "\n", + "$MSE_list[[14]][[30]]\n", + "[1] 1.714499\n", + "\n", + "$MSE_list[[14]][[31]]\n", + "[1] 4.781112\n", + "\n", + "$MSE_list[[14]][[32]]\n", + "[1] 5.009765\n", + "\n", + "$MSE_list[[14]][[33]]\n", + "[1] 3.848192\n", + "\n", + "$MSE_list[[14]][[34]]\n", + "[1] 7.328875\n", + "\n", + "$MSE_list[[14]][[35]]\n", + "[1] 8.378661\n", + "\n", + "$MSE_list[[14]][[36]]\n", + "[1] 3.294693\n", + "\n", + "$MSE_list[[14]][[37]]\n", + "[1] 6.219182\n", + "\n", + "$MSE_list[[14]][[38]]\n", + "[1] 7.267011\n", + "\n", + "$MSE_list[[14]][[39]]\n", + "[1] 7.103404\n", + "\n", + "$MSE_list[[14]][[40]]\n", + "[1] 2.483373\n", + "\n", + "$MSE_list[[14]][[41]]\n", + "[1] 6.772085\n", + "\n", + "$MSE_list[[14]][[42]]\n", + "[1] 5.705468\n", + "\n", + "$MSE_list[[14]][[43]]\n", + "[1] 3.501258\n", + "\n", + "$MSE_list[[14]][[44]]\n", + "[1] 3.861339\n", + "\n", + "$MSE_list[[14]][[45]]\n", + "[1] 10.24782\n", + "\n", + "$MSE_list[[14]][[46]]\n", + "[1] 11.36731\n", + "\n", + "$MSE_list[[14]][[47]]\n", + "[1] 7.064067\n", + "\n", + "$MSE_list[[14]][[48]]\n", + "[1] 0.6733607\n", + "\n", + "$MSE_list[[14]][[49]]\n", + "[1] 1.380752\n", + "\n", + "$MSE_list[[14]][[50]]\n", + "[1] 6.701117\n", + "\n", + "$MSE_list[[14]][[51]]\n", + "[1] 5.838317\n", + "\n", + "$MSE_list[[14]][[52]]\n", + "[1] 4.847299\n", + "\n", + "$MSE_list[[14]][[53]]\n", + "[1] 1.394796\n", + "\n", + "$MSE_list[[14]][[54]]\n", + "[1] 1.982781\n", + "\n", + "$MSE_list[[14]][[55]]\n", + "[1] 3.517847\n", + "\n", + "$MSE_list[[14]][[56]]\n", + "[1] 5.596749\n", + "\n", + "$MSE_list[[14]][[57]]\n", + "[1] 3.713175\n", + "\n", + "$MSE_list[[14]][[58]]\n", + "[1] 5.328955\n", + "\n", + "$MSE_list[[14]][[59]]\n", + "[1] 3.262331\n", + "\n", + "$MSE_list[[14]][[60]]\n", + "[1] 5.759921\n", + "\n", + "$MSE_list[[14]][[61]]\n", + "[1] 8.741982\n", + "\n", + "$MSE_list[[14]][[62]]\n", + "[1] 7.926765\n", + "\n", + "$MSE_list[[14]][[63]]\n", + "[1] 8.406207\n", + "\n", + "$MSE_list[[14]][[64]]\n", + "[1] 4.137164\n", + "\n", + "$MSE_list[[14]][[65]]\n", + "[1] 5.376458\n", + "\n", + "$MSE_list[[14]][[66]]\n", + "[1] 5.359014\n", + "\n", + "$MSE_list[[14]][[67]]\n", + "[1] 1.335486\n", + "\n", + "$MSE_list[[14]][[68]]\n", + "[1] 5.461464\n", + "\n", + "$MSE_list[[14]][[69]]\n", + "[1] 10.56624\n", + "\n", + "$MSE_list[[14]][[70]]\n", + "[1] 3.356409\n", + "\n", + "$MSE_list[[14]][[71]]\n", + "[1] 9.363331\n", + "\n", + "$MSE_list[[14]][[72]]\n", + "[1] 5.838644\n", + "\n", + "$MSE_list[[14]][[73]]\n", + "[1] 5.555284\n", + "\n", + "$MSE_list[[14]][[74]]\n", + "[1] 4.972733\n", + "\n", + "$MSE_list[[14]][[75]]\n", + "[1] 5.832136\n", + "\n", + "$MSE_list[[14]][[76]]\n", + "[1] 2.194979\n", + "\n", + "$MSE_list[[14]][[77]]\n", + "[1] 7.584156\n", + "\n", + "$MSE_list[[14]][[78]]\n", + "[1] 1.412382\n", + "\n", + "$MSE_list[[14]][[79]]\n", + "[1] 4.145629\n", + "\n", + "$MSE_list[[14]][[80]]\n", + "[1] 11.38761\n", + "\n", + "$MSE_list[[14]][[81]]\n", + "[1] 2.462943\n", + "\n", + "$MSE_list[[14]][[82]]\n", + "[1] 4.714763\n", + "\n", + "$MSE_list[[14]][[83]]\n", + "[1] 6.592996\n", + "\n", + "$MSE_list[[14]][[84]]\n", + "[1] 5.051523\n", + "\n", + "$MSE_list[[14]][[85]]\n", + "[1] 5.287064\n", + "\n", + "$MSE_list[[14]][[86]]\n", + "[1] 4.294069\n", + "\n", + "$MSE_list[[14]][[87]]\n", + "[1] 1.84393\n", + "\n", + "$MSE_list[[14]][[88]]\n", + "[1] 4.177298\n", + "\n", + "$MSE_list[[14]][[89]]\n", + "[1] 6.011405\n", + "\n", + "$MSE_list[[14]][[90]]\n", + "[1] 6.090511\n", + "\n", + "$MSE_list[[14]][[91]]\n", + "[1] 7.747942\n", + "\n", + "$MSE_list[[14]][[92]]\n", + "[1] 6.577001\n", + "\n", + "$MSE_list[[14]][[93]]\n", + "[1] 1.170802\n", + "\n", + "$MSE_list[[14]][[94]]\n", + "[1] 2.047972\n", + "\n", + "$MSE_list[[14]][[95]]\n", + "[1] 6.171725\n", + "\n", + "$MSE_list[[14]][[96]]\n", + "[1] 5.537049\n", + "\n", + "$MSE_list[[14]][[97]]\n", + "[1] 6.656427\n", + "\n", + "$MSE_list[[14]][[98]]\n", + "[1] 6.950878\n", + "\n", + "$MSE_list[[14]][[99]]\n", + "[1] 1.117945\n", + "\n", + "$MSE_list[[14]][[100]]\n", + "[1] 4.103988\n", + "\n", + "\n", + "$MSE_list[[15]]\n", + "$MSE_list[[15]][[1]]\n", + "[1] 1.809666\n", + "\n", + "$MSE_list[[15]][[2]]\n", + "[1] 4.554122\n", + "\n", + "$MSE_list[[15]][[3]]\n", + "[1] 4.624274\n", + "\n", + "$MSE_list[[15]][[4]]\n", + "[1] 9.751346\n", + "\n", + "$MSE_list[[15]][[5]]\n", + "[1] 5.112336\n", + "\n", + "$MSE_list[[15]][[6]]\n", + "[1] 4.174258\n", + "\n", + "$MSE_list[[15]][[7]]\n", + "[1] 6.098204\n", + "\n", + "$MSE_list[[15]][[8]]\n", + "[1] 1.461903\n", + "\n", + "$MSE_list[[15]][[9]]\n", + "[1] 2.896127\n", + "\n", + "$MSE_list[[15]][[10]]\n", + "[1] 1.33176\n", + "\n", + "$MSE_list[[15]][[11]]\n", + "[1] 1.221173\n", + "\n", + "$MSE_list[[15]][[12]]\n", + "[1] 6.63368\n", + "\n", + "$MSE_list[[15]][[13]]\n", + "[1] 3.030707\n", + "\n", + "$MSE_list[[15]][[14]]\n", + "[1] 4.910511\n", + "\n", + "$MSE_list[[15]][[15]]\n", + "[1] 7.007229\n", + "\n", + "$MSE_list[[15]][[16]]\n", + "[1] 5.901664\n", + "\n", + "$MSE_list[[15]][[17]]\n", + "[1] 5.806945\n", + "\n", + "$MSE_list[[15]][[18]]\n", + "[1] 2.883587\n", + "\n", + "$MSE_list[[15]][[19]]\n", + "[1] 1.885005\n", + "\n", + "$MSE_list[[15]][[20]]\n", + "[1] 8.294846\n", + "\n", + "$MSE_list[[15]][[21]]\n", + "[1] 4.462785\n", + "\n", + "$MSE_list[[15]][[22]]\n", + "[1] 6.468889\n", + "\n", + "$MSE_list[[15]][[23]]\n", + "[1] 3.693269\n", + "\n", + "$MSE_list[[15]][[24]]\n", + "[1] 4.824093\n", + "\n", + "$MSE_list[[15]][[25]]\n", + "[1] 1.822816\n", + "\n", + "$MSE_list[[15]][[26]]\n", + "[1] 4.587003\n", + "\n", + "$MSE_list[[15]][[27]]\n", + "[1] 4.244111\n", + "\n", + "$MSE_list[[15]][[28]]\n", + "[1] 1.60628\n", + "\n", + "$MSE_list[[15]][[29]]\n", + "[1] 6.36544\n", + "\n", + "$MSE_list[[15]][[30]]\n", + "[1] 3.157402\n", + "\n", + "$MSE_list[[15]][[31]]\n", + "[1] 5.672337\n", + "\n", + "$MSE_list[[15]][[32]]\n", + "[1] 6.025338\n", + "\n", + "$MSE_list[[15]][[33]]\n", + "[1] 1.142846\n", + "\n", + "$MSE_list[[15]][[34]]\n", + "[1] 2.400457\n", + "\n", + "$MSE_list[[15]][[35]]\n", + "[1] 2.786666\n", + "\n", + "$MSE_list[[15]][[36]]\n", + "[1] 1.79486\n", + "\n", + "$MSE_list[[15]][[37]]\n", + "[1] 1.727247\n", + "\n", + "$MSE_list[[15]][[38]]\n", + "[1] 5.384956\n", + "\n", + "$MSE_list[[15]][[39]]\n", + "[1] 2.293486\n", + "\n", + "$MSE_list[[15]][[40]]\n", + "[1] 2.654454\n", + "\n", + "$MSE_list[[15]][[41]]\n", + "[1] 2.215204\n", + "\n", + "$MSE_list[[15]][[42]]\n", + "[1] 8.047941\n", + "\n", + "$MSE_list[[15]][[43]]\n", + "[1] 4.590079\n", + "\n", + "$MSE_list[[15]][[44]]\n", + "[1] 4.604558\n", + "\n", + "$MSE_list[[15]][[45]]\n", + "[1] 6.899544\n", + "\n", + "$MSE_list[[15]][[46]]\n", + "[1] 2.544454\n", + "\n", + "$MSE_list[[15]][[47]]\n", + "[1] 1.460274\n", + "\n", + "$MSE_list[[15]][[48]]\n", + "[1] 7.60655\n", + "\n", + "$MSE_list[[15]][[49]]\n", + "[1] 2.101901\n", + "\n", + "$MSE_list[[15]][[50]]\n", + "[1] 2.969658\n", + "\n", + "$MSE_list[[15]][[51]]\n", + "[1] 1.479583\n", + "\n", + "$MSE_list[[15]][[52]]\n", + "[1] 3.078071\n", + "\n", + "$MSE_list[[15]][[53]]\n", + "[1] 5.259691\n", + "\n", + "$MSE_list[[15]][[54]]\n", + "[1] 2.506675\n", + "\n", + "$MSE_list[[15]][[55]]\n", + "[1] 3.570958\n", + "\n", + "$MSE_list[[15]][[56]]\n", + "[1] 4.581991\n", + "\n", + "$MSE_list[[15]][[57]]\n", + "[1] 3.957704\n", + "\n", + "$MSE_list[[15]][[58]]\n", + "[1] 4.26299\n", + "\n", + "$MSE_list[[15]][[59]]\n", + "[1] 2.721788\n", + "\n", + "$MSE_list[[15]][[60]]\n", + "[1] 1.815325\n", + "\n", + "$MSE_list[[15]][[61]]\n", + "[1] 6.644033\n", + "\n", + "$MSE_list[[15]][[62]]\n", + "[1] 7.552377\n", + "\n", + "$MSE_list[[15]][[63]]\n", + "[1] 5.506365\n", + "\n", + "$MSE_list[[15]][[64]]\n", + "[1] 3.116862\n", + "\n", + "$MSE_list[[15]][[65]]\n", + "[1] 1.901012\n", + "\n", + "$MSE_list[[15]][[66]]\n", + "[1] 4.714335\n", + "\n", + "$MSE_list[[15]][[67]]\n", + "[1] 4.253047\n", + "\n", + "$MSE_list[[15]][[68]]\n", + "[1] 6.66594\n", + "\n", + "$MSE_list[[15]][[69]]\n", + "[1] 4.52587\n", + "\n", + "$MSE_list[[15]][[70]]\n", + "[1] 4.199284\n", + "\n", + "$MSE_list[[15]][[71]]\n", + "[1] 5.747873\n", + "\n", + "$MSE_list[[15]][[72]]\n", + "[1] 5.593467\n", + "\n", + "$MSE_list[[15]][[73]]\n", + "[1] 3.934501\n", + "\n", + "$MSE_list[[15]][[74]]\n", + "[1] 3.819927\n", + "\n", + "$MSE_list[[15]][[75]]\n", + "[1] 2.411739\n", + "\n", + "$MSE_list[[15]][[76]]\n", + "[1] 2.799919\n", + "\n", + "$MSE_list[[15]][[77]]\n", + "[1] 10.33955\n", + "\n", + "$MSE_list[[15]][[78]]\n", + "[1] 3.066833\n", + "\n", + "$MSE_list[[15]][[79]]\n", + "[1] 0.9293909\n", + "\n", + "$MSE_list[[15]][[80]]\n", + "[1] 6.076693\n", + "\n", + "$MSE_list[[15]][[81]]\n", + "[1] 4.326055\n", + "\n", + "$MSE_list[[15]][[82]]\n", + "[1] 0.8229991\n", + "\n", + "$MSE_list[[15]][[83]]\n", + "[1] 3.330255\n", + "\n", + "$MSE_list[[15]][[84]]\n", + "[1] 1.998841\n", + "\n", + "$MSE_list[[15]][[85]]\n", + "[1] 1.855897\n", + "\n", + "$MSE_list[[15]][[86]]\n", + "[1] 3.372636\n", + "\n", + "$MSE_list[[15]][[87]]\n", + "[1] 7.106546\n", + "\n", + "$MSE_list[[15]][[88]]\n", + "[1] 7.955736\n", + "\n", + "$MSE_list[[15]][[89]]\n", + "[1] 1.496511\n", + "\n", + "$MSE_list[[15]][[90]]\n", + "[1] 2.964449\n", + "\n", + "$MSE_list[[15]][[91]]\n", + "[1] 4.396589\n", + "\n", + "$MSE_list[[15]][[92]]\n", + "[1] 7.886828\n", + "\n", + "$MSE_list[[15]][[93]]\n", + "[1] 2.186697\n", + "\n", + "$MSE_list[[15]][[94]]\n", + "[1] 3.455303\n", + "\n", + "$MSE_list[[15]][[95]]\n", + "[1] 4.057554\n", + "\n", + "$MSE_list[[15]][[96]]\n", + "[1] 6.012667\n", + "\n", + "$MSE_list[[15]][[97]]\n", + "[1] 3.681187\n", + "\n", + "$MSE_list[[15]][[98]]\n", + "[1] 3.875037\n", + "\n", + "$MSE_list[[15]][[99]]\n", + "[1] 4.510423\n", + "\n", + "$MSE_list[[15]][[100]]\n", + "[1] 6.957726\n", + "\n", + "\n", + "$MSE_list[[16]]\n", + "$MSE_list[[16]][[1]]\n", + "[1] 7.685026\n", + "\n", + "$MSE_list[[16]][[2]]\n", + "[1] 7.388925\n", + "\n", + "$MSE_list[[16]][[3]]\n", + "[1] 6.519623\n", + "\n", + "$MSE_list[[16]][[4]]\n", + "[1] 2.272664\n", + "\n", + "$MSE_list[[16]][[5]]\n", + "[1] 1.7804\n", + "\n", + "$MSE_list[[16]][[6]]\n", + "[1] 3.181039\n", + "\n", + "$MSE_list[[16]][[7]]\n", + "[1] 4.684555\n", + "\n", + "$MSE_list[[16]][[8]]\n", + "[1] 9.052174\n", + "\n", + "$MSE_list[[16]][[9]]\n", + "[1] 3.559529\n", + "\n", + "$MSE_list[[16]][[10]]\n", + "[1] 2.278116\n", + "\n", + "$MSE_list[[16]][[11]]\n", + "[1] 8.538526\n", + "\n", + "$MSE_list[[16]][[12]]\n", + "[1] 5.504736\n", + "\n", + "$MSE_list[[16]][[13]]\n", + "[1] 5.572116\n", + "\n", + "$MSE_list[[16]][[14]]\n", + "[1] 7.287741\n", + "\n", + "$MSE_list[[16]][[15]]\n", + "[1] 11.84759\n", + "\n", + "$MSE_list[[16]][[16]]\n", + "[1] 1.773412\n", + "\n", + "$MSE_list[[16]][[17]]\n", + "[1] 3.771819\n", + "\n", + "$MSE_list[[16]][[18]]\n", + "[1] 4.049752\n", + "\n", + "$MSE_list[[16]][[19]]\n", + "[1] 1.752552\n", + "\n", + "$MSE_list[[16]][[20]]\n", + "[1] 10.19875\n", + "\n", + "$MSE_list[[16]][[21]]\n", + "[1] 3.518011\n", + "\n", + "$MSE_list[[16]][[22]]\n", + "[1] 2.769469\n", + "\n", + "$MSE_list[[16]][[23]]\n", + "[1] 2.868926\n", + "\n", + "$MSE_list[[16]][[24]]\n", + "[1] 1.475248\n", + "\n", + "$MSE_list[[16]][[25]]\n", + "[1] 5.483214\n", + "\n", + "$MSE_list[[16]][[26]]\n", + "[1] 7.734135\n", + "\n", + "$MSE_list[[16]][[27]]\n", + "[1] 1.478083\n", + "\n", + "$MSE_list[[16]][[28]]\n", + "[1] 4.934976\n", + "\n", + "$MSE_list[[16]][[29]]\n", + "[1] 6.744893\n", + "\n", + "$MSE_list[[16]][[30]]\n", + "[1] 5.477365\n", + "\n", + "$MSE_list[[16]][[31]]\n", + "[1] 2.548786\n", + "\n", + "$MSE_list[[16]][[32]]\n", + "[1] 2.180297\n", + "\n", + "$MSE_list[[16]][[33]]\n", + "[1] 1.210489\n", + "\n", + "$MSE_list[[16]][[34]]\n", + "[1] 7.618437\n", + "\n", + "$MSE_list[[16]][[35]]\n", + "[1] 1.335511\n", + "\n", + "$MSE_list[[16]][[36]]\n", + "[1] 2.693614\n", + "\n", + "$MSE_list[[16]][[37]]\n", + "[1] 6.140437\n", + "\n", + "$MSE_list[[16]][[38]]\n", + "[1] 6.106065\n", + "\n", + "$MSE_list[[16]][[39]]\n", + "[1] 2.689795\n", + "\n", + "$MSE_list[[16]][[40]]\n", + "[1] 5.793528\n", + "\n", + "$MSE_list[[16]][[41]]\n", + "[1] 1.628681\n", + "\n", + "$MSE_list[[16]][[42]]\n", + "[1] 5.262979\n", + "\n", + "$MSE_list[[16]][[43]]\n", + "[1] 5.339396\n", + "\n", + "$MSE_list[[16]][[44]]\n", + "[1] 4.52031\n", + "\n", + "$MSE_list[[16]][[45]]\n", + "[1] 6.336828\n", + "\n", + "$MSE_list[[16]][[46]]\n", + "[1] 3.503666\n", + "\n", + "$MSE_list[[16]][[47]]\n", + "[1] 8.100383\n", + "\n", + "$MSE_list[[16]][[48]]\n", + "[1] 2.875513\n", + "\n", + "$MSE_list[[16]][[49]]\n", + "[1] 5.699699\n", + "\n", + "$MSE_list[[16]][[50]]\n", + "[1] 5.2797\n", + "\n", + "$MSE_list[[16]][[51]]\n", + "[1] 7.409861\n", + "\n", + "$MSE_list[[16]][[52]]\n", + "[1] 2.347242\n", + "\n", + "$MSE_list[[16]][[53]]\n", + "[1] 4.077904\n", + "\n", + "$MSE_list[[16]][[54]]\n", + "[1] 1.008017\n", + "\n", + "$MSE_list[[16]][[55]]\n", + "[1] 6.585342\n", + "\n", + "$MSE_list[[16]][[56]]\n", + "[1] 6.05442\n", + "\n", + "$MSE_list[[16]][[57]]\n", + "[1] 5.815691\n", + "\n", + "$MSE_list[[16]][[58]]\n", + "[1] 4.272884\n", + "\n", + "$MSE_list[[16]][[59]]\n", + "[1] 9.574087\n", + "\n", + "$MSE_list[[16]][[60]]\n", + "[1] 2.216238\n", + "\n", + "$MSE_list[[16]][[61]]\n", + "[1] 4.233423\n", + "\n", + "$MSE_list[[16]][[62]]\n", + "[1] 6.774634\n", + "\n", + "$MSE_list[[16]][[63]]\n", + "[1] 8.464943\n", + "\n", + "$MSE_list[[16]][[64]]\n", + "[1] 5.179214\n", + "\n", + "$MSE_list[[16]][[65]]\n", + "[1] 3.567447\n", + "\n", + "$MSE_list[[16]][[66]]\n", + "[1] 3.791943\n", + "\n", + "$MSE_list[[16]][[67]]\n", + "[1] 7.019188\n", + "\n", + "$MSE_list[[16]][[68]]\n", + "[1] 3.475472\n", + "\n", + "$MSE_list[[16]][[69]]\n", + "[1] 6.258108\n", + "\n", + "$MSE_list[[16]][[70]]\n", + "[1] 6.51954\n", + "\n", + "$MSE_list[[16]][[71]]\n", + "[1] 2.712731\n", + "\n", + "$MSE_list[[16]][[72]]\n", + "[1] 3.121173\n", + "\n", + "$MSE_list[[16]][[73]]\n", + "[1] 4.950397\n", + "\n", + "$MSE_list[[16]][[74]]\n", + "[1] 6.786416\n", + "\n", + "$MSE_list[[16]][[75]]\n", + "[1] 4.063572\n", + "\n", + "$MSE_list[[16]][[76]]\n", + "[1] 7.855821\n", + "\n", + "$MSE_list[[16]][[77]]\n", + "[1] 5.307567\n", + "\n", + "$MSE_list[[16]][[78]]\n", + "[1] 3.992079\n", + "\n", + "$MSE_list[[16]][[79]]\n", + "[1] 4.134934\n", + "\n", + "$MSE_list[[16]][[80]]\n", + "[1] 3.865004\n", + "\n", + "$MSE_list[[16]][[81]]\n", + "[1] 8.259511\n", + "\n", + "$MSE_list[[16]][[82]]\n", + "[1] 2.663936\n", + "\n", + "$MSE_list[[16]][[83]]\n", + "[1] 8.530711\n", + "\n", + "$MSE_list[[16]][[84]]\n", + "[1] 3.596193\n", + "\n", + "$MSE_list[[16]][[85]]\n", + "[1] 6.970972\n", + "\n", + "$MSE_list[[16]][[86]]\n", + "[1] 4.802809\n", + "\n", + "$MSE_list[[16]][[87]]\n", + "[1] 4.641605\n", + "\n", + "$MSE_list[[16]][[88]]\n", + "[1] 2.315094\n", + "\n", + "$MSE_list[[16]][[89]]\n", + "[1] 4.721229\n", + "\n", + "$MSE_list[[16]][[90]]\n", + "[1] 5.988246\n", + "\n", + "$MSE_list[[16]][[91]]\n", + "[1] 5.300315\n", + "\n", + "$MSE_list[[16]][[92]]\n", + "[1] 8.013713\n", + "\n", + "$MSE_list[[16]][[93]]\n", + "[1] 4.657365\n", + "\n", + "$MSE_list[[16]][[94]]\n", + "[1] 5.879943\n", + "\n", + "$MSE_list[[16]][[95]]\n", + "[1] 2.326075\n", + "\n", + "$MSE_list[[16]][[96]]\n", + "[1] 5.306235\n", + "\n", + "$MSE_list[[16]][[97]]\n", + "[1] 7.888695\n", + "\n", + "$MSE_list[[16]][[98]]\n", + "[1] 5.780157\n", + "\n", + "$MSE_list[[16]][[99]]\n", + "[1] 5.91892\n", + "\n", + "$MSE_list[[16]][[100]]\n", + "[1] 4.407324\n", + "\n", + "\n", + "$MSE_list[[17]]\n", + "$MSE_list[[17]][[1]]\n", + "[1] 2.696359\n", + "\n", + "$MSE_list[[17]][[2]]\n", + "[1] 6.277399\n", + "\n", + "$MSE_list[[17]][[3]]\n", + "[1] 1.751992\n", + "\n", + "$MSE_list[[17]][[4]]\n", + "[1] 4.436713\n", + "\n", + "$MSE_list[[17]][[5]]\n", + "[1] 5.225367\n", + "\n", + "$MSE_list[[17]][[6]]\n", + "[1] 2.834366\n", + "\n", + "$MSE_list[[17]][[7]]\n", + "[1] 6.368609\n", + "\n", + "$MSE_list[[17]][[8]]\n", + "[1] 7.774264\n", + "\n", + "$MSE_list[[17]][[9]]\n", + "[1] 5.28397\n", + "\n", + "$MSE_list[[17]][[10]]\n", + "[1] 4.755021\n", + "\n", + "$MSE_list[[17]][[11]]\n", + "[1] 5.952763\n", + "\n", + "$MSE_list[[17]][[12]]\n", + "[1] 5.03973\n", + "\n", + "$MSE_list[[17]][[13]]\n", + "[1] 3.385268\n", + "\n", + "$MSE_list[[17]][[14]]\n", + "[1] 1.434546\n", + "\n", + "$MSE_list[[17]][[15]]\n", + "[1] 3.598101\n", + "\n", + "$MSE_list[[17]][[16]]\n", + "[1] 2.648332\n", + "\n", + "$MSE_list[[17]][[17]]\n", + "[1] 5.71216\n", + "\n", + "$MSE_list[[17]][[18]]\n", + "[1] 1.067433\n", + "\n", + "$MSE_list[[17]][[19]]\n", + "[1] 1.909109\n", + "\n", + "$MSE_list[[17]][[20]]\n", + "[1] 4.327739\n", + "\n", + "$MSE_list[[17]][[21]]\n", + "[1] 2.757639\n", + "\n", + "$MSE_list[[17]][[22]]\n", + "[1] 6.690972\n", + "\n", + "$MSE_list[[17]][[23]]\n", + "[1] 5.82303\n", + "\n", + "$MSE_list[[17]][[24]]\n", + "[1] 3.523689\n", + "\n", + "$MSE_list[[17]][[25]]\n", + "[1] 1.238269\n", + "\n", + "$MSE_list[[17]][[26]]\n", + "[1] 4.190366\n", + "\n", + "$MSE_list[[17]][[27]]\n", + "[1] 2.485286\n", + "\n", + "$MSE_list[[17]][[28]]\n", + "[1] 1.490859\n", + "\n", + "$MSE_list[[17]][[29]]\n", + "[1] 1.402949\n", + "\n", + "$MSE_list[[17]][[30]]\n", + "[1] 4.781457\n", + "\n", + "$MSE_list[[17]][[31]]\n", + "[1] 4.946239\n", + "\n", + "$MSE_list[[17]][[32]]\n", + "[1] 3.620954\n", + "\n", + "$MSE_list[[17]][[33]]\n", + "[1] 6.553808\n", + "\n", + "$MSE_list[[17]][[34]]\n", + "[1] 7.573355\n", + "\n", + "$MSE_list[[17]][[35]]\n", + "[1] 1.823687\n", + "\n", + "$MSE_list[[17]][[36]]\n", + "[1] 3.324047\n", + "\n", + "$MSE_list[[17]][[37]]\n", + "[1] 7.160052\n", + "\n", + "$MSE_list[[17]][[38]]\n", + "[1] 2.662369\n", + "\n", + "$MSE_list[[17]][[39]]\n", + "[1] 4.428919\n", + "\n", + "$MSE_list[[17]][[40]]\n", + "[1] 0.6085492\n", + "\n", + "$MSE_list[[17]][[41]]\n", + "[1] 1.610306\n", + "\n", + "$MSE_list[[17]][[42]]\n", + "[1] 2.154927\n", + "\n", + "$MSE_list[[17]][[43]]\n", + "[1] 1.193896\n", + "\n", + "$MSE_list[[17]][[44]]\n", + "[1] 4.955791\n", + "\n", + "$MSE_list[[17]][[45]]\n", + "[1] 2.389965\n", + "\n", + "$MSE_list[[17]][[46]]\n", + "[1] 4.337707\n", + "\n", + "$MSE_list[[17]][[47]]\n", + "[1] 2.724722\n", + "\n", + "$MSE_list[[17]][[48]]\n", + "[1] 3.942724\n", + "\n", + "$MSE_list[[17]][[49]]\n", + "[1] 4.714225\n", + "\n", + "$MSE_list[[17]][[50]]\n", + "[1] 6.057239\n", + "\n", + "$MSE_list[[17]][[51]]\n", + "[1] 9.30962\n", + "\n", + "$MSE_list[[17]][[52]]\n", + "[1] 3.501369\n", + "\n", + "$MSE_list[[17]][[53]]\n", + "[1] 2.39379\n", + "\n", + "$MSE_list[[17]][[54]]\n", + "[1] 2.538372\n", + "\n", + "$MSE_list[[17]][[55]]\n", + "[1] 1.134807\n", + "\n", + "$MSE_list[[17]][[56]]\n", + "[1] 1.945458\n", + "\n", + "$MSE_list[[17]][[57]]\n", + "[1] 5.514097\n", + "\n", + "$MSE_list[[17]][[58]]\n", + "[1] 2.596155\n", + "\n", + "$MSE_list[[17]][[59]]\n", + "[1] 5.196724\n", + "\n", + "$MSE_list[[17]][[60]]\n", + "[1] 6.579128\n", + "\n", + "$MSE_list[[17]][[61]]\n", + "[1] 10.68775\n", + "\n", + "$MSE_list[[17]][[62]]\n", + "[1] 2.319816\n", + "\n", + "$MSE_list[[17]][[63]]\n", + "[1] 1.317249\n", + "\n", + "$MSE_list[[17]][[64]]\n", + "[1] 5.604174\n", + "\n", + "$MSE_list[[17]][[65]]\n", + "[1] 3.418324\n", + "\n", + "$MSE_list[[17]][[66]]\n", + "[1] 1.756697\n", + "\n", + "$MSE_list[[17]][[67]]\n", + "[1] 3.075175\n", + "\n", + "$MSE_list[[17]][[68]]\n", + "[1] 9.746851\n", + "\n", + "$MSE_list[[17]][[69]]\n", + "[1] 1.951648\n", + "\n", + "$MSE_list[[17]][[70]]\n", + "[1] 6.268978\n", + "\n", + "$MSE_list[[17]][[71]]\n", + "[1] 4.045494\n", + "\n", + "$MSE_list[[17]][[72]]\n", + "[1] 2.894044\n", + "\n", + "$MSE_list[[17]][[73]]\n", + "[1] 4.563666\n", + "\n", + "$MSE_list[[17]][[74]]\n", + "[1] 2.03264\n", + "\n", + "$MSE_list[[17]][[75]]\n", + "[1] 6.077753\n", + "\n", + "$MSE_list[[17]][[76]]\n", + "[1] 6.332864\n", + "\n", + "$MSE_list[[17]][[77]]\n", + "[1] 5.821971\n", + "\n", + "$MSE_list[[17]][[78]]\n", + "[1] 2.651179\n", + "\n", + "$MSE_list[[17]][[79]]\n", + "[1] 4.264942\n", + "\n", + "$MSE_list[[17]][[80]]\n", + "[1] 2.025251\n", + "\n", + "$MSE_list[[17]][[81]]\n", + "[1] 2.870441\n", + "\n", + "$MSE_list[[17]][[82]]\n", + "[1] 3.243136\n", + "\n", + "$MSE_list[[17]][[83]]\n", + "[1] 3.912046\n", + "\n", + "$MSE_list[[17]][[84]]\n", + "[1] 3.488757\n", + "\n", + "$MSE_list[[17]][[85]]\n", + "[1] 1.607599\n", + "\n", + "$MSE_list[[17]][[86]]\n", + "[1] 3.39701\n", + "\n", + "$MSE_list[[17]][[87]]\n", + "[1] 1.789928\n", + "\n", + "$MSE_list[[17]][[88]]\n", + "[1] 3.983936\n", + "\n", + "$MSE_list[[17]][[89]]\n", + "[1] 1.904535\n", + "\n", + "$MSE_list[[17]][[90]]\n", + "[1] 6.337545\n", + "\n", + "$MSE_list[[17]][[91]]\n", + "[1] 3.69617\n", + "\n", + "$MSE_list[[17]][[92]]\n", + "[1] 6.564677\n", + "\n", + "$MSE_list[[17]][[93]]\n", + "[1] 9.310009\n", + "\n", + "$MSE_list[[17]][[94]]\n", + "[1] 3.787904\n", + "\n", + "$MSE_list[[17]][[95]]\n", + "[1] 7.151576\n", + "\n", + "$MSE_list[[17]][[96]]\n", + "[1] 1.292601\n", + "\n", + "$MSE_list[[17]][[97]]\n", + "[1] 4.221682\n", + "\n", + "$MSE_list[[17]][[98]]\n", + "[1] 5.694422\n", + "\n", + "$MSE_list[[17]][[99]]\n", + "[1] 4.288092\n", + "\n", + "$MSE_list[[17]][[100]]\n", + "[1] 3.892314\n", + "\n", + "\n", + "$MSE_list[[18]]\n", + "$MSE_list[[18]][[1]]\n", + "[1] 5.486754\n", + "\n", + "$MSE_list[[18]][[2]]\n", + "[1] 3.174676\n", + "\n", + "$MSE_list[[18]][[3]]\n", + "[1] 6.398879\n", + "\n", + "$MSE_list[[18]][[4]]\n", + "[1] 2.858309\n", + "\n", + "$MSE_list[[18]][[5]]\n", + "[1] 7.112176\n", + "\n", + "$MSE_list[[18]][[6]]\n", + "[1] 1.876414\n", + "\n", + "$MSE_list[[18]][[7]]\n", + "[1] 2.864423\n", + "\n", + "$MSE_list[[18]][[8]]\n", + "[1] 4.751586\n", + "\n", + "$MSE_list[[18]][[9]]\n", + "[1] 1.770558\n", + "\n", + "$MSE_list[[18]][[10]]\n", + "[1] 1.063821\n", + "\n", + "$MSE_list[[18]][[11]]\n", + "[1] 1.867012\n", + "\n", + "$MSE_list[[18]][[12]]\n", + "[1] 2.134548\n", + "\n", + "$MSE_list[[18]][[13]]\n", + "[1] 3.883168\n", + "\n", + "$MSE_list[[18]][[14]]\n", + "[1] 6.433477\n", + "\n", + "$MSE_list[[18]][[15]]\n", + "[1] 6.195033\n", + "\n", + "$MSE_list[[18]][[16]]\n", + "[1] 1.900444\n", + "\n", + "$MSE_list[[18]][[17]]\n", + "[1] 2.084378\n", + "\n", + "$MSE_list[[18]][[18]]\n", + "[1] 6.72223\n", + "\n", + "$MSE_list[[18]][[19]]\n", + "[1] 0.7970089\n", + "\n", + "$MSE_list[[18]][[20]]\n", + "[1] 2.283868\n", + "\n", + "$MSE_list[[18]][[21]]\n", + "[1] 7.201094\n", + "\n", + "$MSE_list[[18]][[22]]\n", + "[1] 6.497779\n", + "\n", + "$MSE_list[[18]][[23]]\n", + "[1] 3.367809\n", + "\n", + "$MSE_list[[18]][[24]]\n", + "[1] 2.591788\n", + "\n", + "$MSE_list[[18]][[25]]\n", + "[1] 3.191955\n", + "\n", + "$MSE_list[[18]][[26]]\n", + "[1] 2.104488\n", + "\n", + "$MSE_list[[18]][[27]]\n", + "[1] 4.293922\n", + "\n", + "$MSE_list[[18]][[28]]\n", + "[1] 2.465472\n", + "\n", + "$MSE_list[[18]][[29]]\n", + "[1] 7.439225\n", + "\n", + "$MSE_list[[18]][[30]]\n", + "[1] 2.724624\n", + "\n", + "$MSE_list[[18]][[31]]\n", + "[1] 1.972934\n", + "\n", + "$MSE_list[[18]][[32]]\n", + "[1] 6.419932\n", + "\n", + "$MSE_list[[18]][[33]]\n", + "[1] 2.845873\n", + "\n", + "$MSE_list[[18]][[34]]\n", + "[1] 1.22979\n", + "\n", + "$MSE_list[[18]][[35]]\n", + "[1] 5.935417\n", + "\n", + "$MSE_list[[18]][[36]]\n", + "[1] 7.73957\n", + "\n", + "$MSE_list[[18]][[37]]\n", + "[1] 5.364692\n", + "\n", + "$MSE_list[[18]][[38]]\n", + "[1] 1.602598\n", + "\n", + "$MSE_list[[18]][[39]]\n", + "[1] 1.792128\n", + "\n", + "$MSE_list[[18]][[40]]\n", + "[1] 2.801956\n", + "\n", + "$MSE_list[[18]][[41]]\n", + "[1] 4.77531\n", + "\n", + "$MSE_list[[18]][[42]]\n", + "[1] 4.838038\n", + "\n", + "$MSE_list[[18]][[43]]\n", + "[1] 1.838118\n", + "\n", + "$MSE_list[[18]][[44]]\n", + "[1] 1.624037\n", + "\n", + "$MSE_list[[18]][[45]]\n", + "[1] 4.488727\n", + "\n", + "$MSE_list[[18]][[46]]\n", + "[1] 2.715351\n", + "\n", + "$MSE_list[[18]][[47]]\n", + "[1] 5.033006\n", + "\n", + "$MSE_list[[18]][[48]]\n", + "[1] 3.439841\n", + "\n", + "$MSE_list[[18]][[49]]\n", + "[1] 3.815385\n", + "\n", + "$MSE_list[[18]][[50]]\n", + "[1] 3.8337\n", + "\n", + "$MSE_list[[18]][[51]]\n", + "[1] 2.254062\n", + "\n", + "$MSE_list[[18]][[52]]\n", + "[1] 6.879277\n", + "\n", + "$MSE_list[[18]][[53]]\n", + "[1] 2.359871\n", + "\n", + "$MSE_list[[18]][[54]]\n", + "[1] 1.896521\n", + "\n", + "$MSE_list[[18]][[55]]\n", + "[1] 4.814481\n", + "\n", + "$MSE_list[[18]][[56]]\n", + "[1] 2.680256\n", + "\n", + "$MSE_list[[18]][[57]]\n", + "[1] 1.801676\n", + "\n", + "$MSE_list[[18]][[58]]\n", + "[1] 1.531704\n", + "\n", + "$MSE_list[[18]][[59]]\n", + "[1] 1.896853\n", + "\n", + "$MSE_list[[18]][[60]]\n", + "[1] 2.164142\n", + "\n", + "$MSE_list[[18]][[61]]\n", + "[1] 1.954355\n", + "\n", + "$MSE_list[[18]][[62]]\n", + "[1] 1.67069\n", + "\n", + "$MSE_list[[18]][[63]]\n", + "[1] 6.028333\n", + "\n", + "$MSE_list[[18]][[64]]\n", + "[1] 7.105761\n", + "\n", + "$MSE_list[[18]][[65]]\n", + "[1] 3.055724\n", + "\n", + "$MSE_list[[18]][[66]]\n", + "[1] 3.487755\n", + "\n", + "$MSE_list[[18]][[67]]\n", + "[1] 2.702784\n", + "\n", + "$MSE_list[[18]][[68]]\n", + "[1] 3.545696\n", + "\n", + "$MSE_list[[18]][[69]]\n", + "[1] 6.541054\n", + "\n", + "$MSE_list[[18]][[70]]\n", + "[1] 1.423844\n", + "\n", + "$MSE_list[[18]][[71]]\n", + "[1] 6.032784\n", + "\n", + "$MSE_list[[18]][[72]]\n", + "[1] 1.977574\n", + "\n", + "$MSE_list[[18]][[73]]\n", + "[1] 6.897018\n", + "\n", + "$MSE_list[[18]][[74]]\n", + "[1] 5.839517\n", + "\n", + "$MSE_list[[18]][[75]]\n", + "[1] 1.714863\n", + "\n", + "$MSE_list[[18]][[76]]\n", + "[1] 0.8838247\n", + "\n", + "$MSE_list[[18]][[77]]\n", + "[1] 3.258819\n", + "\n", + "$MSE_list[[18]][[78]]\n", + "[1] 2.057209\n", + "\n", + "$MSE_list[[18]][[79]]\n", + "[1] 4.201602\n", + "\n", + "$MSE_list[[18]][[80]]\n", + "[1] 5.872369\n", + "\n", + "$MSE_list[[18]][[81]]\n", + "[1] 3.268991\n", + "\n", + "$MSE_list[[18]][[82]]\n", + "[1] 3.936349\n", + "\n", + "$MSE_list[[18]][[83]]\n", + "[1] 7.811359\n", + "\n", + "$MSE_list[[18]][[84]]\n", + "[1] 8.702058\n", + "\n", + "$MSE_list[[18]][[85]]\n", + "[1] 2.244235\n", + "\n", + "$MSE_list[[18]][[86]]\n", + "[1] 3.096782\n", + "\n", + "$MSE_list[[18]][[87]]\n", + "[1] 2.200116\n", + "\n", + "$MSE_list[[18]][[88]]\n", + "[1] 3.440155\n", + "\n", + "$MSE_list[[18]][[89]]\n", + "[1] 6.243903\n", + "\n", + "$MSE_list[[18]][[90]]\n", + "[1] 1.890934\n", + "\n", + "$MSE_list[[18]][[91]]\n", + "[1] 6.278998\n", + "\n", + "$MSE_list[[18]][[92]]\n", + "[1] 3.506088\n", + "\n", + "$MSE_list[[18]][[93]]\n", + "[1] 0.8102728\n", + "\n", + "$MSE_list[[18]][[94]]\n", + "[1] 5.196988\n", + "\n", + "$MSE_list[[18]][[95]]\n", + "[1] 2.852816\n", + "\n", + "$MSE_list[[18]][[96]]\n", + "[1] 3.46193\n", + "\n", + "$MSE_list[[18]][[97]]\n", + "[1] 8.039633\n", + "\n", + "$MSE_list[[18]][[98]]\n", + "[1] 1.092542\n", + "\n", + "$MSE_list[[18]][[99]]\n", + "[1] 1.443887\n", + "\n", + "$MSE_list[[18]][[100]]\n", + "[1] 1.632847\n", + "\n", + "\n", + "$MSE_list[[19]]\n", + "$MSE_list[[19]][[1]]\n", + "[1] 6.98474\n", + "\n", + "$MSE_list[[19]][[2]]\n", + "[1] 1.890656\n", + "\n", + "$MSE_list[[19]][[3]]\n", + "[1] 4.152148\n", + "\n", + "$MSE_list[[19]][[4]]\n", + "[1] 3.296015\n", + "\n", + "$MSE_list[[19]][[5]]\n", + "[1] 7.247931\n", + "\n", + "$MSE_list[[19]][[6]]\n", + "[1] 8.6917\n", + "\n", + "$MSE_list[[19]][[7]]\n", + "[1] 4.934283\n", + "\n", + "$MSE_list[[19]][[8]]\n", + "[1] 1.287582\n", + "\n", + "$MSE_list[[19]][[9]]\n", + "[1] 7.969068\n", + "\n", + "$MSE_list[[19]][[10]]\n", + "[1] 7.905808\n", + "\n", + "$MSE_list[[19]][[11]]\n", + "[1] 1.179899\n", + "\n", + "$MSE_list[[19]][[12]]\n", + "[1] 3.285926\n", + "\n", + "$MSE_list[[19]][[13]]\n", + "[1] 5.47369\n", + "\n", + "$MSE_list[[19]][[14]]\n", + "[1] 5.473582\n", + "\n", + "$MSE_list[[19]][[15]]\n", + "[1] 1.279914\n", + "\n", + "$MSE_list[[19]][[16]]\n", + "[1] 5.400348\n", + "\n", + "$MSE_list[[19]][[17]]\n", + "[1] 3.767712\n", + "\n", + "$MSE_list[[19]][[18]]\n", + "[1] 3.671376\n", + "\n", + "$MSE_list[[19]][[19]]\n", + "[1] 2.479964\n", + "\n", + "$MSE_list[[19]][[20]]\n", + "[1] 2.649727\n", + "\n", + "$MSE_list[[19]][[21]]\n", + "[1] 2.627931\n", + "\n", + "$MSE_list[[19]][[22]]\n", + "[1] 4.704447\n", + "\n", + "$MSE_list[[19]][[23]]\n", + "[1] 1.821033\n", + "\n", + "$MSE_list[[19]][[24]]\n", + "[1] 5.167147\n", + "\n", + "$MSE_list[[19]][[25]]\n", + "[1] 5.087045\n", + "\n", + "$MSE_list[[19]][[26]]\n", + "[1] 5.679282\n", + "\n", + "$MSE_list[[19]][[27]]\n", + "[1] 4.348137\n", + "\n", + "$MSE_list[[19]][[28]]\n", + "[1] 6.451891\n", + "\n", + "$MSE_list[[19]][[29]]\n", + "[1] 1.68144\n", + "\n", + "$MSE_list[[19]][[30]]\n", + "[1] 2.028227\n", + "\n", + "$MSE_list[[19]][[31]]\n", + "[1] 8.812188\n", + "\n", + "$MSE_list[[19]][[32]]\n", + "[1] 4.480625\n", + "\n", + "$MSE_list[[19]][[33]]\n", + "[1] 2.904795\n", + "\n", + "$MSE_list[[19]][[34]]\n", + "[1] 6.046126\n", + "\n", + "$MSE_list[[19]][[35]]\n", + "[1] 3.863229\n", + "\n", + "$MSE_list[[19]][[36]]\n", + "[1] 5.123594\n", + "\n", + "$MSE_list[[19]][[37]]\n", + "[1] 7.028541\n", + "\n", + "$MSE_list[[19]][[38]]\n", + "[1] 3.506498\n", + "\n", + "$MSE_list[[19]][[39]]\n", + "[1] 8.159721\n", + "\n", + "$MSE_list[[19]][[40]]\n", + "[1] 9.288048\n", + "\n", + "$MSE_list[[19]][[41]]\n", + "[1] 1.580808\n", + "\n", + "$MSE_list[[19]][[42]]\n", + "[1] 2.147344\n", + "\n", + "$MSE_list[[19]][[43]]\n", + "[1] 6.130768\n", + "\n", + "$MSE_list[[19]][[44]]\n", + "[1] 7.295746\n", + "\n", + "$MSE_list[[19]][[45]]\n", + "[1] 4.727862\n", + "\n", + "$MSE_list[[19]][[46]]\n", + "[1] 0.4739021\n", + "\n", + "$MSE_list[[19]][[47]]\n", + "[1] 1.284251\n", + "\n", + "$MSE_list[[19]][[48]]\n", + "[1] 5.108306\n", + "\n", + "$MSE_list[[19]][[49]]\n", + "[1] 3.415217\n", + "\n", + "$MSE_list[[19]][[50]]\n", + "[1] 3.5438\n", + "\n", + "$MSE_list[[19]][[51]]\n", + "[1] 4.239968\n", + "\n", + "$MSE_list[[19]][[52]]\n", + "[1] 7.703602\n", + "\n", + "$MSE_list[[19]][[53]]\n", + "[1] 2.110954\n", + "\n", + "$MSE_list[[19]][[54]]\n", + "[1] 3.159444\n", + "\n", + "$MSE_list[[19]][[55]]\n", + "[1] 3.887881\n", + "\n", + "$MSE_list[[19]][[56]]\n", + "[1] 3.233943\n", + "\n", + "$MSE_list[[19]][[57]]\n", + "[1] 1.247953\n", + "\n", + "$MSE_list[[19]][[58]]\n", + "[1] 4.670541\n", + "\n", + "$MSE_list[[19]][[59]]\n", + "[1] 1.198794\n", + "\n", + "$MSE_list[[19]][[60]]\n", + "[1] 2.640861\n", + "\n", + "$MSE_list[[19]][[61]]\n", + "[1] 1.264226\n", + "\n", + "$MSE_list[[19]][[62]]\n", + "[1] 3.210054\n", + "\n", + "$MSE_list[[19]][[63]]\n", + "[1] 3.690285\n", + "\n", + "$MSE_list[[19]][[64]]\n", + "[1] 4.794948\n", + "\n", + "$MSE_list[[19]][[65]]\n", + "[1] 3.217875\n", + "\n", + "$MSE_list[[19]][[66]]\n", + "[1] 1.969893\n", + "\n", + "$MSE_list[[19]][[67]]\n", + "[1] 3.105355\n", + "\n", + "$MSE_list[[19]][[68]]\n", + "[1] 1.291992\n", + "\n", + "$MSE_list[[19]][[69]]\n", + "[1] 2.911598\n", + "\n", + "$MSE_list[[19]][[70]]\n", + "[1] 1.741757\n", + "\n", + "$MSE_list[[19]][[71]]\n", + "[1] 2.655224\n", + "\n", + "$MSE_list[[19]][[72]]\n", + "[1] 2.733527\n", + "\n", + "$MSE_list[[19]][[73]]\n", + "[1] 2.143071\n", + "\n", + "$MSE_list[[19]][[74]]\n", + "[1] 3.164179\n", + "\n", + "$MSE_list[[19]][[75]]\n", + "[1] 3.284842\n", + "\n", + "$MSE_list[[19]][[76]]\n", + "[1] 4.67209\n", + "\n", + "$MSE_list[[19]][[77]]\n", + "[1] 3.273812\n", + "\n", + "$MSE_list[[19]][[78]]\n", + "[1] 4.245875\n", + "\n", + "$MSE_list[[19]][[79]]\n", + "[1] 7.645326\n", + "\n", + "$MSE_list[[19]][[80]]\n", + "[1] 5.076104\n", + "\n", + "$MSE_list[[19]][[81]]\n", + "[1] 4.242336\n", + "\n", + "$MSE_list[[19]][[82]]\n", + "[1] 2.615684\n", + "\n", + "$MSE_list[[19]][[83]]\n", + "[1] 3.732852\n", + "\n", + "$MSE_list[[19]][[84]]\n", + "[1] 4.268371\n", + "\n", + "$MSE_list[[19]][[85]]\n", + "[1] 4.39851\n", + "\n", + "$MSE_list[[19]][[86]]\n", + "[1] 3.76876\n", + "\n", + "$MSE_list[[19]][[87]]\n", + "[1] 1.820674\n", + "\n", + "$MSE_list[[19]][[88]]\n", + "[1] 5.332533\n", + "\n", + "$MSE_list[[19]][[89]]\n", + "[1] 1.268062\n", + "\n", + "$MSE_list[[19]][[90]]\n", + "[1] 6.06946\n", + "\n", + "$MSE_list[[19]][[91]]\n", + "[1] 1.708116\n", + "\n", + "$MSE_list[[19]][[92]]\n", + "[1] 6.283429\n", + "\n", + "$MSE_list[[19]][[93]]\n", + "[1] 1.552745\n", + "\n", + "$MSE_list[[19]][[94]]\n", + "[1] 1.887259\n", + "\n", + "$MSE_list[[19]][[95]]\n", + "[1] 1.403838\n", + "\n", + "$MSE_list[[19]][[96]]\n", + "[1] 6.03142\n", + "\n", + "$MSE_list[[19]][[97]]\n", + "[1] 5.14867\n", + "\n", + "$MSE_list[[19]][[98]]\n", + "[1] 6.535065\n", + "\n", + "$MSE_list[[19]][[99]]\n", + "[1] 8.120871\n", + "\n", + "$MSE_list[[19]][[100]]\n", + "[1] 5.232007\n", + "\n", + "\n", + "$MSE_list[[20]]\n", + "$MSE_list[[20]][[1]]\n", + "[1] 3.695849\n", + "\n", + "$MSE_list[[20]][[2]]\n", + "[1] 2.496998\n", + "\n", + "$MSE_list[[20]][[3]]\n", + "[1] 2.008405\n", + "\n", + "$MSE_list[[20]][[4]]\n", + "[1] 1.08072\n", + "\n", + "$MSE_list[[20]][[5]]\n", + "[1] 1.841839\n", + "\n", + "$MSE_list[[20]][[6]]\n", + "[1] 2.617779\n", + "\n", + "$MSE_list[[20]][[7]]\n", + "[1] 5.196218\n", + "\n", + "$MSE_list[[20]][[8]]\n", + "[1] 2.511233\n", + "\n", + "$MSE_list[[20]][[9]]\n", + "[1] 3.081389\n", + "\n", + "$MSE_list[[20]][[10]]\n", + "[1] 6.433072\n", + "\n", + "$MSE_list[[20]][[11]]\n", + "[1] 0.9062956\n", + "\n", + "$MSE_list[[20]][[12]]\n", + "[1] 4.323259\n", + "\n", + "$MSE_list[[20]][[13]]\n", + "[1] 4.713951\n", + "\n", + "$MSE_list[[20]][[14]]\n", + "[1] 1.565674\n", + "\n", + "$MSE_list[[20]][[15]]\n", + "[1] 1.828485\n", + "\n", + "$MSE_list[[20]][[16]]\n", + "[1] 2.83978\n", + "\n", + "$MSE_list[[20]][[17]]\n", + "[1] 5.017171\n", + "\n", + "$MSE_list[[20]][[18]]\n", + "[1] 0.9875133\n", + "\n", + "$MSE_list[[20]][[19]]\n", + "[1] 1.930141\n", + "\n", + "$MSE_list[[20]][[20]]\n", + "[1] 3.800638\n", + "\n", + "$MSE_list[[20]][[21]]\n", + "[1] 6.486668\n", + "\n", + "$MSE_list[[20]][[22]]\n", + "[1] 0.5942326\n", + "\n", + "$MSE_list[[20]][[23]]\n", + "[1] 2.53152\n", + "\n", + "$MSE_list[[20]][[24]]\n", + "[1] 2.870234\n", + "\n", + "$MSE_list[[20]][[25]]\n", + "[1] 3.384001\n", + "\n", + "$MSE_list[[20]][[26]]\n", + "[1] 3.47569\n", + "\n", + "$MSE_list[[20]][[27]]\n", + "[1] 2.3437\n", + "\n", + "$MSE_list[[20]][[28]]\n", + "[1] 1.165815\n", + "\n", + "$MSE_list[[20]][[29]]\n", + "[1] 1.265461\n", + "\n", + "$MSE_list[[20]][[30]]\n", + "[1] 1.906624\n", + "\n", + "$MSE_list[[20]][[31]]\n", + "[1] 4.184915\n", + "\n", + "$MSE_list[[20]][[32]]\n", + "[1] 2.755943\n", + "\n", + "$MSE_list[[20]][[33]]\n", + "[1] 2.147841\n", + "\n", + "$MSE_list[[20]][[34]]\n", + "[1] 4.030543\n", + "\n", + "$MSE_list[[20]][[35]]\n", + "[1] 2.766219\n", + "\n", + "$MSE_list[[20]][[36]]\n", + "[1] 3.942954\n", + "\n", + "$MSE_list[[20]][[37]]\n", + "[1] 6.14226\n", + "\n", + "$MSE_list[[20]][[38]]\n", + "[1] 4.238566\n", + "\n", + "$MSE_list[[20]][[39]]\n", + "[1] 3.401551\n", + "\n", + "$MSE_list[[20]][[40]]\n", + "[1] 1.78841\n", + "\n", + "$MSE_list[[20]][[41]]\n", + "[1] 2.170735\n", + "\n", + "$MSE_list[[20]][[42]]\n", + "[1] 2.324655\n", + "\n", + "$MSE_list[[20]][[43]]\n", + "[1] 2.178998\n", + "\n", + "$MSE_list[[20]][[44]]\n", + "[1] 6.896294\n", + "\n", + "$MSE_list[[20]][[45]]\n", + "[1] 4.52911\n", + "\n", + "$MSE_list[[20]][[46]]\n", + "[1] 3.6123\n", + "\n", + "$MSE_list[[20]][[47]]\n", + "[1] 2.592372\n", + "\n", + "$MSE_list[[20]][[48]]\n", + "[1] 1.969146\n", + "\n", + "$MSE_list[[20]][[49]]\n", + "[1] 2.278401\n", + "\n", + "$MSE_list[[20]][[50]]\n", + "[1] 3.604423\n", + "\n", + "$MSE_list[[20]][[51]]\n", + "[1] 3.065578\n", + "\n", + "$MSE_list[[20]][[52]]\n", + "[1] 5.794089\n", + "\n", + "$MSE_list[[20]][[53]]\n", + "[1] 1.155302\n", + "\n", + "$MSE_list[[20]][[54]]\n", + "[1] 2.231192\n", + "\n", + "$MSE_list[[20]][[55]]\n", + "[1] 5.786222\n", + "\n", + "$MSE_list[[20]][[56]]\n", + "[1] 5.626971\n", + "\n", + "$MSE_list[[20]][[57]]\n", + "[1] 2.365545\n", + "\n", + "$MSE_list[[20]][[58]]\n", + "[1] 2.572579\n", + "\n", + "$MSE_list[[20]][[59]]\n", + "[1] 4.394127\n", + "\n", + "$MSE_list[[20]][[60]]\n", + "[1] 2.463923\n", + "\n", + "$MSE_list[[20]][[61]]\n", + "[1] 5.625856\n", + "\n", + "$MSE_list[[20]][[62]]\n", + "[1] 2.366932\n", + "\n", + "$MSE_list[[20]][[63]]\n", + "[1] 4.305307\n", + "\n", + "$MSE_list[[20]][[64]]\n", + "[1] 1.398835\n", + "\n", + "$MSE_list[[20]][[65]]\n", + "[1] 1.251181\n", + "\n", + "$MSE_list[[20]][[66]]\n", + "[1] 1.591812\n", + "\n", + "$MSE_list[[20]][[67]]\n", + "[1] 3.110868\n", + "\n", + "$MSE_list[[20]][[68]]\n", + "[1] 4.957751\n", + "\n", + "$MSE_list[[20]][[69]]\n", + "[1] 2.49049\n", + "\n", + "$MSE_list[[20]][[70]]\n", + "[1] 1.906996\n", + "\n", + "$MSE_list[[20]][[71]]\n", + "[1] 6.839064\n", + "\n", + "$MSE_list[[20]][[72]]\n", + "[1] 3.548889\n", + "\n", + "$MSE_list[[20]][[73]]\n", + "[1] 3.269263\n", + "\n", + "$MSE_list[[20]][[74]]\n", + "[1] 3.575615\n", + "\n", + "$MSE_list[[20]][[75]]\n", + "[1] 3.563033\n", + "\n", + "$MSE_list[[20]][[76]]\n", + "[1] 2.295506\n", + "\n", + "$MSE_list[[20]][[77]]\n", + "[1] 3.225189\n", + "\n", + "$MSE_list[[20]][[78]]\n", + "[1] 3.364209\n", + "\n", + "$MSE_list[[20]][[79]]\n", + "[1] 6.48172\n", + "\n", + "$MSE_list[[20]][[80]]\n", + "[1] 4.270682\n", + "\n", + "$MSE_list[[20]][[81]]\n", + "[1] 3.856784\n", + "\n", + "$MSE_list[[20]][[82]]\n", + "[1] 2.015835\n", + "\n", + "$MSE_list[[20]][[83]]\n", + "[1] 1.256131\n", + "\n", + "$MSE_list[[20]][[84]]\n", + "[1] 2.511315\n", + "\n", + "$MSE_list[[20]][[85]]\n", + "[1] 3.793787\n", + "\n", + "$MSE_list[[20]][[86]]\n", + "[1] 2.465571\n", + "\n", + "$MSE_list[[20]][[87]]\n", + "[1] 2.027076\n", + "\n", + "$MSE_list[[20]][[88]]\n", + "[1] 5.573171\n", + "\n", + "$MSE_list[[20]][[89]]\n", + "[1] 2.701029\n", + "\n", + "$MSE_list[[20]][[90]]\n", + "[1] 5.556808\n", + "\n", + "$MSE_list[[20]][[91]]\n", + "[1] 3.656596\n", + "\n", + "$MSE_list[[20]][[92]]\n", + "[1] 5.849284\n", + "\n", + "$MSE_list[[20]][[93]]\n", + "[1] 2.815876\n", + "\n", + "$MSE_list[[20]][[94]]\n", + "[1] 1.181787\n", + "\n", + "$MSE_list[[20]][[95]]\n", + "[1] 2.721735\n", + "\n", + "$MSE_list[[20]][[96]]\n", + "[1] 2.489856\n", + "\n", + "$MSE_list[[20]][[97]]\n", + "[1] 4.491533\n", + "\n", + "$MSE_list[[20]][[98]]\n", + "[1] 3.426279\n", + "\n", + "$MSE_list[[20]][[99]]\n", + "[1] 1.36452\n", + "\n", + "$MSE_list[[20]][[100]]\n", + "[1] 2.62232\n", + "\n", + "\n", + "$MSE_list[[21]]\n", + "$MSE_list[[21]][[1]]\n", + "[1] 6.364889\n", + "\n", + "$MSE_list[[21]][[2]]\n", + "[1] 4.943346\n", + "\n", + "$MSE_list[[21]][[3]]\n", + "[1] 3.983899\n", + "\n", + "$MSE_list[[21]][[4]]\n", + "[1] 9.256322\n", + "\n", + "$MSE_list[[21]][[5]]\n", + "[1] 5.120638\n", + "\n", + "$MSE_list[[21]][[6]]\n", + "[1] 6.237869\n", + "\n", + "$MSE_list[[21]][[7]]\n", + "[1] 0.7018412\n", + "\n", + "$MSE_list[[21]][[8]]\n", + "[1] 5.675595\n", + "\n", + "$MSE_list[[21]][[9]]\n", + "[1] 3.494342\n", + "\n", + "$MSE_list[[21]][[10]]\n", + "[1] 5.418226\n", + "\n", + "$MSE_list[[21]][[11]]\n", + "[1] 8.305718\n", + "\n", + "$MSE_list[[21]][[12]]\n", + "[1] 10.74777\n", + "\n", + "$MSE_list[[21]][[13]]\n", + "[1] 2.550138\n", + "\n", + "$MSE_list[[21]][[14]]\n", + "[1] 6.341719\n", + "\n", + "$MSE_list[[21]][[15]]\n", + "[1] 6.632292\n", + "\n", + "$MSE_list[[21]][[16]]\n", + "[1] 7.046247\n", + "\n", + "$MSE_list[[21]][[17]]\n", + "[1] 1.675433\n", + "\n", + "$MSE_list[[21]][[18]]\n", + "[1] 4.700618\n", + "\n", + "$MSE_list[[21]][[19]]\n", + "[1] 2.695549\n", + "\n", + "$MSE_list[[21]][[20]]\n", + "[1] 5.390752\n", + "\n", + "$MSE_list[[21]][[21]]\n", + "[1] 2.035776\n", + "\n", + "$MSE_list[[21]][[22]]\n", + "[1] 2.271419\n", + "\n", + "$MSE_list[[21]][[23]]\n", + "[1] 4.81838\n", + "\n", + "$MSE_list[[21]][[24]]\n", + "[1] 8.255459\n", + "\n", + "$MSE_list[[21]][[25]]\n", + "[1] 3.167716\n", + "\n", + "$MSE_list[[21]][[26]]\n", + "[1] 5.789752\n", + "\n", + "$MSE_list[[21]][[27]]\n", + "[1] 5.496179\n", + "\n", + "$MSE_list[[21]][[28]]\n", + "[1] 1.198648\n", + "\n", + "$MSE_list[[21]][[29]]\n", + "[1] 1.694799\n", + "\n", + "$MSE_list[[21]][[30]]\n", + "[1] 2.848462\n", + "\n", + "$MSE_list[[21]][[31]]\n", + "[1] 7.258006\n", + "\n", + "$MSE_list[[21]][[32]]\n", + "[1] 6.752578\n", + "\n", + "$MSE_list[[21]][[33]]\n", + "[1] 3.457777\n", + "\n", + "$MSE_list[[21]][[34]]\n", + "[1] 2.693966\n", + "\n", + "$MSE_list[[21]][[35]]\n", + "[1] 4.302928\n", + "\n", + "$MSE_list[[21]][[36]]\n", + "[1] 2.674359\n", + "\n", + "$MSE_list[[21]][[37]]\n", + "[1] 2.663204\n", + "\n", + "$MSE_list[[21]][[38]]\n", + "[1] 5.471297\n", + "\n", + "$MSE_list[[21]][[39]]\n", + "[1] 2.362358\n", + "\n", + "$MSE_list[[21]][[40]]\n", + "[1] 7.103619\n", + "\n", + "$MSE_list[[21]][[41]]\n", + "[1] 6.562554\n", + "\n", + "$MSE_list[[21]][[42]]\n", + "[1] 5.984461\n", + "\n", + "$MSE_list[[21]][[43]]\n", + "[1] 1.847052\n", + "\n", + "$MSE_list[[21]][[44]]\n", + "[1] 1.638879\n", + "\n", + "$MSE_list[[21]][[45]]\n", + "[1] 8.287555\n", + "\n", + "$MSE_list[[21]][[46]]\n", + "[1] 9.405836\n", + "\n", + "$MSE_list[[21]][[47]]\n", + "[1] 2.168013\n", + "\n", + "$MSE_list[[21]][[48]]\n", + "[1] 7.189057\n", + "\n", + "$MSE_list[[21]][[49]]\n", + "[1] 1.859834\n", + "\n", + "$MSE_list[[21]][[50]]\n", + "[1] 2.663165\n", + "\n", + "$MSE_list[[21]][[51]]\n", + "[1] 6.330357\n", + "\n", + "$MSE_list[[21]][[52]]\n", + "[1] 2.660509\n", + "\n", + "$MSE_list[[21]][[53]]\n", + "[1] 2.409245\n", + "\n", + "$MSE_list[[21]][[54]]\n", + "[1] 4.794608\n", + "\n", + "$MSE_list[[21]][[55]]\n", + "[1] 2.881408\n", + "\n", + "$MSE_list[[21]][[56]]\n", + "[1] 2.818392\n", + "\n", + "$MSE_list[[21]][[57]]\n", + "[1] 2.463457\n", + "\n", + "$MSE_list[[21]][[58]]\n", + "[1] 3.359765\n", + "\n", + "$MSE_list[[21]][[59]]\n", + "[1] 5.927301\n", + "\n", + "$MSE_list[[21]][[60]]\n", + "[1] 6.909199\n", + "\n", + "$MSE_list[[21]][[61]]\n", + "[1] 5.064062\n", + "\n", + "$MSE_list[[21]][[62]]\n", + "[1] 3.109965\n", + "\n", + "$MSE_list[[21]][[63]]\n", + "[1] 6.00158\n", + "\n", + "$MSE_list[[21]][[64]]\n", + "[1] 6.42997\n", + "\n", + "$MSE_list[[21]][[65]]\n", + "[1] 3.498588\n", + "\n", + "$MSE_list[[21]][[66]]\n", + "[1] 7.078641\n", + "\n", + "$MSE_list[[21]][[67]]\n", + "[1] 1.869468\n", + "\n", + "$MSE_list[[21]][[68]]\n", + "[1] 2.047693\n", + "\n", + "$MSE_list[[21]][[69]]\n", + "[1] 2.911385\n", + "\n", + "$MSE_list[[21]][[70]]\n", + "[1] 7.79602\n", + "\n", + "$MSE_list[[21]][[71]]\n", + "[1] 1.692759\n", + "\n", + "$MSE_list[[21]][[72]]\n", + "[1] 3.416982\n", + "\n", + "$MSE_list[[21]][[73]]\n", + "[1] 4.957539\n", + "\n", + "$MSE_list[[21]][[74]]\n", + "[1] 5.13399\n", + "\n", + "$MSE_list[[21]][[75]]\n", + "[1] 3.844885\n", + "\n", + "$MSE_list[[21]][[76]]\n", + "[1] 5.390337\n", + "\n", + "$MSE_list[[21]][[77]]\n", + "[1] 4.667285\n", + "\n", + "$MSE_list[[21]][[78]]\n", + "[1] 3.595031\n", + "\n", + "$MSE_list[[21]][[79]]\n", + "[1] 2.998934\n", + "\n", + "$MSE_list[[21]][[80]]\n", + "[1] 2.408518\n", + "\n", + "$MSE_list[[21]][[81]]\n", + "[1] 6.726781\n", + "\n", + "$MSE_list[[21]][[82]]\n", + "[1] 5.468455\n", + "\n", + "$MSE_list[[21]][[83]]\n", + "[1] 3.863221\n", + "\n", + "$MSE_list[[21]][[84]]\n", + "[1] 2.513128\n", + "\n", + "$MSE_list[[21]][[85]]\n", + "[1] 1.987367\n", + "\n", + "$MSE_list[[21]][[86]]\n", + "[1] 5.044262\n", + "\n", + "$MSE_list[[21]][[87]]\n", + "[1] 3.889754\n", + "\n", + "$MSE_list[[21]][[88]]\n", + "[1] 2.191188\n", + "\n", + "$MSE_list[[21]][[89]]\n", + "[1] 6.970812\n", + "\n", + "$MSE_list[[21]][[90]]\n", + "[1] 2.647101\n", + "\n", + "$MSE_list[[21]][[91]]\n", + "[1] 3.428466\n", + "\n", + "$MSE_list[[21]][[92]]\n", + "[1] 4.662539\n", + "\n", + "$MSE_list[[21]][[93]]\n", + "[1] 1.474089\n", + "\n", + "$MSE_list[[21]][[94]]\n", + "[1] 6.867592\n", + "\n", + "$MSE_list[[21]][[95]]\n", + "[1] 5.416229\n", + "\n", + "$MSE_list[[21]][[96]]\n", + "[1] 3.564862\n", + "\n", + "$MSE_list[[21]][[97]]\n", + "[1] 3.570912\n", + "\n", + "$MSE_list[[21]][[98]]\n", + "[1] 5.053678\n", + "\n", + "$MSE_list[[21]][[99]]\n", + "[1] 4.208242\n", + "\n", + "$MSE_list[[21]][[100]]\n", + "[1] 7.003405\n", + "\n", + "\n", + "$MSE_list[[22]]\n", + "$MSE_list[[22]][[1]]\n", + "[1] 5.327335\n", + "\n", + "$MSE_list[[22]][[2]]\n", + "[1] 3.982226\n", + "\n", + "$MSE_list[[22]][[3]]\n", + "[1] 7.159137\n", + "\n", + "$MSE_list[[22]][[4]]\n", + "[1] 5.003219\n", + "\n", + "$MSE_list[[22]][[5]]\n", + "[1] 2.086792\n", + "\n", + "$MSE_list[[22]][[6]]\n", + "[1] 2.771964\n", + "\n", + "$MSE_list[[22]][[7]]\n", + "[1] 2.49991\n", + "\n", + "$MSE_list[[22]][[8]]\n", + "[1] 4.577482\n", + "\n", + "$MSE_list[[22]][[9]]\n", + "[1] 3.844847\n", + "\n", + "$MSE_list[[22]][[10]]\n", + "[1] 6.720121\n", + "\n", + "$MSE_list[[22]][[11]]\n", + "[1] 6.634329\n", + "\n", + "$MSE_list[[22]][[12]]\n", + "[1] 8.065428\n", + "\n", + "$MSE_list[[22]][[13]]\n", + "[1] 6.76446\n", + "\n", + "$MSE_list[[22]][[14]]\n", + "[1] 4.429993\n", + "\n", + "$MSE_list[[22]][[15]]\n", + "[1] 6.767061\n", + "\n", + "$MSE_list[[22]][[16]]\n", + "[1] 5.224533\n", + "\n", + "$MSE_list[[22]][[17]]\n", + "[1] 6.749233\n", + "\n", + "$MSE_list[[22]][[18]]\n", + "[1] 1.398556\n", + "\n", + "$MSE_list[[22]][[19]]\n", + "[1] 4.725491\n", + "\n", + "$MSE_list[[22]][[20]]\n", + "[1] 3.118022\n", + "\n", + "$MSE_list[[22]][[21]]\n", + "[1] 6.099084\n", + "\n", + "$MSE_list[[22]][[22]]\n", + "[1] 3.863714\n", + "\n", + "$MSE_list[[22]][[23]]\n", + "[1] 9.018061\n", + "\n", + "$MSE_list[[22]][[24]]\n", + "[1] 7.869436\n", + "\n", + "$MSE_list[[22]][[25]]\n", + "[1] 6.533988\n", + "\n", + "$MSE_list[[22]][[26]]\n", + "[1] 7.76871\n", + "\n", + "$MSE_list[[22]][[27]]\n", + "[1] 4.158307\n", + "\n", + "$MSE_list[[22]][[28]]\n", + "[1] 4.420475\n", + "\n", + "$MSE_list[[22]][[29]]\n", + "[1] 3.428629\n", + "\n", + "$MSE_list[[22]][[30]]\n", + "[1] 4.577854\n", + "\n", + "$MSE_list[[22]][[31]]\n", + "[1] 4.461467\n", + "\n", + "$MSE_list[[22]][[32]]\n", + "[1] 5.135943\n", + "\n", + "$MSE_list[[22]][[33]]\n", + "[1] 2.762964\n", + "\n", + "$MSE_list[[22]][[34]]\n", + "[1] 5.780386\n", + "\n", + "$MSE_list[[22]][[35]]\n", + "[1] 4.105107\n", + "\n", + "$MSE_list[[22]][[36]]\n", + "[1] 5.4361\n", + "\n", + "$MSE_list[[22]][[37]]\n", + "[1] 7.10097\n", + "\n", + "$MSE_list[[22]][[38]]\n", + "[1] 9.369258\n", + "\n", + "$MSE_list[[22]][[39]]\n", + "[1] 2.503135\n", + "\n", + "$MSE_list[[22]][[40]]\n", + "[1] 2.605513\n", + "\n", + "$MSE_list[[22]][[41]]\n", + "[1] 5.822727\n", + "\n", + "$MSE_list[[22]][[42]]\n", + "[1] 3.040861\n", + "\n", + "$MSE_list[[22]][[43]]\n", + "[1] 2.180989\n", + "\n", + "$MSE_list[[22]][[44]]\n", + "[1] 3.88222\n", + "\n", + "$MSE_list[[22]][[45]]\n", + "[1] 7.81184\n", + "\n", + "$MSE_list[[22]][[46]]\n", + "[1] 5.901836\n", + "\n", + "$MSE_list[[22]][[47]]\n", + "[1] 2.8736\n", + "\n", + "$MSE_list[[22]][[48]]\n", + "[1] 7.054181\n", + "\n", + "$MSE_list[[22]][[49]]\n", + "[1] 4.4824\n", + "\n", + "$MSE_list[[22]][[50]]\n", + "[1] 4.092264\n", + "\n", + "$MSE_list[[22]][[51]]\n", + "[1] 3.105542\n", + "\n", + "$MSE_list[[22]][[52]]\n", + "[1] 4.147057\n", + "\n", + "$MSE_list[[22]][[53]]\n", + "[1] 7.015114\n", + "\n", + "$MSE_list[[22]][[54]]\n", + "[1] 8.634557\n", + "\n", + "$MSE_list[[22]][[55]]\n", + "[1] 6.428475\n", + "\n", + "$MSE_list[[22]][[56]]\n", + "[1] 7.999737\n", + "\n", + "$MSE_list[[22]][[57]]\n", + "[1] 7.488743\n", + "\n", + "$MSE_list[[22]][[58]]\n", + "[1] 2.769108\n", + "\n", + "$MSE_list[[22]][[59]]\n", + "[1] 8.370904\n", + "\n", + "$MSE_list[[22]][[60]]\n", + "[1] 6.577891\n", + "\n", + "$MSE_list[[22]][[61]]\n", + "[1] 5.539007\n", + "\n", + "$MSE_list[[22]][[62]]\n", + "[1] 5.658854\n", + "\n", + "$MSE_list[[22]][[63]]\n", + "[1] 3.348413\n", + "\n", + "$MSE_list[[22]][[64]]\n", + "[1] 4.708911\n", + "\n", + "$MSE_list[[22]][[65]]\n", + "[1] 2.915377\n", + "\n", + "$MSE_list[[22]][[66]]\n", + "[1] 5.820936\n", + "\n", + "$MSE_list[[22]][[67]]\n", + "[1] 4.855223\n", + "\n", + "$MSE_list[[22]][[68]]\n", + "[1] 6.2407\n", + "\n", + "$MSE_list[[22]][[69]]\n", + "[1] 1.331065\n", + "\n", + "$MSE_list[[22]][[70]]\n", + "[1] 5.62054\n", + "\n", + "$MSE_list[[22]][[71]]\n", + "[1] 7.195073\n", + "\n", + "$MSE_list[[22]][[72]]\n", + "[1] 3.359803\n", + "\n", + "$MSE_list[[22]][[73]]\n", + "[1] 4.512626\n", + "\n", + "$MSE_list[[22]][[74]]\n", + "[1] 1.861817\n", + "\n", + "$MSE_list[[22]][[75]]\n", + "[1] 2.83064\n", + "\n", + "$MSE_list[[22]][[76]]\n", + "[1] 6.225396\n", + "\n", + "$MSE_list[[22]][[77]]\n", + "[1] 5.135418\n", + "\n", + "$MSE_list[[22]][[78]]\n", + "[1] 7.091025\n", + "\n", + "$MSE_list[[22]][[79]]\n", + "[1] 5.390429\n", + "\n", + "$MSE_list[[22]][[80]]\n", + "[1] 7.648678\n", + "\n", + "$MSE_list[[22]][[81]]\n", + "[1] 3.606243\n", + "\n", + "$MSE_list[[22]][[82]]\n", + "[1] 6.368675\n", + "\n", + "$MSE_list[[22]][[83]]\n", + "[1] 9.631263\n", + "\n", + "$MSE_list[[22]][[84]]\n", + "[1] 2.962175\n", + "\n", + "$MSE_list[[22]][[85]]\n", + "[1] 7.316944\n", + "\n", + "$MSE_list[[22]][[86]]\n", + "[1] 2.085027\n", + "\n", + "$MSE_list[[22]][[87]]\n", + "[1] 5.637352\n", + "\n", + "$MSE_list[[22]][[88]]\n", + "[1] 4.599682\n", + "\n", + "$MSE_list[[22]][[89]]\n", + "[1] 4.728656\n", + "\n", + "$MSE_list[[22]][[90]]\n", + "[1] 3.930757\n", + "\n", + "$MSE_list[[22]][[91]]\n", + "[1] 6.893756\n", + "\n", + "$MSE_list[[22]][[92]]\n", + "[1] 7.386095\n", + "\n", + "$MSE_list[[22]][[93]]\n", + "[1] 4.151414\n", + "\n", + "$MSE_list[[22]][[94]]\n", + "[1] 1.033403\n", + "\n", + "$MSE_list[[22]][[95]]\n", + "[1] 4.666824\n", + "\n", + "$MSE_list[[22]][[96]]\n", + "[1] 7.257864\n", + "\n", + "$MSE_list[[22]][[97]]\n", + "[1] 1.247133\n", + "\n", + "$MSE_list[[22]][[98]]\n", + "[1] 9.037934\n", + "\n", + "$MSE_list[[22]][[99]]\n", + "[1] 5.577337\n", + "\n", + "$MSE_list[[22]][[100]]\n", + "[1] 8.551913\n", + "\n", + "\n", + "$MSE_list[[23]]\n", + "$MSE_list[[23]][[1]]\n", + "[1] 4.478497\n", + "\n", + "$MSE_list[[23]][[2]]\n", + "[1] 1.800354\n", + "\n", + "$MSE_list[[23]][[3]]\n", + "[1] 5.10231\n", + "\n", + "$MSE_list[[23]][[4]]\n", + "[1] 2.609177\n", + "\n", + "$MSE_list[[23]][[5]]\n", + "[1] 0.9857009\n", + "\n", + "$MSE_list[[23]][[6]]\n", + "[1] 1.213098\n", + "\n", + "$MSE_list[[23]][[7]]\n", + "[1] 3.705758\n", + "\n", + "$MSE_list[[23]][[8]]\n", + "[1] 0.7166521\n", + "\n", + "$MSE_list[[23]][[9]]\n", + "[1] 2.408172\n", + "\n", + "$MSE_list[[23]][[10]]\n", + "[1] 4.525423\n", + "\n", + "$MSE_list[[23]][[11]]\n", + "[1] 5.134658\n", + "\n", + "$MSE_list[[23]][[12]]\n", + "[1] 8.69262\n", + "\n", + "$MSE_list[[23]][[13]]\n", + "[1] 4.519197\n", + "\n", + "$MSE_list[[23]][[14]]\n", + "[1] 1.655809\n", + "\n", + "$MSE_list[[23]][[15]]\n", + "[1] 0.9601307\n", + "\n", + "$MSE_list[[23]][[16]]\n", + "[1] 5.898523\n", + "\n", + "$MSE_list[[23]][[17]]\n", + "[1] 1.053056\n", + "\n", + "$MSE_list[[23]][[18]]\n", + "[1] 3.149092\n", + "\n", + "$MSE_list[[23]][[19]]\n", + "[1] 4.499458\n", + "\n", + "$MSE_list[[23]][[20]]\n", + "[1] 1.222066\n", + "\n", + "$MSE_list[[23]][[21]]\n", + "[1] 6.483266\n", + "\n", + "$MSE_list[[23]][[22]]\n", + "[1] 2.453147\n", + "\n", + "$MSE_list[[23]][[23]]\n", + "[1] 1.987859\n", + "\n", + "$MSE_list[[23]][[24]]\n", + "[1] 4.233564\n", + "\n", + "$MSE_list[[23]][[25]]\n", + "[1] 4.456047\n", + "\n", + "$MSE_list[[23]][[26]]\n", + "[1] 0.9834791\n", + "\n", + "$MSE_list[[23]][[27]]\n", + "[1] 2.587864\n", + "\n", + "$MSE_list[[23]][[28]]\n", + "[1] 4.427036\n", + "\n", + "$MSE_list[[23]][[29]]\n", + "[1] 3.48456\n", + "\n", + "$MSE_list[[23]][[30]]\n", + "[1] 2.507679\n", + "\n", + "$MSE_list[[23]][[31]]\n", + "[1] 7.835529\n", + "\n", + "$MSE_list[[23]][[32]]\n", + "[1] 1.558122\n", + "\n", + "$MSE_list[[23]][[33]]\n", + "[1] 0.5881995\n", + "\n", + "$MSE_list[[23]][[34]]\n", + "[1] 3.502482\n", + "\n", + "$MSE_list[[23]][[35]]\n", + "[1] 5.258092\n", + "\n", + "$MSE_list[[23]][[36]]\n", + "[1] 2.893482\n", + "\n", + "$MSE_list[[23]][[37]]\n", + "[1] 2.695436\n", + "\n", + "$MSE_list[[23]][[38]]\n", + "[1] 3.944084\n", + "\n", + "$MSE_list[[23]][[39]]\n", + "[1] 3.289342\n", + "\n", + "$MSE_list[[23]][[40]]\n", + "[1] 1.554885\n", + "\n", + "$MSE_list[[23]][[41]]\n", + "[1] 3.597454\n", + "\n", + "$MSE_list[[23]][[42]]\n", + "[1] 2.069641\n", + "\n", + "$MSE_list[[23]][[43]]\n", + "[1] 4.210715\n", + "\n", + "$MSE_list[[23]][[44]]\n", + "[1] 6.755245\n", + "\n", + "$MSE_list[[23]][[45]]\n", + "[1] 1.976799\n", + "\n", + "$MSE_list[[23]][[46]]\n", + "[1] 2.148183\n", + "\n", + "$MSE_list[[23]][[47]]\n", + "[1] 5.343101\n", + "\n", + "$MSE_list[[23]][[48]]\n", + "[1] 3.065424\n", + "\n", + "$MSE_list[[23]][[49]]\n", + "[1] 2.929343\n", + "\n", + "$MSE_list[[23]][[50]]\n", + "[1] 5.587173\n", + "\n", + "$MSE_list[[23]][[51]]\n", + "[1] 1.809171\n", + "\n", + "$MSE_list[[23]][[52]]\n", + "[1] 4.406218\n", + "\n", + "$MSE_list[[23]][[53]]\n", + "[1] 1.564924\n", + "\n", + "$MSE_list[[23]][[54]]\n", + "[1] 1.350205\n", + "\n", + "$MSE_list[[23]][[55]]\n", + "[1] 3.172916\n", + "\n", + "$MSE_list[[23]][[56]]\n", + "[1] 4.058465\n", + "\n", + "$MSE_list[[23]][[57]]\n", + "[1] 4.095332\n", + "\n", + "$MSE_list[[23]][[58]]\n", + "[1] 1.352982\n", + "\n", + "$MSE_list[[23]][[59]]\n", + "[1] 5.811178\n", + "\n", + "$MSE_list[[23]][[60]]\n", + "[1] 0.7808873\n", + "\n", + "$MSE_list[[23]][[61]]\n", + "[1] 3.120737\n", + "\n", + "$MSE_list[[23]][[62]]\n", + "[1] 1.864985\n", + "\n", + "$MSE_list[[23]][[63]]\n", + "[1] 2.726194\n", + "\n", + "$MSE_list[[23]][[64]]\n", + "[1] 1.815897\n", + "\n", + "$MSE_list[[23]][[65]]\n", + "[1] 2.603586\n", + "\n", + "$MSE_list[[23]][[66]]\n", + "[1] 0.7588831\n", + "\n", + "$MSE_list[[23]][[67]]\n", + "[1] 0.4325518\n", + "\n", + "$MSE_list[[23]][[68]]\n", + "[1] 1.350881\n", + "\n", + "$MSE_list[[23]][[69]]\n", + "[1] 2.509109\n", + "\n", + "$MSE_list[[23]][[70]]\n", + "[1] 1.511779\n", + "\n", + "$MSE_list[[23]][[71]]\n", + "[1] 3.856649\n", + "\n", + "$MSE_list[[23]][[72]]\n", + "[1] 3.538808\n", + "\n", + "$MSE_list[[23]][[73]]\n", + "[1] 2.864448\n", + "\n", + "$MSE_list[[23]][[74]]\n", + "[1] 6.136759\n", + "\n", + "$MSE_list[[23]][[75]]\n", + "[1] 4.474243\n", + "\n", + "$MSE_list[[23]][[76]]\n", + "[1] 3.053664\n", + "\n", + "$MSE_list[[23]][[77]]\n", + "[1] 5.320275\n", + "\n", + "$MSE_list[[23]][[78]]\n", + "[1] 4.632816\n", + "\n", + "$MSE_list[[23]][[79]]\n", + "[1] 1.941231\n", + "\n", + "$MSE_list[[23]][[80]]\n", + "[1] 1.000879\n", + "\n", + "$MSE_list[[23]][[81]]\n", + "[1] 2.44016\n", + "\n", + "$MSE_list[[23]][[82]]\n", + "[1] 3.768835\n", + "\n", + "$MSE_list[[23]][[83]]\n", + "[1] 7.175822\n", + "\n", + "$MSE_list[[23]][[84]]\n", + "[1] 3.714057\n", + "\n", + "$MSE_list[[23]][[85]]\n", + "[1] 3.863794\n", + "\n", + "$MSE_list[[23]][[86]]\n", + "[1] 7.675131\n", + "\n", + "$MSE_list[[23]][[87]]\n", + "[1] 2.414547\n", + "\n", + "$MSE_list[[23]][[88]]\n", + "[1] 5.882316\n", + "\n", + "$MSE_list[[23]][[89]]\n", + "[1] 3.387411\n", + "\n", + "$MSE_list[[23]][[90]]\n", + "[1] 1.836072\n", + "\n", + "$MSE_list[[23]][[91]]\n", + "[1] 1.947829\n", + "\n", + "$MSE_list[[23]][[92]]\n", + "[1] 3.859267\n", + "\n", + "$MSE_list[[23]][[93]]\n", + "[1] 7.624829\n", + "\n", + "$MSE_list[[23]][[94]]\n", + "[1] 1.428892\n", + "\n", + "$MSE_list[[23]][[95]]\n", + "[1] 1.683656\n", + "\n", + "$MSE_list[[23]][[96]]\n", + "[1] 1.580805\n", + "\n", + "$MSE_list[[23]][[97]]\n", + "[1] 3.084714\n", + "\n", + "$MSE_list[[23]][[98]]\n", + "[1] 3.306702\n", + "\n", + "$MSE_list[[23]][[99]]\n", + "[1] 3.023234\n", + "\n", + "$MSE_list[[23]][[100]]\n", + "[1] 7.696267\n", + "\n", + "\n", + "$MSE_list[[24]]\n", + "$MSE_list[[24]][[1]]\n", + "[1] 1.908371\n", + "\n", + "$MSE_list[[24]][[2]]\n", + "[1] 2.737025\n", + "\n", + "$MSE_list[[24]][[3]]\n", + "[1] 3.580554\n", + "\n", + "$MSE_list[[24]][[4]]\n", + "[1] 7.178262\n", + "\n", + "$MSE_list[[24]][[5]]\n", + "[1] 4.519221\n", + "\n", + "$MSE_list[[24]][[6]]\n", + "[1] 0.7090559\n", + "\n", + "$MSE_list[[24]][[7]]\n", + "[1] 5.91129\n", + "\n", + "$MSE_list[[24]][[8]]\n", + "[1] 6.120868\n", + "\n", + "$MSE_list[[24]][[9]]\n", + "[1] 3.982829\n", + "\n", + "$MSE_list[[24]][[10]]\n", + "[1] 1.316402\n", + "\n", + "$MSE_list[[24]][[11]]\n", + "[1] 6.608738\n", + "\n", + "$MSE_list[[24]][[12]]\n", + "[1] 5.378422\n", + "\n", + "$MSE_list[[24]][[13]]\n", + "[1] 1.020229\n", + "\n", + "$MSE_list[[24]][[14]]\n", + "[1] 3.391999\n", + "\n", + "$MSE_list[[24]][[15]]\n", + "[1] 3.476202\n", + "\n", + "$MSE_list[[24]][[16]]\n", + "[1] 7.68054\n", + "\n", + "$MSE_list[[24]][[17]]\n", + "[1] 1.551311\n", + "\n", + "$MSE_list[[24]][[18]]\n", + "[1] 1.902137\n", + "\n", + "$MSE_list[[24]][[19]]\n", + "[1] 1.329196\n", + "\n", + "$MSE_list[[24]][[20]]\n", + "[1] 3.288915\n", + "\n", + "$MSE_list[[24]][[21]]\n", + "[1] 3.950969\n", + "\n", + "$MSE_list[[24]][[22]]\n", + "[1] 6.71284\n", + "\n", + "$MSE_list[[24]][[23]]\n", + "[1] 5.553921\n", + "\n", + "$MSE_list[[24]][[24]]\n", + "[1] 3.0779\n", + "\n", + "$MSE_list[[24]][[25]]\n", + "[1] 2.828338\n", + "\n", + "$MSE_list[[24]][[26]]\n", + "[1] 1.944207\n", + "\n", + "$MSE_list[[24]][[27]]\n", + "[1] 2.52665\n", + "\n", + "$MSE_list[[24]][[28]]\n", + "[1] 3.171377\n", + "\n", + "$MSE_list[[24]][[29]]\n", + "[1] 2.852834\n", + "\n", + "$MSE_list[[24]][[30]]\n", + "[1] 4.929905\n", + "\n", + "$MSE_list[[24]][[31]]\n", + "[1] 1.721534\n", + "\n", + "$MSE_list[[24]][[32]]\n", + "[1] 3.303837\n", + "\n", + "$MSE_list[[24]][[33]]\n", + "[1] 1.146994\n", + "\n", + "$MSE_list[[24]][[34]]\n", + "[1] 2.00482\n", + "\n", + "$MSE_list[[24]][[35]]\n", + "[1] 1.0032\n", + "\n", + "$MSE_list[[24]][[36]]\n", + "[1] 4.767062\n", + "\n", + "$MSE_list[[24]][[37]]\n", + "[1] 1.178533\n", + "\n", + "$MSE_list[[24]][[38]]\n", + "[1] 5.129855\n", + "\n", + "$MSE_list[[24]][[39]]\n", + "[1] 2.377042\n", + "\n", + "$MSE_list[[24]][[40]]\n", + "[1] 1.542403\n", + "\n", + "$MSE_list[[24]][[41]]\n", + "[1] 7.893515\n", + "\n", + "$MSE_list[[24]][[42]]\n", + "[1] 6.12858\n", + "\n", + "$MSE_list[[24]][[43]]\n", + "[1] 6.556693\n", + "\n", + "$MSE_list[[24]][[44]]\n", + "[1] 7.363103\n", + "\n", + "$MSE_list[[24]][[45]]\n", + "[1] 4.326622\n", + "\n", + "$MSE_list[[24]][[46]]\n", + "[1] 1.366446\n", + "\n", + "$MSE_list[[24]][[47]]\n", + "[1] 3.934244\n", + "\n", + "$MSE_list[[24]][[48]]\n", + "[1] 4.451179\n", + "\n", + "$MSE_list[[24]][[49]]\n", + "[1] 5.373305\n", + "\n", + "$MSE_list[[24]][[50]]\n", + "[1] 5.51402\n", + "\n", + "$MSE_list[[24]][[51]]\n", + "[1] 3.863414\n", + "\n", + "$MSE_list[[24]][[52]]\n", + "[1] 4.17498\n", + "\n", + "$MSE_list[[24]][[53]]\n", + "[1] 2.763751\n", + "\n", + "$MSE_list[[24]][[54]]\n", + "[1] 3.016978\n", + "\n", + "$MSE_list[[24]][[55]]\n", + "[1] 5.894733\n", + "\n", + "$MSE_list[[24]][[56]]\n", + "[1] 5.509055\n", + "\n", + "$MSE_list[[24]][[57]]\n", + "[1] 3.454241\n", + "\n", + "$MSE_list[[24]][[58]]\n", + "[1] 1.434506\n", + "\n", + "$MSE_list[[24]][[59]]\n", + "[1] 5.392894\n", + "\n", + "$MSE_list[[24]][[60]]\n", + "[1] 2.868791\n", + "\n", + "$MSE_list[[24]][[61]]\n", + "[1] 9.095359\n", + "\n", + "$MSE_list[[24]][[62]]\n", + "[1] 4.20877\n", + "\n", + "$MSE_list[[24]][[63]]\n", + "[1] 3.121882\n", + "\n", + "$MSE_list[[24]][[64]]\n", + "[1] 5.917257\n", + "\n", + "$MSE_list[[24]][[65]]\n", + "[1] 5.690856\n", + "\n", + "$MSE_list[[24]][[66]]\n", + "[1] 1.209345\n", + "\n", + "$MSE_list[[24]][[67]]\n", + "[1] 2.703913\n", + "\n", + "$MSE_list[[24]][[68]]\n", + "[1] 4.802764\n", + "\n", + "$MSE_list[[24]][[69]]\n", + "[1] 2.213287\n", + "\n", + "$MSE_list[[24]][[70]]\n", + "[1] 2.18357\n", + "\n", + "$MSE_list[[24]][[71]]\n", + "[1] 3.252718\n", + "\n", + "$MSE_list[[24]][[72]]\n", + "[1] 5.44489\n", + "\n", + "$MSE_list[[24]][[73]]\n", + "[1] 2.247308\n", + "\n", + "$MSE_list[[24]][[74]]\n", + "[1] 4.686699\n", + "\n", + "$MSE_list[[24]][[75]]\n", + "[1] 5.564301\n", + "\n", + "$MSE_list[[24]][[76]]\n", + "[1] 1.699123\n", + "\n", + "$MSE_list[[24]][[77]]\n", + "[1] 0.6337986\n", + "\n", + "$MSE_list[[24]][[78]]\n", + "[1] 2.608434\n", + "\n", + "$MSE_list[[24]][[79]]\n", + "[1] 6.071758\n", + "\n", + "$MSE_list[[24]][[80]]\n", + "[1] 1.800906\n", + "\n", + "$MSE_list[[24]][[81]]\n", + "[1] 5.346924\n", + "\n", + "$MSE_list[[24]][[82]]\n", + "[1] 4.651998\n", + "\n", + "$MSE_list[[24]][[83]]\n", + "[1] 4.530134\n", + "\n", + "$MSE_list[[24]][[84]]\n", + "[1] 5.546509\n", + "\n", + "$MSE_list[[24]][[85]]\n", + "[1] 6.539057\n", + "\n", + "$MSE_list[[24]][[86]]\n", + "[1] 1.210254\n", + "\n", + "$MSE_list[[24]][[87]]\n", + "[1] 6.533574\n", + "\n", + "$MSE_list[[24]][[88]]\n", + "[1] 4.520949\n", + "\n", + "$MSE_list[[24]][[89]]\n", + "[1] 3.75594\n", + "\n", + "$MSE_list[[24]][[90]]\n", + "[1] 5.955454\n", + "\n", + "$MSE_list[[24]][[91]]\n", + "[1] 2.405461\n", + "\n", + "$MSE_list[[24]][[92]]\n", + "[1] 3.08492\n", + "\n", + "$MSE_list[[24]][[93]]\n", + "[1] 5.980681\n", + "\n", + "$MSE_list[[24]][[94]]\n", + "[1] 3.091233\n", + "\n", + "$MSE_list[[24]][[95]]\n", + "[1] 5.059624\n", + "\n", + "$MSE_list[[24]][[96]]\n", + "[1] 8.669748\n", + "\n", + "$MSE_list[[24]][[97]]\n", + "[1] 5.999913\n", + "\n", + "$MSE_list[[24]][[98]]\n", + "[1] 4.716899\n", + "\n", + "$MSE_list[[24]][[99]]\n", + "[1] 6.558424\n", + "\n", + "$MSE_list[[24]][[100]]\n", + "[1] 6.798928\n", + "\n", + "\n", + "$MSE_list[[25]]\n", + "$MSE_list[[25]][[1]]\n", + "[1] 7.198837\n", + "\n", + "$MSE_list[[25]][[2]]\n", + "[1] 2.231609\n", + "\n", + "$MSE_list[[25]][[3]]\n", + "[1] 2.775784\n", + "\n", + "$MSE_list[[25]][[4]]\n", + "[1] 4.834742\n", + "\n", + "$MSE_list[[25]][[5]]\n", + "[1] 6.94421\n", + "\n", + "$MSE_list[[25]][[6]]\n", + "[1] 5.482033\n", + "\n", + "$MSE_list[[25]][[7]]\n", + "[1] 4.219422\n", + "\n", + "$MSE_list[[25]][[8]]\n", + "[1] 6.022974\n", + "\n", + "$MSE_list[[25]][[9]]\n", + "[1] 7.071578\n", + "\n", + "$MSE_list[[25]][[10]]\n", + "[1] 1.773432\n", + "\n", + "$MSE_list[[25]][[11]]\n", + "[1] 3.507151\n", + "\n", + "$MSE_list[[25]][[12]]\n", + "[1] 2.073913\n", + "\n", + "$MSE_list[[25]][[13]]\n", + "[1] 2.820408\n", + "\n", + "$MSE_list[[25]][[14]]\n", + "[1] 7.467815\n", + "\n", + "$MSE_list[[25]][[15]]\n", + "[1] 7.713795\n", + "\n", + "$MSE_list[[25]][[16]]\n", + "[1] 2.450286\n", + "\n", + "$MSE_list[[25]][[17]]\n", + "[1] 5.624841\n", + "\n", + "$MSE_list[[25]][[18]]\n", + "[1] 1.951057\n", + "\n", + "$MSE_list[[25]][[19]]\n", + "[1] 3.924753\n", + "\n", + "$MSE_list[[25]][[20]]\n", + "[1] 6.742377\n", + "\n", + "$MSE_list[[25]][[21]]\n", + "[1] 2.554341\n", + "\n", + "$MSE_list[[25]][[22]]\n", + "[1] 1.184329\n", + "\n", + "$MSE_list[[25]][[23]]\n", + "[1] 5.610971\n", + "\n", + "$MSE_list[[25]][[24]]\n", + "[1] 3.686529\n", + "\n", + "$MSE_list[[25]][[25]]\n", + "[1] 11.08408\n", + "\n", + "$MSE_list[[25]][[26]]\n", + "[1] 4.997977\n", + "\n", + "$MSE_list[[25]][[27]]\n", + "[1] 5.218144\n", + "\n", + "$MSE_list[[25]][[28]]\n", + "[1] 6.235833\n", + "\n", + "$MSE_list[[25]][[29]]\n", + "[1] 5.271304\n", + "\n", + "$MSE_list[[25]][[30]]\n", + "[1] 6.961039\n", + "\n", + "$MSE_list[[25]][[31]]\n", + "[1] 10.58887\n", + "\n", + "$MSE_list[[25]][[32]]\n", + "[1] 6.211915\n", + "\n", + "$MSE_list[[25]][[33]]\n", + "[1] 12.68016\n", + "\n", + "$MSE_list[[25]][[34]]\n", + "[1] 7.481255\n", + "\n", + "$MSE_list[[25]][[35]]\n", + "[1] 2.857298\n", + "\n", + "$MSE_list[[25]][[36]]\n", + "[1] 6.77952\n", + "\n", + "$MSE_list[[25]][[37]]\n", + "[1] 5.359252\n", + "\n", + "$MSE_list[[25]][[38]]\n", + "[1] 4.938321\n", + "\n", + "$MSE_list[[25]][[39]]\n", + "[1] 4.798302\n", + "\n", + "$MSE_list[[25]][[40]]\n", + "[1] 6.925533\n", + "\n", + "$MSE_list[[25]][[41]]\n", + "[1] 8.209851\n", + "\n", + "$MSE_list[[25]][[42]]\n", + "[1] 4.692417\n", + "\n", + "$MSE_list[[25]][[43]]\n", + "[1] 6.190492\n", + "\n", + "$MSE_list[[25]][[44]]\n", + "[1] 4.874743\n", + "\n", + "$MSE_list[[25]][[45]]\n", + "[1] 6.90075\n", + "\n", + "$MSE_list[[25]][[46]]\n", + "[1] 8.168407\n", + "\n", + "$MSE_list[[25]][[47]]\n", + "[1] 6.88292\n", + "\n", + "$MSE_list[[25]][[48]]\n", + "[1] 6.90814\n", + "\n", + "$MSE_list[[25]][[49]]\n", + "[1] 3.852623\n", + "\n", + "$MSE_list[[25]][[50]]\n", + "[1] 3.652714\n", + "\n", + "$MSE_list[[25]][[51]]\n", + "[1] 6.110426\n", + "\n", + "$MSE_list[[25]][[52]]\n", + "[1] 3.64744\n", + "\n", + "$MSE_list[[25]][[53]]\n", + "[1] 6.07156\n", + "\n", + "$MSE_list[[25]][[54]]\n", + "[1] 7.780202\n", + "\n", + "$MSE_list[[25]][[55]]\n", + "[1] 5.167566\n", + "\n", + "$MSE_list[[25]][[56]]\n", + "[1] 2.465263\n", + "\n", + "$MSE_list[[25]][[57]]\n", + "[1] 10.0887\n", + "\n", + "$MSE_list[[25]][[58]]\n", + "[1] 4.91647\n", + "\n", + "$MSE_list[[25]][[59]]\n", + "[1] 4.130232\n", + "\n", + "$MSE_list[[25]][[60]]\n", + "[1] 6.659247\n", + "\n", + "$MSE_list[[25]][[61]]\n", + "[1] 3.344038\n", + "\n", + "$MSE_list[[25]][[62]]\n", + "[1] 5.201494\n", + "\n", + "$MSE_list[[25]][[63]]\n", + "[1] 6.603411\n", + "\n", + "$MSE_list[[25]][[64]]\n", + "[1] 5.860567\n", + "\n", + "$MSE_list[[25]][[65]]\n", + "[1] 4.712925\n", + "\n", + "$MSE_list[[25]][[66]]\n", + "[1] 5.211879\n", + "\n", + "$MSE_list[[25]][[67]]\n", + "[1] 6.2701\n", + "\n", + "$MSE_list[[25]][[68]]\n", + "[1] 7.816604\n", + "\n", + "$MSE_list[[25]][[69]]\n", + "[1] 3.304391\n", + "\n", + "$MSE_list[[25]][[70]]\n", + "[1] 4.695597\n", + "\n", + "$MSE_list[[25]][[71]]\n", + "[1] 0.6753809\n", + "\n", + "$MSE_list[[25]][[72]]\n", + "[1] 1.874562\n", + "\n", + "$MSE_list[[25]][[73]]\n", + "[1] 3.937641\n", + "\n", + "$MSE_list[[25]][[74]]\n", + "[1] 5.970245\n", + "\n", + "$MSE_list[[25]][[75]]\n", + "[1] 2.957383\n", + "\n", + "$MSE_list[[25]][[76]]\n", + "[1] 5.687808\n", + "\n", + "$MSE_list[[25]][[77]]\n", + "[1] 2.911058\n", + "\n", + "$MSE_list[[25]][[78]]\n", + "[1] 6.753632\n", + "\n", + "$MSE_list[[25]][[79]]\n", + "[1] 7.445501\n", + "\n", + "$MSE_list[[25]][[80]]\n", + "[1] 5.204437\n", + "\n", + "$MSE_list[[25]][[81]]\n", + "[1] 5.097241\n", + "\n", + "$MSE_list[[25]][[82]]\n", + "[1] 0.8235128\n", + "\n", + "$MSE_list[[25]][[83]]\n", + "[1] 5.737642\n", + "\n", + "$MSE_list[[25]][[84]]\n", + "[1] 4.703552\n", + "\n", + "$MSE_list[[25]][[85]]\n", + "[1] 2.23796\n", + "\n", + "$MSE_list[[25]][[86]]\n", + "[1] 8.878641\n", + "\n", + "$MSE_list[[25]][[87]]\n", + "[1] 4.458896\n", + "\n", + "$MSE_list[[25]][[88]]\n", + "[1] 2.606775\n", + "\n", + "$MSE_list[[25]][[89]]\n", + "[1] 6.024895\n", + "\n", + "$MSE_list[[25]][[90]]\n", + "[1] 3.58529\n", + "\n", + "$MSE_list[[25]][[91]]\n", + "[1] 0.7491298\n", + "\n", + "$MSE_list[[25]][[92]]\n", + "[1] 3.939322\n", + "\n", + "$MSE_list[[25]][[93]]\n", + "[1] 6.98431\n", + "\n", + "$MSE_list[[25]][[94]]\n", + "[1] 5.225747\n", + "\n", + "$MSE_list[[25]][[95]]\n", + "[1] 4.888312\n", + "\n", + "$MSE_list[[25]][[96]]\n", + "[1] 6.504259\n", + "\n", + "$MSE_list[[25]][[97]]\n", + "[1] 6.170426\n", + "\n", + "$MSE_list[[25]][[98]]\n", + "[1] 5.946639\n", + "\n", + "$MSE_list[[25]][[99]]\n", + "[1] 6.423778\n", + "\n", + "$MSE_list[[25]][[100]]\n", + "[1] 5.742401\n", + "\n", + "\n", + "$MSE_list[[26]]\n", + "$MSE_list[[26]][[1]]\n", + "[1] 6.818114\n", + "\n", + "$MSE_list[[26]][[2]]\n", + "[1] 0.599447\n", + "\n", + "$MSE_list[[26]][[3]]\n", + "[1] 2.027247\n", + "\n", + "$MSE_list[[26]][[4]]\n", + "[1] 4.646525\n", + "\n", + "$MSE_list[[26]][[5]]\n", + "[1] 2.391044\n", + "\n", + "$MSE_list[[26]][[6]]\n", + "[1] 1.427848\n", + "\n", + "$MSE_list[[26]][[7]]\n", + "[1] 7.758926\n", + "\n", + "$MSE_list[[26]][[8]]\n", + "[1] 9.570591\n", + "\n", + "$MSE_list[[26]][[9]]\n", + "[1] 4.264225\n", + "\n", + "$MSE_list[[26]][[10]]\n", + "[1] 2.848145\n", + "\n", + "$MSE_list[[26]][[11]]\n", + "[1] 9.968825\n", + "\n", + "$MSE_list[[26]][[12]]\n", + "[1] 5.867504\n", + "\n", + "$MSE_list[[26]][[13]]\n", + "[1] 1.683945\n", + "\n", + "$MSE_list[[26]][[14]]\n", + "[1] 6.374001\n", + "\n", + "$MSE_list[[26]][[15]]\n", + "[1] 2.931566\n", + "\n", + "$MSE_list[[26]][[16]]\n", + "[1] 9.11689\n", + "\n", + "$MSE_list[[26]][[17]]\n", + "[1] 8.342724\n", + "\n", + "$MSE_list[[26]][[18]]\n", + "[1] 7.734771\n", + "\n", + "$MSE_list[[26]][[19]]\n", + "[1] 5.898191\n", + "\n", + "$MSE_list[[26]][[20]]\n", + "[1] 4.499933\n", + "\n", + "$MSE_list[[26]][[21]]\n", + "[1] 2.737014\n", + "\n", + "$MSE_list[[26]][[22]]\n", + "[1] 5.414748\n", + "\n", + "$MSE_list[[26]][[23]]\n", + "[1] 4.186457\n", + "\n", + "$MSE_list[[26]][[24]]\n", + "[1] 1.408315\n", + "\n", + "$MSE_list[[26]][[25]]\n", + "[1] 6.713762\n", + "\n", + "$MSE_list[[26]][[26]]\n", + "[1] 7.024777\n", + "\n", + "$MSE_list[[26]][[27]]\n", + "[1] 6.675001\n", + "\n", + "$MSE_list[[26]][[28]]\n", + "[1] 5.060209\n", + "\n", + "$MSE_list[[26]][[29]]\n", + "[1] 4.182952\n", + "\n", + "$MSE_list[[26]][[30]]\n", + "[1] 7.703645\n", + "\n", + "$MSE_list[[26]][[31]]\n", + "[1] 9.224567\n", + "\n", + "$MSE_list[[26]][[32]]\n", + "[1] 2.255074\n", + "\n", + "$MSE_list[[26]][[33]]\n", + "[1] 1.077514\n", + "\n", + "$MSE_list[[26]][[34]]\n", + "[1] 2.02605\n", + "\n", + "$MSE_list[[26]][[35]]\n", + "[1] 1.740649\n", + "\n", + "$MSE_list[[26]][[36]]\n", + "[1] 7.596534\n", + "\n", + "$MSE_list[[26]][[37]]\n", + "[1] 6.415772\n", + "\n", + "$MSE_list[[26]][[38]]\n", + "[1] 2.390434\n", + "\n", + "$MSE_list[[26]][[39]]\n", + "[1] 3.820643\n", + "\n", + "$MSE_list[[26]][[40]]\n", + "[1] 1.814149\n", + "\n", + "$MSE_list[[26]][[41]]\n", + "[1] 5.553598\n", + "\n", + "$MSE_list[[26]][[42]]\n", + "[1] 3.636203\n", + "\n", + "$MSE_list[[26]][[43]]\n", + "[1] 2.097643\n", + "\n", + "$MSE_list[[26]][[44]]\n", + "[1] 6.159091\n", + "\n", + "$MSE_list[[26]][[45]]\n", + "[1] 3.130933\n", + "\n", + "$MSE_list[[26]][[46]]\n", + "[1] 3.825464\n", + "\n", + "$MSE_list[[26]][[47]]\n", + "[1] 4.907675\n", + "\n", + "$MSE_list[[26]][[48]]\n", + "[1] 2.319311\n", + "\n", + "$MSE_list[[26]][[49]]\n", + "[1] 4.358127\n", + "\n", + "$MSE_list[[26]][[50]]\n", + "[1] 2.677138\n", + "\n", + "$MSE_list[[26]][[51]]\n", + "[1] 4.83361\n", + "\n", + "$MSE_list[[26]][[52]]\n", + "[1] 1.791204\n", + "\n", + "$MSE_list[[26]][[53]]\n", + "[1] 2.467157\n", + "\n", + "$MSE_list[[26]][[54]]\n", + "[1] 2.122014\n", + "\n", + "$MSE_list[[26]][[55]]\n", + "[1] 6.078414\n", + "\n", + "$MSE_list[[26]][[56]]\n", + "[1] 3.58915\n", + "\n", + "$MSE_list[[26]][[57]]\n", + "[1] 6.819319\n", + "\n", + "$MSE_list[[26]][[58]]\n", + "[1] 2.902782\n", + "\n", + "$MSE_list[[26]][[59]]\n", + "[1] 3.16859\n", + "\n", + "$MSE_list[[26]][[60]]\n", + "[1] 4.045092\n", + "\n", + "$MSE_list[[26]][[61]]\n", + "[1] 5.200645\n", + "\n", + "$MSE_list[[26]][[62]]\n", + "[1] 4.925312\n", + "\n", + "$MSE_list[[26]][[63]]\n", + "[1] 4.514918\n", + "\n", + "$MSE_list[[26]][[64]]\n", + "[1] 2.056179\n", + "\n", + "$MSE_list[[26]][[65]]\n", + "[1] 4.363326\n", + "\n", + "$MSE_list[[26]][[66]]\n", + "[1] 2.016103\n", + "\n", + "$MSE_list[[26]][[67]]\n", + "[1] 6.123419\n", + "\n", + "$MSE_list[[26]][[68]]\n", + "[1] 5.509939\n", + "\n", + "$MSE_list[[26]][[69]]\n", + "[1] 6.718834\n", + "\n", + "$MSE_list[[26]][[70]]\n", + "[1] 9.03267\n", + "\n", + "$MSE_list[[26]][[71]]\n", + "[1] 2.558948\n", + "\n", + "$MSE_list[[26]][[72]]\n", + "[1] 5.060861\n", + "\n", + "$MSE_list[[26]][[73]]\n", + "[1] 5.61059\n", + "\n", + "$MSE_list[[26]][[74]]\n", + "[1] 2.887532\n", + "\n", + "$MSE_list[[26]][[75]]\n", + "[1] 2.310648\n", + "\n", + "$MSE_list[[26]][[76]]\n", + "[1] 1.1157\n", + "\n", + "$MSE_list[[26]][[77]]\n", + "[1] 4.175173\n", + "\n", + "$MSE_list[[26]][[78]]\n", + "[1] 7.503619\n", + "\n", + "$MSE_list[[26]][[79]]\n", + "[1] 4.240485\n", + "\n", + "$MSE_list[[26]][[80]]\n", + "[1] 1.49058\n", + "\n", + "$MSE_list[[26]][[81]]\n", + "[1] 4.20472\n", + "\n", + "$MSE_list[[26]][[82]]\n", + "[1] 5.438416\n", + "\n", + "$MSE_list[[26]][[83]]\n", + "[1] 4.345924\n", + "\n", + "$MSE_list[[26]][[84]]\n", + "[1] 7.44769\n", + "\n", + "$MSE_list[[26]][[85]]\n", + "[1] 3.514756\n", + "\n", + "$MSE_list[[26]][[86]]\n", + "[1] 2.650736\n", + "\n", + "$MSE_list[[26]][[87]]\n", + "[1] 2.836189\n", + "\n", + "$MSE_list[[26]][[88]]\n", + "[1] 7.650042\n", + "\n", + "$MSE_list[[26]][[89]]\n", + "[1] 5.564643\n", + "\n", + "$MSE_list[[26]][[90]]\n", + "[1] 3.282398\n", + "\n", + "$MSE_list[[26]][[91]]\n", + "[1] 3.633722\n", + "\n", + "$MSE_list[[26]][[92]]\n", + "[1] 3.071076\n", + "\n", + "$MSE_list[[26]][[93]]\n", + "[1] 7.95021\n", + "\n", + "$MSE_list[[26]][[94]]\n", + "[1] 8.884945\n", + "\n", + "$MSE_list[[26]][[95]]\n", + "[1] 6.568314\n", + "\n", + "$MSE_list[[26]][[96]]\n", + "[1] 1.353073\n", + "\n", + "$MSE_list[[26]][[97]]\n", + "[1] 4.669383\n", + "\n", + "$MSE_list[[26]][[98]]\n", + "[1] 5.869073\n", + "\n", + "$MSE_list[[26]][[99]]\n", + "[1] 5.375674\n", + "\n", + "$MSE_list[[26]][[100]]\n", + "[1] 8.018047\n", + "\n", + "\n", + "$MSE_list[[27]]\n", + "$MSE_list[[27]][[1]]\n", + "[1] 1.463101\n", + "\n", + "$MSE_list[[27]][[2]]\n", + "[1] 2.860222\n", + "\n", + "$MSE_list[[27]][[3]]\n", + "[1] 1.300914\n", + "\n", + "$MSE_list[[27]][[4]]\n", + "[1] 4.098756\n", + "\n", + "$MSE_list[[27]][[5]]\n", + "[1] 6.085582\n", + "\n", + "$MSE_list[[27]][[6]]\n", + "[1] 9.301739\n", + "\n", + "$MSE_list[[27]][[7]]\n", + "[1] 2.7103\n", + "\n", + "$MSE_list[[27]][[8]]\n", + "[1] 2.649346\n", + "\n", + "$MSE_list[[27]][[9]]\n", + "[1] 3.731303\n", + "\n", + "$MSE_list[[27]][[10]]\n", + "[1] 4.807124\n", + "\n", + "$MSE_list[[27]][[11]]\n", + "[1] 7.987108\n", + "\n", + "$MSE_list[[27]][[12]]\n", + "[1] 7.187542\n", + "\n", + "$MSE_list[[27]][[13]]\n", + "[1] 2.404057\n", + "\n", + "$MSE_list[[27]][[14]]\n", + "[1] 4.753306\n", + "\n", + "$MSE_list[[27]][[15]]\n", + "[1] 7.242655\n", + "\n", + "$MSE_list[[27]][[16]]\n", + "[1] 4.539711\n", + "\n", + "$MSE_list[[27]][[17]]\n", + "[1] 3.39787\n", + "\n", + "$MSE_list[[27]][[18]]\n", + "[1] 2.175106\n", + "\n", + "$MSE_list[[27]][[19]]\n", + "[1] 3.824769\n", + "\n", + "$MSE_list[[27]][[20]]\n", + "[1] 4.387397\n", + "\n", + "$MSE_list[[27]][[21]]\n", + "[1] 5.938349\n", + "\n", + "$MSE_list[[27]][[22]]\n", + "[1] 7.780462\n", + "\n", + "$MSE_list[[27]][[23]]\n", + "[1] 6.467373\n", + "\n", + "$MSE_list[[27]][[24]]\n", + "[1] 8.239813\n", + "\n", + "$MSE_list[[27]][[25]]\n", + "[1] 1.028398\n", + "\n", + "$MSE_list[[27]][[26]]\n", + "[1] 1.449751\n", + "\n", + "$MSE_list[[27]][[27]]\n", + "[1] 2.060452\n", + "\n", + "$MSE_list[[27]][[28]]\n", + "[1] 4.634067\n", + "\n", + "$MSE_list[[27]][[29]]\n", + "[1] 4.578258\n", + "\n", + "$MSE_list[[27]][[30]]\n", + "[1] 4.070078\n", + "\n", + "$MSE_list[[27]][[31]]\n", + "[1] 4.632684\n", + "\n", + "$MSE_list[[27]][[32]]\n", + "[1] 3.41682\n", + "\n", + "$MSE_list[[27]][[33]]\n", + "[1] 2.563927\n", + "\n", + "$MSE_list[[27]][[34]]\n", + "[1] 3.927845\n", + "\n", + "$MSE_list[[27]][[35]]\n", + "[1] 5.829971\n", + "\n", + "$MSE_list[[27]][[36]]\n", + "[1] 5.207323\n", + "\n", + "$MSE_list[[27]][[37]]\n", + "[1] 5.076022\n", + "\n", + "$MSE_list[[27]][[38]]\n", + "[1] 3.989359\n", + "\n", + "$MSE_list[[27]][[39]]\n", + "[1] 6.075369\n", + "\n", + "$MSE_list[[27]][[40]]\n", + "[1] 8.119583\n", + "\n", + "$MSE_list[[27]][[41]]\n", + "[1] 1.612244\n", + "\n", + "$MSE_list[[27]][[42]]\n", + "[1] 3.182839\n", + "\n", + "$MSE_list[[27]][[43]]\n", + "[1] 7.905201\n", + "\n", + "$MSE_list[[27]][[44]]\n", + "[1] 1.059892\n", + "\n", + "$MSE_list[[27]][[45]]\n", + "[1] 5.440925\n", + "\n", + "$MSE_list[[27]][[46]]\n", + "[1] 4.159883\n", + "\n", + "$MSE_list[[27]][[47]]\n", + "[1] 1.357896\n", + "\n", + "$MSE_list[[27]][[48]]\n", + "[1] 1.276482\n", + "\n", + "$MSE_list[[27]][[49]]\n", + "[1] 1.631431\n", + "\n", + "$MSE_list[[27]][[50]]\n", + "[1] 4.303005\n", + "\n", + "$MSE_list[[27]][[51]]\n", + "[1] 6.601368\n", + "\n", + "$MSE_list[[27]][[52]]\n", + "[1] 7.585902\n", + "\n", + "$MSE_list[[27]][[53]]\n", + "[1] 4.956623\n", + "\n", + "$MSE_list[[27]][[54]]\n", + "[1] 6.589399\n", + "\n", + "$MSE_list[[27]][[55]]\n", + "[1] 1.064298\n", + "\n", + "$MSE_list[[27]][[56]]\n", + "[1] 7.033829\n", + "\n", + "$MSE_list[[27]][[57]]\n", + "[1] 7.144325\n", + "\n", + "$MSE_list[[27]][[58]]\n", + "[1] 8.234793\n", + "\n", + "$MSE_list[[27]][[59]]\n", + "[1] 3.447076\n", + "\n", + "$MSE_list[[27]][[60]]\n", + "[1] 3.7859\n", + "\n", + "$MSE_list[[27]][[61]]\n", + "[1] 3.322237\n", + "\n", + "$MSE_list[[27]][[62]]\n", + "[1] 8.834227\n", + "\n", + "$MSE_list[[27]][[63]]\n", + "[1] 5.623999\n", + "\n", + "$MSE_list[[27]][[64]]\n", + "[1] 6.372459\n", + "\n", + "$MSE_list[[27]][[65]]\n", + "[1] 7.33376\n", + "\n", + "$MSE_list[[27]][[66]]\n", + "[1] 7.988717\n", + "\n", + "$MSE_list[[27]][[67]]\n", + "[1] 3.738975\n", + "\n", + "$MSE_list[[27]][[68]]\n", + "[1] 5.172952\n", + "\n", + "$MSE_list[[27]][[69]]\n", + "[1] 4.48021\n", + "\n", + "$MSE_list[[27]][[70]]\n", + "[1] 6.823712\n", + "\n", + "$MSE_list[[27]][[71]]\n", + "[1] 4.541169\n", + "\n", + "$MSE_list[[27]][[72]]\n", + "[1] 3.465207\n", + "\n", + "$MSE_list[[27]][[73]]\n", + "[1] 1.438902\n", + "\n", + "$MSE_list[[27]][[74]]\n", + "[1] 5.378968\n", + "\n", + "$MSE_list[[27]][[75]]\n", + "[1] 10.01521\n", + "\n", + "$MSE_list[[27]][[76]]\n", + "[1] 3.72406\n", + "\n", + "$MSE_list[[27]][[77]]\n", + "[1] 8.035433\n", + "\n", + "$MSE_list[[27]][[78]]\n", + "[1] 8.387697\n", + "\n", + "$MSE_list[[27]][[79]]\n", + "[1] 6.197317\n", + "\n", + "$MSE_list[[27]][[80]]\n", + "[1] 4.171801\n", + "\n", + "$MSE_list[[27]][[81]]\n", + "[1] 5.48864\n", + "\n", + "$MSE_list[[27]][[82]]\n", + "[1] 4.63332\n", + "\n", + "$MSE_list[[27]][[83]]\n", + "[1] 2.309039\n", + "\n", + "$MSE_list[[27]][[84]]\n", + "[1] 6.341055\n", + "\n", + "$MSE_list[[27]][[85]]\n", + "[1] 5.948552\n", + "\n", + "$MSE_list[[27]][[86]]\n", + "[1] 7.070203\n", + "\n", + "$MSE_list[[27]][[87]]\n", + "[1] 2.785807\n", + "\n", + "$MSE_list[[27]][[88]]\n", + "[1] 7.549925\n", + "\n", + "$MSE_list[[27]][[89]]\n", + "[1] 7.004163\n", + "\n", + "$MSE_list[[27]][[90]]\n", + "[1] 4.324375\n", + "\n", + "$MSE_list[[27]][[91]]\n", + "[1] 6.166558\n", + "\n", + "$MSE_list[[27]][[92]]\n", + "[1] 8.222425\n", + "\n", + "$MSE_list[[27]][[93]]\n", + "[1] 5.344859\n", + "\n", + "$MSE_list[[27]][[94]]\n", + "[1] 7.049191\n", + "\n", + "$MSE_list[[27]][[95]]\n", + "[1] 5.684042\n", + "\n", + "$MSE_list[[27]][[96]]\n", + "[1] 7.245539\n", + "\n", + "$MSE_list[[27]][[97]]\n", + "[1] 1.697422\n", + "\n", + "$MSE_list[[27]][[98]]\n", + "[1] 8.535021\n", + "\n", + "$MSE_list[[27]][[99]]\n", + "[1] 4.668844\n", + "\n", + "$MSE_list[[27]][[100]]\n", + "[1] 3.955117\n", + "\n", + "\n", + "$MSE_list[[28]]\n", + "$MSE_list[[28]][[1]]\n", + "[1] 3.736314\n", + "\n", + "$MSE_list[[28]][[2]]\n", + "[1] 7.971077\n", + "\n", + "$MSE_list[[28]][[3]]\n", + "[1] 5.152574\n", + "\n", + "$MSE_list[[28]][[4]]\n", + "[1] 5.631161\n", + "\n", + "$MSE_list[[28]][[5]]\n", + "[1] 7.5041\n", + "\n", + "$MSE_list[[28]][[6]]\n", + "[1] 1.83214\n", + "\n", + "$MSE_list[[28]][[7]]\n", + "[1] 4.404356\n", + "\n", + "$MSE_list[[28]][[8]]\n", + "[1] 7.257939\n", + "\n", + "$MSE_list[[28]][[9]]\n", + "[1] 2.819725\n", + "\n", + "$MSE_list[[28]][[10]]\n", + "[1] 6.599579\n", + "\n", + "$MSE_list[[28]][[11]]\n", + "[1] 2.395136\n", + "\n", + "$MSE_list[[28]][[12]]\n", + "[1] 1.776957\n", + "\n", + "$MSE_list[[28]][[13]]\n", + "[1] 5.350884\n", + "\n", + "$MSE_list[[28]][[14]]\n", + "[1] 6.627242\n", + "\n", + "$MSE_list[[28]][[15]]\n", + "[1] 3.439825\n", + "\n", + "$MSE_list[[28]][[16]]\n", + "[1] 5.337763\n", + "\n", + "$MSE_list[[28]][[17]]\n", + "[1] 6.80733\n", + "\n", + "$MSE_list[[28]][[18]]\n", + "[1] 6.468276\n", + "\n", + "$MSE_list[[28]][[19]]\n", + "[1] 4.496205\n", + "\n", + "$MSE_list[[28]][[20]]\n", + "[1] 8.175947\n", + "\n", + "$MSE_list[[28]][[21]]\n", + "[1] 4.947252\n", + "\n", + "$MSE_list[[28]][[22]]\n", + "[1] 2.908982\n", + "\n", + "$MSE_list[[28]][[23]]\n", + "[1] 7.58985\n", + "\n", + "$MSE_list[[28]][[24]]\n", + "[1] 9.238223\n", + "\n", + "$MSE_list[[28]][[25]]\n", + "[1] 7.146199\n", + "\n", + "$MSE_list[[28]][[26]]\n", + "[1] 2.521715\n", + "\n", + "$MSE_list[[28]][[27]]\n", + "[1] 6.845891\n", + "\n", + "$MSE_list[[28]][[28]]\n", + "[1] 6.419241\n", + "\n", + "$MSE_list[[28]][[29]]\n", + "[1] 7.943221\n", + "\n", + "$MSE_list[[28]][[30]]\n", + "[1] 4.27426\n", + "\n", + "$MSE_list[[28]][[31]]\n", + "[1] 3.433839\n", + "\n", + "$MSE_list[[28]][[32]]\n", + "[1] 6.525907\n", + "\n", + "$MSE_list[[28]][[33]]\n", + "[1] 6.623371\n", + "\n", + "$MSE_list[[28]][[34]]\n", + "[1] 8.63793\n", + "\n", + "$MSE_list[[28]][[35]]\n", + "[1] 8.102336\n", + "\n", + "$MSE_list[[28]][[36]]\n", + "[1] 5.426043\n", + "\n", + "$MSE_list[[28]][[37]]\n", + "[1] 9.153272\n", + "\n", + "$MSE_list[[28]][[38]]\n", + "[1] 6.479125\n", + "\n", + "$MSE_list[[28]][[39]]\n", + "[1] 1.998783\n", + "\n", + "$MSE_list[[28]][[40]]\n", + "[1] 1.955733\n", + "\n", + "$MSE_list[[28]][[41]]\n", + "[1] 6.480262\n", + "\n", + "$MSE_list[[28]][[42]]\n", + "[1] 8.749078\n", + "\n", + "$MSE_list[[28]][[43]]\n", + "[1] 8.505388\n", + "\n", + "$MSE_list[[28]][[44]]\n", + "[1] 3.708794\n", + "\n", + "$MSE_list[[28]][[45]]\n", + "[1] 3.08365\n", + "\n", + "$MSE_list[[28]][[46]]\n", + "[1] 6.311242\n", + "\n", + "$MSE_list[[28]][[47]]\n", + "[1] 2.714812\n", + "\n", + "$MSE_list[[28]][[48]]\n", + "[1] 6.571311\n", + "\n", + "$MSE_list[[28]][[49]]\n", + "[1] 4.843818\n", + "\n", + "$MSE_list[[28]][[50]]\n", + "[1] 4.088497\n", + "\n", + "$MSE_list[[28]][[51]]\n", + "[1] 2.708853\n", + "\n", + "$MSE_list[[28]][[52]]\n", + "[1] 8.193819\n", + "\n", + "$MSE_list[[28]][[53]]\n", + "[1] 8.219586\n", + "\n", + "$MSE_list[[28]][[54]]\n", + "[1] 6.9098\n", + "\n", + "$MSE_list[[28]][[55]]\n", + "[1] 3.485827\n", + "\n", + "$MSE_list[[28]][[56]]\n", + "[1] 11.08105\n", + "\n", + "$MSE_list[[28]][[57]]\n", + "[1] 5.088919\n", + "\n", + "$MSE_list[[28]][[58]]\n", + "[1] 5.884174\n", + "\n", + "$MSE_list[[28]][[59]]\n", + "[1] 7.489895\n", + "\n", + "$MSE_list[[28]][[60]]\n", + "[1] 5.432427\n", + "\n", + "$MSE_list[[28]][[61]]\n", + "[1] 5.117401\n", + "\n", + "$MSE_list[[28]][[62]]\n", + "[1] 4.252498\n", + "\n", + "$MSE_list[[28]][[63]]\n", + "[1] 3.0617\n", + "\n", + "$MSE_list[[28]][[64]]\n", + "[1] 4.505364\n", + "\n", + "$MSE_list[[28]][[65]]\n", + "[1] 5.285444\n", + "\n", + "$MSE_list[[28]][[66]]\n", + "[1] 9.055636\n", + "\n", + "$MSE_list[[28]][[67]]\n", + "[1] 6.675813\n", + "\n", + "$MSE_list[[28]][[68]]\n", + "[1] 3.667623\n", + "\n", + "$MSE_list[[28]][[69]]\n", + "[1] 4.083796\n", + "\n", + "$MSE_list[[28]][[70]]\n", + "[1] 5.179653\n", + "\n", + "$MSE_list[[28]][[71]]\n", + "[1] 5.053261\n", + "\n", + "$MSE_list[[28]][[72]]\n", + "[1] 6.260414\n", + "\n", + "$MSE_list[[28]][[73]]\n", + "[1] 8.798983\n", + "\n", + "$MSE_list[[28]][[74]]\n", + "[1] 5.778169\n", + "\n", + "$MSE_list[[28]][[75]]\n", + "[1] 5.831187\n", + "\n", + "$MSE_list[[28]][[76]]\n", + "[1] 6.814711\n", + "\n", + "$MSE_list[[28]][[77]]\n", + "[1] 3.703573\n", + "\n", + "$MSE_list[[28]][[78]]\n", + "[1] 4.608606\n", + "\n", + "$MSE_list[[28]][[79]]\n", + "[1] 8.117247\n", + "\n", + "$MSE_list[[28]][[80]]\n", + "[1] 5.570401\n", + "\n", + "$MSE_list[[28]][[81]]\n", + "[1] 5.670421\n", + "\n", + "$MSE_list[[28]][[82]]\n", + "[1] 6.098713\n", + "\n", + "$MSE_list[[28]][[83]]\n", + "[1] 6.513382\n", + "\n", + "$MSE_list[[28]][[84]]\n", + "[1] 5.176657\n", + "\n", + "$MSE_list[[28]][[85]]\n", + "[1] 4.209443\n", + "\n", + "$MSE_list[[28]][[86]]\n", + "[1] 8.76848\n", + "\n", + "$MSE_list[[28]][[87]]\n", + "[1] 8.148735\n", + "\n", + "$MSE_list[[28]][[88]]\n", + "[1] 8.003781\n", + "\n", + "$MSE_list[[28]][[89]]\n", + "[1] 6.824415\n", + "\n", + "$MSE_list[[28]][[90]]\n", + "[1] 4.767096\n", + "\n", + "$MSE_list[[28]][[91]]\n", + "[1] 2.240971\n", + "\n", + "$MSE_list[[28]][[92]]\n", + "[1] 3.054238\n", + "\n", + "$MSE_list[[28]][[93]]\n", + "[1] 2.989429\n", + "\n", + "$MSE_list[[28]][[94]]\n", + "[1] 6.467094\n", + "\n", + "$MSE_list[[28]][[95]]\n", + "[1] 5.699361\n", + "\n", + "$MSE_list[[28]][[96]]\n", + "[1] 8.94227\n", + "\n", + "$MSE_list[[28]][[97]]\n", + "[1] 9.343995\n", + "\n", + "$MSE_list[[28]][[98]]\n", + "[1] 9.620836\n", + "\n", + "$MSE_list[[28]][[99]]\n", + "[1] 1.971491\n", + "\n", + "$MSE_list[[28]][[100]]\n", + "[1] 8.7796\n", + "\n", + "\n", + "$MSE_list[[29]]\n", + "$MSE_list[[29]][[1]]\n", + "[1] 4.445738\n", + "\n", + "$MSE_list[[29]][[2]]\n", + "[1] 5.407023\n", + "\n", + "$MSE_list[[29]][[3]]\n", + "[1] 1.47626\n", + "\n", + "$MSE_list[[29]][[4]]\n", + "[1] 5.633314\n", + "\n", + "$MSE_list[[29]][[5]]\n", + "[1] 4.396578\n", + "\n", + "$MSE_list[[29]][[6]]\n", + "[1] 4.297041\n", + "\n", + "$MSE_list[[29]][[7]]\n", + "[1] 7.234083\n", + "\n", + "$MSE_list[[29]][[8]]\n", + "[1] 1.528595\n", + "\n", + "$MSE_list[[29]][[9]]\n", + "[1] 4.988957\n", + "\n", + "$MSE_list[[29]][[10]]\n", + "[1] 4.817659\n", + "\n", + "$MSE_list[[29]][[11]]\n", + "[1] 3.844733\n", + "\n", + "$MSE_list[[29]][[12]]\n", + "[1] 3.569404\n", + "\n", + "$MSE_list[[29]][[13]]\n", + "[1] 6.388898\n", + "\n", + "$MSE_list[[29]][[14]]\n", + "[1] 2.346327\n", + "\n", + "$MSE_list[[29]][[15]]\n", + "[1] 4.221084\n", + "\n", + "$MSE_list[[29]][[16]]\n", + "[1] 0.9015323\n", + "\n", + "$MSE_list[[29]][[17]]\n", + "[1] 6.376381\n", + "\n", + "$MSE_list[[29]][[18]]\n", + "[1] 5.318153\n", + "\n", + "$MSE_list[[29]][[19]]\n", + "[1] 5.258435\n", + "\n", + "$MSE_list[[29]][[20]]\n", + "[1] 4.748041\n", + "\n", + "$MSE_list[[29]][[21]]\n", + "[1] 8.773623\n", + "\n", + "$MSE_list[[29]][[22]]\n", + "[1] 5.309811\n", + "\n", + "$MSE_list[[29]][[23]]\n", + "[1] 4.148837\n", + "\n", + "$MSE_list[[29]][[24]]\n", + "[1] 6.284224\n", + "\n", + "$MSE_list[[29]][[25]]\n", + "[1] 4.625716\n", + "\n", + "$MSE_list[[29]][[26]]\n", + "[1] 2.793058\n", + "\n", + "$MSE_list[[29]][[27]]\n", + "[1] 4.168651\n", + "\n", + "$MSE_list[[29]][[28]]\n", + "[1] 4.217786\n", + "\n", + "$MSE_list[[29]][[29]]\n", + "[1] 4.993377\n", + "\n", + "$MSE_list[[29]][[30]]\n", + "[1] 7.443988\n", + "\n", + "$MSE_list[[29]][[31]]\n", + "[1] 3.482874\n", + "\n", + "$MSE_list[[29]][[32]]\n", + "[1] 2.31443\n", + "\n", + "$MSE_list[[29]][[33]]\n", + "[1] 5.724014\n", + "\n", + "$MSE_list[[29]][[34]]\n", + "[1] 7.200803\n", + "\n", + "$MSE_list[[29]][[35]]\n", + "[1] 2.263608\n", + "\n", + "$MSE_list[[29]][[36]]\n", + "[1] 5.832737\n", + "\n", + "$MSE_list[[29]][[37]]\n", + "[1] 4.464743\n", + "\n", + "$MSE_list[[29]][[38]]\n", + "[1] 4.454149\n", + "\n", + "$MSE_list[[29]][[39]]\n", + "[1] 6.498475\n", + "\n", + "$MSE_list[[29]][[40]]\n", + "[1] 1.373231\n", + "\n", + "$MSE_list[[29]][[41]]\n", + "[1] 1.717706\n", + "\n", + "$MSE_list[[29]][[42]]\n", + "[1] 3.875782\n", + "\n", + "$MSE_list[[29]][[43]]\n", + "[1] 1.986505\n", + "\n", + "$MSE_list[[29]][[44]]\n", + "[1] 2.258343\n", + "\n", + "$MSE_list[[29]][[45]]\n", + "[1] 6.830167\n", + "\n", + "$MSE_list[[29]][[46]]\n", + "[1] 3.724336\n", + "\n", + "$MSE_list[[29]][[47]]\n", + "[1] 5.936926\n", + "\n", + "$MSE_list[[29]][[48]]\n", + "[1] 5.85789\n", + "\n", + "$MSE_list[[29]][[49]]\n", + "[1] 4.854772\n", + "\n", + "$MSE_list[[29]][[50]]\n", + "[1] 3.969045\n", + "\n", + "$MSE_list[[29]][[51]]\n", + "[1] 5.276204\n", + "\n", + "$MSE_list[[29]][[52]]\n", + "[1] 3.670128\n", + "\n", + "$MSE_list[[29]][[53]]\n", + "[1] 4.934399\n", + "\n", + "$MSE_list[[29]][[54]]\n", + "[1] 1.434439\n", + "\n", + "$MSE_list[[29]][[55]]\n", + "[1] 4.488832\n", + "\n", + "$MSE_list[[29]][[56]]\n", + "[1] 2.350323\n", + "\n", + "$MSE_list[[29]][[57]]\n", + "[1] 6.428899\n", + "\n", + "$MSE_list[[29]][[58]]\n", + "[1] 6.172319\n", + "\n", + "$MSE_list[[29]][[59]]\n", + "[1] 3.48882\n", + "\n", + "$MSE_list[[29]][[60]]\n", + "[1] 5.896149\n", + "\n", + "$MSE_list[[29]][[61]]\n", + "[1] 5.931897\n", + "\n", + "$MSE_list[[29]][[62]]\n", + "[1] 4.561588\n", + "\n", + "$MSE_list[[29]][[63]]\n", + "[1] 4.229687\n", + "\n", + "$MSE_list[[29]][[64]]\n", + "[1] 3.216548\n", + "\n", + "$MSE_list[[29]][[65]]\n", + "[1] 6.853762\n", + "\n", + "$MSE_list[[29]][[66]]\n", + "[1] 4.086094\n", + "\n", + "$MSE_list[[29]][[67]]\n", + "[1] 3.218918\n", + "\n", + "$MSE_list[[29]][[68]]\n", + "[1] 1.839954\n", + "\n", + "$MSE_list[[29]][[69]]\n", + "[1] 5.019789\n", + "\n", + "$MSE_list[[29]][[70]]\n", + "[1] 3.723422\n", + "\n", + "$MSE_list[[29]][[71]]\n", + "[1] 2.155796\n", + "\n", + "$MSE_list[[29]][[72]]\n", + "[1] 4.617939\n", + "\n", + "$MSE_list[[29]][[73]]\n", + "[1] 5.473697\n", + "\n", + "$MSE_list[[29]][[74]]\n", + "[1] 7.792431\n", + "\n", + "$MSE_list[[29]][[75]]\n", + "[1] 5.278946\n", + "\n", + "$MSE_list[[29]][[76]]\n", + "[1] 7.14274\n", + "\n", + "$MSE_list[[29]][[77]]\n", + "[1] 6.563764\n", + "\n", + "$MSE_list[[29]][[78]]\n", + "[1] 5.58384\n", + "\n", + "$MSE_list[[29]][[79]]\n", + "[1] 1.972245\n", + "\n", + "$MSE_list[[29]][[80]]\n", + "[1] 2.172849\n", + "\n", + "$MSE_list[[29]][[81]]\n", + "[1] 2.163768\n", + "\n", + "$MSE_list[[29]][[82]]\n", + "[1] 4.327624\n", + "\n", + "$MSE_list[[29]][[83]]\n", + "[1] 8.939229\n", + "\n", + "$MSE_list[[29]][[84]]\n", + "[1] 1.913503\n", + "\n", + "$MSE_list[[29]][[85]]\n", + "[1] 3.429164\n", + "\n", + "$MSE_list[[29]][[86]]\n", + "[1] 2.531985\n", + "\n", + "$MSE_list[[29]][[87]]\n", + "[1] 0.6385251\n", + "\n", + "$MSE_list[[29]][[88]]\n", + "[1] 2.759495\n", + "\n", + "$MSE_list[[29]][[89]]\n", + "[1] 8.614475\n", + "\n", + "$MSE_list[[29]][[90]]\n", + "[1] 4.500185\n", + "\n", + "$MSE_list[[29]][[91]]\n", + "[1] 5.550002\n", + "\n", + "$MSE_list[[29]][[92]]\n", + "[1] 2.337787\n", + "\n", + "$MSE_list[[29]][[93]]\n", + "[1] 6.178697\n", + "\n", + "$MSE_list[[29]][[94]]\n", + "[1] 5.109324\n", + "\n", + "$MSE_list[[29]][[95]]\n", + "[1] 4.502475\n", + "\n", + "$MSE_list[[29]][[96]]\n", + "[1] 5.911973\n", + "\n", + "$MSE_list[[29]][[97]]\n", + "[1] 7.143111\n", + "\n", + "$MSE_list[[29]][[98]]\n", + "[1] 1.912049\n", + "\n", + "$MSE_list[[29]][[99]]\n", + "[1] 3.939341\n", + "\n", + "$MSE_list[[29]][[100]]\n", + "[1] 6.493859\n", + "\n", + "\n", + "$MSE_list[[30]]\n", + "$MSE_list[[30]][[1]]\n", + "[1] 2.143427\n", + "\n", + "$MSE_list[[30]][[2]]\n", + "[1] 6.39705\n", + "\n", + "$MSE_list[[30]][[3]]\n", + "[1] 9.551731\n", + "\n", + "$MSE_list[[30]][[4]]\n", + "[1] 4.415182\n", + "\n", + "$MSE_list[[30]][[5]]\n", + "[1] 2.172088\n", + "\n", + "$MSE_list[[30]][[6]]\n", + "[1] 1.157688\n", + "\n", + "$MSE_list[[30]][[7]]\n", + "[1] 2.377505\n", + "\n", + "$MSE_list[[30]][[8]]\n", + "[1] 4.218657\n", + "\n", + "$MSE_list[[30]][[9]]\n", + "[1] 5.224296\n", + "\n", + "$MSE_list[[30]][[10]]\n", + "[1] 1.460677\n", + "\n", + "$MSE_list[[30]][[11]]\n", + "[1] 11.69493\n", + "\n", + "$MSE_list[[30]][[12]]\n", + "[1] 3.443626\n", + "\n", + "$MSE_list[[30]][[13]]\n", + "[1] 6.905874\n", + "\n", + "$MSE_list[[30]][[14]]\n", + "[1] 2.641941\n", + "\n", + "$MSE_list[[30]][[15]]\n", + "[1] 6.91903\n", + "\n", + "$MSE_list[[30]][[16]]\n", + "[1] 1.614038\n", + "\n", + "$MSE_list[[30]][[17]]\n", + "[1] 4.341164\n", + "\n", + "$MSE_list[[30]][[18]]\n", + "[1] 2.445649\n", + "\n", + "$MSE_list[[30]][[19]]\n", + "[1] 7.488998\n", + "\n", + "$MSE_list[[30]][[20]]\n", + "[1] 7.53201\n", + "\n", + "$MSE_list[[30]][[21]]\n", + "[1] 6.394389\n", + "\n", + "$MSE_list[[30]][[22]]\n", + "[1] 1.647164\n", + "\n", + "$MSE_list[[30]][[23]]\n", + "[1] 4.826175\n", + "\n", + "$MSE_list[[30]][[24]]\n", + "[1] 1.877081\n", + "\n", + "$MSE_list[[30]][[25]]\n", + "[1] 1.447149\n", + "\n", + "$MSE_list[[30]][[26]]\n", + "[1] 6.316592\n", + "\n", + "$MSE_list[[30]][[27]]\n", + "[1] 4.886382\n", + "\n", + "$MSE_list[[30]][[28]]\n", + "[1] 8.375191\n", + "\n", + "$MSE_list[[30]][[29]]\n", + "[1] 8.058595\n", + "\n", + "$MSE_list[[30]][[30]]\n", + "[1] 5.89408\n", + "\n", + "$MSE_list[[30]][[31]]\n", + "[1] 7.937523\n", + "\n", + "$MSE_list[[30]][[32]]\n", + "[1] 6.445234\n", + "\n", + "$MSE_list[[30]][[33]]\n", + "[1] 8.288089\n", + "\n", + "$MSE_list[[30]][[34]]\n", + "[1] 13.18494\n", + "\n", + "$MSE_list[[30]][[35]]\n", + "[1] 3.931877\n", + "\n", + "$MSE_list[[30]][[36]]\n", + "[1] 2.052388\n", + "\n", + "$MSE_list[[30]][[37]]\n", + "[1] 5.14318\n", + "\n", + "$MSE_list[[30]][[38]]\n", + "[1] 1.463279\n", + "\n", + "$MSE_list[[30]][[39]]\n", + "[1] 0.8265722\n", + "\n", + "$MSE_list[[30]][[40]]\n", + "[1] 0.6183681\n", + "\n", + "$MSE_list[[30]][[41]]\n", + "[1] 3.73251\n", + "\n", + "$MSE_list[[30]][[42]]\n", + "[1] 2.148924\n", + "\n", + "$MSE_list[[30]][[43]]\n", + "[1] 1.408744\n", + "\n", + "$MSE_list[[30]][[44]]\n", + "[1] 3.751116\n", + "\n", + "$MSE_list[[30]][[45]]\n", + "[1] 1.515939\n", + "\n", + "$MSE_list[[30]][[46]]\n", + "[1] 0.6254341\n", + "\n", + "$MSE_list[[30]][[47]]\n", + "[1] 3.112679\n", + "\n", + "$MSE_list[[30]][[48]]\n", + "[1] 7.297641\n", + "\n", + "$MSE_list[[30]][[49]]\n", + "[1] 4.011051\n", + "\n", + "$MSE_list[[30]][[50]]\n", + "[1] 6.276923\n", + "\n", + "$MSE_list[[30]][[51]]\n", + "[1] 2.013434\n", + "\n", + "$MSE_list[[30]][[52]]\n", + "[1] 5.534395\n", + "\n", + "$MSE_list[[30]][[53]]\n", + "[1] 2.947264\n", + "\n", + "$MSE_list[[30]][[54]]\n", + "[1] 2.373957\n", + "\n", + "$MSE_list[[30]][[55]]\n", + "[1] 5.114001\n", + "\n", + "$MSE_list[[30]][[56]]\n", + "[1] 3.682747\n", + "\n", + "$MSE_list[[30]][[57]]\n", + "[1] 6.605637\n", + "\n", + "$MSE_list[[30]][[58]]\n", + "[1] 5.117767\n", + "\n", + "$MSE_list[[30]][[59]]\n", + "[1] 4.999252\n", + "\n", + "$MSE_list[[30]][[60]]\n", + "[1] 5.657799\n", + "\n", + "$MSE_list[[30]][[61]]\n", + "[1] 2.854482\n", + "\n", + "$MSE_list[[30]][[62]]\n", + "[1] 5.904269\n", + "\n", + "$MSE_list[[30]][[63]]\n", + "[1] 5.447348\n", + "\n", + "$MSE_list[[30]][[64]]\n", + "[1] 4.253302\n", + "\n", + "$MSE_list[[30]][[65]]\n", + "[1] 4.772582\n", + "\n", + "$MSE_list[[30]][[66]]\n", + "[1] 7.109303\n", + "\n", + "$MSE_list[[30]][[67]]\n", + "[1] 8.334847\n", + "\n", + "$MSE_list[[30]][[68]]\n", + "[1] 4.691555\n", + "\n", + "$MSE_list[[30]][[69]]\n", + "[1] 7.533971\n", + "\n", + "$MSE_list[[30]][[70]]\n", + "[1] 1.051669\n", + "\n", + "$MSE_list[[30]][[71]]\n", + "[1] 11.35836\n", + "\n", + "$MSE_list[[30]][[72]]\n", + "[1] 4.023242\n", + "\n", + "$MSE_list[[30]][[73]]\n", + "[1] 1.405771\n", + "\n", + "$MSE_list[[30]][[74]]\n", + "[1] 2.139195\n", + "\n", + "$MSE_list[[30]][[75]]\n", + "[1] 10.68541\n", + "\n", + "$MSE_list[[30]][[76]]\n", + "[1] 1.985515\n", + "\n", + "$MSE_list[[30]][[77]]\n", + "[1] 6.315138\n", + "\n", + "$MSE_list[[30]][[78]]\n", + "[1] 4.110622\n", + "\n", + "$MSE_list[[30]][[79]]\n", + "[1] 6.849462\n", + "\n", + "$MSE_list[[30]][[80]]\n", + "[1] 3.712716\n", + "\n", + "$MSE_list[[30]][[81]]\n", + "[1] 3.27749\n", + "\n", + "$MSE_list[[30]][[82]]\n", + "[1] 1.506253\n", + "\n", + "$MSE_list[[30]][[83]]\n", + "[1] 4.71663\n", + "\n", + "$MSE_list[[30]][[84]]\n", + "[1] 6.159263\n", + "\n", + "$MSE_list[[30]][[85]]\n", + "[1] 1.771446\n", + "\n", + "$MSE_list[[30]][[86]]\n", + "[1] 6.852918\n", + "\n", + "$MSE_list[[30]][[87]]\n", + "[1] 7.646587\n", + "\n", + "$MSE_list[[30]][[88]]\n", + "[1] 4.739757\n", + "\n", + "$MSE_list[[30]][[89]]\n", + "[1] 7.892104\n", + "\n", + "$MSE_list[[30]][[90]]\n", + "[1] 9.715905\n", + "\n", + "$MSE_list[[30]][[91]]\n", + "[1] 5.07934\n", + "\n", + "$MSE_list[[30]][[92]]\n", + "[1] 1.229943\n", + "\n", + "$MSE_list[[30]][[93]]\n", + "[1] 7.773692\n", + "\n", + "$MSE_list[[30]][[94]]\n", + "[1] 3.155977\n", + "\n", + "$MSE_list[[30]][[95]]\n", + "[1] 6.594136\n", + "\n", + "$MSE_list[[30]][[96]]\n", + "[1] 7.822527\n", + "\n", + "$MSE_list[[30]][[97]]\n", + "[1] 2.645847\n", + "\n", + "$MSE_list[[30]][[98]]\n", + "[1] 2.124136\n", + "\n", + "$MSE_list[[30]][[99]]\n", + "[1] 6.72229\n", + "\n", + "$MSE_list[[30]][[100]]\n", + "[1] 5.117834\n", + "\n", + "\n", + "$MSE_list[[31]]\n", + "$MSE_list[[31]][[1]]\n", + "[1] 1.666618\n", + "\n", + "$MSE_list[[31]][[2]]\n", + "[1] 3.512906\n", + "\n", + "$MSE_list[[31]][[3]]\n", + "[1] 1.118998\n", + "\n", + "$MSE_list[[31]][[4]]\n", + "[1] 7.282493\n", + "\n", + "$MSE_list[[31]][[5]]\n", + "[1] 3.824105\n", + "\n", + "$MSE_list[[31]][[6]]\n", + "[1] 1.983031\n", + "\n", + "$MSE_list[[31]][[7]]\n", + "[1] 7.929529\n", + "\n", + "$MSE_list[[31]][[8]]\n", + "[1] 2.170113\n", + "\n", + "$MSE_list[[31]][[9]]\n", + "[1] 10.31839\n", + "\n", + "$MSE_list[[31]][[10]]\n", + "[1] 1.756614\n", + "\n", + "$MSE_list[[31]][[11]]\n", + "[1] 3.596567\n", + "\n", + "$MSE_list[[31]][[12]]\n", + "[1] 5.142374\n", + "\n", + "$MSE_list[[31]][[13]]\n", + "[1] 8.698539\n", + "\n", + "$MSE_list[[31]][[14]]\n", + "[1] 11.63093\n", + "\n", + "$MSE_list[[31]][[15]]\n", + "[1] 1.177903\n", + "\n", + "$MSE_list[[31]][[16]]\n", + "[1] 5.675561\n", + "\n", + "$MSE_list[[31]][[17]]\n", + "[1] 7.933101\n", + "\n", + "$MSE_list[[31]][[18]]\n", + "[1] 8.486558\n", + "\n", + "$MSE_list[[31]][[19]]\n", + "[1] 0.9146851\n", + "\n", + "$MSE_list[[31]][[20]]\n", + "[1] 0.7989217\n", + "\n", + "$MSE_list[[31]][[21]]\n", + "[1] 7.038125\n", + "\n", + "$MSE_list[[31]][[22]]\n", + "[1] 1.386788\n", + "\n", + "$MSE_list[[31]][[23]]\n", + "[1] 3.48281\n", + "\n", + "$MSE_list[[31]][[24]]\n", + "[1] 4.595951\n", + "\n", + "$MSE_list[[31]][[25]]\n", + "[1] 3.960721\n", + "\n", + "$MSE_list[[31]][[26]]\n", + "[1] 6.56346\n", + "\n", + "$MSE_list[[31]][[27]]\n", + "[1] 1.153658\n", + "\n", + "$MSE_list[[31]][[28]]\n", + "[1] 8.477743\n", + "\n", + "$MSE_list[[31]][[29]]\n", + "[1] 5.988947\n", + "\n", + "$MSE_list[[31]][[30]]\n", + "[1] 9.173275\n", + "\n", + "$MSE_list[[31]][[31]]\n", + "[1] 1.237048\n", + "\n", + "$MSE_list[[31]][[32]]\n", + "[1] 4.524777\n", + "\n", + "$MSE_list[[31]][[33]]\n", + "[1] 0.9865507\n", + "\n", + "$MSE_list[[31]][[34]]\n", + "[1] 4.0968\n", + "\n", + "$MSE_list[[31]][[35]]\n", + "[1] 3.162122\n", + "\n", + "$MSE_list[[31]][[36]]\n", + "[1] 1.351204\n", + "\n", + "$MSE_list[[31]][[37]]\n", + "[1] 2.277974\n", + "\n", + "$MSE_list[[31]][[38]]\n", + "[1] 5.763295\n", + "\n", + "$MSE_list[[31]][[39]]\n", + "[1] 5.43392\n", + "\n", + "$MSE_list[[31]][[40]]\n", + "[1] 9.339403\n", + "\n", + "$MSE_list[[31]][[41]]\n", + "[1] 3.381729\n", + "\n", + "$MSE_list[[31]][[42]]\n", + "[1] 1.517158\n", + "\n", + "$MSE_list[[31]][[43]]\n", + "[1] 1.031926\n", + "\n", + "$MSE_list[[31]][[44]]\n", + "[1] 0.7674453\n", + "\n", + "$MSE_list[[31]][[45]]\n", + "[1] 3.790441\n", + "\n", + "$MSE_list[[31]][[46]]\n", + "[1] 3.400982\n", + "\n", + "$MSE_list[[31]][[47]]\n", + "[1] 8.478562\n", + "\n", + "$MSE_list[[31]][[48]]\n", + "[1] 5.115156\n", + "\n", + "$MSE_list[[31]][[49]]\n", + "[1] 8.072121\n", + "\n", + "$MSE_list[[31]][[50]]\n", + "[1] 1.028779\n", + "\n", + "$MSE_list[[31]][[51]]\n", + "[1] 6.018151\n", + "\n", + "$MSE_list[[31]][[52]]\n", + "[1] 1.359661\n", + "\n", + "$MSE_list[[31]][[53]]\n", + "[1] 4.667635\n", + "\n", + "$MSE_list[[31]][[54]]\n", + "[1] 1.47702\n", + "\n", + "$MSE_list[[31]][[55]]\n", + "[1] 1.30732\n", + "\n", + "$MSE_list[[31]][[56]]\n", + "[1] 1.244465\n", + "\n", + "$MSE_list[[31]][[57]]\n", + "[1] 4.175483\n", + "\n", + "$MSE_list[[31]][[58]]\n", + "[1] 1.788767\n", + "\n", + "$MSE_list[[31]][[59]]\n", + "[1] 9.499177\n", + "\n", + "$MSE_list[[31]][[60]]\n", + "[1] 1.003153\n", + "\n", + "$MSE_list[[31]][[61]]\n", + "[1] 2.342193\n", + "\n", + "$MSE_list[[31]][[62]]\n", + "[1] 1.391431\n", + "\n", + "$MSE_list[[31]][[63]]\n", + "[1] 6.333125\n", + "\n", + "$MSE_list[[31]][[64]]\n", + "[1] 1.934788\n", + "\n", + "$MSE_list[[31]][[65]]\n", + "[1] 7.188057\n", + "\n", + "$MSE_list[[31]][[66]]\n", + "[1] 2.427611\n", + "\n", + "$MSE_list[[31]][[67]]\n", + "[1] 9.130999\n", + "\n", + "$MSE_list[[31]][[68]]\n", + "[1] 1.12391\n", + "\n", + "$MSE_list[[31]][[69]]\n", + "[1] 3.773287\n", + "\n", + "$MSE_list[[31]][[70]]\n", + "[1] 5.312211\n", + "\n", + "$MSE_list[[31]][[71]]\n", + "[1] 8.68525\n", + "\n", + "$MSE_list[[31]][[72]]\n", + "[1] 1.633366\n", + "\n", + "$MSE_list[[31]][[73]]\n", + "[1] 1.103499\n", + "\n", + "$MSE_list[[31]][[74]]\n", + "[1] 5.38669\n", + "\n", + "$MSE_list[[31]][[75]]\n", + "[1] 1.166484\n", + "\n", + "$MSE_list[[31]][[76]]\n", + "[1] 0.7383782\n", + "\n", + "$MSE_list[[31]][[77]]\n", + "[1] 4.779137\n", + "\n", + "$MSE_list[[31]][[78]]\n", + "[1] 6.225594\n", + "\n", + "$MSE_list[[31]][[79]]\n", + "[1] 7.745087\n", + "\n", + "$MSE_list[[31]][[80]]\n", + "[1] 1.12585\n", + "\n", + "$MSE_list[[31]][[81]]\n", + "[1] 1.763025\n", + "\n", + "$MSE_list[[31]][[82]]\n", + "[1] 4.931657\n", + "\n", + "$MSE_list[[31]][[83]]\n", + "[1] 1.3796\n", + "\n", + "$MSE_list[[31]][[84]]\n", + "[1] 6.379679\n", + "\n", + "$MSE_list[[31]][[85]]\n", + "[1] 2.618314\n", + "\n", + "$MSE_list[[31]][[86]]\n", + "[1] 1.714903\n", + "\n", + "$MSE_list[[31]][[87]]\n", + "[1] 4.092477\n", + "\n", + "$MSE_list[[31]][[88]]\n", + "[1] 7.794689\n", + "\n", + "$MSE_list[[31]][[89]]\n", + "[1] 0.9678382\n", + "\n", + "$MSE_list[[31]][[90]]\n", + "[1] 4.746492\n", + "\n", + "$MSE_list[[31]][[91]]\n", + "[1] 8.962941\n", + "\n", + "$MSE_list[[31]][[92]]\n", + "[1] 1.782979\n", + "\n", + "$MSE_list[[31]][[93]]\n", + "[1] 3.74642\n", + "\n", + "$MSE_list[[31]][[94]]\n", + "[1] 2.958748\n", + "\n", + "$MSE_list[[31]][[95]]\n", + "[1] 2.535947\n", + "\n", + "$MSE_list[[31]][[96]]\n", + "[1] 4.917685\n", + "\n", + "$MSE_list[[31]][[97]]\n", + "[1] 5.141835\n", + "\n", + "$MSE_list[[31]][[98]]\n", + "[1] 5.685573\n", + "\n", + "$MSE_list[[31]][[99]]\n", + "[1] 7.228321\n", + "\n", + "$MSE_list[[31]][[100]]\n", + "[1] 5.837091\n", + "\n", + "\n", + "$MSE_list[[32]]\n", + "$MSE_list[[32]][[1]]\n", + "[1] 2.865998\n", + "\n", + "$MSE_list[[32]][[2]]\n", + "[1] 6.114394\n", + "\n", + "$MSE_list[[32]][[3]]\n", + "[1] 5.074951\n", + "\n", + "$MSE_list[[32]][[4]]\n", + "[1] 3.919836\n", + "\n", + "$MSE_list[[32]][[5]]\n", + "[1] 7.963315\n", + "\n", + "$MSE_list[[32]][[6]]\n", + "[1] 5.050436\n", + "\n", + "$MSE_list[[32]][[7]]\n", + "[1] 7.115794\n", + "\n", + "$MSE_list[[32]][[8]]\n", + "[1] 7.145648\n", + "\n", + "$MSE_list[[32]][[9]]\n", + "[1] 5.138015\n", + "\n", + "$MSE_list[[32]][[10]]\n", + "[1] 8.286256\n", + "\n", + "$MSE_list[[32]][[11]]\n", + "[1] 8.112212\n", + "\n", + "$MSE_list[[32]][[12]]\n", + "[1] 2.477706\n", + "\n", + "$MSE_list[[32]][[13]]\n", + "[1] 9.420341\n", + "\n", + "$MSE_list[[32]][[14]]\n", + "[1] 5.471695\n", + "\n", + "$MSE_list[[32]][[15]]\n", + "[1] 5.439007\n", + "\n", + "$MSE_list[[32]][[16]]\n", + "[1] 7.704961\n", + "\n", + "$MSE_list[[32]][[17]]\n", + "[1] 7.078692\n", + "\n", + "$MSE_list[[32]][[18]]\n", + "[1] 10.31762\n", + "\n", + "$MSE_list[[32]][[19]]\n", + "[1] 5.898555\n", + "\n", + "$MSE_list[[32]][[20]]\n", + "[1] 3.693561\n", + "\n", + "$MSE_list[[32]][[21]]\n", + "[1] 8.435876\n", + "\n", + "$MSE_list[[32]][[22]]\n", + "[1] 7.594226\n", + "\n", + "$MSE_list[[32]][[23]]\n", + "[1] 7.858155\n", + "\n", + "$MSE_list[[32]][[24]]\n", + "[1] 12.13751\n", + "\n", + "$MSE_list[[32]][[25]]\n", + "[1] 1.544486\n", + "\n", + "$MSE_list[[32]][[26]]\n", + "[1] 3.580641\n", + "\n", + "$MSE_list[[32]][[27]]\n", + "[1] 5.292527\n", + "\n", + "$MSE_list[[32]][[28]]\n", + "[1] 10.10636\n", + "\n", + "$MSE_list[[32]][[29]]\n", + "[1] 8.826745\n", + "\n", + "$MSE_list[[32]][[30]]\n", + "[1] 7.889038\n", + "\n", + "$MSE_list[[32]][[31]]\n", + "[1] 4.21819\n", + "\n", + "$MSE_list[[32]][[32]]\n", + "[1] 1.991048\n", + "\n", + "$MSE_list[[32]][[33]]\n", + "[1] 5.356372\n", + "\n", + "$MSE_list[[32]][[34]]\n", + "[1] 7.755347\n", + "\n", + "$MSE_list[[32]][[35]]\n", + "[1] 6.185332\n", + "\n", + "$MSE_list[[32]][[36]]\n", + "[1] 6.352115\n", + "\n", + "$MSE_list[[32]][[37]]\n", + "[1] 4.05519\n", + "\n", + "$MSE_list[[32]][[38]]\n", + "[1] 9.022275\n", + "\n", + "$MSE_list[[32]][[39]]\n", + "[1] 4.610669\n", + "\n", + "$MSE_list[[32]][[40]]\n", + "[1] 5.452813\n", + "\n", + "$MSE_list[[32]][[41]]\n", + "[1] 3.064809\n", + "\n", + "$MSE_list[[32]][[42]]\n", + "[1] 1.111895\n", + "\n", + "$MSE_list[[32]][[43]]\n", + "[1] 9.238203\n", + "\n", + "$MSE_list[[32]][[44]]\n", + "[1] 1.841771\n", + "\n", + "$MSE_list[[32]][[45]]\n", + "[1] 3.147949\n", + "\n", + "$MSE_list[[32]][[46]]\n", + "[1] 7.201409\n", + "\n", + "$MSE_list[[32]][[47]]\n", + "[1] 6.577898\n", + "\n", + "$MSE_list[[32]][[48]]\n", + "[1] 7.135043\n", + "\n", + "$MSE_list[[32]][[49]]\n", + "[1] 2.232673\n", + "\n", + "$MSE_list[[32]][[50]]\n", + "[1] 8.990974\n", + "\n", + "$MSE_list[[32]][[51]]\n", + "[1] 1.72273\n", + "\n", + "$MSE_list[[32]][[52]]\n", + "[1] 6.070183\n", + "\n", + "$MSE_list[[32]][[53]]\n", + "[1] 5.359167\n", + "\n", + "$MSE_list[[32]][[54]]\n", + "[1] 9.500098\n", + "\n", + "$MSE_list[[32]][[55]]\n", + "[1] 5.470567\n", + "\n", + "$MSE_list[[32]][[56]]\n", + "[1] 6.162112\n", + "\n", + "$MSE_list[[32]][[57]]\n", + "[1] 1.173538\n", + "\n", + "$MSE_list[[32]][[58]]\n", + "[1] 2.992691\n", + "\n", + "$MSE_list[[32]][[59]]\n", + "[1] 6.441315\n", + "\n", + "$MSE_list[[32]][[60]]\n", + "[1] 1.075374\n", + "\n", + "$MSE_list[[32]][[61]]\n", + "[1] 4.825454\n", + "\n", + "$MSE_list[[32]][[62]]\n", + "[1] 7.591105\n", + "\n", + "$MSE_list[[32]][[63]]\n", + "[1] 11.12157\n", + "\n", + "$MSE_list[[32]][[64]]\n", + "[1] 7.308032\n", + "\n", + "$MSE_list[[32]][[65]]\n", + "[1] 5.414478\n", + "\n", + "$MSE_list[[32]][[66]]\n", + "[1] 4.833738\n", + "\n", + "$MSE_list[[32]][[67]]\n", + "[1] 4.219755\n", + "\n", + "$MSE_list[[32]][[68]]\n", + "[1] 8.687487\n", + "\n", + "$MSE_list[[32]][[69]]\n", + "[1] 4.85916\n", + "\n", + "$MSE_list[[32]][[70]]\n", + "[1] 5.79144\n", + "\n", + "$MSE_list[[32]][[71]]\n", + "[1] 4.679799\n", + "\n", + "$MSE_list[[32]][[72]]\n", + "[1] 10.45911\n", + "\n", + "$MSE_list[[32]][[73]]\n", + "[1] 7.092354\n", + "\n", + "$MSE_list[[32]][[74]]\n", + "[1] 12.3506\n", + "\n", + "$MSE_list[[32]][[75]]\n", + "[1] 6.311649\n", + "\n", + "$MSE_list[[32]][[76]]\n", + "[1] 6.278365\n", + "\n", + "$MSE_list[[32]][[77]]\n", + "[1] 6.782386\n", + "\n", + "$MSE_list[[32]][[78]]\n", + "[1] 6.414682\n", + "\n", + "$MSE_list[[32]][[79]]\n", + "[1] 4.517401\n", + "\n", + "$MSE_list[[32]][[80]]\n", + "[1] 7.202735\n", + "\n", + "$MSE_list[[32]][[81]]\n", + "[1] 10.03467\n", + "\n", + "$MSE_list[[32]][[82]]\n", + "[1] 3.425254\n", + "\n", + "$MSE_list[[32]][[83]]\n", + "[1] 1.800687\n", + "\n", + "$MSE_list[[32]][[84]]\n", + "[1] 9.462526\n", + "\n", + "$MSE_list[[32]][[85]]\n", + "[1] 4.377396\n", + "\n", + "$MSE_list[[32]][[86]]\n", + "[1] 4.442456\n", + "\n", + "$MSE_list[[32]][[87]]\n", + "[1] 8.567538\n", + "\n", + "$MSE_list[[32]][[88]]\n", + "[1] 7.085616\n", + "\n", + "$MSE_list[[32]][[89]]\n", + "[1] 5.006094\n", + "\n", + "$MSE_list[[32]][[90]]\n", + "[1] 3.846527\n", + "\n", + "$MSE_list[[32]][[91]]\n", + "[1] 3.730347\n", + "\n", + "$MSE_list[[32]][[92]]\n", + "[1] 5.961093\n", + "\n", + "$MSE_list[[32]][[93]]\n", + "[1] 4.042911\n", + "\n", + "$MSE_list[[32]][[94]]\n", + "[1] 11.83989\n", + "\n", + "$MSE_list[[32]][[95]]\n", + "[1] 6.09748\n", + "\n", + "$MSE_list[[32]][[96]]\n", + "[1] 3.3209\n", + "\n", + "$MSE_list[[32]][[97]]\n", + "[1] 8.20576\n", + "\n", + "$MSE_list[[32]][[98]]\n", + "[1] 5.894644\n", + "\n", + "$MSE_list[[32]][[99]]\n", + "[1] 4.423142\n", + "\n", + "$MSE_list[[32]][[100]]\n", + "[1] 8.797266\n", + "\n", + "\n", + "$MSE_list[[33]]\n", + "$MSE_list[[33]][[1]]\n", + "[1] 1.874484\n", + "\n", + "$MSE_list[[33]][[2]]\n", + "[1] 8.389896\n", + "\n", + "$MSE_list[[33]][[3]]\n", + "[1] 1.649155\n", + "\n", + "$MSE_list[[33]][[4]]\n", + "[1] 2.359966\n", + "\n", + "$MSE_list[[33]][[5]]\n", + "[1] 2.909596\n", + "\n", + "$MSE_list[[33]][[6]]\n", + "[1] 4.237987\n", + "\n", + "$MSE_list[[33]][[7]]\n", + "[1] 3.483013\n", + "\n", + "$MSE_list[[33]][[8]]\n", + "[1] 2.077966\n", + "\n", + "$MSE_list[[33]][[9]]\n", + "[1] 7.978486\n", + "\n", + "$MSE_list[[33]][[10]]\n", + "[1] 1.152176\n", + "\n", + "$MSE_list[[33]][[11]]\n", + "[1] 1.277062\n", + "\n", + "$MSE_list[[33]][[12]]\n", + "[1] 2.515657\n", + "\n", + "$MSE_list[[33]][[13]]\n", + "[1] 3.890585\n", + "\n", + "$MSE_list[[33]][[14]]\n", + "[1] 4.437212\n", + "\n", + "$MSE_list[[33]][[15]]\n", + "[1] 1.884561\n", + "\n", + "$MSE_list[[33]][[16]]\n", + "[1] 5.533951\n", + "\n", + "$MSE_list[[33]][[17]]\n", + "[1] 5.609719\n", + "\n", + "$MSE_list[[33]][[18]]\n", + "[1] 3.184992\n", + "\n", + "$MSE_list[[33]][[19]]\n", + "[1] 6.472177\n", + "\n", + "$MSE_list[[33]][[20]]\n", + "[1] 4.488758\n", + "\n", + "$MSE_list[[33]][[21]]\n", + "[1] 4.987909\n", + "\n", + "$MSE_list[[33]][[22]]\n", + "[1] 2.996171\n", + "\n", + "$MSE_list[[33]][[23]]\n", + "[1] 1.625431\n", + "\n", + "$MSE_list[[33]][[24]]\n", + "[1] 5.435973\n", + "\n", + "$MSE_list[[33]][[25]]\n", + "[1] 6.294008\n", + "\n", + "$MSE_list[[33]][[26]]\n", + "[1] 4.646628\n", + "\n", + "$MSE_list[[33]][[27]]\n", + "[1] 4.516965\n", + "\n", + "$MSE_list[[33]][[28]]\n", + "[1] 5.014791\n", + "\n", + "$MSE_list[[33]][[29]]\n", + "[1] 3.422712\n", + "\n", + "$MSE_list[[33]][[30]]\n", + "[1] 3.734911\n", + "\n", + "$MSE_list[[33]][[31]]\n", + "[1] 3.783136\n", + "\n", + "$MSE_list[[33]][[32]]\n", + "[1] 4.265213\n", + "\n", + "$MSE_list[[33]][[33]]\n", + "[1] 3.45665\n", + "\n", + "$MSE_list[[33]][[34]]\n", + "[1] 5.165258\n", + "\n", + "$MSE_list[[33]][[35]]\n", + "[1] 4.640173\n", + "\n", + "$MSE_list[[33]][[36]]\n", + "[1] 7.167022\n", + "\n", + "$MSE_list[[33]][[37]]\n", + "[1] 4.39708\n", + "\n", + "$MSE_list[[33]][[38]]\n", + "[1] 1.824191\n", + "\n", + "$MSE_list[[33]][[39]]\n", + "[1] 5.494372\n", + "\n", + "$MSE_list[[33]][[40]]\n", + "[1] 2.645897\n", + "\n", + "$MSE_list[[33]][[41]]\n", + "[1] 13.14012\n", + "\n", + "$MSE_list[[33]][[42]]\n", + "[1] 1.064267\n", + "\n", + "$MSE_list[[33]][[43]]\n", + "[1] 5.444456\n", + "\n", + "$MSE_list[[33]][[44]]\n", + "[1] 6.3508\n", + "\n", + "$MSE_list[[33]][[45]]\n", + "[1] 5.22513\n", + "\n", + "$MSE_list[[33]][[46]]\n", + "[1] 7.280127\n", + "\n", + "$MSE_list[[33]][[47]]\n", + "[1] 6.479972\n", + "\n", + "$MSE_list[[33]][[48]]\n", + "[1] 11.77236\n", + "\n", + "$MSE_list[[33]][[49]]\n", + "[1] 1.770127\n", + "\n", + "$MSE_list[[33]][[50]]\n", + "[1] 1.567294\n", + "\n", + "$MSE_list[[33]][[51]]\n", + "[1] 3.815835\n", + "\n", + "$MSE_list[[33]][[52]]\n", + "[1] 0.8999408\n", + "\n", + "$MSE_list[[33]][[53]]\n", + "[1] 6.450594\n", + "\n", + "$MSE_list[[33]][[54]]\n", + "[1] 3.549915\n", + "\n", + "$MSE_list[[33]][[55]]\n", + "[1] 3.965023\n", + "\n", + "$MSE_list[[33]][[56]]\n", + "[1] 4.41588\n", + "\n", + "$MSE_list[[33]][[57]]\n", + "[1] 1.722121\n", + "\n", + "$MSE_list[[33]][[58]]\n", + "[1] 1.447475\n", + "\n", + "$MSE_list[[33]][[59]]\n", + "[1] 1.280832\n", + "\n", + "$MSE_list[[33]][[60]]\n", + "[1] 7.559922\n", + "\n", + "$MSE_list[[33]][[61]]\n", + "[1] 1.65881\n", + "\n", + "$MSE_list[[33]][[62]]\n", + "[1] 2.208302\n", + "\n", + "$MSE_list[[33]][[63]]\n", + "[1] 5.696821\n", + "\n", + "$MSE_list[[33]][[64]]\n", + "[1] 2.441775\n", + "\n", + "$MSE_list[[33]][[65]]\n", + "[1] 8.320804\n", + "\n", + "$MSE_list[[33]][[66]]\n", + "[1] 1.773974\n", + "\n", + "$MSE_list[[33]][[67]]\n", + "[1] 6.82697\n", + "\n", + "$MSE_list[[33]][[68]]\n", + "[1] 5.298212\n", + "\n", + "$MSE_list[[33]][[69]]\n", + "[1] 9.872573\n", + "\n", + "$MSE_list[[33]][[70]]\n", + "[1] 4.492847\n", + "\n", + "$MSE_list[[33]][[71]]\n", + "[1] 7.77885\n", + "\n", + "$MSE_list[[33]][[72]]\n", + "[1] 7.419884\n", + "\n", + "$MSE_list[[33]][[73]]\n", + "[1] 4.086972\n", + "\n", + "$MSE_list[[33]][[74]]\n", + "[1] 10.12437\n", + "\n", + "$MSE_list[[33]][[75]]\n", + "[1] 4.600998\n", + "\n", + "$MSE_list[[33]][[76]]\n", + "[1] 4.41386\n", + "\n", + "$MSE_list[[33]][[77]]\n", + "[1] 4.215449\n", + "\n", + "$MSE_list[[33]][[78]]\n", + "[1] 6.752721\n", + "\n", + "$MSE_list[[33]][[79]]\n", + "[1] 4.875634\n", + "\n", + "$MSE_list[[33]][[80]]\n", + "[1] 2.034196\n", + "\n", + "$MSE_list[[33]][[81]]\n", + "[1] 1.372566\n", + "\n", + "$MSE_list[[33]][[82]]\n", + "[1] 6.296143\n", + "\n", + "$MSE_list[[33]][[83]]\n", + "[1] 4.129628\n", + "\n", + "$MSE_list[[33]][[84]]\n", + "[1] 7.242994\n", + "\n", + "$MSE_list[[33]][[85]]\n", + "[1] 1.489271\n", + "\n", + "$MSE_list[[33]][[86]]\n", + "[1] 1.611399\n", + "\n", + "$MSE_list[[33]][[87]]\n", + "[1] 3.390823\n", + "\n", + "$MSE_list[[33]][[88]]\n", + "[1] 5.556294\n", + "\n", + "$MSE_list[[33]][[89]]\n", + "[1] 3.683561\n", + "\n", + "$MSE_list[[33]][[90]]\n", + "[1] 4.563675\n", + "\n", + "$MSE_list[[33]][[91]]\n", + "[1] 9.63555\n", + "\n", + "$MSE_list[[33]][[92]]\n", + "[1] 3.649818\n", + "\n", + "$MSE_list[[33]][[93]]\n", + "[1] 4.255109\n", + "\n", + "$MSE_list[[33]][[94]]\n", + "[1] 4.226791\n", + "\n", + "$MSE_list[[33]][[95]]\n", + "[1] 6.9598\n", + "\n", + "$MSE_list[[33]][[96]]\n", + "[1] 1.699226\n", + "\n", + "$MSE_list[[33]][[97]]\n", + "[1] 1.737202\n", + "\n", + "$MSE_list[[33]][[98]]\n", + "[1] 2.979608\n", + "\n", + "$MSE_list[[33]][[99]]\n", + "[1] 5.506276\n", + "\n", + "$MSE_list[[33]][[100]]\n", + "[1] 3.736825\n", + "\n", + "\n", + "$MSE_list[[34]]\n", + "$MSE_list[[34]][[1]]\n", + "[1] 5.668092\n", + "\n", + "$MSE_list[[34]][[2]]\n", + "[1] 1.761746\n", + "\n", + "$MSE_list[[34]][[3]]\n", + "[1] 3.918965\n", + "\n", + "$MSE_list[[34]][[4]]\n", + "[1] 4.562113\n", + "\n", + "$MSE_list[[34]][[5]]\n", + "[1] 3.075624\n", + "\n", + "$MSE_list[[34]][[6]]\n", + "[1] 6.751276\n", + "\n", + "$MSE_list[[34]][[7]]\n", + "[1] 3.805034\n", + "\n", + "$MSE_list[[34]][[8]]\n", + "[1] 6.282658\n", + "\n", + "$MSE_list[[34]][[9]]\n", + "[1] 5.071816\n", + "\n", + "$MSE_list[[34]][[10]]\n", + "[1] 4.227912\n", + "\n", + "$MSE_list[[34]][[11]]\n", + "[1] 4.83319\n", + "\n", + "$MSE_list[[34]][[12]]\n", + "[1] 3.334998\n", + "\n", + "$MSE_list[[34]][[13]]\n", + "[1] 5.867328\n", + "\n", + "$MSE_list[[34]][[14]]\n", + "[1] 8.279047\n", + "\n", + "$MSE_list[[34]][[15]]\n", + "[1] 5.28656\n", + "\n", + "$MSE_list[[34]][[16]]\n", + "[1] 5.714989\n", + "\n", + "$MSE_list[[34]][[17]]\n", + "[1] 1.212408\n", + "\n", + "$MSE_list[[34]][[18]]\n", + "[1] 4.83516\n", + "\n", + "$MSE_list[[34]][[19]]\n", + "[1] 6.585483\n", + "\n", + "$MSE_list[[34]][[20]]\n", + "[1] 7.005758\n", + "\n", + "$MSE_list[[34]][[21]]\n", + "[1] 3.245174\n", + "\n", + "$MSE_list[[34]][[22]]\n", + "[1] 2.655156\n", + "\n", + "$MSE_list[[34]][[23]]\n", + "[1] 3.285748\n", + "\n", + "$MSE_list[[34]][[24]]\n", + "[1] 5.848571\n", + "\n", + "$MSE_list[[34]][[25]]\n", + "[1] 6.978722\n", + "\n", + "$MSE_list[[34]][[26]]\n", + "[1] 6.22815\n", + "\n", + "$MSE_list[[34]][[27]]\n", + "[1] 4.73399\n", + "\n", + "$MSE_list[[34]][[28]]\n", + "[1] 3.358216\n", + "\n", + "$MSE_list[[34]][[29]]\n", + "[1] 4.463949\n", + "\n", + "$MSE_list[[34]][[30]]\n", + "[1] 6.574268\n", + "\n", + "$MSE_list[[34]][[31]]\n", + "[1] 2.957516\n", + "\n", + "$MSE_list[[34]][[32]]\n", + "[1] 2.012125\n", + "\n", + "$MSE_list[[34]][[33]]\n", + "[1] 4.783854\n", + "\n", + "$MSE_list[[34]][[34]]\n", + "[1] 3.427526\n", + "\n", + "$MSE_list[[34]][[35]]\n", + "[1] 3.401199\n", + "\n", + "$MSE_list[[34]][[36]]\n", + "[1] 4.498466\n", + "\n", + "$MSE_list[[34]][[37]]\n", + "[1] 3.750626\n", + "\n", + "$MSE_list[[34]][[38]]\n", + "[1] 5.405793\n", + "\n", + "$MSE_list[[34]][[39]]\n", + "[1] 7.2552\n", + "\n", + "$MSE_list[[34]][[40]]\n", + "[1] 2.329469\n", + "\n", + "$MSE_list[[34]][[41]]\n", + "[1] 4.871333\n", + "\n", + "$MSE_list[[34]][[42]]\n", + "[1] 5.071129\n", + "\n", + "$MSE_list[[34]][[43]]\n", + "[1] 8.357332\n", + "\n", + "$MSE_list[[34]][[44]]\n", + "[1] 1.662422\n", + "\n", + "$MSE_list[[34]][[45]]\n", + "[1] 6.701685\n", + "\n", + "$MSE_list[[34]][[46]]\n", + "[1] 7.860782\n", + "\n", + "$MSE_list[[34]][[47]]\n", + "[1] 2.344229\n", + "\n", + "$MSE_list[[34]][[48]]\n", + "[1] 3.729433\n", + "\n", + "$MSE_list[[34]][[49]]\n", + "[1] 1.675717\n", + "\n", + "$MSE_list[[34]][[50]]\n", + "[1] 5.427756\n", + "\n", + "$MSE_list[[34]][[51]]\n", + "[1] 7.470647\n", + "\n", + "$MSE_list[[34]][[52]]\n", + "[1] 3.603356\n", + "\n", + "$MSE_list[[34]][[53]]\n", + "[1] 5.545455\n", + "\n", + "$MSE_list[[34]][[54]]\n", + "[1] 2.913323\n", + "\n", + "$MSE_list[[34]][[55]]\n", + "[1] 6.13699\n", + "\n", + "$MSE_list[[34]][[56]]\n", + "[1] 5.570265\n", + "\n", + "$MSE_list[[34]][[57]]\n", + "[1] 6.491848\n", + "\n", + "$MSE_list[[34]][[58]]\n", + "[1] 3.408352\n", + "\n", + "$MSE_list[[34]][[59]]\n", + "[1] 0.9740465\n", + "\n", + "$MSE_list[[34]][[60]]\n", + "[1] 4.260017\n", + "\n", + "$MSE_list[[34]][[61]]\n", + "[1] 6.336014\n", + "\n", + "$MSE_list[[34]][[62]]\n", + "[1] 4.016206\n", + "\n", + "$MSE_list[[34]][[63]]\n", + "[1] 2.584778\n", + "\n", + "$MSE_list[[34]][[64]]\n", + "[1] 0.8589721\n", + "\n", + "$MSE_list[[34]][[65]]\n", + "[1] 6.571574\n", + "\n", + "$MSE_list[[34]][[66]]\n", + "[1] 5.637772\n", + "\n", + "$MSE_list[[34]][[67]]\n", + "[1] 4.480363\n", + "\n", + "$MSE_list[[34]][[68]]\n", + "[1] 3.372896\n", + "\n", + "$MSE_list[[34]][[69]]\n", + "[1] 6.757766\n", + "\n", + "$MSE_list[[34]][[70]]\n", + "[1] 6.291439\n", + "\n", + "$MSE_list[[34]][[71]]\n", + "[1] 6.739153\n", + "\n", + "$MSE_list[[34]][[72]]\n", + "[1] 7.944395\n", + "\n", + "$MSE_list[[34]][[73]]\n", + "[1] 4.424266\n", + "\n", + "$MSE_list[[34]][[74]]\n", + "[1] 3.786599\n", + "\n", + "$MSE_list[[34]][[75]]\n", + "[1] 2.440934\n", + "\n", + "$MSE_list[[34]][[76]]\n", + "[1] 6.632122\n", + "\n", + "$MSE_list[[34]][[77]]\n", + "[1] 3.455881\n", + "\n", + "$MSE_list[[34]][[78]]\n", + "[1] 5.798441\n", + "\n", + "$MSE_list[[34]][[79]]\n", + "[1] 2.657172\n", + "\n", + "$MSE_list[[34]][[80]]\n", + "[1] 2.926945\n", + "\n", + "$MSE_list[[34]][[81]]\n", + "[1] 7.279322\n", + "\n", + "$MSE_list[[34]][[82]]\n", + "[1] 3.321435\n", + "\n", + "$MSE_list[[34]][[83]]\n", + "[1] 4.317274\n", + "\n", + "$MSE_list[[34]][[84]]\n", + "[1] 1.8236\n", + "\n", + "$MSE_list[[34]][[85]]\n", + "[1] 3.040455\n", + "\n", + "$MSE_list[[34]][[86]]\n", + "[1] 3.667393\n", + "\n", + "$MSE_list[[34]][[87]]\n", + "[1] 5.56655\n", + "\n", + "$MSE_list[[34]][[88]]\n", + "[1] 4.751884\n", + "\n", + "$MSE_list[[34]][[89]]\n", + "[1] 4.489858\n", + "\n", + "$MSE_list[[34]][[90]]\n", + "[1] 4.136954\n", + "\n", + "$MSE_list[[34]][[91]]\n", + "[1] 4.777426\n", + "\n", + "$MSE_list[[34]][[92]]\n", + "[1] 2.679996\n", + "\n", + "$MSE_list[[34]][[93]]\n", + "[1] 3.120565\n", + "\n", + "$MSE_list[[34]][[94]]\n", + "[1] 7.219322\n", + "\n", + "$MSE_list[[34]][[95]]\n", + "[1] 7.032198\n", + "\n", + "$MSE_list[[34]][[96]]\n", + "[1] 3.522811\n", + "\n", + "$MSE_list[[34]][[97]]\n", + "[1] 6.140549\n", + "\n", + "$MSE_list[[34]][[98]]\n", + "[1] 5.322952\n", + "\n", + "$MSE_list[[34]][[99]]\n", + "[1] 8.447885\n", + "\n", + "$MSE_list[[34]][[100]]\n", + "[1] 3.096315\n", + "\n", + "\n", + "$MSE_list[[35]]\n", + "$MSE_list[[35]][[1]]\n", + "[1] 5.414351\n", + "\n", + "$MSE_list[[35]][[2]]\n", + "[1] 5.491168\n", + "\n", + "$MSE_list[[35]][[3]]\n", + "[1] 3.391413\n", + "\n", + "$MSE_list[[35]][[4]]\n", + "[1] 2.197132\n", + "\n", + "$MSE_list[[35]][[5]]\n", + "[1] 7.021786\n", + "\n", + "$MSE_list[[35]][[6]]\n", + "[1] 3.332503\n", + "\n", + "$MSE_list[[35]][[7]]\n", + "[1] 3.76758\n", + "\n", + "$MSE_list[[35]][[8]]\n", + "[1] 4.68398\n", + "\n", + "$MSE_list[[35]][[9]]\n", + "[1] 4.412043\n", + "\n", + "$MSE_list[[35]][[10]]\n", + "[1] 2.737927\n", + "\n", + "$MSE_list[[35]][[11]]\n", + "[1] 5.219979\n", + "\n", + "$MSE_list[[35]][[12]]\n", + "[1] 1.33752\n", + "\n", + "$MSE_list[[35]][[13]]\n", + "[1] 3.147044\n", + "\n", + "$MSE_list[[35]][[14]]\n", + "[1] 2.270367\n", + "\n", + "$MSE_list[[35]][[15]]\n", + "[1] 2.398702\n", + "\n", + "$MSE_list[[35]][[16]]\n", + "[1] 2.539059\n", + "\n", + "$MSE_list[[35]][[17]]\n", + "[1] 3.003051\n", + "\n", + "$MSE_list[[35]][[18]]\n", + "[1] 5.549418\n", + "\n", + "$MSE_list[[35]][[19]]\n", + "[1] 5.088542\n", + "\n", + "$MSE_list[[35]][[20]]\n", + "[1] 1.659181\n", + "\n", + "$MSE_list[[35]][[21]]\n", + "[1] 2.945233\n", + "\n", + "$MSE_list[[35]][[22]]\n", + "[1] 1.315484\n", + "\n", + "$MSE_list[[35]][[23]]\n", + "[1] 2.845602\n", + "\n", + "$MSE_list[[35]][[24]]\n", + "[1] 1.038258\n", + "\n", + "$MSE_list[[35]][[25]]\n", + "[1] 2.019259\n", + "\n", + "$MSE_list[[35]][[26]]\n", + "[1] 1.542775\n", + "\n", + "$MSE_list[[35]][[27]]\n", + "[1] 2.562335\n", + "\n", + "$MSE_list[[35]][[28]]\n", + "[1] 2.122067\n", + "\n", + "$MSE_list[[35]][[29]]\n", + "[1] 0.6467989\n", + "\n", + "$MSE_list[[35]][[30]]\n", + "[1] 5.238273\n", + "\n", + "$MSE_list[[35]][[31]]\n", + "[1] 1.347579\n", + "\n", + "$MSE_list[[35]][[32]]\n", + "[1] 4.250385\n", + "\n", + "$MSE_list[[35]][[33]]\n", + "[1] 3.452458\n", + "\n", + "$MSE_list[[35]][[34]]\n", + "[1] 1.315283\n", + "\n", + "$MSE_list[[35]][[35]]\n", + "[1] 5.164721\n", + "\n", + "$MSE_list[[35]][[36]]\n", + "[1] 4.346323\n", + "\n", + "$MSE_list[[35]][[37]]\n", + "[1] 6.211004\n", + "\n", + "$MSE_list[[35]][[38]]\n", + "[1] 5.377284\n", + "\n", + "$MSE_list[[35]][[39]]\n", + "[1] 3.871213\n", + "\n", + "$MSE_list[[35]][[40]]\n", + "[1] 4.363432\n", + "\n", + "$MSE_list[[35]][[41]]\n", + "[1] 4.8926\n", + "\n", + "$MSE_list[[35]][[42]]\n", + "[1] 3.320693\n", + "\n", + "$MSE_list[[35]][[43]]\n", + "[1] 4.762526\n", + "\n", + "$MSE_list[[35]][[44]]\n", + "[1] 1.412792\n", + "\n", + "$MSE_list[[35]][[45]]\n", + "[1] 2.702256\n", + "\n", + "$MSE_list[[35]][[46]]\n", + "[1] 5.140681\n", + "\n", + "$MSE_list[[35]][[47]]\n", + "[1] 1.478853\n", + "\n", + "$MSE_list[[35]][[48]]\n", + "[1] 2.571795\n", + "\n", + "$MSE_list[[35]][[49]]\n", + "[1] 4.940303\n", + "\n", + "$MSE_list[[35]][[50]]\n", + "[1] 1.710691\n", + "\n", + "$MSE_list[[35]][[51]]\n", + "[1] 3.241815\n", + "\n", + "$MSE_list[[35]][[52]]\n", + "[1] 4.435914\n", + "\n", + "$MSE_list[[35]][[53]]\n", + "[1] 2.593933\n", + "\n", + "$MSE_list[[35]][[54]]\n", + "[1] 4.855424\n", + "\n", + "$MSE_list[[35]][[55]]\n", + "[1] 6.298466\n", + "\n", + "$MSE_list[[35]][[56]]\n", + "[1] 3.261238\n", + "\n", + "$MSE_list[[35]][[57]]\n", + "[1] 5.192181\n", + "\n", + "$MSE_list[[35]][[58]]\n", + "[1] 3.452076\n", + "\n", + "$MSE_list[[35]][[59]]\n", + "[1] 1.687852\n", + "\n", + "$MSE_list[[35]][[60]]\n", + "[1] 3.174111\n", + "\n", + "$MSE_list[[35]][[61]]\n", + "[1] 8.119488\n", + "\n", + "$MSE_list[[35]][[62]]\n", + "[1] 3.099987\n", + "\n", + "$MSE_list[[35]][[63]]\n", + "[1] 5.430464\n", + "\n", + "$MSE_list[[35]][[64]]\n", + "[1] 5.495986\n", + "\n", + "$MSE_list[[35]][[65]]\n", + "[1] 6.322218\n", + "\n", + "$MSE_list[[35]][[66]]\n", + "[1] 5.953765\n", + "\n", + "$MSE_list[[35]][[67]]\n", + "[1] 3.330397\n", + "\n", + "$MSE_list[[35]][[68]]\n", + "[1] 1.249553\n", + "\n", + "$MSE_list[[35]][[69]]\n", + "[1] 1.544075\n", + "\n", + "$MSE_list[[35]][[70]]\n", + "[1] 3.358784\n", + "\n", + "$MSE_list[[35]][[71]]\n", + "[1] 7.413809\n", + "\n", + "$MSE_list[[35]][[72]]\n", + "[1] 7.352752\n", + "\n", + "$MSE_list[[35]][[73]]\n", + "[1] 2.133192\n", + "\n", + "$MSE_list[[35]][[74]]\n", + "[1] 4.616385\n", + "\n", + "$MSE_list[[35]][[75]]\n", + "[1] 6.111892\n", + "\n", + "$MSE_list[[35]][[76]]\n", + "[1] 3.91785\n", + "\n", + "$MSE_list[[35]][[77]]\n", + "[1] 4.047247\n", + "\n", + "$MSE_list[[35]][[78]]\n", + "[1] 1.524735\n", + "\n", + "$MSE_list[[35]][[79]]\n", + "[1] 4.874996\n", + "\n", + "$MSE_list[[35]][[80]]\n", + "[1] 2.123449\n", + "\n", + "$MSE_list[[35]][[81]]\n", + "[1] 4.64573\n", + "\n", + "$MSE_list[[35]][[82]]\n", + "[1] 3.066025\n", + "\n", + "$MSE_list[[35]][[83]]\n", + "[1] 4.118662\n", + "\n", + "$MSE_list[[35]][[84]]\n", + "[1] 4.342506\n", + "\n", + "$MSE_list[[35]][[85]]\n", + "[1] 2.91442\n", + "\n", + "$MSE_list[[35]][[86]]\n", + "[1] 2.790428\n", + "\n", + "$MSE_list[[35]][[87]]\n", + "[1] 4.875651\n", + "\n", + "$MSE_list[[35]][[88]]\n", + "[1] 1.33583\n", + "\n", + "$MSE_list[[35]][[89]]\n", + "[1] 2.302897\n", + "\n", + "$MSE_list[[35]][[90]]\n", + "[1] 3.344416\n", + "\n", + "$MSE_list[[35]][[91]]\n", + "[1] 4.756231\n", + "\n", + "$MSE_list[[35]][[92]]\n", + "[1] 5.322011\n", + "\n", + "$MSE_list[[35]][[93]]\n", + "[1] 2.741167\n", + "\n", + "$MSE_list[[35]][[94]]\n", + "[1] 1.700619\n", + "\n", + "$MSE_list[[35]][[95]]\n", + "[1] 2.440737\n", + "\n", + "$MSE_list[[35]][[96]]\n", + "[1] 1.804587\n", + "\n", + "$MSE_list[[35]][[97]]\n", + "[1] 3.069054\n", + "\n", + "$MSE_list[[35]][[98]]\n", + "[1] 4.728298\n", + "\n", + "$MSE_list[[35]][[99]]\n", + "[1] 4.298746\n", + "\n", + "$MSE_list[[35]][[100]]\n", + "[1] 4.820303\n", + "\n", + "\n", + "$MSE_list[[36]]\n", + "$MSE_list[[36]][[1]]\n", + "[1] 4.591928\n", + "\n", + "$MSE_list[[36]][[2]]\n", + "[1] 4.890088\n", + "\n", + "$MSE_list[[36]][[3]]\n", + "[1] 0.4713626\n", + "\n", + "$MSE_list[[36]][[4]]\n", + "[1] 5.735016\n", + "\n", + "$MSE_list[[36]][[5]]\n", + "[1] 6.807984\n", + "\n", + "$MSE_list[[36]][[6]]\n", + "[1] 7.192637\n", + "\n", + "$MSE_list[[36]][[7]]\n", + "[1] 2.888612\n", + "\n", + "$MSE_list[[36]][[8]]\n", + "[1] 8.76237\n", + "\n", + "$MSE_list[[36]][[9]]\n", + "[1] 6.901599\n", + "\n", + "$MSE_list[[36]][[10]]\n", + "[1] 3.684652\n", + "\n", + "$MSE_list[[36]][[11]]\n", + "[1] 5.376722\n", + "\n", + "$MSE_list[[36]][[12]]\n", + "[1] 2.053429\n", + "\n", + "$MSE_list[[36]][[13]]\n", + "[1] 1.557188\n", + "\n", + "$MSE_list[[36]][[14]]\n", + "[1] 7.477641\n", + "\n", + "$MSE_list[[36]][[15]]\n", + "[1] 5.209763\n", + "\n", + "$MSE_list[[36]][[16]]\n", + "[1] 1.152226\n", + "\n", + "$MSE_list[[36]][[17]]\n", + "[1] 1.189115\n", + "\n", + "$MSE_list[[36]][[18]]\n", + "[1] 1.267271\n", + "\n", + "$MSE_list[[36]][[19]]\n", + "[1] 6.174098\n", + "\n", + "$MSE_list[[36]][[20]]\n", + "[1] 3.971983\n", + "\n", + "$MSE_list[[36]][[21]]\n", + "[1] 6.785137\n", + "\n", + "$MSE_list[[36]][[22]]\n", + "[1] 1.62475\n", + "\n", + "$MSE_list[[36]][[23]]\n", + "[1] 7.431477\n", + "\n", + "$MSE_list[[36]][[24]]\n", + "[1] 6.219158\n", + "\n", + "$MSE_list[[36]][[25]]\n", + "[1] 3.63833\n", + "\n", + "$MSE_list[[36]][[26]]\n", + "[1] 2.192767\n", + "\n", + "$MSE_list[[36]][[27]]\n", + "[1] 5.725073\n", + "\n", + "$MSE_list[[36]][[28]]\n", + "[1] 1.624564\n", + "\n", + "$MSE_list[[36]][[29]]\n", + "[1] 1.903902\n", + "\n", + "$MSE_list[[36]][[30]]\n", + "[1] 2.322332\n", + "\n", + "$MSE_list[[36]][[31]]\n", + "[1] 4.158051\n", + "\n", + "$MSE_list[[36]][[32]]\n", + "[1] 4.791465\n", + "\n", + "$MSE_list[[36]][[33]]\n", + "[1] 1.238889\n", + "\n", + "$MSE_list[[36]][[34]]\n", + "[1] 3.71091\n", + "\n", + "$MSE_list[[36]][[35]]\n", + "[1] 1.903676\n", + "\n", + "$MSE_list[[36]][[36]]\n", + "[1] 6.760821\n", + "\n", + "$MSE_list[[36]][[37]]\n", + "[1] 4.867517\n", + "\n", + "$MSE_list[[36]][[38]]\n", + "[1] 9.971932\n", + "\n", + "$MSE_list[[36]][[39]]\n", + "[1] 6.873022\n", + "\n", + "$MSE_list[[36]][[40]]\n", + "[1] 7.246121\n", + "\n", + "$MSE_list[[36]][[41]]\n", + "[1] 7.318647\n", + "\n", + "$MSE_list[[36]][[42]]\n", + "[1] 6.508791\n", + "\n", + "$MSE_list[[36]][[43]]\n", + "[1] 5.115317\n", + "\n", + "$MSE_list[[36]][[44]]\n", + "[1] 1.333503\n", + "\n", + "$MSE_list[[36]][[45]]\n", + "[1] 4.599214\n", + "\n", + "$MSE_list[[36]][[46]]\n", + "[1] 4.11775\n", + "\n", + "$MSE_list[[36]][[47]]\n", + "[1] 0.9644302\n", + "\n", + "$MSE_list[[36]][[48]]\n", + "[1] 4.757199\n", + "\n", + "$MSE_list[[36]][[49]]\n", + "[1] 1.828489\n", + "\n", + "$MSE_list[[36]][[50]]\n", + "[1] 2.502948\n", + "\n", + "$MSE_list[[36]][[51]]\n", + "[1] 3.043973\n", + "\n", + "$MSE_list[[36]][[52]]\n", + "[1] 6.431398\n", + "\n", + "$MSE_list[[36]][[53]]\n", + "[1] 8.795511\n", + "\n", + "$MSE_list[[36]][[54]]\n", + "[1] 1.807954\n", + "\n", + "$MSE_list[[36]][[55]]\n", + "[1] 4.403821\n", + "\n", + "$MSE_list[[36]][[56]]\n", + "[1] 5.949712\n", + "\n", + "$MSE_list[[36]][[57]]\n", + "[1] 2.006377\n", + "\n", + "$MSE_list[[36]][[58]]\n", + "[1] 4.697129\n", + "\n", + "$MSE_list[[36]][[59]]\n", + "[1] 4.334087\n", + "\n", + "$MSE_list[[36]][[60]]\n", + "[1] 2.764318\n", + "\n", + "$MSE_list[[36]][[61]]\n", + "[1] 3.941\n", + "\n", + "$MSE_list[[36]][[62]]\n", + "[1] 2.125225\n", + "\n", + "$MSE_list[[36]][[63]]\n", + "[1] 1.233824\n", + "\n", + "$MSE_list[[36]][[64]]\n", + "[1] 2.005054\n", + "\n", + "$MSE_list[[36]][[65]]\n", + "[1] 4.465491\n", + "\n", + "$MSE_list[[36]][[66]]\n", + "[1] 6.321769\n", + "\n", + "$MSE_list[[36]][[67]]\n", + "[1] 6.701937\n", + "\n", + "$MSE_list[[36]][[68]]\n", + "[1] 5.41243\n", + "\n", + "$MSE_list[[36]][[69]]\n", + "[1] 3.884588\n", + "\n", + "$MSE_list[[36]][[70]]\n", + "[1] 1.717256\n", + "\n", + "$MSE_list[[36]][[71]]\n", + "[1] 3.847234\n", + "\n", + "$MSE_list[[36]][[72]]\n", + "[1] 4.892421\n", + "\n", + "$MSE_list[[36]][[73]]\n", + "[1] 6.939166\n", + "\n", + "$MSE_list[[36]][[74]]\n", + "[1] 0.694386\n", + "\n", + "$MSE_list[[36]][[75]]\n", + "[1] 3.924574\n", + "\n", + "$MSE_list[[36]][[76]]\n", + "[1] 5.413917\n", + "\n", + "$MSE_list[[36]][[77]]\n", + "[1] 0.8660584\n", + "\n", + "$MSE_list[[36]][[78]]\n", + "[1] 5.155399\n", + "\n", + "$MSE_list[[36]][[79]]\n", + "[1] 4.891569\n", + "\n", + "$MSE_list[[36]][[80]]\n", + "[1] 4.54277\n", + "\n", + "$MSE_list[[36]][[81]]\n", + "[1] 4.476046\n", + "\n", + "$MSE_list[[36]][[82]]\n", + "[1] 6.024516\n", + "\n", + "$MSE_list[[36]][[83]]\n", + "[1] 6.906172\n", + "\n", + "$MSE_list[[36]][[84]]\n", + "[1] 5.378122\n", + "\n", + "$MSE_list[[36]][[85]]\n", + "[1] 4.183895\n", + "\n", + "$MSE_list[[36]][[86]]\n", + "[1] 8.889889\n", + "\n", + "$MSE_list[[36]][[87]]\n", + "[1] 4.736685\n", + "\n", + "$MSE_list[[36]][[88]]\n", + "[1] 2.923562\n", + "\n", + "$MSE_list[[36]][[89]]\n", + "[1] 5.255643\n", + "\n", + "$MSE_list[[36]][[90]]\n", + "[1] 2.30417\n", + "\n", + "$MSE_list[[36]][[91]]\n", + "[1] 5.164346\n", + "\n", + "$MSE_list[[36]][[92]]\n", + "[1] 1.330205\n", + "\n", + "$MSE_list[[36]][[93]]\n", + "[1] 1.84555\n", + "\n", + "$MSE_list[[36]][[94]]\n", + "[1] 6.42328\n", + "\n", + "$MSE_list[[36]][[95]]\n", + "[1] 4.042216\n", + "\n", + "$MSE_list[[36]][[96]]\n", + "[1] 6.623691\n", + "\n", + "$MSE_list[[36]][[97]]\n", + "[1] 4.500142\n", + "\n", + "$MSE_list[[36]][[98]]\n", + "[1] 1.252421\n", + "\n", + "$MSE_list[[36]][[99]]\n", + "[1] 3.733715\n", + "\n", + "$MSE_list[[36]][[100]]\n", + "[1] 7.619057\n", + "\n", + "\n", + "$MSE_list[[37]]\n", + "$MSE_list[[37]][[1]]\n", + "[1] 3.498992\n", + "\n", + "$MSE_list[[37]][[2]]\n", + "[1] 3.412925\n", + "\n", + "$MSE_list[[37]][[3]]\n", + "[1] 5.623384\n", + "\n", + "$MSE_list[[37]][[4]]\n", + "[1] 8.710078\n", + "\n", + "$MSE_list[[37]][[5]]\n", + "[1] 8.321219\n", + "\n", + "$MSE_list[[37]][[6]]\n", + "[1] 7.443858\n", + "\n", + "$MSE_list[[37]][[7]]\n", + "[1] 7.112113\n", + "\n", + "$MSE_list[[37]][[8]]\n", + "[1] 6.938754\n", + "\n", + "$MSE_list[[37]][[9]]\n", + "[1] 4.008371\n", + "\n", + "$MSE_list[[37]][[10]]\n", + "[1] 6.044758\n", + "\n", + "$MSE_list[[37]][[11]]\n", + "[1] 5.071793\n", + "\n", + "$MSE_list[[37]][[12]]\n", + "[1] 5.712484\n", + "\n", + "$MSE_list[[37]][[13]]\n", + "[1] 5.5462\n", + "\n", + "$MSE_list[[37]][[14]]\n", + "[1] 4.724533\n", + "\n", + "$MSE_list[[37]][[15]]\n", + "[1] 4.794019\n", + "\n", + "$MSE_list[[37]][[16]]\n", + "[1] 12.6637\n", + "\n", + "$MSE_list[[37]][[17]]\n", + "[1] 6.2019\n", + "\n", + "$MSE_list[[37]][[18]]\n", + "[1] 10.7008\n", + "\n", + "$MSE_list[[37]][[19]]\n", + "[1] 11.54857\n", + "\n", + "$MSE_list[[37]][[20]]\n", + "[1] 4.635518\n", + "\n", + "$MSE_list[[37]][[21]]\n", + "[1] 5.830639\n", + "\n", + "$MSE_list[[37]][[22]]\n", + "[1] 5.584553\n", + "\n", + "$MSE_list[[37]][[23]]\n", + "[1] 1.597296\n", + "\n", + "$MSE_list[[37]][[24]]\n", + "[1] 4.428115\n", + "\n", + "$MSE_list[[37]][[25]]\n", + "[1] 5.009797\n", + "\n", + "$MSE_list[[37]][[26]]\n", + "[1] 9.030706\n", + "\n", + "$MSE_list[[37]][[27]]\n", + "[1] 5.841043\n", + "\n", + "$MSE_list[[37]][[28]]\n", + "[1] 4.600139\n", + "\n", + "$MSE_list[[37]][[29]]\n", + "[1] 4.376095\n", + "\n", + "$MSE_list[[37]][[30]]\n", + "[1] 6.249802\n", + "\n", + "$MSE_list[[37]][[31]]\n", + "[1] 3.942167\n", + "\n", + "$MSE_list[[37]][[32]]\n", + "[1] 4.421561\n", + "\n", + "$MSE_list[[37]][[33]]\n", + "[1] 2.803847\n", + "\n", + "$MSE_list[[37]][[34]]\n", + "[1] 6.871355\n", + "\n", + "$MSE_list[[37]][[35]]\n", + "[1] 4.500052\n", + "\n", + "$MSE_list[[37]][[36]]\n", + "[1] 5.674282\n", + "\n", + "$MSE_list[[37]][[37]]\n", + "[1] 9.416585\n", + "\n", + "$MSE_list[[37]][[38]]\n", + "[1] 10.90833\n", + "\n", + "$MSE_list[[37]][[39]]\n", + "[1] 7.501656\n", + "\n", + "$MSE_list[[37]][[40]]\n", + "[1] 12.15034\n", + "\n", + "$MSE_list[[37]][[41]]\n", + "[1] 8.389944\n", + "\n", + "$MSE_list[[37]][[42]]\n", + "[1] 6.63056\n", + "\n", + "$MSE_list[[37]][[43]]\n", + "[1] 9.153387\n", + "\n", + "$MSE_list[[37]][[44]]\n", + "[1] 6.474988\n", + "\n", + "$MSE_list[[37]][[45]]\n", + "[1] 2.44804\n", + "\n", + "$MSE_list[[37]][[46]]\n", + "[1] 5.738376\n", + "\n", + "$MSE_list[[37]][[47]]\n", + "[1] 8.738749\n", + "\n", + "$MSE_list[[37]][[48]]\n", + "[1] 5.522456\n", + "\n", + "$MSE_list[[37]][[49]]\n", + "[1] 6.594234\n", + "\n", + "$MSE_list[[37]][[50]]\n", + "[1] 8.097276\n", + "\n", + "$MSE_list[[37]][[51]]\n", + "[1] 5.303979\n", + "\n", + "$MSE_list[[37]][[52]]\n", + "[1] 4.325344\n", + "\n", + "$MSE_list[[37]][[53]]\n", + "[1] 7.916381\n", + "\n", + "$MSE_list[[37]][[54]]\n", + "[1] 6.168475\n", + "\n", + "$MSE_list[[37]][[55]]\n", + "[1] 4.97272\n", + "\n", + "$MSE_list[[37]][[56]]\n", + "[1] 6.641612\n", + "\n", + "$MSE_list[[37]][[57]]\n", + "[1] 6.546761\n", + "\n", + "$MSE_list[[37]][[58]]\n", + "[1] 7.741593\n", + "\n", + "$MSE_list[[37]][[59]]\n", + "[1] 3.864761\n", + "\n", + "$MSE_list[[37]][[60]]\n", + "[1] 8.299683\n", + "\n", + "$MSE_list[[37]][[61]]\n", + "[1] 5.358282\n", + "\n", + "$MSE_list[[37]][[62]]\n", + "[1] 4.645097\n", + "\n", + "$MSE_list[[37]][[63]]\n", + "[1] 6.022258\n", + "\n", + "$MSE_list[[37]][[64]]\n", + "[1] 7.07582\n", + "\n", + "$MSE_list[[37]][[65]]\n", + "[1] 5.684749\n", + "\n", + "$MSE_list[[37]][[66]]\n", + "[1] 4.026966\n", + "\n", + "$MSE_list[[37]][[67]]\n", + "[1] 7.286147\n", + "\n", + "$MSE_list[[37]][[68]]\n", + "[1] 5.483062\n", + "\n", + "$MSE_list[[37]][[69]]\n", + "[1] 4.826302\n", + "\n", + "$MSE_list[[37]][[70]]\n", + "[1] 6.329581\n", + "\n", + "$MSE_list[[37]][[71]]\n", + "[1] 6.854659\n", + "\n", + "$MSE_list[[37]][[72]]\n", + "[1] 6.288046\n", + "\n", + "$MSE_list[[37]][[73]]\n", + "[1] 6.162012\n", + "\n", + "$MSE_list[[37]][[74]]\n", + "[1] 7.690857\n", + "\n", + "$MSE_list[[37]][[75]]\n", + "[1] 5.895331\n", + "\n", + "$MSE_list[[37]][[76]]\n", + "[1] 7.242894\n", + "\n", + "$MSE_list[[37]][[77]]\n", + "[1] 2.503682\n", + "\n", + "$MSE_list[[37]][[78]]\n", + "[1] 8.794738\n", + "\n", + "$MSE_list[[37]][[79]]\n", + "[1] 4.340635\n", + "\n", + "$MSE_list[[37]][[80]]\n", + "[1] 4.360541\n", + "\n", + "$MSE_list[[37]][[81]]\n", + "[1] 2.998733\n", + "\n", + "$MSE_list[[37]][[82]]\n", + "[1] 11.20024\n", + "\n", + "$MSE_list[[37]][[83]]\n", + "[1] 3.478394\n", + "\n", + "$MSE_list[[37]][[84]]\n", + "[1] 6.709255\n", + "\n", + "$MSE_list[[37]][[85]]\n", + "[1] 7.515853\n", + "\n", + "$MSE_list[[37]][[86]]\n", + "[1] 2.780977\n", + "\n", + "$MSE_list[[37]][[87]]\n", + "[1] 6.960972\n", + "\n", + "$MSE_list[[37]][[88]]\n", + "[1] 6.884568\n", + "\n", + "$MSE_list[[37]][[89]]\n", + "[1] 1.242846\n", + "\n", + "$MSE_list[[37]][[90]]\n", + "[1] 6.213549\n", + "\n", + "$MSE_list[[37]][[91]]\n", + "[1] 5.130178\n", + "\n", + "$MSE_list[[37]][[92]]\n", + "[1] 3.63483\n", + "\n", + "$MSE_list[[37]][[93]]\n", + "[1] 8.719267\n", + "\n", + "$MSE_list[[37]][[94]]\n", + "[1] 7.064327\n", + "\n", + "$MSE_list[[37]][[95]]\n", + "[1] 7.191848\n", + "\n", + "$MSE_list[[37]][[96]]\n", + "[1] 8.218398\n", + "\n", + "$MSE_list[[37]][[97]]\n", + "[1] 5.342451\n", + "\n", + "$MSE_list[[37]][[98]]\n", + "[1] 4.878237\n", + "\n", + "$MSE_list[[37]][[99]]\n", + "[1] 5.397657\n", + "\n", + "$MSE_list[[37]][[100]]\n", + "[1] 5.18915\n", + "\n", + "\n", + "$MSE_list[[38]]\n", + "$MSE_list[[38]][[1]]\n", + "[1] 10.30719\n", + "\n", + "$MSE_list[[38]][[2]]\n", + "[1] 5.30631\n", + "\n", + "$MSE_list[[38]][[3]]\n", + "[1] 4.701833\n", + "\n", + "$MSE_list[[38]][[4]]\n", + "[1] 4.525413\n", + "\n", + "$MSE_list[[38]][[5]]\n", + "[1] 4.104776\n", + "\n", + "$MSE_list[[38]][[6]]\n", + "[1] 8.917928\n", + "\n", + "$MSE_list[[38]][[7]]\n", + "[1] 10.56585\n", + "\n", + "$MSE_list[[38]][[8]]\n", + "[1] 11.36628\n", + "\n", + "$MSE_list[[38]][[9]]\n", + "[1] 6.854294\n", + "\n", + "$MSE_list[[38]][[10]]\n", + "[1] 5.834328\n", + "\n", + "$MSE_list[[38]][[11]]\n", + "[1] 4.372273\n", + "\n", + "$MSE_list[[38]][[12]]\n", + "[1] 3.678782\n", + "\n", + "$MSE_list[[38]][[13]]\n", + "[1] 8.852778\n", + "\n", + "$MSE_list[[38]][[14]]\n", + "[1] 7.869036\n", + "\n", + "$MSE_list[[38]][[15]]\n", + "[1] 8.692804\n", + "\n", + "$MSE_list[[38]][[16]]\n", + "[1] 8.394629\n", + "\n", + "$MSE_list[[38]][[17]]\n", + "[1] 6.734021\n", + "\n", + "$MSE_list[[38]][[18]]\n", + "[1] 6.737049\n", + "\n", + "$MSE_list[[38]][[19]]\n", + "[1] 1.21068\n", + "\n", + "$MSE_list[[38]][[20]]\n", + "[1] 5.663624\n", + "\n", + "$MSE_list[[38]][[21]]\n", + "[1] 9.642049\n", + "\n", + "$MSE_list[[38]][[22]]\n", + "[1] 6.367379\n", + "\n", + "$MSE_list[[38]][[23]]\n", + "[1] 4.676542\n", + "\n", + "$MSE_list[[38]][[24]]\n", + "[1] 11.94353\n", + "\n", + "$MSE_list[[38]][[25]]\n", + "[1] 6.758395\n", + "\n", + "$MSE_list[[38]][[26]]\n", + "[1] 4.139071\n", + "\n", + "$MSE_list[[38]][[27]]\n", + "[1] 4.07855\n", + "\n", + "$MSE_list[[38]][[28]]\n", + "[1] 5.57465\n", + "\n", + "$MSE_list[[38]][[29]]\n", + "[1] 12.09487\n", + "\n", + "$MSE_list[[38]][[30]]\n", + "[1] 3.892779\n", + "\n", + "$MSE_list[[38]][[31]]\n", + "[1] 4.090679\n", + "\n", + "$MSE_list[[38]][[32]]\n", + "[1] 5.999779\n", + "\n", + "$MSE_list[[38]][[33]]\n", + "[1] 2.299085\n", + "\n", + "$MSE_list[[38]][[34]]\n", + "[1] 6.434097\n", + "\n", + "$MSE_list[[38]][[35]]\n", + "[1] 2.692516\n", + "\n", + "$MSE_list[[38]][[36]]\n", + "[1] 5.711129\n", + "\n", + "$MSE_list[[38]][[37]]\n", + "[1] 5.206911\n", + "\n", + "$MSE_list[[38]][[38]]\n", + "[1] 3.324346\n", + "\n", + "$MSE_list[[38]][[39]]\n", + "[1] 8.079175\n", + "\n", + "$MSE_list[[38]][[40]]\n", + "[1] 1.524306\n", + "\n", + "$MSE_list[[38]][[41]]\n", + "[1] 2.230833\n", + "\n", + "$MSE_list[[38]][[42]]\n", + "[1] 11.76521\n", + "\n", + "$MSE_list[[38]][[43]]\n", + "[1] 9.321732\n", + "\n", + "$MSE_list[[38]][[44]]\n", + "[1] 5.600838\n", + "\n", + "$MSE_list[[38]][[45]]\n", + "[1] 8.584144\n", + "\n", + "$MSE_list[[38]][[46]]\n", + "[1] 6.726034\n", + "\n", + "$MSE_list[[38]][[47]]\n", + "[1] 5.64767\n", + "\n", + "$MSE_list[[38]][[48]]\n", + "[1] 5.937857\n", + "\n", + "$MSE_list[[38]][[49]]\n", + "[1] 1.651747\n", + "\n", + "$MSE_list[[38]][[50]]\n", + "[1] 2.019308\n", + "\n", + "$MSE_list[[38]][[51]]\n", + "[1] 5.222077\n", + "\n", + "$MSE_list[[38]][[52]]\n", + "[1] 9.964009\n", + "\n", + "$MSE_list[[38]][[53]]\n", + "[1] 4.770496\n", + "\n", + "$MSE_list[[38]][[54]]\n", + "[1] 1.160745\n", + "\n", + "$MSE_list[[38]][[55]]\n", + "[1] 7.320793\n", + "\n", + "$MSE_list[[38]][[56]]\n", + "[1] 4.394019\n", + "\n", + "$MSE_list[[38]][[57]]\n", + "[1] 10.47751\n", + "\n", + "$MSE_list[[38]][[58]]\n", + "[1] 4.85573\n", + "\n", + "$MSE_list[[38]][[59]]\n", + "[1] 2.683698\n", + "\n", + "$MSE_list[[38]][[60]]\n", + "[1] 12.60556\n", + "\n", + "$MSE_list[[38]][[61]]\n", + "[1] 5.127593\n", + "\n", + "$MSE_list[[38]][[62]]\n", + "[1] 8.616035\n", + "\n", + "$MSE_list[[38]][[63]]\n", + "[1] 12.41226\n", + "\n", + "$MSE_list[[38]][[64]]\n", + "[1] 7.929809\n", + "\n", + "$MSE_list[[38]][[65]]\n", + "[1] 0.7762693\n", + "\n", + "$MSE_list[[38]][[66]]\n", + "[1] 7.07854\n", + "\n", + "$MSE_list[[38]][[67]]\n", + "[1] 7.745422\n", + "\n", + "$MSE_list[[38]][[68]]\n", + "[1] 4.563835\n", + "\n", + "$MSE_list[[38]][[69]]\n", + "[1] 4.388055\n", + "\n", + "$MSE_list[[38]][[70]]\n", + "[1] 10.33169\n", + "\n", + "$MSE_list[[38]][[71]]\n", + "[1] 7.52279\n", + "\n", + "$MSE_list[[38]][[72]]\n", + "[1] 1.908749\n", + "\n", + "$MSE_list[[38]][[73]]\n", + "[1] 4.877082\n", + "\n", + "$MSE_list[[38]][[74]]\n", + "[1] 7.145948\n", + "\n", + "$MSE_list[[38]][[75]]\n", + "[1] 3.964945\n", + "\n", + "$MSE_list[[38]][[76]]\n", + "[1] 5.75265\n", + "\n", + "$MSE_list[[38]][[77]]\n", + "[1] 9.310262\n", + "\n", + "$MSE_list[[38]][[78]]\n", + "[1] 6.304225\n", + "\n", + "$MSE_list[[38]][[79]]\n", + "[1] 9.416041\n", + "\n", + "$MSE_list[[38]][[80]]\n", + "[1] 1.82955\n", + "\n", + "$MSE_list[[38]][[81]]\n", + "[1] 1.737298\n", + "\n", + "$MSE_list[[38]][[82]]\n", + "[1] 6.86307\n", + "\n", + "$MSE_list[[38]][[83]]\n", + "[1] 5.410106\n", + "\n", + "$MSE_list[[38]][[84]]\n", + "[1] 4.789779\n", + "\n", + "$MSE_list[[38]][[85]]\n", + "[1] 6.85677\n", + "\n", + "$MSE_list[[38]][[86]]\n", + "[1] 4.327548\n", + "\n", + "$MSE_list[[38]][[87]]\n", + "[1] 6.65122\n", + "\n", + "$MSE_list[[38]][[88]]\n", + "[1] 5.020684\n", + "\n", + "$MSE_list[[38]][[89]]\n", + "[1] 2.994772\n", + "\n", + "$MSE_list[[38]][[90]]\n", + "[1] 4.015976\n", + "\n", + "$MSE_list[[38]][[91]]\n", + "[1] 5.002571\n", + "\n", + "$MSE_list[[38]][[92]]\n", + "[1] 4.934973\n", + "\n", + "$MSE_list[[38]][[93]]\n", + "[1] 7.522657\n", + "\n", + "$MSE_list[[38]][[94]]\n", + "[1] 4.085978\n", + "\n", + "$MSE_list[[38]][[95]]\n", + "[1] 1.921641\n", + "\n", + "$MSE_list[[38]][[96]]\n", + "[1] 1.15591\n", + "\n", + "$MSE_list[[38]][[97]]\n", + "[1] 6.933357\n", + "\n", + "$MSE_list[[38]][[98]]\n", + "[1] 7.860036\n", + "\n", + "$MSE_list[[38]][[99]]\n", + "[1] 3.520335\n", + "\n", + "$MSE_list[[38]][[100]]\n", + "[1] 1.498686\n", + "\n", + "\n", + "$MSE_list[[39]]\n", + "$MSE_list[[39]][[1]]\n", + "[1] 8.210446\n", + "\n", + "$MSE_list[[39]][[2]]\n", + "[1] 2.122978\n", + "\n", + "$MSE_list[[39]][[3]]\n", + "[1] 3.278636\n", + "\n", + "$MSE_list[[39]][[4]]\n", + "[1] 4.667651\n", + "\n", + "$MSE_list[[39]][[5]]\n", + "[1] 5.24484\n", + "\n", + "$MSE_list[[39]][[6]]\n", + "[1] 1.442759\n", + "\n", + "$MSE_list[[39]][[7]]\n", + "[1] 2.794478\n", + "\n", + "$MSE_list[[39]][[8]]\n", + "[1] 1.175018\n", + "\n", + "$MSE_list[[39]][[9]]\n", + "[1] 1.873522\n", + "\n", + "$MSE_list[[39]][[10]]\n", + "[1] 5.956444\n", + "\n", + "$MSE_list[[39]][[11]]\n", + "[1] 5.939258\n", + "\n", + "$MSE_list[[39]][[12]]\n", + "[1] 5.84192\n", + "\n", + "$MSE_list[[39]][[13]]\n", + "[1] 4.722205\n", + "\n", + "$MSE_list[[39]][[14]]\n", + "[1] 6.300662\n", + "\n", + "$MSE_list[[39]][[15]]\n", + "[1] 3.743011\n", + "\n", + "$MSE_list[[39]][[16]]\n", + "[1] 1.853\n", + "\n", + "$MSE_list[[39]][[17]]\n", + "[1] 2.071697\n", + "\n", + "$MSE_list[[39]][[18]]\n", + "[1] 3.708813\n", + "\n", + "$MSE_list[[39]][[19]]\n", + "[1] 0.9179467\n", + "\n", + "$MSE_list[[39]][[20]]\n", + "[1] 5.521491\n", + "\n", + "$MSE_list[[39]][[21]]\n", + "[1] 7.541529\n", + "\n", + "$MSE_list[[39]][[22]]\n", + "[1] 2.946622\n", + "\n", + "$MSE_list[[39]][[23]]\n", + "[1] 4.147281\n", + "\n", + "$MSE_list[[39]][[24]]\n", + "[1] 8.701013\n", + "\n", + "$MSE_list[[39]][[25]]\n", + "[1] 3.415748\n", + "\n", + "$MSE_list[[39]][[26]]\n", + "[1] 6.440466\n", + "\n", + "$MSE_list[[39]][[27]]\n", + "[1] 8.330537\n", + "\n", + "$MSE_list[[39]][[28]]\n", + "[1] 3.011078\n", + "\n", + "$MSE_list[[39]][[29]]\n", + "[1] 3.764274\n", + "\n", + "$MSE_list[[39]][[30]]\n", + "[1] 0.95705\n", + "\n", + "$MSE_list[[39]][[31]]\n", + "[1] 3.762449\n", + "\n", + "$MSE_list[[39]][[32]]\n", + "[1] 1.374026\n", + "\n", + "$MSE_list[[39]][[33]]\n", + "[1] 0.8697405\n", + "\n", + "$MSE_list[[39]][[34]]\n", + "[1] 5.455223\n", + "\n", + "$MSE_list[[39]][[35]]\n", + "[1] 1.907662\n", + "\n", + "$MSE_list[[39]][[36]]\n", + "[1] 2.627073\n", + "\n", + "$MSE_list[[39]][[37]]\n", + "[1] 4.784626\n", + "\n", + "$MSE_list[[39]][[38]]\n", + "[1] 2.762364\n", + "\n", + "$MSE_list[[39]][[39]]\n", + "[1] 3.260325\n", + "\n", + "$MSE_list[[39]][[40]]\n", + "[1] 3.18317\n", + "\n", + "$MSE_list[[39]][[41]]\n", + "[1] 5.794595\n", + "\n", + "$MSE_list[[39]][[42]]\n", + "[1] 3.878166\n", + "\n", + "$MSE_list[[39]][[43]]\n", + "[1] 4.321092\n", + "\n", + "$MSE_list[[39]][[44]]\n", + "[1] 4.483496\n", + "\n", + "$MSE_list[[39]][[45]]\n", + "[1] 1.910473\n", + "\n", + "$MSE_list[[39]][[46]]\n", + "[1] 5.431126\n", + "\n", + "$MSE_list[[39]][[47]]\n", + "[1] 4.565844\n", + "\n", + "$MSE_list[[39]][[48]]\n", + "[1] 5.442226\n", + "\n", + "$MSE_list[[39]][[49]]\n", + "[1] 1.341147\n", + "\n", + "$MSE_list[[39]][[50]]\n", + "[1] 1.875192\n", + "\n", + "$MSE_list[[39]][[51]]\n", + "[1] 3.978944\n", + "\n", + "$MSE_list[[39]][[52]]\n", + "[1] 3.50907\n", + "\n", + "$MSE_list[[39]][[53]]\n", + "[1] 6.401701\n", + "\n", + "$MSE_list[[39]][[54]]\n", + "[1] 2.162005\n", + "\n", + "$MSE_list[[39]][[55]]\n", + "[1] 2.419049\n", + "\n", + "$MSE_list[[39]][[56]]\n", + "[1] 3.902273\n", + "\n", + "$MSE_list[[39]][[57]]\n", + "[1] 4.133031\n", + "\n", + "$MSE_list[[39]][[58]]\n", + "[1] 3.953105\n", + "\n", + "$MSE_list[[39]][[59]]\n", + "[1] 2.22058\n", + "\n", + "$MSE_list[[39]][[60]]\n", + "[1] 1.971864\n", + "\n", + "$MSE_list[[39]][[61]]\n", + "[1] 2.806618\n", + "\n", + "$MSE_list[[39]][[62]]\n", + "[1] 2.09617\n", + "\n", + "$MSE_list[[39]][[63]]\n", + "[1] 3.466148\n", + "\n", + "$MSE_list[[39]][[64]]\n", + "[1] 2.77247\n", + "\n", + "$MSE_list[[39]][[65]]\n", + "[1] 0.6917673\n", + "\n", + "$MSE_list[[39]][[66]]\n", + "[1] 0.9904223\n", + "\n", + "$MSE_list[[39]][[67]]\n", + "[1] 5.112511\n", + "\n", + "$MSE_list[[39]][[68]]\n", + "[1] 4.383668\n", + "\n", + "$MSE_list[[39]][[69]]\n", + "[1] 5.429265\n", + "\n", + "$MSE_list[[39]][[70]]\n", + "[1] 4.138063\n", + "\n", + "$MSE_list[[39]][[71]]\n", + "[1] 2.219549\n", + "\n", + "$MSE_list[[39]][[72]]\n", + "[1] 3.355923\n", + "\n", + "$MSE_list[[39]][[73]]\n", + "[1] 4.953575\n", + "\n", + "$MSE_list[[39]][[74]]\n", + "[1] 2.864404\n", + "\n", + "$MSE_list[[39]][[75]]\n", + "[1] 5.042242\n", + "\n", + "$MSE_list[[39]][[76]]\n", + "[1] 6.302761\n", + "\n", + "$MSE_list[[39]][[77]]\n", + "[1] 3.843188\n", + "\n", + "$MSE_list[[39]][[78]]\n", + "[1] 6.909177\n", + "\n", + "$MSE_list[[39]][[79]]\n", + "[1] 1.723999\n", + "\n", + "$MSE_list[[39]][[80]]\n", + "[1] 2.888379\n", + "\n", + "$MSE_list[[39]][[81]]\n", + "[1] 2.595784\n", + "\n", + "$MSE_list[[39]][[82]]\n", + "[1] 2.485305\n", + "\n", + "$MSE_list[[39]][[83]]\n", + "[1] 6.15397\n", + "\n", + "$MSE_list[[39]][[84]]\n", + "[1] 7.778806\n", + "\n", + "$MSE_list[[39]][[85]]\n", + "[1] 7.292818\n", + "\n", + "$MSE_list[[39]][[86]]\n", + "[1] 3.916196\n", + "\n", + "$MSE_list[[39]][[87]]\n", + "[1] 3.735032\n", + "\n", + "$MSE_list[[39]][[88]]\n", + "[1] 2.034033\n", + "\n", + "$MSE_list[[39]][[89]]\n", + "[1] 5.477656\n", + "\n", + "$MSE_list[[39]][[90]]\n", + "[1] 2.432711\n", + "\n", + "$MSE_list[[39]][[91]]\n", + "[1] 5.13472\n", + "\n", + "$MSE_list[[39]][[92]]\n", + "[1] 5.626499\n", + "\n", + "$MSE_list[[39]][[93]]\n", + "[1] 4.209565\n", + "\n", + "$MSE_list[[39]][[94]]\n", + "[1] 2.14304\n", + "\n", + "$MSE_list[[39]][[95]]\n", + "[1] 2.492244\n", + "\n", + "$MSE_list[[39]][[96]]\n", + "[1] 3.991725\n", + "\n", + "$MSE_list[[39]][[97]]\n", + "[1] 2.287702\n", + "\n", + "$MSE_list[[39]][[98]]\n", + "[1] 0.6516535\n", + "\n", + "$MSE_list[[39]][[99]]\n", + "[1] 1.61614\n", + "\n", + "$MSE_list[[39]][[100]]\n", + "[1] 2.727188\n", + "\n", + "\n", + "$MSE_list[[40]]\n", + "$MSE_list[[40]][[1]]\n", + "[1] 1.527281\n", + "\n", + "$MSE_list[[40]][[2]]\n", + "[1] 5.974832\n", + "\n", + "$MSE_list[[40]][[3]]\n", + "[1] 1.909188\n", + "\n", + "$MSE_list[[40]][[4]]\n", + "[1] 1.149001\n", + "\n", + "$MSE_list[[40]][[5]]\n", + "[1] 3.159654\n", + "\n", + "$MSE_list[[40]][[6]]\n", + "[1] 4.505297\n", + "\n", + "$MSE_list[[40]][[7]]\n", + "[1] 3.962891\n", + "\n", + "$MSE_list[[40]][[8]]\n", + "[1] 2.835557\n", + "\n", + "$MSE_list[[40]][[9]]\n", + "[1] 1.692994\n", + "\n", + "$MSE_list[[40]][[10]]\n", + "[1] 2.600887\n", + "\n", + "$MSE_list[[40]][[11]]\n", + "[1] 1.384586\n", + "\n", + "$MSE_list[[40]][[12]]\n", + "[1] 3.852286\n", + "\n", + "$MSE_list[[40]][[13]]\n", + "[1] 1.399499\n", + "\n", + "$MSE_list[[40]][[14]]\n", + "[1] 0.8204003\n", + "\n", + "$MSE_list[[40]][[15]]\n", + "[1] 2.146455\n", + "\n", + "$MSE_list[[40]][[16]]\n", + "[1] 1.515223\n", + "\n", + "$MSE_list[[40]][[17]]\n", + "[1] 1.666424\n", + "\n", + "$MSE_list[[40]][[18]]\n", + "[1] 0.6532568\n", + "\n", + "$MSE_list[[40]][[19]]\n", + "[1] 4.98255\n", + "\n", + "$MSE_list[[40]][[20]]\n", + "[1] 4.062822\n", + "\n", + "$MSE_list[[40]][[21]]\n", + "[1] 3.338254\n", + "\n", + "$MSE_list[[40]][[22]]\n", + "[1] 2.07516\n", + "\n", + "$MSE_list[[40]][[23]]\n", + "[1] 2.331456\n", + "\n", + "$MSE_list[[40]][[24]]\n", + "[1] 3.242363\n", + "\n", + "$MSE_list[[40]][[25]]\n", + "[1] 2.167269\n", + "\n", + "$MSE_list[[40]][[26]]\n", + "[1] 1.875172\n", + "\n", + "$MSE_list[[40]][[27]]\n", + "[1] 1.337755\n", + "\n", + "$MSE_list[[40]][[28]]\n", + "[1] 4.126723\n", + "\n", + "$MSE_list[[40]][[29]]\n", + "[1] 1.763559\n", + "\n", + "$MSE_list[[40]][[30]]\n", + "[1] 1.328265\n", + "\n", + "$MSE_list[[40]][[31]]\n", + "[1] 6.89479\n", + "\n", + "$MSE_list[[40]][[32]]\n", + "[1] 2.665823\n", + "\n", + "$MSE_list[[40]][[33]]\n", + "[1] 3.152146\n", + "\n", + "$MSE_list[[40]][[34]]\n", + "[1] 2.513393\n", + "\n", + "$MSE_list[[40]][[35]]\n", + "[1] 1.878171\n", + "\n", + "$MSE_list[[40]][[36]]\n", + "[1] 1.808863\n", + "\n", + "$MSE_list[[40]][[37]]\n", + "[1] 5.397243\n", + "\n", + "$MSE_list[[40]][[38]]\n", + "[1] 3.69315\n", + "\n", + "$MSE_list[[40]][[39]]\n", + "[1] 3.174258\n", + "\n", + "$MSE_list[[40]][[40]]\n", + "[1] 4.464053\n", + "\n", + "$MSE_list[[40]][[41]]\n", + "[1] 2.013305\n", + "\n", + "$MSE_list[[40]][[42]]\n", + "[1] 3.653454\n", + "\n", + "$MSE_list[[40]][[43]]\n", + "[1] 3.967074\n", + "\n", + "$MSE_list[[40]][[44]]\n", + "[1] 1.235718\n", + "\n", + "$MSE_list[[40]][[45]]\n", + "[1] 1.413973\n", + "\n", + "$MSE_list[[40]][[46]]\n", + "[1] 2.611706\n", + "\n", + "$MSE_list[[40]][[47]]\n", + "[1] 2.689147\n", + "\n", + "$MSE_list[[40]][[48]]\n", + "[1] 2.950446\n", + "\n", + "$MSE_list[[40]][[49]]\n", + "[1] 0.8961004\n", + "\n", + "$MSE_list[[40]][[50]]\n", + "[1] 1.848378\n", + "\n", + "$MSE_list[[40]][[51]]\n", + "[1] 2.92457\n", + "\n", + "$MSE_list[[40]][[52]]\n", + "[1] 1.131633\n", + "\n", + "$MSE_list[[40]][[53]]\n", + "[1] 4.264414\n", + "\n", + "$MSE_list[[40]][[54]]\n", + "[1] 0.6146989\n", + "\n", + "$MSE_list[[40]][[55]]\n", + "[1] 2.839915\n", + "\n", + "$MSE_list[[40]][[56]]\n", + "[1] 4.002809\n", + "\n", + "$MSE_list[[40]][[57]]\n", + "[1] 2.80436\n", + "\n", + "$MSE_list[[40]][[58]]\n", + "[1] 0.8557699\n", + "\n", + "$MSE_list[[40]][[59]]\n", + "[1] 1.53531\n", + "\n", + "$MSE_list[[40]][[60]]\n", + "[1] 2.946736\n", + "\n", + "$MSE_list[[40]][[61]]\n", + "[1] 4.016025\n", + "\n", + "$MSE_list[[40]][[62]]\n", + "[1] 5.499364\n", + "\n", + "$MSE_list[[40]][[63]]\n", + "[1] 1.59155\n", + "\n", + "$MSE_list[[40]][[64]]\n", + "[1] 0.8471554\n", + "\n", + "$MSE_list[[40]][[65]]\n", + "[1] 3.281728\n", + "\n", + "$MSE_list[[40]][[66]]\n", + "[1] 4.929328\n", + "\n", + "$MSE_list[[40]][[67]]\n", + "[1] 2.526613\n", + "\n", + "$MSE_list[[40]][[68]]\n", + "[1] 2.85192\n", + "\n", + "$MSE_list[[40]][[69]]\n", + "[1] 4.357316\n", + "\n", + "$MSE_list[[40]][[70]]\n", + "[1] 1.424547\n", + "\n", + "$MSE_list[[40]][[71]]\n", + "[1] 5.320961\n", + "\n", + "$MSE_list[[40]][[72]]\n", + "[1] 5.526415\n", + "\n", + "$MSE_list[[40]][[73]]\n", + "[1] 3.043259\n", + "\n", + "$MSE_list[[40]][[74]]\n", + "[1] 4.188219\n", + "\n", + "$MSE_list[[40]][[75]]\n", + "[1] 3.551325\n", + "\n", + "$MSE_list[[40]][[76]]\n", + "[1] 1.434609\n", + "\n", + "$MSE_list[[40]][[77]]\n", + "[1] 1.334096\n", + "\n", + "$MSE_list[[40]][[78]]\n", + "[1] 1.187163\n", + "\n", + "$MSE_list[[40]][[79]]\n", + "[1] 3.841263\n", + "\n", + "$MSE_list[[40]][[80]]\n", + "[1] 8.004457\n", + "\n", + "$MSE_list[[40]][[81]]\n", + "[1] 2.055998\n", + "\n", + "$MSE_list[[40]][[82]]\n", + "[1] 0.8559614\n", + "\n", + "$MSE_list[[40]][[83]]\n", + "[1] 5.458102\n", + "\n", + "$MSE_list[[40]][[84]]\n", + "[1] 3.946241\n", + "\n", + "$MSE_list[[40]][[85]]\n", + "[1] 0.859133\n", + "\n", + "$MSE_list[[40]][[86]]\n", + "[1] 4.258398\n", + "\n", + "$MSE_list[[40]][[87]]\n", + "[1] 2.789898\n", + "\n", + "$MSE_list[[40]][[88]]\n", + "[1] 1.338792\n", + "\n", + "$MSE_list[[40]][[89]]\n", + "[1] 2.991873\n", + "\n", + "$MSE_list[[40]][[90]]\n", + "[1] 1.510831\n", + "\n", + "$MSE_list[[40]][[91]]\n", + "[1] 3.125245\n", + "\n", + "$MSE_list[[40]][[92]]\n", + "[1] 2.045203\n", + "\n", + "$MSE_list[[40]][[93]]\n", + "[1] 3.532609\n", + "\n", + "$MSE_list[[40]][[94]]\n", + "[1] 0.9544176\n", + "\n", + "$MSE_list[[40]][[95]]\n", + "[1] 0.3551784\n", + "\n", + "$MSE_list[[40]][[96]]\n", + "[1] 3.568002\n", + "\n", + "$MSE_list[[40]][[97]]\n", + "[1] 1.125974\n", + "\n", + "$MSE_list[[40]][[98]]\n", + "[1] 2.728944\n", + "\n", + "$MSE_list[[40]][[99]]\n", + "[1] 4.304162\n", + "\n", + "$MSE_list[[40]][[100]]\n", + "[1] 1.040404\n", + "\n", + "\n", + "$MSE_list[[41]]\n", + "$MSE_list[[41]][[1]]\n", + "[1] 1.658762\n", + "\n", + "$MSE_list[[41]][[2]]\n", + "[1] 3.950352\n", + "\n", + "$MSE_list[[41]][[3]]\n", + "[1] 3.303728\n", + "\n", + "$MSE_list[[41]][[4]]\n", + "[1] 2.483722\n", + "\n", + "$MSE_list[[41]][[5]]\n", + "[1] 3.633413\n", + "\n", + "$MSE_list[[41]][[6]]\n", + "[1] 5.425573\n", + "\n", + "$MSE_list[[41]][[7]]\n", + "[1] 3.612824\n", + "\n", + "$MSE_list[[41]][[8]]\n", + "[1] 0.9083887\n", + "\n", + "$MSE_list[[41]][[9]]\n", + "[1] 3.012845\n", + "\n", + "$MSE_list[[41]][[10]]\n", + "[1] 2.917456\n", + "\n", + "$MSE_list[[41]][[11]]\n", + "[1] 7.842658\n", + "\n", + "$MSE_list[[41]][[12]]\n", + "[1] 0.8904706\n", + "\n", + "$MSE_list[[41]][[13]]\n", + "[1] 4.472443\n", + "\n", + "$MSE_list[[41]][[14]]\n", + "[1] 0.9187495\n", + "\n", + "$MSE_list[[41]][[15]]\n", + "[1] 3.514757\n", + "\n", + "$MSE_list[[41]][[16]]\n", + "[1] 4.804474\n", + "\n", + "$MSE_list[[41]][[17]]\n", + "[1] 3.757933\n", + "\n", + "$MSE_list[[41]][[18]]\n", + "[1] 3.677774\n", + "\n", + "$MSE_list[[41]][[19]]\n", + "[1] 7.54832\n", + "\n", + "$MSE_list[[41]][[20]]\n", + "[1] 8.582296\n", + "\n", + "$MSE_list[[41]][[21]]\n", + "[1] 0.2928238\n", + "\n", + "$MSE_list[[41]][[22]]\n", + "[1] 6.915972\n", + "\n", + "$MSE_list[[41]][[23]]\n", + "[1] 8.450737\n", + "\n", + "$MSE_list[[41]][[24]]\n", + "[1] 1.341077\n", + "\n", + "$MSE_list[[41]][[25]]\n", + "[1] 5.98695\n", + "\n", + "$MSE_list[[41]][[26]]\n", + "[1] 0.6498503\n", + "\n", + "$MSE_list[[41]][[27]]\n", + "[1] 4.711984\n", + "\n", + "$MSE_list[[41]][[28]]\n", + "[1] 2.602243\n", + "\n", + "$MSE_list[[41]][[29]]\n", + "[1] 2.120942\n", + "\n", + "$MSE_list[[41]][[30]]\n", + "[1] 0.4132277\n", + "\n", + "$MSE_list[[41]][[31]]\n", + "[1] 8.096155\n", + "\n", + "$MSE_list[[41]][[32]]\n", + "[1] 5.139656\n", + "\n", + "$MSE_list[[41]][[33]]\n", + "[1] 3.929132\n", + "\n", + "$MSE_list[[41]][[34]]\n", + "[1] 1.378956\n", + "\n", + "$MSE_list[[41]][[35]]\n", + "[1] 6.394675\n", + "\n", + "$MSE_list[[41]][[36]]\n", + "[1] 6.877694\n", + "\n", + "$MSE_list[[41]][[37]]\n", + "[1] 3.814546\n", + "\n", + "$MSE_list[[41]][[38]]\n", + "[1] 2.436469\n", + "\n", + "$MSE_list[[41]][[39]]\n", + "[1] 5.218483\n", + "\n", + "$MSE_list[[41]][[40]]\n", + "[1] 1.496622\n", + "\n", + "$MSE_list[[41]][[41]]\n", + "[1] 5.675309\n", + "\n", + "$MSE_list[[41]][[42]]\n", + "[1] 3.545354\n", + "\n", + "$MSE_list[[41]][[43]]\n", + "[1] 1.886585\n", + "\n", + "$MSE_list[[41]][[44]]\n", + "[1] 1.096033\n", + "\n", + "$MSE_list[[41]][[45]]\n", + "[1] 3.066335\n", + "\n", + "$MSE_list[[41]][[46]]\n", + "[1] 2.04213\n", + "\n", + "$MSE_list[[41]][[47]]\n", + "[1] 1.700512\n", + "\n", + "$MSE_list[[41]][[48]]\n", + "[1] 4.71906\n", + "\n", + "$MSE_list[[41]][[49]]\n", + "[1] 6.971254\n", + "\n", + "$MSE_list[[41]][[50]]\n", + "[1] 1.438579\n", + "\n", + "$MSE_list[[41]][[51]]\n", + "[1] 0.4676885\n", + "\n", + "$MSE_list[[41]][[52]]\n", + "[1] 2.854569\n", + "\n", + "$MSE_list[[41]][[53]]\n", + "[1] 5.289545\n", + "\n", + "$MSE_list[[41]][[54]]\n", + "[1] 1.243945\n", + "\n", + "$MSE_list[[41]][[55]]\n", + "[1] 1.563096\n", + "\n", + "$MSE_list[[41]][[56]]\n", + "[1] 1.807441\n", + "\n", + "$MSE_list[[41]][[57]]\n", + "[1] 3.16004\n", + "\n", + "$MSE_list[[41]][[58]]\n", + "[1] 1.400808\n", + "\n", + "$MSE_list[[41]][[59]]\n", + "[1] 2.805288\n", + "\n", + "$MSE_list[[41]][[60]]\n", + "[1] 3.431342\n", + "\n", + "$MSE_list[[41]][[61]]\n", + "[1] 0.5991758\n", + "\n", + "$MSE_list[[41]][[62]]\n", + "[1] 2.166529\n", + "\n", + "$MSE_list[[41]][[63]]\n", + "[1] 1.512762\n", + "\n", + "$MSE_list[[41]][[64]]\n", + "[1] 3.513084\n", + "\n", + "$MSE_list[[41]][[65]]\n", + "[1] 4.016757\n", + "\n", + "$MSE_list[[41]][[66]]\n", + "[1] 5.517634\n", + "\n", + "$MSE_list[[41]][[67]]\n", + "[1] 3.610719\n", + "\n", + "$MSE_list[[41]][[68]]\n", + "[1] 5.928423\n", + "\n", + "$MSE_list[[41]][[69]]\n", + "[1] 0.9274518\n", + "\n", + "$MSE_list[[41]][[70]]\n", + "[1] 2.463206\n", + "\n", + "$MSE_list[[41]][[71]]\n", + "[1] 5.315158\n", + "\n", + "$MSE_list[[41]][[72]]\n", + "[1] 1.195728\n", + "\n", + "$MSE_list[[41]][[73]]\n", + "[1] 3.397871\n", + "\n", + "$MSE_list[[41]][[74]]\n", + "[1] 2.114297\n", + "\n", + "$MSE_list[[41]][[75]]\n", + "[1] 6.761748\n", + "\n", + "$MSE_list[[41]][[76]]\n", + "[1] 2.158457\n", + "\n", + "$MSE_list[[41]][[77]]\n", + "[1] 4.144573\n", + "\n", + "$MSE_list[[41]][[78]]\n", + "[1] 2.06442\n", + "\n", + "$MSE_list[[41]][[79]]\n", + "[1] 1.988463\n", + "\n", + "$MSE_list[[41]][[80]]\n", + "[1] 0.7772686\n", + "\n", + "$MSE_list[[41]][[81]]\n", + "[1] 6.151286\n", + "\n", + "$MSE_list[[41]][[82]]\n", + "[1] 2.087809\n", + "\n", + "$MSE_list[[41]][[83]]\n", + "[1] 4.086868\n", + "\n", + "$MSE_list[[41]][[84]]\n", + "[1] 3.026107\n", + "\n", + "$MSE_list[[41]][[85]]\n", + "[1] 2.385585\n", + "\n", + "$MSE_list[[41]][[86]]\n", + "[1] 0.9574106\n", + "\n", + "$MSE_list[[41]][[87]]\n", + "[1] 4.536865\n", + "\n", + "$MSE_list[[41]][[88]]\n", + "[1] 4.806668\n", + "\n", + "$MSE_list[[41]][[89]]\n", + "[1] 0.4722302\n", + "\n", + "$MSE_list[[41]][[90]]\n", + "[1] 1.002814\n", + "\n", + "$MSE_list[[41]][[91]]\n", + "[1] 6.171339\n", + "\n", + "$MSE_list[[41]][[92]]\n", + "[1] 1.305649\n", + "\n", + "$MSE_list[[41]][[93]]\n", + "[1] 4.486875\n", + "\n", + "$MSE_list[[41]][[94]]\n", + "[1] 4.903278\n", + "\n", + "$MSE_list[[41]][[95]]\n", + "[1] 5.973317\n", + "\n", + "$MSE_list[[41]][[96]]\n", + "[1] 2.988446\n", + "\n", + "$MSE_list[[41]][[97]]\n", + "[1] 4.035397\n", + "\n", + "$MSE_list[[41]][[98]]\n", + "[1] 4.635803\n", + "\n", + "$MSE_list[[41]][[99]]\n", + "[1] 5.108214\n", + "\n", + "$MSE_list[[41]][[100]]\n", + "[1] 4.88169\n", + "\n", + "\n", + "$MSE_list[[42]]\n", + "$MSE_list[[42]][[1]]\n", + "[1] 1.426016\n", + "\n", + "$MSE_list[[42]][[2]]\n", + "[1] 3.498894\n", + "\n", + "$MSE_list[[42]][[3]]\n", + "[1] 1.704884\n", + "\n", + "$MSE_list[[42]][[4]]\n", + "[1] 1.530181\n", + "\n", + "$MSE_list[[42]][[5]]\n", + "[1] 1.59742\n", + "\n", + "$MSE_list[[42]][[6]]\n", + "[1] 2.671651\n", + "\n", + "$MSE_list[[42]][[7]]\n", + "[1] 1.281925\n", + "\n", + "$MSE_list[[42]][[8]]\n", + "[1] 0.9523603\n", + "\n", + "$MSE_list[[42]][[9]]\n", + "[1] 8.067782\n", + "\n", + "$MSE_list[[42]][[10]]\n", + "[1] 1.569517\n", + "\n", + "$MSE_list[[42]][[11]]\n", + "[1] 1.435914\n", + "\n", + "$MSE_list[[42]][[12]]\n", + "[1] 0.9734814\n", + "\n", + "$MSE_list[[42]][[13]]\n", + "[1] 4.033229\n", + "\n", + "$MSE_list[[42]][[14]]\n", + "[1] 1.732616\n", + "\n", + "$MSE_list[[42]][[15]]\n", + "[1] 2.137954\n", + "\n", + "$MSE_list[[42]][[16]]\n", + "[1] 4.04258\n", + "\n", + "$MSE_list[[42]][[17]]\n", + "[1] 1.192311\n", + "\n", + "$MSE_list[[42]][[18]]\n", + "[1] 0.5818148\n", + "\n", + "$MSE_list[[42]][[19]]\n", + "[1] 1.771807\n", + "\n", + "$MSE_list[[42]][[20]]\n", + "[1] 3.237715\n", + "\n", + "$MSE_list[[42]][[21]]\n", + "[1] 8.476386\n", + "\n", + "$MSE_list[[42]][[22]]\n", + "[1] 1.30162\n", + "\n", + "$MSE_list[[42]][[23]]\n", + "[1] 3.082617\n", + "\n", + "$MSE_list[[42]][[24]]\n", + "[1] 4.792509\n", + "\n", + "$MSE_list[[42]][[25]]\n", + "[1] 0.8673614\n", + "\n", + "$MSE_list[[42]][[26]]\n", + "[1] 1.816415\n", + "\n", + "$MSE_list[[42]][[27]]\n", + "[1] 2.412404\n", + "\n", + "$MSE_list[[42]][[28]]\n", + "[1] 5.125135\n", + "\n", + "$MSE_list[[42]][[29]]\n", + "[1] 1.742509\n", + "\n", + "$MSE_list[[42]][[30]]\n", + "[1] 3.887267\n", + "\n", + "$MSE_list[[42]][[31]]\n", + "[1] 0.7276623\n", + "\n", + "$MSE_list[[42]][[32]]\n", + "[1] 8.781113\n", + "\n", + "$MSE_list[[42]][[33]]\n", + "[1] 4.345277\n", + "\n", + "$MSE_list[[42]][[34]]\n", + "[1] 1.330505\n", + "\n", + "$MSE_list[[42]][[35]]\n", + "[1] 4.220999\n", + "\n", + "$MSE_list[[42]][[36]]\n", + "[1] 2.001777\n", + "\n", + "$MSE_list[[42]][[37]]\n", + "[1] 5.626619\n", + "\n", + "$MSE_list[[42]][[38]]\n", + "[1] 1.137746\n", + "\n", + "$MSE_list[[42]][[39]]\n", + "[1] 6.511352\n", + "\n", + "$MSE_list[[42]][[40]]\n", + "[1] 6.483407\n", + "\n", + "$MSE_list[[42]][[41]]\n", + "[1] 1.101798\n", + "\n", + "$MSE_list[[42]][[42]]\n", + "[1] 1.182697\n", + "\n", + "$MSE_list[[42]][[43]]\n", + "[1] 1.499496\n", + "\n", + "$MSE_list[[42]][[44]]\n", + "[1] 2.572779\n", + "\n", + "$MSE_list[[42]][[45]]\n", + "[1] 4.959599\n", + "\n", + "$MSE_list[[42]][[46]]\n", + "[1] 2.557849\n", + "\n", + "$MSE_list[[42]][[47]]\n", + "[1] 1.007654\n", + "\n", + "$MSE_list[[42]][[48]]\n", + "[1] 7.476148\n", + "\n", + "$MSE_list[[42]][[49]]\n", + "[1] 1.624281\n", + "\n", + "$MSE_list[[42]][[50]]\n", + "[1] 4.969961\n", + "\n", + "$MSE_list[[42]][[51]]\n", + "[1] 5.664379\n", + "\n", + "$MSE_list[[42]][[52]]\n", + "[1] 4.5114\n", + "\n", + "$MSE_list[[42]][[53]]\n", + "[1] 9.686089\n", + "\n", + "$MSE_list[[42]][[54]]\n", + "[1] 0.8506313\n", + "\n", + "$MSE_list[[42]][[55]]\n", + "[1] 6.629229\n", + "\n", + "$MSE_list[[42]][[56]]\n", + "[1] 4.532636\n", + "\n", + "$MSE_list[[42]][[57]]\n", + "[1] 5.385605\n", + "\n", + "$MSE_list[[42]][[58]]\n", + "[1] 5.345506\n", + "\n", + "$MSE_list[[42]][[59]]\n", + "[1] 0.5503071\n", + "\n", + "$MSE_list[[42]][[60]]\n", + "[1] 6.196588\n", + "\n", + "$MSE_list[[42]][[61]]\n", + "[1] 3.539\n", + "\n", + "$MSE_list[[42]][[62]]\n", + "[1] 0.6914776\n", + "\n", + "$MSE_list[[42]][[63]]\n", + "[1] 4.161789\n", + "\n", + "$MSE_list[[42]][[64]]\n", + "[1] 4.313027\n", + "\n", + "$MSE_list[[42]][[65]]\n", + "[1] 2.397039\n", + "\n", + "$MSE_list[[42]][[66]]\n", + "[1] 5.061391\n", + "\n", + "$MSE_list[[42]][[67]]\n", + "[1] 1.095753\n", + "\n", + "$MSE_list[[42]][[68]]\n", + "[1] 4.24233\n", + "\n", + "$MSE_list[[42]][[69]]\n", + "[1] 1.595205\n", + "\n", + "$MSE_list[[42]][[70]]\n", + "[1] 4.306253\n", + "\n", + "$MSE_list[[42]][[71]]\n", + "[1] 1.181618\n", + "\n", + "$MSE_list[[42]][[72]]\n", + "[1] 1.562985\n", + "\n", + "$MSE_list[[42]][[73]]\n", + "[1] 1.080263\n", + "\n", + "$MSE_list[[42]][[74]]\n", + "[1] 1.88819\n", + "\n", + "$MSE_list[[42]][[75]]\n", + "[1] 4.21553\n", + "\n", + "$MSE_list[[42]][[76]]\n", + "[1] 3.768119\n", + "\n", + "$MSE_list[[42]][[77]]\n", + "[1] 6.171086\n", + "\n", + "$MSE_list[[42]][[78]]\n", + "[1] 1.217798\n", + "\n", + "$MSE_list[[42]][[79]]\n", + "[1] 3.567218\n", + "\n", + "$MSE_list[[42]][[80]]\n", + "[1] 1.785695\n", + "\n", + "$MSE_list[[42]][[81]]\n", + "[1] 5.50475\n", + "\n", + "$MSE_list[[42]][[82]]\n", + "[1] 1.609387\n", + "\n", + "$MSE_list[[42]][[83]]\n", + "[1] 2.31595\n", + "\n", + "$MSE_list[[42]][[84]]\n", + "[1] 1.892458\n", + "\n", + "$MSE_list[[42]][[85]]\n", + "[1] 0.2420808\n", + "\n", + "$MSE_list[[42]][[86]]\n", + "[1] 9.053255\n", + "\n", + "$MSE_list[[42]][[87]]\n", + "[1] 0.7047396\n", + "\n", + "$MSE_list[[42]][[88]]\n", + "[1] 0.9804846\n", + "\n", + "$MSE_list[[42]][[89]]\n", + "[1] 0.7524684\n", + "\n", + "$MSE_list[[42]][[90]]\n", + "[1] 1.56142\n", + "\n", + "$MSE_list[[42]][[91]]\n", + "[1] 1.565881\n", + "\n", + "$MSE_list[[42]][[92]]\n", + "[1] 2.666836\n", + "\n", + "$MSE_list[[42]][[93]]\n", + "[1] 2.002778\n", + "\n", + "$MSE_list[[42]][[94]]\n", + "[1] 1.124589\n", + "\n", + "$MSE_list[[42]][[95]]\n", + "[1] 3.105794\n", + "\n", + "$MSE_list[[42]][[96]]\n", + "[1] 2.494742\n", + "\n", + "$MSE_list[[42]][[97]]\n", + "[1] 3.417097\n", + "\n", + "$MSE_list[[42]][[98]]\n", + "[1] 2.812874\n", + "\n", + "$MSE_list[[42]][[99]]\n", + "[1] 1.546952\n", + "\n", + "$MSE_list[[42]][[100]]\n", + "[1] 1.214066\n", + "\n", + "\n", + "$MSE_list[[43]]\n", + "$MSE_list[[43]][[1]]\n", + "[1] 1.609358\n", + "\n", + "$MSE_list[[43]][[2]]\n", + "[1] 3.089411\n", + "\n", + "$MSE_list[[43]][[3]]\n", + "[1] 7.244822\n", + "\n", + "$MSE_list[[43]][[4]]\n", + "[1] 2.815999\n", + "\n", + "$MSE_list[[43]][[5]]\n", + "[1] 2.703628\n", + "\n", + "$MSE_list[[43]][[6]]\n", + "[1] 7.018761\n", + "\n", + "$MSE_list[[43]][[7]]\n", + "[1] 7.579391\n", + "\n", + "$MSE_list[[43]][[8]]\n", + "[1] 6.383674\n", + "\n", + "$MSE_list[[43]][[9]]\n", + "[1] 3.000334\n", + "\n", + "$MSE_list[[43]][[10]]\n", + "[1] 6.426906\n", + "\n", + "$MSE_list[[43]][[11]]\n", + "[1] 6.501935\n", + "\n", + "$MSE_list[[43]][[12]]\n", + "[1] 3.83197\n", + "\n", + "$MSE_list[[43]][[13]]\n", + "[1] 5.295048\n", + "\n", + "$MSE_list[[43]][[14]]\n", + "[1] 8.478821\n", + "\n", + "$MSE_list[[43]][[15]]\n", + "[1] 5.72199\n", + "\n", + "$MSE_list[[43]][[16]]\n", + "[1] 3.01065\n", + "\n", + "$MSE_list[[43]][[17]]\n", + "[1] 2.291674\n", + "\n", + "$MSE_list[[43]][[18]]\n", + "[1] 1.790331\n", + "\n", + "$MSE_list[[43]][[19]]\n", + "[1] 4.162774\n", + "\n", + "$MSE_list[[43]][[20]]\n", + "[1] 6.129526\n", + "\n", + "$MSE_list[[43]][[21]]\n", + "[1] 7.756755\n", + "\n", + "$MSE_list[[43]][[22]]\n", + "[1] 7.063827\n", + "\n", + "$MSE_list[[43]][[23]]\n", + "[1] 10.49671\n", + "\n", + "$MSE_list[[43]][[24]]\n", + "[1] 6.629661\n", + "\n", + "$MSE_list[[43]][[25]]\n", + "[1] 4.723411\n", + "\n", + "$MSE_list[[43]][[26]]\n", + "[1] 2.444013\n", + "\n", + "$MSE_list[[43]][[27]]\n", + "[1] 5.500977\n", + "\n", + "$MSE_list[[43]][[28]]\n", + "[1] 3.744926\n", + "\n", + "$MSE_list[[43]][[29]]\n", + "[1] 2.218179\n", + "\n", + "$MSE_list[[43]][[30]]\n", + "[1] 4.369315\n", + "\n", + "$MSE_list[[43]][[31]]\n", + "[1] 4.512133\n", + "\n", + "$MSE_list[[43]][[32]]\n", + "[1] 4.709912\n", + "\n", + "$MSE_list[[43]][[33]]\n", + "[1] 0.7712255\n", + "\n", + "$MSE_list[[43]][[34]]\n", + "[1] 8.39562\n", + "\n", + "$MSE_list[[43]][[35]]\n", + "[1] 4.642044\n", + "\n", + "$MSE_list[[43]][[36]]\n", + "[1] 7.225882\n", + "\n", + "$MSE_list[[43]][[37]]\n", + "[1] 3.674651\n", + "\n", + "$MSE_list[[43]][[38]]\n", + "[1] 2.353199\n", + "\n", + "$MSE_list[[43]][[39]]\n", + "[1] 3.954128\n", + "\n", + "$MSE_list[[43]][[40]]\n", + "[1] 3.055575\n", + "\n", + "$MSE_list[[43]][[41]]\n", + "[1] 1.06137\n", + "\n", + "$MSE_list[[43]][[42]]\n", + "[1] 1.104141\n", + "\n", + "$MSE_list[[43]][[43]]\n", + "[1] 3.806718\n", + "\n", + "$MSE_list[[43]][[44]]\n", + "[1] 6.565931\n", + "\n", + "$MSE_list[[43]][[45]]\n", + "[1] 2.285927\n", + "\n", + "$MSE_list[[43]][[46]]\n", + "[1] 4.857728\n", + "\n", + "$MSE_list[[43]][[47]]\n", + "[1] 5.642045\n", + "\n", + "$MSE_list[[43]][[48]]\n", + "[1] 12.70286\n", + "\n", + "$MSE_list[[43]][[49]]\n", + "[1] 3.510216\n", + "\n", + "$MSE_list[[43]][[50]]\n", + "[1] 7.469641\n", + "\n", + "$MSE_list[[43]][[51]]\n", + "[1] 3.25147\n", + "\n", + "$MSE_list[[43]][[52]]\n", + "[1] 1.223813\n", + "\n", + "$MSE_list[[43]][[53]]\n", + "[1] 3.531368\n", + "\n", + "$MSE_list[[43]][[54]]\n", + "[1] 2.846994\n", + "\n", + "$MSE_list[[43]][[55]]\n", + "[1] 6.89303\n", + "\n", + "$MSE_list[[43]][[56]]\n", + "[1] 1.570125\n", + "\n", + "$MSE_list[[43]][[57]]\n", + "[1] 3.006656\n", + "\n", + "$MSE_list[[43]][[58]]\n", + "[1] 5.3436\n", + "\n", + "$MSE_list[[43]][[59]]\n", + "[1] 5.999803\n", + "\n", + "$MSE_list[[43]][[60]]\n", + "[1] 3.301714\n", + "\n", + "$MSE_list[[43]][[61]]\n", + "[1] 4.088959\n", + "\n", + "$MSE_list[[43]][[62]]\n", + "[1] 1.757813\n", + "\n", + "$MSE_list[[43]][[63]]\n", + "[1] 6.351036\n", + "\n", + "$MSE_list[[43]][[64]]\n", + "[1] 3.242571\n", + "\n", + "$MSE_list[[43]][[65]]\n", + "[1] 6.922917\n", + "\n", + "$MSE_list[[43]][[66]]\n", + "[1] 5.502845\n", + "\n", + "$MSE_list[[43]][[67]]\n", + "[1] 5.485561\n", + "\n", + "$MSE_list[[43]][[68]]\n", + "[1] 6.943824\n", + "\n", + "$MSE_list[[43]][[69]]\n", + "[1] 7.367215\n", + "\n", + "$MSE_list[[43]][[70]]\n", + "[1] 6.935507\n", + "\n", + "$MSE_list[[43]][[71]]\n", + "[1] 4.522481\n", + "\n", + "$MSE_list[[43]][[72]]\n", + "[1] 4.768589\n", + "\n", + "$MSE_list[[43]][[73]]\n", + "[1] 6.122344\n", + "\n", + "$MSE_list[[43]][[74]]\n", + "[1] 4.41876\n", + "\n", + "$MSE_list[[43]][[75]]\n", + "[1] 6.504647\n", + "\n", + "$MSE_list[[43]][[76]]\n", + "[1] 7.019023\n", + "\n", + "$MSE_list[[43]][[77]]\n", + "[1] 3.235505\n", + "\n", + "$MSE_list[[43]][[78]]\n", + "[1] 6.364345\n", + "\n", + "$MSE_list[[43]][[79]]\n", + "[1] 3.873921\n", + "\n", + "$MSE_list[[43]][[80]]\n", + "[1] 3.83888\n", + "\n", + "$MSE_list[[43]][[81]]\n", + "[1] 5.322469\n", + "\n", + "$MSE_list[[43]][[82]]\n", + "[1] 7.118216\n", + "\n", + "$MSE_list[[43]][[83]]\n", + "[1] 6.598602\n", + "\n", + "$MSE_list[[43]][[84]]\n", + "[1] 3.566995\n", + "\n", + "$MSE_list[[43]][[85]]\n", + "[1] 5.712505\n", + "\n", + "$MSE_list[[43]][[86]]\n", + "[1] 5.12374\n", + "\n", + "$MSE_list[[43]][[87]]\n", + "[1] 5.444144\n", + "\n", + "$MSE_list[[43]][[88]]\n", + "[1] 1.629099\n", + "\n", + "$MSE_list[[43]][[89]]\n", + "[1] 4.058062\n", + "\n", + "$MSE_list[[43]][[90]]\n", + "[1] 9.979782\n", + "\n", + "$MSE_list[[43]][[91]]\n", + "[1] 7.243642\n", + "\n", + "$MSE_list[[43]][[92]]\n", + "[1] 3.191943\n", + "\n", + "$MSE_list[[43]][[93]]\n", + "[1] 7.516983\n", + "\n", + "$MSE_list[[43]][[94]]\n", + "[1] 4.108268\n", + "\n", + "$MSE_list[[43]][[95]]\n", + "[1] 7.126321\n", + "\n", + "$MSE_list[[43]][[96]]\n", + "[1] 2.824078\n", + "\n", + "$MSE_list[[43]][[97]]\n", + "[1] 2.387891\n", + "\n", + "$MSE_list[[43]][[98]]\n", + "[1] 5.48609\n", + "\n", + "$MSE_list[[43]][[99]]\n", + "[1] 4.5703\n", + "\n", + "$MSE_list[[43]][[100]]\n", + "[1] 4.028379\n", + "\n", + "\n", + "$MSE_list[[44]]\n", + "$MSE_list[[44]][[1]]\n", + "[1] 3.967708\n", + "\n", + "$MSE_list[[44]][[2]]\n", + "[1] 1.843844\n", + "\n", + "$MSE_list[[44]][[3]]\n", + "[1] 5.980468\n", + "\n", + "$MSE_list[[44]][[4]]\n", + "[1] 8.533202\n", + "\n", + "$MSE_list[[44]][[5]]\n", + "[1] 6.686329\n", + "\n", + "$MSE_list[[44]][[6]]\n", + "[1] 5.477989\n", + "\n", + "$MSE_list[[44]][[7]]\n", + "[1] 6.006174\n", + "\n", + "$MSE_list[[44]][[8]]\n", + "[1] 3.983611\n", + "\n", + "$MSE_list[[44]][[9]]\n", + "[1] 4.498278\n", + "\n", + "$MSE_list[[44]][[10]]\n", + "[1] 4.201486\n", + "\n", + "$MSE_list[[44]][[11]]\n", + "[1] 3.555025\n", + "\n", + "$MSE_list[[44]][[12]]\n", + "[1] 6.156143\n", + "\n", + "$MSE_list[[44]][[13]]\n", + "[1] 4.947581\n", + "\n", + "$MSE_list[[44]][[14]]\n", + "[1] 2.524282\n", + "\n", + "$MSE_list[[44]][[15]]\n", + "[1] 5.774349\n", + "\n", + "$MSE_list[[44]][[16]]\n", + "[1] 3.050318\n", + "\n", + "$MSE_list[[44]][[17]]\n", + "[1] 1.138688\n", + "\n", + "$MSE_list[[44]][[18]]\n", + "[1] 5.61518\n", + "\n", + "$MSE_list[[44]][[19]]\n", + "[1] 8.682306\n", + "\n", + "$MSE_list[[44]][[20]]\n", + "[1] 0.6787033\n", + "\n", + "$MSE_list[[44]][[21]]\n", + "[1] 4.108968\n", + "\n", + "$MSE_list[[44]][[22]]\n", + "[1] 5.144276\n", + "\n", + "$MSE_list[[44]][[23]]\n", + "[1] 9.105879\n", + "\n", + "$MSE_list[[44]][[24]]\n", + "[1] 1.323079\n", + "\n", + "$MSE_list[[44]][[25]]\n", + "[1] 7.003592\n", + "\n", + "$MSE_list[[44]][[26]]\n", + "[1] 10.77548\n", + "\n", + "$MSE_list[[44]][[27]]\n", + "[1] 5.39406\n", + "\n", + "$MSE_list[[44]][[28]]\n", + "[1] 5.303151\n", + "\n", + "$MSE_list[[44]][[29]]\n", + "[1] 5.684828\n", + "\n", + "$MSE_list[[44]][[30]]\n", + "[1] 1.309332\n", + "\n", + "$MSE_list[[44]][[31]]\n", + "[1] 8.228803\n", + "\n", + "$MSE_list[[44]][[32]]\n", + "[1] 6.910098\n", + "\n", + "$MSE_list[[44]][[33]]\n", + "[1] 5.083052\n", + "\n", + "$MSE_list[[44]][[34]]\n", + "[1] 6.632422\n", + "\n", + "$MSE_list[[44]][[35]]\n", + "[1] 4.604727\n", + "\n", + "$MSE_list[[44]][[36]]\n", + "[1] 4.580812\n", + "\n", + "$MSE_list[[44]][[37]]\n", + "[1] 2.214141\n", + "\n", + "$MSE_list[[44]][[38]]\n", + "[1] 9.395229\n", + "\n", + "$MSE_list[[44]][[39]]\n", + "[1] 8.024952\n", + "\n", + "$MSE_list[[44]][[40]]\n", + "[1] 5.592653\n", + "\n", + "$MSE_list[[44]][[41]]\n", + "[1] 7.368265\n", + "\n", + "$MSE_list[[44]][[42]]\n", + "[1] 5.301351\n", + "\n", + "$MSE_list[[44]][[43]]\n", + "[1] 7.027763\n", + "\n", + "$MSE_list[[44]][[44]]\n", + "[1] 4.354463\n", + "\n", + "$MSE_list[[44]][[45]]\n", + "[1] 4.306572\n", + "\n", + "$MSE_list[[44]][[46]]\n", + "[1] 5.85061\n", + "\n", + "$MSE_list[[44]][[47]]\n", + "[1] 1.434959\n", + "\n", + "$MSE_list[[44]][[48]]\n", + "[1] 6.166893\n", + "\n", + "$MSE_list[[44]][[49]]\n", + "[1] 5.034953\n", + "\n", + "$MSE_list[[44]][[50]]\n", + "[1] 4.244742\n", + "\n", + "$MSE_list[[44]][[51]]\n", + "[1] 6.35532\n", + "\n", + "$MSE_list[[44]][[52]]\n", + "[1] 4.812388\n", + "\n", + "$MSE_list[[44]][[53]]\n", + "[1] 10.1274\n", + "\n", + "$MSE_list[[44]][[54]]\n", + "[1] 5.791151\n", + "\n", + "$MSE_list[[44]][[55]]\n", + "[1] 6.077218\n", + "\n", + "$MSE_list[[44]][[56]]\n", + "[1] 3.142701\n", + "\n", + "$MSE_list[[44]][[57]]\n", + "[1] 7.929741\n", + "\n", + "$MSE_list[[44]][[58]]\n", + "[1] 7.325243\n", + "\n", + "$MSE_list[[44]][[59]]\n", + "[1] 4.929195\n", + "\n", + "$MSE_list[[44]][[60]]\n", + "[1] 2.330007\n", + "\n", + "$MSE_list[[44]][[61]]\n", + "[1] 4.582725\n", + "\n", + "$MSE_list[[44]][[62]]\n", + "[1] 6.650095\n", + "\n", + "$MSE_list[[44]][[63]]\n", + "[1] 2.781132\n", + "\n", + "$MSE_list[[44]][[64]]\n", + "[1] 4.552268\n", + "\n", + "$MSE_list[[44]][[65]]\n", + "[1] 4.695934\n", + "\n", + "$MSE_list[[44]][[66]]\n", + "[1] 1.842624\n", + "\n", + "$MSE_list[[44]][[67]]\n", + "[1] 7.045237\n", + "\n", + "$MSE_list[[44]][[68]]\n", + "[1] 5.230594\n", + "\n", + "$MSE_list[[44]][[69]]\n", + "[1] 6.658782\n", + "\n", + "$MSE_list[[44]][[70]]\n", + "[1] 5.503616\n", + "\n", + "$MSE_list[[44]][[71]]\n", + "[1] 2.636293\n", + "\n", + "$MSE_list[[44]][[72]]\n", + "[1] 7.133062\n", + "\n", + "$MSE_list[[44]][[73]]\n", + "[1] 3.512566\n", + "\n", + "$MSE_list[[44]][[74]]\n", + "[1] 4.443117\n", + "\n", + "$MSE_list[[44]][[75]]\n", + "[1] 7.625149\n", + "\n", + "$MSE_list[[44]][[76]]\n", + "[1] 3.450565\n", + "\n", + "$MSE_list[[44]][[77]]\n", + "[1] 1.262639\n", + "\n", + "$MSE_list[[44]][[78]]\n", + "[1] 4.203366\n", + "\n", + "$MSE_list[[44]][[79]]\n", + "[1] 5.681409\n", + "\n", + "$MSE_list[[44]][[80]]\n", + "[1] 6.812075\n", + "\n", + "$MSE_list[[44]][[81]]\n", + "[1] 4.13626\n", + "\n", + "$MSE_list[[44]][[82]]\n", + "[1] 4.78668\n", + "\n", + "$MSE_list[[44]][[83]]\n", + "[1] 9.707047\n", + "\n", + "$MSE_list[[44]][[84]]\n", + "[1] 5.720149\n", + "\n", + "$MSE_list[[44]][[85]]\n", + "[1] 7.025859\n", + "\n", + "$MSE_list[[44]][[86]]\n", + "[1] 1.984259\n", + "\n", + "$MSE_list[[44]][[87]]\n", + "[1] 4.487229\n", + "\n", + "$MSE_list[[44]][[88]]\n", + "[1] 2.578155\n", + "\n", + "$MSE_list[[44]][[89]]\n", + "[1] 6.370561\n", + "\n", + "$MSE_list[[44]][[90]]\n", + "[1] 4.003271\n", + "\n", + "$MSE_list[[44]][[91]]\n", + "[1] 1.751355\n", + "\n", + "$MSE_list[[44]][[92]]\n", + "[1] 4.317177\n", + "\n", + "$MSE_list[[44]][[93]]\n", + "[1] 4.498726\n", + "\n", + "$MSE_list[[44]][[94]]\n", + "[1] 6.265778\n", + "\n", + "$MSE_list[[44]][[95]]\n", + "[1] 1.986661\n", + "\n", + "$MSE_list[[44]][[96]]\n", + "[1] 8.183215\n", + "\n", + "$MSE_list[[44]][[97]]\n", + "[1] 5.762012\n", + "\n", + "$MSE_list[[44]][[98]]\n", + "[1] 5.501732\n", + "\n", + "$MSE_list[[44]][[99]]\n", + "[1] 5.590607\n", + "\n", + "$MSE_list[[44]][[100]]\n", + "[1] 5.498602\n", + "\n", + "\n", + "$MSE_list[[45]]\n", + "$MSE_list[[45]][[1]]\n", + "[1] 3.793383\n", + "\n", + "$MSE_list[[45]][[2]]\n", + "[1] 7.110974\n", + "\n", + "$MSE_list[[45]][[3]]\n", + "[1] 5.08566\n", + "\n", + "$MSE_list[[45]][[4]]\n", + "[1] 3.324466\n", + "\n", + "$MSE_list[[45]][[5]]\n", + "[1] 3.896458\n", + "\n", + "$MSE_list[[45]][[6]]\n", + "[1] 5.345036\n", + "\n", + "$MSE_list[[45]][[7]]\n", + "[1] 2.566058\n", + "\n", + "$MSE_list[[45]][[8]]\n", + "[1] 5.516273\n", + "\n", + "$MSE_list[[45]][[9]]\n", + "[1] 4.028022\n", + "\n", + "$MSE_list[[45]][[10]]\n", + "[1] 4.906402\n", + "\n", + "$MSE_list[[45]][[11]]\n", + "[1] 7.001264\n", + "\n", + "$MSE_list[[45]][[12]]\n", + "[1] 5.321069\n", + "\n", + "$MSE_list[[45]][[13]]\n", + "[1] 1.43282\n", + "\n", + "$MSE_list[[45]][[14]]\n", + "[1] 4.49034\n", + "\n", + "$MSE_list[[45]][[15]]\n", + "[1] 5.073117\n", + "\n", + "$MSE_list[[45]][[16]]\n", + "[1] 3.864851\n", + "\n", + "$MSE_list[[45]][[17]]\n", + "[1] 3.84077\n", + "\n", + "$MSE_list[[45]][[18]]\n", + "[1] 4.557332\n", + "\n", + "$MSE_list[[45]][[19]]\n", + "[1] 4.38908\n", + "\n", + "$MSE_list[[45]][[20]]\n", + "[1] 4.60464\n", + "\n", + "$MSE_list[[45]][[21]]\n", + "[1] 3.97453\n", + "\n", + "$MSE_list[[45]][[22]]\n", + "[1] 3.555144\n", + "\n", + "$MSE_list[[45]][[23]]\n", + "[1] 3.591115\n", + "\n", + "$MSE_list[[45]][[24]]\n", + "[1] 3.609909\n", + "\n", + "$MSE_list[[45]][[25]]\n", + "[1] 2.102484\n", + "\n", + "$MSE_list[[45]][[26]]\n", + "[1] 6.78688\n", + "\n", + "$MSE_list[[45]][[27]]\n", + "[1] 2.242855\n", + "\n", + "$MSE_list[[45]][[28]]\n", + "[1] 3.776338\n", + "\n", + "$MSE_list[[45]][[29]]\n", + "[1] 4.227897\n", + "\n", + "$MSE_list[[45]][[30]]\n", + "[1] 4.674936\n", + "\n", + "$MSE_list[[45]][[31]]\n", + "[1] 2.237788\n", + "\n", + "$MSE_list[[45]][[32]]\n", + "[1] 4.488035\n", + "\n", + "$MSE_list[[45]][[33]]\n", + "[1] 3.672188\n", + "\n", + "$MSE_list[[45]][[34]]\n", + "[1] 2.486054\n", + "\n", + "$MSE_list[[45]][[35]]\n", + "[1] 3.760252\n", + "\n", + "$MSE_list[[45]][[36]]\n", + "[1] 2.894315\n", + "\n", + "$MSE_list[[45]][[37]]\n", + "[1] 2.89628\n", + "\n", + "$MSE_list[[45]][[38]]\n", + "[1] 6.143873\n", + "\n", + "$MSE_list[[45]][[39]]\n", + "[1] 2.921232\n", + "\n", + "$MSE_list[[45]][[40]]\n", + "[1] 3.185849\n", + "\n", + "$MSE_list[[45]][[41]]\n", + "[1] 2.243716\n", + "\n", + "$MSE_list[[45]][[42]]\n", + "[1] 3.499637\n", + "\n", + "$MSE_list[[45]][[43]]\n", + "[1] 1.043923\n", + "\n", + "$MSE_list[[45]][[44]]\n", + "[1] 5.101719\n", + "\n", + "$MSE_list[[45]][[45]]\n", + "[1] 3.477127\n", + "\n", + "$MSE_list[[45]][[46]]\n", + "[1] 2.654697\n", + "\n", + "$MSE_list[[45]][[47]]\n", + "[1] 4.996488\n", + "\n", + "$MSE_list[[45]][[48]]\n", + "[1] 4.34822\n", + "\n", + "$MSE_list[[45]][[49]]\n", + "[1] 4.749973\n", + "\n", + "$MSE_list[[45]][[50]]\n", + "[1] 6.077967\n", + "\n", + "$MSE_list[[45]][[51]]\n", + "[1] 4.70269\n", + "\n", + "$MSE_list[[45]][[52]]\n", + "[1] 2.108957\n", + "\n", + "$MSE_list[[45]][[53]]\n", + "[1] 7.027054\n", + "\n", + "$MSE_list[[45]][[54]]\n", + "[1] 4.357257\n", + "\n", + "$MSE_list[[45]][[55]]\n", + "[1] 3.556242\n", + "\n", + "$MSE_list[[45]][[56]]\n", + "[1] 2.077656\n", + "\n", + "$MSE_list[[45]][[57]]\n", + "[1] 2.528593\n", + "\n", + "$MSE_list[[45]][[58]]\n", + "[1] 3.264032\n", + "\n", + "$MSE_list[[45]][[59]]\n", + "[1] 5.49073\n", + "\n", + "$MSE_list[[45]][[60]]\n", + "[1] 3.194156\n", + "\n", + "$MSE_list[[45]][[61]]\n", + "[1] 3.830169\n", + "\n", + "$MSE_list[[45]][[62]]\n", + "[1] 7.176141\n", + "\n", + "$MSE_list[[45]][[63]]\n", + "[1] 5.1493\n", + "\n", + "$MSE_list[[45]][[64]]\n", + "[1] 1.403862\n", + "\n", + "$MSE_list[[45]][[65]]\n", + "[1] 1.670621\n", + "\n", + "$MSE_list[[45]][[66]]\n", + "[1] 2.503871\n", + "\n", + "$MSE_list[[45]][[67]]\n", + "[1] 2.191029\n", + "\n", + "$MSE_list[[45]][[68]]\n", + "[1] 5.745875\n", + "\n", + "$MSE_list[[45]][[69]]\n", + "[1] 2.72661\n", + "\n", + "$MSE_list[[45]][[70]]\n", + "[1] 3.26854\n", + "\n", + "$MSE_list[[45]][[71]]\n", + "[1] 3.80824\n", + "\n", + "$MSE_list[[45]][[72]]\n", + "[1] 5.113016\n", + "\n", + "$MSE_list[[45]][[73]]\n", + "[1] 5.214905\n", + "\n", + "$MSE_list[[45]][[74]]\n", + "[1] 2.554189\n", + "\n", + "$MSE_list[[45]][[75]]\n", + "[1] 5.678982\n", + "\n", + "$MSE_list[[45]][[76]]\n", + "[1] 1.491739\n", + "\n", + "$MSE_list[[45]][[77]]\n", + "[1] 1.862376\n", + "\n", + "$MSE_list[[45]][[78]]\n", + "[1] 3.954977\n", + "\n", + "$MSE_list[[45]][[79]]\n", + "[1] 5.712919\n", + "\n", + "$MSE_list[[45]][[80]]\n", + "[1] 5.821261\n", + "\n", + "$MSE_list[[45]][[81]]\n", + "[1] 1.833318\n", + "\n", + "$MSE_list[[45]][[82]]\n", + "[1] 2.578297\n", + "\n", + "$MSE_list[[45]][[83]]\n", + "[1] 6.574071\n", + "\n", + "$MSE_list[[45]][[84]]\n", + "[1] 4.702011\n", + "\n", + "$MSE_list[[45]][[85]]\n", + "[1] 2.103314\n", + "\n", + "$MSE_list[[45]][[86]]\n", + "[1] 5.563168\n", + "\n", + "$MSE_list[[45]][[87]]\n", + "[1] 4.649136\n", + "\n", + "$MSE_list[[45]][[88]]\n", + "[1] 2.872612\n", + "\n", + "$MSE_list[[45]][[89]]\n", + "[1] 3.225129\n", + "\n", + "$MSE_list[[45]][[90]]\n", + "[1] 4.325307\n", + "\n", + "$MSE_list[[45]][[91]]\n", + "[1] 2.878192\n", + "\n", + "$MSE_list[[45]][[92]]\n", + "[1] 2.077529\n", + "\n", + "$MSE_list[[45]][[93]]\n", + "[1] 3.897456\n", + "\n", + "$MSE_list[[45]][[94]]\n", + "[1] 2.891116\n", + "\n", + "$MSE_list[[45]][[95]]\n", + "[1] 1.693912\n", + "\n", + "$MSE_list[[45]][[96]]\n", + "[1] 4.361776\n", + "\n", + "$MSE_list[[45]][[97]]\n", + "[1] 6.499448\n", + "\n", + "$MSE_list[[45]][[98]]\n", + "[1] 2.594487\n", + "\n", + "$MSE_list[[45]][[99]]\n", + "[1] 1.064108\n", + "\n", + "$MSE_list[[45]][[100]]\n", + "[1] 4.915649\n", + "\n", + "\n", + "$MSE_list[[46]]\n", + "$MSE_list[[46]][[1]]\n", + "[1] 0.682214\n", + "\n", + "$MSE_list[[46]][[2]]\n", + "[1] 5.608998\n", + "\n", + "$MSE_list[[46]][[3]]\n", + "[1] 1.312413\n", + "\n", + "$MSE_list[[46]][[4]]\n", + "[1] 2.181493\n", + "\n", + "$MSE_list[[46]][[5]]\n", + "[1] 4.226356\n", + "\n", + "$MSE_list[[46]][[6]]\n", + "[1] 3.977972\n", + "\n", + "$MSE_list[[46]][[7]]\n", + "[1] 3.687685\n", + "\n", + "$MSE_list[[46]][[8]]\n", + "[1] 1.674504\n", + "\n", + "$MSE_list[[46]][[9]]\n", + "[1] 2.39864\n", + "\n", + "$MSE_list[[46]][[10]]\n", + "[1] 3.210044\n", + "\n", + "$MSE_list[[46]][[11]]\n", + "[1] 2.396975\n", + "\n", + "$MSE_list[[46]][[12]]\n", + "[1] 6.191279\n", + "\n", + "$MSE_list[[46]][[13]]\n", + "[1] 1.116964\n", + "\n", + "$MSE_list[[46]][[14]]\n", + "[1] 2.2628\n", + "\n", + "$MSE_list[[46]][[15]]\n", + "[1] 1.979074\n", + "\n", + "$MSE_list[[46]][[16]]\n", + "[1] 1.291826\n", + "\n", + "$MSE_list[[46]][[17]]\n", + "[1] 4.30543\n", + "\n", + "$MSE_list[[46]][[18]]\n", + "[1] 1.175228\n", + "\n", + "$MSE_list[[46]][[19]]\n", + "[1] 3.28545\n", + "\n", + "$MSE_list[[46]][[20]]\n", + "[1] 3.794973\n", + "\n", + "$MSE_list[[46]][[21]]\n", + "[1] 1.268292\n", + "\n", + "$MSE_list[[46]][[22]]\n", + "[1] 0.7703297\n", + "\n", + "$MSE_list[[46]][[23]]\n", + "[1] 2.482258\n", + "\n", + "$MSE_list[[46]][[24]]\n", + "[1] 3.247731\n", + "\n", + "$MSE_list[[46]][[25]]\n", + "[1] 3.968971\n", + "\n", + "$MSE_list[[46]][[26]]\n", + "[1] 1.893124\n", + "\n", + "$MSE_list[[46]][[27]]\n", + "[1] 1.234231\n", + "\n", + "$MSE_list[[46]][[28]]\n", + "[1] 2.32493\n", + "\n", + "$MSE_list[[46]][[29]]\n", + "[1] 1.382664\n", + "\n", + "$MSE_list[[46]][[30]]\n", + "[1] 1.73978\n", + "\n", + "$MSE_list[[46]][[31]]\n", + "[1] 2.019212\n", + "\n", + "$MSE_list[[46]][[32]]\n", + "[1] 2.128586\n", + "\n", + "$MSE_list[[46]][[33]]\n", + "[1] 1.757252\n", + "\n", + "$MSE_list[[46]][[34]]\n", + "[1] 2.923841\n", + "\n", + "$MSE_list[[46]][[35]]\n", + "[1] 2.281853\n", + "\n", + "$MSE_list[[46]][[36]]\n", + "[1] 2.790877\n", + "\n", + "$MSE_list[[46]][[37]]\n", + "[1] 2.212145\n", + "\n", + "$MSE_list[[46]][[38]]\n", + "[1] 6.588397\n", + "\n", + "$MSE_list[[46]][[39]]\n", + "[1] 3.873764\n", + "\n", + "$MSE_list[[46]][[40]]\n", + "[1] 2.056655\n", + "\n", + "$MSE_list[[46]][[41]]\n", + "[1] 4.007847\n", + "\n", + "$MSE_list[[46]][[42]]\n", + "[1] 3.058639\n", + "\n", + "$MSE_list[[46]][[43]]\n", + "[1] 4.253566\n", + "\n", + "$MSE_list[[46]][[44]]\n", + "[1] 3.707851\n", + "\n", + "$MSE_list[[46]][[45]]\n", + "[1] 2.933156\n", + "\n", + "$MSE_list[[46]][[46]]\n", + "[1] 1.435979\n", + "\n", + "$MSE_list[[46]][[47]]\n", + "[1] 1.837123\n", + "\n", + "$MSE_list[[46]][[48]]\n", + "[1] 1.107772\n", + "\n", + "$MSE_list[[46]][[49]]\n", + "[1] 4.44863\n", + "\n", + "$MSE_list[[46]][[50]]\n", + "[1] 3.01701\n", + "\n", + "$MSE_list[[46]][[51]]\n", + "[1] 2.311301\n", + "\n", + "$MSE_list[[46]][[52]]\n", + "[1] 2.351848\n", + "\n", + "$MSE_list[[46]][[53]]\n", + "[1] 3.936835\n", + "\n", + "$MSE_list[[46]][[54]]\n", + "[1] 2.504738\n", + "\n", + "$MSE_list[[46]][[55]]\n", + "[1] 2.85232\n", + "\n", + "$MSE_list[[46]][[56]]\n", + "[1] 1.836407\n", + "\n", + "$MSE_list[[46]][[57]]\n", + "[1] 1.899655\n", + "\n", + "$MSE_list[[46]][[58]]\n", + "[1] 2.029617\n", + "\n", + "$MSE_list[[46]][[59]]\n", + "[1] 2.501903\n", + "\n", + "$MSE_list[[46]][[60]]\n", + "[1] 1.466245\n", + "\n", + "$MSE_list[[46]][[61]]\n", + "[1] 3.070053\n", + "\n", + "$MSE_list[[46]][[62]]\n", + "[1] 1.691329\n", + "\n", + "$MSE_list[[46]][[63]]\n", + "[1] 2.280529\n", + "\n", + "$MSE_list[[46]][[64]]\n", + "[1] 2.291984\n", + "\n", + "$MSE_list[[46]][[65]]\n", + "[1] 5.199601\n", + "\n", + "$MSE_list[[46]][[66]]\n", + "[1] 1.201673\n", + "\n", + "$MSE_list[[46]][[67]]\n", + "[1] 2.975598\n", + "\n", + "$MSE_list[[46]][[68]]\n", + "[1] 6.451154\n", + "\n", + "$MSE_list[[46]][[69]]\n", + "[1] 2.508819\n", + "\n", + "$MSE_list[[46]][[70]]\n", + "[1] 2.335378\n", + "\n", + "$MSE_list[[46]][[71]]\n", + "[1] 2.220698\n", + "\n", + "$MSE_list[[46]][[72]]\n", + "[1] 3.495945\n", + "\n", + "$MSE_list[[46]][[73]]\n", + "[1] 1.684244\n", + "\n", + "$MSE_list[[46]][[74]]\n", + "[1] 3.146091\n", + "\n", + "$MSE_list[[46]][[75]]\n", + "[1] 2.095044\n", + "\n", + "$MSE_list[[46]][[76]]\n", + "[1] 1.268241\n", + "\n", + "$MSE_list[[46]][[77]]\n", + "[1] 1.613568\n", + "\n", + "$MSE_list[[46]][[78]]\n", + "[1] 5.595814\n", + "\n", + "$MSE_list[[46]][[79]]\n", + "[1] 6.115247\n", + "\n", + "$MSE_list[[46]][[80]]\n", + "[1] 1.102315\n", + "\n", + "$MSE_list[[46]][[81]]\n", + "[1] 3.531381\n", + "\n", + "$MSE_list[[46]][[82]]\n", + "[1] 1.311733\n", + "\n", + "$MSE_list[[46]][[83]]\n", + "[1] 2.133274\n", + "\n", + "$MSE_list[[46]][[84]]\n", + "[1] 3.34\n", + "\n", + "$MSE_list[[46]][[85]]\n", + "[1] 3.064951\n", + "\n", + "$MSE_list[[46]][[86]]\n", + "[1] 1.702794\n", + "\n", + "$MSE_list[[46]][[87]]\n", + "[1] 1.544543\n", + "\n", + "$MSE_list[[46]][[88]]\n", + "[1] 1.697103\n", + "\n", + "$MSE_list[[46]][[89]]\n", + "[1] 1.793674\n", + "\n", + "$MSE_list[[46]][[90]]\n", + "[1] 3.551226\n", + "\n", + "$MSE_list[[46]][[91]]\n", + "[1] 1.458598\n", + "\n", + "$MSE_list[[46]][[92]]\n", + "[1] 1.778649\n", + "\n", + "$MSE_list[[46]][[93]]\n", + "[1] 1.59396\n", + "\n", + "$MSE_list[[46]][[94]]\n", + "[1] 3.790582\n", + "\n", + "$MSE_list[[46]][[95]]\n", + "[1] 1.985396\n", + "\n", + "$MSE_list[[46]][[96]]\n", + "[1] 3.053333\n", + "\n", + "$MSE_list[[46]][[97]]\n", + "[1] 3.101294\n", + "\n", + "$MSE_list[[46]][[98]]\n", + "[1] 4.62379\n", + "\n", + "$MSE_list[[46]][[99]]\n", + "[1] 3.50521\n", + "\n", + "$MSE_list[[46]][[100]]\n", + "[1] 4.109101\n", + "\n", + "\n", + "$MSE_list[[47]]\n", + "$MSE_list[[47]][[1]]\n", + "[1] 2.302236\n", + "\n", + "$MSE_list[[47]][[2]]\n", + "[1] 3.368614\n", + "\n", + "$MSE_list[[47]][[3]]\n", + "[1] 4.702982\n", + "\n", + "$MSE_list[[47]][[4]]\n", + "[1] 6.344453\n", + "\n", + "$MSE_list[[47]][[5]]\n", + "[1] 8.389285\n", + "\n", + "$MSE_list[[47]][[6]]\n", + "[1] 6.416279\n", + "\n", + "$MSE_list[[47]][[7]]\n", + "[1] 6.400579\n", + "\n", + "$MSE_list[[47]][[8]]\n", + "[1] 6.883391\n", + "\n", + "$MSE_list[[47]][[9]]\n", + "[1] 3.903081\n", + "\n", + "$MSE_list[[47]][[10]]\n", + "[1] 6.131958\n", + "\n", + "$MSE_list[[47]][[11]]\n", + "[1] 1.890223\n", + "\n", + "$MSE_list[[47]][[12]]\n", + "[1] 5.618713\n", + "\n", + "$MSE_list[[47]][[13]]\n", + "[1] 6.690509\n", + "\n", + "$MSE_list[[47]][[14]]\n", + "[1] 4.467526\n", + "\n", + "$MSE_list[[47]][[15]]\n", + "[1] 3.447657\n", + "\n", + "$MSE_list[[47]][[16]]\n", + "[1] 5.280905\n", + "\n", + "$MSE_list[[47]][[17]]\n", + "[1] 2.427815\n", + "\n", + "$MSE_list[[47]][[18]]\n", + "[1] 7.499096\n", + "\n", + "$MSE_list[[47]][[19]]\n", + "[1] 3.887916\n", + "\n", + "$MSE_list[[47]][[20]]\n", + "[1] 3.392915\n", + "\n", + "$MSE_list[[47]][[21]]\n", + "[1] 6.523986\n", + "\n", + "$MSE_list[[47]][[22]]\n", + "[1] 5.820686\n", + "\n", + "$MSE_list[[47]][[23]]\n", + "[1] 1.884488\n", + "\n", + "$MSE_list[[47]][[24]]\n", + "[1] 6.999629\n", + "\n", + "$MSE_list[[47]][[25]]\n", + "[1] 2.945811\n", + "\n", + "$MSE_list[[47]][[26]]\n", + "[1] 2.984623\n", + "\n", + "$MSE_list[[47]][[27]]\n", + "[1] 5.247018\n", + "\n", + "$MSE_list[[47]][[28]]\n", + "[1] 9.462457\n", + "\n", + "$MSE_list[[47]][[29]]\n", + "[1] 3.895194\n", + "\n", + "$MSE_list[[47]][[30]]\n", + "[1] 6.049175\n", + "\n", + "$MSE_list[[47]][[31]]\n", + "[1] 1.171844\n", + "\n", + "$MSE_list[[47]][[32]]\n", + "[1] 2.096323\n", + "\n", + "$MSE_list[[47]][[33]]\n", + "[1] 5.834046\n", + "\n", + "$MSE_list[[47]][[34]]\n", + "[1] 4.493786\n", + "\n", + "$MSE_list[[47]][[35]]\n", + "[1] 4.904118\n", + "\n", + "$MSE_list[[47]][[36]]\n", + "[1] 4.177716\n", + "\n", + "$MSE_list[[47]][[37]]\n", + "[1] 1.120119\n", + "\n", + "$MSE_list[[47]][[38]]\n", + "[1] 6.719225\n", + "\n", + "$MSE_list[[47]][[39]]\n", + "[1] 6.56029\n", + "\n", + "$MSE_list[[47]][[40]]\n", + "[1] 5.778231\n", + "\n", + "$MSE_list[[47]][[41]]\n", + "[1] 1.181698\n", + "\n", + "$MSE_list[[47]][[42]]\n", + "[1] 3.395978\n", + "\n", + "$MSE_list[[47]][[43]]\n", + "[1] 1.553533\n", + "\n", + "$MSE_list[[47]][[44]]\n", + "[1] 2.919072\n", + "\n", + "$MSE_list[[47]][[45]]\n", + "[1] 3.159803\n", + "\n", + "$MSE_list[[47]][[46]]\n", + "[1] 5.168857\n", + "\n", + "$MSE_list[[47]][[47]]\n", + "[1] 4.202955\n", + "\n", + "$MSE_list[[47]][[48]]\n", + "[1] 5.732984\n", + "\n", + "$MSE_list[[47]][[49]]\n", + "[1] 7.201106\n", + "\n", + "$MSE_list[[47]][[50]]\n", + "[1] 6.726713\n", + "\n", + "$MSE_list[[47]][[51]]\n", + "[1] 4.892207\n", + "\n", + "$MSE_list[[47]][[52]]\n", + "[1] 2.957521\n", + "\n", + "$MSE_list[[47]][[53]]\n", + "[1] 5.234006\n", + "\n", + "$MSE_list[[47]][[54]]\n", + "[1] 5.247068\n", + "\n", + "$MSE_list[[47]][[55]]\n", + "[1] 8.070531\n", + "\n", + "$MSE_list[[47]][[56]]\n", + "[1] 5.390774\n", + "\n", + "$MSE_list[[47]][[57]]\n", + "[1] 4.946123\n", + "\n", + "$MSE_list[[47]][[58]]\n", + "[1] 6.989213\n", + "\n", + "$MSE_list[[47]][[59]]\n", + "[1] 6.741802\n", + "\n", + "$MSE_list[[47]][[60]]\n", + "[1] 2.468567\n", + "\n", + "$MSE_list[[47]][[61]]\n", + "[1] 2.053149\n", + "\n", + "$MSE_list[[47]][[62]]\n", + "[1] 0.6642133\n", + "\n", + "$MSE_list[[47]][[63]]\n", + "[1] 4.151464\n", + "\n", + "$MSE_list[[47]][[64]]\n", + "[1] 4.406199\n", + "\n", + "$MSE_list[[47]][[65]]\n", + "[1] 5.591169\n", + "\n", + "$MSE_list[[47]][[66]]\n", + "[1] 5.499648\n", + "\n", + "$MSE_list[[47]][[67]]\n", + "[1] 3.985654\n", + "\n", + "$MSE_list[[47]][[68]]\n", + "[1] 6.570349\n", + "\n", + "$MSE_list[[47]][[69]]\n", + "[1] 5.738332\n", + "\n", + "$MSE_list[[47]][[70]]\n", + "[1] 3.229037\n", + "\n", + "$MSE_list[[47]][[71]]\n", + "[1] 1.898931\n", + "\n", + "$MSE_list[[47]][[72]]\n", + "[1] 5.067643\n", + "\n", + "$MSE_list[[47]][[73]]\n", + "[1] 7.001946\n", + "\n", + "$MSE_list[[47]][[74]]\n", + "[1] 4.876332\n", + "\n", + "$MSE_list[[47]][[75]]\n", + "[1] 6.36836\n", + "\n", + "$MSE_list[[47]][[76]]\n", + "[1] 7.047387\n", + "\n", + "$MSE_list[[47]][[77]]\n", + "[1] 3.249029\n", + "\n", + "$MSE_list[[47]][[78]]\n", + "[1] 1.465075\n", + "\n", + "$MSE_list[[47]][[79]]\n", + "[1] 6.099897\n", + "\n", + "$MSE_list[[47]][[80]]\n", + "[1] 4.916301\n", + "\n", + "$MSE_list[[47]][[81]]\n", + "[1] 9.06723\n", + "\n", + "$MSE_list[[47]][[82]]\n", + "[1] 2.208688\n", + "\n", + "$MSE_list[[47]][[83]]\n", + "[1] 4.902242\n", + "\n", + "$MSE_list[[47]][[84]]\n", + "[1] 2.239571\n", + "\n", + "$MSE_list[[47]][[85]]\n", + "[1] 5.819394\n", + "\n", + "$MSE_list[[47]][[86]]\n", + "[1] 6.228004\n", + "\n", + "$MSE_list[[47]][[87]]\n", + "[1] 5.24533\n", + "\n", + "$MSE_list[[47]][[88]]\n", + "[1] 4.622458\n", + "\n", + "$MSE_list[[47]][[89]]\n", + "[1] 3.495226\n", + "\n", + "$MSE_list[[47]][[90]]\n", + "[1] 11.3229\n", + "\n", + "$MSE_list[[47]][[91]]\n", + "[1] 5.222625\n", + "\n", + "$MSE_list[[47]][[92]]\n", + "[1] 1.742416\n", + "\n", + "$MSE_list[[47]][[93]]\n", + "[1] 5.074207\n", + "\n", + "$MSE_list[[47]][[94]]\n", + "[1] 5.462076\n", + "\n", + "$MSE_list[[47]][[95]]\n", + "[1] 8.807042\n", + "\n", + "$MSE_list[[47]][[96]]\n", + "[1] 5.021364\n", + "\n", + "$MSE_list[[47]][[97]]\n", + "[1] 2.201279\n", + "\n", + "$MSE_list[[47]][[98]]\n", + "[1] 3.64108\n", + "\n", + "$MSE_list[[47]][[99]]\n", + "[1] 6.929219\n", + "\n", + "$MSE_list[[47]][[100]]\n", + "[1] 3.114994\n", + "\n", + "\n", + "$MSE_list[[48]]\n", + "$MSE_list[[48]][[1]]\n", + "[1] 3.290186\n", + "\n", + "$MSE_list[[48]][[2]]\n", + "[1] 2.748586\n", + "\n", + "$MSE_list[[48]][[3]]\n", + "[1] 6.283737\n", + "\n", + "$MSE_list[[48]][[4]]\n", + "[1] 7.246186\n", + "\n", + "$MSE_list[[48]][[5]]\n", + "[1] 3.566632\n", + "\n", + "$MSE_list[[48]][[6]]\n", + "[1] 6.746433\n", + "\n", + "$MSE_list[[48]][[7]]\n", + "[1] 6.541109\n", + "\n", + "$MSE_list[[48]][[8]]\n", + "[1] 4.871993\n", + "\n", + "$MSE_list[[48]][[9]]\n", + "[1] 9.544033\n", + "\n", + "$MSE_list[[48]][[10]]\n", + "[1] 6.698962\n", + "\n", + "$MSE_list[[48]][[11]]\n", + "[1] 6.618261\n", + "\n", + "$MSE_list[[48]][[12]]\n", + "[1] 1.881488\n", + "\n", + "$MSE_list[[48]][[13]]\n", + "[1] 4.866902\n", + "\n", + "$MSE_list[[48]][[14]]\n", + "[1] 7.730751\n", + "\n", + "$MSE_list[[48]][[15]]\n", + "[1] 6.713792\n", + "\n", + "$MSE_list[[48]][[16]]\n", + "[1] 1.113039\n", + "\n", + "$MSE_list[[48]][[17]]\n", + "[1] 3.673553\n", + "\n", + "$MSE_list[[48]][[18]]\n", + "[1] 2.867284\n", + "\n", + "$MSE_list[[48]][[19]]\n", + "[1] 2.520158\n", + "\n", + "$MSE_list[[48]][[20]]\n", + "[1] 10.38097\n", + "\n", + "$MSE_list[[48]][[21]]\n", + "[1] 6.865134\n", + "\n", + "$MSE_list[[48]][[22]]\n", + "[1] 10.52863\n", + "\n", + "$MSE_list[[48]][[23]]\n", + "[1] 7.372301\n", + "\n", + "$MSE_list[[48]][[24]]\n", + "[1] 5.197693\n", + "\n", + "$MSE_list[[48]][[25]]\n", + "[1] 7.100674\n", + "\n", + "$MSE_list[[48]][[26]]\n", + "[1] 9.54606\n", + "\n", + "$MSE_list[[48]][[27]]\n", + "[1] 3.745454\n", + "\n", + "$MSE_list[[48]][[28]]\n", + "[1] 3.251471\n", + "\n", + "$MSE_list[[48]][[29]]\n", + "[1] 1.640669\n", + "\n", + "$MSE_list[[48]][[30]]\n", + "[1] 3.602172\n", + "\n", + "$MSE_list[[48]][[31]]\n", + "[1] 3.138227\n", + "\n", + "$MSE_list[[48]][[32]]\n", + "[1] 1.469314\n", + "\n", + "$MSE_list[[48]][[33]]\n", + "[1] 4.105285\n", + "\n", + "$MSE_list[[48]][[34]]\n", + "[1] 4.162013\n", + "\n", + "$MSE_list[[48]][[35]]\n", + "[1] 4.008135\n", + "\n", + "$MSE_list[[48]][[36]]\n", + "[1] 3.224721\n", + "\n", + "$MSE_list[[48]][[37]]\n", + "[1] 4.150335\n", + "\n", + "$MSE_list[[48]][[38]]\n", + "[1] 4.923421\n", + "\n", + "$MSE_list[[48]][[39]]\n", + "[1] 4.551031\n", + "\n", + "$MSE_list[[48]][[40]]\n", + "[1] 6.852466\n", + "\n", + "$MSE_list[[48]][[41]]\n", + "[1] 4.890326\n", + "\n", + "$MSE_list[[48]][[42]]\n", + "[1] 3.553216\n", + "\n", + "$MSE_list[[48]][[43]]\n", + "[1] 1.79381\n", + "\n", + "$MSE_list[[48]][[44]]\n", + "[1] 6.332359\n", + "\n", + "$MSE_list[[48]][[45]]\n", + "[1] 2.043712\n", + "\n", + "$MSE_list[[48]][[46]]\n", + "[1] 0.8274708\n", + "\n", + "$MSE_list[[48]][[47]]\n", + "[1] 3.640867\n", + "\n", + "$MSE_list[[48]][[48]]\n", + "[1] 3.202594\n", + "\n", + "$MSE_list[[48]][[49]]\n", + "[1] 3.959247\n", + "\n", + "$MSE_list[[48]][[50]]\n", + "[1] 4.690794\n", + "\n", + "$MSE_list[[48]][[51]]\n", + "[1] 2.127958\n", + "\n", + "$MSE_list[[48]][[52]]\n", + "[1] 7.434483\n", + "\n", + "$MSE_list[[48]][[53]]\n", + "[1] 2.029038\n", + "\n", + "$MSE_list[[48]][[54]]\n", + "[1] 4.890827\n", + "\n", + "$MSE_list[[48]][[55]]\n", + "[1] 6.424543\n", + "\n", + "$MSE_list[[48]][[56]]\n", + "[1] 5.883083\n", + "\n", + "$MSE_list[[48]][[57]]\n", + "[1] 6.016396\n", + "\n", + "$MSE_list[[48]][[58]]\n", + "[1] 5.167772\n", + "\n", + "$MSE_list[[48]][[59]]\n", + "[1] 8.071341\n", + "\n", + "$MSE_list[[48]][[60]]\n", + "[1] 2.734808\n", + "\n", + "$MSE_list[[48]][[61]]\n", + "[1] 8.234742\n", + "\n", + "$MSE_list[[48]][[62]]\n", + "[1] 4.090811\n", + "\n", + "$MSE_list[[48]][[63]]\n", + "[1] 6.915328\n", + "\n", + "$MSE_list[[48]][[64]]\n", + "[1] 5.840217\n", + "\n", + "$MSE_list[[48]][[65]]\n", + "[1] 2.624971\n", + "\n", + "$MSE_list[[48]][[66]]\n", + "[1] 11.16792\n", + "\n", + "$MSE_list[[48]][[67]]\n", + "[1] 7.967723\n", + "\n", + "$MSE_list[[48]][[68]]\n", + "[1] 6.240319\n", + "\n", + "$MSE_list[[48]][[69]]\n", + "[1] 8.172023\n", + "\n", + "$MSE_list[[48]][[70]]\n", + "[1] 5.314201\n", + "\n", + "$MSE_list[[48]][[71]]\n", + "[1] 7.170052\n", + "\n", + "$MSE_list[[48]][[72]]\n", + "[1] 10.02906\n", + "\n", + "$MSE_list[[48]][[73]]\n", + "[1] 1.742846\n", + "\n", + "$MSE_list[[48]][[74]]\n", + "[1] 0.9093792\n", + "\n", + "$MSE_list[[48]][[75]]\n", + "[1] 1.604588\n", + "\n", + "$MSE_list[[48]][[76]]\n", + "[1] 6.69195\n", + "\n", + "$MSE_list[[48]][[77]]\n", + "[1] 4.516327\n", + "\n", + "$MSE_list[[48]][[78]]\n", + "[1] 3.745514\n", + "\n", + "$MSE_list[[48]][[79]]\n", + "[1] 7.240603\n", + "\n", + "$MSE_list[[48]][[80]]\n", + "[1] 1.189393\n", + "\n", + "$MSE_list[[48]][[81]]\n", + "[1] 6.613959\n", + "\n", + "$MSE_list[[48]][[82]]\n", + "[1] 7.563047\n", + "\n", + "$MSE_list[[48]][[83]]\n", + "[1] 2.869913\n", + "\n", + "$MSE_list[[48]][[84]]\n", + "[1] 2.348218\n", + "\n", + "$MSE_list[[48]][[85]]\n", + "[1] 3.785933\n", + "\n", + "$MSE_list[[48]][[86]]\n", + "[1] 8.097199\n", + "\n", + "$MSE_list[[48]][[87]]\n", + "[1] 7.114883\n", + "\n", + "$MSE_list[[48]][[88]]\n", + "[1] 11.5137\n", + "\n", + "$MSE_list[[48]][[89]]\n", + "[1] 0.8858791\n", + "\n", + "$MSE_list[[48]][[90]]\n", + "[1] 7.838734\n", + "\n", + "$MSE_list[[48]][[91]]\n", + "[1] 6.880421\n", + "\n", + "$MSE_list[[48]][[92]]\n", + "[1] 2.411129\n", + "\n", + "$MSE_list[[48]][[93]]\n", + "[1] 8.061449\n", + "\n", + "$MSE_list[[48]][[94]]\n", + "[1] 6.67992\n", + "\n", + "$MSE_list[[48]][[95]]\n", + "[1] 7.62505\n", + "\n", + "$MSE_list[[48]][[96]]\n", + "[1] 4.782297\n", + "\n", + "$MSE_list[[48]][[97]]\n", + "[1] 1.901933\n", + "\n", + "$MSE_list[[48]][[98]]\n", + "[1] 3.769484\n", + "\n", + "$MSE_list[[48]][[99]]\n", + "[1] 1.603617\n", + "\n", + "$MSE_list[[48]][[100]]\n", + "[1] 2.950267\n", + "\n", + "\n", + "$MSE_list[[49]]\n", + "$MSE_list[[49]][[1]]\n", + "[1] 4.807058\n", + "\n", + "$MSE_list[[49]][[2]]\n", + "[1] 6.087014\n", + "\n", + "$MSE_list[[49]][[3]]\n", + "[1] 5.933904\n", + "\n", + "$MSE_list[[49]][[4]]\n", + "[1] 8.473836\n", + "\n", + "$MSE_list[[49]][[5]]\n", + "[1] 3.115078\n", + "\n", + "$MSE_list[[49]][[6]]\n", + "[1] 4.98352\n", + "\n", + "$MSE_list[[49]][[7]]\n", + "[1] 4.975994\n", + "\n", + "$MSE_list[[49]][[8]]\n", + "[1] 1.186867\n", + "\n", + "$MSE_list[[49]][[9]]\n", + "[1] 2.167959\n", + "\n", + "$MSE_list[[49]][[10]]\n", + "[1] 6.214918\n", + "\n", + "$MSE_list[[49]][[11]]\n", + "[1] 8.009446\n", + "\n", + "$MSE_list[[49]][[12]]\n", + "[1] 4.146289\n", + "\n", + "$MSE_list[[49]][[13]]\n", + "[1] 5.187382\n", + "\n", + "$MSE_list[[49]][[14]]\n", + "[1] 1.923938\n", + "\n", + "$MSE_list[[49]][[15]]\n", + "[1] 6.30049\n", + "\n", + "$MSE_list[[49]][[16]]\n", + "[1] 2.476409\n", + "\n", + "$MSE_list[[49]][[17]]\n", + "[1] 12.51424\n", + "\n", + "$MSE_list[[49]][[18]]\n", + "[1] 7.798076\n", + "\n", + "$MSE_list[[49]][[19]]\n", + "[1] 1.852103\n", + "\n", + "$MSE_list[[49]][[20]]\n", + "[1] 4.398285\n", + "\n", + "$MSE_list[[49]][[21]]\n", + "[1] 3.234816\n", + "\n", + "$MSE_list[[49]][[22]]\n", + "[1] 4.631408\n", + "\n", + "$MSE_list[[49]][[23]]\n", + "[1] 9.29104\n", + "\n", + "$MSE_list[[49]][[24]]\n", + "[1] 5.378678\n", + "\n", + "$MSE_list[[49]][[25]]\n", + "[1] 6.036856\n", + "\n", + "$MSE_list[[49]][[26]]\n", + "[1] 4.032193\n", + "\n", + "$MSE_list[[49]][[27]]\n", + "[1] 3.618324\n", + "\n", + "$MSE_list[[49]][[28]]\n", + "[1] 2.566122\n", + "\n", + "$MSE_list[[49]][[29]]\n", + "[1] 12.57376\n", + "\n", + "$MSE_list[[49]][[30]]\n", + "[1] 5.284208\n", + "\n", + "$MSE_list[[49]][[31]]\n", + "[1] 9.080828\n", + "\n", + "$MSE_list[[49]][[32]]\n", + "[1] 5.597734\n", + "\n", + "$MSE_list[[49]][[33]]\n", + "[1] 3.159143\n", + "\n", + "$MSE_list[[49]][[34]]\n", + "[1] 2.427944\n", + "\n", + "$MSE_list[[49]][[35]]\n", + "[1] 6.517573\n", + "\n", + "$MSE_list[[49]][[36]]\n", + "[1] 4.807347\n", + "\n", + "$MSE_list[[49]][[37]]\n", + "[1] 5.351555\n", + "\n", + "$MSE_list[[49]][[38]]\n", + "[1] 5.0762\n", + "\n", + "$MSE_list[[49]][[39]]\n", + "[1] 4.331884\n", + "\n", + "$MSE_list[[49]][[40]]\n", + "[1] 3.855653\n", + "\n", + "$MSE_list[[49]][[41]]\n", + "[1] 5.58277\n", + "\n", + "$MSE_list[[49]][[42]]\n", + "[1] 8.0748\n", + "\n", + "$MSE_list[[49]][[43]]\n", + "[1] 4.166329\n", + "\n", + "$MSE_list[[49]][[44]]\n", + "[1] 2.232454\n", + "\n", + "$MSE_list[[49]][[45]]\n", + "[1] 2.356696\n", + "\n", + "$MSE_list[[49]][[46]]\n", + "[1] 7.197059\n", + "\n", + "$MSE_list[[49]][[47]]\n", + "[1] 2.509392\n", + "\n", + "$MSE_list[[49]][[48]]\n", + "[1] 5.417316\n", + "\n", + "$MSE_list[[49]][[49]]\n", + "[1] 3.929205\n", + "\n", + "$MSE_list[[49]][[50]]\n", + "[1] 7.611135\n", + "\n", + "$MSE_list[[49]][[51]]\n", + "[1] 3.225594\n", + "\n", + "$MSE_list[[49]][[52]]\n", + "[1] 6.455523\n", + "\n", + "$MSE_list[[49]][[53]]\n", + "[1] 3.505029\n", + "\n", + "$MSE_list[[49]][[54]]\n", + "[1] 5.191763\n", + "\n", + "$MSE_list[[49]][[55]]\n", + "[1] 2.347696\n", + "\n", + "$MSE_list[[49]][[56]]\n", + "[1] 4.24197\n", + "\n", + "$MSE_list[[49]][[57]]\n", + "[1] 1.871826\n", + "\n", + "$MSE_list[[49]][[58]]\n", + "[1] 1.425834\n", + "\n", + "$MSE_list[[49]][[59]]\n", + "[1] 5.458712\n", + "\n", + "$MSE_list[[49]][[60]]\n", + "[1] 9.589199\n", + "\n", + "$MSE_list[[49]][[61]]\n", + "[1] 10.30086\n", + "\n", + "$MSE_list[[49]][[62]]\n", + "[1] 6.727011\n", + "\n", + "$MSE_list[[49]][[63]]\n", + "[1] 3.736056\n", + "\n", + "$MSE_list[[49]][[64]]\n", + "[1] 6.662104\n", + "\n", + "$MSE_list[[49]][[65]]\n", + "[1] 4.517568\n", + "\n", + "$MSE_list[[49]][[66]]\n", + "[1] 2.913831\n", + "\n", + "$MSE_list[[49]][[67]]\n", + "[1] 9.656532\n", + "\n", + "$MSE_list[[49]][[68]]\n", + "[1] 5.701161\n", + "\n", + "$MSE_list[[49]][[69]]\n", + "[1] 3.962853\n", + "\n", + "$MSE_list[[49]][[70]]\n", + "[1] 6.352841\n", + "\n", + "$MSE_list[[49]][[71]]\n", + "[1] 4.917791\n", + "\n", + "$MSE_list[[49]][[72]]\n", + "[1] 3.720322\n", + "\n", + "$MSE_list[[49]][[73]]\n", + "[1] 3.937735\n", + "\n", + "$MSE_list[[49]][[74]]\n", + "[1] 3.405395\n", + "\n", + "$MSE_list[[49]][[75]]\n", + "[1] 4.222703\n", + "\n", + "$MSE_list[[49]][[76]]\n", + "[1] 3.284942\n", + "\n", + "$MSE_list[[49]][[77]]\n", + "[1] 5.43675\n", + "\n", + "$MSE_list[[49]][[78]]\n", + "[1] 3.040959\n", + "\n", + "$MSE_list[[49]][[79]]\n", + "[1] 7.089034\n", + "\n", + "$MSE_list[[49]][[80]]\n", + "[1] 2.155598\n", + "\n", + "$MSE_list[[49]][[81]]\n", + "[1] 2.582024\n", + "\n", + "$MSE_list[[49]][[82]]\n", + "[1] 5.936432\n", + "\n", + "$MSE_list[[49]][[83]]\n", + "[1] 2.016455\n", + "\n", + "$MSE_list[[49]][[84]]\n", + "[1] 3.653957\n", + "\n", + "$MSE_list[[49]][[85]]\n", + "[1] 4.071371\n", + "\n", + "$MSE_list[[49]][[86]]\n", + "[1] 4.974198\n", + "\n", + "$MSE_list[[49]][[87]]\n", + "[1] 6.402936\n", + "\n", + "$MSE_list[[49]][[88]]\n", + "[1] 1.366296\n", + "\n", + "$MSE_list[[49]][[89]]\n", + "[1] 9.956744\n", + "\n", + "$MSE_list[[49]][[90]]\n", + "[1] 3.990273\n", + "\n", + "$MSE_list[[49]][[91]]\n", + "[1] 8.047322\n", + "\n", + "$MSE_list[[49]][[92]]\n", + "[1] 5.977619\n", + "\n", + "$MSE_list[[49]][[93]]\n", + "[1] 8.94528\n", + "\n", + "$MSE_list[[49]][[94]]\n", + "[1] 9.201282\n", + "\n", + "$MSE_list[[49]][[95]]\n", + "[1] 2.078424\n", + "\n", + "$MSE_list[[49]][[96]]\n", + "[1] 2.314666\n", + "\n", + "$MSE_list[[49]][[97]]\n", + "[1] 3.403514\n", + "\n", + "$MSE_list[[49]][[98]]\n", + "[1] 2.532663\n", + "\n", + "$MSE_list[[49]][[99]]\n", + "[1] 6.536229\n", + "\n", + "$MSE_list[[49]][[100]]\n", + "[1] 6.624036\n", + "\n", + "\n", + "$MSE_list[[50]]\n", + "$MSE_list[[50]][[1]]\n", + "[1] 3.763171\n", + "\n", + "$MSE_list[[50]][[2]]\n", + "[1] 7.183179\n", + "\n", + "$MSE_list[[50]][[3]]\n", + "[1] 4.495649\n", + "\n", + "$MSE_list[[50]][[4]]\n", + "[1] 4.776712\n", + "\n", + "$MSE_list[[50]][[5]]\n", + "[1] 8.015104\n", + "\n", + "$MSE_list[[50]][[6]]\n", + "[1] 6.599278\n", + "\n", + "$MSE_list[[50]][[7]]\n", + "[1] 8.281168\n", + "\n", + "$MSE_list[[50]][[8]]\n", + "[1] 8.053474\n", + "\n", + "$MSE_list[[50]][[9]]\n", + "[1] 10.08326\n", + "\n", + "$MSE_list[[50]][[10]]\n", + "[1] 9.981998\n", + "\n", + "$MSE_list[[50]][[11]]\n", + "[1] 6.273506\n", + "\n", + "$MSE_list[[50]][[12]]\n", + "[1] 5.020907\n", + "\n", + "$MSE_list[[50]][[13]]\n", + "[1] 3.802116\n", + "\n", + "$MSE_list[[50]][[14]]\n", + "[1] 3.792124\n", + "\n", + "$MSE_list[[50]][[15]]\n", + "[1] 2.030502\n", + "\n", + "$MSE_list[[50]][[16]]\n", + "[1] 6.715291\n", + "\n", + "$MSE_list[[50]][[17]]\n", + "[1] 4.903892\n", + "\n", + "$MSE_list[[50]][[18]]\n", + "[1] 7.937345\n", + "\n", + "$MSE_list[[50]][[19]]\n", + "[1] 7.244557\n", + "\n", + "$MSE_list[[50]][[20]]\n", + "[1] 12.41308\n", + "\n", + "$MSE_list[[50]][[21]]\n", + "[1] 2.477931\n", + "\n", + "$MSE_list[[50]][[22]]\n", + "[1] 2.424967\n", + "\n", + "$MSE_list[[50]][[23]]\n", + "[1] 7.169544\n", + "\n", + "$MSE_list[[50]][[24]]\n", + "[1] 11.65205\n", + "\n", + "$MSE_list[[50]][[25]]\n", + "[1] 4.023686\n", + "\n", + "$MSE_list[[50]][[26]]\n", + "[1] 4.015431\n", + "\n", + "$MSE_list[[50]][[27]]\n", + "[1] 5.858594\n", + "\n", + "$MSE_list[[50]][[28]]\n", + "[1] 10.06842\n", + "\n", + "$MSE_list[[50]][[29]]\n", + "[1] 4.897046\n", + "\n", + "$MSE_list[[50]][[30]]\n", + "[1] 10.0209\n", + "\n", + "$MSE_list[[50]][[31]]\n", + "[1] 2.615637\n", + "\n", + "$MSE_list[[50]][[32]]\n", + "[1] 5.505374\n", + "\n", + "$MSE_list[[50]][[33]]\n", + "[1] 9.842648\n", + "\n", + "$MSE_list[[50]][[34]]\n", + "[1] 4.491767\n", + "\n", + "$MSE_list[[50]][[35]]\n", + "[1] 4.050183\n", + "\n", + "$MSE_list[[50]][[36]]\n", + "[1] 1.521532\n", + "\n", + "$MSE_list[[50]][[37]]\n", + "[1] 6.336076\n", + "\n", + "$MSE_list[[50]][[38]]\n", + "[1] 5.994805\n", + "\n", + "$MSE_list[[50]][[39]]\n", + "[1] 1.800741\n", + "\n", + "$MSE_list[[50]][[40]]\n", + "[1] 5.253737\n", + "\n", + "$MSE_list[[50]][[41]]\n", + "[1] 7.028029\n", + "\n", + "$MSE_list[[50]][[42]]\n", + "[1] 13.52039\n", + "\n", + "$MSE_list[[50]][[43]]\n", + "[1] 3.392198\n", + "\n", + "$MSE_list[[50]][[44]]\n", + "[1] 3.271161\n", + "\n", + "$MSE_list[[50]][[45]]\n", + "[1] 3.66984\n", + "\n", + "$MSE_list[[50]][[46]]\n", + "[1] 1.657117\n", + "\n", + "$MSE_list[[50]][[47]]\n", + "[1] 10.58215\n", + "\n", + "$MSE_list[[50]][[48]]\n", + "[1] 9.011618\n", + "\n", + "$MSE_list[[50]][[49]]\n", + "[1] 4.907447\n", + "\n", + "$MSE_list[[50]][[50]]\n", + "[1] 10.14135\n", + "\n", + "$MSE_list[[50]][[51]]\n", + "[1] 1.82256\n", + "\n", + "$MSE_list[[50]][[52]]\n", + "[1] 6.211684\n", + "\n", + "$MSE_list[[50]][[53]]\n", + "[1] 3.837109\n", + "\n", + "$MSE_list[[50]][[54]]\n", + "[1] 3.65308\n", + "\n", + "$MSE_list[[50]][[55]]\n", + "[1] 7.894206\n", + "\n", + "$MSE_list[[50]][[56]]\n", + "[1] 5.871551\n", + "\n", + "$MSE_list[[50]][[57]]\n", + "[1] 7.840466\n", + "\n", + "$MSE_list[[50]][[58]]\n", + "[1] 4.591455\n", + "\n", + "$MSE_list[[50]][[59]]\n", + "[1] 3.561479\n", + "\n", + "$MSE_list[[50]][[60]]\n", + "[1] 3.707973\n", + "\n", + "$MSE_list[[50]][[61]]\n", + "[1] 4.688306\n", + "\n", + "$MSE_list[[50]][[62]]\n", + "[1] 0.7252203\n", + "\n", + "$MSE_list[[50]][[63]]\n", + "[1] 9.767488\n", + "\n", + "$MSE_list[[50]][[64]]\n", + "[1] 5.682252\n", + "\n", + "$MSE_list[[50]][[65]]\n", + "[1] 7.69761\n", + "\n", + "$MSE_list[[50]][[66]]\n", + "[1] 6.731742\n", + "\n", + "$MSE_list[[50]][[67]]\n", + "[1] 5.611822\n", + "\n", + "$MSE_list[[50]][[68]]\n", + "[1] 4.749483\n", + "\n", + "$MSE_list[[50]][[69]]\n", + "[1] 5.181681\n", + "\n", + "$MSE_list[[50]][[70]]\n", + "[1] 7.319617\n", + "\n", + "$MSE_list[[50]][[71]]\n", + "[1] 13.1161\n", + "\n", + "$MSE_list[[50]][[72]]\n", + "[1] 6.635295\n", + "\n", + "$MSE_list[[50]][[73]]\n", + "[1] 8.301911\n", + "\n", + "$MSE_list[[50]][[74]]\n", + "[1] 3.652673\n", + "\n", + "$MSE_list[[50]][[75]]\n", + "[1] 3.557618\n", + "\n", + "$MSE_list[[50]][[76]]\n", + "[1] 8.884842\n", + "\n", + "$MSE_list[[50]][[77]]\n", + "[1] 5.939432\n", + "\n", + "$MSE_list[[50]][[78]]\n", + "[1] 4.550092\n", + "\n", + "$MSE_list[[50]][[79]]\n", + "[1] 3.572876\n", + "\n", + "$MSE_list[[50]][[80]]\n", + "[1] 4.840454\n", + "\n", + "$MSE_list[[50]][[81]]\n", + "[1] 8.945972\n", + "\n", + "$MSE_list[[50]][[82]]\n", + "[1] 5.343242\n", + "\n", + "$MSE_list[[50]][[83]]\n", + "[1] 4.704886\n", + "\n", + "$MSE_list[[50]][[84]]\n", + "[1] 5.409035\n", + "\n", + "$MSE_list[[50]][[85]]\n", + "[1] 6.475463\n", + "\n", + "$MSE_list[[50]][[86]]\n", + "[1] 2.515061\n", + "\n", + "$MSE_list[[50]][[87]]\n", + "[1] 7.434126\n", + "\n", + "$MSE_list[[50]][[88]]\n", + "[1] 3.882806\n", + "\n", + "$MSE_list[[50]][[89]]\n", + "[1] 6.135638\n", + "\n", + "$MSE_list[[50]][[90]]\n", + "[1] 6.695325\n", + "\n", + "$MSE_list[[50]][[91]]\n", + "[1] 5.860272\n", + "\n", + "$MSE_list[[50]][[92]]\n", + "[1] 6.196278\n", + "\n", + "$MSE_list[[50]][[93]]\n", + "[1] 5.541961\n", + "\n", + "$MSE_list[[50]][[94]]\n", + "[1] 4.720954\n", + "\n", + "$MSE_list[[50]][[95]]\n", + "[1] 2.598408\n", + "\n", + "$MSE_list[[50]][[96]]\n", + "[1] 1.538781\n", + "\n", + "$MSE_list[[50]][[97]]\n", + "[1] 3.852227\n", + "\n", + "$MSE_list[[50]][[98]]\n", + "[1] 8.643377\n", + "\n", + "$MSE_list[[50]][[99]]\n", + "[1] 6.993552\n", + "\n", + "$MSE_list[[50]][[100]]\n", + "[1] 6.120403\n", + "\n", + "\n", + "$MSE_list[[51]]\n", + "$MSE_list[[51]][[1]]\n", + "[1] 5.194171\n", + "\n", + "$MSE_list[[51]][[2]]\n", + "[1] 2.287136\n", + "\n", + "$MSE_list[[51]][[3]]\n", + "[1] 0.6797748\n", + "\n", + "$MSE_list[[51]][[4]]\n", + "[1] 2.052256\n", + "\n", + "$MSE_list[[51]][[5]]\n", + "[1] 0.7797131\n", + "\n", + "$MSE_list[[51]][[6]]\n", + "[1] 3.088832\n", + "\n", + "$MSE_list[[51]][[7]]\n", + "[1] 3.709076\n", + "\n", + "$MSE_list[[51]][[8]]\n", + "[1] 2.254387\n", + "\n", + "$MSE_list[[51]][[9]]\n", + "[1] 5.972593\n", + "\n", + "$MSE_list[[51]][[10]]\n", + "[1] 1.401309\n", + "\n", + "$MSE_list[[51]][[11]]\n", + "[1] 2.63579\n", + "\n", + "$MSE_list[[51]][[12]]\n", + "[1] 3.675055\n", + "\n", + "$MSE_list[[51]][[13]]\n", + "[1] 5.349711\n", + "\n", + "$MSE_list[[51]][[14]]\n", + "[1] 0.5687563\n", + "\n", + "$MSE_list[[51]][[15]]\n", + "[1] 5.725999\n", + "\n", + "$MSE_list[[51]][[16]]\n", + "[1] 4.822519\n", + "\n", + "$MSE_list[[51]][[17]]\n", + "[1] 2.080596\n", + "\n", + "$MSE_list[[51]][[18]]\n", + "[1] 2.820918\n", + "\n", + "$MSE_list[[51]][[19]]\n", + "[1] 3.74605\n", + "\n", + "$MSE_list[[51]][[20]]\n", + "[1] 1.890096\n", + "\n", + "$MSE_list[[51]][[21]]\n", + "[1] 0.8811629\n", + "\n", + "$MSE_list[[51]][[22]]\n", + "[1] 3.46842\n", + "\n", + "$MSE_list[[51]][[23]]\n", + "[1] 1.410498\n", + "\n", + "$MSE_list[[51]][[24]]\n", + "[1] 5.285902\n", + "\n", + "$MSE_list[[51]][[25]]\n", + "[1] 5.328224\n", + "\n", + "$MSE_list[[51]][[26]]\n", + "[1] 3.286045\n", + "\n", + "$MSE_list[[51]][[27]]\n", + "[1] 0.761776\n", + "\n", + "$MSE_list[[51]][[28]]\n", + "[1] 1.287858\n", + "\n", + "$MSE_list[[51]][[29]]\n", + "[1] 5.586872\n", + "\n", + "$MSE_list[[51]][[30]]\n", + "[1] 3.082011\n", + "\n", + "$MSE_list[[51]][[31]]\n", + "[1] 7.295911\n", + "\n", + "$MSE_list[[51]][[32]]\n", + "[1] 2.403046\n", + "\n", + "$MSE_list[[51]][[33]]\n", + "[1] 0.2902836\n", + "\n", + "$MSE_list[[51]][[34]]\n", + "[1] 1.453415\n", + "\n", + "$MSE_list[[51]][[35]]\n", + "[1] 0.8317809\n", + "\n", + "$MSE_list[[51]][[36]]\n", + "[1] 2.840751\n", + "\n", + "$MSE_list[[51]][[37]]\n", + "[1] 2.246728\n", + "\n", + "$MSE_list[[51]][[38]]\n", + "[1] 4.784368\n", + "\n", + "$MSE_list[[51]][[39]]\n", + "[1] 5.051384\n", + "\n", + "$MSE_list[[51]][[40]]\n", + "[1] 1.637601\n", + "\n", + "$MSE_list[[51]][[41]]\n", + "[1] 5.253889\n", + "\n", + "$MSE_list[[51]][[42]]\n", + "[1] 5.473661\n", + "\n", + "$MSE_list[[51]][[43]]\n", + "[1] 2.470762\n", + "\n", + "$MSE_list[[51]][[44]]\n", + "[1] 6.650388\n", + "\n", + "$MSE_list[[51]][[45]]\n", + "[1] 2.334568\n", + "\n", + "$MSE_list[[51]][[46]]\n", + "[1] 3.022127\n", + "\n", + "$MSE_list[[51]][[47]]\n", + "[1] 1.4522\n", + "\n", + "$MSE_list[[51]][[48]]\n", + "[1] 2.960693\n", + "\n", + "$MSE_list[[51]][[49]]\n", + "[1] 4.101153\n", + "\n", + "$MSE_list[[51]][[50]]\n", + "[1] 2.668376\n", + "\n", + "$MSE_list[[51]][[51]]\n", + "[1] 3.34737\n", + "\n", + "$MSE_list[[51]][[52]]\n", + "[1] 1.191225\n", + "\n", + "$MSE_list[[51]][[53]]\n", + "[1] 2.140441\n", + "\n", + "$MSE_list[[51]][[54]]\n", + "[1] 2.210714\n", + "\n", + "$MSE_list[[51]][[55]]\n", + "[1] 5.309817\n", + "\n", + "$MSE_list[[51]][[56]]\n", + "[1] 1.762381\n", + "\n", + "$MSE_list[[51]][[57]]\n", + "[1] 0.7820656\n", + "\n", + "$MSE_list[[51]][[58]]\n", + "[1] 0.6473803\n", + "\n", + "$MSE_list[[51]][[59]]\n", + "[1] 3.483743\n", + "\n", + "$MSE_list[[51]][[60]]\n", + "[1] 5.693512\n", + "\n", + "$MSE_list[[51]][[61]]\n", + "[1] 3.970692\n", + "\n", + "$MSE_list[[51]][[62]]\n", + "[1] 5.297123\n", + "\n", + "$MSE_list[[51]][[63]]\n", + "[1] 0.8083718\n", + "\n", + "$MSE_list[[51]][[64]]\n", + "[1] 4.551164\n", + "\n", + "$MSE_list[[51]][[65]]\n", + "[1] 0.9872192\n", + "\n", + "$MSE_list[[51]][[66]]\n", + "[1] 3.519734\n", + "\n", + "$MSE_list[[51]][[67]]\n", + "[1] 3.295667\n", + "\n", + "$MSE_list[[51]][[68]]\n", + "[1] 0.564801\n", + "\n", + "$MSE_list[[51]][[69]]\n", + "[1] 2.682387\n", + "\n", + "$MSE_list[[51]][[70]]\n", + "[1] 5.547823\n", + "\n", + "$MSE_list[[51]][[71]]\n", + "[1] 3.876236\n", + "\n", + "$MSE_list[[51]][[72]]\n", + "[1] 6.269163\n", + "\n", + "$MSE_list[[51]][[73]]\n", + "[1] 4.250224\n", + "\n", + "$MSE_list[[51]][[74]]\n", + "[1] 3.067226\n", + "\n", + "$MSE_list[[51]][[75]]\n", + "[1] 3.376632\n", + "\n", + "$MSE_list[[51]][[76]]\n", + "[1] 3.943743\n", + "\n", + "$MSE_list[[51]][[77]]\n", + "[1] 2.30992\n", + "\n", + "$MSE_list[[51]][[78]]\n", + "[1] 5.125458\n", + "\n", + "$MSE_list[[51]][[79]]\n", + "[1] 3.266397\n", + "\n", + "$MSE_list[[51]][[80]]\n", + "[1] 0.7486306\n", + "\n", + "$MSE_list[[51]][[81]]\n", + "[1] 4.670585\n", + "\n", + "$MSE_list[[51]][[82]]\n", + "[1] 5.477129\n", + "\n", + "$MSE_list[[51]][[83]]\n", + "[1] 1.294893\n", + "\n", + "$MSE_list[[51]][[84]]\n", + "[1] 4.421704\n", + "\n", + "$MSE_list[[51]][[85]]\n", + "[1] 5.046391\n", + "\n", + "$MSE_list[[51]][[86]]\n", + "[1] 4.166609\n", + "\n", + "$MSE_list[[51]][[87]]\n", + "[1] 3.319127\n", + "\n", + "$MSE_list[[51]][[88]]\n", + "[1] 1.987966\n", + "\n", + "$MSE_list[[51]][[89]]\n", + "[1] 3.914891\n", + "\n", + "$MSE_list[[51]][[90]]\n", + "[1] 4.072647\n", + "\n", + "$MSE_list[[51]][[91]]\n", + "[1] 5.768572\n", + "\n", + "$MSE_list[[51]][[92]]\n", + "[1] 0.7699501\n", + "\n", + "$MSE_list[[51]][[93]]\n", + "[1] 1.754575\n", + "\n", + "$MSE_list[[51]][[94]]\n", + "[1] 1.712168\n", + "\n", + "$MSE_list[[51]][[95]]\n", + "[1] 3.210658\n", + "\n", + "$MSE_list[[51]][[96]]\n", + "[1] 2.871695\n", + "\n", + "$MSE_list[[51]][[97]]\n", + "[1] 6.513059\n", + "\n", + "$MSE_list[[51]][[98]]\n", + "[1] 1.514627\n", + "\n", + "$MSE_list[[51]][[99]]\n", + "[1] 3.256733\n", + "\n", + "$MSE_list[[51]][[100]]\n", + "[1] 4.110449\n", + "\n", + "\n", + "$MSE_list[[52]]\n", + "$MSE_list[[52]][[1]]\n", + "[1] 3.024881\n", + "\n", + "$MSE_list[[52]][[2]]\n", + "[1] 3.731595\n", + "\n", + "$MSE_list[[52]][[3]]\n", + "[1] 2.804934\n", + "\n", + "$MSE_list[[52]][[4]]\n", + "[1] 8.185254\n", + "\n", + "$MSE_list[[52]][[5]]\n", + "[1] 5.017981\n", + "\n", + "$MSE_list[[52]][[6]]\n", + "[1] 2.10768\n", + "\n", + "$MSE_list[[52]][[7]]\n", + "[1] 1.742376\n", + "\n", + "$MSE_list[[52]][[8]]\n", + "[1] 5.947749\n", + "\n", + "$MSE_list[[52]][[9]]\n", + "[1] 1.621455\n", + "\n", + "$MSE_list[[52]][[10]]\n", + "[1] 4.296228\n", + "\n", + "$MSE_list[[52]][[11]]\n", + "[1] 1.563134\n", + "\n", + "$MSE_list[[52]][[12]]\n", + "[1] 3.581183\n", + "\n", + "$MSE_list[[52]][[13]]\n", + "[1] 3.771129\n", + "\n", + "$MSE_list[[52]][[14]]\n", + "[1] 4.120173\n", + "\n", + "$MSE_list[[52]][[15]]\n", + "[1] 2.834455\n", + "\n", + "$MSE_list[[52]][[16]]\n", + "[1] 4.213529\n", + "\n", + "$MSE_list[[52]][[17]]\n", + "[1] 4.606802\n", + "\n", + "$MSE_list[[52]][[18]]\n", + "[1] 3.979763\n", + "\n", + "$MSE_list[[52]][[19]]\n", + "[1] 9.116221\n", + "\n", + "$MSE_list[[52]][[20]]\n", + "[1] 6.40836\n", + "\n", + "$MSE_list[[52]][[21]]\n", + "[1] 0.86703\n", + "\n", + "$MSE_list[[52]][[22]]\n", + "[1] 7.113502\n", + "\n", + "$MSE_list[[52]][[23]]\n", + "[1] 2.083805\n", + "\n", + "$MSE_list[[52]][[24]]\n", + "[1] 2.984579\n", + "\n", + "$MSE_list[[52]][[25]]\n", + "[1] 4.258932\n", + "\n", + "$MSE_list[[52]][[26]]\n", + "[1] 2.221903\n", + "\n", + "$MSE_list[[52]][[27]]\n", + "[1] 2.203207\n", + "\n", + "$MSE_list[[52]][[28]]\n", + "[1] 5.239657\n", + "\n", + "$MSE_list[[52]][[29]]\n", + "[1] 8.308561\n", + "\n", + "$MSE_list[[52]][[30]]\n", + "[1] 3.219758\n", + "\n", + "$MSE_list[[52]][[31]]\n", + "[1] 5.264989\n", + "\n", + "$MSE_list[[52]][[32]]\n", + "[1] 8.304979\n", + "\n", + "$MSE_list[[52]][[33]]\n", + "[1] 5.689684\n", + "\n", + "$MSE_list[[52]][[34]]\n", + "[1] 4.490668\n", + "\n", + "$MSE_list[[52]][[35]]\n", + "[1] 1.269987\n", + "\n", + "$MSE_list[[52]][[36]]\n", + "[1] 2.747558\n", + "\n", + "$MSE_list[[52]][[37]]\n", + "[1] 2.595293\n", + "\n", + "$MSE_list[[52]][[38]]\n", + "[1] 1.339762\n", + "\n", + "$MSE_list[[52]][[39]]\n", + "[1] 6.36664\n", + "\n", + "$MSE_list[[52]][[40]]\n", + "[1] 1.461194\n", + "\n", + "$MSE_list[[52]][[41]]\n", + "[1] 6.627417\n", + "\n", + "$MSE_list[[52]][[42]]\n", + "[1] 3.549229\n", + "\n", + "$MSE_list[[52]][[43]]\n", + "[1] 5.346127\n", + "\n", + "$MSE_list[[52]][[44]]\n", + "[1] 4.186598\n", + "\n", + "$MSE_list[[52]][[45]]\n", + "[1] 4.984918\n", + "\n", + "$MSE_list[[52]][[46]]\n", + "[1] 7.279365\n", + "\n", + "$MSE_list[[52]][[47]]\n", + "[1] 10.00508\n", + "\n", + "$MSE_list[[52]][[48]]\n", + "[1] 4.433987\n", + "\n", + "$MSE_list[[52]][[49]]\n", + "[1] 4.361648\n", + "\n", + "$MSE_list[[52]][[50]]\n", + "[1] 6.353356\n", + "\n", + "$MSE_list[[52]][[51]]\n", + "[1] 2.782941\n", + "\n", + "$MSE_list[[52]][[52]]\n", + "[1] 1.180382\n", + "\n", + "$MSE_list[[52]][[53]]\n", + "[1] 3.865034\n", + "\n", + "$MSE_list[[52]][[54]]\n", + "[1] 8.32858\n", + "\n", + "$MSE_list[[52]][[55]]\n", + "[1] 0.91036\n", + "\n", + "$MSE_list[[52]][[56]]\n", + "[1] 6.942739\n", + "\n", + "$MSE_list[[52]][[57]]\n", + "[1] 5.654324\n", + "\n", + "$MSE_list[[52]][[58]]\n", + "[1] 7.695709\n", + "\n", + "$MSE_list[[52]][[59]]\n", + "[1] 6.594968\n", + "\n", + "$MSE_list[[52]][[60]]\n", + "[1] 6.591188\n", + "\n", + "$MSE_list[[52]][[61]]\n", + "[1] 2.096289\n", + "\n", + "$MSE_list[[52]][[62]]\n", + "[1] 7.982388\n", + "\n", + "$MSE_list[[52]][[63]]\n", + "[1] 5.59949\n", + "\n", + "$MSE_list[[52]][[64]]\n", + "[1] 2.165996\n", + "\n", + "$MSE_list[[52]][[65]]\n", + "[1] 7.967863\n", + "\n", + "$MSE_list[[52]][[66]]\n", + "[1] 4.967375\n", + "\n", + "$MSE_list[[52]][[67]]\n", + "[1] 6.131698\n", + "\n", + "$MSE_list[[52]][[68]]\n", + "[1] 4.591904\n", + "\n", + "$MSE_list[[52]][[69]]\n", + "[1] 3.103469\n", + "\n", + "$MSE_list[[52]][[70]]\n", + "[1] 2.255234\n", + "\n", + "$MSE_list[[52]][[71]]\n", + "[1] 1.112268\n", + "\n", + "$MSE_list[[52]][[72]]\n", + "[1] 2.413889\n", + "\n", + "$MSE_list[[52]][[73]]\n", + "[1] 4.334425\n", + "\n", + "$MSE_list[[52]][[74]]\n", + "[1] 4.308175\n", + "\n", + "$MSE_list[[52]][[75]]\n", + "[1] 6.531058\n", + "\n", + "$MSE_list[[52]][[76]]\n", + "[1] 2.396125\n", + "\n", + "$MSE_list[[52]][[77]]\n", + "[1] 6.329061\n", + "\n", + "$MSE_list[[52]][[78]]\n", + "[1] 2.040688\n", + "\n", + "$MSE_list[[52]][[79]]\n", + "[1] 5.999731\n", + "\n", + "$MSE_list[[52]][[80]]\n", + "[1] 6.112393\n", + "\n", + "$MSE_list[[52]][[81]]\n", + "[1] 1.544279\n", + "\n", + "$MSE_list[[52]][[82]]\n", + "[1] 7.739554\n", + "\n", + "$MSE_list[[52]][[83]]\n", + "[1] 4.366061\n", + "\n", + "$MSE_list[[52]][[84]]\n", + "[1] 1.094778\n", + "\n", + "$MSE_list[[52]][[85]]\n", + "[1] 8.020211\n", + "\n", + "$MSE_list[[52]][[86]]\n", + "[1] 5.878405\n", + "\n", + "$MSE_list[[52]][[87]]\n", + "[1] 3.506348\n", + "\n", + "$MSE_list[[52]][[88]]\n", + "[1] 6.908954\n", + "\n", + "$MSE_list[[52]][[89]]\n", + "[1] 1.567407\n", + "\n", + "$MSE_list[[52]][[90]]\n", + "[1] 7.055205\n", + "\n", + "$MSE_list[[52]][[91]]\n", + "[1] 2.216602\n", + "\n", + "$MSE_list[[52]][[92]]\n", + "[1] 5.933068\n", + "\n", + "$MSE_list[[52]][[93]]\n", + "[1] 6.497574\n", + "\n", + "$MSE_list[[52]][[94]]\n", + "[1] 5.675751\n", + "\n", + "$MSE_list[[52]][[95]]\n", + "[1] 3.261859\n", + "\n", + "$MSE_list[[52]][[96]]\n", + "[1] 2.156035\n", + "\n", + "$MSE_list[[52]][[97]]\n", + "[1] 3.593863\n", + "\n", + "$MSE_list[[52]][[98]]\n", + "[1] 6.685512\n", + "\n", + "$MSE_list[[52]][[99]]\n", + "[1] 1.196222\n", + "\n", + "$MSE_list[[52]][[100]]\n", + "[1] 4.202124\n", + "\n", + "\n", + "$MSE_list[[53]]\n", + "$MSE_list[[53]][[1]]\n", + "[1] 1.42811\n", + "\n", + "$MSE_list[[53]][[2]]\n", + "[1] 7.693361\n", + "\n", + "$MSE_list[[53]][[3]]\n", + "[1] 2.159665\n", + "\n", + "$MSE_list[[53]][[4]]\n", + "[1] 3.496349\n", + "\n", + "$MSE_list[[53]][[5]]\n", + "[1] 2.437417\n", + "\n", + "$MSE_list[[53]][[6]]\n", + "[1] 4.834329\n", + "\n", + "$MSE_list[[53]][[7]]\n", + "[1] 2.382122\n", + "\n", + "$MSE_list[[53]][[8]]\n", + "[1] 4.158303\n", + "\n", + "$MSE_list[[53]][[9]]\n", + "[1] 4.457184\n", + "\n", + "$MSE_list[[53]][[10]]\n", + "[1] 1.992955\n", + "\n", + "$MSE_list[[53]][[11]]\n", + "[1] 3.763812\n", + "\n", + "$MSE_list[[53]][[12]]\n", + "[1] 2.873134\n", + "\n", + "$MSE_list[[53]][[13]]\n", + "[1] 2.937727\n", + "\n", + "$MSE_list[[53]][[14]]\n", + "[1] 3.441707\n", + "\n", + "$MSE_list[[53]][[15]]\n", + "[1] 1.257614\n", + "\n", + "$MSE_list[[53]][[16]]\n", + "[1] 2.369605\n", + "\n", + "$MSE_list[[53]][[17]]\n", + "[1] 2.939149\n", + "\n", + "$MSE_list[[53]][[18]]\n", + "[1] 0.9187123\n", + "\n", + "$MSE_list[[53]][[19]]\n", + "[1] 4.527108\n", + "\n", + "$MSE_list[[53]][[20]]\n", + "[1] 0.6675033\n", + "\n", + "$MSE_list[[53]][[21]]\n", + "[1] 2.248976\n", + "\n", + "$MSE_list[[53]][[22]]\n", + "[1] 0.7499324\n", + "\n", + "$MSE_list[[53]][[23]]\n", + "[1] 2.118551\n", + "\n", + "$MSE_list[[53]][[24]]\n", + "[1] 2.589138\n", + "\n", + "$MSE_list[[53]][[25]]\n", + "[1] 2.647776\n", + "\n", + "$MSE_list[[53]][[26]]\n", + "[1] 5.618935\n", + "\n", + "$MSE_list[[53]][[27]]\n", + "[1] 3.610701\n", + "\n", + "$MSE_list[[53]][[28]]\n", + "[1] 2.273473\n", + "\n", + "$MSE_list[[53]][[29]]\n", + "[1] 2.442626\n", + "\n", + "$MSE_list[[53]][[30]]\n", + "[1] 0.4656809\n", + "\n", + "$MSE_list[[53]][[31]]\n", + "[1] 5.74591\n", + "\n", + "$MSE_list[[53]][[32]]\n", + "[1] 2.805642\n", + "\n", + "$MSE_list[[53]][[33]]\n", + "[1] 1.330454\n", + "\n", + "$MSE_list[[53]][[34]]\n", + "[1] 0.8579471\n", + "\n", + "$MSE_list[[53]][[35]]\n", + "[1] 8.654321\n", + "\n", + "$MSE_list[[53]][[36]]\n", + "[1] 3.024947\n", + "\n", + "$MSE_list[[53]][[37]]\n", + "[1] 1.513376\n", + "\n", + "$MSE_list[[53]][[38]]\n", + "[1] 4.396798\n", + "\n", + "$MSE_list[[53]][[39]]\n", + "[1] 3.970593\n", + "\n", + "$MSE_list[[53]][[40]]\n", + "[1] 3.075231\n", + "\n", + "$MSE_list[[53]][[41]]\n", + "[1] 6.231804\n", + "\n", + "$MSE_list[[53]][[42]]\n", + "[1] 2.383193\n", + "\n", + "$MSE_list[[53]][[43]]\n", + "[1] 2.904079\n", + "\n", + "$MSE_list[[53]][[44]]\n", + "[1] 7.0031\n", + "\n", + "$MSE_list[[53]][[45]]\n", + "[1] 6.077754\n", + "\n", + "$MSE_list[[53]][[46]]\n", + "[1] 7.525854\n", + "\n", + "$MSE_list[[53]][[47]]\n", + "[1] 5.221643\n", + "\n", + "$MSE_list[[53]][[48]]\n", + "[1] 4.409088\n", + "\n", + "$MSE_list[[53]][[49]]\n", + "[1] 4.990927\n", + "\n", + "$MSE_list[[53]][[50]]\n", + "[1] 1.471738\n", + "\n", + "$MSE_list[[53]][[51]]\n", + "[1] 5.671439\n", + "\n", + "$MSE_list[[53]][[52]]\n", + "[1] 2.003581\n", + "\n", + "$MSE_list[[53]][[53]]\n", + "[1] 4.094745\n", + "\n", + "$MSE_list[[53]][[54]]\n", + "[1] 2.482829\n", + "\n", + "$MSE_list[[53]][[55]]\n", + "[1] 1.211488\n", + "\n", + "$MSE_list[[53]][[56]]\n", + "[1] 1.19792\n", + "\n", + "$MSE_list[[53]][[57]]\n", + "[1] 0.8425875\n", + "\n", + "$MSE_list[[53]][[58]]\n", + "[1] 1.338689\n", + "\n", + "$MSE_list[[53]][[59]]\n", + "[1] 3.300767\n", + "\n", + "$MSE_list[[53]][[60]]\n", + "[1] 5.132717\n", + "\n", + "$MSE_list[[53]][[61]]\n", + "[1] 0.8436236\n", + "\n", + "$MSE_list[[53]][[62]]\n", + "[1] 3.831713\n", + "\n", + "$MSE_list[[53]][[63]]\n", + "[1] 1.399233\n", + "\n", + "$MSE_list[[53]][[64]]\n", + "[1] 4.23522\n", + "\n", + "$MSE_list[[53]][[65]]\n", + "[1] 3.25598\n", + "\n", + "$MSE_list[[53]][[66]]\n", + "[1] 5.403003\n", + "\n", + "$MSE_list[[53]][[67]]\n", + "[1] 5.009454\n", + "\n", + "$MSE_list[[53]][[68]]\n", + "[1] 1.307088\n", + "\n", + "$MSE_list[[53]][[69]]\n", + "[1] 2.907865\n", + "\n", + "$MSE_list[[53]][[70]]\n", + "[1] 4.792625\n", + "\n", + "$MSE_list[[53]][[71]]\n", + "[1] 1.735234\n", + "\n", + "$MSE_list[[53]][[72]]\n", + "[1] 3.69206\n", + "\n", + "$MSE_list[[53]][[73]]\n", + "[1] 2.414288\n", + "\n", + "$MSE_list[[53]][[74]]\n", + "[1] 3.446381\n", + "\n", + "$MSE_list[[53]][[75]]\n", + "[1] 1.254628\n", + "\n", + "$MSE_list[[53]][[76]]\n", + "[1] 2.81741\n", + "\n", + "$MSE_list[[53]][[77]]\n", + "[1] 2.122833\n", + "\n", + "$MSE_list[[53]][[78]]\n", + "[1] 5.906268\n", + "\n", + "$MSE_list[[53]][[79]]\n", + "[1] 4.198248\n", + "\n", + "$MSE_list[[53]][[80]]\n", + "[1] 5.227495\n", + "\n", + "$MSE_list[[53]][[81]]\n", + "[1] 4.454314\n", + "\n", + "$MSE_list[[53]][[82]]\n", + "[1] 6.335962\n", + "\n", + "$MSE_list[[53]][[83]]\n", + "[1] 8.648539\n", + "\n", + "$MSE_list[[53]][[84]]\n", + "[1] 6.405765\n", + "\n", + "$MSE_list[[53]][[85]]\n", + "[1] 5.502277\n", + "\n", + "$MSE_list[[53]][[86]]\n", + "[1] 2.246914\n", + "\n", + "$MSE_list[[53]][[87]]\n", + "[1] 1.900831\n", + "\n", + "$MSE_list[[53]][[88]]\n", + "[1] 2.491244\n", + "\n", + "$MSE_list[[53]][[89]]\n", + "[1] 2.889653\n", + "\n", + "$MSE_list[[53]][[90]]\n", + "[1] 2.33815\n", + "\n", + "$MSE_list[[53]][[91]]\n", + "[1] 1.956135\n", + "\n", + "$MSE_list[[53]][[92]]\n", + "[1] 2.945088\n", + "\n", + "$MSE_list[[53]][[93]]\n", + "[1] 3.100931\n", + "\n", + "$MSE_list[[53]][[94]]\n", + "[1] 6.553351\n", + "\n", + "$MSE_list[[53]][[95]]\n", + "[1] 2.217512\n", + "\n", + "$MSE_list[[53]][[96]]\n", + "[1] 1.154785\n", + "\n", + "$MSE_list[[53]][[97]]\n", + "[1] 6.240103\n", + "\n", + "$MSE_list[[53]][[98]]\n", + "[1] 4.067806\n", + "\n", + "$MSE_list[[53]][[99]]\n", + "[1] 0.9972898\n", + "\n", + "$MSE_list[[53]][[100]]\n", + "[1] 5.51568\n", + "\n", + "\n", + "$MSE_list[[54]]\n", + "$MSE_list[[54]][[1]]\n", + "[1] 1.178494\n", + "\n", + "$MSE_list[[54]][[2]]\n", + "[1] 1.423118\n", + "\n", + "$MSE_list[[54]][[3]]\n", + "[1] 4.291395\n", + "\n", + "$MSE_list[[54]][[4]]\n", + "[1] 5.431614\n", + "\n", + "$MSE_list[[54]][[5]]\n", + "[1] 2.144084\n", + "\n", + "$MSE_list[[54]][[6]]\n", + "[1] 3.631294\n", + "\n", + "$MSE_list[[54]][[7]]\n", + "[1] 4.55322\n", + "\n", + "$MSE_list[[54]][[8]]\n", + "[1] 2.10759\n", + "\n", + "$MSE_list[[54]][[9]]\n", + "[1] 3.237256\n", + "\n", + "$MSE_list[[54]][[10]]\n", + "[1] 5.615924\n", + "\n", + "$MSE_list[[54]][[11]]\n", + "[1] 2.354628\n", + "\n", + "$MSE_list[[54]][[12]]\n", + "[1] 3.215343\n", + "\n", + "$MSE_list[[54]][[13]]\n", + "[1] 2.799533\n", + "\n", + "$MSE_list[[54]][[14]]\n", + "[1] 3.476634\n", + "\n", + "$MSE_list[[54]][[15]]\n", + "[1] 3.863246\n", + "\n", + "$MSE_list[[54]][[16]]\n", + "[1] 5.111196\n", + "\n", + "$MSE_list[[54]][[17]]\n", + "[1] 2.518152\n", + "\n", + "$MSE_list[[54]][[18]]\n", + "[1] 2.347477\n", + "\n", + "$MSE_list[[54]][[19]]\n", + "[1] 7.619386\n", + "\n", + "$MSE_list[[54]][[20]]\n", + "[1] 2.525189\n", + "\n", + "$MSE_list[[54]][[21]]\n", + "[1] 4.672771\n", + "\n", + "$MSE_list[[54]][[22]]\n", + "[1] 2.326381\n", + "\n", + "$MSE_list[[54]][[23]]\n", + "[1] 8.374391\n", + "\n", + "$MSE_list[[54]][[24]]\n", + "[1] 2.802654\n", + "\n", + "$MSE_list[[54]][[25]]\n", + "[1] 2.073984\n", + "\n", + "$MSE_list[[54]][[26]]\n", + "[1] 4.819545\n", + "\n", + "$MSE_list[[54]][[27]]\n", + "[1] 1.280018\n", + "\n", + "$MSE_list[[54]][[28]]\n", + "[1] 4.93939\n", + "\n", + "$MSE_list[[54]][[29]]\n", + "[1] 6.161182\n", + "\n", + "$MSE_list[[54]][[30]]\n", + "[1] 7.426371\n", + "\n", + "$MSE_list[[54]][[31]]\n", + "[1] 3.184848\n", + "\n", + "$MSE_list[[54]][[32]]\n", + "[1] 2.451559\n", + "\n", + "$MSE_list[[54]][[33]]\n", + "[1] 4.063922\n", + "\n", + "$MSE_list[[54]][[34]]\n", + "[1] 5.714854\n", + "\n", + "$MSE_list[[54]][[35]]\n", + "[1] 2.468468\n", + "\n", + "$MSE_list[[54]][[36]]\n", + "[1] 1.804022\n", + "\n", + "$MSE_list[[54]][[37]]\n", + "[1] 5.518616\n", + "\n", + "$MSE_list[[54]][[38]]\n", + "[1] 1.131849\n", + "\n", + "$MSE_list[[54]][[39]]\n", + "[1] 7.52752\n", + "\n", + "$MSE_list[[54]][[40]]\n", + "[1] 3.133534\n", + "\n", + "$MSE_list[[54]][[41]]\n", + "[1] 5.574365\n", + "\n", + "$MSE_list[[54]][[42]]\n", + "[1] 4.549225\n", + "\n", + "$MSE_list[[54]][[43]]\n", + "[1] 8.114935\n", + "\n", + "$MSE_list[[54]][[44]]\n", + "[1] 4.533499\n", + "\n", + "$MSE_list[[54]][[45]]\n", + "[1] 7.559221\n", + "\n", + "$MSE_list[[54]][[46]]\n", + "[1] 2.650579\n", + "\n", + "$MSE_list[[54]][[47]]\n", + "[1] 3.159363\n", + "\n", + "$MSE_list[[54]][[48]]\n", + "[1] 4.819253\n", + "\n", + "$MSE_list[[54]][[49]]\n", + "[1] 1.958311\n", + "\n", + "$MSE_list[[54]][[50]]\n", + "[1] 2.545814\n", + "\n", + "$MSE_list[[54]][[51]]\n", + "[1] 1.545739\n", + "\n", + "$MSE_list[[54]][[52]]\n", + "[1] 3.698763\n", + "\n", + "$MSE_list[[54]][[53]]\n", + "[1] 2.728869\n", + "\n", + "$MSE_list[[54]][[54]]\n", + "[1] 2.433967\n", + "\n", + "$MSE_list[[54]][[55]]\n", + "[1] 4.86854\n", + "\n", + "$MSE_list[[54]][[56]]\n", + "[1] 4.798098\n", + "\n", + "$MSE_list[[54]][[57]]\n", + "[1] 3.774729\n", + "\n", + "$MSE_list[[54]][[58]]\n", + "[1] 4.333419\n", + "\n", + "$MSE_list[[54]][[59]]\n", + "[1] 4.839352\n", + "\n", + "$MSE_list[[54]][[60]]\n", + "[1] 2.693449\n", + "\n", + "$MSE_list[[54]][[61]]\n", + "[1] 2.283917\n", + "\n", + "$MSE_list[[54]][[62]]\n", + "[1] 1.161184\n", + "\n", + "$MSE_list[[54]][[63]]\n", + "[1] 8.70051\n", + "\n", + "$MSE_list[[54]][[64]]\n", + "[1] 2.52927\n", + "\n", + "$MSE_list[[54]][[65]]\n", + "[1] 3.974563\n", + "\n", + "$MSE_list[[54]][[66]]\n", + "[1] 1.434299\n", + "\n", + "$MSE_list[[54]][[67]]\n", + "[1] 6.568715\n", + "\n", + "$MSE_list[[54]][[68]]\n", + "[1] 1.787947\n", + "\n", + "$MSE_list[[54]][[69]]\n", + "[1] 4.288743\n", + "\n", + "$MSE_list[[54]][[70]]\n", + "[1] 3.211899\n", + "\n", + "$MSE_list[[54]][[71]]\n", + "[1] 3.820871\n", + "\n", + "$MSE_list[[54]][[72]]\n", + "[1] 2.271519\n", + "\n", + "$MSE_list[[54]][[73]]\n", + "[1] 7.666868\n", + "\n", + "$MSE_list[[54]][[74]]\n", + "[1] 1.800741\n", + "\n", + "$MSE_list[[54]][[75]]\n", + "[1] 1.169658\n", + "\n", + "$MSE_list[[54]][[76]]\n", + "[1] 2.845473\n", + "\n", + "$MSE_list[[54]][[77]]\n", + "[1] 2.521417\n", + "\n", + "$MSE_list[[54]][[78]]\n", + "[1] 4.511619\n", + "\n", + "$MSE_list[[54]][[79]]\n", + "[1] 4.537484\n", + "\n", + "$MSE_list[[54]][[80]]\n", + "[1] 5.881589\n", + "\n", + "$MSE_list[[54]][[81]]\n", + "[1] 4.819763\n", + "\n", + "$MSE_list[[54]][[82]]\n", + "[1] 5.961816\n", + "\n", + "$MSE_list[[54]][[83]]\n", + "[1] 5.774544\n", + "\n", + "$MSE_list[[54]][[84]]\n", + "[1] 3.65944\n", + "\n", + "$MSE_list[[54]][[85]]\n", + "[1] 2.596824\n", + "\n", + "$MSE_list[[54]][[86]]\n", + "[1] 0.9254063\n", + "\n", + "$MSE_list[[54]][[87]]\n", + "[1] 4.668488\n", + "\n", + "$MSE_list[[54]][[88]]\n", + "[1] 2.358095\n", + "\n", + "$MSE_list[[54]][[89]]\n", + "[1] 7.521625\n", + "\n", + "$MSE_list[[54]][[90]]\n", + "[1] 3.687287\n", + "\n", + "$MSE_list[[54]][[91]]\n", + "[1] 2.962904\n", + "\n", + "$MSE_list[[54]][[92]]\n", + "[1] 3.23735\n", + "\n", + "$MSE_list[[54]][[93]]\n", + "[1] 11.14305\n", + "\n", + "$MSE_list[[54]][[94]]\n", + "[1] 2.16345\n", + "\n", + "$MSE_list[[54]][[95]]\n", + "[1] 4.823116\n", + "\n", + "$MSE_list[[54]][[96]]\n", + "[1] 4.021505\n", + "\n", + "$MSE_list[[54]][[97]]\n", + "[1] 1.0435\n", + "\n", + "$MSE_list[[54]][[98]]\n", + "[1] 2.207962\n", + "\n", + "$MSE_list[[54]][[99]]\n", + "[1] 8.747529\n", + "\n", + "$MSE_list[[54]][[100]]\n", + "[1] 4.00927\n", + "\n", + "\n", + "$MSE_list[[55]]\n", + "$MSE_list[[55]][[1]]\n", + "[1] 1.389519\n", + "\n", + "$MSE_list[[55]][[2]]\n", + "[1] 5.680068\n", + "\n", + "$MSE_list[[55]][[3]]\n", + "[1] 1.295642\n", + "\n", + "$MSE_list[[55]][[4]]\n", + "[1] 1.547709\n", + "\n", + "$MSE_list[[55]][[5]]\n", + "[1] 3.138733\n", + "\n", + "$MSE_list[[55]][[6]]\n", + "[1] 3.006571\n", + "\n", + "$MSE_list[[55]][[7]]\n", + "[1] 3.029772\n", + "\n", + "$MSE_list[[55]][[8]]\n", + "[1] 1.85065\n", + "\n", + "$MSE_list[[55]][[9]]\n", + "[1] 1.190413\n", + "\n", + "$MSE_list[[55]][[10]]\n", + "[1] 6.381312\n", + "\n", + "$MSE_list[[55]][[11]]\n", + "[1] 6.455729\n", + "\n", + "$MSE_list[[55]][[12]]\n", + "[1] 4.421896\n", + "\n", + "$MSE_list[[55]][[13]]\n", + "[1] 2.462569\n", + "\n", + "$MSE_list[[55]][[14]]\n", + "[1] 3.196235\n", + "\n", + "$MSE_list[[55]][[15]]\n", + "[1] 4.5625\n", + "\n", + "$MSE_list[[55]][[16]]\n", + "[1] 4.506034\n", + "\n", + "$MSE_list[[55]][[17]]\n", + "[1] 2.762422\n", + "\n", + "$MSE_list[[55]][[18]]\n", + "[1] 1.668951\n", + "\n", + "$MSE_list[[55]][[19]]\n", + "[1] 2.183442\n", + "\n", + "$MSE_list[[55]][[20]]\n", + "[1] 2.021017\n", + "\n", + "$MSE_list[[55]][[21]]\n", + "[1] 3.280641\n", + "\n", + "$MSE_list[[55]][[22]]\n", + "[1] 5.983503\n", + "\n", + "$MSE_list[[55]][[23]]\n", + "[1] 2.683359\n", + "\n", + "$MSE_list[[55]][[24]]\n", + "[1] 10.14611\n", + "\n", + "$MSE_list[[55]][[25]]\n", + "[1] 4.222557\n", + "\n", + "$MSE_list[[55]][[26]]\n", + "[1] 2.291882\n", + "\n", + "$MSE_list[[55]][[27]]\n", + "[1] 1.936268\n", + "\n", + "$MSE_list[[55]][[28]]\n", + "[1] 4.225868\n", + "\n", + "$MSE_list[[55]][[29]]\n", + "[1] 8.319968\n", + "\n", + "$MSE_list[[55]][[30]]\n", + "[1] 4.660971\n", + "\n", + "$MSE_list[[55]][[31]]\n", + "[1] 3.306971\n", + "\n", + "$MSE_list[[55]][[32]]\n", + "[1] 4.522162\n", + "\n", + "$MSE_list[[55]][[33]]\n", + "[1] 5.892191\n", + "\n", + "$MSE_list[[55]][[34]]\n", + "[1] 7.315948\n", + "\n", + "$MSE_list[[55]][[35]]\n", + "[1] 1.730535\n", + "\n", + "$MSE_list[[55]][[36]]\n", + "[1] 1.800607\n", + "\n", + "$MSE_list[[55]][[37]]\n", + "[1] 8.600156\n", + "\n", + "$MSE_list[[55]][[38]]\n", + "[1] 3.605226\n", + "\n", + "$MSE_list[[55]][[39]]\n", + "[1] 4.116137\n", + "\n", + "$MSE_list[[55]][[40]]\n", + "[1] 4.984265\n", + "\n", + "$MSE_list[[55]][[41]]\n", + "[1] 6.325806\n", + "\n", + "$MSE_list[[55]][[42]]\n", + "[1] 4.175457\n", + "\n", + "$MSE_list[[55]][[43]]\n", + "[1] 2.53783\n", + "\n", + "$MSE_list[[55]][[44]]\n", + "[1] 3.587676\n", + "\n", + "$MSE_list[[55]][[45]]\n", + "[1] 1.883061\n", + "\n", + "$MSE_list[[55]][[46]]\n", + "[1] 5.587534\n", + "\n", + "$MSE_list[[55]][[47]]\n", + "[1] 1.443498\n", + "\n", + "$MSE_list[[55]][[48]]\n", + "[1] 1.952254\n", + "\n", + "$MSE_list[[55]][[49]]\n", + "[1] 7.196791\n", + "\n", + "$MSE_list[[55]][[50]]\n", + "[1] 2.33268\n", + "\n", + "$MSE_list[[55]][[51]]\n", + "[1] 3.145937\n", + "\n", + "$MSE_list[[55]][[52]]\n", + "[1] 0.9905808\n", + "\n", + "$MSE_list[[55]][[53]]\n", + "[1] 7.319578\n", + "\n", + "$MSE_list[[55]][[54]]\n", + "[1] 1.344211\n", + "\n", + "$MSE_list[[55]][[55]]\n", + "[1] 3.411014\n", + "\n", + "$MSE_list[[55]][[56]]\n", + "[1] 2.081207\n", + "\n", + "$MSE_list[[55]][[57]]\n", + "[1] 0.8130976\n", + "\n", + "$MSE_list[[55]][[58]]\n", + "[1] 1.399549\n", + "\n", + "$MSE_list[[55]][[59]]\n", + "[1] 2.207018\n", + "\n", + "$MSE_list[[55]][[60]]\n", + "[1] 1.237567\n", + "\n", + "$MSE_list[[55]][[61]]\n", + "[1] 0.8684527\n", + "\n", + "$MSE_list[[55]][[62]]\n", + "[1] 0.6689906\n", + "\n", + "$MSE_list[[55]][[63]]\n", + "[1] 3.221082\n", + "\n", + "$MSE_list[[55]][[64]]\n", + "[1] 5.603277\n", + "\n", + "$MSE_list[[55]][[65]]\n", + "[1] 2.505253\n", + "\n", + "$MSE_list[[55]][[66]]\n", + "[1] 2.135334\n", + "\n", + "$MSE_list[[55]][[67]]\n", + "[1] 1.6636\n", + "\n", + "$MSE_list[[55]][[68]]\n", + "[1] 9.929136\n", + "\n", + "$MSE_list[[55]][[69]]\n", + "[1] 2.259509\n", + "\n", + "$MSE_list[[55]][[70]]\n", + "[1] 3.130657\n", + "\n", + "$MSE_list[[55]][[71]]\n", + "[1] 6.185487\n", + "\n", + "$MSE_list[[55]][[72]]\n", + "[1] 1.04326\n", + "\n", + "$MSE_list[[55]][[73]]\n", + "[1] 10.13784\n", + "\n", + "$MSE_list[[55]][[74]]\n", + "[1] 3.240844\n", + "\n", + "$MSE_list[[55]][[75]]\n", + "[1] 4.797407\n", + "\n", + "$MSE_list[[55]][[76]]\n", + "[1] 6.932894\n", + "\n", + "$MSE_list[[55]][[77]]\n", + "[1] 1.893821\n", + "\n", + "$MSE_list[[55]][[78]]\n", + "[1] 3.435011\n", + "\n", + "$MSE_list[[55]][[79]]\n", + "[1] 5.111845\n", + "\n", + "$MSE_list[[55]][[80]]\n", + "[1] 6.194877\n", + "\n", + "$MSE_list[[55]][[81]]\n", + "[1] 3.007441\n", + "\n", + "$MSE_list[[55]][[82]]\n", + "[1] 1.49863\n", + "\n", + "$MSE_list[[55]][[83]]\n", + "[1] 2.089147\n", + "\n", + "$MSE_list[[55]][[84]]\n", + "[1] 2.113432\n", + "\n", + "$MSE_list[[55]][[85]]\n", + "[1] 2.949784\n", + "\n", + "$MSE_list[[55]][[86]]\n", + "[1] 4.179304\n", + "\n", + "$MSE_list[[55]][[87]]\n", + "[1] 3.369834\n", + "\n", + "$MSE_list[[55]][[88]]\n", + "[1] 8.048589\n", + "\n", + "$MSE_list[[55]][[89]]\n", + "[1] 1.459215\n", + "\n", + "$MSE_list[[55]][[90]]\n", + "[1] 0.7329674\n", + "\n", + "$MSE_list[[55]][[91]]\n", + "[1] 5.266742\n", + "\n", + "$MSE_list[[55]][[92]]\n", + "[1] 4.260905\n", + "\n", + "$MSE_list[[55]][[93]]\n", + "[1] 3.463\n", + "\n", + "$MSE_list[[55]][[94]]\n", + "[1] 2.849372\n", + "\n", + "$MSE_list[[55]][[95]]\n", + "[1] 5.198005\n", + "\n", + "$MSE_list[[55]][[96]]\n", + "[1] 3.446883\n", + "\n", + "$MSE_list[[55]][[97]]\n", + "[1] 2.718687\n", + "\n", + "$MSE_list[[55]][[98]]\n", + "[1] 1.164398\n", + "\n", + "$MSE_list[[55]][[99]]\n", + "[1] 6.424973\n", + "\n", + "$MSE_list[[55]][[100]]\n", + "[1] 3.440411\n", + "\n", + "\n", + "$MSE_list[[56]]\n", + "$MSE_list[[56]][[1]]\n", + "[1] 1.831544\n", + "\n", + "$MSE_list[[56]][[2]]\n", + "[1] 5.11211\n", + "\n", + "$MSE_list[[56]][[3]]\n", + "[1] 4.490207\n", + "\n", + "$MSE_list[[56]][[4]]\n", + "[1] 2.944886\n", + "\n", + "$MSE_list[[56]][[5]]\n", + "[1] 4.07309\n", + "\n", + "$MSE_list[[56]][[6]]\n", + "[1] 5.227955\n", + "\n", + "$MSE_list[[56]][[7]]\n", + "[1] 5.453818\n", + "\n", + "$MSE_list[[56]][[8]]\n", + "[1] 2.838289\n", + "\n", + "$MSE_list[[56]][[9]]\n", + "[1] 2.487891\n", + "\n", + "$MSE_list[[56]][[10]]\n", + "[1] 4.521378\n", + "\n", + "$MSE_list[[56]][[11]]\n", + "[1] 3.275322\n", + "\n", + "$MSE_list[[56]][[12]]\n", + "[1] 5.863467\n", + "\n", + "$MSE_list[[56]][[13]]\n", + "[1] 1.639903\n", + "\n", + "$MSE_list[[56]][[14]]\n", + "[1] 1.884358\n", + "\n", + "$MSE_list[[56]][[15]]\n", + "[1] 3.317686\n", + "\n", + "$MSE_list[[56]][[16]]\n", + "[1] 2.454629\n", + "\n", + "$MSE_list[[56]][[17]]\n", + "[1] 2.867642\n", + "\n", + "$MSE_list[[56]][[18]]\n", + "[1] 3.089021\n", + "\n", + "$MSE_list[[56]][[19]]\n", + "[1] 4.702744\n", + "\n", + "$MSE_list[[56]][[20]]\n", + "[1] 0.7274415\n", + "\n", + "$MSE_list[[56]][[21]]\n", + "[1] 4.52855\n", + "\n", + "$MSE_list[[56]][[22]]\n", + "[1] 3.159781\n", + "\n", + "$MSE_list[[56]][[23]]\n", + "[1] 1.387326\n", + "\n", + "$MSE_list[[56]][[24]]\n", + "[1] 0.5624784\n", + "\n", + "$MSE_list[[56]][[25]]\n", + "[1] 1.515111\n", + "\n", + "$MSE_list[[56]][[26]]\n", + "[1] 1.625051\n", + "\n", + "$MSE_list[[56]][[27]]\n", + "[1] 4.137805\n", + "\n", + "$MSE_list[[56]][[28]]\n", + "[1] 1.13801\n", + "\n", + "$MSE_list[[56]][[29]]\n", + "[1] 6.902185\n", + "\n", + "$MSE_list[[56]][[30]]\n", + "[1] 4.379664\n", + "\n", + "$MSE_list[[56]][[31]]\n", + "[1] 0.9757535\n", + "\n", + "$MSE_list[[56]][[32]]\n", + "[1] 5.864729\n", + "\n", + "$MSE_list[[56]][[33]]\n", + "[1] 5.630658\n", + "\n", + "$MSE_list[[56]][[34]]\n", + "[1] 3.367639\n", + "\n", + "$MSE_list[[56]][[35]]\n", + "[1] 3.207322\n", + "\n", + "$MSE_list[[56]][[36]]\n", + "[1] 1.709073\n", + "\n", + "$MSE_list[[56]][[37]]\n", + "[1] 3.924554\n", + "\n", + "$MSE_list[[56]][[38]]\n", + "[1] 2.497918\n", + "\n", + "$MSE_list[[56]][[39]]\n", + "[1] 4.420577\n", + "\n", + "$MSE_list[[56]][[40]]\n", + "[1] 2.359403\n", + "\n", + "$MSE_list[[56]][[41]]\n", + "[1] 1.444129\n", + "\n", + "$MSE_list[[56]][[42]]\n", + "[1] 3.353284\n", + "\n", + "$MSE_list[[56]][[43]]\n", + "[1] 1.787059\n", + "\n", + "$MSE_list[[56]][[44]]\n", + "[1] 2.804426\n", + "\n", + "$MSE_list[[56]][[45]]\n", + "[1] 9.169064\n", + "\n", + "$MSE_list[[56]][[46]]\n", + "[1] 1.924874\n", + "\n", + "$MSE_list[[56]][[47]]\n", + "[1] 4.646625\n", + "\n", + "$MSE_list[[56]][[48]]\n", + "[1] 1.282413\n", + "\n", + "$MSE_list[[56]][[49]]\n", + "[1] 1.883723\n", + "\n", + "$MSE_list[[56]][[50]]\n", + "[1] 1.296031\n", + "\n", + "$MSE_list[[56]][[51]]\n", + "[1] 1.615278\n", + "\n", + "$MSE_list[[56]][[52]]\n", + "[1] 0.8450346\n", + "\n", + "$MSE_list[[56]][[53]]\n", + "[1] 5.520169\n", + "\n", + "$MSE_list[[56]][[54]]\n", + "[1] 2.827135\n", + "\n", + "$MSE_list[[56]][[55]]\n", + "[1] 4.650761\n", + "\n", + "$MSE_list[[56]][[56]]\n", + "[1] 3.694996\n", + "\n", + "$MSE_list[[56]][[57]]\n", + "[1] 4.348031\n", + "\n", + "$MSE_list[[56]][[58]]\n", + "[1] 1.996436\n", + "\n", + "$MSE_list[[56]][[59]]\n", + "[1] 7.513494\n", + "\n", + "$MSE_list[[56]][[60]]\n", + "[1] 4.689874\n", + "\n", + "$MSE_list[[56]][[61]]\n", + "[1] 4.847695\n", + "\n", + "$MSE_list[[56]][[62]]\n", + "[1] 4.521991\n", + "\n", + "$MSE_list[[56]][[63]]\n", + "[1] 1.355919\n", + "\n", + "$MSE_list[[56]][[64]]\n", + "[1] 4.495843\n", + "\n", + "$MSE_list[[56]][[65]]\n", + "[1] 3.305231\n", + "\n", + "$MSE_list[[56]][[66]]\n", + "[1] 2.148555\n", + "\n", + "$MSE_list[[56]][[67]]\n", + "[1] 1.58462\n", + "\n", + "$MSE_list[[56]][[68]]\n", + "[1] 2.401707\n", + "\n", + "$MSE_list[[56]][[69]]\n", + "[1] 5.552675\n", + "\n", + "$MSE_list[[56]][[70]]\n", + "[1] 5.839866\n", + "\n", + "$MSE_list[[56]][[71]]\n", + "[1] 4.747867\n", + "\n", + "$MSE_list[[56]][[72]]\n", + "[1] 2.972507\n", + "\n", + "$MSE_list[[56]][[73]]\n", + "[1] 2.602178\n", + "\n", + "$MSE_list[[56]][[74]]\n", + "[1] 2.156433\n", + "\n", + "$MSE_list[[56]][[75]]\n", + "[1] 6.681338\n", + "\n", + "$MSE_list[[56]][[76]]\n", + "[1] 3.597974\n", + "\n", + "$MSE_list[[56]][[77]]\n", + "[1] 2.282696\n", + "\n", + "$MSE_list[[56]][[78]]\n", + "[1] 2.749868\n", + "\n", + "$MSE_list[[56]][[79]]\n", + "[1] 6.62292\n", + "\n", + "$MSE_list[[56]][[80]]\n", + "[1] 1.723274\n", + "\n", + "$MSE_list[[56]][[81]]\n", + "[1] 6.07176\n", + "\n", + "$MSE_list[[56]][[82]]\n", + "[1] 7.032261\n", + "\n", + "$MSE_list[[56]][[83]]\n", + "[1] 3.51594\n", + "\n", + "$MSE_list[[56]][[84]]\n", + "[1] 4.439406\n", + "\n", + "$MSE_list[[56]][[85]]\n", + "[1] 4.596584\n", + "\n", + "$MSE_list[[56]][[86]]\n", + "[1] 2.605671\n", + "\n", + "$MSE_list[[56]][[87]]\n", + "[1] 2.543223\n", + "\n", + "$MSE_list[[56]][[88]]\n", + "[1] 3.659824\n", + "\n", + "$MSE_list[[56]][[89]]\n", + "[1] 2.21717\n", + "\n", + "$MSE_list[[56]][[90]]\n", + "[1] 2.118687\n", + "\n", + "$MSE_list[[56]][[91]]\n", + "[1] 4.300866\n", + "\n", + "$MSE_list[[56]][[92]]\n", + "[1] 6.696402\n", + "\n", + "$MSE_list[[56]][[93]]\n", + "[1] 4.680102\n", + "\n", + "$MSE_list[[56]][[94]]\n", + "[1] 1.377692\n", + "\n", + "$MSE_list[[56]][[95]]\n", + "[1] 5.235617\n", + "\n", + "$MSE_list[[56]][[96]]\n", + "[1] 2.646614\n", + "\n", + "$MSE_list[[56]][[97]]\n", + "[1] 3.628511\n", + "\n", + "$MSE_list[[56]][[98]]\n", + "[1] 3.524011\n", + "\n", + "$MSE_list[[56]][[99]]\n", + "[1] 3.016254\n", + "\n", + "$MSE_list[[56]][[100]]\n", + "[1] 2.615644\n", + "\n", + "\n", + "$MSE_list[[57]]\n", + "$MSE_list[[57]][[1]]\n", + "[1] 5.845678\n", + "\n", + "$MSE_list[[57]][[2]]\n", + "[1] 1.031232\n", + "\n", + "$MSE_list[[57]][[3]]\n", + "[1] 0.7541982\n", + "\n", + "$MSE_list[[57]][[4]]\n", + "[1] 8.318221\n", + "\n", + "$MSE_list[[57]][[5]]\n", + "[1] 4.29673\n", + "\n", + "$MSE_list[[57]][[6]]\n", + "[1] 4.484207\n", + "\n", + "$MSE_list[[57]][[7]]\n", + "[1] 1.542118\n", + "\n", + "$MSE_list[[57]][[8]]\n", + "[1] 1.521943\n", + "\n", + "$MSE_list[[57]][[9]]\n", + "[1] 4.285831\n", + "\n", + "$MSE_list[[57]][[10]]\n", + "[1] 4.578198\n", + "\n", + "$MSE_list[[57]][[11]]\n", + "[1] 3.252437\n", + "\n", + "$MSE_list[[57]][[12]]\n", + "[1] 1.839917\n", + "\n", + "$MSE_list[[57]][[13]]\n", + "[1] 7.692145\n", + "\n", + "$MSE_list[[57]][[14]]\n", + "[1] 1.667863\n", + "\n", + "$MSE_list[[57]][[15]]\n", + "[1] 6.621437\n", + "\n", + "$MSE_list[[57]][[16]]\n", + "[1] 0.4048599\n", + "\n", + "$MSE_list[[57]][[17]]\n", + "[1] 9.704066\n", + "\n", + "$MSE_list[[57]][[18]]\n", + "[1] 2.227764\n", + "\n", + "$MSE_list[[57]][[19]]\n", + "[1] 5.548018\n", + "\n", + "$MSE_list[[57]][[20]]\n", + "[1] 1.844511\n", + "\n", + "$MSE_list[[57]][[21]]\n", + "[1] 8.118111\n", + "\n", + "$MSE_list[[57]][[22]]\n", + "[1] 7.166892\n", + "\n", + "$MSE_list[[57]][[23]]\n", + "[1] 1.671058\n", + "\n", + "$MSE_list[[57]][[24]]\n", + "[1] 8.163483\n", + "\n", + "$MSE_list[[57]][[25]]\n", + "[1] 0.6840246\n", + "\n", + "$MSE_list[[57]][[26]]\n", + "[1] 1.25877\n", + "\n", + "$MSE_list[[57]][[27]]\n", + "[1] 2.320484\n", + "\n", + "$MSE_list[[57]][[28]]\n", + "[1] 2.62583\n", + "\n", + "$MSE_list[[57]][[29]]\n", + "[1] 1.944327\n", + "\n", + "$MSE_list[[57]][[30]]\n", + "[1] 3.994178\n", + "\n", + "$MSE_list[[57]][[31]]\n", + "[1] 2.117509\n", + "\n", + "$MSE_list[[57]][[32]]\n", + "[1] 4.876573\n", + "\n", + "$MSE_list[[57]][[33]]\n", + "[1] 3.922542\n", + "\n", + "$MSE_list[[57]][[34]]\n", + "[1] 4.515162\n", + "\n", + "$MSE_list[[57]][[35]]\n", + "[1] 4.13339\n", + "\n", + "$MSE_list[[57]][[36]]\n", + "[1] 4.39048\n", + "\n", + "$MSE_list[[57]][[37]]\n", + "[1] 5.999995\n", + "\n", + "$MSE_list[[57]][[38]]\n", + "[1] 5.072042\n", + "\n", + "$MSE_list[[57]][[39]]\n", + "[1] 16.78351\n", + "\n", + "$MSE_list[[57]][[40]]\n", + "[1] 4.791598\n", + "\n", + "$MSE_list[[57]][[41]]\n", + "[1] 6.498585\n", + "\n", + "$MSE_list[[57]][[42]]\n", + "[1] 5.519013\n", + "\n", + "$MSE_list[[57]][[43]]\n", + "[1] 0.2505646\n", + "\n", + "$MSE_list[[57]][[44]]\n", + "[1] 1.421717\n", + "\n", + "$MSE_list[[57]][[45]]\n", + "[1] 9.156044\n", + "\n", + "$MSE_list[[57]][[46]]\n", + "[1] 1.181742\n", + "\n", + "$MSE_list[[57]][[47]]\n", + "[1] 1.114003\n", + "\n", + "$MSE_list[[57]][[48]]\n", + "[1] 0.6459719\n", + "\n", + "$MSE_list[[57]][[49]]\n", + "[1] 8.573658\n", + "\n", + "$MSE_list[[57]][[50]]\n", + "[1] 3.626613\n", + "\n", + "$MSE_list[[57]][[51]]\n", + "[1] 4.661203\n", + "\n", + "$MSE_list[[57]][[52]]\n", + "[1] 6.545162\n", + "\n", + "$MSE_list[[57]][[53]]\n", + "[1] 3.779506\n", + "\n", + "$MSE_list[[57]][[54]]\n", + "[1] 4.013121\n", + "\n", + "$MSE_list[[57]][[55]]\n", + "[1] 3.316709\n", + "\n", + "$MSE_list[[57]][[56]]\n", + "[1] 6.595646\n", + "\n", + "$MSE_list[[57]][[57]]\n", + "[1] 1.671879\n", + "\n", + "$MSE_list[[57]][[58]]\n", + "[1] 5.212396\n", + "\n", + "$MSE_list[[57]][[59]]\n", + "[1] 4.976333\n", + "\n", + "$MSE_list[[57]][[60]]\n", + "[1] 7.580245\n", + "\n", + "$MSE_list[[57]][[61]]\n", + "[1] 1.680875\n", + "\n", + "$MSE_list[[57]][[62]]\n", + "[1] 5.216107\n", + "\n", + "$MSE_list[[57]][[63]]\n", + "[1] 2.640844\n", + "\n", + "$MSE_list[[57]][[64]]\n", + "[1] 5.850886\n", + "\n", + "$MSE_list[[57]][[65]]\n", + "[1] 3.415036\n", + "\n", + "$MSE_list[[57]][[66]]\n", + "[1] 0.9424801\n", + "\n", + "$MSE_list[[57]][[67]]\n", + "[1] 4.967894\n", + "\n", + "$MSE_list[[57]][[68]]\n", + "[1] 5.01179\n", + "\n", + "$MSE_list[[57]][[69]]\n", + "[1] 4.229012\n", + "\n", + "$MSE_list[[57]][[70]]\n", + "[1] 2.184023\n", + "\n", + "$MSE_list[[57]][[71]]\n", + "[1] 8.68383\n", + "\n", + "$MSE_list[[57]][[72]]\n", + "[1] 1.534661\n", + "\n", + "$MSE_list[[57]][[73]]\n", + "[1] 4.682113\n", + "\n", + "$MSE_list[[57]][[74]]\n", + "[1] 6.275349\n", + "\n", + "$MSE_list[[57]][[75]]\n", + "[1] 6.223386\n", + "\n", + "$MSE_list[[57]][[76]]\n", + "[1] 4.710532\n", + "\n", + "$MSE_list[[57]][[77]]\n", + "[1] 1.033554\n", + "\n", + "$MSE_list[[57]][[78]]\n", + "[1] 1.996925\n", + "\n", + "$MSE_list[[57]][[79]]\n", + "[1] 1.928985\n", + "\n", + "$MSE_list[[57]][[80]]\n", + "[1] 5.191063\n", + "\n", + "$MSE_list[[57]][[81]]\n", + "[1] 0.9355149\n", + "\n", + "$MSE_list[[57]][[82]]\n", + "[1] 2.159041\n", + "\n", + "$MSE_list[[57]][[83]]\n", + "[1] 5.063498\n", + "\n", + "$MSE_list[[57]][[84]]\n", + "[1] 2.862916\n", + "\n", + "$MSE_list[[57]][[85]]\n", + "[1] 1.092208\n", + "\n", + "$MSE_list[[57]][[86]]\n", + "[1] 4.305666\n", + "\n", + "$MSE_list[[57]][[87]]\n", + "[1] 1.516789\n", + "\n", + "$MSE_list[[57]][[88]]\n", + "[1] 1.317887\n", + "\n", + "$MSE_list[[57]][[89]]\n", + "[1] 1.597153\n", + "\n", + "$MSE_list[[57]][[90]]\n", + "[1] 0.918497\n", + "\n", + "$MSE_list[[57]][[91]]\n", + "[1] 4.744406\n", + "\n", + "$MSE_list[[57]][[92]]\n", + "[1] 7.681108\n", + "\n", + "$MSE_list[[57]][[93]]\n", + "[1] 6.006307\n", + "\n", + "$MSE_list[[57]][[94]]\n", + "[1] 2.090725\n", + "\n", + "$MSE_list[[57]][[95]]\n", + "[1] 1.76036\n", + "\n", + "$MSE_list[[57]][[96]]\n", + "[1] 0.8388749\n", + "\n", + "$MSE_list[[57]][[97]]\n", + "[1] 2.97673\n", + "\n", + "$MSE_list[[57]][[98]]\n", + "[1] 5.924427\n", + "\n", + "$MSE_list[[57]][[99]]\n", + "[1] 1.648014\n", + "\n", + "$MSE_list[[57]][[100]]\n", + "[1] 1.285881\n", + "\n", + "\n", + "$MSE_list[[58]]\n", + "$MSE_list[[58]][[1]]\n", + "[1] 1.980561\n", + "\n", + "$MSE_list[[58]][[2]]\n", + "[1] 3.542382\n", + "\n", + "$MSE_list[[58]][[3]]\n", + "[1] 4.713566\n", + "\n", + "$MSE_list[[58]][[4]]\n", + "[1] 4.790005\n", + "\n", + "$MSE_list[[58]][[5]]\n", + "[1] 5.448165\n", + "\n", + "$MSE_list[[58]][[6]]\n", + "[1] 5.414787\n", + "\n", + "$MSE_list[[58]][[7]]\n", + "[1] 2.292614\n", + "\n", + "$MSE_list[[58]][[8]]\n", + "[1] 7.573281\n", + "\n", + "$MSE_list[[58]][[9]]\n", + "[1] 1.087307\n", + "\n", + "$MSE_list[[58]][[10]]\n", + "[1] 4.565651\n", + "\n", + "$MSE_list[[58]][[11]]\n", + "[1] 2.029336\n", + "\n", + "$MSE_list[[58]][[12]]\n", + "[1] 2.788061\n", + "\n", + "$MSE_list[[58]][[13]]\n", + "[1] 3.695869\n", + "\n", + "$MSE_list[[58]][[14]]\n", + "[1] 5.34203\n", + "\n", + "$MSE_list[[58]][[15]]\n", + "[1] 6.142759\n", + "\n", + "$MSE_list[[58]][[16]]\n", + "[1] 6.240798\n", + "\n", + "$MSE_list[[58]][[17]]\n", + "[1] 5.35129\n", + "\n", + "$MSE_list[[58]][[18]]\n", + "[1] 3.685736\n", + "\n", + "$MSE_list[[58]][[19]]\n", + "[1] 7.485625\n", + "\n", + "$MSE_list[[58]][[20]]\n", + "[1] 2.25767\n", + "\n", + "$MSE_list[[58]][[21]]\n", + "[1] 1.783739\n", + "\n", + "$MSE_list[[58]][[22]]\n", + "[1] 2.599167\n", + "\n", + "$MSE_list[[58]][[23]]\n", + "[1] 1.935556\n", + "\n", + "$MSE_list[[58]][[24]]\n", + "[1] 6.262835\n", + "\n", + "$MSE_list[[58]][[25]]\n", + "[1] 6.002146\n", + "\n", + "$MSE_list[[58]][[26]]\n", + "[1] 2.606172\n", + "\n", + "$MSE_list[[58]][[27]]\n", + "[1] 3.068312\n", + "\n", + "$MSE_list[[58]][[28]]\n", + "[1] 1.847818\n", + "\n", + "$MSE_list[[58]][[29]]\n", + "[1] 2.661521\n", + "\n", + "$MSE_list[[58]][[30]]\n", + "[1] 6.060302\n", + "\n", + "$MSE_list[[58]][[31]]\n", + "[1] 2.143951\n", + "\n", + "$MSE_list[[58]][[32]]\n", + "[1] 3.173114\n", + "\n", + "$MSE_list[[58]][[33]]\n", + "[1] 2.899626\n", + "\n", + "$MSE_list[[58]][[34]]\n", + "[1] 6.950718\n", + "\n", + "$MSE_list[[58]][[35]]\n", + "[1] 2.118568\n", + "\n", + "$MSE_list[[58]][[36]]\n", + "[1] 6.349553\n", + "\n", + "$MSE_list[[58]][[37]]\n", + "[1] 6.565148\n", + "\n", + "$MSE_list[[58]][[38]]\n", + "[1] 3.920828\n", + "\n", + "$MSE_list[[58]][[39]]\n", + "[1] 2.277\n", + "\n", + "$MSE_list[[58]][[40]]\n", + "[1] 0.9262406\n", + "\n", + "$MSE_list[[58]][[41]]\n", + "[1] 4.041976\n", + "\n", + "$MSE_list[[58]][[42]]\n", + "[1] 4.789278\n", + "\n", + "$MSE_list[[58]][[43]]\n", + "[1] 5.819949\n", + "\n", + "$MSE_list[[58]][[44]]\n", + "[1] 1.984439\n", + "\n", + "$MSE_list[[58]][[45]]\n", + "[1] 2.555963\n", + "\n", + "$MSE_list[[58]][[46]]\n", + "[1] 3.526604\n", + "\n", + "$MSE_list[[58]][[47]]\n", + "[1] 2.039489\n", + "\n", + "$MSE_list[[58]][[48]]\n", + "[1] 3.414166\n", + "\n", + "$MSE_list[[58]][[49]]\n", + "[1] 4.752289\n", + "\n", + "$MSE_list[[58]][[50]]\n", + "[1] 5.566699\n", + "\n", + "$MSE_list[[58]][[51]]\n", + "[1] 4.592358\n", + "\n", + "$MSE_list[[58]][[52]]\n", + "[1] 2.433412\n", + "\n", + "$MSE_list[[58]][[53]]\n", + "[1] 2.921864\n", + "\n", + "$MSE_list[[58]][[54]]\n", + "[1] 6.282413\n", + "\n", + "$MSE_list[[58]][[55]]\n", + "[1] 1.649092\n", + "\n", + "$MSE_list[[58]][[56]]\n", + "[1] 2.237486\n", + "\n", + "$MSE_list[[58]][[57]]\n", + "[1] 1.453696\n", + "\n", + "$MSE_list[[58]][[58]]\n", + "[1] 3.032341\n", + "\n", + "$MSE_list[[58]][[59]]\n", + "[1] 5.74278\n", + "\n", + "$MSE_list[[58]][[60]]\n", + "[1] 7.255164\n", + "\n", + "$MSE_list[[58]][[61]]\n", + "[1] 8.270699\n", + "\n", + "$MSE_list[[58]][[62]]\n", + "[1] 1.435827\n", + "\n", + "$MSE_list[[58]][[63]]\n", + "[1] 0.9805446\n", + "\n", + "$MSE_list[[58]][[64]]\n", + "[1] 5.01376\n", + "\n", + "$MSE_list[[58]][[65]]\n", + "[1] 0.7058871\n", + "\n", + "$MSE_list[[58]][[66]]\n", + "[1] 2.094222\n", + "\n", + "$MSE_list[[58]][[67]]\n", + "[1] 5.503478\n", + "\n", + "$MSE_list[[58]][[68]]\n", + "[1] 3.127015\n", + "\n", + "$MSE_list[[58]][[69]]\n", + "[1] 2.331316\n", + "\n", + "$MSE_list[[58]][[70]]\n", + "[1] 3.775434\n", + "\n", + "$MSE_list[[58]][[71]]\n", + "[1] 4.514428\n", + "\n", + "$MSE_list[[58]][[72]]\n", + "[1] 5.460046\n", + "\n", + "$MSE_list[[58]][[73]]\n", + "[1] 6.062694\n", + "\n", + "$MSE_list[[58]][[74]]\n", + "[1] 6.710014\n", + "\n", + "$MSE_list[[58]][[75]]\n", + "[1] 4.444169\n", + "\n", + "$MSE_list[[58]][[76]]\n", + "[1] 0.9878218\n", + "\n", + "$MSE_list[[58]][[77]]\n", + "[1] 1.598298\n", + "\n", + "$MSE_list[[58]][[78]]\n", + "[1] 1.476358\n", + "\n", + "$MSE_list[[58]][[79]]\n", + "[1] 1.268737\n", + "\n", + "$MSE_list[[58]][[80]]\n", + "[1] 3.232204\n", + "\n", + "$MSE_list[[58]][[81]]\n", + "[1] 3.446561\n", + "\n", + "$MSE_list[[58]][[82]]\n", + "[1] 4.685925\n", + "\n", + "$MSE_list[[58]][[83]]\n", + "[1] 5.331812\n", + "\n", + "$MSE_list[[58]][[84]]\n", + "[1] 6.23873\n", + "\n", + "$MSE_list[[58]][[85]]\n", + "[1] 2.06921\n", + "\n", + "$MSE_list[[58]][[86]]\n", + "[1] 2.33396\n", + "\n", + "$MSE_list[[58]][[87]]\n", + "[1] 6.407316\n", + "\n", + "$MSE_list[[58]][[88]]\n", + "[1] 2.954133\n", + "\n", + "$MSE_list[[58]][[89]]\n", + "[1] 4.193662\n", + "\n", + "$MSE_list[[58]][[90]]\n", + "[1] 2.805298\n", + "\n", + "$MSE_list[[58]][[91]]\n", + "[1] 5.446224\n", + "\n", + "$MSE_list[[58]][[92]]\n", + "[1] 2.220056\n", + "\n", + "$MSE_list[[58]][[93]]\n", + "[1] 1.26021\n", + "\n", + "$MSE_list[[58]][[94]]\n", + "[1] 3.502547\n", + "\n", + "$MSE_list[[58]][[95]]\n", + "[1] 4.448934\n", + "\n", + "$MSE_list[[58]][[96]]\n", + "[1] 2.735311\n", + "\n", + "$MSE_list[[58]][[97]]\n", + "[1] 2.68501\n", + "\n", + "$MSE_list[[58]][[98]]\n", + "[1] 6.703945\n", + "\n", + "$MSE_list[[58]][[99]]\n", + "[1] 2.43097\n", + "\n", + "$MSE_list[[58]][[100]]\n", + "[1] 2.682694\n", + "\n", + "\n", + "$MSE_list[[59]]\n", + "$MSE_list[[59]][[1]]\n", + "[1] 5.853728\n", + "\n", + "$MSE_list[[59]][[2]]\n", + "[1] 6.480815\n", + "\n", + "$MSE_list[[59]][[3]]\n", + "[1] 0.942012\n", + "\n", + "$MSE_list[[59]][[4]]\n", + "[1] 6.065128\n", + "\n", + "$MSE_list[[59]][[5]]\n", + "[1] 5.591999\n", + "\n", + "$MSE_list[[59]][[6]]\n", + "[1] 2.548146\n", + "\n", + "$MSE_list[[59]][[7]]\n", + "[1] 1.902737\n", + "\n", + "$MSE_list[[59]][[8]]\n", + "[1] 0.5569131\n", + "\n", + "$MSE_list[[59]][[9]]\n", + "[1] 5.076514\n", + "\n", + "$MSE_list[[59]][[10]]\n", + "[1] 1.739602\n", + "\n", + "$MSE_list[[59]][[11]]\n", + "[1] 1.421415\n", + "\n", + "$MSE_list[[59]][[12]]\n", + "[1] 0.4676163\n", + "\n", + "$MSE_list[[59]][[13]]\n", + "[1] 3.517158\n", + "\n", + "$MSE_list[[59]][[14]]\n", + "[1] 0.9634141\n", + "\n", + "$MSE_list[[59]][[15]]\n", + "[1] 2.16014\n", + "\n", + "$MSE_list[[59]][[16]]\n", + "[1] 0.658219\n", + "\n", + "$MSE_list[[59]][[17]]\n", + "[1] 2.62349\n", + "\n", + "$MSE_list[[59]][[18]]\n", + "[1] 1.808884\n", + "\n", + "$MSE_list[[59]][[19]]\n", + "[1] 3.908845\n", + "\n", + "$MSE_list[[59]][[20]]\n", + "[1] 2.243407\n", + "\n", + "$MSE_list[[59]][[21]]\n", + "[1] 1.083394\n", + "\n", + "$MSE_list[[59]][[22]]\n", + "[1] 7.08354\n", + "\n", + "$MSE_list[[59]][[23]]\n", + "[1] 0.4332126\n", + "\n", + "$MSE_list[[59]][[24]]\n", + "[1] 2.256018\n", + "\n", + "$MSE_list[[59]][[25]]\n", + "[1] 3.953322\n", + "\n", + "$MSE_list[[59]][[26]]\n", + "[1] 1.031916\n", + "\n", + "$MSE_list[[59]][[27]]\n", + "[1] 0.5390644\n", + "\n", + "$MSE_list[[59]][[28]]\n", + "[1] 7.322547\n", + "\n", + "$MSE_list[[59]][[29]]\n", + "[1] 5.156315\n", + "\n", + "$MSE_list[[59]][[30]]\n", + "[1] 3.130199\n", + "\n", + "$MSE_list[[59]][[31]]\n", + "[1] 4.85239\n", + "\n", + "$MSE_list[[59]][[32]]\n", + "[1] 0.8460535\n", + "\n", + "$MSE_list[[59]][[33]]\n", + "[1] 1.995903\n", + "\n", + "$MSE_list[[59]][[34]]\n", + "[1] 3.573427\n", + "\n", + "$MSE_list[[59]][[35]]\n", + "[1] 0.8281276\n", + "\n", + "$MSE_list[[59]][[36]]\n", + "[1] 4.202945\n", + "\n", + "$MSE_list[[59]][[37]]\n", + "[1] 1.702236\n", + "\n", + "$MSE_list[[59]][[38]]\n", + "[1] 0.4263153\n", + "\n", + "$MSE_list[[59]][[39]]\n", + "[1] 1.370587\n", + "\n", + "$MSE_list[[59]][[40]]\n", + "[1] 5.122528\n", + "\n", + "$MSE_list[[59]][[41]]\n", + "[1] 3.002072\n", + "\n", + "$MSE_list[[59]][[42]]\n", + "[1] 4.692604\n", + "\n", + "$MSE_list[[59]][[43]]\n", + "[1] 6.188535\n", + "\n", + "$MSE_list[[59]][[44]]\n", + "[1] 1.451563\n", + "\n", + "$MSE_list[[59]][[45]]\n", + "[1] 1.311035\n", + "\n", + "$MSE_list[[59]][[46]]\n", + "[1] 1.142786\n", + "\n", + "$MSE_list[[59]][[47]]\n", + "[1] 0.543765\n", + "\n", + "$MSE_list[[59]][[48]]\n", + "[1] 1.716983\n", + "\n", + "$MSE_list[[59]][[49]]\n", + "[1] 1.741499\n", + "\n", + "$MSE_list[[59]][[50]]\n", + "[1] 3.051247\n", + "\n", + "$MSE_list[[59]][[51]]\n", + "[1] 3.216138\n", + "\n", + "$MSE_list[[59]][[52]]\n", + "[1] 2.666409\n", + "\n", + "$MSE_list[[59]][[53]]\n", + "[1] 1.758988\n", + "\n", + "$MSE_list[[59]][[54]]\n", + "[1] 1.070743\n", + "\n", + "$MSE_list[[59]][[55]]\n", + "[1] 4.061926\n", + "\n", + "$MSE_list[[59]][[56]]\n", + "[1] 1.05331\n", + "\n", + "$MSE_list[[59]][[57]]\n", + "[1] 1.646659\n", + "\n", + "$MSE_list[[59]][[58]]\n", + "[1] 1.828022\n", + "\n", + "$MSE_list[[59]][[59]]\n", + "[1] 5.45053\n", + "\n", + "$MSE_list[[59]][[60]]\n", + "[1] 1.051921\n", + "\n", + "$MSE_list[[59]][[61]]\n", + "[1] 1.836778\n", + "\n", + "$MSE_list[[59]][[62]]\n", + "[1] 2.12016\n", + "\n", + "$MSE_list[[59]][[63]]\n", + "[1] 2.037506\n", + "\n", + "$MSE_list[[59]][[64]]\n", + "[1] 2.009949\n", + "\n", + "$MSE_list[[59]][[65]]\n", + "[1] 3.264154\n", + "\n", + "$MSE_list[[59]][[66]]\n", + "[1] 0.6295739\n", + "\n", + "$MSE_list[[59]][[67]]\n", + "[1] 0.8431598\n", + "\n", + "$MSE_list[[59]][[68]]\n", + "[1] 3.642709\n", + "\n", + "$MSE_list[[59]][[69]]\n", + "[1] 2.755114\n", + "\n", + "$MSE_list[[59]][[70]]\n", + "[1] 1.423061\n", + "\n", + "$MSE_list[[59]][[71]]\n", + "[1] 5.441943\n", + "\n", + "$MSE_list[[59]][[72]]\n", + "[1] 4.434425\n", + "\n", + "$MSE_list[[59]][[73]]\n", + "[1] 2.487664\n", + "\n", + "$MSE_list[[59]][[74]]\n", + "[1] 2.241592\n", + "\n", + "$MSE_list[[59]][[75]]\n", + "[1] 1.014514\n", + "\n", + "$MSE_list[[59]][[76]]\n", + "[1] 1.427564\n", + "\n", + "$MSE_list[[59]][[77]]\n", + "[1] 4.087491\n", + "\n", + "$MSE_list[[59]][[78]]\n", + "[1] 1.650063\n", + "\n", + "$MSE_list[[59]][[79]]\n", + "[1] 1.909551\n", + "\n", + "$MSE_list[[59]][[80]]\n", + "[1] 3.602256\n", + "\n", + "$MSE_list[[59]][[81]]\n", + "[1] 0.5760983\n", + "\n", + "$MSE_list[[59]][[82]]\n", + "[1] 3.617225\n", + "\n", + "$MSE_list[[59]][[83]]\n", + "[1] 3.390402\n", + "\n", + "$MSE_list[[59]][[84]]\n", + "[1] 2.935961\n", + "\n", + "$MSE_list[[59]][[85]]\n", + "[1] 1.75165\n", + "\n", + "$MSE_list[[59]][[86]]\n", + "[1] 4.745835\n", + "\n", + "$MSE_list[[59]][[87]]\n", + "[1] 2.127896\n", + "\n", + "$MSE_list[[59]][[88]]\n", + "[1] 2.529917\n", + "\n", + "$MSE_list[[59]][[89]]\n", + "[1] 1.733439\n", + "\n", + "$MSE_list[[59]][[90]]\n", + "[1] 1.586819\n", + "\n", + "$MSE_list[[59]][[91]]\n", + "[1] 3.724396\n", + "\n", + "$MSE_list[[59]][[92]]\n", + "[1] 3.218247\n", + "\n", + "$MSE_list[[59]][[93]]\n", + "[1] 1.941601\n", + "\n", + "$MSE_list[[59]][[94]]\n", + "[1] 1.245427\n", + "\n", + "$MSE_list[[59]][[95]]\n", + "[1] 1.1076\n", + "\n", + "$MSE_list[[59]][[96]]\n", + "[1] 1.450339\n", + "\n", + "$MSE_list[[59]][[97]]\n", + "[1] 6.184388\n", + "\n", + "$MSE_list[[59]][[98]]\n", + "[1] 0.8763349\n", + "\n", + "$MSE_list[[59]][[99]]\n", + "[1] 2.448468\n", + "\n", + "$MSE_list[[59]][[100]]\n", + "[1] 2.133944\n", + "\n", + "\n", + "$MSE_list[[60]]\n", + "$MSE_list[[60]][[1]]\n", + "[1] 3.625019\n", + "\n", + "$MSE_list[[60]][[2]]\n", + "[1] 2.588954\n", + "\n", + "$MSE_list[[60]][[3]]\n", + "[1] 5.592771\n", + "\n", + "$MSE_list[[60]][[4]]\n", + "[1] 4.247155\n", + "\n", + "$MSE_list[[60]][[5]]\n", + "[1] 11.77014\n", + "\n", + "$MSE_list[[60]][[6]]\n", + "[1] 5.302831\n", + "\n", + "$MSE_list[[60]][[7]]\n", + "[1] 9.627203\n", + "\n", + "$MSE_list[[60]][[8]]\n", + "[1] 6.631199\n", + "\n", + "$MSE_list[[60]][[9]]\n", + "[1] 3.272457\n", + "\n", + "$MSE_list[[60]][[10]]\n", + "[1] 4.611073\n", + "\n", + "$MSE_list[[60]][[11]]\n", + "[1] 7.896459\n", + "\n", + "$MSE_list[[60]][[12]]\n", + "[1] 5.015538\n", + "\n", + "$MSE_list[[60]][[13]]\n", + "[1] 5.280615\n", + "\n", + "$MSE_list[[60]][[14]]\n", + "[1] 1.207092\n", + "\n", + "$MSE_list[[60]][[15]]\n", + "[1] 1.438955\n", + "\n", + "$MSE_list[[60]][[16]]\n", + "[1] 8.277302\n", + "\n", + "$MSE_list[[60]][[17]]\n", + "[1] 9.350051\n", + "\n", + "$MSE_list[[60]][[18]]\n", + "[1] 3.507939\n", + "\n", + "$MSE_list[[60]][[19]]\n", + "[1] 4.021495\n", + "\n", + "$MSE_list[[60]][[20]]\n", + "[1] 10.89643\n", + "\n", + "$MSE_list[[60]][[21]]\n", + "[1] 1.729911\n", + "\n", + "$MSE_list[[60]][[22]]\n", + "[1] 9.506003\n", + "\n", + "$MSE_list[[60]][[23]]\n", + "[1] 2.247755\n", + "\n", + "$MSE_list[[60]][[24]]\n", + "[1] 8.022205\n", + "\n", + "$MSE_list[[60]][[25]]\n", + "[1] 8.430961\n", + "\n", + "$MSE_list[[60]][[26]]\n", + "[1] 9.199249\n", + "\n", + "$MSE_list[[60]][[27]]\n", + "[1] 4.323707\n", + "\n", + "$MSE_list[[60]][[28]]\n", + "[1] 10.26123\n", + "\n", + "$MSE_list[[60]][[29]]\n", + "[1] 5.177413\n", + "\n", + "$MSE_list[[60]][[30]]\n", + "[1] 4.630874\n", + "\n", + "$MSE_list[[60]][[31]]\n", + "[1] 4.773505\n", + "\n", + "$MSE_list[[60]][[32]]\n", + "[1] 6.558045\n", + "\n", + "$MSE_list[[60]][[33]]\n", + "[1] 5.829142\n", + "\n", + "$MSE_list[[60]][[34]]\n", + "[1] 2.114867\n", + "\n", + "$MSE_list[[60]][[35]]\n", + "[1] 1.678682\n", + "\n", + "$MSE_list[[60]][[36]]\n", + "[1] 4.148725\n", + "\n", + "$MSE_list[[60]][[37]]\n", + "[1] 0.9784408\n", + "\n", + "$MSE_list[[60]][[38]]\n", + "[1] 8.032466\n", + "\n", + "$MSE_list[[60]][[39]]\n", + "[1] 2.380469\n", + "\n", + "$MSE_list[[60]][[40]]\n", + "[1] 4.75898\n", + "\n", + "$MSE_list[[60]][[41]]\n", + "[1] 1.150317\n", + "\n", + "$MSE_list[[60]][[42]]\n", + "[1] 7.101616\n", + "\n", + "$MSE_list[[60]][[43]]\n", + "[1] 2.738382\n", + "\n", + "$MSE_list[[60]][[44]]\n", + "[1] 1.22296\n", + "\n", + "$MSE_list[[60]][[45]]\n", + "[1] 11.48178\n", + "\n", + "$MSE_list[[60]][[46]]\n", + "[1] 4.361845\n", + "\n", + "$MSE_list[[60]][[47]]\n", + "[1] 8.001671\n", + "\n", + "$MSE_list[[60]][[48]]\n", + "[1] 1.34599\n", + "\n", + "$MSE_list[[60]][[49]]\n", + "[1] 3.400783\n", + "\n", + "$MSE_list[[60]][[50]]\n", + "[1] 3.912772\n", + "\n", + "$MSE_list[[60]][[51]]\n", + "[1] 4.768136\n", + "\n", + "$MSE_list[[60]][[52]]\n", + "[1] 7.90537\n", + "\n", + "$MSE_list[[60]][[53]]\n", + "[1] 4.495794\n", + "\n", + "$MSE_list[[60]][[54]]\n", + "[1] 5.274512\n", + "\n", + "$MSE_list[[60]][[55]]\n", + "[1] 3.568082\n", + "\n", + "$MSE_list[[60]][[56]]\n", + "[1] 7.664804\n", + "\n", + "$MSE_list[[60]][[57]]\n", + "[1] 0.9178837\n", + "\n", + "$MSE_list[[60]][[58]]\n", + "[1] 3.780253\n", + "\n", + "$MSE_list[[60]][[59]]\n", + "[1] 2.418111\n", + "\n", + "$MSE_list[[60]][[60]]\n", + "[1] 9.280214\n", + "\n", + "$MSE_list[[60]][[61]]\n", + "[1] 2.467327\n", + "\n", + "$MSE_list[[60]][[62]]\n", + "[1] 6.619372\n", + "\n", + "$MSE_list[[60]][[63]]\n", + "[1] 9.56424\n", + "\n", + "$MSE_list[[60]][[64]]\n", + "[1] 4.773579\n", + "\n", + "$MSE_list[[60]][[65]]\n", + "[1] 2.372603\n", + "\n", + "$MSE_list[[60]][[66]]\n", + "[1] 4.021538\n", + "\n", + "$MSE_list[[60]][[67]]\n", + "[1] 4.422689\n", + "\n", + "$MSE_list[[60]][[68]]\n", + "[1] 0.9839378\n", + "\n", + "$MSE_list[[60]][[69]]\n", + "[1] 6.489194\n", + "\n", + "$MSE_list[[60]][[70]]\n", + "[1] 3.364167\n", + "\n", + "$MSE_list[[60]][[71]]\n", + "[1] 4.354329\n", + "\n", + "$MSE_list[[60]][[72]]\n", + "[1] 3.868628\n", + "\n", + "$MSE_list[[60]][[73]]\n", + "[1] 5.55624\n", + "\n", + "$MSE_list[[60]][[74]]\n", + "[1] 2.702286\n", + "\n", + "$MSE_list[[60]][[75]]\n", + "[1] 3.121975\n", + "\n", + "$MSE_list[[60]][[76]]\n", + "[1] 2.57598\n", + "\n", + "$MSE_list[[60]][[77]]\n", + "[1] 8.239628\n", + "\n", + "$MSE_list[[60]][[78]]\n", + "[1] 3.27625\n", + "\n", + "$MSE_list[[60]][[79]]\n", + "[1] 2.995581\n", + "\n", + "$MSE_list[[60]][[80]]\n", + "[1] 3.800171\n", + "\n", + "$MSE_list[[60]][[81]]\n", + "[1] 9.716579\n", + "\n", + "$MSE_list[[60]][[82]]\n", + "[1] 3.938405\n", + "\n", + "$MSE_list[[60]][[83]]\n", + "[1] 11.06258\n", + "\n", + "$MSE_list[[60]][[84]]\n", + "[1] 4.374212\n", + "\n", + "$MSE_list[[60]][[85]]\n", + "[1] 4.372692\n", + "\n", + "$MSE_list[[60]][[86]]\n", + "[1] 8.469541\n", + "\n", + "$MSE_list[[60]][[87]]\n", + "[1] 8.449171\n", + "\n", + "$MSE_list[[60]][[88]]\n", + "[1] 5.701032\n", + "\n", + "$MSE_list[[60]][[89]]\n", + "[1] 5.50037\n", + "\n", + "$MSE_list[[60]][[90]]\n", + "[1] 1.994103\n", + "\n", + "$MSE_list[[60]][[91]]\n", + "[1] 2.042779\n", + "\n", + "$MSE_list[[60]][[92]]\n", + "[1] 5.37946\n", + "\n", + "$MSE_list[[60]][[93]]\n", + "[1] 7.300961\n", + "\n", + "$MSE_list[[60]][[94]]\n", + "[1] 8.704483\n", + "\n", + "$MSE_list[[60]][[95]]\n", + "[1] 1.652142\n", + "\n", + "$MSE_list[[60]][[96]]\n", + "[1] 3.930106\n", + "\n", + "$MSE_list[[60]][[97]]\n", + "[1] 9.685936\n", + "\n", + "$MSE_list[[60]][[98]]\n", + "[1] 5.524174\n", + "\n", + "$MSE_list[[60]][[99]]\n", + "[1] 2.419267\n", + "\n", + "$MSE_list[[60]][[100]]\n", + "[1] 3.983623\n", + "\n", + "\n", + "$MSE_list[[61]]\n", + "$MSE_list[[61]][[1]]\n", + "[1] 1.488275\n", + "\n", + "$MSE_list[[61]][[2]]\n", + "[1] 5.43634\n", + "\n", + "$MSE_list[[61]][[3]]\n", + "[1] 3.333337\n", + "\n", + "$MSE_list[[61]][[4]]\n", + "[1] 1.555974\n", + "\n", + "$MSE_list[[61]][[5]]\n", + "[1] 2.970705\n", + "\n", + "$MSE_list[[61]][[6]]\n", + "[1] 1.219597\n", + "\n", + "$MSE_list[[61]][[7]]\n", + "[1] 1.55315\n", + "\n", + "$MSE_list[[61]][[8]]\n", + "[1] 1.769178\n", + "\n", + "$MSE_list[[61]][[9]]\n", + "[1] 1.778286\n", + "\n", + "$MSE_list[[61]][[10]]\n", + "[1] 1.375286\n", + "\n", + "$MSE_list[[61]][[11]]\n", + "[1] 1.166621\n", + "\n", + "$MSE_list[[61]][[12]]\n", + "[1] 3.353121\n", + "\n", + "$MSE_list[[61]][[13]]\n", + "[1] 3.567417\n", + "\n", + "$MSE_list[[61]][[14]]\n", + "[1] 4.698847\n", + "\n", + "$MSE_list[[61]][[15]]\n", + "[1] 3.390157\n", + "\n", + "$MSE_list[[61]][[16]]\n", + "[1] 1.077292\n", + "\n", + "$MSE_list[[61]][[17]]\n", + "[1] 7.208019\n", + "\n", + "$MSE_list[[61]][[18]]\n", + "[1] 1.558031\n", + "\n", + "$MSE_list[[61]][[19]]\n", + "[1] 2.848936\n", + "\n", + "$MSE_list[[61]][[20]]\n", + "[1] 3.825472\n", + "\n", + "$MSE_list[[61]][[21]]\n", + "[1] 2.854084\n", + "\n", + "$MSE_list[[61]][[22]]\n", + "[1] 1.472797\n", + "\n", + "$MSE_list[[61]][[23]]\n", + "[1] 0.9749094\n", + "\n", + "$MSE_list[[61]][[24]]\n", + "[1] 1.82355\n", + "\n", + "$MSE_list[[61]][[25]]\n", + "[1] 1.160476\n", + "\n", + "$MSE_list[[61]][[26]]\n", + "[1] 1.011935\n", + "\n", + "$MSE_list[[61]][[27]]\n", + "[1] 1.081359\n", + "\n", + "$MSE_list[[61]][[28]]\n", + "[1] 1.084315\n", + "\n", + "$MSE_list[[61]][[29]]\n", + "[1] 2.550054\n", + "\n", + "$MSE_list[[61]][[30]]\n", + "[1] 2.915182\n", + "\n", + "$MSE_list[[61]][[31]]\n", + "[1] 1.728808\n", + "\n", + "$MSE_list[[61]][[32]]\n", + "[1] 3.532916\n", + "\n", + "$MSE_list[[61]][[33]]\n", + "[1] 4.411077\n", + "\n", + "$MSE_list[[61]][[34]]\n", + "[1] 2.438736\n", + "\n", + "$MSE_list[[61]][[35]]\n", + "[1] 3.181733\n", + "\n", + "$MSE_list[[61]][[36]]\n", + "[1] 2.508234\n", + "\n", + "$MSE_list[[61]][[37]]\n", + "[1] 1.931477\n", + "\n", + "$MSE_list[[61]][[38]]\n", + "[1] 0.8251962\n", + "\n", + "$MSE_list[[61]][[39]]\n", + "[1] 0.8523137\n", + "\n", + "$MSE_list[[61]][[40]]\n", + "[1] 3.112427\n", + "\n", + "$MSE_list[[61]][[41]]\n", + "[1] 0.9726201\n", + "\n", + "$MSE_list[[61]][[42]]\n", + "[1] 4.40257\n", + "\n", + "$MSE_list[[61]][[43]]\n", + "[1] 2.801293\n", + "\n", + "$MSE_list[[61]][[44]]\n", + "[1] 3.036511\n", + "\n", + "$MSE_list[[61]][[45]]\n", + "[1] 0.9491019\n", + "\n", + "$MSE_list[[61]][[46]]\n", + "[1] 1.173642\n", + "\n", + "$MSE_list[[61]][[47]]\n", + "[1] 1.044775\n", + "\n", + "$MSE_list[[61]][[48]]\n", + "[1] 1.369672\n", + "\n", + "$MSE_list[[61]][[49]]\n", + "[1] 2.415926\n", + "\n", + "$MSE_list[[61]][[50]]\n", + "[1] 1.602812\n", + "\n", + "$MSE_list[[61]][[51]]\n", + "[1] 3.313937\n", + "\n", + "$MSE_list[[61]][[52]]\n", + "[1] 2.068792\n", + "\n", + "$MSE_list[[61]][[53]]\n", + "[1] 1.881265\n", + "\n", + "$MSE_list[[61]][[54]]\n", + "[1] 1.851565\n", + "\n", + "$MSE_list[[61]][[55]]\n", + "[1] 0.7242431\n", + "\n", + "$MSE_list[[61]][[56]]\n", + "[1] 1.518456\n", + "\n", + "$MSE_list[[61]][[57]]\n", + "[1] 1.479339\n", + "\n", + "$MSE_list[[61]][[58]]\n", + "[1] 1.879252\n", + "\n", + "$MSE_list[[61]][[59]]\n", + "[1] 1.416925\n", + "\n", + "$MSE_list[[61]][[60]]\n", + "[1] 5.263149\n", + "\n", + "$MSE_list[[61]][[61]]\n", + "[1] 4.655667\n", + "\n", + "$MSE_list[[61]][[62]]\n", + "[1] 1.066304\n", + "\n", + "$MSE_list[[61]][[63]]\n", + "[1] 0.9476391\n", + "\n", + "$MSE_list[[61]][[64]]\n", + "[1] 1.995339\n", + "\n", + "$MSE_list[[61]][[65]]\n", + "[1] 4.235083\n", + "\n", + "$MSE_list[[61]][[66]]\n", + "[1] 1.852901\n", + "\n", + "$MSE_list[[61]][[67]]\n", + "[1] 1.813565\n", + "\n", + "$MSE_list[[61]][[68]]\n", + "[1] 1.585531\n", + "\n", + "$MSE_list[[61]][[69]]\n", + "[1] 1.671682\n", + "\n", + "$MSE_list[[61]][[70]]\n", + "[1] 1.193705\n", + "\n", + "$MSE_list[[61]][[71]]\n", + "[1] 1.04828\n", + "\n", + "$MSE_list[[61]][[72]]\n", + "[1] 0.9173495\n", + "\n", + "$MSE_list[[61]][[73]]\n", + "[1] 1.808082\n", + "\n", + "$MSE_list[[61]][[74]]\n", + "[1] 3.257345\n", + "\n", + "$MSE_list[[61]][[75]]\n", + "[1] 3.173878\n", + "\n", + "$MSE_list[[61]][[76]]\n", + "[1] 8.025094\n", + "\n", + "$MSE_list[[61]][[77]]\n", + "[1] 1.770562\n", + "\n", + "$MSE_list[[61]][[78]]\n", + "[1] 1.261467\n", + "\n", + "$MSE_list[[61]][[79]]\n", + "[1] 1.06988\n", + "\n", + "$MSE_list[[61]][[80]]\n", + "[1] 8.650558\n", + "\n", + "$MSE_list[[61]][[81]]\n", + "[1] 3.248105\n", + "\n", + "$MSE_list[[61]][[82]]\n", + "[1] 2.174371\n", + "\n", + "$MSE_list[[61]][[83]]\n", + "[1] 1.463497\n", + "\n", + "$MSE_list[[61]][[84]]\n", + "[1] 2.380273\n", + "\n", + "$MSE_list[[61]][[85]]\n", + "[1] 1.231879\n", + "\n", + "$MSE_list[[61]][[86]]\n", + "[1] 0.8264529\n", + "\n", + "$MSE_list[[61]][[87]]\n", + "[1] 3.731431\n", + "\n", + "$MSE_list[[61]][[88]]\n", + "[1] 2.660903\n", + "\n", + "$MSE_list[[61]][[89]]\n", + "[1] 3.603951\n", + "\n", + "$MSE_list[[61]][[90]]\n", + "[1] 0.8490885\n", + "\n", + "$MSE_list[[61]][[91]]\n", + "[1] 6.893334\n", + "\n", + "$MSE_list[[61]][[92]]\n", + "[1] 6.341609\n", + "\n", + "$MSE_list[[61]][[93]]\n", + "[1] 2.06631\n", + "\n", + "$MSE_list[[61]][[94]]\n", + "[1] 0.9221069\n", + "\n", + "$MSE_list[[61]][[95]]\n", + "[1] 1.26118\n", + "\n", + "$MSE_list[[61]][[96]]\n", + "[1] 1.654538\n", + "\n", + "$MSE_list[[61]][[97]]\n", + "[1] 1.067884\n", + "\n", + "$MSE_list[[61]][[98]]\n", + "[1] 1.779545\n", + "\n", + "$MSE_list[[61]][[99]]\n", + "[1] 2.729269\n", + "\n", + "$MSE_list[[61]][[100]]\n", + "[1] 1.832629\n", + "\n", + "\n", + "$MSE_list[[62]]\n", + "$MSE_list[[62]][[1]]\n", + "[1] 3.486613\n", + "\n", + "$MSE_list[[62]][[2]]\n", + "[1] 4.661267\n", + "\n", + "$MSE_list[[62]][[3]]\n", + "[1] 7.788009\n", + "\n", + "$MSE_list[[62]][[4]]\n", + "[1] 3.429866\n", + "\n", + "$MSE_list[[62]][[5]]\n", + "[1] 4.49669\n", + "\n", + "$MSE_list[[62]][[6]]\n", + "[1] 5.797916\n", + "\n", + "$MSE_list[[62]][[7]]\n", + "[1] 3.47161\n", + "\n", + "$MSE_list[[62]][[8]]\n", + "[1] 3.578383\n", + "\n", + "$MSE_list[[62]][[9]]\n", + "[1] 3.099209\n", + "\n", + "$MSE_list[[62]][[10]]\n", + "[1] 11.38346\n", + "\n", + "$MSE_list[[62]][[11]]\n", + "[1] 7.530939\n", + "\n", + "$MSE_list[[62]][[12]]\n", + "[1] 3.453035\n", + "\n", + "$MSE_list[[62]][[13]]\n", + "[1] 8.394722\n", + "\n", + "$MSE_list[[62]][[14]]\n", + "[1] 3.375084\n", + "\n", + "$MSE_list[[62]][[15]]\n", + "[1] 5.599423\n", + "\n", + "$MSE_list[[62]][[16]]\n", + "[1] 1.669187\n", + "\n", + "$MSE_list[[62]][[17]]\n", + "[1] 4.798253\n", + "\n", + "$MSE_list[[62]][[18]]\n", + "[1] 1.80308\n", + "\n", + "$MSE_list[[62]][[19]]\n", + "[1] 5.993891\n", + "\n", + "$MSE_list[[62]][[20]]\n", + "[1] 8.085235\n", + "\n", + "$MSE_list[[62]][[21]]\n", + "[1] 5.609734\n", + "\n", + "$MSE_list[[62]][[22]]\n", + "[1] 4.274404\n", + "\n", + "$MSE_list[[62]][[23]]\n", + "[1] 6.553576\n", + "\n", + "$MSE_list[[62]][[24]]\n", + "[1] 7.774058\n", + "\n", + "$MSE_list[[62]][[25]]\n", + "[1] 9.394098\n", + "\n", + "$MSE_list[[62]][[26]]\n", + "[1] 2.863536\n", + "\n", + "$MSE_list[[62]][[27]]\n", + "[1] 6.796393\n", + "\n", + "$MSE_list[[62]][[28]]\n", + "[1] 3.083357\n", + "\n", + "$MSE_list[[62]][[29]]\n", + "[1] 5.389785\n", + "\n", + "$MSE_list[[62]][[30]]\n", + "[1] 10.71127\n", + "\n", + "$MSE_list[[62]][[31]]\n", + "[1] 5.43881\n", + "\n", + "$MSE_list[[62]][[32]]\n", + "[1] 5.362222\n", + "\n", + "$MSE_list[[62]][[33]]\n", + "[1] 6.66051\n", + "\n", + "$MSE_list[[62]][[34]]\n", + "[1] 5.361688\n", + "\n", + "$MSE_list[[62]][[35]]\n", + "[1] 3.445734\n", + "\n", + "$MSE_list[[62]][[36]]\n", + "[1] 5.424975\n", + "\n", + "$MSE_list[[62]][[37]]\n", + "[1] 9.326166\n", + "\n", + "$MSE_list[[62]][[38]]\n", + "[1] 2.392504\n", + "\n", + "$MSE_list[[62]][[39]]\n", + "[1] 5.993628\n", + "\n", + "$MSE_list[[62]][[40]]\n", + "[1] 6.071459\n", + "\n", + "$MSE_list[[62]][[41]]\n", + "[1] 6.44614\n", + "\n", + "$MSE_list[[62]][[42]]\n", + "[1] 6.925298\n", + "\n", + "$MSE_list[[62]][[43]]\n", + "[1] 7.247239\n", + "\n", + "$MSE_list[[62]][[44]]\n", + "[1] 4.460711\n", + "\n", + "$MSE_list[[62]][[45]]\n", + "[1] 5.592982\n", + "\n", + "$MSE_list[[62]][[46]]\n", + "[1] 4.001549\n", + "\n", + "$MSE_list[[62]][[47]]\n", + "[1] 3.00218\n", + "\n", + "$MSE_list[[62]][[48]]\n", + "[1] 4.069738\n", + "\n", + "$MSE_list[[62]][[49]]\n", + "[1] 4.778401\n", + "\n", + "$MSE_list[[62]][[50]]\n", + "[1] 7.955973\n", + "\n", + "$MSE_list[[62]][[51]]\n", + "[1] 8.847792\n", + "\n", + "$MSE_list[[62]][[52]]\n", + "[1] 2.619924\n", + "\n", + "$MSE_list[[62]][[53]]\n", + "[1] 7.140547\n", + "\n", + "$MSE_list[[62]][[54]]\n", + "[1] 7.742485\n", + "\n", + "$MSE_list[[62]][[55]]\n", + "[1] 3.97906\n", + "\n", + "$MSE_list[[62]][[56]]\n", + "[1] 5.411157\n", + "\n", + "$MSE_list[[62]][[57]]\n", + "[1] 6.577036\n", + "\n", + "$MSE_list[[62]][[58]]\n", + "[1] 9.237577\n", + "\n", + "$MSE_list[[62]][[59]]\n", + "[1] 5.508688\n", + "\n", + "$MSE_list[[62]][[60]]\n", + "[1] 4.710928\n", + "\n", + "$MSE_list[[62]][[61]]\n", + "[1] 2.967938\n", + "\n", + "$MSE_list[[62]][[62]]\n", + "[1] 5.664097\n", + "\n", + "$MSE_list[[62]][[63]]\n", + "[1] 9.499427\n", + "\n", + "$MSE_list[[62]][[64]]\n", + "[1] 7.324558\n", + "\n", + "$MSE_list[[62]][[65]]\n", + "[1] 2.277364\n", + "\n", + "$MSE_list[[62]][[66]]\n", + "[1] 5.123925\n", + "\n", + "$MSE_list[[62]][[67]]\n", + "[1] 4.217113\n", + "\n", + "$MSE_list[[62]][[68]]\n", + "[1] 11.03733\n", + "\n", + "$MSE_list[[62]][[69]]\n", + "[1] 7.372111\n", + "\n", + "$MSE_list[[62]][[70]]\n", + "[1] 3.177879\n", + "\n", + "$MSE_list[[62]][[71]]\n", + "[1] 4.646928\n", + "\n", + "$MSE_list[[62]][[72]]\n", + "[1] 6.5738\n", + "\n", + "$MSE_list[[62]][[73]]\n", + "[1] 6.420909\n", + "\n", + "$MSE_list[[62]][[74]]\n", + "[1] 8.478322\n", + "\n", + "$MSE_list[[62]][[75]]\n", + "[1] 11.04278\n", + "\n", + "$MSE_list[[62]][[76]]\n", + "[1] 4.161432\n", + "\n", + "$MSE_list[[62]][[77]]\n", + "[1] 4.365897\n", + "\n", + "$MSE_list[[62]][[78]]\n", + "[1] 4.413177\n", + "\n", + "$MSE_list[[62]][[79]]\n", + "[1] 6.351964\n", + "\n", + "$MSE_list[[62]][[80]]\n", + "[1] 7.533951\n", + "\n", + "$MSE_list[[62]][[81]]\n", + "[1] 4.826456\n", + "\n", + "$MSE_list[[62]][[82]]\n", + "[1] 5.824143\n", + "\n", + "$MSE_list[[62]][[83]]\n", + "[1] 2.513588\n", + "\n", + "$MSE_list[[62]][[84]]\n", + "[1] 6.112232\n", + "\n", + "$MSE_list[[62]][[85]]\n", + "[1] 3.321604\n", + "\n", + "$MSE_list[[62]][[86]]\n", + "[1] 6.222829\n", + "\n", + "$MSE_list[[62]][[87]]\n", + "[1] 2.823275\n", + "\n", + "$MSE_list[[62]][[88]]\n", + "[1] 2.438478\n", + "\n", + "$MSE_list[[62]][[89]]\n", + "[1] 2.42412\n", + "\n", + "$MSE_list[[62]][[90]]\n", + "[1] 6.01672\n", + "\n", + "$MSE_list[[62]][[91]]\n", + "[1] 9.764494\n", + "\n", + "$MSE_list[[62]][[92]]\n", + "[1] 6.561172\n", + "\n", + "$MSE_list[[62]][[93]]\n", + "[1] 1.624621\n", + "\n", + "$MSE_list[[62]][[94]]\n", + "[1] 6.662669\n", + "\n", + "$MSE_list[[62]][[95]]\n", + "[1] 6.164602\n", + "\n", + "$MSE_list[[62]][[96]]\n", + "[1] 4.333698\n", + "\n", + "$MSE_list[[62]][[97]]\n", + "[1] 9.316329\n", + "\n", + "$MSE_list[[62]][[98]]\n", + "[1] 2.692364\n", + "\n", + "$MSE_list[[62]][[99]]\n", + "[1] 5.62214\n", + "\n", + "$MSE_list[[62]][[100]]\n", + "[1] 9.00333\n", + "\n", + "\n", + "$MSE_list[[63]]\n", + "$MSE_list[[63]][[1]]\n", + "[1] 5.821967\n", + "\n", + "$MSE_list[[63]][[2]]\n", + "[1] 6.344085\n", + "\n", + "$MSE_list[[63]][[3]]\n", + "[1] 7.922425\n", + "\n", + "$MSE_list[[63]][[4]]\n", + "[1] 5.855367\n", + "\n", + "$MSE_list[[63]][[5]]\n", + "[1] 8.355389\n", + "\n", + "$MSE_list[[63]][[6]]\n", + "[1] 5.620872\n", + "\n", + "$MSE_list[[63]][[7]]\n", + "[1] 6.229995\n", + "\n", + "$MSE_list[[63]][[8]]\n", + "[1] 4.30574\n", + "\n", + "$MSE_list[[63]][[9]]\n", + "[1] 9.533702\n", + "\n", + "$MSE_list[[63]][[10]]\n", + "[1] 3.529588\n", + "\n", + "$MSE_list[[63]][[11]]\n", + "[1] 7.51714\n", + "\n", + "$MSE_list[[63]][[12]]\n", + "[1] 4.212382\n", + "\n", + "$MSE_list[[63]][[13]]\n", + "[1] 3.63711\n", + "\n", + "$MSE_list[[63]][[14]]\n", + "[1] 8.312095\n", + "\n", + "$MSE_list[[63]][[15]]\n", + "[1] 1.967191\n", + "\n", + "$MSE_list[[63]][[16]]\n", + "[1] 5.798296\n", + "\n", + "$MSE_list[[63]][[17]]\n", + "[1] 5.611887\n", + "\n", + "$MSE_list[[63]][[18]]\n", + "[1] 4.693727\n", + "\n", + "$MSE_list[[63]][[19]]\n", + "[1] 2.096762\n", + "\n", + "$MSE_list[[63]][[20]]\n", + "[1] 6.307977\n", + "\n", + "$MSE_list[[63]][[21]]\n", + "[1] 5.433773\n", + "\n", + "$MSE_list[[63]][[22]]\n", + "[1] 5.595642\n", + "\n", + "$MSE_list[[63]][[23]]\n", + "[1] 5.831211\n", + "\n", + "$MSE_list[[63]][[24]]\n", + "[1] 0.9877832\n", + "\n", + "$MSE_list[[63]][[25]]\n", + "[1] 3.543646\n", + "\n", + "$MSE_list[[63]][[26]]\n", + "[1] 1.44659\n", + "\n", + "$MSE_list[[63]][[27]]\n", + "[1] 4.287857\n", + "\n", + "$MSE_list[[63]][[28]]\n", + "[1] 5.935886\n", + "\n", + "$MSE_list[[63]][[29]]\n", + "[1] 4.791594\n", + "\n", + "$MSE_list[[63]][[30]]\n", + "[1] 8.23783\n", + "\n", + "$MSE_list[[63]][[31]]\n", + "[1] 2.353204\n", + "\n", + "$MSE_list[[63]][[32]]\n", + "[1] 5.299493\n", + "\n", + "$MSE_list[[63]][[33]]\n", + "[1] 4.423338\n", + "\n", + "$MSE_list[[63]][[34]]\n", + "[1] 6.312345\n", + "\n", + "$MSE_list[[63]][[35]]\n", + "[1] 5.230619\n", + "\n", + "$MSE_list[[63]][[36]]\n", + "[1] 12.14656\n", + "\n", + "$MSE_list[[63]][[37]]\n", + "[1] 1.377445\n", + "\n", + "$MSE_list[[63]][[38]]\n", + "[1] 2.562683\n", + "\n", + "$MSE_list[[63]][[39]]\n", + "[1] 7.845851\n", + "\n", + "$MSE_list[[63]][[40]]\n", + "[1] 6.715134\n", + "\n", + "$MSE_list[[63]][[41]]\n", + "[1] 5.657784\n", + "\n", + "$MSE_list[[63]][[42]]\n", + "[1] 8.279597\n", + "\n", + "$MSE_list[[63]][[43]]\n", + "[1] 10.89391\n", + "\n", + "$MSE_list[[63]][[44]]\n", + "[1] 4.286052\n", + "\n", + "$MSE_list[[63]][[45]]\n", + "[1] 9.91261\n", + "\n", + "$MSE_list[[63]][[46]]\n", + "[1] 5.676302\n", + "\n", + "$MSE_list[[63]][[47]]\n", + "[1] 8.435742\n", + "\n", + "$MSE_list[[63]][[48]]\n", + "[1] 2.421623\n", + "\n", + "$MSE_list[[63]][[49]]\n", + "[1] 2.244567\n", + "\n", + "$MSE_list[[63]][[50]]\n", + "[1] 6.680615\n", + "\n", + "$MSE_list[[63]][[51]]\n", + "[1] 5.55792\n", + "\n", + "$MSE_list[[63]][[52]]\n", + "[1] 5.971664\n", + "\n", + "$MSE_list[[63]][[53]]\n", + "[1] 2.559972\n", + "\n", + "$MSE_list[[63]][[54]]\n", + "[1] 6.976608\n", + "\n", + "$MSE_list[[63]][[55]]\n", + "[1] 3.303642\n", + "\n", + "$MSE_list[[63]][[56]]\n", + "[1] 5.409667\n", + "\n", + "$MSE_list[[63]][[57]]\n", + "[1] 6.273697\n", + "\n", + "$MSE_list[[63]][[58]]\n", + "[1] 1.615462\n", + "\n", + "$MSE_list[[63]][[59]]\n", + "[1] 4.598214\n", + "\n", + "$MSE_list[[63]][[60]]\n", + "[1] 5.384776\n", + "\n", + "$MSE_list[[63]][[61]]\n", + "[1] 2.237018\n", + "\n", + "$MSE_list[[63]][[62]]\n", + "[1] 11.82978\n", + "\n", + "$MSE_list[[63]][[63]]\n", + "[1] 4.696879\n", + "\n", + "$MSE_list[[63]][[64]]\n", + "[1] 7.446081\n", + "\n", + "$MSE_list[[63]][[65]]\n", + "[1] 4.268577\n", + "\n", + "$MSE_list[[63]][[66]]\n", + "[1] 6.885275\n", + "\n", + "$MSE_list[[63]][[67]]\n", + "[1] 3.699503\n", + "\n", + "$MSE_list[[63]][[68]]\n", + "[1] 5.09522\n", + "\n", + "$MSE_list[[63]][[69]]\n", + "[1] 2.693113\n", + "\n", + "$MSE_list[[63]][[70]]\n", + "[1] 4.71536\n", + "\n", + "$MSE_list[[63]][[71]]\n", + "[1] 6.116611\n", + "\n", + "$MSE_list[[63]][[72]]\n", + "[1] 9.545532\n", + "\n", + "$MSE_list[[63]][[73]]\n", + "[1] 3.481096\n", + "\n", + "$MSE_list[[63]][[74]]\n", + "[1] 4.722017\n", + "\n", + "$MSE_list[[63]][[75]]\n", + "[1] 6.919999\n", + "\n", + "$MSE_list[[63]][[76]]\n", + "[1] 11.15443\n", + "\n", + "$MSE_list[[63]][[77]]\n", + "[1] 2.542244\n", + "\n", + "$MSE_list[[63]][[78]]\n", + "[1] 3.430394\n", + "\n", + "$MSE_list[[63]][[79]]\n", + "[1] 3.434047\n", + "\n", + "$MSE_list[[63]][[80]]\n", + "[1] 3.433893\n", + "\n", + "$MSE_list[[63]][[81]]\n", + "[1] 3.833026\n", + "\n", + "$MSE_list[[63]][[82]]\n", + "[1] 4.326852\n", + "\n", + "$MSE_list[[63]][[83]]\n", + "[1] 5.17079\n", + "\n", + "$MSE_list[[63]][[84]]\n", + "[1] 3.646351\n", + "\n", + "$MSE_list[[63]][[85]]\n", + "[1] 4.348787\n", + "\n", + "$MSE_list[[63]][[86]]\n", + "[1] 4.762285\n", + "\n", + "$MSE_list[[63]][[87]]\n", + "[1] 1.66542\n", + "\n", + "$MSE_list[[63]][[88]]\n", + "[1] 4.808549\n", + "\n", + "$MSE_list[[63]][[89]]\n", + "[1] 4.741102\n", + "\n", + "$MSE_list[[63]][[90]]\n", + "[1] 4.769445\n", + "\n", + "$MSE_list[[63]][[91]]\n", + "[1] 6.70866\n", + "\n", + "$MSE_list[[63]][[92]]\n", + "[1] 4.905018\n", + "\n", + "$MSE_list[[63]][[93]]\n", + "[1] 4.564642\n", + "\n", + "$MSE_list[[63]][[94]]\n", + "[1] 4.021546\n", + "\n", + "$MSE_list[[63]][[95]]\n", + "[1] 7.041861\n", + "\n", + "$MSE_list[[63]][[96]]\n", + "[1] 5.44379\n", + "\n", + "$MSE_list[[63]][[97]]\n", + "[1] 2.855262\n", + "\n", + "$MSE_list[[63]][[98]]\n", + "[1] 6.158582\n", + "\n", + "$MSE_list[[63]][[99]]\n", + "[1] 6.214096\n", + "\n", + "$MSE_list[[63]][[100]]\n", + "[1] 8.621628\n", + "\n", + "\n", + "$MSE_list[[64]]\n", + "$MSE_list[[64]][[1]]\n", + "[1] 6.572552\n", + "\n", + "$MSE_list[[64]][[2]]\n", + "[1] 5.701814\n", + "\n", + "$MSE_list[[64]][[3]]\n", + "[1] 4.023008\n", + "\n", + "$MSE_list[[64]][[4]]\n", + "[1] 3.409107\n", + "\n", + "$MSE_list[[64]][[5]]\n", + "[1] 6.04009\n", + "\n", + "$MSE_list[[64]][[6]]\n", + "[1] 2.066331\n", + "\n", + "$MSE_list[[64]][[7]]\n", + "[1] 4.680074\n", + "\n", + "$MSE_list[[64]][[8]]\n", + "[1] 7.760379\n", + "\n", + "$MSE_list[[64]][[9]]\n", + "[1] 4.953232\n", + "\n", + "$MSE_list[[64]][[10]]\n", + "[1] 1.435608\n", + "\n", + "$MSE_list[[64]][[11]]\n", + "[1] 6.359952\n", + "\n", + "$MSE_list[[64]][[12]]\n", + "[1] 5.899144\n", + "\n", + "$MSE_list[[64]][[13]]\n", + "[1] 1.602493\n", + "\n", + "$MSE_list[[64]][[14]]\n", + "[1] 4.188832\n", + "\n", + "$MSE_list[[64]][[15]]\n", + "[1] 1.489917\n", + "\n", + "$MSE_list[[64]][[16]]\n", + "[1] 2.004327\n", + "\n", + "$MSE_list[[64]][[17]]\n", + "[1] 5.241176\n", + "\n", + "$MSE_list[[64]][[18]]\n", + "[1] 0.6441303\n", + "\n", + "$MSE_list[[64]][[19]]\n", + "[1] 4.820903\n", + "\n", + "$MSE_list[[64]][[20]]\n", + "[1] 1.518119\n", + "\n", + "$MSE_list[[64]][[21]]\n", + "[1] 5.742182\n", + "\n", + "$MSE_list[[64]][[22]]\n", + "[1] 4.560383\n", + "\n", + "$MSE_list[[64]][[23]]\n", + "[1] 4.221913\n", + "\n", + "$MSE_list[[64]][[24]]\n", + "[1] 5.69963\n", + "\n", + "$MSE_list[[64]][[25]]\n", + "[1] 4.338358\n", + "\n", + "$MSE_list[[64]][[26]]\n", + "[1] 1.84689\n", + "\n", + "$MSE_list[[64]][[27]]\n", + "[1] 6.510779\n", + "\n", + "$MSE_list[[64]][[28]]\n", + "[1] 1.87966\n", + "\n", + "$MSE_list[[64]][[29]]\n", + "[1] 5.256345\n", + "\n", + "$MSE_list[[64]][[30]]\n", + "[1] 7.909521\n", + "\n", + "$MSE_list[[64]][[31]]\n", + "[1] 1.193154\n", + "\n", + "$MSE_list[[64]][[32]]\n", + "[1] 7.043153\n", + "\n", + "$MSE_list[[64]][[33]]\n", + "[1] 5.259535\n", + "\n", + "$MSE_list[[64]][[34]]\n", + "[1] 5.745247\n", + "\n", + "$MSE_list[[64]][[35]]\n", + "[1] 3.049156\n", + "\n", + "$MSE_list[[64]][[36]]\n", + "[1] 3.574931\n", + "\n", + "$MSE_list[[64]][[37]]\n", + "[1] 4.420045\n", + "\n", + "$MSE_list[[64]][[38]]\n", + "[1] 9.1258\n", + "\n", + "$MSE_list[[64]][[39]]\n", + "[1] 10.43108\n", + "\n", + "$MSE_list[[64]][[40]]\n", + "[1] 2.352175\n", + "\n", + "$MSE_list[[64]][[41]]\n", + "[1] 5.207892\n", + "\n", + "$MSE_list[[64]][[42]]\n", + "[1] 3.602475\n", + "\n", + "$MSE_list[[64]][[43]]\n", + "[1] 1.537349\n", + "\n", + "$MSE_list[[64]][[44]]\n", + "[1] 4.319856\n", + "\n", + "$MSE_list[[64]][[45]]\n", + "[1] 4.875587\n", + "\n", + "$MSE_list[[64]][[46]]\n", + "[1] 2.962355\n", + "\n", + "$MSE_list[[64]][[47]]\n", + "[1] 2.856128\n", + "\n", + "$MSE_list[[64]][[48]]\n", + "[1] 3.189044\n", + "\n", + "$MSE_list[[64]][[49]]\n", + "[1] 6.115088\n", + "\n", + "$MSE_list[[64]][[50]]\n", + "[1] 1.551794\n", + "\n", + "$MSE_list[[64]][[51]]\n", + "[1] 5.705891\n", + "\n", + "$MSE_list[[64]][[52]]\n", + "[1] 9.00927\n", + "\n", + "$MSE_list[[64]][[53]]\n", + "[1] 5.282563\n", + "\n", + "$MSE_list[[64]][[54]]\n", + "[1] 10.23217\n", + "\n", + "$MSE_list[[64]][[55]]\n", + "[1] 4.807271\n", + "\n", + "$MSE_list[[64]][[56]]\n", + "[1] 3.786756\n", + "\n", + "$MSE_list[[64]][[57]]\n", + "[1] 4.141504\n", + "\n", + "$MSE_list[[64]][[58]]\n", + "[1] 1.737003\n", + "\n", + "$MSE_list[[64]][[59]]\n", + "[1] 3.32681\n", + "\n", + "$MSE_list[[64]][[60]]\n", + "[1] 1.657469\n", + "\n", + "$MSE_list[[64]][[61]]\n", + "[1] 2.186996\n", + "\n", + "$MSE_list[[64]][[62]]\n", + "[1] 4.179108\n", + "\n", + "$MSE_list[[64]][[63]]\n", + "[1] 3.546378\n", + "\n", + "$MSE_list[[64]][[64]]\n", + "[1] 6.577618\n", + "\n", + "$MSE_list[[64]][[65]]\n", + "[1] 8.492947\n", + "\n", + "$MSE_list[[64]][[66]]\n", + "[1] 3.647595\n", + "\n", + "$MSE_list[[64]][[67]]\n", + "[1] 2.358802\n", + "\n", + "$MSE_list[[64]][[68]]\n", + "[1] 1.704967\n", + "\n", + "$MSE_list[[64]][[69]]\n", + "[1] 3.08732\n", + "\n", + "$MSE_list[[64]][[70]]\n", + "[1] 2.348432\n", + "\n", + "$MSE_list[[64]][[71]]\n", + "[1] 4.429886\n", + "\n", + "$MSE_list[[64]][[72]]\n", + "[1] 5.345682\n", + "\n", + "$MSE_list[[64]][[73]]\n", + "[1] 6.799562\n", + "\n", + "$MSE_list[[64]][[74]]\n", + "[1] 5.242034\n", + "\n", + "$MSE_list[[64]][[75]]\n", + "[1] 3.777655\n", + "\n", + "$MSE_list[[64]][[76]]\n", + "[1] 4.538628\n", + "\n", + "$MSE_list[[64]][[77]]\n", + "[1] 4.441888\n", + "\n", + "$MSE_list[[64]][[78]]\n", + "[1] 3.02994\n", + "\n", + "$MSE_list[[64]][[79]]\n", + "[1] 1.658951\n", + "\n", + "$MSE_list[[64]][[80]]\n", + "[1] 2.614547\n", + "\n", + "$MSE_list[[64]][[81]]\n", + "[1] 5.280941\n", + "\n", + "$MSE_list[[64]][[82]]\n", + "[1] 1.423504\n", + "\n", + "$MSE_list[[64]][[83]]\n", + "[1] 3.788084\n", + "\n", + "$MSE_list[[64]][[84]]\n", + "[1] 1.035221\n", + "\n", + "$MSE_list[[64]][[85]]\n", + "[1] 3.310143\n", + "\n", + "$MSE_list[[64]][[86]]\n", + "[1] 1.047306\n", + "\n", + "$MSE_list[[64]][[87]]\n", + "[1] 2.015868\n", + "\n", + "$MSE_list[[64]][[88]]\n", + "[1] 1.911094\n", + "\n", + "$MSE_list[[64]][[89]]\n", + "[1] 2.654478\n", + "\n", + "$MSE_list[[64]][[90]]\n", + "[1] 4.863713\n", + "\n", + "$MSE_list[[64]][[91]]\n", + "[1] 4.461797\n", + "\n", + "$MSE_list[[64]][[92]]\n", + "[1] 1.439142\n", + "\n", + "$MSE_list[[64]][[93]]\n", + "[1] 5.484445\n", + "\n", + "$MSE_list[[64]][[94]]\n", + "[1] 5.7753\n", + "\n", + "$MSE_list[[64]][[95]]\n", + "[1] 1.133502\n", + "\n", + "$MSE_list[[64]][[96]]\n", + "[1] 3.240554\n", + "\n", + "$MSE_list[[64]][[97]]\n", + "[1] 0.6099332\n", + "\n", + "$MSE_list[[64]][[98]]\n", + "[1] 10.44064\n", + "\n", + "$MSE_list[[64]][[99]]\n", + "[1] 4.842266\n", + "\n", + "$MSE_list[[64]][[100]]\n", + "[1] 3.251068\n", + "\n", + "\n", + "$MSE_list[[65]]\n", + "$MSE_list[[65]][[1]]\n", + "[1] 4.447515\n", + "\n", + "$MSE_list[[65]][[2]]\n", + "[1] 3.149422\n", + "\n", + "$MSE_list[[65]][[3]]\n", + "[1] 7.283441\n", + "\n", + "$MSE_list[[65]][[4]]\n", + "[1] 3.778719\n", + "\n", + "$MSE_list[[65]][[5]]\n", + "[1] 5.874219\n", + "\n", + "$MSE_list[[65]][[6]]\n", + "[1] 1.33392\n", + "\n", + "$MSE_list[[65]][[7]]\n", + "[1] 8.677649\n", + "\n", + "$MSE_list[[65]][[8]]\n", + "[1] 4.486023\n", + "\n", + "$MSE_list[[65]][[9]]\n", + "[1] 4.833303\n", + "\n", + "$MSE_list[[65]][[10]]\n", + "[1] 4.543828\n", + "\n", + "$MSE_list[[65]][[11]]\n", + "[1] 4.754572\n", + "\n", + "$MSE_list[[65]][[12]]\n", + "[1] 2.619316\n", + "\n", + "$MSE_list[[65]][[13]]\n", + "[1] 1.944999\n", + "\n", + "$MSE_list[[65]][[14]]\n", + "[1] 2.793111\n", + "\n", + "$MSE_list[[65]][[15]]\n", + "[1] 2.397787\n", + "\n", + "$MSE_list[[65]][[16]]\n", + "[1] 3.288209\n", + "\n", + "$MSE_list[[65]][[17]]\n", + "[1] 5.347411\n", + "\n", + "$MSE_list[[65]][[18]]\n", + "[1] 6.119615\n", + "\n", + "$MSE_list[[65]][[19]]\n", + "[1] 8.349325\n", + "\n", + "$MSE_list[[65]][[20]]\n", + "[1] 0.5300764\n", + "\n", + "$MSE_list[[65]][[21]]\n", + "[1] 1.504179\n", + "\n", + "$MSE_list[[65]][[22]]\n", + "[1] 2.422407\n", + "\n", + "$MSE_list[[65]][[23]]\n", + "[1] 1.481825\n", + "\n", + "$MSE_list[[65]][[24]]\n", + "[1] 5.696733\n", + "\n", + "$MSE_list[[65]][[25]]\n", + "[1] 2.33099\n", + "\n", + "$MSE_list[[65]][[26]]\n", + "[1] 4.659884\n", + "\n", + "$MSE_list[[65]][[27]]\n", + "[1] 4.274426\n", + "\n", + "$MSE_list[[65]][[28]]\n", + "[1] 4.413018\n", + "\n", + "$MSE_list[[65]][[29]]\n", + "[1] 3.279238\n", + "\n", + "$MSE_list[[65]][[30]]\n", + "[1] 5.177537\n", + "\n", + "$MSE_list[[65]][[31]]\n", + "[1] 4.270904\n", + "\n", + "$MSE_list[[65]][[32]]\n", + "[1] 6.742738\n", + "\n", + "$MSE_list[[65]][[33]]\n", + "[1] 4.069016\n", + "\n", + "$MSE_list[[65]][[34]]\n", + "[1] 10.28904\n", + "\n", + "$MSE_list[[65]][[35]]\n", + "[1] 4.104541\n", + "\n", + "$MSE_list[[65]][[36]]\n", + "[1] 4.782415\n", + "\n", + "$MSE_list[[65]][[37]]\n", + "[1] 1.387843\n", + "\n", + "$MSE_list[[65]][[38]]\n", + "[1] 4.175415\n", + "\n", + "$MSE_list[[65]][[39]]\n", + "[1] 1.96969\n", + "\n", + "$MSE_list[[65]][[40]]\n", + "[1] 7.011833\n", + "\n", + "$MSE_list[[65]][[41]]\n", + "[1] 1.26189\n", + "\n", + "$MSE_list[[65]][[42]]\n", + "[1] 4.00184\n", + "\n", + "$MSE_list[[65]][[43]]\n", + "[1] 6.140247\n", + "\n", + "$MSE_list[[65]][[44]]\n", + "[1] 5.966139\n", + "\n", + "$MSE_list[[65]][[45]]\n", + "[1] 3.331498\n", + "\n", + "$MSE_list[[65]][[46]]\n", + "[1] 2.267134\n", + "\n", + "$MSE_list[[65]][[47]]\n", + "[1] 5.198766\n", + "\n", + "$MSE_list[[65]][[48]]\n", + "[1] 4.978548\n", + "\n", + "$MSE_list[[65]][[49]]\n", + "[1] 3.484085\n", + "\n", + "$MSE_list[[65]][[50]]\n", + "[1] 4.349232\n", + "\n", + "$MSE_list[[65]][[51]]\n", + "[1] 0.8252965\n", + "\n", + "$MSE_list[[65]][[52]]\n", + "[1] 8.525189\n", + "\n", + "$MSE_list[[65]][[53]]\n", + "[1] 5.873299\n", + "\n", + "$MSE_list[[65]][[54]]\n", + "[1] 1.461834\n", + "\n", + "$MSE_list[[65]][[55]]\n", + "[1] 0.9219126\n", + "\n", + "$MSE_list[[65]][[56]]\n", + "[1] 4.741022\n", + "\n", + "$MSE_list[[65]][[57]]\n", + "[1] 6.803172\n", + "\n", + "$MSE_list[[65]][[58]]\n", + "[1] 5.531052\n", + "\n", + "$MSE_list[[65]][[59]]\n", + "[1] 2.673055\n", + "\n", + "$MSE_list[[65]][[60]]\n", + "[1] 4.244637\n", + "\n", + "$MSE_list[[65]][[61]]\n", + "[1] 4.92124\n", + "\n", + "$MSE_list[[65]][[62]]\n", + "[1] 3.224523\n", + "\n", + "$MSE_list[[65]][[63]]\n", + "[1] 9.546599\n", + "\n", + "$MSE_list[[65]][[64]]\n", + "[1] 3.434197\n", + "\n", + "$MSE_list[[65]][[65]]\n", + "[1] 5.279241\n", + "\n", + "$MSE_list[[65]][[66]]\n", + "[1] 1.410903\n", + "\n", + "$MSE_list[[65]][[67]]\n", + "[1] 1.560416\n", + "\n", + "$MSE_list[[65]][[68]]\n", + "[1] 2.127541\n", + "\n", + "$MSE_list[[65]][[69]]\n", + "[1] 1.435507\n", + "\n", + "$MSE_list[[65]][[70]]\n", + "[1] 2.010325\n", + "\n", + "$MSE_list[[65]][[71]]\n", + "[1] 2.397439\n", + "\n", + "$MSE_list[[65]][[72]]\n", + "[1] 3.40527\n", + "\n", + "$MSE_list[[65]][[73]]\n", + "[1] 4.539895\n", + "\n", + "$MSE_list[[65]][[74]]\n", + "[1] 4.582585\n", + "\n", + "$MSE_list[[65]][[75]]\n", + "[1] 4.110943\n", + "\n", + "$MSE_list[[65]][[76]]\n", + "[1] 5.679861\n", + "\n", + "$MSE_list[[65]][[77]]\n", + "[1] 5.30438\n", + "\n", + "$MSE_list[[65]][[78]]\n", + "[1] 1.567305\n", + "\n", + "$MSE_list[[65]][[79]]\n", + "[1] 2.273459\n", + "\n", + "$MSE_list[[65]][[80]]\n", + "[1] 5.167135\n", + "\n", + "$MSE_list[[65]][[81]]\n", + "[1] 2.414658\n", + "\n", + "$MSE_list[[65]][[82]]\n", + "[1] 4.820972\n", + "\n", + "$MSE_list[[65]][[83]]\n", + "[1] 2.479913\n", + "\n", + "$MSE_list[[65]][[84]]\n", + "[1] 2.245317\n", + "\n", + "$MSE_list[[65]][[85]]\n", + "[1] 4.725702\n", + "\n", + "$MSE_list[[65]][[86]]\n", + "[1] 5.437919\n", + "\n", + "$MSE_list[[65]][[87]]\n", + "[1] 3.232823\n", + "\n", + "$MSE_list[[65]][[88]]\n", + "[1] 3.928492\n", + "\n", + "$MSE_list[[65]][[89]]\n", + "[1] 1.78888\n", + "\n", + "$MSE_list[[65]][[90]]\n", + "[1] 6.85362\n", + "\n", + "$MSE_list[[65]][[91]]\n", + "[1] 1.993483\n", + "\n", + "$MSE_list[[65]][[92]]\n", + "[1] 4.027197\n", + "\n", + "$MSE_list[[65]][[93]]\n", + "[1] 5.152496\n", + "\n", + "$MSE_list[[65]][[94]]\n", + "[1] 3.004391\n", + "\n", + "$MSE_list[[65]][[95]]\n", + "[1] 4.598603\n", + "\n", + "$MSE_list[[65]][[96]]\n", + "[1] 4.251133\n", + "\n", + "$MSE_list[[65]][[97]]\n", + "[1] 3.852899\n", + "\n", + "$MSE_list[[65]][[98]]\n", + "[1] 4.40966\n", + "\n", + "$MSE_list[[65]][[99]]\n", + "[1] 6.434953\n", + "\n", + "$MSE_list[[65]][[100]]\n", + "[1] 2.496864\n", + "\n", + "\n", + "$MSE_list[[66]]\n", + "$MSE_list[[66]][[1]]\n", + "[1] 1.513754\n", + "\n", + "$MSE_list[[66]][[2]]\n", + "[1] 4.477531\n", + "\n", + "$MSE_list[[66]][[3]]\n", + "[1] 4.146147\n", + "\n", + "$MSE_list[[66]][[4]]\n", + "[1] 2.075175\n", + "\n", + "$MSE_list[[66]][[5]]\n", + "[1] 5.539248\n", + "\n", + "$MSE_list[[66]][[6]]\n", + "[1] 3.692688\n", + "\n", + "$MSE_list[[66]][[7]]\n", + "[1] 3.653187\n", + "\n", + "$MSE_list[[66]][[8]]\n", + "[1] 1.429073\n", + "\n", + "$MSE_list[[66]][[9]]\n", + "[1] 3.759156\n", + "\n", + "$MSE_list[[66]][[10]]\n", + "[1] 4.184857\n", + "\n", + "$MSE_list[[66]][[11]]\n", + "[1] 3.045341\n", + "\n", + "$MSE_list[[66]][[12]]\n", + "[1] 4.396689\n", + "\n", + "$MSE_list[[66]][[13]]\n", + "[1] 4.416813\n", + "\n", + "$MSE_list[[66]][[14]]\n", + "[1] 3.222871\n", + "\n", + "$MSE_list[[66]][[15]]\n", + "[1] 5.84468\n", + "\n", + "$MSE_list[[66]][[16]]\n", + "[1] 2.036795\n", + "\n", + "$MSE_list[[66]][[17]]\n", + "[1] 8.173235\n", + "\n", + "$MSE_list[[66]][[18]]\n", + "[1] 9.347282\n", + "\n", + "$MSE_list[[66]][[19]]\n", + "[1] 2.836217\n", + "\n", + "$MSE_list[[66]][[20]]\n", + "[1] 5.793731\n", + "\n", + "$MSE_list[[66]][[21]]\n", + "[1] 6.637672\n", + "\n", + "$MSE_list[[66]][[22]]\n", + "[1] 2.846662\n", + "\n", + "$MSE_list[[66]][[23]]\n", + "[1] 2.259048\n", + "\n", + "$MSE_list[[66]][[24]]\n", + "[1] 1.877989\n", + "\n", + "$MSE_list[[66]][[25]]\n", + "[1] 4.273567\n", + "\n", + "$MSE_list[[66]][[26]]\n", + "[1] 5.438041\n", + "\n", + "$MSE_list[[66]][[27]]\n", + "[1] 4.158543\n", + "\n", + "$MSE_list[[66]][[28]]\n", + "[1] 2.011442\n", + "\n", + "$MSE_list[[66]][[29]]\n", + "[1] 1.098168\n", + "\n", + "$MSE_list[[66]][[30]]\n", + "[1] 5.674373\n", + "\n", + "$MSE_list[[66]][[31]]\n", + "[1] 2.932845\n", + "\n", + "$MSE_list[[66]][[32]]\n", + "[1] 4.393416\n", + "\n", + "$MSE_list[[66]][[33]]\n", + "[1] 4.321955\n", + "\n", + "$MSE_list[[66]][[34]]\n", + "[1] 5.555396\n", + "\n", + "$MSE_list[[66]][[35]]\n", + "[1] 1.914893\n", + "\n", + "$MSE_list[[66]][[36]]\n", + "[1] 2.386357\n", + "\n", + "$MSE_list[[66]][[37]]\n", + "[1] 4.983486\n", + "\n", + "$MSE_list[[66]][[38]]\n", + "[1] 2.401756\n", + "\n", + "$MSE_list[[66]][[39]]\n", + "[1] 1.812743\n", + "\n", + "$MSE_list[[66]][[40]]\n", + "[1] 3.173109\n", + "\n", + "$MSE_list[[66]][[41]]\n", + "[1] 1.623516\n", + "\n", + "$MSE_list[[66]][[42]]\n", + "[1] 4.117514\n", + "\n", + "$MSE_list[[66]][[43]]\n", + "[1] 8.154333\n", + "\n", + "$MSE_list[[66]][[44]]\n", + "[1] 2.566485\n", + "\n", + "$MSE_list[[66]][[45]]\n", + "[1] 6.306812\n", + "\n", + "$MSE_list[[66]][[46]]\n", + "[1] 8.13532\n", + "\n", + "$MSE_list[[66]][[47]]\n", + "[1] 2.316885\n", + "\n", + "$MSE_list[[66]][[48]]\n", + "[1] 4.995917\n", + "\n", + "$MSE_list[[66]][[49]]\n", + "[1] 4.92607\n", + "\n", + "$MSE_list[[66]][[50]]\n", + "[1] 1.427248\n", + "\n", + "$MSE_list[[66]][[51]]\n", + "[1] 3.873549\n", + "\n", + "$MSE_list[[66]][[52]]\n", + "[1] 8.365621\n", + "\n", + "$MSE_list[[66]][[53]]\n", + "[1] 4.087506\n", + "\n", + "$MSE_list[[66]][[54]]\n", + "[1] 2.493942\n", + "\n", + "$MSE_list[[66]][[55]]\n", + "[1] 0.8553232\n", + "\n", + "$MSE_list[[66]][[56]]\n", + "[1] 5.150012\n", + "\n", + "$MSE_list[[66]][[57]]\n", + "[1] 2.619005\n", + "\n", + "$MSE_list[[66]][[58]]\n", + "[1] 3.103362\n", + "\n", + "$MSE_list[[66]][[59]]\n", + "[1] 1.791962\n", + "\n", + "$MSE_list[[66]][[60]]\n", + "[1] 1.620199\n", + "\n", + "$MSE_list[[66]][[61]]\n", + "[1] 3.072729\n", + "\n", + "$MSE_list[[66]][[62]]\n", + "[1] 2.30194\n", + "\n", + "$MSE_list[[66]][[63]]\n", + "[1] 3.92164\n", + "\n", + "$MSE_list[[66]][[64]]\n", + "[1] 2.83159\n", + "\n", + "$MSE_list[[66]][[65]]\n", + "[1] 5.590525\n", + "\n", + "$MSE_list[[66]][[66]]\n", + "[1] 1.96796\n", + "\n", + "$MSE_list[[66]][[67]]\n", + "[1] 3.524389\n", + "\n", + "$MSE_list[[66]][[68]]\n", + "[1] 3.402914\n", + "\n", + "$MSE_list[[66]][[69]]\n", + "[1] 11.15761\n", + "\n", + "$MSE_list[[66]][[70]]\n", + "[1] 5.82513\n", + "\n", + "$MSE_list[[66]][[71]]\n", + "[1] 1.853499\n", + "\n", + "$MSE_list[[66]][[72]]\n", + "[1] 5.780285\n", + "\n", + "$MSE_list[[66]][[73]]\n", + "[1] 5.763761\n", + "\n", + "$MSE_list[[66]][[74]]\n", + "[1] 2.19013\n", + "\n", + "$MSE_list[[66]][[75]]\n", + "[1] 2.800004\n", + "\n", + "$MSE_list[[66]][[76]]\n", + "[1] 2.638746\n", + "\n", + "$MSE_list[[66]][[77]]\n", + "[1] 4.04071\n", + "\n", + "$MSE_list[[66]][[78]]\n", + "[1] 6.209453\n", + "\n", + "$MSE_list[[66]][[79]]\n", + "[1] 3.617434\n", + "\n", + "$MSE_list[[66]][[80]]\n", + "[1] 3.793006\n", + "\n", + "$MSE_list[[66]][[81]]\n", + "[1] 4.405702\n", + "\n", + "$MSE_list[[66]][[82]]\n", + "[1] 4.403736\n", + "\n", + "$MSE_list[[66]][[83]]\n", + "[1] 3.186388\n", + "\n", + "$MSE_list[[66]][[84]]\n", + "[1] 3.493952\n", + "\n", + "$MSE_list[[66]][[85]]\n", + "[1] 3.837106\n", + "\n", + "$MSE_list[[66]][[86]]\n", + "[1] 3.438757\n", + "\n", + "$MSE_list[[66]][[87]]\n", + "[1] 7.07787\n", + "\n", + "$MSE_list[[66]][[88]]\n", + "[1] 4.051182\n", + "\n", + "$MSE_list[[66]][[89]]\n", + "[1] 4.992446\n", + "\n", + "$MSE_list[[66]][[90]]\n", + "[1] 1.235265\n", + "\n", + "$MSE_list[[66]][[91]]\n", + "[1] 8.11538\n", + "\n", + "$MSE_list[[66]][[92]]\n", + "[1] 6.144038\n", + "\n", + "$MSE_list[[66]][[93]]\n", + "[1] 1.263019\n", + "\n", + "$MSE_list[[66]][[94]]\n", + "[1] 5.046729\n", + "\n", + "$MSE_list[[66]][[95]]\n", + "[1] 1.977642\n", + "\n", + "$MSE_list[[66]][[96]]\n", + "[1] 2.551347\n", + "\n", + "$MSE_list[[66]][[97]]\n", + "[1] 2.120535\n", + "\n", + "$MSE_list[[66]][[98]]\n", + "[1] 4.67736\n", + "\n", + "$MSE_list[[66]][[99]]\n", + "[1] 4.914445\n", + "\n", + "$MSE_list[[66]][[100]]\n", + "[1] 5.631167\n", + "\n", + "\n", + "$MSE_list[[67]]\n", + "$MSE_list[[67]][[1]]\n", + "[1] 0.7985502\n", + "\n", + "$MSE_list[[67]][[2]]\n", + "[1] 0.9237423\n", + "\n", + "$MSE_list[[67]][[3]]\n", + "[1] 5.806922\n", + "\n", + "$MSE_list[[67]][[4]]\n", + "[1] 5.267367\n", + "\n", + "$MSE_list[[67]][[5]]\n", + "[1] 2.509028\n", + "\n", + "$MSE_list[[67]][[6]]\n", + "[1] 4.29998\n", + "\n", + "$MSE_list[[67]][[7]]\n", + "[1] 9.930921\n", + "\n", + "$MSE_list[[67]][[8]]\n", + "[1] 4.162493\n", + "\n", + "$MSE_list[[67]][[9]]\n", + "[1] 4.083576\n", + "\n", + "$MSE_list[[67]][[10]]\n", + "[1] 1.108603\n", + "\n", + "$MSE_list[[67]][[11]]\n", + "[1] 6.717077\n", + "\n", + "$MSE_list[[67]][[12]]\n", + "[1] 5.805361\n", + "\n", + "$MSE_list[[67]][[13]]\n", + "[1] 5.821318\n", + "\n", + "$MSE_list[[67]][[14]]\n", + "[1] 1.464071\n", + "\n", + "$MSE_list[[67]][[15]]\n", + "[1] 7.684726\n", + "\n", + "$MSE_list[[67]][[16]]\n", + "[1] 9.85992\n", + "\n", + "$MSE_list[[67]][[17]]\n", + "[1] 3.530625\n", + "\n", + "$MSE_list[[67]][[18]]\n", + "[1] 4.851563\n", + "\n", + "$MSE_list[[67]][[19]]\n", + "[1] 2.544094\n", + "\n", + "$MSE_list[[67]][[20]]\n", + "[1] 6.522266\n", + "\n", + "$MSE_list[[67]][[21]]\n", + "[1] 9.764883\n", + "\n", + "$MSE_list[[67]][[22]]\n", + "[1] 6.896015\n", + "\n", + "$MSE_list[[67]][[23]]\n", + "[1] 9.258565\n", + "\n", + "$MSE_list[[67]][[24]]\n", + "[1] 1.295451\n", + "\n", + "$MSE_list[[67]][[25]]\n", + "[1] 2.355971\n", + "\n", + "$MSE_list[[67]][[26]]\n", + "[1] 2.924365\n", + "\n", + "$MSE_list[[67]][[27]]\n", + "[1] 1.840492\n", + "\n", + "$MSE_list[[67]][[28]]\n", + "[1] 1.720467\n", + "\n", + "$MSE_list[[67]][[29]]\n", + "[1] 9.085294\n", + "\n", + "$MSE_list[[67]][[30]]\n", + "[1] 4.690286\n", + "\n", + "$MSE_list[[67]][[31]]\n", + "[1] 5.824659\n", + "\n", + "$MSE_list[[67]][[32]]\n", + "[1] 5.907054\n", + "\n", + "$MSE_list[[67]][[33]]\n", + "[1] 4.017409\n", + "\n", + "$MSE_list[[67]][[34]]\n", + "[1] 1.491354\n", + "\n", + "$MSE_list[[67]][[35]]\n", + "[1] 3.875278\n", + "\n", + "$MSE_list[[67]][[36]]\n", + "[1] 5.142333\n", + "\n", + "$MSE_list[[67]][[37]]\n", + "[1] 5.137548\n", + "\n", + "$MSE_list[[67]][[38]]\n", + "[1] 6.140651\n", + "\n", + "$MSE_list[[67]][[39]]\n", + "[1] 3.367059\n", + "\n", + "$MSE_list[[67]][[40]]\n", + "[1] 2.204492\n", + "\n", + "$MSE_list[[67]][[41]]\n", + "[1] 1.666163\n", + "\n", + "$MSE_list[[67]][[42]]\n", + "[1] 5.317248\n", + "\n", + "$MSE_list[[67]][[43]]\n", + "[1] 7.433612\n", + "\n", + "$MSE_list[[67]][[44]]\n", + "[1] 5.792482\n", + "\n", + "$MSE_list[[67]][[45]]\n", + "[1] 2.779347\n", + "\n", + "$MSE_list[[67]][[46]]\n", + "[1] 3.745457\n", + "\n", + "$MSE_list[[67]][[47]]\n", + "[1] 4.508767\n", + "\n", + "$MSE_list[[67]][[48]]\n", + "[1] 3.025504\n", + "\n", + "$MSE_list[[67]][[49]]\n", + "[1] 5.157611\n", + "\n", + "$MSE_list[[67]][[50]]\n", + "[1] 1.499182\n", + "\n", + "$MSE_list[[67]][[51]]\n", + "[1] 6.278678\n", + "\n", + "$MSE_list[[67]][[52]]\n", + "[1] 7.085308\n", + "\n", + "$MSE_list[[67]][[53]]\n", + "[1] 2.401833\n", + "\n", + "$MSE_list[[67]][[54]]\n", + "[1] 3.559527\n", + "\n", + "$MSE_list[[67]][[55]]\n", + "[1] 5.620161\n", + "\n", + "$MSE_list[[67]][[56]]\n", + "[1] 4.519967\n", + "\n", + "$MSE_list[[67]][[57]]\n", + "[1] 2.473523\n", + "\n", + "$MSE_list[[67]][[58]]\n", + "[1] 6.961939\n", + "\n", + "$MSE_list[[67]][[59]]\n", + "[1] 1.404138\n", + "\n", + "$MSE_list[[67]][[60]]\n", + "[1] 5.938522\n", + "\n", + "$MSE_list[[67]][[61]]\n", + "[1] 2.339258\n", + "\n", + "$MSE_list[[67]][[62]]\n", + "[1] 5.706678\n", + "\n", + "$MSE_list[[67]][[63]]\n", + "[1] 3.111796\n", + "\n", + "$MSE_list[[67]][[64]]\n", + "[1] 1.423564\n", + "\n", + "$MSE_list[[67]][[65]]\n", + "[1] 5.774004\n", + "\n", + "$MSE_list[[67]][[66]]\n", + "[1] 2.170667\n", + "\n", + "$MSE_list[[67]][[67]]\n", + "[1] 3.026055\n", + "\n", + "$MSE_list[[67]][[68]]\n", + "[1] 4.78698\n", + "\n", + "$MSE_list[[67]][[69]]\n", + "[1] 0.8225672\n", + "\n", + "$MSE_list[[67]][[70]]\n", + "[1] 4.67167\n", + "\n", + "$MSE_list[[67]][[71]]\n", + "[1] 5.215816\n", + "\n", + "$MSE_list[[67]][[72]]\n", + "[1] 7.375492\n", + "\n", + "$MSE_list[[67]][[73]]\n", + "[1] 8.52054\n", + "\n", + "$MSE_list[[67]][[74]]\n", + "[1] 4.76116\n", + "\n", + "$MSE_list[[67]][[75]]\n", + "[1] 4.173496\n", + "\n", + "$MSE_list[[67]][[76]]\n", + "[1] 4.598461\n", + "\n", + "$MSE_list[[67]][[77]]\n", + "[1] 4.823958\n", + "\n", + "$MSE_list[[67]][[78]]\n", + "[1] 5.567305\n", + "\n", + "$MSE_list[[67]][[79]]\n", + "[1] 6.11787\n", + "\n", + "$MSE_list[[67]][[80]]\n", + "[1] 4.781426\n", + "\n", + "$MSE_list[[67]][[81]]\n", + "[1] 5.417773\n", + "\n", + "$MSE_list[[67]][[82]]\n", + "[1] 4.849693\n", + "\n", + "$MSE_list[[67]][[83]]\n", + "[1] 1.783098\n", + "\n", + "$MSE_list[[67]][[84]]\n", + "[1] 7.016425\n", + "\n", + "$MSE_list[[67]][[85]]\n", + "[1] 10.47959\n", + "\n", + "$MSE_list[[67]][[86]]\n", + "[1] 4.362992\n", + "\n", + "$MSE_list[[67]][[87]]\n", + "[1] 8.231631\n", + "\n", + "$MSE_list[[67]][[88]]\n", + "[1] 7.418176\n", + "\n", + "$MSE_list[[67]][[89]]\n", + "[1] 3.378811\n", + "\n", + "$MSE_list[[67]][[90]]\n", + "[1] 9.589562\n", + "\n", + "$MSE_list[[67]][[91]]\n", + "[1] 8.560058\n", + "\n", + "$MSE_list[[67]][[92]]\n", + "[1] 4.411145\n", + "\n", + "$MSE_list[[67]][[93]]\n", + "[1] 3.798334\n", + "\n", + "$MSE_list[[67]][[94]]\n", + "[1] 5.08974\n", + "\n", + "$MSE_list[[67]][[95]]\n", + "[1] 2.917913\n", + "\n", + "$MSE_list[[67]][[96]]\n", + "[1] 1.861946\n", + "\n", + "$MSE_list[[67]][[97]]\n", + "[1] 5.155659\n", + "\n", + "$MSE_list[[67]][[98]]\n", + "[1] 3.650499\n", + "\n", + "$MSE_list[[67]][[99]]\n", + "[1] 5.476728\n", + "\n", + "$MSE_list[[67]][[100]]\n", + "[1] 6.831894\n", + "\n", + "\n", + "$MSE_list[[68]]\n", + "$MSE_list[[68]][[1]]\n", + "[1] 0.8642489\n", + "\n", + "$MSE_list[[68]][[2]]\n", + "[1] 1.154849\n", + "\n", + "$MSE_list[[68]][[3]]\n", + "[1] 2.59715\n", + "\n", + "$MSE_list[[68]][[4]]\n", + "[1] 6.227006\n", + "\n", + "$MSE_list[[68]][[5]]\n", + "[1] 9.917736\n", + "\n", + "$MSE_list[[68]][[6]]\n", + "[1] 4.718894\n", + "\n", + "$MSE_list[[68]][[7]]\n", + "[1] 3.246846\n", + "\n", + "$MSE_list[[68]][[8]]\n", + "[1] 1.413185\n", + "\n", + "$MSE_list[[68]][[9]]\n", + "[1] 2.113841\n", + "\n", + "$MSE_list[[68]][[10]]\n", + "[1] 6.381947\n", + "\n", + "$MSE_list[[68]][[11]]\n", + "[1] 5.032731\n", + "\n", + "$MSE_list[[68]][[12]]\n", + "[1] 5.218456\n", + "\n", + "$MSE_list[[68]][[13]]\n", + "[1] 10.02884\n", + "\n", + "$MSE_list[[68]][[14]]\n", + "[1] 3.083579\n", + "\n", + "$MSE_list[[68]][[15]]\n", + "[1] 4.869818\n", + "\n", + "$MSE_list[[68]][[16]]\n", + "[1] 4.094522\n", + "\n", + "$MSE_list[[68]][[17]]\n", + "[1] 5.220675\n", + "\n", + "$MSE_list[[68]][[18]]\n", + "[1] 3.526108\n", + "\n", + "$MSE_list[[68]][[19]]\n", + "[1] 1.448826\n", + "\n", + "$MSE_list[[68]][[20]]\n", + "[1] 3.197094\n", + "\n", + "$MSE_list[[68]][[21]]\n", + "[1] 1.433726\n", + "\n", + "$MSE_list[[68]][[22]]\n", + "[1] 2.613647\n", + "\n", + "$MSE_list[[68]][[23]]\n", + "[1] 2.578539\n", + "\n", + "$MSE_list[[68]][[24]]\n", + "[1] 6.305477\n", + "\n", + "$MSE_list[[68]][[25]]\n", + "[1] 2.879137\n", + "\n", + "$MSE_list[[68]][[26]]\n", + "[1] 5.293259\n", + "\n", + "$MSE_list[[68]][[27]]\n", + "[1] 4.327501\n", + "\n", + "$MSE_list[[68]][[28]]\n", + "[1] 1.13264\n", + "\n", + "$MSE_list[[68]][[29]]\n", + "[1] 5.207475\n", + "\n", + "$MSE_list[[68]][[30]]\n", + "[1] 2.44628\n", + "\n", + "$MSE_list[[68]][[31]]\n", + "[1] 4.562188\n", + "\n", + "$MSE_list[[68]][[32]]\n", + "[1] 9.0046\n", + "\n", + "$MSE_list[[68]][[33]]\n", + "[1] 2.756612\n", + "\n", + "$MSE_list[[68]][[34]]\n", + "[1] 1.980069\n", + "\n", + "$MSE_list[[68]][[35]]\n", + "[1] 4.467202\n", + "\n", + "$MSE_list[[68]][[36]]\n", + "[1] 2.178217\n", + "\n", + "$MSE_list[[68]][[37]]\n", + "[1] 4.553732\n", + "\n", + "$MSE_list[[68]][[38]]\n", + "[1] 1.513559\n", + "\n", + "$MSE_list[[68]][[39]]\n", + "[1] 1.571738\n", + "\n", + "$MSE_list[[68]][[40]]\n", + "[1] 1.960247\n", + "\n", + "$MSE_list[[68]][[41]]\n", + "[1] 1.719427\n", + "\n", + "$MSE_list[[68]][[42]]\n", + "[1] 1.326794\n", + "\n", + "$MSE_list[[68]][[43]]\n", + "[1] 8.218989\n", + "\n", + "$MSE_list[[68]][[44]]\n", + "[1] 3.182722\n", + "\n", + "$MSE_list[[68]][[45]]\n", + "[1] 7.032063\n", + "\n", + "$MSE_list[[68]][[46]]\n", + "[1] 4.249832\n", + "\n", + "$MSE_list[[68]][[47]]\n", + "[1] 4.105447\n", + "\n", + "$MSE_list[[68]][[48]]\n", + "[1] 1.769364\n", + "\n", + "$MSE_list[[68]][[49]]\n", + "[1] 5.976979\n", + "\n", + "$MSE_list[[68]][[50]]\n", + "[1] 2.185494\n", + "\n", + "$MSE_list[[68]][[51]]\n", + "[1] 9.173153\n", + "\n", + "$MSE_list[[68]][[52]]\n", + "[1] 6.95513\n", + "\n", + "$MSE_list[[68]][[53]]\n", + "[1] 1.485699\n", + "\n", + "$MSE_list[[68]][[54]]\n", + "[1] 5.644047\n", + "\n", + "$MSE_list[[68]][[55]]\n", + "[1] 2.592168\n", + "\n", + "$MSE_list[[68]][[56]]\n", + "[1] 1.158448\n", + "\n", + "$MSE_list[[68]][[57]]\n", + "[1] 5.960992\n", + "\n", + "$MSE_list[[68]][[58]]\n", + "[1] 1.894259\n", + "\n", + "$MSE_list[[68]][[59]]\n", + "[1] 5.280098\n", + "\n", + "$MSE_list[[68]][[60]]\n", + "[1] 0.7787237\n", + "\n", + "$MSE_list[[68]][[61]]\n", + "[1] 1.67593\n", + "\n", + "$MSE_list[[68]][[62]]\n", + "[1] 4.993282\n", + "\n", + "$MSE_list[[68]][[63]]\n", + "[1] 1.175385\n", + "\n", + "$MSE_list[[68]][[64]]\n", + "[1] 7.443817\n", + "\n", + "$MSE_list[[68]][[65]]\n", + "[1] 4.832119\n", + "\n", + "$MSE_list[[68]][[66]]\n", + "[1] 4.278945\n", + "\n", + "$MSE_list[[68]][[67]]\n", + "[1] 6.819436\n", + "\n", + "$MSE_list[[68]][[68]]\n", + "[1] 1.735709\n", + "\n", + "$MSE_list[[68]][[69]]\n", + "[1] 4.728841\n", + "\n", + "$MSE_list[[68]][[70]]\n", + "[1] 4.013056\n", + "\n", + "$MSE_list[[68]][[71]]\n", + "[1] 4.612499\n", + "\n", + "$MSE_list[[68]][[72]]\n", + "[1] 8.486026\n", + "\n", + "$MSE_list[[68]][[73]]\n", + "[1] 2.026355\n", + "\n", + "$MSE_list[[68]][[74]]\n", + "[1] 8.297109\n", + "\n", + "$MSE_list[[68]][[75]]\n", + "[1] 1.623159\n", + "\n", + "$MSE_list[[68]][[76]]\n", + "[1] 1.770668\n", + "\n", + "$MSE_list[[68]][[77]]\n", + "[1] 2.329317\n", + "\n", + "$MSE_list[[68]][[78]]\n", + "[1] 2.640874\n", + "\n", + "$MSE_list[[68]][[79]]\n", + "[1] 7.297814\n", + "\n", + "$MSE_list[[68]][[80]]\n", + "[1] 6.861759\n", + "\n", + "$MSE_list[[68]][[81]]\n", + "[1] 5.497054\n", + "\n", + "$MSE_list[[68]][[82]]\n", + "[1] 5.052568\n", + "\n", + "$MSE_list[[68]][[83]]\n", + "[1] 0.8369524\n", + "\n", + "$MSE_list[[68]][[84]]\n", + "[1] 2.097316\n", + "\n", + "$MSE_list[[68]][[85]]\n", + "[1] 2.858832\n", + "\n", + "$MSE_list[[68]][[86]]\n", + "[1] 2.150668\n", + "\n", + "$MSE_list[[68]][[87]]\n", + "[1] 7.365056\n", + "\n", + "$MSE_list[[68]][[88]]\n", + "[1] 4.451916\n", + "\n", + "$MSE_list[[68]][[89]]\n", + "[1] 5.732998\n", + "\n", + "$MSE_list[[68]][[90]]\n", + "[1] 2.037958\n", + "\n", + "$MSE_list[[68]][[91]]\n", + "[1] 3.885359\n", + "\n", + "$MSE_list[[68]][[92]]\n", + "[1] 0.743073\n", + "\n", + "$MSE_list[[68]][[93]]\n", + "[1] 4.402051\n", + "\n", + "$MSE_list[[68]][[94]]\n", + "[1] 5.324821\n", + "\n", + "$MSE_list[[68]][[95]]\n", + "[1] 8.047778\n", + "\n", + "$MSE_list[[68]][[96]]\n", + "[1] 2.093779\n", + "\n", + "$MSE_list[[68]][[97]]\n", + "[1] 1.751644\n", + "\n", + "$MSE_list[[68]][[98]]\n", + "[1] 1.195386\n", + "\n", + "$MSE_list[[68]][[99]]\n", + "[1] 2.367963\n", + "\n", + "$MSE_list[[68]][[100]]\n", + "[1] 2.828693\n", + "\n", + "\n", + "$MSE_list[[69]]\n", + "$MSE_list[[69]][[1]]\n", + "[1] 4.777518\n", + "\n", + "$MSE_list[[69]][[2]]\n", + "[1] 1.501813\n", + "\n", + "$MSE_list[[69]][[3]]\n", + "[1] 8.253155\n", + "\n", + "$MSE_list[[69]][[4]]\n", + "[1] 8.824981\n", + "\n", + "$MSE_list[[69]][[5]]\n", + "[1] 5.002452\n", + "\n", + "$MSE_list[[69]][[6]]\n", + "[1] 4.612698\n", + "\n", + "$MSE_list[[69]][[7]]\n", + "[1] 1.94355\n", + "\n", + "$MSE_list[[69]][[8]]\n", + "[1] 4.711755\n", + "\n", + "$MSE_list[[69]][[9]]\n", + "[1] 8.562029\n", + "\n", + "$MSE_list[[69]][[10]]\n", + "[1] 3.175241\n", + "\n", + "$MSE_list[[69]][[11]]\n", + "[1] 4.029765\n", + "\n", + "$MSE_list[[69]][[12]]\n", + "[1] 6.020038\n", + "\n", + "$MSE_list[[69]][[13]]\n", + "[1] 2.665501\n", + "\n", + "$MSE_list[[69]][[14]]\n", + "[1] 8.709268\n", + "\n", + "$MSE_list[[69]][[15]]\n", + "[1] 2.285563\n", + "\n", + "$MSE_list[[69]][[16]]\n", + "[1] 2.528625\n", + "\n", + "$MSE_list[[69]][[17]]\n", + "[1] 5.633327\n", + "\n", + "$MSE_list[[69]][[18]]\n", + "[1] 1.025805\n", + "\n", + "$MSE_list[[69]][[19]]\n", + "[1] 4.118696\n", + "\n", + "$MSE_list[[69]][[20]]\n", + "[1] 5.230882\n", + "\n", + "$MSE_list[[69]][[21]]\n", + "[1] 4.819156\n", + "\n", + "$MSE_list[[69]][[22]]\n", + "[1] 2.395899\n", + "\n", + "$MSE_list[[69]][[23]]\n", + "[1] 3.179353\n", + "\n", + "$MSE_list[[69]][[24]]\n", + "[1] 4.035543\n", + "\n", + "$MSE_list[[69]][[25]]\n", + "[1] 6.242939\n", + "\n", + "$MSE_list[[69]][[26]]\n", + "[1] 3.137916\n", + "\n", + "$MSE_list[[69]][[27]]\n", + "[1] 1.301089\n", + "\n", + "$MSE_list[[69]][[28]]\n", + "[1] 2.479581\n", + "\n", + "$MSE_list[[69]][[29]]\n", + "[1] 6.587943\n", + "\n", + "$MSE_list[[69]][[30]]\n", + "[1] 1.720303\n", + "\n", + "$MSE_list[[69]][[31]]\n", + "[1] 5.769152\n", + "\n", + "$MSE_list[[69]][[32]]\n", + "[1] 2.670884\n", + "\n", + "$MSE_list[[69]][[33]]\n", + "[1] 1.379254\n", + "\n", + "$MSE_list[[69]][[34]]\n", + "[1] 4.54179\n", + "\n", + "$MSE_list[[69]][[35]]\n", + "[1] 6.349112\n", + "\n", + "$MSE_list[[69]][[36]]\n", + "[1] 5.353042\n", + "\n", + "$MSE_list[[69]][[37]]\n", + "[1] 3.797337\n", + "\n", + "$MSE_list[[69]][[38]]\n", + "[1] 6.910053\n", + "\n", + "$MSE_list[[69]][[39]]\n", + "[1] 6.433274\n", + "\n", + "$MSE_list[[69]][[40]]\n", + "[1] 6.148134\n", + "\n", + "$MSE_list[[69]][[41]]\n", + "[1] 5.050482\n", + "\n", + "$MSE_list[[69]][[42]]\n", + "[1] 5.052647\n", + "\n", + "$MSE_list[[69]][[43]]\n", + "[1] 3.834333\n", + "\n", + "$MSE_list[[69]][[44]]\n", + "[1] 2.261929\n", + "\n", + "$MSE_list[[69]][[45]]\n", + "[1] 3.087074\n", + "\n", + "$MSE_list[[69]][[46]]\n", + "[1] 2.443051\n", + "\n", + "$MSE_list[[69]][[47]]\n", + "[1] 3.062451\n", + "\n", + "$MSE_list[[69]][[48]]\n", + "[1] 1.519974\n", + "\n", + "$MSE_list[[69]][[49]]\n", + "[1] 4.146853\n", + "\n", + "$MSE_list[[69]][[50]]\n", + "[1] 3.185851\n", + "\n", + "$MSE_list[[69]][[51]]\n", + "[1] 2.820393\n", + "\n", + "$MSE_list[[69]][[52]]\n", + "[1] 2.323193\n", + "\n", + "$MSE_list[[69]][[53]]\n", + "[1] 5.502792\n", + "\n", + "$MSE_list[[69]][[54]]\n", + "[1] 3.622455\n", + "\n", + "$MSE_list[[69]][[55]]\n", + "[1] 6.99704\n", + "\n", + "$MSE_list[[69]][[56]]\n", + "[1] 1.966307\n", + "\n", + "$MSE_list[[69]][[57]]\n", + "[1] 5.07291\n", + "\n", + "$MSE_list[[69]][[58]]\n", + "[1] 5.276866\n", + "\n", + "$MSE_list[[69]][[59]]\n", + "[1] 4.72667\n", + "\n", + "$MSE_list[[69]][[60]]\n", + "[1] 5.583635\n", + "\n", + "$MSE_list[[69]][[61]]\n", + "[1] 8.63438\n", + "\n", + "$MSE_list[[69]][[62]]\n", + "[1] 5.957219\n", + "\n", + "$MSE_list[[69]][[63]]\n", + "[1] 1.025586\n", + "\n", + "$MSE_list[[69]][[64]]\n", + "[1] 6.881652\n", + "\n", + "$MSE_list[[69]][[65]]\n", + "[1] 4.557665\n", + "\n", + "$MSE_list[[69]][[66]]\n", + "[1] 3.12529\n", + "\n", + "$MSE_list[[69]][[67]]\n", + "[1] 3.777111\n", + "\n", + "$MSE_list[[69]][[68]]\n", + "[1] 5.671328\n", + "\n", + "$MSE_list[[69]][[69]]\n", + "[1] 2.362663\n", + "\n", + "$MSE_list[[69]][[70]]\n", + "[1] 6.340799\n", + "\n", + "$MSE_list[[69]][[71]]\n", + "[1] 6.421441\n", + "\n", + "$MSE_list[[69]][[72]]\n", + "[1] 5.203136\n", + "\n", + "$MSE_list[[69]][[73]]\n", + "[1] 4.131189\n", + "\n", + "$MSE_list[[69]][[74]]\n", + "[1] 4.517029\n", + "\n", + "$MSE_list[[69]][[75]]\n", + "[1] 3.826756\n", + "\n", + "$MSE_list[[69]][[76]]\n", + "[1] 4.629115\n", + "\n", + "$MSE_list[[69]][[77]]\n", + "[1] 3.385199\n", + "\n", + "$MSE_list[[69]][[78]]\n", + "[1] 3.557625\n", + "\n", + "$MSE_list[[69]][[79]]\n", + "[1] 6.08235\n", + "\n", + "$MSE_list[[69]][[80]]\n", + "[1] 2.981321\n", + "\n", + "$MSE_list[[69]][[81]]\n", + "[1] 3.268051\n", + "\n", + "$MSE_list[[69]][[82]]\n", + "[1] 4.898286\n", + "\n", + "$MSE_list[[69]][[83]]\n", + "[1] 2.209532\n", + "\n", + "$MSE_list[[69]][[84]]\n", + "[1] 3.56177\n", + "\n", + "$MSE_list[[69]][[85]]\n", + "[1] 4.262687\n", + "\n", + "$MSE_list[[69]][[86]]\n", + "[1] 6.324364\n", + "\n", + "$MSE_list[[69]][[87]]\n", + "[1] 2.205293\n", + "\n", + "$MSE_list[[69]][[88]]\n", + "[1] 3.872968\n", + "\n", + "$MSE_list[[69]][[89]]\n", + "[1] 9.27591\n", + "\n", + "$MSE_list[[69]][[90]]\n", + "[1] 3.887933\n", + "\n", + "$MSE_list[[69]][[91]]\n", + "[1] 1.51633\n", + "\n", + "$MSE_list[[69]][[92]]\n", + "[1] 1.556978\n", + "\n", + "$MSE_list[[69]][[93]]\n", + "[1] 5.631535\n", + "\n", + "$MSE_list[[69]][[94]]\n", + "[1] 2.909987\n", + "\n", + "$MSE_list[[69]][[95]]\n", + "[1] 4.319932\n", + "\n", + "$MSE_list[[69]][[96]]\n", + "[1] 3.251157\n", + "\n", + "$MSE_list[[69]][[97]]\n", + "[1] 3.216306\n", + "\n", + "$MSE_list[[69]][[98]]\n", + "[1] 3.393923\n", + "\n", + "$MSE_list[[69]][[99]]\n", + "[1] 4.80856\n", + "\n", + "$MSE_list[[69]][[100]]\n", + "[1] 5.785578\n", + "\n", + "\n", + "$MSE_list[[70]]\n", + "$MSE_list[[70]][[1]]\n", + "[1] 4.571269\n", + "\n", + "$MSE_list[[70]][[2]]\n", + "[1] 6.677894\n", + "\n", + "$MSE_list[[70]][[3]]\n", + "[1] 8.661443\n", + "\n", + "$MSE_list[[70]][[4]]\n", + "[1] 5.083869\n", + "\n", + "$MSE_list[[70]][[5]]\n", + "[1] 2.306982\n", + "\n", + "$MSE_list[[70]][[6]]\n", + "[1] 7.742805\n", + "\n", + "$MSE_list[[70]][[7]]\n", + "[1] 7.043674\n", + "\n", + "$MSE_list[[70]][[8]]\n", + "[1] 7.295661\n", + "\n", + "$MSE_list[[70]][[9]]\n", + "[1] 5.103247\n", + "\n", + "$MSE_list[[70]][[10]]\n", + "[1] 4.183705\n", + "\n", + "$MSE_list[[70]][[11]]\n", + "[1] 5.235116\n", + "\n", + "$MSE_list[[70]][[12]]\n", + "[1] 6.122708\n", + "\n", + "$MSE_list[[70]][[13]]\n", + "[1] 8.075332\n", + "\n", + "$MSE_list[[70]][[14]]\n", + "[1] 6.548422\n", + "\n", + "$MSE_list[[70]][[15]]\n", + "[1] 1.447116\n", + "\n", + "$MSE_list[[70]][[16]]\n", + "[1] 10.07083\n", + "\n", + "$MSE_list[[70]][[17]]\n", + "[1] 6.72026\n", + "\n", + "$MSE_list[[70]][[18]]\n", + "[1] 6.794829\n", + "\n", + "$MSE_list[[70]][[19]]\n", + "[1] 7.121882\n", + "\n", + "$MSE_list[[70]][[20]]\n", + "[1] 1.96824\n", + "\n", + "$MSE_list[[70]][[21]]\n", + "[1] 7.247454\n", + "\n", + "$MSE_list[[70]][[22]]\n", + "[1] 3.232493\n", + "\n", + "$MSE_list[[70]][[23]]\n", + "[1] 4.556885\n", + "\n", + "$MSE_list[[70]][[24]]\n", + "[1] 6.890958\n", + "\n", + "$MSE_list[[70]][[25]]\n", + "[1] 11.2492\n", + "\n", + "$MSE_list[[70]][[26]]\n", + "[1] 3.214938\n", + "\n", + "$MSE_list[[70]][[27]]\n", + "[1] 5.923632\n", + "\n", + "$MSE_list[[70]][[28]]\n", + "[1] 2.043444\n", + "\n", + "$MSE_list[[70]][[29]]\n", + "[1] 5.632827\n", + "\n", + "$MSE_list[[70]][[30]]\n", + "[1] 1.838481\n", + "\n", + "$MSE_list[[70]][[31]]\n", + "[1] 4.435342\n", + "\n", + "$MSE_list[[70]][[32]]\n", + "[1] 1.626963\n", + "\n", + "$MSE_list[[70]][[33]]\n", + "[1] 4.482716\n", + "\n", + "$MSE_list[[70]][[34]]\n", + "[1] 0.8880879\n", + "\n", + "$MSE_list[[70]][[35]]\n", + "[1] 1.024929\n", + "\n", + "$MSE_list[[70]][[36]]\n", + "[1] 3.972453\n", + "\n", + "$MSE_list[[70]][[37]]\n", + "[1] 4.916489\n", + "\n", + "$MSE_list[[70]][[38]]\n", + "[1] 6.286893\n", + "\n", + "$MSE_list[[70]][[39]]\n", + "[1] 3.39037\n", + "\n", + "$MSE_list[[70]][[40]]\n", + "[1] 3.666851\n", + "\n", + "$MSE_list[[70]][[41]]\n", + "[1] 5.105693\n", + "\n", + "$MSE_list[[70]][[42]]\n", + "[1] 3.637858\n", + "\n", + "$MSE_list[[70]][[43]]\n", + "[1] 5.794802\n", + "\n", + "$MSE_list[[70]][[44]]\n", + "[1] 5.737312\n", + "\n", + "$MSE_list[[70]][[45]]\n", + "[1] 2.060641\n", + "\n", + "$MSE_list[[70]][[46]]\n", + "[1] 6.863206\n", + "\n", + "$MSE_list[[70]][[47]]\n", + "[1] 7.388121\n", + "\n", + "$MSE_list[[70]][[48]]\n", + "[1] 9.696281\n", + "\n", + "$MSE_list[[70]][[49]]\n", + "[1] 4.492877\n", + "\n", + "$MSE_list[[70]][[50]]\n", + "[1] 10.54559\n", + "\n", + "$MSE_list[[70]][[51]]\n", + "[1] 3.966108\n", + "\n", + "$MSE_list[[70]][[52]]\n", + "[1] 1.838711\n", + "\n", + "$MSE_list[[70]][[53]]\n", + "[1] 2.471649\n", + "\n", + "$MSE_list[[70]][[54]]\n", + "[1] 4.516726\n", + "\n", + "$MSE_list[[70]][[55]]\n", + "[1] 8.485214\n", + "\n", + "$MSE_list[[70]][[56]]\n", + "[1] 4.615962\n", + "\n", + "$MSE_list[[70]][[57]]\n", + "[1] 3.733833\n", + "\n", + "$MSE_list[[70]][[58]]\n", + "[1] 3.777933\n", + "\n", + "$MSE_list[[70]][[59]]\n", + "[1] 5.060937\n", + "\n", + "$MSE_list[[70]][[60]]\n", + "[1] 6.8279\n", + "\n", + "$MSE_list[[70]][[61]]\n", + "[1] 0.7944391\n", + "\n", + "$MSE_list[[70]][[62]]\n", + "[1] 5.272951\n", + "\n", + "$MSE_list[[70]][[63]]\n", + "[1] 3.014625\n", + "\n", + "$MSE_list[[70]][[64]]\n", + "[1] 5.367407\n", + "\n", + "$MSE_list[[70]][[65]]\n", + "[1] 4.798536\n", + "\n", + "$MSE_list[[70]][[66]]\n", + "[1] 6.882299\n", + "\n", + "$MSE_list[[70]][[67]]\n", + "[1] 2.904076\n", + "\n", + "$MSE_list[[70]][[68]]\n", + "[1] 5.045617\n", + "\n", + "$MSE_list[[70]][[69]]\n", + "[1] 6.844603\n", + "\n", + "$MSE_list[[70]][[70]]\n", + "[1] 3.010679\n", + "\n", + "$MSE_list[[70]][[71]]\n", + "[1] 4.755834\n", + "\n", + "$MSE_list[[70]][[72]]\n", + "[1] 2.726918\n", + "\n", + "$MSE_list[[70]][[73]]\n", + "[1] 2.816006\n", + "\n", + "$MSE_list[[70]][[74]]\n", + "[1] 6.436934\n", + "\n", + "$MSE_list[[70]][[75]]\n", + "[1] 4.934774\n", + "\n", + "$MSE_list[[70]][[76]]\n", + "[1] 8.862295\n", + "\n", + "$MSE_list[[70]][[77]]\n", + "[1] 2.329863\n", + "\n", + "$MSE_list[[70]][[78]]\n", + "[1] 7.308186\n", + "\n", + "$MSE_list[[70]][[79]]\n", + "[1] 5.810684\n", + "\n", + "$MSE_list[[70]][[80]]\n", + "[1] 2.311136\n", + "\n", + "$MSE_list[[70]][[81]]\n", + "[1] 5.24801\n", + "\n", + "$MSE_list[[70]][[82]]\n", + "[1] 6.161847\n", + "\n", + "$MSE_list[[70]][[83]]\n", + "[1] 3.184301\n", + "\n", + "$MSE_list[[70]][[84]]\n", + "[1] 5.372439\n", + "\n", + "$MSE_list[[70]][[85]]\n", + "[1] 6.673344\n", + "\n", + "$MSE_list[[70]][[86]]\n", + "[1] 5.949331\n", + "\n", + "$MSE_list[[70]][[87]]\n", + "[1] 4.665589\n", + "\n", + "$MSE_list[[70]][[88]]\n", + "[1] 6.325431\n", + "\n", + "$MSE_list[[70]][[89]]\n", + "[1] 4.138896\n", + "\n", + "$MSE_list[[70]][[90]]\n", + "[1] 7.689589\n", + "\n", + "$MSE_list[[70]][[91]]\n", + "[1] 5.187394\n", + "\n", + "$MSE_list[[70]][[92]]\n", + "[1] 5.516174\n", + "\n", + "$MSE_list[[70]][[93]]\n", + "[1] 5.434491\n", + "\n", + "$MSE_list[[70]][[94]]\n", + "[1] 2.456517\n", + "\n", + "$MSE_list[[70]][[95]]\n", + "[1] 5.739282\n", + "\n", + "$MSE_list[[70]][[96]]\n", + "[1] 2.813637\n", + "\n", + "$MSE_list[[70]][[97]]\n", + "[1] 2.67131\n", + "\n", + "$MSE_list[[70]][[98]]\n", + "[1] 2.782944\n", + "\n", + "$MSE_list[[70]][[99]]\n", + "[1] 6.222659\n", + "\n", + "$MSE_list[[70]][[100]]\n", + "[1] 5.016651\n", + "\n", + "\n", + "$MSE_list[[71]]\n", + "$MSE_list[[71]][[1]]\n", + "[1] 1.768903\n", + "\n", + "$MSE_list[[71]][[2]]\n", + "[1] 2.358081\n", + "\n", + "$MSE_list[[71]][[3]]\n", + "[1] 2.32718\n", + "\n", + "$MSE_list[[71]][[4]]\n", + "[1] 1.013162\n", + "\n", + "$MSE_list[[71]][[5]]\n", + "[1] 3.168429\n", + "\n", + "$MSE_list[[71]][[6]]\n", + "[1] 2.371767\n", + "\n", + "$MSE_list[[71]][[7]]\n", + "[1] 5.432148\n", + "\n", + "$MSE_list[[71]][[8]]\n", + "[1] 6.309141\n", + "\n", + "$MSE_list[[71]][[9]]\n", + "[1] 3.303107\n", + "\n", + "$MSE_list[[71]][[10]]\n", + "[1] 1.470768\n", + "\n", + "$MSE_list[[71]][[11]]\n", + "[1] 2.024197\n", + "\n", + "$MSE_list[[71]][[12]]\n", + "[1] 0.7064501\n", + "\n", + "$MSE_list[[71]][[13]]\n", + "[1] 1.423763\n", + "\n", + "$MSE_list[[71]][[14]]\n", + "[1] 4.928545\n", + "\n", + "$MSE_list[[71]][[15]]\n", + "[1] 6.124627\n", + "\n", + "$MSE_list[[71]][[16]]\n", + "[1] 2.139915\n", + "\n", + "$MSE_list[[71]][[17]]\n", + "[1] 1.649419\n", + "\n", + "$MSE_list[[71]][[18]]\n", + "[1] 5.9505\n", + "\n", + "$MSE_list[[71]][[19]]\n", + "[1] 2.040803\n", + "\n", + "$MSE_list[[71]][[20]]\n", + "[1] 5.658873\n", + "\n", + "$MSE_list[[71]][[21]]\n", + "[1] 2.14598\n", + "\n", + "$MSE_list[[71]][[22]]\n", + "[1] 4.919377\n", + "\n", + "$MSE_list[[71]][[23]]\n", + "[1] 2.187849\n", + "\n", + "$MSE_list[[71]][[24]]\n", + "[1] 1.823584\n", + "\n", + "$MSE_list[[71]][[25]]\n", + "[1] 2.70432\n", + "\n", + "$MSE_list[[71]][[26]]\n", + "[1] 7.855326\n", + "\n", + "$MSE_list[[71]][[27]]\n", + "[1] 1.701699\n", + "\n", + "$MSE_list[[71]][[28]]\n", + "[1] 1.604821\n", + "\n", + "$MSE_list[[71]][[29]]\n", + "[1] 2.280306\n", + "\n", + "$MSE_list[[71]][[30]]\n", + "[1] 2.381031\n", + "\n", + "$MSE_list[[71]][[31]]\n", + "[1] 3.691409\n", + "\n", + "$MSE_list[[71]][[32]]\n", + "[1] 5.019935\n", + "\n", + "$MSE_list[[71]][[33]]\n", + "[1] 1.67994\n", + "\n", + "$MSE_list[[71]][[34]]\n", + "[1] 6.842491\n", + "\n", + "$MSE_list[[71]][[35]]\n", + "[1] 2.037382\n", + "\n", + "$MSE_list[[71]][[36]]\n", + "[1] 1.767334\n", + "\n", + "$MSE_list[[71]][[37]]\n", + "[1] 1.399536\n", + "\n", + "$MSE_list[[71]][[38]]\n", + "[1] 4.601617\n", + "\n", + "$MSE_list[[71]][[39]]\n", + "[1] 4.079488\n", + "\n", + "$MSE_list[[71]][[40]]\n", + "[1] 2.496978\n", + "\n", + "$MSE_list[[71]][[41]]\n", + "[1] 0.6476543\n", + "\n", + "$MSE_list[[71]][[42]]\n", + "[1] 2.748665\n", + "\n", + "$MSE_list[[71]][[43]]\n", + "[1] 1.982411\n", + "\n", + "$MSE_list[[71]][[44]]\n", + "[1] 1.352288\n", + "\n", + "$MSE_list[[71]][[45]]\n", + "[1] 1.245304\n", + "\n", + "$MSE_list[[71]][[46]]\n", + "[1] 1.190645\n", + "\n", + "$MSE_list[[71]][[47]]\n", + "[1] 1.809752\n", + "\n", + "$MSE_list[[71]][[48]]\n", + "[1] 6.849179\n", + "\n", + "$MSE_list[[71]][[49]]\n", + "[1] 2.174081\n", + "\n", + "$MSE_list[[71]][[50]]\n", + "[1] 1.953208\n", + "\n", + "$MSE_list[[71]][[51]]\n", + "[1] 1.662898\n", + "\n", + "$MSE_list[[71]][[52]]\n", + "[1] 1.473579\n", + "\n", + "$MSE_list[[71]][[53]]\n", + "[1] 4.602234\n", + "\n", + "$MSE_list[[71]][[54]]\n", + "[1] 5.499343\n", + "\n", + "$MSE_list[[71]][[55]]\n", + "[1] 4.732162\n", + "\n", + "$MSE_list[[71]][[56]]\n", + "[1] 0.9600894\n", + "\n", + "$MSE_list[[71]][[57]]\n", + "[1] 1.692576\n", + "\n", + "$MSE_list[[71]][[58]]\n", + "[1] 5.530347\n", + "\n", + "$MSE_list[[71]][[59]]\n", + "[1] 1.858415\n", + "\n", + "$MSE_list[[71]][[60]]\n", + "[1] 6.210609\n", + "\n", + "$MSE_list[[71]][[61]]\n", + "[1] 7.683762\n", + "\n", + "$MSE_list[[71]][[62]]\n", + "[1] 1.92139\n", + "\n", + "$MSE_list[[71]][[63]]\n", + "[1] 1.810449\n", + "\n", + "$MSE_list[[71]][[64]]\n", + "[1] 9.175496\n", + "\n", + "$MSE_list[[71]][[65]]\n", + "[1] 2.40373\n", + "\n", + "$MSE_list[[71]][[66]]\n", + "[1] 1.147428\n", + "\n", + "$MSE_list[[71]][[67]]\n", + "[1] 5.399344\n", + "\n", + "$MSE_list[[71]][[68]]\n", + "[1] 2.023916\n", + "\n", + "$MSE_list[[71]][[69]]\n", + "[1] 2.343352\n", + "\n", + "$MSE_list[[71]][[70]]\n", + "[1] 1.345309\n", + "\n", + "$MSE_list[[71]][[71]]\n", + "[1] 0.6310073\n", + "\n", + "$MSE_list[[71]][[72]]\n", + "[1] 1.044881\n", + "\n", + "$MSE_list[[71]][[73]]\n", + "[1] 1.293068\n", + "\n", + "$MSE_list[[71]][[74]]\n", + "[1] 2.335998\n", + "\n", + "$MSE_list[[71]][[75]]\n", + "[1] 1.509155\n", + "\n", + "$MSE_list[[71]][[76]]\n", + "[1] 1.920626\n", + "\n", + "$MSE_list[[71]][[77]]\n", + "[1] 7.310724\n", + "\n", + "$MSE_list[[71]][[78]]\n", + "[1] 1.780854\n", + "\n", + "$MSE_list[[71]][[79]]\n", + "[1] 3.726626\n", + "\n", + "$MSE_list[[71]][[80]]\n", + "[1] 0.993407\n", + "\n", + "$MSE_list[[71]][[81]]\n", + "[1] 2.077884\n", + "\n", + "$MSE_list[[71]][[82]]\n", + "[1] 1.42706\n", + "\n", + "$MSE_list[[71]][[83]]\n", + "[1] 2.385512\n", + "\n", + "$MSE_list[[71]][[84]]\n", + "[1] 1.45129\n", + "\n", + "$MSE_list[[71]][[85]]\n", + "[1] 1.945816\n", + "\n", + "$MSE_list[[71]][[86]]\n", + "[1] 7.289962\n", + "\n", + "$MSE_list[[71]][[87]]\n", + "[1] 1.345579\n", + "\n", + "$MSE_list[[71]][[88]]\n", + "[1] 1.404845\n", + "\n", + "$MSE_list[[71]][[89]]\n", + "[1] 2.492514\n", + "\n", + "$MSE_list[[71]][[90]]\n", + "[1] 2.422471\n", + "\n", + "$MSE_list[[71]][[91]]\n", + "[1] 1.909051\n", + "\n", + "$MSE_list[[71]][[92]]\n", + "[1] 2.363411\n", + "\n", + "$MSE_list[[71]][[93]]\n", + "[1] 2.749594\n", + "\n", + "$MSE_list[[71]][[94]]\n", + "[1] 1.77685\n", + "\n", + "$MSE_list[[71]][[95]]\n", + "[1] 1.559376\n", + "\n", + "$MSE_list[[71]][[96]]\n", + "[1] 1.484831\n", + "\n", + "$MSE_list[[71]][[97]]\n", + "[1] 1.378069\n", + "\n", + "$MSE_list[[71]][[98]]\n", + "[1] 2.103388\n", + "\n", + "$MSE_list[[71]][[99]]\n", + "[1] 2.053307\n", + "\n", + "$MSE_list[[71]][[100]]\n", + "[1] 2.251026\n", + "\n", + "\n", + "$MSE_list[[72]]\n", + "$MSE_list[[72]][[1]]\n", + "[1] 1.687247\n", + "\n", + "$MSE_list[[72]][[2]]\n", + "[1] 6.745657\n", + "\n", + "$MSE_list[[72]][[3]]\n", + "[1] 2.052276\n", + "\n", + "$MSE_list[[72]][[4]]\n", + "[1] 4.624709\n", + "\n", + "$MSE_list[[72]][[5]]\n", + "[1] 4.359618\n", + "\n", + "$MSE_list[[72]][[6]]\n", + "[1] 7.038051\n", + "\n", + "$MSE_list[[72]][[7]]\n", + "[1] 6.917381\n", + "\n", + "$MSE_list[[72]][[8]]\n", + "[1] 1.651018\n", + "\n", + "$MSE_list[[72]][[9]]\n", + "[1] 5.758631\n", + "\n", + "$MSE_list[[72]][[10]]\n", + "[1] 8.15942\n", + "\n", + "$MSE_list[[72]][[11]]\n", + "[1] 6.636906\n", + "\n", + "$MSE_list[[72]][[12]]\n", + "[1] 1.909603\n", + "\n", + "$MSE_list[[72]][[13]]\n", + "[1] 3.975531\n", + "\n", + "$MSE_list[[72]][[14]]\n", + "[1] 5.591768\n", + "\n", + "$MSE_list[[72]][[15]]\n", + "[1] 0.9510228\n", + "\n", + "$MSE_list[[72]][[16]]\n", + "[1] 5.612495\n", + "\n", + "$MSE_list[[72]][[17]]\n", + "[1] 8.346397\n", + "\n", + "$MSE_list[[72]][[18]]\n", + "[1] 5.220033\n", + "\n", + "$MSE_list[[72]][[19]]\n", + "[1] 3.360395\n", + "\n", + "$MSE_list[[72]][[20]]\n", + "[1] 4.973781\n", + "\n", + "$MSE_list[[72]][[21]]\n", + "[1] 7.303157\n", + "\n", + "$MSE_list[[72]][[22]]\n", + "[1] 8.485259\n", + "\n", + "$MSE_list[[72]][[23]]\n", + "[1] 7.518446\n", + "\n", + "$MSE_list[[72]][[24]]\n", + "[1] 1.99209\n", + "\n", + "$MSE_list[[72]][[25]]\n", + "[1] 2.682843\n", + "\n", + "$MSE_list[[72]][[26]]\n", + "[1] 3.00374\n", + "\n", + "$MSE_list[[72]][[27]]\n", + "[1] 2.667545\n", + "\n", + "$MSE_list[[72]][[28]]\n", + "[1] 5.185472\n", + "\n", + "$MSE_list[[72]][[29]]\n", + "[1] 5.318102\n", + "\n", + "$MSE_list[[72]][[30]]\n", + "[1] 2.682956\n", + "\n", + "$MSE_list[[72]][[31]]\n", + "[1] 7.619336\n", + "\n", + "$MSE_list[[72]][[32]]\n", + "[1] 1.208258\n", + "\n", + "$MSE_list[[72]][[33]]\n", + "[1] 6.189371\n", + "\n", + "$MSE_list[[72]][[34]]\n", + "[1] 1.773425\n", + "\n", + "$MSE_list[[72]][[35]]\n", + "[1] 4.195577\n", + "\n", + "$MSE_list[[72]][[36]]\n", + "[1] 1.543911\n", + "\n", + "$MSE_list[[72]][[37]]\n", + "[1] 6.144863\n", + "\n", + "$MSE_list[[72]][[38]]\n", + "[1] 3.774502\n", + "\n", + "$MSE_list[[72]][[39]]\n", + "[1] 8.297516\n", + "\n", + "$MSE_list[[72]][[40]]\n", + "[1] 2.798545\n", + "\n", + "$MSE_list[[72]][[41]]\n", + "[1] 5.987468\n", + "\n", + "$MSE_list[[72]][[42]]\n", + "[1] 4.449507\n", + "\n", + "$MSE_list[[72]][[43]]\n", + "[1] 4.759616\n", + "\n", + "$MSE_list[[72]][[44]]\n", + "[1] 6.907269\n", + "\n", + "$MSE_list[[72]][[45]]\n", + "[1] 3.397613\n", + "\n", + "$MSE_list[[72]][[46]]\n", + "[1] 3.813188\n", + "\n", + "$MSE_list[[72]][[47]]\n", + "[1] 2.248786\n", + "\n", + "$MSE_list[[72]][[48]]\n", + "[1] 4.705988\n", + "\n", + "$MSE_list[[72]][[49]]\n", + "[1] 4.314039\n", + "\n", + "$MSE_list[[72]][[50]]\n", + "[1] 1.995499\n", + "\n", + "$MSE_list[[72]][[51]]\n", + "[1] 6.623033\n", + "\n", + "$MSE_list[[72]][[52]]\n", + "[1] 4.938888\n", + "\n", + "$MSE_list[[72]][[53]]\n", + "[1] 4.035159\n", + "\n", + "$MSE_list[[72]][[54]]\n", + "[1] 8.320233\n", + "\n", + "$MSE_list[[72]][[55]]\n", + "[1] 6.932761\n", + "\n", + "$MSE_list[[72]][[56]]\n", + "[1] 5.230453\n", + "\n", + "$MSE_list[[72]][[57]]\n", + "[1] 2.950693\n", + "\n", + "$MSE_list[[72]][[58]]\n", + "[1] 6.784734\n", + "\n", + "$MSE_list[[72]][[59]]\n", + "[1] 4.070823\n", + "\n", + "$MSE_list[[72]][[60]]\n", + "[1] 6.064772\n", + "\n", + "$MSE_list[[72]][[61]]\n", + "[1] 3.19242\n", + "\n", + "$MSE_list[[72]][[62]]\n", + "[1] 2.460993\n", + "\n", + "$MSE_list[[72]][[63]]\n", + "[1] 3.586666\n", + "\n", + "$MSE_list[[72]][[64]]\n", + "[1] 3.13511\n", + "\n", + "$MSE_list[[72]][[65]]\n", + "[1] 6.696498\n", + "\n", + "$MSE_list[[72]][[66]]\n", + "[1] 7.265698\n", + "\n", + "$MSE_list[[72]][[67]]\n", + "[1] 2.54062\n", + "\n", + "$MSE_list[[72]][[68]]\n", + "[1] 8.53881\n", + "\n", + "$MSE_list[[72]][[69]]\n", + "[1] 3.002219\n", + "\n", + "$MSE_list[[72]][[70]]\n", + "[1] 2.462374\n", + "\n", + "$MSE_list[[72]][[71]]\n", + "[1] 1.504348\n", + "\n", + "$MSE_list[[72]][[72]]\n", + "[1] 4.020136\n", + "\n", + "$MSE_list[[72]][[73]]\n", + "[1] 6.452883\n", + "\n", + "$MSE_list[[72]][[74]]\n", + "[1] 6.661016\n", + "\n", + "$MSE_list[[72]][[75]]\n", + "[1] 1.671982\n", + "\n", + "$MSE_list[[72]][[76]]\n", + "[1] 2.849\n", + "\n", + "$MSE_list[[72]][[77]]\n", + "[1] 9.414394\n", + "\n", + "$MSE_list[[72]][[78]]\n", + "[1] 7.105243\n", + "\n", + "$MSE_list[[72]][[79]]\n", + "[1] 3.425675\n", + "\n", + "$MSE_list[[72]][[80]]\n", + "[1] 4.616846\n", + "\n", + "$MSE_list[[72]][[81]]\n", + "[1] 2.732734\n", + "\n", + "$MSE_list[[72]][[82]]\n", + "[1] 8.675564\n", + "\n", + "$MSE_list[[72]][[83]]\n", + "[1] 6.682199\n", + "\n", + "$MSE_list[[72]][[84]]\n", + "[1] 3.864177\n", + "\n", + "$MSE_list[[72]][[85]]\n", + "[1] 3.17751\n", + "\n", + "$MSE_list[[72]][[86]]\n", + "[1] 4.972315\n", + "\n", + "$MSE_list[[72]][[87]]\n", + "[1] 9.222508\n", + "\n", + "$MSE_list[[72]][[88]]\n", + "[1] 7.516534\n", + "\n", + "$MSE_list[[72]][[89]]\n", + "[1] 3.448125\n", + "\n", + "$MSE_list[[72]][[90]]\n", + "[1] 3.370199\n", + "\n", + "$MSE_list[[72]][[91]]\n", + "[1] 5.536578\n", + "\n", + "$MSE_list[[72]][[92]]\n", + "[1] 3.539018\n", + "\n", + "$MSE_list[[72]][[93]]\n", + "[1] 7.846821\n", + "\n", + "$MSE_list[[72]][[94]]\n", + "[1] 2.940294\n", + "\n", + "$MSE_list[[72]][[95]]\n", + "[1] 5.937011\n", + "\n", + "$MSE_list[[72]][[96]]\n", + "[1] 7.285472\n", + "\n", + "$MSE_list[[72]][[97]]\n", + "[1] 8.038951\n", + "\n", + "$MSE_list[[72]][[98]]\n", + "[1] 7.120518\n", + "\n", + "$MSE_list[[72]][[99]]\n", + "[1] 8.027157\n", + "\n", + "$MSE_list[[72]][[100]]\n", + "[1] 0.4641744\n", + "\n", + "\n", + "$MSE_list[[73]]\n", + "$MSE_list[[73]][[1]]\n", + "[1] 2.366647\n", + "\n", + "$MSE_list[[73]][[2]]\n", + "[1] 2.776013\n", + "\n", + "$MSE_list[[73]][[3]]\n", + "[1] 2.386131\n", + "\n", + "$MSE_list[[73]][[4]]\n", + "[1] 4.494072\n", + "\n", + "$MSE_list[[73]][[5]]\n", + "[1] 5.704793\n", + "\n", + "$MSE_list[[73]][[6]]\n", + "[1] 2.021071\n", + "\n", + "$MSE_list[[73]][[7]]\n", + "[1] 3.032771\n", + "\n", + "$MSE_list[[73]][[8]]\n", + "[1] 1.265857\n", + "\n", + "$MSE_list[[73]][[9]]\n", + "[1] 2.606636\n", + "\n", + "$MSE_list[[73]][[10]]\n", + "[1] 0.9682716\n", + "\n", + "$MSE_list[[73]][[11]]\n", + "[1] 1.261532\n", + "\n", + "$MSE_list[[73]][[12]]\n", + "[1] 3.02362\n", + "\n", + "$MSE_list[[73]][[13]]\n", + "[1] 6.192798\n", + "\n", + "$MSE_list[[73]][[14]]\n", + "[1] 4.158659\n", + "\n", + "$MSE_list[[73]][[15]]\n", + "[1] 2.916401\n", + "\n", + "$MSE_list[[73]][[16]]\n", + "[1] 1.186263\n", + "\n", + "$MSE_list[[73]][[17]]\n", + "[1] 3.62367\n", + "\n", + "$MSE_list[[73]][[18]]\n", + "[1] 3.13476\n", + "\n", + "$MSE_list[[73]][[19]]\n", + "[1] 1.167576\n", + "\n", + "$MSE_list[[73]][[20]]\n", + "[1] 2.133713\n", + "\n", + "$MSE_list[[73]][[21]]\n", + "[1] 2.305086\n", + "\n", + "$MSE_list[[73]][[22]]\n", + "[1] 3.281134\n", + "\n", + "$MSE_list[[73]][[23]]\n", + "[1] 0.9104685\n", + "\n", + "$MSE_list[[73]][[24]]\n", + "[1] 2.829348\n", + "\n", + "$MSE_list[[73]][[25]]\n", + "[1] 7.174548\n", + "\n", + "$MSE_list[[73]][[26]]\n", + "[1] 9.271026\n", + "\n", + "$MSE_list[[73]][[27]]\n", + "[1] 4.232983\n", + "\n", + "$MSE_list[[73]][[28]]\n", + "[1] 2.739121\n", + "\n", + "$MSE_list[[73]][[29]]\n", + "[1] 2.154936\n", + "\n", + "$MSE_list[[73]][[30]]\n", + "[1] 2.117629\n", + "\n", + "$MSE_list[[73]][[31]]\n", + "[1] 7.761526\n", + "\n", + "$MSE_list[[73]][[32]]\n", + "[1] 3.154978\n", + "\n", + "$MSE_list[[73]][[33]]\n", + "[1] 4.16488\n", + "\n", + "$MSE_list[[73]][[34]]\n", + "[1] 1.995225\n", + "\n", + "$MSE_list[[73]][[35]]\n", + "[1] 7.144608\n", + "\n", + "$MSE_list[[73]][[36]]\n", + "[1] 1.639968\n", + "\n", + "$MSE_list[[73]][[37]]\n", + "[1] 9.299886\n", + "\n", + "$MSE_list[[73]][[38]]\n", + "[1] 1.004219\n", + "\n", + "$MSE_list[[73]][[39]]\n", + "[1] 4.146618\n", + "\n", + "$MSE_list[[73]][[40]]\n", + "[1] 4.055976\n", + "\n", + "$MSE_list[[73]][[41]]\n", + "[1] 3.816313\n", + "\n", + "$MSE_list[[73]][[42]]\n", + "[1] 5.496213\n", + "\n", + "$MSE_list[[73]][[43]]\n", + "[1] 2.782934\n", + "\n", + "$MSE_list[[73]][[44]]\n", + "[1] 4.631006\n", + "\n", + "$MSE_list[[73]][[45]]\n", + "[1] 7.416267\n", + "\n", + "$MSE_list[[73]][[46]]\n", + "[1] 4.981591\n", + "\n", + "$MSE_list[[73]][[47]]\n", + "[1] 3.874777\n", + "\n", + "$MSE_list[[73]][[48]]\n", + "[1] 3.578084\n", + "\n", + "$MSE_list[[73]][[49]]\n", + "[1] 2.418214\n", + "\n", + "$MSE_list[[73]][[50]]\n", + "[1] 4.060181\n", + "\n", + "$MSE_list[[73]][[51]]\n", + "[1] 1.739339\n", + "\n", + "$MSE_list[[73]][[52]]\n", + "[1] 2.303944\n", + "\n", + "$MSE_list[[73]][[53]]\n", + "[1] 3.473102\n", + "\n", + "$MSE_list[[73]][[54]]\n", + "[1] 3.667944\n", + "\n", + "$MSE_list[[73]][[55]]\n", + "[1] 1.661381\n", + "\n", + "$MSE_list[[73]][[56]]\n", + "[1] 3.526632\n", + "\n", + "$MSE_list[[73]][[57]]\n", + "[1] 4.325712\n", + "\n", + "$MSE_list[[73]][[58]]\n", + "[1] 5.271438\n", + "\n", + "$MSE_list[[73]][[59]]\n", + "[1] 0.9179961\n", + "\n", + "$MSE_list[[73]][[60]]\n", + "[1] 4.948186\n", + "\n", + "$MSE_list[[73]][[61]]\n", + "[1] 3.154757\n", + "\n", + "$MSE_list[[73]][[62]]\n", + "[1] 1.349289\n", + "\n", + "$MSE_list[[73]][[63]]\n", + "[1] 4.411783\n", + "\n", + "$MSE_list[[73]][[64]]\n", + "[1] 6.390881\n", + "\n", + "$MSE_list[[73]][[65]]\n", + "[1] 1.14729\n", + "\n", + "$MSE_list[[73]][[66]]\n", + "[1] 3.515727\n", + "\n", + "$MSE_list[[73]][[67]]\n", + "[1] 6.532388\n", + "\n", + "$MSE_list[[73]][[68]]\n", + "[1] 8.476512\n", + "\n", + "$MSE_list[[73]][[69]]\n", + "[1] 2.179891\n", + "\n", + "$MSE_list[[73]][[70]]\n", + "[1] 3.583478\n", + "\n", + "$MSE_list[[73]][[71]]\n", + "[1] 4.463379\n", + "\n", + "$MSE_list[[73]][[72]]\n", + "[1] 0.7420674\n", + "\n", + "$MSE_list[[73]][[73]]\n", + "[1] 1.778906\n", + "\n", + "$MSE_list[[73]][[74]]\n", + "[1] 7.031032\n", + "\n", + "$MSE_list[[73]][[75]]\n", + "[1] 6.79708\n", + "\n", + "$MSE_list[[73]][[76]]\n", + "[1] 1.668779\n", + "\n", + "$MSE_list[[73]][[77]]\n", + "[1] 1.659307\n", + "\n", + "$MSE_list[[73]][[78]]\n", + "[1] 2.066412\n", + "\n", + "$MSE_list[[73]][[79]]\n", + "[1] 4.618808\n", + "\n", + "$MSE_list[[73]][[80]]\n", + "[1] 2.226083\n", + "\n", + "$MSE_list[[73]][[81]]\n", + "[1] 4.524761\n", + "\n", + "$MSE_list[[73]][[82]]\n", + "[1] 6.760632\n", + "\n", + "$MSE_list[[73]][[83]]\n", + "[1] 3.962912\n", + "\n", + "$MSE_list[[73]][[84]]\n", + "[1] 1.605972\n", + "\n", + "$MSE_list[[73]][[85]]\n", + "[1] 3.225191\n", + "\n", + "$MSE_list[[73]][[86]]\n", + "[1] 5.445406\n", + "\n", + "$MSE_list[[73]][[87]]\n", + "[1] 1.265978\n", + "\n", + "$MSE_list[[73]][[88]]\n", + "[1] 4.417488\n", + "\n", + "$MSE_list[[73]][[89]]\n", + "[1] 1.958967\n", + "\n", + "$MSE_list[[73]][[90]]\n", + "[1] 1.948444\n", + "\n", + "$MSE_list[[73]][[91]]\n", + "[1] 2.483407\n", + "\n", + "$MSE_list[[73]][[92]]\n", + "[1] 1.847674\n", + "\n", + "$MSE_list[[73]][[93]]\n", + "[1] 4.604591\n", + "\n", + "$MSE_list[[73]][[94]]\n", + "[1] 2.145582\n", + "\n", + "$MSE_list[[73]][[95]]\n", + "[1] 6.192123\n", + "\n", + "$MSE_list[[73]][[96]]\n", + "[1] 6.174721\n", + "\n", + "$MSE_list[[73]][[97]]\n", + "[1] 5.045109\n", + "\n", + "$MSE_list[[73]][[98]]\n", + "[1] 2.628071\n", + "\n", + "$MSE_list[[73]][[99]]\n", + "[1] 10.99504\n", + "\n", + "$MSE_list[[73]][[100]]\n", + "[1] 1.749076\n", + "\n", + "\n", + "$MSE_list[[74]]\n", + "$MSE_list[[74]][[1]]\n", + "[1] 5.623981\n", + "\n", + "$MSE_list[[74]][[2]]\n", + "[1] 5.686413\n", + "\n", + "$MSE_list[[74]][[3]]\n", + "[1] 2.361968\n", + "\n", + "$MSE_list[[74]][[4]]\n", + "[1] 0.8555639\n", + "\n", + "$MSE_list[[74]][[5]]\n", + "[1] 2.598862\n", + "\n", + "$MSE_list[[74]][[6]]\n", + "[1] 7.600414\n", + "\n", + "$MSE_list[[74]][[7]]\n", + "[1] 4.583812\n", + "\n", + "$MSE_list[[74]][[8]]\n", + "[1] 5.363124\n", + "\n", + "$MSE_list[[74]][[9]]\n", + "[1] 1.326558\n", + "\n", + "$MSE_list[[74]][[10]]\n", + "[1] 0.8831318\n", + "\n", + "$MSE_list[[74]][[11]]\n", + "[1] 6.252861\n", + "\n", + "$MSE_list[[74]][[12]]\n", + "[1] 3.248229\n", + "\n", + "$MSE_list[[74]][[13]]\n", + "[1] 3.933125\n", + "\n", + "$MSE_list[[74]][[14]]\n", + "[1] 2.664473\n", + "\n", + "$MSE_list[[74]][[15]]\n", + "[1] 6.873197\n", + "\n", + "$MSE_list[[74]][[16]]\n", + "[1] 0.7273468\n", + "\n", + "$MSE_list[[74]][[17]]\n", + "[1] 3.956419\n", + "\n", + "$MSE_list[[74]][[18]]\n", + "[1] 3.556057\n", + "\n", + "$MSE_list[[74]][[19]]\n", + "[1] 4.555857\n", + "\n", + "$MSE_list[[74]][[20]]\n", + "[1] 2.20465\n", + "\n", + "$MSE_list[[74]][[21]]\n", + "[1] 5.05335\n", + "\n", + "$MSE_list[[74]][[22]]\n", + "[1] 4.423424\n", + "\n", + "$MSE_list[[74]][[23]]\n", + "[1] 6.782226\n", + "\n", + "$MSE_list[[74]][[24]]\n", + "[1] 2.426288\n", + "\n", + "$MSE_list[[74]][[25]]\n", + "[1] 1.434002\n", + "\n", + "$MSE_list[[74]][[26]]\n", + "[1] 3.824721\n", + "\n", + "$MSE_list[[74]][[27]]\n", + "[1] 4.829255\n", + "\n", + "$MSE_list[[74]][[28]]\n", + "[1] 3.64793\n", + "\n", + "$MSE_list[[74]][[29]]\n", + "[1] 2.947633\n", + "\n", + "$MSE_list[[74]][[30]]\n", + "[1] 3.351127\n", + "\n", + "$MSE_list[[74]][[31]]\n", + "[1] 1.102139\n", + "\n", + "$MSE_list[[74]][[32]]\n", + "[1] 2.648293\n", + "\n", + "$MSE_list[[74]][[33]]\n", + "[1] 2.228495\n", + "\n", + "$MSE_list[[74]][[34]]\n", + "[1] 4.709065\n", + "\n", + "$MSE_list[[74]][[35]]\n", + "[1] 2.491564\n", + "\n", + "$MSE_list[[74]][[36]]\n", + "[1] 1.470591\n", + "\n", + "$MSE_list[[74]][[37]]\n", + "[1] 2.813388\n", + "\n", + "$MSE_list[[74]][[38]]\n", + "[1] 4.332882\n", + "\n", + "$MSE_list[[74]][[39]]\n", + "[1] 2.468016\n", + "\n", + "$MSE_list[[74]][[40]]\n", + "[1] 4.465789\n", + "\n", + "$MSE_list[[74]][[41]]\n", + "[1] 3.671205\n", + "\n", + "$MSE_list[[74]][[42]]\n", + "[1] 3.705392\n", + "\n", + "$MSE_list[[74]][[43]]\n", + "[1] 2.884277\n", + "\n", + "$MSE_list[[74]][[44]]\n", + "[1] 5.040063\n", + "\n", + "$MSE_list[[74]][[45]]\n", + "[1] 6.14472\n", + "\n", + "$MSE_list[[74]][[46]]\n", + "[1] 1.976417\n", + "\n", + "$MSE_list[[74]][[47]]\n", + "[1] 3.841613\n", + "\n", + "$MSE_list[[74]][[48]]\n", + "[1] 5.505925\n", + "\n", + "$MSE_list[[74]][[49]]\n", + "[1] 6.885395\n", + "\n", + "$MSE_list[[74]][[50]]\n", + "[1] 1.335616\n", + "\n", + "$MSE_list[[74]][[51]]\n", + "[1] 4.811917\n", + "\n", + "$MSE_list[[74]][[52]]\n", + "[1] 8.497639\n", + "\n", + "$MSE_list[[74]][[53]]\n", + "[1] 5.443207\n", + "\n", + "$MSE_list[[74]][[54]]\n", + "[1] 2.711776\n", + "\n", + "$MSE_list[[74]][[55]]\n", + "[1] 3.61171\n", + "\n", + "$MSE_list[[74]][[56]]\n", + "[1] 2.340124\n", + "\n", + "$MSE_list[[74]][[57]]\n", + "[1] 4.113457\n", + "\n", + "$MSE_list[[74]][[58]]\n", + "[1] 2.020869\n", + "\n", + "$MSE_list[[74]][[59]]\n", + "[1] 0.7315849\n", + "\n", + "$MSE_list[[74]][[60]]\n", + "[1] 1.972852\n", + "\n", + "$MSE_list[[74]][[61]]\n", + "[1] 2.908028\n", + "\n", + "$MSE_list[[74]][[62]]\n", + "[1] 1.273396\n", + "\n", + "$MSE_list[[74]][[63]]\n", + "[1] 0.9688659\n", + "\n", + "$MSE_list[[74]][[64]]\n", + "[1] 3.113564\n", + "\n", + "$MSE_list[[74]][[65]]\n", + "[1] 5.968335\n", + "\n", + "$MSE_list[[74]][[66]]\n", + "[1] 2.387377\n", + "\n", + "$MSE_list[[74]][[67]]\n", + "[1] 5.238474\n", + "\n", + "$MSE_list[[74]][[68]]\n", + "[1] 2.003409\n", + "\n", + "$MSE_list[[74]][[69]]\n", + "[1] 4.658766\n", + "\n", + "$MSE_list[[74]][[70]]\n", + "[1] 5.889891\n", + "\n", + "$MSE_list[[74]][[71]]\n", + "[1] 4.806987\n", + "\n", + "$MSE_list[[74]][[72]]\n", + "[1] 1.371423\n", + "\n", + "$MSE_list[[74]][[73]]\n", + "[1] 1.704996\n", + "\n", + "$MSE_list[[74]][[74]]\n", + "[1] 2.282667\n", + "\n", + "$MSE_list[[74]][[75]]\n", + "[1] 2.330438\n", + "\n", + "$MSE_list[[74]][[76]]\n", + "[1] 2.339392\n", + "\n", + "$MSE_list[[74]][[77]]\n", + "[1] 6.144795\n", + "\n", + "$MSE_list[[74]][[78]]\n", + "[1] 1.065071\n", + "\n", + "$MSE_list[[74]][[79]]\n", + "[1] 7.448409\n", + "\n", + "$MSE_list[[74]][[80]]\n", + "[1] 1.731921\n", + "\n", + "$MSE_list[[74]][[81]]\n", + "[1] 5.846924\n", + "\n", + "$MSE_list[[74]][[82]]\n", + "[1] 0.7211302\n", + "\n", + "$MSE_list[[74]][[83]]\n", + "[1] 8.700255\n", + "\n", + "$MSE_list[[74]][[84]]\n", + "[1] 1.558106\n", + "\n", + "$MSE_list[[74]][[85]]\n", + "[1] 0.5230624\n", + "\n", + "$MSE_list[[74]][[86]]\n", + "[1] 4.036002\n", + "\n", + "$MSE_list[[74]][[87]]\n", + "[1] 3.521908\n", + "\n", + "$MSE_list[[74]][[88]]\n", + "[1] 1.360609\n", + "\n", + "$MSE_list[[74]][[89]]\n", + "[1] 6.548838\n", + "\n", + "$MSE_list[[74]][[90]]\n", + "[1] 3.824787\n", + "\n", + "$MSE_list[[74]][[91]]\n", + "[1] 6.77979\n", + "\n", + "$MSE_list[[74]][[92]]\n", + "[1] 2.593403\n", + "\n", + "$MSE_list[[74]][[93]]\n", + "[1] 3.757996\n", + "\n", + "$MSE_list[[74]][[94]]\n", + "[1] 5.20373\n", + "\n", + "$MSE_list[[74]][[95]]\n", + "[1] 2.257876\n", + "\n", + "$MSE_list[[74]][[96]]\n", + "[1] 3.009243\n", + "\n", + "$MSE_list[[74]][[97]]\n", + "[1] 4.941987\n", + "\n", + "$MSE_list[[74]][[98]]\n", + "[1] 4.744252\n", + "\n", + "$MSE_list[[74]][[99]]\n", + "[1] 1.652263\n", + "\n", + "$MSE_list[[74]][[100]]\n", + "[1] 3.737227\n", + "\n", + "\n", + "$MSE_list[[75]]\n", + "$MSE_list[[75]][[1]]\n", + "[1] 7.905318\n", + "\n", + "$MSE_list[[75]][[2]]\n", + "[1] 7.202577\n", + "\n", + "$MSE_list[[75]][[3]]\n", + "[1] 5.65334\n", + "\n", + "$MSE_list[[75]][[4]]\n", + "[1] 7.569\n", + "\n", + "$MSE_list[[75]][[5]]\n", + "[1] 2.589393\n", + "\n", + "$MSE_list[[75]][[6]]\n", + "[1] 5.497765\n", + "\n", + "$MSE_list[[75]][[7]]\n", + "[1] 5.181264\n", + "\n", + "$MSE_list[[75]][[8]]\n", + "[1] 1.578924\n", + "\n", + "$MSE_list[[75]][[9]]\n", + "[1] 1.755362\n", + "\n", + "$MSE_list[[75]][[10]]\n", + "[1] 3.169238\n", + "\n", + "$MSE_list[[75]][[11]]\n", + "[1] 7.723216\n", + "\n", + "$MSE_list[[75]][[12]]\n", + "[1] 7.67494\n", + "\n", + "$MSE_list[[75]][[13]]\n", + "[1] 7.979214\n", + "\n", + "$MSE_list[[75]][[14]]\n", + "[1] 4.005605\n", + "\n", + "$MSE_list[[75]][[15]]\n", + "[1] 6.881219\n", + "\n", + "$MSE_list[[75]][[16]]\n", + "[1] 8.606914\n", + "\n", + "$MSE_list[[75]][[17]]\n", + "[1] 1.539392\n", + "\n", + "$MSE_list[[75]][[18]]\n", + "[1] 6.522062\n", + "\n", + "$MSE_list[[75]][[19]]\n", + "[1] 3.0246\n", + "\n", + "$MSE_list[[75]][[20]]\n", + "[1] 2.846765\n", + "\n", + "$MSE_list[[75]][[21]]\n", + "[1] 7.036246\n", + "\n", + "$MSE_list[[75]][[22]]\n", + "[1] 4.709412\n", + "\n", + "$MSE_list[[75]][[23]]\n", + "[1] 5.256772\n", + "\n", + "$MSE_list[[75]][[24]]\n", + "[1] 5.272532\n", + "\n", + "$MSE_list[[75]][[25]]\n", + "[1] 5.244784\n", + "\n", + "$MSE_list[[75]][[26]]\n", + "[1] 4.421611\n", + "\n", + "$MSE_list[[75]][[27]]\n", + "[1] 3.356026\n", + "\n", + "$MSE_list[[75]][[28]]\n", + "[1] 5.267353\n", + "\n", + "$MSE_list[[75]][[29]]\n", + "[1] 5.546392\n", + "\n", + "$MSE_list[[75]][[30]]\n", + "[1] 4.804478\n", + "\n", + "$MSE_list[[75]][[31]]\n", + "[1] 2.008777\n", + "\n", + "$MSE_list[[75]][[32]]\n", + "[1] 5.6825\n", + "\n", + "$MSE_list[[75]][[33]]\n", + "[1] 1.644848\n", + "\n", + "$MSE_list[[75]][[34]]\n", + "[1] 4.779966\n", + "\n", + "$MSE_list[[75]][[35]]\n", + "[1] 7.772526\n", + "\n", + "$MSE_list[[75]][[36]]\n", + "[1] 10.13241\n", + "\n", + "$MSE_list[[75]][[37]]\n", + "[1] 5.984605\n", + "\n", + "$MSE_list[[75]][[38]]\n", + "[1] 7.209904\n", + "\n", + "$MSE_list[[75]][[39]]\n", + "[1] 3.99068\n", + "\n", + "$MSE_list[[75]][[40]]\n", + "[1] 7.15105\n", + "\n", + "$MSE_list[[75]][[41]]\n", + "[1] 13.10312\n", + "\n", + "$MSE_list[[75]][[42]]\n", + "[1] 5.425711\n", + "\n", + "$MSE_list[[75]][[43]]\n", + "[1] 3.554647\n", + "\n", + "$MSE_list[[75]][[44]]\n", + "[1] 8.811427\n", + "\n", + "$MSE_list[[75]][[45]]\n", + "[1] 4.238042\n", + "\n", + "$MSE_list[[75]][[46]]\n", + "[1] 6.158286\n", + "\n", + "$MSE_list[[75]][[47]]\n", + "[1] 8.917755\n", + "\n", + "$MSE_list[[75]][[48]]\n", + "[1] 1.771211\n", + "\n", + "$MSE_list[[75]][[49]]\n", + "[1] 4.788057\n", + "\n", + "$MSE_list[[75]][[50]]\n", + "[1] 2.567002\n", + "\n", + "$MSE_list[[75]][[51]]\n", + "[1] 5.538783\n", + "\n", + "$MSE_list[[75]][[52]]\n", + "[1] 4.7166\n", + "\n", + "$MSE_list[[75]][[53]]\n", + "[1] 8.03303\n", + "\n", + "$MSE_list[[75]][[54]]\n", + "[1] 5.294299\n", + "\n", + "$MSE_list[[75]][[55]]\n", + "[1] 2.684323\n", + "\n", + "$MSE_list[[75]][[56]]\n", + "[1] 3.582021\n", + "\n", + "$MSE_list[[75]][[57]]\n", + "[1] 4.136835\n", + "\n", + "$MSE_list[[75]][[58]]\n", + "[1] 7.834677\n", + "\n", + "$MSE_list[[75]][[59]]\n", + "[1] 1.701244\n", + "\n", + "$MSE_list[[75]][[60]]\n", + "[1] 5.345263\n", + "\n", + "$MSE_list[[75]][[61]]\n", + "[1] 3.293078\n", + "\n", + "$MSE_list[[75]][[62]]\n", + "[1] 3.07808\n", + "\n", + "$MSE_list[[75]][[63]]\n", + "[1] 4.468107\n", + "\n", + "$MSE_list[[75]][[64]]\n", + "[1] 6.706033\n", + "\n", + "$MSE_list[[75]][[65]]\n", + "[1] 9.516779\n", + "\n", + "$MSE_list[[75]][[66]]\n", + "[1] 9.352353\n", + "\n", + "$MSE_list[[75]][[67]]\n", + "[1] 5.707365\n", + "\n", + "$MSE_list[[75]][[68]]\n", + "[1] 9.660691\n", + "\n", + "$MSE_list[[75]][[69]]\n", + "[1] 1.510421\n", + "\n", + "$MSE_list[[75]][[70]]\n", + "[1] 7.237011\n", + "\n", + "$MSE_list[[75]][[71]]\n", + "[1] 6.777856\n", + "\n", + "$MSE_list[[75]][[72]]\n", + "[1] 3.492771\n", + "\n", + "$MSE_list[[75]][[73]]\n", + "[1] 2.318455\n", + "\n", + "$MSE_list[[75]][[74]]\n", + "[1] 7.239552\n", + "\n", + "$MSE_list[[75]][[75]]\n", + "[1] 3.827547\n", + "\n", + "$MSE_list[[75]][[76]]\n", + "[1] 5.352101\n", + "\n", + "$MSE_list[[75]][[77]]\n", + "[1] 2.321388\n", + "\n", + "$MSE_list[[75]][[78]]\n", + "[1] 5.208024\n", + "\n", + "$MSE_list[[75]][[79]]\n", + "[1] 7.490502\n", + "\n", + "$MSE_list[[75]][[80]]\n", + "[1] 1.781985\n", + "\n", + "$MSE_list[[75]][[81]]\n", + "[1] 2.03206\n", + "\n", + "$MSE_list[[75]][[82]]\n", + "[1] 7.971356\n", + "\n", + "$MSE_list[[75]][[83]]\n", + "[1] 3.57127\n", + "\n", + "$MSE_list[[75]][[84]]\n", + "[1] 8.566618\n", + "\n", + "$MSE_list[[75]][[85]]\n", + "[1] 5.614338\n", + "\n", + "$MSE_list[[75]][[86]]\n", + "[1] 3.574448\n", + "\n", + "$MSE_list[[75]][[87]]\n", + "[1] 9.397127\n", + "\n", + "$MSE_list[[75]][[88]]\n", + "[1] 3.656011\n", + "\n", + "$MSE_list[[75]][[89]]\n", + "[1] 9.465534\n", + "\n", + "$MSE_list[[75]][[90]]\n", + "[1] 8.373656\n", + "\n", + "$MSE_list[[75]][[91]]\n", + "[1] 2.902634\n", + "\n", + "$MSE_list[[75]][[92]]\n", + "[1] 3.278555\n", + "\n", + "$MSE_list[[75]][[93]]\n", + "[1] 6.265587\n", + "\n", + "$MSE_list[[75]][[94]]\n", + "[1] 5.211399\n", + "\n", + "$MSE_list[[75]][[95]]\n", + "[1] 4.294191\n", + "\n", + "$MSE_list[[75]][[96]]\n", + "[1] 6.101893\n", + "\n", + "$MSE_list[[75]][[97]]\n", + "[1] 7.834562\n", + "\n", + "$MSE_list[[75]][[98]]\n", + "[1] 4.635782\n", + "\n", + "$MSE_list[[75]][[99]]\n", + "[1] 10.80923\n", + "\n", + "$MSE_list[[75]][[100]]\n", + "[1] 4.784104\n", + "\n", + "\n", + "$MSE_list[[76]]\n", + "$MSE_list[[76]][[1]]\n", + "[1] 1.928583\n", + "\n", + "$MSE_list[[76]][[2]]\n", + "[1] 2.456679\n", + "\n", + "$MSE_list[[76]][[3]]\n", + "[1] 5.409831\n", + "\n", + "$MSE_list[[76]][[4]]\n", + "[1] 4.238545\n", + "\n", + "$MSE_list[[76]][[5]]\n", + "[1] 3.853956\n", + "\n", + "$MSE_list[[76]][[6]]\n", + "[1] 3.643504\n", + "\n", + "$MSE_list[[76]][[7]]\n", + "[1] 5.481602\n", + "\n", + "$MSE_list[[76]][[8]]\n", + "[1] 2.370884\n", + "\n", + "$MSE_list[[76]][[9]]\n", + "[1] 3.806569\n", + "\n", + "$MSE_list[[76]][[10]]\n", + "[1] 3.845419\n", + "\n", + "$MSE_list[[76]][[11]]\n", + "[1] 7.850476\n", + "\n", + "$MSE_list[[76]][[12]]\n", + "[1] 1.257894\n", + "\n", + "$MSE_list[[76]][[13]]\n", + "[1] 4.332548\n", + "\n", + "$MSE_list[[76]][[14]]\n", + "[1] 2.166105\n", + "\n", + "$MSE_list[[76]][[15]]\n", + "[1] 3.256475\n", + "\n", + "$MSE_list[[76]][[16]]\n", + "[1] 2.783186\n", + "\n", + "$MSE_list[[76]][[17]]\n", + "[1] 7.157398\n", + "\n", + "$MSE_list[[76]][[18]]\n", + "[1] 3.731211\n", + "\n", + "$MSE_list[[76]][[19]]\n", + "[1] 1.961177\n", + "\n", + "$MSE_list[[76]][[20]]\n", + "[1] 1.052821\n", + "\n", + "$MSE_list[[76]][[21]]\n", + "[1] 4.795102\n", + "\n", + "$MSE_list[[76]][[22]]\n", + "[1] 4.573004\n", + "\n", + "$MSE_list[[76]][[23]]\n", + "[1] 4.140583\n", + "\n", + "$MSE_list[[76]][[24]]\n", + "[1] 4.075429\n", + "\n", + "$MSE_list[[76]][[25]]\n", + "[1] 8.773233\n", + "\n", + "$MSE_list[[76]][[26]]\n", + "[1] 1.095825\n", + "\n", + "$MSE_list[[76]][[27]]\n", + "[1] 1.68039\n", + "\n", + "$MSE_list[[76]][[28]]\n", + "[1] 2.509399\n", + "\n", + "$MSE_list[[76]][[29]]\n", + "[1] 1.484137\n", + "\n", + "$MSE_list[[76]][[30]]\n", + "[1] 2.558103\n", + "\n", + "$MSE_list[[76]][[31]]\n", + "[1] 7.084339\n", + "\n", + "$MSE_list[[76]][[32]]\n", + "[1] 6.257387\n", + "\n", + "$MSE_list[[76]][[33]]\n", + "[1] 1.825974\n", + "\n", + "$MSE_list[[76]][[34]]\n", + "[1] 2.69747\n", + "\n", + "$MSE_list[[76]][[35]]\n", + "[1] 2.109466\n", + "\n", + "$MSE_list[[76]][[36]]\n", + "[1] 5.040192\n", + "\n", + "$MSE_list[[76]][[37]]\n", + "[1] 2.31703\n", + "\n", + "$MSE_list[[76]][[38]]\n", + "[1] 3.028247\n", + "\n", + "$MSE_list[[76]][[39]]\n", + "[1] 3.161156\n", + "\n", + "$MSE_list[[76]][[40]]\n", + "[1] 0.6075395\n", + "\n", + "$MSE_list[[76]][[41]]\n", + "[1] 4.210059\n", + "\n", + "$MSE_list[[76]][[42]]\n", + "[1] 7.461425\n", + "\n", + "$MSE_list[[76]][[43]]\n", + "[1] 6.133942\n", + "\n", + "$MSE_list[[76]][[44]]\n", + "[1] 4.290102\n", + "\n", + "$MSE_list[[76]][[45]]\n", + "[1] 3.217566\n", + "\n", + "$MSE_list[[76]][[46]]\n", + "[1] 4.750376\n", + "\n", + "$MSE_list[[76]][[47]]\n", + "[1] 3.010935\n", + "\n", + "$MSE_list[[76]][[48]]\n", + "[1] 4.805758\n", + "\n", + "$MSE_list[[76]][[49]]\n", + "[1] 4.4871\n", + "\n", + "$MSE_list[[76]][[50]]\n", + "[1] 3.200943\n", + "\n", + "$MSE_list[[76]][[51]]\n", + "[1] 4.22594\n", + "\n", + "$MSE_list[[76]][[52]]\n", + "[1] 4.775487\n", + "\n", + "$MSE_list[[76]][[53]]\n", + "[1] 2.728303\n", + "\n", + "$MSE_list[[76]][[54]]\n", + "[1] 6.080089\n", + "\n", + "$MSE_list[[76]][[55]]\n", + "[1] 6.302339\n", + "\n", + "$MSE_list[[76]][[56]]\n", + "[1] 5.518234\n", + "\n", + "$MSE_list[[76]][[57]]\n", + "[1] 7.121552\n", + "\n", + "$MSE_list[[76]][[58]]\n", + "[1] 2.755279\n", + "\n", + "$MSE_list[[76]][[59]]\n", + "[1] 1.881965\n", + "\n", + "$MSE_list[[76]][[60]]\n", + "[1] 4.631666\n", + "\n", + "$MSE_list[[76]][[61]]\n", + "[1] 5.753573\n", + "\n", + "$MSE_list[[76]][[62]]\n", + "[1] 3.563473\n", + "\n", + "$MSE_list[[76]][[63]]\n", + "[1] 5.200622\n", + "\n", + "$MSE_list[[76]][[64]]\n", + "[1] 3.066907\n", + "\n", + "$MSE_list[[76]][[65]]\n", + "[1] 4.117325\n", + "\n", + "$MSE_list[[76]][[66]]\n", + "[1] 3.000382\n", + "\n", + "$MSE_list[[76]][[67]]\n", + "[1] 5.095666\n", + "\n", + "$MSE_list[[76]][[68]]\n", + "[1] 7.408029\n", + "\n", + "$MSE_list[[76]][[69]]\n", + "[1] 6.314718\n", + "\n", + "$MSE_list[[76]][[70]]\n", + "[1] 6.041693\n", + "\n", + "$MSE_list[[76]][[71]]\n", + "[1] 2.864565\n", + "\n", + "$MSE_list[[76]][[72]]\n", + "[1] 0.6404145\n", + "\n", + "$MSE_list[[76]][[73]]\n", + "[1] 7.932057\n", + "\n", + "$MSE_list[[76]][[74]]\n", + "[1] 3.72416\n", + "\n", + "$MSE_list[[76]][[75]]\n", + "[1] 6.369218\n", + "\n", + "$MSE_list[[76]][[76]]\n", + "[1] 1.521857\n", + "\n", + "$MSE_list[[76]][[77]]\n", + "[1] 3.826046\n", + "\n", + "$MSE_list[[76]][[78]]\n", + "[1] 9.362797\n", + "\n", + "$MSE_list[[76]][[79]]\n", + "[1] 3.947508\n", + "\n", + "$MSE_list[[76]][[80]]\n", + "[1] 6.605836\n", + "\n", + "$MSE_list[[76]][[81]]\n", + "[1] 3.96457\n", + "\n", + "$MSE_list[[76]][[82]]\n", + "[1] 3.922191\n", + "\n", + "$MSE_list[[76]][[83]]\n", + "[1] 3.183554\n", + "\n", + "$MSE_list[[76]][[84]]\n", + "[1] 8.353169\n", + "\n", + "$MSE_list[[76]][[85]]\n", + "[1] 3.610026\n", + "\n", + "$MSE_list[[76]][[86]]\n", + "[1] 1.800756\n", + "\n", + "$MSE_list[[76]][[87]]\n", + "[1] 1.461704\n", + "\n", + "$MSE_list[[76]][[88]]\n", + "[1] 5.090507\n", + "\n", + "$MSE_list[[76]][[89]]\n", + "[1] 8.671754\n", + "\n", + "$MSE_list[[76]][[90]]\n", + "[1] 3.76282\n", + "\n", + "$MSE_list[[76]][[91]]\n", + "[1] 5.612728\n", + "\n", + "$MSE_list[[76]][[92]]\n", + "[1] 4.88969\n", + "\n", + "$MSE_list[[76]][[93]]\n", + "[1] 3.716549\n", + "\n", + "$MSE_list[[76]][[94]]\n", + "[1] 2.506744\n", + "\n", + "$MSE_list[[76]][[95]]\n", + "[1] 8.896967\n", + "\n", + "$MSE_list[[76]][[96]]\n", + "[1] 0.4586524\n", + "\n", + "$MSE_list[[76]][[97]]\n", + "[1] 1.922997\n", + "\n", + "$MSE_list[[76]][[98]]\n", + "[1] 7.494079\n", + "\n", + "$MSE_list[[76]][[99]]\n", + "[1] 4.675178\n", + "\n", + "$MSE_list[[76]][[100]]\n", + "[1] 4.497587\n", + "\n", + "\n", + "$MSE_list[[77]]\n", + "$MSE_list[[77]][[1]]\n", + "[1] 3.59028\n", + "\n", + "$MSE_list[[77]][[2]]\n", + "[1] 6.012513\n", + "\n", + "$MSE_list[[77]][[3]]\n", + "[1] 8.618265\n", + "\n", + "$MSE_list[[77]][[4]]\n", + "[1] 4.417744\n", + "\n", + "$MSE_list[[77]][[5]]\n", + "[1] 4.093511\n", + "\n", + "$MSE_list[[77]][[6]]\n", + "[1] 3.188012\n", + "\n", + "$MSE_list[[77]][[7]]\n", + "[1] 3.911453\n", + "\n", + "$MSE_list[[77]][[8]]\n", + "[1] 9.509658\n", + "\n", + "$MSE_list[[77]][[9]]\n", + "[1] 2.643168\n", + "\n", + "$MSE_list[[77]][[10]]\n", + "[1] 1.553876\n", + "\n", + "$MSE_list[[77]][[11]]\n", + "[1] 4.599532\n", + "\n", + "$MSE_list[[77]][[12]]\n", + "[1] 4.31513\n", + "\n", + "$MSE_list[[77]][[13]]\n", + "[1] 5.203581\n", + "\n", + "$MSE_list[[77]][[14]]\n", + "[1] 3.592615\n", + "\n", + "$MSE_list[[77]][[15]]\n", + "[1] 11.76288\n", + "\n", + "$MSE_list[[77]][[16]]\n", + "[1] 8.859364\n", + "\n", + "$MSE_list[[77]][[17]]\n", + "[1] 4.696847\n", + "\n", + "$MSE_list[[77]][[18]]\n", + "[1] 1.956799\n", + "\n", + "$MSE_list[[77]][[19]]\n", + "[1] 3.699494\n", + "\n", + "$MSE_list[[77]][[20]]\n", + "[1] 4.345422\n", + "\n", + "$MSE_list[[77]][[21]]\n", + "[1] 7.552804\n", + "\n", + "$MSE_list[[77]][[22]]\n", + "[1] 1.454559\n", + "\n", + "$MSE_list[[77]][[23]]\n", + "[1] 4.353108\n", + "\n", + "$MSE_list[[77]][[24]]\n", + "[1] 7.010942\n", + "\n", + "$MSE_list[[77]][[25]]\n", + "[1] 5.567805\n", + "\n", + "$MSE_list[[77]][[26]]\n", + "[1] 5.824283\n", + "\n", + "$MSE_list[[77]][[27]]\n", + "[1] 1.954778\n", + "\n", + "$MSE_list[[77]][[28]]\n", + "[1] 9.392373\n", + "\n", + "$MSE_list[[77]][[29]]\n", + "[1] 4.732434\n", + "\n", + "$MSE_list[[77]][[30]]\n", + "[1] 1.526037\n", + "\n", + "$MSE_list[[77]][[31]]\n", + "[1] 2.087189\n", + "\n", + "$MSE_list[[77]][[32]]\n", + "[1] 8.696568\n", + "\n", + "$MSE_list[[77]][[33]]\n", + "[1] 6.523449\n", + "\n", + "$MSE_list[[77]][[34]]\n", + "[1] 1.334494\n", + "\n", + "$MSE_list[[77]][[35]]\n", + "[1] 7.899207\n", + "\n", + "$MSE_list[[77]][[36]]\n", + "[1] 4.582304\n", + "\n", + "$MSE_list[[77]][[37]]\n", + "[1] 4.157881\n", + "\n", + "$MSE_list[[77]][[38]]\n", + "[1] 3.797426\n", + "\n", + "$MSE_list[[77]][[39]]\n", + "[1] 10.12331\n", + "\n", + "$MSE_list[[77]][[40]]\n", + "[1] 6.891885\n", + "\n", + "$MSE_list[[77]][[41]]\n", + "[1] 5.343\n", + "\n", + "$MSE_list[[77]][[42]]\n", + "[1] 2.437939\n", + "\n", + "$MSE_list[[77]][[43]]\n", + "[1] 5.358671\n", + "\n", + "$MSE_list[[77]][[44]]\n", + "[1] 3.488332\n", + "\n", + "$MSE_list[[77]][[45]]\n", + "[1] 6.534433\n", + "\n", + "$MSE_list[[77]][[46]]\n", + "[1] 3.524813\n", + "\n", + "$MSE_list[[77]][[47]]\n", + "[1] 4.643078\n", + "\n", + "$MSE_list[[77]][[48]]\n", + "[1] 4.485154\n", + "\n", + "$MSE_list[[77]][[49]]\n", + "[1] 3.232613\n", + "\n", + "$MSE_list[[77]][[50]]\n", + "[1] 2.760248\n", + "\n", + "$MSE_list[[77]][[51]]\n", + "[1] 1.973632\n", + "\n", + "$MSE_list[[77]][[52]]\n", + "[1] 1.001545\n", + "\n", + "$MSE_list[[77]][[53]]\n", + "[1] 5.169029\n", + "\n", + "$MSE_list[[77]][[54]]\n", + "[1] 6.641515\n", + "\n", + "$MSE_list[[77]][[55]]\n", + "[1] 8.668752\n", + "\n", + "$MSE_list[[77]][[56]]\n", + "[1] 5.227467\n", + "\n", + "$MSE_list[[77]][[57]]\n", + "[1] 7.068889\n", + "\n", + "$MSE_list[[77]][[58]]\n", + "[1] 4.042988\n", + "\n", + "$MSE_list[[77]][[59]]\n", + "[1] 6.741745\n", + "\n", + "$MSE_list[[77]][[60]]\n", + "[1] 2.009615\n", + "\n", + "$MSE_list[[77]][[61]]\n", + "[1] 2.938788\n", + "\n", + "$MSE_list[[77]][[62]]\n", + "[1] 3.091518\n", + "\n", + "$MSE_list[[77]][[63]]\n", + "[1] 3.748696\n", + "\n", + "$MSE_list[[77]][[64]]\n", + "[1] 6.611251\n", + "\n", + "$MSE_list[[77]][[65]]\n", + "[1] 4.570629\n", + "\n", + "$MSE_list[[77]][[66]]\n", + "[1] 4.010789\n", + "\n", + "$MSE_list[[77]][[67]]\n", + "[1] 8.158912\n", + "\n", + "$MSE_list[[77]][[68]]\n", + "[1] 7.263558\n", + "\n", + "$MSE_list[[77]][[69]]\n", + "[1] 5.918796\n", + "\n", + "$MSE_list[[77]][[70]]\n", + "[1] 5.520616\n", + "\n", + "$MSE_list[[77]][[71]]\n", + "[1] 3.783918\n", + "\n", + "$MSE_list[[77]][[72]]\n", + "[1] 2.644387\n", + "\n", + "$MSE_list[[77]][[73]]\n", + "[1] 5.772488\n", + "\n", + "$MSE_list[[77]][[74]]\n", + "[1] 5.5831\n", + "\n", + "$MSE_list[[77]][[75]]\n", + "[1] 4.19683\n", + "\n", + "$MSE_list[[77]][[76]]\n", + "[1] 6.998471\n", + "\n", + "$MSE_list[[77]][[77]]\n", + "[1] 9.182925\n", + "\n", + "$MSE_list[[77]][[78]]\n", + "[1] 4.30434\n", + "\n", + "$MSE_list[[77]][[79]]\n", + "[1] 5.269926\n", + "\n", + "$MSE_list[[77]][[80]]\n", + "[1] 5.643788\n", + "\n", + "$MSE_list[[77]][[81]]\n", + "[1] 5.044437\n", + "\n", + "$MSE_list[[77]][[82]]\n", + "[1] 8.002803\n", + "\n", + "$MSE_list[[77]][[83]]\n", + "[1] 6.172841\n", + "\n", + "$MSE_list[[77]][[84]]\n", + "[1] 8.379572\n", + "\n", + "$MSE_list[[77]][[85]]\n", + "[1] 3.199639\n", + "\n", + "$MSE_list[[77]][[86]]\n", + "[1] 2.759376\n", + "\n", + "$MSE_list[[77]][[87]]\n", + "[1] 5.244244\n", + "\n", + "$MSE_list[[77]][[88]]\n", + "[1] 9.887873\n", + "\n", + "$MSE_list[[77]][[89]]\n", + "[1] 5.391986\n", + "\n", + "$MSE_list[[77]][[90]]\n", + "[1] 2.882848\n", + "\n", + "$MSE_list[[77]][[91]]\n", + "[1] 5.539127\n", + "\n", + "$MSE_list[[77]][[92]]\n", + "[1] 2.120152\n", + "\n", + "$MSE_list[[77]][[93]]\n", + "[1] 5.809325\n", + "\n", + "$MSE_list[[77]][[94]]\n", + "[1] 3.405493\n", + "\n", + "$MSE_list[[77]][[95]]\n", + "[1] 4.297631\n", + "\n", + "$MSE_list[[77]][[96]]\n", + "[1] 6.961035\n", + "\n", + "$MSE_list[[77]][[97]]\n", + "[1] 4.871795\n", + "\n", + "$MSE_list[[77]][[98]]\n", + "[1] 3.170226\n", + "\n", + "$MSE_list[[77]][[99]]\n", + "[1] 9.126275\n", + "\n", + "$MSE_list[[77]][[100]]\n", + "[1] 5.124031\n", + "\n", + "\n", + "$MSE_list[[78]]\n", + "$MSE_list[[78]][[1]]\n", + "[1] 1.947937\n", + "\n", + "$MSE_list[[78]][[2]]\n", + "[1] 3.160673\n", + "\n", + "$MSE_list[[78]][[3]]\n", + "[1] 3.805562\n", + "\n", + "$MSE_list[[78]][[4]]\n", + "[1] 2.751623\n", + "\n", + "$MSE_list[[78]][[5]]\n", + "[1] 4.370639\n", + "\n", + "$MSE_list[[78]][[6]]\n", + "[1] 2.231694\n", + "\n", + "$MSE_list[[78]][[7]]\n", + "[1] 3.075353\n", + "\n", + "$MSE_list[[78]][[8]]\n", + "[1] 1.88067\n", + "\n", + "$MSE_list[[78]][[9]]\n", + "[1] 4.833427\n", + "\n", + "$MSE_list[[78]][[10]]\n", + "[1] 1.151563\n", + "\n", + "$MSE_list[[78]][[11]]\n", + "[1] 9.033313\n", + "\n", + "$MSE_list[[78]][[12]]\n", + "[1] 5.44925\n", + "\n", + "$MSE_list[[78]][[13]]\n", + "[1] 0.7651917\n", + "\n", + "$MSE_list[[78]][[14]]\n", + "[1] 2.092339\n", + "\n", + "$MSE_list[[78]][[15]]\n", + "[1] 5.304924\n", + "\n", + "$MSE_list[[78]][[16]]\n", + "[1] 2.009674\n", + "\n", + "$MSE_list[[78]][[17]]\n", + "[1] 9.662101\n", + "\n", + "$MSE_list[[78]][[18]]\n", + "[1] 5.924939\n", + "\n", + "$MSE_list[[78]][[19]]\n", + "[1] 4.297303\n", + "\n", + "$MSE_list[[78]][[20]]\n", + "[1] 1.197899\n", + "\n", + "$MSE_list[[78]][[21]]\n", + "[1] 5.210486\n", + "\n", + "$MSE_list[[78]][[22]]\n", + "[1] 2.676467\n", + "\n", + "$MSE_list[[78]][[23]]\n", + "[1] 1.165391\n", + "\n", + "$MSE_list[[78]][[24]]\n", + "[1] 1.14145\n", + "\n", + "$MSE_list[[78]][[25]]\n", + "[1] 2.213079\n", + "\n", + "$MSE_list[[78]][[26]]\n", + "[1] 3.630457\n", + "\n", + "$MSE_list[[78]][[27]]\n", + "[1] 6.357522\n", + "\n", + "$MSE_list[[78]][[28]]\n", + "[1] 4.68819\n", + "\n", + "$MSE_list[[78]][[29]]\n", + "[1] 3.265508\n", + "\n", + "$MSE_list[[78]][[30]]\n", + "[1] 5.494207\n", + "\n", + "$MSE_list[[78]][[31]]\n", + "[1] 5.823702\n", + "\n", + "$MSE_list[[78]][[32]]\n", + "[1] 3.758887\n", + "\n", + "$MSE_list[[78]][[33]]\n", + "[1] 2.943571\n", + "\n", + "$MSE_list[[78]][[34]]\n", + "[1] 13.17196\n", + "\n", + "$MSE_list[[78]][[35]]\n", + "[1] 2.321757\n", + "\n", + "$MSE_list[[78]][[36]]\n", + "[1] 1.154244\n", + "\n", + "$MSE_list[[78]][[37]]\n", + "[1] 6.658344\n", + "\n", + "$MSE_list[[78]][[38]]\n", + "[1] 8.29227\n", + "\n", + "$MSE_list[[78]][[39]]\n", + "[1] 1.82522\n", + "\n", + "$MSE_list[[78]][[40]]\n", + "[1] 2.451802\n", + "\n", + "$MSE_list[[78]][[41]]\n", + "[1] 2.277742\n", + "\n", + "$MSE_list[[78]][[42]]\n", + "[1] 2.679945\n", + "\n", + "$MSE_list[[78]][[43]]\n", + "[1] 4.713038\n", + "\n", + "$MSE_list[[78]][[44]]\n", + "[1] 6.616965\n", + "\n", + "$MSE_list[[78]][[45]]\n", + "[1] 3.464988\n", + "\n", + "$MSE_list[[78]][[46]]\n", + "[1] 1.409277\n", + "\n", + "$MSE_list[[78]][[47]]\n", + "[1] 9.045849\n", + "\n", + "$MSE_list[[78]][[48]]\n", + "[1] 0.9974486\n", + "\n", + "$MSE_list[[78]][[49]]\n", + "[1] 1.369203\n", + "\n", + "$MSE_list[[78]][[50]]\n", + "[1] 5.134101\n", + "\n", + "$MSE_list[[78]][[51]]\n", + "[1] 4.518427\n", + "\n", + "$MSE_list[[78]][[52]]\n", + "[1] 1.684673\n", + "\n", + "$MSE_list[[78]][[53]]\n", + "[1] 6.272339\n", + "\n", + "$MSE_list[[78]][[54]]\n", + "[1] 1.279744\n", + "\n", + "$MSE_list[[78]][[55]]\n", + "[1] 1.671646\n", + "\n", + "$MSE_list[[78]][[56]]\n", + "[1] 5.782154\n", + "\n", + "$MSE_list[[78]][[57]]\n", + "[1] 3.035389\n", + "\n", + "$MSE_list[[78]][[58]]\n", + "[1] 8.556464\n", + "\n", + "$MSE_list[[78]][[59]]\n", + "[1] 4.918457\n", + "\n", + "$MSE_list[[78]][[60]]\n", + "[1] 5.051633\n", + "\n", + "$MSE_list[[78]][[61]]\n", + "[1] 5.991207\n", + "\n", + "$MSE_list[[78]][[62]]\n", + "[1] 2.410576\n", + "\n", + "$MSE_list[[78]][[63]]\n", + "[1] 1.119337\n", + "\n", + "$MSE_list[[78]][[64]]\n", + "[1] 10.71155\n", + "\n", + "$MSE_list[[78]][[65]]\n", + "[1] 2.300857\n", + "\n", + "$MSE_list[[78]][[66]]\n", + "[1] 1.462056\n", + "\n", + "$MSE_list[[78]][[67]]\n", + "[1] 2.691367\n", + "\n", + "$MSE_list[[78]][[68]]\n", + "[1] 3.859127\n", + "\n", + "$MSE_list[[78]][[69]]\n", + "[1] 1.793015\n", + "\n", + "$MSE_list[[78]][[70]]\n", + "[1] 0.9064647\n", + "\n", + "$MSE_list[[78]][[71]]\n", + "[1] 2.034755\n", + "\n", + "$MSE_list[[78]][[72]]\n", + "[1] 3.652789\n", + "\n", + "$MSE_list[[78]][[73]]\n", + "[1] 6.904574\n", + "\n", + "$MSE_list[[78]][[74]]\n", + "[1] 2.703376\n", + "\n", + "$MSE_list[[78]][[75]]\n", + "[1] 3.475893\n", + "\n", + "$MSE_list[[78]][[76]]\n", + "[1] 4.683432\n", + "\n", + "$MSE_list[[78]][[77]]\n", + "[1] 1.630153\n", + "\n", + "$MSE_list[[78]][[78]]\n", + "[1] 2.251943\n", + "\n", + "$MSE_list[[78]][[79]]\n", + "[1] 3.604859\n", + "\n", + "$MSE_list[[78]][[80]]\n", + "[1] 8.231496\n", + "\n", + "$MSE_list[[78]][[81]]\n", + "[1] 1.720008\n", + "\n", + "$MSE_list[[78]][[82]]\n", + "[1] 4.301868\n", + "\n", + "$MSE_list[[78]][[83]]\n", + "[1] 5.828881\n", + "\n", + "$MSE_list[[78]][[84]]\n", + "[1] 6.315943\n", + "\n", + "$MSE_list[[78]][[85]]\n", + "[1] 6.121433\n", + "\n", + "$MSE_list[[78]][[86]]\n", + "[1] 7.856541\n", + "\n", + "$MSE_list[[78]][[87]]\n", + "[1] 3.221555\n", + "\n", + "$MSE_list[[78]][[88]]\n", + "[1] 5.768682\n", + "\n", + "$MSE_list[[78]][[89]]\n", + "[1] 1.789956\n", + "\n", + "$MSE_list[[78]][[90]]\n", + "[1] 9.077281\n", + "\n", + "$MSE_list[[78]][[91]]\n", + "[1] 2.978019\n", + "\n", + "$MSE_list[[78]][[92]]\n", + "[1] 4.194781\n", + "\n", + "$MSE_list[[78]][[93]]\n", + "[1] 7.363972\n", + "\n", + "$MSE_list[[78]][[94]]\n", + "[1] 4.094309\n", + "\n", + "$MSE_list[[78]][[95]]\n", + "[1] 3.931825\n", + "\n", + "$MSE_list[[78]][[96]]\n", + "[1] 1.759688\n", + "\n", + "$MSE_list[[78]][[97]]\n", + "[1] 2.973109\n", + "\n", + "$MSE_list[[78]][[98]]\n", + "[1] 7.057516\n", + "\n", + "$MSE_list[[78]][[99]]\n", + "[1] 3.168996\n", + "\n", + "$MSE_list[[78]][[100]]\n", + "[1] 11.68042\n", + "\n", + "\n", + "$MSE_list[[79]]\n", + "$MSE_list[[79]][[1]]\n", + "[1] 5.670076\n", + "\n", + "$MSE_list[[79]][[2]]\n", + "[1] 2.832835\n", + "\n", + "$MSE_list[[79]][[3]]\n", + "[1] 3.825887\n", + "\n", + "$MSE_list[[79]][[4]]\n", + "[1] 6.235232\n", + "\n", + "$MSE_list[[79]][[5]]\n", + "[1] 3.012351\n", + "\n", + "$MSE_list[[79]][[6]]\n", + "[1] 2.713896\n", + "\n", + "$MSE_list[[79]][[7]]\n", + "[1] 5.631292\n", + "\n", + "$MSE_list[[79]][[8]]\n", + "[1] 1.011828\n", + "\n", + "$MSE_list[[79]][[9]]\n", + "[1] 6.941733\n", + "\n", + "$MSE_list[[79]][[10]]\n", + "[1] 4.090753\n", + "\n", + "$MSE_list[[79]][[11]]\n", + "[1] 6.638394\n", + "\n", + "$MSE_list[[79]][[12]]\n", + "[1] 3.38059\n", + "\n", + "$MSE_list[[79]][[13]]\n", + "[1] 1.997271\n", + "\n", + "$MSE_list[[79]][[14]]\n", + "[1] 3.489847\n", + "\n", + "$MSE_list[[79]][[15]]\n", + "[1] 7.372805\n", + "\n", + "$MSE_list[[79]][[16]]\n", + "[1] 5.126494\n", + "\n", + "$MSE_list[[79]][[17]]\n", + "[1] 3.711196\n", + "\n", + "$MSE_list[[79]][[18]]\n", + "[1] 5.203903\n", + "\n", + "$MSE_list[[79]][[19]]\n", + "[1] 8.601219\n", + "\n", + "$MSE_list[[79]][[20]]\n", + "[1] 6.694829\n", + "\n", + "$MSE_list[[79]][[21]]\n", + "[1] 9.464472\n", + "\n", + "$MSE_list[[79]][[22]]\n", + "[1] 8.353573\n", + "\n", + "$MSE_list[[79]][[23]]\n", + "[1] 3.718875\n", + "\n", + "$MSE_list[[79]][[24]]\n", + "[1] 1.569523\n", + "\n", + "$MSE_list[[79]][[25]]\n", + "[1] 6.88273\n", + "\n", + "$MSE_list[[79]][[26]]\n", + "[1] 2.156692\n", + "\n", + "$MSE_list[[79]][[27]]\n", + "[1] 5.875518\n", + "\n", + "$MSE_list[[79]][[28]]\n", + "[1] 7.989677\n", + "\n", + "$MSE_list[[79]][[29]]\n", + "[1] 6.02749\n", + "\n", + "$MSE_list[[79]][[30]]\n", + "[1] 6.355637\n", + "\n", + "$MSE_list[[79]][[31]]\n", + "[1] 5.276984\n", + "\n", + "$MSE_list[[79]][[32]]\n", + "[1] 5.960595\n", + "\n", + "$MSE_list[[79]][[33]]\n", + "[1] 7.441496\n", + "\n", + "$MSE_list[[79]][[34]]\n", + "[1] 5.189277\n", + "\n", + "$MSE_list[[79]][[35]]\n", + "[1] 3.244663\n", + "\n", + "$MSE_list[[79]][[36]]\n", + "[1] 6.106122\n", + "\n", + "$MSE_list[[79]][[37]]\n", + "[1] 7.567619\n", + "\n", + "$MSE_list[[79]][[38]]\n", + "[1] 3.273068\n", + "\n", + "$MSE_list[[79]][[39]]\n", + "[1] 2.807835\n", + "\n", + "$MSE_list[[79]][[40]]\n", + "[1] 5.656847\n", + "\n", + "$MSE_list[[79]][[41]]\n", + "[1] 8.097389\n", + "\n", + "$MSE_list[[79]][[42]]\n", + "[1] 5.057654\n", + "\n", + "$MSE_list[[79]][[43]]\n", + "[1] 1.626722\n", + "\n", + "$MSE_list[[79]][[44]]\n", + "[1] 7.461524\n", + "\n", + "$MSE_list[[79]][[45]]\n", + "[1] 5.669586\n", + "\n", + "$MSE_list[[79]][[46]]\n", + "[1] 3.399011\n", + "\n", + "$MSE_list[[79]][[47]]\n", + "[1] 7.480379\n", + "\n", + "$MSE_list[[79]][[48]]\n", + "[1] 5.246881\n", + "\n", + "$MSE_list[[79]][[49]]\n", + "[1] 6.725047\n", + "\n", + "$MSE_list[[79]][[50]]\n", + "[1] 4.803053\n", + "\n", + "$MSE_list[[79]][[51]]\n", + "[1] 7.696253\n", + "\n", + "$MSE_list[[79]][[52]]\n", + "[1] 4.77671\n", + "\n", + "$MSE_list[[79]][[53]]\n", + "[1] 7.737351\n", + "\n", + "$MSE_list[[79]][[54]]\n", + "[1] 5.971572\n", + "\n", + "$MSE_list[[79]][[55]]\n", + "[1] 1.934622\n", + "\n", + "$MSE_list[[79]][[56]]\n", + "[1] 5.234398\n", + "\n", + "$MSE_list[[79]][[57]]\n", + "[1] 5.584859\n", + "\n", + "$MSE_list[[79]][[58]]\n", + "[1] 4.902629\n", + "\n", + "$MSE_list[[79]][[59]]\n", + "[1] 4.870254\n", + "\n", + "$MSE_list[[79]][[60]]\n", + "[1] 3.267685\n", + "\n", + "$MSE_list[[79]][[61]]\n", + "[1] 7.268735\n", + "\n", + "$MSE_list[[79]][[62]]\n", + "[1] 4.271508\n", + "\n", + "$MSE_list[[79]][[63]]\n", + "[1] 1.463545\n", + "\n", + "$MSE_list[[79]][[64]]\n", + "[1] 6.550672\n", + "\n", + "$MSE_list[[79]][[65]]\n", + "[1] 3.972679\n", + "\n", + "$MSE_list[[79]][[66]]\n", + "[1] 5.809371\n", + "\n", + "$MSE_list[[79]][[67]]\n", + "[1] 3.044148\n", + "\n", + "$MSE_list[[79]][[68]]\n", + "[1] 4.348365\n", + "\n", + "$MSE_list[[79]][[69]]\n", + "[1] 8.686553\n", + "\n", + "$MSE_list[[79]][[70]]\n", + "[1] 6.297645\n", + "\n", + "$MSE_list[[79]][[71]]\n", + "[1] 5.706351\n", + "\n", + "$MSE_list[[79]][[72]]\n", + "[1] 6.70606\n", + "\n", + "$MSE_list[[79]][[73]]\n", + "[1] 4.079395\n", + "\n", + "$MSE_list[[79]][[74]]\n", + "[1] 6.927169\n", + "\n", + "$MSE_list[[79]][[75]]\n", + "[1] 2.092154\n", + "\n", + "$MSE_list[[79]][[76]]\n", + "[1] 2.587044\n", + "\n", + "$MSE_list[[79]][[77]]\n", + "[1] 2.9408\n", + "\n", + "$MSE_list[[79]][[78]]\n", + "[1] 7.070112\n", + "\n", + "$MSE_list[[79]][[79]]\n", + "[1] 4.091512\n", + "\n", + "$MSE_list[[79]][[80]]\n", + "[1] 1.125486\n", + "\n", + "$MSE_list[[79]][[81]]\n", + "[1] 8.998753\n", + "\n", + "$MSE_list[[79]][[82]]\n", + "[1] 1.839682\n", + "\n", + "$MSE_list[[79]][[83]]\n", + "[1] 7.268689\n", + "\n", + "$MSE_list[[79]][[84]]\n", + "[1] 2.829926\n", + "\n", + "$MSE_list[[79]][[85]]\n", + "[1] 3.952061\n", + "\n", + "$MSE_list[[79]][[86]]\n", + "[1] 2.787245\n", + "\n", + "$MSE_list[[79]][[87]]\n", + "[1] 6.508894\n", + "\n", + "$MSE_list[[79]][[88]]\n", + "[1] 7.115163\n", + "\n", + "$MSE_list[[79]][[89]]\n", + "[1] 6.521399\n", + "\n", + "$MSE_list[[79]][[90]]\n", + "[1] 1.558019\n", + "\n", + "$MSE_list[[79]][[91]]\n", + "[1] 8.92931\n", + "\n", + "$MSE_list[[79]][[92]]\n", + "[1] 4.972853\n", + "\n", + "$MSE_list[[79]][[93]]\n", + "[1] 2.068013\n", + "\n", + "$MSE_list[[79]][[94]]\n", + "[1] 2.20175\n", + "\n", + "$MSE_list[[79]][[95]]\n", + "[1] 3.191969\n", + "\n", + "$MSE_list[[79]][[96]]\n", + "[1] 3.382228\n", + "\n", + "$MSE_list[[79]][[97]]\n", + "[1] 1.808158\n", + "\n", + "$MSE_list[[79]][[98]]\n", + "[1] 5.203392\n", + "\n", + "$MSE_list[[79]][[99]]\n", + "[1] 4.288881\n", + "\n", + "$MSE_list[[79]][[100]]\n", + "[1] 7.86175\n", + "\n", + "\n", + "$MSE_list[[80]]\n", + "$MSE_list[[80]][[1]]\n", + "[1] 6.186277\n", + "\n", + "$MSE_list[[80]][[2]]\n", + "[1] 2.774715\n", + "\n", + "$MSE_list[[80]][[3]]\n", + "[1] 2.142165\n", + "\n", + "$MSE_list[[80]][[4]]\n", + "[1] 7.002197\n", + "\n", + "$MSE_list[[80]][[5]]\n", + "[1] 2.291648\n", + "\n", + "$MSE_list[[80]][[6]]\n", + "[1] 9.121195\n", + "\n", + "$MSE_list[[80]][[7]]\n", + "[1] 4.707616\n", + "\n", + "$MSE_list[[80]][[8]]\n", + "[1] 12.55859\n", + "\n", + "$MSE_list[[80]][[9]]\n", + "[1] 9.654471\n", + "\n", + "$MSE_list[[80]][[10]]\n", + "[1] 0.7128493\n", + "\n", + "$MSE_list[[80]][[11]]\n", + "[1] 4.197784\n", + "\n", + "$MSE_list[[80]][[12]]\n", + "[1] 4.374358\n", + "\n", + "$MSE_list[[80]][[13]]\n", + "[1] 6.54716\n", + "\n", + "$MSE_list[[80]][[14]]\n", + "[1] 1.906806\n", + "\n", + "$MSE_list[[80]][[15]]\n", + "[1] 6.386223\n", + "\n", + "$MSE_list[[80]][[16]]\n", + "[1] 5.368436\n", + "\n", + "$MSE_list[[80]][[17]]\n", + "[1] 4.249615\n", + "\n", + "$MSE_list[[80]][[18]]\n", + "[1] 4.17209\n", + "\n", + "$MSE_list[[80]][[19]]\n", + "[1] 3.481013\n", + "\n", + "$MSE_list[[80]][[20]]\n", + "[1] 7.053368\n", + "\n", + "$MSE_list[[80]][[21]]\n", + "[1] 0.7061036\n", + "\n", + "$MSE_list[[80]][[22]]\n", + "[1] 9.328937\n", + "\n", + "$MSE_list[[80]][[23]]\n", + "[1] 1.941299\n", + "\n", + "$MSE_list[[80]][[24]]\n", + "[1] 6.283929\n", + "\n", + "$MSE_list[[80]][[25]]\n", + "[1] 6.118168\n", + "\n", + "$MSE_list[[80]][[26]]\n", + "[1] 10.51658\n", + "\n", + "$MSE_list[[80]][[27]]\n", + "[1] 3.982727\n", + "\n", + "$MSE_list[[80]][[28]]\n", + "[1] 5.922959\n", + "\n", + "$MSE_list[[80]][[29]]\n", + "[1] 2.103422\n", + "\n", + "$MSE_list[[80]][[30]]\n", + "[1] 4.810561\n", + "\n", + "$MSE_list[[80]][[31]]\n", + "[1] 9.625902\n", + "\n", + "$MSE_list[[80]][[32]]\n", + "[1] 4.568529\n", + "\n", + "$MSE_list[[80]][[33]]\n", + "[1] 6.50608\n", + "\n", + "$MSE_list[[80]][[34]]\n", + "[1] 3.694609\n", + "\n", + "$MSE_list[[80]][[35]]\n", + "[1] 2.726225\n", + "\n", + "$MSE_list[[80]][[36]]\n", + "[1] 2.58405\n", + "\n", + "$MSE_list[[80]][[37]]\n", + "[1] 3.172237\n", + "\n", + "$MSE_list[[80]][[38]]\n", + "[1] 1.139996\n", + "\n", + "$MSE_list[[80]][[39]]\n", + "[1] 10.52715\n", + "\n", + "$MSE_list[[80]][[40]]\n", + "[1] 9.277224\n", + "\n", + "$MSE_list[[80]][[41]]\n", + "[1] 5.435699\n", + "\n", + "$MSE_list[[80]][[42]]\n", + "[1] 4.095515\n", + "\n", + "$MSE_list[[80]][[43]]\n", + "[1] 7.852532\n", + "\n", + "$MSE_list[[80]][[44]]\n", + "[1] 6.776493\n", + "\n", + "$MSE_list[[80]][[45]]\n", + "[1] 5.851681\n", + "\n", + "$MSE_list[[80]][[46]]\n", + "[1] 6.827927\n", + "\n", + "$MSE_list[[80]][[47]]\n", + "[1] 3.878297\n", + "\n", + "$MSE_list[[80]][[48]]\n", + "[1] 3.551305\n", + "\n", + "$MSE_list[[80]][[49]]\n", + "[1] 4.76623\n", + "\n", + "$MSE_list[[80]][[50]]\n", + "[1] 3.080346\n", + "\n", + "$MSE_list[[80]][[51]]\n", + "[1] 2.27819\n", + "\n", + "$MSE_list[[80]][[52]]\n", + "[1] 7.510031\n", + "\n", + "$MSE_list[[80]][[53]]\n", + "[1] 2.555854\n", + "\n", + "$MSE_list[[80]][[54]]\n", + "[1] 7.58707\n", + "\n", + "$MSE_list[[80]][[55]]\n", + "[1] 4.380526\n", + "\n", + "$MSE_list[[80]][[56]]\n", + "[1] 2.264964\n", + "\n", + "$MSE_list[[80]][[57]]\n", + "[1] 9.835797\n", + "\n", + "$MSE_list[[80]][[58]]\n", + "[1] 5.505674\n", + "\n", + "$MSE_list[[80]][[59]]\n", + "[1] 10.10015\n", + "\n", + "$MSE_list[[80]][[60]]\n", + "[1] 4.971726\n", + "\n", + "$MSE_list[[80]][[61]]\n", + "[1] 8.09991\n", + "\n", + "$MSE_list[[80]][[62]]\n", + "[1] 8.421154\n", + "\n", + "$MSE_list[[80]][[63]]\n", + "[1] 4.359265\n", + "\n", + "$MSE_list[[80]][[64]]\n", + "[1] 4.796927\n", + "\n", + "$MSE_list[[80]][[65]]\n", + "[1] 3.69297\n", + "\n", + "$MSE_list[[80]][[66]]\n", + "[1] 6.651528\n", + "\n", + "$MSE_list[[80]][[67]]\n", + "[1] 1.801218\n", + "\n", + "$MSE_list[[80]][[68]]\n", + "[1] 5.750841\n", + "\n", + "$MSE_list[[80]][[69]]\n", + "[1] 2.21659\n", + "\n", + "$MSE_list[[80]][[70]]\n", + "[1] 4.903118\n", + "\n", + "$MSE_list[[80]][[71]]\n", + "[1] 2.755427\n", + "\n", + "$MSE_list[[80]][[72]]\n", + "[1] 3.095642\n", + "\n", + "$MSE_list[[80]][[73]]\n", + "[1] 1.542936\n", + "\n", + "$MSE_list[[80]][[74]]\n", + "[1] 3.105536\n", + "\n", + "$MSE_list[[80]][[75]]\n", + "[1] 3.117313\n", + "\n", + "$MSE_list[[80]][[76]]\n", + "[1] 6.124702\n", + "\n", + "$MSE_list[[80]][[77]]\n", + "[1] 7.873381\n", + "\n", + "$MSE_list[[80]][[78]]\n", + "[1] 6.062459\n", + "\n", + "$MSE_list[[80]][[79]]\n", + "[1] 7.273628\n", + "\n", + "$MSE_list[[80]][[80]]\n", + "[1] 3.996119\n", + "\n", + "$MSE_list[[80]][[81]]\n", + "[1] 3.679079\n", + "\n", + "$MSE_list[[80]][[82]]\n", + "[1] 1.319444\n", + "\n", + "$MSE_list[[80]][[83]]\n", + "[1] 3.922196\n", + "\n", + "$MSE_list[[80]][[84]]\n", + "[1] 5.319807\n", + "\n", + "$MSE_list[[80]][[85]]\n", + "[1] 7.906636\n", + "\n", + "$MSE_list[[80]][[86]]\n", + "[1] 0.8138295\n", + "\n", + "$MSE_list[[80]][[87]]\n", + "[1] 12.20279\n", + "\n", + "$MSE_list[[80]][[88]]\n", + "[1] 3.917765\n", + "\n", + "$MSE_list[[80]][[89]]\n", + "[1] 7.420892\n", + "\n", + "$MSE_list[[80]][[90]]\n", + "[1] 8.992482\n", + "\n", + "$MSE_list[[80]][[91]]\n", + "[1] 2.852532\n", + "\n", + "$MSE_list[[80]][[92]]\n", + "[1] 3.440455\n", + "\n", + "$MSE_list[[80]][[93]]\n", + "[1] 4.619337\n", + "\n", + "$MSE_list[[80]][[94]]\n", + "[1] 6.856192\n", + "\n", + "$MSE_list[[80]][[95]]\n", + "[1] 6.841303\n", + "\n", + "$MSE_list[[80]][[96]]\n", + "[1] 5.348731\n", + "\n", + "$MSE_list[[80]][[97]]\n", + "[1] 9.158809\n", + "\n", + "$MSE_list[[80]][[98]]\n", + "[1] 3.800706\n", + "\n", + "$MSE_list[[80]][[99]]\n", + "[1] 5.556893\n", + "\n", + "$MSE_list[[80]][[100]]\n", + "[1] 4.700167\n", + "\n", + "\n", + "$MSE_list[[81]]\n", + "$MSE_list[[81]][[1]]\n", + "[1] 6.857161\n", + "\n", + "$MSE_list[[81]][[2]]\n", + "[1] 4.334763\n", + "\n", + "$MSE_list[[81]][[3]]\n", + "[1] 2.930347\n", + "\n", + "$MSE_list[[81]][[4]]\n", + "[1] 8.619456\n", + "\n", + "$MSE_list[[81]][[5]]\n", + "[1] 10.04763\n", + "\n", + "$MSE_list[[81]][[6]]\n", + "[1] 4.044398\n", + "\n", + "$MSE_list[[81]][[7]]\n", + "[1] 3.625123\n", + "\n", + "$MSE_list[[81]][[8]]\n", + "[1] 2.897021\n", + "\n", + "$MSE_list[[81]][[9]]\n", + "[1] 2.053674\n", + "\n", + "$MSE_list[[81]][[10]]\n", + "[1] 6.095401\n", + "\n", + "$MSE_list[[81]][[11]]\n", + "[1] 5.620496\n", + "\n", + "$MSE_list[[81]][[12]]\n", + "[1] 4.137602\n", + "\n", + "$MSE_list[[81]][[13]]\n", + "[1] 6.616405\n", + "\n", + "$MSE_list[[81]][[14]]\n", + "[1] 4.444094\n", + "\n", + "$MSE_list[[81]][[15]]\n", + "[1] 3.639452\n", + "\n", + "$MSE_list[[81]][[16]]\n", + "[1] 6.007215\n", + "\n", + "$MSE_list[[81]][[17]]\n", + "[1] 11.80677\n", + "\n", + "$MSE_list[[81]][[18]]\n", + "[1] 4.181771\n", + "\n", + "$MSE_list[[81]][[19]]\n", + "[1] 10.61779\n", + "\n", + "$MSE_list[[81]][[20]]\n", + "[1] 5.916013\n", + "\n", + "$MSE_list[[81]][[21]]\n", + "[1] 5.021702\n", + "\n", + "$MSE_list[[81]][[22]]\n", + "[1] 10.68597\n", + "\n", + "$MSE_list[[81]][[23]]\n", + "[1] 5.037309\n", + "\n", + "$MSE_list[[81]][[24]]\n", + "[1] 7.735479\n", + "\n", + "$MSE_list[[81]][[25]]\n", + "[1] 5.514652\n", + "\n", + "$MSE_list[[81]][[26]]\n", + "[1] 3.120589\n", + "\n", + "$MSE_list[[81]][[27]]\n", + "[1] 3.53002\n", + "\n", + "$MSE_list[[81]][[28]]\n", + "[1] 4.667133\n", + "\n", + "$MSE_list[[81]][[29]]\n", + "[1] 4.997212\n", + "\n", + "$MSE_list[[81]][[30]]\n", + "[1] 4.948926\n", + "\n", + "$MSE_list[[81]][[31]]\n", + "[1] 4.316627\n", + "\n", + "$MSE_list[[81]][[32]]\n", + "[1] 6.892678\n", + "\n", + "$MSE_list[[81]][[33]]\n", + "[1] 7.981109\n", + "\n", + "$MSE_list[[81]][[34]]\n", + "[1] 9.988393\n", + "\n", + "$MSE_list[[81]][[35]]\n", + "[1] 1.995419\n", + "\n", + "$MSE_list[[81]][[36]]\n", + "[1] 6.627217\n", + "\n", + "$MSE_list[[81]][[37]]\n", + "[1] 6.387474\n", + "\n", + "$MSE_list[[81]][[38]]\n", + "[1] 7.58679\n", + "\n", + "$MSE_list[[81]][[39]]\n", + "[1] 6.395377\n", + "\n", + "$MSE_list[[81]][[40]]\n", + "[1] 4.870943\n", + "\n", + "$MSE_list[[81]][[41]]\n", + "[1] 5.439533\n", + "\n", + "$MSE_list[[81]][[42]]\n", + "[1] 3.547243\n", + "\n", + "$MSE_list[[81]][[43]]\n", + "[1] 9.138535\n", + "\n", + "$MSE_list[[81]][[44]]\n", + "[1] 3.127476\n", + "\n", + "$MSE_list[[81]][[45]]\n", + "[1] 2.981429\n", + "\n", + "$MSE_list[[81]][[46]]\n", + "[1] 5.468428\n", + "\n", + "$MSE_list[[81]][[47]]\n", + "[1] 5.017009\n", + "\n", + "$MSE_list[[81]][[48]]\n", + "[1] 4.14135\n", + "\n", + "$MSE_list[[81]][[49]]\n", + "[1] 3.895334\n", + "\n", + "$MSE_list[[81]][[50]]\n", + "[1] 9.68874\n", + "\n", + "$MSE_list[[81]][[51]]\n", + "[1] 2.610055\n", + "\n", + "$MSE_list[[81]][[52]]\n", + "[1] 6.916889\n", + "\n", + "$MSE_list[[81]][[53]]\n", + "[1] 10.8066\n", + "\n", + "$MSE_list[[81]][[54]]\n", + "[1] 4.874891\n", + "\n", + "$MSE_list[[81]][[55]]\n", + "[1] 2.05766\n", + "\n", + "$MSE_list[[81]][[56]]\n", + "[1] 8.072136\n", + "\n", + "$MSE_list[[81]][[57]]\n", + "[1] 7.218661\n", + "\n", + "$MSE_list[[81]][[58]]\n", + "[1] 7.055298\n", + "\n", + "$MSE_list[[81]][[59]]\n", + "[1] 1.097329\n", + "\n", + "$MSE_list[[81]][[60]]\n", + "[1] 3.318688\n", + "\n", + "$MSE_list[[81]][[61]]\n", + "[1] 5.84641\n", + "\n", + "$MSE_list[[81]][[62]]\n", + "[1] 8.312833\n", + "\n", + "$MSE_list[[81]][[63]]\n", + "[1] 5.789715\n", + "\n", + "$MSE_list[[81]][[64]]\n", + "[1] 3.091346\n", + "\n", + "$MSE_list[[81]][[65]]\n", + "[1] 10.94656\n", + "\n", + "$MSE_list[[81]][[66]]\n", + "[1] 7.134567\n", + "\n", + "$MSE_list[[81]][[67]]\n", + "[1] 2.466748\n", + "\n", + "$MSE_list[[81]][[68]]\n", + "[1] 5.982711\n", + "\n", + "$MSE_list[[81]][[69]]\n", + "[1] 8.625282\n", + "\n", + "$MSE_list[[81]][[70]]\n", + "[1] 8.307892\n", + "\n", + "$MSE_list[[81]][[71]]\n", + "[1] 8.057057\n", + "\n", + "$MSE_list[[81]][[72]]\n", + "[1] 9.498494\n", + "\n", + "$MSE_list[[81]][[73]]\n", + "[1] 8.427475\n", + "\n", + "$MSE_list[[81]][[74]]\n", + "[1] 6.579512\n", + "\n", + "$MSE_list[[81]][[75]]\n", + "[1] 3.97951\n", + "\n", + "$MSE_list[[81]][[76]]\n", + "[1] 7.081036\n", + "\n", + "$MSE_list[[81]][[77]]\n", + "[1] 2.315849\n", + "\n", + "$MSE_list[[81]][[78]]\n", + "[1] 7.839986\n", + "\n", + "$MSE_list[[81]][[79]]\n", + "[1] 8.032152\n", + "\n", + "$MSE_list[[81]][[80]]\n", + "[1] 10.54061\n", + "\n", + "$MSE_list[[81]][[81]]\n", + "[1] 9.012081\n", + "\n", + "$MSE_list[[81]][[82]]\n", + "[1] 7.076248\n", + "\n", + "$MSE_list[[81]][[83]]\n", + "[1] 8.417461\n", + "\n", + "$MSE_list[[81]][[84]]\n", + "[1] 7.965199\n", + "\n", + "$MSE_list[[81]][[85]]\n", + "[1] 4.406591\n", + "\n", + "$MSE_list[[81]][[86]]\n", + "[1] 7.524153\n", + "\n", + "$MSE_list[[81]][[87]]\n", + "[1] 1.973404\n", + "\n", + "$MSE_list[[81]][[88]]\n", + "[1] 9.320206\n", + "\n", + "$MSE_list[[81]][[89]]\n", + "[1] 7.580138\n", + "\n", + "$MSE_list[[81]][[90]]\n", + "[1] 3.139323\n", + "\n", + "$MSE_list[[81]][[91]]\n", + "[1] 3.473538\n", + "\n", + "$MSE_list[[81]][[92]]\n", + "[1] 2.91483\n", + "\n", + "$MSE_list[[81]][[93]]\n", + "[1] 1.950859\n", + "\n", + "$MSE_list[[81]][[94]]\n", + "[1] 3.289856\n", + "\n", + "$MSE_list[[81]][[95]]\n", + "[1] 6.504774\n", + "\n", + "$MSE_list[[81]][[96]]\n", + "[1] 8.347856\n", + "\n", + "$MSE_list[[81]][[97]]\n", + "[1] 8.905539\n", + "\n", + "$MSE_list[[81]][[98]]\n", + "[1] 6.622213\n", + "\n", + "$MSE_list[[81]][[99]]\n", + "[1] 7.267053\n", + "\n", + "$MSE_list[[81]][[100]]\n", + "[1] 7.380982\n", + "\n", + "\n", + "$MSE_list[[82]]\n", + "$MSE_list[[82]][[1]]\n", + "[1] 1.188164\n", + "\n", + "$MSE_list[[82]][[2]]\n", + "[1] 6.928914\n", + "\n", + "$MSE_list[[82]][[3]]\n", + "[1] 4.389356\n", + "\n", + "$MSE_list[[82]][[4]]\n", + "[1] 2.740597\n", + "\n", + "$MSE_list[[82]][[5]]\n", + "[1] 1.733675\n", + "\n", + "$MSE_list[[82]][[6]]\n", + "[1] 0.9771401\n", + "\n", + "$MSE_list[[82]][[7]]\n", + "[1] 3.689451\n", + "\n", + "$MSE_list[[82]][[8]]\n", + "[1] 2.525292\n", + "\n", + "$MSE_list[[82]][[9]]\n", + "[1] 1.956608\n", + "\n", + "$MSE_list[[82]][[10]]\n", + "[1] 4.042086\n", + "\n", + "$MSE_list[[82]][[11]]\n", + "[1] 2.225921\n", + "\n", + "$MSE_list[[82]][[12]]\n", + "[1] 4.309303\n", + "\n", + "$MSE_list[[82]][[13]]\n", + "[1] 0.8384239\n", + "\n", + "$MSE_list[[82]][[14]]\n", + "[1] 3.789608\n", + "\n", + "$MSE_list[[82]][[15]]\n", + "[1] 4.513503\n", + "\n", + "$MSE_list[[82]][[16]]\n", + "[1] 4.525923\n", + "\n", + "$MSE_list[[82]][[17]]\n", + "[1] 3.119861\n", + "\n", + "$MSE_list[[82]][[18]]\n", + "[1] 1.395239\n", + "\n", + "$MSE_list[[82]][[19]]\n", + "[1] 4.561718\n", + "\n", + "$MSE_list[[82]][[20]]\n", + "[1] 4.778449\n", + "\n", + "$MSE_list[[82]][[21]]\n", + "[1] 0.7525373\n", + "\n", + "$MSE_list[[82]][[22]]\n", + "[1] 4.848561\n", + "\n", + "$MSE_list[[82]][[23]]\n", + "[1] 5.057378\n", + "\n", + "$MSE_list[[82]][[24]]\n", + "[1] 2.180148\n", + "\n", + "$MSE_list[[82]][[25]]\n", + "[1] 4.119589\n", + "\n", + "$MSE_list[[82]][[26]]\n", + "[1] 1.386371\n", + "\n", + "$MSE_list[[82]][[27]]\n", + "[1] 4.99542\n", + "\n", + "$MSE_list[[82]][[28]]\n", + "[1] 3.329707\n", + "\n", + "$MSE_list[[82]][[29]]\n", + "[1] 5.298088\n", + "\n", + "$MSE_list[[82]][[30]]\n", + "[1] 4.438679\n", + "\n", + "$MSE_list[[82]][[31]]\n", + "[1] 2.0525\n", + "\n", + "$MSE_list[[82]][[32]]\n", + "[1] 1.087929\n", + "\n", + "$MSE_list[[82]][[33]]\n", + "[1] 1.673779\n", + "\n", + "$MSE_list[[82]][[34]]\n", + "[1] 1.945795\n", + "\n", + "$MSE_list[[82]][[35]]\n", + "[1] 3.127985\n", + "\n", + "$MSE_list[[82]][[36]]\n", + "[1] 0.8581146\n", + "\n", + "$MSE_list[[82]][[37]]\n", + "[1] 5.033113\n", + "\n", + "$MSE_list[[82]][[38]]\n", + "[1] 1.496838\n", + "\n", + "$MSE_list[[82]][[39]]\n", + "[1] 3.333063\n", + "\n", + "$MSE_list[[82]][[40]]\n", + "[1] 4.422216\n", + "\n", + "$MSE_list[[82]][[41]]\n", + "[1] 6.000033\n", + "\n", + "$MSE_list[[82]][[42]]\n", + "[1] 5.745137\n", + "\n", + "$MSE_list[[82]][[43]]\n", + "[1] 6.944332\n", + "\n", + "$MSE_list[[82]][[44]]\n", + "[1] 1.871862\n", + "\n", + "$MSE_list[[82]][[45]]\n", + "[1] 4.966068\n", + "\n", + "$MSE_list[[82]][[46]]\n", + "[1] 4.411812\n", + "\n", + "$MSE_list[[82]][[47]]\n", + "[1] 5.669373\n", + "\n", + "$MSE_list[[82]][[48]]\n", + "[1] 0.6287909\n", + "\n", + "$MSE_list[[82]][[49]]\n", + "[1] 4.845857\n", + "\n", + "$MSE_list[[82]][[50]]\n", + "[1] 7.517157\n", + "\n", + "$MSE_list[[82]][[51]]\n", + "[1] 4.269203\n", + "\n", + "$MSE_list[[82]][[52]]\n", + "[1] 4.19795\n", + "\n", + "$MSE_list[[82]][[53]]\n", + "[1] 2.234888\n", + "\n", + "$MSE_list[[82]][[54]]\n", + "[1] 3.911719\n", + "\n", + "$MSE_list[[82]][[55]]\n", + "[1] 3.540015\n", + "\n", + "$MSE_list[[82]][[56]]\n", + "[1] 5.236634\n", + "\n", + "$MSE_list[[82]][[57]]\n", + "[1] 2.184238\n", + "\n", + "$MSE_list[[82]][[58]]\n", + "[1] 2.408827\n", + "\n", + "$MSE_list[[82]][[59]]\n", + "[1] 3.830247\n", + "\n", + "$MSE_list[[82]][[60]]\n", + "[1] 2.648457\n", + "\n", + "$MSE_list[[82]][[61]]\n", + "[1] 4.856693\n", + "\n", + "$MSE_list[[82]][[62]]\n", + "[1] 4.636317\n", + "\n", + "$MSE_list[[82]][[63]]\n", + "[1] 3.243804\n", + "\n", + "$MSE_list[[82]][[64]]\n", + "[1] 2.221589\n", + "\n", + "$MSE_list[[82]][[65]]\n", + "[1] 1.373103\n", + "\n", + "$MSE_list[[82]][[66]]\n", + "[1] 6.85202\n", + "\n", + "$MSE_list[[82]][[67]]\n", + "[1] 4.673992\n", + "\n", + "$MSE_list[[82]][[68]]\n", + "[1] 6.680993\n", + "\n", + "$MSE_list[[82]][[69]]\n", + "[1] 1.107738\n", + "\n", + "$MSE_list[[82]][[70]]\n", + "[1] 3.297773\n", + "\n", + "$MSE_list[[82]][[71]]\n", + "[1] 1.791202\n", + "\n", + "$MSE_list[[82]][[72]]\n", + "[1] 7.821919\n", + "\n", + "$MSE_list[[82]][[73]]\n", + "[1] 3.867923\n", + "\n", + "$MSE_list[[82]][[74]]\n", + "[1] 1.349387\n", + "\n", + "$MSE_list[[82]][[75]]\n", + "[1] 3.887809\n", + "\n", + "$MSE_list[[82]][[76]]\n", + "[1] 5.219285\n", + "\n", + "$MSE_list[[82]][[77]]\n", + "[1] 4.251435\n", + "\n", + "$MSE_list[[82]][[78]]\n", + "[1] 4.717889\n", + "\n", + "$MSE_list[[82]][[79]]\n", + "[1] 3.334971\n", + "\n", + "$MSE_list[[82]][[80]]\n", + "[1] 4.182377\n", + "\n", + "$MSE_list[[82]][[81]]\n", + "[1] 2.998425\n", + "\n", + "$MSE_list[[82]][[82]]\n", + "[1] 5.677863\n", + "\n", + "$MSE_list[[82]][[83]]\n", + "[1] 5.961613\n", + "\n", + "$MSE_list[[82]][[84]]\n", + "[1] 2.279171\n", + "\n", + "$MSE_list[[82]][[85]]\n", + "[1] 3.746915\n", + "\n", + "$MSE_list[[82]][[86]]\n", + "[1] 1.177559\n", + "\n", + "$MSE_list[[82]][[87]]\n", + "[1] 6.18697\n", + "\n", + "$MSE_list[[82]][[88]]\n", + "[1] 1.379186\n", + "\n", + "$MSE_list[[82]][[89]]\n", + "[1] 6.604699\n", + "\n", + "$MSE_list[[82]][[90]]\n", + "[1] 4.385607\n", + "\n", + "$MSE_list[[82]][[91]]\n", + "[1] 4.608214\n", + "\n", + "$MSE_list[[82]][[92]]\n", + "[1] 1.943246\n", + "\n", + "$MSE_list[[82]][[93]]\n", + "[1] 2.677429\n", + "\n", + "$MSE_list[[82]][[94]]\n", + "[1] 1.32457\n", + "\n", + "$MSE_list[[82]][[95]]\n", + "[1] 2.06602\n", + "\n", + "$MSE_list[[82]][[96]]\n", + "[1] 1.975844\n", + "\n", + "$MSE_list[[82]][[97]]\n", + "[1] 4.094953\n", + "\n", + "$MSE_list[[82]][[98]]\n", + "[1] 4.513555\n", + "\n", + "$MSE_list[[82]][[99]]\n", + "[1] 4.369817\n", + "\n", + "$MSE_list[[82]][[100]]\n", + "[1] 1.592758\n", + "\n", + "\n", + "$MSE_list[[83]]\n", + "$MSE_list[[83]][[1]]\n", + "[1] 3.56352\n", + "\n", + "$MSE_list[[83]][[2]]\n", + "[1] 5.014209\n", + "\n", + "$MSE_list[[83]][[3]]\n", + "[1] 6.153561\n", + "\n", + "$MSE_list[[83]][[4]]\n", + "[1] 5.916426\n", + "\n", + "$MSE_list[[83]][[5]]\n", + "[1] 3.562592\n", + "\n", + "$MSE_list[[83]][[6]]\n", + "[1] 7.000583\n", + "\n", + "$MSE_list[[83]][[7]]\n", + "[1] 4.784242\n", + "\n", + "$MSE_list[[83]][[8]]\n", + "[1] 6.543432\n", + "\n", + "$MSE_list[[83]][[9]]\n", + "[1] 4.374048\n", + "\n", + "$MSE_list[[83]][[10]]\n", + "[1] 6.312921\n", + "\n", + "$MSE_list[[83]][[11]]\n", + "[1] 7.755611\n", + "\n", + "$MSE_list[[83]][[12]]\n", + "[1] 4.255844\n", + "\n", + "$MSE_list[[83]][[13]]\n", + "[1] 5.302785\n", + "\n", + "$MSE_list[[83]][[14]]\n", + "[1] 4.863759\n", + "\n", + "$MSE_list[[83]][[15]]\n", + "[1] 3.21935\n", + "\n", + "$MSE_list[[83]][[16]]\n", + "[1] 4.644604\n", + "\n", + "$MSE_list[[83]][[17]]\n", + "[1] 4.046574\n", + "\n", + "$MSE_list[[83]][[18]]\n", + "[1] 3.561096\n", + "\n", + "$MSE_list[[83]][[19]]\n", + "[1] 4.072099\n", + "\n", + "$MSE_list[[83]][[20]]\n", + "[1] 5.232937\n", + "\n", + "$MSE_list[[83]][[21]]\n", + "[1] 6.28956\n", + "\n", + "$MSE_list[[83]][[22]]\n", + "[1] 5.057383\n", + "\n", + "$MSE_list[[83]][[23]]\n", + "[1] 4.346637\n", + "\n", + "$MSE_list[[83]][[24]]\n", + "[1] 2.270844\n", + "\n", + "$MSE_list[[83]][[25]]\n", + "[1] 6.846787\n", + "\n", + "$MSE_list[[83]][[26]]\n", + "[1] 8.443436\n", + "\n", + "$MSE_list[[83]][[27]]\n", + "[1] 8.522391\n", + "\n", + "$MSE_list[[83]][[28]]\n", + "[1] 4.112489\n", + "\n", + "$MSE_list[[83]][[29]]\n", + "[1] 4.245535\n", + "\n", + "$MSE_list[[83]][[30]]\n", + "[1] 5.364211\n", + "\n", + "$MSE_list[[83]][[31]]\n", + "[1] 4.941131\n", + "\n", + "$MSE_list[[83]][[32]]\n", + "[1] 4.708902\n", + "\n", + "$MSE_list[[83]][[33]]\n", + "[1] 4.4071\n", + "\n", + "$MSE_list[[83]][[34]]\n", + "[1] 1.388868\n", + "\n", + "$MSE_list[[83]][[35]]\n", + "[1] 5.512465\n", + "\n", + "$MSE_list[[83]][[36]]\n", + "[1] 9.743728\n", + "\n", + "$MSE_list[[83]][[37]]\n", + "[1] 4.857175\n", + "\n", + "$MSE_list[[83]][[38]]\n", + "[1] 6.409467\n", + "\n", + "$MSE_list[[83]][[39]]\n", + "[1] 5.190337\n", + "\n", + "$MSE_list[[83]][[40]]\n", + "[1] 3.731201\n", + "\n", + "$MSE_list[[83]][[41]]\n", + "[1] 3.158474\n", + "\n", + "$MSE_list[[83]][[42]]\n", + "[1] 4.741766\n", + "\n", + "$MSE_list[[83]][[43]]\n", + "[1] 6.663419\n", + "\n", + "$MSE_list[[83]][[44]]\n", + "[1] 4.175177\n", + "\n", + "$MSE_list[[83]][[45]]\n", + "[1] 3.7128\n", + "\n", + "$MSE_list[[83]][[46]]\n", + "[1] 7.762584\n", + "\n", + "$MSE_list[[83]][[47]]\n", + "[1] 4.446002\n", + "\n", + "$MSE_list[[83]][[48]]\n", + "[1] 5.543689\n", + "\n", + "$MSE_list[[83]][[49]]\n", + "[1] 3.651838\n", + "\n", + "$MSE_list[[83]][[50]]\n", + "[1] 4.939013\n", + "\n", + "$MSE_list[[83]][[51]]\n", + "[1] 3.714101\n", + "\n", + "$MSE_list[[83]][[52]]\n", + "[1] 4.131572\n", + "\n", + "$MSE_list[[83]][[53]]\n", + "[1] 6.215766\n", + "\n", + "$MSE_list[[83]][[54]]\n", + "[1] 5.750081\n", + "\n", + "$MSE_list[[83]][[55]]\n", + "[1] 3.164968\n", + "\n", + "$MSE_list[[83]][[56]]\n", + "[1] 6.900628\n", + "\n", + "$MSE_list[[83]][[57]]\n", + "[1] 1.347926\n", + "\n", + "$MSE_list[[83]][[58]]\n", + "[1] 7.891455\n", + "\n", + "$MSE_list[[83]][[59]]\n", + "[1] 5.176619\n", + "\n", + "$MSE_list[[83]][[60]]\n", + "[1] 3.466714\n", + "\n", + "$MSE_list[[83]][[61]]\n", + "[1] 3.551552\n", + "\n", + "$MSE_list[[83]][[62]]\n", + "[1] 6.731319\n", + "\n", + "$MSE_list[[83]][[63]]\n", + "[1] 2.881323\n", + "\n", + "$MSE_list[[83]][[64]]\n", + "[1] 4.693078\n", + "\n", + "$MSE_list[[83]][[65]]\n", + "[1] 6.843103\n", + "\n", + "$MSE_list[[83]][[66]]\n", + "[1] 1.683572\n", + "\n", + "$MSE_list[[83]][[67]]\n", + "[1] 2.951386\n", + "\n", + "$MSE_list[[83]][[68]]\n", + "[1] 5.594007\n", + "\n", + "$MSE_list[[83]][[69]]\n", + "[1] 5.400209\n", + "\n", + "$MSE_list[[83]][[70]]\n", + "[1] 3.560385\n", + "\n", + "$MSE_list[[83]][[71]]\n", + "[1] 7.319597\n", + "\n", + "$MSE_list[[83]][[72]]\n", + "[1] 3.800847\n", + "\n", + "$MSE_list[[83]][[73]]\n", + "[1] 6.876525\n", + "\n", + "$MSE_list[[83]][[74]]\n", + "[1] 1.487354\n", + "\n", + "$MSE_list[[83]][[75]]\n", + "[1] 3.441398\n", + "\n", + "$MSE_list[[83]][[76]]\n", + "[1] 4.783575\n", + "\n", + "$MSE_list[[83]][[77]]\n", + "[1] 5.260646\n", + "\n", + "$MSE_list[[83]][[78]]\n", + "[1] 8.119961\n", + "\n", + "$MSE_list[[83]][[79]]\n", + "[1] 1.382409\n", + "\n", + "$MSE_list[[83]][[80]]\n", + "[1] 5.051451\n", + "\n", + "$MSE_list[[83]][[81]]\n", + "[1] 2.813216\n", + "\n", + "$MSE_list[[83]][[82]]\n", + "[1] 6.175308\n", + "\n", + "$MSE_list[[83]][[83]]\n", + "[1] 7.597289\n", + "\n", + "$MSE_list[[83]][[84]]\n", + "[1] 6.891732\n", + "\n", + "$MSE_list[[83]][[85]]\n", + "[1] 3.341739\n", + "\n", + "$MSE_list[[83]][[86]]\n", + "[1] 5.872291\n", + "\n", + "$MSE_list[[83]][[87]]\n", + "[1] 2.116266\n", + "\n", + "$MSE_list[[83]][[88]]\n", + "[1] 2.352803\n", + "\n", + "$MSE_list[[83]][[89]]\n", + "[1] 8.130603\n", + "\n", + "$MSE_list[[83]][[90]]\n", + "[1] 3.345514\n", + "\n", + "$MSE_list[[83]][[91]]\n", + "[1] 3.178401\n", + "\n", + "$MSE_list[[83]][[92]]\n", + "[1] 4.376301\n", + "\n", + "$MSE_list[[83]][[93]]\n", + "[1] 6.814666\n", + "\n", + "$MSE_list[[83]][[94]]\n", + "[1] 4.890687\n", + "\n", + "$MSE_list[[83]][[95]]\n", + "[1] 2.582167\n", + "\n", + "$MSE_list[[83]][[96]]\n", + "[1] 6.330068\n", + "\n", + "$MSE_list[[83]][[97]]\n", + "[1] 3.446604\n", + "\n", + "$MSE_list[[83]][[98]]\n", + "[1] 3.444674\n", + "\n", + "$MSE_list[[83]][[99]]\n", + "[1] 4.832877\n", + "\n", + "$MSE_list[[83]][[100]]\n", + "[1] 3.768256\n", + "\n", + "\n", + "$MSE_list[[84]]\n", + "$MSE_list[[84]][[1]]\n", + "[1] 3.82078\n", + "\n", + "$MSE_list[[84]][[2]]\n", + "[1] 3.797176\n", + "\n", + "$MSE_list[[84]][[3]]\n", + "[1] 2.363799\n", + "\n", + "$MSE_list[[84]][[4]]\n", + "[1] 3.722505\n", + "\n", + "$MSE_list[[84]][[5]]\n", + "[1] 5.264987\n", + "\n", + "$MSE_list[[84]][[6]]\n", + "[1] 2.170284\n", + "\n", + "$MSE_list[[84]][[7]]\n", + "[1] 4.980824\n", + "\n", + "$MSE_list[[84]][[8]]\n", + "[1] 7.550831\n", + "\n", + "$MSE_list[[84]][[9]]\n", + "[1] 2.856729\n", + "\n", + "$MSE_list[[84]][[10]]\n", + "[1] 3.364222\n", + "\n", + "$MSE_list[[84]][[11]]\n", + "[1] 2.520381\n", + "\n", + "$MSE_list[[84]][[12]]\n", + "[1] 1.363872\n", + "\n", + "$MSE_list[[84]][[13]]\n", + "[1] 1.838492\n", + "\n", + "$MSE_list[[84]][[14]]\n", + "[1] 4.584836\n", + "\n", + "$MSE_list[[84]][[15]]\n", + "[1] 4.070305\n", + "\n", + "$MSE_list[[84]][[16]]\n", + "[1] 5.117085\n", + "\n", + "$MSE_list[[84]][[17]]\n", + "[1] 7.770361\n", + "\n", + "$MSE_list[[84]][[18]]\n", + "[1] 5.890105\n", + "\n", + "$MSE_list[[84]][[19]]\n", + "[1] 1.385718\n", + "\n", + "$MSE_list[[84]][[20]]\n", + "[1] 4.563577\n", + "\n", + "$MSE_list[[84]][[21]]\n", + "[1] 5.648753\n", + "\n", + "$MSE_list[[84]][[22]]\n", + "[1] 4.290202\n", + "\n", + "$MSE_list[[84]][[23]]\n", + "[1] 6.402302\n", + "\n", + "$MSE_list[[84]][[24]]\n", + "[1] 2.257386\n", + "\n", + "$MSE_list[[84]][[25]]\n", + "[1] 2.560993\n", + "\n", + "$MSE_list[[84]][[26]]\n", + "[1] 4.738598\n", + "\n", + "$MSE_list[[84]][[27]]\n", + "[1] 2.030014\n", + "\n", + "$MSE_list[[84]][[28]]\n", + "[1] 3.034554\n", + "\n", + "$MSE_list[[84]][[29]]\n", + "[1] 7.804747\n", + "\n", + "$MSE_list[[84]][[30]]\n", + "[1] 2.210292\n", + "\n", + "$MSE_list[[84]][[31]]\n", + "[1] 6.070384\n", + "\n", + "$MSE_list[[84]][[32]]\n", + "[1] 3.266183\n", + "\n", + "$MSE_list[[84]][[33]]\n", + "[1] 2.410437\n", + "\n", + "$MSE_list[[84]][[34]]\n", + "[1] 3.929313\n", + "\n", + "$MSE_list[[84]][[35]]\n", + "[1] 2.406501\n", + "\n", + "$MSE_list[[84]][[36]]\n", + "[1] 4.563438\n", + "\n", + "$MSE_list[[84]][[37]]\n", + "[1] 6.743897\n", + "\n", + "$MSE_list[[84]][[38]]\n", + "[1] 4.462062\n", + "\n", + "$MSE_list[[84]][[39]]\n", + "[1] 5.29258\n", + "\n", + "$MSE_list[[84]][[40]]\n", + "[1] 4.757249\n", + "\n", + "$MSE_list[[84]][[41]]\n", + "[1] 2.272326\n", + "\n", + "$MSE_list[[84]][[42]]\n", + "[1] 4.458638\n", + "\n", + "$MSE_list[[84]][[43]]\n", + "[1] 6.638542\n", + "\n", + "$MSE_list[[84]][[44]]\n", + "[1] 2.742924\n", + "\n", + "$MSE_list[[84]][[45]]\n", + "[1] 7.046582\n", + "\n", + "$MSE_list[[84]][[46]]\n", + "[1] 4.806176\n", + "\n", + "$MSE_list[[84]][[47]]\n", + "[1] 2.750735\n", + "\n", + "$MSE_list[[84]][[48]]\n", + "[1] 2.640834\n", + "\n", + "$MSE_list[[84]][[49]]\n", + "[1] 3.725582\n", + "\n", + "$MSE_list[[84]][[50]]\n", + "[1] 1.399368\n", + "\n", + "$MSE_list[[84]][[51]]\n", + "[1] 6.448317\n", + "\n", + "$MSE_list[[84]][[52]]\n", + "[1] 7.248705\n", + "\n", + "$MSE_list[[84]][[53]]\n", + "[1] 6.78038\n", + "\n", + "$MSE_list[[84]][[54]]\n", + "[1] 2.71256\n", + "\n", + "$MSE_list[[84]][[55]]\n", + "[1] 1.910629\n", + "\n", + "$MSE_list[[84]][[56]]\n", + "[1] 1.558968\n", + "\n", + "$MSE_list[[84]][[57]]\n", + "[1] 5.814622\n", + "\n", + "$MSE_list[[84]][[58]]\n", + "[1] 10.25169\n", + "\n", + "$MSE_list[[84]][[59]]\n", + "[1] 1.561084\n", + "\n", + "$MSE_list[[84]][[60]]\n", + "[1] 2.30685\n", + "\n", + "$MSE_list[[84]][[61]]\n", + "[1] 4.235203\n", + "\n", + "$MSE_list[[84]][[62]]\n", + "[1] 1.801579\n", + "\n", + "$MSE_list[[84]][[63]]\n", + "[1] 7.565654\n", + "\n", + "$MSE_list[[84]][[64]]\n", + "[1] 4.832345\n", + "\n", + "$MSE_list[[84]][[65]]\n", + "[1] 1.718394\n", + "\n", + "$MSE_list[[84]][[66]]\n", + "[1] 6.041635\n", + "\n", + "$MSE_list[[84]][[67]]\n", + "[1] 3.366379\n", + "\n", + "$MSE_list[[84]][[68]]\n", + "[1] 2.207871\n", + "\n", + "$MSE_list[[84]][[69]]\n", + "[1] 4.220432\n", + "\n", + "$MSE_list[[84]][[70]]\n", + "[1] 6.550471\n", + "\n", + "$MSE_list[[84]][[71]]\n", + "[1] 2.087345\n", + "\n", + "$MSE_list[[84]][[72]]\n", + "[1] 4.243848\n", + "\n", + "$MSE_list[[84]][[73]]\n", + "[1] 6.351029\n", + "\n", + "$MSE_list[[84]][[74]]\n", + "[1] 5.141696\n", + "\n", + "$MSE_list[[84]][[75]]\n", + "[1] 3.43717\n", + "\n", + "$MSE_list[[84]][[76]]\n", + "[1] 2.336029\n", + "\n", + "$MSE_list[[84]][[77]]\n", + "[1] 6.79536\n", + "\n", + "$MSE_list[[84]][[78]]\n", + "[1] 5.725011\n", + "\n", + "$MSE_list[[84]][[79]]\n", + "[1] 7.887421\n", + "\n", + "$MSE_list[[84]][[80]]\n", + "[1] 6.515317\n", + "\n", + "$MSE_list[[84]][[81]]\n", + "[1] 2.355188\n", + "\n", + "$MSE_list[[84]][[82]]\n", + "[1] 4.826945\n", + "\n", + "$MSE_list[[84]][[83]]\n", + "[1] 5.04608\n", + "\n", + "$MSE_list[[84]][[84]]\n", + "[1] 2.955994\n", + "\n", + "$MSE_list[[84]][[85]]\n", + "[1] 2.726199\n", + "\n", + "$MSE_list[[84]][[86]]\n", + "[1] 4.776786\n", + "\n", + "$MSE_list[[84]][[87]]\n", + "[1] 4.0562\n", + "\n", + "$MSE_list[[84]][[88]]\n", + "[1] 4.982215\n", + "\n", + "$MSE_list[[84]][[89]]\n", + "[1] 4.631905\n", + "\n", + "$MSE_list[[84]][[90]]\n", + "[1] 4.447489\n", + "\n", + "$MSE_list[[84]][[91]]\n", + "[1] 2.815856\n", + "\n", + "$MSE_list[[84]][[92]]\n", + "[1] 3.161805\n", + "\n", + "$MSE_list[[84]][[93]]\n", + "[1] 2.355716\n", + "\n", + "$MSE_list[[84]][[94]]\n", + "[1] 4.487709\n", + "\n", + "$MSE_list[[84]][[95]]\n", + "[1] 5.901143\n", + "\n", + "$MSE_list[[84]][[96]]\n", + "[1] 3.430044\n", + "\n", + "$MSE_list[[84]][[97]]\n", + "[1] 2.294927\n", + "\n", + "$MSE_list[[84]][[98]]\n", + "[1] 3.736933\n", + "\n", + "$MSE_list[[84]][[99]]\n", + "[1] 3.488878\n", + "\n", + "$MSE_list[[84]][[100]]\n", + "[1] 7.477656\n", + "\n", + "\n", + "$MSE_list[[85]]\n", + "$MSE_list[[85]][[1]]\n", + "[1] 5.743995\n", + "\n", + "$MSE_list[[85]][[2]]\n", + "[1] 2.421474\n", + "\n", + "$MSE_list[[85]][[3]]\n", + "[1] 2.443879\n", + "\n", + "$MSE_list[[85]][[4]]\n", + "[1] 5.300238\n", + "\n", + "$MSE_list[[85]][[5]]\n", + "[1] 3.152224\n", + "\n", + "$MSE_list[[85]][[6]]\n", + "[1] 7.005909\n", + "\n", + "$MSE_list[[85]][[7]]\n", + "[1] 4.669685\n", + "\n", + "$MSE_list[[85]][[8]]\n", + "[1] 1.141153\n", + "\n", + "$MSE_list[[85]][[9]]\n", + "[1] 2.301171\n", + "\n", + "$MSE_list[[85]][[10]]\n", + "[1] 5.520682\n", + "\n", + "$MSE_list[[85]][[11]]\n", + "[1] 8.692102\n", + "\n", + "$MSE_list[[85]][[12]]\n", + "[1] 3.849001\n", + "\n", + "$MSE_list[[85]][[13]]\n", + "[1] 4.506126\n", + "\n", + "$MSE_list[[85]][[14]]\n", + "[1] 4.605417\n", + "\n", + "$MSE_list[[85]][[15]]\n", + "[1] 10.59677\n", + "\n", + "$MSE_list[[85]][[16]]\n", + "[1] 3.178445\n", + "\n", + "$MSE_list[[85]][[17]]\n", + "[1] 3.623036\n", + "\n", + "$MSE_list[[85]][[18]]\n", + "[1] 2.747711\n", + "\n", + "$MSE_list[[85]][[19]]\n", + "[1] 4.245114\n", + "\n", + "$MSE_list[[85]][[20]]\n", + "[1] 2.721215\n", + "\n", + "$MSE_list[[85]][[21]]\n", + "[1] 7.909505\n", + "\n", + "$MSE_list[[85]][[22]]\n", + "[1] 9.811547\n", + "\n", + "$MSE_list[[85]][[23]]\n", + "[1] 6.522802\n", + "\n", + "$MSE_list[[85]][[24]]\n", + "[1] 3.568876\n", + "\n", + "$MSE_list[[85]][[25]]\n", + "[1] 5.923355\n", + "\n", + "$MSE_list[[85]][[26]]\n", + "[1] 4.151113\n", + "\n", + "$MSE_list[[85]][[27]]\n", + "[1] 4.333127\n", + "\n", + "$MSE_list[[85]][[28]]\n", + "[1] 6.526944\n", + "\n", + "$MSE_list[[85]][[29]]\n", + "[1] 8.165756\n", + "\n", + "$MSE_list[[85]][[30]]\n", + "[1] 7.651165\n", + "\n", + "$MSE_list[[85]][[31]]\n", + "[1] 5.515741\n", + "\n", + "$MSE_list[[85]][[32]]\n", + "[1] 8.245328\n", + "\n", + "$MSE_list[[85]][[33]]\n", + "[1] 4.29068\n", + "\n", + "$MSE_list[[85]][[34]]\n", + "[1] 6.209229\n", + "\n", + "$MSE_list[[85]][[35]]\n", + "[1] 3.775574\n", + "\n", + "$MSE_list[[85]][[36]]\n", + "[1] 3.140834\n", + "\n", + "$MSE_list[[85]][[37]]\n", + "[1] 7.132379\n", + "\n", + "$MSE_list[[85]][[38]]\n", + "[1] 3.429782\n", + "\n", + "$MSE_list[[85]][[39]]\n", + "[1] 2.49837\n", + "\n", + "$MSE_list[[85]][[40]]\n", + "[1] 4.852916\n", + "\n", + "$MSE_list[[85]][[41]]\n", + "[1] 3.189143\n", + "\n", + "$MSE_list[[85]][[42]]\n", + "[1] 3.49598\n", + "\n", + "$MSE_list[[85]][[43]]\n", + "[1] 6.599096\n", + "\n", + "$MSE_list[[85]][[44]]\n", + "[1] 6.295797\n", + "\n", + "$MSE_list[[85]][[45]]\n", + "[1] 7.328513\n", + "\n", + "$MSE_list[[85]][[46]]\n", + "[1] 10.9847\n", + "\n", + "$MSE_list[[85]][[47]]\n", + "[1] 5.437001\n", + "\n", + "$MSE_list[[85]][[48]]\n", + "[1] 3.541882\n", + "\n", + "$MSE_list[[85]][[49]]\n", + "[1] 5.930945\n", + "\n", + "$MSE_list[[85]][[50]]\n", + "[1] 5.318273\n", + "\n", + "$MSE_list[[85]][[51]]\n", + "[1] 2.264586\n", + "\n", + "$MSE_list[[85]][[52]]\n", + "[1] 8.48243\n", + "\n", + "$MSE_list[[85]][[53]]\n", + "[1] 4.496371\n", + "\n", + "$MSE_list[[85]][[54]]\n", + "[1] 6.590303\n", + "\n", + "$MSE_list[[85]][[55]]\n", + "[1] 3.912616\n", + "\n", + "$MSE_list[[85]][[56]]\n", + "[1] 7.409502\n", + "\n", + "$MSE_list[[85]][[57]]\n", + "[1] 5.136916\n", + "\n", + "$MSE_list[[85]][[58]]\n", + "[1] 6.062577\n", + "\n", + "$MSE_list[[85]][[59]]\n", + "[1] 4.907378\n", + "\n", + "$MSE_list[[85]][[60]]\n", + "[1] 4.653791\n", + "\n", + "$MSE_list[[85]][[61]]\n", + "[1] 3.498303\n", + "\n", + "$MSE_list[[85]][[62]]\n", + "[1] 4.790333\n", + "\n", + "$MSE_list[[85]][[63]]\n", + "[1] 7.016458\n", + "\n", + "$MSE_list[[85]][[64]]\n", + "[1] 6.345779\n", + "\n", + "$MSE_list[[85]][[65]]\n", + "[1] 4.281099\n", + "\n", + "$MSE_list[[85]][[66]]\n", + "[1] 4.690883\n", + "\n", + "$MSE_list[[85]][[67]]\n", + "[1] 5.448771\n", + "\n", + "$MSE_list[[85]][[68]]\n", + "[1] 10.19898\n", + "\n", + "$MSE_list[[85]][[69]]\n", + "[1] 4.573855\n", + "\n", + "$MSE_list[[85]][[70]]\n", + "[1] 4.087329\n", + "\n", + "$MSE_list[[85]][[71]]\n", + "[1] 3.741229\n", + "\n", + "$MSE_list[[85]][[72]]\n", + "[1] 3.962367\n", + "\n", + "$MSE_list[[85]][[73]]\n", + "[1] 5.388044\n", + "\n", + "$MSE_list[[85]][[74]]\n", + "[1] 5.492144\n", + "\n", + "$MSE_list[[85]][[75]]\n", + "[1] 4.762197\n", + "\n", + "$MSE_list[[85]][[76]]\n", + "[1] 3.855446\n", + "\n", + "$MSE_list[[85]][[77]]\n", + "[1] 4.966625\n", + "\n", + "$MSE_list[[85]][[78]]\n", + "[1] 5.577658\n", + "\n", + "$MSE_list[[85]][[79]]\n", + "[1] 4.702162\n", + "\n", + "$MSE_list[[85]][[80]]\n", + "[1] 4.398802\n", + "\n", + "$MSE_list[[85]][[81]]\n", + "[1] 3.960845\n", + "\n", + "$MSE_list[[85]][[82]]\n", + "[1] 3.482284\n", + "\n", + "$MSE_list[[85]][[83]]\n", + "[1] 5.999389\n", + "\n", + "$MSE_list[[85]][[84]]\n", + "[1] 6.655723\n", + "\n", + "$MSE_list[[85]][[85]]\n", + "[1] 1.74646\n", + "\n", + "$MSE_list[[85]][[86]]\n", + "[1] 3.651834\n", + "\n", + "$MSE_list[[85]][[87]]\n", + "[1] 7.722724\n", + "\n", + "$MSE_list[[85]][[88]]\n", + "[1] 4.877689\n", + "\n", + "$MSE_list[[85]][[89]]\n", + "[1] 5.618757\n", + "\n", + "$MSE_list[[85]][[90]]\n", + "[1] 5.470049\n", + "\n", + "$MSE_list[[85]][[91]]\n", + "[1] 2.885911\n", + "\n", + "$MSE_list[[85]][[92]]\n", + "[1] 2.973233\n", + "\n", + "$MSE_list[[85]][[93]]\n", + "[1] 3.535824\n", + "\n", + "$MSE_list[[85]][[94]]\n", + "[1] 5.060973\n", + "\n", + "$MSE_list[[85]][[95]]\n", + "[1] 7.006508\n", + "\n", + "$MSE_list[[85]][[96]]\n", + "[1] 2.789015\n", + "\n", + "$MSE_list[[85]][[97]]\n", + "[1] 5.315383\n", + "\n", + "$MSE_list[[85]][[98]]\n", + "[1] 4.976934\n", + "\n", + "$MSE_list[[85]][[99]]\n", + "[1] 9.25724\n", + "\n", + "$MSE_list[[85]][[100]]\n", + "[1] 3.592689\n", + "\n", + "\n", + "$MSE_list[[86]]\n", + "$MSE_list[[86]][[1]]\n", + "[1] 1.269219\n", + "\n", + "$MSE_list[[86]][[2]]\n", + "[1] 6.354988\n", + "\n", + "$MSE_list[[86]][[3]]\n", + "[1] 2.418752\n", + "\n", + "$MSE_list[[86]][[4]]\n", + "[1] 2.890236\n", + "\n", + "$MSE_list[[86]][[5]]\n", + "[1] 5.711636\n", + "\n", + "$MSE_list[[86]][[6]]\n", + "[1] 4.208462\n", + "\n", + "$MSE_list[[86]][[7]]\n", + "[1] 4.800824\n", + "\n", + "$MSE_list[[86]][[8]]\n", + "[1] 5.74959\n", + "\n", + "$MSE_list[[86]][[9]]\n", + "[1] 1.404769\n", + "\n", + "$MSE_list[[86]][[10]]\n", + "[1] 3.942804\n", + "\n", + "$MSE_list[[86]][[11]]\n", + "[1] 4.437957\n", + "\n", + "$MSE_list[[86]][[12]]\n", + "[1] 2.692197\n", + "\n", + "$MSE_list[[86]][[13]]\n", + "[1] 1.988632\n", + "\n", + "$MSE_list[[86]][[14]]\n", + "[1] 1.022515\n", + "\n", + "$MSE_list[[86]][[15]]\n", + "[1] 7.175227\n", + "\n", + "$MSE_list[[86]][[16]]\n", + "[1] 2.957607\n", + "\n", + "$MSE_list[[86]][[17]]\n", + "[1] 3.064321\n", + "\n", + "$MSE_list[[86]][[18]]\n", + "[1] 5.170529\n", + "\n", + "$MSE_list[[86]][[19]]\n", + "[1] 0.9689749\n", + "\n", + "$MSE_list[[86]][[20]]\n", + "[1] 3.807608\n", + "\n", + "$MSE_list[[86]][[21]]\n", + "[1] 3.528672\n", + "\n", + "$MSE_list[[86]][[22]]\n", + "[1] 2.110506\n", + "\n", + "$MSE_list[[86]][[23]]\n", + "[1] 2.567612\n", + "\n", + "$MSE_list[[86]][[24]]\n", + "[1] 5.465971\n", + "\n", + "$MSE_list[[86]][[25]]\n", + "[1] 4.238925\n", + "\n", + "$MSE_list[[86]][[26]]\n", + "[1] 6.275824\n", + "\n", + "$MSE_list[[86]][[27]]\n", + "[1] 3.123449\n", + "\n", + "$MSE_list[[86]][[28]]\n", + "[1] 3.907485\n", + "\n", + "$MSE_list[[86]][[29]]\n", + "[1] 1.095717\n", + "\n", + "$MSE_list[[86]][[30]]\n", + "[1] 4.203849\n", + "\n", + "$MSE_list[[86]][[31]]\n", + "[1] 3.259829\n", + "\n", + "$MSE_list[[86]][[32]]\n", + "[1] 3.544672\n", + "\n", + "$MSE_list[[86]][[33]]\n", + "[1] 3.579743\n", + "\n", + "$MSE_list[[86]][[34]]\n", + "[1] 1.402556\n", + "\n", + "$MSE_list[[86]][[35]]\n", + "[1] 3.690653\n", + "\n", + "$MSE_list[[86]][[36]]\n", + "[1] 3.239852\n", + "\n", + "$MSE_list[[86]][[37]]\n", + "[1] 1.797512\n", + "\n", + "$MSE_list[[86]][[38]]\n", + "[1] 3.95064\n", + "\n", + "$MSE_list[[86]][[39]]\n", + "[1] 2.982002\n", + "\n", + "$MSE_list[[86]][[40]]\n", + "[1] 3.537353\n", + "\n", + "$MSE_list[[86]][[41]]\n", + "[1] 5.492563\n", + "\n", + "$MSE_list[[86]][[42]]\n", + "[1] 3.744034\n", + "\n", + "$MSE_list[[86]][[43]]\n", + "[1] 5.276749\n", + "\n", + "$MSE_list[[86]][[44]]\n", + "[1] 4.386964\n", + "\n", + "$MSE_list[[86]][[45]]\n", + "[1] 3.486573\n", + "\n", + "$MSE_list[[86]][[46]]\n", + "[1] 4.462443\n", + "\n", + "$MSE_list[[86]][[47]]\n", + "[1] 1.704256\n", + "\n", + "$MSE_list[[86]][[48]]\n", + "[1] 3.690108\n", + "\n", + "$MSE_list[[86]][[49]]\n", + "[1] 5.507135\n", + "\n", + "$MSE_list[[86]][[50]]\n", + "[1] 1.212418\n", + "\n", + "$MSE_list[[86]][[51]]\n", + "[1] 4.657019\n", + "\n", + "$MSE_list[[86]][[52]]\n", + "[1] 5.972331\n", + "\n", + "$MSE_list[[86]][[53]]\n", + "[1] 3.475164\n", + "\n", + "$MSE_list[[86]][[54]]\n", + "[1] 6.333606\n", + "\n", + "$MSE_list[[86]][[55]]\n", + "[1] 3.546438\n", + "\n", + "$MSE_list[[86]][[56]]\n", + "[1] 4.455731\n", + "\n", + "$MSE_list[[86]][[57]]\n", + "[1] 3.12143\n", + "\n", + "$MSE_list[[86]][[58]]\n", + "[1] 4.838246\n", + "\n", + "$MSE_list[[86]][[59]]\n", + "[1] 0.5206732\n", + "\n", + "$MSE_list[[86]][[60]]\n", + "[1] 1.414282\n", + "\n", + "$MSE_list[[86]][[61]]\n", + "[1] 2.55958\n", + "\n", + "$MSE_list[[86]][[62]]\n", + "[1] 0.8247965\n", + "\n", + "$MSE_list[[86]][[63]]\n", + "[1] 3.725097\n", + "\n", + "$MSE_list[[86]][[64]]\n", + "[1] 4.164358\n", + "\n", + "$MSE_list[[86]][[65]]\n", + "[1] 2.688719\n", + "\n", + "$MSE_list[[86]][[66]]\n", + "[1] 3.946821\n", + "\n", + "$MSE_list[[86]][[67]]\n", + "[1] 3.24574\n", + "\n", + "$MSE_list[[86]][[68]]\n", + "[1] 1.793352\n", + "\n", + "$MSE_list[[86]][[69]]\n", + "[1] 5.136857\n", + "\n", + "$MSE_list[[86]][[70]]\n", + "[1] 1.7008\n", + "\n", + "$MSE_list[[86]][[71]]\n", + "[1] 3.826663\n", + "\n", + "$MSE_list[[86]][[72]]\n", + "[1] 3.162236\n", + "\n", + "$MSE_list[[86]][[73]]\n", + "[1] 3.20112\n", + "\n", + "$MSE_list[[86]][[74]]\n", + "[1] 2.547885\n", + "\n", + "$MSE_list[[86]][[75]]\n", + "[1] 2.545168\n", + "\n", + "$MSE_list[[86]][[76]]\n", + "[1] 3.035339\n", + "\n", + "$MSE_list[[86]][[77]]\n", + "[1] 3.356088\n", + "\n", + "$MSE_list[[86]][[78]]\n", + "[1] 2.549312\n", + "\n", + "$MSE_list[[86]][[79]]\n", + "[1] 4.320369\n", + "\n", + "$MSE_list[[86]][[80]]\n", + "[1] 4.017838\n", + "\n", + "$MSE_list[[86]][[81]]\n", + "[1] 1.848157\n", + "\n", + "$MSE_list[[86]][[82]]\n", + "[1] 1.667041\n", + "\n", + "$MSE_list[[86]][[83]]\n", + "[1] 4.639021\n", + "\n", + "$MSE_list[[86]][[84]]\n", + "[1] 6.027641\n", + "\n", + "$MSE_list[[86]][[85]]\n", + "[1] 2.842699\n", + "\n", + "$MSE_list[[86]][[86]]\n", + "[1] 1.519541\n", + "\n", + "$MSE_list[[86]][[87]]\n", + "[1] 2.343914\n", + "\n", + "$MSE_list[[86]][[88]]\n", + "[1] 1.188045\n", + "\n", + "$MSE_list[[86]][[89]]\n", + "[1] 3.460041\n", + "\n", + "$MSE_list[[86]][[90]]\n", + "[1] 3.685155\n", + "\n", + "$MSE_list[[86]][[91]]\n", + "[1] 3.824829\n", + "\n", + "$MSE_list[[86]][[92]]\n", + "[1] 4.76308\n", + "\n", + "$MSE_list[[86]][[93]]\n", + "[1] 5.169169\n", + "\n", + "$MSE_list[[86]][[94]]\n", + "[1] 2.518141\n", + "\n", + "$MSE_list[[86]][[95]]\n", + "[1] 4.427609\n", + "\n", + "$MSE_list[[86]][[96]]\n", + "[1] 1.94661\n", + "\n", + "$MSE_list[[86]][[97]]\n", + "[1] 1.367697\n", + "\n", + "$MSE_list[[86]][[98]]\n", + "[1] 3.030619\n", + "\n", + "$MSE_list[[86]][[99]]\n", + "[1] 2.739899\n", + "\n", + "$MSE_list[[86]][[100]]\n", + "[1] 1.475434\n", + "\n", + "\n", + "$MSE_list[[87]]\n", + "$MSE_list[[87]][[1]]\n", + "[1] 5.04422\n", + "\n", + "$MSE_list[[87]][[2]]\n", + "[1] 5.291895\n", + "\n", + "$MSE_list[[87]][[3]]\n", + "[1] 2.932888\n", + "\n", + "$MSE_list[[87]][[4]]\n", + "[1] 6.764663\n", + "\n", + "$MSE_list[[87]][[5]]\n", + "[1] 9.818085\n", + "\n", + "$MSE_list[[87]][[6]]\n", + "[1] 8.560506\n", + "\n", + "$MSE_list[[87]][[7]]\n", + "[1] 2.92472\n", + "\n", + "$MSE_list[[87]][[8]]\n", + "[1] 8.357607\n", + "\n", + "$MSE_list[[87]][[9]]\n", + "[1] 7.240596\n", + "\n", + "$MSE_list[[87]][[10]]\n", + "[1] 3.987841\n", + "\n", + "$MSE_list[[87]][[11]]\n", + "[1] 1.846599\n", + "\n", + "$MSE_list[[87]][[12]]\n", + "[1] 2.439154\n", + "\n", + "$MSE_list[[87]][[13]]\n", + "[1] 1.5295\n", + "\n", + "$MSE_list[[87]][[14]]\n", + "[1] 2.151642\n", + "\n", + "$MSE_list[[87]][[15]]\n", + "[1] 3.672161\n", + "\n", + "$MSE_list[[87]][[16]]\n", + "[1] 3.489104\n", + "\n", + "$MSE_list[[87]][[17]]\n", + "[1] 1.52308\n", + "\n", + "$MSE_list[[87]][[18]]\n", + "[1] 1.107886\n", + "\n", + "$MSE_list[[87]][[19]]\n", + "[1] 5.908735\n", + "\n", + "$MSE_list[[87]][[20]]\n", + "[1] 4.158935\n", + "\n", + "$MSE_list[[87]][[21]]\n", + "[1] 6.308765\n", + "\n", + "$MSE_list[[87]][[22]]\n", + "[1] 3.038605\n", + "\n", + "$MSE_list[[87]][[23]]\n", + "[1] 1.241822\n", + "\n", + "$MSE_list[[87]][[24]]\n", + "[1] 1.436629\n", + "\n", + "$MSE_list[[87]][[25]]\n", + "[1] 6.161763\n", + "\n", + "$MSE_list[[87]][[26]]\n", + "[1] 7.90576\n", + "\n", + "$MSE_list[[87]][[27]]\n", + "[1] 3.298684\n", + "\n", + "$MSE_list[[87]][[28]]\n", + "[1] 0.8758271\n", + "\n", + "$MSE_list[[87]][[29]]\n", + "[1] 2.633875\n", + "\n", + "$MSE_list[[87]][[30]]\n", + "[1] 5.81657\n", + "\n", + "$MSE_list[[87]][[31]]\n", + "[1] 7.759607\n", + "\n", + "$MSE_list[[87]][[32]]\n", + "[1] 2.323711\n", + "\n", + "$MSE_list[[87]][[33]]\n", + "[1] 1.57901\n", + "\n", + "$MSE_list[[87]][[34]]\n", + "[1] 3.821589\n", + "\n", + "$MSE_list[[87]][[35]]\n", + "[1] 1.359784\n", + "\n", + "$MSE_list[[87]][[36]]\n", + "[1] 2.924099\n", + "\n", + "$MSE_list[[87]][[37]]\n", + "[1] 2.743453\n", + "\n", + "$MSE_list[[87]][[38]]\n", + "[1] 3.308049\n", + "\n", + "$MSE_list[[87]][[39]]\n", + "[1] 9.27356\n", + "\n", + "$MSE_list[[87]][[40]]\n", + "[1] 3.112698\n", + "\n", + "$MSE_list[[87]][[41]]\n", + "[1] 3.688139\n", + "\n", + "$MSE_list[[87]][[42]]\n", + "[1] 4.60658\n", + "\n", + "$MSE_list[[87]][[43]]\n", + "[1] 0.5045398\n", + "\n", + "$MSE_list[[87]][[44]]\n", + "[1] 3.872991\n", + "\n", + "$MSE_list[[87]][[45]]\n", + "[1] 2.302744\n", + "\n", + "$MSE_list[[87]][[46]]\n", + "[1] 6.525113\n", + "\n", + "$MSE_list[[87]][[47]]\n", + "[1] 3.824903\n", + "\n", + "$MSE_list[[87]][[48]]\n", + "[1] 1.91523\n", + "\n", + "$MSE_list[[87]][[49]]\n", + "[1] 7.696016\n", + "\n", + "$MSE_list[[87]][[50]]\n", + "[1] 1.961381\n", + "\n", + "$MSE_list[[87]][[51]]\n", + "[1] 4.6187\n", + "\n", + "$MSE_list[[87]][[52]]\n", + "[1] 2.804398\n", + "\n", + "$MSE_list[[87]][[53]]\n", + "[1] 4.077446\n", + "\n", + "$MSE_list[[87]][[54]]\n", + "[1] 2.253634\n", + "\n", + "$MSE_list[[87]][[55]]\n", + "[1] 1.620789\n", + "\n", + "$MSE_list[[87]][[56]]\n", + "[1] 1.62177\n", + "\n", + "$MSE_list[[87]][[57]]\n", + "[1] 3.588495\n", + "\n", + "$MSE_list[[87]][[58]]\n", + "[1] 5.64915\n", + "\n", + "$MSE_list[[87]][[59]]\n", + "[1] 2.017305\n", + "\n", + "$MSE_list[[87]][[60]]\n", + "[1] 1.174917\n", + "\n", + "$MSE_list[[87]][[61]]\n", + "[1] 1.73677\n", + "\n", + "$MSE_list[[87]][[62]]\n", + "[1] 3.691369\n", + "\n", + "$MSE_list[[87]][[63]]\n", + "[1] 3.75291\n", + "\n", + "$MSE_list[[87]][[64]]\n", + "[1] 5.647225\n", + "\n", + "$MSE_list[[87]][[65]]\n", + "[1] 5.92195\n", + "\n", + "$MSE_list[[87]][[66]]\n", + "[1] 2.151806\n", + "\n", + "$MSE_list[[87]][[67]]\n", + "[1] 5.485257\n", + "\n", + "$MSE_list[[87]][[68]]\n", + "[1] 4.364863\n", + "\n", + "$MSE_list[[87]][[69]]\n", + "[1] 1.791323\n", + "\n", + "$MSE_list[[87]][[70]]\n", + "[1] 4.8541\n", + "\n", + "$MSE_list[[87]][[71]]\n", + "[1] 0.8247648\n", + "\n", + "$MSE_list[[87]][[72]]\n", + "[1] 5.954024\n", + "\n", + "$MSE_list[[87]][[73]]\n", + "[1] 4.175647\n", + "\n", + "$MSE_list[[87]][[74]]\n", + "[1] 4.40238\n", + "\n", + "$MSE_list[[87]][[75]]\n", + "[1] 4.237405\n", + "\n", + "$MSE_list[[87]][[76]]\n", + "[1] 4.69027\n", + "\n", + "$MSE_list[[87]][[77]]\n", + "[1] 2.720461\n", + "\n", + "$MSE_list[[87]][[78]]\n", + "[1] 4.123542\n", + "\n", + "$MSE_list[[87]][[79]]\n", + "[1] 1.82691\n", + "\n", + "$MSE_list[[87]][[80]]\n", + "[1] 2.053683\n", + "\n", + "$MSE_list[[87]][[81]]\n", + "[1] 8.015385\n", + "\n", + "$MSE_list[[87]][[82]]\n", + "[1] 5.445751\n", + "\n", + "$MSE_list[[87]][[83]]\n", + "[1] 6.388954\n", + "\n", + "$MSE_list[[87]][[84]]\n", + "[1] 3.943612\n", + "\n", + "$MSE_list[[87]][[85]]\n", + "[1] 1.682771\n", + "\n", + "$MSE_list[[87]][[86]]\n", + "[1] 4.883886\n", + "\n", + "$MSE_list[[87]][[87]]\n", + "[1] 3.042994\n", + "\n", + "$MSE_list[[87]][[88]]\n", + "[1] 2.738069\n", + "\n", + "$MSE_list[[87]][[89]]\n", + "[1] 2.108821\n", + "\n", + "$MSE_list[[87]][[90]]\n", + "[1] 3.729331\n", + "\n", + "$MSE_list[[87]][[91]]\n", + "[1] 3.613428\n", + "\n", + "$MSE_list[[87]][[92]]\n", + "[1] 6.291245\n", + "\n", + "$MSE_list[[87]][[93]]\n", + "[1] 2.197531\n", + "\n", + "$MSE_list[[87]][[94]]\n", + "[1] 4.858276\n", + "\n", + "$MSE_list[[87]][[95]]\n", + "[1] 4.570388\n", + "\n", + "$MSE_list[[87]][[96]]\n", + "[1] 3.232137\n", + "\n", + "$MSE_list[[87]][[97]]\n", + "[1] 3.655769\n", + "\n", + "$MSE_list[[87]][[98]]\n", + "[1] 1.404931\n", + "\n", + "$MSE_list[[87]][[99]]\n", + "[1] 1.949806\n", + "\n", + "$MSE_list[[87]][[100]]\n", + "[1] 2.61034\n", + "\n", + "\n", + "$MSE_list[[88]]\n", + "$MSE_list[[88]][[1]]\n", + "[1] 6.63231\n", + "\n", + "$MSE_list[[88]][[2]]\n", + "[1] 5.260722\n", + "\n", + "$MSE_list[[88]][[3]]\n", + "[1] 4.810518\n", + "\n", + "$MSE_list[[88]][[4]]\n", + "[1] 7.23544\n", + "\n", + "$MSE_list[[88]][[5]]\n", + "[1] 4.968394\n", + "\n", + "$MSE_list[[88]][[6]]\n", + "[1] 5.298936\n", + "\n", + "$MSE_list[[88]][[7]]\n", + "[1] 2.009975\n", + "\n", + "$MSE_list[[88]][[8]]\n", + "[1] 2.710125\n", + "\n", + "$MSE_list[[88]][[9]]\n", + "[1] 8.699963\n", + "\n", + "$MSE_list[[88]][[10]]\n", + "[1] 9.83783\n", + "\n", + "$MSE_list[[88]][[11]]\n", + "[1] 1.976069\n", + "\n", + "$MSE_list[[88]][[12]]\n", + "[1] 9.321961\n", + "\n", + "$MSE_list[[88]][[13]]\n", + "[1] 6.326597\n", + "\n", + "$MSE_list[[88]][[14]]\n", + "[1] 1.98684\n", + "\n", + "$MSE_list[[88]][[15]]\n", + "[1] 3.325784\n", + "\n", + "$MSE_list[[88]][[16]]\n", + "[1] 3.419954\n", + "\n", + "$MSE_list[[88]][[17]]\n", + "[1] 5.933137\n", + "\n", + "$MSE_list[[88]][[18]]\n", + "[1] 5.706498\n", + "\n", + "$MSE_list[[88]][[19]]\n", + "[1] 7.678066\n", + "\n", + "$MSE_list[[88]][[20]]\n", + "[1] 7.211109\n", + "\n", + "$MSE_list[[88]][[21]]\n", + "[1] 4.394911\n", + "\n", + "$MSE_list[[88]][[22]]\n", + "[1] 6.834263\n", + "\n", + "$MSE_list[[88]][[23]]\n", + "[1] 1.840092\n", + "\n", + "$MSE_list[[88]][[24]]\n", + "[1] 5.359961\n", + "\n", + "$MSE_list[[88]][[25]]\n", + "[1] 2.99037\n", + "\n", + "$MSE_list[[88]][[26]]\n", + "[1] 2.458699\n", + "\n", + "$MSE_list[[88]][[27]]\n", + "[1] 5.103479\n", + "\n", + "$MSE_list[[88]][[28]]\n", + "[1] 4.118656\n", + "\n", + "$MSE_list[[88]][[29]]\n", + "[1] 2.689933\n", + "\n", + "$MSE_list[[88]][[30]]\n", + "[1] 7.206602\n", + "\n", + "$MSE_list[[88]][[31]]\n", + "[1] 4.345364\n", + "\n", + "$MSE_list[[88]][[32]]\n", + "[1] 1.936428\n", + "\n", + "$MSE_list[[88]][[33]]\n", + "[1] 2.590107\n", + "\n", + "$MSE_list[[88]][[34]]\n", + "[1] 8.264262\n", + "\n", + "$MSE_list[[88]][[35]]\n", + "[1] 0.5703499\n", + "\n", + "$MSE_list[[88]][[36]]\n", + "[1] 5.911255\n", + "\n", + "$MSE_list[[88]][[37]]\n", + "[1] 3.749952\n", + "\n", + "$MSE_list[[88]][[38]]\n", + "[1] 3.384256\n", + "\n", + "$MSE_list[[88]][[39]]\n", + "[1] 2.628594\n", + "\n", + "$MSE_list[[88]][[40]]\n", + "[1] 2.851253\n", + "\n", + "$MSE_list[[88]][[41]]\n", + "[1] 2.579136\n", + "\n", + "$MSE_list[[88]][[42]]\n", + "[1] 3.655722\n", + "\n", + "$MSE_list[[88]][[43]]\n", + "[1] 2.273386\n", + "\n", + "$MSE_list[[88]][[44]]\n", + "[1] 1.729529\n", + "\n", + "$MSE_list[[88]][[45]]\n", + "[1] 4.365082\n", + "\n", + "$MSE_list[[88]][[46]]\n", + "[1] 8.37021\n", + "\n", + "$MSE_list[[88]][[47]]\n", + "[1] 6.394005\n", + "\n", + "$MSE_list[[88]][[48]]\n", + "[1] 6.41641\n", + "\n", + "$MSE_list[[88]][[49]]\n", + "[1] 1.872534\n", + "\n", + "$MSE_list[[88]][[50]]\n", + "[1] 2.660547\n", + "\n", + "$MSE_list[[88]][[51]]\n", + "[1] 7.190268\n", + "\n", + "$MSE_list[[88]][[52]]\n", + "[1] 1.591531\n", + "\n", + "$MSE_list[[88]][[53]]\n", + "[1] 7.974087\n", + "\n", + "$MSE_list[[88]][[54]]\n", + "[1] 7.835637\n", + "\n", + "$MSE_list[[88]][[55]]\n", + "[1] 8.2833\n", + "\n", + "$MSE_list[[88]][[56]]\n", + "[1] 5.814258\n", + "\n", + "$MSE_list[[88]][[57]]\n", + "[1] 7.627012\n", + "\n", + "$MSE_list[[88]][[58]]\n", + "[1] 3.908618\n", + "\n", + "$MSE_list[[88]][[59]]\n", + "[1] 5.148763\n", + "\n", + "$MSE_list[[88]][[60]]\n", + "[1] 4.763787\n", + "\n", + "$MSE_list[[88]][[61]]\n", + "[1] 1.070252\n", + "\n", + "$MSE_list[[88]][[62]]\n", + "[1] 1.746773\n", + "\n", + "$MSE_list[[88]][[63]]\n", + "[1] 4.641923\n", + "\n", + "$MSE_list[[88]][[64]]\n", + "[1] 7.611386\n", + "\n", + "$MSE_list[[88]][[65]]\n", + "[1] 3.675998\n", + "\n", + "$MSE_list[[88]][[66]]\n", + "[1] 4.711017\n", + "\n", + "$MSE_list[[88]][[67]]\n", + "[1] 6.416428\n", + "\n", + "$MSE_list[[88]][[68]]\n", + "[1] 5.235968\n", + "\n", + "$MSE_list[[88]][[69]]\n", + "[1] 7.948154\n", + "\n", + "$MSE_list[[88]][[70]]\n", + "[1] 7.188562\n", + "\n", + "$MSE_list[[88]][[71]]\n", + "[1] 8.560104\n", + "\n", + "$MSE_list[[88]][[72]]\n", + "[1] 3.566589\n", + "\n", + "$MSE_list[[88]][[73]]\n", + "[1] 2.640137\n", + "\n", + "$MSE_list[[88]][[74]]\n", + "[1] 7.071801\n", + "\n", + "$MSE_list[[88]][[75]]\n", + "[1] 1.772045\n", + "\n", + "$MSE_list[[88]][[76]]\n", + "[1] 3.290693\n", + "\n", + "$MSE_list[[88]][[77]]\n", + "[1] 4.912432\n", + "\n", + "$MSE_list[[88]][[78]]\n", + "[1] 7.767964\n", + "\n", + "$MSE_list[[88]][[79]]\n", + "[1] 4.815764\n", + "\n", + "$MSE_list[[88]][[80]]\n", + "[1] 2.907497\n", + "\n", + "$MSE_list[[88]][[81]]\n", + "[1] 5.172589\n", + "\n", + "$MSE_list[[88]][[82]]\n", + "[1] 4.265128\n", + "\n", + "$MSE_list[[88]][[83]]\n", + "[1] 1.184607\n", + "\n", + "$MSE_list[[88]][[84]]\n", + "[1] 2.798291\n", + "\n", + "$MSE_list[[88]][[85]]\n", + "[1] 10.026\n", + "\n", + "$MSE_list[[88]][[86]]\n", + "[1] 5.204654\n", + "\n", + "$MSE_list[[88]][[87]]\n", + "[1] 7.340332\n", + "\n", + "$MSE_list[[88]][[88]]\n", + "[1] 1.952518\n", + "\n", + "$MSE_list[[88]][[89]]\n", + "[1] 2.766714\n", + "\n", + "$MSE_list[[88]][[90]]\n", + "[1] 2.036948\n", + "\n", + "$MSE_list[[88]][[91]]\n", + "[1] 4.270316\n", + "\n", + "$MSE_list[[88]][[92]]\n", + "[1] 5.582275\n", + "\n", + "$MSE_list[[88]][[93]]\n", + "[1] 4.885506\n", + "\n", + "$MSE_list[[88]][[94]]\n", + "[1] 9.231926\n", + "\n", + "$MSE_list[[88]][[95]]\n", + "[1] 7.153475\n", + "\n", + "$MSE_list[[88]][[96]]\n", + "[1] 4.774421\n", + "\n", + "$MSE_list[[88]][[97]]\n", + "[1] 1.862073\n", + "\n", + "$MSE_list[[88]][[98]]\n", + "[1] 3.735769\n", + "\n", + "$MSE_list[[88]][[99]]\n", + "[1] 2.763651\n", + "\n", + "$MSE_list[[88]][[100]]\n", + "[1] 6.331803\n", + "\n", + "\n", + "$MSE_list[[89]]\n", + "$MSE_list[[89]][[1]]\n", + "[1] 1.923719\n", + "\n", + "$MSE_list[[89]][[2]]\n", + "[1] 5.736938\n", + "\n", + "$MSE_list[[89]][[3]]\n", + "[1] 0.8813659\n", + "\n", + "$MSE_list[[89]][[4]]\n", + "[1] 2.021372\n", + "\n", + "$MSE_list[[89]][[5]]\n", + "[1] 2.354104\n", + "\n", + "$MSE_list[[89]][[6]]\n", + "[1] 1.607252\n", + "\n", + "$MSE_list[[89]][[7]]\n", + "[1] 2.447359\n", + "\n", + "$MSE_list[[89]][[8]]\n", + "[1] 1.343219\n", + "\n", + "$MSE_list[[89]][[9]]\n", + "[1] 1.175279\n", + "\n", + "$MSE_list[[89]][[10]]\n", + "[1] 4.141483\n", + "\n", + "$MSE_list[[89]][[11]]\n", + "[1] 3.134135\n", + "\n", + "$MSE_list[[89]][[12]]\n", + "[1] 1.080289\n", + "\n", + "$MSE_list[[89]][[13]]\n", + "[1] 1.089884\n", + "\n", + "$MSE_list[[89]][[14]]\n", + "[1] 0.8081853\n", + "\n", + "$MSE_list[[89]][[15]]\n", + "[1] 1.071061\n", + "\n", + "$MSE_list[[89]][[16]]\n", + "[1] 1.517458\n", + "\n", + "$MSE_list[[89]][[17]]\n", + "[1] 1.582591\n", + "\n", + "$MSE_list[[89]][[18]]\n", + "[1] 7.281252\n", + "\n", + "$MSE_list[[89]][[19]]\n", + "[1] 1.441846\n", + "\n", + "$MSE_list[[89]][[20]]\n", + "[1] 2.159948\n", + "\n", + "$MSE_list[[89]][[21]]\n", + "[1] 1.663399\n", + "\n", + "$MSE_list[[89]][[22]]\n", + "[1] 0.7363087\n", + "\n", + "$MSE_list[[89]][[23]]\n", + "[1] 5.553592\n", + "\n", + "$MSE_list[[89]][[24]]\n", + "[1] 2.467635\n", + "\n", + "$MSE_list[[89]][[25]]\n", + "[1] 7.779366\n", + "\n", + "$MSE_list[[89]][[26]]\n", + "[1] 3.857484\n", + "\n", + "$MSE_list[[89]][[27]]\n", + "[1] 8.820423\n", + "\n", + "$MSE_list[[89]][[28]]\n", + "[1] 1.386093\n", + "\n", + "$MSE_list[[89]][[29]]\n", + "[1] 1.478153\n", + "\n", + "$MSE_list[[89]][[30]]\n", + "[1] 5.082553\n", + "\n", + "$MSE_list[[89]][[31]]\n", + "[1] 1.793649\n", + "\n", + "$MSE_list[[89]][[32]]\n", + "[1] 1.932594\n", + "\n", + "$MSE_list[[89]][[33]]\n", + "[1] 1.89966\n", + "\n", + "$MSE_list[[89]][[34]]\n", + "[1] 0.9212499\n", + "\n", + "$MSE_list[[89]][[35]]\n", + "[1] 1.375303\n", + "\n", + "$MSE_list[[89]][[36]]\n", + "[1] 6.069241\n", + "\n", + "$MSE_list[[89]][[37]]\n", + "[1] 1.727498\n", + "\n", + "$MSE_list[[89]][[38]]\n", + "[1] 1.735148\n", + "\n", + "$MSE_list[[89]][[39]]\n", + "[1] 1.717727\n", + "\n", + "$MSE_list[[89]][[40]]\n", + "[1] 1.614139\n", + "\n", + "$MSE_list[[89]][[41]]\n", + "[1] 0.4880013\n", + "\n", + "$MSE_list[[89]][[42]]\n", + "[1] 2.188604\n", + "\n", + "$MSE_list[[89]][[43]]\n", + "[1] 1.5908\n", + "\n", + "$MSE_list[[89]][[44]]\n", + "[1] 0.7870016\n", + "\n", + "$MSE_list[[89]][[45]]\n", + "[1] 4.108503\n", + "\n", + "$MSE_list[[89]][[46]]\n", + "[1] 0.9874784\n", + "\n", + "$MSE_list[[89]][[47]]\n", + "[1] 1.310192\n", + "\n", + "$MSE_list[[89]][[48]]\n", + "[1] 1.683224\n", + "\n", + "$MSE_list[[89]][[49]]\n", + "[1] 5.425829\n", + "\n", + "$MSE_list[[89]][[50]]\n", + "[1] 5.002998\n", + "\n", + "$MSE_list[[89]][[51]]\n", + "[1] 0.8965355\n", + "\n", + "$MSE_list[[89]][[52]]\n", + "[1] 0.9934102\n", + "\n", + "$MSE_list[[89]][[53]]\n", + "[1] 1.200433\n", + "\n", + "$MSE_list[[89]][[54]]\n", + "[1] 5.483715\n", + "\n", + "$MSE_list[[89]][[55]]\n", + "[1] 2.868185\n", + "\n", + "$MSE_list[[89]][[56]]\n", + "[1] 2.016386\n", + "\n", + "$MSE_list[[89]][[57]]\n", + "[1] 3.860685\n", + "\n", + "$MSE_list[[89]][[58]]\n", + "[1] 5.53878\n", + "\n", + "$MSE_list[[89]][[59]]\n", + "[1] 0.6495409\n", + "\n", + "$MSE_list[[89]][[60]]\n", + "[1] 3.299285\n", + "\n", + "$MSE_list[[89]][[61]]\n", + "[1] 5.185092\n", + "\n", + "$MSE_list[[89]][[62]]\n", + "[1] 1.59425\n", + "\n", + "$MSE_list[[89]][[63]]\n", + "[1] 4.75579\n", + "\n", + "$MSE_list[[89]][[64]]\n", + "[1] 2.445231\n", + "\n", + "$MSE_list[[89]][[65]]\n", + "[1] 1.312886\n", + "\n", + "$MSE_list[[89]][[66]]\n", + "[1] 2.483807\n", + "\n", + "$MSE_list[[89]][[67]]\n", + "[1] 1.344323\n", + "\n", + "$MSE_list[[89]][[68]]\n", + "[1] 2.188648\n", + "\n", + "$MSE_list[[89]][[69]]\n", + "[1] 8.748836\n", + "\n", + "$MSE_list[[89]][[70]]\n", + "[1] 3.236416\n", + "\n", + "$MSE_list[[89]][[71]]\n", + "[1] 1.168483\n", + "\n", + "$MSE_list[[89]][[72]]\n", + "[1] 1.3554\n", + "\n", + "$MSE_list[[89]][[73]]\n", + "[1] 2.157704\n", + "\n", + "$MSE_list[[89]][[74]]\n", + "[1] 5.746761\n", + "\n", + "$MSE_list[[89]][[75]]\n", + "[1] 2.401067\n", + "\n", + "$MSE_list[[89]][[76]]\n", + "[1] 3.302595\n", + "\n", + "$MSE_list[[89]][[77]]\n", + "[1] 2.582861\n", + "\n", + "$MSE_list[[89]][[78]]\n", + "[1] 3.529547\n", + "\n", + "$MSE_list[[89]][[79]]\n", + "[1] 2.0604\n", + "\n", + "$MSE_list[[89]][[80]]\n", + "[1] 3.061358\n", + "\n", + "$MSE_list[[89]][[81]]\n", + "[1] 5.960759\n", + "\n", + "$MSE_list[[89]][[82]]\n", + "[1] 0.668841\n", + "\n", + "$MSE_list[[89]][[83]]\n", + "[1] 2.527712\n", + "\n", + "$MSE_list[[89]][[84]]\n", + "[1] 2.24331\n", + "\n", + "$MSE_list[[89]][[85]]\n", + "[1] 1.478372\n", + "\n", + "$MSE_list[[89]][[86]]\n", + "[1] 1.853826\n", + "\n", + "$MSE_list[[89]][[87]]\n", + "[1] 2.68279\n", + "\n", + "$MSE_list[[89]][[88]]\n", + "[1] 1.355653\n", + "\n", + "$MSE_list[[89]][[89]]\n", + "[1] 2.090398\n", + "\n", + "$MSE_list[[89]][[90]]\n", + "[1] 0.743899\n", + "\n", + "$MSE_list[[89]][[91]]\n", + "[1] 1.102756\n", + "\n", + "$MSE_list[[89]][[92]]\n", + "[1] 1.708454\n", + "\n", + "$MSE_list[[89]][[93]]\n", + "[1] 0.7234034\n", + "\n", + "$MSE_list[[89]][[94]]\n", + "[1] 0.8067804\n", + "\n", + "$MSE_list[[89]][[95]]\n", + "[1] 1.207464\n", + "\n", + "$MSE_list[[89]][[96]]\n", + "[1] 1.043666\n", + "\n", + "$MSE_list[[89]][[97]]\n", + "[1] 1.201093\n", + "\n", + "$MSE_list[[89]][[98]]\n", + "[1] 2.514523\n", + "\n", + "$MSE_list[[89]][[99]]\n", + "[1] 2.224097\n", + "\n", + "$MSE_list[[89]][[100]]\n", + "[1] 3.045685\n", + "\n", + "\n", + "$MSE_list[[90]]\n", + "$MSE_list[[90]][[1]]\n", + "[1] 4.896658\n", + "\n", + "$MSE_list[[90]][[2]]\n", + "[1] 5.310538\n", + "\n", + "$MSE_list[[90]][[3]]\n", + "[1] 6.679867\n", + "\n", + "$MSE_list[[90]][[4]]\n", + "[1] 7.259375\n", + "\n", + "$MSE_list[[90]][[5]]\n", + "[1] 4.939617\n", + "\n", + "$MSE_list[[90]][[6]]\n", + "[1] 10.01327\n", + "\n", + "$MSE_list[[90]][[7]]\n", + "[1] 2.447134\n", + "\n", + "$MSE_list[[90]][[8]]\n", + "[1] 9.049131\n", + "\n", + "$MSE_list[[90]][[9]]\n", + "[1] 2.897781\n", + "\n", + "$MSE_list[[90]][[10]]\n", + "[1] 5.893497\n", + "\n", + "$MSE_list[[90]][[11]]\n", + "[1] 3.738403\n", + "\n", + "$MSE_list[[90]][[12]]\n", + "[1] 4.299421\n", + "\n", + "$MSE_list[[90]][[13]]\n", + "[1] 3.314484\n", + "\n", + "$MSE_list[[90]][[14]]\n", + "[1] 2.907393\n", + "\n", + "$MSE_list[[90]][[15]]\n", + "[1] 1.782869\n", + "\n", + "$MSE_list[[90]][[16]]\n", + "[1] 9.049358\n", + "\n", + "$MSE_list[[90]][[17]]\n", + "[1] 8.611981\n", + "\n", + "$MSE_list[[90]][[18]]\n", + "[1] 4.365002\n", + "\n", + "$MSE_list[[90]][[19]]\n", + "[1] 9.41609\n", + "\n", + "$MSE_list[[90]][[20]]\n", + "[1] 6.020203\n", + "\n", + "$MSE_list[[90]][[21]]\n", + "[1] 2.224677\n", + "\n", + "$MSE_list[[90]][[22]]\n", + "[1] 5.44742\n", + "\n", + "$MSE_list[[90]][[23]]\n", + "[1] 6.278188\n", + "\n", + "$MSE_list[[90]][[24]]\n", + "[1] 3.174902\n", + "\n", + "$MSE_list[[90]][[25]]\n", + "[1] 2.415778\n", + "\n", + "$MSE_list[[90]][[26]]\n", + "[1] 4.211828\n", + "\n", + "$MSE_list[[90]][[27]]\n", + "[1] 4.675065\n", + "\n", + "$MSE_list[[90]][[28]]\n", + "[1] 0.6810789\n", + "\n", + "$MSE_list[[90]][[29]]\n", + "[1] 1.541636\n", + "\n", + "$MSE_list[[90]][[30]]\n", + "[1] 2.958992\n", + "\n", + "$MSE_list[[90]][[31]]\n", + "[1] 4.10343\n", + "\n", + "$MSE_list[[90]][[32]]\n", + "[1] 5.449363\n", + "\n", + "$MSE_list[[90]][[33]]\n", + "[1] 9.09791\n", + "\n", + "$MSE_list[[90]][[34]]\n", + "[1] 2.504898\n", + "\n", + "$MSE_list[[90]][[35]]\n", + "[1] 3.680898\n", + "\n", + "$MSE_list[[90]][[36]]\n", + "[1] 11.74468\n", + "\n", + "$MSE_list[[90]][[37]]\n", + "[1] 2.295942\n", + "\n", + "$MSE_list[[90]][[38]]\n", + "[1] 0.9104352\n", + "\n", + "$MSE_list[[90]][[39]]\n", + "[1] 8.25492\n", + "\n", + "$MSE_list[[90]][[40]]\n", + "[1] 5.814524\n", + "\n", + "$MSE_list[[90]][[41]]\n", + "[1] 4.098618\n", + "\n", + "$MSE_list[[90]][[42]]\n", + "[1] 5.072448\n", + "\n", + "$MSE_list[[90]][[43]]\n", + "[1] 2.37099\n", + "\n", + "$MSE_list[[90]][[44]]\n", + "[1] 7.189135\n", + "\n", + "$MSE_list[[90]][[45]]\n", + "[1] 6.17406\n", + "\n", + "$MSE_list[[90]][[46]]\n", + "[1] 1.232228\n", + "\n", + "$MSE_list[[90]][[47]]\n", + "[1] 2.49345\n", + "\n", + "$MSE_list[[90]][[48]]\n", + "[1] 3.9673\n", + "\n", + "$MSE_list[[90]][[49]]\n", + "[1] 4.510853\n", + "\n", + "$MSE_list[[90]][[50]]\n", + "[1] 2.738281\n", + "\n", + "$MSE_list[[90]][[51]]\n", + "[1] 9.298013\n", + "\n", + "$MSE_list[[90]][[52]]\n", + "[1] 7.853795\n", + "\n", + "$MSE_list[[90]][[53]]\n", + "[1] 4.179085\n", + "\n", + "$MSE_list[[90]][[54]]\n", + "[1] 5.426714\n", + "\n", + "$MSE_list[[90]][[55]]\n", + "[1] 6.636271\n", + "\n", + "$MSE_list[[90]][[56]]\n", + "[1] 1.833019\n", + "\n", + "$MSE_list[[90]][[57]]\n", + "[1] 9.317721\n", + "\n", + "$MSE_list[[90]][[58]]\n", + "[1] 3.173728\n", + "\n", + "$MSE_list[[90]][[59]]\n", + "[1] 3.337023\n", + "\n", + "$MSE_list[[90]][[60]]\n", + "[1] 4.678646\n", + "\n", + "$MSE_list[[90]][[61]]\n", + "[1] 7.147647\n", + "\n", + "$MSE_list[[90]][[62]]\n", + "[1] 5.606745\n", + "\n", + "$MSE_list[[90]][[63]]\n", + "[1] 1.351099\n", + "\n", + "$MSE_list[[90]][[64]]\n", + "[1] 1.487692\n", + "\n", + "$MSE_list[[90]][[65]]\n", + "[1] 7.319664\n", + "\n", + "$MSE_list[[90]][[66]]\n", + "[1] 3.993379\n", + "\n", + "$MSE_list[[90]][[67]]\n", + "[1] 5.707157\n", + "\n", + "$MSE_list[[90]][[68]]\n", + "[1] 4.908835\n", + "\n", + "$MSE_list[[90]][[69]]\n", + "[1] 2.060656\n", + "\n", + "$MSE_list[[90]][[70]]\n", + "[1] 2.48661\n", + "\n", + "$MSE_list[[90]][[71]]\n", + "[1] 7.440062\n", + "\n", + "$MSE_list[[90]][[72]]\n", + "[1] 7.953774\n", + "\n", + "$MSE_list[[90]][[73]]\n", + "[1] 2.017075\n", + "\n", + "$MSE_list[[90]][[74]]\n", + "[1] 9.259482\n", + "\n", + "$MSE_list[[90]][[75]]\n", + "[1] 6.440487\n", + "\n", + "$MSE_list[[90]][[76]]\n", + "[1] 9.002674\n", + "\n", + "$MSE_list[[90]][[77]]\n", + "[1] 4.465823\n", + "\n", + "$MSE_list[[90]][[78]]\n", + "[1] 8.965711\n", + "\n", + "$MSE_list[[90]][[79]]\n", + "[1] 6.493614\n", + "\n", + "$MSE_list[[90]][[80]]\n", + "[1] 3.043832\n", + "\n", + "$MSE_list[[90]][[81]]\n", + "[1] 10.42681\n", + "\n", + "$MSE_list[[90]][[82]]\n", + "[1] 4.477566\n", + "\n", + "$MSE_list[[90]][[83]]\n", + "[1] 8.836984\n", + "\n", + "$MSE_list[[90]][[84]]\n", + "[1] 9.899228\n", + "\n", + "$MSE_list[[90]][[85]]\n", + "[1] 2.285087\n", + "\n", + "$MSE_list[[90]][[86]]\n", + "[1] 3.420036\n", + "\n", + "$MSE_list[[90]][[87]]\n", + "[1] 8.186613\n", + "\n", + "$MSE_list[[90]][[88]]\n", + "[1] 3.128856\n", + "\n", + "$MSE_list[[90]][[89]]\n", + "[1] 1.239932\n", + "\n", + "$MSE_list[[90]][[90]]\n", + "[1] 4.476713\n", + "\n", + "$MSE_list[[90]][[91]]\n", + "[1] 3.3564\n", + "\n", + "$MSE_list[[90]][[92]]\n", + "[1] 4.820277\n", + "\n", + "$MSE_list[[90]][[93]]\n", + "[1] 8.415288\n", + "\n", + "$MSE_list[[90]][[94]]\n", + "[1] 2.039665\n", + "\n", + "$MSE_list[[90]][[95]]\n", + "[1] 4.229305\n", + "\n", + "$MSE_list[[90]][[96]]\n", + "[1] 9.139497\n", + "\n", + "$MSE_list[[90]][[97]]\n", + "[1] 4.876367\n", + "\n", + "$MSE_list[[90]][[98]]\n", + "[1] 3.838351\n", + "\n", + "$MSE_list[[90]][[99]]\n", + "[1] 5.360056\n", + "\n", + "$MSE_list[[90]][[100]]\n", + "[1] 1.50609\n", + "\n", + "\n", + "$MSE_list[[91]]\n", + "$MSE_list[[91]][[1]]\n", + "[1] 5.856777\n", + "\n", + "$MSE_list[[91]][[2]]\n", + "[1] 4.12883\n", + "\n", + "$MSE_list[[91]][[3]]\n", + "[1] 3.240455\n", + "\n", + "$MSE_list[[91]][[4]]\n", + "[1] 5.262777\n", + "\n", + "$MSE_list[[91]][[5]]\n", + "[1] 6.764361\n", + "\n", + "$MSE_list[[91]][[6]]\n", + "[1] 5.612745\n", + "\n", + "$MSE_list[[91]][[7]]\n", + "[1] 1.753867\n", + "\n", + "$MSE_list[[91]][[8]]\n", + "[1] 5.227012\n", + "\n", + "$MSE_list[[91]][[9]]\n", + "[1] 4.80329\n", + "\n", + "$MSE_list[[91]][[10]]\n", + "[1] 2.801885\n", + "\n", + "$MSE_list[[91]][[11]]\n", + "[1] 5.98398\n", + "\n", + "$MSE_list[[91]][[12]]\n", + "[1] 4.462989\n", + "\n", + "$MSE_list[[91]][[13]]\n", + "[1] 5.711714\n", + "\n", + "$MSE_list[[91]][[14]]\n", + "[1] 4.907704\n", + "\n", + "$MSE_list[[91]][[15]]\n", + "[1] 5.814434\n", + "\n", + "$MSE_list[[91]][[16]]\n", + "[1] 2.931228\n", + "\n", + "$MSE_list[[91]][[17]]\n", + "[1] 2.517989\n", + "\n", + "$MSE_list[[91]][[18]]\n", + "[1] 1.109375\n", + "\n", + "$MSE_list[[91]][[19]]\n", + "[1] 1.204358\n", + "\n", + "$MSE_list[[91]][[20]]\n", + "[1] 0.8912774\n", + "\n", + "$MSE_list[[91]][[21]]\n", + "[1] 2.11113\n", + "\n", + "$MSE_list[[91]][[22]]\n", + "[1] 4.670424\n", + "\n", + "$MSE_list[[91]][[23]]\n", + "[1] 4.545741\n", + "\n", + "$MSE_list[[91]][[24]]\n", + "[1] 3.775802\n", + "\n", + "$MSE_list[[91]][[25]]\n", + "[1] 4.606392\n", + "\n", + "$MSE_list[[91]][[26]]\n", + "[1] 2.331094\n", + "\n", + "$MSE_list[[91]][[27]]\n", + "[1] 2.637188\n", + "\n", + "$MSE_list[[91]][[28]]\n", + "[1] 1.300094\n", + "\n", + "$MSE_list[[91]][[29]]\n", + "[1] 4.090886\n", + "\n", + "$MSE_list[[91]][[30]]\n", + "[1] 8.241948\n", + "\n", + "$MSE_list[[91]][[31]]\n", + "[1] 4.97418\n", + "\n", + "$MSE_list[[91]][[32]]\n", + "[1] 5.840726\n", + "\n", + "$MSE_list[[91]][[33]]\n", + "[1] 5.424787\n", + "\n", + "$MSE_list[[91]][[34]]\n", + "[1] 2.151836\n", + "\n", + "$MSE_list[[91]][[35]]\n", + "[1] 3.022214\n", + "\n", + "$MSE_list[[91]][[36]]\n", + "[1] 2.983849\n", + "\n", + "$MSE_list[[91]][[37]]\n", + "[1] 5.79212\n", + "\n", + "$MSE_list[[91]][[38]]\n", + "[1] 10.39468\n", + "\n", + "$MSE_list[[91]][[39]]\n", + "[1] 6.712501\n", + "\n", + "$MSE_list[[91]][[40]]\n", + "[1] 1.216733\n", + "\n", + "$MSE_list[[91]][[41]]\n", + "[1] 4.607027\n", + "\n", + "$MSE_list[[91]][[42]]\n", + "[1] 3.175342\n", + "\n", + "$MSE_list[[91]][[43]]\n", + "[1] 3.387705\n", + "\n", + "$MSE_list[[91]][[44]]\n", + "[1] 0.9413439\n", + "\n", + "$MSE_list[[91]][[45]]\n", + "[1] 3.607384\n", + "\n", + "$MSE_list[[91]][[46]]\n", + "[1] 3.942229\n", + "\n", + "$MSE_list[[91]][[47]]\n", + "[1] 3.917863\n", + "\n", + "$MSE_list[[91]][[48]]\n", + "[1] 6.478221\n", + "\n", + "$MSE_list[[91]][[49]]\n", + "[1] 3.891865\n", + "\n", + "$MSE_list[[91]][[50]]\n", + "[1] 3.293722\n", + "\n", + "$MSE_list[[91]][[51]]\n", + "[1] 6.239794\n", + "\n", + "$MSE_list[[91]][[52]]\n", + "[1] 3.987381\n", + "\n", + "$MSE_list[[91]][[53]]\n", + "[1] 9.550468\n", + "\n", + "$MSE_list[[91]][[54]]\n", + "[1] 5.146026\n", + "\n", + "$MSE_list[[91]][[55]]\n", + "[1] 4.296623\n", + "\n", + "$MSE_list[[91]][[56]]\n", + "[1] 5.41265\n", + "\n", + "$MSE_list[[91]][[57]]\n", + "[1] 4.349656\n", + "\n", + "$MSE_list[[91]][[58]]\n", + "[1] 3.627372\n", + "\n", + "$MSE_list[[91]][[59]]\n", + "[1] 1.919026\n", + "\n", + "$MSE_list[[91]][[60]]\n", + "[1] 1.057248\n", + "\n", + "$MSE_list[[91]][[61]]\n", + "[1] 3.811102\n", + "\n", + "$MSE_list[[91]][[62]]\n", + "[1] 3.253552\n", + "\n", + "$MSE_list[[91]][[63]]\n", + "[1] 5.252426\n", + "\n", + "$MSE_list[[91]][[64]]\n", + "[1] 4.453645\n", + "\n", + "$MSE_list[[91]][[65]]\n", + "[1] 4.426172\n", + "\n", + "$MSE_list[[91]][[66]]\n", + "[1] 3.268815\n", + "\n", + "$MSE_list[[91]][[67]]\n", + "[1] 3.318259\n", + "\n", + "$MSE_list[[91]][[68]]\n", + "[1] 3.321924\n", + "\n", + "$MSE_list[[91]][[69]]\n", + "[1] 3.565748\n", + "\n", + "$MSE_list[[91]][[70]]\n", + "[1] 4.868146\n", + "\n", + "$MSE_list[[91]][[71]]\n", + "[1] 4.276838\n", + "\n", + "$MSE_list[[91]][[72]]\n", + "[1] 4.972116\n", + "\n", + "$MSE_list[[91]][[73]]\n", + "[1] 4.185914\n", + "\n", + "$MSE_list[[91]][[74]]\n", + "[1] 1.474576\n", + "\n", + "$MSE_list[[91]][[75]]\n", + "[1] 2.539662\n", + "\n", + "$MSE_list[[91]][[76]]\n", + "[1] 1.550732\n", + "\n", + "$MSE_list[[91]][[77]]\n", + "[1] 3.4052\n", + "\n", + "$MSE_list[[91]][[78]]\n", + "[1] 4.747289\n", + "\n", + "$MSE_list[[91]][[79]]\n", + "[1] 4.373474\n", + "\n", + "$MSE_list[[91]][[80]]\n", + "[1] 3.44084\n", + "\n", + "$MSE_list[[91]][[81]]\n", + "[1] 3.972943\n", + "\n", + "$MSE_list[[91]][[82]]\n", + "[1] 1.111344\n", + "\n", + "$MSE_list[[91]][[83]]\n", + "[1] 4.754664\n", + "\n", + "$MSE_list[[91]][[84]]\n", + "[1] 1.038743\n", + "\n", + "$MSE_list[[91]][[85]]\n", + "[1] 5.719466\n", + "\n", + "$MSE_list[[91]][[86]]\n", + "[1] 2.814269\n", + "\n", + "$MSE_list[[91]][[87]]\n", + "[1] 4.286571\n", + "\n", + "$MSE_list[[91]][[88]]\n", + "[1] 4.635381\n", + "\n", + "$MSE_list[[91]][[89]]\n", + "[1] 2.990114\n", + "\n", + "$MSE_list[[91]][[90]]\n", + "[1] 6.606933\n", + "\n", + "$MSE_list[[91]][[91]]\n", + "[1] 6.17207\n", + "\n", + "$MSE_list[[91]][[92]]\n", + "[1] 4.507992\n", + "\n", + "$MSE_list[[91]][[93]]\n", + "[1] 3.884485\n", + "\n", + "$MSE_list[[91]][[94]]\n", + "[1] 4.125495\n", + "\n", + "$MSE_list[[91]][[95]]\n", + "[1] 2.508655\n", + "\n", + "$MSE_list[[91]][[96]]\n", + "[1] 2.916297\n", + "\n", + "$MSE_list[[91]][[97]]\n", + "[1] 1.420857\n", + "\n", + "$MSE_list[[91]][[98]]\n", + "[1] 0.990366\n", + "\n", + "$MSE_list[[91]][[99]]\n", + "[1] 4.508608\n", + "\n", + "$MSE_list[[91]][[100]]\n", + "[1] 2.501005\n", + "\n", + "\n", + "$MSE_list[[92]]\n", + "$MSE_list[[92]][[1]]\n", + "[1] 5.279604\n", + "\n", + "$MSE_list[[92]][[2]]\n", + "[1] 4.863942\n", + "\n", + "$MSE_list[[92]][[3]]\n", + "[1] 1.344606\n", + "\n", + "$MSE_list[[92]][[4]]\n", + "[1] 9.242627\n", + "\n", + "$MSE_list[[92]][[5]]\n", + "[1] 1.3987\n", + "\n", + "$MSE_list[[92]][[6]]\n", + "[1] 9.434148\n", + "\n", + "$MSE_list[[92]][[7]]\n", + "[1] 3.576538\n", + "\n", + "$MSE_list[[92]][[8]]\n", + "[1] 5.440928\n", + "\n", + "$MSE_list[[92]][[9]]\n", + "[1] 8.026524\n", + "\n", + "$MSE_list[[92]][[10]]\n", + "[1] 3.862007\n", + "\n", + "$MSE_list[[92]][[11]]\n", + "[1] 1.081011\n", + "\n", + "$MSE_list[[92]][[12]]\n", + "[1] 4.285503\n", + "\n", + "$MSE_list[[92]][[13]]\n", + "[1] 4.457997\n", + "\n", + "$MSE_list[[92]][[14]]\n", + "[1] 6.264617\n", + "\n", + "$MSE_list[[92]][[15]]\n", + "[1] 4.410277\n", + "\n", + "$MSE_list[[92]][[16]]\n", + "[1] 3.049675\n", + "\n", + "$MSE_list[[92]][[17]]\n", + "[1] 4.947518\n", + "\n", + "$MSE_list[[92]][[18]]\n", + "[1] 3.798954\n", + "\n", + "$MSE_list[[92]][[19]]\n", + "[1] 7.840044\n", + "\n", + "$MSE_list[[92]][[20]]\n", + "[1] 3.5356\n", + "\n", + "$MSE_list[[92]][[21]]\n", + "[1] 9.463784\n", + "\n", + "$MSE_list[[92]][[22]]\n", + "[1] 11.99017\n", + "\n", + "$MSE_list[[92]][[23]]\n", + "[1] 7.976608\n", + "\n", + "$MSE_list[[92]][[24]]\n", + "[1] 1.476681\n", + "\n", + "$MSE_list[[92]][[25]]\n", + "[1] 4.957719\n", + "\n", + "$MSE_list[[92]][[26]]\n", + "[1] 8.48109\n", + "\n", + "$MSE_list[[92]][[27]]\n", + "[1] 4.305183\n", + "\n", + "$MSE_list[[92]][[28]]\n", + "[1] 5.116457\n", + "\n", + "$MSE_list[[92]][[29]]\n", + "[1] 3.181042\n", + "\n", + "$MSE_list[[92]][[30]]\n", + "[1] 2.351974\n", + "\n", + "$MSE_list[[92]][[31]]\n", + "[1] 8.095292\n", + "\n", + "$MSE_list[[92]][[32]]\n", + "[1] 1.523456\n", + "\n", + "$MSE_list[[92]][[33]]\n", + "[1] 6.597401\n", + "\n", + "$MSE_list[[92]][[34]]\n", + "[1] 9.442533\n", + "\n", + "$MSE_list[[92]][[35]]\n", + "[1] 5.294723\n", + "\n", + "$MSE_list[[92]][[36]]\n", + "[1] 4.500495\n", + "\n", + "$MSE_list[[92]][[37]]\n", + "[1] 3.615506\n", + "\n", + "$MSE_list[[92]][[38]]\n", + "[1] 4.07456\n", + "\n", + "$MSE_list[[92]][[39]]\n", + "[1] 3.364967\n", + "\n", + "$MSE_list[[92]][[40]]\n", + "[1] 1.517646\n", + "\n", + "$MSE_list[[92]][[41]]\n", + "[1] 1.895261\n", + "\n", + "$MSE_list[[92]][[42]]\n", + "[1] 3.258622\n", + "\n", + "$MSE_list[[92]][[43]]\n", + "[1] 6.9662\n", + "\n", + "$MSE_list[[92]][[44]]\n", + "[1] 6.272535\n", + "\n", + "$MSE_list[[92]][[45]]\n", + "[1] 5.16588\n", + "\n", + "$MSE_list[[92]][[46]]\n", + "[1] 3.7532\n", + "\n", + "$MSE_list[[92]][[47]]\n", + "[1] 6.219063\n", + "\n", + "$MSE_list[[92]][[48]]\n", + "[1] 3.696925\n", + "\n", + "$MSE_list[[92]][[49]]\n", + "[1] 5.573405\n", + "\n", + "$MSE_list[[92]][[50]]\n", + "[1] 3.319419\n", + "\n", + "$MSE_list[[92]][[51]]\n", + "[1] 3.632484\n", + "\n", + "$MSE_list[[92]][[52]]\n", + "[1] 2.487597\n", + "\n", + "$MSE_list[[92]][[53]]\n", + "[1] 6.173642\n", + "\n", + "$MSE_list[[92]][[54]]\n", + "[1] 4.297917\n", + "\n", + "$MSE_list[[92]][[55]]\n", + "[1] 8.231311\n", + "\n", + "$MSE_list[[92]][[56]]\n", + "[1] 3.351945\n", + "\n", + "$MSE_list[[92]][[57]]\n", + "[1] 2.335777\n", + "\n", + "$MSE_list[[92]][[58]]\n", + "[1] 2.07549\n", + "\n", + "$MSE_list[[92]][[59]]\n", + "[1] 3.509488\n", + "\n", + "$MSE_list[[92]][[60]]\n", + "[1] 4.241215\n", + "\n", + "$MSE_list[[92]][[61]]\n", + "[1] 2.266506\n", + "\n", + "$MSE_list[[92]][[62]]\n", + "[1] 4.146096\n", + "\n", + "$MSE_list[[92]][[63]]\n", + "[1] 4.896468\n", + "\n", + "$MSE_list[[92]][[64]]\n", + "[1] 5.020918\n", + "\n", + "$MSE_list[[92]][[65]]\n", + "[1] 1.887679\n", + "\n", + "$MSE_list[[92]][[66]]\n", + "[1] 2.896254\n", + "\n", + "$MSE_list[[92]][[67]]\n", + "[1] 10.81178\n", + "\n", + "$MSE_list[[92]][[68]]\n", + "[1] 4.649704\n", + "\n", + "$MSE_list[[92]][[69]]\n", + "[1] 5.149246\n", + "\n", + "$MSE_list[[92]][[70]]\n", + "[1] 4.736332\n", + "\n", + "$MSE_list[[92]][[71]]\n", + "[1] 4.629933\n", + "\n", + "$MSE_list[[92]][[72]]\n", + "[1] 2.469303\n", + "\n", + "$MSE_list[[92]][[73]]\n", + "[1] 3.412159\n", + "\n", + "$MSE_list[[92]][[74]]\n", + "[1] 5.180306\n", + "\n", + "$MSE_list[[92]][[75]]\n", + "[1] 4.625458\n", + "\n", + "$MSE_list[[92]][[76]]\n", + "[1] 5.235239\n", + "\n", + "$MSE_list[[92]][[77]]\n", + "[1] 5.613296\n", + "\n", + "$MSE_list[[92]][[78]]\n", + "[1] 3.61815\n", + "\n", + "$MSE_list[[92]][[79]]\n", + "[1] 11.29275\n", + "\n", + "$MSE_list[[92]][[80]]\n", + "[1] 1.572941\n", + "\n", + "$MSE_list[[92]][[81]]\n", + "[1] 2.746522\n", + "\n", + "$MSE_list[[92]][[82]]\n", + "[1] 4.639774\n", + "\n", + "$MSE_list[[92]][[83]]\n", + "[1] 4.37011\n", + "\n", + "$MSE_list[[92]][[84]]\n", + "[1] 2.987541\n", + "\n", + "$MSE_list[[92]][[85]]\n", + "[1] 1.927633\n", + "\n", + "$MSE_list[[92]][[86]]\n", + "[1] 2.209874\n", + "\n", + "$MSE_list[[92]][[87]]\n", + "[1] 7.482811\n", + "\n", + "$MSE_list[[92]][[88]]\n", + "[1] 8.813766\n", + "\n", + "$MSE_list[[92]][[89]]\n", + "[1] 8.723764\n", + "\n", + "$MSE_list[[92]][[90]]\n", + "[1] 4.368911\n", + "\n", + "$MSE_list[[92]][[91]]\n", + "[1] 9.557429\n", + "\n", + "$MSE_list[[92]][[92]]\n", + "[1] 1.296288\n", + "\n", + "$MSE_list[[92]][[93]]\n", + "[1] 6.85425\n", + "\n", + "$MSE_list[[92]][[94]]\n", + "[1] 2.489283\n", + "\n", + "$MSE_list[[92]][[95]]\n", + "[1] 2.432058\n", + "\n", + "$MSE_list[[92]][[96]]\n", + "[1] 1.51233\n", + "\n", + "$MSE_list[[92]][[97]]\n", + "[1] 4.372944\n", + "\n", + "$MSE_list[[92]][[98]]\n", + "[1] 6.867286\n", + "\n", + "$MSE_list[[92]][[99]]\n", + "[1] 7.570809\n", + "\n", + "$MSE_list[[92]][[100]]\n", + "[1] 5.831938\n", + "\n", + "\n", + "$MSE_list[[93]]\n", + "$MSE_list[[93]][[1]]\n", + "[1] 7.054458\n", + "\n", + "$MSE_list[[93]][[2]]\n", + "[1] 2.114407\n", + "\n", + "$MSE_list[[93]][[3]]\n", + "[1] 4.333118\n", + "\n", + "$MSE_list[[93]][[4]]\n", + "[1] 10.60032\n", + "\n", + "$MSE_list[[93]][[5]]\n", + "[1] 6.197857\n", + "\n", + "$MSE_list[[93]][[6]]\n", + "[1] 1.317295\n", + "\n", + "$MSE_list[[93]][[7]]\n", + "[1] 0.4751208\n", + "\n", + "$MSE_list[[93]][[8]]\n", + "[1] 6.40247\n", + "\n", + "$MSE_list[[93]][[9]]\n", + "[1] 2.186554\n", + "\n", + "$MSE_list[[93]][[10]]\n", + "[1] 3.489153\n", + "\n", + "$MSE_list[[93]][[11]]\n", + "[1] 1.25517\n", + "\n", + "$MSE_list[[93]][[12]]\n", + "[1] 2.488723\n", + "\n", + "$MSE_list[[93]][[13]]\n", + "[1] 2.466067\n", + "\n", + "$MSE_list[[93]][[14]]\n", + "[1] 2.021219\n", + "\n", + "$MSE_list[[93]][[15]]\n", + "[1] 2.324814\n", + "\n", + "$MSE_list[[93]][[16]]\n", + "[1] 1.835592\n", + "\n", + "$MSE_list[[93]][[17]]\n", + "[1] 5.332428\n", + "\n", + "$MSE_list[[93]][[18]]\n", + "[1] 6.024562\n", + "\n", + "$MSE_list[[93]][[19]]\n", + "[1] 3.781492\n", + "\n", + "$MSE_list[[93]][[20]]\n", + "[1] 5.090977\n", + "\n", + "$MSE_list[[93]][[21]]\n", + "[1] 3.533761\n", + "\n", + "$MSE_list[[93]][[22]]\n", + "[1] 6.250283\n", + "\n", + "$MSE_list[[93]][[23]]\n", + "[1] 2.389265\n", + "\n", + "$MSE_list[[93]][[24]]\n", + "[1] 3.12595\n", + "\n", + "$MSE_list[[93]][[25]]\n", + "[1] 2.361386\n", + "\n", + "$MSE_list[[93]][[26]]\n", + "[1] 2.147808\n", + "\n", + "$MSE_list[[93]][[27]]\n", + "[1] 1.596472\n", + "\n", + "$MSE_list[[93]][[28]]\n", + "[1] 1.236547\n", + "\n", + "$MSE_list[[93]][[29]]\n", + "[1] 3.151974\n", + "\n", + "$MSE_list[[93]][[30]]\n", + "[1] 9.422477\n", + "\n", + "$MSE_list[[93]][[31]]\n", + "[1] 1.185629\n", + "\n", + "$MSE_list[[93]][[32]]\n", + "[1] 7.002285\n", + "\n", + "$MSE_list[[93]][[33]]\n", + "[1] 0.741609\n", + "\n", + "$MSE_list[[93]][[34]]\n", + "[1] 4.030042\n", + "\n", + "$MSE_list[[93]][[35]]\n", + "[1] 5.639352\n", + "\n", + "$MSE_list[[93]][[36]]\n", + "[1] 3.837287\n", + "\n", + "$MSE_list[[93]][[37]]\n", + "[1] 5.48917\n", + "\n", + "$MSE_list[[93]][[38]]\n", + "[1] 1.282591\n", + "\n", + "$MSE_list[[93]][[39]]\n", + "[1] 2.851691\n", + "\n", + "$MSE_list[[93]][[40]]\n", + "[1] 7.602513\n", + "\n", + "$MSE_list[[93]][[41]]\n", + "[1] 3.880095\n", + "\n", + "$MSE_list[[93]][[42]]\n", + "[1] 11.36672\n", + "\n", + "$MSE_list[[93]][[43]]\n", + "[1] 10.70384\n", + "\n", + "$MSE_list[[93]][[44]]\n", + "[1] 6.301026\n", + "\n", + "$MSE_list[[93]][[45]]\n", + "[1] 5.856836\n", + "\n", + "$MSE_list[[93]][[46]]\n", + "[1] 5.613933\n", + "\n", + "$MSE_list[[93]][[47]]\n", + "[1] 5.514019\n", + "\n", + "$MSE_list[[93]][[48]]\n", + "[1] 6.044303\n", + "\n", + "$MSE_list[[93]][[49]]\n", + "[1] 4.064932\n", + "\n", + "$MSE_list[[93]][[50]]\n", + "[1] 6.819428\n", + "\n", + "$MSE_list[[93]][[51]]\n", + "[1] 4.684805\n", + "\n", + "$MSE_list[[93]][[52]]\n", + "[1] 5.007754\n", + "\n", + "$MSE_list[[93]][[53]]\n", + "[1] 2.223393\n", + "\n", + "$MSE_list[[93]][[54]]\n", + "[1] 6.242305\n", + "\n", + "$MSE_list[[93]][[55]]\n", + "[1] 7.647326\n", + "\n", + "$MSE_list[[93]][[56]]\n", + "[1] 5.995678\n", + "\n", + "$MSE_list[[93]][[57]]\n", + "[1] 2.530968\n", + "\n", + "$MSE_list[[93]][[58]]\n", + "[1] 5.338141\n", + "\n", + "$MSE_list[[93]][[59]]\n", + "[1] 6.553389\n", + "\n", + "$MSE_list[[93]][[60]]\n", + "[1] 1.851719\n", + "\n", + "$MSE_list[[93]][[61]]\n", + "[1] 2.595944\n", + "\n", + "$MSE_list[[93]][[62]]\n", + "[1] 1.420406\n", + "\n", + "$MSE_list[[93]][[63]]\n", + "[1] 4.646662\n", + "\n", + "$MSE_list[[93]][[64]]\n", + "[1] 8.354386\n", + "\n", + "$MSE_list[[93]][[65]]\n", + "[1] 8.302499\n", + "\n", + "$MSE_list[[93]][[66]]\n", + "[1] 4.197112\n", + "\n", + "$MSE_list[[93]][[67]]\n", + "[1] 6.903999\n", + "\n", + "$MSE_list[[93]][[68]]\n", + "[1] 1.834257\n", + "\n", + "$MSE_list[[93]][[69]]\n", + "[1] 4.398133\n", + "\n", + "$MSE_list[[93]][[70]]\n", + "[1] 4.370718\n", + "\n", + "$MSE_list[[93]][[71]]\n", + "[1] 9.858338\n", + "\n", + "$MSE_list[[93]][[72]]\n", + "[1] 7.322458\n", + "\n", + "$MSE_list[[93]][[73]]\n", + "[1] 1.992768\n", + "\n", + "$MSE_list[[93]][[74]]\n", + "[1] 5.249768\n", + "\n", + "$MSE_list[[93]][[75]]\n", + "[1] 3.461835\n", + "\n", + "$MSE_list[[93]][[76]]\n", + "[1] 1.74265\n", + "\n", + "$MSE_list[[93]][[77]]\n", + "[1] 2.857371\n", + "\n", + "$MSE_list[[93]][[78]]\n", + "[1] 2.420301\n", + "\n", + "$MSE_list[[93]][[79]]\n", + "[1] 2.179484\n", + "\n", + "$MSE_list[[93]][[80]]\n", + "[1] 2.98915\n", + "\n", + "$MSE_list[[93]][[81]]\n", + "[1] 2.642128\n", + "\n", + "$MSE_list[[93]][[82]]\n", + "[1] 5.438103\n", + "\n", + "$MSE_list[[93]][[83]]\n", + "[1] 1.870344\n", + "\n", + "$MSE_list[[93]][[84]]\n", + "[1] 3.054115\n", + "\n", + "$MSE_list[[93]][[85]]\n", + "[1] 6.123457\n", + "\n", + "$MSE_list[[93]][[86]]\n", + "[1] 1.525771\n", + "\n", + "$MSE_list[[93]][[87]]\n", + "[1] 5.011087\n", + "\n", + "$MSE_list[[93]][[88]]\n", + "[1] 4.960837\n", + "\n", + "$MSE_list[[93]][[89]]\n", + "[1] 3.760056\n", + "\n", + "$MSE_list[[93]][[90]]\n", + "[1] 1.410665\n", + "\n", + "$MSE_list[[93]][[91]]\n", + "[1] 5.671688\n", + "\n", + "$MSE_list[[93]][[92]]\n", + "[1] 1.263767\n", + "\n", + "$MSE_list[[93]][[93]]\n", + "[1] 2.315935\n", + "\n", + "$MSE_list[[93]][[94]]\n", + "[1] 7.028865\n", + "\n", + "$MSE_list[[93]][[95]]\n", + "[1] 2.493694\n", + "\n", + "$MSE_list[[93]][[96]]\n", + "[1] 2.020392\n", + "\n", + "$MSE_list[[93]][[97]]\n", + "[1] 1.683246\n", + "\n", + "$MSE_list[[93]][[98]]\n", + "[1] 4.444512\n", + "\n", + "$MSE_list[[93]][[99]]\n", + "[1] 2.262363\n", + "\n", + "$MSE_list[[93]][[100]]\n", + "[1] 5.715915\n", + "\n", + "\n", + "$MSE_list[[94]]\n", + "$MSE_list[[94]][[1]]\n", + "[1] 0.9983392\n", + "\n", + "$MSE_list[[94]][[2]]\n", + "[1] 3.595046\n", + "\n", + "$MSE_list[[94]][[3]]\n", + "[1] 5.182308\n", + "\n", + "$MSE_list[[94]][[4]]\n", + "[1] 0.7277674\n", + "\n", + "$MSE_list[[94]][[5]]\n", + "[1] 1.783382\n", + "\n", + "$MSE_list[[94]][[6]]\n", + "[1] 3.296226\n", + "\n", + "$MSE_list[[94]][[7]]\n", + "[1] 2.310231\n", + "\n", + "$MSE_list[[94]][[8]]\n", + "[1] 1.294564\n", + "\n", + "$MSE_list[[94]][[9]]\n", + "[1] 1.618655\n", + "\n", + "$MSE_list[[94]][[10]]\n", + "[1] 4.134712\n", + "\n", + "$MSE_list[[94]][[11]]\n", + "[1] 2.11926\n", + "\n", + "$MSE_list[[94]][[12]]\n", + "[1] 1.100376\n", + "\n", + "$MSE_list[[94]][[13]]\n", + "[1] 2.780603\n", + "\n", + "$MSE_list[[94]][[14]]\n", + "[1] 4.555871\n", + "\n", + "$MSE_list[[94]][[15]]\n", + "[1] 5.785584\n", + "\n", + "$MSE_list[[94]][[16]]\n", + "[1] 1.134583\n", + "\n", + "$MSE_list[[94]][[17]]\n", + "[1] 1.759969\n", + "\n", + "$MSE_list[[94]][[18]]\n", + "[1] 5.36645\n", + "\n", + "$MSE_list[[94]][[19]]\n", + "[1] 0.998175\n", + "\n", + "$MSE_list[[94]][[20]]\n", + "[1] 2.293476\n", + "\n", + "$MSE_list[[94]][[21]]\n", + "[1] 2.602644\n", + "\n", + "$MSE_list[[94]][[22]]\n", + "[1] 2.639714\n", + "\n", + "$MSE_list[[94]][[23]]\n", + "[1] 2.424547\n", + "\n", + "$MSE_list[[94]][[24]]\n", + "[1] 5.150456\n", + "\n", + "$MSE_list[[94]][[25]]\n", + "[1] 1.511137\n", + "\n", + "$MSE_list[[94]][[26]]\n", + "[1] 1.267307\n", + "\n", + "$MSE_list[[94]][[27]]\n", + "[1] 3.285436\n", + "\n", + "$MSE_list[[94]][[28]]\n", + "[1] 1.622244\n", + "\n", + "$MSE_list[[94]][[29]]\n", + "[1] 2.091167\n", + "\n", + "$MSE_list[[94]][[30]]\n", + "[1] 2.12202\n", + "\n", + "$MSE_list[[94]][[31]]\n", + "[1] 1.028582\n", + "\n", + "$MSE_list[[94]][[32]]\n", + "[1] 1.815747\n", + "\n", + "$MSE_list[[94]][[33]]\n", + "[1] 1.159094\n", + "\n", + "$MSE_list[[94]][[34]]\n", + "[1] 4.162159\n", + "\n", + "$MSE_list[[94]][[35]]\n", + "[1] 1.097143\n", + "\n", + "$MSE_list[[94]][[36]]\n", + "[1] 5.724192\n", + "\n", + "$MSE_list[[94]][[37]]\n", + "[1] 5.904596\n", + "\n", + "$MSE_list[[94]][[38]]\n", + "[1] 1.122616\n", + "\n", + "$MSE_list[[94]][[39]]\n", + "[1] 2.976648\n", + "\n", + "$MSE_list[[94]][[40]]\n", + "[1] 2.204161\n", + "\n", + "$MSE_list[[94]][[41]]\n", + "[1] 3.882769\n", + "\n", + "$MSE_list[[94]][[42]]\n", + "[1] 2.198179\n", + "\n", + "$MSE_list[[94]][[43]]\n", + "[1] 1.066378\n", + "\n", + "$MSE_list[[94]][[44]]\n", + "[1] 2.125943\n", + "\n", + "$MSE_list[[94]][[45]]\n", + "[1] 1.843237\n", + "\n", + "$MSE_list[[94]][[46]]\n", + "[1] 4.297167\n", + "\n", + "$MSE_list[[94]][[47]]\n", + "[1] 1.676881\n", + "\n", + "$MSE_list[[94]][[48]]\n", + "[1] 7.069444\n", + "\n", + "$MSE_list[[94]][[49]]\n", + "[1] 2.670166\n", + "\n", + "$MSE_list[[94]][[50]]\n", + "[1] 1.727019\n", + "\n", + "$MSE_list[[94]][[51]]\n", + "[1] 2.027074\n", + "\n", + "$MSE_list[[94]][[52]]\n", + "[1] 0.7181991\n", + "\n", + "$MSE_list[[94]][[53]]\n", + "[1] 3.433396\n", + "\n", + "$MSE_list[[94]][[54]]\n", + "[1] 1.648379\n", + "\n", + "$MSE_list[[94]][[55]]\n", + "[1] 3.108064\n", + "\n", + "$MSE_list[[94]][[56]]\n", + "[1] 1.129924\n", + "\n", + "$MSE_list[[94]][[57]]\n", + "[1] 1.979053\n", + "\n", + "$MSE_list[[94]][[58]]\n", + "[1] 5.789022\n", + "\n", + "$MSE_list[[94]][[59]]\n", + "[1] 2.985292\n", + "\n", + "$MSE_list[[94]][[60]]\n", + "[1] 1.237775\n", + "\n", + "$MSE_list[[94]][[61]]\n", + "[1] 6.055541\n", + "\n", + "$MSE_list[[94]][[62]]\n", + "[1] 2.518892\n", + "\n", + "$MSE_list[[94]][[63]]\n", + "[1] 1.851724\n", + "\n", + "$MSE_list[[94]][[64]]\n", + "[1] 1.659321\n", + "\n", + "$MSE_list[[94]][[65]]\n", + "[1] 1.303756\n", + "\n", + "$MSE_list[[94]][[66]]\n", + "[1] 0.9569876\n", + "\n", + "$MSE_list[[94]][[67]]\n", + "[1] 3.846851\n", + "\n", + "$MSE_list[[94]][[68]]\n", + "[1] 0.9657489\n", + "\n", + "$MSE_list[[94]][[69]]\n", + "[1] 9.067563\n", + "\n", + "$MSE_list[[94]][[70]]\n", + "[1] 7.084956\n", + "\n", + "$MSE_list[[94]][[71]]\n", + "[1] 2.398874\n", + "\n", + "$MSE_list[[94]][[72]]\n", + "[1] 1.682748\n", + "\n", + "$MSE_list[[94]][[73]]\n", + "[1] 4.277797\n", + "\n", + "$MSE_list[[94]][[74]]\n", + "[1] 5.382956\n", + "\n", + "$MSE_list[[94]][[75]]\n", + "[1] 3.128243\n", + "\n", + "$MSE_list[[94]][[76]]\n", + "[1] 6.573475\n", + "\n", + "$MSE_list[[94]][[77]]\n", + "[1] 0.8975017\n", + "\n", + "$MSE_list[[94]][[78]]\n", + "[1] 5.232007\n", + "\n", + "$MSE_list[[94]][[79]]\n", + "[1] 1.669975\n", + "\n", + "$MSE_list[[94]][[80]]\n", + "[1] 3.140434\n", + "\n", + "$MSE_list[[94]][[81]]\n", + "[1] 2.012604\n", + "\n", + "$MSE_list[[94]][[82]]\n", + "[1] 2.386882\n", + "\n", + "$MSE_list[[94]][[83]]\n", + "[1] 2.955609\n", + "\n", + "$MSE_list[[94]][[84]]\n", + "[1] 1.579093\n", + "\n", + "$MSE_list[[94]][[85]]\n", + "[1] 1.250688\n", + "\n", + "$MSE_list[[94]][[86]]\n", + "[1] 2.548889\n", + "\n", + "$MSE_list[[94]][[87]]\n", + "[1] 1.371958\n", + "\n", + "$MSE_list[[94]][[88]]\n", + "[1] 1.211271\n", + "\n", + "$MSE_list[[94]][[89]]\n", + "[1] 1.669683\n", + "\n", + "$MSE_list[[94]][[90]]\n", + "[1] 1.11519\n", + "\n", + "$MSE_list[[94]][[91]]\n", + "[1] 3.232207\n", + "\n", + "$MSE_list[[94]][[92]]\n", + "[1] 1.061336\n", + "\n", + "$MSE_list[[94]][[93]]\n", + "[1] 1.252113\n", + "\n", + "$MSE_list[[94]][[94]]\n", + "[1] 1.834755\n", + "\n", + "$MSE_list[[94]][[95]]\n", + "[1] 1.121377\n", + "\n", + "$MSE_list[[94]][[96]]\n", + "[1] 2.926902\n", + "\n", + "$MSE_list[[94]][[97]]\n", + "[1] 2.861233\n", + "\n", + "$MSE_list[[94]][[98]]\n", + "[1] 1.241961\n", + "\n", + "$MSE_list[[94]][[99]]\n", + "[1] 1.540643\n", + "\n", + "$MSE_list[[94]][[100]]\n", + "[1] 0.7622682\n", + "\n", + "\n", + "$MSE_list[[95]]\n", + "$MSE_list[[95]][[1]]\n", + "[1] 1.436439\n", + "\n", + "$MSE_list[[95]][[2]]\n", + "[1] 1.548675\n", + "\n", + "$MSE_list[[95]][[3]]\n", + "[1] 3.876219\n", + "\n", + "$MSE_list[[95]][[4]]\n", + "[1] 1.947269\n", + "\n", + "$MSE_list[[95]][[5]]\n", + "[1] 2.574234\n", + "\n", + "$MSE_list[[95]][[6]]\n", + "[1] 5.217182\n", + "\n", + "$MSE_list[[95]][[7]]\n", + "[1] 3.520813\n", + "\n", + "$MSE_list[[95]][[8]]\n", + "[1] 6.023989\n", + "\n", + "$MSE_list[[95]][[9]]\n", + "[1] 4.511028\n", + "\n", + "$MSE_list[[95]][[10]]\n", + "[1] 2.659818\n", + "\n", + "$MSE_list[[95]][[11]]\n", + "[1] 1.462751\n", + "\n", + "$MSE_list[[95]][[12]]\n", + "[1] 5.752905\n", + "\n", + "$MSE_list[[95]][[13]]\n", + "[1] 3.985506\n", + "\n", + "$MSE_list[[95]][[14]]\n", + "[1] 4.123214\n", + "\n", + "$MSE_list[[95]][[15]]\n", + "[1] 1.328024\n", + "\n", + "$MSE_list[[95]][[16]]\n", + "[1] 2.940621\n", + "\n", + "$MSE_list[[95]][[17]]\n", + "[1] 3.667064\n", + "\n", + "$MSE_list[[95]][[18]]\n", + "[1] 1.555198\n", + "\n", + "$MSE_list[[95]][[19]]\n", + "[1] 1.896131\n", + "\n", + "$MSE_list[[95]][[20]]\n", + "[1] 1.603123\n", + "\n", + "$MSE_list[[95]][[21]]\n", + "[1] 2.460528\n", + "\n", + "$MSE_list[[95]][[22]]\n", + "[1] 2.829903\n", + "\n", + "$MSE_list[[95]][[23]]\n", + "[1] 1.563379\n", + "\n", + "$MSE_list[[95]][[24]]\n", + "[1] 4.845497\n", + "\n", + "$MSE_list[[95]][[25]]\n", + "[1] 1.744143\n", + "\n", + "$MSE_list[[95]][[26]]\n", + "[1] 5.189838\n", + "\n", + "$MSE_list[[95]][[27]]\n", + "[1] 0.8442472\n", + "\n", + "$MSE_list[[95]][[28]]\n", + "[1] 4.353671\n", + "\n", + "$MSE_list[[95]][[29]]\n", + "[1] 6.439079\n", + "\n", + "$MSE_list[[95]][[30]]\n", + "[1] 7.306739\n", + "\n", + "$MSE_list[[95]][[31]]\n", + "[1] 3.662233\n", + "\n", + "$MSE_list[[95]][[32]]\n", + "[1] 1.097973\n", + "\n", + "$MSE_list[[95]][[33]]\n", + "[1] 2.920479\n", + "\n", + "$MSE_list[[95]][[34]]\n", + "[1] 5.146867\n", + "\n", + "$MSE_list[[95]][[35]]\n", + "[1] 4.089756\n", + "\n", + "$MSE_list[[95]][[36]]\n", + "[1] 3.065363\n", + "\n", + "$MSE_list[[95]][[37]]\n", + "[1] 5.335072\n", + "\n", + "$MSE_list[[95]][[38]]\n", + "[1] 6.376873\n", + "\n", + "$MSE_list[[95]][[39]]\n", + "[1] 4.525985\n", + "\n", + "$MSE_list[[95]][[40]]\n", + "[1] 5.759785\n", + "\n", + "$MSE_list[[95]][[41]]\n", + "[1] 2.94346\n", + "\n", + "$MSE_list[[95]][[42]]\n", + "[1] 5.913111\n", + "\n", + "$MSE_list[[95]][[43]]\n", + "[1] 1.115704\n", + "\n", + "$MSE_list[[95]][[44]]\n", + "[1] 2.195278\n", + "\n", + "$MSE_list[[95]][[45]]\n", + "[1] 4.146346\n", + "\n", + "$MSE_list[[95]][[46]]\n", + "[1] 5.8286\n", + "\n", + "$MSE_list[[95]][[47]]\n", + "[1] 4.319813\n", + "\n", + "$MSE_list[[95]][[48]]\n", + "[1] 2.892412\n", + "\n", + "$MSE_list[[95]][[49]]\n", + "[1] 3.02402\n", + "\n", + "$MSE_list[[95]][[50]]\n", + "[1] 1.580291\n", + "\n", + "$MSE_list[[95]][[51]]\n", + "[1] 5.319972\n", + "\n", + "$MSE_list[[95]][[52]]\n", + "[1] 4.681738\n", + "\n", + "$MSE_list[[95]][[53]]\n", + "[1] 2.406214\n", + "\n", + "$MSE_list[[95]][[54]]\n", + "[1] 3.039233\n", + "\n", + "$MSE_list[[95]][[55]]\n", + "[1] 5.14895\n", + "\n", + "$MSE_list[[95]][[56]]\n", + "[1] 6.121889\n", + "\n", + "$MSE_list[[95]][[57]]\n", + "[1] 5.08321\n", + "\n", + "$MSE_list[[95]][[58]]\n", + "[1] 2.216701\n", + "\n", + "$MSE_list[[95]][[59]]\n", + "[1] 2.835505\n", + "\n", + "$MSE_list[[95]][[60]]\n", + "[1] 2.694636\n", + "\n", + "$MSE_list[[95]][[61]]\n", + "[1] 6.751868\n", + "\n", + "$MSE_list[[95]][[62]]\n", + "[1] 3.841091\n", + "\n", + "$MSE_list[[95]][[63]]\n", + "[1] 2.53422\n", + "\n", + "$MSE_list[[95]][[64]]\n", + "[1] 0.9517314\n", + "\n", + "$MSE_list[[95]][[65]]\n", + "[1] 4.151037\n", + "\n", + "$MSE_list[[95]][[66]]\n", + "[1] 2.228038\n", + "\n", + "$MSE_list[[95]][[67]]\n", + "[1] 5.132194\n", + "\n", + "$MSE_list[[95]][[68]]\n", + "[1] 2.93157\n", + "\n", + "$MSE_list[[95]][[69]]\n", + "[1] 1.055669\n", + "\n", + "$MSE_list[[95]][[70]]\n", + "[1] 1.928421\n", + "\n", + "$MSE_list[[95]][[71]]\n", + "[1] 3.164795\n", + "\n", + "$MSE_list[[95]][[72]]\n", + "[1] 1.519092\n", + "\n", + "$MSE_list[[95]][[73]]\n", + "[1] 2.206269\n", + "\n", + "$MSE_list[[95]][[74]]\n", + "[1] 4.877376\n", + "\n", + "$MSE_list[[95]][[75]]\n", + "[1] 6.058888\n", + "\n", + "$MSE_list[[95]][[76]]\n", + "[1] 1.678988\n", + "\n", + "$MSE_list[[95]][[77]]\n", + "[1] 2.944251\n", + "\n", + "$MSE_list[[95]][[78]]\n", + "[1] 1.320021\n", + "\n", + "$MSE_list[[95]][[79]]\n", + "[1] 4.801929\n", + "\n", + "$MSE_list[[95]][[80]]\n", + "[1] 4.236271\n", + "\n", + "$MSE_list[[95]][[81]]\n", + "[1] 3.46659\n", + "\n", + "$MSE_list[[95]][[82]]\n", + "[1] 6.072403\n", + "\n", + "$MSE_list[[95]][[83]]\n", + "[1] 2.735282\n", + "\n", + "$MSE_list[[95]][[84]]\n", + "[1] 5.498496\n", + "\n", + "$MSE_list[[95]][[85]]\n", + "[1] 2.441533\n", + "\n", + "$MSE_list[[95]][[86]]\n", + "[1] 4.103683\n", + "\n", + "$MSE_list[[95]][[87]]\n", + "[1] 6.407602\n", + "\n", + "$MSE_list[[95]][[88]]\n", + "[1] 1.660584\n", + "\n", + "$MSE_list[[95]][[89]]\n", + "[1] 0.6511602\n", + "\n", + "$MSE_list[[95]][[90]]\n", + "[1] 3.554445\n", + "\n", + "$MSE_list[[95]][[91]]\n", + "[1] 3.537105\n", + "\n", + "$MSE_list[[95]][[92]]\n", + "[1] 3.716152\n", + "\n", + "$MSE_list[[95]][[93]]\n", + "[1] 5.064517\n", + "\n", + "$MSE_list[[95]][[94]]\n", + "[1] 1.45429\n", + "\n", + "$MSE_list[[95]][[95]]\n", + "[1] 2.851365\n", + "\n", + "$MSE_list[[95]][[96]]\n", + "[1] 2.674166\n", + "\n", + "$MSE_list[[95]][[97]]\n", + "[1] 4.979146\n", + "\n", + "$MSE_list[[95]][[98]]\n", + "[1] 2.660093\n", + "\n", + "$MSE_list[[95]][[99]]\n", + "[1] 1.562959\n", + "\n", + "$MSE_list[[95]][[100]]\n", + "[1] 2.828282\n", + "\n", + "\n", + "$MSE_list[[96]]\n", + "$MSE_list[[96]][[1]]\n", + "[1] 5.311236\n", + "\n", + "$MSE_list[[96]][[2]]\n", + "[1] 2.67824\n", + "\n", + "$MSE_list[[96]][[3]]\n", + "[1] 4.069032\n", + "\n", + "$MSE_list[[96]][[4]]\n", + "[1] 2.465597\n", + "\n", + "$MSE_list[[96]][[5]]\n", + "[1] 5.637163\n", + "\n", + "$MSE_list[[96]][[6]]\n", + "[1] 2.451293\n", + "\n", + "$MSE_list[[96]][[7]]\n", + "[1] 8.110328\n", + "\n", + "$MSE_list[[96]][[8]]\n", + "[1] 6.768691\n", + "\n", + "$MSE_list[[96]][[9]]\n", + "[1] 8.068045\n", + "\n", + "$MSE_list[[96]][[10]]\n", + "[1] 2.979365\n", + "\n", + "$MSE_list[[96]][[11]]\n", + "[1] 3.298283\n", + "\n", + "$MSE_list[[96]][[12]]\n", + "[1] 4.149684\n", + "\n", + "$MSE_list[[96]][[13]]\n", + "[1] 4.353424\n", + "\n", + "$MSE_list[[96]][[14]]\n", + "[1] 1.558301\n", + "\n", + "$MSE_list[[96]][[15]]\n", + "[1] 5.660206\n", + "\n", + "$MSE_list[[96]][[16]]\n", + "[1] 3.602059\n", + "\n", + "$MSE_list[[96]][[17]]\n", + "[1] 4.001229\n", + "\n", + "$MSE_list[[96]][[18]]\n", + "[1] 2.965398\n", + "\n", + "$MSE_list[[96]][[19]]\n", + "[1] 4.301884\n", + "\n", + "$MSE_list[[96]][[20]]\n", + "[1] 3.581867\n", + "\n", + "$MSE_list[[96]][[21]]\n", + "[1] 2.394966\n", + "\n", + "$MSE_list[[96]][[22]]\n", + "[1] 4.386138\n", + "\n", + "$MSE_list[[96]][[23]]\n", + "[1] 1.868468\n", + "\n", + "$MSE_list[[96]][[24]]\n", + "[1] 2.243951\n", + "\n", + "$MSE_list[[96]][[25]]\n", + "[1] 4.374391\n", + "\n", + "$MSE_list[[96]][[26]]\n", + "[1] 3.643572\n", + "\n", + "$MSE_list[[96]][[27]]\n", + "[1] 2.095224\n", + "\n", + "$MSE_list[[96]][[28]]\n", + "[1] 3.112529\n", + "\n", + "$MSE_list[[96]][[29]]\n", + "[1] 1.139872\n", + "\n", + "$MSE_list[[96]][[30]]\n", + "[1] 2.373541\n", + "\n", + "$MSE_list[[96]][[31]]\n", + "[1] 3.588838\n", + "\n", + "$MSE_list[[96]][[32]]\n", + "[1] 6.584106\n", + "\n", + "$MSE_list[[96]][[33]]\n", + "[1] 9.393419\n", + "\n", + "$MSE_list[[96]][[34]]\n", + "[1] 3.168798\n", + "\n", + "$MSE_list[[96]][[35]]\n", + "[1] 2.055575\n", + "\n", + "$MSE_list[[96]][[36]]\n", + "[1] 1.949043\n", + "\n", + "$MSE_list[[96]][[37]]\n", + "[1] 1.508874\n", + "\n", + "$MSE_list[[96]][[38]]\n", + "[1] 1.949768\n", + "\n", + "$MSE_list[[96]][[39]]\n", + "[1] 2.252708\n", + "\n", + "$MSE_list[[96]][[40]]\n", + "[1] 3.480652\n", + "\n", + "$MSE_list[[96]][[41]]\n", + "[1] 2.038982\n", + "\n", + "$MSE_list[[96]][[42]]\n", + "[1] 2.702109\n", + "\n", + "$MSE_list[[96]][[43]]\n", + "[1] 1.868107\n", + "\n", + "$MSE_list[[96]][[44]]\n", + "[1] 7.445401\n", + "\n", + "$MSE_list[[96]][[45]]\n", + "[1] 2.618961\n", + "\n", + "$MSE_list[[96]][[46]]\n", + "[1] 4.466531\n", + "\n", + "$MSE_list[[96]][[47]]\n", + "[1] 1.231627\n", + "\n", + "$MSE_list[[96]][[48]]\n", + "[1] 3.304314\n", + "\n", + "$MSE_list[[96]][[49]]\n", + "[1] 2.015974\n", + "\n", + "$MSE_list[[96]][[50]]\n", + "[1] 1.900552\n", + "\n", + "$MSE_list[[96]][[51]]\n", + "[1] 1.907435\n", + "\n", + "$MSE_list[[96]][[52]]\n", + "[1] 8.557965\n", + "\n", + "$MSE_list[[96]][[53]]\n", + "[1] 1.108235\n", + "\n", + "$MSE_list[[96]][[54]]\n", + "[1] 3.825695\n", + "\n", + "$MSE_list[[96]][[55]]\n", + "[1] 6.182068\n", + "\n", + "$MSE_list[[96]][[56]]\n", + "[1] 8.083805\n", + "\n", + "$MSE_list[[96]][[57]]\n", + "[1] 6.991135\n", + "\n", + "$MSE_list[[96]][[58]]\n", + "[1] 1.445952\n", + "\n", + "$MSE_list[[96]][[59]]\n", + "[1] 3.890045\n", + "\n", + "$MSE_list[[96]][[60]]\n", + "[1] 7.279554\n", + "\n", + "$MSE_list[[96]][[61]]\n", + "[1] 3.031434\n", + "\n", + "$MSE_list[[96]][[62]]\n", + "[1] 3.073127\n", + "\n", + "$MSE_list[[96]][[63]]\n", + "[1] 4.169069\n", + "\n", + "$MSE_list[[96]][[64]]\n", + "[1] 2.006839\n", + "\n", + "$MSE_list[[96]][[65]]\n", + "[1] 2.580856\n", + "\n", + "$MSE_list[[96]][[66]]\n", + "[1] 4.854772\n", + "\n", + "$MSE_list[[96]][[67]]\n", + "[1] 1.465763\n", + "\n", + "$MSE_list[[96]][[68]]\n", + "[1] 1.793369\n", + "\n", + "$MSE_list[[96]][[69]]\n", + "[1] 6.883058\n", + "\n", + "$MSE_list[[96]][[70]]\n", + "[1] 2.609272\n", + "\n", + "$MSE_list[[96]][[71]]\n", + "[1] 2.166203\n", + "\n", + "$MSE_list[[96]][[72]]\n", + "[1] 3.493828\n", + "\n", + "$MSE_list[[96]][[73]]\n", + "[1] 6.128505\n", + "\n", + "$MSE_list[[96]][[74]]\n", + "[1] 2.901787\n", + "\n", + "$MSE_list[[96]][[75]]\n", + "[1] 3.378959\n", + "\n", + "$MSE_list[[96]][[76]]\n", + "[1] 4.204151\n", + "\n", + "$MSE_list[[96]][[77]]\n", + "[1] 4.159568\n", + "\n", + "$MSE_list[[96]][[78]]\n", + "[1] 4.501712\n", + "\n", + "$MSE_list[[96]][[79]]\n", + "[1] 5.408825\n", + "\n", + "$MSE_list[[96]][[80]]\n", + "[1] 5.331719\n", + "\n", + "$MSE_list[[96]][[81]]\n", + "[1] 1.266279\n", + "\n", + "$MSE_list[[96]][[82]]\n", + "[1] 7.587178\n", + "\n", + "$MSE_list[[96]][[83]]\n", + "[1] 4.597982\n", + "\n", + "$MSE_list[[96]][[84]]\n", + "[1] 4.861613\n", + "\n", + "$MSE_list[[96]][[85]]\n", + "[1] 3.752856\n", + "\n", + "$MSE_list[[96]][[86]]\n", + "[1] 6.786341\n", + "\n", + "$MSE_list[[96]][[87]]\n", + "[1] 4.053624\n", + "\n", + "$MSE_list[[96]][[88]]\n", + "[1] 3.106736\n", + "\n", + "$MSE_list[[96]][[89]]\n", + "[1] 2.93727\n", + "\n", + "$MSE_list[[96]][[90]]\n", + "[1] 2.1744\n", + "\n", + "$MSE_list[[96]][[91]]\n", + "[1] 0.9900885\n", + "\n", + "$MSE_list[[96]][[92]]\n", + "[1] 2.642089\n", + "\n", + "$MSE_list[[96]][[93]]\n", + "[1] 4.526156\n", + "\n", + "$MSE_list[[96]][[94]]\n", + "[1] 4.659593\n", + "\n", + "$MSE_list[[96]][[95]]\n", + "[1] 4.311956\n", + "\n", + "$MSE_list[[96]][[96]]\n", + "[1] 5.964214\n", + "\n", + "$MSE_list[[96]][[97]]\n", + "[1] 7.994253\n", + "\n", + "$MSE_list[[96]][[98]]\n", + "[1] 8.833942\n", + "\n", + "$MSE_list[[96]][[99]]\n", + "[1] 6.223964\n", + "\n", + "$MSE_list[[96]][[100]]\n", + "[1] 3.702408\n", + "\n", + "\n", + "$MSE_list[[97]]\n", + "$MSE_list[[97]][[1]]\n", + "[1] 10.45265\n", + "\n", + "$MSE_list[[97]][[2]]\n", + "[1] 2.518664\n", + "\n", + "$MSE_list[[97]][[3]]\n", + "[1] 4.927863\n", + "\n", + "$MSE_list[[97]][[4]]\n", + "[1] 3.8875\n", + "\n", + "$MSE_list[[97]][[5]]\n", + "[1] 2.667839\n", + "\n", + "$MSE_list[[97]][[6]]\n", + "[1] 2.740234\n", + "\n", + "$MSE_list[[97]][[7]]\n", + "[1] 1.734188\n", + "\n", + "$MSE_list[[97]][[8]]\n", + "[1] 1.097565\n", + "\n", + "$MSE_list[[97]][[9]]\n", + "[1] 5.623139\n", + "\n", + "$MSE_list[[97]][[10]]\n", + "[1] 1.067271\n", + "\n", + "$MSE_list[[97]][[11]]\n", + "[1] 6.362684\n", + "\n", + "$MSE_list[[97]][[12]]\n", + "[1] 8.994993\n", + "\n", + "$MSE_list[[97]][[13]]\n", + "[1] 3.064892\n", + "\n", + "$MSE_list[[97]][[14]]\n", + "[1] 2.428701\n", + "\n", + "$MSE_list[[97]][[15]]\n", + "[1] 4.435163\n", + "\n", + "$MSE_list[[97]][[16]]\n", + "[1] 1.820762\n", + "\n", + "$MSE_list[[97]][[17]]\n", + "[1] 2.066662\n", + "\n", + "$MSE_list[[97]][[18]]\n", + "[1] 5.474481\n", + "\n", + "$MSE_list[[97]][[19]]\n", + "[1] 6.533027\n", + "\n", + "$MSE_list[[97]][[20]]\n", + "[1] 2.758074\n", + "\n", + "$MSE_list[[97]][[21]]\n", + "[1] 2.941054\n", + "\n", + "$MSE_list[[97]][[22]]\n", + "[1] 0.8678161\n", + "\n", + "$MSE_list[[97]][[23]]\n", + "[1] 5.339511\n", + "\n", + "$MSE_list[[97]][[24]]\n", + "[1] 2.790579\n", + "\n", + "$MSE_list[[97]][[25]]\n", + "[1] 1.504288\n", + "\n", + "$MSE_list[[97]][[26]]\n", + "[1] 6.240141\n", + "\n", + "$MSE_list[[97]][[27]]\n", + "[1] 1.559486\n", + "\n", + "$MSE_list[[97]][[28]]\n", + "[1] 4.962837\n", + "\n", + "$MSE_list[[97]][[29]]\n", + "[1] 4.302698\n", + "\n", + "$MSE_list[[97]][[30]]\n", + "[1] 2.95507\n", + "\n", + "$MSE_list[[97]][[31]]\n", + "[1] 5.422381\n", + "\n", + "$MSE_list[[97]][[32]]\n", + "[1] 9.262871\n", + "\n", + "$MSE_list[[97]][[33]]\n", + "[1] 5.821909\n", + "\n", + "$MSE_list[[97]][[34]]\n", + "[1] 2.817925\n", + "\n", + "$MSE_list[[97]][[35]]\n", + "[1] 4.176072\n", + "\n", + "$MSE_list[[97]][[36]]\n", + "[1] 5.784414\n", + "\n", + "$MSE_list[[97]][[37]]\n", + "[1] 1.084245\n", + "\n", + "$MSE_list[[97]][[38]]\n", + "[1] 3.501836\n", + "\n", + "$MSE_list[[97]][[39]]\n", + "[1] 1.676565\n", + "\n", + "$MSE_list[[97]][[40]]\n", + "[1] 1.290826\n", + "\n", + "$MSE_list[[97]][[41]]\n", + "[1] 2.902253\n", + "\n", + "$MSE_list[[97]][[42]]\n", + "[1] 6.919575\n", + "\n", + "$MSE_list[[97]][[43]]\n", + "[1] 1.66393\n", + "\n", + "$MSE_list[[97]][[44]]\n", + "[1] 6.209693\n", + "\n", + "$MSE_list[[97]][[45]]\n", + "[1] 0.8001482\n", + "\n", + "$MSE_list[[97]][[46]]\n", + "[1] 3.127637\n", + "\n", + "$MSE_list[[97]][[47]]\n", + "[1] 4.240838\n", + "\n", + "$MSE_list[[97]][[48]]\n", + "[1] 2.26113\n", + "\n", + "$MSE_list[[97]][[49]]\n", + "[1] 7.731418\n", + "\n", + "$MSE_list[[97]][[50]]\n", + "[1] 5.26984\n", + "\n", + "$MSE_list[[97]][[51]]\n", + "[1] 2.7919\n", + "\n", + "$MSE_list[[97]][[52]]\n", + "[1] 2.279999\n", + "\n", + "$MSE_list[[97]][[53]]\n", + "[1] 4.988699\n", + "\n", + "$MSE_list[[97]][[54]]\n", + "[1] 4.495559\n", + "\n", + "$MSE_list[[97]][[55]]\n", + "[1] 3.928446\n", + "\n", + "$MSE_list[[97]][[56]]\n", + "[1] 0.9995501\n", + "\n", + "$MSE_list[[97]][[57]]\n", + "[1] 5.512336\n", + "\n", + "$MSE_list[[97]][[58]]\n", + "[1] 6.584265\n", + "\n", + "$MSE_list[[97]][[59]]\n", + "[1] 1.452974\n", + "\n", + "$MSE_list[[97]][[60]]\n", + "[1] 1.585166\n", + "\n", + "$MSE_list[[97]][[61]]\n", + "[1] 4.114455\n", + "\n", + "$MSE_list[[97]][[62]]\n", + "[1] 4.005869\n", + "\n", + "$MSE_list[[97]][[63]]\n", + "[1] 7.022318\n", + "\n", + "$MSE_list[[97]][[64]]\n", + "[1] 4.752664\n", + "\n", + "$MSE_list[[97]][[65]]\n", + "[1] 9.379901\n", + "\n", + "$MSE_list[[97]][[66]]\n", + "[1] 2.635721\n", + "\n", + "$MSE_list[[97]][[67]]\n", + "[1] 1.961058\n", + "\n", + "$MSE_list[[97]][[68]]\n", + "[1] 2.508648\n", + "\n", + "$MSE_list[[97]][[69]]\n", + "[1] 1.73642\n", + "\n", + "$MSE_list[[97]][[70]]\n", + "[1] 1.708437\n", + "\n", + "$MSE_list[[97]][[71]]\n", + "[1] 1.198118\n", + "\n", + "$MSE_list[[97]][[72]]\n", + "[1] 2.744024\n", + "\n", + "$MSE_list[[97]][[73]]\n", + "[1] 1.888647\n", + "\n", + "$MSE_list[[97]][[74]]\n", + "[1] 3.849556\n", + "\n", + "$MSE_list[[97]][[75]]\n", + "[1] 3.387741\n", + "\n", + "$MSE_list[[97]][[76]]\n", + "[1] 1.678054\n", + "\n", + "$MSE_list[[97]][[77]]\n", + "[1] 2.933486\n", + "\n", + "$MSE_list[[97]][[78]]\n", + "[1] 2.776544\n", + "\n", + "$MSE_list[[97]][[79]]\n", + "[1] 9.494052\n", + "\n", + "$MSE_list[[97]][[80]]\n", + "[1] 1.474439\n", + "\n", + "$MSE_list[[97]][[81]]\n", + "[1] 5.699359\n", + "\n", + "$MSE_list[[97]][[82]]\n", + "[1] 5.35902\n", + "\n", + "$MSE_list[[97]][[83]]\n", + "[1] 6.112345\n", + "\n", + "$MSE_list[[97]][[84]]\n", + "[1] 4.942062\n", + "\n", + "$MSE_list[[97]][[85]]\n", + "[1] 5.469812\n", + "\n", + "$MSE_list[[97]][[86]]\n", + "[1] 3.797948\n", + "\n", + "$MSE_list[[97]][[87]]\n", + "[1] 5.313759\n", + "\n", + "$MSE_list[[97]][[88]]\n", + "[1] 6.767258\n", + "\n", + "$MSE_list[[97]][[89]]\n", + "[1] 7.09759\n", + "\n", + "$MSE_list[[97]][[90]]\n", + "[1] 2.248353\n", + "\n", + "$MSE_list[[97]][[91]]\n", + "[1] 1.537269\n", + "\n", + "$MSE_list[[97]][[92]]\n", + "[1] 4.088546\n", + "\n", + "$MSE_list[[97]][[93]]\n", + "[1] 2.499378\n", + "\n", + "$MSE_list[[97]][[94]]\n", + "[1] 3.257107\n", + "\n", + "$MSE_list[[97]][[95]]\n", + "[1] 5.795307\n", + "\n", + "$MSE_list[[97]][[96]]\n", + "[1] 3.955664\n", + "\n", + "$MSE_list[[97]][[97]]\n", + "[1] 1.772964\n", + "\n", + "$MSE_list[[97]][[98]]\n", + "[1] 5.812405\n", + "\n", + "$MSE_list[[97]][[99]]\n", + "[1] 5.584678\n", + "\n", + "$MSE_list[[97]][[100]]\n", + "[1] 1.377937\n", + "\n", + "\n", + "$MSE_list[[98]]\n", + "$MSE_list[[98]][[1]]\n", + "[1] 5.093015\n", + "\n", + "$MSE_list[[98]][[2]]\n", + "[1] 2.59018\n", + "\n", + "$MSE_list[[98]][[3]]\n", + "[1] 4.931029\n", + "\n", + "$MSE_list[[98]][[4]]\n", + "[1] 3.685049\n", + "\n", + "$MSE_list[[98]][[5]]\n", + "[1] 4.361517\n", + "\n", + "$MSE_list[[98]][[6]]\n", + "[1] 5.678179\n", + "\n", + "$MSE_list[[98]][[7]]\n", + "[1] 6.576995\n", + "\n", + "$MSE_list[[98]][[8]]\n", + "[1] 2.569946\n", + "\n", + "$MSE_list[[98]][[9]]\n", + "[1] 6.579558\n", + "\n", + "$MSE_list[[98]][[10]]\n", + "[1] 5.503937\n", + "\n", + "$MSE_list[[98]][[11]]\n", + "[1] 5.64658\n", + "\n", + "$MSE_list[[98]][[12]]\n", + "[1] 3.54534\n", + "\n", + "$MSE_list[[98]][[13]]\n", + "[1] 1.944373\n", + "\n", + "$MSE_list[[98]][[14]]\n", + "[1] 2.104321\n", + "\n", + "$MSE_list[[98]][[15]]\n", + "[1] 2.986379\n", + "\n", + "$MSE_list[[98]][[16]]\n", + "[1] 2.666282\n", + "\n", + "$MSE_list[[98]][[17]]\n", + "[1] 1.140857\n", + "\n", + "$MSE_list[[98]][[18]]\n", + "[1] 5.043219\n", + "\n", + "$MSE_list[[98]][[19]]\n", + "[1] 7.375949\n", + "\n", + "$MSE_list[[98]][[20]]\n", + "[1] 8.134614\n", + "\n", + "$MSE_list[[98]][[21]]\n", + "[1] 2.668371\n", + "\n", + "$MSE_list[[98]][[22]]\n", + "[1] 5.523771\n", + "\n", + "$MSE_list[[98]][[23]]\n", + "[1] 3.472599\n", + "\n", + "$MSE_list[[98]][[24]]\n", + "[1] 3.261298\n", + "\n", + "$MSE_list[[98]][[25]]\n", + "[1] 6.586408\n", + "\n", + "$MSE_list[[98]][[26]]\n", + "[1] 1.572646\n", + "\n", + "$MSE_list[[98]][[27]]\n", + "[1] 3.292162\n", + "\n", + "$MSE_list[[98]][[28]]\n", + "[1] 2.19716\n", + "\n", + "$MSE_list[[98]][[29]]\n", + "[1] 5.351033\n", + "\n", + "$MSE_list[[98]][[30]]\n", + "[1] 0.6785547\n", + "\n", + "$MSE_list[[98]][[31]]\n", + "[1] 5.7087\n", + "\n", + "$MSE_list[[98]][[32]]\n", + "[1] 9.661916\n", + "\n", + "$MSE_list[[98]][[33]]\n", + "[1] 7.863827\n", + "\n", + "$MSE_list[[98]][[34]]\n", + "[1] 3.067878\n", + "\n", + "$MSE_list[[98]][[35]]\n", + "[1] 5.640956\n", + "\n", + "$MSE_list[[98]][[36]]\n", + "[1] 6.35308\n", + "\n", + "$MSE_list[[98]][[37]]\n", + "[1] 6.819141\n", + "\n", + "$MSE_list[[98]][[38]]\n", + "[1] 3.541743\n", + "\n", + "$MSE_list[[98]][[39]]\n", + "[1] 1.885714\n", + "\n", + "$MSE_list[[98]][[40]]\n", + "[1] 3.079988\n", + "\n", + "$MSE_list[[98]][[41]]\n", + "[1] 3.71235\n", + "\n", + "$MSE_list[[98]][[42]]\n", + "[1] 5.35892\n", + "\n", + "$MSE_list[[98]][[43]]\n", + "[1] 6.918336\n", + "\n", + "$MSE_list[[98]][[44]]\n", + "[1] 2.216064\n", + "\n", + "$MSE_list[[98]][[45]]\n", + "[1] 5.268968\n", + "\n", + "$MSE_list[[98]][[46]]\n", + "[1] 4.073611\n", + "\n", + "$MSE_list[[98]][[47]]\n", + "[1] 0.9297331\n", + "\n", + "$MSE_list[[98]][[48]]\n", + "[1] 1.595012\n", + "\n", + "$MSE_list[[98]][[49]]\n", + "[1] 5.64367\n", + "\n", + "$MSE_list[[98]][[50]]\n", + "[1] 4.296774\n", + "\n", + "$MSE_list[[98]][[51]]\n", + "[1] 8.134085\n", + "\n", + "$MSE_list[[98]][[52]]\n", + "[1] 3.12373\n", + "\n", + "$MSE_list[[98]][[53]]\n", + "[1] 3.171506\n", + "\n", + "$MSE_list[[98]][[54]]\n", + "[1] 2.174484\n", + "\n", + "$MSE_list[[98]][[55]]\n", + "[1] 3.262327\n", + "\n", + "$MSE_list[[98]][[56]]\n", + "[1] 5.674021\n", + "\n", + "$MSE_list[[98]][[57]]\n", + "[1] 3.053913\n", + "\n", + "$MSE_list[[98]][[58]]\n", + "[1] 5.636443\n", + "\n", + "$MSE_list[[98]][[59]]\n", + "[1] 1.815087\n", + "\n", + "$MSE_list[[98]][[60]]\n", + "[1] 2.668319\n", + "\n", + "$MSE_list[[98]][[61]]\n", + "[1] 3.426693\n", + "\n", + "$MSE_list[[98]][[62]]\n", + "[1] 2.66449\n", + "\n", + "$MSE_list[[98]][[63]]\n", + "[1] 5.654549\n", + "\n", + "$MSE_list[[98]][[64]]\n", + "[1] 6.34545\n", + "\n", + "$MSE_list[[98]][[65]]\n", + "[1] 5.529331\n", + "\n", + "$MSE_list[[98]][[66]]\n", + "[1] 5.007894\n", + "\n", + "$MSE_list[[98]][[67]]\n", + "[1] 2.82247\n", + "\n", + "$MSE_list[[98]][[68]]\n", + "[1] 8.041149\n", + "\n", + "$MSE_list[[98]][[69]]\n", + "[1] 3.051378\n", + "\n", + "$MSE_list[[98]][[70]]\n", + "[1] 1.652869\n", + "\n", + "$MSE_list[[98]][[71]]\n", + "[1] 6.970736\n", + "\n", + "$MSE_list[[98]][[72]]\n", + "[1] 3.237727\n", + "\n", + "$MSE_list[[98]][[73]]\n", + "[1] 2.675888\n", + "\n", + "$MSE_list[[98]][[74]]\n", + "[1] 2.56021\n", + "\n", + "$MSE_list[[98]][[75]]\n", + "[1] 6.619543\n", + "\n", + "$MSE_list[[98]][[76]]\n", + "[1] 0.8581326\n", + "\n", + "$MSE_list[[98]][[77]]\n", + "[1] 1.951538\n", + "\n", + "$MSE_list[[98]][[78]]\n", + "[1] 2.335302\n", + "\n", + "$MSE_list[[98]][[79]]\n", + "[1] 6.287046\n", + "\n", + "$MSE_list[[98]][[80]]\n", + "[1] 7.711949\n", + "\n", + "$MSE_list[[98]][[81]]\n", + "[1] 2.367532\n", + "\n", + "$MSE_list[[98]][[82]]\n", + "[1] 6.460312\n", + "\n", + "$MSE_list[[98]][[83]]\n", + "[1] 2.978247\n", + "\n", + "$MSE_list[[98]][[84]]\n", + "[1] 6.037067\n", + "\n", + "$MSE_list[[98]][[85]]\n", + "[1] 2.82217\n", + "\n", + "$MSE_list[[98]][[86]]\n", + "[1] 2.7107\n", + "\n", + "$MSE_list[[98]][[87]]\n", + "[1] 5.683194\n", + "\n", + "$MSE_list[[98]][[88]]\n", + "[1] 10.06366\n", + "\n", + "$MSE_list[[98]][[89]]\n", + "[1] 4.386576\n", + "\n", + "$MSE_list[[98]][[90]]\n", + "[1] 4.664512\n", + "\n", + "$MSE_list[[98]][[91]]\n", + "[1] 11.45244\n", + "\n", + "$MSE_list[[98]][[92]]\n", + "[1] 3.576796\n", + "\n", + "$MSE_list[[98]][[93]]\n", + "[1] 5.126643\n", + "\n", + "$MSE_list[[98]][[94]]\n", + "[1] 4.241598\n", + "\n", + "$MSE_list[[98]][[95]]\n", + "[1] 5.055752\n", + "\n", + "$MSE_list[[98]][[96]]\n", + "[1] 3.92755\n", + "\n", + "$MSE_list[[98]][[97]]\n", + "[1] 3.680815\n", + "\n", + "$MSE_list[[98]][[98]]\n", + "[1] 4.544319\n", + "\n", + "$MSE_list[[98]][[99]]\n", + "[1] 4.197122\n", + "\n", + "$MSE_list[[98]][[100]]\n", + "[1] 2.141468\n", + "\n", + "\n", + "$MSE_list[[99]]\n", + "$MSE_list[[99]][[1]]\n", + "[1] 2.041461\n", + "\n", + "$MSE_list[[99]][[2]]\n", + "[1] 2.425542\n", + "\n", + "$MSE_list[[99]][[3]]\n", + "[1] 5.252494\n", + "\n", + "$MSE_list[[99]][[4]]\n", + "[1] 6.192638\n", + "\n", + "$MSE_list[[99]][[5]]\n", + "[1] 4.623625\n", + "\n", + "$MSE_list[[99]][[6]]\n", + "[1] 4.093403\n", + "\n", + "$MSE_list[[99]][[7]]\n", + "[1] 1.931159\n", + "\n", + "$MSE_list[[99]][[8]]\n", + "[1] 1.262195\n", + "\n", + "$MSE_list[[99]][[9]]\n", + "[1] 1.392927\n", + "\n", + "$MSE_list[[99]][[10]]\n", + "[1] 6.649126\n", + "\n", + "$MSE_list[[99]][[11]]\n", + "[1] 3.874151\n", + "\n", + "$MSE_list[[99]][[12]]\n", + "[1] 3.525341\n", + "\n", + "$MSE_list[[99]][[13]]\n", + "[1] 3.275856\n", + "\n", + "$MSE_list[[99]][[14]]\n", + "[1] 1.425985\n", + "\n", + "$MSE_list[[99]][[15]]\n", + "[1] 1.373432\n", + "\n", + "$MSE_list[[99]][[16]]\n", + "[1] 3.122735\n", + "\n", + "$MSE_list[[99]][[17]]\n", + "[1] 4.506379\n", + "\n", + "$MSE_list[[99]][[18]]\n", + "[1] 4.458281\n", + "\n", + "$MSE_list[[99]][[19]]\n", + "[1] 3.236271\n", + "\n", + "$MSE_list[[99]][[20]]\n", + "[1] 4.252764\n", + "\n", + "$MSE_list[[99]][[21]]\n", + "[1] 3.788571\n", + "\n", + "$MSE_list[[99]][[22]]\n", + "[1] 2.140462\n", + "\n", + "$MSE_list[[99]][[23]]\n", + "[1] 1.761596\n", + "\n", + "$MSE_list[[99]][[24]]\n", + "[1] 4.169675\n", + "\n", + "$MSE_list[[99]][[25]]\n", + "[1] 2.580099\n", + "\n", + "$MSE_list[[99]][[26]]\n", + "[1] 1.101958\n", + "\n", + "$MSE_list[[99]][[27]]\n", + "[1] 1.727133\n", + "\n", + "$MSE_list[[99]][[28]]\n", + "[1] 1.519705\n", + "\n", + "$MSE_list[[99]][[29]]\n", + "[1] 4.955304\n", + "\n", + "$MSE_list[[99]][[30]]\n", + "[1] 4.079381\n", + "\n", + "$MSE_list[[99]][[31]]\n", + "[1] 1.534443\n", + "\n", + "$MSE_list[[99]][[32]]\n", + "[1] 0.4314158\n", + "\n", + "$MSE_list[[99]][[33]]\n", + "[1] 0.8569162\n", + "\n", + "$MSE_list[[99]][[34]]\n", + "[1] 5.776237\n", + "\n", + "$MSE_list[[99]][[35]]\n", + "[1] 3.553668\n", + "\n", + "$MSE_list[[99]][[36]]\n", + "[1] 1.568324\n", + "\n", + "$MSE_list[[99]][[37]]\n", + "[1] 1.251451\n", + "\n", + "$MSE_list[[99]][[38]]\n", + "[1] 3.306783\n", + "\n", + "$MSE_list[[99]][[39]]\n", + "[1] 4.275306\n", + "\n", + "$MSE_list[[99]][[40]]\n", + "[1] 0.4724756\n", + "\n", + "$MSE_list[[99]][[41]]\n", + "[1] 1.23141\n", + "\n", + "$MSE_list[[99]][[42]]\n", + "[1] 2.461798\n", + "\n", + "$MSE_list[[99]][[43]]\n", + "[1] 0.5306544\n", + "\n", + "$MSE_list[[99]][[44]]\n", + "[1] 1.449143\n", + "\n", + "$MSE_list[[99]][[45]]\n", + "[1] 1.184707\n", + "\n", + "$MSE_list[[99]][[46]]\n", + "[1] 0.3348431\n", + "\n", + "$MSE_list[[99]][[47]]\n", + "[1] 2.247897\n", + "\n", + "$MSE_list[[99]][[48]]\n", + "[1] 3.662227\n", + "\n", + "$MSE_list[[99]][[49]]\n", + "[1] 0.6513845\n", + "\n", + "$MSE_list[[99]][[50]]\n", + "[1] 4.684663\n", + "\n", + "$MSE_list[[99]][[51]]\n", + "[1] 1.358509\n", + "\n", + "$MSE_list[[99]][[52]]\n", + "[1] 1.640795\n", + "\n", + "$MSE_list[[99]][[53]]\n", + "[1] 3.17735\n", + "\n", + "$MSE_list[[99]][[54]]\n", + "[1] 2.023341\n", + "\n", + "$MSE_list[[99]][[55]]\n", + "[1] 3.74372\n", + "\n", + "$MSE_list[[99]][[56]]\n", + "[1] 2.451399\n", + "\n", + "$MSE_list[[99]][[57]]\n", + "[1] 4.760528\n", + "\n", + "$MSE_list[[99]][[58]]\n", + "[1] 4.934973\n", + "\n", + "$MSE_list[[99]][[59]]\n", + "[1] 1.434962\n", + "\n", + "$MSE_list[[99]][[60]]\n", + "[1] 2.385179\n", + "\n", + "$MSE_list[[99]][[61]]\n", + "[1] 2.832228\n", + "\n", + "$MSE_list[[99]][[62]]\n", + "[1] 5.738177\n", + "\n", + "$MSE_list[[99]][[63]]\n", + "[1] 3.130221\n", + "\n", + "$MSE_list[[99]][[64]]\n", + "[1] 5.756871\n", + "\n", + "$MSE_list[[99]][[65]]\n", + "[1] 2.529524\n", + "\n", + "$MSE_list[[99]][[66]]\n", + "[1] 0.6417644\n", + "\n", + "$MSE_list[[99]][[67]]\n", + "[1] 5.693082\n", + "\n", + "$MSE_list[[99]][[68]]\n", + "[1] 5.399404\n", + "\n", + "$MSE_list[[99]][[69]]\n", + "[1] 3.840914\n", + "\n", + "$MSE_list[[99]][[70]]\n", + "[1] 1.338618\n", + "\n", + "$MSE_list[[99]][[71]]\n", + "[1] 3.848428\n", + "\n", + "$MSE_list[[99]][[72]]\n", + "[1] 1.819221\n", + "\n", + "$MSE_list[[99]][[73]]\n", + "[1] 1.876761\n", + "\n", + "$MSE_list[[99]][[74]]\n", + "[1] 0.6899274\n", + "\n", + "$MSE_list[[99]][[75]]\n", + "[1] 1.490371\n", + "\n", + "$MSE_list[[99]][[76]]\n", + "[1] 0.5524576\n", + "\n", + "$MSE_list[[99]][[77]]\n", + "[1] 1.410064\n", + "\n", + "$MSE_list[[99]][[78]]\n", + "[1] 4.91884\n", + "\n", + "$MSE_list[[99]][[79]]\n", + "[1] 3.88769\n", + "\n", + "$MSE_list[[99]][[80]]\n", + "[1] 2.836774\n", + "\n", + "$MSE_list[[99]][[81]]\n", + "[1] 2.716363\n", + "\n", + "$MSE_list[[99]][[82]]\n", + "[1] 1.07476\n", + "\n", + "$MSE_list[[99]][[83]]\n", + "[1] 2.635206\n", + "\n", + "$MSE_list[[99]][[84]]\n", + "[1] 2.153052\n", + "\n", + "$MSE_list[[99]][[85]]\n", + "[1] 2.662181\n", + "\n", + "$MSE_list[[99]][[86]]\n", + "[1] 0.5591089\n", + "\n", + "$MSE_list[[99]][[87]]\n", + "[1] 3.600153\n", + "\n", + "$MSE_list[[99]][[88]]\n", + "[1] 1.610968\n", + "\n", + "$MSE_list[[99]][[89]]\n", + "[1] 1.547464\n", + "\n", + "$MSE_list[[99]][[90]]\n", + "[1] 1.925531\n", + "\n", + "$MSE_list[[99]][[91]]\n", + "[1] 1.788674\n", + "\n", + "$MSE_list[[99]][[92]]\n", + "[1] 4.819262\n", + "\n", + "$MSE_list[[99]][[93]]\n", + "[1] 2.913621\n", + "\n", + "$MSE_list[[99]][[94]]\n", + "[1] 1.295295\n", + "\n", + "$MSE_list[[99]][[95]]\n", + "[1] 4.289563\n", + "\n", + "$MSE_list[[99]][[96]]\n", + "[1] 3.19433\n", + "\n", + "$MSE_list[[99]][[97]]\n", + "[1] 4.183377\n", + "\n", + "$MSE_list[[99]][[98]]\n", + "[1] 0.6754359\n", + "\n", + "$MSE_list[[99]][[99]]\n", + "[1] 1.29845\n", + "\n", + "$MSE_list[[99]][[100]]\n", + "[1] 7.115986\n", + "\n", + "\n", + "$MSE_list[[100]]\n", + "$MSE_list[[100]][[1]]\n", + "[1] 4.439447\n", + "\n", + "$MSE_list[[100]][[2]]\n", + "[1] 3.542311\n", + "\n", + "$MSE_list[[100]][[3]]\n", + "[1] 9.917571\n", + "\n", + "$MSE_list[[100]][[4]]\n", + "[1] 5.041478\n", + "\n", + "$MSE_list[[100]][[5]]\n", + "[1] 5.9773\n", + "\n", + "$MSE_list[[100]][[6]]\n", + "[1] 1.152872\n", + "\n", + "$MSE_list[[100]][[7]]\n", + "[1] 3.509737\n", + "\n", + "$MSE_list[[100]][[8]]\n", + "[1] 5.880832\n", + "\n", + "$MSE_list[[100]][[9]]\n", + "[1] 4.009056\n", + "\n", + "$MSE_list[[100]][[10]]\n", + "[1] 7.716473\n", + "\n", + "$MSE_list[[100]][[11]]\n", + "[1] 7.563329\n", + "\n", + "$MSE_list[[100]][[12]]\n", + "[1] 4.074576\n", + "\n", + "$MSE_list[[100]][[13]]\n", + "[1] 2.606134\n", + "\n", + "$MSE_list[[100]][[14]]\n", + "[1] 4.184755\n", + "\n", + "$MSE_list[[100]][[15]]\n", + "[1] 5.441665\n", + "\n", + "$MSE_list[[100]][[16]]\n", + "[1] 4.689096\n", + "\n", + "$MSE_list[[100]][[17]]\n", + "[1] 3.133495\n", + "\n", + "$MSE_list[[100]][[18]]\n", + "[1] 4.115049\n", + "\n", + "$MSE_list[[100]][[19]]\n", + "[1] 4.619054\n", + "\n", + "$MSE_list[[100]][[20]]\n", + "[1] 5.95512\n", + "\n", + "$MSE_list[[100]][[21]]\n", + "[1] 4.612701\n", + "\n", + "$MSE_list[[100]][[22]]\n", + "[1] 3.390263\n", + "\n", + "$MSE_list[[100]][[23]]\n", + "[1] 3.739556\n", + "\n", + "$MSE_list[[100]][[24]]\n", + "[1] 7.115834\n", + "\n", + "$MSE_list[[100]][[25]]\n", + "[1] 3.246444\n", + "\n", + "$MSE_list[[100]][[26]]\n", + "[1] 8.192496\n", + "\n", + "$MSE_list[[100]][[27]]\n", + "[1] 4.044299\n", + "\n", + "$MSE_list[[100]][[28]]\n", + "[1] 7.549224\n", + "\n", + "$MSE_list[[100]][[29]]\n", + "[1] 5.436024\n", + "\n", + "$MSE_list[[100]][[30]]\n", + "[1] 2.591525\n", + "\n", + "$MSE_list[[100]][[31]]\n", + "[1] 6.154777\n", + "\n", + "$MSE_list[[100]][[32]]\n", + "[1] 1.568208\n", + "\n", + "$MSE_list[[100]][[33]]\n", + "[1] 4.897063\n", + "\n", + "$MSE_list[[100]][[34]]\n", + "[1] 1.444114\n", + "\n", + "$MSE_list[[100]][[35]]\n", + "[1] 6.225056\n", + "\n", + "$MSE_list[[100]][[36]]\n", + "[1] 3.196276\n", + "\n", + "$MSE_list[[100]][[37]]\n", + "[1] 1.641457\n", + "\n", + "$MSE_list[[100]][[38]]\n", + "[1] 6.725922\n", + "\n", + "$MSE_list[[100]][[39]]\n", + "[1] 8.245443\n", + "\n", + "$MSE_list[[100]][[40]]\n", + "[1] 3.378579\n", + "\n", + "$MSE_list[[100]][[41]]\n", + "[1] 4.91462\n", + "\n", + "$MSE_list[[100]][[42]]\n", + "[1] 4.910038\n", + "\n", + "$MSE_list[[100]][[43]]\n", + "[1] 4.096197\n", + "\n", + "$MSE_list[[100]][[44]]\n", + "[1] 2.838103\n", + "\n", + "$MSE_list[[100]][[45]]\n", + "[1] 2.0815\n", + "\n", + "$MSE_list[[100]][[46]]\n", + "[1] 4.447431\n", + "\n", + "$MSE_list[[100]][[47]]\n", + "[1] 3.688848\n", + "\n", + "$MSE_list[[100]][[48]]\n", + "[1] 4.568538\n", + "\n", + "$MSE_list[[100]][[49]]\n", + "[1] 3.036376\n", + "\n", + "$MSE_list[[100]][[50]]\n", + "[1] 4.060707\n", + "\n", + "$MSE_list[[100]][[51]]\n", + "[1] 5.532394\n", + "\n", + "$MSE_list[[100]][[52]]\n", + "[1] 0.6819737\n", + "\n", + "$MSE_list[[100]][[53]]\n", + "[1] 7.399577\n", + "\n", + "$MSE_list[[100]][[54]]\n", + "[1] 4.522327\n", + "\n", + "$MSE_list[[100]][[55]]\n", + "[1] 8.978013\n", + "\n", + "$MSE_list[[100]][[56]]\n", + "[1] 3.973979\n", + "\n", + "$MSE_list[[100]][[57]]\n", + "[1] 7.553514\n", + "\n", + "$MSE_list[[100]][[58]]\n", + "[1] 1.920644\n", + "\n", + "$MSE_list[[100]][[59]]\n", + "[1] 1.553213\n", + "\n", + "$MSE_list[[100]][[60]]\n", + "[1] 2.941934\n", + "\n", + "$MSE_list[[100]][[61]]\n", + "[1] 6.785556\n", + "\n", + "$MSE_list[[100]][[62]]\n", + "[1] 1.219694\n", + "\n", + "$MSE_list[[100]][[63]]\n", + "[1] 6.233515\n", + "\n", + "$MSE_list[[100]][[64]]\n", + "[1] 3.728549\n", + "\n", + "$MSE_list[[100]][[65]]\n", + "[1] 1.708806\n", + "\n", + "$MSE_list[[100]][[66]]\n", + "[1] 7.087794\n", + "\n", + "$MSE_list[[100]][[67]]\n", + "[1] 7.081975\n", + "\n", + "$MSE_list[[100]][[68]]\n", + "[1] 7.823851\n", + "\n", + "$MSE_list[[100]][[69]]\n", + "[1] 4.878453\n", + "\n", + "$MSE_list[[100]][[70]]\n", + "[1] 5.194802\n", + "\n", + "$MSE_list[[100]][[71]]\n", + "[1] 5.049969\n", + "\n", + "$MSE_list[[100]][[72]]\n", + "[1] 6.05806\n", + "\n", + "$MSE_list[[100]][[73]]\n", + "[1] 5.386371\n", + "\n", + "$MSE_list[[100]][[74]]\n", + "[1] 5.294675\n", + "\n", + "$MSE_list[[100]][[75]]\n", + "[1] 1.933073\n", + "\n", + "$MSE_list[[100]][[76]]\n", + "[1] 4.510761\n", + "\n", + "$MSE_list[[100]][[77]]\n", + "[1] 1.576042\n", + "\n", + "$MSE_list[[100]][[78]]\n", + "[1] 1.726981\n", + "\n", + "$MSE_list[[100]][[79]]\n", + "[1] 2.322508\n", + "\n", + "$MSE_list[[100]][[80]]\n", + "[1] 6.694503\n", + "\n", + "$MSE_list[[100]][[81]]\n", + "[1] 2.189003\n", + "\n", + "$MSE_list[[100]][[82]]\n", + "[1] 5.99478\n", + "\n", + "$MSE_list[[100]][[83]]\n", + "[1] 2.964189\n", + "\n", + "$MSE_list[[100]][[84]]\n", + "[1] 3.155069\n", + "\n", + "$MSE_list[[100]][[85]]\n", + "[1] 7.86743\n", + "\n", + "$MSE_list[[100]][[86]]\n", + "[1] 5.408407\n", + "\n", + "$MSE_list[[100]][[87]]\n", + "[1] 3.455386\n", + "\n", + "$MSE_list[[100]][[88]]\n", + "[1] 4.532032\n", + "\n", + "$MSE_list[[100]][[89]]\n", + "[1] 2.338145\n", + "\n", + "$MSE_list[[100]][[90]]\n", + "[1] 6.79974\n", + "\n", + "$MSE_list[[100]][[91]]\n", + "[1] 2.398592\n", + "\n", + "$MSE_list[[100]][[92]]\n", + "[1] 1.946866\n", + "\n", + "$MSE_list[[100]][[93]]\n", + "[1] 6.283002\n", + "\n", + "$MSE_list[[100]][[94]]\n", + "[1] 5.979779\n", + "\n", + "$MSE_list[[100]][[95]]\n", + "[1] 1.953332\n", + "\n", + "$MSE_list[[100]][[96]]\n", + "[1] 3.533921\n", + "\n", + "$MSE_list[[100]][[97]]\n", + "[1] 6.716434\n", + "\n", + "$MSE_list[[100]][[98]]\n", + "[1] 4.44654\n", + "\n", + "$MSE_list[[100]][[99]]\n", + "[1] 1.892885\n", + "\n", + "$MSE_list[[100]][[100]]\n", + "[1] 5.671346\n", + "\n", + "\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "boot_rf" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "0.2659" + ], + "text/latex": [ + "0.2659" + ], + "text/markdown": [ + "0.2659" + ], + "text/plain": [ + "[1] 0.2659" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
    \n", + "\t
    2.5%
    \n", + "\t\t
    0.17475
    \n", + "\t
    97.5%
    \n", + "\t\t
    0.34
    \n", + "
    \n" + ], + "text/latex": [ + "\\begin{description*}\n", + "\\item[2.5\\textbackslash{}\\%] 0.17475\n", + "\\item[97.5\\textbackslash{}\\%] 0.34\n", + "\\end{description*}\n" + ], + "text/markdown": [ + "2.5%\n", + ": 0.1747597.5%\n", + ": 0.34\n", + "\n" + ], + "text/plain": [ + " 2.5% 97.5% \n", + "0.17475 0.34000 " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "diff_stab = (boot_compLasso$stab_index - boot_rf$stab_index)\n", + "mean(diff_stab)\n", + "quantile(diff_stab, probs = c(0.025, 0.975)) \n", + "# CI doesn't contain zero: compLasso is significantly more stable than RF" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "11.8026936858767" + ], + "text/latex": [ + "11.8026936858767" + ], + "text/markdown": [ + "11.8026936858767" + ], + "text/plain": [ + "[1] 11.80269" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
    \n", + "\t
    2.5%
    \n", + "\t\t
    -2.09038719853993
    \n", + "\t
    97.5%
    \n", + "\t\t
    41.1831613135692
    \n", + "
    \n" + ], + "text/latex": [ + "\\begin{description*}\n", + "\\item[2.5\\textbackslash{}\\%] -2.09038719853993\n", + "\\item[97.5\\textbackslash{}\\%] 41.1831613135692\n", + "\\end{description*}\n" + ], + "text/markdown": [ + "2.5%\n", + ": -2.0903871985399397.5%\n", + ": 41.1831613135692\n", + "\n" + ], + "text/plain": [ + " 2.5% 97.5% \n", + "-2.090387 41.183161 " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "diff_mse = (unlist(boot_compLasso$MSE_list) - unlist(boot_rf$MSE_list)) # use all 100*100 MSEs\n", + "mean(diff_mse)\n", + "quantile(diff_mse, probs = c(0.025, 0.975)) \n", + "# CI contain zero: compLasso is not significantly different from RF based on MSE" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "R", + "language": "R", + "name": "ir" + }, + "language_info": { + "codemirror_mode": "r", + "file_extension": ".r", + "mimetype": "text/x-r-source", + "name": "R", + "pygments_lexer": "r", + "version": "3.6.1" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/data_application/notebooks_application/4.0 88soils_biom_table_preprocess (python).ipynb b/data_application/notebooks_application/4.0 88soils_biom_table_preprocess (python).ipynb new file mode 100644 index 0000000..d209444 --- /dev/null +++ b/data_application/notebooks_application/4.0 88soils_biom_table_preprocess (python).ipynb @@ -0,0 +1,1571 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# ref: the soil dataset used in balance tree\n", + "# https://msystems.asm.org/content/2/1/e00162-16" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import sys\n", + "import biom\n", + "from biom.util import biom_open\n", + "import pandas as pd\n", + "import numpy as np" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "def biom2pandas(file_biom, withTaxonomy=False, astype=int):\n", + " \"\"\" Converts a biom file into a Pandas.DataFrame\n", + " Parameters\n", + " ----------\n", + " file_biom : str\n", + " The path to the biom file.\n", + " withTaxonomy : bool\n", + " If TRUE, returns a second Pandas.Series with lineage information for\n", + " each feature, e.g. OTU or deblur-sequence. Default: FALSE\n", + " astype : type\n", + " datatype into each value of the biom table is casted. Default: int.\n", + " Use e.g. float if biom table contains relative abundances instead of\n", + " raw reads.\n", + " Returns\n", + " -------\n", + " A Pandas.DataFrame holding holding numerical values from the biom file.\n", + " If withTaxonomy is TRUE then a second Pandas.DataFrame is returned, holding\n", + " lineage information about each feature.\n", + " Raises\n", + " ------\n", + " IOError\n", + " If file_biom cannot be read.\n", + " ValueError\n", + " If withTaxonomy=TRUE but biom file does not hold taxonomy information.\n", + " \"\"\"\n", + " try:\n", + " table = biom.load_table(file_biom)\n", + " counts = pd.DataFrame(table.matrix_data.T.todense().astype(astype),\n", + " index=table.ids(axis='sample'),\n", + " columns=table.ids(axis='observation')).T\n", + " if withTaxonomy:\n", + " try:\n", + " md = table.metadata_to_dataframe('observation')\n", + " levels = [col\n", + " for col in md.columns\n", + " if col.startswith('taxonomy_')]\n", + " if levels == []:\n", + " raise ValueError(('No taxonomy information found in '\n", + " 'biom file.'))\n", + " else:\n", + " taxonomy = md.apply(lambda row:\n", + " \";\".join([row[l] for l in levels]),\n", + " axis=1)\n", + " return counts, taxonomy\n", + " except KeyError:\n", + " raise ValueError(('Biom file does not have any '\n", + " 'observation metadata!'))\n", + " else:\n", + " return counts\n", + " except IOError:\n", + " raise IOError('Cannot read file \"%s\"' % file_biom)\n", + "\n", + "\n", + "def pandas2biom(file_biom, table, taxonomy=None, err=sys.stderr):\n", + " \"\"\" Writes a Pandas.DataFrame into a biom file.\n", + " Parameters\n", + " ----------\n", + " file_biom: str\n", + " The filename of the BIOM file to be created.\n", + " table: a Pandas.DataFrame\n", + " The table that should be written as BIOM.\n", + " taxonomy : pandas.Series\n", + " Index is taxons corresponding to table, values are lineage strings like\n", + " 'k__Bacteria; p__Actinobacteria'\n", + " err : StringIO\n", + " Stream onto which errors / warnings should be printed.\n", + " Default is sys.stderr\n", + " Raises\n", + " ------\n", + " IOError\n", + " If file_biom cannot be written.\n", + " TODO\n", + " ----\n", + " 1) also store taxonomy information\n", + " \"\"\"\n", + " try:\n", + " bt = biom.Table(table.values,\n", + " observation_ids=table.index,\n", + " sample_ids=table.columns)\n", + "\n", + " # add taxonomy metadata if provided, i.e. is not None\n", + " if taxonomy is not None:\n", + " if not isinstance(taxonomy, pd.core.series.Series):\n", + " raise AttributeError('taxonomy must be a pandas.Series!')\n", + " idx_missing_intable = set(table.index) - set(taxonomy.index)\n", + " if len(idx_missing_intable) > 0:\n", + " err.write(('Warning: following %i taxa are not in the '\n", + " 'provided taxonomy:\\n%s\\n') % (\n", + " len(idx_missing_intable),\n", + " \", \".join(idx_missing_intable)))\n", + " missing = pd.Series(\n", + " index=idx_missing_intable,\n", + " name='taxonomy',\n", + " data='k__missing_lineage_information')\n", + " taxonomy = taxonomy.append(missing)\n", + " idx_missing_intaxonomy = set(taxonomy.index) - set(table.index)\n", + " if (len(idx_missing_intaxonomy) > 0) and err:\n", + " err.write(('Warning: following %i taxa are not in the '\n", + " 'provided count table, but in taxonomy:\\n%s\\n') % (\n", + " len(idx_missing_intaxonomy),\n", + " \", \".join(idx_missing_intaxonomy)))\n", + "\n", + " t = dict()\n", + " for taxon, linstr in taxonomy.iteritems():\n", + " # fill missing rank annotations with rank__\n", + " orig_lineage = {annot[0].lower(): annot\n", + " for annot\n", + " in (map(str.strip, linstr.split(';')))}\n", + " lineage = []\n", + " for rank in settings.RANKS:\n", + " rank_char = rank[0].lower()\n", + " if rank_char in orig_lineage:\n", + " lineage.append(orig_lineage[rank_char])\n", + " else:\n", + " lineage.append(rank_char+'__')\n", + " t[taxon] = {'taxonomy': \";\".join(lineage)}\n", + " bt.add_metadata(t, axis='observation')\n", + "\n", + " with biom_open(file_biom, 'w') as f:\n", + " bt.to_hdf5(f, \"example\")\n", + " except IOError:\n", + " raise IOError('Cannot write to file \"%s\"' % file_biom)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Balance_88soils" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(7396, 89)" + ] + }, + "execution_count": 19, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "soils_biom = biom2pandas('../data_application/88soils/238_otu_table.biom')\n", + "soils_biom.shape" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
    \n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
    103.CA2103.CO3103.SR3103.IE2103.BP1103.VC2103.SA2103.GB2103.CO2103.KP1...103.LQ1103.HI1103.RT1103.HI2103.DF1103.CF3103.AR1103.TL1103.HI4103.BB1
    11247011514181376322...0000000000
    2443360001000000...0000000000
    9731240000000001...0000000000
    \n", + "

    3 rows × 89 columns

    \n", + "
    " + ], + "text/plain": [ + " 103.CA2 103.CO3 103.SR3 103.IE2 103.BP1 103.VC2 103.SA2 \\\n", + "1124701 15 14 1 8 13 7 6 \n", + "244336 0 0 0 1 0 0 0 \n", + "973124 0 0 0 0 0 0 0 \n", + "\n", + " 103.GB2 103.CO2 103.KP1 ... 103.LQ1 103.HI1 103.RT1 103.HI2 \\\n", + "1124701 3 2 2 ... 0 0 0 0 \n", + "244336 0 0 0 ... 0 0 0 0 \n", + "973124 0 0 1 ... 0 0 0 0 \n", + "\n", + " 103.DF1 103.CF3 103.AR1 103.TL1 103.HI4 103.BB1 \n", + "1124701 0 0 0 0 0 0 \n", + "244336 0 0 0 0 0 0 \n", + "973124 0 0 0 0 0 0 \n", + "\n", + "[3 rows x 89 columns]" + ] + }, + "execution_count": 20, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "soils_biom.head(3)" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(7396, 1)" + ] + }, + "execution_count": 21, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "soils_taxa = pd.read_csv('../data_application/88soils/88soils_taxonomy.txt', sep='\\t', index_col='Feature ID')\n", + "soils_taxa.shape" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
    \n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
    Taxon
    Feature ID
    1000512k__Bacteria;p__Actinobacteria;c__Thermoleophil...
    1000547k__Bacteria;p__Firmicutes;c__Bacilli;o__Lactob...
    1000654k__Bacteria;p__Bacteroidetes;c__Sphingobacteri...
    \n", + "
    " + ], + "text/plain": [ + " Taxon\n", + "Feature ID \n", + "1000512 k__Bacteria;p__Actinobacteria;c__Thermoleophil...\n", + "1000547 k__Bacteria;p__Firmicutes;c__Bacilli;o__Lactob...\n", + "1000654 k__Bacteria;p__Bacteroidetes;c__Sphingobacteri..." + ] + }, + "execution_count": 22, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "soils_taxa.head(3)" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
    \n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
    0123456
    Feature ID
    1000512k__Bacteriap__Actinobacteriac__Thermoleophiliao__Gaiellalesf__Gaiellaceaeg__s__
    1000547k__Bacteriap__Firmicutesc__Bacillio__Lactobacillalesf__Streptococcaceaeg__Streptococcuss__
    1000654k__Bacteriap__Bacteroidetesc__Sphingobacteriiao__Sphingobacterialesf__Sphingobacteriaceaeg__s__
    1000757k__Bacteriap__Proteobacteriac__Alphaproteobacteriao__Rhizobialesf__Bradyrhizobiaceaeg__s__
    1000876k__Bacteriap__Actinobacteriac__Actinobacteriao__Actinomycetalesf__Nocardioidaceaeg__Nocardioidess__
    \n", + "
    " + ], + "text/plain": [ + " 0 1 2 \\\n", + "Feature ID \n", + "1000512 k__Bacteria p__Actinobacteria c__Thermoleophilia \n", + "1000547 k__Bacteria p__Firmicutes c__Bacilli \n", + "1000654 k__Bacteria p__Bacteroidetes c__Sphingobacteriia \n", + "1000757 k__Bacteria p__Proteobacteria c__Alphaproteobacteria \n", + "1000876 k__Bacteria p__Actinobacteria c__Actinobacteria \n", + "\n", + " 3 4 5 \\\n", + "Feature ID \n", + "1000512 o__Gaiellales f__Gaiellaceae g__ \n", + "1000547 o__Lactobacillales f__Streptococcaceae g__Streptococcus \n", + "1000654 o__Sphingobacteriales f__Sphingobacteriaceae g__ \n", + "1000757 o__Rhizobiales f__Bradyrhizobiaceae g__ \n", + "1000876 o__Actinomycetales f__Nocardioidaceae g__Nocardioides \n", + "\n", + " 6 \n", + "Feature ID \n", + "1000512 s__ \n", + "1000547 s__ \n", + "1000654 s__ \n", + "1000757 s__ \n", + "1000876 s__ " + ] + }, + "execution_count": 23, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "taxa_new = soils_taxa.Taxon.str.split(pat=\";\", expand=True)\n", + "taxa_new.head(5)\n", + "# ref: https://www.geeksforgeeks.org/python-pandas-split-strings-into-two-list-columns-using-str-split/" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
    \n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
    TaxonGenus
    Feature ID
    1000512k__Bacteria;p__Actinobacteria;c__Thermoleophil...g__
    1000547k__Bacteria;p__Firmicutes;c__Bacilli;o__Lactob...g__Streptococcus
    1000654k__Bacteria;p__Bacteroidetes;c__Sphingobacteri...g__
    1000757k__Bacteria;p__Proteobacteria;c__Alphaproteoba...g__
    1000876k__Bacteria;p__Actinobacteria;c__Actinobacteri...g__Nocardioides
    \n", + "
    " + ], + "text/plain": [ + " Taxon \\\n", + "Feature ID \n", + "1000512 k__Bacteria;p__Actinobacteria;c__Thermoleophil... \n", + "1000547 k__Bacteria;p__Firmicutes;c__Bacilli;o__Lactob... \n", + "1000654 k__Bacteria;p__Bacteroidetes;c__Sphingobacteri... \n", + "1000757 k__Bacteria;p__Proteobacteria;c__Alphaproteoba... \n", + "1000876 k__Bacteria;p__Actinobacteria;c__Actinobacteri... \n", + "\n", + " Genus \n", + "Feature ID \n", + "1000512 g__ \n", + "1000547 g__Streptococcus \n", + "1000654 g__ \n", + "1000757 g__ \n", + "1000876 g__Nocardioides " + ] + }, + "execution_count": 24, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "soils_taxa['Genus'] = taxa_new[5]\n", + "soils_taxa.head(5)" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "g__ 5213\n", + "g__Rhodoplanes 144\n", + "g__Bacillus 110\n", + "g__Candidatus Solibacter 100\n", + "g__Flavobacterium 71\n", + " ... \n", + "g__Rhodocyclus 1\n", + "g__Marinobacter 1\n", + "g__Afipia 1\n", + "g__Candidatus Amoebophilus 1\n", + "g__Desulfotomaculum 1\n", + "Name: Genus, Length: 335, dtype: int64" + ] + }, + "execution_count": 26, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "soils_taxa.Genus.value_counts()" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(2183, 2)" + ] + }, + "execution_count": 27, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# only keep those with genus assignment\n", + "soils_taxa_sub = soils_taxa[soils_taxa.Genus != 'g__']\n", + "soils_taxa_sub.shape" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
    \n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
    TaxonGenus
    Feature ID
    1000547k__Bacteria;p__Firmicutes;c__Bacilli;o__Lactob...g__Streptococcus
    1000876k__Bacteria;p__Actinobacteria;c__Actinobacteri...g__Nocardioides
    1003206k__Bacteria;p__Proteobacteria;c__Alphaproteoba...g__Sphingomonas
    \n", + "
    " + ], + "text/plain": [ + " Taxon \\\n", + "Feature ID \n", + "1000547 k__Bacteria;p__Firmicutes;c__Bacilli;o__Lactob... \n", + "1000876 k__Bacteria;p__Actinobacteria;c__Actinobacteri... \n", + "1003206 k__Bacteria;p__Proteobacteria;c__Alphaproteoba... \n", + "\n", + " Genus \n", + "Feature ID \n", + "1000547 g__Streptococcus \n", + "1000876 g__Nocardioides \n", + "1003206 g__Sphingomonas " + ] + }, + "execution_count": 28, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "soils_taxa_sub.head(3)" + ] + }, + { + "cell_type": "code", + "execution_count": 39, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(2183, 91)" + ] + }, + "execution_count": 39, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# partition biom table \n", + "soils_biom.index = soils_biom.index.astype('int64') \n", + "soils_biom_sub = soils_biom.merge(soils_taxa_sub, how='inner', left_index=True, right_index=True)\n", + "soils_biom_sub.shape" + ] + }, + { + "cell_type": "code", + "execution_count": 40, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
    \n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
    103.CA2103.CO3103.SR3103.IE2103.BP1103.VC2103.SA2103.GB2103.CO2103.KP1...103.RT1103.HI2103.DF1103.CF3103.AR1103.TL1103.HI4103.BB1TaxonGenus
    2443360001000000...00000000k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacill...g__Paenibacillus
    8094890000000100...00000000k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacill...g__Bacillus
    5336250000000000...00000000k__Bacteria;p__Proteobacteria;c__Alphaproteoba...g__Novosphingobium
    \n", + "

    3 rows × 91 columns

    \n", + "
    " + ], + "text/plain": [ + " 103.CA2 103.CO3 103.SR3 103.IE2 103.BP1 103.VC2 103.SA2 \\\n", + "244336 0 0 0 1 0 0 0 \n", + "809489 0 0 0 0 0 0 0 \n", + "533625 0 0 0 0 0 0 0 \n", + "\n", + " 103.GB2 103.CO2 103.KP1 ... 103.RT1 103.HI2 103.DF1 103.CF3 \\\n", + "244336 0 0 0 ... 0 0 0 0 \n", + "809489 1 0 0 ... 0 0 0 0 \n", + "533625 0 0 0 ... 0 0 0 0 \n", + "\n", + " 103.AR1 103.TL1 103.HI4 103.BB1 \\\n", + "244336 0 0 0 0 \n", + "809489 0 0 0 0 \n", + "533625 0 0 0 0 \n", + "\n", + " Taxon Genus \n", + "244336 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacill... g__Paenibacillus \n", + "809489 k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacill... g__Bacillus \n", + "533625 k__Bacteria;p__Proteobacteria;c__Alphaproteoba... g__Novosphingobium \n", + "\n", + "[3 rows x 91 columns]" + ] + }, + "execution_count": 40, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "soils_biom_sub.head(3)" + ] + }, + { + "cell_type": "code", + "execution_count": 41, + "metadata": {}, + "outputs": [], + "source": [ + "soils_biom_sub.set_index('Taxon', inplace=True)\n", + "soils_biom_sub.drop(['Genus'], axis=1, inplace=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 42, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(2183, 89)" + ] + }, + "execution_count": 42, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "soils_biom_sub.shape" + ] + }, + { + "cell_type": "code", + "execution_count": 43, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
    \n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
    103.CA2103.CO3103.SR3103.IE2103.BP1103.VC2103.SA2103.GB2103.CO2103.KP1...103.LQ1103.HI1103.RT1103.HI2103.DF1103.CF3103.AR1103.TL1103.HI4103.BB1
    Taxon
    k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Paenibacillaceae;g__Paenibacillus;s__0001000000...0000000000
    k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__muralis0000000100...0000000000
    k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Novosphingobium;s__0000000000...0000000000
    \n", + "

    3 rows × 89 columns

    \n", + "
    " + ], + "text/plain": [ + " 103.CA2 103.CO3 103.SR3 \\\n", + "Taxon \n", + "k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacilla... 0 0 0 \n", + "k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacilla... 0 0 0 \n", + "k__Bacteria;p__Proteobacteria;c__Alphaproteobac... 0 0 0 \n", + "\n", + " 103.IE2 103.BP1 103.VC2 \\\n", + "Taxon \n", + "k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacilla... 1 0 0 \n", + "k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacilla... 0 0 0 \n", + "k__Bacteria;p__Proteobacteria;c__Alphaproteobac... 0 0 0 \n", + "\n", + " 103.SA2 103.GB2 103.CO2 \\\n", + "Taxon \n", + "k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacilla... 0 0 0 \n", + "k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacilla... 0 1 0 \n", + "k__Bacteria;p__Proteobacteria;c__Alphaproteobac... 0 0 0 \n", + "\n", + " 103.KP1 ... 103.LQ1 \\\n", + "Taxon ... \n", + "k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacilla... 0 ... 0 \n", + "k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacilla... 0 ... 0 \n", + "k__Bacteria;p__Proteobacteria;c__Alphaproteobac... 0 ... 0 \n", + "\n", + " 103.HI1 103.RT1 103.HI2 \\\n", + "Taxon \n", + "k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacilla... 0 0 0 \n", + "k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacilla... 0 0 0 \n", + "k__Bacteria;p__Proteobacteria;c__Alphaproteobac... 0 0 0 \n", + "\n", + " 103.DF1 103.CF3 103.AR1 \\\n", + "Taxon \n", + "k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacilla... 0 0 0 \n", + "k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacilla... 0 0 0 \n", + "k__Bacteria;p__Proteobacteria;c__Alphaproteobac... 0 0 0 \n", + "\n", + " 103.TL1 103.HI4 103.BB1 \n", + "Taxon \n", + "k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacilla... 0 0 0 \n", + "k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacilla... 0 0 0 \n", + "k__Bacteria;p__Proteobacteria;c__Alphaproteobac... 0 0 0 \n", + "\n", + "[3 rows x 89 columns]" + ] + }, + "execution_count": 43, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "soils_biom_sub.head(3)" + ] + }, + { + "cell_type": "code", + "execution_count": 44, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(89, 2183)" + ] + }, + "execution_count": 44, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# transpose the dataframe \n", + "soils_biom_sub_t = soils_biom_sub.T\n", + "soils_biom_sub_t.shape" + ] + }, + { + "cell_type": "code", + "execution_count": 45, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
    \n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
    Taxonk__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Paenibacillaceae;g__Paenibacillus;s__k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__muralisk__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Novosphingobium;s__k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Nocardioidaceae;g__Nocardioides;s__k__Bacteria;p__Bacteroidetes;c__Flavobacteriia;o__Flavobacteriales;f__Flavobacteriaceae;g__Flavobacterium;s__k__Bacteria;p__Firmicutes;c__Clostridia;o__Clostridiales;f__Peptococcaceae;g__Desulfotomaculum;s__k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__Candidatus Koribacter;s__k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__Methylibium;s__...k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__Rhodoferax;s__k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Xanthomonadaceae;g__Dokdonella;s__k__Bacteria;p__Firmicutes;c__Bacilli;o__Lactobacillales;f__Streptococcaceae;g__Streptococcus;s__k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Methylophilales;f__Methylophilaceae;g__Methylotenera;s__mobilisk__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Streptomycetaceae;g__Streptomyces;s__k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Xanthomonadaceae;g__Luteimonas;s__k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Planococcaceae;g__Solibacillus;s__k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__Ramlibacter;s__k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Mycobacteriaceae;g__Mycobacterium;s__
    103.CA20000000000...0000000000
    103.CO30000000000...0000000001
    103.SR30000000000...0100000011
    \n", + "

    3 rows × 2183 columns

    \n", + "
    " + ], + "text/plain": [ + "Taxon k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Paenibacillaceae;g__Paenibacillus;s__ \\\n", + "103.CA2 0 \n", + "103.CO3 0 \n", + "103.SR3 0 \n", + "\n", + "Taxon k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Bacillaceae;g__Bacillus;s__muralis \\\n", + "103.CA2 0 \n", + "103.CO3 0 \n", + "103.SR3 0 \n", + "\n", + "Taxon k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Sphingomonadales;f__Sphingomonadaceae;g__Novosphingobium;s__ \\\n", + "103.CA2 0 \n", + "103.CO3 0 \n", + "103.SR3 0 \n", + "\n", + "Taxon k__Bacteria;p__Acidobacteria;c__Solibacteres;o__Solibacterales;f__Solibacteraceae;g__Candidatus Solibacter;s__ \\\n", + "103.CA2 0 \n", + "103.CO3 0 \n", + "103.SR3 0 \n", + "\n", + "Taxon k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ \\\n", + "103.CA2 0 \n", + "103.CO3 0 \n", + "103.SR3 0 \n", + "\n", + "Taxon k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Nocardioidaceae;g__Nocardioides;s__ \\\n", + "103.CA2 0 \n", + "103.CO3 0 \n", + "103.SR3 0 \n", + "\n", + "Taxon k__Bacteria;p__Bacteroidetes;c__Flavobacteriia;o__Flavobacteriales;f__Flavobacteriaceae;g__Flavobacterium;s__ \\\n", + "103.CA2 0 \n", + "103.CO3 0 \n", + "103.SR3 0 \n", + "\n", + "Taxon k__Bacteria;p__Firmicutes;c__Clostridia;o__Clostridiales;f__Peptococcaceae;g__Desulfotomaculum;s__ \\\n", + "103.CA2 0 \n", + "103.CO3 0 \n", + "103.SR3 0 \n", + "\n", + "Taxon k__Bacteria;p__Acidobacteria;c__Acidobacteriia;o__Acidobacteriales;f__Koribacteraceae;g__Candidatus Koribacter;s__ \\\n", + "103.CA2 0 \n", + "103.CO3 0 \n", + "103.SR3 0 \n", + "\n", + "Taxon k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__Methylibium;s__ \\\n", + "103.CA2 0 \n", + "103.CO3 0 \n", + "103.SR3 0 \n", + "\n", + "Taxon ... \\\n", + "103.CA2 ... \n", + "103.CO3 ... \n", + "103.SR3 ... \n", + "\n", + "Taxon k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__Rhodoferax;s__ \\\n", + "103.CA2 0 \n", + "103.CO3 0 \n", + "103.SR3 0 \n", + "\n", + "Taxon k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Xanthomonadaceae;g__Dokdonella;s__ \\\n", + "103.CA2 0 \n", + "103.CO3 0 \n", + "103.SR3 1 \n", + "\n", + "Taxon k__Bacteria;p__Firmicutes;c__Bacilli;o__Lactobacillales;f__Streptococcaceae;g__Streptococcus;s__ \\\n", + "103.CA2 0 \n", + "103.CO3 0 \n", + "103.SR3 0 \n", + "\n", + "Taxon k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Methylophilales;f__Methylophilaceae;g__Methylotenera;s__mobilis \\\n", + "103.CA2 0 \n", + "103.CO3 0 \n", + "103.SR3 0 \n", + "\n", + "Taxon k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Streptomycetaceae;g__Streptomyces;s__ \\\n", + "103.CA2 0 \n", + "103.CO3 0 \n", + "103.SR3 0 \n", + "\n", + "Taxon k__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Xanthomonadales;f__Xanthomonadaceae;g__Luteimonas;s__ \\\n", + "103.CA2 0 \n", + "103.CO3 0 \n", + "103.SR3 0 \n", + "\n", + "Taxon k__Bacteria;p__Proteobacteria;c__Alphaproteobacteria;o__Rhizobiales;f__Hyphomicrobiaceae;g__Rhodoplanes;s__ \\\n", + "103.CA2 0 \n", + "103.CO3 0 \n", + "103.SR3 0 \n", + "\n", + "Taxon k__Bacteria;p__Firmicutes;c__Bacilli;o__Bacillales;f__Planococcaceae;g__Solibacillus;s__ \\\n", + "103.CA2 0 \n", + "103.CO3 0 \n", + "103.SR3 0 \n", + "\n", + "Taxon k__Bacteria;p__Proteobacteria;c__Betaproteobacteria;o__Burkholderiales;f__Comamonadaceae;g__Ramlibacter;s__ \\\n", + "103.CA2 0 \n", + "103.CO3 0 \n", + "103.SR3 1 \n", + "\n", + "Taxon k__Bacteria;p__Actinobacteria;c__Actinobacteria;o__Actinomycetales;f__Mycobacteriaceae;g__Mycobacterium;s__ \n", + "103.CA2 0 \n", + "103.CO3 1 \n", + "103.SR3 1 \n", + "\n", + "[3 rows x 2183 columns]" + ] + }, + "execution_count": 45, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "soils_biom_sub_t.head(3)" + ] + }, + { + "cell_type": "code", + "execution_count": 46, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "count 89.000000\n", + "mean 275.932584\n", + "std 115.508244\n", + "min 1.000000\n", + "25% 213.000000\n", + "50% 254.000000\n", + "75% 319.000000\n", + "max 805.000000\n", + "dtype: float64" + ] + }, + "execution_count": 46, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# make sure that each genus exist in at least one sample\n", + "soils_biom_sub_t.sum(axis=1).describe() # column sum" + ] + }, + { + "cell_type": "code", + "execution_count": 47, + "metadata": {}, + "outputs": [], + "source": [ + "# export\n", + "soils_biom_sub_t.to_csv('../data_application/88soils/88soils_genus_table.txt', sep='\\t')" + ] + }, + { + "cell_type": "code", + "execution_count": 48, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "count 2183.000000\n", + "mean 11.249656\n", + "std 33.869668\n", + "min 1.000000\n", + "25% 1.000000\n", + "50% 3.000000\n", + "75% 8.000000\n", + "max 690.000000\n", + "dtype: float64" + ] + }, + "execution_count": 48, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# check that not rarefied\n", + "soils_biom_sub_t.sum(axis=0).describe() # row sum" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.7.6" + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} diff --git a/data_application/notebooks_application/4.1. 88soils_DataPreparation_ParameterGrid.ipynb b/data_application/notebooks_application/4.1. 88soils_DataPreparation_ParameterGrid.ipynb new file mode 100644 index 0000000..7d28c4b --- /dev/null +++ b/data_application/notebooks_application/4.1. 88soils_DataPreparation_ParameterGrid.ipynb @@ -0,0 +1,1121 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "load('../data_application/88soils/88soils_genus_table.RData')" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
      \n", + "\t
    1. 89
      2. \n", + "\t
    2. 2183
      3. \n", + "
    \n" + ], + "text/latex": [ + "\\begin{enumerate*}\n", + "\\item 89\n", + "\\item 2183\n", + "\\end{enumerate*}\n" + ], + "text/markdown": [ + "1. 89\n", + "2. 2183\n", + "\n", + "\n" + ], + "text/plain": [ + "[1] 89 2183" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "count = soil_otu\n", + "dim(count)" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", + "\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\n", + "
    k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Paenibacillaceae.g__Paenibacillus.s__k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__muralisk__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Novosphingobium.s__k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Nocardioidaceae.g__Nocardioides.s__k__Bacteria.p__Bacteroidetes.c__Flavobacteriia.o__Flavobacteriales.f__Flavobacteriaceae.g__Flavobacterium.s__k__Bacteria.p__Firmicutes.c__Clostridia.o__Clostridiales.f__Peptococcaceae.g__Desulfotomaculum.s__k__Bacteria.p__Acidobacteria.c__Acidobacteriia.o__Acidobacteriales.f__Koribacteraceae.g__Candidatus.Koribacter.s__k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Comamonadaceae.g__Methylibium.s__...k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Comamonadaceae.g__Rhodoferax.s__.4k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Xanthomonadales.f__Xanthomonadaceae.g__Dokdonella.s__.9k__Bacteria.p__Firmicutes.c__Bacilli.o__Lactobacillales.f__Streptococcaceae.g__Streptococcus.s__.9k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Methylophilales.f__Methylophilaceae.g__Methylotenera.s__mobilis.2k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Streptomycetaceae.g__Streptomyces.s__.44k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Xanthomonadales.f__Xanthomonadaceae.g__Luteimonas.s__.2k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.142k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Planococcaceae.g__Solibacillus.s__.3k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Comamonadaceae.g__Ramlibacter.s__.9k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Mycobacteriaceae.g__Mycobacterium.s__.28
    103.CA20 0 0 0 0 0 0 0 0 0 ...0 0 0 0 0 0 0 0 0 0
    103.CO30 0 0 0 0 0 0 0 0 0 ...0 0 0 0 0 0 0 0 0 1
    103.SR30 0 0 0 0 0 0 0 0 0 ...0 1 0 0 0 0 0 0 1 1
    103.IE21 0 0 0 0 0 0 0 0 0 ...0 0 0 0 0 0 2 0 0 1
    103.BP10 0 0 0 0 0 0 0 0 0 ...0 0 0 0 0 0 0 0 0 1
    103.VC20 0 0 0 0 0 0 0 0 2 ...0 0 0 0 0 0 0 0 0 1
    \n" + ], + "text/latex": [ + "\\begin{tabular}{r|lllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllll}\n", + " & k\\_\\_Bacteria.p\\_\\_Firmicutes.c\\_\\_Bacilli.o\\_\\_Bacillales.f\\_\\_Paenibacillaceae.g\\_\\_Paenibacillus.s\\_\\_ & k\\_\\_Bacteria.p\\_\\_Firmicutes.c\\_\\_Bacilli.o\\_\\_Bacillales.f\\_\\_Bacillaceae.g\\_\\_Bacillus.s\\_\\_muralis & k\\_\\_Bacteria.p\\_\\_Proteobacteria.c\\_\\_Alphaproteobacteria.o\\_\\_Sphingomonadales.f\\_\\_Sphingomonadaceae.g\\_\\_Novosphingobium.s\\_\\_ & k\\_\\_Bacteria.p\\_\\_Acidobacteria.c\\_\\_Solibacteres.o\\_\\_Solibacterales.f\\_\\_Solibacteraceae.g\\_\\_Candidatus.Solibacter.s\\_\\_ & k\\_\\_Bacteria.p\\_\\_Proteobacteria.c\\_\\_Alphaproteobacteria.o\\_\\_Rhizobiales.f\\_\\_Hyphomicrobiaceae.g\\_\\_Rhodoplanes.s\\_\\_ & k\\_\\_Bacteria.p\\_\\_Actinobacteria.c\\_\\_Actinobacteria.o\\_\\_Actinomycetales.f\\_\\_Nocardioidaceae.g\\_\\_Nocardioides.s\\_\\_ & k\\_\\_Bacteria.p\\_\\_Bacteroidetes.c\\_\\_Flavobacteriia.o\\_\\_Flavobacteriales.f\\_\\_Flavobacteriaceae.g\\_\\_Flavobacterium.s\\_\\_ & k\\_\\_Bacteria.p\\_\\_Firmicutes.c\\_\\_Clostridia.o\\_\\_Clostridiales.f\\_\\_Peptococcaceae.g\\_\\_Desulfotomaculum.s\\_\\_ & k\\_\\_Bacteria.p\\_\\_Acidobacteria.c\\_\\_Acidobacteriia.o\\_\\_Acidobacteriales.f\\_\\_Koribacteraceae.g\\_\\_Candidatus.Koribacter.s\\_\\_ & k\\_\\_Bacteria.p\\_\\_Proteobacteria.c\\_\\_Betaproteobacteria.o\\_\\_Burkholderiales.f\\_\\_Comamonadaceae.g\\_\\_Methylibium.s\\_\\_ & ... & k\\_\\_Bacteria.p\\_\\_Proteobacteria.c\\_\\_Betaproteobacteria.o\\_\\_Burkholderiales.f\\_\\_Comamonadaceae.g\\_\\_Rhodoferax.s\\_\\_.4 & k\\_\\_Bacteria.p\\_\\_Proteobacteria.c\\_\\_Gammaproteobacteria.o\\_\\_Xanthomonadales.f\\_\\_Xanthomonadaceae.g\\_\\_Dokdonella.s\\_\\_.9 & k\\_\\_Bacteria.p\\_\\_Firmicutes.c\\_\\_Bacilli.o\\_\\_Lactobacillales.f\\_\\_Streptococcaceae.g\\_\\_Streptococcus.s\\_\\_.9 & k\\_\\_Bacteria.p\\_\\_Proteobacteria.c\\_\\_Betaproteobacteria.o\\_\\_Methylophilales.f\\_\\_Methylophilaceae.g\\_\\_Methylotenera.s\\_\\_mobilis.2 & k\\_\\_Bacteria.p\\_\\_Actinobacteria.c\\_\\_Actinobacteria.o\\_\\_Actinomycetales.f\\_\\_Streptomycetaceae.g\\_\\_Streptomyces.s\\_\\_.44 & k\\_\\_Bacteria.p\\_\\_Proteobacteria.c\\_\\_Gammaproteobacteria.o\\_\\_Xanthomonadales.f\\_\\_Xanthomonadaceae.g\\_\\_Luteimonas.s\\_\\_.2 & k\\_\\_Bacteria.p\\_\\_Proteobacteria.c\\_\\_Alphaproteobacteria.o\\_\\_Rhizobiales.f\\_\\_Hyphomicrobiaceae.g\\_\\_Rhodoplanes.s\\_\\_.142 & k\\_\\_Bacteria.p\\_\\_Firmicutes.c\\_\\_Bacilli.o\\_\\_Bacillales.f\\_\\_Planococcaceae.g\\_\\_Solibacillus.s\\_\\_.3 & k\\_\\_Bacteria.p\\_\\_Proteobacteria.c\\_\\_Betaproteobacteria.o\\_\\_Burkholderiales.f\\_\\_Comamonadaceae.g\\_\\_Ramlibacter.s\\_\\_.9 & k\\_\\_Bacteria.p\\_\\_Actinobacteria.c\\_\\_Actinobacteria.o\\_\\_Actinomycetales.f\\_\\_Mycobacteriaceae.g\\_\\_Mycobacterium.s\\_\\_.28\\\\\n", + "\\hline\n", + "\t103.CA2 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & ... & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 \\\\\n", + "\t103.CO3 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & ... & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 1 \\\\\n", + "\t103.SR3 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & ... & 0 & 1 & 0 & 0 & 0 & 0 & 0 & 0 & 1 & 1 \\\\\n", + "\t103.IE2 & 1 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & ... & 0 & 0 & 0 & 0 & 0 & 0 & 2 & 0 & 0 & 1 \\\\\n", + "\t103.BP1 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & ... & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 1 \\\\\n", + "\t103.VC2 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 2 & ... & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 1 \\\\\n", + "\\end{tabular}\n" + ], + "text/markdown": [ + "\n", + "| | k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Paenibacillaceae.g__Paenibacillus.s__ | k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__muralis | k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Novosphingobium.s__ | k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__ | k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__ | k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Nocardioidaceae.g__Nocardioides.s__ | k__Bacteria.p__Bacteroidetes.c__Flavobacteriia.o__Flavobacteriales.f__Flavobacteriaceae.g__Flavobacterium.s__ | k__Bacteria.p__Firmicutes.c__Clostridia.o__Clostridiales.f__Peptococcaceae.g__Desulfotomaculum.s__ | k__Bacteria.p__Acidobacteria.c__Acidobacteriia.o__Acidobacteriales.f__Koribacteraceae.g__Candidatus.Koribacter.s__ | k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Comamonadaceae.g__Methylibium.s__ | ... | k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Comamonadaceae.g__Rhodoferax.s__.4 | k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Xanthomonadales.f__Xanthomonadaceae.g__Dokdonella.s__.9 | k__Bacteria.p__Firmicutes.c__Bacilli.o__Lactobacillales.f__Streptococcaceae.g__Streptococcus.s__.9 | k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Methylophilales.f__Methylophilaceae.g__Methylotenera.s__mobilis.2 | k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Streptomycetaceae.g__Streptomyces.s__.44 | k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Xanthomonadales.f__Xanthomonadaceae.g__Luteimonas.s__.2 | k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.142 | k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Planococcaceae.g__Solibacillus.s__.3 | k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Comamonadaceae.g__Ramlibacter.s__.9 | k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Mycobacteriaceae.g__Mycobacterium.s__.28 |\n", + "|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n", + "| 103.CA2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n", + "| 103.CO3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |\n", + "| 103.SR3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ... | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 |\n", + "| 103.IE2 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ... | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 1 |\n", + "| 103.BP1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |\n", + "| 103.VC2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | ... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |\n", + "\n" + ], + "text/plain": [ + " k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Paenibacillaceae.g__Paenibacillus.s__\n", + "103.CA2 0 \n", + "103.CO3 0 \n", + "103.SR3 0 \n", + "103.IE2 1 \n", + "103.BP1 0 \n", + "103.VC2 0 \n", + " k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__muralis\n", + "103.CA2 0 \n", + "103.CO3 0 \n", + "103.SR3 0 \n", + "103.IE2 0 \n", + "103.BP1 0 \n", + "103.VC2 0 \n", + " k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Novosphingobium.s__\n", + "103.CA2 0 \n", + "103.CO3 0 \n", + "103.SR3 0 \n", + "103.IE2 0 \n", + "103.BP1 0 \n", + "103.VC2 0 \n", + " k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__\n", + "103.CA2 0 \n", + "103.CO3 0 \n", + "103.SR3 0 \n", + "103.IE2 0 \n", + "103.BP1 0 \n", + "103.VC2 0 \n", + " k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__\n", + "103.CA2 0 \n", + "103.CO3 0 \n", + "103.SR3 0 \n", + "103.IE2 0 \n", + "103.BP1 0 \n", + "103.VC2 0 \n", + " k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Nocardioidaceae.g__Nocardioides.s__\n", + "103.CA2 0 \n", + "103.CO3 0 \n", + "103.SR3 0 \n", + "103.IE2 0 \n", + "103.BP1 0 \n", + "103.VC2 0 \n", + " k__Bacteria.p__Bacteroidetes.c__Flavobacteriia.o__Flavobacteriales.f__Flavobacteriaceae.g__Flavobacterium.s__\n", + "103.CA2 0 \n", + "103.CO3 0 \n", + "103.SR3 0 \n", + "103.IE2 0 \n", + "103.BP1 0 \n", + "103.VC2 0 \n", + " k__Bacteria.p__Firmicutes.c__Clostridia.o__Clostridiales.f__Peptococcaceae.g__Desulfotomaculum.s__\n", + "103.CA2 0 \n", + "103.CO3 0 \n", + "103.SR3 0 \n", + "103.IE2 0 \n", + "103.BP1 0 \n", + "103.VC2 0 \n", + " k__Bacteria.p__Acidobacteria.c__Acidobacteriia.o__Acidobacteriales.f__Koribacteraceae.g__Candidatus.Koribacter.s__\n", + "103.CA2 0 \n", + "103.CO3 0 \n", + "103.SR3 0 \n", + "103.IE2 0 \n", + "103.BP1 0 \n", + "103.VC2 0 \n", + " k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Comamonadaceae.g__Methylibium.s__\n", + "103.CA2 0 \n", + "103.CO3 0 \n", + "103.SR3 0 \n", + "103.IE2 0 \n", + "103.BP1 0 \n", + "103.VC2 2 \n", + " ...\n", + "103.CA2 ...\n", + "103.CO3 ...\n", + "103.SR3 ...\n", + "103.IE2 ...\n", + "103.BP1 ...\n", + "103.VC2 ...\n", + " k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Comamonadaceae.g__Rhodoferax.s__.4\n", + "103.CA2 0 \n", + "103.CO3 0 \n", + "103.SR3 0 \n", + "103.IE2 0 \n", + "103.BP1 0 \n", + "103.VC2 0 \n", + " k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Xanthomonadales.f__Xanthomonadaceae.g__Dokdonella.s__.9\n", + "103.CA2 0 \n", + "103.CO3 0 \n", + "103.SR3 1 \n", + "103.IE2 0 \n", + "103.BP1 0 \n", + "103.VC2 0 \n", + " k__Bacteria.p__Firmicutes.c__Bacilli.o__Lactobacillales.f__Streptococcaceae.g__Streptococcus.s__.9\n", + "103.CA2 0 \n", + "103.CO3 0 \n", + "103.SR3 0 \n", + "103.IE2 0 \n", + "103.BP1 0 \n", + "103.VC2 0 \n", + " k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Methylophilales.f__Methylophilaceae.g__Methylotenera.s__mobilis.2\n", + "103.CA2 0 \n", + "103.CO3 0 \n", + "103.SR3 0 \n", + "103.IE2 0 \n", + "103.BP1 0 \n", + "103.VC2 0 \n", + " k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Streptomycetaceae.g__Streptomyces.s__.44\n", + "103.CA2 0 \n", + "103.CO3 0 \n", + "103.SR3 0 \n", + "103.IE2 0 \n", + "103.BP1 0 \n", + "103.VC2 0 \n", + " k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Xanthomonadales.f__Xanthomonadaceae.g__Luteimonas.s__.2\n", + "103.CA2 0 \n", + "103.CO3 0 \n", + "103.SR3 0 \n", + "103.IE2 0 \n", + "103.BP1 0 \n", + "103.VC2 0 \n", + " k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.142\n", + "103.CA2 0 \n", + "103.CO3 0 \n", + "103.SR3 0 \n", + "103.IE2 2 \n", + "103.BP1 0 \n", + "103.VC2 0 \n", + " k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Planococcaceae.g__Solibacillus.s__.3\n", + "103.CA2 0 \n", + "103.CO3 0 \n", + "103.SR3 0 \n", + "103.IE2 0 \n", + "103.BP1 0 \n", + "103.VC2 0 \n", + " k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Comamonadaceae.g__Ramlibacter.s__.9\n", + "103.CA2 0 \n", + "103.CO3 0 \n", + "103.SR3 1 \n", + "103.IE2 0 \n", + "103.BP1 0 \n", + "103.VC2 0 \n", + " k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Mycobacteriaceae.g__Mycobacterium.s__.28\n", + "103.CA2 0 \n", + "103.CO3 1 \n", + "103.SR3 1 \n", + "103.IE2 1 \n", + "103.BP1 1 \n", + "103.VC2 1 " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "head(count)" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
      \n", + "\t
    1. 89
      2. \n", + "\t
    2. 2183
      3. \n", + "
    \n" + ], + "text/latex": [ + "\\begin{enumerate*}\n", + "\\item 89\n", + "\\item 2183\n", + "\\end{enumerate*}\n" + ], + "text/markdown": [ + "1. 89\n", + "2. 2183\n", + "\n", + "\n" + ], + "text/plain": [ + "[1] 89 2183" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "dim(count[, colMeans(count > 0) >= 0.5/100]) # 0.5%" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
      \n", + "\t
    1. 89
      2. \n", + "\t
    2. 2183
      3. \n", + "
    \n" + ], + "text/latex": [ + "\\begin{enumerate*}\n", + "\\item 89\n", + "\\item 2183\n", + "\\end{enumerate*}\n" + ], + "text/markdown": [ + "1. 89\n", + "2. 2183\n", + "\n", + "\n" + ], + "text/plain": [ + "[1] 89 2183" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "dim(count[, colMeans(count > 0) >= 1/100]) # 1%" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
      \n", + "\t
    1. 89
      2. \n", + "\t
    2. 1297
      3. \n", + "
    \n" + ], + "text/latex": [ + "\\begin{enumerate*}\n", + "\\item 89\n", + "\\item 1297\n", + "\\end{enumerate*}\n" + ], + "text/markdown": [ + "1. 89\n", + "2. 1297\n", + "\n", + "\n" + ], + "text/plain": [ + "[1] 89 1297" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "dim(count[, colMeans(count > 0) >= 2/100]) # 2%" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
      \n", + "\t
    1. 89
      2. \n", + "\t
    2. 576
      3. \n", + "
    \n" + ], + "text/latex": [ + "\\begin{enumerate*}\n", + "\\item 89\n", + "\\item 576\n", + "\\end{enumerate*}\n" + ], + "text/markdown": [ + "1. 89\n", + "2. 576\n", + "\n", + "\n" + ], + "text/plain": [ + "[1] 89 576" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "dim(count[, colMeans(count > 0) >= 5/100]) # 5%" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
      \n", + "\t
    1. 89
      2. \n", + "\t
    2. 2183
      3. \n", + "
    \n" + ], + "text/latex": [ + "\\begin{enumerate*}\n", + "\\item 89\n", + "\\item 2183\n", + "\\end{enumerate*}\n" + ], + "text/markdown": [ + "1. 89\n", + "2. 2183\n", + "\n", + "\n" + ], + "text/plain": [ + "[1] 89 2183" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "\n", + "\n", + "\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\n", + "
    k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Paenibacillaceae.g__Paenibacillus.s__k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__muralisk__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Novosphingobium.s__k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Nocardioidaceae.g__Nocardioides.s__k__Bacteria.p__Bacteroidetes.c__Flavobacteriia.o__Flavobacteriales.f__Flavobacteriaceae.g__Flavobacterium.s__k__Bacteria.p__Firmicutes.c__Clostridia.o__Clostridiales.f__Peptococcaceae.g__Desulfotomaculum.s__k__Bacteria.p__Acidobacteria.c__Acidobacteriia.o__Acidobacteriales.f__Koribacteraceae.g__Candidatus.Koribacter.s__k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Comamonadaceae.g__Methylibium.s__...k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Comamonadaceae.g__Rhodoferax.s__.4k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Xanthomonadales.f__Xanthomonadaceae.g__Dokdonella.s__.9k__Bacteria.p__Firmicutes.c__Bacilli.o__Lactobacillales.f__Streptococcaceae.g__Streptococcus.s__.9k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Methylophilales.f__Methylophilaceae.g__Methylotenera.s__mobilis.2k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Streptomycetaceae.g__Streptomyces.s__.44k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Xanthomonadales.f__Xanthomonadaceae.g__Luteimonas.s__.2k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.142k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Planococcaceae.g__Solibacillus.s__.3k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Comamonadaceae.g__Ramlibacter.s__.9k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Mycobacteriaceae.g__Mycobacterium.s__.28
    103.CA2-7.828436-7.828436-7.828436-7.828436-7.828436-7.828436-7.828436-7.828436-7.828436-7.828436... -7.828436-7.828436-7.828436-7.828436-7.828436-7.828436-7.828436-7.828436-7.828436-7.828436
    103.CO3-7.892452-7.892452-7.892452-7.892452-7.892452-7.892452-7.892452-7.892452-7.892452-7.892452... -7.892452-7.892452-7.892452-7.892452-7.892452-7.892452-7.892452-7.892452-7.892452-7.199305
    103.SR3-7.942718-7.942718-7.942718-7.942718-7.942718-7.942718-7.942718-7.942718-7.942718-7.942718... -7.942718-7.249570-7.942718-7.942718-7.942718-7.942718-7.942718-7.942718-7.249570-7.249570
    103.IE2-7.208230-7.901377-7.901377-7.901377-7.901377-7.901377-7.901377-7.901377-7.901377-7.901377... -7.901377-7.901377-7.901377-7.901377-7.901377-7.901377-6.515083-7.901377-7.901377-7.208230
    103.BP1-7.781139-7.781139-7.781139-7.781139-7.781139-7.781139-7.781139-7.781139-7.781139-7.781139... -7.781139-7.781139-7.781139-7.781139-7.781139-7.781139-7.781139-7.781139-7.781139-7.087991
    103.VC2-7.825645-7.825645-7.825645-7.825645-7.825645-7.825645-7.825645-7.825645-7.825645-6.439350... -7.825645-7.825645-7.825645-7.825645-7.825645-7.825645-7.825645-7.825645-7.825645-7.132498
    \n" + ], + "text/latex": [ + "\\begin{tabular}{r|lllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllll}\n", + " & k\\_\\_Bacteria.p\\_\\_Firmicutes.c\\_\\_Bacilli.o\\_\\_Bacillales.f\\_\\_Paenibacillaceae.g\\_\\_Paenibacillus.s\\_\\_ & k\\_\\_Bacteria.p\\_\\_Firmicutes.c\\_\\_Bacilli.o\\_\\_Bacillales.f\\_\\_Bacillaceae.g\\_\\_Bacillus.s\\_\\_muralis & k\\_\\_Bacteria.p\\_\\_Proteobacteria.c\\_\\_Alphaproteobacteria.o\\_\\_Sphingomonadales.f\\_\\_Sphingomonadaceae.g\\_\\_Novosphingobium.s\\_\\_ & k\\_\\_Bacteria.p\\_\\_Acidobacteria.c\\_\\_Solibacteres.o\\_\\_Solibacterales.f\\_\\_Solibacteraceae.g\\_\\_Candidatus.Solibacter.s\\_\\_ & k\\_\\_Bacteria.p\\_\\_Proteobacteria.c\\_\\_Alphaproteobacteria.o\\_\\_Rhizobiales.f\\_\\_Hyphomicrobiaceae.g\\_\\_Rhodoplanes.s\\_\\_ & k\\_\\_Bacteria.p\\_\\_Actinobacteria.c\\_\\_Actinobacteria.o\\_\\_Actinomycetales.f\\_\\_Nocardioidaceae.g\\_\\_Nocardioides.s\\_\\_ & k\\_\\_Bacteria.p\\_\\_Bacteroidetes.c\\_\\_Flavobacteriia.o\\_\\_Flavobacteriales.f\\_\\_Flavobacteriaceae.g\\_\\_Flavobacterium.s\\_\\_ & k\\_\\_Bacteria.p\\_\\_Firmicutes.c\\_\\_Clostridia.o\\_\\_Clostridiales.f\\_\\_Peptococcaceae.g\\_\\_Desulfotomaculum.s\\_\\_ & k\\_\\_Bacteria.p\\_\\_Acidobacteria.c\\_\\_Acidobacteriia.o\\_\\_Acidobacteriales.f\\_\\_Koribacteraceae.g\\_\\_Candidatus.Koribacter.s\\_\\_ & k\\_\\_Bacteria.p\\_\\_Proteobacteria.c\\_\\_Betaproteobacteria.o\\_\\_Burkholderiales.f\\_\\_Comamonadaceae.g\\_\\_Methylibium.s\\_\\_ & ... & k\\_\\_Bacteria.p\\_\\_Proteobacteria.c\\_\\_Betaproteobacteria.o\\_\\_Burkholderiales.f\\_\\_Comamonadaceae.g\\_\\_Rhodoferax.s\\_\\_.4 & k\\_\\_Bacteria.p\\_\\_Proteobacteria.c\\_\\_Gammaproteobacteria.o\\_\\_Xanthomonadales.f\\_\\_Xanthomonadaceae.g\\_\\_Dokdonella.s\\_\\_.9 & k\\_\\_Bacteria.p\\_\\_Firmicutes.c\\_\\_Bacilli.o\\_\\_Lactobacillales.f\\_\\_Streptococcaceae.g\\_\\_Streptococcus.s\\_\\_.9 & k\\_\\_Bacteria.p\\_\\_Proteobacteria.c\\_\\_Betaproteobacteria.o\\_\\_Methylophilales.f\\_\\_Methylophilaceae.g\\_\\_Methylotenera.s\\_\\_mobilis.2 & k\\_\\_Bacteria.p\\_\\_Actinobacteria.c\\_\\_Actinobacteria.o\\_\\_Actinomycetales.f\\_\\_Streptomycetaceae.g\\_\\_Streptomyces.s\\_\\_.44 & k\\_\\_Bacteria.p\\_\\_Proteobacteria.c\\_\\_Gammaproteobacteria.o\\_\\_Xanthomonadales.f\\_\\_Xanthomonadaceae.g\\_\\_Luteimonas.s\\_\\_.2 & k\\_\\_Bacteria.p\\_\\_Proteobacteria.c\\_\\_Alphaproteobacteria.o\\_\\_Rhizobiales.f\\_\\_Hyphomicrobiaceae.g\\_\\_Rhodoplanes.s\\_\\_.142 & k\\_\\_Bacteria.p\\_\\_Firmicutes.c\\_\\_Bacilli.o\\_\\_Bacillales.f\\_\\_Planococcaceae.g\\_\\_Solibacillus.s\\_\\_.3 & k\\_\\_Bacteria.p\\_\\_Proteobacteria.c\\_\\_Betaproteobacteria.o\\_\\_Burkholderiales.f\\_\\_Comamonadaceae.g\\_\\_Ramlibacter.s\\_\\_.9 & k\\_\\_Bacteria.p\\_\\_Actinobacteria.c\\_\\_Actinobacteria.o\\_\\_Actinomycetales.f\\_\\_Mycobacteriaceae.g\\_\\_Mycobacterium.s\\_\\_.28\\\\\n", + "\\hline\n", + "\t103.CA2 & -7.828436 & -7.828436 & -7.828436 & -7.828436 & -7.828436 & -7.828436 & -7.828436 & -7.828436 & -7.828436 & -7.828436 & ... & -7.828436 & -7.828436 & -7.828436 & -7.828436 & -7.828436 & -7.828436 & -7.828436 & -7.828436 & -7.828436 & -7.828436\\\\\n", + "\t103.CO3 & -7.892452 & -7.892452 & -7.892452 & -7.892452 & -7.892452 & -7.892452 & -7.892452 & -7.892452 & -7.892452 & -7.892452 & ... & -7.892452 & -7.892452 & -7.892452 & -7.892452 & -7.892452 & -7.892452 & -7.892452 & -7.892452 & -7.892452 & -7.199305\\\\\n", + "\t103.SR3 & -7.942718 & -7.942718 & -7.942718 & -7.942718 & -7.942718 & -7.942718 & -7.942718 & -7.942718 & -7.942718 & -7.942718 & ... & -7.942718 & -7.249570 & -7.942718 & -7.942718 & -7.942718 & -7.942718 & -7.942718 & -7.942718 & -7.249570 & -7.249570\\\\\n", + "\t103.IE2 & -7.208230 & -7.901377 & -7.901377 & -7.901377 & -7.901377 & -7.901377 & -7.901377 & -7.901377 & -7.901377 & -7.901377 & ... & -7.901377 & -7.901377 & -7.901377 & -7.901377 & -7.901377 & -7.901377 & -6.515083 & -7.901377 & -7.901377 & -7.208230\\\\\n", + "\t103.BP1 & -7.781139 & -7.781139 & -7.781139 & -7.781139 & -7.781139 & -7.781139 & -7.781139 & -7.781139 & -7.781139 & -7.781139 & ... & -7.781139 & -7.781139 & -7.781139 & -7.781139 & -7.781139 & -7.781139 & -7.781139 & -7.781139 & -7.781139 & -7.087991\\\\\n", + "\t103.VC2 & -7.825645 & -7.825645 & -7.825645 & -7.825645 & -7.825645 & -7.825645 & -7.825645 & -7.825645 & -7.825645 & -6.439350 & ... & -7.825645 & -7.825645 & -7.825645 & -7.825645 & -7.825645 & -7.825645 & -7.825645 & -7.825645 & -7.825645 & -7.132498\\\\\n", + "\\end{tabular}\n" + ], + "text/markdown": [ + "\n", + "| | k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Paenibacillaceae.g__Paenibacillus.s__ | k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__muralis | k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Novosphingobium.s__ | k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__ | k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__ | k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Nocardioidaceae.g__Nocardioides.s__ | k__Bacteria.p__Bacteroidetes.c__Flavobacteriia.o__Flavobacteriales.f__Flavobacteriaceae.g__Flavobacterium.s__ | k__Bacteria.p__Firmicutes.c__Clostridia.o__Clostridiales.f__Peptococcaceae.g__Desulfotomaculum.s__ | k__Bacteria.p__Acidobacteria.c__Acidobacteriia.o__Acidobacteriales.f__Koribacteraceae.g__Candidatus.Koribacter.s__ | k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Comamonadaceae.g__Methylibium.s__ | ... | k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Comamonadaceae.g__Rhodoferax.s__.4 | k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Xanthomonadales.f__Xanthomonadaceae.g__Dokdonella.s__.9 | k__Bacteria.p__Firmicutes.c__Bacilli.o__Lactobacillales.f__Streptococcaceae.g__Streptococcus.s__.9 | k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Methylophilales.f__Methylophilaceae.g__Methylotenera.s__mobilis.2 | k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Streptomycetaceae.g__Streptomyces.s__.44 | k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Xanthomonadales.f__Xanthomonadaceae.g__Luteimonas.s__.2 | k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.142 | k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Planococcaceae.g__Solibacillus.s__.3 | k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Comamonadaceae.g__Ramlibacter.s__.9 | k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Mycobacteriaceae.g__Mycobacterium.s__.28 |\n", + "|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n", + "| 103.CA2 | -7.828436 | -7.828436 | -7.828436 | -7.828436 | -7.828436 | -7.828436 | -7.828436 | -7.828436 | -7.828436 | -7.828436 | ... | -7.828436 | -7.828436 | -7.828436 | -7.828436 | -7.828436 | -7.828436 | -7.828436 | -7.828436 | -7.828436 | -7.828436 |\n", + "| 103.CO3 | -7.892452 | -7.892452 | -7.892452 | -7.892452 | -7.892452 | -7.892452 | -7.892452 | -7.892452 | -7.892452 | -7.892452 | ... | -7.892452 | -7.892452 | -7.892452 | -7.892452 | -7.892452 | -7.892452 | -7.892452 | -7.892452 | -7.892452 | -7.199305 |\n", + "| 103.SR3 | -7.942718 | -7.942718 | -7.942718 | -7.942718 | -7.942718 | -7.942718 | -7.942718 | -7.942718 | -7.942718 | -7.942718 | ... | -7.942718 | -7.249570 | -7.942718 | -7.942718 | -7.942718 | -7.942718 | -7.942718 | -7.942718 | -7.249570 | -7.249570 |\n", + "| 103.IE2 | -7.208230 | -7.901377 | -7.901377 | -7.901377 | -7.901377 | -7.901377 | -7.901377 | -7.901377 | -7.901377 | -7.901377 | ... | -7.901377 | -7.901377 | -7.901377 | -7.901377 | -7.901377 | -7.901377 | -6.515083 | -7.901377 | -7.901377 | -7.208230 |\n", + "| 103.BP1 | -7.781139 | -7.781139 | -7.781139 | -7.781139 | -7.781139 | -7.781139 | -7.781139 | -7.781139 | -7.781139 | -7.781139 | ... | -7.781139 | -7.781139 | -7.781139 | -7.781139 | -7.781139 | -7.781139 | -7.781139 | -7.781139 | -7.781139 | -7.087991 |\n", + "| 103.VC2 | -7.825645 | -7.825645 | -7.825645 | -7.825645 | -7.825645 | -7.825645 | -7.825645 | -7.825645 | -7.825645 | -6.439350 | ... | -7.825645 | -7.825645 | -7.825645 | -7.825645 | -7.825645 | -7.825645 | -7.825645 | -7.825645 | -7.825645 | -7.132498 |\n", + "\n" + ], + "text/plain": [ + " k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Paenibacillaceae.g__Paenibacillus.s__\n", + "103.CA2 -7.828436 \n", + "103.CO3 -7.892452 \n", + "103.SR3 -7.942718 \n", + "103.IE2 -7.208230 \n", + "103.BP1 -7.781139 \n", + "103.VC2 -7.825645 \n", + " k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Bacillaceae.g__Bacillus.s__muralis\n", + "103.CA2 -7.828436 \n", + "103.CO3 -7.892452 \n", + "103.SR3 -7.942718 \n", + "103.IE2 -7.901377 \n", + "103.BP1 -7.781139 \n", + "103.VC2 -7.825645 \n", + " k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Novosphingobium.s__\n", + "103.CA2 -7.828436 \n", + "103.CO3 -7.892452 \n", + "103.SR3 -7.942718 \n", + "103.IE2 -7.901377 \n", + "103.BP1 -7.781139 \n", + "103.VC2 -7.825645 \n", + " k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__\n", + "103.CA2 -7.828436 \n", + "103.CO3 -7.892452 \n", + "103.SR3 -7.942718 \n", + "103.IE2 -7.901377 \n", + "103.BP1 -7.781139 \n", + "103.VC2 -7.825645 \n", + " k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__\n", + "103.CA2 -7.828436 \n", + "103.CO3 -7.892452 \n", + "103.SR3 -7.942718 \n", + "103.IE2 -7.901377 \n", + "103.BP1 -7.781139 \n", + "103.VC2 -7.825645 \n", + " k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Nocardioidaceae.g__Nocardioides.s__\n", + "103.CA2 -7.828436 \n", + "103.CO3 -7.892452 \n", + "103.SR3 -7.942718 \n", + "103.IE2 -7.901377 \n", + "103.BP1 -7.781139 \n", + "103.VC2 -7.825645 \n", + " k__Bacteria.p__Bacteroidetes.c__Flavobacteriia.o__Flavobacteriales.f__Flavobacteriaceae.g__Flavobacterium.s__\n", + "103.CA2 -7.828436 \n", + "103.CO3 -7.892452 \n", + "103.SR3 -7.942718 \n", + "103.IE2 -7.901377 \n", + "103.BP1 -7.781139 \n", + "103.VC2 -7.825645 \n", + " k__Bacteria.p__Firmicutes.c__Clostridia.o__Clostridiales.f__Peptococcaceae.g__Desulfotomaculum.s__\n", + "103.CA2 -7.828436 \n", + "103.CO3 -7.892452 \n", + "103.SR3 -7.942718 \n", + "103.IE2 -7.901377 \n", + "103.BP1 -7.781139 \n", + "103.VC2 -7.825645 \n", + " k__Bacteria.p__Acidobacteria.c__Acidobacteriia.o__Acidobacteriales.f__Koribacteraceae.g__Candidatus.Koribacter.s__\n", + "103.CA2 -7.828436 \n", + "103.CO3 -7.892452 \n", + "103.SR3 -7.942718 \n", + "103.IE2 -7.901377 \n", + "103.BP1 -7.781139 \n", + "103.VC2 -7.825645 \n", + " k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Comamonadaceae.g__Methylibium.s__\n", + "103.CA2 -7.828436 \n", + "103.CO3 -7.892452 \n", + "103.SR3 -7.942718 \n", + "103.IE2 -7.901377 \n", + "103.BP1 -7.781139 \n", + "103.VC2 -6.439350 \n", + " ...\n", + "103.CA2 ...\n", + "103.CO3 ...\n", + "103.SR3 ...\n", + "103.IE2 ...\n", + "103.BP1 ...\n", + "103.VC2 ...\n", + " k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Comamonadaceae.g__Rhodoferax.s__.4\n", + "103.CA2 -7.828436 \n", + "103.CO3 -7.892452 \n", + "103.SR3 -7.942718 \n", + "103.IE2 -7.901377 \n", + "103.BP1 -7.781139 \n", + "103.VC2 -7.825645 \n", + " k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Xanthomonadales.f__Xanthomonadaceae.g__Dokdonella.s__.9\n", + "103.CA2 -7.828436 \n", + "103.CO3 -7.892452 \n", + "103.SR3 -7.249570 \n", + "103.IE2 -7.901377 \n", + "103.BP1 -7.781139 \n", + "103.VC2 -7.825645 \n", + " k__Bacteria.p__Firmicutes.c__Bacilli.o__Lactobacillales.f__Streptococcaceae.g__Streptococcus.s__.9\n", + "103.CA2 -7.828436 \n", + "103.CO3 -7.892452 \n", + "103.SR3 -7.942718 \n", + "103.IE2 -7.901377 \n", + "103.BP1 -7.781139 \n", + "103.VC2 -7.825645 \n", + " k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Methylophilales.f__Methylophilaceae.g__Methylotenera.s__mobilis.2\n", + "103.CA2 -7.828436 \n", + "103.CO3 -7.892452 \n", + "103.SR3 -7.942718 \n", + "103.IE2 -7.901377 \n", + "103.BP1 -7.781139 \n", + "103.VC2 -7.825645 \n", + " k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Streptomycetaceae.g__Streptomyces.s__.44\n", + "103.CA2 -7.828436 \n", + "103.CO3 -7.892452 \n", + "103.SR3 -7.942718 \n", + "103.IE2 -7.901377 \n", + "103.BP1 -7.781139 \n", + "103.VC2 -7.825645 \n", + " k__Bacteria.p__Proteobacteria.c__Gammaproteobacteria.o__Xanthomonadales.f__Xanthomonadaceae.g__Luteimonas.s__.2\n", + "103.CA2 -7.828436 \n", + "103.CO3 -7.892452 \n", + "103.SR3 -7.942718 \n", + "103.IE2 -7.901377 \n", + "103.BP1 -7.781139 \n", + "103.VC2 -7.825645 \n", + " k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.142\n", + "103.CA2 -7.828436 \n", + "103.CO3 -7.892452 \n", + "103.SR3 -7.942718 \n", + "103.IE2 -6.515083 \n", + "103.BP1 -7.781139 \n", + "103.VC2 -7.825645 \n", + " k__Bacteria.p__Firmicutes.c__Bacilli.o__Bacillales.f__Planococcaceae.g__Solibacillus.s__.3\n", + "103.CA2 -7.828436 \n", + "103.CO3 -7.892452 \n", + "103.SR3 -7.942718 \n", + "103.IE2 -7.901377 \n", + "103.BP1 -7.781139 \n", + "103.VC2 -7.825645 \n", + " k__Bacteria.p__Proteobacteria.c__Betaproteobacteria.o__Burkholderiales.f__Comamonadaceae.g__Ramlibacter.s__.9\n", + "103.CA2 -7.828436 \n", + "103.CO3 -7.892452 \n", + "103.SR3 -7.249570 \n", + "103.IE2 -7.901377 \n", + "103.BP1 -7.781139 \n", + "103.VC2 -7.825645 \n", + " k__Bacteria.p__Actinobacteria.c__Actinobacteria.o__Actinomycetales.f__Mycobacteriaceae.g__Mycobacterium.s__.28\n", + "103.CA2 -7.828436 \n", + "103.CO3 -7.199305 \n", + "103.SR3 -7.249570 \n", + "103.IE2 -7.208230 \n", + "103.BP1 -7.087991 \n", + "103.VC2 -7.132498 " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# add pesudo count 0.5\n", + "x = count # preprossed done already\n", + "x[x == 0] <- 0.5\n", + "x <- x/rowSums(x) # relative abundance\n", + "taxa <- log(x)\n", + "dim(taxa)\n", + "head(taxa)" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
      \n", + "\t
    1. 'BarcodeSequence'
      2. \n", + "\t
    2. 'LinkerPrimerSequence'
      3. \n", + "\t
    3. 'barcode_read_group_tag'
      4. \n", + "\t
    4. 'dna_extracted_prep'
      5. \n", + "\t
    5. 'experiment_alias'
      6. \n", + "\t
    6. 'experiment_center'
      7. \n", + "\t
    7. 'experiment_design_description'
      8. \n", + "\t
    8. 'experiment_title'
      9. \n", + "\t
    9. 'instrument_name'
      10. \n", + "\t
    10. 'key_seq'
      11. \n", + "\t
    11. 'library_construction_protocol'
      12. \n", + "\t
    12. 'linker'
      13. \n", + "\t
    13. 'pcr_primers'
      14. \n", + "\t
    14. 'physical_specimen_remaining_prep'
      15. \n", + "\t
    15. 'platform'
      16. \n", + "\t
    16. 'pool_member_name'
      17. \n", + "\t
    17. 'pool_proportion'
      18. \n", + "\t
    18. 'primer_read_group_tag'
      19. \n", + "\t
    19. 'region'
      20. \n", + "\t
    20. 'run_alias'
      21. \n", + "\t
    21. 'run_center'
      22. \n", + "\t
    22. 'run_date'
      23. \n", + "\t
    23. 'run_prefix'
      24. \n", + "\t
    24. 'samp_size'
      25. \n", + "\t
    25. 'sample_center'
      26. \n", + "\t
    26. 'sample_type_prep'
      27. \n", + "\t
    27. 'sequencing_meth'
      28. \n", + "\t
    28. 'study_center'
      29. \n", + "\t
    29. 'study_ref'
      30. \n", + "\t
    30. 'target_gene'
      31. \n", + "\t
    31. 'target_subfragment'
      32. \n", + "\t
    32. 'altitude'
      33. \n", + "\t
    33. 'annual_season_precpt'
      34. \n", + "\t
    34. 'annual_season_temp'
      35. \n", + "\t
    35. 'anonymized_name'
      36. \n", + "\t
    36. 'assigned_from_geo'
      37. \n", + "\t
    37. 'carb_nitro_ratio'
      38. \n", + "\t
    38. 'cmin_rate'
      39. \n", + "\t
    39. 'collection_date'
      40. \n", + "\t
    40. 'common_name'
      41. \n", + "\t
    41. 'country'
      42. \n", + "\t
    42. 'depth'
      43. \n", + "\t
    43. 'dna_extracted'
      44. \n", + "\t
    44. 'elevation'
      45. \n", + "\t
    45. 'env_biome'
      46. \n", + "\t
    46. 'env_feature'
      47. \n", + "\t
    47. 'env_matter'
      48. \n", + "\t
    48. 'host_subject_id'
      49. \n", + "\t
    49. 'latitude'
      50. \n", + "\t
    50. 'longitude'
      51. \n", + "\t
    51. 'ph'
      52. \n", + "\t
    52. 'physical_specimen_remaining'
      53. \n", + "\t
    53. 'project_name'
      54. \n", + "\t
    54. 'public'
      55. \n", + "\t
    55. 'sample_type'
      56. \n", + "\t
    56. 'silt_clay'
      57. \n", + "\t
    57. 'soil_moisture_deficit'
      58. \n", + "\t
    58. 'soil_type'
      59. \n", + "\t
    59. 'specific_location'
      60. \n", + "\t
    60. 'taxon_id'
      61. \n", + "\t
    61. 'texture'
      62. \n", + "\t
    62. 'title'
      63. \n", + "\t
    63. 'tot_org_carb'
      64. \n", + "\t
    64. 'tot_org_nitro'
      65. \n", + "\t
    65. 'Description'
      66. \n", + "\t
    66. 'ph2'
      67. \n", + "\t
    67. 'ph3'
      68. \n", + "\t
    68. 'ph4'
      69. \n", + "\t
    69. 'ph_rounded'
      70. \n", + "
    \n" + ], + "text/latex": [ + "\\begin{enumerate*}\n", + "\\item 'BarcodeSequence'\n", + "\\item 'LinkerPrimerSequence'\n", + "\\item 'barcode\\_read\\_group\\_tag'\n", + "\\item 'dna\\_extracted\\_prep'\n", + "\\item 'experiment\\_alias'\n", + "\\item 'experiment\\_center'\n", + "\\item 'experiment\\_design\\_description'\n", + "\\item 'experiment\\_title'\n", + "\\item 'instrument\\_name'\n", + "\\item 'key\\_seq'\n", + "\\item 'library\\_construction\\_protocol'\n", + "\\item 'linker'\n", + "\\item 'pcr\\_primers'\n", + "\\item 'physical\\_specimen\\_remaining\\_prep'\n", + "\\item 'platform'\n", + "\\item 'pool\\_member\\_name'\n", + "\\item 'pool\\_proportion'\n", + "\\item 'primer\\_read\\_group\\_tag'\n", + "\\item 'region'\n", + "\\item 'run\\_alias'\n", + "\\item 'run\\_center'\n", + "\\item 'run\\_date'\n", + "\\item 'run\\_prefix'\n", + "\\item 'samp\\_size'\n", + "\\item 'sample\\_center'\n", + "\\item 'sample\\_type\\_prep'\n", + "\\item 'sequencing\\_meth'\n", + "\\item 'study\\_center'\n", + "\\item 'study\\_ref'\n", + "\\item 'target\\_gene'\n", + "\\item 'target\\_subfragment'\n", + "\\item 'altitude'\n", + "\\item 'annual\\_season\\_precpt'\n", + "\\item 'annual\\_season\\_temp'\n", + "\\item 'anonymized\\_name'\n", + "\\item 'assigned\\_from\\_geo'\n", + "\\item 'carb\\_nitro\\_ratio'\n", + "\\item 'cmin\\_rate'\n", + "\\item 'collection\\_date'\n", + "\\item 'common\\_name'\n", + "\\item 'country'\n", + "\\item 'depth'\n", + "\\item 'dna\\_extracted'\n", + "\\item 'elevation'\n", + "\\item 'env\\_biome'\n", + "\\item 'env\\_feature'\n", + "\\item 'env\\_matter'\n", + "\\item 'host\\_subject\\_id'\n", + "\\item 'latitude'\n", + "\\item 'longitude'\n", + "\\item 'ph'\n", + "\\item 'physical\\_specimen\\_remaining'\n", + "\\item 'project\\_name'\n", + "\\item 'public'\n", + "\\item 'sample\\_type'\n", + "\\item 'silt\\_clay'\n", + "\\item 'soil\\_moisture\\_deficit'\n", + "\\item 'soil\\_type'\n", + "\\item 'specific\\_location'\n", + "\\item 'taxon\\_id'\n", + "\\item 'texture'\n", + "\\item 'title'\n", + "\\item 'tot\\_org\\_carb'\n", + "\\item 'tot\\_org\\_nitro'\n", + "\\item 'Description'\n", + "\\item 'ph2'\n", + "\\item 'ph3'\n", + "\\item 'ph4'\n", + "\\item 'ph\\_rounded'\n", + "\\end{enumerate*}\n" + ], + "text/markdown": [ + "1. 'BarcodeSequence'\n", + "2. 'LinkerPrimerSequence'\n", + "3. 'barcode_read_group_tag'\n", + "4. 'dna_extracted_prep'\n", + "5. 'experiment_alias'\n", + "6. 'experiment_center'\n", + "7. 'experiment_design_description'\n", + "8. 'experiment_title'\n", + "9. 'instrument_name'\n", + "10. 'key_seq'\n", + "11. 'library_construction_protocol'\n", + "12. 'linker'\n", + "13. 'pcr_primers'\n", + "14. 'physical_specimen_remaining_prep'\n", + "15. 'platform'\n", + "16. 'pool_member_name'\n", + "17. 'pool_proportion'\n", + "18. 'primer_read_group_tag'\n", + "19. 'region'\n", + "20. 'run_alias'\n", + "21. 'run_center'\n", + "22. 'run_date'\n", + "23. 'run_prefix'\n", + "24. 'samp_size'\n", + "25. 'sample_center'\n", + "26. 'sample_type_prep'\n", + "27. 'sequencing_meth'\n", + "28. 'study_center'\n", + "29. 'study_ref'\n", + "30. 'target_gene'\n", + "31. 'target_subfragment'\n", + "32. 'altitude'\n", + "33. 'annual_season_precpt'\n", + "34. 'annual_season_temp'\n", + "35. 'anonymized_name'\n", + "36. 'assigned_from_geo'\n", + "37. 'carb_nitro_ratio'\n", + "38. 'cmin_rate'\n", + "39. 'collection_date'\n", + "40. 'common_name'\n", + "41. 'country'\n", + "42. 'depth'\n", + "43. 'dna_extracted'\n", + "44. 'elevation'\n", + "45. 'env_biome'\n", + "46. 'env_feature'\n", + "47. 'env_matter'\n", + "48. 'host_subject_id'\n", + "49. 'latitude'\n", + "50. 'longitude'\n", + "51. 'ph'\n", + "52. 'physical_specimen_remaining'\n", + "53. 'project_name'\n", + "54. 'public'\n", + "55. 'sample_type'\n", + "56. 'silt_clay'\n", + "57. 'soil_moisture_deficit'\n", + "58. 'soil_type'\n", + "59. 'specific_location'\n", + "60. 'taxon_id'\n", + "61. 'texture'\n", + "62. 'title'\n", + "63. 'tot_org_carb'\n", + "64. 'tot_org_nitro'\n", + "65. 'Description'\n", + "66. 'ph2'\n", + "67. 'ph3'\n", + "68. 'ph4'\n", + "69. 'ph_rounded'\n", + "\n", + "\n" + ], + "text/plain": [ + " [1] \"BarcodeSequence\" \"LinkerPrimerSequence\" \n", + " [3] \"barcode_read_group_tag\" \"dna_extracted_prep\" \n", + " [5] \"experiment_alias\" \"experiment_center\" \n", + " [7] \"experiment_design_description\" \"experiment_title\" \n", + " [9] \"instrument_name\" \"key_seq\" \n", + "[11] \"library_construction_protocol\" \"linker\" \n", + "[13] \"pcr_primers\" \"physical_specimen_remaining_prep\"\n", + "[15] \"platform\" \"pool_member_name\" \n", + "[17] \"pool_proportion\" \"primer_read_group_tag\" \n", + "[19] \"region\" \"run_alias\" \n", + "[21] \"run_center\" \"run_date\" \n", + "[23] \"run_prefix\" \"samp_size\" \n", + "[25] \"sample_center\" \"sample_type_prep\" \n", + "[27] \"sequencing_meth\" \"study_center\" \n", + "[29] \"study_ref\" \"target_gene\" \n", + "[31] \"target_subfragment\" \"altitude\" \n", + "[33] \"annual_season_precpt\" \"annual_season_temp\" \n", + "[35] \"anonymized_name\" \"assigned_from_geo\" \n", + "[37] \"carb_nitro_ratio\" \"cmin_rate\" \n", + "[39] \"collection_date\" \"common_name\" \n", + "[41] \"country\" \"depth\" \n", + "[43] \"dna_extracted\" \"elevation\" \n", + "[45] \"env_biome\" \"env_feature\" \n", + "[47] \"env_matter\" \"host_subject_id\" \n", + "[49] \"latitude\" \"longitude\" \n", + "[51] \"ph\" \"physical_specimen_remaining\" \n", + "[53] \"project_name\" \"public\" \n", + "[55] \"sample_type\" \"silt_clay\" \n", + "[57] \"soil_moisture_deficit\" \"soil_type\" \n", + "[59] \"specific_location\" \"taxon_id\" \n", + "[61] \"texture\" \"title\" \n", + "[63] \"tot_org_carb\" \"tot_org_nitro\" \n", + "[65] \"Description\" \"ph2\" \n", + "[67] \"ph3\" \"ph4\" \n", + "[69] \"ph_rounded\" " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "colnames(demo)" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "89" + ], + "text/latex": [ + "89" + ], + "text/markdown": [ + "89" + ], + "text/plain": [ + "[1] 89" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
      \n", + "\t
    1. 8.02
      2. \n", + "\t
    2. 6.02
      3. \n", + "\t
    3. 6.95
      4. \n", + "\t
    4. 5.52
      5. \n", + "\t
    5. 7.53
      6. \n", + "\t
    6. 5.99
      7. \n", + "
    \n" + ], + "text/latex": [ + "\\begin{enumerate*}\n", + "\\item 8.02\n", + "\\item 6.02\n", + "\\item 6.95\n", + "\\item 5.52\n", + "\\item 7.53\n", + "\\item 5.99\n", + "\\end{enumerate*}\n" + ], + "text/markdown": [ + "1. 8.02\n", + "2. 6.02\n", + "3. 6.95\n", + "4. 5.52\n", + "5. 7.53\n", + "6. 5.99\n", + "\n", + "\n" + ], + "text/plain": [ + "[1] 8.02 6.02 6.95 5.52 7.53 5.99" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# metadata\n", + "mf <- read.csv(\"../data_application/88soils/88soils_modified_metadata.txt\", sep='\\t', row.names=1)\n", + "y <- mf$ph[match(rownames(count), rownames(mf))]\n", + "length(y)\n", + "head(y)" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "'matrix'" + ], + "text/latex": [ + "'matrix'" + ], + "text/markdown": [ + "'matrix'" + ], + "text/plain": [ + "[1] \"matrix\"" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "'numeric'" + ], + "text/latex": [ + "'numeric'" + ], + "text/markdown": [ + "'numeric'" + ], + "text/plain": [ + "[1] \"numeric\"" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# check datatype\n", + "class(taxa); class(y)" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": {}, + "outputs": [], + "source": [ + "# save processed data\n", + "save(y, taxa, file='../data_application/88soils/soils_ph.RData')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### rough parameter ranges for this dataset" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [], + "source": [ + "load('../data_application/88soils/soils_ph.RData')" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "metadata": {}, + "outputs": [], + "source": [ + "## random forest\n", + "library(ranger)" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Ranger result\n", + "\n", + "Call:\n", + " ranger(y ~ ., data = data) \n", + "\n", + "Type: Regression \n", + "Number of trees: 500 \n", + "Sample size: 89 \n", + "Number of independent variables: 2183 \n", + "Mtry: 46 \n", + "Target node size: 5 \n", + "Variable importance mode: none \n", + "Splitrule: variance \n", + "OOB prediction error (MSE): 0.5718106 \n", + "R squared (OOB): 0.725152 " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "data = as.data.frame(cbind(y, taxa)) \n", + "rf.fit = ranger(y ~ ., data=data)\n", + "rf.fit # change mtry to seq(30, 60, 5)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "R", + "language": "R", + "name": "ir" + }, + "language_info": { + "codemirror_mode": "r", + "file_extension": ".r", + "mimetype": "text/x-r-source", + "name": "R", + "pygments_lexer": "r", + "version": "3.6.1" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/data_application/notebooks_application/4.2 88soils_results.ipynb b/data_application/notebooks_application/4.2 88soils_results.ipynb new file mode 100644 index 0000000..11a94cd --- /dev/null +++ b/data_application/notebooks_application/4.2 88soils_results.ipynb @@ -0,0 +1,361 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# example: p/n = 2183/89 = 24.5" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "load('../data_application/88soils/soils_ph_compLasso.RData')\n", + "load('../data_application/88soils/soils_ph_elnet.RData')\n", + "load('../data_application/88soils/soils_ph_lasso.RData')\n", + "load('../data_application/88soils/soils_ph_rf.RData')" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
      \n", + "\t
    1. 0.39
      2. \n", + "\t
    2. 0.43
      3. \n", + "
    \n" + ], + "text/latex": [ + "\\begin{enumerate*}\n", + "\\item 0.39\n", + "\\item 0.43\n", + "\\end{enumerate*}\n" + ], + "text/markdown": [ + "1. 0.39\n", + "2. 0.43\n", + "\n", + "\n" + ], + "text/plain": [ + "[1] 0.39 0.43" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "c(out_compLasso$stab_index, out_compLasso$MSE_mean)" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
      \n", + "\t
    1. 0.31
      2. \n", + "\t
    2. 0.31
      3. \n", + "
    \n" + ], + "text/latex": [ + "\\begin{enumerate*}\n", + "\\item 0.31\n", + "\\item 0.31\n", + "\\end{enumerate*}\n" + ], + "text/markdown": [ + "1. 0.31\n", + "2. 0.31\n", + "\n", + "\n" + ], + "text/plain": [ + "[1] 0.31 0.31" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "c(out_lasso$stab_index, out_lasso$MSE_mean) " + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
      \n", + "\t
    1. 0.17
      2. \n", + "\t
    2. 0.19
      3. \n", + "
    \n" + ], + "text/latex": [ + "\\begin{enumerate*}\n", + "\\item 0.17\n", + "\\item 0.19\n", + "\\end{enumerate*}\n" + ], + "text/markdown": [ + "1. 0.17\n", + "2. 0.19\n", + "\n", + "\n" + ], + "text/plain": [ + "[1] 0.17 0.19" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "c(out_elnet$stab_index, out_elnet$MSE_mean)" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
      \n", + "\t
    1. 0.04
      2. \n", + "\t
    2. 0.25
      3. \n", + "
    \n" + ], + "text/latex": [ + "\\begin{enumerate*}\n", + "\\item 0.04\n", + "\\item 0.25\n", + "\\end{enumerate*}\n" + ], + "text/markdown": [ + "1. 0.04\n", + "2. 0.25\n", + "\n", + "\n" + ], + "text/plain": [ + "[1] 0.04 0.25" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "c(out_rf$stab_index, out_rf$MSE_mean)" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [], + "source": [ + "# conclusion: based on stability -- compLasso the best: compLasso > Lasso > Elnet > RF\n", + "# based on MSE -- random forest with altman the best: Elnet > RF > Lasso > compLasso" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### add selection probability for each feature selection methods" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [], + "source": [ + "load('../data_application/88soils/soils_ph.RData')" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [], + "source": [ + "prob_compLasso = colSums(out_compLasso$stab_table)/dim(out_compLasso$stab_table)[1]\n", + "prob_lasso = colSums(out_lasso$stab_table)/dim(out_lasso$stab_table)[1]\n", + "prob_elnet = colSums(out_elnet$stab_table)/dim(out_elnet$stab_table)[1]\n", + "prob_rf = colSums(out_rf$stab_table)/dim(out_rf$stab_table)[1]\n", + "feature_prob = t(data.frame(rbind(prob_compLasso, prob_lasso, prob_elnet, prob_rf)))" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", + "\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\n", + "
    prob_compLassoprob_lassoprob_elnetprob_rf
    k__Bacteria.p__Actinobacteria.c__Rubrobacteria.o__Rubrobacterales.f__Rubrobacteraceae.g__Rubrobacter.s__.200.980.981.000.75
    k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.80.920.890.940.59
    k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Bradyrhizobiaceae.g__Balneimonas.s__.110.900.860.910.56
    k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.870.850.880.910.65
    k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.1310.850.860.820.55
    k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Bradyrhizobiaceae.g__Balneimonas.s__.50.660.460.600.58
    k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.650.640.700.910.39
    k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.230.570.800.860.31
    k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Kaistobacter.s__.230.530.530.780.36
    k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.830.520.610.820.20
    \n" + ], + "text/latex": [ + "\\begin{tabular}{r|llll}\n", + " & prob\\_compLasso & prob\\_lasso & prob\\_elnet & prob\\_rf\\\\\n", + "\\hline\n", + "\tk\\_\\_Bacteria.p\\_\\_Actinobacteria.c\\_\\_Rubrobacteria.o\\_\\_Rubrobacterales.f\\_\\_Rubrobacteraceae.g\\_\\_Rubrobacter.s\\_\\_.20 & 0.98 & 0.98 & 1.00 & 0.75\\\\\n", + "\tk\\_\\_Bacteria.p\\_\\_Acidobacteria.c\\_\\_Solibacteres.o\\_\\_Solibacterales.f\\_\\_Solibacteraceae.g\\_\\_Candidatus.Solibacter.s\\_\\_.8 & 0.92 & 0.89 & 0.94 & 0.59\\\\\n", + "\tk\\_\\_Bacteria.p\\_\\_Proteobacteria.c\\_\\_Alphaproteobacteria.o\\_\\_Rhizobiales.f\\_\\_Bradyrhizobiaceae.g\\_\\_Balneimonas.s\\_\\_.11 & 0.90 & 0.86 & 0.91 & 0.56\\\\\n", + "\tk\\_\\_Bacteria.p\\_\\_Proteobacteria.c\\_\\_Alphaproteobacteria.o\\_\\_Rhizobiales.f\\_\\_Hyphomicrobiaceae.g\\_\\_Rhodoplanes.s\\_\\_.87 & 0.85 & 0.88 & 0.91 & 0.65\\\\\n", + "\tk\\_\\_Bacteria.p\\_\\_Proteobacteria.c\\_\\_Alphaproteobacteria.o\\_\\_Rhizobiales.f\\_\\_Hyphomicrobiaceae.g\\_\\_Rhodoplanes.s\\_\\_.131 & 0.85 & 0.86 & 0.82 & 0.55\\\\\n", + "\tk\\_\\_Bacteria.p\\_\\_Proteobacteria.c\\_\\_Alphaproteobacteria.o\\_\\_Rhizobiales.f\\_\\_Bradyrhizobiaceae.g\\_\\_Balneimonas.s\\_\\_.5 & 0.66 & 0.46 & 0.60 & 0.58\\\\\n", + "\tk\\_\\_Bacteria.p\\_\\_Proteobacteria.c\\_\\_Alphaproteobacteria.o\\_\\_Rhizobiales.f\\_\\_Hyphomicrobiaceae.g\\_\\_Rhodoplanes.s\\_\\_.65 & 0.64 & 0.70 & 0.91 & 0.39\\\\\n", + "\tk\\_\\_Bacteria.p\\_\\_Acidobacteria.c\\_\\_Solibacteres.o\\_\\_Solibacterales.f\\_\\_Solibacteraceae.g\\_\\_Candidatus.Solibacter.s\\_\\_.23 & 0.57 & 0.80 & 0.86 & 0.31\\\\\n", + "\tk\\_\\_Bacteria.p\\_\\_Proteobacteria.c\\_\\_Alphaproteobacteria.o\\_\\_Sphingomonadales.f\\_\\_Sphingomonadaceae.g\\_\\_Kaistobacter.s\\_\\_.23 & 0.53 & 0.53 & 0.78 & 0.36\\\\\n", + "\tk\\_\\_Bacteria.p\\_\\_Proteobacteria.c\\_\\_Alphaproteobacteria.o\\_\\_Rhizobiales.f\\_\\_Hyphomicrobiaceae.g\\_\\_Rhodoplanes.s\\_\\_.83 & 0.52 & 0.61 & 0.82 & 0.20\\\\\n", + "\\end{tabular}\n" + ], + "text/markdown": [ + "\n", + "| | prob_compLasso | prob_lasso | prob_elnet | prob_rf |\n", + "|---|---|---|---|---|\n", + "| k__Bacteria.p__Actinobacteria.c__Rubrobacteria.o__Rubrobacterales.f__Rubrobacteraceae.g__Rubrobacter.s__.20 | 0.98 | 0.98 | 1.00 | 0.75 |\n", + "| k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.8 | 0.92 | 0.89 | 0.94 | 0.59 |\n", + "| k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Bradyrhizobiaceae.g__Balneimonas.s__.11 | 0.90 | 0.86 | 0.91 | 0.56 |\n", + "| k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.87 | 0.85 | 0.88 | 0.91 | 0.65 |\n", + "| k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.131 | 0.85 | 0.86 | 0.82 | 0.55 |\n", + "| k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Bradyrhizobiaceae.g__Balneimonas.s__.5 | 0.66 | 0.46 | 0.60 | 0.58 |\n", + "| k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.65 | 0.64 | 0.70 | 0.91 | 0.39 |\n", + "| k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.23 | 0.57 | 0.80 | 0.86 | 0.31 |\n", + "| k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Kaistobacter.s__.23 | 0.53 | 0.53 | 0.78 | 0.36 |\n", + "| k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.83 | 0.52 | 0.61 | 0.82 | 0.20 |\n", + "\n" + ], + "text/plain": [ + " prob_compLasso\n", + "k__Bacteria.p__Actinobacteria.c__Rubrobacteria.o__Rubrobacterales.f__Rubrobacteraceae.g__Rubrobacter.s__.20 0.98 \n", + "k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.8 0.92 \n", + "k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Bradyrhizobiaceae.g__Balneimonas.s__.11 0.90 \n", + "k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.87 0.85 \n", + "k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.131 0.85 \n", + "k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Bradyrhizobiaceae.g__Balneimonas.s__.5 0.66 \n", + "k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.65 0.64 \n", + "k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.23 0.57 \n", + "k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Kaistobacter.s__.23 0.53 \n", + "k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.83 0.52 \n", + " prob_lasso\n", + "k__Bacteria.p__Actinobacteria.c__Rubrobacteria.o__Rubrobacterales.f__Rubrobacteraceae.g__Rubrobacter.s__.20 0.98 \n", + "k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.8 0.89 \n", + "k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Bradyrhizobiaceae.g__Balneimonas.s__.11 0.86 \n", + "k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.87 0.88 \n", + "k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.131 0.86 \n", + "k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Bradyrhizobiaceae.g__Balneimonas.s__.5 0.46 \n", + "k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.65 0.70 \n", + "k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.23 0.80 \n", + "k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Kaistobacter.s__.23 0.53 \n", + "k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.83 0.61 \n", + " prob_elnet\n", + "k__Bacteria.p__Actinobacteria.c__Rubrobacteria.o__Rubrobacterales.f__Rubrobacteraceae.g__Rubrobacter.s__.20 1.00 \n", + "k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.8 0.94 \n", + "k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Bradyrhizobiaceae.g__Balneimonas.s__.11 0.91 \n", + "k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.87 0.91 \n", + "k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.131 0.82 \n", + "k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Bradyrhizobiaceae.g__Balneimonas.s__.5 0.60 \n", + "k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.65 0.91 \n", + "k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.23 0.86 \n", + "k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Kaistobacter.s__.23 0.78 \n", + "k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.83 0.82 \n", + " prob_rf\n", + "k__Bacteria.p__Actinobacteria.c__Rubrobacteria.o__Rubrobacterales.f__Rubrobacteraceae.g__Rubrobacter.s__.20 0.75 \n", + "k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.8 0.59 \n", + "k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Bradyrhizobiaceae.g__Balneimonas.s__.11 0.56 \n", + "k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.87 0.65 \n", + "k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.131 0.55 \n", + "k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Bradyrhizobiaceae.g__Balneimonas.s__.5 0.58 \n", + "k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.65 0.39 \n", + "k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.23 0.31 \n", + "k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Kaistobacter.s__.23 0.36 \n", + "k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.83 0.20 " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "rownames(feature_prob) = colnames(taxa)\n", + "head(feature_prob[order(-feature_prob[, 1]), ], 10) # descending order" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": {}, + "outputs": [], + "source": [ + "write.table(feature_prob, file='../data_application/88soils/soils_slection_prob.txt', sep='\\t', col.names=NA)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# from Jamie's paper: Acidobacteria, Actinobacteria, Bacteroidetes, alpha-, beta-, and gammaproteobacteria \n", + "# are all associated with ph\n", + "## summary: what been selected by compLasso & lasso almost all belong to above ranges" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "R", + "language": "R", + "name": "ir" + }, + "language_info": { + "codemirror_mode": "r", + "file_extension": ".r", + "mimetype": "text/x-r-source", + "name": "R", + "pygments_lexer": "r", + "version": "3.6.1" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/data_application/notebooks_application/4.2 88soils_results_filter1%.ipynb b/data_application/notebooks_application/4.2 88soils_results_filter1%.ipynb new file mode 100644 index 0000000..055e98e --- /dev/null +++ b/data_application/notebooks_application/4.2 88soils_results_filter1%.ipynb @@ -0,0 +1,455 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "load('../data_application/88soils/filter_onepercent/soils_ph_compLasso.RData')\n", + "load('../data_application/88soils/filter_onepercent/soils_ph_elnet.RData')\n", + "load('../data_application/88soils/filter_onepercent/soils_ph_lasso.RData')\n", + "load('../data_application/88soils/filter_onepercent/soils_ph_rf.RData')" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
      \n", + "\t
    1. 0.39
      2. \n", + "\t
    2. 0.46
      3. \n", + "
    \n" + ], + "text/latex": [ + "\\begin{enumerate*}\n", + "\\item 0.39\n", + "\\item 0.46\n", + "\\end{enumerate*}\n" + ], + "text/markdown": [ + "1. 0.39\n", + "2. 0.46\n", + "\n", + "\n" + ], + "text/plain": [ + "[1] 0.39 0.46" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "c(out_compLasso$stab_index, out_compLasso$MSE_mean)" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
      \n", + "\t
    1. 0.31
      2. \n", + "\t
    2. 0.34
      3. \n", + "
    \n" + ], + "text/latex": [ + "\\begin{enumerate*}\n", + "\\item 0.31\n", + "\\item 0.34\n", + "\\end{enumerate*}\n" + ], + "text/markdown": [ + "1. 0.31\n", + "2. 0.34\n", + "\n", + "\n" + ], + "text/plain": [ + "[1] 0.31 0.34" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "c(out_lasso$stab_index, out_lasso$MSE_mean) " + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
      \n", + "\t
    1. 0.16
      2. \n", + "\t
    2. 0.23
      3. \n", + "
    \n" + ], + "text/latex": [ + "\\begin{enumerate*}\n", + "\\item 0.16\n", + "\\item 0.23\n", + "\\end{enumerate*}\n" + ], + "text/markdown": [ + "1. 0.16\n", + "2. 0.23\n", + "\n", + "\n" + ], + "text/plain": [ + "[1] 0.16 0.23" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "c(out_elnet$stab_index, out_elnet$MSE_mean)" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
      \n", + "\t
    1. 0.04
      2. \n", + "\t
    2. 0.26
      3. \n", + "
    \n" + ], + "text/latex": [ + "\\begin{enumerate*}\n", + "\\item 0.04\n", + "\\item 0.26\n", + "\\end{enumerate*}\n" + ], + "text/markdown": [ + "1. 0.04\n", + "2. 0.26\n", + "\n", + "\n" + ], + "text/plain": [ + "[1] 0.04 0.26" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "c(out_rf$stab_index, out_rf$MSE_mean)" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", + "\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\n", + "
    datasetmethodmsestability
    soil_88 lasso 0.34 0.31
    soil_88 elent 0.23 0.16
    soil_88 rf 0.26 0.04
    soil_88 compLasso0.46 0.39
    \n" + ], + "text/latex": [ + "\\begin{tabular}{r|llll}\n", + " dataset & method & mse & stability\\\\\n", + "\\hline\n", + "\t soil\\_88 & lasso & 0.34 & 0.31 \\\\\n", + "\t soil\\_88 & elent & 0.23 & 0.16 \\\\\n", + "\t soil\\_88 & rf & 0.26 & 0.04 \\\\\n", + "\t soil\\_88 & compLasso & 0.46 & 0.39 \\\\\n", + "\\end{tabular}\n" + ], + "text/markdown": [ + "\n", + "| dataset | method | mse | stability |\n", + "|---|---|---|---|\n", + "| soil_88 | lasso | 0.34 | 0.31 |\n", + "| soil_88 | elent | 0.23 | 0.16 |\n", + "| soil_88 | rf | 0.26 | 0.04 |\n", + "| soil_88 | compLasso | 0.46 | 0.39 |\n", + "\n" + ], + "text/plain": [ + " dataset method mse stability\n", + "1 soil_88 lasso 0.34 0.31 \n", + "2 soil_88 elent 0.23 0.16 \n", + "3 soil_88 rf 0.26 0.04 \n", + "4 soil_88 compLasso 0.46 0.39 " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# combine and export results\n", + "soil_88 = as.data.frame(matrix(NA, nrow=4, ncol=4))\n", + "colnames(soil_88) = c('dataset', 'method', 'mse', 'stability')\n", + "soil_88$dataset = 'soil_88'\n", + "soil_88$method = c('lasso', 'elent', 'rf', 'compLasso')\n", + "soil_88$mse = c(out_lasso$MSE_mean, out_elnet$MSE_mean, out_rf$MSE_mean, out_compLasso$MSE_mean)\n", + "soil_88$stability = c(out_lasso$stab_index, out_elnet$stab_index, out_rf$stab_index, out_compLasso$stab_index)\n", + "soil_88\n", + "#write.table(soil_88, file='../data_application/88soils/filter_onepercent/table_soil_88.txt', sep='\\t', row.names=F)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### add selection probability for each feature selection methods" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [], + "source": [ + "load('../data_application/88soils/filter_onepercent/soils_ph.RData')" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
      \n", + "\t
    1. 89
      2. \n", + "\t
    2. 2183
      3. \n", + "
    \n" + ], + "text/latex": [ + "\\begin{enumerate*}\n", + "\\item 89\n", + "\\item 2183\n", + "\\end{enumerate*}\n" + ], + "text/markdown": [ + "1. 89\n", + "2. 2183\n", + "\n", + "\n" + ], + "text/plain": [ + "[1] 89 2183" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "dim(taxa) # correct dimension" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [], + "source": [ + "prob_compLasso = colSums(out_compLasso$stab_table)/dim(out_compLasso$stab_table)[1]\n", + "prob_lasso = colSums(out_lasso$stab_table)/dim(out_lasso$stab_table)[1]\n", + "prob_elnet = colSums(out_elnet$stab_table)/dim(out_elnet$stab_table)[1]\n", + "prob_rf = colSums(out_rf$stab_table)/dim(out_rf$stab_table)[1]\n", + "feature_prob = t(data.frame(rbind(prob_compLasso, prob_lasso, prob_elnet, prob_rf)))" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", + "\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\n", + "
    prob_compLassoprob_lassoprob_elnetprob_rf
    k__Bacteria.p__Actinobacteria.c__Rubrobacteria.o__Rubrobacterales.f__Rubrobacteraceae.g__Rubrobacter.s__.200.960.980.990.62
    k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.1310.910.920.900.60
    k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Bradyrhizobiaceae.g__Balneimonas.s__.110.900.860.850.63
    k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.80.880.860.900.58
    k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.870.800.840.940.60
    k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.650.620.660.940.39
    k__Bacteria.p__Actinobacteria.c__Rubrobacteria.o__Rubrobacterales.f__Rubrobacteraceae.g__Rubrobacter.s__.220.580.710.920.24
    k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Kaistobacter.s__.230.570.590.810.34
    k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Bradyrhizobiaceae.g__Balneimonas.s__.50.560.370.650.66
    k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.830.540.640.870.19
    \n" + ], + "text/latex": [ + "\\begin{tabular}{r|llll}\n", + " & prob\\_compLasso & prob\\_lasso & prob\\_elnet & prob\\_rf\\\\\n", + "\\hline\n", + "\tk\\_\\_Bacteria.p\\_\\_Actinobacteria.c\\_\\_Rubrobacteria.o\\_\\_Rubrobacterales.f\\_\\_Rubrobacteraceae.g\\_\\_Rubrobacter.s\\_\\_.20 & 0.96 & 0.98 & 0.99 & 0.62\\\\\n", + "\tk\\_\\_Bacteria.p\\_\\_Proteobacteria.c\\_\\_Alphaproteobacteria.o\\_\\_Rhizobiales.f\\_\\_Hyphomicrobiaceae.g\\_\\_Rhodoplanes.s\\_\\_.131 & 0.91 & 0.92 & 0.90 & 0.60\\\\\n", + "\tk\\_\\_Bacteria.p\\_\\_Proteobacteria.c\\_\\_Alphaproteobacteria.o\\_\\_Rhizobiales.f\\_\\_Bradyrhizobiaceae.g\\_\\_Balneimonas.s\\_\\_.11 & 0.90 & 0.86 & 0.85 & 0.63\\\\\n", + "\tk\\_\\_Bacteria.p\\_\\_Acidobacteria.c\\_\\_Solibacteres.o\\_\\_Solibacterales.f\\_\\_Solibacteraceae.g\\_\\_Candidatus.Solibacter.s\\_\\_.8 & 0.88 & 0.86 & 0.90 & 0.58\\\\\n", + "\tk\\_\\_Bacteria.p\\_\\_Proteobacteria.c\\_\\_Alphaproteobacteria.o\\_\\_Rhizobiales.f\\_\\_Hyphomicrobiaceae.g\\_\\_Rhodoplanes.s\\_\\_.87 & 0.80 & 0.84 & 0.94 & 0.60\\\\\n", + "\tk\\_\\_Bacteria.p\\_\\_Proteobacteria.c\\_\\_Alphaproteobacteria.o\\_\\_Rhizobiales.f\\_\\_Hyphomicrobiaceae.g\\_\\_Rhodoplanes.s\\_\\_.65 & 0.62 & 0.66 & 0.94 & 0.39\\\\\n", + "\tk\\_\\_Bacteria.p\\_\\_Actinobacteria.c\\_\\_Rubrobacteria.o\\_\\_Rubrobacterales.f\\_\\_Rubrobacteraceae.g\\_\\_Rubrobacter.s\\_\\_.22 & 0.58 & 0.71 & 0.92 & 0.24\\\\\n", + "\tk\\_\\_Bacteria.p\\_\\_Proteobacteria.c\\_\\_Alphaproteobacteria.o\\_\\_Sphingomonadales.f\\_\\_Sphingomonadaceae.g\\_\\_Kaistobacter.s\\_\\_.23 & 0.57 & 0.59 & 0.81 & 0.34\\\\\n", + "\tk\\_\\_Bacteria.p\\_\\_Proteobacteria.c\\_\\_Alphaproteobacteria.o\\_\\_Rhizobiales.f\\_\\_Bradyrhizobiaceae.g\\_\\_Balneimonas.s\\_\\_.5 & 0.56 & 0.37 & 0.65 & 0.66\\\\\n", + "\tk\\_\\_Bacteria.p\\_\\_Proteobacteria.c\\_\\_Alphaproteobacteria.o\\_\\_Rhizobiales.f\\_\\_Hyphomicrobiaceae.g\\_\\_Rhodoplanes.s\\_\\_.83 & 0.54 & 0.64 & 0.87 & 0.19\\\\\n", + "\\end{tabular}\n" + ], + "text/markdown": [ + "\n", + "| | prob_compLasso | prob_lasso | prob_elnet | prob_rf |\n", + "|---|---|---|---|---|\n", + "| k__Bacteria.p__Actinobacteria.c__Rubrobacteria.o__Rubrobacterales.f__Rubrobacteraceae.g__Rubrobacter.s__.20 | 0.96 | 0.98 | 0.99 | 0.62 |\n", + "| k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.131 | 0.91 | 0.92 | 0.90 | 0.60 |\n", + "| k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Bradyrhizobiaceae.g__Balneimonas.s__.11 | 0.90 | 0.86 | 0.85 | 0.63 |\n", + "| k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.8 | 0.88 | 0.86 | 0.90 | 0.58 |\n", + "| k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.87 | 0.80 | 0.84 | 0.94 | 0.60 |\n", + "| k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.65 | 0.62 | 0.66 | 0.94 | 0.39 |\n", + "| k__Bacteria.p__Actinobacteria.c__Rubrobacteria.o__Rubrobacterales.f__Rubrobacteraceae.g__Rubrobacter.s__.22 | 0.58 | 0.71 | 0.92 | 0.24 |\n", + "| k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Kaistobacter.s__.23 | 0.57 | 0.59 | 0.81 | 0.34 |\n", + "| k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Bradyrhizobiaceae.g__Balneimonas.s__.5 | 0.56 | 0.37 | 0.65 | 0.66 |\n", + "| k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.83 | 0.54 | 0.64 | 0.87 | 0.19 |\n", + "\n" + ], + "text/plain": [ + " prob_compLasso\n", + "k__Bacteria.p__Actinobacteria.c__Rubrobacteria.o__Rubrobacterales.f__Rubrobacteraceae.g__Rubrobacter.s__.20 0.96 \n", + "k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.131 0.91 \n", + "k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Bradyrhizobiaceae.g__Balneimonas.s__.11 0.90 \n", + "k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.8 0.88 \n", + "k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.87 0.80 \n", + "k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.65 0.62 \n", + "k__Bacteria.p__Actinobacteria.c__Rubrobacteria.o__Rubrobacterales.f__Rubrobacteraceae.g__Rubrobacter.s__.22 0.58 \n", + "k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Kaistobacter.s__.23 0.57 \n", + "k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Bradyrhizobiaceae.g__Balneimonas.s__.5 0.56 \n", + "k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.83 0.54 \n", + " prob_lasso\n", + "k__Bacteria.p__Actinobacteria.c__Rubrobacteria.o__Rubrobacterales.f__Rubrobacteraceae.g__Rubrobacter.s__.20 0.98 \n", + "k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.131 0.92 \n", + "k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Bradyrhizobiaceae.g__Balneimonas.s__.11 0.86 \n", + "k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.8 0.86 \n", + "k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.87 0.84 \n", + "k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.65 0.66 \n", + "k__Bacteria.p__Actinobacteria.c__Rubrobacteria.o__Rubrobacterales.f__Rubrobacteraceae.g__Rubrobacter.s__.22 0.71 \n", + "k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Kaistobacter.s__.23 0.59 \n", + "k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Bradyrhizobiaceae.g__Balneimonas.s__.5 0.37 \n", + "k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.83 0.64 \n", + " prob_elnet\n", + "k__Bacteria.p__Actinobacteria.c__Rubrobacteria.o__Rubrobacterales.f__Rubrobacteraceae.g__Rubrobacter.s__.20 0.99 \n", + "k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.131 0.90 \n", + "k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Bradyrhizobiaceae.g__Balneimonas.s__.11 0.85 \n", + "k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.8 0.90 \n", + "k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.87 0.94 \n", + "k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.65 0.94 \n", + "k__Bacteria.p__Actinobacteria.c__Rubrobacteria.o__Rubrobacterales.f__Rubrobacteraceae.g__Rubrobacter.s__.22 0.92 \n", + "k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Kaistobacter.s__.23 0.81 \n", + "k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Bradyrhizobiaceae.g__Balneimonas.s__.5 0.65 \n", + "k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.83 0.87 \n", + " prob_rf\n", + "k__Bacteria.p__Actinobacteria.c__Rubrobacteria.o__Rubrobacterales.f__Rubrobacteraceae.g__Rubrobacter.s__.20 0.62 \n", + "k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.131 0.60 \n", + "k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Bradyrhizobiaceae.g__Balneimonas.s__.11 0.63 \n", + "k__Bacteria.p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter.s__.8 0.58 \n", + "k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.87 0.60 \n", + "k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.65 0.39 \n", + "k__Bacteria.p__Actinobacteria.c__Rubrobacteria.o__Rubrobacterales.f__Rubrobacteraceae.g__Rubrobacter.s__.22 0.24 \n", + "k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Sphingomonadales.f__Sphingomonadaceae.g__Kaistobacter.s__.23 0.34 \n", + "k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Bradyrhizobiaceae.g__Balneimonas.s__.5 0.66 \n", + "k__Bacteria.p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes.s__.83 0.19 " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "rownames(feature_prob) = colnames(taxa)\n", + "head(feature_prob[order(-feature_prob[, 1]), ], 10) # descending order" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [], + "source": [ + "write.table(feature_prob, file='../data_application/88soils/filter_onepercent/soils_slection_prob.txt', sep='\\t', col.names=NA)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# top 5 from compLasso \n", + "# p__Actinobacteria.c__Rubrobacteria.o__Rubrobacterales.f__Rubrobacteraceae.g__Rubrobacter: 0.96\n", + "# p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes: 0.91\n", + "# p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Bradyrhizobiaceae.g__Balneimonas: 0.9\n", + "# p__Acidobacteria.c__Solibacteres.o__Solibacterales.f__Solibacteraceae.g__Candidatus.Solibacter: 0.88\n", + "# p__Proteobacteria.c__Alphaproteobacteria.o__Rhizobiales.f__Hyphomicrobiaceae.g__Rhodoplanes: 0.8" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# from Jamie's paper: Acidobacteria, Actinobacteria, Bacteroidetes, alpha-, beta-, and gammaproteobacteria \n", + "# are all associated with ph\n", + "## summary: what been selected by compLasso all belong to above ranges" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "R", + "language": "R", + "name": "ir" + }, + "language_info": { + "codemirror_mode": "r", + "file_extension": ".r", + "mimetype": "text/x-r-source", + "name": "R", + "pygments_lexer": "r", + "version": "3.6.1" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/data_application/notebooks_application/4.3 88soils_testing.ipynb b/data_application/notebooks_application/4.3 88soils_testing.ipynb new file mode 100644 index 0000000..f5694b9 --- /dev/null +++ b/data_application/notebooks_application/4.3 88soils_testing.ipynb @@ -0,0 +1,61638 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "load('../data_application/88soils/boot/soils_ph_boot_compLasso.RData')\n", + "load('../data_application/88soils/boot/soils_ph_boot_rf.RData')" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
    \n", + "\t
    $num_boot
    \n", + "\t\t
    100
    \n", + "\t
    $method
    \n", + "\t\t
    'RF'
    \n", + "\t
    $stab_index
    \n", + "\t\t
      \n", + "\t
    1. 0.03
      2. \n", + "\t
    2. 0.04
      3. \n", + "\t
    3. 0.02
      4. \n", + "\t
    4. 0.03
      5. \n", + "\t
    5. 0.03
      6. \n", + "\t
    6. 0.03
      7. \n", + "\t
    7. 0.04
      8. \n", + "\t
    8. 0.03
      9. \n", + "\t
    9. 0.03
      10. \n", + "\t
    10. 0.04
      11. \n", + "\t
    11. 0.04
      12. \n", + "\t
    12. 0.04
      13. \n", + "\t
    13. 0.04
      14. \n", + "\t
    14. 0.04
      15. \n", + "\t
    15. 0.03
      16. \n", + "\t
    16. 0.05
      17. \n", + "\t
    17. 0.05
      18. \n", + "\t
    18. 0.04
      19. \n", + "\t
    19. 0.05
      20. \n", + "\t
    20. 0.05
      21. \n", + "\t
    21. 0.06
      22. \n", + "\t
    22. 0.04
      23. \n", + "\t
    23. 0.03
      24. \n", + "\t
    24. 0.03
      25. \n", + "\t
    25. 0.02
      26. \n", + "\t
    26. 0.03
      27. \n", + "\t
    27. 0.03
      28. \n", + "\t
    28. 0.05
      29. \n", + "\t
    29. 0.03
      30. \n", + "\t
    30. 0.06
      31. \n", + "\t
    31. 0.04
      32. \n", + "\t
    32. 0.03
      33. \n", + "\t
    33. 0.03
      34. \n", + "\t
    34. 0.05
      35. \n", + "\t
    35. 0.06
      36. \n", + "\t
    36. 0.03
      37. \n", + "\t
    37. 0.04
      38. \n", + "\t
    38. 0.03
      39. \n", + "\t
    39. 0.04
      40. \n", + "\t
    40. 0.03
      41. \n", + "\t
    41. 0.04
      42. \n", + "\t
    42. 0.04
      43. \n", + "\t
    43. 0.04
      44. \n", + "\t
    44. 0.02
      45. \n", + "\t
    45. 0.04
      46. \n", + "\t
    46. 0.03
      47. \n", + "\t
    47. 0.05
      48. \n", + "\t
    48. 0.04
      49. \n", + "\t
    49. 0.04
      50. \n", + "\t
    50. 0.04
      51. \n", + "\t
    51. 0.03
      52. \n", + "\t
    52. 0.03
      53. \n", + "\t
    53. 0.04
      54. \n", + "\t
    54. 0.03
      55. \n", + "\t
    55. 0.06
      56. \n", + "\t
    56. 0.04
      57. \n", + "\t
    57. 0.04
      58. \n", + "\t
    58. 0.05
      59. \n", + "\t
    59. 0.03
      60. \n", + "\t
    60. 0.02
      61. \n", + "\t
    61. 0.03
      62. \n", + "\t
    62. 0.04
      63. \n", + "\t
    63. 0.04
      64. \n", + "\t
    64. 0.03
      65. \n", + "\t
    65. 0.03
      66. \n", + "\t
    66. 0.03
      67. \n", + "\t
    67. 0.05
      68. \n", + "\t
    68. 0.03
      69. \n", + "\t
    69. 0.03
      70. \n", + "\t
    70. 0.03
      71. \n", + "\t
    71. 0.03
      72. \n", + "\t
    72. 0.03
      73. \n", + "\t
    73. 0.04
      74. \n", + "\t
    74. 0.04
      75. \n", + "\t
    75. 0.05
      76. \n", + "\t
    76. 0.03
      77. \n", + "\t
    77. 0.04
      78. \n", + "\t
    78. 0.04
      79. \n", + "\t
    79. 0.04
      80. \n", + "\t
    80. 0.04
      81. \n", + "\t
    81. 0.04
      82. \n", + "\t
    82. 0.03
      83. \n", + "\t
    83. 0.05
      84. \n", + "\t
    84. 0.06
      85. \n", + "\t
    85. 0.03
      86. \n", + "\t
    86. 0.04
      87. \n", + "\t
    87. 0.03
      88. \n", + "\t
    88. 0.06
      89. \n", + "\t
    89. 0.02
      90. \n", + "\t
    90. 0.03
      91. \n", + "\t
    91. 0.03
      92. \n", + "\t
    92. 0.05
      93. \n", + "\t
    93. 0.04
      94. \n", + "\t
    94. 0.04
      95. \n", + "\t
    95. 0.04
      96. \n", + "\t
    96. 0.03
      97. \n", + "\t
    97. 0.04
      98. \n", + "\t
    98. 0.04
      99. \n", + "\t
    99. 0.04
      100. \n", + "\t
    100. 0.04
      101. \n", + "
    \n", + "
    \n", + "\t
    $MSE_list
    \n", + "\t\t
      \n", + "\t
      1. \n", + "\t
      1. 0.201774342708874
        2. \n", + "\t
      2. 0.367002739431225
        3. \n", + "\t
      3. 0.347321353062762
        4. \n", + "\t
      4. 0.187833797243742
        5. \n", + "\t
      5. 0.212634780319804
        6. \n", + "\t
      6. 0.210875652059074
        7. \n", + "\t
      7. 0.221087360943093
        8. \n", + "\t
      8. 0.183236020527385
        9. \n", + "\t
      9. 0.277330042699436
        10. \n", + "\t
      10. 0.313091584167215
        11. \n", + "\t
      11. 0.252829297436607
        12. \n", + "\t
      12. 0.201535693890082
        13. \n", + "\t
      13. 0.154105406862645
        14. \n", + "\t
      14. 0.213888812801475
        15. \n", + "\t
      15. 0.253882961686792
        16. \n", + "\t
      16. 0.104247591613994
        17. \n", + "\t
      17. 0.328083039954627
        18. \n", + "\t
      18. 0.274923268096096
        19. \n", + "\t
      19. 0.329253804390263
        20. \n", + "\t
      20. 0.239857188701708
        21. \n", + "\t
      21. 0.285953092825099
        22. \n", + "\t
      22. 0.241374274189174
        23. \n", + "\t
      23. 0.277862549603816
        24. \n", + "\t
      24. 0.351196449125011
        25. \n", + "\t
      25. 0.37296490561996
        26. \n", + "\t
      26. 0.0459176127204355
        27. \n", + "\t
      27. 0.189737480297106
        28. \n", + "\t
      28. 0.237209467005608
        29. \n", + "\t
      29. 0.321019129930169
        30. \n", + "\t
      30. 0.283357364511277
        31. \n", + "\t
      31. 0.269888911566795
        32. \n", + "\t
      32. 0.239286407259001
        33. \n", + "\t
      33. 0.225136701523363
        34. \n", + "\t
      34. 0.285702793036439
        35. \n", + "\t
      35. 0.18717868537626
        36. \n", + "\t
      36. 0.26520510856703
        37. \n", + "\t
      37. 0.279846208994034
        38. \n", + "\t
      38. 0.237035594706878
        39. \n", + "\t
      39. 0.30548607165726
        40. \n", + "\t
      40. 0.201682050379622
        41. \n", + "\t
      41. 0.200778768369014
        42. \n", + "\t
      42. 0.232629020475939
        43. \n", + "\t
      43. 0.225031194405874
        44. \n", + "\t
      44. 0.321123187651997
        45. \n", + "\t
      45. 0.203047270632305
        46. \n", + "\t
      46. 0.0842951922361102
        47. \n", + "\t
      47. 0.132819251452149
        48. \n", + "\t
      48. 0.249180885247385
        49. \n", + "\t
      49. 0.449703579181221
        50. \n", + "\t
      50. 0.373724845977332
        51. \n", + "\t
      51. 0.231442860291785
        52. \n", + "\t
      52. 0.410790925773465
        53. \n", + "\t
      53. 0.209594422635705
        54. \n", + "\t
      54. 0.319170905986656
        55. \n", + "\t
      55. 0.363532827233284
        56. \n", + "\t
      56. 0.222440079459978
        57. \n", + "\t
      57. 0.372912189794012
        58. \n", + "\t
      58. 0.392914897775438
        59. \n", + "\t
      59. 0.324093510065346
        60. \n", + "\t
      60. 0.266753196508865
        61. \n", + "\t
      61. 0.165316990415932
        62. \n", + "\t
      62. 0.0903874947021871
        63. \n", + "\t
      63. 0.217130109849503
        64. \n", + "\t
      64. 0.151693775061472
        65. \n", + "\t
      65. 0.194324576643408
        66. \n", + "\t
      66. 0.164174659968436
        67. \n", + "\t
      67. 0.285832176771582
        68. \n", + "\t
      68. 0.227925621401444
        69. \n", + "\t
      69. 0.17771878028321
        70. \n", + "\t
      70. 0.263235109569787
        71. \n", + "\t
      71. 0.259342970518129
        72. \n", + "\t
      72. 0.324855122492665
        73. \n", + "\t
      73. 0.119318466381913
        74. \n", + "\t
      74. 0.152207909662821
        75. \n", + "\t
      75. 0.313567297425037
        76. \n", + "\t
      76. 0.290771858941273
        77. \n", + "\t
      77. 0.228192760069549
        78. \n", + "\t
      78. 0.350743497468571
        79. \n", + "\t
      79. 0.176665813895496
        80. \n", + "\t
      80. 0.182789373651558
        81. \n", + "\t
      81. 0.263976829401025
        82. \n", + "\t
      82. 0.391056643787704
        83. \n", + "\t
      83. 0.338979096549215
        84. \n", + "\t
      84. 0.149135602669803
        85. \n", + "\t
      85. 0.328308180295887
        86. \n", + "\t
      86. 0.339481202433384
        87. \n", + "\t
      87. 0.211240191574141
        88. \n", + "\t
      88. 0.204149887601893
        89. \n", + "\t
      89. 0.353464909809868
        90. \n", + "\t
      90. 0.271519590335686
        91. \n", + "\t
      91. 0.290610977637217
        92. \n", + "\t
      92. 0.174514543380127
        93. \n", + "\t
      93. 0.275962279682781
        94. \n", + "\t
      94. 0.24190366040256
        95. \n", + "\t
      95. 0.25420773595058
        96. \n", + "\t
      96. 0.151726336835321
        97. \n", + "\t
      97. 0.163359483266437
        98. \n", + "\t
      98. 0.273445379396894
        99. \n", + "\t
      99. 0.279056040405612
        100. \n", + "\t
      100. 0.289078543557392
        101. \n", + "
      \n", + "
      2. \n", + "\t
      2. \n", + "\t
      1. 0.168649453820619
        2. \n", + "\t
      2. 0.217270509188938
        3. \n", + "\t
      3. 0.268106055214043
        4. \n", + "\t
      4. 0.370195516537672
        5. \n", + "\t
      5. 0.127536074255354
        6. \n", + "\t
      6. 0.311471147701895
        7. \n", + "\t
      7. 0.399582017509592
        8. \n", + "\t
      8. 0.258615016791409
        9. \n", + "\t
      9. 0.159183292471608
        10. \n", + "\t
      10. 0.285704138313807
        11. \n", + "\t
      11. 0.179984877242506
        12. \n", + "\t
      12. 0.323051519539947
        13. \n", + "\t
      13. 0.21615104829391
        14. \n", + "\t
      14. 0.353388618538419
        15. \n", + "\t
      15. 0.271650830177836
        16. \n", + "\t
      16. 0.357355262658282
        17. \n", + "\t
      17. 0.121344545374812
        18. \n", + "\t
      18. 0.175060775519691
        19. \n", + "\t
      19. 0.196385543006233
        20. \n", + "\t
      20. 0.255459180282134
        21. \n", + "\t
      21. 0.214438961955632
        22. \n", + "\t
      22. 0.327932719737282
        23. \n", + "\t
      23. 0.208410239747753
        24. \n", + "\t
      24. 0.351853731396282
        25. \n", + "\t
      25. 0.36683571788394
        26. \n", + "\t
      26. 0.285832677025815
        27. \n", + "\t
      27. 0.168916992237808
        28. \n", + "\t
      28. 0.28070092376775
        29. \n", + "\t
      29. 0.21857914359001
        30. \n", + "\t
      30. 0.290784078915704
        31. \n", + "\t
      31. 0.316422823078941
        32. \n", + "\t
      32. 0.315352878544981
        33. \n", + "\t
      33. 0.199462205255271
        34. \n", + "\t
      34. 0.271263255035104
        35. \n", + "\t
      35. 0.24627301311847
        36. \n", + "\t
      36. 0.312983071109783
        37. \n", + "\t
      37. 0.208495868753505
        38. \n", + "\t
      38. 0.215925900898082
        39. \n", + "\t
      39. 0.273999295494476
        40. \n", + "\t
      40. 0.349059923755184
        41. \n", + "\t
      41. 0.260163363252043
        42. \n", + "\t
      42. 0.374928964548939
        43. \n", + "\t
      43. 0.246685887210515
        44. \n", + "\t
      44. 0.256543311668925
        45. \n", + "\t
      45. 0.197534233593325
        46. \n", + "\t
      46. 0.260609201169074
        47. \n", + "\t
      47. 0.277852335609497
        48. \n", + "\t
      48. 0.206300994431788
        49. \n", + "\t
      49. 0.210693075181785
        50. \n", + "\t
      50. 0.247328333144037
        51. \n", + "\t
      51. 0.343221469866495
        52. \n", + "\t
      52. 0.187466626711526
        53. \n", + "\t
      53. 0.189371476770436
        54. \n", + "\t
      54. 0.232375240394445
        55. \n", + "\t
      55. 0.191822038196943
        56. \n", + "\t
      56. 0.268928213108853
        57. \n", + "\t
      57. 0.244590055789285
        58. \n", + "\t
      58. 0.242603223196119
        59. \n", + "\t
      59. 0.228595065032681
        60. \n", + "\t
      60. 0.129839086323535
        61. \n", + "\t
      61. 0.319472667188887
        62. \n", + "\t
      62. 0.31668162815947
        63. \n", + "\t
      63. 0.245327696390127
        64. \n", + "\t
      64. 0.197116671855861
        65. \n", + "\t
      65. 0.175331719368148
        66. \n", + "\t
      66. 0.202151614830716
        67. \n", + "\t
      67. 0.190776973100114
        68. \n", + "\t
      68. 0.298467459893127
        69. \n", + "\t
      69. 0.159892678927822
        70. \n", + "\t
      70. 0.23239284034955
        71. \n", + "\t
      71. 0.213085580864166
        72. \n", + "\t
      72. 0.212534631100001
        73. \n", + "\t
      73. 0.165427213804092
        74. \n", + "\t
      74. 0.20440611138784
        75. \n", + "\t
      75. 0.213982355851121
        76. \n", + "\t
      76. 0.327926612449784
        77. \n", + "\t
      77. 0.311676796999944
        78. \n", + "\t
      78. 0.22743088642993
        79. \n", + "\t
      79. 0.327657124745305
        80. \n", + "\t
      80. 0.311882656048529
        81. \n", + "\t
      81. 0.233835092793675
        82. \n", + "\t
      82. 0.256670762314346
        83. \n", + "\t
      83. 0.237895771354834
        84. \n", + "\t
      84. 0.313757094025441
        85. \n", + "\t
      85. 0.297948292036202
        86. \n", + "\t
      86. 0.211345786517538
        87. \n", + "\t
      87. 0.191788417509479
        88. \n", + "\t
      88. 0.298951666854841
        89. \n", + "\t
      89. 0.279440709919989
        90. \n", + "\t
      90. 0.251213633516391
        91. \n", + "\t
      91. 0.3083460601569
        92. \n", + "\t
      92. 0.283929851064096
        93. \n", + "\t
      93. 0.360659724276887
        94. \n", + "\t
      94. 0.289529578511412
        95. \n", + "\t
      95. 0.275032613741432
        96. \n", + "\t
      96. 0.220828263299377
        97. \n", + "\t
      97. 0.16721992655647
        98. \n", + "\t
      98. 0.293743129174941
        99. \n", + "\t
      99. 0.176478661911269
        100. \n", + "\t
      100. 0.438410445273826
        101. \n", + "
      \n", + "
      3. \n", + "\t
      3. \n", + "\t
      1. 0.292970376874829
        2. \n", + "\t
      2. 0.223365610132781
        3. \n", + "\t
      3. 0.204196891924858
        4. \n", + "\t
      4. 0.209761452987763
        5. \n", + "\t
      5. 0.238738513992169
        6. \n", + "\t
      6. 0.351228202233672
        7. \n", + "\t
      7. 0.261291153715451
        8. \n", + "\t
      8. 0.28577244103529
        9. \n", + "\t
      9. 0.36777364735798
        10. \n", + "\t
      10. 0.119425488694248
        11. \n", + "\t
      11. 0.2720269706561
        12. \n", + "\t
      12. 0.304139235365685
        13. \n", + "\t
      13. 0.257868429728152
        14. \n", + "\t
      14. 0.147604173850993
        15. \n", + "\t
      15. 0.260368858738336
        16. \n", + "\t
      16. 0.226627509749219
        17. \n", + "\t
      17. 0.212570274944816
        18. \n", + "\t
      18. 0.228037195927181
        19. \n", + "\t
      19. 0.204686855119717
        20. \n", + "\t
      20. 0.233243322609726
        21. \n", + "\t
      21. 0.23169617278227
        22. \n", + "\t
      22. 0.216909370895615
        23. \n", + "\t
      23. 0.19224513724151
        24. \n", + "\t
      24. 0.186737359017209
        25. \n", + "\t
      25. 0.239785417921431
        26. \n", + "\t
      26. 0.140307289182006
        27. \n", + "\t
      27. 0.098557369744294
        28. \n", + "\t
      28. 0.219567116475272
        29. \n", + "\t
      29. 0.253302716069123
        30. \n", + "\t
      30. 0.202563958014256
        31. \n", + "\t
      31. 0.199954630711277
        32. \n", + "\t
      32. 0.284539833227144
        33. \n", + "\t
      33. 0.353027759303865
        34. \n", + "\t
      34. 0.265130437510405
        35. \n", + "\t
      35. 0.288092788800975
        36. \n", + "\t
      36. 0.232956751455579
        37. \n", + "\t
      37. 0.174631496395585
        38. \n", + "\t
      38. 0.198375548641845
        39. \n", + "\t
      39. 0.127384579483984
        40. \n", + "\t
      40. 0.0458779016311549
        41. \n", + "\t
      41. 0.240059700806701
        42. \n", + "\t
      42. 0.198937395379927
        43. \n", + "\t
      43. 0.221816885357327
        44. \n", + "\t
      44. 0.134644372175764
        45. \n", + "\t
      45. 0.199896525896629
        46. \n", + "\t
      46. 0.232888835159379
        47. \n", + "\t
      47. 0.280079898053288
        48. \n", + "\t
      48. 0.228095770417984
        49. \n", + "\t
      49. 0.276040047117136
        50. \n", + "\t
      50. 0.220275076528148
        51. \n", + "\t
      51. 0.228947184807771
        52. \n", + "\t
      52. 0.227450121344466
        53. \n", + "\t
      53. 0.260665786199639
        54. \n", + "\t
      54. 0.344855386641989
        55. \n", + "\t
      55. 0.167473464083167
        56. \n", + "\t
      56. 0.054556175573363
        57. \n", + "\t
      57. 0.222727178499859
        58. \n", + "\t
      58. 0.19867150666074
        59. \n", + "\t
      59. 0.328218364480156
        60. \n", + "\t
      60. 0.202054769455452
        61. \n", + "\t
      61. 0.248017958651481
        62. \n", + "\t
      62. 0.133230482356637
        63. \n", + "\t
      63. 0.188540301307866
        64. \n", + "\t
      64. 0.258717477279512
        65. \n", + "\t
      65. 0.112649083893215
        66. \n", + "\t
      66. 0.217050900633969
        67. \n", + "\t
      67. 0.213141599229197
        68. \n", + "\t
      68. 0.234567834078062
        69. \n", + "\t
      69. 0.15599501496467
        70. \n", + "\t
      70. 0.281063265393915
        71. \n", + "\t
      71. 0.188932164266608
        72. \n", + "\t
      72. 0.171244797201143
        73. \n", + "\t
      73. 0.0950166210892767
        74. \n", + "\t
      74. 0.184281750113072
        75. \n", + "\t
      75. 0.343924691743679
        76. \n", + "\t
      76. 0.234004606198146
        77. \n", + "\t
      77. 0.25327657682862
        78. \n", + "\t
      78. 0.124277238787127
        79. \n", + "\t
      79. 0.311532358039067
        80. \n", + "\t
      80. 0.244042388794067
        81. \n", + "\t
      81. 0.177167929855366
        82. \n", + "\t
      82. 0.147514255799604
        83. \n", + "\t
      83. 0.227832762328639
        84. \n", + "\t
      84. 0.247467978139985
        85. \n", + "\t
      85. 0.221163269032827
        86. \n", + "\t
      86. 0.323765601261645
        87. \n", + "\t
      87. 0.310380776049678
        88. \n", + "\t
      88. 0.327717831759276
        89. \n", + "\t
      89. 0.18176124923786
        90. \n", + "\t
      90. 0.181320550821233
        91. \n", + "\t
      91. 0.208529246546554
        92. \n", + "\t
      92. 0.242125569259947
        93. \n", + "\t
      93. 0.21621683216412
        94. \n", + "\t
      94. 0.178980625520734
        95. \n", + "\t
      95. 0.164514795802952
        96. \n", + "\t
      96. 0.157541180282572
        97. \n", + "\t
      97. 0.11916510897911
        98. \n", + "\t
      98. 0.232951989423116
        99. \n", + "\t
      99. 0.226976984343368
        100. \n", + "\t
      100. 0.301068792169526
        101. \n", + "
      \n", + "
      4. \n", + "\t
      4. \n", + "\t
      1. 0.224886383058404
        2. \n", + "\t
      2. 0.146601465709439
        3. \n", + "\t
      3. 0.344379100635202
        4. \n", + "\t
      4. 0.309962377905915
        5. \n", + "\t
      5. 0.374834265013987
        6. \n", + "\t
      6. 0.159216380716071
        7. \n", + "\t
      7. 0.291066744918314
        8. \n", + "\t
      8. 0.290141697467433
        9. \n", + "\t
      9. 0.322824674302816
        10. \n", + "\t
      10. 0.219204102005685
        11. \n", + "\t
      11. 0.423455350840854
        12. \n", + "\t
      12. 0.23696800657826
        13. \n", + "\t
      13. 0.1466288754091
        14. \n", + "\t
      14. 0.279070198106314
        15. \n", + "\t
      15. 0.296556166433194
        16. \n", + "\t
      16. 0.308382600838423
        17. \n", + "\t
      17. 0.227837710379557
        18. \n", + "\t
      18. 0.316134677711096
        19. \n", + "\t
      19. 0.172479801903286
        20. \n", + "\t
      20. 0.179148887206068
        21. \n", + "\t
      21. 0.0764719838396325
        22. \n", + "\t
      22. 0.194219489403483
        23. \n", + "\t
      23. 0.165584384452119
        24. \n", + "\t
      24. 0.304404438494593
        25. \n", + "\t
      25. 0.199847740215389
        26. \n", + "\t
      26. 0.168658102720209
        27. \n", + "\t
      27. 0.271192521310095
        28. \n", + "\t
      28. 0.255053605021541
        29. \n", + "\t
      29. 0.290254675823195
        30. \n", + "\t
      30. 0.289286526128435
        31. \n", + "\t
      31. 0.219284622720952
        32. \n", + "\t
      32. 0.410828005428761
        33. \n", + "\t
      33. 0.125554193943029
        34. \n", + "\t
      34. 0.291634621774793
        35. \n", + "\t
      35. 0.248567860193769
        36. \n", + "\t
      36. 0.300011817032099
        37. \n", + "\t
      37. 0.362374791067677
        38. \n", + "\t
      38. 0.231320939550589
        39. \n", + "\t
      39. 0.230282672571828
        40. \n", + "\t
      40. 0.23249067092364
        41. \n", + "\t
      41. 0.255218932732985
        42. \n", + "\t
      42. 0.239181883042716
        43. \n", + "\t
      43. 0.22513692504377
        44. \n", + "\t
      44. 0.202259817035965
        45. \n", + "\t
      45. 0.234270180047606
        46. \n", + "\t
      46. 0.116708466272156
        47. \n", + "\t
      47. 0.27473707559417
        48. \n", + "\t
      48. 0.365052027050165
        49. \n", + "\t
      49. 0.18236684665122
        50. \n", + "\t
      50. 0.288202529415202
        51. \n", + "\t
      51. 0.15618200886282
        52. \n", + "\t
      52. 0.247231369910339
        53. \n", + "\t
      53. 0.207784431570111
        54. \n", + "\t
      54. 0.28700370251107
        55. \n", + "\t
      55. 0.248244836537611
        56. \n", + "\t
      56. 0.24362639366544
        57. \n", + "\t
      57. 0.189338253737487
        58. \n", + "\t
      58. 0.414661577338388
        59. \n", + "\t
      59. 0.175034411510838
        60. \n", + "\t
      60. 0.192118665280591
        61. \n", + "\t
      61. 0.202291065923612
        62. \n", + "\t
      62. 0.197722622757115
        63. \n", + "\t
      63. 0.19369535612034
        64. \n", + "\t
      64. 0.297724848218149
        65. \n", + "\t
      65. 0.177432875874653
        66. \n", + "\t
      66. 0.250989941013071
        67. \n", + "\t
      67. 0.167732864315987
        68. \n", + "\t
      68. 0.274572292236522
        69. \n", + "\t
      69. 0.314911434733522
        70. \n", + "\t
      70. 0.316553802587468
        71. \n", + "\t
      71. 0.226220851533168
        72. \n", + "\t
      72. 0.138921845823215
        73. \n", + "\t
      73. 0.140722464994732
        74. \n", + "\t
      74. 0.27762540242931
        75. \n", + "\t
      75. 0.161233840069093
        76. \n", + "\t
      76. 0.311569964437023
        77. \n", + "\t
      77. 0.285959327080026
        78. \n", + "\t
      78. 0.285496074399887
        79. \n", + "\t
      79. 0.204610009119848
        80. \n", + "\t
      80. 0.22176609980592
        81. \n", + "\t
      81. 0.194426399567553
        82. \n", + "\t
      82. 0.222829817916989
        83. \n", + "\t
      83. 0.26375453851918
        84. \n", + "\t
      84. 0.337723576251225
        85. \n", + "\t
      85. 0.289705070622093
        86. \n", + "\t
      86. 0.206974484769917
        87. \n", + "\t
      87. 0.160608632751283
        88. \n", + "\t
      88. 0.36334964240081
        89. \n", + "\t
      89. 0.265008671139317
        90. \n", + "\t
      90. 0.270044536367226
        91. \n", + "\t
      91. 0.316473282047724
        92. \n", + "\t
      92. 0.193622498962914
        93. \n", + "\t
      93. 0.279024690221289
        94. \n", + "\t
      94. 0.304635735617187
        95. \n", + "\t
      95. 0.152633730162707
        96. \n", + "\t
      96. 0.330497736806837
        97. \n", + "\t
      97. 0.170023363890876
        98. \n", + "\t
      98. 0.304019746647222
        99. \n", + "\t
      99. 0.184128377876798
        100. \n", + "\t
      100. 0.319234261966038
        101. \n", + "
      \n", + "
      5. \n", + "\t
      5. \n", + "\t
      1. 0.184967984580631
        2. \n", + "\t
      2. 0.212806122140258
        3. \n", + "\t
      3. 0.33907714503728
        4. \n", + "\t
      4. 0.296021090220151
        5. \n", + "\t
      5. 0.195400728315444
        6. \n", + "\t
      6. 0.299607951352089
        7. \n", + "\t
      7. 0.12500833128009
        8. \n", + "\t
      8. 0.311713514478818
        9. \n", + "\t
      9. 0.0925923454270298
        10. \n", + "\t
      10. 0.32101949898756
        11. \n", + "\t
      11. 0.123011191829117
        12. \n", + "\t
      12. 0.24989266101819
        13. \n", + "\t
      13. 0.244275030669233
        14. \n", + "\t
      14. 0.179346027284001
        15. \n", + "\t
      15. 0.180213845828411
        16. \n", + "\t
      16. 0.32504710016673
        17. \n", + "\t
      17. 0.195254255231491
        18. \n", + "\t
      18. 0.201740331466644
        19. \n", + "\t
      19. 0.229179225691133
        20. \n", + "\t
      20. 0.365851203361736
        21. \n", + "\t
      21. 0.276201271615369
        22. \n", + "\t
      22. 0.076810977683485
        23. \n", + "\t
      23. 0.275487260789094
        24. \n", + "\t
      24. 0.202213745853713
        25. \n", + "\t
      25. 0.145602400890055
        26. \n", + "\t
      26. 0.286610389367926
        27. \n", + "\t
      27. 0.209641167669334
        28. \n", + "\t
      28. 0.386140739739626
        29. \n", + "\t
      29. 0.278611532982777
        30. \n", + "\t
      30. 0.190119292760104
        31. \n", + "\t
      31. 0.356805845298362
        32. \n", + "\t
      32. 0.305746543892578
        33. \n", + "\t
      33. 0.367789327700858
        34. \n", + "\t
      34. 0.344519886730268
        35. \n", + "\t
      35. 0.117101059647403
        36. \n", + "\t
      36. 0.162675460782572
        37. \n", + "\t
      37. 0.247041420418654
        38. \n", + "\t
      38. 0.171515430489162
        39. \n", + "\t
      39. 0.219618538007955
        40. \n", + "\t
      40. 0.241652623266254
        41. \n", + "\t
      41. 0.250195590309083
        42. \n", + "\t
      42. 0.166893912272488
        43. \n", + "\t
      43. 0.260479666637691
        44. \n", + "\t
      44. 0.185969933275518
        45. \n", + "\t
      45. 0.251323870441441
        46. \n", + "\t
      46. 0.203561153144497
        47. \n", + "\t
      47. 0.200575321297626
        48. \n", + "\t
      48. 0.26223219366487
        49. \n", + "\t
      49. 0.240955554460676
        50. \n", + "\t
      50. 0.357012783879287
        51. \n", + "\t
      51. 0.109156045417307
        52. \n", + "\t
      52. 0.294455774252191
        53. \n", + "\t
      53. 0.282583317853091
        54. \n", + "\t
      54. 0.272568294641469
        55. \n", + "\t
      55. 0.227913166452197
        56. \n", + "\t
      56. 0.163097603729112
        57. \n", + "\t
      57. 0.140293782097837
        58. \n", + "\t
      58. 0.332287931732974
        59. \n", + "\t
      59. 0.354358501550858
        60. \n", + "\t
      60. 0.261790866075304
        61. \n", + "\t
      61. 0.198756505764512
        62. \n", + "\t
      62. 0.170293565609723
        63. \n", + "\t
      63. 0.248022235091157
        64. \n", + "\t
      64. 0.216410670797081
        65. \n", + "\t
      65. 0.166431039024888
        66. \n", + "\t
      66. 0.253862267840302
        67. \n", + "\t
      67. 0.213583509942298
        68. \n", + "\t
      68. 0.374665404907427
        69. \n", + "\t
      69. 0.136077708637166
        70. \n", + "\t
      70. 0.134595738221394
        71. \n", + "\t
      71. 0.277984938284432
        72. \n", + "\t
      72. 0.304045577939237
        73. \n", + "\t
      73. 0.360298008702665
        74. \n", + "\t
      74. 0.237239425410848
        75. \n", + "\t
      75. 0.202273593297929
        76. \n", + "\t
      76. 0.193270500800706
        77. \n", + "\t
      77. 0.26226544948034
        78. \n", + "\t
      78. 0.294524395881727
        79. \n", + "\t
      79. 0.287759558681104
        80. \n", + "\t
      80. 0.167152549574178
        81. \n", + "\t
      81. 0.0788239517731438
        82. \n", + "\t
      82. 0.247011291876638
        83. \n", + "\t
      83. 0.15400831896227
        84. \n", + "\t
      84. 0.255128425648538
        85. \n", + "\t
      85. 0.230725768807958
        86. \n", + "\t
      86. 0.154851392473061
        87. \n", + "\t
      87. 0.132061783107471
        88. \n", + "\t
      88. 0.21309435379866
        89. \n", + "\t
      89. 0.106216747777884
        90. \n", + "\t
      90. 0.367714062173284
        91. \n", + "\t
      91. 0.106763870127403
        92. \n", + "\t
      92. 0.24992591136903
        93. \n", + "\t
      93. 0.118791093945173
        94. \n", + "\t
      94. 0.147275034451124
        95. \n", + "\t
      95. 0.204694884606961
        96. \n", + "\t
      96. 0.182532547166118
        97. \n", + "\t
      97. 0.112612441608662
        98. \n", + "\t
      98. 0.230157826849567
        99. \n", + "\t
      99. 0.23766079713885
        100. \n", + "\t
      100. 0.298347163995727
        101. \n", + "
      \n", + "
      6. \n", + "\t
      6. \n", + "\t
      1. 0.310882074042407
        2. \n", + "\t
      2. 0.30922962447375
        3. \n", + "\t
      3. 0.274545643695307
        4. \n", + "\t
      4. 0.173471240397953
        5. \n", + "\t
      5. 0.215999596606673
        6. \n", + "\t
      6. 0.309567777543566
        7. \n", + "\t
      7. 0.355852469324509
        8. \n", + "\t
      8. 0.253211491264024
        9. \n", + "\t
      9. 0.275132131224133
        10. \n", + "\t
      10. 0.39241449915515
        11. \n", + "\t
      11. 0.318076367043781
        12. \n", + "\t
      12. 0.13245902663671
        13. \n", + "\t
      13. 0.151192058211677
        14. \n", + "\t
      14. 0.438612418029166
        15. \n", + "\t
      15. 0.288543784881715
        16. \n", + "\t
      16. 0.286947309279341
        17. \n", + "\t
      17. 0.288954008891374
        18. \n", + "\t
      18. 0.236197764616443
        19. \n", + "\t
      19. 0.238886443002993
        20. \n", + "\t
      20. 0.283511196558074
        21. \n", + "\t
      21. 0.124307872809328
        22. \n", + "\t
      22. 0.222317935139929
        23. \n", + "\t
      23. 0.25520891470591
        24. \n", + "\t
      24. 0.226789317198518
        25. \n", + "\t
      25. 0.237939003284526
        26. \n", + "\t
      26. 0.287402964115721
        27. \n", + "\t
      27. 0.2582359962602
        28. \n", + "\t
      28. 0.419456187209062
        29. \n", + "\t
      29. 0.391848350322264
        30. \n", + "\t
      30. 0.337429599938339
        31. \n", + "\t
      31. 0.189948540359083
        32. \n", + "\t
      32. 0.226548041646253
        33. \n", + "\t
      33. 0.289277330493153
        34. \n", + "\t
      34. 0.453565305837076
        35. \n", + "\t
      35. 0.116503905434092
        36. \n", + "\t
      36. 0.318453523567796
        37. \n", + "\t
      37. 0.425678001843043
        38. \n", + "\t
      38. 0.184475218630743
        39. \n", + "\t
      39. 0.261349174080883
        40. \n", + "\t
      40. 0.294424951639898
        41. \n", + "\t
      41. 0.29702902312852
        42. \n", + "\t
      42. 0.341265040781533
        43. \n", + "\t
      43. 0.264208774268102
        44. \n", + "\t
      44. 0.297297585377944
        45. \n", + "\t
      45. 0.371353918418175
        46. \n", + "\t
      46. 0.240521997476573
        47. \n", + "\t
      47. 0.219237794353146
        48. \n", + "\t
      48. 0.172736475587877
        49. \n", + "\t
      49. 0.29997569922252
        50. \n", + "\t
      50. 0.348090459765713
        51. \n", + "\t
      51. 0.24642547241138
        52. \n", + "\t
      52. 0.531113102214982
        53. \n", + "\t
      53. 0.15508577523656
        54. \n", + "\t
      54. 0.31917009413058
        55. \n", + "\t
      55. 0.181156574125426
        56. \n", + "\t
      56. 0.15874573266444
        57. \n", + "\t
      57. 0.1690037560204
        58. \n", + "\t
      58. 0.233999281027615
        59. \n", + "\t
      59. 0.182462025365209
        60. \n", + "\t
      60. 0.173025247041674
        61. \n", + "\t
      61. 0.188572229136124
        62. \n", + "\t
      62. 0.190850352034987
        63. \n", + "\t
      63. 0.300467871235497
        64. \n", + "\t
      64. 0.286821755941201
        65. \n", + "\t
      65. 0.402638558008222
        66. \n", + "\t
      66. 0.249651476222908
        67. \n", + "\t
      67. 0.346062861105182
        68. \n", + "\t
      68. 0.316680501599018
        69. \n", + "\t
      69. 0.218111593024145
        70. \n", + "\t
      70. 0.265248547329631
        71. \n", + "\t
      71. 0.182138250907666
        72. \n", + "\t
      72. 0.236082972242631
        73. \n", + "\t
      73. 0.260037613927745
        74. \n", + "\t
      74. 0.182193967287303
        75. \n", + "\t
      75. 0.274791711356677
        76. \n", + "\t
      76. 0.371503563839661
        77. \n", + "\t
      77. 0.173441197336284
        78. \n", + "\t
      78. 0.291231838502317
        79. \n", + "\t
      79. 0.361215949764065
        80. \n", + "\t
      80. 0.251371979647074
        81. \n", + "\t
      81. 0.25592940258199
        82. \n", + "\t
      82. 0.146074176224465
        83. \n", + "\t
      83. 0.365595978828757
        84. \n", + "\t
      84. 0.132608943599495
        85. \n", + "\t
      85. 0.334016346468082
        86. \n", + "\t
      86. 0.328236944691345
        87. \n", + "\t
      87. 0.264322037635618
        88. \n", + "\t
      88. 0.363782331288596
        89. \n", + "\t
      89. 0.245025606871132
        90. \n", + "\t
      90. 0.173240893792809
        91. \n", + "\t
      91. 0.36730726231736
        92. \n", + "\t
      92. 0.153489922534581
        93. \n", + "\t
      93. 0.27174937584301
        94. \n", + "\t
      94. 0.19449292532311
        95. \n", + "\t
      95. 0.329565534085914
        96. \n", + "\t
      96. 0.302381702258469
        97. \n", + "\t
      97. 0.291571429284061
        98. \n", + "\t
      98. 0.296591186282598
        99. \n", + "\t
      99. 0.249944479563585
        100. \n", + "\t
      100. 0.1635240114216
        101. \n", + "
      \n", + "
      7. \n", + "\t
      7. \n", + "\t
      1. 0.260620320957753
        2. \n", + "\t
      2. 0.355500423735999
        3. \n", + "\t
      3. 0.153916415193015
        4. \n", + "\t
      4. 0.262594456171114
        5. \n", + "\t
      5. 0.218083356213847
        6. \n", + "\t
      6. 0.27704505738529
        7. \n", + "\t
      7. 0.249379924418297
        8. \n", + "\t
      8. 0.283024033764801
        9. \n", + "\t
      9. 0.164310739387602
        10. \n", + "\t
      10. 0.367156021414214
        11. \n", + "\t
      11. 0.213526215888266
        12. \n", + "\t
      12. 0.171912064034335
        13. \n", + "\t
      13. 0.219704104404533
        14. \n", + "\t
      14. 0.28188650898538
        15. \n", + "\t
      15. 0.198100239608934
        16. \n", + "\t
      16. 0.199057548408
        17. \n", + "\t
      17. 0.302439934815028
        18. \n", + "\t
      18. 0.277433983392425
        19. \n", + "\t
      19. 0.296335021434966
        20. \n", + "\t
      20. 0.186325335915184
        21. \n", + "\t
      21. 0.26981736509142
        22. \n", + "\t
      22. 0.193307693046415
        23. \n", + "\t
      23. 0.246708616642961
        24. \n", + "\t
      24. 0.227489497960229
        25. \n", + "\t
      25. 0.204308688970951
        26. \n", + "\t
      26. 0.254503781172981
        27. \n", + "\t
      27. 0.306249569165156
        28. \n", + "\t
      28. 0.241367016462554
        29. \n", + "\t
      29. 0.121233227702019
        30. \n", + "\t
      30. 0.171040035952504
        31. \n", + "\t
      31. 0.242099255956
        32. \n", + "\t
      32. 0.287925767148298
        33. \n", + "\t
      33. 0.324364049989674
        34. \n", + "\t
      34. 0.362642102635851
        35. \n", + "\t
      35. 0.181653182031931
        36. \n", + "\t
      36. 0.23051134744685
        37. \n", + "\t
      37. 0.153459150248274
        38. \n", + "\t
      38. 0.346969209969752
        39. \n", + "\t
      39. 0.285247815558552
        40. \n", + "\t
      40. 0.248967174598957
        41. \n", + "\t
      41. 0.335274750553436
        42. \n", + "\t
      42. 0.236576321544097
        43. \n", + "\t
      43. 0.268100544390035
        44. \n", + "\t
      44. 0.176154749160424
        45. \n", + "\t
      45. 0.181000926276408
        46. \n", + "\t
      46. 0.200999952886413
        47. \n", + "\t
      47. 0.296399247781511
        48. \n", + "\t
      48. 0.112793743895234
        49. \n", + "\t
      49. 0.23505122541332
        50. \n", + "\t
      50. 0.177605984370593
        51. \n", + "\t
      51. 0.288108003149521
        52. \n", + "\t
      52. 0.328326489452806
        53. \n", + "\t
      53. 0.232845016113316
        54. \n", + "\t
      54. 0.151864893186589
        55. \n", + "\t
      55. 0.245106373705166
        56. \n", + "\t
      56. 0.237398161882272
        57. \n", + "\t
      57. 0.405598357907133
        58. \n", + "\t
      58. 0.429891876321248
        59. \n", + "\t
      59. 0.20589116607959
        60. \n", + "\t
      60. 0.169415128913634
        61. \n", + "\t
      61. 0.182442101245346
        62. \n", + "\t
      62. 0.244021458321818
        63. \n", + "\t
      63. 0.32613696882216
        64. \n", + "\t
      64. 0.415524323114707
        65. \n", + "\t
      65. 0.2449811706208
        66. \n", + "\t
      66. 0.272108777368644
        67. \n", + "\t
      67. 0.312025790156773
        68. \n", + "\t
      68. 0.338318476009208
        69. \n", + "\t
      69. 0.461188137067147
        70. \n", + "\t
      70. 0.198865064053179
        71. \n", + "\t
      71. 0.324569010045549
        72. \n", + "\t
      72. 0.163270537875663
        73. \n", + "\t
      73. 0.323282572743734
        74. \n", + "\t
      74. 0.397599090429986
        75. \n", + "\t
      75. 0.155134414766624
        76. \n", + "\t
      76. 0.213495332047177
        77. \n", + "\t
      77. 0.165471972205107
        78. \n", + "\t
      78. 0.210158143258537
        79. \n", + "\t
      79. 0.282465638666221
        80. \n", + "\t
      80. 0.321033673888807
        81. \n", + "\t
      81. 0.253973629046181
        82. \n", + "\t
      82. 0.302522081807718
        83. \n", + "\t
      83. 0.338906820015566
        84. \n", + "\t
      84. 0.365894822163601
        85. \n", + "\t
      85. 0.296097016183593
        86. \n", + "\t
      86. 0.278621863762565
        87. \n", + "\t
      87. 0.158738509238501
        88. \n", + "\t
      88. 0.274836712149752
        89. \n", + "\t
      89. 0.222669434623238
        90. \n", + "\t
      90. 0.218737721510614
        91. \n", + "\t
      91. 0.294364042571632
        92. \n", + "\t
      92. 0.308104158118214
        93. \n", + "\t
      93. 0.290112094919353
        94. \n", + "\t
      94. 0.24902080494441
        95. \n", + "\t
      95. 0.323408388074176
        96. \n", + "\t
      96. 0.203730754893095
        97. \n", + "\t
      97. 0.21955749289214
        98. \n", + "\t
      98. 0.336567797337678
        99. \n", + "\t
      99. 0.224071447287268
        100. \n", + "\t
      100. 0.245834762938167
        101. \n", + "
      \n", + "
      8. \n", + "\t
      8. \n", + "\t
      1. 0.122970451962639
        2. \n", + "\t
      2. 0.313014849605672
        3. \n", + "\t
      3. 0.256133807312195
        4. \n", + "\t
      4. 0.164719969898491
        5. \n", + "\t
      5. 0.151511556902968
        6. \n", + "\t
      6. 0.224104928596734
        7. \n", + "\t
      7. 0.25474123703092
        8. \n", + "\t
      8. 0.322412505333096
        9. \n", + "\t
      9. 0.32519374514771
        10. \n", + "\t
      10. 0.2028794065137
        11. \n", + "\t
      11. 0.221600590455022
        12. \n", + "\t
      12. 0.246604214019252
        13. \n", + "\t
      13. 0.235262778292491
        14. \n", + "\t
      14. 0.215192901184805
        15. \n", + "\t
      15. 0.345469547625009
        16. \n", + "\t
      16. 0.246557766190756
        17. \n", + "\t
      17. 0.261934620649626
        18. \n", + "\t
      18. 0.211128370511577
        19. \n", + "\t
      19. 0.256753815249145
        20. \n", + "\t
      20. 0.302537606297949
        21. \n", + "\t
      21. 0.189113411379849
        22. \n", + "\t
      22. 0.2172696226402
        23. \n", + "\t
      23. 0.206863162123078
        24. \n", + "\t
      24. 0.343626551375683
        25. \n", + "\t
      25. 0.277207869613291
        26. \n", + "\t
      26. 0.280743774375696
        27. \n", + "\t
      27. 0.187109637014916
        28. \n", + "\t
      28. 0.285435528551867
        29. \n", + "\t
      29. 0.243756261063596
        30. \n", + "\t
      30. 0.254536574398436
        31. \n", + "\t
      31. 0.210645321721248
        32. \n", + "\t
      32. 0.254513493088839
        33. \n", + "\t
      33. 0.37412760803999
        34. \n", + "\t
      34. 0.242004387051343
        35. \n", + "\t
      35. 0.190118003722854
        36. \n", + "\t
      36. 0.347903311577061
        37. \n", + "\t
      37. 0.182006706620738
        38. \n", + "\t
      38. 0.340474623299717
        39. \n", + "\t
      39. 0.184674114057932
        40. \n", + "\t
      40. 0.379338159314111
        41. \n", + "\t
      41. 0.247185904693828
        42. \n", + "\t
      42. 0.233886554593384
        43. \n", + "\t
      43. 0.217496692256205
        44. \n", + "\t
      44. 0.24753940632339
        45. \n", + "\t
      45. 0.13865790865398
        46. \n", + "\t
      46. 0.167684065530031
        47. \n", + "\t
      47. 0.202508483686523
        48. \n", + "\t
      48. 0.226141692848955
        49. \n", + "\t
      49. 0.266621597762911
        50. \n", + "\t
      50. 0.18131239344588
        51. \n", + "\t
      51. 0.317052487291148
        52. \n", + "\t
      52. 0.301498455048859
        53. \n", + "\t
      53. 0.331577667809247
        54. \n", + "\t
      54. 0.202182754292438
        55. \n", + "\t
      55. 0.314287281678544
        56. \n", + "\t
      56. 0.221560415843934
        57. \n", + "\t
      57. 0.28512851632223
        58. \n", + "\t
      58. 0.320164839202648
        59. \n", + "\t
      59. 0.285758965782135
        60. \n", + "\t
      60. 0.306967805410193
        61. \n", + "\t
      61. 0.224386410286425
        62. \n", + "\t
      62. 0.216352175707558
        63. \n", + "\t
      63. 0.295922682451861
        64. \n", + "\t
      64. 0.363825121626097
        65. \n", + "\t
      65. 0.228190306232665
        66. \n", + "\t
      66. 0.252567595662106
        67. \n", + "\t
      67. 0.3069701243068
        68. \n", + "\t
      68. 0.132585497176568
        69. \n", + "\t
      69. 0.318824392351872
        70. \n", + "\t
      70. 0.206338209900125
        71. \n", + "\t
      71. 0.230504765539345
        72. \n", + "\t
      72. 0.127709194424228
        73. \n", + "\t
      73. 0.346651465323533
        74. \n", + "\t
      74. 0.217665705988842
        75. \n", + "\t
      75. 0.328837233286341
        76. \n", + "\t
      76. 0.200242123183848
        77. \n", + "\t
      77. 0.364058339974883
        78. \n", + "\t
      78. 0.312806195487751
        79. \n", + "\t
      79. 0.158710870270953
        80. \n", + "\t
      80. 0.278440247579269
        81. \n", + "\t
      81. 0.272824976411382
        82. \n", + "\t
      82. 0.35856123946579
        83. \n", + "\t
      83. 0.189308071843706
        84. \n", + "\t
      84. 0.20513822617412
        85. \n", + "\t
      85. 0.260311446504024
        86. \n", + "\t
      86. 0.293722323879261
        87. \n", + "\t
      87. 0.265319660645094
        88. \n", + "\t
      88. 0.298393155522545
        89. \n", + "\t
      89. 0.177583809376339
        90. \n", + "\t
      90. 0.192491398671447
        91. \n", + "\t
      91. 0.359020319544999
        92. \n", + "\t
      92. 0.220385182347531
        93. \n", + "\t
      93. 0.393344353584387
        94. \n", + "\t
      94. 0.267352506542722
        95. \n", + "\t
      95. 0.274034183117436
        96. \n", + "\t
      96. 0.377033683769918
        97. \n", + "\t
      97. 0.213168141311335
        98. \n", + "\t
      98. 0.264435201074189
        99. \n", + "\t
      99. 0.224288510648111
        100. \n", + "\t
      100. 0.269499333035625
        101. \n", + "
      \n", + "
      9. \n", + "\t
      9. \n", + "\t
      1. 0.392492764335552
        2. \n", + "\t
      2. 0.278078068758943
        3. \n", + "\t
      3. 0.367256779109199
        4. \n", + "\t
      4. 0.168955429524994
        5. \n", + "\t
      5. 0.304460502188121
        6. \n", + "\t
      6. 0.228855611531734
        7. \n", + "\t
      7. 0.133222432094084
        8. \n", + "\t
      8. 0.253300259605864
        9. \n", + "\t
      9. 0.237239137184778
        10. \n", + "\t
      10. 0.203047282778337
        11. \n", + "\t
      11. 0.226554749876988
        12. \n", + "\t
      12. 0.0752775069283488
        13. \n", + "\t
      13. 0.141708097800826
        14. \n", + "\t
      14. 0.301962719251708
        15. \n", + "\t
      15. 0.236259818752394
        16. \n", + "\t
      16. 0.274251427142118
        17. \n", + "\t
      17. 0.159655265887595
        18. \n", + "\t
      18. 0.235184784198151
        19. \n", + "\t
      19. 0.177062177947102
        20. \n", + "\t
      20. 0.239743334904552
        21. \n", + "\t
      21. 0.0492166171790283
        22. \n", + "\t
      22. 0.0847440700457797
        23. \n", + "\t
      23. 0.184131909388499
        24. \n", + "\t
      24. 0.124536742493607
        25. \n", + "\t
      25. 0.283720411919999
        26. \n", + "\t
      26. 0.270326051538516
        27. \n", + "\t
      27. 0.294042667438991
        28. \n", + "\t
      28. 0.237092689053094
        29. \n", + "\t
      29. 0.258290413597234
        30. \n", + "\t
      30. 0.179156432553796
        31. \n", + "\t
      31. 0.243465404297381
        32. \n", + "\t
      32. 0.329794940110617
        33. \n", + "\t
      33. 0.241066786506472
        34. \n", + "\t
      34. 0.21485631854322
        35. \n", + "\t
      35. 0.260469628317095
        36. \n", + "\t
      36. 0.255004321965636
        37. \n", + "\t
      37. 0.268388741529306
        38. \n", + "\t
      38. 0.309363093546897
        39. \n", + "\t
      39. 0.294361720275909
        40. \n", + "\t
      40. 0.172374187871293
        41. \n", + "\t
      41. 0.208588034439222
        42. \n", + "\t
      42. 0.200409131368472
        43. \n", + "\t
      43. 0.126630507395055
        44. \n", + "\t
      44. 0.266198992819414
        45. \n", + "\t
      45. 0.221067746304243
        46. \n", + "\t
      46. 0.176568267261721
        47. \n", + "\t
      47. 0.282247751730716
        48. \n", + "\t
      48. 0.0791038202734023
        49. \n", + "\t
      49. 0.215040097699969
        50. \n", + "\t
      50. 0.152049295557242
        51. \n", + "\t
      51. 0.186248907699464
        52. \n", + "\t
      52. 0.338065838054893
        53. \n", + "\t
      53. 0.264371963225698
        54. \n", + "\t
      54. 0.18065723187499
        55. \n", + "\t
      55. 0.252591008713463
        56. \n", + "\t
      56. 0.213124077448487
        57. \n", + "\t
      57. 0.341011994993441
        58. \n", + "\t
      58. 0.232077220269405
        59. \n", + "\t
      59. 0.241948168334241
        60. \n", + "\t
      60. 0.253868009838194
        61. \n", + "\t
      61. 0.328262050785587
        62. \n", + "\t
      62. 0.32005669566544
        63. \n", + "\t
      63. 0.210128527235026
        64. \n", + "\t
      64. 0.162032303513335
        65. \n", + "\t
      65. 0.171286015124932
        66. \n", + "\t
      66. 0.164489279298659
        67. \n", + "\t
      67. 0.159404162814962
        68. \n", + "\t
      68. 0.177319657852768
        69. \n", + "\t
      69. 0.205913987445962
        70. \n", + "\t
      70. 0.374651439421139
        71. \n", + "\t
      71. 0.156929393691852
        72. \n", + "\t
      72. 0.285351503333798
        73. \n", + "\t
      73. 0.267713145420436
        74. \n", + "\t
      74. 0.209765974121835
        75. \n", + "\t
      75. 0.2452717522654
        76. \n", + "\t
      76. 0.27922450836441
        77. \n", + "\t
      77. 0.218518683283222
        78. \n", + "\t
      78. 0.24086847667339
        79. \n", + "\t
      79. 0.22867630370442
        80. \n", + "\t
      80. 0.296476781308938
        81. \n", + "\t
      81. 0.199730939693229
        82. \n", + "\t
      82. 0.257162829951432
        83. \n", + "\t
      83. 0.372157320936844
        84. \n", + "\t
      84. 0.175053428996875
        85. \n", + "\t
      85. 0.235505672111123
        86. \n", + "\t
      86. 0.215848817146034
        87. \n", + "\t
      87. 0.283729969286235
        88. \n", + "\t
      88. 0.27256176063447
        89. \n", + "\t
      89. 0.142342086320225
        90. \n", + "\t
      90. 0.191553790074476
        91. \n", + "\t
      91. 0.228784560313091
        92. \n", + "\t
      92. 0.217310205728508
        93. \n", + "\t
      93. 0.24909946452101
        94. \n", + "\t
      94. 0.232042591720594
        95. \n", + "\t
      95. 0.211374376670647
        96. \n", + "\t
      96. 0.186821087895987
        97. \n", + "\t
      97. 0.244751514835322
        98. \n", + "\t
      98. 0.286934950598666
        99. \n", + "\t
      99. 0.370723105215937
        100. \n", + "\t
      100. 0.290617902783586
        101. \n", + "
      \n", + "
      10. \n", + "\t
      10. \n", + "\t
      1. 0.377279336433686
        2. \n", + "\t
      2. 0.329549864952538
        3. \n", + "\t
      3. 0.24410747425393
        4. \n", + "\t
      4. 0.154730599984861
        5. \n", + "\t
      5. 0.224285806577666
        6. \n", + "\t
      6. 0.202427711873028
        7. \n", + "\t
      7. 0.282906511028962
        8. \n", + "\t
      8. 0.465790267709543
        9. \n", + "\t
      9. 0.343585614741073
        10. \n", + "\t
      10. 0.374097436491188
        11. \n", + "\t
      11. 0.357809308238717
        12. \n", + "\t
      12. 0.296092546044876
        13. \n", + "\t
      13. 0.179040556817046
        14. \n", + "\t
      14. 0.245738871241933
        15. \n", + "\t
      15. 0.339461792029966
        16. \n", + "\t
      16. 0.168214038181534
        17. \n", + "\t
      17. 0.339641488642157
        18. \n", + "\t
      18. 0.463921970703965
        19. \n", + "\t
      19. 0.268346626729044
        20. \n", + "\t
      20. 0.179742193144861
        21. \n", + "\t
      21. 0.356847404364188
        22. \n", + "\t
      22. 0.183221921977904
        23. \n", + "\t
      23. 0.281842339543352
        24. \n", + "\t
      24. 0.219435082574126
        25. \n", + "\t
      25. 0.331132607935629
        26. \n", + "\t
      26. 0.216503930672634
        27. \n", + "\t
      27. 0.313507390352129
        28. \n", + "\t
      28. 0.0750618642234146
        29. \n", + "\t
      29. 0.28131870924195
        30. \n", + "\t
      30. 0.378646566928096
        31. \n", + "\t
      31. 0.42052251917732
        32. \n", + "\t
      32. 0.361327430219804
        33. \n", + "\t
      33. 0.236574198024541
        34. \n", + "\t
      34. 0.323671637639396
        35. \n", + "\t
      35. 0.103603587709224
        36. \n", + "\t
      36. 0.254824191255359
        37. \n", + "\t
      37. 0.468282735647265
        38. \n", + "\t
      38. 0.230349501084754
        39. \n", + "\t
      39. 0.254148478695436
        40. \n", + "\t
      40. 0.15304179745872
        41. \n", + "\t
      41. 0.351603001200886
        42. \n", + "\t
      42. 0.344833149925541
        43. \n", + "\t
      43. 0.359531143768383
        44. \n", + "\t
      44. 0.135066617282165
        45. \n", + "\t
      45. 0.20929176273731
        46. \n", + "\t
      46. 0.215885439409576
        47. \n", + "\t
      47. 0.308397370880902
        48. \n", + "\t
      48. 0.457762974531048
        49. \n", + "\t
      49. 0.253180329069803
        50. \n", + "\t
      50. 0.208063963723935
        51. \n", + "\t
      51. 0.399244071530815
        52. \n", + "\t
      52. 0.286302740817981
        53. \n", + "\t
      53. 0.37730163117353
        54. \n", + "\t
      54. 0.129820039423898
        55. \n", + "\t
      55. 0.180165337653763
        56. \n", + "\t
      56. 0.384779757402859
        57. \n", + "\t
      57. 0.287691326804813
        58. \n", + "\t
      58. 0.268406352659003
        59. \n", + "\t
      59. 0.428912551195197
        60. \n", + "\t
      60. 0.209798394410898
        61. \n", + "\t
      61. 0.15973227177268
        62. \n", + "\t
      62. 0.40783565514959
        63. \n", + "\t
      63. 0.413786068332461
        64. \n", + "\t
      64. 0.304463970972541
        65. \n", + "\t
      65. 0.168643098419155
        66. \n", + "\t
      66. 0.316645338805004
        67. \n", + "\t
      67. 0.341719393725813
        68. \n", + "\t
      68. 0.24360519226459
        69. \n", + "\t
      69. 0.303834557918275
        70. \n", + "\t
      70. 0.244297957760926
        71. \n", + "\t
      71. 0.433926979829818
        72. \n", + "\t
      72. 0.28477039279831
        73. \n", + "\t
      73. 0.385505688476385
        74. \n", + "\t
      74. 0.249738940239733
        75. \n", + "\t
      75. 0.337891971714964
        76. \n", + "\t
      76. 0.357913520361096
        77. \n", + "\t
      77. 0.447279759700588
        78. \n", + "\t
      78. 0.349284768022303
        79. \n", + "\t
      79. 0.306439149165644
        80. \n", + "\t
      80. 0.200728580000944
        81. \n", + "\t
      81. 0.261927297182912
        82. \n", + "\t
      82. 0.322439090489198
        83. \n", + "\t
      83. 0.101139573424134
        84. \n", + "\t
      84. 0.121845103056083
        85. \n", + "\t
      85. 0.194808812214567
        86. \n", + "\t
      86. 0.360490346504609
        87. \n", + "\t
      87. 0.14192105012834
        88. \n", + "\t
      88. 0.300850594739358
        89. \n", + "\t
      89. 0.268366607884061
        90. \n", + "\t
      90. 0.380869659055509
        91. \n", + "\t
      91. 0.290105205334201
        92. \n", + "\t
      92. 0.218999557417868
        93. \n", + "\t
      93. 0.332857322715967
        94. \n", + "\t
      94. 0.185617502352839
        95. \n", + "\t
      95. 0.356217684742714
        96. \n", + "\t
      96. 0.27912009117695
        97. \n", + "\t
      97. 0.307520413307961
        98. \n", + "\t
      98. 0.140248861666407
        99. \n", + "\t
      99. 0.508535524225739
        100. \n", + "\t
      100. 0.309559750038579
        101. \n", + "
      \n", + "
      11. \n", + "\t
      11. \n", + "\t
      1. 0.206022766378561
        2. \n", + "\t
      2. 0.328294516028147
        3. \n", + "\t
      3. 0.393398244216708
        4. \n", + "\t
      4. 0.301521794137806
        5. \n", + "\t
      5. 0.302545152486012
        6. \n", + "\t
      6. 0.341724014334535
        7. \n", + "\t
      7. 0.314439317611347
        8. \n", + "\t
      8. 0.286499359445476
        9. \n", + "\t
      9. 0.360028685216493
        10. \n", + "\t
      10. 0.169524174124833
        11. \n", + "\t
      11. 0.166138698660397
        12. \n", + "\t
      12. 0.122090742744781
        13. \n", + "\t
      13. 0.240651197097485
        14. \n", + "\t
      14. 0.281643506320383
        15. \n", + "\t
      15. 0.15007376100984
        16. \n", + "\t
      16. 0.37177169090804
        17. \n", + "\t
      17. 0.149749566944192
        18. \n", + "\t
      18. 0.342400323243457
        19. \n", + "\t
      19. 0.318788321042803
        20. \n", + "\t
      20. 0.254435904360281
        21. \n", + "\t
      21. 0.37313198052306
        22. \n", + "\t
      22. 0.263395570226027
        23. \n", + "\t
      23. 0.279198633827308
        24. \n", + "\t
      24. 0.332997258161521
        25. \n", + "\t
      25. 0.382657819958841
        26. \n", + "\t
      26. 0.293021017868451
        27. \n", + "\t
      27. 0.415432291399473
        28. \n", + "\t
      28. 0.168595311619308
        29. \n", + "\t
      29. 0.375531621409035
        30. \n", + "\t
      30. 0.242437308374489
        31. \n", + "\t
      31. 0.151944678056308
        32. \n", + "\t
      32. 0.4258473335703
        33. \n", + "\t
      33. 0.391691159929812
        34. \n", + "\t
      34. 0.134072496005919
        35. \n", + "\t
      35. 0.268695911241991
        36. \n", + "\t
      36. 0.296349208203783
        37. \n", + "\t
      37. 0.279810381742373
        38. \n", + "\t
      38. 0.128548540267791
        39. \n", + "\t
      39. 0.262254321102552
        40. \n", + "\t
      40. 0.235183414974679
        41. \n", + "\t
      41. 0.226618203901064
        42. \n", + "\t
      42. 0.195724335543735
        43. \n", + "\t
      43. 0.399189156418279
        44. \n", + "\t
      44. 0.242278247806481
        45. \n", + "\t
      45. 0.242477379346694
        46. \n", + "\t
      46. 0.229809712632904
        47. \n", + "\t
      47. 0.229087455567102
        48. \n", + "\t
      48. 0.0785030187308801
        49. \n", + "\t
      49. 0.354738793635932
        50. \n", + "\t
      50. 0.280568677192804
        51. \n", + "\t
      51. 0.327452589300325
        52. \n", + "\t
      52. 0.461608899901101
        53. \n", + "\t
      53. 0.176682348459972
        54. \n", + "\t
      54. 0.28722712152053
        55. \n", + "\t
      55. 0.250103740842398
        56. \n", + "\t
      56. 0.276779741453996
        57. \n", + "\t
      57. 0.233101262058652
        58. \n", + "\t
      58. 0.272216334503702
        59. \n", + "\t
      59. 0.253967478936185
        60. \n", + "\t
      60. 0.212778335817514
        61. \n", + "\t
      61. 0.202662815518771
        62. \n", + "\t
      62. 0.340158001065335
        63. \n", + "\t
      63. 0.307393928596828
        64. \n", + "\t
      64. 0.420224998634528
        65. \n", + "\t
      65. 0.235365693661475
        66. \n", + "\t
      66. 0.318940767179973
        67. \n", + "\t
      67. 0.262510298193822
        68. \n", + "\t
      68. 0.337618423368559
        69. \n", + "\t
      69. 0.207338913379299
        70. \n", + "\t
      70. 0.443603327864535
        71. \n", + "\t
      71. 0.227226165149923
        72. \n", + "\t
      72. 0.155700346834318
        73. \n", + "\t
      73. 0.393726219514412
        74. \n", + "\t
      74. 0.30760792939607
        75. \n", + "\t
      75. 0.209297962157589
        76. \n", + "\t
      76. 0.238725795751075
        77. \n", + "\t
      77. 0.112996547859683
        78. \n", + "\t
      78. 0.369189614223925
        79. \n", + "\t
      79. 0.237361280886032
        80. \n", + "\t
      80. 0.364811546473651
        81. \n", + "\t
      81. 0.298634534963094
        82. \n", + "\t
      82. 0.215150819730193
        83. \n", + "\t
      83. 0.279202838113251
        84. \n", + "\t
      84. 0.198872059096259
        85. \n", + "\t
      85. 0.380547835076
        86. \n", + "\t
      86. 0.301845361416345
        87. \n", + "\t
      87. 0.255182149470308
        88. \n", + "\t
      88. 0.277543171057835
        89. \n", + "\t
      89. 0.345929841263982
        90. \n", + "\t
      90. 0.344587663476746
        91. \n", + "\t
      91. 0.410026402631716
        92. \n", + "\t
      92. 0.337173747466911
        93. \n", + "\t
      93. 0.408437361054806
        94. \n", + "\t
      94. 0.301522183155643
        95. \n", + "\t
      95. 0.330096774420152
        96. \n", + "\t
      96. 0.206165676428786
        97. \n", + "\t
      97. 0.205688087919411
        98. \n", + "\t
      98. 0.2437344939858
        99. \n", + "\t
      99. 0.39514657591116
        100. \n", + "\t
      100. 0.113643176328873
        101. \n", + "
      \n", + "
      12. \n", + "\t
      12. \n", + "\t
      1. 0.245918984788407
        2. \n", + "\t
      2. 0.240989420640374
        3. \n", + "\t
      3. 0.212682666940386
        4. \n", + "\t
      4. 0.306791338612339
        5. \n", + "\t
      5. 0.303262866795224
        6. \n", + "\t
      6. 0.367796473737511
        7. \n", + "\t
      7. 0.268940127118937
        8. \n", + "\t
      8. 0.317264726206062
        9. \n", + "\t
      9. 0.183395851201978
        10. \n", + "\t
      10. 0.185848724866424
        11. \n", + "\t
      11. 0.2118127326115
        12. \n", + "\t
      12. 0.204233650787757
        13. \n", + "\t
      13. 0.351851265054752
        14. \n", + "\t
      14. 0.224353155910415
        15. \n", + "\t
      15. 0.312995747746167
        16. \n", + "\t
      16. 0.253465348630844
        17. \n", + "\t
      17. 0.167156382545128
        18. \n", + "\t
      18. 0.226188981387021
        19. \n", + "\t
      19. 0.261352083079857
        20. \n", + "\t
      20. 0.324267007097013
        21. \n", + "\t
      21. 0.300458106776626
        22. \n", + "\t
      22. 0.161098691895777
        23. \n", + "\t
      23. 0.240605057975015
        24. \n", + "\t
      24. 0.314208075171656
        25. \n", + "\t
      25. 0.161801890906778
        26. \n", + "\t
      26. 0.220288905402486
        27. \n", + "\t
      27. 0.20370366001822
        28. \n", + "\t
      28. 0.239223280719935
        29. \n", + "\t
      29. 0.362676211332701
        30. \n", + "\t
      30. 0.172091431071986
        31. \n", + "\t
      31. 0.268306629585756
        32. \n", + "\t
      32. 0.166428220802535
        33. \n", + "\t
      33. 0.276540302555187
        34. \n", + "\t
      34. 0.28760149351473
        35. \n", + "\t
      35. 0.22409475343583
        36. \n", + "\t
      36. 0.361566059476128
        37. \n", + "\t
      37. 0.177877710378526
        38. \n", + "\t
      38. 0.160932437446327
        39. \n", + "\t
      39. 0.42935075298062
        40. \n", + "\t
      40. 0.178643890044928
        41. \n", + "\t
      41. 0.148449094579411
        42. \n", + "\t
      42. 0.194513108640159
        43. \n", + "\t
      43. 0.220048243610195
        44. \n", + "\t
      44. 0.18225589298037
        45. \n", + "\t
      45. 0.249271643055657
        46. \n", + "\t
      46. 0.222989163350465
        47. \n", + "\t
      47. 0.402636656428645
        48. \n", + "\t
      48. 0.321335437618927
        49. \n", + "\t
      49. 0.242433247464946
        50. \n", + "\t
      50. 0.245194385159592
        51. \n", + "\t
      51. 0.138017195812014
        52. \n", + "\t
      52. 0.366630348397653
        53. \n", + "\t
      53. 0.220412542117664
        54. \n", + "\t
      54. 0.167606055199153
        55. \n", + "\t
      55. 0.30476637918771
        56. \n", + "\t
      56. 0.198704373749697
        57. \n", + "\t
      57. 0.268698674456146
        58. \n", + "\t
      58. 0.345304989039842
        59. \n", + "\t
      59. 0.277233795622108
        60. \n", + "\t
      60. 0.257077612409264
        61. \n", + "\t
      61. 0.299276698925016
        62. \n", + "\t
      62. 0.234684994998322
        63. \n", + "\t
      63. 0.368752562992091
        64. \n", + "\t
      64. 0.330765535579354
        65. \n", + "\t
      65. 0.312184324992632
        66. \n", + "\t
      66. 0.150199482716163
        67. \n", + "\t
      67. 0.152914336304857
        68. \n", + "\t
      68. 0.346048108392208
        69. \n", + "\t
      69. 0.352023765173632
        70. \n", + "\t
      70. 0.227900593629244
        71. \n", + "\t
      71. 0.415738301619756
        72. \n", + "\t
      72. 0.114335574538001
        73. \n", + "\t
      73. 0.323965110495983
        74. \n", + "\t
      74. 0.327601973485841
        75. \n", + "\t
      75. 0.174609014495632
        76. \n", + "\t
      76. 0.231542117606826
        77. \n", + "\t
      77. 0.163701785281115
        78. \n", + "\t
      78. 0.310501399902076
        79. \n", + "\t
      79. 0.282764685510133
        80. \n", + "\t
      80. 0.1668175333853
        81. \n", + "\t
      81. 0.172012661538481
        82. \n", + "\t
      82. 0.328592986572824
        83. \n", + "\t
      83. 0.379921656691291
        84. \n", + "\t
      84. 0.114076319931355
        85. \n", + "\t
      85. 0.174461303463044
        86. \n", + "\t
      86. 0.298482175601416
        87. \n", + "\t
      87. 0.271882319223707
        88. \n", + "\t
      88. 0.353157649690863
        89. \n", + "\t
      89. 0.254078488369421
        90. \n", + "\t
      90. 0.257358459612879
        91. \n", + "\t
      91. 0.121720242640663
        92. \n", + "\t
      92. 0.229219379014748
        93. \n", + "\t
      93. 0.245176468092241
        94. \n", + "\t
      94. 0.31839569704565
        95. \n", + "\t
      95. 0.323068086091796
        96. \n", + "\t
      96. 0.309747713252965
        97. \n", + "\t
      97. 0.276347567826744
        98. \n", + "\t
      98. 0.127472486473103
        99. \n", + "\t
      99. 0.278354295272939
        100. \n", + "\t
      100. 0.199782227536252
        101. \n", + "
      \n", + "
      13. \n", + "\t
      13. \n", + "\t
      1. 0.361068416433224
        2. \n", + "\t
      2. 0.250502946124361
        3. \n", + "\t
      3. 0.285692612854053
        4. \n", + "\t
      4. 0.185825086635093
        5. \n", + "\t
      5. 0.157963477406099
        6. \n", + "\t
      6. 0.166582178803557
        7. \n", + "\t
      7. 0.278787081499207
        8. \n", + "\t
      8. 0.244260003691866
        9. \n", + "\t
      9. 0.119754714391819
        10. \n", + "\t
      10. 0.257845922661006
        11. \n", + "\t
      11. 0.126551037531682
        12. \n", + "\t
      12. 0.185907092798169
        13. \n", + "\t
      13. 0.0980946497248348
        14. \n", + "\t
      14. 0.125320294042207
        15. \n", + "\t
      15. 0.342536725411629
        16. \n", + "\t
      16. 0.348802030798342
        17. \n", + "\t
      17. 0.413425471598774
        18. \n", + "\t
      18. 0.216950816909284
        19. \n", + "\t
      19. 0.195006782575772
        20. \n", + "\t
      20. 0.112027409990741
        21. \n", + "\t
      21. 0.198437126171373
        22. \n", + "\t
      22. 0.246685824944863
        23. \n", + "\t
      23. 0.172985563857289
        24. \n", + "\t
      24. 0.231896633869998
        25. \n", + "\t
      25. 0.192450386703374
        26. \n", + "\t
      26. 0.335419931495419
        27. \n", + "\t
      27. 0.315100626336186
        28. \n", + "\t
      28. 0.316584982178925
        29. \n", + "\t
      29. 0.166057270851798
        30. \n", + "\t
      30. 0.14626994917559
        31. \n", + "\t
      31. 0.241221408429135
        32. \n", + "\t
      32. 0.113657891625203
        33. \n", + "\t
      33. 0.189662299517269
        34. \n", + "\t
      34. 0.318570014014235
        35. \n", + "\t
      35. 0.175249094008839
        36. \n", + "\t
      36. 0.293726795981295
        37. \n", + "\t
      37. 0.364663631938145
        38. \n", + "\t
      38. 0.336916637271882
        39. \n", + "\t
      39. 0.192478102221906
        40. \n", + "\t
      40. 0.283729002107256
        41. \n", + "\t
      41. 0.26996792419128
        42. \n", + "\t
      42. 0.213632762069806
        43. \n", + "\t
      43. 0.210345507520284
        44. \n", + "\t
      44. 0.156067073838064
        45. \n", + "\t
      45. 0.276619172234762
        46. \n", + "\t
      46. 0.255501119723904
        47. \n", + "\t
      47. 0.361884118084956
        48. \n", + "\t
      48. 0.379268223294151
        49. \n", + "\t
      49. 0.376984513647955
        50. \n", + "\t
      50. 0.26917299336113
        51. \n", + "\t
      51. 0.235045700513172
        52. \n", + "\t
      52. 0.251277131532414
        53. \n", + "\t
      53. 0.371768553032997
        54. \n", + "\t
      54. 0.306937028757125
        55. \n", + "\t
      55. 0.250904929729821
        56. \n", + "\t
      56. 0.248582546760465
        57. \n", + "\t
      57. 0.414844343834913
        58. \n", + "\t
      58. 0.335725899854173
        59. \n", + "\t
      59. 0.166298975904846
        60. \n", + "\t
      60. 0.1217266509094
        61. \n", + "\t
      61. 0.260015359761897
        62. \n", + "\t
      62. 0.289824818269691
        63. \n", + "\t
      63. 0.199709370842257
        64. \n", + "\t
      64. 0.246917254720945
        65. \n", + "\t
      65. 0.24910966994737
        66. \n", + "\t
      66. 0.265419513788873
        67. \n", + "\t
      67. 0.297755049210948
        68. \n", + "\t
      68. 0.292563458034237
        69. \n", + "\t
      69. 0.237514492623093
        70. \n", + "\t
      70. 0.194912757089872
        71. \n", + "\t
      71. 0.210822205378268
        72. \n", + "\t
      72. 0.275709703842957
        73. \n", + "\t
      73. 0.231356766040692
        74. \n", + "\t
      74. 0.185619335046564
        75. \n", + "\t
      75. 0.171998010100456
        76. \n", + "\t
      76. 0.238283014317973
        77. \n", + "\t
      77. 0.190245462313323
        78. \n", + "\t
      78. 0.2254418738093
        79. \n", + "\t
      79. 0.301842337358637
        80. \n", + "\t
      80. 0.314572254192486
        81. \n", + "\t
      81. 0.191439209263902
        82. \n", + "\t
      82. 0.497587542909956
        83. \n", + "\t
      83. 0.23511745854164
        84. \n", + "\t
      84. 0.321532580078547
        85. \n", + "\t
      85. 0.208291220799571
        86. \n", + "\t
      86. 0.250944229522822
        87. \n", + "\t
      87. 0.202586688227142
        88. \n", + "\t
      88. 0.0897360726585109
        89. \n", + "\t
      89. 0.183950951792291
        90. \n", + "\t
      90. 0.334267579604874
        91. \n", + "\t
      91. 0.138161532440042
        92. \n", + "\t
      92. 0.110502894093863
        93. \n", + "\t
      93. 0.213613535626049
        94. \n", + "\t
      94. 0.247352217301462
        95. \n", + "\t
      95. 0.127879300242375
        96. \n", + "\t
      96. 0.320421717544876
        97. \n", + "\t
      97. 0.201534494171501
        98. \n", + "\t
      98. 0.279813229165767
        99. \n", + "\t
      99. 0.293525261646763
        100. \n", + "\t
      100. 0.174301511760647
        101. \n", + "
      \n", + "
      14. \n", + "\t
      14. \n", + "\t
      1. 0.283467056786419
        2. \n", + "\t
      2. 0.199559185724434
        3. \n", + "\t
      3. 0.168050337934146
        4. \n", + "\t
      4. 0.248786801988689
        5. \n", + "\t
      5. 0.259692942360791
        6. \n", + "\t
      6. 0.339962304008559
        7. \n", + "\t
      7. 0.382759329675778
        8. \n", + "\t
      8. 0.234785311223657
        9. \n", + "\t
      9. 0.255922043331739
        10. \n", + "\t
      10. 0.297529389870943
        11. \n", + "\t
      11. 0.253049940793297
        12. \n", + "\t
      12. 0.343822263436268
        13. \n", + "\t
      13. 0.336390027567068
        14. \n", + "\t
      14. 0.401247796076726
        15. \n", + "\t
      15. 0.133723322882035
        16. \n", + "\t
      16. 0.298764640273445
        17. \n", + "\t
      17. 0.266115428289413
        18. \n", + "\t
      18. 0.164405490023566
        19. \n", + "\t
      19. 0.248942851109834
        20. \n", + "\t
      20. 0.348413535437695
        21. \n", + "\t
      21. 0.109119271259944
        22. \n", + "\t
      22. 0.24314452284838
        23. \n", + "\t
      23. 0.436334011276323
        24. \n", + "\t
      24. 0.230940427710793
        25. \n", + "\t
      25. 0.36850610815867
        26. \n", + "\t
      26. 0.345335902191609
        27. \n", + "\t
      27. 0.322530030912575
        28. \n", + "\t
      28. 0.197923172469059
        29. \n", + "\t
      29. 0.376192842004495
        30. \n", + "\t
      30. 0.257484811148925
        31. \n", + "\t
      31. 0.49885198810681
        32. \n", + "\t
      32. 0.208147774644597
        33. \n", + "\t
      33. 0.275868565558302
        34. \n", + "\t
      34. 0.232199587998211
        35. \n", + "\t
      35. 0.245559946940446
        36. \n", + "\t
      36. 0.232167847100409
        37. \n", + "\t
      37. 0.208507405236343
        38. \n", + "\t
      38. 0.206387285150611
        39. \n", + "\t
      39. 0.273237207097943
        40. \n", + "\t
      40. 0.330024211749845
        41. \n", + "\t
      41. 0.256449707978998
        42. \n", + "\t
      42. 0.471166572851898
        43. \n", + "\t
      43. 0.36708192508158
        44. \n", + "\t
      44. 0.286651932503803
        45. \n", + "\t
      45. 0.320519979206019
        46. \n", + "\t
      46. 0.320644834554138
        47. \n", + "\t
      47. 0.366618360030943
        48. \n", + "\t
      48. 0.296051096482738
        49. \n", + "\t
      49. 0.242298973432592
        50. \n", + "\t
      50. 0.238935193746867
        51. \n", + "\t
      51. 0.151321256999484
        52. \n", + "\t
      52. 0.281378516609937
        53. \n", + "\t
      53. 0.194022996506271
        54. \n", + "\t
      54. 0.175628034421311
        55. \n", + "\t
      55. 0.232250195012522
        56. \n", + "\t
      56. 0.230587904108866
        57. \n", + "\t
      57. 0.303354832464371
        58. \n", + "\t
      58. 0.21797453372721
        59. \n", + "\t
      59. 0.288966698147916
        60. \n", + "\t
      60. 0.396862027972805
        61. \n", + "\t
      61. 0.283493799077848
        62. \n", + "\t
      62. 0.144068797684281
        63. \n", + "\t
      63. 0.317767796254528
        64. \n", + "\t
      64. 0.386745580129827
        65. \n", + "\t
      65. 0.241382948559575
        66. \n", + "\t
      66. 0.318029025167511
        67. \n", + "\t
      67. 0.350570981509881
        68. \n", + "\t
      68. 0.218177536369962
        69. \n", + "\t
      69. 0.374624983594842
        70. \n", + "\t
      70. 0.187689819803541
        71. \n", + "\t
      71. 0.212414384248463
        72. \n", + "\t
      72. 0.173861551152846
        73. \n", + "\t
      73. 0.349819008496983
        74. \n", + "\t
      74. 0.196396039203152
        75. \n", + "\t
      75. 0.321383537604507
        76. \n", + "\t
      76. 0.260869561617617
        77. \n", + "\t
      77. 0.326868623207407
        78. \n", + "\t
      78. 0.311307384792683
        79. \n", + "\t
      79. 0.258542246974669
        80. \n", + "\t
      80. 0.220329353843437
        81. \n", + "\t
      81. 0.234892792334246
        82. \n", + "\t
      82. 0.443705034830419
        83. \n", + "\t
      83. 0.348657643939568
        84. \n", + "\t
      84. 0.39556847618294
        85. \n", + "\t
      85. 0.356906921097407
        86. \n", + "\t
      86. 0.299763806355253
        87. \n", + "\t
      87. 0.438727441808105
        88. \n", + "\t
      88. 0.289881504729666
        89. \n", + "\t
      89. 0.357006786120035
        90. \n", + "\t
      90. 0.267374830482576
        91. \n", + "\t
      91. 0.306552360432233
        92. \n", + "\t
      92. 0.277678144015154
        93. \n", + "\t
      93. 0.379328267121372
        94. \n", + "\t
      94. 0.244805772741356
        95. \n", + "\t
      95. 0.110698859832302
        96. \n", + "\t
      96. 0.158852004025384
        97. \n", + "\t
      97. 0.288058490176247
        98. \n", + "\t
      98. 0.278189259626314
        99. \n", + "\t
      99. 0.338571851453479
        100. \n", + "\t
      100. 0.355958734857568
        101. \n", + "
      \n", + "
      15. \n", + "\t
      15. \n", + "\t
      1. 0.187916400342122
        2. \n", + "\t
      2. 0.142941050246254
        3. \n", + "\t
      3. 0.279890328615454
        4. \n", + "\t
      4. 0.215383461690559
        5. \n", + "\t
      5. 0.0859325833842848
        6. \n", + "\t
      6. 0.105652480819271
        7. \n", + "\t
      7. 0.198567330996084
        8. \n", + "\t
      8. 0.151232480949772
        9. \n", + "\t
      9. 0.156538447992041
        10. \n", + "\t
      10. 0.0814700607149507
        11. \n", + "\t
      11. 0.173807610428291
        12. \n", + "\t
      12. 0.294027575992537
        13. \n", + "\t
      13. 0.230549273074
        14. \n", + "\t
      14. 0.0792302094315897
        15. \n", + "\t
      15. 0.240569213433345
        16. \n", + "\t
      16. 0.0815828204116991
        17. \n", + "\t
      17. 0.287711411899347
        18. \n", + "\t
      18. 0.251546924921024
        19. \n", + "\t
      19. 0.18705051333682
        20. \n", + "\t
      20. 0.246585696196311
        21. \n", + "\t
      21. 0.204390631508102
        22. \n", + "\t
      22. 0.230130086781824
        23. \n", + "\t
      23. 0.193874231685404
        24. \n", + "\t
      24. 0.31879463699136
        25. \n", + "\t
      25. 0.256253542355085
        26. \n", + "\t
      26. 0.212932007915823
        27. \n", + "\t
      27. 0.294826804289983
        28. \n", + "\t
      28. 0.12610732502036
        29. \n", + "\t
      29. 0.247738267376677
        30. \n", + "\t
      30. 0.266798768172817
        31. \n", + "\t
      31. 0.201417700353548
        32. \n", + "\t
      32. 0.287172780307469
        33. \n", + "\t
      33. 0.319360746832947
        34. \n", + "\t
      34. 0.301254686167602
        35. \n", + "\t
      35. 0.274800421739459
        36. \n", + "\t
      36. 0.320198508499586
        37. \n", + "\t
      37. 0.173058653309748
        38. \n", + "\t
      38. 0.170887296628925
        39. \n", + "\t
      39. 0.425455677838927
        40. \n", + "\t
      40. 0.275224783494797
        41. \n", + "\t
      41. 0.192589261788253
        42. \n", + "\t
      42. 0.267858056098771
        43. \n", + "\t
      43. 0.137328902055533
        44. \n", + "\t
      44. 0.187889387591686
        45. \n", + "\t
      45. 0.206048494698123
        46. \n", + "\t
      46. 0.214437898284899
        47. \n", + "\t
      47. 0.127440178257996
        48. \n", + "\t
      48. 0.301871419072699
        49. \n", + "\t
      49. 0.238093083089729
        50. \n", + "\t
      50. 0.285528187921723
        51. \n", + "\t
      51. 0.149585810427797
        52. \n", + "\t
      52. 0.167566479056922
        53. \n", + "\t
      53. 0.141165098994537
        54. \n", + "\t
      54. 0.317808942266893
        55. \n", + "\t
      55. 0.178734153688485
        56. \n", + "\t
      56. 0.130148768950456
        57. \n", + "\t
      57. 0.224051703096048
        58. \n", + "\t
      58. 0.211033508770552
        59. \n", + "\t
      59. 0.239539380387005
        60. \n", + "\t
      60. 0.375928029337563
        61. \n", + "\t
      61. 0.300747394465731
        62. \n", + "\t
      62. 0.217781503919284
        63. \n", + "\t
      63. 0.21614606921739
        64. \n", + "\t
      64. 0.310835742282465
        65. \n", + "\t
      65. 0.297677429412211
        66. \n", + "\t
      66. 0.214960381246613
        67. \n", + "\t
      67. 0.232923959348519
        68. \n", + "\t
      68. 0.266563844839131
        69. \n", + "\t
      69. 0.159830833564184
        70. \n", + "\t
      70. 0.142979755397434
        71. \n", + "\t
      71. 0.161143578731825
        72. \n", + "\t
      72. 0.245329314275013
        73. \n", + "\t
      73. 0.171830663780134
        74. \n", + "\t
      74. 0.273911132158635
        75. \n", + "\t
      75. 0.260288710314567
        76. \n", + "\t
      76. 0.295105074244106
        77. \n", + "\t
      77. 0.246591943307576
        78. \n", + "\t
      78. 0.24969096356448
        79. \n", + "\t
      79. 0.198585183535592
        80. \n", + "\t
      80. 0.165185621405904
        81. \n", + "\t
      81. 0.289984751915265
        82. \n", + "\t
      82. 0.226155344233984
        83. \n", + "\t
      83. 0.136093566097135
        84. \n", + "\t
      84. 0.228551561382682
        85. \n", + "\t
      85. 0.160177182170787
        86. \n", + "\t
      86. 0.259189154569008
        87. \n", + "\t
      87. 0.198019361480513
        88. \n", + "\t
      88. 0.292627896326448
        89. \n", + "\t
      89. 0.215190515165982
        90. \n", + "\t
      90. 0.266858758462102
        91. \n", + "\t
      91. 0.122172105275238
        92. \n", + "\t
      92. 0.180628149439334
        93. \n", + "\t
      93. 0.137593680065265
        94. \n", + "\t
      94. 0.152184201066464
        95. \n", + "\t
      95. 0.222143685567188
        96. \n", + "\t
      96. 0.10331272167135
        97. \n", + "\t
      97. 0.258969152589974
        98. \n", + "\t
      98. 0.29612897067057
        99. \n", + "\t
      99. 0.290910194959675
        100. \n", + "\t
      100. 0.218664921677066
        101. \n", + "
      \n", + "
      16. \n", + "\t
      16. \n", + "\t
      1. 0.312350144607955
        2. \n", + "\t
      2. 0.11401671382804
        3. \n", + "\t
      3. 0.362250827908355
        4. \n", + "\t
      4. 0.303336390623972
        5. \n", + "\t
      5. 0.416352359099262
        6. \n", + "\t
      6. 0.11675008914667
        7. \n", + "\t
      7. 0.227836423526207
        8. \n", + "\t
      8. 0.191254582490063
        9. \n", + "\t
      9. 0.275502229491833
        10. \n", + "\t
      10. 0.251671037421768
        11. \n", + "\t
      11. 0.289771800513535
        12. \n", + "\t
      12. 0.389680127911346
        13. \n", + "\t
      13. 0.175058723231676
        14. \n", + "\t
      14. 0.322594696038974
        15. \n", + "\t
      15. 0.188512259622608
        16. \n", + "\t
      16. 0.313932125701932
        17. \n", + "\t
      17. 0.29840760507226
        18. \n", + "\t
      18. 0.184934469223943
        19. \n", + "\t
      19. 0.194892611946171
        20. \n", + "\t
      20. 0.261133429829563
        21. \n", + "\t
      21. 0.249951423562553
        22. \n", + "\t
      22. 0.349740782002982
        23. \n", + "\t
      23. 0.223413188859849
        24. \n", + "\t
      24. 0.207725995786691
        25. \n", + "\t
      25. 0.351559684110635
        26. \n", + "\t
      26. 0.220448191760218
        27. \n", + "\t
      27. 0.144815005902594
        28. \n", + "\t
      28. 0.277454855338674
        29. \n", + "\t
      29. 0.362608733633622
        30. \n", + "\t
      30. 0.344419766199497
        31. \n", + "\t
      31. 0.176949467422285
        32. \n", + "\t
      32. 0.213494423728241
        33. \n", + "\t
      33. 0.241698002682545
        34. \n", + "\t
      34. 0.214398512338343
        35. \n", + "\t
      35. 0.30772267294321
        36. \n", + "\t
      36. 0.248442220162783
        37. \n", + "\t
      37. 0.103085756256019
        38. \n", + "\t
      38. 0.256788700237568
        39. \n", + "\t
      39. 0.247996050682045
        40. \n", + "\t
      40. 0.314444559420492
        41. \n", + "\t
      41. 0.287047939260618
        42. \n", + "\t
      42. 0.190696146487025
        43. \n", + "\t
      43. 0.202329742004876
        44. \n", + "\t
      44. 0.234190772963176
        45. \n", + "\t
      45. 0.293266802266102
        46. \n", + "\t
      46. 0.190053365510483
        47. \n", + "\t
      47. 0.273994354079151
        48. \n", + "\t
      48. 0.218378066216422
        49. \n", + "\t
      49. 0.257585191639699
        50. \n", + "\t
      50. 0.216154804520669
        51. \n", + "\t
      51. 0.200958597847981
        52. \n", + "\t
      52. 0.207963516074643
        53. \n", + "\t
      53. 0.237484499515721
        54. \n", + "\t
      54. 0.246304484499296
        55. \n", + "\t
      55. 0.185208371896785
        56. \n", + "\t
      56. 0.344156969733868
        57. \n", + "\t
      57. 0.151149656456351
        58. \n", + "\t
      58. 0.227007546769517
        59. \n", + "\t
      59. 0.232480357019713
        60. \n", + "\t
      60. 0.214541965236901
        61. \n", + "\t
      61. 0.115577690305482
        62. \n", + "\t
      62. 0.159702744137292
        63. \n", + "\t
      63. 0.151085004365002
        64. \n", + "\t
      64. 0.297125926796205
        65. \n", + "\t
      65. 0.134863364521525
        66. \n", + "\t
      66. 0.309208925894073
        67. \n", + "\t
      67. 0.401791143003335
        68. \n", + "\t
      68. 0.198664770174448
        69. \n", + "\t
      69. 0.185312098297374
        70. \n", + "\t
      70. 0.177952054431429
        71. \n", + "\t
      71. 0.243666959945885
        72. \n", + "\t
      72. 0.211458178074575
        73. \n", + "\t
      73. 0.218548981187041
        74. \n", + "\t
      74. 0.164419469942016
        75. \n", + "\t
      75. 0.151911570069225
        76. \n", + "\t
      76. 0.38181326396043
        77. \n", + "\t
      77. 0.262649805206775
        78. \n", + "\t
      78. 0.131778382064659
        79. \n", + "\t
      79. 0.234487783450685
        80. \n", + "\t
      80. 0.24767924757294
        81. \n", + "\t
      81. 0.163633607457516
        82. \n", + "\t
      82. 0.205298168245525
        83. \n", + "\t
      83. 0.30214915698966
        84. \n", + "\t
      84. 0.279618307903565
        85. \n", + "\t
      85. 0.240541986118449
        86. \n", + "\t
      86. 0.305799849595178
        87. \n", + "\t
      87. 0.176198610596292
        88. \n", + "\t
      88. 0.224257491605346
        89. \n", + "\t
      89. 0.235881752016567
        90. \n", + "\t
      90. 0.252592954374857
        91. \n", + "\t
      91. 0.363627895654458
        92. \n", + "\t
      92. 0.309152048523177
        93. \n", + "\t
      93. 0.269977660031396
        94. \n", + "\t
      94. 0.257439226305316
        95. \n", + "\t
      95. 0.247045598575325
        96. \n", + "\t
      96. 0.136163368250937
        97. \n", + "\t
      97. 0.226308123573236
        98. \n", + "\t
      98. 0.22526060852187
        99. \n", + "\t
      99. 0.285825452254434
        100. \n", + "\t
      100. 0.272975247077041
        101. \n", + "
      \n", + "
      17. \n", + "\t
      17. \n", + "\t
      1. 0.303397174980562
        2. \n", + "\t
      2. 0.352608545391113
        3. \n", + "\t
      3. 0.165749085778865
        4. \n", + "\t
      4. 0.23887533901246
        5. \n", + "\t
      5. 0.20457817040614
        6. \n", + "\t
      6. 0.248154714728934
        7. \n", + "\t
      7. 0.178144279618553
        8. \n", + "\t
      8. 0.16102122365893
        9. \n", + "\t
      9. 0.25541316268146
        10. \n", + "\t
      10. 0.340113063324359
        11. \n", + "\t
      11. 0.301241190892511
        12. \n", + "\t
      12. 0.406481265624065
        13. \n", + "\t
      13. 0.194796831369948
        14. \n", + "\t
      14. 0.232623538154481
        15. \n", + "\t
      15. 0.279751983485329
        16. \n", + "\t
      16. 0.173400956090224
        17. \n", + "\t
      17. 0.141729100694058
        18. \n", + "\t
      18. 0.23215430282213
        19. \n", + "\t
      19. 0.39193123394101
        20. \n", + "\t
      20. 0.204558268608332
        21. \n", + "\t
      21. 0.191094795724497
        22. \n", + "\t
      22. 0.340368692250776
        23. \n", + "\t
      23. 0.303132258476256
        24. \n", + "\t
      24. 0.327201774134919
        25. \n", + "\t
      25. 0.184306751925056
        26. \n", + "\t
      26. 0.241657630254978
        27. \n", + "\t
      27. 0.150663123963874
        28. \n", + "\t
      28. 0.189119537300771
        29. \n", + "\t
      29. 0.269270677769787
        30. \n", + "\t
      30. 0.2237359655355
        31. \n", + "\t
      31. 0.200290229059702
        32. \n", + "\t
      32. 0.37967825974411
        33. \n", + "\t
      33. 0.160223427199428
        34. \n", + "\t
      34. 0.294504302847643
        35. \n", + "\t
      35. 0.405359927830703
        36. \n", + "\t
      36. 0.216396049031313
        37. \n", + "\t
      37. 0.263147227218396
        38. \n", + "\t
      38. 0.344237932513789
        39. \n", + "\t
      39. 0.341702923053515
        40. \n", + "\t
      40. 0.289851921692096
        41. \n", + "\t
      41. 0.265597773348945
        42. \n", + "\t
      42. 0.383191412435587
        43. \n", + "\t
      43. 0.195222881276116
        44. \n", + "\t
      44. 0.223201245740866
        45. \n", + "\t
      45. 0.207487568682935
        46. \n", + "\t
      46. 0.450232462027545
        47. \n", + "\t
      47. 0.233713260573481
        48. \n", + "\t
      48. 0.263496792301767
        49. \n", + "\t
      49. 0.267407228727018
        50. \n", + "\t
      50. 0.293602541430862
        51. \n", + "\t
      51. 0.257828338931825
        52. \n", + "\t
      52. 0.277381663793666
        53. \n", + "\t
      53. 0.223270694884206
        54. \n", + "\t
      54. 0.243771378755378
        55. \n", + "\t
      55. 0.353954708952126
        56. \n", + "\t
      56. 0.3223558165271
        57. \n", + "\t
      57. 0.190871372219903
        58. \n", + "\t
      58. 0.0867562144776758
        59. \n", + "\t
      59. 0.307869457180794
        60. \n", + "\t
      60. 0.282826225170929
        61. \n", + "\t
      61. 0.155105389262134
        62. \n", + "\t
      62. 0.228126568324404
        63. \n", + "\t
      63. 0.285244188204439
        64. \n", + "\t
      64. 0.155027317826397
        65. \n", + "\t
      65. 0.305255027247479
        66. \n", + "\t
      66. 0.28759480788031
        67. \n", + "\t
      67. 0.291987872932039
        68. \n", + "\t
      68. 0.257184147153886
        69. \n", + "\t
      69. 0.244627138026384
        70. \n", + "\t
      70. 0.213233641852472
        71. \n", + "\t
      71. 0.233642037453664
        72. \n", + "\t
      72. 0.371540594289551
        73. \n", + "\t
      73. 0.33036857007714
        74. \n", + "\t
      74. 0.199352317588759
        75. \n", + "\t
      75. 0.296900491506276
        76. \n", + "\t
      76. 0.290101635822282
        77. \n", + "\t
      77. 0.138745029722557
        78. \n", + "\t
      78. 0.201436368724344
        79. \n", + "\t
      79. 0.306237365458565
        80. \n", + "\t
      80. 0.211957492061514
        81. \n", + "\t
      81. 0.300139147648647
        82. \n", + "\t
      82. 0.219258691693915
        83. \n", + "\t
      83. 0.302828597017229
        84. \n", + "\t
      84. 0.248601657751776
        85. \n", + "\t
      85. 0.235026614600039
        86. \n", + "\t
      86. 0.271511507490489
        87. \n", + "\t
      87. 0.265659461737447
        88. \n", + "\t
      88. 0.163962579798209
        89. \n", + "\t
      89. 0.228248860243875
        90. \n", + "\t
      90. 0.39206182488458
        91. \n", + "\t
      91. 0.331893808396491
        92. \n", + "\t
      92. 0.292750781798435
        93. \n", + "\t
      93. 0.130285122418994
        94. \n", + "\t
      94. 0.244783572345509
        95. \n", + "\t
      95. 0.222972032330244
        96. \n", + "\t
      96. 0.265868589185386
        97. \n", + "\t
      97. 0.113421603375897
        98. \n", + "\t
      98. 0.216487376323119
        99. \n", + "\t
      99. 0.285389202595067
        100. \n", + "\t
      100. 0.199173305688539
        101. \n", + "
      \n", + "
      18. \n", + "\t
      18. \n", + "\t
      1. 0.301762612285174
        2. \n", + "\t
      2. 0.339567428427841
        3. \n", + "\t
      3. 0.296141886969838
        4. \n", + "\t
      4. 0.328290301796681
        5. \n", + "\t
      5. 0.317457068217942
        6. \n", + "\t
      6. 0.342603748863672
        7. \n", + "\t
      7. 0.255130434104852
        8. \n", + "\t
      8. 0.236177818379253
        9. \n", + "\t
      9. 0.249724595442259
        10. \n", + "\t
      10. 0.210418075907405
        11. \n", + "\t
      11. 0.367382634682528
        12. \n", + "\t
      12. 0.201099268667593
        13. \n", + "\t
      13. 0.181275268939166
        14. \n", + "\t
      14. 0.190031696327926
        15. \n", + "\t
      15. 0.226515614411344
        16. \n", + "\t
      16. 0.318014408304338
        17. \n", + "\t
      17. 0.267014469269394
        18. \n", + "\t
      18. 0.248627295241077
        19. \n", + "\t
      19. 0.196369791559728
        20. \n", + "\t
      20. 0.21256870587734
        21. \n", + "\t
      21. 0.173437446070342
        22. \n", + "\t
      22. 0.248931743161822
        23. \n", + "\t
      23. 0.306931270779925
        24. \n", + "\t
      24. 0.135362513660587
        25. \n", + "\t
      25. 0.141370815496725
        26. \n", + "\t
      26. 0.252184596367965
        27. \n", + "\t
      27. 0.243255825939532
        28. \n", + "\t
      28. 0.278015748623961
        29. \n", + "\t
      29. 0.200544166550277
        30. \n", + "\t
      30. 0.287978789886455
        31. \n", + "\t
      31. 0.259889537690159
        32. \n", + "\t
      32. 0.152535472797332
        33. \n", + "\t
      33. 0.355620838899383
        34. \n", + "\t
      34. 0.296852208987299
        35. \n", + "\t
      35. 0.224957569839703
        36. \n", + "\t
      36. 0.280046842520687
        37. \n", + "\t
      37. 0.305348309104112
        38. \n", + "\t
      38. 0.214693916903551
        39. \n", + "\t
      39. 0.183216171845459
        40. \n", + "\t
      40. 0.292239285534027
        41. \n", + "\t
      41. 0.279083699362992
        42. \n", + "\t
      42. 0.276364743607108
        43. \n", + "\t
      43. 0.213635876220388
        44. \n", + "\t
      44. 0.232102979285306
        45. \n", + "\t
      45. 0.286087984278396
        46. \n", + "\t
      46. 0.224932425758918
        47. \n", + "\t
      47. 0.314720536283941
        48. \n", + "\t
      48. 0.270620276484379
        49. \n", + "\t
      49. 0.228392476227033
        50. \n", + "\t
      50. 0.194881328416091
        51. \n", + "\t
      51. 0.359054076406798
        52. \n", + "\t
      52. 0.270203896039805
        53. \n", + "\t
      53. 0.319324527746996
        54. \n", + "\t
      54. 0.126509898440075
        55. \n", + "\t
      55. 0.110211668410186
        56. \n", + "\t
      56. 0.276908115581529
        57. \n", + "\t
      57. 0.095395446272241
        58. \n", + "\t
      58. 0.38184768277733
        59. \n", + "\t
      59. 0.274162622649821
        60. \n", + "\t
      60. 0.284867736497276
        61. \n", + "\t
      61. 0.251915473546307
        62. \n", + "\t
      62. 0.283759202909109
        63. \n", + "\t
      63. 0.218613979046605
        64. \n", + "\t
      64. 0.27225450115068
        65. \n", + "\t
      65. 0.225962555213104
        66. \n", + "\t
      66. 0.204207060340722
        67. \n", + "\t
      67. 0.282812126581035
        68. \n", + "\t
      68. 0.231978655153068
        69. \n", + "\t
      69. 0.269462336598836
        70. \n", + "\t
      70. 0.230873851345981
        71. \n", + "\t
      71. 0.135284085439539
        72. \n", + "\t
      72. 0.202291937474306
        73. \n", + "\t
      73. 0.1730077346955
        74. \n", + "\t
      74. 0.235908140719069
        75. \n", + "\t
      75. 0.21804948924666
        76. \n", + "\t
      76. 0.223744100487858
        77. \n", + "\t
      77. 0.197620584973352
        78. \n", + "\t
      78. 0.248204341475164
        79. \n", + "\t
      79. 0.191936592869306
        80. \n", + "\t
      80. 0.193151477393113
        81. \n", + "\t
      81. 0.145174748556449
        82. \n", + "\t
      82. 0.225824706203242
        83. \n", + "\t
      83. 0.360188779829661
        84. \n", + "\t
      84. 0.173992307744029
        85. \n", + "\t
      85. 0.260281512706753
        86. \n", + "\t
      86. 0.242209801253213
        87. \n", + "\t
      87. 0.34264586081568
        88. \n", + "\t
      88. 0.145551265526521
        89. \n", + "\t
      89. 0.291134917625517
        90. \n", + "\t
      90. 0.229250892814618
        91. \n", + "\t
      91. 0.245570079154083
        92. \n", + "\t
      92. 0.194074003902078
        93. \n", + "\t
      93. 0.185937029838602
        94. \n", + "\t
      94. 0.140638288354773
        95. \n", + "\t
      95. 0.157027317187418
        96. \n", + "\t
      96. 0.309403930691333
        97. \n", + "\t
      97. 0.179036759078151
        98. \n", + "\t
      98. 0.28842246562051
        99. \n", + "\t
      99. 0.252496280596459
        100. \n", + "\t
      100. 0.297830966719141
        101. \n", + "
      \n", + "
      19. \n", + "\t
      19. \n", + "\t
      1. 0.260513121268436
        2. \n", + "\t
      2. 0.221864139229825
        3. \n", + "\t
      3. 0.299906074096097
        4. \n", + "\t
      4. 0.236628153011208
        5. \n", + "\t
      5. 0.136251853590297
        6. \n", + "\t
      6. 0.272609117784145
        7. \n", + "\t
      7. 0.273434909998605
        8. \n", + "\t
      8. 0.244763487386598
        9. \n", + "\t
      9. 0.324713107574028
        10. \n", + "\t
      10. 0.293278858503786
        11. \n", + "\t
      11. 0.232349627504162
        12. \n", + "\t
      12. 0.390655214695378
        13. \n", + "\t
      13. 0.270264318382779
        14. \n", + "\t
      14. 0.338137957554642
        15. \n", + "\t
      15. 0.298324687142999
        16. \n", + "\t
      16. 0.312219130390689
        17. \n", + "\t
      17. 0.299595458672383
        18. \n", + "\t
      18. 0.254785383553423
        19. \n", + "\t
      19. 0.125969947894654
        20. \n", + "\t
      20. 0.338203077182999
        21. \n", + "\t
      21. 0.282220566953011
        22. \n", + "\t
      22. 0.268471645829982
        23. \n", + "\t
      23. 0.19957012534547
        24. \n", + "\t
      24. 0.196989946632408
        25. \n", + "\t
      25. 0.366497671463118
        26. \n", + "\t
      26. 0.165717735018548
        27. \n", + "\t
      27. 0.299029852283404
        28. \n", + "\t
      28. 0.213847267784552
        29. \n", + "\t
      29. 0.239872627068654
        30. \n", + "\t
      30. 0.248928835349806
        31. \n", + "\t
      31. 0.316159133108127
        32. \n", + "\t
      32. 0.247782306821514
        33. \n", + "\t
      33. 0.229664079474613
        34. \n", + "\t
      34. 0.140623832920828
        35. \n", + "\t
      35. 0.244035294886799
        36. \n", + "\t
      36. 0.291991263699435
        37. \n", + "\t
      37. 0.170429067896798
        38. \n", + "\t
      38. 0.251479726540741
        39. \n", + "\t
      39. 0.175799643091531
        40. \n", + "\t
      40. 0.169145417542262
        41. \n", + "\t
      41. 0.300256947655983
        42. \n", + "\t
      42. 0.260946416659131
        43. \n", + "\t
      43. 0.253278722334624
        44. \n", + "\t
      44. 0.230854844697921
        45. \n", + "\t
      45. 0.14925962853008
        46. \n", + "\t
      46. 0.172756521001941
        47. \n", + "\t
      47. 0.325224163623781
        48. \n", + "\t
      48. 0.217899059658824
        49. \n", + "\t
      49. 0.354793196037019
        50. \n", + "\t
      50. 0.261560193647775
        51. \n", + "\t
      51. 0.129275461772148
        52. \n", + "\t
      52. 0.291283292626179
        53. \n", + "\t
      53. 0.259862206977401
        54. \n", + "\t
      54. 0.342711286477681
        55. \n", + "\t
      55. 0.227759082455734
        56. \n", + "\t
      56. 0.323242796713791
        57. \n", + "\t
      57. 0.230045942344492
        58. \n", + "\t
      58. 0.256941479714464
        59. \n", + "\t
      59. 0.181667130641529
        60. \n", + "\t
      60. 0.258464822095132
        61. \n", + "\t
      61. 0.163758292296934
        62. \n", + "\t
      62. 0.154339299842029
        63. \n", + "\t
      63. 0.106082850706396
        64. \n", + "\t
      64. 0.303454402619814
        65. \n", + "\t
      65. 0.188542545290957
        66. \n", + "\t
      66. 0.169042966117192
        67. \n", + "\t
      67. 0.331725982079358
        68. \n", + "\t
      68. 0.217458016464167
        69. \n", + "\t
      69. 0.171245530671568
        70. \n", + "\t
      70. 0.20209816578894
        71. \n", + "\t
      71. 0.201876332514131
        72. \n", + "\t
      72. 0.218482966989256
        73. \n", + "\t
      73. 0.27419920973662
        74. \n", + "\t
      74. 0.288334503516876
        75. \n", + "\t
      75. 0.175544935730241
        76. \n", + "\t
      76. 0.250121748505335
        77. \n", + "\t
      77. 0.156058914533061
        78. \n", + "\t
      78. 0.236062019232745
        79. \n", + "\t
      79. 0.291824516055119
        80. \n", + "\t
      80. 0.238831548807586
        81. \n", + "\t
      81. 0.346075609480488
        82. \n", + "\t
      82. 0.201296238552964
        83. \n", + "\t
      83. 0.22965472259169
        84. \n", + "\t
      84. 0.194955776951755
        85. \n", + "\t
      85. 0.21807455685029
        86. \n", + "\t
      86. 0.253162365826687
        87. \n", + "\t
      87. 0.217596439572457
        88. \n", + "\t
      88. 0.288138302046912
        89. \n", + "\t
      89. 0.399929469626412
        90. \n", + "\t
      90. 0.362907953153394
        91. \n", + "\t
      91. 0.214666388626679
        92. \n", + "\t
      92. 0.220304139028145
        93. \n", + "\t
      93. 0.147562845390231
        94. \n", + "\t
      94. 0.31731698727839
        95. \n", + "\t
      95. 0.15014390395127
        96. \n", + "\t
      96. 0.140810829464103
        97. \n", + "\t
      97. 0.279512084309052
        98. \n", + "\t
      98. 0.21552762928483
        99. \n", + "\t
      99. 0.270436277745958
        100. \n", + "\t
      100. 0.208364182416526
        101. \n", + "
      \n", + "
      20. \n", + "\t
      20. \n", + "\t
      1. 0.407212863670037
        2. \n", + "\t
      2. 0.26259900714273
        3. \n", + "\t
      3. 0.265339964157701
        4. \n", + "\t
      4. 0.187407172946769
        5. \n", + "\t
      5. 0.380888537587005
        6. \n", + "\t
      6. 0.295635980855576
        7. \n", + "\t
      7. 0.214120611861521
        8. \n", + "\t
      8. 0.372542568130721
        9. \n", + "\t
      9. 0.247085843541326
        10. \n", + "\t
      10. 0.181397758021418
        11. \n", + "\t
      11. 0.240589864153278
        12. \n", + "\t
      12. 0.303477740838336
        13. \n", + "\t
      13. 0.199012060525001
        14. \n", + "\t
      14. 0.232555900638264
        15. \n", + "\t
      15. 0.330184557656316
        16. \n", + "\t
      16. 0.34696968505922
        17. \n", + "\t
      17. 0.40494434818742
        18. \n", + "\t
      18. 0.27710481280911
        19. \n", + "\t
      19. 0.307914642913479
        20. \n", + "\t
      20. 0.187631087902483
        21. \n", + "\t
      21. 0.290746446322696
        22. \n", + "\t
      22. 0.357803763710374
        23. \n", + "\t
      23. 0.124589659366313
        24. \n", + "\t
      24. 0.441287790888816
        25. \n", + "\t
      25. 0.397691226661751
        26. \n", + "\t
      26. 0.21898566707414
        27. \n", + "\t
      27. 0.236816541546375
        28. \n", + "\t
      28. 0.409143859592916
        29. \n", + "\t
      29. 0.369653865009062
        30. \n", + "\t
      30. 0.265309937429147
        31. \n", + "\t
      31. 0.13089619205116
        32. \n", + "\t
      32. 0.350806333818894
        33. \n", + "\t
      33. 0.378290240075981
        34. \n", + "\t
      34. 0.256360023413532
        35. \n", + "\t
      35. 0.42294238302283
        36. \n", + "\t
      36. 0.251396182842548
        37. \n", + "\t
      37. 0.272855749178441
        38. \n", + "\t
      38. 0.296873064533508
        39. \n", + "\t
      39. 0.332857842785537
        40. \n", + "\t
      40. 0.313486343991097
        41. \n", + "\t
      41. 0.210641867755748
        42. \n", + "\t
      42. 0.261233496216118
        43. \n", + "\t
      43. 0.153401281231996
        44. \n", + "\t
      44. 0.272937546213556
        45. \n", + "\t
      45. 0.262962859444711
        46. \n", + "\t
      46. 0.273187694170305
        47. \n", + "\t
      47. 0.196280264547487
        48. \n", + "\t
      48. 0.191139906119032
        49. \n", + "\t
      49. 0.151849613228521
        50. \n", + "\t
      50. 0.284471544850053
        51. \n", + "\t
      51. 0.32674132654076
        52. \n", + "\t
      52. 0.299974742631083
        53. \n", + "\t
      53. 0.365517724013172
        54. \n", + "\t
      54. 0.312364295017157
        55. \n", + "\t
      55. 0.356206111389337
        56. \n", + "\t
      56. 0.218678990671493
        57. \n", + "\t
      57. 0.294749844900875
        58. \n", + "\t
      58. 0.198796284878366
        59. \n", + "\t
      59. 0.215716705776093
        60. \n", + "\t
      60. 0.30138947210473
        61. \n", + "\t
      61. 0.31566137622996
        62. \n", + "\t
      62. 0.282306113819603
        63. \n", + "\t
      63. 0.313389060791142
        64. \n", + "\t
      64. 0.254356689360999
        65. \n", + "\t
      65. 0.239573763792078
        66. \n", + "\t
      66. 0.271171215283439
        67. \n", + "\t
      67. 0.405063105874992
        68. \n", + "\t
      68. 0.445503139260685
        69. \n", + "\t
      69. 0.29137859534978
        70. \n", + "\t
      70. 0.441281037122697
        71. \n", + "\t
      71. 0.318681827144821
        72. \n", + "\t
      72. 0.17047513875162
        73. \n", + "\t
      73. 0.188802697031335
        74. \n", + "\t
      74. 0.270007668715855
        75. \n", + "\t
      75. 0.317688764630627
        76. \n", + "\t
      76. 0.483343574800063
        77. \n", + "\t
      77. 0.229791186960528
        78. \n", + "\t
      78. 0.319562141764945
        79. \n", + "\t
      79. 0.3539828513105
        80. \n", + "\t
      80. 0.326649139018672
        81. \n", + "\t
      81. 0.370245075370292
        82. \n", + "\t
      82. 0.378104403051472
        83. \n", + "\t
      83. 0.270881621206153
        84. \n", + "\t
      84. 0.189425210245894
        85. \n", + "\t
      85. 0.27783004430241
        86. \n", + "\t
      86. 0.316878372058281
        87. \n", + "\t
      87. 0.244034286240587
        88. \n", + "\t
      88. 0.287322279676312
        89. \n", + "\t
      89. 0.244947818826811
        90. \n", + "\t
      90. 0.275071775742095
        91. \n", + "\t
      91. 0.262032121061035
        92. \n", + "\t
      92. 0.333486998097271
        93. \n", + "\t
      93. 0.28395298440981
        94. \n", + "\t
      94. 0.296322780372591
        95. \n", + "\t
      95. 0.251800732890168
        96. \n", + "\t
      96. 0.240314343520339
        97. \n", + "\t
      97. 0.390890364125502
        98. \n", + "\t
      98. 0.329401614647853
        99. \n", + "\t
      99. 0.312266832495343
        100. \n", + "\t
      100. 0.303252438090021
        101. \n", + "
      \n", + "
      21. \n", + "\t
      21. \n", + "\t
      1. 0.261752969563751
        2. \n", + "\t
      2. 0.194432546160047
        3. \n", + "\t
      3. 0.390682483253288
        4. \n", + "\t
      4. 0.306261877998027
        5. \n", + "\t
      5. 0.329011674827553
        6. \n", + "\t
      6. 0.288131383869347
        7. \n", + "\t
      7. 0.279432103288359
        8. \n", + "\t
      8. 0.234277648662775
        9. \n", + "\t
      9. 0.194996573142638
        10. \n", + "\t
      10. 0.399339727269028
        11. \n", + "\t
      11. 0.217363215098335
        12. \n", + "\t
      12. 0.238293733960676
        13. \n", + "\t
      13. 0.276877720885042
        14. \n", + "\t
      14. 0.41322162963016
        15. \n", + "\t
      15. 0.248405254910225
        16. \n", + "\t
      16. 0.210167736046665
        17. \n", + "\t
      17. 0.443526153051012
        18. \n", + "\t
      18. 0.298211324928173
        19. \n", + "\t
      19. 0.31414635343961
        20. \n", + "\t
      20. 0.38668855786192
        21. \n", + "\t
      21. 0.123739047510941
        22. \n", + "\t
      22. 0.274716503676127
        23. \n", + "\t
      23. 0.271579055043973
        24. \n", + "\t
      24. 0.297912757740996
        25. \n", + "\t
      25. 0.257623943666812
        26. \n", + "\t
      26. 0.230585874738817
        27. \n", + "\t
      27. 0.342284702417808
        28. \n", + "\t
      28. 0.252419644116393
        29. \n", + "\t
      29. 0.374409961860856
        30. \n", + "\t
      30. 0.357087965943939
        31. \n", + "\t
      31. 0.259101108525173
        32. \n", + "\t
      32. 0.413048100949767
        33. \n", + "\t
      33. 0.380050907874524
        34. \n", + "\t
      34. 0.25261278793338
        35. \n", + "\t
      35. 0.323422612502635
        36. \n", + "\t
      36. 0.319212187107568
        37. \n", + "\t
      37. 0.340542364857126
        38. \n", + "\t
      38. 0.152796025379999
        39. \n", + "\t
      39. 0.194498371165383
        40. \n", + "\t
      40. 0.181093159980614
        41. \n", + "\t
      41. 0.303886883569759
        42. \n", + "\t
      42. 0.244997524490712
        43. \n", + "\t
      43. 0.0867429794156803
        44. \n", + "\t
      44. 0.370288288744212
        45. \n", + "\t
      45. 0.409975993578132
        46. \n", + "\t
      46. 0.231572852498216
        47. \n", + "\t
      47. 0.200159064968827
        48. \n", + "\t
      48. 0.29639019603394
        49. \n", + "\t
      49. 0.428815393236808
        50. \n", + "\t
      50. 0.279350336299446
        51. \n", + "\t
      51. 0.277077346211509
        52. \n", + "\t
      52. 0.273851712890361
        53. \n", + "\t
      53. 0.188742062535461
        54. \n", + "\t
      54. 0.242629584561762
        55. \n", + "\t
      55. 0.300630846326878
        56. \n", + "\t
      56. 0.289453373321778
        57. \n", + "\t
      57. 0.277648585951892
        58. \n", + "\t
      58. 0.284247329785747
        59. \n", + "\t
      59. 0.139699369258669
        60. \n", + "\t
      60. 0.32661182988513
        61. \n", + "\t
      61. 0.148987299498159
        62. \n", + "\t
      62. 0.187743722812253
        63. \n", + "\t
      63. 0.161076422765017
        64. \n", + "\t
      64. 0.293230704834648
        65. \n", + "\t
      65. 0.233405235408643
        66. \n", + "\t
      66. 0.233177609888357
        67. \n", + "\t
      67. 0.349773599157271
        68. \n", + "\t
      68. 0.257781472881908
        69. \n", + "\t
      69. 0.358507567029703
        70. \n", + "\t
      70. 0.419807031379697
        71. \n", + "\t
      71. 0.364466987488002
        72. \n", + "\t
      72. 0.247504882667479
        73. \n", + "\t
      73. 0.447127897448278
        74. \n", + "\t
      74. 0.288909310617727
        75. \n", + "\t
      75. 0.307722888120693
        76. \n", + "\t
      76. 0.207522524178399
        77. \n", + "\t
      77. 0.330909619355397
        78. \n", + "\t
      78. 0.239954874956611
        79. \n", + "\t
      79. 0.207713192561721
        80. \n", + "\t
      80. 0.344098733619988
        81. \n", + "\t
      81. 0.260745204003168
        82. \n", + "\t
      82. 0.40234756441158
        83. \n", + "\t
      83. 0.328000053475563
        84. \n", + "\t
      84. 0.318000744168585
        85. \n", + "\t
      85. 0.219511586516522
        86. \n", + "\t
      86. 0.259839814956542
        87. \n", + "\t
      87. 0.293641290510434
        88. \n", + "\t
      88. 0.278866271568972
        89. \n", + "\t
      89. 0.328899665502094
        90. \n", + "\t
      90. 0.342918641511441
        91. \n", + "\t
      91. 0.297288961750045
        92. \n", + "\t
      92. 0.212026621271744
        93. \n", + "\t
      93. 0.221945171751561
        94. \n", + "\t
      94. 0.219390991307405
        95. \n", + "\t
      95. 0.212981349943246
        96. \n", + "\t
      96. 0.119446547991536
        97. \n", + "\t
      97. 0.284430700571163
        98. \n", + "\t
      98. 0.388414414085216
        99. \n", + "\t
      99. 0.44007108693793
        100. \n", + "\t
      100. 0.298675286244111
        101. \n", + "
      \n", + "
      22. \n", + "\t
      22. \n", + "\t
      1. 0.24593631350433
        2. \n", + "\t
      2. 0.250064525060761
        3. \n", + "\t
      3. 0.127587818757328
        4. \n", + "\t
      4. 0.109400069595138
        5. \n", + "\t
      5. 0.125927075793169
        6. \n", + "\t
      6. 0.358703110913644
        7. \n", + "\t
      7. 0.351643665762047
        8. \n", + "\t
      8. 0.323887629047459
        9. \n", + "\t
      9. 0.258359967323282
        10. \n", + "\t
      10. 0.177592884729505
        11. \n", + "\t
      11. 0.291219337666058
        12. \n", + "\t
      12. 0.21143366663039
        13. \n", + "\t
      13. 0.180099788034038
        14. \n", + "\t
      14. 0.299005266684182
        15. \n", + "\t
      15. 0.199610158422599
        16. \n", + "\t
      16. 0.287746604197203
        17. \n", + "\t
      17. 0.270043761287939
        18. \n", + "\t
      18. 0.265317789120958
        19. \n", + "\t
      19. 0.167026170373747
        20. \n", + "\t
      20. 0.182294769927986
        21. \n", + "\t
      21. 0.111062945683693
        22. \n", + "\t
      22. 0.237035275572633
        23. \n", + "\t
      23. 0.383263302653812
        24. \n", + "\t
      24. 0.160969731238787
        25. \n", + "\t
      25. 0.217769844157399
        26. \n", + "\t
      26. 0.261634457112054
        27. \n", + "\t
      27. 0.288091565519793
        28. \n", + "\t
      28. 0.407453206519856
        29. \n", + "\t
      29. 0.390486587088106
        30. \n", + "\t
      30. 0.249164117708198
        31. \n", + "\t
      31. 0.126028204095691
        32. \n", + "\t
      32. 0.363160246884484
        33. \n", + "\t
      33. 0.218059456966916
        34. \n", + "\t
      34. 0.274054170312664
        35. \n", + "\t
      35. 0.247521856428345
        36. \n", + "\t
      36. 0.208707172074137
        37. \n", + "\t
      37. 0.120740817435924
        38. \n", + "\t
      38. 0.12951915490214
        39. \n", + "\t
      39. 0.428351516750484
        40. \n", + "\t
      40. 0.442427305759305
        41. \n", + "\t
      41. 0.201856651605498
        42. \n", + "\t
      42. 0.241039979547204
        43. \n", + "\t
      43. 0.300917060417994
        44. \n", + "\t
      44. 0.295578054789709
        45. \n", + "\t
      45. 0.203664277460196
        46. \n", + "\t
      46. 0.218956108715855
        47. \n", + "\t
      47. 0.217904882064193
        48. \n", + "\t
      48. 0.161175001820744
        49. \n", + "\t
      49. 0.140632708583523
        50. \n", + "\t
      50. 0.126340354068232
        51. \n", + "\t
      51. 0.0919533192774643
        52. \n", + "\t
      52. 0.285722772893437
        53. \n", + "\t
      53. 0.215465765474266
        54. \n", + "\t
      54. 0.162210940374733
        55. \n", + "\t
      55. 0.316860203957516
        56. \n", + "\t
      56. 0.228318909264676
        57. \n", + "\t
      57. 0.314389220296189
        58. \n", + "\t
      58. 0.170773473529748
        59. \n", + "\t
      59. 0.382016870073895
        60. \n", + "\t
      60. 0.23987585631704
        61. \n", + "\t
      61. 0.224617423782704
        62. \n", + "\t
      62. 0.229898493576483
        63. \n", + "\t
      63. 0.265528958411321
        64. \n", + "\t
      64. 0.232727738869364
        65. \n", + "\t
      65. 0.21945716043768
        66. \n", + "\t
      66. 0.308809920425623
        67. \n", + "\t
      67. 0.299719596106605
        68. \n", + "\t
      68. 0.243414372557809
        69. \n", + "\t
      69. 0.294947315760536
        70. \n", + "\t
      70. 0.262257310508629
        71. \n", + "\t
      71. 0.36429192362252
        72. \n", + "\t
      72. 0.317655076555813
        73. \n", + "\t
      73. 0.180764516731285
        74. \n", + "\t
      74. 0.20848416750714
        75. \n", + "\t
      75. 0.285995347834827
        76. \n", + "\t
      76. 0.131528802915861
        77. \n", + "\t
      77. 0.262289355677309
        78. \n", + "\t
      78. 0.0802269194786452
        79. \n", + "\t
      79. 0.299261167524428
        80. \n", + "\t
      80. 0.279554044870114
        81. \n", + "\t
      81. 0.371059207696729
        82. \n", + "\t
      82. 0.309388842003962
        83. \n", + "\t
      83. 0.166286477676485
        84. \n", + "\t
      84. 0.0932495278414668
        85. \n", + "\t
      85. 0.248248975684935
        86. \n", + "\t
      86. 0.142547132290101
        87. \n", + "\t
      87. 0.205156807954786
        88. \n", + "\t
      88. 0.179586155380309
        89. \n", + "\t
      89. 0.0773012488402846
        90. \n", + "\t
      90. 0.28733711358062
        91. \n", + "\t
      91. 0.269789058436216
        92. \n", + "\t
      92. 0.246666734402295
        93. \n", + "\t
      93. 0.285266124914916
        94. \n", + "\t
      94. 0.184558812374726
        95. \n", + "\t
      95. 0.0964642755718894
        96. \n", + "\t
      96. 0.232093925191389
        97. \n", + "\t
      97. 0.174895011251429
        98. \n", + "\t
      98. 0.215462315452679
        99. \n", + "\t
      99. 0.117104716292135
        100. \n", + "\t
      100. 0.304772177445191
        101. \n", + "
      \n", + "
      23. \n", + "\t
      23. \n", + "\t
      1. 0.287988624588734
        2. \n", + "\t
      2. 0.182110484447088
        3. \n", + "\t
      3. 0.186012362501729
        4. \n", + "\t
      4. 0.329383173709694
        5. \n", + "\t
      5. 0.242979536262481
        6. \n", + "\t
      6. 0.327945694684661
        7. \n", + "\t
      7. 0.15650403465427
        8. \n", + "\t
      8. 0.119468899379301
        9. \n", + "\t
      9. 0.16706781148963
        10. \n", + "\t
      10. 0.219506471156298
        11. \n", + "\t
      11. 0.393839068858898
        12. \n", + "\t
      12. 0.155362751820171
        13. \n", + "\t
      13. 0.34823940798647
        14. \n", + "\t
      14. 0.20845100251454
        15. \n", + "\t
      15. 0.177770947499287
        16. \n", + "\t
      16. 0.261746224565941
        17. \n", + "\t
      17. 0.25447732310411
        18. \n", + "\t
      18. 0.222568711137486
        19. \n", + "\t
      19. 0.145153414102918
        20. \n", + "\t
      20. 0.178395787660543
        21. \n", + "\t
      21. 0.10912001623646
        22. \n", + "\t
      22. 0.233332273716689
        23. \n", + "\t
      23. 0.168966171025848
        24. \n", + "\t
      24. 0.323495866996437
        25. \n", + "\t
      25. 0.216144327507615
        26. \n", + "\t
      26. 0.108284177593548
        27. \n", + "\t
      27. 0.163762376758982
        28. \n", + "\t
      28. 0.198192879714397
        29. \n", + "\t
      29. 0.228246540437503
        30. \n", + "\t
      30. 0.238227843702429
        31. \n", + "\t
      31. 0.202015686186484
        32. \n", + "\t
      32. 0.200881746016562
        33. \n", + "\t
      33. 0.208117379469076
        34. \n", + "\t
      34. 0.324088352732621
        35. \n", + "\t
      35. 0.270857203955387
        36. \n", + "\t
      36. 0.289143216747189
        37. \n", + "\t
      37. 0.222475904091219
        38. \n", + "\t
      38. 0.138258080562906
        39. \n", + "\t
      39. 0.25550120679697
        40. \n", + "\t
      40. 0.205458912388679
        41. \n", + "\t
      41. 0.266830546361983
        42. \n", + "\t
      42. 0.25852621856737
        43. \n", + "\t
      43. 0.198769917485812
        44. \n", + "\t
      44. 0.224369087022089
        45. \n", + "\t
      45. 0.189203424222056
        46. \n", + "\t
      46. 0.177758986857215
        47. \n", + "\t
      47. 0.22894043600595
        48. \n", + "\t
      48. 0.187762375699227
        49. \n", + "\t
      49. 0.171535969812341
        50. \n", + "\t
      50. 0.290909470775979
        51. \n", + "\t
      51. 0.124634404277587
        52. \n", + "\t
      52. 0.146463241125253
        53. \n", + "\t
      53. 0.177689321136332
        54. \n", + "\t
      54. 0.209831646354007
        55. \n", + "\t
      55. 0.315852025896402
        56. \n", + "\t
      56. 0.349759495334504
        57. \n", + "\t
      57. 0.283930386332841
        58. \n", + "\t
      58. 0.223250082798429
        59. \n", + "\t
      59. 0.303325489947297
        60. \n", + "\t
      60. 0.185163501610894
        61. \n", + "\t
      61. 0.167706489132746
        62. \n", + "\t
      62. 0.133634811609285
        63. \n", + "\t
      63. 0.395736250084447
        64. \n", + "\t
      64. 0.266857669852584
        65. \n", + "\t
      65. 0.190836482743813
        66. \n", + "\t
      66. 0.301923022316609
        67. \n", + "\t
      67. 0.285834530928797
        68. \n", + "\t
      68. 0.158524637721881
        69. \n", + "\t
      69. 0.188886150852128
        70. \n", + "\t
      70. 0.20813415311888
        71. \n", + "\t
      71. 0.0897850636528581
        72. \n", + "\t
      72. 0.134946678236567
        73. \n", + "\t
      73. 0.184954470185265
        74. \n", + "\t
      74. 0.375015521974414
        75. \n", + "\t
      75. 0.31499338491448
        76. \n", + "\t
      76. 0.180961364879445
        77. \n", + "\t
      77. 0.248068862349169
        78. \n", + "\t
      78. 0.205966560626727
        79. \n", + "\t
      79. 0.334354573656603
        80. \n", + "\t
      80. 0.338590289618353
        81. \n", + "\t
      81. 0.316685359956728
        82. \n", + "\t
      82. 0.153283719661428
        83. \n", + "\t
      83. 0.159068237908445
        84. \n", + "\t
      84. 0.173749776992487
        85. \n", + "\t
      85. 0.33303138028297
        86. \n", + "\t
      86. 0.268809616044743
        87. \n", + "\t
      87. 0.347164484158048
        88. \n", + "\t
      88. 0.0945370587451841
        89. \n", + "\t
      89. 0.166044077624373
        90. \n", + "\t
      90. 0.142174941585274
        91. \n", + "\t
      91. 0.256258496434062
        92. \n", + "\t
      92. 0.342506091194186
        93. \n", + "\t
      93. 0.164364237711952
        94. \n", + "\t
      94. 0.19840146493648
        95. \n", + "\t
      95. 0.183844751421235
        96. \n", + "\t
      96. 0.176349485339186
        97. \n", + "\t
      97. 0.226554752972503
        98. \n", + "\t
      98. 0.183411162986521
        99. \n", + "\t
      99. 0.316082574909651
        100. \n", + "\t
      100. 0.227330194436653
        101. \n", + "
      \n", + "
      24. \n", + "\t
      24. \n", + "\t
      1. 0.246139455669671
        2. \n", + "\t
      2. 0.317349989443328
        3. \n", + "\t
      3. 0.308443748163292
        4. \n", + "\t
      4. 0.233964041012697
        5. \n", + "\t
      5. 0.294655941338073
        6. \n", + "\t
      6. 0.165955292573195
        7. \n", + "\t
      7. 0.314750654112917
        8. \n", + "\t
      8. 0.174862984693589
        9. \n", + "\t
      9. 0.164492402349141
        10. \n", + "\t
      10. 0.125154894625924
        11. \n", + "\t
      11. 0.113612330842309
        12. \n", + "\t
      12. 0.252177263819762
        13. \n", + "\t
      13. 0.0902175888665295
        14. \n", + "\t
      14. 0.201748303827671
        15. \n", + "\t
      15. 0.295058881505006
        16. \n", + "\t
      16. 0.278982172016486
        17. \n", + "\t
      17. 0.36453471544105
        18. \n", + "\t
      18. 0.156528733888306
        19. \n", + "\t
      19. 0.194741780589889
        20. \n", + "\t
      20. 0.348987632837185
        21. \n", + "\t
      21. 0.193736866666545
        22. \n", + "\t
      22. 0.26921484094665
        23. \n", + "\t
      23. 0.44908270816122
        24. \n", + "\t
      24. 0.22517079510348
        25. \n", + "\t
      25. 0.183781677408359
        26. \n", + "\t
      26. 0.373902566356893
        27. \n", + "\t
      27. 0.341900353617433
        28. \n", + "\t
      28. 0.189754540593609
        29. \n", + "\t
      29. 0.436752770236124
        30. \n", + "\t
      30. 0.146875327797104
        31. \n", + "\t
      31. 0.351657489739037
        32. \n", + "\t
      32. 0.183782746875234
        33. \n", + "\t
      33. 0.36413729694299
        34. \n", + "\t
      34. 0.251075244737473
        35. \n", + "\t
      35. 0.308108210056103
        36. \n", + "\t
      36. 0.170945567727556
        37. \n", + "\t
      37. 0.293799387615826
        38. \n", + "\t
      38. 0.221611434765456
        39. \n", + "\t
      39. 0.434696825321072
        40. \n", + "\t
      40. 0.172634958424491
        41. \n", + "\t
      41. 0.178294210647384
        42. \n", + "\t
      42. 0.172705772092658
        43. \n", + "\t
      43. 0.249477710218769
        44. \n", + "\t
      44. 0.108734710445387
        45. \n", + "\t
      45. 0.204050806450659
        46. \n", + "\t
      46. 0.352509411048064
        47. \n", + "\t
      47. 0.410010672340755
        48. \n", + "\t
      48. 0.234209219883811
        49. \n", + "\t
      49. 0.1685255248877
        50. \n", + "\t
      50. 0.278647473760469
        51. \n", + "\t
      51. 0.222748857862203
        52. \n", + "\t
      52. 0.325626596869121
        53. \n", + "\t
      53. 0.175457102187507
        54. \n", + "\t
      54. 0.25657948832113
        55. \n", + "\t
      55. 0.2618449475466
        56. \n", + "\t
      56. 0.166893838469619
        57. \n", + "\t
      57. 0.268779799108414
        58. \n", + "\t
      58. 0.173774215386422
        59. \n", + "\t
      59. 0.158828424492142
        60. \n", + "\t
      60. 0.182862224769521
        61. \n", + "\t
      61. 0.122865401786831
        62. \n", + "\t
      62. 0.162664562189831
        63. \n", + "\t
      63. 0.225135391898507
        64. \n", + "\t
      64. 0.395696539315223
        65. \n", + "\t
      65. 0.189816381708917
        66. \n", + "\t
      66. 0.36792039632632
        67. \n", + "\t
      67. 0.385331418450224
        68. \n", + "\t
      68. 0.270812812524401
        69. \n", + "\t
      69. 0.289783443051804
        70. \n", + "\t
      70. 0.259808452801012
        71. \n", + "\t
      71. 0.229773153596707
        72. \n", + "\t
      72. 0.274855542507267
        73. \n", + "\t
      73. 0.111693820603452
        74. \n", + "\t
      74. 0.194491292871649
        75. \n", + "\t
      75. 0.163950118319139
        76. \n", + "\t
      76. 0.267489736026724
        77. \n", + "\t
      77. 0.269197547256914
        78. \n", + "\t
      78. 0.371964624006019
        79. \n", + "\t
      79. 0.185784591278827
        80. \n", + "\t
      80. 0.208068205146784
        81. \n", + "\t
      81. 0.16959207515989
        82. \n", + "\t
      82. 0.376816291549706
        83. \n", + "\t
      83. 0.292734103827913
        84. \n", + "\t
      84. 0.178009774108406
        85. \n", + "\t
      85. 0.178512197278478
        86. \n", + "\t
      86. 0.236281997550545
        87. \n", + "\t
      87. 0.19315642904214
        88. \n", + "\t
      88. 0.310104022353557
        89. \n", + "\t
      89. 0.238441928290156
        90. \n", + "\t
      90. 0.348043729126349
        91. \n", + "\t
      91. 0.227951322947844
        92. \n", + "\t
      92. 0.20570879996797
        93. \n", + "\t
      93. 0.064643342273894
        94. \n", + "\t
      94. 0.258118222121776
        95. \n", + "\t
      95. 0.119990192195826
        96. \n", + "\t
      96. 0.184895399002661
        97. \n", + "\t
      97. 0.196343864705496
        98. \n", + "\t
      98. 0.199239032694413
        99. \n", + "\t
      99. 0.318728658944084
        100. \n", + "\t
      100. 0.204877523446974
        101. \n", + "
      \n", + "
      25. \n", + "\t
      25. \n", + "\t
      1. 0.247982950136022
        2. \n", + "\t
      2. 0.287435471518596
        3. \n", + "\t
      3. 0.371347419165813
        4. \n", + "\t
      4. 0.252568039794498
        5. \n", + "\t
      5. 0.245047677836292
        6. \n", + "\t
      6. 0.113511481114985
        7. \n", + "\t
      7. 0.156841333221396
        8. \n", + "\t
      8. 0.332329779507319
        9. \n", + "\t
      9. 0.0646592939480963
        10. \n", + "\t
      10. 0.287821314286557
        11. \n", + "\t
      11. 0.324597334755564
        12. \n", + "\t
      12. 0.241525184620302
        13. \n", + "\t
      13. 0.266555688251132
        14. \n", + "\t
      14. 0.314938177288254
        15. \n", + "\t
      15. 0.235305856439464
        16. \n", + "\t
      16. 0.1501851397061
        17. \n", + "\t
      17. 0.221351200983121
        18. \n", + "\t
      18. 0.227821920779064
        19. \n", + "\t
      19. 0.185217117258164
        20. \n", + "\t
      20. 0.0849998516644316
        21. \n", + "\t
      21. 0.246274340713724
        22. \n", + "\t
      22. 0.181984172146513
        23. \n", + "\t
      23. 0.149029891614856
        24. \n", + "\t
      24. 0.326251265156262
        25. \n", + "\t
      25. 0.259494446941853
        26. \n", + "\t
      26. 0.287778082821253
        27. \n", + "\t
      27. 0.383044658579449
        28. \n", + "\t
      28. 0.280886971130444
        29. \n", + "\t
      29. 0.183037608153589
        30. \n", + "\t
      30. 0.186929373343791
        31. \n", + "\t
      31. 0.322725621981846
        32. \n", + "\t
      32. 0.240711768862482
        33. \n", + "\t
      33. 0.201110147805405
        34. \n", + "\t
      34. 0.318852890314346
        35. \n", + "\t
      35. 0.311092455580314
        36. \n", + "\t
      36. 0.274870028918096
        37. \n", + "\t
      37. 0.197045354426484
        38. \n", + "\t
      38. 0.160459656389427
        39. \n", + "\t
      39. 0.328460584466288
        40. \n", + "\t
      40. 0.292701604791949
        41. \n", + "\t
      41. 0.248781362186486
        42. \n", + "\t
      42. 0.177998052376884
        43. \n", + "\t
      43. 0.348290115789825
        44. \n", + "\t
      44. 0.211969756201552
        45. \n", + "\t
      45. 0.256259119691242
        46. \n", + "\t
      46. 0.168568062557884
        47. \n", + "\t
      47. 0.194152849149563
        48. \n", + "\t
      48. 0.277618895805508
        49. \n", + "\t
      49. 0.263488679144207
        50. \n", + "\t
      50. 0.285808836232257
        51. \n", + "\t
      51. 0.306218682382178
        52. \n", + "\t
      52. 0.289773139668619
        53. \n", + "\t
      53. 0.337271425957801
        54. \n", + "\t
      54. 0.330115966370604
        55. \n", + "\t
      55. 0.302861477545083
        56. \n", + "\t
      56. 0.256138794185804
        57. \n", + "\t
      57. 0.372309326027851
        58. \n", + "\t
      58. 0.238435615553146
        59. \n", + "\t
      59. 0.31487304675569
        60. \n", + "\t
      60. 0.211374987067008
        61. \n", + "\t
      61. 0.315076581038092
        62. \n", + "\t
      62. 0.287400507704396
        63. \n", + "\t
      63. 0.269065469817915
        64. \n", + "\t
      64. 0.289849608509531
        65. \n", + "\t
      65. 0.131632416577249
        66. \n", + "\t
      66. 0.172284704666863
        67. \n", + "\t
      67. 0.238595463418972
        68. \n", + "\t
      68. 0.24689110714364
        69. \n", + "\t
      69. 0.171375803654396
        70. \n", + "\t
      70. 0.106012703064025
        71. \n", + "\t
      71. 0.35059513270989
        72. \n", + "\t
      72. 0.350586493234616
        73. \n", + "\t
      73. 0.306509826456737
        74. \n", + "\t
      74. 0.228577493604696
        75. \n", + "\t
      75. 0.182575843309583
        76. \n", + "\t
      76. 0.318246666861427
        77. \n", + "\t
      77. 0.192657152007794
        78. \n", + "\t
      78. 0.367112070547261
        79. \n", + "\t
      79. 0.354515310196493
        80. \n", + "\t
      80. 0.129486525648005
        81. \n", + "\t
      81. 0.257197689888894
        82. \n", + "\t
      82. 0.285583248342363
        83. \n", + "\t
      83. 0.23494478970356
        84. \n", + "\t
      84. 0.249457129609523
        85. \n", + "\t
      85. 0.116995826491066
        86. \n", + "\t
      86. 0.131739742024037
        87. \n", + "\t
      87. 0.200720283340661
        88. \n", + "\t
      88. 0.274459620452758
        89. \n", + "\t
      89. 0.261548775171185
        90. \n", + "\t
      90. 0.36058745440959
        91. \n", + "\t
      91. 0.266947915957835
        92. \n", + "\t
      92. 0.303610484310734
        93. \n", + "\t
      93. 0.215482189579385
        94. \n", + "\t
      94. 0.2698082047662
        95. \n", + "\t
      95. 0.37142419019318
        96. \n", + "\t
      96. 0.235605889029869
        97. \n", + "\t
      97. 0.274516171851071
        98. \n", + "\t
      98. 0.103097216287457
        99. \n", + "\t
      99. 0.377717174813333
        100. \n", + "\t
      100. 0.1294953539538
        101. \n", + "
      \n", + "
      26. \n", + "\t
      26. \n", + "\t
      1. 0.318495473283463
        2. \n", + "\t
      2. 0.254729414152323
        3. \n", + "\t
      3. 0.348379557781787
        4. \n", + "\t
      4. 0.321672521777053
        5. \n", + "\t
      5. 0.287628824445088
        6. \n", + "\t
      6. 0.321875392703414
        7. \n", + "\t
      7. 0.319355942456671
        8. \n", + "\t
      8. 0.214902214860957
        9. \n", + "\t
      9. 0.197728944995993
        10. \n", + "\t
      10. 0.176921889525785
        11. \n", + "\t
      11. 0.29579293280468
        12. \n", + "\t
      12. 0.257290018058692
        13. \n", + "\t
      13. 0.156762951957685
        14. \n", + "\t
      14. 0.236510936767152
        15. \n", + "\t
      15. 0.279477886519
        16. \n", + "\t
      16. 0.425654711306051
        17. \n", + "\t
      17. 0.257883452419009
        18. \n", + "\t
      18. 0.393789000324561
        19. \n", + "\t
      19. 0.19252127987782
        20. \n", + "\t
      20. 0.330377464613084
        21. \n", + "\t
      21. 0.227636768387111
        22. \n", + "\t
      22. 0.151256899873631
        23. \n", + "\t
      23. 0.283153404605397
        24. \n", + "\t
      24. 0.199212666358577
        25. \n", + "\t
      25. 0.335666150288514
        26. \n", + "\t
      26. 0.221425392710605
        27. \n", + "\t
      27. 0.262251189198895
        28. \n", + "\t
      28. 0.236442897706712
        29. \n", + "\t
      29. 0.197801632859849
        30. \n", + "\t
      30. 0.260377189745554
        31. \n", + "\t
      31. 0.159674119732786
        32. \n", + "\t
      32. 0.313462875433865
        33. \n", + "\t
      33. 0.221609038307514
        34. \n", + "\t
      34. 0.235853373677715
        35. \n", + "\t
      35. 0.273796926194785
        36. \n", + "\t
      36. 0.223712059800873
        37. \n", + "\t
      37. 0.196613608324518
        38. \n", + "\t
      38. 0.207618854713661
        39. \n", + "\t
      39. 0.204586100316654
        40. \n", + "\t
      40. 0.231170192686152
        41. \n", + "\t
      41. 0.321281172622842
        42. \n", + "\t
      42. 0.321902809263303
        43. \n", + "\t
      43. 0.325346156437222
        44. \n", + "\t
      44. 0.179129388253775
        45. \n", + "\t
      45. 0.354149790991642
        46. \n", + "\t
      46. 0.247955366347698
        47. \n", + "\t
      47. 0.323713100286476
        48. \n", + "\t
      48. 0.402675424191524
        49. \n", + "\t
      49. 0.125623973640505
        50. \n", + "\t
      50. 0.32710975180066
        51. \n", + "\t
      51. 0.29496649233237
        52. \n", + "\t
      52. 0.195646341092398
        53. \n", + "\t
      53. 0.241748949930607
        54. \n", + "\t
      54. 0.349739817511116
        55. \n", + "\t
      55. 0.232634704486558
        56. \n", + "\t
      56. 0.390781300841244
        57. \n", + "\t
      57. 0.296364413775562
        58. \n", + "\t
      58. 0.295884931102676
        59. \n", + "\t
      59. 0.217526673522348
        60. \n", + "\t
      60. 0.239665645133726
        61. \n", + "\t
      61. 0.289236039482095
        62. \n", + "\t
      62. 0.346862102210175
        63. \n", + "\t
      63. 0.355376533658741
        64. \n", + "\t
      64. 0.218160846435716
        65. \n", + "\t
      65. 0.162581541322819
        66. \n", + "\t
      66. 0.259796343280982
        67. \n", + "\t
      67. 0.318542126125841
        68. \n", + "\t
      68. 0.255081865330679
        69. \n", + "\t
      69. 0.398850987434892
        70. \n", + "\t
      70. 0.121665591820209
        71. \n", + "\t
      71. 0.257509306468092
        72. \n", + "\t
      72. 0.336031876806368
        73. \n", + "\t
      73. 0.324942669154003
        74. \n", + "\t
      74. 0.190218264601737
        75. \n", + "\t
      75. 0.138082715461182
        76. \n", + "\t
      76. 0.357008545896595
        77. \n", + "\t
      77. 0.228941552222093
        78. \n", + "\t
      78. 0.290773710977795
        79. \n", + "\t
      79. 0.225660417325312
        80. \n", + "\t
      80. 0.233073378459731
        81. \n", + "\t
      81. 0.402321563003857
        82. \n", + "\t
      82. 0.254999648229152
        83. \n", + "\t
      83. 0.325507268878562
        84. \n", + "\t
      84. 0.323937480230863
        85. \n", + "\t
      85. 0.257500554713098
        86. \n", + "\t
      86. 0.249021857185919
        87. \n", + "\t
      87. 0.297465114825921
        88. \n", + "\t
      88. 0.218954664802812
        89. \n", + "\t
      89. 0.312342865704377
        90. \n", + "\t
      90. 0.221630361441222
        91. \n", + "\t
      91. 0.141787930079567
        92. \n", + "\t
      92. 0.202962644168319
        93. \n", + "\t
      93. 0.236328267721281
        94. \n", + "\t
      94. 0.201259044035332
        95. \n", + "\t
      95. 0.4335900779585
        96. \n", + "\t
      96. 0.226692905687047
        97. \n", + "\t
      97. 0.197828705526731
        98. \n", + "\t
      98. 0.131413773213343
        99. \n", + "\t
      99. 0.217844229701483
        100. \n", + "\t
      100. 0.374822553375191
        101. \n", + "
      \n", + "
      27. \n", + "\t
      27. \n", + "\t
      1. 0.329616116623773
        2. \n", + "\t
      2. 0.117068783065181
        3. \n", + "\t
      3. 0.203075127338521
        4. \n", + "\t
      4. 0.25600807401635
        5. \n", + "\t
      5. 0.0806715161334806
        6. \n", + "\t
      6. 0.199228911250074
        7. \n", + "\t
      7. 0.144759187310041
        8. \n", + "\t
      8. 0.209510884546244
        9. \n", + "\t
      9. 0.330709069080826
        10. \n", + "\t
      10. 0.112630573976094
        11. \n", + "\t
      11. 0.155233118062323
        12. \n", + "\t
      12. 0.259513683855288
        13. \n", + "\t
      13. 0.270180692301478
        14. \n", + "\t
      14. 0.244029867478368
        15. \n", + "\t
      15. 0.130576077197243
        16. \n", + "\t
      16. 0.340000405638353
        17. \n", + "\t
      17. 0.184033661933631
        18. \n", + "\t
      18. 0.25580243310114
        19. \n", + "\t
      19. 0.129907938152798
        20. \n", + "\t
      20. 0.201358506025785
        21. \n", + "\t
      21. 0.179711036630119
        22. \n", + "\t
      22. 0.21790178851017
        23. \n", + "\t
      23. 0.147443552313778
        24. \n", + "\t
      24. 0.255442047223903
        25. \n", + "\t
      25. 0.301846286740816
        26. \n", + "\t
      26. 0.176056394656363
        27. \n", + "\t
      27. 0.22186249619114
        28. \n", + "\t
      28. 0.165541737216907
        29. \n", + "\t
      29. 0.285621269801194
        30. \n", + "\t
      30. 0.346140034694049
        31. \n", + "\t
      31. 0.160547987188896
        32. \n", + "\t
      32. 0.271475604196556
        33. \n", + "\t
      33. 0.198987935008389
        34. \n", + "\t
      34. 0.142101580103806
        35. \n", + "\t
      35. 0.150502431418405
        36. \n", + "\t
      36. 0.268442657655242
        37. \n", + "\t
      37. 0.332573521373666
        38. \n", + "\t
      38. 0.219321445036751
        39. \n", + "\t
      39. 0.148605103611737
        40. \n", + "\t
      40. 0.17281010839638
        41. \n", + "\t
      41. 0.291022575710233
        42. \n", + "\t
      42. 0.288445481860071
        43. \n", + "\t
      43. 0.283489390958358
        44. \n", + "\t
      44. 0.191030345860449
        45. \n", + "\t
      45. 0.152695133113266
        46. \n", + "\t
      46. 0.325124212480159
        47. \n", + "\t
      47. 0.196008023530181
        48. \n", + "\t
      48. 0.128895576210558
        49. \n", + "\t
      49. 0.149524209348097
        50. \n", + "\t
      50. 0.134417828240651
        51. \n", + "\t
      51. 0.144210772486515
        52. \n", + "\t
      52. 0.116626843698602
        53. \n", + "\t
      53. 0.203834336972237
        54. \n", + "\t
      54. 0.215942332193546
        55. \n", + "\t
      55. 0.18963573671712
        56. \n", + "\t
      56. 0.167374339795973
        57. \n", + "\t
      57. 0.261123857394218
        58. \n", + "\t
      58. 0.162210369073639
        59. \n", + "\t
      59. 0.205912638748724
        60. \n", + "\t
      60. 0.339446486550053
        61. \n", + "\t
      61. 0.232366815155138
        62. \n", + "\t
      62. 0.170754400314264
        63. \n", + "\t
      63. 0.311001384699945
        64. \n", + "\t
      64. 0.0984204760780504
        65. \n", + "\t
      65. 0.198520806556127
        66. \n", + "\t
      66. 0.186924344194118
        67. \n", + "\t
      67. 0.268063378814893
        68. \n", + "\t
      68. 0.215880045864693
        69. \n", + "\t
      69. 0.25810916726115
        70. \n", + "\t
      70. 0.173652237247292
        71. \n", + "\t
      71. 0.148633743484098
        72. \n", + "\t
      72. 0.275869428753282
        73. \n", + "\t
      73. 0.421645593598521
        74. \n", + "\t
      74. 0.251482774849486
        75. \n", + "\t
      75. 0.291848848103494
        76. \n", + "\t
      76. 0.244419927694577
        77. \n", + "\t
      77. 0.221746894831363
        78. \n", + "\t
      78. 0.14489344723202
        79. \n", + "\t
      79. 0.226638582158732
        80. \n", + "\t
      80. 0.184151773591225
        81. \n", + "\t
      81. 0.31557672168542
        82. \n", + "\t
      82. 0.202067870400985
        83. \n", + "\t
      83. 0.198732569769454
        84. \n", + "\t
      84. 0.298799677156785
        85. \n", + "\t
      85. 0.175905549355787
        86. \n", + "\t
      86. 0.312577357578055
        87. \n", + "\t
      87. 0.443380015368338
        88. \n", + "\t
      88. 0.225230195406636
        89. \n", + "\t
      89. 0.220302661675154
        90. \n", + "\t
      90. 0.154677248515167
        91. \n", + "\t
      91. 0.215249529368091
        92. \n", + "\t
      92. 0.10040467285518
        93. \n", + "\t
      93. 0.11841346398273
        94. \n", + "\t
      94. 0.287921719569429
        95. \n", + "\t
      95. 0.113901515179341
        96. \n", + "\t
      96. 0.29536946810482
        97. \n", + "\t
      97. 0.121305251054668
        98. \n", + "\t
      98. 0.286038656022657
        99. \n", + "\t
      99. 0.110431509339551
        100. \n", + "\t
      100. 0.303227642679658
        101. \n", + "
      \n", + "
      28. \n", + "\t
      28. \n", + "\t
      1. 0.361778111433324
        2. \n", + "\t
      2. 0.340738701518062
        3. \n", + "\t
      3. 0.365855933260739
        4. \n", + "\t
      4. 0.379370400055094
        5. \n", + "\t
      5. 0.237365326951922
        6. \n", + "\t
      6. 0.303748513599664
        7. \n", + "\t
      7. 0.315085995416067
        8. \n", + "\t
      8. 0.327764628041847
        9. \n", + "\t
      9. 0.247085138485316
        10. \n", + "\t
      10. 0.455468335325521
        11. \n", + "\t
      11. 0.361169183996806
        12. \n", + "\t
      12. 0.311481367380179
        13. \n", + "\t
      13. 0.438687596571522
        14. \n", + "\t
      14. 0.322121958413769
        15. \n", + "\t
      15. 0.16684328995618
        16. \n", + "\t
      16. 0.413537931982411
        17. \n", + "\t
      17. 0.251871728353327
        18. \n", + "\t
      18. 0.30332040725707
        19. \n", + "\t
      19. 0.391801183523056
        20. \n", + "\t
      20. 0.411985896282192
        21. \n", + "\t
      21. 0.399595823040025
        22. \n", + "\t
      22. 0.337568981719465
        23. \n", + "\t
      23. 0.309449888740872
        24. \n", + "\t
      24. 0.203350161983884
        25. \n", + "\t
      25. 0.292777827525075
        26. \n", + "\t
      26. 0.337342372421575
        27. \n", + "\t
      27. 0.404962590436759
        28. \n", + "\t
      28. 0.408549362894325
        29. \n", + "\t
      29. 0.411280551605334
        30. \n", + "\t
      30. 0.332724181441355
        31. \n", + "\t
      31. 0.321335071960193
        32. \n", + "\t
      32. 0.264098521404938
        33. \n", + "\t
      33. 0.23474912207049
        34. \n", + "\t
      34. 0.263309773475011
        35. \n", + "\t
      35. 0.214526813015151
        36. \n", + "\t
      36. 0.310498377744985
        37. \n", + "\t
      37. 0.368620981145155
        38. \n", + "\t
      38. 0.41393417197754
        39. \n", + "\t
      39. 0.270415121402735
        40. \n", + "\t
      40. 0.340257678677617
        41. \n", + "\t
      41. 0.22044766951144
        42. \n", + "\t
      42. 0.336398864021669
        43. \n", + "\t
      43. 0.220317487115425
        44. \n", + "\t
      44. 0.339830496742693
        45. \n", + "\t
      45. 0.143370049472706
        46. \n", + "\t
      46. 0.287337825738165
        47. \n", + "\t
      47. 0.205850452853355
        48. \n", + "\t
      48. 0.307395574975489
        49. \n", + "\t
      49. 0.374102613250771
        50. \n", + "\t
      50. 0.281390547442456
        51. \n", + "\t
      51. 0.17664770046287
        52. \n", + "\t
      52. 0.299791663980921
        53. \n", + "\t
      53. 0.461363600543787
        54. \n", + "\t
      54. 0.212313408907747
        55. \n", + "\t
      55. 0.363783398846348
        56. \n", + "\t
      56. 0.326892600510894
        57. \n", + "\t
      57. 0.116100243883801
        58. \n", + "\t
      58. 0.323728323411924
        59. \n", + "\t
      59. 0.311613596818773
        60. \n", + "\t
      60. 0.232936440131676
        61. \n", + "\t
      61. 0.302814311410355
        62. \n", + "\t
      62. 0.349177808101153
        63. \n", + "\t
      63. 0.307123072791019
        64. \n", + "\t
      64. 0.246972532605101
        65. \n", + "\t
      65. 0.285679924075504
        66. \n", + "\t
      66. 0.315505226779279
        67. \n", + "\t
      67. 0.394934321293107
        68. \n", + "\t
      68. 0.327713096690975
        69. \n", + "\t
      69. 0.186217645049991
        70. \n", + "\t
      70. 0.172500412089176
        71. \n", + "\t
      71. 0.374759599803223
        72. \n", + "\t
      72. 0.40969327139124
        73. \n", + "\t
      73. 0.327794219334655
        74. \n", + "\t
      74. 0.279815595075246
        75. \n", + "\t
      75. 0.276145426496518
        76. \n", + "\t
      76. 0.225179403568607
        77. \n", + "\t
      77. 0.506114622717113
        78. \n", + "\t
      78. 0.306071665153056
        79. \n", + "\t
      79. 0.330327441013235
        80. \n", + "\t
      80. 0.248699781126548
        81. \n", + "\t
      81. 0.331657131091756
        82. \n", + "\t
      82. 0.252961229569427
        83. \n", + "\t
      83. 0.404008289492013
        84. \n", + "\t
      84. 0.219527761715466
        85. \n", + "\t
      85. 0.359598638320558
        86. \n", + "\t
      86. 0.369591898482636
        87. \n", + "\t
      87. 0.474283386296703
        88. \n", + "\t
      88. 0.4934103947514
        89. \n", + "\t
      89. 0.324907375797342
        90. \n", + "\t
      90. 0.269109789087176
        91. \n", + "\t
      91. 0.291234706473088
        92. \n", + "\t
      92. 0.362774219365435
        93. \n", + "\t
      93. 0.504388725276164
        94. \n", + "\t
      94. 0.268051231254605
        95. \n", + "\t
      95. 0.290356332630468
        96. \n", + "\t
      96. 0.314028837881718
        97. \n", + "\t
      97. 0.320569502819976
        98. \n", + "\t
      98. 0.269433029910834
        99. \n", + "\t
      99. 0.328106729026481
        100. \n", + "\t
      100. 0.245392158378857
        101. \n", + "
      \n", + "
      29. \n", + "\t
      29. \n", + "\t
      1. 0.227010816651471
        2. \n", + "\t
      2. 0.225180542484229
        3. \n", + "\t
      3. 0.241846539706175
        4. \n", + "\t
      4. 0.359021636698072
        5. \n", + "\t
      5. 0.137186109923929
        6. \n", + "\t
      6. 0.265094585978597
        7. \n", + "\t
      7. 0.302166561170848
        8. \n", + "\t
      8. 0.25171649782527
        9. \n", + "\t
      9. 0.159820018787196
        10. \n", + "\t
      10. 0.258141424127794
        11. \n", + "\t
      11. 0.216947709136502
        12. \n", + "\t
      12. 0.133824322839075
        13. \n", + "\t
      13. 0.33853547636683
        14. \n", + "\t
      14. 0.246182575299544
        15. \n", + "\t
      15. 0.255891022299077
        16. \n", + "\t
      16. 0.0939718566081048
        17. \n", + "\t
      17. 0.306305728829847
        18. \n", + "\t
      18. 0.277018687203822
        19. \n", + "\t
      19. 0.211124416239853
        20. \n", + "\t
      20. 0.264791194870471
        21. \n", + "\t
      21. 0.201626572169147
        22. \n", + "\t
      22. 0.267228227307895
        23. \n", + "\t
      23. 0.369181515708718
        24. \n", + "\t
      24. 0.204397680496844
        25. \n", + "\t
      25. 0.195059936018851
        26. \n", + "\t
      26. 0.270643098462176
        27. \n", + "\t
      27. 0.354837301767669
        28. \n", + "\t
      28. 0.310234882474096
        29. \n", + "\t
      29. 0.253399943107951
        30. \n", + "\t
      30. 0.165530914135423
        31. \n", + "\t
      31. 0.144913047941412
        32. \n", + "\t
      32. 0.291544390149185
        33. \n", + "\t
      33. 0.204011794478219
        34. \n", + "\t
      34. 0.248710347042426
        35. \n", + "\t
      35. 0.250071543310435
        36. \n", + "\t
      36. 0.16285693397527
        37. \n", + "\t
      37. 0.295656913604135
        38. \n", + "\t
      38. 0.0461215204752213
        39. \n", + "\t
      39. 0.106302906838321
        40. \n", + "\t
      40. 0.0927762555522871
        41. \n", + "\t
      41. 0.189420009987606
        42. \n", + "\t
      42. 0.131610167064502
        43. \n", + "\t
      43. 0.198119530302426
        44. \n", + "\t
      44. 0.202141493719666
        45. \n", + "\t
      45. 0.252525805763644
        46. \n", + "\t
      46. 0.257917558078907
        47. \n", + "\t
      47. 0.202670226263694
        48. \n", + "\t
      48. 0.192382584954074
        49. \n", + "\t
      49. 0.160010132428017
        50. \n", + "\t
      50. 0.236809785430186
        51. \n", + "\t
      51. 0.136016910889976
        52. \n", + "\t
      52. 0.232505643951256
        53. \n", + "\t
      53. 0.151166490119631
        54. \n", + "\t
      54. 0.275419705518375
        55. \n", + "\t
      55. 0.319878112979854
        56. \n", + "\t
      56. 0.198633709795727
        57. \n", + "\t
      57. 0.351319172140704
        58. \n", + "\t
      58. 0.121549367986761
        59. \n", + "\t
      59. 0.195113002117411
        60. \n", + "\t
      60. 0.27363418681508
        61. \n", + "\t
      61. 0.180572894192132
        62. \n", + "\t
      62. 0.287914719651206
        63. \n", + "\t
      63. 0.206804632497127
        64. \n", + "\t
      64. 0.338537339268499
        65. \n", + "\t
      65. 0.267496161407832
        66. \n", + "\t
      66. 0.21151353405942
        67. \n", + "\t
      67. 0.348117567024643
        68. \n", + "\t
      68. 0.281898101414488
        69. \n", + "\t
      69. 0.359604739884894
        70. \n", + "\t
      70. 0.30447554038936
        71. \n", + "\t
      71. 0.226530522479008
        72. \n", + "\t
      72. 0.150997579291561
        73. \n", + "\t
      73. 0.248558758790965
        74. \n", + "\t
      74. 0.195860252532986
        75. \n", + "\t
      75. 0.334948272572877
        76. \n", + "\t
      76. 0.280393951323874
        77. \n", + "\t
      77. 0.208521990094845
        78. \n", + "\t
      78. 0.222035615514236
        79. \n", + "\t
      79. 0.298377768615282
        80. \n", + "\t
      80. 0.281271111882239
        81. \n", + "\t
      81. 0.125186085878393
        82. \n", + "\t
      82. 0.221555145937755
        83. \n", + "\t
      83. 0.108051671123638
        84. \n", + "\t
      84. 0.157537926789548
        85. \n", + "\t
      85. 0.233602946509492
        86. \n", + "\t
      86. 0.115147836135133
        87. \n", + "\t
      87. 0.224008873475403
        88. \n", + "\t
      88. 0.18595854968678
        89. \n", + "\t
      89. 0.400434064011071
        90. \n", + "\t
      90. 0.214903635664937
        91. \n", + "\t
      91. 0.291186397572837
        92. \n", + "\t
      92. 0.226632555488428
        93. \n", + "\t
      93. 0.23534677475111
        94. \n", + "\t
      94. 0.205453749371486
        95. \n", + "\t
      95. 0.141979701468716
        96. \n", + "\t
      96. 0.258266470586608
        97. \n", + "\t
      97. 0.177028108948053
        98. \n", + "\t
      98. 0.411955822147367
        99. \n", + "\t
      99. 0.154984435441496
        100. \n", + "\t
      100. 0.246248047020582
        101. \n", + "
      \n", + "
      30. \n", + "\t
      30. \n", + "\t
      1. 0.270930108147223
        2. \n", + "\t
      2. 0.177876766328158
        3. \n", + "\t
      3. 0.326450766464154
        4. \n", + "\t
      4. 0.311502662205435
        5. \n", + "\t
      5. 0.225691622771454
        6. \n", + "\t
      6. 0.252421874803098
        7. \n", + "\t
      7. 0.305674432307848
        8. \n", + "\t
      8. 0.29268862373965
        9. \n", + "\t
      9. 0.194925046064698
        10. \n", + "\t
      10. 0.310059958814278
        11. \n", + "\t
      11. 0.22464101547952
        12. \n", + "\t
      12. 0.325501689763591
        13. \n", + "\t
      13. 0.289158300035728
        14. \n", + "\t
      14. 0.471148425971653
        15. \n", + "\t
      15. 0.125100321409708
        16. \n", + "\t
      16. 0.305765636656787
        17. \n", + "\t
      17. 0.310819911751819
        18. \n", + "\t
      18. 0.332645443578637
        19. \n", + "\t
      19. 0.238808540510156
        20. \n", + "\t
      20. 0.336320211174754
        21. \n", + "\t
      21. 0.328517322617188
        22. \n", + "\t
      22. 0.247330496815013
        23. \n", + "\t
      23. 0.179357648935078
        24. \n", + "\t
      24. 0.28135674436891
        25. \n", + "\t
      25. 0.37302197068191
        26. \n", + "\t
      26. 0.352168551658148
        27. \n", + "\t
      27. 0.223018214112201
        28. \n", + "\t
      28. 0.397644197105878
        29. \n", + "\t
      29. 0.235761430176604
        30. \n", + "\t
      30. 0.192750991075275
        31. \n", + "\t
      31. 0.341109178084237
        32. \n", + "\t
      32. 0.416708991642802
        33. \n", + "\t
      33. 0.288104658701457
        34. \n", + "\t
      34. 0.267173676452772
        35. \n", + "\t
      35. 0.22904998741081
        36. \n", + "\t
      36. 0.314887650299678
        37. \n", + "\t
      37. 0.323535399959081
        38. \n", + "\t
      38. 0.131428406831907
        39. \n", + "\t
      39. 0.304437377625684
        40. \n", + "\t
      40. 0.298509322583498
        41. \n", + "\t
      41. 0.249828878045833
        42. \n", + "\t
      42. 0.241536135602651
        43. \n", + "\t
      43. 0.276700972732359
        44. \n", + "\t
      44. 0.291509525092864
        45. \n", + "\t
      45. 0.370742030514011
        46. \n", + "\t
      46. 0.243534310944817
        47. \n", + "\t
      47. 0.461846460009986
        48. \n", + "\t
      48. 0.302994529746564
        49. \n", + "\t
      49. 0.267367793777981
        50. \n", + "\t
      50. 0.279833907422949
        51. \n", + "\t
      51. 0.197912115352514
        52. \n", + "\t
      52. 0.318842824293737
        53. \n", + "\t
      53. 0.213496506566727
        54. \n", + "\t
      54. 0.34343922230386
        55. \n", + "\t
      55. 0.341171059824762
        56. \n", + "\t
      56. 0.266282413258355
        57. \n", + "\t
      57. 0.274222996643047
        58. \n", + "\t
      58. 0.151618643768171
        59. \n", + "\t
      59. 0.251412304116758
        60. \n", + "\t
      60. 0.292404259117342
        61. \n", + "\t
      61. 0.209982982648606
        62. \n", + "\t
      62. 0.175851735907231
        63. \n", + "\t
      63. 0.217850272801846
        64. \n", + "\t
      64. 0.182113702763952
        65. \n", + "\t
      65. 0.395686679672485
        66. \n", + "\t
      66. 0.265379356460831
        67. \n", + "\t
      67. 0.17187858928874
        68. \n", + "\t
      68. 0.281797427491004
        69. \n", + "\t
      69. 0.395880109031718
        70. \n", + "\t
      70. 0.412830360402528
        71. \n", + "\t
      71. 0.200011199953221
        72. \n", + "\t
      72. 0.190613258167763
        73. \n", + "\t
      73. 0.267300807379002
        74. \n", + "\t
      74. 0.235473580998451
        75. \n", + "\t
      75. 0.268322384453076
        76. \n", + "\t
      76. 0.198496320252163
        77. \n", + "\t
      77. 0.344005082096232
        78. \n", + "\t
      78. 0.26888938011593
        79. \n", + "\t
      79. 0.323646552371372
        80. \n", + "\t
      80. 0.331163309910553
        81. \n", + "\t
      81. 0.401709295564534
        82. \n", + "\t
      82. 0.331604475559368
        83. \n", + "\t
      83. 0.245440737550696
        84. \n", + "\t
      84. 0.337254238330085
        85. \n", + "\t
      85. 0.194675009760544
        86. \n", + "\t
      86. 0.207529648871509
        87. \n", + "\t
      87. 0.184599653441381
        88. \n", + "\t
      88. 0.309942208946244
        89. \n", + "\t
      89. 0.317343574029434
        90. \n", + "\t
      90. 0.368928329318196
        91. \n", + "\t
      91. 0.165182103522582
        92. \n", + "\t
      92. 0.196011747662001
        93. \n", + "\t
      93. 0.247511801080934
        94. \n", + "\t
      94. 0.272576156522699
        95. \n", + "\t
      95. 0.28068322609159
        96. \n", + "\t
      96. 0.392473077483803
        97. \n", + "\t
      97. 0.375649684344052
        98. \n", + "\t
      98. 0.226816957958147
        99. \n", + "\t
      99. 0.132110264803671
        100. \n", + "\t
      100. 0.290299315051289
        101. \n", + "
      \n", + "
      31. \n", + "\t
      31. \n", + "\t
      1. 0.369357108454856
        2. \n", + "\t
      2. 0.328166263685525
        3. \n", + "\t
      3. 0.214391088860316
        4. \n", + "\t
      4. 0.301144268664908
        5. \n", + "\t
      5. 0.222932107097144
        6. \n", + "\t
      6. 0.25326895978093
        7. \n", + "\t
      7. 0.290049679227366
        8. \n", + "\t
      8. 0.284519587137041
        9. \n", + "\t
      9. 0.238850232444877
        10. \n", + "\t
      10. 0.183815803579899
        11. \n", + "\t
      11. 0.384868932444073
        12. \n", + "\t
      12. 0.314174727497634
        13. \n", + "\t
      13. 0.274120103460756
        14. \n", + "\t
      14. 0.248127394259982
        15. \n", + "\t
      15. 0.28937366932916
        16. \n", + "\t
      16. 0.3881922310188
        17. \n", + "\t
      17. 0.241184061471425
        18. \n", + "\t
      18. 0.227830186982434
        19. \n", + "\t
      19. 0.323130479239858
        20. \n", + "\t
      20. 0.285531429405514
        21. \n", + "\t
      21. 0.258285497703365
        22. \n", + "\t
      22. 0.207033239803604
        23. \n", + "\t
      23. 0.247013568665589
        24. \n", + "\t
      24. 0.275962669975821
        25. \n", + "\t
      25. 0.210612283864078
        26. \n", + "\t
      26. 0.320965582346712
        27. \n", + "\t
      27. 0.3079899087939
        28. \n", + "\t
      28. 0.35311217182634
        29. \n", + "\t
      29. 0.336714055929801
        30. \n", + "\t
      30. 0.215606415899826
        31. \n", + "\t
      31. 0.141032512407652
        32. \n", + "\t
      32. 0.292819616476268
        33. \n", + "\t
      33. 0.369520527374547
        34. \n", + "\t
      34. 0.0559939508022221
        35. \n", + "\t
      35. 0.230778717879463
        36. \n", + "\t
      36. 0.229153254965806
        37. \n", + "\t
      37. 0.385111297803213
        38. \n", + "\t
      38. 0.270982860968593
        39. \n", + "\t
      39. 0.321174800332616
        40. \n", + "\t
      40. 0.289840617893645
        41. \n", + "\t
      41. 0.260635495773929
        42. \n", + "\t
      42. 0.278719559793315
        43. \n", + "\t
      43. 0.167885172394095
        44. \n", + "\t
      44. 0.334464782975352
        45. \n", + "\t
      45. 0.247456964581351
        46. \n", + "\t
      46. 0.181321486801134
        47. \n", + "\t
      47. 0.166837046115234
        48. \n", + "\t
      48. 0.328621367378435
        49. \n", + "\t
      49. 0.187449074086088
        50. \n", + "\t
      50. 0.325105212479542
        51. \n", + "\t
      51. 0.183365201169757
        52. \n", + "\t
      52. 0.319494330382975
        53. \n", + "\t
      53. 0.198864460019807
        54. \n", + "\t
      54. 0.289307784140216
        55. \n", + "\t
      55. 0.277867709733562
        56. \n", + "\t
      56. 0.29187914227493
        57. \n", + "\t
      57. 0.225330707437201
        58. \n", + "\t
      58. 0.268742763387559
        59. \n", + "\t
      59. 0.0954081539518639
        60. \n", + "\t
      60. 0.120900599886892
        61. \n", + "\t
      61. 0.197052279536593
        62. \n", + "\t
      62. 0.2206081677614
        63. \n", + "\t
      63. 0.137663331161831
        64. \n", + "\t
      64. 0.193625815387993
        65. \n", + "\t
      65. 0.193074697568478
        66. \n", + "\t
      66. 0.20944706776631
        67. \n", + "\t
      67. 0.255524848531044
        68. \n", + "\t
      68. 0.209487047202779
        69. \n", + "\t
      69. 0.256332343770929
        70. \n", + "\t
      70. 0.33199074300436
        71. \n", + "\t
      71. 0.192009080479191
        72. \n", + "\t
      72. 0.356301222216686
        73. \n", + "\t
      73. 0.154810890321156
        74. \n", + "\t
      74. 0.340930068723255
        75. \n", + "\t
      75. 0.283516092975303
        76. \n", + "\t
      76. 0.330801055056987
        77. \n", + "\t
      77. 0.349666634609693
        78. \n", + "\t
      78. 0.281932948467863
        79. \n", + "\t
      79. 0.372935977800923
        80. \n", + "\t
      80. 0.0486885719666052
        81. \n", + "\t
      81. 0.228423236526781
        82. \n", + "\t
      82. 0.37483219427622
        83. \n", + "\t
      83. 0.316588387115947
        84. \n", + "\t
      84. 0.365053524794327
        85. \n", + "\t
      85. 0.224134357795673
        86. \n", + "\t
      86. 0.305753444597979
        87. \n", + "\t
      87. 0.123731404639426
        88. \n", + "\t
      88. 0.238234676489096
        89. \n", + "\t
      89. 0.228508952025722
        90. \n", + "\t
      90. 0.357434060317197
        91. \n", + "\t
      91. 0.287683947814143
        92. \n", + "\t
      92. 0.238086501606725
        93. \n", + "\t
      93. 0.295632618663379
        94. \n", + "\t
      94. 0.194923125195972
        95. \n", + "\t
      95. 0.242911648027763
        96. \n", + "\t
      96. 0.261548855670197
        97. \n", + "\t
      97. 0.290427227682332
        98. \n", + "\t
      98. 0.210397691071143
        99. \n", + "\t
      99. 0.275151778272603
        100. \n", + "\t
      100. 0.145035330619346
        101. \n", + "
      \n", + "
      32. \n", + "\t
      32. \n", + "\t
      1. 0.278706712720645
        2. \n", + "\t
      2. 0.384600866871139
        3. \n", + "\t
      3. 0.337742642900078
        4. \n", + "\t
      4. 0.290807295618172
        5. \n", + "\t
      5. 0.372465618625555
        6. \n", + "\t
      6. 0.170638587242611
        7. \n", + "\t
      7. 0.270501409815486
        8. \n", + "\t
      8. 0.272613800134034
        9. \n", + "\t
      9. 0.269818707171584
        10. \n", + "\t
      10. 0.227194820777991
        11. \n", + "\t
      11. 0.253955631457548
        12. \n", + "\t
      12. 0.182228177452946
        13. \n", + "\t
      13. 0.284797948877348
        14. \n", + "\t
      14. 0.190049206154975
        15. \n", + "\t
      15. 0.204252349369701
        16. \n", + "\t
      16. 0.191703871651745
        17. \n", + "\t
      17. 0.320345993961341
        18. \n", + "\t
      18. 0.225484779313903
        19. \n", + "\t
      19. 0.37652643184257
        20. \n", + "\t
      20. 0.150176701891321
        21. \n", + "\t
      21. 0.306026928538035
        22. \n", + "\t
      22. 0.20180752654721
        23. \n", + "\t
      23. 0.233449847274726
        24. \n", + "\t
      24. 0.432293874748755
        25. \n", + "\t
      25. 0.201273078031977
        26. \n", + "\t
      26. 0.377410127559696
        27. \n", + "\t
      27. 0.308073284704806
        28. \n", + "\t
      28. 0.308219354858608
        29. \n", + "\t
      29. 0.371124418026534
        30. \n", + "\t
      30. 0.0989645634302895
        31. \n", + "\t
      31. 0.0582630881985472
        32. \n", + "\t
      32. 0.317414181903086
        33. \n", + "\t
      33. 0.129516807441889
        34. \n", + "\t
      34. 0.392721215327409
        35. \n", + "\t
      35. 0.293432722737836
        36. \n", + "\t
      36. 0.390849766181798
        37. \n", + "\t
      37. 0.23813374997834
        38. \n", + "\t
      38. 0.11998436882062
        39. \n", + "\t
      39. 0.171058274000298
        40. \n", + "\t
      40. 0.150803676106612
        41. \n", + "\t
      41. 0.297424377479252
        42. \n", + "\t
      42. 0.320942430042719
        43. \n", + "\t
      43. 0.296836180461907
        44. \n", + "\t
      44. 0.224570798592253
        45. \n", + "\t
      45. 0.158297624284245
        46. \n", + "\t
      46. 0.267667974077646
        47. \n", + "\t
      47. 0.290740396326794
        48. \n", + "\t
      48. 0.273174685316683
        49. \n", + "\t
      49. 0.348959013638554
        50. \n", + "\t
      50. 0.193750213508765
        51. \n", + "\t
      51. 0.292701479860511
        52. \n", + "\t
      52. 0.353773976491022
        53. \n", + "\t
      53. 0.346778708846967
        54. \n", + "\t
      54. 0.179415764492574
        55. \n", + "\t
      55. 0.246557868177932
        56. \n", + "\t
      56. 0.38511843542881
        57. \n", + "\t
      57. 0.19464873554287
        58. \n", + "\t
      58. 0.306492370995495
        59. \n", + "\t
      59. 0.182982064451087
        60. \n", + "\t
      60. 0.29873641699558
        61. \n", + "\t
      61. 0.151585605206994
        62. \n", + "\t
      62. 0.276077845294268
        63. \n", + "\t
      63. 0.235888543028966
        64. \n", + "\t
      64. 0.308099279596707
        65. \n", + "\t
      65. 0.154252038384723
        66. \n", + "\t
      66. 0.298819713494792
        67. \n", + "\t
      67. 0.21984938539789
        68. \n", + "\t
      68. 0.257429937898697
        69. \n", + "\t
      69. 0.363207467587967
        70. \n", + "\t
      70. 0.200074968976777
        71. \n", + "\t
      71. 0.313623465142025
        72. \n", + "\t
      72. 0.390359149735605
        73. \n", + "\t
      73. 0.459082303918814
        74. \n", + "\t
      74. 0.32682094846066
        75. \n", + "\t
      75. 0.27396857465865
        76. \n", + "\t
      76. 0.309877071253737
        77. \n", + "\t
      77. 0.340415388705651
        78. \n", + "\t
      78. 0.230831956843418
        79. \n", + "\t
      79. 0.309633764937289
        80. \n", + "\t
      80. 0.111071717402833
        81. \n", + "\t
      81. 0.131723914946417
        82. \n", + "\t
      82. 0.0898874272400567
        83. \n", + "\t
      83. 0.265605997504588
        84. \n", + "\t
      84. 0.277477457167287
        85. \n", + "\t
      85. 0.250953152282822
        86. \n", + "\t
      86. 0.31049041500988
        87. \n", + "\t
      87. 0.180942711719931
        88. \n", + "\t
      88. 0.261993956853093
        89. \n", + "\t
      89. 0.182330648379544
        90. \n", + "\t
      90. 0.243863243512054
        91. \n", + "\t
      91. 0.284271868906468
        92. \n", + "\t
      92. 0.180856861632697
        93. \n", + "\t
      93. 0.33767499125609
        94. \n", + "\t
      94. 0.42328087346633
        95. \n", + "\t
      95. 0.38274110223732
        96. \n", + "\t
      96. 0.179116710486157
        97. \n", + "\t
      97. 0.371570470191736
        98. \n", + "\t
      98. 0.18034300801457
        99. \n", + "\t
      99. 0.265090237352226
        100. \n", + "\t
      100. 0.346718715733203
        101. \n", + "
      \n", + "
      33. \n", + "\t
      33. \n", + "\t
      1. 0.221699957315788
        2. \n", + "\t
      2. 0.423065127386284
        3. \n", + "\t
      3. 0.196877074801112
        4. \n", + "\t
      4. 0.396385197763442
        5. \n", + "\t
      5. 0.248493561475673
        6. \n", + "\t
      6. 0.418341797058424
        7. \n", + "\t
      7. 0.424855151958626
        8. \n", + "\t
      8. 0.290552286481526
        9. \n", + "\t
      9. 0.40361508752213
        10. \n", + "\t
      10. 0.168667787150047
        11. \n", + "\t
      11. 0.453369836788275
        12. \n", + "\t
      12. 0.325055052455796
        13. \n", + "\t
      13. 0.218121196870763
        14. \n", + "\t
      14. 0.375807506683099
        15. \n", + "\t
      15. 0.219213005593582
        16. \n", + "\t
      16. 0.201598880798623
        17. \n", + "\t
      17. 0.221802038829747
        18. \n", + "\t
      18. 0.231113975390313
        19. \n", + "\t
      19. 0.320521308685927
        20. \n", + "\t
      20. 0.368850526093681
        21. \n", + "\t
      21. 0.242800814462639
        22. \n", + "\t
      22. 0.129896533845109
        23. \n", + "\t
      23. 0.283921428608339
        24. \n", + "\t
      24. 0.153885077567327
        25. \n", + "\t
      25. 0.203131082445161
        26. \n", + "\t
      26. 0.293571640004675
        27. \n", + "\t
      27. 0.170003025170717
        28. \n", + "\t
      28. 0.314045233344186
        29. \n", + "\t
      29. 0.296751799372516
        30. \n", + "\t
      30. 0.131424981976793
        31. \n", + "\t
      31. 0.281532823672439
        32. \n", + "\t
      32. 0.27836914656114
        33. \n", + "\t
      33. 0.155223063819847
        34. \n", + "\t
      34. 0.25000995263276
        35. \n", + "\t
      35. 0.345459234809627
        36. \n", + "\t
      36. 0.133857449795793
        37. \n", + "\t
      37. 0.143042437116153
        38. \n", + "\t
      38. 0.250499295070674
        39. \n", + "\t
      39. 0.301415401086951
        40. \n", + "\t
      40. 0.197290038352916
        41. \n", + "\t
      41. 0.363650474855073
        42. \n", + "\t
      42. 0.220560787756119
        43. \n", + "\t
      43. 0.235623125122992
        44. \n", + "\t
      44. 0.265822425474461
        45. \n", + "\t
      45. 0.340128266376588
        46. \n", + "\t
      46. 0.294344859514574
        47. \n", + "\t
      47. 0.222011396348681
        48. \n", + "\t
      48. 0.399122263690786
        49. \n", + "\t
      49. 0.221377443052187
        50. \n", + "\t
      50. 0.377014655068221
        51. \n", + "\t
      51. 0.212921792006236
        52. \n", + "\t
      52. 0.161867544053993
        53. \n", + "\t
      53. 0.123757905608666
        54. \n", + "\t
      54. 0.188649512282763
        55. \n", + "\t
      55. 0.226158905371819
        56. \n", + "\t
      56. 0.338843804194546
        57. \n", + "\t
      57. 0.304896479778208
        58. \n", + "\t
      58. 0.372652814695983
        59. \n", + "\t
      59. 0.303580469224839
        60. \n", + "\t
      60. 0.161284234294006
        61. \n", + "\t
      61. 0.305450316095443
        62. \n", + "\t
      62. 0.300105162498339
        63. \n", + "\t
      63. 0.208015319889821
        64. \n", + "\t
      64. 0.165335812872515
        65. \n", + "\t
      65. 0.192052885145463
        66. \n", + "\t
      66. 0.326821306941101
        67. \n", + "\t
      67. 0.353386028779029
        68. \n", + "\t
      68. 0.169072910067834
        69. \n", + "\t
      69. 0.258915012972416
        70. \n", + "\t
      70. 0.0993057830254
        71. \n", + "\t
      71. 0.298960476170276
        72. \n", + "\t
      72. 0.268006745791431
        73. \n", + "\t
      73. 0.192738852075723
        74. \n", + "\t
      74. 0.159246263325045
        75. \n", + "\t
      75. 0.286433371355897
        76. \n", + "\t
      76. 0.355620872250923
        77. \n", + "\t
      77. 0.177291956656387
        78. \n", + "\t
      78. 0.298436195564161
        79. \n", + "\t
      79. 0.181982933869122
        80. \n", + "\t
      80. 0.23021803974458
        81. \n", + "\t
      81. 0.145022921104437
        82. \n", + "\t
      82. 0.239598854232446
        83. \n", + "\t
      83. 0.360757679753909
        84. \n", + "\t
      84. 0.369291140456602
        85. \n", + "\t
      85. 0.334431668960433
        86. \n", + "\t
      86. 0.222888109633512
        87. \n", + "\t
      87. 0.192516870233395
        88. \n", + "\t
      88. 0.292925765068574
        89. \n", + "\t
      89. 0.383111328815358
        90. \n", + "\t
      90. 0.224258340602378
        91. \n", + "\t
      91. 0.177015479472131
        92. \n", + "\t
      92. 0.131795535415462
        93. \n", + "\t
      93. 0.230321184385022
        94. \n", + "\t
      94. 0.23230668958472
        95. \n", + "\t
      95. 0.216527808561034
        96. \n", + "\t
      96. 0.258893807567913
        97. \n", + "\t
      97. 0.32638304470148
        98. \n", + "\t
      98. 0.092887552734438
        99. \n", + "\t
      99. 0.327389740402328
        100. \n", + "\t
      100. 0.247859585169847
        101. \n", + "
      \n", + "
      34. \n", + "\t
      34. \n", + "\t
      1. 0.365825053722338
        2. \n", + "\t
      2. 0.26295682162493
        3. \n", + "\t
      3. 0.310003283322433
        4. \n", + "\t
      4. 0.269338589631854
        5. \n", + "\t
      5. 0.237912111818124
        6. \n", + "\t
      6. 0.262071274733131
        7. \n", + "\t
      7. 0.226222542141413
        8. \n", + "\t
      8. 0.0510238281657285
        9. \n", + "\t
      9. 0.140887915957242
        10. \n", + "\t
      10. 0.400451281754872
        11. \n", + "\t
      11. 0.237775814904946
        12. \n", + "\t
      12. 0.237145824176368
        13. \n", + "\t
      13. 0.157518671275769
        14. \n", + "\t
      14. 0.102443280510432
        15. \n", + "\t
      15. 0.135332881424286
        16. \n", + "\t
      16. 0.287553756452332
        17. \n", + "\t
      17. 0.310064878395714
        18. \n", + "\t
      18. 0.201668375572443
        19. \n", + "\t
      19. 0.285206952130733
        20. \n", + "\t
      20. 0.160042105853873
        21. \n", + "\t
      21. 0.230354672144928
        22. \n", + "\t
      22. 0.267931491356813
        23. \n", + "\t
      23. 0.289042239462575
        24. \n", + "\t
      24. 0.393484672151212
        25. \n", + "\t
      25. 0.169524480268662
        26. \n", + "\t
      26. 0.363604005357027
        27. \n", + "\t
      27. 0.221528912097857
        28. \n", + "\t
      28. 0.212598147074017
        29. \n", + "\t
      29. 0.233873702175649
        30. \n", + "\t
      30. 0.384151445650416
        31. \n", + "\t
      31. 0.285218881616178
        32. \n", + "\t
      32. 0.45860937225883
        33. \n", + "\t
      33. 0.159649797003364
        34. \n", + "\t
      34. 0.282752521265243
        35. \n", + "\t
      35. 0.295911987099208
        36. \n", + "\t
      36. 0.089156559484515
        37. \n", + "\t
      37. 0.325918435965248
        38. \n", + "\t
      38. 0.320409854624012
        39. \n", + "\t
      39. 0.288660976774868
        40. \n", + "\t
      40. 0.0967862607893799
        41. \n", + "\t
      41. 0.337837558889387
        42. \n", + "\t
      42. 0.265705936528199
        43. \n", + "\t
      43. 0.23371278365215
        44. \n", + "\t
      44. 0.329467248557248
        45. \n", + "\t
      45. 0.300035147783219
        46. \n", + "\t
      46. 0.297905835242414
        47. \n", + "\t
      47. 0.252000645848901
        48. \n", + "\t
      48. 0.141269461035904
        49. \n", + "\t
      49. 0.187062379989642
        50. \n", + "\t
      50. 0.162753568279125
        51. \n", + "\t
      51. 0.286301633980821
        52. \n", + "\t
      52. 0.319984642581745
        53. \n", + "\t
      53. 0.370221798559086
        54. \n", + "\t
      54. 0.203935150276574
        55. \n", + "\t
      55. 0.3096046050697
        56. \n", + "\t
      56. 0.286657517826125
        57. \n", + "\t
      57. 0.301322455174785
        58. \n", + "\t
      58. 0.247114324319804
        59. \n", + "\t
      59. 0.209971942835129
        60. \n", + "\t
      60. 0.246542866219817
        61. \n", + "\t
      61. 0.3003428587605
        62. \n", + "\t
      62. 0.145420369864297
        63. \n", + "\t
      63. 0.335923860996031
        64. \n", + "\t
      64. 0.129008588437079
        65. \n", + "\t
      65. 0.251907568698243
        66. \n", + "\t
      66. 0.324353049942839
        67. \n", + "\t
      67. 0.36255193735929
        68. \n", + "\t
      68. 0.162636528677274
        69. \n", + "\t
      69. 0.320581298886634
        70. \n", + "\t
      70. 0.232065019516894
        71. \n", + "\t
      71. 0.178089487136784
        72. \n", + "\t
      72. 0.226979311955924
        73. \n", + "\t
      73. 0.3019577191104
        74. \n", + "\t
      74. 0.318772877749002
        75. \n", + "\t
      75. 0.209038328092165
        76. \n", + "\t
      76. 0.189719182883667
        77. \n", + "\t
      77. 0.418103532301014
        78. \n", + "\t
      78. 0.329420029230713
        79. \n", + "\t
      79. 0.327263530896291
        80. \n", + "\t
      80. 0.278969506304462
        81. \n", + "\t
      81. 0.257950869443331
        82. \n", + "\t
      82. 0.271706930853523
        83. \n", + "\t
      83. 0.302750745530096
        84. \n", + "\t
      84. 0.189097553686403
        85. \n", + "\t
      85. 0.402613420687303
        86. \n", + "\t
      86. 0.212168368165131
        87. \n", + "\t
      87. 0.273899537948651
        88. \n", + "\t
      88. 0.250898325278128
        89. \n", + "\t
      89. 0.374441448399685
        90. \n", + "\t
      90. 0.300972091610197
        91. \n", + "\t
      91. 0.278778855047844
        92. \n", + "\t
      92. 0.198286683255428
        93. \n", + "\t
      93. 0.405708310632579
        94. \n", + "\t
      94. 0.260394032435087
        95. \n", + "\t
      95. 0.306397883563773
        96. \n", + "\t
      96. 0.255041044070812
        97. \n", + "\t
      97. 0.263248664967047
        98. \n", + "\t
      98. 0.32498711522619
        99. \n", + "\t
      99. 0.308952222895191
        100. \n", + "\t
      100. 0.0920841301623038
        101. \n", + "
      \n", + "
      35. \n", + "\t
      35. \n", + "\t
      1. 0.190411070725761
        2. \n", + "\t
      2. 0.324256586736064
        3. \n", + "\t
      3. 0.373703160664028
        4. \n", + "\t
      4. 0.291402392344187
        5. \n", + "\t
      5. 0.312593271940921
        6. \n", + "\t
      6. 0.243896532266048
        7. \n", + "\t
      7. 0.351022733246559
        8. \n", + "\t
      8. 0.411970600465036
        9. \n", + "\t
      9. 0.339717118585915
        10. \n", + "\t
      10. 0.18436954592643
        11. \n", + "\t
      11. 0.324726883828074
        12. \n", + "\t
      12. 0.273334167739064
        13. \n", + "\t
      13. 0.355069693724124
        14. \n", + "\t
      14. 0.375834826237086
        15. \n", + "\t
      15. 0.365256546872139
        16. \n", + "\t
      16. 0.342249571020619
        17. \n", + "\t
      17. 0.433466734922885
        18. \n", + "\t
      18. 0.344887617970226
        19. \n", + "\t
      19. 0.316206868464259
        20. \n", + "\t
      20. 0.354097013916149
        21. \n", + "\t
      21. 0.365593111027422
        22. \n", + "\t
      22. 0.268207969352331
        23. \n", + "\t
      23. 0.417773072544701
        24. \n", + "\t
      24. 0.160563597341517
        25. \n", + "\t
      25. 0.411803761854413
        26. \n", + "\t
      26. 0.290421531384728
        27. \n", + "\t
      27. 0.342361354908008
        28. \n", + "\t
      28. 0.302477730574999
        29. \n", + "\t
      29. 0.363487497177117
        30. \n", + "\t
      30. 0.397599095846694
        31. \n", + "\t
      31. 0.204363160197464
        32. \n", + "\t
      32. 0.3583596942615
        33. \n", + "\t
      33. 0.298292060499694
        34. \n", + "\t
      34. 0.283340472561902
        35. \n", + "\t
      35. 0.466501722831093
        36. \n", + "\t
      36. 0.353397532485648
        37. \n", + "\t
      37. 0.225136397153026
        38. \n", + "\t
      38. 0.288576538851859
        39. \n", + "\t
      39. 0.406063092055211
        40. \n", + "\t
      40. 0.249832291068209
        41. \n", + "\t
      41. 0.137097415404335
        42. \n", + "\t
      42. 0.319047627038022
        43. \n", + "\t
      43. 0.197006914403467
        44. \n", + "\t
      44. 0.159849547126868
        45. \n", + "\t
      45. 0.35994074473824
        46. \n", + "\t
      46. 0.30653989364027
        47. \n", + "\t
      47. 0.214906184207884
        48. \n", + "\t
      48. 0.235577779849441
        49. \n", + "\t
      49. 0.295845103946246
        50. \n", + "\t
      50. 0.137375341236812
        51. \n", + "\t
      51. 0.459465159817847
        52. \n", + "\t
      52. 0.288578219926137
        53. \n", + "\t
      53. 0.310568344517395
        54. \n", + "\t
      54. 0.242224081932779
        55. \n", + "\t
      55. 0.276403072851138
        56. \n", + "\t
      56. 0.249914241448902
        57. \n", + "\t
      57. 0.130188656318996
        58. \n", + "\t
      58. 0.196061582983647
        59. \n", + "\t
      59. 0.360923152091062
        60. \n", + "\t
      60. 0.295772265234781
        61. \n", + "\t
      61. 0.371091652576578
        62. \n", + "\t
      62. 0.280744745887474
        63. \n", + "\t
      63. 0.343438200699216
        64. \n", + "\t
      64. 0.27064504947963
        65. \n", + "\t
      65. 0.253508190785943
        66. \n", + "\t
      66. 0.332960864197205
        67. \n", + "\t
      67. 0.405504725713998
        68. \n", + "\t
      68. 0.184738725079468
        69. \n", + "\t
      69. 0.230252630931535
        70. \n", + "\t
      70. 0.225310077574273
        71. \n", + "\t
      71. 0.375237005297876
        72. \n", + "\t
      72. 0.342548021408566
        73. \n", + "\t
      73. 0.351849757695873
        74. \n", + "\t
      74. 0.294264643883821
        75. \n", + "\t
      75. 0.186568713080295
        76. \n", + "\t
      76. 0.412177684070407
        77. \n", + "\t
      77. 0.380565537217264
        78. \n", + "\t
      78. 0.280394151209661
        79. \n", + "\t
      79. 0.298126288169945
        80. \n", + "\t
      80. 0.288865622928207
        81. \n", + "\t
      81. 0.371868077391956
        82. \n", + "\t
      82. 0.257045442998499
        83. \n", + "\t
      83. 0.332560965134994
        84. \n", + "\t
      84. 0.350823995612141
        85. \n", + "\t
      85. 0.278437329527896
        86. \n", + "\t
      86. 0.436269271902683
        87. \n", + "\t
      87. 0.266306974356288
        88. \n", + "\t
      88. 0.416551618167957
        89. \n", + "\t
      89. 0.293077388530319
        90. \n", + "\t
      90. 0.288730140563364
        91. \n", + "\t
      91. 0.407249926224467
        92. \n", + "\t
      92. 0.207488188574026
        93. \n", + "\t
      93. 0.296220739204192
        94. \n", + "\t
      94. 0.305994325174798
        95. \n", + "\t
      95. 0.333063031434439
        96. \n", + "\t
      96. 0.253916990188453
        97. \n", + "\t
      97. 0.252856064581568
        98. \n", + "\t
      98. 0.236620017021553
        99. \n", + "\t
      99. 0.201299123645458
        100. \n", + "\t
      100. 0.277644009944249
        101. \n", + "
      \n", + "
      36. \n", + "\t
      36. \n", + "\t
      1. 0.405370400866187
        2. \n", + "\t
      2. 0.328069982049612
        3. \n", + "\t
      3. 0.322491259552034
        4. \n", + "\t
      4. 0.28785239482007
        5. \n", + "\t
      5. 0.307973653418147
        6. \n", + "\t
      6. 0.279748518086159
        7. \n", + "\t
      7. 0.268885631729612
        8. \n", + "\t
      8. 0.303216824733374
        9. \n", + "\t
      9. 0.149153368809611
        10. \n", + "\t
      10. 0.145586150163085
        11. \n", + "\t
      11. 0.256890155007097
        12. \n", + "\t
      12. 0.333702481963231
        13. \n", + "\t
      13. 0.136873716080967
        14. \n", + "\t
      14. 0.232710312578496
        15. \n", + "\t
      15. 0.28344272446912
        16. \n", + "\t
      16. 0.349047925321586
        17. \n", + "\t
      17. 0.374389111586108
        18. \n", + "\t
      18. 0.232089002981705
        19. \n", + "\t
      19. 0.34814954972831
        20. \n", + "\t
      20. 0.191527989677248
        21. \n", + "\t
      21. 0.142754657597647
        22. \n", + "\t
      22. 0.23064724790492
        23. \n", + "\t
      23. 0.378383763058586
        24. \n", + "\t
      24. 0.250896585587147
        25. \n", + "\t
      25. 0.301002487272594
        26. \n", + "\t
      26. 0.172259164561088
        27. \n", + "\t
      27. 0.205302060180974
        28. \n", + "\t
      28. 0.182233484211056
        29. \n", + "\t
      29. 0.193210949378648
        30. \n", + "\t
      30. 0.211558358969437
        31. \n", + "\t
      31. 0.190136894002928
        32. \n", + "\t
      32. 0.193719476419915
        33. \n", + "\t
      33. 0.167039086575658
        34. \n", + "\t
      34. 0.210630669266125
        35. \n", + "\t
      35. 0.217678686197812
        36. \n", + "\t
      36. 0.196672652250118
        37. \n", + "\t
      37. 0.327196343852271
        38. \n", + "\t
      38. 0.196656981351182
        39. \n", + "\t
      39. 0.320689882028942
        40. \n", + "\t
      40. 0.283447945912032
        41. \n", + "\t
      41. 0.265765686440702
        42. \n", + "\t
      42. 0.162216476963085
        43. \n", + "\t
      43. 0.278219227800827
        44. \n", + "\t
      44. 0.229400381485384
        45. \n", + "\t
      45. 0.252119716559771
        46. \n", + "\t
      46. 0.268121779925778
        47. \n", + "\t
      47. 0.425933730848819
        48. \n", + "\t
      48. 0.159711678434603
        49. \n", + "\t
      49. 0.18639150331349
        50. \n", + "\t
      50. 0.243013214076507
        51. \n", + "\t
      51. 0.14598336701012
        52. \n", + "\t
      52. 0.215690838268094
        53. \n", + "\t
      53. 0.248717861839476
        54. \n", + "\t
      54. 0.207757046814318
        55. \n", + "\t
      55. 0.340344438038294
        56. \n", + "\t
      56. 0.167036928979616
        57. \n", + "\t
      57. 0.19493994442519
        58. \n", + "\t
      58. 0.203106617638423
        59. \n", + "\t
      59. 0.234742939548197
        60. \n", + "\t
      60. 0.184961248207146
        61. \n", + "\t
      61. 0.335582400411991
        62. \n", + "\t
      62. 0.174211795476211
        63. \n", + "\t
      63. 0.192306189108393
        64. \n", + "\t
      64. 0.0898161903296311
        65. \n", + "\t
      65. 0.206152344543397
        66. \n", + "\t
      66. 0.318873787969063
        67. \n", + "\t
      67. 0.311135318861991
        68. \n", + "\t
      68. 0.205396097901297
        69. \n", + "\t
      69. 0.23519585786092
        70. \n", + "\t
      70. 0.243334840989905
        71. \n", + "\t
      71. 0.23101323259562
        72. \n", + "\t
      72. 0.205540728394467
        73. \n", + "\t
      73. 0.171590352416323
        74. \n", + "\t
      74. 0.232134915703207
        75. \n", + "\t
      75. 0.283501890442084
        76. \n", + "\t
      76. 0.293736865442075
        77. \n", + "\t
      77. 0.316945045264238
        78. \n", + "\t
      78. 0.21080021093353
        79. \n", + "\t
      79. 0.171684120609068
        80. \n", + "\t
      80. 0.344890190789226
        81. \n", + "\t
      81. 0.281152004774645
        82. \n", + "\t
      82. 0.154885981035595
        83. \n", + "\t
      83. 0.142551894787163
        84. \n", + "\t
      84. 0.211344254728146
        85. \n", + "\t
      85. 0.280160560614177
        86. \n", + "\t
      86. 0.400689624420473
        87. \n", + "\t
      87. 0.166385927125752
        88. \n", + "\t
      88. 0.218011565073571
        89. \n", + "\t
      89. 0.345420971398356
        90. \n", + "\t
      90. 0.260277135427282
        91. \n", + "\t
      91. 0.233918170550102
        92. \n", + "\t
      92. 0.168498261254102
        93. \n", + "\t
      93. 0.31052611378362
        94. \n", + "\t
      94. 0.258935902922445
        95. \n", + "\t
      95. 0.243191792198743
        96. \n", + "\t
      96. 0.252202271165256
        97. \n", + "\t
      97. 0.166588349773271
        98. \n", + "\t
      98. 0.194691800439716
        99. \n", + "\t
      99. 0.357532313975264
        100. \n", + "\t
      100. 0.216734050203959
        101. \n", + "
      \n", + "
      37. \n", + "\t
      37. \n", + "\t
      1. 0.140813776848461
        2. \n", + "\t
      2. 0.137944781270025
        3. \n", + "\t
      3. 0.199603546558178
        4. \n", + "\t
      4. 0.330275890836645
        5. \n", + "\t
      5. 0.269316472791984
        6. \n", + "\t
      6. 0.368291801438446
        7. \n", + "\t
      7. 0.262469270113248
        8. \n", + "\t
      8. 0.276949869812895
        9. \n", + "\t
      9. 0.263803082466611
        10. \n", + "\t
      10. 0.253263622369841
        11. \n", + "\t
      11. 0.23129674646266
        12. \n", + "\t
      12. 0.144923227336329
        13. \n", + "\t
      13. 0.250505845621942
        14. \n", + "\t
      14. 0.234796699026658
        15. \n", + "\t
      15. 0.216370237498844
        16. \n", + "\t
      16. 0.16237411697542
        17. \n", + "\t
      17. 0.295402037882355
        18. \n", + "\t
      18. 0.169360944736346
        19. \n", + "\t
      19. 0.215145443978821
        20. \n", + "\t
      20. 0.230444441686121
        21. \n", + "\t
      21. 0.304844591481115
        22. \n", + "\t
      22. 0.34233501992132
        23. \n", + "\t
      23. 0.279948136149484
        24. \n", + "\t
      24. 0.096413583182306
        25. \n", + "\t
      25. 0.0651065371246746
        26. \n", + "\t
      26. 0.276063872873268
        27. \n", + "\t
      27. 0.218852453664898
        28. \n", + "\t
      28. 0.21616866448363
        29. \n", + "\t
      29. 0.268829583570398
        30. \n", + "\t
      30. 0.205375024989144
        31. \n", + "\t
      31. 0.21860069366909
        32. \n", + "\t
      32. 0.281301128618585
        33. \n", + "\t
      33. 0.272745345558431
        34. \n", + "\t
      34. 0.0953526902942969
        35. \n", + "\t
      35. 0.397801735816937
        36. \n", + "\t
      36. 0.220709692399903
        37. \n", + "\t
      37. 0.161727258557017
        38. \n", + "\t
      38. 0.366589362497447
        39. \n", + "\t
      39. 0.332152907273897
        40. \n", + "\t
      40. 0.122016653999529
        41. \n", + "\t
      41. 0.261124199278075
        42. \n", + "\t
      42. 0.20007979343786
        43. \n", + "\t
      43. 0.319114806709089
        44. \n", + "\t
      44. 0.212252433564318
        45. \n", + "\t
      45. 0.390460867896615
        46. \n", + "\t
      46. 0.242971272747922
        47. \n", + "\t
      47. 0.219337174136159
        48. \n", + "\t
      48. 0.271965928757138
        49. \n", + "\t
      49. 0.228975563617705
        50. \n", + "\t
      50. 0.199555679317493
        51. \n", + "\t
      51. 0.250683680713952
        52. \n", + "\t
      52. 0.274276193518518
        53. \n", + "\t
      53. 0.164811751347305
        54. \n", + "\t
      54. 0.127510168369421
        55. \n", + "\t
      55. 0.120496067816366
        56. \n", + "\t
      56. 0.149105159065408
        57. \n", + "\t
      57. 0.244638569314887
        58. \n", + "\t
      58. 0.32299106764473
        59. \n", + "\t
      59. 0.067284260971477
        60. \n", + "\t
      60. 0.287037648197661
        61. \n", + "\t
      61. 0.255925898520193
        62. \n", + "\t
      62. 0.20405085219171
        63. \n", + "\t
      63. 0.185388213567062
        64. \n", + "\t
      64. 0.205946678687609
        65. \n", + "\t
      65. 0.291076971442757
        66. \n", + "\t
      66. 0.153990938937635
        67. \n", + "\t
      67. 0.131580383700887
        68. \n", + "\t
      68. 0.346770070334655
        69. \n", + "\t
      69. 0.317832670537859
        70. \n", + "\t
      70. 0.266617256791541
        71. \n", + "\t
      71. 0.428161514372947
        72. \n", + "\t
      72. 0.294651041534511
        73. \n", + "\t
      73. 0.293878423872705
        74. \n", + "\t
      74. 0.331268491616679
        75. \n", + "\t
      75. 0.271071633122144
        76. \n", + "\t
      76. 0.299438367796705
        77. \n", + "\t
      77. 0.243765102857368
        78. \n", + "\t
      78. 0.35869313059889
        79. \n", + "\t
      79. 0.348786569026861
        80. \n", + "\t
      80. 0.236263680184918
        81. \n", + "\t
      81. 0.419923273655035
        82. \n", + "\t
      82. 0.267352029009038
        83. \n", + "\t
      83. 0.141613911498005
        84. \n", + "\t
      84. 0.200617583683672
        85. \n", + "\t
      85. 0.301355423898012
        86. \n", + "\t
      86. 0.30353246659412
        87. \n", + "\t
      87. 0.155260514938753
        88. \n", + "\t
      88. 0.207055173501655
        89. \n", + "\t
      89. 0.204113974030521
        90. \n", + "\t
      90. 0.275603617461786
        91. \n", + "\t
      91. 0.187624728841992
        92. \n", + "\t
      92. 0.248188975900268
        93. \n", + "\t
      93. 0.290091167647828
        94. \n", + "\t
      94. 0.244238147165445
        95. \n", + "\t
      95. 0.392982104804839
        96. \n", + "\t
      96. 0.217588950541553
        97. \n", + "\t
      97. 0.285526175305741
        98. \n", + "\t
      98. 0.161799847774064
        99. \n", + "\t
      99. 0.283396278564543
        100. \n", + "\t
      100. 0.308450312018713
        101. \n", + "
      \n", + "
      38. \n", + "\t
      38. \n", + "\t
      1. 0.311008575966649
        2. \n", + "\t
      2. 0.217645506514103
        3. \n", + "\t
      3. 0.202112647474111
        4. \n", + "\t
      4. 0.140866015407458
        5. \n", + "\t
      5. 0.266938207868026
        6. \n", + "\t
      6. 0.254417455662952
        7. \n", + "\t
      7. 0.279062342247881
        8. \n", + "\t
      8. 0.230704814390847
        9. \n", + "\t
      9. 0.205961283463038
        10. \n", + "\t
      10. 0.271040242863513
        11. \n", + "\t
      11. 0.229978884556077
        12. \n", + "\t
      12. 0.371244324730158
        13. \n", + "\t
      13. 0.185926978166342
        14. \n", + "\t
      14. 0.231599113481107
        15. \n", + "\t
      15. 0.295048233737745
        16. \n", + "\t
      16. 0.144540298540182
        17. \n", + "\t
      17. 0.120657855210957
        18. \n", + "\t
      18. 0.288446766233326
        19. \n", + "\t
      19. 0.23655696830299
        20. \n", + "\t
      20. 0.244763609931428
        21. \n", + "\t
      21. 0.15938323887841
        22. \n", + "\t
      22. 0.257708996847928
        23. \n", + "\t
      23. 0.155040201703158
        24. \n", + "\t
      24. 0.14053327815954
        25. \n", + "\t
      25. 0.158724752173183
        26. \n", + "\t
      26. 0.199659739579439
        27. \n", + "\t
      27. 0.192159494375199
        28. \n", + "\t
      28. 0.229218357295027
        29. \n", + "\t
      29. 0.250347012141294
        30. \n", + "\t
      30. 0.183095092025022
        31. \n", + "\t
      31. 0.264330675493817
        32. \n", + "\t
      32. 0.221850825090963
        33. \n", + "\t
      33. 0.265584272814099
        34. \n", + "\t
      34. 0.316080025810857
        35. \n", + "\t
      35. 0.248560105506366
        36. \n", + "\t
      36. 0.181781722625324
        37. \n", + "\t
      37. 0.174391453279453
        38. \n", + "\t
      38. 0.293200955738294
        39. \n", + "\t
      39. 0.216761059210521
        40. \n", + "\t
      40. 0.25759511293034
        41. \n", + "\t
      41. 0.304357824273768
        42. \n", + "\t
      42. 0.374429761015905
        43. \n", + "\t
      43. 0.310959078995451
        44. \n", + "\t
      44. 0.23201364561788
        45. \n", + "\t
      45. 0.209981463371899
        46. \n", + "\t
      46. 0.235078335682576
        47. \n", + "\t
      47. 0.294983913486978
        48. \n", + "\t
      48. 0.084671284315742
        49. \n", + "\t
      49. 0.204309107259735
        50. \n", + "\t
      50. 0.168584888772946
        51. \n", + "\t
      51. 0.346532808656631
        52. \n", + "\t
      52. 0.365894482731035
        53. \n", + "\t
      53. 0.199776773436912
        54. \n", + "\t
      54. 0.22300069258957
        55. \n", + "\t
      55. 0.349175317114022
        56. \n", + "\t
      56. 0.305276392100297
        57. \n", + "\t
      57. 0.335272232314597
        58. \n", + "\t
      58. 0.175654547489595
        59. \n", + "\t
      59. 0.256305484993973
        60. \n", + "\t
      60. 0.272420650498912
        61. \n", + "\t
      61. 0.240416424666969
        62. \n", + "\t
      62. 0.243099407792007
        63. \n", + "\t
      63. 0.191073071971549
        64. \n", + "\t
      64. 0.253403741105491
        65. \n", + "\t
      65. 0.222476586312239
        66. \n", + "\t
      66. 0.313827365127983
        67. \n", + "\t
      67. 0.195452539286604
        68. \n", + "\t
      68. 0.287150164235533
        69. \n", + "\t
      69. 0.24478096682064
        70. \n", + "\t
      70. 0.344676790825614
        71. \n", + "\t
      71. 0.214549111813142
        72. \n", + "\t
      72. 0.289310059459727
        73. \n", + "\t
      73. 0.125565373502055
        74. \n", + "\t
      74. 0.215147847002828
        75. \n", + "\t
      75. 0.189560622579689
        76. \n", + "\t
      76. 0.300665077606215
        77. \n", + "\t
      77. 0.193208561452409
        78. \n", + "\t
      78. 0.284362696693084
        79. \n", + "\t
      79. 0.125856455592817
        80. \n", + "\t
      80. 0.326161911827026
        81. \n", + "\t
      81. 0.305481276727881
        82. \n", + "\t
      82. 0.236829174497295
        83. \n", + "\t
      83. 0.158024820815339
        84. \n", + "\t
      84. 0.340223883565251
        85. \n", + "\t
      85. 0.331288269007762
        86. \n", + "\t
      86. 0.185317164028281
        87. \n", + "\t
      87. 0.179170778329253
        88. \n", + "\t
      88. 0.219814413518062
        89. \n", + "\t
      89. 0.336003455852372
        90. \n", + "\t
      90. 0.329116435567812
        91. \n", + "\t
      91. 0.232213971457777
        92. \n", + "\t
      92. 0.23001999894363
        93. \n", + "\t
      93. 0.261670323055707
        94. \n", + "\t
      94. 0.198427624929032
        95. \n", + "\t
      95. 0.258427040364533
        96. \n", + "\t
      96. 0.262914597253273
        97. \n", + "\t
      97. 0.348845458138402
        98. \n", + "\t
      98. 0.214528015717124
        99. \n", + "\t
      99. 0.276723090112344
        100. \n", + "\t
      100. 0.233731017963396
        101. \n", + "
      \n", + "
      39. \n", + "\t
      39. \n", + "\t
      1. 0.2385453191667
        2. \n", + "\t
      2. 0.202093191521532
        3. \n", + "\t
      3. 0.262546767927739
        4. \n", + "\t
      4. 0.1995345783635
        5. \n", + "\t
      5. 0.0977775173388646
        6. \n", + "\t
      6. 0.114325856717634
        7. \n", + "\t
      7. 0.254124334749763
        8. \n", + "\t
      8. 0.287176705145544
        9. \n", + "\t
      9. 0.178229258416658
        10. \n", + "\t
      10. 0.137211134166118
        11. \n", + "\t
      11. 0.245875428252217
        12. \n", + "\t
      12. 0.0959247646863539
        13. \n", + "\t
      13. 0.253264887407673
        14. \n", + "\t
      14. 0.186606750325755
        15. \n", + "\t
      15. 0.25568766217352
        16. \n", + "\t
      16. 0.170588107063527
        17. \n", + "\t
      17. 0.224127105984375
        18. \n", + "\t
      18. 0.165757384591006
        19. \n", + "\t
      19. 0.202722986655426
        20. \n", + "\t
      20. 0.23508052153993
        21. \n", + "\t
      21. 0.179645399015665
        22. \n", + "\t
      22. 0.137493092590014
        23. \n", + "\t
      23. 0.227994647218827
        24. \n", + "\t
      24. 0.103609598217723
        25. \n", + "\t
      25. 0.179784698958358
        26. \n", + "\t
      26. 0.150637077692671
        27. \n", + "\t
      27. 0.403632224825738
        28. \n", + "\t
      28. 0.189358252629815
        29. \n", + "\t
      29. 0.330323172283412
        30. \n", + "\t
      30. 0.16488210032707
        31. \n", + "\t
      31. 0.251190917057793
        32. \n", + "\t
      32. 0.149463999929198
        33. \n", + "\t
      33. 0.188760465860275
        34. \n", + "\t
      34. 0.215671385933708
        35. \n", + "\t
      35. 0.357722586608695
        36. \n", + "\t
      36. 0.216931275090209
        37. \n", + "\t
      37. 0.182509815393608
        38. \n", + "\t
      38. 0.264339913051202
        39. \n", + "\t
      39. 0.26255461294042
        40. \n", + "\t
      40. 0.23024267771583
        41. \n", + "\t
      41. 0.285306256218781
        42. \n", + "\t
      42. 0.192124523464717
        43. \n", + "\t
      43. 0.158366431211656
        44. \n", + "\t
      44. 0.232914306482953
        45. \n", + "\t
      45. 0.160401098360056
        46. \n", + "\t
      46. 0.263621539618096
        47. \n", + "\t
      47. 0.253698376082973
        48. \n", + "\t
      48. 0.279859290867678
        49. \n", + "\t
      49. 0.178188384664331
        50. \n", + "\t
      50. 0.25400910746887
        51. \n", + "\t
      51. 0.222634624428998
        52. \n", + "\t
      52. 0.18157270901626
        53. \n", + "\t
      53. 0.190177702953686
        54. \n", + "\t
      54. 0.168712324481067
        55. \n", + "\t
      55. 0.264437369130702
        56. \n", + "\t
      56. 0.233561562058238
        57. \n", + "\t
      57. 0.173374858372761
        58. \n", + "\t
      58. 0.253869692440294
        59. \n", + "\t
      59. 0.231716305824815
        60. \n", + "\t
      60. 0.336513300104347
        61. \n", + "\t
      61. 0.210132763000999
        62. \n", + "\t
      62. 0.239731418775915
        63. \n", + "\t
      63. 0.227140635158753
        64. \n", + "\t
      64. 0.308535541421015
        65. \n", + "\t
      65. 0.394664002705277
        66. \n", + "\t
      66. 0.256974665314661
        67. \n", + "\t
      67. 0.284234821437851
        68. \n", + "\t
      68. 0.209929164164259
        69. \n", + "\t
      69. 0.209193753662169
        70. \n", + "\t
      70. 0.198754916525338
        71. \n", + "\t
      71. 0.207878008174107
        72. \n", + "\t
      72. 0.224119519404672
        73. \n", + "\t
      73. 0.302438496610853
        74. \n", + "\t
      74. 0.220924962031544
        75. \n", + "\t
      75. 0.19336809666108
        76. \n", + "\t
      76. 0.235041932758079
        77. \n", + "\t
      77. 0.340981027024466
        78. \n", + "\t
      78. 0.30921073007218
        79. \n", + "\t
      79. 0.226988617792463
        80. \n", + "\t
      80. 0.185426210000153
        81. \n", + "\t
      81. 0.283841834253402
        82. \n", + "\t
      82. 0.302890329041087
        83. \n", + "\t
      83. 0.250903558153994
        84. \n", + "\t
      84. 0.273902884535001
        85. \n", + "\t
      85. 0.237674795472205
        86. \n", + "\t
      86. 0.24295740602621
        87. \n", + "\t
      87. 0.146456238652111
        88. \n", + "\t
      88. 0.229975772687566
        89. \n", + "\t
      89. 0.220578982272738
        90. \n", + "\t
      90. 0.252405937107481
        91. \n", + "\t
      91. 0.160242565954686
        92. \n", + "\t
      92. 0.249112577866533
        93. \n", + "\t
      93. 0.203160964094285
        94. \n", + "\t
      94. 0.214276323648048
        95. \n", + "\t
      95. 0.408762222105706
        96. \n", + "\t
      96. 0.209159575623285
        97. \n", + "\t
      97. 0.198772940570974
        98. \n", + "\t
      98. 0.270538705283039
        99. \n", + "\t
      99. 0.220697369050313
        100. \n", + "\t
      100. 0.27894751918197
        101. \n", + "
      \n", + "
      40. \n", + "\t
      40. \n", + "\t
      1. 0.179158672021293
        2. \n", + "\t
      2. 0.105394769793462
        3. \n", + "\t
      3. 0.22742262036136
        4. \n", + "\t
      4. 0.261182895534711
        5. \n", + "\t
      5. 0.0824882058280989
        6. \n", + "\t
      6. 0.100954573172552
        7. \n", + "\t
      7. 0.18616337988121
        8. \n", + "\t
      8. 0.320106632895156
        9. \n", + "\t
      9. 0.243897264935975
        10. \n", + "\t
      10. 0.133257498118168
        11. \n", + "\t
      11. 0.185980846667963
        12. \n", + "\t
      12. 0.303366346552988
        13. \n", + "\t
      13. 0.26256743598103
        14. \n", + "\t
      14. 0.163966892760175
        15. \n", + "\t
      15. 0.400437335569738
        16. \n", + "\t
      16. 0.261536171455512
        17. \n", + "\t
      17. 0.315980769995912
        18. \n", + "\t
      18. 0.169744252081943
        19. \n", + "\t
      19. 0.174647837629201
        20. \n", + "\t
      20. 0.241317639423888
        21. \n", + "\t
      21. 0.228481896504287
        22. \n", + "\t
      22. 0.150340164914525
        23. \n", + "\t
      23. 0.274959992164527
        24. \n", + "\t
      24. 0.343060966271785
        25. \n", + "\t
      25. 0.0536816847098286
        26. \n", + "\t
      26. 0.219208183421669
        27. \n", + "\t
      27. 0.29974218092055
        28. \n", + "\t
      28. 0.322357881436149
        29. \n", + "\t
      29. 0.24480422481004
        30. \n", + "\t
      30. 0.364434002904477
        31. \n", + "\t
      31. 0.337801409785248
        32. \n", + "\t
      32. 0.157563528310478
        33. \n", + "\t
      33. 0.166923832513418
        34. \n", + "\t
      34. 0.336083605539636
        35. \n", + "\t
      35. 0.163676388944282
        36. \n", + "\t
      36. 0.200491141649783
        37. \n", + "\t
      37. 0.176433347557004
        38. \n", + "\t
      38. 0.281104666098462
        39. \n", + "\t
      39. 0.202413795439053
        40. \n", + "\t
      40. 0.246228252424349
        41. \n", + "\t
      41. 0.301273750706795
        42. \n", + "\t
      42. 0.170276065661386
        43. \n", + "\t
      43. 0.181289726579438
        44. \n", + "\t
      44. 0.196348022597053
        45. \n", + "\t
      45. 0.218180734476602
        46. \n", + "\t
      46. 0.351236123059891
        47. \n", + "\t
      47. 0.186062183790858
        48. \n", + "\t
      48. 0.246015503375582
        49. \n", + "\t
      49. 0.238228981857919
        50. \n", + "\t
      50. 0.297403445765687
        51. \n", + "\t
      51. 0.27561168236352
        52. \n", + "\t
      52. 0.267223406055345
        53. \n", + "\t
      53. 0.171122706763428
        54. \n", + "\t
      54. 0.18656299199092
        55. \n", + "\t
      55. 0.243929917907615
        56. \n", + "\t
      56. 0.268030032588842
        57. \n", + "\t
      57. 0.217387810488953
        58. \n", + "\t
      58. 0.217241878492059
        59. \n", + "\t
      59. 0.244694668047812
        60. \n", + "\t
      60. 0.216153234486695
        61. \n", + "\t
      61. 0.283628037319353
        62. \n", + "\t
      62. 0.35149746208316
        63. \n", + "\t
      63. 0.281173177946456
        64. \n", + "\t
      64. 0.209700329640449
        65. \n", + "\t
      65. 0.318263164720852
        66. \n", + "\t
      66. 0.210318367149302
        67. \n", + "\t
      67. 0.0829156477938532
        68. \n", + "\t
      68. 0.39055148367239
        69. \n", + "\t
      69. 0.267533216730524
        70. \n", + "\t
      70. 0.251883886478574
        71. \n", + "\t
      71. 0.111735183112349
        72. \n", + "\t
      72. 0.126054337146236
        73. \n", + "\t
      73. 0.206420907691459
        74. \n", + "\t
      74. 0.240580181417258
        75. \n", + "\t
      75. 0.307546545453387
        76. \n", + "\t
      76. 0.347091929906892
        77. \n", + "\t
      77. 0.295838438198075
        78. \n", + "\t
      78. 0.137161050317672
        79. \n", + "\t
      79. 0.381564278866814
        80. \n", + "\t
      80. 0.321026929038132
        81. \n", + "\t
      81. 0.273921285584352
        82. \n", + "\t
      82. 0.275349992558544
        83. \n", + "\t
      83. 0.231970293740341
        84. \n", + "\t
      84. 0.187304351908737
        85. \n", + "\t
      85. 0.312638401950986
        86. \n", + "\t
      86. 0.213699987407848
        87. \n", + "\t
      87. 0.249143321618662
        88. \n", + "\t
      88. 0.190527829206173
        89. \n", + "\t
      89. 0.234945359492571
        90. \n", + "\t
      90. 0.22218100826977
        91. \n", + "\t
      91. 0.16907424071206
        92. \n", + "\t
      92. 0.17383008685175
        93. \n", + "\t
      93. 0.234072395931816
        94. \n", + "\t
      94. 0.202265261867902
        95. \n", + "\t
      95. 0.197465165328294
        96. \n", + "\t
      96. 0.400168416671375
        97. \n", + "\t
      97. 0.183926800683237
        98. \n", + "\t
      98. 0.297505932683974
        99. \n", + "\t
      99. 0.253365457219181
        100. \n", + "\t
      100. 0.22384080465481
        101. \n", + "
      \n", + "
      41. \n", + "\t
      41. \n", + "\t
      1. 0.401120930894958
        2. \n", + "\t
      2. 0.40111512053299
        3. \n", + "\t
      3. 0.281975303563733
        4. \n", + "\t
      4. 0.220349461223718
        5. \n", + "\t
      5. 0.289107234063922
        6. \n", + "\t
      6. 0.132170722462428
        7. \n", + "\t
      7. 0.186091332051759
        8. \n", + "\t
      8. 0.24491441805562
        9. \n", + "\t
      9. 0.279400401045545
        10. \n", + "\t
      10. 0.284803054352908
        11. \n", + "\t
      11. 0.280152407618687
        12. \n", + "\t
      12. 0.303308531429833
        13. \n", + "\t
      13. 0.34040431932058
        14. \n", + "\t
      14. 0.395541981046328
        15. \n", + "\t
      15. 0.279655408967777
        16. \n", + "\t
      16. 0.4023489452566
        17. \n", + "\t
      17. 0.181807158374955
        18. \n", + "\t
      18. 0.193083245956611
        19. \n", + "\t
      19. 0.303686129159431
        20. \n", + "\t
      20. 0.0816567433261371
        21. \n", + "\t
      21. 0.311347706231943
        22. \n", + "\t
      22. 0.39044430794367
        23. \n", + "\t
      23. 0.275857183390108
        24. \n", + "\t
      24. 0.273431089513822
        25. \n", + "\t
      25. 0.182974536672087
        26. \n", + "\t
      26. 0.230079736946818
        27. \n", + "\t
      27. 0.271711256082778
        28. \n", + "\t
      28. 0.357092878691293
        29. \n", + "\t
      29. 0.316772681699264
        30. \n", + "\t
      30. 0.316349919763429
        31. \n", + "\t
      31. 0.335383215387824
        32. \n", + "\t
      32. 0.372890000585398
        33. \n", + "\t
      33. 0.376520308230531
        34. \n", + "\t
      34. 0.264298438188871
        35. \n", + "\t
      35. 0.266734284063917
        36. \n", + "\t
      36. 0.330413302440849
        37. \n", + "\t
      37. 0.130400866706214
        38. \n", + "\t
      38. 0.166257150224844
        39. \n", + "\t
      39. 0.185088321071317
        40. \n", + "\t
      40. 0.217994144318983
        41. \n", + "\t
      41. 0.180996511801051
        42. \n", + "\t
      42. 0.231185362869705
        43. \n", + "\t
      43. 0.278598743722371
        44. \n", + "\t
      44. 0.126572536809709
        45. \n", + "\t
      45. 0.332086300825775
        46. \n", + "\t
      46. 0.114451565438249
        47. \n", + "\t
      47. 0.386848910858713
        48. \n", + "\t
      48. 0.31473833189092
        49. \n", + "\t
      49. 0.166227044007918
        50. \n", + "\t
      50. 0.313933638578552
        51. \n", + "\t
      51. 0.248078980872768
        52. \n", + "\t
      52. 0.284455876348828
        53. \n", + "\t
      53. 0.330499333988433
        54. \n", + "\t
      54. 0.0286523888111571
        55. \n", + "\t
      55. 0.27888340960359
        56. \n", + "\t
      56. 0.294120617662859
        57. \n", + "\t
      57. 0.320239571884356
        58. \n", + "\t
      58. 0.352389660444761
        59. \n", + "\t
      59. 0.303991432549199
        60. \n", + "\t
      60. 0.176058720167168
        61. \n", + "\t
      61. 0.440813976532845
        62. \n", + "\t
      62. 0.35028434919277
        63. \n", + "\t
      63. 0.22519863173499
        64. \n", + "\t
      64. 0.296710881484984
        65. \n", + "\t
      65. 0.352837386444202
        66. \n", + "\t
      66. 0.251341719840946
        67. \n", + "\t
      67. 0.297284327065452
        68. \n", + "\t
      68. 0.306476152235707
        69. \n", + "\t
      69. 0.233883509874071
        70. \n", + "\t
      70. 0.173015705859163
        71. \n", + "\t
      71. 0.35530788716164
        72. \n", + "\t
      72. 0.23563060860402
        73. \n", + "\t
      73. 0.256727634911268
        74. \n", + "\t
      74. 0.242049819276427
        75. \n", + "\t
      75. 0.241705844577765
        76. \n", + "\t
      76. 0.330716557846787
        77. \n", + "\t
      77. 0.357215364637907
        78. \n", + "\t
      78. 0.282724106470164
        79. \n", + "\t
      79. 0.338732515647992
        80. \n", + "\t
      80. 0.23578856364192
        81. \n", + "\t
      81. 0.28971173370048
        82. \n", + "\t
      82. 0.254958110620428
        83. \n", + "\t
      83. 0.344678125767622
        84. \n", + "\t
      84. 0.240826547475128
        85. \n", + "\t
      85. 0.234234514229156
        86. \n", + "\t
      86. 0.30852509339749
        87. \n", + "\t
      87. 0.349429834481622
        88. \n", + "\t
      88. 0.405871009464019
        89. \n", + "\t
      89. 0.374135638900934
        90. \n", + "\t
      90. 0.306115358764954
        91. \n", + "\t
      91. 0.36488158322791
        92. \n", + "\t
      92. 0.200241625601968
        93. \n", + "\t
      93. 0.28001130913149
        94. \n", + "\t
      94. 0.371714193504705
        95. \n", + "\t
      95. 0.410313016117929
        96. \n", + "\t
      96. 0.377780632578646
        97. \n", + "\t
      97. 0.407730895043593
        98. \n", + "\t
      98. 0.359358373476801
        99. \n", + "\t
      99. 0.295164343793737
        100. \n", + "\t
      100. 0.278374991896488
        101. \n", + "
      \n", + "
      42. \n", + "\t
      42. \n", + "\t
      1. 0.18147392786736
        2. \n", + "\t
      2. 0.277537791757597
        3. \n", + "\t
      3. 0.360480684586625
        4. \n", + "\t
      4. 0.171132302425173
        5. \n", + "\t
      5. 0.183738233751784
        6. \n", + "\t
      6. 0.337016966612661
        7. \n", + "\t
      7. 0.310740486738561
        8. \n", + "\t
      8. 0.197060416201052
        9. \n", + "\t
      9. 0.232618348275058
        10. \n", + "\t
      10. 0.112934343292433
        11. \n", + "\t
      11. 0.148713831570716
        12. \n", + "\t
      12. 0.257152302137034
        13. \n", + "\t
      13. 0.321148896212196
        14. \n", + "\t
      14. 0.328796789859437
        15. \n", + "\t
      15. 0.29310082394885
        16. \n", + "\t
      16. 0.257537023005138
        17. \n", + "\t
      17. 0.335422644867442
        18. \n", + "\t
      18. 0.250884404616572
        19. \n", + "\t
      19. 0.245492694599257
        20. \n", + "\t
      20. 0.248708729259934
        21. \n", + "\t
      21. 0.289247262525256
        22. \n", + "\t
      22. 0.191044500964487
        23. \n", + "\t
      23. 0.180623256391186
        24. \n", + "\t
      24. 0.118625213851645
        25. \n", + "\t
      25. 0.174226333451625
        26. \n", + "\t
      26. 0.239703867970529
        27. \n", + "\t
      27. 0.345096698849098
        28. \n", + "\t
      28. 0.293179274586354
        29. \n", + "\t
      29. 0.238881198800736
        30. \n", + "\t
      30. 0.225139839333459
        31. \n", + "\t
      31. 0.398200525088889
        32. \n", + "\t
      32. 0.202848915418431
        33. \n", + "\t
      33. 0.422235245317027
        34. \n", + "\t
      34. 0.149798712854836
        35. \n", + "\t
      35. 0.290051692155562
        36. \n", + "\t
      36. 0.220283723324443
        37. \n", + "\t
      37. 0.297373947909912
        38. \n", + "\t
      38. 0.20361491255381
        39. \n", + "\t
      39. 0.244725647728186
        40. \n", + "\t
      40. 0.258198630852153
        41. \n", + "\t
      41. 0.30104361883661
        42. \n", + "\t
      42. 0.163730768512664
        43. \n", + "\t
      43. 0.222167471412059
        44. \n", + "\t
      44. 0.151737167145653
        45. \n", + "\t
      45. 0.378927345903166
        46. \n", + "\t
      46. 0.215735611115854
        47. \n", + "\t
      47. 0.264523195567786
        48. \n", + "\t
      48. 0.126603010091908
        49. \n", + "\t
      49. 0.33727363457356
        50. \n", + "\t
      50. 0.307071110056837
        51. \n", + "\t
      51. 0.448544239870451
        52. \n", + "\t
      52. 0.358414927823317
        53. \n", + "\t
      53. 0.36097100516559
        54. \n", + "\t
      54. 0.258180910013783
        55. \n", + "\t
      55. 0.324640362598789
        56. \n", + "\t
      56. 0.252968174009496
        57. \n", + "\t
      57. 0.252265463172309
        58. \n", + "\t
      58. 0.15664929822685
        59. \n", + "\t
      59. 0.23862968070422
        60. \n", + "\t
      60. 0.324655318128215
        61. \n", + "\t
      61. 0.343300994162315
        62. \n", + "\t
      62. 0.329318968482207
        63. \n", + "\t
      63. 0.241467402022637
        64. \n", + "\t
      64. 0.363978319099666
        65. \n", + "\t
      65. 0.299352431805034
        66. \n", + "\t
      66. 0.218123452630318
        67. \n", + "\t
      67. 0.268523988244223
        68. \n", + "\t
      68. 0.241445627919609
        69. \n", + "\t
      69. 0.333620842326928
        70. \n", + "\t
      70. 0.150222561249096
        71. \n", + "\t
      71. 0.539235656974547
        72. \n", + "\t
      72. 0.226930417472214
        73. \n", + "\t
      73. 0.418277349423272
        74. \n", + "\t
      74. 0.199523728645546
        75. \n", + "\t
      75. 0.295182915127737
        76. \n", + "\t
      76. 0.273254177083082
        77. \n", + "\t
      77. 0.238432519617089
        78. \n", + "\t
      78. 0.140410448933536
        79. \n", + "\t
      79. 0.214924948788977
        80. \n", + "\t
      80. 0.284259384314758
        81. \n", + "\t
      81. 0.243748165375923
        82. \n", + "\t
      82. 0.31464076168017
        83. \n", + "\t
      83. 0.329888788444042
        84. \n", + "\t
      84. 0.40940892720139
        85. \n", + "\t
      85. 0.301574865714576
        86. \n", + "\t
      86. 0.312462217287734
        87. \n", + "\t
      87. 0.244664448367074
        88. \n", + "\t
      88. 0.227778374585546
        89. \n", + "\t
      89. 0.313386987611045
        90. \n", + "\t
      90. 0.218467951237428
        91. \n", + "\t
      91. 0.250581349222384
        92. \n", + "\t
      92. 0.383610909942993
        93. \n", + "\t
      93. 0.270265269564841
        94. \n", + "\t
      94. 0.175154280443385
        95. \n", + "\t
      95. 0.255246640540066
        96. \n", + "\t
      96. 0.246634563907027
        97. \n", + "\t
      97. 0.131726050376561
        98. \n", + "\t
      98. 0.295174717123713
        99. \n", + "\t
      99. 0.141136822510348
        100. \n", + "\t
      100. 0.282707216476048
        101. \n", + "
      \n", + "
      43. \n", + "\t
      43. \n", + "\t
      1. 0.177079003573472
        2. \n", + "\t
      2. 0.220831582537415
        3. \n", + "\t
      3. 0.249791143952794
        4. \n", + "\t
      4. 0.223558181074009
        5. \n", + "\t
      5. 0.190091611830772
        6. \n", + "\t
      6. 0.302650535550518
        7. \n", + "\t
      7. 0.302675564382953
        8. \n", + "\t
      8. 0.228347497805457
        9. \n", + "\t
      9. 0.375414120257285
        10. \n", + "\t
      10. 0.328772530933649
        11. \n", + "\t
      11. 0.241755580625925
        12. \n", + "\t
      12. 0.310611750211325
        13. \n", + "\t
      13. 0.256162782742588
        14. \n", + "\t
      14. 0.170826942156228
        15. \n", + "\t
      15. 0.207217666328242
        16. \n", + "\t
      16. 0.16737258103586
        17. \n", + "\t
      17. 0.155326376467793
        18. \n", + "\t
      18. 0.387865747655276
        19. \n", + "\t
      19. 0.286394467866669
        20. \n", + "\t
      20. 0.259538683152444
        21. \n", + "\t
      21. 0.291934923155648
        22. \n", + "\t
      22. 0.140512220557694
        23. \n", + "\t
      23. 0.281629694911686
        24. \n", + "\t
      24. 0.339680114449094
        25. \n", + "\t
      25. 0.197849163338621
        26. \n", + "\t
      26. 0.16558594531922
        27. \n", + "\t
      27. 0.23464677910897
        28. \n", + "\t
      28. 0.215984786138335
        29. \n", + "\t
      29. 0.221830814489193
        30. \n", + "\t
      30. 0.35661073075368
        31. \n", + "\t
      31. 0.151325638411748
        32. \n", + "\t
      32. 0.239731434281675
        33. \n", + "\t
      33. 0.0735885276554991
        34. \n", + "\t
      34. 0.201339952201987
        35. \n", + "\t
      35. 0.305192675727185
        36. \n", + "\t
      36. 0.251705724920699
        37. \n", + "\t
      37. 0.224474165534597
        38. \n", + "\t
      38. 0.268254394307272
        39. \n", + "\t
      39. 0.208377495791679
        40. \n", + "\t
      40. 0.207887465556311
        41. \n", + "\t
      41. 0.18049033660796
        42. \n", + "\t
      42. 0.193607800731716
        43. \n", + "\t
      43. 0.215419597767931
        44. \n", + "\t
      44. 0.272040933100473
        45. \n", + "\t
      45. 0.311434249504711
        46. \n", + "\t
      46. 0.394601485142404
        47. \n", + "\t
      47. 0.229554795802286
        48. \n", + "\t
      48. 0.133896809470332
        49. \n", + "\t
      49. 0.197015932888629
        50. \n", + "\t
      50. 0.233772198272242
        51. \n", + "\t
      51. 0.180869076189278
        52. \n", + "\t
      52. 0.230099229381949
        53. \n", + "\t
      53. 0.151203974966939
        54. \n", + "\t
      54. 0.234562285739313
        55. \n", + "\t
      55. 0.196653380523785
        56. \n", + "\t
      56. 0.268119117332308
        57. \n", + "\t
      57. 0.228395088411291
        58. \n", + "\t
      58. 0.205032061298271
        59. \n", + "\t
      59. 0.318606475649448
        60. \n", + "\t
      60. 0.421815895411943
        61. \n", + "\t
      61. 0.204814447211915
        62. \n", + "\t
      62. 0.208780162714083
        63. \n", + "\t
      63. 0.279629425765968
        64. \n", + "\t
      64. 0.291485523610593
        65. \n", + "\t
      65. 0.323467310709452
        66. \n", + "\t
      66. 0.258110075235881
        67. \n", + "\t
      67. 0.108880536838785
        68. \n", + "\t
      68. 0.193935275814014
        69. \n", + "\t
      69. 0.159805259073731
        70. \n", + "\t
      70. 0.249199284861017
        71. \n", + "\t
      71. 0.269437944887367
        72. \n", + "\t
      72. 0.170632169333711
        73. \n", + "\t
      73. 0.250419846035889
        74. \n", + "\t
      74. 0.342071498502384
        75. \n", + "\t
      75. 0.27264893502042
        76. \n", + "\t
      76. 0.238515006065672
        77. \n", + "\t
      77. 0.188319002390352
        78. \n", + "\t
      78. 0.258892384033666
        79. \n", + "\t
      79. 0.268926675616126
        80. \n", + "\t
      80. 0.360387159645227
        81. \n", + "\t
      81. 0.295036958543343
        82. \n", + "\t
      82. 0.101440564693493
        83. \n", + "\t
      83. 0.275515428903929
        84. \n", + "\t
      84. 0.262329630049761
        85. \n", + "\t
      85. 0.143818891274623
        86. \n", + "\t
      86. 0.187787196215461
        87. \n", + "\t
      87. 0.251678689372377
        88. \n", + "\t
      88. 0.324821376379573
        89. \n", + "\t
      89. 0.360387489781667
        90. \n", + "\t
      90. 0.32341093903763
        91. \n", + "\t
      91. 0.295784646922587
        92. \n", + "\t
      92. 0.259020477948085
        93. \n", + "\t
      93. 0.355382362176316
        94. \n", + "\t
      94. 0.325342389729944
        95. \n", + "\t
      95. 0.279353179855249
        96. \n", + "\t
      96. 0.238514521733738
        97. \n", + "\t
      97. 0.25434596376604
        98. \n", + "\t
      98. 0.323492602339304
        99. \n", + "\t
      99. 0.149479448539588
        100. \n", + "\t
      100. 0.261893285838531
        101. \n", + "
      \n", + "
      44. \n", + "\t
      44. \n", + "\t
      1. 0.291522344878641
        2. \n", + "\t
      2. 0.19081430412649
        3. \n", + "\t
      3. 0.344858125306801
        4. \n", + "\t
      4. 0.177846655172568
        5. \n", + "\t
      5. 0.237772705485972
        6. \n", + "\t
      6. 0.0998962093525443
        7. \n", + "\t
      7. 0.356546483784182
        8. \n", + "\t
      8. 0.373824494157239
        9. \n", + "\t
      9. 0.257448252788466
        10. \n", + "\t
      10. 0.123674035387143
        11. \n", + "\t
      11. 0.176610669715388
        12. \n", + "\t
      12. 0.261689173338827
        13. \n", + "\t
      13. 0.334605967015794
        14. \n", + "\t
      14. 0.347493652419625
        15. \n", + "\t
      15. 0.206252518006683
        16. \n", + "\t
      16. 0.2886152938242
        17. \n", + "\t
      17. 0.101235275614954
        18. \n", + "\t
      18. 0.357690732724824
        19. \n", + "\t
      19. 0.368043602120142
        20. \n", + "\t
      20. 0.253081944824626
        21. \n", + "\t
      21. 0.199745509597876
        22. \n", + "\t
      22. 0.150786526850242
        23. \n", + "\t
      23. 0.41113633178724
        24. \n", + "\t
      24. 0.368974898231845
        25. \n", + "\t
      25. 0.269700696779831
        26. \n", + "\t
      26. 0.273839484543008
        27. \n", + "\t
      27. 0.250605648762415
        28. \n", + "\t
      28. 0.143974500305409
        29. \n", + "\t
      29. 0.250425660302221
        30. \n", + "\t
      30. 0.160489197425728
        31. \n", + "\t
      31. 0.178495842674647
        32. \n", + "\t
      32. 0.210403844576582
        33. \n", + "\t
      33. 0.169980825642367
        34. \n", + "\t
      34. 0.0916895406305695
        35. \n", + "\t
      35. 0.245784934835596
        36. \n", + "\t
      36. 0.30282590551776
        37. \n", + "\t
      37. 0.229017957396443
        38. \n", + "\t
      38. 0.1234713432814
        39. \n", + "\t
      39. 0.24616422872469
        40. \n", + "\t
      40. 0.222570774811124
        41. \n", + "\t
      41. 0.282877737216151
        42. \n", + "\t
      42. 0.198778643324696
        43. \n", + "\t
      43. 0.335095072852949
        44. \n", + "\t
      44. 0.350986363788849
        45. \n", + "\t
      45. 0.139936796232379
        46. \n", + "\t
      46. 0.348103365676472
        47. \n", + "\t
      47. 0.261335009401266
        48. \n", + "\t
      48. 0.342027437446292
        49. \n", + "\t
      49. 0.201632464514096
        50. \n", + "\t
      50. 0.158626632672936
        51. \n", + "\t
      51. 0.307033927298755
        52. \n", + "\t
      52. 0.342995078242787
        53. \n", + "\t
      53. 0.184284912242019
        54. \n", + "\t
      54. 0.190650103084548
        55. \n", + "\t
      55. 0.269621344972056
        56. \n", + "\t
      56. 0.119654133048252
        57. \n", + "\t
      57. 0.101856688980703
        58. \n", + "\t
      58. 0.162288343366922
        59. \n", + "\t
      59. 0.268289951960521
        60. \n", + "\t
      60. 0.221873449272787
        61. \n", + "\t
      61. 0.309936432291684
        62. \n", + "\t
      62. 0.249888333855543
        63. \n", + "\t
      63. 0.213073307430671
        64. \n", + "\t
      64. 0.423489525670799
        65. \n", + "\t
      65. 0.320452626451649
        66. \n", + "\t
      66. 0.229569028711655
        67. \n", + "\t
      67. 0.379043940673209
        68. \n", + "\t
      68. 0.20498010283988
        69. \n", + "\t
      69. 0.140116949905147
        70. \n", + "\t
      70. 0.31696643996886
        71. \n", + "\t
      71. 0.274665279163824
        72. \n", + "\t
      72. 0.247720180460961
        73. \n", + "\t
      73. 0.249340951840986
        74. \n", + "\t
      74. 0.22278319823622
        75. \n", + "\t
      75. 0.381373022231723
        76. \n", + "\t
      76. 0.146077537103709
        77. \n", + "\t
      77. 0.304119300209776
        78. \n", + "\t
      78. 0.230585769099761
        79. \n", + "\t
      79. 0.267835746023292
        80. \n", + "\t
      80. 0.357328382052257
        81. \n", + "\t
      81. 0.312191236688561
        82. \n", + "\t
      82. 0.356471117654776
        83. \n", + "\t
      83. 0.272859374914895
        84. \n", + "\t
      84. 0.212409784759838
        85. \n", + "\t
      85. 0.234861272233448
        86. \n", + "\t
      86. 0.193755713953832
        87. \n", + "\t
      87. 0.257887463418127
        88. \n", + "\t
      88. 0.192661606761402
        89. \n", + "\t
      89. 0.341000570161527
        90. \n", + "\t
      90. 0.169419076220259
        91. \n", + "\t
      91. 0.192547686675628
        92. \n", + "\t
      92. 0.214909060128543
        93. \n", + "\t
      93. 0.30407427465747
        94. \n", + "\t
      94. 0.376034129859693
        95. \n", + "\t
      95. 0.21169879646538
        96. \n", + "\t
      96. 0.332907478146355
        97. \n", + "\t
      97. 0.311787149279429
        98. \n", + "\t
      98. 0.302126631948848
        99. \n", + "\t
      99. 0.215380926102711
        100. \n", + "\t
      100. 0.250987072073975
        101. \n", + "
      \n", + "
      45. \n", + "\t
      45. \n", + "\t
      1. 0.229775434572017
        2. \n", + "\t
      2. 0.361481765514345
        3. \n", + "\t
      3. 0.223846145778094
        4. \n", + "\t
      4. 0.201255346557335
        5. \n", + "\t
      5. 0.196935775468876
        6. \n", + "\t
      6. 0.220649326148062
        7. \n", + "\t
      7. 0.2915602810559
        8. \n", + "\t
      8. 0.280375052120088
        9. \n", + "\t
      9. 0.222744282957928
        10. \n", + "\t
      10. 0.131270682733533
        11. \n", + "\t
      11. 0.256235650662762
        12. \n", + "\t
      12. 0.28808667933104
        13. \n", + "\t
      13. 0.209746724266664
        14. \n", + "\t
      14. 0.406031312768316
        15. \n", + "\t
      15. 0.253674640887352
        16. \n", + "\t
      16. 0.285706990508338
        17. \n", + "\t
      17. 0.449650170165405
        18. \n", + "\t
      18. 0.248742537549483
        19. \n", + "\t
      19. 0.327418754219947
        20. \n", + "\t
      20. 0.201523633206851
        21. \n", + "\t
      21. 0.336342786904585
        22. \n", + "\t
      22. 0.253250880092046
        23. \n", + "\t
      23. 0.333146131745642
        24. \n", + "\t
      24. 0.174439085032495
        25. \n", + "\t
      25. 0.396677474011663
        26. \n", + "\t
      26. 0.327102736230488
        27. \n", + "\t
      27. 0.293201947635716
        28. \n", + "\t
      28. 0.184951805549417
        29. \n", + "\t
      29. 0.171185047975809
        30. \n", + "\t
      30. 0.207114719760344
        31. \n", + "\t
      31. 0.26378779404651
        32. \n", + "\t
      32. 0.278942758435002
        33. \n", + "\t
      33. 0.357755648152073
        34. \n", + "\t
      34. 0.23517515052311
        35. \n", + "\t
      35. 0.170286792735994
        36. \n", + "\t
      36. 0.266319001173257
        37. \n", + "\t
      37. 0.270768113182049
        38. \n", + "\t
      38. 0.420914151303632
        39. \n", + "\t
      39. 0.311114896291636
        40. \n", + "\t
      40. 0.145512260063283
        41. \n", + "\t
      41. 0.486605280461547
        42. \n", + "\t
      42. 0.297772674278497
        43. \n", + "\t
      43. 0.277331340473209
        44. \n", + "\t
      44. 0.306569099472909
        45. \n", + "\t
      45. 0.189460677801719
        46. \n", + "\t
      46. 0.238323887325686
        47. \n", + "\t
      47. 0.298803119349025
        48. \n", + "\t
      48. 0.263906183531244
        49. \n", + "\t
      49. 0.364203108675596
        50. \n", + "\t
      50. 0.141085454880091
        51. \n", + "\t
      51. 0.368242344330556
        52. \n", + "\t
      52. 0.512605329145767
        53. \n", + "\t
      53. 0.187102364563525
        54. \n", + "\t
      54. 0.373575519603712
        55. \n", + "\t
      55. 0.25682107894525
        56. \n", + "\t
      56. 0.362545984542043
        57. \n", + "\t
      57. 0.389441076190448
        58. \n", + "\t
      58. 0.178399562067678
        59. \n", + "\t
      59. 0.314578070439033
        60. \n", + "\t
      60. 0.246019740725964
        61. \n", + "\t
      61. 0.24228249584337
        62. \n", + "\t
      62. 0.133302657159506
        63. \n", + "\t
      63. 0.336377536541034
        64. \n", + "\t
      64. 0.212484508303257
        65. \n", + "\t
      65. 0.23334548162485
        66. \n", + "\t
      66. 0.259131768393401
        67. \n", + "\t
      67. 0.232450110307264
        68. \n", + "\t
      68. 0.204860641253739
        69. \n", + "\t
      69. 0.43349877772054
        70. \n", + "\t
      70. 0.223194080233921
        71. \n", + "\t
      71. 0.218398148664085
        72. \n", + "\t
      72. 0.177969777990582
        73. \n", + "\t
      73. 0.221833403542125
        74. \n", + "\t
      74. 0.388183620538365
        75. \n", + "\t
      75. 0.356976446955313
        76. \n", + "\t
      76. 0.0823582630044301
        77. \n", + "\t
      77. 0.289571590470886
        78. \n", + "\t
      78. 0.329989448136537
        79. \n", + "\t
      79. 0.267734196247062
        80. \n", + "\t
      80. 0.14429690525999
        81. \n", + "\t
      81. 0.267820278504032
        82. \n", + "\t
      82. 0.284019502522024
        83. \n", + "\t
      83. 0.192742144952953
        84. \n", + "\t
      84. 0.334350340655662
        85. \n", + "\t
      85. 0.384189867690149
        86. \n", + "\t
      86. 0.250934663159098
        87. \n", + "\t
      87. 0.301941692844368
        88. \n", + "\t
      88. 0.463532595869164
        89. \n", + "\t
      89. 0.274864563485228
        90. \n", + "\t
      90. 0.123004215339222
        91. \n", + "\t
      91. 0.401530723121804
        92. \n", + "\t
      92. 0.227294889883775
        93. \n", + "\t
      93. 0.227396013792144
        94. \n", + "\t
      94. 0.226793190967033
        95. \n", + "\t
      95. 0.282186904123756
        96. \n", + "\t
      96. 0.34430715325527
        97. \n", + "\t
      97. 0.170251124950075
        98. \n", + "\t
      98. 0.184569219786148
        99. \n", + "\t
      99. 0.284110556781286
        100. \n", + "\t
      100. 0.342486303876412
        101. \n", + "
      \n", + "
      46. \n", + "\t
      46. \n", + "\t
      1. 0.124613535301034
        2. \n", + "\t
      2. 0.216358931131565
        3. \n", + "\t
      3. 0.25428026717726
        4. \n", + "\t
      4. 0.170738109686812
        5. \n", + "\t
      5. 0.309782079742541
        6. \n", + "\t
      6. 0.303672186385469
        7. \n", + "\t
      7. 0.162794967083108
        8. \n", + "\t
      8. 0.215051196443008
        9. \n", + "\t
      9. 0.213814750579627
        10. \n", + "\t
      10. 0.28115334407317
        11. \n", + "\t
      11. 0.0947901874920895
        12. \n", + "\t
      12. 0.168319845570565
        13. \n", + "\t
      13. 0.223781208403931
        14. \n", + "\t
      14. 0.212679365282867
        15. \n", + "\t
      15. 0.102927889956587
        16. \n", + "\t
      16. 0.0992116384990963
        17. \n", + "\t
      17. 0.306895440783118
        18. \n", + "\t
      18. 0.23846003867011
        19. \n", + "\t
      19. 0.30848801984845
        20. \n", + "\t
      20. 0.260830886043809
        21. \n", + "\t
      21. 0.283934553970088
        22. \n", + "\t
      22. 0.270552534947696
        23. \n", + "\t
      23. 0.262253570805536
        24. \n", + "\t
      24. 0.220830309616752
        25. \n", + "\t
      25. 0.368000782940223
        26. \n", + "\t
      26. 0.170513078394312
        27. \n", + "\t
      27. 0.358230393644017
        28. \n", + "\t
      28. 0.135260815428478
        29. \n", + "\t
      29. 0.266434632323605
        30. \n", + "\t
      30. 0.252641441753561
        31. \n", + "\t
      31. 0.336403715770415
        32. \n", + "\t
      32. 0.213022703716752
        33. \n", + "\t
      33. 0.119925337826289
        34. \n", + "\t
      34. 0.237530249250553
        35. \n", + "\t
      35. 0.245529956867146
        36. \n", + "\t
      36. 0.35376383846677
        37. \n", + "\t
      37. 0.305159601700412
        38. \n", + "\t
      38. 0.22682765057142
        39. \n", + "\t
      39. 0.175220675482495
        40. \n", + "\t
      40. 0.10868471600859
        41. \n", + "\t
      41. 0.263028431745754
        42. \n", + "\t
      42. 0.351067134509221
        43. \n", + "\t
      43. 0.245843825741522
        44. \n", + "\t
      44. 0.342880535381192
        45. \n", + "\t
      45. 0.274060050198977
        46. \n", + "\t
      46. 0.162003802973969
        47. \n", + "\t
      47. 0.328424583956021
        48. \n", + "\t
      48. 0.191942177458055
        49. \n", + "\t
      49. 0.261987930845214
        50. \n", + "\t
      50. 0.149455943173017
        51. \n", + "\t
      51. 0.329311601679143
        52. \n", + "\t
      52. 0.174662843930787
        53. \n", + "\t
      53. 0.221259502012122
        54. \n", + "\t
      54. 0.175101395920227
        55. \n", + "\t
      55. 0.18840655356465
        56. \n", + "\t
      56. 0.241750595396771
        57. \n", + "\t
      57. 0.161165926674001
        58. \n", + "\t
      58. 0.313893353255397
        59. \n", + "\t
      59. 0.273248797687073
        60. \n", + "\t
      60. 0.227038153086951
        61. \n", + "\t
      61. 0.377852052553345
        62. \n", + "\t
      62. 0.165173414521537
        63. \n", + "\t
      63. 0.280523189962705
        64. \n", + "\t
      64. 0.318976887940898
        65. \n", + "\t
      65. 0.171863228147354
        66. \n", + "\t
      66. 0.254281775484912
        67. \n", + "\t
      67. 0.379639083355705
        68. \n", + "\t
      68. 0.247846514134078
        69. \n", + "\t
      69. 0.235752918519952
        70. \n", + "\t
      70. 0.378146337855956
        71. \n", + "\t
      71. 0.222140450447865
        72. \n", + "\t
      72. 0.290276916045147
        73. \n", + "\t
      73. 0.237528655570179
        74. \n", + "\t
      74. 0.124801627072528
        75. \n", + "\t
      75. 0.27630675364415
        76. \n", + "\t
      76. 0.182584766420062
        77. \n", + "\t
      77. 0.217347382021336
        78. \n", + "\t
      78. 0.251515030965466
        79. \n", + "\t
      79. 0.195058228845568
        80. \n", + "\t
      80. 0.355281189330171
        81. \n", + "\t
      81. 0.335477851203327
        82. \n", + "\t
      82. 0.230467147389174
        83. \n", + "\t
      83. 0.367636489892
        84. \n", + "\t
      84. 0.262910347032135
        85. \n", + "\t
      85. 0.265165933305843
        86. \n", + "\t
      86. 0.370855895547144
        87. \n", + "\t
      87. 0.319470569044547
        88. \n", + "\t
      88. 0.276665837940095
        89. \n", + "\t
      89. 0.303819824947051
        90. \n", + "\t
      90. 0.235272722024338
        91. \n", + "\t
      91. 0.417189400202027
        92. \n", + "\t
      92. 0.274395802203762
        93. \n", + "\t
      93. 0.291257120125178
        94. \n", + "\t
      94. 0.223068154522617
        95. \n", + "\t
      95. 0.152808320495521
        96. \n", + "\t
      96. 0.278252648432656
        97. \n", + "\t
      97. 0.207974882791103
        98. \n", + "\t
      98. 0.14541695994918
        99. \n", + "\t
      99. 0.168190169781754
        100. \n", + "\t
      100. 0.164254055078581
        101. \n", + "
      \n", + "
      47. \n", + "\t
      47. \n", + "\t
      1. 0.202833074485451
        2. \n", + "\t
      2. 0.333248975311804
        3. \n", + "\t
      3. 0.172892723132305
        4. \n", + "\t
      4. 0.275634139649902
        5. \n", + "\t
      5. 0.211937703837638
        6. \n", + "\t
      6. 0.211256159892082
        7. \n", + "\t
      7. 0.274615883897793
        8. \n", + "\t
      8. 0.21288266102663
        9. \n", + "\t
      9. 0.141652335081892
        10. \n", + "\t
      10. 0.217117127453156
        11. \n", + "\t
      11. 0.303688161931177
        12. \n", + "\t
      12. 0.159438125231746
        13. \n", + "\t
      13. 0.190192453864982
        14. \n", + "\t
      14. 0.27458353353572
        15. \n", + "\t
      15. 0.25834669008635
        16. \n", + "\t
      16. 0.237471528150282
        17. \n", + "\t
      17. 0.233488806664184
        18. \n", + "\t
      18. 0.244437950459463
        19. \n", + "\t
      19. 0.247642562401993
        20. \n", + "\t
      20. 0.204405810438933
        21. \n", + "\t
      21. 0.387418920929071
        22. \n", + "\t
      22. 0.294295407452317
        23. \n", + "\t
      23. 0.375597148270042
        24. \n", + "\t
      24. 0.172113900061115
        25. \n", + "\t
      25. 0.251264354108665
        26. \n", + "\t
      26. 0.278602124317868
        27. \n", + "\t
      27. 0.203425349174999
        28. \n", + "\t
      28. 0.154280103403446
        29. \n", + "\t
      29. 0.258167123288345
        30. \n", + "\t
      30. 0.20350895790963
        31. \n", + "\t
      31. 0.265004954578649
        32. \n", + "\t
      32. 0.236744270491585
        33. \n", + "\t
      33. 0.30676405950192
        34. \n", + "\t
      34. 0.156681543502932
        35. \n", + "\t
      35. 0.196143285709197
        36. \n", + "\t
      36. 0.278843402733888
        37. \n", + "\t
      37. 0.248192969277553
        38. \n", + "\t
      38. 0.255509018971874
        39. \n", + "\t
      39. 0.145346898165955
        40. \n", + "\t
      40. 0.422772649839643
        41. \n", + "\t
      41. 0.247416159473859
        42. \n", + "\t
      42. 0.289353512670817
        43. \n", + "\t
      43. 0.271939222554911
        44. \n", + "\t
      44. 0.108708163230378
        45. \n", + "\t
      45. 0.316844398153389
        46. \n", + "\t
      46. 0.146699838820825
        47. \n", + "\t
      47. 0.275333867733502
        48. \n", + "\t
      48. 0.28932579711365
        49. \n", + "\t
      49. 0.29806630296363
        50. \n", + "\t
      50. 0.288018120092514
        51. \n", + "\t
      51. 0.160621188538986
        52. \n", + "\t
      52. 0.226433645061881
        53. \n", + "\t
      53. 0.12025310939729
        54. \n", + "\t
      54. 0.222451991522628
        55. \n", + "\t
      55. 0.328129725015544
        56. \n", + "\t
      56. 0.11429905825154
        57. \n", + "\t
      57. 0.316266578066947
        58. \n", + "\t
      58. 0.296780589530386
        59. \n", + "\t
      59. 0.253508426832677
        60. \n", + "\t
      60. 0.416700899888421
        61. \n", + "\t
      61. 0.244862950911815
        62. \n", + "\t
      62. 0.232472458416392
        63. \n", + "\t
      63. 0.309504906304929
        64. \n", + "\t
      64. 0.268877032486796
        65. \n", + "\t
      65. 0.318391822474013
        66. \n", + "\t
      66. 0.1796863217097
        67. \n", + "\t
      67. 0.141162333682065
        68. \n", + "\t
      68. 0.275155065863101
        69. \n", + "\t
      69. 0.166344803725054
        70. \n", + "\t
      70. 0.245928128417004
        71. \n", + "\t
      71. 0.219721759019153
        72. \n", + "\t
      72. 0.179115659448871
        73. \n", + "\t
      73. 0.101412545795651
        74. \n", + "\t
      74. 0.204490710983167
        75. \n", + "\t
      75. 0.185936049056286
        76. \n", + "\t
      76. 0.229222294051892
        77. \n", + "\t
      77. 0.339512412331664
        78. \n", + "\t
      78. 0.189501587139564
        79. \n", + "\t
      79. 0.201531980783677
        80. \n", + "\t
      80. 0.136022402795776
        81. \n", + "\t
      81. 0.149433569225739
        82. \n", + "\t
      82. 0.416405775832458
        83. \n", + "\t
      83. 0.104030746078192
        84. \n", + "\t
      84. 0.284950173784436
        85. \n", + "\t
      85. 0.301384144034417
        86. \n", + "\t
      86. 0.156271597065225
        87. \n", + "\t
      87. 0.246063494782256
        88. \n", + "\t
      88. 0.228699644742939
        89. \n", + "\t
      89. 0.215393916911341
        90. \n", + "\t
      90. 0.14449394878738
        91. \n", + "\t
      91. 0.218097676809671
        92. \n", + "\t
      92. 0.238920356563844
        93. \n", + "\t
      93. 0.299656544025223
        94. \n", + "\t
      94. 0.263017961848741
        95. \n", + "\t
      95. 0.0944285928906044
        96. \n", + "\t
      96. 0.220689777903615
        97. \n", + "\t
      97. 0.149400946643074
        98. \n", + "\t
      98. 0.175050042520813
        99. \n", + "\t
      99. 0.325741059464161
        100. \n", + "\t
      100. 0.271712240513701
        101. \n", + "
      \n", + "
      48. \n", + "\t
      48. \n", + "\t
      1. 0.275938107189322
        2. \n", + "\t
      2. 0.225555073264919
        3. \n", + "\t
      3. 0.293429389586289
        4. \n", + "\t
      4. 0.255842735729067
        5. \n", + "\t
      5. 0.290004927637627
        6. \n", + "\t
      6. 0.259087576846355
        7. \n", + "\t
      7. 0.405302153629692
        8. \n", + "\t
      8. 0.409160070076576
        9. \n", + "\t
      9. 0.195253901379574
        10. \n", + "\t
      10. 0.227276855507877
        11. \n", + "\t
      11. 0.219870765542252
        12. \n", + "\t
      12. 0.341567294418344
        13. \n", + "\t
      13. 0.17874049004643
        14. \n", + "\t
      14. 0.342093415005517
        15. \n", + "\t
      15. 0.196300532561108
        16. \n", + "\t
      16. 0.257641266552123
        17. \n", + "\t
      17. 0.219819190727828
        18. \n", + "\t
      18. 0.395830208790669
        19. \n", + "\t
      19. 0.183750006455367
        20. \n", + "\t
      20. 0.190145240293152
        21. \n", + "\t
      21. 0.309894154922664
        22. \n", + "\t
      22. 0.23018617879447
        23. \n", + "\t
      23. 0.232449148931828
        24. \n", + "\t
      24. 0.282123565675154
        25. \n", + "\t
      25. 0.216615092802209
        26. \n", + "\t
      26. 0.150419734450832
        27. \n", + "\t
      27. 0.217349850008853
        28. \n", + "\t
      28. 0.353471075952047
        29. \n", + "\t
      29. 0.297326179340123
        30. \n", + "\t
      30. 0.162491833224109
        31. \n", + "\t
      31. 0.243235389766438
        32. \n", + "\t
      32. 0.122373092672292
        33. \n", + "\t
      33. 0.371045992140005
        34. \n", + "\t
      34. 0.307147570952846
        35. \n", + "\t
      35. 0.234132280497362
        36. \n", + "\t
      36. 0.227034106539811
        37. \n", + "\t
      37. 0.203115464406202
        38. \n", + "\t
      38. 0.179151211814196
        39. \n", + "\t
      39. 0.323490250927894
        40. \n", + "\t
      40. 0.24730975335138
        41. \n", + "\t
      41. 0.215220171160422
        42. \n", + "\t
      42. 0.248070133724099
        43. \n", + "\t
      43. 0.240786452918612
        44. \n", + "\t
      44. 0.255249574907338
        45. \n", + "\t
      45. 0.315078511288599
        46. \n", + "\t
      46. 0.122878684669766
        47. \n", + "\t
      47. 0.203906486944094
        48. \n", + "\t
      48. 0.172834924598401
        49. \n", + "\t
      49. 0.200827724874881
        50. \n", + "\t
      50. 0.171851144429823
        51. \n", + "\t
      51. 0.355749281729985
        52. \n", + "\t
      52. 0.223489968198166
        53. \n", + "\t
      53. 0.192910629057141
        54. \n", + "\t
      54. 0.382395701310544
        55. \n", + "\t
      55. 0.322047943199382
        56. \n", + "\t
      56. 0.249745243455206
        57. \n", + "\t
      57. 0.322144509466031
        58. \n", + "\t
      58. 0.178155080042733
        59. \n", + "\t
      59. 0.258235687426575
        60. \n", + "\t
      60. 0.190652236443327
        61. \n", + "\t
      61. 0.114688554167419
        62. \n", + "\t
      62. 0.306804308202621
        63. \n", + "\t
      63. 0.270683638290994
        64. \n", + "\t
      64. 0.199443167278276
        65. \n", + "\t
      65. 0.185183749605199
        66. \n", + "\t
      66. 0.162291400400019
        67. \n", + "\t
      67. 0.347894694152303
        68. \n", + "\t
      68. 0.375554922084942
        69. \n", + "\t
      69. 0.218832836940108
        70. \n", + "\t
      70. 0.105545695147838
        71. \n", + "\t
      71. 0.475339733793853
        72. \n", + "\t
      72. 0.179370740702789
        73. \n", + "\t
      73. 0.263119190113707
        74. \n", + "\t
      74. 0.224695056305788
        75. \n", + "\t
      75. 0.263258667235669
        76. \n", + "\t
      76. 0.212422599838768
        77. \n", + "\t
      77. 0.291016009875545
        78. \n", + "\t
      78. 0.320341007134207
        79. \n", + "\t
      79. 0.303182682210423
        80. \n", + "\t
      80. 0.193973382028535
        81. \n", + "\t
      81. 0.208043473259
        82. \n", + "\t
      82. 0.190918724223042
        83. \n", + "\t
      83. 0.35351458318065
        84. \n", + "\t
      84. 0.168756609979126
        85. \n", + "\t
      85. 0.146297173213221
        86. \n", + "\t
      86. 0.290048638931274
        87. \n", + "\t
      87. 0.247418016288166
        88. \n", + "\t
      88. 0.394470696254499
        89. \n", + "\t
      89. 0.330351483626851
        90. \n", + "\t
      90. 0.193767400000173
        91. \n", + "\t
      91. 0.186440614474148
        92. \n", + "\t
      92. 0.206776257873879
        93. \n", + "\t
      93. 0.20098526053199
        94. \n", + "\t
      94. 0.170197087832046
        95. \n", + "\t
      95. 0.181639616971991
        96. \n", + "\t
      96. 0.249272752555376
        97. \n", + "\t
      97. 0.291781907043545
        98. \n", + "\t
      98. 0.18823656152787
        99. \n", + "\t
      99. 0.0767854142874085
        100. \n", + "\t
      100. 0.235036401627567
        101. \n", + "
      \n", + "
      49. \n", + "\t
      49. \n", + "\t
      1. 0.1961298650715
        2. \n", + "\t
      2. 0.240094879617299
        3. \n", + "\t
      3. 0.202807232679814
        4. \n", + "\t
      4. 0.183844689594941
        5. \n", + "\t
      5. 0.134442608392287
        6. \n", + "\t
      6. 0.301617810755324
        7. \n", + "\t
      7. 0.279396988962999
        8. \n", + "\t
      8. 0.213895602746982
        9. \n", + "\t
      9. 0.192566275707342
        10. \n", + "\t
      10. 0.182176664507136
        11. \n", + "\t
      11. 0.283646296642257
        12. \n", + "\t
      12. 0.152823739523163
        13. \n", + "\t
      13. 0.316508393925907
        14. \n", + "\t
      14. 0.227730905551271
        15. \n", + "\t
      15. 0.244229005517108
        16. \n", + "\t
      16. 0.102231871907223
        17. \n", + "\t
      17. 0.258637207556758
        18. \n", + "\t
      18. 0.224270029573941
        19. \n", + "\t
      19. 0.292116590532502
        20. \n", + "\t
      20. 0.353437010654482
        21. \n", + "\t
      21. 0.307803715237503
        22. \n", + "\t
      22. 0.217554781004835
        23. \n", + "\t
      23. 0.205721480932573
        24. \n", + "\t
      24. 0.198951098078049
        25. \n", + "\t
      25. 0.303545748687044
        26. \n", + "\t
      26. 0.198485855772333
        27. \n", + "\t
      27. 0.104277515255608
        28. \n", + "\t
      28. 0.211624161995421
        29. \n", + "\t
      29. 0.242123792863678
        30. \n", + "\t
      30. 0.213805921825549
        31. \n", + "\t
      31. 0.309494336442496
        32. \n", + "\t
      32. 0.311700215221333
        33. \n", + "\t
      33. 0.258487753017037
        34. \n", + "\t
      34. 0.229917022511868
        35. \n", + "\t
      35. 0.256953627615351
        36. \n", + "\t
      36. 0.242669127993739
        37. \n", + "\t
      37. 0.292945895281298
        38. \n", + "\t
      38. 0.112497899712693
        39. \n", + "\t
      39. 0.274783684345599
        40. \n", + "\t
      40. 0.203290476895569
        41. \n", + "\t
      41. 0.35848632799526
        42. \n", + "\t
      42. 0.295779872860561
        43. \n", + "\t
      43. 0.10100577373127
        44. \n", + "\t
      44. 0.264160734166875
        45. \n", + "\t
      45. 0.179309001859987
        46. \n", + "\t
      46. 0.246032505683562
        47. \n", + "\t
      47. 0.173738452305055
        48. \n", + "\t
      48. 0.225535441705455
        49. \n", + "\t
      49. 0.281059737511049
        50. \n", + "\t
      50. 0.225872948473714
        51. \n", + "\t
      51. 0.153488897251008
        52. \n", + "\t
      52. 0.179502367067736
        53. \n", + "\t
      53. 0.15644064764209
        54. \n", + "\t
      54. 0.277409188333166
        55. \n", + "\t
      55. 0.303455102334102
        56. \n", + "\t
      56. 0.221995574806343
        57. \n", + "\t
      57. 0.197026260559248
        58. \n", + "\t
      58. 0.382569725565254
        59. \n", + "\t
      59. 0.262127035468051
        60. \n", + "\t
      60. 0.314554634014866
        61. \n", + "\t
      61. 0.155324267002014
        62. \n", + "\t
      62. 0.194515452610571
        63. \n", + "\t
      63. 0.310704488883197
        64. \n", + "\t
      64. 0.161927603602451
        65. \n", + "\t
      65. 0.150843322833709
        66. \n", + "\t
      66. 0.147972441299755
        67. \n", + "\t
      67. 0.223253757981224
        68. \n", + "\t
      68. 0.172411435024257
        69. \n", + "\t
      69. 0.17260282054578
        70. \n", + "\t
      70. 0.18712088242821
        71. \n", + "\t
      71. 0.208229179792985
        72. \n", + "\t
      72. 0.10761866462364
        73. \n", + "\t
      73. 0.257880896316459
        74. \n", + "\t
      74. 0.340790508307784
        75. \n", + "\t
      75. 0.227908116933928
        76. \n", + "\t
      76. 0.214973701541422
        77. \n", + "\t
      77. 0.250889885856847
        78. \n", + "\t
      78. 0.0867985835011673
        79. \n", + "\t
      79. 0.323095624984446
        80. \n", + "\t
      80. 0.10759718204953
        81. \n", + "\t
      81. 0.307925243094131
        82. \n", + "\t
      82. 0.216580796765875
        83. \n", + "\t
      83. 0.140422642353007
        84. \n", + "\t
      84. 0.161605776358229
        85. \n", + "\t
      85. 0.248411169026855
        86. \n", + "\t
      86. 0.138748903166355
        87. \n", + "\t
      87. 0.169889338580893
        88. \n", + "\t
      88. 0.189157942488824
        89. \n", + "\t
      89. 0.193648555885255
        90. \n", + "\t
      90. 0.23050451712426
        91. \n", + "\t
      91. 0.194349635690898
        92. \n", + "\t
      92. 0.215587156493712
        93. \n", + "\t
      93. 0.200158295481142
        94. \n", + "\t
      94. 0.194097486720389
        95. \n", + "\t
      95. 0.14383866856443
        96. \n", + "\t
      96. 0.130326043403181
        97. \n", + "\t
      97. 0.293843166598442
        98. \n", + "\t
      98. 0.118976021849531
        99. \n", + "\t
      99. 0.227476502252967
        100. \n", + "\t
      100. 0.234716455858685
        101. \n", + "
      \n", + "
      50. \n", + "\t
      50. \n", + "\t
      1. 0.281771601755142
        2. \n", + "\t
      2. 0.326611059472695
        3. \n", + "\t
      3. 0.294263861845795
        4. \n", + "\t
      4. 0.272464329804017
        5. \n", + "\t
      5. 0.288758872422233
        6. \n", + "\t
      6. 0.25390529649458
        7. \n", + "\t
      7. 0.353773519981496
        8. \n", + "\t
      8. 0.331940228749679
        9. \n", + "\t
      9. 0.490826597849803
        10. \n", + "\t
      10. 0.315638763166034
        11. \n", + "\t
      11. 0.17698028843623
        12. \n", + "\t
      12. 0.25833552464125
        13. \n", + "\t
      13. 0.524389160140072
        14. \n", + "\t
      14. 0.190855806871292
        15. \n", + "\t
      15. 0.373457899390081
        16. \n", + "\t
      16. 0.253722571909635
        17. \n", + "\t
      17. 0.285901652774749
        18. \n", + "\t
      18. 0.286907481934757
        19. \n", + "\t
      19. 0.242395472581306
        20. \n", + "\t
      20. 0.225271765706931
        21. \n", + "\t
      21. 0.321170547868082
        22. \n", + "\t
      22. 0.339200672616648
        23. \n", + "\t
      23. 0.252544464075792
        24. \n", + "\t
      24. 0.260386692856808
        25. \n", + "\t
      25. 0.237417616789137
        26. \n", + "\t
      26. 0.202121617717613
        27. \n", + "\t
      27. 0.305935410522029
        28. \n", + "\t
      28. 0.333998890576926
        29. \n", + "\t
      29. 0.393245240053726
        30. \n", + "\t
      30. 0.271832497173036
        31. \n", + "\t
      31. 0.16684953017815
        32. \n", + "\t
      32. 0.308475899291963
        33. \n", + "\t
      33. 0.307390700385285
        34. \n", + "\t
      34. 0.180593741633139
        35. \n", + "\t
      35. 0.205712476250078
        36. \n", + "\t
      36. 0.286641613215578
        37. \n", + "\t
      37. 0.20184805869917
        38. \n", + "\t
      38. 0.237223991616039
        39. \n", + "\t
      39. 0.330607501193695
        40. \n", + "\t
      40. 0.249615613983241
        41. \n", + "\t
      41. 0.209127563329569
        42. \n", + "\t
      42. 0.284698677822263
        43. \n", + "\t
      43. 0.28775599075779
        44. \n", + "\t
      44. 0.28506608698602
        45. \n", + "\t
      45. 0.17798247128418
        46. \n", + "\t
      46. 0.245730187620068
        47. \n", + "\t
      47. 0.177216358351483
        48. \n", + "\t
      48. 0.433170732671639
        49. \n", + "\t
      49. 0.336242120877284
        50. \n", + "\t
      50. 0.216739976911541
        51. \n", + "\t
      51. 0.231263460052332
        52. \n", + "\t
      52. 0.213531290225727
        53. \n", + "\t
      53. 0.311442574274451
        54. \n", + "\t
      54. 0.244590376582228
        55. \n", + "\t
      55. 0.352554834138125
        56. \n", + "\t
      56. 0.280791250497283
        57. \n", + "\t
      57. 0.232168054997422
        58. \n", + "\t
      58. 0.402888336977527
        59. \n", + "\t
      59. 0.342935898073754
        60. \n", + "\t
      60. 0.285668042963285
        61. \n", + "\t
      61. 0.306697422275834
        62. \n", + "\t
      62. 0.253672967750349
        63. \n", + "\t
      63. 0.298228434106973
        64. \n", + "\t
      64. 0.153861005293402
        65. \n", + "\t
      65. 0.324095283427064
        66. \n", + "\t
      66. 0.24358699020597
        67. \n", + "\t
      67. 0.246268357842985
        68. \n", + "\t
      68. 0.334347008068743
        69. \n", + "\t
      69. 0.463190260211072
        70. \n", + "\t
      70. 0.245434785464224
        71. \n", + "\t
      71. 0.256165171614681
        72. \n", + "\t
      72. 0.455857010531152
        73. \n", + "\t
      73. 0.419381776074789
        74. \n", + "\t
      74. 0.418993717429575
        75. \n", + "\t
      75. 0.250891889010833
        76. \n", + "\t
      76. 0.223946353550153
        77. \n", + "\t
      77. 0.248469037155332
        78. \n", + "\t
      78. 0.294853309878837
        79. \n", + "\t
      79. 0.250487093966115
        80. \n", + "\t
      80. 0.171321721162295
        81. \n", + "\t
      81. 0.285701354628899
        82. \n", + "\t
      82. 0.225507489968189
        83. \n", + "\t
      83. 0.264590821442558
        84. \n", + "\t
      84. 0.146888668661419
        85. \n", + "\t
      85. 0.279239716673006
        86. \n", + "\t
      86. 0.271406432196256
        87. \n", + "\t
      87. 0.121820870456109
        88. \n", + "\t
      88. 0.29248931418463
        89. \n", + "\t
      89. 0.175665602808759
        90. \n", + "\t
      90. 0.272919586398392
        91. \n", + "\t
      91. 0.342007297663186
        92. \n", + "\t
      92. 0.353478455047913
        93. \n", + "\t
      93. 0.230254081911289
        94. \n", + "\t
      94. 0.281469585196462
        95. \n", + "\t
      95. 0.239974909762388
        96. \n", + "\t
      96. 0.297848884421646
        97. \n", + "\t
      97. 0.282149593333268
        98. \n", + "\t
      98. 0.241656803290328
        99. \n", + "\t
      99. 0.216072194641761
        100. \n", + "\t
      100. 0.302879859185157
        101. \n", + "
      \n", + "
      51. \n", + "\t
      51. \n", + "\t
      1. 0.178015665076832
        2. \n", + "\t
      2. 0.156855754174583
        3. \n", + "\t
      3. 0.216443474045979
        4. \n", + "\t
      4. 0.101661920709096
        5. \n", + "\t
      5. 0.180329841354508
        6. \n", + "\t
      6. 0.203879189323149
        7. \n", + "\t
      7. 0.16329319375935
        8. \n", + "\t
      8. 0.259524478636343
        9. \n", + "\t
      9. 0.307348617825097
        10. \n", + "\t
      10. 0.142440564780707
        11. \n", + "\t
      11. 0.323745484757926
        12. \n", + "\t
      12. 0.15967435985485
        13. \n", + "\t
      13. 0.255179215261148
        14. \n", + "\t
      14. 0.160549501540549
        15. \n", + "\t
      15. 0.225916022156365
        16. \n", + "\t
      16. 0.380034103791088
        17. \n", + "\t
      17. 0.219163020233963
        18. \n", + "\t
      18. 0.282550821909985
        19. \n", + "\t
      19. 0.252165405264756
        20. \n", + "\t
      20. 0.211176298622533
        21. \n", + "\t
      21. 0.119628685910999
        22. \n", + "\t
      22. 0.279830202039092
        23. \n", + "\t
      23. 0.116171361692203
        24. \n", + "\t
      24. 0.158105060447411
        25. \n", + "\t
      25. 0.131066916532934
        26. \n", + "\t
      26. 0.397844692345502
        27. \n", + "\t
      27. 0.251917196632476
        28. \n", + "\t
      28. 0.280106663733561
        29. \n", + "\t
      29. 0.280513519607245
        30. \n", + "\t
      30. 0.138351522903484
        31. \n", + "\t
      31. 0.286553715013429
        32. \n", + "\t
      32. 0.224659832705366
        33. \n", + "\t
      33. 0.233106738032502
        34. \n", + "\t
      34. 0.182013985506387
        35. \n", + "\t
      35. 0.316679249760881
        36. \n", + "\t
      36. 0.186186816788432
        37. \n", + "\t
      37. 0.298515848328758
        38. \n", + "\t
      38. 0.214073298533606
        39. \n", + "\t
      39. 0.306506747379356
        40. \n", + "\t
      40. 0.12332526815993
        41. \n", + "\t
      41. 0.186319661083034
        42. \n", + "\t
      42. 0.196284717486288
        43. \n", + "\t
      43. 0.320576427612415
        44. \n", + "\t
      44. 0.208971930159574
        45. \n", + "\t
      45. 0.217482982827757
        46. \n", + "\t
      46. 0.172312329985563
        47. \n", + "\t
      47. 0.179833701565315
        48. \n", + "\t
      48. 0.34918147770797
        49. \n", + "\t
      49. 0.211744991543384
        50. \n", + "\t
      50. 0.22429155311103
        51. \n", + "\t
      51. 0.182025213556591
        52. \n", + "\t
      52. 0.225993590117212
        53. \n", + "\t
      53. 0.346366194871054
        54. \n", + "\t
      54. 0.0903185989790574
        55. \n", + "\t
      55. 0.354820060855681
        56. \n", + "\t
      56. 0.335436437318971
        57. \n", + "\t
      57. 0.35149708102309
        58. \n", + "\t
      58. 0.315751842725876
        59. \n", + "\t
      59. 0.310453768887009
        60. \n", + "\t
      60. 0.100099908786149
        61. \n", + "\t
      61. 0.158472061934205
        62. \n", + "\t
      62. 0.274075931347088
        63. \n", + "\t
      63. 0.213236846159346
        64. \n", + "\t
      64. 0.263164346802386
        65. \n", + "\t
      65. 0.193109057152695
        66. \n", + "\t
      66. 0.311937506950871
        67. \n", + "\t
      67. 0.299516854987923
        68. \n", + "\t
      68. 0.118113931163486
        69. \n", + "\t
      69. 0.2656103880116
        70. \n", + "\t
      70. 0.224341480852704
        71. \n", + "\t
      71. 0.153276615541357
        72. \n", + "\t
      72. 0.20293230415735
        73. \n", + "\t
      73. 0.159031745186545
        74. \n", + "\t
      74. 0.246751588904952
        75. \n", + "\t
      75. 0.160576829033353
        76. \n", + "\t
      76. 0.156541310111497
        77. \n", + "\t
      77. 0.285294137929744
        78. \n", + "\t
      78. 0.233922833516766
        79. \n", + "\t
      79. 0.247345940303253
        80. \n", + "\t
      80. 0.306064276222483
        81. \n", + "\t
      81. 0.279602736138391
        82. \n", + "\t
      82. 0.346391329660931
        83. \n", + "\t
      83. 0.174434482610796
        84. \n", + "\t
      84. 0.2190747066369
        85. \n", + "\t
      85. 0.260708316293311
        86. \n", + "\t
      86. 0.31668534867626
        87. \n", + "\t
      87. 0.231369840342309
        88. \n", + "\t
      88. 0.230501381334014
        89. \n", + "\t
      89. 0.34073480487232
        90. \n", + "\t
      90. 0.310981026373199
        91. \n", + "\t
      91. 0.0844032288085267
        92. \n", + "\t
      92. 0.247068631744166
        93. \n", + "\t
      93. 0.197950270172152
        94. \n", + "\t
      94. 0.377008849175088
        95. \n", + "\t
      95. 0.161658568278805
        96. \n", + "\t
      96. 0.282825994186941
        97. \n", + "\t
      97. 0.197707820863739
        98. \n", + "\t
      98. 0.225592914725481
        99. \n", + "\t
      99. 0.285301625447957
        100. \n", + "\t
      100. 0.406658617260599
        101. \n", + "
      \n", + "
      52. \n", + "\t
      52. \n", + "\t
      1. 0.187254499668262
        2. \n", + "\t
      2. 0.171994328000207
        3. \n", + "\t
      3. 0.272578720167164
        4. \n", + "\t
      4. 0.253474030196476
        5. \n", + "\t
      5. 0.191649968228839
        6. \n", + "\t
      6. 0.192986201203637
        7. \n", + "\t
      7. 0.227490696460936
        8. \n", + "\t
      8. 0.24288830693316
        9. \n", + "\t
      9. 0.191950633824074
        10. \n", + "\t
      10. 0.138846164184915
        11. \n", + "\t
      11. 0.114830342372419
        12. \n", + "\t
      12. 0.192489206372075
        13. \n", + "\t
      13. 0.172489154041183
        14. \n", + "\t
      14. 0.236192098919407
        15. \n", + "\t
      15. 0.173520853361668
        16. \n", + "\t
      16. 0.222053499985474
        17. \n", + "\t
      17. 0.260562211653945
        18. \n", + "\t
      18. 0.314141017732543
        19. \n", + "\t
      19. 0.310927992479207
        20. \n", + "\t
      20. 0.361727843957071
        21. \n", + "\t
      21. 0.210448961214982
        22. \n", + "\t
      22. 0.249142758119801
        23. \n", + "\t
      23. 0.222750088737416
        24. \n", + "\t
      24. 0.1754326668916
        25. \n", + "\t
      25. 0.329400410983052
        26. \n", + "\t
      26. 0.170334789610381
        27. \n", + "\t
      27. 0.308378826888732
        28. \n", + "\t
      28. 0.278364137321251
        29. \n", + "\t
      29. 0.225522324631958
        30. \n", + "\t
      30. 0.284284511151826
        31. \n", + "\t
      31. 0.23509783162905
        32. \n", + "\t
      32. 0.295613544717417
        33. \n", + "\t
      33. 0.233227984623129
        34. \n", + "\t
      34. 0.303314992622808
        35. \n", + "\t
      35. 0.246090559688707
        36. \n", + "\t
      36. 0.145096409190444
        37. \n", + "\t
      37. 0.309134424086924
        38. \n", + "\t
      38. 0.259537355147236
        39. \n", + "\t
      39. 0.269567033413905
        40. \n", + "\t
      40. 0.289502656038459
        41. \n", + "\t
      41. 0.211102794989288
        42. \n", + "\t
      42. 0.225510488948108
        43. \n", + "\t
      43. 0.320781197743495
        44. \n", + "\t
      44. 0.309274960404667
        45. \n", + "\t
      45. 0.205850307666652
        46. \n", + "\t
      46. 0.263088207521231
        47. \n", + "\t
      47. 0.217452213594574
        48. \n", + "\t
      48. 0.421529292332679
        49. \n", + "\t
      49. 0.0739764754486255
        50. \n", + "\t
      50. 0.265271242304806
        51. \n", + "\t
      51. 0.225930771438621
        52. \n", + "\t
      52. 0.333304308471311
        53. \n", + "\t
      53. 0.3341619997118
        54. \n", + "\t
      54. 0.170384688854079
        55. \n", + "\t
      55. 0.296897106059932
        56. \n", + "\t
      56. 0.143533236762045
        57. \n", + "\t
      57. 0.172584910279558
        58. \n", + "\t
      58. 0.226225816768494
        59. \n", + "\t
      59. 0.202941044004414
        60. \n", + "\t
      60. 0.131716437636675
        61. \n", + "\t
      61. 0.259443923904112
        62. \n", + "\t
      62. 0.310448172651669
        63. \n", + "\t
      63. 0.260675472343975
        64. \n", + "\t
      64. 0.302920287944636
        65. \n", + "\t
      65. 0.215030297132857
        66. \n", + "\t
      66. 0.154963967167124
        67. \n", + "\t
      67. 0.170352385002559
        68. \n", + "\t
      68. 0.161118955014387
        69. \n", + "\t
      69. 0.136943757336812
        70. \n", + "\t
      70. 0.308443573553623
        71. \n", + "\t
      71. 0.0958303627291011
        72. \n", + "\t
      72. 0.329125380060305
        73. \n", + "\t
      73. 0.266316276400458
        74. \n", + "\t
      74. 0.292715272950323
        75. \n", + "\t
      75. 0.274759127704489
        76. \n", + "\t
      76. 0.309213604983321
        77. \n", + "\t
      77. 0.181319934586898
        78. \n", + "\t
      78. 0.258124521040613
        79. \n", + "\t
      79. 0.193970458085687
        80. \n", + "\t
      80. 0.397482418936063
        81. \n", + "\t
      81. 0.238603214668881
        82. \n", + "\t
      82. 0.102777536556661
        83. \n", + "\t
      83. 0.307797327011316
        84. \n", + "\t
      84. 0.344468305520312
        85. \n", + "\t
      85. 0.324710020872319
        86. \n", + "\t
      86. 0.187760166792473
        87. \n", + "\t
      87. 0.198430411256933
        88. \n", + "\t
      88. 0.206926776415177
        89. \n", + "\t
      89. 0.235885038169071
        90. \n", + "\t
      90. 0.314827353954076
        91. \n", + "\t
      91. 0.327244969063064
        92. \n", + "\t
      92. 0.211710796375391
        93. \n", + "\t
      93. 0.182271976186011
        94. \n", + "\t
      94. 0.0474815960202031
        95. \n", + "\t
      95. 0.377031679199571
        96. \n", + "\t
      96. 0.306986764197161
        97. \n", + "\t
      97. 0.221773367946513
        98. \n", + "\t
      98. 0.324741378651145
        99. \n", + "\t
      99. 0.376735340075282
        100. \n", + "\t
      100. 0.259330469273513
        101. \n", + "
      \n", + "
      53. \n", + "\t
      53. \n", + "\t
      1. 0.209281054448276
        2. \n", + "\t
      2. 0.223173810692096
        3. \n", + "\t
      3. 0.199997970949689
        4. \n", + "\t
      4. 0.172573258977447
        5. \n", + "\t
      5. 0.253842123591882
        6. \n", + "\t
      6. 0.247628175015259
        7. \n", + "\t
      7. 0.260902928781868
        8. \n", + "\t
      8. 0.239371185975561
        9. \n", + "\t
      9. 0.152322446248572
        10. \n", + "\t
      10. 0.253784602726031
        11. \n", + "\t
      11. 0.285139515664445
        12. \n", + "\t
      12. 0.200407119046086
        13. \n", + "\t
      13. 0.225911757046887
        14. \n", + "\t
      14. 0.287248688089642
        15. \n", + "\t
      15. 0.280815095997386
        16. \n", + "\t
      16. 0.329017806975477
        17. \n", + "\t
      17. 0.221290384990176
        18. \n", + "\t
      18. 0.391091390109188
        19. \n", + "\t
      19. 0.26653531380981
        20. \n", + "\t
      20. 0.22985179050102
        21. \n", + "\t
      21. 0.306046359302208
        22. \n", + "\t
      22. 0.284242706820644
        23. \n", + "\t
      23. 0.165108409145988
        24. \n", + "\t
      24. 0.218095318432371
        25. \n", + "\t
      25. 0.334297791518078
        26. \n", + "\t
      26. 0.126595718735191
        27. \n", + "\t
      27. 0.306705545094417
        28. \n", + "\t
      28. 0.265488200798949
        29. \n", + "\t
      29. 0.211262917572575
        30. \n", + "\t
      30. 0.386365100615755
        31. \n", + "\t
      31. 0.212353792584633
        32. \n", + "\t
      32. 0.215451234205519
        33. \n", + "\t
      33. 0.133011209768307
        34. \n", + "\t
      34. 0.346625600685951
        35. \n", + "\t
      35. 0.152019555531459
        36. \n", + "\t
      36. 0.313445540453826
        37. \n", + "\t
      37. 0.211393928624309
        38. \n", + "\t
      38. 0.264089924670353
        39. \n", + "\t
      39. 0.269062090030616
        40. \n", + "\t
      40. 0.367647142693423
        41. \n", + "\t
      41. 0.297398672163054
        42. \n", + "\t
      42. 0.308922225188961
        43. \n", + "\t
      43. 0.361461724079713
        44. \n", + "\t
      44. 0.168704885945969
        45. \n", + "\t
      45. 0.204601400616753
        46. \n", + "\t
      46. 0.225686480321713
        47. \n", + "\t
      47. 0.16985793542517
        48. \n", + "\t
      48. 0.338942414762882
        49. \n", + "\t
      49. 0.380206560215206
        50. \n", + "\t
      50. 0.389769864573597
        51. \n", + "\t
      51. 0.358892241867133
        52. \n", + "\t
      52. 0.281569048548769
        53. \n", + "\t
      53. 0.272934030763627
        54. \n", + "\t
      54. 0.168829141665975
        55. \n", + "\t
      55. 0.27615837867646
        56. \n", + "\t
      56. 0.217438605321982
        57. \n", + "\t
      57. 0.368922071710345
        58. \n", + "\t
      58. 0.22192069695701
        59. \n", + "\t
      59. 0.359216859194158
        60. \n", + "\t
      60. 0.259040476178829
        61. \n", + "\t
      61. 0.28668018175736
        62. \n", + "\t
      62. 0.265031714784874
        63. \n", + "\t
      63. 0.205616138784185
        64. \n", + "\t
      64. 0.209347020625847
        65. \n", + "\t
      65. 0.413516483929263
        66. \n", + "\t
      66. 0.371280255288463
        67. \n", + "\t
      67. 0.175825022492336
        68. \n", + "\t
      68. 0.303672455663157
        69. \n", + "\t
      69. 0.187179077671056
        70. \n", + "\t
      70. 0.129911859492218
        71. \n", + "\t
      71. 0.241122894144102
        72. \n", + "\t
      72. 0.299390138536607
        73. \n", + "\t
      73. 0.232772839268251
        74. \n", + "\t
      74. 0.151761360446832
        75. \n", + "\t
      75. 0.190001387437247
        76. \n", + "\t
      76. 0.301866929948414
        77. \n", + "\t
      77. 0.240225649368484
        78. \n", + "\t
      78. 0.356488468378446
        79. \n", + "\t
      79. 0.25275083682302
        80. \n", + "\t
      80. 0.183517278670801
        81. \n", + "\t
      81. 0.230155582196402
        82. \n", + "\t
      82. 0.370847483786551
        83. \n", + "\t
      83. 0.244938455732634
        84. \n", + "\t
      84. 0.323378399115197
        85. \n", + "\t
      85. 0.276723926311855
        86. \n", + "\t
      86. 0.228180101657322
        87. \n", + "\t
      87. 0.383486028031045
        88. \n", + "\t
      88. 0.230606661570898
        89. \n", + "\t
      89. 0.412676028371663
        90. \n", + "\t
      90. 0.373489086671371
        91. \n", + "\t
      91. 0.075554050105735
        92. \n", + "\t
      92. 0.226641278236838
        93. \n", + "\t
      93. 0.368797299812429
        94. \n", + "\t
      94. 0.199289677962749
        95. \n", + "\t
      95. 0.284314755228896
        96. \n", + "\t
      96. 0.195512472764617
        97. \n", + "\t
      97. 0.168173563103484
        98. \n", + "\t
      98. 0.298087434204733
        99. \n", + "\t
      99. 0.233681932946835
        100. \n", + "\t
      100. 0.22603210396586
        101. \n", + "
      \n", + "
      54. \n", + "\t
      54. \n", + "\t
      1. 0.223811652409632
        2. \n", + "\t
      2. 0.17706257561082
        3. \n", + "\t
      3. 0.208013448617459
        4. \n", + "\t
      4. 0.257579976965851
        5. \n", + "\t
      5. 0.332750044177974
        6. \n", + "\t
      6. 0.217173834903771
        7. \n", + "\t
      7. 0.306208453479183
        8. \n", + "\t
      8. 0.278170485957438
        9. \n", + "\t
      9. 0.267544221369837
        10. \n", + "\t
      10. 0.221903865910863
        11. \n", + "\t
      11. 0.199482682026184
        12. \n", + "\t
      12. 0.22920458053661
        13. \n", + "\t
      13. 0.237166074456802
        14. \n", + "\t
      14. 0.241178288919439
        15. \n", + "\t
      15. 0.220017510288363
        16. \n", + "\t
      16. 0.298632667664047
        17. \n", + "\t
      17. 0.266545672294022
        18. \n", + "\t
      18. 0.177029466812483
        19. \n", + "\t
      19. 0.378996753544044
        20. \n", + "\t
      20. 0.168834188651539
        21. \n", + "\t
      21. 0.231301963429972
        22. \n", + "\t
      22. 0.239095564418328
        23. \n", + "\t
      23. 0.311721246010085
        24. \n", + "\t
      24. 0.195508046125284
        25. \n", + "\t
      25. 0.145309335918298
        26. \n", + "\t
      26. 0.290081620083733
        27. \n", + "\t
      27. 0.359778934990173
        28. \n", + "\t
      28. 0.246948614548908
        29. \n", + "\t
      29. 0.146167324434938
        30. \n", + "\t
      30. 0.174655821033412
        31. \n", + "\t
      31. 0.355328705018731
        32. \n", + "\t
      32. 0.182018635767327
        33. \n", + "\t
      33. 0.295398909019669
        34. \n", + "\t
      34. 0.214349607619244
        35. \n", + "\t
      35. 0.209036650408953
        36. \n", + "\t
      36. 0.268145719733204
        37. \n", + "\t
      37. 0.356327144683288
        38. \n", + "\t
      38. 0.297995229113355
        39. \n", + "\t
      39. 0.247811442145672
        40. \n", + "\t
      40. 0.318419318849441
        41. \n", + "\t
      41. 0.188922178218293
        42. \n", + "\t
      42. 0.18698006825722
        43. \n", + "\t
      43. 0.207502551067644
        44. \n", + "\t
      44. 0.250842780369357
        45. \n", + "\t
      45. 0.208147498884254
        46. \n", + "\t
      46. 0.388218367304228
        47. \n", + "\t
      47. 0.271407079342014
        48. \n", + "\t
      48. 0.223266857857688
        49. \n", + "\t
      49. 0.267513636936681
        50. \n", + "\t
      50. 0.241659651634216
        51. \n", + "\t
      51. 0.334079132487266
        52. \n", + "\t
      52. 0.266498009421221
        53. \n", + "\t
      53. 0.234426579499263
        54. \n", + "\t
      54. 0.17383573484163
        55. \n", + "\t
      55. 0.231574748055295
        56. \n", + "\t
      56. 0.307345565072339
        57. \n", + "\t
      57. 0.202288073816103
        58. \n", + "\t
      58. 0.357218284218915
        59. \n", + "\t
      59. 0.24524442865068
        60. \n", + "\t
      60. 0.126763340656499
        61. \n", + "\t
      61. 0.153449430865244
        62. \n", + "\t
      62. 0.188621140355418
        63. \n", + "\t
      63. 0.333941910638438
        64. \n", + "\t
      64. 0.353542881380363
        65. \n", + "\t
      65. 0.256393540351436
        66. \n", + "\t
      66. 0.202254876416113
        67. \n", + "\t
      67. 0.355037117153195
        68. \n", + "\t
      68. 0.306905000669833
        69. \n", + "\t
      69. 0.247454760018999
        70. \n", + "\t
      70. 0.256061574609308
        71. \n", + "\t
      71. 0.275852594551792
        72. \n", + "\t
      72. 0.359418231639369
        73. \n", + "\t
      73. 0.336173005333829
        74. \n", + "\t
      74. 0.169941661763454
        75. \n", + "\t
      75. 0.315669773137292
        76. \n", + "\t
      76. 0.118090482069099
        77. \n", + "\t
      77. 0.331061542182552
        78. \n", + "\t
      78. 0.167256740134581
        79. \n", + "\t
      79. 0.280151744394222
        80. \n", + "\t
      80. 0.209618391419788
        81. \n", + "\t
      81. 0.170266610476266
        82. \n", + "\t
      82. 0.247427018072232
        83. \n", + "\t
      83. 0.22628081503928
        84. \n", + "\t
      84. 0.241961930159679
        85. \n", + "\t
      85. 0.303169046802566
        86. \n", + "\t
      86. 0.246059070866476
        87. \n", + "\t
      87. 0.176196437605512
        88. \n", + "\t
      88. 0.360245214213166
        89. \n", + "\t
      89. 0.22616121381595
        90. \n", + "\t
      90. 0.329729180939518
        91. \n", + "\t
      91. 0.329376903151417
        92. \n", + "\t
      92. 0.265260537289322
        93. \n", + "\t
      93. 0.215912955596784
        94. \n", + "\t
      94. 0.225801351543041
        95. \n", + "\t
      95. 0.257819711151828
        96. \n", + "\t
      96. 0.191613270976346
        97. \n", + "\t
      97. 0.311387557720926
        98. \n", + "\t
      98. 0.38469172303452
        99. \n", + "\t
      99. 0.442739222039054
        100. \n", + "\t
      100. 0.291597859465467
        101. \n", + "
      \n", + "
      55. \n", + "\t
      55. \n", + "\t
      1. 0.328799539534941
        2. \n", + "\t
      2. 0.311258385301582
        3. \n", + "\t
      3. 0.279031541287643
        4. \n", + "\t
      4. 0.327401865817716
        5. \n", + "\t
      5. 0.271514060791834
        6. \n", + "\t
      6. 0.245525709070686
        7. \n", + "\t
      7. 0.300434898587766
        8. \n", + "\t
      8. 0.286356260681623
        9. \n", + "\t
      9. 0.214580882036067
        10. \n", + "\t
      10. 0.518947077108664
        11. \n", + "\t
      11. 0.353728886830209
        12. \n", + "\t
      12. 0.285814099998437
        13. \n", + "\t
      13. 0.231322348576057
        14. \n", + "\t
      14. 0.265611922758645
        15. \n", + "\t
      15. 0.200467855651294
        16. \n", + "\t
      16. 0.214830958877281
        17. \n", + "\t
      17. 0.199477292116776
        18. \n", + "\t
      18. 0.194032480533056
        19. \n", + "\t
      19. 0.332876804727138
        20. \n", + "\t
      20. 0.488712711669087
        21. \n", + "\t
      21. 0.232878728557297
        22. \n", + "\t
      22. 0.373134493908676
        23. \n", + "\t
      23. 0.13815493436104
        24. \n", + "\t
      24. 0.226912472895871
        25. \n", + "\t
      25. 0.274178765675912
        26. \n", + "\t
      26. 0.246676463021288
        27. \n", + "\t
      27. 0.177557377105249
        28. \n", + "\t
      28. 0.264187916652239
        29. \n", + "\t
      29. 0.180342333114727
        30. \n", + "\t
      30. 0.164382965261273
        31. \n", + "\t
      31. 0.173064405175435
        32. \n", + "\t
      32. 0.305533988162159
        33. \n", + "\t
      33. 0.391526605476995
        34. \n", + "\t
      34. 0.321541922451926
        35. \n", + "\t
      35. 0.244802355355896
        36. \n", + "\t
      36. 0.384991558429324
        37. \n", + "\t
      37. 0.454855499334977
        38. \n", + "\t
      38. 0.298712184540093
        39. \n", + "\t
      39. 0.176428455232451
        40. \n", + "\t
      40. 0.264892360540608
        41. \n", + "\t
      41. 0.189169458680109
        42. \n", + "\t
      42. 0.131253619219548
        43. \n", + "\t
      43. 0.356400357865384
        44. \n", + "\t
      44. 0.0922335418999422
        45. \n", + "\t
      45. 0.311798285267537
        46. \n", + "\t
      46. 0.255289851134661
        47. \n", + "\t
      47. 0.158887831706172
        48. \n", + "\t
      48. 0.220973095417805
        49. \n", + "\t
      49. 0.309908573114664
        50. \n", + "\t
      50. 0.31346765095241
        51. \n", + "\t
      51. 0.193146961636895
        52. \n", + "\t
      52. 0.210001201018288
        53. \n", + "\t
      53. 0.162130602542609
        54. \n", + "\t
      54. 0.282073400536557
        55. \n", + "\t
      55. 0.339102901349757
        56. \n", + "\t
      56. 0.192788671830266
        57. \n", + "\t
      57. 0.295962941000936
        58. \n", + "\t
      58. 0.24671237514407
        59. \n", + "\t
      59. 0.308144353088713
        60. \n", + "\t
      60. 0.30295074420948
        61. \n", + "\t
      61. 0.414893398915279
        62. \n", + "\t
      62. 0.420695115345631
        63. \n", + "\t
      63. 0.411549343064427
        64. \n", + "\t
      64. 0.346624166643242
        65. \n", + "\t
      65. 0.373779279202248
        66. \n", + "\t
      66. 0.0458676017940797
        67. \n", + "\t
      67. 0.334794908447047
        68. \n", + "\t
      68. 0.0952160354196661
        69. \n", + "\t
      69. 0.320463886002753
        70. \n", + "\t
      70. 0.342744138626126
        71. \n", + "\t
      71. 0.282216590546686
        72. \n", + "\t
      72. 0.128150734828998
        73. \n", + "\t
      73. 0.209230327395585
        74. \n", + "\t
      74. 0.354117634585879
        75. \n", + "\t
      75. 0.332245998030239
        76. \n", + "\t
      76. 0.297415542124965
        77. \n", + "\t
      77. 0.316902792810677
        78. \n", + "\t
      78. 0.18409562486037
        79. \n", + "\t
      79. 0.321634578884545
        80. \n", + "\t
      80. 0.198493076194524
        81. \n", + "\t
      81. 0.220578947058513
        82. \n", + "\t
      82. 0.31376839982512
        83. \n", + "\t
      83. 0.315306122557694
        84. \n", + "\t
      84. 0.264416177200492
        85. \n", + "\t
      85. 0.283729854342569
        86. \n", + "\t
      86. 0.27893579448839
        87. \n", + "\t
      87. 0.234631930223981
        88. \n", + "\t
      88. 0.264356746826502
        89. \n", + "\t
      89. 0.294119603079839
        90. \n", + "\t
      90. 0.186903425821314
        91. \n", + "\t
      91. 0.438667586467815
        92. \n", + "\t
      92. 0.236796506506316
        93. \n", + "\t
      93. 0.277868083209513
        94. \n", + "\t
      94. 0.271281028185435
        95. \n", + "\t
      95. 0.213153780904203
        96. \n", + "\t
      96. 0.26018606108068
        97. \n", + "\t
      97. 0.481805434344623
        98. \n", + "\t
      98. 0.368269044283366
        99. \n", + "\t
      99. 0.31683464647699
        100. \n", + "\t
      100. 0.251216961947437
        101. \n", + "
      \n", + "
      56. \n", + "\t
      56. \n", + "\t
      1. 0.335624499004686
        2. \n", + "\t
      2. 0.276507528174772
        3. \n", + "\t
      3. 0.247484275420365
        4. \n", + "\t
      4. 0.243544047143477
        5. \n", + "\t
      5. 0.125211394484882
        6. \n", + "\t
      6. 0.155539007977785
        7. \n", + "\t
      7. 0.388945251393666
        8. \n", + "\t
      8. 0.22664078208619
        9. \n", + "\t
      9. 0.235147594770917
        10. \n", + "\t
      10. 0.285293093306286
        11. \n", + "\t
      11. 0.123469454541351
        12. \n", + "\t
      12. 0.136366021173616
        13. \n", + "\t
      13. 0.279046702403554
        14. \n", + "\t
      14. 0.37993023115221
        15. \n", + "\t
      15. 0.182395944642176
        16. \n", + "\t
      16. 0.251376457829156
        17. \n", + "\t
      17. 0.415319435427867
        18. \n", + "\t
      18. 0.11587192049102
        19. \n", + "\t
      19. 0.18738235307904
        20. \n", + "\t
      20. 0.218931737429356
        21. \n", + "\t
      21. 0.284248303417286
        22. \n", + "\t
      22. 0.280452097081864
        23. \n", + "\t
      23. 0.289764901783825
        24. \n", + "\t
      24. 0.254140314902985
        25. \n", + "\t
      25. 0.254209901802846
        26. \n", + "\t
      26. 0.26825742734879
        27. \n", + "\t
      27. 0.190613862929198
        28. \n", + "\t
      28. 0.186910492207608
        29. \n", + "\t
      29. 0.235522498701664
        30. \n", + "\t
      30. 0.229576668524393
        31. \n", + "\t
      31. 0.246515725784641
        32. \n", + "\t
      32. 0.149165571718873
        33. \n", + "\t
      33. 0.272787301273919
        34. \n", + "\t
      34. 0.282628821339836
        35. \n", + "\t
      35. 0.246004320782957
        36. \n", + "\t
      36. 0.235503106415727
        37. \n", + "\t
      37. 0.198806762761557
        38. \n", + "\t
      38. 0.389976739888094
        39. \n", + "\t
      39. 0.203821970473538
        40. \n", + "\t
      40. 0.300671534526224
        41. \n", + "\t
      41. 0.234759820565768
        42. \n", + "\t
      42. 0.142602920370966
        43. \n", + "\t
      43. 0.264366413367186
        44. \n", + "\t
      44. 0.194848478525321
        45. \n", + "\t
      45. 0.303434361827909
        46. \n", + "\t
      46. 0.343186423682173
        47. \n", + "\t
      47. 0.235281183157062
        48. \n", + "\t
      48. 0.321939657621275
        49. \n", + "\t
      49. 0.168508550170808
        50. \n", + "\t
      50. 0.444828538004837
        51. \n", + "\t
      51. 0.359829869336222
        52. \n", + "\t
      52. 0.222119106495734
        53. \n", + "\t
      53. 0.218717258293778
        54. \n", + "\t
      54. 0.358660963208697
        55. \n", + "\t
      55. 0.240460656571942
        56. \n", + "\t
      56. 0.193354462921682
        57. \n", + "\t
      57. 0.310687767114644
        58. \n", + "\t
      58. 0.169202346963082
        59. \n", + "\t
      59. 0.129864544765584
        60. \n", + "\t
      60. 0.359941045555955
        61. \n", + "\t
      61. 0.133453844146796
        62. \n", + "\t
      62. 0.18910736094445
        63. \n", + "\t
      63. 0.248491471271189
        64. \n", + "\t
      64. 0.339380156438347
        65. \n", + "\t
      65. 0.112807259531421
        66. \n", + "\t
      66. 0.254391286029775
        67. \n", + "\t
      67. 0.234294933768135
        68. \n", + "\t
      68. 0.17745510007295
        69. \n", + "\t
      69. 0.157799435462276
        70. \n", + "\t
      70. 0.275378791518416
        71. \n", + "\t
      71. 0.21411584133254
        72. \n", + "\t
      72. 0.157128285674417
        73. \n", + "\t
      73. 0.253912945405569
        74. \n", + "\t
      74. 0.374555450773442
        75. \n", + "\t
      75. 0.384794016097683
        76. \n", + "\t
      76. 0.118855609906658
        77. \n", + "\t
      77. 0.230036432529187
        78. \n", + "\t
      78. 0.163079550175788
        79. \n", + "\t
      79. 0.317276235560837
        80. \n", + "\t
      80. 0.312619613333257
        81. \n", + "\t
      81. 0.188058309421737
        82. \n", + "\t
      82. 0.121338000075729
        83. \n", + "\t
      83. 0.346365607383509
        84. \n", + "\t
      84. 0.213904692622192
        85. \n", + "\t
      85. 0.238569449346798
        86. \n", + "\t
      86. 0.303488688795934
        87. \n", + "\t
      87. 0.129597258761476
        88. \n", + "\t
      88. 0.289226058603866
        89. \n", + "\t
      89. 0.193508091099693
        90. \n", + "\t
      90. 0.162309813036291
        91. \n", + "\t
      91. 0.206460976936764
        92. \n", + "\t
      92. 0.37176771325252
        93. \n", + "\t
      93. 0.30816024630156
        94. \n", + "\t
      94. 0.256431948472439
        95. \n", + "\t
      95. 0.198891753220893
        96. \n", + "\t
      96. 0.34715855110566
        97. \n", + "\t
      97. 0.2092513685551
        98. \n", + "\t
      98. 0.0629878853612639
        99. \n", + "\t
      99. 0.154835589644852
        100. \n", + "\t
      100. 0.219148260280039
        101. \n", + "
      \n", + "
      57. \n", + "\t
      57. \n", + "\t
      1. 0.307011578140876
        2. \n", + "\t
      2. 0.247126617764868
        3. \n", + "\t
      3. 0.326093309051089
        4. \n", + "\t
      4. 0.232384347560885
        5. \n", + "\t
      5. 0.170395057994467
        6. \n", + "\t
      6. 0.162061424761817
        7. \n", + "\t
      7. 0.357323961250855
        8. \n", + "\t
      8. 0.153345472942564
        9. \n", + "\t
      9. 0.117148930793153
        10. \n", + "\t
      10. 0.175105550876995
        11. \n", + "\t
      11. 0.107501453436276
        12. \n", + "\t
      12. 0.130541732489938
        13. \n", + "\t
      13. 0.242884720655619
        14. \n", + "\t
      14. 0.145541419940026
        15. \n", + "\t
      15. 0.210433941254126
        16. \n", + "\t
      16. 0.350894777843126
        17. \n", + "\t
      17. 0.185170958505233
        18. \n", + "\t
      18. 0.320546483954991
        19. \n", + "\t
      19. 0.292975325466927
        20. \n", + "\t
      20. 0.263003050137054
        21. \n", + "\t
      21. 0.296677736572817
        22. \n", + "\t
      22. 0.203787587264525
        23. \n", + "\t
      23. 0.133761317492994
        24. \n", + "\t
      24. 0.26787450903326
        25. \n", + "\t
      25. 0.291597837684282
        26. \n", + "\t
      26. 0.316808353666331
        27. \n", + "\t
      27. 0.326320450414095
        28. \n", + "\t
      28. 0.277374603194908
        29. \n", + "\t
      29. 0.279413554945542
        30. \n", + "\t
      30. 0.275835694017222
        31. \n", + "\t
      31. 0.119030722719587
        32. \n", + "\t
      32. 0.15355743137187
        33. \n", + "\t
      33. 0.202516531519068
        34. \n", + "\t
      34. 0.195336124691534
        35. \n", + "\t
      35. 0.347282953766069
        36. \n", + "\t
      36. 0.260366403292897
        37. \n", + "\t
      37. 0.301929761720545
        38. \n", + "\t
      38. 0.367920795534806
        39. \n", + "\t
      39. 0.116551962728233
        40. \n", + "\t
      40. 0.352829571285032
        41. \n", + "\t
      41. 0.279421362049579
        42. \n", + "\t
      42. 0.255174481767557
        43. \n", + "\t
      43. 0.171545989433998
        44. \n", + "\t
      44. 0.204922448405879
        45. \n", + "\t
      45. 0.243131290247945
        46. \n", + "\t
      46. 0.229745848882457
        47. \n", + "\t
      47. 0.24848892592423
        48. \n", + "\t
      48. 0.184458055230616
        49. \n", + "\t
      49. 0.211606310616581
        50. \n", + "\t
      50. 0.255078957480561
        51. \n", + "\t
      51. 0.214852005572883
        52. \n", + "\t
      52. 0.191367467268405
        53. \n", + "\t
      53. 0.324718193988125
        54. \n", + "\t
      54. 0.26781481361376
        55. \n", + "\t
      55. 0.201213958147191
        56. \n", + "\t
      56. 0.345731097124428
        57. \n", + "\t
      57. 0.288254905731331
        58. \n", + "\t
      58. 0.148995305515991
        59. \n", + "\t
      59. 0.295715345364474
        60. \n", + "\t
      60. 0.377941002746424
        61. \n", + "\t
      61. 0.245022049105194
        62. \n", + "\t
      62. 0.320362787418967
        63. \n", + "\t
      63. 0.319535756812361
        64. \n", + "\t
      64. 0.286207810205898
        65. \n", + "\t
      65. 0.289521467719913
        66. \n", + "\t
      66. 0.345526926058185
        67. \n", + "\t
      67. 0.255506641240531
        68. \n", + "\t
      68. 0.265254907676873
        69. \n", + "\t
      69. 0.454381344937878
        70. \n", + "\t
      70. 0.26864311578841
        71. \n", + "\t
      71. 0.336983425492243
        72. \n", + "\t
      72. 0.285892773403315
        73. \n", + "\t
      73. 0.274446430701992
        74. \n", + "\t
      74. 0.285946009283351
        75. \n", + "\t
      75. 0.247331705907812
        76. \n", + "\t
      76. 0.216236468056147
        77. \n", + "\t
      77. 0.252565268912719
        78. \n", + "\t
      78. 0.223076423843719
        79. \n", + "\t
      79. 0.212889606157784
        80. \n", + "\t
      80. 0.24578925359996
        81. \n", + "\t
      81. 0.24400968288244
        82. \n", + "\t
      82. 0.181747489039017
        83. \n", + "\t
      83. 0.261773330371168
        84. \n", + "\t
      84. 0.303162768093332
        85. \n", + "\t
      85. 0.414253593339142
        86. \n", + "\t
      86. 0.193793096314147
        87. \n", + "\t
      87. 0.270006384151706
        88. \n", + "\t
      88. 0.120346943934334
        89. \n", + "\t
      89. 0.215893408174673
        90. \n", + "\t
      90. 0.244032520707873
        91. \n", + "\t
      91. 0.12537181664141
        92. \n", + "\t
      92. 0.281004830111259
        93. \n", + "\t
      93. 0.284482367640226
        94. \n", + "\t
      94. 0.2479291511924
        95. \n", + "\t
      95. 0.367291721596335
        96. \n", + "\t
      96. 0.366113757470161
        97. \n", + "\t
      97. 0.146306639795439
        98. \n", + "\t
      98. 0.213696142309501
        99. \n", + "\t
      99. 0.155677288451147
        100. \n", + "\t
      100. 0.13952327830963
        101. \n", + "
      \n", + "
      58. \n", + "\t
      58. \n", + "\t
      1. 0.214594015105842
        2. \n", + "\t
      2. 0.272309054017158
        3. \n", + "\t
      3. 0.33328629725394
        4. \n", + "\t
      4. 0.25542411079311
        5. \n", + "\t
      5. 0.193385249905398
        6. \n", + "\t
      6. 0.28138368680332
        7. \n", + "\t
      7. 0.144682635212553
        8. \n", + "\t
      8. 0.312360488863462
        9. \n", + "\t
      9. 0.229709182554863
        10. \n", + "\t
      10. 0.229667174825869
        11. \n", + "\t
      11. 0.293296055570693
        12. \n", + "\t
      12. 0.221698750847299
        13. \n", + "\t
      13. 0.221456161895263
        14. \n", + "\t
      14. 0.182454862840971
        15. \n", + "\t
      15. 0.231919987265921
        16. \n", + "\t
      16. 0.27988577765244
        17. \n", + "\t
      17. 0.139211047807287
        18. \n", + "\t
      18. 0.235514388901429
        19. \n", + "\t
      19. 0.266744975001519
        20. \n", + "\t
      20. 0.305396086679012
        21. \n", + "\t
      21. 0.258162128090748
        22. \n", + "\t
      22. 0.233759392157344
        23. \n", + "\t
      23. 0.15828478166073
        24. \n", + "\t
      24. 0.318132475242142
        25. \n", + "\t
      25. 0.222706456324927
        26. \n", + "\t
      26. 0.215881392255863
        27. \n", + "\t
      27. 0.201040338760536
        28. \n", + "\t
      28. 0.265645069718683
        29. \n", + "\t
      29. 0.183400617846493
        30. \n", + "\t
      30. 0.235284787310396
        31. \n", + "\t
      31. 0.24360711361491
        32. \n", + "\t
      32. 0.175564577337992
        33. \n", + "\t
      33. 0.198936656731615
        34. \n", + "\t
      34. 0.333600945196905
        35. \n", + "\t
      35. 0.243308459816632
        36. \n", + "\t
      36. 0.310291753681639
        37. \n", + "\t
      37. 0.253940000668723
        38. \n", + "\t
      38. 0.140157649132963
        39. \n", + "\t
      39. 0.20950916126587
        40. \n", + "\t
      40. 0.281008943568496
        41. \n", + "\t
      41. 0.308948986901599
        42. \n", + "\t
      42. 0.204367673736938
        43. \n", + "\t
      43. 0.311468727828117
        44. \n", + "\t
      44. 0.269109743422241
        45. \n", + "\t
      45. 0.256898667090889
        46. \n", + "\t
      46. 0.297383955080447
        47. \n", + "\t
      47. 0.222412892508161
        48. \n", + "\t
      48. 0.288543844815039
        49. \n", + "\t
      49. 0.181977710030682
        50. \n", + "\t
      50. 0.278619289020006
        51. \n", + "\t
      51. 0.187359392544213
        52. \n", + "\t
      52. 0.191063305161793
        53. \n", + "\t
      53. 0.245037573859063
        54. \n", + "\t
      54. 0.219677148426203
        55. \n", + "\t
      55. 0.256916715473143
        56. \n", + "\t
      56. 0.26560536939075
        57. \n", + "\t
      57. 0.289220931436238
        58. \n", + "\t
      58. 0.219426663579928
        59. \n", + "\t
      59. 0.138596172555657
        60. \n", + "\t
      60. 0.357679976207289
        61. \n", + "\t
      61. 0.369778941325666
        62. \n", + "\t
      62. 0.122517239659106
        63. \n", + "\t
      63. 0.375844889576194
        64. \n", + "\t
      64. 0.242028586762295
        65. \n", + "\t
      65. 0.29641840199662
        66. \n", + "\t
      66. 0.239927116966654
        67. \n", + "\t
      67. 0.199083380086134
        68. \n", + "\t
      68. 0.215522537583702
        69. \n", + "\t
      69. 0.34627731692084
        70. \n", + "\t
      70. 0.177852450515544
        71. \n", + "\t
      71. 0.304093671538908
        72. \n", + "\t
      72. 0.348447363673011
        73. \n", + "\t
      73. 0.311225851979065
        74. \n", + "\t
      74. 0.269115763468454
        75. \n", + "\t
      75. 0.190950216753975
        76. \n", + "\t
      76. 0.263288200033424
        77. \n", + "\t
      77. 0.189713220356327
        78. \n", + "\t
      78. 0.251766137200942
        79. \n", + "\t
      79. 0.305512180197173
        80. \n", + "\t
      80. 0.207518578358071
        81. \n", + "\t
      81. 0.263139223419691
        82. \n", + "\t
      82. 0.12802442832991
        83. \n", + "\t
      83. 0.224456782345072
        84. \n", + "\t
      84. 0.347376871599191
        85. \n", + "\t
      85. 0.405402433888013
        86. \n", + "\t
      86. 0.320188509631507
        87. \n", + "\t
      87. 0.0931804817389349
        88. \n", + "\t
      88. 0.174307836991629
        89. \n", + "\t
      89. 0.272356191634485
        90. \n", + "\t
      90. 0.206608670815096
        91. \n", + "\t
      91. 0.298265243210718
        92. \n", + "\t
      92. 0.167268999327687
        93. \n", + "\t
      93. 0.231034508643898
        94. \n", + "\t
      94. 0.28407681804075
        95. \n", + "\t
      95. 0.365560238230653
        96. \n", + "\t
      96. 0.206363823135632
        97. \n", + "\t
      97. 0.293992953847107
        98. \n", + "\t
      98. 0.184360300577684
        99. \n", + "\t
      99. 0.153545993137451
        100. \n", + "\t
      100. 0.251540899386441
        101. \n", + "
      \n", + "
      59. \n", + "\t
      59. \n", + "\t
      1. 0.285324593748956
        2. \n", + "\t
      2. 0.339769173161746
        3. \n", + "\t
      3. 0.448923882206329
        4. \n", + "\t
      4. 0.330342640522518
        5. \n", + "\t
      5. 0.386067843954805
        6. \n", + "\t
      6. 0.321440925492579
        7. \n", + "\t
      7. 0.228663786237397
        8. \n", + "\t
      8. 0.213805776440775
        9. \n", + "\t
      9. 0.153929361235671
        10. \n", + "\t
      10. 0.293287810219929
        11. \n", + "\t
      11. 0.279107532441732
        12. \n", + "\t
      12. 0.261683170709992
        13. \n", + "\t
      13. 0.299800173806927
        14. \n", + "\t
      14. 0.330043736327306
        15. \n", + "\t
      15. 0.288751339668678
        16. \n", + "\t
      16. 0.306046495706556
        17. \n", + "\t
      17. 0.139289823281255
        18. \n", + "\t
      18. 0.247730453505291
        19. \n", + "\t
      19. 0.275780730931561
        20. \n", + "\t
      20. 0.286111097910097
        21. \n", + "\t
      21. 0.213649636837235
        22. \n", + "\t
      22. 0.172830171527646
        23. \n", + "\t
      23. 0.205093256438191
        24. \n", + "\t
      24. 0.381021337101314
        25. \n", + "\t
      25. 0.285574330828365
        26. \n", + "\t
      26. 0.236489668584281
        27. \n", + "\t
      27. 0.30840049167817
        28. \n", + "\t
      28. 0.353878656352121
        29. \n", + "\t
      29. 0.210141864082487
        30. \n", + "\t
      30. 0.249616608776326
        31. \n", + "\t
      31. 0.199213570685865
        32. \n", + "\t
      32. 0.254920077177454
        33. \n", + "\t
      33. 0.316935358311345
        34. \n", + "\t
      34. 0.401476235671357
        35. \n", + "\t
      35. 0.219881967426802
        36. \n", + "\t
      36. 0.270437788169097
        37. \n", + "\t
      37. 0.317433775799253
        38. \n", + "\t
      38. 0.377995291836942
        39. \n", + "\t
      39. 0.347197315493199
        40. \n", + "\t
      40. 0.309986479571436
        41. \n", + "\t
      41. 0.24189979614256
        42. \n", + "\t
      42. 0.2607518666368
        43. \n", + "\t
      43. 0.218646082616991
        44. \n", + "\t
      44. 0.237287241710457
        45. \n", + "\t
      45. 0.318737246511056
        46. \n", + "\t
      46. 0.262607161119833
        47. \n", + "\t
      47. 0.395216588378588
        48. \n", + "\t
      48. 0.396210812289955
        49. \n", + "\t
      49. 0.360313115342971
        50. \n", + "\t
      50. 0.373945994531061
        51. \n", + "\t
      51. 0.263484372918908
        52. \n", + "\t
      52. 0.153972313214477
        53. \n", + "\t
      53. 0.272631919142055
        54. \n", + "\t
      54. 0.429395469949064
        55. \n", + "\t
      55. 0.194668475343588
        56. \n", + "\t
      56. 0.364628910868643
        57. \n", + "\t
      57. 0.27247159236878
        58. \n", + "\t
      58. 0.303925250185699
        59. \n", + "\t
      59. 0.296396060645741
        60. \n", + "\t
      60. 0.153097207018102
        61. \n", + "\t
      61. 0.161804879006908
        62. \n", + "\t
      62. 0.340775731902106
        63. \n", + "\t
      63. 0.310090855995242
        64. \n", + "\t
      64. 0.323453314802685
        65. \n", + "\t
      65. 0.23525202095262
        66. \n", + "\t
      66. 0.345610406245077
        67. \n", + "\t
      67. 0.33264841797283
        68. \n", + "\t
      68. 0.324549883215056
        69. \n", + "\t
      69. 0.424578544041776
        70. \n", + "\t
      70. 0.237139677595135
        71. \n", + "\t
      71. 0.206295671972973
        72. \n", + "\t
      72. 0.170014285667471
        73. \n", + "\t
      73. 0.371384221064901
        74. \n", + "\t
      74. 0.194923911347225
        75. \n", + "\t
      75. 0.27851372103396
        76. \n", + "\t
      76. 0.302780845579363
        77. \n", + "\t
      77. 0.0997502367962773
        78. \n", + "\t
      78. 0.25466755080367
        79. \n", + "\t
      79. 0.365082246764125
        80. \n", + "\t
      80. 0.298439960681222
        81. \n", + "\t
      81. 0.198823127216174
        82. \n", + "\t
      82. 0.232681072408868
        83. \n", + "\t
      83. 0.251537410737476
        84. \n", + "\t
      84. 0.261982577593934
        85. \n", + "\t
      85. 0.360005300020725
        86. \n", + "\t
      86. 0.135962035509941
        87. \n", + "\t
      87. 0.394125573294391
        88. \n", + "\t
      88. 0.258026761000666
        89. \n", + "\t
      89. 0.203856551002356
        90. \n", + "\t
      90. 0.149441199921302
        91. \n", + "\t
      91. 0.204441794974694
        92. \n", + "\t
      92. 0.178409205775485
        93. \n", + "\t
      93. 0.181104541739412
        94. \n", + "\t
      94. 0.113468548979138
        95. \n", + "\t
      95. 0.208685724610949
        96. \n", + "\t
      96. 0.309522730280684
        97. \n", + "\t
      97. 0.296700149471657
        98. \n", + "\t
      98. 0.135751311877605
        99. \n", + "\t
      99. 0.331225569854133
        100. \n", + "\t
      100. 0.166365706842511
        101. \n", + "
      \n", + "
      60. \n", + "\t
      60. \n", + "\t
      1. 0.219150042476114
        2. \n", + "\t
      2. 0.130375248176435
        3. \n", + "\t
      3. 0.238273467480838
        4. \n", + "\t
      4. 0.336298690787974
        5. \n", + "\t
      5. 0.297217220161187
        6. \n", + "\t
      6. 0.428120281096857
        7. \n", + "\t
      7. 0.331417395855934
        8. \n", + "\t
      8. 0.125543949634691
        9. \n", + "\t
      9. 0.232315702181488
        10. \n", + "\t
      10. 0.326732741170002
        11. \n", + "\t
      11. 0.319276761507925
        12. \n", + "\t
      12. 0.166276264487519
        13. \n", + "\t
      13. 0.222264953117147
        14. \n", + "\t
      14. 0.360317889463829
        15. \n", + "\t
      15. 0.266002806817958
        16. \n", + "\t
      16. 0.221049538123594
        17. \n", + "\t
      17. 0.246387612774264
        18. \n", + "\t
      18. 0.292956194713765
        19. \n", + "\t
      19. 0.245925845042934
        20. \n", + "\t
      20. 0.204458268521716
        21. \n", + "\t
      21. 0.283647440024525
        22. \n", + "\t
      22. 0.240813650694554
        23. \n", + "\t
      23. 0.266371777095817
        24. \n", + "\t
      24. 0.268519258225598
        25. \n", + "\t
      25. 0.378773647175187
        26. \n", + "\t
      26. 0.250480173440862
        27. \n", + "\t
      27. 0.141461039775608
        28. \n", + "\t
      28. 0.147697560938495
        29. \n", + "\t
      29. 0.295134011665325
        30. \n", + "\t
      30. 0.221711990907837
        31. \n", + "\t
      31. 0.219715492211361
        32. \n", + "\t
      32. 0.126473275026553
        33. \n", + "\t
      33. 0.27852622560826
        34. \n", + "\t
      34. 0.233936099384723
        35. \n", + "\t
      35. 0.214123729030146
        36. \n", + "\t
      36. 0.293521408198852
        37. \n", + "\t
      37. 0.19429540890259
        38. \n", + "\t
      38. 0.1205029631041
        39. \n", + "\t
      39. 0.176811977708728
        40. \n", + "\t
      40. 0.332402897870148
        41. \n", + "\t
      41. 0.206429467088254
        42. \n", + "\t
      42. 0.211116451988874
        43. \n", + "\t
      43. 0.120316867437142
        44. \n", + "\t
      44. 0.175678458630797
        45. \n", + "\t
      45. 0.260420123898624
        46. \n", + "\t
      46. 0.344328299333178
        47. \n", + "\t
      47. 0.255318774089804
        48. \n", + "\t
      48. 0.185220245414355
        49. \n", + "\t
      49. 0.246460621480647
        50. \n", + "\t
      50. 0.173201879315594
        51. \n", + "\t
      51. 0.233493616699813
        52. \n", + "\t
      52. 0.167348478252144
        53. \n", + "\t
      53. 0.283940860663804
        54. \n", + "\t
      54. 0.261788530087788
        55. \n", + "\t
      55. 0.295979456896876
        56. \n", + "\t
      56. 0.104937846329079
        57. \n", + "\t
      57. 0.207946366772665
        58. \n", + "\t
      58. 0.311835726326596
        59. \n", + "\t
      59. 0.212463001988852
        60. \n", + "\t
      60. 0.17991843808069
        61. \n", + "\t
      61. 0.262222439935158
        62. \n", + "\t
      62. 0.186211269984139
        63. \n", + "\t
      63. 0.24155905588528
        64. \n", + "\t
      64. 0.243351820137158
        65. \n", + "\t
      65. 0.163042395849641
        66. \n", + "\t
      66. 0.338866106299898
        67. \n", + "\t
      67. 0.180333918359426
        68. \n", + "\t
      68. 0.250422828935
        69. \n", + "\t
      69. 0.181055314505627
        70. \n", + "\t
      70. 0.229004095705936
        71. \n", + "\t
      71. 0.226663999295565
        72. \n", + "\t
      72. 0.212321148385827
        73. \n", + "\t
      73. 0.236996271295341
        74. \n", + "\t
      74. 0.244180915151191
        75. \n", + "\t
      75. 0.296386566480691
        76. \n", + "\t
      76. 0.418766377187413
        77. \n", + "\t
      77. 0.307652000837535
        78. \n", + "\t
      78. 0.174416535395786
        79. \n", + "\t
      79. 0.285284720437704
        80. \n", + "\t
      80. 0.152502469013376
        81. \n", + "\t
      81. 0.357230384007284
        82. \n", + "\t
      82. 0.305850891083561
        83. \n", + "\t
      83. 0.307272013525919
        84. \n", + "\t
      84. 0.237873620930737
        85. \n", + "\t
      85. 0.341003842486079
        86. \n", + "\t
      86. 0.217073716837695
        87. \n", + "\t
      87. 0.238722765431304
        88. \n", + "\t
      88. 0.167604621021588
        89. \n", + "\t
      89. 0.4564511671049
        90. \n", + "\t
      90. 0.172161279719212
        91. \n", + "\t
      91. 0.301379452437665
        92. \n", + "\t
      92. 0.283681295904562
        93. \n", + "\t
      93. 0.261056845191068
        94. \n", + "\t
      94. 0.150658497688697
        95. \n", + "\t
      95. 0.209037419161714
        96. \n", + "\t
      96. 0.148040616217408
        97. \n", + "\t
      97. 0.268188269339319
        98. \n", + "\t
      98. 0.171116584721391
        99. \n", + "\t
      99. 0.109262016999449
        100. \n", + "\t
      100. 0.106835301722698
        101. \n", + "
      \n", + "
      61. \n", + "\t
      61. \n", + "\t
      1. 0.342175594959077
        2. \n", + "\t
      2. 0.329266296551701
        3. \n", + "\t
      3. 0.371975320003693
        4. \n", + "\t
      4. 0.334918463354589
        5. \n", + "\t
      5. 0.144861940575044
        6. \n", + "\t
      6. 0.346834431793328
        7. \n", + "\t
      7. 0.166255339882532
        8. \n", + "\t
      8. 0.237974723663867
        9. \n", + "\t
      9. 0.138875769119849
        10. \n", + "\t
      10. 0.32538192728673
        11. \n", + "\t
      11. 0.261179521739652
        12. \n", + "\t
      12. 0.229312411353188
        13. \n", + "\t
      13. 0.21056698200539
        14. \n", + "\t
      14. 0.130646321748772
        15. \n", + "\t
      15. 0.190358945169469
        16. \n", + "\t
      16. 0.300429081166087
        17. \n", + "\t
      17. 0.364908035907957
        18. \n", + "\t
      18. 0.186635213677815
        19. \n", + "\t
      19. 0.28042367893273
        20. \n", + "\t
      20. 0.301161199156585
        21. \n", + "\t
      21. 0.304298153308636
        22. \n", + "\t
      22. 0.257749484878669
        23. \n", + "\t
      23. 0.331376949970992
        24. \n", + "\t
      24. 0.181889931300587
        25. \n", + "\t
      25. 0.304742360483794
        26. \n", + "\t
      26. 0.261091692505914
        27. \n", + "\t
      27. 0.412546407072712
        28. \n", + "\t
      28. 0.265017755630095
        29. \n", + "\t
      29. 0.32064306913323
        30. \n", + "\t
      30. 0.309842489742922
        31. \n", + "\t
      31. 0.236205406653952
        32. \n", + "\t
      32. 0.271837541299908
        33. \n", + "\t
      33. 0.400044166459602
        34. \n", + "\t
      34. 0.253395349904247
        35. \n", + "\t
      35. 0.443846633966924
        36. \n", + "\t
      36. 0.0946129562488496
        37. \n", + "\t
      37. 0.157524329382298
        38. \n", + "\t
      38. 0.228704742885402
        39. \n", + "\t
      39. 0.209794815257291
        40. \n", + "\t
      40. 0.249692623139209
        41. \n", + "\t
      41. 0.31666176830303
        42. \n", + "\t
      42. 0.240439476476206
        43. \n", + "\t
      43. 0.346520459272503
        44. \n", + "\t
      44. 0.36172059555202
        45. \n", + "\t
      45. 0.174962069102944
        46. \n", + "\t
      46. 0.301588491248676
        47. \n", + "\t
      47. 0.162089809591576
        48. \n", + "\t
      48. 0.296456362405984
        49. \n", + "\t
      49. 0.235701257272428
        50. \n", + "\t
      50. 0.281021378745735
        51. \n", + "\t
      51. 0.303396908750707
        52. \n", + "\t
      52. 0.191821006575444
        53. \n", + "\t
      53. 0.257499972427468
        54. \n", + "\t
      54. 0.152974547934961
        55. \n", + "\t
      55. 0.273946981284252
        56. \n", + "\t
      56. 0.174820325434562
        57. \n", + "\t
      57. 0.361801967498823
        58. \n", + "\t
      58. 0.256386703695457
        59. \n", + "\t
      59. 0.231139781644536
        60. \n", + "\t
      60. 0.173996386789984
        61. \n", + "\t
      61. 0.199627174217115
        62. \n", + "\t
      62. 0.320356324907713
        63. \n", + "\t
      63. 0.236572631303533
        64. \n", + "\t
      64. 0.167137438309505
        65. \n", + "\t
      65. 0.285549238760414
        66. \n", + "\t
      66. 0.225099968426707
        67. \n", + "\t
      67. 0.0977558810193997
        68. \n", + "\t
      68. 0.212298569784974
        69. \n", + "\t
      69. 0.448969545803796
        70. \n", + "\t
      70. 0.171940128849604
        71. \n", + "\t
      71. 0.227662069332035
        72. \n", + "\t
      72. 0.33143852354028
        73. \n", + "\t
      73. 0.249423713401938
        74. \n", + "\t
      74. 0.331617577540913
        75. \n", + "\t
      75. 0.274238520322044
        76. \n", + "\t
      76. 0.29308211454617
        77. \n", + "\t
      77. 0.377179514940498
        78. \n", + "\t
      78. 0.219055730451542
        79. \n", + "\t
      79. 0.219646519049387
        80. \n", + "\t
      80. 0.314636178879286
        81. \n", + "\t
      81. 0.344898933252442
        82. \n", + "\t
      82. 0.219412782637317
        83. \n", + "\t
      83. 0.183740336473991
        84. \n", + "\t
      84. 0.199322856138639
        85. \n", + "\t
      85. 0.135805726430609
        86. \n", + "\t
      86. 0.293098144780095
        87. \n", + "\t
      87. 0.326103425341931
        88. \n", + "\t
      88. 0.321104122209378
        89. \n", + "\t
      89. 0.385332383847265
        90. \n", + "\t
      90. 0.251887131012913
        91. \n", + "\t
      91. 0.314754182707506
        92. \n", + "\t
      92. 0.228227358025034
        93. \n", + "\t
      93. 0.281734078524957
        94. \n", + "\t
      94. 0.144768002954308
        95. \n", + "\t
      95. 0.161216270910547
        96. \n", + "\t
      96. 0.190856298064762
        97. \n", + "\t
      97. 0.425232015840684
        98. \n", + "\t
      98. 0.211269805841804
        99. \n", + "\t
      99. 0.428657252768149
        100. \n", + "\t
      100. 0.283862630978471
        101. \n", + "
      \n", + "
      62. \n", + "\t
      62. \n", + "\t
      1. 0.354808023780304
        2. \n", + "\t
      2. 0.305379569639103
        3. \n", + "\t
      3. 0.291761037290803
        4. \n", + "\t
      4. 0.132602294650617
        5. \n", + "\t
      5. 0.291999753712489
        6. \n", + "\t
      6. 0.157805391308795
        7. \n", + "\t
      7. 0.137799156045922
        8. \n", + "\t
      8. 0.401764258423891
        9. \n", + "\t
      9. 0.261851732467694
        10. \n", + "\t
      10. 0.302514681352627
        11. \n", + "\t
      11. 0.260268294266717
        12. \n", + "\t
      12. 0.205825237815016
        13. \n", + "\t
      13. 0.162559389172913
        14. \n", + "\t
      14. 0.414403323848102
        15. \n", + "\t
      15. 0.293430785424533
        16. \n", + "\t
      16. 0.264751386373448
        17. \n", + "\t
      17. 0.305105120614522
        18. \n", + "\t
      18. 0.27690947276223
        19. \n", + "\t
      19. 0.170837401831153
        20. \n", + "\t
      20. 0.169818531178646
        21. \n", + "\t
      21. 0.206384842328909
        22. \n", + "\t
      22. 0.365458275607701
        23. \n", + "\t
      23. 0.406037694623145
        24. \n", + "\t
      24. 0.172745608328193
        25. \n", + "\t
      25. 0.0923033360413353
        26. \n", + "\t
      26. 0.24971205175476
        27. \n", + "\t
      27. 0.359070345709124
        28. \n", + "\t
      28. 0.153991864040238
        29. \n", + "\t
      29. 0.328738263693383
        30. \n", + "\t
      30. 0.32073353610641
        31. \n", + "\t
      31. 0.210673898493234
        32. \n", + "\t
      32. 0.415927102946402
        33. \n", + "\t
      33. 0.350831401963657
        34. \n", + "\t
      34. 0.351453389455699
        35. \n", + "\t
      35. 0.376865058237686
        36. \n", + "\t
      36. 0.154818917394373
        37. \n", + "\t
      37. 0.147117169696679
        38. \n", + "\t
      38. 0.249896963997002
        39. \n", + "\t
      39. 0.17198844453671
        40. \n", + "\t
      40. 0.195008565882825
        41. \n", + "\t
      41. 0.175924691356306
        42. \n", + "\t
      42. 0.29408523491376
        43. \n", + "\t
      43. 0.42526640470589
        44. \n", + "\t
      44. 0.275483895282418
        45. \n", + "\t
      45. 0.263730418859313
        46. \n", + "\t
      46. 0.419109578868339
        47. \n", + "\t
      47. 0.167662679402953
        48. \n", + "\t
      48. 0.292413454557259
        49. \n", + "\t
      49. 0.170844028637567
        50. \n", + "\t
      50. 0.339152614081912
        51. \n", + "\t
      51. 0.314153281611284
        52. \n", + "\t
      52. 0.351250904994231
        53. \n", + "\t
      53. 0.311680475413339
        54. \n", + "\t
      54. 0.171485007092931
        55. \n", + "\t
      55. 0.376227915231265
        56. \n", + "\t
      56. 0.2452047991136
        57. \n", + "\t
      57. 0.337561996940175
        58. \n", + "\t
      58. 0.254322331406182
        59. \n", + "\t
      59. 0.287758521942025
        60. \n", + "\t
      60. 0.260316545138295
        61. \n", + "\t
      61. 0.287577980315114
        62. \n", + "\t
      62. 0.253913750017965
        63. \n", + "\t
      63. 0.256062341516804
        64. \n", + "\t
      64. 0.325935939856675
        65. \n", + "\t
      65. 0.160756484960382
        66. \n", + "\t
      66. 0.126985577610381
        67. \n", + "\t
      67. 0.258905276958854
        68. \n", + "\t
      68. 0.270691535412953
        69. \n", + "\t
      69. 0.410759372877381
        70. \n", + "\t
      70. 0.246829329917392
        71. \n", + "\t
      71. 0.272685170254784
        72. \n", + "\t
      72. 0.165751289745174
        73. \n", + "\t
      73. 0.380200180351088
        74. \n", + "\t
      74. 0.261582166163685
        75. \n", + "\t
      75. 0.31789235769828
        76. \n", + "\t
      76. 0.199054292691837
        77. \n", + "\t
      77. 0.454556460361519
        78. \n", + "\t
      78. 0.182873359325748
        79. \n", + "\t
      79. 0.396009367915423
        80. \n", + "\t
      80. 0.298501387729659
        81. \n", + "\t
      81. 0.150962766302496
        82. \n", + "\t
      82. 0.249966413178638
        83. \n", + "\t
      83. 0.350267707339117
        84. \n", + "\t
      84. 0.13369392919324
        85. \n", + "\t
      85. 0.28614410135068
        86. \n", + "\t
      86. 0.276603947494522
        87. \n", + "\t
      87. 0.217010638035914
        88. \n", + "\t
      88. 0.206482057044454
        89. \n", + "\t
      89. 0.30716465506401
        90. \n", + "\t
      90. 0.248375859761549
        91. \n", + "\t
      91. 0.405370519309773
        92. \n", + "\t
      92. 0.389751781457552
        93. \n", + "\t
      93. 0.315755719230724
        94. \n", + "\t
      94. 0.26352881825733
        95. \n", + "\t
      95. 0.358226991299484
        96. \n", + "\t
      96. 0.163482950596867
        97. \n", + "\t
      97. 0.272405288751224
        98. \n", + "\t
      98. 0.212572666449977
        99. \n", + "\t
      99. 0.280898255813291
        100. \n", + "\t
      100. 0.460382365978703
        101. \n", + "
      \n", + "
      63. \n", + "\t
      63. \n", + "\t
      1. 0.358424851298476
        2. \n", + "\t
      2. 0.378133410552466
        3. \n", + "\t
      3. 0.399609733306319
        4. \n", + "\t
      4. 0.295072860251742
        5. \n", + "\t
      5. 0.251752098706267
        6. \n", + "\t
      6. 0.325875059352443
        7. \n", + "\t
      7. 0.411594426000204
        8. \n", + "\t
      8. 0.357562326861973
        9. \n", + "\t
      9. 0.390429770585934
        10. \n", + "\t
      10. 0.228234966805952
        11. \n", + "\t
      11. 0.271563072112248
        12. \n", + "\t
      12. 0.418523471450772
        13. \n", + "\t
      13. 0.336031589438075
        14. \n", + "\t
      14. 0.429557111697334
        15. \n", + "\t
      15. 0.247304555405166
        16. \n", + "\t
      16. 0.573306863374047
        17. \n", + "\t
      17. 0.348760761601925
        18. \n", + "\t
      18. 0.208368678816095
        19. \n", + "\t
      19. 0.215854856531181
        20. \n", + "\t
      20. 0.396962396460451
        21. \n", + "\t
      21. 0.22320760884207
        22. \n", + "\t
      22. 0.463762172072577
        23. \n", + "\t
      23. 0.205478549910386
        24. \n", + "\t
      24. 0.340667319147652
        25. \n", + "\t
      25. 0.257044751260839
        26. \n", + "\t
      26. 0.213722447076511
        27. \n", + "\t
      27. 0.379854834470305
        28. \n", + "\t
      28. 0.248810007852155
        29. \n", + "\t
      29. 0.102653440035144
        30. \n", + "\t
      30. 0.392984974190865
        31. \n", + "\t
      31. 0.251430968000444
        32. \n", + "\t
      32. 0.44518903713767
        33. \n", + "\t
      33. 0.348055801802143
        34. \n", + "\t
      34. 0.267105390509539
        35. \n", + "\t
      35. 0.294326995404482
        36. \n", + "\t
      36. 0.258931990112666
        37. \n", + "\t
      37. 0.266948728960536
        38. \n", + "\t
      38. 0.290891421910469
        39. \n", + "\t
      39. 0.25689221485848
        40. \n", + "\t
      40. 0.345390122712558
        41. \n", + "\t
      41. 0.170135491823314
        42. \n", + "\t
      42. 0.311905882425059
        43. \n", + "\t
      43. 0.467538193557511
        44. \n", + "\t
      44. 0.293185341155267
        45. \n", + "\t
      45. 0.542494575773022
        46. \n", + "\t
      46. 0.314818452366821
        47. \n", + "\t
      47. 0.332657784889458
        48. \n", + "\t
      48. 0.275426204370914
        49. \n", + "\t
      49. 0.22842819473862
        50. \n", + "\t
      50. 0.224760543446592
        51. \n", + "\t
      51. 0.367347470620636
        52. \n", + "\t
      52. 0.318430640756933
        53. \n", + "\t
      53. 0.471950211169209
        54. \n", + "\t
      54. 0.449847792941593
        55. \n", + "\t
      55. 0.171195265976901
        56. \n", + "\t
      56. 0.327149360216884
        57. \n", + "\t
      57. 0.258554418376006
        58. \n", + "\t
      58. 0.405886819669256
        59. \n", + "\t
      59. 0.280208595410927
        60. \n", + "\t
      60. 0.4368181537411
        61. \n", + "\t
      61. 0.21329692478361
        62. \n", + "\t
      62. 0.363455315297249
        63. \n", + "\t
      63. 0.214436635127964
        64. \n", + "\t
      64. 0.248027159497002
        65. \n", + "\t
      65. 0.241382511992962
        66. \n", + "\t
      66. 0.345155284024567
        67. \n", + "\t
      67. 0.337594556332903
        68. \n", + "\t
      68. 0.217354359885282
        69. \n", + "\t
      69. 0.375256857355915
        70. \n", + "\t
      70. 0.381851727237899
        71. \n", + "\t
      71. 0.333378254946008
        72. \n", + "\t
      72. 0.278353568477249
        73. \n", + "\t
      73. 0.277629351264716
        74. \n", + "\t
      74. 0.231261691850315
        75. \n", + "\t
      75. 0.197143091420763
        76. \n", + "\t
      76. 0.221780138934842
        77. \n", + "\t
      77. 0.362275162616909
        78. \n", + "\t
      78. 0.195875262687857
        79. \n", + "\t
      79. 0.236321408208913
        80. \n", + "\t
      80. 0.264510721004415
        81. \n", + "\t
      81. 0.347492099765229
        82. \n", + "\t
      82. 0.337822361609498
        83. \n", + "\t
      83. 0.202123431141197
        84. \n", + "\t
      84. 0.332995109477925
        85. \n", + "\t
      85. 0.339236060053172
        86. \n", + "\t
      86. 0.289644195247514
        87. \n", + "\t
      87. 0.213086322359176
        88. \n", + "\t
      88. 0.292697010220504
        89. \n", + "\t
      89. 0.341798092656455
        90. \n", + "\t
      90. 0.20893097613531
        91. \n", + "\t
      91. 0.168611186514025
        92. \n", + "\t
      92. 0.289880668086207
        93. \n", + "\t
      93. 0.369191305623686
        94. \n", + "\t
      94. 0.19715518817501
        95. \n", + "\t
      95. 0.301466212786727
        96. \n", + "\t
      96. 0.246173596644921
        97. \n", + "\t
      97. 0.456152663969619
        98. \n", + "\t
      98. 0.406470902272343
        99. \n", + "\t
      99. 0.138293096444609
        100. \n", + "\t
      100. 0.330074620185158
        101. \n", + "
      \n", + "
      64. \n", + "\t
      64. \n", + "\t
      1. 0.268545305285998
        2. \n", + "\t
      2. 0.252636995388647
        3. \n", + "\t
      3. 0.225752067689231
        4. \n", + "\t
      4. 0.305354980176963
        5. \n", + "\t
      5. 0.170118927385808
        6. \n", + "\t
      6. 0.31149496758424
        7. \n", + "\t
      7. 0.38073283787163
        8. \n", + "\t
      8. 0.513693400269537
        9. \n", + "\t
      9. 0.229080659369141
        10. \n", + "\t
      10. 0.455220044672574
        11. \n", + "\t
      11. 0.414760399361119
        12. \n", + "\t
      12. 0.470408436352542
        13. \n", + "\t
      13. 0.318202678005421
        14. \n", + "\t
      14. 0.286317529580759
        15. \n", + "\t
      15. 0.311384121994569
        16. \n", + "\t
      16. 0.360927476500308
        17. \n", + "\t
      17. 0.194103013197104
        18. \n", + "\t
      18. 0.31458320198495
        19. \n", + "\t
      19. 0.257848052080415
        20. \n", + "\t
      20. 0.238299916367524
        21. \n", + "\t
      21. 0.287823619520062
        22. \n", + "\t
      22. 0.221511101890121
        23. \n", + "\t
      23. 0.292630508503012
        24. \n", + "\t
      24. 0.37606868670683
        25. \n", + "\t
      25. 0.368355364662846
        26. \n", + "\t
      26. 0.307583088697541
        27. \n", + "\t
      27. 0.332334954788722
        28. \n", + "\t
      28. 0.26490905943103
        29. \n", + "\t
      29. 0.304705002658037
        30. \n", + "\t
      30. 0.298457153616394
        31. \n", + "\t
      31. 0.22810934712661
        32. \n", + "\t
      32. 0.209019207016761
        33. \n", + "\t
      33. 0.181028709947072
        34. \n", + "\t
      34. 0.193460459115936
        35. \n", + "\t
      35. 0.30359058412425
        36. \n", + "\t
      36. 0.297288468587863
        37. \n", + "\t
      37. 0.226122687452131
        38. \n", + "\t
      38. 0.180897547176407
        39. \n", + "\t
      39. 0.284979727029148
        40. \n", + "\t
      40. 0.211903902066365
        41. \n", + "\t
      41. 0.291852871488326
        42. \n", + "\t
      42. 0.286972583255243
        43. \n", + "\t
      43. 0.224525612452826
        44. \n", + "\t
      44. 0.297061732981297
        45. \n", + "\t
      45. 0.410794742361251
        46. \n", + "\t
      46. 0.457806321214461
        47. \n", + "\t
      47. 0.388626619776742
        48. \n", + "\t
      48. 0.386302446229269
        49. \n", + "\t
      49. 0.255914568973434
        50. \n", + "\t
      50. 0.224386429578575
        51. \n", + "\t
      51. 0.239900459919054
        52. \n", + "\t
      52. 0.36506879051492
        53. \n", + "\t
      53. 0.25992410911641
        54. \n", + "\t
      54. 0.262491927341901
        55. \n", + "\t
      55. 0.327628819225754
        56. \n", + "\t
      56. 0.139334518199293
        57. \n", + "\t
      57. 0.402589963526743
        58. \n", + "\t
      58. 0.160977465851096
        59. \n", + "\t
      59. 0.259571938005284
        60. \n", + "\t
      60. 0.265274183407783
        61. \n", + "\t
      61. 0.475123515282327
        62. \n", + "\t
      62. 0.281257278675327
        63. \n", + "\t
      63. 0.328003545187053
        64. \n", + "\t
      64. 0.24286483901975
        65. \n", + "\t
      65. 0.407778111883519
        66. \n", + "\t
      66. 0.427061269173871
        67. \n", + "\t
      67. 0.263603564376382
        68. \n", + "\t
      68. 0.52358728320757
        69. \n", + "\t
      69. 0.162391968260574
        70. \n", + "\t
      70. 0.435516502632466
        71. \n", + "\t
      71. 0.208423311532097
        72. \n", + "\t
      72. 0.244164996158324
        73. \n", + "\t
      73. 0.29087865581847
        74. \n", + "\t
      74. 0.287087872215705
        75. \n", + "\t
      75. 0.428790270771006
        76. \n", + "\t
      76. 0.161603762303461
        77. \n", + "\t
      77. 0.245410132837599
        78. \n", + "\t
      78. 0.248414887551707
        79. \n", + "\t
      79. 0.328181116213321
        80. \n", + "\t
      80. 0.285474962929126
        81. \n", + "\t
      81. 0.276134620129046
        82. \n", + "\t
      82. 0.245569949921226
        83. \n", + "\t
      83. 0.363605900238322
        84. \n", + "\t
      84. 0.291426295316041
        85. \n", + "\t
      85. 0.397396299236718
        86. \n", + "\t
      86. 0.292835636229436
        87. \n", + "\t
      87. 0.155333798036727
        88. \n", + "\t
      88. 0.0897704514400005
        89. \n", + "\t
      89. 0.277284083625554
        90. \n", + "\t
      90. 0.200565877127503
        91. \n", + "\t
      91. 0.228899614490276
        92. \n", + "\t
      92. 0.172654156973679
        93. \n", + "\t
      93. 0.34087166667573
        94. \n", + "\t
      94. 0.235797727797447
        95. \n", + "\t
      95. 0.188939371425229
        96. \n", + "\t
      96. 0.256453780937101
        97. \n", + "\t
      97. 0.185881270555226
        98. \n", + "\t
      98. 0.400060957794297
        99. \n", + "\t
      99. 0.230436945627832
        100. \n", + "\t
      100. 0.162464114604169
        101. \n", + "
      \n", + "
      65. \n", + "\t
      65. \n", + "\t
      1. 0.294126810080863
        2. \n", + "\t
      2. 0.0281002322490525
        3. \n", + "\t
      3. 0.143220569546073
        4. \n", + "\t
      4. 0.139435875800683
        5. \n", + "\t
      5. 0.162388570193603
        6. \n", + "\t
      6. 0.268783800697138
        7. \n", + "\t
      7. 0.304991471875899
        8. \n", + "\t
      8. 0.316083127084548
        9. \n", + "\t
      9. 0.255091735802363
        10. \n", + "\t
      10. 0.217802673275333
        11. \n", + "\t
      11. 0.233890397634403
        12. \n", + "\t
      12. 0.32093348522635
        13. \n", + "\t
      13. 0.240738523046071
        14. \n", + "\t
      14. 0.305394592374714
        15. \n", + "\t
      15. 0.252966760568403
        16. \n", + "\t
      16. 0.278422701082288
        17. \n", + "\t
      17. 0.156877787185765
        18. \n", + "\t
      18. 0.24641152102172
        19. \n", + "\t
      19. 0.308634013785087
        20. \n", + "\t
      20. 0.166303221534755
        21. \n", + "\t
      21. 0.302253674326169
        22. \n", + "\t
      22. 0.310906500162549
        23. \n", + "\t
      23. 0.238399186466979
        24. \n", + "\t
      24. 0.204830011366026
        25. \n", + "\t
      25. 0.298095310744557
        26. \n", + "\t
      26. 0.285318720142954
        27. \n", + "\t
      27. 0.23459070332293
        28. \n", + "\t
      28. 0.377840884334884
        29. \n", + "\t
      29. 0.393740056541076
        30. \n", + "\t
      30. 0.126084702624542
        31. \n", + "\t
      31. 0.278870257158621
        32. \n", + "\t
      32. 0.282918063629403
        33. \n", + "\t
      33. 0.254621821430138
        34. \n", + "\t
      34. 0.359386123616229
        35. \n", + "\t
      35. 0.174040606914627
        36. \n", + "\t
      36. 0.400954414859173
        37. \n", + "\t
      37. 0.329403584556317
        38. \n", + "\t
      38. 0.208868764643964
        39. \n", + "\t
      39. 0.324510600806227
        40. \n", + "\t
      40. 0.234153453512942
        41. \n", + "\t
      41. 0.203701274363157
        42. \n", + "\t
      42. 0.32172142802197
        43. \n", + "\t
      43. 0.147826323070258
        44. \n", + "\t
      44. 0.229107735837408
        45. \n", + "\t
      45. 0.29274987414466
        46. \n", + "\t
      46. 0.282466453462775
        47. \n", + "\t
      47. 0.167822401382517
        48. \n", + "\t
      48. 0.388677927423499
        49. \n", + "\t
      49. 0.219972174700804
        50. \n", + "\t
      50. 0.106283819790271
        51. \n", + "\t
      51. 0.28054629888341
        52. \n", + "\t
      52. 0.10803794777186
        53. \n", + "\t
      53. 0.323883056824559
        54. \n", + "\t
      54. 0.230185156438532
        55. \n", + "\t
      55. 0.113024737946109
        56. \n", + "\t
      56. 0.217462368363993
        57. \n", + "\t
      57. 0.249297447543562
        58. \n", + "\t
      58. 0.0672603555353325
        59. \n", + "\t
      59. 0.348753288102927
        60. \n", + "\t
      60. 0.426442086220764
        61. \n", + "\t
      61. 0.184544750608467
        62. \n", + "\t
      62. 0.383759169288367
        63. \n", + "\t
      63. 0.139903669559866
        64. \n", + "\t
      64. 0.20122406470669
        65. \n", + "\t
      65. 0.315416663542173
        66. \n", + "\t
      66. 0.293853830886644
        67. \n", + "\t
      67. 0.349942649312058
        68. \n", + "\t
      68. 0.385339891682747
        69. \n", + "\t
      69. 0.227609462798787
        70. \n", + "\t
      70. 0.158185513684321
        71. \n", + "\t
      71. 0.214813790959516
        72. \n", + "\t
      72. 0.162538513832103
        73. \n", + "\t
      73. 0.165749199713945
        74. \n", + "\t
      74. 0.103514718533014
        75. \n", + "\t
      75. 0.237666687116583
        76. \n", + "\t
      76. 0.303080805478277
        77. \n", + "\t
      77. 0.119316668281801
        78. \n", + "\t
      78. 0.283248975371042
        79. \n", + "\t
      79. 0.189372741274937
        80. \n", + "\t
      80. 0.192014291133932
        81. \n", + "\t
      81. 0.309763566550005
        82. \n", + "\t
      82. 0.289648510373823
        83. \n", + "\t
      83. 0.201163016450709
        84. \n", + "\t
      84. 0.139552594895153
        85. \n", + "\t
      85. 0.231551208636706
        86. \n", + "\t
      86. 0.421434001724522
        87. \n", + "\t
      87. 0.134716776881094
        88. \n", + "\t
      88. 0.21914328026169
        89. \n", + "\t
      89. 0.173152591096109
        90. \n", + "\t
      90. 0.15553996111316
        91. \n", + "\t
      91. 0.167669267537893
        92. \n", + "\t
      92. 0.161947089146397
        93. \n", + "\t
      93. 0.216436936743564
        94. \n", + "\t
      94. 0.161672697213262
        95. \n", + "\t
      95. 0.253153822161542
        96. \n", + "\t
      96. 0.302550061807324
        97. \n", + "\t
      97. 0.156420062071635
        98. \n", + "\t
      98. 0.240766095316757
        99. \n", + "\t
      99. 0.294046794621196
        100. \n", + "\t
      100. 0.199662615803137
        101. \n", + "
      \n", + "
      66. \n", + "\t
      66. \n", + "\t
      1. 0.323683845770759
        2. \n", + "\t
      2. 0.285080520661388
        3. \n", + "\t
      3. 0.263258992579304
        4. \n", + "\t
      4. 0.233088417996365
        5. \n", + "\t
      5. 0.240111765973154
        6. \n", + "\t
      6. 0.221057321451775
        7. \n", + "\t
      7. 0.303779715287318
        8. \n", + "\t
      8. 0.254378414078198
        9. \n", + "\t
      9. 0.251519069773378
        10. \n", + "\t
      10. 0.17905083975631
        11. \n", + "\t
      11. 0.216258943724824
        12. \n", + "\t
      12. 0.233100897173622
        13. \n", + "\t
      13. 0.222468363321137
        14. \n", + "\t
      14. 0.236361464858702
        15. \n", + "\t
      15. 0.27135048308363
        16. \n", + "\t
      16. 0.317479335683939
        17. \n", + "\t
      17. 0.173022371423819
        18. \n", + "\t
      18. 0.132992497150213
        19. \n", + "\t
      19. 0.264634211647752
        20. \n", + "\t
      20. 0.192687302491628
        21. \n", + "\t
      21. 0.300193674776579
        22. \n", + "\t
      22. 0.263725709185975
        23. \n", + "\t
      23. 0.307611773511064
        24. \n", + "\t
      24. 0.310202164840893
        25. \n", + "\t
      25. 0.264497348988821
        26. \n", + "\t
      26. 0.389537315362998
        27. \n", + "\t
      27. 0.220437283451496
        28. \n", + "\t
      28. 0.414354129389973
        29. \n", + "\t
      29. 0.197130098814544
        30. \n", + "\t
      30. 0.239737282881111
        31. \n", + "\t
      31. 0.261425898810666
        32. \n", + "\t
      32. 0.251976318852648
        33. \n", + "\t
      33. 0.286302553641625
        34. \n", + "\t
      34. 0.211527637599838
        35. \n", + "\t
      35. 0.3802785008174
        36. \n", + "\t
      36. 0.249190800731843
        37. \n", + "\t
      37. 0.186455116582737
        38. \n", + "\t
      38. 0.116058833923275
        39. \n", + "\t
      39. 0.376972739940089
        40. \n", + "\t
      40. 0.34777427294139
        41. \n", + "\t
      41. 0.388153474006613
        42. \n", + "\t
      42. 0.0646362428833309
        43. \n", + "\t
      43. 0.283586255935073
        44. \n", + "\t
      44. 0.152579130318483
        45. \n", + "\t
      45. 0.357168622304044
        46. \n", + "\t
      46. 0.139554881948677
        47. \n", + "\t
      47. 0.380389380266213
        48. \n", + "\t
      48. 0.197074701351812
        49. \n", + "\t
      49. 0.289823689026658
        50. \n", + "\t
      50. 0.218897350288883
        51. \n", + "\t
      51. 0.330505092610759
        52. \n", + "\t
      52. 0.123042642259354
        53. \n", + "\t
      53. 0.13085347870653
        54. \n", + "\t
      54. 0.316777441586792
        55. \n", + "\t
      55. 0.29892712152301
        56. \n", + "\t
      56. 0.457029826947164
        57. \n", + "\t
      57. 0.120777114506
        58. \n", + "\t
      58. 0.291292033654639
        59. \n", + "\t
      59. 0.386630224318542
        60. \n", + "\t
      60. 0.296977976146902
        61. \n", + "\t
      61. 0.100075333907936
        62. \n", + "\t
      62. 0.237714175494363
        63. \n", + "\t
      63. 0.329553690267114
        64. \n", + "\t
      64. 0.247685830036257
        65. \n", + "\t
      65. 0.187081587372633
        66. \n", + "\t
      66. 0.213968064734839
        67. \n", + "\t
      67. 0.159213939955007
        68. \n", + "\t
      68. 0.188652999117485
        69. \n", + "\t
      69. 0.253513922684937
        70. \n", + "\t
      70. 0.261361142375366
        71. \n", + "\t
      71. 0.200893944205691
        72. \n", + "\t
      72. 0.116223585651595
        73. \n", + "\t
      73. 0.133523170635547
        74. \n", + "\t
      74. 0.114398899548992
        75. \n", + "\t
      75. 0.256733275403847
        76. \n", + "\t
      76. 0.34731533677909
        77. \n", + "\t
      77. 0.108111086598307
        78. \n", + "\t
      78. 0.232854046842851
        79. \n", + "\t
      79. 0.229342717940944
        80. \n", + "\t
      80. 0.219056242460921
        81. \n", + "\t
      81. 0.16469174541443
        82. \n", + "\t
      82. 0.296761307442625
        83. \n", + "\t
      83. 0.162719573975026
        84. \n", + "\t
      84. 0.345314856319573
        85. \n", + "\t
      85. 0.198956591604143
        86. \n", + "\t
      86. 0.330571974897749
        87. \n", + "\t
      87. 0.28389910047585
        88. \n", + "\t
      88. 0.181733100222546
        89. \n", + "\t
      89. 0.398396408540108
        90. \n", + "\t
      90. 0.169684677474227
        91. \n", + "\t
      91. 0.0937618701997684
        92. \n", + "\t
      92. 0.29073273239229
        93. \n", + "\t
      93. 0.200109126246902
        94. \n", + "\t
      94. 0.161222025321386
        95. \n", + "\t
      95. 0.313160642384267
        96. \n", + "\t
      96. 0.441169623374526
        97. \n", + "\t
      97. 0.254509366000812
        98. \n", + "\t
      98. 0.213337254212518
        99. \n", + "\t
      99. 0.0612001568481931
        100. \n", + "\t
      100. 0.239408410115932
        101. \n", + "
      \n", + "
      67. \n", + "\t
      67. \n", + "\t
      1. 0.145343076361689
        2. \n", + "\t
      2. 0.298231814232758
        3. \n", + "\t
      3. 0.417366674279848
        4. \n", + "\t
      4. 0.198777702562061
        5. \n", + "\t
      5. 0.311510427203548
        6. \n", + "\t
      6. 0.319911338935254
        7. \n", + "\t
      7. 0.0823385224689827
        8. \n", + "\t
      8. 0.320062500344077
        9. \n", + "\t
      9. 0.407175730521976
        10. \n", + "\t
      10. 0.274264159141888
        11. \n", + "\t
      11. 0.332408319873729
        12. \n", + "\t
      12. 0.242561730013811
        13. \n", + "\t
      13. 0.202711536607435
        14. \n", + "\t
      14. 0.295964692916768
        15. \n", + "\t
      15. 0.343188106472409
        16. \n", + "\t
      16. 0.282032257367446
        17. \n", + "\t
      17. 0.355820524641964
        18. \n", + "\t
      18. 0.224901434081905
        19. \n", + "\t
      19. 0.425481621504186
        20. \n", + "\t
      20. 0.227354566441677
        21. \n", + "\t
      21. 0.213064638775651
        22. \n", + "\t
      22. 0.342298470933248
        23. \n", + "\t
      23. 0.394756266121075
        24. \n", + "\t
      24. 0.310826763143144
        25. \n", + "\t
      25. 0.362444528725481
        26. \n", + "\t
      26. 0.335312558533586
        27. \n", + "\t
      27. 0.167424760384138
        28. \n", + "\t
      28. 0.262130120291323
        29. \n", + "\t
      29. 0.235380194656682
        30. \n", + "\t
      30. 0.344354180387538
        31. \n", + "\t
      31. 0.278690988750224
        32. \n", + "\t
      32. 0.23632779916284
        33. \n", + "\t
      33. 0.249177132197142
        34. \n", + "\t
      34. 0.426593178646352
        35. \n", + "\t
      35. 0.293211345025097
        36. \n", + "\t
      36. 0.311510509558138
        37. \n", + "\t
      37. 0.428953978353959
        38. \n", + "\t
      38. 0.26524595023684
        39. \n", + "\t
      39. 0.172803119872107
        40. \n", + "\t
      40. 0.270510961719266
        41. \n", + "\t
      41. 0.24681895504374
        42. \n", + "\t
      42. 0.385134497510157
        43. \n", + "\t
      43. 0.277275126487853
        44. \n", + "\t
      44. 0.136262070781443
        45. \n", + "\t
      45. 0.267814557654785
        46. \n", + "\t
      46. 0.234816285634599
        47. \n", + "\t
      47. 0.232675407157425
        48. \n", + "\t
      48. 0.224292812177163
        49. \n", + "\t
      49. 0.224115313664339
        50. \n", + "\t
      50. 0.349761192203136
        51. \n", + "\t
      51. 0.277186754026732
        52. \n", + "\t
      52. 0.157360497675181
        53. \n", + "\t
      53. 0.401212758670332
        54. \n", + "\t
      54. 0.271839750663848
        55. \n", + "\t
      55. 0.26413587564513
        56. \n", + "\t
      56. 0.392138620788653
        57. \n", + "\t
      57. 0.20206523706165
        58. \n", + "\t
      58. 0.140462637318013
        59. \n", + "\t
      59. 0.263381159220783
        60. \n", + "\t
      60. 0.455662479418738
        61. \n", + "\t
      61. 0.286206242510866
        62. \n", + "\t
      62. 0.416586593732081
        63. \n", + "\t
      63. 0.27779329068104
        64. \n", + "\t
      64. 0.308319966755461
        65. \n", + "\t
      65. 0.352124272056157
        66. \n", + "\t
      66. 0.12960724054
        67. \n", + "\t
      67. 0.178361614961116
        68. \n", + "\t
      68. 0.430696007971025
        69. \n", + "\t
      69. 0.266337827779209
        70. \n", + "\t
      70. 0.197869352605934
        71. \n", + "\t
      71. 0.311166278973522
        72. \n", + "\t
      72. 0.325474220869028
        73. \n", + "\t
      73. 0.263646818333833
        74. \n", + "\t
      74. 0.277877776545946
        75. \n", + "\t
      75. 0.207834809328556
        76. \n", + "\t
      76. 0.373551934044911
        77. \n", + "\t
      77. 0.29358807484574
        78. \n", + "\t
      78. 0.353360538389907
        79. \n", + "\t
      79. 0.24637810298772
        80. \n", + "\t
      80. 0.25856607236006
        81. \n", + "\t
      81. 0.347031821891046
        82. \n", + "\t
      82. 0.221100408126335
        83. \n", + "\t
      83. 0.244771123364122
        84. \n", + "\t
      84. 0.435133976958165
        85. \n", + "\t
      85. 0.431766689920635
        86. \n", + "\t
      86. 0.234842706405975
        87. \n", + "\t
      87. 0.330900011304129
        88. \n", + "\t
      88. 0.365844610821161
        89. \n", + "\t
      89. 0.108761904615706
        90. \n", + "\t
      90. 0.204108200744153
        91. \n", + "\t
      91. 0.32579545278728
        92. \n", + "\t
      92. 0.295512717501495
        93. \n", + "\t
      93. 0.276878505111634
        94. \n", + "\t
      94. 0.217269337517526
        95. \n", + "\t
      95. 0.166344553963028
        96. \n", + "\t
      96. 0.371405714577178
        97. \n", + "\t
      97. 0.292643908353164
        98. \n", + "\t
      98. 0.312786364100945
        99. \n", + "\t
      99. 0.227885349145865
        100. \n", + "\t
      100. 0.223698340494767
        101. \n", + "
      \n", + "
      68. \n", + "\t
      68. \n", + "\t
      1. 0.105242309278431
        2. \n", + "\t
      2. 0.257036209102542
        3. \n", + "\t
      3. 0.293157543038927
        4. \n", + "\t
      4. 0.261565983052693
        5. \n", + "\t
      5. 0.102626864191437
        6. \n", + "\t
      6. 0.188058064501348
        7. \n", + "\t
      7. 0.318060907563417
        8. \n", + "\t
      8. 0.249171704926752
        9. \n", + "\t
      9. 0.21884648965072
        10. \n", + "\t
      10. 0.418117541807388
        11. \n", + "\t
      11. 0.11208824771321
        12. \n", + "\t
      12. 0.397248732049015
        13. \n", + "\t
      13. 0.281805660879761
        14. \n", + "\t
      14. 0.218325388507889
        15. \n", + "\t
      15. 0.35198798292316
        16. \n", + "\t
      16. 0.296511795430096
        17. \n", + "\t
      17. 0.234780450890771
        18. \n", + "\t
      18. 0.10724032745061
        19. \n", + "\t
      19. 0.103945033567143
        20. \n", + "\t
      20. 0.198243959588095
        21. \n", + "\t
      21. 0.281199673115603
        22. \n", + "\t
      22. 0.315518395347961
        23. \n", + "\t
      23. 0.216145795148947
        24. \n", + "\t
      24. 0.185637067851884
        25. \n", + "\t
      25. 0.227785927782752
        26. \n", + "\t
      26. 0.269960225173695
        27. \n", + "\t
      27. 0.224615689671228
        28. \n", + "\t
      28. 0.372656783279508
        29. \n", + "\t
      29. 0.366074304832856
        30. \n", + "\t
      30. 0.130743202073469
        31. \n", + "\t
      31. 0.226434515218968
        32. \n", + "\t
      32. 0.302799060533526
        33. \n", + "\t
      33. 0.148570473692033
        34. \n", + "\t
      34. 0.134884013144229
        35. \n", + "\t
      35. 0.286978331840568
        36. \n", + "\t
      36. 0.292280432943605
        37. \n", + "\t
      37. 0.134624340527681
        38. \n", + "\t
      38. 0.194508828493581
        39. \n", + "\t
      39. 0.3080271802812
        40. \n", + "\t
      40. 0.169028959362635
        41. \n", + "\t
      41. 0.160188455815146
        42. \n", + "\t
      42. 0.13009537249594
        43. \n", + "\t
      43. 0.0798344605148091
        44. \n", + "\t
      44. 0.190295907585742
        45. \n", + "\t
      45. 0.287700378044589
        46. \n", + "\t
      46. 0.357860379912078
        47. \n", + "\t
      47. 0.221435050640312
        48. \n", + "\t
      48. 0.231538483037219
        49. \n", + "\t
      49. 0.213507338906632
        50. \n", + "\t
      50. 0.331085008494044
        51. \n", + "\t
      51. 0.350756721573213
        52. \n", + "\t
      52. 0.348903778052257
        53. \n", + "\t
      53. 0.198911684604605
        54. \n", + "\t
      54. 0.162225779833199
        55. \n", + "\t
      55. 0.132485175865714
        56. \n", + "\t
      56. 0.216780930344184
        57. \n", + "\t
      57. 0.199257904404571
        58. \n", + "\t
      58. 0.138874809359896
        59. \n", + "\t
      59. 0.178216571547449
        60. \n", + "\t
      60. 0.205038576593453
        61. \n", + "\t
      61. 0.251497129902064
        62. \n", + "\t
      62. 0.195113872212485
        63. \n", + "\t
      63. 0.290044792190896
        64. \n", + "\t
      64. 0.201447053012671
        65. \n", + "\t
      65. 0.268323638180292
        66. \n", + "\t
      66. 0.217490653261029
        67. \n", + "\t
      67. 0.286806143446524
        68. \n", + "\t
      68. 0.206515974260133
        69. \n", + "\t
      69. 0.126090026271209
        70. \n", + "\t
      70. 0.411238748675865
        71. \n", + "\t
      71. 0.236887683676087
        72. \n", + "\t
      72. 0.24981781179202
        73. \n", + "\t
      73. 0.177012686686084
        74. \n", + "\t
      74. 0.175599660162624
        75. \n", + "\t
      75. 0.309418494981463
        76. \n", + "\t
      76. 0.272232988713379
        77. \n", + "\t
      77. 0.212500163468681
        78. \n", + "\t
      78. 0.250159785245945
        79. \n", + "\t
      79. 0.226580543589351
        80. \n", + "\t
      80. 0.272689513657691
        81. \n", + "\t
      81. 0.235861348004124
        82. \n", + "\t
      82. 0.292220410520241
        83. \n", + "\t
      83. 0.225244763907282
        84. \n", + "\t
      84. 0.22476111933928
        85. \n", + "\t
      85. 0.219859194086322
        86. \n", + "\t
      86. 0.230447421946548
        87. \n", + "\t
      87. 0.244079007165594
        88. \n", + "\t
      88. 0.17628166915335
        89. \n", + "\t
      89. 0.221705271789766
        90. \n", + "\t
      90. 0.28181745408469
        91. \n", + "\t
      91. 0.427145229520103
        92. \n", + "\t
      92. 0.287277829978268
        93. \n", + "\t
      93. 0.412080678607388
        94. \n", + "\t
      94. 0.288960260661961
        95. \n", + "\t
      95. 0.253804952865427
        96. \n", + "\t
      96. 0.173796549650793
        97. \n", + "\t
      97. 0.235002971357512
        98. \n", + "\t
      98. 0.129694328261601
        99. \n", + "\t
      99. 0.203093808245074
        100. \n", + "\t
      100. 0.284179723559063
        101. \n", + "
      \n", + "
      69. \n", + "\t
      69. \n", + "\t
      1. 0.247110293194437
        2. \n", + "\t
      2. 0.277060218418458
        3. \n", + "\t
      3. 0.340098555133972
        4. \n", + "\t
      4. 0.149410546290744
        5. \n", + "\t
      5. 0.186802931978734
        6. \n", + "\t
      6. 0.319625724764634
        7. \n", + "\t
      7. 0.17926455674151
        8. \n", + "\t
      8. 0.232984609096997
        9. \n", + "\t
      9. 0.231474722507658
        10. \n", + "\t
      10. 0.187422340573138
        11. \n", + "\t
      11. 0.233429293692423
        12. \n", + "\t
      12. 0.335455511619115
        13. \n", + "\t
      13. 0.329913032544649
        14. \n", + "\t
      14. 0.200226003153571
        15. \n", + "\t
      15. 0.337919719396513
        16. \n", + "\t
      16. 0.206507563934429
        17. \n", + "\t
      17. 0.275478920046697
        18. \n", + "\t
      18. 0.224233124482445
        19. \n", + "\t
      19. 0.326563124501408
        20. \n", + "\t
      20. 0.374715925798025
        21. \n", + "\t
      21. 0.234997580607368
        22. \n", + "\t
      22. 0.165703250748533
        23. \n", + "\t
      23. 0.329319533208928
        24. \n", + "\t
      24. 0.326247893702667
        25. \n", + "\t
      25. 0.318235492292042
        26. \n", + "\t
      26. 0.259837270604829
        27. \n", + "\t
      27. 0.268439262692442
        28. \n", + "\t
      28. 0.164483008953108
        29. \n", + "\t
      29. 0.122434230766343
        30. \n", + "\t
      30. 0.31603889129369
        31. \n", + "\t
      31. 0.301511997686418
        32. \n", + "\t
      32. 0.190438038538496
        33. \n", + "\t
      33. 0.304477757571478
        34. \n", + "\t
      34. 0.370532746259586
        35. \n", + "\t
      35. 0.247111903977292
        36. \n", + "\t
      36. 0.292828542517171
        37. \n", + "\t
      37. 0.300525987949527
        38. \n", + "\t
      38. 0.430146207989023
        39. \n", + "\t
      39. 0.237474825314395
        40. \n", + "\t
      40. 0.15185610874796
        41. \n", + "\t
      41. 0.24077554860938
        42. \n", + "\t
      42. 0.268526334694056
        43. \n", + "\t
      43. 0.289895629966775
        44. \n", + "\t
      44. 0.301731049314704
        45. \n", + "\t
      45. 0.241821355518221
        46. \n", + "\t
      46. 0.376729834740277
        47. \n", + "\t
      47. 0.200309432530993
        48. \n", + "\t
      48. 0.2503934565016
        49. \n", + "\t
      49. 0.276251574396544
        50. \n", + "\t
      50. 0.229554528941004
        51. \n", + "\t
      51. 0.239306939068346
        52. \n", + "\t
      52. 0.265922017154514
        53. \n", + "\t
      53. 0.319751520560098
        54. \n", + "\t
      54. 0.260527288633047
        55. \n", + "\t
      55. 0.308902418548808
        56. \n", + "\t
      56. 0.234862792725641
        57. \n", + "\t
      57. 0.267175351585711
        58. \n", + "\t
      58. 0.21597152831886
        59. \n", + "\t
      59. 0.285465916836749
        60. \n", + "\t
      60. 0.216412773255298
        61. \n", + "\t
      61. 0.167476620003928
        62. \n", + "\t
      62. 0.224119195068595
        63. \n", + "\t
      63. 0.327682410385736
        64. \n", + "\t
      64. 0.291471565476015
        65. \n", + "\t
      65. 0.153931259150748
        66. \n", + "\t
      66. 0.247905325174346
        67. \n", + "\t
      67. 0.291350403414586
        68. \n", + "\t
      68. 0.360758443441294
        69. \n", + "\t
      69. 0.311315199428139
        70. \n", + "\t
      70. 0.200660059271367
        71. \n", + "\t
      71. 0.23658014382714
        72. \n", + "\t
      72. 0.262216813953229
        73. \n", + "\t
      73. 0.225300999577593
        74. \n", + "\t
      74. 0.137162890640139
        75. \n", + "\t
      75. 0.212685629717219
        76. \n", + "\t
      76. 0.33709835530132
        77. \n", + "\t
      77. 0.170504239688526
        78. \n", + "\t
      78. 0.252506765494454
        79. \n", + "\t
      79. 0.197341197343951
        80. \n", + "\t
      80. 0.373449994968099
        81. \n", + "\t
      81. 0.227139272046811
        82. \n", + "\t
      82. 0.295529324719426
        83. \n", + "\t
      83. 0.240634248892105
        84. \n", + "\t
      84. 0.264318328685119
        85. \n", + "\t
      85. 0.251503510801391
        86. \n", + "\t
      86. 0.127506311225189
        87. \n", + "\t
      87. 0.271854189685655
        88. \n", + "\t
      88. 0.230745569177176
        89. \n", + "\t
      89. 0.221117349138109
        90. \n", + "\t
      90. 0.203473096575658
        91. \n", + "\t
      91. 0.237814402745596
        92. \n", + "\t
      92. 0.293992640674613
        93. \n", + "\t
      93. 0.299199681248926
        94. \n", + "\t
      94. 0.193939695860587
        95. \n", + "\t
      95. 0.260319234081848
        96. \n", + "\t
      96. 0.352854191987771
        97. \n", + "\t
      97. 0.422047627813137
        98. \n", + "\t
      98. 0.266167512129812
        99. \n", + "\t
      99. 0.191465348925283
        100. \n", + "\t
      100. 0.273818049864508
        101. \n", + "
      \n", + "
      70. \n", + "\t
      70. \n", + "\t
      1. 0.141460902933883
        2. \n", + "\t
      2. 0.169572331224221
        3. \n", + "\t
      3. 0.244920832833993
        4. \n", + "\t
      4. 0.200918040274405
        5. \n", + "\t
      5. 0.227071590747273
        6. \n", + "\t
      6. 0.244517155498998
        7. \n", + "\t
      7. 0.26631650547957
        8. \n", + "\t
      8. 0.279119370784768
        9. \n", + "\t
      9. 0.177492687128178
        10. \n", + "\t
      10. 0.324776163305991
        11. \n", + "\t
      11. 0.248393262456511
        12. \n", + "\t
      12. 0.198319821097042
        13. \n", + "\t
      13. 0.176941651867553
        14. \n", + "\t
      14. 0.268478351790117
        15. \n", + "\t
      15. 0.119665168962791
        16. \n", + "\t
      16. 0.213619026710923
        17. \n", + "\t
      17. 0.151998592563907
        18. \n", + "\t
      18. 0.289201060291983
        19. \n", + "\t
      19. 0.244026967137536
        20. \n", + "\t
      20. 0.243661907759047
        21. \n", + "\t
      21. 0.248384379774462
        22. \n", + "\t
      22. 0.24415637253665
        23. \n", + "\t
      23. 0.167505632845242
        24. \n", + "\t
      24. 0.30698017230038
        25. \n", + "\t
      25. 0.326476544282325
        26. \n", + "\t
      26. 0.405142214500631
        27. \n", + "\t
      27. 0.2476110340552
        28. \n", + "\t
      28. 0.190654910359858
        29. \n", + "\t
      29. 0.0475181394982694
        30. \n", + "\t
      30. 0.257682137274259
        31. \n", + "\t
      31. 0.24471768423572
        32. \n", + "\t
      32. 0.335544753771089
        33. \n", + "\t
      33. 0.20290387241374
        34. \n", + "\t
      34. 0.193446561242764
        35. \n", + "\t
      35. 0.201028282649247
        36. \n", + "\t
      36. 0.293904712053104
        37. \n", + "\t
      37. 0.295751995538061
        38. \n", + "\t
      38. 0.218004142478513
        39. \n", + "\t
      39. 0.238270405481486
        40. \n", + "\t
      40. 0.349305636030164
        41. \n", + "\t
      41. 0.296115985116617
        42. \n", + "\t
      42. 0.189090750509483
        43. \n", + "\t
      43. 0.302137441920457
        44. \n", + "\t
      44. 0.222527646341699
        45. \n", + "\t
      45. 0.154351135226761
        46. \n", + "\t
      46. 0.0983596619110679
        47. \n", + "\t
      47. 0.242168626962664
        48. \n", + "\t
      48. 0.149778260152337
        49. \n", + "\t
      49. 0.196582904930043
        50. \n", + "\t
      50. 0.244567785293417
        51. \n", + "\t
      51. 0.142334250456443
        52. \n", + "\t
      52. 0.179248410355
        53. \n", + "\t
      53. 0.0566349216916405
        54. \n", + "\t
      54. 0.173489514777785
        55. \n", + "\t
      55. 0.242779608487444
        56. \n", + "\t
      56. 0.214403955093351
        57. \n", + "\t
      57. 0.146943223612008
        58. \n", + "\t
      58. 0.165459553423363
        59. \n", + "\t
      59. 0.200027529598687
        60. \n", + "\t
      60. 0.2437000755765
        61. \n", + "\t
      61. 0.316416732315834
        62. \n", + "\t
      62. 0.228973537497605
        63. \n", + "\t
      63. 0.127545440447623
        64. \n", + "\t
      64. 0.254931441885701
        65. \n", + "\t
      65. 0.144247637051603
        66. \n", + "\t
      66. 0.155025550236803
        67. \n", + "\t
      67. 0.242869515425944
        68. \n", + "\t
      68. 0.384213945832407
        69. \n", + "\t
      69. 0.238269501150603
        70. \n", + "\t
      70. 0.253290898287332
        71. \n", + "\t
      71. 0.206895319358605
        72. \n", + "\t
      72. 0.150517167741784
        73. \n", + "\t
      73. 0.281695467257635
        74. \n", + "\t
      74. 0.167097778342315
        75. \n", + "\t
      75. 0.247213622998635
        76. \n", + "\t
      76. 0.147861521926719
        77. \n", + "\t
      77. 0.328363706456707
        78. \n", + "\t
      78. 0.205143329100123
        79. \n", + "\t
      79. 0.139841325410215
        80. \n", + "\t
      80. 0.272515291033094
        81. \n", + "\t
      81. 0.241557401833194
        82. \n", + "\t
      82. 0.360998029962865
        83. \n", + "\t
      83. 0.291352861700836
        84. \n", + "\t
      84. 0.0831069055141409
        85. \n", + "\t
      85. 0.209599212833367
        86. \n", + "\t
      86. 0.235802441898014
        87. \n", + "\t
      87. 0.276703746742888
        88. \n", + "\t
      88. 0.185619277328997
        89. \n", + "\t
      89. 0.110970335151236
        90. \n", + "\t
      90. 0.319053235688312
        91. \n", + "\t
      91. 0.342647702379517
        92. \n", + "\t
      92. 0.173261995052813
        93. \n", + "\t
      93. 0.0932693026423875
        94. \n", + "\t
      94. 0.245595088592837
        95. \n", + "\t
      95. 0.213761041481313
        96. \n", + "\t
      96. 0.357675226615083
        97. \n", + "\t
      97. 0.0951258829083281
        98. \n", + "\t
      98. 0.204169398227227
        99. \n", + "\t
      99. 0.191640553871523
        100. \n", + "\t
      100. 0.19202730920489
        101. \n", + "
      \n", + "
      71. \n", + "\t
      71. \n", + "\t
      1. 0.325360950322643
        2. \n", + "\t
      2. 0.231881225535339
        3. \n", + "\t
      3. 0.151964800163234
        4. \n", + "\t
      4. 0.155477391345996
        5. \n", + "\t
      5. 0.126503922540459
        6. \n", + "\t
      6. 0.323882661229067
        7. \n", + "\t
      7. 0.281219502286545
        8. \n", + "\t
      8. 0.337455964074137
        9. \n", + "\t
      9. 0.178371195156245
        10. \n", + "\t
      10. 0.165721727598821
        11. \n", + "\t
      11. 0.146589007366561
        12. \n", + "\t
      12. 0.27978483157281
        13. \n", + "\t
      13. 0.133782813348125
        14. \n", + "\t
      14. 0.384628992186211
        15. \n", + "\t
      15. 0.280259767389341
        16. \n", + "\t
      16. 0.202170508042453
        17. \n", + "\t
      17. 0.267141066588438
        18. \n", + "\t
      18. 0.271190592961583
        19. \n", + "\t
      19. 0.27525681720221
        20. \n", + "\t
      20. 0.357242397486402
        21. \n", + "\t
      21. 0.215202065377181
        22. \n", + "\t
      22. 0.218818014321877
        23. \n", + "\t
      23. 0.290257643271133
        24. \n", + "\t
      24. 0.358120658790662
        25. \n", + "\t
      25. 0.138480396231545
        26. \n", + "\t
      26. 0.127057522947337
        27. \n", + "\t
      27. 0.292135809847405
        28. \n", + "\t
      28. 0.163007080531599
        29. \n", + "\t
      29. 0.197009989453564
        30. \n", + "\t
      30. 0.228552587320675
        31. \n", + "\t
      31. 0.420099932829315
        32. \n", + "\t
      32. 0.202157428336293
        33. \n", + "\t
      33. 0.272638955257572
        34. \n", + "\t
      34. 0.15840594103795
        35. \n", + "\t
      35. 0.174178445856281
        36. \n", + "\t
      36. 0.237020260543737
        37. \n", + "\t
      37. 0.249514299273198
        38. \n", + "\t
      38. 0.274069016127425
        39. \n", + "\t
      39. 0.170236412669812
        40. \n", + "\t
      40. 0.208781259743686
        41. \n", + "\t
      41. 0.392401422733044
        42. \n", + "\t
      42. 0.129199549467874
        43. \n", + "\t
      43. 0.236668282834163
        44. \n", + "\t
      44. 0.197107225411496
        45. \n", + "\t
      45. 0.327602916529984
        46. \n", + "\t
      46. 0.307156316589613
        47. \n", + "\t
      47. 0.290875759886713
        48. \n", + "\t
      48. 0.213336514474713
        49. \n", + "\t
      49. 0.242211810638893
        50. \n", + "\t
      50. 0.244500739340616
        51. \n", + "\t
      51. 0.324112035153459
        52. \n", + "\t
      52. 0.224526651427024
        53. \n", + "\t
      53. 0.158540317546675
        54. \n", + "\t
      54. 0.224397163408538
        55. \n", + "\t
      55. 0.275988016860311
        56. \n", + "\t
      56. 0.277745985876755
        57. \n", + "\t
      57. 0.280970219082894
        58. \n", + "\t
      58. 0.177759238878625
        59. \n", + "\t
      59. 0.292305748152634
        60. \n", + "\t
      60. 0.14442417931573
        61. \n", + "\t
      61. 0.18656653486622
        62. \n", + "\t
      62. 0.0824857758688529
        63. \n", + "\t
      63. 0.33813373721976
        64. \n", + "\t
      64. 0.241039028364841
        65. \n", + "\t
      65. 0.28235748906608
        66. \n", + "\t
      66. 0.335710334038687
        67. \n", + "\t
      67. 0.31698747659479
        68. \n", + "\t
      68. 0.128146232841896
        69. \n", + "\t
      69. 0.250490655161173
        70. \n", + "\t
      70. 0.266255405799932
        71. \n", + "\t
      71. 0.194403504449469
        72. \n", + "\t
      72. 0.259014820349221
        73. \n", + "\t
      73. 0.161391635628341
        74. \n", + "\t
      74. 0.275872773065704
        75. \n", + "\t
      75. 0.116269349831147
        76. \n", + "\t
      76. 0.251712777733153
        77. \n", + "\t
      77. 0.322259186126787
        78. \n", + "\t
      78. 0.206572664769771
        79. \n", + "\t
      79. 0.349921863388758
        80. \n", + "\t
      80. 0.330010186759373
        81. \n", + "\t
      81. 0.225067034646814
        82. \n", + "\t
      82. 0.263311769379627
        83. \n", + "\t
      83. 0.389178262232512
        84. \n", + "\t
      84. 0.28423323634463
        85. \n", + "\t
      85. 0.260468023710022
        86. \n", + "\t
      86. 0.194659419099289
        87. \n", + "\t
      87. 0.226160075034696
        88. \n", + "\t
      88. 0.293359171692671
        89. \n", + "\t
      89. 0.257940187442928
        90. \n", + "\t
      90. 0.329569188089966
        91. \n", + "\t
      91. 0.304359706405633
        92. \n", + "\t
      92. 0.33579813498474
        93. \n", + "\t
      93. 0.127764598806325
        94. \n", + "\t
      94. 0.202674092578855
        95. \n", + "\t
      95. 0.209653336211938
        96. \n", + "\t
      96. 0.332249863909325
        97. \n", + "\t
      97. 0.23975118344854
        98. \n", + "\t
      98. 0.28376601534676
        99. \n", + "\t
      99. 0.237756142836811
        100. \n", + "\t
      100. 0.155068573401361
        101. \n", + "
      \n", + "
      72. \n", + "\t
      72. \n", + "\t
      1. 0.299894908157544
        2. \n", + "\t
      2. 0.353899088702225
        3. \n", + "\t
      3. 0.325109247286901
        4. \n", + "\t
      4. 0.276759176701728
        5. \n", + "\t
      5. 0.259532205655324
        6. \n", + "\t
      6. 0.264065856063243
        7. \n", + "\t
      7. 0.32385602381071
        8. \n", + "\t
      8. 0.352970635396693
        9. \n", + "\t
      9. 0.274399547411079
        10. \n", + "\t
      10. 0.155938690771803
        11. \n", + "\t
      11. 0.256686842661248
        12. \n", + "\t
      12. 0.330566445316606
        13. \n", + "\t
      13. 0.213486833028873
        14. \n", + "\t
      14. 0.36940298068025
        15. \n", + "\t
      15. 0.326889370754142
        16. \n", + "\t
      16. 0.209068193759995
        17. \n", + "\t
      17. 0.159764792904899
        18. \n", + "\t
      18. 0.297632671007148
        19. \n", + "\t
      19. 0.285300905795499
        20. \n", + "\t
      20. 0.201966277562304
        21. \n", + "\t
      21. 0.380338575130921
        22. \n", + "\t
      22. 0.267418260201484
        23. \n", + "\t
      23. 0.280447042198638
        24. \n", + "\t
      24. 0.257866785177463
        25. \n", + "\t
      25. 0.321501195883055
        26. \n", + "\t
      26. 0.317074859290742
        27. \n", + "\t
      27. 0.262608496106401
        28. \n", + "\t
      28. 0.173974986006187
        29. \n", + "\t
      29. 0.322500938689976
        30. \n", + "\t
      30. 0.128639860689316
        31. \n", + "\t
      31. 0.222542375732892
        32. \n", + "\t
      32. 0.30258563077796
        33. \n", + "\t
      33. 0.314665180608685
        34. \n", + "\t
      34. 0.208946349249603
        35. \n", + "\t
      35. 0.247821281410573
        36. \n", + "\t
      36. 0.206897230099954
        37. \n", + "\t
      37. 0.327388635438879
        38. \n", + "\t
      38. 0.337884100535554
        39. \n", + "\t
      39. 0.115958599895998
        40. \n", + "\t
      40. 0.333850920611821
        41. \n", + "\t
      41. 0.226344081023462
        42. \n", + "\t
      42. 0.376096911393107
        43. \n", + "\t
      43. 0.335615115414817
        44. \n", + "\t
      44. 0.414891830310287
        45. \n", + "\t
      45. 0.215353183366133
        46. \n", + "\t
      46. 0.275629392655962
        47. \n", + "\t
      47. 0.361103896705484
        48. \n", + "\t
      48. 0.304230117281901
        49. \n", + "\t
      49. 0.121589262738069
        50. \n", + "\t
      50. 0.321556838339616
        51. \n", + "\t
      51. 0.407811072694644
        52. \n", + "\t
      52. 0.296564144185182
        53. \n", + "\t
      53. 0.178917974165121
        54. \n", + "\t
      54. 0.329836011127166
        55. \n", + "\t
      55. 0.195359534450713
        56. \n", + "\t
      56. 0.29563198849041
        57. \n", + "\t
      57. 0.165325653467052
        58. \n", + "\t
      58. 0.318209213237076
        59. \n", + "\t
      59. 0.292019000304923
        60. \n", + "\t
      60. 0.335360095262781
        61. \n", + "\t
      61. 0.151457692547443
        62. \n", + "\t
      62. 0.287369974375249
        63. \n", + "\t
      63. 0.219625091888943
        64. \n", + "\t
      64. 0.353918396703483
        65. \n", + "\t
      65. 0.277009670419373
        66. \n", + "\t
      66. 0.241549352271953
        67. \n", + "\t
      67. 0.255786310303897
        68. \n", + "\t
      68. 0.260681035389023
        69. \n", + "\t
      69. 0.192569927554527
        70. \n", + "\t
      70. 0.212263712211126
        71. \n", + "\t
      71. 0.421861617567654
        72. \n", + "\t
      72. 0.240979260635712
        73. \n", + "\t
      73. 0.259538930921617
        74. \n", + "\t
      74. 0.262810317974968
        75. \n", + "\t
      75. 0.326126044016362
        76. \n", + "\t
      76. 0.229776588648976
        77. \n", + "\t
      77. 0.390553186550397
        78. \n", + "\t
      78. 0.164233353484698
        79. \n", + "\t
      79. 0.255335613776023
        80. \n", + "\t
      80. 0.290825598618795
        81. \n", + "\t
      81. 0.240064634557825
        82. \n", + "\t
      82. 0.254185539690785
        83. \n", + "\t
      83. 0.320496155495016
        84. \n", + "\t
      84. 0.236703877440137
        85. \n", + "\t
      85. 0.225095324420244
        86. \n", + "\t
      86. 0.275490743602233
        87. \n", + "\t
      87. 0.2296499304182
        88. \n", + "\t
      88. 0.265765816840183
        89. \n", + "\t
      89. 0.189744346586415
        90. \n", + "\t
      90. 0.131888023000359
        91. \n", + "\t
      91. 0.354964441386108
        92. \n", + "\t
      92. 0.381664603428658
        93. \n", + "\t
      93. 0.463337640573837
        94. \n", + "\t
      94. 0.249752844622111
        95. \n", + "\t
      95. 0.307547905481926
        96. \n", + "\t
      96. 0.327487768341913
        97. \n", + "\t
      97. 0.267076561423289
        98. \n", + "\t
      98. 0.250237870340896
        99. \n", + "\t
      99. 0.0983132198357867
        100. \n", + "\t
      100. 0.386491785808757
        101. \n", + "
      \n", + "
      73. \n", + "\t
      73. \n", + "\t
      1. 0.201308852919627
        2. \n", + "\t
      2. 0.183428749181994
        3. \n", + "\t
      3. 0.251290335748811
        4. \n", + "\t
      4. 0.180910155731414
        5. \n", + "\t
      5. 0.196061993621163
        6. \n", + "\t
      6. 0.340027214220622
        7. \n", + "\t
      7. 0.424674324745544
        8. \n", + "\t
      8. 0.25889348694867
        9. \n", + "\t
      9. 0.330617771031771
        10. \n", + "\t
      10. 0.232853392180568
        11. \n", + "\t
      11. 0.300320944269238
        12. \n", + "\t
      12. 0.347949078413597
        13. \n", + "\t
      13. 0.259488858026183
        14. \n", + "\t
      14. 0.352224023253505
        15. \n", + "\t
      15. 0.111540326560457
        16. \n", + "\t
      16. 0.327706463774419
        17. \n", + "\t
      17. 0.283601568055279
        18. \n", + "\t
      18. 0.188132879717083
        19. \n", + "\t
      19. 0.358552703627309
        20. \n", + "\t
      20. 0.276276043314374
        21. \n", + "\t
      21. 0.377389140343498
        22. \n", + "\t
      22. 0.270233862198506
        23. \n", + "\t
      23. 0.443619574140925
        24. \n", + "\t
      24. 0.197979074421995
        25. \n", + "\t
      25. 0.230433461218461
        26. \n", + "\t
      26. 0.238932789896083
        27. \n", + "\t
      27. 0.257926547946581
        28. \n", + "\t
      28. 0.13951658534046
        29. \n", + "\t
      29. 0.217927431128796
        30. \n", + "\t
      30. 0.250872557857221
        31. \n", + "\t
      31. 0.320836695039719
        32. \n", + "\t
      32. 0.312708351196187
        33. \n", + "\t
      33. 0.305903330499065
        34. \n", + "\t
      34. 0.113512338915677
        35. \n", + "\t
      35. 0.149581484716952
        36. \n", + "\t
      36. 0.124312636774451
        37. \n", + "\t
      37. 0.251980640796417
        38. \n", + "\t
      38. 0.174208620785452
        39. \n", + "\t
      39. 0.307754544396653
        40. \n", + "\t
      40. 0.323804966586349
        41. \n", + "\t
      41. 0.278322015555846
        42. \n", + "\t
      42. 0.259881495510671
        43. \n", + "\t
      43. 0.303768301381133
        44. \n", + "\t
      44. 0.267346726219128
        45. \n", + "\t
      45. 0.340357005435215
        46. \n", + "\t
      46. 0.28417408162748
        47. \n", + "\t
      47. 0.141786880887746
        48. \n", + "\t
      48. 0.256975164491755
        49. \n", + "\t
      49. 0.226562953348683
        50. \n", + "\t
      50. 0.265480348198197
        51. \n", + "\t
      51. 0.192951137835965
        52. \n", + "\t
      52. 0.33676623161529
        53. \n", + "\t
      53. 0.372873348924402
        54. \n", + "\t
      54. 0.302453192486899
        55. \n", + "\t
      55. 0.356061127443514
        56. \n", + "\t
      56. 0.1776481630043
        57. \n", + "\t
      57. 0.310029031609643
        58. \n", + "\t
      58. 0.120095250478827
        59. \n", + "\t
      59. 0.348069939357909
        60. \n", + "\t
      60. 0.225672615248228
        61. \n", + "\t
      61. 0.22311802988505
        62. \n", + "\t
      62. 0.354571100418084
        63. \n", + "\t
      63. 0.243227375729683
        64. \n", + "\t
      64. 0.255945988997676
        65. \n", + "\t
      65. 0.23744850001634
        66. \n", + "\t
      66. 0.217725297052039
        67. \n", + "\t
      67. 0.285019847017899
        68. \n", + "\t
      68. 0.184409857175701
        69. \n", + "\t
      69. 0.239425709042572
        70. \n", + "\t
      70. 0.218949321985381
        71. \n", + "\t
      71. 0.328690055307342
        72. \n", + "\t
      72. 0.329508060470883
        73. \n", + "\t
      73. 0.284633298283592
        74. \n", + "\t
      74. 0.338619304441759
        75. \n", + "\t
      75. 0.17352834550437
        76. \n", + "\t
      76. 0.30064709815068
        77. \n", + "\t
      77. 0.105921782374198
        78. \n", + "\t
      78. 0.300881830289053
        79. \n", + "\t
      79. 0.31681606003772
        80. \n", + "\t
      80. 0.347929456488925
        81. \n", + "\t
      81. 0.196830437390727
        82. \n", + "\t
      82. 0.233689516769604
        83. \n", + "\t
      83. 0.283971455195133
        84. \n", + "\t
      84. 0.244339850875941
        85. \n", + "\t
      85. 0.2444000436619
        86. \n", + "\t
      86. 0.313430171720158
        87. \n", + "\t
      87. 0.356313103679351
        88. \n", + "\t
      88. 0.271543216410762
        89. \n", + "\t
      89. 0.0798643365786459
        90. \n", + "\t
      90. 0.180094250383876
        91. \n", + "\t
      91. 0.174931369145647
        92. \n", + "\t
      92. 0.0868132466114623
        93. \n", + "\t
      93. 0.276266531042387
        94. \n", + "\t
      94. 0.174617575508255
        95. \n", + "\t
      95. 0.2585858106311
        96. \n", + "\t
      96. 0.327022764387989
        97. \n", + "\t
      97. 0.207395634569454
        98. \n", + "\t
      98. 0.331427340777904
        99. \n", + "\t
      99. 0.276936212118859
        100. \n", + "\t
      100. 0.281150625434357
        101. \n", + "
      \n", + "
      74. \n", + "\t
      74. \n", + "\t
      1. 0.334151364375547
        2. \n", + "\t
      2. 0.281371761524517
        3. \n", + "\t
      3. 0.235385240942119
        4. \n", + "\t
      4. 0.356517380765876
        5. \n", + "\t
      5. 0.323436749156413
        6. \n", + "\t
      6. 0.214771915202349
        7. \n", + "\t
      7. 0.3891062662854
        8. \n", + "\t
      8. 0.150468844798934
        9. \n", + "\t
      9. 0.201409971825285
        10. \n", + "\t
      10. 0.249606599549958
        11. \n", + "\t
      11. 0.261567809075259
        12. \n", + "\t
      12. 0.23456913802159
        13. \n", + "\t
      13. 0.333253960898844
        14. \n", + "\t
      14. 0.211952918128879
        15. \n", + "\t
      15. 0.174034913649975
        16. \n", + "\t
      16. 0.345412738263606
        17. \n", + "\t
      17. 0.237918374121969
        18. \n", + "\t
      18. 0.242749744304443
        19. \n", + "\t
      19. 0.160250831992349
        20. \n", + "\t
      20. 0.340222031090055
        21. \n", + "\t
      21. 0.179463303338838
        22. \n", + "\t
      22. 0.136286160628189
        23. \n", + "\t
      23. 0.168088200624005
        24. \n", + "\t
      24. 0.147884713473603
        25. \n", + "\t
      25. 0.297404200072832
        26. \n", + "\t
      26. 0.231480540768985
        27. \n", + "\t
      27. 0.333571475292211
        28. \n", + "\t
      28. 0.112078508953616
        29. \n", + "\t
      29. 0.139247485250326
        30. \n", + "\t
      30. 0.253109962414179
        31. \n", + "\t
      31. 0.281464427084576
        32. \n", + "\t
      32. 0.157913728691549
        33. \n", + "\t
      33. 0.326994098192271
        34. \n", + "\t
      34. 0.269845622072529
        35. \n", + "\t
      35. 0.190323666237896
        36. \n", + "\t
      36. 0.175601572547943
        37. \n", + "\t
      37. 0.197247796546166
        38. \n", + "\t
      38. 0.335508322795984
        39. \n", + "\t
      39. 0.252821618336895
        40. \n", + "\t
      40. 0.175674673433583
        41. \n", + "\t
      41. 0.278355536999304
        42. \n", + "\t
      42. 0.349020563843374
        43. \n", + "\t
      43. 0.303086348697623
        44. \n", + "\t
      44. 0.438756094909868
        45. \n", + "\t
      45. 0.235946928369374
        46. \n", + "\t
      46. 0.302929559377237
        47. \n", + "\t
      47. 0.26600560345152
        48. \n", + "\t
      48. 0.348167145941855
        49. \n", + "\t
      49. 0.340748679411575
        50. \n", + "\t
      50. 0.373592684439539
        51. \n", + "\t
      51. 0.33999139762645
        52. \n", + "\t
      52. 0.26250552505749
        53. \n", + "\t
      53. 0.226661550058796
        54. \n", + "\t
      54. 0.253430118804215
        55. \n", + "\t
      55. 0.484166065541713
        56. \n", + "\t
      56. 0.305706731899103
        57. \n", + "\t
      57. 0.392565058321683
        58. \n", + "\t
      58. 0.242312948846228
        59. \n", + "\t
      59. 0.237594092997862
        60. \n", + "\t
      60. 0.33522522425862
        61. \n", + "\t
      61. 0.192728613622126
        62. \n", + "\t
      62. 0.368003792463671
        63. \n", + "\t
      63. 0.285956999272971
        64. \n", + "\t
      64. 0.153610251381808
        65. \n", + "\t
      65. 0.226081071849545
        66. \n", + "\t
      66. 0.245949792432693
        67. \n", + "\t
      67. 0.327179811478488
        68. \n", + "\t
      68. 0.329098087483348
        69. \n", + "\t
      69. 0.256760938480071
        70. \n", + "\t
      70. 0.192901952683876
        71. \n", + "\t
      71. 0.266151237511975
        72. \n", + "\t
      72. 0.264395031559538
        73. \n", + "\t
      73. 0.286303853295137
        74. \n", + "\t
      74. 0.37375063554913
        75. \n", + "\t
      75. 0.388512358538545
        76. \n", + "\t
      76. 0.218073150589359
        77. \n", + "\t
      77. 0.317092386445386
        78. \n", + "\t
      78. 0.262459130226322
        79. \n", + "\t
      79. 0.38254813716687
        80. \n", + "\t
      80. 0.40866553482584
        81. \n", + "\t
      81. 0.30099494684473
        82. \n", + "\t
      82. 0.314885744971618
        83. \n", + "\t
      83. 0.269412562990691
        84. \n", + "\t
      84. 0.222485164597326
        85. \n", + "\t
      85. 0.23539764345766
        86. \n", + "\t
      86. 0.198173961667879
        87. \n", + "\t
      87. 0.231817442125839
        88. \n", + "\t
      88. 0.209679744588799
        89. \n", + "\t
      89. 0.204982417037033
        90. \n", + "\t
      90. 0.283835152804712
        91. \n", + "\t
      91. 0.238063093166828
        92. \n", + "\t
      92. 0.246083032774041
        93. \n", + "\t
      93. 0.247431497967683
        94. \n", + "\t
      94. 0.194052086632811
        95. \n", + "\t
      95. 0.41648691563789
        96. \n", + "\t
      96. 0.288822696364606
        97. \n", + "\t
      97. 0.171519628531289
        98. \n", + "\t
      98. 0.268874438078119
        99. \n", + "\t
      99. 0.451767715506752
        100. \n", + "\t
      100. 0.286083432445201
        101. \n", + "
      \n", + "
      75. \n", + "\t
      75. \n", + "\t
      1. 0.331560550667514
        2. \n", + "\t
      2. 0.178204803845767
        3. \n", + "\t
      3. 0.275287470814387
        4. \n", + "\t
      4. 0.20448296311198
        5. \n", + "\t
      5. 0.400971846558915
        6. \n", + "\t
      6. 0.267627538075936
        7. \n", + "\t
      7. 0.211264124472877
        8. \n", + "\t
      8. 0.213396075935951
        9. \n", + "\t
      9. 0.35306399542095
        10. \n", + "\t
      10. 0.232522819614176
        11. \n", + "\t
      11. 0.383908285616216
        12. \n", + "\t
      12. 0.240906834700105
        13. \n", + "\t
      13. 0.181085622369853
        14. \n", + "\t
      14. 0.225971912098799
        15. \n", + "\t
      15. 0.228656279337206
        16. \n", + "\t
      16. 0.149156959440974
        17. \n", + "\t
      17. 0.237100764711751
        18. \n", + "\t
      18. 0.258835877070049
        19. \n", + "\t
      19. 0.282395464184805
        20. \n", + "\t
      20. 0.314597115164008
        21. \n", + "\t
      21. 0.346980214124262
        22. \n", + "\t
      22. 0.360702036403267
        23. \n", + "\t
      23. 0.456598879679602
        24. \n", + "\t
      24. 0.318511509196444
        25. \n", + "\t
      25. 0.274887626698119
        26. \n", + "\t
      26. 0.284615390298096
        27. \n", + "\t
      27. 0.384084281962256
        28. \n", + "\t
      28. 0.362525433774202
        29. \n", + "\t
      29. 0.133917142140652
        30. \n", + "\t
      30. 0.326476127915
        31. \n", + "\t
      31. 0.265616854966112
        32. \n", + "\t
      32. 0.316469606164934
        33. \n", + "\t
      33. 0.283201247399596
        34. \n", + "\t
      34. 0.428799847365668
        35. \n", + "\t
      35. 0.244835289870399
        36. \n", + "\t
      36. 0.437837884412518
        37. \n", + "\t
      37. 0.279017871422266
        38. \n", + "\t
      38. 0.14223311007335
        39. \n", + "\t
      39. 0.294445395453519
        40. \n", + "\t
      40. 0.27625288453777
        41. \n", + "\t
      41. 0.460494685253162
        42. \n", + "\t
      42. 0.416108813200393
        43. \n", + "\t
      43. 0.211953203996582
        44. \n", + "\t
      44. 0.381502342658298
        45. \n", + "\t
      45. 0.272966431689821
        46. \n", + "\t
      46. 0.241642713192263
        47. \n", + "\t
      47. 0.287130011916336
        48. \n", + "\t
      48. 0.379665399355398
        49. \n", + "\t
      49. 0.195234159949684
        50. \n", + "\t
      50. 0.131943510658863
        51. \n", + "\t
      51. 0.175112531124335
        52. \n", + "\t
      52. 0.223623661536787
        53. \n", + "\t
      53. 0.296613498364611
        54. \n", + "\t
      54. 0.265493246609512
        55. \n", + "\t
      55. 0.299788914152315
        56. \n", + "\t
      56. 0.328016033780359
        57. \n", + "\t
      57. 0.332823305536308
        58. \n", + "\t
      58. 0.284921175168044
        59. \n", + "\t
      59. 0.222111034241486
        60. \n", + "\t
      60. 0.223462196263154
        61. \n", + "\t
      61. 0.286125063840729
        62. \n", + "\t
      62. 0.182230342516195
        63. \n", + "\t
      63. 0.285926168416912
        64. \n", + "\t
      64. 0.285177681204565
        65. \n", + "\t
      65. 0.213535053469632
        66. \n", + "\t
      66. 0.175979838486922
        67. \n", + "\t
      67. 0.341444060994997
        68. \n", + "\t
      68. 0.300234424959596
        69. \n", + "\t
      69. 0.121053004915926
        70. \n", + "\t
      70. 0.329108824183397
        71. \n", + "\t
      71. 0.231028775689131
        72. \n", + "\t
      72. 0.350724675527334
        73. \n", + "\t
      73. 0.27413317122171
        74. \n", + "\t
      74. 0.290955826370799
        75. \n", + "\t
      75. 0.324602125873923
        76. \n", + "\t
      76. 0.224115738501041
        77. \n", + "\t
      77. 0.350205760780622
        78. \n", + "\t
      78. 0.304876827612569
        79. \n", + "\t
      79. 0.262659665319758
        80. \n", + "\t
      80. 0.224645841466006
        81. \n", + "\t
      81. 0.192113660340171
        82. \n", + "\t
      82. 0.31971864459873
        83. \n", + "\t
      83. 0.257795596434798
        84. \n", + "\t
      84. 0.294583961949521
        85. \n", + "\t
      85. 0.272758123250854
        86. \n", + "\t
      86. 0.178110160500887
        87. \n", + "\t
      87. 0.317879630049497
        88. \n", + "\t
      88. 0.336137483450526
        89. \n", + "\t
      89. 0.30372084832598
        90. \n", + "\t
      90. 0.250116238050087
        91. \n", + "\t
      91. 0.25597839829623
        92. \n", + "\t
      92. 0.309571976836208
        93. \n", + "\t
      93. 0.31929955369557
        94. \n", + "\t
      94. 0.254594676916101
        95. \n", + "\t
      95. 0.280248740622216
        96. \n", + "\t
      96. 0.263680545046756
        97. \n", + "\t
      97. 0.265951224516494
        98. \n", + "\t
      98. 0.310259505751799
        99. \n", + "\t
      99. 0.129119359325847
        100. \n", + "\t
      100. 0.43613703607879
        101. \n", + "
      \n", + "
      76. \n", + "\t
      76. \n", + "\t
      1. 0.181844517651459
        2. \n", + "\t
      2. 0.281993570089666
        3. \n", + "\t
      3. 0.273000742259198
        4. \n", + "\t
      4. 0.283425152250995
        5. \n", + "\t
      5. 0.292605937586852
        6. \n", + "\t
      6. 0.119820799593877
        7. \n", + "\t
      7. 0.1416354202193
        8. \n", + "\t
      8. 0.274518427837028
        9. \n", + "\t
      9. 0.208913834383581
        10. \n", + "\t
      10. 0.201750544820341
        11. \n", + "\t
      11. 0.178262021092297
        12. \n", + "\t
      12. 0.285410731603057
        13. \n", + "\t
      13. 0.230103195087354
        14. \n", + "\t
      14. 0.251022862198276
        15. \n", + "\t
      15. 0.393745269054525
        16. \n", + "\t
      16. 0.223279710582372
        17. \n", + "\t
      17. 0.379309998888982
        18. \n", + "\t
      18. 0.356562419188503
        19. \n", + "\t
      19. 0.321664726615408
        20. \n", + "\t
      20. 0.195482672204923
        21. \n", + "\t
      21. 0.366113868665789
        22. \n", + "\t
      22. 0.218522114469596
        23. \n", + "\t
      23. 0.103392811702678
        24. \n", + "\t
      24. 0.249491454320645
        25. \n", + "\t
      25. 0.11227879563091
        26. \n", + "\t
      26. 0.133494643117935
        27. \n", + "\t
      27. 0.184917293769758
        28. \n", + "\t
      28. 0.31574719149302
        29. \n", + "\t
      29. 0.230637971905741
        30. \n", + "\t
      30. 0.337509593371637
        31. \n", + "\t
      31. 0.279116244521319
        32. \n", + "\t
      32. 0.185528979598437
        33. \n", + "\t
      33. 0.244535647367742
        34. \n", + "\t
      34. 0.265933175506706
        35. \n", + "\t
      35. 0.294887458464967
        36. \n", + "\t
      36. 0.219820029582166
        37. \n", + "\t
      37. 0.262970117528973
        38. \n", + "\t
      38. 0.211720687105723
        39. \n", + "\t
      39. 0.193469541507553
        40. \n", + "\t
      40. 0.297131036110901
        41. \n", + "\t
      41. 0.337424625874771
        42. \n", + "\t
      42. 0.194946295813687
        43. \n", + "\t
      43. 0.204086682444526
        44. \n", + "\t
      44. 0.210439603033797
        45. \n", + "\t
      45. 0.134822152919245
        46. \n", + "\t
      46. 0.165362639907158
        47. \n", + "\t
      47. 0.270630758559165
        48. \n", + "\t
      48. 0.271897523655702
        49. \n", + "\t
      49. 0.203603950489243
        50. \n", + "\t
      50. 0.242828362724742
        51. \n", + "\t
      51. 0.157086217494812
        52. \n", + "\t
      52. 0.266775115705554
        53. \n", + "\t
      53. 0.287516211484022
        54. \n", + "\t
      54. 0.28204617688309
        55. \n", + "\t
      55. 0.310083032674867
        56. \n", + "\t
      56. 0.273924876957296
        57. \n", + "\t
      57. 0.155896571108106
        58. \n", + "\t
      58. 0.101396956367964
        59. \n", + "\t
      59. 0.281886284930203
        60. \n", + "\t
      60. 0.353936466631802
        61. \n", + "\t
      61. 0.290669628281008
        62. \n", + "\t
      62. 0.247417784333868
        63. \n", + "\t
      63. 0.0891607471550979
        64. \n", + "\t
      64. 0.238958326853516
        65. \n", + "\t
      65. 0.226724705797145
        66. \n", + "\t
      66. 0.127821108482838
        67. \n", + "\t
      67. 0.256887813135978
        68. \n", + "\t
      68. 0.152858892552719
        69. \n", + "\t
      69. 0.367535619614801
        70. \n", + "\t
      70. 0.380112551560972
        71. \n", + "\t
      71. 0.422545273969583
        72. \n", + "\t
      72. 0.261548164500782
        73. \n", + "\t
      73. 0.252186194968049
        74. \n", + "\t
      74. 0.221042611430771
        75. \n", + "\t
      75. 0.19292483161517
        76. \n", + "\t
      76. 0.294542806454617
        77. \n", + "\t
      77. 0.305561990008175
        78. \n", + "\t
      78. 0.29245574554607
        79. \n", + "\t
      79. 0.130262681362129
        80. \n", + "\t
      80. 0.0468917732503106
        81. \n", + "\t
      81. 0.304131931863861
        82. \n", + "\t
      82. 0.231059057017872
        83. \n", + "\t
      83. 0.358086781674669
        84. \n", + "\t
      84. 0.183392744928398
        85. \n", + "\t
      85. 0.208108681219364
        86. \n", + "\t
      86. 0.283931610495031
        87. \n", + "\t
      87. 0.275440767812674
        88. \n", + "\t
      88. 0.300370087270496
        89. \n", + "\t
      89. 0.178192978583646
        90. \n", + "\t
      90. 0.278231645170287
        91. \n", + "\t
      91. 0.384288698674561
        92. \n", + "\t
      92. 0.296245479895063
        93. \n", + "\t
      93. 0.360166757374697
        94. \n", + "\t
      94. 0.227570815185587
        95. \n", + "\t
      95. 0.105877333372906
        96. \n", + "\t
      96. 0.246073157271098
        97. \n", + "\t
      97. 0.372209894016595
        98. \n", + "\t
      98. 0.254688308307342
        99. \n", + "\t
      99. 0.205182765356743
        100. \n", + "\t
      100. 0.21194812889921
        101. \n", + "
      \n", + "
      77. \n", + "\t
      77. \n", + "\t
      1. 0.417428139981088
        2. \n", + "\t
      2. 0.174006132456144
        3. \n", + "\t
      3. 0.270843503092561
        4. \n", + "\t
      4. 0.291764992144245
        5. \n", + "\t
      5. 0.184812454376638
        6. \n", + "\t
      6. 0.183426563480188
        7. \n", + "\t
      7. 0.22337777418948
        8. \n", + "\t
      8. 0.184013878826705
        9. \n", + "\t
      9. 0.234973177331232
        10. \n", + "\t
      10. 0.140539483048642
        11. \n", + "\t
      11. 0.196529133341507
        12. \n", + "\t
      12. 0.407211294782022
        13. \n", + "\t
      13. 0.240229059665642
        14. \n", + "\t
      14. 0.314768867249197
        15. \n", + "\t
      15. 0.416662091214327
        16. \n", + "\t
      16. 0.307330117974027
        17. \n", + "\t
      17. 0.252460956191284
        18. \n", + "\t
      18. 0.274581119826059
        19. \n", + "\t
      19. 0.297344785255839
        20. \n", + "\t
      20. 0.272093928613198
        21. \n", + "\t
      21. 0.18262564408861
        22. \n", + "\t
      22. 0.236674601015356
        23. \n", + "\t
      23. 0.1737854687905
        24. \n", + "\t
      24. 0.249827393322475
        25. \n", + "\t
      25. 0.433514318188653
        26. \n", + "\t
      26. 0.226014977650781
        27. \n", + "\t
      27. 0.291054051846608
        28. \n", + "\t
      28. 0.45992331586498
        29. \n", + "\t
      29. 0.472088476275039
        30. \n", + "\t
      30. 0.286256362161534
        31. \n", + "\t
      31. 0.278579927501468
        32. \n", + "\t
      32. 0.314922366918614
        33. \n", + "\t
      33. 0.176557346425125
        34. \n", + "\t
      34. 0.334977602680081
        35. \n", + "\t
      35. 0.19981666277908
        36. \n", + "\t
      36. 0.278260668517037
        37. \n", + "\t
      37. 0.376541655661633
        38. \n", + "\t
      38. 0.325228432501203
        39. \n", + "\t
      39. 0.216220955814083
        40. \n", + "\t
      40. 0.281449213309647
        41. \n", + "\t
      41. 0.290210096892264
        42. \n", + "\t
      42. 0.293288635016839
        43. \n", + "\t
      43. 0.31016874385987
        44. \n", + "\t
      44. 0.270943643649296
        45. \n", + "\t
      45. 0.327930533646626
        46. \n", + "\t
      46. 0.242813628611654
        47. \n", + "\t
      47. 0.173889326893391
        48. \n", + "\t
      48. 0.239496166976903
        49. \n", + "\t
      49. 0.346989894720409
        50. \n", + "\t
      50. 0.437295649681197
        51. \n", + "\t
      51. 0.245033166759776
        52. \n", + "\t
      52. 0.253905970043732
        53. \n", + "\t
      53. 0.338495775131814
        54. \n", + "\t
      54. 0.395410258122269
        55. \n", + "\t
      55. 0.263289340113972
        56. \n", + "\t
      56. 0.269883197934349
        57. \n", + "\t
      57. 0.418309749027927
        58. \n", + "\t
      58. 0.274078798447618
        59. \n", + "\t
      59. 0.123944773657619
        60. \n", + "\t
      60. 0.190359304113838
        61. \n", + "\t
      61. 0.195614428416121
        62. \n", + "\t
      62. 0.240616828819152
        63. \n", + "\t
      63. 0.27037356883636
        64. \n", + "\t
      64. 0.28429984602443
        65. \n", + "\t
      65. 0.259064320230833
        66. \n", + "\t
      66. 0.394220863460136
        67. \n", + "\t
      67. 0.236751066215911
        68. \n", + "\t
      68. 0.23242475475217
        69. \n", + "\t
      69. 0.19747775070213
        70. \n", + "\t
      70. 0.230069269756065
        71. \n", + "\t
      71. 0.268771147074394
        72. \n", + "\t
      72. 0.19516499422227
        73. \n", + "\t
      73. 0.345043200540971
        74. \n", + "\t
      74. 0.178591437418084
        75. \n", + "\t
      75. 0.317213424446421
        76. \n", + "\t
      76. 0.341384847020816
        77. \n", + "\t
      77. 0.21124886076649
        78. \n", + "\t
      78. 0.349450851646087
        79. \n", + "\t
      79. 0.421071710164944
        80. \n", + "\t
      80. 0.266769849298689
        81. \n", + "\t
      81. 0.320531939347259
        82. \n", + "\t
      82. 0.275023920810954
        83. \n", + "\t
      83. 0.271478621253451
        84. \n", + "\t
      84. 0.307857676214171
        85. \n", + "\t
      85. 0.333378229277609
        86. \n", + "\t
      86. 0.169708083584498
        87. \n", + "\t
      87. 0.229513985779612
        88. \n", + "\t
      88. 0.313159444413232
        89. \n", + "\t
      89. 0.139173106002951
        90. \n", + "\t
      90. 0.114635779927061
        91. \n", + "\t
      91. 0.212354291628808
        92. \n", + "\t
      92. 0.235808262492705
        93. \n", + "\t
      93. 0.295391593895559
        94. \n", + "\t
      94. 0.277837538762062
        95. \n", + "\t
      95. 0.310285750703994
        96. \n", + "\t
      96. 0.289180724737966
        97. \n", + "\t
      97. 0.326835538092061
        98. \n", + "\t
      98. 0.168847788315267
        99. \n", + "\t
      99. 0.474096644188934
        100. \n", + "\t
      100. 0.209160286667203
        101. \n", + "
      \n", + "
      78. \n", + "\t
      78. \n", + "\t
      1. 0.233088013873581
        2. \n", + "\t
      2. 0.201660043491364
        3. \n", + "\t
      3. 0.199956012741643
        4. \n", + "\t
      4. 0.283047285384346
        5. \n", + "\t
      5. 0.135533359454663
        6. \n", + "\t
      6. 0.154656007644237
        7. \n", + "\t
      7. 0.315420352719653
        8. \n", + "\t
      8. 0.260170634591742
        9. \n", + "\t
      9. 0.242817738712336
        10. \n", + "\t
      10. 0.249605134819375
        11. \n", + "\t
      11. 0.134689799444985
        12. \n", + "\t
      12. 0.236999968605429
        13. \n", + "\t
      13. 0.204036753431574
        14. \n", + "\t
      14. 0.138522704301915
        15. \n", + "\t
      15. 0.254990465727107
        16. \n", + "\t
      16. 0.167242182447346
        17. \n", + "\t
      17. 0.292145171274358
        18. \n", + "\t
      18. 0.241735054423949
        19. \n", + "\t
      19. 0.245722473352815
        20. \n", + "\t
      20. 0.258881546494961
        21. \n", + "\t
      21. 0.136158746657855
        22. \n", + "\t
      22. 0.331675234872951
        23. \n", + "\t
      23. 0.122639250753158
        24. \n", + "\t
      24. 0.274614886853996
        25. \n", + "\t
      25. 0.261102151416363
        26. \n", + "\t
      26. 0.198330610576872
        27. \n", + "\t
      27. 0.197007577680007
        28. \n", + "\t
      28. 0.210471292160907
        29. \n", + "\t
      29. 0.147022225603938
        30. \n", + "\t
      30. 0.395692437609187
        31. \n", + "\t
      31. 0.215339073903493
        32. \n", + "\t
      32. 0.21480590814977
        33. \n", + "\t
      33. 0.237766241738941
        34. \n", + "\t
      34. 0.231000813329893
        35. \n", + "\t
      35. 0.331062712618266
        36. \n", + "\t
      36. 0.235450345609399
        37. \n", + "\t
      37. 0.119106222361266
        38. \n", + "\t
      38. 0.200165311777299
        39. \n", + "\t
      39. 0.267505914968748
        40. \n", + "\t
      40. 0.0754532238470563
        41. \n", + "\t
      41. 0.287378466969493
        42. \n", + "\t
      42. 0.171047532518652
        43. \n", + "\t
      43. 0.14377009592923
        44. \n", + "\t
      44. 0.202709860983719
        45. \n", + "\t
      45. 0.197311246994507
        46. \n", + "\t
      46. 0.209966417222431
        47. \n", + "\t
      47. 0.187658882943344
        48. \n", + "\t
      48. 0.342126238117055
        49. \n", + "\t
      49. 0.14115237106374
        50. \n", + "\t
      50. 0.367446816854853
        51. \n", + "\t
      51. 0.264976682384528
        52. \n", + "\t
      52. 0.304124307901976
        53. \n", + "\t
      53. 0.166491023838626
        54. \n", + "\t
      54. 0.158041439537573
        55. \n", + "\t
      55. 0.257511877828771
        56. \n", + "\t
      56. 0.16167703305385
        57. \n", + "\t
      57. 0.197221950389315
        58. \n", + "\t
      58. 0.224767316418206
        59. \n", + "\t
      59. 0.223002681287158
        60. \n", + "\t
      60. 0.187680857331601
        61. \n", + "\t
      61. 0.199999388136449
        62. \n", + "\t
      62. 0.210190054230203
        63. \n", + "\t
      63. 0.276284896162682
        64. \n", + "\t
      64. 0.364405217519777
        65. \n", + "\t
      65. 0.164989372313936
        66. \n", + "\t
      66. 0.290744288921271
        67. \n", + "\t
      67. 0.172921337710275
        68. \n", + "\t
      68. 0.286784979771048
        69. \n", + "\t
      69. 0.199653367342237
        70. \n", + "\t
      70. 0.218274210414277
        71. \n", + "\t
      71. 0.0919748102010983
        72. \n", + "\t
      72. 0.204342457690493
        73. \n", + "\t
      73. 0.27239560547781
        74. \n", + "\t
      74. 0.170393535002938
        75. \n", + "\t
      75. 0.333097037856093
        76. \n", + "\t
      76. 0.222360124959766
        77. \n", + "\t
      77. 0.236668862804253
        78. \n", + "\t
      78. 0.236703123867647
        79. \n", + "\t
      79. 0.158856937757052
        80. \n", + "\t
      80. 0.218341079876646
        81. \n", + "\t
      81. 0.218551967900574
        82. \n", + "\t
      82. 0.269651944745877
        83. \n", + "\t
      83. 0.360755249248124
        84. \n", + "\t
      84. 0.152770200253047
        85. \n", + "\t
      85. 0.255039245240351
        86. \n", + "\t
      86. 0.283485749372937
        87. \n", + "\t
      87. 0.196623093289031
        88. \n", + "\t
      88. 0.192691175559
        89. \n", + "\t
      89. 0.178084378181022
        90. \n", + "\t
      90. 0.11249631991471
        91. \n", + "\t
      91. 0.203253984610999
        92. \n", + "\t
      92. 0.257562567405592
        93. \n", + "\t
      93. 0.193825907866756
        94. \n", + "\t
      94. 0.219728186901842
        95. \n", + "\t
      95. 0.250661859548762
        96. \n", + "\t
      96. 0.269010313521587
        97. \n", + "\t
      97. 0.219146941054519
        98. \n", + "\t
      98. 0.18305889223939
        99. \n", + "\t
      99. 0.220328556608396
        100. \n", + "\t
      100. 0.169087552211808
        101. \n", + "
      \n", + "
      79. \n", + "\t
      79. \n", + "\t
      1. 0.393863501157762
        2. \n", + "\t
      2. 0.297871701089679
        3. \n", + "\t
      3. 0.337820283394317
        4. \n", + "\t
      4. 0.436246001142731
        5. \n", + "\t
      5. 0.181892337611118
        6. \n", + "\t
      6. 0.344299663706143
        7. \n", + "\t
      7. 0.287167993704836
        8. \n", + "\t
      8. 0.336526813305919
        9. \n", + "\t
      9. 0.415421989013465
        10. \n", + "\t
      10. 0.198207337294693
        11. \n", + "\t
      11. 0.221129445548852
        12. \n", + "\t
      12. 0.342511069930806
        13. \n", + "\t
      13. 0.177796608592232
        14. \n", + "\t
      14. 0.211980040515919
        15. \n", + "\t
      15. 0.348315076363332
        16. \n", + "\t
      16. 0.422759397421954
        17. \n", + "\t
      17. 0.352529123682796
        18. \n", + "\t
      18. 0.388327315463833
        19. \n", + "\t
      19. 0.234326523551222
        20. \n", + "\t
      20. 0.400496463572224
        21. \n", + "\t
      21. 0.341804224395946
        22. \n", + "\t
      22. 0.353907414515809
        23. \n", + "\t
      23. 0.389938720712984
        24. \n", + "\t
      24. 0.408377437624993
        25. \n", + "\t
      25. 0.277511342222557
        26. \n", + "\t
      26. 0.313730928526663
        27. \n", + "\t
      27. 0.379170562657208
        28. \n", + "\t
      28. 0.313211294359937
        29. \n", + "\t
      29. 0.290399893765918
        30. \n", + "\t
      30. 0.304655711966612
        31. \n", + "\t
      31. 0.140431108954925
        32. \n", + "\t
      32. 0.37853543759174
        33. \n", + "\t
      33. 0.266887249549711
        34. \n", + "\t
      34. 0.330526646312555
        35. \n", + "\t
      35. 0.341464699682667
        36. \n", + "\t
      36. 0.273533201950843
        37. \n", + "\t
      37. 0.177822552878182
        38. \n", + "\t
      38. 0.418071842048993
        39. \n", + "\t
      39. 0.246857576857717
        40. \n", + "\t
      40. 0.185689799584469
        41. \n", + "\t
      41. 0.158264184357313
        42. \n", + "\t
      42. 0.26591173122648
        43. \n", + "\t
      43. 0.313321913930477
        44. \n", + "\t
      44. 0.400528630801805
        45. \n", + "\t
      45. 0.158527531821205
        46. \n", + "\t
      46. 0.308370939800054
        47. \n", + "\t
      47. 0.181689774345736
        48. \n", + "\t
      48. 0.271747395477678
        49. \n", + "\t
      49. 0.378795510716737
        50. \n", + "\t
      50. 0.216424337137932
        51. \n", + "\t
      51. 0.340081650320483
        52. \n", + "\t
      52. 0.317943739496937
        53. \n", + "\t
      53. 0.369806232780103
        54. \n", + "\t
      54. 0.240784228140946
        55. \n", + "\t
      55. 0.404039249545206
        56. \n", + "\t
      56. 0.153579037079112
        57. \n", + "\t
      57. 0.399727939770459
        58. \n", + "\t
      58. 0.318241938190536
        59. \n", + "\t
      59. 0.127839212421335
        60. \n", + "\t
      60. 0.524859593816099
        61. \n", + "\t
      61. 0.25750221813915
        62. \n", + "\t
      62. 0.344854347132644
        63. \n", + "\t
      63. 0.35141902140298
        64. \n", + "\t
      64. 0.25202915625017
        65. \n", + "\t
      65. 0.339922235104643
        66. \n", + "\t
      66. 0.220615198126264
        67. \n", + "\t
      67. 0.372012667891761
        68. \n", + "\t
      68. 0.164082455859851
        69. \n", + "\t
      69. 0.371141413084694
        70. \n", + "\t
      70. 0.100891961435812
        71. \n", + "\t
      71. 0.368462328998752
        72. \n", + "\t
      72. 0.2618651020718
        73. \n", + "\t
      73. 0.319408120741844
        74. \n", + "\t
      74. 0.214194205451444
        75. \n", + "\t
      75. 0.0909424491120728
        76. \n", + "\t
      76. 0.267139129832698
        77. \n", + "\t
      77. 0.149238328755671
        78. \n", + "\t
      78. 0.357737548860587
        79. \n", + "\t
      79. 0.352896567778976
        80. \n", + "\t
      80. 0.383829367762762
        81. \n", + "\t
      81. 0.176386384423304
        82. \n", + "\t
      82. 0.283559896476314
        83. \n", + "\t
      83. 0.398636033786961
        84. \n", + "\t
      84. 0.181003743013709
        85. \n", + "\t
      85. 0.42378561310543
        86. \n", + "\t
      86. 0.276721491566796
        87. \n", + "\t
      87. 0.200125498242667
        88. \n", + "\t
      88. 0.370930227522934
        89. \n", + "\t
      89. 0.258689102138521
        90. \n", + "\t
      90. 0.299359004377397
        91. \n", + "\t
      91. 0.319794509222464
        92. \n", + "\t
      92. 0.148875953235905
        93. \n", + "\t
      93. 0.255320958995424
        94. \n", + "\t
      94. 0.322694639022193
        95. \n", + "\t
      95. 0.354721224548555
        96. \n", + "\t
      96. 0.28870361024795
        97. \n", + "\t
      97. 0.32416853959627
        98. \n", + "\t
      98. 0.234924967652547
        99. \n", + "\t
      99. 0.373320123019098
        100. \n", + "\t
      100. 0.279944229153814
        101. \n", + "
      \n", + "
      80. \n", + "\t
      80. \n", + "\t
      1. 0.332094052715957
        2. \n", + "\t
      2. 0.38459339128965
        3. \n", + "\t
      3. 0.257790727274016
        4. \n", + "\t
      4. 0.429031869309229
        5. \n", + "\t
      5. 0.293391175751635
        6. \n", + "\t
      6. 0.517728485428523
        7. \n", + "\t
      7. 0.459536473162474
        8. \n", + "\t
      8. 0.368849410330185
        9. \n", + "\t
      9. 0.398180472391755
        10. \n", + "\t
      10. 0.196005924623202
        11. \n", + "\t
      11. 0.383686718869268
        12. \n", + "\t
      12. 0.314063339424164
        13. \n", + "\t
      13. 0.250366806140339
        14. \n", + "\t
      14. 0.226269053120348
        15. \n", + "\t
      15. 0.252287851752192
        16. \n", + "\t
      16. 0.229864460536448
        17. \n", + "\t
      17. 0.227105727270748
        18. \n", + "\t
      18. 0.430781412672353
        19. \n", + "\t
      19. 0.250704437404843
        20. \n", + "\t
      20. 0.281955621584668
        21. \n", + "\t
      21. 0.348429254968843
        22. \n", + "\t
      22. 0.193561675202305
        23. \n", + "\t
      23. 0.420168429210769
        24. \n", + "\t
      24. 0.432606837455864
        25. \n", + "\t
      25. 0.330117109250537
        26. \n", + "\t
      26. 0.326964750450783
        27. \n", + "\t
      27. 0.33757885381746
        28. \n", + "\t
      28. 0.284721558826008
        29. \n", + "\t
      29. 0.208736823311629
        30. \n", + "\t
      30. 0.183210366757552
        31. \n", + "\t
      31. 0.248473169794706
        32. \n", + "\t
      32. 0.394265069630003
        33. \n", + "\t
      33. 0.219736170953839
        34. \n", + "\t
      34. 0.255676083227824
        35. \n", + "\t
      35. 0.348283388737671
        36. \n", + "\t
      36. 0.375635125736225
        37. \n", + "\t
      37. 0.351353722484705
        38. \n", + "\t
      38. 0.504221220972763
        39. \n", + "\t
      39. 0.426185765977294
        40. \n", + "\t
      40. 0.407151286934365
        41. \n", + "\t
      41. 0.315680578760205
        42. \n", + "\t
      42. 0.310665242412491
        43. \n", + "\t
      43. 0.306666517642329
        44. \n", + "\t
      44. 0.438310122193884
        45. \n", + "\t
      45. 0.276017408939042
        46. \n", + "\t
      46. 0.209987475642999
        47. \n", + "\t
      47. 0.270953481769242
        48. \n", + "\t
      48. 0.28018615882651
        49. \n", + "\t
      49. 0.231650757547992
        50. \n", + "\t
      50. 0.175270680690561
        51. \n", + "\t
      51. 0.260367685343936
        52. \n", + "\t
      52. 0.20977303390689
        53. \n", + "\t
      53. 0.2675175209654
        54. \n", + "\t
      54. 0.316232783562894
        55. \n", + "\t
      55. 0.440317957264721
        56. \n", + "\t
      56. 0.380525376016376
        57. \n", + "\t
      57. 0.421790306403328
        58. \n", + "\t
      58. 0.224991617380858
        59. \n", + "\t
      59. 0.171838991407413
        60. \n", + "\t
      60. 0.337164757606371
        61. \n", + "\t
      61. 0.322785065435542
        62. \n", + "\t
      62. 0.438041544227693
        63. \n", + "\t
      63. 0.276777020224546
        64. \n", + "\t
      64. 0.484852369492828
        65. \n", + "\t
      65. 0.244419696602834
        66. \n", + "\t
      66. 0.147270333980508
        67. \n", + "\t
      67. 0.289123967581485
        68. \n", + "\t
      68. 0.356404629354403
        69. \n", + "\t
      69. 0.165713441702805
        70. \n", + "\t
      70. 0.411344977941313
        71. \n", + "\t
      71. 0.311000161185839
        72. \n", + "\t
      72. 0.129407771395951
        73. \n", + "\t
      73. 0.312077668723457
        74. \n", + "\t
      74. 0.301128231889547
        75. \n", + "\t
      75. 0.302896089944366
        76. \n", + "\t
      76. 0.390135742236613
        77. \n", + "\t
      77. 0.372631131884289
        78. \n", + "\t
      78. 0.260366991694118
        79. \n", + "\t
      79. 0.371811482451608
        80. \n", + "\t
      80. 0.31818510375338
        81. \n", + "\t
      81. 0.370538158188213
        82. \n", + "\t
      82. 0.260411113287534
        83. \n", + "\t
      83. 0.161850381559451
        84. \n", + "\t
      84. 0.352157736561163
        85. \n", + "\t
      85. 0.405044555786461
        86. \n", + "\t
      86. 0.39725207928276
        87. \n", + "\t
      87. 0.192664587249384
        88. \n", + "\t
      88. 0.264847797901889
        89. \n", + "\t
      89. 0.292477369868621
        90. \n", + "\t
      90. 0.372144216292336
        91. \n", + "\t
      91. 0.239246698860756
        92. \n", + "\t
      92. 0.455447055596159
        93. \n", + "\t
      93. 0.472702406132539
        94. \n", + "\t
      94. 0.274266180163881
        95. \n", + "\t
      95. 0.460593229518649
        96. \n", + "\t
      96. 0.256504830882852
        97. \n", + "\t
      97. 0.258622205454278
        98. \n", + "\t
      98. 0.211282720727456
        99. \n", + "\t
      99. 0.273901035535914
        100. \n", + "\t
      100. 0.404573989749531
        101. \n", + "
      \n", + "
      81. \n", + "\t
      81. \n", + "\t
      1. 0.324886659465855
        2. \n", + "\t
      2. 0.406992070910554
        3. \n", + "\t
      3. 0.410421184686526
        4. \n", + "\t
      4. 0.225293544794122
        5. \n", + "\t
      5. 0.37976908686233
        6. \n", + "\t
      6. 0.252638157980558
        7. \n", + "\t
      7. 0.248134480995439
        8. \n", + "\t
      8. 0.312558149404987
        9. \n", + "\t
      9. 0.47334229318646
        10. \n", + "\t
      10. 0.170039644185123
        11. \n", + "\t
      11. 0.219707589459376
        12. \n", + "\t
      12. 0.394946234968008
        13. \n", + "\t
      13. 0.425533710288862
        14. \n", + "\t
      14. 0.351705328330736
        15. \n", + "\t
      15. 0.266488118405278
        16. \n", + "\t
      16. 0.219256111878091
        17. \n", + "\t
      17. 0.249592472396185
        18. \n", + "\t
      18. 0.227109214832114
        19. \n", + "\t
      19. 0.231126846630639
        20. \n", + "\t
      20. 0.267511312623457
        21. \n", + "\t
      21. 0.451807779770882
        22. \n", + "\t
      22. 0.301991332369832
        23. \n", + "\t
      23. 0.270605613494991
        24. \n", + "\t
      24. 0.131417721256157
        25. \n", + "\t
      25. 0.315527221926289
        26. \n", + "\t
      26. 0.116265124603797
        27. \n", + "\t
      27. 0.309900696364287
        28. \n", + "\t
      28. 0.276053185239376
        29. \n", + "\t
      29. 0.310669496261476
        30. \n", + "\t
      30. 0.18800005842067
        31. \n", + "\t
      31. 0.264611997518171
        32. \n", + "\t
      32. 0.179115804413295
        33. \n", + "\t
      33. 0.37435850058059
        34. \n", + "\t
      34. 0.327278618938178
        35. \n", + "\t
      35. 0.361577567030091
        36. \n", + "\t
      36. 0.20134440053121
        37. \n", + "\t
      37. 0.307438651581005
        38. \n", + "\t
      38. 0.101234582797667
        39. \n", + "\t
      39. 0.411672342343544
        40. \n", + "\t
      40. 0.327093432628097
        41. \n", + "\t
      41. 0.244240440811977
        42. \n", + "\t
      42. 0.360192584461405
        43. \n", + "\t
      43. 0.183900207937564
        44. \n", + "\t
      44. 0.276664887566834
        45. \n", + "\t
      45. 0.390174986881815
        46. \n", + "\t
      46. 0.220058145435218
        47. \n", + "\t
      47. 0.395646605066006
        48. \n", + "\t
      48. 0.277196714930863
        49. \n", + "\t
      49. 0.467252181810459
        50. \n", + "\t
      50. 0.258776860230322
        51. \n", + "\t
      51. 0.0954824650250838
        52. \n", + "\t
      52. 0.0941300069196893
        53. \n", + "\t
      53. 0.282900855923415
        54. \n", + "\t
      54. 0.178049331179771
        55. \n", + "\t
      55. 0.385375341260615
        56. \n", + "\t
      56. 0.339407235570559
        57. \n", + "\t
      57. 0.309336850008251
        58. \n", + "\t
      58. 0.316465557021142
        59. \n", + "\t
      59. 0.281829338871636
        60. \n", + "\t
      60. 0.232958026925668
        61. \n", + "\t
      61. 0.365490621047744
        62. \n", + "\t
      62. 0.351511030884661
        63. \n", + "\t
      63. 0.365444996477281
        64. \n", + "\t
      64. 0.398103473833966
        65. \n", + "\t
      65. 0.213163861020901
        66. \n", + "\t
      66. 0.29302791113003
        67. \n", + "\t
      67. 0.280577056403003
        68. \n", + "\t
      68. 0.390032439499356
        69. \n", + "\t
      69. 0.350183626841835
        70. \n", + "\t
      70. 0.376555205481408
        71. \n", + "\t
      71. 0.157677599264355
        72. \n", + "\t
      72. 0.279911391163092
        73. \n", + "\t
      73. 0.144676472419895
        74. \n", + "\t
      74. 0.271616941020686
        75. \n", + "\t
      75. 0.290868728798419
        76. \n", + "\t
      76. 0.40353554163585
        77. \n", + "\t
      77. 0.0950883690995745
        78. \n", + "\t
      78. 0.210311999651723
        79. \n", + "\t
      79. 0.234174884332271
        80. \n", + "\t
      80. 0.181696379123222
        81. \n", + "\t
      81. 0.26396344220863
        82. \n", + "\t
      82. 0.160296691346422
        83. \n", + "\t
      83. 0.351499829651468
        84. \n", + "\t
      84. 0.326763930501342
        85. \n", + "\t
      85. 0.349400915523171
        86. \n", + "\t
      86. 0.313360325062167
        87. \n", + "\t
      87. 0.285033900445681
        88. \n", + "\t
      88. 0.345863436479808
        89. \n", + "\t
      89. 0.301094838303606
        90. \n", + "\t
      90. 0.367286550889255
        91. \n", + "\t
      91. 0.391163523190218
        92. \n", + "\t
      92. 0.273193095322889
        93. \n", + "\t
      93. 0.259423657404909
        94. \n", + "\t
      94. 0.173425869877843
        95. \n", + "\t
      95. 0.242351184509777
        96. \n", + "\t
      96. 0.318691466825827
        97. \n", + "\t
      97. 0.297516297410021
        98. \n", + "\t
      98. 0.295048661183576
        99. \n", + "\t
      99. 0.150690745759296
        100. \n", + "\t
      100. 0.211587877279169
        101. \n", + "
      \n", + "
      82. \n", + "\t
      82. \n", + "\t
      1. 0.370708598080032
        2. \n", + "\t
      2. 0.178799797805531
        3. \n", + "\t
      3. 0.183773153534862
        4. \n", + "\t
      4. 0.374489570694495
        5. \n", + "\t
      5. 0.255763132759401
        6. \n", + "\t
      6. 0.234056031442083
        7. \n", + "\t
      7. 0.288049611719215
        8. \n", + "\t
      8. 0.273920198829169
        9. \n", + "\t
      9. 0.367890338421532
        10. \n", + "\t
      10. 0.296316600234512
        11. \n", + "\t
      11. 0.236080521333803
        12. \n", + "\t
      12. 0.195193106696145
        13. \n", + "\t
      13. 0.292009070509115
        14. \n", + "\t
      14. 0.274568371050966
        15. \n", + "\t
      15. 0.185724318656489
        16. \n", + "\t
      16. 0.450634118073178
        17. \n", + "\t
      17. 0.281574921648685
        18. \n", + "\t
      18. 0.290826026808897
        19. \n", + "\t
      19. 0.199052164236997
        20. \n", + "\t
      20. 0.309841955935421
        21. \n", + "\t
      21. 0.290261485148646
        22. \n", + "\t
      22. 0.357196419984881
        23. \n", + "\t
      23. 0.187209457999595
        24. \n", + "\t
      24. 0.399425969775074
        25. \n", + "\t
      25. 0.34768677379568
        26. \n", + "\t
      26. 0.380813742112539
        27. \n", + "\t
      27. 0.311654937583673
        28. \n", + "\t
      28. 0.295965823159187
        29. \n", + "\t
      29. 0.366778594689628
        30. \n", + "\t
      30. 0.330405140034284
        31. \n", + "\t
      31. 0.307069212573278
        32. \n", + "\t
      32. 0.25488167927238
        33. \n", + "\t
      33. 0.22866377037818
        34. \n", + "\t
      34. 0.311122769851216
        35. \n", + "\t
      35. 0.159590449678469
        36. \n", + "\t
      36. 0.126174128462461
        37. \n", + "\t
      37. 0.336198687089353
        38. \n", + "\t
      38. 0.177259093553216
        39. \n", + "\t
      39. 0.299709416267021
        40. \n", + "\t
      40. 0.242953451619538
        41. \n", + "\t
      41. 0.185637165740092
        42. \n", + "\t
      42. 0.138927203421678
        43. \n", + "\t
      43. 0.375097807793825
        44. \n", + "\t
      44. 0.320320241290937
        45. \n", + "\t
      45. 0.336312164744381
        46. \n", + "\t
      46. 0.436842392821616
        47. \n", + "\t
      47. 0.31225893766212
        48. \n", + "\t
      48. 0.157831396412195
        49. \n", + "\t
      49. 0.136235438921579
        50. \n", + "\t
      50. 0.363046516267496
        51. \n", + "\t
      51. 0.253737245937679
        52. \n", + "\t
      52. 0.211157424067052
        53. \n", + "\t
      53. 0.390423472397378
        54. \n", + "\t
      54. 0.32547746454755
        55. \n", + "\t
      55. 0.267351321145354
        56. \n", + "\t
      56. 0.253844797199875
        57. \n", + "\t
      57. 0.117210157282305
        58. \n", + "\t
      58. 0.345639618026518
        59. \n", + "\t
      59. 0.32090472515261
        60. \n", + "\t
      60. 0.3815000088839
        61. \n", + "\t
      61. 0.30008405772251
        62. \n", + "\t
      62. 0.307587881885152
        63. \n", + "\t
      63. 0.364406502717354
        64. \n", + "\t
      64. 0.348823594049645
        65. \n", + "\t
      65. 0.242200902978348
        66. \n", + "\t
      66. 0.3373648323614
        67. \n", + "\t
      67. 0.252769617388977
        68. \n", + "\t
      68. 0.226798004861141
        69. \n", + "\t
      69. 0.218909782938336
        70. \n", + "\t
      70. 0.309188314503881
        71. \n", + "\t
      71. 0.201241381825896
        72. \n", + "\t
      72. 0.366628629474554
        73. \n", + "\t
      73. 0.195976565604624
        74. \n", + "\t
      74. 0.276914238126956
        75. \n", + "\t
      75. 0.280250956944628
        76. \n", + "\t
      76. 0.342718874086175
        77. \n", + "\t
      77. 0.300187063822915
        78. \n", + "\t
      78. 0.323913366988501
        79. \n", + "\t
      79. 0.19384561969623
        80. \n", + "\t
      80. 0.239527929142778
        81. \n", + "\t
      81. 0.405433224468348
        82. \n", + "\t
      82. 0.276070876132097
        83. \n", + "\t
      83. 0.344827145381863
        84. \n", + "\t
      84. 0.273814876575377
        85. \n", + "\t
      85. 0.296761896209209
        86. \n", + "\t
      86. 0.30463446998812
        87. \n", + "\t
      87. 0.332942582558952
        88. \n", + "\t
      88. 0.351933467325804
        89. \n", + "\t
      89. 0.201583049083599
        90. \n", + "\t
      90. 0.303398768130819
        91. \n", + "\t
      91. 0.34660370223661
        92. \n", + "\t
      92. 0.13016229683115
        93. \n", + "\t
      93. 0.183415405580014
        94. \n", + "\t
      94. 0.497298502828086
        95. \n", + "\t
      95. 0.442324725866373
        96. \n", + "\t
      96. 0.30892025451515
        97. \n", + "\t
      97. 0.354306687348965
        98. \n", + "\t
      98. 0.300160506260149
        99. \n", + "\t
      99. 0.269190250521237
        100. \n", + "\t
      100. 0.395452354450928
        101. \n", + "
      \n", + "
      83. \n", + "\t
      83. \n", + "\t
      1. 0.331349106897655
        2. \n", + "\t
      2. 0.193206482046385
        3. \n", + "\t
      3. 0.352607086582242
        4. \n", + "\t
      4. 0.287875329578591
        5. \n", + "\t
      5. 0.235686392362555
        6. \n", + "\t
      6. 0.312911524749849
        7. \n", + "\t
      7. 0.222363801593408
        8. \n", + "\t
      8. 0.317845237730952
        9. \n", + "\t
      9. 0.424975037842138
        10. \n", + "\t
      10. 0.311271575399169
        11. \n", + "\t
      11. 0.169176128547837
        12. \n", + "\t
      12. 0.208355945569871
        13. \n", + "\t
      13. 0.306832024319176
        14. \n", + "\t
      14. 0.273483153161196
        15. \n", + "\t
      15. 0.181085927760216
        16. \n", + "\t
      16. 0.31186740150702
        17. \n", + "\t
      17. 0.171447161390544
        18. \n", + "\t
      18. 0.257315961741083
        19. \n", + "\t
      19. 0.264205175558327
        20. \n", + "\t
      20. 0.419327434335237
        21. \n", + "\t
      21. 0.324152756730539
        22. \n", + "\t
      22. 0.131105594367587
        23. \n", + "\t
      23. 0.298796058849033
        24. \n", + "\t
      24. 0.388409197444241
        25. \n", + "\t
      25. 0.334745069524974
        26. \n", + "\t
      26. 0.102940503658481
        27. \n", + "\t
      27. 0.0884187599732586
        28. \n", + "\t
      28. 0.217919304722522
        29. \n", + "\t
      29. 0.365188343621737
        30. \n", + "\t
      30. 0.178795931150322
        31. \n", + "\t
      31. 0.392022059156995
        32. \n", + "\t
      32. 0.298628591061981
        33. \n", + "\t
      33. 0.255266911623871
        34. \n", + "\t
      34. 0.268902979682608
        35. \n", + "\t
      35. 0.228510826448985
        36. \n", + "\t
      36. 0.290006562944421
        37. \n", + "\t
      37. 0.28487753981115
        38. \n", + "\t
      38. 0.241012049305086
        39. \n", + "\t
      39. 0.308246190114805
        40. \n", + "\t
      40. 0.272670271410493
        41. \n", + "\t
      41. 0.274055264267124
        42. \n", + "\t
      42. 0.322776000266429
        43. \n", + "\t
      43. 0.441729702645671
        44. \n", + "\t
      44. 0.161248866177967
        45. \n", + "\t
      45. 0.295177938660128
        46. \n", + "\t
      46. 0.345694143377109
        47. \n", + "\t
      47. 0.286372304592337
        48. \n", + "\t
      48. 0.354822562050024
        49. \n", + "\t
      49. 0.208897210371959
        50. \n", + "\t
      50. 0.297404072187569
        51. \n", + "\t
      51. 0.205198990131866
        52. \n", + "\t
      52. 0.153611320029215
        53. \n", + "\t
      53. 0.312722900695584
        54. \n", + "\t
      54. 0.182648140478649
        55. \n", + "\t
      55. 0.12145447580509
        56. \n", + "\t
      56. 0.291018704707156
        57. \n", + "\t
      57. 0.158189138959561
        58. \n", + "\t
      58. 0.250836415249212
        59. \n", + "\t
      59. 0.312321345627764
        60. \n", + "\t
      60. 0.231124749808502
        61. \n", + "\t
      61. 0.247973826294419
        62. \n", + "\t
      62. 0.164324336635726
        63. \n", + "\t
      63. 0.114647519222729
        64. \n", + "\t
      64. 0.351139494974118
        65. \n", + "\t
      65. 0.346454008101382
        66. \n", + "\t
      66. 0.368000284798704
        67. \n", + "\t
      67. 0.264989903747934
        68. \n", + "\t
      68. 0.167932221900513
        69. \n", + "\t
      69. 0.169731225457074
        70. \n", + "\t
      70. 0.309011789252755
        71. \n", + "\t
      71. 0.330261916049216
        72. \n", + "\t
      72. 0.358467375044829
        73. \n", + "\t
      73. 0.177723599417606
        74. \n", + "\t
      74. 0.271394952011462
        75. \n", + "\t
      75. 0.433075000966365
        76. \n", + "\t
      76. 0.133539472260102
        77. \n", + "\t
      77. 0.292046002010255
        78. \n", + "\t
      78. 0.325494689812776
        79. \n", + "\t
      79. 0.181714503375042
        80. \n", + "\t
      80. 0.207301893982436
        81. \n", + "\t
      81. 0.29048436955201
        82. \n", + "\t
      82. 0.166761791984206
        83. \n", + "\t
      83. 0.371446535462089
        84. \n", + "\t
      84. 0.35959818798824
        85. \n", + "\t
      85. 0.330983503851952
        86. \n", + "\t
      86. 0.235204561462817
        87. \n", + "\t
      87. 0.226555229022301
        88. \n", + "\t
      88. 0.259665706044857
        89. \n", + "\t
      89. 0.3342711929422
        90. \n", + "\t
      90. 0.325507357561984
        91. \n", + "\t
      91. 0.125723747997091
        92. \n", + "\t
      92. 0.242458178081336
        93. \n", + "\t
      93. 0.528902755243746
        94. \n", + "\t
      94. 0.340749567558354
        95. \n", + "\t
      95. 0.31311417010904
        96. \n", + "\t
      96. 0.274003309637312
        97. \n", + "\t
      97. 0.29758597567883
        98. \n", + "\t
      98. 0.192316000999566
        99. \n", + "\t
      99. 0.423913024860957
        100. \n", + "\t
      100. 0.0944356124587745
        101. \n", + "
      \n", + "
      84. \n", + "\t
      84. \n", + "\t
      1. 0.244979358657122
        2. \n", + "\t
      2. 0.0948999374739801
        3. \n", + "\t
      3. 0.251578228842645
        4. \n", + "\t
      4. 0.249667552665859
        5. \n", + "\t
      5. 0.288974269154267
        6. \n", + "\t
      6. 0.213469601411855
        7. \n", + "\t
      7. 0.20140942178416
        8. \n", + "\t
      8. 0.38901600784135
        9. \n", + "\t
      9. 0.326939223594339
        10. \n", + "\t
      10. 0.229814262140229
        11. \n", + "\t
      11. 0.318327386442776
        12. \n", + "\t
      12. 0.279757229718534
        13. \n", + "\t
      13. 0.27617282483111
        14. \n", + "\t
      14. 0.358883727949631
        15. \n", + "\t
      15. 0.392854469523849
        16. \n", + "\t
      16. 0.229494326687697
        17. \n", + "\t
      17. 0.344961088138146
        18. \n", + "\t
      18. 0.326959112295921
        19. \n", + "\t
      19. 0.2841970928827
        20. \n", + "\t
      20. 0.258168131705379
        21. \n", + "\t
      21. 0.245718790346277
        22. \n", + "\t
      22. 0.378273921836627
        23. \n", + "\t
      23. 0.224570103660078
        24. \n", + "\t
      24. 0.249665782260479
        25. \n", + "\t
      25. 0.311249216976197
        26. \n", + "\t
      26. 0.215291559642569
        27. \n", + "\t
      27. 0.332660534427181
        28. \n", + "\t
      28. 0.336375913337537
        29. \n", + "\t
      29. 0.280483653231076
        30. \n", + "\t
      30. 0.323978862159999
        31. \n", + "\t
      31. 0.197848351311263
        32. \n", + "\t
      32. 0.322119673689862
        33. \n", + "\t
      33. 0.236534332870561
        34. \n", + "\t
      34. 0.283837845232171
        35. \n", + "\t
      35. 0.353875856690734
        36. \n", + "\t
      36. 0.199595416876576
        37. \n", + "\t
      37. 0.363444088080126
        38. \n", + "\t
      38. 0.2705142446258
        39. \n", + "\t
      39. 0.304485593105924
        40. \n", + "\t
      40. 0.294918195558659
        41. \n", + "\t
      41. 0.356181969654215
        42. \n", + "\t
      42. 0.233694459753665
        43. \n", + "\t
      43. 0.189034922846757
        44. \n", + "\t
      44. 0.301445899075546
        45. \n", + "\t
      45. 0.280562490433872
        46. \n", + "\t
      46. 0.30226865594029
        47. \n", + "\t
      47. 0.237049274291033
        48. \n", + "\t
      48. 0.269866360881481
        49. \n", + "\t
      49. 0.300932437400468
        50. \n", + "\t
      50. 0.286655046943509
        51. \n", + "\t
      51. 0.293264497601855
        52. \n", + "\t
      52. 0.306363629491001
        53. \n", + "\t
      53. 0.260895916438741
        54. \n", + "\t
      54. 0.264620853579156
        55. \n", + "\t
      55. 0.261187099983147
        56. \n", + "\t
      56. 0.308829356334762
        57. \n", + "\t
      57. 0.29467201437366
        58. \n", + "\t
      58. 0.279696237565325
        59. \n", + "\t
      59. 0.229263908061672
        60. \n", + "\t
      60. 0.252214537134172
        61. \n", + "\t
      61. 0.289596054064846
        62. \n", + "\t
      62. 0.339751168512726
        63. \n", + "\t
      63. 0.191837665559828
        64. \n", + "\t
      64. 0.172399021878743
        65. \n", + "\t
      65. 0.288037549442436
        66. \n", + "\t
      66. 0.280965196040492
        67. \n", + "\t
      67. 0.379634694981935
        68. \n", + "\t
      68. 0.350313448627821
        69. \n", + "\t
      69. 0.268969264442324
        70. \n", + "\t
      70. 0.291558436338441
        71. \n", + "\t
      71. 0.224888558928751
        72. \n", + "\t
      72. 0.324927875410787
        73. \n", + "\t
      73. 0.208720653694351
        74. \n", + "\t
      74. 0.269757840379364
        75. \n", + "\t
      75. 0.20668637834821
        76. \n", + "\t
      76. 0.422182342862277
        77. \n", + "\t
      77. 0.139949129659473
        78. \n", + "\t
      78. 0.207908295656543
        79. \n", + "\t
      79. 0.32880517972402
        80. \n", + "\t
      80. 0.338965232093753
        81. \n", + "\t
      81. 0.313806927405908
        82. \n", + "\t
      82. 0.311092801987128
        83. \n", + "\t
      83. 0.342908721766759
        84. \n", + "\t
      84. 0.172932395830411
        85. \n", + "\t
      85. 0.285635304827457
        86. \n", + "\t
      86. 0.288211800675467
        87. \n", + "\t
      87. 0.281480754570623
        88. \n", + "\t
      88. 0.283927329246563
        89. \n", + "\t
      89. 0.303964983490144
        90. \n", + "\t
      90. 0.246285459227315
        91. \n", + "\t
      91. 0.247409046327145
        92. \n", + "\t
      92. 0.293095000966431
        93. \n", + "\t
      93. 0.292117669878465
        94. \n", + "\t
      94. 0.256508253525646
        95. \n", + "\t
      95. 0.139986293237004
        96. \n", + "\t
      96. 0.318678135547664
        97. \n", + "\t
      97. 0.318667484560486
        98. \n", + "\t
      98. 0.281822470741504
        99. \n", + "\t
      99. 0.229343310639206
        100. \n", + "\t
      100. 0.318954804643264
        101. \n", + "
      \n", + "
      85. \n", + "\t
      85. \n", + "\t
      1. 0.196851519320353
        2. \n", + "\t
      2. 0.27927997059011
        3. \n", + "\t
      3. 0.263431754422656
        4. \n", + "\t
      4. 0.163315690007461
        5. \n", + "\t
      5. 0.27877019902343
        6. \n", + "\t
      6. 0.252329252672697
        7. \n", + "\t
      7. 0.283973306529719
        8. \n", + "\t
      8. 0.347057942065369
        9. \n", + "\t
      9. 0.389120816772467
        10. \n", + "\t
      10. 0.253700889871336
        11. \n", + "\t
      11. 0.353176911787104
        12. \n", + "\t
      12. 0.284724546751075
        13. \n", + "\t
      13. 0.290322865560699
        14. \n", + "\t
      14. 0.37464896595684
        15. \n", + "\t
      15. 0.0882009339808019
        16. \n", + "\t
      16. 0.238329276151835
        17. \n", + "\t
      17. 0.266958485759229
        18. \n", + "\t
      18. 0.175186887293252
        19. \n", + "\t
      19. 0.242856139738777
        20. \n", + "\t
      20. 0.31463110967958
        21. \n", + "\t
      21. 0.266596549396969
        22. \n", + "\t
      22. 0.290538712564051
        23. \n", + "\t
      23. 0.378100285409597
        24. \n", + "\t
      24. 0.189242113174111
        25. \n", + "\t
      25. 0.448497842552261
        26. \n", + "\t
      26. 0.207535747079596
        27. \n", + "\t
      27. 0.39697827563997
        28. \n", + "\t
      28. 0.190336626796742
        29. \n", + "\t
      29. 0.322050292999951
        30. \n", + "\t
      30. 0.222384200696703
        31. \n", + "\t
      31. 0.412259139467663
        32. \n", + "\t
      32. 0.346794468702853
        33. \n", + "\t
      33. 0.363877691952598
        34. \n", + "\t
      34. 0.244132843892985
        35. \n", + "\t
      35. 0.409633964505011
        36. \n", + "\t
      36. 0.20348143585657
        37. \n", + "\t
      37. 0.317444659949795
        38. \n", + "\t
      38. 0.214167114502841
        39. \n", + "\t
      39. 0.321359895811954
        40. \n", + "\t
      40. 0.323327975468279
        41. \n", + "\t
      41. 0.254766041280374
        42. \n", + "\t
      42. 0.322660120750269
        43. \n", + "\t
      43. 0.3084291507042
        44. \n", + "\t
      44. 0.318029243498686
        45. \n", + "\t
      45. 0.300490416597633
        46. \n", + "\t
      46. 0.360526793460859
        47. \n", + "\t
      47. 0.372466022261692
        48. \n", + "\t
      48. 0.319224044484375
        49. \n", + "\t
      49. 0.356182820446192
        50. \n", + "\t
      50. 0.145410790961727
        51. \n", + "\t
      51. 0.421268438664529
        52. \n", + "\t
      52. 0.307310936459784
        53. \n", + "\t
      53. 0.180732974985658
        54. \n", + "\t
      54. 0.3542141215105
        55. \n", + "\t
      55. 0.148701539368684
        56. \n", + "\t
      56. 0.23768821509554
        57. \n", + "\t
      57. 0.234754930835264
        58. \n", + "\t
      58. 0.230259252800343
        59. \n", + "\t
      59. 0.338038466048049
        60. \n", + "\t
      60. 0.198184457766489
        61. \n", + "\t
      61. 0.278284476384618
        62. \n", + "\t
      62. 0.372775065901618
        63. \n", + "\t
      63. 0.199004087290083
        64. \n", + "\t
      64. 0.300270435844717
        65. \n", + "\t
      65. 0.428636030949951
        66. \n", + "\t
      66. 0.230165252654789
        67. \n", + "\t
      67. 0.246155607125876
        68. \n", + "\t
      68. 0.287435451324133
        69. \n", + "\t
      69. 0.311832192402925
        70. \n", + "\t
      70. 0.31284394693899
        71. \n", + "\t
      71. 0.248927510752827
        72. \n", + "\t
      72. 0.294591797032877
        73. \n", + "\t
      73. 0.328397355871127
        74. \n", + "\t
      74. 0.372854087086518
        75. \n", + "\t
      75. 0.302333223606234
        76. \n", + "\t
      76. 0.269026439400599
        77. \n", + "\t
      77. 0.140268751996332
        78. \n", + "\t
      78. 0.151268855082756
        79. \n", + "\t
      79. 0.179053199019901
        80. \n", + "\t
      80. 0.309450070517857
        81. \n", + "\t
      81. 0.334545518425933
        82. \n", + "\t
      82. 0.246560704332715
        83. \n", + "\t
      83. 0.247526897076038
        84. \n", + "\t
      84. 0.343107794561093
        85. \n", + "\t
      85. 0.221654824486232
        86. \n", + "\t
      86. 0.363755663735867
        87. \n", + "\t
      87. 0.319487917856787
        88. \n", + "\t
      88. 0.420994609051991
        89. \n", + "\t
      89. 0.23180595089783
        90. \n", + "\t
      90. 0.221454320144416
        91. \n", + "\t
      91. 0.248984377018934
        92. \n", + "\t
      92. 0.344140126226316
        93. \n", + "\t
      93. 0.39681562487821
        94. \n", + "\t
      94. 0.344595201779217
        95. \n", + "\t
      95. 0.1322100781294
        96. \n", + "\t
      96. 0.363505454088053
        97. \n", + "\t
      97. 0.143065965633568
        98. \n", + "\t
      98. 0.396721872445415
        99. \n", + "\t
      99. 0.230422559036844
        100. \n", + "\t
      100. 0.144238888869237
        101. \n", + "
      \n", + "
      86. \n", + "\t
      86. \n", + "\t
      1. 0.421635183373581
        2. \n", + "\t
      2. 0.166096729895741
        3. \n", + "\t
      3. 0.169377473609618
        4. \n", + "\t
      4. 0.205894848417186
        5. \n", + "\t
      5. 0.171528811672173
        6. \n", + "\t
      6. 0.233715959795706
        7. \n", + "\t
      7. 0.275421004550705
        8. \n", + "\t
      8. 0.0805377298822702
        9. \n", + "\t
      9. 0.297434284218337
        10. \n", + "\t
      10. 0.15848748917125
        11. \n", + "\t
      11. 0.302945350800083
        12. \n", + "\t
      12. 0.245223957992799
        13. \n", + "\t
      13. 0.264625960427132
        14. \n", + "\t
      14. 0.241649311259129
        15. \n", + "\t
      15. 0.29028913251543
        16. \n", + "\t
      16. 0.229761562390336
        17. \n", + "\t
      17. 0.255768958164464
        18. \n", + "\t
      18. 0.100760465584538
        19. \n", + "\t
      19. 0.1895530928574
        20. \n", + "\t
      20. 0.312659739480667
        21. \n", + "\t
      21. 0.274229565034957
        22. \n", + "\t
      22. 0.261948384825757
        23. \n", + "\t
      23. 0.238708242456207
        24. \n", + "\t
      24. 0.323190360839755
        25. \n", + "\t
      25. 0.348823245078644
        26. \n", + "\t
      26. 0.254806508886571
        27. \n", + "\t
      27. 0.248515710491961
        28. \n", + "\t
      28. 0.238085950202133
        29. \n", + "\t
      29. 0.24513801002362
        30. \n", + "\t
      30. 0.259361273580367
        31. \n", + "\t
      31. 0.136679440547296
        32. \n", + "\t
      32. 0.135039674783136
        33. \n", + "\t
      33. 0.129817525738053
        34. \n", + "\t
      34. 0.331950791204113
        35. \n", + "\t
      35. 0.350075499634443
        36. \n", + "\t
      36. 0.219452618069452
        37. \n", + "\t
      37. 0.268149282082247
        38. \n", + "\t
      38. 0.121033050662711
        39. \n", + "\t
      39. 0.168663591074357
        40. \n", + "\t
      40. 0.276626875900504
        41. \n", + "\t
      41. 0.212386254847358
        42. \n", + "\t
      42. 0.210580937172676
        43. \n", + "\t
      43. 0.36310319284285
        44. \n", + "\t
      44. 0.205690269862955
        45. \n", + "\t
      45. 0.0941768604702436
        46. \n", + "\t
      46. 0.201998214814862
        47. \n", + "\t
      47. 0.223785561309569
        48. \n", + "\t
      48. 0.152922310074616
        49. \n", + "\t
      49. 0.320696798772257
        50. \n", + "\t
      50. 0.263891099162227
        51. \n", + "\t
      51. 0.0855379414541781
        52. \n", + "\t
      52. 0.28398302919772
        53. \n", + "\t
      53. 0.0812582762302142
        54. \n", + "\t
      54. 0.153925579122687
        55. \n", + "\t
      55. 0.0771184156509452
        56. \n", + "\t
      56. 0.117203496252674
        57. \n", + "\t
      57. 0.24872414123639
        58. \n", + "\t
      58. 0.19875293616229
        59. \n", + "\t
      59. 0.136580083943768
        60. \n", + "\t
      60. 0.153747952166329
        61. \n", + "\t
      61. 0.292564721400047
        62. \n", + "\t
      62. 0.318862350370779
        63. \n", + "\t
      63. 0.243366425748891
        64. \n", + "\t
      64. 0.191263288820801
        65. \n", + "\t
      65. 0.278471593204903
        66. \n", + "\t
      66. 0.293736848119673
        67. \n", + "\t
      67. 0.321328622459867
        68. \n", + "\t
      68. 0.245395609236038
        69. \n", + "\t
      69. 0.321027408982259
        70. \n", + "\t
      70. 0.182842431398013
        71. \n", + "\t
      71. 0.325365352704107
        72. \n", + "\t
      72. 0.410485905268878
        73. \n", + "\t
      73. 0.210519075372788
        74. \n", + "\t
      74. 0.205923700161665
        75. \n", + "\t
      75. 0.246894129854056
        76. \n", + "\t
      76. 0.0898707821463425
        77. \n", + "\t
      77. 0.179591492745708
        78. \n", + "\t
      78. 0.244965912847658
        79. \n", + "\t
      79. 0.335758829520783
        80. \n", + "\t
      80. 0.354836274821408
        81. \n", + "\t
      81. 0.244270301662192
        82. \n", + "\t
      82. 0.151553526418555
        83. \n", + "\t
      83. 0.261985584535811
        84. \n", + "\t
      84. 0.276269480302258
        85. \n", + "\t
      85. 0.210993597676478
        86. \n", + "\t
      86. 0.289049693608857
        87. \n", + "\t
      87. 0.215100618038363
        88. \n", + "\t
      88. 0.172825073467665
        89. \n", + "\t
      89. 0.219238877681694
        90. \n", + "\t
      90. 0.392727452439966
        91. \n", + "\t
      91. 0.282638494841056
        92. \n", + "\t
      92. 0.270182512736896
        93. \n", + "\t
      93. 0.218739081927083
        94. \n", + "\t
      94. 0.259012492802889
        95. \n", + "\t
      95. 0.279767280518718
        96. \n", + "\t
      96. 0.253792342404725
        97. \n", + "\t
      97. 0.334299929997907
        98. \n", + "\t
      98. 0.155763985064853
        99. \n", + "\t
      99. 0.220906120260214
        100. \n", + "\t
      100. 0.279945444068635
        101. \n", + "
      \n", + "
      87. \n", + "\t
      87. \n", + "\t
      1. 0.257258248426455
        2. \n", + "\t
      2. 0.222914018434036
        3. \n", + "\t
      3. 0.158728540488583
        4. \n", + "\t
      4. 0.24577959183366
        5. \n", + "\t
      5. 0.389483982387788
        6. \n", + "\t
      6. 0.165700668544317
        7. \n", + "\t
      7. 0.174991331860608
        8. \n", + "\t
      8. 0.175604047877581
        9. \n", + "\t
      9. 0.159400871059644
        10. \n", + "\t
      10. 0.131420247715403
        11. \n", + "\t
      11. 0.205625085919131
        12. \n", + "\t
      12. 0.194382438980421
        13. \n", + "\t
      13. 0.220861632974336
        14. \n", + "\t
      14. 0.200372287501229
        15. \n", + "\t
      15. 0.217510842484294
        16. \n", + "\t
      16. 0.242936183381174
        17. \n", + "\t
      17. 0.160584541427061
        18. \n", + "\t
      18. 0.184654303851185
        19. \n", + "\t
      19. 0.239221899971246
        20. \n", + "\t
      20. 0.107137856489892
        21. \n", + "\t
      21. 0.207347357582062
        22. \n", + "\t
      22. 0.122107704816658
        23. \n", + "\t
      23. 0.201569789135807
        24. \n", + "\t
      24. 0.135285436875131
        25. \n", + "\t
      25. 0.144447213078966
        26. \n", + "\t
      26. 0.1940948181508
        27. \n", + "\t
      27. 0.105558824433904
        28. \n", + "\t
      28. 0.16793121288173
        29. \n", + "\t
      29. 0.187701684244883
        30. \n", + "\t
      30. 0.1517781385962
        31. \n", + "\t
      31. 0.251063817939802
        32. \n", + "\t
      32. 0.233313955901201
        33. \n", + "\t
      33. 0.18985588607657
        34. \n", + "\t
      34. 0.197699967098263
        35. \n", + "\t
      35. 0.185241931458102
        36. \n", + "\t
      36. 0.2856676686984
        37. \n", + "\t
      37. 0.194358116438783
        38. \n", + "\t
      38. 0.202565428270837
        39. \n", + "\t
      39. 0.234007182937941
        40. \n", + "\t
      40. 0.245717229367596
        41. \n", + "\t
      41. 0.294703267737771
        42. \n", + "\t
      42. 0.206044782498684
        43. \n", + "\t
      43. 0.330564065457656
        44. \n", + "\t
      44. 0.272853524384936
        45. \n", + "\t
      45. 0.122773125545744
        46. \n", + "\t
      46. 0.218202287805546
        47. \n", + "\t
      47. 0.228085717547745
        48. \n", + "\t
      48. 0.17392845542831
        49. \n", + "\t
      49. 0.159253857045582
        50. \n", + "\t
      50. 0.168206163487045
        51. \n", + "\t
      51. 0.224948041176812
        52. \n", + "\t
      52. 0.134044414768105
        53. \n", + "\t
      53. 0.269609445668343
        54. \n", + "\t
      54. 0.129269606199571
        55. \n", + "\t
      55. 0.206148348830374
        56. \n", + "\t
      56. 0.256936040001196
        57. \n", + "\t
      57. 0.113274396940961
        58. \n", + "\t
      58. 0.226938802119389
        59. \n", + "\t
      59. 0.167977096957783
        60. \n", + "\t
      60. 0.168197423016872
        61. \n", + "\t
      61. 0.214661707312387
        62. \n", + "\t
      62. 0.231726412938123
        63. \n", + "\t
      63. 0.0880383900382884
        64. \n", + "\t
      64. 0.338633638058686
        65. \n", + "\t
      65. 0.325508847990115
        66. \n", + "\t
      66. 0.164192130457134
        67. \n", + "\t
      67. 0.228240692209533
        68. \n", + "\t
      68. 0.210058367549284
        69. \n", + "\t
      69. 0.219290196598338
        70. \n", + "\t
      70. 0.178681774777737
        71. \n", + "\t
      71. 0.134934636490689
        72. \n", + "\t
      72. 0.194330336098798
        73. \n", + "\t
      73. 0.257134424257324
        74. \n", + "\t
      74. 0.266660144438031
        75. \n", + "\t
      75. 0.0955162805372619
        76. \n", + "\t
      76. 0.233705771995223
        77. \n", + "\t
      77. 0.218720865206951
        78. \n", + "\t
      78. 0.149401236928804
        79. \n", + "\t
      79. 0.319178494719881
        80. \n", + "\t
      80. 0.100589846249008
        81. \n", + "\t
      81. 0.378260191396205
        82. \n", + "\t
      82. 0.20420967020071
        83. \n", + "\t
      83. 0.19076166658183
        84. \n", + "\t
      84. 0.285115563961165
        85. \n", + "\t
      85. 0.19857155333186
        86. \n", + "\t
      86. 0.218135859040543
        87. \n", + "\t
      87. 0.135197103574843
        88. \n", + "\t
      88. 0.0949249454866092
        89. \n", + "\t
      89. 0.215287377298089
        90. \n", + "\t
      90. 0.176626407964224
        91. \n", + "\t
      91. 0.21236584937486
        92. \n", + "\t
      92. 0.238328023504547
        93. \n", + "\t
      93. 0.15311176060905
        94. \n", + "\t
      94. 0.202724587699465
        95. \n", + "\t
      95. 0.166684795656399
        96. \n", + "\t
      96. 0.214638288894393
        97. \n", + "\t
      97. 0.142914215225979
        98. \n", + "\t
      98. 0.22385751118567
        99. \n", + "\t
      99. 0.102826147772074
        100. \n", + "\t
      100. 0.270552028164813
        101. \n", + "
      \n", + "
      88. \n", + "\t
      88. \n", + "\t
      1. 0.2278250286913
        2. \n", + "\t
      2. 0.388262606185008
        3. \n", + "\t
      3. 0.158229164583231
        4. \n", + "\t
      4. 0.257674841821399
        5. \n", + "\t
      5. 0.17418298210114
        6. \n", + "\t
      6. 0.31227986864744
        7. \n", + "\t
      7. 0.254773176321177
        8. \n", + "\t
      8. 0.193603783166025
        9. \n", + "\t
      9. 0.354293887376826
        10. \n", + "\t
      10. 0.255541359255184
        11. \n", + "\t
      11. 0.301529711473977
        12. \n", + "\t
      12. 0.322596939878699
        13. \n", + "\t
      13. 0.258448365437261
        14. \n", + "\t
      14. 0.191643151043897
        15. \n", + "\t
      15. 0.158641399624221
        16. \n", + "\t
      16. 0.388854898199363
        17. \n", + "\t
      17. 0.231640864515129
        18. \n", + "\t
      18. 0.243850475099965
        19. \n", + "\t
      19. 0.238645158920034
        20. \n", + "\t
      20. 0.329681956349389
        21. \n", + "\t
      21. 0.283623141564203
        22. \n", + "\t
      22. 0.435891870500998
        23. \n", + "\t
      23. 0.34049770984922
        24. \n", + "\t
      24. 0.213201802796579
        25. \n", + "\t
      25. 0.274740514771302
        26. \n", + "\t
      26. 0.215997430966853
        27. \n", + "\t
      27. 0.266754908799908
        28. \n", + "\t
      28. 0.24326552605608
        29. \n", + "\t
      29. 0.167008791704146
        30. \n", + "\t
      30. 0.323626383610208
        31. \n", + "\t
      31. 0.188808813433467
        32. \n", + "\t
      32. 0.170248319094747
        33. \n", + "\t
      33. 0.319906904743469
        34. \n", + "\t
      34. 0.321373687960368
        35. \n", + "\t
      35. 0.224399160966762
        36. \n", + "\t
      36. 0.220822351830805
        37. \n", + "\t
      37. 0.290256980145927
        38. \n", + "\t
      38. 0.211477746291445
        39. \n", + "\t
      39. 0.271107269050894
        40. \n", + "\t
      40. 0.209177890920856
        41. \n", + "\t
      41. 0.271174898105709
        42. \n", + "\t
      42. 0.206528950177329
        43. \n", + "\t
      43. 0.29360235935472
        44. \n", + "\t
      44. 0.269008830016646
        45. \n", + "\t
      45. 0.335288165843755
        46. \n", + "\t
      46. 0.261340927317454
        47. \n", + "\t
      47. 0.218159116629105
        48. \n", + "\t
      48. 0.279496641675554
        49. \n", + "\t
      49. 0.18808816112981
        50. \n", + "\t
      50. 0.278400369130299
        51. \n", + "\t
      51. 0.277215912375403
        52. \n", + "\t
      52. 0.135158526417255
        53. \n", + "\t
      53. 0.42454813221739
        54. \n", + "\t
      54. 0.270101895944494
        55. \n", + "\t
      55. 0.415714518377734
        56. \n", + "\t
      56. 0.36370646054648
        57. \n", + "\t
      57. 0.151710131588268
        58. \n", + "\t
      58. 0.269141657025257
        59. \n", + "\t
      59. 0.294647389241556
        60. \n", + "\t
      60. 0.278375856193559
        61. \n", + "\t
      61. 0.189819022056283
        62. \n", + "\t
      62. 0.272071698267136
        63. \n", + "\t
      63. 0.284893697017373
        64. \n", + "\t
      64. 0.323895857051797
        65. \n", + "\t
      65. 0.187682364609043
        66. \n", + "\t
      66. 0.243002864448369
        67. \n", + "\t
      67. 0.439299188476549
        68. \n", + "\t
      68. 0.293392747643421
        69. \n", + "\t
      69. 0.384824415999675
        70. \n", + "\t
      70. 0.26620383712621
        71. \n", + "\t
      71. 0.204044769326676
        72. \n", + "\t
      72. 0.250859367699482
        73. \n", + "\t
      73. 0.25853826747101
        74. \n", + "\t
      74. 0.245199797934644
        75. \n", + "\t
      75. 0.285093394798369
        76. \n", + "\t
      76. 0.202171492478061
        77. \n", + "\t
      77. 0.209600859836239
        78. \n", + "\t
      78. 0.239214475935525
        79. \n", + "\t
      79. 0.26320869600691
        80. \n", + "\t
      80. 0.0771438453029291
        81. \n", + "\t
      81. 0.285211363219084
        82. \n", + "\t
      82. 0.143354601022421
        83. \n", + "\t
      83. 0.370532619853416
        84. \n", + "\t
      84. 0.284832621334978
        85. \n", + "\t
      85. 0.278021868866158
        86. \n", + "\t
      86. 0.418590610496983
        87. \n", + "\t
      87. 0.380977236154625
        88. \n", + "\t
      88. 0.298560332628452
        89. \n", + "\t
      89. 0.187042697670772
        90. \n", + "\t
      90. 0.275654891281456
        91. \n", + "\t
      91. 0.229477581818487
        92. \n", + "\t
      92. 0.312699461544508
        93. \n", + "\t
      93. 0.234172301378569
        94. \n", + "\t
      94. 0.339100097807886
        95. \n", + "\t
      95. 0.368340585549273
        96. \n", + "\t
      96. 0.21791019275137
        97. \n", + "\t
      97. 0.30461702430725
        98. \n", + "\t
      98. 0.344873726824979
        99. \n", + "\t
      99. 0.359043104105621
        100. \n", + "\t
      100. 0.229016232640231
        101. \n", + "
      \n", + "
      89. \n", + "\t
      89. \n", + "\t
      1. 0.269858402615892
        2. \n", + "\t
      2. 0.147283313986695
        3. \n", + "\t
      3. 0.192394664791336
        4. \n", + "\t
      4. 0.167001350254071
        5. \n", + "\t
      5. 0.251780223525672
        6. \n", + "\t
      6. 0.297137441715475
        7. \n", + "\t
      7. 0.301769733334231
        8. \n", + "\t
      8. 0.191842615468913
        9. \n", + "\t
      9. 0.164156691337795
        10. \n", + "\t
      10. 0.250222267084484
        11. \n", + "\t
      11. 0.1768865679748
        12. \n", + "\t
      12. 0.254624560285339
        13. \n", + "\t
      13. 0.332361058179867
        14. \n", + "\t
      14. 0.176354473662607
        15. \n", + "\t
      15. 0.141022803934492
        16. \n", + "\t
      16. 0.262424911052231
        17. \n", + "\t
      17. 0.231895136057478
        18. \n", + "\t
      18. 0.327019740478221
        19. \n", + "\t
      19. 0.148777132309127
        20. \n", + "\t
      20. 0.290786619352068
        21. \n", + "\t
      21. 0.273257333344866
        22. \n", + "\t
      22. 0.220773929519877
        23. \n", + "\t
      23. 0.180886158895687
        24. \n", + "\t
      24. 0.194952247562846
        25. \n", + "\t
      25. 0.260678087226917
        26. \n", + "\t
      26. 0.254244086577738
        27. \n", + "\t
      27. 0.117207936416713
        28. \n", + "\t
      28. 0.499500340774281
        29. \n", + "\t
      29. 0.179452602236878
        30. \n", + "\t
      30. 0.0984041919655838
        31. \n", + "\t
      31. 0.244283919643126
        32. \n", + "\t
      32. 0.232218151560595
        33. \n", + "\t
      33. 0.297403173057257
        34. \n", + "\t
      34. 0.220881887117169
        35. \n", + "\t
      35. 0.308547006043572
        36. \n", + "\t
      36. 0.3133183250984
        37. \n", + "\t
      37. 0.173646240100833
        38. \n", + "\t
      38. 0.260847158170022
        39. \n", + "\t
      39. 0.234422278415976
        40. \n", + "\t
      40. 0.311839663798025
        41. \n", + "\t
      41. 0.117587479599947
        42. \n", + "\t
      42. 0.272161707686998
        43. \n", + "\t
      43. 0.331895313602721
        44. \n", + "\t
      44. 0.159817645520046
        45. \n", + "\t
      45. 0.186547466864392
        46. \n", + "\t
      46. 0.351177135940234
        47. \n", + "\t
      47. 0.157628963781387
        48. \n", + "\t
      48. 0.176099155854581
        49. \n", + "\t
      49. 0.219383961291741
        50. \n", + "\t
      50. 0.275679638466476
        51. \n", + "\t
      51. 0.106846821492302
        52. \n", + "\t
      52. 0.137144295326246
        53. \n", + "\t
      53. 0.152095518454226
        54. \n", + "\t
      54. 0.294338969544307
        55. \n", + "\t
      55. 0.139786861261781
        56. \n", + "\t
      56. 0.329704152795965
        57. \n", + "\t
      57. 0.127015386702139
        58. \n", + "\t
      58. 0.174854197256521
        59. \n", + "\t
      59. 0.346876404013794
        60. \n", + "\t
      60. 0.131279300172244
        61. \n", + "\t
      61. 0.246758817339502
        62. \n", + "\t
      62. 0.242909742686391
        63. \n", + "\t
      63. 0.260918670663749
        64. \n", + "\t
      64. 0.174442068373882
        65. \n", + "\t
      65. 0.30938593892223
        66. \n", + "\t
      66. 0.162653604854686
        67. \n", + "\t
      67. 0.118096540074749
        68. \n", + "\t
      68. 0.16209420720756
        69. \n", + "\t
      69. 0.106125064766874
        70. \n", + "\t
      70. 0.136400763226516
        71. \n", + "\t
      71. 0.0708377585626458
        72. \n", + "\t
      72. 0.279271519953051
        73. \n", + "\t
      73. 0.313804901059813
        74. \n", + "\t
      74. 0.275190820457441
        75. \n", + "\t
      75. 0.169633258476565
        76. \n", + "\t
      76. 0.341972004478922
        77. \n", + "\t
      77. 0.116570271842293
        78. \n", + "\t
      78. 0.299762393829505
        79. \n", + "\t
      79. 0.276723023133206
        80. \n", + "\t
      80. 0.202903304276183
        81. \n", + "\t
      81. 0.246758299409104
        82. \n", + "\t
      82. 0.251315162821004
        83. \n", + "\t
      83. 0.255616874862019
        84. \n", + "\t
      84. 0.210323064990689
        85. \n", + "\t
      85. 0.403141690188383
        86. \n", + "\t
      86. 0.231860930993728
        87. \n", + "\t
      87. 0.230609404860957
        88. \n", + "\t
      88. 0.253212628001785
        89. \n", + "\t
      89. 0.0890496395154166
        90. \n", + "\t
      90. 0.272210390689833
        91. \n", + "\t
      91. 0.322410077386891
        92. \n", + "\t
      92. 0.317663841329603
        93. \n", + "\t
      93. 0.20007147440877
        94. \n", + "\t
      94. 0.255988601189298
        95. \n", + "\t
      95. 0.199596272051206
        96. \n", + "\t
      96. 0.3468115098093
        97. \n", + "\t
      97. 0.33174069939238
        98. \n", + "\t
      98. 0.267707290131547
        99. \n", + "\t
      99. 0.22512935005381
        100. \n", + "\t
      100. 0.335340304287724
        101. \n", + "
      \n", + "
      90. \n", + "\t
      90. \n", + "\t
      1. 0.200980562549425
        2. \n", + "\t
      2. 0.206979782387144
        3. \n", + "\t
      3. 0.203704375107177
        4. \n", + "\t
      4. 0.238935937278897
        5. \n", + "\t
      5. 0.256235256089007
        6. \n", + "\t
      6. 0.253762590332308
        7. \n", + "\t
      7. 0.168368996408058
        8. \n", + "\t
      8. 0.21139846966611
        9. \n", + "\t
      9. 0.196877760356779
        10. \n", + "\t
      10. 0.255912733972
        11. \n", + "\t
      11. 0.259338986616885
        12. \n", + "\t
      12. 0.298116791459483
        13. \n", + "\t
      13. 0.326037039014283
        14. \n", + "\t
      14. 0.155550524766946
        15. \n", + "\t
      15. 0.260830311904702
        16. \n", + "\t
      16. 0.369207151251499
        17. \n", + "\t
      17. 0.239089999373206
        18. \n", + "\t
      18. 0.43636915876192
        19. \n", + "\t
      19. 0.140806308321345
        20. \n", + "\t
      20. 0.222210913832941
        21. \n", + "\t
      21. 0.179374987557996
        22. \n", + "\t
      22. 0.237829955908279
        23. \n", + "\t
      23. 0.25732055314798
        24. \n", + "\t
      24. 0.182109939961282
        25. \n", + "\t
      25. 0.195623027937567
        26. \n", + "\t
      26. 0.298599488569912
        27. \n", + "\t
      27. 0.164297178012855
        28. \n", + "\t
      28. 0.303927385648307
        29. \n", + "\t
      29. 0.344798374498967
        30. \n", + "\t
      30. 0.16920261567823
        31. \n", + "\t
      31. 0.153366266345106
        32. \n", + "\t
      32. 0.20798974535652
        33. \n", + "\t
      33. 0.205506662501711
        34. \n", + "\t
      34. 0.207823770867849
        35. \n", + "\t
      35. 0.33356494058306
        36. \n", + "\t
      36. 0.278379306906097
        37. \n", + "\t
      37. 0.226640228901135
        38. \n", + "\t
      38. 0.417323806522057
        39. \n", + "\t
      39. 0.206220188985699
        40. \n", + "\t
      40. 0.237331221789547
        41. \n", + "\t
      41. 0.140573047443557
        42. \n", + "\t
      42. 0.338364848470254
        43. \n", + "\t
      43. 0.251747537157399
        44. \n", + "\t
      44. 0.222314529033881
        45. \n", + "\t
      45. 0.232454905490328
        46. \n", + "\t
      46. 0.199592420665997
        47. \n", + "\t
      47. 0.25126016713931
        48. \n", + "\t
      48. 0.275347074723821
        49. \n", + "\t
      49. 0.176443380065372
        50. \n", + "\t
      50. 0.284243159996426
        51. \n", + "\t
      51. 0.199268733184151
        52. \n", + "\t
      52. 0.182396637883042
        53. \n", + "\t
      53. 0.14573204152993
        54. \n", + "\t
      54. 0.195813878303049
        55. \n", + "\t
      55. 0.202852164576181
        56. \n", + "\t
      56. 0.203071772050862
        57. \n", + "\t
      57. 0.240868340097476
        58. \n", + "\t
      58. 0.368087291110847
        59. \n", + "\t
      59. 0.282979498975096
        60. \n", + "\t
      60. 0.344160265748965
        61. \n", + "\t
      61. 0.209632306960506
        62. \n", + "\t
      62. 0.268818755023539
        63. \n", + "\t
      63. 0.399149991575388
        64. \n", + "\t
      64. 0.172386563625316
        65. \n", + "\t
      65. 0.232484047325827
        66. \n", + "\t
      66. 0.201333648616924
        67. \n", + "\t
      67. 0.196359839906994
        68. \n", + "\t
      68. 0.22358164112435
        69. \n", + "\t
      69. 0.248267464095202
        70. \n", + "\t
      70. 0.219313920703986
        71. \n", + "\t
      71. 0.279993667687417
        72. \n", + "\t
      72. 0.28319071157824
        73. \n", + "\t
      73. 0.248755366490863
        74. \n", + "\t
      74. 0.368940216027192
        75. \n", + "\t
      75. 0.328881243530933
        76. \n", + "\t
      76. 0.330230029812546
        77. \n", + "\t
      77. 0.3002971871346
        78. \n", + "\t
      78. 0.264950549342062
        79. \n", + "\t
      79. 0.176424788821482
        80. \n", + "\t
      80. 0.0683686125058473
        81. \n", + "\t
      81. 0.22999688303861
        82. \n", + "\t
      82. 0.195134741606483
        83. \n", + "\t
      83. 0.201324762489813
        84. \n", + "\t
      84. 0.166847713978764
        85. \n", + "\t
      85. 0.148933466535391
        86. \n", + "\t
      86. 0.257237680585201
        87. \n", + "\t
      87. 0.198915175011158
        88. \n", + "\t
      88. 0.299843720321092
        89. \n", + "\t
      89. 0.207043235456778
        90. \n", + "\t
      90. 0.0938874307846078
        91. \n", + "\t
      91. 0.184961364795411
        92. \n", + "\t
      92. 0.205500527405539
        93. \n", + "\t
      93. 0.310797156839784
        94. \n", + "\t
      94. 0.277911097827111
        95. \n", + "\t
      95. 0.292557130268245
        96. \n", + "\t
      96. 0.236521508181892
        97. \n", + "\t
      97. 0.265999712356422
        98. \n", + "\t
      98. 0.192826674322596
        99. \n", + "\t
      99. 0.291401515652236
        100. \n", + "\t
      100. 0.264795019293554
        101. \n", + "
      \n", + "
      91. \n", + "\t
      91. \n", + "\t
      1. 0.173049919549428
        2. \n", + "\t
      2. 0.256872840563969
        3. \n", + "\t
      3. 0.215887074133044
        4. \n", + "\t
      4. 0.216971134840012
        5. \n", + "\t
      5. 0.272338022412648
        6. \n", + "\t
      6. 0.357639335992024
        7. \n", + "\t
      7. 0.357058199868104
        8. \n", + "\t
      8. 0.241901182020251
        9. \n", + "\t
      9. 0.159590618371359
        10. \n", + "\t
      10. 0.227564073143155
        11. \n", + "\t
      11. 0.292583244953369
        12. \n", + "\t
      12. 0.0962679043194664
        13. \n", + "\t
      13. 0.319499440452862
        14. \n", + "\t
      14. 0.24843483334477
        15. \n", + "\t
      15. 0.311940217364533
        16. \n", + "\t
      16. 0.225830416670123
        17. \n", + "\t
      17. 0.168663279226167
        18. \n", + "\t
      18. 0.266764015550772
        19. \n", + "\t
      19. 0.389943701858948
        20. \n", + "\t
      20. 0.268904118050056
        21. \n", + "\t
      21. 0.29549577570092
        22. \n", + "\t
      22. 0.31654841109492
        23. \n", + "\t
      23. 0.257798715630022
        24. \n", + "\t
      24. 0.386637289303654
        25. \n", + "\t
      25. 0.345766880983595
        26. \n", + "\t
      26. 0.229039067089633
        27. \n", + "\t
      27. 0.356604404739488
        28. \n", + "\t
      28. 0.31141225401274
        29. \n", + "\t
      29. 0.119446002260225
        30. \n", + "\t
      30. 0.224770906842058
        31. \n", + "\t
      31. 0.373799716115387
        32. \n", + "\t
      32. 0.389174353802423
        33. \n", + "\t
      33. 0.226539279217755
        34. \n", + "\t
      34. 0.147825750028708
        35. \n", + "\t
      35. 0.357084635728067
        36. \n", + "\t
      36. 0.169224977587093
        37. \n", + "\t
      37. 0.263351943418941
        38. \n", + "\t
      38. 0.0692075546280129
        39. \n", + "\t
      39. 0.215891414449737
        40. \n", + "\t
      40. 0.258145474078189
        41. \n", + "\t
      41. 0.212697934068215
        42. \n", + "\t
      42. 0.319524491004134
        43. \n", + "\t
      43. 0.220334645568127
        44. \n", + "\t
      44. 0.279552025930799
        45. \n", + "\t
      45. 0.0725267763514308
        46. \n", + "\t
      46. 0.240296784856529
        47. \n", + "\t
      47. 0.365376557838565
        48. \n", + "\t
      48. 0.281297310534887
        49. \n", + "\t
      49. 0.354382931956085
        50. \n", + "\t
      50. 0.269394687409409
        51. \n", + "\t
      51. 0.257281251889821
        52. \n", + "\t
      52. 0.211234264942388
        53. \n", + "\t
      53. 0.0995399572169159
        54. \n", + "\t
      54. 0.332488186215358
        55. \n", + "\t
      55. 0.146439418627306
        56. \n", + "\t
      56. 0.175823075396997
        57. \n", + "\t
      57. 0.176205543869904
        58. \n", + "\t
      58. 0.237392946015306
        59. \n", + "\t
      59. 0.231613646580148
        60. \n", + "\t
      60. 0.198691940603025
        61. \n", + "\t
      61. 0.247300757493981
        62. \n", + "\t
      62. 0.296674105562805
        63. \n", + "\t
      63. 0.177425562264087
        64. \n", + "\t
      64. 0.368388414620836
        65. \n", + "\t
      65. 0.254498468893323
        66. \n", + "\t
      66. 0.341321156360929
        67. \n", + "\t
      67. 0.189486651252285
        68. \n", + "\t
      68. 0.297267801463069
        69. \n", + "\t
      69. 0.285089131205765
        70. \n", + "\t
      70. 0.203929844510825
        71. \n", + "\t
      71. 0.137193605807233
        72. \n", + "\t
      72. 0.161155148177688
        73. \n", + "\t
      73. 0.269368037984533
        74. \n", + "\t
      74. 0.388664468449817
        75. \n", + "\t
      75. 0.311008850003513
        76. \n", + "\t
      76. 0.0669544128507544
        77. \n", + "\t
      77. 0.314700457357601
        78. \n", + "\t
      78. 0.175543023398833
        79. \n", + "\t
      79. 0.2709093633061
        80. \n", + "\t
      80. 0.216567150882603
        81. \n", + "\t
      81. 0.348730386061658
        82. \n", + "\t
      82. 0.309485807585113
        83. \n", + "\t
      83. 0.24294761144031
        84. \n", + "\t
      84. 0.237987784624591
        85. \n", + "\t
      85. 0.309428405622311
        86. \n", + "\t
      86. 0.125847620155391
        87. \n", + "\t
      87. 0.193270963135714
        88. \n", + "\t
      88. 0.136388590429908
        89. \n", + "\t
      89. 0.317209714572503
        90. \n", + "\t
      90. 0.191483151488947
        91. \n", + "\t
      91. 0.299699627917452
        92. \n", + "\t
      92. 0.338375330502782
        93. \n", + "\t
      93. 0.180467676217484
        94. \n", + "\t
      94. 0.301369097642032
        95. \n", + "\t
      95. 0.157884235720364
        96. \n", + "\t
      96. 0.198364456378754
        97. \n", + "\t
      97. 0.255113692083774
        98. \n", + "\t
      98. 0.218750087322415
        99. \n", + "\t
      99. 0.317895789739558
        100. \n", + "\t
      100. 0.314216384496287
        101. \n", + "
      \n", + "
      92. \n", + "\t
      92. \n", + "\t
      1. 0.170349651698045
        2. \n", + "\t
      2. 0.282180161734834
        3. \n", + "\t
      3. 0.56071120097345
        4. \n", + "\t
      4. 0.15894469740748
        5. \n", + "\t
      5. 0.225266683654183
        6. \n", + "\t
      6. 0.224082329099934
        7. \n", + "\t
      7. 0.359045564549901
        8. \n", + "\t
      8. 0.276853986679295
        9. \n", + "\t
      9. 0.171666911331871
        10. \n", + "\t
      10. 0.404434180401677
        11. \n", + "\t
      11. 0.458469725857648
        12. \n", + "\t
      12. 0.240013560205059
        13. \n", + "\t
      13. 0.391096076807934
        14. \n", + "\t
      14. 0.356176629206656
        15. \n", + "\t
      15. 0.267701622041645
        16. \n", + "\t
      16. 0.311369582383505
        17. \n", + "\t
      17. 0.319866110402902
        18. \n", + "\t
      18. 0.256982492220297
        19. \n", + "\t
      19. 0.317344600552323
        20. \n", + "\t
      20. 0.271061426327293
        21. \n", + "\t
      21. 0.436850914678385
        22. \n", + "\t
      22. 0.436301825309559
        23. \n", + "\t
      23. 0.256431943323817
        24. \n", + "\t
      24. 0.384729159403712
        25. \n", + "\t
      25. 0.261856622222753
        26. \n", + "\t
      26. 0.189340274119471
        27. \n", + "\t
      27. 0.199550881016504
        28. \n", + "\t
      28. 0.264034124202319
        29. \n", + "\t
      29. 0.292175413781546
        30. \n", + "\t
      30. 0.119498807897007
        31. \n", + "\t
      31. 0.279310041977163
        32. \n", + "\t
      32. 0.165333979196846
        33. \n", + "\t
      33. 0.218506555828969
        34. \n", + "\t
      34. 0.180551631838225
        35. \n", + "\t
      35. 0.441906214000167
        36. \n", + "\t
      36. 0.347446802157562
        37. \n", + "\t
      37. 0.351400786903268
        38. \n", + "\t
      38. 0.200195422440323
        39. \n", + "\t
      39. 0.27625047044107
        40. \n", + "\t
      40. 0.396118082520719
        41. \n", + "\t
      41. 0.281022132405287
        42. \n", + "\t
      42. 0.401143470098804
        43. \n", + "\t
      43. 0.202332904649376
        44. \n", + "\t
      44. 0.401669127170551
        45. \n", + "\t
      45. 0.266964427904706
        46. \n", + "\t
      46. 0.37960596366837
        47. \n", + "\t
      47. 0.37730749647631
        48. \n", + "\t
      48. 0.268960426371878
        49. \n", + "\t
      49. 0.154013064341687
        50. \n", + "\t
      50. 0.169013586870263
        51. \n", + "\t
      51. 0.160640266295709
        52. \n", + "\t
      52. 0.328070055645343
        53. \n", + "\t
      53. 0.249122018412393
        54. \n", + "\t
      54. 0.211971238059017
        55. \n", + "\t
      55. 0.299146012225638
        56. \n", + "\t
      56. 0.364384191041451
        57. \n", + "\t
      57. 0.258050501073987
        58. \n", + "\t
      58. 0.315142649143667
        59. \n", + "\t
      59. 0.313630541626547
        60. \n", + "\t
      60. 0.400409227935389
        61. \n", + "\t
      61. 0.330328752375004
        62. \n", + "\t
      62. 0.427688656869594
        63. \n", + "\t
      63. 0.358802745224647
        64. \n", + "\t
      64. 0.518614510176684
        65. \n", + "\t
      65. 0.174409032230501
        66. \n", + "\t
      66. 0.300275824887129
        67. \n", + "\t
      67. 0.200576251299218
        68. \n", + "\t
      68. 0.364628092123457
        69. \n", + "\t
      69. 0.270951242943692
        70. \n", + "\t
      70. 0.371580994446114
        71. \n", + "\t
      71. 0.307118843362263
        72. \n", + "\t
      72. 0.474515058378926
        73. \n", + "\t
      73. 0.306554196562686
        74. \n", + "\t
      74. 0.331816975324186
        75. \n", + "\t
      75. 0.222348594198191
        76. \n", + "\t
      76. 0.264025548824841
        77. \n", + "\t
      77. 0.151302185382742
        78. \n", + "\t
      78. 0.292473519912852
        79. \n", + "\t
      79. 0.319322528648665
        80. \n", + "\t
      80. 0.349005994159946
        81. \n", + "\t
      81. 0.40616768823576
        82. \n", + "\t
      82. 0.313784096447657
        83. \n", + "\t
      83. 0.400128405566494
        84. \n", + "\t
      84. 0.407790626127928
        85. \n", + "\t
      85. 0.424964886212983
        86. \n", + "\t
      86. 0.399645852966655
        87. \n", + "\t
      87. 0.365973268689236
        88. \n", + "\t
      88. 0.545873606065003
        89. \n", + "\t
      89. 0.352890243501941
        90. \n", + "\t
      90. 0.287388271114617
        91. \n", + "\t
      91. 0.443650712040849
        92. \n", + "\t
      92. 0.389513108992164
        93. \n", + "\t
      93. 0.259944968739995
        94. \n", + "\t
      94. 0.186884219365002
        95. \n", + "\t
      95. 0.339630085106129
        96. \n", + "\t
      96. 0.2945581653313
        97. \n", + "\t
      97. 0.149508539689895
        98. \n", + "\t
      98. 0.306568091090059
        99. \n", + "\t
      99. 0.187453923166009
        100. \n", + "\t
      100. 0.355290826916306
        101. \n", + "
      \n", + "
      93. \n", + "\t
      93. \n", + "\t
      1. 0.379178731523427
        2. \n", + "\t
      2. 0.286475023160391
        3. \n", + "\t
      3. 0.274161395166463
        4. \n", + "\t
      4. 0.332403981582158
        5. \n", + "\t
      5. 0.307883087375886
        6. \n", + "\t
      6. 0.254733697187566
        7. \n", + "\t
      7. 0.343425137877406
        8. \n", + "\t
      8. 0.287796301617702
        9. \n", + "\t
      9. 0.208358357426799
        10. \n", + "\t
      10. 0.164699982775298
        11. \n", + "\t
      11. 0.278623453521251
        12. \n", + "\t
      12. 0.342186383415009
        13. \n", + "\t
      13. 0.289359385402093
        14. \n", + "\t
      14. 0.283637593631919
        15. \n", + "\t
      15. 0.29208260388685
        16. \n", + "\t
      16. 0.334205813009461
        17. \n", + "\t
      17. 0.301532766974275
        18. \n", + "\t
      18. 0.193781180311982
        19. \n", + "\t
      19. 0.385230403488709
        20. \n", + "\t
      20. 0.17819377983508
        21. \n", + "\t
      21. 0.361100824526746
        22. \n", + "\t
      22. 0.276672337444094
        23. \n", + "\t
      23. 0.270361030071607
        24. \n", + "\t
      24. 0.270946923130954
        25. \n", + "\t
      25. 0.282092455910821
        26. \n", + "\t
      26. 0.251936813470717
        27. \n", + "\t
      27. 0.183235153602062
        28. \n", + "\t
      28. 0.38344039085754
        29. \n", + "\t
      29. 0.319474025932731
        30. \n", + "\t
      30. 0.186143798531251
        31. \n", + "\t
      31. 0.351379324857255
        32. \n", + "\t
      32. 0.171636479561053
        33. \n", + "\t
      33. 0.30537083412419
        34. \n", + "\t
      34. 0.2529552983723
        35. \n", + "\t
      35. 0.252821229887524
        36. \n", + "\t
      36. 0.268079017275404
        37. \n", + "\t
      37. 0.290259092913354
        38. \n", + "\t
      38. 0.13271598680931
        39. \n", + "\t
      39. 0.248308591161266
        40. \n", + "\t
      40. 0.263077904589021
        41. \n", + "\t
      41. 0.411507703187954
        42. \n", + "\t
      42. 0.367845524865388
        43. \n", + "\t
      43. 0.311061267324721
        44. \n", + "\t
      44. 0.243325926606774
        45. \n", + "\t
      45. 0.346531931532035
        46. \n", + "\t
      46. 0.294781852367994
        47. \n", + "\t
      47. 0.481703027413461
        48. \n", + "\t
      48. 0.250532299411682
        49. \n", + "\t
      49. 0.264732371080655
        50. \n", + "\t
      50. 0.20385020652548
        51. \n", + "\t
      51. 0.30853178180882
        52. \n", + "\t
      52. 0.205085865539145
        53. \n", + "\t
      53. 0.221723745473468
        54. \n", + "\t
      54. 0.30352039700236
        55. \n", + "\t
      55. 0.281884827045832
        56. \n", + "\t
      56. 0.390211056386985
        57. \n", + "\t
      57. 0.353110858689705
        58. \n", + "\t
      58. 0.262967297964223
        59. \n", + "\t
      59. 0.149684066278062
        60. \n", + "\t
      60. 0.270729335687128
        61. \n", + "\t
      61. 0.321268477352645
        62. \n", + "\t
      62. 0.313900082985124
        63. \n", + "\t
      63. 0.236384176141262
        64. \n", + "\t
      64. 0.194186343159072
        65. \n", + "\t
      65. 0.284835184761706
        66. \n", + "\t
      66. 0.260082561980029
        67. \n", + "\t
      67. 0.164979468290168
        68. \n", + "\t
      68. 0.293775588855125
        69. \n", + "\t
      69. 0.146119073797043
        70. \n", + "\t
      70. 0.25139816570219
        71. \n", + "\t
      71. 0.324246588632687
        72. \n", + "\t
      72. 0.258425224241598
        73. \n", + "\t
      73. 0.243249405502452
        74. \n", + "\t
      74. 0.199413675969023
        75. \n", + "\t
      75. 0.223224988622261
        76. \n", + "\t
      76. 0.350528745504338
        77. \n", + "\t
      77. 0.102933469707259
        78. \n", + "\t
      78. 0.2056903624273
        79. \n", + "\t
      79. 0.343882633256084
        80. \n", + "\t
      80. 0.320832037569207
        81. \n", + "\t
      81. 0.459834529851201
        82. \n", + "\t
      82. 0.270606821062347
        83. \n", + "\t
      83. 0.226152993709528
        84. \n", + "\t
      84. 0.269473161821835
        85. \n", + "\t
      85. 0.295360341718618
        86. \n", + "\t
      86. 0.216733335478762
        87. \n", + "\t
      87. 0.282625709922748
        88. \n", + "\t
      88. 0.333942899125397
        89. \n", + "\t
      89. 0.209705113682445
        90. \n", + "\t
      90. 0.253259599534075
        91. \n", + "\t
      91. 0.393013342837135
        92. \n", + "\t
      92. 0.228687543470094
        93. \n", + "\t
      93. 0.241682933364487
        94. \n", + "\t
      94. 0.169682546327379
        95. \n", + "\t
      95. 0.244831864207757
        96. \n", + "\t
      96. 0.345726109590495
        97. \n", + "\t
      97. 0.380527613591911
        98. \n", + "\t
      98. 0.367754601669946
        99. \n", + "\t
      99. 0.173712845163895
        100. \n", + "\t
      100. 0.287188461062667
        101. \n", + "
      \n", + "
      94. \n", + "\t
      94. \n", + "\t
      1. 0.227405243738926
        2. \n", + "\t
      2. 0.246779272597241
        3. \n", + "\t
      3. 0.298054207320283
        4. \n", + "\t
      4. 0.34995957252768
        5. \n", + "\t
      5. 0.261230713298132
        6. \n", + "\t
      6. 0.314057157239963
        7. \n", + "\t
      7. 0.146551218514663
        8. \n", + "\t
      8. 0.29659788124475
        9. \n", + "\t
      9. 0.155251037178605
        10. \n", + "\t
      10. 0.452669045274827
        11. \n", + "\t
      11. 0.346352951247348
        12. \n", + "\t
      12. 0.325026159287702
        13. \n", + "\t
      13. 0.140330996477386
        14. \n", + "\t
      14. 0.240196650190505
        15. \n", + "\t
      15. 0.240692640084185
        16. \n", + "\t
      16. 0.172840556270593
        17. \n", + "\t
      17. 0.24916801149894
        18. \n", + "\t
      18. 0.316795296803477
        19. \n", + "\t
      19. 0.25882153720829
        20. \n", + "\t
      20. 0.25271989966706
        21. \n", + "\t
      21. 0.238521128785614
        22. \n", + "\t
      22. 0.33259439122024
        23. \n", + "\t
      23. 0.169719758259888
        24. \n", + "\t
      24. 0.414115642679719
        25. \n", + "\t
      25. 0.215890885183742
        26. \n", + "\t
      26. 0.314832767905553
        27. \n", + "\t
      27. 0.285478154073866
        28. \n", + "\t
      28. 0.260140877184692
        29. \n", + "\t
      29. 0.368758195419468
        30. \n", + "\t
      30. 0.182752489155847
        31. \n", + "\t
      31. 0.46686697850161
        32. \n", + "\t
      32. 0.376785602765837
        33. \n", + "\t
      33. 0.140818527401715
        34. \n", + "\t
      34. 0.186889914123285
        35. \n", + "\t
      35. 0.186769565624682
        36. \n", + "\t
      36. 0.257221610409948
        37. \n", + "\t
      37. 0.201895514735541
        38. \n", + "\t
      38. 0.103313245846319
        39. \n", + "\t
      39. 0.1752849925022
        40. \n", + "\t
      40. 0.406403273388414
        41. \n", + "\t
      41. 0.414110860332879
        42. \n", + "\t
      42. 0.259041825916546
        43. \n", + "\t
      43. 0.277145586624494
        44. \n", + "\t
      44. 0.237757075447361
        45. \n", + "\t
      45. 0.286835219530134
        46. \n", + "\t
      46. 0.278212341444336
        47. \n", + "\t
      47. 0.414651552161014
        48. \n", + "\t
      48. 0.23851465227752
        49. \n", + "\t
      49. 0.25246634894381
        50. \n", + "\t
      50. 0.290011844367193
        51. \n", + "\t
      51. 0.311988634402973
        52. \n", + "\t
      52. 0.233839217913218
        53. \n", + "\t
      53. 0.394895857161718
        54. \n", + "\t
      54. 0.252566235386106
        55. \n", + "\t
      55. 0.215607398851004
        56. \n", + "\t
      56. 0.26333651439297
        57. \n", + "\t
      57. 0.180463482950018
        58. \n", + "\t
      58. 0.335907204059271
        59. \n", + "\t
      59. 0.30082686919833
        60. \n", + "\t
      60. 0.370480698133159
        61. \n", + "\t
      61. 0.178786507970833
        62. \n", + "\t
      62. 0.257564824356509
        63. \n", + "\t
      63. 0.296963707539357
        64. \n", + "\t
      64. 0.153140034612955
        65. \n", + "\t
      65. 0.245383142291256
        66. \n", + "\t
      66. 0.298566909320401
        67. \n", + "\t
      67. 0.259895519690987
        68. \n", + "\t
      68. 0.330950701524867
        69. \n", + "\t
      69. 0.240238744336215
        70. \n", + "\t
      70. 0.367654532173274
        71. \n", + "\t
      71. 0.185662257152925
        72. \n", + "\t
      72. 0.239237133049113
        73. \n", + "\t
      73. 0.309426860067103
        74. \n", + "\t
      74. 0.300599260327292
        75. \n", + "\t
      75. 0.298086233892976
        76. \n", + "\t
      76. 0.278590878606715
        77. \n", + "\t
      77. 0.271438664663726
        78. \n", + "\t
      78. 0.432935743363698
        79. \n", + "\t
      79. 0.188802366453573
        80. \n", + "\t
      80. 0.385236005163155
        81. \n", + "\t
      81. 0.315574517395979
        82. \n", + "\t
      82. 0.225900025070884
        83. \n", + "\t
      83. 0.194408752432126
        84. \n", + "\t
      84. 0.289550656616321
        85. \n", + "\t
      85. 0.314634731229552
        86. \n", + "\t
      86. 0.344537949448101
        87. \n", + "\t
      87. 0.381206006723491
        88. \n", + "\t
      88. 0.241709739260532
        89. \n", + "\t
      89. 0.214715987987413
        90. \n", + "\t
      90. 0.233754658558669
        91. \n", + "\t
      91. 0.266908714729488
        92. \n", + "\t
      92. 0.181271036997618
        93. \n", + "\t
      93. 0.204833024647681
        94. \n", + "\t
      94. 0.319293339993542
        95. \n", + "\t
      95. 0.120614704977457
        96. \n", + "\t
      96. 0.261901337743312
        97. \n", + "\t
      97. 0.140670156186043
        98. \n", + "\t
      98. 0.263481723725313
        99. \n", + "\t
      99. 0.286146273417805
        100. \n", + "\t
      100. 0.204087513117536
        101. \n", + "
      \n", + "
      95. \n", + "\t
      95. \n", + "\t
      1. 0.32255959375436
        2. \n", + "\t
      2. 0.403082966047391
        3. \n", + "\t
      3. 0.205472676736951
        4. \n", + "\t
      4. 0.431838269706259
        5. \n", + "\t
      5. 0.188922588179185
        6. \n", + "\t
      6. 0.352925037870609
        7. \n", + "\t
      7. 0.270870334057545
        8. \n", + "\t
      8. 0.316954103002149
        9. \n", + "\t
      9. 0.179193627108704
        10. \n", + "\t
      10. 0.286742923549545
        11. \n", + "\t
      11. 0.353177471178658
        12. \n", + "\t
      12. 0.273415766011799
        13. \n", + "\t
      13. 0.403503384143313
        14. \n", + "\t
      14. 0.523428082278056
        15. \n", + "\t
      15. 0.260945308017941
        16. \n", + "\t
      16. 0.172878737187319
        17. \n", + "\t
      17. 0.375643811754139
        18. \n", + "\t
      18. 0.306116364049511
        19. \n", + "\t
      19. 0.395875071413295
        20. \n", + "\t
      20. 0.2995785089285
        21. \n", + "\t
      21. 0.347336565928884
        22. \n", + "\t
      22. 0.126094042489326
        23. \n", + "\t
      23. 0.304002022702296
        24. \n", + "\t
      24. 0.394075729635501
        25. \n", + "\t
      25. 0.388383589000305
        26. \n", + "\t
      26. 0.320018020833762
        27. \n", + "\t
      27. 0.285570527993207
        28. \n", + "\t
      28. 0.444227168073537
        29. \n", + "\t
      29. 0.31295086056565
        30. \n", + "\t
      30. 0.31439367712255
        31. \n", + "\t
      31. 0.263062223783998
        32. \n", + "\t
      32. 0.322319444745642
        33. \n", + "\t
      33. 0.333948899739342
        34. \n", + "\t
      34. 0.392582386307322
        35. \n", + "\t
      35. 0.345734530262354
        36. \n", + "\t
      36. 0.298562324793774
        37. \n", + "\t
      37. 0.285903816290319
        38. \n", + "\t
      38. 0.268800621020817
        39. \n", + "\t
      39. 0.229186236382419
        40. \n", + "\t
      40. 0.361954973822253
        41. \n", + "\t
      41. 0.447207516421697
        42. \n", + "\t
      42. 0.325843373206536
        43. \n", + "\t
      43. 0.267537677825042
        44. \n", + "\t
      44. 0.485822305133903
        45. \n", + "\t
      45. 0.484936714141652
        46. \n", + "\t
      46. 0.368161734976012
        47. \n", + "\t
      47. 0.329434041119165
        48. \n", + "\t
      48. 0.368218847545287
        49. \n", + "\t
      49. 0.380491626777907
        50. \n", + "\t
      50. 0.295281519018142
        51. \n", + "\t
      51. 0.362829332263355
        52. \n", + "\t
      52. 0.310805246696664
        53. \n", + "\t
      53. 0.301488061253928
        54. \n", + "\t
      54. 0.287673504331993
        55. \n", + "\t
      55. 0.399734625579869
        56. \n", + "\t
      56. 0.303822863769163
        57. \n", + "\t
      57. 0.239825169314882
        58. \n", + "\t
      58. 0.394495477443557
        59. \n", + "\t
      59. 0.426442810054224
        60. \n", + "\t
      60. 0.289250655835657
        61. \n", + "\t
      61. 0.275344161725297
        62. \n", + "\t
      62. 0.30145197469207
        63. \n", + "\t
      63. 0.435093701279829
        64. \n", + "\t
      64. 0.315222886891634
        65. \n", + "\t
      65. 0.176496943035559
        66. \n", + "\t
      66. 0.418439681881461
        67. \n", + "\t
      67. 0.504094283744289
        68. \n", + "\t
      68. 0.370927120651515
        69. \n", + "\t
      69. 0.379124841783281
        70. \n", + "\t
      70. 0.354485886566082
        71. \n", + "\t
      71. 0.298513775755053
        72. \n", + "\t
      72. 0.296063562040292
        73. \n", + "\t
      73. 0.39536149233864
        74. \n", + "\t
      74. 0.448159037033434
        75. \n", + "\t
      75. 0.237260768374491
        76. \n", + "\t
      76. 0.221742976466576
        77. \n", + "\t
      77. 0.466286943358285
        78. \n", + "\t
      78. 0.438902209561284
        79. \n", + "\t
      79. 0.282714760126568
        80. \n", + "\t
      80. 0.316310315104164
        81. \n", + "\t
      81. 0.4268925269622
        82. \n", + "\t
      82. 0.250877186730016
        83. \n", + "\t
      83. 0.38666781681403
        84. \n", + "\t
      84. 0.175714717422592
        85. \n", + "\t
      85. 0.370017115194506
        86. \n", + "\t
      86. 0.336849801878879
        87. \n", + "\t
      87. 0.352398980531736
        88. \n", + "\t
      88. 0.2894877614849
        89. \n", + "\t
      89. 0.373620613056281
        90. \n", + "\t
      90. 0.24877277795841
        91. \n", + "\t
      91. 0.314446045172467
        92. \n", + "\t
      92. 0.312590962314756
        93. \n", + "\t
      93. 0.370027510534
        94. \n", + "\t
      94. 0.353657522301833
        95. \n", + "\t
      95. 0.457514090797611
        96. \n", + "\t
      96. 0.260289475688241
        97. \n", + "\t
      97. 0.246440407426956
        98. \n", + "\t
      98. 0.209883284660813
        99. \n", + "\t
      99. 0.370707346443278
        100. \n", + "\t
      100. 0.303616212741741
        101. \n", + "
      \n", + "
      96. \n", + "\t
      96. \n", + "\t
      1. 0.283265137604362
        2. \n", + "\t
      2. 0.278428367964607
        3. \n", + "\t
      3. 0.168315724006471
        4. \n", + "\t
      4. 0.291417494434389
        5. \n", + "\t
      5. 0.314819665465645
        6. \n", + "\t
      6. 0.247859728805271
        7. \n", + "\t
      7. 0.207217643086684
        8. \n", + "\t
      8. 0.323800415511631
        9. \n", + "\t
      9. 0.217220885192146
        10. \n", + "\t
      10. 0.410948280858831
        11. \n", + "\t
      11. 0.342435278547308
        12. \n", + "\t
      12. 0.268502069069443
        13. \n", + "\t
      13. 0.135579508254713
        14. \n", + "\t
      14. 0.110318313828835
        15. \n", + "\t
      15. 0.284689806548033
        16. \n", + "\t
      16. 0.179143385316697
        17. \n", + "\t
      17. 0.210953176731874
        18. \n", + "\t
      18. 0.271932368638065
        19. \n", + "\t
      19. 0.233535500697716
        20. \n", + "\t
      20. 0.206188196199752
        21. \n", + "\t
      21. 0.186198784932367
        22. \n", + "\t
      22. 0.246799850236739
        23. \n", + "\t
      23. 0.299703017462236
        24. \n", + "\t
      24. 0.249941951119965
        25. \n", + "\t
      25. 0.273385678448583
        26. \n", + "\t
      26. 0.344878126974305
        27. \n", + "\t
      27. 0.139655904621604
        28. \n", + "\t
      28. 0.213092304703835
        29. \n", + "\t
      29. 0.213655297963884
        30. \n", + "\t
      30. 0.193671879881129
        31. \n", + "\t
      31. 0.18578755268389
        32. \n", + "\t
      32. 0.221699141180875
        33. \n", + "\t
      33. 0.142289681511603
        34. \n", + "\t
      34. 0.365319254316219
        35. \n", + "\t
      35. 0.236536128108746
        36. \n", + "\t
      36. 0.300291837135917
        37. \n", + "\t
      37. 0.136140687139286
        38. \n", + "\t
      38. 0.319638186761265
        39. \n", + "\t
      39. 0.406522476135531
        40. \n", + "\t
      40. 0.342687692709647
        41. \n", + "\t
      41. 0.235333880364407
        42. \n", + "\t
      42. 0.187758888741067
        43. \n", + "\t
      43. 0.220256874009195
        44. \n", + "\t
      44. 0.299177179742323
        45. \n", + "\t
      45. 0.195220997058561
        46. \n", + "\t
      46. 0.185657725588433
        47. \n", + "\t
      47. 0.183528000565839
        48. \n", + "\t
      48. 0.318544794941224
        49. \n", + "\t
      49. 0.314613504722189
        50. \n", + "\t
      50. 0.216895108461801
        51. \n", + "\t
      51. 0.259294935415231
        52. \n", + "\t
      52. 0.251386220874221
        53. \n", + "\t
      53. 0.299459712129835
        54. \n", + "\t
      54. 0.231357838258365
        55. \n", + "\t
      55. 0.348062353496077
        56. \n", + "\t
      56. 0.202544371317989
        57. \n", + "\t
      57. 0.149617886079824
        58. \n", + "\t
      58. 0.317866813649372
        59. \n", + "\t
      59. 0.245326344361288
        60. \n", + "\t
      60. 0.253897097320831
        61. \n", + "\t
      61. 0.226241278020361
        62. \n", + "\t
      62. 0.161773192789992
        63. \n", + "\t
      63. 0.284890481514774
        64. \n", + "\t
      64. 0.175858569188186
        65. \n", + "\t
      65. 0.267199529819003
        66. \n", + "\t
      66. 0.249309746729128
        67. \n", + "\t
      67. 0.222258751688586
        68. \n", + "\t
      68. 0.184321281003131
        69. \n", + "\t
      69. 0.312754299452822
        70. \n", + "\t
      70. 0.295902707147659
        71. \n", + "\t
      71. 0.235586482242289
        72. \n", + "\t
      72. 0.18571905500538
        73. \n", + "\t
      73. 0.290217872912182
        74. \n", + "\t
      74. 0.253706072432274
        75. \n", + "\t
      75. 0.226615686367983
        76. \n", + "\t
      76. 0.241897291057862
        77. \n", + "\t
      77. 0.156226618237326
        78. \n", + "\t
      78. 0.269115166303284
        79. \n", + "\t
      79. 0.30190066299783
        80. \n", + "\t
      80. 0.291868970121644
        81. \n", + "\t
      81. 0.181972699217262
        82. \n", + "\t
      82. 0.208001795461999
        83. \n", + "\t
      83. 0.230226777648342
        84. \n", + "\t
      84. 0.182023472161744
        85. \n", + "\t
      85. 0.227108130833867
        86. \n", + "\t
      86. 0.236879366121723
        87. \n", + "\t
      87. 0.2045296050307
        88. \n", + "\t
      88. 0.215714896455404
        89. \n", + "\t
      89. 0.231188429061789
        90. \n", + "\t
      90. 0.205456171963071
        91. \n", + "\t
      91. 0.246933633824109
        92. \n", + "\t
      92. 0.310664258341248
        93. \n", + "\t
      93. 0.231541720899751
        94. \n", + "\t
      94. 0.1613599315803
        95. \n", + "\t
      95. 0.19497653650686
        96. \n", + "\t
      96. 0.311642886246476
        97. \n", + "\t
      97. 0.315922847638382
        98. \n", + "\t
      98. 0.152493741256547
        99. \n", + "\t
      99. 0.287137711732701
        100. \n", + "\t
      100. 0.165679612171624
        101. \n", + "
      \n", + "
      97. \n", + "\t
      97. \n", + "\t
      1. 0.277191235850204
        2. \n", + "\t
      2. 0.374959222308307
        3. \n", + "\t
      3. 0.140131652593693
        4. \n", + "\t
      4. 0.082623751882397
        5. \n", + "\t
      5. 0.201828163800406
        6. \n", + "\t
      6. 0.275670582579104
        7. \n", + "\t
      7. 0.149253033202742
        8. \n", + "\t
      8. 0.214509767929
        9. \n", + "\t
      9. 0.24338739036361
        10. \n", + "\t
      10. 0.203284719862094
        11. \n", + "\t
      11. 0.322874774829675
        12. \n", + "\t
      12. 0.297419204726769
        13. \n", + "\t
      13. 0.25965937843388
        14. \n", + "\t
      14. 0.225084955104117
        15. \n", + "\t
      15. 0.266131781714355
        16. \n", + "\t
      16. 0.183322873150485
        17. \n", + "\t
      17. 0.362291812056234
        18. \n", + "\t
      18. 0.272158635044951
        19. \n", + "\t
      19. 0.212168736639455
        20. \n", + "\t
      20. 0.246710441279832
        21. \n", + "\t
      21. 0.275099511570352
        22. \n", + "\t
      22. 0.228718092481146
        23. \n", + "\t
      23. 0.420060837759485
        24. \n", + "\t
      24. 0.199011038606971
        25. \n", + "\t
      25. 0.195663413020071
        26. \n", + "\t
      26. 0.208896141050546
        27. \n", + "\t
      27. 0.304101383055852
        28. \n", + "\t
      28. 0.354329945645602
        29. \n", + "\t
      29. 0.405377934237123
        30. \n", + "\t
      30. 0.157775921797703
        31. \n", + "\t
      31. 0.22097161522369
        32. \n", + "\t
      32. 0.281164288810325
        33. \n", + "\t
      33. 0.17457978838802
        34. \n", + "\t
      34. 0.290829567065308
        35. \n", + "\t
      35. 0.189400759715501
        36. \n", + "\t
      36. 0.26247102837557
        37. \n", + "\t
      37. 0.34383487204623
        38. \n", + "\t
      38. 0.180473608980012
        39. \n", + "\t
      39. 0.246102843171556
        40. \n", + "\t
      40. 0.371869109151769
        41. \n", + "\t
      41. 0.293115852346403
        42. \n", + "\t
      42. 0.279085508168986
        43. \n", + "\t
      43. 0.245485815325837
        44. \n", + "\t
      44. 0.199613071069829
        45. \n", + "\t
      45. 0.351978162290908
        46. \n", + "\t
      46. 0.186151194040095
        47. \n", + "\t
      47. 0.196498829108257
        48. \n", + "\t
      48. 0.254385346465037
        49. \n", + "\t
      49. 0.252543877819325
        50. \n", + "\t
      50. 0.255516154556998
        51. \n", + "\t
      51. 0.319811072920485
        52. \n", + "\t
      52. 0.361692599267361
        53. \n", + "\t
      53. 0.315767003476218
        54. \n", + "\t
      54. 0.253793200811833
        55. \n", + "\t
      55. 0.22205610231602
        56. \n", + "\t
      56. 0.226378485780238
        57. \n", + "\t
      57. 0.0798435414833138
        58. \n", + "\t
      58. 0.232364672265427
        59. \n", + "\t
      59. 0.248512576133822
        60. \n", + "\t
      60. 0.217136138094763
        61. \n", + "\t
      61. 0.102236515955604
        62. \n", + "\t
      62. 0.18619102337847
        63. \n", + "\t
      63. 0.0836154980008716
        64. \n", + "\t
      64. 0.177344706445333
        65. \n", + "\t
      65. 0.208313688012451
        66. \n", + "\t
      66. 0.264156488144282
        67. \n", + "\t
      67. 0.30796728026538
        68. \n", + "\t
      68. 0.156559946246756
        69. \n", + "\t
      69. 0.372047471876599
        70. \n", + "\t
      70. 0.307681350270797
        71. \n", + "\t
      71. 0.242876070189929
        72. \n", + "\t
      72. 0.205626782392806
        73. \n", + "\t
      73. 0.281592652919753
        74. \n", + "\t
      74. 0.309519833207524
        75. \n", + "\t
      75. 0.201601009144491
        76. \n", + "\t
      76. 0.372010850198044
        77. \n", + "\t
      77. 0.30923954149089
        78. \n", + "\t
      78. 0.279097354390534
        79. \n", + "\t
      79. 0.203867997444708
        80. \n", + "\t
      80. 0.266462077209859
        81. \n", + "\t
      81. 0.227623483225462
        82. \n", + "\t
      82. 0.314798766520948
        83. \n", + "\t
      83. 0.148929961904048
        84. \n", + "\t
      84. 0.134053240955516
        85. \n", + "\t
      85. 0.296088483787804
        86. \n", + "\t
      86. 0.230502373868691
        87. \n", + "\t
      87. 0.201952008133368
        88. \n", + "\t
      88. 0.239472617166011
        89. \n", + "\t
      89. 0.109155300169612
        90. \n", + "\t
      90. 0.156494930354095
        91. \n", + "\t
      91. 0.314566788889362
        92. \n", + "\t
      92. 0.23597397617176
        93. \n", + "\t
      93. 0.338502347400758
        94. \n", + "\t
      94. 0.202318356062688
        95. \n", + "\t
      95. 0.161347277389356
        96. \n", + "\t
      96. 0.33612258428824
        97. \n", + "\t
      97. 0.220011589592306
        98. \n", + "\t
      98. 0.422767170912779
        99. \n", + "\t
      99. 0.154329395202699
        100. \n", + "\t
      100. 0.205439435428523
        101. \n", + "
      \n", + "
      98. \n", + "\t
      98. \n", + "\t
      1. 0.251216921840891
        2. \n", + "\t
      2. 0.431106021883919
        3. \n", + "\t
      3. 0.305171996282917
        4. \n", + "\t
      4. 0.168214784443839
        5. \n", + "\t
      5. 0.278379993161062
        6. \n", + "\t
      6. 0.0657177921914991
        7. \n", + "\t
      7. 0.360644594602637
        8. \n", + "\t
      8. 0.152409403069402
        9. \n", + "\t
      9. 0.350960226455087
        10. \n", + "\t
      10. 0.269412489850477
        11. \n", + "\t
      11. 0.381095613892409
        12. \n", + "\t
      12. 0.322270613884497
        13. \n", + "\t
      13. 0.268724875333671
        14. \n", + "\t
      14. 0.213581941975851
        15. \n", + "\t
      15. 0.245085996097898
        16. \n", + "\t
      16. 0.223581204400172
        17. \n", + "\t
      17. 0.365591972339416
        18. \n", + "\t
      18. 0.255604054440154
        19. \n", + "\t
      19. 0.244014607724044
        20. \n", + "\t
      20. 0.168612713471817
        21. \n", + "\t
      21. 0.221952712676287
        22. \n", + "\t
      22. 0.348975279997072
        23. \n", + "\t
      23. 0.198206694037828
        24. \n", + "\t
      24. 0.247297126686536
        25. \n", + "\t
      25. 0.388345208716817
        26. \n", + "\t
      26. 0.240072536016521
        27. \n", + "\t
      27. 0.337477153688427
        28. \n", + "\t
      28. 0.280375650308425
        29. \n", + "\t
      29. 0.286262306058126
        30. \n", + "\t
      30. 0.36762412621516
        31. \n", + "\t
      31. 0.224995426307005
        32. \n", + "\t
      32. 0.225851499524499
        33. \n", + "\t
      33. 0.169644737471629
        34. \n", + "\t
      34. 0.287322337977462
        35. \n", + "\t
      35. 0.257243895819325
        36. \n", + "\t
      36. 0.262189927148121
        37. \n", + "\t
      37. 0.258275829191924
        38. \n", + "\t
      38. 0.248058811598685
        39. \n", + "\t
      39. 0.226476214285061
        40. \n", + "\t
      40. 0.219832831507444
        41. \n", + "\t
      41. 0.269619560070837
        42. \n", + "\t
      42. 0.342080925349371
        43. \n", + "\t
      43. 0.330799194038177
        44. \n", + "\t
      44. 0.22695862045765
        45. \n", + "\t
      45. 0.243196245170019
        46. \n", + "\t
      46. 0.378105351134683
        47. \n", + "\t
      47. 0.323626794354345
        48. \n", + "\t
      48. 0.319929382599708
        49. \n", + "\t
      49. 0.155838135865019
        50. \n", + "\t
      50. 0.286896402238489
        51. \n", + "\t
      51. 0.162448952129945
        52. \n", + "\t
      52. 0.252596689850781
        53. \n", + "\t
      53. 0.180390334854689
        54. \n", + "\t
      54. 0.248769879027204
        55. \n", + "\t
      55. 0.205563478506167
        56. \n", + "\t
      56. 0.2962562870195
        57. \n", + "\t
      57. 0.170288032537445
        58. \n", + "\t
      58. 0.196432028031599
        59. \n", + "\t
      59. 0.240149488251391
        60. \n", + "\t
      60. 0.390361591434858
        61. \n", + "\t
      61. 0.220763044297804
        62. \n", + "\t
      62. 0.204410305977621
        63. \n", + "\t
      63. 0.20574341993838
        64. \n", + "\t
      64. 0.335975563218553
        65. \n", + "\t
      65. 0.128730838756963
        66. \n", + "\t
      66. 0.26286326512811
        67. \n", + "\t
      67. 0.27279804591353
        68. \n", + "\t
      68. 0.250980549415611
        69. \n", + "\t
      69. 0.377549857295955
        70. \n", + "\t
      70. 0.329487219252808
        71. \n", + "\t
      71. 0.345913826701206
        72. \n", + "\t
      72. 0.350806919085337
        73. \n", + "\t
      73. 0.278419149979583
        74. \n", + "\t
      74. 0.262390718030683
        75. \n", + "\t
      75. 0.192584844120054
        76. \n", + "\t
      76. 0.337573530685037
        77. \n", + "\t
      77. 0.14688422965054
        78. \n", + "\t
      78. 0.268698120569533
        79. \n", + "\t
      79. 0.210542336210515
        80. \n", + "\t
      80. 0.337754926387519
        81. \n", + "\t
      81. 0.338406386697137
        82. \n", + "\t
      82. 0.286876418407811
        83. \n", + "\t
      83. 0.233912082529835
        84. \n", + "\t
      84. 0.196344383223443
        85. \n", + "\t
      85. 0.323668045338487
        86. \n", + "\t
      86. 0.19432914772043
        87. \n", + "\t
      87. 0.289027614674526
        88. \n", + "\t
      88. 0.286689678189913
        89. \n", + "\t
      89. 0.361290993049955
        90. \n", + "\t
      90. 0.341155017829718
        91. \n", + "\t
      91. 0.190386631169911
        92. \n", + "\t
      92. 0.304218696220843
        93. \n", + "\t
      93. 0.279419755267131
        94. \n", + "\t
      94. 0.328130977082236
        95. \n", + "\t
      95. 0.171663502578802
        96. \n", + "\t
      96. 0.204836925580217
        97. \n", + "\t
      97. 0.337568069124785
        98. \n", + "\t
      98. 0.208823902042094
        99. \n", + "\t
      99. 0.196519804377356
        100. \n", + "\t
      100. 0.268483678285419
        101. \n", + "
      \n", + "
      99. \n", + "\t
      99. \n", + "\t
      1. 0.310282561655067
        2. \n", + "\t
      2. 0.221546653878936
        3. \n", + "\t
      3. 0.404287673442991
        4. \n", + "\t
      4. 0.138336980377985
        5. \n", + "\t
      5. 0.364615123255319
        6. \n", + "\t
      6. 0.165475995114546
        7. \n", + "\t
      7. 0.307201713294692
        8. \n", + "\t
      8. 0.262226719710355
        9. \n", + "\t
      9. 0.413698554105904
        10. \n", + "\t
      10. 0.3247679859715
        11. \n", + "\t
      11. 0.127977135747205
        12. \n", + "\t
      12. 0.349175106599089
        13. \n", + "\t
      13. 0.284691367493948
        14. \n", + "\t
      14. 0.347284517274607
        15. \n", + "\t
      15. 0.148357958060957
        16. \n", + "\t
      16. 0.239857839211492
        17. \n", + "\t
      17. 0.343119240464992
        18. \n", + "\t
      18. 0.276237161283063
        19. \n", + "\t
      19. 0.277312211583734
        20. \n", + "\t
      20. 0.190223872173443
        21. \n", + "\t
      21. 0.207869370729605
        22. \n", + "\t
      22. 0.28141469524224
        23. \n", + "\t
      23. 0.435667400086252
        24. \n", + "\t
      24. 0.371742249574247
        25. \n", + "\t
      25. 0.238140245184659
        26. \n", + "\t
      26. 0.370938421128212
        27. \n", + "\t
      27. 0.231766076256843
        28. \n", + "\t
      28. 0.148008893376442
        29. \n", + "\t
      29. 0.116112776208336
        30. \n", + "\t
      30. 0.202108799239793
        31. \n", + "\t
      31. 0.158167445615394
        32. \n", + "\t
      32. 0.237305140099672
        33. \n", + "\t
      33. 0.296548228251352
        34. \n", + "\t
      34. 0.197043529776646
        35. \n", + "\t
      35. 0.372756605760438
        36. \n", + "\t
      36. 0.315415072501756
        37. \n", + "\t
      37. 0.342442416401227
        38. \n", + "\t
      38. 0.276966058073048
        39. \n", + "\t
      39. 0.163959642876596
        40. \n", + "\t
      40. 0.263316196155764
        41. \n", + "\t
      41. 0.281910052776641
        42. \n", + "\t
      42. 0.319673827930333
        43. \n", + "\t
      43. 0.310374276007641
        44. \n", + "\t
      44. 0.24990023381345
        45. \n", + "\t
      45. 0.294529024456319
        46. \n", + "\t
      46. 0.353425056176957
        47. \n", + "\t
      47. 0.219094248093797
        48. \n", + "\t
      48. 0.28346242076356
        49. \n", + "\t
      49. 0.268354583486729
        50. \n", + "\t
      50. 0.204103105336467
        51. \n", + "\t
      51. 0.32265528702647
        52. \n", + "\t
      52. 0.215533167281511
        53. \n", + "\t
      53. 0.394428803477075
        54. \n", + "\t
      54. 0.39418433534665
        55. \n", + "\t
      55. 0.248738338564481
        56. \n", + "\t
      56. 0.220563825210509
        57. \n", + "\t
      57. 0.17987648757208
        58. \n", + "\t
      58. 0.453406298844399
        59. \n", + "\t
      59. 0.353007376604924
        60. \n", + "\t
      60. 0.264667037594379
        61. \n", + "\t
      61. 0.221812496141295
        62. \n", + "\t
      62. 0.301614101164778
        63. \n", + "\t
      63. 0.267017570905777
        64. \n", + "\t
      64. 0.324290665636363
        65. \n", + "\t
      65. 0.353240559452574
        66. \n", + "\t
      66. 0.156985866462631
        67. \n", + "\t
      67. 0.303896351489064
        68. \n", + "\t
      68. 0.177292785878993
        69. \n", + "\t
      69. 0.150186386230086
        70. \n", + "\t
      70. 0.216056488145929
        71. \n", + "\t
      71. 0.227096830749757
        72. \n", + "\t
      72. 0.186592954985331
        73. \n", + "\t
      73. 0.272432626971723
        74. \n", + "\t
      74. 0.173826597416637
        75. \n", + "\t
      75. 0.256394362817505
        76. \n", + "\t
      76. 0.302994985495999
        77. \n", + "\t
      77. 0.334174092732937
        78. \n", + "\t
      78. 0.257829531177993
        79. \n", + "\t
      79. 0.248617204456995
        80. \n", + "\t
      80. 0.20803053349821
        81. \n", + "\t
      81. 0.288951910805241
        82. \n", + "\t
      82. 0.282647591749617
        83. \n", + "\t
      83. 0.196395486988909
        84. \n", + "\t
      84. 0.393396034432676
        85. \n", + "\t
      85. 0.251454870553785
        86. \n", + "\t
      86. 0.133115019269527
        87. \n", + "\t
      87. 0.344175022667265
        88. \n", + "\t
      88. 0.185326938314363
        89. \n", + "\t
      89. 0.197425650538049
        90. \n", + "\t
      90. 0.268504401864642
        91. \n", + "\t
      91. 0.0519520435102701
        92. \n", + "\t
      92. 0.281510537538287
        93. \n", + "\t
      93. 0.189087976369074
        94. \n", + "\t
      94. 0.305407718360835
        95. \n", + "\t
      95. 0.259274827417518
        96. \n", + "\t
      96. 0.18070932291543
        97. \n", + "\t
      97. 0.193989727369308
        98. \n", + "\t
      98. 0.309140960251665
        99. \n", + "\t
      99. 0.332835000350695
        100. \n", + "\t
      100. 0.230030724656842
        101. \n", + "
      \n", + "
      100. \n", + "\t
      100. \n", + "\t
      1. 0.299192112489586
        2. \n", + "\t
      2. 0.269267631605983
        3. \n", + "\t
      3. 0.226618846241462
        4. \n", + "\t
      4. 0.329149134528391
        5. \n", + "\t
      5. 0.222471412504338
        6. \n", + "\t
      6. 0.319071764027861
        7. \n", + "\t
      7. 0.405591636737973
        8. \n", + "\t
      8. 0.321724863433553
        9. \n", + "\t
      9. 0.221778111214817
        10. \n", + "\t
      10. 0.31608328245752
        11. \n", + "\t
      11. 0.145403524421592
        12. \n", + "\t
      12. 0.182939586419472
        13. \n", + "\t
      13. 0.18193144928393
        14. \n", + "\t
      14. 0.244119032482318
        15. \n", + "\t
      15. 0.194621338919607
        16. \n", + "\t
      16. 0.205522873184017
        17. \n", + "\t
      17. 0.383153735943877
        18. \n", + "\t
      18. 0.260042051650933
        19. \n", + "\t
      19. 0.314543255836367
        20. \n", + "\t
      20. 0.111236056614215
        21. \n", + "\t
      21. 0.249110919544195
        22. \n", + "\t
      22. 0.312921070427873
        23. \n", + "\t
      23. 0.272681841356152
        24. \n", + "\t
      24. 0.111611443895411
        25. \n", + "\t
      25. 0.186257784457697
        26. \n", + "\t
      26. 0.208299962234008
        27. \n", + "\t
      27. 0.244735265236045
        28. \n", + "\t
      28. 0.192499283745305
        29. \n", + "\t
      29. 0.183584000898235
        30. \n", + "\t
      30. 0.232659685637034
        31. \n", + "\t
      31. 0.367262888532237
        32. \n", + "\t
      32. 0.423214144561575
        33. \n", + "\t
      33. 0.221008783271881
        34. \n", + "\t
      34. 0.176014092461467
        35. \n", + "\t
      35. 0.273447216531109
        36. \n", + "\t
      36. 0.301891900479944
        37. \n", + "\t
      37. 0.293756779370529
        38. \n", + "\t
      38. 0.28948928174274
        39. \n", + "\t
      39. 0.24677218255915
        40. \n", + "\t
      40. 0.279331771949407
        41. \n", + "\t
      41. 0.276455812295952
        42. \n", + "\t
      42. 0.237959430284761
        43. \n", + "\t
      43. 0.324165284505723
        44. \n", + "\t
      44. 0.243750853130026
        45. \n", + "\t
      45. 0.294269236466486
        46. \n", + "\t
      46. 0.231562580911124
        47. \n", + "\t
      47. 0.153028891221064
        48. \n", + "\t
      48. 0.226959924368321
        49. \n", + "\t
      49. 0.185599618081566
        50. \n", + "\t
      50. 0.267759313726414
        51. \n", + "\t
      51. 0.238152318759102
        52. \n", + "\t
      52. 0.355707647168826
        53. \n", + "\t
      53. 0.202496464772984
        54. \n", + "\t
      54. 0.210328892083662
        55. \n", + "\t
      55. 0.356581003161553
        56. \n", + "\t
      56. 0.353647630286185
        57. \n", + "\t
      57. 0.27071579679764
        58. \n", + "\t
      58. 0.330187283445045
        59. \n", + "\t
      59. 0.422493083092546
        60. \n", + "\t
      60. 0.32471382733384
        61. \n", + "\t
      61. 0.295641395168775
        62. \n", + "\t
      62. 0.333699221744505
        63. \n", + "\t
      63. 0.15724672696921
        64. \n", + "\t
      64. 0.246957869728012
        65. \n", + "\t
      65. 0.313569244762633
        66. \n", + "\t
      66. 0.314467532485208
        67. \n", + "\t
      67. 0.421633251556524
        68. \n", + "\t
      68. 0.295798434376242
        69. \n", + "\t
      69. 0.386367200034669
        70. \n", + "\t
      70. 0.233493324764028
        71. \n", + "\t
      71. 0.243319148551551
        72. \n", + "\t
      72. 0.431594748358983
        73. \n", + "\t
      73. 0.107190243616409
        74. \n", + "\t
      74. 0.245352652472891
        75. \n", + "\t
      75. 0.315841303799616
        76. \n", + "\t
      76. 0.486821932997154
        77. \n", + "\t
      77. 0.172381486490393
        78. \n", + "\t
      78. 0.191708196424976
        79. \n", + "\t
      79. 0.29585975515634
        80. \n", + "\t
      80. 0.175202816822253
        81. \n", + "\t
      81. 0.396262045315368
        82. \n", + "\t
      82. 0.190251287932115
        83. \n", + "\t
      83. 0.329461094564887
        84. \n", + "\t
      84. 0.263683113759148
        85. \n", + "\t
      85. 0.220969555816608
        86. \n", + "\t
      86. 0.239638645494559
        87. \n", + "\t
      87. 0.202386424993105
        88. \n", + "\t
      88. 0.325132777293787
        89. \n", + "\t
      89. 0.271527806476765
        90. \n", + "\t
      90. 0.281157662689818
        91. \n", + "\t
      91. 0.299378017646081
        92. \n", + "\t
      92. 0.105186651885825
        93. \n", + "\t
      93. 0.293704071348803
        94. \n", + "\t
      94. 0.113210492441125
        95. \n", + "\t
      95. 0.281749100760567
        96. \n", + "\t
      96. 0.223263585183608
        97. \n", + "\t
      97. 0.399882974740279
        98. \n", + "\t
      98. 0.226377775445254
        99. \n", + "\t
      99. 0.390088857131122
        100. \n", + "\t
      100. 0.167634539130283
        101. \n", + "
      \n", + "
      101. \n", + "
    \n", + "
    \n", + "
    \n" + ], + "text/latex": [ + "\\begin{description}\n", + "\\item[\\$num\\_boot] 100\n", + "\\item[\\$method] 'RF'\n", + "\\item[\\$stab\\_index] \\begin{enumerate*}\n", + "\\item 0.03\n", + "\\item 0.04\n", + "\\item 0.02\n", + "\\item 0.03\n", + "\\item 0.03\n", + "\\item 0.03\n", + "\\item 0.04\n", + "\\item 0.03\n", + "\\item 0.03\n", + "\\item 0.04\n", + "\\item 0.04\n", + "\\item 0.04\n", + "\\item 0.04\n", + "\\item 0.04\n", + "\\item 0.03\n", + "\\item 0.05\n", + "\\item 0.05\n", + "\\item 0.04\n", + "\\item 0.05\n", + "\\item 0.05\n", + "\\item 0.06\n", + "\\item 0.04\n", + "\\item 0.03\n", + "\\item 0.03\n", + "\\item 0.02\n", + "\\item 0.03\n", + "\\item 0.03\n", + "\\item 0.05\n", + "\\item 0.03\n", + "\\item 0.06\n", + "\\item 0.04\n", + "\\item 0.03\n", + "\\item 0.03\n", + "\\item 0.05\n", + "\\item 0.06\n", + "\\item 0.03\n", + "\\item 0.04\n", + "\\item 0.03\n", + "\\item 0.04\n", + "\\item 0.03\n", + "\\item 0.04\n", + "\\item 0.04\n", + "\\item 0.04\n", + "\\item 0.02\n", + "\\item 0.04\n", + "\\item 0.03\n", + "\\item 0.05\n", + "\\item 0.04\n", + "\\item 0.04\n", + "\\item 0.04\n", + "\\item 0.03\n", + "\\item 0.03\n", + "\\item 0.04\n", + "\\item 0.03\n", + "\\item 0.06\n", + "\\item 0.04\n", + "\\item 0.04\n", + "\\item 0.05\n", + "\\item 0.03\n", + "\\item 0.02\n", + "\\item 0.03\n", + "\\item 0.04\n", + "\\item 0.04\n", + "\\item 0.03\n", + "\\item 0.03\n", + "\\item 0.03\n", + "\\item 0.05\n", + "\\item 0.03\n", + "\\item 0.03\n", + "\\item 0.03\n", + "\\item 0.03\n", + "\\item 0.03\n", + "\\item 0.04\n", + "\\item 0.04\n", + "\\item 0.05\n", + "\\item 0.03\n", + "\\item 0.04\n", + "\\item 0.04\n", + "\\item 0.04\n", + "\\item 0.04\n", + "\\item 0.04\n", + "\\item 0.03\n", + "\\item 0.05\n", + "\\item 0.06\n", + "\\item 0.03\n", + "\\item 0.04\n", + "\\item 0.03\n", + "\\item 0.06\n", + "\\item 0.02\n", + "\\item 0.03\n", + "\\item 0.03\n", + "\\item 0.05\n", + "\\item 0.04\n", + "\\item 0.04\n", + "\\item 0.04\n", + "\\item 0.03\n", + "\\item 0.04\n", + "\\item 0.04\n", + "\\item 0.04\n", + "\\item 0.04\n", + "\\end{enumerate*}\n", + "\n", + "\\item[\\$MSE\\_list] \\begin{enumerate}\n", + "\\item \\begin{enumerate}\n", + "\\item 0.201774342708874\n", + "\\item 0.367002739431225\n", + "\\item 0.347321353062762\n", + "\\item 0.187833797243742\n", + "\\item 0.212634780319804\n", + "\\item 0.210875652059074\n", + "\\item 0.221087360943093\n", + "\\item 0.183236020527385\n", + "\\item 0.277330042699436\n", + "\\item 0.313091584167215\n", + "\\item 0.252829297436607\n", + "\\item 0.201535693890082\n", + "\\item 0.154105406862645\n", + "\\item 0.213888812801475\n", + "\\item 0.253882961686792\n", + "\\item 0.104247591613994\n", + "\\item 0.328083039954627\n", + "\\item 0.274923268096096\n", + "\\item 0.329253804390263\n", + "\\item 0.239857188701708\n", + "\\item 0.285953092825099\n", + "\\item 0.241374274189174\n", + "\\item 0.277862549603816\n", + "\\item 0.351196449125011\n", + "\\item 0.37296490561996\n", + "\\item 0.0459176127204355\n", + "\\item 0.189737480297106\n", + "\\item 0.237209467005608\n", + "\\item 0.321019129930169\n", + "\\item 0.283357364511277\n", + "\\item 0.269888911566795\n", + "\\item 0.239286407259001\n", + "\\item 0.225136701523363\n", + "\\item 0.285702793036439\n", + "\\item 0.18717868537626\n", + "\\item 0.26520510856703\n", + "\\item 0.279846208994034\n", + "\\item 0.237035594706878\n", + "\\item 0.30548607165726\n", + "\\item 0.201682050379622\n", + "\\item 0.200778768369014\n", + "\\item 0.232629020475939\n", + "\\item 0.225031194405874\n", + "\\item 0.321123187651997\n", + "\\item 0.203047270632305\n", + "\\item 0.0842951922361102\n", + "\\item 0.132819251452149\n", + "\\item 0.249180885247385\n", + "\\item 0.449703579181221\n", + "\\item 0.373724845977332\n", + "\\item 0.231442860291785\n", + "\\item 0.410790925773465\n", + "\\item 0.209594422635705\n", + "\\item 0.319170905986656\n", + "\\item 0.363532827233284\n", + "\\item 0.222440079459978\n", + "\\item 0.372912189794012\n", + "\\item 0.392914897775438\n", + "\\item 0.324093510065346\n", + "\\item 0.266753196508865\n", + "\\item 0.165316990415932\n", + "\\item 0.0903874947021871\n", + "\\item 0.217130109849503\n", + "\\item 0.151693775061472\n", + "\\item 0.194324576643408\n", + "\\item 0.164174659968436\n", + "\\item 0.285832176771582\n", + "\\item 0.227925621401444\n", + "\\item 0.17771878028321\n", + "\\item 0.263235109569787\n", + "\\item 0.259342970518129\n", + "\\item 0.324855122492665\n", + "\\item 0.119318466381913\n", + "\\item 0.152207909662821\n", + "\\item 0.313567297425037\n", + "\\item 0.290771858941273\n", + "\\item 0.228192760069549\n", + "\\item 0.350743497468571\n", + "\\item 0.176665813895496\n", + "\\item 0.182789373651558\n", + "\\item 0.263976829401025\n", + "\\item 0.391056643787704\n", + "\\item 0.338979096549215\n", + "\\item 0.149135602669803\n", + "\\item 0.328308180295887\n", + "\\item 0.339481202433384\n", + "\\item 0.211240191574141\n", + "\\item 0.204149887601893\n", + "\\item 0.353464909809868\n", + "\\item 0.271519590335686\n", + "\\item 0.290610977637217\n", + "\\item 0.174514543380127\n", + "\\item 0.275962279682781\n", + "\\item 0.24190366040256\n", + "\\item 0.25420773595058\n", + "\\item 0.151726336835321\n", + "\\item 0.163359483266437\n", + "\\item 0.273445379396894\n", + "\\item 0.279056040405612\n", + "\\item 0.289078543557392\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 0.168649453820619\n", + "\\item 0.217270509188938\n", + "\\item 0.268106055214043\n", + "\\item 0.370195516537672\n", + "\\item 0.127536074255354\n", + "\\item 0.311471147701895\n", + "\\item 0.399582017509592\n", + "\\item 0.258615016791409\n", + "\\item 0.159183292471608\n", + "\\item 0.285704138313807\n", + "\\item 0.179984877242506\n", + "\\item 0.323051519539947\n", + "\\item 0.21615104829391\n", + "\\item 0.353388618538419\n", + "\\item 0.271650830177836\n", + "\\item 0.357355262658282\n", + "\\item 0.121344545374812\n", + "\\item 0.175060775519691\n", + "\\item 0.196385543006233\n", + "\\item 0.255459180282134\n", + "\\item 0.214438961955632\n", + "\\item 0.327932719737282\n", + "\\item 0.208410239747753\n", + "\\item 0.351853731396282\n", + "\\item 0.36683571788394\n", + "\\item 0.285832677025815\n", + "\\item 0.168916992237808\n", + "\\item 0.28070092376775\n", + "\\item 0.21857914359001\n", + "\\item 0.290784078915704\n", + "\\item 0.316422823078941\n", + "\\item 0.315352878544981\n", + "\\item 0.199462205255271\n", + "\\item 0.271263255035104\n", + "\\item 0.24627301311847\n", + "\\item 0.312983071109783\n", + "\\item 0.208495868753505\n", + "\\item 0.215925900898082\n", + "\\item 0.273999295494476\n", + "\\item 0.349059923755184\n", + "\\item 0.260163363252043\n", + "\\item 0.374928964548939\n", + "\\item 0.246685887210515\n", + "\\item 0.256543311668925\n", + "\\item 0.197534233593325\n", + "\\item 0.260609201169074\n", + "\\item 0.277852335609497\n", + "\\item 0.206300994431788\n", + "\\item 0.210693075181785\n", + "\\item 0.247328333144037\n", + "\\item 0.343221469866495\n", + "\\item 0.187466626711526\n", + "\\item 0.189371476770436\n", + "\\item 0.232375240394445\n", + "\\item 0.191822038196943\n", + "\\item 0.268928213108853\n", + "\\item 0.244590055789285\n", + "\\item 0.242603223196119\n", + "\\item 0.228595065032681\n", + "\\item 0.129839086323535\n", + "\\item 0.319472667188887\n", + "\\item 0.31668162815947\n", + "\\item 0.245327696390127\n", + "\\item 0.197116671855861\n", + "\\item 0.175331719368148\n", + "\\item 0.202151614830716\n", + "\\item 0.190776973100114\n", + "\\item 0.298467459893127\n", + "\\item 0.159892678927822\n", + "\\item 0.23239284034955\n", + "\\item 0.213085580864166\n", + "\\item 0.212534631100001\n", + "\\item 0.165427213804092\n", + "\\item 0.20440611138784\n", + "\\item 0.213982355851121\n", + "\\item 0.327926612449784\n", + "\\item 0.311676796999944\n", + "\\item 0.22743088642993\n", + "\\item 0.327657124745305\n", + "\\item 0.311882656048529\n", + "\\item 0.233835092793675\n", + "\\item 0.256670762314346\n", + "\\item 0.237895771354834\n", + "\\item 0.313757094025441\n", + "\\item 0.297948292036202\n", + "\\item 0.211345786517538\n", + "\\item 0.191788417509479\n", + "\\item 0.298951666854841\n", + "\\item 0.279440709919989\n", + "\\item 0.251213633516391\n", + "\\item 0.3083460601569\n", + "\\item 0.283929851064096\n", + "\\item 0.360659724276887\n", + "\\item 0.289529578511412\n", + "\\item 0.275032613741432\n", + "\\item 0.220828263299377\n", + "\\item 0.16721992655647\n", + "\\item 0.293743129174941\n", + "\\item 0.176478661911269\n", + "\\item 0.438410445273826\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 0.292970376874829\n", + "\\item 0.223365610132781\n", + "\\item 0.204196891924858\n", + "\\item 0.209761452987763\n", + "\\item 0.238738513992169\n", + "\\item 0.351228202233672\n", + "\\item 0.261291153715451\n", + "\\item 0.28577244103529\n", + "\\item 0.36777364735798\n", + "\\item 0.119425488694248\n", + "\\item 0.2720269706561\n", + "\\item 0.304139235365685\n", + "\\item 0.257868429728152\n", + "\\item 0.147604173850993\n", + "\\item 0.260368858738336\n", + "\\item 0.226627509749219\n", + "\\item 0.212570274944816\n", + "\\item 0.228037195927181\n", + "\\item 0.204686855119717\n", + "\\item 0.233243322609726\n", + "\\item 0.23169617278227\n", + "\\item 0.216909370895615\n", + "\\item 0.19224513724151\n", + "\\item 0.186737359017209\n", + "\\item 0.239785417921431\n", + "\\item 0.140307289182006\n", + "\\item 0.098557369744294\n", + "\\item 0.219567116475272\n", + "\\item 0.253302716069123\n", + "\\item 0.202563958014256\n", + "\\item 0.199954630711277\n", + "\\item 0.284539833227144\n", + "\\item 0.353027759303865\n", + "\\item 0.265130437510405\n", + "\\item 0.288092788800975\n", + "\\item 0.232956751455579\n", + "\\item 0.174631496395585\n", + "\\item 0.198375548641845\n", + "\\item 0.127384579483984\n", + "\\item 0.0458779016311549\n", + "\\item 0.240059700806701\n", + "\\item 0.198937395379927\n", + "\\item 0.221816885357327\n", + "\\item 0.134644372175764\n", + "\\item 0.199896525896629\n", + "\\item 0.232888835159379\n", + "\\item 0.280079898053288\n", + "\\item 0.228095770417984\n", + "\\item 0.276040047117136\n", + "\\item 0.220275076528148\n", + "\\item 0.228947184807771\n", + "\\item 0.227450121344466\n", + "\\item 0.260665786199639\n", + "\\item 0.344855386641989\n", + "\\item 0.167473464083167\n", + "\\item 0.054556175573363\n", + "\\item 0.222727178499859\n", + "\\item 0.19867150666074\n", + "\\item 0.328218364480156\n", + "\\item 0.202054769455452\n", + "\\item 0.248017958651481\n", + "\\item 0.133230482356637\n", + "\\item 0.188540301307866\n", + "\\item 0.258717477279512\n", + "\\item 0.112649083893215\n", + "\\item 0.217050900633969\n", + "\\item 0.213141599229197\n", + "\\item 0.234567834078062\n", + "\\item 0.15599501496467\n", + "\\item 0.281063265393915\n", + "\\item 0.188932164266608\n", + "\\item 0.171244797201143\n", + "\\item 0.0950166210892767\n", + "\\item 0.184281750113072\n", + "\\item 0.343924691743679\n", + "\\item 0.234004606198146\n", + "\\item 0.25327657682862\n", + "\\item 0.124277238787127\n", + "\\item 0.311532358039067\n", + "\\item 0.244042388794067\n", + "\\item 0.177167929855366\n", + "\\item 0.147514255799604\n", + "\\item 0.227832762328639\n", + "\\item 0.247467978139985\n", + "\\item 0.221163269032827\n", + "\\item 0.323765601261645\n", + "\\item 0.310380776049678\n", + "\\item 0.327717831759276\n", + "\\item 0.18176124923786\n", + "\\item 0.181320550821233\n", + "\\item 0.208529246546554\n", + "\\item 0.242125569259947\n", + "\\item 0.21621683216412\n", + "\\item 0.178980625520734\n", + "\\item 0.164514795802952\n", + "\\item 0.157541180282572\n", + "\\item 0.11916510897911\n", + "\\item 0.232951989423116\n", + "\\item 0.226976984343368\n", + "\\item 0.301068792169526\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 0.224886383058404\n", + "\\item 0.146601465709439\n", + "\\item 0.344379100635202\n", + "\\item 0.309962377905915\n", + "\\item 0.374834265013987\n", + "\\item 0.159216380716071\n", + "\\item 0.291066744918314\n", + "\\item 0.290141697467433\n", + "\\item 0.322824674302816\n", + "\\item 0.219204102005685\n", + "\\item 0.423455350840854\n", + "\\item 0.23696800657826\n", + "\\item 0.1466288754091\n", + "\\item 0.279070198106314\n", + "\\item 0.296556166433194\n", + "\\item 0.308382600838423\n", + "\\item 0.227837710379557\n", + "\\item 0.316134677711096\n", + "\\item 0.172479801903286\n", + "\\item 0.179148887206068\n", + "\\item 0.0764719838396325\n", + "\\item 0.194219489403483\n", + "\\item 0.165584384452119\n", + "\\item 0.304404438494593\n", + "\\item 0.199847740215389\n", + "\\item 0.168658102720209\n", + "\\item 0.271192521310095\n", + "\\item 0.255053605021541\n", + "\\item 0.290254675823195\n", + "\\item 0.289286526128435\n", + "\\item 0.219284622720952\n", + "\\item 0.410828005428761\n", + "\\item 0.125554193943029\n", + "\\item 0.291634621774793\n", + "\\item 0.248567860193769\n", + "\\item 0.300011817032099\n", + "\\item 0.362374791067677\n", + "\\item 0.231320939550589\n", + "\\item 0.230282672571828\n", + "\\item 0.23249067092364\n", + "\\item 0.255218932732985\n", + "\\item 0.239181883042716\n", + "\\item 0.22513692504377\n", + "\\item 0.202259817035965\n", + "\\item 0.234270180047606\n", + "\\item 0.116708466272156\n", + "\\item 0.27473707559417\n", + "\\item 0.365052027050165\n", + "\\item 0.18236684665122\n", + "\\item 0.288202529415202\n", + "\\item 0.15618200886282\n", + "\\item 0.247231369910339\n", + "\\item 0.207784431570111\n", + "\\item 0.28700370251107\n", + "\\item 0.248244836537611\n", + "\\item 0.24362639366544\n", + "\\item 0.189338253737487\n", + "\\item 0.414661577338388\n", + "\\item 0.175034411510838\n", + "\\item 0.192118665280591\n", + "\\item 0.202291065923612\n", + "\\item 0.197722622757115\n", + "\\item 0.19369535612034\n", + "\\item 0.297724848218149\n", + "\\item 0.177432875874653\n", + "\\item 0.250989941013071\n", + "\\item 0.167732864315987\n", + "\\item 0.274572292236522\n", + "\\item 0.314911434733522\n", + "\\item 0.316553802587468\n", + "\\item 0.226220851533168\n", + "\\item 0.138921845823215\n", + "\\item 0.140722464994732\n", + "\\item 0.27762540242931\n", + "\\item 0.161233840069093\n", + "\\item 0.311569964437023\n", + "\\item 0.285959327080026\n", + "\\item 0.285496074399887\n", + "\\item 0.204610009119848\n", + "\\item 0.22176609980592\n", + "\\item 0.194426399567553\n", + "\\item 0.222829817916989\n", + "\\item 0.26375453851918\n", + "\\item 0.337723576251225\n", + "\\item 0.289705070622093\n", + "\\item 0.206974484769917\n", + "\\item 0.160608632751283\n", + "\\item 0.36334964240081\n", + "\\item 0.265008671139317\n", + "\\item 0.270044536367226\n", + "\\item 0.316473282047724\n", + "\\item 0.193622498962914\n", + "\\item 0.279024690221289\n", + "\\item 0.304635735617187\n", + "\\item 0.152633730162707\n", + "\\item 0.330497736806837\n", + "\\item 0.170023363890876\n", + "\\item 0.304019746647222\n", + "\\item 0.184128377876798\n", + "\\item 0.319234261966038\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 0.184967984580631\n", + "\\item 0.212806122140258\n", + "\\item 0.33907714503728\n", + "\\item 0.296021090220151\n", + "\\item 0.195400728315444\n", + "\\item 0.299607951352089\n", + "\\item 0.12500833128009\n", + "\\item 0.311713514478818\n", + "\\item 0.0925923454270298\n", + "\\item 0.32101949898756\n", + "\\item 0.123011191829117\n", + "\\item 0.24989266101819\n", + "\\item 0.244275030669233\n", + "\\item 0.179346027284001\n", + "\\item 0.180213845828411\n", + "\\item 0.32504710016673\n", + "\\item 0.195254255231491\n", + "\\item 0.201740331466644\n", + "\\item 0.229179225691133\n", + "\\item 0.365851203361736\n", + "\\item 0.276201271615369\n", + "\\item 0.076810977683485\n", + "\\item 0.275487260789094\n", + "\\item 0.202213745853713\n", + "\\item 0.145602400890055\n", + "\\item 0.286610389367926\n", + "\\item 0.209641167669334\n", + "\\item 0.386140739739626\n", + "\\item 0.278611532982777\n", + "\\item 0.190119292760104\n", + "\\item 0.356805845298362\n", + "\\item 0.305746543892578\n", + "\\item 0.367789327700858\n", + "\\item 0.344519886730268\n", + "\\item 0.117101059647403\n", + "\\item 0.162675460782572\n", + "\\item 0.247041420418654\n", + "\\item 0.171515430489162\n", + "\\item 0.219618538007955\n", + "\\item 0.241652623266254\n", + "\\item 0.250195590309083\n", + "\\item 0.166893912272488\n", + "\\item 0.260479666637691\n", + "\\item 0.185969933275518\n", + "\\item 0.251323870441441\n", + "\\item 0.203561153144497\n", + "\\item 0.200575321297626\n", + "\\item 0.26223219366487\n", + "\\item 0.240955554460676\n", + "\\item 0.357012783879287\n", + "\\item 0.109156045417307\n", + "\\item 0.294455774252191\n", + "\\item 0.282583317853091\n", + "\\item 0.272568294641469\n", + "\\item 0.227913166452197\n", + "\\item 0.163097603729112\n", + "\\item 0.140293782097837\n", + "\\item 0.332287931732974\n", + "\\item 0.354358501550858\n", + "\\item 0.261790866075304\n", + "\\item 0.198756505764512\n", + "\\item 0.170293565609723\n", + "\\item 0.248022235091157\n", + "\\item 0.216410670797081\n", + "\\item 0.166431039024888\n", + "\\item 0.253862267840302\n", + "\\item 0.213583509942298\n", + "\\item 0.374665404907427\n", + "\\item 0.136077708637166\n", + "\\item 0.134595738221394\n", + "\\item 0.277984938284432\n", + "\\item 0.304045577939237\n", + "\\item 0.360298008702665\n", + "\\item 0.237239425410848\n", + "\\item 0.202273593297929\n", + "\\item 0.193270500800706\n", + "\\item 0.26226544948034\n", + "\\item 0.294524395881727\n", + "\\item 0.287759558681104\n", + "\\item 0.167152549574178\n", + "\\item 0.0788239517731438\n", + "\\item 0.247011291876638\n", + "\\item 0.15400831896227\n", + "\\item 0.255128425648538\n", + "\\item 0.230725768807958\n", + "\\item 0.154851392473061\n", + "\\item 0.132061783107471\n", + "\\item 0.21309435379866\n", + "\\item 0.106216747777884\n", + "\\item 0.367714062173284\n", + "\\item 0.106763870127403\n", + "\\item 0.24992591136903\n", + "\\item 0.118791093945173\n", + "\\item 0.147275034451124\n", + "\\item 0.204694884606961\n", + "\\item 0.182532547166118\n", + "\\item 0.112612441608662\n", + "\\item 0.230157826849567\n", + "\\item 0.23766079713885\n", + "\\item 0.298347163995727\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 0.310882074042407\n", + "\\item 0.30922962447375\n", + "\\item 0.274545643695307\n", + "\\item 0.173471240397953\n", + "\\item 0.215999596606673\n", + "\\item 0.309567777543566\n", + "\\item 0.355852469324509\n", + "\\item 0.253211491264024\n", + "\\item 0.275132131224133\n", + "\\item 0.39241449915515\n", + "\\item 0.318076367043781\n", + "\\item 0.13245902663671\n", + "\\item 0.151192058211677\n", + "\\item 0.438612418029166\n", + "\\item 0.288543784881715\n", + "\\item 0.286947309279341\n", + "\\item 0.288954008891374\n", + "\\item 0.236197764616443\n", + "\\item 0.238886443002993\n", + "\\item 0.283511196558074\n", + "\\item 0.124307872809328\n", + "\\item 0.222317935139929\n", + "\\item 0.25520891470591\n", + "\\item 0.226789317198518\n", + "\\item 0.237939003284526\n", + "\\item 0.287402964115721\n", + "\\item 0.2582359962602\n", + "\\item 0.419456187209062\n", + "\\item 0.391848350322264\n", + "\\item 0.337429599938339\n", + "\\item 0.189948540359083\n", + "\\item 0.226548041646253\n", + "\\item 0.289277330493153\n", + "\\item 0.453565305837076\n", + "\\item 0.116503905434092\n", + "\\item 0.318453523567796\n", + "\\item 0.425678001843043\n", + "\\item 0.184475218630743\n", + "\\item 0.261349174080883\n", + "\\item 0.294424951639898\n", + "\\item 0.29702902312852\n", + "\\item 0.341265040781533\n", + "\\item 0.264208774268102\n", + "\\item 0.297297585377944\n", + "\\item 0.371353918418175\n", + "\\item 0.240521997476573\n", + "\\item 0.219237794353146\n", + "\\item 0.172736475587877\n", + "\\item 0.29997569922252\n", + "\\item 0.348090459765713\n", + "\\item 0.24642547241138\n", + "\\item 0.531113102214982\n", + "\\item 0.15508577523656\n", + "\\item 0.31917009413058\n", + "\\item 0.181156574125426\n", + "\\item 0.15874573266444\n", + "\\item 0.1690037560204\n", + "\\item 0.233999281027615\n", + "\\item 0.182462025365209\n", + "\\item 0.173025247041674\n", + "\\item 0.188572229136124\n", + "\\item 0.190850352034987\n", + "\\item 0.300467871235497\n", + "\\item 0.286821755941201\n", + "\\item 0.402638558008222\n", + "\\item 0.249651476222908\n", + "\\item 0.346062861105182\n", + "\\item 0.316680501599018\n", + "\\item 0.218111593024145\n", + "\\item 0.265248547329631\n", + "\\item 0.182138250907666\n", + "\\item 0.236082972242631\n", + "\\item 0.260037613927745\n", + "\\item 0.182193967287303\n", + "\\item 0.274791711356677\n", + "\\item 0.371503563839661\n", + "\\item 0.173441197336284\n", + "\\item 0.291231838502317\n", + "\\item 0.361215949764065\n", + "\\item 0.251371979647074\n", + "\\item 0.25592940258199\n", + "\\item 0.146074176224465\n", + "\\item 0.365595978828757\n", + "\\item 0.132608943599495\n", + "\\item 0.334016346468082\n", + "\\item 0.328236944691345\n", + "\\item 0.264322037635618\n", + "\\item 0.363782331288596\n", + "\\item 0.245025606871132\n", + "\\item 0.173240893792809\n", + "\\item 0.36730726231736\n", + "\\item 0.153489922534581\n", + "\\item 0.27174937584301\n", + "\\item 0.19449292532311\n", + "\\item 0.329565534085914\n", + "\\item 0.302381702258469\n", + "\\item 0.291571429284061\n", + "\\item 0.296591186282598\n", + "\\item 0.249944479563585\n", + "\\item 0.1635240114216\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 0.260620320957753\n", + "\\item 0.355500423735999\n", + "\\item 0.153916415193015\n", + "\\item 0.262594456171114\n", + "\\item 0.218083356213847\n", + "\\item 0.27704505738529\n", + "\\item 0.249379924418297\n", + "\\item 0.283024033764801\n", + "\\item 0.164310739387602\n", + "\\item 0.367156021414214\n", + "\\item 0.213526215888266\n", + "\\item 0.171912064034335\n", + "\\item 0.219704104404533\n", + "\\item 0.28188650898538\n", + "\\item 0.198100239608934\n", + "\\item 0.199057548408\n", + "\\item 0.302439934815028\n", + "\\item 0.277433983392425\n", + "\\item 0.296335021434966\n", + "\\item 0.186325335915184\n", + "\\item 0.26981736509142\n", + "\\item 0.193307693046415\n", + "\\item 0.246708616642961\n", + "\\item 0.227489497960229\n", + "\\item 0.204308688970951\n", + "\\item 0.254503781172981\n", + "\\item 0.306249569165156\n", + "\\item 0.241367016462554\n", + "\\item 0.121233227702019\n", + "\\item 0.171040035952504\n", + "\\item 0.242099255956\n", + "\\item 0.287925767148298\n", + "\\item 0.324364049989674\n", + "\\item 0.362642102635851\n", + "\\item 0.181653182031931\n", + "\\item 0.23051134744685\n", + "\\item 0.153459150248274\n", + "\\item 0.346969209969752\n", + "\\item 0.285247815558552\n", + "\\item 0.248967174598957\n", + "\\item 0.335274750553436\n", + "\\item 0.236576321544097\n", + "\\item 0.268100544390035\n", + "\\item 0.176154749160424\n", + "\\item 0.181000926276408\n", + "\\item 0.200999952886413\n", + "\\item 0.296399247781511\n", + "\\item 0.112793743895234\n", + "\\item 0.23505122541332\n", + "\\item 0.177605984370593\n", + "\\item 0.288108003149521\n", + "\\item 0.328326489452806\n", + "\\item 0.232845016113316\n", + "\\item 0.151864893186589\n", + "\\item 0.245106373705166\n", + "\\item 0.237398161882272\n", + "\\item 0.405598357907133\n", + "\\item 0.429891876321248\n", + "\\item 0.20589116607959\n", + "\\item 0.169415128913634\n", + "\\item 0.182442101245346\n", + "\\item 0.244021458321818\n", + "\\item 0.32613696882216\n", + "\\item 0.415524323114707\n", + "\\item 0.2449811706208\n", + "\\item 0.272108777368644\n", + "\\item 0.312025790156773\n", + "\\item 0.338318476009208\n", + "\\item 0.461188137067147\n", + "\\item 0.198865064053179\n", + "\\item 0.324569010045549\n", + "\\item 0.163270537875663\n", + "\\item 0.323282572743734\n", + "\\item 0.397599090429986\n", + "\\item 0.155134414766624\n", + "\\item 0.213495332047177\n", + "\\item 0.165471972205107\n", + "\\item 0.210158143258537\n", + "\\item 0.282465638666221\n", + "\\item 0.321033673888807\n", + "\\item 0.253973629046181\n", + "\\item 0.302522081807718\n", + "\\item 0.338906820015566\n", + "\\item 0.365894822163601\n", + "\\item 0.296097016183593\n", + "\\item 0.278621863762565\n", + "\\item 0.158738509238501\n", + "\\item 0.274836712149752\n", + "\\item 0.222669434623238\n", + "\\item 0.218737721510614\n", + "\\item 0.294364042571632\n", + "\\item 0.308104158118214\n", + "\\item 0.290112094919353\n", + "\\item 0.24902080494441\n", + "\\item 0.323408388074176\n", + "\\item 0.203730754893095\n", + "\\item 0.21955749289214\n", + "\\item 0.336567797337678\n", + "\\item 0.224071447287268\n", + "\\item 0.245834762938167\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 0.122970451962639\n", + "\\item 0.313014849605672\n", + "\\item 0.256133807312195\n", + "\\item 0.164719969898491\n", + "\\item 0.151511556902968\n", + "\\item 0.224104928596734\n", + "\\item 0.25474123703092\n", + "\\item 0.322412505333096\n", + "\\item 0.32519374514771\n", + "\\item 0.2028794065137\n", + "\\item 0.221600590455022\n", + "\\item 0.246604214019252\n", + "\\item 0.235262778292491\n", + "\\item 0.215192901184805\n", + "\\item 0.345469547625009\n", + "\\item 0.246557766190756\n", + "\\item 0.261934620649626\n", + "\\item 0.211128370511577\n", + "\\item 0.256753815249145\n", + "\\item 0.302537606297949\n", + "\\item 0.189113411379849\n", + "\\item 0.2172696226402\n", + "\\item 0.206863162123078\n", + "\\item 0.343626551375683\n", + "\\item 0.277207869613291\n", + "\\item 0.280743774375696\n", + "\\item 0.187109637014916\n", + "\\item 0.285435528551867\n", + "\\item 0.243756261063596\n", + "\\item 0.254536574398436\n", + "\\item 0.210645321721248\n", + "\\item 0.254513493088839\n", + "\\item 0.37412760803999\n", + "\\item 0.242004387051343\n", + "\\item 0.190118003722854\n", + "\\item 0.347903311577061\n", + "\\item 0.182006706620738\n", + "\\item 0.340474623299717\n", + "\\item 0.184674114057932\n", + "\\item 0.379338159314111\n", + "\\item 0.247185904693828\n", + "\\item 0.233886554593384\n", + "\\item 0.217496692256205\n", + "\\item 0.24753940632339\n", + "\\item 0.13865790865398\n", + "\\item 0.167684065530031\n", + "\\item 0.202508483686523\n", + "\\item 0.226141692848955\n", + "\\item 0.266621597762911\n", + "\\item 0.18131239344588\n", + "\\item 0.317052487291148\n", + "\\item 0.301498455048859\n", + "\\item 0.331577667809247\n", + "\\item 0.202182754292438\n", + "\\item 0.314287281678544\n", + "\\item 0.221560415843934\n", + "\\item 0.28512851632223\n", + "\\item 0.320164839202648\n", + "\\item 0.285758965782135\n", + "\\item 0.306967805410193\n", + "\\item 0.224386410286425\n", + "\\item 0.216352175707558\n", + "\\item 0.295922682451861\n", + "\\item 0.363825121626097\n", + "\\item 0.228190306232665\n", + "\\item 0.252567595662106\n", + "\\item 0.3069701243068\n", + "\\item 0.132585497176568\n", + "\\item 0.318824392351872\n", + "\\item 0.206338209900125\n", + "\\item 0.230504765539345\n", + "\\item 0.127709194424228\n", + "\\item 0.346651465323533\n", + "\\item 0.217665705988842\n", + "\\item 0.328837233286341\n", + "\\item 0.200242123183848\n", + "\\item 0.364058339974883\n", + "\\item 0.312806195487751\n", + "\\item 0.158710870270953\n", + "\\item 0.278440247579269\n", + "\\item 0.272824976411382\n", + "\\item 0.35856123946579\n", + "\\item 0.189308071843706\n", + "\\item 0.20513822617412\n", + "\\item 0.260311446504024\n", + "\\item 0.293722323879261\n", + "\\item 0.265319660645094\n", + "\\item 0.298393155522545\n", + "\\item 0.177583809376339\n", + "\\item 0.192491398671447\n", + "\\item 0.359020319544999\n", + "\\item 0.220385182347531\n", + "\\item 0.393344353584387\n", + "\\item 0.267352506542722\n", + "\\item 0.274034183117436\n", + "\\item 0.377033683769918\n", + "\\item 0.213168141311335\n", + "\\item 0.264435201074189\n", + "\\item 0.224288510648111\n", + "\\item 0.269499333035625\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 0.392492764335552\n", + "\\item 0.278078068758943\n", + "\\item 0.367256779109199\n", + "\\item 0.168955429524994\n", + "\\item 0.304460502188121\n", + "\\item 0.228855611531734\n", + "\\item 0.133222432094084\n", + "\\item 0.253300259605864\n", + "\\item 0.237239137184778\n", + "\\item 0.203047282778337\n", + "\\item 0.226554749876988\n", + "\\item 0.0752775069283488\n", + "\\item 0.141708097800826\n", + "\\item 0.301962719251708\n", + "\\item 0.236259818752394\n", + "\\item 0.274251427142118\n", + "\\item 0.159655265887595\n", + "\\item 0.235184784198151\n", + "\\item 0.177062177947102\n", + "\\item 0.239743334904552\n", + "\\item 0.0492166171790283\n", + "\\item 0.0847440700457797\n", + "\\item 0.184131909388499\n", + "\\item 0.124536742493607\n", + "\\item 0.283720411919999\n", + "\\item 0.270326051538516\n", + "\\item 0.294042667438991\n", + "\\item 0.237092689053094\n", + "\\item 0.258290413597234\n", + "\\item 0.179156432553796\n", + "\\item 0.243465404297381\n", + "\\item 0.329794940110617\n", + "\\item 0.241066786506472\n", + "\\item 0.21485631854322\n", + "\\item 0.260469628317095\n", + "\\item 0.255004321965636\n", + "\\item 0.268388741529306\n", + "\\item 0.309363093546897\n", + "\\item 0.294361720275909\n", + "\\item 0.172374187871293\n", + "\\item 0.208588034439222\n", + "\\item 0.200409131368472\n", + "\\item 0.126630507395055\n", + "\\item 0.266198992819414\n", + "\\item 0.221067746304243\n", + "\\item 0.176568267261721\n", + "\\item 0.282247751730716\n", + "\\item 0.0791038202734023\n", + "\\item 0.215040097699969\n", + "\\item 0.152049295557242\n", + "\\item 0.186248907699464\n", + "\\item 0.338065838054893\n", + "\\item 0.264371963225698\n", + "\\item 0.18065723187499\n", + "\\item 0.252591008713463\n", + "\\item 0.213124077448487\n", + "\\item 0.341011994993441\n", + "\\item 0.232077220269405\n", + "\\item 0.241948168334241\n", + "\\item 0.253868009838194\n", + "\\item 0.328262050785587\n", + "\\item 0.32005669566544\n", + "\\item 0.210128527235026\n", + "\\item 0.162032303513335\n", + "\\item 0.171286015124932\n", + "\\item 0.164489279298659\n", + "\\item 0.159404162814962\n", + "\\item 0.177319657852768\n", + "\\item 0.205913987445962\n", + "\\item 0.374651439421139\n", + "\\item 0.156929393691852\n", + "\\item 0.285351503333798\n", + "\\item 0.267713145420436\n", + "\\item 0.209765974121835\n", + "\\item 0.2452717522654\n", + "\\item 0.27922450836441\n", + "\\item 0.218518683283222\n", + "\\item 0.24086847667339\n", + "\\item 0.22867630370442\n", + "\\item 0.296476781308938\n", + "\\item 0.199730939693229\n", + "\\item 0.257162829951432\n", + "\\item 0.372157320936844\n", + "\\item 0.175053428996875\n", + "\\item 0.235505672111123\n", + "\\item 0.215848817146034\n", + "\\item 0.283729969286235\n", + "\\item 0.27256176063447\n", + "\\item 0.142342086320225\n", + "\\item 0.191553790074476\n", + "\\item 0.228784560313091\n", + "\\item 0.217310205728508\n", + "\\item 0.24909946452101\n", + "\\item 0.232042591720594\n", + "\\item 0.211374376670647\n", + "\\item 0.186821087895987\n", + "\\item 0.244751514835322\n", + "\\item 0.286934950598666\n", + "\\item 0.370723105215937\n", + "\\item 0.290617902783586\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 0.377279336433686\n", + "\\item 0.329549864952538\n", + "\\item 0.24410747425393\n", + "\\item 0.154730599984861\n", + "\\item 0.224285806577666\n", + "\\item 0.202427711873028\n", + "\\item 0.282906511028962\n", + "\\item 0.465790267709543\n", + "\\item 0.343585614741073\n", + "\\item 0.374097436491188\n", + "\\item 0.357809308238717\n", + "\\item 0.296092546044876\n", + "\\item 0.179040556817046\n", + "\\item 0.245738871241933\n", + "\\item 0.339461792029966\n", + "\\item 0.168214038181534\n", + "\\item 0.339641488642157\n", + "\\item 0.463921970703965\n", + "\\item 0.268346626729044\n", + "\\item 0.179742193144861\n", + "\\item 0.356847404364188\n", + "\\item 0.183221921977904\n", + "\\item 0.281842339543352\n", + "\\item 0.219435082574126\n", + "\\item 0.331132607935629\n", + "\\item 0.216503930672634\n", + "\\item 0.313507390352129\n", + "\\item 0.0750618642234146\n", + "\\item 0.28131870924195\n", + "\\item 0.378646566928096\n", + "\\item 0.42052251917732\n", + "\\item 0.361327430219804\n", + "\\item 0.236574198024541\n", + "\\item 0.323671637639396\n", + "\\item 0.103603587709224\n", + "\\item 0.254824191255359\n", + "\\item 0.468282735647265\n", + "\\item 0.230349501084754\n", + "\\item 0.254148478695436\n", + "\\item 0.15304179745872\n", + "\\item 0.351603001200886\n", + "\\item 0.344833149925541\n", + "\\item 0.359531143768383\n", + "\\item 0.135066617282165\n", + "\\item 0.20929176273731\n", + "\\item 0.215885439409576\n", + "\\item 0.308397370880902\n", + "\\item 0.457762974531048\n", + "\\item 0.253180329069803\n", + "\\item 0.208063963723935\n", + "\\item 0.399244071530815\n", + "\\item 0.286302740817981\n", + "\\item 0.37730163117353\n", + "\\item 0.129820039423898\n", + "\\item 0.180165337653763\n", + "\\item 0.384779757402859\n", + "\\item 0.287691326804813\n", + "\\item 0.268406352659003\n", + "\\item 0.428912551195197\n", + "\\item 0.209798394410898\n", + "\\item 0.15973227177268\n", + "\\item 0.40783565514959\n", + "\\item 0.413786068332461\n", + "\\item 0.304463970972541\n", + "\\item 0.168643098419155\n", + "\\item 0.316645338805004\n", + "\\item 0.341719393725813\n", + "\\item 0.24360519226459\n", + "\\item 0.303834557918275\n", + "\\item 0.244297957760926\n", + "\\item 0.433926979829818\n", + "\\item 0.28477039279831\n", + "\\item 0.385505688476385\n", + "\\item 0.249738940239733\n", + "\\item 0.337891971714964\n", + "\\item 0.357913520361096\n", + "\\item 0.447279759700588\n", + "\\item 0.349284768022303\n", + "\\item 0.306439149165644\n", + "\\item 0.200728580000944\n", + "\\item 0.261927297182912\n", + "\\item 0.322439090489198\n", + "\\item 0.101139573424134\n", + "\\item 0.121845103056083\n", + "\\item 0.194808812214567\n", + "\\item 0.360490346504609\n", + "\\item 0.14192105012834\n", + "\\item 0.300850594739358\n", + "\\item 0.268366607884061\n", + "\\item 0.380869659055509\n", + "\\item 0.290105205334201\n", + "\\item 0.218999557417868\n", + "\\item 0.332857322715967\n", + "\\item 0.185617502352839\n", + "\\item 0.356217684742714\n", + "\\item 0.27912009117695\n", + "\\item 0.307520413307961\n", + "\\item 0.140248861666407\n", + "\\item 0.508535524225739\n", + "\\item 0.309559750038579\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 0.206022766378561\n", + "\\item 0.328294516028147\n", + "\\item 0.393398244216708\n", + "\\item 0.301521794137806\n", + "\\item 0.302545152486012\n", + "\\item 0.341724014334535\n", + "\\item 0.314439317611347\n", + "\\item 0.286499359445476\n", + "\\item 0.360028685216493\n", + "\\item 0.169524174124833\n", + "\\item 0.166138698660397\n", + "\\item 0.122090742744781\n", + "\\item 0.240651197097485\n", + "\\item 0.281643506320383\n", + "\\item 0.15007376100984\n", + "\\item 0.37177169090804\n", + "\\item 0.149749566944192\n", + "\\item 0.342400323243457\n", + "\\item 0.318788321042803\n", + "\\item 0.254435904360281\n", + "\\item 0.37313198052306\n", + "\\item 0.263395570226027\n", + "\\item 0.279198633827308\n", + "\\item 0.332997258161521\n", + "\\item 0.382657819958841\n", + "\\item 0.293021017868451\n", + "\\item 0.415432291399473\n", + "\\item 0.168595311619308\n", + "\\item 0.375531621409035\n", + "\\item 0.242437308374489\n", + "\\item 0.151944678056308\n", + "\\item 0.4258473335703\n", + "\\item 0.391691159929812\n", + "\\item 0.134072496005919\n", + "\\item 0.268695911241991\n", + "\\item 0.296349208203783\n", + "\\item 0.279810381742373\n", + "\\item 0.128548540267791\n", + "\\item 0.262254321102552\n", + "\\item 0.235183414974679\n", + "\\item 0.226618203901064\n", + "\\item 0.195724335543735\n", + "\\item 0.399189156418279\n", + "\\item 0.242278247806481\n", + "\\item 0.242477379346694\n", + "\\item 0.229809712632904\n", + "\\item 0.229087455567102\n", + "\\item 0.0785030187308801\n", + "\\item 0.354738793635932\n", + "\\item 0.280568677192804\n", + "\\item 0.327452589300325\n", + "\\item 0.461608899901101\n", + "\\item 0.176682348459972\n", + "\\item 0.28722712152053\n", + "\\item 0.250103740842398\n", + "\\item 0.276779741453996\n", + "\\item 0.233101262058652\n", + "\\item 0.272216334503702\n", + "\\item 0.253967478936185\n", + "\\item 0.212778335817514\n", + "\\item 0.202662815518771\n", + "\\item 0.340158001065335\n", + "\\item 0.307393928596828\n", + "\\item 0.420224998634528\n", + "\\item 0.235365693661475\n", + "\\item 0.318940767179973\n", + "\\item 0.262510298193822\n", + "\\item 0.337618423368559\n", + "\\item 0.207338913379299\n", + "\\item 0.443603327864535\n", + "\\item 0.227226165149923\n", + "\\item 0.155700346834318\n", + "\\item 0.393726219514412\n", + "\\item 0.30760792939607\n", + "\\item 0.209297962157589\n", + "\\item 0.238725795751075\n", + "\\item 0.112996547859683\n", + "\\item 0.369189614223925\n", + "\\item 0.237361280886032\n", + "\\item 0.364811546473651\n", + "\\item 0.298634534963094\n", + "\\item 0.215150819730193\n", + "\\item 0.279202838113251\n", + "\\item 0.198872059096259\n", + "\\item 0.380547835076\n", + "\\item 0.301845361416345\n", + "\\item 0.255182149470308\n", + "\\item 0.277543171057835\n", + "\\item 0.345929841263982\n", + "\\item 0.344587663476746\n", + "\\item 0.410026402631716\n", + "\\item 0.337173747466911\n", + "\\item 0.408437361054806\n", + "\\item 0.301522183155643\n", + "\\item 0.330096774420152\n", + "\\item 0.206165676428786\n", + "\\item 0.205688087919411\n", + "\\item 0.2437344939858\n", + "\\item 0.39514657591116\n", + "\\item 0.113643176328873\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 0.245918984788407\n", + "\\item 0.240989420640374\n", + "\\item 0.212682666940386\n", + "\\item 0.306791338612339\n", + "\\item 0.303262866795224\n", + "\\item 0.367796473737511\n", + "\\item 0.268940127118937\n", + "\\item 0.317264726206062\n", + "\\item 0.183395851201978\n", + "\\item 0.185848724866424\n", + "\\item 0.2118127326115\n", + "\\item 0.204233650787757\n", + "\\item 0.351851265054752\n", + "\\item 0.224353155910415\n", + "\\item 0.312995747746167\n", + "\\item 0.253465348630844\n", + "\\item 0.167156382545128\n", + "\\item 0.226188981387021\n", + "\\item 0.261352083079857\n", + "\\item 0.324267007097013\n", + "\\item 0.300458106776626\n", + "\\item 0.161098691895777\n", + "\\item 0.240605057975015\n", + "\\item 0.314208075171656\n", + "\\item 0.161801890906778\n", + "\\item 0.220288905402486\n", + "\\item 0.20370366001822\n", + "\\item 0.239223280719935\n", + "\\item 0.362676211332701\n", + "\\item 0.172091431071986\n", + "\\item 0.268306629585756\n", + "\\item 0.166428220802535\n", + "\\item 0.276540302555187\n", + "\\item 0.28760149351473\n", + "\\item 0.22409475343583\n", + "\\item 0.361566059476128\n", + "\\item 0.177877710378526\n", + "\\item 0.160932437446327\n", + "\\item 0.42935075298062\n", + "\\item 0.178643890044928\n", + "\\item 0.148449094579411\n", + "\\item 0.194513108640159\n", + "\\item 0.220048243610195\n", + "\\item 0.18225589298037\n", + "\\item 0.249271643055657\n", + "\\item 0.222989163350465\n", + "\\item 0.402636656428645\n", + "\\item 0.321335437618927\n", + "\\item 0.242433247464946\n", + "\\item 0.245194385159592\n", + "\\item 0.138017195812014\n", + "\\item 0.366630348397653\n", + "\\item 0.220412542117664\n", + "\\item 0.167606055199153\n", + "\\item 0.30476637918771\n", + "\\item 0.198704373749697\n", + "\\item 0.268698674456146\n", + "\\item 0.345304989039842\n", + "\\item 0.277233795622108\n", + "\\item 0.257077612409264\n", + "\\item 0.299276698925016\n", + "\\item 0.234684994998322\n", + "\\item 0.368752562992091\n", + "\\item 0.330765535579354\n", + "\\item 0.312184324992632\n", + "\\item 0.150199482716163\n", + "\\item 0.152914336304857\n", + "\\item 0.346048108392208\n", + "\\item 0.352023765173632\n", + "\\item 0.227900593629244\n", + "\\item 0.415738301619756\n", + "\\item 0.114335574538001\n", + "\\item 0.323965110495983\n", + "\\item 0.327601973485841\n", + "\\item 0.174609014495632\n", + "\\item 0.231542117606826\n", + "\\item 0.163701785281115\n", + "\\item 0.310501399902076\n", + "\\item 0.282764685510133\n", + "\\item 0.1668175333853\n", + "\\item 0.172012661538481\n", + "\\item 0.328592986572824\n", + "\\item 0.379921656691291\n", + "\\item 0.114076319931355\n", + "\\item 0.174461303463044\n", + "\\item 0.298482175601416\n", + "\\item 0.271882319223707\n", + "\\item 0.353157649690863\n", + "\\item 0.254078488369421\n", + "\\item 0.257358459612879\n", + "\\item 0.121720242640663\n", + "\\item 0.229219379014748\n", + "\\item 0.245176468092241\n", + "\\item 0.31839569704565\n", + "\\item 0.323068086091796\n", + "\\item 0.309747713252965\n", + "\\item 0.276347567826744\n", + "\\item 0.127472486473103\n", + "\\item 0.278354295272939\n", + "\\item 0.199782227536252\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 0.361068416433224\n", + "\\item 0.250502946124361\n", + "\\item 0.285692612854053\n", + "\\item 0.185825086635093\n", + "\\item 0.157963477406099\n", + "\\item 0.166582178803557\n", + "\\item 0.278787081499207\n", + "\\item 0.244260003691866\n", + "\\item 0.119754714391819\n", + "\\item 0.257845922661006\n", + "\\item 0.126551037531682\n", + "\\item 0.185907092798169\n", + "\\item 0.0980946497248348\n", + "\\item 0.125320294042207\n", + "\\item 0.342536725411629\n", + "\\item 0.348802030798342\n", + "\\item 0.413425471598774\n", + "\\item 0.216950816909284\n", + "\\item 0.195006782575772\n", + "\\item 0.112027409990741\n", + "\\item 0.198437126171373\n", + "\\item 0.246685824944863\n", + "\\item 0.172985563857289\n", + "\\item 0.231896633869998\n", + "\\item 0.192450386703374\n", + "\\item 0.335419931495419\n", + "\\item 0.315100626336186\n", + "\\item 0.316584982178925\n", + "\\item 0.166057270851798\n", + "\\item 0.14626994917559\n", + "\\item 0.241221408429135\n", + "\\item 0.113657891625203\n", + "\\item 0.189662299517269\n", + "\\item 0.318570014014235\n", + "\\item 0.175249094008839\n", + "\\item 0.293726795981295\n", + "\\item 0.364663631938145\n", + "\\item 0.336916637271882\n", + "\\item 0.192478102221906\n", + "\\item 0.283729002107256\n", + "\\item 0.26996792419128\n", + "\\item 0.213632762069806\n", + "\\item 0.210345507520284\n", + "\\item 0.156067073838064\n", + "\\item 0.276619172234762\n", + "\\item 0.255501119723904\n", + "\\item 0.361884118084956\n", + "\\item 0.379268223294151\n", + "\\item 0.376984513647955\n", + "\\item 0.26917299336113\n", + "\\item 0.235045700513172\n", + "\\item 0.251277131532414\n", + "\\item 0.371768553032997\n", + "\\item 0.306937028757125\n", + "\\item 0.250904929729821\n", + "\\item 0.248582546760465\n", + "\\item 0.414844343834913\n", + "\\item 0.335725899854173\n", + "\\item 0.166298975904846\n", + "\\item 0.1217266509094\n", + "\\item 0.260015359761897\n", + "\\item 0.289824818269691\n", + "\\item 0.199709370842257\n", + "\\item 0.246917254720945\n", + "\\item 0.24910966994737\n", + "\\item 0.265419513788873\n", + "\\item 0.297755049210948\n", + "\\item 0.292563458034237\n", + "\\item 0.237514492623093\n", + "\\item 0.194912757089872\n", + "\\item 0.210822205378268\n", + "\\item 0.275709703842957\n", + "\\item 0.231356766040692\n", + "\\item 0.185619335046564\n", + "\\item 0.171998010100456\n", + "\\item 0.238283014317973\n", + "\\item 0.190245462313323\n", + "\\item 0.2254418738093\n", + "\\item 0.301842337358637\n", + "\\item 0.314572254192486\n", + "\\item 0.191439209263902\n", + "\\item 0.497587542909956\n", + "\\item 0.23511745854164\n", + "\\item 0.321532580078547\n", + "\\item 0.208291220799571\n", + "\\item 0.250944229522822\n", + "\\item 0.202586688227142\n", + "\\item 0.0897360726585109\n", + "\\item 0.183950951792291\n", + "\\item 0.334267579604874\n", + "\\item 0.138161532440042\n", + "\\item 0.110502894093863\n", + "\\item 0.213613535626049\n", + "\\item 0.247352217301462\n", + "\\item 0.127879300242375\n", + "\\item 0.320421717544876\n", + "\\item 0.201534494171501\n", + "\\item 0.279813229165767\n", + "\\item 0.293525261646763\n", + "\\item 0.174301511760647\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 0.283467056786419\n", + "\\item 0.199559185724434\n", + "\\item 0.168050337934146\n", + "\\item 0.248786801988689\n", + "\\item 0.259692942360791\n", + "\\item 0.339962304008559\n", + "\\item 0.382759329675778\n", + "\\item 0.234785311223657\n", + "\\item 0.255922043331739\n", + "\\item 0.297529389870943\n", + "\\item 0.253049940793297\n", + "\\item 0.343822263436268\n", + "\\item 0.336390027567068\n", + "\\item 0.401247796076726\n", + "\\item 0.133723322882035\n", + "\\item 0.298764640273445\n", + "\\item 0.266115428289413\n", + "\\item 0.164405490023566\n", + "\\item 0.248942851109834\n", + "\\item 0.348413535437695\n", + "\\item 0.109119271259944\n", + "\\item 0.24314452284838\n", + "\\item 0.436334011276323\n", + "\\item 0.230940427710793\n", + "\\item 0.36850610815867\n", + "\\item 0.345335902191609\n", + "\\item 0.322530030912575\n", + "\\item 0.197923172469059\n", + "\\item 0.376192842004495\n", + "\\item 0.257484811148925\n", + "\\item 0.49885198810681\n", + "\\item 0.208147774644597\n", + "\\item 0.275868565558302\n", + "\\item 0.232199587998211\n", + "\\item 0.245559946940446\n", + "\\item 0.232167847100409\n", + "\\item 0.208507405236343\n", + "\\item 0.206387285150611\n", + "\\item 0.273237207097943\n", + "\\item 0.330024211749845\n", + "\\item 0.256449707978998\n", + "\\item 0.471166572851898\n", + "\\item 0.36708192508158\n", + "\\item 0.286651932503803\n", + "\\item 0.320519979206019\n", + "\\item 0.320644834554138\n", + "\\item 0.366618360030943\n", + "\\item 0.296051096482738\n", + "\\item 0.242298973432592\n", + "\\item 0.238935193746867\n", + "\\item 0.151321256999484\n", + "\\item 0.281378516609937\n", + "\\item 0.194022996506271\n", + "\\item 0.175628034421311\n", + "\\item 0.232250195012522\n", + "\\item 0.230587904108866\n", + "\\item 0.303354832464371\n", + "\\item 0.21797453372721\n", + "\\item 0.288966698147916\n", + "\\item 0.396862027972805\n", + "\\item 0.283493799077848\n", + "\\item 0.144068797684281\n", + "\\item 0.317767796254528\n", + "\\item 0.386745580129827\n", + "\\item 0.241382948559575\n", + "\\item 0.318029025167511\n", + "\\item 0.350570981509881\n", + "\\item 0.218177536369962\n", + "\\item 0.374624983594842\n", + "\\item 0.187689819803541\n", + "\\item 0.212414384248463\n", + "\\item 0.173861551152846\n", + "\\item 0.349819008496983\n", + "\\item 0.196396039203152\n", + "\\item 0.321383537604507\n", + "\\item 0.260869561617617\n", + "\\item 0.326868623207407\n", + "\\item 0.311307384792683\n", + "\\item 0.258542246974669\n", + "\\item 0.220329353843437\n", + "\\item 0.234892792334246\n", + "\\item 0.443705034830419\n", + "\\item 0.348657643939568\n", + "\\item 0.39556847618294\n", + "\\item 0.356906921097407\n", + "\\item 0.299763806355253\n", + "\\item 0.438727441808105\n", + "\\item 0.289881504729666\n", + "\\item 0.357006786120035\n", + "\\item 0.267374830482576\n", + "\\item 0.306552360432233\n", + "\\item 0.277678144015154\n", + "\\item 0.379328267121372\n", + "\\item 0.244805772741356\n", + "\\item 0.110698859832302\n", + "\\item 0.158852004025384\n", + "\\item 0.288058490176247\n", + "\\item 0.278189259626314\n", + "\\item 0.338571851453479\n", + "\\item 0.355958734857568\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 0.187916400342122\n", + "\\item 0.142941050246254\n", + "\\item 0.279890328615454\n", + "\\item 0.215383461690559\n", + "\\item 0.0859325833842848\n", + "\\item 0.105652480819271\n", + "\\item 0.198567330996084\n", + "\\item 0.151232480949772\n", + "\\item 0.156538447992041\n", + "\\item 0.0814700607149507\n", + "\\item 0.173807610428291\n", + "\\item 0.294027575992537\n", + "\\item 0.230549273074\n", + "\\item 0.0792302094315897\n", + "\\item 0.240569213433345\n", + "\\item 0.0815828204116991\n", + "\\item 0.287711411899347\n", + "\\item 0.251546924921024\n", + "\\item 0.18705051333682\n", + "\\item 0.246585696196311\n", + "\\item 0.204390631508102\n", + "\\item 0.230130086781824\n", + "\\item 0.193874231685404\n", + "\\item 0.31879463699136\n", + "\\item 0.256253542355085\n", + "\\item 0.212932007915823\n", + "\\item 0.294826804289983\n", + "\\item 0.12610732502036\n", + "\\item 0.247738267376677\n", + "\\item 0.266798768172817\n", + "\\item 0.201417700353548\n", + "\\item 0.287172780307469\n", + "\\item 0.319360746832947\n", + "\\item 0.301254686167602\n", + "\\item 0.274800421739459\n", + "\\item 0.320198508499586\n", + "\\item 0.173058653309748\n", + "\\item 0.170887296628925\n", + "\\item 0.425455677838927\n", + "\\item 0.275224783494797\n", + "\\item 0.192589261788253\n", + "\\item 0.267858056098771\n", + "\\item 0.137328902055533\n", + "\\item 0.187889387591686\n", + "\\item 0.206048494698123\n", + "\\item 0.214437898284899\n", + "\\item 0.127440178257996\n", + "\\item 0.301871419072699\n", + "\\item 0.238093083089729\n", + "\\item 0.285528187921723\n", + "\\item 0.149585810427797\n", + "\\item 0.167566479056922\n", + "\\item 0.141165098994537\n", + "\\item 0.317808942266893\n", + "\\item 0.178734153688485\n", + "\\item 0.130148768950456\n", + "\\item 0.224051703096048\n", + "\\item 0.211033508770552\n", + "\\item 0.239539380387005\n", + "\\item 0.375928029337563\n", + "\\item 0.300747394465731\n", + "\\item 0.217781503919284\n", + "\\item 0.21614606921739\n", + "\\item 0.310835742282465\n", + "\\item 0.297677429412211\n", + "\\item 0.214960381246613\n", + "\\item 0.232923959348519\n", + "\\item 0.266563844839131\n", + "\\item 0.159830833564184\n", + "\\item 0.142979755397434\n", + "\\item 0.161143578731825\n", + "\\item 0.245329314275013\n", + "\\item 0.171830663780134\n", + "\\item 0.273911132158635\n", + "\\item 0.260288710314567\n", + "\\item 0.295105074244106\n", + "\\item 0.246591943307576\n", + "\\item 0.24969096356448\n", + "\\item 0.198585183535592\n", + "\\item 0.165185621405904\n", + "\\item 0.289984751915265\n", + "\\item 0.226155344233984\n", + "\\item 0.136093566097135\n", + "\\item 0.228551561382682\n", + "\\item 0.160177182170787\n", + "\\item 0.259189154569008\n", + "\\item 0.198019361480513\n", + "\\item 0.292627896326448\n", + "\\item 0.215190515165982\n", + "\\item 0.266858758462102\n", + "\\item 0.122172105275238\n", + "\\item 0.180628149439334\n", + "\\item 0.137593680065265\n", + "\\item 0.152184201066464\n", + "\\item 0.222143685567188\n", + "\\item 0.10331272167135\n", + "\\item 0.258969152589974\n", + "\\item 0.29612897067057\n", + "\\item 0.290910194959675\n", + "\\item 0.218664921677066\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 0.312350144607955\n", + "\\item 0.11401671382804\n", + "\\item 0.362250827908355\n", + "\\item 0.303336390623972\n", + "\\item 0.416352359099262\n", + "\\item 0.11675008914667\n", + "\\item 0.227836423526207\n", + "\\item 0.191254582490063\n", + "\\item 0.275502229491833\n", + "\\item 0.251671037421768\n", + "\\item 0.289771800513535\n", + "\\item 0.389680127911346\n", + "\\item 0.175058723231676\n", + "\\item 0.322594696038974\n", + "\\item 0.188512259622608\n", + "\\item 0.313932125701932\n", + "\\item 0.29840760507226\n", + "\\item 0.184934469223943\n", + "\\item 0.194892611946171\n", + "\\item 0.261133429829563\n", + "\\item 0.249951423562553\n", + "\\item 0.349740782002982\n", + "\\item 0.223413188859849\n", + "\\item 0.207725995786691\n", + "\\item 0.351559684110635\n", + "\\item 0.220448191760218\n", + "\\item 0.144815005902594\n", + "\\item 0.277454855338674\n", + "\\item 0.362608733633622\n", + "\\item 0.344419766199497\n", + "\\item 0.176949467422285\n", + "\\item 0.213494423728241\n", + "\\item 0.241698002682545\n", + "\\item 0.214398512338343\n", + "\\item 0.30772267294321\n", + "\\item 0.248442220162783\n", + "\\item 0.103085756256019\n", + "\\item 0.256788700237568\n", + "\\item 0.247996050682045\n", + "\\item 0.314444559420492\n", + "\\item 0.287047939260618\n", + "\\item 0.190696146487025\n", + "\\item 0.202329742004876\n", + "\\item 0.234190772963176\n", + "\\item 0.293266802266102\n", + "\\item 0.190053365510483\n", + "\\item 0.273994354079151\n", + "\\item 0.218378066216422\n", + "\\item 0.257585191639699\n", + "\\item 0.216154804520669\n", + "\\item 0.200958597847981\n", + "\\item 0.207963516074643\n", + "\\item 0.237484499515721\n", + "\\item 0.246304484499296\n", + "\\item 0.185208371896785\n", + "\\item 0.344156969733868\n", + "\\item 0.151149656456351\n", + "\\item 0.227007546769517\n", + "\\item 0.232480357019713\n", + "\\item 0.214541965236901\n", + "\\item 0.115577690305482\n", + "\\item 0.159702744137292\n", + "\\item 0.151085004365002\n", + "\\item 0.297125926796205\n", + "\\item 0.134863364521525\n", + "\\item 0.309208925894073\n", + "\\item 0.401791143003335\n", + "\\item 0.198664770174448\n", + "\\item 0.185312098297374\n", + "\\item 0.177952054431429\n", + "\\item 0.243666959945885\n", + "\\item 0.211458178074575\n", + "\\item 0.218548981187041\n", + "\\item 0.164419469942016\n", + "\\item 0.151911570069225\n", + "\\item 0.38181326396043\n", + "\\item 0.262649805206775\n", + "\\item 0.131778382064659\n", + "\\item 0.234487783450685\n", + "\\item 0.24767924757294\n", + "\\item 0.163633607457516\n", + "\\item 0.205298168245525\n", + "\\item 0.30214915698966\n", + "\\item 0.279618307903565\n", + "\\item 0.240541986118449\n", + "\\item 0.305799849595178\n", + "\\item 0.176198610596292\n", + "\\item 0.224257491605346\n", + "\\item 0.235881752016567\n", + "\\item 0.252592954374857\n", + "\\item 0.363627895654458\n", + "\\item 0.309152048523177\n", + "\\item 0.269977660031396\n", + "\\item 0.257439226305316\n", + "\\item 0.247045598575325\n", + "\\item 0.136163368250937\n", + "\\item 0.226308123573236\n", + "\\item 0.22526060852187\n", + "\\item 0.285825452254434\n", + "\\item 0.272975247077041\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 0.303397174980562\n", + "\\item 0.352608545391113\n", + "\\item 0.165749085778865\n", + "\\item 0.23887533901246\n", + "\\item 0.20457817040614\n", + "\\item 0.248154714728934\n", + "\\item 0.178144279618553\n", + "\\item 0.16102122365893\n", + "\\item 0.25541316268146\n", + "\\item 0.340113063324359\n", + "\\item 0.301241190892511\n", + "\\item 0.406481265624065\n", + "\\item 0.194796831369948\n", + "\\item 0.232623538154481\n", + "\\item 0.279751983485329\n", + "\\item 0.173400956090224\n", + "\\item 0.141729100694058\n", + "\\item 0.23215430282213\n", + "\\item 0.39193123394101\n", + "\\item 0.204558268608332\n", + "\\item 0.191094795724497\n", + "\\item 0.340368692250776\n", + "\\item 0.303132258476256\n", + "\\item 0.327201774134919\n", + "\\item 0.184306751925056\n", + "\\item 0.241657630254978\n", + "\\item 0.150663123963874\n", + "\\item 0.189119537300771\n", + "\\item 0.269270677769787\n", + "\\item 0.2237359655355\n", + "\\item 0.200290229059702\n", + "\\item 0.37967825974411\n", + "\\item 0.160223427199428\n", + "\\item 0.294504302847643\n", + "\\item 0.405359927830703\n", + "\\item 0.216396049031313\n", + "\\item 0.263147227218396\n", + "\\item 0.344237932513789\n", + "\\item 0.341702923053515\n", + "\\item 0.289851921692096\n", + "\\item 0.265597773348945\n", + "\\item 0.383191412435587\n", + "\\item 0.195222881276116\n", + "\\item 0.223201245740866\n", + "\\item 0.207487568682935\n", + "\\item 0.450232462027545\n", + "\\item 0.233713260573481\n", + "\\item 0.263496792301767\n", + "\\item 0.267407228727018\n", + "\\item 0.293602541430862\n", + "\\item 0.257828338931825\n", + "\\item 0.277381663793666\n", + "\\item 0.223270694884206\n", + "\\item 0.243771378755378\n", + "\\item 0.353954708952126\n", + "\\item 0.3223558165271\n", + "\\item 0.190871372219903\n", + "\\item 0.0867562144776758\n", + "\\item 0.307869457180794\n", + "\\item 0.282826225170929\n", + "\\item 0.155105389262134\n", + "\\item 0.228126568324404\n", + "\\item 0.285244188204439\n", + "\\item 0.155027317826397\n", + "\\item 0.305255027247479\n", + "\\item 0.28759480788031\n", + "\\item 0.291987872932039\n", + "\\item 0.257184147153886\n", + "\\item 0.244627138026384\n", + "\\item 0.213233641852472\n", + "\\item 0.233642037453664\n", + "\\item 0.371540594289551\n", + "\\item 0.33036857007714\n", + "\\item 0.199352317588759\n", + "\\item 0.296900491506276\n", + "\\item 0.290101635822282\n", + "\\item 0.138745029722557\n", + "\\item 0.201436368724344\n", + "\\item 0.306237365458565\n", + "\\item 0.211957492061514\n", + "\\item 0.300139147648647\n", + "\\item 0.219258691693915\n", + "\\item 0.302828597017229\n", + "\\item 0.248601657751776\n", + "\\item 0.235026614600039\n", + "\\item 0.271511507490489\n", + "\\item 0.265659461737447\n", + "\\item 0.163962579798209\n", + "\\item 0.228248860243875\n", + "\\item 0.39206182488458\n", + "\\item 0.331893808396491\n", + "\\item 0.292750781798435\n", + "\\item 0.130285122418994\n", + "\\item 0.244783572345509\n", + "\\item 0.222972032330244\n", + "\\item 0.265868589185386\n", + "\\item 0.113421603375897\n", + "\\item 0.216487376323119\n", + "\\item 0.285389202595067\n", + "\\item 0.199173305688539\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 0.301762612285174\n", + "\\item 0.339567428427841\n", + "\\item 0.296141886969838\n", + "\\item 0.328290301796681\n", + "\\item 0.317457068217942\n", + "\\item 0.342603748863672\n", + "\\item 0.255130434104852\n", + "\\item 0.236177818379253\n", + "\\item 0.249724595442259\n", + "\\item 0.210418075907405\n", + "\\item 0.367382634682528\n", + "\\item 0.201099268667593\n", + "\\item 0.181275268939166\n", + "\\item 0.190031696327926\n", + "\\item 0.226515614411344\n", + "\\item 0.318014408304338\n", + "\\item 0.267014469269394\n", + "\\item 0.248627295241077\n", + "\\item 0.196369791559728\n", + "\\item 0.21256870587734\n", + "\\item 0.173437446070342\n", + "\\item 0.248931743161822\n", + "\\item 0.306931270779925\n", + "\\item 0.135362513660587\n", + "\\item 0.141370815496725\n", + "\\item 0.252184596367965\n", + "\\item 0.243255825939532\n", + "\\item 0.278015748623961\n", + "\\item 0.200544166550277\n", + "\\item 0.287978789886455\n", + "\\item 0.259889537690159\n", + "\\item 0.152535472797332\n", + "\\item 0.355620838899383\n", + "\\item 0.296852208987299\n", + "\\item 0.224957569839703\n", + "\\item 0.280046842520687\n", + "\\item 0.305348309104112\n", + "\\item 0.214693916903551\n", + "\\item 0.183216171845459\n", + "\\item 0.292239285534027\n", + "\\item 0.279083699362992\n", + "\\item 0.276364743607108\n", + "\\item 0.213635876220388\n", + "\\item 0.232102979285306\n", + "\\item 0.286087984278396\n", + "\\item 0.224932425758918\n", + "\\item 0.314720536283941\n", + "\\item 0.270620276484379\n", + "\\item 0.228392476227033\n", + "\\item 0.194881328416091\n", + "\\item 0.359054076406798\n", + "\\item 0.270203896039805\n", + "\\item 0.319324527746996\n", + "\\item 0.126509898440075\n", + "\\item 0.110211668410186\n", + "\\item 0.276908115581529\n", + "\\item 0.095395446272241\n", + "\\item 0.38184768277733\n", + "\\item 0.274162622649821\n", + "\\item 0.284867736497276\n", + "\\item 0.251915473546307\n", + "\\item 0.283759202909109\n", + "\\item 0.218613979046605\n", + "\\item 0.27225450115068\n", + "\\item 0.225962555213104\n", + "\\item 0.204207060340722\n", + "\\item 0.282812126581035\n", + "\\item 0.231978655153068\n", + "\\item 0.269462336598836\n", + "\\item 0.230873851345981\n", + "\\item 0.135284085439539\n", + "\\item 0.202291937474306\n", + "\\item 0.1730077346955\n", + "\\item 0.235908140719069\n", + "\\item 0.21804948924666\n", + "\\item 0.223744100487858\n", + "\\item 0.197620584973352\n", + "\\item 0.248204341475164\n", + "\\item 0.191936592869306\n", + "\\item 0.193151477393113\n", + "\\item 0.145174748556449\n", + "\\item 0.225824706203242\n", + "\\item 0.360188779829661\n", + "\\item 0.173992307744029\n", + "\\item 0.260281512706753\n", + "\\item 0.242209801253213\n", + "\\item 0.34264586081568\n", + "\\item 0.145551265526521\n", + "\\item 0.291134917625517\n", + "\\item 0.229250892814618\n", + "\\item 0.245570079154083\n", + "\\item 0.194074003902078\n", + "\\item 0.185937029838602\n", + "\\item 0.140638288354773\n", + "\\item 0.157027317187418\n", + "\\item 0.309403930691333\n", + "\\item 0.179036759078151\n", + "\\item 0.28842246562051\n", + "\\item 0.252496280596459\n", + "\\item 0.297830966719141\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 0.260513121268436\n", + "\\item 0.221864139229825\n", + "\\item 0.299906074096097\n", + "\\item 0.236628153011208\n", + "\\item 0.136251853590297\n", + "\\item 0.272609117784145\n", + "\\item 0.273434909998605\n", + "\\item 0.244763487386598\n", + "\\item 0.324713107574028\n", + "\\item 0.293278858503786\n", + "\\item 0.232349627504162\n", + "\\item 0.390655214695378\n", + "\\item 0.270264318382779\n", + "\\item 0.338137957554642\n", + "\\item 0.298324687142999\n", + "\\item 0.312219130390689\n", + "\\item 0.299595458672383\n", + "\\item 0.254785383553423\n", + "\\item 0.125969947894654\n", + "\\item 0.338203077182999\n", + "\\item 0.282220566953011\n", + "\\item 0.268471645829982\n", + "\\item 0.19957012534547\n", + "\\item 0.196989946632408\n", + "\\item 0.366497671463118\n", + "\\item 0.165717735018548\n", + "\\item 0.299029852283404\n", + "\\item 0.213847267784552\n", + "\\item 0.239872627068654\n", + "\\item 0.248928835349806\n", + "\\item 0.316159133108127\n", + "\\item 0.247782306821514\n", + "\\item 0.229664079474613\n", + "\\item 0.140623832920828\n", + "\\item 0.244035294886799\n", + "\\item 0.291991263699435\n", + "\\item 0.170429067896798\n", + "\\item 0.251479726540741\n", + "\\item 0.175799643091531\n", + "\\item 0.169145417542262\n", + "\\item 0.300256947655983\n", + "\\item 0.260946416659131\n", + "\\item 0.253278722334624\n", + "\\item 0.230854844697921\n", + "\\item 0.14925962853008\n", + "\\item 0.172756521001941\n", + "\\item 0.325224163623781\n", + "\\item 0.217899059658824\n", + "\\item 0.354793196037019\n", + "\\item 0.261560193647775\n", + "\\item 0.129275461772148\n", + "\\item 0.291283292626179\n", + "\\item 0.259862206977401\n", + "\\item 0.342711286477681\n", + "\\item 0.227759082455734\n", + "\\item 0.323242796713791\n", + "\\item 0.230045942344492\n", + "\\item 0.256941479714464\n", + "\\item 0.181667130641529\n", + "\\item 0.258464822095132\n", + "\\item 0.163758292296934\n", + "\\item 0.154339299842029\n", + "\\item 0.106082850706396\n", + "\\item 0.303454402619814\n", + "\\item 0.188542545290957\n", + "\\item 0.169042966117192\n", + "\\item 0.331725982079358\n", + "\\item 0.217458016464167\n", + "\\item 0.171245530671568\n", + "\\item 0.20209816578894\n", + "\\item 0.201876332514131\n", + "\\item 0.218482966989256\n", + "\\item 0.27419920973662\n", + "\\item 0.288334503516876\n", + "\\item 0.175544935730241\n", + "\\item 0.250121748505335\n", + "\\item 0.156058914533061\n", + "\\item 0.236062019232745\n", + "\\item 0.291824516055119\n", + "\\item 0.238831548807586\n", + "\\item 0.346075609480488\n", + "\\item 0.201296238552964\n", + "\\item 0.22965472259169\n", + "\\item 0.194955776951755\n", + "\\item 0.21807455685029\n", + "\\item 0.253162365826687\n", + "\\item 0.217596439572457\n", + "\\item 0.288138302046912\n", + "\\item 0.399929469626412\n", + "\\item 0.362907953153394\n", + "\\item 0.214666388626679\n", + "\\item 0.220304139028145\n", + "\\item 0.147562845390231\n", + "\\item 0.31731698727839\n", + "\\item 0.15014390395127\n", + "\\item 0.140810829464103\n", + "\\item 0.279512084309052\n", + "\\item 0.21552762928483\n", + "\\item 0.270436277745958\n", + "\\item 0.208364182416526\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 0.407212863670037\n", + "\\item 0.26259900714273\n", + "\\item 0.265339964157701\n", + "\\item 0.187407172946769\n", + "\\item 0.380888537587005\n", + "\\item 0.295635980855576\n", + "\\item 0.214120611861521\n", + "\\item 0.372542568130721\n", + "\\item 0.247085843541326\n", + "\\item 0.181397758021418\n", + "\\item 0.240589864153278\n", + "\\item 0.303477740838336\n", + "\\item 0.199012060525001\n", + "\\item 0.232555900638264\n", + "\\item 0.330184557656316\n", + "\\item 0.34696968505922\n", + "\\item 0.40494434818742\n", + "\\item 0.27710481280911\n", + "\\item 0.307914642913479\n", + "\\item 0.187631087902483\n", + "\\item 0.290746446322696\n", + "\\item 0.357803763710374\n", + "\\item 0.124589659366313\n", + "\\item 0.441287790888816\n", + "\\item 0.397691226661751\n", + "\\item 0.21898566707414\n", + "\\item 0.236816541546375\n", + "\\item 0.409143859592916\n", + "\\item 0.369653865009062\n", + "\\item 0.265309937429147\n", + "\\item 0.13089619205116\n", + "\\item 0.350806333818894\n", + "\\item 0.378290240075981\n", + "\\item 0.256360023413532\n", + "\\item 0.42294238302283\n", + "\\item 0.251396182842548\n", + "\\item 0.272855749178441\n", + "\\item 0.296873064533508\n", + "\\item 0.332857842785537\n", + "\\item 0.313486343991097\n", + "\\item 0.210641867755748\n", + "\\item 0.261233496216118\n", + "\\item 0.153401281231996\n", + "\\item 0.272937546213556\n", + "\\item 0.262962859444711\n", + "\\item 0.273187694170305\n", + "\\item 0.196280264547487\n", + "\\item 0.191139906119032\n", + "\\item 0.151849613228521\n", + "\\item 0.284471544850053\n", + "\\item 0.32674132654076\n", + "\\item 0.299974742631083\n", + "\\item 0.365517724013172\n", + "\\item 0.312364295017157\n", + "\\item 0.356206111389337\n", + "\\item 0.218678990671493\n", + "\\item 0.294749844900875\n", + "\\item 0.198796284878366\n", + "\\item 0.215716705776093\n", + "\\item 0.30138947210473\n", + "\\item 0.31566137622996\n", + "\\item 0.282306113819603\n", + "\\item 0.313389060791142\n", + "\\item 0.254356689360999\n", + "\\item 0.239573763792078\n", + "\\item 0.271171215283439\n", + "\\item 0.405063105874992\n", + "\\item 0.445503139260685\n", + "\\item 0.29137859534978\n", + "\\item 0.441281037122697\n", + "\\item 0.318681827144821\n", + "\\item 0.17047513875162\n", + "\\item 0.188802697031335\n", + "\\item 0.270007668715855\n", + "\\item 0.317688764630627\n", + "\\item 0.483343574800063\n", + "\\item 0.229791186960528\n", + "\\item 0.319562141764945\n", + "\\item 0.3539828513105\n", + "\\item 0.326649139018672\n", + "\\item 0.370245075370292\n", + "\\item 0.378104403051472\n", + "\\item 0.270881621206153\n", + "\\item 0.189425210245894\n", + "\\item 0.27783004430241\n", + "\\item 0.316878372058281\n", + "\\item 0.244034286240587\n", + "\\item 0.287322279676312\n", + "\\item 0.244947818826811\n", + "\\item 0.275071775742095\n", + "\\item 0.262032121061035\n", + "\\item 0.333486998097271\n", + "\\item 0.28395298440981\n", + "\\item 0.296322780372591\n", + "\\item 0.251800732890168\n", + "\\item 0.240314343520339\n", + "\\item 0.390890364125502\n", + "\\item 0.329401614647853\n", + "\\item 0.312266832495343\n", + "\\item 0.303252438090021\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 0.261752969563751\n", + "\\item 0.194432546160047\n", + "\\item 0.390682483253288\n", + "\\item 0.306261877998027\n", + "\\item 0.329011674827553\n", + "\\item 0.288131383869347\n", + "\\item 0.279432103288359\n", + "\\item 0.234277648662775\n", + "\\item 0.194996573142638\n", + "\\item 0.399339727269028\n", + "\\item 0.217363215098335\n", + "\\item 0.238293733960676\n", + "\\item 0.276877720885042\n", + "\\item 0.41322162963016\n", + "\\item 0.248405254910225\n", + "\\item 0.210167736046665\n", + "\\item 0.443526153051012\n", + "\\item 0.298211324928173\n", + "\\item 0.31414635343961\n", + "\\item 0.38668855786192\n", + "\\item 0.123739047510941\n", + "\\item 0.274716503676127\n", + "\\item 0.271579055043973\n", + "\\item 0.297912757740996\n", + "\\item 0.257623943666812\n", + "\\item 0.230585874738817\n", + "\\item 0.342284702417808\n", + "\\item 0.252419644116393\n", + "\\item 0.374409961860856\n", + "\\item 0.357087965943939\n", + "\\item 0.259101108525173\n", + "\\item 0.413048100949767\n", + "\\item 0.380050907874524\n", + "\\item 0.25261278793338\n", + "\\item 0.323422612502635\n", + "\\item 0.319212187107568\n", + "\\item 0.340542364857126\n", + "\\item 0.152796025379999\n", + "\\item 0.194498371165383\n", + "\\item 0.181093159980614\n", + "\\item 0.303886883569759\n", + "\\item 0.244997524490712\n", + "\\item 0.0867429794156803\n", + "\\item 0.370288288744212\n", + "\\item 0.409975993578132\n", + "\\item 0.231572852498216\n", + "\\item 0.200159064968827\n", + "\\item 0.29639019603394\n", + "\\item 0.428815393236808\n", + "\\item 0.279350336299446\n", + "\\item 0.277077346211509\n", + "\\item 0.273851712890361\n", + "\\item 0.188742062535461\n", + "\\item 0.242629584561762\n", + "\\item 0.300630846326878\n", + "\\item 0.289453373321778\n", + "\\item 0.277648585951892\n", + "\\item 0.284247329785747\n", + "\\item 0.139699369258669\n", + "\\item 0.32661182988513\n", + "\\item 0.148987299498159\n", + "\\item 0.187743722812253\n", + "\\item 0.161076422765017\n", + "\\item 0.293230704834648\n", + "\\item 0.233405235408643\n", + "\\item 0.233177609888357\n", + "\\item 0.349773599157271\n", + "\\item 0.257781472881908\n", + "\\item 0.358507567029703\n", + "\\item 0.419807031379697\n", + "\\item 0.364466987488002\n", + "\\item 0.247504882667479\n", + "\\item 0.447127897448278\n", + "\\item 0.288909310617727\n", + "\\item 0.307722888120693\n", + "\\item 0.207522524178399\n", + "\\item 0.330909619355397\n", + "\\item 0.239954874956611\n", + "\\item 0.207713192561721\n", + "\\item 0.344098733619988\n", + "\\item 0.260745204003168\n", + "\\item 0.40234756441158\n", + "\\item 0.328000053475563\n", + "\\item 0.318000744168585\n", + "\\item 0.219511586516522\n", + "\\item 0.259839814956542\n", + "\\item 0.293641290510434\n", + "\\item 0.278866271568972\n", + "\\item 0.328899665502094\n", + "\\item 0.342918641511441\n", + "\\item 0.297288961750045\n", + "\\item 0.212026621271744\n", + "\\item 0.221945171751561\n", + "\\item 0.219390991307405\n", + "\\item 0.212981349943246\n", + "\\item 0.119446547991536\n", + "\\item 0.284430700571163\n", + "\\item 0.388414414085216\n", + "\\item 0.44007108693793\n", + "\\item 0.298675286244111\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 0.24593631350433\n", + "\\item 0.250064525060761\n", + "\\item 0.127587818757328\n", + "\\item 0.109400069595138\n", + "\\item 0.125927075793169\n", + "\\item 0.358703110913644\n", + "\\item 0.351643665762047\n", + "\\item 0.323887629047459\n", + "\\item 0.258359967323282\n", + "\\item 0.177592884729505\n", + "\\item 0.291219337666058\n", + "\\item 0.21143366663039\n", + "\\item 0.180099788034038\n", + "\\item 0.299005266684182\n", + "\\item 0.199610158422599\n", + "\\item 0.287746604197203\n", + "\\item 0.270043761287939\n", + "\\item 0.265317789120958\n", + "\\item 0.167026170373747\n", + "\\item 0.182294769927986\n", + "\\item 0.111062945683693\n", + "\\item 0.237035275572633\n", + "\\item 0.383263302653812\n", + "\\item 0.160969731238787\n", + "\\item 0.217769844157399\n", + "\\item 0.261634457112054\n", + "\\item 0.288091565519793\n", + "\\item 0.407453206519856\n", + "\\item 0.390486587088106\n", + "\\item 0.249164117708198\n", + "\\item 0.126028204095691\n", + "\\item 0.363160246884484\n", + "\\item 0.218059456966916\n", + "\\item 0.274054170312664\n", + "\\item 0.247521856428345\n", + "\\item 0.208707172074137\n", + "\\item 0.120740817435924\n", + "\\item 0.12951915490214\n", + "\\item 0.428351516750484\n", + "\\item 0.442427305759305\n", + "\\item 0.201856651605498\n", + "\\item 0.241039979547204\n", + "\\item 0.300917060417994\n", + "\\item 0.295578054789709\n", + "\\item 0.203664277460196\n", + "\\item 0.218956108715855\n", + "\\item 0.217904882064193\n", + "\\item 0.161175001820744\n", + "\\item 0.140632708583523\n", + "\\item 0.126340354068232\n", + "\\item 0.0919533192774643\n", + "\\item 0.285722772893437\n", + "\\item 0.215465765474266\n", + "\\item 0.162210940374733\n", + "\\item 0.316860203957516\n", + "\\item 0.228318909264676\n", + "\\item 0.314389220296189\n", + "\\item 0.170773473529748\n", + "\\item 0.382016870073895\n", + "\\item 0.23987585631704\n", + "\\item 0.224617423782704\n", + "\\item 0.229898493576483\n", + "\\item 0.265528958411321\n", + "\\item 0.232727738869364\n", + "\\item 0.21945716043768\n", + "\\item 0.308809920425623\n", + "\\item 0.299719596106605\n", + "\\item 0.243414372557809\n", + "\\item 0.294947315760536\n", + "\\item 0.262257310508629\n", + "\\item 0.36429192362252\n", + "\\item 0.317655076555813\n", + "\\item 0.180764516731285\n", + "\\item 0.20848416750714\n", + "\\item 0.285995347834827\n", + "\\item 0.131528802915861\n", + "\\item 0.262289355677309\n", + "\\item 0.0802269194786452\n", + "\\item 0.299261167524428\n", + "\\item 0.279554044870114\n", + "\\item 0.371059207696729\n", + "\\item 0.309388842003962\n", + "\\item 0.166286477676485\n", + "\\item 0.0932495278414668\n", + "\\item 0.248248975684935\n", + "\\item 0.142547132290101\n", + "\\item 0.205156807954786\n", + "\\item 0.179586155380309\n", + "\\item 0.0773012488402846\n", + "\\item 0.28733711358062\n", + "\\item 0.269789058436216\n", + "\\item 0.246666734402295\n", + "\\item 0.285266124914916\n", + "\\item 0.184558812374726\n", + "\\item 0.0964642755718894\n", + "\\item 0.232093925191389\n", + "\\item 0.174895011251429\n", + "\\item 0.215462315452679\n", + "\\item 0.117104716292135\n", + "\\item 0.304772177445191\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 0.287988624588734\n", + "\\item 0.182110484447088\n", + "\\item 0.186012362501729\n", + "\\item 0.329383173709694\n", + "\\item 0.242979536262481\n", + "\\item 0.327945694684661\n", + "\\item 0.15650403465427\n", + "\\item 0.119468899379301\n", + "\\item 0.16706781148963\n", + "\\item 0.219506471156298\n", + "\\item 0.393839068858898\n", + "\\item 0.155362751820171\n", + "\\item 0.34823940798647\n", + "\\item 0.20845100251454\n", + "\\item 0.177770947499287\n", + "\\item 0.261746224565941\n", + "\\item 0.25447732310411\n", + "\\item 0.222568711137486\n", + "\\item 0.145153414102918\n", + "\\item 0.178395787660543\n", + "\\item 0.10912001623646\n", + "\\item 0.233332273716689\n", + "\\item 0.168966171025848\n", + "\\item 0.323495866996437\n", + "\\item 0.216144327507615\n", + "\\item 0.108284177593548\n", + "\\item 0.163762376758982\n", + "\\item 0.198192879714397\n", + "\\item 0.228246540437503\n", + "\\item 0.238227843702429\n", + "\\item 0.202015686186484\n", + "\\item 0.200881746016562\n", + "\\item 0.208117379469076\n", + "\\item 0.324088352732621\n", + "\\item 0.270857203955387\n", + "\\item 0.289143216747189\n", + "\\item 0.222475904091219\n", + "\\item 0.138258080562906\n", + "\\item 0.25550120679697\n", + "\\item 0.205458912388679\n", + "\\item 0.266830546361983\n", + "\\item 0.25852621856737\n", + "\\item 0.198769917485812\n", + "\\item 0.224369087022089\n", + "\\item 0.189203424222056\n", + "\\item 0.177758986857215\n", + "\\item 0.22894043600595\n", + "\\item 0.187762375699227\n", + "\\item 0.171535969812341\n", + "\\item 0.290909470775979\n", + "\\item 0.124634404277587\n", + "\\item 0.146463241125253\n", + "\\item 0.177689321136332\n", + "\\item 0.209831646354007\n", + "\\item 0.315852025896402\n", + "\\item 0.349759495334504\n", + "\\item 0.283930386332841\n", + "\\item 0.223250082798429\n", + "\\item 0.303325489947297\n", + "\\item 0.185163501610894\n", + "\\item 0.167706489132746\n", + "\\item 0.133634811609285\n", + "\\item 0.395736250084447\n", + "\\item 0.266857669852584\n", + "\\item 0.190836482743813\n", + "\\item 0.301923022316609\n", + "\\item 0.285834530928797\n", + "\\item 0.158524637721881\n", + "\\item 0.188886150852128\n", + "\\item 0.20813415311888\n", + "\\item 0.0897850636528581\n", + "\\item 0.134946678236567\n", + "\\item 0.184954470185265\n", + "\\item 0.375015521974414\n", + "\\item 0.31499338491448\n", + "\\item 0.180961364879445\n", + "\\item 0.248068862349169\n", + "\\item 0.205966560626727\n", + "\\item 0.334354573656603\n", + "\\item 0.338590289618353\n", + "\\item 0.316685359956728\n", + "\\item 0.153283719661428\n", + "\\item 0.159068237908445\n", + "\\item 0.173749776992487\n", + "\\item 0.33303138028297\n", + "\\item 0.268809616044743\n", + "\\item 0.347164484158048\n", + "\\item 0.0945370587451841\n", + "\\item 0.166044077624373\n", + "\\item 0.142174941585274\n", + "\\item 0.256258496434062\n", + "\\item 0.342506091194186\n", + "\\item 0.164364237711952\n", + "\\item 0.19840146493648\n", + "\\item 0.183844751421235\n", + "\\item 0.176349485339186\n", + "\\item 0.226554752972503\n", + "\\item 0.183411162986521\n", + "\\item 0.316082574909651\n", + "\\item 0.227330194436653\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 0.246139455669671\n", + "\\item 0.317349989443328\n", + "\\item 0.308443748163292\n", + "\\item 0.233964041012697\n", + "\\item 0.294655941338073\n", + "\\item 0.165955292573195\n", + "\\item 0.314750654112917\n", + "\\item 0.174862984693589\n", + "\\item 0.164492402349141\n", + "\\item 0.125154894625924\n", + "\\item 0.113612330842309\n", + "\\item 0.252177263819762\n", + "\\item 0.0902175888665295\n", + "\\item 0.201748303827671\n", + "\\item 0.295058881505006\n", + "\\item 0.278982172016486\n", + "\\item 0.36453471544105\n", + "\\item 0.156528733888306\n", + "\\item 0.194741780589889\n", + "\\item 0.348987632837185\n", + "\\item 0.193736866666545\n", + "\\item 0.26921484094665\n", + "\\item 0.44908270816122\n", + "\\item 0.22517079510348\n", + "\\item 0.183781677408359\n", + "\\item 0.373902566356893\n", + "\\item 0.341900353617433\n", + "\\item 0.189754540593609\n", + "\\item 0.436752770236124\n", + "\\item 0.146875327797104\n", + "\\item 0.351657489739037\n", + "\\item 0.183782746875234\n", + "\\item 0.36413729694299\n", + "\\item 0.251075244737473\n", + "\\item 0.308108210056103\n", + "\\item 0.170945567727556\n", + "\\item 0.293799387615826\n", + "\\item 0.221611434765456\n", + "\\item 0.434696825321072\n", + "\\item 0.172634958424491\n", + "\\item 0.178294210647384\n", + "\\item 0.172705772092658\n", + "\\item 0.249477710218769\n", + "\\item 0.108734710445387\n", + "\\item 0.204050806450659\n", + "\\item 0.352509411048064\n", + "\\item 0.410010672340755\n", + "\\item 0.234209219883811\n", + "\\item 0.1685255248877\n", + "\\item 0.278647473760469\n", + "\\item 0.222748857862203\n", + "\\item 0.325626596869121\n", + "\\item 0.175457102187507\n", + "\\item 0.25657948832113\n", + "\\item 0.2618449475466\n", + "\\item 0.166893838469619\n", + "\\item 0.268779799108414\n", + "\\item 0.173774215386422\n", + "\\item 0.158828424492142\n", + "\\item 0.182862224769521\n", + "\\item 0.122865401786831\n", + "\\item 0.162664562189831\n", + "\\item 0.225135391898507\n", + "\\item 0.395696539315223\n", + "\\item 0.189816381708917\n", + "\\item 0.36792039632632\n", + "\\item 0.385331418450224\n", + "\\item 0.270812812524401\n", + "\\item 0.289783443051804\n", + "\\item 0.259808452801012\n", + "\\item 0.229773153596707\n", + "\\item 0.274855542507267\n", + "\\item 0.111693820603452\n", + "\\item 0.194491292871649\n", + "\\item 0.163950118319139\n", + "\\item 0.267489736026724\n", + "\\item 0.269197547256914\n", + "\\item 0.371964624006019\n", + "\\item 0.185784591278827\n", + "\\item 0.208068205146784\n", + "\\item 0.16959207515989\n", + "\\item 0.376816291549706\n", + "\\item 0.292734103827913\n", + "\\item 0.178009774108406\n", + "\\item 0.178512197278478\n", + "\\item 0.236281997550545\n", + "\\item 0.19315642904214\n", + "\\item 0.310104022353557\n", + "\\item 0.238441928290156\n", + "\\item 0.348043729126349\n", + "\\item 0.227951322947844\n", + "\\item 0.20570879996797\n", + "\\item 0.064643342273894\n", + "\\item 0.258118222121776\n", + "\\item 0.119990192195826\n", + "\\item 0.184895399002661\n", + "\\item 0.196343864705496\n", + "\\item 0.199239032694413\n", + "\\item 0.318728658944084\n", + "\\item 0.204877523446974\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 0.247982950136022\n", + "\\item 0.287435471518596\n", + "\\item 0.371347419165813\n", + "\\item 0.252568039794498\n", + "\\item 0.245047677836292\n", + "\\item 0.113511481114985\n", + "\\item 0.156841333221396\n", + "\\item 0.332329779507319\n", + "\\item 0.0646592939480963\n", + "\\item 0.287821314286557\n", + "\\item 0.324597334755564\n", + "\\item 0.241525184620302\n", + "\\item 0.266555688251132\n", + "\\item 0.314938177288254\n", + "\\item 0.235305856439464\n", + "\\item 0.1501851397061\n", + "\\item 0.221351200983121\n", + "\\item 0.227821920779064\n", + "\\item 0.185217117258164\n", + "\\item 0.0849998516644316\n", + "\\item 0.246274340713724\n", + "\\item 0.181984172146513\n", + "\\item 0.149029891614856\n", + "\\item 0.326251265156262\n", + "\\item 0.259494446941853\n", + "\\item 0.287778082821253\n", + "\\item 0.383044658579449\n", + "\\item 0.280886971130444\n", + "\\item 0.183037608153589\n", + "\\item 0.186929373343791\n", + "\\item 0.322725621981846\n", + "\\item 0.240711768862482\n", + "\\item 0.201110147805405\n", + "\\item 0.318852890314346\n", + "\\item 0.311092455580314\n", + "\\item 0.274870028918096\n", + "\\item 0.197045354426484\n", + "\\item 0.160459656389427\n", + "\\item 0.328460584466288\n", + "\\item 0.292701604791949\n", + "\\item 0.248781362186486\n", + "\\item 0.177998052376884\n", + "\\item 0.348290115789825\n", + "\\item 0.211969756201552\n", + "\\item 0.256259119691242\n", + "\\item 0.168568062557884\n", + "\\item 0.194152849149563\n", + "\\item 0.277618895805508\n", + "\\item 0.263488679144207\n", + "\\item 0.285808836232257\n", + "\\item 0.306218682382178\n", + "\\item 0.289773139668619\n", + "\\item 0.337271425957801\n", + "\\item 0.330115966370604\n", + "\\item 0.302861477545083\n", + "\\item 0.256138794185804\n", + "\\item 0.372309326027851\n", + "\\item 0.238435615553146\n", + "\\item 0.31487304675569\n", + "\\item 0.211374987067008\n", + "\\item 0.315076581038092\n", + "\\item 0.287400507704396\n", + "\\item 0.269065469817915\n", + "\\item 0.289849608509531\n", + "\\item 0.131632416577249\n", + "\\item 0.172284704666863\n", + "\\item 0.238595463418972\n", + "\\item 0.24689110714364\n", + "\\item 0.171375803654396\n", + "\\item 0.106012703064025\n", + "\\item 0.35059513270989\n", + "\\item 0.350586493234616\n", + "\\item 0.306509826456737\n", + "\\item 0.228577493604696\n", + "\\item 0.182575843309583\n", + "\\item 0.318246666861427\n", + "\\item 0.192657152007794\n", + "\\item 0.367112070547261\n", + "\\item 0.354515310196493\n", + "\\item 0.129486525648005\n", + "\\item 0.257197689888894\n", + "\\item 0.285583248342363\n", + "\\item 0.23494478970356\n", + "\\item 0.249457129609523\n", + "\\item 0.116995826491066\n", + "\\item 0.131739742024037\n", + "\\item 0.200720283340661\n", + "\\item 0.274459620452758\n", + "\\item 0.261548775171185\n", + "\\item 0.36058745440959\n", + "\\item 0.266947915957835\n", + "\\item 0.303610484310734\n", + "\\item 0.215482189579385\n", + "\\item 0.2698082047662\n", + "\\item 0.37142419019318\n", + "\\item 0.235605889029869\n", + "\\item 0.274516171851071\n", + "\\item 0.103097216287457\n", + "\\item 0.377717174813333\n", + "\\item 0.1294953539538\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 0.318495473283463\n", + "\\item 0.254729414152323\n", + "\\item 0.348379557781787\n", + "\\item 0.321672521777053\n", + "\\item 0.287628824445088\n", + "\\item 0.321875392703414\n", + "\\item 0.319355942456671\n", + "\\item 0.214902214860957\n", + "\\item 0.197728944995993\n", + "\\item 0.176921889525785\n", + "\\item 0.29579293280468\n", + "\\item 0.257290018058692\n", + "\\item 0.156762951957685\n", + "\\item 0.236510936767152\n", + "\\item 0.279477886519\n", + "\\item 0.425654711306051\n", + "\\item 0.257883452419009\n", + "\\item 0.393789000324561\n", + "\\item 0.19252127987782\n", + "\\item 0.330377464613084\n", + "\\item 0.227636768387111\n", + "\\item 0.151256899873631\n", + "\\item 0.283153404605397\n", + "\\item 0.199212666358577\n", + "\\item 0.335666150288514\n", + "\\item 0.221425392710605\n", + "\\item 0.262251189198895\n", + "\\item 0.236442897706712\n", + "\\item 0.197801632859849\n", + "\\item 0.260377189745554\n", + "\\item 0.159674119732786\n", + "\\item 0.313462875433865\n", + "\\item 0.221609038307514\n", + "\\item 0.235853373677715\n", + "\\item 0.273796926194785\n", + "\\item 0.223712059800873\n", + "\\item 0.196613608324518\n", + "\\item 0.207618854713661\n", + "\\item 0.204586100316654\n", + "\\item 0.231170192686152\n", + "\\item 0.321281172622842\n", + "\\item 0.321902809263303\n", + "\\item 0.325346156437222\n", + "\\item 0.179129388253775\n", + "\\item 0.354149790991642\n", + "\\item 0.247955366347698\n", + "\\item 0.323713100286476\n", + "\\item 0.402675424191524\n", + "\\item 0.125623973640505\n", + "\\item 0.32710975180066\n", + "\\item 0.29496649233237\n", + "\\item 0.195646341092398\n", + "\\item 0.241748949930607\n", + "\\item 0.349739817511116\n", + "\\item 0.232634704486558\n", + "\\item 0.390781300841244\n", + "\\item 0.296364413775562\n", + "\\item 0.295884931102676\n", + "\\item 0.217526673522348\n", + "\\item 0.239665645133726\n", + "\\item 0.289236039482095\n", + "\\item 0.346862102210175\n", + "\\item 0.355376533658741\n", + "\\item 0.218160846435716\n", + "\\item 0.162581541322819\n", + "\\item 0.259796343280982\n", + "\\item 0.318542126125841\n", + "\\item 0.255081865330679\n", + "\\item 0.398850987434892\n", + "\\item 0.121665591820209\n", + "\\item 0.257509306468092\n", + "\\item 0.336031876806368\n", + "\\item 0.324942669154003\n", + "\\item 0.190218264601737\n", + "\\item 0.138082715461182\n", + "\\item 0.357008545896595\n", + "\\item 0.228941552222093\n", + "\\item 0.290773710977795\n", + "\\item 0.225660417325312\n", + "\\item 0.233073378459731\n", + "\\item 0.402321563003857\n", + "\\item 0.254999648229152\n", + "\\item 0.325507268878562\n", + "\\item 0.323937480230863\n", + "\\item 0.257500554713098\n", + "\\item 0.249021857185919\n", + "\\item 0.297465114825921\n", + "\\item 0.218954664802812\n", + "\\item 0.312342865704377\n", + "\\item 0.221630361441222\n", + "\\item 0.141787930079567\n", + "\\item 0.202962644168319\n", + "\\item 0.236328267721281\n", + "\\item 0.201259044035332\n", + "\\item 0.4335900779585\n", + "\\item 0.226692905687047\n", + "\\item 0.197828705526731\n", + "\\item 0.131413773213343\n", + "\\item 0.217844229701483\n", + "\\item 0.374822553375191\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 0.329616116623773\n", + "\\item 0.117068783065181\n", + "\\item 0.203075127338521\n", + "\\item 0.25600807401635\n", + "\\item 0.0806715161334806\n", + "\\item 0.199228911250074\n", + "\\item 0.144759187310041\n", + "\\item 0.209510884546244\n", + "\\item 0.330709069080826\n", + "\\item 0.112630573976094\n", + "\\item 0.155233118062323\n", + "\\item 0.259513683855288\n", + "\\item 0.270180692301478\n", + "\\item 0.244029867478368\n", + "\\item 0.130576077197243\n", + "\\item 0.340000405638353\n", + "\\item 0.184033661933631\n", + "\\item 0.25580243310114\n", + "\\item 0.129907938152798\n", + "\\item 0.201358506025785\n", + "\\item 0.179711036630119\n", + "\\item 0.21790178851017\n", + "\\item 0.147443552313778\n", + "\\item 0.255442047223903\n", + "\\item 0.301846286740816\n", + "\\item 0.176056394656363\n", + "\\item 0.22186249619114\n", + "\\item 0.165541737216907\n", + "\\item 0.285621269801194\n", + "\\item 0.346140034694049\n", + "\\item 0.160547987188896\n", + "\\item 0.271475604196556\n", + "\\item 0.198987935008389\n", + "\\item 0.142101580103806\n", + "\\item 0.150502431418405\n", + "\\item 0.268442657655242\n", + "\\item 0.332573521373666\n", + "\\item 0.219321445036751\n", + "\\item 0.148605103611737\n", + "\\item 0.17281010839638\n", + "\\item 0.291022575710233\n", + "\\item 0.288445481860071\n", + "\\item 0.283489390958358\n", + "\\item 0.191030345860449\n", + "\\item 0.152695133113266\n", + "\\item 0.325124212480159\n", + "\\item 0.196008023530181\n", + "\\item 0.128895576210558\n", + "\\item 0.149524209348097\n", + "\\item 0.134417828240651\n", + "\\item 0.144210772486515\n", + "\\item 0.116626843698602\n", + "\\item 0.203834336972237\n", + "\\item 0.215942332193546\n", + "\\item 0.18963573671712\n", + "\\item 0.167374339795973\n", + "\\item 0.261123857394218\n", + "\\item 0.162210369073639\n", + "\\item 0.205912638748724\n", + "\\item 0.339446486550053\n", + "\\item 0.232366815155138\n", + "\\item 0.170754400314264\n", + "\\item 0.311001384699945\n", + "\\item 0.0984204760780504\n", + "\\item 0.198520806556127\n", + "\\item 0.186924344194118\n", + "\\item 0.268063378814893\n", + "\\item 0.215880045864693\n", + "\\item 0.25810916726115\n", + "\\item 0.173652237247292\n", + "\\item 0.148633743484098\n", + "\\item 0.275869428753282\n", + "\\item 0.421645593598521\n", + "\\item 0.251482774849486\n", + "\\item 0.291848848103494\n", + "\\item 0.244419927694577\n", + "\\item 0.221746894831363\n", + "\\item 0.14489344723202\n", + "\\item 0.226638582158732\n", + "\\item 0.184151773591225\n", + "\\item 0.31557672168542\n", + "\\item 0.202067870400985\n", + "\\item 0.198732569769454\n", + "\\item 0.298799677156785\n", + "\\item 0.175905549355787\n", + "\\item 0.312577357578055\n", + "\\item 0.443380015368338\n", + "\\item 0.225230195406636\n", + "\\item 0.220302661675154\n", + "\\item 0.154677248515167\n", + "\\item 0.215249529368091\n", + "\\item 0.10040467285518\n", + "\\item 0.11841346398273\n", + "\\item 0.287921719569429\n", + "\\item 0.113901515179341\n", + "\\item 0.29536946810482\n", + "\\item 0.121305251054668\n", + "\\item 0.286038656022657\n", + "\\item 0.110431509339551\n", + "\\item 0.303227642679658\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 0.361778111433324\n", + "\\item 0.340738701518062\n", + "\\item 0.365855933260739\n", + "\\item 0.379370400055094\n", + "\\item 0.237365326951922\n", + "\\item 0.303748513599664\n", + "\\item 0.315085995416067\n", + "\\item 0.327764628041847\n", + "\\item 0.247085138485316\n", + "\\item 0.455468335325521\n", + "\\item 0.361169183996806\n", + "\\item 0.311481367380179\n", + "\\item 0.438687596571522\n", + "\\item 0.322121958413769\n", + "\\item 0.16684328995618\n", + "\\item 0.413537931982411\n", + "\\item 0.251871728353327\n", + "\\item 0.30332040725707\n", + "\\item 0.391801183523056\n", + "\\item 0.411985896282192\n", + "\\item 0.399595823040025\n", + "\\item 0.337568981719465\n", + "\\item 0.309449888740872\n", + "\\item 0.203350161983884\n", + "\\item 0.292777827525075\n", + "\\item 0.337342372421575\n", + "\\item 0.404962590436759\n", + "\\item 0.408549362894325\n", + "\\item 0.411280551605334\n", + "\\item 0.332724181441355\n", + "\\item 0.321335071960193\n", + "\\item 0.264098521404938\n", + "\\item 0.23474912207049\n", + "\\item 0.263309773475011\n", + "\\item 0.214526813015151\n", + "\\item 0.310498377744985\n", + "\\item 0.368620981145155\n", + "\\item 0.41393417197754\n", + "\\item 0.270415121402735\n", + "\\item 0.340257678677617\n", + "\\item 0.22044766951144\n", + "\\item 0.336398864021669\n", + "\\item 0.220317487115425\n", + "\\item 0.339830496742693\n", + "\\item 0.143370049472706\n", + "\\item 0.287337825738165\n", + "\\item 0.205850452853355\n", + "\\item 0.307395574975489\n", + "\\item 0.374102613250771\n", + "\\item 0.281390547442456\n", + "\\item 0.17664770046287\n", + "\\item 0.299791663980921\n", + "\\item 0.461363600543787\n", + "\\item 0.212313408907747\n", + "\\item 0.363783398846348\n", + "\\item 0.326892600510894\n", + "\\item 0.116100243883801\n", + "\\item 0.323728323411924\n", + "\\item 0.311613596818773\n", + "\\item 0.232936440131676\n", + "\\item 0.302814311410355\n", + "\\item 0.349177808101153\n", + "\\item 0.307123072791019\n", + "\\item 0.246972532605101\n", + "\\item 0.285679924075504\n", + "\\item 0.315505226779279\n", + "\\item 0.394934321293107\n", + "\\item 0.327713096690975\n", + "\\item 0.186217645049991\n", + "\\item 0.172500412089176\n", + "\\item 0.374759599803223\n", + "\\item 0.40969327139124\n", + "\\item 0.327794219334655\n", + "\\item 0.279815595075246\n", + "\\item 0.276145426496518\n", + "\\item 0.225179403568607\n", + "\\item 0.506114622717113\n", + "\\item 0.306071665153056\n", + "\\item 0.330327441013235\n", + "\\item 0.248699781126548\n", + "\\item 0.331657131091756\n", + "\\item 0.252961229569427\n", + "\\item 0.404008289492013\n", + "\\item 0.219527761715466\n", + "\\item 0.359598638320558\n", + "\\item 0.369591898482636\n", + "\\item 0.474283386296703\n", + "\\item 0.4934103947514\n", + "\\item 0.324907375797342\n", + "\\item 0.269109789087176\n", + "\\item 0.291234706473088\n", + "\\item 0.362774219365435\n", + "\\item 0.504388725276164\n", + "\\item 0.268051231254605\n", + "\\item 0.290356332630468\n", + "\\item 0.314028837881718\n", + "\\item 0.320569502819976\n", + "\\item 0.269433029910834\n", + "\\item 0.328106729026481\n", + "\\item 0.245392158378857\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 0.227010816651471\n", + "\\item 0.225180542484229\n", + "\\item 0.241846539706175\n", + "\\item 0.359021636698072\n", + "\\item 0.137186109923929\n", + "\\item 0.265094585978597\n", + "\\item 0.302166561170848\n", + "\\item 0.25171649782527\n", + "\\item 0.159820018787196\n", + "\\item 0.258141424127794\n", + "\\item 0.216947709136502\n", + "\\item 0.133824322839075\n", + "\\item 0.33853547636683\n", + "\\item 0.246182575299544\n", + "\\item 0.255891022299077\n", + "\\item 0.0939718566081048\n", + "\\item 0.306305728829847\n", + "\\item 0.277018687203822\n", + "\\item 0.211124416239853\n", + "\\item 0.264791194870471\n", + "\\item 0.201626572169147\n", + "\\item 0.267228227307895\n", + "\\item 0.369181515708718\n", + "\\item 0.204397680496844\n", + "\\item 0.195059936018851\n", + "\\item 0.270643098462176\n", + "\\item 0.354837301767669\n", + "\\item 0.310234882474096\n", + "\\item 0.253399943107951\n", + "\\item 0.165530914135423\n", + "\\item 0.144913047941412\n", + "\\item 0.291544390149185\n", + "\\item 0.204011794478219\n", + "\\item 0.248710347042426\n", + "\\item 0.250071543310435\n", + "\\item 0.16285693397527\n", + "\\item 0.295656913604135\n", + "\\item 0.0461215204752213\n", + "\\item 0.106302906838321\n", + "\\item 0.0927762555522871\n", + "\\item 0.189420009987606\n", + "\\item 0.131610167064502\n", + "\\item 0.198119530302426\n", + "\\item 0.202141493719666\n", + "\\item 0.252525805763644\n", + "\\item 0.257917558078907\n", + "\\item 0.202670226263694\n", + "\\item 0.192382584954074\n", + "\\item 0.160010132428017\n", + "\\item 0.236809785430186\n", + "\\item 0.136016910889976\n", + "\\item 0.232505643951256\n", + "\\item 0.151166490119631\n", + "\\item 0.275419705518375\n", + "\\item 0.319878112979854\n", + "\\item 0.198633709795727\n", + "\\item 0.351319172140704\n", + "\\item 0.121549367986761\n", + "\\item 0.195113002117411\n", + "\\item 0.27363418681508\n", + "\\item 0.180572894192132\n", + "\\item 0.287914719651206\n", + "\\item 0.206804632497127\n", + "\\item 0.338537339268499\n", + "\\item 0.267496161407832\n", + "\\item 0.21151353405942\n", + "\\item 0.348117567024643\n", + "\\item 0.281898101414488\n", + "\\item 0.359604739884894\n", + "\\item 0.30447554038936\n", + "\\item 0.226530522479008\n", + "\\item 0.150997579291561\n", + "\\item 0.248558758790965\n", + "\\item 0.195860252532986\n", + "\\item 0.334948272572877\n", + "\\item 0.280393951323874\n", + "\\item 0.208521990094845\n", + "\\item 0.222035615514236\n", + "\\item 0.298377768615282\n", + "\\item 0.281271111882239\n", + "\\item 0.125186085878393\n", + "\\item 0.221555145937755\n", + "\\item 0.108051671123638\n", + "\\item 0.157537926789548\n", + "\\item 0.233602946509492\n", + "\\item 0.115147836135133\n", + "\\item 0.224008873475403\n", + "\\item 0.18595854968678\n", + "\\item 0.400434064011071\n", + "\\item 0.214903635664937\n", + "\\item 0.291186397572837\n", + "\\item 0.226632555488428\n", + "\\item 0.23534677475111\n", + "\\item 0.205453749371486\n", + "\\item 0.141979701468716\n", + "\\item 0.258266470586608\n", + "\\item 0.177028108948053\n", + "\\item 0.411955822147367\n", + "\\item 0.154984435441496\n", + "\\item 0.246248047020582\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 0.270930108147223\n", + "\\item 0.177876766328158\n", + "\\item 0.326450766464154\n", + "\\item 0.311502662205435\n", + "\\item 0.225691622771454\n", + "\\item 0.252421874803098\n", + "\\item 0.305674432307848\n", + "\\item 0.29268862373965\n", + "\\item 0.194925046064698\n", + "\\item 0.310059958814278\n", + "\\item 0.22464101547952\n", + "\\item 0.325501689763591\n", + "\\item 0.289158300035728\n", + "\\item 0.471148425971653\n", + "\\item 0.125100321409708\n", + "\\item 0.305765636656787\n", + "\\item 0.310819911751819\n", + "\\item 0.332645443578637\n", + "\\item 0.238808540510156\n", + "\\item 0.336320211174754\n", + "\\item 0.328517322617188\n", + "\\item 0.247330496815013\n", + "\\item 0.179357648935078\n", + "\\item 0.28135674436891\n", + "\\item 0.37302197068191\n", + "\\item 0.352168551658148\n", + "\\item 0.223018214112201\n", + "\\item 0.397644197105878\n", + "\\item 0.235761430176604\n", + "\\item 0.192750991075275\n", + "\\item 0.341109178084237\n", + "\\item 0.416708991642802\n", + "\\item 0.288104658701457\n", + "\\item 0.267173676452772\n", + "\\item 0.22904998741081\n", + "\\item 0.314887650299678\n", + "\\item 0.323535399959081\n", + "\\item 0.131428406831907\n", + "\\item 0.304437377625684\n", + "\\item 0.298509322583498\n", + "\\item 0.249828878045833\n", + "\\item 0.241536135602651\n", + "\\item 0.276700972732359\n", + "\\item 0.291509525092864\n", + "\\item 0.370742030514011\n", + "\\item 0.243534310944817\n", + "\\item 0.461846460009986\n", + "\\item 0.302994529746564\n", + "\\item 0.267367793777981\n", + "\\item 0.279833907422949\n", + "\\item 0.197912115352514\n", + "\\item 0.318842824293737\n", + "\\item 0.213496506566727\n", + "\\item 0.34343922230386\n", + "\\item 0.341171059824762\n", + "\\item 0.266282413258355\n", + "\\item 0.274222996643047\n", + "\\item 0.151618643768171\n", + "\\item 0.251412304116758\n", + "\\item 0.292404259117342\n", + "\\item 0.209982982648606\n", + "\\item 0.175851735907231\n", + "\\item 0.217850272801846\n", + "\\item 0.182113702763952\n", + "\\item 0.395686679672485\n", + "\\item 0.265379356460831\n", + "\\item 0.17187858928874\n", + "\\item 0.281797427491004\n", + "\\item 0.395880109031718\n", + "\\item 0.412830360402528\n", + "\\item 0.200011199953221\n", + "\\item 0.190613258167763\n", + "\\item 0.267300807379002\n", + "\\item 0.235473580998451\n", + "\\item 0.268322384453076\n", + "\\item 0.198496320252163\n", + "\\item 0.344005082096232\n", + "\\item 0.26888938011593\n", + "\\item 0.323646552371372\n", + "\\item 0.331163309910553\n", + "\\item 0.401709295564534\n", + "\\item 0.331604475559368\n", + "\\item 0.245440737550696\n", + "\\item 0.337254238330085\n", + "\\item 0.194675009760544\n", + "\\item 0.207529648871509\n", + "\\item 0.184599653441381\n", + "\\item 0.309942208946244\n", + "\\item 0.317343574029434\n", + "\\item 0.368928329318196\n", + "\\item 0.165182103522582\n", + "\\item 0.196011747662001\n", + "\\item 0.247511801080934\n", + "\\item 0.272576156522699\n", + "\\item 0.28068322609159\n", + "\\item 0.392473077483803\n", + "\\item 0.375649684344052\n", + "\\item 0.226816957958147\n", + "\\item 0.132110264803671\n", + "\\item 0.290299315051289\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 0.369357108454856\n", + "\\item 0.328166263685525\n", + "\\item 0.214391088860316\n", + "\\item 0.301144268664908\n", + "\\item 0.222932107097144\n", + "\\item 0.25326895978093\n", + "\\item 0.290049679227366\n", + "\\item 0.284519587137041\n", + "\\item 0.238850232444877\n", + "\\item 0.183815803579899\n", + "\\item 0.384868932444073\n", + "\\item 0.314174727497634\n", + "\\item 0.274120103460756\n", + "\\item 0.248127394259982\n", + "\\item 0.28937366932916\n", + "\\item 0.3881922310188\n", + "\\item 0.241184061471425\n", + "\\item 0.227830186982434\n", + "\\item 0.323130479239858\n", + "\\item 0.285531429405514\n", + "\\item 0.258285497703365\n", + "\\item 0.207033239803604\n", + "\\item 0.247013568665589\n", + "\\item 0.275962669975821\n", + "\\item 0.210612283864078\n", + "\\item 0.320965582346712\n", + "\\item 0.3079899087939\n", + "\\item 0.35311217182634\n", + "\\item 0.336714055929801\n", + "\\item 0.215606415899826\n", + "\\item 0.141032512407652\n", + "\\item 0.292819616476268\n", + "\\item 0.369520527374547\n", + "\\item 0.0559939508022221\n", + "\\item 0.230778717879463\n", + "\\item 0.229153254965806\n", + "\\item 0.385111297803213\n", + "\\item 0.270982860968593\n", + "\\item 0.321174800332616\n", + "\\item 0.289840617893645\n", + "\\item 0.260635495773929\n", + "\\item 0.278719559793315\n", + "\\item 0.167885172394095\n", + "\\item 0.334464782975352\n", + "\\item 0.247456964581351\n", + "\\item 0.181321486801134\n", + "\\item 0.166837046115234\n", + "\\item 0.328621367378435\n", + "\\item 0.187449074086088\n", + "\\item 0.325105212479542\n", + "\\item 0.183365201169757\n", + "\\item 0.319494330382975\n", + "\\item 0.198864460019807\n", + "\\item 0.289307784140216\n", + "\\item 0.277867709733562\n", + "\\item 0.29187914227493\n", + "\\item 0.225330707437201\n", + "\\item 0.268742763387559\n", + "\\item 0.0954081539518639\n", + "\\item 0.120900599886892\n", + "\\item 0.197052279536593\n", + "\\item 0.2206081677614\n", + "\\item 0.137663331161831\n", + "\\item 0.193625815387993\n", + "\\item 0.193074697568478\n", + "\\item 0.20944706776631\n", + "\\item 0.255524848531044\n", + "\\item 0.209487047202779\n", + "\\item 0.256332343770929\n", + "\\item 0.33199074300436\n", + "\\item 0.192009080479191\n", + "\\item 0.356301222216686\n", + "\\item 0.154810890321156\n", + "\\item 0.340930068723255\n", + "\\item 0.283516092975303\n", + "\\item 0.330801055056987\n", + "\\item 0.349666634609693\n", + "\\item 0.281932948467863\n", + "\\item 0.372935977800923\n", + "\\item 0.0486885719666052\n", + "\\item 0.228423236526781\n", + "\\item 0.37483219427622\n", + "\\item 0.316588387115947\n", + "\\item 0.365053524794327\n", + "\\item 0.224134357795673\n", + "\\item 0.305753444597979\n", + "\\item 0.123731404639426\n", + "\\item 0.238234676489096\n", + "\\item 0.228508952025722\n", + "\\item 0.357434060317197\n", + "\\item 0.287683947814143\n", + "\\item 0.238086501606725\n", + "\\item 0.295632618663379\n", + "\\item 0.194923125195972\n", + "\\item 0.242911648027763\n", + "\\item 0.261548855670197\n", + "\\item 0.290427227682332\n", + "\\item 0.210397691071143\n", + "\\item 0.275151778272603\n", + "\\item 0.145035330619346\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 0.278706712720645\n", + "\\item 0.384600866871139\n", + "\\item 0.337742642900078\n", + "\\item 0.290807295618172\n", + "\\item 0.372465618625555\n", + "\\item 0.170638587242611\n", + "\\item 0.270501409815486\n", + "\\item 0.272613800134034\n", + "\\item 0.269818707171584\n", + "\\item 0.227194820777991\n", + "\\item 0.253955631457548\n", + "\\item 0.182228177452946\n", + "\\item 0.284797948877348\n", + "\\item 0.190049206154975\n", + "\\item 0.204252349369701\n", + "\\item 0.191703871651745\n", + "\\item 0.320345993961341\n", + "\\item 0.225484779313903\n", + "\\item 0.37652643184257\n", + "\\item 0.150176701891321\n", + "\\item 0.306026928538035\n", + "\\item 0.20180752654721\n", + "\\item 0.233449847274726\n", + "\\item 0.432293874748755\n", + "\\item 0.201273078031977\n", + "\\item 0.377410127559696\n", + "\\item 0.308073284704806\n", + "\\item 0.308219354858608\n", + "\\item 0.371124418026534\n", + "\\item 0.0989645634302895\n", + "\\item 0.0582630881985472\n", + "\\item 0.317414181903086\n", + "\\item 0.129516807441889\n", + "\\item 0.392721215327409\n", + "\\item 0.293432722737836\n", + "\\item 0.390849766181798\n", + "\\item 0.23813374997834\n", + "\\item 0.11998436882062\n", + "\\item 0.171058274000298\n", + "\\item 0.150803676106612\n", + "\\item 0.297424377479252\n", + "\\item 0.320942430042719\n", + "\\item 0.296836180461907\n", + "\\item 0.224570798592253\n", + "\\item 0.158297624284245\n", + "\\item 0.267667974077646\n", + "\\item 0.290740396326794\n", + "\\item 0.273174685316683\n", + "\\item 0.348959013638554\n", + "\\item 0.193750213508765\n", + "\\item 0.292701479860511\n", + "\\item 0.353773976491022\n", + "\\item 0.346778708846967\n", + "\\item 0.179415764492574\n", + "\\item 0.246557868177932\n", + "\\item 0.38511843542881\n", + "\\item 0.19464873554287\n", + "\\item 0.306492370995495\n", + "\\item 0.182982064451087\n", + "\\item 0.29873641699558\n", + "\\item 0.151585605206994\n", + "\\item 0.276077845294268\n", + "\\item 0.235888543028966\n", + "\\item 0.308099279596707\n", + "\\item 0.154252038384723\n", + "\\item 0.298819713494792\n", + "\\item 0.21984938539789\n", + "\\item 0.257429937898697\n", + "\\item 0.363207467587967\n", + "\\item 0.200074968976777\n", + "\\item 0.313623465142025\n", + "\\item 0.390359149735605\n", + "\\item 0.459082303918814\n", + "\\item 0.32682094846066\n", + "\\item 0.27396857465865\n", + "\\item 0.309877071253737\n", + "\\item 0.340415388705651\n", + "\\item 0.230831956843418\n", + "\\item 0.309633764937289\n", + "\\item 0.111071717402833\n", + "\\item 0.131723914946417\n", + "\\item 0.0898874272400567\n", + "\\item 0.265605997504588\n", + "\\item 0.277477457167287\n", + "\\item 0.250953152282822\n", + "\\item 0.31049041500988\n", + "\\item 0.180942711719931\n", + "\\item 0.261993956853093\n", + "\\item 0.182330648379544\n", + "\\item 0.243863243512054\n", + "\\item 0.284271868906468\n", + "\\item 0.180856861632697\n", + "\\item 0.33767499125609\n", + "\\item 0.42328087346633\n", + "\\item 0.38274110223732\n", + "\\item 0.179116710486157\n", + "\\item 0.371570470191736\n", + "\\item 0.18034300801457\n", + "\\item 0.265090237352226\n", + "\\item 0.346718715733203\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 0.221699957315788\n", + "\\item 0.423065127386284\n", + "\\item 0.196877074801112\n", + "\\item 0.396385197763442\n", + "\\item 0.248493561475673\n", + "\\item 0.418341797058424\n", + "\\item 0.424855151958626\n", + "\\item 0.290552286481526\n", + "\\item 0.40361508752213\n", + "\\item 0.168667787150047\n", + "\\item 0.453369836788275\n", + "\\item 0.325055052455796\n", + "\\item 0.218121196870763\n", + "\\item 0.375807506683099\n", + "\\item 0.219213005593582\n", + "\\item 0.201598880798623\n", + "\\item 0.221802038829747\n", + "\\item 0.231113975390313\n", + "\\item 0.320521308685927\n", + "\\item 0.368850526093681\n", + "\\item 0.242800814462639\n", + "\\item 0.129896533845109\n", + "\\item 0.283921428608339\n", + "\\item 0.153885077567327\n", + "\\item 0.203131082445161\n", + "\\item 0.293571640004675\n", + "\\item 0.170003025170717\n", + "\\item 0.314045233344186\n", + "\\item 0.296751799372516\n", + "\\item 0.131424981976793\n", + "\\item 0.281532823672439\n", + "\\item 0.27836914656114\n", + "\\item 0.155223063819847\n", + "\\item 0.25000995263276\n", + "\\item 0.345459234809627\n", + "\\item 0.133857449795793\n", + "\\item 0.143042437116153\n", + "\\item 0.250499295070674\n", + "\\item 0.301415401086951\n", + "\\item 0.197290038352916\n", + "\\item 0.363650474855073\n", + "\\item 0.220560787756119\n", + "\\item 0.235623125122992\n", + "\\item 0.265822425474461\n", + "\\item 0.340128266376588\n", + "\\item 0.294344859514574\n", + "\\item 0.222011396348681\n", + "\\item 0.399122263690786\n", + "\\item 0.221377443052187\n", + "\\item 0.377014655068221\n", + "\\item 0.212921792006236\n", + "\\item 0.161867544053993\n", + "\\item 0.123757905608666\n", + "\\item 0.188649512282763\n", + "\\item 0.226158905371819\n", + "\\item 0.338843804194546\n", + "\\item 0.304896479778208\n", + "\\item 0.372652814695983\n", + "\\item 0.303580469224839\n", + "\\item 0.161284234294006\n", + "\\item 0.305450316095443\n", + "\\item 0.300105162498339\n", + "\\item 0.208015319889821\n", + "\\item 0.165335812872515\n", + "\\item 0.192052885145463\n", + "\\item 0.326821306941101\n", + "\\item 0.353386028779029\n", + "\\item 0.169072910067834\n", + "\\item 0.258915012972416\n", + "\\item 0.0993057830254\n", + "\\item 0.298960476170276\n", + "\\item 0.268006745791431\n", + "\\item 0.192738852075723\n", + "\\item 0.159246263325045\n", + "\\item 0.286433371355897\n", + "\\item 0.355620872250923\n", + "\\item 0.177291956656387\n", + "\\item 0.298436195564161\n", + "\\item 0.181982933869122\n", + "\\item 0.23021803974458\n", + "\\item 0.145022921104437\n", + "\\item 0.239598854232446\n", + "\\item 0.360757679753909\n", + "\\item 0.369291140456602\n", + "\\item 0.334431668960433\n", + "\\item 0.222888109633512\n", + "\\item 0.192516870233395\n", + "\\item 0.292925765068574\n", + "\\item 0.383111328815358\n", + "\\item 0.224258340602378\n", + "\\item 0.177015479472131\n", + "\\item 0.131795535415462\n", + "\\item 0.230321184385022\n", + "\\item 0.23230668958472\n", + "\\item 0.216527808561034\n", + "\\item 0.258893807567913\n", + "\\item 0.32638304470148\n", + "\\item 0.092887552734438\n", + "\\item 0.327389740402328\n", + "\\item 0.247859585169847\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 0.365825053722338\n", + "\\item 0.26295682162493\n", + "\\item 0.310003283322433\n", + "\\item 0.269338589631854\n", + "\\item 0.237912111818124\n", + "\\item 0.262071274733131\n", + "\\item 0.226222542141413\n", + "\\item 0.0510238281657285\n", + "\\item 0.140887915957242\n", + "\\item 0.400451281754872\n", + "\\item 0.237775814904946\n", + "\\item 0.237145824176368\n", + "\\item 0.157518671275769\n", + "\\item 0.102443280510432\n", + "\\item 0.135332881424286\n", + "\\item 0.287553756452332\n", + "\\item 0.310064878395714\n", + "\\item 0.201668375572443\n", + "\\item 0.285206952130733\n", + "\\item 0.160042105853873\n", + "\\item 0.230354672144928\n", + "\\item 0.267931491356813\n", + "\\item 0.289042239462575\n", + "\\item 0.393484672151212\n", + "\\item 0.169524480268662\n", + "\\item 0.363604005357027\n", + "\\item 0.221528912097857\n", + "\\item 0.212598147074017\n", + "\\item 0.233873702175649\n", + "\\item 0.384151445650416\n", + "\\item 0.285218881616178\n", + "\\item 0.45860937225883\n", + "\\item 0.159649797003364\n", + "\\item 0.282752521265243\n", + "\\item 0.295911987099208\n", + "\\item 0.089156559484515\n", + "\\item 0.325918435965248\n", + "\\item 0.320409854624012\n", + "\\item 0.288660976774868\n", + "\\item 0.0967862607893799\n", + "\\item 0.337837558889387\n", + "\\item 0.265705936528199\n", + "\\item 0.23371278365215\n", + "\\item 0.329467248557248\n", + "\\item 0.300035147783219\n", + "\\item 0.297905835242414\n", + "\\item 0.252000645848901\n", + "\\item 0.141269461035904\n", + "\\item 0.187062379989642\n", + "\\item 0.162753568279125\n", + "\\item 0.286301633980821\n", + "\\item 0.319984642581745\n", + "\\item 0.370221798559086\n", + "\\item 0.203935150276574\n", + "\\item 0.3096046050697\n", + "\\item 0.286657517826125\n", + "\\item 0.301322455174785\n", + "\\item 0.247114324319804\n", + "\\item 0.209971942835129\n", + "\\item 0.246542866219817\n", + "\\item 0.3003428587605\n", + "\\item 0.145420369864297\n", + "\\item 0.335923860996031\n", + "\\item 0.129008588437079\n", + "\\item 0.251907568698243\n", + "\\item 0.324353049942839\n", + "\\item 0.36255193735929\n", + "\\item 0.162636528677274\n", + "\\item 0.320581298886634\n", + "\\item 0.232065019516894\n", + "\\item 0.178089487136784\n", + "\\item 0.226979311955924\n", + "\\item 0.3019577191104\n", + "\\item 0.318772877749002\n", + "\\item 0.209038328092165\n", + "\\item 0.189719182883667\n", + "\\item 0.418103532301014\n", + "\\item 0.329420029230713\n", + "\\item 0.327263530896291\n", + "\\item 0.278969506304462\n", + "\\item 0.257950869443331\n", + "\\item 0.271706930853523\n", + "\\item 0.302750745530096\n", + "\\item 0.189097553686403\n", + "\\item 0.402613420687303\n", + "\\item 0.212168368165131\n", + "\\item 0.273899537948651\n", + "\\item 0.250898325278128\n", + "\\item 0.374441448399685\n", + "\\item 0.300972091610197\n", + "\\item 0.278778855047844\n", + "\\item 0.198286683255428\n", + "\\item 0.405708310632579\n", + "\\item 0.260394032435087\n", + "\\item 0.306397883563773\n", + "\\item 0.255041044070812\n", + "\\item 0.263248664967047\n", + "\\item 0.32498711522619\n", + "\\item 0.308952222895191\n", + "\\item 0.0920841301623038\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 0.190411070725761\n", + "\\item 0.324256586736064\n", + "\\item 0.373703160664028\n", + "\\item 0.291402392344187\n", + "\\item 0.312593271940921\n", + "\\item 0.243896532266048\n", + "\\item 0.351022733246559\n", + "\\item 0.411970600465036\n", + "\\item 0.339717118585915\n", + "\\item 0.18436954592643\n", + "\\item 0.324726883828074\n", + "\\item 0.273334167739064\n", + "\\item 0.355069693724124\n", + "\\item 0.375834826237086\n", + "\\item 0.365256546872139\n", + "\\item 0.342249571020619\n", + "\\item 0.433466734922885\n", + "\\item 0.344887617970226\n", + "\\item 0.316206868464259\n", + "\\item 0.354097013916149\n", + "\\item 0.365593111027422\n", + "\\item 0.268207969352331\n", + "\\item 0.417773072544701\n", + "\\item 0.160563597341517\n", + "\\item 0.411803761854413\n", + "\\item 0.290421531384728\n", + "\\item 0.342361354908008\n", + "\\item 0.302477730574999\n", + "\\item 0.363487497177117\n", + "\\item 0.397599095846694\n", + "\\item 0.204363160197464\n", + "\\item 0.3583596942615\n", + "\\item 0.298292060499694\n", + "\\item 0.283340472561902\n", + "\\item 0.466501722831093\n", + "\\item 0.353397532485648\n", + "\\item 0.225136397153026\n", + "\\item 0.288576538851859\n", + "\\item 0.406063092055211\n", + "\\item 0.249832291068209\n", + "\\item 0.137097415404335\n", + "\\item 0.319047627038022\n", + "\\item 0.197006914403467\n", + "\\item 0.159849547126868\n", + "\\item 0.35994074473824\n", + "\\item 0.30653989364027\n", + "\\item 0.214906184207884\n", + "\\item 0.235577779849441\n", + "\\item 0.295845103946246\n", + "\\item 0.137375341236812\n", + "\\item 0.459465159817847\n", + "\\item 0.288578219926137\n", + "\\item 0.310568344517395\n", + "\\item 0.242224081932779\n", + "\\item 0.276403072851138\n", + "\\item 0.249914241448902\n", + "\\item 0.130188656318996\n", + "\\item 0.196061582983647\n", + "\\item 0.360923152091062\n", + "\\item 0.295772265234781\n", + "\\item 0.371091652576578\n", + "\\item 0.280744745887474\n", + "\\item 0.343438200699216\n", + "\\item 0.27064504947963\n", + "\\item 0.253508190785943\n", + "\\item 0.332960864197205\n", + "\\item 0.405504725713998\n", + "\\item 0.184738725079468\n", + "\\item 0.230252630931535\n", + "\\item 0.225310077574273\n", + "\\item 0.375237005297876\n", + "\\item 0.342548021408566\n", + "\\item 0.351849757695873\n", + "\\item 0.294264643883821\n", + "\\item 0.186568713080295\n", + "\\item 0.412177684070407\n", + "\\item 0.380565537217264\n", + "\\item 0.280394151209661\n", + "\\item 0.298126288169945\n", + "\\item 0.288865622928207\n", + "\\item 0.371868077391956\n", + "\\item 0.257045442998499\n", + "\\item 0.332560965134994\n", + "\\item 0.350823995612141\n", + "\\item 0.278437329527896\n", + "\\item 0.436269271902683\n", + "\\item 0.266306974356288\n", + "\\item 0.416551618167957\n", + "\\item 0.293077388530319\n", + "\\item 0.288730140563364\n", + "\\item 0.407249926224467\n", + "\\item 0.207488188574026\n", + "\\item 0.296220739204192\n", + "\\item 0.305994325174798\n", + "\\item 0.333063031434439\n", + "\\item 0.253916990188453\n", + "\\item 0.252856064581568\n", + "\\item 0.236620017021553\n", + "\\item 0.201299123645458\n", + "\\item 0.277644009944249\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 0.405370400866187\n", + "\\item 0.328069982049612\n", + "\\item 0.322491259552034\n", + "\\item 0.28785239482007\n", + "\\item 0.307973653418147\n", + "\\item 0.279748518086159\n", + "\\item 0.268885631729612\n", + "\\item 0.303216824733374\n", + "\\item 0.149153368809611\n", + "\\item 0.145586150163085\n", + "\\item 0.256890155007097\n", + "\\item 0.333702481963231\n", + "\\item 0.136873716080967\n", + "\\item 0.232710312578496\n", + "\\item 0.28344272446912\n", + "\\item 0.349047925321586\n", + "\\item 0.374389111586108\n", + "\\item 0.232089002981705\n", + "\\item 0.34814954972831\n", + "\\item 0.191527989677248\n", + "\\item 0.142754657597647\n", + "\\item 0.23064724790492\n", + "\\item 0.378383763058586\n", + "\\item 0.250896585587147\n", + "\\item 0.301002487272594\n", + "\\item 0.172259164561088\n", + "\\item 0.205302060180974\n", + "\\item 0.182233484211056\n", + "\\item 0.193210949378648\n", + "\\item 0.211558358969437\n", + "\\item 0.190136894002928\n", + "\\item 0.193719476419915\n", + "\\item 0.167039086575658\n", + "\\item 0.210630669266125\n", + "\\item 0.217678686197812\n", + "\\item 0.196672652250118\n", + "\\item 0.327196343852271\n", + "\\item 0.196656981351182\n", + "\\item 0.320689882028942\n", + "\\item 0.283447945912032\n", + "\\item 0.265765686440702\n", + "\\item 0.162216476963085\n", + "\\item 0.278219227800827\n", + "\\item 0.229400381485384\n", + "\\item 0.252119716559771\n", + "\\item 0.268121779925778\n", + "\\item 0.425933730848819\n", + "\\item 0.159711678434603\n", + "\\item 0.18639150331349\n", + "\\item 0.243013214076507\n", + "\\item 0.14598336701012\n", + "\\item 0.215690838268094\n", + "\\item 0.248717861839476\n", + "\\item 0.207757046814318\n", + "\\item 0.340344438038294\n", + "\\item 0.167036928979616\n", + "\\item 0.19493994442519\n", + "\\item 0.203106617638423\n", + "\\item 0.234742939548197\n", + "\\item 0.184961248207146\n", + "\\item 0.335582400411991\n", + "\\item 0.174211795476211\n", + "\\item 0.192306189108393\n", + "\\item 0.0898161903296311\n", + "\\item 0.206152344543397\n", + "\\item 0.318873787969063\n", + "\\item 0.311135318861991\n", + "\\item 0.205396097901297\n", + "\\item 0.23519585786092\n", + "\\item 0.243334840989905\n", + "\\item 0.23101323259562\n", + "\\item 0.205540728394467\n", + "\\item 0.171590352416323\n", + "\\item 0.232134915703207\n", + "\\item 0.283501890442084\n", + "\\item 0.293736865442075\n", + "\\item 0.316945045264238\n", + "\\item 0.21080021093353\n", + "\\item 0.171684120609068\n", + "\\item 0.344890190789226\n", + "\\item 0.281152004774645\n", + "\\item 0.154885981035595\n", + "\\item 0.142551894787163\n", + "\\item 0.211344254728146\n", + "\\item 0.280160560614177\n", + "\\item 0.400689624420473\n", + "\\item 0.166385927125752\n", + "\\item 0.218011565073571\n", + "\\item 0.345420971398356\n", + "\\item 0.260277135427282\n", + "\\item 0.233918170550102\n", + "\\item 0.168498261254102\n", + "\\item 0.31052611378362\n", + "\\item 0.258935902922445\n", + "\\item 0.243191792198743\n", + "\\item 0.252202271165256\n", + "\\item 0.166588349773271\n", + "\\item 0.194691800439716\n", + "\\item 0.357532313975264\n", + "\\item 0.216734050203959\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 0.140813776848461\n", + "\\item 0.137944781270025\n", + "\\item 0.199603546558178\n", + "\\item 0.330275890836645\n", + "\\item 0.269316472791984\n", + "\\item 0.368291801438446\n", + "\\item 0.262469270113248\n", + "\\item 0.276949869812895\n", + "\\item 0.263803082466611\n", + "\\item 0.253263622369841\n", + "\\item 0.23129674646266\n", + "\\item 0.144923227336329\n", + "\\item 0.250505845621942\n", + "\\item 0.234796699026658\n", + "\\item 0.216370237498844\n", + "\\item 0.16237411697542\n", + "\\item 0.295402037882355\n", + "\\item 0.169360944736346\n", + "\\item 0.215145443978821\n", + "\\item 0.230444441686121\n", + "\\item 0.304844591481115\n", + "\\item 0.34233501992132\n", + "\\item 0.279948136149484\n", + "\\item 0.096413583182306\n", + "\\item 0.0651065371246746\n", + "\\item 0.276063872873268\n", + "\\item 0.218852453664898\n", + "\\item 0.21616866448363\n", + "\\item 0.268829583570398\n", + "\\item 0.205375024989144\n", + "\\item 0.21860069366909\n", + "\\item 0.281301128618585\n", + "\\item 0.272745345558431\n", + "\\item 0.0953526902942969\n", + "\\item 0.397801735816937\n", + "\\item 0.220709692399903\n", + "\\item 0.161727258557017\n", + "\\item 0.366589362497447\n", + "\\item 0.332152907273897\n", + "\\item 0.122016653999529\n", + "\\item 0.261124199278075\n", + "\\item 0.20007979343786\n", + "\\item 0.319114806709089\n", + "\\item 0.212252433564318\n", + "\\item 0.390460867896615\n", + "\\item 0.242971272747922\n", + "\\item 0.219337174136159\n", + "\\item 0.271965928757138\n", + "\\item 0.228975563617705\n", + "\\item 0.199555679317493\n", + "\\item 0.250683680713952\n", + "\\item 0.274276193518518\n", + "\\item 0.164811751347305\n", + "\\item 0.127510168369421\n", + "\\item 0.120496067816366\n", + "\\item 0.149105159065408\n", + "\\item 0.244638569314887\n", + "\\item 0.32299106764473\n", + "\\item 0.067284260971477\n", + "\\item 0.287037648197661\n", + "\\item 0.255925898520193\n", + "\\item 0.20405085219171\n", + "\\item 0.185388213567062\n", + "\\item 0.205946678687609\n", + "\\item 0.291076971442757\n", + "\\item 0.153990938937635\n", + "\\item 0.131580383700887\n", + "\\item 0.346770070334655\n", + "\\item 0.317832670537859\n", + "\\item 0.266617256791541\n", + "\\item 0.428161514372947\n", + "\\item 0.294651041534511\n", + "\\item 0.293878423872705\n", + "\\item 0.331268491616679\n", + "\\item 0.271071633122144\n", + "\\item 0.299438367796705\n", + "\\item 0.243765102857368\n", + "\\item 0.35869313059889\n", + "\\item 0.348786569026861\n", + "\\item 0.236263680184918\n", + "\\item 0.419923273655035\n", + "\\item 0.267352029009038\n", + "\\item 0.141613911498005\n", + "\\item 0.200617583683672\n", + "\\item 0.301355423898012\n", + "\\item 0.30353246659412\n", + "\\item 0.155260514938753\n", + "\\item 0.207055173501655\n", + "\\item 0.204113974030521\n", + "\\item 0.275603617461786\n", + "\\item 0.187624728841992\n", + "\\item 0.248188975900268\n", + "\\item 0.290091167647828\n", + "\\item 0.244238147165445\n", + "\\item 0.392982104804839\n", + "\\item 0.217588950541553\n", + "\\item 0.285526175305741\n", + "\\item 0.161799847774064\n", + "\\item 0.283396278564543\n", + "\\item 0.308450312018713\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 0.311008575966649\n", + "\\item 0.217645506514103\n", + "\\item 0.202112647474111\n", + "\\item 0.140866015407458\n", + "\\item 0.266938207868026\n", + "\\item 0.254417455662952\n", + "\\item 0.279062342247881\n", + "\\item 0.230704814390847\n", + "\\item 0.205961283463038\n", + "\\item 0.271040242863513\n", + "\\item 0.229978884556077\n", + "\\item 0.371244324730158\n", + "\\item 0.185926978166342\n", + "\\item 0.231599113481107\n", + "\\item 0.295048233737745\n", + "\\item 0.144540298540182\n", + "\\item 0.120657855210957\n", + "\\item 0.288446766233326\n", + "\\item 0.23655696830299\n", + "\\item 0.244763609931428\n", + "\\item 0.15938323887841\n", + "\\item 0.257708996847928\n", + "\\item 0.155040201703158\n", + "\\item 0.14053327815954\n", + "\\item 0.158724752173183\n", + "\\item 0.199659739579439\n", + "\\item 0.192159494375199\n", + "\\item 0.229218357295027\n", + "\\item 0.250347012141294\n", + "\\item 0.183095092025022\n", + "\\item 0.264330675493817\n", + "\\item 0.221850825090963\n", + "\\item 0.265584272814099\n", + "\\item 0.316080025810857\n", + "\\item 0.248560105506366\n", + "\\item 0.181781722625324\n", + "\\item 0.174391453279453\n", + "\\item 0.293200955738294\n", + "\\item 0.216761059210521\n", + "\\item 0.25759511293034\n", + "\\item 0.304357824273768\n", + "\\item 0.374429761015905\n", + "\\item 0.310959078995451\n", + "\\item 0.23201364561788\n", + "\\item 0.209981463371899\n", + "\\item 0.235078335682576\n", + "\\item 0.294983913486978\n", + "\\item 0.084671284315742\n", + "\\item 0.204309107259735\n", + "\\item 0.168584888772946\n", + "\\item 0.346532808656631\n", + "\\item 0.365894482731035\n", + "\\item 0.199776773436912\n", + "\\item 0.22300069258957\n", + "\\item 0.349175317114022\n", + "\\item 0.305276392100297\n", + "\\item 0.335272232314597\n", + "\\item 0.175654547489595\n", + "\\item 0.256305484993973\n", + "\\item 0.272420650498912\n", + "\\item 0.240416424666969\n", + "\\item 0.243099407792007\n", + "\\item 0.191073071971549\n", + "\\item 0.253403741105491\n", + "\\item 0.222476586312239\n", + "\\item 0.313827365127983\n", + "\\item 0.195452539286604\n", + "\\item 0.287150164235533\n", + "\\item 0.24478096682064\n", + "\\item 0.344676790825614\n", + "\\item 0.214549111813142\n", + "\\item 0.289310059459727\n", + "\\item 0.125565373502055\n", + "\\item 0.215147847002828\n", + "\\item 0.189560622579689\n", + "\\item 0.300665077606215\n", + "\\item 0.193208561452409\n", + "\\item 0.284362696693084\n", + "\\item 0.125856455592817\n", + "\\item 0.326161911827026\n", + "\\item 0.305481276727881\n", + "\\item 0.236829174497295\n", + "\\item 0.158024820815339\n", + "\\item 0.340223883565251\n", + "\\item 0.331288269007762\n", + "\\item 0.185317164028281\n", + "\\item 0.179170778329253\n", + "\\item 0.219814413518062\n", + "\\item 0.336003455852372\n", + "\\item 0.329116435567812\n", + "\\item 0.232213971457777\n", + "\\item 0.23001999894363\n", + "\\item 0.261670323055707\n", + "\\item 0.198427624929032\n", + "\\item 0.258427040364533\n", + "\\item 0.262914597253273\n", + "\\item 0.348845458138402\n", + "\\item 0.214528015717124\n", + "\\item 0.276723090112344\n", + "\\item 0.233731017963396\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 0.2385453191667\n", + "\\item 0.202093191521532\n", + "\\item 0.262546767927739\n", + "\\item 0.1995345783635\n", + "\\item 0.0977775173388646\n", + "\\item 0.114325856717634\n", + "\\item 0.254124334749763\n", + "\\item 0.287176705145544\n", + "\\item 0.178229258416658\n", + "\\item 0.137211134166118\n", + "\\item 0.245875428252217\n", + "\\item 0.0959247646863539\n", + "\\item 0.253264887407673\n", + "\\item 0.186606750325755\n", + "\\item 0.25568766217352\n", + "\\item 0.170588107063527\n", + "\\item 0.224127105984375\n", + "\\item 0.165757384591006\n", + "\\item 0.202722986655426\n", + "\\item 0.23508052153993\n", + "\\item 0.179645399015665\n", + "\\item 0.137493092590014\n", + "\\item 0.227994647218827\n", + "\\item 0.103609598217723\n", + "\\item 0.179784698958358\n", + "\\item 0.150637077692671\n", + "\\item 0.403632224825738\n", + "\\item 0.189358252629815\n", + "\\item 0.330323172283412\n", + "\\item 0.16488210032707\n", + "\\item 0.251190917057793\n", + "\\item 0.149463999929198\n", + "\\item 0.188760465860275\n", + "\\item 0.215671385933708\n", + "\\item 0.357722586608695\n", + "\\item 0.216931275090209\n", + "\\item 0.182509815393608\n", + "\\item 0.264339913051202\n", + "\\item 0.26255461294042\n", + "\\item 0.23024267771583\n", + "\\item 0.285306256218781\n", + "\\item 0.192124523464717\n", + "\\item 0.158366431211656\n", + "\\item 0.232914306482953\n", + "\\item 0.160401098360056\n", + "\\item 0.263621539618096\n", + "\\item 0.253698376082973\n", + "\\item 0.279859290867678\n", + "\\item 0.178188384664331\n", + "\\item 0.25400910746887\n", + "\\item 0.222634624428998\n", + "\\item 0.18157270901626\n", + "\\item 0.190177702953686\n", + "\\item 0.168712324481067\n", + "\\item 0.264437369130702\n", + "\\item 0.233561562058238\n", + "\\item 0.173374858372761\n", + "\\item 0.253869692440294\n", + "\\item 0.231716305824815\n", + "\\item 0.336513300104347\n", + "\\item 0.210132763000999\n", + "\\item 0.239731418775915\n", + "\\item 0.227140635158753\n", + "\\item 0.308535541421015\n", + "\\item 0.394664002705277\n", + "\\item 0.256974665314661\n", + "\\item 0.284234821437851\n", + "\\item 0.209929164164259\n", + "\\item 0.209193753662169\n", + "\\item 0.198754916525338\n", + "\\item 0.207878008174107\n", + "\\item 0.224119519404672\n", + "\\item 0.302438496610853\n", + "\\item 0.220924962031544\n", + "\\item 0.19336809666108\n", + "\\item 0.235041932758079\n", + "\\item 0.340981027024466\n", + "\\item 0.30921073007218\n", + "\\item 0.226988617792463\n", + "\\item 0.185426210000153\n", + "\\item 0.283841834253402\n", + "\\item 0.302890329041087\n", + "\\item 0.250903558153994\n", + "\\item 0.273902884535001\n", + "\\item 0.237674795472205\n", + "\\item 0.24295740602621\n", + "\\item 0.146456238652111\n", + "\\item 0.229975772687566\n", + "\\item 0.220578982272738\n", + "\\item 0.252405937107481\n", + "\\item 0.160242565954686\n", + "\\item 0.249112577866533\n", + "\\item 0.203160964094285\n", + "\\item 0.214276323648048\n", + "\\item 0.408762222105706\n", + "\\item 0.209159575623285\n", + "\\item 0.198772940570974\n", + "\\item 0.270538705283039\n", + "\\item 0.220697369050313\n", + "\\item 0.27894751918197\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 0.179158672021293\n", + "\\item 0.105394769793462\n", + "\\item 0.22742262036136\n", + "\\item 0.261182895534711\n", + "\\item 0.0824882058280989\n", + "\\item 0.100954573172552\n", + "\\item 0.18616337988121\n", + "\\item 0.320106632895156\n", + "\\item 0.243897264935975\n", + "\\item 0.133257498118168\n", + "\\item 0.185980846667963\n", + "\\item 0.303366346552988\n", + "\\item 0.26256743598103\n", + "\\item 0.163966892760175\n", + "\\item 0.400437335569738\n", + "\\item 0.261536171455512\n", + "\\item 0.315980769995912\n", + "\\item 0.169744252081943\n", + "\\item 0.174647837629201\n", + "\\item 0.241317639423888\n", + "\\item 0.228481896504287\n", + "\\item 0.150340164914525\n", + "\\item 0.274959992164527\n", + "\\item 0.343060966271785\n", + "\\item 0.0536816847098286\n", + "\\item 0.219208183421669\n", + "\\item 0.29974218092055\n", + "\\item 0.322357881436149\n", + "\\item 0.24480422481004\n", + "\\item 0.364434002904477\n", + "\\item 0.337801409785248\n", + "\\item 0.157563528310478\n", + "\\item 0.166923832513418\n", + "\\item 0.336083605539636\n", + "\\item 0.163676388944282\n", + "\\item 0.200491141649783\n", + "\\item 0.176433347557004\n", + "\\item 0.281104666098462\n", + "\\item 0.202413795439053\n", + "\\item 0.246228252424349\n", + "\\item 0.301273750706795\n", + "\\item 0.170276065661386\n", + "\\item 0.181289726579438\n", + "\\item 0.196348022597053\n", + "\\item 0.218180734476602\n", + "\\item 0.351236123059891\n", + "\\item 0.186062183790858\n", + "\\item 0.246015503375582\n", + "\\item 0.238228981857919\n", + "\\item 0.297403445765687\n", + "\\item 0.27561168236352\n", + "\\item 0.267223406055345\n", + "\\item 0.171122706763428\n", + "\\item 0.18656299199092\n", + "\\item 0.243929917907615\n", + "\\item 0.268030032588842\n", + "\\item 0.217387810488953\n", + "\\item 0.217241878492059\n", + "\\item 0.244694668047812\n", + "\\item 0.216153234486695\n", + "\\item 0.283628037319353\n", + "\\item 0.35149746208316\n", + "\\item 0.281173177946456\n", + "\\item 0.209700329640449\n", + "\\item 0.318263164720852\n", + "\\item 0.210318367149302\n", + "\\item 0.0829156477938532\n", + "\\item 0.39055148367239\n", + "\\item 0.267533216730524\n", + "\\item 0.251883886478574\n", + "\\item 0.111735183112349\n", + "\\item 0.126054337146236\n", + "\\item 0.206420907691459\n", + "\\item 0.240580181417258\n", + "\\item 0.307546545453387\n", + "\\item 0.347091929906892\n", + "\\item 0.295838438198075\n", + "\\item 0.137161050317672\n", + "\\item 0.381564278866814\n", + "\\item 0.321026929038132\n", + "\\item 0.273921285584352\n", + "\\item 0.275349992558544\n", + "\\item 0.231970293740341\n", + "\\item 0.187304351908737\n", + "\\item 0.312638401950986\n", + "\\item 0.213699987407848\n", + "\\item 0.249143321618662\n", + "\\item 0.190527829206173\n", + "\\item 0.234945359492571\n", + "\\item 0.22218100826977\n", + "\\item 0.16907424071206\n", + "\\item 0.17383008685175\n", + "\\item 0.234072395931816\n", + "\\item 0.202265261867902\n", + "\\item 0.197465165328294\n", + "\\item 0.400168416671375\n", + "\\item 0.183926800683237\n", + "\\item 0.297505932683974\n", + "\\item 0.253365457219181\n", + "\\item 0.22384080465481\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 0.401120930894958\n", + "\\item 0.40111512053299\n", + "\\item 0.281975303563733\n", + "\\item 0.220349461223718\n", + "\\item 0.289107234063922\n", + "\\item 0.132170722462428\n", + "\\item 0.186091332051759\n", + "\\item 0.24491441805562\n", + "\\item 0.279400401045545\n", + "\\item 0.284803054352908\n", + "\\item 0.280152407618687\n", + "\\item 0.303308531429833\n", + "\\item 0.34040431932058\n", + "\\item 0.395541981046328\n", + "\\item 0.279655408967777\n", + "\\item 0.4023489452566\n", + "\\item 0.181807158374955\n", + "\\item 0.193083245956611\n", + "\\item 0.303686129159431\n", + "\\item 0.0816567433261371\n", + "\\item 0.311347706231943\n", + "\\item 0.39044430794367\n", + "\\item 0.275857183390108\n", + "\\item 0.273431089513822\n", + "\\item 0.182974536672087\n", + "\\item 0.230079736946818\n", + "\\item 0.271711256082778\n", + "\\item 0.357092878691293\n", + "\\item 0.316772681699264\n", + "\\item 0.316349919763429\n", + "\\item 0.335383215387824\n", + "\\item 0.372890000585398\n", + "\\item 0.376520308230531\n", + "\\item 0.264298438188871\n", + "\\item 0.266734284063917\n", + "\\item 0.330413302440849\n", + "\\item 0.130400866706214\n", + "\\item 0.166257150224844\n", + "\\item 0.185088321071317\n", + "\\item 0.217994144318983\n", + "\\item 0.180996511801051\n", + "\\item 0.231185362869705\n", + "\\item 0.278598743722371\n", + "\\item 0.126572536809709\n", + "\\item 0.332086300825775\n", + "\\item 0.114451565438249\n", + "\\item 0.386848910858713\n", + "\\item 0.31473833189092\n", + "\\item 0.166227044007918\n", + "\\item 0.313933638578552\n", + "\\item 0.248078980872768\n", + "\\item 0.284455876348828\n", + "\\item 0.330499333988433\n", + "\\item 0.0286523888111571\n", + "\\item 0.27888340960359\n", + "\\item 0.294120617662859\n", + "\\item 0.320239571884356\n", + "\\item 0.352389660444761\n", + "\\item 0.303991432549199\n", + "\\item 0.176058720167168\n", + "\\item 0.440813976532845\n", + "\\item 0.35028434919277\n", + "\\item 0.22519863173499\n", + "\\item 0.296710881484984\n", + "\\item 0.352837386444202\n", + "\\item 0.251341719840946\n", + "\\item 0.297284327065452\n", + "\\item 0.306476152235707\n", + "\\item 0.233883509874071\n", + "\\item 0.173015705859163\n", + "\\item 0.35530788716164\n", + "\\item 0.23563060860402\n", + "\\item 0.256727634911268\n", + "\\item 0.242049819276427\n", + "\\item 0.241705844577765\n", + "\\item 0.330716557846787\n", + "\\item 0.357215364637907\n", + "\\item 0.282724106470164\n", + "\\item 0.338732515647992\n", + "\\item 0.23578856364192\n", + "\\item 0.28971173370048\n", + "\\item 0.254958110620428\n", + "\\item 0.344678125767622\n", + "\\item 0.240826547475128\n", + "\\item 0.234234514229156\n", + "\\item 0.30852509339749\n", + "\\item 0.349429834481622\n", + "\\item 0.405871009464019\n", + "\\item 0.374135638900934\n", + "\\item 0.306115358764954\n", + "\\item 0.36488158322791\n", + "\\item 0.200241625601968\n", + "\\item 0.28001130913149\n", + "\\item 0.371714193504705\n", + "\\item 0.410313016117929\n", + "\\item 0.377780632578646\n", + "\\item 0.407730895043593\n", + "\\item 0.359358373476801\n", + "\\item 0.295164343793737\n", + "\\item 0.278374991896488\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 0.18147392786736\n", + "\\item 0.277537791757597\n", + "\\item 0.360480684586625\n", + "\\item 0.171132302425173\n", + "\\item 0.183738233751784\n", + "\\item 0.337016966612661\n", + "\\item 0.310740486738561\n", + "\\item 0.197060416201052\n", + "\\item 0.232618348275058\n", + "\\item 0.112934343292433\n", + "\\item 0.148713831570716\n", + "\\item 0.257152302137034\n", + "\\item 0.321148896212196\n", + "\\item 0.328796789859437\n", + "\\item 0.29310082394885\n", + "\\item 0.257537023005138\n", + "\\item 0.335422644867442\n", + "\\item 0.250884404616572\n", + "\\item 0.245492694599257\n", + "\\item 0.248708729259934\n", + "\\item 0.289247262525256\n", + "\\item 0.191044500964487\n", + "\\item 0.180623256391186\n", + "\\item 0.118625213851645\n", + "\\item 0.174226333451625\n", + "\\item 0.239703867970529\n", + "\\item 0.345096698849098\n", + "\\item 0.293179274586354\n", + "\\item 0.238881198800736\n", + "\\item 0.225139839333459\n", + "\\item 0.398200525088889\n", + "\\item 0.202848915418431\n", + "\\item 0.422235245317027\n", + "\\item 0.149798712854836\n", + "\\item 0.290051692155562\n", + "\\item 0.220283723324443\n", + "\\item 0.297373947909912\n", + "\\item 0.20361491255381\n", + "\\item 0.244725647728186\n", + "\\item 0.258198630852153\n", + "\\item 0.30104361883661\n", + "\\item 0.163730768512664\n", + "\\item 0.222167471412059\n", + "\\item 0.151737167145653\n", + "\\item 0.378927345903166\n", + "\\item 0.215735611115854\n", + "\\item 0.264523195567786\n", + "\\item 0.126603010091908\n", + "\\item 0.33727363457356\n", + "\\item 0.307071110056837\n", + "\\item 0.448544239870451\n", + "\\item 0.358414927823317\n", + "\\item 0.36097100516559\n", + "\\item 0.258180910013783\n", + "\\item 0.324640362598789\n", + "\\item 0.252968174009496\n", + "\\item 0.252265463172309\n", + "\\item 0.15664929822685\n", + "\\item 0.23862968070422\n", + "\\item 0.324655318128215\n", + "\\item 0.343300994162315\n", + "\\item 0.329318968482207\n", + "\\item 0.241467402022637\n", + "\\item 0.363978319099666\n", + "\\item 0.299352431805034\n", + "\\item 0.218123452630318\n", + "\\item 0.268523988244223\n", + "\\item 0.241445627919609\n", + "\\item 0.333620842326928\n", + "\\item 0.150222561249096\n", + "\\item 0.539235656974547\n", + "\\item 0.226930417472214\n", + "\\item 0.418277349423272\n", + "\\item 0.199523728645546\n", + "\\item 0.295182915127737\n", + "\\item 0.273254177083082\n", + "\\item 0.238432519617089\n", + "\\item 0.140410448933536\n", + "\\item 0.214924948788977\n", + "\\item 0.284259384314758\n", + "\\item 0.243748165375923\n", + "\\item 0.31464076168017\n", + "\\item 0.329888788444042\n", + "\\item 0.40940892720139\n", + "\\item 0.301574865714576\n", + "\\item 0.312462217287734\n", + "\\item 0.244664448367074\n", + "\\item 0.227778374585546\n", + "\\item 0.313386987611045\n", + "\\item 0.218467951237428\n", + "\\item 0.250581349222384\n", + "\\item 0.383610909942993\n", + "\\item 0.270265269564841\n", + "\\item 0.175154280443385\n", + "\\item 0.255246640540066\n", + "\\item 0.246634563907027\n", + "\\item 0.131726050376561\n", + "\\item 0.295174717123713\n", + "\\item 0.141136822510348\n", + "\\item 0.282707216476048\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 0.177079003573472\n", + "\\item 0.220831582537415\n", + "\\item 0.249791143952794\n", + "\\item 0.223558181074009\n", + "\\item 0.190091611830772\n", + "\\item 0.302650535550518\n", + "\\item 0.302675564382953\n", + "\\item 0.228347497805457\n", + "\\item 0.375414120257285\n", + "\\item 0.328772530933649\n", + "\\item 0.241755580625925\n", + "\\item 0.310611750211325\n", + "\\item 0.256162782742588\n", + "\\item 0.170826942156228\n", + "\\item 0.207217666328242\n", + "\\item 0.16737258103586\n", + "\\item 0.155326376467793\n", + "\\item 0.387865747655276\n", + "\\item 0.286394467866669\n", + "\\item 0.259538683152444\n", + "\\item 0.291934923155648\n", + "\\item 0.140512220557694\n", + "\\item 0.281629694911686\n", + "\\item 0.339680114449094\n", + "\\item 0.197849163338621\n", + "\\item 0.16558594531922\n", + "\\item 0.23464677910897\n", + "\\item 0.215984786138335\n", + "\\item 0.221830814489193\n", + "\\item 0.35661073075368\n", + "\\item 0.151325638411748\n", + "\\item 0.239731434281675\n", + "\\item 0.0735885276554991\n", + "\\item 0.201339952201987\n", + "\\item 0.305192675727185\n", + "\\item 0.251705724920699\n", + "\\item 0.224474165534597\n", + "\\item 0.268254394307272\n", + "\\item 0.208377495791679\n", + "\\item 0.207887465556311\n", + "\\item 0.18049033660796\n", + "\\item 0.193607800731716\n", + "\\item 0.215419597767931\n", + "\\item 0.272040933100473\n", + "\\item 0.311434249504711\n", + "\\item 0.394601485142404\n", + "\\item 0.229554795802286\n", + "\\item 0.133896809470332\n", + "\\item 0.197015932888629\n", + "\\item 0.233772198272242\n", + "\\item 0.180869076189278\n", + "\\item 0.230099229381949\n", + "\\item 0.151203974966939\n", + "\\item 0.234562285739313\n", + "\\item 0.196653380523785\n", + "\\item 0.268119117332308\n", + "\\item 0.228395088411291\n", + "\\item 0.205032061298271\n", + "\\item 0.318606475649448\n", + "\\item 0.421815895411943\n", + "\\item 0.204814447211915\n", + "\\item 0.208780162714083\n", + "\\item 0.279629425765968\n", + "\\item 0.291485523610593\n", + "\\item 0.323467310709452\n", + "\\item 0.258110075235881\n", + "\\item 0.108880536838785\n", + "\\item 0.193935275814014\n", + "\\item 0.159805259073731\n", + "\\item 0.249199284861017\n", + "\\item 0.269437944887367\n", + "\\item 0.170632169333711\n", + "\\item 0.250419846035889\n", + "\\item 0.342071498502384\n", + "\\item 0.27264893502042\n", + "\\item 0.238515006065672\n", + "\\item 0.188319002390352\n", + "\\item 0.258892384033666\n", + "\\item 0.268926675616126\n", + "\\item 0.360387159645227\n", + "\\item 0.295036958543343\n", + "\\item 0.101440564693493\n", + "\\item 0.275515428903929\n", + "\\item 0.262329630049761\n", + "\\item 0.143818891274623\n", + "\\item 0.187787196215461\n", + "\\item 0.251678689372377\n", + "\\item 0.324821376379573\n", + "\\item 0.360387489781667\n", + "\\item 0.32341093903763\n", + "\\item 0.295784646922587\n", + "\\item 0.259020477948085\n", + "\\item 0.355382362176316\n", + "\\item 0.325342389729944\n", + "\\item 0.279353179855249\n", + "\\item 0.238514521733738\n", + "\\item 0.25434596376604\n", + "\\item 0.323492602339304\n", + "\\item 0.149479448539588\n", + "\\item 0.261893285838531\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 0.291522344878641\n", + "\\item 0.19081430412649\n", + "\\item 0.344858125306801\n", + "\\item 0.177846655172568\n", + "\\item 0.237772705485972\n", + "\\item 0.0998962093525443\n", + "\\item 0.356546483784182\n", + "\\item 0.373824494157239\n", + "\\item 0.257448252788466\n", + "\\item 0.123674035387143\n", + "\\item 0.176610669715388\n", + "\\item 0.261689173338827\n", + "\\item 0.334605967015794\n", + "\\item 0.347493652419625\n", + "\\item 0.206252518006683\n", + "\\item 0.2886152938242\n", + "\\item 0.101235275614954\n", + "\\item 0.357690732724824\n", + "\\item 0.368043602120142\n", + "\\item 0.253081944824626\n", + "\\item 0.199745509597876\n", + "\\item 0.150786526850242\n", + "\\item 0.41113633178724\n", + "\\item 0.368974898231845\n", + "\\item 0.269700696779831\n", + "\\item 0.273839484543008\n", + "\\item 0.250605648762415\n", + "\\item 0.143974500305409\n", + "\\item 0.250425660302221\n", + "\\item 0.160489197425728\n", + "\\item 0.178495842674647\n", + "\\item 0.210403844576582\n", + "\\item 0.169980825642367\n", + "\\item 0.0916895406305695\n", + "\\item 0.245784934835596\n", + "\\item 0.30282590551776\n", + "\\item 0.229017957396443\n", + "\\item 0.1234713432814\n", + "\\item 0.24616422872469\n", + "\\item 0.222570774811124\n", + "\\item 0.282877737216151\n", + "\\item 0.198778643324696\n", + "\\item 0.335095072852949\n", + "\\item 0.350986363788849\n", + "\\item 0.139936796232379\n", + "\\item 0.348103365676472\n", + "\\item 0.261335009401266\n", + "\\item 0.342027437446292\n", + "\\item 0.201632464514096\n", + "\\item 0.158626632672936\n", + "\\item 0.307033927298755\n", + "\\item 0.342995078242787\n", + "\\item 0.184284912242019\n", + "\\item 0.190650103084548\n", + "\\item 0.269621344972056\n", + "\\item 0.119654133048252\n", + "\\item 0.101856688980703\n", + "\\item 0.162288343366922\n", + "\\item 0.268289951960521\n", + "\\item 0.221873449272787\n", + "\\item 0.309936432291684\n", + "\\item 0.249888333855543\n", + "\\item 0.213073307430671\n", + "\\item 0.423489525670799\n", + "\\item 0.320452626451649\n", + "\\item 0.229569028711655\n", + "\\item 0.379043940673209\n", + "\\item 0.20498010283988\n", + "\\item 0.140116949905147\n", + "\\item 0.31696643996886\n", + "\\item 0.274665279163824\n", + "\\item 0.247720180460961\n", + "\\item 0.249340951840986\n", + "\\item 0.22278319823622\n", + "\\item 0.381373022231723\n", + "\\item 0.146077537103709\n", + "\\item 0.304119300209776\n", + "\\item 0.230585769099761\n", + "\\item 0.267835746023292\n", + "\\item 0.357328382052257\n", + "\\item 0.312191236688561\n", + "\\item 0.356471117654776\n", + "\\item 0.272859374914895\n", + "\\item 0.212409784759838\n", + "\\item 0.234861272233448\n", + "\\item 0.193755713953832\n", + "\\item 0.257887463418127\n", + "\\item 0.192661606761402\n", + "\\item 0.341000570161527\n", + "\\item 0.169419076220259\n", + "\\item 0.192547686675628\n", + "\\item 0.214909060128543\n", + "\\item 0.30407427465747\n", + "\\item 0.376034129859693\n", + "\\item 0.21169879646538\n", + "\\item 0.332907478146355\n", + "\\item 0.311787149279429\n", + "\\item 0.302126631948848\n", + "\\item 0.215380926102711\n", + "\\item 0.250987072073975\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 0.229775434572017\n", + "\\item 0.361481765514345\n", + "\\item 0.223846145778094\n", + "\\item 0.201255346557335\n", + "\\item 0.196935775468876\n", + "\\item 0.220649326148062\n", + "\\item 0.2915602810559\n", + "\\item 0.280375052120088\n", + "\\item 0.222744282957928\n", + "\\item 0.131270682733533\n", + "\\item 0.256235650662762\n", + "\\item 0.28808667933104\n", + "\\item 0.209746724266664\n", + "\\item 0.406031312768316\n", + "\\item 0.253674640887352\n", + "\\item 0.285706990508338\n", + "\\item 0.449650170165405\n", + "\\item 0.248742537549483\n", + "\\item 0.327418754219947\n", + "\\item 0.201523633206851\n", + "\\item 0.336342786904585\n", + "\\item 0.253250880092046\n", + "\\item 0.333146131745642\n", + "\\item 0.174439085032495\n", + "\\item 0.396677474011663\n", + "\\item 0.327102736230488\n", + "\\item 0.293201947635716\n", + "\\item 0.184951805549417\n", + "\\item 0.171185047975809\n", + "\\item 0.207114719760344\n", + "\\item 0.26378779404651\n", + "\\item 0.278942758435002\n", + "\\item 0.357755648152073\n", + "\\item 0.23517515052311\n", + "\\item 0.170286792735994\n", + "\\item 0.266319001173257\n", + "\\item 0.270768113182049\n", + "\\item 0.420914151303632\n", + "\\item 0.311114896291636\n", + "\\item 0.145512260063283\n", + "\\item 0.486605280461547\n", + "\\item 0.297772674278497\n", + "\\item 0.277331340473209\n", + "\\item 0.306569099472909\n", + "\\item 0.189460677801719\n", + "\\item 0.238323887325686\n", + "\\item 0.298803119349025\n", + "\\item 0.263906183531244\n", + "\\item 0.364203108675596\n", + "\\item 0.141085454880091\n", + "\\item 0.368242344330556\n", + "\\item 0.512605329145767\n", + "\\item 0.187102364563525\n", + "\\item 0.373575519603712\n", + "\\item 0.25682107894525\n", + "\\item 0.362545984542043\n", + "\\item 0.389441076190448\n", + "\\item 0.178399562067678\n", + "\\item 0.314578070439033\n", + "\\item 0.246019740725964\n", + "\\item 0.24228249584337\n", + "\\item 0.133302657159506\n", + "\\item 0.336377536541034\n", + "\\item 0.212484508303257\n", + "\\item 0.23334548162485\n", + "\\item 0.259131768393401\n", + "\\item 0.232450110307264\n", + "\\item 0.204860641253739\n", + "\\item 0.43349877772054\n", + "\\item 0.223194080233921\n", + "\\item 0.218398148664085\n", + "\\item 0.177969777990582\n", + "\\item 0.221833403542125\n", + "\\item 0.388183620538365\n", + "\\item 0.356976446955313\n", + "\\item 0.0823582630044301\n", + "\\item 0.289571590470886\n", + "\\item 0.329989448136537\n", + "\\item 0.267734196247062\n", + "\\item 0.14429690525999\n", + "\\item 0.267820278504032\n", + "\\item 0.284019502522024\n", + "\\item 0.192742144952953\n", + "\\item 0.334350340655662\n", + "\\item 0.384189867690149\n", + "\\item 0.250934663159098\n", + "\\item 0.301941692844368\n", + "\\item 0.463532595869164\n", + "\\item 0.274864563485228\n", + "\\item 0.123004215339222\n", + "\\item 0.401530723121804\n", + "\\item 0.227294889883775\n", + "\\item 0.227396013792144\n", + "\\item 0.226793190967033\n", + "\\item 0.282186904123756\n", + "\\item 0.34430715325527\n", + "\\item 0.170251124950075\n", + "\\item 0.184569219786148\n", + "\\item 0.284110556781286\n", + "\\item 0.342486303876412\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 0.124613535301034\n", + "\\item 0.216358931131565\n", + "\\item 0.25428026717726\n", + "\\item 0.170738109686812\n", + "\\item 0.309782079742541\n", + "\\item 0.303672186385469\n", + "\\item 0.162794967083108\n", + "\\item 0.215051196443008\n", + "\\item 0.213814750579627\n", + "\\item 0.28115334407317\n", + "\\item 0.0947901874920895\n", + "\\item 0.168319845570565\n", + "\\item 0.223781208403931\n", + "\\item 0.212679365282867\n", + "\\item 0.102927889956587\n", + "\\item 0.0992116384990963\n", + "\\item 0.306895440783118\n", + "\\item 0.23846003867011\n", + "\\item 0.30848801984845\n", + "\\item 0.260830886043809\n", + "\\item 0.283934553970088\n", + "\\item 0.270552534947696\n", + "\\item 0.262253570805536\n", + "\\item 0.220830309616752\n", + "\\item 0.368000782940223\n", + "\\item 0.170513078394312\n", + "\\item 0.358230393644017\n", + "\\item 0.135260815428478\n", + "\\item 0.266434632323605\n", + "\\item 0.252641441753561\n", + "\\item 0.336403715770415\n", + "\\item 0.213022703716752\n", + "\\item 0.119925337826289\n", + "\\item 0.237530249250553\n", + "\\item 0.245529956867146\n", + "\\item 0.35376383846677\n", + "\\item 0.305159601700412\n", + "\\item 0.22682765057142\n", + "\\item 0.175220675482495\n", + "\\item 0.10868471600859\n", + "\\item 0.263028431745754\n", + "\\item 0.351067134509221\n", + "\\item 0.245843825741522\n", + "\\item 0.342880535381192\n", + "\\item 0.274060050198977\n", + "\\item 0.162003802973969\n", + "\\item 0.328424583956021\n", + "\\item 0.191942177458055\n", + "\\item 0.261987930845214\n", + "\\item 0.149455943173017\n", + "\\item 0.329311601679143\n", + "\\item 0.174662843930787\n", + "\\item 0.221259502012122\n", + "\\item 0.175101395920227\n", + "\\item 0.18840655356465\n", + "\\item 0.241750595396771\n", + "\\item 0.161165926674001\n", + "\\item 0.313893353255397\n", + "\\item 0.273248797687073\n", + "\\item 0.227038153086951\n", + "\\item 0.377852052553345\n", + "\\item 0.165173414521537\n", + "\\item 0.280523189962705\n", + "\\item 0.318976887940898\n", + "\\item 0.171863228147354\n", + "\\item 0.254281775484912\n", + "\\item 0.379639083355705\n", + "\\item 0.247846514134078\n", + "\\item 0.235752918519952\n", + "\\item 0.378146337855956\n", + "\\item 0.222140450447865\n", + "\\item 0.290276916045147\n", + "\\item 0.237528655570179\n", + "\\item 0.124801627072528\n", + "\\item 0.27630675364415\n", + "\\item 0.182584766420062\n", + "\\item 0.217347382021336\n", + "\\item 0.251515030965466\n", + "\\item 0.195058228845568\n", + "\\item 0.355281189330171\n", + "\\item 0.335477851203327\n", + "\\item 0.230467147389174\n", + "\\item 0.367636489892\n", + "\\item 0.262910347032135\n", + "\\item 0.265165933305843\n", + "\\item 0.370855895547144\n", + "\\item 0.319470569044547\n", + "\\item 0.276665837940095\n", + "\\item 0.303819824947051\n", + "\\item 0.235272722024338\n", + "\\item 0.417189400202027\n", + "\\item 0.274395802203762\n", + "\\item 0.291257120125178\n", + "\\item 0.223068154522617\n", + "\\item 0.152808320495521\n", + "\\item 0.278252648432656\n", + "\\item 0.207974882791103\n", + "\\item 0.14541695994918\n", + "\\item 0.168190169781754\n", + "\\item 0.164254055078581\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 0.202833074485451\n", + "\\item 0.333248975311804\n", + "\\item 0.172892723132305\n", + "\\item 0.275634139649902\n", + "\\item 0.211937703837638\n", + "\\item 0.211256159892082\n", + "\\item 0.274615883897793\n", + "\\item 0.21288266102663\n", + "\\item 0.141652335081892\n", + "\\item 0.217117127453156\n", + "\\item 0.303688161931177\n", + "\\item 0.159438125231746\n", + "\\item 0.190192453864982\n", + "\\item 0.27458353353572\n", + "\\item 0.25834669008635\n", + "\\item 0.237471528150282\n", + "\\item 0.233488806664184\n", + "\\item 0.244437950459463\n", + "\\item 0.247642562401993\n", + "\\item 0.204405810438933\n", + "\\item 0.387418920929071\n", + "\\item 0.294295407452317\n", + "\\item 0.375597148270042\n", + "\\item 0.172113900061115\n", + "\\item 0.251264354108665\n", + "\\item 0.278602124317868\n", + "\\item 0.203425349174999\n", + "\\item 0.154280103403446\n", + "\\item 0.258167123288345\n", + "\\item 0.20350895790963\n", + "\\item 0.265004954578649\n", + "\\item 0.236744270491585\n", + "\\item 0.30676405950192\n", + "\\item 0.156681543502932\n", + "\\item 0.196143285709197\n", + "\\item 0.278843402733888\n", + "\\item 0.248192969277553\n", + "\\item 0.255509018971874\n", + "\\item 0.145346898165955\n", + "\\item 0.422772649839643\n", + "\\item 0.247416159473859\n", + "\\item 0.289353512670817\n", + "\\item 0.271939222554911\n", + "\\item 0.108708163230378\n", + "\\item 0.316844398153389\n", + "\\item 0.146699838820825\n", + "\\item 0.275333867733502\n", + "\\item 0.28932579711365\n", + "\\item 0.29806630296363\n", + "\\item 0.288018120092514\n", + "\\item 0.160621188538986\n", + "\\item 0.226433645061881\n", + "\\item 0.12025310939729\n", + "\\item 0.222451991522628\n", + "\\item 0.328129725015544\n", + "\\item 0.11429905825154\n", + "\\item 0.316266578066947\n", + "\\item 0.296780589530386\n", + "\\item 0.253508426832677\n", + "\\item 0.416700899888421\n", + "\\item 0.244862950911815\n", + "\\item 0.232472458416392\n", + "\\item 0.309504906304929\n", + "\\item 0.268877032486796\n", + "\\item 0.318391822474013\n", + "\\item 0.1796863217097\n", + "\\item 0.141162333682065\n", + "\\item 0.275155065863101\n", + "\\item 0.166344803725054\n", + "\\item 0.245928128417004\n", + "\\item 0.219721759019153\n", + "\\item 0.179115659448871\n", + "\\item 0.101412545795651\n", + "\\item 0.204490710983167\n", + "\\item 0.185936049056286\n", + "\\item 0.229222294051892\n", + "\\item 0.339512412331664\n", + "\\item 0.189501587139564\n", + "\\item 0.201531980783677\n", + "\\item 0.136022402795776\n", + "\\item 0.149433569225739\n", + "\\item 0.416405775832458\n", + "\\item 0.104030746078192\n", + "\\item 0.284950173784436\n", + "\\item 0.301384144034417\n", + "\\item 0.156271597065225\n", + "\\item 0.246063494782256\n", + "\\item 0.228699644742939\n", + "\\item 0.215393916911341\n", + "\\item 0.14449394878738\n", + "\\item 0.218097676809671\n", + "\\item 0.238920356563844\n", + "\\item 0.299656544025223\n", + "\\item 0.263017961848741\n", + "\\item 0.0944285928906044\n", + "\\item 0.220689777903615\n", + "\\item 0.149400946643074\n", + "\\item 0.175050042520813\n", + "\\item 0.325741059464161\n", + "\\item 0.271712240513701\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 0.275938107189322\n", + "\\item 0.225555073264919\n", + "\\item 0.293429389586289\n", + "\\item 0.255842735729067\n", + "\\item 0.290004927637627\n", + "\\item 0.259087576846355\n", + "\\item 0.405302153629692\n", + "\\item 0.409160070076576\n", + "\\item 0.195253901379574\n", + "\\item 0.227276855507877\n", + "\\item 0.219870765542252\n", + "\\item 0.341567294418344\n", + "\\item 0.17874049004643\n", + "\\item 0.342093415005517\n", + "\\item 0.196300532561108\n", + "\\item 0.257641266552123\n", + "\\item 0.219819190727828\n", + "\\item 0.395830208790669\n", + "\\item 0.183750006455367\n", + "\\item 0.190145240293152\n", + "\\item 0.309894154922664\n", + "\\item 0.23018617879447\n", + "\\item 0.232449148931828\n", + "\\item 0.282123565675154\n", + "\\item 0.216615092802209\n", + "\\item 0.150419734450832\n", + "\\item 0.217349850008853\n", + "\\item 0.353471075952047\n", + "\\item 0.297326179340123\n", + "\\item 0.162491833224109\n", + "\\item 0.243235389766438\n", + "\\item 0.122373092672292\n", + "\\item 0.371045992140005\n", + "\\item 0.307147570952846\n", + "\\item 0.234132280497362\n", + "\\item 0.227034106539811\n", + "\\item 0.203115464406202\n", + "\\item 0.179151211814196\n", + "\\item 0.323490250927894\n", + "\\item 0.24730975335138\n", + "\\item 0.215220171160422\n", + "\\item 0.248070133724099\n", + "\\item 0.240786452918612\n", + "\\item 0.255249574907338\n", + "\\item 0.315078511288599\n", + "\\item 0.122878684669766\n", + "\\item 0.203906486944094\n", + "\\item 0.172834924598401\n", + "\\item 0.200827724874881\n", + "\\item 0.171851144429823\n", + "\\item 0.355749281729985\n", + "\\item 0.223489968198166\n", + "\\item 0.192910629057141\n", + "\\item 0.382395701310544\n", + "\\item 0.322047943199382\n", + "\\item 0.249745243455206\n", + "\\item 0.322144509466031\n", + "\\item 0.178155080042733\n", + "\\item 0.258235687426575\n", + "\\item 0.190652236443327\n", + "\\item 0.114688554167419\n", + "\\item 0.306804308202621\n", + "\\item 0.270683638290994\n", + "\\item 0.199443167278276\n", + "\\item 0.185183749605199\n", + "\\item 0.162291400400019\n", + "\\item 0.347894694152303\n", + "\\item 0.375554922084942\n", + "\\item 0.218832836940108\n", + "\\item 0.105545695147838\n", + "\\item 0.475339733793853\n", + "\\item 0.179370740702789\n", + "\\item 0.263119190113707\n", + "\\item 0.224695056305788\n", + "\\item 0.263258667235669\n", + "\\item 0.212422599838768\n", + "\\item 0.291016009875545\n", + "\\item 0.320341007134207\n", + "\\item 0.303182682210423\n", + "\\item 0.193973382028535\n", + "\\item 0.208043473259\n", + "\\item 0.190918724223042\n", + "\\item 0.35351458318065\n", + "\\item 0.168756609979126\n", + "\\item 0.146297173213221\n", + "\\item 0.290048638931274\n", + "\\item 0.247418016288166\n", + "\\item 0.394470696254499\n", + "\\item 0.330351483626851\n", + "\\item 0.193767400000173\n", + "\\item 0.186440614474148\n", + "\\item 0.206776257873879\n", + "\\item 0.20098526053199\n", + "\\item 0.170197087832046\n", + "\\item 0.181639616971991\n", + "\\item 0.249272752555376\n", + "\\item 0.291781907043545\n", + "\\item 0.18823656152787\n", + "\\item 0.0767854142874085\n", + "\\item 0.235036401627567\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 0.1961298650715\n", + "\\item 0.240094879617299\n", + "\\item 0.202807232679814\n", + "\\item 0.183844689594941\n", + "\\item 0.134442608392287\n", + "\\item 0.301617810755324\n", + "\\item 0.279396988962999\n", + "\\item 0.213895602746982\n", + "\\item 0.192566275707342\n", + "\\item 0.182176664507136\n", + "\\item 0.283646296642257\n", + "\\item 0.152823739523163\n", + "\\item 0.316508393925907\n", + "\\item 0.227730905551271\n", + "\\item 0.244229005517108\n", + "\\item 0.102231871907223\n", + "\\item 0.258637207556758\n", + "\\item 0.224270029573941\n", + "\\item 0.292116590532502\n", + "\\item 0.353437010654482\n", + "\\item 0.307803715237503\n", + "\\item 0.217554781004835\n", + "\\item 0.205721480932573\n", + "\\item 0.198951098078049\n", + "\\item 0.303545748687044\n", + "\\item 0.198485855772333\n", + "\\item 0.104277515255608\n", + "\\item 0.211624161995421\n", + "\\item 0.242123792863678\n", + "\\item 0.213805921825549\n", + "\\item 0.309494336442496\n", + "\\item 0.311700215221333\n", + "\\item 0.258487753017037\n", + "\\item 0.229917022511868\n", + "\\item 0.256953627615351\n", + "\\item 0.242669127993739\n", + "\\item 0.292945895281298\n", + "\\item 0.112497899712693\n", + "\\item 0.274783684345599\n", + "\\item 0.203290476895569\n", + "\\item 0.35848632799526\n", + "\\item 0.295779872860561\n", + "\\item 0.10100577373127\n", + "\\item 0.264160734166875\n", + "\\item 0.179309001859987\n", + "\\item 0.246032505683562\n", + "\\item 0.173738452305055\n", + "\\item 0.225535441705455\n", + "\\item 0.281059737511049\n", + "\\item 0.225872948473714\n", + "\\item 0.153488897251008\n", + "\\item 0.179502367067736\n", + "\\item 0.15644064764209\n", + "\\item 0.277409188333166\n", + "\\item 0.303455102334102\n", + "\\item 0.221995574806343\n", + "\\item 0.197026260559248\n", + "\\item 0.382569725565254\n", + "\\item 0.262127035468051\n", + "\\item 0.314554634014866\n", + "\\item 0.155324267002014\n", + "\\item 0.194515452610571\n", + "\\item 0.310704488883197\n", + "\\item 0.161927603602451\n", + "\\item 0.150843322833709\n", + "\\item 0.147972441299755\n", + "\\item 0.223253757981224\n", + "\\item 0.172411435024257\n", + "\\item 0.17260282054578\n", + "\\item 0.18712088242821\n", + "\\item 0.208229179792985\n", + "\\item 0.10761866462364\n", + "\\item 0.257880896316459\n", + "\\item 0.340790508307784\n", + "\\item 0.227908116933928\n", + "\\item 0.214973701541422\n", + "\\item 0.250889885856847\n", + "\\item 0.0867985835011673\n", + "\\item 0.323095624984446\n", + "\\item 0.10759718204953\n", + "\\item 0.307925243094131\n", + "\\item 0.216580796765875\n", + "\\item 0.140422642353007\n", + "\\item 0.161605776358229\n", + "\\item 0.248411169026855\n", + "\\item 0.138748903166355\n", + "\\item 0.169889338580893\n", + "\\item 0.189157942488824\n", + "\\item 0.193648555885255\n", + "\\item 0.23050451712426\n", + "\\item 0.194349635690898\n", + "\\item 0.215587156493712\n", + "\\item 0.200158295481142\n", + "\\item 0.194097486720389\n", + "\\item 0.14383866856443\n", + "\\item 0.130326043403181\n", + "\\item 0.293843166598442\n", + "\\item 0.118976021849531\n", + "\\item 0.227476502252967\n", + "\\item 0.234716455858685\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 0.281771601755142\n", + "\\item 0.326611059472695\n", + "\\item 0.294263861845795\n", + "\\item 0.272464329804017\n", + "\\item 0.288758872422233\n", + "\\item 0.25390529649458\n", + "\\item 0.353773519981496\n", + "\\item 0.331940228749679\n", + "\\item 0.490826597849803\n", + "\\item 0.315638763166034\n", + "\\item 0.17698028843623\n", + "\\item 0.25833552464125\n", + "\\item 0.524389160140072\n", + "\\item 0.190855806871292\n", + "\\item 0.373457899390081\n", + "\\item 0.253722571909635\n", + "\\item 0.285901652774749\n", + "\\item 0.286907481934757\n", + "\\item 0.242395472581306\n", + "\\item 0.225271765706931\n", + "\\item 0.321170547868082\n", + "\\item 0.339200672616648\n", + "\\item 0.252544464075792\n", + "\\item 0.260386692856808\n", + "\\item 0.237417616789137\n", + "\\item 0.202121617717613\n", + "\\item 0.305935410522029\n", + "\\item 0.333998890576926\n", + "\\item 0.393245240053726\n", + "\\item 0.271832497173036\n", + "\\item 0.16684953017815\n", + "\\item 0.308475899291963\n", + "\\item 0.307390700385285\n", + "\\item 0.180593741633139\n", + "\\item 0.205712476250078\n", + "\\item 0.286641613215578\n", + "\\item 0.20184805869917\n", + "\\item 0.237223991616039\n", + "\\item 0.330607501193695\n", + "\\item 0.249615613983241\n", + "\\item 0.209127563329569\n", + "\\item 0.284698677822263\n", + "\\item 0.28775599075779\n", + "\\item 0.28506608698602\n", + "\\item 0.17798247128418\n", + "\\item 0.245730187620068\n", + "\\item 0.177216358351483\n", + "\\item 0.433170732671639\n", + "\\item 0.336242120877284\n", + "\\item 0.216739976911541\n", + "\\item 0.231263460052332\n", + "\\item 0.213531290225727\n", + "\\item 0.311442574274451\n", + "\\item 0.244590376582228\n", + "\\item 0.352554834138125\n", + "\\item 0.280791250497283\n", + "\\item 0.232168054997422\n", + "\\item 0.402888336977527\n", + "\\item 0.342935898073754\n", + "\\item 0.285668042963285\n", + "\\item 0.306697422275834\n", + "\\item 0.253672967750349\n", + "\\item 0.298228434106973\n", + "\\item 0.153861005293402\n", + "\\item 0.324095283427064\n", + "\\item 0.24358699020597\n", + "\\item 0.246268357842985\n", + "\\item 0.334347008068743\n", + "\\item 0.463190260211072\n", + "\\item 0.245434785464224\n", + "\\item 0.256165171614681\n", + "\\item 0.455857010531152\n", + "\\item 0.419381776074789\n", + "\\item 0.418993717429575\n", + "\\item 0.250891889010833\n", + "\\item 0.223946353550153\n", + "\\item 0.248469037155332\n", + "\\item 0.294853309878837\n", + "\\item 0.250487093966115\n", + "\\item 0.171321721162295\n", + "\\item 0.285701354628899\n", + "\\item 0.225507489968189\n", + "\\item 0.264590821442558\n", + "\\item 0.146888668661419\n", + "\\item 0.279239716673006\n", + "\\item 0.271406432196256\n", + "\\item 0.121820870456109\n", + "\\item 0.29248931418463\n", + "\\item 0.175665602808759\n", + "\\item 0.272919586398392\n", + "\\item 0.342007297663186\n", + "\\item 0.353478455047913\n", + "\\item 0.230254081911289\n", + "\\item 0.281469585196462\n", + "\\item 0.239974909762388\n", + "\\item 0.297848884421646\n", + "\\item 0.282149593333268\n", + "\\item 0.241656803290328\n", + "\\item 0.216072194641761\n", + "\\item 0.302879859185157\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 0.178015665076832\n", + "\\item 0.156855754174583\n", + "\\item 0.216443474045979\n", + "\\item 0.101661920709096\n", + "\\item 0.180329841354508\n", + "\\item 0.203879189323149\n", + "\\item 0.16329319375935\n", + "\\item 0.259524478636343\n", + "\\item 0.307348617825097\n", + "\\item 0.142440564780707\n", + "\\item 0.323745484757926\n", + "\\item 0.15967435985485\n", + "\\item 0.255179215261148\n", + "\\item 0.160549501540549\n", + "\\item 0.225916022156365\n", + "\\item 0.380034103791088\n", + "\\item 0.219163020233963\n", + "\\item 0.282550821909985\n", + "\\item 0.252165405264756\n", + "\\item 0.211176298622533\n", + "\\item 0.119628685910999\n", + "\\item 0.279830202039092\n", + "\\item 0.116171361692203\n", + "\\item 0.158105060447411\n", + "\\item 0.131066916532934\n", + "\\item 0.397844692345502\n", + "\\item 0.251917196632476\n", + "\\item 0.280106663733561\n", + "\\item 0.280513519607245\n", + "\\item 0.138351522903484\n", + "\\item 0.286553715013429\n", + "\\item 0.224659832705366\n", + "\\item 0.233106738032502\n", + "\\item 0.182013985506387\n", + "\\item 0.316679249760881\n", + "\\item 0.186186816788432\n", + "\\item 0.298515848328758\n", + "\\item 0.214073298533606\n", + "\\item 0.306506747379356\n", + "\\item 0.12332526815993\n", + "\\item 0.186319661083034\n", + "\\item 0.196284717486288\n", + "\\item 0.320576427612415\n", + "\\item 0.208971930159574\n", + "\\item 0.217482982827757\n", + "\\item 0.172312329985563\n", + "\\item 0.179833701565315\n", + "\\item 0.34918147770797\n", + "\\item 0.211744991543384\n", + "\\item 0.22429155311103\n", + "\\item 0.182025213556591\n", + "\\item 0.225993590117212\n", + "\\item 0.346366194871054\n", + "\\item 0.0903185989790574\n", + "\\item 0.354820060855681\n", + "\\item 0.335436437318971\n", + "\\item 0.35149708102309\n", + "\\item 0.315751842725876\n", + "\\item 0.310453768887009\n", + "\\item 0.100099908786149\n", + "\\item 0.158472061934205\n", + "\\item 0.274075931347088\n", + "\\item 0.213236846159346\n", + "\\item 0.263164346802386\n", + "\\item 0.193109057152695\n", + "\\item 0.311937506950871\n", + "\\item 0.299516854987923\n", + "\\item 0.118113931163486\n", + "\\item 0.2656103880116\n", + "\\item 0.224341480852704\n", + "\\item 0.153276615541357\n", + "\\item 0.20293230415735\n", + "\\item 0.159031745186545\n", + "\\item 0.246751588904952\n", + "\\item 0.160576829033353\n", + "\\item 0.156541310111497\n", + "\\item 0.285294137929744\n", + "\\item 0.233922833516766\n", + "\\item 0.247345940303253\n", + "\\item 0.306064276222483\n", + "\\item 0.279602736138391\n", + "\\item 0.346391329660931\n", + "\\item 0.174434482610796\n", + "\\item 0.2190747066369\n", + "\\item 0.260708316293311\n", + "\\item 0.31668534867626\n", + "\\item 0.231369840342309\n", + "\\item 0.230501381334014\n", + "\\item 0.34073480487232\n", + "\\item 0.310981026373199\n", + "\\item 0.0844032288085267\n", + "\\item 0.247068631744166\n", + "\\item 0.197950270172152\n", + "\\item 0.377008849175088\n", + "\\item 0.161658568278805\n", + "\\item 0.282825994186941\n", + "\\item 0.197707820863739\n", + "\\item 0.225592914725481\n", + "\\item 0.285301625447957\n", + "\\item 0.406658617260599\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 0.187254499668262\n", + "\\item 0.171994328000207\n", + "\\item 0.272578720167164\n", + "\\item 0.253474030196476\n", + "\\item 0.191649968228839\n", + "\\item 0.192986201203637\n", + "\\item 0.227490696460936\n", + "\\item 0.24288830693316\n", + "\\item 0.191950633824074\n", + "\\item 0.138846164184915\n", + "\\item 0.114830342372419\n", + "\\item 0.192489206372075\n", + "\\item 0.172489154041183\n", + "\\item 0.236192098919407\n", + "\\item 0.173520853361668\n", + "\\item 0.222053499985474\n", + "\\item 0.260562211653945\n", + "\\item 0.314141017732543\n", + "\\item 0.310927992479207\n", + "\\item 0.361727843957071\n", + "\\item 0.210448961214982\n", + "\\item 0.249142758119801\n", + "\\item 0.222750088737416\n", + "\\item 0.1754326668916\n", + "\\item 0.329400410983052\n", + "\\item 0.170334789610381\n", + "\\item 0.308378826888732\n", + "\\item 0.278364137321251\n", + "\\item 0.225522324631958\n", + "\\item 0.284284511151826\n", + "\\item 0.23509783162905\n", + "\\item 0.295613544717417\n", + "\\item 0.233227984623129\n", + "\\item 0.303314992622808\n", + "\\item 0.246090559688707\n", + "\\item 0.145096409190444\n", + "\\item 0.309134424086924\n", + "\\item 0.259537355147236\n", + "\\item 0.269567033413905\n", + "\\item 0.289502656038459\n", + "\\item 0.211102794989288\n", + "\\item 0.225510488948108\n", + "\\item 0.320781197743495\n", + "\\item 0.309274960404667\n", + "\\item 0.205850307666652\n", + "\\item 0.263088207521231\n", + "\\item 0.217452213594574\n", + "\\item 0.421529292332679\n", + "\\item 0.0739764754486255\n", + "\\item 0.265271242304806\n", + "\\item 0.225930771438621\n", + "\\item 0.333304308471311\n", + "\\item 0.3341619997118\n", + "\\item 0.170384688854079\n", + "\\item 0.296897106059932\n", + "\\item 0.143533236762045\n", + "\\item 0.172584910279558\n", + "\\item 0.226225816768494\n", + "\\item 0.202941044004414\n", + "\\item 0.131716437636675\n", + "\\item 0.259443923904112\n", + "\\item 0.310448172651669\n", + "\\item 0.260675472343975\n", + "\\item 0.302920287944636\n", + "\\item 0.215030297132857\n", + "\\item 0.154963967167124\n", + "\\item 0.170352385002559\n", + "\\item 0.161118955014387\n", + "\\item 0.136943757336812\n", + "\\item 0.308443573553623\n", + "\\item 0.0958303627291011\n", + "\\item 0.329125380060305\n", + "\\item 0.266316276400458\n", + "\\item 0.292715272950323\n", + "\\item 0.274759127704489\n", + "\\item 0.309213604983321\n", + "\\item 0.181319934586898\n", + "\\item 0.258124521040613\n", + "\\item 0.193970458085687\n", + "\\item 0.397482418936063\n", + "\\item 0.238603214668881\n", + "\\item 0.102777536556661\n", + "\\item 0.307797327011316\n", + "\\item 0.344468305520312\n", + "\\item 0.324710020872319\n", + "\\item 0.187760166792473\n", + "\\item 0.198430411256933\n", + "\\item 0.206926776415177\n", + "\\item 0.235885038169071\n", + "\\item 0.314827353954076\n", + "\\item 0.327244969063064\n", + "\\item 0.211710796375391\n", + "\\item 0.182271976186011\n", + "\\item 0.0474815960202031\n", + "\\item 0.377031679199571\n", + "\\item 0.306986764197161\n", + "\\item 0.221773367946513\n", + "\\item 0.324741378651145\n", + "\\item 0.376735340075282\n", + "\\item 0.259330469273513\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 0.209281054448276\n", + "\\item 0.223173810692096\n", + "\\item 0.199997970949689\n", + "\\item 0.172573258977447\n", + "\\item 0.253842123591882\n", + "\\item 0.247628175015259\n", + "\\item 0.260902928781868\n", + "\\item 0.239371185975561\n", + "\\item 0.152322446248572\n", + "\\item 0.253784602726031\n", + "\\item 0.285139515664445\n", + "\\item 0.200407119046086\n", + "\\item 0.225911757046887\n", + "\\item 0.287248688089642\n", + "\\item 0.280815095997386\n", + "\\item 0.329017806975477\n", + "\\item 0.221290384990176\n", + "\\item 0.391091390109188\n", + "\\item 0.26653531380981\n", + "\\item 0.22985179050102\n", + "\\item 0.306046359302208\n", + "\\item 0.284242706820644\n", + "\\item 0.165108409145988\n", + "\\item 0.218095318432371\n", + "\\item 0.334297791518078\n", + "\\item 0.126595718735191\n", + "\\item 0.306705545094417\n", + "\\item 0.265488200798949\n", + "\\item 0.211262917572575\n", + "\\item 0.386365100615755\n", + "\\item 0.212353792584633\n", + "\\item 0.215451234205519\n", + "\\item 0.133011209768307\n", + "\\item 0.346625600685951\n", + "\\item 0.152019555531459\n", + "\\item 0.313445540453826\n", + "\\item 0.211393928624309\n", + "\\item 0.264089924670353\n", + "\\item 0.269062090030616\n", + "\\item 0.367647142693423\n", + "\\item 0.297398672163054\n", + "\\item 0.308922225188961\n", + "\\item 0.361461724079713\n", + "\\item 0.168704885945969\n", + "\\item 0.204601400616753\n", + "\\item 0.225686480321713\n", + "\\item 0.16985793542517\n", + "\\item 0.338942414762882\n", + "\\item 0.380206560215206\n", + "\\item 0.389769864573597\n", + "\\item 0.358892241867133\n", + "\\item 0.281569048548769\n", + "\\item 0.272934030763627\n", + "\\item 0.168829141665975\n", + "\\item 0.27615837867646\n", + "\\item 0.217438605321982\n", + "\\item 0.368922071710345\n", + "\\item 0.22192069695701\n", + "\\item 0.359216859194158\n", + "\\item 0.259040476178829\n", + "\\item 0.28668018175736\n", + "\\item 0.265031714784874\n", + "\\item 0.205616138784185\n", + "\\item 0.209347020625847\n", + "\\item 0.413516483929263\n", + "\\item 0.371280255288463\n", + "\\item 0.175825022492336\n", + "\\item 0.303672455663157\n", + "\\item 0.187179077671056\n", + "\\item 0.129911859492218\n", + "\\item 0.241122894144102\n", + "\\item 0.299390138536607\n", + "\\item 0.232772839268251\n", + "\\item 0.151761360446832\n", + "\\item 0.190001387437247\n", + "\\item 0.301866929948414\n", + "\\item 0.240225649368484\n", + "\\item 0.356488468378446\n", + "\\item 0.25275083682302\n", + "\\item 0.183517278670801\n", + "\\item 0.230155582196402\n", + "\\item 0.370847483786551\n", + "\\item 0.244938455732634\n", + "\\item 0.323378399115197\n", + "\\item 0.276723926311855\n", + "\\item 0.228180101657322\n", + "\\item 0.383486028031045\n", + "\\item 0.230606661570898\n", + "\\item 0.412676028371663\n", + "\\item 0.373489086671371\n", + "\\item 0.075554050105735\n", + "\\item 0.226641278236838\n", + "\\item 0.368797299812429\n", + "\\item 0.199289677962749\n", + "\\item 0.284314755228896\n", + "\\item 0.195512472764617\n", + "\\item 0.168173563103484\n", + "\\item 0.298087434204733\n", + "\\item 0.233681932946835\n", + "\\item 0.22603210396586\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 0.223811652409632\n", + "\\item 0.17706257561082\n", + "\\item 0.208013448617459\n", + "\\item 0.257579976965851\n", + "\\item 0.332750044177974\n", + "\\item 0.217173834903771\n", + "\\item 0.306208453479183\n", + "\\item 0.278170485957438\n", + "\\item 0.267544221369837\n", + "\\item 0.221903865910863\n", + "\\item 0.199482682026184\n", + "\\item 0.22920458053661\n", + "\\item 0.237166074456802\n", + "\\item 0.241178288919439\n", + "\\item 0.220017510288363\n", + "\\item 0.298632667664047\n", + "\\item 0.266545672294022\n", + "\\item 0.177029466812483\n", + "\\item 0.378996753544044\n", + "\\item 0.168834188651539\n", + "\\item 0.231301963429972\n", + "\\item 0.239095564418328\n", + "\\item 0.311721246010085\n", + "\\item 0.195508046125284\n", + "\\item 0.145309335918298\n", + "\\item 0.290081620083733\n", + "\\item 0.359778934990173\n", + "\\item 0.246948614548908\n", + "\\item 0.146167324434938\n", + "\\item 0.174655821033412\n", + "\\item 0.355328705018731\n", + "\\item 0.182018635767327\n", + "\\item 0.295398909019669\n", + "\\item 0.214349607619244\n", + "\\item 0.209036650408953\n", + "\\item 0.268145719733204\n", + "\\item 0.356327144683288\n", + "\\item 0.297995229113355\n", + "\\item 0.247811442145672\n", + "\\item 0.318419318849441\n", + "\\item 0.188922178218293\n", + "\\item 0.18698006825722\n", + "\\item 0.207502551067644\n", + "\\item 0.250842780369357\n", + "\\item 0.208147498884254\n", + "\\item 0.388218367304228\n", + "\\item 0.271407079342014\n", + "\\item 0.223266857857688\n", + "\\item 0.267513636936681\n", + "\\item 0.241659651634216\n", + "\\item 0.334079132487266\n", + "\\item 0.266498009421221\n", + "\\item 0.234426579499263\n", + "\\item 0.17383573484163\n", + "\\item 0.231574748055295\n", + "\\item 0.307345565072339\n", + "\\item 0.202288073816103\n", + "\\item 0.357218284218915\n", + "\\item 0.24524442865068\n", + "\\item 0.126763340656499\n", + "\\item 0.153449430865244\n", + "\\item 0.188621140355418\n", + "\\item 0.333941910638438\n", + "\\item 0.353542881380363\n", + "\\item 0.256393540351436\n", + "\\item 0.202254876416113\n", + "\\item 0.355037117153195\n", + "\\item 0.306905000669833\n", + "\\item 0.247454760018999\n", + "\\item 0.256061574609308\n", + "\\item 0.275852594551792\n", + "\\item 0.359418231639369\n", + "\\item 0.336173005333829\n", + "\\item 0.169941661763454\n", + "\\item 0.315669773137292\n", + "\\item 0.118090482069099\n", + "\\item 0.331061542182552\n", + "\\item 0.167256740134581\n", + "\\item 0.280151744394222\n", + "\\item 0.209618391419788\n", + "\\item 0.170266610476266\n", + "\\item 0.247427018072232\n", + "\\item 0.22628081503928\n", + "\\item 0.241961930159679\n", + "\\item 0.303169046802566\n", + "\\item 0.246059070866476\n", + "\\item 0.176196437605512\n", + "\\item 0.360245214213166\n", + "\\item 0.22616121381595\n", + "\\item 0.329729180939518\n", + "\\item 0.329376903151417\n", + "\\item 0.265260537289322\n", + "\\item 0.215912955596784\n", + "\\item 0.225801351543041\n", + "\\item 0.257819711151828\n", + "\\item 0.191613270976346\n", + "\\item 0.311387557720926\n", + "\\item 0.38469172303452\n", + "\\item 0.442739222039054\n", + "\\item 0.291597859465467\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 0.328799539534941\n", + "\\item 0.311258385301582\n", + "\\item 0.279031541287643\n", + "\\item 0.327401865817716\n", + "\\item 0.271514060791834\n", + "\\item 0.245525709070686\n", + "\\item 0.300434898587766\n", + "\\item 0.286356260681623\n", + "\\item 0.214580882036067\n", + "\\item 0.518947077108664\n", + "\\item 0.353728886830209\n", + "\\item 0.285814099998437\n", + "\\item 0.231322348576057\n", + "\\item 0.265611922758645\n", + "\\item 0.200467855651294\n", + "\\item 0.214830958877281\n", + "\\item 0.199477292116776\n", + "\\item 0.194032480533056\n", + "\\item 0.332876804727138\n", + "\\item 0.488712711669087\n", + "\\item 0.232878728557297\n", + "\\item 0.373134493908676\n", + "\\item 0.13815493436104\n", + "\\item 0.226912472895871\n", + "\\item 0.274178765675912\n", + "\\item 0.246676463021288\n", + "\\item 0.177557377105249\n", + "\\item 0.264187916652239\n", + "\\item 0.180342333114727\n", + "\\item 0.164382965261273\n", + "\\item 0.173064405175435\n", + "\\item 0.305533988162159\n", + "\\item 0.391526605476995\n", + "\\item 0.321541922451926\n", + "\\item 0.244802355355896\n", + "\\item 0.384991558429324\n", + "\\item 0.454855499334977\n", + "\\item 0.298712184540093\n", + "\\item 0.176428455232451\n", + "\\item 0.264892360540608\n", + "\\item 0.189169458680109\n", + "\\item 0.131253619219548\n", + "\\item 0.356400357865384\n", + "\\item 0.0922335418999422\n", + "\\item 0.311798285267537\n", + "\\item 0.255289851134661\n", + "\\item 0.158887831706172\n", + "\\item 0.220973095417805\n", + "\\item 0.309908573114664\n", + "\\item 0.31346765095241\n", + "\\item 0.193146961636895\n", + "\\item 0.210001201018288\n", + "\\item 0.162130602542609\n", + "\\item 0.282073400536557\n", + "\\item 0.339102901349757\n", + "\\item 0.192788671830266\n", + "\\item 0.295962941000936\n", + "\\item 0.24671237514407\n", + "\\item 0.308144353088713\n", + "\\item 0.30295074420948\n", + "\\item 0.414893398915279\n", + "\\item 0.420695115345631\n", + "\\item 0.411549343064427\n", + "\\item 0.346624166643242\n", + "\\item 0.373779279202248\n", + "\\item 0.0458676017940797\n", + "\\item 0.334794908447047\n", + "\\item 0.0952160354196661\n", + "\\item 0.320463886002753\n", + "\\item 0.342744138626126\n", + "\\item 0.282216590546686\n", + "\\item 0.128150734828998\n", + "\\item 0.209230327395585\n", + "\\item 0.354117634585879\n", + "\\item 0.332245998030239\n", + "\\item 0.297415542124965\n", + "\\item 0.316902792810677\n", + "\\item 0.18409562486037\n", + "\\item 0.321634578884545\n", + "\\item 0.198493076194524\n", + "\\item 0.220578947058513\n", + "\\item 0.31376839982512\n", + "\\item 0.315306122557694\n", + "\\item 0.264416177200492\n", + "\\item 0.283729854342569\n", + "\\item 0.27893579448839\n", + "\\item 0.234631930223981\n", + "\\item 0.264356746826502\n", + "\\item 0.294119603079839\n", + "\\item 0.186903425821314\n", + "\\item 0.438667586467815\n", + "\\item 0.236796506506316\n", + "\\item 0.277868083209513\n", + "\\item 0.271281028185435\n", + "\\item 0.213153780904203\n", + "\\item 0.26018606108068\n", + "\\item 0.481805434344623\n", + "\\item 0.368269044283366\n", + "\\item 0.31683464647699\n", + "\\item 0.251216961947437\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 0.335624499004686\n", + "\\item 0.276507528174772\n", + "\\item 0.247484275420365\n", + "\\item 0.243544047143477\n", + "\\item 0.125211394484882\n", + "\\item 0.155539007977785\n", + "\\item 0.388945251393666\n", + "\\item 0.22664078208619\n", + "\\item 0.235147594770917\n", + "\\item 0.285293093306286\n", + "\\item 0.123469454541351\n", + "\\item 0.136366021173616\n", + "\\item 0.279046702403554\n", + "\\item 0.37993023115221\n", + "\\item 0.182395944642176\n", + "\\item 0.251376457829156\n", + "\\item 0.415319435427867\n", + "\\item 0.11587192049102\n", + "\\item 0.18738235307904\n", + "\\item 0.218931737429356\n", + "\\item 0.284248303417286\n", + "\\item 0.280452097081864\n", + "\\item 0.289764901783825\n", + "\\item 0.254140314902985\n", + "\\item 0.254209901802846\n", + "\\item 0.26825742734879\n", + "\\item 0.190613862929198\n", + "\\item 0.186910492207608\n", + "\\item 0.235522498701664\n", + "\\item 0.229576668524393\n", + "\\item 0.246515725784641\n", + "\\item 0.149165571718873\n", + "\\item 0.272787301273919\n", + "\\item 0.282628821339836\n", + "\\item 0.246004320782957\n", + "\\item 0.235503106415727\n", + "\\item 0.198806762761557\n", + "\\item 0.389976739888094\n", + "\\item 0.203821970473538\n", + "\\item 0.300671534526224\n", + "\\item 0.234759820565768\n", + "\\item 0.142602920370966\n", + "\\item 0.264366413367186\n", + "\\item 0.194848478525321\n", + "\\item 0.303434361827909\n", + "\\item 0.343186423682173\n", + "\\item 0.235281183157062\n", + "\\item 0.321939657621275\n", + "\\item 0.168508550170808\n", + "\\item 0.444828538004837\n", + "\\item 0.359829869336222\n", + "\\item 0.222119106495734\n", + "\\item 0.218717258293778\n", + "\\item 0.358660963208697\n", + "\\item 0.240460656571942\n", + "\\item 0.193354462921682\n", + "\\item 0.310687767114644\n", + "\\item 0.169202346963082\n", + "\\item 0.129864544765584\n", + "\\item 0.359941045555955\n", + "\\item 0.133453844146796\n", + "\\item 0.18910736094445\n", + "\\item 0.248491471271189\n", + "\\item 0.339380156438347\n", + "\\item 0.112807259531421\n", + "\\item 0.254391286029775\n", + "\\item 0.234294933768135\n", + "\\item 0.17745510007295\n", + "\\item 0.157799435462276\n", + "\\item 0.275378791518416\n", + "\\item 0.21411584133254\n", + "\\item 0.157128285674417\n", + "\\item 0.253912945405569\n", + "\\item 0.374555450773442\n", + "\\item 0.384794016097683\n", + "\\item 0.118855609906658\n", + "\\item 0.230036432529187\n", + "\\item 0.163079550175788\n", + "\\item 0.317276235560837\n", + "\\item 0.312619613333257\n", + "\\item 0.188058309421737\n", + "\\item 0.121338000075729\n", + "\\item 0.346365607383509\n", + "\\item 0.213904692622192\n", + "\\item 0.238569449346798\n", + "\\item 0.303488688795934\n", + "\\item 0.129597258761476\n", + "\\item 0.289226058603866\n", + "\\item 0.193508091099693\n", + "\\item 0.162309813036291\n", + "\\item 0.206460976936764\n", + "\\item 0.37176771325252\n", + "\\item 0.30816024630156\n", + "\\item 0.256431948472439\n", + "\\item 0.198891753220893\n", + "\\item 0.34715855110566\n", + "\\item 0.2092513685551\n", + "\\item 0.0629878853612639\n", + "\\item 0.154835589644852\n", + "\\item 0.219148260280039\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 0.307011578140876\n", + "\\item 0.247126617764868\n", + "\\item 0.326093309051089\n", + "\\item 0.232384347560885\n", + "\\item 0.170395057994467\n", + "\\item 0.162061424761817\n", + "\\item 0.357323961250855\n", + "\\item 0.153345472942564\n", + "\\item 0.117148930793153\n", + "\\item 0.175105550876995\n", + "\\item 0.107501453436276\n", + "\\item 0.130541732489938\n", + "\\item 0.242884720655619\n", + "\\item 0.145541419940026\n", + "\\item 0.210433941254126\n", + "\\item 0.350894777843126\n", + "\\item 0.185170958505233\n", + "\\item 0.320546483954991\n", + "\\item 0.292975325466927\n", + "\\item 0.263003050137054\n", + "\\item 0.296677736572817\n", + "\\item 0.203787587264525\n", + "\\item 0.133761317492994\n", + "\\item 0.26787450903326\n", + "\\item 0.291597837684282\n", + "\\item 0.316808353666331\n", + "\\item 0.326320450414095\n", + "\\item 0.277374603194908\n", + "\\item 0.279413554945542\n", + "\\item 0.275835694017222\n", + "\\item 0.119030722719587\n", + "\\item 0.15355743137187\n", + "\\item 0.202516531519068\n", + "\\item 0.195336124691534\n", + "\\item 0.347282953766069\n", + "\\item 0.260366403292897\n", + "\\item 0.301929761720545\n", + "\\item 0.367920795534806\n", + "\\item 0.116551962728233\n", + "\\item 0.352829571285032\n", + "\\item 0.279421362049579\n", + "\\item 0.255174481767557\n", + "\\item 0.171545989433998\n", + "\\item 0.204922448405879\n", + "\\item 0.243131290247945\n", + "\\item 0.229745848882457\n", + "\\item 0.24848892592423\n", + "\\item 0.184458055230616\n", + "\\item 0.211606310616581\n", + "\\item 0.255078957480561\n", + "\\item 0.214852005572883\n", + "\\item 0.191367467268405\n", + "\\item 0.324718193988125\n", + "\\item 0.26781481361376\n", + "\\item 0.201213958147191\n", + "\\item 0.345731097124428\n", + "\\item 0.288254905731331\n", + "\\item 0.148995305515991\n", + "\\item 0.295715345364474\n", + "\\item 0.377941002746424\n", + "\\item 0.245022049105194\n", + "\\item 0.320362787418967\n", + "\\item 0.319535756812361\n", + "\\item 0.286207810205898\n", + "\\item 0.289521467719913\n", + "\\item 0.345526926058185\n", + "\\item 0.255506641240531\n", + "\\item 0.265254907676873\n", + "\\item 0.454381344937878\n", + "\\item 0.26864311578841\n", + "\\item 0.336983425492243\n", + "\\item 0.285892773403315\n", + "\\item 0.274446430701992\n", + "\\item 0.285946009283351\n", + "\\item 0.247331705907812\n", + "\\item 0.216236468056147\n", + "\\item 0.252565268912719\n", + "\\item 0.223076423843719\n", + "\\item 0.212889606157784\n", + "\\item 0.24578925359996\n", + "\\item 0.24400968288244\n", + "\\item 0.181747489039017\n", + "\\item 0.261773330371168\n", + "\\item 0.303162768093332\n", + "\\item 0.414253593339142\n", + "\\item 0.193793096314147\n", + "\\item 0.270006384151706\n", + "\\item 0.120346943934334\n", + "\\item 0.215893408174673\n", + "\\item 0.244032520707873\n", + "\\item 0.12537181664141\n", + "\\item 0.281004830111259\n", + "\\item 0.284482367640226\n", + "\\item 0.2479291511924\n", + "\\item 0.367291721596335\n", + "\\item 0.366113757470161\n", + "\\item 0.146306639795439\n", + "\\item 0.213696142309501\n", + "\\item 0.155677288451147\n", + "\\item 0.13952327830963\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 0.214594015105842\n", + "\\item 0.272309054017158\n", + "\\item 0.33328629725394\n", + "\\item 0.25542411079311\n", + "\\item 0.193385249905398\n", + "\\item 0.28138368680332\n", + "\\item 0.144682635212553\n", + "\\item 0.312360488863462\n", + "\\item 0.229709182554863\n", + "\\item 0.229667174825869\n", + "\\item 0.293296055570693\n", + "\\item 0.221698750847299\n", + "\\item 0.221456161895263\n", + "\\item 0.182454862840971\n", + "\\item 0.231919987265921\n", + "\\item 0.27988577765244\n", + "\\item 0.139211047807287\n", + "\\item 0.235514388901429\n", + "\\item 0.266744975001519\n", + "\\item 0.305396086679012\n", + "\\item 0.258162128090748\n", + "\\item 0.233759392157344\n", + "\\item 0.15828478166073\n", + "\\item 0.318132475242142\n", + "\\item 0.222706456324927\n", + "\\item 0.215881392255863\n", + "\\item 0.201040338760536\n", + "\\item 0.265645069718683\n", + "\\item 0.183400617846493\n", + "\\item 0.235284787310396\n", + "\\item 0.24360711361491\n", + "\\item 0.175564577337992\n", + "\\item 0.198936656731615\n", + "\\item 0.333600945196905\n", + "\\item 0.243308459816632\n", + "\\item 0.310291753681639\n", + "\\item 0.253940000668723\n", + "\\item 0.140157649132963\n", + "\\item 0.20950916126587\n", + "\\item 0.281008943568496\n", + "\\item 0.308948986901599\n", + "\\item 0.204367673736938\n", + "\\item 0.311468727828117\n", + "\\item 0.269109743422241\n", + "\\item 0.256898667090889\n", + "\\item 0.297383955080447\n", + "\\item 0.222412892508161\n", + "\\item 0.288543844815039\n", + "\\item 0.181977710030682\n", + "\\item 0.278619289020006\n", + "\\item 0.187359392544213\n", + "\\item 0.191063305161793\n", + "\\item 0.245037573859063\n", + "\\item 0.219677148426203\n", + "\\item 0.256916715473143\n", + "\\item 0.26560536939075\n", + "\\item 0.289220931436238\n", + "\\item 0.219426663579928\n", + "\\item 0.138596172555657\n", + "\\item 0.357679976207289\n", + "\\item 0.369778941325666\n", + "\\item 0.122517239659106\n", + "\\item 0.375844889576194\n", + "\\item 0.242028586762295\n", + "\\item 0.29641840199662\n", + "\\item 0.239927116966654\n", + "\\item 0.199083380086134\n", + "\\item 0.215522537583702\n", + "\\item 0.34627731692084\n", + "\\item 0.177852450515544\n", + "\\item 0.304093671538908\n", + "\\item 0.348447363673011\n", + "\\item 0.311225851979065\n", + "\\item 0.269115763468454\n", + "\\item 0.190950216753975\n", + "\\item 0.263288200033424\n", + "\\item 0.189713220356327\n", + "\\item 0.251766137200942\n", + "\\item 0.305512180197173\n", + "\\item 0.207518578358071\n", + "\\item 0.263139223419691\n", + "\\item 0.12802442832991\n", + "\\item 0.224456782345072\n", + "\\item 0.347376871599191\n", + "\\item 0.405402433888013\n", + "\\item 0.320188509631507\n", + "\\item 0.0931804817389349\n", + "\\item 0.174307836991629\n", + "\\item 0.272356191634485\n", + "\\item 0.206608670815096\n", + "\\item 0.298265243210718\n", + "\\item 0.167268999327687\n", + "\\item 0.231034508643898\n", + "\\item 0.28407681804075\n", + "\\item 0.365560238230653\n", + "\\item 0.206363823135632\n", + "\\item 0.293992953847107\n", + "\\item 0.184360300577684\n", + "\\item 0.153545993137451\n", + "\\item 0.251540899386441\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 0.285324593748956\n", + "\\item 0.339769173161746\n", + "\\item 0.448923882206329\n", + "\\item 0.330342640522518\n", + "\\item 0.386067843954805\n", + "\\item 0.321440925492579\n", + "\\item 0.228663786237397\n", + "\\item 0.213805776440775\n", + "\\item 0.153929361235671\n", + "\\item 0.293287810219929\n", + "\\item 0.279107532441732\n", + "\\item 0.261683170709992\n", + "\\item 0.299800173806927\n", + "\\item 0.330043736327306\n", + "\\item 0.288751339668678\n", + "\\item 0.306046495706556\n", + "\\item 0.139289823281255\n", + "\\item 0.247730453505291\n", + "\\item 0.275780730931561\n", + "\\item 0.286111097910097\n", + "\\item 0.213649636837235\n", + "\\item 0.172830171527646\n", + "\\item 0.205093256438191\n", + "\\item 0.381021337101314\n", + "\\item 0.285574330828365\n", + "\\item 0.236489668584281\n", + "\\item 0.30840049167817\n", + "\\item 0.353878656352121\n", + "\\item 0.210141864082487\n", + "\\item 0.249616608776326\n", + "\\item 0.199213570685865\n", + "\\item 0.254920077177454\n", + "\\item 0.316935358311345\n", + "\\item 0.401476235671357\n", + "\\item 0.219881967426802\n", + "\\item 0.270437788169097\n", + "\\item 0.317433775799253\n", + "\\item 0.377995291836942\n", + "\\item 0.347197315493199\n", + "\\item 0.309986479571436\n", + "\\item 0.24189979614256\n", + "\\item 0.2607518666368\n", + "\\item 0.218646082616991\n", + "\\item 0.237287241710457\n", + "\\item 0.318737246511056\n", + "\\item 0.262607161119833\n", + "\\item 0.395216588378588\n", + "\\item 0.396210812289955\n", + "\\item 0.360313115342971\n", + "\\item 0.373945994531061\n", + "\\item 0.263484372918908\n", + "\\item 0.153972313214477\n", + "\\item 0.272631919142055\n", + "\\item 0.429395469949064\n", + "\\item 0.194668475343588\n", + "\\item 0.364628910868643\n", + "\\item 0.27247159236878\n", + "\\item 0.303925250185699\n", + "\\item 0.296396060645741\n", + "\\item 0.153097207018102\n", + "\\item 0.161804879006908\n", + "\\item 0.340775731902106\n", + "\\item 0.310090855995242\n", + "\\item 0.323453314802685\n", + "\\item 0.23525202095262\n", + "\\item 0.345610406245077\n", + "\\item 0.33264841797283\n", + "\\item 0.324549883215056\n", + "\\item 0.424578544041776\n", + "\\item 0.237139677595135\n", + "\\item 0.206295671972973\n", + "\\item 0.170014285667471\n", + "\\item 0.371384221064901\n", + "\\item 0.194923911347225\n", + "\\item 0.27851372103396\n", + "\\item 0.302780845579363\n", + "\\item 0.0997502367962773\n", + "\\item 0.25466755080367\n", + "\\item 0.365082246764125\n", + "\\item 0.298439960681222\n", + "\\item 0.198823127216174\n", + "\\item 0.232681072408868\n", + "\\item 0.251537410737476\n", + "\\item 0.261982577593934\n", + "\\item 0.360005300020725\n", + "\\item 0.135962035509941\n", + "\\item 0.394125573294391\n", + "\\item 0.258026761000666\n", + "\\item 0.203856551002356\n", + "\\item 0.149441199921302\n", + "\\item 0.204441794974694\n", + "\\item 0.178409205775485\n", + "\\item 0.181104541739412\n", + "\\item 0.113468548979138\n", + "\\item 0.208685724610949\n", + "\\item 0.309522730280684\n", + "\\item 0.296700149471657\n", + "\\item 0.135751311877605\n", + "\\item 0.331225569854133\n", + "\\item 0.166365706842511\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 0.219150042476114\n", + "\\item 0.130375248176435\n", + "\\item 0.238273467480838\n", + "\\item 0.336298690787974\n", + "\\item 0.297217220161187\n", + "\\item 0.428120281096857\n", + "\\item 0.331417395855934\n", + "\\item 0.125543949634691\n", + "\\item 0.232315702181488\n", + "\\item 0.326732741170002\n", + "\\item 0.319276761507925\n", + "\\item 0.166276264487519\n", + "\\item 0.222264953117147\n", + "\\item 0.360317889463829\n", + "\\item 0.266002806817958\n", + "\\item 0.221049538123594\n", + "\\item 0.246387612774264\n", + "\\item 0.292956194713765\n", + "\\item 0.245925845042934\n", + "\\item 0.204458268521716\n", + "\\item 0.283647440024525\n", + "\\item 0.240813650694554\n", + "\\item 0.266371777095817\n", + "\\item 0.268519258225598\n", + "\\item 0.378773647175187\n", + "\\item 0.250480173440862\n", + "\\item 0.141461039775608\n", + "\\item 0.147697560938495\n", + "\\item 0.295134011665325\n", + "\\item 0.221711990907837\n", + "\\item 0.219715492211361\n", + "\\item 0.126473275026553\n", + "\\item 0.27852622560826\n", + "\\item 0.233936099384723\n", + "\\item 0.214123729030146\n", + "\\item 0.293521408198852\n", + "\\item 0.19429540890259\n", + "\\item 0.1205029631041\n", + "\\item 0.176811977708728\n", + "\\item 0.332402897870148\n", + "\\item 0.206429467088254\n", + "\\item 0.211116451988874\n", + "\\item 0.120316867437142\n", + "\\item 0.175678458630797\n", + "\\item 0.260420123898624\n", + "\\item 0.344328299333178\n", + "\\item 0.255318774089804\n", + "\\item 0.185220245414355\n", + "\\item 0.246460621480647\n", + "\\item 0.173201879315594\n", + "\\item 0.233493616699813\n", + "\\item 0.167348478252144\n", + "\\item 0.283940860663804\n", + "\\item 0.261788530087788\n", + "\\item 0.295979456896876\n", + "\\item 0.104937846329079\n", + "\\item 0.207946366772665\n", + "\\item 0.311835726326596\n", + "\\item 0.212463001988852\n", + "\\item 0.17991843808069\n", + "\\item 0.262222439935158\n", + "\\item 0.186211269984139\n", + "\\item 0.24155905588528\n", + "\\item 0.243351820137158\n", + "\\item 0.163042395849641\n", + "\\item 0.338866106299898\n", + "\\item 0.180333918359426\n", + "\\item 0.250422828935\n", + "\\item 0.181055314505627\n", + "\\item 0.229004095705936\n", + "\\item 0.226663999295565\n", + "\\item 0.212321148385827\n", + "\\item 0.236996271295341\n", + "\\item 0.244180915151191\n", + "\\item 0.296386566480691\n", + "\\item 0.418766377187413\n", + "\\item 0.307652000837535\n", + "\\item 0.174416535395786\n", + "\\item 0.285284720437704\n", + "\\item 0.152502469013376\n", + "\\item 0.357230384007284\n", + "\\item 0.305850891083561\n", + "\\item 0.307272013525919\n", + "\\item 0.237873620930737\n", + "\\item 0.341003842486079\n", + "\\item 0.217073716837695\n", + "\\item 0.238722765431304\n", + "\\item 0.167604621021588\n", + "\\item 0.4564511671049\n", + "\\item 0.172161279719212\n", + "\\item 0.301379452437665\n", + "\\item 0.283681295904562\n", + "\\item 0.261056845191068\n", + "\\item 0.150658497688697\n", + "\\item 0.209037419161714\n", + "\\item 0.148040616217408\n", + "\\item 0.268188269339319\n", + "\\item 0.171116584721391\n", + "\\item 0.109262016999449\n", + "\\item 0.106835301722698\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 0.342175594959077\n", + "\\item 0.329266296551701\n", + "\\item 0.371975320003693\n", + "\\item 0.334918463354589\n", + "\\item 0.144861940575044\n", + "\\item 0.346834431793328\n", + "\\item 0.166255339882532\n", + "\\item 0.237974723663867\n", + "\\item 0.138875769119849\n", + "\\item 0.32538192728673\n", + "\\item 0.261179521739652\n", + "\\item 0.229312411353188\n", + "\\item 0.21056698200539\n", + "\\item 0.130646321748772\n", + "\\item 0.190358945169469\n", + "\\item 0.300429081166087\n", + "\\item 0.364908035907957\n", + "\\item 0.186635213677815\n", + "\\item 0.28042367893273\n", + "\\item 0.301161199156585\n", + "\\item 0.304298153308636\n", + "\\item 0.257749484878669\n", + "\\item 0.331376949970992\n", + "\\item 0.181889931300587\n", + "\\item 0.304742360483794\n", + "\\item 0.261091692505914\n", + "\\item 0.412546407072712\n", + "\\item 0.265017755630095\n", + "\\item 0.32064306913323\n", + "\\item 0.309842489742922\n", + "\\item 0.236205406653952\n", + "\\item 0.271837541299908\n", + "\\item 0.400044166459602\n", + "\\item 0.253395349904247\n", + "\\item 0.443846633966924\n", + "\\item 0.0946129562488496\n", + "\\item 0.157524329382298\n", + "\\item 0.228704742885402\n", + "\\item 0.209794815257291\n", + "\\item 0.249692623139209\n", + "\\item 0.31666176830303\n", + "\\item 0.240439476476206\n", + "\\item 0.346520459272503\n", + "\\item 0.36172059555202\n", + "\\item 0.174962069102944\n", + "\\item 0.301588491248676\n", + "\\item 0.162089809591576\n", + "\\item 0.296456362405984\n", + "\\item 0.235701257272428\n", + "\\item 0.281021378745735\n", + "\\item 0.303396908750707\n", + "\\item 0.191821006575444\n", + "\\item 0.257499972427468\n", + "\\item 0.152974547934961\n", + "\\item 0.273946981284252\n", + "\\item 0.174820325434562\n", + "\\item 0.361801967498823\n", + "\\item 0.256386703695457\n", + "\\item 0.231139781644536\n", + "\\item 0.173996386789984\n", + "\\item 0.199627174217115\n", + "\\item 0.320356324907713\n", + "\\item 0.236572631303533\n", + "\\item 0.167137438309505\n", + "\\item 0.285549238760414\n", + "\\item 0.225099968426707\n", + "\\item 0.0977558810193997\n", + "\\item 0.212298569784974\n", + "\\item 0.448969545803796\n", + "\\item 0.171940128849604\n", + "\\item 0.227662069332035\n", + "\\item 0.33143852354028\n", + "\\item 0.249423713401938\n", + "\\item 0.331617577540913\n", + "\\item 0.274238520322044\n", + "\\item 0.29308211454617\n", + "\\item 0.377179514940498\n", + "\\item 0.219055730451542\n", + "\\item 0.219646519049387\n", + "\\item 0.314636178879286\n", + "\\item 0.344898933252442\n", + "\\item 0.219412782637317\n", + "\\item 0.183740336473991\n", + "\\item 0.199322856138639\n", + "\\item 0.135805726430609\n", + "\\item 0.293098144780095\n", + "\\item 0.326103425341931\n", + "\\item 0.321104122209378\n", + "\\item 0.385332383847265\n", + "\\item 0.251887131012913\n", + "\\item 0.314754182707506\n", + "\\item 0.228227358025034\n", + "\\item 0.281734078524957\n", + "\\item 0.144768002954308\n", + "\\item 0.161216270910547\n", + "\\item 0.190856298064762\n", + "\\item 0.425232015840684\n", + "\\item 0.211269805841804\n", + "\\item 0.428657252768149\n", + "\\item 0.283862630978471\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 0.354808023780304\n", + "\\item 0.305379569639103\n", + "\\item 0.291761037290803\n", + "\\item 0.132602294650617\n", + "\\item 0.291999753712489\n", + "\\item 0.157805391308795\n", + "\\item 0.137799156045922\n", + "\\item 0.401764258423891\n", + "\\item 0.261851732467694\n", + "\\item 0.302514681352627\n", + "\\item 0.260268294266717\n", + "\\item 0.205825237815016\n", + "\\item 0.162559389172913\n", + "\\item 0.414403323848102\n", + "\\item 0.293430785424533\n", + "\\item 0.264751386373448\n", + "\\item 0.305105120614522\n", + "\\item 0.27690947276223\n", + "\\item 0.170837401831153\n", + "\\item 0.169818531178646\n", + "\\item 0.206384842328909\n", + "\\item 0.365458275607701\n", + "\\item 0.406037694623145\n", + "\\item 0.172745608328193\n", + "\\item 0.0923033360413353\n", + "\\item 0.24971205175476\n", + "\\item 0.359070345709124\n", + "\\item 0.153991864040238\n", + "\\item 0.328738263693383\n", + "\\item 0.32073353610641\n", + "\\item 0.210673898493234\n", + "\\item 0.415927102946402\n", + "\\item 0.350831401963657\n", + "\\item 0.351453389455699\n", + "\\item 0.376865058237686\n", + "\\item 0.154818917394373\n", + "\\item 0.147117169696679\n", + "\\item 0.249896963997002\n", + "\\item 0.17198844453671\n", + "\\item 0.195008565882825\n", + "\\item 0.175924691356306\n", + "\\item 0.29408523491376\n", + "\\item 0.42526640470589\n", + "\\item 0.275483895282418\n", + "\\item 0.263730418859313\n", + "\\item 0.419109578868339\n", + "\\item 0.167662679402953\n", + "\\item 0.292413454557259\n", + "\\item 0.170844028637567\n", + "\\item 0.339152614081912\n", + "\\item 0.314153281611284\n", + "\\item 0.351250904994231\n", + "\\item 0.311680475413339\n", + "\\item 0.171485007092931\n", + "\\item 0.376227915231265\n", + "\\item 0.2452047991136\n", + "\\item 0.337561996940175\n", + "\\item 0.254322331406182\n", + "\\item 0.287758521942025\n", + "\\item 0.260316545138295\n", + "\\item 0.287577980315114\n", + "\\item 0.253913750017965\n", + "\\item 0.256062341516804\n", + "\\item 0.325935939856675\n", + "\\item 0.160756484960382\n", + "\\item 0.126985577610381\n", + "\\item 0.258905276958854\n", + "\\item 0.270691535412953\n", + "\\item 0.410759372877381\n", + "\\item 0.246829329917392\n", + "\\item 0.272685170254784\n", + "\\item 0.165751289745174\n", + "\\item 0.380200180351088\n", + "\\item 0.261582166163685\n", + "\\item 0.31789235769828\n", + "\\item 0.199054292691837\n", + "\\item 0.454556460361519\n", + "\\item 0.182873359325748\n", + "\\item 0.396009367915423\n", + "\\item 0.298501387729659\n", + "\\item 0.150962766302496\n", + "\\item 0.249966413178638\n", + "\\item 0.350267707339117\n", + "\\item 0.13369392919324\n", + "\\item 0.28614410135068\n", + "\\item 0.276603947494522\n", + "\\item 0.217010638035914\n", + "\\item 0.206482057044454\n", + "\\item 0.30716465506401\n", + "\\item 0.248375859761549\n", + "\\item 0.405370519309773\n", + "\\item 0.389751781457552\n", + "\\item 0.315755719230724\n", + "\\item 0.26352881825733\n", + "\\item 0.358226991299484\n", + "\\item 0.163482950596867\n", + "\\item 0.272405288751224\n", + "\\item 0.212572666449977\n", + "\\item 0.280898255813291\n", + "\\item 0.460382365978703\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 0.358424851298476\n", + "\\item 0.378133410552466\n", + "\\item 0.399609733306319\n", + "\\item 0.295072860251742\n", + "\\item 0.251752098706267\n", + "\\item 0.325875059352443\n", + "\\item 0.411594426000204\n", + "\\item 0.357562326861973\n", + "\\item 0.390429770585934\n", + "\\item 0.228234966805952\n", + "\\item 0.271563072112248\n", + "\\item 0.418523471450772\n", + "\\item 0.336031589438075\n", + "\\item 0.429557111697334\n", + "\\item 0.247304555405166\n", + "\\item 0.573306863374047\n", + "\\item 0.348760761601925\n", + "\\item 0.208368678816095\n", + "\\item 0.215854856531181\n", + "\\item 0.396962396460451\n", + "\\item 0.22320760884207\n", + "\\item 0.463762172072577\n", + "\\item 0.205478549910386\n", + "\\item 0.340667319147652\n", + "\\item 0.257044751260839\n", + "\\item 0.213722447076511\n", + "\\item 0.379854834470305\n", + "\\item 0.248810007852155\n", + "\\item 0.102653440035144\n", + "\\item 0.392984974190865\n", + "\\item 0.251430968000444\n", + "\\item 0.44518903713767\n", + "\\item 0.348055801802143\n", + "\\item 0.267105390509539\n", + "\\item 0.294326995404482\n", + "\\item 0.258931990112666\n", + "\\item 0.266948728960536\n", + "\\item 0.290891421910469\n", + "\\item 0.25689221485848\n", + "\\item 0.345390122712558\n", + "\\item 0.170135491823314\n", + "\\item 0.311905882425059\n", + "\\item 0.467538193557511\n", + "\\item 0.293185341155267\n", + "\\item 0.542494575773022\n", + "\\item 0.314818452366821\n", + "\\item 0.332657784889458\n", + "\\item 0.275426204370914\n", + "\\item 0.22842819473862\n", + "\\item 0.224760543446592\n", + "\\item 0.367347470620636\n", + "\\item 0.318430640756933\n", + "\\item 0.471950211169209\n", + "\\item 0.449847792941593\n", + "\\item 0.171195265976901\n", + "\\item 0.327149360216884\n", + "\\item 0.258554418376006\n", + "\\item 0.405886819669256\n", + "\\item 0.280208595410927\n", + "\\item 0.4368181537411\n", + "\\item 0.21329692478361\n", + "\\item 0.363455315297249\n", + "\\item 0.214436635127964\n", + "\\item 0.248027159497002\n", + "\\item 0.241382511992962\n", + "\\item 0.345155284024567\n", + "\\item 0.337594556332903\n", + "\\item 0.217354359885282\n", + "\\item 0.375256857355915\n", + "\\item 0.381851727237899\n", + "\\item 0.333378254946008\n", + "\\item 0.278353568477249\n", + "\\item 0.277629351264716\n", + "\\item 0.231261691850315\n", + "\\item 0.197143091420763\n", + "\\item 0.221780138934842\n", + "\\item 0.362275162616909\n", + "\\item 0.195875262687857\n", + "\\item 0.236321408208913\n", + "\\item 0.264510721004415\n", + "\\item 0.347492099765229\n", + "\\item 0.337822361609498\n", + "\\item 0.202123431141197\n", + "\\item 0.332995109477925\n", + "\\item 0.339236060053172\n", + "\\item 0.289644195247514\n", + "\\item 0.213086322359176\n", + "\\item 0.292697010220504\n", + "\\item 0.341798092656455\n", + "\\item 0.20893097613531\n", + "\\item 0.168611186514025\n", + "\\item 0.289880668086207\n", + "\\item 0.369191305623686\n", + "\\item 0.19715518817501\n", + "\\item 0.301466212786727\n", + "\\item 0.246173596644921\n", + "\\item 0.456152663969619\n", + "\\item 0.406470902272343\n", + "\\item 0.138293096444609\n", + "\\item 0.330074620185158\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 0.268545305285998\n", + "\\item 0.252636995388647\n", + "\\item 0.225752067689231\n", + "\\item 0.305354980176963\n", + "\\item 0.170118927385808\n", + "\\item 0.31149496758424\n", + "\\item 0.38073283787163\n", + "\\item 0.513693400269537\n", + "\\item 0.229080659369141\n", + "\\item 0.455220044672574\n", + "\\item 0.414760399361119\n", + "\\item 0.470408436352542\n", + "\\item 0.318202678005421\n", + "\\item 0.286317529580759\n", + "\\item 0.311384121994569\n", + "\\item 0.360927476500308\n", + "\\item 0.194103013197104\n", + "\\item 0.31458320198495\n", + "\\item 0.257848052080415\n", + "\\item 0.238299916367524\n", + "\\item 0.287823619520062\n", + "\\item 0.221511101890121\n", + "\\item 0.292630508503012\n", + "\\item 0.37606868670683\n", + "\\item 0.368355364662846\n", + "\\item 0.307583088697541\n", + "\\item 0.332334954788722\n", + "\\item 0.26490905943103\n", + "\\item 0.304705002658037\n", + "\\item 0.298457153616394\n", + "\\item 0.22810934712661\n", + "\\item 0.209019207016761\n", + "\\item 0.181028709947072\n", + "\\item 0.193460459115936\n", + "\\item 0.30359058412425\n", + "\\item 0.297288468587863\n", + "\\item 0.226122687452131\n", + "\\item 0.180897547176407\n", + "\\item 0.284979727029148\n", + "\\item 0.211903902066365\n", + "\\item 0.291852871488326\n", + "\\item 0.286972583255243\n", + "\\item 0.224525612452826\n", + "\\item 0.297061732981297\n", + "\\item 0.410794742361251\n", + "\\item 0.457806321214461\n", + "\\item 0.388626619776742\n", + "\\item 0.386302446229269\n", + "\\item 0.255914568973434\n", + "\\item 0.224386429578575\n", + "\\item 0.239900459919054\n", + "\\item 0.36506879051492\n", + "\\item 0.25992410911641\n", + "\\item 0.262491927341901\n", + "\\item 0.327628819225754\n", + "\\item 0.139334518199293\n", + "\\item 0.402589963526743\n", + "\\item 0.160977465851096\n", + "\\item 0.259571938005284\n", + "\\item 0.265274183407783\n", + "\\item 0.475123515282327\n", + "\\item 0.281257278675327\n", + "\\item 0.328003545187053\n", + "\\item 0.24286483901975\n", + "\\item 0.407778111883519\n", + "\\item 0.427061269173871\n", + "\\item 0.263603564376382\n", + "\\item 0.52358728320757\n", + "\\item 0.162391968260574\n", + "\\item 0.435516502632466\n", + "\\item 0.208423311532097\n", + "\\item 0.244164996158324\n", + "\\item 0.29087865581847\n", + "\\item 0.287087872215705\n", + "\\item 0.428790270771006\n", + "\\item 0.161603762303461\n", + "\\item 0.245410132837599\n", + "\\item 0.248414887551707\n", + "\\item 0.328181116213321\n", + "\\item 0.285474962929126\n", + "\\item 0.276134620129046\n", + "\\item 0.245569949921226\n", + "\\item 0.363605900238322\n", + "\\item 0.291426295316041\n", + "\\item 0.397396299236718\n", + "\\item 0.292835636229436\n", + "\\item 0.155333798036727\n", + "\\item 0.0897704514400005\n", + "\\item 0.277284083625554\n", + "\\item 0.200565877127503\n", + "\\item 0.228899614490276\n", + "\\item 0.172654156973679\n", + "\\item 0.34087166667573\n", + "\\item 0.235797727797447\n", + "\\item 0.188939371425229\n", + "\\item 0.256453780937101\n", + "\\item 0.185881270555226\n", + "\\item 0.400060957794297\n", + "\\item 0.230436945627832\n", + "\\item 0.162464114604169\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 0.294126810080863\n", + "\\item 0.0281002322490525\n", + "\\item 0.143220569546073\n", + "\\item 0.139435875800683\n", + "\\item 0.162388570193603\n", + "\\item 0.268783800697138\n", + "\\item 0.304991471875899\n", + "\\item 0.316083127084548\n", + "\\item 0.255091735802363\n", + "\\item 0.217802673275333\n", + "\\item 0.233890397634403\n", + "\\item 0.32093348522635\n", + "\\item 0.240738523046071\n", + "\\item 0.305394592374714\n", + "\\item 0.252966760568403\n", + "\\item 0.278422701082288\n", + "\\item 0.156877787185765\n", + "\\item 0.24641152102172\n", + "\\item 0.308634013785087\n", + "\\item 0.166303221534755\n", + "\\item 0.302253674326169\n", + "\\item 0.310906500162549\n", + "\\item 0.238399186466979\n", + "\\item 0.204830011366026\n", + "\\item 0.298095310744557\n", + "\\item 0.285318720142954\n", + "\\item 0.23459070332293\n", + "\\item 0.377840884334884\n", + "\\item 0.393740056541076\n", + "\\item 0.126084702624542\n", + "\\item 0.278870257158621\n", + "\\item 0.282918063629403\n", + "\\item 0.254621821430138\n", + "\\item 0.359386123616229\n", + "\\item 0.174040606914627\n", + "\\item 0.400954414859173\n", + "\\item 0.329403584556317\n", + "\\item 0.208868764643964\n", + "\\item 0.324510600806227\n", + "\\item 0.234153453512942\n", + "\\item 0.203701274363157\n", + "\\item 0.32172142802197\n", + "\\item 0.147826323070258\n", + "\\item 0.229107735837408\n", + "\\item 0.29274987414466\n", + "\\item 0.282466453462775\n", + "\\item 0.167822401382517\n", + "\\item 0.388677927423499\n", + "\\item 0.219972174700804\n", + "\\item 0.106283819790271\n", + "\\item 0.28054629888341\n", + "\\item 0.10803794777186\n", + "\\item 0.323883056824559\n", + "\\item 0.230185156438532\n", + "\\item 0.113024737946109\n", + "\\item 0.217462368363993\n", + "\\item 0.249297447543562\n", + "\\item 0.0672603555353325\n", + "\\item 0.348753288102927\n", + "\\item 0.426442086220764\n", + "\\item 0.184544750608467\n", + "\\item 0.383759169288367\n", + "\\item 0.139903669559866\n", + "\\item 0.20122406470669\n", + "\\item 0.315416663542173\n", + "\\item 0.293853830886644\n", + "\\item 0.349942649312058\n", + "\\item 0.385339891682747\n", + "\\item 0.227609462798787\n", + "\\item 0.158185513684321\n", + "\\item 0.214813790959516\n", + "\\item 0.162538513832103\n", + "\\item 0.165749199713945\n", + "\\item 0.103514718533014\n", + "\\item 0.237666687116583\n", + "\\item 0.303080805478277\n", + "\\item 0.119316668281801\n", + "\\item 0.283248975371042\n", + "\\item 0.189372741274937\n", + "\\item 0.192014291133932\n", + "\\item 0.309763566550005\n", + "\\item 0.289648510373823\n", + "\\item 0.201163016450709\n", + "\\item 0.139552594895153\n", + "\\item 0.231551208636706\n", + "\\item 0.421434001724522\n", + "\\item 0.134716776881094\n", + "\\item 0.21914328026169\n", + "\\item 0.173152591096109\n", + "\\item 0.15553996111316\n", + "\\item 0.167669267537893\n", + "\\item 0.161947089146397\n", + "\\item 0.216436936743564\n", + "\\item 0.161672697213262\n", + "\\item 0.253153822161542\n", + "\\item 0.302550061807324\n", + "\\item 0.156420062071635\n", + "\\item 0.240766095316757\n", + "\\item 0.294046794621196\n", + "\\item 0.199662615803137\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 0.323683845770759\n", + "\\item 0.285080520661388\n", + "\\item 0.263258992579304\n", + "\\item 0.233088417996365\n", + "\\item 0.240111765973154\n", + "\\item 0.221057321451775\n", + "\\item 0.303779715287318\n", + "\\item 0.254378414078198\n", + "\\item 0.251519069773378\n", + "\\item 0.17905083975631\n", + "\\item 0.216258943724824\n", + "\\item 0.233100897173622\n", + "\\item 0.222468363321137\n", + "\\item 0.236361464858702\n", + "\\item 0.27135048308363\n", + "\\item 0.317479335683939\n", + "\\item 0.173022371423819\n", + "\\item 0.132992497150213\n", + "\\item 0.264634211647752\n", + "\\item 0.192687302491628\n", + "\\item 0.300193674776579\n", + "\\item 0.263725709185975\n", + "\\item 0.307611773511064\n", + "\\item 0.310202164840893\n", + "\\item 0.264497348988821\n", + "\\item 0.389537315362998\n", + "\\item 0.220437283451496\n", + "\\item 0.414354129389973\n", + "\\item 0.197130098814544\n", + "\\item 0.239737282881111\n", + "\\item 0.261425898810666\n", + "\\item 0.251976318852648\n", + "\\item 0.286302553641625\n", + "\\item 0.211527637599838\n", + "\\item 0.3802785008174\n", + "\\item 0.249190800731843\n", + "\\item 0.186455116582737\n", + "\\item 0.116058833923275\n", + "\\item 0.376972739940089\n", + "\\item 0.34777427294139\n", + "\\item 0.388153474006613\n", + "\\item 0.0646362428833309\n", + "\\item 0.283586255935073\n", + "\\item 0.152579130318483\n", + "\\item 0.357168622304044\n", + "\\item 0.139554881948677\n", + "\\item 0.380389380266213\n", + "\\item 0.197074701351812\n", + "\\item 0.289823689026658\n", + "\\item 0.218897350288883\n", + "\\item 0.330505092610759\n", + "\\item 0.123042642259354\n", + "\\item 0.13085347870653\n", + "\\item 0.316777441586792\n", + "\\item 0.29892712152301\n", + "\\item 0.457029826947164\n", + "\\item 0.120777114506\n", + "\\item 0.291292033654639\n", + "\\item 0.386630224318542\n", + "\\item 0.296977976146902\n", + "\\item 0.100075333907936\n", + "\\item 0.237714175494363\n", + "\\item 0.329553690267114\n", + "\\item 0.247685830036257\n", + "\\item 0.187081587372633\n", + "\\item 0.213968064734839\n", + "\\item 0.159213939955007\n", + "\\item 0.188652999117485\n", + "\\item 0.253513922684937\n", + "\\item 0.261361142375366\n", + "\\item 0.200893944205691\n", + "\\item 0.116223585651595\n", + "\\item 0.133523170635547\n", + "\\item 0.114398899548992\n", + "\\item 0.256733275403847\n", + "\\item 0.34731533677909\n", + "\\item 0.108111086598307\n", + "\\item 0.232854046842851\n", + "\\item 0.229342717940944\n", + "\\item 0.219056242460921\n", + "\\item 0.16469174541443\n", + "\\item 0.296761307442625\n", + "\\item 0.162719573975026\n", + "\\item 0.345314856319573\n", + "\\item 0.198956591604143\n", + "\\item 0.330571974897749\n", + "\\item 0.28389910047585\n", + "\\item 0.181733100222546\n", + "\\item 0.398396408540108\n", + "\\item 0.169684677474227\n", + "\\item 0.0937618701997684\n", + "\\item 0.29073273239229\n", + "\\item 0.200109126246902\n", + "\\item 0.161222025321386\n", + "\\item 0.313160642384267\n", + "\\item 0.441169623374526\n", + "\\item 0.254509366000812\n", + "\\item 0.213337254212518\n", + "\\item 0.0612001568481931\n", + "\\item 0.239408410115932\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 0.145343076361689\n", + "\\item 0.298231814232758\n", + "\\item 0.417366674279848\n", + "\\item 0.198777702562061\n", + "\\item 0.311510427203548\n", + "\\item 0.319911338935254\n", + "\\item 0.0823385224689827\n", + "\\item 0.320062500344077\n", + "\\item 0.407175730521976\n", + "\\item 0.274264159141888\n", + "\\item 0.332408319873729\n", + "\\item 0.242561730013811\n", + "\\item 0.202711536607435\n", + "\\item 0.295964692916768\n", + "\\item 0.343188106472409\n", + "\\item 0.282032257367446\n", + "\\item 0.355820524641964\n", + "\\item 0.224901434081905\n", + "\\item 0.425481621504186\n", + "\\item 0.227354566441677\n", + "\\item 0.213064638775651\n", + "\\item 0.342298470933248\n", + "\\item 0.394756266121075\n", + "\\item 0.310826763143144\n", + "\\item 0.362444528725481\n", + "\\item 0.335312558533586\n", + "\\item 0.167424760384138\n", + "\\item 0.262130120291323\n", + "\\item 0.235380194656682\n", + "\\item 0.344354180387538\n", + "\\item 0.278690988750224\n", + "\\item 0.23632779916284\n", + "\\item 0.249177132197142\n", + "\\item 0.426593178646352\n", + "\\item 0.293211345025097\n", + "\\item 0.311510509558138\n", + "\\item 0.428953978353959\n", + "\\item 0.26524595023684\n", + "\\item 0.172803119872107\n", + "\\item 0.270510961719266\n", + "\\item 0.24681895504374\n", + "\\item 0.385134497510157\n", + "\\item 0.277275126487853\n", + "\\item 0.136262070781443\n", + "\\item 0.267814557654785\n", + "\\item 0.234816285634599\n", + "\\item 0.232675407157425\n", + "\\item 0.224292812177163\n", + "\\item 0.224115313664339\n", + "\\item 0.349761192203136\n", + "\\item 0.277186754026732\n", + "\\item 0.157360497675181\n", + "\\item 0.401212758670332\n", + "\\item 0.271839750663848\n", + "\\item 0.26413587564513\n", + "\\item 0.392138620788653\n", + "\\item 0.20206523706165\n", + "\\item 0.140462637318013\n", + "\\item 0.263381159220783\n", + "\\item 0.455662479418738\n", + "\\item 0.286206242510866\n", + "\\item 0.416586593732081\n", + "\\item 0.27779329068104\n", + "\\item 0.308319966755461\n", + "\\item 0.352124272056157\n", + "\\item 0.12960724054\n", + "\\item 0.178361614961116\n", + "\\item 0.430696007971025\n", + "\\item 0.266337827779209\n", + "\\item 0.197869352605934\n", + "\\item 0.311166278973522\n", + "\\item 0.325474220869028\n", + "\\item 0.263646818333833\n", + "\\item 0.277877776545946\n", + "\\item 0.207834809328556\n", + "\\item 0.373551934044911\n", + "\\item 0.29358807484574\n", + "\\item 0.353360538389907\n", + "\\item 0.24637810298772\n", + "\\item 0.25856607236006\n", + "\\item 0.347031821891046\n", + "\\item 0.221100408126335\n", + "\\item 0.244771123364122\n", + "\\item 0.435133976958165\n", + "\\item 0.431766689920635\n", + "\\item 0.234842706405975\n", + "\\item 0.330900011304129\n", + "\\item 0.365844610821161\n", + "\\item 0.108761904615706\n", + "\\item 0.204108200744153\n", + "\\item 0.32579545278728\n", + "\\item 0.295512717501495\n", + "\\item 0.276878505111634\n", + "\\item 0.217269337517526\n", + "\\item 0.166344553963028\n", + "\\item 0.371405714577178\n", + "\\item 0.292643908353164\n", + "\\item 0.312786364100945\n", + "\\item 0.227885349145865\n", + "\\item 0.223698340494767\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 0.105242309278431\n", + "\\item 0.257036209102542\n", + "\\item 0.293157543038927\n", + "\\item 0.261565983052693\n", + "\\item 0.102626864191437\n", + "\\item 0.188058064501348\n", + "\\item 0.318060907563417\n", + "\\item 0.249171704926752\n", + "\\item 0.21884648965072\n", + "\\item 0.418117541807388\n", + "\\item 0.11208824771321\n", + "\\item 0.397248732049015\n", + "\\item 0.281805660879761\n", + "\\item 0.218325388507889\n", + "\\item 0.35198798292316\n", + "\\item 0.296511795430096\n", + "\\item 0.234780450890771\n", + "\\item 0.10724032745061\n", + "\\item 0.103945033567143\n", + "\\item 0.198243959588095\n", + "\\item 0.281199673115603\n", + "\\item 0.315518395347961\n", + "\\item 0.216145795148947\n", + "\\item 0.185637067851884\n", + "\\item 0.227785927782752\n", + "\\item 0.269960225173695\n", + "\\item 0.224615689671228\n", + "\\item 0.372656783279508\n", + "\\item 0.366074304832856\n", + "\\item 0.130743202073469\n", + "\\item 0.226434515218968\n", + "\\item 0.302799060533526\n", + "\\item 0.148570473692033\n", + "\\item 0.134884013144229\n", + "\\item 0.286978331840568\n", + "\\item 0.292280432943605\n", + "\\item 0.134624340527681\n", + "\\item 0.194508828493581\n", + "\\item 0.3080271802812\n", + "\\item 0.169028959362635\n", + "\\item 0.160188455815146\n", + "\\item 0.13009537249594\n", + "\\item 0.0798344605148091\n", + "\\item 0.190295907585742\n", + "\\item 0.287700378044589\n", + "\\item 0.357860379912078\n", + "\\item 0.221435050640312\n", + "\\item 0.231538483037219\n", + "\\item 0.213507338906632\n", + "\\item 0.331085008494044\n", + "\\item 0.350756721573213\n", + "\\item 0.348903778052257\n", + "\\item 0.198911684604605\n", + "\\item 0.162225779833199\n", + "\\item 0.132485175865714\n", + "\\item 0.216780930344184\n", + "\\item 0.199257904404571\n", + "\\item 0.138874809359896\n", + "\\item 0.178216571547449\n", + "\\item 0.205038576593453\n", + "\\item 0.251497129902064\n", + "\\item 0.195113872212485\n", + "\\item 0.290044792190896\n", + "\\item 0.201447053012671\n", + "\\item 0.268323638180292\n", + "\\item 0.217490653261029\n", + "\\item 0.286806143446524\n", + "\\item 0.206515974260133\n", + "\\item 0.126090026271209\n", + "\\item 0.411238748675865\n", + "\\item 0.236887683676087\n", + "\\item 0.24981781179202\n", + "\\item 0.177012686686084\n", + "\\item 0.175599660162624\n", + "\\item 0.309418494981463\n", + "\\item 0.272232988713379\n", + "\\item 0.212500163468681\n", + "\\item 0.250159785245945\n", + "\\item 0.226580543589351\n", + "\\item 0.272689513657691\n", + "\\item 0.235861348004124\n", + "\\item 0.292220410520241\n", + "\\item 0.225244763907282\n", + "\\item 0.22476111933928\n", + "\\item 0.219859194086322\n", + "\\item 0.230447421946548\n", + "\\item 0.244079007165594\n", + "\\item 0.17628166915335\n", + "\\item 0.221705271789766\n", + "\\item 0.28181745408469\n", + "\\item 0.427145229520103\n", + "\\item 0.287277829978268\n", + "\\item 0.412080678607388\n", + "\\item 0.288960260661961\n", + "\\item 0.253804952865427\n", + "\\item 0.173796549650793\n", + "\\item 0.235002971357512\n", + "\\item 0.129694328261601\n", + "\\item 0.203093808245074\n", + "\\item 0.284179723559063\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 0.247110293194437\n", + "\\item 0.277060218418458\n", + "\\item 0.340098555133972\n", + "\\item 0.149410546290744\n", + "\\item 0.186802931978734\n", + "\\item 0.319625724764634\n", + "\\item 0.17926455674151\n", + "\\item 0.232984609096997\n", + "\\item 0.231474722507658\n", + "\\item 0.187422340573138\n", + "\\item 0.233429293692423\n", + "\\item 0.335455511619115\n", + "\\item 0.329913032544649\n", + "\\item 0.200226003153571\n", + "\\item 0.337919719396513\n", + "\\item 0.206507563934429\n", + "\\item 0.275478920046697\n", + "\\item 0.224233124482445\n", + "\\item 0.326563124501408\n", + "\\item 0.374715925798025\n", + "\\item 0.234997580607368\n", + "\\item 0.165703250748533\n", + "\\item 0.329319533208928\n", + "\\item 0.326247893702667\n", + "\\item 0.318235492292042\n", + "\\item 0.259837270604829\n", + "\\item 0.268439262692442\n", + "\\item 0.164483008953108\n", + "\\item 0.122434230766343\n", + "\\item 0.31603889129369\n", + "\\item 0.301511997686418\n", + "\\item 0.190438038538496\n", + "\\item 0.304477757571478\n", + "\\item 0.370532746259586\n", + "\\item 0.247111903977292\n", + "\\item 0.292828542517171\n", + "\\item 0.300525987949527\n", + "\\item 0.430146207989023\n", + "\\item 0.237474825314395\n", + "\\item 0.15185610874796\n", + "\\item 0.24077554860938\n", + "\\item 0.268526334694056\n", + "\\item 0.289895629966775\n", + "\\item 0.301731049314704\n", + "\\item 0.241821355518221\n", + "\\item 0.376729834740277\n", + "\\item 0.200309432530993\n", + "\\item 0.2503934565016\n", + "\\item 0.276251574396544\n", + "\\item 0.229554528941004\n", + "\\item 0.239306939068346\n", + "\\item 0.265922017154514\n", + "\\item 0.319751520560098\n", + "\\item 0.260527288633047\n", + "\\item 0.308902418548808\n", + "\\item 0.234862792725641\n", + "\\item 0.267175351585711\n", + "\\item 0.21597152831886\n", + "\\item 0.285465916836749\n", + "\\item 0.216412773255298\n", + "\\item 0.167476620003928\n", + "\\item 0.224119195068595\n", + "\\item 0.327682410385736\n", + "\\item 0.291471565476015\n", + "\\item 0.153931259150748\n", + "\\item 0.247905325174346\n", + "\\item 0.291350403414586\n", + "\\item 0.360758443441294\n", + "\\item 0.311315199428139\n", + "\\item 0.200660059271367\n", + "\\item 0.23658014382714\n", + "\\item 0.262216813953229\n", + "\\item 0.225300999577593\n", + "\\item 0.137162890640139\n", + "\\item 0.212685629717219\n", + "\\item 0.33709835530132\n", + "\\item 0.170504239688526\n", + "\\item 0.252506765494454\n", + "\\item 0.197341197343951\n", + "\\item 0.373449994968099\n", + "\\item 0.227139272046811\n", + "\\item 0.295529324719426\n", + "\\item 0.240634248892105\n", + "\\item 0.264318328685119\n", + "\\item 0.251503510801391\n", + "\\item 0.127506311225189\n", + "\\item 0.271854189685655\n", + "\\item 0.230745569177176\n", + "\\item 0.221117349138109\n", + "\\item 0.203473096575658\n", + "\\item 0.237814402745596\n", + "\\item 0.293992640674613\n", + "\\item 0.299199681248926\n", + "\\item 0.193939695860587\n", + "\\item 0.260319234081848\n", + "\\item 0.352854191987771\n", + "\\item 0.422047627813137\n", + "\\item 0.266167512129812\n", + "\\item 0.191465348925283\n", + "\\item 0.273818049864508\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 0.141460902933883\n", + "\\item 0.169572331224221\n", + "\\item 0.244920832833993\n", + "\\item 0.200918040274405\n", + "\\item 0.227071590747273\n", + "\\item 0.244517155498998\n", + "\\item 0.26631650547957\n", + "\\item 0.279119370784768\n", + "\\item 0.177492687128178\n", + "\\item 0.324776163305991\n", + "\\item 0.248393262456511\n", + "\\item 0.198319821097042\n", + "\\item 0.176941651867553\n", + "\\item 0.268478351790117\n", + "\\item 0.119665168962791\n", + "\\item 0.213619026710923\n", + "\\item 0.151998592563907\n", + "\\item 0.289201060291983\n", + "\\item 0.244026967137536\n", + "\\item 0.243661907759047\n", + "\\item 0.248384379774462\n", + "\\item 0.24415637253665\n", + "\\item 0.167505632845242\n", + "\\item 0.30698017230038\n", + "\\item 0.326476544282325\n", + "\\item 0.405142214500631\n", + "\\item 0.2476110340552\n", + "\\item 0.190654910359858\n", + "\\item 0.0475181394982694\n", + "\\item 0.257682137274259\n", + "\\item 0.24471768423572\n", + "\\item 0.335544753771089\n", + "\\item 0.20290387241374\n", + "\\item 0.193446561242764\n", + "\\item 0.201028282649247\n", + "\\item 0.293904712053104\n", + "\\item 0.295751995538061\n", + "\\item 0.218004142478513\n", + "\\item 0.238270405481486\n", + "\\item 0.349305636030164\n", + "\\item 0.296115985116617\n", + "\\item 0.189090750509483\n", + "\\item 0.302137441920457\n", + "\\item 0.222527646341699\n", + "\\item 0.154351135226761\n", + "\\item 0.0983596619110679\n", + "\\item 0.242168626962664\n", + "\\item 0.149778260152337\n", + "\\item 0.196582904930043\n", + "\\item 0.244567785293417\n", + "\\item 0.142334250456443\n", + "\\item 0.179248410355\n", + "\\item 0.0566349216916405\n", + "\\item 0.173489514777785\n", + "\\item 0.242779608487444\n", + "\\item 0.214403955093351\n", + "\\item 0.146943223612008\n", + "\\item 0.165459553423363\n", + "\\item 0.200027529598687\n", + "\\item 0.2437000755765\n", + "\\item 0.316416732315834\n", + "\\item 0.228973537497605\n", + "\\item 0.127545440447623\n", + "\\item 0.254931441885701\n", + "\\item 0.144247637051603\n", + "\\item 0.155025550236803\n", + "\\item 0.242869515425944\n", + "\\item 0.384213945832407\n", + "\\item 0.238269501150603\n", + "\\item 0.253290898287332\n", + "\\item 0.206895319358605\n", + "\\item 0.150517167741784\n", + "\\item 0.281695467257635\n", + "\\item 0.167097778342315\n", + "\\item 0.247213622998635\n", + "\\item 0.147861521926719\n", + "\\item 0.328363706456707\n", + "\\item 0.205143329100123\n", + "\\item 0.139841325410215\n", + "\\item 0.272515291033094\n", + "\\item 0.241557401833194\n", + "\\item 0.360998029962865\n", + "\\item 0.291352861700836\n", + "\\item 0.0831069055141409\n", + "\\item 0.209599212833367\n", + "\\item 0.235802441898014\n", + "\\item 0.276703746742888\n", + "\\item 0.185619277328997\n", + "\\item 0.110970335151236\n", + "\\item 0.319053235688312\n", + "\\item 0.342647702379517\n", + "\\item 0.173261995052813\n", + "\\item 0.0932693026423875\n", + "\\item 0.245595088592837\n", + "\\item 0.213761041481313\n", + "\\item 0.357675226615083\n", + "\\item 0.0951258829083281\n", + "\\item 0.204169398227227\n", + "\\item 0.191640553871523\n", + "\\item 0.19202730920489\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 0.325360950322643\n", + "\\item 0.231881225535339\n", + "\\item 0.151964800163234\n", + "\\item 0.155477391345996\n", + "\\item 0.126503922540459\n", + "\\item 0.323882661229067\n", + "\\item 0.281219502286545\n", + "\\item 0.337455964074137\n", + "\\item 0.178371195156245\n", + "\\item 0.165721727598821\n", + "\\item 0.146589007366561\n", + "\\item 0.27978483157281\n", + "\\item 0.133782813348125\n", + "\\item 0.384628992186211\n", + "\\item 0.280259767389341\n", + "\\item 0.202170508042453\n", + "\\item 0.267141066588438\n", + "\\item 0.271190592961583\n", + "\\item 0.27525681720221\n", + "\\item 0.357242397486402\n", + "\\item 0.215202065377181\n", + "\\item 0.218818014321877\n", + "\\item 0.290257643271133\n", + "\\item 0.358120658790662\n", + "\\item 0.138480396231545\n", + "\\item 0.127057522947337\n", + "\\item 0.292135809847405\n", + "\\item 0.163007080531599\n", + "\\item 0.197009989453564\n", + "\\item 0.228552587320675\n", + "\\item 0.420099932829315\n", + "\\item 0.202157428336293\n", + "\\item 0.272638955257572\n", + "\\item 0.15840594103795\n", + "\\item 0.174178445856281\n", + "\\item 0.237020260543737\n", + "\\item 0.249514299273198\n", + "\\item 0.274069016127425\n", + "\\item 0.170236412669812\n", + "\\item 0.208781259743686\n", + "\\item 0.392401422733044\n", + "\\item 0.129199549467874\n", + "\\item 0.236668282834163\n", + "\\item 0.197107225411496\n", + "\\item 0.327602916529984\n", + "\\item 0.307156316589613\n", + "\\item 0.290875759886713\n", + "\\item 0.213336514474713\n", + "\\item 0.242211810638893\n", + "\\item 0.244500739340616\n", + "\\item 0.324112035153459\n", + "\\item 0.224526651427024\n", + "\\item 0.158540317546675\n", + "\\item 0.224397163408538\n", + "\\item 0.275988016860311\n", + "\\item 0.277745985876755\n", + "\\item 0.280970219082894\n", + "\\item 0.177759238878625\n", + "\\item 0.292305748152634\n", + "\\item 0.14442417931573\n", + "\\item 0.18656653486622\n", + "\\item 0.0824857758688529\n", + "\\item 0.33813373721976\n", + "\\item 0.241039028364841\n", + "\\item 0.28235748906608\n", + "\\item 0.335710334038687\n", + "\\item 0.31698747659479\n", + "\\item 0.128146232841896\n", + "\\item 0.250490655161173\n", + "\\item 0.266255405799932\n", + "\\item 0.194403504449469\n", + "\\item 0.259014820349221\n", + "\\item 0.161391635628341\n", + "\\item 0.275872773065704\n", + "\\item 0.116269349831147\n", + "\\item 0.251712777733153\n", + "\\item 0.322259186126787\n", + "\\item 0.206572664769771\n", + "\\item 0.349921863388758\n", + "\\item 0.330010186759373\n", + "\\item 0.225067034646814\n", + "\\item 0.263311769379627\n", + "\\item 0.389178262232512\n", + "\\item 0.28423323634463\n", + "\\item 0.260468023710022\n", + "\\item 0.194659419099289\n", + "\\item 0.226160075034696\n", + "\\item 0.293359171692671\n", + "\\item 0.257940187442928\n", + "\\item 0.329569188089966\n", + "\\item 0.304359706405633\n", + "\\item 0.33579813498474\n", + "\\item 0.127764598806325\n", + "\\item 0.202674092578855\n", + "\\item 0.209653336211938\n", + "\\item 0.332249863909325\n", + "\\item 0.23975118344854\n", + "\\item 0.28376601534676\n", + "\\item 0.237756142836811\n", + "\\item 0.155068573401361\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 0.299894908157544\n", + "\\item 0.353899088702225\n", + "\\item 0.325109247286901\n", + "\\item 0.276759176701728\n", + "\\item 0.259532205655324\n", + "\\item 0.264065856063243\n", + "\\item 0.32385602381071\n", + "\\item 0.352970635396693\n", + "\\item 0.274399547411079\n", + "\\item 0.155938690771803\n", + "\\item 0.256686842661248\n", + "\\item 0.330566445316606\n", + "\\item 0.213486833028873\n", + "\\item 0.36940298068025\n", + "\\item 0.326889370754142\n", + "\\item 0.209068193759995\n", + "\\item 0.159764792904899\n", + "\\item 0.297632671007148\n", + "\\item 0.285300905795499\n", + "\\item 0.201966277562304\n", + "\\item 0.380338575130921\n", + "\\item 0.267418260201484\n", + "\\item 0.280447042198638\n", + "\\item 0.257866785177463\n", + "\\item 0.321501195883055\n", + "\\item 0.317074859290742\n", + "\\item 0.262608496106401\n", + "\\item 0.173974986006187\n", + "\\item 0.322500938689976\n", + "\\item 0.128639860689316\n", + "\\item 0.222542375732892\n", + "\\item 0.30258563077796\n", + "\\item 0.314665180608685\n", + "\\item 0.208946349249603\n", + "\\item 0.247821281410573\n", + "\\item 0.206897230099954\n", + "\\item 0.327388635438879\n", + "\\item 0.337884100535554\n", + "\\item 0.115958599895998\n", + "\\item 0.333850920611821\n", + "\\item 0.226344081023462\n", + "\\item 0.376096911393107\n", + "\\item 0.335615115414817\n", + "\\item 0.414891830310287\n", + "\\item 0.215353183366133\n", + "\\item 0.275629392655962\n", + "\\item 0.361103896705484\n", + "\\item 0.304230117281901\n", + "\\item 0.121589262738069\n", + "\\item 0.321556838339616\n", + "\\item 0.407811072694644\n", + "\\item 0.296564144185182\n", + "\\item 0.178917974165121\n", + "\\item 0.329836011127166\n", + "\\item 0.195359534450713\n", + "\\item 0.29563198849041\n", + "\\item 0.165325653467052\n", + "\\item 0.318209213237076\n", + "\\item 0.292019000304923\n", + "\\item 0.335360095262781\n", + "\\item 0.151457692547443\n", + "\\item 0.287369974375249\n", + "\\item 0.219625091888943\n", + "\\item 0.353918396703483\n", + "\\item 0.277009670419373\n", + "\\item 0.241549352271953\n", + "\\item 0.255786310303897\n", + "\\item 0.260681035389023\n", + "\\item 0.192569927554527\n", + "\\item 0.212263712211126\n", + "\\item 0.421861617567654\n", + "\\item 0.240979260635712\n", + "\\item 0.259538930921617\n", + "\\item 0.262810317974968\n", + "\\item 0.326126044016362\n", + "\\item 0.229776588648976\n", + "\\item 0.390553186550397\n", + "\\item 0.164233353484698\n", + "\\item 0.255335613776023\n", + "\\item 0.290825598618795\n", + "\\item 0.240064634557825\n", + "\\item 0.254185539690785\n", + "\\item 0.320496155495016\n", + "\\item 0.236703877440137\n", + "\\item 0.225095324420244\n", + "\\item 0.275490743602233\n", + "\\item 0.2296499304182\n", + "\\item 0.265765816840183\n", + "\\item 0.189744346586415\n", + "\\item 0.131888023000359\n", + "\\item 0.354964441386108\n", + "\\item 0.381664603428658\n", + "\\item 0.463337640573837\n", + "\\item 0.249752844622111\n", + "\\item 0.307547905481926\n", + "\\item 0.327487768341913\n", + "\\item 0.267076561423289\n", + "\\item 0.250237870340896\n", + "\\item 0.0983132198357867\n", + "\\item 0.386491785808757\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 0.201308852919627\n", + "\\item 0.183428749181994\n", + "\\item 0.251290335748811\n", + "\\item 0.180910155731414\n", + "\\item 0.196061993621163\n", + "\\item 0.340027214220622\n", + "\\item 0.424674324745544\n", + "\\item 0.25889348694867\n", + "\\item 0.330617771031771\n", + "\\item 0.232853392180568\n", + "\\item 0.300320944269238\n", + "\\item 0.347949078413597\n", + "\\item 0.259488858026183\n", + "\\item 0.352224023253505\n", + "\\item 0.111540326560457\n", + "\\item 0.327706463774419\n", + "\\item 0.283601568055279\n", + "\\item 0.188132879717083\n", + "\\item 0.358552703627309\n", + "\\item 0.276276043314374\n", + "\\item 0.377389140343498\n", + "\\item 0.270233862198506\n", + "\\item 0.443619574140925\n", + "\\item 0.197979074421995\n", + "\\item 0.230433461218461\n", + "\\item 0.238932789896083\n", + "\\item 0.257926547946581\n", + "\\item 0.13951658534046\n", + "\\item 0.217927431128796\n", + "\\item 0.250872557857221\n", + "\\item 0.320836695039719\n", + "\\item 0.312708351196187\n", + "\\item 0.305903330499065\n", + "\\item 0.113512338915677\n", + "\\item 0.149581484716952\n", + "\\item 0.124312636774451\n", + "\\item 0.251980640796417\n", + "\\item 0.174208620785452\n", + "\\item 0.307754544396653\n", + "\\item 0.323804966586349\n", + "\\item 0.278322015555846\n", + "\\item 0.259881495510671\n", + "\\item 0.303768301381133\n", + "\\item 0.267346726219128\n", + "\\item 0.340357005435215\n", + "\\item 0.28417408162748\n", + "\\item 0.141786880887746\n", + "\\item 0.256975164491755\n", + "\\item 0.226562953348683\n", + "\\item 0.265480348198197\n", + "\\item 0.192951137835965\n", + "\\item 0.33676623161529\n", + "\\item 0.372873348924402\n", + "\\item 0.302453192486899\n", + "\\item 0.356061127443514\n", + "\\item 0.1776481630043\n", + "\\item 0.310029031609643\n", + "\\item 0.120095250478827\n", + "\\item 0.348069939357909\n", + "\\item 0.225672615248228\n", + "\\item 0.22311802988505\n", + "\\item 0.354571100418084\n", + "\\item 0.243227375729683\n", + "\\item 0.255945988997676\n", + "\\item 0.23744850001634\n", + "\\item 0.217725297052039\n", + "\\item 0.285019847017899\n", + "\\item 0.184409857175701\n", + "\\item 0.239425709042572\n", + "\\item 0.218949321985381\n", + "\\item 0.328690055307342\n", + "\\item 0.329508060470883\n", + "\\item 0.284633298283592\n", + "\\item 0.338619304441759\n", + "\\item 0.17352834550437\n", + "\\item 0.30064709815068\n", + "\\item 0.105921782374198\n", + "\\item 0.300881830289053\n", + "\\item 0.31681606003772\n", + "\\item 0.347929456488925\n", + "\\item 0.196830437390727\n", + "\\item 0.233689516769604\n", + "\\item 0.283971455195133\n", + "\\item 0.244339850875941\n", + "\\item 0.2444000436619\n", + "\\item 0.313430171720158\n", + "\\item 0.356313103679351\n", + "\\item 0.271543216410762\n", + "\\item 0.0798643365786459\n", + "\\item 0.180094250383876\n", + "\\item 0.174931369145647\n", + "\\item 0.0868132466114623\n", + "\\item 0.276266531042387\n", + "\\item 0.174617575508255\n", + "\\item 0.2585858106311\n", + "\\item 0.327022764387989\n", + "\\item 0.207395634569454\n", + "\\item 0.331427340777904\n", + "\\item 0.276936212118859\n", + "\\item 0.281150625434357\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 0.334151364375547\n", + "\\item 0.281371761524517\n", + "\\item 0.235385240942119\n", + "\\item 0.356517380765876\n", + "\\item 0.323436749156413\n", + "\\item 0.214771915202349\n", + "\\item 0.3891062662854\n", + "\\item 0.150468844798934\n", + "\\item 0.201409971825285\n", + "\\item 0.249606599549958\n", + "\\item 0.261567809075259\n", + "\\item 0.23456913802159\n", + "\\item 0.333253960898844\n", + "\\item 0.211952918128879\n", + "\\item 0.174034913649975\n", + "\\item 0.345412738263606\n", + "\\item 0.237918374121969\n", + "\\item 0.242749744304443\n", + "\\item 0.160250831992349\n", + "\\item 0.340222031090055\n", + "\\item 0.179463303338838\n", + "\\item 0.136286160628189\n", + "\\item 0.168088200624005\n", + "\\item 0.147884713473603\n", + "\\item 0.297404200072832\n", + "\\item 0.231480540768985\n", + "\\item 0.333571475292211\n", + "\\item 0.112078508953616\n", + "\\item 0.139247485250326\n", + "\\item 0.253109962414179\n", + "\\item 0.281464427084576\n", + "\\item 0.157913728691549\n", + "\\item 0.326994098192271\n", + "\\item 0.269845622072529\n", + "\\item 0.190323666237896\n", + "\\item 0.175601572547943\n", + "\\item 0.197247796546166\n", + "\\item 0.335508322795984\n", + "\\item 0.252821618336895\n", + "\\item 0.175674673433583\n", + "\\item 0.278355536999304\n", + "\\item 0.349020563843374\n", + "\\item 0.303086348697623\n", + "\\item 0.438756094909868\n", + "\\item 0.235946928369374\n", + "\\item 0.302929559377237\n", + "\\item 0.26600560345152\n", + "\\item 0.348167145941855\n", + "\\item 0.340748679411575\n", + "\\item 0.373592684439539\n", + "\\item 0.33999139762645\n", + "\\item 0.26250552505749\n", + "\\item 0.226661550058796\n", + "\\item 0.253430118804215\n", + "\\item 0.484166065541713\n", + "\\item 0.305706731899103\n", + "\\item 0.392565058321683\n", + "\\item 0.242312948846228\n", + "\\item 0.237594092997862\n", + "\\item 0.33522522425862\n", + "\\item 0.192728613622126\n", + "\\item 0.368003792463671\n", + "\\item 0.285956999272971\n", + "\\item 0.153610251381808\n", + "\\item 0.226081071849545\n", + "\\item 0.245949792432693\n", + "\\item 0.327179811478488\n", + "\\item 0.329098087483348\n", + "\\item 0.256760938480071\n", + "\\item 0.192901952683876\n", + "\\item 0.266151237511975\n", + "\\item 0.264395031559538\n", + "\\item 0.286303853295137\n", + "\\item 0.37375063554913\n", + "\\item 0.388512358538545\n", + "\\item 0.218073150589359\n", + "\\item 0.317092386445386\n", + "\\item 0.262459130226322\n", + "\\item 0.38254813716687\n", + "\\item 0.40866553482584\n", + "\\item 0.30099494684473\n", + "\\item 0.314885744971618\n", + "\\item 0.269412562990691\n", + "\\item 0.222485164597326\n", + "\\item 0.23539764345766\n", + "\\item 0.198173961667879\n", + "\\item 0.231817442125839\n", + "\\item 0.209679744588799\n", + "\\item 0.204982417037033\n", + "\\item 0.283835152804712\n", + "\\item 0.238063093166828\n", + "\\item 0.246083032774041\n", + "\\item 0.247431497967683\n", + "\\item 0.194052086632811\n", + "\\item 0.41648691563789\n", + "\\item 0.288822696364606\n", + "\\item 0.171519628531289\n", + "\\item 0.268874438078119\n", + "\\item 0.451767715506752\n", + "\\item 0.286083432445201\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 0.331560550667514\n", + "\\item 0.178204803845767\n", + "\\item 0.275287470814387\n", + "\\item 0.20448296311198\n", + "\\item 0.400971846558915\n", + "\\item 0.267627538075936\n", + "\\item 0.211264124472877\n", + "\\item 0.213396075935951\n", + "\\item 0.35306399542095\n", + "\\item 0.232522819614176\n", + "\\item 0.383908285616216\n", + "\\item 0.240906834700105\n", + "\\item 0.181085622369853\n", + "\\item 0.225971912098799\n", + "\\item 0.228656279337206\n", + "\\item 0.149156959440974\n", + "\\item 0.237100764711751\n", + "\\item 0.258835877070049\n", + "\\item 0.282395464184805\n", + "\\item 0.314597115164008\n", + "\\item 0.346980214124262\n", + "\\item 0.360702036403267\n", + "\\item 0.456598879679602\n", + "\\item 0.318511509196444\n", + "\\item 0.274887626698119\n", + "\\item 0.284615390298096\n", + "\\item 0.384084281962256\n", + "\\item 0.362525433774202\n", + "\\item 0.133917142140652\n", + "\\item 0.326476127915\n", + "\\item 0.265616854966112\n", + "\\item 0.316469606164934\n", + "\\item 0.283201247399596\n", + "\\item 0.428799847365668\n", + "\\item 0.244835289870399\n", + "\\item 0.437837884412518\n", + "\\item 0.279017871422266\n", + "\\item 0.14223311007335\n", + "\\item 0.294445395453519\n", + "\\item 0.27625288453777\n", + "\\item 0.460494685253162\n", + "\\item 0.416108813200393\n", + "\\item 0.211953203996582\n", + "\\item 0.381502342658298\n", + "\\item 0.272966431689821\n", + "\\item 0.241642713192263\n", + "\\item 0.287130011916336\n", + "\\item 0.379665399355398\n", + "\\item 0.195234159949684\n", + "\\item 0.131943510658863\n", + "\\item 0.175112531124335\n", + "\\item 0.223623661536787\n", + "\\item 0.296613498364611\n", + "\\item 0.265493246609512\n", + "\\item 0.299788914152315\n", + "\\item 0.328016033780359\n", + "\\item 0.332823305536308\n", + "\\item 0.284921175168044\n", + "\\item 0.222111034241486\n", + "\\item 0.223462196263154\n", + "\\item 0.286125063840729\n", + "\\item 0.182230342516195\n", + "\\item 0.285926168416912\n", + "\\item 0.285177681204565\n", + "\\item 0.213535053469632\n", + "\\item 0.175979838486922\n", + "\\item 0.341444060994997\n", + "\\item 0.300234424959596\n", + "\\item 0.121053004915926\n", + "\\item 0.329108824183397\n", + "\\item 0.231028775689131\n", + "\\item 0.350724675527334\n", + "\\item 0.27413317122171\n", + "\\item 0.290955826370799\n", + "\\item 0.324602125873923\n", + "\\item 0.224115738501041\n", + "\\item 0.350205760780622\n", + "\\item 0.304876827612569\n", + "\\item 0.262659665319758\n", + "\\item 0.224645841466006\n", + "\\item 0.192113660340171\n", + "\\item 0.31971864459873\n", + "\\item 0.257795596434798\n", + "\\item 0.294583961949521\n", + "\\item 0.272758123250854\n", + "\\item 0.178110160500887\n", + "\\item 0.317879630049497\n", + "\\item 0.336137483450526\n", + "\\item 0.30372084832598\n", + "\\item 0.250116238050087\n", + "\\item 0.25597839829623\n", + "\\item 0.309571976836208\n", + "\\item 0.31929955369557\n", + "\\item 0.254594676916101\n", + "\\item 0.280248740622216\n", + "\\item 0.263680545046756\n", + "\\item 0.265951224516494\n", + "\\item 0.310259505751799\n", + "\\item 0.129119359325847\n", + "\\item 0.43613703607879\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 0.181844517651459\n", + "\\item 0.281993570089666\n", + "\\item 0.273000742259198\n", + "\\item 0.283425152250995\n", + "\\item 0.292605937586852\n", + "\\item 0.119820799593877\n", + "\\item 0.1416354202193\n", + "\\item 0.274518427837028\n", + "\\item 0.208913834383581\n", + "\\item 0.201750544820341\n", + "\\item 0.178262021092297\n", + "\\item 0.285410731603057\n", + "\\item 0.230103195087354\n", + "\\item 0.251022862198276\n", + "\\item 0.393745269054525\n", + "\\item 0.223279710582372\n", + "\\item 0.379309998888982\n", + "\\item 0.356562419188503\n", + "\\item 0.321664726615408\n", + "\\item 0.195482672204923\n", + "\\item 0.366113868665789\n", + "\\item 0.218522114469596\n", + "\\item 0.103392811702678\n", + "\\item 0.249491454320645\n", + "\\item 0.11227879563091\n", + "\\item 0.133494643117935\n", + "\\item 0.184917293769758\n", + "\\item 0.31574719149302\n", + "\\item 0.230637971905741\n", + "\\item 0.337509593371637\n", + "\\item 0.279116244521319\n", + "\\item 0.185528979598437\n", + "\\item 0.244535647367742\n", + "\\item 0.265933175506706\n", + "\\item 0.294887458464967\n", + "\\item 0.219820029582166\n", + "\\item 0.262970117528973\n", + "\\item 0.211720687105723\n", + "\\item 0.193469541507553\n", + "\\item 0.297131036110901\n", + "\\item 0.337424625874771\n", + "\\item 0.194946295813687\n", + "\\item 0.204086682444526\n", + "\\item 0.210439603033797\n", + "\\item 0.134822152919245\n", + "\\item 0.165362639907158\n", + "\\item 0.270630758559165\n", + "\\item 0.271897523655702\n", + "\\item 0.203603950489243\n", + "\\item 0.242828362724742\n", + "\\item 0.157086217494812\n", + "\\item 0.266775115705554\n", + "\\item 0.287516211484022\n", + "\\item 0.28204617688309\n", + "\\item 0.310083032674867\n", + "\\item 0.273924876957296\n", + "\\item 0.155896571108106\n", + "\\item 0.101396956367964\n", + "\\item 0.281886284930203\n", + "\\item 0.353936466631802\n", + "\\item 0.290669628281008\n", + "\\item 0.247417784333868\n", + "\\item 0.0891607471550979\n", + "\\item 0.238958326853516\n", + "\\item 0.226724705797145\n", + "\\item 0.127821108482838\n", + "\\item 0.256887813135978\n", + "\\item 0.152858892552719\n", + "\\item 0.367535619614801\n", + "\\item 0.380112551560972\n", + "\\item 0.422545273969583\n", + "\\item 0.261548164500782\n", + "\\item 0.252186194968049\n", + "\\item 0.221042611430771\n", + "\\item 0.19292483161517\n", + "\\item 0.294542806454617\n", + "\\item 0.305561990008175\n", + "\\item 0.29245574554607\n", + "\\item 0.130262681362129\n", + "\\item 0.0468917732503106\n", + "\\item 0.304131931863861\n", + "\\item 0.231059057017872\n", + "\\item 0.358086781674669\n", + "\\item 0.183392744928398\n", + "\\item 0.208108681219364\n", + "\\item 0.283931610495031\n", + "\\item 0.275440767812674\n", + "\\item 0.300370087270496\n", + "\\item 0.178192978583646\n", + "\\item 0.278231645170287\n", + "\\item 0.384288698674561\n", + "\\item 0.296245479895063\n", + "\\item 0.360166757374697\n", + "\\item 0.227570815185587\n", + "\\item 0.105877333372906\n", + "\\item 0.246073157271098\n", + "\\item 0.372209894016595\n", + "\\item 0.254688308307342\n", + "\\item 0.205182765356743\n", + "\\item 0.21194812889921\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 0.417428139981088\n", + "\\item 0.174006132456144\n", + "\\item 0.270843503092561\n", + "\\item 0.291764992144245\n", + "\\item 0.184812454376638\n", + "\\item 0.183426563480188\n", + "\\item 0.22337777418948\n", + "\\item 0.184013878826705\n", + "\\item 0.234973177331232\n", + "\\item 0.140539483048642\n", + "\\item 0.196529133341507\n", + "\\item 0.407211294782022\n", + "\\item 0.240229059665642\n", + "\\item 0.314768867249197\n", + "\\item 0.416662091214327\n", + "\\item 0.307330117974027\n", + "\\item 0.252460956191284\n", + "\\item 0.274581119826059\n", + "\\item 0.297344785255839\n", + "\\item 0.272093928613198\n", + "\\item 0.18262564408861\n", + "\\item 0.236674601015356\n", + "\\item 0.1737854687905\n", + "\\item 0.249827393322475\n", + "\\item 0.433514318188653\n", + "\\item 0.226014977650781\n", + "\\item 0.291054051846608\n", + "\\item 0.45992331586498\n", + "\\item 0.472088476275039\n", + "\\item 0.286256362161534\n", + "\\item 0.278579927501468\n", + "\\item 0.314922366918614\n", + "\\item 0.176557346425125\n", + "\\item 0.334977602680081\n", + "\\item 0.19981666277908\n", + "\\item 0.278260668517037\n", + "\\item 0.376541655661633\n", + "\\item 0.325228432501203\n", + "\\item 0.216220955814083\n", + "\\item 0.281449213309647\n", + "\\item 0.290210096892264\n", + "\\item 0.293288635016839\n", + "\\item 0.31016874385987\n", + "\\item 0.270943643649296\n", + "\\item 0.327930533646626\n", + "\\item 0.242813628611654\n", + "\\item 0.173889326893391\n", + "\\item 0.239496166976903\n", + "\\item 0.346989894720409\n", + "\\item 0.437295649681197\n", + "\\item 0.245033166759776\n", + "\\item 0.253905970043732\n", + "\\item 0.338495775131814\n", + "\\item 0.395410258122269\n", + "\\item 0.263289340113972\n", + "\\item 0.269883197934349\n", + "\\item 0.418309749027927\n", + "\\item 0.274078798447618\n", + "\\item 0.123944773657619\n", + "\\item 0.190359304113838\n", + "\\item 0.195614428416121\n", + "\\item 0.240616828819152\n", + "\\item 0.27037356883636\n", + "\\item 0.28429984602443\n", + "\\item 0.259064320230833\n", + "\\item 0.394220863460136\n", + "\\item 0.236751066215911\n", + "\\item 0.23242475475217\n", + "\\item 0.19747775070213\n", + "\\item 0.230069269756065\n", + "\\item 0.268771147074394\n", + "\\item 0.19516499422227\n", + "\\item 0.345043200540971\n", + "\\item 0.178591437418084\n", + "\\item 0.317213424446421\n", + "\\item 0.341384847020816\n", + "\\item 0.21124886076649\n", + "\\item 0.349450851646087\n", + "\\item 0.421071710164944\n", + "\\item 0.266769849298689\n", + "\\item 0.320531939347259\n", + "\\item 0.275023920810954\n", + "\\item 0.271478621253451\n", + "\\item 0.307857676214171\n", + "\\item 0.333378229277609\n", + "\\item 0.169708083584498\n", + "\\item 0.229513985779612\n", + "\\item 0.313159444413232\n", + "\\item 0.139173106002951\n", + "\\item 0.114635779927061\n", + "\\item 0.212354291628808\n", + "\\item 0.235808262492705\n", + "\\item 0.295391593895559\n", + "\\item 0.277837538762062\n", + "\\item 0.310285750703994\n", + "\\item 0.289180724737966\n", + "\\item 0.326835538092061\n", + "\\item 0.168847788315267\n", + "\\item 0.474096644188934\n", + "\\item 0.209160286667203\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 0.233088013873581\n", + "\\item 0.201660043491364\n", + "\\item 0.199956012741643\n", + "\\item 0.283047285384346\n", + "\\item 0.135533359454663\n", + "\\item 0.154656007644237\n", + "\\item 0.315420352719653\n", + "\\item 0.260170634591742\n", + "\\item 0.242817738712336\n", + "\\item 0.249605134819375\n", + "\\item 0.134689799444985\n", + "\\item 0.236999968605429\n", + "\\item 0.204036753431574\n", + "\\item 0.138522704301915\n", + "\\item 0.254990465727107\n", + "\\item 0.167242182447346\n", + "\\item 0.292145171274358\n", + "\\item 0.241735054423949\n", + "\\item 0.245722473352815\n", + "\\item 0.258881546494961\n", + "\\item 0.136158746657855\n", + "\\item 0.331675234872951\n", + "\\item 0.122639250753158\n", + "\\item 0.274614886853996\n", + "\\item 0.261102151416363\n", + "\\item 0.198330610576872\n", + "\\item 0.197007577680007\n", + "\\item 0.210471292160907\n", + "\\item 0.147022225603938\n", + "\\item 0.395692437609187\n", + "\\item 0.215339073903493\n", + "\\item 0.21480590814977\n", + "\\item 0.237766241738941\n", + "\\item 0.231000813329893\n", + "\\item 0.331062712618266\n", + "\\item 0.235450345609399\n", + "\\item 0.119106222361266\n", + "\\item 0.200165311777299\n", + "\\item 0.267505914968748\n", + "\\item 0.0754532238470563\n", + "\\item 0.287378466969493\n", + "\\item 0.171047532518652\n", + "\\item 0.14377009592923\n", + "\\item 0.202709860983719\n", + "\\item 0.197311246994507\n", + "\\item 0.209966417222431\n", + "\\item 0.187658882943344\n", + "\\item 0.342126238117055\n", + "\\item 0.14115237106374\n", + "\\item 0.367446816854853\n", + "\\item 0.264976682384528\n", + "\\item 0.304124307901976\n", + "\\item 0.166491023838626\n", + "\\item 0.158041439537573\n", + "\\item 0.257511877828771\n", + "\\item 0.16167703305385\n", + "\\item 0.197221950389315\n", + "\\item 0.224767316418206\n", + "\\item 0.223002681287158\n", + "\\item 0.187680857331601\n", + "\\item 0.199999388136449\n", + "\\item 0.210190054230203\n", + "\\item 0.276284896162682\n", + "\\item 0.364405217519777\n", + "\\item 0.164989372313936\n", + "\\item 0.290744288921271\n", + "\\item 0.172921337710275\n", + "\\item 0.286784979771048\n", + "\\item 0.199653367342237\n", + "\\item 0.218274210414277\n", + "\\item 0.0919748102010983\n", + "\\item 0.204342457690493\n", + "\\item 0.27239560547781\n", + "\\item 0.170393535002938\n", + "\\item 0.333097037856093\n", + "\\item 0.222360124959766\n", + "\\item 0.236668862804253\n", + "\\item 0.236703123867647\n", + "\\item 0.158856937757052\n", + "\\item 0.218341079876646\n", + "\\item 0.218551967900574\n", + "\\item 0.269651944745877\n", + "\\item 0.360755249248124\n", + "\\item 0.152770200253047\n", + "\\item 0.255039245240351\n", + "\\item 0.283485749372937\n", + "\\item 0.196623093289031\n", + "\\item 0.192691175559\n", + "\\item 0.178084378181022\n", + "\\item 0.11249631991471\n", + "\\item 0.203253984610999\n", + "\\item 0.257562567405592\n", + "\\item 0.193825907866756\n", + "\\item 0.219728186901842\n", + "\\item 0.250661859548762\n", + "\\item 0.269010313521587\n", + "\\item 0.219146941054519\n", + "\\item 0.18305889223939\n", + "\\item 0.220328556608396\n", + "\\item 0.169087552211808\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 0.393863501157762\n", + "\\item 0.297871701089679\n", + "\\item 0.337820283394317\n", + "\\item 0.436246001142731\n", + "\\item 0.181892337611118\n", + "\\item 0.344299663706143\n", + "\\item 0.287167993704836\n", + "\\item 0.336526813305919\n", + "\\item 0.415421989013465\n", + "\\item 0.198207337294693\n", + "\\item 0.221129445548852\n", + "\\item 0.342511069930806\n", + "\\item 0.177796608592232\n", + "\\item 0.211980040515919\n", + "\\item 0.348315076363332\n", + "\\item 0.422759397421954\n", + "\\item 0.352529123682796\n", + "\\item 0.388327315463833\n", + "\\item 0.234326523551222\n", + "\\item 0.400496463572224\n", + "\\item 0.341804224395946\n", + "\\item 0.353907414515809\n", + "\\item 0.389938720712984\n", + "\\item 0.408377437624993\n", + "\\item 0.277511342222557\n", + "\\item 0.313730928526663\n", + "\\item 0.379170562657208\n", + "\\item 0.313211294359937\n", + "\\item 0.290399893765918\n", + "\\item 0.304655711966612\n", + "\\item 0.140431108954925\n", + "\\item 0.37853543759174\n", + "\\item 0.266887249549711\n", + "\\item 0.330526646312555\n", + "\\item 0.341464699682667\n", + "\\item 0.273533201950843\n", + "\\item 0.177822552878182\n", + "\\item 0.418071842048993\n", + "\\item 0.246857576857717\n", + "\\item 0.185689799584469\n", + "\\item 0.158264184357313\n", + "\\item 0.26591173122648\n", + "\\item 0.313321913930477\n", + "\\item 0.400528630801805\n", + "\\item 0.158527531821205\n", + "\\item 0.308370939800054\n", + "\\item 0.181689774345736\n", + "\\item 0.271747395477678\n", + "\\item 0.378795510716737\n", + "\\item 0.216424337137932\n", + "\\item 0.340081650320483\n", + "\\item 0.317943739496937\n", + "\\item 0.369806232780103\n", + "\\item 0.240784228140946\n", + "\\item 0.404039249545206\n", + "\\item 0.153579037079112\n", + "\\item 0.399727939770459\n", + "\\item 0.318241938190536\n", + "\\item 0.127839212421335\n", + "\\item 0.524859593816099\n", + "\\item 0.25750221813915\n", + "\\item 0.344854347132644\n", + "\\item 0.35141902140298\n", + "\\item 0.25202915625017\n", + "\\item 0.339922235104643\n", + "\\item 0.220615198126264\n", + "\\item 0.372012667891761\n", + "\\item 0.164082455859851\n", + "\\item 0.371141413084694\n", + "\\item 0.100891961435812\n", + "\\item 0.368462328998752\n", + "\\item 0.2618651020718\n", + "\\item 0.319408120741844\n", + "\\item 0.214194205451444\n", + "\\item 0.0909424491120728\n", + "\\item 0.267139129832698\n", + "\\item 0.149238328755671\n", + "\\item 0.357737548860587\n", + "\\item 0.352896567778976\n", + "\\item 0.383829367762762\n", + "\\item 0.176386384423304\n", + "\\item 0.283559896476314\n", + "\\item 0.398636033786961\n", + "\\item 0.181003743013709\n", + "\\item 0.42378561310543\n", + "\\item 0.276721491566796\n", + "\\item 0.200125498242667\n", + "\\item 0.370930227522934\n", + "\\item 0.258689102138521\n", + "\\item 0.299359004377397\n", + "\\item 0.319794509222464\n", + "\\item 0.148875953235905\n", + "\\item 0.255320958995424\n", + "\\item 0.322694639022193\n", + "\\item 0.354721224548555\n", + "\\item 0.28870361024795\n", + "\\item 0.32416853959627\n", + "\\item 0.234924967652547\n", + "\\item 0.373320123019098\n", + "\\item 0.279944229153814\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 0.332094052715957\n", + "\\item 0.38459339128965\n", + "\\item 0.257790727274016\n", + "\\item 0.429031869309229\n", + "\\item 0.293391175751635\n", + "\\item 0.517728485428523\n", + "\\item 0.459536473162474\n", + "\\item 0.368849410330185\n", + "\\item 0.398180472391755\n", + "\\item 0.196005924623202\n", + "\\item 0.383686718869268\n", + "\\item 0.314063339424164\n", + "\\item 0.250366806140339\n", + "\\item 0.226269053120348\n", + "\\item 0.252287851752192\n", + "\\item 0.229864460536448\n", + "\\item 0.227105727270748\n", + "\\item 0.430781412672353\n", + "\\item 0.250704437404843\n", + "\\item 0.281955621584668\n", + "\\item 0.348429254968843\n", + "\\item 0.193561675202305\n", + "\\item 0.420168429210769\n", + "\\item 0.432606837455864\n", + "\\item 0.330117109250537\n", + "\\item 0.326964750450783\n", + "\\item 0.33757885381746\n", + "\\item 0.284721558826008\n", + "\\item 0.208736823311629\n", + "\\item 0.183210366757552\n", + "\\item 0.248473169794706\n", + "\\item 0.394265069630003\n", + "\\item 0.219736170953839\n", + "\\item 0.255676083227824\n", + "\\item 0.348283388737671\n", + "\\item 0.375635125736225\n", + "\\item 0.351353722484705\n", + "\\item 0.504221220972763\n", + "\\item 0.426185765977294\n", + "\\item 0.407151286934365\n", + "\\item 0.315680578760205\n", + "\\item 0.310665242412491\n", + "\\item 0.306666517642329\n", + "\\item 0.438310122193884\n", + "\\item 0.276017408939042\n", + "\\item 0.209987475642999\n", + "\\item 0.270953481769242\n", + "\\item 0.28018615882651\n", + "\\item 0.231650757547992\n", + "\\item 0.175270680690561\n", + "\\item 0.260367685343936\n", + "\\item 0.20977303390689\n", + "\\item 0.2675175209654\n", + "\\item 0.316232783562894\n", + "\\item 0.440317957264721\n", + "\\item 0.380525376016376\n", + "\\item 0.421790306403328\n", + "\\item 0.224991617380858\n", + "\\item 0.171838991407413\n", + "\\item 0.337164757606371\n", + "\\item 0.322785065435542\n", + "\\item 0.438041544227693\n", + "\\item 0.276777020224546\n", + "\\item 0.484852369492828\n", + "\\item 0.244419696602834\n", + "\\item 0.147270333980508\n", + "\\item 0.289123967581485\n", + "\\item 0.356404629354403\n", + "\\item 0.165713441702805\n", + "\\item 0.411344977941313\n", + "\\item 0.311000161185839\n", + "\\item 0.129407771395951\n", + "\\item 0.312077668723457\n", + "\\item 0.301128231889547\n", + "\\item 0.302896089944366\n", + "\\item 0.390135742236613\n", + "\\item 0.372631131884289\n", + "\\item 0.260366991694118\n", + "\\item 0.371811482451608\n", + "\\item 0.31818510375338\n", + "\\item 0.370538158188213\n", + "\\item 0.260411113287534\n", + "\\item 0.161850381559451\n", + "\\item 0.352157736561163\n", + "\\item 0.405044555786461\n", + "\\item 0.39725207928276\n", + "\\item 0.192664587249384\n", + "\\item 0.264847797901889\n", + "\\item 0.292477369868621\n", + "\\item 0.372144216292336\n", + "\\item 0.239246698860756\n", + "\\item 0.455447055596159\n", + "\\item 0.472702406132539\n", + "\\item 0.274266180163881\n", + "\\item 0.460593229518649\n", + "\\item 0.256504830882852\n", + "\\item 0.258622205454278\n", + "\\item 0.211282720727456\n", + "\\item 0.273901035535914\n", + "\\item 0.404573989749531\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 0.324886659465855\n", + "\\item 0.406992070910554\n", + "\\item 0.410421184686526\n", + "\\item 0.225293544794122\n", + "\\item 0.37976908686233\n", + "\\item 0.252638157980558\n", + "\\item 0.248134480995439\n", + "\\item 0.312558149404987\n", + "\\item 0.47334229318646\n", + "\\item 0.170039644185123\n", + "\\item 0.219707589459376\n", + "\\item 0.394946234968008\n", + "\\item 0.425533710288862\n", + "\\item 0.351705328330736\n", + "\\item 0.266488118405278\n", + "\\item 0.219256111878091\n", + "\\item 0.249592472396185\n", + "\\item 0.227109214832114\n", + "\\item 0.231126846630639\n", + "\\item 0.267511312623457\n", + "\\item 0.451807779770882\n", + "\\item 0.301991332369832\n", + "\\item 0.270605613494991\n", + "\\item 0.131417721256157\n", + "\\item 0.315527221926289\n", + "\\item 0.116265124603797\n", + "\\item 0.309900696364287\n", + "\\item 0.276053185239376\n", + "\\item 0.310669496261476\n", + "\\item 0.18800005842067\n", + "\\item 0.264611997518171\n", + "\\item 0.179115804413295\n", + "\\item 0.37435850058059\n", + "\\item 0.327278618938178\n", + "\\item 0.361577567030091\n", + "\\item 0.20134440053121\n", + "\\item 0.307438651581005\n", + "\\item 0.101234582797667\n", + "\\item 0.411672342343544\n", + "\\item 0.327093432628097\n", + "\\item 0.244240440811977\n", + "\\item 0.360192584461405\n", + "\\item 0.183900207937564\n", + "\\item 0.276664887566834\n", + "\\item 0.390174986881815\n", + "\\item 0.220058145435218\n", + "\\item 0.395646605066006\n", + "\\item 0.277196714930863\n", + "\\item 0.467252181810459\n", + "\\item 0.258776860230322\n", + "\\item 0.0954824650250838\n", + "\\item 0.0941300069196893\n", + "\\item 0.282900855923415\n", + "\\item 0.178049331179771\n", + "\\item 0.385375341260615\n", + "\\item 0.339407235570559\n", + "\\item 0.309336850008251\n", + "\\item 0.316465557021142\n", + "\\item 0.281829338871636\n", + "\\item 0.232958026925668\n", + "\\item 0.365490621047744\n", + "\\item 0.351511030884661\n", + "\\item 0.365444996477281\n", + "\\item 0.398103473833966\n", + "\\item 0.213163861020901\n", + "\\item 0.29302791113003\n", + "\\item 0.280577056403003\n", + "\\item 0.390032439499356\n", + "\\item 0.350183626841835\n", + "\\item 0.376555205481408\n", + "\\item 0.157677599264355\n", + "\\item 0.279911391163092\n", + "\\item 0.144676472419895\n", + "\\item 0.271616941020686\n", + "\\item 0.290868728798419\n", + "\\item 0.40353554163585\n", + "\\item 0.0950883690995745\n", + "\\item 0.210311999651723\n", + "\\item 0.234174884332271\n", + "\\item 0.181696379123222\n", + "\\item 0.26396344220863\n", + "\\item 0.160296691346422\n", + "\\item 0.351499829651468\n", + "\\item 0.326763930501342\n", + "\\item 0.349400915523171\n", + "\\item 0.313360325062167\n", + "\\item 0.285033900445681\n", + "\\item 0.345863436479808\n", + "\\item 0.301094838303606\n", + "\\item 0.367286550889255\n", + "\\item 0.391163523190218\n", + "\\item 0.273193095322889\n", + "\\item 0.259423657404909\n", + "\\item 0.173425869877843\n", + "\\item 0.242351184509777\n", + "\\item 0.318691466825827\n", + "\\item 0.297516297410021\n", + "\\item 0.295048661183576\n", + "\\item 0.150690745759296\n", + "\\item 0.211587877279169\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 0.370708598080032\n", + "\\item 0.178799797805531\n", + "\\item 0.183773153534862\n", + "\\item 0.374489570694495\n", + "\\item 0.255763132759401\n", + "\\item 0.234056031442083\n", + "\\item 0.288049611719215\n", + "\\item 0.273920198829169\n", + "\\item 0.367890338421532\n", + "\\item 0.296316600234512\n", + "\\item 0.236080521333803\n", + "\\item 0.195193106696145\n", + "\\item 0.292009070509115\n", + "\\item 0.274568371050966\n", + "\\item 0.185724318656489\n", + "\\item 0.450634118073178\n", + "\\item 0.281574921648685\n", + "\\item 0.290826026808897\n", + "\\item 0.199052164236997\n", + "\\item 0.309841955935421\n", + "\\item 0.290261485148646\n", + "\\item 0.357196419984881\n", + "\\item 0.187209457999595\n", + "\\item 0.399425969775074\n", + "\\item 0.34768677379568\n", + "\\item 0.380813742112539\n", + "\\item 0.311654937583673\n", + "\\item 0.295965823159187\n", + "\\item 0.366778594689628\n", + "\\item 0.330405140034284\n", + "\\item 0.307069212573278\n", + "\\item 0.25488167927238\n", + "\\item 0.22866377037818\n", + "\\item 0.311122769851216\n", + "\\item 0.159590449678469\n", + "\\item 0.126174128462461\n", + "\\item 0.336198687089353\n", + "\\item 0.177259093553216\n", + "\\item 0.299709416267021\n", + "\\item 0.242953451619538\n", + "\\item 0.185637165740092\n", + "\\item 0.138927203421678\n", + "\\item 0.375097807793825\n", + "\\item 0.320320241290937\n", + "\\item 0.336312164744381\n", + "\\item 0.436842392821616\n", + "\\item 0.31225893766212\n", + "\\item 0.157831396412195\n", + "\\item 0.136235438921579\n", + "\\item 0.363046516267496\n", + "\\item 0.253737245937679\n", + "\\item 0.211157424067052\n", + "\\item 0.390423472397378\n", + "\\item 0.32547746454755\n", + "\\item 0.267351321145354\n", + "\\item 0.253844797199875\n", + "\\item 0.117210157282305\n", + "\\item 0.345639618026518\n", + "\\item 0.32090472515261\n", + "\\item 0.3815000088839\n", + "\\item 0.30008405772251\n", + "\\item 0.307587881885152\n", + "\\item 0.364406502717354\n", + "\\item 0.348823594049645\n", + "\\item 0.242200902978348\n", + "\\item 0.3373648323614\n", + "\\item 0.252769617388977\n", + "\\item 0.226798004861141\n", + "\\item 0.218909782938336\n", + "\\item 0.309188314503881\n", + "\\item 0.201241381825896\n", + "\\item 0.366628629474554\n", + "\\item 0.195976565604624\n", + "\\item 0.276914238126956\n", + "\\item 0.280250956944628\n", + "\\item 0.342718874086175\n", + "\\item 0.300187063822915\n", + "\\item 0.323913366988501\n", + "\\item 0.19384561969623\n", + "\\item 0.239527929142778\n", + "\\item 0.405433224468348\n", + "\\item 0.276070876132097\n", + "\\item 0.344827145381863\n", + "\\item 0.273814876575377\n", + "\\item 0.296761896209209\n", + "\\item 0.30463446998812\n", + "\\item 0.332942582558952\n", + "\\item 0.351933467325804\n", + "\\item 0.201583049083599\n", + "\\item 0.303398768130819\n", + "\\item 0.34660370223661\n", + "\\item 0.13016229683115\n", + "\\item 0.183415405580014\n", + "\\item 0.497298502828086\n", + "\\item 0.442324725866373\n", + "\\item 0.30892025451515\n", + "\\item 0.354306687348965\n", + "\\item 0.300160506260149\n", + "\\item 0.269190250521237\n", + "\\item 0.395452354450928\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 0.331349106897655\n", + "\\item 0.193206482046385\n", + "\\item 0.352607086582242\n", + "\\item 0.287875329578591\n", + "\\item 0.235686392362555\n", + "\\item 0.312911524749849\n", + "\\item 0.222363801593408\n", + "\\item 0.317845237730952\n", + "\\item 0.424975037842138\n", + "\\item 0.311271575399169\n", + "\\item 0.169176128547837\n", + "\\item 0.208355945569871\n", + "\\item 0.306832024319176\n", + "\\item 0.273483153161196\n", + "\\item 0.181085927760216\n", + "\\item 0.31186740150702\n", + "\\item 0.171447161390544\n", + "\\item 0.257315961741083\n", + "\\item 0.264205175558327\n", + "\\item 0.419327434335237\n", + "\\item 0.324152756730539\n", + "\\item 0.131105594367587\n", + "\\item 0.298796058849033\n", + "\\item 0.388409197444241\n", + "\\item 0.334745069524974\n", + "\\item 0.102940503658481\n", + "\\item 0.0884187599732586\n", + "\\item 0.217919304722522\n", + "\\item 0.365188343621737\n", + "\\item 0.178795931150322\n", + "\\item 0.392022059156995\n", + "\\item 0.298628591061981\n", + "\\item 0.255266911623871\n", + "\\item 0.268902979682608\n", + "\\item 0.228510826448985\n", + "\\item 0.290006562944421\n", + "\\item 0.28487753981115\n", + "\\item 0.241012049305086\n", + "\\item 0.308246190114805\n", + "\\item 0.272670271410493\n", + "\\item 0.274055264267124\n", + "\\item 0.322776000266429\n", + "\\item 0.441729702645671\n", + "\\item 0.161248866177967\n", + "\\item 0.295177938660128\n", + "\\item 0.345694143377109\n", + "\\item 0.286372304592337\n", + "\\item 0.354822562050024\n", + "\\item 0.208897210371959\n", + "\\item 0.297404072187569\n", + "\\item 0.205198990131866\n", + "\\item 0.153611320029215\n", + "\\item 0.312722900695584\n", + "\\item 0.182648140478649\n", + "\\item 0.12145447580509\n", + "\\item 0.291018704707156\n", + "\\item 0.158189138959561\n", + "\\item 0.250836415249212\n", + "\\item 0.312321345627764\n", + "\\item 0.231124749808502\n", + "\\item 0.247973826294419\n", + "\\item 0.164324336635726\n", + "\\item 0.114647519222729\n", + "\\item 0.351139494974118\n", + "\\item 0.346454008101382\n", + "\\item 0.368000284798704\n", + "\\item 0.264989903747934\n", + "\\item 0.167932221900513\n", + "\\item 0.169731225457074\n", + "\\item 0.309011789252755\n", + "\\item 0.330261916049216\n", + "\\item 0.358467375044829\n", + "\\item 0.177723599417606\n", + "\\item 0.271394952011462\n", + "\\item 0.433075000966365\n", + "\\item 0.133539472260102\n", + "\\item 0.292046002010255\n", + "\\item 0.325494689812776\n", + "\\item 0.181714503375042\n", + "\\item 0.207301893982436\n", + "\\item 0.29048436955201\n", + "\\item 0.166761791984206\n", + "\\item 0.371446535462089\n", + "\\item 0.35959818798824\n", + "\\item 0.330983503851952\n", + "\\item 0.235204561462817\n", + "\\item 0.226555229022301\n", + "\\item 0.259665706044857\n", + "\\item 0.3342711929422\n", + "\\item 0.325507357561984\n", + "\\item 0.125723747997091\n", + "\\item 0.242458178081336\n", + "\\item 0.528902755243746\n", + "\\item 0.340749567558354\n", + "\\item 0.31311417010904\n", + "\\item 0.274003309637312\n", + "\\item 0.29758597567883\n", + "\\item 0.192316000999566\n", + "\\item 0.423913024860957\n", + "\\item 0.0944356124587745\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 0.244979358657122\n", + "\\item 0.0948999374739801\n", + "\\item 0.251578228842645\n", + "\\item 0.249667552665859\n", + "\\item 0.288974269154267\n", + "\\item 0.213469601411855\n", + "\\item 0.20140942178416\n", + "\\item 0.38901600784135\n", + "\\item 0.326939223594339\n", + "\\item 0.229814262140229\n", + "\\item 0.318327386442776\n", + "\\item 0.279757229718534\n", + "\\item 0.27617282483111\n", + "\\item 0.358883727949631\n", + "\\item 0.392854469523849\n", + "\\item 0.229494326687697\n", + "\\item 0.344961088138146\n", + "\\item 0.326959112295921\n", + "\\item 0.2841970928827\n", + "\\item 0.258168131705379\n", + "\\item 0.245718790346277\n", + "\\item 0.378273921836627\n", + "\\item 0.224570103660078\n", + "\\item 0.249665782260479\n", + "\\item 0.311249216976197\n", + "\\item 0.215291559642569\n", + "\\item 0.332660534427181\n", + "\\item 0.336375913337537\n", + "\\item 0.280483653231076\n", + "\\item 0.323978862159999\n", + "\\item 0.197848351311263\n", + "\\item 0.322119673689862\n", + "\\item 0.236534332870561\n", + "\\item 0.283837845232171\n", + "\\item 0.353875856690734\n", + "\\item 0.199595416876576\n", + "\\item 0.363444088080126\n", + "\\item 0.2705142446258\n", + "\\item 0.304485593105924\n", + "\\item 0.294918195558659\n", + "\\item 0.356181969654215\n", + "\\item 0.233694459753665\n", + "\\item 0.189034922846757\n", + "\\item 0.301445899075546\n", + "\\item 0.280562490433872\n", + "\\item 0.30226865594029\n", + "\\item 0.237049274291033\n", + "\\item 0.269866360881481\n", + "\\item 0.300932437400468\n", + "\\item 0.286655046943509\n", + "\\item 0.293264497601855\n", + "\\item 0.306363629491001\n", + "\\item 0.260895916438741\n", + "\\item 0.264620853579156\n", + "\\item 0.261187099983147\n", + "\\item 0.308829356334762\n", + "\\item 0.29467201437366\n", + "\\item 0.279696237565325\n", + "\\item 0.229263908061672\n", + "\\item 0.252214537134172\n", + "\\item 0.289596054064846\n", + "\\item 0.339751168512726\n", + "\\item 0.191837665559828\n", + "\\item 0.172399021878743\n", + "\\item 0.288037549442436\n", + "\\item 0.280965196040492\n", + "\\item 0.379634694981935\n", + "\\item 0.350313448627821\n", + "\\item 0.268969264442324\n", + "\\item 0.291558436338441\n", + "\\item 0.224888558928751\n", + "\\item 0.324927875410787\n", + "\\item 0.208720653694351\n", + "\\item 0.269757840379364\n", + "\\item 0.20668637834821\n", + "\\item 0.422182342862277\n", + "\\item 0.139949129659473\n", + "\\item 0.207908295656543\n", + "\\item 0.32880517972402\n", + "\\item 0.338965232093753\n", + "\\item 0.313806927405908\n", + "\\item 0.311092801987128\n", + "\\item 0.342908721766759\n", + "\\item 0.172932395830411\n", + "\\item 0.285635304827457\n", + "\\item 0.288211800675467\n", + "\\item 0.281480754570623\n", + "\\item 0.283927329246563\n", + "\\item 0.303964983490144\n", + "\\item 0.246285459227315\n", + "\\item 0.247409046327145\n", + "\\item 0.293095000966431\n", + "\\item 0.292117669878465\n", + "\\item 0.256508253525646\n", + "\\item 0.139986293237004\n", + "\\item 0.318678135547664\n", + "\\item 0.318667484560486\n", + "\\item 0.281822470741504\n", + "\\item 0.229343310639206\n", + "\\item 0.318954804643264\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 0.196851519320353\n", + "\\item 0.27927997059011\n", + "\\item 0.263431754422656\n", + "\\item 0.163315690007461\n", + "\\item 0.27877019902343\n", + "\\item 0.252329252672697\n", + "\\item 0.283973306529719\n", + "\\item 0.347057942065369\n", + "\\item 0.389120816772467\n", + "\\item 0.253700889871336\n", + "\\item 0.353176911787104\n", + "\\item 0.284724546751075\n", + "\\item 0.290322865560699\n", + "\\item 0.37464896595684\n", + "\\item 0.0882009339808019\n", + "\\item 0.238329276151835\n", + "\\item 0.266958485759229\n", + "\\item 0.175186887293252\n", + "\\item 0.242856139738777\n", + "\\item 0.31463110967958\n", + "\\item 0.266596549396969\n", + "\\item 0.290538712564051\n", + "\\item 0.378100285409597\n", + "\\item 0.189242113174111\n", + "\\item 0.448497842552261\n", + "\\item 0.207535747079596\n", + "\\item 0.39697827563997\n", + "\\item 0.190336626796742\n", + "\\item 0.322050292999951\n", + "\\item 0.222384200696703\n", + "\\item 0.412259139467663\n", + "\\item 0.346794468702853\n", + "\\item 0.363877691952598\n", + "\\item 0.244132843892985\n", + "\\item 0.409633964505011\n", + "\\item 0.20348143585657\n", + "\\item 0.317444659949795\n", + "\\item 0.214167114502841\n", + "\\item 0.321359895811954\n", + "\\item 0.323327975468279\n", + "\\item 0.254766041280374\n", + "\\item 0.322660120750269\n", + "\\item 0.3084291507042\n", + "\\item 0.318029243498686\n", + "\\item 0.300490416597633\n", + "\\item 0.360526793460859\n", + "\\item 0.372466022261692\n", + "\\item 0.319224044484375\n", + "\\item 0.356182820446192\n", + "\\item 0.145410790961727\n", + "\\item 0.421268438664529\n", + "\\item 0.307310936459784\n", + "\\item 0.180732974985658\n", + "\\item 0.3542141215105\n", + "\\item 0.148701539368684\n", + "\\item 0.23768821509554\n", + "\\item 0.234754930835264\n", + "\\item 0.230259252800343\n", + "\\item 0.338038466048049\n", + "\\item 0.198184457766489\n", + "\\item 0.278284476384618\n", + "\\item 0.372775065901618\n", + "\\item 0.199004087290083\n", + "\\item 0.300270435844717\n", + "\\item 0.428636030949951\n", + "\\item 0.230165252654789\n", + "\\item 0.246155607125876\n", + "\\item 0.287435451324133\n", + "\\item 0.311832192402925\n", + "\\item 0.31284394693899\n", + "\\item 0.248927510752827\n", + "\\item 0.294591797032877\n", + "\\item 0.328397355871127\n", + "\\item 0.372854087086518\n", + "\\item 0.302333223606234\n", + "\\item 0.269026439400599\n", + "\\item 0.140268751996332\n", + "\\item 0.151268855082756\n", + "\\item 0.179053199019901\n", + "\\item 0.309450070517857\n", + "\\item 0.334545518425933\n", + "\\item 0.246560704332715\n", + "\\item 0.247526897076038\n", + "\\item 0.343107794561093\n", + "\\item 0.221654824486232\n", + "\\item 0.363755663735867\n", + "\\item 0.319487917856787\n", + "\\item 0.420994609051991\n", + "\\item 0.23180595089783\n", + "\\item 0.221454320144416\n", + "\\item 0.248984377018934\n", + "\\item 0.344140126226316\n", + "\\item 0.39681562487821\n", + "\\item 0.344595201779217\n", + "\\item 0.1322100781294\n", + "\\item 0.363505454088053\n", + "\\item 0.143065965633568\n", + "\\item 0.396721872445415\n", + "\\item 0.230422559036844\n", + "\\item 0.144238888869237\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 0.421635183373581\n", + "\\item 0.166096729895741\n", + "\\item 0.169377473609618\n", + "\\item 0.205894848417186\n", + "\\item 0.171528811672173\n", + "\\item 0.233715959795706\n", + "\\item 0.275421004550705\n", + "\\item 0.0805377298822702\n", + "\\item 0.297434284218337\n", + "\\item 0.15848748917125\n", + "\\item 0.302945350800083\n", + "\\item 0.245223957992799\n", + "\\item 0.264625960427132\n", + "\\item 0.241649311259129\n", + "\\item 0.29028913251543\n", + "\\item 0.229761562390336\n", + "\\item 0.255768958164464\n", + "\\item 0.100760465584538\n", + "\\item 0.1895530928574\n", + "\\item 0.312659739480667\n", + "\\item 0.274229565034957\n", + "\\item 0.261948384825757\n", + "\\item 0.238708242456207\n", + "\\item 0.323190360839755\n", + "\\item 0.348823245078644\n", + "\\item 0.254806508886571\n", + "\\item 0.248515710491961\n", + "\\item 0.238085950202133\n", + "\\item 0.24513801002362\n", + "\\item 0.259361273580367\n", + "\\item 0.136679440547296\n", + "\\item 0.135039674783136\n", + "\\item 0.129817525738053\n", + "\\item 0.331950791204113\n", + "\\item 0.350075499634443\n", + "\\item 0.219452618069452\n", + "\\item 0.268149282082247\n", + "\\item 0.121033050662711\n", + "\\item 0.168663591074357\n", + "\\item 0.276626875900504\n", + "\\item 0.212386254847358\n", + "\\item 0.210580937172676\n", + "\\item 0.36310319284285\n", + "\\item 0.205690269862955\n", + "\\item 0.0941768604702436\n", + "\\item 0.201998214814862\n", + "\\item 0.223785561309569\n", + "\\item 0.152922310074616\n", + "\\item 0.320696798772257\n", + "\\item 0.263891099162227\n", + "\\item 0.0855379414541781\n", + "\\item 0.28398302919772\n", + "\\item 0.0812582762302142\n", + "\\item 0.153925579122687\n", + "\\item 0.0771184156509452\n", + "\\item 0.117203496252674\n", + "\\item 0.24872414123639\n", + "\\item 0.19875293616229\n", + "\\item 0.136580083943768\n", + "\\item 0.153747952166329\n", + "\\item 0.292564721400047\n", + "\\item 0.318862350370779\n", + "\\item 0.243366425748891\n", + "\\item 0.191263288820801\n", + "\\item 0.278471593204903\n", + "\\item 0.293736848119673\n", + "\\item 0.321328622459867\n", + "\\item 0.245395609236038\n", + "\\item 0.321027408982259\n", + "\\item 0.182842431398013\n", + "\\item 0.325365352704107\n", + "\\item 0.410485905268878\n", + "\\item 0.210519075372788\n", + "\\item 0.205923700161665\n", + "\\item 0.246894129854056\n", + "\\item 0.0898707821463425\n", + "\\item 0.179591492745708\n", + "\\item 0.244965912847658\n", + "\\item 0.335758829520783\n", + "\\item 0.354836274821408\n", + "\\item 0.244270301662192\n", + "\\item 0.151553526418555\n", + "\\item 0.261985584535811\n", + "\\item 0.276269480302258\n", + "\\item 0.210993597676478\n", + "\\item 0.289049693608857\n", + "\\item 0.215100618038363\n", + "\\item 0.172825073467665\n", + "\\item 0.219238877681694\n", + "\\item 0.392727452439966\n", + "\\item 0.282638494841056\n", + "\\item 0.270182512736896\n", + "\\item 0.218739081927083\n", + "\\item 0.259012492802889\n", + "\\item 0.279767280518718\n", + "\\item 0.253792342404725\n", + "\\item 0.334299929997907\n", + "\\item 0.155763985064853\n", + "\\item 0.220906120260214\n", + "\\item 0.279945444068635\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 0.257258248426455\n", + "\\item 0.222914018434036\n", + "\\item 0.158728540488583\n", + "\\item 0.24577959183366\n", + "\\item 0.389483982387788\n", + "\\item 0.165700668544317\n", + "\\item 0.174991331860608\n", + "\\item 0.175604047877581\n", + "\\item 0.159400871059644\n", + "\\item 0.131420247715403\n", + "\\item 0.205625085919131\n", + "\\item 0.194382438980421\n", + "\\item 0.220861632974336\n", + "\\item 0.200372287501229\n", + "\\item 0.217510842484294\n", + "\\item 0.242936183381174\n", + "\\item 0.160584541427061\n", + "\\item 0.184654303851185\n", + "\\item 0.239221899971246\n", + "\\item 0.107137856489892\n", + "\\item 0.207347357582062\n", + "\\item 0.122107704816658\n", + "\\item 0.201569789135807\n", + "\\item 0.135285436875131\n", + "\\item 0.144447213078966\n", + "\\item 0.1940948181508\n", + "\\item 0.105558824433904\n", + "\\item 0.16793121288173\n", + "\\item 0.187701684244883\n", + "\\item 0.1517781385962\n", + "\\item 0.251063817939802\n", + "\\item 0.233313955901201\n", + "\\item 0.18985588607657\n", + "\\item 0.197699967098263\n", + "\\item 0.185241931458102\n", + "\\item 0.2856676686984\n", + "\\item 0.194358116438783\n", + "\\item 0.202565428270837\n", + "\\item 0.234007182937941\n", + "\\item 0.245717229367596\n", + "\\item 0.294703267737771\n", + "\\item 0.206044782498684\n", + "\\item 0.330564065457656\n", + "\\item 0.272853524384936\n", + "\\item 0.122773125545744\n", + "\\item 0.218202287805546\n", + "\\item 0.228085717547745\n", + "\\item 0.17392845542831\n", + "\\item 0.159253857045582\n", + "\\item 0.168206163487045\n", + "\\item 0.224948041176812\n", + "\\item 0.134044414768105\n", + "\\item 0.269609445668343\n", + "\\item 0.129269606199571\n", + "\\item 0.206148348830374\n", + "\\item 0.256936040001196\n", + "\\item 0.113274396940961\n", + "\\item 0.226938802119389\n", + "\\item 0.167977096957783\n", + "\\item 0.168197423016872\n", + "\\item 0.214661707312387\n", + "\\item 0.231726412938123\n", + "\\item 0.0880383900382884\n", + "\\item 0.338633638058686\n", + "\\item 0.325508847990115\n", + "\\item 0.164192130457134\n", + "\\item 0.228240692209533\n", + "\\item 0.210058367549284\n", + "\\item 0.219290196598338\n", + "\\item 0.178681774777737\n", + "\\item 0.134934636490689\n", + "\\item 0.194330336098798\n", + "\\item 0.257134424257324\n", + "\\item 0.266660144438031\n", + "\\item 0.0955162805372619\n", + "\\item 0.233705771995223\n", + "\\item 0.218720865206951\n", + "\\item 0.149401236928804\n", + "\\item 0.319178494719881\n", + "\\item 0.100589846249008\n", + "\\item 0.378260191396205\n", + "\\item 0.20420967020071\n", + "\\item 0.19076166658183\n", + "\\item 0.285115563961165\n", + "\\item 0.19857155333186\n", + "\\item 0.218135859040543\n", + "\\item 0.135197103574843\n", + "\\item 0.0949249454866092\n", + "\\item 0.215287377298089\n", + "\\item 0.176626407964224\n", + "\\item 0.21236584937486\n", + "\\item 0.238328023504547\n", + "\\item 0.15311176060905\n", + "\\item 0.202724587699465\n", + "\\item 0.166684795656399\n", + "\\item 0.214638288894393\n", + "\\item 0.142914215225979\n", + "\\item 0.22385751118567\n", + "\\item 0.102826147772074\n", + "\\item 0.270552028164813\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 0.2278250286913\n", + "\\item 0.388262606185008\n", + "\\item 0.158229164583231\n", + "\\item 0.257674841821399\n", + "\\item 0.17418298210114\n", + "\\item 0.31227986864744\n", + "\\item 0.254773176321177\n", + "\\item 0.193603783166025\n", + "\\item 0.354293887376826\n", + "\\item 0.255541359255184\n", + "\\item 0.301529711473977\n", + "\\item 0.322596939878699\n", + "\\item 0.258448365437261\n", + "\\item 0.191643151043897\n", + "\\item 0.158641399624221\n", + "\\item 0.388854898199363\n", + "\\item 0.231640864515129\n", + "\\item 0.243850475099965\n", + "\\item 0.238645158920034\n", + "\\item 0.329681956349389\n", + "\\item 0.283623141564203\n", + "\\item 0.435891870500998\n", + "\\item 0.34049770984922\n", + "\\item 0.213201802796579\n", + "\\item 0.274740514771302\n", + "\\item 0.215997430966853\n", + "\\item 0.266754908799908\n", + "\\item 0.24326552605608\n", + "\\item 0.167008791704146\n", + "\\item 0.323626383610208\n", + "\\item 0.188808813433467\n", + "\\item 0.170248319094747\n", + "\\item 0.319906904743469\n", + "\\item 0.321373687960368\n", + "\\item 0.224399160966762\n", + "\\item 0.220822351830805\n", + "\\item 0.290256980145927\n", + "\\item 0.211477746291445\n", + "\\item 0.271107269050894\n", + "\\item 0.209177890920856\n", + "\\item 0.271174898105709\n", + "\\item 0.206528950177329\n", + "\\item 0.29360235935472\n", + "\\item 0.269008830016646\n", + "\\item 0.335288165843755\n", + "\\item 0.261340927317454\n", + "\\item 0.218159116629105\n", + "\\item 0.279496641675554\n", + "\\item 0.18808816112981\n", + "\\item 0.278400369130299\n", + "\\item 0.277215912375403\n", + "\\item 0.135158526417255\n", + "\\item 0.42454813221739\n", + "\\item 0.270101895944494\n", + "\\item 0.415714518377734\n", + "\\item 0.36370646054648\n", + "\\item 0.151710131588268\n", + "\\item 0.269141657025257\n", + "\\item 0.294647389241556\n", + "\\item 0.278375856193559\n", + "\\item 0.189819022056283\n", + "\\item 0.272071698267136\n", + "\\item 0.284893697017373\n", + "\\item 0.323895857051797\n", + "\\item 0.187682364609043\n", + "\\item 0.243002864448369\n", + "\\item 0.439299188476549\n", + "\\item 0.293392747643421\n", + "\\item 0.384824415999675\n", + "\\item 0.26620383712621\n", + "\\item 0.204044769326676\n", + "\\item 0.250859367699482\n", + "\\item 0.25853826747101\n", + "\\item 0.245199797934644\n", + "\\item 0.285093394798369\n", + "\\item 0.202171492478061\n", + "\\item 0.209600859836239\n", + "\\item 0.239214475935525\n", + "\\item 0.26320869600691\n", + "\\item 0.0771438453029291\n", + "\\item 0.285211363219084\n", + "\\item 0.143354601022421\n", + "\\item 0.370532619853416\n", + "\\item 0.284832621334978\n", + "\\item 0.278021868866158\n", + "\\item 0.418590610496983\n", + "\\item 0.380977236154625\n", + "\\item 0.298560332628452\n", + "\\item 0.187042697670772\n", + "\\item 0.275654891281456\n", + "\\item 0.229477581818487\n", + "\\item 0.312699461544508\n", + "\\item 0.234172301378569\n", + "\\item 0.339100097807886\n", + "\\item 0.368340585549273\n", + "\\item 0.21791019275137\n", + "\\item 0.30461702430725\n", + "\\item 0.344873726824979\n", + "\\item 0.359043104105621\n", + "\\item 0.229016232640231\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 0.269858402615892\n", + "\\item 0.147283313986695\n", + "\\item 0.192394664791336\n", + "\\item 0.167001350254071\n", + "\\item 0.251780223525672\n", + "\\item 0.297137441715475\n", + "\\item 0.301769733334231\n", + "\\item 0.191842615468913\n", + "\\item 0.164156691337795\n", + "\\item 0.250222267084484\n", + "\\item 0.1768865679748\n", + "\\item 0.254624560285339\n", + "\\item 0.332361058179867\n", + "\\item 0.176354473662607\n", + "\\item 0.141022803934492\n", + "\\item 0.262424911052231\n", + "\\item 0.231895136057478\n", + "\\item 0.327019740478221\n", + "\\item 0.148777132309127\n", + "\\item 0.290786619352068\n", + "\\item 0.273257333344866\n", + "\\item 0.220773929519877\n", + "\\item 0.180886158895687\n", + "\\item 0.194952247562846\n", + "\\item 0.260678087226917\n", + "\\item 0.254244086577738\n", + "\\item 0.117207936416713\n", + "\\item 0.499500340774281\n", + "\\item 0.179452602236878\n", + "\\item 0.0984041919655838\n", + "\\item 0.244283919643126\n", + "\\item 0.232218151560595\n", + "\\item 0.297403173057257\n", + "\\item 0.220881887117169\n", + "\\item 0.308547006043572\n", + "\\item 0.3133183250984\n", + "\\item 0.173646240100833\n", + "\\item 0.260847158170022\n", + "\\item 0.234422278415976\n", + "\\item 0.311839663798025\n", + "\\item 0.117587479599947\n", + "\\item 0.272161707686998\n", + "\\item 0.331895313602721\n", + "\\item 0.159817645520046\n", + "\\item 0.186547466864392\n", + "\\item 0.351177135940234\n", + "\\item 0.157628963781387\n", + "\\item 0.176099155854581\n", + "\\item 0.219383961291741\n", + "\\item 0.275679638466476\n", + "\\item 0.106846821492302\n", + "\\item 0.137144295326246\n", + "\\item 0.152095518454226\n", + "\\item 0.294338969544307\n", + "\\item 0.139786861261781\n", + "\\item 0.329704152795965\n", + "\\item 0.127015386702139\n", + "\\item 0.174854197256521\n", + "\\item 0.346876404013794\n", + "\\item 0.131279300172244\n", + "\\item 0.246758817339502\n", + "\\item 0.242909742686391\n", + "\\item 0.260918670663749\n", + "\\item 0.174442068373882\n", + "\\item 0.30938593892223\n", + "\\item 0.162653604854686\n", + "\\item 0.118096540074749\n", + "\\item 0.16209420720756\n", + "\\item 0.106125064766874\n", + "\\item 0.136400763226516\n", + "\\item 0.0708377585626458\n", + "\\item 0.279271519953051\n", + "\\item 0.313804901059813\n", + "\\item 0.275190820457441\n", + "\\item 0.169633258476565\n", + "\\item 0.341972004478922\n", + "\\item 0.116570271842293\n", + "\\item 0.299762393829505\n", + "\\item 0.276723023133206\n", + "\\item 0.202903304276183\n", + "\\item 0.246758299409104\n", + "\\item 0.251315162821004\n", + "\\item 0.255616874862019\n", + "\\item 0.210323064990689\n", + "\\item 0.403141690188383\n", + "\\item 0.231860930993728\n", + "\\item 0.230609404860957\n", + "\\item 0.253212628001785\n", + "\\item 0.0890496395154166\n", + "\\item 0.272210390689833\n", + "\\item 0.322410077386891\n", + "\\item 0.317663841329603\n", + "\\item 0.20007147440877\n", + "\\item 0.255988601189298\n", + "\\item 0.199596272051206\n", + "\\item 0.3468115098093\n", + "\\item 0.33174069939238\n", + "\\item 0.267707290131547\n", + "\\item 0.22512935005381\n", + "\\item 0.335340304287724\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 0.200980562549425\n", + "\\item 0.206979782387144\n", + "\\item 0.203704375107177\n", + "\\item 0.238935937278897\n", + "\\item 0.256235256089007\n", + "\\item 0.253762590332308\n", + "\\item 0.168368996408058\n", + "\\item 0.21139846966611\n", + "\\item 0.196877760356779\n", + "\\item 0.255912733972\n", + "\\item 0.259338986616885\n", + "\\item 0.298116791459483\n", + "\\item 0.326037039014283\n", + "\\item 0.155550524766946\n", + "\\item 0.260830311904702\n", + "\\item 0.369207151251499\n", + "\\item 0.239089999373206\n", + "\\item 0.43636915876192\n", + "\\item 0.140806308321345\n", + "\\item 0.222210913832941\n", + "\\item 0.179374987557996\n", + "\\item 0.237829955908279\n", + "\\item 0.25732055314798\n", + "\\item 0.182109939961282\n", + "\\item 0.195623027937567\n", + "\\item 0.298599488569912\n", + "\\item 0.164297178012855\n", + "\\item 0.303927385648307\n", + "\\item 0.344798374498967\n", + "\\item 0.16920261567823\n", + "\\item 0.153366266345106\n", + "\\item 0.20798974535652\n", + "\\item 0.205506662501711\n", + "\\item 0.207823770867849\n", + "\\item 0.33356494058306\n", + "\\item 0.278379306906097\n", + "\\item 0.226640228901135\n", + "\\item 0.417323806522057\n", + "\\item 0.206220188985699\n", + "\\item 0.237331221789547\n", + "\\item 0.140573047443557\n", + "\\item 0.338364848470254\n", + "\\item 0.251747537157399\n", + "\\item 0.222314529033881\n", + "\\item 0.232454905490328\n", + "\\item 0.199592420665997\n", + "\\item 0.25126016713931\n", + "\\item 0.275347074723821\n", + "\\item 0.176443380065372\n", + "\\item 0.284243159996426\n", + "\\item 0.199268733184151\n", + "\\item 0.182396637883042\n", + "\\item 0.14573204152993\n", + "\\item 0.195813878303049\n", + "\\item 0.202852164576181\n", + "\\item 0.203071772050862\n", + "\\item 0.240868340097476\n", + "\\item 0.368087291110847\n", + "\\item 0.282979498975096\n", + "\\item 0.344160265748965\n", + "\\item 0.209632306960506\n", + "\\item 0.268818755023539\n", + "\\item 0.399149991575388\n", + "\\item 0.172386563625316\n", + "\\item 0.232484047325827\n", + "\\item 0.201333648616924\n", + "\\item 0.196359839906994\n", + "\\item 0.22358164112435\n", + "\\item 0.248267464095202\n", + "\\item 0.219313920703986\n", + "\\item 0.279993667687417\n", + "\\item 0.28319071157824\n", + "\\item 0.248755366490863\n", + "\\item 0.368940216027192\n", + "\\item 0.328881243530933\n", + "\\item 0.330230029812546\n", + "\\item 0.3002971871346\n", + "\\item 0.264950549342062\n", + "\\item 0.176424788821482\n", + "\\item 0.0683686125058473\n", + "\\item 0.22999688303861\n", + "\\item 0.195134741606483\n", + "\\item 0.201324762489813\n", + "\\item 0.166847713978764\n", + "\\item 0.148933466535391\n", + "\\item 0.257237680585201\n", + "\\item 0.198915175011158\n", + "\\item 0.299843720321092\n", + "\\item 0.207043235456778\n", + "\\item 0.0938874307846078\n", + "\\item 0.184961364795411\n", + "\\item 0.205500527405539\n", + "\\item 0.310797156839784\n", + "\\item 0.277911097827111\n", + "\\item 0.292557130268245\n", + "\\item 0.236521508181892\n", + "\\item 0.265999712356422\n", + "\\item 0.192826674322596\n", + "\\item 0.291401515652236\n", + "\\item 0.264795019293554\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 0.173049919549428\n", + "\\item 0.256872840563969\n", + "\\item 0.215887074133044\n", + "\\item 0.216971134840012\n", + "\\item 0.272338022412648\n", + "\\item 0.357639335992024\n", + "\\item 0.357058199868104\n", + "\\item 0.241901182020251\n", + "\\item 0.159590618371359\n", + "\\item 0.227564073143155\n", + "\\item 0.292583244953369\n", + "\\item 0.0962679043194664\n", + "\\item 0.319499440452862\n", + "\\item 0.24843483334477\n", + "\\item 0.311940217364533\n", + "\\item 0.225830416670123\n", + "\\item 0.168663279226167\n", + "\\item 0.266764015550772\n", + "\\item 0.389943701858948\n", + "\\item 0.268904118050056\n", + "\\item 0.29549577570092\n", + "\\item 0.31654841109492\n", + "\\item 0.257798715630022\n", + "\\item 0.386637289303654\n", + "\\item 0.345766880983595\n", + "\\item 0.229039067089633\n", + "\\item 0.356604404739488\n", + "\\item 0.31141225401274\n", + "\\item 0.119446002260225\n", + "\\item 0.224770906842058\n", + "\\item 0.373799716115387\n", + "\\item 0.389174353802423\n", + "\\item 0.226539279217755\n", + "\\item 0.147825750028708\n", + "\\item 0.357084635728067\n", + "\\item 0.169224977587093\n", + "\\item 0.263351943418941\n", + "\\item 0.0692075546280129\n", + "\\item 0.215891414449737\n", + "\\item 0.258145474078189\n", + "\\item 0.212697934068215\n", + "\\item 0.319524491004134\n", + "\\item 0.220334645568127\n", + "\\item 0.279552025930799\n", + "\\item 0.0725267763514308\n", + "\\item 0.240296784856529\n", + "\\item 0.365376557838565\n", + "\\item 0.281297310534887\n", + "\\item 0.354382931956085\n", + "\\item 0.269394687409409\n", + "\\item 0.257281251889821\n", + "\\item 0.211234264942388\n", + "\\item 0.0995399572169159\n", + "\\item 0.332488186215358\n", + "\\item 0.146439418627306\n", + "\\item 0.175823075396997\n", + "\\item 0.176205543869904\n", + "\\item 0.237392946015306\n", + "\\item 0.231613646580148\n", + "\\item 0.198691940603025\n", + "\\item 0.247300757493981\n", + "\\item 0.296674105562805\n", + "\\item 0.177425562264087\n", + "\\item 0.368388414620836\n", + "\\item 0.254498468893323\n", + "\\item 0.341321156360929\n", + "\\item 0.189486651252285\n", + "\\item 0.297267801463069\n", + "\\item 0.285089131205765\n", + "\\item 0.203929844510825\n", + "\\item 0.137193605807233\n", + "\\item 0.161155148177688\n", + "\\item 0.269368037984533\n", + "\\item 0.388664468449817\n", + "\\item 0.311008850003513\n", + "\\item 0.0669544128507544\n", + "\\item 0.314700457357601\n", + "\\item 0.175543023398833\n", + "\\item 0.2709093633061\n", + "\\item 0.216567150882603\n", + "\\item 0.348730386061658\n", + "\\item 0.309485807585113\n", + "\\item 0.24294761144031\n", + "\\item 0.237987784624591\n", + "\\item 0.309428405622311\n", + "\\item 0.125847620155391\n", + "\\item 0.193270963135714\n", + "\\item 0.136388590429908\n", + "\\item 0.317209714572503\n", + "\\item 0.191483151488947\n", + "\\item 0.299699627917452\n", + "\\item 0.338375330502782\n", + "\\item 0.180467676217484\n", + "\\item 0.301369097642032\n", + "\\item 0.157884235720364\n", + "\\item 0.198364456378754\n", + "\\item 0.255113692083774\n", + "\\item 0.218750087322415\n", + "\\item 0.317895789739558\n", + "\\item 0.314216384496287\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 0.170349651698045\n", + "\\item 0.282180161734834\n", + "\\item 0.56071120097345\n", + "\\item 0.15894469740748\n", + "\\item 0.225266683654183\n", + "\\item 0.224082329099934\n", + "\\item 0.359045564549901\n", + "\\item 0.276853986679295\n", + "\\item 0.171666911331871\n", + "\\item 0.404434180401677\n", + "\\item 0.458469725857648\n", + "\\item 0.240013560205059\n", + "\\item 0.391096076807934\n", + "\\item 0.356176629206656\n", + "\\item 0.267701622041645\n", + "\\item 0.311369582383505\n", + "\\item 0.319866110402902\n", + "\\item 0.256982492220297\n", + "\\item 0.317344600552323\n", + "\\item 0.271061426327293\n", + "\\item 0.436850914678385\n", + "\\item 0.436301825309559\n", + "\\item 0.256431943323817\n", + "\\item 0.384729159403712\n", + "\\item 0.261856622222753\n", + "\\item 0.189340274119471\n", + "\\item 0.199550881016504\n", + "\\item 0.264034124202319\n", + "\\item 0.292175413781546\n", + "\\item 0.119498807897007\n", + "\\item 0.279310041977163\n", + "\\item 0.165333979196846\n", + "\\item 0.218506555828969\n", + "\\item 0.180551631838225\n", + "\\item 0.441906214000167\n", + "\\item 0.347446802157562\n", + "\\item 0.351400786903268\n", + "\\item 0.200195422440323\n", + "\\item 0.27625047044107\n", + "\\item 0.396118082520719\n", + "\\item 0.281022132405287\n", + "\\item 0.401143470098804\n", + "\\item 0.202332904649376\n", + "\\item 0.401669127170551\n", + "\\item 0.266964427904706\n", + "\\item 0.37960596366837\n", + "\\item 0.37730749647631\n", + "\\item 0.268960426371878\n", + "\\item 0.154013064341687\n", + "\\item 0.169013586870263\n", + "\\item 0.160640266295709\n", + "\\item 0.328070055645343\n", + "\\item 0.249122018412393\n", + "\\item 0.211971238059017\n", + "\\item 0.299146012225638\n", + "\\item 0.364384191041451\n", + "\\item 0.258050501073987\n", + "\\item 0.315142649143667\n", + "\\item 0.313630541626547\n", + "\\item 0.400409227935389\n", + "\\item 0.330328752375004\n", + "\\item 0.427688656869594\n", + "\\item 0.358802745224647\n", + "\\item 0.518614510176684\n", + "\\item 0.174409032230501\n", + "\\item 0.300275824887129\n", + "\\item 0.200576251299218\n", + "\\item 0.364628092123457\n", + "\\item 0.270951242943692\n", + "\\item 0.371580994446114\n", + "\\item 0.307118843362263\n", + "\\item 0.474515058378926\n", + "\\item 0.306554196562686\n", + "\\item 0.331816975324186\n", + "\\item 0.222348594198191\n", + "\\item 0.264025548824841\n", + "\\item 0.151302185382742\n", + "\\item 0.292473519912852\n", + "\\item 0.319322528648665\n", + "\\item 0.349005994159946\n", + "\\item 0.40616768823576\n", + "\\item 0.313784096447657\n", + "\\item 0.400128405566494\n", + "\\item 0.407790626127928\n", + "\\item 0.424964886212983\n", + "\\item 0.399645852966655\n", + "\\item 0.365973268689236\n", + "\\item 0.545873606065003\n", + "\\item 0.352890243501941\n", + "\\item 0.287388271114617\n", + "\\item 0.443650712040849\n", + "\\item 0.389513108992164\n", + "\\item 0.259944968739995\n", + "\\item 0.186884219365002\n", + "\\item 0.339630085106129\n", + "\\item 0.2945581653313\n", + "\\item 0.149508539689895\n", + "\\item 0.306568091090059\n", + "\\item 0.187453923166009\n", + "\\item 0.355290826916306\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 0.379178731523427\n", + "\\item 0.286475023160391\n", + "\\item 0.274161395166463\n", + "\\item 0.332403981582158\n", + "\\item 0.307883087375886\n", + "\\item 0.254733697187566\n", + "\\item 0.343425137877406\n", + "\\item 0.287796301617702\n", + "\\item 0.208358357426799\n", + "\\item 0.164699982775298\n", + "\\item 0.278623453521251\n", + "\\item 0.342186383415009\n", + "\\item 0.289359385402093\n", + "\\item 0.283637593631919\n", + "\\item 0.29208260388685\n", + "\\item 0.334205813009461\n", + "\\item 0.301532766974275\n", + "\\item 0.193781180311982\n", + "\\item 0.385230403488709\n", + "\\item 0.17819377983508\n", + "\\item 0.361100824526746\n", + "\\item 0.276672337444094\n", + "\\item 0.270361030071607\n", + "\\item 0.270946923130954\n", + "\\item 0.282092455910821\n", + "\\item 0.251936813470717\n", + "\\item 0.183235153602062\n", + "\\item 0.38344039085754\n", + "\\item 0.319474025932731\n", + "\\item 0.186143798531251\n", + "\\item 0.351379324857255\n", + "\\item 0.171636479561053\n", + "\\item 0.30537083412419\n", + "\\item 0.2529552983723\n", + "\\item 0.252821229887524\n", + "\\item 0.268079017275404\n", + "\\item 0.290259092913354\n", + "\\item 0.13271598680931\n", + "\\item 0.248308591161266\n", + "\\item 0.263077904589021\n", + "\\item 0.411507703187954\n", + "\\item 0.367845524865388\n", + "\\item 0.311061267324721\n", + "\\item 0.243325926606774\n", + "\\item 0.346531931532035\n", + "\\item 0.294781852367994\n", + "\\item 0.481703027413461\n", + "\\item 0.250532299411682\n", + "\\item 0.264732371080655\n", + "\\item 0.20385020652548\n", + "\\item 0.30853178180882\n", + "\\item 0.205085865539145\n", + "\\item 0.221723745473468\n", + "\\item 0.30352039700236\n", + "\\item 0.281884827045832\n", + "\\item 0.390211056386985\n", + "\\item 0.353110858689705\n", + "\\item 0.262967297964223\n", + "\\item 0.149684066278062\n", + "\\item 0.270729335687128\n", + "\\item 0.321268477352645\n", + "\\item 0.313900082985124\n", + "\\item 0.236384176141262\n", + "\\item 0.194186343159072\n", + "\\item 0.284835184761706\n", + "\\item 0.260082561980029\n", + "\\item 0.164979468290168\n", + "\\item 0.293775588855125\n", + "\\item 0.146119073797043\n", + "\\item 0.25139816570219\n", + "\\item 0.324246588632687\n", + "\\item 0.258425224241598\n", + "\\item 0.243249405502452\n", + "\\item 0.199413675969023\n", + "\\item 0.223224988622261\n", + "\\item 0.350528745504338\n", + "\\item 0.102933469707259\n", + "\\item 0.2056903624273\n", + "\\item 0.343882633256084\n", + "\\item 0.320832037569207\n", + "\\item 0.459834529851201\n", + "\\item 0.270606821062347\n", + "\\item 0.226152993709528\n", + "\\item 0.269473161821835\n", + "\\item 0.295360341718618\n", + "\\item 0.216733335478762\n", + "\\item 0.282625709922748\n", + "\\item 0.333942899125397\n", + "\\item 0.209705113682445\n", + "\\item 0.253259599534075\n", + "\\item 0.393013342837135\n", + "\\item 0.228687543470094\n", + "\\item 0.241682933364487\n", + "\\item 0.169682546327379\n", + "\\item 0.244831864207757\n", + "\\item 0.345726109590495\n", + "\\item 0.380527613591911\n", + "\\item 0.367754601669946\n", + "\\item 0.173712845163895\n", + "\\item 0.287188461062667\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 0.227405243738926\n", + "\\item 0.246779272597241\n", + "\\item 0.298054207320283\n", + "\\item 0.34995957252768\n", + "\\item 0.261230713298132\n", + "\\item 0.314057157239963\n", + "\\item 0.146551218514663\n", + "\\item 0.29659788124475\n", + "\\item 0.155251037178605\n", + "\\item 0.452669045274827\n", + "\\item 0.346352951247348\n", + "\\item 0.325026159287702\n", + "\\item 0.140330996477386\n", + "\\item 0.240196650190505\n", + "\\item 0.240692640084185\n", + "\\item 0.172840556270593\n", + "\\item 0.24916801149894\n", + "\\item 0.316795296803477\n", + "\\item 0.25882153720829\n", + "\\item 0.25271989966706\n", + "\\item 0.238521128785614\n", + "\\item 0.33259439122024\n", + "\\item 0.169719758259888\n", + "\\item 0.414115642679719\n", + "\\item 0.215890885183742\n", + "\\item 0.314832767905553\n", + "\\item 0.285478154073866\n", + "\\item 0.260140877184692\n", + "\\item 0.368758195419468\n", + "\\item 0.182752489155847\n", + "\\item 0.46686697850161\n", + "\\item 0.376785602765837\n", + "\\item 0.140818527401715\n", + "\\item 0.186889914123285\n", + "\\item 0.186769565624682\n", + "\\item 0.257221610409948\n", + "\\item 0.201895514735541\n", + "\\item 0.103313245846319\n", + "\\item 0.1752849925022\n", + "\\item 0.406403273388414\n", + "\\item 0.414110860332879\n", + "\\item 0.259041825916546\n", + "\\item 0.277145586624494\n", + "\\item 0.237757075447361\n", + "\\item 0.286835219530134\n", + "\\item 0.278212341444336\n", + "\\item 0.414651552161014\n", + "\\item 0.23851465227752\n", + "\\item 0.25246634894381\n", + "\\item 0.290011844367193\n", + "\\item 0.311988634402973\n", + "\\item 0.233839217913218\n", + "\\item 0.394895857161718\n", + "\\item 0.252566235386106\n", + "\\item 0.215607398851004\n", + "\\item 0.26333651439297\n", + "\\item 0.180463482950018\n", + "\\item 0.335907204059271\n", + "\\item 0.30082686919833\n", + "\\item 0.370480698133159\n", + "\\item 0.178786507970833\n", + "\\item 0.257564824356509\n", + "\\item 0.296963707539357\n", + "\\item 0.153140034612955\n", + "\\item 0.245383142291256\n", + "\\item 0.298566909320401\n", + "\\item 0.259895519690987\n", + "\\item 0.330950701524867\n", + "\\item 0.240238744336215\n", + "\\item 0.367654532173274\n", + "\\item 0.185662257152925\n", + "\\item 0.239237133049113\n", + "\\item 0.309426860067103\n", + "\\item 0.300599260327292\n", + "\\item 0.298086233892976\n", + "\\item 0.278590878606715\n", + "\\item 0.271438664663726\n", + "\\item 0.432935743363698\n", + "\\item 0.188802366453573\n", + "\\item 0.385236005163155\n", + "\\item 0.315574517395979\n", + "\\item 0.225900025070884\n", + "\\item 0.194408752432126\n", + "\\item 0.289550656616321\n", + "\\item 0.314634731229552\n", + "\\item 0.344537949448101\n", + "\\item 0.381206006723491\n", + "\\item 0.241709739260532\n", + "\\item 0.214715987987413\n", + "\\item 0.233754658558669\n", + "\\item 0.266908714729488\n", + "\\item 0.181271036997618\n", + "\\item 0.204833024647681\n", + "\\item 0.319293339993542\n", + "\\item 0.120614704977457\n", + "\\item 0.261901337743312\n", + "\\item 0.140670156186043\n", + "\\item 0.263481723725313\n", + "\\item 0.286146273417805\n", + "\\item 0.204087513117536\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 0.32255959375436\n", + "\\item 0.403082966047391\n", + "\\item 0.205472676736951\n", + "\\item 0.431838269706259\n", + "\\item 0.188922588179185\n", + "\\item 0.352925037870609\n", + "\\item 0.270870334057545\n", + "\\item 0.316954103002149\n", + "\\item 0.179193627108704\n", + "\\item 0.286742923549545\n", + "\\item 0.353177471178658\n", + "\\item 0.273415766011799\n", + "\\item 0.403503384143313\n", + "\\item 0.523428082278056\n", + "\\item 0.260945308017941\n", + "\\item 0.172878737187319\n", + "\\item 0.375643811754139\n", + "\\item 0.306116364049511\n", + "\\item 0.395875071413295\n", + "\\item 0.2995785089285\n", + "\\item 0.347336565928884\n", + "\\item 0.126094042489326\n", + "\\item 0.304002022702296\n", + "\\item 0.394075729635501\n", + "\\item 0.388383589000305\n", + "\\item 0.320018020833762\n", + "\\item 0.285570527993207\n", + "\\item 0.444227168073537\n", + "\\item 0.31295086056565\n", + "\\item 0.31439367712255\n", + "\\item 0.263062223783998\n", + "\\item 0.322319444745642\n", + "\\item 0.333948899739342\n", + "\\item 0.392582386307322\n", + "\\item 0.345734530262354\n", + "\\item 0.298562324793774\n", + "\\item 0.285903816290319\n", + "\\item 0.268800621020817\n", + "\\item 0.229186236382419\n", + "\\item 0.361954973822253\n", + "\\item 0.447207516421697\n", + "\\item 0.325843373206536\n", + "\\item 0.267537677825042\n", + "\\item 0.485822305133903\n", + "\\item 0.484936714141652\n", + "\\item 0.368161734976012\n", + "\\item 0.329434041119165\n", + "\\item 0.368218847545287\n", + "\\item 0.380491626777907\n", + "\\item 0.295281519018142\n", + "\\item 0.362829332263355\n", + "\\item 0.310805246696664\n", + "\\item 0.301488061253928\n", + "\\item 0.287673504331993\n", + "\\item 0.399734625579869\n", + "\\item 0.303822863769163\n", + "\\item 0.239825169314882\n", + "\\item 0.394495477443557\n", + "\\item 0.426442810054224\n", + "\\item 0.289250655835657\n", + "\\item 0.275344161725297\n", + "\\item 0.30145197469207\n", + "\\item 0.435093701279829\n", + "\\item 0.315222886891634\n", + "\\item 0.176496943035559\n", + "\\item 0.418439681881461\n", + "\\item 0.504094283744289\n", + "\\item 0.370927120651515\n", + "\\item 0.379124841783281\n", + "\\item 0.354485886566082\n", + "\\item 0.298513775755053\n", + "\\item 0.296063562040292\n", + "\\item 0.39536149233864\n", + "\\item 0.448159037033434\n", + "\\item 0.237260768374491\n", + "\\item 0.221742976466576\n", + "\\item 0.466286943358285\n", + "\\item 0.438902209561284\n", + "\\item 0.282714760126568\n", + "\\item 0.316310315104164\n", + "\\item 0.4268925269622\n", + "\\item 0.250877186730016\n", + "\\item 0.38666781681403\n", + "\\item 0.175714717422592\n", + "\\item 0.370017115194506\n", + "\\item 0.336849801878879\n", + "\\item 0.352398980531736\n", + "\\item 0.2894877614849\n", + "\\item 0.373620613056281\n", + "\\item 0.24877277795841\n", + "\\item 0.314446045172467\n", + "\\item 0.312590962314756\n", + "\\item 0.370027510534\n", + "\\item 0.353657522301833\n", + "\\item 0.457514090797611\n", + "\\item 0.260289475688241\n", + "\\item 0.246440407426956\n", + "\\item 0.209883284660813\n", + "\\item 0.370707346443278\n", + "\\item 0.303616212741741\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 0.283265137604362\n", + "\\item 0.278428367964607\n", + "\\item 0.168315724006471\n", + "\\item 0.291417494434389\n", + "\\item 0.314819665465645\n", + "\\item 0.247859728805271\n", + "\\item 0.207217643086684\n", + "\\item 0.323800415511631\n", + "\\item 0.217220885192146\n", + "\\item 0.410948280858831\n", + "\\item 0.342435278547308\n", + "\\item 0.268502069069443\n", + "\\item 0.135579508254713\n", + "\\item 0.110318313828835\n", + "\\item 0.284689806548033\n", + "\\item 0.179143385316697\n", + "\\item 0.210953176731874\n", + "\\item 0.271932368638065\n", + "\\item 0.233535500697716\n", + "\\item 0.206188196199752\n", + "\\item 0.186198784932367\n", + "\\item 0.246799850236739\n", + "\\item 0.299703017462236\n", + "\\item 0.249941951119965\n", + "\\item 0.273385678448583\n", + "\\item 0.344878126974305\n", + "\\item 0.139655904621604\n", + "\\item 0.213092304703835\n", + "\\item 0.213655297963884\n", + "\\item 0.193671879881129\n", + "\\item 0.18578755268389\n", + "\\item 0.221699141180875\n", + "\\item 0.142289681511603\n", + "\\item 0.365319254316219\n", + "\\item 0.236536128108746\n", + "\\item 0.300291837135917\n", + "\\item 0.136140687139286\n", + "\\item 0.319638186761265\n", + "\\item 0.406522476135531\n", + "\\item 0.342687692709647\n", + "\\item 0.235333880364407\n", + "\\item 0.187758888741067\n", + "\\item 0.220256874009195\n", + "\\item 0.299177179742323\n", + "\\item 0.195220997058561\n", + "\\item 0.185657725588433\n", + "\\item 0.183528000565839\n", + "\\item 0.318544794941224\n", + "\\item 0.314613504722189\n", + "\\item 0.216895108461801\n", + "\\item 0.259294935415231\n", + "\\item 0.251386220874221\n", + "\\item 0.299459712129835\n", + "\\item 0.231357838258365\n", + "\\item 0.348062353496077\n", + "\\item 0.202544371317989\n", + "\\item 0.149617886079824\n", + "\\item 0.317866813649372\n", + "\\item 0.245326344361288\n", + "\\item 0.253897097320831\n", + "\\item 0.226241278020361\n", + "\\item 0.161773192789992\n", + "\\item 0.284890481514774\n", + "\\item 0.175858569188186\n", + "\\item 0.267199529819003\n", + "\\item 0.249309746729128\n", + "\\item 0.222258751688586\n", + "\\item 0.184321281003131\n", + "\\item 0.312754299452822\n", + "\\item 0.295902707147659\n", + "\\item 0.235586482242289\n", + "\\item 0.18571905500538\n", + "\\item 0.290217872912182\n", + "\\item 0.253706072432274\n", + "\\item 0.226615686367983\n", + "\\item 0.241897291057862\n", + "\\item 0.156226618237326\n", + "\\item 0.269115166303284\n", + "\\item 0.30190066299783\n", + "\\item 0.291868970121644\n", + "\\item 0.181972699217262\n", + "\\item 0.208001795461999\n", + "\\item 0.230226777648342\n", + "\\item 0.182023472161744\n", + "\\item 0.227108130833867\n", + "\\item 0.236879366121723\n", + "\\item 0.2045296050307\n", + "\\item 0.215714896455404\n", + "\\item 0.231188429061789\n", + "\\item 0.205456171963071\n", + "\\item 0.246933633824109\n", + "\\item 0.310664258341248\n", + "\\item 0.231541720899751\n", + "\\item 0.1613599315803\n", + "\\item 0.19497653650686\n", + "\\item 0.311642886246476\n", + "\\item 0.315922847638382\n", + "\\item 0.152493741256547\n", + "\\item 0.287137711732701\n", + "\\item 0.165679612171624\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 0.277191235850204\n", + "\\item 0.374959222308307\n", + "\\item 0.140131652593693\n", + "\\item 0.082623751882397\n", + "\\item 0.201828163800406\n", + "\\item 0.275670582579104\n", + "\\item 0.149253033202742\n", + "\\item 0.214509767929\n", + "\\item 0.24338739036361\n", + "\\item 0.203284719862094\n", + "\\item 0.322874774829675\n", + "\\item 0.297419204726769\n", + "\\item 0.25965937843388\n", + "\\item 0.225084955104117\n", + "\\item 0.266131781714355\n", + "\\item 0.183322873150485\n", + "\\item 0.362291812056234\n", + "\\item 0.272158635044951\n", + "\\item 0.212168736639455\n", + "\\item 0.246710441279832\n", + "\\item 0.275099511570352\n", + "\\item 0.228718092481146\n", + "\\item 0.420060837759485\n", + "\\item 0.199011038606971\n", + "\\item 0.195663413020071\n", + "\\item 0.208896141050546\n", + "\\item 0.304101383055852\n", + "\\item 0.354329945645602\n", + "\\item 0.405377934237123\n", + "\\item 0.157775921797703\n", + "\\item 0.22097161522369\n", + "\\item 0.281164288810325\n", + "\\item 0.17457978838802\n", + "\\item 0.290829567065308\n", + "\\item 0.189400759715501\n", + "\\item 0.26247102837557\n", + "\\item 0.34383487204623\n", + "\\item 0.180473608980012\n", + "\\item 0.246102843171556\n", + "\\item 0.371869109151769\n", + "\\item 0.293115852346403\n", + "\\item 0.279085508168986\n", + "\\item 0.245485815325837\n", + "\\item 0.199613071069829\n", + "\\item 0.351978162290908\n", + "\\item 0.186151194040095\n", + "\\item 0.196498829108257\n", + "\\item 0.254385346465037\n", + "\\item 0.252543877819325\n", + "\\item 0.255516154556998\n", + "\\item 0.319811072920485\n", + "\\item 0.361692599267361\n", + "\\item 0.315767003476218\n", + "\\item 0.253793200811833\n", + "\\item 0.22205610231602\n", + "\\item 0.226378485780238\n", + "\\item 0.0798435414833138\n", + "\\item 0.232364672265427\n", + "\\item 0.248512576133822\n", + "\\item 0.217136138094763\n", + "\\item 0.102236515955604\n", + "\\item 0.18619102337847\n", + "\\item 0.0836154980008716\n", + "\\item 0.177344706445333\n", + "\\item 0.208313688012451\n", + "\\item 0.264156488144282\n", + "\\item 0.30796728026538\n", + "\\item 0.156559946246756\n", + "\\item 0.372047471876599\n", + "\\item 0.307681350270797\n", + "\\item 0.242876070189929\n", + "\\item 0.205626782392806\n", + "\\item 0.281592652919753\n", + "\\item 0.309519833207524\n", + "\\item 0.201601009144491\n", + "\\item 0.372010850198044\n", + "\\item 0.30923954149089\n", + "\\item 0.279097354390534\n", + "\\item 0.203867997444708\n", + "\\item 0.266462077209859\n", + "\\item 0.227623483225462\n", + "\\item 0.314798766520948\n", + "\\item 0.148929961904048\n", + "\\item 0.134053240955516\n", + "\\item 0.296088483787804\n", + "\\item 0.230502373868691\n", + "\\item 0.201952008133368\n", + "\\item 0.239472617166011\n", + "\\item 0.109155300169612\n", + "\\item 0.156494930354095\n", + "\\item 0.314566788889362\n", + "\\item 0.23597397617176\n", + "\\item 0.338502347400758\n", + "\\item 0.202318356062688\n", + "\\item 0.161347277389356\n", + "\\item 0.33612258428824\n", + "\\item 0.220011589592306\n", + "\\item 0.422767170912779\n", + "\\item 0.154329395202699\n", + "\\item 0.205439435428523\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 0.251216921840891\n", + "\\item 0.431106021883919\n", + "\\item 0.305171996282917\n", + "\\item 0.168214784443839\n", + "\\item 0.278379993161062\n", + "\\item 0.0657177921914991\n", + "\\item 0.360644594602637\n", + "\\item 0.152409403069402\n", + "\\item 0.350960226455087\n", + "\\item 0.269412489850477\n", + "\\item 0.381095613892409\n", + "\\item 0.322270613884497\n", + "\\item 0.268724875333671\n", + "\\item 0.213581941975851\n", + "\\item 0.245085996097898\n", + "\\item 0.223581204400172\n", + "\\item 0.365591972339416\n", + "\\item 0.255604054440154\n", + "\\item 0.244014607724044\n", + "\\item 0.168612713471817\n", + "\\item 0.221952712676287\n", + "\\item 0.348975279997072\n", + "\\item 0.198206694037828\n", + "\\item 0.247297126686536\n", + "\\item 0.388345208716817\n", + "\\item 0.240072536016521\n", + "\\item 0.337477153688427\n", + "\\item 0.280375650308425\n", + "\\item 0.286262306058126\n", + "\\item 0.36762412621516\n", + "\\item 0.224995426307005\n", + "\\item 0.225851499524499\n", + "\\item 0.169644737471629\n", + "\\item 0.287322337977462\n", + "\\item 0.257243895819325\n", + "\\item 0.262189927148121\n", + "\\item 0.258275829191924\n", + "\\item 0.248058811598685\n", + "\\item 0.226476214285061\n", + "\\item 0.219832831507444\n", + "\\item 0.269619560070837\n", + "\\item 0.342080925349371\n", + "\\item 0.330799194038177\n", + "\\item 0.22695862045765\n", + "\\item 0.243196245170019\n", + "\\item 0.378105351134683\n", + "\\item 0.323626794354345\n", + "\\item 0.319929382599708\n", + "\\item 0.155838135865019\n", + "\\item 0.286896402238489\n", + "\\item 0.162448952129945\n", + "\\item 0.252596689850781\n", + "\\item 0.180390334854689\n", + "\\item 0.248769879027204\n", + "\\item 0.205563478506167\n", + "\\item 0.2962562870195\n", + "\\item 0.170288032537445\n", + "\\item 0.196432028031599\n", + "\\item 0.240149488251391\n", + "\\item 0.390361591434858\n", + "\\item 0.220763044297804\n", + "\\item 0.204410305977621\n", + "\\item 0.20574341993838\n", + "\\item 0.335975563218553\n", + "\\item 0.128730838756963\n", + "\\item 0.26286326512811\n", + "\\item 0.27279804591353\n", + "\\item 0.250980549415611\n", + "\\item 0.377549857295955\n", + "\\item 0.329487219252808\n", + "\\item 0.345913826701206\n", + "\\item 0.350806919085337\n", + "\\item 0.278419149979583\n", + "\\item 0.262390718030683\n", + "\\item 0.192584844120054\n", + "\\item 0.337573530685037\n", + "\\item 0.14688422965054\n", + "\\item 0.268698120569533\n", + "\\item 0.210542336210515\n", + "\\item 0.337754926387519\n", + "\\item 0.338406386697137\n", + "\\item 0.286876418407811\n", + "\\item 0.233912082529835\n", + "\\item 0.196344383223443\n", + "\\item 0.323668045338487\n", + "\\item 0.19432914772043\n", + "\\item 0.289027614674526\n", + "\\item 0.286689678189913\n", + "\\item 0.361290993049955\n", + "\\item 0.341155017829718\n", + "\\item 0.190386631169911\n", + "\\item 0.304218696220843\n", + "\\item 0.279419755267131\n", + "\\item 0.328130977082236\n", + "\\item 0.171663502578802\n", + "\\item 0.204836925580217\n", + "\\item 0.337568069124785\n", + "\\item 0.208823902042094\n", + "\\item 0.196519804377356\n", + "\\item 0.268483678285419\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 0.310282561655067\n", + "\\item 0.221546653878936\n", + "\\item 0.404287673442991\n", + "\\item 0.138336980377985\n", + "\\item 0.364615123255319\n", + "\\item 0.165475995114546\n", + "\\item 0.307201713294692\n", + "\\item 0.262226719710355\n", + "\\item 0.413698554105904\n", + "\\item 0.3247679859715\n", + "\\item 0.127977135747205\n", + "\\item 0.349175106599089\n", + "\\item 0.284691367493948\n", + "\\item 0.347284517274607\n", + "\\item 0.148357958060957\n", + "\\item 0.239857839211492\n", + "\\item 0.343119240464992\n", + "\\item 0.276237161283063\n", + "\\item 0.277312211583734\n", + "\\item 0.190223872173443\n", + "\\item 0.207869370729605\n", + "\\item 0.28141469524224\n", + "\\item 0.435667400086252\n", + "\\item 0.371742249574247\n", + "\\item 0.238140245184659\n", + "\\item 0.370938421128212\n", + "\\item 0.231766076256843\n", + "\\item 0.148008893376442\n", + "\\item 0.116112776208336\n", + "\\item 0.202108799239793\n", + "\\item 0.158167445615394\n", + "\\item 0.237305140099672\n", + "\\item 0.296548228251352\n", + "\\item 0.197043529776646\n", + "\\item 0.372756605760438\n", + "\\item 0.315415072501756\n", + "\\item 0.342442416401227\n", + "\\item 0.276966058073048\n", + "\\item 0.163959642876596\n", + "\\item 0.263316196155764\n", + "\\item 0.281910052776641\n", + "\\item 0.319673827930333\n", + "\\item 0.310374276007641\n", + "\\item 0.24990023381345\n", + "\\item 0.294529024456319\n", + "\\item 0.353425056176957\n", + "\\item 0.219094248093797\n", + "\\item 0.28346242076356\n", + "\\item 0.268354583486729\n", + "\\item 0.204103105336467\n", + "\\item 0.32265528702647\n", + "\\item 0.215533167281511\n", + "\\item 0.394428803477075\n", + "\\item 0.39418433534665\n", + "\\item 0.248738338564481\n", + "\\item 0.220563825210509\n", + "\\item 0.17987648757208\n", + "\\item 0.453406298844399\n", + "\\item 0.353007376604924\n", + "\\item 0.264667037594379\n", + "\\item 0.221812496141295\n", + "\\item 0.301614101164778\n", + "\\item 0.267017570905777\n", + "\\item 0.324290665636363\n", + "\\item 0.353240559452574\n", + "\\item 0.156985866462631\n", + "\\item 0.303896351489064\n", + "\\item 0.177292785878993\n", + "\\item 0.150186386230086\n", + "\\item 0.216056488145929\n", + "\\item 0.227096830749757\n", + "\\item 0.186592954985331\n", + "\\item 0.272432626971723\n", + "\\item 0.173826597416637\n", + "\\item 0.256394362817505\n", + "\\item 0.302994985495999\n", + "\\item 0.334174092732937\n", + "\\item 0.257829531177993\n", + "\\item 0.248617204456995\n", + "\\item 0.20803053349821\n", + "\\item 0.288951910805241\n", + "\\item 0.282647591749617\n", + "\\item 0.196395486988909\n", + "\\item 0.393396034432676\n", + "\\item 0.251454870553785\n", + "\\item 0.133115019269527\n", + "\\item 0.344175022667265\n", + "\\item 0.185326938314363\n", + "\\item 0.197425650538049\n", + "\\item 0.268504401864642\n", + "\\item 0.0519520435102701\n", + "\\item 0.281510537538287\n", + "\\item 0.189087976369074\n", + "\\item 0.305407718360835\n", + "\\item 0.259274827417518\n", + "\\item 0.18070932291543\n", + "\\item 0.193989727369308\n", + "\\item 0.309140960251665\n", + "\\item 0.332835000350695\n", + "\\item 0.230030724656842\n", + "\\end{enumerate}\n", + "\n", + "\\item \\begin{enumerate}\n", + "\\item 0.299192112489586\n", + "\\item 0.269267631605983\n", + "\\item 0.226618846241462\n", + "\\item 0.329149134528391\n", + "\\item 0.222471412504338\n", + "\\item 0.319071764027861\n", + "\\item 0.405591636737973\n", + "\\item 0.321724863433553\n", + "\\item 0.221778111214817\n", + "\\item 0.31608328245752\n", + "\\item 0.145403524421592\n", + "\\item 0.182939586419472\n", + "\\item 0.18193144928393\n", + "\\item 0.244119032482318\n", + "\\item 0.194621338919607\n", + "\\item 0.205522873184017\n", + "\\item 0.383153735943877\n", + "\\item 0.260042051650933\n", + "\\item 0.314543255836367\n", + "\\item 0.111236056614215\n", + "\\item 0.249110919544195\n", + "\\item 0.312921070427873\n", + "\\item 0.272681841356152\n", + "\\item 0.111611443895411\n", + "\\item 0.186257784457697\n", + "\\item 0.208299962234008\n", + "\\item 0.244735265236045\n", + "\\item 0.192499283745305\n", + "\\item 0.183584000898235\n", + "\\item 0.232659685637034\n", + "\\item 0.367262888532237\n", + "\\item 0.423214144561575\n", + "\\item 0.221008783271881\n", + "\\item 0.176014092461467\n", + "\\item 0.273447216531109\n", + "\\item 0.301891900479944\n", + "\\item 0.293756779370529\n", + "\\item 0.28948928174274\n", + "\\item 0.24677218255915\n", + "\\item 0.279331771949407\n", + "\\item 0.276455812295952\n", + "\\item 0.237959430284761\n", + "\\item 0.324165284505723\n", + "\\item 0.243750853130026\n", + "\\item 0.294269236466486\n", + "\\item 0.231562580911124\n", + "\\item 0.153028891221064\n", + "\\item 0.226959924368321\n", + "\\item 0.185599618081566\n", + "\\item 0.267759313726414\n", + "\\item 0.238152318759102\n", + "\\item 0.355707647168826\n", + "\\item 0.202496464772984\n", + "\\item 0.210328892083662\n", + "\\item 0.356581003161553\n", + "\\item 0.353647630286185\n", + "\\item 0.27071579679764\n", + "\\item 0.330187283445045\n", + "\\item 0.422493083092546\n", + "\\item 0.32471382733384\n", + "\\item 0.295641395168775\n", + "\\item 0.333699221744505\n", + "\\item 0.15724672696921\n", + "\\item 0.246957869728012\n", + "\\item 0.313569244762633\n", + "\\item 0.314467532485208\n", + "\\item 0.421633251556524\n", + "\\item 0.295798434376242\n", + "\\item 0.386367200034669\n", + "\\item 0.233493324764028\n", + "\\item 0.243319148551551\n", + "\\item 0.431594748358983\n", + "\\item 0.107190243616409\n", + "\\item 0.245352652472891\n", + "\\item 0.315841303799616\n", + "\\item 0.486821932997154\n", + "\\item 0.172381486490393\n", + "\\item 0.191708196424976\n", + "\\item 0.29585975515634\n", + "\\item 0.175202816822253\n", + "\\item 0.396262045315368\n", + "\\item 0.190251287932115\n", + "\\item 0.329461094564887\n", + "\\item 0.263683113759148\n", + "\\item 0.220969555816608\n", + "\\item 0.239638645494559\n", + "\\item 0.202386424993105\n", + "\\item 0.325132777293787\n", + "\\item 0.271527806476765\n", + "\\item 0.281157662689818\n", + "\\item 0.299378017646081\n", + "\\item 0.105186651885825\n", + "\\item 0.293704071348803\n", + "\\item 0.113210492441125\n", + "\\item 0.281749100760567\n", + "\\item 0.223263585183608\n", + "\\item 0.399882974740279\n", + "\\item 0.226377775445254\n", + "\\item 0.390088857131122\n", + "\\item 0.167634539130283\n", + "\\end{enumerate}\n", + "\n", + "\\end{enumerate}\n", + "\n", + "\\end{description}\n" + ], + "text/markdown": [ + "$num_boot\n", + ": 100\n", + "$method\n", + ": 'RF'\n", + "$stab_index\n", + ": 1. 0.03\n", + "2. 0.04\n", + "3. 0.02\n", + "4. 0.03\n", + "5. 0.03\n", + "6. 0.03\n", + "7. 0.04\n", + "8. 0.03\n", + "9. 0.03\n", + "10. 0.04\n", + "11. 0.04\n", + "12. 0.04\n", + "13. 0.04\n", + "14. 0.04\n", + "15. 0.03\n", + "16. 0.05\n", + "17. 0.05\n", + "18. 0.04\n", + "19. 0.05\n", + "20. 0.05\n", + "21. 0.06\n", + "22. 0.04\n", + "23. 0.03\n", + "24. 0.03\n", + "25. 0.02\n", + "26. 0.03\n", + "27. 0.03\n", + "28. 0.05\n", + "29. 0.03\n", + "30. 0.06\n", + "31. 0.04\n", + "32. 0.03\n", + "33. 0.03\n", + "34. 0.05\n", + "35. 0.06\n", + "36. 0.03\n", + "37. 0.04\n", + "38. 0.03\n", + "39. 0.04\n", + "40. 0.03\n", + "41. 0.04\n", + "42. 0.04\n", + "43. 0.04\n", + "44. 0.02\n", + "45. 0.04\n", + "46. 0.03\n", + "47. 0.05\n", + "48. 0.04\n", + "49. 0.04\n", + "50. 0.04\n", + "51. 0.03\n", + "52. 0.03\n", + "53. 0.04\n", + "54. 0.03\n", + "55. 0.06\n", + "56. 0.04\n", + "57. 0.04\n", + "58. 0.05\n", + "59. 0.03\n", + "60. 0.02\n", + "61. 0.03\n", + "62. 0.04\n", + "63. 0.04\n", + "64. 0.03\n", + "65. 0.03\n", + "66. 0.03\n", + "67. 0.05\n", + "68. 0.03\n", + "69. 0.03\n", + "70. 0.03\n", + "71. 0.03\n", + "72. 0.03\n", + "73. 0.04\n", + "74. 0.04\n", + "75. 0.05\n", + "76. 0.03\n", + "77. 0.04\n", + "78. 0.04\n", + "79. 0.04\n", + "80. 0.04\n", + "81. 0.04\n", + "82. 0.03\n", + "83. 0.05\n", + "84. 0.06\n", + "85. 0.03\n", + "86. 0.04\n", + "87. 0.03\n", + "88. 0.06\n", + "89. 0.02\n", + "90. 0.03\n", + "91. 0.03\n", + "92. 0.05\n", + "93. 0.04\n", + "94. 0.04\n", + "95. 0.04\n", + "96. 0.03\n", + "97. 0.04\n", + "98. 0.04\n", + "99. 0.04\n", + "100. 0.04\n", + "\n", + "\n", + "\n", + "$MSE_list\n", + ": 1. 1. 0.201774342708874\n", + "2. 0.367002739431225\n", + "3. 0.347321353062762\n", + "4. 0.187833797243742\n", + "5. 0.212634780319804\n", + "6. 0.210875652059074\n", + "7. 0.221087360943093\n", + "8. 0.183236020527385\n", + "9. 0.277330042699436\n", + "10. 0.313091584167215\n", + "11. 0.252829297436607\n", + "12. 0.201535693890082\n", + "13. 0.154105406862645\n", + "14. 0.213888812801475\n", + "15. 0.253882961686792\n", + "16. 0.104247591613994\n", + "17. 0.328083039954627\n", + "18. 0.274923268096096\n", + "19. 0.329253804390263\n", + "20. 0.239857188701708\n", + "21. 0.285953092825099\n", + "22. 0.241374274189174\n", + "23. 0.277862549603816\n", + "24. 0.351196449125011\n", + "25. 0.37296490561996\n", + "26. 0.0459176127204355\n", + "27. 0.189737480297106\n", + "28. 0.237209467005608\n", + "29. 0.321019129930169\n", + "30. 0.283357364511277\n", + "31. 0.269888911566795\n", + "32. 0.239286407259001\n", + "33. 0.225136701523363\n", + "34. 0.285702793036439\n", + "35. 0.18717868537626\n", + "36. 0.26520510856703\n", + "37. 0.279846208994034\n", + "38. 0.237035594706878\n", + "39. 0.30548607165726\n", + "40. 0.201682050379622\n", + "41. 0.200778768369014\n", + "42. 0.232629020475939\n", + "43. 0.225031194405874\n", + "44. 0.321123187651997\n", + "45. 0.203047270632305\n", + "46. 0.0842951922361102\n", + "47. 0.132819251452149\n", + "48. 0.249180885247385\n", + "49. 0.449703579181221\n", + "50. 0.373724845977332\n", + "51. 0.231442860291785\n", + "52. 0.410790925773465\n", + "53. 0.209594422635705\n", + "54. 0.319170905986656\n", + "55. 0.363532827233284\n", + "56. 0.222440079459978\n", + "57. 0.372912189794012\n", + "58. 0.392914897775438\n", + "59. 0.324093510065346\n", + "60. 0.266753196508865\n", + "61. 0.165316990415932\n", + "62. 0.0903874947021871\n", + "63. 0.217130109849503\n", + "64. 0.151693775061472\n", + "65. 0.194324576643408\n", + "66. 0.164174659968436\n", + "67. 0.285832176771582\n", + "68. 0.227925621401444\n", + "69. 0.17771878028321\n", + "70. 0.263235109569787\n", + "71. 0.259342970518129\n", + "72. 0.324855122492665\n", + "73. 0.119318466381913\n", + "74. 0.152207909662821\n", + "75. 0.313567297425037\n", + "76. 0.290771858941273\n", + "77. 0.228192760069549\n", + "78. 0.350743497468571\n", + "79. 0.176665813895496\n", + "80. 0.182789373651558\n", + "81. 0.263976829401025\n", + "82. 0.391056643787704\n", + "83. 0.338979096549215\n", + "84. 0.149135602669803\n", + "85. 0.328308180295887\n", + "86. 0.339481202433384\n", + "87. 0.211240191574141\n", + "88. 0.204149887601893\n", + "89. 0.353464909809868\n", + "90. 0.271519590335686\n", + "91. 0.290610977637217\n", + "92. 0.174514543380127\n", + "93. 0.275962279682781\n", + "94. 0.24190366040256\n", + "95. 0.25420773595058\n", + "96. 0.151726336835321\n", + "97. 0.163359483266437\n", + "98. 0.273445379396894\n", + "99. 0.279056040405612\n", + "100. 0.289078543557392\n", + "\n", + "\n", + "\n", + "2. 1. 0.168649453820619\n", + "2. 0.217270509188938\n", + "3. 0.268106055214043\n", + "4. 0.370195516537672\n", + "5. 0.127536074255354\n", + "6. 0.311471147701895\n", + "7. 0.399582017509592\n", + "8. 0.258615016791409\n", + "9. 0.159183292471608\n", + "10. 0.285704138313807\n", + "11. 0.179984877242506\n", + "12. 0.323051519539947\n", + "13. 0.21615104829391\n", + "14. 0.353388618538419\n", + "15. 0.271650830177836\n", + "16. 0.357355262658282\n", + "17. 0.121344545374812\n", + "18. 0.175060775519691\n", + "19. 0.196385543006233\n", + "20. 0.255459180282134\n", + "21. 0.214438961955632\n", + "22. 0.327932719737282\n", + "23. 0.208410239747753\n", + "24. 0.351853731396282\n", + "25. 0.36683571788394\n", + "26. 0.285832677025815\n", + "27. 0.168916992237808\n", + "28. 0.28070092376775\n", + "29. 0.21857914359001\n", + "30. 0.290784078915704\n", + "31. 0.316422823078941\n", + "32. 0.315352878544981\n", + "33. 0.199462205255271\n", + "34. 0.271263255035104\n", + "35. 0.24627301311847\n", + "36. 0.312983071109783\n", + "37. 0.208495868753505\n", + "38. 0.215925900898082\n", + "39. 0.273999295494476\n", + "40. 0.349059923755184\n", + "41. 0.260163363252043\n", + "42. 0.374928964548939\n", + "43. 0.246685887210515\n", + "44. 0.256543311668925\n", + "45. 0.197534233593325\n", + "46. 0.260609201169074\n", + "47. 0.277852335609497\n", + "48. 0.206300994431788\n", + "49. 0.210693075181785\n", + "50. 0.247328333144037\n", + "51. 0.343221469866495\n", + "52. 0.187466626711526\n", + "53. 0.189371476770436\n", + "54. 0.232375240394445\n", + "55. 0.191822038196943\n", + "56. 0.268928213108853\n", + "57. 0.244590055789285\n", + "58. 0.242603223196119\n", + "59. 0.228595065032681\n", + "60. 0.129839086323535\n", + "61. 0.319472667188887\n", + "62. 0.31668162815947\n", + "63. 0.245327696390127\n", + "64. 0.197116671855861\n", + "65. 0.175331719368148\n", + "66. 0.202151614830716\n", + "67. 0.190776973100114\n", + "68. 0.298467459893127\n", + "69. 0.159892678927822\n", + "70. 0.23239284034955\n", + "71. 0.213085580864166\n", + "72. 0.212534631100001\n", + "73. 0.165427213804092\n", + "74. 0.20440611138784\n", + "75. 0.213982355851121\n", + "76. 0.327926612449784\n", + "77. 0.311676796999944\n", + "78. 0.22743088642993\n", + "79. 0.327657124745305\n", + "80. 0.311882656048529\n", + "81. 0.233835092793675\n", + "82. 0.256670762314346\n", + "83. 0.237895771354834\n", + "84. 0.313757094025441\n", + "85. 0.297948292036202\n", + "86. 0.211345786517538\n", + "87. 0.191788417509479\n", + "88. 0.298951666854841\n", + "89. 0.279440709919989\n", + "90. 0.251213633516391\n", + "91. 0.3083460601569\n", + "92. 0.283929851064096\n", + "93. 0.360659724276887\n", + "94. 0.289529578511412\n", + "95. 0.275032613741432\n", + "96. 0.220828263299377\n", + "97. 0.16721992655647\n", + "98. 0.293743129174941\n", + "99. 0.176478661911269\n", + "100. 0.438410445273826\n", + "\n", + "\n", + "\n", + "3. 1. 0.292970376874829\n", + "2. 0.223365610132781\n", + "3. 0.204196891924858\n", + "4. 0.209761452987763\n", + "5. 0.238738513992169\n", + "6. 0.351228202233672\n", + "7. 0.261291153715451\n", + "8. 0.28577244103529\n", + "9. 0.36777364735798\n", + "10. 0.119425488694248\n", + "11. 0.2720269706561\n", + "12. 0.304139235365685\n", + "13. 0.257868429728152\n", + "14. 0.147604173850993\n", + "15. 0.260368858738336\n", + "16. 0.226627509749219\n", + "17. 0.212570274944816\n", + "18. 0.228037195927181\n", + "19. 0.204686855119717\n", + "20. 0.233243322609726\n", + "21. 0.23169617278227\n", + "22. 0.216909370895615\n", + "23. 0.19224513724151\n", + "24. 0.186737359017209\n", + "25. 0.239785417921431\n", + "26. 0.140307289182006\n", + "27. 0.098557369744294\n", + "28. 0.219567116475272\n", + "29. 0.253302716069123\n", + "30. 0.202563958014256\n", + "31. 0.199954630711277\n", + "32. 0.284539833227144\n", + "33. 0.353027759303865\n", + "34. 0.265130437510405\n", + "35. 0.288092788800975\n", + "36. 0.232956751455579\n", + "37. 0.174631496395585\n", + "38. 0.198375548641845\n", + "39. 0.127384579483984\n", + "40. 0.0458779016311549\n", + "41. 0.240059700806701\n", + "42. 0.198937395379927\n", + "43. 0.221816885357327\n", + "44. 0.134644372175764\n", + "45. 0.199896525896629\n", + "46. 0.232888835159379\n", + "47. 0.280079898053288\n", + "48. 0.228095770417984\n", + "49. 0.276040047117136\n", + "50. 0.220275076528148\n", + "51. 0.228947184807771\n", + "52. 0.227450121344466\n", + "53. 0.260665786199639\n", + "54. 0.344855386641989\n", + "55. 0.167473464083167\n", + "56. 0.054556175573363\n", + "57. 0.222727178499859\n", + "58. 0.19867150666074\n", + "59. 0.328218364480156\n", + "60. 0.202054769455452\n", + "61. 0.248017958651481\n", + "62. 0.133230482356637\n", + "63. 0.188540301307866\n", + "64. 0.258717477279512\n", + "65. 0.112649083893215\n", + "66. 0.217050900633969\n", + "67. 0.213141599229197\n", + "68. 0.234567834078062\n", + "69. 0.15599501496467\n", + "70. 0.281063265393915\n", + "71. 0.188932164266608\n", + "72. 0.171244797201143\n", + "73. 0.0950166210892767\n", + "74. 0.184281750113072\n", + "75. 0.343924691743679\n", + "76. 0.234004606198146\n", + "77. 0.25327657682862\n", + "78. 0.124277238787127\n", + "79. 0.311532358039067\n", + "80. 0.244042388794067\n", + "81. 0.177167929855366\n", + "82. 0.147514255799604\n", + "83. 0.227832762328639\n", + "84. 0.247467978139985\n", + "85. 0.221163269032827\n", + "86. 0.323765601261645\n", + "87. 0.310380776049678\n", + "88. 0.327717831759276\n", + "89. 0.18176124923786\n", + "90. 0.181320550821233\n", + "91. 0.208529246546554\n", + "92. 0.242125569259947\n", + "93. 0.21621683216412\n", + "94. 0.178980625520734\n", + "95. 0.164514795802952\n", + "96. 0.157541180282572\n", + "97. 0.11916510897911\n", + "98. 0.232951989423116\n", + "99. 0.226976984343368\n", + "100. 0.301068792169526\n", + "\n", + "\n", + "\n", + "4. 1. 0.224886383058404\n", + "2. 0.146601465709439\n", + "3. 0.344379100635202\n", + "4. 0.309962377905915\n", + "5. 0.374834265013987\n", + "6. 0.159216380716071\n", + "7. 0.291066744918314\n", + "8. 0.290141697467433\n", + "9. 0.322824674302816\n", + "10. 0.219204102005685\n", + "11. 0.423455350840854\n", + "12. 0.23696800657826\n", + "13. 0.1466288754091\n", + "14. 0.279070198106314\n", + "15. 0.296556166433194\n", + "16. 0.308382600838423\n", + "17. 0.227837710379557\n", + "18. 0.316134677711096\n", + "19. 0.172479801903286\n", + "20. 0.179148887206068\n", + "21. 0.0764719838396325\n", + "22. 0.194219489403483\n", + "23. 0.165584384452119\n", + "24. 0.304404438494593\n", + "25. 0.199847740215389\n", + "26. 0.168658102720209\n", + "27. 0.271192521310095\n", + "28. 0.255053605021541\n", + "29. 0.290254675823195\n", + "30. 0.289286526128435\n", + "31. 0.219284622720952\n", + "32. 0.410828005428761\n", + "33. 0.125554193943029\n", + "34. 0.291634621774793\n", + "35. 0.248567860193769\n", + "36. 0.300011817032099\n", + "37. 0.362374791067677\n", + "38. 0.231320939550589\n", + "39. 0.230282672571828\n", + "40. 0.23249067092364\n", + "41. 0.255218932732985\n", + "42. 0.239181883042716\n", + "43. 0.22513692504377\n", + "44. 0.202259817035965\n", + "45. 0.234270180047606\n", + "46. 0.116708466272156\n", + "47. 0.27473707559417\n", + "48. 0.365052027050165\n", + "49. 0.18236684665122\n", + "50. 0.288202529415202\n", + "51. 0.15618200886282\n", + "52. 0.247231369910339\n", + "53. 0.207784431570111\n", + "54. 0.28700370251107\n", + "55. 0.248244836537611\n", + "56. 0.24362639366544\n", + "57. 0.189338253737487\n", + "58. 0.414661577338388\n", + "59. 0.175034411510838\n", + "60. 0.192118665280591\n", + "61. 0.202291065923612\n", + "62. 0.197722622757115\n", + "63. 0.19369535612034\n", + "64. 0.297724848218149\n", + "65. 0.177432875874653\n", + "66. 0.250989941013071\n", + "67. 0.167732864315987\n", + "68. 0.274572292236522\n", + "69. 0.314911434733522\n", + "70. 0.316553802587468\n", + "71. 0.226220851533168\n", + "72. 0.138921845823215\n", + "73. 0.140722464994732\n", + "74. 0.27762540242931\n", + "75. 0.161233840069093\n", + "76. 0.311569964437023\n", + "77. 0.285959327080026\n", + "78. 0.285496074399887\n", + "79. 0.204610009119848\n", + "80. 0.22176609980592\n", + "81. 0.194426399567553\n", + "82. 0.222829817916989\n", + "83. 0.26375453851918\n", + "84. 0.337723576251225\n", + "85. 0.289705070622093\n", + "86. 0.206974484769917\n", + "87. 0.160608632751283\n", + "88. 0.36334964240081\n", + "89. 0.265008671139317\n", + "90. 0.270044536367226\n", + "91. 0.316473282047724\n", + "92. 0.193622498962914\n", + "93. 0.279024690221289\n", + "94. 0.304635735617187\n", + "95. 0.152633730162707\n", + "96. 0.330497736806837\n", + "97. 0.170023363890876\n", + "98. 0.304019746647222\n", + "99. 0.184128377876798\n", + "100. 0.319234261966038\n", + "\n", + "\n", + "\n", + "5. 1. 0.184967984580631\n", + "2. 0.212806122140258\n", + "3. 0.33907714503728\n", + "4. 0.296021090220151\n", + "5. 0.195400728315444\n", + "6. 0.299607951352089\n", + "7. 0.12500833128009\n", + "8. 0.311713514478818\n", + "9. 0.0925923454270298\n", + "10. 0.32101949898756\n", + "11. 0.123011191829117\n", + "12. 0.24989266101819\n", + "13. 0.244275030669233\n", + "14. 0.179346027284001\n", + "15. 0.180213845828411\n", + "16. 0.32504710016673\n", + "17. 0.195254255231491\n", + "18. 0.201740331466644\n", + "19. 0.229179225691133\n", + "20. 0.365851203361736\n", + "21. 0.276201271615369\n", + "22. 0.076810977683485\n", + "23. 0.275487260789094\n", + "24. 0.202213745853713\n", + "25. 0.145602400890055\n", + "26. 0.286610389367926\n", + "27. 0.209641167669334\n", + "28. 0.386140739739626\n", + "29. 0.278611532982777\n", + "30. 0.190119292760104\n", + "31. 0.356805845298362\n", + "32. 0.305746543892578\n", + "33. 0.367789327700858\n", + "34. 0.344519886730268\n", + "35. 0.117101059647403\n", + "36. 0.162675460782572\n", + "37. 0.247041420418654\n", + "38. 0.171515430489162\n", + "39. 0.219618538007955\n", + "40. 0.241652623266254\n", + "41. 0.250195590309083\n", + "42. 0.166893912272488\n", + "43. 0.260479666637691\n", + "44. 0.185969933275518\n", + "45. 0.251323870441441\n", + "46. 0.203561153144497\n", + "47. 0.200575321297626\n", + "48. 0.26223219366487\n", + "49. 0.240955554460676\n", + "50. 0.357012783879287\n", + "51. 0.109156045417307\n", + "52. 0.294455774252191\n", + "53. 0.282583317853091\n", + "54. 0.272568294641469\n", + "55. 0.227913166452197\n", + "56. 0.163097603729112\n", + "57. 0.140293782097837\n", + "58. 0.332287931732974\n", + "59. 0.354358501550858\n", + "60. 0.261790866075304\n", + "61. 0.198756505764512\n", + "62. 0.170293565609723\n", + "63. 0.248022235091157\n", + "64. 0.216410670797081\n", + "65. 0.166431039024888\n", + "66. 0.253862267840302\n", + "67. 0.213583509942298\n", + "68. 0.374665404907427\n", + "69. 0.136077708637166\n", + "70. 0.134595738221394\n", + "71. 0.277984938284432\n", + "72. 0.304045577939237\n", + "73. 0.360298008702665\n", + "74. 0.237239425410848\n", + "75. 0.202273593297929\n", + "76. 0.193270500800706\n", + "77. 0.26226544948034\n", + "78. 0.294524395881727\n", + "79. 0.287759558681104\n", + "80. 0.167152549574178\n", + "81. 0.0788239517731438\n", + "82. 0.247011291876638\n", + "83. 0.15400831896227\n", + "84. 0.255128425648538\n", + "85. 0.230725768807958\n", + "86. 0.154851392473061\n", + "87. 0.132061783107471\n", + "88. 0.21309435379866\n", + "89. 0.106216747777884\n", + "90. 0.367714062173284\n", + "91. 0.106763870127403\n", + "92. 0.24992591136903\n", + "93. 0.118791093945173\n", + "94. 0.147275034451124\n", + "95. 0.204694884606961\n", + "96. 0.182532547166118\n", + "97. 0.112612441608662\n", + "98. 0.230157826849567\n", + "99. 0.23766079713885\n", + "100. 0.298347163995727\n", + "\n", + "\n", + "\n", + "6. 1. 0.310882074042407\n", + "2. 0.30922962447375\n", + "3. 0.274545643695307\n", + "4. 0.173471240397953\n", + "5. 0.215999596606673\n", + "6. 0.309567777543566\n", + "7. 0.355852469324509\n", + "8. 0.253211491264024\n", + "9. 0.275132131224133\n", + "10. 0.39241449915515\n", + "11. 0.318076367043781\n", + "12. 0.13245902663671\n", + "13. 0.151192058211677\n", + "14. 0.438612418029166\n", + "15. 0.288543784881715\n", + "16. 0.286947309279341\n", + "17. 0.288954008891374\n", + "18. 0.236197764616443\n", + "19. 0.238886443002993\n", + "20. 0.283511196558074\n", + "21. 0.124307872809328\n", + "22. 0.222317935139929\n", + "23. 0.25520891470591\n", + "24. 0.226789317198518\n", + "25. 0.237939003284526\n", + "26. 0.287402964115721\n", + "27. 0.2582359962602\n", + "28. 0.419456187209062\n", + "29. 0.391848350322264\n", + "30. 0.337429599938339\n", + "31. 0.189948540359083\n", + "32. 0.226548041646253\n", + "33. 0.289277330493153\n", + "34. 0.453565305837076\n", + "35. 0.116503905434092\n", + "36. 0.318453523567796\n", + "37. 0.425678001843043\n", + "38. 0.184475218630743\n", + "39. 0.261349174080883\n", + "40. 0.294424951639898\n", + "41. 0.29702902312852\n", + "42. 0.341265040781533\n", + "43. 0.264208774268102\n", + "44. 0.297297585377944\n", + "45. 0.371353918418175\n", + "46. 0.240521997476573\n", + "47. 0.219237794353146\n", + "48. 0.172736475587877\n", + "49. 0.29997569922252\n", + "50. 0.348090459765713\n", + "51. 0.24642547241138\n", + "52. 0.531113102214982\n", + "53. 0.15508577523656\n", + "54. 0.31917009413058\n", + "55. 0.181156574125426\n", + "56. 0.15874573266444\n", + "57. 0.1690037560204\n", + "58. 0.233999281027615\n", + "59. 0.182462025365209\n", + "60. 0.173025247041674\n", + "61. 0.188572229136124\n", + "62. 0.190850352034987\n", + "63. 0.300467871235497\n", + "64. 0.286821755941201\n", + "65. 0.402638558008222\n", + "66. 0.249651476222908\n", + "67. 0.346062861105182\n", + "68. 0.316680501599018\n", + "69. 0.218111593024145\n", + "70. 0.265248547329631\n", + "71. 0.182138250907666\n", + "72. 0.236082972242631\n", + "73. 0.260037613927745\n", + "74. 0.182193967287303\n", + "75. 0.274791711356677\n", + "76. 0.371503563839661\n", + "77. 0.173441197336284\n", + "78. 0.291231838502317\n", + "79. 0.361215949764065\n", + "80. 0.251371979647074\n", + "81. 0.25592940258199\n", + "82. 0.146074176224465\n", + "83. 0.365595978828757\n", + "84. 0.132608943599495\n", + "85. 0.334016346468082\n", + "86. 0.328236944691345\n", + "87. 0.264322037635618\n", + "88. 0.363782331288596\n", + "89. 0.245025606871132\n", + "90. 0.173240893792809\n", + "91. 0.36730726231736\n", + "92. 0.153489922534581\n", + "93. 0.27174937584301\n", + "94. 0.19449292532311\n", + "95. 0.329565534085914\n", + "96. 0.302381702258469\n", + "97. 0.291571429284061\n", + "98. 0.296591186282598\n", + "99. 0.249944479563585\n", + "100. 0.1635240114216\n", + "\n", + "\n", + "\n", + "7. 1. 0.260620320957753\n", + "2. 0.355500423735999\n", + "3. 0.153916415193015\n", + "4. 0.262594456171114\n", + "5. 0.218083356213847\n", + "6. 0.27704505738529\n", + "7. 0.249379924418297\n", + "8. 0.283024033764801\n", + "9. 0.164310739387602\n", + "10. 0.367156021414214\n", + "11. 0.213526215888266\n", + "12. 0.171912064034335\n", + "13. 0.219704104404533\n", + "14. 0.28188650898538\n", + "15. 0.198100239608934\n", + "16. 0.199057548408\n", + "17. 0.302439934815028\n", + "18. 0.277433983392425\n", + "19. 0.296335021434966\n", + "20. 0.186325335915184\n", + "21. 0.26981736509142\n", + "22. 0.193307693046415\n", + "23. 0.246708616642961\n", + "24. 0.227489497960229\n", + "25. 0.204308688970951\n", + "26. 0.254503781172981\n", + "27. 0.306249569165156\n", + "28. 0.241367016462554\n", + "29. 0.121233227702019\n", + "30. 0.171040035952504\n", + "31. 0.242099255956\n", + "32. 0.287925767148298\n", + "33. 0.324364049989674\n", + "34. 0.362642102635851\n", + "35. 0.181653182031931\n", + "36. 0.23051134744685\n", + "37. 0.153459150248274\n", + "38. 0.346969209969752\n", + "39. 0.285247815558552\n", + "40. 0.248967174598957\n", + "41. 0.335274750553436\n", + "42. 0.236576321544097\n", + "43. 0.268100544390035\n", + "44. 0.176154749160424\n", + "45. 0.181000926276408\n", + "46. 0.200999952886413\n", + "47. 0.296399247781511\n", + "48. 0.112793743895234\n", + "49. 0.23505122541332\n", + "50. 0.177605984370593\n", + "51. 0.288108003149521\n", + "52. 0.328326489452806\n", + "53. 0.232845016113316\n", + "54. 0.151864893186589\n", + "55. 0.245106373705166\n", + "56. 0.237398161882272\n", + "57. 0.405598357907133\n", + "58. 0.429891876321248\n", + "59. 0.20589116607959\n", + "60. 0.169415128913634\n", + "61. 0.182442101245346\n", + "62. 0.244021458321818\n", + "63. 0.32613696882216\n", + "64. 0.415524323114707\n", + "65. 0.2449811706208\n", + "66. 0.272108777368644\n", + "67. 0.312025790156773\n", + "68. 0.338318476009208\n", + "69. 0.461188137067147\n", + "70. 0.198865064053179\n", + "71. 0.324569010045549\n", + "72. 0.163270537875663\n", + "73. 0.323282572743734\n", + "74. 0.397599090429986\n", + "75. 0.155134414766624\n", + "76. 0.213495332047177\n", + "77. 0.165471972205107\n", + "78. 0.210158143258537\n", + "79. 0.282465638666221\n", + "80. 0.321033673888807\n", + "81. 0.253973629046181\n", + "82. 0.302522081807718\n", + "83. 0.338906820015566\n", + "84. 0.365894822163601\n", + "85. 0.296097016183593\n", + "86. 0.278621863762565\n", + "87. 0.158738509238501\n", + "88. 0.274836712149752\n", + "89. 0.222669434623238\n", + "90. 0.218737721510614\n", + "91. 0.294364042571632\n", + "92. 0.308104158118214\n", + "93. 0.290112094919353\n", + "94. 0.24902080494441\n", + "95. 0.323408388074176\n", + "96. 0.203730754893095\n", + "97. 0.21955749289214\n", + "98. 0.336567797337678\n", + "99. 0.224071447287268\n", + "100. 0.245834762938167\n", + "\n", + "\n", + "\n", + "8. 1. 0.122970451962639\n", + "2. 0.313014849605672\n", + "3. 0.256133807312195\n", + "4. 0.164719969898491\n", + "5. 0.151511556902968\n", + "6. 0.224104928596734\n", + "7. 0.25474123703092\n", + "8. 0.322412505333096\n", + "9. 0.32519374514771\n", + "10. 0.2028794065137\n", + "11. 0.221600590455022\n", + "12. 0.246604214019252\n", + "13. 0.235262778292491\n", + "14. 0.215192901184805\n", + "15. 0.345469547625009\n", + "16. 0.246557766190756\n", + "17. 0.261934620649626\n", + "18. 0.211128370511577\n", + "19. 0.256753815249145\n", + "20. 0.302537606297949\n", + "21. 0.189113411379849\n", + "22. 0.2172696226402\n", + "23. 0.206863162123078\n", + "24. 0.343626551375683\n", + "25. 0.277207869613291\n", + "26. 0.280743774375696\n", + "27. 0.187109637014916\n", + "28. 0.285435528551867\n", + "29. 0.243756261063596\n", + "30. 0.254536574398436\n", + "31. 0.210645321721248\n", + "32. 0.254513493088839\n", + "33. 0.37412760803999\n", + "34. 0.242004387051343\n", + "35. 0.190118003722854\n", + "36. 0.347903311577061\n", + "37. 0.182006706620738\n", + "38. 0.340474623299717\n", + "39. 0.184674114057932\n", + "40. 0.379338159314111\n", + "41. 0.247185904693828\n", + "42. 0.233886554593384\n", + "43. 0.217496692256205\n", + "44. 0.24753940632339\n", + "45. 0.13865790865398\n", + "46. 0.167684065530031\n", + "47. 0.202508483686523\n", + "48. 0.226141692848955\n", + "49. 0.266621597762911\n", + "50. 0.18131239344588\n", + "51. 0.317052487291148\n", + "52. 0.301498455048859\n", + "53. 0.331577667809247\n", + "54. 0.202182754292438\n", + "55. 0.314287281678544\n", + "56. 0.221560415843934\n", + "57. 0.28512851632223\n", + "58. 0.320164839202648\n", + "59. 0.285758965782135\n", + "60. 0.306967805410193\n", + "61. 0.224386410286425\n", + "62. 0.216352175707558\n", + "63. 0.295922682451861\n", + "64. 0.363825121626097\n", + "65. 0.228190306232665\n", + "66. 0.252567595662106\n", + "67. 0.3069701243068\n", + "68. 0.132585497176568\n", + "69. 0.318824392351872\n", + "70. 0.206338209900125\n", + "71. 0.230504765539345\n", + "72. 0.127709194424228\n", + "73. 0.346651465323533\n", + "74. 0.217665705988842\n", + "75. 0.328837233286341\n", + "76. 0.200242123183848\n", + "77. 0.364058339974883\n", + "78. 0.312806195487751\n", + "79. 0.158710870270953\n", + "80. 0.278440247579269\n", + "81. 0.272824976411382\n", + "82. 0.35856123946579\n", + "83. 0.189308071843706\n", + "84. 0.20513822617412\n", + "85. 0.260311446504024\n", + "86. 0.293722323879261\n", + "87. 0.265319660645094\n", + "88. 0.298393155522545\n", + "89. 0.177583809376339\n", + "90. 0.192491398671447\n", + "91. 0.359020319544999\n", + "92. 0.220385182347531\n", + "93. 0.393344353584387\n", + "94. 0.267352506542722\n", + "95. 0.274034183117436\n", + "96. 0.377033683769918\n", + "97. 0.213168141311335\n", + "98. 0.264435201074189\n", + "99. 0.224288510648111\n", + "100. 0.269499333035625\n", + "\n", + "\n", + "\n", + "9. 1. 0.392492764335552\n", + "2. 0.278078068758943\n", + "3. 0.367256779109199\n", + "4. 0.168955429524994\n", + "5. 0.304460502188121\n", + "6. 0.228855611531734\n", + "7. 0.133222432094084\n", + "8. 0.253300259605864\n", + "9. 0.237239137184778\n", + "10. 0.203047282778337\n", + "11. 0.226554749876988\n", + "12. 0.0752775069283488\n", + "13. 0.141708097800826\n", + "14. 0.301962719251708\n", + "15. 0.236259818752394\n", + "16. 0.274251427142118\n", + "17. 0.159655265887595\n", + "18. 0.235184784198151\n", + "19. 0.177062177947102\n", + "20. 0.239743334904552\n", + "21. 0.0492166171790283\n", + "22. 0.0847440700457797\n", + "23. 0.184131909388499\n", + "24. 0.124536742493607\n", + "25. 0.283720411919999\n", + "26. 0.270326051538516\n", + "27. 0.294042667438991\n", + "28. 0.237092689053094\n", + "29. 0.258290413597234\n", + "30. 0.179156432553796\n", + "31. 0.243465404297381\n", + "32. 0.329794940110617\n", + "33. 0.241066786506472\n", + "34. 0.21485631854322\n", + "35. 0.260469628317095\n", + "36. 0.255004321965636\n", + "37. 0.268388741529306\n", + "38. 0.309363093546897\n", + "39. 0.294361720275909\n", + "40. 0.172374187871293\n", + "41. 0.208588034439222\n", + "42. 0.200409131368472\n", + "43. 0.126630507395055\n", + "44. 0.266198992819414\n", + "45. 0.221067746304243\n", + "46. 0.176568267261721\n", + "47. 0.282247751730716\n", + "48. 0.0791038202734023\n", + "49. 0.215040097699969\n", + "50. 0.152049295557242\n", + "51. 0.186248907699464\n", + "52. 0.338065838054893\n", + "53. 0.264371963225698\n", + "54. 0.18065723187499\n", + "55. 0.252591008713463\n", + "56. 0.213124077448487\n", + "57. 0.341011994993441\n", + "58. 0.232077220269405\n", + "59. 0.241948168334241\n", + "60. 0.253868009838194\n", + "61. 0.328262050785587\n", + "62. 0.32005669566544\n", + "63. 0.210128527235026\n", + "64. 0.162032303513335\n", + "65. 0.171286015124932\n", + "66. 0.164489279298659\n", + "67. 0.159404162814962\n", + "68. 0.177319657852768\n", + "69. 0.205913987445962\n", + "70. 0.374651439421139\n", + "71. 0.156929393691852\n", + "72. 0.285351503333798\n", + "73. 0.267713145420436\n", + "74. 0.209765974121835\n", + "75. 0.2452717522654\n", + "76. 0.27922450836441\n", + "77. 0.218518683283222\n", + "78. 0.24086847667339\n", + "79. 0.22867630370442\n", + "80. 0.296476781308938\n", + "81. 0.199730939693229\n", + "82. 0.257162829951432\n", + "83. 0.372157320936844\n", + "84. 0.175053428996875\n", + "85. 0.235505672111123\n", + "86. 0.215848817146034\n", + "87. 0.283729969286235\n", + "88. 0.27256176063447\n", + "89. 0.142342086320225\n", + "90. 0.191553790074476\n", + "91. 0.228784560313091\n", + "92. 0.217310205728508\n", + "93. 0.24909946452101\n", + "94. 0.232042591720594\n", + "95. 0.211374376670647\n", + "96. 0.186821087895987\n", + "97. 0.244751514835322\n", + "98. 0.286934950598666\n", + "99. 0.370723105215937\n", + "100. 0.290617902783586\n", + "\n", + "\n", + "\n", + "10. 1. 0.377279336433686\n", + "2. 0.329549864952538\n", + "3. 0.24410747425393\n", + "4. 0.154730599984861\n", + "5. 0.224285806577666\n", + "6. 0.202427711873028\n", + "7. 0.282906511028962\n", + "8. 0.465790267709543\n", + "9. 0.343585614741073\n", + "10. 0.374097436491188\n", + "11. 0.357809308238717\n", + "12. 0.296092546044876\n", + "13. 0.179040556817046\n", + "14. 0.245738871241933\n", + "15. 0.339461792029966\n", + "16. 0.168214038181534\n", + "17. 0.339641488642157\n", + "18. 0.463921970703965\n", + "19. 0.268346626729044\n", + "20. 0.179742193144861\n", + "21. 0.356847404364188\n", + "22. 0.183221921977904\n", + "23. 0.281842339543352\n", + "24. 0.219435082574126\n", + "25. 0.331132607935629\n", + "26. 0.216503930672634\n", + "27. 0.313507390352129\n", + "28. 0.0750618642234146\n", + "29. 0.28131870924195\n", + "30. 0.378646566928096\n", + "31. 0.42052251917732\n", + "32. 0.361327430219804\n", + "33. 0.236574198024541\n", + "34. 0.323671637639396\n", + "35. 0.103603587709224\n", + "36. 0.254824191255359\n", + "37. 0.468282735647265\n", + "38. 0.230349501084754\n", + "39. 0.254148478695436\n", + "40. 0.15304179745872\n", + "41. 0.351603001200886\n", + "42. 0.344833149925541\n", + "43. 0.359531143768383\n", + "44. 0.135066617282165\n", + "45. 0.20929176273731\n", + "46. 0.215885439409576\n", + "47. 0.308397370880902\n", + "48. 0.457762974531048\n", + "49. 0.253180329069803\n", + "50. 0.208063963723935\n", + "51. 0.399244071530815\n", + "52. 0.286302740817981\n", + "53. 0.37730163117353\n", + "54. 0.129820039423898\n", + "55. 0.180165337653763\n", + "56. 0.384779757402859\n", + "57. 0.287691326804813\n", + "58. 0.268406352659003\n", + "59. 0.428912551195197\n", + "60. 0.209798394410898\n", + "61. 0.15973227177268\n", + "62. 0.40783565514959\n", + "63. 0.413786068332461\n", + "64. 0.304463970972541\n", + "65. 0.168643098419155\n", + "66. 0.316645338805004\n", + "67. 0.341719393725813\n", + "68. 0.24360519226459\n", + "69. 0.303834557918275\n", + "70. 0.244297957760926\n", + "71. 0.433926979829818\n", + "72. 0.28477039279831\n", + "73. 0.385505688476385\n", + "74. 0.249738940239733\n", + "75. 0.337891971714964\n", + "76. 0.357913520361096\n", + "77. 0.447279759700588\n", + "78. 0.349284768022303\n", + "79. 0.306439149165644\n", + "80. 0.200728580000944\n", + "81. 0.261927297182912\n", + "82. 0.322439090489198\n", + "83. 0.101139573424134\n", + "84. 0.121845103056083\n", + "85. 0.194808812214567\n", + "86. 0.360490346504609\n", + "87. 0.14192105012834\n", + "88. 0.300850594739358\n", + "89. 0.268366607884061\n", + "90. 0.380869659055509\n", + "91. 0.290105205334201\n", + "92. 0.218999557417868\n", + "93. 0.332857322715967\n", + "94. 0.185617502352839\n", + "95. 0.356217684742714\n", + "96. 0.27912009117695\n", + "97. 0.307520413307961\n", + "98. 0.140248861666407\n", + "99. 0.508535524225739\n", + "100. 0.309559750038579\n", + "\n", + "\n", + "\n", + "11. 1. 0.206022766378561\n", + "2. 0.328294516028147\n", + "3. 0.393398244216708\n", + "4. 0.301521794137806\n", + "5. 0.302545152486012\n", + "6. 0.341724014334535\n", + "7. 0.314439317611347\n", + "8. 0.286499359445476\n", + "9. 0.360028685216493\n", + "10. 0.169524174124833\n", + "11. 0.166138698660397\n", + "12. 0.122090742744781\n", + "13. 0.240651197097485\n", + "14. 0.281643506320383\n", + "15. 0.15007376100984\n", + "16. 0.37177169090804\n", + "17. 0.149749566944192\n", + "18. 0.342400323243457\n", + "19. 0.318788321042803\n", + "20. 0.254435904360281\n", + "21. 0.37313198052306\n", + "22. 0.263395570226027\n", + "23. 0.279198633827308\n", + "24. 0.332997258161521\n", + "25. 0.382657819958841\n", + "26. 0.293021017868451\n", + "27. 0.415432291399473\n", + "28. 0.168595311619308\n", + "29. 0.375531621409035\n", + "30. 0.242437308374489\n", + "31. 0.151944678056308\n", + "32. 0.4258473335703\n", + "33. 0.391691159929812\n", + "34. 0.134072496005919\n", + "35. 0.268695911241991\n", + "36. 0.296349208203783\n", + "37. 0.279810381742373\n", + "38. 0.128548540267791\n", + "39. 0.262254321102552\n", + "40. 0.235183414974679\n", + "41. 0.226618203901064\n", + "42. 0.195724335543735\n", + "43. 0.399189156418279\n", + "44. 0.242278247806481\n", + "45. 0.242477379346694\n", + "46. 0.229809712632904\n", + "47. 0.229087455567102\n", + "48. 0.0785030187308801\n", + "49. 0.354738793635932\n", + "50. 0.280568677192804\n", + "51. 0.327452589300325\n", + "52. 0.461608899901101\n", + "53. 0.176682348459972\n", + "54. 0.28722712152053\n", + "55. 0.250103740842398\n", + "56. 0.276779741453996\n", + "57. 0.233101262058652\n", + "58. 0.272216334503702\n", + "59. 0.253967478936185\n", + "60. 0.212778335817514\n", + "61. 0.202662815518771\n", + "62. 0.340158001065335\n", + "63. 0.307393928596828\n", + "64. 0.420224998634528\n", + "65. 0.235365693661475\n", + "66. 0.318940767179973\n", + "67. 0.262510298193822\n", + "68. 0.337618423368559\n", + "69. 0.207338913379299\n", + "70. 0.443603327864535\n", + "71. 0.227226165149923\n", + "72. 0.155700346834318\n", + "73. 0.393726219514412\n", + "74. 0.30760792939607\n", + "75. 0.209297962157589\n", + "76. 0.238725795751075\n", + "77. 0.112996547859683\n", + "78. 0.369189614223925\n", + "79. 0.237361280886032\n", + "80. 0.364811546473651\n", + "81. 0.298634534963094\n", + "82. 0.215150819730193\n", + "83. 0.279202838113251\n", + "84. 0.198872059096259\n", + "85. 0.380547835076\n", + "86. 0.301845361416345\n", + "87. 0.255182149470308\n", + "88. 0.277543171057835\n", + "89. 0.345929841263982\n", + "90. 0.344587663476746\n", + "91. 0.410026402631716\n", + "92. 0.337173747466911\n", + "93. 0.408437361054806\n", + "94. 0.301522183155643\n", + "95. 0.330096774420152\n", + "96. 0.206165676428786\n", + "97. 0.205688087919411\n", + "98. 0.2437344939858\n", + "99. 0.39514657591116\n", + "100. 0.113643176328873\n", + "\n", + "\n", + "\n", + "12. 1. 0.245918984788407\n", + "2. 0.240989420640374\n", + "3. 0.212682666940386\n", + "4. 0.306791338612339\n", + "5. 0.303262866795224\n", + "6. 0.367796473737511\n", + "7. 0.268940127118937\n", + "8. 0.317264726206062\n", + "9. 0.183395851201978\n", + "10. 0.185848724866424\n", + "11. 0.2118127326115\n", + "12. 0.204233650787757\n", + "13. 0.351851265054752\n", + "14. 0.224353155910415\n", + "15. 0.312995747746167\n", + "16. 0.253465348630844\n", + "17. 0.167156382545128\n", + "18. 0.226188981387021\n", + "19. 0.261352083079857\n", + "20. 0.324267007097013\n", + "21. 0.300458106776626\n", + "22. 0.161098691895777\n", + "23. 0.240605057975015\n", + "24. 0.314208075171656\n", + "25. 0.161801890906778\n", + "26. 0.220288905402486\n", + "27. 0.20370366001822\n", + "28. 0.239223280719935\n", + "29. 0.362676211332701\n", + "30. 0.172091431071986\n", + "31. 0.268306629585756\n", + "32. 0.166428220802535\n", + "33. 0.276540302555187\n", + "34. 0.28760149351473\n", + "35. 0.22409475343583\n", + "36. 0.361566059476128\n", + "37. 0.177877710378526\n", + "38. 0.160932437446327\n", + "39. 0.42935075298062\n", + "40. 0.178643890044928\n", + "41. 0.148449094579411\n", + "42. 0.194513108640159\n", + "43. 0.220048243610195\n", + "44. 0.18225589298037\n", + "45. 0.249271643055657\n", + "46. 0.222989163350465\n", + "47. 0.402636656428645\n", + "48. 0.321335437618927\n", + "49. 0.242433247464946\n", + "50. 0.245194385159592\n", + "51. 0.138017195812014\n", + "52. 0.366630348397653\n", + "53. 0.220412542117664\n", + "54. 0.167606055199153\n", + "55. 0.30476637918771\n", + "56. 0.198704373749697\n", + "57. 0.268698674456146\n", + "58. 0.345304989039842\n", + "59. 0.277233795622108\n", + "60. 0.257077612409264\n", + "61. 0.299276698925016\n", + "62. 0.234684994998322\n", + "63. 0.368752562992091\n", + "64. 0.330765535579354\n", + "65. 0.312184324992632\n", + "66. 0.150199482716163\n", + "67. 0.152914336304857\n", + "68. 0.346048108392208\n", + "69. 0.352023765173632\n", + "70. 0.227900593629244\n", + "71. 0.415738301619756\n", + "72. 0.114335574538001\n", + "73. 0.323965110495983\n", + "74. 0.327601973485841\n", + "75. 0.174609014495632\n", + "76. 0.231542117606826\n", + "77. 0.163701785281115\n", + "78. 0.310501399902076\n", + "79. 0.282764685510133\n", + "80. 0.1668175333853\n", + "81. 0.172012661538481\n", + "82. 0.328592986572824\n", + "83. 0.379921656691291\n", + "84. 0.114076319931355\n", + "85. 0.174461303463044\n", + "86. 0.298482175601416\n", + "87. 0.271882319223707\n", + "88. 0.353157649690863\n", + "89. 0.254078488369421\n", + "90. 0.257358459612879\n", + "91. 0.121720242640663\n", + "92. 0.229219379014748\n", + "93. 0.245176468092241\n", + "94. 0.31839569704565\n", + "95. 0.323068086091796\n", + "96. 0.309747713252965\n", + "97. 0.276347567826744\n", + "98. 0.127472486473103\n", + "99. 0.278354295272939\n", + "100. 0.199782227536252\n", + "\n", + "\n", + "\n", + "13. 1. 0.361068416433224\n", + "2. 0.250502946124361\n", + "3. 0.285692612854053\n", + "4. 0.185825086635093\n", + "5. 0.157963477406099\n", + "6. 0.166582178803557\n", + "7. 0.278787081499207\n", + "8. 0.244260003691866\n", + "9. 0.119754714391819\n", + "10. 0.257845922661006\n", + "11. 0.126551037531682\n", + "12. 0.185907092798169\n", + "13. 0.0980946497248348\n", + "14. 0.125320294042207\n", + "15. 0.342536725411629\n", + "16. 0.348802030798342\n", + "17. 0.413425471598774\n", + "18. 0.216950816909284\n", + "19. 0.195006782575772\n", + "20. 0.112027409990741\n", + "21. 0.198437126171373\n", + "22. 0.246685824944863\n", + "23. 0.172985563857289\n", + "24. 0.231896633869998\n", + "25. 0.192450386703374\n", + "26. 0.335419931495419\n", + "27. 0.315100626336186\n", + "28. 0.316584982178925\n", + "29. 0.166057270851798\n", + "30. 0.14626994917559\n", + "31. 0.241221408429135\n", + "32. 0.113657891625203\n", + "33. 0.189662299517269\n", + "34. 0.318570014014235\n", + "35. 0.175249094008839\n", + "36. 0.293726795981295\n", + "37. 0.364663631938145\n", + "38. 0.336916637271882\n", + "39. 0.192478102221906\n", + "40. 0.283729002107256\n", + "41. 0.26996792419128\n", + "42. 0.213632762069806\n", + "43. 0.210345507520284\n", + "44. 0.156067073838064\n", + "45. 0.276619172234762\n", + "46. 0.255501119723904\n", + "47. 0.361884118084956\n", + "48. 0.379268223294151\n", + "49. 0.376984513647955\n", + "50. 0.26917299336113\n", + "51. 0.235045700513172\n", + "52. 0.251277131532414\n", + "53. 0.371768553032997\n", + "54. 0.306937028757125\n", + "55. 0.250904929729821\n", + "56. 0.248582546760465\n", + "57. 0.414844343834913\n", + "58. 0.335725899854173\n", + "59. 0.166298975904846\n", + "60. 0.1217266509094\n", + "61. 0.260015359761897\n", + "62. 0.289824818269691\n", + "63. 0.199709370842257\n", + "64. 0.246917254720945\n", + "65. 0.24910966994737\n", + "66. 0.265419513788873\n", + "67. 0.297755049210948\n", + "68. 0.292563458034237\n", + "69. 0.237514492623093\n", + "70. 0.194912757089872\n", + "71. 0.210822205378268\n", + "72. 0.275709703842957\n", + "73. 0.231356766040692\n", + "74. 0.185619335046564\n", + "75. 0.171998010100456\n", + "76. 0.238283014317973\n", + "77. 0.190245462313323\n", + "78. 0.2254418738093\n", + "79. 0.301842337358637\n", + "80. 0.314572254192486\n", + "81. 0.191439209263902\n", + "82. 0.497587542909956\n", + "83. 0.23511745854164\n", + "84. 0.321532580078547\n", + "85. 0.208291220799571\n", + "86. 0.250944229522822\n", + "87. 0.202586688227142\n", + "88. 0.0897360726585109\n", + "89. 0.183950951792291\n", + "90. 0.334267579604874\n", + "91. 0.138161532440042\n", + "92. 0.110502894093863\n", + "93. 0.213613535626049\n", + "94. 0.247352217301462\n", + "95. 0.127879300242375\n", + "96. 0.320421717544876\n", + "97. 0.201534494171501\n", + "98. 0.279813229165767\n", + "99. 0.293525261646763\n", + "100. 0.174301511760647\n", + "\n", + "\n", + "\n", + "14. 1. 0.283467056786419\n", + "2. 0.199559185724434\n", + "3. 0.168050337934146\n", + "4. 0.248786801988689\n", + "5. 0.259692942360791\n", + "6. 0.339962304008559\n", + "7. 0.382759329675778\n", + "8. 0.234785311223657\n", + "9. 0.255922043331739\n", + "10. 0.297529389870943\n", + "11. 0.253049940793297\n", + "12. 0.343822263436268\n", + "13. 0.336390027567068\n", + "14. 0.401247796076726\n", + "15. 0.133723322882035\n", + "16. 0.298764640273445\n", + "17. 0.266115428289413\n", + "18. 0.164405490023566\n", + "19. 0.248942851109834\n", + "20. 0.348413535437695\n", + "21. 0.109119271259944\n", + "22. 0.24314452284838\n", + "23. 0.436334011276323\n", + "24. 0.230940427710793\n", + "25. 0.36850610815867\n", + "26. 0.345335902191609\n", + "27. 0.322530030912575\n", + "28. 0.197923172469059\n", + "29. 0.376192842004495\n", + "30. 0.257484811148925\n", + "31. 0.49885198810681\n", + "32. 0.208147774644597\n", + "33. 0.275868565558302\n", + "34. 0.232199587998211\n", + "35. 0.245559946940446\n", + "36. 0.232167847100409\n", + "37. 0.208507405236343\n", + "38. 0.206387285150611\n", + "39. 0.273237207097943\n", + "40. 0.330024211749845\n", + "41. 0.256449707978998\n", + "42. 0.471166572851898\n", + "43. 0.36708192508158\n", + "44. 0.286651932503803\n", + "45. 0.320519979206019\n", + "46. 0.320644834554138\n", + "47. 0.366618360030943\n", + "48. 0.296051096482738\n", + "49. 0.242298973432592\n", + "50. 0.238935193746867\n", + "51. 0.151321256999484\n", + "52. 0.281378516609937\n", + "53. 0.194022996506271\n", + "54. 0.175628034421311\n", + "55. 0.232250195012522\n", + "56. 0.230587904108866\n", + "57. 0.303354832464371\n", + "58. 0.21797453372721\n", + "59. 0.288966698147916\n", + "60. 0.396862027972805\n", + "61. 0.283493799077848\n", + "62. 0.144068797684281\n", + "63. 0.317767796254528\n", + "64. 0.386745580129827\n", + "65. 0.241382948559575\n", + "66. 0.318029025167511\n", + "67. 0.350570981509881\n", + "68. 0.218177536369962\n", + "69. 0.374624983594842\n", + "70. 0.187689819803541\n", + "71. 0.212414384248463\n", + "72. 0.173861551152846\n", + "73. 0.349819008496983\n", + "74. 0.196396039203152\n", + "75. 0.321383537604507\n", + "76. 0.260869561617617\n", + "77. 0.326868623207407\n", + "78. 0.311307384792683\n", + "79. 0.258542246974669\n", + "80. 0.220329353843437\n", + "81. 0.234892792334246\n", + "82. 0.443705034830419\n", + "83. 0.348657643939568\n", + "84. 0.39556847618294\n", + "85. 0.356906921097407\n", + "86. 0.299763806355253\n", + "87. 0.438727441808105\n", + "88. 0.289881504729666\n", + "89. 0.357006786120035\n", + "90. 0.267374830482576\n", + "91. 0.306552360432233\n", + "92. 0.277678144015154\n", + "93. 0.379328267121372\n", + "94. 0.244805772741356\n", + "95. 0.110698859832302\n", + "96. 0.158852004025384\n", + "97. 0.288058490176247\n", + "98. 0.278189259626314\n", + "99. 0.338571851453479\n", + "100. 0.355958734857568\n", + "\n", + "\n", + "\n", + "15. 1. 0.187916400342122\n", + "2. 0.142941050246254\n", + "3. 0.279890328615454\n", + "4. 0.215383461690559\n", + "5. 0.0859325833842848\n", + "6. 0.105652480819271\n", + "7. 0.198567330996084\n", + "8. 0.151232480949772\n", + "9. 0.156538447992041\n", + "10. 0.0814700607149507\n", + "11. 0.173807610428291\n", + "12. 0.294027575992537\n", + "13. 0.230549273074\n", + "14. 0.0792302094315897\n", + "15. 0.240569213433345\n", + "16. 0.0815828204116991\n", + "17. 0.287711411899347\n", + "18. 0.251546924921024\n", + "19. 0.18705051333682\n", + "20. 0.246585696196311\n", + "21. 0.204390631508102\n", + "22. 0.230130086781824\n", + "23. 0.193874231685404\n", + "24. 0.31879463699136\n", + "25. 0.256253542355085\n", + "26. 0.212932007915823\n", + "27. 0.294826804289983\n", + "28. 0.12610732502036\n", + "29. 0.247738267376677\n", + "30. 0.266798768172817\n", + "31. 0.201417700353548\n", + "32. 0.287172780307469\n", + "33. 0.319360746832947\n", + "34. 0.301254686167602\n", + "35. 0.274800421739459\n", + "36. 0.320198508499586\n", + "37. 0.173058653309748\n", + "38. 0.170887296628925\n", + "39. 0.425455677838927\n", + "40. 0.275224783494797\n", + "41. 0.192589261788253\n", + "42. 0.267858056098771\n", + "43. 0.137328902055533\n", + "44. 0.187889387591686\n", + "45. 0.206048494698123\n", + "46. 0.214437898284899\n", + "47. 0.127440178257996\n", + "48. 0.301871419072699\n", + "49. 0.238093083089729\n", + "50. 0.285528187921723\n", + "51. 0.149585810427797\n", + "52. 0.167566479056922\n", + "53. 0.141165098994537\n", + "54. 0.317808942266893\n", + "55. 0.178734153688485\n", + "56. 0.130148768950456\n", + "57. 0.224051703096048\n", + "58. 0.211033508770552\n", + "59. 0.239539380387005\n", + "60. 0.375928029337563\n", + "61. 0.300747394465731\n", + "62. 0.217781503919284\n", + "63. 0.21614606921739\n", + "64. 0.310835742282465\n", + "65. 0.297677429412211\n", + "66. 0.214960381246613\n", + "67. 0.232923959348519\n", + "68. 0.266563844839131\n", + "69. 0.159830833564184\n", + "70. 0.142979755397434\n", + "71. 0.161143578731825\n", + "72. 0.245329314275013\n", + "73. 0.171830663780134\n", + "74. 0.273911132158635\n", + "75. 0.260288710314567\n", + "76. 0.295105074244106\n", + "77. 0.246591943307576\n", + "78. 0.24969096356448\n", + "79. 0.198585183535592\n", + "80. 0.165185621405904\n", + "81. 0.289984751915265\n", + "82. 0.226155344233984\n", + "83. 0.136093566097135\n", + "84. 0.228551561382682\n", + "85. 0.160177182170787\n", + "86. 0.259189154569008\n", + "87. 0.198019361480513\n", + "88. 0.292627896326448\n", + "89. 0.215190515165982\n", + "90. 0.266858758462102\n", + "91. 0.122172105275238\n", + "92. 0.180628149439334\n", + "93. 0.137593680065265\n", + "94. 0.152184201066464\n", + "95. 0.222143685567188\n", + "96. 0.10331272167135\n", + "97. 0.258969152589974\n", + "98. 0.29612897067057\n", + "99. 0.290910194959675\n", + "100. 0.218664921677066\n", + "\n", + "\n", + "\n", + "16. 1. 0.312350144607955\n", + "2. 0.11401671382804\n", + "3. 0.362250827908355\n", + "4. 0.303336390623972\n", + "5. 0.416352359099262\n", + "6. 0.11675008914667\n", + "7. 0.227836423526207\n", + "8. 0.191254582490063\n", + "9. 0.275502229491833\n", + "10. 0.251671037421768\n", + "11. 0.289771800513535\n", + "12. 0.389680127911346\n", + "13. 0.175058723231676\n", + "14. 0.322594696038974\n", + "15. 0.188512259622608\n", + "16. 0.313932125701932\n", + "17. 0.29840760507226\n", + "18. 0.184934469223943\n", + "19. 0.194892611946171\n", + "20. 0.261133429829563\n", + "21. 0.249951423562553\n", + "22. 0.349740782002982\n", + "23. 0.223413188859849\n", + "24. 0.207725995786691\n", + "25. 0.351559684110635\n", + "26. 0.220448191760218\n", + "27. 0.144815005902594\n", + "28. 0.277454855338674\n", + "29. 0.362608733633622\n", + "30. 0.344419766199497\n", + "31. 0.176949467422285\n", + "32. 0.213494423728241\n", + "33. 0.241698002682545\n", + "34. 0.214398512338343\n", + "35. 0.30772267294321\n", + "36. 0.248442220162783\n", + "37. 0.103085756256019\n", + "38. 0.256788700237568\n", + "39. 0.247996050682045\n", + "40. 0.314444559420492\n", + "41. 0.287047939260618\n", + "42. 0.190696146487025\n", + "43. 0.202329742004876\n", + "44. 0.234190772963176\n", + "45. 0.293266802266102\n", + "46. 0.190053365510483\n", + "47. 0.273994354079151\n", + "48. 0.218378066216422\n", + "49. 0.257585191639699\n", + "50. 0.216154804520669\n", + "51. 0.200958597847981\n", + "52. 0.207963516074643\n", + "53. 0.237484499515721\n", + "54. 0.246304484499296\n", + "55. 0.185208371896785\n", + "56. 0.344156969733868\n", + "57. 0.151149656456351\n", + "58. 0.227007546769517\n", + "59. 0.232480357019713\n", + "60. 0.214541965236901\n", + "61. 0.115577690305482\n", + "62. 0.159702744137292\n", + "63. 0.151085004365002\n", + "64. 0.297125926796205\n", + "65. 0.134863364521525\n", + "66. 0.309208925894073\n", + "67. 0.401791143003335\n", + "68. 0.198664770174448\n", + "69. 0.185312098297374\n", + "70. 0.177952054431429\n", + "71. 0.243666959945885\n", + "72. 0.211458178074575\n", + "73. 0.218548981187041\n", + "74. 0.164419469942016\n", + "75. 0.151911570069225\n", + "76. 0.38181326396043\n", + "77. 0.262649805206775\n", + "78. 0.131778382064659\n", + "79. 0.234487783450685\n", + "80. 0.24767924757294\n", + "81. 0.163633607457516\n", + "82. 0.205298168245525\n", + "83. 0.30214915698966\n", + "84. 0.279618307903565\n", + "85. 0.240541986118449\n", + "86. 0.305799849595178\n", + "87. 0.176198610596292\n", + "88. 0.224257491605346\n", + "89. 0.235881752016567\n", + "90. 0.252592954374857\n", + "91. 0.363627895654458\n", + "92. 0.309152048523177\n", + "93. 0.269977660031396\n", + "94. 0.257439226305316\n", + "95. 0.247045598575325\n", + "96. 0.136163368250937\n", + "97. 0.226308123573236\n", + "98. 0.22526060852187\n", + "99. 0.285825452254434\n", + "100. 0.272975247077041\n", + "\n", + "\n", + "\n", + "17. 1. 0.303397174980562\n", + "2. 0.352608545391113\n", + "3. 0.165749085778865\n", + "4. 0.23887533901246\n", + "5. 0.20457817040614\n", + "6. 0.248154714728934\n", + "7. 0.178144279618553\n", + "8. 0.16102122365893\n", + "9. 0.25541316268146\n", + "10. 0.340113063324359\n", + "11. 0.301241190892511\n", + "12. 0.406481265624065\n", + "13. 0.194796831369948\n", + "14. 0.232623538154481\n", + "15. 0.279751983485329\n", + "16. 0.173400956090224\n", + "17. 0.141729100694058\n", + "18. 0.23215430282213\n", + "19. 0.39193123394101\n", + "20. 0.204558268608332\n", + "21. 0.191094795724497\n", + "22. 0.340368692250776\n", + "23. 0.303132258476256\n", + "24. 0.327201774134919\n", + "25. 0.184306751925056\n", + "26. 0.241657630254978\n", + "27. 0.150663123963874\n", + "28. 0.189119537300771\n", + "29. 0.269270677769787\n", + "30. 0.2237359655355\n", + "31. 0.200290229059702\n", + "32. 0.37967825974411\n", + "33. 0.160223427199428\n", + "34. 0.294504302847643\n", + "35. 0.405359927830703\n", + "36. 0.216396049031313\n", + "37. 0.263147227218396\n", + "38. 0.344237932513789\n", + "39. 0.341702923053515\n", + "40. 0.289851921692096\n", + "41. 0.265597773348945\n", + "42. 0.383191412435587\n", + "43. 0.195222881276116\n", + "44. 0.223201245740866\n", + "45. 0.207487568682935\n", + "46. 0.450232462027545\n", + "47. 0.233713260573481\n", + "48. 0.263496792301767\n", + "49. 0.267407228727018\n", + "50. 0.293602541430862\n", + "51. 0.257828338931825\n", + "52. 0.277381663793666\n", + "53. 0.223270694884206\n", + "54. 0.243771378755378\n", + "55. 0.353954708952126\n", + "56. 0.3223558165271\n", + "57. 0.190871372219903\n", + "58. 0.0867562144776758\n", + "59. 0.307869457180794\n", + "60. 0.282826225170929\n", + "61. 0.155105389262134\n", + "62. 0.228126568324404\n", + "63. 0.285244188204439\n", + "64. 0.155027317826397\n", + "65. 0.305255027247479\n", + "66. 0.28759480788031\n", + "67. 0.291987872932039\n", + "68. 0.257184147153886\n", + "69. 0.244627138026384\n", + "70. 0.213233641852472\n", + "71. 0.233642037453664\n", + "72. 0.371540594289551\n", + "73. 0.33036857007714\n", + "74. 0.199352317588759\n", + "75. 0.296900491506276\n", + "76. 0.290101635822282\n", + "77. 0.138745029722557\n", + "78. 0.201436368724344\n", + "79. 0.306237365458565\n", + "80. 0.211957492061514\n", + "81. 0.300139147648647\n", + "82. 0.219258691693915\n", + "83. 0.302828597017229\n", + "84. 0.248601657751776\n", + "85. 0.235026614600039\n", + "86. 0.271511507490489\n", + "87. 0.265659461737447\n", + "88. 0.163962579798209\n", + "89. 0.228248860243875\n", + "90. 0.39206182488458\n", + "91. 0.331893808396491\n", + "92. 0.292750781798435\n", + "93. 0.130285122418994\n", + "94. 0.244783572345509\n", + "95. 0.222972032330244\n", + "96. 0.265868589185386\n", + "97. 0.113421603375897\n", + "98. 0.216487376323119\n", + "99. 0.285389202595067\n", + "100. 0.199173305688539\n", + "\n", + "\n", + "\n", + "18. 1. 0.301762612285174\n", + "2. 0.339567428427841\n", + "3. 0.296141886969838\n", + "4. 0.328290301796681\n", + "5. 0.317457068217942\n", + "6. 0.342603748863672\n", + "7. 0.255130434104852\n", + "8. 0.236177818379253\n", + "9. 0.249724595442259\n", + "10. 0.210418075907405\n", + "11. 0.367382634682528\n", + "12. 0.201099268667593\n", + "13. 0.181275268939166\n", + "14. 0.190031696327926\n", + "15. 0.226515614411344\n", + "16. 0.318014408304338\n", + "17. 0.267014469269394\n", + "18. 0.248627295241077\n", + "19. 0.196369791559728\n", + "20. 0.21256870587734\n", + "21. 0.173437446070342\n", + "22. 0.248931743161822\n", + "23. 0.306931270779925\n", + "24. 0.135362513660587\n", + "25. 0.141370815496725\n", + "26. 0.252184596367965\n", + "27. 0.243255825939532\n", + "28. 0.278015748623961\n", + "29. 0.200544166550277\n", + "30. 0.287978789886455\n", + "31. 0.259889537690159\n", + "32. 0.152535472797332\n", + "33. 0.355620838899383\n", + "34. 0.296852208987299\n", + "35. 0.224957569839703\n", + "36. 0.280046842520687\n", + "37. 0.305348309104112\n", + "38. 0.214693916903551\n", + "39. 0.183216171845459\n", + "40. 0.292239285534027\n", + "41. 0.279083699362992\n", + "42. 0.276364743607108\n", + "43. 0.213635876220388\n", + "44. 0.232102979285306\n", + "45. 0.286087984278396\n", + "46. 0.224932425758918\n", + "47. 0.314720536283941\n", + "48. 0.270620276484379\n", + "49. 0.228392476227033\n", + "50. 0.194881328416091\n", + "51. 0.359054076406798\n", + "52. 0.270203896039805\n", + "53. 0.319324527746996\n", + "54. 0.126509898440075\n", + "55. 0.110211668410186\n", + "56. 0.276908115581529\n", + "57. 0.095395446272241\n", + "58. 0.38184768277733\n", + "59. 0.274162622649821\n", + "60. 0.284867736497276\n", + "61. 0.251915473546307\n", + "62. 0.283759202909109\n", + "63. 0.218613979046605\n", + "64. 0.27225450115068\n", + "65. 0.225962555213104\n", + "66. 0.204207060340722\n", + "67. 0.282812126581035\n", + "68. 0.231978655153068\n", + "69. 0.269462336598836\n", + "70. 0.230873851345981\n", + "71. 0.135284085439539\n", + "72. 0.202291937474306\n", + "73. 0.1730077346955\n", + "74. 0.235908140719069\n", + "75. 0.21804948924666\n", + "76. 0.223744100487858\n", + "77. 0.197620584973352\n", + "78. 0.248204341475164\n", + "79. 0.191936592869306\n", + "80. 0.193151477393113\n", + "81. 0.145174748556449\n", + "82. 0.225824706203242\n", + "83. 0.360188779829661\n", + "84. 0.173992307744029\n", + "85. 0.260281512706753\n", + "86. 0.242209801253213\n", + "87. 0.34264586081568\n", + "88. 0.145551265526521\n", + "89. 0.291134917625517\n", + "90. 0.229250892814618\n", + "91. 0.245570079154083\n", + "92. 0.194074003902078\n", + "93. 0.185937029838602\n", + "94. 0.140638288354773\n", + "95. 0.157027317187418\n", + "96. 0.309403930691333\n", + "97. 0.179036759078151\n", + "98. 0.28842246562051\n", + "99. 0.252496280596459\n", + "100. 0.297830966719141\n", + "\n", + "\n", + "\n", + "19. 1. 0.260513121268436\n", + "2. 0.221864139229825\n", + "3. 0.299906074096097\n", + "4. 0.236628153011208\n", + "5. 0.136251853590297\n", + "6. 0.272609117784145\n", + "7. 0.273434909998605\n", + "8. 0.244763487386598\n", + "9. 0.324713107574028\n", + "10. 0.293278858503786\n", + "11. 0.232349627504162\n", + "12. 0.390655214695378\n", + "13. 0.270264318382779\n", + "14. 0.338137957554642\n", + "15. 0.298324687142999\n", + "16. 0.312219130390689\n", + "17. 0.299595458672383\n", + "18. 0.254785383553423\n", + "19. 0.125969947894654\n", + "20. 0.338203077182999\n", + "21. 0.282220566953011\n", + "22. 0.268471645829982\n", + "23. 0.19957012534547\n", + "24. 0.196989946632408\n", + "25. 0.366497671463118\n", + "26. 0.165717735018548\n", + "27. 0.299029852283404\n", + "28. 0.213847267784552\n", + "29. 0.239872627068654\n", + "30. 0.248928835349806\n", + "31. 0.316159133108127\n", + "32. 0.247782306821514\n", + "33. 0.229664079474613\n", + "34. 0.140623832920828\n", + "35. 0.244035294886799\n", + "36. 0.291991263699435\n", + "37. 0.170429067896798\n", + "38. 0.251479726540741\n", + "39. 0.175799643091531\n", + "40. 0.169145417542262\n", + "41. 0.300256947655983\n", + "42. 0.260946416659131\n", + "43. 0.253278722334624\n", + "44. 0.230854844697921\n", + "45. 0.14925962853008\n", + "46. 0.172756521001941\n", + "47. 0.325224163623781\n", + "48. 0.217899059658824\n", + "49. 0.354793196037019\n", + "50. 0.261560193647775\n", + "51. 0.129275461772148\n", + "52. 0.291283292626179\n", + "53. 0.259862206977401\n", + "54. 0.342711286477681\n", + "55. 0.227759082455734\n", + "56. 0.323242796713791\n", + "57. 0.230045942344492\n", + "58. 0.256941479714464\n", + "59. 0.181667130641529\n", + "60. 0.258464822095132\n", + "61. 0.163758292296934\n", + "62. 0.154339299842029\n", + "63. 0.106082850706396\n", + "64. 0.303454402619814\n", + "65. 0.188542545290957\n", + "66. 0.169042966117192\n", + "67. 0.331725982079358\n", + "68. 0.217458016464167\n", + "69. 0.171245530671568\n", + "70. 0.20209816578894\n", + "71. 0.201876332514131\n", + "72. 0.218482966989256\n", + "73. 0.27419920973662\n", + "74. 0.288334503516876\n", + "75. 0.175544935730241\n", + "76. 0.250121748505335\n", + "77. 0.156058914533061\n", + "78. 0.236062019232745\n", + "79. 0.291824516055119\n", + "80. 0.238831548807586\n", + "81. 0.346075609480488\n", + "82. 0.201296238552964\n", + "83. 0.22965472259169\n", + "84. 0.194955776951755\n", + "85. 0.21807455685029\n", + "86. 0.253162365826687\n", + "87. 0.217596439572457\n", + "88. 0.288138302046912\n", + "89. 0.399929469626412\n", + "90. 0.362907953153394\n", + "91. 0.214666388626679\n", + "92. 0.220304139028145\n", + "93. 0.147562845390231\n", + "94. 0.31731698727839\n", + "95. 0.15014390395127\n", + "96. 0.140810829464103\n", + "97. 0.279512084309052\n", + "98. 0.21552762928483\n", + "99. 0.270436277745958\n", + "100. 0.208364182416526\n", + "\n", + "\n", + "\n", + "20. 1. 0.407212863670037\n", + "2. 0.26259900714273\n", + "3. 0.265339964157701\n", + "4. 0.187407172946769\n", + "5. 0.380888537587005\n", + "6. 0.295635980855576\n", + "7. 0.214120611861521\n", + "8. 0.372542568130721\n", + "9. 0.247085843541326\n", + "10. 0.181397758021418\n", + "11. 0.240589864153278\n", + "12. 0.303477740838336\n", + "13. 0.199012060525001\n", + "14. 0.232555900638264\n", + "15. 0.330184557656316\n", + "16. 0.34696968505922\n", + "17. 0.40494434818742\n", + "18. 0.27710481280911\n", + "19. 0.307914642913479\n", + "20. 0.187631087902483\n", + "21. 0.290746446322696\n", + "22. 0.357803763710374\n", + "23. 0.124589659366313\n", + "24. 0.441287790888816\n", + "25. 0.397691226661751\n", + "26. 0.21898566707414\n", + "27. 0.236816541546375\n", + "28. 0.409143859592916\n", + "29. 0.369653865009062\n", + "30. 0.265309937429147\n", + "31. 0.13089619205116\n", + "32. 0.350806333818894\n", + "33. 0.378290240075981\n", + "34. 0.256360023413532\n", + "35. 0.42294238302283\n", + "36. 0.251396182842548\n", + "37. 0.272855749178441\n", + "38. 0.296873064533508\n", + "39. 0.332857842785537\n", + "40. 0.313486343991097\n", + "41. 0.210641867755748\n", + "42. 0.261233496216118\n", + "43. 0.153401281231996\n", + "44. 0.272937546213556\n", + "45. 0.262962859444711\n", + "46. 0.273187694170305\n", + "47. 0.196280264547487\n", + "48. 0.191139906119032\n", + "49. 0.151849613228521\n", + "50. 0.284471544850053\n", + "51. 0.32674132654076\n", + "52. 0.299974742631083\n", + "53. 0.365517724013172\n", + "54. 0.312364295017157\n", + "55. 0.356206111389337\n", + "56. 0.218678990671493\n", + "57. 0.294749844900875\n", + "58. 0.198796284878366\n", + "59. 0.215716705776093\n", + "60. 0.30138947210473\n", + "61. 0.31566137622996\n", + "62. 0.282306113819603\n", + "63. 0.313389060791142\n", + "64. 0.254356689360999\n", + "65. 0.239573763792078\n", + "66. 0.271171215283439\n", + "67. 0.405063105874992\n", + "68. 0.445503139260685\n", + "69. 0.29137859534978\n", + "70. 0.441281037122697\n", + "71. 0.318681827144821\n", + "72. 0.17047513875162\n", + "73. 0.188802697031335\n", + "74. 0.270007668715855\n", + "75. 0.317688764630627\n", + "76. 0.483343574800063\n", + "77. 0.229791186960528\n", + "78. 0.319562141764945\n", + "79. 0.3539828513105\n", + "80. 0.326649139018672\n", + "81. 0.370245075370292\n", + "82. 0.378104403051472\n", + "83. 0.270881621206153\n", + "84. 0.189425210245894\n", + "85. 0.27783004430241\n", + "86. 0.316878372058281\n", + "87. 0.244034286240587\n", + "88. 0.287322279676312\n", + "89. 0.244947818826811\n", + "90. 0.275071775742095\n", + "91. 0.262032121061035\n", + "92. 0.333486998097271\n", + "93. 0.28395298440981\n", + "94. 0.296322780372591\n", + "95. 0.251800732890168\n", + "96. 0.240314343520339\n", + "97. 0.390890364125502\n", + "98. 0.329401614647853\n", + "99. 0.312266832495343\n", + "100. 0.303252438090021\n", + "\n", + "\n", + "\n", + "21. 1. 0.261752969563751\n", + "2. 0.194432546160047\n", + "3. 0.390682483253288\n", + "4. 0.306261877998027\n", + "5. 0.329011674827553\n", + "6. 0.288131383869347\n", + "7. 0.279432103288359\n", + "8. 0.234277648662775\n", + "9. 0.194996573142638\n", + "10. 0.399339727269028\n", + "11. 0.217363215098335\n", + "12. 0.238293733960676\n", + "13. 0.276877720885042\n", + "14. 0.41322162963016\n", + "15. 0.248405254910225\n", + "16. 0.210167736046665\n", + "17. 0.443526153051012\n", + "18. 0.298211324928173\n", + "19. 0.31414635343961\n", + "20. 0.38668855786192\n", + "21. 0.123739047510941\n", + "22. 0.274716503676127\n", + "23. 0.271579055043973\n", + "24. 0.297912757740996\n", + "25. 0.257623943666812\n", + "26. 0.230585874738817\n", + "27. 0.342284702417808\n", + "28. 0.252419644116393\n", + "29. 0.374409961860856\n", + "30. 0.357087965943939\n", + "31. 0.259101108525173\n", + "32. 0.413048100949767\n", + "33. 0.380050907874524\n", + "34. 0.25261278793338\n", + "35. 0.323422612502635\n", + "36. 0.319212187107568\n", + "37. 0.340542364857126\n", + "38. 0.152796025379999\n", + "39. 0.194498371165383\n", + "40. 0.181093159980614\n", + "41. 0.303886883569759\n", + "42. 0.244997524490712\n", + "43. 0.0867429794156803\n", + "44. 0.370288288744212\n", + "45. 0.409975993578132\n", + "46. 0.231572852498216\n", + "47. 0.200159064968827\n", + "48. 0.29639019603394\n", + "49. 0.428815393236808\n", + "50. 0.279350336299446\n", + "51. 0.277077346211509\n", + "52. 0.273851712890361\n", + "53. 0.188742062535461\n", + "54. 0.242629584561762\n", + "55. 0.300630846326878\n", + "56. 0.289453373321778\n", + "57. 0.277648585951892\n", + "58. 0.284247329785747\n", + "59. 0.139699369258669\n", + "60. 0.32661182988513\n", + "61. 0.148987299498159\n", + "62. 0.187743722812253\n", + "63. 0.161076422765017\n", + "64. 0.293230704834648\n", + "65. 0.233405235408643\n", + "66. 0.233177609888357\n", + "67. 0.349773599157271\n", + "68. 0.257781472881908\n", + "69. 0.358507567029703\n", + "70. 0.419807031379697\n", + "71. 0.364466987488002\n", + "72. 0.247504882667479\n", + "73. 0.447127897448278\n", + "74. 0.288909310617727\n", + "75. 0.307722888120693\n", + "76. 0.207522524178399\n", + "77. 0.330909619355397\n", + "78. 0.239954874956611\n", + "79. 0.207713192561721\n", + "80. 0.344098733619988\n", + "81. 0.260745204003168\n", + "82. 0.40234756441158\n", + "83. 0.328000053475563\n", + "84. 0.318000744168585\n", + "85. 0.219511586516522\n", + "86. 0.259839814956542\n", + "87. 0.293641290510434\n", + "88. 0.278866271568972\n", + "89. 0.328899665502094\n", + "90. 0.342918641511441\n", + "91. 0.297288961750045\n", + "92. 0.212026621271744\n", + "93. 0.221945171751561\n", + "94. 0.219390991307405\n", + "95. 0.212981349943246\n", + "96. 0.119446547991536\n", + "97. 0.284430700571163\n", + "98. 0.388414414085216\n", + "99. 0.44007108693793\n", + "100. 0.298675286244111\n", + "\n", + "\n", + "\n", + "22. 1. 0.24593631350433\n", + "2. 0.250064525060761\n", + "3. 0.127587818757328\n", + "4. 0.109400069595138\n", + "5. 0.125927075793169\n", + "6. 0.358703110913644\n", + "7. 0.351643665762047\n", + "8. 0.323887629047459\n", + "9. 0.258359967323282\n", + "10. 0.177592884729505\n", + "11. 0.291219337666058\n", + "12. 0.21143366663039\n", + "13. 0.180099788034038\n", + "14. 0.299005266684182\n", + "15. 0.199610158422599\n", + "16. 0.287746604197203\n", + "17. 0.270043761287939\n", + "18. 0.265317789120958\n", + "19. 0.167026170373747\n", + "20. 0.182294769927986\n", + "21. 0.111062945683693\n", + "22. 0.237035275572633\n", + "23. 0.383263302653812\n", + "24. 0.160969731238787\n", + "25. 0.217769844157399\n", + "26. 0.261634457112054\n", + "27. 0.288091565519793\n", + "28. 0.407453206519856\n", + "29. 0.390486587088106\n", + "30. 0.249164117708198\n", + "31. 0.126028204095691\n", + "32. 0.363160246884484\n", + "33. 0.218059456966916\n", + "34. 0.274054170312664\n", + "35. 0.247521856428345\n", + "36. 0.208707172074137\n", + "37. 0.120740817435924\n", + "38. 0.12951915490214\n", + "39. 0.428351516750484\n", + "40. 0.442427305759305\n", + "41. 0.201856651605498\n", + "42. 0.241039979547204\n", + "43. 0.300917060417994\n", + "44. 0.295578054789709\n", + "45. 0.203664277460196\n", + "46. 0.218956108715855\n", + "47. 0.217904882064193\n", + "48. 0.161175001820744\n", + "49. 0.140632708583523\n", + "50. 0.126340354068232\n", + "51. 0.0919533192774643\n", + "52. 0.285722772893437\n", + "53. 0.215465765474266\n", + "54. 0.162210940374733\n", + "55. 0.316860203957516\n", + "56. 0.228318909264676\n", + "57. 0.314389220296189\n", + "58. 0.170773473529748\n", + "59. 0.382016870073895\n", + "60. 0.23987585631704\n", + "61. 0.224617423782704\n", + "62. 0.229898493576483\n", + "63. 0.265528958411321\n", + "64. 0.232727738869364\n", + "65. 0.21945716043768\n", + "66. 0.308809920425623\n", + "67. 0.299719596106605\n", + "68. 0.243414372557809\n", + "69. 0.294947315760536\n", + "70. 0.262257310508629\n", + "71. 0.36429192362252\n", + "72. 0.317655076555813\n", + "73. 0.180764516731285\n", + "74. 0.20848416750714\n", + "75. 0.285995347834827\n", + "76. 0.131528802915861\n", + "77. 0.262289355677309\n", + "78. 0.0802269194786452\n", + "79. 0.299261167524428\n", + "80. 0.279554044870114\n", + "81. 0.371059207696729\n", + "82. 0.309388842003962\n", + "83. 0.166286477676485\n", + "84. 0.0932495278414668\n", + "85. 0.248248975684935\n", + "86. 0.142547132290101\n", + "87. 0.205156807954786\n", + "88. 0.179586155380309\n", + "89. 0.0773012488402846\n", + "90. 0.28733711358062\n", + "91. 0.269789058436216\n", + "92. 0.246666734402295\n", + "93. 0.285266124914916\n", + "94. 0.184558812374726\n", + "95. 0.0964642755718894\n", + "96. 0.232093925191389\n", + "97. 0.174895011251429\n", + "98. 0.215462315452679\n", + "99. 0.117104716292135\n", + "100. 0.304772177445191\n", + "\n", + "\n", + "\n", + "23. 1. 0.287988624588734\n", + "2. 0.182110484447088\n", + "3. 0.186012362501729\n", + "4. 0.329383173709694\n", + "5. 0.242979536262481\n", + "6. 0.327945694684661\n", + "7. 0.15650403465427\n", + "8. 0.119468899379301\n", + "9. 0.16706781148963\n", + "10. 0.219506471156298\n", + "11. 0.393839068858898\n", + "12. 0.155362751820171\n", + "13. 0.34823940798647\n", + "14. 0.20845100251454\n", + "15. 0.177770947499287\n", + "16. 0.261746224565941\n", + "17. 0.25447732310411\n", + "18. 0.222568711137486\n", + "19. 0.145153414102918\n", + "20. 0.178395787660543\n", + "21. 0.10912001623646\n", + "22. 0.233332273716689\n", + "23. 0.168966171025848\n", + "24. 0.323495866996437\n", + "25. 0.216144327507615\n", + "26. 0.108284177593548\n", + "27. 0.163762376758982\n", + "28. 0.198192879714397\n", + "29. 0.228246540437503\n", + "30. 0.238227843702429\n", + "31. 0.202015686186484\n", + "32. 0.200881746016562\n", + "33. 0.208117379469076\n", + "34. 0.324088352732621\n", + "35. 0.270857203955387\n", + "36. 0.289143216747189\n", + "37. 0.222475904091219\n", + "38. 0.138258080562906\n", + "39. 0.25550120679697\n", + "40. 0.205458912388679\n", + "41. 0.266830546361983\n", + "42. 0.25852621856737\n", + "43. 0.198769917485812\n", + "44. 0.224369087022089\n", + "45. 0.189203424222056\n", + "46. 0.177758986857215\n", + "47. 0.22894043600595\n", + "48. 0.187762375699227\n", + "49. 0.171535969812341\n", + "50. 0.290909470775979\n", + "51. 0.124634404277587\n", + "52. 0.146463241125253\n", + "53. 0.177689321136332\n", + "54. 0.209831646354007\n", + "55. 0.315852025896402\n", + "56. 0.349759495334504\n", + "57. 0.283930386332841\n", + "58. 0.223250082798429\n", + "59. 0.303325489947297\n", + "60. 0.185163501610894\n", + "61. 0.167706489132746\n", + "62. 0.133634811609285\n", + "63. 0.395736250084447\n", + "64. 0.266857669852584\n", + "65. 0.190836482743813\n", + "66. 0.301923022316609\n", + "67. 0.285834530928797\n", + "68. 0.158524637721881\n", + "69. 0.188886150852128\n", + "70. 0.20813415311888\n", + "71. 0.0897850636528581\n", + "72. 0.134946678236567\n", + "73. 0.184954470185265\n", + "74. 0.375015521974414\n", + "75. 0.31499338491448\n", + "76. 0.180961364879445\n", + "77. 0.248068862349169\n", + "78. 0.205966560626727\n", + "79. 0.334354573656603\n", + "80. 0.338590289618353\n", + "81. 0.316685359956728\n", + "82. 0.153283719661428\n", + "83. 0.159068237908445\n", + "84. 0.173749776992487\n", + "85. 0.33303138028297\n", + "86. 0.268809616044743\n", + "87. 0.347164484158048\n", + "88. 0.0945370587451841\n", + "89. 0.166044077624373\n", + "90. 0.142174941585274\n", + "91. 0.256258496434062\n", + "92. 0.342506091194186\n", + "93. 0.164364237711952\n", + "94. 0.19840146493648\n", + "95. 0.183844751421235\n", + "96. 0.176349485339186\n", + "97. 0.226554752972503\n", + "98. 0.183411162986521\n", + "99. 0.316082574909651\n", + "100. 0.227330194436653\n", + "\n", + "\n", + "\n", + "24. 1. 0.246139455669671\n", + "2. 0.317349989443328\n", + "3. 0.308443748163292\n", + "4. 0.233964041012697\n", + "5. 0.294655941338073\n", + "6. 0.165955292573195\n", + "7. 0.314750654112917\n", + "8. 0.174862984693589\n", + "9. 0.164492402349141\n", + "10. 0.125154894625924\n", + "11. 0.113612330842309\n", + "12. 0.252177263819762\n", + "13. 0.0902175888665295\n", + "14. 0.201748303827671\n", + "15. 0.295058881505006\n", + "16. 0.278982172016486\n", + "17. 0.36453471544105\n", + "18. 0.156528733888306\n", + "19. 0.194741780589889\n", + "20. 0.348987632837185\n", + "21. 0.193736866666545\n", + "22. 0.26921484094665\n", + "23. 0.44908270816122\n", + "24. 0.22517079510348\n", + "25. 0.183781677408359\n", + "26. 0.373902566356893\n", + "27. 0.341900353617433\n", + "28. 0.189754540593609\n", + "29. 0.436752770236124\n", + "30. 0.146875327797104\n", + "31. 0.351657489739037\n", + "32. 0.183782746875234\n", + "33. 0.36413729694299\n", + "34. 0.251075244737473\n", + "35. 0.308108210056103\n", + "36. 0.170945567727556\n", + "37. 0.293799387615826\n", + "38. 0.221611434765456\n", + "39. 0.434696825321072\n", + "40. 0.172634958424491\n", + "41. 0.178294210647384\n", + "42. 0.172705772092658\n", + "43. 0.249477710218769\n", + "44. 0.108734710445387\n", + "45. 0.204050806450659\n", + "46. 0.352509411048064\n", + "47. 0.410010672340755\n", + "48. 0.234209219883811\n", + "49. 0.1685255248877\n", + "50. 0.278647473760469\n", + "51. 0.222748857862203\n", + "52. 0.325626596869121\n", + "53. 0.175457102187507\n", + "54. 0.25657948832113\n", + "55. 0.2618449475466\n", + "56. 0.166893838469619\n", + "57. 0.268779799108414\n", + "58. 0.173774215386422\n", + "59. 0.158828424492142\n", + "60. 0.182862224769521\n", + "61. 0.122865401786831\n", + "62. 0.162664562189831\n", + "63. 0.225135391898507\n", + "64. 0.395696539315223\n", + "65. 0.189816381708917\n", + "66. 0.36792039632632\n", + "67. 0.385331418450224\n", + "68. 0.270812812524401\n", + "69. 0.289783443051804\n", + "70. 0.259808452801012\n", + "71. 0.229773153596707\n", + "72. 0.274855542507267\n", + "73. 0.111693820603452\n", + "74. 0.194491292871649\n", + "75. 0.163950118319139\n", + "76. 0.267489736026724\n", + "77. 0.269197547256914\n", + "78. 0.371964624006019\n", + "79. 0.185784591278827\n", + "80. 0.208068205146784\n", + "81. 0.16959207515989\n", + "82. 0.376816291549706\n", + "83. 0.292734103827913\n", + "84. 0.178009774108406\n", + "85. 0.178512197278478\n", + "86. 0.236281997550545\n", + "87. 0.19315642904214\n", + "88. 0.310104022353557\n", + "89. 0.238441928290156\n", + "90. 0.348043729126349\n", + "91. 0.227951322947844\n", + "92. 0.20570879996797\n", + "93. 0.064643342273894\n", + "94. 0.258118222121776\n", + "95. 0.119990192195826\n", + "96. 0.184895399002661\n", + "97. 0.196343864705496\n", + "98. 0.199239032694413\n", + "99. 0.318728658944084\n", + "100. 0.204877523446974\n", + "\n", + "\n", + "\n", + "25. 1. 0.247982950136022\n", + "2. 0.287435471518596\n", + "3. 0.371347419165813\n", + "4. 0.252568039794498\n", + "5. 0.245047677836292\n", + "6. 0.113511481114985\n", + "7. 0.156841333221396\n", + "8. 0.332329779507319\n", + "9. 0.0646592939480963\n", + "10. 0.287821314286557\n", + "11. 0.324597334755564\n", + "12. 0.241525184620302\n", + "13. 0.266555688251132\n", + "14. 0.314938177288254\n", + "15. 0.235305856439464\n", + "16. 0.1501851397061\n", + "17. 0.221351200983121\n", + "18. 0.227821920779064\n", + "19. 0.185217117258164\n", + "20. 0.0849998516644316\n", + "21. 0.246274340713724\n", + "22. 0.181984172146513\n", + "23. 0.149029891614856\n", + "24. 0.326251265156262\n", + "25. 0.259494446941853\n", + "26. 0.287778082821253\n", + "27. 0.383044658579449\n", + "28. 0.280886971130444\n", + "29. 0.183037608153589\n", + "30. 0.186929373343791\n", + "31. 0.322725621981846\n", + "32. 0.240711768862482\n", + "33. 0.201110147805405\n", + "34. 0.318852890314346\n", + "35. 0.311092455580314\n", + "36. 0.274870028918096\n", + "37. 0.197045354426484\n", + "38. 0.160459656389427\n", + "39. 0.328460584466288\n", + "40. 0.292701604791949\n", + "41. 0.248781362186486\n", + "42. 0.177998052376884\n", + "43. 0.348290115789825\n", + "44. 0.211969756201552\n", + "45. 0.256259119691242\n", + "46. 0.168568062557884\n", + "47. 0.194152849149563\n", + "48. 0.277618895805508\n", + "49. 0.263488679144207\n", + "50. 0.285808836232257\n", + "51. 0.306218682382178\n", + "52. 0.289773139668619\n", + "53. 0.337271425957801\n", + "54. 0.330115966370604\n", + "55. 0.302861477545083\n", + "56. 0.256138794185804\n", + "57. 0.372309326027851\n", + "58. 0.238435615553146\n", + "59. 0.31487304675569\n", + "60. 0.211374987067008\n", + "61. 0.315076581038092\n", + "62. 0.287400507704396\n", + "63. 0.269065469817915\n", + "64. 0.289849608509531\n", + "65. 0.131632416577249\n", + "66. 0.172284704666863\n", + "67. 0.238595463418972\n", + "68. 0.24689110714364\n", + "69. 0.171375803654396\n", + "70. 0.106012703064025\n", + "71. 0.35059513270989\n", + "72. 0.350586493234616\n", + "73. 0.306509826456737\n", + "74. 0.228577493604696\n", + "75. 0.182575843309583\n", + "76. 0.318246666861427\n", + "77. 0.192657152007794\n", + "78. 0.367112070547261\n", + "79. 0.354515310196493\n", + "80. 0.129486525648005\n", + "81. 0.257197689888894\n", + "82. 0.285583248342363\n", + "83. 0.23494478970356\n", + "84. 0.249457129609523\n", + "85. 0.116995826491066\n", + "86. 0.131739742024037\n", + "87. 0.200720283340661\n", + "88. 0.274459620452758\n", + "89. 0.261548775171185\n", + "90. 0.36058745440959\n", + "91. 0.266947915957835\n", + "92. 0.303610484310734\n", + "93. 0.215482189579385\n", + "94. 0.2698082047662\n", + "95. 0.37142419019318\n", + "96. 0.235605889029869\n", + "97. 0.274516171851071\n", + "98. 0.103097216287457\n", + "99. 0.377717174813333\n", + "100. 0.1294953539538\n", + "\n", + "\n", + "\n", + "26. 1. 0.318495473283463\n", + "2. 0.254729414152323\n", + "3. 0.348379557781787\n", + "4. 0.321672521777053\n", + "5. 0.287628824445088\n", + "6. 0.321875392703414\n", + "7. 0.319355942456671\n", + "8. 0.214902214860957\n", + "9. 0.197728944995993\n", + "10. 0.176921889525785\n", + "11. 0.29579293280468\n", + "12. 0.257290018058692\n", + "13. 0.156762951957685\n", + "14. 0.236510936767152\n", + "15. 0.279477886519\n", + "16. 0.425654711306051\n", + "17. 0.257883452419009\n", + "18. 0.393789000324561\n", + "19. 0.19252127987782\n", + "20. 0.330377464613084\n", + "21. 0.227636768387111\n", + "22. 0.151256899873631\n", + "23. 0.283153404605397\n", + "24. 0.199212666358577\n", + "25. 0.335666150288514\n", + "26. 0.221425392710605\n", + "27. 0.262251189198895\n", + "28. 0.236442897706712\n", + "29. 0.197801632859849\n", + "30. 0.260377189745554\n", + "31. 0.159674119732786\n", + "32. 0.313462875433865\n", + "33. 0.221609038307514\n", + "34. 0.235853373677715\n", + "35. 0.273796926194785\n", + "36. 0.223712059800873\n", + "37. 0.196613608324518\n", + "38. 0.207618854713661\n", + "39. 0.204586100316654\n", + "40. 0.231170192686152\n", + "41. 0.321281172622842\n", + "42. 0.321902809263303\n", + "43. 0.325346156437222\n", + "44. 0.179129388253775\n", + "45. 0.354149790991642\n", + "46. 0.247955366347698\n", + "47. 0.323713100286476\n", + "48. 0.402675424191524\n", + "49. 0.125623973640505\n", + "50. 0.32710975180066\n", + "51. 0.29496649233237\n", + "52. 0.195646341092398\n", + "53. 0.241748949930607\n", + "54. 0.349739817511116\n", + "55. 0.232634704486558\n", + "56. 0.390781300841244\n", + "57. 0.296364413775562\n", + "58. 0.295884931102676\n", + "59. 0.217526673522348\n", + "60. 0.239665645133726\n", + "61. 0.289236039482095\n", + "62. 0.346862102210175\n", + "63. 0.355376533658741\n", + "64. 0.218160846435716\n", + "65. 0.162581541322819\n", + "66. 0.259796343280982\n", + "67. 0.318542126125841\n", + "68. 0.255081865330679\n", + "69. 0.398850987434892\n", + "70. 0.121665591820209\n", + "71. 0.257509306468092\n", + "72. 0.336031876806368\n", + "73. 0.324942669154003\n", + "74. 0.190218264601737\n", + "75. 0.138082715461182\n", + "76. 0.357008545896595\n", + "77. 0.228941552222093\n", + "78. 0.290773710977795\n", + "79. 0.225660417325312\n", + "80. 0.233073378459731\n", + "81. 0.402321563003857\n", + "82. 0.254999648229152\n", + "83. 0.325507268878562\n", + "84. 0.323937480230863\n", + "85. 0.257500554713098\n", + "86. 0.249021857185919\n", + "87. 0.297465114825921\n", + "88. 0.218954664802812\n", + "89. 0.312342865704377\n", + "90. 0.221630361441222\n", + "91. 0.141787930079567\n", + "92. 0.202962644168319\n", + "93. 0.236328267721281\n", + "94. 0.201259044035332\n", + "95. 0.4335900779585\n", + "96. 0.226692905687047\n", + "97. 0.197828705526731\n", + "98. 0.131413773213343\n", + "99. 0.217844229701483\n", + "100. 0.374822553375191\n", + "\n", + "\n", + "\n", + "27. 1. 0.329616116623773\n", + "2. 0.117068783065181\n", + "3. 0.203075127338521\n", + "4. 0.25600807401635\n", + "5. 0.0806715161334806\n", + "6. 0.199228911250074\n", + "7. 0.144759187310041\n", + "8. 0.209510884546244\n", + "9. 0.330709069080826\n", + "10. 0.112630573976094\n", + "11. 0.155233118062323\n", + "12. 0.259513683855288\n", + "13. 0.270180692301478\n", + "14. 0.244029867478368\n", + "15. 0.130576077197243\n", + "16. 0.340000405638353\n", + "17. 0.184033661933631\n", + "18. 0.25580243310114\n", + "19. 0.129907938152798\n", + "20. 0.201358506025785\n", + "21. 0.179711036630119\n", + "22. 0.21790178851017\n", + "23. 0.147443552313778\n", + "24. 0.255442047223903\n", + "25. 0.301846286740816\n", + "26. 0.176056394656363\n", + "27. 0.22186249619114\n", + "28. 0.165541737216907\n", + "29. 0.285621269801194\n", + "30. 0.346140034694049\n", + "31. 0.160547987188896\n", + "32. 0.271475604196556\n", + "33. 0.198987935008389\n", + "34. 0.142101580103806\n", + "35. 0.150502431418405\n", + "36. 0.268442657655242\n", + "37. 0.332573521373666\n", + "38. 0.219321445036751\n", + "39. 0.148605103611737\n", + "40. 0.17281010839638\n", + "41. 0.291022575710233\n", + "42. 0.288445481860071\n", + "43. 0.283489390958358\n", + "44. 0.191030345860449\n", + "45. 0.152695133113266\n", + "46. 0.325124212480159\n", + "47. 0.196008023530181\n", + "48. 0.128895576210558\n", + "49. 0.149524209348097\n", + "50. 0.134417828240651\n", + "51. 0.144210772486515\n", + "52. 0.116626843698602\n", + "53. 0.203834336972237\n", + "54. 0.215942332193546\n", + "55. 0.18963573671712\n", + "56. 0.167374339795973\n", + "57. 0.261123857394218\n", + "58. 0.162210369073639\n", + "59. 0.205912638748724\n", + "60. 0.339446486550053\n", + "61. 0.232366815155138\n", + "62. 0.170754400314264\n", + "63. 0.311001384699945\n", + "64. 0.0984204760780504\n", + "65. 0.198520806556127\n", + "66. 0.186924344194118\n", + "67. 0.268063378814893\n", + "68. 0.215880045864693\n", + "69. 0.25810916726115\n", + "70. 0.173652237247292\n", + "71. 0.148633743484098\n", + "72. 0.275869428753282\n", + "73. 0.421645593598521\n", + "74. 0.251482774849486\n", + "75. 0.291848848103494\n", + "76. 0.244419927694577\n", + "77. 0.221746894831363\n", + "78. 0.14489344723202\n", + "79. 0.226638582158732\n", + "80. 0.184151773591225\n", + "81. 0.31557672168542\n", + "82. 0.202067870400985\n", + "83. 0.198732569769454\n", + "84. 0.298799677156785\n", + "85. 0.175905549355787\n", + "86. 0.312577357578055\n", + "87. 0.443380015368338\n", + "88. 0.225230195406636\n", + "89. 0.220302661675154\n", + "90. 0.154677248515167\n", + "91. 0.215249529368091\n", + "92. 0.10040467285518\n", + "93. 0.11841346398273\n", + "94. 0.287921719569429\n", + "95. 0.113901515179341\n", + "96. 0.29536946810482\n", + "97. 0.121305251054668\n", + "98. 0.286038656022657\n", + "99. 0.110431509339551\n", + "100. 0.303227642679658\n", + "\n", + "\n", + "\n", + "28. 1. 0.361778111433324\n", + "2. 0.340738701518062\n", + "3. 0.365855933260739\n", + "4. 0.379370400055094\n", + "5. 0.237365326951922\n", + "6. 0.303748513599664\n", + "7. 0.315085995416067\n", + "8. 0.327764628041847\n", + "9. 0.247085138485316\n", + "10. 0.455468335325521\n", + "11. 0.361169183996806\n", + "12. 0.311481367380179\n", + "13. 0.438687596571522\n", + "14. 0.322121958413769\n", + "15. 0.16684328995618\n", + "16. 0.413537931982411\n", + "17. 0.251871728353327\n", + "18. 0.30332040725707\n", + "19. 0.391801183523056\n", + "20. 0.411985896282192\n", + "21. 0.399595823040025\n", + "22. 0.337568981719465\n", + "23. 0.309449888740872\n", + "24. 0.203350161983884\n", + "25. 0.292777827525075\n", + "26. 0.337342372421575\n", + "27. 0.404962590436759\n", + "28. 0.408549362894325\n", + "29. 0.411280551605334\n", + "30. 0.332724181441355\n", + "31. 0.321335071960193\n", + "32. 0.264098521404938\n", + "33. 0.23474912207049\n", + "34. 0.263309773475011\n", + "35. 0.214526813015151\n", + "36. 0.310498377744985\n", + "37. 0.368620981145155\n", + "38. 0.41393417197754\n", + "39. 0.270415121402735\n", + "40. 0.340257678677617\n", + "41. 0.22044766951144\n", + "42. 0.336398864021669\n", + "43. 0.220317487115425\n", + "44. 0.339830496742693\n", + "45. 0.143370049472706\n", + "46. 0.287337825738165\n", + "47. 0.205850452853355\n", + "48. 0.307395574975489\n", + "49. 0.374102613250771\n", + "50. 0.281390547442456\n", + "51. 0.17664770046287\n", + "52. 0.299791663980921\n", + "53. 0.461363600543787\n", + "54. 0.212313408907747\n", + "55. 0.363783398846348\n", + "56. 0.326892600510894\n", + "57. 0.116100243883801\n", + "58. 0.323728323411924\n", + "59. 0.311613596818773\n", + "60. 0.232936440131676\n", + "61. 0.302814311410355\n", + "62. 0.349177808101153\n", + "63. 0.307123072791019\n", + "64. 0.246972532605101\n", + "65. 0.285679924075504\n", + "66. 0.315505226779279\n", + "67. 0.394934321293107\n", + "68. 0.327713096690975\n", + "69. 0.186217645049991\n", + "70. 0.172500412089176\n", + "71. 0.374759599803223\n", + "72. 0.40969327139124\n", + "73. 0.327794219334655\n", + "74. 0.279815595075246\n", + "75. 0.276145426496518\n", + "76. 0.225179403568607\n", + "77. 0.506114622717113\n", + "78. 0.306071665153056\n", + "79. 0.330327441013235\n", + "80. 0.248699781126548\n", + "81. 0.331657131091756\n", + "82. 0.252961229569427\n", + "83. 0.404008289492013\n", + "84. 0.219527761715466\n", + "85. 0.359598638320558\n", + "86. 0.369591898482636\n", + "87. 0.474283386296703\n", + "88. 0.4934103947514\n", + "89. 0.324907375797342\n", + "90. 0.269109789087176\n", + "91. 0.291234706473088\n", + "92. 0.362774219365435\n", + "93. 0.504388725276164\n", + "94. 0.268051231254605\n", + "95. 0.290356332630468\n", + "96. 0.314028837881718\n", + "97. 0.320569502819976\n", + "98. 0.269433029910834\n", + "99. 0.328106729026481\n", + "100. 0.245392158378857\n", + "\n", + "\n", + "\n", + "29. 1. 0.227010816651471\n", + "2. 0.225180542484229\n", + "3. 0.241846539706175\n", + "4. 0.359021636698072\n", + "5. 0.137186109923929\n", + "6. 0.265094585978597\n", + "7. 0.302166561170848\n", + "8. 0.25171649782527\n", + "9. 0.159820018787196\n", + "10. 0.258141424127794\n", + "11. 0.216947709136502\n", + "12. 0.133824322839075\n", + "13. 0.33853547636683\n", + "14. 0.246182575299544\n", + "15. 0.255891022299077\n", + "16. 0.0939718566081048\n", + "17. 0.306305728829847\n", + "18. 0.277018687203822\n", + "19. 0.211124416239853\n", + "20. 0.264791194870471\n", + "21. 0.201626572169147\n", + "22. 0.267228227307895\n", + "23. 0.369181515708718\n", + "24. 0.204397680496844\n", + "25. 0.195059936018851\n", + "26. 0.270643098462176\n", + "27. 0.354837301767669\n", + "28. 0.310234882474096\n", + "29. 0.253399943107951\n", + "30. 0.165530914135423\n", + "31. 0.144913047941412\n", + "32. 0.291544390149185\n", + "33. 0.204011794478219\n", + "34. 0.248710347042426\n", + "35. 0.250071543310435\n", + "36. 0.16285693397527\n", + "37. 0.295656913604135\n", + "38. 0.0461215204752213\n", + "39. 0.106302906838321\n", + "40. 0.0927762555522871\n", + "41. 0.189420009987606\n", + "42. 0.131610167064502\n", + "43. 0.198119530302426\n", + "44. 0.202141493719666\n", + "45. 0.252525805763644\n", + "46. 0.257917558078907\n", + "47. 0.202670226263694\n", + "48. 0.192382584954074\n", + "49. 0.160010132428017\n", + "50. 0.236809785430186\n", + "51. 0.136016910889976\n", + "52. 0.232505643951256\n", + "53. 0.151166490119631\n", + "54. 0.275419705518375\n", + "55. 0.319878112979854\n", + "56. 0.198633709795727\n", + "57. 0.351319172140704\n", + "58. 0.121549367986761\n", + "59. 0.195113002117411\n", + "60. 0.27363418681508\n", + "61. 0.180572894192132\n", + "62. 0.287914719651206\n", + "63. 0.206804632497127\n", + "64. 0.338537339268499\n", + "65. 0.267496161407832\n", + "66. 0.21151353405942\n", + "67. 0.348117567024643\n", + "68. 0.281898101414488\n", + "69. 0.359604739884894\n", + "70. 0.30447554038936\n", + "71. 0.226530522479008\n", + "72. 0.150997579291561\n", + "73. 0.248558758790965\n", + "74. 0.195860252532986\n", + "75. 0.334948272572877\n", + "76. 0.280393951323874\n", + "77. 0.208521990094845\n", + "78. 0.222035615514236\n", + "79. 0.298377768615282\n", + "80. 0.281271111882239\n", + "81. 0.125186085878393\n", + "82. 0.221555145937755\n", + "83. 0.108051671123638\n", + "84. 0.157537926789548\n", + "85. 0.233602946509492\n", + "86. 0.115147836135133\n", + "87. 0.224008873475403\n", + "88. 0.18595854968678\n", + "89. 0.400434064011071\n", + "90. 0.214903635664937\n", + "91. 0.291186397572837\n", + "92. 0.226632555488428\n", + "93. 0.23534677475111\n", + "94. 0.205453749371486\n", + "95. 0.141979701468716\n", + "96. 0.258266470586608\n", + "97. 0.177028108948053\n", + "98. 0.411955822147367\n", + "99. 0.154984435441496\n", + "100. 0.246248047020582\n", + "\n", + "\n", + "\n", + "30. 1. 0.270930108147223\n", + "2. 0.177876766328158\n", + "3. 0.326450766464154\n", + "4. 0.311502662205435\n", + "5. 0.225691622771454\n", + "6. 0.252421874803098\n", + "7. 0.305674432307848\n", + "8. 0.29268862373965\n", + "9. 0.194925046064698\n", + "10. 0.310059958814278\n", + "11. 0.22464101547952\n", + "12. 0.325501689763591\n", + "13. 0.289158300035728\n", + "14. 0.471148425971653\n", + "15. 0.125100321409708\n", + "16. 0.305765636656787\n", + "17. 0.310819911751819\n", + "18. 0.332645443578637\n", + "19. 0.238808540510156\n", + "20. 0.336320211174754\n", + "21. 0.328517322617188\n", + "22. 0.247330496815013\n", + "23. 0.179357648935078\n", + "24. 0.28135674436891\n", + "25. 0.37302197068191\n", + "26. 0.352168551658148\n", + "27. 0.223018214112201\n", + "28. 0.397644197105878\n", + "29. 0.235761430176604\n", + "30. 0.192750991075275\n", + "31. 0.341109178084237\n", + "32. 0.416708991642802\n", + "33. 0.288104658701457\n", + "34. 0.267173676452772\n", + "35. 0.22904998741081\n", + "36. 0.314887650299678\n", + "37. 0.323535399959081\n", + "38. 0.131428406831907\n", + "39. 0.304437377625684\n", + "40. 0.298509322583498\n", + "41. 0.249828878045833\n", + "42. 0.241536135602651\n", + "43. 0.276700972732359\n", + "44. 0.291509525092864\n", + "45. 0.370742030514011\n", + "46. 0.243534310944817\n", + "47. 0.461846460009986\n", + "48. 0.302994529746564\n", + "49. 0.267367793777981\n", + "50. 0.279833907422949\n", + "51. 0.197912115352514\n", + "52. 0.318842824293737\n", + "53. 0.213496506566727\n", + "54. 0.34343922230386\n", + "55. 0.341171059824762\n", + "56. 0.266282413258355\n", + "57. 0.274222996643047\n", + "58. 0.151618643768171\n", + "59. 0.251412304116758\n", + "60. 0.292404259117342\n", + "61. 0.209982982648606\n", + "62. 0.175851735907231\n", + "63. 0.217850272801846\n", + "64. 0.182113702763952\n", + "65. 0.395686679672485\n", + "66. 0.265379356460831\n", + "67. 0.17187858928874\n", + "68. 0.281797427491004\n", + "69. 0.395880109031718\n", + "70. 0.412830360402528\n", + "71. 0.200011199953221\n", + "72. 0.190613258167763\n", + "73. 0.267300807379002\n", + "74. 0.235473580998451\n", + "75. 0.268322384453076\n", + "76. 0.198496320252163\n", + "77. 0.344005082096232\n", + "78. 0.26888938011593\n", + "79. 0.323646552371372\n", + "80. 0.331163309910553\n", + "81. 0.401709295564534\n", + "82. 0.331604475559368\n", + "83. 0.245440737550696\n", + "84. 0.337254238330085\n", + "85. 0.194675009760544\n", + "86. 0.207529648871509\n", + "87. 0.184599653441381\n", + "88. 0.309942208946244\n", + "89. 0.317343574029434\n", + "90. 0.368928329318196\n", + "91. 0.165182103522582\n", + "92. 0.196011747662001\n", + "93. 0.247511801080934\n", + "94. 0.272576156522699\n", + "95. 0.28068322609159\n", + "96. 0.392473077483803\n", + "97. 0.375649684344052\n", + "98. 0.226816957958147\n", + "99. 0.132110264803671\n", + "100. 0.290299315051289\n", + "\n", + "\n", + "\n", + "31. 1. 0.369357108454856\n", + "2. 0.328166263685525\n", + "3. 0.214391088860316\n", + "4. 0.301144268664908\n", + "5. 0.222932107097144\n", + "6. 0.25326895978093\n", + "7. 0.290049679227366\n", + "8. 0.284519587137041\n", + "9. 0.238850232444877\n", + "10. 0.183815803579899\n", + "11. 0.384868932444073\n", + "12. 0.314174727497634\n", + "13. 0.274120103460756\n", + "14. 0.248127394259982\n", + "15. 0.28937366932916\n", + "16. 0.3881922310188\n", + "17. 0.241184061471425\n", + "18. 0.227830186982434\n", + "19. 0.323130479239858\n", + "20. 0.285531429405514\n", + "21. 0.258285497703365\n", + "22. 0.207033239803604\n", + "23. 0.247013568665589\n", + "24. 0.275962669975821\n", + "25. 0.210612283864078\n", + "26. 0.320965582346712\n", + "27. 0.3079899087939\n", + "28. 0.35311217182634\n", + "29. 0.336714055929801\n", + "30. 0.215606415899826\n", + "31. 0.141032512407652\n", + "32. 0.292819616476268\n", + "33. 0.369520527374547\n", + "34. 0.0559939508022221\n", + "35. 0.230778717879463\n", + "36. 0.229153254965806\n", + "37. 0.385111297803213\n", + "38. 0.270982860968593\n", + "39. 0.321174800332616\n", + "40. 0.289840617893645\n", + "41. 0.260635495773929\n", + "42. 0.278719559793315\n", + "43. 0.167885172394095\n", + "44. 0.334464782975352\n", + "45. 0.247456964581351\n", + "46. 0.181321486801134\n", + "47. 0.166837046115234\n", + "48. 0.328621367378435\n", + "49. 0.187449074086088\n", + "50. 0.325105212479542\n", + "51. 0.183365201169757\n", + "52. 0.319494330382975\n", + "53. 0.198864460019807\n", + "54. 0.289307784140216\n", + "55. 0.277867709733562\n", + "56. 0.29187914227493\n", + "57. 0.225330707437201\n", + "58. 0.268742763387559\n", + "59. 0.0954081539518639\n", + "60. 0.120900599886892\n", + "61. 0.197052279536593\n", + "62. 0.2206081677614\n", + "63. 0.137663331161831\n", + "64. 0.193625815387993\n", + "65. 0.193074697568478\n", + "66. 0.20944706776631\n", + "67. 0.255524848531044\n", + "68. 0.209487047202779\n", + "69. 0.256332343770929\n", + "70. 0.33199074300436\n", + "71. 0.192009080479191\n", + "72. 0.356301222216686\n", + "73. 0.154810890321156\n", + "74. 0.340930068723255\n", + "75. 0.283516092975303\n", + "76. 0.330801055056987\n", + "77. 0.349666634609693\n", + "78. 0.281932948467863\n", + "79. 0.372935977800923\n", + "80. 0.0486885719666052\n", + "81. 0.228423236526781\n", + "82. 0.37483219427622\n", + "83. 0.316588387115947\n", + "84. 0.365053524794327\n", + "85. 0.224134357795673\n", + "86. 0.305753444597979\n", + "87. 0.123731404639426\n", + "88. 0.238234676489096\n", + "89. 0.228508952025722\n", + "90. 0.357434060317197\n", + "91. 0.287683947814143\n", + "92. 0.238086501606725\n", + "93. 0.295632618663379\n", + "94. 0.194923125195972\n", + "95. 0.242911648027763\n", + "96. 0.261548855670197\n", + "97. 0.290427227682332\n", + "98. 0.210397691071143\n", + "99. 0.275151778272603\n", + "100. 0.145035330619346\n", + "\n", + "\n", + "\n", + "32. 1. 0.278706712720645\n", + "2. 0.384600866871139\n", + "3. 0.337742642900078\n", + "4. 0.290807295618172\n", + "5. 0.372465618625555\n", + "6. 0.170638587242611\n", + "7. 0.270501409815486\n", + "8. 0.272613800134034\n", + "9. 0.269818707171584\n", + "10. 0.227194820777991\n", + "11. 0.253955631457548\n", + "12. 0.182228177452946\n", + "13. 0.284797948877348\n", + "14. 0.190049206154975\n", + "15. 0.204252349369701\n", + "16. 0.191703871651745\n", + "17. 0.320345993961341\n", + "18. 0.225484779313903\n", + "19. 0.37652643184257\n", + "20. 0.150176701891321\n", + "21. 0.306026928538035\n", + "22. 0.20180752654721\n", + "23. 0.233449847274726\n", + "24. 0.432293874748755\n", + "25. 0.201273078031977\n", + "26. 0.377410127559696\n", + "27. 0.308073284704806\n", + "28. 0.308219354858608\n", + "29. 0.371124418026534\n", + "30. 0.0989645634302895\n", + "31. 0.0582630881985472\n", + "32. 0.317414181903086\n", + "33. 0.129516807441889\n", + "34. 0.392721215327409\n", + "35. 0.293432722737836\n", + "36. 0.390849766181798\n", + "37. 0.23813374997834\n", + "38. 0.11998436882062\n", + "39. 0.171058274000298\n", + "40. 0.150803676106612\n", + "41. 0.297424377479252\n", + "42. 0.320942430042719\n", + "43. 0.296836180461907\n", + "44. 0.224570798592253\n", + "45. 0.158297624284245\n", + "46. 0.267667974077646\n", + "47. 0.290740396326794\n", + "48. 0.273174685316683\n", + "49. 0.348959013638554\n", + "50. 0.193750213508765\n", + "51. 0.292701479860511\n", + "52. 0.353773976491022\n", + "53. 0.346778708846967\n", + "54. 0.179415764492574\n", + "55. 0.246557868177932\n", + "56. 0.38511843542881\n", + "57. 0.19464873554287\n", + "58. 0.306492370995495\n", + "59. 0.182982064451087\n", + "60. 0.29873641699558\n", + "61. 0.151585605206994\n", + "62. 0.276077845294268\n", + "63. 0.235888543028966\n", + "64. 0.308099279596707\n", + "65. 0.154252038384723\n", + "66. 0.298819713494792\n", + "67. 0.21984938539789\n", + "68. 0.257429937898697\n", + "69. 0.363207467587967\n", + "70. 0.200074968976777\n", + "71. 0.313623465142025\n", + "72. 0.390359149735605\n", + "73. 0.459082303918814\n", + "74. 0.32682094846066\n", + "75. 0.27396857465865\n", + "76. 0.309877071253737\n", + "77. 0.340415388705651\n", + "78. 0.230831956843418\n", + "79. 0.309633764937289\n", + "80. 0.111071717402833\n", + "81. 0.131723914946417\n", + "82. 0.0898874272400567\n", + "83. 0.265605997504588\n", + "84. 0.277477457167287\n", + "85. 0.250953152282822\n", + "86. 0.31049041500988\n", + "87. 0.180942711719931\n", + "88. 0.261993956853093\n", + "89. 0.182330648379544\n", + "90. 0.243863243512054\n", + "91. 0.284271868906468\n", + "92. 0.180856861632697\n", + "93. 0.33767499125609\n", + "94. 0.42328087346633\n", + "95. 0.38274110223732\n", + "96. 0.179116710486157\n", + "97. 0.371570470191736\n", + "98. 0.18034300801457\n", + "99. 0.265090237352226\n", + "100. 0.346718715733203\n", + "\n", + "\n", + "\n", + "33. 1. 0.221699957315788\n", + "2. 0.423065127386284\n", + "3. 0.196877074801112\n", + "4. 0.396385197763442\n", + "5. 0.248493561475673\n", + "6. 0.418341797058424\n", + "7. 0.424855151958626\n", + "8. 0.290552286481526\n", + "9. 0.40361508752213\n", + "10. 0.168667787150047\n", + "11. 0.453369836788275\n", + "12. 0.325055052455796\n", + "13. 0.218121196870763\n", + "14. 0.375807506683099\n", + "15. 0.219213005593582\n", + "16. 0.201598880798623\n", + "17. 0.221802038829747\n", + "18. 0.231113975390313\n", + "19. 0.320521308685927\n", + "20. 0.368850526093681\n", + "21. 0.242800814462639\n", + "22. 0.129896533845109\n", + "23. 0.283921428608339\n", + "24. 0.153885077567327\n", + "25. 0.203131082445161\n", + "26. 0.293571640004675\n", + "27. 0.170003025170717\n", + "28. 0.314045233344186\n", + "29. 0.296751799372516\n", + "30. 0.131424981976793\n", + "31. 0.281532823672439\n", + "32. 0.27836914656114\n", + "33. 0.155223063819847\n", + "34. 0.25000995263276\n", + "35. 0.345459234809627\n", + "36. 0.133857449795793\n", + "37. 0.143042437116153\n", + "38. 0.250499295070674\n", + "39. 0.301415401086951\n", + "40. 0.197290038352916\n", + "41. 0.363650474855073\n", + "42. 0.220560787756119\n", + "43. 0.235623125122992\n", + "44. 0.265822425474461\n", + "45. 0.340128266376588\n", + "46. 0.294344859514574\n", + "47. 0.222011396348681\n", + "48. 0.399122263690786\n", + "49. 0.221377443052187\n", + "50. 0.377014655068221\n", + "51. 0.212921792006236\n", + "52. 0.161867544053993\n", + "53. 0.123757905608666\n", + "54. 0.188649512282763\n", + "55. 0.226158905371819\n", + "56. 0.338843804194546\n", + "57. 0.304896479778208\n", + "58. 0.372652814695983\n", + "59. 0.303580469224839\n", + "60. 0.161284234294006\n", + "61. 0.305450316095443\n", + "62. 0.300105162498339\n", + "63. 0.208015319889821\n", + "64. 0.165335812872515\n", + "65. 0.192052885145463\n", + "66. 0.326821306941101\n", + "67. 0.353386028779029\n", + "68. 0.169072910067834\n", + "69. 0.258915012972416\n", + "70. 0.0993057830254\n", + "71. 0.298960476170276\n", + "72. 0.268006745791431\n", + "73. 0.192738852075723\n", + "74. 0.159246263325045\n", + "75. 0.286433371355897\n", + "76. 0.355620872250923\n", + "77. 0.177291956656387\n", + "78. 0.298436195564161\n", + "79. 0.181982933869122\n", + "80. 0.23021803974458\n", + "81. 0.145022921104437\n", + "82. 0.239598854232446\n", + "83. 0.360757679753909\n", + "84. 0.369291140456602\n", + "85. 0.334431668960433\n", + "86. 0.222888109633512\n", + "87. 0.192516870233395\n", + "88. 0.292925765068574\n", + "89. 0.383111328815358\n", + "90. 0.224258340602378\n", + "91. 0.177015479472131\n", + "92. 0.131795535415462\n", + "93. 0.230321184385022\n", + "94. 0.23230668958472\n", + "95. 0.216527808561034\n", + "96. 0.258893807567913\n", + "97. 0.32638304470148\n", + "98. 0.092887552734438\n", + "99. 0.327389740402328\n", + "100. 0.247859585169847\n", + "\n", + "\n", + "\n", + "34. 1. 0.365825053722338\n", + "2. 0.26295682162493\n", + "3. 0.310003283322433\n", + "4. 0.269338589631854\n", + "5. 0.237912111818124\n", + "6. 0.262071274733131\n", + "7. 0.226222542141413\n", + "8. 0.0510238281657285\n", + "9. 0.140887915957242\n", + "10. 0.400451281754872\n", + "11. 0.237775814904946\n", + "12. 0.237145824176368\n", + "13. 0.157518671275769\n", + "14. 0.102443280510432\n", + "15. 0.135332881424286\n", + "16. 0.287553756452332\n", + "17. 0.310064878395714\n", + "18. 0.201668375572443\n", + "19. 0.285206952130733\n", + "20. 0.160042105853873\n", + "21. 0.230354672144928\n", + "22. 0.267931491356813\n", + "23. 0.289042239462575\n", + "24. 0.393484672151212\n", + "25. 0.169524480268662\n", + "26. 0.363604005357027\n", + "27. 0.221528912097857\n", + "28. 0.212598147074017\n", + "29. 0.233873702175649\n", + "30. 0.384151445650416\n", + "31. 0.285218881616178\n", + "32. 0.45860937225883\n", + "33. 0.159649797003364\n", + "34. 0.282752521265243\n", + "35. 0.295911987099208\n", + "36. 0.089156559484515\n", + "37. 0.325918435965248\n", + "38. 0.320409854624012\n", + "39. 0.288660976774868\n", + "40. 0.0967862607893799\n", + "41. 0.337837558889387\n", + "42. 0.265705936528199\n", + "43. 0.23371278365215\n", + "44. 0.329467248557248\n", + "45. 0.300035147783219\n", + "46. 0.297905835242414\n", + "47. 0.252000645848901\n", + "48. 0.141269461035904\n", + "49. 0.187062379989642\n", + "50. 0.162753568279125\n", + "51. 0.286301633980821\n", + "52. 0.319984642581745\n", + "53. 0.370221798559086\n", + "54. 0.203935150276574\n", + "55. 0.3096046050697\n", + "56. 0.286657517826125\n", + "57. 0.301322455174785\n", + "58. 0.247114324319804\n", + "59. 0.209971942835129\n", + "60. 0.246542866219817\n", + "61. 0.3003428587605\n", + "62. 0.145420369864297\n", + "63. 0.335923860996031\n", + "64. 0.129008588437079\n", + "65. 0.251907568698243\n", + "66. 0.324353049942839\n", + "67. 0.36255193735929\n", + "68. 0.162636528677274\n", + "69. 0.320581298886634\n", + "70. 0.232065019516894\n", + "71. 0.178089487136784\n", + "72. 0.226979311955924\n", + "73. 0.3019577191104\n", + "74. 0.318772877749002\n", + "75. 0.209038328092165\n", + "76. 0.189719182883667\n", + "77. 0.418103532301014\n", + "78. 0.329420029230713\n", + "79. 0.327263530896291\n", + "80. 0.278969506304462\n", + "81. 0.257950869443331\n", + "82. 0.271706930853523\n", + "83. 0.302750745530096\n", + "84. 0.189097553686403\n", + "85. 0.402613420687303\n", + "86. 0.212168368165131\n", + "87. 0.273899537948651\n", + "88. 0.250898325278128\n", + "89. 0.374441448399685\n", + "90. 0.300972091610197\n", + "91. 0.278778855047844\n", + "92. 0.198286683255428\n", + "93. 0.405708310632579\n", + "94. 0.260394032435087\n", + "95. 0.306397883563773\n", + "96. 0.255041044070812\n", + "97. 0.263248664967047\n", + "98. 0.32498711522619\n", + "99. 0.308952222895191\n", + "100. 0.0920841301623038\n", + "\n", + "\n", + "\n", + "35. 1. 0.190411070725761\n", + "2. 0.324256586736064\n", + "3. 0.373703160664028\n", + "4. 0.291402392344187\n", + "5. 0.312593271940921\n", + "6. 0.243896532266048\n", + "7. 0.351022733246559\n", + "8. 0.411970600465036\n", + "9. 0.339717118585915\n", + "10. 0.18436954592643\n", + "11. 0.324726883828074\n", + "12. 0.273334167739064\n", + "13. 0.355069693724124\n", + "14. 0.375834826237086\n", + "15. 0.365256546872139\n", + "16. 0.342249571020619\n", + "17. 0.433466734922885\n", + "18. 0.344887617970226\n", + "19. 0.316206868464259\n", + "20. 0.354097013916149\n", + "21. 0.365593111027422\n", + "22. 0.268207969352331\n", + "23. 0.417773072544701\n", + "24. 0.160563597341517\n", + "25. 0.411803761854413\n", + "26. 0.290421531384728\n", + "27. 0.342361354908008\n", + "28. 0.302477730574999\n", + "29. 0.363487497177117\n", + "30. 0.397599095846694\n", + "31. 0.204363160197464\n", + "32. 0.3583596942615\n", + "33. 0.298292060499694\n", + "34. 0.283340472561902\n", + "35. 0.466501722831093\n", + "36. 0.353397532485648\n", + "37. 0.225136397153026\n", + "38. 0.288576538851859\n", + "39. 0.406063092055211\n", + "40. 0.249832291068209\n", + "41. 0.137097415404335\n", + "42. 0.319047627038022\n", + "43. 0.197006914403467\n", + "44. 0.159849547126868\n", + "45. 0.35994074473824\n", + "46. 0.30653989364027\n", + "47. 0.214906184207884\n", + "48. 0.235577779849441\n", + "49. 0.295845103946246\n", + "50. 0.137375341236812\n", + "51. 0.459465159817847\n", + "52. 0.288578219926137\n", + "53. 0.310568344517395\n", + "54. 0.242224081932779\n", + "55. 0.276403072851138\n", + "56. 0.249914241448902\n", + "57. 0.130188656318996\n", + "58. 0.196061582983647\n", + "59. 0.360923152091062\n", + "60. 0.295772265234781\n", + "61. 0.371091652576578\n", + "62. 0.280744745887474\n", + "63. 0.343438200699216\n", + "64. 0.27064504947963\n", + "65. 0.253508190785943\n", + "66. 0.332960864197205\n", + "67. 0.405504725713998\n", + "68. 0.184738725079468\n", + "69. 0.230252630931535\n", + "70. 0.225310077574273\n", + "71. 0.375237005297876\n", + "72. 0.342548021408566\n", + "73. 0.351849757695873\n", + "74. 0.294264643883821\n", + "75. 0.186568713080295\n", + "76. 0.412177684070407\n", + "77. 0.380565537217264\n", + "78. 0.280394151209661\n", + "79. 0.298126288169945\n", + "80. 0.288865622928207\n", + "81. 0.371868077391956\n", + "82. 0.257045442998499\n", + "83. 0.332560965134994\n", + "84. 0.350823995612141\n", + "85. 0.278437329527896\n", + "86. 0.436269271902683\n", + "87. 0.266306974356288\n", + "88. 0.416551618167957\n", + "89. 0.293077388530319\n", + "90. 0.288730140563364\n", + "91. 0.407249926224467\n", + "92. 0.207488188574026\n", + "93. 0.296220739204192\n", + "94. 0.305994325174798\n", + "95. 0.333063031434439\n", + "96. 0.253916990188453\n", + "97. 0.252856064581568\n", + "98. 0.236620017021553\n", + "99. 0.201299123645458\n", + "100. 0.277644009944249\n", + "\n", + "\n", + "\n", + "36. 1. 0.405370400866187\n", + "2. 0.328069982049612\n", + "3. 0.322491259552034\n", + "4. 0.28785239482007\n", + "5. 0.307973653418147\n", + "6. 0.279748518086159\n", + "7. 0.268885631729612\n", + "8. 0.303216824733374\n", + "9. 0.149153368809611\n", + "10. 0.145586150163085\n", + "11. 0.256890155007097\n", + "12. 0.333702481963231\n", + "13. 0.136873716080967\n", + "14. 0.232710312578496\n", + "15. 0.28344272446912\n", + "16. 0.349047925321586\n", + "17. 0.374389111586108\n", + "18. 0.232089002981705\n", + "19. 0.34814954972831\n", + "20. 0.191527989677248\n", + "21. 0.142754657597647\n", + "22. 0.23064724790492\n", + "23. 0.378383763058586\n", + "24. 0.250896585587147\n", + "25. 0.301002487272594\n", + "26. 0.172259164561088\n", + "27. 0.205302060180974\n", + "28. 0.182233484211056\n", + "29. 0.193210949378648\n", + "30. 0.211558358969437\n", + "31. 0.190136894002928\n", + "32. 0.193719476419915\n", + "33. 0.167039086575658\n", + "34. 0.210630669266125\n", + "35. 0.217678686197812\n", + "36. 0.196672652250118\n", + "37. 0.327196343852271\n", + "38. 0.196656981351182\n", + "39. 0.320689882028942\n", + "40. 0.283447945912032\n", + "41. 0.265765686440702\n", + "42. 0.162216476963085\n", + "43. 0.278219227800827\n", + "44. 0.229400381485384\n", + "45. 0.252119716559771\n", + "46. 0.268121779925778\n", + "47. 0.425933730848819\n", + "48. 0.159711678434603\n", + "49. 0.18639150331349\n", + "50. 0.243013214076507\n", + "51. 0.14598336701012\n", + "52. 0.215690838268094\n", + "53. 0.248717861839476\n", + "54. 0.207757046814318\n", + "55. 0.340344438038294\n", + "56. 0.167036928979616\n", + "57. 0.19493994442519\n", + "58. 0.203106617638423\n", + "59. 0.234742939548197\n", + "60. 0.184961248207146\n", + "61. 0.335582400411991\n", + "62. 0.174211795476211\n", + "63. 0.192306189108393\n", + "64. 0.0898161903296311\n", + "65. 0.206152344543397\n", + "66. 0.318873787969063\n", + "67. 0.311135318861991\n", + "68. 0.205396097901297\n", + "69. 0.23519585786092\n", + "70. 0.243334840989905\n", + "71. 0.23101323259562\n", + "72. 0.205540728394467\n", + "73. 0.171590352416323\n", + "74. 0.232134915703207\n", + "75. 0.283501890442084\n", + "76. 0.293736865442075\n", + "77. 0.316945045264238\n", + "78. 0.21080021093353\n", + "79. 0.171684120609068\n", + "80. 0.344890190789226\n", + "81. 0.281152004774645\n", + "82. 0.154885981035595\n", + "83. 0.142551894787163\n", + "84. 0.211344254728146\n", + "85. 0.280160560614177\n", + "86. 0.400689624420473\n", + "87. 0.166385927125752\n", + "88. 0.218011565073571\n", + "89. 0.345420971398356\n", + "90. 0.260277135427282\n", + "91. 0.233918170550102\n", + "92. 0.168498261254102\n", + "93. 0.31052611378362\n", + "94. 0.258935902922445\n", + "95. 0.243191792198743\n", + "96. 0.252202271165256\n", + "97. 0.166588349773271\n", + "98. 0.194691800439716\n", + "99. 0.357532313975264\n", + "100. 0.216734050203959\n", + "\n", + "\n", + "\n", + "37. 1. 0.140813776848461\n", + "2. 0.137944781270025\n", + "3. 0.199603546558178\n", + "4. 0.330275890836645\n", + "5. 0.269316472791984\n", + "6. 0.368291801438446\n", + "7. 0.262469270113248\n", + "8. 0.276949869812895\n", + "9. 0.263803082466611\n", + "10. 0.253263622369841\n", + "11. 0.23129674646266\n", + "12. 0.144923227336329\n", + "13. 0.250505845621942\n", + "14. 0.234796699026658\n", + "15. 0.216370237498844\n", + "16. 0.16237411697542\n", + "17. 0.295402037882355\n", + "18. 0.169360944736346\n", + "19. 0.215145443978821\n", + "20. 0.230444441686121\n", + "21. 0.304844591481115\n", + "22. 0.34233501992132\n", + "23. 0.279948136149484\n", + "24. 0.096413583182306\n", + "25. 0.0651065371246746\n", + "26. 0.276063872873268\n", + "27. 0.218852453664898\n", + "28. 0.21616866448363\n", + "29. 0.268829583570398\n", + "30. 0.205375024989144\n", + "31. 0.21860069366909\n", + "32. 0.281301128618585\n", + "33. 0.272745345558431\n", + "34. 0.0953526902942969\n", + "35. 0.397801735816937\n", + "36. 0.220709692399903\n", + "37. 0.161727258557017\n", + "38. 0.366589362497447\n", + "39. 0.332152907273897\n", + "40. 0.122016653999529\n", + "41. 0.261124199278075\n", + "42. 0.20007979343786\n", + "43. 0.319114806709089\n", + "44. 0.212252433564318\n", + "45. 0.390460867896615\n", + "46. 0.242971272747922\n", + "47. 0.219337174136159\n", + "48. 0.271965928757138\n", + "49. 0.228975563617705\n", + "50. 0.199555679317493\n", + "51. 0.250683680713952\n", + "52. 0.274276193518518\n", + "53. 0.164811751347305\n", + "54. 0.127510168369421\n", + "55. 0.120496067816366\n", + "56. 0.149105159065408\n", + "57. 0.244638569314887\n", + "58. 0.32299106764473\n", + "59. 0.067284260971477\n", + "60. 0.287037648197661\n", + "61. 0.255925898520193\n", + "62. 0.20405085219171\n", + "63. 0.185388213567062\n", + "64. 0.205946678687609\n", + "65. 0.291076971442757\n", + "66. 0.153990938937635\n", + "67. 0.131580383700887\n", + "68. 0.346770070334655\n", + "69. 0.317832670537859\n", + "70. 0.266617256791541\n", + "71. 0.428161514372947\n", + "72. 0.294651041534511\n", + "73. 0.293878423872705\n", + "74. 0.331268491616679\n", + "75. 0.271071633122144\n", + "76. 0.299438367796705\n", + "77. 0.243765102857368\n", + "78. 0.35869313059889\n", + "79. 0.348786569026861\n", + "80. 0.236263680184918\n", + "81. 0.419923273655035\n", + "82. 0.267352029009038\n", + "83. 0.141613911498005\n", + "84. 0.200617583683672\n", + "85. 0.301355423898012\n", + "86. 0.30353246659412\n", + "87. 0.155260514938753\n", + "88. 0.207055173501655\n", + "89. 0.204113974030521\n", + "90. 0.275603617461786\n", + "91. 0.187624728841992\n", + "92. 0.248188975900268\n", + "93. 0.290091167647828\n", + "94. 0.244238147165445\n", + "95. 0.392982104804839\n", + "96. 0.217588950541553\n", + "97. 0.285526175305741\n", + "98. 0.161799847774064\n", + "99. 0.283396278564543\n", + "100. 0.308450312018713\n", + "\n", + "\n", + "\n", + "38. 1. 0.311008575966649\n", + "2. 0.217645506514103\n", + "3. 0.202112647474111\n", + "4. 0.140866015407458\n", + "5. 0.266938207868026\n", + "6. 0.254417455662952\n", + "7. 0.279062342247881\n", + "8. 0.230704814390847\n", + "9. 0.205961283463038\n", + "10. 0.271040242863513\n", + "11. 0.229978884556077\n", + "12. 0.371244324730158\n", + "13. 0.185926978166342\n", + "14. 0.231599113481107\n", + "15. 0.295048233737745\n", + "16. 0.144540298540182\n", + "17. 0.120657855210957\n", + "18. 0.288446766233326\n", + "19. 0.23655696830299\n", + "20. 0.244763609931428\n", + "21. 0.15938323887841\n", + "22. 0.257708996847928\n", + "23. 0.155040201703158\n", + "24. 0.14053327815954\n", + "25. 0.158724752173183\n", + "26. 0.199659739579439\n", + "27. 0.192159494375199\n", + "28. 0.229218357295027\n", + "29. 0.250347012141294\n", + "30. 0.183095092025022\n", + "31. 0.264330675493817\n", + "32. 0.221850825090963\n", + "33. 0.265584272814099\n", + "34. 0.316080025810857\n", + "35. 0.248560105506366\n", + "36. 0.181781722625324\n", + "37. 0.174391453279453\n", + "38. 0.293200955738294\n", + "39. 0.216761059210521\n", + "40. 0.25759511293034\n", + "41. 0.304357824273768\n", + "42. 0.374429761015905\n", + "43. 0.310959078995451\n", + "44. 0.23201364561788\n", + "45. 0.209981463371899\n", + "46. 0.235078335682576\n", + "47. 0.294983913486978\n", + "48. 0.084671284315742\n", + "49. 0.204309107259735\n", + "50. 0.168584888772946\n", + "51. 0.346532808656631\n", + "52. 0.365894482731035\n", + "53. 0.199776773436912\n", + "54. 0.22300069258957\n", + "55. 0.349175317114022\n", + "56. 0.305276392100297\n", + "57. 0.335272232314597\n", + "58. 0.175654547489595\n", + "59. 0.256305484993973\n", + "60. 0.272420650498912\n", + "61. 0.240416424666969\n", + "62. 0.243099407792007\n", + "63. 0.191073071971549\n", + "64. 0.253403741105491\n", + "65. 0.222476586312239\n", + "66. 0.313827365127983\n", + "67. 0.195452539286604\n", + "68. 0.287150164235533\n", + "69. 0.24478096682064\n", + "70. 0.344676790825614\n", + "71. 0.214549111813142\n", + "72. 0.289310059459727\n", + "73. 0.125565373502055\n", + "74. 0.215147847002828\n", + "75. 0.189560622579689\n", + "76. 0.300665077606215\n", + "77. 0.193208561452409\n", + "78. 0.284362696693084\n", + "79. 0.125856455592817\n", + "80. 0.326161911827026\n", + "81. 0.305481276727881\n", + "82. 0.236829174497295\n", + "83. 0.158024820815339\n", + "84. 0.340223883565251\n", + "85. 0.331288269007762\n", + "86. 0.185317164028281\n", + "87. 0.179170778329253\n", + "88. 0.219814413518062\n", + "89. 0.336003455852372\n", + "90. 0.329116435567812\n", + "91. 0.232213971457777\n", + "92. 0.23001999894363\n", + "93. 0.261670323055707\n", + "94. 0.198427624929032\n", + "95. 0.258427040364533\n", + "96. 0.262914597253273\n", + "97. 0.348845458138402\n", + "98. 0.214528015717124\n", + "99. 0.276723090112344\n", + "100. 0.233731017963396\n", + "\n", + "\n", + "\n", + "39. 1. 0.2385453191667\n", + "2. 0.202093191521532\n", + "3. 0.262546767927739\n", + "4. 0.1995345783635\n", + "5. 0.0977775173388646\n", + "6. 0.114325856717634\n", + "7. 0.254124334749763\n", + "8. 0.287176705145544\n", + "9. 0.178229258416658\n", + "10. 0.137211134166118\n", + "11. 0.245875428252217\n", + "12. 0.0959247646863539\n", + "13. 0.253264887407673\n", + "14. 0.186606750325755\n", + "15. 0.25568766217352\n", + "16. 0.170588107063527\n", + "17. 0.224127105984375\n", + "18. 0.165757384591006\n", + "19. 0.202722986655426\n", + "20. 0.23508052153993\n", + "21. 0.179645399015665\n", + "22. 0.137493092590014\n", + "23. 0.227994647218827\n", + "24. 0.103609598217723\n", + "25. 0.179784698958358\n", + "26. 0.150637077692671\n", + "27. 0.403632224825738\n", + "28. 0.189358252629815\n", + "29. 0.330323172283412\n", + "30. 0.16488210032707\n", + "31. 0.251190917057793\n", + "32. 0.149463999929198\n", + "33. 0.188760465860275\n", + "34. 0.215671385933708\n", + "35. 0.357722586608695\n", + "36. 0.216931275090209\n", + "37. 0.182509815393608\n", + "38. 0.264339913051202\n", + "39. 0.26255461294042\n", + "40. 0.23024267771583\n", + "41. 0.285306256218781\n", + "42. 0.192124523464717\n", + "43. 0.158366431211656\n", + "44. 0.232914306482953\n", + "45. 0.160401098360056\n", + "46. 0.263621539618096\n", + "47. 0.253698376082973\n", + "48. 0.279859290867678\n", + "49. 0.178188384664331\n", + "50. 0.25400910746887\n", + "51. 0.222634624428998\n", + "52. 0.18157270901626\n", + "53. 0.190177702953686\n", + "54. 0.168712324481067\n", + "55. 0.264437369130702\n", + "56. 0.233561562058238\n", + "57. 0.173374858372761\n", + "58. 0.253869692440294\n", + "59. 0.231716305824815\n", + "60. 0.336513300104347\n", + "61. 0.210132763000999\n", + "62. 0.239731418775915\n", + "63. 0.227140635158753\n", + "64. 0.308535541421015\n", + "65. 0.394664002705277\n", + "66. 0.256974665314661\n", + "67. 0.284234821437851\n", + "68. 0.209929164164259\n", + "69. 0.209193753662169\n", + "70. 0.198754916525338\n", + "71. 0.207878008174107\n", + "72. 0.224119519404672\n", + "73. 0.302438496610853\n", + "74. 0.220924962031544\n", + "75. 0.19336809666108\n", + "76. 0.235041932758079\n", + "77. 0.340981027024466\n", + "78. 0.30921073007218\n", + "79. 0.226988617792463\n", + "80. 0.185426210000153\n", + "81. 0.283841834253402\n", + "82. 0.302890329041087\n", + "83. 0.250903558153994\n", + "84. 0.273902884535001\n", + "85. 0.237674795472205\n", + "86. 0.24295740602621\n", + "87. 0.146456238652111\n", + "88. 0.229975772687566\n", + "89. 0.220578982272738\n", + "90. 0.252405937107481\n", + "91. 0.160242565954686\n", + "92. 0.249112577866533\n", + "93. 0.203160964094285\n", + "94. 0.214276323648048\n", + "95. 0.408762222105706\n", + "96. 0.209159575623285\n", + "97. 0.198772940570974\n", + "98. 0.270538705283039\n", + "99. 0.220697369050313\n", + "100. 0.27894751918197\n", + "\n", + "\n", + "\n", + "40. 1. 0.179158672021293\n", + "2. 0.105394769793462\n", + "3. 0.22742262036136\n", + "4. 0.261182895534711\n", + "5. 0.0824882058280989\n", + "6. 0.100954573172552\n", + "7. 0.18616337988121\n", + "8. 0.320106632895156\n", + "9. 0.243897264935975\n", + "10. 0.133257498118168\n", + "11. 0.185980846667963\n", + "12. 0.303366346552988\n", + "13. 0.26256743598103\n", + "14. 0.163966892760175\n", + "15. 0.400437335569738\n", + "16. 0.261536171455512\n", + "17. 0.315980769995912\n", + "18. 0.169744252081943\n", + "19. 0.174647837629201\n", + "20. 0.241317639423888\n", + "21. 0.228481896504287\n", + "22. 0.150340164914525\n", + "23. 0.274959992164527\n", + "24. 0.343060966271785\n", + "25. 0.0536816847098286\n", + "26. 0.219208183421669\n", + "27. 0.29974218092055\n", + "28. 0.322357881436149\n", + "29. 0.24480422481004\n", + "30. 0.364434002904477\n", + "31. 0.337801409785248\n", + "32. 0.157563528310478\n", + "33. 0.166923832513418\n", + "34. 0.336083605539636\n", + "35. 0.163676388944282\n", + "36. 0.200491141649783\n", + "37. 0.176433347557004\n", + "38. 0.281104666098462\n", + "39. 0.202413795439053\n", + "40. 0.246228252424349\n", + "41. 0.301273750706795\n", + "42. 0.170276065661386\n", + "43. 0.181289726579438\n", + "44. 0.196348022597053\n", + "45. 0.218180734476602\n", + "46. 0.351236123059891\n", + "47. 0.186062183790858\n", + "48. 0.246015503375582\n", + "49. 0.238228981857919\n", + "50. 0.297403445765687\n", + "51. 0.27561168236352\n", + "52. 0.267223406055345\n", + "53. 0.171122706763428\n", + "54. 0.18656299199092\n", + "55. 0.243929917907615\n", + "56. 0.268030032588842\n", + "57. 0.217387810488953\n", + "58. 0.217241878492059\n", + "59. 0.244694668047812\n", + "60. 0.216153234486695\n", + "61. 0.283628037319353\n", + "62. 0.35149746208316\n", + "63. 0.281173177946456\n", + "64. 0.209700329640449\n", + "65. 0.318263164720852\n", + "66. 0.210318367149302\n", + "67. 0.0829156477938532\n", + "68. 0.39055148367239\n", + "69. 0.267533216730524\n", + "70. 0.251883886478574\n", + "71. 0.111735183112349\n", + "72. 0.126054337146236\n", + "73. 0.206420907691459\n", + "74. 0.240580181417258\n", + "75. 0.307546545453387\n", + "76. 0.347091929906892\n", + "77. 0.295838438198075\n", + "78. 0.137161050317672\n", + "79. 0.381564278866814\n", + "80. 0.321026929038132\n", + "81. 0.273921285584352\n", + "82. 0.275349992558544\n", + "83. 0.231970293740341\n", + "84. 0.187304351908737\n", + "85. 0.312638401950986\n", + "86. 0.213699987407848\n", + "87. 0.249143321618662\n", + "88. 0.190527829206173\n", + "89. 0.234945359492571\n", + "90. 0.22218100826977\n", + "91. 0.16907424071206\n", + "92. 0.17383008685175\n", + "93. 0.234072395931816\n", + "94. 0.202265261867902\n", + "95. 0.197465165328294\n", + "96. 0.400168416671375\n", + "97. 0.183926800683237\n", + "98. 0.297505932683974\n", + "99. 0.253365457219181\n", + "100. 0.22384080465481\n", + "\n", + "\n", + "\n", + "41. 1. 0.401120930894958\n", + "2. 0.40111512053299\n", + "3. 0.281975303563733\n", + "4. 0.220349461223718\n", + "5. 0.289107234063922\n", + "6. 0.132170722462428\n", + "7. 0.186091332051759\n", + "8. 0.24491441805562\n", + "9. 0.279400401045545\n", + "10. 0.284803054352908\n", + "11. 0.280152407618687\n", + "12. 0.303308531429833\n", + "13. 0.34040431932058\n", + "14. 0.395541981046328\n", + "15. 0.279655408967777\n", + "16. 0.4023489452566\n", + "17. 0.181807158374955\n", + "18. 0.193083245956611\n", + "19. 0.303686129159431\n", + "20. 0.0816567433261371\n", + "21. 0.311347706231943\n", + "22. 0.39044430794367\n", + "23. 0.275857183390108\n", + "24. 0.273431089513822\n", + "25. 0.182974536672087\n", + "26. 0.230079736946818\n", + "27. 0.271711256082778\n", + "28. 0.357092878691293\n", + "29. 0.316772681699264\n", + "30. 0.316349919763429\n", + "31. 0.335383215387824\n", + "32. 0.372890000585398\n", + "33. 0.376520308230531\n", + "34. 0.264298438188871\n", + "35. 0.266734284063917\n", + "36. 0.330413302440849\n", + "37. 0.130400866706214\n", + "38. 0.166257150224844\n", + "39. 0.185088321071317\n", + "40. 0.217994144318983\n", + "41. 0.180996511801051\n", + "42. 0.231185362869705\n", + "43. 0.278598743722371\n", + "44. 0.126572536809709\n", + "45. 0.332086300825775\n", + "46. 0.114451565438249\n", + "47. 0.386848910858713\n", + "48. 0.31473833189092\n", + "49. 0.166227044007918\n", + "50. 0.313933638578552\n", + "51. 0.248078980872768\n", + "52. 0.284455876348828\n", + "53. 0.330499333988433\n", + "54. 0.0286523888111571\n", + "55. 0.27888340960359\n", + "56. 0.294120617662859\n", + "57. 0.320239571884356\n", + "58. 0.352389660444761\n", + "59. 0.303991432549199\n", + "60. 0.176058720167168\n", + "61. 0.440813976532845\n", + "62. 0.35028434919277\n", + "63. 0.22519863173499\n", + "64. 0.296710881484984\n", + "65. 0.352837386444202\n", + "66. 0.251341719840946\n", + "67. 0.297284327065452\n", + "68. 0.306476152235707\n", + "69. 0.233883509874071\n", + "70. 0.173015705859163\n", + "71. 0.35530788716164\n", + "72. 0.23563060860402\n", + "73. 0.256727634911268\n", + "74. 0.242049819276427\n", + "75. 0.241705844577765\n", + "76. 0.330716557846787\n", + "77. 0.357215364637907\n", + "78. 0.282724106470164\n", + "79. 0.338732515647992\n", + "80. 0.23578856364192\n", + "81. 0.28971173370048\n", + "82. 0.254958110620428\n", + "83. 0.344678125767622\n", + "84. 0.240826547475128\n", + "85. 0.234234514229156\n", + "86. 0.30852509339749\n", + "87. 0.349429834481622\n", + "88. 0.405871009464019\n", + "89. 0.374135638900934\n", + "90. 0.306115358764954\n", + "91. 0.36488158322791\n", + "92. 0.200241625601968\n", + "93. 0.28001130913149\n", + "94. 0.371714193504705\n", + "95. 0.410313016117929\n", + "96. 0.377780632578646\n", + "97. 0.407730895043593\n", + "98. 0.359358373476801\n", + "99. 0.295164343793737\n", + "100. 0.278374991896488\n", + "\n", + "\n", + "\n", + "42. 1. 0.18147392786736\n", + "2. 0.277537791757597\n", + "3. 0.360480684586625\n", + "4. 0.171132302425173\n", + "5. 0.183738233751784\n", + "6. 0.337016966612661\n", + "7. 0.310740486738561\n", + "8. 0.197060416201052\n", + "9. 0.232618348275058\n", + "10. 0.112934343292433\n", + "11. 0.148713831570716\n", + "12. 0.257152302137034\n", + "13. 0.321148896212196\n", + "14. 0.328796789859437\n", + "15. 0.29310082394885\n", + "16. 0.257537023005138\n", + "17. 0.335422644867442\n", + "18. 0.250884404616572\n", + "19. 0.245492694599257\n", + "20. 0.248708729259934\n", + "21. 0.289247262525256\n", + "22. 0.191044500964487\n", + "23. 0.180623256391186\n", + "24. 0.118625213851645\n", + "25. 0.174226333451625\n", + "26. 0.239703867970529\n", + "27. 0.345096698849098\n", + "28. 0.293179274586354\n", + "29. 0.238881198800736\n", + "30. 0.225139839333459\n", + "31. 0.398200525088889\n", + "32. 0.202848915418431\n", + "33. 0.422235245317027\n", + "34. 0.149798712854836\n", + "35. 0.290051692155562\n", + "36. 0.220283723324443\n", + "37. 0.297373947909912\n", + "38. 0.20361491255381\n", + "39. 0.244725647728186\n", + "40. 0.258198630852153\n", + "41. 0.30104361883661\n", + "42. 0.163730768512664\n", + "43. 0.222167471412059\n", + "44. 0.151737167145653\n", + "45. 0.378927345903166\n", + "46. 0.215735611115854\n", + "47. 0.264523195567786\n", + "48. 0.126603010091908\n", + "49. 0.33727363457356\n", + "50. 0.307071110056837\n", + "51. 0.448544239870451\n", + "52. 0.358414927823317\n", + "53. 0.36097100516559\n", + "54. 0.258180910013783\n", + "55. 0.324640362598789\n", + "56. 0.252968174009496\n", + "57. 0.252265463172309\n", + "58. 0.15664929822685\n", + "59. 0.23862968070422\n", + "60. 0.324655318128215\n", + "61. 0.343300994162315\n", + "62. 0.329318968482207\n", + "63. 0.241467402022637\n", + "64. 0.363978319099666\n", + "65. 0.299352431805034\n", + "66. 0.218123452630318\n", + "67. 0.268523988244223\n", + "68. 0.241445627919609\n", + "69. 0.333620842326928\n", + "70. 0.150222561249096\n", + "71. 0.539235656974547\n", + "72. 0.226930417472214\n", + "73. 0.418277349423272\n", + "74. 0.199523728645546\n", + "75. 0.295182915127737\n", + "76. 0.273254177083082\n", + "77. 0.238432519617089\n", + "78. 0.140410448933536\n", + "79. 0.214924948788977\n", + "80. 0.284259384314758\n", + "81. 0.243748165375923\n", + "82. 0.31464076168017\n", + "83. 0.329888788444042\n", + "84. 0.40940892720139\n", + "85. 0.301574865714576\n", + "86. 0.312462217287734\n", + "87. 0.244664448367074\n", + "88. 0.227778374585546\n", + "89. 0.313386987611045\n", + "90. 0.218467951237428\n", + "91. 0.250581349222384\n", + "92. 0.383610909942993\n", + "93. 0.270265269564841\n", + "94. 0.175154280443385\n", + "95. 0.255246640540066\n", + "96. 0.246634563907027\n", + "97. 0.131726050376561\n", + "98. 0.295174717123713\n", + "99. 0.141136822510348\n", + "100. 0.282707216476048\n", + "\n", + "\n", + "\n", + "43. 1. 0.177079003573472\n", + "2. 0.220831582537415\n", + "3. 0.249791143952794\n", + "4. 0.223558181074009\n", + "5. 0.190091611830772\n", + "6. 0.302650535550518\n", + "7. 0.302675564382953\n", + "8. 0.228347497805457\n", + "9. 0.375414120257285\n", + "10. 0.328772530933649\n", + "11. 0.241755580625925\n", + "12. 0.310611750211325\n", + "13. 0.256162782742588\n", + "14. 0.170826942156228\n", + "15. 0.207217666328242\n", + "16. 0.16737258103586\n", + "17. 0.155326376467793\n", + "18. 0.387865747655276\n", + "19. 0.286394467866669\n", + "20. 0.259538683152444\n", + "21. 0.291934923155648\n", + "22. 0.140512220557694\n", + "23. 0.281629694911686\n", + "24. 0.339680114449094\n", + "25. 0.197849163338621\n", + "26. 0.16558594531922\n", + "27. 0.23464677910897\n", + "28. 0.215984786138335\n", + "29. 0.221830814489193\n", + "30. 0.35661073075368\n", + "31. 0.151325638411748\n", + "32. 0.239731434281675\n", + "33. 0.0735885276554991\n", + "34. 0.201339952201987\n", + "35. 0.305192675727185\n", + "36. 0.251705724920699\n", + "37. 0.224474165534597\n", + "38. 0.268254394307272\n", + "39. 0.208377495791679\n", + "40. 0.207887465556311\n", + "41. 0.18049033660796\n", + "42. 0.193607800731716\n", + "43. 0.215419597767931\n", + "44. 0.272040933100473\n", + "45. 0.311434249504711\n", + "46. 0.394601485142404\n", + "47. 0.229554795802286\n", + "48. 0.133896809470332\n", + "49. 0.197015932888629\n", + "50. 0.233772198272242\n", + "51. 0.180869076189278\n", + "52. 0.230099229381949\n", + "53. 0.151203974966939\n", + "54. 0.234562285739313\n", + "55. 0.196653380523785\n", + "56. 0.268119117332308\n", + "57. 0.228395088411291\n", + "58. 0.205032061298271\n", + "59. 0.318606475649448\n", + "60. 0.421815895411943\n", + "61. 0.204814447211915\n", + "62. 0.208780162714083\n", + "63. 0.279629425765968\n", + "64. 0.291485523610593\n", + "65. 0.323467310709452\n", + "66. 0.258110075235881\n", + "67. 0.108880536838785\n", + "68. 0.193935275814014\n", + "69. 0.159805259073731\n", + "70. 0.249199284861017\n", + "71. 0.269437944887367\n", + "72. 0.170632169333711\n", + "73. 0.250419846035889\n", + "74. 0.342071498502384\n", + "75. 0.27264893502042\n", + "76. 0.238515006065672\n", + "77. 0.188319002390352\n", + "78. 0.258892384033666\n", + "79. 0.268926675616126\n", + "80. 0.360387159645227\n", + "81. 0.295036958543343\n", + "82. 0.101440564693493\n", + "83. 0.275515428903929\n", + "84. 0.262329630049761\n", + "85. 0.143818891274623\n", + "86. 0.187787196215461\n", + "87. 0.251678689372377\n", + "88. 0.324821376379573\n", + "89. 0.360387489781667\n", + "90. 0.32341093903763\n", + "91. 0.295784646922587\n", + "92. 0.259020477948085\n", + "93. 0.355382362176316\n", + "94. 0.325342389729944\n", + "95. 0.279353179855249\n", + "96. 0.238514521733738\n", + "97. 0.25434596376604\n", + "98. 0.323492602339304\n", + "99. 0.149479448539588\n", + "100. 0.261893285838531\n", + "\n", + "\n", + "\n", + "44. 1. 0.291522344878641\n", + "2. 0.19081430412649\n", + "3. 0.344858125306801\n", + "4. 0.177846655172568\n", + "5. 0.237772705485972\n", + "6. 0.0998962093525443\n", + "7. 0.356546483784182\n", + "8. 0.373824494157239\n", + "9. 0.257448252788466\n", + "10. 0.123674035387143\n", + "11. 0.176610669715388\n", + "12. 0.261689173338827\n", + "13. 0.334605967015794\n", + "14. 0.347493652419625\n", + "15. 0.206252518006683\n", + "16. 0.2886152938242\n", + "17. 0.101235275614954\n", + "18. 0.357690732724824\n", + "19. 0.368043602120142\n", + "20. 0.253081944824626\n", + "21. 0.199745509597876\n", + "22. 0.150786526850242\n", + "23. 0.41113633178724\n", + "24. 0.368974898231845\n", + "25. 0.269700696779831\n", + "26. 0.273839484543008\n", + "27. 0.250605648762415\n", + "28. 0.143974500305409\n", + "29. 0.250425660302221\n", + "30. 0.160489197425728\n", + "31. 0.178495842674647\n", + "32. 0.210403844576582\n", + "33. 0.169980825642367\n", + "34. 0.0916895406305695\n", + "35. 0.245784934835596\n", + "36. 0.30282590551776\n", + "37. 0.229017957396443\n", + "38. 0.1234713432814\n", + "39. 0.24616422872469\n", + "40. 0.222570774811124\n", + "41. 0.282877737216151\n", + "42. 0.198778643324696\n", + "43. 0.335095072852949\n", + "44. 0.350986363788849\n", + "45. 0.139936796232379\n", + "46. 0.348103365676472\n", + "47. 0.261335009401266\n", + "48. 0.342027437446292\n", + "49. 0.201632464514096\n", + "50. 0.158626632672936\n", + "51. 0.307033927298755\n", + "52. 0.342995078242787\n", + "53. 0.184284912242019\n", + "54. 0.190650103084548\n", + "55. 0.269621344972056\n", + "56. 0.119654133048252\n", + "57. 0.101856688980703\n", + "58. 0.162288343366922\n", + "59. 0.268289951960521\n", + "60. 0.221873449272787\n", + "61. 0.309936432291684\n", + "62. 0.249888333855543\n", + "63. 0.213073307430671\n", + "64. 0.423489525670799\n", + "65. 0.320452626451649\n", + "66. 0.229569028711655\n", + "67. 0.379043940673209\n", + "68. 0.20498010283988\n", + "69. 0.140116949905147\n", + "70. 0.31696643996886\n", + "71. 0.274665279163824\n", + "72. 0.247720180460961\n", + "73. 0.249340951840986\n", + "74. 0.22278319823622\n", + "75. 0.381373022231723\n", + "76. 0.146077537103709\n", + "77. 0.304119300209776\n", + "78. 0.230585769099761\n", + "79. 0.267835746023292\n", + "80. 0.357328382052257\n", + "81. 0.312191236688561\n", + "82. 0.356471117654776\n", + "83. 0.272859374914895\n", + "84. 0.212409784759838\n", + "85. 0.234861272233448\n", + "86. 0.193755713953832\n", + "87. 0.257887463418127\n", + "88. 0.192661606761402\n", + "89. 0.341000570161527\n", + "90. 0.169419076220259\n", + "91. 0.192547686675628\n", + "92. 0.214909060128543\n", + "93. 0.30407427465747\n", + "94. 0.376034129859693\n", + "95. 0.21169879646538\n", + "96. 0.332907478146355\n", + "97. 0.311787149279429\n", + "98. 0.302126631948848\n", + "99. 0.215380926102711\n", + "100. 0.250987072073975\n", + "\n", + "\n", + "\n", + "45. 1. 0.229775434572017\n", + "2. 0.361481765514345\n", + "3. 0.223846145778094\n", + "4. 0.201255346557335\n", + "5. 0.196935775468876\n", + "6. 0.220649326148062\n", + "7. 0.2915602810559\n", + "8. 0.280375052120088\n", + "9. 0.222744282957928\n", + "10. 0.131270682733533\n", + "11. 0.256235650662762\n", + "12. 0.28808667933104\n", + "13. 0.209746724266664\n", + "14. 0.406031312768316\n", + "15. 0.253674640887352\n", + "16. 0.285706990508338\n", + "17. 0.449650170165405\n", + "18. 0.248742537549483\n", + "19. 0.327418754219947\n", + "20. 0.201523633206851\n", + "21. 0.336342786904585\n", + "22. 0.253250880092046\n", + "23. 0.333146131745642\n", + "24. 0.174439085032495\n", + "25. 0.396677474011663\n", + "26. 0.327102736230488\n", + "27. 0.293201947635716\n", + "28. 0.184951805549417\n", + "29. 0.171185047975809\n", + "30. 0.207114719760344\n", + "31. 0.26378779404651\n", + "32. 0.278942758435002\n", + "33. 0.357755648152073\n", + "34. 0.23517515052311\n", + "35. 0.170286792735994\n", + "36. 0.266319001173257\n", + "37. 0.270768113182049\n", + "38. 0.420914151303632\n", + "39. 0.311114896291636\n", + "40. 0.145512260063283\n", + "41. 0.486605280461547\n", + "42. 0.297772674278497\n", + "43. 0.277331340473209\n", + "44. 0.306569099472909\n", + "45. 0.189460677801719\n", + "46. 0.238323887325686\n", + "47. 0.298803119349025\n", + "48. 0.263906183531244\n", + "49. 0.364203108675596\n", + "50. 0.141085454880091\n", + "51. 0.368242344330556\n", + "52. 0.512605329145767\n", + "53. 0.187102364563525\n", + "54. 0.373575519603712\n", + "55. 0.25682107894525\n", + "56. 0.362545984542043\n", + "57. 0.389441076190448\n", + "58. 0.178399562067678\n", + "59. 0.314578070439033\n", + "60. 0.246019740725964\n", + "61. 0.24228249584337\n", + "62. 0.133302657159506\n", + "63. 0.336377536541034\n", + "64. 0.212484508303257\n", + "65. 0.23334548162485\n", + "66. 0.259131768393401\n", + "67. 0.232450110307264\n", + "68. 0.204860641253739\n", + "69. 0.43349877772054\n", + "70. 0.223194080233921\n", + "71. 0.218398148664085\n", + "72. 0.177969777990582\n", + "73. 0.221833403542125\n", + "74. 0.388183620538365\n", + "75. 0.356976446955313\n", + "76. 0.0823582630044301\n", + "77. 0.289571590470886\n", + "78. 0.329989448136537\n", + "79. 0.267734196247062\n", + "80. 0.14429690525999\n", + "81. 0.267820278504032\n", + "82. 0.284019502522024\n", + "83. 0.192742144952953\n", + "84. 0.334350340655662\n", + "85. 0.384189867690149\n", + "86. 0.250934663159098\n", + "87. 0.301941692844368\n", + "88. 0.463532595869164\n", + "89. 0.274864563485228\n", + "90. 0.123004215339222\n", + "91. 0.401530723121804\n", + "92. 0.227294889883775\n", + "93. 0.227396013792144\n", + "94. 0.226793190967033\n", + "95. 0.282186904123756\n", + "96. 0.34430715325527\n", + "97. 0.170251124950075\n", + "98. 0.184569219786148\n", + "99. 0.284110556781286\n", + "100. 0.342486303876412\n", + "\n", + "\n", + "\n", + "46. 1. 0.124613535301034\n", + "2. 0.216358931131565\n", + "3. 0.25428026717726\n", + "4. 0.170738109686812\n", + "5. 0.309782079742541\n", + "6. 0.303672186385469\n", + "7. 0.162794967083108\n", + "8. 0.215051196443008\n", + "9. 0.213814750579627\n", + "10. 0.28115334407317\n", + "11. 0.0947901874920895\n", + "12. 0.168319845570565\n", + "13. 0.223781208403931\n", + "14. 0.212679365282867\n", + "15. 0.102927889956587\n", + "16. 0.0992116384990963\n", + "17. 0.306895440783118\n", + "18. 0.23846003867011\n", + "19. 0.30848801984845\n", + "20. 0.260830886043809\n", + "21. 0.283934553970088\n", + "22. 0.270552534947696\n", + "23. 0.262253570805536\n", + "24. 0.220830309616752\n", + "25. 0.368000782940223\n", + "26. 0.170513078394312\n", + "27. 0.358230393644017\n", + "28. 0.135260815428478\n", + "29. 0.266434632323605\n", + "30. 0.252641441753561\n", + "31. 0.336403715770415\n", + "32. 0.213022703716752\n", + "33. 0.119925337826289\n", + "34. 0.237530249250553\n", + "35. 0.245529956867146\n", + "36. 0.35376383846677\n", + "37. 0.305159601700412\n", + "38. 0.22682765057142\n", + "39. 0.175220675482495\n", + "40. 0.10868471600859\n", + "41. 0.263028431745754\n", + "42. 0.351067134509221\n", + "43. 0.245843825741522\n", + "44. 0.342880535381192\n", + "45. 0.274060050198977\n", + "46. 0.162003802973969\n", + "47. 0.328424583956021\n", + "48. 0.191942177458055\n", + "49. 0.261987930845214\n", + "50. 0.149455943173017\n", + "51. 0.329311601679143\n", + "52. 0.174662843930787\n", + "53. 0.221259502012122\n", + "54. 0.175101395920227\n", + "55. 0.18840655356465\n", + "56. 0.241750595396771\n", + "57. 0.161165926674001\n", + "58. 0.313893353255397\n", + "59. 0.273248797687073\n", + "60. 0.227038153086951\n", + "61. 0.377852052553345\n", + "62. 0.165173414521537\n", + "63. 0.280523189962705\n", + "64. 0.318976887940898\n", + "65. 0.171863228147354\n", + "66. 0.254281775484912\n", + "67. 0.379639083355705\n", + "68. 0.247846514134078\n", + "69. 0.235752918519952\n", + "70. 0.378146337855956\n", + "71. 0.222140450447865\n", + "72. 0.290276916045147\n", + "73. 0.237528655570179\n", + "74. 0.124801627072528\n", + "75. 0.27630675364415\n", + "76. 0.182584766420062\n", + "77. 0.217347382021336\n", + "78. 0.251515030965466\n", + "79. 0.195058228845568\n", + "80. 0.355281189330171\n", + "81. 0.335477851203327\n", + "82. 0.230467147389174\n", + "83. 0.367636489892\n", + "84. 0.262910347032135\n", + "85. 0.265165933305843\n", + "86. 0.370855895547144\n", + "87. 0.319470569044547\n", + "88. 0.276665837940095\n", + "89. 0.303819824947051\n", + "90. 0.235272722024338\n", + "91. 0.417189400202027\n", + "92. 0.274395802203762\n", + "93. 0.291257120125178\n", + "94. 0.223068154522617\n", + "95. 0.152808320495521\n", + "96. 0.278252648432656\n", + "97. 0.207974882791103\n", + "98. 0.14541695994918\n", + "99. 0.168190169781754\n", + "100. 0.164254055078581\n", + "\n", + "\n", + "\n", + "47. 1. 0.202833074485451\n", + "2. 0.333248975311804\n", + "3. 0.172892723132305\n", + "4. 0.275634139649902\n", + "5. 0.211937703837638\n", + "6. 0.211256159892082\n", + "7. 0.274615883897793\n", + "8. 0.21288266102663\n", + "9. 0.141652335081892\n", + "10. 0.217117127453156\n", + "11. 0.303688161931177\n", + "12. 0.159438125231746\n", + "13. 0.190192453864982\n", + "14. 0.27458353353572\n", + "15. 0.25834669008635\n", + "16. 0.237471528150282\n", + "17. 0.233488806664184\n", + "18. 0.244437950459463\n", + "19. 0.247642562401993\n", + "20. 0.204405810438933\n", + "21. 0.387418920929071\n", + "22. 0.294295407452317\n", + "23. 0.375597148270042\n", + "24. 0.172113900061115\n", + "25. 0.251264354108665\n", + "26. 0.278602124317868\n", + "27. 0.203425349174999\n", + "28. 0.154280103403446\n", + "29. 0.258167123288345\n", + "30. 0.20350895790963\n", + "31. 0.265004954578649\n", + "32. 0.236744270491585\n", + "33. 0.30676405950192\n", + "34. 0.156681543502932\n", + "35. 0.196143285709197\n", + "36. 0.278843402733888\n", + "37. 0.248192969277553\n", + "38. 0.255509018971874\n", + "39. 0.145346898165955\n", + "40. 0.422772649839643\n", + "41. 0.247416159473859\n", + "42. 0.289353512670817\n", + "43. 0.271939222554911\n", + "44. 0.108708163230378\n", + "45. 0.316844398153389\n", + "46. 0.146699838820825\n", + "47. 0.275333867733502\n", + "48. 0.28932579711365\n", + "49. 0.29806630296363\n", + "50. 0.288018120092514\n", + "51. 0.160621188538986\n", + "52. 0.226433645061881\n", + "53. 0.12025310939729\n", + "54. 0.222451991522628\n", + "55. 0.328129725015544\n", + "56. 0.11429905825154\n", + "57. 0.316266578066947\n", + "58. 0.296780589530386\n", + "59. 0.253508426832677\n", + "60. 0.416700899888421\n", + "61. 0.244862950911815\n", + "62. 0.232472458416392\n", + "63. 0.309504906304929\n", + "64. 0.268877032486796\n", + "65. 0.318391822474013\n", + "66. 0.1796863217097\n", + "67. 0.141162333682065\n", + "68. 0.275155065863101\n", + "69. 0.166344803725054\n", + "70. 0.245928128417004\n", + "71. 0.219721759019153\n", + "72. 0.179115659448871\n", + "73. 0.101412545795651\n", + "74. 0.204490710983167\n", + "75. 0.185936049056286\n", + "76. 0.229222294051892\n", + "77. 0.339512412331664\n", + "78. 0.189501587139564\n", + "79. 0.201531980783677\n", + "80. 0.136022402795776\n", + "81. 0.149433569225739\n", + "82. 0.416405775832458\n", + "83. 0.104030746078192\n", + "84. 0.284950173784436\n", + "85. 0.301384144034417\n", + "86. 0.156271597065225\n", + "87. 0.246063494782256\n", + "88. 0.228699644742939\n", + "89. 0.215393916911341\n", + "90. 0.14449394878738\n", + "91. 0.218097676809671\n", + "92. 0.238920356563844\n", + "93. 0.299656544025223\n", + "94. 0.263017961848741\n", + "95. 0.0944285928906044\n", + "96. 0.220689777903615\n", + "97. 0.149400946643074\n", + "98. 0.175050042520813\n", + "99. 0.325741059464161\n", + "100. 0.271712240513701\n", + "\n", + "\n", + "\n", + "48. 1. 0.275938107189322\n", + "2. 0.225555073264919\n", + "3. 0.293429389586289\n", + "4. 0.255842735729067\n", + "5. 0.290004927637627\n", + "6. 0.259087576846355\n", + "7. 0.405302153629692\n", + "8. 0.409160070076576\n", + "9. 0.195253901379574\n", + "10. 0.227276855507877\n", + "11. 0.219870765542252\n", + "12. 0.341567294418344\n", + "13. 0.17874049004643\n", + "14. 0.342093415005517\n", + "15. 0.196300532561108\n", + "16. 0.257641266552123\n", + "17. 0.219819190727828\n", + "18. 0.395830208790669\n", + "19. 0.183750006455367\n", + "20. 0.190145240293152\n", + "21. 0.309894154922664\n", + "22. 0.23018617879447\n", + "23. 0.232449148931828\n", + "24. 0.282123565675154\n", + "25. 0.216615092802209\n", + "26. 0.150419734450832\n", + "27. 0.217349850008853\n", + "28. 0.353471075952047\n", + "29. 0.297326179340123\n", + "30. 0.162491833224109\n", + "31. 0.243235389766438\n", + "32. 0.122373092672292\n", + "33. 0.371045992140005\n", + "34. 0.307147570952846\n", + "35. 0.234132280497362\n", + "36. 0.227034106539811\n", + "37. 0.203115464406202\n", + "38. 0.179151211814196\n", + "39. 0.323490250927894\n", + "40. 0.24730975335138\n", + "41. 0.215220171160422\n", + "42. 0.248070133724099\n", + "43. 0.240786452918612\n", + "44. 0.255249574907338\n", + "45. 0.315078511288599\n", + "46. 0.122878684669766\n", + "47. 0.203906486944094\n", + "48. 0.172834924598401\n", + "49. 0.200827724874881\n", + "50. 0.171851144429823\n", + "51. 0.355749281729985\n", + "52. 0.223489968198166\n", + "53. 0.192910629057141\n", + "54. 0.382395701310544\n", + "55. 0.322047943199382\n", + "56. 0.249745243455206\n", + "57. 0.322144509466031\n", + "58. 0.178155080042733\n", + "59. 0.258235687426575\n", + "60. 0.190652236443327\n", + "61. 0.114688554167419\n", + "62. 0.306804308202621\n", + "63. 0.270683638290994\n", + "64. 0.199443167278276\n", + "65. 0.185183749605199\n", + "66. 0.162291400400019\n", + "67. 0.347894694152303\n", + "68. 0.375554922084942\n", + "69. 0.218832836940108\n", + "70. 0.105545695147838\n", + "71. 0.475339733793853\n", + "72. 0.179370740702789\n", + "73. 0.263119190113707\n", + "74. 0.224695056305788\n", + "75. 0.263258667235669\n", + "76. 0.212422599838768\n", + "77. 0.291016009875545\n", + "78. 0.320341007134207\n", + "79. 0.303182682210423\n", + "80. 0.193973382028535\n", + "81. 0.208043473259\n", + "82. 0.190918724223042\n", + "83. 0.35351458318065\n", + "84. 0.168756609979126\n", + "85. 0.146297173213221\n", + "86. 0.290048638931274\n", + "87. 0.247418016288166\n", + "88. 0.394470696254499\n", + "89. 0.330351483626851\n", + "90. 0.193767400000173\n", + "91. 0.186440614474148\n", + "92. 0.206776257873879\n", + "93. 0.20098526053199\n", + "94. 0.170197087832046\n", + "95. 0.181639616971991\n", + "96. 0.249272752555376\n", + "97. 0.291781907043545\n", + "98. 0.18823656152787\n", + "99. 0.0767854142874085\n", + "100. 0.235036401627567\n", + "\n", + "\n", + "\n", + "49. 1. 0.1961298650715\n", + "2. 0.240094879617299\n", + "3. 0.202807232679814\n", + "4. 0.183844689594941\n", + "5. 0.134442608392287\n", + "6. 0.301617810755324\n", + "7. 0.279396988962999\n", + "8. 0.213895602746982\n", + "9. 0.192566275707342\n", + "10. 0.182176664507136\n", + "11. 0.283646296642257\n", + "12. 0.152823739523163\n", + "13. 0.316508393925907\n", + "14. 0.227730905551271\n", + "15. 0.244229005517108\n", + "16. 0.102231871907223\n", + "17. 0.258637207556758\n", + "18. 0.224270029573941\n", + "19. 0.292116590532502\n", + "20. 0.353437010654482\n", + "21. 0.307803715237503\n", + "22. 0.217554781004835\n", + "23. 0.205721480932573\n", + "24. 0.198951098078049\n", + "25. 0.303545748687044\n", + "26. 0.198485855772333\n", + "27. 0.104277515255608\n", + "28. 0.211624161995421\n", + "29. 0.242123792863678\n", + "30. 0.213805921825549\n", + "31. 0.309494336442496\n", + "32. 0.311700215221333\n", + "33. 0.258487753017037\n", + "34. 0.229917022511868\n", + "35. 0.256953627615351\n", + "36. 0.242669127993739\n", + "37. 0.292945895281298\n", + "38. 0.112497899712693\n", + "39. 0.274783684345599\n", + "40. 0.203290476895569\n", + "41. 0.35848632799526\n", + "42. 0.295779872860561\n", + "43. 0.10100577373127\n", + "44. 0.264160734166875\n", + "45. 0.179309001859987\n", + "46. 0.246032505683562\n", + "47. 0.173738452305055\n", + "48. 0.225535441705455\n", + "49. 0.281059737511049\n", + "50. 0.225872948473714\n", + "51. 0.153488897251008\n", + "52. 0.179502367067736\n", + "53. 0.15644064764209\n", + "54. 0.277409188333166\n", + "55. 0.303455102334102\n", + "56. 0.221995574806343\n", + "57. 0.197026260559248\n", + "58. 0.382569725565254\n", + "59. 0.262127035468051\n", + "60. 0.314554634014866\n", + "61. 0.155324267002014\n", + "62. 0.194515452610571\n", + "63. 0.310704488883197\n", + "64. 0.161927603602451\n", + "65. 0.150843322833709\n", + "66. 0.147972441299755\n", + "67. 0.223253757981224\n", + "68. 0.172411435024257\n", + "69. 0.17260282054578\n", + "70. 0.18712088242821\n", + "71. 0.208229179792985\n", + "72. 0.10761866462364\n", + "73. 0.257880896316459\n", + "74. 0.340790508307784\n", + "75. 0.227908116933928\n", + "76. 0.214973701541422\n", + "77. 0.250889885856847\n", + "78. 0.0867985835011673\n", + "79. 0.323095624984446\n", + "80. 0.10759718204953\n", + "81. 0.307925243094131\n", + "82. 0.216580796765875\n", + "83. 0.140422642353007\n", + "84. 0.161605776358229\n", + "85. 0.248411169026855\n", + "86. 0.138748903166355\n", + "87. 0.169889338580893\n", + "88. 0.189157942488824\n", + "89. 0.193648555885255\n", + "90. 0.23050451712426\n", + "91. 0.194349635690898\n", + "92. 0.215587156493712\n", + "93. 0.200158295481142\n", + "94. 0.194097486720389\n", + "95. 0.14383866856443\n", + "96. 0.130326043403181\n", + "97. 0.293843166598442\n", + "98. 0.118976021849531\n", + "99. 0.227476502252967\n", + "100. 0.234716455858685\n", + "\n", + "\n", + "\n", + "50. 1. 0.281771601755142\n", + "2. 0.326611059472695\n", + "3. 0.294263861845795\n", + "4. 0.272464329804017\n", + "5. 0.288758872422233\n", + "6. 0.25390529649458\n", + "7. 0.353773519981496\n", + "8. 0.331940228749679\n", + "9. 0.490826597849803\n", + "10. 0.315638763166034\n", + "11. 0.17698028843623\n", + "12. 0.25833552464125\n", + "13. 0.524389160140072\n", + "14. 0.190855806871292\n", + "15. 0.373457899390081\n", + "16. 0.253722571909635\n", + "17. 0.285901652774749\n", + "18. 0.286907481934757\n", + "19. 0.242395472581306\n", + "20. 0.225271765706931\n", + "21. 0.321170547868082\n", + "22. 0.339200672616648\n", + "23. 0.252544464075792\n", + "24. 0.260386692856808\n", + "25. 0.237417616789137\n", + "26. 0.202121617717613\n", + "27. 0.305935410522029\n", + "28. 0.333998890576926\n", + "29. 0.393245240053726\n", + "30. 0.271832497173036\n", + "31. 0.16684953017815\n", + "32. 0.308475899291963\n", + "33. 0.307390700385285\n", + "34. 0.180593741633139\n", + "35. 0.205712476250078\n", + "36. 0.286641613215578\n", + "37. 0.20184805869917\n", + "38. 0.237223991616039\n", + "39. 0.330607501193695\n", + "40. 0.249615613983241\n", + "41. 0.209127563329569\n", + "42. 0.284698677822263\n", + "43. 0.28775599075779\n", + "44. 0.28506608698602\n", + "45. 0.17798247128418\n", + "46. 0.245730187620068\n", + "47. 0.177216358351483\n", + "48. 0.433170732671639\n", + "49. 0.336242120877284\n", + "50. 0.216739976911541\n", + "51. 0.231263460052332\n", + "52. 0.213531290225727\n", + "53. 0.311442574274451\n", + "54. 0.244590376582228\n", + "55. 0.352554834138125\n", + "56. 0.280791250497283\n", + "57. 0.232168054997422\n", + "58. 0.402888336977527\n", + "59. 0.342935898073754\n", + "60. 0.285668042963285\n", + "61. 0.306697422275834\n", + "62. 0.253672967750349\n", + "63. 0.298228434106973\n", + "64. 0.153861005293402\n", + "65. 0.324095283427064\n", + "66. 0.24358699020597\n", + "67. 0.246268357842985\n", + "68. 0.334347008068743\n", + "69. 0.463190260211072\n", + "70. 0.245434785464224\n", + "71. 0.256165171614681\n", + "72. 0.455857010531152\n", + "73. 0.419381776074789\n", + "74. 0.418993717429575\n", + "75. 0.250891889010833\n", + "76. 0.223946353550153\n", + "77. 0.248469037155332\n", + "78. 0.294853309878837\n", + "79. 0.250487093966115\n", + "80. 0.171321721162295\n", + "81. 0.285701354628899\n", + "82. 0.225507489968189\n", + "83. 0.264590821442558\n", + "84. 0.146888668661419\n", + "85. 0.279239716673006\n", + "86. 0.271406432196256\n", + "87. 0.121820870456109\n", + "88. 0.29248931418463\n", + "89. 0.175665602808759\n", + "90. 0.272919586398392\n", + "91. 0.342007297663186\n", + "92. 0.353478455047913\n", + "93. 0.230254081911289\n", + "94. 0.281469585196462\n", + "95. 0.239974909762388\n", + "96. 0.297848884421646\n", + "97. 0.282149593333268\n", + "98. 0.241656803290328\n", + "99. 0.216072194641761\n", + "100. 0.302879859185157\n", + "\n", + "\n", + "\n", + "51. 1. 0.178015665076832\n", + "2. 0.156855754174583\n", + "3. 0.216443474045979\n", + "4. 0.101661920709096\n", + "5. 0.180329841354508\n", + "6. 0.203879189323149\n", + "7. 0.16329319375935\n", + "8. 0.259524478636343\n", + "9. 0.307348617825097\n", + "10. 0.142440564780707\n", + "11. 0.323745484757926\n", + "12. 0.15967435985485\n", + "13. 0.255179215261148\n", + "14. 0.160549501540549\n", + "15. 0.225916022156365\n", + "16. 0.380034103791088\n", + "17. 0.219163020233963\n", + "18. 0.282550821909985\n", + "19. 0.252165405264756\n", + "20. 0.211176298622533\n", + "21. 0.119628685910999\n", + "22. 0.279830202039092\n", + "23. 0.116171361692203\n", + "24. 0.158105060447411\n", + "25. 0.131066916532934\n", + "26. 0.397844692345502\n", + "27. 0.251917196632476\n", + "28. 0.280106663733561\n", + "29. 0.280513519607245\n", + "30. 0.138351522903484\n", + "31. 0.286553715013429\n", + "32. 0.224659832705366\n", + "33. 0.233106738032502\n", + "34. 0.182013985506387\n", + "35. 0.316679249760881\n", + "36. 0.186186816788432\n", + "37. 0.298515848328758\n", + "38. 0.214073298533606\n", + "39. 0.306506747379356\n", + "40. 0.12332526815993\n", + "41. 0.186319661083034\n", + "42. 0.196284717486288\n", + "43. 0.320576427612415\n", + "44. 0.208971930159574\n", + "45. 0.217482982827757\n", + "46. 0.172312329985563\n", + "47. 0.179833701565315\n", + "48. 0.34918147770797\n", + "49. 0.211744991543384\n", + "50. 0.22429155311103\n", + "51. 0.182025213556591\n", + "52. 0.225993590117212\n", + "53. 0.346366194871054\n", + "54. 0.0903185989790574\n", + "55. 0.354820060855681\n", + "56. 0.335436437318971\n", + "57. 0.35149708102309\n", + "58. 0.315751842725876\n", + "59. 0.310453768887009\n", + "60. 0.100099908786149\n", + "61. 0.158472061934205\n", + "62. 0.274075931347088\n", + "63. 0.213236846159346\n", + "64. 0.263164346802386\n", + "65. 0.193109057152695\n", + "66. 0.311937506950871\n", + "67. 0.299516854987923\n", + "68. 0.118113931163486\n", + "69. 0.2656103880116\n", + "70. 0.224341480852704\n", + "71. 0.153276615541357\n", + "72. 0.20293230415735\n", + "73. 0.159031745186545\n", + "74. 0.246751588904952\n", + "75. 0.160576829033353\n", + "76. 0.156541310111497\n", + "77. 0.285294137929744\n", + "78. 0.233922833516766\n", + "79. 0.247345940303253\n", + "80. 0.306064276222483\n", + "81. 0.279602736138391\n", + "82. 0.346391329660931\n", + "83. 0.174434482610796\n", + "84. 0.2190747066369\n", + "85. 0.260708316293311\n", + "86. 0.31668534867626\n", + "87. 0.231369840342309\n", + "88. 0.230501381334014\n", + "89. 0.34073480487232\n", + "90. 0.310981026373199\n", + "91. 0.0844032288085267\n", + "92. 0.247068631744166\n", + "93. 0.197950270172152\n", + "94. 0.377008849175088\n", + "95. 0.161658568278805\n", + "96. 0.282825994186941\n", + "97. 0.197707820863739\n", + "98. 0.225592914725481\n", + "99. 0.285301625447957\n", + "100. 0.406658617260599\n", + "\n", + "\n", + "\n", + "52. 1. 0.187254499668262\n", + "2. 0.171994328000207\n", + "3. 0.272578720167164\n", + "4. 0.253474030196476\n", + "5. 0.191649968228839\n", + "6. 0.192986201203637\n", + "7. 0.227490696460936\n", + "8. 0.24288830693316\n", + "9. 0.191950633824074\n", + "10. 0.138846164184915\n", + "11. 0.114830342372419\n", + "12. 0.192489206372075\n", + "13. 0.172489154041183\n", + "14. 0.236192098919407\n", + "15. 0.173520853361668\n", + "16. 0.222053499985474\n", + "17. 0.260562211653945\n", + "18. 0.314141017732543\n", + "19. 0.310927992479207\n", + "20. 0.361727843957071\n", + "21. 0.210448961214982\n", + "22. 0.249142758119801\n", + "23. 0.222750088737416\n", + "24. 0.1754326668916\n", + "25. 0.329400410983052\n", + "26. 0.170334789610381\n", + "27. 0.308378826888732\n", + "28. 0.278364137321251\n", + "29. 0.225522324631958\n", + "30. 0.284284511151826\n", + "31. 0.23509783162905\n", + "32. 0.295613544717417\n", + "33. 0.233227984623129\n", + "34. 0.303314992622808\n", + "35. 0.246090559688707\n", + "36. 0.145096409190444\n", + "37. 0.309134424086924\n", + "38. 0.259537355147236\n", + "39. 0.269567033413905\n", + "40. 0.289502656038459\n", + "41. 0.211102794989288\n", + "42. 0.225510488948108\n", + "43. 0.320781197743495\n", + "44. 0.309274960404667\n", + "45. 0.205850307666652\n", + "46. 0.263088207521231\n", + "47. 0.217452213594574\n", + "48. 0.421529292332679\n", + "49. 0.0739764754486255\n", + "50. 0.265271242304806\n", + "51. 0.225930771438621\n", + "52. 0.333304308471311\n", + "53. 0.3341619997118\n", + "54. 0.170384688854079\n", + "55. 0.296897106059932\n", + "56. 0.143533236762045\n", + "57. 0.172584910279558\n", + "58. 0.226225816768494\n", + "59. 0.202941044004414\n", + "60. 0.131716437636675\n", + "61. 0.259443923904112\n", + "62. 0.310448172651669\n", + "63. 0.260675472343975\n", + "64. 0.302920287944636\n", + "65. 0.215030297132857\n", + "66. 0.154963967167124\n", + "67. 0.170352385002559\n", + "68. 0.161118955014387\n", + "69. 0.136943757336812\n", + "70. 0.308443573553623\n", + "71. 0.0958303627291011\n", + "72. 0.329125380060305\n", + "73. 0.266316276400458\n", + "74. 0.292715272950323\n", + "75. 0.274759127704489\n", + "76. 0.309213604983321\n", + "77. 0.181319934586898\n", + "78. 0.258124521040613\n", + "79. 0.193970458085687\n", + "80. 0.397482418936063\n", + "81. 0.238603214668881\n", + "82. 0.102777536556661\n", + "83. 0.307797327011316\n", + "84. 0.344468305520312\n", + "85. 0.324710020872319\n", + "86. 0.187760166792473\n", + "87. 0.198430411256933\n", + "88. 0.206926776415177\n", + "89. 0.235885038169071\n", + "90. 0.314827353954076\n", + "91. 0.327244969063064\n", + "92. 0.211710796375391\n", + "93. 0.182271976186011\n", + "94. 0.0474815960202031\n", + "95. 0.377031679199571\n", + "96. 0.306986764197161\n", + "97. 0.221773367946513\n", + "98. 0.324741378651145\n", + "99. 0.376735340075282\n", + "100. 0.259330469273513\n", + "\n", + "\n", + "\n", + "53. 1. 0.209281054448276\n", + "2. 0.223173810692096\n", + "3. 0.199997970949689\n", + "4. 0.172573258977447\n", + "5. 0.253842123591882\n", + "6. 0.247628175015259\n", + "7. 0.260902928781868\n", + "8. 0.239371185975561\n", + "9. 0.152322446248572\n", + "10. 0.253784602726031\n", + "11. 0.285139515664445\n", + "12. 0.200407119046086\n", + "13. 0.225911757046887\n", + "14. 0.287248688089642\n", + "15. 0.280815095997386\n", + "16. 0.329017806975477\n", + "17. 0.221290384990176\n", + "18. 0.391091390109188\n", + "19. 0.26653531380981\n", + "20. 0.22985179050102\n", + "21. 0.306046359302208\n", + "22. 0.284242706820644\n", + "23. 0.165108409145988\n", + "24. 0.218095318432371\n", + "25. 0.334297791518078\n", + "26. 0.126595718735191\n", + "27. 0.306705545094417\n", + "28. 0.265488200798949\n", + "29. 0.211262917572575\n", + "30. 0.386365100615755\n", + "31. 0.212353792584633\n", + "32. 0.215451234205519\n", + "33. 0.133011209768307\n", + "34. 0.346625600685951\n", + "35. 0.152019555531459\n", + "36. 0.313445540453826\n", + "37. 0.211393928624309\n", + "38. 0.264089924670353\n", + "39. 0.269062090030616\n", + "40. 0.367647142693423\n", + "41. 0.297398672163054\n", + "42. 0.308922225188961\n", + "43. 0.361461724079713\n", + "44. 0.168704885945969\n", + "45. 0.204601400616753\n", + "46. 0.225686480321713\n", + "47. 0.16985793542517\n", + "48. 0.338942414762882\n", + "49. 0.380206560215206\n", + "50. 0.389769864573597\n", + "51. 0.358892241867133\n", + "52. 0.281569048548769\n", + "53. 0.272934030763627\n", + "54. 0.168829141665975\n", + "55. 0.27615837867646\n", + "56. 0.217438605321982\n", + "57. 0.368922071710345\n", + "58. 0.22192069695701\n", + "59. 0.359216859194158\n", + "60. 0.259040476178829\n", + "61. 0.28668018175736\n", + "62. 0.265031714784874\n", + "63. 0.205616138784185\n", + "64. 0.209347020625847\n", + "65. 0.413516483929263\n", + "66. 0.371280255288463\n", + "67. 0.175825022492336\n", + "68. 0.303672455663157\n", + "69. 0.187179077671056\n", + "70. 0.129911859492218\n", + "71. 0.241122894144102\n", + "72. 0.299390138536607\n", + "73. 0.232772839268251\n", + "74. 0.151761360446832\n", + "75. 0.190001387437247\n", + "76. 0.301866929948414\n", + "77. 0.240225649368484\n", + "78. 0.356488468378446\n", + "79. 0.25275083682302\n", + "80. 0.183517278670801\n", + "81. 0.230155582196402\n", + "82. 0.370847483786551\n", + "83. 0.244938455732634\n", + "84. 0.323378399115197\n", + "85. 0.276723926311855\n", + "86. 0.228180101657322\n", + "87. 0.383486028031045\n", + "88. 0.230606661570898\n", + "89. 0.412676028371663\n", + "90. 0.373489086671371\n", + "91. 0.075554050105735\n", + "92. 0.226641278236838\n", + "93. 0.368797299812429\n", + "94. 0.199289677962749\n", + "95. 0.284314755228896\n", + "96. 0.195512472764617\n", + "97. 0.168173563103484\n", + "98. 0.298087434204733\n", + "99. 0.233681932946835\n", + "100. 0.22603210396586\n", + "\n", + "\n", + "\n", + "54. 1. 0.223811652409632\n", + "2. 0.17706257561082\n", + "3. 0.208013448617459\n", + "4. 0.257579976965851\n", + "5. 0.332750044177974\n", + "6. 0.217173834903771\n", + "7. 0.306208453479183\n", + "8. 0.278170485957438\n", + "9. 0.267544221369837\n", + "10. 0.221903865910863\n", + "11. 0.199482682026184\n", + "12. 0.22920458053661\n", + "13. 0.237166074456802\n", + "14. 0.241178288919439\n", + "15. 0.220017510288363\n", + "16. 0.298632667664047\n", + "17. 0.266545672294022\n", + "18. 0.177029466812483\n", + "19. 0.378996753544044\n", + "20. 0.168834188651539\n", + "21. 0.231301963429972\n", + "22. 0.239095564418328\n", + "23. 0.311721246010085\n", + "24. 0.195508046125284\n", + "25. 0.145309335918298\n", + "26. 0.290081620083733\n", + "27. 0.359778934990173\n", + "28. 0.246948614548908\n", + "29. 0.146167324434938\n", + "30. 0.174655821033412\n", + "31. 0.355328705018731\n", + "32. 0.182018635767327\n", + "33. 0.295398909019669\n", + "34. 0.214349607619244\n", + "35. 0.209036650408953\n", + "36. 0.268145719733204\n", + "37. 0.356327144683288\n", + "38. 0.297995229113355\n", + "39. 0.247811442145672\n", + "40. 0.318419318849441\n", + "41. 0.188922178218293\n", + "42. 0.18698006825722\n", + "43. 0.207502551067644\n", + "44. 0.250842780369357\n", + "45. 0.208147498884254\n", + "46. 0.388218367304228\n", + "47. 0.271407079342014\n", + "48. 0.223266857857688\n", + "49. 0.267513636936681\n", + "50. 0.241659651634216\n", + "51. 0.334079132487266\n", + "52. 0.266498009421221\n", + "53. 0.234426579499263\n", + "54. 0.17383573484163\n", + "55. 0.231574748055295\n", + "56. 0.307345565072339\n", + "57. 0.202288073816103\n", + "58. 0.357218284218915\n", + "59. 0.24524442865068\n", + "60. 0.126763340656499\n", + "61. 0.153449430865244\n", + "62. 0.188621140355418\n", + "63. 0.333941910638438\n", + "64. 0.353542881380363\n", + "65. 0.256393540351436\n", + "66. 0.202254876416113\n", + "67. 0.355037117153195\n", + "68. 0.306905000669833\n", + "69. 0.247454760018999\n", + "70. 0.256061574609308\n", + "71. 0.275852594551792\n", + "72. 0.359418231639369\n", + "73. 0.336173005333829\n", + "74. 0.169941661763454\n", + "75. 0.315669773137292\n", + "76. 0.118090482069099\n", + "77. 0.331061542182552\n", + "78. 0.167256740134581\n", + "79. 0.280151744394222\n", + "80. 0.209618391419788\n", + "81. 0.170266610476266\n", + "82. 0.247427018072232\n", + "83. 0.22628081503928\n", + "84. 0.241961930159679\n", + "85. 0.303169046802566\n", + "86. 0.246059070866476\n", + "87. 0.176196437605512\n", + "88. 0.360245214213166\n", + "89. 0.22616121381595\n", + "90. 0.329729180939518\n", + "91. 0.329376903151417\n", + "92. 0.265260537289322\n", + "93. 0.215912955596784\n", + "94. 0.225801351543041\n", + "95. 0.257819711151828\n", + "96. 0.191613270976346\n", + "97. 0.311387557720926\n", + "98. 0.38469172303452\n", + "99. 0.442739222039054\n", + "100. 0.291597859465467\n", + "\n", + "\n", + "\n", + "55. 1. 0.328799539534941\n", + "2. 0.311258385301582\n", + "3. 0.279031541287643\n", + "4. 0.327401865817716\n", + "5. 0.271514060791834\n", + "6. 0.245525709070686\n", + "7. 0.300434898587766\n", + "8. 0.286356260681623\n", + "9. 0.214580882036067\n", + "10. 0.518947077108664\n", + "11. 0.353728886830209\n", + "12. 0.285814099998437\n", + "13. 0.231322348576057\n", + "14. 0.265611922758645\n", + "15. 0.200467855651294\n", + "16. 0.214830958877281\n", + "17. 0.199477292116776\n", + "18. 0.194032480533056\n", + "19. 0.332876804727138\n", + "20. 0.488712711669087\n", + "21. 0.232878728557297\n", + "22. 0.373134493908676\n", + "23. 0.13815493436104\n", + "24. 0.226912472895871\n", + "25. 0.274178765675912\n", + "26. 0.246676463021288\n", + "27. 0.177557377105249\n", + "28. 0.264187916652239\n", + "29. 0.180342333114727\n", + "30. 0.164382965261273\n", + "31. 0.173064405175435\n", + "32. 0.305533988162159\n", + "33. 0.391526605476995\n", + "34. 0.321541922451926\n", + "35. 0.244802355355896\n", + "36. 0.384991558429324\n", + "37. 0.454855499334977\n", + "38. 0.298712184540093\n", + "39. 0.176428455232451\n", + "40. 0.264892360540608\n", + "41. 0.189169458680109\n", + "42. 0.131253619219548\n", + "43. 0.356400357865384\n", + "44. 0.0922335418999422\n", + "45. 0.311798285267537\n", + "46. 0.255289851134661\n", + "47. 0.158887831706172\n", + "48. 0.220973095417805\n", + "49. 0.309908573114664\n", + "50. 0.31346765095241\n", + "51. 0.193146961636895\n", + "52. 0.210001201018288\n", + "53. 0.162130602542609\n", + "54. 0.282073400536557\n", + "55. 0.339102901349757\n", + "56. 0.192788671830266\n", + "57. 0.295962941000936\n", + "58. 0.24671237514407\n", + "59. 0.308144353088713\n", + "60. 0.30295074420948\n", + "61. 0.414893398915279\n", + "62. 0.420695115345631\n", + "63. 0.411549343064427\n", + "64. 0.346624166643242\n", + "65. 0.373779279202248\n", + "66. 0.0458676017940797\n", + "67. 0.334794908447047\n", + "68. 0.0952160354196661\n", + "69. 0.320463886002753\n", + "70. 0.342744138626126\n", + "71. 0.282216590546686\n", + "72. 0.128150734828998\n", + "73. 0.209230327395585\n", + "74. 0.354117634585879\n", + "75. 0.332245998030239\n", + "76. 0.297415542124965\n", + "77. 0.316902792810677\n", + "78. 0.18409562486037\n", + "79. 0.321634578884545\n", + "80. 0.198493076194524\n", + "81. 0.220578947058513\n", + "82. 0.31376839982512\n", + "83. 0.315306122557694\n", + "84. 0.264416177200492\n", + "85. 0.283729854342569\n", + "86. 0.27893579448839\n", + "87. 0.234631930223981\n", + "88. 0.264356746826502\n", + "89. 0.294119603079839\n", + "90. 0.186903425821314\n", + "91. 0.438667586467815\n", + "92. 0.236796506506316\n", + "93. 0.277868083209513\n", + "94. 0.271281028185435\n", + "95. 0.213153780904203\n", + "96. 0.26018606108068\n", + "97. 0.481805434344623\n", + "98. 0.368269044283366\n", + "99. 0.31683464647699\n", + "100. 0.251216961947437\n", + "\n", + "\n", + "\n", + "56. 1. 0.335624499004686\n", + "2. 0.276507528174772\n", + "3. 0.247484275420365\n", + "4. 0.243544047143477\n", + "5. 0.125211394484882\n", + "6. 0.155539007977785\n", + "7. 0.388945251393666\n", + "8. 0.22664078208619\n", + "9. 0.235147594770917\n", + "10. 0.285293093306286\n", + "11. 0.123469454541351\n", + "12. 0.136366021173616\n", + "13. 0.279046702403554\n", + "14. 0.37993023115221\n", + "15. 0.182395944642176\n", + "16. 0.251376457829156\n", + "17. 0.415319435427867\n", + "18. 0.11587192049102\n", + "19. 0.18738235307904\n", + "20. 0.218931737429356\n", + "21. 0.284248303417286\n", + "22. 0.280452097081864\n", + "23. 0.289764901783825\n", + "24. 0.254140314902985\n", + "25. 0.254209901802846\n", + "26. 0.26825742734879\n", + "27. 0.190613862929198\n", + "28. 0.186910492207608\n", + "29. 0.235522498701664\n", + "30. 0.229576668524393\n", + "31. 0.246515725784641\n", + "32. 0.149165571718873\n", + "33. 0.272787301273919\n", + "34. 0.282628821339836\n", + "35. 0.246004320782957\n", + "36. 0.235503106415727\n", + "37. 0.198806762761557\n", + "38. 0.389976739888094\n", + "39. 0.203821970473538\n", + "40. 0.300671534526224\n", + "41. 0.234759820565768\n", + "42. 0.142602920370966\n", + "43. 0.264366413367186\n", + "44. 0.194848478525321\n", + "45. 0.303434361827909\n", + "46. 0.343186423682173\n", + "47. 0.235281183157062\n", + "48. 0.321939657621275\n", + "49. 0.168508550170808\n", + "50. 0.444828538004837\n", + "51. 0.359829869336222\n", + "52. 0.222119106495734\n", + "53. 0.218717258293778\n", + "54. 0.358660963208697\n", + "55. 0.240460656571942\n", + "56. 0.193354462921682\n", + "57. 0.310687767114644\n", + "58. 0.169202346963082\n", + "59. 0.129864544765584\n", + "60. 0.359941045555955\n", + "61. 0.133453844146796\n", + "62. 0.18910736094445\n", + "63. 0.248491471271189\n", + "64. 0.339380156438347\n", + "65. 0.112807259531421\n", + "66. 0.254391286029775\n", + "67. 0.234294933768135\n", + "68. 0.17745510007295\n", + "69. 0.157799435462276\n", + "70. 0.275378791518416\n", + "71. 0.21411584133254\n", + "72. 0.157128285674417\n", + "73. 0.253912945405569\n", + "74. 0.374555450773442\n", + "75. 0.384794016097683\n", + "76. 0.118855609906658\n", + "77. 0.230036432529187\n", + "78. 0.163079550175788\n", + "79. 0.317276235560837\n", + "80. 0.312619613333257\n", + "81. 0.188058309421737\n", + "82. 0.121338000075729\n", + "83. 0.346365607383509\n", + "84. 0.213904692622192\n", + "85. 0.238569449346798\n", + "86. 0.303488688795934\n", + "87. 0.129597258761476\n", + "88. 0.289226058603866\n", + "89. 0.193508091099693\n", + "90. 0.162309813036291\n", + "91. 0.206460976936764\n", + "92. 0.37176771325252\n", + "93. 0.30816024630156\n", + "94. 0.256431948472439\n", + "95. 0.198891753220893\n", + "96. 0.34715855110566\n", + "97. 0.2092513685551\n", + "98. 0.0629878853612639\n", + "99. 0.154835589644852\n", + "100. 0.219148260280039\n", + "\n", + "\n", + "\n", + "57. 1. 0.307011578140876\n", + "2. 0.247126617764868\n", + "3. 0.326093309051089\n", + "4. 0.232384347560885\n", + "5. 0.170395057994467\n", + "6. 0.162061424761817\n", + "7. 0.357323961250855\n", + "8. 0.153345472942564\n", + "9. 0.117148930793153\n", + "10. 0.175105550876995\n", + "11. 0.107501453436276\n", + "12. 0.130541732489938\n", + "13. 0.242884720655619\n", + "14. 0.145541419940026\n", + "15. 0.210433941254126\n", + "16. 0.350894777843126\n", + "17. 0.185170958505233\n", + "18. 0.320546483954991\n", + "19. 0.292975325466927\n", + "20. 0.263003050137054\n", + "21. 0.296677736572817\n", + "22. 0.203787587264525\n", + "23. 0.133761317492994\n", + "24. 0.26787450903326\n", + "25. 0.291597837684282\n", + "26. 0.316808353666331\n", + "27. 0.326320450414095\n", + "28. 0.277374603194908\n", + "29. 0.279413554945542\n", + "30. 0.275835694017222\n", + "31. 0.119030722719587\n", + "32. 0.15355743137187\n", + "33. 0.202516531519068\n", + "34. 0.195336124691534\n", + "35. 0.347282953766069\n", + "36. 0.260366403292897\n", + "37. 0.301929761720545\n", + "38. 0.367920795534806\n", + "39. 0.116551962728233\n", + "40. 0.352829571285032\n", + "41. 0.279421362049579\n", + "42. 0.255174481767557\n", + "43. 0.171545989433998\n", + "44. 0.204922448405879\n", + "45. 0.243131290247945\n", + "46. 0.229745848882457\n", + "47. 0.24848892592423\n", + "48. 0.184458055230616\n", + "49. 0.211606310616581\n", + "50. 0.255078957480561\n", + "51. 0.214852005572883\n", + "52. 0.191367467268405\n", + "53. 0.324718193988125\n", + "54. 0.26781481361376\n", + "55. 0.201213958147191\n", + "56. 0.345731097124428\n", + "57. 0.288254905731331\n", + "58. 0.148995305515991\n", + "59. 0.295715345364474\n", + "60. 0.377941002746424\n", + "61. 0.245022049105194\n", + "62. 0.320362787418967\n", + "63. 0.319535756812361\n", + "64. 0.286207810205898\n", + "65. 0.289521467719913\n", + "66. 0.345526926058185\n", + "67. 0.255506641240531\n", + "68. 0.265254907676873\n", + "69. 0.454381344937878\n", + "70. 0.26864311578841\n", + "71. 0.336983425492243\n", + "72. 0.285892773403315\n", + "73. 0.274446430701992\n", + "74. 0.285946009283351\n", + "75. 0.247331705907812\n", + "76. 0.216236468056147\n", + "77. 0.252565268912719\n", + "78. 0.223076423843719\n", + "79. 0.212889606157784\n", + "80. 0.24578925359996\n", + "81. 0.24400968288244\n", + "82. 0.181747489039017\n", + "83. 0.261773330371168\n", + "84. 0.303162768093332\n", + "85. 0.414253593339142\n", + "86. 0.193793096314147\n", + "87. 0.270006384151706\n", + "88. 0.120346943934334\n", + "89. 0.215893408174673\n", + "90. 0.244032520707873\n", + "91. 0.12537181664141\n", + "92. 0.281004830111259\n", + "93. 0.284482367640226\n", + "94. 0.2479291511924\n", + "95. 0.367291721596335\n", + "96. 0.366113757470161\n", + "97. 0.146306639795439\n", + "98. 0.213696142309501\n", + "99. 0.155677288451147\n", + "100. 0.13952327830963\n", + "\n", + "\n", + "\n", + "58. 1. 0.214594015105842\n", + "2. 0.272309054017158\n", + "3. 0.33328629725394\n", + "4. 0.25542411079311\n", + "5. 0.193385249905398\n", + "6. 0.28138368680332\n", + "7. 0.144682635212553\n", + "8. 0.312360488863462\n", + "9. 0.229709182554863\n", + "10. 0.229667174825869\n", + "11. 0.293296055570693\n", + "12. 0.221698750847299\n", + "13. 0.221456161895263\n", + "14. 0.182454862840971\n", + "15. 0.231919987265921\n", + "16. 0.27988577765244\n", + "17. 0.139211047807287\n", + "18. 0.235514388901429\n", + "19. 0.266744975001519\n", + "20. 0.305396086679012\n", + "21. 0.258162128090748\n", + "22. 0.233759392157344\n", + "23. 0.15828478166073\n", + "24. 0.318132475242142\n", + "25. 0.222706456324927\n", + "26. 0.215881392255863\n", + "27. 0.201040338760536\n", + "28. 0.265645069718683\n", + "29. 0.183400617846493\n", + "30. 0.235284787310396\n", + "31. 0.24360711361491\n", + "32. 0.175564577337992\n", + "33. 0.198936656731615\n", + "34. 0.333600945196905\n", + "35. 0.243308459816632\n", + "36. 0.310291753681639\n", + "37. 0.253940000668723\n", + "38. 0.140157649132963\n", + "39. 0.20950916126587\n", + "40. 0.281008943568496\n", + "41. 0.308948986901599\n", + "42. 0.204367673736938\n", + "43. 0.311468727828117\n", + "44. 0.269109743422241\n", + "45. 0.256898667090889\n", + "46. 0.297383955080447\n", + "47. 0.222412892508161\n", + "48. 0.288543844815039\n", + "49. 0.181977710030682\n", + "50. 0.278619289020006\n", + "51. 0.187359392544213\n", + "52. 0.191063305161793\n", + "53. 0.245037573859063\n", + "54. 0.219677148426203\n", + "55. 0.256916715473143\n", + "56. 0.26560536939075\n", + "57. 0.289220931436238\n", + "58. 0.219426663579928\n", + "59. 0.138596172555657\n", + "60. 0.357679976207289\n", + "61. 0.369778941325666\n", + "62. 0.122517239659106\n", + "63. 0.375844889576194\n", + "64. 0.242028586762295\n", + "65. 0.29641840199662\n", + "66. 0.239927116966654\n", + "67. 0.199083380086134\n", + "68. 0.215522537583702\n", + "69. 0.34627731692084\n", + "70. 0.177852450515544\n", + "71. 0.304093671538908\n", + "72. 0.348447363673011\n", + "73. 0.311225851979065\n", + "74. 0.269115763468454\n", + "75. 0.190950216753975\n", + "76. 0.263288200033424\n", + "77. 0.189713220356327\n", + "78. 0.251766137200942\n", + "79. 0.305512180197173\n", + "80. 0.207518578358071\n", + "81. 0.263139223419691\n", + "82. 0.12802442832991\n", + "83. 0.224456782345072\n", + "84. 0.347376871599191\n", + "85. 0.405402433888013\n", + "86. 0.320188509631507\n", + "87. 0.0931804817389349\n", + "88. 0.174307836991629\n", + "89. 0.272356191634485\n", + "90. 0.206608670815096\n", + "91. 0.298265243210718\n", + "92. 0.167268999327687\n", + "93. 0.231034508643898\n", + "94. 0.28407681804075\n", + "95. 0.365560238230653\n", + "96. 0.206363823135632\n", + "97. 0.293992953847107\n", + "98. 0.184360300577684\n", + "99. 0.153545993137451\n", + "100. 0.251540899386441\n", + "\n", + "\n", + "\n", + "59. 1. 0.285324593748956\n", + "2. 0.339769173161746\n", + "3. 0.448923882206329\n", + "4. 0.330342640522518\n", + "5. 0.386067843954805\n", + "6. 0.321440925492579\n", + "7. 0.228663786237397\n", + "8. 0.213805776440775\n", + "9. 0.153929361235671\n", + "10. 0.293287810219929\n", + "11. 0.279107532441732\n", + "12. 0.261683170709992\n", + "13. 0.299800173806927\n", + "14. 0.330043736327306\n", + "15. 0.288751339668678\n", + "16. 0.306046495706556\n", + "17. 0.139289823281255\n", + "18. 0.247730453505291\n", + "19. 0.275780730931561\n", + "20. 0.286111097910097\n", + "21. 0.213649636837235\n", + "22. 0.172830171527646\n", + "23. 0.205093256438191\n", + "24. 0.381021337101314\n", + "25. 0.285574330828365\n", + "26. 0.236489668584281\n", + "27. 0.30840049167817\n", + "28. 0.353878656352121\n", + "29. 0.210141864082487\n", + "30. 0.249616608776326\n", + "31. 0.199213570685865\n", + "32. 0.254920077177454\n", + "33. 0.316935358311345\n", + "34. 0.401476235671357\n", + "35. 0.219881967426802\n", + "36. 0.270437788169097\n", + "37. 0.317433775799253\n", + "38. 0.377995291836942\n", + "39. 0.347197315493199\n", + "40. 0.309986479571436\n", + "41. 0.24189979614256\n", + "42. 0.2607518666368\n", + "43. 0.218646082616991\n", + "44. 0.237287241710457\n", + "45. 0.318737246511056\n", + "46. 0.262607161119833\n", + "47. 0.395216588378588\n", + "48. 0.396210812289955\n", + "49. 0.360313115342971\n", + "50. 0.373945994531061\n", + "51. 0.263484372918908\n", + "52. 0.153972313214477\n", + "53. 0.272631919142055\n", + "54. 0.429395469949064\n", + "55. 0.194668475343588\n", + "56. 0.364628910868643\n", + "57. 0.27247159236878\n", + "58. 0.303925250185699\n", + "59. 0.296396060645741\n", + "60. 0.153097207018102\n", + "61. 0.161804879006908\n", + "62. 0.340775731902106\n", + "63. 0.310090855995242\n", + "64. 0.323453314802685\n", + "65. 0.23525202095262\n", + "66. 0.345610406245077\n", + "67. 0.33264841797283\n", + "68. 0.324549883215056\n", + "69. 0.424578544041776\n", + "70. 0.237139677595135\n", + "71. 0.206295671972973\n", + "72. 0.170014285667471\n", + "73. 0.371384221064901\n", + "74. 0.194923911347225\n", + "75. 0.27851372103396\n", + "76. 0.302780845579363\n", + "77. 0.0997502367962773\n", + "78. 0.25466755080367\n", + "79. 0.365082246764125\n", + "80. 0.298439960681222\n", + "81. 0.198823127216174\n", + "82. 0.232681072408868\n", + "83. 0.251537410737476\n", + "84. 0.261982577593934\n", + "85. 0.360005300020725\n", + "86. 0.135962035509941\n", + "87. 0.394125573294391\n", + "88. 0.258026761000666\n", + "89. 0.203856551002356\n", + "90. 0.149441199921302\n", + "91. 0.204441794974694\n", + "92. 0.178409205775485\n", + "93. 0.181104541739412\n", + "94. 0.113468548979138\n", + "95. 0.208685724610949\n", + "96. 0.309522730280684\n", + "97. 0.296700149471657\n", + "98. 0.135751311877605\n", + "99. 0.331225569854133\n", + "100. 0.166365706842511\n", + "\n", + "\n", + "\n", + "60. 1. 0.219150042476114\n", + "2. 0.130375248176435\n", + "3. 0.238273467480838\n", + "4. 0.336298690787974\n", + "5. 0.297217220161187\n", + "6. 0.428120281096857\n", + "7. 0.331417395855934\n", + "8. 0.125543949634691\n", + "9. 0.232315702181488\n", + "10. 0.326732741170002\n", + "11. 0.319276761507925\n", + "12. 0.166276264487519\n", + "13. 0.222264953117147\n", + "14. 0.360317889463829\n", + "15. 0.266002806817958\n", + "16. 0.221049538123594\n", + "17. 0.246387612774264\n", + "18. 0.292956194713765\n", + "19. 0.245925845042934\n", + "20. 0.204458268521716\n", + "21. 0.283647440024525\n", + "22. 0.240813650694554\n", + "23. 0.266371777095817\n", + "24. 0.268519258225598\n", + "25. 0.378773647175187\n", + "26. 0.250480173440862\n", + "27. 0.141461039775608\n", + "28. 0.147697560938495\n", + "29. 0.295134011665325\n", + "30. 0.221711990907837\n", + "31. 0.219715492211361\n", + "32. 0.126473275026553\n", + "33. 0.27852622560826\n", + "34. 0.233936099384723\n", + "35. 0.214123729030146\n", + "36. 0.293521408198852\n", + "37. 0.19429540890259\n", + "38. 0.1205029631041\n", + "39. 0.176811977708728\n", + "40. 0.332402897870148\n", + "41. 0.206429467088254\n", + "42. 0.211116451988874\n", + "43. 0.120316867437142\n", + "44. 0.175678458630797\n", + "45. 0.260420123898624\n", + "46. 0.344328299333178\n", + "47. 0.255318774089804\n", + "48. 0.185220245414355\n", + "49. 0.246460621480647\n", + "50. 0.173201879315594\n", + "51. 0.233493616699813\n", + "52. 0.167348478252144\n", + "53. 0.283940860663804\n", + "54. 0.261788530087788\n", + "55. 0.295979456896876\n", + "56. 0.104937846329079\n", + "57. 0.207946366772665\n", + "58. 0.311835726326596\n", + "59. 0.212463001988852\n", + "60. 0.17991843808069\n", + "61. 0.262222439935158\n", + "62. 0.186211269984139\n", + "63. 0.24155905588528\n", + "64. 0.243351820137158\n", + "65. 0.163042395849641\n", + "66. 0.338866106299898\n", + "67. 0.180333918359426\n", + "68. 0.250422828935\n", + "69. 0.181055314505627\n", + "70. 0.229004095705936\n", + "71. 0.226663999295565\n", + "72. 0.212321148385827\n", + "73. 0.236996271295341\n", + "74. 0.244180915151191\n", + "75. 0.296386566480691\n", + "76. 0.418766377187413\n", + "77. 0.307652000837535\n", + "78. 0.174416535395786\n", + "79. 0.285284720437704\n", + "80. 0.152502469013376\n", + "81. 0.357230384007284\n", + "82. 0.305850891083561\n", + "83. 0.307272013525919\n", + "84. 0.237873620930737\n", + "85. 0.341003842486079\n", + "86. 0.217073716837695\n", + "87. 0.238722765431304\n", + "88. 0.167604621021588\n", + "89. 0.4564511671049\n", + "90. 0.172161279719212\n", + "91. 0.301379452437665\n", + "92. 0.283681295904562\n", + "93. 0.261056845191068\n", + "94. 0.150658497688697\n", + "95. 0.209037419161714\n", + "96. 0.148040616217408\n", + "97. 0.268188269339319\n", + "98. 0.171116584721391\n", + "99. 0.109262016999449\n", + "100. 0.106835301722698\n", + "\n", + "\n", + "\n", + "61. 1. 0.342175594959077\n", + "2. 0.329266296551701\n", + "3. 0.371975320003693\n", + "4. 0.334918463354589\n", + "5. 0.144861940575044\n", + "6. 0.346834431793328\n", + "7. 0.166255339882532\n", + "8. 0.237974723663867\n", + "9. 0.138875769119849\n", + "10. 0.32538192728673\n", + "11. 0.261179521739652\n", + "12. 0.229312411353188\n", + "13. 0.21056698200539\n", + "14. 0.130646321748772\n", + "15. 0.190358945169469\n", + "16. 0.300429081166087\n", + "17. 0.364908035907957\n", + "18. 0.186635213677815\n", + "19. 0.28042367893273\n", + "20. 0.301161199156585\n", + "21. 0.304298153308636\n", + "22. 0.257749484878669\n", + "23. 0.331376949970992\n", + "24. 0.181889931300587\n", + "25. 0.304742360483794\n", + "26. 0.261091692505914\n", + "27. 0.412546407072712\n", + "28. 0.265017755630095\n", + "29. 0.32064306913323\n", + "30. 0.309842489742922\n", + "31. 0.236205406653952\n", + "32. 0.271837541299908\n", + "33. 0.400044166459602\n", + "34. 0.253395349904247\n", + "35. 0.443846633966924\n", + "36. 0.0946129562488496\n", + "37. 0.157524329382298\n", + "38. 0.228704742885402\n", + "39. 0.209794815257291\n", + "40. 0.249692623139209\n", + "41. 0.31666176830303\n", + "42. 0.240439476476206\n", + "43. 0.346520459272503\n", + "44. 0.36172059555202\n", + "45. 0.174962069102944\n", + "46. 0.301588491248676\n", + "47. 0.162089809591576\n", + "48. 0.296456362405984\n", + "49. 0.235701257272428\n", + "50. 0.281021378745735\n", + "51. 0.303396908750707\n", + "52. 0.191821006575444\n", + "53. 0.257499972427468\n", + "54. 0.152974547934961\n", + "55. 0.273946981284252\n", + "56. 0.174820325434562\n", + "57. 0.361801967498823\n", + "58. 0.256386703695457\n", + "59. 0.231139781644536\n", + "60. 0.173996386789984\n", + "61. 0.199627174217115\n", + "62. 0.320356324907713\n", + "63. 0.236572631303533\n", + "64. 0.167137438309505\n", + "65. 0.285549238760414\n", + "66. 0.225099968426707\n", + "67. 0.0977558810193997\n", + "68. 0.212298569784974\n", + "69. 0.448969545803796\n", + "70. 0.171940128849604\n", + "71. 0.227662069332035\n", + "72. 0.33143852354028\n", + "73. 0.249423713401938\n", + "74. 0.331617577540913\n", + "75. 0.274238520322044\n", + "76. 0.29308211454617\n", + "77. 0.377179514940498\n", + "78. 0.219055730451542\n", + "79. 0.219646519049387\n", + "80. 0.314636178879286\n", + "81. 0.344898933252442\n", + "82. 0.219412782637317\n", + "83. 0.183740336473991\n", + "84. 0.199322856138639\n", + "85. 0.135805726430609\n", + "86. 0.293098144780095\n", + "87. 0.326103425341931\n", + "88. 0.321104122209378\n", + "89. 0.385332383847265\n", + "90. 0.251887131012913\n", + "91. 0.314754182707506\n", + "92. 0.228227358025034\n", + "93. 0.281734078524957\n", + "94. 0.144768002954308\n", + "95. 0.161216270910547\n", + "96. 0.190856298064762\n", + "97. 0.425232015840684\n", + "98. 0.211269805841804\n", + "99. 0.428657252768149\n", + "100. 0.283862630978471\n", + "\n", + "\n", + "\n", + "62. 1. 0.354808023780304\n", + "2. 0.305379569639103\n", + "3. 0.291761037290803\n", + "4. 0.132602294650617\n", + "5. 0.291999753712489\n", + "6. 0.157805391308795\n", + "7. 0.137799156045922\n", + "8. 0.401764258423891\n", + "9. 0.261851732467694\n", + "10. 0.302514681352627\n", + "11. 0.260268294266717\n", + "12. 0.205825237815016\n", + "13. 0.162559389172913\n", + "14. 0.414403323848102\n", + "15. 0.293430785424533\n", + "16. 0.264751386373448\n", + "17. 0.305105120614522\n", + "18. 0.27690947276223\n", + "19. 0.170837401831153\n", + "20. 0.169818531178646\n", + "21. 0.206384842328909\n", + "22. 0.365458275607701\n", + "23. 0.406037694623145\n", + "24. 0.172745608328193\n", + "25. 0.0923033360413353\n", + "26. 0.24971205175476\n", + "27. 0.359070345709124\n", + "28. 0.153991864040238\n", + "29. 0.328738263693383\n", + "30. 0.32073353610641\n", + "31. 0.210673898493234\n", + "32. 0.415927102946402\n", + "33. 0.350831401963657\n", + "34. 0.351453389455699\n", + "35. 0.376865058237686\n", + "36. 0.154818917394373\n", + "37. 0.147117169696679\n", + "38. 0.249896963997002\n", + "39. 0.17198844453671\n", + "40. 0.195008565882825\n", + "41. 0.175924691356306\n", + "42. 0.29408523491376\n", + "43. 0.42526640470589\n", + "44. 0.275483895282418\n", + "45. 0.263730418859313\n", + "46. 0.419109578868339\n", + "47. 0.167662679402953\n", + "48. 0.292413454557259\n", + "49. 0.170844028637567\n", + "50. 0.339152614081912\n", + "51. 0.314153281611284\n", + "52. 0.351250904994231\n", + "53. 0.311680475413339\n", + "54. 0.171485007092931\n", + "55. 0.376227915231265\n", + "56. 0.2452047991136\n", + "57. 0.337561996940175\n", + "58. 0.254322331406182\n", + "59. 0.287758521942025\n", + "60. 0.260316545138295\n", + "61. 0.287577980315114\n", + "62. 0.253913750017965\n", + "63. 0.256062341516804\n", + "64. 0.325935939856675\n", + "65. 0.160756484960382\n", + "66. 0.126985577610381\n", + "67. 0.258905276958854\n", + "68. 0.270691535412953\n", + "69. 0.410759372877381\n", + "70. 0.246829329917392\n", + "71. 0.272685170254784\n", + "72. 0.165751289745174\n", + "73. 0.380200180351088\n", + "74. 0.261582166163685\n", + "75. 0.31789235769828\n", + "76. 0.199054292691837\n", + "77. 0.454556460361519\n", + "78. 0.182873359325748\n", + "79. 0.396009367915423\n", + "80. 0.298501387729659\n", + "81. 0.150962766302496\n", + "82. 0.249966413178638\n", + "83. 0.350267707339117\n", + "84. 0.13369392919324\n", + "85. 0.28614410135068\n", + "86. 0.276603947494522\n", + "87. 0.217010638035914\n", + "88. 0.206482057044454\n", + "89. 0.30716465506401\n", + "90. 0.248375859761549\n", + "91. 0.405370519309773\n", + "92. 0.389751781457552\n", + "93. 0.315755719230724\n", + "94. 0.26352881825733\n", + "95. 0.358226991299484\n", + "96. 0.163482950596867\n", + "97. 0.272405288751224\n", + "98. 0.212572666449977\n", + "99. 0.280898255813291\n", + "100. 0.460382365978703\n", + "\n", + "\n", + "\n", + "63. 1. 0.358424851298476\n", + "2. 0.378133410552466\n", + "3. 0.399609733306319\n", + "4. 0.295072860251742\n", + "5. 0.251752098706267\n", + "6. 0.325875059352443\n", + "7. 0.411594426000204\n", + "8. 0.357562326861973\n", + "9. 0.390429770585934\n", + "10. 0.228234966805952\n", + "11. 0.271563072112248\n", + "12. 0.418523471450772\n", + "13. 0.336031589438075\n", + "14. 0.429557111697334\n", + "15. 0.247304555405166\n", + "16. 0.573306863374047\n", + "17. 0.348760761601925\n", + "18. 0.208368678816095\n", + "19. 0.215854856531181\n", + "20. 0.396962396460451\n", + "21. 0.22320760884207\n", + "22. 0.463762172072577\n", + "23. 0.205478549910386\n", + "24. 0.340667319147652\n", + "25. 0.257044751260839\n", + "26. 0.213722447076511\n", + "27. 0.379854834470305\n", + "28. 0.248810007852155\n", + "29. 0.102653440035144\n", + "30. 0.392984974190865\n", + "31. 0.251430968000444\n", + "32. 0.44518903713767\n", + "33. 0.348055801802143\n", + "34. 0.267105390509539\n", + "35. 0.294326995404482\n", + "36. 0.258931990112666\n", + "37. 0.266948728960536\n", + "38. 0.290891421910469\n", + "39. 0.25689221485848\n", + "40. 0.345390122712558\n", + "41. 0.170135491823314\n", + "42. 0.311905882425059\n", + "43. 0.467538193557511\n", + "44. 0.293185341155267\n", + "45. 0.542494575773022\n", + "46. 0.314818452366821\n", + "47. 0.332657784889458\n", + "48. 0.275426204370914\n", + "49. 0.22842819473862\n", + "50. 0.224760543446592\n", + "51. 0.367347470620636\n", + "52. 0.318430640756933\n", + "53. 0.471950211169209\n", + "54. 0.449847792941593\n", + "55. 0.171195265976901\n", + "56. 0.327149360216884\n", + "57. 0.258554418376006\n", + "58. 0.405886819669256\n", + "59. 0.280208595410927\n", + "60. 0.4368181537411\n", + "61. 0.21329692478361\n", + "62. 0.363455315297249\n", + "63. 0.214436635127964\n", + "64. 0.248027159497002\n", + "65. 0.241382511992962\n", + "66. 0.345155284024567\n", + "67. 0.337594556332903\n", + "68. 0.217354359885282\n", + "69. 0.375256857355915\n", + "70. 0.381851727237899\n", + "71. 0.333378254946008\n", + "72. 0.278353568477249\n", + "73. 0.277629351264716\n", + "74. 0.231261691850315\n", + "75. 0.197143091420763\n", + "76. 0.221780138934842\n", + "77. 0.362275162616909\n", + "78. 0.195875262687857\n", + "79. 0.236321408208913\n", + "80. 0.264510721004415\n", + "81. 0.347492099765229\n", + "82. 0.337822361609498\n", + "83. 0.202123431141197\n", + "84. 0.332995109477925\n", + "85. 0.339236060053172\n", + "86. 0.289644195247514\n", + "87. 0.213086322359176\n", + "88. 0.292697010220504\n", + "89. 0.341798092656455\n", + "90. 0.20893097613531\n", + "91. 0.168611186514025\n", + "92. 0.289880668086207\n", + "93. 0.369191305623686\n", + "94. 0.19715518817501\n", + "95. 0.301466212786727\n", + "96. 0.246173596644921\n", + "97. 0.456152663969619\n", + "98. 0.406470902272343\n", + "99. 0.138293096444609\n", + "100. 0.330074620185158\n", + "\n", + "\n", + "\n", + "64. 1. 0.268545305285998\n", + "2. 0.252636995388647\n", + "3. 0.225752067689231\n", + "4. 0.305354980176963\n", + "5. 0.170118927385808\n", + "6. 0.31149496758424\n", + "7. 0.38073283787163\n", + "8. 0.513693400269537\n", + "9. 0.229080659369141\n", + "10. 0.455220044672574\n", + "11. 0.414760399361119\n", + "12. 0.470408436352542\n", + "13. 0.318202678005421\n", + "14. 0.286317529580759\n", + "15. 0.311384121994569\n", + "16. 0.360927476500308\n", + "17. 0.194103013197104\n", + "18. 0.31458320198495\n", + "19. 0.257848052080415\n", + "20. 0.238299916367524\n", + "21. 0.287823619520062\n", + "22. 0.221511101890121\n", + "23. 0.292630508503012\n", + "24. 0.37606868670683\n", + "25. 0.368355364662846\n", + "26. 0.307583088697541\n", + "27. 0.332334954788722\n", + "28. 0.26490905943103\n", + "29. 0.304705002658037\n", + "30. 0.298457153616394\n", + "31. 0.22810934712661\n", + "32. 0.209019207016761\n", + "33. 0.181028709947072\n", + "34. 0.193460459115936\n", + "35. 0.30359058412425\n", + "36. 0.297288468587863\n", + "37. 0.226122687452131\n", + "38. 0.180897547176407\n", + "39. 0.284979727029148\n", + "40. 0.211903902066365\n", + "41. 0.291852871488326\n", + "42. 0.286972583255243\n", + "43. 0.224525612452826\n", + "44. 0.297061732981297\n", + "45. 0.410794742361251\n", + "46. 0.457806321214461\n", + "47. 0.388626619776742\n", + "48. 0.386302446229269\n", + "49. 0.255914568973434\n", + "50. 0.224386429578575\n", + "51. 0.239900459919054\n", + "52. 0.36506879051492\n", + "53. 0.25992410911641\n", + "54. 0.262491927341901\n", + "55. 0.327628819225754\n", + "56. 0.139334518199293\n", + "57. 0.402589963526743\n", + "58. 0.160977465851096\n", + "59. 0.259571938005284\n", + "60. 0.265274183407783\n", + "61. 0.475123515282327\n", + "62. 0.281257278675327\n", + "63. 0.328003545187053\n", + "64. 0.24286483901975\n", + "65. 0.407778111883519\n", + "66. 0.427061269173871\n", + "67. 0.263603564376382\n", + "68. 0.52358728320757\n", + "69. 0.162391968260574\n", + "70. 0.435516502632466\n", + "71. 0.208423311532097\n", + "72. 0.244164996158324\n", + "73. 0.29087865581847\n", + "74. 0.287087872215705\n", + "75. 0.428790270771006\n", + "76. 0.161603762303461\n", + "77. 0.245410132837599\n", + "78. 0.248414887551707\n", + "79. 0.328181116213321\n", + "80. 0.285474962929126\n", + "81. 0.276134620129046\n", + "82. 0.245569949921226\n", + "83. 0.363605900238322\n", + "84. 0.291426295316041\n", + "85. 0.397396299236718\n", + "86. 0.292835636229436\n", + "87. 0.155333798036727\n", + "88. 0.0897704514400005\n", + "89. 0.277284083625554\n", + "90. 0.200565877127503\n", + "91. 0.228899614490276\n", + "92. 0.172654156973679\n", + "93. 0.34087166667573\n", + "94. 0.235797727797447\n", + "95. 0.188939371425229\n", + "96. 0.256453780937101\n", + "97. 0.185881270555226\n", + "98. 0.400060957794297\n", + "99. 0.230436945627832\n", + "100. 0.162464114604169\n", + "\n", + "\n", + "\n", + "65. 1. 0.294126810080863\n", + "2. 0.0281002322490525\n", + "3. 0.143220569546073\n", + "4. 0.139435875800683\n", + "5. 0.162388570193603\n", + "6. 0.268783800697138\n", + "7. 0.304991471875899\n", + "8. 0.316083127084548\n", + "9. 0.255091735802363\n", + "10. 0.217802673275333\n", + "11. 0.233890397634403\n", + "12. 0.32093348522635\n", + "13. 0.240738523046071\n", + "14. 0.305394592374714\n", + "15. 0.252966760568403\n", + "16. 0.278422701082288\n", + "17. 0.156877787185765\n", + "18. 0.24641152102172\n", + "19. 0.308634013785087\n", + "20. 0.166303221534755\n", + "21. 0.302253674326169\n", + "22. 0.310906500162549\n", + "23. 0.238399186466979\n", + "24. 0.204830011366026\n", + "25. 0.298095310744557\n", + "26. 0.285318720142954\n", + "27. 0.23459070332293\n", + "28. 0.377840884334884\n", + "29. 0.393740056541076\n", + "30. 0.126084702624542\n", + "31. 0.278870257158621\n", + "32. 0.282918063629403\n", + "33. 0.254621821430138\n", + "34. 0.359386123616229\n", + "35. 0.174040606914627\n", + "36. 0.400954414859173\n", + "37. 0.329403584556317\n", + "38. 0.208868764643964\n", + "39. 0.324510600806227\n", + "40. 0.234153453512942\n", + "41. 0.203701274363157\n", + "42. 0.32172142802197\n", + "43. 0.147826323070258\n", + "44. 0.229107735837408\n", + "45. 0.29274987414466\n", + "46. 0.282466453462775\n", + "47. 0.167822401382517\n", + "48. 0.388677927423499\n", + "49. 0.219972174700804\n", + "50. 0.106283819790271\n", + "51. 0.28054629888341\n", + "52. 0.10803794777186\n", + "53. 0.323883056824559\n", + "54. 0.230185156438532\n", + "55. 0.113024737946109\n", + "56. 0.217462368363993\n", + "57. 0.249297447543562\n", + "58. 0.0672603555353325\n", + "59. 0.348753288102927\n", + "60. 0.426442086220764\n", + "61. 0.184544750608467\n", + "62. 0.383759169288367\n", + "63. 0.139903669559866\n", + "64. 0.20122406470669\n", + "65. 0.315416663542173\n", + "66. 0.293853830886644\n", + "67. 0.349942649312058\n", + "68. 0.385339891682747\n", + "69. 0.227609462798787\n", + "70. 0.158185513684321\n", + "71. 0.214813790959516\n", + "72. 0.162538513832103\n", + "73. 0.165749199713945\n", + "74. 0.103514718533014\n", + "75. 0.237666687116583\n", + "76. 0.303080805478277\n", + "77. 0.119316668281801\n", + "78. 0.283248975371042\n", + "79. 0.189372741274937\n", + "80. 0.192014291133932\n", + "81. 0.309763566550005\n", + "82. 0.289648510373823\n", + "83. 0.201163016450709\n", + "84. 0.139552594895153\n", + "85. 0.231551208636706\n", + "86. 0.421434001724522\n", + "87. 0.134716776881094\n", + "88. 0.21914328026169\n", + "89. 0.173152591096109\n", + "90. 0.15553996111316\n", + "91. 0.167669267537893\n", + "92. 0.161947089146397\n", + "93. 0.216436936743564\n", + "94. 0.161672697213262\n", + "95. 0.253153822161542\n", + "96. 0.302550061807324\n", + "97. 0.156420062071635\n", + "98. 0.240766095316757\n", + "99. 0.294046794621196\n", + "100. 0.199662615803137\n", + "\n", + "\n", + "\n", + "66. 1. 0.323683845770759\n", + "2. 0.285080520661388\n", + "3. 0.263258992579304\n", + "4. 0.233088417996365\n", + "5. 0.240111765973154\n", + "6. 0.221057321451775\n", + "7. 0.303779715287318\n", + "8. 0.254378414078198\n", + "9. 0.251519069773378\n", + "10. 0.17905083975631\n", + "11. 0.216258943724824\n", + "12. 0.233100897173622\n", + "13. 0.222468363321137\n", + "14. 0.236361464858702\n", + "15. 0.27135048308363\n", + "16. 0.317479335683939\n", + "17. 0.173022371423819\n", + "18. 0.132992497150213\n", + "19. 0.264634211647752\n", + "20. 0.192687302491628\n", + "21. 0.300193674776579\n", + "22. 0.263725709185975\n", + "23. 0.307611773511064\n", + "24. 0.310202164840893\n", + "25. 0.264497348988821\n", + "26. 0.389537315362998\n", + "27. 0.220437283451496\n", + "28. 0.414354129389973\n", + "29. 0.197130098814544\n", + "30. 0.239737282881111\n", + "31. 0.261425898810666\n", + "32. 0.251976318852648\n", + "33. 0.286302553641625\n", + "34. 0.211527637599838\n", + "35. 0.3802785008174\n", + "36. 0.249190800731843\n", + "37. 0.186455116582737\n", + "38. 0.116058833923275\n", + "39. 0.376972739940089\n", + "40. 0.34777427294139\n", + "41. 0.388153474006613\n", + "42. 0.0646362428833309\n", + "43. 0.283586255935073\n", + "44. 0.152579130318483\n", + "45. 0.357168622304044\n", + "46. 0.139554881948677\n", + "47. 0.380389380266213\n", + "48. 0.197074701351812\n", + "49. 0.289823689026658\n", + "50. 0.218897350288883\n", + "51. 0.330505092610759\n", + "52. 0.123042642259354\n", + "53. 0.13085347870653\n", + "54. 0.316777441586792\n", + "55. 0.29892712152301\n", + "56. 0.457029826947164\n", + "57. 0.120777114506\n", + "58. 0.291292033654639\n", + "59. 0.386630224318542\n", + "60. 0.296977976146902\n", + "61. 0.100075333907936\n", + "62. 0.237714175494363\n", + "63. 0.329553690267114\n", + "64. 0.247685830036257\n", + "65. 0.187081587372633\n", + "66. 0.213968064734839\n", + "67. 0.159213939955007\n", + "68. 0.188652999117485\n", + "69. 0.253513922684937\n", + "70. 0.261361142375366\n", + "71. 0.200893944205691\n", + "72. 0.116223585651595\n", + "73. 0.133523170635547\n", + "74. 0.114398899548992\n", + "75. 0.256733275403847\n", + "76. 0.34731533677909\n", + "77. 0.108111086598307\n", + "78. 0.232854046842851\n", + "79. 0.229342717940944\n", + "80. 0.219056242460921\n", + "81. 0.16469174541443\n", + "82. 0.296761307442625\n", + "83. 0.162719573975026\n", + "84. 0.345314856319573\n", + "85. 0.198956591604143\n", + "86. 0.330571974897749\n", + "87. 0.28389910047585\n", + "88. 0.181733100222546\n", + "89. 0.398396408540108\n", + "90. 0.169684677474227\n", + "91. 0.0937618701997684\n", + "92. 0.29073273239229\n", + "93. 0.200109126246902\n", + "94. 0.161222025321386\n", + "95. 0.313160642384267\n", + "96. 0.441169623374526\n", + "97. 0.254509366000812\n", + "98. 0.213337254212518\n", + "99. 0.0612001568481931\n", + "100. 0.239408410115932\n", + "\n", + "\n", + "\n", + "67. 1. 0.145343076361689\n", + "2. 0.298231814232758\n", + "3. 0.417366674279848\n", + "4. 0.198777702562061\n", + "5. 0.311510427203548\n", + "6. 0.319911338935254\n", + "7. 0.0823385224689827\n", + "8. 0.320062500344077\n", + "9. 0.407175730521976\n", + "10. 0.274264159141888\n", + "11. 0.332408319873729\n", + "12. 0.242561730013811\n", + "13. 0.202711536607435\n", + "14. 0.295964692916768\n", + "15. 0.343188106472409\n", + "16. 0.282032257367446\n", + "17. 0.355820524641964\n", + "18. 0.224901434081905\n", + "19. 0.425481621504186\n", + "20. 0.227354566441677\n", + "21. 0.213064638775651\n", + "22. 0.342298470933248\n", + "23. 0.394756266121075\n", + "24. 0.310826763143144\n", + "25. 0.362444528725481\n", + "26. 0.335312558533586\n", + "27. 0.167424760384138\n", + "28. 0.262130120291323\n", + "29. 0.235380194656682\n", + "30. 0.344354180387538\n", + "31. 0.278690988750224\n", + "32. 0.23632779916284\n", + "33. 0.249177132197142\n", + "34. 0.426593178646352\n", + "35. 0.293211345025097\n", + "36. 0.311510509558138\n", + "37. 0.428953978353959\n", + "38. 0.26524595023684\n", + "39. 0.172803119872107\n", + "40. 0.270510961719266\n", + "41. 0.24681895504374\n", + "42. 0.385134497510157\n", + "43. 0.277275126487853\n", + "44. 0.136262070781443\n", + "45. 0.267814557654785\n", + "46. 0.234816285634599\n", + "47. 0.232675407157425\n", + "48. 0.224292812177163\n", + "49. 0.224115313664339\n", + "50. 0.349761192203136\n", + "51. 0.277186754026732\n", + "52. 0.157360497675181\n", + "53. 0.401212758670332\n", + "54. 0.271839750663848\n", + "55. 0.26413587564513\n", + "56. 0.392138620788653\n", + "57. 0.20206523706165\n", + "58. 0.140462637318013\n", + "59. 0.263381159220783\n", + "60. 0.455662479418738\n", + "61. 0.286206242510866\n", + "62. 0.416586593732081\n", + "63. 0.27779329068104\n", + "64. 0.308319966755461\n", + "65. 0.352124272056157\n", + "66. 0.12960724054\n", + "67. 0.178361614961116\n", + "68. 0.430696007971025\n", + "69. 0.266337827779209\n", + "70. 0.197869352605934\n", + "71. 0.311166278973522\n", + "72. 0.325474220869028\n", + "73. 0.263646818333833\n", + "74. 0.277877776545946\n", + "75. 0.207834809328556\n", + "76. 0.373551934044911\n", + "77. 0.29358807484574\n", + "78. 0.353360538389907\n", + "79. 0.24637810298772\n", + "80. 0.25856607236006\n", + "81. 0.347031821891046\n", + "82. 0.221100408126335\n", + "83. 0.244771123364122\n", + "84. 0.435133976958165\n", + "85. 0.431766689920635\n", + "86. 0.234842706405975\n", + "87. 0.330900011304129\n", + "88. 0.365844610821161\n", + "89. 0.108761904615706\n", + "90. 0.204108200744153\n", + "91. 0.32579545278728\n", + "92. 0.295512717501495\n", + "93. 0.276878505111634\n", + "94. 0.217269337517526\n", + "95. 0.166344553963028\n", + "96. 0.371405714577178\n", + "97. 0.292643908353164\n", + "98. 0.312786364100945\n", + "99. 0.227885349145865\n", + "100. 0.223698340494767\n", + "\n", + "\n", + "\n", + "68. 1. 0.105242309278431\n", + "2. 0.257036209102542\n", + "3. 0.293157543038927\n", + "4. 0.261565983052693\n", + "5. 0.102626864191437\n", + "6. 0.188058064501348\n", + "7. 0.318060907563417\n", + "8. 0.249171704926752\n", + "9. 0.21884648965072\n", + "10. 0.418117541807388\n", + "11. 0.11208824771321\n", + "12. 0.397248732049015\n", + "13. 0.281805660879761\n", + "14. 0.218325388507889\n", + "15. 0.35198798292316\n", + "16. 0.296511795430096\n", + "17. 0.234780450890771\n", + "18. 0.10724032745061\n", + "19. 0.103945033567143\n", + "20. 0.198243959588095\n", + "21. 0.281199673115603\n", + "22. 0.315518395347961\n", + "23. 0.216145795148947\n", + "24. 0.185637067851884\n", + "25. 0.227785927782752\n", + "26. 0.269960225173695\n", + "27. 0.224615689671228\n", + "28. 0.372656783279508\n", + "29. 0.366074304832856\n", + "30. 0.130743202073469\n", + "31. 0.226434515218968\n", + "32. 0.302799060533526\n", + "33. 0.148570473692033\n", + "34. 0.134884013144229\n", + "35. 0.286978331840568\n", + "36. 0.292280432943605\n", + "37. 0.134624340527681\n", + "38. 0.194508828493581\n", + "39. 0.3080271802812\n", + "40. 0.169028959362635\n", + "41. 0.160188455815146\n", + "42. 0.13009537249594\n", + "43. 0.0798344605148091\n", + "44. 0.190295907585742\n", + "45. 0.287700378044589\n", + "46. 0.357860379912078\n", + "47. 0.221435050640312\n", + "48. 0.231538483037219\n", + "49. 0.213507338906632\n", + "50. 0.331085008494044\n", + "51. 0.350756721573213\n", + "52. 0.348903778052257\n", + "53. 0.198911684604605\n", + "54. 0.162225779833199\n", + "55. 0.132485175865714\n", + "56. 0.216780930344184\n", + "57. 0.199257904404571\n", + "58. 0.138874809359896\n", + "59. 0.178216571547449\n", + "60. 0.205038576593453\n", + "61. 0.251497129902064\n", + "62. 0.195113872212485\n", + "63. 0.290044792190896\n", + "64. 0.201447053012671\n", + "65. 0.268323638180292\n", + "66. 0.217490653261029\n", + "67. 0.286806143446524\n", + "68. 0.206515974260133\n", + "69. 0.126090026271209\n", + "70. 0.411238748675865\n", + "71. 0.236887683676087\n", + "72. 0.24981781179202\n", + "73. 0.177012686686084\n", + "74. 0.175599660162624\n", + "75. 0.309418494981463\n", + "76. 0.272232988713379\n", + "77. 0.212500163468681\n", + "78. 0.250159785245945\n", + "79. 0.226580543589351\n", + "80. 0.272689513657691\n", + "81. 0.235861348004124\n", + "82. 0.292220410520241\n", + "83. 0.225244763907282\n", + "84. 0.22476111933928\n", + "85. 0.219859194086322\n", + "86. 0.230447421946548\n", + "87. 0.244079007165594\n", + "88. 0.17628166915335\n", + "89. 0.221705271789766\n", + "90. 0.28181745408469\n", + "91. 0.427145229520103\n", + "92. 0.287277829978268\n", + "93. 0.412080678607388\n", + "94. 0.288960260661961\n", + "95. 0.253804952865427\n", + "96. 0.173796549650793\n", + "97. 0.235002971357512\n", + "98. 0.129694328261601\n", + "99. 0.203093808245074\n", + "100. 0.284179723559063\n", + "\n", + "\n", + "\n", + "69. 1. 0.247110293194437\n", + "2. 0.277060218418458\n", + "3. 0.340098555133972\n", + "4. 0.149410546290744\n", + "5. 0.186802931978734\n", + "6. 0.319625724764634\n", + "7. 0.17926455674151\n", + "8. 0.232984609096997\n", + "9. 0.231474722507658\n", + "10. 0.187422340573138\n", + "11. 0.233429293692423\n", + "12. 0.335455511619115\n", + "13. 0.329913032544649\n", + "14. 0.200226003153571\n", + "15. 0.337919719396513\n", + "16. 0.206507563934429\n", + "17. 0.275478920046697\n", + "18. 0.224233124482445\n", + "19. 0.326563124501408\n", + "20. 0.374715925798025\n", + "21. 0.234997580607368\n", + "22. 0.165703250748533\n", + "23. 0.329319533208928\n", + "24. 0.326247893702667\n", + "25. 0.318235492292042\n", + "26. 0.259837270604829\n", + "27. 0.268439262692442\n", + "28. 0.164483008953108\n", + "29. 0.122434230766343\n", + "30. 0.31603889129369\n", + "31. 0.301511997686418\n", + "32. 0.190438038538496\n", + "33. 0.304477757571478\n", + "34. 0.370532746259586\n", + "35. 0.247111903977292\n", + "36. 0.292828542517171\n", + "37. 0.300525987949527\n", + "38. 0.430146207989023\n", + "39. 0.237474825314395\n", + "40. 0.15185610874796\n", + "41. 0.24077554860938\n", + "42. 0.268526334694056\n", + "43. 0.289895629966775\n", + "44. 0.301731049314704\n", + "45. 0.241821355518221\n", + "46. 0.376729834740277\n", + "47. 0.200309432530993\n", + "48. 0.2503934565016\n", + "49. 0.276251574396544\n", + "50. 0.229554528941004\n", + "51. 0.239306939068346\n", + "52. 0.265922017154514\n", + "53. 0.319751520560098\n", + "54. 0.260527288633047\n", + "55. 0.308902418548808\n", + "56. 0.234862792725641\n", + "57. 0.267175351585711\n", + "58. 0.21597152831886\n", + "59. 0.285465916836749\n", + "60. 0.216412773255298\n", + "61. 0.167476620003928\n", + "62. 0.224119195068595\n", + "63. 0.327682410385736\n", + "64. 0.291471565476015\n", + "65. 0.153931259150748\n", + "66. 0.247905325174346\n", + "67. 0.291350403414586\n", + "68. 0.360758443441294\n", + "69. 0.311315199428139\n", + "70. 0.200660059271367\n", + "71. 0.23658014382714\n", + "72. 0.262216813953229\n", + "73. 0.225300999577593\n", + "74. 0.137162890640139\n", + "75. 0.212685629717219\n", + "76. 0.33709835530132\n", + "77. 0.170504239688526\n", + "78. 0.252506765494454\n", + "79. 0.197341197343951\n", + "80. 0.373449994968099\n", + "81. 0.227139272046811\n", + "82. 0.295529324719426\n", + "83. 0.240634248892105\n", + "84. 0.264318328685119\n", + "85. 0.251503510801391\n", + "86. 0.127506311225189\n", + "87. 0.271854189685655\n", + "88. 0.230745569177176\n", + "89. 0.221117349138109\n", + "90. 0.203473096575658\n", + "91. 0.237814402745596\n", + "92. 0.293992640674613\n", + "93. 0.299199681248926\n", + "94. 0.193939695860587\n", + "95. 0.260319234081848\n", + "96. 0.352854191987771\n", + "97. 0.422047627813137\n", + "98. 0.266167512129812\n", + "99. 0.191465348925283\n", + "100. 0.273818049864508\n", + "\n", + "\n", + "\n", + "70. 1. 0.141460902933883\n", + "2. 0.169572331224221\n", + "3. 0.244920832833993\n", + "4. 0.200918040274405\n", + "5. 0.227071590747273\n", + "6. 0.244517155498998\n", + "7. 0.26631650547957\n", + "8. 0.279119370784768\n", + "9. 0.177492687128178\n", + "10. 0.324776163305991\n", + "11. 0.248393262456511\n", + "12. 0.198319821097042\n", + "13. 0.176941651867553\n", + "14. 0.268478351790117\n", + "15. 0.119665168962791\n", + "16. 0.213619026710923\n", + "17. 0.151998592563907\n", + "18. 0.289201060291983\n", + "19. 0.244026967137536\n", + "20. 0.243661907759047\n", + "21. 0.248384379774462\n", + "22. 0.24415637253665\n", + "23. 0.167505632845242\n", + "24. 0.30698017230038\n", + "25. 0.326476544282325\n", + "26. 0.405142214500631\n", + "27. 0.2476110340552\n", + "28. 0.190654910359858\n", + "29. 0.0475181394982694\n", + "30. 0.257682137274259\n", + "31. 0.24471768423572\n", + "32. 0.335544753771089\n", + "33. 0.20290387241374\n", + "34. 0.193446561242764\n", + "35. 0.201028282649247\n", + "36. 0.293904712053104\n", + "37. 0.295751995538061\n", + "38. 0.218004142478513\n", + "39. 0.238270405481486\n", + "40. 0.349305636030164\n", + "41. 0.296115985116617\n", + "42. 0.189090750509483\n", + "43. 0.302137441920457\n", + "44. 0.222527646341699\n", + "45. 0.154351135226761\n", + "46. 0.0983596619110679\n", + "47. 0.242168626962664\n", + "48. 0.149778260152337\n", + "49. 0.196582904930043\n", + "50. 0.244567785293417\n", + "51. 0.142334250456443\n", + "52. 0.179248410355\n", + "53. 0.0566349216916405\n", + "54. 0.173489514777785\n", + "55. 0.242779608487444\n", + "56. 0.214403955093351\n", + "57. 0.146943223612008\n", + "58. 0.165459553423363\n", + "59. 0.200027529598687\n", + "60. 0.2437000755765\n", + "61. 0.316416732315834\n", + "62. 0.228973537497605\n", + "63. 0.127545440447623\n", + "64. 0.254931441885701\n", + "65. 0.144247637051603\n", + "66. 0.155025550236803\n", + "67. 0.242869515425944\n", + "68. 0.384213945832407\n", + "69. 0.238269501150603\n", + "70. 0.253290898287332\n", + "71. 0.206895319358605\n", + "72. 0.150517167741784\n", + "73. 0.281695467257635\n", + "74. 0.167097778342315\n", + "75. 0.247213622998635\n", + "76. 0.147861521926719\n", + "77. 0.328363706456707\n", + "78. 0.205143329100123\n", + "79. 0.139841325410215\n", + "80. 0.272515291033094\n", + "81. 0.241557401833194\n", + "82. 0.360998029962865\n", + "83. 0.291352861700836\n", + "84. 0.0831069055141409\n", + "85. 0.209599212833367\n", + "86. 0.235802441898014\n", + "87. 0.276703746742888\n", + "88. 0.185619277328997\n", + "89. 0.110970335151236\n", + "90. 0.319053235688312\n", + "91. 0.342647702379517\n", + "92. 0.173261995052813\n", + "93. 0.0932693026423875\n", + "94. 0.245595088592837\n", + "95. 0.213761041481313\n", + "96. 0.357675226615083\n", + "97. 0.0951258829083281\n", + "98. 0.204169398227227\n", + "99. 0.191640553871523\n", + "100. 0.19202730920489\n", + "\n", + "\n", + "\n", + "71. 1. 0.325360950322643\n", + "2. 0.231881225535339\n", + "3. 0.151964800163234\n", + "4. 0.155477391345996\n", + "5. 0.126503922540459\n", + "6. 0.323882661229067\n", + "7. 0.281219502286545\n", + "8. 0.337455964074137\n", + "9. 0.178371195156245\n", + "10. 0.165721727598821\n", + "11. 0.146589007366561\n", + "12. 0.27978483157281\n", + "13. 0.133782813348125\n", + "14. 0.384628992186211\n", + "15. 0.280259767389341\n", + "16. 0.202170508042453\n", + "17. 0.267141066588438\n", + "18. 0.271190592961583\n", + "19. 0.27525681720221\n", + "20. 0.357242397486402\n", + "21. 0.215202065377181\n", + "22. 0.218818014321877\n", + "23. 0.290257643271133\n", + "24. 0.358120658790662\n", + "25. 0.138480396231545\n", + "26. 0.127057522947337\n", + "27. 0.292135809847405\n", + "28. 0.163007080531599\n", + "29. 0.197009989453564\n", + "30. 0.228552587320675\n", + "31. 0.420099932829315\n", + "32. 0.202157428336293\n", + "33. 0.272638955257572\n", + "34. 0.15840594103795\n", + "35. 0.174178445856281\n", + "36. 0.237020260543737\n", + "37. 0.249514299273198\n", + "38. 0.274069016127425\n", + "39. 0.170236412669812\n", + "40. 0.208781259743686\n", + "41. 0.392401422733044\n", + "42. 0.129199549467874\n", + "43. 0.236668282834163\n", + "44. 0.197107225411496\n", + "45. 0.327602916529984\n", + "46. 0.307156316589613\n", + "47. 0.290875759886713\n", + "48. 0.213336514474713\n", + "49. 0.242211810638893\n", + "50. 0.244500739340616\n", + "51. 0.324112035153459\n", + "52. 0.224526651427024\n", + "53. 0.158540317546675\n", + "54. 0.224397163408538\n", + "55. 0.275988016860311\n", + "56. 0.277745985876755\n", + "57. 0.280970219082894\n", + "58. 0.177759238878625\n", + "59. 0.292305748152634\n", + "60. 0.14442417931573\n", + "61. 0.18656653486622\n", + "62. 0.0824857758688529\n", + "63. 0.33813373721976\n", + "64. 0.241039028364841\n", + "65. 0.28235748906608\n", + "66. 0.335710334038687\n", + "67. 0.31698747659479\n", + "68. 0.128146232841896\n", + "69. 0.250490655161173\n", + "70. 0.266255405799932\n", + "71. 0.194403504449469\n", + "72. 0.259014820349221\n", + "73. 0.161391635628341\n", + "74. 0.275872773065704\n", + "75. 0.116269349831147\n", + "76. 0.251712777733153\n", + "77. 0.322259186126787\n", + "78. 0.206572664769771\n", + "79. 0.349921863388758\n", + "80. 0.330010186759373\n", + "81. 0.225067034646814\n", + "82. 0.263311769379627\n", + "83. 0.389178262232512\n", + "84. 0.28423323634463\n", + "85. 0.260468023710022\n", + "86. 0.194659419099289\n", + "87. 0.226160075034696\n", + "88. 0.293359171692671\n", + "89. 0.257940187442928\n", + "90. 0.329569188089966\n", + "91. 0.304359706405633\n", + "92. 0.33579813498474\n", + "93. 0.127764598806325\n", + "94. 0.202674092578855\n", + "95. 0.209653336211938\n", + "96. 0.332249863909325\n", + "97. 0.23975118344854\n", + "98. 0.28376601534676\n", + "99. 0.237756142836811\n", + "100. 0.155068573401361\n", + "\n", + "\n", + "\n", + "72. 1. 0.299894908157544\n", + "2. 0.353899088702225\n", + "3. 0.325109247286901\n", + "4. 0.276759176701728\n", + "5. 0.259532205655324\n", + "6. 0.264065856063243\n", + "7. 0.32385602381071\n", + "8. 0.352970635396693\n", + "9. 0.274399547411079\n", + "10. 0.155938690771803\n", + "11. 0.256686842661248\n", + "12. 0.330566445316606\n", + "13. 0.213486833028873\n", + "14. 0.36940298068025\n", + "15. 0.326889370754142\n", + "16. 0.209068193759995\n", + "17. 0.159764792904899\n", + "18. 0.297632671007148\n", + "19. 0.285300905795499\n", + "20. 0.201966277562304\n", + "21. 0.380338575130921\n", + "22. 0.267418260201484\n", + "23. 0.280447042198638\n", + "24. 0.257866785177463\n", + "25. 0.321501195883055\n", + "26. 0.317074859290742\n", + "27. 0.262608496106401\n", + "28. 0.173974986006187\n", + "29. 0.322500938689976\n", + "30. 0.128639860689316\n", + "31. 0.222542375732892\n", + "32. 0.30258563077796\n", + "33. 0.314665180608685\n", + "34. 0.208946349249603\n", + "35. 0.247821281410573\n", + "36. 0.206897230099954\n", + "37. 0.327388635438879\n", + "38. 0.337884100535554\n", + "39. 0.115958599895998\n", + "40. 0.333850920611821\n", + "41. 0.226344081023462\n", + "42. 0.376096911393107\n", + "43. 0.335615115414817\n", + "44. 0.414891830310287\n", + "45. 0.215353183366133\n", + "46. 0.275629392655962\n", + "47. 0.361103896705484\n", + "48. 0.304230117281901\n", + "49. 0.121589262738069\n", + "50. 0.321556838339616\n", + "51. 0.407811072694644\n", + "52. 0.296564144185182\n", + "53. 0.178917974165121\n", + "54. 0.329836011127166\n", + "55. 0.195359534450713\n", + "56. 0.29563198849041\n", + "57. 0.165325653467052\n", + "58. 0.318209213237076\n", + "59. 0.292019000304923\n", + "60. 0.335360095262781\n", + "61. 0.151457692547443\n", + "62. 0.287369974375249\n", + "63. 0.219625091888943\n", + "64. 0.353918396703483\n", + "65. 0.277009670419373\n", + "66. 0.241549352271953\n", + "67. 0.255786310303897\n", + "68. 0.260681035389023\n", + "69. 0.192569927554527\n", + "70. 0.212263712211126\n", + "71. 0.421861617567654\n", + "72. 0.240979260635712\n", + "73. 0.259538930921617\n", + "74. 0.262810317974968\n", + "75. 0.326126044016362\n", + "76. 0.229776588648976\n", + "77. 0.390553186550397\n", + "78. 0.164233353484698\n", + "79. 0.255335613776023\n", + "80. 0.290825598618795\n", + "81. 0.240064634557825\n", + "82. 0.254185539690785\n", + "83. 0.320496155495016\n", + "84. 0.236703877440137\n", + "85. 0.225095324420244\n", + "86. 0.275490743602233\n", + "87. 0.2296499304182\n", + "88. 0.265765816840183\n", + "89. 0.189744346586415\n", + "90. 0.131888023000359\n", + "91. 0.354964441386108\n", + "92. 0.381664603428658\n", + "93. 0.463337640573837\n", + "94. 0.249752844622111\n", + "95. 0.307547905481926\n", + "96. 0.327487768341913\n", + "97. 0.267076561423289\n", + "98. 0.250237870340896\n", + "99. 0.0983132198357867\n", + "100. 0.386491785808757\n", + "\n", + "\n", + "\n", + "73. 1. 0.201308852919627\n", + "2. 0.183428749181994\n", + "3. 0.251290335748811\n", + "4. 0.180910155731414\n", + "5. 0.196061993621163\n", + "6. 0.340027214220622\n", + "7. 0.424674324745544\n", + "8. 0.25889348694867\n", + "9. 0.330617771031771\n", + "10. 0.232853392180568\n", + "11. 0.300320944269238\n", + "12. 0.347949078413597\n", + "13. 0.259488858026183\n", + "14. 0.352224023253505\n", + "15. 0.111540326560457\n", + "16. 0.327706463774419\n", + "17. 0.283601568055279\n", + "18. 0.188132879717083\n", + "19. 0.358552703627309\n", + "20. 0.276276043314374\n", + "21. 0.377389140343498\n", + "22. 0.270233862198506\n", + "23. 0.443619574140925\n", + "24. 0.197979074421995\n", + "25. 0.230433461218461\n", + "26. 0.238932789896083\n", + "27. 0.257926547946581\n", + "28. 0.13951658534046\n", + "29. 0.217927431128796\n", + "30. 0.250872557857221\n", + "31. 0.320836695039719\n", + "32. 0.312708351196187\n", + "33. 0.305903330499065\n", + "34. 0.113512338915677\n", + "35. 0.149581484716952\n", + "36. 0.124312636774451\n", + "37. 0.251980640796417\n", + "38. 0.174208620785452\n", + "39. 0.307754544396653\n", + "40. 0.323804966586349\n", + "41. 0.278322015555846\n", + "42. 0.259881495510671\n", + "43. 0.303768301381133\n", + "44. 0.267346726219128\n", + "45. 0.340357005435215\n", + "46. 0.28417408162748\n", + "47. 0.141786880887746\n", + "48. 0.256975164491755\n", + "49. 0.226562953348683\n", + "50. 0.265480348198197\n", + "51. 0.192951137835965\n", + "52. 0.33676623161529\n", + "53. 0.372873348924402\n", + "54. 0.302453192486899\n", + "55. 0.356061127443514\n", + "56. 0.1776481630043\n", + "57. 0.310029031609643\n", + "58. 0.120095250478827\n", + "59. 0.348069939357909\n", + "60. 0.225672615248228\n", + "61. 0.22311802988505\n", + "62. 0.354571100418084\n", + "63. 0.243227375729683\n", + "64. 0.255945988997676\n", + "65. 0.23744850001634\n", + "66. 0.217725297052039\n", + "67. 0.285019847017899\n", + "68. 0.184409857175701\n", + "69. 0.239425709042572\n", + "70. 0.218949321985381\n", + "71. 0.328690055307342\n", + "72. 0.329508060470883\n", + "73. 0.284633298283592\n", + "74. 0.338619304441759\n", + "75. 0.17352834550437\n", + "76. 0.30064709815068\n", + "77. 0.105921782374198\n", + "78. 0.300881830289053\n", + "79. 0.31681606003772\n", + "80. 0.347929456488925\n", + "81. 0.196830437390727\n", + "82. 0.233689516769604\n", + "83. 0.283971455195133\n", + "84. 0.244339850875941\n", + "85. 0.2444000436619\n", + "86. 0.313430171720158\n", + "87. 0.356313103679351\n", + "88. 0.271543216410762\n", + "89. 0.0798643365786459\n", + "90. 0.180094250383876\n", + "91. 0.174931369145647\n", + "92. 0.0868132466114623\n", + "93. 0.276266531042387\n", + "94. 0.174617575508255\n", + "95. 0.2585858106311\n", + "96. 0.327022764387989\n", + "97. 0.207395634569454\n", + "98. 0.331427340777904\n", + "99. 0.276936212118859\n", + "100. 0.281150625434357\n", + "\n", + "\n", + "\n", + "74. 1. 0.334151364375547\n", + "2. 0.281371761524517\n", + "3. 0.235385240942119\n", + "4. 0.356517380765876\n", + "5. 0.323436749156413\n", + "6. 0.214771915202349\n", + "7. 0.3891062662854\n", + "8. 0.150468844798934\n", + "9. 0.201409971825285\n", + "10. 0.249606599549958\n", + "11. 0.261567809075259\n", + "12. 0.23456913802159\n", + "13. 0.333253960898844\n", + "14. 0.211952918128879\n", + "15. 0.174034913649975\n", + "16. 0.345412738263606\n", + "17. 0.237918374121969\n", + "18. 0.242749744304443\n", + "19. 0.160250831992349\n", + "20. 0.340222031090055\n", + "21. 0.179463303338838\n", + "22. 0.136286160628189\n", + "23. 0.168088200624005\n", + "24. 0.147884713473603\n", + "25. 0.297404200072832\n", + "26. 0.231480540768985\n", + "27. 0.333571475292211\n", + "28. 0.112078508953616\n", + "29. 0.139247485250326\n", + "30. 0.253109962414179\n", + "31. 0.281464427084576\n", + "32. 0.157913728691549\n", + "33. 0.326994098192271\n", + "34. 0.269845622072529\n", + "35. 0.190323666237896\n", + "36. 0.175601572547943\n", + "37. 0.197247796546166\n", + "38. 0.335508322795984\n", + "39. 0.252821618336895\n", + "40. 0.175674673433583\n", + "41. 0.278355536999304\n", + "42. 0.349020563843374\n", + "43. 0.303086348697623\n", + "44. 0.438756094909868\n", + "45. 0.235946928369374\n", + "46. 0.302929559377237\n", + "47. 0.26600560345152\n", + "48. 0.348167145941855\n", + "49. 0.340748679411575\n", + "50. 0.373592684439539\n", + "51. 0.33999139762645\n", + "52. 0.26250552505749\n", + "53. 0.226661550058796\n", + "54. 0.253430118804215\n", + "55. 0.484166065541713\n", + "56. 0.305706731899103\n", + "57. 0.392565058321683\n", + "58. 0.242312948846228\n", + "59. 0.237594092997862\n", + "60. 0.33522522425862\n", + "61. 0.192728613622126\n", + "62. 0.368003792463671\n", + "63. 0.285956999272971\n", + "64. 0.153610251381808\n", + "65. 0.226081071849545\n", + "66. 0.245949792432693\n", + "67. 0.327179811478488\n", + "68. 0.329098087483348\n", + "69. 0.256760938480071\n", + "70. 0.192901952683876\n", + "71. 0.266151237511975\n", + "72. 0.264395031559538\n", + "73. 0.286303853295137\n", + "74. 0.37375063554913\n", + "75. 0.388512358538545\n", + "76. 0.218073150589359\n", + "77. 0.317092386445386\n", + "78. 0.262459130226322\n", + "79. 0.38254813716687\n", + "80. 0.40866553482584\n", + "81. 0.30099494684473\n", + "82. 0.314885744971618\n", + "83. 0.269412562990691\n", + "84. 0.222485164597326\n", + "85. 0.23539764345766\n", + "86. 0.198173961667879\n", + "87. 0.231817442125839\n", + "88. 0.209679744588799\n", + "89. 0.204982417037033\n", + "90. 0.283835152804712\n", + "91. 0.238063093166828\n", + "92. 0.246083032774041\n", + "93. 0.247431497967683\n", + "94. 0.194052086632811\n", + "95. 0.41648691563789\n", + "96. 0.288822696364606\n", + "97. 0.171519628531289\n", + "98. 0.268874438078119\n", + "99. 0.451767715506752\n", + "100. 0.286083432445201\n", + "\n", + "\n", + "\n", + "75. 1. 0.331560550667514\n", + "2. 0.178204803845767\n", + "3. 0.275287470814387\n", + "4. 0.20448296311198\n", + "5. 0.400971846558915\n", + "6. 0.267627538075936\n", + "7. 0.211264124472877\n", + "8. 0.213396075935951\n", + "9. 0.35306399542095\n", + "10. 0.232522819614176\n", + "11. 0.383908285616216\n", + "12. 0.240906834700105\n", + "13. 0.181085622369853\n", + "14. 0.225971912098799\n", + "15. 0.228656279337206\n", + "16. 0.149156959440974\n", + "17. 0.237100764711751\n", + "18. 0.258835877070049\n", + "19. 0.282395464184805\n", + "20. 0.314597115164008\n", + "21. 0.346980214124262\n", + "22. 0.360702036403267\n", + "23. 0.456598879679602\n", + "24. 0.318511509196444\n", + "25. 0.274887626698119\n", + "26. 0.284615390298096\n", + "27. 0.384084281962256\n", + "28. 0.362525433774202\n", + "29. 0.133917142140652\n", + "30. 0.326476127915\n", + "31. 0.265616854966112\n", + "32. 0.316469606164934\n", + "33. 0.283201247399596\n", + "34. 0.428799847365668\n", + "35. 0.244835289870399\n", + "36. 0.437837884412518\n", + "37. 0.279017871422266\n", + "38. 0.14223311007335\n", + "39. 0.294445395453519\n", + "40. 0.27625288453777\n", + "41. 0.460494685253162\n", + "42. 0.416108813200393\n", + "43. 0.211953203996582\n", + "44. 0.381502342658298\n", + "45. 0.272966431689821\n", + "46. 0.241642713192263\n", + "47. 0.287130011916336\n", + "48. 0.379665399355398\n", + "49. 0.195234159949684\n", + "50. 0.131943510658863\n", + "51. 0.175112531124335\n", + "52. 0.223623661536787\n", + "53. 0.296613498364611\n", + "54. 0.265493246609512\n", + "55. 0.299788914152315\n", + "56. 0.328016033780359\n", + "57. 0.332823305536308\n", + "58. 0.284921175168044\n", + "59. 0.222111034241486\n", + "60. 0.223462196263154\n", + "61. 0.286125063840729\n", + "62. 0.182230342516195\n", + "63. 0.285926168416912\n", + "64. 0.285177681204565\n", + "65. 0.213535053469632\n", + "66. 0.175979838486922\n", + "67. 0.341444060994997\n", + "68. 0.300234424959596\n", + "69. 0.121053004915926\n", + "70. 0.329108824183397\n", + "71. 0.231028775689131\n", + "72. 0.350724675527334\n", + "73. 0.27413317122171\n", + "74. 0.290955826370799\n", + "75. 0.324602125873923\n", + "76. 0.224115738501041\n", + "77. 0.350205760780622\n", + "78. 0.304876827612569\n", + "79. 0.262659665319758\n", + "80. 0.224645841466006\n", + "81. 0.192113660340171\n", + "82. 0.31971864459873\n", + "83. 0.257795596434798\n", + "84. 0.294583961949521\n", + "85. 0.272758123250854\n", + "86. 0.178110160500887\n", + "87. 0.317879630049497\n", + "88. 0.336137483450526\n", + "89. 0.30372084832598\n", + "90. 0.250116238050087\n", + "91. 0.25597839829623\n", + "92. 0.309571976836208\n", + "93. 0.31929955369557\n", + "94. 0.254594676916101\n", + "95. 0.280248740622216\n", + "96. 0.263680545046756\n", + "97. 0.265951224516494\n", + "98. 0.310259505751799\n", + "99. 0.129119359325847\n", + "100. 0.43613703607879\n", + "\n", + "\n", + "\n", + "76. 1. 0.181844517651459\n", + "2. 0.281993570089666\n", + "3. 0.273000742259198\n", + "4. 0.283425152250995\n", + "5. 0.292605937586852\n", + "6. 0.119820799593877\n", + "7. 0.1416354202193\n", + "8. 0.274518427837028\n", + "9. 0.208913834383581\n", + "10. 0.201750544820341\n", + "11. 0.178262021092297\n", + "12. 0.285410731603057\n", + "13. 0.230103195087354\n", + "14. 0.251022862198276\n", + "15. 0.393745269054525\n", + "16. 0.223279710582372\n", + "17. 0.379309998888982\n", + "18. 0.356562419188503\n", + "19. 0.321664726615408\n", + "20. 0.195482672204923\n", + "21. 0.366113868665789\n", + "22. 0.218522114469596\n", + "23. 0.103392811702678\n", + "24. 0.249491454320645\n", + "25. 0.11227879563091\n", + "26. 0.133494643117935\n", + "27. 0.184917293769758\n", + "28. 0.31574719149302\n", + "29. 0.230637971905741\n", + "30. 0.337509593371637\n", + "31. 0.279116244521319\n", + "32. 0.185528979598437\n", + "33. 0.244535647367742\n", + "34. 0.265933175506706\n", + "35. 0.294887458464967\n", + "36. 0.219820029582166\n", + "37. 0.262970117528973\n", + "38. 0.211720687105723\n", + "39. 0.193469541507553\n", + "40. 0.297131036110901\n", + "41. 0.337424625874771\n", + "42. 0.194946295813687\n", + "43. 0.204086682444526\n", + "44. 0.210439603033797\n", + "45. 0.134822152919245\n", + "46. 0.165362639907158\n", + "47. 0.270630758559165\n", + "48. 0.271897523655702\n", + "49. 0.203603950489243\n", + "50. 0.242828362724742\n", + "51. 0.157086217494812\n", + "52. 0.266775115705554\n", + "53. 0.287516211484022\n", + "54. 0.28204617688309\n", + "55. 0.310083032674867\n", + "56. 0.273924876957296\n", + "57. 0.155896571108106\n", + "58. 0.101396956367964\n", + "59. 0.281886284930203\n", + "60. 0.353936466631802\n", + "61. 0.290669628281008\n", + "62. 0.247417784333868\n", + "63. 0.0891607471550979\n", + "64. 0.238958326853516\n", + "65. 0.226724705797145\n", + "66. 0.127821108482838\n", + "67. 0.256887813135978\n", + "68. 0.152858892552719\n", + "69. 0.367535619614801\n", + "70. 0.380112551560972\n", + "71. 0.422545273969583\n", + "72. 0.261548164500782\n", + "73. 0.252186194968049\n", + "74. 0.221042611430771\n", + "75. 0.19292483161517\n", + "76. 0.294542806454617\n", + "77. 0.305561990008175\n", + "78. 0.29245574554607\n", + "79. 0.130262681362129\n", + "80. 0.0468917732503106\n", + "81. 0.304131931863861\n", + "82. 0.231059057017872\n", + "83. 0.358086781674669\n", + "84. 0.183392744928398\n", + "85. 0.208108681219364\n", + "86. 0.283931610495031\n", + "87. 0.275440767812674\n", + "88. 0.300370087270496\n", + "89. 0.178192978583646\n", + "90. 0.278231645170287\n", + "91. 0.384288698674561\n", + "92. 0.296245479895063\n", + "93. 0.360166757374697\n", + "94. 0.227570815185587\n", + "95. 0.105877333372906\n", + "96. 0.246073157271098\n", + "97. 0.372209894016595\n", + "98. 0.254688308307342\n", + "99. 0.205182765356743\n", + "100. 0.21194812889921\n", + "\n", + "\n", + "\n", + "77. 1. 0.417428139981088\n", + "2. 0.174006132456144\n", + "3. 0.270843503092561\n", + "4. 0.291764992144245\n", + "5. 0.184812454376638\n", + "6. 0.183426563480188\n", + "7. 0.22337777418948\n", + "8. 0.184013878826705\n", + "9. 0.234973177331232\n", + "10. 0.140539483048642\n", + "11. 0.196529133341507\n", + "12. 0.407211294782022\n", + "13. 0.240229059665642\n", + "14. 0.314768867249197\n", + "15. 0.416662091214327\n", + "16. 0.307330117974027\n", + "17. 0.252460956191284\n", + "18. 0.274581119826059\n", + "19. 0.297344785255839\n", + "20. 0.272093928613198\n", + "21. 0.18262564408861\n", + "22. 0.236674601015356\n", + "23. 0.1737854687905\n", + "24. 0.249827393322475\n", + "25. 0.433514318188653\n", + "26. 0.226014977650781\n", + "27. 0.291054051846608\n", + "28. 0.45992331586498\n", + "29. 0.472088476275039\n", + "30. 0.286256362161534\n", + "31. 0.278579927501468\n", + "32. 0.314922366918614\n", + "33. 0.176557346425125\n", + "34. 0.334977602680081\n", + "35. 0.19981666277908\n", + "36. 0.278260668517037\n", + "37. 0.376541655661633\n", + "38. 0.325228432501203\n", + "39. 0.216220955814083\n", + "40. 0.281449213309647\n", + "41. 0.290210096892264\n", + "42. 0.293288635016839\n", + "43. 0.31016874385987\n", + "44. 0.270943643649296\n", + "45. 0.327930533646626\n", + "46. 0.242813628611654\n", + "47. 0.173889326893391\n", + "48. 0.239496166976903\n", + "49. 0.346989894720409\n", + "50. 0.437295649681197\n", + "51. 0.245033166759776\n", + "52. 0.253905970043732\n", + "53. 0.338495775131814\n", + "54. 0.395410258122269\n", + "55. 0.263289340113972\n", + "56. 0.269883197934349\n", + "57. 0.418309749027927\n", + "58. 0.274078798447618\n", + "59. 0.123944773657619\n", + "60. 0.190359304113838\n", + "61. 0.195614428416121\n", + "62. 0.240616828819152\n", + "63. 0.27037356883636\n", + "64. 0.28429984602443\n", + "65. 0.259064320230833\n", + "66. 0.394220863460136\n", + "67. 0.236751066215911\n", + "68. 0.23242475475217\n", + "69. 0.19747775070213\n", + "70. 0.230069269756065\n", + "71. 0.268771147074394\n", + "72. 0.19516499422227\n", + "73. 0.345043200540971\n", + "74. 0.178591437418084\n", + "75. 0.317213424446421\n", + "76. 0.341384847020816\n", + "77. 0.21124886076649\n", + "78. 0.349450851646087\n", + "79. 0.421071710164944\n", + "80. 0.266769849298689\n", + "81. 0.320531939347259\n", + "82. 0.275023920810954\n", + "83. 0.271478621253451\n", + "84. 0.307857676214171\n", + "85. 0.333378229277609\n", + "86. 0.169708083584498\n", + "87. 0.229513985779612\n", + "88. 0.313159444413232\n", + "89. 0.139173106002951\n", + "90. 0.114635779927061\n", + "91. 0.212354291628808\n", + "92. 0.235808262492705\n", + "93. 0.295391593895559\n", + "94. 0.277837538762062\n", + "95. 0.310285750703994\n", + "96. 0.289180724737966\n", + "97. 0.326835538092061\n", + "98. 0.168847788315267\n", + "99. 0.474096644188934\n", + "100. 0.209160286667203\n", + "\n", + "\n", + "\n", + "78. 1. 0.233088013873581\n", + "2. 0.201660043491364\n", + "3. 0.199956012741643\n", + "4. 0.283047285384346\n", + "5. 0.135533359454663\n", + "6. 0.154656007644237\n", + "7. 0.315420352719653\n", + "8. 0.260170634591742\n", + "9. 0.242817738712336\n", + "10. 0.249605134819375\n", + "11. 0.134689799444985\n", + "12. 0.236999968605429\n", + "13. 0.204036753431574\n", + "14. 0.138522704301915\n", + "15. 0.254990465727107\n", + "16. 0.167242182447346\n", + "17. 0.292145171274358\n", + "18. 0.241735054423949\n", + "19. 0.245722473352815\n", + "20. 0.258881546494961\n", + "21. 0.136158746657855\n", + "22. 0.331675234872951\n", + "23. 0.122639250753158\n", + "24. 0.274614886853996\n", + "25. 0.261102151416363\n", + "26. 0.198330610576872\n", + "27. 0.197007577680007\n", + "28. 0.210471292160907\n", + "29. 0.147022225603938\n", + "30. 0.395692437609187\n", + "31. 0.215339073903493\n", + "32. 0.21480590814977\n", + "33. 0.237766241738941\n", + "34. 0.231000813329893\n", + "35. 0.331062712618266\n", + "36. 0.235450345609399\n", + "37. 0.119106222361266\n", + "38. 0.200165311777299\n", + "39. 0.267505914968748\n", + "40. 0.0754532238470563\n", + "41. 0.287378466969493\n", + "42. 0.171047532518652\n", + "43. 0.14377009592923\n", + "44. 0.202709860983719\n", + "45. 0.197311246994507\n", + "46. 0.209966417222431\n", + "47. 0.187658882943344\n", + "48. 0.342126238117055\n", + "49. 0.14115237106374\n", + "50. 0.367446816854853\n", + "51. 0.264976682384528\n", + "52. 0.304124307901976\n", + "53. 0.166491023838626\n", + "54. 0.158041439537573\n", + "55. 0.257511877828771\n", + "56. 0.16167703305385\n", + "57. 0.197221950389315\n", + "58. 0.224767316418206\n", + "59. 0.223002681287158\n", + "60. 0.187680857331601\n", + "61. 0.199999388136449\n", + "62. 0.210190054230203\n", + "63. 0.276284896162682\n", + "64. 0.364405217519777\n", + "65. 0.164989372313936\n", + "66. 0.290744288921271\n", + "67. 0.172921337710275\n", + "68. 0.286784979771048\n", + "69. 0.199653367342237\n", + "70. 0.218274210414277\n", + "71. 0.0919748102010983\n", + "72. 0.204342457690493\n", + "73. 0.27239560547781\n", + "74. 0.170393535002938\n", + "75. 0.333097037856093\n", + "76. 0.222360124959766\n", + "77. 0.236668862804253\n", + "78. 0.236703123867647\n", + "79. 0.158856937757052\n", + "80. 0.218341079876646\n", + "81. 0.218551967900574\n", + "82. 0.269651944745877\n", + "83. 0.360755249248124\n", + "84. 0.152770200253047\n", + "85. 0.255039245240351\n", + "86. 0.283485749372937\n", + "87. 0.196623093289031\n", + "88. 0.192691175559\n", + "89. 0.178084378181022\n", + "90. 0.11249631991471\n", + "91. 0.203253984610999\n", + "92. 0.257562567405592\n", + "93. 0.193825907866756\n", + "94. 0.219728186901842\n", + "95. 0.250661859548762\n", + "96. 0.269010313521587\n", + "97. 0.219146941054519\n", + "98. 0.18305889223939\n", + "99. 0.220328556608396\n", + "100. 0.169087552211808\n", + "\n", + "\n", + "\n", + "79. 1. 0.393863501157762\n", + "2. 0.297871701089679\n", + "3. 0.337820283394317\n", + "4. 0.436246001142731\n", + "5. 0.181892337611118\n", + "6. 0.344299663706143\n", + "7. 0.287167993704836\n", + "8. 0.336526813305919\n", + "9. 0.415421989013465\n", + "10. 0.198207337294693\n", + "11. 0.221129445548852\n", + "12. 0.342511069930806\n", + "13. 0.177796608592232\n", + "14. 0.211980040515919\n", + "15. 0.348315076363332\n", + "16. 0.422759397421954\n", + "17. 0.352529123682796\n", + "18. 0.388327315463833\n", + "19. 0.234326523551222\n", + "20. 0.400496463572224\n", + "21. 0.341804224395946\n", + "22. 0.353907414515809\n", + "23. 0.389938720712984\n", + "24. 0.408377437624993\n", + "25. 0.277511342222557\n", + "26. 0.313730928526663\n", + "27. 0.379170562657208\n", + "28. 0.313211294359937\n", + "29. 0.290399893765918\n", + "30. 0.304655711966612\n", + "31. 0.140431108954925\n", + "32. 0.37853543759174\n", + "33. 0.266887249549711\n", + "34. 0.330526646312555\n", + "35. 0.341464699682667\n", + "36. 0.273533201950843\n", + "37. 0.177822552878182\n", + "38. 0.418071842048993\n", + "39. 0.246857576857717\n", + "40. 0.185689799584469\n", + "41. 0.158264184357313\n", + "42. 0.26591173122648\n", + "43. 0.313321913930477\n", + "44. 0.400528630801805\n", + "45. 0.158527531821205\n", + "46. 0.308370939800054\n", + "47. 0.181689774345736\n", + "48. 0.271747395477678\n", + "49. 0.378795510716737\n", + "50. 0.216424337137932\n", + "51. 0.340081650320483\n", + "52. 0.317943739496937\n", + "53. 0.369806232780103\n", + "54. 0.240784228140946\n", + "55. 0.404039249545206\n", + "56. 0.153579037079112\n", + "57. 0.399727939770459\n", + "58. 0.318241938190536\n", + "59. 0.127839212421335\n", + "60. 0.524859593816099\n", + "61. 0.25750221813915\n", + "62. 0.344854347132644\n", + "63. 0.35141902140298\n", + "64. 0.25202915625017\n", + "65. 0.339922235104643\n", + "66. 0.220615198126264\n", + "67. 0.372012667891761\n", + "68. 0.164082455859851\n", + "69. 0.371141413084694\n", + "70. 0.100891961435812\n", + "71. 0.368462328998752\n", + "72. 0.2618651020718\n", + "73. 0.319408120741844\n", + "74. 0.214194205451444\n", + "75. 0.0909424491120728\n", + "76. 0.267139129832698\n", + "77. 0.149238328755671\n", + "78. 0.357737548860587\n", + "79. 0.352896567778976\n", + "80. 0.383829367762762\n", + "81. 0.176386384423304\n", + "82. 0.283559896476314\n", + "83. 0.398636033786961\n", + "84. 0.181003743013709\n", + "85. 0.42378561310543\n", + "86. 0.276721491566796\n", + "87. 0.200125498242667\n", + "88. 0.370930227522934\n", + "89. 0.258689102138521\n", + "90. 0.299359004377397\n", + "91. 0.319794509222464\n", + "92. 0.148875953235905\n", + "93. 0.255320958995424\n", + "94. 0.322694639022193\n", + "95. 0.354721224548555\n", + "96. 0.28870361024795\n", + "97. 0.32416853959627\n", + "98. 0.234924967652547\n", + "99. 0.373320123019098\n", + "100. 0.279944229153814\n", + "\n", + "\n", + "\n", + "80. 1. 0.332094052715957\n", + "2. 0.38459339128965\n", + "3. 0.257790727274016\n", + "4. 0.429031869309229\n", + "5. 0.293391175751635\n", + "6. 0.517728485428523\n", + "7. 0.459536473162474\n", + "8. 0.368849410330185\n", + "9. 0.398180472391755\n", + "10. 0.196005924623202\n", + "11. 0.383686718869268\n", + "12. 0.314063339424164\n", + "13. 0.250366806140339\n", + "14. 0.226269053120348\n", + "15. 0.252287851752192\n", + "16. 0.229864460536448\n", + "17. 0.227105727270748\n", + "18. 0.430781412672353\n", + "19. 0.250704437404843\n", + "20. 0.281955621584668\n", + "21. 0.348429254968843\n", + "22. 0.193561675202305\n", + "23. 0.420168429210769\n", + "24. 0.432606837455864\n", + "25. 0.330117109250537\n", + "26. 0.326964750450783\n", + "27. 0.33757885381746\n", + "28. 0.284721558826008\n", + "29. 0.208736823311629\n", + "30. 0.183210366757552\n", + "31. 0.248473169794706\n", + "32. 0.394265069630003\n", + "33. 0.219736170953839\n", + "34. 0.255676083227824\n", + "35. 0.348283388737671\n", + "36. 0.375635125736225\n", + "37. 0.351353722484705\n", + "38. 0.504221220972763\n", + "39. 0.426185765977294\n", + "40. 0.407151286934365\n", + "41. 0.315680578760205\n", + "42. 0.310665242412491\n", + "43. 0.306666517642329\n", + "44. 0.438310122193884\n", + "45. 0.276017408939042\n", + "46. 0.209987475642999\n", + "47. 0.270953481769242\n", + "48. 0.28018615882651\n", + "49. 0.231650757547992\n", + "50. 0.175270680690561\n", + "51. 0.260367685343936\n", + "52. 0.20977303390689\n", + "53. 0.2675175209654\n", + "54. 0.316232783562894\n", + "55. 0.440317957264721\n", + "56. 0.380525376016376\n", + "57. 0.421790306403328\n", + "58. 0.224991617380858\n", + "59. 0.171838991407413\n", + "60. 0.337164757606371\n", + "61. 0.322785065435542\n", + "62. 0.438041544227693\n", + "63. 0.276777020224546\n", + "64. 0.484852369492828\n", + "65. 0.244419696602834\n", + "66. 0.147270333980508\n", + "67. 0.289123967581485\n", + "68. 0.356404629354403\n", + "69. 0.165713441702805\n", + "70. 0.411344977941313\n", + "71. 0.311000161185839\n", + "72. 0.129407771395951\n", + "73. 0.312077668723457\n", + "74. 0.301128231889547\n", + "75. 0.302896089944366\n", + "76. 0.390135742236613\n", + "77. 0.372631131884289\n", + "78. 0.260366991694118\n", + "79. 0.371811482451608\n", + "80. 0.31818510375338\n", + "81. 0.370538158188213\n", + "82. 0.260411113287534\n", + "83. 0.161850381559451\n", + "84. 0.352157736561163\n", + "85. 0.405044555786461\n", + "86. 0.39725207928276\n", + "87. 0.192664587249384\n", + "88. 0.264847797901889\n", + "89. 0.292477369868621\n", + "90. 0.372144216292336\n", + "91. 0.239246698860756\n", + "92. 0.455447055596159\n", + "93. 0.472702406132539\n", + "94. 0.274266180163881\n", + "95. 0.460593229518649\n", + "96. 0.256504830882852\n", + "97. 0.258622205454278\n", + "98. 0.211282720727456\n", + "99. 0.273901035535914\n", + "100. 0.404573989749531\n", + "\n", + "\n", + "\n", + "81. 1. 0.324886659465855\n", + "2. 0.406992070910554\n", + "3. 0.410421184686526\n", + "4. 0.225293544794122\n", + "5. 0.37976908686233\n", + "6. 0.252638157980558\n", + "7. 0.248134480995439\n", + "8. 0.312558149404987\n", + "9. 0.47334229318646\n", + "10. 0.170039644185123\n", + "11. 0.219707589459376\n", + "12. 0.394946234968008\n", + "13. 0.425533710288862\n", + "14. 0.351705328330736\n", + "15. 0.266488118405278\n", + "16. 0.219256111878091\n", + "17. 0.249592472396185\n", + "18. 0.227109214832114\n", + "19. 0.231126846630639\n", + "20. 0.267511312623457\n", + "21. 0.451807779770882\n", + "22. 0.301991332369832\n", + "23. 0.270605613494991\n", + "24. 0.131417721256157\n", + "25. 0.315527221926289\n", + "26. 0.116265124603797\n", + "27. 0.309900696364287\n", + "28. 0.276053185239376\n", + "29. 0.310669496261476\n", + "30. 0.18800005842067\n", + "31. 0.264611997518171\n", + "32. 0.179115804413295\n", + "33. 0.37435850058059\n", + "34. 0.327278618938178\n", + "35. 0.361577567030091\n", + "36. 0.20134440053121\n", + "37. 0.307438651581005\n", + "38. 0.101234582797667\n", + "39. 0.411672342343544\n", + "40. 0.327093432628097\n", + "41. 0.244240440811977\n", + "42. 0.360192584461405\n", + "43. 0.183900207937564\n", + "44. 0.276664887566834\n", + "45. 0.390174986881815\n", + "46. 0.220058145435218\n", + "47. 0.395646605066006\n", + "48. 0.277196714930863\n", + "49. 0.467252181810459\n", + "50. 0.258776860230322\n", + "51. 0.0954824650250838\n", + "52. 0.0941300069196893\n", + "53. 0.282900855923415\n", + "54. 0.178049331179771\n", + "55. 0.385375341260615\n", + "56. 0.339407235570559\n", + "57. 0.309336850008251\n", + "58. 0.316465557021142\n", + "59. 0.281829338871636\n", + "60. 0.232958026925668\n", + "61. 0.365490621047744\n", + "62. 0.351511030884661\n", + "63. 0.365444996477281\n", + "64. 0.398103473833966\n", + "65. 0.213163861020901\n", + "66. 0.29302791113003\n", + "67. 0.280577056403003\n", + "68. 0.390032439499356\n", + "69. 0.350183626841835\n", + "70. 0.376555205481408\n", + "71. 0.157677599264355\n", + "72. 0.279911391163092\n", + "73. 0.144676472419895\n", + "74. 0.271616941020686\n", + "75. 0.290868728798419\n", + "76. 0.40353554163585\n", + "77. 0.0950883690995745\n", + "78. 0.210311999651723\n", + "79. 0.234174884332271\n", + "80. 0.181696379123222\n", + "81. 0.26396344220863\n", + "82. 0.160296691346422\n", + "83. 0.351499829651468\n", + "84. 0.326763930501342\n", + "85. 0.349400915523171\n", + "86. 0.313360325062167\n", + "87. 0.285033900445681\n", + "88. 0.345863436479808\n", + "89. 0.301094838303606\n", + "90. 0.367286550889255\n", + "91. 0.391163523190218\n", + "92. 0.273193095322889\n", + "93. 0.259423657404909\n", + "94. 0.173425869877843\n", + "95. 0.242351184509777\n", + "96. 0.318691466825827\n", + "97. 0.297516297410021\n", + "98. 0.295048661183576\n", + "99. 0.150690745759296\n", + "100. 0.211587877279169\n", + "\n", + "\n", + "\n", + "82. 1. 0.370708598080032\n", + "2. 0.178799797805531\n", + "3. 0.183773153534862\n", + "4. 0.374489570694495\n", + "5. 0.255763132759401\n", + "6. 0.234056031442083\n", + "7. 0.288049611719215\n", + "8. 0.273920198829169\n", + "9. 0.367890338421532\n", + "10. 0.296316600234512\n", + "11. 0.236080521333803\n", + "12. 0.195193106696145\n", + "13. 0.292009070509115\n", + "14. 0.274568371050966\n", + "15. 0.185724318656489\n", + "16. 0.450634118073178\n", + "17. 0.281574921648685\n", + "18. 0.290826026808897\n", + "19. 0.199052164236997\n", + "20. 0.309841955935421\n", + "21. 0.290261485148646\n", + "22. 0.357196419984881\n", + "23. 0.187209457999595\n", + "24. 0.399425969775074\n", + "25. 0.34768677379568\n", + "26. 0.380813742112539\n", + "27. 0.311654937583673\n", + "28. 0.295965823159187\n", + "29. 0.366778594689628\n", + "30. 0.330405140034284\n", + "31. 0.307069212573278\n", + "32. 0.25488167927238\n", + "33. 0.22866377037818\n", + "34. 0.311122769851216\n", + "35. 0.159590449678469\n", + "36. 0.126174128462461\n", + "37. 0.336198687089353\n", + "38. 0.177259093553216\n", + "39. 0.299709416267021\n", + "40. 0.242953451619538\n", + "41. 0.185637165740092\n", + "42. 0.138927203421678\n", + "43. 0.375097807793825\n", + "44. 0.320320241290937\n", + "45. 0.336312164744381\n", + "46. 0.436842392821616\n", + "47. 0.31225893766212\n", + "48. 0.157831396412195\n", + "49. 0.136235438921579\n", + "50. 0.363046516267496\n", + "51. 0.253737245937679\n", + "52. 0.211157424067052\n", + "53. 0.390423472397378\n", + "54. 0.32547746454755\n", + "55. 0.267351321145354\n", + "56. 0.253844797199875\n", + "57. 0.117210157282305\n", + "58. 0.345639618026518\n", + "59. 0.32090472515261\n", + "60. 0.3815000088839\n", + "61. 0.30008405772251\n", + "62. 0.307587881885152\n", + "63. 0.364406502717354\n", + "64. 0.348823594049645\n", + "65. 0.242200902978348\n", + "66. 0.3373648323614\n", + "67. 0.252769617388977\n", + "68. 0.226798004861141\n", + "69. 0.218909782938336\n", + "70. 0.309188314503881\n", + "71. 0.201241381825896\n", + "72. 0.366628629474554\n", + "73. 0.195976565604624\n", + "74. 0.276914238126956\n", + "75. 0.280250956944628\n", + "76. 0.342718874086175\n", + "77. 0.300187063822915\n", + "78. 0.323913366988501\n", + "79. 0.19384561969623\n", + "80. 0.239527929142778\n", + "81. 0.405433224468348\n", + "82. 0.276070876132097\n", + "83. 0.344827145381863\n", + "84. 0.273814876575377\n", + "85. 0.296761896209209\n", + "86. 0.30463446998812\n", + "87. 0.332942582558952\n", + "88. 0.351933467325804\n", + "89. 0.201583049083599\n", + "90. 0.303398768130819\n", + "91. 0.34660370223661\n", + "92. 0.13016229683115\n", + "93. 0.183415405580014\n", + "94. 0.497298502828086\n", + "95. 0.442324725866373\n", + "96. 0.30892025451515\n", + "97. 0.354306687348965\n", + "98. 0.300160506260149\n", + "99. 0.269190250521237\n", + "100. 0.395452354450928\n", + "\n", + "\n", + "\n", + "83. 1. 0.331349106897655\n", + "2. 0.193206482046385\n", + "3. 0.352607086582242\n", + "4. 0.287875329578591\n", + "5. 0.235686392362555\n", + "6. 0.312911524749849\n", + "7. 0.222363801593408\n", + "8. 0.317845237730952\n", + "9. 0.424975037842138\n", + "10. 0.311271575399169\n", + "11. 0.169176128547837\n", + "12. 0.208355945569871\n", + "13. 0.306832024319176\n", + "14. 0.273483153161196\n", + "15. 0.181085927760216\n", + "16. 0.31186740150702\n", + "17. 0.171447161390544\n", + "18. 0.257315961741083\n", + "19. 0.264205175558327\n", + "20. 0.419327434335237\n", + "21. 0.324152756730539\n", + "22. 0.131105594367587\n", + "23. 0.298796058849033\n", + "24. 0.388409197444241\n", + "25. 0.334745069524974\n", + "26. 0.102940503658481\n", + "27. 0.0884187599732586\n", + "28. 0.217919304722522\n", + "29. 0.365188343621737\n", + "30. 0.178795931150322\n", + "31. 0.392022059156995\n", + "32. 0.298628591061981\n", + "33. 0.255266911623871\n", + "34. 0.268902979682608\n", + "35. 0.228510826448985\n", + "36. 0.290006562944421\n", + "37. 0.28487753981115\n", + "38. 0.241012049305086\n", + "39. 0.308246190114805\n", + "40. 0.272670271410493\n", + "41. 0.274055264267124\n", + "42. 0.322776000266429\n", + "43. 0.441729702645671\n", + "44. 0.161248866177967\n", + "45. 0.295177938660128\n", + "46. 0.345694143377109\n", + "47. 0.286372304592337\n", + "48. 0.354822562050024\n", + "49. 0.208897210371959\n", + "50. 0.297404072187569\n", + "51. 0.205198990131866\n", + "52. 0.153611320029215\n", + "53. 0.312722900695584\n", + "54. 0.182648140478649\n", + "55. 0.12145447580509\n", + "56. 0.291018704707156\n", + "57. 0.158189138959561\n", + "58. 0.250836415249212\n", + "59. 0.312321345627764\n", + "60. 0.231124749808502\n", + "61. 0.247973826294419\n", + "62. 0.164324336635726\n", + "63. 0.114647519222729\n", + "64. 0.351139494974118\n", + "65. 0.346454008101382\n", + "66. 0.368000284798704\n", + "67. 0.264989903747934\n", + "68. 0.167932221900513\n", + "69. 0.169731225457074\n", + "70. 0.309011789252755\n", + "71. 0.330261916049216\n", + "72. 0.358467375044829\n", + "73. 0.177723599417606\n", + "74. 0.271394952011462\n", + "75. 0.433075000966365\n", + "76. 0.133539472260102\n", + "77. 0.292046002010255\n", + "78. 0.325494689812776\n", + "79. 0.181714503375042\n", + "80. 0.207301893982436\n", + "81. 0.29048436955201\n", + "82. 0.166761791984206\n", + "83. 0.371446535462089\n", + "84. 0.35959818798824\n", + "85. 0.330983503851952\n", + "86. 0.235204561462817\n", + "87. 0.226555229022301\n", + "88. 0.259665706044857\n", + "89. 0.3342711929422\n", + "90. 0.325507357561984\n", + "91. 0.125723747997091\n", + "92. 0.242458178081336\n", + "93. 0.528902755243746\n", + "94. 0.340749567558354\n", + "95. 0.31311417010904\n", + "96. 0.274003309637312\n", + "97. 0.29758597567883\n", + "98. 0.192316000999566\n", + "99. 0.423913024860957\n", + "100. 0.0944356124587745\n", + "\n", + "\n", + "\n", + "84. 1. 0.244979358657122\n", + "2. 0.0948999374739801\n", + "3. 0.251578228842645\n", + "4. 0.249667552665859\n", + "5. 0.288974269154267\n", + "6. 0.213469601411855\n", + "7. 0.20140942178416\n", + "8. 0.38901600784135\n", + "9. 0.326939223594339\n", + "10. 0.229814262140229\n", + "11. 0.318327386442776\n", + "12. 0.279757229718534\n", + "13. 0.27617282483111\n", + "14. 0.358883727949631\n", + "15. 0.392854469523849\n", + "16. 0.229494326687697\n", + "17. 0.344961088138146\n", + "18. 0.326959112295921\n", + "19. 0.2841970928827\n", + "20. 0.258168131705379\n", + "21. 0.245718790346277\n", + "22. 0.378273921836627\n", + "23. 0.224570103660078\n", + "24. 0.249665782260479\n", + "25. 0.311249216976197\n", + "26. 0.215291559642569\n", + "27. 0.332660534427181\n", + "28. 0.336375913337537\n", + "29. 0.280483653231076\n", + "30. 0.323978862159999\n", + "31. 0.197848351311263\n", + "32. 0.322119673689862\n", + "33. 0.236534332870561\n", + "34. 0.283837845232171\n", + "35. 0.353875856690734\n", + "36. 0.199595416876576\n", + "37. 0.363444088080126\n", + "38. 0.2705142446258\n", + "39. 0.304485593105924\n", + "40. 0.294918195558659\n", + "41. 0.356181969654215\n", + "42. 0.233694459753665\n", + "43. 0.189034922846757\n", + "44. 0.301445899075546\n", + "45. 0.280562490433872\n", + "46. 0.30226865594029\n", + "47. 0.237049274291033\n", + "48. 0.269866360881481\n", + "49. 0.300932437400468\n", + "50. 0.286655046943509\n", + "51. 0.293264497601855\n", + "52. 0.306363629491001\n", + "53. 0.260895916438741\n", + "54. 0.264620853579156\n", + "55. 0.261187099983147\n", + "56. 0.308829356334762\n", + "57. 0.29467201437366\n", + "58. 0.279696237565325\n", + "59. 0.229263908061672\n", + "60. 0.252214537134172\n", + "61. 0.289596054064846\n", + "62. 0.339751168512726\n", + "63. 0.191837665559828\n", + "64. 0.172399021878743\n", + "65. 0.288037549442436\n", + "66. 0.280965196040492\n", + "67. 0.379634694981935\n", + "68. 0.350313448627821\n", + "69. 0.268969264442324\n", + "70. 0.291558436338441\n", + "71. 0.224888558928751\n", + "72. 0.324927875410787\n", + "73. 0.208720653694351\n", + "74. 0.269757840379364\n", + "75. 0.20668637834821\n", + "76. 0.422182342862277\n", + "77. 0.139949129659473\n", + "78. 0.207908295656543\n", + "79. 0.32880517972402\n", + "80. 0.338965232093753\n", + "81. 0.313806927405908\n", + "82. 0.311092801987128\n", + "83. 0.342908721766759\n", + "84. 0.172932395830411\n", + "85. 0.285635304827457\n", + "86. 0.288211800675467\n", + "87. 0.281480754570623\n", + "88. 0.283927329246563\n", + "89. 0.303964983490144\n", + "90. 0.246285459227315\n", + "91. 0.247409046327145\n", + "92. 0.293095000966431\n", + "93. 0.292117669878465\n", + "94. 0.256508253525646\n", + "95. 0.139986293237004\n", + "96. 0.318678135547664\n", + "97. 0.318667484560486\n", + "98. 0.281822470741504\n", + "99. 0.229343310639206\n", + "100. 0.318954804643264\n", + "\n", + "\n", + "\n", + "85. 1. 0.196851519320353\n", + "2. 0.27927997059011\n", + "3. 0.263431754422656\n", + "4. 0.163315690007461\n", + "5. 0.27877019902343\n", + "6. 0.252329252672697\n", + "7. 0.283973306529719\n", + "8. 0.347057942065369\n", + "9. 0.389120816772467\n", + "10. 0.253700889871336\n", + "11. 0.353176911787104\n", + "12. 0.284724546751075\n", + "13. 0.290322865560699\n", + "14. 0.37464896595684\n", + "15. 0.0882009339808019\n", + "16. 0.238329276151835\n", + "17. 0.266958485759229\n", + "18. 0.175186887293252\n", + "19. 0.242856139738777\n", + "20. 0.31463110967958\n", + "21. 0.266596549396969\n", + "22. 0.290538712564051\n", + "23. 0.378100285409597\n", + "24. 0.189242113174111\n", + "25. 0.448497842552261\n", + "26. 0.207535747079596\n", + "27. 0.39697827563997\n", + "28. 0.190336626796742\n", + "29. 0.322050292999951\n", + "30. 0.222384200696703\n", + "31. 0.412259139467663\n", + "32. 0.346794468702853\n", + "33. 0.363877691952598\n", + "34. 0.244132843892985\n", + "35. 0.409633964505011\n", + "36. 0.20348143585657\n", + "37. 0.317444659949795\n", + "38. 0.214167114502841\n", + "39. 0.321359895811954\n", + "40. 0.323327975468279\n", + "41. 0.254766041280374\n", + "42. 0.322660120750269\n", + "43. 0.3084291507042\n", + "44. 0.318029243498686\n", + "45. 0.300490416597633\n", + "46. 0.360526793460859\n", + "47. 0.372466022261692\n", + "48. 0.319224044484375\n", + "49. 0.356182820446192\n", + "50. 0.145410790961727\n", + "51. 0.421268438664529\n", + "52. 0.307310936459784\n", + "53. 0.180732974985658\n", + "54. 0.3542141215105\n", + "55. 0.148701539368684\n", + "56. 0.23768821509554\n", + "57. 0.234754930835264\n", + "58. 0.230259252800343\n", + "59. 0.338038466048049\n", + "60. 0.198184457766489\n", + "61. 0.278284476384618\n", + "62. 0.372775065901618\n", + "63. 0.199004087290083\n", + "64. 0.300270435844717\n", + "65. 0.428636030949951\n", + "66. 0.230165252654789\n", + "67. 0.246155607125876\n", + "68. 0.287435451324133\n", + "69. 0.311832192402925\n", + "70. 0.31284394693899\n", + "71. 0.248927510752827\n", + "72. 0.294591797032877\n", + "73. 0.328397355871127\n", + "74. 0.372854087086518\n", + "75. 0.302333223606234\n", + "76. 0.269026439400599\n", + "77. 0.140268751996332\n", + "78. 0.151268855082756\n", + "79. 0.179053199019901\n", + "80. 0.309450070517857\n", + "81. 0.334545518425933\n", + "82. 0.246560704332715\n", + "83. 0.247526897076038\n", + "84. 0.343107794561093\n", + "85. 0.221654824486232\n", + "86. 0.363755663735867\n", + "87. 0.319487917856787\n", + "88. 0.420994609051991\n", + "89. 0.23180595089783\n", + "90. 0.221454320144416\n", + "91. 0.248984377018934\n", + "92. 0.344140126226316\n", + "93. 0.39681562487821\n", + "94. 0.344595201779217\n", + "95. 0.1322100781294\n", + "96. 0.363505454088053\n", + "97. 0.143065965633568\n", + "98. 0.396721872445415\n", + "99. 0.230422559036844\n", + "100. 0.144238888869237\n", + "\n", + "\n", + "\n", + "86. 1. 0.421635183373581\n", + "2. 0.166096729895741\n", + "3. 0.169377473609618\n", + "4. 0.205894848417186\n", + "5. 0.171528811672173\n", + "6. 0.233715959795706\n", + "7. 0.275421004550705\n", + "8. 0.0805377298822702\n", + "9. 0.297434284218337\n", + "10. 0.15848748917125\n", + "11. 0.302945350800083\n", + "12. 0.245223957992799\n", + "13. 0.264625960427132\n", + "14. 0.241649311259129\n", + "15. 0.29028913251543\n", + "16. 0.229761562390336\n", + "17. 0.255768958164464\n", + "18. 0.100760465584538\n", + "19. 0.1895530928574\n", + "20. 0.312659739480667\n", + "21. 0.274229565034957\n", + "22. 0.261948384825757\n", + "23. 0.238708242456207\n", + "24. 0.323190360839755\n", + "25. 0.348823245078644\n", + "26. 0.254806508886571\n", + "27. 0.248515710491961\n", + "28. 0.238085950202133\n", + "29. 0.24513801002362\n", + "30. 0.259361273580367\n", + "31. 0.136679440547296\n", + "32. 0.135039674783136\n", + "33. 0.129817525738053\n", + "34. 0.331950791204113\n", + "35. 0.350075499634443\n", + "36. 0.219452618069452\n", + "37. 0.268149282082247\n", + "38. 0.121033050662711\n", + "39. 0.168663591074357\n", + "40. 0.276626875900504\n", + "41. 0.212386254847358\n", + "42. 0.210580937172676\n", + "43. 0.36310319284285\n", + "44. 0.205690269862955\n", + "45. 0.0941768604702436\n", + "46. 0.201998214814862\n", + "47. 0.223785561309569\n", + "48. 0.152922310074616\n", + "49. 0.320696798772257\n", + "50. 0.263891099162227\n", + "51. 0.0855379414541781\n", + "52. 0.28398302919772\n", + "53. 0.0812582762302142\n", + "54. 0.153925579122687\n", + "55. 0.0771184156509452\n", + "56. 0.117203496252674\n", + "57. 0.24872414123639\n", + "58. 0.19875293616229\n", + "59. 0.136580083943768\n", + "60. 0.153747952166329\n", + "61. 0.292564721400047\n", + "62. 0.318862350370779\n", + "63. 0.243366425748891\n", + "64. 0.191263288820801\n", + "65. 0.278471593204903\n", + "66. 0.293736848119673\n", + "67. 0.321328622459867\n", + "68. 0.245395609236038\n", + "69. 0.321027408982259\n", + "70. 0.182842431398013\n", + "71. 0.325365352704107\n", + "72. 0.410485905268878\n", + "73. 0.210519075372788\n", + "74. 0.205923700161665\n", + "75. 0.246894129854056\n", + "76. 0.0898707821463425\n", + "77. 0.179591492745708\n", + "78. 0.244965912847658\n", + "79. 0.335758829520783\n", + "80. 0.354836274821408\n", + "81. 0.244270301662192\n", + "82. 0.151553526418555\n", + "83. 0.261985584535811\n", + "84. 0.276269480302258\n", + "85. 0.210993597676478\n", + "86. 0.289049693608857\n", + "87. 0.215100618038363\n", + "88. 0.172825073467665\n", + "89. 0.219238877681694\n", + "90. 0.392727452439966\n", + "91. 0.282638494841056\n", + "92. 0.270182512736896\n", + "93. 0.218739081927083\n", + "94. 0.259012492802889\n", + "95. 0.279767280518718\n", + "96. 0.253792342404725\n", + "97. 0.334299929997907\n", + "98. 0.155763985064853\n", + "99. 0.220906120260214\n", + "100. 0.279945444068635\n", + "\n", + "\n", + "\n", + "87. 1. 0.257258248426455\n", + "2. 0.222914018434036\n", + "3. 0.158728540488583\n", + "4. 0.24577959183366\n", + "5. 0.389483982387788\n", + "6. 0.165700668544317\n", + "7. 0.174991331860608\n", + "8. 0.175604047877581\n", + "9. 0.159400871059644\n", + "10. 0.131420247715403\n", + "11. 0.205625085919131\n", + "12. 0.194382438980421\n", + "13. 0.220861632974336\n", + "14. 0.200372287501229\n", + "15. 0.217510842484294\n", + "16. 0.242936183381174\n", + "17. 0.160584541427061\n", + "18. 0.184654303851185\n", + "19. 0.239221899971246\n", + "20. 0.107137856489892\n", + "21. 0.207347357582062\n", + "22. 0.122107704816658\n", + "23. 0.201569789135807\n", + "24. 0.135285436875131\n", + "25. 0.144447213078966\n", + "26. 0.1940948181508\n", + "27. 0.105558824433904\n", + "28. 0.16793121288173\n", + "29. 0.187701684244883\n", + "30. 0.1517781385962\n", + "31. 0.251063817939802\n", + "32. 0.233313955901201\n", + "33. 0.18985588607657\n", + "34. 0.197699967098263\n", + "35. 0.185241931458102\n", + "36. 0.2856676686984\n", + "37. 0.194358116438783\n", + "38. 0.202565428270837\n", + "39. 0.234007182937941\n", + "40. 0.245717229367596\n", + "41. 0.294703267737771\n", + "42. 0.206044782498684\n", + "43. 0.330564065457656\n", + "44. 0.272853524384936\n", + "45. 0.122773125545744\n", + "46. 0.218202287805546\n", + "47. 0.228085717547745\n", + "48. 0.17392845542831\n", + "49. 0.159253857045582\n", + "50. 0.168206163487045\n", + "51. 0.224948041176812\n", + "52. 0.134044414768105\n", + "53. 0.269609445668343\n", + "54. 0.129269606199571\n", + "55. 0.206148348830374\n", + "56. 0.256936040001196\n", + "57. 0.113274396940961\n", + "58. 0.226938802119389\n", + "59. 0.167977096957783\n", + "60. 0.168197423016872\n", + "61. 0.214661707312387\n", + "62. 0.231726412938123\n", + "63. 0.0880383900382884\n", + "64. 0.338633638058686\n", + "65. 0.325508847990115\n", + "66. 0.164192130457134\n", + "67. 0.228240692209533\n", + "68. 0.210058367549284\n", + "69. 0.219290196598338\n", + "70. 0.178681774777737\n", + "71. 0.134934636490689\n", + "72. 0.194330336098798\n", + "73. 0.257134424257324\n", + "74. 0.266660144438031\n", + "75. 0.0955162805372619\n", + "76. 0.233705771995223\n", + "77. 0.218720865206951\n", + "78. 0.149401236928804\n", + "79. 0.319178494719881\n", + "80. 0.100589846249008\n", + "81. 0.378260191396205\n", + "82. 0.20420967020071\n", + "83. 0.19076166658183\n", + "84. 0.285115563961165\n", + "85. 0.19857155333186\n", + "86. 0.218135859040543\n", + "87. 0.135197103574843\n", + "88. 0.0949249454866092\n", + "89. 0.215287377298089\n", + "90. 0.176626407964224\n", + "91. 0.21236584937486\n", + "92. 0.238328023504547\n", + "93. 0.15311176060905\n", + "94. 0.202724587699465\n", + "95. 0.166684795656399\n", + "96. 0.214638288894393\n", + "97. 0.142914215225979\n", + "98. 0.22385751118567\n", + "99. 0.102826147772074\n", + "100. 0.270552028164813\n", + "\n", + "\n", + "\n", + "88. 1. 0.2278250286913\n", + "2. 0.388262606185008\n", + "3. 0.158229164583231\n", + "4. 0.257674841821399\n", + "5. 0.17418298210114\n", + "6. 0.31227986864744\n", + "7. 0.254773176321177\n", + "8. 0.193603783166025\n", + "9. 0.354293887376826\n", + "10. 0.255541359255184\n", + "11. 0.301529711473977\n", + "12. 0.322596939878699\n", + "13. 0.258448365437261\n", + "14. 0.191643151043897\n", + "15. 0.158641399624221\n", + "16. 0.388854898199363\n", + "17. 0.231640864515129\n", + "18. 0.243850475099965\n", + "19. 0.238645158920034\n", + "20. 0.329681956349389\n", + "21. 0.283623141564203\n", + "22. 0.435891870500998\n", + "23. 0.34049770984922\n", + "24. 0.213201802796579\n", + "25. 0.274740514771302\n", + "26. 0.215997430966853\n", + "27. 0.266754908799908\n", + "28. 0.24326552605608\n", + "29. 0.167008791704146\n", + "30. 0.323626383610208\n", + "31. 0.188808813433467\n", + "32. 0.170248319094747\n", + "33. 0.319906904743469\n", + "34. 0.321373687960368\n", + "35. 0.224399160966762\n", + "36. 0.220822351830805\n", + "37. 0.290256980145927\n", + "38. 0.211477746291445\n", + "39. 0.271107269050894\n", + "40. 0.209177890920856\n", + "41. 0.271174898105709\n", + "42. 0.206528950177329\n", + "43. 0.29360235935472\n", + "44. 0.269008830016646\n", + "45. 0.335288165843755\n", + "46. 0.261340927317454\n", + "47. 0.218159116629105\n", + "48. 0.279496641675554\n", + "49. 0.18808816112981\n", + "50. 0.278400369130299\n", + "51. 0.277215912375403\n", + "52. 0.135158526417255\n", + "53. 0.42454813221739\n", + "54. 0.270101895944494\n", + "55. 0.415714518377734\n", + "56. 0.36370646054648\n", + "57. 0.151710131588268\n", + "58. 0.269141657025257\n", + "59. 0.294647389241556\n", + "60. 0.278375856193559\n", + "61. 0.189819022056283\n", + "62. 0.272071698267136\n", + "63. 0.284893697017373\n", + "64. 0.323895857051797\n", + "65. 0.187682364609043\n", + "66. 0.243002864448369\n", + "67. 0.439299188476549\n", + "68. 0.293392747643421\n", + "69. 0.384824415999675\n", + "70. 0.26620383712621\n", + "71. 0.204044769326676\n", + "72. 0.250859367699482\n", + "73. 0.25853826747101\n", + "74. 0.245199797934644\n", + "75. 0.285093394798369\n", + "76. 0.202171492478061\n", + "77. 0.209600859836239\n", + "78. 0.239214475935525\n", + "79. 0.26320869600691\n", + "80. 0.0771438453029291\n", + "81. 0.285211363219084\n", + "82. 0.143354601022421\n", + "83. 0.370532619853416\n", + "84. 0.284832621334978\n", + "85. 0.278021868866158\n", + "86. 0.418590610496983\n", + "87. 0.380977236154625\n", + "88. 0.298560332628452\n", + "89. 0.187042697670772\n", + "90. 0.275654891281456\n", + "91. 0.229477581818487\n", + "92. 0.312699461544508\n", + "93. 0.234172301378569\n", + "94. 0.339100097807886\n", + "95. 0.368340585549273\n", + "96. 0.21791019275137\n", + "97. 0.30461702430725\n", + "98. 0.344873726824979\n", + "99. 0.359043104105621\n", + "100. 0.229016232640231\n", + "\n", + "\n", + "\n", + "89. 1. 0.269858402615892\n", + "2. 0.147283313986695\n", + "3. 0.192394664791336\n", + "4. 0.167001350254071\n", + "5. 0.251780223525672\n", + "6. 0.297137441715475\n", + "7. 0.301769733334231\n", + "8. 0.191842615468913\n", + "9. 0.164156691337795\n", + "10. 0.250222267084484\n", + "11. 0.1768865679748\n", + "12. 0.254624560285339\n", + "13. 0.332361058179867\n", + "14. 0.176354473662607\n", + "15. 0.141022803934492\n", + "16. 0.262424911052231\n", + "17. 0.231895136057478\n", + "18. 0.327019740478221\n", + "19. 0.148777132309127\n", + "20. 0.290786619352068\n", + "21. 0.273257333344866\n", + "22. 0.220773929519877\n", + "23. 0.180886158895687\n", + "24. 0.194952247562846\n", + "25. 0.260678087226917\n", + "26. 0.254244086577738\n", + "27. 0.117207936416713\n", + "28. 0.499500340774281\n", + "29. 0.179452602236878\n", + "30. 0.0984041919655838\n", + "31. 0.244283919643126\n", + "32. 0.232218151560595\n", + "33. 0.297403173057257\n", + "34. 0.220881887117169\n", + "35. 0.308547006043572\n", + "36. 0.3133183250984\n", + "37. 0.173646240100833\n", + "38. 0.260847158170022\n", + "39. 0.234422278415976\n", + "40. 0.311839663798025\n", + "41. 0.117587479599947\n", + "42. 0.272161707686998\n", + "43. 0.331895313602721\n", + "44. 0.159817645520046\n", + "45. 0.186547466864392\n", + "46. 0.351177135940234\n", + "47. 0.157628963781387\n", + "48. 0.176099155854581\n", + "49. 0.219383961291741\n", + "50. 0.275679638466476\n", + "51. 0.106846821492302\n", + "52. 0.137144295326246\n", + "53. 0.152095518454226\n", + "54. 0.294338969544307\n", + "55. 0.139786861261781\n", + "56. 0.329704152795965\n", + "57. 0.127015386702139\n", + "58. 0.174854197256521\n", + "59. 0.346876404013794\n", + "60. 0.131279300172244\n", + "61. 0.246758817339502\n", + "62. 0.242909742686391\n", + "63. 0.260918670663749\n", + "64. 0.174442068373882\n", + "65. 0.30938593892223\n", + "66. 0.162653604854686\n", + "67. 0.118096540074749\n", + "68. 0.16209420720756\n", + "69. 0.106125064766874\n", + "70. 0.136400763226516\n", + "71. 0.0708377585626458\n", + "72. 0.279271519953051\n", + "73. 0.313804901059813\n", + "74. 0.275190820457441\n", + "75. 0.169633258476565\n", + "76. 0.341972004478922\n", + "77. 0.116570271842293\n", + "78. 0.299762393829505\n", + "79. 0.276723023133206\n", + "80. 0.202903304276183\n", + "81. 0.246758299409104\n", + "82. 0.251315162821004\n", + "83. 0.255616874862019\n", + "84. 0.210323064990689\n", + "85. 0.403141690188383\n", + "86. 0.231860930993728\n", + "87. 0.230609404860957\n", + "88. 0.253212628001785\n", + "89. 0.0890496395154166\n", + "90. 0.272210390689833\n", + "91. 0.322410077386891\n", + "92. 0.317663841329603\n", + "93. 0.20007147440877\n", + "94. 0.255988601189298\n", + "95. 0.199596272051206\n", + "96. 0.3468115098093\n", + "97. 0.33174069939238\n", + "98. 0.267707290131547\n", + "99. 0.22512935005381\n", + "100. 0.335340304287724\n", + "\n", + "\n", + "\n", + "90. 1. 0.200980562549425\n", + "2. 0.206979782387144\n", + "3. 0.203704375107177\n", + "4. 0.238935937278897\n", + "5. 0.256235256089007\n", + "6. 0.253762590332308\n", + "7. 0.168368996408058\n", + "8. 0.21139846966611\n", + "9. 0.196877760356779\n", + "10. 0.255912733972\n", + "11. 0.259338986616885\n", + "12. 0.298116791459483\n", + "13. 0.326037039014283\n", + "14. 0.155550524766946\n", + "15. 0.260830311904702\n", + "16. 0.369207151251499\n", + "17. 0.239089999373206\n", + "18. 0.43636915876192\n", + "19. 0.140806308321345\n", + "20. 0.222210913832941\n", + "21. 0.179374987557996\n", + "22. 0.237829955908279\n", + "23. 0.25732055314798\n", + "24. 0.182109939961282\n", + "25. 0.195623027937567\n", + "26. 0.298599488569912\n", + "27. 0.164297178012855\n", + "28. 0.303927385648307\n", + "29. 0.344798374498967\n", + "30. 0.16920261567823\n", + "31. 0.153366266345106\n", + "32. 0.20798974535652\n", + "33. 0.205506662501711\n", + "34. 0.207823770867849\n", + "35. 0.33356494058306\n", + "36. 0.278379306906097\n", + "37. 0.226640228901135\n", + "38. 0.417323806522057\n", + "39. 0.206220188985699\n", + "40. 0.237331221789547\n", + "41. 0.140573047443557\n", + "42. 0.338364848470254\n", + "43. 0.251747537157399\n", + "44. 0.222314529033881\n", + "45. 0.232454905490328\n", + "46. 0.199592420665997\n", + "47. 0.25126016713931\n", + "48. 0.275347074723821\n", + "49. 0.176443380065372\n", + "50. 0.284243159996426\n", + "51. 0.199268733184151\n", + "52. 0.182396637883042\n", + "53. 0.14573204152993\n", + "54. 0.195813878303049\n", + "55. 0.202852164576181\n", + "56. 0.203071772050862\n", + "57. 0.240868340097476\n", + "58. 0.368087291110847\n", + "59. 0.282979498975096\n", + "60. 0.344160265748965\n", + "61. 0.209632306960506\n", + "62. 0.268818755023539\n", + "63. 0.399149991575388\n", + "64. 0.172386563625316\n", + "65. 0.232484047325827\n", + "66. 0.201333648616924\n", + "67. 0.196359839906994\n", + "68. 0.22358164112435\n", + "69. 0.248267464095202\n", + "70. 0.219313920703986\n", + "71. 0.279993667687417\n", + "72. 0.28319071157824\n", + "73. 0.248755366490863\n", + "74. 0.368940216027192\n", + "75. 0.328881243530933\n", + "76. 0.330230029812546\n", + "77. 0.3002971871346\n", + "78. 0.264950549342062\n", + "79. 0.176424788821482\n", + "80. 0.0683686125058473\n", + "81. 0.22999688303861\n", + "82. 0.195134741606483\n", + "83. 0.201324762489813\n", + "84. 0.166847713978764\n", + "85. 0.148933466535391\n", + "86. 0.257237680585201\n", + "87. 0.198915175011158\n", + "88. 0.299843720321092\n", + "89. 0.207043235456778\n", + "90. 0.0938874307846078\n", + "91. 0.184961364795411\n", + "92. 0.205500527405539\n", + "93. 0.310797156839784\n", + "94. 0.277911097827111\n", + "95. 0.292557130268245\n", + "96. 0.236521508181892\n", + "97. 0.265999712356422\n", + "98. 0.192826674322596\n", + "99. 0.291401515652236\n", + "100. 0.264795019293554\n", + "\n", + "\n", + "\n", + "91. 1. 0.173049919549428\n", + "2. 0.256872840563969\n", + "3. 0.215887074133044\n", + "4. 0.216971134840012\n", + "5. 0.272338022412648\n", + "6. 0.357639335992024\n", + "7. 0.357058199868104\n", + "8. 0.241901182020251\n", + "9. 0.159590618371359\n", + "10. 0.227564073143155\n", + "11. 0.292583244953369\n", + "12. 0.0962679043194664\n", + "13. 0.319499440452862\n", + "14. 0.24843483334477\n", + "15. 0.311940217364533\n", + "16. 0.225830416670123\n", + "17. 0.168663279226167\n", + "18. 0.266764015550772\n", + "19. 0.389943701858948\n", + "20. 0.268904118050056\n", + "21. 0.29549577570092\n", + "22. 0.31654841109492\n", + "23. 0.257798715630022\n", + "24. 0.386637289303654\n", + "25. 0.345766880983595\n", + "26. 0.229039067089633\n", + "27. 0.356604404739488\n", + "28. 0.31141225401274\n", + "29. 0.119446002260225\n", + "30. 0.224770906842058\n", + "31. 0.373799716115387\n", + "32. 0.389174353802423\n", + "33. 0.226539279217755\n", + "34. 0.147825750028708\n", + "35. 0.357084635728067\n", + "36. 0.169224977587093\n", + "37. 0.263351943418941\n", + "38. 0.0692075546280129\n", + "39. 0.215891414449737\n", + "40. 0.258145474078189\n", + "41. 0.212697934068215\n", + "42. 0.319524491004134\n", + "43. 0.220334645568127\n", + "44. 0.279552025930799\n", + "45. 0.0725267763514308\n", + "46. 0.240296784856529\n", + "47. 0.365376557838565\n", + "48. 0.281297310534887\n", + "49. 0.354382931956085\n", + "50. 0.269394687409409\n", + "51. 0.257281251889821\n", + "52. 0.211234264942388\n", + "53. 0.0995399572169159\n", + "54. 0.332488186215358\n", + "55. 0.146439418627306\n", + "56. 0.175823075396997\n", + "57. 0.176205543869904\n", + "58. 0.237392946015306\n", + "59. 0.231613646580148\n", + "60. 0.198691940603025\n", + "61. 0.247300757493981\n", + "62. 0.296674105562805\n", + "63. 0.177425562264087\n", + "64. 0.368388414620836\n", + "65. 0.254498468893323\n", + "66. 0.341321156360929\n", + "67. 0.189486651252285\n", + "68. 0.297267801463069\n", + "69. 0.285089131205765\n", + "70. 0.203929844510825\n", + "71. 0.137193605807233\n", + "72. 0.161155148177688\n", + "73. 0.269368037984533\n", + "74. 0.388664468449817\n", + "75. 0.311008850003513\n", + "76. 0.0669544128507544\n", + "77. 0.314700457357601\n", + "78. 0.175543023398833\n", + "79. 0.2709093633061\n", + "80. 0.216567150882603\n", + "81. 0.348730386061658\n", + "82. 0.309485807585113\n", + "83. 0.24294761144031\n", + "84. 0.237987784624591\n", + "85. 0.309428405622311\n", + "86. 0.125847620155391\n", + "87. 0.193270963135714\n", + "88. 0.136388590429908\n", + "89. 0.317209714572503\n", + "90. 0.191483151488947\n", + "91. 0.299699627917452\n", + "92. 0.338375330502782\n", + "93. 0.180467676217484\n", + "94. 0.301369097642032\n", + "95. 0.157884235720364\n", + "96. 0.198364456378754\n", + "97. 0.255113692083774\n", + "98. 0.218750087322415\n", + "99. 0.317895789739558\n", + "100. 0.314216384496287\n", + "\n", + "\n", + "\n", + "92. 1. 0.170349651698045\n", + "2. 0.282180161734834\n", + "3. 0.56071120097345\n", + "4. 0.15894469740748\n", + "5. 0.225266683654183\n", + "6. 0.224082329099934\n", + "7. 0.359045564549901\n", + "8. 0.276853986679295\n", + "9. 0.171666911331871\n", + "10. 0.404434180401677\n", + "11. 0.458469725857648\n", + "12. 0.240013560205059\n", + "13. 0.391096076807934\n", + "14. 0.356176629206656\n", + "15. 0.267701622041645\n", + "16. 0.311369582383505\n", + "17. 0.319866110402902\n", + "18. 0.256982492220297\n", + "19. 0.317344600552323\n", + "20. 0.271061426327293\n", + "21. 0.436850914678385\n", + "22. 0.436301825309559\n", + "23. 0.256431943323817\n", + "24. 0.384729159403712\n", + "25. 0.261856622222753\n", + "26. 0.189340274119471\n", + "27. 0.199550881016504\n", + "28. 0.264034124202319\n", + "29. 0.292175413781546\n", + "30. 0.119498807897007\n", + "31. 0.279310041977163\n", + "32. 0.165333979196846\n", + "33. 0.218506555828969\n", + "34. 0.180551631838225\n", + "35. 0.441906214000167\n", + "36. 0.347446802157562\n", + "37. 0.351400786903268\n", + "38. 0.200195422440323\n", + "39. 0.27625047044107\n", + "40. 0.396118082520719\n", + "41. 0.281022132405287\n", + "42. 0.401143470098804\n", + "43. 0.202332904649376\n", + "44. 0.401669127170551\n", + "45. 0.266964427904706\n", + "46. 0.37960596366837\n", + "47. 0.37730749647631\n", + "48. 0.268960426371878\n", + "49. 0.154013064341687\n", + "50. 0.169013586870263\n", + "51. 0.160640266295709\n", + "52. 0.328070055645343\n", + "53. 0.249122018412393\n", + "54. 0.211971238059017\n", + "55. 0.299146012225638\n", + "56. 0.364384191041451\n", + "57. 0.258050501073987\n", + "58. 0.315142649143667\n", + "59. 0.313630541626547\n", + "60. 0.400409227935389\n", + "61. 0.330328752375004\n", + "62. 0.427688656869594\n", + "63. 0.358802745224647\n", + "64. 0.518614510176684\n", + "65. 0.174409032230501\n", + "66. 0.300275824887129\n", + "67. 0.200576251299218\n", + "68. 0.364628092123457\n", + "69. 0.270951242943692\n", + "70. 0.371580994446114\n", + "71. 0.307118843362263\n", + "72. 0.474515058378926\n", + "73. 0.306554196562686\n", + "74. 0.331816975324186\n", + "75. 0.222348594198191\n", + "76. 0.264025548824841\n", + "77. 0.151302185382742\n", + "78. 0.292473519912852\n", + "79. 0.319322528648665\n", + "80. 0.349005994159946\n", + "81. 0.40616768823576\n", + "82. 0.313784096447657\n", + "83. 0.400128405566494\n", + "84. 0.407790626127928\n", + "85. 0.424964886212983\n", + "86. 0.399645852966655\n", + "87. 0.365973268689236\n", + "88. 0.545873606065003\n", + "89. 0.352890243501941\n", + "90. 0.287388271114617\n", + "91. 0.443650712040849\n", + "92. 0.389513108992164\n", + "93. 0.259944968739995\n", + "94. 0.186884219365002\n", + "95. 0.339630085106129\n", + "96. 0.2945581653313\n", + "97. 0.149508539689895\n", + "98. 0.306568091090059\n", + "99. 0.187453923166009\n", + "100. 0.355290826916306\n", + "\n", + "\n", + "\n", + "93. 1. 0.379178731523427\n", + "2. 0.286475023160391\n", + "3. 0.274161395166463\n", + "4. 0.332403981582158\n", + "5. 0.307883087375886\n", + "6. 0.254733697187566\n", + "7. 0.343425137877406\n", + "8. 0.287796301617702\n", + "9. 0.208358357426799\n", + "10. 0.164699982775298\n", + "11. 0.278623453521251\n", + "12. 0.342186383415009\n", + "13. 0.289359385402093\n", + "14. 0.283637593631919\n", + "15. 0.29208260388685\n", + "16. 0.334205813009461\n", + "17. 0.301532766974275\n", + "18. 0.193781180311982\n", + "19. 0.385230403488709\n", + "20. 0.17819377983508\n", + "21. 0.361100824526746\n", + "22. 0.276672337444094\n", + "23. 0.270361030071607\n", + "24. 0.270946923130954\n", + "25. 0.282092455910821\n", + "26. 0.251936813470717\n", + "27. 0.183235153602062\n", + "28. 0.38344039085754\n", + "29. 0.319474025932731\n", + "30. 0.186143798531251\n", + "31. 0.351379324857255\n", + "32. 0.171636479561053\n", + "33. 0.30537083412419\n", + "34. 0.2529552983723\n", + "35. 0.252821229887524\n", + "36. 0.268079017275404\n", + "37. 0.290259092913354\n", + "38. 0.13271598680931\n", + "39. 0.248308591161266\n", + "40. 0.263077904589021\n", + "41. 0.411507703187954\n", + "42. 0.367845524865388\n", + "43. 0.311061267324721\n", + "44. 0.243325926606774\n", + "45. 0.346531931532035\n", + "46. 0.294781852367994\n", + "47. 0.481703027413461\n", + "48. 0.250532299411682\n", + "49. 0.264732371080655\n", + "50. 0.20385020652548\n", + "51. 0.30853178180882\n", + "52. 0.205085865539145\n", + "53. 0.221723745473468\n", + "54. 0.30352039700236\n", + "55. 0.281884827045832\n", + "56. 0.390211056386985\n", + "57. 0.353110858689705\n", + "58. 0.262967297964223\n", + "59. 0.149684066278062\n", + "60. 0.270729335687128\n", + "61. 0.321268477352645\n", + "62. 0.313900082985124\n", + "63. 0.236384176141262\n", + "64. 0.194186343159072\n", + "65. 0.284835184761706\n", + "66. 0.260082561980029\n", + "67. 0.164979468290168\n", + "68. 0.293775588855125\n", + "69. 0.146119073797043\n", + "70. 0.25139816570219\n", + "71. 0.324246588632687\n", + "72. 0.258425224241598\n", + "73. 0.243249405502452\n", + "74. 0.199413675969023\n", + "75. 0.223224988622261\n", + "76. 0.350528745504338\n", + "77. 0.102933469707259\n", + "78. 0.2056903624273\n", + "79. 0.343882633256084\n", + "80. 0.320832037569207\n", + "81. 0.459834529851201\n", + "82. 0.270606821062347\n", + "83. 0.226152993709528\n", + "84. 0.269473161821835\n", + "85. 0.295360341718618\n", + "86. 0.216733335478762\n", + "87. 0.282625709922748\n", + "88. 0.333942899125397\n", + "89. 0.209705113682445\n", + "90. 0.253259599534075\n", + "91. 0.393013342837135\n", + "92. 0.228687543470094\n", + "93. 0.241682933364487\n", + "94. 0.169682546327379\n", + "95. 0.244831864207757\n", + "96. 0.345726109590495\n", + "97. 0.380527613591911\n", + "98. 0.367754601669946\n", + "99. 0.173712845163895\n", + "100. 0.287188461062667\n", + "\n", + "\n", + "\n", + "94. 1. 0.227405243738926\n", + "2. 0.246779272597241\n", + "3. 0.298054207320283\n", + "4. 0.34995957252768\n", + "5. 0.261230713298132\n", + "6. 0.314057157239963\n", + "7. 0.146551218514663\n", + "8. 0.29659788124475\n", + "9. 0.155251037178605\n", + "10. 0.452669045274827\n", + "11. 0.346352951247348\n", + "12. 0.325026159287702\n", + "13. 0.140330996477386\n", + "14. 0.240196650190505\n", + "15. 0.240692640084185\n", + "16. 0.172840556270593\n", + "17. 0.24916801149894\n", + "18. 0.316795296803477\n", + "19. 0.25882153720829\n", + "20. 0.25271989966706\n", + "21. 0.238521128785614\n", + "22. 0.33259439122024\n", + "23. 0.169719758259888\n", + "24. 0.414115642679719\n", + "25. 0.215890885183742\n", + "26. 0.314832767905553\n", + "27. 0.285478154073866\n", + "28. 0.260140877184692\n", + "29. 0.368758195419468\n", + "30. 0.182752489155847\n", + "31. 0.46686697850161\n", + "32. 0.376785602765837\n", + "33. 0.140818527401715\n", + "34. 0.186889914123285\n", + "35. 0.186769565624682\n", + "36. 0.257221610409948\n", + "37. 0.201895514735541\n", + "38. 0.103313245846319\n", + "39. 0.1752849925022\n", + "40. 0.406403273388414\n", + "41. 0.414110860332879\n", + "42. 0.259041825916546\n", + "43. 0.277145586624494\n", + "44. 0.237757075447361\n", + "45. 0.286835219530134\n", + "46. 0.278212341444336\n", + "47. 0.414651552161014\n", + "48. 0.23851465227752\n", + "49. 0.25246634894381\n", + "50. 0.290011844367193\n", + "51. 0.311988634402973\n", + "52. 0.233839217913218\n", + "53. 0.394895857161718\n", + "54. 0.252566235386106\n", + "55. 0.215607398851004\n", + "56. 0.26333651439297\n", + "57. 0.180463482950018\n", + "58. 0.335907204059271\n", + "59. 0.30082686919833\n", + "60. 0.370480698133159\n", + "61. 0.178786507970833\n", + "62. 0.257564824356509\n", + "63. 0.296963707539357\n", + "64. 0.153140034612955\n", + "65. 0.245383142291256\n", + "66. 0.298566909320401\n", + "67. 0.259895519690987\n", + "68. 0.330950701524867\n", + "69. 0.240238744336215\n", + "70. 0.367654532173274\n", + "71. 0.185662257152925\n", + "72. 0.239237133049113\n", + "73. 0.309426860067103\n", + "74. 0.300599260327292\n", + "75. 0.298086233892976\n", + "76. 0.278590878606715\n", + "77. 0.271438664663726\n", + "78. 0.432935743363698\n", + "79. 0.188802366453573\n", + "80. 0.385236005163155\n", + "81. 0.315574517395979\n", + "82. 0.225900025070884\n", + "83. 0.194408752432126\n", + "84. 0.289550656616321\n", + "85. 0.314634731229552\n", + "86. 0.344537949448101\n", + "87. 0.381206006723491\n", + "88. 0.241709739260532\n", + "89. 0.214715987987413\n", + "90. 0.233754658558669\n", + "91. 0.266908714729488\n", + "92. 0.181271036997618\n", + "93. 0.204833024647681\n", + "94. 0.319293339993542\n", + "95. 0.120614704977457\n", + "96. 0.261901337743312\n", + "97. 0.140670156186043\n", + "98. 0.263481723725313\n", + "99. 0.286146273417805\n", + "100. 0.204087513117536\n", + "\n", + "\n", + "\n", + "95. 1. 0.32255959375436\n", + "2. 0.403082966047391\n", + "3. 0.205472676736951\n", + "4. 0.431838269706259\n", + "5. 0.188922588179185\n", + "6. 0.352925037870609\n", + "7. 0.270870334057545\n", + "8. 0.316954103002149\n", + "9. 0.179193627108704\n", + "10. 0.286742923549545\n", + "11. 0.353177471178658\n", + "12. 0.273415766011799\n", + "13. 0.403503384143313\n", + "14. 0.523428082278056\n", + "15. 0.260945308017941\n", + "16. 0.172878737187319\n", + "17. 0.375643811754139\n", + "18. 0.306116364049511\n", + "19. 0.395875071413295\n", + "20. 0.2995785089285\n", + "21. 0.347336565928884\n", + "22. 0.126094042489326\n", + "23. 0.304002022702296\n", + "24. 0.394075729635501\n", + "25. 0.388383589000305\n", + "26. 0.320018020833762\n", + "27. 0.285570527993207\n", + "28. 0.444227168073537\n", + "29. 0.31295086056565\n", + "30. 0.31439367712255\n", + "31. 0.263062223783998\n", + "32. 0.322319444745642\n", + "33. 0.333948899739342\n", + "34. 0.392582386307322\n", + "35. 0.345734530262354\n", + "36. 0.298562324793774\n", + "37. 0.285903816290319\n", + "38. 0.268800621020817\n", + "39. 0.229186236382419\n", + "40. 0.361954973822253\n", + "41. 0.447207516421697\n", + "42. 0.325843373206536\n", + "43. 0.267537677825042\n", + "44. 0.485822305133903\n", + "45. 0.484936714141652\n", + "46. 0.368161734976012\n", + "47. 0.329434041119165\n", + "48. 0.368218847545287\n", + "49. 0.380491626777907\n", + "50. 0.295281519018142\n", + "51. 0.362829332263355\n", + "52. 0.310805246696664\n", + "53. 0.301488061253928\n", + "54. 0.287673504331993\n", + "55. 0.399734625579869\n", + "56. 0.303822863769163\n", + "57. 0.239825169314882\n", + "58. 0.394495477443557\n", + "59. 0.426442810054224\n", + "60. 0.289250655835657\n", + "61. 0.275344161725297\n", + "62. 0.30145197469207\n", + "63. 0.435093701279829\n", + "64. 0.315222886891634\n", + "65. 0.176496943035559\n", + "66. 0.418439681881461\n", + "67. 0.504094283744289\n", + "68. 0.370927120651515\n", + "69. 0.379124841783281\n", + "70. 0.354485886566082\n", + "71. 0.298513775755053\n", + "72. 0.296063562040292\n", + "73. 0.39536149233864\n", + "74. 0.448159037033434\n", + "75. 0.237260768374491\n", + "76. 0.221742976466576\n", + "77. 0.466286943358285\n", + "78. 0.438902209561284\n", + "79. 0.282714760126568\n", + "80. 0.316310315104164\n", + "81. 0.4268925269622\n", + "82. 0.250877186730016\n", + "83. 0.38666781681403\n", + "84. 0.175714717422592\n", + "85. 0.370017115194506\n", + "86. 0.336849801878879\n", + "87. 0.352398980531736\n", + "88. 0.2894877614849\n", + "89. 0.373620613056281\n", + "90. 0.24877277795841\n", + "91. 0.314446045172467\n", + "92. 0.312590962314756\n", + "93. 0.370027510534\n", + "94. 0.353657522301833\n", + "95. 0.457514090797611\n", + "96. 0.260289475688241\n", + "97. 0.246440407426956\n", + "98. 0.209883284660813\n", + "99. 0.370707346443278\n", + "100. 0.303616212741741\n", + "\n", + "\n", + "\n", + "96. 1. 0.283265137604362\n", + "2. 0.278428367964607\n", + "3. 0.168315724006471\n", + "4. 0.291417494434389\n", + "5. 0.314819665465645\n", + "6. 0.247859728805271\n", + "7. 0.207217643086684\n", + "8. 0.323800415511631\n", + "9. 0.217220885192146\n", + "10. 0.410948280858831\n", + "11. 0.342435278547308\n", + "12. 0.268502069069443\n", + "13. 0.135579508254713\n", + "14. 0.110318313828835\n", + "15. 0.284689806548033\n", + "16. 0.179143385316697\n", + "17. 0.210953176731874\n", + "18. 0.271932368638065\n", + "19. 0.233535500697716\n", + "20. 0.206188196199752\n", + "21. 0.186198784932367\n", + "22. 0.246799850236739\n", + "23. 0.299703017462236\n", + "24. 0.249941951119965\n", + "25. 0.273385678448583\n", + "26. 0.344878126974305\n", + "27. 0.139655904621604\n", + "28. 0.213092304703835\n", + "29. 0.213655297963884\n", + "30. 0.193671879881129\n", + "31. 0.18578755268389\n", + "32. 0.221699141180875\n", + "33. 0.142289681511603\n", + "34. 0.365319254316219\n", + "35. 0.236536128108746\n", + "36. 0.300291837135917\n", + "37. 0.136140687139286\n", + "38. 0.319638186761265\n", + "39. 0.406522476135531\n", + "40. 0.342687692709647\n", + "41. 0.235333880364407\n", + "42. 0.187758888741067\n", + "43. 0.220256874009195\n", + "44. 0.299177179742323\n", + "45. 0.195220997058561\n", + "46. 0.185657725588433\n", + "47. 0.183528000565839\n", + "48. 0.318544794941224\n", + "49. 0.314613504722189\n", + "50. 0.216895108461801\n", + "51. 0.259294935415231\n", + "52. 0.251386220874221\n", + "53. 0.299459712129835\n", + "54. 0.231357838258365\n", + "55. 0.348062353496077\n", + "56. 0.202544371317989\n", + "57. 0.149617886079824\n", + "58. 0.317866813649372\n", + "59. 0.245326344361288\n", + "60. 0.253897097320831\n", + "61. 0.226241278020361\n", + "62. 0.161773192789992\n", + "63. 0.284890481514774\n", + "64. 0.175858569188186\n", + "65. 0.267199529819003\n", + "66. 0.249309746729128\n", + "67. 0.222258751688586\n", + "68. 0.184321281003131\n", + "69. 0.312754299452822\n", + "70. 0.295902707147659\n", + "71. 0.235586482242289\n", + "72. 0.18571905500538\n", + "73. 0.290217872912182\n", + "74. 0.253706072432274\n", + "75. 0.226615686367983\n", + "76. 0.241897291057862\n", + "77. 0.156226618237326\n", + "78. 0.269115166303284\n", + "79. 0.30190066299783\n", + "80. 0.291868970121644\n", + "81. 0.181972699217262\n", + "82. 0.208001795461999\n", + "83. 0.230226777648342\n", + "84. 0.182023472161744\n", + "85. 0.227108130833867\n", + "86. 0.236879366121723\n", + "87. 0.2045296050307\n", + "88. 0.215714896455404\n", + "89. 0.231188429061789\n", + "90. 0.205456171963071\n", + "91. 0.246933633824109\n", + "92. 0.310664258341248\n", + "93. 0.231541720899751\n", + "94. 0.1613599315803\n", + "95. 0.19497653650686\n", + "96. 0.311642886246476\n", + "97. 0.315922847638382\n", + "98. 0.152493741256547\n", + "99. 0.287137711732701\n", + "100. 0.165679612171624\n", + "\n", + "\n", + "\n", + "97. 1. 0.277191235850204\n", + "2. 0.374959222308307\n", + "3. 0.140131652593693\n", + "4. 0.082623751882397\n", + "5. 0.201828163800406\n", + "6. 0.275670582579104\n", + "7. 0.149253033202742\n", + "8. 0.214509767929\n", + "9. 0.24338739036361\n", + "10. 0.203284719862094\n", + "11. 0.322874774829675\n", + "12. 0.297419204726769\n", + "13. 0.25965937843388\n", + "14. 0.225084955104117\n", + "15. 0.266131781714355\n", + "16. 0.183322873150485\n", + "17. 0.362291812056234\n", + "18. 0.272158635044951\n", + "19. 0.212168736639455\n", + "20. 0.246710441279832\n", + "21. 0.275099511570352\n", + "22. 0.228718092481146\n", + "23. 0.420060837759485\n", + "24. 0.199011038606971\n", + "25. 0.195663413020071\n", + "26. 0.208896141050546\n", + "27. 0.304101383055852\n", + "28. 0.354329945645602\n", + "29. 0.405377934237123\n", + "30. 0.157775921797703\n", + "31. 0.22097161522369\n", + "32. 0.281164288810325\n", + "33. 0.17457978838802\n", + "34. 0.290829567065308\n", + "35. 0.189400759715501\n", + "36. 0.26247102837557\n", + "37. 0.34383487204623\n", + "38. 0.180473608980012\n", + "39. 0.246102843171556\n", + "40. 0.371869109151769\n", + "41. 0.293115852346403\n", + "42. 0.279085508168986\n", + "43. 0.245485815325837\n", + "44. 0.199613071069829\n", + "45. 0.351978162290908\n", + "46. 0.186151194040095\n", + "47. 0.196498829108257\n", + "48. 0.254385346465037\n", + "49. 0.252543877819325\n", + "50. 0.255516154556998\n", + "51. 0.319811072920485\n", + "52. 0.361692599267361\n", + "53. 0.315767003476218\n", + "54. 0.253793200811833\n", + "55. 0.22205610231602\n", + "56. 0.226378485780238\n", + "57. 0.0798435414833138\n", + "58. 0.232364672265427\n", + "59. 0.248512576133822\n", + "60. 0.217136138094763\n", + "61. 0.102236515955604\n", + "62. 0.18619102337847\n", + "63. 0.0836154980008716\n", + "64. 0.177344706445333\n", + "65. 0.208313688012451\n", + "66. 0.264156488144282\n", + "67. 0.30796728026538\n", + "68. 0.156559946246756\n", + "69. 0.372047471876599\n", + "70. 0.307681350270797\n", + "71. 0.242876070189929\n", + "72. 0.205626782392806\n", + "73. 0.281592652919753\n", + "74. 0.309519833207524\n", + "75. 0.201601009144491\n", + "76. 0.372010850198044\n", + "77. 0.30923954149089\n", + "78. 0.279097354390534\n", + "79. 0.203867997444708\n", + "80. 0.266462077209859\n", + "81. 0.227623483225462\n", + "82. 0.314798766520948\n", + "83. 0.148929961904048\n", + "84. 0.134053240955516\n", + "85. 0.296088483787804\n", + "86. 0.230502373868691\n", + "87. 0.201952008133368\n", + "88. 0.239472617166011\n", + "89. 0.109155300169612\n", + "90. 0.156494930354095\n", + "91. 0.314566788889362\n", + "92. 0.23597397617176\n", + "93. 0.338502347400758\n", + "94. 0.202318356062688\n", + "95. 0.161347277389356\n", + "96. 0.33612258428824\n", + "97. 0.220011589592306\n", + "98. 0.422767170912779\n", + "99. 0.154329395202699\n", + "100. 0.205439435428523\n", + "\n", + "\n", + "\n", + "98. 1. 0.251216921840891\n", + "2. 0.431106021883919\n", + "3. 0.305171996282917\n", + "4. 0.168214784443839\n", + "5. 0.278379993161062\n", + "6. 0.0657177921914991\n", + "7. 0.360644594602637\n", + "8. 0.152409403069402\n", + "9. 0.350960226455087\n", + "10. 0.269412489850477\n", + "11. 0.381095613892409\n", + "12. 0.322270613884497\n", + "13. 0.268724875333671\n", + "14. 0.213581941975851\n", + "15. 0.245085996097898\n", + "16. 0.223581204400172\n", + "17. 0.365591972339416\n", + "18. 0.255604054440154\n", + "19. 0.244014607724044\n", + "20. 0.168612713471817\n", + "21. 0.221952712676287\n", + "22. 0.348975279997072\n", + "23. 0.198206694037828\n", + "24. 0.247297126686536\n", + "25. 0.388345208716817\n", + "26. 0.240072536016521\n", + "27. 0.337477153688427\n", + "28. 0.280375650308425\n", + "29. 0.286262306058126\n", + "30. 0.36762412621516\n", + "31. 0.224995426307005\n", + "32. 0.225851499524499\n", + "33. 0.169644737471629\n", + "34. 0.287322337977462\n", + "35. 0.257243895819325\n", + "36. 0.262189927148121\n", + "37. 0.258275829191924\n", + "38. 0.248058811598685\n", + "39. 0.226476214285061\n", + "40. 0.219832831507444\n", + "41. 0.269619560070837\n", + "42. 0.342080925349371\n", + "43. 0.330799194038177\n", + "44. 0.22695862045765\n", + "45. 0.243196245170019\n", + "46. 0.378105351134683\n", + "47. 0.323626794354345\n", + "48. 0.319929382599708\n", + "49. 0.155838135865019\n", + "50. 0.286896402238489\n", + "51. 0.162448952129945\n", + "52. 0.252596689850781\n", + "53. 0.180390334854689\n", + "54. 0.248769879027204\n", + "55. 0.205563478506167\n", + "56. 0.2962562870195\n", + "57. 0.170288032537445\n", + "58. 0.196432028031599\n", + "59. 0.240149488251391\n", + "60. 0.390361591434858\n", + "61. 0.220763044297804\n", + "62. 0.204410305977621\n", + "63. 0.20574341993838\n", + "64. 0.335975563218553\n", + "65. 0.128730838756963\n", + "66. 0.26286326512811\n", + "67. 0.27279804591353\n", + "68. 0.250980549415611\n", + "69. 0.377549857295955\n", + "70. 0.329487219252808\n", + "71. 0.345913826701206\n", + "72. 0.350806919085337\n", + "73. 0.278419149979583\n", + "74. 0.262390718030683\n", + "75. 0.192584844120054\n", + "76. 0.337573530685037\n", + "77. 0.14688422965054\n", + "78. 0.268698120569533\n", + "79. 0.210542336210515\n", + "80. 0.337754926387519\n", + "81. 0.338406386697137\n", + "82. 0.286876418407811\n", + "83. 0.233912082529835\n", + "84. 0.196344383223443\n", + "85. 0.323668045338487\n", + "86. 0.19432914772043\n", + "87. 0.289027614674526\n", + "88. 0.286689678189913\n", + "89. 0.361290993049955\n", + "90. 0.341155017829718\n", + "91. 0.190386631169911\n", + "92. 0.304218696220843\n", + "93. 0.279419755267131\n", + "94. 0.328130977082236\n", + "95. 0.171663502578802\n", + "96. 0.204836925580217\n", + "97. 0.337568069124785\n", + "98. 0.208823902042094\n", + "99. 0.196519804377356\n", + "100. 0.268483678285419\n", + "\n", + "\n", + "\n", + "99. 1. 0.310282561655067\n", + "2. 0.221546653878936\n", + "3. 0.404287673442991\n", + "4. 0.138336980377985\n", + "5. 0.364615123255319\n", + "6. 0.165475995114546\n", + "7. 0.307201713294692\n", + "8. 0.262226719710355\n", + "9. 0.413698554105904\n", + "10. 0.3247679859715\n", + "11. 0.127977135747205\n", + "12. 0.349175106599089\n", + "13. 0.284691367493948\n", + "14. 0.347284517274607\n", + "15. 0.148357958060957\n", + "16. 0.239857839211492\n", + "17. 0.343119240464992\n", + "18. 0.276237161283063\n", + "19. 0.277312211583734\n", + "20. 0.190223872173443\n", + "21. 0.207869370729605\n", + "22. 0.28141469524224\n", + "23. 0.435667400086252\n", + "24. 0.371742249574247\n", + "25. 0.238140245184659\n", + "26. 0.370938421128212\n", + "27. 0.231766076256843\n", + "28. 0.148008893376442\n", + "29. 0.116112776208336\n", + "30. 0.202108799239793\n", + "31. 0.158167445615394\n", + "32. 0.237305140099672\n", + "33. 0.296548228251352\n", + "34. 0.197043529776646\n", + "35. 0.372756605760438\n", + "36. 0.315415072501756\n", + "37. 0.342442416401227\n", + "38. 0.276966058073048\n", + "39. 0.163959642876596\n", + "40. 0.263316196155764\n", + "41. 0.281910052776641\n", + "42. 0.319673827930333\n", + "43. 0.310374276007641\n", + "44. 0.24990023381345\n", + "45. 0.294529024456319\n", + "46. 0.353425056176957\n", + "47. 0.219094248093797\n", + "48. 0.28346242076356\n", + "49. 0.268354583486729\n", + "50. 0.204103105336467\n", + "51. 0.32265528702647\n", + "52. 0.215533167281511\n", + "53. 0.394428803477075\n", + "54. 0.39418433534665\n", + "55. 0.248738338564481\n", + "56. 0.220563825210509\n", + "57. 0.17987648757208\n", + "58. 0.453406298844399\n", + "59. 0.353007376604924\n", + "60. 0.264667037594379\n", + "61. 0.221812496141295\n", + "62. 0.301614101164778\n", + "63. 0.267017570905777\n", + "64. 0.324290665636363\n", + "65. 0.353240559452574\n", + "66. 0.156985866462631\n", + "67. 0.303896351489064\n", + "68. 0.177292785878993\n", + "69. 0.150186386230086\n", + "70. 0.216056488145929\n", + "71. 0.227096830749757\n", + "72. 0.186592954985331\n", + "73. 0.272432626971723\n", + "74. 0.173826597416637\n", + "75. 0.256394362817505\n", + "76. 0.302994985495999\n", + "77. 0.334174092732937\n", + "78. 0.257829531177993\n", + "79. 0.248617204456995\n", + "80. 0.20803053349821\n", + "81. 0.288951910805241\n", + "82. 0.282647591749617\n", + "83. 0.196395486988909\n", + "84. 0.393396034432676\n", + "85. 0.251454870553785\n", + "86. 0.133115019269527\n", + "87. 0.344175022667265\n", + "88. 0.185326938314363\n", + "89. 0.197425650538049\n", + "90. 0.268504401864642\n", + "91. 0.0519520435102701\n", + "92. 0.281510537538287\n", + "93. 0.189087976369074\n", + "94. 0.305407718360835\n", + "95. 0.259274827417518\n", + "96. 0.18070932291543\n", + "97. 0.193989727369308\n", + "98. 0.309140960251665\n", + "99. 0.332835000350695\n", + "100. 0.230030724656842\n", + "\n", + "\n", + "\n", + "100. 1. 0.299192112489586\n", + "2. 0.269267631605983\n", + "3. 0.226618846241462\n", + "4. 0.329149134528391\n", + "5. 0.222471412504338\n", + "6. 0.319071764027861\n", + "7. 0.405591636737973\n", + "8. 0.321724863433553\n", + "9. 0.221778111214817\n", + "10. 0.31608328245752\n", + "11. 0.145403524421592\n", + "12. 0.182939586419472\n", + "13. 0.18193144928393\n", + "14. 0.244119032482318\n", + "15. 0.194621338919607\n", + "16. 0.205522873184017\n", + "17. 0.383153735943877\n", + "18. 0.260042051650933\n", + "19. 0.314543255836367\n", + "20. 0.111236056614215\n", + "21. 0.249110919544195\n", + "22. 0.312921070427873\n", + "23. 0.272681841356152\n", + "24. 0.111611443895411\n", + "25. 0.186257784457697\n", + "26. 0.208299962234008\n", + "27. 0.244735265236045\n", + "28. 0.192499283745305\n", + "29. 0.183584000898235\n", + "30. 0.232659685637034\n", + "31. 0.367262888532237\n", + "32. 0.423214144561575\n", + "33. 0.221008783271881\n", + "34. 0.176014092461467\n", + "35. 0.273447216531109\n", + "36. 0.301891900479944\n", + "37. 0.293756779370529\n", + "38. 0.28948928174274\n", + "39. 0.24677218255915\n", + "40. 0.279331771949407\n", + "41. 0.276455812295952\n", + "42. 0.237959430284761\n", + "43. 0.324165284505723\n", + "44. 0.243750853130026\n", + "45. 0.294269236466486\n", + "46. 0.231562580911124\n", + "47. 0.153028891221064\n", + "48. 0.226959924368321\n", + "49. 0.185599618081566\n", + "50. 0.267759313726414\n", + "51. 0.238152318759102\n", + "52. 0.355707647168826\n", + "53. 0.202496464772984\n", + "54. 0.210328892083662\n", + "55. 0.356581003161553\n", + "56. 0.353647630286185\n", + "57. 0.27071579679764\n", + "58. 0.330187283445045\n", + "59. 0.422493083092546\n", + "60. 0.32471382733384\n", + "61. 0.295641395168775\n", + "62. 0.333699221744505\n", + "63. 0.15724672696921\n", + "64. 0.246957869728012\n", + "65. 0.313569244762633\n", + "66. 0.314467532485208\n", + "67. 0.421633251556524\n", + "68. 0.295798434376242\n", + "69. 0.386367200034669\n", + "70. 0.233493324764028\n", + "71. 0.243319148551551\n", + "72. 0.431594748358983\n", + "73. 0.107190243616409\n", + "74. 0.245352652472891\n", + "75. 0.315841303799616\n", + "76. 0.486821932997154\n", + "77. 0.172381486490393\n", + "78. 0.191708196424976\n", + "79. 0.29585975515634\n", + "80. 0.175202816822253\n", + "81. 0.396262045315368\n", + "82. 0.190251287932115\n", + "83. 0.329461094564887\n", + "84. 0.263683113759148\n", + "85. 0.220969555816608\n", + "86. 0.239638645494559\n", + "87. 0.202386424993105\n", + "88. 0.325132777293787\n", + "89. 0.271527806476765\n", + "90. 0.281157662689818\n", + "91. 0.299378017646081\n", + "92. 0.105186651885825\n", + "93. 0.293704071348803\n", + "94. 0.113210492441125\n", + "95. 0.281749100760567\n", + "96. 0.223263585183608\n", + "97. 0.399882974740279\n", + "98. 0.226377775445254\n", + "99. 0.390088857131122\n", + "100. 0.167634539130283\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n" + ], + "text/plain": [ + "$num_boot\n", + "[1] 100\n", + "\n", + "$method\n", + "[1] \"RF\"\n", + "\n", + "$stab_index\n", + " [1] 0.03 0.04 0.02 0.03 0.03 0.03 0.04 0.03 0.03 0.04 0.04 0.04 0.04 0.04 0.03\n", + " [16] 0.05 0.05 0.04 0.05 0.05 0.06 0.04 0.03 0.03 0.02 0.03 0.03 0.05 0.03 0.06\n", + " [31] 0.04 0.03 0.03 0.05 0.06 0.03 0.04 0.03 0.04 0.03 0.04 0.04 0.04 0.02 0.04\n", + " [46] 0.03 0.05 0.04 0.04 0.04 0.03 0.03 0.04 0.03 0.06 0.04 0.04 0.05 0.03 0.02\n", + " [61] 0.03 0.04 0.04 0.03 0.03 0.03 0.05 0.03 0.03 0.03 0.03 0.03 0.04 0.04 0.05\n", + " [76] 0.03 0.04 0.04 0.04 0.04 0.04 0.03 0.05 0.06 0.03 0.04 0.03 0.06 0.02 0.03\n", + " [91] 0.03 0.05 0.04 0.04 0.04 0.03 0.04 0.04 0.04 0.04\n", + "\n", + "$MSE_list\n", + "$MSE_list[[1]]\n", + "$MSE_list[[1]][[1]]\n", + "[1] 0.2017743\n", + "\n", + "$MSE_list[[1]][[2]]\n", + "[1] 0.3670027\n", + "\n", + "$MSE_list[[1]][[3]]\n", + "[1] 0.3473214\n", + "\n", + "$MSE_list[[1]][[4]]\n", + "[1] 0.1878338\n", + "\n", + "$MSE_list[[1]][[5]]\n", + "[1] 0.2126348\n", + "\n", + "$MSE_list[[1]][[6]]\n", + "[1] 0.2108757\n", + "\n", + "$MSE_list[[1]][[7]]\n", + "[1] 0.2210874\n", + "\n", + "$MSE_list[[1]][[8]]\n", + "[1] 0.183236\n", + "\n", + "$MSE_list[[1]][[9]]\n", + "[1] 0.27733\n", + "\n", + "$MSE_list[[1]][[10]]\n", + "[1] 0.3130916\n", + "\n", + "$MSE_list[[1]][[11]]\n", + "[1] 0.2528293\n", + "\n", + "$MSE_list[[1]][[12]]\n", + "[1] 0.2015357\n", + "\n", + "$MSE_list[[1]][[13]]\n", + "[1] 0.1541054\n", + "\n", + "$MSE_list[[1]][[14]]\n", + "[1] 0.2138888\n", + "\n", + "$MSE_list[[1]][[15]]\n", + "[1] 0.253883\n", + "\n", + "$MSE_list[[1]][[16]]\n", + "[1] 0.1042476\n", + "\n", + "$MSE_list[[1]][[17]]\n", + "[1] 0.328083\n", + "\n", + "$MSE_list[[1]][[18]]\n", + "[1] 0.2749233\n", + "\n", + "$MSE_list[[1]][[19]]\n", + "[1] 0.3292538\n", + "\n", + "$MSE_list[[1]][[20]]\n", + "[1] 0.2398572\n", + "\n", + "$MSE_list[[1]][[21]]\n", + "[1] 0.2859531\n", + "\n", + "$MSE_list[[1]][[22]]\n", + "[1] 0.2413743\n", + "\n", + "$MSE_list[[1]][[23]]\n", + "[1] 0.2778625\n", + "\n", + "$MSE_list[[1]][[24]]\n", + "[1] 0.3511964\n", + "\n", + "$MSE_list[[1]][[25]]\n", + "[1] 0.3729649\n", + "\n", + "$MSE_list[[1]][[26]]\n", + "[1] 0.04591761\n", + "\n", + "$MSE_list[[1]][[27]]\n", + "[1] 0.1897375\n", + "\n", + "$MSE_list[[1]][[28]]\n", + "[1] 0.2372095\n", + "\n", + "$MSE_list[[1]][[29]]\n", + "[1] 0.3210191\n", + "\n", + "$MSE_list[[1]][[30]]\n", + "[1] 0.2833574\n", + "\n", + "$MSE_list[[1]][[31]]\n", + "[1] 0.2698889\n", + "\n", + "$MSE_list[[1]][[32]]\n", + "[1] 0.2392864\n", + "\n", + "$MSE_list[[1]][[33]]\n", + "[1] 0.2251367\n", + "\n", + "$MSE_list[[1]][[34]]\n", + "[1] 0.2857028\n", + "\n", + "$MSE_list[[1]][[35]]\n", + "[1] 0.1871787\n", + "\n", + "$MSE_list[[1]][[36]]\n", + "[1] 0.2652051\n", + "\n", + "$MSE_list[[1]][[37]]\n", + "[1] 0.2798462\n", + "\n", + "$MSE_list[[1]][[38]]\n", + "[1] 0.2370356\n", + "\n", + "$MSE_list[[1]][[39]]\n", + "[1] 0.3054861\n", + "\n", + "$MSE_list[[1]][[40]]\n", + "[1] 0.2016821\n", + "\n", + "$MSE_list[[1]][[41]]\n", + "[1] 0.2007788\n", + "\n", + "$MSE_list[[1]][[42]]\n", + "[1] 0.232629\n", + "\n", + "$MSE_list[[1]][[43]]\n", + "[1] 0.2250312\n", + "\n", + "$MSE_list[[1]][[44]]\n", + "[1] 0.3211232\n", + "\n", + "$MSE_list[[1]][[45]]\n", + "[1] 0.2030473\n", + "\n", + "$MSE_list[[1]][[46]]\n", + "[1] 0.08429519\n", + "\n", + "$MSE_list[[1]][[47]]\n", + "[1] 0.1328193\n", + "\n", + "$MSE_list[[1]][[48]]\n", + "[1] 0.2491809\n", + "\n", + "$MSE_list[[1]][[49]]\n", + "[1] 0.4497036\n", + "\n", + "$MSE_list[[1]][[50]]\n", + "[1] 0.3737248\n", + "\n", + "$MSE_list[[1]][[51]]\n", + "[1] 0.2314429\n", + "\n", + "$MSE_list[[1]][[52]]\n", + "[1] 0.4107909\n", + "\n", + "$MSE_list[[1]][[53]]\n", + "[1] 0.2095944\n", + "\n", + "$MSE_list[[1]][[54]]\n", + "[1] 0.3191709\n", + "\n", + "$MSE_list[[1]][[55]]\n", + "[1] 0.3635328\n", + "\n", + "$MSE_list[[1]][[56]]\n", + "[1] 0.2224401\n", + "\n", + "$MSE_list[[1]][[57]]\n", + "[1] 0.3729122\n", + "\n", + "$MSE_list[[1]][[58]]\n", + "[1] 0.3929149\n", + "\n", + "$MSE_list[[1]][[59]]\n", + "[1] 0.3240935\n", + "\n", + "$MSE_list[[1]][[60]]\n", + "[1] 0.2667532\n", + "\n", + "$MSE_list[[1]][[61]]\n", + "[1] 0.165317\n", + "\n", + "$MSE_list[[1]][[62]]\n", + "[1] 0.09038749\n", + "\n", + "$MSE_list[[1]][[63]]\n", + "[1] 0.2171301\n", + "\n", + "$MSE_list[[1]][[64]]\n", + "[1] 0.1516938\n", + "\n", + "$MSE_list[[1]][[65]]\n", + "[1] 0.1943246\n", + "\n", + "$MSE_list[[1]][[66]]\n", + "[1] 0.1641747\n", + "\n", + "$MSE_list[[1]][[67]]\n", + "[1] 0.2858322\n", + "\n", + "$MSE_list[[1]][[68]]\n", + "[1] 0.2279256\n", + "\n", + "$MSE_list[[1]][[69]]\n", + "[1] 0.1777188\n", + "\n", + "$MSE_list[[1]][[70]]\n", + "[1] 0.2632351\n", + "\n", + "$MSE_list[[1]][[71]]\n", + "[1] 0.259343\n", + "\n", + "$MSE_list[[1]][[72]]\n", + "[1] 0.3248551\n", + "\n", + "$MSE_list[[1]][[73]]\n", + "[1] 0.1193185\n", + "\n", + "$MSE_list[[1]][[74]]\n", + "[1] 0.1522079\n", + "\n", + "$MSE_list[[1]][[75]]\n", + "[1] 0.3135673\n", + "\n", + "$MSE_list[[1]][[76]]\n", + "[1] 0.2907719\n", + "\n", + "$MSE_list[[1]][[77]]\n", + "[1] 0.2281928\n", + "\n", + "$MSE_list[[1]][[78]]\n", + "[1] 0.3507435\n", + "\n", + "$MSE_list[[1]][[79]]\n", + "[1] 0.1766658\n", + "\n", + "$MSE_list[[1]][[80]]\n", + "[1] 0.1827894\n", + "\n", + "$MSE_list[[1]][[81]]\n", + "[1] 0.2639768\n", + "\n", + "$MSE_list[[1]][[82]]\n", + "[1] 0.3910566\n", + "\n", + "$MSE_list[[1]][[83]]\n", + "[1] 0.3389791\n", + "\n", + "$MSE_list[[1]][[84]]\n", + "[1] 0.1491356\n", + "\n", + "$MSE_list[[1]][[85]]\n", + "[1] 0.3283082\n", + "\n", + "$MSE_list[[1]][[86]]\n", + "[1] 0.3394812\n", + "\n", + "$MSE_list[[1]][[87]]\n", + "[1] 0.2112402\n", + "\n", + "$MSE_list[[1]][[88]]\n", + "[1] 0.2041499\n", + "\n", + "$MSE_list[[1]][[89]]\n", + "[1] 0.3534649\n", + "\n", + "$MSE_list[[1]][[90]]\n", + "[1] 0.2715196\n", + "\n", + "$MSE_list[[1]][[91]]\n", + "[1] 0.290611\n", + "\n", + "$MSE_list[[1]][[92]]\n", + "[1] 0.1745145\n", + "\n", + "$MSE_list[[1]][[93]]\n", + "[1] 0.2759623\n", + "\n", + "$MSE_list[[1]][[94]]\n", + "[1] 0.2419037\n", + "\n", + "$MSE_list[[1]][[95]]\n", + "[1] 0.2542077\n", + "\n", + "$MSE_list[[1]][[96]]\n", + "[1] 0.1517263\n", + "\n", + "$MSE_list[[1]][[97]]\n", + "[1] 0.1633595\n", + "\n", + "$MSE_list[[1]][[98]]\n", + "[1] 0.2734454\n", + "\n", + "$MSE_list[[1]][[99]]\n", + "[1] 0.279056\n", + "\n", + "$MSE_list[[1]][[100]]\n", + "[1] 0.2890785\n", + "\n", + "\n", + "$MSE_list[[2]]\n", + "$MSE_list[[2]][[1]]\n", + "[1] 0.1686495\n", + "\n", + "$MSE_list[[2]][[2]]\n", + "[1] 0.2172705\n", + "\n", + "$MSE_list[[2]][[3]]\n", + "[1] 0.2681061\n", + "\n", + "$MSE_list[[2]][[4]]\n", + "[1] 0.3701955\n", + "\n", + "$MSE_list[[2]][[5]]\n", + "[1] 0.1275361\n", + "\n", + "$MSE_list[[2]][[6]]\n", + "[1] 0.3114711\n", + "\n", + "$MSE_list[[2]][[7]]\n", + "[1] 0.399582\n", + "\n", + "$MSE_list[[2]][[8]]\n", + "[1] 0.258615\n", + "\n", + "$MSE_list[[2]][[9]]\n", + "[1] 0.1591833\n", + "\n", + "$MSE_list[[2]][[10]]\n", + "[1] 0.2857041\n", + "\n", + "$MSE_list[[2]][[11]]\n", + "[1] 0.1799849\n", + "\n", + "$MSE_list[[2]][[12]]\n", + "[1] 0.3230515\n", + "\n", + "$MSE_list[[2]][[13]]\n", + "[1] 0.216151\n", + "\n", + "$MSE_list[[2]][[14]]\n", + "[1] 0.3533886\n", + "\n", + "$MSE_list[[2]][[15]]\n", + "[1] 0.2716508\n", + "\n", + "$MSE_list[[2]][[16]]\n", + "[1] 0.3573553\n", + "\n", + "$MSE_list[[2]][[17]]\n", + "[1] 0.1213445\n", + "\n", + "$MSE_list[[2]][[18]]\n", + "[1] 0.1750608\n", + "\n", + "$MSE_list[[2]][[19]]\n", + "[1] 0.1963855\n", + "\n", + "$MSE_list[[2]][[20]]\n", + "[1] 0.2554592\n", + "\n", + "$MSE_list[[2]][[21]]\n", + "[1] 0.214439\n", + "\n", + "$MSE_list[[2]][[22]]\n", + "[1] 0.3279327\n", + "\n", + "$MSE_list[[2]][[23]]\n", + "[1] 0.2084102\n", + "\n", + "$MSE_list[[2]][[24]]\n", + "[1] 0.3518537\n", + "\n", + "$MSE_list[[2]][[25]]\n", + "[1] 0.3668357\n", + "\n", + "$MSE_list[[2]][[26]]\n", + "[1] 0.2858327\n", + "\n", + "$MSE_list[[2]][[27]]\n", + "[1] 0.168917\n", + "\n", + "$MSE_list[[2]][[28]]\n", + "[1] 0.2807009\n", + "\n", + "$MSE_list[[2]][[29]]\n", + "[1] 0.2185791\n", + "\n", + "$MSE_list[[2]][[30]]\n", + "[1] 0.2907841\n", + "\n", + "$MSE_list[[2]][[31]]\n", + "[1] 0.3164228\n", + "\n", + "$MSE_list[[2]][[32]]\n", + "[1] 0.3153529\n", + "\n", + "$MSE_list[[2]][[33]]\n", + "[1] 0.1994622\n", + "\n", + "$MSE_list[[2]][[34]]\n", + "[1] 0.2712633\n", + "\n", + "$MSE_list[[2]][[35]]\n", + "[1] 0.246273\n", + "\n", + "$MSE_list[[2]][[36]]\n", + "[1] 0.3129831\n", + "\n", + "$MSE_list[[2]][[37]]\n", + "[1] 0.2084959\n", + "\n", + "$MSE_list[[2]][[38]]\n", + "[1] 0.2159259\n", + "\n", + "$MSE_list[[2]][[39]]\n", + "[1] 0.2739993\n", + "\n", + "$MSE_list[[2]][[40]]\n", + "[1] 0.3490599\n", + "\n", + "$MSE_list[[2]][[41]]\n", + "[1] 0.2601634\n", + "\n", + "$MSE_list[[2]][[42]]\n", + "[1] 0.374929\n", + "\n", + "$MSE_list[[2]][[43]]\n", + "[1] 0.2466859\n", + "\n", + "$MSE_list[[2]][[44]]\n", + "[1] 0.2565433\n", + "\n", + "$MSE_list[[2]][[45]]\n", + "[1] 0.1975342\n", + "\n", + "$MSE_list[[2]][[46]]\n", + "[1] 0.2606092\n", + "\n", + "$MSE_list[[2]][[47]]\n", + "[1] 0.2778523\n", + "\n", + "$MSE_list[[2]][[48]]\n", + "[1] 0.206301\n", + "\n", + "$MSE_list[[2]][[49]]\n", + "[1] 0.2106931\n", + "\n", + "$MSE_list[[2]][[50]]\n", + "[1] 0.2473283\n", + "\n", + "$MSE_list[[2]][[51]]\n", + "[1] 0.3432215\n", + "\n", + "$MSE_list[[2]][[52]]\n", + "[1] 0.1874666\n", + "\n", + "$MSE_list[[2]][[53]]\n", + "[1] 0.1893715\n", + "\n", + "$MSE_list[[2]][[54]]\n", + "[1] 0.2323752\n", + "\n", + "$MSE_list[[2]][[55]]\n", + "[1] 0.191822\n", + "\n", + "$MSE_list[[2]][[56]]\n", + "[1] 0.2689282\n", + "\n", + "$MSE_list[[2]][[57]]\n", + "[1] 0.2445901\n", + "\n", + "$MSE_list[[2]][[58]]\n", + "[1] 0.2426032\n", + "\n", + "$MSE_list[[2]][[59]]\n", + "[1] 0.2285951\n", + "\n", + "$MSE_list[[2]][[60]]\n", + "[1] 0.1298391\n", + "\n", + "$MSE_list[[2]][[61]]\n", + "[1] 0.3194727\n", + "\n", + "$MSE_list[[2]][[62]]\n", + "[1] 0.3166816\n", + "\n", + "$MSE_list[[2]][[63]]\n", + "[1] 0.2453277\n", + "\n", + "$MSE_list[[2]][[64]]\n", + "[1] 0.1971167\n", + "\n", + "$MSE_list[[2]][[65]]\n", + "[1] 0.1753317\n", + "\n", + "$MSE_list[[2]][[66]]\n", + "[1] 0.2021516\n", + "\n", + "$MSE_list[[2]][[67]]\n", + "[1] 0.190777\n", + "\n", + "$MSE_list[[2]][[68]]\n", + "[1] 0.2984675\n", + "\n", + "$MSE_list[[2]][[69]]\n", + "[1] 0.1598927\n", + "\n", + "$MSE_list[[2]][[70]]\n", + "[1] 0.2323928\n", + "\n", + "$MSE_list[[2]][[71]]\n", + "[1] 0.2130856\n", + "\n", + "$MSE_list[[2]][[72]]\n", + "[1] 0.2125346\n", + "\n", + "$MSE_list[[2]][[73]]\n", + "[1] 0.1654272\n", + "\n", + "$MSE_list[[2]][[74]]\n", + "[1] 0.2044061\n", + "\n", + "$MSE_list[[2]][[75]]\n", + "[1] 0.2139824\n", + "\n", + "$MSE_list[[2]][[76]]\n", + "[1] 0.3279266\n", + "\n", + "$MSE_list[[2]][[77]]\n", + "[1] 0.3116768\n", + "\n", + "$MSE_list[[2]][[78]]\n", + "[1] 0.2274309\n", + "\n", + "$MSE_list[[2]][[79]]\n", + "[1] 0.3276571\n", + "\n", + "$MSE_list[[2]][[80]]\n", + "[1] 0.3118827\n", + "\n", + "$MSE_list[[2]][[81]]\n", + "[1] 0.2338351\n", + "\n", + "$MSE_list[[2]][[82]]\n", + "[1] 0.2566708\n", + "\n", + "$MSE_list[[2]][[83]]\n", + "[1] 0.2378958\n", + "\n", + "$MSE_list[[2]][[84]]\n", + "[1] 0.3137571\n", + "\n", + "$MSE_list[[2]][[85]]\n", + "[1] 0.2979483\n", + "\n", + "$MSE_list[[2]][[86]]\n", + "[1] 0.2113458\n", + "\n", + "$MSE_list[[2]][[87]]\n", + "[1] 0.1917884\n", + "\n", + "$MSE_list[[2]][[88]]\n", + "[1] 0.2989517\n", + "\n", + "$MSE_list[[2]][[89]]\n", + "[1] 0.2794407\n", + "\n", + "$MSE_list[[2]][[90]]\n", + "[1] 0.2512136\n", + "\n", + "$MSE_list[[2]][[91]]\n", + "[1] 0.3083461\n", + "\n", + "$MSE_list[[2]][[92]]\n", + "[1] 0.2839299\n", + "\n", + "$MSE_list[[2]][[93]]\n", + "[1] 0.3606597\n", + "\n", + "$MSE_list[[2]][[94]]\n", + "[1] 0.2895296\n", + "\n", + "$MSE_list[[2]][[95]]\n", + "[1] 0.2750326\n", + "\n", + "$MSE_list[[2]][[96]]\n", + "[1] 0.2208283\n", + "\n", + "$MSE_list[[2]][[97]]\n", + "[1] 0.1672199\n", + "\n", + "$MSE_list[[2]][[98]]\n", + "[1] 0.2937431\n", + "\n", + "$MSE_list[[2]][[99]]\n", + "[1] 0.1764787\n", + "\n", + "$MSE_list[[2]][[100]]\n", + "[1] 0.4384104\n", + "\n", + "\n", + "$MSE_list[[3]]\n", + "$MSE_list[[3]][[1]]\n", + "[1] 0.2929704\n", + "\n", + "$MSE_list[[3]][[2]]\n", + "[1] 0.2233656\n", + "\n", + "$MSE_list[[3]][[3]]\n", + "[1] 0.2041969\n", + "\n", + "$MSE_list[[3]][[4]]\n", + "[1] 0.2097615\n", + "\n", + "$MSE_list[[3]][[5]]\n", + "[1] 0.2387385\n", + "\n", + "$MSE_list[[3]][[6]]\n", + "[1] 0.3512282\n", + "\n", + "$MSE_list[[3]][[7]]\n", + "[1] 0.2612912\n", + "\n", + "$MSE_list[[3]][[8]]\n", + "[1] 0.2857724\n", + "\n", + "$MSE_list[[3]][[9]]\n", + "[1] 0.3677736\n", + "\n", + "$MSE_list[[3]][[10]]\n", + "[1] 0.1194255\n", + "\n", + "$MSE_list[[3]][[11]]\n", + "[1] 0.272027\n", + "\n", + "$MSE_list[[3]][[12]]\n", + "[1] 0.3041392\n", + "\n", + "$MSE_list[[3]][[13]]\n", + "[1] 0.2578684\n", + "\n", + "$MSE_list[[3]][[14]]\n", + "[1] 0.1476042\n", + "\n", + "$MSE_list[[3]][[15]]\n", + "[1] 0.2603689\n", + "\n", + "$MSE_list[[3]][[16]]\n", + "[1] 0.2266275\n", + "\n", + "$MSE_list[[3]][[17]]\n", + "[1] 0.2125703\n", + "\n", + "$MSE_list[[3]][[18]]\n", + "[1] 0.2280372\n", + "\n", + "$MSE_list[[3]][[19]]\n", + "[1] 0.2046869\n", + "\n", + "$MSE_list[[3]][[20]]\n", + "[1] 0.2332433\n", + "\n", + "$MSE_list[[3]][[21]]\n", + "[1] 0.2316962\n", + "\n", + "$MSE_list[[3]][[22]]\n", + "[1] 0.2169094\n", + "\n", + "$MSE_list[[3]][[23]]\n", + "[1] 0.1922451\n", + "\n", + "$MSE_list[[3]][[24]]\n", + "[1] 0.1867374\n", + "\n", + "$MSE_list[[3]][[25]]\n", + "[1] 0.2397854\n", + "\n", + "$MSE_list[[3]][[26]]\n", + "[1] 0.1403073\n", + "\n", + "$MSE_list[[3]][[27]]\n", + "[1] 0.09855737\n", + "\n", + "$MSE_list[[3]][[28]]\n", + "[1] 0.2195671\n", + "\n", + "$MSE_list[[3]][[29]]\n", + "[1] 0.2533027\n", + "\n", + "$MSE_list[[3]][[30]]\n", + "[1] 0.202564\n", + "\n", + "$MSE_list[[3]][[31]]\n", + "[1] 0.1999546\n", + "\n", + "$MSE_list[[3]][[32]]\n", + "[1] 0.2845398\n", + "\n", + "$MSE_list[[3]][[33]]\n", + "[1] 0.3530278\n", + "\n", + "$MSE_list[[3]][[34]]\n", + "[1] 0.2651304\n", + "\n", + "$MSE_list[[3]][[35]]\n", + "[1] 0.2880928\n", + "\n", + "$MSE_list[[3]][[36]]\n", + "[1] 0.2329568\n", + "\n", + "$MSE_list[[3]][[37]]\n", + "[1] 0.1746315\n", + "\n", + "$MSE_list[[3]][[38]]\n", + "[1] 0.1983755\n", + "\n", + "$MSE_list[[3]][[39]]\n", + "[1] 0.1273846\n", + "\n", + "$MSE_list[[3]][[40]]\n", + "[1] 0.0458779\n", + "\n", + "$MSE_list[[3]][[41]]\n", + "[1] 0.2400597\n", + "\n", + "$MSE_list[[3]][[42]]\n", + "[1] 0.1989374\n", + "\n", + "$MSE_list[[3]][[43]]\n", + "[1] 0.2218169\n", + "\n", + "$MSE_list[[3]][[44]]\n", + "[1] 0.1346444\n", + "\n", + "$MSE_list[[3]][[45]]\n", + "[1] 0.1998965\n", + "\n", + "$MSE_list[[3]][[46]]\n", + "[1] 0.2328888\n", + "\n", + "$MSE_list[[3]][[47]]\n", + "[1] 0.2800799\n", + "\n", + "$MSE_list[[3]][[48]]\n", + "[1] 0.2280958\n", + "\n", + "$MSE_list[[3]][[49]]\n", + "[1] 0.27604\n", + "\n", + "$MSE_list[[3]][[50]]\n", + "[1] 0.2202751\n", + "\n", + "$MSE_list[[3]][[51]]\n", + "[1] 0.2289472\n", + "\n", + "$MSE_list[[3]][[52]]\n", + "[1] 0.2274501\n", + "\n", + "$MSE_list[[3]][[53]]\n", + "[1] 0.2606658\n", + "\n", + "$MSE_list[[3]][[54]]\n", + "[1] 0.3448554\n", + "\n", + "$MSE_list[[3]][[55]]\n", + "[1] 0.1674735\n", + "\n", + "$MSE_list[[3]][[56]]\n", + "[1] 0.05455618\n", + "\n", + "$MSE_list[[3]][[57]]\n", + "[1] 0.2227272\n", + "\n", + "$MSE_list[[3]][[58]]\n", + "[1] 0.1986715\n", + "\n", + "$MSE_list[[3]][[59]]\n", + "[1] 0.3282184\n", + "\n", + "$MSE_list[[3]][[60]]\n", + "[1] 0.2020548\n", + "\n", + "$MSE_list[[3]][[61]]\n", + "[1] 0.248018\n", + "\n", + "$MSE_list[[3]][[62]]\n", + "[1] 0.1332305\n", + "\n", + "$MSE_list[[3]][[63]]\n", + "[1] 0.1885403\n", + "\n", + "$MSE_list[[3]][[64]]\n", + "[1] 0.2587175\n", + "\n", + "$MSE_list[[3]][[65]]\n", + "[1] 0.1126491\n", + "\n", + "$MSE_list[[3]][[66]]\n", + "[1] 0.2170509\n", + "\n", + "$MSE_list[[3]][[67]]\n", + "[1] 0.2131416\n", + "\n", + "$MSE_list[[3]][[68]]\n", + "[1] 0.2345678\n", + "\n", + "$MSE_list[[3]][[69]]\n", + "[1] 0.155995\n", + "\n", + "$MSE_list[[3]][[70]]\n", + "[1] 0.2810633\n", + "\n", + "$MSE_list[[3]][[71]]\n", + "[1] 0.1889322\n", + "\n", + "$MSE_list[[3]][[72]]\n", + "[1] 0.1712448\n", + "\n", + "$MSE_list[[3]][[73]]\n", + "[1] 0.09501662\n", + "\n", + "$MSE_list[[3]][[74]]\n", + "[1] 0.1842818\n", + "\n", + "$MSE_list[[3]][[75]]\n", + "[1] 0.3439247\n", + "\n", + "$MSE_list[[3]][[76]]\n", + "[1] 0.2340046\n", + "\n", + "$MSE_list[[3]][[77]]\n", + "[1] 0.2532766\n", + "\n", + "$MSE_list[[3]][[78]]\n", + "[1] 0.1242772\n", + "\n", + "$MSE_list[[3]][[79]]\n", + "[1] 0.3115324\n", + "\n", + "$MSE_list[[3]][[80]]\n", + "[1] 0.2440424\n", + "\n", + "$MSE_list[[3]][[81]]\n", + "[1] 0.1771679\n", + "\n", + "$MSE_list[[3]][[82]]\n", + "[1] 0.1475143\n", + "\n", + "$MSE_list[[3]][[83]]\n", + "[1] 0.2278328\n", + "\n", + "$MSE_list[[3]][[84]]\n", + "[1] 0.247468\n", + "\n", + "$MSE_list[[3]][[85]]\n", + "[1] 0.2211633\n", + "\n", + "$MSE_list[[3]][[86]]\n", + "[1] 0.3237656\n", + "\n", + "$MSE_list[[3]][[87]]\n", + "[1] 0.3103808\n", + "\n", + "$MSE_list[[3]][[88]]\n", + "[1] 0.3277178\n", + "\n", + "$MSE_list[[3]][[89]]\n", + "[1] 0.1817612\n", + "\n", + "$MSE_list[[3]][[90]]\n", + "[1] 0.1813206\n", + "\n", + "$MSE_list[[3]][[91]]\n", + "[1] 0.2085292\n", + "\n", + "$MSE_list[[3]][[92]]\n", + "[1] 0.2421256\n", + "\n", + "$MSE_list[[3]][[93]]\n", + "[1] 0.2162168\n", + "\n", + "$MSE_list[[3]][[94]]\n", + "[1] 0.1789806\n", + "\n", + "$MSE_list[[3]][[95]]\n", + "[1] 0.1645148\n", + "\n", + "$MSE_list[[3]][[96]]\n", + "[1] 0.1575412\n", + "\n", + "$MSE_list[[3]][[97]]\n", + "[1] 0.1191651\n", + "\n", + "$MSE_list[[3]][[98]]\n", + "[1] 0.232952\n", + "\n", + "$MSE_list[[3]][[99]]\n", + "[1] 0.226977\n", + "\n", + "$MSE_list[[3]][[100]]\n", + "[1] 0.3010688\n", + "\n", + "\n", + "$MSE_list[[4]]\n", + "$MSE_list[[4]][[1]]\n", + "[1] 0.2248864\n", + "\n", + "$MSE_list[[4]][[2]]\n", + "[1] 0.1466015\n", + "\n", + "$MSE_list[[4]][[3]]\n", + "[1] 0.3443791\n", + "\n", + "$MSE_list[[4]][[4]]\n", + "[1] 0.3099624\n", + "\n", + "$MSE_list[[4]][[5]]\n", + "[1] 0.3748343\n", + "\n", + "$MSE_list[[4]][[6]]\n", + "[1] 0.1592164\n", + "\n", + "$MSE_list[[4]][[7]]\n", + "[1] 0.2910667\n", + "\n", + "$MSE_list[[4]][[8]]\n", + "[1] 0.2901417\n", + "\n", + "$MSE_list[[4]][[9]]\n", + "[1] 0.3228247\n", + "\n", + "$MSE_list[[4]][[10]]\n", + "[1] 0.2192041\n", + "\n", + "$MSE_list[[4]][[11]]\n", + "[1] 0.4234554\n", + "\n", + "$MSE_list[[4]][[12]]\n", + "[1] 0.236968\n", + "\n", + "$MSE_list[[4]][[13]]\n", + "[1] 0.1466289\n", + "\n", + "$MSE_list[[4]][[14]]\n", + "[1] 0.2790702\n", + "\n", + "$MSE_list[[4]][[15]]\n", + "[1] 0.2965562\n", + "\n", + "$MSE_list[[4]][[16]]\n", + "[1] 0.3083826\n", + "\n", + "$MSE_list[[4]][[17]]\n", + "[1] 0.2278377\n", + "\n", + "$MSE_list[[4]][[18]]\n", + "[1] 0.3161347\n", + "\n", + "$MSE_list[[4]][[19]]\n", + "[1] 0.1724798\n", + "\n", + "$MSE_list[[4]][[20]]\n", + "[1] 0.1791489\n", + "\n", + "$MSE_list[[4]][[21]]\n", + "[1] 0.07647198\n", + "\n", + "$MSE_list[[4]][[22]]\n", + "[1] 0.1942195\n", + "\n", + "$MSE_list[[4]][[23]]\n", + "[1] 0.1655844\n", + "\n", + "$MSE_list[[4]][[24]]\n", + "[1] 0.3044044\n", + "\n", + "$MSE_list[[4]][[25]]\n", + "[1] 0.1998477\n", + "\n", + "$MSE_list[[4]][[26]]\n", + "[1] 0.1686581\n", + "\n", + "$MSE_list[[4]][[27]]\n", + "[1] 0.2711925\n", + "\n", + "$MSE_list[[4]][[28]]\n", + "[1] 0.2550536\n", + "\n", + "$MSE_list[[4]][[29]]\n", + "[1] 0.2902547\n", + "\n", + "$MSE_list[[4]][[30]]\n", + "[1] 0.2892865\n", + "\n", + "$MSE_list[[4]][[31]]\n", + "[1] 0.2192846\n", + "\n", + "$MSE_list[[4]][[32]]\n", + "[1] 0.410828\n", + "\n", + "$MSE_list[[4]][[33]]\n", + "[1] 0.1255542\n", + "\n", + "$MSE_list[[4]][[34]]\n", + "[1] 0.2916346\n", + "\n", + "$MSE_list[[4]][[35]]\n", + "[1] 0.2485679\n", + "\n", + "$MSE_list[[4]][[36]]\n", + "[1] 0.3000118\n", + "\n", + "$MSE_list[[4]][[37]]\n", + "[1] 0.3623748\n", + "\n", + "$MSE_list[[4]][[38]]\n", + "[1] 0.2313209\n", + "\n", + "$MSE_list[[4]][[39]]\n", + "[1] 0.2302827\n", + "\n", + "$MSE_list[[4]][[40]]\n", + "[1] 0.2324907\n", + "\n", + "$MSE_list[[4]][[41]]\n", + "[1] 0.2552189\n", + "\n", + "$MSE_list[[4]][[42]]\n", + "[1] 0.2391819\n", + "\n", + "$MSE_list[[4]][[43]]\n", + "[1] 0.2251369\n", + "\n", + "$MSE_list[[4]][[44]]\n", + "[1] 0.2022598\n", + "\n", + "$MSE_list[[4]][[45]]\n", + "[1] 0.2342702\n", + "\n", + "$MSE_list[[4]][[46]]\n", + "[1] 0.1167085\n", + "\n", + "$MSE_list[[4]][[47]]\n", + "[1] 0.2747371\n", + "\n", + "$MSE_list[[4]][[48]]\n", + "[1] 0.365052\n", + "\n", + "$MSE_list[[4]][[49]]\n", + "[1] 0.1823668\n", + "\n", + "$MSE_list[[4]][[50]]\n", + "[1] 0.2882025\n", + "\n", + "$MSE_list[[4]][[51]]\n", + "[1] 0.156182\n", + "\n", + "$MSE_list[[4]][[52]]\n", + "[1] 0.2472314\n", + "\n", + "$MSE_list[[4]][[53]]\n", + "[1] 0.2077844\n", + "\n", + "$MSE_list[[4]][[54]]\n", + "[1] 0.2870037\n", + "\n", + "$MSE_list[[4]][[55]]\n", + "[1] 0.2482448\n", + "\n", + "$MSE_list[[4]][[56]]\n", + "[1] 0.2436264\n", + "\n", + "$MSE_list[[4]][[57]]\n", + "[1] 0.1893383\n", + "\n", + "$MSE_list[[4]][[58]]\n", + "[1] 0.4146616\n", + "\n", + "$MSE_list[[4]][[59]]\n", + "[1] 0.1750344\n", + "\n", + "$MSE_list[[4]][[60]]\n", + "[1] 0.1921187\n", + "\n", + "$MSE_list[[4]][[61]]\n", + "[1] 0.2022911\n", + "\n", + "$MSE_list[[4]][[62]]\n", + "[1] 0.1977226\n", + "\n", + "$MSE_list[[4]][[63]]\n", + "[1] 0.1936954\n", + "\n", + "$MSE_list[[4]][[64]]\n", + "[1] 0.2977248\n", + "\n", + "$MSE_list[[4]][[65]]\n", + "[1] 0.1774329\n", + "\n", + "$MSE_list[[4]][[66]]\n", + "[1] 0.2509899\n", + "\n", + "$MSE_list[[4]][[67]]\n", + "[1] 0.1677329\n", + "\n", + "$MSE_list[[4]][[68]]\n", + "[1] 0.2745723\n", + "\n", + "$MSE_list[[4]][[69]]\n", + "[1] 0.3149114\n", + "\n", + "$MSE_list[[4]][[70]]\n", + "[1] 0.3165538\n", + "\n", + "$MSE_list[[4]][[71]]\n", + "[1] 0.2262209\n", + "\n", + "$MSE_list[[4]][[72]]\n", + "[1] 0.1389218\n", + "\n", + "$MSE_list[[4]][[73]]\n", + "[1] 0.1407225\n", + "\n", + "$MSE_list[[4]][[74]]\n", + "[1] 0.2776254\n", + "\n", + "$MSE_list[[4]][[75]]\n", + "[1] 0.1612338\n", + "\n", + "$MSE_list[[4]][[76]]\n", + "[1] 0.31157\n", + "\n", + "$MSE_list[[4]][[77]]\n", + "[1] 0.2859593\n", + "\n", + "$MSE_list[[4]][[78]]\n", + "[1] 0.2854961\n", + "\n", + "$MSE_list[[4]][[79]]\n", + "[1] 0.20461\n", + "\n", + "$MSE_list[[4]][[80]]\n", + "[1] 0.2217661\n", + "\n", + "$MSE_list[[4]][[81]]\n", + "[1] 0.1944264\n", + "\n", + "$MSE_list[[4]][[82]]\n", + "[1] 0.2228298\n", + "\n", + "$MSE_list[[4]][[83]]\n", + "[1] 0.2637545\n", + "\n", + "$MSE_list[[4]][[84]]\n", + "[1] 0.3377236\n", + "\n", + "$MSE_list[[4]][[85]]\n", + "[1] 0.2897051\n", + "\n", + "$MSE_list[[4]][[86]]\n", + "[1] 0.2069745\n", + "\n", + "$MSE_list[[4]][[87]]\n", + "[1] 0.1606086\n", + "\n", + "$MSE_list[[4]][[88]]\n", + "[1] 0.3633496\n", + "\n", + "$MSE_list[[4]][[89]]\n", + "[1] 0.2650087\n", + "\n", + "$MSE_list[[4]][[90]]\n", + "[1] 0.2700445\n", + "\n", + "$MSE_list[[4]][[91]]\n", + "[1] 0.3164733\n", + "\n", + "$MSE_list[[4]][[92]]\n", + "[1] 0.1936225\n", + "\n", + "$MSE_list[[4]][[93]]\n", + "[1] 0.2790247\n", + "\n", + "$MSE_list[[4]][[94]]\n", + "[1] 0.3046357\n", + "\n", + "$MSE_list[[4]][[95]]\n", + "[1] 0.1526337\n", + "\n", + "$MSE_list[[4]][[96]]\n", + "[1] 0.3304977\n", + "\n", + "$MSE_list[[4]][[97]]\n", + "[1] 0.1700234\n", + "\n", + "$MSE_list[[4]][[98]]\n", + "[1] 0.3040197\n", + "\n", + "$MSE_list[[4]][[99]]\n", + "[1] 0.1841284\n", + "\n", + "$MSE_list[[4]][[100]]\n", + "[1] 0.3192343\n", + "\n", + "\n", + "$MSE_list[[5]]\n", + "$MSE_list[[5]][[1]]\n", + "[1] 0.184968\n", + "\n", + "$MSE_list[[5]][[2]]\n", + "[1] 0.2128061\n", + "\n", + "$MSE_list[[5]][[3]]\n", + "[1] 0.3390771\n", + "\n", + "$MSE_list[[5]][[4]]\n", + "[1] 0.2960211\n", + "\n", + "$MSE_list[[5]][[5]]\n", + "[1] 0.1954007\n", + "\n", + "$MSE_list[[5]][[6]]\n", + "[1] 0.299608\n", + "\n", + "$MSE_list[[5]][[7]]\n", + "[1] 0.1250083\n", + "\n", + "$MSE_list[[5]][[8]]\n", + "[1] 0.3117135\n", + "\n", + "$MSE_list[[5]][[9]]\n", + "[1] 0.09259235\n", + "\n", + "$MSE_list[[5]][[10]]\n", + "[1] 0.3210195\n", + "\n", + "$MSE_list[[5]][[11]]\n", + "[1] 0.1230112\n", + "\n", + "$MSE_list[[5]][[12]]\n", + "[1] 0.2498927\n", + "\n", + "$MSE_list[[5]][[13]]\n", + "[1] 0.244275\n", + "\n", + "$MSE_list[[5]][[14]]\n", + "[1] 0.179346\n", + "\n", + "$MSE_list[[5]][[15]]\n", + "[1] 0.1802138\n", + "\n", + "$MSE_list[[5]][[16]]\n", + "[1] 0.3250471\n", + "\n", + "$MSE_list[[5]][[17]]\n", + "[1] 0.1952543\n", + "\n", + "$MSE_list[[5]][[18]]\n", + "[1] 0.2017403\n", + "\n", + "$MSE_list[[5]][[19]]\n", + "[1] 0.2291792\n", + "\n", + "$MSE_list[[5]][[20]]\n", + "[1] 0.3658512\n", + "\n", + "$MSE_list[[5]][[21]]\n", + "[1] 0.2762013\n", + "\n", + "$MSE_list[[5]][[22]]\n", + "[1] 0.07681098\n", + "\n", + "$MSE_list[[5]][[23]]\n", + "[1] 0.2754873\n", + "\n", + "$MSE_list[[5]][[24]]\n", + "[1] 0.2022137\n", + "\n", + "$MSE_list[[5]][[25]]\n", + "[1] 0.1456024\n", + "\n", + "$MSE_list[[5]][[26]]\n", + "[1] 0.2866104\n", + "\n", + "$MSE_list[[5]][[27]]\n", + "[1] 0.2096412\n", + "\n", + "$MSE_list[[5]][[28]]\n", + "[1] 0.3861407\n", + "\n", + "$MSE_list[[5]][[29]]\n", + "[1] 0.2786115\n", + "\n", + "$MSE_list[[5]][[30]]\n", + "[1] 0.1901193\n", + "\n", + "$MSE_list[[5]][[31]]\n", + "[1] 0.3568058\n", + "\n", + "$MSE_list[[5]][[32]]\n", + "[1] 0.3057465\n", + "\n", + "$MSE_list[[5]][[33]]\n", + "[1] 0.3677893\n", + "\n", + "$MSE_list[[5]][[34]]\n", + "[1] 0.3445199\n", + "\n", + "$MSE_list[[5]][[35]]\n", + "[1] 0.1171011\n", + "\n", + "$MSE_list[[5]][[36]]\n", + "[1] 0.1626755\n", + "\n", + "$MSE_list[[5]][[37]]\n", + "[1] 0.2470414\n", + "\n", + "$MSE_list[[5]][[38]]\n", + "[1] 0.1715154\n", + "\n", + "$MSE_list[[5]][[39]]\n", + "[1] 0.2196185\n", + "\n", + "$MSE_list[[5]][[40]]\n", + "[1] 0.2416526\n", + "\n", + "$MSE_list[[5]][[41]]\n", + "[1] 0.2501956\n", + "\n", + "$MSE_list[[5]][[42]]\n", + "[1] 0.1668939\n", + "\n", + "$MSE_list[[5]][[43]]\n", + "[1] 0.2604797\n", + "\n", + "$MSE_list[[5]][[44]]\n", + "[1] 0.1859699\n", + "\n", + "$MSE_list[[5]][[45]]\n", + "[1] 0.2513239\n", + "\n", + "$MSE_list[[5]][[46]]\n", + "[1] 0.2035612\n", + "\n", + "$MSE_list[[5]][[47]]\n", + "[1] 0.2005753\n", + "\n", + "$MSE_list[[5]][[48]]\n", + "[1] 0.2622322\n", + "\n", + "$MSE_list[[5]][[49]]\n", + "[1] 0.2409556\n", + "\n", + "$MSE_list[[5]][[50]]\n", + "[1] 0.3570128\n", + "\n", + "$MSE_list[[5]][[51]]\n", + "[1] 0.109156\n", + "\n", + "$MSE_list[[5]][[52]]\n", + "[1] 0.2944558\n", + "\n", + "$MSE_list[[5]][[53]]\n", + "[1] 0.2825833\n", + "\n", + "$MSE_list[[5]][[54]]\n", + "[1] 0.2725683\n", + "\n", + "$MSE_list[[5]][[55]]\n", + "[1] 0.2279132\n", + "\n", + "$MSE_list[[5]][[56]]\n", + "[1] 0.1630976\n", + "\n", + "$MSE_list[[5]][[57]]\n", + "[1] 0.1402938\n", + "\n", + "$MSE_list[[5]][[58]]\n", + "[1] 0.3322879\n", + "\n", + "$MSE_list[[5]][[59]]\n", + "[1] 0.3543585\n", + "\n", + "$MSE_list[[5]][[60]]\n", + "[1] 0.2617909\n", + "\n", + "$MSE_list[[5]][[61]]\n", + "[1] 0.1987565\n", + "\n", + "$MSE_list[[5]][[62]]\n", + "[1] 0.1702936\n", + "\n", + "$MSE_list[[5]][[63]]\n", + "[1] 0.2480222\n", + "\n", + "$MSE_list[[5]][[64]]\n", + "[1] 0.2164107\n", + "\n", + "$MSE_list[[5]][[65]]\n", + "[1] 0.166431\n", + "\n", + "$MSE_list[[5]][[66]]\n", + "[1] 0.2538623\n", + "\n", + "$MSE_list[[5]][[67]]\n", + "[1] 0.2135835\n", + "\n", + "$MSE_list[[5]][[68]]\n", + "[1] 0.3746654\n", + "\n", + "$MSE_list[[5]][[69]]\n", + "[1] 0.1360777\n", + "\n", + "$MSE_list[[5]][[70]]\n", + "[1] 0.1345957\n", + "\n", + "$MSE_list[[5]][[71]]\n", + "[1] 0.2779849\n", + "\n", + "$MSE_list[[5]][[72]]\n", + "[1] 0.3040456\n", + "\n", + "$MSE_list[[5]][[73]]\n", + "[1] 0.360298\n", + "\n", + "$MSE_list[[5]][[74]]\n", + "[1] 0.2372394\n", + "\n", + "$MSE_list[[5]][[75]]\n", + "[1] 0.2022736\n", + "\n", + "$MSE_list[[5]][[76]]\n", + "[1] 0.1932705\n", + "\n", + "$MSE_list[[5]][[77]]\n", + "[1] 0.2622654\n", + "\n", + "$MSE_list[[5]][[78]]\n", + "[1] 0.2945244\n", + "\n", + "$MSE_list[[5]][[79]]\n", + "[1] 0.2877596\n", + "\n", + "$MSE_list[[5]][[80]]\n", + "[1] 0.1671525\n", + "\n", + "$MSE_list[[5]][[81]]\n", + "[1] 0.07882395\n", + "\n", + "$MSE_list[[5]][[82]]\n", + "[1] 0.2470113\n", + "\n", + "$MSE_list[[5]][[83]]\n", + "[1] 0.1540083\n", + "\n", + "$MSE_list[[5]][[84]]\n", + "[1] 0.2551284\n", + "\n", + "$MSE_list[[5]][[85]]\n", + "[1] 0.2307258\n", + "\n", + "$MSE_list[[5]][[86]]\n", + "[1] 0.1548514\n", + "\n", + "$MSE_list[[5]][[87]]\n", + "[1] 0.1320618\n", + "\n", + "$MSE_list[[5]][[88]]\n", + "[1] 0.2130944\n", + "\n", + "$MSE_list[[5]][[89]]\n", + "[1] 0.1062167\n", + "\n", + "$MSE_list[[5]][[90]]\n", + "[1] 0.3677141\n", + "\n", + "$MSE_list[[5]][[91]]\n", + "[1] 0.1067639\n", + "\n", + "$MSE_list[[5]][[92]]\n", + "[1] 0.2499259\n", + "\n", + "$MSE_list[[5]][[93]]\n", + "[1] 0.1187911\n", + "\n", + "$MSE_list[[5]][[94]]\n", + "[1] 0.147275\n", + "\n", + "$MSE_list[[5]][[95]]\n", + "[1] 0.2046949\n", + "\n", + "$MSE_list[[5]][[96]]\n", + "[1] 0.1825325\n", + "\n", + "$MSE_list[[5]][[97]]\n", + "[1] 0.1126124\n", + "\n", + "$MSE_list[[5]][[98]]\n", + "[1] 0.2301578\n", + "\n", + "$MSE_list[[5]][[99]]\n", + "[1] 0.2376608\n", + "\n", + "$MSE_list[[5]][[100]]\n", + "[1] 0.2983472\n", + "\n", + "\n", + "$MSE_list[[6]]\n", + "$MSE_list[[6]][[1]]\n", + "[1] 0.3108821\n", + "\n", + "$MSE_list[[6]][[2]]\n", + "[1] 0.3092296\n", + "\n", + "$MSE_list[[6]][[3]]\n", + "[1] 0.2745456\n", + "\n", + "$MSE_list[[6]][[4]]\n", + "[1] 0.1734712\n", + "\n", + "$MSE_list[[6]][[5]]\n", + "[1] 0.2159996\n", + "\n", + "$MSE_list[[6]][[6]]\n", + "[1] 0.3095678\n", + "\n", + "$MSE_list[[6]][[7]]\n", + "[1] 0.3558525\n", + "\n", + "$MSE_list[[6]][[8]]\n", + "[1] 0.2532115\n", + "\n", + "$MSE_list[[6]][[9]]\n", + "[1] 0.2751321\n", + "\n", + "$MSE_list[[6]][[10]]\n", + "[1] 0.3924145\n", + "\n", + "$MSE_list[[6]][[11]]\n", + "[1] 0.3180764\n", + "\n", + "$MSE_list[[6]][[12]]\n", + "[1] 0.132459\n", + "\n", + "$MSE_list[[6]][[13]]\n", + "[1] 0.1511921\n", + "\n", + "$MSE_list[[6]][[14]]\n", + "[1] 0.4386124\n", + "\n", + "$MSE_list[[6]][[15]]\n", + "[1] 0.2885438\n", + "\n", + "$MSE_list[[6]][[16]]\n", + "[1] 0.2869473\n", + "\n", + "$MSE_list[[6]][[17]]\n", + "[1] 0.288954\n", + "\n", + "$MSE_list[[6]][[18]]\n", + "[1] 0.2361978\n", + "\n", + "$MSE_list[[6]][[19]]\n", + "[1] 0.2388864\n", + "\n", + "$MSE_list[[6]][[20]]\n", + "[1] 0.2835112\n", + "\n", + "$MSE_list[[6]][[21]]\n", + "[1] 0.1243079\n", + "\n", + "$MSE_list[[6]][[22]]\n", + "[1] 0.2223179\n", + "\n", + "$MSE_list[[6]][[23]]\n", + "[1] 0.2552089\n", + "\n", + "$MSE_list[[6]][[24]]\n", + "[1] 0.2267893\n", + "\n", + "$MSE_list[[6]][[25]]\n", + "[1] 0.237939\n", + "\n", + "$MSE_list[[6]][[26]]\n", + "[1] 0.287403\n", + "\n", + "$MSE_list[[6]][[27]]\n", + "[1] 0.258236\n", + "\n", + "$MSE_list[[6]][[28]]\n", + "[1] 0.4194562\n", + "\n", + "$MSE_list[[6]][[29]]\n", + "[1] 0.3918484\n", + "\n", + "$MSE_list[[6]][[30]]\n", + "[1] 0.3374296\n", + "\n", + "$MSE_list[[6]][[31]]\n", + "[1] 0.1899485\n", + "\n", + "$MSE_list[[6]][[32]]\n", + "[1] 0.226548\n", + "\n", + "$MSE_list[[6]][[33]]\n", + "[1] 0.2892773\n", + "\n", + "$MSE_list[[6]][[34]]\n", + "[1] 0.4535653\n", + "\n", + "$MSE_list[[6]][[35]]\n", + "[1] 0.1165039\n", + "\n", + "$MSE_list[[6]][[36]]\n", + "[1] 0.3184535\n", + "\n", + "$MSE_list[[6]][[37]]\n", + "[1] 0.425678\n", + "\n", + "$MSE_list[[6]][[38]]\n", + "[1] 0.1844752\n", + "\n", + "$MSE_list[[6]][[39]]\n", + "[1] 0.2613492\n", + "\n", + "$MSE_list[[6]][[40]]\n", + "[1] 0.294425\n", + "\n", + "$MSE_list[[6]][[41]]\n", + "[1] 0.297029\n", + "\n", + "$MSE_list[[6]][[42]]\n", + "[1] 0.341265\n", + "\n", + "$MSE_list[[6]][[43]]\n", + "[1] 0.2642088\n", + "\n", + "$MSE_list[[6]][[44]]\n", + "[1] 0.2972976\n", + "\n", + "$MSE_list[[6]][[45]]\n", + "[1] 0.3713539\n", + "\n", + "$MSE_list[[6]][[46]]\n", + "[1] 0.240522\n", + "\n", + "$MSE_list[[6]][[47]]\n", + "[1] 0.2192378\n", + "\n", + "$MSE_list[[6]][[48]]\n", + "[1] 0.1727365\n", + "\n", + "$MSE_list[[6]][[49]]\n", + "[1] 0.2999757\n", + "\n", + "$MSE_list[[6]][[50]]\n", + "[1] 0.3480905\n", + "\n", + "$MSE_list[[6]][[51]]\n", + "[1] 0.2464255\n", + "\n", + "$MSE_list[[6]][[52]]\n", + "[1] 0.5311131\n", + "\n", + "$MSE_list[[6]][[53]]\n", + "[1] 0.1550858\n", + "\n", + "$MSE_list[[6]][[54]]\n", + "[1] 0.3191701\n", + "\n", + "$MSE_list[[6]][[55]]\n", + "[1] 0.1811566\n", + "\n", + "$MSE_list[[6]][[56]]\n", + "[1] 0.1587457\n", + "\n", + "$MSE_list[[6]][[57]]\n", + "[1] 0.1690038\n", + "\n", + "$MSE_list[[6]][[58]]\n", + "[1] 0.2339993\n", + "\n", + "$MSE_list[[6]][[59]]\n", + "[1] 0.182462\n", + "\n", + "$MSE_list[[6]][[60]]\n", + "[1] 0.1730252\n", + "\n", + "$MSE_list[[6]][[61]]\n", + "[1] 0.1885722\n", + "\n", + "$MSE_list[[6]][[62]]\n", + "[1] 0.1908504\n", + "\n", + "$MSE_list[[6]][[63]]\n", + "[1] 0.3004679\n", + "\n", + "$MSE_list[[6]][[64]]\n", + "[1] 0.2868218\n", + "\n", + "$MSE_list[[6]][[65]]\n", + "[1] 0.4026386\n", + "\n", + "$MSE_list[[6]][[66]]\n", + "[1] 0.2496515\n", + "\n", + "$MSE_list[[6]][[67]]\n", + "[1] 0.3460629\n", + "\n", + "$MSE_list[[6]][[68]]\n", + "[1] 0.3166805\n", + "\n", + "$MSE_list[[6]][[69]]\n", + "[1] 0.2181116\n", + "\n", + "$MSE_list[[6]][[70]]\n", + "[1] 0.2652485\n", + "\n", + "$MSE_list[[6]][[71]]\n", + "[1] 0.1821383\n", + "\n", + "$MSE_list[[6]][[72]]\n", + "[1] 0.236083\n", + "\n", + "$MSE_list[[6]][[73]]\n", + "[1] 0.2600376\n", + "\n", + "$MSE_list[[6]][[74]]\n", + "[1] 0.182194\n", + "\n", + "$MSE_list[[6]][[75]]\n", + "[1] 0.2747917\n", + "\n", + "$MSE_list[[6]][[76]]\n", + "[1] 0.3715036\n", + "\n", + "$MSE_list[[6]][[77]]\n", + "[1] 0.1734412\n", + "\n", + "$MSE_list[[6]][[78]]\n", + "[1] 0.2912318\n", + "\n", + "$MSE_list[[6]][[79]]\n", + "[1] 0.3612159\n", + "\n", + "$MSE_list[[6]][[80]]\n", + "[1] 0.251372\n", + "\n", + "$MSE_list[[6]][[81]]\n", + "[1] 0.2559294\n", + "\n", + "$MSE_list[[6]][[82]]\n", + "[1] 0.1460742\n", + "\n", + "$MSE_list[[6]][[83]]\n", + "[1] 0.365596\n", + "\n", + "$MSE_list[[6]][[84]]\n", + "[1] 0.1326089\n", + "\n", + "$MSE_list[[6]][[85]]\n", + "[1] 0.3340163\n", + "\n", + "$MSE_list[[6]][[86]]\n", + "[1] 0.3282369\n", + "\n", + "$MSE_list[[6]][[87]]\n", + "[1] 0.264322\n", + "\n", + "$MSE_list[[6]][[88]]\n", + "[1] 0.3637823\n", + "\n", + "$MSE_list[[6]][[89]]\n", + "[1] 0.2450256\n", + "\n", + "$MSE_list[[6]][[90]]\n", + "[1] 0.1732409\n", + "\n", + "$MSE_list[[6]][[91]]\n", + "[1] 0.3673073\n", + "\n", + "$MSE_list[[6]][[92]]\n", + "[1] 0.1534899\n", + "\n", + "$MSE_list[[6]][[93]]\n", + "[1] 0.2717494\n", + "\n", + "$MSE_list[[6]][[94]]\n", + "[1] 0.1944929\n", + "\n", + "$MSE_list[[6]][[95]]\n", + "[1] 0.3295655\n", + "\n", + "$MSE_list[[6]][[96]]\n", + "[1] 0.3023817\n", + "\n", + "$MSE_list[[6]][[97]]\n", + "[1] 0.2915714\n", + "\n", + "$MSE_list[[6]][[98]]\n", + "[1] 0.2965912\n", + "\n", + "$MSE_list[[6]][[99]]\n", + "[1] 0.2499445\n", + "\n", + "$MSE_list[[6]][[100]]\n", + "[1] 0.163524\n", + "\n", + "\n", + "$MSE_list[[7]]\n", + "$MSE_list[[7]][[1]]\n", + "[1] 0.2606203\n", + "\n", + "$MSE_list[[7]][[2]]\n", + "[1] 0.3555004\n", + "\n", + "$MSE_list[[7]][[3]]\n", + "[1] 0.1539164\n", + "\n", + "$MSE_list[[7]][[4]]\n", + "[1] 0.2625945\n", + "\n", + "$MSE_list[[7]][[5]]\n", + "[1] 0.2180834\n", + "\n", + "$MSE_list[[7]][[6]]\n", + "[1] 0.2770451\n", + "\n", + "$MSE_list[[7]][[7]]\n", + "[1] 0.2493799\n", + "\n", + "$MSE_list[[7]][[8]]\n", + "[1] 0.283024\n", + "\n", + "$MSE_list[[7]][[9]]\n", + "[1] 0.1643107\n", + "\n", + "$MSE_list[[7]][[10]]\n", + "[1] 0.367156\n", + "\n", + "$MSE_list[[7]][[11]]\n", + "[1] 0.2135262\n", + "\n", + "$MSE_list[[7]][[12]]\n", + "[1] 0.1719121\n", + "\n", + "$MSE_list[[7]][[13]]\n", + "[1] 0.2197041\n", + "\n", + "$MSE_list[[7]][[14]]\n", + "[1] 0.2818865\n", + "\n", + "$MSE_list[[7]][[15]]\n", + "[1] 0.1981002\n", + "\n", + "$MSE_list[[7]][[16]]\n", + "[1] 0.1990575\n", + "\n", + "$MSE_list[[7]][[17]]\n", + "[1] 0.3024399\n", + "\n", + "$MSE_list[[7]][[18]]\n", + "[1] 0.277434\n", + "\n", + "$MSE_list[[7]][[19]]\n", + "[1] 0.296335\n", + "\n", + "$MSE_list[[7]][[20]]\n", + "[1] 0.1863253\n", + "\n", + "$MSE_list[[7]][[21]]\n", + "[1] 0.2698174\n", + "\n", + "$MSE_list[[7]][[22]]\n", + "[1] 0.1933077\n", + "\n", + "$MSE_list[[7]][[23]]\n", + "[1] 0.2467086\n", + "\n", + "$MSE_list[[7]][[24]]\n", + "[1] 0.2274895\n", + "\n", + "$MSE_list[[7]][[25]]\n", + "[1] 0.2043087\n", + "\n", + "$MSE_list[[7]][[26]]\n", + "[1] 0.2545038\n", + "\n", + "$MSE_list[[7]][[27]]\n", + "[1] 0.3062496\n", + "\n", + "$MSE_list[[7]][[28]]\n", + "[1] 0.241367\n", + "\n", + "$MSE_list[[7]][[29]]\n", + "[1] 0.1212332\n", + "\n", + "$MSE_list[[7]][[30]]\n", + "[1] 0.17104\n", + "\n", + "$MSE_list[[7]][[31]]\n", + "[1] 0.2420993\n", + "\n", + "$MSE_list[[7]][[32]]\n", + "[1] 0.2879258\n", + "\n", + "$MSE_list[[7]][[33]]\n", + "[1] 0.324364\n", + "\n", + "$MSE_list[[7]][[34]]\n", + "[1] 0.3626421\n", + "\n", + "$MSE_list[[7]][[35]]\n", + "[1] 0.1816532\n", + "\n", + "$MSE_list[[7]][[36]]\n", + "[1] 0.2305113\n", + "\n", + "$MSE_list[[7]][[37]]\n", + "[1] 0.1534592\n", + "\n", + "$MSE_list[[7]][[38]]\n", + "[1] 0.3469692\n", + "\n", + "$MSE_list[[7]][[39]]\n", + "[1] 0.2852478\n", + "\n", + "$MSE_list[[7]][[40]]\n", + "[1] 0.2489672\n", + "\n", + "$MSE_list[[7]][[41]]\n", + "[1] 0.3352748\n", + "\n", + "$MSE_list[[7]][[42]]\n", + "[1] 0.2365763\n", + "\n", + "$MSE_list[[7]][[43]]\n", + "[1] 0.2681005\n", + "\n", + "$MSE_list[[7]][[44]]\n", + "[1] 0.1761547\n", + "\n", + "$MSE_list[[7]][[45]]\n", + "[1] 0.1810009\n", + "\n", + "$MSE_list[[7]][[46]]\n", + "[1] 0.201\n", + "\n", + "$MSE_list[[7]][[47]]\n", + "[1] 0.2963992\n", + "\n", + "$MSE_list[[7]][[48]]\n", + "[1] 0.1127937\n", + "\n", + "$MSE_list[[7]][[49]]\n", + "[1] 0.2350512\n", + "\n", + "$MSE_list[[7]][[50]]\n", + "[1] 0.177606\n", + "\n", + "$MSE_list[[7]][[51]]\n", + "[1] 0.288108\n", + "\n", + "$MSE_list[[7]][[52]]\n", + "[1] 0.3283265\n", + "\n", + "$MSE_list[[7]][[53]]\n", + "[1] 0.232845\n", + "\n", + "$MSE_list[[7]][[54]]\n", + "[1] 0.1518649\n", + "\n", + "$MSE_list[[7]][[55]]\n", + "[1] 0.2451064\n", + "\n", + "$MSE_list[[7]][[56]]\n", + "[1] 0.2373982\n", + "\n", + "$MSE_list[[7]][[57]]\n", + "[1] 0.4055984\n", + "\n", + "$MSE_list[[7]][[58]]\n", + "[1] 0.4298919\n", + "\n", + "$MSE_list[[7]][[59]]\n", + "[1] 0.2058912\n", + "\n", + "$MSE_list[[7]][[60]]\n", + "[1] 0.1694151\n", + "\n", + "$MSE_list[[7]][[61]]\n", + "[1] 0.1824421\n", + "\n", + "$MSE_list[[7]][[62]]\n", + "[1] 0.2440215\n", + "\n", + "$MSE_list[[7]][[63]]\n", + "[1] 0.326137\n", + "\n", + "$MSE_list[[7]][[64]]\n", + "[1] 0.4155243\n", + "\n", + "$MSE_list[[7]][[65]]\n", + "[1] 0.2449812\n", + "\n", + "$MSE_list[[7]][[66]]\n", + "[1] 0.2721088\n", + "\n", + "$MSE_list[[7]][[67]]\n", + "[1] 0.3120258\n", + "\n", + "$MSE_list[[7]][[68]]\n", + "[1] 0.3383185\n", + "\n", + "$MSE_list[[7]][[69]]\n", + "[1] 0.4611881\n", + "\n", + "$MSE_list[[7]][[70]]\n", + "[1] 0.1988651\n", + "\n", + "$MSE_list[[7]][[71]]\n", + "[1] 0.324569\n", + "\n", + "$MSE_list[[7]][[72]]\n", + "[1] 0.1632705\n", + "\n", + "$MSE_list[[7]][[73]]\n", + "[1] 0.3232826\n", + "\n", + "$MSE_list[[7]][[74]]\n", + "[1] 0.3975991\n", + "\n", + "$MSE_list[[7]][[75]]\n", + "[1] 0.1551344\n", + "\n", + "$MSE_list[[7]][[76]]\n", + "[1] 0.2134953\n", + "\n", + "$MSE_list[[7]][[77]]\n", + "[1] 0.165472\n", + "\n", + "$MSE_list[[7]][[78]]\n", + "[1] 0.2101581\n", + "\n", + "$MSE_list[[7]][[79]]\n", + "[1] 0.2824656\n", + "\n", + "$MSE_list[[7]][[80]]\n", + "[1] 0.3210337\n", + "\n", + "$MSE_list[[7]][[81]]\n", + "[1] 0.2539736\n", + "\n", + "$MSE_list[[7]][[82]]\n", + "[1] 0.3025221\n", + "\n", + "$MSE_list[[7]][[83]]\n", + "[1] 0.3389068\n", + "\n", + "$MSE_list[[7]][[84]]\n", + "[1] 0.3658948\n", + "\n", + "$MSE_list[[7]][[85]]\n", + "[1] 0.296097\n", + "\n", + "$MSE_list[[7]][[86]]\n", + "[1] 0.2786219\n", + "\n", + "$MSE_list[[7]][[87]]\n", + "[1] 0.1587385\n", + "\n", + "$MSE_list[[7]][[88]]\n", + "[1] 0.2748367\n", + "\n", + "$MSE_list[[7]][[89]]\n", + "[1] 0.2226694\n", + "\n", + "$MSE_list[[7]][[90]]\n", + "[1] 0.2187377\n", + "\n", + "$MSE_list[[7]][[91]]\n", + "[1] 0.294364\n", + "\n", + "$MSE_list[[7]][[92]]\n", + "[1] 0.3081042\n", + "\n", + "$MSE_list[[7]][[93]]\n", + "[1] 0.2901121\n", + "\n", + "$MSE_list[[7]][[94]]\n", + "[1] 0.2490208\n", + "\n", + "$MSE_list[[7]][[95]]\n", + "[1] 0.3234084\n", + "\n", + "$MSE_list[[7]][[96]]\n", + "[1] 0.2037308\n", + "\n", + "$MSE_list[[7]][[97]]\n", + "[1] 0.2195575\n", + "\n", + "$MSE_list[[7]][[98]]\n", + "[1] 0.3365678\n", + "\n", + "$MSE_list[[7]][[99]]\n", + "[1] 0.2240714\n", + "\n", + "$MSE_list[[7]][[100]]\n", + "[1] 0.2458348\n", + "\n", + "\n", + "$MSE_list[[8]]\n", + "$MSE_list[[8]][[1]]\n", + "[1] 0.1229705\n", + "\n", + "$MSE_list[[8]][[2]]\n", + "[1] 0.3130148\n", + "\n", + "$MSE_list[[8]][[3]]\n", + "[1] 0.2561338\n", + "\n", + "$MSE_list[[8]][[4]]\n", + "[1] 0.16472\n", + "\n", + "$MSE_list[[8]][[5]]\n", + "[1] 0.1515116\n", + "\n", + "$MSE_list[[8]][[6]]\n", + "[1] 0.2241049\n", + "\n", + "$MSE_list[[8]][[7]]\n", + "[1] 0.2547412\n", + "\n", + "$MSE_list[[8]][[8]]\n", + "[1] 0.3224125\n", + "\n", + "$MSE_list[[8]][[9]]\n", + "[1] 0.3251937\n", + "\n", + "$MSE_list[[8]][[10]]\n", + "[1] 0.2028794\n", + "\n", + "$MSE_list[[8]][[11]]\n", + "[1] 0.2216006\n", + "\n", + "$MSE_list[[8]][[12]]\n", + "[1] 0.2466042\n", + "\n", + "$MSE_list[[8]][[13]]\n", + "[1] 0.2352628\n", + "\n", + "$MSE_list[[8]][[14]]\n", + "[1] 0.2151929\n", + "\n", + "$MSE_list[[8]][[15]]\n", + "[1] 0.3454695\n", + "\n", + "$MSE_list[[8]][[16]]\n", + "[1] 0.2465578\n", + "\n", + "$MSE_list[[8]][[17]]\n", + "[1] 0.2619346\n", + "\n", + "$MSE_list[[8]][[18]]\n", + "[1] 0.2111284\n", + "\n", + "$MSE_list[[8]][[19]]\n", + "[1] 0.2567538\n", + "\n", + "$MSE_list[[8]][[20]]\n", + "[1] 0.3025376\n", + "\n", + "$MSE_list[[8]][[21]]\n", + "[1] 0.1891134\n", + "\n", + "$MSE_list[[8]][[22]]\n", + "[1] 0.2172696\n", + "\n", + "$MSE_list[[8]][[23]]\n", + "[1] 0.2068632\n", + "\n", + "$MSE_list[[8]][[24]]\n", + "[1] 0.3436266\n", + "\n", + "$MSE_list[[8]][[25]]\n", + "[1] 0.2772079\n", + "\n", + "$MSE_list[[8]][[26]]\n", + "[1] 0.2807438\n", + "\n", + "$MSE_list[[8]][[27]]\n", + "[1] 0.1871096\n", + "\n", + "$MSE_list[[8]][[28]]\n", + "[1] 0.2854355\n", + "\n", + "$MSE_list[[8]][[29]]\n", + "[1] 0.2437563\n", + "\n", + "$MSE_list[[8]][[30]]\n", + "[1] 0.2545366\n", + "\n", + "$MSE_list[[8]][[31]]\n", + "[1] 0.2106453\n", + "\n", + "$MSE_list[[8]][[32]]\n", + "[1] 0.2545135\n", + "\n", + "$MSE_list[[8]][[33]]\n", + "[1] 0.3741276\n", + "\n", + "$MSE_list[[8]][[34]]\n", + "[1] 0.2420044\n", + "\n", + "$MSE_list[[8]][[35]]\n", + "[1] 0.190118\n", + "\n", + "$MSE_list[[8]][[36]]\n", + "[1] 0.3479033\n", + "\n", + "$MSE_list[[8]][[37]]\n", + "[1] 0.1820067\n", + "\n", + "$MSE_list[[8]][[38]]\n", + "[1] 0.3404746\n", + "\n", + "$MSE_list[[8]][[39]]\n", + "[1] 0.1846741\n", + "\n", + "$MSE_list[[8]][[40]]\n", + "[1] 0.3793382\n", + "\n", + "$MSE_list[[8]][[41]]\n", + "[1] 0.2471859\n", + "\n", + "$MSE_list[[8]][[42]]\n", + "[1] 0.2338866\n", + "\n", + "$MSE_list[[8]][[43]]\n", + "[1] 0.2174967\n", + "\n", + "$MSE_list[[8]][[44]]\n", + "[1] 0.2475394\n", + "\n", + "$MSE_list[[8]][[45]]\n", + "[1] 0.1386579\n", + "\n", + "$MSE_list[[8]][[46]]\n", + "[1] 0.1676841\n", + "\n", + "$MSE_list[[8]][[47]]\n", + "[1] 0.2025085\n", + "\n", + "$MSE_list[[8]][[48]]\n", + "[1] 0.2261417\n", + "\n", + "$MSE_list[[8]][[49]]\n", + "[1] 0.2666216\n", + "\n", + "$MSE_list[[8]][[50]]\n", + "[1] 0.1813124\n", + "\n", + "$MSE_list[[8]][[51]]\n", + "[1] 0.3170525\n", + "\n", + "$MSE_list[[8]][[52]]\n", + "[1] 0.3014985\n", + "\n", + "$MSE_list[[8]][[53]]\n", + "[1] 0.3315777\n", + "\n", + "$MSE_list[[8]][[54]]\n", + "[1] 0.2021828\n", + "\n", + "$MSE_list[[8]][[55]]\n", + "[1] 0.3142873\n", + "\n", + "$MSE_list[[8]][[56]]\n", + "[1] 0.2215604\n", + "\n", + "$MSE_list[[8]][[57]]\n", + "[1] 0.2851285\n", + "\n", + "$MSE_list[[8]][[58]]\n", + "[1] 0.3201648\n", + "\n", + "$MSE_list[[8]][[59]]\n", + "[1] 0.285759\n", + "\n", + "$MSE_list[[8]][[60]]\n", + "[1] 0.3069678\n", + "\n", + "$MSE_list[[8]][[61]]\n", + "[1] 0.2243864\n", + "\n", + "$MSE_list[[8]][[62]]\n", + "[1] 0.2163522\n", + "\n", + "$MSE_list[[8]][[63]]\n", + "[1] 0.2959227\n", + "\n", + "$MSE_list[[8]][[64]]\n", + "[1] 0.3638251\n", + "\n", + "$MSE_list[[8]][[65]]\n", + "[1] 0.2281903\n", + "\n", + "$MSE_list[[8]][[66]]\n", + "[1] 0.2525676\n", + "\n", + "$MSE_list[[8]][[67]]\n", + "[1] 0.3069701\n", + "\n", + "$MSE_list[[8]][[68]]\n", + "[1] 0.1325855\n", + "\n", + "$MSE_list[[8]][[69]]\n", + "[1] 0.3188244\n", + "\n", + "$MSE_list[[8]][[70]]\n", + "[1] 0.2063382\n", + "\n", + "$MSE_list[[8]][[71]]\n", + "[1] 0.2305048\n", + "\n", + "$MSE_list[[8]][[72]]\n", + "[1] 0.1277092\n", + "\n", + "$MSE_list[[8]][[73]]\n", + "[1] 0.3466515\n", + "\n", + "$MSE_list[[8]][[74]]\n", + "[1] 0.2176657\n", + "\n", + "$MSE_list[[8]][[75]]\n", + "[1] 0.3288372\n", + "\n", + "$MSE_list[[8]][[76]]\n", + "[1] 0.2002421\n", + "\n", + "$MSE_list[[8]][[77]]\n", + "[1] 0.3640583\n", + "\n", + "$MSE_list[[8]][[78]]\n", + "[1] 0.3128062\n", + "\n", + "$MSE_list[[8]][[79]]\n", + "[1] 0.1587109\n", + "\n", + "$MSE_list[[8]][[80]]\n", + "[1] 0.2784402\n", + "\n", + "$MSE_list[[8]][[81]]\n", + "[1] 0.272825\n", + "\n", + "$MSE_list[[8]][[82]]\n", + "[1] 0.3585612\n", + "\n", + "$MSE_list[[8]][[83]]\n", + "[1] 0.1893081\n", + "\n", + "$MSE_list[[8]][[84]]\n", + "[1] 0.2051382\n", + "\n", + "$MSE_list[[8]][[85]]\n", + "[1] 0.2603114\n", + "\n", + "$MSE_list[[8]][[86]]\n", + "[1] 0.2937223\n", + "\n", + "$MSE_list[[8]][[87]]\n", + "[1] 0.2653197\n", + "\n", + "$MSE_list[[8]][[88]]\n", + "[1] 0.2983932\n", + "\n", + "$MSE_list[[8]][[89]]\n", + "[1] 0.1775838\n", + "\n", + "$MSE_list[[8]][[90]]\n", + "[1] 0.1924914\n", + "\n", + "$MSE_list[[8]][[91]]\n", + "[1] 0.3590203\n", + "\n", + "$MSE_list[[8]][[92]]\n", + "[1] 0.2203852\n", + "\n", + "$MSE_list[[8]][[93]]\n", + "[1] 0.3933444\n", + "\n", + "$MSE_list[[8]][[94]]\n", + "[1] 0.2673525\n", + "\n", + "$MSE_list[[8]][[95]]\n", + "[1] 0.2740342\n", + "\n", + "$MSE_list[[8]][[96]]\n", + "[1] 0.3770337\n", + "\n", + "$MSE_list[[8]][[97]]\n", + "[1] 0.2131681\n", + "\n", + "$MSE_list[[8]][[98]]\n", + "[1] 0.2644352\n", + "\n", + "$MSE_list[[8]][[99]]\n", + "[1] 0.2242885\n", + "\n", + "$MSE_list[[8]][[100]]\n", + "[1] 0.2694993\n", + "\n", + "\n", + "$MSE_list[[9]]\n", + "$MSE_list[[9]][[1]]\n", + "[1] 0.3924928\n", + "\n", + "$MSE_list[[9]][[2]]\n", + "[1] 0.2780781\n", + "\n", + "$MSE_list[[9]][[3]]\n", + "[1] 0.3672568\n", + "\n", + "$MSE_list[[9]][[4]]\n", + "[1] 0.1689554\n", + "\n", + "$MSE_list[[9]][[5]]\n", + "[1] 0.3044605\n", + "\n", + "$MSE_list[[9]][[6]]\n", + "[1] 0.2288556\n", + "\n", + "$MSE_list[[9]][[7]]\n", + "[1] 0.1332224\n", + "\n", + "$MSE_list[[9]][[8]]\n", + "[1] 0.2533003\n", + "\n", + "$MSE_list[[9]][[9]]\n", + "[1] 0.2372391\n", + "\n", + "$MSE_list[[9]][[10]]\n", + "[1] 0.2030473\n", + "\n", + "$MSE_list[[9]][[11]]\n", + "[1] 0.2265547\n", + "\n", + "$MSE_list[[9]][[12]]\n", + "[1] 0.07527751\n", + "\n", + "$MSE_list[[9]][[13]]\n", + "[1] 0.1417081\n", + "\n", + "$MSE_list[[9]][[14]]\n", + "[1] 0.3019627\n", + "\n", + "$MSE_list[[9]][[15]]\n", + "[1] 0.2362598\n", + "\n", + "$MSE_list[[9]][[16]]\n", + "[1] 0.2742514\n", + "\n", + "$MSE_list[[9]][[17]]\n", + "[1] 0.1596553\n", + "\n", + "$MSE_list[[9]][[18]]\n", + "[1] 0.2351848\n", + "\n", + "$MSE_list[[9]][[19]]\n", + "[1] 0.1770622\n", + "\n", + "$MSE_list[[9]][[20]]\n", + "[1] 0.2397433\n", + "\n", + "$MSE_list[[9]][[21]]\n", + "[1] 0.04921662\n", + "\n", + "$MSE_list[[9]][[22]]\n", + "[1] 0.08474407\n", + "\n", + "$MSE_list[[9]][[23]]\n", + "[1] 0.1841319\n", + "\n", + "$MSE_list[[9]][[24]]\n", + "[1] 0.1245367\n", + "\n", + "$MSE_list[[9]][[25]]\n", + "[1] 0.2837204\n", + "\n", + "$MSE_list[[9]][[26]]\n", + "[1] 0.2703261\n", + "\n", + "$MSE_list[[9]][[27]]\n", + "[1] 0.2940427\n", + "\n", + "$MSE_list[[9]][[28]]\n", + "[1] 0.2370927\n", + "\n", + "$MSE_list[[9]][[29]]\n", + "[1] 0.2582904\n", + "\n", + "$MSE_list[[9]][[30]]\n", + "[1] 0.1791564\n", + "\n", + "$MSE_list[[9]][[31]]\n", + "[1] 0.2434654\n", + "\n", + "$MSE_list[[9]][[32]]\n", + "[1] 0.3297949\n", + "\n", + "$MSE_list[[9]][[33]]\n", + "[1] 0.2410668\n", + "\n", + "$MSE_list[[9]][[34]]\n", + "[1] 0.2148563\n", + "\n", + "$MSE_list[[9]][[35]]\n", + "[1] 0.2604696\n", + "\n", + "$MSE_list[[9]][[36]]\n", + "[1] 0.2550043\n", + "\n", + "$MSE_list[[9]][[37]]\n", + "[1] 0.2683887\n", + "\n", + "$MSE_list[[9]][[38]]\n", + "[1] 0.3093631\n", + "\n", + "$MSE_list[[9]][[39]]\n", + "[1] 0.2943617\n", + "\n", + "$MSE_list[[9]][[40]]\n", + "[1] 0.1723742\n", + "\n", + "$MSE_list[[9]][[41]]\n", + "[1] 0.208588\n", + "\n", + "$MSE_list[[9]][[42]]\n", + "[1] 0.2004091\n", + "\n", + "$MSE_list[[9]][[43]]\n", + "[1] 0.1266305\n", + "\n", + "$MSE_list[[9]][[44]]\n", + "[1] 0.266199\n", + "\n", + "$MSE_list[[9]][[45]]\n", + "[1] 0.2210677\n", + "\n", + "$MSE_list[[9]][[46]]\n", + "[1] 0.1765683\n", + "\n", + "$MSE_list[[9]][[47]]\n", + "[1] 0.2822478\n", + "\n", + "$MSE_list[[9]][[48]]\n", + "[1] 0.07910382\n", + "\n", + "$MSE_list[[9]][[49]]\n", + "[1] 0.2150401\n", + "\n", + "$MSE_list[[9]][[50]]\n", + "[1] 0.1520493\n", + "\n", + "$MSE_list[[9]][[51]]\n", + "[1] 0.1862489\n", + "\n", + "$MSE_list[[9]][[52]]\n", + "[1] 0.3380658\n", + "\n", + "$MSE_list[[9]][[53]]\n", + "[1] 0.264372\n", + "\n", + "$MSE_list[[9]][[54]]\n", + "[1] 0.1806572\n", + "\n", + "$MSE_list[[9]][[55]]\n", + "[1] 0.252591\n", + "\n", + "$MSE_list[[9]][[56]]\n", + "[1] 0.2131241\n", + "\n", + "$MSE_list[[9]][[57]]\n", + "[1] 0.341012\n", + "\n", + "$MSE_list[[9]][[58]]\n", + "[1] 0.2320772\n", + "\n", + "$MSE_list[[9]][[59]]\n", + "[1] 0.2419482\n", + "\n", + "$MSE_list[[9]][[60]]\n", + "[1] 0.253868\n", + "\n", + "$MSE_list[[9]][[61]]\n", + "[1] 0.3282621\n", + "\n", + "$MSE_list[[9]][[62]]\n", + "[1] 0.3200567\n", + "\n", + "$MSE_list[[9]][[63]]\n", + "[1] 0.2101285\n", + "\n", + "$MSE_list[[9]][[64]]\n", + "[1] 0.1620323\n", + "\n", + "$MSE_list[[9]][[65]]\n", + "[1] 0.171286\n", + "\n", + "$MSE_list[[9]][[66]]\n", + "[1] 0.1644893\n", + "\n", + "$MSE_list[[9]][[67]]\n", + "[1] 0.1594042\n", + "\n", + "$MSE_list[[9]][[68]]\n", + "[1] 0.1773197\n", + "\n", + "$MSE_list[[9]][[69]]\n", + "[1] 0.205914\n", + "\n", + "$MSE_list[[9]][[70]]\n", + "[1] 0.3746514\n", + "\n", + "$MSE_list[[9]][[71]]\n", + "[1] 0.1569294\n", + "\n", + "$MSE_list[[9]][[72]]\n", + "[1] 0.2853515\n", + "\n", + "$MSE_list[[9]][[73]]\n", + "[1] 0.2677131\n", + "\n", + "$MSE_list[[9]][[74]]\n", + "[1] 0.209766\n", + "\n", + "$MSE_list[[9]][[75]]\n", + "[1] 0.2452718\n", + "\n", + "$MSE_list[[9]][[76]]\n", + "[1] 0.2792245\n", + "\n", + "$MSE_list[[9]][[77]]\n", + "[1] 0.2185187\n", + "\n", + "$MSE_list[[9]][[78]]\n", + "[1] 0.2408685\n", + "\n", + "$MSE_list[[9]][[79]]\n", + "[1] 0.2286763\n", + "\n", + "$MSE_list[[9]][[80]]\n", + "[1] 0.2964768\n", + "\n", + "$MSE_list[[9]][[81]]\n", + "[1] 0.1997309\n", + "\n", + "$MSE_list[[9]][[82]]\n", + "[1] 0.2571628\n", + "\n", + "$MSE_list[[9]][[83]]\n", + "[1] 0.3721573\n", + "\n", + "$MSE_list[[9]][[84]]\n", + "[1] 0.1750534\n", + "\n", + "$MSE_list[[9]][[85]]\n", + "[1] 0.2355057\n", + "\n", + "$MSE_list[[9]][[86]]\n", + "[1] 0.2158488\n", + "\n", + "$MSE_list[[9]][[87]]\n", + "[1] 0.28373\n", + "\n", + "$MSE_list[[9]][[88]]\n", + "[1] 0.2725618\n", + "\n", + "$MSE_list[[9]][[89]]\n", + "[1] 0.1423421\n", + "\n", + "$MSE_list[[9]][[90]]\n", + "[1] 0.1915538\n", + "\n", + "$MSE_list[[9]][[91]]\n", + "[1] 0.2287846\n", + "\n", + "$MSE_list[[9]][[92]]\n", + "[1] 0.2173102\n", + "\n", + "$MSE_list[[9]][[93]]\n", + "[1] 0.2490995\n", + "\n", + "$MSE_list[[9]][[94]]\n", + "[1] 0.2320426\n", + "\n", + "$MSE_list[[9]][[95]]\n", + "[1] 0.2113744\n", + "\n", + "$MSE_list[[9]][[96]]\n", + "[1] 0.1868211\n", + "\n", + "$MSE_list[[9]][[97]]\n", + "[1] 0.2447515\n", + "\n", + "$MSE_list[[9]][[98]]\n", + "[1] 0.286935\n", + "\n", + "$MSE_list[[9]][[99]]\n", + "[1] 0.3707231\n", + "\n", + "$MSE_list[[9]][[100]]\n", + "[1] 0.2906179\n", + "\n", + "\n", + "$MSE_list[[10]]\n", + "$MSE_list[[10]][[1]]\n", + "[1] 0.3772793\n", + "\n", + "$MSE_list[[10]][[2]]\n", + "[1] 0.3295499\n", + "\n", + "$MSE_list[[10]][[3]]\n", + "[1] 0.2441075\n", + "\n", + "$MSE_list[[10]][[4]]\n", + "[1] 0.1547306\n", + "\n", + "$MSE_list[[10]][[5]]\n", + "[1] 0.2242858\n", + "\n", + "$MSE_list[[10]][[6]]\n", + "[1] 0.2024277\n", + "\n", + "$MSE_list[[10]][[7]]\n", + "[1] 0.2829065\n", + "\n", + "$MSE_list[[10]][[8]]\n", + "[1] 0.4657903\n", + "\n", + "$MSE_list[[10]][[9]]\n", + "[1] 0.3435856\n", + "\n", + "$MSE_list[[10]][[10]]\n", + "[1] 0.3740974\n", + "\n", + "$MSE_list[[10]][[11]]\n", + "[1] 0.3578093\n", + "\n", + "$MSE_list[[10]][[12]]\n", + "[1] 0.2960925\n", + "\n", + "$MSE_list[[10]][[13]]\n", + "[1] 0.1790406\n", + "\n", + "$MSE_list[[10]][[14]]\n", + "[1] 0.2457389\n", + "\n", + "$MSE_list[[10]][[15]]\n", + "[1] 0.3394618\n", + "\n", + "$MSE_list[[10]][[16]]\n", + "[1] 0.168214\n", + "\n", + "$MSE_list[[10]][[17]]\n", + "[1] 0.3396415\n", + "\n", + "$MSE_list[[10]][[18]]\n", + "[1] 0.463922\n", + "\n", + "$MSE_list[[10]][[19]]\n", + "[1] 0.2683466\n", + "\n", + "$MSE_list[[10]][[20]]\n", + "[1] 0.1797422\n", + "\n", + "$MSE_list[[10]][[21]]\n", + "[1] 0.3568474\n", + "\n", + "$MSE_list[[10]][[22]]\n", + "[1] 0.1832219\n", + "\n", + "$MSE_list[[10]][[23]]\n", + "[1] 0.2818423\n", + "\n", + "$MSE_list[[10]][[24]]\n", + "[1] 0.2194351\n", + "\n", + "$MSE_list[[10]][[25]]\n", + "[1] 0.3311326\n", + "\n", + "$MSE_list[[10]][[26]]\n", + "[1] 0.2165039\n", + "\n", + "$MSE_list[[10]][[27]]\n", + "[1] 0.3135074\n", + "\n", + "$MSE_list[[10]][[28]]\n", + "[1] 0.07506186\n", + "\n", + "$MSE_list[[10]][[29]]\n", + "[1] 0.2813187\n", + "\n", + "$MSE_list[[10]][[30]]\n", + "[1] 0.3786466\n", + "\n", + "$MSE_list[[10]][[31]]\n", + "[1] 0.4205225\n", + "\n", + "$MSE_list[[10]][[32]]\n", + "[1] 0.3613274\n", + "\n", + "$MSE_list[[10]][[33]]\n", + "[1] 0.2365742\n", + "\n", + "$MSE_list[[10]][[34]]\n", + "[1] 0.3236716\n", + "\n", + "$MSE_list[[10]][[35]]\n", + "[1] 0.1036036\n", + "\n", + "$MSE_list[[10]][[36]]\n", + "[1] 0.2548242\n", + "\n", + "$MSE_list[[10]][[37]]\n", + "[1] 0.4682827\n", + "\n", + "$MSE_list[[10]][[38]]\n", + "[1] 0.2303495\n", + "\n", + "$MSE_list[[10]][[39]]\n", + "[1] 0.2541485\n", + "\n", + "$MSE_list[[10]][[40]]\n", + "[1] 0.1530418\n", + "\n", + "$MSE_list[[10]][[41]]\n", + "[1] 0.351603\n", + "\n", + "$MSE_list[[10]][[42]]\n", + "[1] 0.3448331\n", + "\n", + "$MSE_list[[10]][[43]]\n", + "[1] 0.3595311\n", + "\n", + "$MSE_list[[10]][[44]]\n", + "[1] 0.1350666\n", + "\n", + "$MSE_list[[10]][[45]]\n", + "[1] 0.2092918\n", + "\n", + "$MSE_list[[10]][[46]]\n", + "[1] 0.2158854\n", + "\n", + "$MSE_list[[10]][[47]]\n", + "[1] 0.3083974\n", + "\n", + "$MSE_list[[10]][[48]]\n", + "[1] 0.457763\n", + "\n", + "$MSE_list[[10]][[49]]\n", + "[1] 0.2531803\n", + "\n", + "$MSE_list[[10]][[50]]\n", + "[1] 0.208064\n", + "\n", + "$MSE_list[[10]][[51]]\n", + "[1] 0.3992441\n", + "\n", + "$MSE_list[[10]][[52]]\n", + "[1] 0.2863027\n", + "\n", + "$MSE_list[[10]][[53]]\n", + "[1] 0.3773016\n", + "\n", + "$MSE_list[[10]][[54]]\n", + "[1] 0.12982\n", + "\n", + "$MSE_list[[10]][[55]]\n", + "[1] 0.1801653\n", + "\n", + "$MSE_list[[10]][[56]]\n", + "[1] 0.3847798\n", + "\n", + "$MSE_list[[10]][[57]]\n", + "[1] 0.2876913\n", + "\n", + "$MSE_list[[10]][[58]]\n", + "[1] 0.2684064\n", + "\n", + "$MSE_list[[10]][[59]]\n", + "[1] 0.4289126\n", + "\n", + "$MSE_list[[10]][[60]]\n", + "[1] 0.2097984\n", + "\n", + "$MSE_list[[10]][[61]]\n", + "[1] 0.1597323\n", + "\n", + "$MSE_list[[10]][[62]]\n", + "[1] 0.4078357\n", + "\n", + "$MSE_list[[10]][[63]]\n", + "[1] 0.4137861\n", + "\n", + "$MSE_list[[10]][[64]]\n", + "[1] 0.304464\n", + "\n", + "$MSE_list[[10]][[65]]\n", + "[1] 0.1686431\n", + "\n", + "$MSE_list[[10]][[66]]\n", + "[1] 0.3166453\n", + "\n", + "$MSE_list[[10]][[67]]\n", + "[1] 0.3417194\n", + "\n", + "$MSE_list[[10]][[68]]\n", + "[1] 0.2436052\n", + "\n", + "$MSE_list[[10]][[69]]\n", + "[1] 0.3038346\n", + "\n", + "$MSE_list[[10]][[70]]\n", + "[1] 0.244298\n", + "\n", + "$MSE_list[[10]][[71]]\n", + "[1] 0.433927\n", + "\n", + "$MSE_list[[10]][[72]]\n", + "[1] 0.2847704\n", + "\n", + "$MSE_list[[10]][[73]]\n", + "[1] 0.3855057\n", + "\n", + "$MSE_list[[10]][[74]]\n", + "[1] 0.2497389\n", + "\n", + "$MSE_list[[10]][[75]]\n", + "[1] 0.337892\n", + "\n", + "$MSE_list[[10]][[76]]\n", + "[1] 0.3579135\n", + "\n", + "$MSE_list[[10]][[77]]\n", + "[1] 0.4472798\n", + "\n", + "$MSE_list[[10]][[78]]\n", + "[1] 0.3492848\n", + "\n", + "$MSE_list[[10]][[79]]\n", + "[1] 0.3064391\n", + "\n", + "$MSE_list[[10]][[80]]\n", + "[1] 0.2007286\n", + "\n", + "$MSE_list[[10]][[81]]\n", + "[1] 0.2619273\n", + "\n", + "$MSE_list[[10]][[82]]\n", + "[1] 0.3224391\n", + "\n", + "$MSE_list[[10]][[83]]\n", + "[1] 0.1011396\n", + "\n", + "$MSE_list[[10]][[84]]\n", + "[1] 0.1218451\n", + "\n", + "$MSE_list[[10]][[85]]\n", + "[1] 0.1948088\n", + "\n", + "$MSE_list[[10]][[86]]\n", + "[1] 0.3604903\n", + "\n", + "$MSE_list[[10]][[87]]\n", + "[1] 0.1419211\n", + "\n", + "$MSE_list[[10]][[88]]\n", + "[1] 0.3008506\n", + "\n", + "$MSE_list[[10]][[89]]\n", + "[1] 0.2683666\n", + "\n", + "$MSE_list[[10]][[90]]\n", + "[1] 0.3808697\n", + "\n", + "$MSE_list[[10]][[91]]\n", + "[1] 0.2901052\n", + "\n", + "$MSE_list[[10]][[92]]\n", + "[1] 0.2189996\n", + "\n", + "$MSE_list[[10]][[93]]\n", + "[1] 0.3328573\n", + "\n", + "$MSE_list[[10]][[94]]\n", + "[1] 0.1856175\n", + "\n", + "$MSE_list[[10]][[95]]\n", + "[1] 0.3562177\n", + "\n", + "$MSE_list[[10]][[96]]\n", + "[1] 0.2791201\n", + "\n", + "$MSE_list[[10]][[97]]\n", + "[1] 0.3075204\n", + "\n", + "$MSE_list[[10]][[98]]\n", + "[1] 0.1402489\n", + "\n", + "$MSE_list[[10]][[99]]\n", + "[1] 0.5085355\n", + "\n", + "$MSE_list[[10]][[100]]\n", + "[1] 0.3095598\n", + "\n", + "\n", + "$MSE_list[[11]]\n", + "$MSE_list[[11]][[1]]\n", + "[1] 0.2060228\n", + "\n", + "$MSE_list[[11]][[2]]\n", + "[1] 0.3282945\n", + "\n", + "$MSE_list[[11]][[3]]\n", + "[1] 0.3933982\n", + "\n", + "$MSE_list[[11]][[4]]\n", + "[1] 0.3015218\n", + "\n", + "$MSE_list[[11]][[5]]\n", + "[1] 0.3025452\n", + "\n", + "$MSE_list[[11]][[6]]\n", + "[1] 0.341724\n", + "\n", + "$MSE_list[[11]][[7]]\n", + "[1] 0.3144393\n", + "\n", + "$MSE_list[[11]][[8]]\n", + "[1] 0.2864994\n", + "\n", + "$MSE_list[[11]][[9]]\n", + "[1] 0.3600287\n", + "\n", + "$MSE_list[[11]][[10]]\n", + "[1] 0.1695242\n", + "\n", + "$MSE_list[[11]][[11]]\n", + "[1] 0.1661387\n", + "\n", + "$MSE_list[[11]][[12]]\n", + "[1] 0.1220907\n", + "\n", + "$MSE_list[[11]][[13]]\n", + "[1] 0.2406512\n", + "\n", + "$MSE_list[[11]][[14]]\n", + "[1] 0.2816435\n", + "\n", + "$MSE_list[[11]][[15]]\n", + "[1] 0.1500738\n", + "\n", + "$MSE_list[[11]][[16]]\n", + "[1] 0.3717717\n", + "\n", + "$MSE_list[[11]][[17]]\n", + "[1] 0.1497496\n", + "\n", + "$MSE_list[[11]][[18]]\n", + "[1] 0.3424003\n", + "\n", + "$MSE_list[[11]][[19]]\n", + "[1] 0.3187883\n", + "\n", + "$MSE_list[[11]][[20]]\n", + "[1] 0.2544359\n", + "\n", + "$MSE_list[[11]][[21]]\n", + "[1] 0.373132\n", + "\n", + "$MSE_list[[11]][[22]]\n", + "[1] 0.2633956\n", + "\n", + "$MSE_list[[11]][[23]]\n", + "[1] 0.2791986\n", + "\n", + "$MSE_list[[11]][[24]]\n", + "[1] 0.3329973\n", + "\n", + "$MSE_list[[11]][[25]]\n", + "[1] 0.3826578\n", + "\n", + "$MSE_list[[11]][[26]]\n", + "[1] 0.293021\n", + "\n", + "$MSE_list[[11]][[27]]\n", + "[1] 0.4154323\n", + "\n", + "$MSE_list[[11]][[28]]\n", + "[1] 0.1685953\n", + "\n", + "$MSE_list[[11]][[29]]\n", + "[1] 0.3755316\n", + "\n", + "$MSE_list[[11]][[30]]\n", + "[1] 0.2424373\n", + "\n", + "$MSE_list[[11]][[31]]\n", + "[1] 0.1519447\n", + "\n", + "$MSE_list[[11]][[32]]\n", + "[1] 0.4258473\n", + "\n", + "$MSE_list[[11]][[33]]\n", + "[1] 0.3916912\n", + "\n", + "$MSE_list[[11]][[34]]\n", + "[1] 0.1340725\n", + "\n", + "$MSE_list[[11]][[35]]\n", + "[1] 0.2686959\n", + "\n", + "$MSE_list[[11]][[36]]\n", + "[1] 0.2963492\n", + "\n", + "$MSE_list[[11]][[37]]\n", + "[1] 0.2798104\n", + "\n", + "$MSE_list[[11]][[38]]\n", + "[1] 0.1285485\n", + "\n", + "$MSE_list[[11]][[39]]\n", + "[1] 0.2622543\n", + "\n", + "$MSE_list[[11]][[40]]\n", + "[1] 0.2351834\n", + "\n", + "$MSE_list[[11]][[41]]\n", + "[1] 0.2266182\n", + "\n", + "$MSE_list[[11]][[42]]\n", + "[1] 0.1957243\n", + "\n", + "$MSE_list[[11]][[43]]\n", + "[1] 0.3991892\n", + "\n", + "$MSE_list[[11]][[44]]\n", + "[1] 0.2422782\n", + "\n", + "$MSE_list[[11]][[45]]\n", + "[1] 0.2424774\n", + "\n", + "$MSE_list[[11]][[46]]\n", + "[1] 0.2298097\n", + "\n", + "$MSE_list[[11]][[47]]\n", + "[1] 0.2290875\n", + "\n", + "$MSE_list[[11]][[48]]\n", + "[1] 0.07850302\n", + "\n", + "$MSE_list[[11]][[49]]\n", + "[1] 0.3547388\n", + "\n", + "$MSE_list[[11]][[50]]\n", + "[1] 0.2805687\n", + "\n", + "$MSE_list[[11]][[51]]\n", + "[1] 0.3274526\n", + "\n", + "$MSE_list[[11]][[52]]\n", + "[1] 0.4616089\n", + "\n", + "$MSE_list[[11]][[53]]\n", + "[1] 0.1766823\n", + "\n", + "$MSE_list[[11]][[54]]\n", + "[1] 0.2872271\n", + "\n", + "$MSE_list[[11]][[55]]\n", + "[1] 0.2501037\n", + "\n", + "$MSE_list[[11]][[56]]\n", + "[1] 0.2767797\n", + "\n", + "$MSE_list[[11]][[57]]\n", + "[1] 0.2331013\n", + "\n", + "$MSE_list[[11]][[58]]\n", + "[1] 0.2722163\n", + "\n", + "$MSE_list[[11]][[59]]\n", + "[1] 0.2539675\n", + "\n", + "$MSE_list[[11]][[60]]\n", + "[1] 0.2127783\n", + "\n", + "$MSE_list[[11]][[61]]\n", + "[1] 0.2026628\n", + "\n", + "$MSE_list[[11]][[62]]\n", + "[1] 0.340158\n", + "\n", + "$MSE_list[[11]][[63]]\n", + "[1] 0.3073939\n", + "\n", + "$MSE_list[[11]][[64]]\n", + "[1] 0.420225\n", + "\n", + "$MSE_list[[11]][[65]]\n", + "[1] 0.2353657\n", + "\n", + "$MSE_list[[11]][[66]]\n", + "[1] 0.3189408\n", + "\n", + "$MSE_list[[11]][[67]]\n", + "[1] 0.2625103\n", + "\n", + "$MSE_list[[11]][[68]]\n", + "[1] 0.3376184\n", + "\n", + "$MSE_list[[11]][[69]]\n", + "[1] 0.2073389\n", + "\n", + "$MSE_list[[11]][[70]]\n", + "[1] 0.4436033\n", + "\n", + "$MSE_list[[11]][[71]]\n", + "[1] 0.2272262\n", + "\n", + "$MSE_list[[11]][[72]]\n", + "[1] 0.1557003\n", + "\n", + "$MSE_list[[11]][[73]]\n", + "[1] 0.3937262\n", + "\n", + "$MSE_list[[11]][[74]]\n", + "[1] 0.3076079\n", + "\n", + "$MSE_list[[11]][[75]]\n", + "[1] 0.209298\n", + "\n", + "$MSE_list[[11]][[76]]\n", + "[1] 0.2387258\n", + "\n", + "$MSE_list[[11]][[77]]\n", + "[1] 0.1129965\n", + "\n", + "$MSE_list[[11]][[78]]\n", + "[1] 0.3691896\n", + "\n", + "$MSE_list[[11]][[79]]\n", + "[1] 0.2373613\n", + "\n", + "$MSE_list[[11]][[80]]\n", + "[1] 0.3648115\n", + "\n", + "$MSE_list[[11]][[81]]\n", + "[1] 0.2986345\n", + "\n", + "$MSE_list[[11]][[82]]\n", + "[1] 0.2151508\n", + "\n", + "$MSE_list[[11]][[83]]\n", + "[1] 0.2792028\n", + "\n", + "$MSE_list[[11]][[84]]\n", + "[1] 0.1988721\n", + "\n", + "$MSE_list[[11]][[85]]\n", + "[1] 0.3805478\n", + "\n", + "$MSE_list[[11]][[86]]\n", + "[1] 0.3018454\n", + "\n", + "$MSE_list[[11]][[87]]\n", + "[1] 0.2551821\n", + "\n", + "$MSE_list[[11]][[88]]\n", + "[1] 0.2775432\n", + "\n", + "$MSE_list[[11]][[89]]\n", + "[1] 0.3459298\n", + "\n", + "$MSE_list[[11]][[90]]\n", + "[1] 0.3445877\n", + "\n", + "$MSE_list[[11]][[91]]\n", + "[1] 0.4100264\n", + "\n", + "$MSE_list[[11]][[92]]\n", + "[1] 0.3371737\n", + "\n", + "$MSE_list[[11]][[93]]\n", + "[1] 0.4084374\n", + "\n", + "$MSE_list[[11]][[94]]\n", + "[1] 0.3015222\n", + "\n", + "$MSE_list[[11]][[95]]\n", + "[1] 0.3300968\n", + "\n", + "$MSE_list[[11]][[96]]\n", + "[1] 0.2061657\n", + "\n", + "$MSE_list[[11]][[97]]\n", + "[1] 0.2056881\n", + "\n", + "$MSE_list[[11]][[98]]\n", + "[1] 0.2437345\n", + "\n", + "$MSE_list[[11]][[99]]\n", + "[1] 0.3951466\n", + "\n", + "$MSE_list[[11]][[100]]\n", + "[1] 0.1136432\n", + "\n", + "\n", + "$MSE_list[[12]]\n", + "$MSE_list[[12]][[1]]\n", + "[1] 0.245919\n", + "\n", + "$MSE_list[[12]][[2]]\n", + "[1] 0.2409894\n", + "\n", + "$MSE_list[[12]][[3]]\n", + "[1] 0.2126827\n", + "\n", + "$MSE_list[[12]][[4]]\n", + "[1] 0.3067913\n", + "\n", + "$MSE_list[[12]][[5]]\n", + "[1] 0.3032629\n", + "\n", + "$MSE_list[[12]][[6]]\n", + "[1] 0.3677965\n", + "\n", + "$MSE_list[[12]][[7]]\n", + "[1] 0.2689401\n", + "\n", + "$MSE_list[[12]][[8]]\n", + "[1] 0.3172647\n", + "\n", + "$MSE_list[[12]][[9]]\n", + "[1] 0.1833959\n", + "\n", + "$MSE_list[[12]][[10]]\n", + "[1] 0.1858487\n", + "\n", + "$MSE_list[[12]][[11]]\n", + "[1] 0.2118127\n", + "\n", + "$MSE_list[[12]][[12]]\n", + "[1] 0.2042337\n", + "\n", + "$MSE_list[[12]][[13]]\n", + "[1] 0.3518513\n", + "\n", + "$MSE_list[[12]][[14]]\n", + "[1] 0.2243532\n", + "\n", + "$MSE_list[[12]][[15]]\n", + "[1] 0.3129957\n", + "\n", + "$MSE_list[[12]][[16]]\n", + "[1] 0.2534653\n", + "\n", + "$MSE_list[[12]][[17]]\n", + "[1] 0.1671564\n", + "\n", + "$MSE_list[[12]][[18]]\n", + "[1] 0.226189\n", + "\n", + "$MSE_list[[12]][[19]]\n", + "[1] 0.2613521\n", + "\n", + "$MSE_list[[12]][[20]]\n", + "[1] 0.324267\n", + "\n", + "$MSE_list[[12]][[21]]\n", + "[1] 0.3004581\n", + "\n", + "$MSE_list[[12]][[22]]\n", + "[1] 0.1610987\n", + "\n", + "$MSE_list[[12]][[23]]\n", + "[1] 0.2406051\n", + "\n", + "$MSE_list[[12]][[24]]\n", + "[1] 0.3142081\n", + "\n", + "$MSE_list[[12]][[25]]\n", + "[1] 0.1618019\n", + "\n", + "$MSE_list[[12]][[26]]\n", + "[1] 0.2202889\n", + "\n", + "$MSE_list[[12]][[27]]\n", + "[1] 0.2037037\n", + "\n", + "$MSE_list[[12]][[28]]\n", + "[1] 0.2392233\n", + "\n", + "$MSE_list[[12]][[29]]\n", + "[1] 0.3626762\n", + "\n", + "$MSE_list[[12]][[30]]\n", + "[1] 0.1720914\n", + "\n", + "$MSE_list[[12]][[31]]\n", + "[1] 0.2683066\n", + "\n", + "$MSE_list[[12]][[32]]\n", + "[1] 0.1664282\n", + "\n", + "$MSE_list[[12]][[33]]\n", + "[1] 0.2765403\n", + "\n", + "$MSE_list[[12]][[34]]\n", + "[1] 0.2876015\n", + "\n", + "$MSE_list[[12]][[35]]\n", + "[1] 0.2240948\n", + "\n", + "$MSE_list[[12]][[36]]\n", + "[1] 0.3615661\n", + "\n", + "$MSE_list[[12]][[37]]\n", + "[1] 0.1778777\n", + "\n", + "$MSE_list[[12]][[38]]\n", + "[1] 0.1609324\n", + "\n", + "$MSE_list[[12]][[39]]\n", + "[1] 0.4293508\n", + "\n", + "$MSE_list[[12]][[40]]\n", + "[1] 0.1786439\n", + "\n", + "$MSE_list[[12]][[41]]\n", + "[1] 0.1484491\n", + "\n", + "$MSE_list[[12]][[42]]\n", + "[1] 0.1945131\n", + "\n", + "$MSE_list[[12]][[43]]\n", + "[1] 0.2200482\n", + "\n", + "$MSE_list[[12]][[44]]\n", + "[1] 0.1822559\n", + "\n", + "$MSE_list[[12]][[45]]\n", + "[1] 0.2492716\n", + "\n", + "$MSE_list[[12]][[46]]\n", + "[1] 0.2229892\n", + "\n", + "$MSE_list[[12]][[47]]\n", + "[1] 0.4026367\n", + "\n", + "$MSE_list[[12]][[48]]\n", + "[1] 0.3213354\n", + "\n", + "$MSE_list[[12]][[49]]\n", + "[1] 0.2424332\n", + "\n", + "$MSE_list[[12]][[50]]\n", + "[1] 0.2451944\n", + "\n", + "$MSE_list[[12]][[51]]\n", + "[1] 0.1380172\n", + "\n", + "$MSE_list[[12]][[52]]\n", + "[1] 0.3666303\n", + "\n", + "$MSE_list[[12]][[53]]\n", + "[1] 0.2204125\n", + "\n", + "$MSE_list[[12]][[54]]\n", + "[1] 0.1676061\n", + "\n", + "$MSE_list[[12]][[55]]\n", + "[1] 0.3047664\n", + "\n", + "$MSE_list[[12]][[56]]\n", + "[1] 0.1987044\n", + "\n", + "$MSE_list[[12]][[57]]\n", + "[1] 0.2686987\n", + "\n", + "$MSE_list[[12]][[58]]\n", + "[1] 0.345305\n", + "\n", + "$MSE_list[[12]][[59]]\n", + "[1] 0.2772338\n", + "\n", + "$MSE_list[[12]][[60]]\n", + "[1] 0.2570776\n", + "\n", + "$MSE_list[[12]][[61]]\n", + "[1] 0.2992767\n", + "\n", + "$MSE_list[[12]][[62]]\n", + "[1] 0.234685\n", + "\n", + "$MSE_list[[12]][[63]]\n", + "[1] 0.3687526\n", + "\n", + "$MSE_list[[12]][[64]]\n", + "[1] 0.3307655\n", + "\n", + "$MSE_list[[12]][[65]]\n", + "[1] 0.3121843\n", + "\n", + "$MSE_list[[12]][[66]]\n", + "[1] 0.1501995\n", + "\n", + "$MSE_list[[12]][[67]]\n", + "[1] 0.1529143\n", + "\n", + "$MSE_list[[12]][[68]]\n", + "[1] 0.3460481\n", + "\n", + "$MSE_list[[12]][[69]]\n", + "[1] 0.3520238\n", + "\n", + "$MSE_list[[12]][[70]]\n", + "[1] 0.2279006\n", + "\n", + "$MSE_list[[12]][[71]]\n", + "[1] 0.4157383\n", + "\n", + "$MSE_list[[12]][[72]]\n", + "[1] 0.1143356\n", + "\n", + "$MSE_list[[12]][[73]]\n", + "[1] 0.3239651\n", + "\n", + "$MSE_list[[12]][[74]]\n", + "[1] 0.327602\n", + "\n", + "$MSE_list[[12]][[75]]\n", + "[1] 0.174609\n", + "\n", + "$MSE_list[[12]][[76]]\n", + "[1] 0.2315421\n", + "\n", + "$MSE_list[[12]][[77]]\n", + "[1] 0.1637018\n", + "\n", + "$MSE_list[[12]][[78]]\n", + "[1] 0.3105014\n", + "\n", + "$MSE_list[[12]][[79]]\n", + "[1] 0.2827647\n", + "\n", + "$MSE_list[[12]][[80]]\n", + "[1] 0.1668175\n", + "\n", + "$MSE_list[[12]][[81]]\n", + "[1] 0.1720127\n", + "\n", + "$MSE_list[[12]][[82]]\n", + "[1] 0.328593\n", + "\n", + "$MSE_list[[12]][[83]]\n", + "[1] 0.3799217\n", + "\n", + "$MSE_list[[12]][[84]]\n", + "[1] 0.1140763\n", + "\n", + "$MSE_list[[12]][[85]]\n", + "[1] 0.1744613\n", + "\n", + "$MSE_list[[12]][[86]]\n", + "[1] 0.2984822\n", + "\n", + "$MSE_list[[12]][[87]]\n", + "[1] 0.2718823\n", + "\n", + "$MSE_list[[12]][[88]]\n", + "[1] 0.3531576\n", + "\n", + "$MSE_list[[12]][[89]]\n", + "[1] 0.2540785\n", + "\n", + "$MSE_list[[12]][[90]]\n", + "[1] 0.2573585\n", + "\n", + "$MSE_list[[12]][[91]]\n", + "[1] 0.1217202\n", + "\n", + "$MSE_list[[12]][[92]]\n", + "[1] 0.2292194\n", + "\n", + "$MSE_list[[12]][[93]]\n", + "[1] 0.2451765\n", + "\n", + "$MSE_list[[12]][[94]]\n", + "[1] 0.3183957\n", + "\n", + "$MSE_list[[12]][[95]]\n", + "[1] 0.3230681\n", + "\n", + "$MSE_list[[12]][[96]]\n", + "[1] 0.3097477\n", + "\n", + "$MSE_list[[12]][[97]]\n", + "[1] 0.2763476\n", + "\n", + "$MSE_list[[12]][[98]]\n", + "[1] 0.1274725\n", + "\n", + "$MSE_list[[12]][[99]]\n", + "[1] 0.2783543\n", + "\n", + "$MSE_list[[12]][[100]]\n", + "[1] 0.1997822\n", + "\n", + "\n", + "$MSE_list[[13]]\n", + "$MSE_list[[13]][[1]]\n", + "[1] 0.3610684\n", + "\n", + "$MSE_list[[13]][[2]]\n", + "[1] 0.2505029\n", + "\n", + "$MSE_list[[13]][[3]]\n", + "[1] 0.2856926\n", + "\n", + "$MSE_list[[13]][[4]]\n", + "[1] 0.1858251\n", + "\n", + "$MSE_list[[13]][[5]]\n", + "[1] 0.1579635\n", + "\n", + "$MSE_list[[13]][[6]]\n", + "[1] 0.1665822\n", + "\n", + "$MSE_list[[13]][[7]]\n", + "[1] 0.2787871\n", + "\n", + "$MSE_list[[13]][[8]]\n", + "[1] 0.24426\n", + "\n", + "$MSE_list[[13]][[9]]\n", + "[1] 0.1197547\n", + "\n", + "$MSE_list[[13]][[10]]\n", + "[1] 0.2578459\n", + "\n", + "$MSE_list[[13]][[11]]\n", + "[1] 0.126551\n", + "\n", + "$MSE_list[[13]][[12]]\n", + "[1] 0.1859071\n", + "\n", + "$MSE_list[[13]][[13]]\n", + "[1] 0.09809465\n", + "\n", + "$MSE_list[[13]][[14]]\n", + "[1] 0.1253203\n", + "\n", + "$MSE_list[[13]][[15]]\n", + "[1] 0.3425367\n", + "\n", + "$MSE_list[[13]][[16]]\n", + "[1] 0.348802\n", + "\n", + "$MSE_list[[13]][[17]]\n", + "[1] 0.4134255\n", + "\n", + "$MSE_list[[13]][[18]]\n", + "[1] 0.2169508\n", + "\n", + "$MSE_list[[13]][[19]]\n", + "[1] 0.1950068\n", + "\n", + "$MSE_list[[13]][[20]]\n", + "[1] 0.1120274\n", + "\n", + "$MSE_list[[13]][[21]]\n", + "[1] 0.1984371\n", + "\n", + "$MSE_list[[13]][[22]]\n", + "[1] 0.2466858\n", + "\n", + "$MSE_list[[13]][[23]]\n", + "[1] 0.1729856\n", + "\n", + "$MSE_list[[13]][[24]]\n", + "[1] 0.2318966\n", + "\n", + "$MSE_list[[13]][[25]]\n", + "[1] 0.1924504\n", + "\n", + "$MSE_list[[13]][[26]]\n", + "[1] 0.3354199\n", + "\n", + "$MSE_list[[13]][[27]]\n", + "[1] 0.3151006\n", + "\n", + "$MSE_list[[13]][[28]]\n", + "[1] 0.316585\n", + "\n", + "$MSE_list[[13]][[29]]\n", + "[1] 0.1660573\n", + "\n", + "$MSE_list[[13]][[30]]\n", + "[1] 0.1462699\n", + "\n", + "$MSE_list[[13]][[31]]\n", + "[1] 0.2412214\n", + "\n", + "$MSE_list[[13]][[32]]\n", + "[1] 0.1136579\n", + "\n", + "$MSE_list[[13]][[33]]\n", + "[1] 0.1896623\n", + "\n", + "$MSE_list[[13]][[34]]\n", + "[1] 0.31857\n", + "\n", + "$MSE_list[[13]][[35]]\n", + "[1] 0.1752491\n", + "\n", + "$MSE_list[[13]][[36]]\n", + "[1] 0.2937268\n", + "\n", + "$MSE_list[[13]][[37]]\n", + "[1] 0.3646636\n", + "\n", + "$MSE_list[[13]][[38]]\n", + "[1] 0.3369166\n", + "\n", + "$MSE_list[[13]][[39]]\n", + "[1] 0.1924781\n", + "\n", + "$MSE_list[[13]][[40]]\n", + "[1] 0.283729\n", + "\n", + "$MSE_list[[13]][[41]]\n", + "[1] 0.2699679\n", + "\n", + "$MSE_list[[13]][[42]]\n", + "[1] 0.2136328\n", + "\n", + "$MSE_list[[13]][[43]]\n", + "[1] 0.2103455\n", + "\n", + "$MSE_list[[13]][[44]]\n", + "[1] 0.1560671\n", + "\n", + "$MSE_list[[13]][[45]]\n", + "[1] 0.2766192\n", + "\n", + "$MSE_list[[13]][[46]]\n", + "[1] 0.2555011\n", + "\n", + "$MSE_list[[13]][[47]]\n", + "[1] 0.3618841\n", + "\n", + "$MSE_list[[13]][[48]]\n", + "[1] 0.3792682\n", + "\n", + "$MSE_list[[13]][[49]]\n", + "[1] 0.3769845\n", + "\n", + "$MSE_list[[13]][[50]]\n", + "[1] 0.269173\n", + "\n", + "$MSE_list[[13]][[51]]\n", + "[1] 0.2350457\n", + "\n", + "$MSE_list[[13]][[52]]\n", + "[1] 0.2512771\n", + "\n", + "$MSE_list[[13]][[53]]\n", + "[1] 0.3717686\n", + "\n", + "$MSE_list[[13]][[54]]\n", + "[1] 0.306937\n", + "\n", + "$MSE_list[[13]][[55]]\n", + "[1] 0.2509049\n", + "\n", + "$MSE_list[[13]][[56]]\n", + "[1] 0.2485825\n", + "\n", + "$MSE_list[[13]][[57]]\n", + "[1] 0.4148443\n", + "\n", + "$MSE_list[[13]][[58]]\n", + "[1] 0.3357259\n", + "\n", + "$MSE_list[[13]][[59]]\n", + "[1] 0.166299\n", + "\n", + "$MSE_list[[13]][[60]]\n", + "[1] 0.1217267\n", + "\n", + "$MSE_list[[13]][[61]]\n", + "[1] 0.2600154\n", + "\n", + "$MSE_list[[13]][[62]]\n", + "[1] 0.2898248\n", + "\n", + "$MSE_list[[13]][[63]]\n", + "[1] 0.1997094\n", + "\n", + "$MSE_list[[13]][[64]]\n", + "[1] 0.2469173\n", + "\n", + "$MSE_list[[13]][[65]]\n", + "[1] 0.2491097\n", + "\n", + "$MSE_list[[13]][[66]]\n", + "[1] 0.2654195\n", + "\n", + "$MSE_list[[13]][[67]]\n", + "[1] 0.297755\n", + "\n", + "$MSE_list[[13]][[68]]\n", + "[1] 0.2925635\n", + "\n", + "$MSE_list[[13]][[69]]\n", + "[1] 0.2375145\n", + "\n", + "$MSE_list[[13]][[70]]\n", + "[1] 0.1949128\n", + "\n", + "$MSE_list[[13]][[71]]\n", + "[1] 0.2108222\n", + "\n", + "$MSE_list[[13]][[72]]\n", + "[1] 0.2757097\n", + "\n", + "$MSE_list[[13]][[73]]\n", + "[1] 0.2313568\n", + "\n", + "$MSE_list[[13]][[74]]\n", + "[1] 0.1856193\n", + "\n", + "$MSE_list[[13]][[75]]\n", + "[1] 0.171998\n", + "\n", + "$MSE_list[[13]][[76]]\n", + "[1] 0.238283\n", + "\n", + "$MSE_list[[13]][[77]]\n", + "[1] 0.1902455\n", + "\n", + "$MSE_list[[13]][[78]]\n", + "[1] 0.2254419\n", + "\n", + "$MSE_list[[13]][[79]]\n", + "[1] 0.3018423\n", + "\n", + "$MSE_list[[13]][[80]]\n", + "[1] 0.3145723\n", + "\n", + "$MSE_list[[13]][[81]]\n", + "[1] 0.1914392\n", + "\n", + "$MSE_list[[13]][[82]]\n", + "[1] 0.4975875\n", + "\n", + "$MSE_list[[13]][[83]]\n", + "[1] 0.2351175\n", + "\n", + "$MSE_list[[13]][[84]]\n", + "[1] 0.3215326\n", + "\n", + "$MSE_list[[13]][[85]]\n", + "[1] 0.2082912\n", + "\n", + "$MSE_list[[13]][[86]]\n", + "[1] 0.2509442\n", + "\n", + "$MSE_list[[13]][[87]]\n", + "[1] 0.2025867\n", + "\n", + "$MSE_list[[13]][[88]]\n", + "[1] 0.08973607\n", + "\n", + "$MSE_list[[13]][[89]]\n", + "[1] 0.183951\n", + "\n", + "$MSE_list[[13]][[90]]\n", + "[1] 0.3342676\n", + "\n", + "$MSE_list[[13]][[91]]\n", + "[1] 0.1381615\n", + "\n", + "$MSE_list[[13]][[92]]\n", + "[1] 0.1105029\n", + "\n", + "$MSE_list[[13]][[93]]\n", + "[1] 0.2136135\n", + "\n", + "$MSE_list[[13]][[94]]\n", + "[1] 0.2473522\n", + "\n", + "$MSE_list[[13]][[95]]\n", + "[1] 0.1278793\n", + "\n", + "$MSE_list[[13]][[96]]\n", + "[1] 0.3204217\n", + "\n", + "$MSE_list[[13]][[97]]\n", + "[1] 0.2015345\n", + "\n", + "$MSE_list[[13]][[98]]\n", + "[1] 0.2798132\n", + "\n", + "$MSE_list[[13]][[99]]\n", + "[1] 0.2935253\n", + "\n", + "$MSE_list[[13]][[100]]\n", + "[1] 0.1743015\n", + "\n", + "\n", + "$MSE_list[[14]]\n", + "$MSE_list[[14]][[1]]\n", + "[1] 0.2834671\n", + "\n", + "$MSE_list[[14]][[2]]\n", + "[1] 0.1995592\n", + "\n", + "$MSE_list[[14]][[3]]\n", + "[1] 0.1680503\n", + "\n", + "$MSE_list[[14]][[4]]\n", + "[1] 0.2487868\n", + "\n", + "$MSE_list[[14]][[5]]\n", + "[1] 0.2596929\n", + "\n", + "$MSE_list[[14]][[6]]\n", + "[1] 0.3399623\n", + "\n", + "$MSE_list[[14]][[7]]\n", + "[1] 0.3827593\n", + "\n", + "$MSE_list[[14]][[8]]\n", + "[1] 0.2347853\n", + "\n", + "$MSE_list[[14]][[9]]\n", + "[1] 0.255922\n", + "\n", + "$MSE_list[[14]][[10]]\n", + "[1] 0.2975294\n", + "\n", + "$MSE_list[[14]][[11]]\n", + "[1] 0.2530499\n", + "\n", + "$MSE_list[[14]][[12]]\n", + "[1] 0.3438223\n", + "\n", + "$MSE_list[[14]][[13]]\n", + "[1] 0.33639\n", + "\n", + "$MSE_list[[14]][[14]]\n", + "[1] 0.4012478\n", + "\n", + "$MSE_list[[14]][[15]]\n", + "[1] 0.1337233\n", + "\n", + "$MSE_list[[14]][[16]]\n", + "[1] 0.2987646\n", + "\n", + "$MSE_list[[14]][[17]]\n", + "[1] 0.2661154\n", + "\n", + "$MSE_list[[14]][[18]]\n", + "[1] 0.1644055\n", + "\n", + "$MSE_list[[14]][[19]]\n", + "[1] 0.2489429\n", + "\n", + "$MSE_list[[14]][[20]]\n", + "[1] 0.3484135\n", + "\n", + "$MSE_list[[14]][[21]]\n", + "[1] 0.1091193\n", + "\n", + "$MSE_list[[14]][[22]]\n", + "[1] 0.2431445\n", + "\n", + "$MSE_list[[14]][[23]]\n", + "[1] 0.436334\n", + "\n", + "$MSE_list[[14]][[24]]\n", + "[1] 0.2309404\n", + "\n", + "$MSE_list[[14]][[25]]\n", + "[1] 0.3685061\n", + "\n", + "$MSE_list[[14]][[26]]\n", + "[1] 0.3453359\n", + "\n", + "$MSE_list[[14]][[27]]\n", + "[1] 0.32253\n", + "\n", + "$MSE_list[[14]][[28]]\n", + "[1] 0.1979232\n", + "\n", + "$MSE_list[[14]][[29]]\n", + "[1] 0.3761928\n", + "\n", + "$MSE_list[[14]][[30]]\n", + "[1] 0.2574848\n", + "\n", + "$MSE_list[[14]][[31]]\n", + "[1] 0.498852\n", + "\n", + "$MSE_list[[14]][[32]]\n", + "[1] 0.2081478\n", + "\n", + "$MSE_list[[14]][[33]]\n", + "[1] 0.2758686\n", + "\n", + "$MSE_list[[14]][[34]]\n", + "[1] 0.2321996\n", + "\n", + "$MSE_list[[14]][[35]]\n", + "[1] 0.2455599\n", + "\n", + "$MSE_list[[14]][[36]]\n", + "[1] 0.2321678\n", + "\n", + "$MSE_list[[14]][[37]]\n", + "[1] 0.2085074\n", + "\n", + "$MSE_list[[14]][[38]]\n", + "[1] 0.2063873\n", + "\n", + "$MSE_list[[14]][[39]]\n", + "[1] 0.2732372\n", + "\n", + "$MSE_list[[14]][[40]]\n", + "[1] 0.3300242\n", + "\n", + "$MSE_list[[14]][[41]]\n", + "[1] 0.2564497\n", + "\n", + "$MSE_list[[14]][[42]]\n", + "[1] 0.4711666\n", + "\n", + "$MSE_list[[14]][[43]]\n", + "[1] 0.3670819\n", + "\n", + "$MSE_list[[14]][[44]]\n", + "[1] 0.2866519\n", + "\n", + "$MSE_list[[14]][[45]]\n", + "[1] 0.32052\n", + "\n", + "$MSE_list[[14]][[46]]\n", + "[1] 0.3206448\n", + "\n", + "$MSE_list[[14]][[47]]\n", + "[1] 0.3666184\n", + "\n", + "$MSE_list[[14]][[48]]\n", + "[1] 0.2960511\n", + "\n", + "$MSE_list[[14]][[49]]\n", + "[1] 0.242299\n", + "\n", + "$MSE_list[[14]][[50]]\n", + "[1] 0.2389352\n", + "\n", + "$MSE_list[[14]][[51]]\n", + "[1] 0.1513213\n", + "\n", + "$MSE_list[[14]][[52]]\n", + "[1] 0.2813785\n", + "\n", + "$MSE_list[[14]][[53]]\n", + "[1] 0.194023\n", + "\n", + "$MSE_list[[14]][[54]]\n", + "[1] 0.175628\n", + "\n", + "$MSE_list[[14]][[55]]\n", + "[1] 0.2322502\n", + "\n", + "$MSE_list[[14]][[56]]\n", + "[1] 0.2305879\n", + "\n", + "$MSE_list[[14]][[57]]\n", + "[1] 0.3033548\n", + "\n", + "$MSE_list[[14]][[58]]\n", + "[1] 0.2179745\n", + "\n", + "$MSE_list[[14]][[59]]\n", + "[1] 0.2889667\n", + "\n", + "$MSE_list[[14]][[60]]\n", + "[1] 0.396862\n", + "\n", + "$MSE_list[[14]][[61]]\n", + "[1] 0.2834938\n", + "\n", + "$MSE_list[[14]][[62]]\n", + "[1] 0.1440688\n", + "\n", + "$MSE_list[[14]][[63]]\n", + "[1] 0.3177678\n", + "\n", + "$MSE_list[[14]][[64]]\n", + "[1] 0.3867456\n", + "\n", + "$MSE_list[[14]][[65]]\n", + "[1] 0.2413829\n", + "\n", + "$MSE_list[[14]][[66]]\n", + "[1] 0.318029\n", + "\n", + "$MSE_list[[14]][[67]]\n", + "[1] 0.350571\n", + "\n", + "$MSE_list[[14]][[68]]\n", + "[1] 0.2181775\n", + "\n", + "$MSE_list[[14]][[69]]\n", + "[1] 0.374625\n", + "\n", + "$MSE_list[[14]][[70]]\n", + "[1] 0.1876898\n", + "\n", + "$MSE_list[[14]][[71]]\n", + "[1] 0.2124144\n", + "\n", + "$MSE_list[[14]][[72]]\n", + "[1] 0.1738616\n", + "\n", + "$MSE_list[[14]][[73]]\n", + "[1] 0.349819\n", + "\n", + "$MSE_list[[14]][[74]]\n", + "[1] 0.196396\n", + "\n", + "$MSE_list[[14]][[75]]\n", + "[1] 0.3213835\n", + "\n", + "$MSE_list[[14]][[76]]\n", + "[1] 0.2608696\n", + "\n", + "$MSE_list[[14]][[77]]\n", + "[1] 0.3268686\n", + "\n", + "$MSE_list[[14]][[78]]\n", + "[1] 0.3113074\n", + "\n", + "$MSE_list[[14]][[79]]\n", + "[1] 0.2585422\n", + "\n", + "$MSE_list[[14]][[80]]\n", + "[1] 0.2203294\n", + "\n", + "$MSE_list[[14]][[81]]\n", + "[1] 0.2348928\n", + "\n", + "$MSE_list[[14]][[82]]\n", + "[1] 0.443705\n", + "\n", + "$MSE_list[[14]][[83]]\n", + "[1] 0.3486576\n", + "\n", + "$MSE_list[[14]][[84]]\n", + "[1] 0.3955685\n", + "\n", + "$MSE_list[[14]][[85]]\n", + "[1] 0.3569069\n", + "\n", + "$MSE_list[[14]][[86]]\n", + "[1] 0.2997638\n", + "\n", + "$MSE_list[[14]][[87]]\n", + "[1] 0.4387274\n", + "\n", + "$MSE_list[[14]][[88]]\n", + "[1] 0.2898815\n", + "\n", + "$MSE_list[[14]][[89]]\n", + "[1] 0.3570068\n", + "\n", + "$MSE_list[[14]][[90]]\n", + "[1] 0.2673748\n", + "\n", + "$MSE_list[[14]][[91]]\n", + "[1] 0.3065524\n", + "\n", + "$MSE_list[[14]][[92]]\n", + "[1] 0.2776781\n", + "\n", + "$MSE_list[[14]][[93]]\n", + "[1] 0.3793283\n", + "\n", + "$MSE_list[[14]][[94]]\n", + "[1] 0.2448058\n", + "\n", + "$MSE_list[[14]][[95]]\n", + "[1] 0.1106989\n", + "\n", + "$MSE_list[[14]][[96]]\n", + "[1] 0.158852\n", + "\n", + "$MSE_list[[14]][[97]]\n", + "[1] 0.2880585\n", + "\n", + "$MSE_list[[14]][[98]]\n", + "[1] 0.2781893\n", + "\n", + "$MSE_list[[14]][[99]]\n", + "[1] 0.3385719\n", + "\n", + "$MSE_list[[14]][[100]]\n", + "[1] 0.3559587\n", + "\n", + "\n", + "$MSE_list[[15]]\n", + "$MSE_list[[15]][[1]]\n", + "[1] 0.1879164\n", + "\n", + "$MSE_list[[15]][[2]]\n", + "[1] 0.1429411\n", + "\n", + "$MSE_list[[15]][[3]]\n", + "[1] 0.2798903\n", + "\n", + "$MSE_list[[15]][[4]]\n", + "[1] 0.2153835\n", + "\n", + "$MSE_list[[15]][[5]]\n", + "[1] 0.08593258\n", + "\n", + "$MSE_list[[15]][[6]]\n", + "[1] 0.1056525\n", + "\n", + "$MSE_list[[15]][[7]]\n", + "[1] 0.1985673\n", + "\n", + "$MSE_list[[15]][[8]]\n", + "[1] 0.1512325\n", + "\n", + "$MSE_list[[15]][[9]]\n", + "[1] 0.1565384\n", + "\n", + "$MSE_list[[15]][[10]]\n", + "[1] 0.08147006\n", + "\n", + "$MSE_list[[15]][[11]]\n", + "[1] 0.1738076\n", + "\n", + "$MSE_list[[15]][[12]]\n", + "[1] 0.2940276\n", + "\n", + "$MSE_list[[15]][[13]]\n", + "[1] 0.2305493\n", + "\n", + "$MSE_list[[15]][[14]]\n", + "[1] 0.07923021\n", + "\n", + "$MSE_list[[15]][[15]]\n", + "[1] 0.2405692\n", + "\n", + "$MSE_list[[15]][[16]]\n", + "[1] 0.08158282\n", + "\n", + "$MSE_list[[15]][[17]]\n", + "[1] 0.2877114\n", + "\n", + "$MSE_list[[15]][[18]]\n", + "[1] 0.2515469\n", + "\n", + "$MSE_list[[15]][[19]]\n", + "[1] 0.1870505\n", + "\n", + "$MSE_list[[15]][[20]]\n", + "[1] 0.2465857\n", + "\n", + "$MSE_list[[15]][[21]]\n", + "[1] 0.2043906\n", + "\n", + "$MSE_list[[15]][[22]]\n", + "[1] 0.2301301\n", + "\n", + "$MSE_list[[15]][[23]]\n", + "[1] 0.1938742\n", + "\n", + "$MSE_list[[15]][[24]]\n", + "[1] 0.3187946\n", + "\n", + "$MSE_list[[15]][[25]]\n", + "[1] 0.2562535\n", + "\n", + "$MSE_list[[15]][[26]]\n", + "[1] 0.212932\n", + "\n", + "$MSE_list[[15]][[27]]\n", + "[1] 0.2948268\n", + "\n", + "$MSE_list[[15]][[28]]\n", + "[1] 0.1261073\n", + "\n", + "$MSE_list[[15]][[29]]\n", + "[1] 0.2477383\n", + "\n", + "$MSE_list[[15]][[30]]\n", + "[1] 0.2667988\n", + "\n", + "$MSE_list[[15]][[31]]\n", + "[1] 0.2014177\n", + "\n", + "$MSE_list[[15]][[32]]\n", + "[1] 0.2871728\n", + "\n", + "$MSE_list[[15]][[33]]\n", + "[1] 0.3193607\n", + "\n", + "$MSE_list[[15]][[34]]\n", + "[1] 0.3012547\n", + "\n", + "$MSE_list[[15]][[35]]\n", + "[1] 0.2748004\n", + "\n", + "$MSE_list[[15]][[36]]\n", + "[1] 0.3201985\n", + "\n", + "$MSE_list[[15]][[37]]\n", + "[1] 0.1730587\n", + "\n", + "$MSE_list[[15]][[38]]\n", + "[1] 0.1708873\n", + "\n", + "$MSE_list[[15]][[39]]\n", + "[1] 0.4254557\n", + "\n", + "$MSE_list[[15]][[40]]\n", + "[1] 0.2752248\n", + "\n", + "$MSE_list[[15]][[41]]\n", + "[1] 0.1925893\n", + "\n", + "$MSE_list[[15]][[42]]\n", + "[1] 0.2678581\n", + "\n", + "$MSE_list[[15]][[43]]\n", + "[1] 0.1373289\n", + "\n", + "$MSE_list[[15]][[44]]\n", + "[1] 0.1878894\n", + "\n", + "$MSE_list[[15]][[45]]\n", + "[1] 0.2060485\n", + "\n", + "$MSE_list[[15]][[46]]\n", + "[1] 0.2144379\n", + "\n", + "$MSE_list[[15]][[47]]\n", + "[1] 0.1274402\n", + "\n", + "$MSE_list[[15]][[48]]\n", + "[1] 0.3018714\n", + "\n", + "$MSE_list[[15]][[49]]\n", + "[1] 0.2380931\n", + "\n", + "$MSE_list[[15]][[50]]\n", + "[1] 0.2855282\n", + "\n", + "$MSE_list[[15]][[51]]\n", + "[1] 0.1495858\n", + "\n", + "$MSE_list[[15]][[52]]\n", + "[1] 0.1675665\n", + "\n", + "$MSE_list[[15]][[53]]\n", + "[1] 0.1411651\n", + "\n", + "$MSE_list[[15]][[54]]\n", + "[1] 0.3178089\n", + "\n", + "$MSE_list[[15]][[55]]\n", + "[1] 0.1787342\n", + "\n", + "$MSE_list[[15]][[56]]\n", + "[1] 0.1301488\n", + "\n", + "$MSE_list[[15]][[57]]\n", + "[1] 0.2240517\n", + "\n", + "$MSE_list[[15]][[58]]\n", + "[1] 0.2110335\n", + "\n", + "$MSE_list[[15]][[59]]\n", + "[1] 0.2395394\n", + "\n", + "$MSE_list[[15]][[60]]\n", + "[1] 0.375928\n", + "\n", + "$MSE_list[[15]][[61]]\n", + "[1] 0.3007474\n", + "\n", + "$MSE_list[[15]][[62]]\n", + "[1] 0.2177815\n", + "\n", + "$MSE_list[[15]][[63]]\n", + "[1] 0.2161461\n", + "\n", + "$MSE_list[[15]][[64]]\n", + "[1] 0.3108357\n", + "\n", + "$MSE_list[[15]][[65]]\n", + "[1] 0.2976774\n", + "\n", + "$MSE_list[[15]][[66]]\n", + "[1] 0.2149604\n", + "\n", + "$MSE_list[[15]][[67]]\n", + "[1] 0.232924\n", + "\n", + "$MSE_list[[15]][[68]]\n", + "[1] 0.2665638\n", + "\n", + "$MSE_list[[15]][[69]]\n", + "[1] 0.1598308\n", + "\n", + "$MSE_list[[15]][[70]]\n", + "[1] 0.1429798\n", + "\n", + "$MSE_list[[15]][[71]]\n", + "[1] 0.1611436\n", + "\n", + "$MSE_list[[15]][[72]]\n", + "[1] 0.2453293\n", + "\n", + "$MSE_list[[15]][[73]]\n", + "[1] 0.1718307\n", + "\n", + "$MSE_list[[15]][[74]]\n", + "[1] 0.2739111\n", + "\n", + "$MSE_list[[15]][[75]]\n", + "[1] 0.2602887\n", + "\n", + "$MSE_list[[15]][[76]]\n", + "[1] 0.2951051\n", + "\n", + "$MSE_list[[15]][[77]]\n", + "[1] 0.2465919\n", + "\n", + "$MSE_list[[15]][[78]]\n", + "[1] 0.249691\n", + "\n", + "$MSE_list[[15]][[79]]\n", + "[1] 0.1985852\n", + "\n", + "$MSE_list[[15]][[80]]\n", + "[1] 0.1651856\n", + "\n", + "$MSE_list[[15]][[81]]\n", + "[1] 0.2899848\n", + "\n", + "$MSE_list[[15]][[82]]\n", + "[1] 0.2261553\n", + "\n", + "$MSE_list[[15]][[83]]\n", + "[1] 0.1360936\n", + "\n", + "$MSE_list[[15]][[84]]\n", + "[1] 0.2285516\n", + "\n", + "$MSE_list[[15]][[85]]\n", + "[1] 0.1601772\n", + "\n", + "$MSE_list[[15]][[86]]\n", + "[1] 0.2591892\n", + "\n", + "$MSE_list[[15]][[87]]\n", + "[1] 0.1980194\n", + "\n", + "$MSE_list[[15]][[88]]\n", + "[1] 0.2926279\n", + "\n", + "$MSE_list[[15]][[89]]\n", + "[1] 0.2151905\n", + "\n", + "$MSE_list[[15]][[90]]\n", + "[1] 0.2668588\n", + "\n", + "$MSE_list[[15]][[91]]\n", + "[1] 0.1221721\n", + "\n", + "$MSE_list[[15]][[92]]\n", + "[1] 0.1806281\n", + "\n", + "$MSE_list[[15]][[93]]\n", + "[1] 0.1375937\n", + "\n", + "$MSE_list[[15]][[94]]\n", + "[1] 0.1521842\n", + "\n", + "$MSE_list[[15]][[95]]\n", + "[1] 0.2221437\n", + "\n", + "$MSE_list[[15]][[96]]\n", + "[1] 0.1033127\n", + "\n", + "$MSE_list[[15]][[97]]\n", + "[1] 0.2589692\n", + "\n", + "$MSE_list[[15]][[98]]\n", + "[1] 0.296129\n", + "\n", + "$MSE_list[[15]][[99]]\n", + "[1] 0.2909102\n", + "\n", + "$MSE_list[[15]][[100]]\n", + "[1] 0.2186649\n", + "\n", + "\n", + "$MSE_list[[16]]\n", + "$MSE_list[[16]][[1]]\n", + "[1] 0.3123501\n", + "\n", + "$MSE_list[[16]][[2]]\n", + "[1] 0.1140167\n", + "\n", + "$MSE_list[[16]][[3]]\n", + "[1] 0.3622508\n", + "\n", + "$MSE_list[[16]][[4]]\n", + "[1] 0.3033364\n", + "\n", + "$MSE_list[[16]][[5]]\n", + "[1] 0.4163524\n", + "\n", + "$MSE_list[[16]][[6]]\n", + "[1] 0.1167501\n", + "\n", + "$MSE_list[[16]][[7]]\n", + "[1] 0.2278364\n", + "\n", + "$MSE_list[[16]][[8]]\n", + "[1] 0.1912546\n", + "\n", + "$MSE_list[[16]][[9]]\n", + "[1] 0.2755022\n", + "\n", + "$MSE_list[[16]][[10]]\n", + "[1] 0.251671\n", + "\n", + "$MSE_list[[16]][[11]]\n", + "[1] 0.2897718\n", + "\n", + "$MSE_list[[16]][[12]]\n", + "[1] 0.3896801\n", + "\n", + "$MSE_list[[16]][[13]]\n", + "[1] 0.1750587\n", + "\n", + "$MSE_list[[16]][[14]]\n", + "[1] 0.3225947\n", + "\n", + "$MSE_list[[16]][[15]]\n", + "[1] 0.1885123\n", + "\n", + "$MSE_list[[16]][[16]]\n", + "[1] 0.3139321\n", + "\n", + "$MSE_list[[16]][[17]]\n", + "[1] 0.2984076\n", + "\n", + "$MSE_list[[16]][[18]]\n", + "[1] 0.1849345\n", + "\n", + "$MSE_list[[16]][[19]]\n", + "[1] 0.1948926\n", + "\n", + "$MSE_list[[16]][[20]]\n", + "[1] 0.2611334\n", + "\n", + "$MSE_list[[16]][[21]]\n", + "[1] 0.2499514\n", + "\n", + "$MSE_list[[16]][[22]]\n", + "[1] 0.3497408\n", + "\n", + "$MSE_list[[16]][[23]]\n", + "[1] 0.2234132\n", + "\n", + "$MSE_list[[16]][[24]]\n", + "[1] 0.207726\n", + "\n", + "$MSE_list[[16]][[25]]\n", + "[1] 0.3515597\n", + "\n", + "$MSE_list[[16]][[26]]\n", + "[1] 0.2204482\n", + "\n", + "$MSE_list[[16]][[27]]\n", + "[1] 0.144815\n", + "\n", + "$MSE_list[[16]][[28]]\n", + "[1] 0.2774549\n", + "\n", + "$MSE_list[[16]][[29]]\n", + "[1] 0.3626087\n", + "\n", + "$MSE_list[[16]][[30]]\n", + "[1] 0.3444198\n", + "\n", + "$MSE_list[[16]][[31]]\n", + "[1] 0.1769495\n", + "\n", + "$MSE_list[[16]][[32]]\n", + "[1] 0.2134944\n", + "\n", + "$MSE_list[[16]][[33]]\n", + "[1] 0.241698\n", + "\n", + "$MSE_list[[16]][[34]]\n", + "[1] 0.2143985\n", + "\n", + "$MSE_list[[16]][[35]]\n", + "[1] 0.3077227\n", + "\n", + "$MSE_list[[16]][[36]]\n", + "[1] 0.2484422\n", + "\n", + "$MSE_list[[16]][[37]]\n", + "[1] 0.1030858\n", + "\n", + "$MSE_list[[16]][[38]]\n", + "[1] 0.2567887\n", + "\n", + "$MSE_list[[16]][[39]]\n", + "[1] 0.2479961\n", + "\n", + "$MSE_list[[16]][[40]]\n", + "[1] 0.3144446\n", + "\n", + "$MSE_list[[16]][[41]]\n", + "[1] 0.2870479\n", + "\n", + "$MSE_list[[16]][[42]]\n", + "[1] 0.1906961\n", + "\n", + "$MSE_list[[16]][[43]]\n", + "[1] 0.2023297\n", + "\n", + "$MSE_list[[16]][[44]]\n", + "[1] 0.2341908\n", + "\n", + "$MSE_list[[16]][[45]]\n", + "[1] 0.2932668\n", + "\n", + "$MSE_list[[16]][[46]]\n", + "[1] 0.1900534\n", + "\n", + "$MSE_list[[16]][[47]]\n", + "[1] 0.2739944\n", + "\n", + "$MSE_list[[16]][[48]]\n", + "[1] 0.2183781\n", + "\n", + "$MSE_list[[16]][[49]]\n", + "[1] 0.2575852\n", + "\n", + "$MSE_list[[16]][[50]]\n", + "[1] 0.2161548\n", + "\n", + "$MSE_list[[16]][[51]]\n", + "[1] 0.2009586\n", + "\n", + "$MSE_list[[16]][[52]]\n", + "[1] 0.2079635\n", + "\n", + "$MSE_list[[16]][[53]]\n", + "[1] 0.2374845\n", + "\n", + "$MSE_list[[16]][[54]]\n", + "[1] 0.2463045\n", + "\n", + "$MSE_list[[16]][[55]]\n", + "[1] 0.1852084\n", + "\n", + "$MSE_list[[16]][[56]]\n", + "[1] 0.344157\n", + "\n", + "$MSE_list[[16]][[57]]\n", + "[1] 0.1511497\n", + "\n", + "$MSE_list[[16]][[58]]\n", + "[1] 0.2270075\n", + "\n", + "$MSE_list[[16]][[59]]\n", + "[1] 0.2324804\n", + "\n", + "$MSE_list[[16]][[60]]\n", + "[1] 0.214542\n", + "\n", + "$MSE_list[[16]][[61]]\n", + "[1] 0.1155777\n", + "\n", + "$MSE_list[[16]][[62]]\n", + "[1] 0.1597027\n", + "\n", + "$MSE_list[[16]][[63]]\n", + "[1] 0.151085\n", + "\n", + "$MSE_list[[16]][[64]]\n", + "[1] 0.2971259\n", + "\n", + "$MSE_list[[16]][[65]]\n", + "[1] 0.1348634\n", + "\n", + "$MSE_list[[16]][[66]]\n", + "[1] 0.3092089\n", + "\n", + "$MSE_list[[16]][[67]]\n", + "[1] 0.4017911\n", + "\n", + "$MSE_list[[16]][[68]]\n", + "[1] 0.1986648\n", + "\n", + "$MSE_list[[16]][[69]]\n", + "[1] 0.1853121\n", + "\n", + "$MSE_list[[16]][[70]]\n", + "[1] 0.1779521\n", + "\n", + "$MSE_list[[16]][[71]]\n", + "[1] 0.243667\n", + "\n", + "$MSE_list[[16]][[72]]\n", + "[1] 0.2114582\n", + "\n", + "$MSE_list[[16]][[73]]\n", + "[1] 0.218549\n", + "\n", + "$MSE_list[[16]][[74]]\n", + "[1] 0.1644195\n", + "\n", + "$MSE_list[[16]][[75]]\n", + "[1] 0.1519116\n", + "\n", + "$MSE_list[[16]][[76]]\n", + "[1] 0.3818133\n", + "\n", + "$MSE_list[[16]][[77]]\n", + "[1] 0.2626498\n", + "\n", + "$MSE_list[[16]][[78]]\n", + "[1] 0.1317784\n", + "\n", + "$MSE_list[[16]][[79]]\n", + "[1] 0.2344878\n", + "\n", + "$MSE_list[[16]][[80]]\n", + "[1] 0.2476792\n", + "\n", + "$MSE_list[[16]][[81]]\n", + "[1] 0.1636336\n", + "\n", + "$MSE_list[[16]][[82]]\n", + "[1] 0.2052982\n", + "\n", + "$MSE_list[[16]][[83]]\n", + "[1] 0.3021492\n", + "\n", + "$MSE_list[[16]][[84]]\n", + "[1] 0.2796183\n", + "\n", + "$MSE_list[[16]][[85]]\n", + "[1] 0.240542\n", + "\n", + "$MSE_list[[16]][[86]]\n", + "[1] 0.3057998\n", + "\n", + "$MSE_list[[16]][[87]]\n", + "[1] 0.1761986\n", + "\n", + "$MSE_list[[16]][[88]]\n", + "[1] 0.2242575\n", + "\n", + "$MSE_list[[16]][[89]]\n", + "[1] 0.2358818\n", + "\n", + "$MSE_list[[16]][[90]]\n", + "[1] 0.252593\n", + "\n", + "$MSE_list[[16]][[91]]\n", + "[1] 0.3636279\n", + "\n", + "$MSE_list[[16]][[92]]\n", + "[1] 0.309152\n", + "\n", + "$MSE_list[[16]][[93]]\n", + "[1] 0.2699777\n", + "\n", + "$MSE_list[[16]][[94]]\n", + "[1] 0.2574392\n", + "\n", + "$MSE_list[[16]][[95]]\n", + "[1] 0.2470456\n", + "\n", + "$MSE_list[[16]][[96]]\n", + "[1] 0.1361634\n", + "\n", + "$MSE_list[[16]][[97]]\n", + "[1] 0.2263081\n", + "\n", + "$MSE_list[[16]][[98]]\n", + "[1] 0.2252606\n", + "\n", + "$MSE_list[[16]][[99]]\n", + "[1] 0.2858255\n", + "\n", + "$MSE_list[[16]][[100]]\n", + "[1] 0.2729752\n", + "\n", + "\n", + "$MSE_list[[17]]\n", + "$MSE_list[[17]][[1]]\n", + "[1] 0.3033972\n", + "\n", + "$MSE_list[[17]][[2]]\n", + "[1] 0.3526085\n", + "\n", + "$MSE_list[[17]][[3]]\n", + "[1] 0.1657491\n", + "\n", + "$MSE_list[[17]][[4]]\n", + "[1] 0.2388753\n", + "\n", + "$MSE_list[[17]][[5]]\n", + "[1] 0.2045782\n", + "\n", + "$MSE_list[[17]][[6]]\n", + "[1] 0.2481547\n", + "\n", + "$MSE_list[[17]][[7]]\n", + "[1] 0.1781443\n", + "\n", + "$MSE_list[[17]][[8]]\n", + "[1] 0.1610212\n", + "\n", + "$MSE_list[[17]][[9]]\n", + "[1] 0.2554132\n", + "\n", + "$MSE_list[[17]][[10]]\n", + "[1] 0.3401131\n", + "\n", + "$MSE_list[[17]][[11]]\n", + "[1] 0.3012412\n", + "\n", + "$MSE_list[[17]][[12]]\n", + "[1] 0.4064813\n", + "\n", + "$MSE_list[[17]][[13]]\n", + "[1] 0.1947968\n", + "\n", + "$MSE_list[[17]][[14]]\n", + "[1] 0.2326235\n", + "\n", + "$MSE_list[[17]][[15]]\n", + "[1] 0.279752\n", + "\n", + "$MSE_list[[17]][[16]]\n", + "[1] 0.173401\n", + "\n", + "$MSE_list[[17]][[17]]\n", + "[1] 0.1417291\n", + "\n", + "$MSE_list[[17]][[18]]\n", + "[1] 0.2321543\n", + "\n", + "$MSE_list[[17]][[19]]\n", + "[1] 0.3919312\n", + "\n", + "$MSE_list[[17]][[20]]\n", + "[1] 0.2045583\n", + "\n", + "$MSE_list[[17]][[21]]\n", + "[1] 0.1910948\n", + "\n", + "$MSE_list[[17]][[22]]\n", + "[1] 0.3403687\n", + "\n", + "$MSE_list[[17]][[23]]\n", + "[1] 0.3031323\n", + "\n", + "$MSE_list[[17]][[24]]\n", + "[1] 0.3272018\n", + "\n", + "$MSE_list[[17]][[25]]\n", + "[1] 0.1843068\n", + "\n", + "$MSE_list[[17]][[26]]\n", + "[1] 0.2416576\n", + "\n", + "$MSE_list[[17]][[27]]\n", + "[1] 0.1506631\n", + "\n", + "$MSE_list[[17]][[28]]\n", + "[1] 0.1891195\n", + "\n", + "$MSE_list[[17]][[29]]\n", + "[1] 0.2692707\n", + "\n", + "$MSE_list[[17]][[30]]\n", + "[1] 0.223736\n", + "\n", + "$MSE_list[[17]][[31]]\n", + "[1] 0.2002902\n", + "\n", + "$MSE_list[[17]][[32]]\n", + "[1] 0.3796783\n", + "\n", + "$MSE_list[[17]][[33]]\n", + "[1] 0.1602234\n", + "\n", + "$MSE_list[[17]][[34]]\n", + "[1] 0.2945043\n", + "\n", + "$MSE_list[[17]][[35]]\n", + "[1] 0.4053599\n", + "\n", + "$MSE_list[[17]][[36]]\n", + "[1] 0.216396\n", + "\n", + "$MSE_list[[17]][[37]]\n", + "[1] 0.2631472\n", + "\n", + "$MSE_list[[17]][[38]]\n", + "[1] 0.3442379\n", + "\n", + "$MSE_list[[17]][[39]]\n", + "[1] 0.3417029\n", + "\n", + "$MSE_list[[17]][[40]]\n", + "[1] 0.2898519\n", + "\n", + "$MSE_list[[17]][[41]]\n", + "[1] 0.2655978\n", + "\n", + "$MSE_list[[17]][[42]]\n", + "[1] 0.3831914\n", + "\n", + "$MSE_list[[17]][[43]]\n", + "[1] 0.1952229\n", + "\n", + "$MSE_list[[17]][[44]]\n", + "[1] 0.2232012\n", + "\n", + "$MSE_list[[17]][[45]]\n", + "[1] 0.2074876\n", + "\n", + "$MSE_list[[17]][[46]]\n", + "[1] 0.4502325\n", + "\n", + "$MSE_list[[17]][[47]]\n", + "[1] 0.2337133\n", + "\n", + "$MSE_list[[17]][[48]]\n", + "[1] 0.2634968\n", + "\n", + "$MSE_list[[17]][[49]]\n", + "[1] 0.2674072\n", + "\n", + "$MSE_list[[17]][[50]]\n", + "[1] 0.2936025\n", + "\n", + "$MSE_list[[17]][[51]]\n", + "[1] 0.2578283\n", + "\n", + "$MSE_list[[17]][[52]]\n", + "[1] 0.2773817\n", + "\n", + "$MSE_list[[17]][[53]]\n", + "[1] 0.2232707\n", + "\n", + "$MSE_list[[17]][[54]]\n", + "[1] 0.2437714\n", + "\n", + "$MSE_list[[17]][[55]]\n", + "[1] 0.3539547\n", + "\n", + "$MSE_list[[17]][[56]]\n", + "[1] 0.3223558\n", + "\n", + "$MSE_list[[17]][[57]]\n", + "[1] 0.1908714\n", + "\n", + "$MSE_list[[17]][[58]]\n", + "[1] 0.08675621\n", + "\n", + "$MSE_list[[17]][[59]]\n", + "[1] 0.3078695\n", + "\n", + "$MSE_list[[17]][[60]]\n", + "[1] 0.2828262\n", + "\n", + "$MSE_list[[17]][[61]]\n", + "[1] 0.1551054\n", + "\n", + "$MSE_list[[17]][[62]]\n", + "[1] 0.2281266\n", + "\n", + "$MSE_list[[17]][[63]]\n", + "[1] 0.2852442\n", + "\n", + "$MSE_list[[17]][[64]]\n", + "[1] 0.1550273\n", + "\n", + "$MSE_list[[17]][[65]]\n", + "[1] 0.305255\n", + "\n", + "$MSE_list[[17]][[66]]\n", + "[1] 0.2875948\n", + "\n", + "$MSE_list[[17]][[67]]\n", + "[1] 0.2919879\n", + "\n", + "$MSE_list[[17]][[68]]\n", + "[1] 0.2571841\n", + "\n", + "$MSE_list[[17]][[69]]\n", + "[1] 0.2446271\n", + "\n", + "$MSE_list[[17]][[70]]\n", + "[1] 0.2132336\n", + "\n", + "$MSE_list[[17]][[71]]\n", + "[1] 0.233642\n", + "\n", + "$MSE_list[[17]][[72]]\n", + "[1] 0.3715406\n", + "\n", + "$MSE_list[[17]][[73]]\n", + "[1] 0.3303686\n", + "\n", + "$MSE_list[[17]][[74]]\n", + "[1] 0.1993523\n", + "\n", + "$MSE_list[[17]][[75]]\n", + "[1] 0.2969005\n", + "\n", + "$MSE_list[[17]][[76]]\n", + "[1] 0.2901016\n", + "\n", + "$MSE_list[[17]][[77]]\n", + "[1] 0.138745\n", + "\n", + "$MSE_list[[17]][[78]]\n", + "[1] 0.2014364\n", + "\n", + "$MSE_list[[17]][[79]]\n", + "[1] 0.3062374\n", + "\n", + "$MSE_list[[17]][[80]]\n", + "[1] 0.2119575\n", + "\n", + "$MSE_list[[17]][[81]]\n", + "[1] 0.3001391\n", + "\n", + "$MSE_list[[17]][[82]]\n", + "[1] 0.2192587\n", + "\n", + "$MSE_list[[17]][[83]]\n", + "[1] 0.3028286\n", + "\n", + "$MSE_list[[17]][[84]]\n", + "[1] 0.2486017\n", + "\n", + "$MSE_list[[17]][[85]]\n", + "[1] 0.2350266\n", + "\n", + "$MSE_list[[17]][[86]]\n", + "[1] 0.2715115\n", + "\n", + "$MSE_list[[17]][[87]]\n", + "[1] 0.2656595\n", + "\n", + "$MSE_list[[17]][[88]]\n", + "[1] 0.1639626\n", + "\n", + "$MSE_list[[17]][[89]]\n", + "[1] 0.2282489\n", + "\n", + "$MSE_list[[17]][[90]]\n", + "[1] 0.3920618\n", + "\n", + "$MSE_list[[17]][[91]]\n", + "[1] 0.3318938\n", + "\n", + "$MSE_list[[17]][[92]]\n", + "[1] 0.2927508\n", + "\n", + "$MSE_list[[17]][[93]]\n", + "[1] 0.1302851\n", + "\n", + "$MSE_list[[17]][[94]]\n", + "[1] 0.2447836\n", + "\n", + "$MSE_list[[17]][[95]]\n", + "[1] 0.222972\n", + "\n", + "$MSE_list[[17]][[96]]\n", + "[1] 0.2658686\n", + "\n", + "$MSE_list[[17]][[97]]\n", + "[1] 0.1134216\n", + "\n", + "$MSE_list[[17]][[98]]\n", + "[1] 0.2164874\n", + "\n", + "$MSE_list[[17]][[99]]\n", + "[1] 0.2853892\n", + "\n", + "$MSE_list[[17]][[100]]\n", + "[1] 0.1991733\n", + "\n", + "\n", + "$MSE_list[[18]]\n", + "$MSE_list[[18]][[1]]\n", + "[1] 0.3017626\n", + "\n", + "$MSE_list[[18]][[2]]\n", + "[1] 0.3395674\n", + "\n", + "$MSE_list[[18]][[3]]\n", + "[1] 0.2961419\n", + "\n", + "$MSE_list[[18]][[4]]\n", + "[1] 0.3282903\n", + "\n", + "$MSE_list[[18]][[5]]\n", + "[1] 0.3174571\n", + "\n", + "$MSE_list[[18]][[6]]\n", + "[1] 0.3426037\n", + "\n", + "$MSE_list[[18]][[7]]\n", + "[1] 0.2551304\n", + "\n", + "$MSE_list[[18]][[8]]\n", + "[1] 0.2361778\n", + "\n", + "$MSE_list[[18]][[9]]\n", + "[1] 0.2497246\n", + "\n", + "$MSE_list[[18]][[10]]\n", + "[1] 0.2104181\n", + "\n", + "$MSE_list[[18]][[11]]\n", + "[1] 0.3673826\n", + "\n", + "$MSE_list[[18]][[12]]\n", + "[1] 0.2010993\n", + "\n", + "$MSE_list[[18]][[13]]\n", + "[1] 0.1812753\n", + "\n", + "$MSE_list[[18]][[14]]\n", + "[1] 0.1900317\n", + "\n", + "$MSE_list[[18]][[15]]\n", + "[1] 0.2265156\n", + "\n", + "$MSE_list[[18]][[16]]\n", + "[1] 0.3180144\n", + "\n", + "$MSE_list[[18]][[17]]\n", + "[1] 0.2670145\n", + "\n", + "$MSE_list[[18]][[18]]\n", + "[1] 0.2486273\n", + "\n", + "$MSE_list[[18]][[19]]\n", + "[1] 0.1963698\n", + "\n", + "$MSE_list[[18]][[20]]\n", + "[1] 0.2125687\n", + "\n", + "$MSE_list[[18]][[21]]\n", + "[1] 0.1734374\n", + "\n", + "$MSE_list[[18]][[22]]\n", + "[1] 0.2489317\n", + "\n", + "$MSE_list[[18]][[23]]\n", + "[1] 0.3069313\n", + "\n", + "$MSE_list[[18]][[24]]\n", + "[1] 0.1353625\n", + "\n", + "$MSE_list[[18]][[25]]\n", + "[1] 0.1413708\n", + "\n", + "$MSE_list[[18]][[26]]\n", + "[1] 0.2521846\n", + "\n", + "$MSE_list[[18]][[27]]\n", + "[1] 0.2432558\n", + "\n", + "$MSE_list[[18]][[28]]\n", + "[1] 0.2780157\n", + "\n", + "$MSE_list[[18]][[29]]\n", + "[1] 0.2005442\n", + "\n", + "$MSE_list[[18]][[30]]\n", + "[1] 0.2879788\n", + "\n", + "$MSE_list[[18]][[31]]\n", + "[1] 0.2598895\n", + "\n", + "$MSE_list[[18]][[32]]\n", + "[1] 0.1525355\n", + "\n", + "$MSE_list[[18]][[33]]\n", + "[1] 0.3556208\n", + "\n", + "$MSE_list[[18]][[34]]\n", + "[1] 0.2968522\n", + "\n", + "$MSE_list[[18]][[35]]\n", + "[1] 0.2249576\n", + "\n", + "$MSE_list[[18]][[36]]\n", + "[1] 0.2800468\n", + "\n", + "$MSE_list[[18]][[37]]\n", + "[1] 0.3053483\n", + "\n", + "$MSE_list[[18]][[38]]\n", + "[1] 0.2146939\n", + "\n", + "$MSE_list[[18]][[39]]\n", + "[1] 0.1832162\n", + "\n", + "$MSE_list[[18]][[40]]\n", + "[1] 0.2922393\n", + "\n", + "$MSE_list[[18]][[41]]\n", + "[1] 0.2790837\n", + "\n", + "$MSE_list[[18]][[42]]\n", + "[1] 0.2763647\n", + "\n", + "$MSE_list[[18]][[43]]\n", + "[1] 0.2136359\n", + "\n", + "$MSE_list[[18]][[44]]\n", + "[1] 0.232103\n", + "\n", + "$MSE_list[[18]][[45]]\n", + "[1] 0.286088\n", + "\n", + "$MSE_list[[18]][[46]]\n", + "[1] 0.2249324\n", + "\n", + "$MSE_list[[18]][[47]]\n", + "[1] 0.3147205\n", + "\n", + "$MSE_list[[18]][[48]]\n", + "[1] 0.2706203\n", + "\n", + "$MSE_list[[18]][[49]]\n", + "[1] 0.2283925\n", + "\n", + "$MSE_list[[18]][[50]]\n", + "[1] 0.1948813\n", + "\n", + "$MSE_list[[18]][[51]]\n", + "[1] 0.3590541\n", + "\n", + "$MSE_list[[18]][[52]]\n", + "[1] 0.2702039\n", + "\n", + "$MSE_list[[18]][[53]]\n", + "[1] 0.3193245\n", + "\n", + "$MSE_list[[18]][[54]]\n", + "[1] 0.1265099\n", + "\n", + "$MSE_list[[18]][[55]]\n", + "[1] 0.1102117\n", + "\n", + "$MSE_list[[18]][[56]]\n", + "[1] 0.2769081\n", + "\n", + "$MSE_list[[18]][[57]]\n", + "[1] 0.09539545\n", + "\n", + "$MSE_list[[18]][[58]]\n", + "[1] 0.3818477\n", + "\n", + "$MSE_list[[18]][[59]]\n", + "[1] 0.2741626\n", + "\n", + "$MSE_list[[18]][[60]]\n", + "[1] 0.2848677\n", + "\n", + "$MSE_list[[18]][[61]]\n", + "[1] 0.2519155\n", + "\n", + "$MSE_list[[18]][[62]]\n", + "[1] 0.2837592\n", + "\n", + "$MSE_list[[18]][[63]]\n", + "[1] 0.218614\n", + "\n", + "$MSE_list[[18]][[64]]\n", + "[1] 0.2722545\n", + "\n", + "$MSE_list[[18]][[65]]\n", + "[1] 0.2259626\n", + "\n", + "$MSE_list[[18]][[66]]\n", + "[1] 0.2042071\n", + "\n", + "$MSE_list[[18]][[67]]\n", + "[1] 0.2828121\n", + "\n", + "$MSE_list[[18]][[68]]\n", + "[1] 0.2319787\n", + "\n", + "$MSE_list[[18]][[69]]\n", + "[1] 0.2694623\n", + "\n", + "$MSE_list[[18]][[70]]\n", + "[1] 0.2308739\n", + "\n", + "$MSE_list[[18]][[71]]\n", + "[1] 0.1352841\n", + "\n", + "$MSE_list[[18]][[72]]\n", + "[1] 0.2022919\n", + "\n", + "$MSE_list[[18]][[73]]\n", + "[1] 0.1730077\n", + "\n", + "$MSE_list[[18]][[74]]\n", + "[1] 0.2359081\n", + "\n", + "$MSE_list[[18]][[75]]\n", + "[1] 0.2180495\n", + "\n", + "$MSE_list[[18]][[76]]\n", + "[1] 0.2237441\n", + "\n", + "$MSE_list[[18]][[77]]\n", + "[1] 0.1976206\n", + "\n", + "$MSE_list[[18]][[78]]\n", + "[1] 0.2482043\n", + "\n", + "$MSE_list[[18]][[79]]\n", + "[1] 0.1919366\n", + "\n", + "$MSE_list[[18]][[80]]\n", + "[1] 0.1931515\n", + "\n", + "$MSE_list[[18]][[81]]\n", + "[1] 0.1451747\n", + "\n", + "$MSE_list[[18]][[82]]\n", + "[1] 0.2258247\n", + "\n", + "$MSE_list[[18]][[83]]\n", + "[1] 0.3601888\n", + "\n", + "$MSE_list[[18]][[84]]\n", + "[1] 0.1739923\n", + "\n", + "$MSE_list[[18]][[85]]\n", + "[1] 0.2602815\n", + "\n", + "$MSE_list[[18]][[86]]\n", + "[1] 0.2422098\n", + "\n", + "$MSE_list[[18]][[87]]\n", + "[1] 0.3426459\n", + "\n", + "$MSE_list[[18]][[88]]\n", + "[1] 0.1455513\n", + "\n", + "$MSE_list[[18]][[89]]\n", + "[1] 0.2911349\n", + "\n", + "$MSE_list[[18]][[90]]\n", + "[1] 0.2292509\n", + "\n", + "$MSE_list[[18]][[91]]\n", + "[1] 0.2455701\n", + "\n", + "$MSE_list[[18]][[92]]\n", + "[1] 0.194074\n", + "\n", + "$MSE_list[[18]][[93]]\n", + "[1] 0.185937\n", + "\n", + "$MSE_list[[18]][[94]]\n", + "[1] 0.1406383\n", + "\n", + "$MSE_list[[18]][[95]]\n", + "[1] 0.1570273\n", + "\n", + "$MSE_list[[18]][[96]]\n", + "[1] 0.3094039\n", + "\n", + "$MSE_list[[18]][[97]]\n", + "[1] 0.1790368\n", + "\n", + "$MSE_list[[18]][[98]]\n", + "[1] 0.2884225\n", + "\n", + "$MSE_list[[18]][[99]]\n", + "[1] 0.2524963\n", + "\n", + "$MSE_list[[18]][[100]]\n", + "[1] 0.297831\n", + "\n", + "\n", + "$MSE_list[[19]]\n", + "$MSE_list[[19]][[1]]\n", + "[1] 0.2605131\n", + "\n", + "$MSE_list[[19]][[2]]\n", + "[1] 0.2218641\n", + "\n", + "$MSE_list[[19]][[3]]\n", + "[1] 0.2999061\n", + "\n", + "$MSE_list[[19]][[4]]\n", + "[1] 0.2366282\n", + "\n", + "$MSE_list[[19]][[5]]\n", + "[1] 0.1362519\n", + "\n", + "$MSE_list[[19]][[6]]\n", + "[1] 0.2726091\n", + "\n", + "$MSE_list[[19]][[7]]\n", + "[1] 0.2734349\n", + "\n", + "$MSE_list[[19]][[8]]\n", + "[1] 0.2447635\n", + "\n", + "$MSE_list[[19]][[9]]\n", + "[1] 0.3247131\n", + "\n", + "$MSE_list[[19]][[10]]\n", + "[1] 0.2932789\n", + "\n", + "$MSE_list[[19]][[11]]\n", + "[1] 0.2323496\n", + "\n", + "$MSE_list[[19]][[12]]\n", + "[1] 0.3906552\n", + "\n", + "$MSE_list[[19]][[13]]\n", + "[1] 0.2702643\n", + "\n", + "$MSE_list[[19]][[14]]\n", + "[1] 0.338138\n", + "\n", + "$MSE_list[[19]][[15]]\n", + "[1] 0.2983247\n", + "\n", + "$MSE_list[[19]][[16]]\n", + "[1] 0.3122191\n", + "\n", + "$MSE_list[[19]][[17]]\n", + "[1] 0.2995955\n", + "\n", + "$MSE_list[[19]][[18]]\n", + "[1] 0.2547854\n", + "\n", + "$MSE_list[[19]][[19]]\n", + "[1] 0.1259699\n", + "\n", + "$MSE_list[[19]][[20]]\n", + "[1] 0.3382031\n", + "\n", + "$MSE_list[[19]][[21]]\n", + "[1] 0.2822206\n", + "\n", + "$MSE_list[[19]][[22]]\n", + "[1] 0.2684716\n", + "\n", + "$MSE_list[[19]][[23]]\n", + "[1] 0.1995701\n", + "\n", + "$MSE_list[[19]][[24]]\n", + "[1] 0.1969899\n", + "\n", + "$MSE_list[[19]][[25]]\n", + "[1] 0.3664977\n", + "\n", + "$MSE_list[[19]][[26]]\n", + "[1] 0.1657177\n", + "\n", + "$MSE_list[[19]][[27]]\n", + "[1] 0.2990299\n", + "\n", + "$MSE_list[[19]][[28]]\n", + "[1] 0.2138473\n", + "\n", + "$MSE_list[[19]][[29]]\n", + "[1] 0.2398726\n", + "\n", + "$MSE_list[[19]][[30]]\n", + "[1] 0.2489288\n", + "\n", + "$MSE_list[[19]][[31]]\n", + "[1] 0.3161591\n", + "\n", + "$MSE_list[[19]][[32]]\n", + "[1] 0.2477823\n", + "\n", + "$MSE_list[[19]][[33]]\n", + "[1] 0.2296641\n", + "\n", + "$MSE_list[[19]][[34]]\n", + "[1] 0.1406238\n", + "\n", + "$MSE_list[[19]][[35]]\n", + "[1] 0.2440353\n", + "\n", + "$MSE_list[[19]][[36]]\n", + "[1] 0.2919913\n", + "\n", + "$MSE_list[[19]][[37]]\n", + "[1] 0.1704291\n", + "\n", + "$MSE_list[[19]][[38]]\n", + "[1] 0.2514797\n", + "\n", + "$MSE_list[[19]][[39]]\n", + "[1] 0.1757996\n", + "\n", + "$MSE_list[[19]][[40]]\n", + "[1] 0.1691454\n", + "\n", + "$MSE_list[[19]][[41]]\n", + "[1] 0.3002569\n", + "\n", + "$MSE_list[[19]][[42]]\n", + "[1] 0.2609464\n", + "\n", + "$MSE_list[[19]][[43]]\n", + "[1] 0.2532787\n", + "\n", + "$MSE_list[[19]][[44]]\n", + "[1] 0.2308548\n", + "\n", + "$MSE_list[[19]][[45]]\n", + "[1] 0.1492596\n", + "\n", + "$MSE_list[[19]][[46]]\n", + "[1] 0.1727565\n", + "\n", + "$MSE_list[[19]][[47]]\n", + "[1] 0.3252242\n", + "\n", + "$MSE_list[[19]][[48]]\n", + "[1] 0.2178991\n", + "\n", + "$MSE_list[[19]][[49]]\n", + "[1] 0.3547932\n", + "\n", + "$MSE_list[[19]][[50]]\n", + "[1] 0.2615602\n", + "\n", + "$MSE_list[[19]][[51]]\n", + "[1] 0.1292755\n", + "\n", + "$MSE_list[[19]][[52]]\n", + "[1] 0.2912833\n", + "\n", + "$MSE_list[[19]][[53]]\n", + "[1] 0.2598622\n", + "\n", + "$MSE_list[[19]][[54]]\n", + "[1] 0.3427113\n", + "\n", + "$MSE_list[[19]][[55]]\n", + "[1] 0.2277591\n", + "\n", + "$MSE_list[[19]][[56]]\n", + "[1] 0.3232428\n", + "\n", + "$MSE_list[[19]][[57]]\n", + "[1] 0.2300459\n", + "\n", + "$MSE_list[[19]][[58]]\n", + "[1] 0.2569415\n", + "\n", + "$MSE_list[[19]][[59]]\n", + "[1] 0.1816671\n", + "\n", + "$MSE_list[[19]][[60]]\n", + "[1] 0.2584648\n", + "\n", + "$MSE_list[[19]][[61]]\n", + "[1] 0.1637583\n", + "\n", + "$MSE_list[[19]][[62]]\n", + "[1] 0.1543393\n", + "\n", + "$MSE_list[[19]][[63]]\n", + "[1] 0.1060829\n", + "\n", + "$MSE_list[[19]][[64]]\n", + "[1] 0.3034544\n", + "\n", + "$MSE_list[[19]][[65]]\n", + "[1] 0.1885425\n", + "\n", + "$MSE_list[[19]][[66]]\n", + "[1] 0.169043\n", + "\n", + "$MSE_list[[19]][[67]]\n", + "[1] 0.331726\n", + "\n", + "$MSE_list[[19]][[68]]\n", + "[1] 0.217458\n", + "\n", + "$MSE_list[[19]][[69]]\n", + "[1] 0.1712455\n", + "\n", + "$MSE_list[[19]][[70]]\n", + "[1] 0.2020982\n", + "\n", + "$MSE_list[[19]][[71]]\n", + "[1] 0.2018763\n", + "\n", + "$MSE_list[[19]][[72]]\n", + "[1] 0.218483\n", + "\n", + "$MSE_list[[19]][[73]]\n", + "[1] 0.2741992\n", + "\n", + "$MSE_list[[19]][[74]]\n", + "[1] 0.2883345\n", + "\n", + "$MSE_list[[19]][[75]]\n", + "[1] 0.1755449\n", + "\n", + "$MSE_list[[19]][[76]]\n", + "[1] 0.2501217\n", + "\n", + "$MSE_list[[19]][[77]]\n", + "[1] 0.1560589\n", + "\n", + "$MSE_list[[19]][[78]]\n", + "[1] 0.236062\n", + "\n", + "$MSE_list[[19]][[79]]\n", + "[1] 0.2918245\n", + "\n", + "$MSE_list[[19]][[80]]\n", + "[1] 0.2388315\n", + "\n", + "$MSE_list[[19]][[81]]\n", + "[1] 0.3460756\n", + "\n", + "$MSE_list[[19]][[82]]\n", + "[1] 0.2012962\n", + "\n", + "$MSE_list[[19]][[83]]\n", + "[1] 0.2296547\n", + "\n", + "$MSE_list[[19]][[84]]\n", + "[1] 0.1949558\n", + "\n", + "$MSE_list[[19]][[85]]\n", + "[1] 0.2180746\n", + "\n", + "$MSE_list[[19]][[86]]\n", + "[1] 0.2531624\n", + "\n", + "$MSE_list[[19]][[87]]\n", + "[1] 0.2175964\n", + "\n", + "$MSE_list[[19]][[88]]\n", + "[1] 0.2881383\n", + "\n", + "$MSE_list[[19]][[89]]\n", + "[1] 0.3999295\n", + "\n", + "$MSE_list[[19]][[90]]\n", + "[1] 0.362908\n", + "\n", + "$MSE_list[[19]][[91]]\n", + "[1] 0.2146664\n", + "\n", + "$MSE_list[[19]][[92]]\n", + "[1] 0.2203041\n", + "\n", + "$MSE_list[[19]][[93]]\n", + "[1] 0.1475628\n", + "\n", + "$MSE_list[[19]][[94]]\n", + "[1] 0.317317\n", + "\n", + "$MSE_list[[19]][[95]]\n", + "[1] 0.1501439\n", + "\n", + "$MSE_list[[19]][[96]]\n", + "[1] 0.1408108\n", + "\n", + "$MSE_list[[19]][[97]]\n", + "[1] 0.2795121\n", + "\n", + "$MSE_list[[19]][[98]]\n", + "[1] 0.2155276\n", + "\n", + "$MSE_list[[19]][[99]]\n", + "[1] 0.2704363\n", + "\n", + "$MSE_list[[19]][[100]]\n", + "[1] 0.2083642\n", + "\n", + "\n", + "$MSE_list[[20]]\n", + "$MSE_list[[20]][[1]]\n", + "[1] 0.4072129\n", + "\n", + "$MSE_list[[20]][[2]]\n", + "[1] 0.262599\n", + "\n", + "$MSE_list[[20]][[3]]\n", + "[1] 0.26534\n", + "\n", + "$MSE_list[[20]][[4]]\n", + "[1] 0.1874072\n", + "\n", + "$MSE_list[[20]][[5]]\n", + "[1] 0.3808885\n", + "\n", + "$MSE_list[[20]][[6]]\n", + "[1] 0.295636\n", + "\n", + "$MSE_list[[20]][[7]]\n", + "[1] 0.2141206\n", + "\n", + "$MSE_list[[20]][[8]]\n", + "[1] 0.3725426\n", + "\n", + "$MSE_list[[20]][[9]]\n", + "[1] 0.2470858\n", + "\n", + "$MSE_list[[20]][[10]]\n", + "[1] 0.1813978\n", + "\n", + "$MSE_list[[20]][[11]]\n", + "[1] 0.2405899\n", + "\n", + "$MSE_list[[20]][[12]]\n", + "[1] 0.3034777\n", + "\n", + "$MSE_list[[20]][[13]]\n", + "[1] 0.1990121\n", + "\n", + "$MSE_list[[20]][[14]]\n", + "[1] 0.2325559\n", + "\n", + "$MSE_list[[20]][[15]]\n", + "[1] 0.3301846\n", + "\n", + "$MSE_list[[20]][[16]]\n", + "[1] 0.3469697\n", + "\n", + "$MSE_list[[20]][[17]]\n", + "[1] 0.4049443\n", + "\n", + "$MSE_list[[20]][[18]]\n", + "[1] 0.2771048\n", + "\n", + "$MSE_list[[20]][[19]]\n", + "[1] 0.3079146\n", + "\n", + "$MSE_list[[20]][[20]]\n", + "[1] 0.1876311\n", + "\n", + "$MSE_list[[20]][[21]]\n", + "[1] 0.2907464\n", + "\n", + "$MSE_list[[20]][[22]]\n", + "[1] 0.3578038\n", + "\n", + "$MSE_list[[20]][[23]]\n", + "[1] 0.1245897\n", + "\n", + "$MSE_list[[20]][[24]]\n", + "[1] 0.4412878\n", + "\n", + "$MSE_list[[20]][[25]]\n", + "[1] 0.3976912\n", + "\n", + "$MSE_list[[20]][[26]]\n", + "[1] 0.2189857\n", + "\n", + "$MSE_list[[20]][[27]]\n", + "[1] 0.2368165\n", + "\n", + "$MSE_list[[20]][[28]]\n", + "[1] 0.4091439\n", + "\n", + "$MSE_list[[20]][[29]]\n", + "[1] 0.3696539\n", + "\n", + "$MSE_list[[20]][[30]]\n", + "[1] 0.2653099\n", + "\n", + "$MSE_list[[20]][[31]]\n", + "[1] 0.1308962\n", + "\n", + "$MSE_list[[20]][[32]]\n", + "[1] 0.3508063\n", + "\n", + "$MSE_list[[20]][[33]]\n", + "[1] 0.3782902\n", + "\n", + "$MSE_list[[20]][[34]]\n", + "[1] 0.25636\n", + "\n", + "$MSE_list[[20]][[35]]\n", + "[1] 0.4229424\n", + "\n", + "$MSE_list[[20]][[36]]\n", + "[1] 0.2513962\n", + "\n", + "$MSE_list[[20]][[37]]\n", + "[1] 0.2728557\n", + "\n", + "$MSE_list[[20]][[38]]\n", + "[1] 0.2968731\n", + "\n", + "$MSE_list[[20]][[39]]\n", + "[1] 0.3328578\n", + "\n", + "$MSE_list[[20]][[40]]\n", + "[1] 0.3134863\n", + "\n", + "$MSE_list[[20]][[41]]\n", + "[1] 0.2106419\n", + "\n", + "$MSE_list[[20]][[42]]\n", + "[1] 0.2612335\n", + "\n", + "$MSE_list[[20]][[43]]\n", + "[1] 0.1534013\n", + "\n", + "$MSE_list[[20]][[44]]\n", + "[1] 0.2729375\n", + "\n", + "$MSE_list[[20]][[45]]\n", + "[1] 0.2629629\n", + "\n", + "$MSE_list[[20]][[46]]\n", + "[1] 0.2731877\n", + "\n", + "$MSE_list[[20]][[47]]\n", + "[1] 0.1962803\n", + "\n", + "$MSE_list[[20]][[48]]\n", + "[1] 0.1911399\n", + "\n", + "$MSE_list[[20]][[49]]\n", + "[1] 0.1518496\n", + "\n", + "$MSE_list[[20]][[50]]\n", + "[1] 0.2844715\n", + "\n", + "$MSE_list[[20]][[51]]\n", + "[1] 0.3267413\n", + "\n", + "$MSE_list[[20]][[52]]\n", + "[1] 0.2999747\n", + "\n", + "$MSE_list[[20]][[53]]\n", + "[1] 0.3655177\n", + "\n", + "$MSE_list[[20]][[54]]\n", + "[1] 0.3123643\n", + "\n", + "$MSE_list[[20]][[55]]\n", + "[1] 0.3562061\n", + "\n", + "$MSE_list[[20]][[56]]\n", + "[1] 0.218679\n", + "\n", + "$MSE_list[[20]][[57]]\n", + "[1] 0.2947498\n", + "\n", + "$MSE_list[[20]][[58]]\n", + "[1] 0.1987963\n", + "\n", + "$MSE_list[[20]][[59]]\n", + "[1] 0.2157167\n", + "\n", + "$MSE_list[[20]][[60]]\n", + "[1] 0.3013895\n", + "\n", + "$MSE_list[[20]][[61]]\n", + "[1] 0.3156614\n", + "\n", + "$MSE_list[[20]][[62]]\n", + "[1] 0.2823061\n", + "\n", + "$MSE_list[[20]][[63]]\n", + "[1] 0.3133891\n", + "\n", + "$MSE_list[[20]][[64]]\n", + "[1] 0.2543567\n", + "\n", + "$MSE_list[[20]][[65]]\n", + "[1] 0.2395738\n", + "\n", + "$MSE_list[[20]][[66]]\n", + "[1] 0.2711712\n", + "\n", + "$MSE_list[[20]][[67]]\n", + "[1] 0.4050631\n", + "\n", + "$MSE_list[[20]][[68]]\n", + "[1] 0.4455031\n", + "\n", + "$MSE_list[[20]][[69]]\n", + "[1] 0.2913786\n", + "\n", + "$MSE_list[[20]][[70]]\n", + "[1] 0.441281\n", + "\n", + "$MSE_list[[20]][[71]]\n", + "[1] 0.3186818\n", + "\n", + "$MSE_list[[20]][[72]]\n", + "[1] 0.1704751\n", + "\n", + "$MSE_list[[20]][[73]]\n", + "[1] 0.1888027\n", + "\n", + "$MSE_list[[20]][[74]]\n", + "[1] 0.2700077\n", + "\n", + "$MSE_list[[20]][[75]]\n", + "[1] 0.3176888\n", + "\n", + "$MSE_list[[20]][[76]]\n", + "[1] 0.4833436\n", + "\n", + "$MSE_list[[20]][[77]]\n", + "[1] 0.2297912\n", + "\n", + "$MSE_list[[20]][[78]]\n", + "[1] 0.3195621\n", + "\n", + "$MSE_list[[20]][[79]]\n", + "[1] 0.3539829\n", + "\n", + "$MSE_list[[20]][[80]]\n", + "[1] 0.3266491\n", + "\n", + "$MSE_list[[20]][[81]]\n", + "[1] 0.3702451\n", + "\n", + "$MSE_list[[20]][[82]]\n", + "[1] 0.3781044\n", + "\n", + "$MSE_list[[20]][[83]]\n", + "[1] 0.2708816\n", + "\n", + "$MSE_list[[20]][[84]]\n", + "[1] 0.1894252\n", + "\n", + "$MSE_list[[20]][[85]]\n", + "[1] 0.27783\n", + "\n", + "$MSE_list[[20]][[86]]\n", + "[1] 0.3168784\n", + "\n", + "$MSE_list[[20]][[87]]\n", + "[1] 0.2440343\n", + "\n", + "$MSE_list[[20]][[88]]\n", + "[1] 0.2873223\n", + "\n", + "$MSE_list[[20]][[89]]\n", + "[1] 0.2449478\n", + "\n", + "$MSE_list[[20]][[90]]\n", + "[1] 0.2750718\n", + "\n", + "$MSE_list[[20]][[91]]\n", + "[1] 0.2620321\n", + "\n", + "$MSE_list[[20]][[92]]\n", + "[1] 0.333487\n", + "\n", + "$MSE_list[[20]][[93]]\n", + "[1] 0.283953\n", + "\n", + "$MSE_list[[20]][[94]]\n", + "[1] 0.2963228\n", + "\n", + "$MSE_list[[20]][[95]]\n", + "[1] 0.2518007\n", + "\n", + "$MSE_list[[20]][[96]]\n", + "[1] 0.2403143\n", + "\n", + "$MSE_list[[20]][[97]]\n", + "[1] 0.3908904\n", + "\n", + "$MSE_list[[20]][[98]]\n", + "[1] 0.3294016\n", + "\n", + "$MSE_list[[20]][[99]]\n", + "[1] 0.3122668\n", + "\n", + "$MSE_list[[20]][[100]]\n", + "[1] 0.3032524\n", + "\n", + "\n", + "$MSE_list[[21]]\n", + "$MSE_list[[21]][[1]]\n", + "[1] 0.261753\n", + "\n", + "$MSE_list[[21]][[2]]\n", + "[1] 0.1944325\n", + "\n", + "$MSE_list[[21]][[3]]\n", + "[1] 0.3906825\n", + "\n", + "$MSE_list[[21]][[4]]\n", + "[1] 0.3062619\n", + "\n", + "$MSE_list[[21]][[5]]\n", + "[1] 0.3290117\n", + "\n", + "$MSE_list[[21]][[6]]\n", + "[1] 0.2881314\n", + "\n", + "$MSE_list[[21]][[7]]\n", + "[1] 0.2794321\n", + "\n", + "$MSE_list[[21]][[8]]\n", + "[1] 0.2342776\n", + "\n", + "$MSE_list[[21]][[9]]\n", + "[1] 0.1949966\n", + "\n", + "$MSE_list[[21]][[10]]\n", + "[1] 0.3993397\n", + "\n", + "$MSE_list[[21]][[11]]\n", + "[1] 0.2173632\n", + "\n", + "$MSE_list[[21]][[12]]\n", + "[1] 0.2382937\n", + "\n", + "$MSE_list[[21]][[13]]\n", + "[1] 0.2768777\n", + "\n", + "$MSE_list[[21]][[14]]\n", + "[1] 0.4132216\n", + "\n", + "$MSE_list[[21]][[15]]\n", + "[1] 0.2484053\n", + "\n", + "$MSE_list[[21]][[16]]\n", + "[1] 0.2101677\n", + "\n", + "$MSE_list[[21]][[17]]\n", + "[1] 0.4435262\n", + "\n", + "$MSE_list[[21]][[18]]\n", + "[1] 0.2982113\n", + "\n", + "$MSE_list[[21]][[19]]\n", + "[1] 0.3141464\n", + "\n", + "$MSE_list[[21]][[20]]\n", + "[1] 0.3866886\n", + "\n", + "$MSE_list[[21]][[21]]\n", + "[1] 0.123739\n", + "\n", + "$MSE_list[[21]][[22]]\n", + "[1] 0.2747165\n", + "\n", + "$MSE_list[[21]][[23]]\n", + "[1] 0.2715791\n", + "\n", + "$MSE_list[[21]][[24]]\n", + "[1] 0.2979128\n", + "\n", + "$MSE_list[[21]][[25]]\n", + "[1] 0.2576239\n", + "\n", + "$MSE_list[[21]][[26]]\n", + "[1] 0.2305859\n", + "\n", + "$MSE_list[[21]][[27]]\n", + "[1] 0.3422847\n", + "\n", + "$MSE_list[[21]][[28]]\n", + "[1] 0.2524196\n", + "\n", + "$MSE_list[[21]][[29]]\n", + "[1] 0.37441\n", + "\n", + "$MSE_list[[21]][[30]]\n", + "[1] 0.357088\n", + "\n", + "$MSE_list[[21]][[31]]\n", + "[1] 0.2591011\n", + "\n", + "$MSE_list[[21]][[32]]\n", + "[1] 0.4130481\n", + "\n", + "$MSE_list[[21]][[33]]\n", + "[1] 0.3800509\n", + "\n", + "$MSE_list[[21]][[34]]\n", + "[1] 0.2526128\n", + "\n", + "$MSE_list[[21]][[35]]\n", + "[1] 0.3234226\n", + "\n", + "$MSE_list[[21]][[36]]\n", + "[1] 0.3192122\n", + "\n", + "$MSE_list[[21]][[37]]\n", + "[1] 0.3405424\n", + "\n", + "$MSE_list[[21]][[38]]\n", + "[1] 0.152796\n", + "\n", + "$MSE_list[[21]][[39]]\n", + "[1] 0.1944984\n", + "\n", + "$MSE_list[[21]][[40]]\n", + "[1] 0.1810932\n", + "\n", + "$MSE_list[[21]][[41]]\n", + "[1] 0.3038869\n", + "\n", + "$MSE_list[[21]][[42]]\n", + "[1] 0.2449975\n", + "\n", + "$MSE_list[[21]][[43]]\n", + "[1] 0.08674298\n", + "\n", + "$MSE_list[[21]][[44]]\n", + "[1] 0.3702883\n", + "\n", + "$MSE_list[[21]][[45]]\n", + "[1] 0.409976\n", + "\n", + "$MSE_list[[21]][[46]]\n", + "[1] 0.2315729\n", + "\n", + "$MSE_list[[21]][[47]]\n", + "[1] 0.2001591\n", + "\n", + "$MSE_list[[21]][[48]]\n", + "[1] 0.2963902\n", + "\n", + "$MSE_list[[21]][[49]]\n", + "[1] 0.4288154\n", + "\n", + "$MSE_list[[21]][[50]]\n", + "[1] 0.2793503\n", + "\n", + "$MSE_list[[21]][[51]]\n", + "[1] 0.2770773\n", + "\n", + "$MSE_list[[21]][[52]]\n", + "[1] 0.2738517\n", + "\n", + "$MSE_list[[21]][[53]]\n", + "[1] 0.1887421\n", + "\n", + "$MSE_list[[21]][[54]]\n", + "[1] 0.2426296\n", + "\n", + "$MSE_list[[21]][[55]]\n", + "[1] 0.3006308\n", + "\n", + "$MSE_list[[21]][[56]]\n", + "[1] 0.2894534\n", + "\n", + "$MSE_list[[21]][[57]]\n", + "[1] 0.2776486\n", + "\n", + "$MSE_list[[21]][[58]]\n", + "[1] 0.2842473\n", + "\n", + "$MSE_list[[21]][[59]]\n", + "[1] 0.1396994\n", + "\n", + "$MSE_list[[21]][[60]]\n", + "[1] 0.3266118\n", + "\n", + "$MSE_list[[21]][[61]]\n", + "[1] 0.1489873\n", + "\n", + "$MSE_list[[21]][[62]]\n", + "[1] 0.1877437\n", + "\n", + "$MSE_list[[21]][[63]]\n", + "[1] 0.1610764\n", + "\n", + "$MSE_list[[21]][[64]]\n", + "[1] 0.2932307\n", + "\n", + "$MSE_list[[21]][[65]]\n", + "[1] 0.2334052\n", + "\n", + "$MSE_list[[21]][[66]]\n", + "[1] 0.2331776\n", + "\n", + "$MSE_list[[21]][[67]]\n", + "[1] 0.3497736\n", + "\n", + "$MSE_list[[21]][[68]]\n", + "[1] 0.2577815\n", + "\n", + "$MSE_list[[21]][[69]]\n", + "[1] 0.3585076\n", + "\n", + "$MSE_list[[21]][[70]]\n", + "[1] 0.419807\n", + "\n", + "$MSE_list[[21]][[71]]\n", + "[1] 0.364467\n", + "\n", + "$MSE_list[[21]][[72]]\n", + "[1] 0.2475049\n", + "\n", + "$MSE_list[[21]][[73]]\n", + "[1] 0.4471279\n", + "\n", + "$MSE_list[[21]][[74]]\n", + "[1] 0.2889093\n", + "\n", + "$MSE_list[[21]][[75]]\n", + "[1] 0.3077229\n", + "\n", + "$MSE_list[[21]][[76]]\n", + "[1] 0.2075225\n", + "\n", + "$MSE_list[[21]][[77]]\n", + "[1] 0.3309096\n", + "\n", + "$MSE_list[[21]][[78]]\n", + "[1] 0.2399549\n", + "\n", + "$MSE_list[[21]][[79]]\n", + "[1] 0.2077132\n", + "\n", + "$MSE_list[[21]][[80]]\n", + "[1] 0.3440987\n", + "\n", + "$MSE_list[[21]][[81]]\n", + "[1] 0.2607452\n", + "\n", + "$MSE_list[[21]][[82]]\n", + "[1] 0.4023476\n", + "\n", + "$MSE_list[[21]][[83]]\n", + "[1] 0.3280001\n", + "\n", + "$MSE_list[[21]][[84]]\n", + "[1] 0.3180007\n", + "\n", + "$MSE_list[[21]][[85]]\n", + "[1] 0.2195116\n", + "\n", + "$MSE_list[[21]][[86]]\n", + "[1] 0.2598398\n", + "\n", + "$MSE_list[[21]][[87]]\n", + "[1] 0.2936413\n", + "\n", + "$MSE_list[[21]][[88]]\n", + "[1] 0.2788663\n", + "\n", + "$MSE_list[[21]][[89]]\n", + "[1] 0.3288997\n", + "\n", + "$MSE_list[[21]][[90]]\n", + "[1] 0.3429186\n", + "\n", + "$MSE_list[[21]][[91]]\n", + "[1] 0.297289\n", + "\n", + "$MSE_list[[21]][[92]]\n", + "[1] 0.2120266\n", + "\n", + "$MSE_list[[21]][[93]]\n", + "[1] 0.2219452\n", + "\n", + "$MSE_list[[21]][[94]]\n", + "[1] 0.219391\n", + "\n", + "$MSE_list[[21]][[95]]\n", + "[1] 0.2129813\n", + "\n", + "$MSE_list[[21]][[96]]\n", + "[1] 0.1194465\n", + "\n", + "$MSE_list[[21]][[97]]\n", + "[1] 0.2844307\n", + "\n", + "$MSE_list[[21]][[98]]\n", + "[1] 0.3884144\n", + "\n", + "$MSE_list[[21]][[99]]\n", + "[1] 0.4400711\n", + "\n", + "$MSE_list[[21]][[100]]\n", + "[1] 0.2986753\n", + "\n", + "\n", + "$MSE_list[[22]]\n", + "$MSE_list[[22]][[1]]\n", + "[1] 0.2459363\n", + "\n", + "$MSE_list[[22]][[2]]\n", + "[1] 0.2500645\n", + "\n", + "$MSE_list[[22]][[3]]\n", + "[1] 0.1275878\n", + "\n", + "$MSE_list[[22]][[4]]\n", + "[1] 0.1094001\n", + "\n", + "$MSE_list[[22]][[5]]\n", + "[1] 0.1259271\n", + "\n", + "$MSE_list[[22]][[6]]\n", + "[1] 0.3587031\n", + "\n", + "$MSE_list[[22]][[7]]\n", + "[1] 0.3516437\n", + "\n", + "$MSE_list[[22]][[8]]\n", + "[1] 0.3238876\n", + "\n", + "$MSE_list[[22]][[9]]\n", + "[1] 0.25836\n", + "\n", + "$MSE_list[[22]][[10]]\n", + "[1] 0.1775929\n", + "\n", + "$MSE_list[[22]][[11]]\n", + "[1] 0.2912193\n", + "\n", + "$MSE_list[[22]][[12]]\n", + "[1] 0.2114337\n", + "\n", + "$MSE_list[[22]][[13]]\n", + "[1] 0.1800998\n", + "\n", + "$MSE_list[[22]][[14]]\n", + "[1] 0.2990053\n", + "\n", + "$MSE_list[[22]][[15]]\n", + "[1] 0.1996102\n", + "\n", + "$MSE_list[[22]][[16]]\n", + "[1] 0.2877466\n", + "\n", + "$MSE_list[[22]][[17]]\n", + "[1] 0.2700438\n", + "\n", + "$MSE_list[[22]][[18]]\n", + "[1] 0.2653178\n", + "\n", + "$MSE_list[[22]][[19]]\n", + "[1] 0.1670262\n", + "\n", + "$MSE_list[[22]][[20]]\n", + "[1] 0.1822948\n", + "\n", + "$MSE_list[[22]][[21]]\n", + "[1] 0.1110629\n", + "\n", + "$MSE_list[[22]][[22]]\n", + "[1] 0.2370353\n", + "\n", + "$MSE_list[[22]][[23]]\n", + "[1] 0.3832633\n", + "\n", + "$MSE_list[[22]][[24]]\n", + "[1] 0.1609697\n", + "\n", + "$MSE_list[[22]][[25]]\n", + "[1] 0.2177698\n", + "\n", + "$MSE_list[[22]][[26]]\n", + "[1] 0.2616345\n", + "\n", + "$MSE_list[[22]][[27]]\n", + "[1] 0.2880916\n", + "\n", + "$MSE_list[[22]][[28]]\n", + "[1] 0.4074532\n", + "\n", + "$MSE_list[[22]][[29]]\n", + "[1] 0.3904866\n", + "\n", + "$MSE_list[[22]][[30]]\n", + "[1] 0.2491641\n", + "\n", + "$MSE_list[[22]][[31]]\n", + "[1] 0.1260282\n", + "\n", + "$MSE_list[[22]][[32]]\n", + "[1] 0.3631602\n", + "\n", + "$MSE_list[[22]][[33]]\n", + "[1] 0.2180595\n", + "\n", + "$MSE_list[[22]][[34]]\n", + "[1] 0.2740542\n", + "\n", + "$MSE_list[[22]][[35]]\n", + "[1] 0.2475219\n", + "\n", + "$MSE_list[[22]][[36]]\n", + "[1] 0.2087072\n", + "\n", + "$MSE_list[[22]][[37]]\n", + "[1] 0.1207408\n", + "\n", + "$MSE_list[[22]][[38]]\n", + "[1] 0.1295192\n", + "\n", + "$MSE_list[[22]][[39]]\n", + "[1] 0.4283515\n", + "\n", + "$MSE_list[[22]][[40]]\n", + "[1] 0.4424273\n", + "\n", + "$MSE_list[[22]][[41]]\n", + "[1] 0.2018567\n", + "\n", + "$MSE_list[[22]][[42]]\n", + "[1] 0.24104\n", + "\n", + "$MSE_list[[22]][[43]]\n", + "[1] 0.3009171\n", + "\n", + "$MSE_list[[22]][[44]]\n", + "[1] 0.2955781\n", + "\n", + "$MSE_list[[22]][[45]]\n", + "[1] 0.2036643\n", + "\n", + "$MSE_list[[22]][[46]]\n", + "[1] 0.2189561\n", + "\n", + "$MSE_list[[22]][[47]]\n", + "[1] 0.2179049\n", + "\n", + "$MSE_list[[22]][[48]]\n", + "[1] 0.161175\n", + "\n", + "$MSE_list[[22]][[49]]\n", + "[1] 0.1406327\n", + "\n", + "$MSE_list[[22]][[50]]\n", + "[1] 0.1263404\n", + "\n", + "$MSE_list[[22]][[51]]\n", + "[1] 0.09195332\n", + "\n", + "$MSE_list[[22]][[52]]\n", + "[1] 0.2857228\n", + "\n", + "$MSE_list[[22]][[53]]\n", + "[1] 0.2154658\n", + "\n", + "$MSE_list[[22]][[54]]\n", + "[1] 0.1622109\n", + "\n", + "$MSE_list[[22]][[55]]\n", + "[1] 0.3168602\n", + "\n", + "$MSE_list[[22]][[56]]\n", + "[1] 0.2283189\n", + "\n", + "$MSE_list[[22]][[57]]\n", + "[1] 0.3143892\n", + "\n", + "$MSE_list[[22]][[58]]\n", + "[1] 0.1707735\n", + "\n", + "$MSE_list[[22]][[59]]\n", + "[1] 0.3820169\n", + "\n", + "$MSE_list[[22]][[60]]\n", + "[1] 0.2398759\n", + "\n", + "$MSE_list[[22]][[61]]\n", + "[1] 0.2246174\n", + "\n", + "$MSE_list[[22]][[62]]\n", + "[1] 0.2298985\n", + "\n", + "$MSE_list[[22]][[63]]\n", + "[1] 0.265529\n", + "\n", + "$MSE_list[[22]][[64]]\n", + "[1] 0.2327277\n", + "\n", + "$MSE_list[[22]][[65]]\n", + "[1] 0.2194572\n", + "\n", + "$MSE_list[[22]][[66]]\n", + "[1] 0.3088099\n", + "\n", + "$MSE_list[[22]][[67]]\n", + "[1] 0.2997196\n", + "\n", + "$MSE_list[[22]][[68]]\n", + "[1] 0.2434144\n", + "\n", + "$MSE_list[[22]][[69]]\n", + "[1] 0.2949473\n", + "\n", + "$MSE_list[[22]][[70]]\n", + "[1] 0.2622573\n", + "\n", + "$MSE_list[[22]][[71]]\n", + "[1] 0.3642919\n", + "\n", + "$MSE_list[[22]][[72]]\n", + "[1] 0.3176551\n", + "\n", + "$MSE_list[[22]][[73]]\n", + "[1] 0.1807645\n", + "\n", + "$MSE_list[[22]][[74]]\n", + "[1] 0.2084842\n", + "\n", + "$MSE_list[[22]][[75]]\n", + "[1] 0.2859953\n", + "\n", + "$MSE_list[[22]][[76]]\n", + "[1] 0.1315288\n", + "\n", + "$MSE_list[[22]][[77]]\n", + "[1] 0.2622894\n", + "\n", + "$MSE_list[[22]][[78]]\n", + "[1] 0.08022692\n", + "\n", + "$MSE_list[[22]][[79]]\n", + "[1] 0.2992612\n", + "\n", + "$MSE_list[[22]][[80]]\n", + "[1] 0.279554\n", + "\n", + "$MSE_list[[22]][[81]]\n", + "[1] 0.3710592\n", + "\n", + "$MSE_list[[22]][[82]]\n", + "[1] 0.3093888\n", + "\n", + "$MSE_list[[22]][[83]]\n", + "[1] 0.1662865\n", + "\n", + "$MSE_list[[22]][[84]]\n", + "[1] 0.09324953\n", + "\n", + "$MSE_list[[22]][[85]]\n", + "[1] 0.248249\n", + "\n", + "$MSE_list[[22]][[86]]\n", + "[1] 0.1425471\n", + "\n", + "$MSE_list[[22]][[87]]\n", + "[1] 0.2051568\n", + "\n", + "$MSE_list[[22]][[88]]\n", + "[1] 0.1795862\n", + "\n", + "$MSE_list[[22]][[89]]\n", + "[1] 0.07730125\n", + "\n", + "$MSE_list[[22]][[90]]\n", + "[1] 0.2873371\n", + "\n", + "$MSE_list[[22]][[91]]\n", + "[1] 0.2697891\n", + "\n", + "$MSE_list[[22]][[92]]\n", + "[1] 0.2466667\n", + "\n", + "$MSE_list[[22]][[93]]\n", + "[1] 0.2852661\n", + "\n", + "$MSE_list[[22]][[94]]\n", + "[1] 0.1845588\n", + "\n", + "$MSE_list[[22]][[95]]\n", + "[1] 0.09646428\n", + "\n", + "$MSE_list[[22]][[96]]\n", + "[1] 0.2320939\n", + "\n", + "$MSE_list[[22]][[97]]\n", + "[1] 0.174895\n", + "\n", + "$MSE_list[[22]][[98]]\n", + "[1] 0.2154623\n", + "\n", + "$MSE_list[[22]][[99]]\n", + "[1] 0.1171047\n", + "\n", + "$MSE_list[[22]][[100]]\n", + "[1] 0.3047722\n", + "\n", + "\n", + "$MSE_list[[23]]\n", + "$MSE_list[[23]][[1]]\n", + "[1] 0.2879886\n", + "\n", + "$MSE_list[[23]][[2]]\n", + "[1] 0.1821105\n", + "\n", + "$MSE_list[[23]][[3]]\n", + "[1] 0.1860124\n", + "\n", + "$MSE_list[[23]][[4]]\n", + "[1] 0.3293832\n", + "\n", + "$MSE_list[[23]][[5]]\n", + "[1] 0.2429795\n", + "\n", + "$MSE_list[[23]][[6]]\n", + "[1] 0.3279457\n", + "\n", + "$MSE_list[[23]][[7]]\n", + "[1] 0.156504\n", + "\n", + "$MSE_list[[23]][[8]]\n", + "[1] 0.1194689\n", + "\n", + "$MSE_list[[23]][[9]]\n", + "[1] 0.1670678\n", + "\n", + "$MSE_list[[23]][[10]]\n", + "[1] 0.2195065\n", + "\n", + "$MSE_list[[23]][[11]]\n", + "[1] 0.3938391\n", + "\n", + "$MSE_list[[23]][[12]]\n", + "[1] 0.1553628\n", + "\n", + "$MSE_list[[23]][[13]]\n", + "[1] 0.3482394\n", + "\n", + "$MSE_list[[23]][[14]]\n", + "[1] 0.208451\n", + "\n", + "$MSE_list[[23]][[15]]\n", + "[1] 0.1777709\n", + "\n", + "$MSE_list[[23]][[16]]\n", + "[1] 0.2617462\n", + "\n", + "$MSE_list[[23]][[17]]\n", + "[1] 0.2544773\n", + "\n", + "$MSE_list[[23]][[18]]\n", + "[1] 0.2225687\n", + "\n", + "$MSE_list[[23]][[19]]\n", + "[1] 0.1451534\n", + "\n", + "$MSE_list[[23]][[20]]\n", + "[1] 0.1783958\n", + "\n", + "$MSE_list[[23]][[21]]\n", + "[1] 0.10912\n", + "\n", + "$MSE_list[[23]][[22]]\n", + "[1] 0.2333323\n", + "\n", + "$MSE_list[[23]][[23]]\n", + "[1] 0.1689662\n", + "\n", + "$MSE_list[[23]][[24]]\n", + "[1] 0.3234959\n", + "\n", + "$MSE_list[[23]][[25]]\n", + "[1] 0.2161443\n", + "\n", + "$MSE_list[[23]][[26]]\n", + "[1] 0.1082842\n", + "\n", + "$MSE_list[[23]][[27]]\n", + "[1] 0.1637624\n", + "\n", + "$MSE_list[[23]][[28]]\n", + "[1] 0.1981929\n", + "\n", + "$MSE_list[[23]][[29]]\n", + "[1] 0.2282465\n", + "\n", + "$MSE_list[[23]][[30]]\n", + "[1] 0.2382278\n", + "\n", + "$MSE_list[[23]][[31]]\n", + "[1] 0.2020157\n", + "\n", + "$MSE_list[[23]][[32]]\n", + "[1] 0.2008817\n", + "\n", + "$MSE_list[[23]][[33]]\n", + "[1] 0.2081174\n", + "\n", + "$MSE_list[[23]][[34]]\n", + "[1] 0.3240884\n", + "\n", + "$MSE_list[[23]][[35]]\n", + "[1] 0.2708572\n", + "\n", + "$MSE_list[[23]][[36]]\n", + "[1] 0.2891432\n", + "\n", + "$MSE_list[[23]][[37]]\n", + "[1] 0.2224759\n", + "\n", + "$MSE_list[[23]][[38]]\n", + "[1] 0.1382581\n", + "\n", + "$MSE_list[[23]][[39]]\n", + "[1] 0.2555012\n", + "\n", + "$MSE_list[[23]][[40]]\n", + "[1] 0.2054589\n", + "\n", + "$MSE_list[[23]][[41]]\n", + "[1] 0.2668305\n", + "\n", + "$MSE_list[[23]][[42]]\n", + "[1] 0.2585262\n", + "\n", + "$MSE_list[[23]][[43]]\n", + "[1] 0.1987699\n", + "\n", + "$MSE_list[[23]][[44]]\n", + "[1] 0.2243691\n", + "\n", + "$MSE_list[[23]][[45]]\n", + "[1] 0.1892034\n", + "\n", + "$MSE_list[[23]][[46]]\n", + "[1] 0.177759\n", + "\n", + "$MSE_list[[23]][[47]]\n", + "[1] 0.2289404\n", + "\n", + "$MSE_list[[23]][[48]]\n", + "[1] 0.1877624\n", + "\n", + "$MSE_list[[23]][[49]]\n", + "[1] 0.171536\n", + "\n", + "$MSE_list[[23]][[50]]\n", + "[1] 0.2909095\n", + "\n", + "$MSE_list[[23]][[51]]\n", + "[1] 0.1246344\n", + "\n", + "$MSE_list[[23]][[52]]\n", + "[1] 0.1464632\n", + "\n", + "$MSE_list[[23]][[53]]\n", + "[1] 0.1776893\n", + "\n", + "$MSE_list[[23]][[54]]\n", + "[1] 0.2098316\n", + "\n", + "$MSE_list[[23]][[55]]\n", + "[1] 0.315852\n", + "\n", + "$MSE_list[[23]][[56]]\n", + "[1] 0.3497595\n", + "\n", + "$MSE_list[[23]][[57]]\n", + "[1] 0.2839304\n", + "\n", + "$MSE_list[[23]][[58]]\n", + "[1] 0.2232501\n", + "\n", + "$MSE_list[[23]][[59]]\n", + "[1] 0.3033255\n", + "\n", + "$MSE_list[[23]][[60]]\n", + "[1] 0.1851635\n", + "\n", + "$MSE_list[[23]][[61]]\n", + "[1] 0.1677065\n", + "\n", + "$MSE_list[[23]][[62]]\n", + "[1] 0.1336348\n", + "\n", + "$MSE_list[[23]][[63]]\n", + "[1] 0.3957363\n", + "\n", + "$MSE_list[[23]][[64]]\n", + "[1] 0.2668577\n", + "\n", + "$MSE_list[[23]][[65]]\n", + "[1] 0.1908365\n", + "\n", + "$MSE_list[[23]][[66]]\n", + "[1] 0.301923\n", + "\n", + "$MSE_list[[23]][[67]]\n", + "[1] 0.2858345\n", + "\n", + "$MSE_list[[23]][[68]]\n", + "[1] 0.1585246\n", + "\n", + "$MSE_list[[23]][[69]]\n", + "[1] 0.1888862\n", + "\n", + "$MSE_list[[23]][[70]]\n", + "[1] 0.2081342\n", + "\n", + "$MSE_list[[23]][[71]]\n", + "[1] 0.08978506\n", + "\n", + "$MSE_list[[23]][[72]]\n", + "[1] 0.1349467\n", + "\n", + "$MSE_list[[23]][[73]]\n", + "[1] 0.1849545\n", + "\n", + "$MSE_list[[23]][[74]]\n", + "[1] 0.3750155\n", + "\n", + "$MSE_list[[23]][[75]]\n", + "[1] 0.3149934\n", + "\n", + "$MSE_list[[23]][[76]]\n", + "[1] 0.1809614\n", + "\n", + "$MSE_list[[23]][[77]]\n", + "[1] 0.2480689\n", + "\n", + "$MSE_list[[23]][[78]]\n", + "[1] 0.2059666\n", + "\n", + "$MSE_list[[23]][[79]]\n", + "[1] 0.3343546\n", + "\n", + "$MSE_list[[23]][[80]]\n", + "[1] 0.3385903\n", + "\n", + "$MSE_list[[23]][[81]]\n", + "[1] 0.3166854\n", + "\n", + "$MSE_list[[23]][[82]]\n", + "[1] 0.1532837\n", + "\n", + "$MSE_list[[23]][[83]]\n", + "[1] 0.1590682\n", + "\n", + "$MSE_list[[23]][[84]]\n", + "[1] 0.1737498\n", + "\n", + "$MSE_list[[23]][[85]]\n", + "[1] 0.3330314\n", + "\n", + "$MSE_list[[23]][[86]]\n", + "[1] 0.2688096\n", + "\n", + "$MSE_list[[23]][[87]]\n", + "[1] 0.3471645\n", + "\n", + "$MSE_list[[23]][[88]]\n", + "[1] 0.09453706\n", + "\n", + "$MSE_list[[23]][[89]]\n", + "[1] 0.1660441\n", + "\n", + "$MSE_list[[23]][[90]]\n", + "[1] 0.1421749\n", + "\n", + "$MSE_list[[23]][[91]]\n", + "[1] 0.2562585\n", + "\n", + "$MSE_list[[23]][[92]]\n", + "[1] 0.3425061\n", + "\n", + "$MSE_list[[23]][[93]]\n", + "[1] 0.1643642\n", + "\n", + "$MSE_list[[23]][[94]]\n", + "[1] 0.1984015\n", + "\n", + "$MSE_list[[23]][[95]]\n", + "[1] 0.1838448\n", + "\n", + "$MSE_list[[23]][[96]]\n", + "[1] 0.1763495\n", + "\n", + "$MSE_list[[23]][[97]]\n", + "[1] 0.2265548\n", + "\n", + "$MSE_list[[23]][[98]]\n", + "[1] 0.1834112\n", + "\n", + "$MSE_list[[23]][[99]]\n", + "[1] 0.3160826\n", + "\n", + "$MSE_list[[23]][[100]]\n", + "[1] 0.2273302\n", + "\n", + "\n", + "$MSE_list[[24]]\n", + "$MSE_list[[24]][[1]]\n", + "[1] 0.2461395\n", + "\n", + "$MSE_list[[24]][[2]]\n", + "[1] 0.31735\n", + "\n", + "$MSE_list[[24]][[3]]\n", + "[1] 0.3084437\n", + "\n", + "$MSE_list[[24]][[4]]\n", + "[1] 0.233964\n", + "\n", + "$MSE_list[[24]][[5]]\n", + "[1] 0.2946559\n", + "\n", + "$MSE_list[[24]][[6]]\n", + "[1] 0.1659553\n", + "\n", + "$MSE_list[[24]][[7]]\n", + "[1] 0.3147507\n", + "\n", + "$MSE_list[[24]][[8]]\n", + "[1] 0.174863\n", + "\n", + "$MSE_list[[24]][[9]]\n", + "[1] 0.1644924\n", + "\n", + "$MSE_list[[24]][[10]]\n", + "[1] 0.1251549\n", + "\n", + "$MSE_list[[24]][[11]]\n", + "[1] 0.1136123\n", + "\n", + "$MSE_list[[24]][[12]]\n", + "[1] 0.2521773\n", + "\n", + "$MSE_list[[24]][[13]]\n", + "[1] 0.09021759\n", + "\n", + "$MSE_list[[24]][[14]]\n", + "[1] 0.2017483\n", + "\n", + "$MSE_list[[24]][[15]]\n", + "[1] 0.2950589\n", + "\n", + "$MSE_list[[24]][[16]]\n", + "[1] 0.2789822\n", + "\n", + "$MSE_list[[24]][[17]]\n", + "[1] 0.3645347\n", + "\n", + "$MSE_list[[24]][[18]]\n", + "[1] 0.1565287\n", + "\n", + "$MSE_list[[24]][[19]]\n", + "[1] 0.1947418\n", + "\n", + "$MSE_list[[24]][[20]]\n", + "[1] 0.3489876\n", + "\n", + "$MSE_list[[24]][[21]]\n", + "[1] 0.1937369\n", + "\n", + "$MSE_list[[24]][[22]]\n", + "[1] 0.2692148\n", + "\n", + "$MSE_list[[24]][[23]]\n", + "[1] 0.4490827\n", + "\n", + "$MSE_list[[24]][[24]]\n", + "[1] 0.2251708\n", + "\n", + "$MSE_list[[24]][[25]]\n", + "[1] 0.1837817\n", + "\n", + "$MSE_list[[24]][[26]]\n", + "[1] 0.3739026\n", + "\n", + "$MSE_list[[24]][[27]]\n", + "[1] 0.3419004\n", + "\n", + "$MSE_list[[24]][[28]]\n", + "[1] 0.1897545\n", + "\n", + "$MSE_list[[24]][[29]]\n", + "[1] 0.4367528\n", + "\n", + "$MSE_list[[24]][[30]]\n", + "[1] 0.1468753\n", + "\n", + "$MSE_list[[24]][[31]]\n", + "[1] 0.3516575\n", + "\n", + "$MSE_list[[24]][[32]]\n", + "[1] 0.1837827\n", + "\n", + "$MSE_list[[24]][[33]]\n", + "[1] 0.3641373\n", + "\n", + "$MSE_list[[24]][[34]]\n", + "[1] 0.2510752\n", + "\n", + "$MSE_list[[24]][[35]]\n", + "[1] 0.3081082\n", + "\n", + "$MSE_list[[24]][[36]]\n", + "[1] 0.1709456\n", + "\n", + "$MSE_list[[24]][[37]]\n", + "[1] 0.2937994\n", + "\n", + "$MSE_list[[24]][[38]]\n", + "[1] 0.2216114\n", + "\n", + "$MSE_list[[24]][[39]]\n", + "[1] 0.4346968\n", + "\n", + "$MSE_list[[24]][[40]]\n", + "[1] 0.172635\n", + "\n", + "$MSE_list[[24]][[41]]\n", + "[1] 0.1782942\n", + "\n", + "$MSE_list[[24]][[42]]\n", + "[1] 0.1727058\n", + "\n", + "$MSE_list[[24]][[43]]\n", + "[1] 0.2494777\n", + "\n", + "$MSE_list[[24]][[44]]\n", + "[1] 0.1087347\n", + "\n", + "$MSE_list[[24]][[45]]\n", + "[1] 0.2040508\n", + "\n", + "$MSE_list[[24]][[46]]\n", + "[1] 0.3525094\n", + "\n", + "$MSE_list[[24]][[47]]\n", + "[1] 0.4100107\n", + "\n", + "$MSE_list[[24]][[48]]\n", + "[1] 0.2342092\n", + "\n", + "$MSE_list[[24]][[49]]\n", + "[1] 0.1685255\n", + "\n", + "$MSE_list[[24]][[50]]\n", + "[1] 0.2786475\n", + "\n", + "$MSE_list[[24]][[51]]\n", + "[1] 0.2227489\n", + "\n", + "$MSE_list[[24]][[52]]\n", + "[1] 0.3256266\n", + "\n", + "$MSE_list[[24]][[53]]\n", + "[1] 0.1754571\n", + "\n", + "$MSE_list[[24]][[54]]\n", + "[1] 0.2565795\n", + "\n", + "$MSE_list[[24]][[55]]\n", + "[1] 0.2618449\n", + "\n", + "$MSE_list[[24]][[56]]\n", + "[1] 0.1668938\n", + "\n", + "$MSE_list[[24]][[57]]\n", + "[1] 0.2687798\n", + "\n", + "$MSE_list[[24]][[58]]\n", + "[1] 0.1737742\n", + "\n", + "$MSE_list[[24]][[59]]\n", + "[1] 0.1588284\n", + "\n", + "$MSE_list[[24]][[60]]\n", + "[1] 0.1828622\n", + "\n", + "$MSE_list[[24]][[61]]\n", + "[1] 0.1228654\n", + "\n", + "$MSE_list[[24]][[62]]\n", + "[1] 0.1626646\n", + "\n", + "$MSE_list[[24]][[63]]\n", + "[1] 0.2251354\n", + "\n", + "$MSE_list[[24]][[64]]\n", + "[1] 0.3956965\n", + "\n", + "$MSE_list[[24]][[65]]\n", + "[1] 0.1898164\n", + "\n", + "$MSE_list[[24]][[66]]\n", + "[1] 0.3679204\n", + "\n", + "$MSE_list[[24]][[67]]\n", + "[1] 0.3853314\n", + "\n", + "$MSE_list[[24]][[68]]\n", + "[1] 0.2708128\n", + "\n", + "$MSE_list[[24]][[69]]\n", + "[1] 0.2897834\n", + "\n", + "$MSE_list[[24]][[70]]\n", + "[1] 0.2598085\n", + "\n", + "$MSE_list[[24]][[71]]\n", + "[1] 0.2297732\n", + "\n", + "$MSE_list[[24]][[72]]\n", + "[1] 0.2748555\n", + "\n", + "$MSE_list[[24]][[73]]\n", + "[1] 0.1116938\n", + "\n", + "$MSE_list[[24]][[74]]\n", + "[1] 0.1944913\n", + "\n", + "$MSE_list[[24]][[75]]\n", + "[1] 0.1639501\n", + "\n", + "$MSE_list[[24]][[76]]\n", + "[1] 0.2674897\n", + "\n", + "$MSE_list[[24]][[77]]\n", + "[1] 0.2691975\n", + "\n", + "$MSE_list[[24]][[78]]\n", + "[1] 0.3719646\n", + "\n", + "$MSE_list[[24]][[79]]\n", + "[1] 0.1857846\n", + "\n", + "$MSE_list[[24]][[80]]\n", + "[1] 0.2080682\n", + "\n", + "$MSE_list[[24]][[81]]\n", + "[1] 0.1695921\n", + "\n", + "$MSE_list[[24]][[82]]\n", + "[1] 0.3768163\n", + "\n", + "$MSE_list[[24]][[83]]\n", + "[1] 0.2927341\n", + "\n", + "$MSE_list[[24]][[84]]\n", + "[1] 0.1780098\n", + "\n", + "$MSE_list[[24]][[85]]\n", + "[1] 0.1785122\n", + "\n", + "$MSE_list[[24]][[86]]\n", + "[1] 0.236282\n", + "\n", + "$MSE_list[[24]][[87]]\n", + "[1] 0.1931564\n", + "\n", + "$MSE_list[[24]][[88]]\n", + "[1] 0.310104\n", + "\n", + "$MSE_list[[24]][[89]]\n", + "[1] 0.2384419\n", + "\n", + "$MSE_list[[24]][[90]]\n", + "[1] 0.3480437\n", + "\n", + "$MSE_list[[24]][[91]]\n", + "[1] 0.2279513\n", + "\n", + "$MSE_list[[24]][[92]]\n", + "[1] 0.2057088\n", + "\n", + "$MSE_list[[24]][[93]]\n", + "[1] 0.06464334\n", + "\n", + "$MSE_list[[24]][[94]]\n", + "[1] 0.2581182\n", + "\n", + "$MSE_list[[24]][[95]]\n", + "[1] 0.1199902\n", + "\n", + "$MSE_list[[24]][[96]]\n", + "[1] 0.1848954\n", + "\n", + "$MSE_list[[24]][[97]]\n", + "[1] 0.1963439\n", + "\n", + "$MSE_list[[24]][[98]]\n", + "[1] 0.199239\n", + "\n", + "$MSE_list[[24]][[99]]\n", + "[1] 0.3187287\n", + "\n", + "$MSE_list[[24]][[100]]\n", + "[1] 0.2048775\n", + "\n", + "\n", + "$MSE_list[[25]]\n", + "$MSE_list[[25]][[1]]\n", + "[1] 0.247983\n", + "\n", + "$MSE_list[[25]][[2]]\n", + "[1] 0.2874355\n", + "\n", + "$MSE_list[[25]][[3]]\n", + "[1] 0.3713474\n", + "\n", + "$MSE_list[[25]][[4]]\n", + "[1] 0.252568\n", + "\n", + "$MSE_list[[25]][[5]]\n", + "[1] 0.2450477\n", + "\n", + "$MSE_list[[25]][[6]]\n", + "[1] 0.1135115\n", + "\n", + "$MSE_list[[25]][[7]]\n", + "[1] 0.1568413\n", + "\n", + "$MSE_list[[25]][[8]]\n", + "[1] 0.3323298\n", + "\n", + "$MSE_list[[25]][[9]]\n", + "[1] 0.06465929\n", + "\n", + "$MSE_list[[25]][[10]]\n", + "[1] 0.2878213\n", + "\n", + "$MSE_list[[25]][[11]]\n", + "[1] 0.3245973\n", + "\n", + "$MSE_list[[25]][[12]]\n", + "[1] 0.2415252\n", + "\n", + "$MSE_list[[25]][[13]]\n", + "[1] 0.2665557\n", + "\n", + "$MSE_list[[25]][[14]]\n", + "[1] 0.3149382\n", + "\n", + "$MSE_list[[25]][[15]]\n", + "[1] 0.2353059\n", + "\n", + "$MSE_list[[25]][[16]]\n", + "[1] 0.1501851\n", + "\n", + "$MSE_list[[25]][[17]]\n", + "[1] 0.2213512\n", + "\n", + "$MSE_list[[25]][[18]]\n", + "[1] 0.2278219\n", + "\n", + "$MSE_list[[25]][[19]]\n", + "[1] 0.1852171\n", + "\n", + "$MSE_list[[25]][[20]]\n", + "[1] 0.08499985\n", + "\n", + "$MSE_list[[25]][[21]]\n", + "[1] 0.2462743\n", + "\n", + "$MSE_list[[25]][[22]]\n", + "[1] 0.1819842\n", + "\n", + "$MSE_list[[25]][[23]]\n", + "[1] 0.1490299\n", + "\n", + "$MSE_list[[25]][[24]]\n", + "[1] 0.3262513\n", + "\n", + "$MSE_list[[25]][[25]]\n", + "[1] 0.2594944\n", + "\n", + "$MSE_list[[25]][[26]]\n", + "[1] 0.2877781\n", + "\n", + "$MSE_list[[25]][[27]]\n", + "[1] 0.3830447\n", + "\n", + "$MSE_list[[25]][[28]]\n", + "[1] 0.280887\n", + "\n", + "$MSE_list[[25]][[29]]\n", + "[1] 0.1830376\n", + "\n", + "$MSE_list[[25]][[30]]\n", + "[1] 0.1869294\n", + "\n", + "$MSE_list[[25]][[31]]\n", + "[1] 0.3227256\n", + "\n", + "$MSE_list[[25]][[32]]\n", + "[1] 0.2407118\n", + "\n", + "$MSE_list[[25]][[33]]\n", + "[1] 0.2011101\n", + "\n", + "$MSE_list[[25]][[34]]\n", + "[1] 0.3188529\n", + "\n", + "$MSE_list[[25]][[35]]\n", + "[1] 0.3110925\n", + "\n", + "$MSE_list[[25]][[36]]\n", + "[1] 0.27487\n", + "\n", + "$MSE_list[[25]][[37]]\n", + "[1] 0.1970454\n", + "\n", + "$MSE_list[[25]][[38]]\n", + "[1] 0.1604597\n", + "\n", + "$MSE_list[[25]][[39]]\n", + "[1] 0.3284606\n", + "\n", + "$MSE_list[[25]][[40]]\n", + "[1] 0.2927016\n", + "\n", + "$MSE_list[[25]][[41]]\n", + "[1] 0.2487814\n", + "\n", + "$MSE_list[[25]][[42]]\n", + "[1] 0.1779981\n", + "\n", + "$MSE_list[[25]][[43]]\n", + "[1] 0.3482901\n", + "\n", + "$MSE_list[[25]][[44]]\n", + "[1] 0.2119698\n", + "\n", + "$MSE_list[[25]][[45]]\n", + "[1] 0.2562591\n", + "\n", + "$MSE_list[[25]][[46]]\n", + "[1] 0.1685681\n", + "\n", + "$MSE_list[[25]][[47]]\n", + "[1] 0.1941528\n", + "\n", + "$MSE_list[[25]][[48]]\n", + "[1] 0.2776189\n", + "\n", + "$MSE_list[[25]][[49]]\n", + "[1] 0.2634887\n", + "\n", + "$MSE_list[[25]][[50]]\n", + "[1] 0.2858088\n", + "\n", + "$MSE_list[[25]][[51]]\n", + "[1] 0.3062187\n", + "\n", + "$MSE_list[[25]][[52]]\n", + "[1] 0.2897731\n", + "\n", + "$MSE_list[[25]][[53]]\n", + "[1] 0.3372714\n", + "\n", + "$MSE_list[[25]][[54]]\n", + "[1] 0.330116\n", + "\n", + "$MSE_list[[25]][[55]]\n", + "[1] 0.3028615\n", + "\n", + "$MSE_list[[25]][[56]]\n", + "[1] 0.2561388\n", + "\n", + "$MSE_list[[25]][[57]]\n", + "[1] 0.3723093\n", + "\n", + "$MSE_list[[25]][[58]]\n", + "[1] 0.2384356\n", + "\n", + "$MSE_list[[25]][[59]]\n", + "[1] 0.314873\n", + "\n", + "$MSE_list[[25]][[60]]\n", + "[1] 0.211375\n", + "\n", + "$MSE_list[[25]][[61]]\n", + "[1] 0.3150766\n", + "\n", + "$MSE_list[[25]][[62]]\n", + "[1] 0.2874005\n", + "\n", + "$MSE_list[[25]][[63]]\n", + "[1] 0.2690655\n", + "\n", + "$MSE_list[[25]][[64]]\n", + "[1] 0.2898496\n", + "\n", + "$MSE_list[[25]][[65]]\n", + "[1] 0.1316324\n", + "\n", + "$MSE_list[[25]][[66]]\n", + "[1] 0.1722847\n", + "\n", + "$MSE_list[[25]][[67]]\n", + "[1] 0.2385955\n", + "\n", + "$MSE_list[[25]][[68]]\n", + "[1] 0.2468911\n", + "\n", + "$MSE_list[[25]][[69]]\n", + "[1] 0.1713758\n", + "\n", + "$MSE_list[[25]][[70]]\n", + "[1] 0.1060127\n", + "\n", + "$MSE_list[[25]][[71]]\n", + "[1] 0.3505951\n", + "\n", + "$MSE_list[[25]][[72]]\n", + "[1] 0.3505865\n", + "\n", + "$MSE_list[[25]][[73]]\n", + "[1] 0.3065098\n", + "\n", + "$MSE_list[[25]][[74]]\n", + "[1] 0.2285775\n", + "\n", + "$MSE_list[[25]][[75]]\n", + "[1] 0.1825758\n", + "\n", + "$MSE_list[[25]][[76]]\n", + "[1] 0.3182467\n", + "\n", + "$MSE_list[[25]][[77]]\n", + "[1] 0.1926572\n", + "\n", + "$MSE_list[[25]][[78]]\n", + "[1] 0.3671121\n", + "\n", + "$MSE_list[[25]][[79]]\n", + "[1] 0.3545153\n", + "\n", + "$MSE_list[[25]][[80]]\n", + "[1] 0.1294865\n", + "\n", + "$MSE_list[[25]][[81]]\n", + "[1] 0.2571977\n", + "\n", + "$MSE_list[[25]][[82]]\n", + "[1] 0.2855832\n", + "\n", + "$MSE_list[[25]][[83]]\n", + "[1] 0.2349448\n", + "\n", + "$MSE_list[[25]][[84]]\n", + "[1] 0.2494571\n", + "\n", + "$MSE_list[[25]][[85]]\n", + "[1] 0.1169958\n", + "\n", + "$MSE_list[[25]][[86]]\n", + "[1] 0.1317397\n", + "\n", + "$MSE_list[[25]][[87]]\n", + "[1] 0.2007203\n", + "\n", + "$MSE_list[[25]][[88]]\n", + "[1] 0.2744596\n", + "\n", + "$MSE_list[[25]][[89]]\n", + "[1] 0.2615488\n", + "\n", + "$MSE_list[[25]][[90]]\n", + "[1] 0.3605875\n", + "\n", + "$MSE_list[[25]][[91]]\n", + "[1] 0.2669479\n", + "\n", + "$MSE_list[[25]][[92]]\n", + "[1] 0.3036105\n", + "\n", + "$MSE_list[[25]][[93]]\n", + "[1] 0.2154822\n", + "\n", + "$MSE_list[[25]][[94]]\n", + "[1] 0.2698082\n", + "\n", + "$MSE_list[[25]][[95]]\n", + "[1] 0.3714242\n", + "\n", + "$MSE_list[[25]][[96]]\n", + "[1] 0.2356059\n", + "\n", + "$MSE_list[[25]][[97]]\n", + "[1] 0.2745162\n", + "\n", + "$MSE_list[[25]][[98]]\n", + "[1] 0.1030972\n", + "\n", + "$MSE_list[[25]][[99]]\n", + "[1] 0.3777172\n", + "\n", + "$MSE_list[[25]][[100]]\n", + "[1] 0.1294954\n", + "\n", + "\n", + "$MSE_list[[26]]\n", + "$MSE_list[[26]][[1]]\n", + "[1] 0.3184955\n", + "\n", + "$MSE_list[[26]][[2]]\n", + "[1] 0.2547294\n", + "\n", + "$MSE_list[[26]][[3]]\n", + "[1] 0.3483796\n", + "\n", + "$MSE_list[[26]][[4]]\n", + "[1] 0.3216725\n", + "\n", + "$MSE_list[[26]][[5]]\n", + "[1] 0.2876288\n", + "\n", + "$MSE_list[[26]][[6]]\n", + "[1] 0.3218754\n", + "\n", + "$MSE_list[[26]][[7]]\n", + "[1] 0.3193559\n", + "\n", + "$MSE_list[[26]][[8]]\n", + "[1] 0.2149022\n", + "\n", + "$MSE_list[[26]][[9]]\n", + "[1] 0.1977289\n", + "\n", + "$MSE_list[[26]][[10]]\n", + "[1] 0.1769219\n", + "\n", + "$MSE_list[[26]][[11]]\n", + "[1] 0.2957929\n", + "\n", + "$MSE_list[[26]][[12]]\n", + "[1] 0.25729\n", + "\n", + "$MSE_list[[26]][[13]]\n", + "[1] 0.156763\n", + "\n", + "$MSE_list[[26]][[14]]\n", + "[1] 0.2365109\n", + "\n", + "$MSE_list[[26]][[15]]\n", + "[1] 0.2794779\n", + "\n", + "$MSE_list[[26]][[16]]\n", + "[1] 0.4256547\n", + "\n", + "$MSE_list[[26]][[17]]\n", + "[1] 0.2578835\n", + "\n", + "$MSE_list[[26]][[18]]\n", + "[1] 0.393789\n", + "\n", + "$MSE_list[[26]][[19]]\n", + "[1] 0.1925213\n", + "\n", + "$MSE_list[[26]][[20]]\n", + "[1] 0.3303775\n", + "\n", + "$MSE_list[[26]][[21]]\n", + "[1] 0.2276368\n", + "\n", + "$MSE_list[[26]][[22]]\n", + "[1] 0.1512569\n", + "\n", + "$MSE_list[[26]][[23]]\n", + "[1] 0.2831534\n", + "\n", + "$MSE_list[[26]][[24]]\n", + "[1] 0.1992127\n", + "\n", + "$MSE_list[[26]][[25]]\n", + "[1] 0.3356662\n", + "\n", + "$MSE_list[[26]][[26]]\n", + "[1] 0.2214254\n", + "\n", + "$MSE_list[[26]][[27]]\n", + "[1] 0.2622512\n", + "\n", + "$MSE_list[[26]][[28]]\n", + "[1] 0.2364429\n", + "\n", + "$MSE_list[[26]][[29]]\n", + "[1] 0.1978016\n", + "\n", + "$MSE_list[[26]][[30]]\n", + "[1] 0.2603772\n", + "\n", + "$MSE_list[[26]][[31]]\n", + "[1] 0.1596741\n", + "\n", + "$MSE_list[[26]][[32]]\n", + "[1] 0.3134629\n", + "\n", + "$MSE_list[[26]][[33]]\n", + "[1] 0.221609\n", + "\n", + "$MSE_list[[26]][[34]]\n", + "[1] 0.2358534\n", + "\n", + "$MSE_list[[26]][[35]]\n", + "[1] 0.2737969\n", + "\n", + "$MSE_list[[26]][[36]]\n", + "[1] 0.2237121\n", + "\n", + "$MSE_list[[26]][[37]]\n", + "[1] 0.1966136\n", + "\n", + "$MSE_list[[26]][[38]]\n", + "[1] 0.2076189\n", + "\n", + "$MSE_list[[26]][[39]]\n", + "[1] 0.2045861\n", + "\n", + "$MSE_list[[26]][[40]]\n", + "[1] 0.2311702\n", + "\n", + "$MSE_list[[26]][[41]]\n", + "[1] 0.3212812\n", + "\n", + "$MSE_list[[26]][[42]]\n", + "[1] 0.3219028\n", + "\n", + "$MSE_list[[26]][[43]]\n", + "[1] 0.3253462\n", + "\n", + "$MSE_list[[26]][[44]]\n", + "[1] 0.1791294\n", + "\n", + "$MSE_list[[26]][[45]]\n", + "[1] 0.3541498\n", + "\n", + "$MSE_list[[26]][[46]]\n", + "[1] 0.2479554\n", + "\n", + "$MSE_list[[26]][[47]]\n", + "[1] 0.3237131\n", + "\n", + "$MSE_list[[26]][[48]]\n", + "[1] 0.4026754\n", + "\n", + "$MSE_list[[26]][[49]]\n", + "[1] 0.125624\n", + "\n", + "$MSE_list[[26]][[50]]\n", + "[1] 0.3271098\n", + "\n", + "$MSE_list[[26]][[51]]\n", + "[1] 0.2949665\n", + "\n", + "$MSE_list[[26]][[52]]\n", + "[1] 0.1956463\n", + "\n", + "$MSE_list[[26]][[53]]\n", + "[1] 0.2417489\n", + "\n", + "$MSE_list[[26]][[54]]\n", + "[1] 0.3497398\n", + "\n", + "$MSE_list[[26]][[55]]\n", + "[1] 0.2326347\n", + "\n", + "$MSE_list[[26]][[56]]\n", + "[1] 0.3907813\n", + "\n", + "$MSE_list[[26]][[57]]\n", + "[1] 0.2963644\n", + "\n", + "$MSE_list[[26]][[58]]\n", + "[1] 0.2958849\n", + "\n", + "$MSE_list[[26]][[59]]\n", + "[1] 0.2175267\n", + "\n", + "$MSE_list[[26]][[60]]\n", + "[1] 0.2396656\n", + "\n", + "$MSE_list[[26]][[61]]\n", + "[1] 0.289236\n", + "\n", + "$MSE_list[[26]][[62]]\n", + "[1] 0.3468621\n", + "\n", + "$MSE_list[[26]][[63]]\n", + "[1] 0.3553765\n", + "\n", + "$MSE_list[[26]][[64]]\n", + "[1] 0.2181608\n", + "\n", + "$MSE_list[[26]][[65]]\n", + "[1] 0.1625815\n", + "\n", + "$MSE_list[[26]][[66]]\n", + "[1] 0.2597963\n", + "\n", + "$MSE_list[[26]][[67]]\n", + "[1] 0.3185421\n", + "\n", + "$MSE_list[[26]][[68]]\n", + "[1] 0.2550819\n", + "\n", + "$MSE_list[[26]][[69]]\n", + "[1] 0.398851\n", + "\n", + "$MSE_list[[26]][[70]]\n", + "[1] 0.1216656\n", + "\n", + "$MSE_list[[26]][[71]]\n", + "[1] 0.2575093\n", + "\n", + "$MSE_list[[26]][[72]]\n", + "[1] 0.3360319\n", + "\n", + "$MSE_list[[26]][[73]]\n", + "[1] 0.3249427\n", + "\n", + "$MSE_list[[26]][[74]]\n", + "[1] 0.1902183\n", + "\n", + "$MSE_list[[26]][[75]]\n", + "[1] 0.1380827\n", + "\n", + "$MSE_list[[26]][[76]]\n", + "[1] 0.3570085\n", + "\n", + "$MSE_list[[26]][[77]]\n", + "[1] 0.2289416\n", + "\n", + "$MSE_list[[26]][[78]]\n", + "[1] 0.2907737\n", + "\n", + "$MSE_list[[26]][[79]]\n", + "[1] 0.2256604\n", + "\n", + "$MSE_list[[26]][[80]]\n", + "[1] 0.2330734\n", + "\n", + "$MSE_list[[26]][[81]]\n", + "[1] 0.4023216\n", + "\n", + "$MSE_list[[26]][[82]]\n", + "[1] 0.2549996\n", + "\n", + "$MSE_list[[26]][[83]]\n", + "[1] 0.3255073\n", + "\n", + "$MSE_list[[26]][[84]]\n", + "[1] 0.3239375\n", + "\n", + "$MSE_list[[26]][[85]]\n", + "[1] 0.2575006\n", + "\n", + "$MSE_list[[26]][[86]]\n", + "[1] 0.2490219\n", + "\n", + "$MSE_list[[26]][[87]]\n", + "[1] 0.2974651\n", + "\n", + "$MSE_list[[26]][[88]]\n", + "[1] 0.2189547\n", + "\n", + "$MSE_list[[26]][[89]]\n", + "[1] 0.3123429\n", + "\n", + "$MSE_list[[26]][[90]]\n", + "[1] 0.2216304\n", + "\n", + "$MSE_list[[26]][[91]]\n", + "[1] 0.1417879\n", + "\n", + "$MSE_list[[26]][[92]]\n", + "[1] 0.2029626\n", + "\n", + "$MSE_list[[26]][[93]]\n", + "[1] 0.2363283\n", + "\n", + "$MSE_list[[26]][[94]]\n", + "[1] 0.201259\n", + "\n", + "$MSE_list[[26]][[95]]\n", + "[1] 0.4335901\n", + "\n", + "$MSE_list[[26]][[96]]\n", + "[1] 0.2266929\n", + "\n", + "$MSE_list[[26]][[97]]\n", + "[1] 0.1978287\n", + "\n", + "$MSE_list[[26]][[98]]\n", + "[1] 0.1314138\n", + "\n", + "$MSE_list[[26]][[99]]\n", + "[1] 0.2178442\n", + "\n", + "$MSE_list[[26]][[100]]\n", + "[1] 0.3748226\n", + "\n", + "\n", + "$MSE_list[[27]]\n", + "$MSE_list[[27]][[1]]\n", + "[1] 0.3296161\n", + "\n", + "$MSE_list[[27]][[2]]\n", + "[1] 0.1170688\n", + "\n", + "$MSE_list[[27]][[3]]\n", + "[1] 0.2030751\n", + "\n", + "$MSE_list[[27]][[4]]\n", + "[1] 0.2560081\n", + "\n", + "$MSE_list[[27]][[5]]\n", + "[1] 0.08067152\n", + "\n", + "$MSE_list[[27]][[6]]\n", + "[1] 0.1992289\n", + "\n", + "$MSE_list[[27]][[7]]\n", + "[1] 0.1447592\n", + "\n", + "$MSE_list[[27]][[8]]\n", + "[1] 0.2095109\n", + "\n", + "$MSE_list[[27]][[9]]\n", + "[1] 0.3307091\n", + "\n", + "$MSE_list[[27]][[10]]\n", + "[1] 0.1126306\n", + "\n", + "$MSE_list[[27]][[11]]\n", + "[1] 0.1552331\n", + "\n", + "$MSE_list[[27]][[12]]\n", + "[1] 0.2595137\n", + "\n", + "$MSE_list[[27]][[13]]\n", + "[1] 0.2701807\n", + "\n", + "$MSE_list[[27]][[14]]\n", + "[1] 0.2440299\n", + "\n", + "$MSE_list[[27]][[15]]\n", + "[1] 0.1305761\n", + "\n", + "$MSE_list[[27]][[16]]\n", + "[1] 0.3400004\n", + "\n", + "$MSE_list[[27]][[17]]\n", + "[1] 0.1840337\n", + "\n", + "$MSE_list[[27]][[18]]\n", + "[1] 0.2558024\n", + "\n", + "$MSE_list[[27]][[19]]\n", + "[1] 0.1299079\n", + "\n", + "$MSE_list[[27]][[20]]\n", + "[1] 0.2013585\n", + "\n", + "$MSE_list[[27]][[21]]\n", + "[1] 0.179711\n", + "\n", + "$MSE_list[[27]][[22]]\n", + "[1] 0.2179018\n", + "\n", + "$MSE_list[[27]][[23]]\n", + "[1] 0.1474436\n", + "\n", + "$MSE_list[[27]][[24]]\n", + "[1] 0.255442\n", + "\n", + "$MSE_list[[27]][[25]]\n", + "[1] 0.3018463\n", + "\n", + "$MSE_list[[27]][[26]]\n", + "[1] 0.1760564\n", + "\n", + "$MSE_list[[27]][[27]]\n", + "[1] 0.2218625\n", + "\n", + "$MSE_list[[27]][[28]]\n", + "[1] 0.1655417\n", + "\n", + "$MSE_list[[27]][[29]]\n", + "[1] 0.2856213\n", + "\n", + "$MSE_list[[27]][[30]]\n", + "[1] 0.34614\n", + "\n", + "$MSE_list[[27]][[31]]\n", + "[1] 0.160548\n", + "\n", + "$MSE_list[[27]][[32]]\n", + "[1] 0.2714756\n", + "\n", + "$MSE_list[[27]][[33]]\n", + "[1] 0.1989879\n", + "\n", + "$MSE_list[[27]][[34]]\n", + "[1] 0.1421016\n", + "\n", + "$MSE_list[[27]][[35]]\n", + "[1] 0.1505024\n", + "\n", + "$MSE_list[[27]][[36]]\n", + "[1] 0.2684427\n", + "\n", + "$MSE_list[[27]][[37]]\n", + "[1] 0.3325735\n", + "\n", + "$MSE_list[[27]][[38]]\n", + "[1] 0.2193214\n", + "\n", + "$MSE_list[[27]][[39]]\n", + "[1] 0.1486051\n", + "\n", + "$MSE_list[[27]][[40]]\n", + "[1] 0.1728101\n", + "\n", + "$MSE_list[[27]][[41]]\n", + "[1] 0.2910226\n", + "\n", + "$MSE_list[[27]][[42]]\n", + "[1] 0.2884455\n", + "\n", + "$MSE_list[[27]][[43]]\n", + "[1] 0.2834894\n", + "\n", + "$MSE_list[[27]][[44]]\n", + "[1] 0.1910303\n", + "\n", + "$MSE_list[[27]][[45]]\n", + "[1] 0.1526951\n", + "\n", + "$MSE_list[[27]][[46]]\n", + "[1] 0.3251242\n", + "\n", + "$MSE_list[[27]][[47]]\n", + "[1] 0.196008\n", + "\n", + "$MSE_list[[27]][[48]]\n", + "[1] 0.1288956\n", + "\n", + "$MSE_list[[27]][[49]]\n", + "[1] 0.1495242\n", + "\n", + "$MSE_list[[27]][[50]]\n", + "[1] 0.1344178\n", + "\n", + "$MSE_list[[27]][[51]]\n", + "[1] 0.1442108\n", + "\n", + "$MSE_list[[27]][[52]]\n", + "[1] 0.1166268\n", + "\n", + "$MSE_list[[27]][[53]]\n", + "[1] 0.2038343\n", + "\n", + "$MSE_list[[27]][[54]]\n", + "[1] 0.2159423\n", + "\n", + "$MSE_list[[27]][[55]]\n", + "[1] 0.1896357\n", + "\n", + "$MSE_list[[27]][[56]]\n", + "[1] 0.1673743\n", + "\n", + "$MSE_list[[27]][[57]]\n", + "[1] 0.2611239\n", + "\n", + "$MSE_list[[27]][[58]]\n", + "[1] 0.1622104\n", + "\n", + "$MSE_list[[27]][[59]]\n", + "[1] 0.2059126\n", + "\n", + "$MSE_list[[27]][[60]]\n", + "[1] 0.3394465\n", + "\n", + "$MSE_list[[27]][[61]]\n", + "[1] 0.2323668\n", + "\n", + "$MSE_list[[27]][[62]]\n", + "[1] 0.1707544\n", + "\n", + "$MSE_list[[27]][[63]]\n", + "[1] 0.3110014\n", + "\n", + "$MSE_list[[27]][[64]]\n", + "[1] 0.09842048\n", + "\n", + "$MSE_list[[27]][[65]]\n", + "[1] 0.1985208\n", + "\n", + "$MSE_list[[27]][[66]]\n", + "[1] 0.1869243\n", + "\n", + "$MSE_list[[27]][[67]]\n", + "[1] 0.2680634\n", + "\n", + "$MSE_list[[27]][[68]]\n", + "[1] 0.21588\n", + "\n", + "$MSE_list[[27]][[69]]\n", + "[1] 0.2581092\n", + "\n", + "$MSE_list[[27]][[70]]\n", + "[1] 0.1736522\n", + "\n", + "$MSE_list[[27]][[71]]\n", + "[1] 0.1486337\n", + "\n", + "$MSE_list[[27]][[72]]\n", + "[1] 0.2758694\n", + "\n", + "$MSE_list[[27]][[73]]\n", + "[1] 0.4216456\n", + "\n", + "$MSE_list[[27]][[74]]\n", + "[1] 0.2514828\n", + "\n", + "$MSE_list[[27]][[75]]\n", + "[1] 0.2918488\n", + "\n", + "$MSE_list[[27]][[76]]\n", + "[1] 0.2444199\n", + "\n", + "$MSE_list[[27]][[77]]\n", + "[1] 0.2217469\n", + "\n", + "$MSE_list[[27]][[78]]\n", + "[1] 0.1448934\n", + "\n", + "$MSE_list[[27]][[79]]\n", + "[1] 0.2266386\n", + "\n", + "$MSE_list[[27]][[80]]\n", + "[1] 0.1841518\n", + "\n", + "$MSE_list[[27]][[81]]\n", + "[1] 0.3155767\n", + "\n", + "$MSE_list[[27]][[82]]\n", + "[1] 0.2020679\n", + "\n", + "$MSE_list[[27]][[83]]\n", + "[1] 0.1987326\n", + "\n", + "$MSE_list[[27]][[84]]\n", + "[1] 0.2987997\n", + "\n", + "$MSE_list[[27]][[85]]\n", + "[1] 0.1759055\n", + "\n", + "$MSE_list[[27]][[86]]\n", + "[1] 0.3125774\n", + "\n", + "$MSE_list[[27]][[87]]\n", + "[1] 0.44338\n", + "\n", + "$MSE_list[[27]][[88]]\n", + "[1] 0.2252302\n", + "\n", + "$MSE_list[[27]][[89]]\n", + "[1] 0.2203027\n", + "\n", + "$MSE_list[[27]][[90]]\n", + "[1] 0.1546772\n", + "\n", + "$MSE_list[[27]][[91]]\n", + "[1] 0.2152495\n", + "\n", + "$MSE_list[[27]][[92]]\n", + "[1] 0.1004047\n", + "\n", + "$MSE_list[[27]][[93]]\n", + "[1] 0.1184135\n", + "\n", + "$MSE_list[[27]][[94]]\n", + "[1] 0.2879217\n", + "\n", + "$MSE_list[[27]][[95]]\n", + "[1] 0.1139015\n", + "\n", + "$MSE_list[[27]][[96]]\n", + "[1] 0.2953695\n", + "\n", + "$MSE_list[[27]][[97]]\n", + "[1] 0.1213053\n", + "\n", + "$MSE_list[[27]][[98]]\n", + "[1] 0.2860387\n", + "\n", + "$MSE_list[[27]][[99]]\n", + "[1] 0.1104315\n", + "\n", + "$MSE_list[[27]][[100]]\n", + "[1] 0.3032276\n", + "\n", + "\n", + "$MSE_list[[28]]\n", + "$MSE_list[[28]][[1]]\n", + "[1] 0.3617781\n", + "\n", + "$MSE_list[[28]][[2]]\n", + "[1] 0.3407387\n", + "\n", + "$MSE_list[[28]][[3]]\n", + "[1] 0.3658559\n", + "\n", + "$MSE_list[[28]][[4]]\n", + "[1] 0.3793704\n", + "\n", + "$MSE_list[[28]][[5]]\n", + "[1] 0.2373653\n", + "\n", + "$MSE_list[[28]][[6]]\n", + "[1] 0.3037485\n", + "\n", + "$MSE_list[[28]][[7]]\n", + "[1] 0.315086\n", + "\n", + "$MSE_list[[28]][[8]]\n", + "[1] 0.3277646\n", + "\n", + "$MSE_list[[28]][[9]]\n", + "[1] 0.2470851\n", + "\n", + "$MSE_list[[28]][[10]]\n", + "[1] 0.4554683\n", + "\n", + "$MSE_list[[28]][[11]]\n", + "[1] 0.3611692\n", + "\n", + "$MSE_list[[28]][[12]]\n", + "[1] 0.3114814\n", + "\n", + "$MSE_list[[28]][[13]]\n", + "[1] 0.4386876\n", + "\n", + "$MSE_list[[28]][[14]]\n", + "[1] 0.322122\n", + "\n", + "$MSE_list[[28]][[15]]\n", + "[1] 0.1668433\n", + "\n", + "$MSE_list[[28]][[16]]\n", + "[1] 0.4135379\n", + "\n", + "$MSE_list[[28]][[17]]\n", + "[1] 0.2518717\n", + "\n", + "$MSE_list[[28]][[18]]\n", + "[1] 0.3033204\n", + "\n", + "$MSE_list[[28]][[19]]\n", + "[1] 0.3918012\n", + "\n", + "$MSE_list[[28]][[20]]\n", + "[1] 0.4119859\n", + "\n", + "$MSE_list[[28]][[21]]\n", + "[1] 0.3995958\n", + "\n", + "$MSE_list[[28]][[22]]\n", + "[1] 0.337569\n", + "\n", + "$MSE_list[[28]][[23]]\n", + "[1] 0.3094499\n", + "\n", + "$MSE_list[[28]][[24]]\n", + "[1] 0.2033502\n", + "\n", + "$MSE_list[[28]][[25]]\n", + "[1] 0.2927778\n", + "\n", + "$MSE_list[[28]][[26]]\n", + "[1] 0.3373424\n", + "\n", + "$MSE_list[[28]][[27]]\n", + "[1] 0.4049626\n", + "\n", + "$MSE_list[[28]][[28]]\n", + "[1] 0.4085494\n", + "\n", + "$MSE_list[[28]][[29]]\n", + "[1] 0.4112806\n", + "\n", + "$MSE_list[[28]][[30]]\n", + "[1] 0.3327242\n", + "\n", + "$MSE_list[[28]][[31]]\n", + "[1] 0.3213351\n", + "\n", + "$MSE_list[[28]][[32]]\n", + "[1] 0.2640985\n", + "\n", + "$MSE_list[[28]][[33]]\n", + "[1] 0.2347491\n", + "\n", + "$MSE_list[[28]][[34]]\n", + "[1] 0.2633098\n", + "\n", + "$MSE_list[[28]][[35]]\n", + "[1] 0.2145268\n", + "\n", + "$MSE_list[[28]][[36]]\n", + "[1] 0.3104984\n", + "\n", + "$MSE_list[[28]][[37]]\n", + "[1] 0.368621\n", + "\n", + "$MSE_list[[28]][[38]]\n", + "[1] 0.4139342\n", + "\n", + "$MSE_list[[28]][[39]]\n", + "[1] 0.2704151\n", + "\n", + "$MSE_list[[28]][[40]]\n", + "[1] 0.3402577\n", + "\n", + "$MSE_list[[28]][[41]]\n", + "[1] 0.2204477\n", + "\n", + "$MSE_list[[28]][[42]]\n", + "[1] 0.3363989\n", + "\n", + "$MSE_list[[28]][[43]]\n", + "[1] 0.2203175\n", + "\n", + "$MSE_list[[28]][[44]]\n", + "[1] 0.3398305\n", + "\n", + "$MSE_list[[28]][[45]]\n", + "[1] 0.14337\n", + "\n", + "$MSE_list[[28]][[46]]\n", + "[1] 0.2873378\n", + "\n", + "$MSE_list[[28]][[47]]\n", + "[1] 0.2058505\n", + "\n", + "$MSE_list[[28]][[48]]\n", + "[1] 0.3073956\n", + "\n", + "$MSE_list[[28]][[49]]\n", + "[1] 0.3741026\n", + "\n", + "$MSE_list[[28]][[50]]\n", + "[1] 0.2813905\n", + "\n", + "$MSE_list[[28]][[51]]\n", + "[1] 0.1766477\n", + "\n", + "$MSE_list[[28]][[52]]\n", + "[1] 0.2997917\n", + "\n", + "$MSE_list[[28]][[53]]\n", + "[1] 0.4613636\n", + "\n", + "$MSE_list[[28]][[54]]\n", + "[1] 0.2123134\n", + "\n", + "$MSE_list[[28]][[55]]\n", + "[1] 0.3637834\n", + "\n", + "$MSE_list[[28]][[56]]\n", + "[1] 0.3268926\n", + "\n", + "$MSE_list[[28]][[57]]\n", + "[1] 0.1161002\n", + "\n", + "$MSE_list[[28]][[58]]\n", + "[1] 0.3237283\n", + "\n", + "$MSE_list[[28]][[59]]\n", + "[1] 0.3116136\n", + "\n", + "$MSE_list[[28]][[60]]\n", + "[1] 0.2329364\n", + "\n", + "$MSE_list[[28]][[61]]\n", + "[1] 0.3028143\n", + "\n", + "$MSE_list[[28]][[62]]\n", + "[1] 0.3491778\n", + "\n", + "$MSE_list[[28]][[63]]\n", + "[1] 0.3071231\n", + "\n", + "$MSE_list[[28]][[64]]\n", + "[1] 0.2469725\n", + "\n", + "$MSE_list[[28]][[65]]\n", + "[1] 0.2856799\n", + "\n", + "$MSE_list[[28]][[66]]\n", + "[1] 0.3155052\n", + "\n", + "$MSE_list[[28]][[67]]\n", + "[1] 0.3949343\n", + "\n", + "$MSE_list[[28]][[68]]\n", + "[1] 0.3277131\n", + "\n", + "$MSE_list[[28]][[69]]\n", + "[1] 0.1862176\n", + "\n", + "$MSE_list[[28]][[70]]\n", + "[1] 0.1725004\n", + "\n", + "$MSE_list[[28]][[71]]\n", + "[1] 0.3747596\n", + "\n", + "$MSE_list[[28]][[72]]\n", + "[1] 0.4096933\n", + "\n", + "$MSE_list[[28]][[73]]\n", + "[1] 0.3277942\n", + "\n", + "$MSE_list[[28]][[74]]\n", + "[1] 0.2798156\n", + "\n", + "$MSE_list[[28]][[75]]\n", + "[1] 0.2761454\n", + "\n", + "$MSE_list[[28]][[76]]\n", + "[1] 0.2251794\n", + "\n", + "$MSE_list[[28]][[77]]\n", + "[1] 0.5061146\n", + "\n", + "$MSE_list[[28]][[78]]\n", + "[1] 0.3060717\n", + "\n", + "$MSE_list[[28]][[79]]\n", + "[1] 0.3303274\n", + "\n", + "$MSE_list[[28]][[80]]\n", + "[1] 0.2486998\n", + "\n", + "$MSE_list[[28]][[81]]\n", + "[1] 0.3316571\n", + "\n", + "$MSE_list[[28]][[82]]\n", + "[1] 0.2529612\n", + "\n", + "$MSE_list[[28]][[83]]\n", + "[1] 0.4040083\n", + "\n", + "$MSE_list[[28]][[84]]\n", + "[1] 0.2195278\n", + "\n", + "$MSE_list[[28]][[85]]\n", + "[1] 0.3595986\n", + "\n", + "$MSE_list[[28]][[86]]\n", + "[1] 0.3695919\n", + "\n", + "$MSE_list[[28]][[87]]\n", + "[1] 0.4742834\n", + "\n", + "$MSE_list[[28]][[88]]\n", + "[1] 0.4934104\n", + "\n", + "$MSE_list[[28]][[89]]\n", + "[1] 0.3249074\n", + "\n", + "$MSE_list[[28]][[90]]\n", + "[1] 0.2691098\n", + "\n", + "$MSE_list[[28]][[91]]\n", + "[1] 0.2912347\n", + "\n", + "$MSE_list[[28]][[92]]\n", + "[1] 0.3627742\n", + "\n", + "$MSE_list[[28]][[93]]\n", + "[1] 0.5043887\n", + "\n", + "$MSE_list[[28]][[94]]\n", + "[1] 0.2680512\n", + "\n", + "$MSE_list[[28]][[95]]\n", + "[1] 0.2903563\n", + "\n", + "$MSE_list[[28]][[96]]\n", + "[1] 0.3140288\n", + "\n", + "$MSE_list[[28]][[97]]\n", + "[1] 0.3205695\n", + "\n", + "$MSE_list[[28]][[98]]\n", + "[1] 0.269433\n", + "\n", + "$MSE_list[[28]][[99]]\n", + "[1] 0.3281067\n", + "\n", + "$MSE_list[[28]][[100]]\n", + "[1] 0.2453922\n", + "\n", + "\n", + "$MSE_list[[29]]\n", + "$MSE_list[[29]][[1]]\n", + "[1] 0.2270108\n", + "\n", + "$MSE_list[[29]][[2]]\n", + "[1] 0.2251805\n", + "\n", + "$MSE_list[[29]][[3]]\n", + "[1] 0.2418465\n", + "\n", + "$MSE_list[[29]][[4]]\n", + "[1] 0.3590216\n", + "\n", + "$MSE_list[[29]][[5]]\n", + "[1] 0.1371861\n", + "\n", + "$MSE_list[[29]][[6]]\n", + "[1] 0.2650946\n", + "\n", + "$MSE_list[[29]][[7]]\n", + "[1] 0.3021666\n", + "\n", + "$MSE_list[[29]][[8]]\n", + "[1] 0.2517165\n", + "\n", + "$MSE_list[[29]][[9]]\n", + "[1] 0.15982\n", + "\n", + "$MSE_list[[29]][[10]]\n", + "[1] 0.2581414\n", + "\n", + "$MSE_list[[29]][[11]]\n", + "[1] 0.2169477\n", + "\n", + "$MSE_list[[29]][[12]]\n", + "[1] 0.1338243\n", + "\n", + "$MSE_list[[29]][[13]]\n", + "[1] 0.3385355\n", + "\n", + "$MSE_list[[29]][[14]]\n", + "[1] 0.2461826\n", + "\n", + "$MSE_list[[29]][[15]]\n", + "[1] 0.255891\n", + "\n", + "$MSE_list[[29]][[16]]\n", + "[1] 0.09397186\n", + "\n", + "$MSE_list[[29]][[17]]\n", + "[1] 0.3063057\n", + "\n", + "$MSE_list[[29]][[18]]\n", + "[1] 0.2770187\n", + "\n", + "$MSE_list[[29]][[19]]\n", + "[1] 0.2111244\n", + "\n", + "$MSE_list[[29]][[20]]\n", + "[1] 0.2647912\n", + "\n", + "$MSE_list[[29]][[21]]\n", + "[1] 0.2016266\n", + "\n", + "$MSE_list[[29]][[22]]\n", + "[1] 0.2672282\n", + "\n", + "$MSE_list[[29]][[23]]\n", + "[1] 0.3691815\n", + "\n", + "$MSE_list[[29]][[24]]\n", + "[1] 0.2043977\n", + "\n", + "$MSE_list[[29]][[25]]\n", + "[1] 0.1950599\n", + "\n", + "$MSE_list[[29]][[26]]\n", + "[1] 0.2706431\n", + "\n", + "$MSE_list[[29]][[27]]\n", + "[1] 0.3548373\n", + "\n", + "$MSE_list[[29]][[28]]\n", + "[1] 0.3102349\n", + "\n", + "$MSE_list[[29]][[29]]\n", + "[1] 0.2533999\n", + "\n", + "$MSE_list[[29]][[30]]\n", + "[1] 0.1655309\n", + "\n", + "$MSE_list[[29]][[31]]\n", + "[1] 0.144913\n", + "\n", + "$MSE_list[[29]][[32]]\n", + "[1] 0.2915444\n", + "\n", + "$MSE_list[[29]][[33]]\n", + "[1] 0.2040118\n", + "\n", + "$MSE_list[[29]][[34]]\n", + "[1] 0.2487103\n", + "\n", + "$MSE_list[[29]][[35]]\n", + "[1] 0.2500715\n", + "\n", + "$MSE_list[[29]][[36]]\n", + "[1] 0.1628569\n", + "\n", + "$MSE_list[[29]][[37]]\n", + "[1] 0.2956569\n", + "\n", + "$MSE_list[[29]][[38]]\n", + "[1] 0.04612152\n", + "\n", + "$MSE_list[[29]][[39]]\n", + "[1] 0.1063029\n", + "\n", + "$MSE_list[[29]][[40]]\n", + "[1] 0.09277626\n", + "\n", + "$MSE_list[[29]][[41]]\n", + "[1] 0.18942\n", + "\n", + "$MSE_list[[29]][[42]]\n", + "[1] 0.1316102\n", + "\n", + "$MSE_list[[29]][[43]]\n", + "[1] 0.1981195\n", + "\n", + "$MSE_list[[29]][[44]]\n", + "[1] 0.2021415\n", + "\n", + "$MSE_list[[29]][[45]]\n", + "[1] 0.2525258\n", + "\n", + "$MSE_list[[29]][[46]]\n", + "[1] 0.2579176\n", + "\n", + "$MSE_list[[29]][[47]]\n", + "[1] 0.2026702\n", + "\n", + "$MSE_list[[29]][[48]]\n", + "[1] 0.1923826\n", + "\n", + "$MSE_list[[29]][[49]]\n", + "[1] 0.1600101\n", + "\n", + "$MSE_list[[29]][[50]]\n", + "[1] 0.2368098\n", + "\n", + "$MSE_list[[29]][[51]]\n", + "[1] 0.1360169\n", + "\n", + "$MSE_list[[29]][[52]]\n", + "[1] 0.2325056\n", + "\n", + "$MSE_list[[29]][[53]]\n", + "[1] 0.1511665\n", + "\n", + "$MSE_list[[29]][[54]]\n", + "[1] 0.2754197\n", + "\n", + "$MSE_list[[29]][[55]]\n", + "[1] 0.3198781\n", + "\n", + "$MSE_list[[29]][[56]]\n", + "[1] 0.1986337\n", + "\n", + "$MSE_list[[29]][[57]]\n", + "[1] 0.3513192\n", + "\n", + "$MSE_list[[29]][[58]]\n", + "[1] 0.1215494\n", + "\n", + "$MSE_list[[29]][[59]]\n", + "[1] 0.195113\n", + "\n", + "$MSE_list[[29]][[60]]\n", + "[1] 0.2736342\n", + "\n", + "$MSE_list[[29]][[61]]\n", + "[1] 0.1805729\n", + "\n", + "$MSE_list[[29]][[62]]\n", + "[1] 0.2879147\n", + "\n", + "$MSE_list[[29]][[63]]\n", + "[1] 0.2068046\n", + "\n", + "$MSE_list[[29]][[64]]\n", + "[1] 0.3385373\n", + "\n", + "$MSE_list[[29]][[65]]\n", + "[1] 0.2674962\n", + "\n", + "$MSE_list[[29]][[66]]\n", + "[1] 0.2115135\n", + "\n", + "$MSE_list[[29]][[67]]\n", + "[1] 0.3481176\n", + "\n", + "$MSE_list[[29]][[68]]\n", + "[1] 0.2818981\n", + "\n", + "$MSE_list[[29]][[69]]\n", + "[1] 0.3596047\n", + "\n", + "$MSE_list[[29]][[70]]\n", + "[1] 0.3044755\n", + "\n", + "$MSE_list[[29]][[71]]\n", + "[1] 0.2265305\n", + "\n", + "$MSE_list[[29]][[72]]\n", + "[1] 0.1509976\n", + "\n", + "$MSE_list[[29]][[73]]\n", + "[1] 0.2485588\n", + "\n", + "$MSE_list[[29]][[74]]\n", + "[1] 0.1958603\n", + "\n", + "$MSE_list[[29]][[75]]\n", + "[1] 0.3349483\n", + "\n", + "$MSE_list[[29]][[76]]\n", + "[1] 0.280394\n", + "\n", + "$MSE_list[[29]][[77]]\n", + "[1] 0.208522\n", + "\n", + "$MSE_list[[29]][[78]]\n", + "[1] 0.2220356\n", + "\n", + "$MSE_list[[29]][[79]]\n", + "[1] 0.2983778\n", + "\n", + "$MSE_list[[29]][[80]]\n", + "[1] 0.2812711\n", + "\n", + "$MSE_list[[29]][[81]]\n", + "[1] 0.1251861\n", + "\n", + "$MSE_list[[29]][[82]]\n", + "[1] 0.2215551\n", + "\n", + "$MSE_list[[29]][[83]]\n", + "[1] 0.1080517\n", + "\n", + "$MSE_list[[29]][[84]]\n", + "[1] 0.1575379\n", + "\n", + "$MSE_list[[29]][[85]]\n", + "[1] 0.2336029\n", + "\n", + "$MSE_list[[29]][[86]]\n", + "[1] 0.1151478\n", + "\n", + "$MSE_list[[29]][[87]]\n", + "[1] 0.2240089\n", + "\n", + "$MSE_list[[29]][[88]]\n", + "[1] 0.1859585\n", + "\n", + "$MSE_list[[29]][[89]]\n", + "[1] 0.4004341\n", + "\n", + "$MSE_list[[29]][[90]]\n", + "[1] 0.2149036\n", + "\n", + "$MSE_list[[29]][[91]]\n", + "[1] 0.2911864\n", + "\n", + "$MSE_list[[29]][[92]]\n", + "[1] 0.2266326\n", + "\n", + "$MSE_list[[29]][[93]]\n", + "[1] 0.2353468\n", + "\n", + "$MSE_list[[29]][[94]]\n", + "[1] 0.2054537\n", + "\n", + "$MSE_list[[29]][[95]]\n", + "[1] 0.1419797\n", + "\n", + "$MSE_list[[29]][[96]]\n", + "[1] 0.2582665\n", + "\n", + "$MSE_list[[29]][[97]]\n", + "[1] 0.1770281\n", + "\n", + "$MSE_list[[29]][[98]]\n", + "[1] 0.4119558\n", + "\n", + "$MSE_list[[29]][[99]]\n", + "[1] 0.1549844\n", + "\n", + "$MSE_list[[29]][[100]]\n", + "[1] 0.246248\n", + "\n", + "\n", + "$MSE_list[[30]]\n", + "$MSE_list[[30]][[1]]\n", + "[1] 0.2709301\n", + "\n", + "$MSE_list[[30]][[2]]\n", + "[1] 0.1778768\n", + "\n", + "$MSE_list[[30]][[3]]\n", + "[1] 0.3264508\n", + "\n", + "$MSE_list[[30]][[4]]\n", + "[1] 0.3115027\n", + "\n", + "$MSE_list[[30]][[5]]\n", + "[1] 0.2256916\n", + "\n", + "$MSE_list[[30]][[6]]\n", + "[1] 0.2524219\n", + "\n", + "$MSE_list[[30]][[7]]\n", + "[1] 0.3056744\n", + "\n", + "$MSE_list[[30]][[8]]\n", + "[1] 0.2926886\n", + "\n", + "$MSE_list[[30]][[9]]\n", + "[1] 0.194925\n", + "\n", + "$MSE_list[[30]][[10]]\n", + "[1] 0.31006\n", + "\n", + "$MSE_list[[30]][[11]]\n", + "[1] 0.224641\n", + "\n", + "$MSE_list[[30]][[12]]\n", + "[1] 0.3255017\n", + "\n", + "$MSE_list[[30]][[13]]\n", + "[1] 0.2891583\n", + "\n", + "$MSE_list[[30]][[14]]\n", + "[1] 0.4711484\n", + "\n", + "$MSE_list[[30]][[15]]\n", + "[1] 0.1251003\n", + "\n", + "$MSE_list[[30]][[16]]\n", + "[1] 0.3057656\n", + "\n", + "$MSE_list[[30]][[17]]\n", + "[1] 0.3108199\n", + "\n", + "$MSE_list[[30]][[18]]\n", + "[1] 0.3326454\n", + "\n", + "$MSE_list[[30]][[19]]\n", + "[1] 0.2388085\n", + "\n", + "$MSE_list[[30]][[20]]\n", + "[1] 0.3363202\n", + "\n", + "$MSE_list[[30]][[21]]\n", + "[1] 0.3285173\n", + "\n", + "$MSE_list[[30]][[22]]\n", + "[1] 0.2473305\n", + "\n", + "$MSE_list[[30]][[23]]\n", + "[1] 0.1793576\n", + "\n", + "$MSE_list[[30]][[24]]\n", + "[1] 0.2813567\n", + "\n", + "$MSE_list[[30]][[25]]\n", + "[1] 0.373022\n", + "\n", + "$MSE_list[[30]][[26]]\n", + "[1] 0.3521686\n", + "\n", + "$MSE_list[[30]][[27]]\n", + "[1] 0.2230182\n", + "\n", + "$MSE_list[[30]][[28]]\n", + "[1] 0.3976442\n", + "\n", + "$MSE_list[[30]][[29]]\n", + "[1] 0.2357614\n", + "\n", + "$MSE_list[[30]][[30]]\n", + "[1] 0.192751\n", + "\n", + "$MSE_list[[30]][[31]]\n", + "[1] 0.3411092\n", + "\n", + "$MSE_list[[30]][[32]]\n", + "[1] 0.416709\n", + "\n", + "$MSE_list[[30]][[33]]\n", + "[1] 0.2881047\n", + "\n", + "$MSE_list[[30]][[34]]\n", + "[1] 0.2671737\n", + "\n", + "$MSE_list[[30]][[35]]\n", + "[1] 0.22905\n", + "\n", + "$MSE_list[[30]][[36]]\n", + "[1] 0.3148877\n", + "\n", + "$MSE_list[[30]][[37]]\n", + "[1] 0.3235354\n", + "\n", + "$MSE_list[[30]][[38]]\n", + "[1] 0.1314284\n", + "\n", + "$MSE_list[[30]][[39]]\n", + "[1] 0.3044374\n", + "\n", + "$MSE_list[[30]][[40]]\n", + "[1] 0.2985093\n", + "\n", + "$MSE_list[[30]][[41]]\n", + "[1] 0.2498289\n", + "\n", + "$MSE_list[[30]][[42]]\n", + "[1] 0.2415361\n", + "\n", + "$MSE_list[[30]][[43]]\n", + "[1] 0.276701\n", + "\n", + "$MSE_list[[30]][[44]]\n", + "[1] 0.2915095\n", + "\n", + "$MSE_list[[30]][[45]]\n", + "[1] 0.370742\n", + "\n", + "$MSE_list[[30]][[46]]\n", + "[1] 0.2435343\n", + "\n", + "$MSE_list[[30]][[47]]\n", + "[1] 0.4618465\n", + "\n", + "$MSE_list[[30]][[48]]\n", + "[1] 0.3029945\n", + "\n", + "$MSE_list[[30]][[49]]\n", + "[1] 0.2673678\n", + "\n", + "$MSE_list[[30]][[50]]\n", + "[1] 0.2798339\n", + "\n", + "$MSE_list[[30]][[51]]\n", + "[1] 0.1979121\n", + "\n", + "$MSE_list[[30]][[52]]\n", + "[1] 0.3188428\n", + "\n", + "$MSE_list[[30]][[53]]\n", + "[1] 0.2134965\n", + "\n", + "$MSE_list[[30]][[54]]\n", + "[1] 0.3434392\n", + "\n", + "$MSE_list[[30]][[55]]\n", + "[1] 0.3411711\n", + "\n", + "$MSE_list[[30]][[56]]\n", + "[1] 0.2662824\n", + "\n", + "$MSE_list[[30]][[57]]\n", + "[1] 0.274223\n", + "\n", + "$MSE_list[[30]][[58]]\n", + "[1] 0.1516186\n", + "\n", + "$MSE_list[[30]][[59]]\n", + "[1] 0.2514123\n", + "\n", + "$MSE_list[[30]][[60]]\n", + "[1] 0.2924043\n", + "\n", + "$MSE_list[[30]][[61]]\n", + "[1] 0.209983\n", + "\n", + "$MSE_list[[30]][[62]]\n", + "[1] 0.1758517\n", + "\n", + "$MSE_list[[30]][[63]]\n", + "[1] 0.2178503\n", + "\n", + "$MSE_list[[30]][[64]]\n", + "[1] 0.1821137\n", + "\n", + "$MSE_list[[30]][[65]]\n", + "[1] 0.3956867\n", + "\n", + "$MSE_list[[30]][[66]]\n", + "[1] 0.2653794\n", + "\n", + "$MSE_list[[30]][[67]]\n", + "[1] 0.1718786\n", + "\n", + "$MSE_list[[30]][[68]]\n", + "[1] 0.2817974\n", + "\n", + "$MSE_list[[30]][[69]]\n", + "[1] 0.3958801\n", + "\n", + "$MSE_list[[30]][[70]]\n", + "[1] 0.4128304\n", + "\n", + "$MSE_list[[30]][[71]]\n", + "[1] 0.2000112\n", + "\n", + "$MSE_list[[30]][[72]]\n", + "[1] 0.1906133\n", + "\n", + "$MSE_list[[30]][[73]]\n", + "[1] 0.2673008\n", + "\n", + "$MSE_list[[30]][[74]]\n", + "[1] 0.2354736\n", + "\n", + "$MSE_list[[30]][[75]]\n", + "[1] 0.2683224\n", + "\n", + "$MSE_list[[30]][[76]]\n", + "[1] 0.1984963\n", + "\n", + "$MSE_list[[30]][[77]]\n", + "[1] 0.3440051\n", + "\n", + "$MSE_list[[30]][[78]]\n", + "[1] 0.2688894\n", + "\n", + "$MSE_list[[30]][[79]]\n", + "[1] 0.3236466\n", + "\n", + "$MSE_list[[30]][[80]]\n", + "[1] 0.3311633\n", + "\n", + "$MSE_list[[30]][[81]]\n", + "[1] 0.4017093\n", + "\n", + "$MSE_list[[30]][[82]]\n", + "[1] 0.3316045\n", + "\n", + "$MSE_list[[30]][[83]]\n", + "[1] 0.2454407\n", + "\n", + "$MSE_list[[30]][[84]]\n", + "[1] 0.3372542\n", + "\n", + "$MSE_list[[30]][[85]]\n", + "[1] 0.194675\n", + "\n", + "$MSE_list[[30]][[86]]\n", + "[1] 0.2075296\n", + "\n", + "$MSE_list[[30]][[87]]\n", + "[1] 0.1845997\n", + "\n", + "$MSE_list[[30]][[88]]\n", + "[1] 0.3099422\n", + "\n", + "$MSE_list[[30]][[89]]\n", + "[1] 0.3173436\n", + "\n", + "$MSE_list[[30]][[90]]\n", + "[1] 0.3689283\n", + "\n", + "$MSE_list[[30]][[91]]\n", + "[1] 0.1651821\n", + "\n", + "$MSE_list[[30]][[92]]\n", + "[1] 0.1960117\n", + "\n", + "$MSE_list[[30]][[93]]\n", + "[1] 0.2475118\n", + "\n", + "$MSE_list[[30]][[94]]\n", + "[1] 0.2725762\n", + "\n", + "$MSE_list[[30]][[95]]\n", + "[1] 0.2806832\n", + "\n", + "$MSE_list[[30]][[96]]\n", + "[1] 0.3924731\n", + "\n", + "$MSE_list[[30]][[97]]\n", + "[1] 0.3756497\n", + "\n", + "$MSE_list[[30]][[98]]\n", + "[1] 0.226817\n", + "\n", + "$MSE_list[[30]][[99]]\n", + "[1] 0.1321103\n", + "\n", + "$MSE_list[[30]][[100]]\n", + "[1] 0.2902993\n", + "\n", + "\n", + "$MSE_list[[31]]\n", + "$MSE_list[[31]][[1]]\n", + "[1] 0.3693571\n", + "\n", + "$MSE_list[[31]][[2]]\n", + "[1] 0.3281663\n", + "\n", + "$MSE_list[[31]][[3]]\n", + "[1] 0.2143911\n", + "\n", + "$MSE_list[[31]][[4]]\n", + "[1] 0.3011443\n", + "\n", + "$MSE_list[[31]][[5]]\n", + "[1] 0.2229321\n", + "\n", + "$MSE_list[[31]][[6]]\n", + "[1] 0.253269\n", + "\n", + "$MSE_list[[31]][[7]]\n", + "[1] 0.2900497\n", + "\n", + "$MSE_list[[31]][[8]]\n", + "[1] 0.2845196\n", + "\n", + "$MSE_list[[31]][[9]]\n", + "[1] 0.2388502\n", + "\n", + "$MSE_list[[31]][[10]]\n", + "[1] 0.1838158\n", + "\n", + "$MSE_list[[31]][[11]]\n", + "[1] 0.3848689\n", + "\n", + "$MSE_list[[31]][[12]]\n", + "[1] 0.3141747\n", + "\n", + "$MSE_list[[31]][[13]]\n", + "[1] 0.2741201\n", + "\n", + "$MSE_list[[31]][[14]]\n", + "[1] 0.2481274\n", + "\n", + "$MSE_list[[31]][[15]]\n", + "[1] 0.2893737\n", + "\n", + "$MSE_list[[31]][[16]]\n", + "[1] 0.3881922\n", + "\n", + "$MSE_list[[31]][[17]]\n", + "[1] 0.2411841\n", + "\n", + "$MSE_list[[31]][[18]]\n", + "[1] 0.2278302\n", + "\n", + "$MSE_list[[31]][[19]]\n", + "[1] 0.3231305\n", + "\n", + "$MSE_list[[31]][[20]]\n", + "[1] 0.2855314\n", + "\n", + "$MSE_list[[31]][[21]]\n", + "[1] 0.2582855\n", + "\n", + "$MSE_list[[31]][[22]]\n", + "[1] 0.2070332\n", + "\n", + "$MSE_list[[31]][[23]]\n", + "[1] 0.2470136\n", + "\n", + "$MSE_list[[31]][[24]]\n", + "[1] 0.2759627\n", + "\n", + "$MSE_list[[31]][[25]]\n", + "[1] 0.2106123\n", + "\n", + "$MSE_list[[31]][[26]]\n", + "[1] 0.3209656\n", + "\n", + "$MSE_list[[31]][[27]]\n", + "[1] 0.3079899\n", + "\n", + "$MSE_list[[31]][[28]]\n", + "[1] 0.3531122\n", + "\n", + "$MSE_list[[31]][[29]]\n", + "[1] 0.3367141\n", + "\n", + "$MSE_list[[31]][[30]]\n", + "[1] 0.2156064\n", + "\n", + "$MSE_list[[31]][[31]]\n", + "[1] 0.1410325\n", + "\n", + "$MSE_list[[31]][[32]]\n", + "[1] 0.2928196\n", + "\n", + "$MSE_list[[31]][[33]]\n", + "[1] 0.3695205\n", + "\n", + "$MSE_list[[31]][[34]]\n", + "[1] 0.05599395\n", + "\n", + "$MSE_list[[31]][[35]]\n", + "[1] 0.2307787\n", + "\n", + "$MSE_list[[31]][[36]]\n", + "[1] 0.2291533\n", + "\n", + "$MSE_list[[31]][[37]]\n", + "[1] 0.3851113\n", + "\n", + "$MSE_list[[31]][[38]]\n", + "[1] 0.2709829\n", + "\n", + "$MSE_list[[31]][[39]]\n", + "[1] 0.3211748\n", + "\n", + "$MSE_list[[31]][[40]]\n", + "[1] 0.2898406\n", + "\n", + "$MSE_list[[31]][[41]]\n", + "[1] 0.2606355\n", + "\n", + "$MSE_list[[31]][[42]]\n", + "[1] 0.2787196\n", + "\n", + "$MSE_list[[31]][[43]]\n", + "[1] 0.1678852\n", + "\n", + "$MSE_list[[31]][[44]]\n", + "[1] 0.3344648\n", + "\n", + "$MSE_list[[31]][[45]]\n", + "[1] 0.247457\n", + "\n", + "$MSE_list[[31]][[46]]\n", + "[1] 0.1813215\n", + "\n", + "$MSE_list[[31]][[47]]\n", + "[1] 0.166837\n", + "\n", + "$MSE_list[[31]][[48]]\n", + "[1] 0.3286214\n", + "\n", + "$MSE_list[[31]][[49]]\n", + "[1] 0.1874491\n", + "\n", + "$MSE_list[[31]][[50]]\n", + "[1] 0.3251052\n", + "\n", + "$MSE_list[[31]][[51]]\n", + "[1] 0.1833652\n", + "\n", + "$MSE_list[[31]][[52]]\n", + "[1] 0.3194943\n", + "\n", + "$MSE_list[[31]][[53]]\n", + "[1] 0.1988645\n", + "\n", + "$MSE_list[[31]][[54]]\n", + "[1] 0.2893078\n", + "\n", + "$MSE_list[[31]][[55]]\n", + "[1] 0.2778677\n", + "\n", + "$MSE_list[[31]][[56]]\n", + "[1] 0.2918791\n", + "\n", + "$MSE_list[[31]][[57]]\n", + "[1] 0.2253307\n", + "\n", + "$MSE_list[[31]][[58]]\n", + "[1] 0.2687428\n", + "\n", + "$MSE_list[[31]][[59]]\n", + "[1] 0.09540815\n", + "\n", + "$MSE_list[[31]][[60]]\n", + "[1] 0.1209006\n", + "\n", + "$MSE_list[[31]][[61]]\n", + "[1] 0.1970523\n", + "\n", + "$MSE_list[[31]][[62]]\n", + "[1] 0.2206082\n", + "\n", + "$MSE_list[[31]][[63]]\n", + "[1] 0.1376633\n", + "\n", + "$MSE_list[[31]][[64]]\n", + "[1] 0.1936258\n", + "\n", + "$MSE_list[[31]][[65]]\n", + "[1] 0.1930747\n", + "\n", + "$MSE_list[[31]][[66]]\n", + "[1] 0.2094471\n", + "\n", + "$MSE_list[[31]][[67]]\n", + "[1] 0.2555248\n", + "\n", + "$MSE_list[[31]][[68]]\n", + "[1] 0.209487\n", + "\n", + "$MSE_list[[31]][[69]]\n", + "[1] 0.2563323\n", + "\n", + "$MSE_list[[31]][[70]]\n", + "[1] 0.3319907\n", + "\n", + "$MSE_list[[31]][[71]]\n", + "[1] 0.1920091\n", + "\n", + "$MSE_list[[31]][[72]]\n", + "[1] 0.3563012\n", + "\n", + "$MSE_list[[31]][[73]]\n", + "[1] 0.1548109\n", + "\n", + "$MSE_list[[31]][[74]]\n", + "[1] 0.3409301\n", + "\n", + "$MSE_list[[31]][[75]]\n", + "[1] 0.2835161\n", + "\n", + "$MSE_list[[31]][[76]]\n", + "[1] 0.3308011\n", + "\n", + "$MSE_list[[31]][[77]]\n", + "[1] 0.3496666\n", + "\n", + "$MSE_list[[31]][[78]]\n", + "[1] 0.2819329\n", + "\n", + "$MSE_list[[31]][[79]]\n", + "[1] 0.372936\n", + "\n", + "$MSE_list[[31]][[80]]\n", + "[1] 0.04868857\n", + "\n", + "$MSE_list[[31]][[81]]\n", + "[1] 0.2284232\n", + "\n", + "$MSE_list[[31]][[82]]\n", + "[1] 0.3748322\n", + "\n", + "$MSE_list[[31]][[83]]\n", + "[1] 0.3165884\n", + "\n", + "$MSE_list[[31]][[84]]\n", + "[1] 0.3650535\n", + "\n", + "$MSE_list[[31]][[85]]\n", + "[1] 0.2241344\n", + "\n", + "$MSE_list[[31]][[86]]\n", + "[1] 0.3057534\n", + "\n", + "$MSE_list[[31]][[87]]\n", + "[1] 0.1237314\n", + "\n", + "$MSE_list[[31]][[88]]\n", + "[1] 0.2382347\n", + "\n", + "$MSE_list[[31]][[89]]\n", + "[1] 0.228509\n", + "\n", + "$MSE_list[[31]][[90]]\n", + "[1] 0.3574341\n", + "\n", + "$MSE_list[[31]][[91]]\n", + "[1] 0.2876839\n", + "\n", + "$MSE_list[[31]][[92]]\n", + "[1] 0.2380865\n", + "\n", + "$MSE_list[[31]][[93]]\n", + "[1] 0.2956326\n", + "\n", + "$MSE_list[[31]][[94]]\n", + "[1] 0.1949231\n", + "\n", + "$MSE_list[[31]][[95]]\n", + "[1] 0.2429116\n", + "\n", + "$MSE_list[[31]][[96]]\n", + "[1] 0.2615489\n", + "\n", + "$MSE_list[[31]][[97]]\n", + "[1] 0.2904272\n", + "\n", + "$MSE_list[[31]][[98]]\n", + "[1] 0.2103977\n", + "\n", + "$MSE_list[[31]][[99]]\n", + "[1] 0.2751518\n", + "\n", + "$MSE_list[[31]][[100]]\n", + "[1] 0.1450353\n", + "\n", + "\n", + "$MSE_list[[32]]\n", + "$MSE_list[[32]][[1]]\n", + "[1] 0.2787067\n", + "\n", + "$MSE_list[[32]][[2]]\n", + "[1] 0.3846009\n", + "\n", + "$MSE_list[[32]][[3]]\n", + "[1] 0.3377426\n", + "\n", + "$MSE_list[[32]][[4]]\n", + "[1] 0.2908073\n", + "\n", + "$MSE_list[[32]][[5]]\n", + "[1] 0.3724656\n", + "\n", + "$MSE_list[[32]][[6]]\n", + "[1] 0.1706386\n", + "\n", + "$MSE_list[[32]][[7]]\n", + "[1] 0.2705014\n", + "\n", + "$MSE_list[[32]][[8]]\n", + "[1] 0.2726138\n", + "\n", + "$MSE_list[[32]][[9]]\n", + "[1] 0.2698187\n", + "\n", + "$MSE_list[[32]][[10]]\n", + "[1] 0.2271948\n", + "\n", + "$MSE_list[[32]][[11]]\n", + "[1] 0.2539556\n", + "\n", + "$MSE_list[[32]][[12]]\n", + "[1] 0.1822282\n", + "\n", + "$MSE_list[[32]][[13]]\n", + "[1] 0.2847979\n", + "\n", + "$MSE_list[[32]][[14]]\n", + "[1] 0.1900492\n", + "\n", + "$MSE_list[[32]][[15]]\n", + "[1] 0.2042523\n", + "\n", + "$MSE_list[[32]][[16]]\n", + "[1] 0.1917039\n", + "\n", + "$MSE_list[[32]][[17]]\n", + "[1] 0.320346\n", + "\n", + "$MSE_list[[32]][[18]]\n", + "[1] 0.2254848\n", + "\n", + "$MSE_list[[32]][[19]]\n", + "[1] 0.3765264\n", + "\n", + "$MSE_list[[32]][[20]]\n", + "[1] 0.1501767\n", + "\n", + "$MSE_list[[32]][[21]]\n", + "[1] 0.3060269\n", + "\n", + "$MSE_list[[32]][[22]]\n", + "[1] 0.2018075\n", + "\n", + "$MSE_list[[32]][[23]]\n", + "[1] 0.2334498\n", + "\n", + "$MSE_list[[32]][[24]]\n", + "[1] 0.4322939\n", + "\n", + "$MSE_list[[32]][[25]]\n", + "[1] 0.2012731\n", + "\n", + "$MSE_list[[32]][[26]]\n", + "[1] 0.3774101\n", + "\n", + "$MSE_list[[32]][[27]]\n", + "[1] 0.3080733\n", + "\n", + "$MSE_list[[32]][[28]]\n", + "[1] 0.3082194\n", + "\n", + "$MSE_list[[32]][[29]]\n", + "[1] 0.3711244\n", + "\n", + "$MSE_list[[32]][[30]]\n", + "[1] 0.09896456\n", + "\n", + "$MSE_list[[32]][[31]]\n", + "[1] 0.05826309\n", + "\n", + "$MSE_list[[32]][[32]]\n", + "[1] 0.3174142\n", + "\n", + "$MSE_list[[32]][[33]]\n", + "[1] 0.1295168\n", + "\n", + "$MSE_list[[32]][[34]]\n", + "[1] 0.3927212\n", + "\n", + "$MSE_list[[32]][[35]]\n", + "[1] 0.2934327\n", + "\n", + "$MSE_list[[32]][[36]]\n", + "[1] 0.3908498\n", + "\n", + "$MSE_list[[32]][[37]]\n", + "[1] 0.2381337\n", + "\n", + "$MSE_list[[32]][[38]]\n", + "[1] 0.1199844\n", + "\n", + "$MSE_list[[32]][[39]]\n", + "[1] 0.1710583\n", + "\n", + "$MSE_list[[32]][[40]]\n", + "[1] 0.1508037\n", + "\n", + "$MSE_list[[32]][[41]]\n", + "[1] 0.2974244\n", + "\n", + "$MSE_list[[32]][[42]]\n", + "[1] 0.3209424\n", + "\n", + "$MSE_list[[32]][[43]]\n", + "[1] 0.2968362\n", + "\n", + "$MSE_list[[32]][[44]]\n", + "[1] 0.2245708\n", + "\n", + "$MSE_list[[32]][[45]]\n", + "[1] 0.1582976\n", + "\n", + "$MSE_list[[32]][[46]]\n", + "[1] 0.267668\n", + "\n", + "$MSE_list[[32]][[47]]\n", + "[1] 0.2907404\n", + "\n", + "$MSE_list[[32]][[48]]\n", + "[1] 0.2731747\n", + "\n", + "$MSE_list[[32]][[49]]\n", + "[1] 0.348959\n", + "\n", + "$MSE_list[[32]][[50]]\n", + "[1] 0.1937502\n", + "\n", + "$MSE_list[[32]][[51]]\n", + "[1] 0.2927015\n", + "\n", + "$MSE_list[[32]][[52]]\n", + "[1] 0.353774\n", + "\n", + "$MSE_list[[32]][[53]]\n", + "[1] 0.3467787\n", + "\n", + "$MSE_list[[32]][[54]]\n", + "[1] 0.1794158\n", + "\n", + "$MSE_list[[32]][[55]]\n", + "[1] 0.2465579\n", + "\n", + "$MSE_list[[32]][[56]]\n", + "[1] 0.3851184\n", + "\n", + "$MSE_list[[32]][[57]]\n", + "[1] 0.1946487\n", + "\n", + "$MSE_list[[32]][[58]]\n", + "[1] 0.3064924\n", + "\n", + "$MSE_list[[32]][[59]]\n", + "[1] 0.1829821\n", + "\n", + "$MSE_list[[32]][[60]]\n", + "[1] 0.2987364\n", + "\n", + "$MSE_list[[32]][[61]]\n", + "[1] 0.1515856\n", + "\n", + "$MSE_list[[32]][[62]]\n", + "[1] 0.2760778\n", + "\n", + "$MSE_list[[32]][[63]]\n", + "[1] 0.2358885\n", + "\n", + "$MSE_list[[32]][[64]]\n", + "[1] 0.3080993\n", + "\n", + "$MSE_list[[32]][[65]]\n", + "[1] 0.154252\n", + "\n", + "$MSE_list[[32]][[66]]\n", + "[1] 0.2988197\n", + "\n", + "$MSE_list[[32]][[67]]\n", + "[1] 0.2198494\n", + "\n", + "$MSE_list[[32]][[68]]\n", + "[1] 0.2574299\n", + "\n", + "$MSE_list[[32]][[69]]\n", + "[1] 0.3632075\n", + "\n", + "$MSE_list[[32]][[70]]\n", + "[1] 0.200075\n", + "\n", + "$MSE_list[[32]][[71]]\n", + "[1] 0.3136235\n", + "\n", + "$MSE_list[[32]][[72]]\n", + "[1] 0.3903591\n", + "\n", + "$MSE_list[[32]][[73]]\n", + "[1] 0.4590823\n", + "\n", + "$MSE_list[[32]][[74]]\n", + "[1] 0.3268209\n", + "\n", + "$MSE_list[[32]][[75]]\n", + "[1] 0.2739686\n", + "\n", + "$MSE_list[[32]][[76]]\n", + "[1] 0.3098771\n", + "\n", + "$MSE_list[[32]][[77]]\n", + "[1] 0.3404154\n", + "\n", + "$MSE_list[[32]][[78]]\n", + "[1] 0.230832\n", + "\n", + "$MSE_list[[32]][[79]]\n", + "[1] 0.3096338\n", + "\n", + "$MSE_list[[32]][[80]]\n", + "[1] 0.1110717\n", + "\n", + "$MSE_list[[32]][[81]]\n", + "[1] 0.1317239\n", + "\n", + "$MSE_list[[32]][[82]]\n", + "[1] 0.08988743\n", + "\n", + "$MSE_list[[32]][[83]]\n", + "[1] 0.265606\n", + "\n", + "$MSE_list[[32]][[84]]\n", + "[1] 0.2774775\n", + "\n", + "$MSE_list[[32]][[85]]\n", + "[1] 0.2509532\n", + "\n", + "$MSE_list[[32]][[86]]\n", + "[1] 0.3104904\n", + "\n", + "$MSE_list[[32]][[87]]\n", + "[1] 0.1809427\n", + "\n", + "$MSE_list[[32]][[88]]\n", + "[1] 0.261994\n", + "\n", + "$MSE_list[[32]][[89]]\n", + "[1] 0.1823306\n", + "\n", + "$MSE_list[[32]][[90]]\n", + "[1] 0.2438632\n", + "\n", + "$MSE_list[[32]][[91]]\n", + "[1] 0.2842719\n", + "\n", + "$MSE_list[[32]][[92]]\n", + "[1] 0.1808569\n", + "\n", + "$MSE_list[[32]][[93]]\n", + "[1] 0.337675\n", + "\n", + "$MSE_list[[32]][[94]]\n", + "[1] 0.4232809\n", + "\n", + "$MSE_list[[32]][[95]]\n", + "[1] 0.3827411\n", + "\n", + "$MSE_list[[32]][[96]]\n", + "[1] 0.1791167\n", + "\n", + "$MSE_list[[32]][[97]]\n", + "[1] 0.3715705\n", + "\n", + "$MSE_list[[32]][[98]]\n", + "[1] 0.180343\n", + "\n", + "$MSE_list[[32]][[99]]\n", + "[1] 0.2650902\n", + "\n", + "$MSE_list[[32]][[100]]\n", + "[1] 0.3467187\n", + "\n", + "\n", + "$MSE_list[[33]]\n", + "$MSE_list[[33]][[1]]\n", + "[1] 0.2217\n", + "\n", + "$MSE_list[[33]][[2]]\n", + "[1] 0.4230651\n", + "\n", + "$MSE_list[[33]][[3]]\n", + "[1] 0.1968771\n", + "\n", + "$MSE_list[[33]][[4]]\n", + "[1] 0.3963852\n", + "\n", + "$MSE_list[[33]][[5]]\n", + "[1] 0.2484936\n", + "\n", + "$MSE_list[[33]][[6]]\n", + "[1] 0.4183418\n", + "\n", + "$MSE_list[[33]][[7]]\n", + "[1] 0.4248552\n", + "\n", + "$MSE_list[[33]][[8]]\n", + "[1] 0.2905523\n", + "\n", + "$MSE_list[[33]][[9]]\n", + "[1] 0.4036151\n", + "\n", + "$MSE_list[[33]][[10]]\n", + "[1] 0.1686678\n", + "\n", + "$MSE_list[[33]][[11]]\n", + "[1] 0.4533698\n", + "\n", + "$MSE_list[[33]][[12]]\n", + "[1] 0.3250551\n", + "\n", + "$MSE_list[[33]][[13]]\n", + "[1] 0.2181212\n", + "\n", + "$MSE_list[[33]][[14]]\n", + "[1] 0.3758075\n", + "\n", + "$MSE_list[[33]][[15]]\n", + "[1] 0.219213\n", + "\n", + "$MSE_list[[33]][[16]]\n", + "[1] 0.2015989\n", + "\n", + "$MSE_list[[33]][[17]]\n", + "[1] 0.221802\n", + "\n", + "$MSE_list[[33]][[18]]\n", + "[1] 0.231114\n", + "\n", + "$MSE_list[[33]][[19]]\n", + "[1] 0.3205213\n", + "\n", + "$MSE_list[[33]][[20]]\n", + "[1] 0.3688505\n", + "\n", + "$MSE_list[[33]][[21]]\n", + "[1] 0.2428008\n", + "\n", + "$MSE_list[[33]][[22]]\n", + "[1] 0.1298965\n", + "\n", + "$MSE_list[[33]][[23]]\n", + "[1] 0.2839214\n", + "\n", + "$MSE_list[[33]][[24]]\n", + "[1] 0.1538851\n", + "\n", + "$MSE_list[[33]][[25]]\n", + "[1] 0.2031311\n", + "\n", + "$MSE_list[[33]][[26]]\n", + "[1] 0.2935716\n", + "\n", + "$MSE_list[[33]][[27]]\n", + "[1] 0.170003\n", + "\n", + "$MSE_list[[33]][[28]]\n", + "[1] 0.3140452\n", + "\n", + "$MSE_list[[33]][[29]]\n", + "[1] 0.2967518\n", + "\n", + "$MSE_list[[33]][[30]]\n", + "[1] 0.131425\n", + "\n", + "$MSE_list[[33]][[31]]\n", + "[1] 0.2815328\n", + "\n", + "$MSE_list[[33]][[32]]\n", + "[1] 0.2783691\n", + "\n", + "$MSE_list[[33]][[33]]\n", + "[1] 0.1552231\n", + "\n", + "$MSE_list[[33]][[34]]\n", + "[1] 0.25001\n", + "\n", + "$MSE_list[[33]][[35]]\n", + "[1] 0.3454592\n", + "\n", + "$MSE_list[[33]][[36]]\n", + "[1] 0.1338574\n", + "\n", + "$MSE_list[[33]][[37]]\n", + "[1] 0.1430424\n", + "\n", + "$MSE_list[[33]][[38]]\n", + "[1] 0.2504993\n", + "\n", + "$MSE_list[[33]][[39]]\n", + "[1] 0.3014154\n", + "\n", + "$MSE_list[[33]][[40]]\n", + "[1] 0.19729\n", + "\n", + "$MSE_list[[33]][[41]]\n", + "[1] 0.3636505\n", + "\n", + "$MSE_list[[33]][[42]]\n", + "[1] 0.2205608\n", + "\n", + "$MSE_list[[33]][[43]]\n", + "[1] 0.2356231\n", + "\n", + "$MSE_list[[33]][[44]]\n", + "[1] 0.2658224\n", + "\n", + "$MSE_list[[33]][[45]]\n", + "[1] 0.3401283\n", + "\n", + "$MSE_list[[33]][[46]]\n", + "[1] 0.2943449\n", + "\n", + "$MSE_list[[33]][[47]]\n", + "[1] 0.2220114\n", + "\n", + "$MSE_list[[33]][[48]]\n", + "[1] 0.3991223\n", + "\n", + "$MSE_list[[33]][[49]]\n", + "[1] 0.2213774\n", + "\n", + "$MSE_list[[33]][[50]]\n", + "[1] 0.3770147\n", + "\n", + "$MSE_list[[33]][[51]]\n", + "[1] 0.2129218\n", + "\n", + "$MSE_list[[33]][[52]]\n", + "[1] 0.1618675\n", + "\n", + "$MSE_list[[33]][[53]]\n", + "[1] 0.1237579\n", + "\n", + "$MSE_list[[33]][[54]]\n", + "[1] 0.1886495\n", + "\n", + "$MSE_list[[33]][[55]]\n", + "[1] 0.2261589\n", + "\n", + "$MSE_list[[33]][[56]]\n", + "[1] 0.3388438\n", + "\n", + "$MSE_list[[33]][[57]]\n", + "[1] 0.3048965\n", + "\n", + "$MSE_list[[33]][[58]]\n", + "[1] 0.3726528\n", + "\n", + "$MSE_list[[33]][[59]]\n", + "[1] 0.3035805\n", + "\n", + "$MSE_list[[33]][[60]]\n", + "[1] 0.1612842\n", + "\n", + "$MSE_list[[33]][[61]]\n", + "[1] 0.3054503\n", + "\n", + "$MSE_list[[33]][[62]]\n", + "[1] 0.3001052\n", + "\n", + "$MSE_list[[33]][[63]]\n", + "[1] 0.2080153\n", + "\n", + "$MSE_list[[33]][[64]]\n", + "[1] 0.1653358\n", + "\n", + "$MSE_list[[33]][[65]]\n", + "[1] 0.1920529\n", + "\n", + "$MSE_list[[33]][[66]]\n", + "[1] 0.3268213\n", + "\n", + "$MSE_list[[33]][[67]]\n", + "[1] 0.353386\n", + "\n", + "$MSE_list[[33]][[68]]\n", + "[1] 0.1690729\n", + "\n", + "$MSE_list[[33]][[69]]\n", + "[1] 0.258915\n", + "\n", + "$MSE_list[[33]][[70]]\n", + "[1] 0.09930578\n", + "\n", + "$MSE_list[[33]][[71]]\n", + "[1] 0.2989605\n", + "\n", + "$MSE_list[[33]][[72]]\n", + "[1] 0.2680067\n", + "\n", + "$MSE_list[[33]][[73]]\n", + "[1] 0.1927389\n", + "\n", + "$MSE_list[[33]][[74]]\n", + "[1] 0.1592463\n", + "\n", + "$MSE_list[[33]][[75]]\n", + "[1] 0.2864334\n", + "\n", + "$MSE_list[[33]][[76]]\n", + "[1] 0.3556209\n", + "\n", + "$MSE_list[[33]][[77]]\n", + "[1] 0.177292\n", + "\n", + "$MSE_list[[33]][[78]]\n", + "[1] 0.2984362\n", + "\n", + "$MSE_list[[33]][[79]]\n", + "[1] 0.1819829\n", + "\n", + "$MSE_list[[33]][[80]]\n", + "[1] 0.230218\n", + "\n", + "$MSE_list[[33]][[81]]\n", + "[1] 0.1450229\n", + "\n", + "$MSE_list[[33]][[82]]\n", + "[1] 0.2395989\n", + "\n", + "$MSE_list[[33]][[83]]\n", + "[1] 0.3607577\n", + "\n", + "$MSE_list[[33]][[84]]\n", + "[1] 0.3692911\n", + "\n", + "$MSE_list[[33]][[85]]\n", + "[1] 0.3344317\n", + "\n", + "$MSE_list[[33]][[86]]\n", + "[1] 0.2228881\n", + "\n", + "$MSE_list[[33]][[87]]\n", + "[1] 0.1925169\n", + "\n", + "$MSE_list[[33]][[88]]\n", + "[1] 0.2929258\n", + "\n", + "$MSE_list[[33]][[89]]\n", + "[1] 0.3831113\n", + "\n", + "$MSE_list[[33]][[90]]\n", + "[1] 0.2242583\n", + "\n", + "$MSE_list[[33]][[91]]\n", + "[1] 0.1770155\n", + "\n", + "$MSE_list[[33]][[92]]\n", + "[1] 0.1317955\n", + "\n", + "$MSE_list[[33]][[93]]\n", + "[1] 0.2303212\n", + "\n", + "$MSE_list[[33]][[94]]\n", + "[1] 0.2323067\n", + "\n", + "$MSE_list[[33]][[95]]\n", + "[1] 0.2165278\n", + "\n", + "$MSE_list[[33]][[96]]\n", + "[1] 0.2588938\n", + "\n", + "$MSE_list[[33]][[97]]\n", + "[1] 0.326383\n", + "\n", + "$MSE_list[[33]][[98]]\n", + "[1] 0.09288755\n", + "\n", + "$MSE_list[[33]][[99]]\n", + "[1] 0.3273897\n", + "\n", + "$MSE_list[[33]][[100]]\n", + "[1] 0.2478596\n", + "\n", + "\n", + "$MSE_list[[34]]\n", + "$MSE_list[[34]][[1]]\n", + "[1] 0.3658251\n", + "\n", + "$MSE_list[[34]][[2]]\n", + "[1] 0.2629568\n", + "\n", + "$MSE_list[[34]][[3]]\n", + "[1] 0.3100033\n", + "\n", + "$MSE_list[[34]][[4]]\n", + "[1] 0.2693386\n", + "\n", + "$MSE_list[[34]][[5]]\n", + "[1] 0.2379121\n", + "\n", + "$MSE_list[[34]][[6]]\n", + "[1] 0.2620713\n", + "\n", + "$MSE_list[[34]][[7]]\n", + "[1] 0.2262225\n", + "\n", + "$MSE_list[[34]][[8]]\n", + "[1] 0.05102383\n", + "\n", + "$MSE_list[[34]][[9]]\n", + "[1] 0.1408879\n", + "\n", + "$MSE_list[[34]][[10]]\n", + "[1] 0.4004513\n", + "\n", + "$MSE_list[[34]][[11]]\n", + "[1] 0.2377758\n", + "\n", + "$MSE_list[[34]][[12]]\n", + "[1] 0.2371458\n", + "\n", + "$MSE_list[[34]][[13]]\n", + "[1] 0.1575187\n", + "\n", + "$MSE_list[[34]][[14]]\n", + "[1] 0.1024433\n", + "\n", + "$MSE_list[[34]][[15]]\n", + "[1] 0.1353329\n", + "\n", + "$MSE_list[[34]][[16]]\n", + "[1] 0.2875538\n", + "\n", + "$MSE_list[[34]][[17]]\n", + "[1] 0.3100649\n", + "\n", + "$MSE_list[[34]][[18]]\n", + "[1] 0.2016684\n", + "\n", + "$MSE_list[[34]][[19]]\n", + "[1] 0.285207\n", + "\n", + "$MSE_list[[34]][[20]]\n", + "[1] 0.1600421\n", + "\n", + "$MSE_list[[34]][[21]]\n", + "[1] 0.2303547\n", + "\n", + "$MSE_list[[34]][[22]]\n", + "[1] 0.2679315\n", + "\n", + "$MSE_list[[34]][[23]]\n", + "[1] 0.2890422\n", + "\n", + "$MSE_list[[34]][[24]]\n", + "[1] 0.3934847\n", + "\n", + "$MSE_list[[34]][[25]]\n", + "[1] 0.1695245\n", + "\n", + "$MSE_list[[34]][[26]]\n", + "[1] 0.363604\n", + "\n", + "$MSE_list[[34]][[27]]\n", + "[1] 0.2215289\n", + "\n", + "$MSE_list[[34]][[28]]\n", + "[1] 0.2125981\n", + "\n", + "$MSE_list[[34]][[29]]\n", + "[1] 0.2338737\n", + "\n", + "$MSE_list[[34]][[30]]\n", + "[1] 0.3841514\n", + "\n", + "$MSE_list[[34]][[31]]\n", + "[1] 0.2852189\n", + "\n", + "$MSE_list[[34]][[32]]\n", + "[1] 0.4586094\n", + "\n", + "$MSE_list[[34]][[33]]\n", + "[1] 0.1596498\n", + "\n", + "$MSE_list[[34]][[34]]\n", + "[1] 0.2827525\n", + "\n", + "$MSE_list[[34]][[35]]\n", + "[1] 0.295912\n", + "\n", + "$MSE_list[[34]][[36]]\n", + "[1] 0.08915656\n", + "\n", + "$MSE_list[[34]][[37]]\n", + "[1] 0.3259184\n", + "\n", + "$MSE_list[[34]][[38]]\n", + "[1] 0.3204099\n", + "\n", + "$MSE_list[[34]][[39]]\n", + "[1] 0.288661\n", + "\n", + "$MSE_list[[34]][[40]]\n", + "[1] 0.09678626\n", + "\n", + "$MSE_list[[34]][[41]]\n", + "[1] 0.3378376\n", + "\n", + "$MSE_list[[34]][[42]]\n", + "[1] 0.2657059\n", + "\n", + "$MSE_list[[34]][[43]]\n", + "[1] 0.2337128\n", + "\n", + "$MSE_list[[34]][[44]]\n", + "[1] 0.3294672\n", + "\n", + "$MSE_list[[34]][[45]]\n", + "[1] 0.3000351\n", + "\n", + "$MSE_list[[34]][[46]]\n", + "[1] 0.2979058\n", + "\n", + "$MSE_list[[34]][[47]]\n", + "[1] 0.2520006\n", + "\n", + "$MSE_list[[34]][[48]]\n", + "[1] 0.1412695\n", + "\n", + "$MSE_list[[34]][[49]]\n", + "[1] 0.1870624\n", + "\n", + "$MSE_list[[34]][[50]]\n", + "[1] 0.1627536\n", + "\n", + "$MSE_list[[34]][[51]]\n", + "[1] 0.2863016\n", + "\n", + "$MSE_list[[34]][[52]]\n", + "[1] 0.3199846\n", + "\n", + "$MSE_list[[34]][[53]]\n", + "[1] 0.3702218\n", + "\n", + "$MSE_list[[34]][[54]]\n", + "[1] 0.2039352\n", + "\n", + "$MSE_list[[34]][[55]]\n", + "[1] 0.3096046\n", + "\n", + "$MSE_list[[34]][[56]]\n", + "[1] 0.2866575\n", + "\n", + "$MSE_list[[34]][[57]]\n", + "[1] 0.3013225\n", + "\n", + "$MSE_list[[34]][[58]]\n", + "[1] 0.2471143\n", + "\n", + "$MSE_list[[34]][[59]]\n", + "[1] 0.2099719\n", + "\n", + "$MSE_list[[34]][[60]]\n", + "[1] 0.2465429\n", + "\n", + "$MSE_list[[34]][[61]]\n", + "[1] 0.3003429\n", + "\n", + "$MSE_list[[34]][[62]]\n", + "[1] 0.1454204\n", + "\n", + "$MSE_list[[34]][[63]]\n", + "[1] 0.3359239\n", + "\n", + "$MSE_list[[34]][[64]]\n", + "[1] 0.1290086\n", + "\n", + "$MSE_list[[34]][[65]]\n", + "[1] 0.2519076\n", + "\n", + "$MSE_list[[34]][[66]]\n", + "[1] 0.324353\n", + "\n", + "$MSE_list[[34]][[67]]\n", + "[1] 0.3625519\n", + "\n", + "$MSE_list[[34]][[68]]\n", + "[1] 0.1626365\n", + "\n", + "$MSE_list[[34]][[69]]\n", + "[1] 0.3205813\n", + "\n", + "$MSE_list[[34]][[70]]\n", + "[1] 0.232065\n", + "\n", + "$MSE_list[[34]][[71]]\n", + "[1] 0.1780895\n", + "\n", + "$MSE_list[[34]][[72]]\n", + "[1] 0.2269793\n", + "\n", + "$MSE_list[[34]][[73]]\n", + "[1] 0.3019577\n", + "\n", + "$MSE_list[[34]][[74]]\n", + "[1] 0.3187729\n", + "\n", + "$MSE_list[[34]][[75]]\n", + "[1] 0.2090383\n", + "\n", + "$MSE_list[[34]][[76]]\n", + "[1] 0.1897192\n", + "\n", + "$MSE_list[[34]][[77]]\n", + "[1] 0.4181035\n", + "\n", + "$MSE_list[[34]][[78]]\n", + "[1] 0.32942\n", + "\n", + "$MSE_list[[34]][[79]]\n", + "[1] 0.3272635\n", + "\n", + "$MSE_list[[34]][[80]]\n", + "[1] 0.2789695\n", + "\n", + "$MSE_list[[34]][[81]]\n", + "[1] 0.2579509\n", + "\n", + "$MSE_list[[34]][[82]]\n", + "[1] 0.2717069\n", + "\n", + "$MSE_list[[34]][[83]]\n", + "[1] 0.3027507\n", + "\n", + "$MSE_list[[34]][[84]]\n", + "[1] 0.1890976\n", + "\n", + "$MSE_list[[34]][[85]]\n", + "[1] 0.4026134\n", + "\n", + "$MSE_list[[34]][[86]]\n", + "[1] 0.2121684\n", + "\n", + "$MSE_list[[34]][[87]]\n", + "[1] 0.2738995\n", + "\n", + "$MSE_list[[34]][[88]]\n", + "[1] 0.2508983\n", + "\n", + "$MSE_list[[34]][[89]]\n", + "[1] 0.3744414\n", + "\n", + "$MSE_list[[34]][[90]]\n", + "[1] 0.3009721\n", + "\n", + "$MSE_list[[34]][[91]]\n", + "[1] 0.2787789\n", + "\n", + "$MSE_list[[34]][[92]]\n", + "[1] 0.1982867\n", + "\n", + "$MSE_list[[34]][[93]]\n", + "[1] 0.4057083\n", + "\n", + "$MSE_list[[34]][[94]]\n", + "[1] 0.260394\n", + "\n", + "$MSE_list[[34]][[95]]\n", + "[1] 0.3063979\n", + "\n", + "$MSE_list[[34]][[96]]\n", + "[1] 0.255041\n", + "\n", + "$MSE_list[[34]][[97]]\n", + "[1] 0.2632487\n", + "\n", + "$MSE_list[[34]][[98]]\n", + "[1] 0.3249871\n", + "\n", + "$MSE_list[[34]][[99]]\n", + "[1] 0.3089522\n", + "\n", + "$MSE_list[[34]][[100]]\n", + "[1] 0.09208413\n", + "\n", + "\n", + "$MSE_list[[35]]\n", + "$MSE_list[[35]][[1]]\n", + "[1] 0.1904111\n", + "\n", + "$MSE_list[[35]][[2]]\n", + "[1] 0.3242566\n", + "\n", + "$MSE_list[[35]][[3]]\n", + "[1] 0.3737032\n", + "\n", + "$MSE_list[[35]][[4]]\n", + "[1] 0.2914024\n", + "\n", + "$MSE_list[[35]][[5]]\n", + "[1] 0.3125933\n", + "\n", + "$MSE_list[[35]][[6]]\n", + "[1] 0.2438965\n", + "\n", + "$MSE_list[[35]][[7]]\n", + "[1] 0.3510227\n", + "\n", + "$MSE_list[[35]][[8]]\n", + "[1] 0.4119706\n", + "\n", + "$MSE_list[[35]][[9]]\n", + "[1] 0.3397171\n", + "\n", + "$MSE_list[[35]][[10]]\n", + "[1] 0.1843695\n", + "\n", + "$MSE_list[[35]][[11]]\n", + "[1] 0.3247269\n", + "\n", + "$MSE_list[[35]][[12]]\n", + "[1] 0.2733342\n", + "\n", + "$MSE_list[[35]][[13]]\n", + "[1] 0.3550697\n", + "\n", + "$MSE_list[[35]][[14]]\n", + "[1] 0.3758348\n", + "\n", + "$MSE_list[[35]][[15]]\n", + "[1] 0.3652565\n", + "\n", + "$MSE_list[[35]][[16]]\n", + "[1] 0.3422496\n", + "\n", + "$MSE_list[[35]][[17]]\n", + "[1] 0.4334667\n", + "\n", + "$MSE_list[[35]][[18]]\n", + "[1] 0.3448876\n", + "\n", + "$MSE_list[[35]][[19]]\n", + "[1] 0.3162069\n", + "\n", + "$MSE_list[[35]][[20]]\n", + "[1] 0.354097\n", + "\n", + "$MSE_list[[35]][[21]]\n", + "[1] 0.3655931\n", + "\n", + "$MSE_list[[35]][[22]]\n", + "[1] 0.268208\n", + "\n", + "$MSE_list[[35]][[23]]\n", + "[1] 0.4177731\n", + "\n", + "$MSE_list[[35]][[24]]\n", + "[1] 0.1605636\n", + "\n", + "$MSE_list[[35]][[25]]\n", + "[1] 0.4118038\n", + "\n", + "$MSE_list[[35]][[26]]\n", + "[1] 0.2904215\n", + "\n", + "$MSE_list[[35]][[27]]\n", + "[1] 0.3423614\n", + "\n", + "$MSE_list[[35]][[28]]\n", + "[1] 0.3024777\n", + "\n", + "$MSE_list[[35]][[29]]\n", + "[1] 0.3634875\n", + "\n", + "$MSE_list[[35]][[30]]\n", + "[1] 0.3975991\n", + "\n", + "$MSE_list[[35]][[31]]\n", + "[1] 0.2043632\n", + "\n", + "$MSE_list[[35]][[32]]\n", + "[1] 0.3583597\n", + "\n", + "$MSE_list[[35]][[33]]\n", + "[1] 0.2982921\n", + "\n", + "$MSE_list[[35]][[34]]\n", + "[1] 0.2833405\n", + "\n", + "$MSE_list[[35]][[35]]\n", + "[1] 0.4665017\n", + "\n", + "$MSE_list[[35]][[36]]\n", + "[1] 0.3533975\n", + "\n", + "$MSE_list[[35]][[37]]\n", + "[1] 0.2251364\n", + "\n", + "$MSE_list[[35]][[38]]\n", + "[1] 0.2885765\n", + "\n", + "$MSE_list[[35]][[39]]\n", + "[1] 0.4060631\n", + "\n", + "$MSE_list[[35]][[40]]\n", + "[1] 0.2498323\n", + "\n", + "$MSE_list[[35]][[41]]\n", + "[1] 0.1370974\n", + "\n", + "$MSE_list[[35]][[42]]\n", + "[1] 0.3190476\n", + "\n", + "$MSE_list[[35]][[43]]\n", + "[1] 0.1970069\n", + "\n", + "$MSE_list[[35]][[44]]\n", + "[1] 0.1598495\n", + "\n", + "$MSE_list[[35]][[45]]\n", + "[1] 0.3599407\n", + "\n", + "$MSE_list[[35]][[46]]\n", + "[1] 0.3065399\n", + "\n", + "$MSE_list[[35]][[47]]\n", + "[1] 0.2149062\n", + "\n", + "$MSE_list[[35]][[48]]\n", + "[1] 0.2355778\n", + "\n", + "$MSE_list[[35]][[49]]\n", + "[1] 0.2958451\n", + "\n", + "$MSE_list[[35]][[50]]\n", + "[1] 0.1373753\n", + "\n", + "$MSE_list[[35]][[51]]\n", + "[1] 0.4594652\n", + "\n", + "$MSE_list[[35]][[52]]\n", + "[1] 0.2885782\n", + "\n", + "$MSE_list[[35]][[53]]\n", + "[1] 0.3105683\n", + "\n", + "$MSE_list[[35]][[54]]\n", + "[1] 0.2422241\n", + "\n", + "$MSE_list[[35]][[55]]\n", + "[1] 0.2764031\n", + "\n", + "$MSE_list[[35]][[56]]\n", + "[1] 0.2499142\n", + "\n", + "$MSE_list[[35]][[57]]\n", + "[1] 0.1301887\n", + "\n", + "$MSE_list[[35]][[58]]\n", + "[1] 0.1960616\n", + "\n", + "$MSE_list[[35]][[59]]\n", + "[1] 0.3609232\n", + "\n", + "$MSE_list[[35]][[60]]\n", + "[1] 0.2957723\n", + "\n", + "$MSE_list[[35]][[61]]\n", + "[1] 0.3710917\n", + "\n", + "$MSE_list[[35]][[62]]\n", + "[1] 0.2807447\n", + "\n", + "$MSE_list[[35]][[63]]\n", + "[1] 0.3434382\n", + "\n", + "$MSE_list[[35]][[64]]\n", + "[1] 0.270645\n", + "\n", + "$MSE_list[[35]][[65]]\n", + "[1] 0.2535082\n", + "\n", + "$MSE_list[[35]][[66]]\n", + "[1] 0.3329609\n", + "\n", + "$MSE_list[[35]][[67]]\n", + "[1] 0.4055047\n", + "\n", + "$MSE_list[[35]][[68]]\n", + "[1] 0.1847387\n", + "\n", + "$MSE_list[[35]][[69]]\n", + "[1] 0.2302526\n", + "\n", + "$MSE_list[[35]][[70]]\n", + "[1] 0.2253101\n", + "\n", + "$MSE_list[[35]][[71]]\n", + "[1] 0.375237\n", + "\n", + "$MSE_list[[35]][[72]]\n", + "[1] 0.342548\n", + "\n", + "$MSE_list[[35]][[73]]\n", + "[1] 0.3518498\n", + "\n", + "$MSE_list[[35]][[74]]\n", + "[1] 0.2942646\n", + "\n", + "$MSE_list[[35]][[75]]\n", + "[1] 0.1865687\n", + "\n", + "$MSE_list[[35]][[76]]\n", + "[1] 0.4121777\n", + "\n", + "$MSE_list[[35]][[77]]\n", + "[1] 0.3805655\n", + "\n", + "$MSE_list[[35]][[78]]\n", + "[1] 0.2803942\n", + "\n", + "$MSE_list[[35]][[79]]\n", + "[1] 0.2981263\n", + "\n", + "$MSE_list[[35]][[80]]\n", + "[1] 0.2888656\n", + "\n", + "$MSE_list[[35]][[81]]\n", + "[1] 0.3718681\n", + "\n", + "$MSE_list[[35]][[82]]\n", + "[1] 0.2570454\n", + "\n", + "$MSE_list[[35]][[83]]\n", + "[1] 0.332561\n", + "\n", + "$MSE_list[[35]][[84]]\n", + "[1] 0.350824\n", + "\n", + "$MSE_list[[35]][[85]]\n", + "[1] 0.2784373\n", + "\n", + "$MSE_list[[35]][[86]]\n", + "[1] 0.4362693\n", + "\n", + "$MSE_list[[35]][[87]]\n", + "[1] 0.266307\n", + "\n", + "$MSE_list[[35]][[88]]\n", + "[1] 0.4165516\n", + "\n", + "$MSE_list[[35]][[89]]\n", + "[1] 0.2930774\n", + "\n", + "$MSE_list[[35]][[90]]\n", + "[1] 0.2887301\n", + "\n", + "$MSE_list[[35]][[91]]\n", + "[1] 0.4072499\n", + "\n", + "$MSE_list[[35]][[92]]\n", + "[1] 0.2074882\n", + "\n", + "$MSE_list[[35]][[93]]\n", + "[1] 0.2962207\n", + "\n", + "$MSE_list[[35]][[94]]\n", + "[1] 0.3059943\n", + "\n", + "$MSE_list[[35]][[95]]\n", + "[1] 0.333063\n", + "\n", + "$MSE_list[[35]][[96]]\n", + "[1] 0.253917\n", + "\n", + "$MSE_list[[35]][[97]]\n", + "[1] 0.2528561\n", + "\n", + "$MSE_list[[35]][[98]]\n", + "[1] 0.23662\n", + "\n", + "$MSE_list[[35]][[99]]\n", + "[1] 0.2012991\n", + "\n", + "$MSE_list[[35]][[100]]\n", + "[1] 0.277644\n", + "\n", + "\n", + "$MSE_list[[36]]\n", + "$MSE_list[[36]][[1]]\n", + "[1] 0.4053704\n", + "\n", + "$MSE_list[[36]][[2]]\n", + "[1] 0.32807\n", + "\n", + "$MSE_list[[36]][[3]]\n", + "[1] 0.3224913\n", + "\n", + "$MSE_list[[36]][[4]]\n", + "[1] 0.2878524\n", + "\n", + "$MSE_list[[36]][[5]]\n", + "[1] 0.3079737\n", + "\n", + "$MSE_list[[36]][[6]]\n", + "[1] 0.2797485\n", + "\n", + "$MSE_list[[36]][[7]]\n", + "[1] 0.2688856\n", + "\n", + "$MSE_list[[36]][[8]]\n", + "[1] 0.3032168\n", + "\n", + "$MSE_list[[36]][[9]]\n", + "[1] 0.1491534\n", + "\n", + "$MSE_list[[36]][[10]]\n", + "[1] 0.1455862\n", + "\n", + "$MSE_list[[36]][[11]]\n", + "[1] 0.2568902\n", + "\n", + "$MSE_list[[36]][[12]]\n", + "[1] 0.3337025\n", + "\n", + "$MSE_list[[36]][[13]]\n", + "[1] 0.1368737\n", + "\n", + "$MSE_list[[36]][[14]]\n", + "[1] 0.2327103\n", + "\n", + "$MSE_list[[36]][[15]]\n", + "[1] 0.2834427\n", + "\n", + "$MSE_list[[36]][[16]]\n", + "[1] 0.3490479\n", + "\n", + "$MSE_list[[36]][[17]]\n", + "[1] 0.3743891\n", + "\n", + "$MSE_list[[36]][[18]]\n", + "[1] 0.232089\n", + "\n", + "$MSE_list[[36]][[19]]\n", + "[1] 0.3481495\n", + "\n", + "$MSE_list[[36]][[20]]\n", + "[1] 0.191528\n", + "\n", + "$MSE_list[[36]][[21]]\n", + "[1] 0.1427547\n", + "\n", + "$MSE_list[[36]][[22]]\n", + "[1] 0.2306472\n", + "\n", + "$MSE_list[[36]][[23]]\n", + "[1] 0.3783838\n", + "\n", + "$MSE_list[[36]][[24]]\n", + "[1] 0.2508966\n", + "\n", + "$MSE_list[[36]][[25]]\n", + "[1] 0.3010025\n", + "\n", + "$MSE_list[[36]][[26]]\n", + "[1] 0.1722592\n", + "\n", + "$MSE_list[[36]][[27]]\n", + "[1] 0.2053021\n", + "\n", + "$MSE_list[[36]][[28]]\n", + "[1] 0.1822335\n", + "\n", + "$MSE_list[[36]][[29]]\n", + "[1] 0.1932109\n", + "\n", + "$MSE_list[[36]][[30]]\n", + "[1] 0.2115584\n", + "\n", + "$MSE_list[[36]][[31]]\n", + "[1] 0.1901369\n", + "\n", + "$MSE_list[[36]][[32]]\n", + "[1] 0.1937195\n", + "\n", + "$MSE_list[[36]][[33]]\n", + "[1] 0.1670391\n", + "\n", + "$MSE_list[[36]][[34]]\n", + "[1] 0.2106307\n", + "\n", + "$MSE_list[[36]][[35]]\n", + "[1] 0.2176787\n", + "\n", + "$MSE_list[[36]][[36]]\n", + "[1] 0.1966727\n", + "\n", + "$MSE_list[[36]][[37]]\n", + "[1] 0.3271963\n", + "\n", + "$MSE_list[[36]][[38]]\n", + "[1] 0.196657\n", + "\n", + "$MSE_list[[36]][[39]]\n", + "[1] 0.3206899\n", + "\n", + "$MSE_list[[36]][[40]]\n", + "[1] 0.2834479\n", + "\n", + "$MSE_list[[36]][[41]]\n", + "[1] 0.2657657\n", + "\n", + "$MSE_list[[36]][[42]]\n", + "[1] 0.1622165\n", + "\n", + "$MSE_list[[36]][[43]]\n", + "[1] 0.2782192\n", + "\n", + "$MSE_list[[36]][[44]]\n", + "[1] 0.2294004\n", + "\n", + "$MSE_list[[36]][[45]]\n", + "[1] 0.2521197\n", + "\n", + "$MSE_list[[36]][[46]]\n", + "[1] 0.2681218\n", + "\n", + "$MSE_list[[36]][[47]]\n", + "[1] 0.4259337\n", + "\n", + "$MSE_list[[36]][[48]]\n", + "[1] 0.1597117\n", + "\n", + "$MSE_list[[36]][[49]]\n", + "[1] 0.1863915\n", + "\n", + "$MSE_list[[36]][[50]]\n", + "[1] 0.2430132\n", + "\n", + "$MSE_list[[36]][[51]]\n", + "[1] 0.1459834\n", + "\n", + "$MSE_list[[36]][[52]]\n", + "[1] 0.2156908\n", + "\n", + "$MSE_list[[36]][[53]]\n", + "[1] 0.2487179\n", + "\n", + "$MSE_list[[36]][[54]]\n", + "[1] 0.207757\n", + "\n", + "$MSE_list[[36]][[55]]\n", + "[1] 0.3403444\n", + "\n", + "$MSE_list[[36]][[56]]\n", + "[1] 0.1670369\n", + "\n", + "$MSE_list[[36]][[57]]\n", + "[1] 0.1949399\n", + "\n", + "$MSE_list[[36]][[58]]\n", + "[1] 0.2031066\n", + "\n", + "$MSE_list[[36]][[59]]\n", + "[1] 0.2347429\n", + "\n", + "$MSE_list[[36]][[60]]\n", + "[1] 0.1849612\n", + "\n", + "$MSE_list[[36]][[61]]\n", + "[1] 0.3355824\n", + "\n", + "$MSE_list[[36]][[62]]\n", + "[1] 0.1742118\n", + "\n", + "$MSE_list[[36]][[63]]\n", + "[1] 0.1923062\n", + "\n", + "$MSE_list[[36]][[64]]\n", + "[1] 0.08981619\n", + "\n", + "$MSE_list[[36]][[65]]\n", + "[1] 0.2061523\n", + "\n", + "$MSE_list[[36]][[66]]\n", + "[1] 0.3188738\n", + "\n", + "$MSE_list[[36]][[67]]\n", + "[1] 0.3111353\n", + "\n", + "$MSE_list[[36]][[68]]\n", + "[1] 0.2053961\n", + "\n", + "$MSE_list[[36]][[69]]\n", + "[1] 0.2351959\n", + "\n", + "$MSE_list[[36]][[70]]\n", + "[1] 0.2433348\n", + "\n", + "$MSE_list[[36]][[71]]\n", + "[1] 0.2310132\n", + "\n", + "$MSE_list[[36]][[72]]\n", + "[1] 0.2055407\n", + "\n", + "$MSE_list[[36]][[73]]\n", + "[1] 0.1715904\n", + "\n", + "$MSE_list[[36]][[74]]\n", + "[1] 0.2321349\n", + "\n", + "$MSE_list[[36]][[75]]\n", + "[1] 0.2835019\n", + "\n", + "$MSE_list[[36]][[76]]\n", + "[1] 0.2937369\n", + "\n", + "$MSE_list[[36]][[77]]\n", + "[1] 0.316945\n", + "\n", + "$MSE_list[[36]][[78]]\n", + "[1] 0.2108002\n", + "\n", + "$MSE_list[[36]][[79]]\n", + "[1] 0.1716841\n", + "\n", + "$MSE_list[[36]][[80]]\n", + "[1] 0.3448902\n", + "\n", + "$MSE_list[[36]][[81]]\n", + "[1] 0.281152\n", + "\n", + "$MSE_list[[36]][[82]]\n", + "[1] 0.154886\n", + "\n", + "$MSE_list[[36]][[83]]\n", + "[1] 0.1425519\n", + "\n", + "$MSE_list[[36]][[84]]\n", + "[1] 0.2113443\n", + "\n", + "$MSE_list[[36]][[85]]\n", + "[1] 0.2801606\n", + "\n", + "$MSE_list[[36]][[86]]\n", + "[1] 0.4006896\n", + "\n", + "$MSE_list[[36]][[87]]\n", + "[1] 0.1663859\n", + "\n", + "$MSE_list[[36]][[88]]\n", + "[1] 0.2180116\n", + "\n", + "$MSE_list[[36]][[89]]\n", + "[1] 0.345421\n", + "\n", + "$MSE_list[[36]][[90]]\n", + "[1] 0.2602771\n", + "\n", + "$MSE_list[[36]][[91]]\n", + "[1] 0.2339182\n", + "\n", + "$MSE_list[[36]][[92]]\n", + "[1] 0.1684983\n", + "\n", + "$MSE_list[[36]][[93]]\n", + "[1] 0.3105261\n", + "\n", + "$MSE_list[[36]][[94]]\n", + "[1] 0.2589359\n", + "\n", + "$MSE_list[[36]][[95]]\n", + "[1] 0.2431918\n", + "\n", + "$MSE_list[[36]][[96]]\n", + "[1] 0.2522023\n", + "\n", + "$MSE_list[[36]][[97]]\n", + "[1] 0.1665883\n", + "\n", + "$MSE_list[[36]][[98]]\n", + "[1] 0.1946918\n", + "\n", + "$MSE_list[[36]][[99]]\n", + "[1] 0.3575323\n", + "\n", + "$MSE_list[[36]][[100]]\n", + "[1] 0.2167341\n", + "\n", + "\n", + "$MSE_list[[37]]\n", + "$MSE_list[[37]][[1]]\n", + "[1] 0.1408138\n", + "\n", + "$MSE_list[[37]][[2]]\n", + "[1] 0.1379448\n", + "\n", + "$MSE_list[[37]][[3]]\n", + "[1] 0.1996035\n", + "\n", + "$MSE_list[[37]][[4]]\n", + "[1] 0.3302759\n", + "\n", + "$MSE_list[[37]][[5]]\n", + "[1] 0.2693165\n", + "\n", + "$MSE_list[[37]][[6]]\n", + "[1] 0.3682918\n", + "\n", + "$MSE_list[[37]][[7]]\n", + "[1] 0.2624693\n", + "\n", + "$MSE_list[[37]][[8]]\n", + "[1] 0.2769499\n", + "\n", + "$MSE_list[[37]][[9]]\n", + "[1] 0.2638031\n", + "\n", + "$MSE_list[[37]][[10]]\n", + "[1] 0.2532636\n", + "\n", + "$MSE_list[[37]][[11]]\n", + "[1] 0.2312967\n", + "\n", + "$MSE_list[[37]][[12]]\n", + "[1] 0.1449232\n", + "\n", + "$MSE_list[[37]][[13]]\n", + "[1] 0.2505058\n", + "\n", + "$MSE_list[[37]][[14]]\n", + "[1] 0.2347967\n", + "\n", + "$MSE_list[[37]][[15]]\n", + "[1] 0.2163702\n", + "\n", + "$MSE_list[[37]][[16]]\n", + "[1] 0.1623741\n", + "\n", + "$MSE_list[[37]][[17]]\n", + "[1] 0.295402\n", + "\n", + "$MSE_list[[37]][[18]]\n", + "[1] 0.1693609\n", + "\n", + "$MSE_list[[37]][[19]]\n", + "[1] 0.2151454\n", + "\n", + "$MSE_list[[37]][[20]]\n", + "[1] 0.2304444\n", + "\n", + "$MSE_list[[37]][[21]]\n", + "[1] 0.3048446\n", + "\n", + "$MSE_list[[37]][[22]]\n", + "[1] 0.342335\n", + "\n", + "$MSE_list[[37]][[23]]\n", + "[1] 0.2799481\n", + "\n", + "$MSE_list[[37]][[24]]\n", + "[1] 0.09641358\n", + "\n", + "$MSE_list[[37]][[25]]\n", + "[1] 0.06510654\n", + "\n", + "$MSE_list[[37]][[26]]\n", + "[1] 0.2760639\n", + "\n", + "$MSE_list[[37]][[27]]\n", + "[1] 0.2188525\n", + "\n", + "$MSE_list[[37]][[28]]\n", + "[1] 0.2161687\n", + "\n", + "$MSE_list[[37]][[29]]\n", + "[1] 0.2688296\n", + "\n", + "$MSE_list[[37]][[30]]\n", + "[1] 0.205375\n", + "\n", + "$MSE_list[[37]][[31]]\n", + "[1] 0.2186007\n", + "\n", + "$MSE_list[[37]][[32]]\n", + "[1] 0.2813011\n", + "\n", + "$MSE_list[[37]][[33]]\n", + "[1] 0.2727453\n", + "\n", + "$MSE_list[[37]][[34]]\n", + "[1] 0.09535269\n", + "\n", + "$MSE_list[[37]][[35]]\n", + "[1] 0.3978017\n", + "\n", + "$MSE_list[[37]][[36]]\n", + "[1] 0.2207097\n", + "\n", + "$MSE_list[[37]][[37]]\n", + "[1] 0.1617273\n", + "\n", + "$MSE_list[[37]][[38]]\n", + "[1] 0.3665894\n", + "\n", + "$MSE_list[[37]][[39]]\n", + "[1] 0.3321529\n", + "\n", + "$MSE_list[[37]][[40]]\n", + "[1] 0.1220167\n", + "\n", + "$MSE_list[[37]][[41]]\n", + "[1] 0.2611242\n", + "\n", + "$MSE_list[[37]][[42]]\n", + "[1] 0.2000798\n", + "\n", + "$MSE_list[[37]][[43]]\n", + "[1] 0.3191148\n", + "\n", + "$MSE_list[[37]][[44]]\n", + "[1] 0.2122524\n", + "\n", + "$MSE_list[[37]][[45]]\n", + "[1] 0.3904609\n", + "\n", + "$MSE_list[[37]][[46]]\n", + "[1] 0.2429713\n", + "\n", + "$MSE_list[[37]][[47]]\n", + "[1] 0.2193372\n", + "\n", + "$MSE_list[[37]][[48]]\n", + "[1] 0.2719659\n", + "\n", + "$MSE_list[[37]][[49]]\n", + "[1] 0.2289756\n", + "\n", + "$MSE_list[[37]][[50]]\n", + "[1] 0.1995557\n", + "\n", + "$MSE_list[[37]][[51]]\n", + "[1] 0.2506837\n", + "\n", + "$MSE_list[[37]][[52]]\n", + "[1] 0.2742762\n", + "\n", + "$MSE_list[[37]][[53]]\n", + "[1] 0.1648118\n", + "\n", + "$MSE_list[[37]][[54]]\n", + "[1] 0.1275102\n", + "\n", + "$MSE_list[[37]][[55]]\n", + "[1] 0.1204961\n", + "\n", + "$MSE_list[[37]][[56]]\n", + "[1] 0.1491052\n", + "\n", + "$MSE_list[[37]][[57]]\n", + "[1] 0.2446386\n", + "\n", + "$MSE_list[[37]][[58]]\n", + "[1] 0.3229911\n", + "\n", + "$MSE_list[[37]][[59]]\n", + "[1] 0.06728426\n", + "\n", + "$MSE_list[[37]][[60]]\n", + "[1] 0.2870376\n", + "\n", + "$MSE_list[[37]][[61]]\n", + "[1] 0.2559259\n", + "\n", + "$MSE_list[[37]][[62]]\n", + "[1] 0.2040509\n", + "\n", + "$MSE_list[[37]][[63]]\n", + "[1] 0.1853882\n", + "\n", + "$MSE_list[[37]][[64]]\n", + "[1] 0.2059467\n", + "\n", + "$MSE_list[[37]][[65]]\n", + "[1] 0.291077\n", + "\n", + "$MSE_list[[37]][[66]]\n", + "[1] 0.1539909\n", + "\n", + "$MSE_list[[37]][[67]]\n", + "[1] 0.1315804\n", + "\n", + "$MSE_list[[37]][[68]]\n", + "[1] 0.3467701\n", + "\n", + "$MSE_list[[37]][[69]]\n", + "[1] 0.3178327\n", + "\n", + "$MSE_list[[37]][[70]]\n", + "[1] 0.2666173\n", + "\n", + "$MSE_list[[37]][[71]]\n", + "[1] 0.4281615\n", + "\n", + "$MSE_list[[37]][[72]]\n", + "[1] 0.294651\n", + "\n", + "$MSE_list[[37]][[73]]\n", + "[1] 0.2938784\n", + "\n", + "$MSE_list[[37]][[74]]\n", + "[1] 0.3312685\n", + "\n", + "$MSE_list[[37]][[75]]\n", + "[1] 0.2710716\n", + "\n", + "$MSE_list[[37]][[76]]\n", + "[1] 0.2994384\n", + "\n", + "$MSE_list[[37]][[77]]\n", + "[1] 0.2437651\n", + "\n", + "$MSE_list[[37]][[78]]\n", + "[1] 0.3586931\n", + "\n", + "$MSE_list[[37]][[79]]\n", + "[1] 0.3487866\n", + "\n", + "$MSE_list[[37]][[80]]\n", + "[1] 0.2362637\n", + "\n", + "$MSE_list[[37]][[81]]\n", + "[1] 0.4199233\n", + "\n", + "$MSE_list[[37]][[82]]\n", + "[1] 0.267352\n", + "\n", + "$MSE_list[[37]][[83]]\n", + "[1] 0.1416139\n", + "\n", + "$MSE_list[[37]][[84]]\n", + "[1] 0.2006176\n", + "\n", + "$MSE_list[[37]][[85]]\n", + "[1] 0.3013554\n", + "\n", + "$MSE_list[[37]][[86]]\n", + "[1] 0.3035325\n", + "\n", + "$MSE_list[[37]][[87]]\n", + "[1] 0.1552605\n", + "\n", + "$MSE_list[[37]][[88]]\n", + "[1] 0.2070552\n", + "\n", + "$MSE_list[[37]][[89]]\n", + "[1] 0.204114\n", + "\n", + "$MSE_list[[37]][[90]]\n", + "[1] 0.2756036\n", + "\n", + "$MSE_list[[37]][[91]]\n", + "[1] 0.1876247\n", + "\n", + "$MSE_list[[37]][[92]]\n", + "[1] 0.248189\n", + "\n", + "$MSE_list[[37]][[93]]\n", + "[1] 0.2900912\n", + "\n", + "$MSE_list[[37]][[94]]\n", + "[1] 0.2442381\n", + "\n", + "$MSE_list[[37]][[95]]\n", + "[1] 0.3929821\n", + "\n", + "$MSE_list[[37]][[96]]\n", + "[1] 0.217589\n", + "\n", + "$MSE_list[[37]][[97]]\n", + "[1] 0.2855262\n", + "\n", + "$MSE_list[[37]][[98]]\n", + "[1] 0.1617998\n", + "\n", + "$MSE_list[[37]][[99]]\n", + "[1] 0.2833963\n", + "\n", + "$MSE_list[[37]][[100]]\n", + "[1] 0.3084503\n", + "\n", + "\n", + "$MSE_list[[38]]\n", + "$MSE_list[[38]][[1]]\n", + "[1] 0.3110086\n", + "\n", + "$MSE_list[[38]][[2]]\n", + "[1] 0.2176455\n", + "\n", + "$MSE_list[[38]][[3]]\n", + "[1] 0.2021126\n", + "\n", + "$MSE_list[[38]][[4]]\n", + "[1] 0.140866\n", + "\n", + "$MSE_list[[38]][[5]]\n", + "[1] 0.2669382\n", + "\n", + "$MSE_list[[38]][[6]]\n", + "[1] 0.2544175\n", + "\n", + "$MSE_list[[38]][[7]]\n", + "[1] 0.2790623\n", + "\n", + "$MSE_list[[38]][[8]]\n", + "[1] 0.2307048\n", + "\n", + "$MSE_list[[38]][[9]]\n", + "[1] 0.2059613\n", + "\n", + "$MSE_list[[38]][[10]]\n", + "[1] 0.2710402\n", + "\n", + "$MSE_list[[38]][[11]]\n", + "[1] 0.2299789\n", + "\n", + "$MSE_list[[38]][[12]]\n", + "[1] 0.3712443\n", + "\n", + "$MSE_list[[38]][[13]]\n", + "[1] 0.185927\n", + "\n", + "$MSE_list[[38]][[14]]\n", + "[1] 0.2315991\n", + "\n", + "$MSE_list[[38]][[15]]\n", + "[1] 0.2950482\n", + "\n", + "$MSE_list[[38]][[16]]\n", + "[1] 0.1445403\n", + "\n", + "$MSE_list[[38]][[17]]\n", + "[1] 0.1206579\n", + "\n", + "$MSE_list[[38]][[18]]\n", + "[1] 0.2884468\n", + "\n", + "$MSE_list[[38]][[19]]\n", + "[1] 0.236557\n", + "\n", + "$MSE_list[[38]][[20]]\n", + "[1] 0.2447636\n", + "\n", + "$MSE_list[[38]][[21]]\n", + "[1] 0.1593832\n", + "\n", + "$MSE_list[[38]][[22]]\n", + "[1] 0.257709\n", + "\n", + "$MSE_list[[38]][[23]]\n", + "[1] 0.1550402\n", + "\n", + "$MSE_list[[38]][[24]]\n", + "[1] 0.1405333\n", + "\n", + "$MSE_list[[38]][[25]]\n", + "[1] 0.1587248\n", + "\n", + "$MSE_list[[38]][[26]]\n", + "[1] 0.1996597\n", + "\n", + "$MSE_list[[38]][[27]]\n", + "[1] 0.1921595\n", + "\n", + "$MSE_list[[38]][[28]]\n", + "[1] 0.2292184\n", + "\n", + "$MSE_list[[38]][[29]]\n", + "[1] 0.250347\n", + "\n", + "$MSE_list[[38]][[30]]\n", + "[1] 0.1830951\n", + "\n", + "$MSE_list[[38]][[31]]\n", + "[1] 0.2643307\n", + "\n", + "$MSE_list[[38]][[32]]\n", + "[1] 0.2218508\n", + "\n", + "$MSE_list[[38]][[33]]\n", + "[1] 0.2655843\n", + "\n", + "$MSE_list[[38]][[34]]\n", + "[1] 0.31608\n", + "\n", + "$MSE_list[[38]][[35]]\n", + "[1] 0.2485601\n", + "\n", + "$MSE_list[[38]][[36]]\n", + "[1] 0.1817817\n", + "\n", + "$MSE_list[[38]][[37]]\n", + "[1] 0.1743915\n", + "\n", + "$MSE_list[[38]][[38]]\n", + "[1] 0.293201\n", + "\n", + "$MSE_list[[38]][[39]]\n", + "[1] 0.2167611\n", + "\n", + "$MSE_list[[38]][[40]]\n", + "[1] 0.2575951\n", + "\n", + "$MSE_list[[38]][[41]]\n", + "[1] 0.3043578\n", + "\n", + "$MSE_list[[38]][[42]]\n", + "[1] 0.3744298\n", + "\n", + "$MSE_list[[38]][[43]]\n", + "[1] 0.3109591\n", + "\n", + "$MSE_list[[38]][[44]]\n", + "[1] 0.2320136\n", + "\n", + "$MSE_list[[38]][[45]]\n", + "[1] 0.2099815\n", + "\n", + "$MSE_list[[38]][[46]]\n", + "[1] 0.2350783\n", + "\n", + "$MSE_list[[38]][[47]]\n", + "[1] 0.2949839\n", + "\n", + "$MSE_list[[38]][[48]]\n", + "[1] 0.08467128\n", + "\n", + "$MSE_list[[38]][[49]]\n", + "[1] 0.2043091\n", + "\n", + "$MSE_list[[38]][[50]]\n", + "[1] 0.1685849\n", + "\n", + "$MSE_list[[38]][[51]]\n", + "[1] 0.3465328\n", + "\n", + "$MSE_list[[38]][[52]]\n", + "[1] 0.3658945\n", + "\n", + "$MSE_list[[38]][[53]]\n", + "[1] 0.1997768\n", + "\n", + "$MSE_list[[38]][[54]]\n", + "[1] 0.2230007\n", + "\n", + "$MSE_list[[38]][[55]]\n", + "[1] 0.3491753\n", + "\n", + "$MSE_list[[38]][[56]]\n", + "[1] 0.3052764\n", + "\n", + "$MSE_list[[38]][[57]]\n", + "[1] 0.3352722\n", + "\n", + "$MSE_list[[38]][[58]]\n", + "[1] 0.1756545\n", + "\n", + "$MSE_list[[38]][[59]]\n", + "[1] 0.2563055\n", + "\n", + "$MSE_list[[38]][[60]]\n", + "[1] 0.2724207\n", + "\n", + "$MSE_list[[38]][[61]]\n", + "[1] 0.2404164\n", + "\n", + "$MSE_list[[38]][[62]]\n", + "[1] 0.2430994\n", + "\n", + "$MSE_list[[38]][[63]]\n", + "[1] 0.1910731\n", + "\n", + "$MSE_list[[38]][[64]]\n", + "[1] 0.2534037\n", + "\n", + "$MSE_list[[38]][[65]]\n", + "[1] 0.2224766\n", + "\n", + "$MSE_list[[38]][[66]]\n", + "[1] 0.3138274\n", + "\n", + "$MSE_list[[38]][[67]]\n", + "[1] 0.1954525\n", + "\n", + "$MSE_list[[38]][[68]]\n", + "[1] 0.2871502\n", + "\n", + "$MSE_list[[38]][[69]]\n", + "[1] 0.244781\n", + "\n", + "$MSE_list[[38]][[70]]\n", + "[1] 0.3446768\n", + "\n", + "$MSE_list[[38]][[71]]\n", + "[1] 0.2145491\n", + "\n", + "$MSE_list[[38]][[72]]\n", + "[1] 0.2893101\n", + "\n", + "$MSE_list[[38]][[73]]\n", + "[1] 0.1255654\n", + "\n", + "$MSE_list[[38]][[74]]\n", + "[1] 0.2151478\n", + "\n", + "$MSE_list[[38]][[75]]\n", + "[1] 0.1895606\n", + "\n", + "$MSE_list[[38]][[76]]\n", + "[1] 0.3006651\n", + "\n", + "$MSE_list[[38]][[77]]\n", + "[1] 0.1932086\n", + "\n", + "$MSE_list[[38]][[78]]\n", + "[1] 0.2843627\n", + "\n", + "$MSE_list[[38]][[79]]\n", + "[1] 0.1258565\n", + "\n", + "$MSE_list[[38]][[80]]\n", + "[1] 0.3261619\n", + "\n", + "$MSE_list[[38]][[81]]\n", + "[1] 0.3054813\n", + "\n", + "$MSE_list[[38]][[82]]\n", + "[1] 0.2368292\n", + "\n", + "$MSE_list[[38]][[83]]\n", + "[1] 0.1580248\n", + "\n", + "$MSE_list[[38]][[84]]\n", + "[1] 0.3402239\n", + "\n", + "$MSE_list[[38]][[85]]\n", + "[1] 0.3312883\n", + "\n", + "$MSE_list[[38]][[86]]\n", + "[1] 0.1853172\n", + "\n", + "$MSE_list[[38]][[87]]\n", + "[1] 0.1791708\n", + "\n", + "$MSE_list[[38]][[88]]\n", + "[1] 0.2198144\n", + "\n", + "$MSE_list[[38]][[89]]\n", + "[1] 0.3360035\n", + "\n", + "$MSE_list[[38]][[90]]\n", + "[1] 0.3291164\n", + "\n", + "$MSE_list[[38]][[91]]\n", + "[1] 0.232214\n", + "\n", + "$MSE_list[[38]][[92]]\n", + "[1] 0.23002\n", + "\n", + "$MSE_list[[38]][[93]]\n", + "[1] 0.2616703\n", + "\n", + "$MSE_list[[38]][[94]]\n", + "[1] 0.1984276\n", + "\n", + "$MSE_list[[38]][[95]]\n", + "[1] 0.258427\n", + "\n", + "$MSE_list[[38]][[96]]\n", + "[1] 0.2629146\n", + "\n", + "$MSE_list[[38]][[97]]\n", + "[1] 0.3488455\n", + "\n", + "$MSE_list[[38]][[98]]\n", + "[1] 0.214528\n", + "\n", + "$MSE_list[[38]][[99]]\n", + "[1] 0.2767231\n", + "\n", + "$MSE_list[[38]][[100]]\n", + "[1] 0.233731\n", + "\n", + "\n", + "$MSE_list[[39]]\n", + "$MSE_list[[39]][[1]]\n", + "[1] 0.2385453\n", + "\n", + "$MSE_list[[39]][[2]]\n", + "[1] 0.2020932\n", + "\n", + "$MSE_list[[39]][[3]]\n", + "[1] 0.2625468\n", + "\n", + "$MSE_list[[39]][[4]]\n", + "[1] 0.1995346\n", + "\n", + "$MSE_list[[39]][[5]]\n", + "[1] 0.09777752\n", + "\n", + "$MSE_list[[39]][[6]]\n", + "[1] 0.1143259\n", + "\n", + "$MSE_list[[39]][[7]]\n", + "[1] 0.2541243\n", + "\n", + "$MSE_list[[39]][[8]]\n", + "[1] 0.2871767\n", + "\n", + "$MSE_list[[39]][[9]]\n", + "[1] 0.1782293\n", + "\n", + "$MSE_list[[39]][[10]]\n", + "[1] 0.1372111\n", + "\n", + "$MSE_list[[39]][[11]]\n", + "[1] 0.2458754\n", + "\n", + "$MSE_list[[39]][[12]]\n", + "[1] 0.09592476\n", + "\n", + "$MSE_list[[39]][[13]]\n", + "[1] 0.2532649\n", + "\n", + "$MSE_list[[39]][[14]]\n", + "[1] 0.1866068\n", + "\n", + "$MSE_list[[39]][[15]]\n", + "[1] 0.2556877\n", + "\n", + "$MSE_list[[39]][[16]]\n", + "[1] 0.1705881\n", + "\n", + "$MSE_list[[39]][[17]]\n", + "[1] 0.2241271\n", + "\n", + "$MSE_list[[39]][[18]]\n", + "[1] 0.1657574\n", + "\n", + "$MSE_list[[39]][[19]]\n", + "[1] 0.202723\n", + "\n", + "$MSE_list[[39]][[20]]\n", + "[1] 0.2350805\n", + "\n", + "$MSE_list[[39]][[21]]\n", + "[1] 0.1796454\n", + "\n", + "$MSE_list[[39]][[22]]\n", + "[1] 0.1374931\n", + "\n", + "$MSE_list[[39]][[23]]\n", + "[1] 0.2279946\n", + "\n", + "$MSE_list[[39]][[24]]\n", + "[1] 0.1036096\n", + "\n", + "$MSE_list[[39]][[25]]\n", + "[1] 0.1797847\n", + "\n", + "$MSE_list[[39]][[26]]\n", + "[1] 0.1506371\n", + "\n", + "$MSE_list[[39]][[27]]\n", + "[1] 0.4036322\n", + "\n", + "$MSE_list[[39]][[28]]\n", + "[1] 0.1893583\n", + "\n", + "$MSE_list[[39]][[29]]\n", + "[1] 0.3303232\n", + "\n", + "$MSE_list[[39]][[30]]\n", + "[1] 0.1648821\n", + "\n", + "$MSE_list[[39]][[31]]\n", + "[1] 0.2511909\n", + "\n", + "$MSE_list[[39]][[32]]\n", + "[1] 0.149464\n", + "\n", + "$MSE_list[[39]][[33]]\n", + "[1] 0.1887605\n", + "\n", + "$MSE_list[[39]][[34]]\n", + "[1] 0.2156714\n", + "\n", + "$MSE_list[[39]][[35]]\n", + "[1] 0.3577226\n", + "\n", + "$MSE_list[[39]][[36]]\n", + "[1] 0.2169313\n", + "\n", + "$MSE_list[[39]][[37]]\n", + "[1] 0.1825098\n", + "\n", + "$MSE_list[[39]][[38]]\n", + "[1] 0.2643399\n", + "\n", + "$MSE_list[[39]][[39]]\n", + "[1] 0.2625546\n", + "\n", + "$MSE_list[[39]][[40]]\n", + "[1] 0.2302427\n", + "\n", + "$MSE_list[[39]][[41]]\n", + "[1] 0.2853063\n", + "\n", + "$MSE_list[[39]][[42]]\n", + "[1] 0.1921245\n", + "\n", + "$MSE_list[[39]][[43]]\n", + "[1] 0.1583664\n", + "\n", + "$MSE_list[[39]][[44]]\n", + "[1] 0.2329143\n", + "\n", + "$MSE_list[[39]][[45]]\n", + "[1] 0.1604011\n", + "\n", + "$MSE_list[[39]][[46]]\n", + "[1] 0.2636215\n", + "\n", + "$MSE_list[[39]][[47]]\n", + "[1] 0.2536984\n", + "\n", + "$MSE_list[[39]][[48]]\n", + "[1] 0.2798593\n", + "\n", + "$MSE_list[[39]][[49]]\n", + "[1] 0.1781884\n", + "\n", + "$MSE_list[[39]][[50]]\n", + "[1] 0.2540091\n", + "\n", + "$MSE_list[[39]][[51]]\n", + "[1] 0.2226346\n", + "\n", + "$MSE_list[[39]][[52]]\n", + "[1] 0.1815727\n", + "\n", + "$MSE_list[[39]][[53]]\n", + "[1] 0.1901777\n", + "\n", + "$MSE_list[[39]][[54]]\n", + "[1] 0.1687123\n", + "\n", + "$MSE_list[[39]][[55]]\n", + "[1] 0.2644374\n", + "\n", + "$MSE_list[[39]][[56]]\n", + "[1] 0.2335616\n", + "\n", + "$MSE_list[[39]][[57]]\n", + "[1] 0.1733749\n", + "\n", + "$MSE_list[[39]][[58]]\n", + "[1] 0.2538697\n", + "\n", + "$MSE_list[[39]][[59]]\n", + "[1] 0.2317163\n", + "\n", + "$MSE_list[[39]][[60]]\n", + "[1] 0.3365133\n", + "\n", + "$MSE_list[[39]][[61]]\n", + "[1] 0.2101328\n", + "\n", + "$MSE_list[[39]][[62]]\n", + "[1] 0.2397314\n", + "\n", + "$MSE_list[[39]][[63]]\n", + "[1] 0.2271406\n", + "\n", + "$MSE_list[[39]][[64]]\n", + "[1] 0.3085355\n", + "\n", + "$MSE_list[[39]][[65]]\n", + "[1] 0.394664\n", + "\n", + "$MSE_list[[39]][[66]]\n", + "[1] 0.2569747\n", + "\n", + "$MSE_list[[39]][[67]]\n", + "[1] 0.2842348\n", + "\n", + "$MSE_list[[39]][[68]]\n", + "[1] 0.2099292\n", + "\n", + "$MSE_list[[39]][[69]]\n", + "[1] 0.2091938\n", + "\n", + "$MSE_list[[39]][[70]]\n", + "[1] 0.1987549\n", + "\n", + "$MSE_list[[39]][[71]]\n", + "[1] 0.207878\n", + "\n", + "$MSE_list[[39]][[72]]\n", + "[1] 0.2241195\n", + "\n", + "$MSE_list[[39]][[73]]\n", + "[1] 0.3024385\n", + "\n", + "$MSE_list[[39]][[74]]\n", + "[1] 0.220925\n", + "\n", + "$MSE_list[[39]][[75]]\n", + "[1] 0.1933681\n", + "\n", + "$MSE_list[[39]][[76]]\n", + "[1] 0.2350419\n", + "\n", + "$MSE_list[[39]][[77]]\n", + "[1] 0.340981\n", + "\n", + "$MSE_list[[39]][[78]]\n", + "[1] 0.3092107\n", + "\n", + "$MSE_list[[39]][[79]]\n", + "[1] 0.2269886\n", + "\n", + "$MSE_list[[39]][[80]]\n", + "[1] 0.1854262\n", + "\n", + "$MSE_list[[39]][[81]]\n", + "[1] 0.2838418\n", + "\n", + "$MSE_list[[39]][[82]]\n", + "[1] 0.3028903\n", + "\n", + "$MSE_list[[39]][[83]]\n", + "[1] 0.2509036\n", + "\n", + "$MSE_list[[39]][[84]]\n", + "[1] 0.2739029\n", + "\n", + "$MSE_list[[39]][[85]]\n", + "[1] 0.2376748\n", + "\n", + "$MSE_list[[39]][[86]]\n", + "[1] 0.2429574\n", + "\n", + "$MSE_list[[39]][[87]]\n", + "[1] 0.1464562\n", + "\n", + "$MSE_list[[39]][[88]]\n", + "[1] 0.2299758\n", + "\n", + "$MSE_list[[39]][[89]]\n", + "[1] 0.220579\n", + "\n", + "$MSE_list[[39]][[90]]\n", + "[1] 0.2524059\n", + "\n", + "$MSE_list[[39]][[91]]\n", + "[1] 0.1602426\n", + "\n", + "$MSE_list[[39]][[92]]\n", + "[1] 0.2491126\n", + "\n", + "$MSE_list[[39]][[93]]\n", + "[1] 0.203161\n", + "\n", + "$MSE_list[[39]][[94]]\n", + "[1] 0.2142763\n", + "\n", + "$MSE_list[[39]][[95]]\n", + "[1] 0.4087622\n", + "\n", + "$MSE_list[[39]][[96]]\n", + "[1] 0.2091596\n", + "\n", + "$MSE_list[[39]][[97]]\n", + "[1] 0.1987729\n", + "\n", + "$MSE_list[[39]][[98]]\n", + "[1] 0.2705387\n", + "\n", + "$MSE_list[[39]][[99]]\n", + "[1] 0.2206974\n", + "\n", + "$MSE_list[[39]][[100]]\n", + "[1] 0.2789475\n", + "\n", + "\n", + "$MSE_list[[40]]\n", + "$MSE_list[[40]][[1]]\n", + "[1] 0.1791587\n", + "\n", + "$MSE_list[[40]][[2]]\n", + "[1] 0.1053948\n", + "\n", + "$MSE_list[[40]][[3]]\n", + "[1] 0.2274226\n", + "\n", + "$MSE_list[[40]][[4]]\n", + "[1] 0.2611829\n", + "\n", + "$MSE_list[[40]][[5]]\n", + "[1] 0.08248821\n", + "\n", + "$MSE_list[[40]][[6]]\n", + "[1] 0.1009546\n", + "\n", + "$MSE_list[[40]][[7]]\n", + "[1] 0.1861634\n", + "\n", + "$MSE_list[[40]][[8]]\n", + "[1] 0.3201066\n", + "\n", + "$MSE_list[[40]][[9]]\n", + "[1] 0.2438973\n", + "\n", + "$MSE_list[[40]][[10]]\n", + "[1] 0.1332575\n", + "\n", + "$MSE_list[[40]][[11]]\n", + "[1] 0.1859808\n", + "\n", + "$MSE_list[[40]][[12]]\n", + "[1] 0.3033663\n", + "\n", + "$MSE_list[[40]][[13]]\n", + "[1] 0.2625674\n", + "\n", + "$MSE_list[[40]][[14]]\n", + "[1] 0.1639669\n", + "\n", + "$MSE_list[[40]][[15]]\n", + "[1] 0.4004373\n", + "\n", + "$MSE_list[[40]][[16]]\n", + "[1] 0.2615362\n", + "\n", + "$MSE_list[[40]][[17]]\n", + "[1] 0.3159808\n", + "\n", + "$MSE_list[[40]][[18]]\n", + "[1] 0.1697443\n", + "\n", + "$MSE_list[[40]][[19]]\n", + "[1] 0.1746478\n", + "\n", + "$MSE_list[[40]][[20]]\n", + "[1] 0.2413176\n", + "\n", + "$MSE_list[[40]][[21]]\n", + "[1] 0.2284819\n", + "\n", + "$MSE_list[[40]][[22]]\n", + "[1] 0.1503402\n", + "\n", + "$MSE_list[[40]][[23]]\n", + "[1] 0.27496\n", + "\n", + "$MSE_list[[40]][[24]]\n", + "[1] 0.343061\n", + "\n", + "$MSE_list[[40]][[25]]\n", + "[1] 0.05368168\n", + "\n", + "$MSE_list[[40]][[26]]\n", + "[1] 0.2192082\n", + "\n", + "$MSE_list[[40]][[27]]\n", + "[1] 0.2997422\n", + "\n", + "$MSE_list[[40]][[28]]\n", + "[1] 0.3223579\n", + "\n", + "$MSE_list[[40]][[29]]\n", + "[1] 0.2448042\n", + "\n", + "$MSE_list[[40]][[30]]\n", + "[1] 0.364434\n", + "\n", + "$MSE_list[[40]][[31]]\n", + "[1] 0.3378014\n", + "\n", + "$MSE_list[[40]][[32]]\n", + "[1] 0.1575635\n", + "\n", + "$MSE_list[[40]][[33]]\n", + "[1] 0.1669238\n", + "\n", + "$MSE_list[[40]][[34]]\n", + "[1] 0.3360836\n", + "\n", + "$MSE_list[[40]][[35]]\n", + "[1] 0.1636764\n", + "\n", + "$MSE_list[[40]][[36]]\n", + "[1] 0.2004911\n", + "\n", + "$MSE_list[[40]][[37]]\n", + "[1] 0.1764333\n", + "\n", + "$MSE_list[[40]][[38]]\n", + "[1] 0.2811047\n", + "\n", + "$MSE_list[[40]][[39]]\n", + "[1] 0.2024138\n", + "\n", + "$MSE_list[[40]][[40]]\n", + "[1] 0.2462283\n", + "\n", + "$MSE_list[[40]][[41]]\n", + "[1] 0.3012738\n", + "\n", + "$MSE_list[[40]][[42]]\n", + "[1] 0.1702761\n", + "\n", + "$MSE_list[[40]][[43]]\n", + "[1] 0.1812897\n", + "\n", + "$MSE_list[[40]][[44]]\n", + "[1] 0.196348\n", + "\n", + "$MSE_list[[40]][[45]]\n", + "[1] 0.2181807\n", + "\n", + "$MSE_list[[40]][[46]]\n", + "[1] 0.3512361\n", + "\n", + "$MSE_list[[40]][[47]]\n", + "[1] 0.1860622\n", + "\n", + "$MSE_list[[40]][[48]]\n", + "[1] 0.2460155\n", + "\n", + "$MSE_list[[40]][[49]]\n", + "[1] 0.238229\n", + "\n", + "$MSE_list[[40]][[50]]\n", + "[1] 0.2974034\n", + "\n", + "$MSE_list[[40]][[51]]\n", + "[1] 0.2756117\n", + "\n", + "$MSE_list[[40]][[52]]\n", + "[1] 0.2672234\n", + "\n", + "$MSE_list[[40]][[53]]\n", + "[1] 0.1711227\n", + "\n", + "$MSE_list[[40]][[54]]\n", + "[1] 0.186563\n", + "\n", + "$MSE_list[[40]][[55]]\n", + "[1] 0.2439299\n", + "\n", + "$MSE_list[[40]][[56]]\n", + "[1] 0.26803\n", + "\n", + "$MSE_list[[40]][[57]]\n", + "[1] 0.2173878\n", + "\n", + "$MSE_list[[40]][[58]]\n", + "[1] 0.2172419\n", + "\n", + "$MSE_list[[40]][[59]]\n", + "[1] 0.2446947\n", + "\n", + "$MSE_list[[40]][[60]]\n", + "[1] 0.2161532\n", + "\n", + "$MSE_list[[40]][[61]]\n", + "[1] 0.283628\n", + "\n", + "$MSE_list[[40]][[62]]\n", + "[1] 0.3514975\n", + "\n", + "$MSE_list[[40]][[63]]\n", + "[1] 0.2811732\n", + "\n", + "$MSE_list[[40]][[64]]\n", + "[1] 0.2097003\n", + "\n", + "$MSE_list[[40]][[65]]\n", + "[1] 0.3182632\n", + "\n", + "$MSE_list[[40]][[66]]\n", + "[1] 0.2103184\n", + "\n", + "$MSE_list[[40]][[67]]\n", + "[1] 0.08291565\n", + "\n", + "$MSE_list[[40]][[68]]\n", + "[1] 0.3905515\n", + "\n", + "$MSE_list[[40]][[69]]\n", + "[1] 0.2675332\n", + "\n", + "$MSE_list[[40]][[70]]\n", + "[1] 0.2518839\n", + "\n", + "$MSE_list[[40]][[71]]\n", + "[1] 0.1117352\n", + "\n", + "$MSE_list[[40]][[72]]\n", + "[1] 0.1260543\n", + "\n", + "$MSE_list[[40]][[73]]\n", + "[1] 0.2064209\n", + "\n", + "$MSE_list[[40]][[74]]\n", + "[1] 0.2405802\n", + "\n", + "$MSE_list[[40]][[75]]\n", + "[1] 0.3075465\n", + "\n", + "$MSE_list[[40]][[76]]\n", + "[1] 0.3470919\n", + "\n", + "$MSE_list[[40]][[77]]\n", + "[1] 0.2958384\n", + "\n", + "$MSE_list[[40]][[78]]\n", + "[1] 0.1371611\n", + "\n", + "$MSE_list[[40]][[79]]\n", + "[1] 0.3815643\n", + "\n", + "$MSE_list[[40]][[80]]\n", + "[1] 0.3210269\n", + "\n", + "$MSE_list[[40]][[81]]\n", + "[1] 0.2739213\n", + "\n", + "$MSE_list[[40]][[82]]\n", + "[1] 0.27535\n", + "\n", + "$MSE_list[[40]][[83]]\n", + "[1] 0.2319703\n", + "\n", + "$MSE_list[[40]][[84]]\n", + "[1] 0.1873044\n", + "\n", + "$MSE_list[[40]][[85]]\n", + "[1] 0.3126384\n", + "\n", + "$MSE_list[[40]][[86]]\n", + "[1] 0.2137\n", + "\n", + "$MSE_list[[40]][[87]]\n", + "[1] 0.2491433\n", + "\n", + "$MSE_list[[40]][[88]]\n", + "[1] 0.1905278\n", + "\n", + "$MSE_list[[40]][[89]]\n", + "[1] 0.2349454\n", + "\n", + "$MSE_list[[40]][[90]]\n", + "[1] 0.222181\n", + "\n", + "$MSE_list[[40]][[91]]\n", + "[1] 0.1690742\n", + "\n", + "$MSE_list[[40]][[92]]\n", + "[1] 0.1738301\n", + "\n", + "$MSE_list[[40]][[93]]\n", + "[1] 0.2340724\n", + "\n", + "$MSE_list[[40]][[94]]\n", + "[1] 0.2022653\n", + "\n", + "$MSE_list[[40]][[95]]\n", + "[1] 0.1974652\n", + "\n", + "$MSE_list[[40]][[96]]\n", + "[1] 0.4001684\n", + "\n", + "$MSE_list[[40]][[97]]\n", + "[1] 0.1839268\n", + "\n", + "$MSE_list[[40]][[98]]\n", + "[1] 0.2975059\n", + "\n", + "$MSE_list[[40]][[99]]\n", + "[1] 0.2533655\n", + "\n", + "$MSE_list[[40]][[100]]\n", + "[1] 0.2238408\n", + "\n", + "\n", + "$MSE_list[[41]]\n", + "$MSE_list[[41]][[1]]\n", + "[1] 0.4011209\n", + "\n", + "$MSE_list[[41]][[2]]\n", + "[1] 0.4011151\n", + "\n", + "$MSE_list[[41]][[3]]\n", + "[1] 0.2819753\n", + "\n", + "$MSE_list[[41]][[4]]\n", + "[1] 0.2203495\n", + "\n", + "$MSE_list[[41]][[5]]\n", + "[1] 0.2891072\n", + "\n", + "$MSE_list[[41]][[6]]\n", + "[1] 0.1321707\n", + "\n", + "$MSE_list[[41]][[7]]\n", + "[1] 0.1860913\n", + "\n", + "$MSE_list[[41]][[8]]\n", + "[1] 0.2449144\n", + "\n", + "$MSE_list[[41]][[9]]\n", + "[1] 0.2794004\n", + "\n", + "$MSE_list[[41]][[10]]\n", + "[1] 0.2848031\n", + "\n", + "$MSE_list[[41]][[11]]\n", + "[1] 0.2801524\n", + "\n", + "$MSE_list[[41]][[12]]\n", + "[1] 0.3033085\n", + "\n", + "$MSE_list[[41]][[13]]\n", + "[1] 0.3404043\n", + "\n", + "$MSE_list[[41]][[14]]\n", + "[1] 0.395542\n", + "\n", + "$MSE_list[[41]][[15]]\n", + "[1] 0.2796554\n", + "\n", + "$MSE_list[[41]][[16]]\n", + "[1] 0.4023489\n", + "\n", + "$MSE_list[[41]][[17]]\n", + "[1] 0.1818072\n", + "\n", + "$MSE_list[[41]][[18]]\n", + "[1] 0.1930832\n", + "\n", + "$MSE_list[[41]][[19]]\n", + "[1] 0.3036861\n", + "\n", + "$MSE_list[[41]][[20]]\n", + "[1] 0.08165674\n", + "\n", + "$MSE_list[[41]][[21]]\n", + "[1] 0.3113477\n", + "\n", + "$MSE_list[[41]][[22]]\n", + "[1] 0.3904443\n", + "\n", + "$MSE_list[[41]][[23]]\n", + "[1] 0.2758572\n", + "\n", + "$MSE_list[[41]][[24]]\n", + "[1] 0.2734311\n", + "\n", + "$MSE_list[[41]][[25]]\n", + "[1] 0.1829745\n", + "\n", + "$MSE_list[[41]][[26]]\n", + "[1] 0.2300797\n", + "\n", + "$MSE_list[[41]][[27]]\n", + "[1] 0.2717113\n", + "\n", + "$MSE_list[[41]][[28]]\n", + "[1] 0.3570929\n", + "\n", + "$MSE_list[[41]][[29]]\n", + "[1] 0.3167727\n", + "\n", + "$MSE_list[[41]][[30]]\n", + "[1] 0.3163499\n", + "\n", + "$MSE_list[[41]][[31]]\n", + "[1] 0.3353832\n", + "\n", + "$MSE_list[[41]][[32]]\n", + "[1] 0.37289\n", + "\n", + "$MSE_list[[41]][[33]]\n", + "[1] 0.3765203\n", + "\n", + "$MSE_list[[41]][[34]]\n", + "[1] 0.2642984\n", + "\n", + "$MSE_list[[41]][[35]]\n", + "[1] 0.2667343\n", + "\n", + "$MSE_list[[41]][[36]]\n", + "[1] 0.3304133\n", + "\n", + "$MSE_list[[41]][[37]]\n", + "[1] 0.1304009\n", + "\n", + "$MSE_list[[41]][[38]]\n", + "[1] 0.1662572\n", + "\n", + "$MSE_list[[41]][[39]]\n", + "[1] 0.1850883\n", + "\n", + "$MSE_list[[41]][[40]]\n", + "[1] 0.2179941\n", + "\n", + "$MSE_list[[41]][[41]]\n", + "[1] 0.1809965\n", + "\n", + "$MSE_list[[41]][[42]]\n", + "[1] 0.2311854\n", + "\n", + "$MSE_list[[41]][[43]]\n", + "[1] 0.2785987\n", + "\n", + "$MSE_list[[41]][[44]]\n", + "[1] 0.1265725\n", + "\n", + "$MSE_list[[41]][[45]]\n", + "[1] 0.3320863\n", + "\n", + "$MSE_list[[41]][[46]]\n", + "[1] 0.1144516\n", + "\n", + "$MSE_list[[41]][[47]]\n", + "[1] 0.3868489\n", + "\n", + "$MSE_list[[41]][[48]]\n", + "[1] 0.3147383\n", + "\n", + "$MSE_list[[41]][[49]]\n", + "[1] 0.166227\n", + "\n", + "$MSE_list[[41]][[50]]\n", + "[1] 0.3139336\n", + "\n", + "$MSE_list[[41]][[51]]\n", + "[1] 0.248079\n", + "\n", + "$MSE_list[[41]][[52]]\n", + "[1] 0.2844559\n", + "\n", + "$MSE_list[[41]][[53]]\n", + "[1] 0.3304993\n", + "\n", + "$MSE_list[[41]][[54]]\n", + "[1] 0.02865239\n", + "\n", + "$MSE_list[[41]][[55]]\n", + "[1] 0.2788834\n", + "\n", + "$MSE_list[[41]][[56]]\n", + "[1] 0.2941206\n", + "\n", + "$MSE_list[[41]][[57]]\n", + "[1] 0.3202396\n", + "\n", + "$MSE_list[[41]][[58]]\n", + "[1] 0.3523897\n", + "\n", + "$MSE_list[[41]][[59]]\n", + "[1] 0.3039914\n", + "\n", + "$MSE_list[[41]][[60]]\n", + "[1] 0.1760587\n", + "\n", + "$MSE_list[[41]][[61]]\n", + "[1] 0.440814\n", + "\n", + "$MSE_list[[41]][[62]]\n", + "[1] 0.3502843\n", + "\n", + "$MSE_list[[41]][[63]]\n", + "[1] 0.2251986\n", + "\n", + "$MSE_list[[41]][[64]]\n", + "[1] 0.2967109\n", + "\n", + "$MSE_list[[41]][[65]]\n", + "[1] 0.3528374\n", + "\n", + "$MSE_list[[41]][[66]]\n", + "[1] 0.2513417\n", + "\n", + "$MSE_list[[41]][[67]]\n", + "[1] 0.2972843\n", + "\n", + "$MSE_list[[41]][[68]]\n", + "[1] 0.3064762\n", + "\n", + "$MSE_list[[41]][[69]]\n", + "[1] 0.2338835\n", + "\n", + "$MSE_list[[41]][[70]]\n", + "[1] 0.1730157\n", + "\n", + "$MSE_list[[41]][[71]]\n", + "[1] 0.3553079\n", + "\n", + "$MSE_list[[41]][[72]]\n", + "[1] 0.2356306\n", + "\n", + "$MSE_list[[41]][[73]]\n", + "[1] 0.2567276\n", + "\n", + "$MSE_list[[41]][[74]]\n", + "[1] 0.2420498\n", + "\n", + "$MSE_list[[41]][[75]]\n", + "[1] 0.2417058\n", + "\n", + "$MSE_list[[41]][[76]]\n", + "[1] 0.3307166\n", + "\n", + "$MSE_list[[41]][[77]]\n", + "[1] 0.3572154\n", + "\n", + "$MSE_list[[41]][[78]]\n", + "[1] 0.2827241\n", + "\n", + "$MSE_list[[41]][[79]]\n", + "[1] 0.3387325\n", + "\n", + "$MSE_list[[41]][[80]]\n", + "[1] 0.2357886\n", + "\n", + "$MSE_list[[41]][[81]]\n", + "[1] 0.2897117\n", + "\n", + "$MSE_list[[41]][[82]]\n", + "[1] 0.2549581\n", + "\n", + "$MSE_list[[41]][[83]]\n", + "[1] 0.3446781\n", + "\n", + "$MSE_list[[41]][[84]]\n", + "[1] 0.2408265\n", + "\n", + "$MSE_list[[41]][[85]]\n", + "[1] 0.2342345\n", + "\n", + "$MSE_list[[41]][[86]]\n", + "[1] 0.3085251\n", + "\n", + "$MSE_list[[41]][[87]]\n", + "[1] 0.3494298\n", + "\n", + "$MSE_list[[41]][[88]]\n", + "[1] 0.405871\n", + "\n", + "$MSE_list[[41]][[89]]\n", + "[1] 0.3741356\n", + "\n", + "$MSE_list[[41]][[90]]\n", + "[1] 0.3061154\n", + "\n", + "$MSE_list[[41]][[91]]\n", + "[1] 0.3648816\n", + "\n", + "$MSE_list[[41]][[92]]\n", + "[1] 0.2002416\n", + "\n", + "$MSE_list[[41]][[93]]\n", + "[1] 0.2800113\n", + "\n", + "$MSE_list[[41]][[94]]\n", + "[1] 0.3717142\n", + "\n", + "$MSE_list[[41]][[95]]\n", + "[1] 0.410313\n", + "\n", + "$MSE_list[[41]][[96]]\n", + "[1] 0.3777806\n", + "\n", + "$MSE_list[[41]][[97]]\n", + "[1] 0.4077309\n", + "\n", + "$MSE_list[[41]][[98]]\n", + "[1] 0.3593584\n", + "\n", + "$MSE_list[[41]][[99]]\n", + "[1] 0.2951643\n", + "\n", + "$MSE_list[[41]][[100]]\n", + "[1] 0.278375\n", + "\n", + "\n", + "$MSE_list[[42]]\n", + "$MSE_list[[42]][[1]]\n", + "[1] 0.1814739\n", + "\n", + "$MSE_list[[42]][[2]]\n", + "[1] 0.2775378\n", + "\n", + "$MSE_list[[42]][[3]]\n", + "[1] 0.3604807\n", + "\n", + "$MSE_list[[42]][[4]]\n", + "[1] 0.1711323\n", + "\n", + "$MSE_list[[42]][[5]]\n", + "[1] 0.1837382\n", + "\n", + "$MSE_list[[42]][[6]]\n", + "[1] 0.337017\n", + "\n", + "$MSE_list[[42]][[7]]\n", + "[1] 0.3107405\n", + "\n", + "$MSE_list[[42]][[8]]\n", + "[1] 0.1970604\n", + "\n", + "$MSE_list[[42]][[9]]\n", + "[1] 0.2326183\n", + "\n", + "$MSE_list[[42]][[10]]\n", + "[1] 0.1129343\n", + "\n", + "$MSE_list[[42]][[11]]\n", + "[1] 0.1487138\n", + "\n", + "$MSE_list[[42]][[12]]\n", + "[1] 0.2571523\n", + "\n", + "$MSE_list[[42]][[13]]\n", + "[1] 0.3211489\n", + "\n", + "$MSE_list[[42]][[14]]\n", + "[1] 0.3287968\n", + "\n", + "$MSE_list[[42]][[15]]\n", + "[1] 0.2931008\n", + "\n", + "$MSE_list[[42]][[16]]\n", + "[1] 0.257537\n", + "\n", + "$MSE_list[[42]][[17]]\n", + "[1] 0.3354226\n", + "\n", + "$MSE_list[[42]][[18]]\n", + "[1] 0.2508844\n", + "\n", + "$MSE_list[[42]][[19]]\n", + "[1] 0.2454927\n", + "\n", + "$MSE_list[[42]][[20]]\n", + "[1] 0.2487087\n", + "\n", + "$MSE_list[[42]][[21]]\n", + "[1] 0.2892473\n", + "\n", + "$MSE_list[[42]][[22]]\n", + "[1] 0.1910445\n", + "\n", + "$MSE_list[[42]][[23]]\n", + "[1] 0.1806233\n", + "\n", + "$MSE_list[[42]][[24]]\n", + "[1] 0.1186252\n", + "\n", + "$MSE_list[[42]][[25]]\n", + "[1] 0.1742263\n", + "\n", + "$MSE_list[[42]][[26]]\n", + "[1] 0.2397039\n", + "\n", + "$MSE_list[[42]][[27]]\n", + "[1] 0.3450967\n", + "\n", + "$MSE_list[[42]][[28]]\n", + "[1] 0.2931793\n", + "\n", + "$MSE_list[[42]][[29]]\n", + "[1] 0.2388812\n", + "\n", + "$MSE_list[[42]][[30]]\n", + "[1] 0.2251398\n", + "\n", + "$MSE_list[[42]][[31]]\n", + "[1] 0.3982005\n", + "\n", + "$MSE_list[[42]][[32]]\n", + "[1] 0.2028489\n", + "\n", + "$MSE_list[[42]][[33]]\n", + "[1] 0.4222352\n", + "\n", + "$MSE_list[[42]][[34]]\n", + "[1] 0.1497987\n", + "\n", + "$MSE_list[[42]][[35]]\n", + "[1] 0.2900517\n", + "\n", + "$MSE_list[[42]][[36]]\n", + "[1] 0.2202837\n", + "\n", + "$MSE_list[[42]][[37]]\n", + "[1] 0.2973739\n", + "\n", + "$MSE_list[[42]][[38]]\n", + "[1] 0.2036149\n", + "\n", + "$MSE_list[[42]][[39]]\n", + "[1] 0.2447256\n", + "\n", + "$MSE_list[[42]][[40]]\n", + "[1] 0.2581986\n", + "\n", + "$MSE_list[[42]][[41]]\n", + "[1] 0.3010436\n", + "\n", + "$MSE_list[[42]][[42]]\n", + "[1] 0.1637308\n", + "\n", + "$MSE_list[[42]][[43]]\n", + "[1] 0.2221675\n", + "\n", + "$MSE_list[[42]][[44]]\n", + "[1] 0.1517372\n", + "\n", + "$MSE_list[[42]][[45]]\n", + "[1] 0.3789273\n", + "\n", + "$MSE_list[[42]][[46]]\n", + "[1] 0.2157356\n", + "\n", + "$MSE_list[[42]][[47]]\n", + "[1] 0.2645232\n", + "\n", + "$MSE_list[[42]][[48]]\n", + "[1] 0.126603\n", + "\n", + "$MSE_list[[42]][[49]]\n", + "[1] 0.3372736\n", + "\n", + "$MSE_list[[42]][[50]]\n", + "[1] 0.3070711\n", + "\n", + "$MSE_list[[42]][[51]]\n", + "[1] 0.4485442\n", + "\n", + "$MSE_list[[42]][[52]]\n", + "[1] 0.3584149\n", + "\n", + "$MSE_list[[42]][[53]]\n", + "[1] 0.360971\n", + "\n", + "$MSE_list[[42]][[54]]\n", + "[1] 0.2581809\n", + "\n", + "$MSE_list[[42]][[55]]\n", + "[1] 0.3246404\n", + "\n", + "$MSE_list[[42]][[56]]\n", + "[1] 0.2529682\n", + "\n", + "$MSE_list[[42]][[57]]\n", + "[1] 0.2522655\n", + "\n", + "$MSE_list[[42]][[58]]\n", + "[1] 0.1566493\n", + "\n", + "$MSE_list[[42]][[59]]\n", + "[1] 0.2386297\n", + "\n", + "$MSE_list[[42]][[60]]\n", + "[1] 0.3246553\n", + "\n", + "$MSE_list[[42]][[61]]\n", + "[1] 0.343301\n", + "\n", + "$MSE_list[[42]][[62]]\n", + "[1] 0.329319\n", + "\n", + "$MSE_list[[42]][[63]]\n", + "[1] 0.2414674\n", + "\n", + "$MSE_list[[42]][[64]]\n", + "[1] 0.3639783\n", + "\n", + "$MSE_list[[42]][[65]]\n", + "[1] 0.2993524\n", + "\n", + "$MSE_list[[42]][[66]]\n", + "[1] 0.2181235\n", + "\n", + "$MSE_list[[42]][[67]]\n", + "[1] 0.268524\n", + "\n", + "$MSE_list[[42]][[68]]\n", + "[1] 0.2414456\n", + "\n", + "$MSE_list[[42]][[69]]\n", + "[1] 0.3336208\n", + "\n", + "$MSE_list[[42]][[70]]\n", + "[1] 0.1502226\n", + "\n", + "$MSE_list[[42]][[71]]\n", + "[1] 0.5392357\n", + "\n", + "$MSE_list[[42]][[72]]\n", + "[1] 0.2269304\n", + "\n", + "$MSE_list[[42]][[73]]\n", + "[1] 0.4182773\n", + "\n", + "$MSE_list[[42]][[74]]\n", + "[1] 0.1995237\n", + "\n", + "$MSE_list[[42]][[75]]\n", + "[1] 0.2951829\n", + "\n", + "$MSE_list[[42]][[76]]\n", + "[1] 0.2732542\n", + "\n", + "$MSE_list[[42]][[77]]\n", + "[1] 0.2384325\n", + "\n", + "$MSE_list[[42]][[78]]\n", + "[1] 0.1404104\n", + "\n", + "$MSE_list[[42]][[79]]\n", + "[1] 0.2149249\n", + "\n", + "$MSE_list[[42]][[80]]\n", + "[1] 0.2842594\n", + "\n", + "$MSE_list[[42]][[81]]\n", + "[1] 0.2437482\n", + "\n", + "$MSE_list[[42]][[82]]\n", + "[1] 0.3146408\n", + "\n", + "$MSE_list[[42]][[83]]\n", + "[1] 0.3298888\n", + "\n", + "$MSE_list[[42]][[84]]\n", + "[1] 0.4094089\n", + "\n", + "$MSE_list[[42]][[85]]\n", + "[1] 0.3015749\n", + "\n", + "$MSE_list[[42]][[86]]\n", + "[1] 0.3124622\n", + "\n", + "$MSE_list[[42]][[87]]\n", + "[1] 0.2446644\n", + "\n", + "$MSE_list[[42]][[88]]\n", + "[1] 0.2277784\n", + "\n", + "$MSE_list[[42]][[89]]\n", + "[1] 0.313387\n", + "\n", + "$MSE_list[[42]][[90]]\n", + "[1] 0.218468\n", + "\n", + "$MSE_list[[42]][[91]]\n", + "[1] 0.2505813\n", + "\n", + "$MSE_list[[42]][[92]]\n", + "[1] 0.3836109\n", + "\n", + "$MSE_list[[42]][[93]]\n", + "[1] 0.2702653\n", + "\n", + "$MSE_list[[42]][[94]]\n", + "[1] 0.1751543\n", + "\n", + "$MSE_list[[42]][[95]]\n", + "[1] 0.2552466\n", + "\n", + "$MSE_list[[42]][[96]]\n", + "[1] 0.2466346\n", + "\n", + "$MSE_list[[42]][[97]]\n", + "[1] 0.1317261\n", + "\n", + "$MSE_list[[42]][[98]]\n", + "[1] 0.2951747\n", + "\n", + "$MSE_list[[42]][[99]]\n", + "[1] 0.1411368\n", + "\n", + "$MSE_list[[42]][[100]]\n", + "[1] 0.2827072\n", + "\n", + "\n", + "$MSE_list[[43]]\n", + "$MSE_list[[43]][[1]]\n", + "[1] 0.177079\n", + "\n", + "$MSE_list[[43]][[2]]\n", + "[1] 0.2208316\n", + "\n", + "$MSE_list[[43]][[3]]\n", + "[1] 0.2497911\n", + "\n", + "$MSE_list[[43]][[4]]\n", + "[1] 0.2235582\n", + "\n", + "$MSE_list[[43]][[5]]\n", + "[1] 0.1900916\n", + "\n", + "$MSE_list[[43]][[6]]\n", + "[1] 0.3026505\n", + "\n", + "$MSE_list[[43]][[7]]\n", + "[1] 0.3026756\n", + "\n", + "$MSE_list[[43]][[8]]\n", + "[1] 0.2283475\n", + "\n", + "$MSE_list[[43]][[9]]\n", + "[1] 0.3754141\n", + "\n", + "$MSE_list[[43]][[10]]\n", + "[1] 0.3287725\n", + "\n", + "$MSE_list[[43]][[11]]\n", + "[1] 0.2417556\n", + "\n", + "$MSE_list[[43]][[12]]\n", + "[1] 0.3106118\n", + "\n", + "$MSE_list[[43]][[13]]\n", + "[1] 0.2561628\n", + "\n", + "$MSE_list[[43]][[14]]\n", + "[1] 0.1708269\n", + "\n", + "$MSE_list[[43]][[15]]\n", + "[1] 0.2072177\n", + "\n", + "$MSE_list[[43]][[16]]\n", + "[1] 0.1673726\n", + "\n", + "$MSE_list[[43]][[17]]\n", + "[1] 0.1553264\n", + "\n", + "$MSE_list[[43]][[18]]\n", + "[1] 0.3878657\n", + "\n", + "$MSE_list[[43]][[19]]\n", + "[1] 0.2863945\n", + "\n", + "$MSE_list[[43]][[20]]\n", + "[1] 0.2595387\n", + "\n", + "$MSE_list[[43]][[21]]\n", + "[1] 0.2919349\n", + "\n", + "$MSE_list[[43]][[22]]\n", + "[1] 0.1405122\n", + "\n", + "$MSE_list[[43]][[23]]\n", + "[1] 0.2816297\n", + "\n", + "$MSE_list[[43]][[24]]\n", + "[1] 0.3396801\n", + "\n", + "$MSE_list[[43]][[25]]\n", + "[1] 0.1978492\n", + "\n", + "$MSE_list[[43]][[26]]\n", + "[1] 0.1655859\n", + "\n", + "$MSE_list[[43]][[27]]\n", + "[1] 0.2346468\n", + "\n", + "$MSE_list[[43]][[28]]\n", + "[1] 0.2159848\n", + "\n", + "$MSE_list[[43]][[29]]\n", + "[1] 0.2218308\n", + "\n", + "$MSE_list[[43]][[30]]\n", + "[1] 0.3566107\n", + "\n", + "$MSE_list[[43]][[31]]\n", + "[1] 0.1513256\n", + "\n", + "$MSE_list[[43]][[32]]\n", + "[1] 0.2397314\n", + "\n", + "$MSE_list[[43]][[33]]\n", + "[1] 0.07358853\n", + "\n", + "$MSE_list[[43]][[34]]\n", + "[1] 0.20134\n", + "\n", + "$MSE_list[[43]][[35]]\n", + "[1] 0.3051927\n", + "\n", + "$MSE_list[[43]][[36]]\n", + "[1] 0.2517057\n", + "\n", + "$MSE_list[[43]][[37]]\n", + "[1] 0.2244742\n", + "\n", + "$MSE_list[[43]][[38]]\n", + "[1] 0.2682544\n", + "\n", + "$MSE_list[[43]][[39]]\n", + "[1] 0.2083775\n", + "\n", + "$MSE_list[[43]][[40]]\n", + "[1] 0.2078875\n", + "\n", + "$MSE_list[[43]][[41]]\n", + "[1] 0.1804903\n", + "\n", + "$MSE_list[[43]][[42]]\n", + "[1] 0.1936078\n", + "\n", + "$MSE_list[[43]][[43]]\n", + "[1] 0.2154196\n", + "\n", + "$MSE_list[[43]][[44]]\n", + "[1] 0.2720409\n", + "\n", + "$MSE_list[[43]][[45]]\n", + "[1] 0.3114342\n", + "\n", + "$MSE_list[[43]][[46]]\n", + "[1] 0.3946015\n", + "\n", + "$MSE_list[[43]][[47]]\n", + "[1] 0.2295548\n", + "\n", + "$MSE_list[[43]][[48]]\n", + "[1] 0.1338968\n", + "\n", + "$MSE_list[[43]][[49]]\n", + "[1] 0.1970159\n", + "\n", + "$MSE_list[[43]][[50]]\n", + "[1] 0.2337722\n", + "\n", + "$MSE_list[[43]][[51]]\n", + "[1] 0.1808691\n", + "\n", + "$MSE_list[[43]][[52]]\n", + "[1] 0.2300992\n", + "\n", + "$MSE_list[[43]][[53]]\n", + "[1] 0.151204\n", + "\n", + "$MSE_list[[43]][[54]]\n", + "[1] 0.2345623\n", + "\n", + "$MSE_list[[43]][[55]]\n", + "[1] 0.1966534\n", + "\n", + "$MSE_list[[43]][[56]]\n", + "[1] 0.2681191\n", + "\n", + "$MSE_list[[43]][[57]]\n", + "[1] 0.2283951\n", + "\n", + "$MSE_list[[43]][[58]]\n", + "[1] 0.2050321\n", + "\n", + "$MSE_list[[43]][[59]]\n", + "[1] 0.3186065\n", + "\n", + "$MSE_list[[43]][[60]]\n", + "[1] 0.4218159\n", + "\n", + "$MSE_list[[43]][[61]]\n", + "[1] 0.2048144\n", + "\n", + "$MSE_list[[43]][[62]]\n", + "[1] 0.2087802\n", + "\n", + "$MSE_list[[43]][[63]]\n", + "[1] 0.2796294\n", + "\n", + "$MSE_list[[43]][[64]]\n", + "[1] 0.2914855\n", + "\n", + "$MSE_list[[43]][[65]]\n", + "[1] 0.3234673\n", + "\n", + "$MSE_list[[43]][[66]]\n", + "[1] 0.2581101\n", + "\n", + "$MSE_list[[43]][[67]]\n", + "[1] 0.1088805\n", + "\n", + "$MSE_list[[43]][[68]]\n", + "[1] 0.1939353\n", + "\n", + "$MSE_list[[43]][[69]]\n", + "[1] 0.1598053\n", + "\n", + "$MSE_list[[43]][[70]]\n", + "[1] 0.2491993\n", + "\n", + "$MSE_list[[43]][[71]]\n", + "[1] 0.2694379\n", + "\n", + "$MSE_list[[43]][[72]]\n", + "[1] 0.1706322\n", + "\n", + "$MSE_list[[43]][[73]]\n", + "[1] 0.2504198\n", + "\n", + "$MSE_list[[43]][[74]]\n", + "[1] 0.3420715\n", + "\n", + "$MSE_list[[43]][[75]]\n", + "[1] 0.2726489\n", + "\n", + "$MSE_list[[43]][[76]]\n", + "[1] 0.238515\n", + "\n", + "$MSE_list[[43]][[77]]\n", + "[1] 0.188319\n", + "\n", + "$MSE_list[[43]][[78]]\n", + "[1] 0.2588924\n", + "\n", + "$MSE_list[[43]][[79]]\n", + "[1] 0.2689267\n", + "\n", + "$MSE_list[[43]][[80]]\n", + "[1] 0.3603872\n", + "\n", + "$MSE_list[[43]][[81]]\n", + "[1] 0.295037\n", + "\n", + "$MSE_list[[43]][[82]]\n", + "[1] 0.1014406\n", + "\n", + "$MSE_list[[43]][[83]]\n", + "[1] 0.2755154\n", + "\n", + "$MSE_list[[43]][[84]]\n", + "[1] 0.2623296\n", + "\n", + "$MSE_list[[43]][[85]]\n", + "[1] 0.1438189\n", + "\n", + "$MSE_list[[43]][[86]]\n", + "[1] 0.1877872\n", + "\n", + "$MSE_list[[43]][[87]]\n", + "[1] 0.2516787\n", + "\n", + "$MSE_list[[43]][[88]]\n", + "[1] 0.3248214\n", + "\n", + "$MSE_list[[43]][[89]]\n", + "[1] 0.3603875\n", + "\n", + "$MSE_list[[43]][[90]]\n", + "[1] 0.3234109\n", + "\n", + "$MSE_list[[43]][[91]]\n", + "[1] 0.2957846\n", + "\n", + "$MSE_list[[43]][[92]]\n", + "[1] 0.2590205\n", + "\n", + "$MSE_list[[43]][[93]]\n", + "[1] 0.3553824\n", + "\n", + "$MSE_list[[43]][[94]]\n", + "[1] 0.3253424\n", + "\n", + "$MSE_list[[43]][[95]]\n", + "[1] 0.2793532\n", + "\n", + "$MSE_list[[43]][[96]]\n", + "[1] 0.2385145\n", + "\n", + "$MSE_list[[43]][[97]]\n", + "[1] 0.254346\n", + "\n", + "$MSE_list[[43]][[98]]\n", + "[1] 0.3234926\n", + "\n", + "$MSE_list[[43]][[99]]\n", + "[1] 0.1494794\n", + "\n", + "$MSE_list[[43]][[100]]\n", + "[1] 0.2618933\n", + "\n", + "\n", + "$MSE_list[[44]]\n", + "$MSE_list[[44]][[1]]\n", + "[1] 0.2915223\n", + "\n", + "$MSE_list[[44]][[2]]\n", + "[1] 0.1908143\n", + "\n", + "$MSE_list[[44]][[3]]\n", + "[1] 0.3448581\n", + "\n", + "$MSE_list[[44]][[4]]\n", + "[1] 0.1778467\n", + "\n", + "$MSE_list[[44]][[5]]\n", + "[1] 0.2377727\n", + "\n", + "$MSE_list[[44]][[6]]\n", + "[1] 0.09989621\n", + "\n", + "$MSE_list[[44]][[7]]\n", + "[1] 0.3565465\n", + "\n", + "$MSE_list[[44]][[8]]\n", + "[1] 0.3738245\n", + "\n", + "$MSE_list[[44]][[9]]\n", + "[1] 0.2574483\n", + "\n", + "$MSE_list[[44]][[10]]\n", + "[1] 0.123674\n", + "\n", + "$MSE_list[[44]][[11]]\n", + "[1] 0.1766107\n", + "\n", + "$MSE_list[[44]][[12]]\n", + "[1] 0.2616892\n", + "\n", + "$MSE_list[[44]][[13]]\n", + "[1] 0.334606\n", + "\n", + "$MSE_list[[44]][[14]]\n", + "[1] 0.3474937\n", + "\n", + "$MSE_list[[44]][[15]]\n", + "[1] 0.2062525\n", + "\n", + "$MSE_list[[44]][[16]]\n", + "[1] 0.2886153\n", + "\n", + "$MSE_list[[44]][[17]]\n", + "[1] 0.1012353\n", + "\n", + "$MSE_list[[44]][[18]]\n", + "[1] 0.3576907\n", + "\n", + "$MSE_list[[44]][[19]]\n", + "[1] 0.3680436\n", + "\n", + "$MSE_list[[44]][[20]]\n", + "[1] 0.2530819\n", + "\n", + "$MSE_list[[44]][[21]]\n", + "[1] 0.1997455\n", + "\n", + "$MSE_list[[44]][[22]]\n", + "[1] 0.1507865\n", + "\n", + "$MSE_list[[44]][[23]]\n", + "[1] 0.4111363\n", + "\n", + "$MSE_list[[44]][[24]]\n", + "[1] 0.3689749\n", + "\n", + "$MSE_list[[44]][[25]]\n", + "[1] 0.2697007\n", + "\n", + "$MSE_list[[44]][[26]]\n", + "[1] 0.2738395\n", + "\n", + "$MSE_list[[44]][[27]]\n", + "[1] 0.2506056\n", + "\n", + "$MSE_list[[44]][[28]]\n", + "[1] 0.1439745\n", + "\n", + "$MSE_list[[44]][[29]]\n", + "[1] 0.2504257\n", + "\n", + "$MSE_list[[44]][[30]]\n", + "[1] 0.1604892\n", + "\n", + "$MSE_list[[44]][[31]]\n", + "[1] 0.1784958\n", + "\n", + "$MSE_list[[44]][[32]]\n", + "[1] 0.2104038\n", + "\n", + "$MSE_list[[44]][[33]]\n", + "[1] 0.1699808\n", + "\n", + "$MSE_list[[44]][[34]]\n", + "[1] 0.09168954\n", + "\n", + "$MSE_list[[44]][[35]]\n", + "[1] 0.2457849\n", + "\n", + "$MSE_list[[44]][[36]]\n", + "[1] 0.3028259\n", + "\n", + "$MSE_list[[44]][[37]]\n", + "[1] 0.229018\n", + "\n", + "$MSE_list[[44]][[38]]\n", + "[1] 0.1234713\n", + "\n", + "$MSE_list[[44]][[39]]\n", + "[1] 0.2461642\n", + "\n", + "$MSE_list[[44]][[40]]\n", + "[1] 0.2225708\n", + "\n", + "$MSE_list[[44]][[41]]\n", + "[1] 0.2828777\n", + "\n", + "$MSE_list[[44]][[42]]\n", + "[1] 0.1987786\n", + "\n", + "$MSE_list[[44]][[43]]\n", + "[1] 0.3350951\n", + "\n", + "$MSE_list[[44]][[44]]\n", + "[1] 0.3509864\n", + "\n", + "$MSE_list[[44]][[45]]\n", + "[1] 0.1399368\n", + "\n", + "$MSE_list[[44]][[46]]\n", + "[1] 0.3481034\n", + "\n", + "$MSE_list[[44]][[47]]\n", + "[1] 0.261335\n", + "\n", + "$MSE_list[[44]][[48]]\n", + "[1] 0.3420274\n", + "\n", + "$MSE_list[[44]][[49]]\n", + "[1] 0.2016325\n", + "\n", + "$MSE_list[[44]][[50]]\n", + "[1] 0.1586266\n", + "\n", + "$MSE_list[[44]][[51]]\n", + "[1] 0.3070339\n", + "\n", + "$MSE_list[[44]][[52]]\n", + "[1] 0.3429951\n", + "\n", + "$MSE_list[[44]][[53]]\n", + "[1] 0.1842849\n", + "\n", + "$MSE_list[[44]][[54]]\n", + "[1] 0.1906501\n", + "\n", + "$MSE_list[[44]][[55]]\n", + "[1] 0.2696213\n", + "\n", + "$MSE_list[[44]][[56]]\n", + "[1] 0.1196541\n", + "\n", + "$MSE_list[[44]][[57]]\n", + "[1] 0.1018567\n", + "\n", + "$MSE_list[[44]][[58]]\n", + "[1] 0.1622883\n", + "\n", + "$MSE_list[[44]][[59]]\n", + "[1] 0.26829\n", + "\n", + "$MSE_list[[44]][[60]]\n", + "[1] 0.2218734\n", + "\n", + "$MSE_list[[44]][[61]]\n", + "[1] 0.3099364\n", + "\n", + "$MSE_list[[44]][[62]]\n", + "[1] 0.2498883\n", + "\n", + "$MSE_list[[44]][[63]]\n", + "[1] 0.2130733\n", + "\n", + "$MSE_list[[44]][[64]]\n", + "[1] 0.4234895\n", + "\n", + "$MSE_list[[44]][[65]]\n", + "[1] 0.3204526\n", + "\n", + "$MSE_list[[44]][[66]]\n", + "[1] 0.229569\n", + "\n", + "$MSE_list[[44]][[67]]\n", + "[1] 0.3790439\n", + "\n", + "$MSE_list[[44]][[68]]\n", + "[1] 0.2049801\n", + "\n", + "$MSE_list[[44]][[69]]\n", + "[1] 0.1401169\n", + "\n", + "$MSE_list[[44]][[70]]\n", + "[1] 0.3169664\n", + "\n", + "$MSE_list[[44]][[71]]\n", + "[1] 0.2746653\n", + "\n", + "$MSE_list[[44]][[72]]\n", + "[1] 0.2477202\n", + "\n", + "$MSE_list[[44]][[73]]\n", + "[1] 0.249341\n", + "\n", + "$MSE_list[[44]][[74]]\n", + "[1] 0.2227832\n", + "\n", + "$MSE_list[[44]][[75]]\n", + "[1] 0.381373\n", + "\n", + "$MSE_list[[44]][[76]]\n", + "[1] 0.1460775\n", + "\n", + "$MSE_list[[44]][[77]]\n", + "[1] 0.3041193\n", + "\n", + "$MSE_list[[44]][[78]]\n", + "[1] 0.2305858\n", + "\n", + "$MSE_list[[44]][[79]]\n", + "[1] 0.2678357\n", + "\n", + "$MSE_list[[44]][[80]]\n", + "[1] 0.3573284\n", + "\n", + "$MSE_list[[44]][[81]]\n", + "[1] 0.3121912\n", + "\n", + "$MSE_list[[44]][[82]]\n", + "[1] 0.3564711\n", + "\n", + "$MSE_list[[44]][[83]]\n", + "[1] 0.2728594\n", + "\n", + "$MSE_list[[44]][[84]]\n", + "[1] 0.2124098\n", + "\n", + "$MSE_list[[44]][[85]]\n", + "[1] 0.2348613\n", + "\n", + "$MSE_list[[44]][[86]]\n", + "[1] 0.1937557\n", + "\n", + "$MSE_list[[44]][[87]]\n", + "[1] 0.2578875\n", + "\n", + "$MSE_list[[44]][[88]]\n", + "[1] 0.1926616\n", + "\n", + "$MSE_list[[44]][[89]]\n", + "[1] 0.3410006\n", + "\n", + "$MSE_list[[44]][[90]]\n", + "[1] 0.1694191\n", + "\n", + "$MSE_list[[44]][[91]]\n", + "[1] 0.1925477\n", + "\n", + "$MSE_list[[44]][[92]]\n", + "[1] 0.2149091\n", + "\n", + "$MSE_list[[44]][[93]]\n", + "[1] 0.3040743\n", + "\n", + "$MSE_list[[44]][[94]]\n", + "[1] 0.3760341\n", + "\n", + "$MSE_list[[44]][[95]]\n", + "[1] 0.2116988\n", + "\n", + "$MSE_list[[44]][[96]]\n", + "[1] 0.3329075\n", + "\n", + "$MSE_list[[44]][[97]]\n", + "[1] 0.3117871\n", + "\n", + "$MSE_list[[44]][[98]]\n", + "[1] 0.3021266\n", + "\n", + "$MSE_list[[44]][[99]]\n", + "[1] 0.2153809\n", + "\n", + "$MSE_list[[44]][[100]]\n", + "[1] 0.2509871\n", + "\n", + "\n", + "$MSE_list[[45]]\n", + "$MSE_list[[45]][[1]]\n", + "[1] 0.2297754\n", + "\n", + "$MSE_list[[45]][[2]]\n", + "[1] 0.3614818\n", + "\n", + "$MSE_list[[45]][[3]]\n", + "[1] 0.2238461\n", + "\n", + "$MSE_list[[45]][[4]]\n", + "[1] 0.2012553\n", + "\n", + "$MSE_list[[45]][[5]]\n", + "[1] 0.1969358\n", + "\n", + "$MSE_list[[45]][[6]]\n", + "[1] 0.2206493\n", + "\n", + "$MSE_list[[45]][[7]]\n", + "[1] 0.2915603\n", + "\n", + "$MSE_list[[45]][[8]]\n", + "[1] 0.2803751\n", + "\n", + "$MSE_list[[45]][[9]]\n", + "[1] 0.2227443\n", + "\n", + "$MSE_list[[45]][[10]]\n", + "[1] 0.1312707\n", + "\n", + "$MSE_list[[45]][[11]]\n", + "[1] 0.2562357\n", + "\n", + "$MSE_list[[45]][[12]]\n", + "[1] 0.2880867\n", + "\n", + "$MSE_list[[45]][[13]]\n", + "[1] 0.2097467\n", + "\n", + "$MSE_list[[45]][[14]]\n", + "[1] 0.4060313\n", + "\n", + "$MSE_list[[45]][[15]]\n", + "[1] 0.2536746\n", + "\n", + "$MSE_list[[45]][[16]]\n", + "[1] 0.285707\n", + "\n", + "$MSE_list[[45]][[17]]\n", + "[1] 0.4496502\n", + "\n", + "$MSE_list[[45]][[18]]\n", + "[1] 0.2487425\n", + "\n", + "$MSE_list[[45]][[19]]\n", + "[1] 0.3274188\n", + "\n", + "$MSE_list[[45]][[20]]\n", + "[1] 0.2015236\n", + "\n", + "$MSE_list[[45]][[21]]\n", + "[1] 0.3363428\n", + "\n", + "$MSE_list[[45]][[22]]\n", + "[1] 0.2532509\n", + "\n", + "$MSE_list[[45]][[23]]\n", + "[1] 0.3331461\n", + "\n", + "$MSE_list[[45]][[24]]\n", + "[1] 0.1744391\n", + "\n", + "$MSE_list[[45]][[25]]\n", + "[1] 0.3966775\n", + "\n", + "$MSE_list[[45]][[26]]\n", + "[1] 0.3271027\n", + "\n", + "$MSE_list[[45]][[27]]\n", + "[1] 0.2932019\n", + "\n", + "$MSE_list[[45]][[28]]\n", + "[1] 0.1849518\n", + "\n", + "$MSE_list[[45]][[29]]\n", + "[1] 0.171185\n", + "\n", + "$MSE_list[[45]][[30]]\n", + "[1] 0.2071147\n", + "\n", + "$MSE_list[[45]][[31]]\n", + "[1] 0.2637878\n", + "\n", + "$MSE_list[[45]][[32]]\n", + "[1] 0.2789428\n", + "\n", + "$MSE_list[[45]][[33]]\n", + "[1] 0.3577556\n", + "\n", + "$MSE_list[[45]][[34]]\n", + "[1] 0.2351752\n", + "\n", + "$MSE_list[[45]][[35]]\n", + "[1] 0.1702868\n", + "\n", + "$MSE_list[[45]][[36]]\n", + "[1] 0.266319\n", + "\n", + "$MSE_list[[45]][[37]]\n", + "[1] 0.2707681\n", + "\n", + "$MSE_list[[45]][[38]]\n", + "[1] 0.4209142\n", + "\n", + "$MSE_list[[45]][[39]]\n", + "[1] 0.3111149\n", + "\n", + "$MSE_list[[45]][[40]]\n", + "[1] 0.1455123\n", + "\n", + "$MSE_list[[45]][[41]]\n", + "[1] 0.4866053\n", + "\n", + "$MSE_list[[45]][[42]]\n", + "[1] 0.2977727\n", + "\n", + "$MSE_list[[45]][[43]]\n", + "[1] 0.2773313\n", + "\n", + "$MSE_list[[45]][[44]]\n", + "[1] 0.3065691\n", + "\n", + "$MSE_list[[45]][[45]]\n", + "[1] 0.1894607\n", + "\n", + "$MSE_list[[45]][[46]]\n", + "[1] 0.2383239\n", + "\n", + "$MSE_list[[45]][[47]]\n", + "[1] 0.2988031\n", + "\n", + "$MSE_list[[45]][[48]]\n", + "[1] 0.2639062\n", + "\n", + "$MSE_list[[45]][[49]]\n", + "[1] 0.3642031\n", + "\n", + "$MSE_list[[45]][[50]]\n", + "[1] 0.1410855\n", + "\n", + "$MSE_list[[45]][[51]]\n", + "[1] 0.3682423\n", + "\n", + "$MSE_list[[45]][[52]]\n", + "[1] 0.5126053\n", + "\n", + "$MSE_list[[45]][[53]]\n", + "[1] 0.1871024\n", + "\n", + "$MSE_list[[45]][[54]]\n", + "[1] 0.3735755\n", + "\n", + "$MSE_list[[45]][[55]]\n", + "[1] 0.2568211\n", + "\n", + "$MSE_list[[45]][[56]]\n", + "[1] 0.362546\n", + "\n", + "$MSE_list[[45]][[57]]\n", + "[1] 0.3894411\n", + "\n", + "$MSE_list[[45]][[58]]\n", + "[1] 0.1783996\n", + "\n", + "$MSE_list[[45]][[59]]\n", + "[1] 0.3145781\n", + "\n", + "$MSE_list[[45]][[60]]\n", + "[1] 0.2460197\n", + "\n", + "$MSE_list[[45]][[61]]\n", + "[1] 0.2422825\n", + "\n", + "$MSE_list[[45]][[62]]\n", + "[1] 0.1333027\n", + "\n", + "$MSE_list[[45]][[63]]\n", + "[1] 0.3363775\n", + "\n", + "$MSE_list[[45]][[64]]\n", + "[1] 0.2124845\n", + "\n", + "$MSE_list[[45]][[65]]\n", + "[1] 0.2333455\n", + "\n", + "$MSE_list[[45]][[66]]\n", + "[1] 0.2591318\n", + "\n", + "$MSE_list[[45]][[67]]\n", + "[1] 0.2324501\n", + "\n", + "$MSE_list[[45]][[68]]\n", + "[1] 0.2048606\n", + "\n", + "$MSE_list[[45]][[69]]\n", + "[1] 0.4334988\n", + "\n", + "$MSE_list[[45]][[70]]\n", + "[1] 0.2231941\n", + "\n", + "$MSE_list[[45]][[71]]\n", + "[1] 0.2183981\n", + "\n", + "$MSE_list[[45]][[72]]\n", + "[1] 0.1779698\n", + "\n", + "$MSE_list[[45]][[73]]\n", + "[1] 0.2218334\n", + "\n", + "$MSE_list[[45]][[74]]\n", + "[1] 0.3881836\n", + "\n", + "$MSE_list[[45]][[75]]\n", + "[1] 0.3569764\n", + "\n", + "$MSE_list[[45]][[76]]\n", + "[1] 0.08235826\n", + "\n", + "$MSE_list[[45]][[77]]\n", + "[1] 0.2895716\n", + "\n", + "$MSE_list[[45]][[78]]\n", + "[1] 0.3299894\n", + "\n", + "$MSE_list[[45]][[79]]\n", + "[1] 0.2677342\n", + "\n", + "$MSE_list[[45]][[80]]\n", + "[1] 0.1442969\n", + "\n", + "$MSE_list[[45]][[81]]\n", + "[1] 0.2678203\n", + "\n", + "$MSE_list[[45]][[82]]\n", + "[1] 0.2840195\n", + "\n", + "$MSE_list[[45]][[83]]\n", + "[1] 0.1927421\n", + "\n", + "$MSE_list[[45]][[84]]\n", + "[1] 0.3343503\n", + "\n", + "$MSE_list[[45]][[85]]\n", + "[1] 0.3841899\n", + "\n", + "$MSE_list[[45]][[86]]\n", + "[1] 0.2509347\n", + "\n", + "$MSE_list[[45]][[87]]\n", + "[1] 0.3019417\n", + "\n", + "$MSE_list[[45]][[88]]\n", + "[1] 0.4635326\n", + "\n", + "$MSE_list[[45]][[89]]\n", + "[1] 0.2748646\n", + "\n", + "$MSE_list[[45]][[90]]\n", + "[1] 0.1230042\n", + "\n", + "$MSE_list[[45]][[91]]\n", + "[1] 0.4015307\n", + "\n", + "$MSE_list[[45]][[92]]\n", + "[1] 0.2272949\n", + "\n", + "$MSE_list[[45]][[93]]\n", + "[1] 0.227396\n", + "\n", + "$MSE_list[[45]][[94]]\n", + "[1] 0.2267932\n", + "\n", + "$MSE_list[[45]][[95]]\n", + "[1] 0.2821869\n", + "\n", + "$MSE_list[[45]][[96]]\n", + "[1] 0.3443072\n", + "\n", + "$MSE_list[[45]][[97]]\n", + "[1] 0.1702511\n", + "\n", + "$MSE_list[[45]][[98]]\n", + "[1] 0.1845692\n", + "\n", + "$MSE_list[[45]][[99]]\n", + "[1] 0.2841106\n", + "\n", + "$MSE_list[[45]][[100]]\n", + "[1] 0.3424863\n", + "\n", + "\n", + "$MSE_list[[46]]\n", + "$MSE_list[[46]][[1]]\n", + "[1] 0.1246135\n", + "\n", + "$MSE_list[[46]][[2]]\n", + "[1] 0.2163589\n", + "\n", + "$MSE_list[[46]][[3]]\n", + "[1] 0.2542803\n", + "\n", + "$MSE_list[[46]][[4]]\n", + "[1] 0.1707381\n", + "\n", + "$MSE_list[[46]][[5]]\n", + "[1] 0.3097821\n", + "\n", + "$MSE_list[[46]][[6]]\n", + "[1] 0.3036722\n", + "\n", + "$MSE_list[[46]][[7]]\n", + "[1] 0.162795\n", + "\n", + "$MSE_list[[46]][[8]]\n", + "[1] 0.2150512\n", + "\n", + "$MSE_list[[46]][[9]]\n", + "[1] 0.2138148\n", + "\n", + "$MSE_list[[46]][[10]]\n", + "[1] 0.2811533\n", + "\n", + "$MSE_list[[46]][[11]]\n", + "[1] 0.09479019\n", + "\n", + "$MSE_list[[46]][[12]]\n", + "[1] 0.1683198\n", + "\n", + "$MSE_list[[46]][[13]]\n", + "[1] 0.2237812\n", + "\n", + "$MSE_list[[46]][[14]]\n", + "[1] 0.2126794\n", + "\n", + "$MSE_list[[46]][[15]]\n", + "[1] 0.1029279\n", + "\n", + "$MSE_list[[46]][[16]]\n", + "[1] 0.09921164\n", + "\n", + "$MSE_list[[46]][[17]]\n", + "[1] 0.3068954\n", + "\n", + "$MSE_list[[46]][[18]]\n", + "[1] 0.23846\n", + "\n", + "$MSE_list[[46]][[19]]\n", + "[1] 0.308488\n", + "\n", + "$MSE_list[[46]][[20]]\n", + "[1] 0.2608309\n", + "\n", + "$MSE_list[[46]][[21]]\n", + "[1] 0.2839346\n", + "\n", + "$MSE_list[[46]][[22]]\n", + "[1] 0.2705525\n", + "\n", + "$MSE_list[[46]][[23]]\n", + "[1] 0.2622536\n", + "\n", + "$MSE_list[[46]][[24]]\n", + "[1] 0.2208303\n", + "\n", + "$MSE_list[[46]][[25]]\n", + "[1] 0.3680008\n", + "\n", + "$MSE_list[[46]][[26]]\n", + "[1] 0.1705131\n", + "\n", + "$MSE_list[[46]][[27]]\n", + "[1] 0.3582304\n", + "\n", + "$MSE_list[[46]][[28]]\n", + "[1] 0.1352608\n", + "\n", + "$MSE_list[[46]][[29]]\n", + "[1] 0.2664346\n", + "\n", + "$MSE_list[[46]][[30]]\n", + "[1] 0.2526414\n", + "\n", + "$MSE_list[[46]][[31]]\n", + "[1] 0.3364037\n", + "\n", + "$MSE_list[[46]][[32]]\n", + "[1] 0.2130227\n", + "\n", + "$MSE_list[[46]][[33]]\n", + "[1] 0.1199253\n", + "\n", + "$MSE_list[[46]][[34]]\n", + "[1] 0.2375302\n", + "\n", + "$MSE_list[[46]][[35]]\n", + "[1] 0.24553\n", + "\n", + "$MSE_list[[46]][[36]]\n", + "[1] 0.3537638\n", + "\n", + "$MSE_list[[46]][[37]]\n", + "[1] 0.3051596\n", + "\n", + "$MSE_list[[46]][[38]]\n", + "[1] 0.2268277\n", + "\n", + "$MSE_list[[46]][[39]]\n", + "[1] 0.1752207\n", + "\n", + "$MSE_list[[46]][[40]]\n", + "[1] 0.1086847\n", + "\n", + "$MSE_list[[46]][[41]]\n", + "[1] 0.2630284\n", + "\n", + "$MSE_list[[46]][[42]]\n", + "[1] 0.3510671\n", + "\n", + "$MSE_list[[46]][[43]]\n", + "[1] 0.2458438\n", + "\n", + "$MSE_list[[46]][[44]]\n", + "[1] 0.3428805\n", + "\n", + "$MSE_list[[46]][[45]]\n", + "[1] 0.2740601\n", + "\n", + "$MSE_list[[46]][[46]]\n", + "[1] 0.1620038\n", + "\n", + "$MSE_list[[46]][[47]]\n", + "[1] 0.3284246\n", + "\n", + "$MSE_list[[46]][[48]]\n", + "[1] 0.1919422\n", + "\n", + "$MSE_list[[46]][[49]]\n", + "[1] 0.2619879\n", + "\n", + "$MSE_list[[46]][[50]]\n", + "[1] 0.1494559\n", + "\n", + "$MSE_list[[46]][[51]]\n", + "[1] 0.3293116\n", + "\n", + "$MSE_list[[46]][[52]]\n", + "[1] 0.1746628\n", + "\n", + "$MSE_list[[46]][[53]]\n", + "[1] 0.2212595\n", + "\n", + "$MSE_list[[46]][[54]]\n", + "[1] 0.1751014\n", + "\n", + "$MSE_list[[46]][[55]]\n", + "[1] 0.1884066\n", + "\n", + "$MSE_list[[46]][[56]]\n", + "[1] 0.2417506\n", + "\n", + "$MSE_list[[46]][[57]]\n", + "[1] 0.1611659\n", + "\n", + "$MSE_list[[46]][[58]]\n", + "[1] 0.3138934\n", + "\n", + "$MSE_list[[46]][[59]]\n", + "[1] 0.2732488\n", + "\n", + "$MSE_list[[46]][[60]]\n", + "[1] 0.2270382\n", + "\n", + "$MSE_list[[46]][[61]]\n", + "[1] 0.3778521\n", + "\n", + "$MSE_list[[46]][[62]]\n", + "[1] 0.1651734\n", + "\n", + "$MSE_list[[46]][[63]]\n", + "[1] 0.2805232\n", + "\n", + "$MSE_list[[46]][[64]]\n", + "[1] 0.3189769\n", + "\n", + "$MSE_list[[46]][[65]]\n", + "[1] 0.1718632\n", + "\n", + "$MSE_list[[46]][[66]]\n", + "[1] 0.2542818\n", + "\n", + "$MSE_list[[46]][[67]]\n", + "[1] 0.3796391\n", + "\n", + "$MSE_list[[46]][[68]]\n", + "[1] 0.2478465\n", + "\n", + "$MSE_list[[46]][[69]]\n", + "[1] 0.2357529\n", + "\n", + "$MSE_list[[46]][[70]]\n", + "[1] 0.3781463\n", + "\n", + "$MSE_list[[46]][[71]]\n", + "[1] 0.2221405\n", + "\n", + "$MSE_list[[46]][[72]]\n", + "[1] 0.2902769\n", + "\n", + "$MSE_list[[46]][[73]]\n", + "[1] 0.2375287\n", + "\n", + "$MSE_list[[46]][[74]]\n", + "[1] 0.1248016\n", + "\n", + "$MSE_list[[46]][[75]]\n", + "[1] 0.2763068\n", + "\n", + "$MSE_list[[46]][[76]]\n", + "[1] 0.1825848\n", + "\n", + "$MSE_list[[46]][[77]]\n", + "[1] 0.2173474\n", + "\n", + "$MSE_list[[46]][[78]]\n", + "[1] 0.251515\n", + "\n", + "$MSE_list[[46]][[79]]\n", + "[1] 0.1950582\n", + "\n", + "$MSE_list[[46]][[80]]\n", + "[1] 0.3552812\n", + "\n", + "$MSE_list[[46]][[81]]\n", + "[1] 0.3354779\n", + "\n", + "$MSE_list[[46]][[82]]\n", + "[1] 0.2304671\n", + "\n", + "$MSE_list[[46]][[83]]\n", + "[1] 0.3676365\n", + "\n", + "$MSE_list[[46]][[84]]\n", + "[1] 0.2629103\n", + "\n", + "$MSE_list[[46]][[85]]\n", + "[1] 0.2651659\n", + "\n", + "$MSE_list[[46]][[86]]\n", + "[1] 0.3708559\n", + "\n", + "$MSE_list[[46]][[87]]\n", + "[1] 0.3194706\n", + "\n", + "$MSE_list[[46]][[88]]\n", + "[1] 0.2766658\n", + "\n", + "$MSE_list[[46]][[89]]\n", + "[1] 0.3038198\n", + "\n", + "$MSE_list[[46]][[90]]\n", + "[1] 0.2352727\n", + "\n", + "$MSE_list[[46]][[91]]\n", + "[1] 0.4171894\n", + "\n", + "$MSE_list[[46]][[92]]\n", + "[1] 0.2743958\n", + "\n", + "$MSE_list[[46]][[93]]\n", + "[1] 0.2912571\n", + "\n", + "$MSE_list[[46]][[94]]\n", + "[1] 0.2230682\n", + "\n", + "$MSE_list[[46]][[95]]\n", + "[1] 0.1528083\n", + "\n", + "$MSE_list[[46]][[96]]\n", + "[1] 0.2782526\n", + "\n", + "$MSE_list[[46]][[97]]\n", + "[1] 0.2079749\n", + "\n", + "$MSE_list[[46]][[98]]\n", + "[1] 0.145417\n", + "\n", + "$MSE_list[[46]][[99]]\n", + "[1] 0.1681902\n", + "\n", + "$MSE_list[[46]][[100]]\n", + "[1] 0.1642541\n", + "\n", + "\n", + "$MSE_list[[47]]\n", + "$MSE_list[[47]][[1]]\n", + "[1] 0.2028331\n", + "\n", + "$MSE_list[[47]][[2]]\n", + "[1] 0.333249\n", + "\n", + "$MSE_list[[47]][[3]]\n", + "[1] 0.1728927\n", + "\n", + "$MSE_list[[47]][[4]]\n", + "[1] 0.2756341\n", + "\n", + "$MSE_list[[47]][[5]]\n", + "[1] 0.2119377\n", + "\n", + "$MSE_list[[47]][[6]]\n", + "[1] 0.2112562\n", + "\n", + "$MSE_list[[47]][[7]]\n", + "[1] 0.2746159\n", + "\n", + "$MSE_list[[47]][[8]]\n", + "[1] 0.2128827\n", + "\n", + "$MSE_list[[47]][[9]]\n", + "[1] 0.1416523\n", + "\n", + "$MSE_list[[47]][[10]]\n", + "[1] 0.2171171\n", + "\n", + "$MSE_list[[47]][[11]]\n", + "[1] 0.3036882\n", + "\n", + "$MSE_list[[47]][[12]]\n", + "[1] 0.1594381\n", + "\n", + "$MSE_list[[47]][[13]]\n", + "[1] 0.1901925\n", + "\n", + "$MSE_list[[47]][[14]]\n", + "[1] 0.2745835\n", + "\n", + "$MSE_list[[47]][[15]]\n", + "[1] 0.2583467\n", + "\n", + "$MSE_list[[47]][[16]]\n", + "[1] 0.2374715\n", + "\n", + "$MSE_list[[47]][[17]]\n", + "[1] 0.2334888\n", + "\n", + "$MSE_list[[47]][[18]]\n", + "[1] 0.244438\n", + "\n", + "$MSE_list[[47]][[19]]\n", + "[1] 0.2476426\n", + "\n", + "$MSE_list[[47]][[20]]\n", + "[1] 0.2044058\n", + "\n", + "$MSE_list[[47]][[21]]\n", + "[1] 0.3874189\n", + "\n", + "$MSE_list[[47]][[22]]\n", + "[1] 0.2942954\n", + "\n", + "$MSE_list[[47]][[23]]\n", + "[1] 0.3755971\n", + "\n", + "$MSE_list[[47]][[24]]\n", + "[1] 0.1721139\n", + "\n", + "$MSE_list[[47]][[25]]\n", + "[1] 0.2512644\n", + "\n", + "$MSE_list[[47]][[26]]\n", + "[1] 0.2786021\n", + "\n", + "$MSE_list[[47]][[27]]\n", + "[1] 0.2034253\n", + "\n", + "$MSE_list[[47]][[28]]\n", + "[1] 0.1542801\n", + "\n", + "$MSE_list[[47]][[29]]\n", + "[1] 0.2581671\n", + "\n", + "$MSE_list[[47]][[30]]\n", + "[1] 0.203509\n", + "\n", + "$MSE_list[[47]][[31]]\n", + "[1] 0.265005\n", + "\n", + "$MSE_list[[47]][[32]]\n", + "[1] 0.2367443\n", + "\n", + "$MSE_list[[47]][[33]]\n", + "[1] 0.3067641\n", + "\n", + "$MSE_list[[47]][[34]]\n", + "[1] 0.1566815\n", + "\n", + "$MSE_list[[47]][[35]]\n", + "[1] 0.1961433\n", + "\n", + "$MSE_list[[47]][[36]]\n", + "[1] 0.2788434\n", + "\n", + "$MSE_list[[47]][[37]]\n", + "[1] 0.248193\n", + "\n", + "$MSE_list[[47]][[38]]\n", + "[1] 0.255509\n", + "\n", + "$MSE_list[[47]][[39]]\n", + "[1] 0.1453469\n", + "\n", + "$MSE_list[[47]][[40]]\n", + "[1] 0.4227726\n", + "\n", + "$MSE_list[[47]][[41]]\n", + "[1] 0.2474162\n", + "\n", + "$MSE_list[[47]][[42]]\n", + "[1] 0.2893535\n", + "\n", + "$MSE_list[[47]][[43]]\n", + "[1] 0.2719392\n", + "\n", + "$MSE_list[[47]][[44]]\n", + "[1] 0.1087082\n", + "\n", + "$MSE_list[[47]][[45]]\n", + "[1] 0.3168444\n", + "\n", + "$MSE_list[[47]][[46]]\n", + "[1] 0.1466998\n", + "\n", + "$MSE_list[[47]][[47]]\n", + "[1] 0.2753339\n", + "\n", + "$MSE_list[[47]][[48]]\n", + "[1] 0.2893258\n", + "\n", + "$MSE_list[[47]][[49]]\n", + "[1] 0.2980663\n", + "\n", + "$MSE_list[[47]][[50]]\n", + "[1] 0.2880181\n", + "\n", + "$MSE_list[[47]][[51]]\n", + "[1] 0.1606212\n", + "\n", + "$MSE_list[[47]][[52]]\n", + "[1] 0.2264336\n", + "\n", + "$MSE_list[[47]][[53]]\n", + "[1] 0.1202531\n", + "\n", + "$MSE_list[[47]][[54]]\n", + "[1] 0.222452\n", + "\n", + "$MSE_list[[47]][[55]]\n", + "[1] 0.3281297\n", + "\n", + "$MSE_list[[47]][[56]]\n", + "[1] 0.1142991\n", + "\n", + "$MSE_list[[47]][[57]]\n", + "[1] 0.3162666\n", + "\n", + "$MSE_list[[47]][[58]]\n", + "[1] 0.2967806\n", + "\n", + "$MSE_list[[47]][[59]]\n", + "[1] 0.2535084\n", + "\n", + "$MSE_list[[47]][[60]]\n", + "[1] 0.4167009\n", + "\n", + "$MSE_list[[47]][[61]]\n", + "[1] 0.244863\n", + "\n", + "$MSE_list[[47]][[62]]\n", + "[1] 0.2324725\n", + "\n", + "$MSE_list[[47]][[63]]\n", + "[1] 0.3095049\n", + "\n", + "$MSE_list[[47]][[64]]\n", + "[1] 0.268877\n", + "\n", + "$MSE_list[[47]][[65]]\n", + "[1] 0.3183918\n", + "\n", + "$MSE_list[[47]][[66]]\n", + "[1] 0.1796863\n", + "\n", + "$MSE_list[[47]][[67]]\n", + "[1] 0.1411623\n", + "\n", + "$MSE_list[[47]][[68]]\n", + "[1] 0.2751551\n", + "\n", + "$MSE_list[[47]][[69]]\n", + "[1] 0.1663448\n", + "\n", + "$MSE_list[[47]][[70]]\n", + "[1] 0.2459281\n", + "\n", + "$MSE_list[[47]][[71]]\n", + "[1] 0.2197218\n", + "\n", + "$MSE_list[[47]][[72]]\n", + "[1] 0.1791157\n", + "\n", + "$MSE_list[[47]][[73]]\n", + "[1] 0.1014125\n", + "\n", + "$MSE_list[[47]][[74]]\n", + "[1] 0.2044907\n", + "\n", + "$MSE_list[[47]][[75]]\n", + "[1] 0.185936\n", + "\n", + "$MSE_list[[47]][[76]]\n", + "[1] 0.2292223\n", + "\n", + "$MSE_list[[47]][[77]]\n", + "[1] 0.3395124\n", + "\n", + "$MSE_list[[47]][[78]]\n", + "[1] 0.1895016\n", + "\n", + "$MSE_list[[47]][[79]]\n", + "[1] 0.201532\n", + "\n", + "$MSE_list[[47]][[80]]\n", + "[1] 0.1360224\n", + "\n", + "$MSE_list[[47]][[81]]\n", + "[1] 0.1494336\n", + "\n", + "$MSE_list[[47]][[82]]\n", + "[1] 0.4164058\n", + "\n", + "$MSE_list[[47]][[83]]\n", + "[1] 0.1040307\n", + "\n", + "$MSE_list[[47]][[84]]\n", + "[1] 0.2849502\n", + "\n", + "$MSE_list[[47]][[85]]\n", + "[1] 0.3013841\n", + "\n", + "$MSE_list[[47]][[86]]\n", + "[1] 0.1562716\n", + "\n", + "$MSE_list[[47]][[87]]\n", + "[1] 0.2460635\n", + "\n", + "$MSE_list[[47]][[88]]\n", + "[1] 0.2286996\n", + "\n", + "$MSE_list[[47]][[89]]\n", + "[1] 0.2153939\n", + "\n", + "$MSE_list[[47]][[90]]\n", + "[1] 0.1444939\n", + "\n", + "$MSE_list[[47]][[91]]\n", + "[1] 0.2180977\n", + "\n", + "$MSE_list[[47]][[92]]\n", + "[1] 0.2389204\n", + "\n", + "$MSE_list[[47]][[93]]\n", + "[1] 0.2996565\n", + "\n", + "$MSE_list[[47]][[94]]\n", + "[1] 0.263018\n", + "\n", + "$MSE_list[[47]][[95]]\n", + "[1] 0.09442859\n", + "\n", + "$MSE_list[[47]][[96]]\n", + "[1] 0.2206898\n", + "\n", + "$MSE_list[[47]][[97]]\n", + "[1] 0.1494009\n", + "\n", + "$MSE_list[[47]][[98]]\n", + "[1] 0.17505\n", + "\n", + "$MSE_list[[47]][[99]]\n", + "[1] 0.3257411\n", + "\n", + "$MSE_list[[47]][[100]]\n", + "[1] 0.2717122\n", + "\n", + "\n", + "$MSE_list[[48]]\n", + "$MSE_list[[48]][[1]]\n", + "[1] 0.2759381\n", + "\n", + "$MSE_list[[48]][[2]]\n", + "[1] 0.2255551\n", + "\n", + "$MSE_list[[48]][[3]]\n", + "[1] 0.2934294\n", + "\n", + "$MSE_list[[48]][[4]]\n", + "[1] 0.2558427\n", + "\n", + "$MSE_list[[48]][[5]]\n", + "[1] 0.2900049\n", + "\n", + "$MSE_list[[48]][[6]]\n", + "[1] 0.2590876\n", + "\n", + "$MSE_list[[48]][[7]]\n", + "[1] 0.4053022\n", + "\n", + "$MSE_list[[48]][[8]]\n", + "[1] 0.4091601\n", + "\n", + "$MSE_list[[48]][[9]]\n", + "[1] 0.1952539\n", + "\n", + "$MSE_list[[48]][[10]]\n", + "[1] 0.2272769\n", + "\n", + "$MSE_list[[48]][[11]]\n", + "[1] 0.2198708\n", + "\n", + "$MSE_list[[48]][[12]]\n", + "[1] 0.3415673\n", + "\n", + "$MSE_list[[48]][[13]]\n", + "[1] 0.1787405\n", + "\n", + "$MSE_list[[48]][[14]]\n", + "[1] 0.3420934\n", + "\n", + "$MSE_list[[48]][[15]]\n", + "[1] 0.1963005\n", + "\n", + "$MSE_list[[48]][[16]]\n", + "[1] 0.2576413\n", + "\n", + "$MSE_list[[48]][[17]]\n", + "[1] 0.2198192\n", + "\n", + "$MSE_list[[48]][[18]]\n", + "[1] 0.3958302\n", + "\n", + "$MSE_list[[48]][[19]]\n", + "[1] 0.18375\n", + "\n", + "$MSE_list[[48]][[20]]\n", + "[1] 0.1901452\n", + "\n", + "$MSE_list[[48]][[21]]\n", + "[1] 0.3098942\n", + "\n", + "$MSE_list[[48]][[22]]\n", + "[1] 0.2301862\n", + "\n", + "$MSE_list[[48]][[23]]\n", + "[1] 0.2324491\n", + "\n", + "$MSE_list[[48]][[24]]\n", + "[1] 0.2821236\n", + "\n", + "$MSE_list[[48]][[25]]\n", + "[1] 0.2166151\n", + "\n", + "$MSE_list[[48]][[26]]\n", + "[1] 0.1504197\n", + "\n", + "$MSE_list[[48]][[27]]\n", + "[1] 0.2173499\n", + "\n", + "$MSE_list[[48]][[28]]\n", + "[1] 0.3534711\n", + "\n", + "$MSE_list[[48]][[29]]\n", + "[1] 0.2973262\n", + "\n", + "$MSE_list[[48]][[30]]\n", + "[1] 0.1624918\n", + "\n", + "$MSE_list[[48]][[31]]\n", + "[1] 0.2432354\n", + "\n", + "$MSE_list[[48]][[32]]\n", + "[1] 0.1223731\n", + "\n", + "$MSE_list[[48]][[33]]\n", + "[1] 0.371046\n", + "\n", + "$MSE_list[[48]][[34]]\n", + "[1] 0.3071476\n", + "\n", + "$MSE_list[[48]][[35]]\n", + "[1] 0.2341323\n", + "\n", + "$MSE_list[[48]][[36]]\n", + "[1] 0.2270341\n", + "\n", + "$MSE_list[[48]][[37]]\n", + "[1] 0.2031155\n", + "\n", + "$MSE_list[[48]][[38]]\n", + "[1] 0.1791512\n", + "\n", + "$MSE_list[[48]][[39]]\n", + "[1] 0.3234903\n", + "\n", + "$MSE_list[[48]][[40]]\n", + "[1] 0.2473098\n", + "\n", + "$MSE_list[[48]][[41]]\n", + "[1] 0.2152202\n", + "\n", + "$MSE_list[[48]][[42]]\n", + "[1] 0.2480701\n", + "\n", + "$MSE_list[[48]][[43]]\n", + "[1] 0.2407865\n", + "\n", + "$MSE_list[[48]][[44]]\n", + "[1] 0.2552496\n", + "\n", + "$MSE_list[[48]][[45]]\n", + "[1] 0.3150785\n", + "\n", + "$MSE_list[[48]][[46]]\n", + "[1] 0.1228787\n", + "\n", + "$MSE_list[[48]][[47]]\n", + "[1] 0.2039065\n", + "\n", + "$MSE_list[[48]][[48]]\n", + "[1] 0.1728349\n", + "\n", + "$MSE_list[[48]][[49]]\n", + "[1] 0.2008277\n", + "\n", + "$MSE_list[[48]][[50]]\n", + "[1] 0.1718511\n", + "\n", + "$MSE_list[[48]][[51]]\n", + "[1] 0.3557493\n", + "\n", + "$MSE_list[[48]][[52]]\n", + "[1] 0.22349\n", + "\n", + "$MSE_list[[48]][[53]]\n", + "[1] 0.1929106\n", + "\n", + "$MSE_list[[48]][[54]]\n", + "[1] 0.3823957\n", + "\n", + "$MSE_list[[48]][[55]]\n", + "[1] 0.3220479\n", + "\n", + "$MSE_list[[48]][[56]]\n", + "[1] 0.2497452\n", + "\n", + "$MSE_list[[48]][[57]]\n", + "[1] 0.3221445\n", + "\n", + "$MSE_list[[48]][[58]]\n", + "[1] 0.1781551\n", + "\n", + "$MSE_list[[48]][[59]]\n", + "[1] 0.2582357\n", + "\n", + "$MSE_list[[48]][[60]]\n", + "[1] 0.1906522\n", + "\n", + "$MSE_list[[48]][[61]]\n", + "[1] 0.1146886\n", + "\n", + "$MSE_list[[48]][[62]]\n", + "[1] 0.3068043\n", + "\n", + "$MSE_list[[48]][[63]]\n", + "[1] 0.2706836\n", + "\n", + "$MSE_list[[48]][[64]]\n", + "[1] 0.1994432\n", + "\n", + "$MSE_list[[48]][[65]]\n", + "[1] 0.1851837\n", + "\n", + "$MSE_list[[48]][[66]]\n", + "[1] 0.1622914\n", + "\n", + "$MSE_list[[48]][[67]]\n", + "[1] 0.3478947\n", + "\n", + "$MSE_list[[48]][[68]]\n", + "[1] 0.3755549\n", + "\n", + "$MSE_list[[48]][[69]]\n", + "[1] 0.2188328\n", + "\n", + "$MSE_list[[48]][[70]]\n", + "[1] 0.1055457\n", + "\n", + "$MSE_list[[48]][[71]]\n", + "[1] 0.4753397\n", + "\n", + "$MSE_list[[48]][[72]]\n", + "[1] 0.1793707\n", + "\n", + "$MSE_list[[48]][[73]]\n", + "[1] 0.2631192\n", + "\n", + "$MSE_list[[48]][[74]]\n", + "[1] 0.2246951\n", + "\n", + "$MSE_list[[48]][[75]]\n", + "[1] 0.2632587\n", + "\n", + "$MSE_list[[48]][[76]]\n", + "[1] 0.2124226\n", + "\n", + "$MSE_list[[48]][[77]]\n", + "[1] 0.291016\n", + "\n", + "$MSE_list[[48]][[78]]\n", + "[1] 0.320341\n", + "\n", + "$MSE_list[[48]][[79]]\n", + "[1] 0.3031827\n", + "\n", + "$MSE_list[[48]][[80]]\n", + "[1] 0.1939734\n", + "\n", + "$MSE_list[[48]][[81]]\n", + "[1] 0.2080435\n", + "\n", + "$MSE_list[[48]][[82]]\n", + "[1] 0.1909187\n", + "\n", + "$MSE_list[[48]][[83]]\n", + "[1] 0.3535146\n", + "\n", + "$MSE_list[[48]][[84]]\n", + "[1] 0.1687566\n", + "\n", + "$MSE_list[[48]][[85]]\n", + "[1] 0.1462972\n", + "\n", + "$MSE_list[[48]][[86]]\n", + "[1] 0.2900486\n", + "\n", + "$MSE_list[[48]][[87]]\n", + "[1] 0.247418\n", + "\n", + "$MSE_list[[48]][[88]]\n", + "[1] 0.3944707\n", + "\n", + "$MSE_list[[48]][[89]]\n", + "[1] 0.3303515\n", + "\n", + "$MSE_list[[48]][[90]]\n", + "[1] 0.1937674\n", + "\n", + "$MSE_list[[48]][[91]]\n", + "[1] 0.1864406\n", + "\n", + "$MSE_list[[48]][[92]]\n", + "[1] 0.2067763\n", + "\n", + "$MSE_list[[48]][[93]]\n", + "[1] 0.2009853\n", + "\n", + "$MSE_list[[48]][[94]]\n", + "[1] 0.1701971\n", + "\n", + "$MSE_list[[48]][[95]]\n", + "[1] 0.1816396\n", + "\n", + "$MSE_list[[48]][[96]]\n", + "[1] 0.2492728\n", + "\n", + "$MSE_list[[48]][[97]]\n", + "[1] 0.2917819\n", + "\n", + "$MSE_list[[48]][[98]]\n", + "[1] 0.1882366\n", + "\n", + "$MSE_list[[48]][[99]]\n", + "[1] 0.07678541\n", + "\n", + "$MSE_list[[48]][[100]]\n", + "[1] 0.2350364\n", + "\n", + "\n", + "$MSE_list[[49]]\n", + "$MSE_list[[49]][[1]]\n", + "[1] 0.1961299\n", + "\n", + "$MSE_list[[49]][[2]]\n", + "[1] 0.2400949\n", + "\n", + "$MSE_list[[49]][[3]]\n", + "[1] 0.2028072\n", + "\n", + "$MSE_list[[49]][[4]]\n", + "[1] 0.1838447\n", + "\n", + "$MSE_list[[49]][[5]]\n", + "[1] 0.1344426\n", + "\n", + "$MSE_list[[49]][[6]]\n", + "[1] 0.3016178\n", + "\n", + "$MSE_list[[49]][[7]]\n", + "[1] 0.279397\n", + "\n", + "$MSE_list[[49]][[8]]\n", + "[1] 0.2138956\n", + "\n", + "$MSE_list[[49]][[9]]\n", + "[1] 0.1925663\n", + "\n", + "$MSE_list[[49]][[10]]\n", + "[1] 0.1821767\n", + "\n", + "$MSE_list[[49]][[11]]\n", + "[1] 0.2836463\n", + "\n", + "$MSE_list[[49]][[12]]\n", + "[1] 0.1528237\n", + "\n", + "$MSE_list[[49]][[13]]\n", + "[1] 0.3165084\n", + "\n", + "$MSE_list[[49]][[14]]\n", + "[1] 0.2277309\n", + "\n", + "$MSE_list[[49]][[15]]\n", + "[1] 0.244229\n", + "\n", + "$MSE_list[[49]][[16]]\n", + "[1] 0.1022319\n", + "\n", + "$MSE_list[[49]][[17]]\n", + "[1] 0.2586372\n", + "\n", + "$MSE_list[[49]][[18]]\n", + "[1] 0.22427\n", + "\n", + "$MSE_list[[49]][[19]]\n", + "[1] 0.2921166\n", + "\n", + "$MSE_list[[49]][[20]]\n", + "[1] 0.353437\n", + "\n", + "$MSE_list[[49]][[21]]\n", + "[1] 0.3078037\n", + "\n", + "$MSE_list[[49]][[22]]\n", + "[1] 0.2175548\n", + "\n", + "$MSE_list[[49]][[23]]\n", + "[1] 0.2057215\n", + "\n", + "$MSE_list[[49]][[24]]\n", + "[1] 0.1989511\n", + "\n", + "$MSE_list[[49]][[25]]\n", + "[1] 0.3035457\n", + "\n", + "$MSE_list[[49]][[26]]\n", + "[1] 0.1984859\n", + "\n", + "$MSE_list[[49]][[27]]\n", + "[1] 0.1042775\n", + "\n", + "$MSE_list[[49]][[28]]\n", + "[1] 0.2116242\n", + "\n", + "$MSE_list[[49]][[29]]\n", + "[1] 0.2421238\n", + "\n", + "$MSE_list[[49]][[30]]\n", + "[1] 0.2138059\n", + "\n", + "$MSE_list[[49]][[31]]\n", + "[1] 0.3094943\n", + "\n", + "$MSE_list[[49]][[32]]\n", + "[1] 0.3117002\n", + "\n", + "$MSE_list[[49]][[33]]\n", + "[1] 0.2584878\n", + "\n", + "$MSE_list[[49]][[34]]\n", + "[1] 0.229917\n", + "\n", + "$MSE_list[[49]][[35]]\n", + "[1] 0.2569536\n", + "\n", + "$MSE_list[[49]][[36]]\n", + "[1] 0.2426691\n", + "\n", + "$MSE_list[[49]][[37]]\n", + "[1] 0.2929459\n", + "\n", + "$MSE_list[[49]][[38]]\n", + "[1] 0.1124979\n", + "\n", + "$MSE_list[[49]][[39]]\n", + "[1] 0.2747837\n", + "\n", + "$MSE_list[[49]][[40]]\n", + "[1] 0.2032905\n", + "\n", + "$MSE_list[[49]][[41]]\n", + "[1] 0.3584863\n", + "\n", + "$MSE_list[[49]][[42]]\n", + "[1] 0.2957799\n", + "\n", + "$MSE_list[[49]][[43]]\n", + "[1] 0.1010058\n", + "\n", + "$MSE_list[[49]][[44]]\n", + "[1] 0.2641607\n", + "\n", + "$MSE_list[[49]][[45]]\n", + "[1] 0.179309\n", + "\n", + "$MSE_list[[49]][[46]]\n", + "[1] 0.2460325\n", + "\n", + "$MSE_list[[49]][[47]]\n", + "[1] 0.1737385\n", + "\n", + "$MSE_list[[49]][[48]]\n", + "[1] 0.2255354\n", + "\n", + "$MSE_list[[49]][[49]]\n", + "[1] 0.2810597\n", + "\n", + "$MSE_list[[49]][[50]]\n", + "[1] 0.2258729\n", + "\n", + "$MSE_list[[49]][[51]]\n", + "[1] 0.1534889\n", + "\n", + "$MSE_list[[49]][[52]]\n", + "[1] 0.1795024\n", + "\n", + "$MSE_list[[49]][[53]]\n", + "[1] 0.1564406\n", + "\n", + "$MSE_list[[49]][[54]]\n", + "[1] 0.2774092\n", + "\n", + "$MSE_list[[49]][[55]]\n", + "[1] 0.3034551\n", + "\n", + "$MSE_list[[49]][[56]]\n", + "[1] 0.2219956\n", + "\n", + "$MSE_list[[49]][[57]]\n", + "[1] 0.1970263\n", + "\n", + "$MSE_list[[49]][[58]]\n", + "[1] 0.3825697\n", + "\n", + "$MSE_list[[49]][[59]]\n", + "[1] 0.262127\n", + "\n", + "$MSE_list[[49]][[60]]\n", + "[1] 0.3145546\n", + "\n", + "$MSE_list[[49]][[61]]\n", + "[1] 0.1553243\n", + "\n", + "$MSE_list[[49]][[62]]\n", + "[1] 0.1945155\n", + "\n", + "$MSE_list[[49]][[63]]\n", + "[1] 0.3107045\n", + "\n", + "$MSE_list[[49]][[64]]\n", + "[1] 0.1619276\n", + "\n", + "$MSE_list[[49]][[65]]\n", + "[1] 0.1508433\n", + "\n", + "$MSE_list[[49]][[66]]\n", + "[1] 0.1479724\n", + "\n", + "$MSE_list[[49]][[67]]\n", + "[1] 0.2232538\n", + "\n", + "$MSE_list[[49]][[68]]\n", + "[1] 0.1724114\n", + "\n", + "$MSE_list[[49]][[69]]\n", + "[1] 0.1726028\n", + "\n", + "$MSE_list[[49]][[70]]\n", + "[1] 0.1871209\n", + "\n", + "$MSE_list[[49]][[71]]\n", + "[1] 0.2082292\n", + "\n", + "$MSE_list[[49]][[72]]\n", + "[1] 0.1076187\n", + "\n", + "$MSE_list[[49]][[73]]\n", + "[1] 0.2578809\n", + "\n", + "$MSE_list[[49]][[74]]\n", + "[1] 0.3407905\n", + "\n", + "$MSE_list[[49]][[75]]\n", + "[1] 0.2279081\n", + "\n", + "$MSE_list[[49]][[76]]\n", + "[1] 0.2149737\n", + "\n", + "$MSE_list[[49]][[77]]\n", + "[1] 0.2508899\n", + "\n", + "$MSE_list[[49]][[78]]\n", + "[1] 0.08679858\n", + "\n", + "$MSE_list[[49]][[79]]\n", + "[1] 0.3230956\n", + "\n", + "$MSE_list[[49]][[80]]\n", + "[1] 0.1075972\n", + "\n", + "$MSE_list[[49]][[81]]\n", + "[1] 0.3079252\n", + "\n", + "$MSE_list[[49]][[82]]\n", + "[1] 0.2165808\n", + "\n", + "$MSE_list[[49]][[83]]\n", + "[1] 0.1404226\n", + "\n", + "$MSE_list[[49]][[84]]\n", + "[1] 0.1616058\n", + "\n", + "$MSE_list[[49]][[85]]\n", + "[1] 0.2484112\n", + "\n", + "$MSE_list[[49]][[86]]\n", + "[1] 0.1387489\n", + "\n", + "$MSE_list[[49]][[87]]\n", + "[1] 0.1698893\n", + "\n", + "$MSE_list[[49]][[88]]\n", + "[1] 0.1891579\n", + "\n", + "$MSE_list[[49]][[89]]\n", + "[1] 0.1936486\n", + "\n", + "$MSE_list[[49]][[90]]\n", + "[1] 0.2305045\n", + "\n", + "$MSE_list[[49]][[91]]\n", + "[1] 0.1943496\n", + "\n", + "$MSE_list[[49]][[92]]\n", + "[1] 0.2155872\n", + "\n", + "$MSE_list[[49]][[93]]\n", + "[1] 0.2001583\n", + "\n", + "$MSE_list[[49]][[94]]\n", + "[1] 0.1940975\n", + "\n", + "$MSE_list[[49]][[95]]\n", + "[1] 0.1438387\n", + "\n", + "$MSE_list[[49]][[96]]\n", + "[1] 0.130326\n", + "\n", + "$MSE_list[[49]][[97]]\n", + "[1] 0.2938432\n", + "\n", + "$MSE_list[[49]][[98]]\n", + "[1] 0.118976\n", + "\n", + "$MSE_list[[49]][[99]]\n", + "[1] 0.2274765\n", + "\n", + "$MSE_list[[49]][[100]]\n", + "[1] 0.2347165\n", + "\n", + "\n", + "$MSE_list[[50]]\n", + "$MSE_list[[50]][[1]]\n", + "[1] 0.2817716\n", + "\n", + "$MSE_list[[50]][[2]]\n", + "[1] 0.3266111\n", + "\n", + "$MSE_list[[50]][[3]]\n", + "[1] 0.2942639\n", + "\n", + "$MSE_list[[50]][[4]]\n", + "[1] 0.2724643\n", + "\n", + "$MSE_list[[50]][[5]]\n", + "[1] 0.2887589\n", + "\n", + "$MSE_list[[50]][[6]]\n", + "[1] 0.2539053\n", + "\n", + "$MSE_list[[50]][[7]]\n", + "[1] 0.3537735\n", + "\n", + "$MSE_list[[50]][[8]]\n", + "[1] 0.3319402\n", + "\n", + "$MSE_list[[50]][[9]]\n", + "[1] 0.4908266\n", + "\n", + "$MSE_list[[50]][[10]]\n", + "[1] 0.3156388\n", + "\n", + "$MSE_list[[50]][[11]]\n", + "[1] 0.1769803\n", + "\n", + "$MSE_list[[50]][[12]]\n", + "[1] 0.2583355\n", + "\n", + "$MSE_list[[50]][[13]]\n", + "[1] 0.5243892\n", + "\n", + "$MSE_list[[50]][[14]]\n", + "[1] 0.1908558\n", + "\n", + "$MSE_list[[50]][[15]]\n", + "[1] 0.3734579\n", + "\n", + "$MSE_list[[50]][[16]]\n", + "[1] 0.2537226\n", + "\n", + "$MSE_list[[50]][[17]]\n", + "[1] 0.2859017\n", + "\n", + "$MSE_list[[50]][[18]]\n", + "[1] 0.2869075\n", + "\n", + "$MSE_list[[50]][[19]]\n", + "[1] 0.2423955\n", + "\n", + "$MSE_list[[50]][[20]]\n", + "[1] 0.2252718\n", + "\n", + "$MSE_list[[50]][[21]]\n", + "[1] 0.3211705\n", + "\n", + "$MSE_list[[50]][[22]]\n", + "[1] 0.3392007\n", + "\n", + "$MSE_list[[50]][[23]]\n", + "[1] 0.2525445\n", + "\n", + "$MSE_list[[50]][[24]]\n", + "[1] 0.2603867\n", + "\n", + "$MSE_list[[50]][[25]]\n", + "[1] 0.2374176\n", + "\n", + "$MSE_list[[50]][[26]]\n", + "[1] 0.2021216\n", + "\n", + "$MSE_list[[50]][[27]]\n", + "[1] 0.3059354\n", + "\n", + "$MSE_list[[50]][[28]]\n", + "[1] 0.3339989\n", + "\n", + "$MSE_list[[50]][[29]]\n", + "[1] 0.3932452\n", + "\n", + "$MSE_list[[50]][[30]]\n", + "[1] 0.2718325\n", + "\n", + "$MSE_list[[50]][[31]]\n", + "[1] 0.1668495\n", + "\n", + "$MSE_list[[50]][[32]]\n", + "[1] 0.3084759\n", + "\n", + "$MSE_list[[50]][[33]]\n", + "[1] 0.3073907\n", + "\n", + "$MSE_list[[50]][[34]]\n", + "[1] 0.1805937\n", + "\n", + "$MSE_list[[50]][[35]]\n", + "[1] 0.2057125\n", + "\n", + "$MSE_list[[50]][[36]]\n", + "[1] 0.2866416\n", + "\n", + "$MSE_list[[50]][[37]]\n", + "[1] 0.2018481\n", + "\n", + "$MSE_list[[50]][[38]]\n", + "[1] 0.237224\n", + "\n", + "$MSE_list[[50]][[39]]\n", + "[1] 0.3306075\n", + "\n", + "$MSE_list[[50]][[40]]\n", + "[1] 0.2496156\n", + "\n", + "$MSE_list[[50]][[41]]\n", + "[1] 0.2091276\n", + "\n", + "$MSE_list[[50]][[42]]\n", + "[1] 0.2846987\n", + "\n", + "$MSE_list[[50]][[43]]\n", + "[1] 0.287756\n", + "\n", + "$MSE_list[[50]][[44]]\n", + "[1] 0.2850661\n", + "\n", + "$MSE_list[[50]][[45]]\n", + "[1] 0.1779825\n", + "\n", + "$MSE_list[[50]][[46]]\n", + "[1] 0.2457302\n", + "\n", + "$MSE_list[[50]][[47]]\n", + "[1] 0.1772164\n", + "\n", + "$MSE_list[[50]][[48]]\n", + "[1] 0.4331707\n", + "\n", + "$MSE_list[[50]][[49]]\n", + "[1] 0.3362421\n", + "\n", + "$MSE_list[[50]][[50]]\n", + "[1] 0.21674\n", + "\n", + "$MSE_list[[50]][[51]]\n", + "[1] 0.2312635\n", + "\n", + "$MSE_list[[50]][[52]]\n", + "[1] 0.2135313\n", + "\n", + "$MSE_list[[50]][[53]]\n", + "[1] 0.3114426\n", + "\n", + "$MSE_list[[50]][[54]]\n", + "[1] 0.2445904\n", + "\n", + "$MSE_list[[50]][[55]]\n", + "[1] 0.3525548\n", + "\n", + "$MSE_list[[50]][[56]]\n", + "[1] 0.2807913\n", + "\n", + "$MSE_list[[50]][[57]]\n", + "[1] 0.2321681\n", + "\n", + "$MSE_list[[50]][[58]]\n", + "[1] 0.4028883\n", + "\n", + "$MSE_list[[50]][[59]]\n", + "[1] 0.3429359\n", + "\n", + "$MSE_list[[50]][[60]]\n", + "[1] 0.285668\n", + "\n", + "$MSE_list[[50]][[61]]\n", + "[1] 0.3066974\n", + "\n", + "$MSE_list[[50]][[62]]\n", + "[1] 0.253673\n", + "\n", + "$MSE_list[[50]][[63]]\n", + "[1] 0.2982284\n", + "\n", + "$MSE_list[[50]][[64]]\n", + "[1] 0.153861\n", + "\n", + "$MSE_list[[50]][[65]]\n", + "[1] 0.3240953\n", + "\n", + "$MSE_list[[50]][[66]]\n", + "[1] 0.243587\n", + "\n", + "$MSE_list[[50]][[67]]\n", + "[1] 0.2462684\n", + "\n", + "$MSE_list[[50]][[68]]\n", + "[1] 0.334347\n", + "\n", + "$MSE_list[[50]][[69]]\n", + "[1] 0.4631903\n", + "\n", + "$MSE_list[[50]][[70]]\n", + "[1] 0.2454348\n", + "\n", + "$MSE_list[[50]][[71]]\n", + "[1] 0.2561652\n", + "\n", + "$MSE_list[[50]][[72]]\n", + "[1] 0.455857\n", + "\n", + "$MSE_list[[50]][[73]]\n", + "[1] 0.4193818\n", + "\n", + "$MSE_list[[50]][[74]]\n", + "[1] 0.4189937\n", + "\n", + "$MSE_list[[50]][[75]]\n", + "[1] 0.2508919\n", + "\n", + "$MSE_list[[50]][[76]]\n", + "[1] 0.2239464\n", + "\n", + "$MSE_list[[50]][[77]]\n", + "[1] 0.248469\n", + "\n", + "$MSE_list[[50]][[78]]\n", + "[1] 0.2948533\n", + "\n", + "$MSE_list[[50]][[79]]\n", + "[1] 0.2504871\n", + "\n", + "$MSE_list[[50]][[80]]\n", + "[1] 0.1713217\n", + "\n", + "$MSE_list[[50]][[81]]\n", + "[1] 0.2857014\n", + "\n", + "$MSE_list[[50]][[82]]\n", + "[1] 0.2255075\n", + "\n", + "$MSE_list[[50]][[83]]\n", + "[1] 0.2645908\n", + "\n", + "$MSE_list[[50]][[84]]\n", + "[1] 0.1468887\n", + "\n", + "$MSE_list[[50]][[85]]\n", + "[1] 0.2792397\n", + "\n", + "$MSE_list[[50]][[86]]\n", + "[1] 0.2714064\n", + "\n", + "$MSE_list[[50]][[87]]\n", + "[1] 0.1218209\n", + "\n", + "$MSE_list[[50]][[88]]\n", + "[1] 0.2924893\n", + "\n", + "$MSE_list[[50]][[89]]\n", + "[1] 0.1756656\n", + "\n", + "$MSE_list[[50]][[90]]\n", + "[1] 0.2729196\n", + "\n", + "$MSE_list[[50]][[91]]\n", + "[1] 0.3420073\n", + "\n", + "$MSE_list[[50]][[92]]\n", + "[1] 0.3534785\n", + "\n", + "$MSE_list[[50]][[93]]\n", + "[1] 0.2302541\n", + "\n", + "$MSE_list[[50]][[94]]\n", + "[1] 0.2814696\n", + "\n", + "$MSE_list[[50]][[95]]\n", + "[1] 0.2399749\n", + "\n", + "$MSE_list[[50]][[96]]\n", + "[1] 0.2978489\n", + "\n", + "$MSE_list[[50]][[97]]\n", + "[1] 0.2821496\n", + "\n", + "$MSE_list[[50]][[98]]\n", + "[1] 0.2416568\n", + "\n", + "$MSE_list[[50]][[99]]\n", + "[1] 0.2160722\n", + "\n", + "$MSE_list[[50]][[100]]\n", + "[1] 0.3028799\n", + "\n", + "\n", + "$MSE_list[[51]]\n", + "$MSE_list[[51]][[1]]\n", + "[1] 0.1780157\n", + "\n", + "$MSE_list[[51]][[2]]\n", + "[1] 0.1568558\n", + "\n", + "$MSE_list[[51]][[3]]\n", + "[1] 0.2164435\n", + "\n", + "$MSE_list[[51]][[4]]\n", + "[1] 0.1016619\n", + "\n", + "$MSE_list[[51]][[5]]\n", + "[1] 0.1803298\n", + "\n", + "$MSE_list[[51]][[6]]\n", + "[1] 0.2038792\n", + "\n", + "$MSE_list[[51]][[7]]\n", + "[1] 0.1632932\n", + "\n", + "$MSE_list[[51]][[8]]\n", + "[1] 0.2595245\n", + "\n", + "$MSE_list[[51]][[9]]\n", + "[1] 0.3073486\n", + "\n", + "$MSE_list[[51]][[10]]\n", + "[1] 0.1424406\n", + "\n", + "$MSE_list[[51]][[11]]\n", + "[1] 0.3237455\n", + "\n", + "$MSE_list[[51]][[12]]\n", + "[1] 0.1596744\n", + "\n", + "$MSE_list[[51]][[13]]\n", + "[1] 0.2551792\n", + "\n", + "$MSE_list[[51]][[14]]\n", + "[1] 0.1605495\n", + "\n", + "$MSE_list[[51]][[15]]\n", + "[1] 0.225916\n", + "\n", + "$MSE_list[[51]][[16]]\n", + "[1] 0.3800341\n", + "\n", + "$MSE_list[[51]][[17]]\n", + "[1] 0.219163\n", + "\n", + "$MSE_list[[51]][[18]]\n", + "[1] 0.2825508\n", + "\n", + "$MSE_list[[51]][[19]]\n", + "[1] 0.2521654\n", + "\n", + "$MSE_list[[51]][[20]]\n", + "[1] 0.2111763\n", + "\n", + "$MSE_list[[51]][[21]]\n", + "[1] 0.1196287\n", + "\n", + "$MSE_list[[51]][[22]]\n", + "[1] 0.2798302\n", + "\n", + "$MSE_list[[51]][[23]]\n", + "[1] 0.1161714\n", + "\n", + "$MSE_list[[51]][[24]]\n", + "[1] 0.1581051\n", + "\n", + "$MSE_list[[51]][[25]]\n", + "[1] 0.1310669\n", + "\n", + "$MSE_list[[51]][[26]]\n", + "[1] 0.3978447\n", + "\n", + "$MSE_list[[51]][[27]]\n", + "[1] 0.2519172\n", + "\n", + "$MSE_list[[51]][[28]]\n", + "[1] 0.2801067\n", + "\n", + "$MSE_list[[51]][[29]]\n", + "[1] 0.2805135\n", + "\n", + "$MSE_list[[51]][[30]]\n", + "[1] 0.1383515\n", + "\n", + "$MSE_list[[51]][[31]]\n", + "[1] 0.2865537\n", + "\n", + "$MSE_list[[51]][[32]]\n", + "[1] 0.2246598\n", + "\n", + "$MSE_list[[51]][[33]]\n", + "[1] 0.2331067\n", + "\n", + "$MSE_list[[51]][[34]]\n", + "[1] 0.182014\n", + "\n", + "$MSE_list[[51]][[35]]\n", + "[1] 0.3166792\n", + "\n", + "$MSE_list[[51]][[36]]\n", + "[1] 0.1861868\n", + "\n", + "$MSE_list[[51]][[37]]\n", + "[1] 0.2985158\n", + "\n", + "$MSE_list[[51]][[38]]\n", + "[1] 0.2140733\n", + "\n", + "$MSE_list[[51]][[39]]\n", + "[1] 0.3065067\n", + "\n", + "$MSE_list[[51]][[40]]\n", + "[1] 0.1233253\n", + "\n", + "$MSE_list[[51]][[41]]\n", + "[1] 0.1863197\n", + "\n", + "$MSE_list[[51]][[42]]\n", + "[1] 0.1962847\n", + "\n", + "$MSE_list[[51]][[43]]\n", + "[1] 0.3205764\n", + "\n", + "$MSE_list[[51]][[44]]\n", + "[1] 0.2089719\n", + "\n", + "$MSE_list[[51]][[45]]\n", + "[1] 0.217483\n", + "\n", + "$MSE_list[[51]][[46]]\n", + "[1] 0.1723123\n", + "\n", + "$MSE_list[[51]][[47]]\n", + "[1] 0.1798337\n", + "\n", + "$MSE_list[[51]][[48]]\n", + "[1] 0.3491815\n", + "\n", + "$MSE_list[[51]][[49]]\n", + "[1] 0.211745\n", + "\n", + "$MSE_list[[51]][[50]]\n", + "[1] 0.2242916\n", + "\n", + "$MSE_list[[51]][[51]]\n", + "[1] 0.1820252\n", + "\n", + "$MSE_list[[51]][[52]]\n", + "[1] 0.2259936\n", + "\n", + "$MSE_list[[51]][[53]]\n", + "[1] 0.3463662\n", + "\n", + "$MSE_list[[51]][[54]]\n", + "[1] 0.0903186\n", + "\n", + "$MSE_list[[51]][[55]]\n", + "[1] 0.3548201\n", + "\n", + "$MSE_list[[51]][[56]]\n", + "[1] 0.3354364\n", + "\n", + "$MSE_list[[51]][[57]]\n", + "[1] 0.3514971\n", + "\n", + "$MSE_list[[51]][[58]]\n", + "[1] 0.3157518\n", + "\n", + "$MSE_list[[51]][[59]]\n", + "[1] 0.3104538\n", + "\n", + "$MSE_list[[51]][[60]]\n", + "[1] 0.1000999\n", + "\n", + "$MSE_list[[51]][[61]]\n", + "[1] 0.1584721\n", + "\n", + "$MSE_list[[51]][[62]]\n", + "[1] 0.2740759\n", + "\n", + "$MSE_list[[51]][[63]]\n", + "[1] 0.2132368\n", + "\n", + "$MSE_list[[51]][[64]]\n", + "[1] 0.2631643\n", + "\n", + "$MSE_list[[51]][[65]]\n", + "[1] 0.1931091\n", + "\n", + "$MSE_list[[51]][[66]]\n", + "[1] 0.3119375\n", + "\n", + "$MSE_list[[51]][[67]]\n", + "[1] 0.2995169\n", + "\n", + "$MSE_list[[51]][[68]]\n", + "[1] 0.1181139\n", + "\n", + "$MSE_list[[51]][[69]]\n", + "[1] 0.2656104\n", + "\n", + "$MSE_list[[51]][[70]]\n", + "[1] 0.2243415\n", + "\n", + "$MSE_list[[51]][[71]]\n", + "[1] 0.1532766\n", + "\n", + "$MSE_list[[51]][[72]]\n", + "[1] 0.2029323\n", + "\n", + "$MSE_list[[51]][[73]]\n", + "[1] 0.1590317\n", + "\n", + "$MSE_list[[51]][[74]]\n", + "[1] 0.2467516\n", + "\n", + "$MSE_list[[51]][[75]]\n", + "[1] 0.1605768\n", + "\n", + "$MSE_list[[51]][[76]]\n", + "[1] 0.1565413\n", + "\n", + "$MSE_list[[51]][[77]]\n", + "[1] 0.2852941\n", + "\n", + "$MSE_list[[51]][[78]]\n", + "[1] 0.2339228\n", + "\n", + "$MSE_list[[51]][[79]]\n", + "[1] 0.2473459\n", + "\n", + "$MSE_list[[51]][[80]]\n", + "[1] 0.3060643\n", + "\n", + "$MSE_list[[51]][[81]]\n", + "[1] 0.2796027\n", + "\n", + "$MSE_list[[51]][[82]]\n", + "[1] 0.3463913\n", + "\n", + "$MSE_list[[51]][[83]]\n", + "[1] 0.1744345\n", + "\n", + "$MSE_list[[51]][[84]]\n", + "[1] 0.2190747\n", + "\n", + "$MSE_list[[51]][[85]]\n", + "[1] 0.2607083\n", + "\n", + "$MSE_list[[51]][[86]]\n", + "[1] 0.3166853\n", + "\n", + "$MSE_list[[51]][[87]]\n", + "[1] 0.2313698\n", + "\n", + "$MSE_list[[51]][[88]]\n", + "[1] 0.2305014\n", + "\n", + "$MSE_list[[51]][[89]]\n", + "[1] 0.3407348\n", + "\n", + "$MSE_list[[51]][[90]]\n", + "[1] 0.310981\n", + "\n", + "$MSE_list[[51]][[91]]\n", + "[1] 0.08440323\n", + "\n", + "$MSE_list[[51]][[92]]\n", + "[1] 0.2470686\n", + "\n", + "$MSE_list[[51]][[93]]\n", + "[1] 0.1979503\n", + "\n", + "$MSE_list[[51]][[94]]\n", + "[1] 0.3770088\n", + "\n", + "$MSE_list[[51]][[95]]\n", + "[1] 0.1616586\n", + "\n", + "$MSE_list[[51]][[96]]\n", + "[1] 0.282826\n", + "\n", + "$MSE_list[[51]][[97]]\n", + "[1] 0.1977078\n", + "\n", + "$MSE_list[[51]][[98]]\n", + "[1] 0.2255929\n", + "\n", + "$MSE_list[[51]][[99]]\n", + "[1] 0.2853016\n", + "\n", + "$MSE_list[[51]][[100]]\n", + "[1] 0.4066586\n", + "\n", + "\n", + "$MSE_list[[52]]\n", + "$MSE_list[[52]][[1]]\n", + "[1] 0.1872545\n", + "\n", + "$MSE_list[[52]][[2]]\n", + "[1] 0.1719943\n", + "\n", + "$MSE_list[[52]][[3]]\n", + "[1] 0.2725787\n", + "\n", + "$MSE_list[[52]][[4]]\n", + "[1] 0.253474\n", + "\n", + "$MSE_list[[52]][[5]]\n", + "[1] 0.19165\n", + "\n", + "$MSE_list[[52]][[6]]\n", + "[1] 0.1929862\n", + "\n", + "$MSE_list[[52]][[7]]\n", + "[1] 0.2274907\n", + "\n", + "$MSE_list[[52]][[8]]\n", + "[1] 0.2428883\n", + "\n", + "$MSE_list[[52]][[9]]\n", + "[1] 0.1919506\n", + "\n", + "$MSE_list[[52]][[10]]\n", + "[1] 0.1388462\n", + "\n", + "$MSE_list[[52]][[11]]\n", + "[1] 0.1148303\n", + "\n", + "$MSE_list[[52]][[12]]\n", + "[1] 0.1924892\n", + "\n", + "$MSE_list[[52]][[13]]\n", + "[1] 0.1724892\n", + "\n", + "$MSE_list[[52]][[14]]\n", + "[1] 0.2361921\n", + "\n", + "$MSE_list[[52]][[15]]\n", + "[1] 0.1735209\n", + "\n", + "$MSE_list[[52]][[16]]\n", + "[1] 0.2220535\n", + "\n", + "$MSE_list[[52]][[17]]\n", + "[1] 0.2605622\n", + "\n", + "$MSE_list[[52]][[18]]\n", + "[1] 0.314141\n", + "\n", + "$MSE_list[[52]][[19]]\n", + "[1] 0.310928\n", + "\n", + "$MSE_list[[52]][[20]]\n", + "[1] 0.3617278\n", + "\n", + "$MSE_list[[52]][[21]]\n", + "[1] 0.210449\n", + "\n", + "$MSE_list[[52]][[22]]\n", + "[1] 0.2491428\n", + "\n", + "$MSE_list[[52]][[23]]\n", + "[1] 0.2227501\n", + "\n", + "$MSE_list[[52]][[24]]\n", + "[1] 0.1754327\n", + "\n", + "$MSE_list[[52]][[25]]\n", + "[1] 0.3294004\n", + "\n", + "$MSE_list[[52]][[26]]\n", + "[1] 0.1703348\n", + "\n", + "$MSE_list[[52]][[27]]\n", + "[1] 0.3083788\n", + "\n", + "$MSE_list[[52]][[28]]\n", + "[1] 0.2783641\n", + "\n", + "$MSE_list[[52]][[29]]\n", + "[1] 0.2255223\n", + "\n", + "$MSE_list[[52]][[30]]\n", + "[1] 0.2842845\n", + "\n", + "$MSE_list[[52]][[31]]\n", + "[1] 0.2350978\n", + "\n", + "$MSE_list[[52]][[32]]\n", + "[1] 0.2956135\n", + "\n", + "$MSE_list[[52]][[33]]\n", + "[1] 0.233228\n", + "\n", + "$MSE_list[[52]][[34]]\n", + "[1] 0.303315\n", + "\n", + "$MSE_list[[52]][[35]]\n", + "[1] 0.2460906\n", + "\n", + "$MSE_list[[52]][[36]]\n", + "[1] 0.1450964\n", + "\n", + "$MSE_list[[52]][[37]]\n", + "[1] 0.3091344\n", + "\n", + "$MSE_list[[52]][[38]]\n", + "[1] 0.2595374\n", + "\n", + "$MSE_list[[52]][[39]]\n", + "[1] 0.269567\n", + "\n", + "$MSE_list[[52]][[40]]\n", + "[1] 0.2895027\n", + "\n", + "$MSE_list[[52]][[41]]\n", + "[1] 0.2111028\n", + "\n", + "$MSE_list[[52]][[42]]\n", + "[1] 0.2255105\n", + "\n", + "$MSE_list[[52]][[43]]\n", + "[1] 0.3207812\n", + "\n", + "$MSE_list[[52]][[44]]\n", + "[1] 0.309275\n", + "\n", + "$MSE_list[[52]][[45]]\n", + "[1] 0.2058503\n", + "\n", + "$MSE_list[[52]][[46]]\n", + "[1] 0.2630882\n", + "\n", + "$MSE_list[[52]][[47]]\n", + "[1] 0.2174522\n", + "\n", + "$MSE_list[[52]][[48]]\n", + "[1] 0.4215293\n", + "\n", + "$MSE_list[[52]][[49]]\n", + "[1] 0.07397648\n", + "\n", + "$MSE_list[[52]][[50]]\n", + "[1] 0.2652712\n", + "\n", + "$MSE_list[[52]][[51]]\n", + "[1] 0.2259308\n", + "\n", + "$MSE_list[[52]][[52]]\n", + "[1] 0.3333043\n", + "\n", + "$MSE_list[[52]][[53]]\n", + "[1] 0.334162\n", + "\n", + "$MSE_list[[52]][[54]]\n", + "[1] 0.1703847\n", + "\n", + "$MSE_list[[52]][[55]]\n", + "[1] 0.2968971\n", + "\n", + "$MSE_list[[52]][[56]]\n", + "[1] 0.1435332\n", + "\n", + "$MSE_list[[52]][[57]]\n", + "[1] 0.1725849\n", + "\n", + "$MSE_list[[52]][[58]]\n", + "[1] 0.2262258\n", + "\n", + "$MSE_list[[52]][[59]]\n", + "[1] 0.202941\n", + "\n", + "$MSE_list[[52]][[60]]\n", + "[1] 0.1317164\n", + "\n", + "$MSE_list[[52]][[61]]\n", + "[1] 0.2594439\n", + "\n", + "$MSE_list[[52]][[62]]\n", + "[1] 0.3104482\n", + "\n", + "$MSE_list[[52]][[63]]\n", + "[1] 0.2606755\n", + "\n", + "$MSE_list[[52]][[64]]\n", + "[1] 0.3029203\n", + "\n", + "$MSE_list[[52]][[65]]\n", + "[1] 0.2150303\n", + "\n", + "$MSE_list[[52]][[66]]\n", + "[1] 0.154964\n", + "\n", + "$MSE_list[[52]][[67]]\n", + "[1] 0.1703524\n", + "\n", + "$MSE_list[[52]][[68]]\n", + "[1] 0.161119\n", + "\n", + "$MSE_list[[52]][[69]]\n", + "[1] 0.1369438\n", + "\n", + "$MSE_list[[52]][[70]]\n", + "[1] 0.3084436\n", + "\n", + "$MSE_list[[52]][[71]]\n", + "[1] 0.09583036\n", + "\n", + "$MSE_list[[52]][[72]]\n", + "[1] 0.3291254\n", + "\n", + "$MSE_list[[52]][[73]]\n", + "[1] 0.2663163\n", + "\n", + "$MSE_list[[52]][[74]]\n", + "[1] 0.2927153\n", + "\n", + "$MSE_list[[52]][[75]]\n", + "[1] 0.2747591\n", + "\n", + "$MSE_list[[52]][[76]]\n", + "[1] 0.3092136\n", + "\n", + "$MSE_list[[52]][[77]]\n", + "[1] 0.1813199\n", + "\n", + "$MSE_list[[52]][[78]]\n", + "[1] 0.2581245\n", + "\n", + "$MSE_list[[52]][[79]]\n", + "[1] 0.1939705\n", + "\n", + "$MSE_list[[52]][[80]]\n", + "[1] 0.3974824\n", + "\n", + "$MSE_list[[52]][[81]]\n", + "[1] 0.2386032\n", + "\n", + "$MSE_list[[52]][[82]]\n", + "[1] 0.1027775\n", + "\n", + "$MSE_list[[52]][[83]]\n", + "[1] 0.3077973\n", + "\n", + "$MSE_list[[52]][[84]]\n", + "[1] 0.3444683\n", + "\n", + "$MSE_list[[52]][[85]]\n", + "[1] 0.32471\n", + "\n", + "$MSE_list[[52]][[86]]\n", + "[1] 0.1877602\n", + "\n", + "$MSE_list[[52]][[87]]\n", + "[1] 0.1984304\n", + "\n", + "$MSE_list[[52]][[88]]\n", + "[1] 0.2069268\n", + "\n", + "$MSE_list[[52]][[89]]\n", + "[1] 0.235885\n", + "\n", + "$MSE_list[[52]][[90]]\n", + "[1] 0.3148274\n", + "\n", + "$MSE_list[[52]][[91]]\n", + "[1] 0.327245\n", + "\n", + "$MSE_list[[52]][[92]]\n", + "[1] 0.2117108\n", + "\n", + "$MSE_list[[52]][[93]]\n", + "[1] 0.182272\n", + "\n", + "$MSE_list[[52]][[94]]\n", + "[1] 0.0474816\n", + "\n", + "$MSE_list[[52]][[95]]\n", + "[1] 0.3770317\n", + "\n", + "$MSE_list[[52]][[96]]\n", + "[1] 0.3069868\n", + "\n", + "$MSE_list[[52]][[97]]\n", + "[1] 0.2217734\n", + "\n", + "$MSE_list[[52]][[98]]\n", + "[1] 0.3247414\n", + "\n", + "$MSE_list[[52]][[99]]\n", + "[1] 0.3767353\n", + "\n", + "$MSE_list[[52]][[100]]\n", + "[1] 0.2593305\n", + "\n", + "\n", + "$MSE_list[[53]]\n", + "$MSE_list[[53]][[1]]\n", + "[1] 0.2092811\n", + "\n", + "$MSE_list[[53]][[2]]\n", + "[1] 0.2231738\n", + "\n", + "$MSE_list[[53]][[3]]\n", + "[1] 0.199998\n", + "\n", + "$MSE_list[[53]][[4]]\n", + "[1] 0.1725733\n", + "\n", + "$MSE_list[[53]][[5]]\n", + "[1] 0.2538421\n", + "\n", + "$MSE_list[[53]][[6]]\n", + "[1] 0.2476282\n", + "\n", + "$MSE_list[[53]][[7]]\n", + "[1] 0.2609029\n", + "\n", + "$MSE_list[[53]][[8]]\n", + "[1] 0.2393712\n", + "\n", + "$MSE_list[[53]][[9]]\n", + "[1] 0.1523224\n", + "\n", + "$MSE_list[[53]][[10]]\n", + "[1] 0.2537846\n", + "\n", + "$MSE_list[[53]][[11]]\n", + "[1] 0.2851395\n", + "\n", + "$MSE_list[[53]][[12]]\n", + "[1] 0.2004071\n", + "\n", + "$MSE_list[[53]][[13]]\n", + "[1] 0.2259118\n", + "\n", + "$MSE_list[[53]][[14]]\n", + "[1] 0.2872487\n", + "\n", + "$MSE_list[[53]][[15]]\n", + "[1] 0.2808151\n", + "\n", + "$MSE_list[[53]][[16]]\n", + "[1] 0.3290178\n", + "\n", + "$MSE_list[[53]][[17]]\n", + "[1] 0.2212904\n", + "\n", + "$MSE_list[[53]][[18]]\n", + "[1] 0.3910914\n", + "\n", + "$MSE_list[[53]][[19]]\n", + "[1] 0.2665353\n", + "\n", + "$MSE_list[[53]][[20]]\n", + "[1] 0.2298518\n", + "\n", + "$MSE_list[[53]][[21]]\n", + "[1] 0.3060464\n", + "\n", + "$MSE_list[[53]][[22]]\n", + "[1] 0.2842427\n", + "\n", + "$MSE_list[[53]][[23]]\n", + "[1] 0.1651084\n", + "\n", + "$MSE_list[[53]][[24]]\n", + "[1] 0.2180953\n", + "\n", + "$MSE_list[[53]][[25]]\n", + "[1] 0.3342978\n", + "\n", + "$MSE_list[[53]][[26]]\n", + "[1] 0.1265957\n", + "\n", + "$MSE_list[[53]][[27]]\n", + "[1] 0.3067055\n", + "\n", + "$MSE_list[[53]][[28]]\n", + "[1] 0.2654882\n", + "\n", + "$MSE_list[[53]][[29]]\n", + "[1] 0.2112629\n", + "\n", + "$MSE_list[[53]][[30]]\n", + "[1] 0.3863651\n", + "\n", + "$MSE_list[[53]][[31]]\n", + "[1] 0.2123538\n", + "\n", + "$MSE_list[[53]][[32]]\n", + "[1] 0.2154512\n", + "\n", + "$MSE_list[[53]][[33]]\n", + "[1] 0.1330112\n", + "\n", + "$MSE_list[[53]][[34]]\n", + "[1] 0.3466256\n", + "\n", + "$MSE_list[[53]][[35]]\n", + "[1] 0.1520196\n", + "\n", + "$MSE_list[[53]][[36]]\n", + "[1] 0.3134455\n", + "\n", + "$MSE_list[[53]][[37]]\n", + "[1] 0.2113939\n", + "\n", + "$MSE_list[[53]][[38]]\n", + "[1] 0.2640899\n", + "\n", + "$MSE_list[[53]][[39]]\n", + "[1] 0.2690621\n", + "\n", + "$MSE_list[[53]][[40]]\n", + "[1] 0.3676471\n", + "\n", + "$MSE_list[[53]][[41]]\n", + "[1] 0.2973987\n", + "\n", + "$MSE_list[[53]][[42]]\n", + "[1] 0.3089222\n", + "\n", + "$MSE_list[[53]][[43]]\n", + "[1] 0.3614617\n", + "\n", + "$MSE_list[[53]][[44]]\n", + "[1] 0.1687049\n", + "\n", + "$MSE_list[[53]][[45]]\n", + "[1] 0.2046014\n", + "\n", + "$MSE_list[[53]][[46]]\n", + "[1] 0.2256865\n", + "\n", + "$MSE_list[[53]][[47]]\n", + "[1] 0.1698579\n", + "\n", + "$MSE_list[[53]][[48]]\n", + "[1] 0.3389424\n", + "\n", + "$MSE_list[[53]][[49]]\n", + "[1] 0.3802066\n", + "\n", + "$MSE_list[[53]][[50]]\n", + "[1] 0.3897699\n", + "\n", + "$MSE_list[[53]][[51]]\n", + "[1] 0.3588922\n", + "\n", + "$MSE_list[[53]][[52]]\n", + "[1] 0.281569\n", + "\n", + "$MSE_list[[53]][[53]]\n", + "[1] 0.272934\n", + "\n", + "$MSE_list[[53]][[54]]\n", + "[1] 0.1688291\n", + "\n", + "$MSE_list[[53]][[55]]\n", + "[1] 0.2761584\n", + "\n", + "$MSE_list[[53]][[56]]\n", + "[1] 0.2174386\n", + "\n", + "$MSE_list[[53]][[57]]\n", + "[1] 0.3689221\n", + "\n", + "$MSE_list[[53]][[58]]\n", + "[1] 0.2219207\n", + "\n", + "$MSE_list[[53]][[59]]\n", + "[1] 0.3592169\n", + "\n", + "$MSE_list[[53]][[60]]\n", + "[1] 0.2590405\n", + "\n", + "$MSE_list[[53]][[61]]\n", + "[1] 0.2866802\n", + "\n", + "$MSE_list[[53]][[62]]\n", + "[1] 0.2650317\n", + "\n", + "$MSE_list[[53]][[63]]\n", + "[1] 0.2056161\n", + "\n", + "$MSE_list[[53]][[64]]\n", + "[1] 0.209347\n", + "\n", + "$MSE_list[[53]][[65]]\n", + "[1] 0.4135165\n", + "\n", + "$MSE_list[[53]][[66]]\n", + "[1] 0.3712803\n", + "\n", + "$MSE_list[[53]][[67]]\n", + "[1] 0.175825\n", + "\n", + "$MSE_list[[53]][[68]]\n", + "[1] 0.3036725\n", + "\n", + "$MSE_list[[53]][[69]]\n", + "[1] 0.1871791\n", + "\n", + "$MSE_list[[53]][[70]]\n", + "[1] 0.1299119\n", + "\n", + "$MSE_list[[53]][[71]]\n", + "[1] 0.2411229\n", + "\n", + "$MSE_list[[53]][[72]]\n", + "[1] 0.2993901\n", + "\n", + "$MSE_list[[53]][[73]]\n", + "[1] 0.2327728\n", + "\n", + "$MSE_list[[53]][[74]]\n", + "[1] 0.1517614\n", + "\n", + "$MSE_list[[53]][[75]]\n", + "[1] 0.1900014\n", + "\n", + "$MSE_list[[53]][[76]]\n", + "[1] 0.3018669\n", + "\n", + "$MSE_list[[53]][[77]]\n", + "[1] 0.2402256\n", + "\n", + "$MSE_list[[53]][[78]]\n", + "[1] 0.3564885\n", + "\n", + "$MSE_list[[53]][[79]]\n", + "[1] 0.2527508\n", + "\n", + "$MSE_list[[53]][[80]]\n", + "[1] 0.1835173\n", + "\n", + "$MSE_list[[53]][[81]]\n", + "[1] 0.2301556\n", + "\n", + "$MSE_list[[53]][[82]]\n", + "[1] 0.3708475\n", + "\n", + "$MSE_list[[53]][[83]]\n", + "[1] 0.2449385\n", + "\n", + "$MSE_list[[53]][[84]]\n", + "[1] 0.3233784\n", + "\n", + "$MSE_list[[53]][[85]]\n", + "[1] 0.2767239\n", + "\n", + "$MSE_list[[53]][[86]]\n", + "[1] 0.2281801\n", + "\n", + "$MSE_list[[53]][[87]]\n", + "[1] 0.383486\n", + "\n", + "$MSE_list[[53]][[88]]\n", + "[1] 0.2306067\n", + "\n", + "$MSE_list[[53]][[89]]\n", + "[1] 0.412676\n", + "\n", + "$MSE_list[[53]][[90]]\n", + "[1] 0.3734891\n", + "\n", + "$MSE_list[[53]][[91]]\n", + "[1] 0.07555405\n", + "\n", + "$MSE_list[[53]][[92]]\n", + "[1] 0.2266413\n", + "\n", + "$MSE_list[[53]][[93]]\n", + "[1] 0.3687973\n", + "\n", + "$MSE_list[[53]][[94]]\n", + "[1] 0.1992897\n", + "\n", + "$MSE_list[[53]][[95]]\n", + "[1] 0.2843148\n", + "\n", + "$MSE_list[[53]][[96]]\n", + "[1] 0.1955125\n", + "\n", + "$MSE_list[[53]][[97]]\n", + "[1] 0.1681736\n", + "\n", + "$MSE_list[[53]][[98]]\n", + "[1] 0.2980874\n", + "\n", + "$MSE_list[[53]][[99]]\n", + "[1] 0.2336819\n", + "\n", + "$MSE_list[[53]][[100]]\n", + "[1] 0.2260321\n", + "\n", + "\n", + "$MSE_list[[54]]\n", + "$MSE_list[[54]][[1]]\n", + "[1] 0.2238117\n", + "\n", + "$MSE_list[[54]][[2]]\n", + "[1] 0.1770626\n", + "\n", + "$MSE_list[[54]][[3]]\n", + "[1] 0.2080134\n", + "\n", + "$MSE_list[[54]][[4]]\n", + "[1] 0.25758\n", + "\n", + "$MSE_list[[54]][[5]]\n", + "[1] 0.33275\n", + "\n", + "$MSE_list[[54]][[6]]\n", + "[1] 0.2171738\n", + "\n", + "$MSE_list[[54]][[7]]\n", + "[1] 0.3062085\n", + "\n", + "$MSE_list[[54]][[8]]\n", + "[1] 0.2781705\n", + "\n", + "$MSE_list[[54]][[9]]\n", + "[1] 0.2675442\n", + "\n", + "$MSE_list[[54]][[10]]\n", + "[1] 0.2219039\n", + "\n", + "$MSE_list[[54]][[11]]\n", + "[1] 0.1994827\n", + "\n", + "$MSE_list[[54]][[12]]\n", + "[1] 0.2292046\n", + "\n", + "$MSE_list[[54]][[13]]\n", + "[1] 0.2371661\n", + "\n", + "$MSE_list[[54]][[14]]\n", + "[1] 0.2411783\n", + "\n", + "$MSE_list[[54]][[15]]\n", + "[1] 0.2200175\n", + "\n", + "$MSE_list[[54]][[16]]\n", + "[1] 0.2986327\n", + "\n", + "$MSE_list[[54]][[17]]\n", + "[1] 0.2665457\n", + "\n", + "$MSE_list[[54]][[18]]\n", + "[1] 0.1770295\n", + "\n", + "$MSE_list[[54]][[19]]\n", + "[1] 0.3789968\n", + "\n", + "$MSE_list[[54]][[20]]\n", + "[1] 0.1688342\n", + "\n", + "$MSE_list[[54]][[21]]\n", + "[1] 0.231302\n", + "\n", + "$MSE_list[[54]][[22]]\n", + "[1] 0.2390956\n", + "\n", + "$MSE_list[[54]][[23]]\n", + "[1] 0.3117212\n", + "\n", + "$MSE_list[[54]][[24]]\n", + "[1] 0.195508\n", + "\n", + "$MSE_list[[54]][[25]]\n", + "[1] 0.1453093\n", + "\n", + "$MSE_list[[54]][[26]]\n", + "[1] 0.2900816\n", + "\n", + "$MSE_list[[54]][[27]]\n", + "[1] 0.3597789\n", + "\n", + "$MSE_list[[54]][[28]]\n", + "[1] 0.2469486\n", + "\n", + "$MSE_list[[54]][[29]]\n", + "[1] 0.1461673\n", + "\n", + "$MSE_list[[54]][[30]]\n", + "[1] 0.1746558\n", + "\n", + "$MSE_list[[54]][[31]]\n", + "[1] 0.3553287\n", + "\n", + "$MSE_list[[54]][[32]]\n", + "[1] 0.1820186\n", + "\n", + "$MSE_list[[54]][[33]]\n", + "[1] 0.2953989\n", + "\n", + "$MSE_list[[54]][[34]]\n", + "[1] 0.2143496\n", + "\n", + "$MSE_list[[54]][[35]]\n", + "[1] 0.2090367\n", + "\n", + "$MSE_list[[54]][[36]]\n", + "[1] 0.2681457\n", + "\n", + "$MSE_list[[54]][[37]]\n", + "[1] 0.3563271\n", + "\n", + "$MSE_list[[54]][[38]]\n", + "[1] 0.2979952\n", + "\n", + "$MSE_list[[54]][[39]]\n", + "[1] 0.2478114\n", + "\n", + "$MSE_list[[54]][[40]]\n", + "[1] 0.3184193\n", + "\n", + "$MSE_list[[54]][[41]]\n", + "[1] 0.1889222\n", + "\n", + "$MSE_list[[54]][[42]]\n", + "[1] 0.1869801\n", + "\n", + "$MSE_list[[54]][[43]]\n", + "[1] 0.2075026\n", + "\n", + "$MSE_list[[54]][[44]]\n", + "[1] 0.2508428\n", + "\n", + "$MSE_list[[54]][[45]]\n", + "[1] 0.2081475\n", + "\n", + "$MSE_list[[54]][[46]]\n", + "[1] 0.3882184\n", + "\n", + "$MSE_list[[54]][[47]]\n", + "[1] 0.2714071\n", + "\n", + "$MSE_list[[54]][[48]]\n", + "[1] 0.2232669\n", + "\n", + "$MSE_list[[54]][[49]]\n", + "[1] 0.2675136\n", + "\n", + "$MSE_list[[54]][[50]]\n", + "[1] 0.2416597\n", + "\n", + "$MSE_list[[54]][[51]]\n", + "[1] 0.3340791\n", + "\n", + "$MSE_list[[54]][[52]]\n", + "[1] 0.266498\n", + "\n", + "$MSE_list[[54]][[53]]\n", + "[1] 0.2344266\n", + "\n", + "$MSE_list[[54]][[54]]\n", + "[1] 0.1738357\n", + "\n", + "$MSE_list[[54]][[55]]\n", + "[1] 0.2315747\n", + "\n", + "$MSE_list[[54]][[56]]\n", + "[1] 0.3073456\n", + "\n", + "$MSE_list[[54]][[57]]\n", + "[1] 0.2022881\n", + "\n", + "$MSE_list[[54]][[58]]\n", + "[1] 0.3572183\n", + "\n", + "$MSE_list[[54]][[59]]\n", + "[1] 0.2452444\n", + "\n", + "$MSE_list[[54]][[60]]\n", + "[1] 0.1267633\n", + "\n", + "$MSE_list[[54]][[61]]\n", + "[1] 0.1534494\n", + "\n", + "$MSE_list[[54]][[62]]\n", + "[1] 0.1886211\n", + "\n", + "$MSE_list[[54]][[63]]\n", + "[1] 0.3339419\n", + "\n", + "$MSE_list[[54]][[64]]\n", + "[1] 0.3535429\n", + "\n", + "$MSE_list[[54]][[65]]\n", + "[1] 0.2563935\n", + "\n", + "$MSE_list[[54]][[66]]\n", + "[1] 0.2022549\n", + "\n", + "$MSE_list[[54]][[67]]\n", + "[1] 0.3550371\n", + "\n", + "$MSE_list[[54]][[68]]\n", + "[1] 0.306905\n", + "\n", + "$MSE_list[[54]][[69]]\n", + "[1] 0.2474548\n", + "\n", + "$MSE_list[[54]][[70]]\n", + "[1] 0.2560616\n", + "\n", + "$MSE_list[[54]][[71]]\n", + "[1] 0.2758526\n", + "\n", + "$MSE_list[[54]][[72]]\n", + "[1] 0.3594182\n", + "\n", + "$MSE_list[[54]][[73]]\n", + "[1] 0.336173\n", + "\n", + "$MSE_list[[54]][[74]]\n", + "[1] 0.1699417\n", + "\n", + "$MSE_list[[54]][[75]]\n", + "[1] 0.3156698\n", + "\n", + "$MSE_list[[54]][[76]]\n", + "[1] 0.1180905\n", + "\n", + "$MSE_list[[54]][[77]]\n", + "[1] 0.3310615\n", + "\n", + "$MSE_list[[54]][[78]]\n", + "[1] 0.1672567\n", + "\n", + "$MSE_list[[54]][[79]]\n", + "[1] 0.2801517\n", + "\n", + "$MSE_list[[54]][[80]]\n", + "[1] 0.2096184\n", + "\n", + "$MSE_list[[54]][[81]]\n", + "[1] 0.1702666\n", + "\n", + "$MSE_list[[54]][[82]]\n", + "[1] 0.247427\n", + "\n", + "$MSE_list[[54]][[83]]\n", + "[1] 0.2262808\n", + "\n", + "$MSE_list[[54]][[84]]\n", + "[1] 0.2419619\n", + "\n", + "$MSE_list[[54]][[85]]\n", + "[1] 0.303169\n", + "\n", + "$MSE_list[[54]][[86]]\n", + "[1] 0.2460591\n", + "\n", + "$MSE_list[[54]][[87]]\n", + "[1] 0.1761964\n", + "\n", + "$MSE_list[[54]][[88]]\n", + "[1] 0.3602452\n", + "\n", + "$MSE_list[[54]][[89]]\n", + "[1] 0.2261612\n", + "\n", + "$MSE_list[[54]][[90]]\n", + "[1] 0.3297292\n", + "\n", + "$MSE_list[[54]][[91]]\n", + "[1] 0.3293769\n", + "\n", + "$MSE_list[[54]][[92]]\n", + "[1] 0.2652605\n", + "\n", + "$MSE_list[[54]][[93]]\n", + "[1] 0.215913\n", + "\n", + "$MSE_list[[54]][[94]]\n", + "[1] 0.2258014\n", + "\n", + "$MSE_list[[54]][[95]]\n", + "[1] 0.2578197\n", + "\n", + "$MSE_list[[54]][[96]]\n", + "[1] 0.1916133\n", + "\n", + "$MSE_list[[54]][[97]]\n", + "[1] 0.3113876\n", + "\n", + "$MSE_list[[54]][[98]]\n", + "[1] 0.3846917\n", + "\n", + "$MSE_list[[54]][[99]]\n", + "[1] 0.4427392\n", + "\n", + "$MSE_list[[54]][[100]]\n", + "[1] 0.2915979\n", + "\n", + "\n", + "$MSE_list[[55]]\n", + "$MSE_list[[55]][[1]]\n", + "[1] 0.3287995\n", + "\n", + "$MSE_list[[55]][[2]]\n", + "[1] 0.3112584\n", + "\n", + "$MSE_list[[55]][[3]]\n", + "[1] 0.2790315\n", + "\n", + "$MSE_list[[55]][[4]]\n", + "[1] 0.3274019\n", + "\n", + "$MSE_list[[55]][[5]]\n", + "[1] 0.2715141\n", + "\n", + "$MSE_list[[55]][[6]]\n", + "[1] 0.2455257\n", + "\n", + "$MSE_list[[55]][[7]]\n", + "[1] 0.3004349\n", + "\n", + "$MSE_list[[55]][[8]]\n", + "[1] 0.2863563\n", + "\n", + "$MSE_list[[55]][[9]]\n", + "[1] 0.2145809\n", + "\n", + "$MSE_list[[55]][[10]]\n", + "[1] 0.5189471\n", + "\n", + "$MSE_list[[55]][[11]]\n", + "[1] 0.3537289\n", + "\n", + "$MSE_list[[55]][[12]]\n", + "[1] 0.2858141\n", + "\n", + "$MSE_list[[55]][[13]]\n", + "[1] 0.2313223\n", + "\n", + "$MSE_list[[55]][[14]]\n", + "[1] 0.2656119\n", + "\n", + "$MSE_list[[55]][[15]]\n", + "[1] 0.2004679\n", + "\n", + "$MSE_list[[55]][[16]]\n", + "[1] 0.214831\n", + "\n", + "$MSE_list[[55]][[17]]\n", + "[1] 0.1994773\n", + "\n", + "$MSE_list[[55]][[18]]\n", + "[1] 0.1940325\n", + "\n", + "$MSE_list[[55]][[19]]\n", + "[1] 0.3328768\n", + "\n", + "$MSE_list[[55]][[20]]\n", + "[1] 0.4887127\n", + "\n", + "$MSE_list[[55]][[21]]\n", + "[1] 0.2328787\n", + "\n", + "$MSE_list[[55]][[22]]\n", + "[1] 0.3731345\n", + "\n", + "$MSE_list[[55]][[23]]\n", + "[1] 0.1381549\n", + "\n", + "$MSE_list[[55]][[24]]\n", + "[1] 0.2269125\n", + "\n", + "$MSE_list[[55]][[25]]\n", + "[1] 0.2741788\n", + "\n", + "$MSE_list[[55]][[26]]\n", + "[1] 0.2466765\n", + "\n", + "$MSE_list[[55]][[27]]\n", + "[1] 0.1775574\n", + "\n", + "$MSE_list[[55]][[28]]\n", + "[1] 0.2641879\n", + "\n", + "$MSE_list[[55]][[29]]\n", + "[1] 0.1803423\n", + "\n", + "$MSE_list[[55]][[30]]\n", + "[1] 0.164383\n", + "\n", + "$MSE_list[[55]][[31]]\n", + "[1] 0.1730644\n", + "\n", + "$MSE_list[[55]][[32]]\n", + "[1] 0.305534\n", + "\n", + "$MSE_list[[55]][[33]]\n", + "[1] 0.3915266\n", + "\n", + "$MSE_list[[55]][[34]]\n", + "[1] 0.3215419\n", + "\n", + "$MSE_list[[55]][[35]]\n", + "[1] 0.2448024\n", + "\n", + "$MSE_list[[55]][[36]]\n", + "[1] 0.3849916\n", + "\n", + "$MSE_list[[55]][[37]]\n", + "[1] 0.4548555\n", + "\n", + "$MSE_list[[55]][[38]]\n", + "[1] 0.2987122\n", + "\n", + "$MSE_list[[55]][[39]]\n", + "[1] 0.1764285\n", + "\n", + "$MSE_list[[55]][[40]]\n", + "[1] 0.2648924\n", + "\n", + "$MSE_list[[55]][[41]]\n", + "[1] 0.1891695\n", + "\n", + "$MSE_list[[55]][[42]]\n", + "[1] 0.1312536\n", + "\n", + "$MSE_list[[55]][[43]]\n", + "[1] 0.3564004\n", + "\n", + "$MSE_list[[55]][[44]]\n", + "[1] 0.09223354\n", + "\n", + "$MSE_list[[55]][[45]]\n", + "[1] 0.3117983\n", + "\n", + "$MSE_list[[55]][[46]]\n", + "[1] 0.2552899\n", + "\n", + "$MSE_list[[55]][[47]]\n", + "[1] 0.1588878\n", + "\n", + "$MSE_list[[55]][[48]]\n", + "[1] 0.2209731\n", + "\n", + "$MSE_list[[55]][[49]]\n", + "[1] 0.3099086\n", + "\n", + "$MSE_list[[55]][[50]]\n", + "[1] 0.3134677\n", + "\n", + "$MSE_list[[55]][[51]]\n", + "[1] 0.193147\n", + "\n", + "$MSE_list[[55]][[52]]\n", + "[1] 0.2100012\n", + "\n", + "$MSE_list[[55]][[53]]\n", + "[1] 0.1621306\n", + "\n", + "$MSE_list[[55]][[54]]\n", + "[1] 0.2820734\n", + "\n", + "$MSE_list[[55]][[55]]\n", + "[1] 0.3391029\n", + "\n", + "$MSE_list[[55]][[56]]\n", + "[1] 0.1927887\n", + "\n", + "$MSE_list[[55]][[57]]\n", + "[1] 0.2959629\n", + "\n", + "$MSE_list[[55]][[58]]\n", + "[1] 0.2467124\n", + "\n", + "$MSE_list[[55]][[59]]\n", + "[1] 0.3081444\n", + "\n", + "$MSE_list[[55]][[60]]\n", + "[1] 0.3029507\n", + "\n", + "$MSE_list[[55]][[61]]\n", + "[1] 0.4148934\n", + "\n", + "$MSE_list[[55]][[62]]\n", + "[1] 0.4206951\n", + "\n", + "$MSE_list[[55]][[63]]\n", + "[1] 0.4115493\n", + "\n", + "$MSE_list[[55]][[64]]\n", + "[1] 0.3466242\n", + "\n", + "$MSE_list[[55]][[65]]\n", + "[1] 0.3737793\n", + "\n", + "$MSE_list[[55]][[66]]\n", + "[1] 0.0458676\n", + "\n", + "$MSE_list[[55]][[67]]\n", + "[1] 0.3347949\n", + "\n", + "$MSE_list[[55]][[68]]\n", + "[1] 0.09521604\n", + "\n", + "$MSE_list[[55]][[69]]\n", + "[1] 0.3204639\n", + "\n", + "$MSE_list[[55]][[70]]\n", + "[1] 0.3427441\n", + "\n", + "$MSE_list[[55]][[71]]\n", + "[1] 0.2822166\n", + "\n", + "$MSE_list[[55]][[72]]\n", + "[1] 0.1281507\n", + "\n", + "$MSE_list[[55]][[73]]\n", + "[1] 0.2092303\n", + "\n", + "$MSE_list[[55]][[74]]\n", + "[1] 0.3541176\n", + "\n", + "$MSE_list[[55]][[75]]\n", + "[1] 0.332246\n", + "\n", + "$MSE_list[[55]][[76]]\n", + "[1] 0.2974155\n", + "\n", + "$MSE_list[[55]][[77]]\n", + "[1] 0.3169028\n", + "\n", + "$MSE_list[[55]][[78]]\n", + "[1] 0.1840956\n", + "\n", + "$MSE_list[[55]][[79]]\n", + "[1] 0.3216346\n", + "\n", + "$MSE_list[[55]][[80]]\n", + "[1] 0.1984931\n", + "\n", + "$MSE_list[[55]][[81]]\n", + "[1] 0.2205789\n", + "\n", + "$MSE_list[[55]][[82]]\n", + "[1] 0.3137684\n", + "\n", + "$MSE_list[[55]][[83]]\n", + "[1] 0.3153061\n", + "\n", + "$MSE_list[[55]][[84]]\n", + "[1] 0.2644162\n", + "\n", + "$MSE_list[[55]][[85]]\n", + "[1] 0.2837299\n", + "\n", + "$MSE_list[[55]][[86]]\n", + "[1] 0.2789358\n", + "\n", + "$MSE_list[[55]][[87]]\n", + "[1] 0.2346319\n", + "\n", + "$MSE_list[[55]][[88]]\n", + "[1] 0.2643567\n", + "\n", + "$MSE_list[[55]][[89]]\n", + "[1] 0.2941196\n", + "\n", + "$MSE_list[[55]][[90]]\n", + "[1] 0.1869034\n", + "\n", + "$MSE_list[[55]][[91]]\n", + "[1] 0.4386676\n", + "\n", + "$MSE_list[[55]][[92]]\n", + "[1] 0.2367965\n", + "\n", + "$MSE_list[[55]][[93]]\n", + "[1] 0.2778681\n", + "\n", + "$MSE_list[[55]][[94]]\n", + "[1] 0.271281\n", + "\n", + "$MSE_list[[55]][[95]]\n", + "[1] 0.2131538\n", + "\n", + "$MSE_list[[55]][[96]]\n", + "[1] 0.2601861\n", + "\n", + "$MSE_list[[55]][[97]]\n", + "[1] 0.4818054\n", + "\n", + "$MSE_list[[55]][[98]]\n", + "[1] 0.368269\n", + "\n", + "$MSE_list[[55]][[99]]\n", + "[1] 0.3168346\n", + "\n", + "$MSE_list[[55]][[100]]\n", + "[1] 0.251217\n", + "\n", + "\n", + "$MSE_list[[56]]\n", + "$MSE_list[[56]][[1]]\n", + "[1] 0.3356245\n", + "\n", + "$MSE_list[[56]][[2]]\n", + "[1] 0.2765075\n", + "\n", + "$MSE_list[[56]][[3]]\n", + "[1] 0.2474843\n", + "\n", + "$MSE_list[[56]][[4]]\n", + "[1] 0.243544\n", + "\n", + "$MSE_list[[56]][[5]]\n", + "[1] 0.1252114\n", + "\n", + "$MSE_list[[56]][[6]]\n", + "[1] 0.155539\n", + "\n", + "$MSE_list[[56]][[7]]\n", + "[1] 0.3889453\n", + "\n", + "$MSE_list[[56]][[8]]\n", + "[1] 0.2266408\n", + "\n", + "$MSE_list[[56]][[9]]\n", + "[1] 0.2351476\n", + "\n", + "$MSE_list[[56]][[10]]\n", + "[1] 0.2852931\n", + "\n", + "$MSE_list[[56]][[11]]\n", + "[1] 0.1234695\n", + "\n", + "$MSE_list[[56]][[12]]\n", + "[1] 0.136366\n", + "\n", + "$MSE_list[[56]][[13]]\n", + "[1] 0.2790467\n", + "\n", + "$MSE_list[[56]][[14]]\n", + "[1] 0.3799302\n", + "\n", + "$MSE_list[[56]][[15]]\n", + "[1] 0.1823959\n", + "\n", + "$MSE_list[[56]][[16]]\n", + "[1] 0.2513765\n", + "\n", + "$MSE_list[[56]][[17]]\n", + "[1] 0.4153194\n", + "\n", + "$MSE_list[[56]][[18]]\n", + "[1] 0.1158719\n", + "\n", + "$MSE_list[[56]][[19]]\n", + "[1] 0.1873824\n", + "\n", + "$MSE_list[[56]][[20]]\n", + "[1] 0.2189317\n", + "\n", + "$MSE_list[[56]][[21]]\n", + "[1] 0.2842483\n", + "\n", + "$MSE_list[[56]][[22]]\n", + "[1] 0.2804521\n", + "\n", + "$MSE_list[[56]][[23]]\n", + "[1] 0.2897649\n", + "\n", + "$MSE_list[[56]][[24]]\n", + "[1] 0.2541403\n", + "\n", + "$MSE_list[[56]][[25]]\n", + "[1] 0.2542099\n", + "\n", + "$MSE_list[[56]][[26]]\n", + "[1] 0.2682574\n", + "\n", + "$MSE_list[[56]][[27]]\n", + "[1] 0.1906139\n", + "\n", + "$MSE_list[[56]][[28]]\n", + "[1] 0.1869105\n", + "\n", + "$MSE_list[[56]][[29]]\n", + "[1] 0.2355225\n", + "\n", + "$MSE_list[[56]][[30]]\n", + "[1] 0.2295767\n", + "\n", + "$MSE_list[[56]][[31]]\n", + "[1] 0.2465157\n", + "\n", + "$MSE_list[[56]][[32]]\n", + "[1] 0.1491656\n", + "\n", + "$MSE_list[[56]][[33]]\n", + "[1] 0.2727873\n", + "\n", + "$MSE_list[[56]][[34]]\n", + "[1] 0.2826288\n", + "\n", + "$MSE_list[[56]][[35]]\n", + "[1] 0.2460043\n", + "\n", + "$MSE_list[[56]][[36]]\n", + "[1] 0.2355031\n", + "\n", + "$MSE_list[[56]][[37]]\n", + "[1] 0.1988068\n", + "\n", + "$MSE_list[[56]][[38]]\n", + "[1] 0.3899767\n", + "\n", + "$MSE_list[[56]][[39]]\n", + "[1] 0.203822\n", + "\n", + "$MSE_list[[56]][[40]]\n", + "[1] 0.3006715\n", + "\n", + "$MSE_list[[56]][[41]]\n", + "[1] 0.2347598\n", + "\n", + "$MSE_list[[56]][[42]]\n", + "[1] 0.1426029\n", + "\n", + "$MSE_list[[56]][[43]]\n", + "[1] 0.2643664\n", + "\n", + "$MSE_list[[56]][[44]]\n", + "[1] 0.1948485\n", + "\n", + "$MSE_list[[56]][[45]]\n", + "[1] 0.3034344\n", + "\n", + "$MSE_list[[56]][[46]]\n", + "[1] 0.3431864\n", + "\n", + "$MSE_list[[56]][[47]]\n", + "[1] 0.2352812\n", + "\n", + "$MSE_list[[56]][[48]]\n", + "[1] 0.3219397\n", + "\n", + "$MSE_list[[56]][[49]]\n", + "[1] 0.1685086\n", + "\n", + "$MSE_list[[56]][[50]]\n", + "[1] 0.4448285\n", + "\n", + "$MSE_list[[56]][[51]]\n", + "[1] 0.3598299\n", + "\n", + "$MSE_list[[56]][[52]]\n", + "[1] 0.2221191\n", + "\n", + "$MSE_list[[56]][[53]]\n", + "[1] 0.2187173\n", + "\n", + "$MSE_list[[56]][[54]]\n", + "[1] 0.358661\n", + "\n", + "$MSE_list[[56]][[55]]\n", + "[1] 0.2404607\n", + "\n", + "$MSE_list[[56]][[56]]\n", + "[1] 0.1933545\n", + "\n", + "$MSE_list[[56]][[57]]\n", + "[1] 0.3106878\n", + "\n", + "$MSE_list[[56]][[58]]\n", + "[1] 0.1692023\n", + "\n", + "$MSE_list[[56]][[59]]\n", + "[1] 0.1298645\n", + "\n", + "$MSE_list[[56]][[60]]\n", + "[1] 0.359941\n", + "\n", + "$MSE_list[[56]][[61]]\n", + "[1] 0.1334538\n", + "\n", + "$MSE_list[[56]][[62]]\n", + "[1] 0.1891074\n", + "\n", + "$MSE_list[[56]][[63]]\n", + "[1] 0.2484915\n", + "\n", + "$MSE_list[[56]][[64]]\n", + "[1] 0.3393802\n", + "\n", + "$MSE_list[[56]][[65]]\n", + "[1] 0.1128073\n", + "\n", + "$MSE_list[[56]][[66]]\n", + "[1] 0.2543913\n", + "\n", + "$MSE_list[[56]][[67]]\n", + "[1] 0.2342949\n", + "\n", + "$MSE_list[[56]][[68]]\n", + "[1] 0.1774551\n", + "\n", + "$MSE_list[[56]][[69]]\n", + "[1] 0.1577994\n", + "\n", + "$MSE_list[[56]][[70]]\n", + "[1] 0.2753788\n", + "\n", + "$MSE_list[[56]][[71]]\n", + "[1] 0.2141158\n", + "\n", + "$MSE_list[[56]][[72]]\n", + "[1] 0.1571283\n", + "\n", + "$MSE_list[[56]][[73]]\n", + "[1] 0.2539129\n", + "\n", + "$MSE_list[[56]][[74]]\n", + "[1] 0.3745555\n", + "\n", + "$MSE_list[[56]][[75]]\n", + "[1] 0.384794\n", + "\n", + "$MSE_list[[56]][[76]]\n", + "[1] 0.1188556\n", + "\n", + "$MSE_list[[56]][[77]]\n", + "[1] 0.2300364\n", + "\n", + "$MSE_list[[56]][[78]]\n", + "[1] 0.1630796\n", + "\n", + "$MSE_list[[56]][[79]]\n", + "[1] 0.3172762\n", + "\n", + "$MSE_list[[56]][[80]]\n", + "[1] 0.3126196\n", + "\n", + "$MSE_list[[56]][[81]]\n", + "[1] 0.1880583\n", + "\n", + "$MSE_list[[56]][[82]]\n", + "[1] 0.121338\n", + "\n", + "$MSE_list[[56]][[83]]\n", + "[1] 0.3463656\n", + "\n", + "$MSE_list[[56]][[84]]\n", + "[1] 0.2139047\n", + "\n", + "$MSE_list[[56]][[85]]\n", + "[1] 0.2385694\n", + "\n", + "$MSE_list[[56]][[86]]\n", + "[1] 0.3034887\n", + "\n", + "$MSE_list[[56]][[87]]\n", + "[1] 0.1295973\n", + "\n", + "$MSE_list[[56]][[88]]\n", + "[1] 0.2892261\n", + "\n", + "$MSE_list[[56]][[89]]\n", + "[1] 0.1935081\n", + "\n", + "$MSE_list[[56]][[90]]\n", + "[1] 0.1623098\n", + "\n", + "$MSE_list[[56]][[91]]\n", + "[1] 0.206461\n", + "\n", + "$MSE_list[[56]][[92]]\n", + "[1] 0.3717677\n", + "\n", + "$MSE_list[[56]][[93]]\n", + "[1] 0.3081602\n", + "\n", + "$MSE_list[[56]][[94]]\n", + "[1] 0.2564319\n", + "\n", + "$MSE_list[[56]][[95]]\n", + "[1] 0.1988918\n", + "\n", + "$MSE_list[[56]][[96]]\n", + "[1] 0.3471586\n", + "\n", + "$MSE_list[[56]][[97]]\n", + "[1] 0.2092514\n", + "\n", + "$MSE_list[[56]][[98]]\n", + "[1] 0.06298789\n", + "\n", + "$MSE_list[[56]][[99]]\n", + "[1] 0.1548356\n", + "\n", + "$MSE_list[[56]][[100]]\n", + "[1] 0.2191483\n", + "\n", + "\n", + "$MSE_list[[57]]\n", + "$MSE_list[[57]][[1]]\n", + "[1] 0.3070116\n", + "\n", + "$MSE_list[[57]][[2]]\n", + "[1] 0.2471266\n", + "\n", + "$MSE_list[[57]][[3]]\n", + "[1] 0.3260933\n", + "\n", + "$MSE_list[[57]][[4]]\n", + "[1] 0.2323843\n", + "\n", + "$MSE_list[[57]][[5]]\n", + "[1] 0.1703951\n", + "\n", + "$MSE_list[[57]][[6]]\n", + "[1] 0.1620614\n", + "\n", + "$MSE_list[[57]][[7]]\n", + "[1] 0.357324\n", + "\n", + "$MSE_list[[57]][[8]]\n", + "[1] 0.1533455\n", + "\n", + "$MSE_list[[57]][[9]]\n", + "[1] 0.1171489\n", + "\n", + "$MSE_list[[57]][[10]]\n", + "[1] 0.1751056\n", + "\n", + "$MSE_list[[57]][[11]]\n", + "[1] 0.1075015\n", + "\n", + "$MSE_list[[57]][[12]]\n", + "[1] 0.1305417\n", + "\n", + "$MSE_list[[57]][[13]]\n", + "[1] 0.2428847\n", + "\n", + "$MSE_list[[57]][[14]]\n", + "[1] 0.1455414\n", + "\n", + "$MSE_list[[57]][[15]]\n", + "[1] 0.2104339\n", + "\n", + "$MSE_list[[57]][[16]]\n", + "[1] 0.3508948\n", + "\n", + "$MSE_list[[57]][[17]]\n", + "[1] 0.185171\n", + "\n", + "$MSE_list[[57]][[18]]\n", + "[1] 0.3205465\n", + "\n", + "$MSE_list[[57]][[19]]\n", + "[1] 0.2929753\n", + "\n", + "$MSE_list[[57]][[20]]\n", + "[1] 0.2630031\n", + "\n", + "$MSE_list[[57]][[21]]\n", + "[1] 0.2966777\n", + "\n", + "$MSE_list[[57]][[22]]\n", + "[1] 0.2037876\n", + "\n", + "$MSE_list[[57]][[23]]\n", + "[1] 0.1337613\n", + "\n", + "$MSE_list[[57]][[24]]\n", + "[1] 0.2678745\n", + "\n", + "$MSE_list[[57]][[25]]\n", + "[1] 0.2915978\n", + "\n", + "$MSE_list[[57]][[26]]\n", + "[1] 0.3168084\n", + "\n", + "$MSE_list[[57]][[27]]\n", + "[1] 0.3263205\n", + "\n", + "$MSE_list[[57]][[28]]\n", + "[1] 0.2773746\n", + "\n", + "$MSE_list[[57]][[29]]\n", + "[1] 0.2794136\n", + "\n", + "$MSE_list[[57]][[30]]\n", + "[1] 0.2758357\n", + "\n", + "$MSE_list[[57]][[31]]\n", + "[1] 0.1190307\n", + "\n", + "$MSE_list[[57]][[32]]\n", + "[1] 0.1535574\n", + "\n", + "$MSE_list[[57]][[33]]\n", + "[1] 0.2025165\n", + "\n", + "$MSE_list[[57]][[34]]\n", + "[1] 0.1953361\n", + "\n", + "$MSE_list[[57]][[35]]\n", + "[1] 0.347283\n", + "\n", + "$MSE_list[[57]][[36]]\n", + "[1] 0.2603664\n", + "\n", + "$MSE_list[[57]][[37]]\n", + "[1] 0.3019298\n", + "\n", + "$MSE_list[[57]][[38]]\n", + "[1] 0.3679208\n", + "\n", + "$MSE_list[[57]][[39]]\n", + "[1] 0.116552\n", + "\n", + "$MSE_list[[57]][[40]]\n", + "[1] 0.3528296\n", + "\n", + "$MSE_list[[57]][[41]]\n", + "[1] 0.2794214\n", + "\n", + "$MSE_list[[57]][[42]]\n", + "[1] 0.2551745\n", + "\n", + "$MSE_list[[57]][[43]]\n", + "[1] 0.171546\n", + "\n", + "$MSE_list[[57]][[44]]\n", + "[1] 0.2049224\n", + "\n", + "$MSE_list[[57]][[45]]\n", + "[1] 0.2431313\n", + "\n", + "$MSE_list[[57]][[46]]\n", + "[1] 0.2297458\n", + "\n", + "$MSE_list[[57]][[47]]\n", + "[1] 0.2484889\n", + "\n", + "$MSE_list[[57]][[48]]\n", + "[1] 0.1844581\n", + "\n", + "$MSE_list[[57]][[49]]\n", + "[1] 0.2116063\n", + "\n", + "$MSE_list[[57]][[50]]\n", + "[1] 0.255079\n", + "\n", + "$MSE_list[[57]][[51]]\n", + "[1] 0.214852\n", + "\n", + "$MSE_list[[57]][[52]]\n", + "[1] 0.1913675\n", + "\n", + "$MSE_list[[57]][[53]]\n", + "[1] 0.3247182\n", + "\n", + "$MSE_list[[57]][[54]]\n", + "[1] 0.2678148\n", + "\n", + "$MSE_list[[57]][[55]]\n", + "[1] 0.201214\n", + "\n", + "$MSE_list[[57]][[56]]\n", + "[1] 0.3457311\n", + "\n", + "$MSE_list[[57]][[57]]\n", + "[1] 0.2882549\n", + "\n", + "$MSE_list[[57]][[58]]\n", + "[1] 0.1489953\n", + "\n", + "$MSE_list[[57]][[59]]\n", + "[1] 0.2957153\n", + "\n", + "$MSE_list[[57]][[60]]\n", + "[1] 0.377941\n", + "\n", + "$MSE_list[[57]][[61]]\n", + "[1] 0.245022\n", + "\n", + "$MSE_list[[57]][[62]]\n", + "[1] 0.3203628\n", + "\n", + "$MSE_list[[57]][[63]]\n", + "[1] 0.3195358\n", + "\n", + "$MSE_list[[57]][[64]]\n", + "[1] 0.2862078\n", + "\n", + "$MSE_list[[57]][[65]]\n", + "[1] 0.2895215\n", + "\n", + "$MSE_list[[57]][[66]]\n", + "[1] 0.3455269\n", + "\n", + "$MSE_list[[57]][[67]]\n", + "[1] 0.2555066\n", + "\n", + "$MSE_list[[57]][[68]]\n", + "[1] 0.2652549\n", + "\n", + "$MSE_list[[57]][[69]]\n", + "[1] 0.4543813\n", + "\n", + "$MSE_list[[57]][[70]]\n", + "[1] 0.2686431\n", + "\n", + "$MSE_list[[57]][[71]]\n", + "[1] 0.3369834\n", + "\n", + "$MSE_list[[57]][[72]]\n", + "[1] 0.2858928\n", + "\n", + "$MSE_list[[57]][[73]]\n", + "[1] 0.2744464\n", + "\n", + "$MSE_list[[57]][[74]]\n", + "[1] 0.285946\n", + "\n", + "$MSE_list[[57]][[75]]\n", + "[1] 0.2473317\n", + "\n", + "$MSE_list[[57]][[76]]\n", + "[1] 0.2162365\n", + "\n", + "$MSE_list[[57]][[77]]\n", + "[1] 0.2525653\n", + "\n", + "$MSE_list[[57]][[78]]\n", + "[1] 0.2230764\n", + "\n", + "$MSE_list[[57]][[79]]\n", + "[1] 0.2128896\n", + "\n", + "$MSE_list[[57]][[80]]\n", + "[1] 0.2457893\n", + "\n", + "$MSE_list[[57]][[81]]\n", + "[1] 0.2440097\n", + "\n", + "$MSE_list[[57]][[82]]\n", + "[1] 0.1817475\n", + "\n", + "$MSE_list[[57]][[83]]\n", + "[1] 0.2617733\n", + "\n", + "$MSE_list[[57]][[84]]\n", + "[1] 0.3031628\n", + "\n", + "$MSE_list[[57]][[85]]\n", + "[1] 0.4142536\n", + "\n", + "$MSE_list[[57]][[86]]\n", + "[1] 0.1937931\n", + "\n", + "$MSE_list[[57]][[87]]\n", + "[1] 0.2700064\n", + "\n", + "$MSE_list[[57]][[88]]\n", + "[1] 0.1203469\n", + "\n", + "$MSE_list[[57]][[89]]\n", + "[1] 0.2158934\n", + "\n", + "$MSE_list[[57]][[90]]\n", + "[1] 0.2440325\n", + "\n", + "$MSE_list[[57]][[91]]\n", + "[1] 0.1253718\n", + "\n", + "$MSE_list[[57]][[92]]\n", + "[1] 0.2810048\n", + "\n", + "$MSE_list[[57]][[93]]\n", + "[1] 0.2844824\n", + "\n", + "$MSE_list[[57]][[94]]\n", + "[1] 0.2479292\n", + "\n", + "$MSE_list[[57]][[95]]\n", + "[1] 0.3672917\n", + "\n", + "$MSE_list[[57]][[96]]\n", + "[1] 0.3661138\n", + "\n", + "$MSE_list[[57]][[97]]\n", + "[1] 0.1463066\n", + "\n", + "$MSE_list[[57]][[98]]\n", + "[1] 0.2136961\n", + "\n", + "$MSE_list[[57]][[99]]\n", + "[1] 0.1556773\n", + "\n", + "$MSE_list[[57]][[100]]\n", + "[1] 0.1395233\n", + "\n", + "\n", + "$MSE_list[[58]]\n", + "$MSE_list[[58]][[1]]\n", + "[1] 0.214594\n", + "\n", + "$MSE_list[[58]][[2]]\n", + "[1] 0.2723091\n", + "\n", + "$MSE_list[[58]][[3]]\n", + "[1] 0.3332863\n", + "\n", + "$MSE_list[[58]][[4]]\n", + "[1] 0.2554241\n", + "\n", + "$MSE_list[[58]][[5]]\n", + "[1] 0.1933852\n", + "\n", + "$MSE_list[[58]][[6]]\n", + "[1] 0.2813837\n", + "\n", + "$MSE_list[[58]][[7]]\n", + "[1] 0.1446826\n", + "\n", + "$MSE_list[[58]][[8]]\n", + "[1] 0.3123605\n", + "\n", + "$MSE_list[[58]][[9]]\n", + "[1] 0.2297092\n", + "\n", + "$MSE_list[[58]][[10]]\n", + "[1] 0.2296672\n", + "\n", + "$MSE_list[[58]][[11]]\n", + "[1] 0.2932961\n", + "\n", + "$MSE_list[[58]][[12]]\n", + "[1] 0.2216988\n", + "\n", + "$MSE_list[[58]][[13]]\n", + "[1] 0.2214562\n", + "\n", + "$MSE_list[[58]][[14]]\n", + "[1] 0.1824549\n", + "\n", + "$MSE_list[[58]][[15]]\n", + "[1] 0.23192\n", + "\n", + "$MSE_list[[58]][[16]]\n", + "[1] 0.2798858\n", + "\n", + "$MSE_list[[58]][[17]]\n", + "[1] 0.139211\n", + "\n", + "$MSE_list[[58]][[18]]\n", + "[1] 0.2355144\n", + "\n", + "$MSE_list[[58]][[19]]\n", + "[1] 0.266745\n", + "\n", + "$MSE_list[[58]][[20]]\n", + "[1] 0.3053961\n", + "\n", + "$MSE_list[[58]][[21]]\n", + "[1] 0.2581621\n", + "\n", + "$MSE_list[[58]][[22]]\n", + "[1] 0.2337594\n", + "\n", + "$MSE_list[[58]][[23]]\n", + "[1] 0.1582848\n", + "\n", + "$MSE_list[[58]][[24]]\n", + "[1] 0.3181325\n", + "\n", + "$MSE_list[[58]][[25]]\n", + "[1] 0.2227065\n", + "\n", + "$MSE_list[[58]][[26]]\n", + "[1] 0.2158814\n", + "\n", + "$MSE_list[[58]][[27]]\n", + "[1] 0.2010403\n", + "\n", + "$MSE_list[[58]][[28]]\n", + "[1] 0.2656451\n", + "\n", + "$MSE_list[[58]][[29]]\n", + "[1] 0.1834006\n", + "\n", + "$MSE_list[[58]][[30]]\n", + "[1] 0.2352848\n", + "\n", + "$MSE_list[[58]][[31]]\n", + "[1] 0.2436071\n", + "\n", + "$MSE_list[[58]][[32]]\n", + "[1] 0.1755646\n", + "\n", + "$MSE_list[[58]][[33]]\n", + "[1] 0.1989367\n", + "\n", + "$MSE_list[[58]][[34]]\n", + "[1] 0.3336009\n", + "\n", + "$MSE_list[[58]][[35]]\n", + "[1] 0.2433085\n", + "\n", + "$MSE_list[[58]][[36]]\n", + "[1] 0.3102918\n", + "\n", + "$MSE_list[[58]][[37]]\n", + "[1] 0.25394\n", + "\n", + "$MSE_list[[58]][[38]]\n", + "[1] 0.1401576\n", + "\n", + "$MSE_list[[58]][[39]]\n", + "[1] 0.2095092\n", + "\n", + "$MSE_list[[58]][[40]]\n", + "[1] 0.2810089\n", + "\n", + "$MSE_list[[58]][[41]]\n", + "[1] 0.308949\n", + "\n", + "$MSE_list[[58]][[42]]\n", + "[1] 0.2043677\n", + "\n", + "$MSE_list[[58]][[43]]\n", + "[1] 0.3114687\n", + "\n", + "$MSE_list[[58]][[44]]\n", + "[1] 0.2691097\n", + "\n", + "$MSE_list[[58]][[45]]\n", + "[1] 0.2568987\n", + "\n", + "$MSE_list[[58]][[46]]\n", + "[1] 0.297384\n", + "\n", + "$MSE_list[[58]][[47]]\n", + "[1] 0.2224129\n", + "\n", + "$MSE_list[[58]][[48]]\n", + "[1] 0.2885438\n", + "\n", + "$MSE_list[[58]][[49]]\n", + "[1] 0.1819777\n", + "\n", + "$MSE_list[[58]][[50]]\n", + "[1] 0.2786193\n", + "\n", + "$MSE_list[[58]][[51]]\n", + "[1] 0.1873594\n", + "\n", + "$MSE_list[[58]][[52]]\n", + "[1] 0.1910633\n", + "\n", + "$MSE_list[[58]][[53]]\n", + "[1] 0.2450376\n", + "\n", + "$MSE_list[[58]][[54]]\n", + "[1] 0.2196771\n", + "\n", + "$MSE_list[[58]][[55]]\n", + "[1] 0.2569167\n", + "\n", + "$MSE_list[[58]][[56]]\n", + "[1] 0.2656054\n", + "\n", + "$MSE_list[[58]][[57]]\n", + "[1] 0.2892209\n", + "\n", + "$MSE_list[[58]][[58]]\n", + "[1] 0.2194267\n", + "\n", + "$MSE_list[[58]][[59]]\n", + "[1] 0.1385962\n", + "\n", + "$MSE_list[[58]][[60]]\n", + "[1] 0.35768\n", + "\n", + "$MSE_list[[58]][[61]]\n", + "[1] 0.3697789\n", + "\n", + "$MSE_list[[58]][[62]]\n", + "[1] 0.1225172\n", + "\n", + "$MSE_list[[58]][[63]]\n", + "[1] 0.3758449\n", + "\n", + "$MSE_list[[58]][[64]]\n", + "[1] 0.2420286\n", + "\n", + "$MSE_list[[58]][[65]]\n", + "[1] 0.2964184\n", + "\n", + "$MSE_list[[58]][[66]]\n", + "[1] 0.2399271\n", + "\n", + "$MSE_list[[58]][[67]]\n", + "[1] 0.1990834\n", + "\n", + "$MSE_list[[58]][[68]]\n", + "[1] 0.2155225\n", + "\n", + "$MSE_list[[58]][[69]]\n", + "[1] 0.3462773\n", + "\n", + "$MSE_list[[58]][[70]]\n", + "[1] 0.1778525\n", + "\n", + "$MSE_list[[58]][[71]]\n", + "[1] 0.3040937\n", + "\n", + "$MSE_list[[58]][[72]]\n", + "[1] 0.3484474\n", + "\n", + "$MSE_list[[58]][[73]]\n", + "[1] 0.3112259\n", + "\n", + "$MSE_list[[58]][[74]]\n", + "[1] 0.2691158\n", + "\n", + "$MSE_list[[58]][[75]]\n", + "[1] 0.1909502\n", + "\n", + "$MSE_list[[58]][[76]]\n", + "[1] 0.2632882\n", + "\n", + "$MSE_list[[58]][[77]]\n", + "[1] 0.1897132\n", + "\n", + "$MSE_list[[58]][[78]]\n", + "[1] 0.2517661\n", + "\n", + "$MSE_list[[58]][[79]]\n", + "[1] 0.3055122\n", + "\n", + "$MSE_list[[58]][[80]]\n", + "[1] 0.2075186\n", + "\n", + "$MSE_list[[58]][[81]]\n", + "[1] 0.2631392\n", + "\n", + "$MSE_list[[58]][[82]]\n", + "[1] 0.1280244\n", + "\n", + "$MSE_list[[58]][[83]]\n", + "[1] 0.2244568\n", + "\n", + "$MSE_list[[58]][[84]]\n", + "[1] 0.3473769\n", + "\n", + "$MSE_list[[58]][[85]]\n", + "[1] 0.4054024\n", + "\n", + "$MSE_list[[58]][[86]]\n", + "[1] 0.3201885\n", + "\n", + "$MSE_list[[58]][[87]]\n", + "[1] 0.09318048\n", + "\n", + "$MSE_list[[58]][[88]]\n", + "[1] 0.1743078\n", + "\n", + "$MSE_list[[58]][[89]]\n", + "[1] 0.2723562\n", + "\n", + "$MSE_list[[58]][[90]]\n", + "[1] 0.2066087\n", + "\n", + "$MSE_list[[58]][[91]]\n", + "[1] 0.2982652\n", + "\n", + "$MSE_list[[58]][[92]]\n", + "[1] 0.167269\n", + "\n", + "$MSE_list[[58]][[93]]\n", + "[1] 0.2310345\n", + "\n", + "$MSE_list[[58]][[94]]\n", + "[1] 0.2840768\n", + "\n", + "$MSE_list[[58]][[95]]\n", + "[1] 0.3655602\n", + "\n", + "$MSE_list[[58]][[96]]\n", + "[1] 0.2063638\n", + "\n", + "$MSE_list[[58]][[97]]\n", + "[1] 0.293993\n", + "\n", + "$MSE_list[[58]][[98]]\n", + "[1] 0.1843603\n", + "\n", + "$MSE_list[[58]][[99]]\n", + "[1] 0.153546\n", + "\n", + "$MSE_list[[58]][[100]]\n", + "[1] 0.2515409\n", + "\n", + "\n", + "$MSE_list[[59]]\n", + "$MSE_list[[59]][[1]]\n", + "[1] 0.2853246\n", + "\n", + "$MSE_list[[59]][[2]]\n", + "[1] 0.3397692\n", + "\n", + "$MSE_list[[59]][[3]]\n", + "[1] 0.4489239\n", + "\n", + "$MSE_list[[59]][[4]]\n", + "[1] 0.3303426\n", + "\n", + "$MSE_list[[59]][[5]]\n", + "[1] 0.3860678\n", + "\n", + "$MSE_list[[59]][[6]]\n", + "[1] 0.3214409\n", + "\n", + "$MSE_list[[59]][[7]]\n", + "[1] 0.2286638\n", + "\n", + "$MSE_list[[59]][[8]]\n", + "[1] 0.2138058\n", + "\n", + "$MSE_list[[59]][[9]]\n", + "[1] 0.1539294\n", + "\n", + "$MSE_list[[59]][[10]]\n", + "[1] 0.2932878\n", + "\n", + "$MSE_list[[59]][[11]]\n", + "[1] 0.2791075\n", + "\n", + "$MSE_list[[59]][[12]]\n", + "[1] 0.2616832\n", + "\n", + "$MSE_list[[59]][[13]]\n", + "[1] 0.2998002\n", + "\n", + "$MSE_list[[59]][[14]]\n", + "[1] 0.3300437\n", + "\n", + "$MSE_list[[59]][[15]]\n", + "[1] 0.2887513\n", + "\n", + "$MSE_list[[59]][[16]]\n", + "[1] 0.3060465\n", + "\n", + "$MSE_list[[59]][[17]]\n", + "[1] 0.1392898\n", + "\n", + "$MSE_list[[59]][[18]]\n", + "[1] 0.2477305\n", + "\n", + "$MSE_list[[59]][[19]]\n", + "[1] 0.2757807\n", + "\n", + "$MSE_list[[59]][[20]]\n", + "[1] 0.2861111\n", + "\n", + "$MSE_list[[59]][[21]]\n", + "[1] 0.2136496\n", + "\n", + "$MSE_list[[59]][[22]]\n", + "[1] 0.1728302\n", + "\n", + "$MSE_list[[59]][[23]]\n", + "[1] 0.2050933\n", + "\n", + "$MSE_list[[59]][[24]]\n", + "[1] 0.3810213\n", + "\n", + "$MSE_list[[59]][[25]]\n", + "[1] 0.2855743\n", + "\n", + "$MSE_list[[59]][[26]]\n", + "[1] 0.2364897\n", + "\n", + "$MSE_list[[59]][[27]]\n", + "[1] 0.3084005\n", + "\n", + "$MSE_list[[59]][[28]]\n", + "[1] 0.3538787\n", + "\n", + "$MSE_list[[59]][[29]]\n", + "[1] 0.2101419\n", + "\n", + "$MSE_list[[59]][[30]]\n", + "[1] 0.2496166\n", + "\n", + "$MSE_list[[59]][[31]]\n", + "[1] 0.1992136\n", + "\n", + "$MSE_list[[59]][[32]]\n", + "[1] 0.2549201\n", + "\n", + "$MSE_list[[59]][[33]]\n", + "[1] 0.3169354\n", + "\n", + "$MSE_list[[59]][[34]]\n", + "[1] 0.4014762\n", + "\n", + "$MSE_list[[59]][[35]]\n", + "[1] 0.219882\n", + "\n", + "$MSE_list[[59]][[36]]\n", + "[1] 0.2704378\n", + "\n", + "$MSE_list[[59]][[37]]\n", + "[1] 0.3174338\n", + "\n", + "$MSE_list[[59]][[38]]\n", + "[1] 0.3779953\n", + "\n", + "$MSE_list[[59]][[39]]\n", + "[1] 0.3471973\n", + "\n", + "$MSE_list[[59]][[40]]\n", + "[1] 0.3099865\n", + "\n", + "$MSE_list[[59]][[41]]\n", + "[1] 0.2418998\n", + "\n", + "$MSE_list[[59]][[42]]\n", + "[1] 0.2607519\n", + "\n", + "$MSE_list[[59]][[43]]\n", + "[1] 0.2186461\n", + "\n", + "$MSE_list[[59]][[44]]\n", + "[1] 0.2372872\n", + "\n", + "$MSE_list[[59]][[45]]\n", + "[1] 0.3187372\n", + "\n", + "$MSE_list[[59]][[46]]\n", + "[1] 0.2626072\n", + "\n", + "$MSE_list[[59]][[47]]\n", + "[1] 0.3952166\n", + "\n", + "$MSE_list[[59]][[48]]\n", + "[1] 0.3962108\n", + "\n", + "$MSE_list[[59]][[49]]\n", + "[1] 0.3603131\n", + "\n", + "$MSE_list[[59]][[50]]\n", + "[1] 0.373946\n", + "\n", + "$MSE_list[[59]][[51]]\n", + "[1] 0.2634844\n", + "\n", + "$MSE_list[[59]][[52]]\n", + "[1] 0.1539723\n", + "\n", + "$MSE_list[[59]][[53]]\n", + "[1] 0.2726319\n", + "\n", + "$MSE_list[[59]][[54]]\n", + "[1] 0.4293955\n", + "\n", + "$MSE_list[[59]][[55]]\n", + "[1] 0.1946685\n", + "\n", + "$MSE_list[[59]][[56]]\n", + "[1] 0.3646289\n", + "\n", + "$MSE_list[[59]][[57]]\n", + "[1] 0.2724716\n", + "\n", + "$MSE_list[[59]][[58]]\n", + "[1] 0.3039253\n", + "\n", + "$MSE_list[[59]][[59]]\n", + "[1] 0.2963961\n", + "\n", + "$MSE_list[[59]][[60]]\n", + "[1] 0.1530972\n", + "\n", + "$MSE_list[[59]][[61]]\n", + "[1] 0.1618049\n", + "\n", + "$MSE_list[[59]][[62]]\n", + "[1] 0.3407757\n", + "\n", + "$MSE_list[[59]][[63]]\n", + "[1] 0.3100909\n", + "\n", + "$MSE_list[[59]][[64]]\n", + "[1] 0.3234533\n", + "\n", + "$MSE_list[[59]][[65]]\n", + "[1] 0.235252\n", + "\n", + "$MSE_list[[59]][[66]]\n", + "[1] 0.3456104\n", + "\n", + "$MSE_list[[59]][[67]]\n", + "[1] 0.3326484\n", + "\n", + "$MSE_list[[59]][[68]]\n", + "[1] 0.3245499\n", + "\n", + "$MSE_list[[59]][[69]]\n", + "[1] 0.4245785\n", + "\n", + "$MSE_list[[59]][[70]]\n", + "[1] 0.2371397\n", + "\n", + "$MSE_list[[59]][[71]]\n", + "[1] 0.2062957\n", + "\n", + "$MSE_list[[59]][[72]]\n", + "[1] 0.1700143\n", + "\n", + "$MSE_list[[59]][[73]]\n", + "[1] 0.3713842\n", + "\n", + "$MSE_list[[59]][[74]]\n", + "[1] 0.1949239\n", + "\n", + "$MSE_list[[59]][[75]]\n", + "[1] 0.2785137\n", + "\n", + "$MSE_list[[59]][[76]]\n", + "[1] 0.3027808\n", + "\n", + "$MSE_list[[59]][[77]]\n", + "[1] 0.09975024\n", + "\n", + "$MSE_list[[59]][[78]]\n", + "[1] 0.2546676\n", + "\n", + "$MSE_list[[59]][[79]]\n", + "[1] 0.3650822\n", + "\n", + "$MSE_list[[59]][[80]]\n", + "[1] 0.29844\n", + "\n", + "$MSE_list[[59]][[81]]\n", + "[1] 0.1988231\n", + "\n", + "$MSE_list[[59]][[82]]\n", + "[1] 0.2326811\n", + "\n", + "$MSE_list[[59]][[83]]\n", + "[1] 0.2515374\n", + "\n", + "$MSE_list[[59]][[84]]\n", + "[1] 0.2619826\n", + "\n", + "$MSE_list[[59]][[85]]\n", + "[1] 0.3600053\n", + "\n", + "$MSE_list[[59]][[86]]\n", + "[1] 0.135962\n", + "\n", + "$MSE_list[[59]][[87]]\n", + "[1] 0.3941256\n", + "\n", + "$MSE_list[[59]][[88]]\n", + "[1] 0.2580268\n", + "\n", + "$MSE_list[[59]][[89]]\n", + "[1] 0.2038566\n", + "\n", + "$MSE_list[[59]][[90]]\n", + "[1] 0.1494412\n", + "\n", + "$MSE_list[[59]][[91]]\n", + "[1] 0.2044418\n", + "\n", + "$MSE_list[[59]][[92]]\n", + "[1] 0.1784092\n", + "\n", + "$MSE_list[[59]][[93]]\n", + "[1] 0.1811045\n", + "\n", + "$MSE_list[[59]][[94]]\n", + "[1] 0.1134685\n", + "\n", + "$MSE_list[[59]][[95]]\n", + "[1] 0.2086857\n", + "\n", + "$MSE_list[[59]][[96]]\n", + "[1] 0.3095227\n", + "\n", + "$MSE_list[[59]][[97]]\n", + "[1] 0.2967001\n", + "\n", + "$MSE_list[[59]][[98]]\n", + "[1] 0.1357513\n", + "\n", + "$MSE_list[[59]][[99]]\n", + "[1] 0.3312256\n", + "\n", + "$MSE_list[[59]][[100]]\n", + "[1] 0.1663657\n", + "\n", + "\n", + "$MSE_list[[60]]\n", + "$MSE_list[[60]][[1]]\n", + "[1] 0.21915\n", + "\n", + "$MSE_list[[60]][[2]]\n", + "[1] 0.1303752\n", + "\n", + "$MSE_list[[60]][[3]]\n", + "[1] 0.2382735\n", + "\n", + "$MSE_list[[60]][[4]]\n", + "[1] 0.3362987\n", + "\n", + "$MSE_list[[60]][[5]]\n", + "[1] 0.2972172\n", + "\n", + "$MSE_list[[60]][[6]]\n", + "[1] 0.4281203\n", + "\n", + "$MSE_list[[60]][[7]]\n", + "[1] 0.3314174\n", + "\n", + "$MSE_list[[60]][[8]]\n", + "[1] 0.1255439\n", + "\n", + "$MSE_list[[60]][[9]]\n", + "[1] 0.2323157\n", + "\n", + "$MSE_list[[60]][[10]]\n", + "[1] 0.3267327\n", + "\n", + "$MSE_list[[60]][[11]]\n", + "[1] 0.3192768\n", + "\n", + "$MSE_list[[60]][[12]]\n", + "[1] 0.1662763\n", + "\n", + "$MSE_list[[60]][[13]]\n", + "[1] 0.222265\n", + "\n", + "$MSE_list[[60]][[14]]\n", + "[1] 0.3603179\n", + "\n", + "$MSE_list[[60]][[15]]\n", + "[1] 0.2660028\n", + "\n", + "$MSE_list[[60]][[16]]\n", + "[1] 0.2210495\n", + "\n", + "$MSE_list[[60]][[17]]\n", + "[1] 0.2463876\n", + "\n", + "$MSE_list[[60]][[18]]\n", + "[1] 0.2929562\n", + "\n", + "$MSE_list[[60]][[19]]\n", + "[1] 0.2459258\n", + "\n", + "$MSE_list[[60]][[20]]\n", + "[1] 0.2044583\n", + "\n", + "$MSE_list[[60]][[21]]\n", + "[1] 0.2836474\n", + "\n", + "$MSE_list[[60]][[22]]\n", + "[1] 0.2408137\n", + "\n", + "$MSE_list[[60]][[23]]\n", + "[1] 0.2663718\n", + "\n", + "$MSE_list[[60]][[24]]\n", + "[1] 0.2685193\n", + "\n", + "$MSE_list[[60]][[25]]\n", + "[1] 0.3787736\n", + "\n", + "$MSE_list[[60]][[26]]\n", + "[1] 0.2504802\n", + "\n", + "$MSE_list[[60]][[27]]\n", + "[1] 0.141461\n", + "\n", + "$MSE_list[[60]][[28]]\n", + "[1] 0.1476976\n", + "\n", + "$MSE_list[[60]][[29]]\n", + "[1] 0.295134\n", + "\n", + "$MSE_list[[60]][[30]]\n", + "[1] 0.221712\n", + "\n", + "$MSE_list[[60]][[31]]\n", + "[1] 0.2197155\n", + "\n", + "$MSE_list[[60]][[32]]\n", + "[1] 0.1264733\n", + "\n", + "$MSE_list[[60]][[33]]\n", + "[1] 0.2785262\n", + "\n", + "$MSE_list[[60]][[34]]\n", + "[1] 0.2339361\n", + "\n", + "$MSE_list[[60]][[35]]\n", + "[1] 0.2141237\n", + "\n", + "$MSE_list[[60]][[36]]\n", + "[1] 0.2935214\n", + "\n", + "$MSE_list[[60]][[37]]\n", + "[1] 0.1942954\n", + "\n", + "$MSE_list[[60]][[38]]\n", + "[1] 0.120503\n", + "\n", + "$MSE_list[[60]][[39]]\n", + "[1] 0.176812\n", + "\n", + "$MSE_list[[60]][[40]]\n", + "[1] 0.3324029\n", + "\n", + "$MSE_list[[60]][[41]]\n", + "[1] 0.2064295\n", + "\n", + "$MSE_list[[60]][[42]]\n", + "[1] 0.2111165\n", + "\n", + "$MSE_list[[60]][[43]]\n", + "[1] 0.1203169\n", + "\n", + "$MSE_list[[60]][[44]]\n", + "[1] 0.1756785\n", + "\n", + "$MSE_list[[60]][[45]]\n", + "[1] 0.2604201\n", + "\n", + "$MSE_list[[60]][[46]]\n", + "[1] 0.3443283\n", + "\n", + "$MSE_list[[60]][[47]]\n", + "[1] 0.2553188\n", + "\n", + "$MSE_list[[60]][[48]]\n", + "[1] 0.1852202\n", + "\n", + "$MSE_list[[60]][[49]]\n", + "[1] 0.2464606\n", + "\n", + "$MSE_list[[60]][[50]]\n", + "[1] 0.1732019\n", + "\n", + "$MSE_list[[60]][[51]]\n", + "[1] 0.2334936\n", + "\n", + "$MSE_list[[60]][[52]]\n", + "[1] 0.1673485\n", + "\n", + "$MSE_list[[60]][[53]]\n", + "[1] 0.2839409\n", + "\n", + "$MSE_list[[60]][[54]]\n", + "[1] 0.2617885\n", + "\n", + "$MSE_list[[60]][[55]]\n", + "[1] 0.2959795\n", + "\n", + "$MSE_list[[60]][[56]]\n", + "[1] 0.1049378\n", + "\n", + "$MSE_list[[60]][[57]]\n", + "[1] 0.2079464\n", + "\n", + "$MSE_list[[60]][[58]]\n", + "[1] 0.3118357\n", + "\n", + "$MSE_list[[60]][[59]]\n", + "[1] 0.212463\n", + "\n", + "$MSE_list[[60]][[60]]\n", + "[1] 0.1799184\n", + "\n", + "$MSE_list[[60]][[61]]\n", + "[1] 0.2622224\n", + "\n", + "$MSE_list[[60]][[62]]\n", + "[1] 0.1862113\n", + "\n", + "$MSE_list[[60]][[63]]\n", + "[1] 0.2415591\n", + "\n", + "$MSE_list[[60]][[64]]\n", + "[1] 0.2433518\n", + "\n", + "$MSE_list[[60]][[65]]\n", + "[1] 0.1630424\n", + "\n", + "$MSE_list[[60]][[66]]\n", + "[1] 0.3388661\n", + "\n", + "$MSE_list[[60]][[67]]\n", + "[1] 0.1803339\n", + "\n", + "$MSE_list[[60]][[68]]\n", + "[1] 0.2504228\n", + "\n", + "$MSE_list[[60]][[69]]\n", + "[1] 0.1810553\n", + "\n", + "$MSE_list[[60]][[70]]\n", + "[1] 0.2290041\n", + "\n", + "$MSE_list[[60]][[71]]\n", + "[1] 0.226664\n", + "\n", + "$MSE_list[[60]][[72]]\n", + "[1] 0.2123211\n", + "\n", + "$MSE_list[[60]][[73]]\n", + "[1] 0.2369963\n", + "\n", + "$MSE_list[[60]][[74]]\n", + "[1] 0.2441809\n", + "\n", + "$MSE_list[[60]][[75]]\n", + "[1] 0.2963866\n", + "\n", + "$MSE_list[[60]][[76]]\n", + "[1] 0.4187664\n", + "\n", + "$MSE_list[[60]][[77]]\n", + "[1] 0.307652\n", + "\n", + "$MSE_list[[60]][[78]]\n", + "[1] 0.1744165\n", + "\n", + "$MSE_list[[60]][[79]]\n", + "[1] 0.2852847\n", + "\n", + "$MSE_list[[60]][[80]]\n", + "[1] 0.1525025\n", + "\n", + "$MSE_list[[60]][[81]]\n", + "[1] 0.3572304\n", + "\n", + "$MSE_list[[60]][[82]]\n", + "[1] 0.3058509\n", + "\n", + "$MSE_list[[60]][[83]]\n", + "[1] 0.307272\n", + "\n", + "$MSE_list[[60]][[84]]\n", + "[1] 0.2378736\n", + "\n", + "$MSE_list[[60]][[85]]\n", + "[1] 0.3410038\n", + "\n", + "$MSE_list[[60]][[86]]\n", + "[1] 0.2170737\n", + "\n", + "$MSE_list[[60]][[87]]\n", + "[1] 0.2387228\n", + "\n", + "$MSE_list[[60]][[88]]\n", + "[1] 0.1676046\n", + "\n", + "$MSE_list[[60]][[89]]\n", + "[1] 0.4564512\n", + "\n", + "$MSE_list[[60]][[90]]\n", + "[1] 0.1721613\n", + "\n", + "$MSE_list[[60]][[91]]\n", + "[1] 0.3013795\n", + "\n", + "$MSE_list[[60]][[92]]\n", + "[1] 0.2836813\n", + "\n", + "$MSE_list[[60]][[93]]\n", + "[1] 0.2610568\n", + "\n", + "$MSE_list[[60]][[94]]\n", + "[1] 0.1506585\n", + "\n", + "$MSE_list[[60]][[95]]\n", + "[1] 0.2090374\n", + "\n", + "$MSE_list[[60]][[96]]\n", + "[1] 0.1480406\n", + "\n", + "$MSE_list[[60]][[97]]\n", + "[1] 0.2681883\n", + "\n", + "$MSE_list[[60]][[98]]\n", + "[1] 0.1711166\n", + "\n", + "$MSE_list[[60]][[99]]\n", + "[1] 0.109262\n", + "\n", + "$MSE_list[[60]][[100]]\n", + "[1] 0.1068353\n", + "\n", + "\n", + "$MSE_list[[61]]\n", + "$MSE_list[[61]][[1]]\n", + "[1] 0.3421756\n", + "\n", + "$MSE_list[[61]][[2]]\n", + "[1] 0.3292663\n", + "\n", + "$MSE_list[[61]][[3]]\n", + "[1] 0.3719753\n", + "\n", + "$MSE_list[[61]][[4]]\n", + "[1] 0.3349185\n", + "\n", + "$MSE_list[[61]][[5]]\n", + "[1] 0.1448619\n", + "\n", + "$MSE_list[[61]][[6]]\n", + "[1] 0.3468344\n", + "\n", + "$MSE_list[[61]][[7]]\n", + "[1] 0.1662553\n", + "\n", + "$MSE_list[[61]][[8]]\n", + "[1] 0.2379747\n", + "\n", + "$MSE_list[[61]][[9]]\n", + "[1] 0.1388758\n", + "\n", + "$MSE_list[[61]][[10]]\n", + "[1] 0.3253819\n", + "\n", + "$MSE_list[[61]][[11]]\n", + "[1] 0.2611795\n", + "\n", + "$MSE_list[[61]][[12]]\n", + "[1] 0.2293124\n", + "\n", + "$MSE_list[[61]][[13]]\n", + "[1] 0.210567\n", + "\n", + "$MSE_list[[61]][[14]]\n", + "[1] 0.1306463\n", + "\n", + "$MSE_list[[61]][[15]]\n", + "[1] 0.1903589\n", + "\n", + "$MSE_list[[61]][[16]]\n", + "[1] 0.3004291\n", + "\n", + "$MSE_list[[61]][[17]]\n", + "[1] 0.364908\n", + "\n", + "$MSE_list[[61]][[18]]\n", + "[1] 0.1866352\n", + "\n", + "$MSE_list[[61]][[19]]\n", + "[1] 0.2804237\n", + "\n", + "$MSE_list[[61]][[20]]\n", + "[1] 0.3011612\n", + "\n", + "$MSE_list[[61]][[21]]\n", + "[1] 0.3042982\n", + "\n", + "$MSE_list[[61]][[22]]\n", + "[1] 0.2577495\n", + "\n", + "$MSE_list[[61]][[23]]\n", + "[1] 0.3313769\n", + "\n", + "$MSE_list[[61]][[24]]\n", + "[1] 0.1818899\n", + "\n", + "$MSE_list[[61]][[25]]\n", + "[1] 0.3047424\n", + "\n", + "$MSE_list[[61]][[26]]\n", + "[1] 0.2610917\n", + "\n", + "$MSE_list[[61]][[27]]\n", + "[1] 0.4125464\n", + "\n", + "$MSE_list[[61]][[28]]\n", + "[1] 0.2650178\n", + "\n", + "$MSE_list[[61]][[29]]\n", + "[1] 0.3206431\n", + "\n", + "$MSE_list[[61]][[30]]\n", + "[1] 0.3098425\n", + "\n", + "$MSE_list[[61]][[31]]\n", + "[1] 0.2362054\n", + "\n", + "$MSE_list[[61]][[32]]\n", + "[1] 0.2718375\n", + "\n", + "$MSE_list[[61]][[33]]\n", + "[1] 0.4000442\n", + "\n", + "$MSE_list[[61]][[34]]\n", + "[1] 0.2533953\n", + "\n", + "$MSE_list[[61]][[35]]\n", + "[1] 0.4438466\n", + "\n", + "$MSE_list[[61]][[36]]\n", + "[1] 0.09461296\n", + "\n", + "$MSE_list[[61]][[37]]\n", + "[1] 0.1575243\n", + "\n", + "$MSE_list[[61]][[38]]\n", + "[1] 0.2287047\n", + "\n", + "$MSE_list[[61]][[39]]\n", + "[1] 0.2097948\n", + "\n", + "$MSE_list[[61]][[40]]\n", + "[1] 0.2496926\n", + "\n", + "$MSE_list[[61]][[41]]\n", + "[1] 0.3166618\n", + "\n", + "$MSE_list[[61]][[42]]\n", + "[1] 0.2404395\n", + "\n", + "$MSE_list[[61]][[43]]\n", + "[1] 0.3465205\n", + "\n", + "$MSE_list[[61]][[44]]\n", + "[1] 0.3617206\n", + "\n", + "$MSE_list[[61]][[45]]\n", + "[1] 0.1749621\n", + "\n", + "$MSE_list[[61]][[46]]\n", + "[1] 0.3015885\n", + "\n", + "$MSE_list[[61]][[47]]\n", + "[1] 0.1620898\n", + "\n", + "$MSE_list[[61]][[48]]\n", + "[1] 0.2964564\n", + "\n", + "$MSE_list[[61]][[49]]\n", + "[1] 0.2357013\n", + "\n", + "$MSE_list[[61]][[50]]\n", + "[1] 0.2810214\n", + "\n", + "$MSE_list[[61]][[51]]\n", + "[1] 0.3033969\n", + "\n", + "$MSE_list[[61]][[52]]\n", + "[1] 0.191821\n", + "\n", + "$MSE_list[[61]][[53]]\n", + "[1] 0.2575\n", + "\n", + "$MSE_list[[61]][[54]]\n", + "[1] 0.1529745\n", + "\n", + "$MSE_list[[61]][[55]]\n", + "[1] 0.273947\n", + "\n", + "$MSE_list[[61]][[56]]\n", + "[1] 0.1748203\n", + "\n", + "$MSE_list[[61]][[57]]\n", + "[1] 0.361802\n", + "\n", + "$MSE_list[[61]][[58]]\n", + "[1] 0.2563867\n", + "\n", + "$MSE_list[[61]][[59]]\n", + "[1] 0.2311398\n", + "\n", + "$MSE_list[[61]][[60]]\n", + "[1] 0.1739964\n", + "\n", + "$MSE_list[[61]][[61]]\n", + "[1] 0.1996272\n", + "\n", + "$MSE_list[[61]][[62]]\n", + "[1] 0.3203563\n", + "\n", + "$MSE_list[[61]][[63]]\n", + "[1] 0.2365726\n", + "\n", + "$MSE_list[[61]][[64]]\n", + "[1] 0.1671374\n", + "\n", + "$MSE_list[[61]][[65]]\n", + "[1] 0.2855492\n", + "\n", + "$MSE_list[[61]][[66]]\n", + "[1] 0.2251\n", + "\n", + "$MSE_list[[61]][[67]]\n", + "[1] 0.09775588\n", + "\n", + "$MSE_list[[61]][[68]]\n", + "[1] 0.2122986\n", + "\n", + "$MSE_list[[61]][[69]]\n", + "[1] 0.4489695\n", + "\n", + "$MSE_list[[61]][[70]]\n", + "[1] 0.1719401\n", + "\n", + "$MSE_list[[61]][[71]]\n", + "[1] 0.2276621\n", + "\n", + "$MSE_list[[61]][[72]]\n", + "[1] 0.3314385\n", + "\n", + "$MSE_list[[61]][[73]]\n", + "[1] 0.2494237\n", + "\n", + "$MSE_list[[61]][[74]]\n", + "[1] 0.3316176\n", + "\n", + "$MSE_list[[61]][[75]]\n", + "[1] 0.2742385\n", + "\n", + "$MSE_list[[61]][[76]]\n", + "[1] 0.2930821\n", + "\n", + "$MSE_list[[61]][[77]]\n", + "[1] 0.3771795\n", + "\n", + "$MSE_list[[61]][[78]]\n", + "[1] 0.2190557\n", + "\n", + "$MSE_list[[61]][[79]]\n", + "[1] 0.2196465\n", + "\n", + "$MSE_list[[61]][[80]]\n", + "[1] 0.3146362\n", + "\n", + "$MSE_list[[61]][[81]]\n", + "[1] 0.3448989\n", + "\n", + "$MSE_list[[61]][[82]]\n", + "[1] 0.2194128\n", + "\n", + "$MSE_list[[61]][[83]]\n", + "[1] 0.1837403\n", + "\n", + "$MSE_list[[61]][[84]]\n", + "[1] 0.1993229\n", + "\n", + "$MSE_list[[61]][[85]]\n", + "[1] 0.1358057\n", + "\n", + "$MSE_list[[61]][[86]]\n", + "[1] 0.2930981\n", + "\n", + "$MSE_list[[61]][[87]]\n", + "[1] 0.3261034\n", + "\n", + "$MSE_list[[61]][[88]]\n", + "[1] 0.3211041\n", + "\n", + "$MSE_list[[61]][[89]]\n", + "[1] 0.3853324\n", + "\n", + "$MSE_list[[61]][[90]]\n", + "[1] 0.2518871\n", + "\n", + "$MSE_list[[61]][[91]]\n", + "[1] 0.3147542\n", + "\n", + "$MSE_list[[61]][[92]]\n", + "[1] 0.2282274\n", + "\n", + "$MSE_list[[61]][[93]]\n", + "[1] 0.2817341\n", + "\n", + "$MSE_list[[61]][[94]]\n", + "[1] 0.144768\n", + "\n", + "$MSE_list[[61]][[95]]\n", + "[1] 0.1612163\n", + "\n", + "$MSE_list[[61]][[96]]\n", + "[1] 0.1908563\n", + "\n", + "$MSE_list[[61]][[97]]\n", + "[1] 0.425232\n", + "\n", + "$MSE_list[[61]][[98]]\n", + "[1] 0.2112698\n", + "\n", + "$MSE_list[[61]][[99]]\n", + "[1] 0.4286573\n", + "\n", + "$MSE_list[[61]][[100]]\n", + "[1] 0.2838626\n", + "\n", + "\n", + "$MSE_list[[62]]\n", + "$MSE_list[[62]][[1]]\n", + "[1] 0.354808\n", + "\n", + "$MSE_list[[62]][[2]]\n", + "[1] 0.3053796\n", + "\n", + "$MSE_list[[62]][[3]]\n", + "[1] 0.291761\n", + "\n", + "$MSE_list[[62]][[4]]\n", + "[1] 0.1326023\n", + "\n", + "$MSE_list[[62]][[5]]\n", + "[1] 0.2919998\n", + "\n", + "$MSE_list[[62]][[6]]\n", + "[1] 0.1578054\n", + "\n", + "$MSE_list[[62]][[7]]\n", + "[1] 0.1377992\n", + "\n", + "$MSE_list[[62]][[8]]\n", + "[1] 0.4017643\n", + "\n", + "$MSE_list[[62]][[9]]\n", + "[1] 0.2618517\n", + "\n", + "$MSE_list[[62]][[10]]\n", + "[1] 0.3025147\n", + "\n", + "$MSE_list[[62]][[11]]\n", + "[1] 0.2602683\n", + "\n", + "$MSE_list[[62]][[12]]\n", + "[1] 0.2058252\n", + "\n", + "$MSE_list[[62]][[13]]\n", + "[1] 0.1625594\n", + "\n", + "$MSE_list[[62]][[14]]\n", + "[1] 0.4144033\n", + "\n", + "$MSE_list[[62]][[15]]\n", + "[1] 0.2934308\n", + "\n", + "$MSE_list[[62]][[16]]\n", + "[1] 0.2647514\n", + "\n", + "$MSE_list[[62]][[17]]\n", + "[1] 0.3051051\n", + "\n", + "$MSE_list[[62]][[18]]\n", + "[1] 0.2769095\n", + "\n", + "$MSE_list[[62]][[19]]\n", + "[1] 0.1708374\n", + "\n", + "$MSE_list[[62]][[20]]\n", + "[1] 0.1698185\n", + "\n", + "$MSE_list[[62]][[21]]\n", + "[1] 0.2063848\n", + "\n", + "$MSE_list[[62]][[22]]\n", + "[1] 0.3654583\n", + "\n", + "$MSE_list[[62]][[23]]\n", + "[1] 0.4060377\n", + "\n", + "$MSE_list[[62]][[24]]\n", + "[1] 0.1727456\n", + "\n", + "$MSE_list[[62]][[25]]\n", + "[1] 0.09230334\n", + "\n", + "$MSE_list[[62]][[26]]\n", + "[1] 0.2497121\n", + "\n", + "$MSE_list[[62]][[27]]\n", + "[1] 0.3590703\n", + "\n", + "$MSE_list[[62]][[28]]\n", + "[1] 0.1539919\n", + "\n", + "$MSE_list[[62]][[29]]\n", + "[1] 0.3287383\n", + "\n", + "$MSE_list[[62]][[30]]\n", + "[1] 0.3207335\n", + "\n", + "$MSE_list[[62]][[31]]\n", + "[1] 0.2106739\n", + "\n", + "$MSE_list[[62]][[32]]\n", + "[1] 0.4159271\n", + "\n", + "$MSE_list[[62]][[33]]\n", + "[1] 0.3508314\n", + "\n", + "$MSE_list[[62]][[34]]\n", + "[1] 0.3514534\n", + "\n", + "$MSE_list[[62]][[35]]\n", + "[1] 0.3768651\n", + "\n", + "$MSE_list[[62]][[36]]\n", + "[1] 0.1548189\n", + "\n", + "$MSE_list[[62]][[37]]\n", + "[1] 0.1471172\n", + "\n", + "$MSE_list[[62]][[38]]\n", + "[1] 0.249897\n", + "\n", + "$MSE_list[[62]][[39]]\n", + "[1] 0.1719884\n", + "\n", + "$MSE_list[[62]][[40]]\n", + "[1] 0.1950086\n", + "\n", + "$MSE_list[[62]][[41]]\n", + "[1] 0.1759247\n", + "\n", + "$MSE_list[[62]][[42]]\n", + "[1] 0.2940852\n", + "\n", + "$MSE_list[[62]][[43]]\n", + "[1] 0.4252664\n", + "\n", + "$MSE_list[[62]][[44]]\n", + "[1] 0.2754839\n", + "\n", + "$MSE_list[[62]][[45]]\n", + "[1] 0.2637304\n", + "\n", + "$MSE_list[[62]][[46]]\n", + "[1] 0.4191096\n", + "\n", + "$MSE_list[[62]][[47]]\n", + "[1] 0.1676627\n", + "\n", + "$MSE_list[[62]][[48]]\n", + "[1] 0.2924135\n", + "\n", + "$MSE_list[[62]][[49]]\n", + "[1] 0.170844\n", + "\n", + "$MSE_list[[62]][[50]]\n", + "[1] 0.3391526\n", + "\n", + "$MSE_list[[62]][[51]]\n", + "[1] 0.3141533\n", + "\n", + "$MSE_list[[62]][[52]]\n", + "[1] 0.3512509\n", + "\n", + "$MSE_list[[62]][[53]]\n", + "[1] 0.3116805\n", + "\n", + "$MSE_list[[62]][[54]]\n", + "[1] 0.171485\n", + "\n", + "$MSE_list[[62]][[55]]\n", + "[1] 0.3762279\n", + "\n", + "$MSE_list[[62]][[56]]\n", + "[1] 0.2452048\n", + "\n", + "$MSE_list[[62]][[57]]\n", + "[1] 0.337562\n", + "\n", + "$MSE_list[[62]][[58]]\n", + "[1] 0.2543223\n", + "\n", + "$MSE_list[[62]][[59]]\n", + "[1] 0.2877585\n", + "\n", + "$MSE_list[[62]][[60]]\n", + "[1] 0.2603165\n", + "\n", + "$MSE_list[[62]][[61]]\n", + "[1] 0.287578\n", + "\n", + "$MSE_list[[62]][[62]]\n", + "[1] 0.2539138\n", + "\n", + "$MSE_list[[62]][[63]]\n", + "[1] 0.2560623\n", + "\n", + "$MSE_list[[62]][[64]]\n", + "[1] 0.3259359\n", + "\n", + "$MSE_list[[62]][[65]]\n", + "[1] 0.1607565\n", + "\n", + "$MSE_list[[62]][[66]]\n", + "[1] 0.1269856\n", + "\n", + "$MSE_list[[62]][[67]]\n", + "[1] 0.2589053\n", + "\n", + "$MSE_list[[62]][[68]]\n", + "[1] 0.2706915\n", + "\n", + "$MSE_list[[62]][[69]]\n", + "[1] 0.4107594\n", + "\n", + "$MSE_list[[62]][[70]]\n", + "[1] 0.2468293\n", + "\n", + "$MSE_list[[62]][[71]]\n", + "[1] 0.2726852\n", + "\n", + "$MSE_list[[62]][[72]]\n", + "[1] 0.1657513\n", + "\n", + "$MSE_list[[62]][[73]]\n", + "[1] 0.3802002\n", + "\n", + "$MSE_list[[62]][[74]]\n", + "[1] 0.2615822\n", + "\n", + "$MSE_list[[62]][[75]]\n", + "[1] 0.3178924\n", + "\n", + "$MSE_list[[62]][[76]]\n", + "[1] 0.1990543\n", + "\n", + "$MSE_list[[62]][[77]]\n", + "[1] 0.4545565\n", + "\n", + "$MSE_list[[62]][[78]]\n", + "[1] 0.1828734\n", + "\n", + "$MSE_list[[62]][[79]]\n", + "[1] 0.3960094\n", + "\n", + "$MSE_list[[62]][[80]]\n", + "[1] 0.2985014\n", + "\n", + "$MSE_list[[62]][[81]]\n", + "[1] 0.1509628\n", + "\n", + "$MSE_list[[62]][[82]]\n", + "[1] 0.2499664\n", + "\n", + "$MSE_list[[62]][[83]]\n", + "[1] 0.3502677\n", + "\n", + "$MSE_list[[62]][[84]]\n", + "[1] 0.1336939\n", + "\n", + "$MSE_list[[62]][[85]]\n", + "[1] 0.2861441\n", + "\n", + "$MSE_list[[62]][[86]]\n", + "[1] 0.2766039\n", + "\n", + "$MSE_list[[62]][[87]]\n", + "[1] 0.2170106\n", + "\n", + "$MSE_list[[62]][[88]]\n", + "[1] 0.2064821\n", + "\n", + "$MSE_list[[62]][[89]]\n", + "[1] 0.3071647\n", + "\n", + "$MSE_list[[62]][[90]]\n", + "[1] 0.2483759\n", + "\n", + "$MSE_list[[62]][[91]]\n", + "[1] 0.4053705\n", + "\n", + "$MSE_list[[62]][[92]]\n", + "[1] 0.3897518\n", + "\n", + "$MSE_list[[62]][[93]]\n", + "[1] 0.3157557\n", + "\n", + "$MSE_list[[62]][[94]]\n", + "[1] 0.2635288\n", + "\n", + "$MSE_list[[62]][[95]]\n", + "[1] 0.358227\n", + "\n", + "$MSE_list[[62]][[96]]\n", + "[1] 0.163483\n", + "\n", + "$MSE_list[[62]][[97]]\n", + "[1] 0.2724053\n", + "\n", + "$MSE_list[[62]][[98]]\n", + "[1] 0.2125727\n", + "\n", + "$MSE_list[[62]][[99]]\n", + "[1] 0.2808983\n", + "\n", + "$MSE_list[[62]][[100]]\n", + "[1] 0.4603824\n", + "\n", + "\n", + "$MSE_list[[63]]\n", + "$MSE_list[[63]][[1]]\n", + "[1] 0.3584249\n", + "\n", + "$MSE_list[[63]][[2]]\n", + "[1] 0.3781334\n", + "\n", + "$MSE_list[[63]][[3]]\n", + "[1] 0.3996097\n", + "\n", + "$MSE_list[[63]][[4]]\n", + "[1] 0.2950729\n", + "\n", + "$MSE_list[[63]][[5]]\n", + "[1] 0.2517521\n", + "\n", + "$MSE_list[[63]][[6]]\n", + "[1] 0.3258751\n", + "\n", + "$MSE_list[[63]][[7]]\n", + "[1] 0.4115944\n", + "\n", + "$MSE_list[[63]][[8]]\n", + "[1] 0.3575623\n", + "\n", + "$MSE_list[[63]][[9]]\n", + "[1] 0.3904298\n", + "\n", + "$MSE_list[[63]][[10]]\n", + "[1] 0.228235\n", + "\n", + "$MSE_list[[63]][[11]]\n", + "[1] 0.2715631\n", + "\n", + "$MSE_list[[63]][[12]]\n", + "[1] 0.4185235\n", + "\n", + "$MSE_list[[63]][[13]]\n", + "[1] 0.3360316\n", + "\n", + "$MSE_list[[63]][[14]]\n", + "[1] 0.4295571\n", + "\n", + "$MSE_list[[63]][[15]]\n", + "[1] 0.2473046\n", + "\n", + "$MSE_list[[63]][[16]]\n", + "[1] 0.5733069\n", + "\n", + "$MSE_list[[63]][[17]]\n", + "[1] 0.3487608\n", + "\n", + "$MSE_list[[63]][[18]]\n", + "[1] 0.2083687\n", + "\n", + "$MSE_list[[63]][[19]]\n", + "[1] 0.2158549\n", + "\n", + "$MSE_list[[63]][[20]]\n", + "[1] 0.3969624\n", + "\n", + "$MSE_list[[63]][[21]]\n", + "[1] 0.2232076\n", + "\n", + "$MSE_list[[63]][[22]]\n", + "[1] 0.4637622\n", + "\n", + "$MSE_list[[63]][[23]]\n", + "[1] 0.2054785\n", + "\n", + "$MSE_list[[63]][[24]]\n", + "[1] 0.3406673\n", + "\n", + "$MSE_list[[63]][[25]]\n", + "[1] 0.2570448\n", + "\n", + "$MSE_list[[63]][[26]]\n", + "[1] 0.2137224\n", + "\n", + "$MSE_list[[63]][[27]]\n", + "[1] 0.3798548\n", + "\n", + "$MSE_list[[63]][[28]]\n", + "[1] 0.24881\n", + "\n", + "$MSE_list[[63]][[29]]\n", + "[1] 0.1026534\n", + "\n", + "$MSE_list[[63]][[30]]\n", + "[1] 0.392985\n", + "\n", + "$MSE_list[[63]][[31]]\n", + "[1] 0.251431\n", + "\n", + "$MSE_list[[63]][[32]]\n", + "[1] 0.445189\n", + "\n", + "$MSE_list[[63]][[33]]\n", + "[1] 0.3480558\n", + "\n", + "$MSE_list[[63]][[34]]\n", + "[1] 0.2671054\n", + "\n", + "$MSE_list[[63]][[35]]\n", + "[1] 0.294327\n", + "\n", + "$MSE_list[[63]][[36]]\n", + "[1] 0.258932\n", + "\n", + "$MSE_list[[63]][[37]]\n", + "[1] 0.2669487\n", + "\n", + "$MSE_list[[63]][[38]]\n", + "[1] 0.2908914\n", + "\n", + "$MSE_list[[63]][[39]]\n", + "[1] 0.2568922\n", + "\n", + "$MSE_list[[63]][[40]]\n", + "[1] 0.3453901\n", + "\n", + "$MSE_list[[63]][[41]]\n", + "[1] 0.1701355\n", + "\n", + "$MSE_list[[63]][[42]]\n", + "[1] 0.3119059\n", + "\n", + "$MSE_list[[63]][[43]]\n", + "[1] 0.4675382\n", + "\n", + "$MSE_list[[63]][[44]]\n", + "[1] 0.2931853\n", + "\n", + "$MSE_list[[63]][[45]]\n", + "[1] 0.5424946\n", + "\n", + "$MSE_list[[63]][[46]]\n", + "[1] 0.3148185\n", + "\n", + "$MSE_list[[63]][[47]]\n", + "[1] 0.3326578\n", + "\n", + "$MSE_list[[63]][[48]]\n", + "[1] 0.2754262\n", + "\n", + "$MSE_list[[63]][[49]]\n", + "[1] 0.2284282\n", + "\n", + "$MSE_list[[63]][[50]]\n", + "[1] 0.2247605\n", + "\n", + "$MSE_list[[63]][[51]]\n", + "[1] 0.3673475\n", + "\n", + "$MSE_list[[63]][[52]]\n", + "[1] 0.3184306\n", + "\n", + "$MSE_list[[63]][[53]]\n", + "[1] 0.4719502\n", + "\n", + "$MSE_list[[63]][[54]]\n", + "[1] 0.4498478\n", + "\n", + "$MSE_list[[63]][[55]]\n", + "[1] 0.1711953\n", + "\n", + "$MSE_list[[63]][[56]]\n", + "[1] 0.3271494\n", + "\n", + "$MSE_list[[63]][[57]]\n", + "[1] 0.2585544\n", + "\n", + "$MSE_list[[63]][[58]]\n", + "[1] 0.4058868\n", + "\n", + "$MSE_list[[63]][[59]]\n", + "[1] 0.2802086\n", + "\n", + "$MSE_list[[63]][[60]]\n", + "[1] 0.4368182\n", + "\n", + "$MSE_list[[63]][[61]]\n", + "[1] 0.2132969\n", + "\n", + "$MSE_list[[63]][[62]]\n", + "[1] 0.3634553\n", + "\n", + "$MSE_list[[63]][[63]]\n", + "[1] 0.2144366\n", + "\n", + "$MSE_list[[63]][[64]]\n", + "[1] 0.2480272\n", + "\n", + "$MSE_list[[63]][[65]]\n", + "[1] 0.2413825\n", + "\n", + "$MSE_list[[63]][[66]]\n", + "[1] 0.3451553\n", + "\n", + "$MSE_list[[63]][[67]]\n", + "[1] 0.3375946\n", + "\n", + "$MSE_list[[63]][[68]]\n", + "[1] 0.2173544\n", + "\n", + "$MSE_list[[63]][[69]]\n", + "[1] 0.3752569\n", + "\n", + "$MSE_list[[63]][[70]]\n", + "[1] 0.3818517\n", + "\n", + "$MSE_list[[63]][[71]]\n", + "[1] 0.3333783\n", + "\n", + "$MSE_list[[63]][[72]]\n", + "[1] 0.2783536\n", + "\n", + "$MSE_list[[63]][[73]]\n", + "[1] 0.2776294\n", + "\n", + "$MSE_list[[63]][[74]]\n", + "[1] 0.2312617\n", + "\n", + "$MSE_list[[63]][[75]]\n", + "[1] 0.1971431\n", + "\n", + "$MSE_list[[63]][[76]]\n", + "[1] 0.2217801\n", + "\n", + "$MSE_list[[63]][[77]]\n", + "[1] 0.3622752\n", + "\n", + "$MSE_list[[63]][[78]]\n", + "[1] 0.1958753\n", + "\n", + "$MSE_list[[63]][[79]]\n", + "[1] 0.2363214\n", + "\n", + "$MSE_list[[63]][[80]]\n", + "[1] 0.2645107\n", + "\n", + "$MSE_list[[63]][[81]]\n", + "[1] 0.3474921\n", + "\n", + "$MSE_list[[63]][[82]]\n", + "[1] 0.3378224\n", + "\n", + "$MSE_list[[63]][[83]]\n", + "[1] 0.2021234\n", + "\n", + "$MSE_list[[63]][[84]]\n", + "[1] 0.3329951\n", + "\n", + "$MSE_list[[63]][[85]]\n", + "[1] 0.3392361\n", + "\n", + "$MSE_list[[63]][[86]]\n", + "[1] 0.2896442\n", + "\n", + "$MSE_list[[63]][[87]]\n", + "[1] 0.2130863\n", + "\n", + "$MSE_list[[63]][[88]]\n", + "[1] 0.292697\n", + "\n", + "$MSE_list[[63]][[89]]\n", + "[1] 0.3417981\n", + "\n", + "$MSE_list[[63]][[90]]\n", + "[1] 0.208931\n", + "\n", + "$MSE_list[[63]][[91]]\n", + "[1] 0.1686112\n", + "\n", + "$MSE_list[[63]][[92]]\n", + "[1] 0.2898807\n", + "\n", + "$MSE_list[[63]][[93]]\n", + "[1] 0.3691913\n", + "\n", + "$MSE_list[[63]][[94]]\n", + "[1] 0.1971552\n", + "\n", + "$MSE_list[[63]][[95]]\n", + "[1] 0.3014662\n", + "\n", + "$MSE_list[[63]][[96]]\n", + "[1] 0.2461736\n", + "\n", + "$MSE_list[[63]][[97]]\n", + "[1] 0.4561527\n", + "\n", + "$MSE_list[[63]][[98]]\n", + "[1] 0.4064709\n", + "\n", + "$MSE_list[[63]][[99]]\n", + "[1] 0.1382931\n", + "\n", + "$MSE_list[[63]][[100]]\n", + "[1] 0.3300746\n", + "\n", + "\n", + "$MSE_list[[64]]\n", + "$MSE_list[[64]][[1]]\n", + "[1] 0.2685453\n", + "\n", + "$MSE_list[[64]][[2]]\n", + "[1] 0.252637\n", + "\n", + "$MSE_list[[64]][[3]]\n", + "[1] 0.2257521\n", + "\n", + "$MSE_list[[64]][[4]]\n", + "[1] 0.305355\n", + "\n", + "$MSE_list[[64]][[5]]\n", + "[1] 0.1701189\n", + "\n", + "$MSE_list[[64]][[6]]\n", + "[1] 0.311495\n", + "\n", + "$MSE_list[[64]][[7]]\n", + "[1] 0.3807328\n", + "\n", + "$MSE_list[[64]][[8]]\n", + "[1] 0.5136934\n", + "\n", + "$MSE_list[[64]][[9]]\n", + "[1] 0.2290807\n", + "\n", + "$MSE_list[[64]][[10]]\n", + "[1] 0.45522\n", + "\n", + "$MSE_list[[64]][[11]]\n", + "[1] 0.4147604\n", + "\n", + "$MSE_list[[64]][[12]]\n", + "[1] 0.4704084\n", + "\n", + "$MSE_list[[64]][[13]]\n", + "[1] 0.3182027\n", + "\n", + "$MSE_list[[64]][[14]]\n", + "[1] 0.2863175\n", + "\n", + "$MSE_list[[64]][[15]]\n", + "[1] 0.3113841\n", + "\n", + "$MSE_list[[64]][[16]]\n", + "[1] 0.3609275\n", + "\n", + "$MSE_list[[64]][[17]]\n", + "[1] 0.194103\n", + "\n", + "$MSE_list[[64]][[18]]\n", + "[1] 0.3145832\n", + "\n", + "$MSE_list[[64]][[19]]\n", + "[1] 0.2578481\n", + "\n", + "$MSE_list[[64]][[20]]\n", + "[1] 0.2382999\n", + "\n", + "$MSE_list[[64]][[21]]\n", + "[1] 0.2878236\n", + "\n", + "$MSE_list[[64]][[22]]\n", + "[1] 0.2215111\n", + "\n", + "$MSE_list[[64]][[23]]\n", + "[1] 0.2926305\n", + "\n", + "$MSE_list[[64]][[24]]\n", + "[1] 0.3760687\n", + "\n", + "$MSE_list[[64]][[25]]\n", + "[1] 0.3683554\n", + "\n", + "$MSE_list[[64]][[26]]\n", + "[1] 0.3075831\n", + "\n", + "$MSE_list[[64]][[27]]\n", + "[1] 0.332335\n", + "\n", + "$MSE_list[[64]][[28]]\n", + "[1] 0.2649091\n", + "\n", + "$MSE_list[[64]][[29]]\n", + "[1] 0.304705\n", + "\n", + "$MSE_list[[64]][[30]]\n", + "[1] 0.2984572\n", + "\n", + "$MSE_list[[64]][[31]]\n", + "[1] 0.2281093\n", + "\n", + "$MSE_list[[64]][[32]]\n", + "[1] 0.2090192\n", + "\n", + "$MSE_list[[64]][[33]]\n", + "[1] 0.1810287\n", + "\n", + "$MSE_list[[64]][[34]]\n", + "[1] 0.1934605\n", + "\n", + "$MSE_list[[64]][[35]]\n", + "[1] 0.3035906\n", + "\n", + "$MSE_list[[64]][[36]]\n", + "[1] 0.2972885\n", + "\n", + "$MSE_list[[64]][[37]]\n", + "[1] 0.2261227\n", + "\n", + "$MSE_list[[64]][[38]]\n", + "[1] 0.1808975\n", + "\n", + "$MSE_list[[64]][[39]]\n", + "[1] 0.2849797\n", + "\n", + "$MSE_list[[64]][[40]]\n", + "[1] 0.2119039\n", + "\n", + "$MSE_list[[64]][[41]]\n", + "[1] 0.2918529\n", + "\n", + "$MSE_list[[64]][[42]]\n", + "[1] 0.2869726\n", + "\n", + "$MSE_list[[64]][[43]]\n", + "[1] 0.2245256\n", + "\n", + "$MSE_list[[64]][[44]]\n", + "[1] 0.2970617\n", + "\n", + "$MSE_list[[64]][[45]]\n", + "[1] 0.4107947\n", + "\n", + "$MSE_list[[64]][[46]]\n", + "[1] 0.4578063\n", + "\n", + "$MSE_list[[64]][[47]]\n", + "[1] 0.3886266\n", + "\n", + "$MSE_list[[64]][[48]]\n", + "[1] 0.3863024\n", + "\n", + "$MSE_list[[64]][[49]]\n", + "[1] 0.2559146\n", + "\n", + "$MSE_list[[64]][[50]]\n", + "[1] 0.2243864\n", + "\n", + "$MSE_list[[64]][[51]]\n", + "[1] 0.2399005\n", + "\n", + "$MSE_list[[64]][[52]]\n", + "[1] 0.3650688\n", + "\n", + "$MSE_list[[64]][[53]]\n", + "[1] 0.2599241\n", + "\n", + "$MSE_list[[64]][[54]]\n", + "[1] 0.2624919\n", + "\n", + "$MSE_list[[64]][[55]]\n", + "[1] 0.3276288\n", + "\n", + "$MSE_list[[64]][[56]]\n", + "[1] 0.1393345\n", + "\n", + "$MSE_list[[64]][[57]]\n", + "[1] 0.40259\n", + "\n", + "$MSE_list[[64]][[58]]\n", + "[1] 0.1609775\n", + "\n", + "$MSE_list[[64]][[59]]\n", + "[1] 0.2595719\n", + "\n", + "$MSE_list[[64]][[60]]\n", + "[1] 0.2652742\n", + "\n", + "$MSE_list[[64]][[61]]\n", + "[1] 0.4751235\n", + "\n", + "$MSE_list[[64]][[62]]\n", + "[1] 0.2812573\n", + "\n", + "$MSE_list[[64]][[63]]\n", + "[1] 0.3280035\n", + "\n", + "$MSE_list[[64]][[64]]\n", + "[1] 0.2428648\n", + "\n", + "$MSE_list[[64]][[65]]\n", + "[1] 0.4077781\n", + "\n", + "$MSE_list[[64]][[66]]\n", + "[1] 0.4270613\n", + "\n", + "$MSE_list[[64]][[67]]\n", + "[1] 0.2636036\n", + "\n", + "$MSE_list[[64]][[68]]\n", + "[1] 0.5235873\n", + "\n", + "$MSE_list[[64]][[69]]\n", + "[1] 0.162392\n", + "\n", + "$MSE_list[[64]][[70]]\n", + "[1] 0.4355165\n", + "\n", + "$MSE_list[[64]][[71]]\n", + "[1] 0.2084233\n", + "\n", + "$MSE_list[[64]][[72]]\n", + "[1] 0.244165\n", + "\n", + "$MSE_list[[64]][[73]]\n", + "[1] 0.2908787\n", + "\n", + "$MSE_list[[64]][[74]]\n", + "[1] 0.2870879\n", + "\n", + "$MSE_list[[64]][[75]]\n", + "[1] 0.4287903\n", + "\n", + "$MSE_list[[64]][[76]]\n", + "[1] 0.1616038\n", + "\n", + "$MSE_list[[64]][[77]]\n", + "[1] 0.2454101\n", + "\n", + "$MSE_list[[64]][[78]]\n", + "[1] 0.2484149\n", + "\n", + "$MSE_list[[64]][[79]]\n", + "[1] 0.3281811\n", + "\n", + "$MSE_list[[64]][[80]]\n", + "[1] 0.285475\n", + "\n", + "$MSE_list[[64]][[81]]\n", + "[1] 0.2761346\n", + "\n", + "$MSE_list[[64]][[82]]\n", + "[1] 0.2455699\n", + "\n", + "$MSE_list[[64]][[83]]\n", + "[1] 0.3636059\n", + "\n", + "$MSE_list[[64]][[84]]\n", + "[1] 0.2914263\n", + "\n", + "$MSE_list[[64]][[85]]\n", + "[1] 0.3973963\n", + "\n", + "$MSE_list[[64]][[86]]\n", + "[1] 0.2928356\n", + "\n", + "$MSE_list[[64]][[87]]\n", + "[1] 0.1553338\n", + "\n", + "$MSE_list[[64]][[88]]\n", + "[1] 0.08977045\n", + "\n", + "$MSE_list[[64]][[89]]\n", + "[1] 0.2772841\n", + "\n", + "$MSE_list[[64]][[90]]\n", + "[1] 0.2005659\n", + "\n", + "$MSE_list[[64]][[91]]\n", + "[1] 0.2288996\n", + "\n", + "$MSE_list[[64]][[92]]\n", + "[1] 0.1726542\n", + "\n", + "$MSE_list[[64]][[93]]\n", + "[1] 0.3408717\n", + "\n", + "$MSE_list[[64]][[94]]\n", + "[1] 0.2357977\n", + "\n", + "$MSE_list[[64]][[95]]\n", + "[1] 0.1889394\n", + "\n", + "$MSE_list[[64]][[96]]\n", + "[1] 0.2564538\n", + "\n", + "$MSE_list[[64]][[97]]\n", + "[1] 0.1858813\n", + "\n", + "$MSE_list[[64]][[98]]\n", + "[1] 0.400061\n", + "\n", + "$MSE_list[[64]][[99]]\n", + "[1] 0.2304369\n", + "\n", + "$MSE_list[[64]][[100]]\n", + "[1] 0.1624641\n", + "\n", + "\n", + "$MSE_list[[65]]\n", + "$MSE_list[[65]][[1]]\n", + "[1] 0.2941268\n", + "\n", + "$MSE_list[[65]][[2]]\n", + "[1] 0.02810023\n", + "\n", + "$MSE_list[[65]][[3]]\n", + "[1] 0.1432206\n", + "\n", + "$MSE_list[[65]][[4]]\n", + "[1] 0.1394359\n", + "\n", + "$MSE_list[[65]][[5]]\n", + "[1] 0.1623886\n", + "\n", + "$MSE_list[[65]][[6]]\n", + "[1] 0.2687838\n", + "\n", + "$MSE_list[[65]][[7]]\n", + "[1] 0.3049915\n", + "\n", + "$MSE_list[[65]][[8]]\n", + "[1] 0.3160831\n", + "\n", + "$MSE_list[[65]][[9]]\n", + "[1] 0.2550917\n", + "\n", + "$MSE_list[[65]][[10]]\n", + "[1] 0.2178027\n", + "\n", + "$MSE_list[[65]][[11]]\n", + "[1] 0.2338904\n", + "\n", + "$MSE_list[[65]][[12]]\n", + "[1] 0.3209335\n", + "\n", + "$MSE_list[[65]][[13]]\n", + "[1] 0.2407385\n", + "\n", + "$MSE_list[[65]][[14]]\n", + "[1] 0.3053946\n", + "\n", + "$MSE_list[[65]][[15]]\n", + "[1] 0.2529668\n", + "\n", + "$MSE_list[[65]][[16]]\n", + "[1] 0.2784227\n", + "\n", + "$MSE_list[[65]][[17]]\n", + "[1] 0.1568778\n", + "\n", + "$MSE_list[[65]][[18]]\n", + "[1] 0.2464115\n", + "\n", + "$MSE_list[[65]][[19]]\n", + "[1] 0.308634\n", + "\n", + "$MSE_list[[65]][[20]]\n", + "[1] 0.1663032\n", + "\n", + "$MSE_list[[65]][[21]]\n", + "[1] 0.3022537\n", + "\n", + "$MSE_list[[65]][[22]]\n", + "[1] 0.3109065\n", + "\n", + "$MSE_list[[65]][[23]]\n", + "[1] 0.2383992\n", + "\n", + "$MSE_list[[65]][[24]]\n", + "[1] 0.20483\n", + "\n", + "$MSE_list[[65]][[25]]\n", + "[1] 0.2980953\n", + "\n", + "$MSE_list[[65]][[26]]\n", + "[1] 0.2853187\n", + "\n", + "$MSE_list[[65]][[27]]\n", + "[1] 0.2345907\n", + "\n", + "$MSE_list[[65]][[28]]\n", + "[1] 0.3778409\n", + "\n", + "$MSE_list[[65]][[29]]\n", + "[1] 0.3937401\n", + "\n", + "$MSE_list[[65]][[30]]\n", + "[1] 0.1260847\n", + "\n", + "$MSE_list[[65]][[31]]\n", + "[1] 0.2788703\n", + "\n", + "$MSE_list[[65]][[32]]\n", + "[1] 0.2829181\n", + "\n", + "$MSE_list[[65]][[33]]\n", + "[1] 0.2546218\n", + "\n", + "$MSE_list[[65]][[34]]\n", + "[1] 0.3593861\n", + "\n", + "$MSE_list[[65]][[35]]\n", + "[1] 0.1740406\n", + "\n", + "$MSE_list[[65]][[36]]\n", + "[1] 0.4009544\n", + "\n", + "$MSE_list[[65]][[37]]\n", + "[1] 0.3294036\n", + "\n", + "$MSE_list[[65]][[38]]\n", + "[1] 0.2088688\n", + "\n", + "$MSE_list[[65]][[39]]\n", + "[1] 0.3245106\n", + "\n", + "$MSE_list[[65]][[40]]\n", + "[1] 0.2341535\n", + "\n", + "$MSE_list[[65]][[41]]\n", + "[1] 0.2037013\n", + "\n", + "$MSE_list[[65]][[42]]\n", + "[1] 0.3217214\n", + "\n", + "$MSE_list[[65]][[43]]\n", + "[1] 0.1478263\n", + "\n", + "$MSE_list[[65]][[44]]\n", + "[1] 0.2291077\n", + "\n", + "$MSE_list[[65]][[45]]\n", + "[1] 0.2927499\n", + "\n", + "$MSE_list[[65]][[46]]\n", + "[1] 0.2824665\n", + "\n", + "$MSE_list[[65]][[47]]\n", + "[1] 0.1678224\n", + "\n", + "$MSE_list[[65]][[48]]\n", + "[1] 0.3886779\n", + "\n", + "$MSE_list[[65]][[49]]\n", + "[1] 0.2199722\n", + "\n", + "$MSE_list[[65]][[50]]\n", + "[1] 0.1062838\n", + "\n", + "$MSE_list[[65]][[51]]\n", + "[1] 0.2805463\n", + "\n", + "$MSE_list[[65]][[52]]\n", + "[1] 0.1080379\n", + "\n", + "$MSE_list[[65]][[53]]\n", + "[1] 0.3238831\n", + "\n", + "$MSE_list[[65]][[54]]\n", + "[1] 0.2301852\n", + "\n", + "$MSE_list[[65]][[55]]\n", + "[1] 0.1130247\n", + "\n", + "$MSE_list[[65]][[56]]\n", + "[1] 0.2174624\n", + "\n", + "$MSE_list[[65]][[57]]\n", + "[1] 0.2492974\n", + "\n", + "$MSE_list[[65]][[58]]\n", + "[1] 0.06726036\n", + "\n", + "$MSE_list[[65]][[59]]\n", + "[1] 0.3487533\n", + "\n", + "$MSE_list[[65]][[60]]\n", + "[1] 0.4264421\n", + "\n", + "$MSE_list[[65]][[61]]\n", + "[1] 0.1845448\n", + "\n", + "$MSE_list[[65]][[62]]\n", + "[1] 0.3837592\n", + "\n", + "$MSE_list[[65]][[63]]\n", + "[1] 0.1399037\n", + "\n", + "$MSE_list[[65]][[64]]\n", + "[1] 0.2012241\n", + "\n", + "$MSE_list[[65]][[65]]\n", + "[1] 0.3154167\n", + "\n", + "$MSE_list[[65]][[66]]\n", + "[1] 0.2938538\n", + "\n", + "$MSE_list[[65]][[67]]\n", + "[1] 0.3499426\n", + "\n", + "$MSE_list[[65]][[68]]\n", + "[1] 0.3853399\n", + "\n", + "$MSE_list[[65]][[69]]\n", + "[1] 0.2276095\n", + "\n", + "$MSE_list[[65]][[70]]\n", + "[1] 0.1581855\n", + "\n", + "$MSE_list[[65]][[71]]\n", + "[1] 0.2148138\n", + "\n", + "$MSE_list[[65]][[72]]\n", + "[1] 0.1625385\n", + "\n", + "$MSE_list[[65]][[73]]\n", + "[1] 0.1657492\n", + "\n", + "$MSE_list[[65]][[74]]\n", + "[1] 0.1035147\n", + "\n", + "$MSE_list[[65]][[75]]\n", + "[1] 0.2376667\n", + "\n", + "$MSE_list[[65]][[76]]\n", + "[1] 0.3030808\n", + "\n", + "$MSE_list[[65]][[77]]\n", + "[1] 0.1193167\n", + "\n", + "$MSE_list[[65]][[78]]\n", + "[1] 0.283249\n", + "\n", + "$MSE_list[[65]][[79]]\n", + "[1] 0.1893727\n", + "\n", + "$MSE_list[[65]][[80]]\n", + "[1] 0.1920143\n", + "\n", + "$MSE_list[[65]][[81]]\n", + "[1] 0.3097636\n", + "\n", + "$MSE_list[[65]][[82]]\n", + "[1] 0.2896485\n", + "\n", + "$MSE_list[[65]][[83]]\n", + "[1] 0.201163\n", + "\n", + "$MSE_list[[65]][[84]]\n", + "[1] 0.1395526\n", + "\n", + "$MSE_list[[65]][[85]]\n", + "[1] 0.2315512\n", + "\n", + "$MSE_list[[65]][[86]]\n", + "[1] 0.421434\n", + "\n", + "$MSE_list[[65]][[87]]\n", + "[1] 0.1347168\n", + "\n", + "$MSE_list[[65]][[88]]\n", + "[1] 0.2191433\n", + "\n", + "$MSE_list[[65]][[89]]\n", + "[1] 0.1731526\n", + "\n", + "$MSE_list[[65]][[90]]\n", + "[1] 0.15554\n", + "\n", + "$MSE_list[[65]][[91]]\n", + "[1] 0.1676693\n", + "\n", + "$MSE_list[[65]][[92]]\n", + "[1] 0.1619471\n", + "\n", + "$MSE_list[[65]][[93]]\n", + "[1] 0.2164369\n", + "\n", + "$MSE_list[[65]][[94]]\n", + "[1] 0.1616727\n", + "\n", + "$MSE_list[[65]][[95]]\n", + "[1] 0.2531538\n", + "\n", + "$MSE_list[[65]][[96]]\n", + "[1] 0.3025501\n", + "\n", + "$MSE_list[[65]][[97]]\n", + "[1] 0.1564201\n", + "\n", + "$MSE_list[[65]][[98]]\n", + "[1] 0.2407661\n", + "\n", + "$MSE_list[[65]][[99]]\n", + "[1] 0.2940468\n", + "\n", + "$MSE_list[[65]][[100]]\n", + "[1] 0.1996626\n", + "\n", + "\n", + "$MSE_list[[66]]\n", + "$MSE_list[[66]][[1]]\n", + "[1] 0.3236838\n", + "\n", + "$MSE_list[[66]][[2]]\n", + "[1] 0.2850805\n", + "\n", + "$MSE_list[[66]][[3]]\n", + "[1] 0.263259\n", + "\n", + "$MSE_list[[66]][[4]]\n", + "[1] 0.2330884\n", + "\n", + "$MSE_list[[66]][[5]]\n", + "[1] 0.2401118\n", + "\n", + "$MSE_list[[66]][[6]]\n", + "[1] 0.2210573\n", + "\n", + "$MSE_list[[66]][[7]]\n", + "[1] 0.3037797\n", + "\n", + "$MSE_list[[66]][[8]]\n", + "[1] 0.2543784\n", + "\n", + "$MSE_list[[66]][[9]]\n", + "[1] 0.2515191\n", + "\n", + "$MSE_list[[66]][[10]]\n", + "[1] 0.1790508\n", + "\n", + "$MSE_list[[66]][[11]]\n", + "[1] 0.2162589\n", + "\n", + "$MSE_list[[66]][[12]]\n", + "[1] 0.2331009\n", + "\n", + "$MSE_list[[66]][[13]]\n", + "[1] 0.2224684\n", + "\n", + "$MSE_list[[66]][[14]]\n", + "[1] 0.2363615\n", + "\n", + "$MSE_list[[66]][[15]]\n", + "[1] 0.2713505\n", + "\n", + "$MSE_list[[66]][[16]]\n", + "[1] 0.3174793\n", + "\n", + "$MSE_list[[66]][[17]]\n", + "[1] 0.1730224\n", + "\n", + "$MSE_list[[66]][[18]]\n", + "[1] 0.1329925\n", + "\n", + "$MSE_list[[66]][[19]]\n", + "[1] 0.2646342\n", + "\n", + "$MSE_list[[66]][[20]]\n", + "[1] 0.1926873\n", + "\n", + "$MSE_list[[66]][[21]]\n", + "[1] 0.3001937\n", + "\n", + "$MSE_list[[66]][[22]]\n", + "[1] 0.2637257\n", + "\n", + "$MSE_list[[66]][[23]]\n", + "[1] 0.3076118\n", + "\n", + "$MSE_list[[66]][[24]]\n", + "[1] 0.3102022\n", + "\n", + "$MSE_list[[66]][[25]]\n", + "[1] 0.2644973\n", + "\n", + "$MSE_list[[66]][[26]]\n", + "[1] 0.3895373\n", + "\n", + "$MSE_list[[66]][[27]]\n", + "[1] 0.2204373\n", + "\n", + "$MSE_list[[66]][[28]]\n", + "[1] 0.4143541\n", + "\n", + "$MSE_list[[66]][[29]]\n", + "[1] 0.1971301\n", + "\n", + "$MSE_list[[66]][[30]]\n", + "[1] 0.2397373\n", + "\n", + "$MSE_list[[66]][[31]]\n", + "[1] 0.2614259\n", + "\n", + "$MSE_list[[66]][[32]]\n", + "[1] 0.2519763\n", + "\n", + "$MSE_list[[66]][[33]]\n", + "[1] 0.2863026\n", + "\n", + "$MSE_list[[66]][[34]]\n", + "[1] 0.2115276\n", + "\n", + "$MSE_list[[66]][[35]]\n", + "[1] 0.3802785\n", + "\n", + "$MSE_list[[66]][[36]]\n", + "[1] 0.2491908\n", + "\n", + "$MSE_list[[66]][[37]]\n", + "[1] 0.1864551\n", + "\n", + "$MSE_list[[66]][[38]]\n", + "[1] 0.1160588\n", + "\n", + "$MSE_list[[66]][[39]]\n", + "[1] 0.3769727\n", + "\n", + "$MSE_list[[66]][[40]]\n", + "[1] 0.3477743\n", + "\n", + "$MSE_list[[66]][[41]]\n", + "[1] 0.3881535\n", + "\n", + "$MSE_list[[66]][[42]]\n", + "[1] 0.06463624\n", + "\n", + "$MSE_list[[66]][[43]]\n", + "[1] 0.2835863\n", + "\n", + "$MSE_list[[66]][[44]]\n", + "[1] 0.1525791\n", + "\n", + "$MSE_list[[66]][[45]]\n", + "[1] 0.3571686\n", + "\n", + "$MSE_list[[66]][[46]]\n", + "[1] 0.1395549\n", + "\n", + "$MSE_list[[66]][[47]]\n", + "[1] 0.3803894\n", + "\n", + "$MSE_list[[66]][[48]]\n", + "[1] 0.1970747\n", + "\n", + "$MSE_list[[66]][[49]]\n", + "[1] 0.2898237\n", + "\n", + "$MSE_list[[66]][[50]]\n", + "[1] 0.2188974\n", + "\n", + "$MSE_list[[66]][[51]]\n", + "[1] 0.3305051\n", + "\n", + "$MSE_list[[66]][[52]]\n", + "[1] 0.1230426\n", + "\n", + "$MSE_list[[66]][[53]]\n", + "[1] 0.1308535\n", + "\n", + "$MSE_list[[66]][[54]]\n", + "[1] 0.3167774\n", + "\n", + "$MSE_list[[66]][[55]]\n", + "[1] 0.2989271\n", + "\n", + "$MSE_list[[66]][[56]]\n", + "[1] 0.4570298\n", + "\n", + "$MSE_list[[66]][[57]]\n", + "[1] 0.1207771\n", + "\n", + "$MSE_list[[66]][[58]]\n", + "[1] 0.291292\n", + "\n", + "$MSE_list[[66]][[59]]\n", + "[1] 0.3866302\n", + "\n", + "$MSE_list[[66]][[60]]\n", + "[1] 0.296978\n", + "\n", + "$MSE_list[[66]][[61]]\n", + "[1] 0.1000753\n", + "\n", + "$MSE_list[[66]][[62]]\n", + "[1] 0.2377142\n", + "\n", + "$MSE_list[[66]][[63]]\n", + "[1] 0.3295537\n", + "\n", + "$MSE_list[[66]][[64]]\n", + "[1] 0.2476858\n", + "\n", + "$MSE_list[[66]][[65]]\n", + "[1] 0.1870816\n", + "\n", + "$MSE_list[[66]][[66]]\n", + "[1] 0.2139681\n", + "\n", + "$MSE_list[[66]][[67]]\n", + "[1] 0.1592139\n", + "\n", + "$MSE_list[[66]][[68]]\n", + "[1] 0.188653\n", + "\n", + "$MSE_list[[66]][[69]]\n", + "[1] 0.2535139\n", + "\n", + "$MSE_list[[66]][[70]]\n", + "[1] 0.2613611\n", + "\n", + "$MSE_list[[66]][[71]]\n", + "[1] 0.2008939\n", + "\n", + "$MSE_list[[66]][[72]]\n", + "[1] 0.1162236\n", + "\n", + "$MSE_list[[66]][[73]]\n", + "[1] 0.1335232\n", + "\n", + "$MSE_list[[66]][[74]]\n", + "[1] 0.1143989\n", + "\n", + "$MSE_list[[66]][[75]]\n", + "[1] 0.2567333\n", + "\n", + "$MSE_list[[66]][[76]]\n", + "[1] 0.3473153\n", + "\n", + "$MSE_list[[66]][[77]]\n", + "[1] 0.1081111\n", + "\n", + "$MSE_list[[66]][[78]]\n", + "[1] 0.232854\n", + "\n", + "$MSE_list[[66]][[79]]\n", + "[1] 0.2293427\n", + "\n", + "$MSE_list[[66]][[80]]\n", + "[1] 0.2190562\n", + "\n", + "$MSE_list[[66]][[81]]\n", + "[1] 0.1646917\n", + "\n", + "$MSE_list[[66]][[82]]\n", + "[1] 0.2967613\n", + "\n", + "$MSE_list[[66]][[83]]\n", + "[1] 0.1627196\n", + "\n", + "$MSE_list[[66]][[84]]\n", + "[1] 0.3453149\n", + "\n", + "$MSE_list[[66]][[85]]\n", + "[1] 0.1989566\n", + "\n", + "$MSE_list[[66]][[86]]\n", + "[1] 0.330572\n", + "\n", + "$MSE_list[[66]][[87]]\n", + "[1] 0.2838991\n", + "\n", + "$MSE_list[[66]][[88]]\n", + "[1] 0.1817331\n", + "\n", + "$MSE_list[[66]][[89]]\n", + "[1] 0.3983964\n", + "\n", + "$MSE_list[[66]][[90]]\n", + "[1] 0.1696847\n", + "\n", + "$MSE_list[[66]][[91]]\n", + "[1] 0.09376187\n", + "\n", + "$MSE_list[[66]][[92]]\n", + "[1] 0.2907327\n", + "\n", + "$MSE_list[[66]][[93]]\n", + "[1] 0.2001091\n", + "\n", + "$MSE_list[[66]][[94]]\n", + "[1] 0.161222\n", + "\n", + "$MSE_list[[66]][[95]]\n", + "[1] 0.3131606\n", + "\n", + "$MSE_list[[66]][[96]]\n", + "[1] 0.4411696\n", + "\n", + "$MSE_list[[66]][[97]]\n", + "[1] 0.2545094\n", + "\n", + "$MSE_list[[66]][[98]]\n", + "[1] 0.2133373\n", + "\n", + "$MSE_list[[66]][[99]]\n", + "[1] 0.06120016\n", + "\n", + "$MSE_list[[66]][[100]]\n", + "[1] 0.2394084\n", + "\n", + "\n", + "$MSE_list[[67]]\n", + "$MSE_list[[67]][[1]]\n", + "[1] 0.1453431\n", + "\n", + "$MSE_list[[67]][[2]]\n", + "[1] 0.2982318\n", + "\n", + "$MSE_list[[67]][[3]]\n", + "[1] 0.4173667\n", + "\n", + "$MSE_list[[67]][[4]]\n", + "[1] 0.1987777\n", + "\n", + "$MSE_list[[67]][[5]]\n", + "[1] 0.3115104\n", + "\n", + "$MSE_list[[67]][[6]]\n", + "[1] 0.3199113\n", + "\n", + "$MSE_list[[67]][[7]]\n", + "[1] 0.08233852\n", + "\n", + "$MSE_list[[67]][[8]]\n", + "[1] 0.3200625\n", + "\n", + "$MSE_list[[67]][[9]]\n", + "[1] 0.4071757\n", + "\n", + "$MSE_list[[67]][[10]]\n", + "[1] 0.2742642\n", + "\n", + "$MSE_list[[67]][[11]]\n", + "[1] 0.3324083\n", + "\n", + "$MSE_list[[67]][[12]]\n", + "[1] 0.2425617\n", + "\n", + "$MSE_list[[67]][[13]]\n", + "[1] 0.2027115\n", + "\n", + "$MSE_list[[67]][[14]]\n", + "[1] 0.2959647\n", + "\n", + "$MSE_list[[67]][[15]]\n", + "[1] 0.3431881\n", + "\n", + "$MSE_list[[67]][[16]]\n", + "[1] 0.2820323\n", + "\n", + "$MSE_list[[67]][[17]]\n", + "[1] 0.3558205\n", + "\n", + "$MSE_list[[67]][[18]]\n", + "[1] 0.2249014\n", + "\n", + "$MSE_list[[67]][[19]]\n", + "[1] 0.4254816\n", + "\n", + "$MSE_list[[67]][[20]]\n", + "[1] 0.2273546\n", + "\n", + "$MSE_list[[67]][[21]]\n", + "[1] 0.2130646\n", + "\n", + "$MSE_list[[67]][[22]]\n", + "[1] 0.3422985\n", + "\n", + "$MSE_list[[67]][[23]]\n", + "[1] 0.3947563\n", + "\n", + "$MSE_list[[67]][[24]]\n", + "[1] 0.3108268\n", + "\n", + "$MSE_list[[67]][[25]]\n", + "[1] 0.3624445\n", + "\n", + "$MSE_list[[67]][[26]]\n", + "[1] 0.3353126\n", + "\n", + "$MSE_list[[67]][[27]]\n", + "[1] 0.1674248\n", + "\n", + "$MSE_list[[67]][[28]]\n", + "[1] 0.2621301\n", + "\n", + "$MSE_list[[67]][[29]]\n", + "[1] 0.2353802\n", + "\n", + "$MSE_list[[67]][[30]]\n", + "[1] 0.3443542\n", + "\n", + "$MSE_list[[67]][[31]]\n", + "[1] 0.278691\n", + "\n", + "$MSE_list[[67]][[32]]\n", + "[1] 0.2363278\n", + "\n", + "$MSE_list[[67]][[33]]\n", + "[1] 0.2491771\n", + "\n", + "$MSE_list[[67]][[34]]\n", + "[1] 0.4265932\n", + "\n", + "$MSE_list[[67]][[35]]\n", + "[1] 0.2932113\n", + "\n", + "$MSE_list[[67]][[36]]\n", + "[1] 0.3115105\n", + "\n", + "$MSE_list[[67]][[37]]\n", + "[1] 0.428954\n", + "\n", + "$MSE_list[[67]][[38]]\n", + "[1] 0.265246\n", + "\n", + "$MSE_list[[67]][[39]]\n", + "[1] 0.1728031\n", + "\n", + "$MSE_list[[67]][[40]]\n", + "[1] 0.270511\n", + "\n", + "$MSE_list[[67]][[41]]\n", + "[1] 0.246819\n", + "\n", + "$MSE_list[[67]][[42]]\n", + "[1] 0.3851345\n", + "\n", + "$MSE_list[[67]][[43]]\n", + "[1] 0.2772751\n", + "\n", + "$MSE_list[[67]][[44]]\n", + "[1] 0.1362621\n", + "\n", + "$MSE_list[[67]][[45]]\n", + "[1] 0.2678146\n", + "\n", + "$MSE_list[[67]][[46]]\n", + "[1] 0.2348163\n", + "\n", + "$MSE_list[[67]][[47]]\n", + "[1] 0.2326754\n", + "\n", + "$MSE_list[[67]][[48]]\n", + "[1] 0.2242928\n", + "\n", + "$MSE_list[[67]][[49]]\n", + "[1] 0.2241153\n", + "\n", + "$MSE_list[[67]][[50]]\n", + "[1] 0.3497612\n", + "\n", + "$MSE_list[[67]][[51]]\n", + "[1] 0.2771868\n", + "\n", + "$MSE_list[[67]][[52]]\n", + "[1] 0.1573605\n", + "\n", + "$MSE_list[[67]][[53]]\n", + "[1] 0.4012128\n", + "\n", + "$MSE_list[[67]][[54]]\n", + "[1] 0.2718398\n", + "\n", + "$MSE_list[[67]][[55]]\n", + "[1] 0.2641359\n", + "\n", + "$MSE_list[[67]][[56]]\n", + "[1] 0.3921386\n", + "\n", + "$MSE_list[[67]][[57]]\n", + "[1] 0.2020652\n", + "\n", + "$MSE_list[[67]][[58]]\n", + "[1] 0.1404626\n", + "\n", + "$MSE_list[[67]][[59]]\n", + "[1] 0.2633812\n", + "\n", + "$MSE_list[[67]][[60]]\n", + "[1] 0.4556625\n", + "\n", + "$MSE_list[[67]][[61]]\n", + "[1] 0.2862062\n", + "\n", + "$MSE_list[[67]][[62]]\n", + "[1] 0.4165866\n", + "\n", + "$MSE_list[[67]][[63]]\n", + "[1] 0.2777933\n", + "\n", + "$MSE_list[[67]][[64]]\n", + "[1] 0.30832\n", + "\n", + "$MSE_list[[67]][[65]]\n", + "[1] 0.3521243\n", + "\n", + "$MSE_list[[67]][[66]]\n", + "[1] 0.1296072\n", + "\n", + "$MSE_list[[67]][[67]]\n", + "[1] 0.1783616\n", + "\n", + "$MSE_list[[67]][[68]]\n", + "[1] 0.430696\n", + "\n", + "$MSE_list[[67]][[69]]\n", + "[1] 0.2663378\n", + "\n", + "$MSE_list[[67]][[70]]\n", + "[1] 0.1978694\n", + "\n", + "$MSE_list[[67]][[71]]\n", + "[1] 0.3111663\n", + "\n", + "$MSE_list[[67]][[72]]\n", + "[1] 0.3254742\n", + "\n", + "$MSE_list[[67]][[73]]\n", + "[1] 0.2636468\n", + "\n", + "$MSE_list[[67]][[74]]\n", + "[1] 0.2778778\n", + "\n", + "$MSE_list[[67]][[75]]\n", + "[1] 0.2078348\n", + "\n", + "$MSE_list[[67]][[76]]\n", + "[1] 0.3735519\n", + "\n", + "$MSE_list[[67]][[77]]\n", + "[1] 0.2935881\n", + "\n", + "$MSE_list[[67]][[78]]\n", + "[1] 0.3533605\n", + "\n", + "$MSE_list[[67]][[79]]\n", + "[1] 0.2463781\n", + "\n", + "$MSE_list[[67]][[80]]\n", + "[1] 0.2585661\n", + "\n", + "$MSE_list[[67]][[81]]\n", + "[1] 0.3470318\n", + "\n", + "$MSE_list[[67]][[82]]\n", + "[1] 0.2211004\n", + "\n", + "$MSE_list[[67]][[83]]\n", + "[1] 0.2447711\n", + "\n", + "$MSE_list[[67]][[84]]\n", + "[1] 0.435134\n", + "\n", + "$MSE_list[[67]][[85]]\n", + "[1] 0.4317667\n", + "\n", + "$MSE_list[[67]][[86]]\n", + "[1] 0.2348427\n", + "\n", + "$MSE_list[[67]][[87]]\n", + "[1] 0.3309\n", + "\n", + "$MSE_list[[67]][[88]]\n", + "[1] 0.3658446\n", + "\n", + "$MSE_list[[67]][[89]]\n", + "[1] 0.1087619\n", + "\n", + "$MSE_list[[67]][[90]]\n", + "[1] 0.2041082\n", + "\n", + "$MSE_list[[67]][[91]]\n", + "[1] 0.3257955\n", + "\n", + "$MSE_list[[67]][[92]]\n", + "[1] 0.2955127\n", + "\n", + "$MSE_list[[67]][[93]]\n", + "[1] 0.2768785\n", + "\n", + "$MSE_list[[67]][[94]]\n", + "[1] 0.2172693\n", + "\n", + "$MSE_list[[67]][[95]]\n", + "[1] 0.1663446\n", + "\n", + "$MSE_list[[67]][[96]]\n", + "[1] 0.3714057\n", + "\n", + "$MSE_list[[67]][[97]]\n", + "[1] 0.2926439\n", + "\n", + "$MSE_list[[67]][[98]]\n", + "[1] 0.3127864\n", + "\n", + "$MSE_list[[67]][[99]]\n", + "[1] 0.2278853\n", + "\n", + "$MSE_list[[67]][[100]]\n", + "[1] 0.2236983\n", + "\n", + "\n", + "$MSE_list[[68]]\n", + "$MSE_list[[68]][[1]]\n", + "[1] 0.1052423\n", + "\n", + "$MSE_list[[68]][[2]]\n", + "[1] 0.2570362\n", + "\n", + "$MSE_list[[68]][[3]]\n", + "[1] 0.2931575\n", + "\n", + "$MSE_list[[68]][[4]]\n", + "[1] 0.261566\n", + "\n", + "$MSE_list[[68]][[5]]\n", + "[1] 0.1026269\n", + "\n", + "$MSE_list[[68]][[6]]\n", + "[1] 0.1880581\n", + "\n", + "$MSE_list[[68]][[7]]\n", + "[1] 0.3180609\n", + "\n", + "$MSE_list[[68]][[8]]\n", + "[1] 0.2491717\n", + "\n", + "$MSE_list[[68]][[9]]\n", + "[1] 0.2188465\n", + "\n", + "$MSE_list[[68]][[10]]\n", + "[1] 0.4181175\n", + "\n", + "$MSE_list[[68]][[11]]\n", + "[1] 0.1120882\n", + "\n", + "$MSE_list[[68]][[12]]\n", + "[1] 0.3972487\n", + "\n", + "$MSE_list[[68]][[13]]\n", + "[1] 0.2818057\n", + "\n", + "$MSE_list[[68]][[14]]\n", + "[1] 0.2183254\n", + "\n", + "$MSE_list[[68]][[15]]\n", + "[1] 0.351988\n", + "\n", + "$MSE_list[[68]][[16]]\n", + "[1] 0.2965118\n", + "\n", + "$MSE_list[[68]][[17]]\n", + "[1] 0.2347805\n", + "\n", + "$MSE_list[[68]][[18]]\n", + "[1] 0.1072403\n", + "\n", + "$MSE_list[[68]][[19]]\n", + "[1] 0.103945\n", + "\n", + "$MSE_list[[68]][[20]]\n", + "[1] 0.198244\n", + "\n", + "$MSE_list[[68]][[21]]\n", + "[1] 0.2811997\n", + "\n", + "$MSE_list[[68]][[22]]\n", + "[1] 0.3155184\n", + "\n", + "$MSE_list[[68]][[23]]\n", + "[1] 0.2161458\n", + "\n", + "$MSE_list[[68]][[24]]\n", + "[1] 0.1856371\n", + "\n", + "$MSE_list[[68]][[25]]\n", + "[1] 0.2277859\n", + "\n", + "$MSE_list[[68]][[26]]\n", + "[1] 0.2699602\n", + "\n", + "$MSE_list[[68]][[27]]\n", + "[1] 0.2246157\n", + "\n", + "$MSE_list[[68]][[28]]\n", + "[1] 0.3726568\n", + "\n", + "$MSE_list[[68]][[29]]\n", + "[1] 0.3660743\n", + "\n", + "$MSE_list[[68]][[30]]\n", + "[1] 0.1307432\n", + "\n", + "$MSE_list[[68]][[31]]\n", + "[1] 0.2264345\n", + "\n", + "$MSE_list[[68]][[32]]\n", + "[1] 0.3027991\n", + "\n", + "$MSE_list[[68]][[33]]\n", + "[1] 0.1485705\n", + "\n", + "$MSE_list[[68]][[34]]\n", + "[1] 0.134884\n", + "\n", + "$MSE_list[[68]][[35]]\n", + "[1] 0.2869783\n", + "\n", + "$MSE_list[[68]][[36]]\n", + "[1] 0.2922804\n", + "\n", + "$MSE_list[[68]][[37]]\n", + "[1] 0.1346243\n", + "\n", + "$MSE_list[[68]][[38]]\n", + "[1] 0.1945088\n", + "\n", + "$MSE_list[[68]][[39]]\n", + "[1] 0.3080272\n", + "\n", + "$MSE_list[[68]][[40]]\n", + "[1] 0.169029\n", + "\n", + "$MSE_list[[68]][[41]]\n", + "[1] 0.1601885\n", + "\n", + "$MSE_list[[68]][[42]]\n", + "[1] 0.1300954\n", + "\n", + "$MSE_list[[68]][[43]]\n", + "[1] 0.07983446\n", + "\n", + "$MSE_list[[68]][[44]]\n", + "[1] 0.1902959\n", + "\n", + "$MSE_list[[68]][[45]]\n", + "[1] 0.2877004\n", + "\n", + "$MSE_list[[68]][[46]]\n", + "[1] 0.3578604\n", + "\n", + "$MSE_list[[68]][[47]]\n", + "[1] 0.2214351\n", + "\n", + "$MSE_list[[68]][[48]]\n", + "[1] 0.2315385\n", + "\n", + "$MSE_list[[68]][[49]]\n", + "[1] 0.2135073\n", + "\n", + "$MSE_list[[68]][[50]]\n", + "[1] 0.331085\n", + "\n", + "$MSE_list[[68]][[51]]\n", + "[1] 0.3507567\n", + "\n", + "$MSE_list[[68]][[52]]\n", + "[1] 0.3489038\n", + "\n", + "$MSE_list[[68]][[53]]\n", + "[1] 0.1989117\n", + "\n", + "$MSE_list[[68]][[54]]\n", + "[1] 0.1622258\n", + "\n", + "$MSE_list[[68]][[55]]\n", + "[1] 0.1324852\n", + "\n", + "$MSE_list[[68]][[56]]\n", + "[1] 0.2167809\n", + "\n", + "$MSE_list[[68]][[57]]\n", + "[1] 0.1992579\n", + "\n", + "$MSE_list[[68]][[58]]\n", + "[1] 0.1388748\n", + "\n", + "$MSE_list[[68]][[59]]\n", + "[1] 0.1782166\n", + "\n", + "$MSE_list[[68]][[60]]\n", + "[1] 0.2050386\n", + "\n", + "$MSE_list[[68]][[61]]\n", + "[1] 0.2514971\n", + "\n", + "$MSE_list[[68]][[62]]\n", + "[1] 0.1951139\n", + "\n", + "$MSE_list[[68]][[63]]\n", + "[1] 0.2900448\n", + "\n", + "$MSE_list[[68]][[64]]\n", + "[1] 0.2014471\n", + "\n", + "$MSE_list[[68]][[65]]\n", + "[1] 0.2683236\n", + "\n", + "$MSE_list[[68]][[66]]\n", + "[1] 0.2174907\n", + "\n", + "$MSE_list[[68]][[67]]\n", + "[1] 0.2868061\n", + "\n", + "$MSE_list[[68]][[68]]\n", + "[1] 0.206516\n", + "\n", + "$MSE_list[[68]][[69]]\n", + "[1] 0.12609\n", + "\n", + "$MSE_list[[68]][[70]]\n", + "[1] 0.4112387\n", + "\n", + "$MSE_list[[68]][[71]]\n", + "[1] 0.2368877\n", + "\n", + "$MSE_list[[68]][[72]]\n", + "[1] 0.2498178\n", + "\n", + "$MSE_list[[68]][[73]]\n", + "[1] 0.1770127\n", + "\n", + "$MSE_list[[68]][[74]]\n", + "[1] 0.1755997\n", + "\n", + "$MSE_list[[68]][[75]]\n", + "[1] 0.3094185\n", + "\n", + "$MSE_list[[68]][[76]]\n", + "[1] 0.272233\n", + "\n", + "$MSE_list[[68]][[77]]\n", + "[1] 0.2125002\n", + "\n", + "$MSE_list[[68]][[78]]\n", + "[1] 0.2501598\n", + "\n", + "$MSE_list[[68]][[79]]\n", + "[1] 0.2265805\n", + "\n", + "$MSE_list[[68]][[80]]\n", + "[1] 0.2726895\n", + "\n", + "$MSE_list[[68]][[81]]\n", + "[1] 0.2358613\n", + "\n", + "$MSE_list[[68]][[82]]\n", + "[1] 0.2922204\n", + "\n", + "$MSE_list[[68]][[83]]\n", + "[1] 0.2252448\n", + "\n", + "$MSE_list[[68]][[84]]\n", + "[1] 0.2247611\n", + "\n", + "$MSE_list[[68]][[85]]\n", + "[1] 0.2198592\n", + "\n", + "$MSE_list[[68]][[86]]\n", + "[1] 0.2304474\n", + "\n", + "$MSE_list[[68]][[87]]\n", + "[1] 0.244079\n", + "\n", + "$MSE_list[[68]][[88]]\n", + "[1] 0.1762817\n", + "\n", + "$MSE_list[[68]][[89]]\n", + "[1] 0.2217053\n", + "\n", + "$MSE_list[[68]][[90]]\n", + "[1] 0.2818175\n", + "\n", + "$MSE_list[[68]][[91]]\n", + "[1] 0.4271452\n", + "\n", + "$MSE_list[[68]][[92]]\n", + "[1] 0.2872778\n", + "\n", + "$MSE_list[[68]][[93]]\n", + "[1] 0.4120807\n", + "\n", + "$MSE_list[[68]][[94]]\n", + "[1] 0.2889603\n", + "\n", + "$MSE_list[[68]][[95]]\n", + "[1] 0.253805\n", + "\n", + "$MSE_list[[68]][[96]]\n", + "[1] 0.1737965\n", + "\n", + "$MSE_list[[68]][[97]]\n", + "[1] 0.235003\n", + "\n", + "$MSE_list[[68]][[98]]\n", + "[1] 0.1296943\n", + "\n", + "$MSE_list[[68]][[99]]\n", + "[1] 0.2030938\n", + "\n", + "$MSE_list[[68]][[100]]\n", + "[1] 0.2841797\n", + "\n", + "\n", + "$MSE_list[[69]]\n", + "$MSE_list[[69]][[1]]\n", + "[1] 0.2471103\n", + "\n", + "$MSE_list[[69]][[2]]\n", + "[1] 0.2770602\n", + "\n", + "$MSE_list[[69]][[3]]\n", + "[1] 0.3400986\n", + "\n", + "$MSE_list[[69]][[4]]\n", + "[1] 0.1494105\n", + "\n", + "$MSE_list[[69]][[5]]\n", + "[1] 0.1868029\n", + "\n", + "$MSE_list[[69]][[6]]\n", + "[1] 0.3196257\n", + "\n", + "$MSE_list[[69]][[7]]\n", + "[1] 0.1792646\n", + "\n", + "$MSE_list[[69]][[8]]\n", + "[1] 0.2329846\n", + "\n", + "$MSE_list[[69]][[9]]\n", + "[1] 0.2314747\n", + "\n", + "$MSE_list[[69]][[10]]\n", + "[1] 0.1874223\n", + "\n", + "$MSE_list[[69]][[11]]\n", + "[1] 0.2334293\n", + "\n", + "$MSE_list[[69]][[12]]\n", + "[1] 0.3354555\n", + "\n", + "$MSE_list[[69]][[13]]\n", + "[1] 0.329913\n", + "\n", + "$MSE_list[[69]][[14]]\n", + "[1] 0.200226\n", + "\n", + "$MSE_list[[69]][[15]]\n", + "[1] 0.3379197\n", + "\n", + "$MSE_list[[69]][[16]]\n", + "[1] 0.2065076\n", + "\n", + "$MSE_list[[69]][[17]]\n", + "[1] 0.2754789\n", + "\n", + "$MSE_list[[69]][[18]]\n", + "[1] 0.2242331\n", + "\n", + "$MSE_list[[69]][[19]]\n", + "[1] 0.3265631\n", + "\n", + "$MSE_list[[69]][[20]]\n", + "[1] 0.3747159\n", + "\n", + "$MSE_list[[69]][[21]]\n", + "[1] 0.2349976\n", + "\n", + "$MSE_list[[69]][[22]]\n", + "[1] 0.1657033\n", + "\n", + "$MSE_list[[69]][[23]]\n", + "[1] 0.3293195\n", + "\n", + "$MSE_list[[69]][[24]]\n", + "[1] 0.3262479\n", + "\n", + "$MSE_list[[69]][[25]]\n", + "[1] 0.3182355\n", + "\n", + "$MSE_list[[69]][[26]]\n", + "[1] 0.2598373\n", + "\n", + "$MSE_list[[69]][[27]]\n", + "[1] 0.2684393\n", + "\n", + "$MSE_list[[69]][[28]]\n", + "[1] 0.164483\n", + "\n", + "$MSE_list[[69]][[29]]\n", + "[1] 0.1224342\n", + "\n", + "$MSE_list[[69]][[30]]\n", + "[1] 0.3160389\n", + "\n", + "$MSE_list[[69]][[31]]\n", + "[1] 0.301512\n", + "\n", + "$MSE_list[[69]][[32]]\n", + "[1] 0.190438\n", + "\n", + "$MSE_list[[69]][[33]]\n", + "[1] 0.3044778\n", + "\n", + "$MSE_list[[69]][[34]]\n", + "[1] 0.3705327\n", + "\n", + "$MSE_list[[69]][[35]]\n", + "[1] 0.2471119\n", + "\n", + "$MSE_list[[69]][[36]]\n", + "[1] 0.2928285\n", + "\n", + "$MSE_list[[69]][[37]]\n", + "[1] 0.300526\n", + "\n", + "$MSE_list[[69]][[38]]\n", + "[1] 0.4301462\n", + "\n", + "$MSE_list[[69]][[39]]\n", + "[1] 0.2374748\n", + "\n", + "$MSE_list[[69]][[40]]\n", + "[1] 0.1518561\n", + "\n", + "$MSE_list[[69]][[41]]\n", + "[1] 0.2407755\n", + "\n", + "$MSE_list[[69]][[42]]\n", + "[1] 0.2685263\n", + "\n", + "$MSE_list[[69]][[43]]\n", + "[1] 0.2898956\n", + "\n", + "$MSE_list[[69]][[44]]\n", + "[1] 0.301731\n", + "\n", + "$MSE_list[[69]][[45]]\n", + "[1] 0.2418214\n", + "\n", + "$MSE_list[[69]][[46]]\n", + "[1] 0.3767298\n", + "\n", + "$MSE_list[[69]][[47]]\n", + "[1] 0.2003094\n", + "\n", + "$MSE_list[[69]][[48]]\n", + "[1] 0.2503935\n", + "\n", + "$MSE_list[[69]][[49]]\n", + "[1] 0.2762516\n", + "\n", + "$MSE_list[[69]][[50]]\n", + "[1] 0.2295545\n", + "\n", + "$MSE_list[[69]][[51]]\n", + "[1] 0.2393069\n", + "\n", + "$MSE_list[[69]][[52]]\n", + "[1] 0.265922\n", + "\n", + "$MSE_list[[69]][[53]]\n", + "[1] 0.3197515\n", + "\n", + "$MSE_list[[69]][[54]]\n", + "[1] 0.2605273\n", + "\n", + "$MSE_list[[69]][[55]]\n", + "[1] 0.3089024\n", + "\n", + "$MSE_list[[69]][[56]]\n", + "[1] 0.2348628\n", + "\n", + "$MSE_list[[69]][[57]]\n", + "[1] 0.2671754\n", + "\n", + "$MSE_list[[69]][[58]]\n", + "[1] 0.2159715\n", + "\n", + "$MSE_list[[69]][[59]]\n", + "[1] 0.2854659\n", + "\n", + "$MSE_list[[69]][[60]]\n", + "[1] 0.2164128\n", + "\n", + "$MSE_list[[69]][[61]]\n", + "[1] 0.1674766\n", + "\n", + "$MSE_list[[69]][[62]]\n", + "[1] 0.2241192\n", + "\n", + "$MSE_list[[69]][[63]]\n", + "[1] 0.3276824\n", + "\n", + "$MSE_list[[69]][[64]]\n", + "[1] 0.2914716\n", + "\n", + "$MSE_list[[69]][[65]]\n", + "[1] 0.1539313\n", + "\n", + "$MSE_list[[69]][[66]]\n", + "[1] 0.2479053\n", + "\n", + "$MSE_list[[69]][[67]]\n", + "[1] 0.2913504\n", + "\n", + "$MSE_list[[69]][[68]]\n", + "[1] 0.3607584\n", + "\n", + "$MSE_list[[69]][[69]]\n", + "[1] 0.3113152\n", + "\n", + "$MSE_list[[69]][[70]]\n", + "[1] 0.2006601\n", + "\n", + "$MSE_list[[69]][[71]]\n", + "[1] 0.2365801\n", + "\n", + "$MSE_list[[69]][[72]]\n", + "[1] 0.2622168\n", + "\n", + "$MSE_list[[69]][[73]]\n", + "[1] 0.225301\n", + "\n", + "$MSE_list[[69]][[74]]\n", + "[1] 0.1371629\n", + "\n", + "$MSE_list[[69]][[75]]\n", + "[1] 0.2126856\n", + "\n", + "$MSE_list[[69]][[76]]\n", + "[1] 0.3370984\n", + "\n", + "$MSE_list[[69]][[77]]\n", + "[1] 0.1705042\n", + "\n", + "$MSE_list[[69]][[78]]\n", + "[1] 0.2525068\n", + "\n", + "$MSE_list[[69]][[79]]\n", + "[1] 0.1973412\n", + "\n", + "$MSE_list[[69]][[80]]\n", + "[1] 0.37345\n", + "\n", + "$MSE_list[[69]][[81]]\n", + "[1] 0.2271393\n", + "\n", + "$MSE_list[[69]][[82]]\n", + "[1] 0.2955293\n", + "\n", + "$MSE_list[[69]][[83]]\n", + "[1] 0.2406342\n", + "\n", + "$MSE_list[[69]][[84]]\n", + "[1] 0.2643183\n", + "\n", + "$MSE_list[[69]][[85]]\n", + "[1] 0.2515035\n", + "\n", + "$MSE_list[[69]][[86]]\n", + "[1] 0.1275063\n", + "\n", + "$MSE_list[[69]][[87]]\n", + "[1] 0.2718542\n", + "\n", + "$MSE_list[[69]][[88]]\n", + "[1] 0.2307456\n", + "\n", + "$MSE_list[[69]][[89]]\n", + "[1] 0.2211173\n", + "\n", + "$MSE_list[[69]][[90]]\n", + "[1] 0.2034731\n", + "\n", + "$MSE_list[[69]][[91]]\n", + "[1] 0.2378144\n", + "\n", + "$MSE_list[[69]][[92]]\n", + "[1] 0.2939926\n", + "\n", + "$MSE_list[[69]][[93]]\n", + "[1] 0.2991997\n", + "\n", + "$MSE_list[[69]][[94]]\n", + "[1] 0.1939397\n", + "\n", + "$MSE_list[[69]][[95]]\n", + "[1] 0.2603192\n", + "\n", + "$MSE_list[[69]][[96]]\n", + "[1] 0.3528542\n", + "\n", + "$MSE_list[[69]][[97]]\n", + "[1] 0.4220476\n", + "\n", + "$MSE_list[[69]][[98]]\n", + "[1] 0.2661675\n", + "\n", + "$MSE_list[[69]][[99]]\n", + "[1] 0.1914653\n", + "\n", + "$MSE_list[[69]][[100]]\n", + "[1] 0.273818\n", + "\n", + "\n", + "$MSE_list[[70]]\n", + "$MSE_list[[70]][[1]]\n", + "[1] 0.1414609\n", + "\n", + "$MSE_list[[70]][[2]]\n", + "[1] 0.1695723\n", + "\n", + "$MSE_list[[70]][[3]]\n", + "[1] 0.2449208\n", + "\n", + "$MSE_list[[70]][[4]]\n", + "[1] 0.200918\n", + "\n", + "$MSE_list[[70]][[5]]\n", + "[1] 0.2270716\n", + "\n", + "$MSE_list[[70]][[6]]\n", + "[1] 0.2445172\n", + "\n", + "$MSE_list[[70]][[7]]\n", + "[1] 0.2663165\n", + "\n", + "$MSE_list[[70]][[8]]\n", + "[1] 0.2791194\n", + "\n", + "$MSE_list[[70]][[9]]\n", + "[1] 0.1774927\n", + "\n", + "$MSE_list[[70]][[10]]\n", + "[1] 0.3247762\n", + "\n", + "$MSE_list[[70]][[11]]\n", + "[1] 0.2483933\n", + "\n", + "$MSE_list[[70]][[12]]\n", + "[1] 0.1983198\n", + "\n", + "$MSE_list[[70]][[13]]\n", + "[1] 0.1769417\n", + "\n", + "$MSE_list[[70]][[14]]\n", + "[1] 0.2684784\n", + "\n", + "$MSE_list[[70]][[15]]\n", + "[1] 0.1196652\n", + "\n", + "$MSE_list[[70]][[16]]\n", + "[1] 0.213619\n", + "\n", + "$MSE_list[[70]][[17]]\n", + "[1] 0.1519986\n", + "\n", + "$MSE_list[[70]][[18]]\n", + "[1] 0.2892011\n", + "\n", + "$MSE_list[[70]][[19]]\n", + "[1] 0.244027\n", + "\n", + "$MSE_list[[70]][[20]]\n", + "[1] 0.2436619\n", + "\n", + "$MSE_list[[70]][[21]]\n", + "[1] 0.2483844\n", + "\n", + "$MSE_list[[70]][[22]]\n", + "[1] 0.2441564\n", + "\n", + "$MSE_list[[70]][[23]]\n", + "[1] 0.1675056\n", + "\n", + "$MSE_list[[70]][[24]]\n", + "[1] 0.3069802\n", + "\n", + "$MSE_list[[70]][[25]]\n", + "[1] 0.3264765\n", + "\n", + "$MSE_list[[70]][[26]]\n", + "[1] 0.4051422\n", + "\n", + "$MSE_list[[70]][[27]]\n", + "[1] 0.247611\n", + "\n", + "$MSE_list[[70]][[28]]\n", + "[1] 0.1906549\n", + "\n", + "$MSE_list[[70]][[29]]\n", + "[1] 0.04751814\n", + "\n", + "$MSE_list[[70]][[30]]\n", + "[1] 0.2576821\n", + "\n", + "$MSE_list[[70]][[31]]\n", + "[1] 0.2447177\n", + "\n", + "$MSE_list[[70]][[32]]\n", + "[1] 0.3355448\n", + "\n", + "$MSE_list[[70]][[33]]\n", + "[1] 0.2029039\n", + "\n", + "$MSE_list[[70]][[34]]\n", + "[1] 0.1934466\n", + "\n", + "$MSE_list[[70]][[35]]\n", + "[1] 0.2010283\n", + "\n", + "$MSE_list[[70]][[36]]\n", + "[1] 0.2939047\n", + "\n", + "$MSE_list[[70]][[37]]\n", + "[1] 0.295752\n", + "\n", + "$MSE_list[[70]][[38]]\n", + "[1] 0.2180041\n", + "\n", + "$MSE_list[[70]][[39]]\n", + "[1] 0.2382704\n", + "\n", + "$MSE_list[[70]][[40]]\n", + "[1] 0.3493056\n", + "\n", + "$MSE_list[[70]][[41]]\n", + "[1] 0.296116\n", + "\n", + "$MSE_list[[70]][[42]]\n", + "[1] 0.1890908\n", + "\n", + "$MSE_list[[70]][[43]]\n", + "[1] 0.3021374\n", + "\n", + "$MSE_list[[70]][[44]]\n", + "[1] 0.2225276\n", + "\n", + "$MSE_list[[70]][[45]]\n", + "[1] 0.1543511\n", + "\n", + "$MSE_list[[70]][[46]]\n", + "[1] 0.09835966\n", + "\n", + "$MSE_list[[70]][[47]]\n", + "[1] 0.2421686\n", + "\n", + "$MSE_list[[70]][[48]]\n", + "[1] 0.1497783\n", + "\n", + "$MSE_list[[70]][[49]]\n", + "[1] 0.1965829\n", + "\n", + "$MSE_list[[70]][[50]]\n", + "[1] 0.2445678\n", + "\n", + "$MSE_list[[70]][[51]]\n", + "[1] 0.1423343\n", + "\n", + "$MSE_list[[70]][[52]]\n", + "[1] 0.1792484\n", + "\n", + "$MSE_list[[70]][[53]]\n", + "[1] 0.05663492\n", + "\n", + "$MSE_list[[70]][[54]]\n", + "[1] 0.1734895\n", + "\n", + "$MSE_list[[70]][[55]]\n", + "[1] 0.2427796\n", + "\n", + "$MSE_list[[70]][[56]]\n", + "[1] 0.214404\n", + "\n", + "$MSE_list[[70]][[57]]\n", + "[1] 0.1469432\n", + "\n", + "$MSE_list[[70]][[58]]\n", + "[1] 0.1654596\n", + "\n", + "$MSE_list[[70]][[59]]\n", + "[1] 0.2000275\n", + "\n", + "$MSE_list[[70]][[60]]\n", + "[1] 0.2437001\n", + "\n", + "$MSE_list[[70]][[61]]\n", + "[1] 0.3164167\n", + "\n", + "$MSE_list[[70]][[62]]\n", + "[1] 0.2289735\n", + "\n", + "$MSE_list[[70]][[63]]\n", + "[1] 0.1275454\n", + "\n", + "$MSE_list[[70]][[64]]\n", + "[1] 0.2549314\n", + "\n", + "$MSE_list[[70]][[65]]\n", + "[1] 0.1442476\n", + "\n", + "$MSE_list[[70]][[66]]\n", + "[1] 0.1550256\n", + "\n", + "$MSE_list[[70]][[67]]\n", + "[1] 0.2428695\n", + "\n", + "$MSE_list[[70]][[68]]\n", + "[1] 0.3842139\n", + "\n", + "$MSE_list[[70]][[69]]\n", + "[1] 0.2382695\n", + "\n", + "$MSE_list[[70]][[70]]\n", + "[1] 0.2532909\n", + "\n", + "$MSE_list[[70]][[71]]\n", + "[1] 0.2068953\n", + "\n", + "$MSE_list[[70]][[72]]\n", + "[1] 0.1505172\n", + "\n", + "$MSE_list[[70]][[73]]\n", + "[1] 0.2816955\n", + "\n", + "$MSE_list[[70]][[74]]\n", + "[1] 0.1670978\n", + "\n", + "$MSE_list[[70]][[75]]\n", + "[1] 0.2472136\n", + "\n", + "$MSE_list[[70]][[76]]\n", + "[1] 0.1478615\n", + "\n", + "$MSE_list[[70]][[77]]\n", + "[1] 0.3283637\n", + "\n", + "$MSE_list[[70]][[78]]\n", + "[1] 0.2051433\n", + "\n", + "$MSE_list[[70]][[79]]\n", + "[1] 0.1398413\n", + "\n", + "$MSE_list[[70]][[80]]\n", + "[1] 0.2725153\n", + "\n", + "$MSE_list[[70]][[81]]\n", + "[1] 0.2415574\n", + "\n", + "$MSE_list[[70]][[82]]\n", + "[1] 0.360998\n", + "\n", + "$MSE_list[[70]][[83]]\n", + "[1] 0.2913529\n", + "\n", + "$MSE_list[[70]][[84]]\n", + "[1] 0.08310691\n", + "\n", + "$MSE_list[[70]][[85]]\n", + "[1] 0.2095992\n", + "\n", + "$MSE_list[[70]][[86]]\n", + "[1] 0.2358024\n", + "\n", + "$MSE_list[[70]][[87]]\n", + "[1] 0.2767037\n", + "\n", + "$MSE_list[[70]][[88]]\n", + "[1] 0.1856193\n", + "\n", + "$MSE_list[[70]][[89]]\n", + "[1] 0.1109703\n", + "\n", + "$MSE_list[[70]][[90]]\n", + "[1] 0.3190532\n", + "\n", + "$MSE_list[[70]][[91]]\n", + "[1] 0.3426477\n", + "\n", + "$MSE_list[[70]][[92]]\n", + "[1] 0.173262\n", + "\n", + "$MSE_list[[70]][[93]]\n", + "[1] 0.0932693\n", + "\n", + "$MSE_list[[70]][[94]]\n", + "[1] 0.2455951\n", + "\n", + "$MSE_list[[70]][[95]]\n", + "[1] 0.213761\n", + "\n", + "$MSE_list[[70]][[96]]\n", + "[1] 0.3576752\n", + "\n", + "$MSE_list[[70]][[97]]\n", + "[1] 0.09512588\n", + "\n", + "$MSE_list[[70]][[98]]\n", + "[1] 0.2041694\n", + "\n", + "$MSE_list[[70]][[99]]\n", + "[1] 0.1916406\n", + "\n", + "$MSE_list[[70]][[100]]\n", + "[1] 0.1920273\n", + "\n", + "\n", + "$MSE_list[[71]]\n", + "$MSE_list[[71]][[1]]\n", + "[1] 0.325361\n", + "\n", + "$MSE_list[[71]][[2]]\n", + "[1] 0.2318812\n", + "\n", + "$MSE_list[[71]][[3]]\n", + "[1] 0.1519648\n", + "\n", + "$MSE_list[[71]][[4]]\n", + "[1] 0.1554774\n", + "\n", + "$MSE_list[[71]][[5]]\n", + "[1] 0.1265039\n", + "\n", + "$MSE_list[[71]][[6]]\n", + "[1] 0.3238827\n", + "\n", + "$MSE_list[[71]][[7]]\n", + "[1] 0.2812195\n", + "\n", + "$MSE_list[[71]][[8]]\n", + "[1] 0.337456\n", + "\n", + "$MSE_list[[71]][[9]]\n", + "[1] 0.1783712\n", + "\n", + "$MSE_list[[71]][[10]]\n", + "[1] 0.1657217\n", + "\n", + "$MSE_list[[71]][[11]]\n", + "[1] 0.146589\n", + "\n", + "$MSE_list[[71]][[12]]\n", + "[1] 0.2797848\n", + "\n", + "$MSE_list[[71]][[13]]\n", + "[1] 0.1337828\n", + "\n", + "$MSE_list[[71]][[14]]\n", + "[1] 0.384629\n", + "\n", + "$MSE_list[[71]][[15]]\n", + "[1] 0.2802598\n", + "\n", + "$MSE_list[[71]][[16]]\n", + "[1] 0.2021705\n", + "\n", + "$MSE_list[[71]][[17]]\n", + "[1] 0.2671411\n", + "\n", + "$MSE_list[[71]][[18]]\n", + "[1] 0.2711906\n", + "\n", + "$MSE_list[[71]][[19]]\n", + "[1] 0.2752568\n", + "\n", + "$MSE_list[[71]][[20]]\n", + "[1] 0.3572424\n", + "\n", + "$MSE_list[[71]][[21]]\n", + "[1] 0.2152021\n", + "\n", + "$MSE_list[[71]][[22]]\n", + "[1] 0.218818\n", + "\n", + "$MSE_list[[71]][[23]]\n", + "[1] 0.2902576\n", + "\n", + "$MSE_list[[71]][[24]]\n", + "[1] 0.3581207\n", + "\n", + "$MSE_list[[71]][[25]]\n", + "[1] 0.1384804\n", + "\n", + "$MSE_list[[71]][[26]]\n", + "[1] 0.1270575\n", + "\n", + "$MSE_list[[71]][[27]]\n", + "[1] 0.2921358\n", + "\n", + "$MSE_list[[71]][[28]]\n", + "[1] 0.1630071\n", + "\n", + "$MSE_list[[71]][[29]]\n", + "[1] 0.19701\n", + "\n", + "$MSE_list[[71]][[30]]\n", + "[1] 0.2285526\n", + "\n", + "$MSE_list[[71]][[31]]\n", + "[1] 0.4200999\n", + "\n", + "$MSE_list[[71]][[32]]\n", + "[1] 0.2021574\n", + "\n", + "$MSE_list[[71]][[33]]\n", + "[1] 0.272639\n", + "\n", + "$MSE_list[[71]][[34]]\n", + "[1] 0.1584059\n", + "\n", + "$MSE_list[[71]][[35]]\n", + "[1] 0.1741784\n", + "\n", + "$MSE_list[[71]][[36]]\n", + "[1] 0.2370203\n", + "\n", + "$MSE_list[[71]][[37]]\n", + "[1] 0.2495143\n", + "\n", + "$MSE_list[[71]][[38]]\n", + "[1] 0.274069\n", + "\n", + "$MSE_list[[71]][[39]]\n", + "[1] 0.1702364\n", + "\n", + "$MSE_list[[71]][[40]]\n", + "[1] 0.2087813\n", + "\n", + "$MSE_list[[71]][[41]]\n", + "[1] 0.3924014\n", + "\n", + "$MSE_list[[71]][[42]]\n", + "[1] 0.1291995\n", + "\n", + "$MSE_list[[71]][[43]]\n", + "[1] 0.2366683\n", + "\n", + "$MSE_list[[71]][[44]]\n", + "[1] 0.1971072\n", + "\n", + "$MSE_list[[71]][[45]]\n", + "[1] 0.3276029\n", + "\n", + "$MSE_list[[71]][[46]]\n", + "[1] 0.3071563\n", + "\n", + "$MSE_list[[71]][[47]]\n", + "[1] 0.2908758\n", + "\n", + "$MSE_list[[71]][[48]]\n", + "[1] 0.2133365\n", + "\n", + "$MSE_list[[71]][[49]]\n", + "[1] 0.2422118\n", + "\n", + "$MSE_list[[71]][[50]]\n", + "[1] 0.2445007\n", + "\n", + "$MSE_list[[71]][[51]]\n", + "[1] 0.324112\n", + "\n", + "$MSE_list[[71]][[52]]\n", + "[1] 0.2245267\n", + "\n", + "$MSE_list[[71]][[53]]\n", + "[1] 0.1585403\n", + "\n", + "$MSE_list[[71]][[54]]\n", + "[1] 0.2243972\n", + "\n", + "$MSE_list[[71]][[55]]\n", + "[1] 0.275988\n", + "\n", + "$MSE_list[[71]][[56]]\n", + "[1] 0.277746\n", + "\n", + "$MSE_list[[71]][[57]]\n", + "[1] 0.2809702\n", + "\n", + "$MSE_list[[71]][[58]]\n", + "[1] 0.1777592\n", + "\n", + "$MSE_list[[71]][[59]]\n", + "[1] 0.2923057\n", + "\n", + "$MSE_list[[71]][[60]]\n", + "[1] 0.1444242\n", + "\n", + "$MSE_list[[71]][[61]]\n", + "[1] 0.1865665\n", + "\n", + "$MSE_list[[71]][[62]]\n", + "[1] 0.08248578\n", + "\n", + "$MSE_list[[71]][[63]]\n", + "[1] 0.3381337\n", + "\n", + "$MSE_list[[71]][[64]]\n", + "[1] 0.241039\n", + "\n", + "$MSE_list[[71]][[65]]\n", + "[1] 0.2823575\n", + "\n", + "$MSE_list[[71]][[66]]\n", + "[1] 0.3357103\n", + "\n", + "$MSE_list[[71]][[67]]\n", + "[1] 0.3169875\n", + "\n", + "$MSE_list[[71]][[68]]\n", + "[1] 0.1281462\n", + "\n", + "$MSE_list[[71]][[69]]\n", + "[1] 0.2504907\n", + "\n", + "$MSE_list[[71]][[70]]\n", + "[1] 0.2662554\n", + "\n", + "$MSE_list[[71]][[71]]\n", + "[1] 0.1944035\n", + "\n", + "$MSE_list[[71]][[72]]\n", + "[1] 0.2590148\n", + "\n", + "$MSE_list[[71]][[73]]\n", + "[1] 0.1613916\n", + "\n", + "$MSE_list[[71]][[74]]\n", + "[1] 0.2758728\n", + "\n", + "$MSE_list[[71]][[75]]\n", + "[1] 0.1162693\n", + "\n", + "$MSE_list[[71]][[76]]\n", + "[1] 0.2517128\n", + "\n", + "$MSE_list[[71]][[77]]\n", + "[1] 0.3222592\n", + "\n", + "$MSE_list[[71]][[78]]\n", + "[1] 0.2065727\n", + "\n", + "$MSE_list[[71]][[79]]\n", + "[1] 0.3499219\n", + "\n", + "$MSE_list[[71]][[80]]\n", + "[1] 0.3300102\n", + "\n", + "$MSE_list[[71]][[81]]\n", + "[1] 0.225067\n", + "\n", + "$MSE_list[[71]][[82]]\n", + "[1] 0.2633118\n", + "\n", + "$MSE_list[[71]][[83]]\n", + "[1] 0.3891783\n", + "\n", + "$MSE_list[[71]][[84]]\n", + "[1] 0.2842332\n", + "\n", + "$MSE_list[[71]][[85]]\n", + "[1] 0.260468\n", + "\n", + "$MSE_list[[71]][[86]]\n", + "[1] 0.1946594\n", + "\n", + "$MSE_list[[71]][[87]]\n", + "[1] 0.2261601\n", + "\n", + "$MSE_list[[71]][[88]]\n", + "[1] 0.2933592\n", + "\n", + "$MSE_list[[71]][[89]]\n", + "[1] 0.2579402\n", + "\n", + "$MSE_list[[71]][[90]]\n", + "[1] 0.3295692\n", + "\n", + "$MSE_list[[71]][[91]]\n", + "[1] 0.3043597\n", + "\n", + "$MSE_list[[71]][[92]]\n", + "[1] 0.3357981\n", + "\n", + "$MSE_list[[71]][[93]]\n", + "[1] 0.1277646\n", + "\n", + "$MSE_list[[71]][[94]]\n", + "[1] 0.2026741\n", + "\n", + "$MSE_list[[71]][[95]]\n", + "[1] 0.2096533\n", + "\n", + "$MSE_list[[71]][[96]]\n", + "[1] 0.3322499\n", + "\n", + "$MSE_list[[71]][[97]]\n", + "[1] 0.2397512\n", + "\n", + "$MSE_list[[71]][[98]]\n", + "[1] 0.283766\n", + "\n", + "$MSE_list[[71]][[99]]\n", + "[1] 0.2377561\n", + "\n", + "$MSE_list[[71]][[100]]\n", + "[1] 0.1550686\n", + "\n", + "\n", + "$MSE_list[[72]]\n", + "$MSE_list[[72]][[1]]\n", + "[1] 0.2998949\n", + "\n", + "$MSE_list[[72]][[2]]\n", + "[1] 0.3538991\n", + "\n", + "$MSE_list[[72]][[3]]\n", + "[1] 0.3251092\n", + "\n", + "$MSE_list[[72]][[4]]\n", + "[1] 0.2767592\n", + "\n", + "$MSE_list[[72]][[5]]\n", + "[1] 0.2595322\n", + "\n", + "$MSE_list[[72]][[6]]\n", + "[1] 0.2640659\n", + "\n", + "$MSE_list[[72]][[7]]\n", + "[1] 0.323856\n", + "\n", + "$MSE_list[[72]][[8]]\n", + "[1] 0.3529706\n", + "\n", + "$MSE_list[[72]][[9]]\n", + "[1] 0.2743995\n", + "\n", + "$MSE_list[[72]][[10]]\n", + "[1] 0.1559387\n", + "\n", + "$MSE_list[[72]][[11]]\n", + "[1] 0.2566868\n", + "\n", + "$MSE_list[[72]][[12]]\n", + "[1] 0.3305664\n", + "\n", + "$MSE_list[[72]][[13]]\n", + "[1] 0.2134868\n", + "\n", + "$MSE_list[[72]][[14]]\n", + "[1] 0.369403\n", + "\n", + "$MSE_list[[72]][[15]]\n", + "[1] 0.3268894\n", + "\n", + "$MSE_list[[72]][[16]]\n", + "[1] 0.2090682\n", + "\n", + "$MSE_list[[72]][[17]]\n", + "[1] 0.1597648\n", + "\n", + "$MSE_list[[72]][[18]]\n", + "[1] 0.2976327\n", + "\n", + "$MSE_list[[72]][[19]]\n", + "[1] 0.2853009\n", + "\n", + "$MSE_list[[72]][[20]]\n", + "[1] 0.2019663\n", + "\n", + "$MSE_list[[72]][[21]]\n", + "[1] 0.3803386\n", + "\n", + "$MSE_list[[72]][[22]]\n", + "[1] 0.2674183\n", + "\n", + "$MSE_list[[72]][[23]]\n", + "[1] 0.280447\n", + "\n", + "$MSE_list[[72]][[24]]\n", + "[1] 0.2578668\n", + "\n", + "$MSE_list[[72]][[25]]\n", + "[1] 0.3215012\n", + "\n", + "$MSE_list[[72]][[26]]\n", + "[1] 0.3170749\n", + "\n", + "$MSE_list[[72]][[27]]\n", + "[1] 0.2626085\n", + "\n", + "$MSE_list[[72]][[28]]\n", + "[1] 0.173975\n", + "\n", + "$MSE_list[[72]][[29]]\n", + "[1] 0.3225009\n", + "\n", + "$MSE_list[[72]][[30]]\n", + "[1] 0.1286399\n", + "\n", + "$MSE_list[[72]][[31]]\n", + "[1] 0.2225424\n", + "\n", + "$MSE_list[[72]][[32]]\n", + "[1] 0.3025856\n", + "\n", + "$MSE_list[[72]][[33]]\n", + "[1] 0.3146652\n", + "\n", + "$MSE_list[[72]][[34]]\n", + "[1] 0.2089463\n", + "\n", + "$MSE_list[[72]][[35]]\n", + "[1] 0.2478213\n", + "\n", + "$MSE_list[[72]][[36]]\n", + "[1] 0.2068972\n", + "\n", + "$MSE_list[[72]][[37]]\n", + "[1] 0.3273886\n", + "\n", + "$MSE_list[[72]][[38]]\n", + "[1] 0.3378841\n", + "\n", + "$MSE_list[[72]][[39]]\n", + "[1] 0.1159586\n", + "\n", + "$MSE_list[[72]][[40]]\n", + "[1] 0.3338509\n", + "\n", + "$MSE_list[[72]][[41]]\n", + "[1] 0.2263441\n", + "\n", + "$MSE_list[[72]][[42]]\n", + "[1] 0.3760969\n", + "\n", + "$MSE_list[[72]][[43]]\n", + "[1] 0.3356151\n", + "\n", + "$MSE_list[[72]][[44]]\n", + "[1] 0.4148918\n", + "\n", + "$MSE_list[[72]][[45]]\n", + "[1] 0.2153532\n", + "\n", + "$MSE_list[[72]][[46]]\n", + "[1] 0.2756294\n", + "\n", + "$MSE_list[[72]][[47]]\n", + "[1] 0.3611039\n", + "\n", + "$MSE_list[[72]][[48]]\n", + "[1] 0.3042301\n", + "\n", + "$MSE_list[[72]][[49]]\n", + "[1] 0.1215893\n", + "\n", + "$MSE_list[[72]][[50]]\n", + "[1] 0.3215568\n", + "\n", + "$MSE_list[[72]][[51]]\n", + "[1] 0.4078111\n", + "\n", + "$MSE_list[[72]][[52]]\n", + "[1] 0.2965641\n", + "\n", + "$MSE_list[[72]][[53]]\n", + "[1] 0.178918\n", + "\n", + "$MSE_list[[72]][[54]]\n", + "[1] 0.329836\n", + "\n", + "$MSE_list[[72]][[55]]\n", + "[1] 0.1953595\n", + "\n", + "$MSE_list[[72]][[56]]\n", + "[1] 0.295632\n", + "\n", + "$MSE_list[[72]][[57]]\n", + "[1] 0.1653257\n", + "\n", + "$MSE_list[[72]][[58]]\n", + "[1] 0.3182092\n", + "\n", + "$MSE_list[[72]][[59]]\n", + "[1] 0.292019\n", + "\n", + "$MSE_list[[72]][[60]]\n", + "[1] 0.3353601\n", + "\n", + "$MSE_list[[72]][[61]]\n", + "[1] 0.1514577\n", + "\n", + "$MSE_list[[72]][[62]]\n", + "[1] 0.28737\n", + "\n", + "$MSE_list[[72]][[63]]\n", + "[1] 0.2196251\n", + "\n", + "$MSE_list[[72]][[64]]\n", + "[1] 0.3539184\n", + "\n", + "$MSE_list[[72]][[65]]\n", + "[1] 0.2770097\n", + "\n", + "$MSE_list[[72]][[66]]\n", + "[1] 0.2415494\n", + "\n", + "$MSE_list[[72]][[67]]\n", + "[1] 0.2557863\n", + "\n", + "$MSE_list[[72]][[68]]\n", + "[1] 0.260681\n", + "\n", + "$MSE_list[[72]][[69]]\n", + "[1] 0.1925699\n", + "\n", + "$MSE_list[[72]][[70]]\n", + "[1] 0.2122637\n", + "\n", + "$MSE_list[[72]][[71]]\n", + "[1] 0.4218616\n", + "\n", + "$MSE_list[[72]][[72]]\n", + "[1] 0.2409793\n", + "\n", + "$MSE_list[[72]][[73]]\n", + "[1] 0.2595389\n", + "\n", + "$MSE_list[[72]][[74]]\n", + "[1] 0.2628103\n", + "\n", + "$MSE_list[[72]][[75]]\n", + "[1] 0.326126\n", + "\n", + "$MSE_list[[72]][[76]]\n", + "[1] 0.2297766\n", + "\n", + "$MSE_list[[72]][[77]]\n", + "[1] 0.3905532\n", + "\n", + "$MSE_list[[72]][[78]]\n", + "[1] 0.1642334\n", + "\n", + "$MSE_list[[72]][[79]]\n", + "[1] 0.2553356\n", + "\n", + "$MSE_list[[72]][[80]]\n", + "[1] 0.2908256\n", + "\n", + "$MSE_list[[72]][[81]]\n", + "[1] 0.2400646\n", + "\n", + "$MSE_list[[72]][[82]]\n", + "[1] 0.2541855\n", + "\n", + "$MSE_list[[72]][[83]]\n", + "[1] 0.3204962\n", + "\n", + "$MSE_list[[72]][[84]]\n", + "[1] 0.2367039\n", + "\n", + "$MSE_list[[72]][[85]]\n", + "[1] 0.2250953\n", + "\n", + "$MSE_list[[72]][[86]]\n", + "[1] 0.2754907\n", + "\n", + "$MSE_list[[72]][[87]]\n", + "[1] 0.2296499\n", + "\n", + "$MSE_list[[72]][[88]]\n", + "[1] 0.2657658\n", + "\n", + "$MSE_list[[72]][[89]]\n", + "[1] 0.1897443\n", + "\n", + "$MSE_list[[72]][[90]]\n", + "[1] 0.131888\n", + "\n", + "$MSE_list[[72]][[91]]\n", + "[1] 0.3549644\n", + "\n", + "$MSE_list[[72]][[92]]\n", + "[1] 0.3816646\n", + "\n", + "$MSE_list[[72]][[93]]\n", + "[1] 0.4633376\n", + "\n", + "$MSE_list[[72]][[94]]\n", + "[1] 0.2497528\n", + "\n", + "$MSE_list[[72]][[95]]\n", + "[1] 0.3075479\n", + "\n", + "$MSE_list[[72]][[96]]\n", + "[1] 0.3274878\n", + "\n", + "$MSE_list[[72]][[97]]\n", + "[1] 0.2670766\n", + "\n", + "$MSE_list[[72]][[98]]\n", + "[1] 0.2502379\n", + "\n", + "$MSE_list[[72]][[99]]\n", + "[1] 0.09831322\n", + "\n", + "$MSE_list[[72]][[100]]\n", + "[1] 0.3864918\n", + "\n", + "\n", + "$MSE_list[[73]]\n", + "$MSE_list[[73]][[1]]\n", + "[1] 0.2013089\n", + "\n", + "$MSE_list[[73]][[2]]\n", + "[1] 0.1834287\n", + "\n", + "$MSE_list[[73]][[3]]\n", + "[1] 0.2512903\n", + "\n", + "$MSE_list[[73]][[4]]\n", + "[1] 0.1809102\n", + "\n", + "$MSE_list[[73]][[5]]\n", + "[1] 0.196062\n", + "\n", + "$MSE_list[[73]][[6]]\n", + "[1] 0.3400272\n", + "\n", + "$MSE_list[[73]][[7]]\n", + "[1] 0.4246743\n", + "\n", + "$MSE_list[[73]][[8]]\n", + "[1] 0.2588935\n", + "\n", + "$MSE_list[[73]][[9]]\n", + "[1] 0.3306178\n", + "\n", + "$MSE_list[[73]][[10]]\n", + "[1] 0.2328534\n", + "\n", + "$MSE_list[[73]][[11]]\n", + "[1] 0.3003209\n", + "\n", + "$MSE_list[[73]][[12]]\n", + "[1] 0.3479491\n", + "\n", + "$MSE_list[[73]][[13]]\n", + "[1] 0.2594889\n", + "\n", + "$MSE_list[[73]][[14]]\n", + "[1] 0.352224\n", + "\n", + "$MSE_list[[73]][[15]]\n", + "[1] 0.1115403\n", + "\n", + "$MSE_list[[73]][[16]]\n", + "[1] 0.3277065\n", + "\n", + "$MSE_list[[73]][[17]]\n", + "[1] 0.2836016\n", + "\n", + "$MSE_list[[73]][[18]]\n", + "[1] 0.1881329\n", + "\n", + "$MSE_list[[73]][[19]]\n", + "[1] 0.3585527\n", + "\n", + "$MSE_list[[73]][[20]]\n", + "[1] 0.276276\n", + "\n", + "$MSE_list[[73]][[21]]\n", + "[1] 0.3773891\n", + "\n", + "$MSE_list[[73]][[22]]\n", + "[1] 0.2702339\n", + "\n", + "$MSE_list[[73]][[23]]\n", + "[1] 0.4436196\n", + "\n", + "$MSE_list[[73]][[24]]\n", + "[1] 0.1979791\n", + "\n", + "$MSE_list[[73]][[25]]\n", + "[1] 0.2304335\n", + "\n", + "$MSE_list[[73]][[26]]\n", + "[1] 0.2389328\n", + "\n", + "$MSE_list[[73]][[27]]\n", + "[1] 0.2579265\n", + "\n", + "$MSE_list[[73]][[28]]\n", + "[1] 0.1395166\n", + "\n", + "$MSE_list[[73]][[29]]\n", + "[1] 0.2179274\n", + "\n", + "$MSE_list[[73]][[30]]\n", + "[1] 0.2508726\n", + "\n", + "$MSE_list[[73]][[31]]\n", + "[1] 0.3208367\n", + "\n", + "$MSE_list[[73]][[32]]\n", + "[1] 0.3127084\n", + "\n", + "$MSE_list[[73]][[33]]\n", + "[1] 0.3059033\n", + "\n", + "$MSE_list[[73]][[34]]\n", + "[1] 0.1135123\n", + "\n", + "$MSE_list[[73]][[35]]\n", + "[1] 0.1495815\n", + "\n", + "$MSE_list[[73]][[36]]\n", + "[1] 0.1243126\n", + "\n", + "$MSE_list[[73]][[37]]\n", + "[1] 0.2519806\n", + "\n", + "$MSE_list[[73]][[38]]\n", + "[1] 0.1742086\n", + "\n", + "$MSE_list[[73]][[39]]\n", + "[1] 0.3077545\n", + "\n", + "$MSE_list[[73]][[40]]\n", + "[1] 0.323805\n", + "\n", + "$MSE_list[[73]][[41]]\n", + "[1] 0.278322\n", + "\n", + "$MSE_list[[73]][[42]]\n", + "[1] 0.2598815\n", + "\n", + "$MSE_list[[73]][[43]]\n", + "[1] 0.3037683\n", + "\n", + "$MSE_list[[73]][[44]]\n", + "[1] 0.2673467\n", + "\n", + "$MSE_list[[73]][[45]]\n", + "[1] 0.340357\n", + "\n", + "$MSE_list[[73]][[46]]\n", + "[1] 0.2841741\n", + "\n", + "$MSE_list[[73]][[47]]\n", + "[1] 0.1417869\n", + "\n", + "$MSE_list[[73]][[48]]\n", + "[1] 0.2569752\n", + "\n", + "$MSE_list[[73]][[49]]\n", + "[1] 0.226563\n", + "\n", + "$MSE_list[[73]][[50]]\n", + "[1] 0.2654803\n", + "\n", + "$MSE_list[[73]][[51]]\n", + "[1] 0.1929511\n", + "\n", + "$MSE_list[[73]][[52]]\n", + "[1] 0.3367662\n", + "\n", + "$MSE_list[[73]][[53]]\n", + "[1] 0.3728733\n", + "\n", + "$MSE_list[[73]][[54]]\n", + "[1] 0.3024532\n", + "\n", + "$MSE_list[[73]][[55]]\n", + "[1] 0.3560611\n", + "\n", + "$MSE_list[[73]][[56]]\n", + "[1] 0.1776482\n", + "\n", + "$MSE_list[[73]][[57]]\n", + "[1] 0.310029\n", + "\n", + "$MSE_list[[73]][[58]]\n", + "[1] 0.1200953\n", + "\n", + "$MSE_list[[73]][[59]]\n", + "[1] 0.3480699\n", + "\n", + "$MSE_list[[73]][[60]]\n", + "[1] 0.2256726\n", + "\n", + "$MSE_list[[73]][[61]]\n", + "[1] 0.223118\n", + "\n", + "$MSE_list[[73]][[62]]\n", + "[1] 0.3545711\n", + "\n", + "$MSE_list[[73]][[63]]\n", + "[1] 0.2432274\n", + "\n", + "$MSE_list[[73]][[64]]\n", + "[1] 0.255946\n", + "\n", + "$MSE_list[[73]][[65]]\n", + "[1] 0.2374485\n", + "\n", + "$MSE_list[[73]][[66]]\n", + "[1] 0.2177253\n", + "\n", + "$MSE_list[[73]][[67]]\n", + "[1] 0.2850198\n", + "\n", + "$MSE_list[[73]][[68]]\n", + "[1] 0.1844099\n", + "\n", + "$MSE_list[[73]][[69]]\n", + "[1] 0.2394257\n", + "\n", + "$MSE_list[[73]][[70]]\n", + "[1] 0.2189493\n", + "\n", + "$MSE_list[[73]][[71]]\n", + "[1] 0.3286901\n", + "\n", + "$MSE_list[[73]][[72]]\n", + "[1] 0.3295081\n", + "\n", + "$MSE_list[[73]][[73]]\n", + "[1] 0.2846333\n", + "\n", + "$MSE_list[[73]][[74]]\n", + "[1] 0.3386193\n", + "\n", + "$MSE_list[[73]][[75]]\n", + "[1] 0.1735283\n", + "\n", + "$MSE_list[[73]][[76]]\n", + "[1] 0.3006471\n", + "\n", + "$MSE_list[[73]][[77]]\n", + "[1] 0.1059218\n", + "\n", + "$MSE_list[[73]][[78]]\n", + "[1] 0.3008818\n", + "\n", + "$MSE_list[[73]][[79]]\n", + "[1] 0.3168161\n", + "\n", + "$MSE_list[[73]][[80]]\n", + "[1] 0.3479295\n", + "\n", + "$MSE_list[[73]][[81]]\n", + "[1] 0.1968304\n", + "\n", + "$MSE_list[[73]][[82]]\n", + "[1] 0.2336895\n", + "\n", + "$MSE_list[[73]][[83]]\n", + "[1] 0.2839715\n", + "\n", + "$MSE_list[[73]][[84]]\n", + "[1] 0.2443399\n", + "\n", + "$MSE_list[[73]][[85]]\n", + "[1] 0.2444\n", + "\n", + "$MSE_list[[73]][[86]]\n", + "[1] 0.3134302\n", + "\n", + "$MSE_list[[73]][[87]]\n", + "[1] 0.3563131\n", + "\n", + "$MSE_list[[73]][[88]]\n", + "[1] 0.2715432\n", + "\n", + "$MSE_list[[73]][[89]]\n", + "[1] 0.07986434\n", + "\n", + "$MSE_list[[73]][[90]]\n", + "[1] 0.1800943\n", + "\n", + "$MSE_list[[73]][[91]]\n", + "[1] 0.1749314\n", + "\n", + "$MSE_list[[73]][[92]]\n", + "[1] 0.08681325\n", + "\n", + "$MSE_list[[73]][[93]]\n", + "[1] 0.2762665\n", + "\n", + "$MSE_list[[73]][[94]]\n", + "[1] 0.1746176\n", + "\n", + "$MSE_list[[73]][[95]]\n", + "[1] 0.2585858\n", + "\n", + "$MSE_list[[73]][[96]]\n", + "[1] 0.3270228\n", + "\n", + "$MSE_list[[73]][[97]]\n", + "[1] 0.2073956\n", + "\n", + "$MSE_list[[73]][[98]]\n", + "[1] 0.3314273\n", + "\n", + "$MSE_list[[73]][[99]]\n", + "[1] 0.2769362\n", + "\n", + "$MSE_list[[73]][[100]]\n", + "[1] 0.2811506\n", + "\n", + "\n", + "$MSE_list[[74]]\n", + "$MSE_list[[74]][[1]]\n", + "[1] 0.3341514\n", + "\n", + "$MSE_list[[74]][[2]]\n", + "[1] 0.2813718\n", + "\n", + "$MSE_list[[74]][[3]]\n", + "[1] 0.2353852\n", + "\n", + "$MSE_list[[74]][[4]]\n", + "[1] 0.3565174\n", + "\n", + "$MSE_list[[74]][[5]]\n", + "[1] 0.3234367\n", + "\n", + "$MSE_list[[74]][[6]]\n", + "[1] 0.2147719\n", + "\n", + "$MSE_list[[74]][[7]]\n", + "[1] 0.3891063\n", + "\n", + "$MSE_list[[74]][[8]]\n", + "[1] 0.1504688\n", + "\n", + "$MSE_list[[74]][[9]]\n", + "[1] 0.20141\n", + "\n", + "$MSE_list[[74]][[10]]\n", + "[1] 0.2496066\n", + "\n", + "$MSE_list[[74]][[11]]\n", + "[1] 0.2615678\n", + "\n", + "$MSE_list[[74]][[12]]\n", + "[1] 0.2345691\n", + "\n", + "$MSE_list[[74]][[13]]\n", + "[1] 0.333254\n", + "\n", + "$MSE_list[[74]][[14]]\n", + "[1] 0.2119529\n", + "\n", + "$MSE_list[[74]][[15]]\n", + "[1] 0.1740349\n", + "\n", + "$MSE_list[[74]][[16]]\n", + "[1] 0.3454127\n", + "\n", + "$MSE_list[[74]][[17]]\n", + "[1] 0.2379184\n", + "\n", + "$MSE_list[[74]][[18]]\n", + "[1] 0.2427497\n", + "\n", + "$MSE_list[[74]][[19]]\n", + "[1] 0.1602508\n", + "\n", + "$MSE_list[[74]][[20]]\n", + "[1] 0.340222\n", + "\n", + "$MSE_list[[74]][[21]]\n", + "[1] 0.1794633\n", + "\n", + "$MSE_list[[74]][[22]]\n", + "[1] 0.1362862\n", + "\n", + "$MSE_list[[74]][[23]]\n", + "[1] 0.1680882\n", + "\n", + "$MSE_list[[74]][[24]]\n", + "[1] 0.1478847\n", + "\n", + "$MSE_list[[74]][[25]]\n", + "[1] 0.2974042\n", + "\n", + "$MSE_list[[74]][[26]]\n", + "[1] 0.2314805\n", + "\n", + "$MSE_list[[74]][[27]]\n", + "[1] 0.3335715\n", + "\n", + "$MSE_list[[74]][[28]]\n", + "[1] 0.1120785\n", + "\n", + "$MSE_list[[74]][[29]]\n", + "[1] 0.1392475\n", + "\n", + "$MSE_list[[74]][[30]]\n", + "[1] 0.25311\n", + "\n", + "$MSE_list[[74]][[31]]\n", + "[1] 0.2814644\n", + "\n", + "$MSE_list[[74]][[32]]\n", + "[1] 0.1579137\n", + "\n", + "$MSE_list[[74]][[33]]\n", + "[1] 0.3269941\n", + "\n", + "$MSE_list[[74]][[34]]\n", + "[1] 0.2698456\n", + "\n", + "$MSE_list[[74]][[35]]\n", + "[1] 0.1903237\n", + "\n", + "$MSE_list[[74]][[36]]\n", + "[1] 0.1756016\n", + "\n", + "$MSE_list[[74]][[37]]\n", + "[1] 0.1972478\n", + "\n", + "$MSE_list[[74]][[38]]\n", + "[1] 0.3355083\n", + "\n", + "$MSE_list[[74]][[39]]\n", + "[1] 0.2528216\n", + "\n", + "$MSE_list[[74]][[40]]\n", + "[1] 0.1756747\n", + "\n", + "$MSE_list[[74]][[41]]\n", + "[1] 0.2783555\n", + "\n", + "$MSE_list[[74]][[42]]\n", + "[1] 0.3490206\n", + "\n", + "$MSE_list[[74]][[43]]\n", + "[1] 0.3030863\n", + "\n", + "$MSE_list[[74]][[44]]\n", + "[1] 0.4387561\n", + "\n", + "$MSE_list[[74]][[45]]\n", + "[1] 0.2359469\n", + "\n", + "$MSE_list[[74]][[46]]\n", + "[1] 0.3029296\n", + "\n", + "$MSE_list[[74]][[47]]\n", + "[1] 0.2660056\n", + "\n", + "$MSE_list[[74]][[48]]\n", + "[1] 0.3481671\n", + "\n", + "$MSE_list[[74]][[49]]\n", + "[1] 0.3407487\n", + "\n", + "$MSE_list[[74]][[50]]\n", + "[1] 0.3735927\n", + "\n", + "$MSE_list[[74]][[51]]\n", + "[1] 0.3399914\n", + "\n", + "$MSE_list[[74]][[52]]\n", + "[1] 0.2625055\n", + "\n", + "$MSE_list[[74]][[53]]\n", + "[1] 0.2266616\n", + "\n", + "$MSE_list[[74]][[54]]\n", + "[1] 0.2534301\n", + "\n", + "$MSE_list[[74]][[55]]\n", + "[1] 0.4841661\n", + "\n", + "$MSE_list[[74]][[56]]\n", + "[1] 0.3057067\n", + "\n", + "$MSE_list[[74]][[57]]\n", + "[1] 0.3925651\n", + "\n", + "$MSE_list[[74]][[58]]\n", + "[1] 0.2423129\n", + "\n", + "$MSE_list[[74]][[59]]\n", + "[1] 0.2375941\n", + "\n", + "$MSE_list[[74]][[60]]\n", + "[1] 0.3352252\n", + "\n", + "$MSE_list[[74]][[61]]\n", + "[1] 0.1927286\n", + "\n", + "$MSE_list[[74]][[62]]\n", + "[1] 0.3680038\n", + "\n", + "$MSE_list[[74]][[63]]\n", + "[1] 0.285957\n", + "\n", + "$MSE_list[[74]][[64]]\n", + "[1] 0.1536103\n", + "\n", + "$MSE_list[[74]][[65]]\n", + "[1] 0.2260811\n", + "\n", + "$MSE_list[[74]][[66]]\n", + "[1] 0.2459498\n", + "\n", + "$MSE_list[[74]][[67]]\n", + "[1] 0.3271798\n", + "\n", + "$MSE_list[[74]][[68]]\n", + "[1] 0.3290981\n", + "\n", + "$MSE_list[[74]][[69]]\n", + "[1] 0.2567609\n", + "\n", + "$MSE_list[[74]][[70]]\n", + "[1] 0.192902\n", + "\n", + "$MSE_list[[74]][[71]]\n", + "[1] 0.2661512\n", + "\n", + "$MSE_list[[74]][[72]]\n", + "[1] 0.264395\n", + "\n", + "$MSE_list[[74]][[73]]\n", + "[1] 0.2863039\n", + "\n", + "$MSE_list[[74]][[74]]\n", + "[1] 0.3737506\n", + "\n", + "$MSE_list[[74]][[75]]\n", + "[1] 0.3885124\n", + "\n", + "$MSE_list[[74]][[76]]\n", + "[1] 0.2180732\n", + "\n", + "$MSE_list[[74]][[77]]\n", + "[1] 0.3170924\n", + "\n", + "$MSE_list[[74]][[78]]\n", + "[1] 0.2624591\n", + "\n", + "$MSE_list[[74]][[79]]\n", + "[1] 0.3825481\n", + "\n", + "$MSE_list[[74]][[80]]\n", + "[1] 0.4086655\n", + "\n", + "$MSE_list[[74]][[81]]\n", + "[1] 0.3009949\n", + "\n", + "$MSE_list[[74]][[82]]\n", + "[1] 0.3148857\n", + "\n", + "$MSE_list[[74]][[83]]\n", + "[1] 0.2694126\n", + "\n", + "$MSE_list[[74]][[84]]\n", + "[1] 0.2224852\n", + "\n", + "$MSE_list[[74]][[85]]\n", + "[1] 0.2353976\n", + "\n", + "$MSE_list[[74]][[86]]\n", + "[1] 0.198174\n", + "\n", + "$MSE_list[[74]][[87]]\n", + "[1] 0.2318174\n", + "\n", + "$MSE_list[[74]][[88]]\n", + "[1] 0.2096797\n", + "\n", + "$MSE_list[[74]][[89]]\n", + "[1] 0.2049824\n", + "\n", + "$MSE_list[[74]][[90]]\n", + "[1] 0.2838352\n", + "\n", + "$MSE_list[[74]][[91]]\n", + "[1] 0.2380631\n", + "\n", + "$MSE_list[[74]][[92]]\n", + "[1] 0.246083\n", + "\n", + "$MSE_list[[74]][[93]]\n", + "[1] 0.2474315\n", + "\n", + "$MSE_list[[74]][[94]]\n", + "[1] 0.1940521\n", + "\n", + "$MSE_list[[74]][[95]]\n", + "[1] 0.4164869\n", + "\n", + "$MSE_list[[74]][[96]]\n", + "[1] 0.2888227\n", + "\n", + "$MSE_list[[74]][[97]]\n", + "[1] 0.1715196\n", + "\n", + "$MSE_list[[74]][[98]]\n", + "[1] 0.2688744\n", + "\n", + "$MSE_list[[74]][[99]]\n", + "[1] 0.4517677\n", + "\n", + "$MSE_list[[74]][[100]]\n", + "[1] 0.2860834\n", + "\n", + "\n", + "$MSE_list[[75]]\n", + "$MSE_list[[75]][[1]]\n", + "[1] 0.3315606\n", + "\n", + "$MSE_list[[75]][[2]]\n", + "[1] 0.1782048\n", + "\n", + "$MSE_list[[75]][[3]]\n", + "[1] 0.2752875\n", + "\n", + "$MSE_list[[75]][[4]]\n", + "[1] 0.204483\n", + "\n", + "$MSE_list[[75]][[5]]\n", + "[1] 0.4009718\n", + "\n", + "$MSE_list[[75]][[6]]\n", + "[1] 0.2676275\n", + "\n", + "$MSE_list[[75]][[7]]\n", + "[1] 0.2112641\n", + "\n", + "$MSE_list[[75]][[8]]\n", + "[1] 0.2133961\n", + "\n", + "$MSE_list[[75]][[9]]\n", + "[1] 0.353064\n", + "\n", + "$MSE_list[[75]][[10]]\n", + "[1] 0.2325228\n", + "\n", + "$MSE_list[[75]][[11]]\n", + "[1] 0.3839083\n", + "\n", + "$MSE_list[[75]][[12]]\n", + "[1] 0.2409068\n", + "\n", + "$MSE_list[[75]][[13]]\n", + "[1] 0.1810856\n", + "\n", + "$MSE_list[[75]][[14]]\n", + "[1] 0.2259719\n", + "\n", + "$MSE_list[[75]][[15]]\n", + "[1] 0.2286563\n", + "\n", + "$MSE_list[[75]][[16]]\n", + "[1] 0.149157\n", + "\n", + "$MSE_list[[75]][[17]]\n", + "[1] 0.2371008\n", + "\n", + "$MSE_list[[75]][[18]]\n", + "[1] 0.2588359\n", + "\n", + "$MSE_list[[75]][[19]]\n", + "[1] 0.2823955\n", + "\n", + "$MSE_list[[75]][[20]]\n", + "[1] 0.3145971\n", + "\n", + "$MSE_list[[75]][[21]]\n", + "[1] 0.3469802\n", + "\n", + "$MSE_list[[75]][[22]]\n", + "[1] 0.360702\n", + "\n", + "$MSE_list[[75]][[23]]\n", + "[1] 0.4565989\n", + "\n", + "$MSE_list[[75]][[24]]\n", + "[1] 0.3185115\n", + "\n", + "$MSE_list[[75]][[25]]\n", + "[1] 0.2748876\n", + "\n", + "$MSE_list[[75]][[26]]\n", + "[1] 0.2846154\n", + "\n", + "$MSE_list[[75]][[27]]\n", + "[1] 0.3840843\n", + "\n", + "$MSE_list[[75]][[28]]\n", + "[1] 0.3625254\n", + "\n", + "$MSE_list[[75]][[29]]\n", + "[1] 0.1339171\n", + "\n", + "$MSE_list[[75]][[30]]\n", + "[1] 0.3264761\n", + "\n", + "$MSE_list[[75]][[31]]\n", + "[1] 0.2656169\n", + "\n", + "$MSE_list[[75]][[32]]\n", + "[1] 0.3164696\n", + "\n", + "$MSE_list[[75]][[33]]\n", + "[1] 0.2832012\n", + "\n", + "$MSE_list[[75]][[34]]\n", + "[1] 0.4287998\n", + "\n", + "$MSE_list[[75]][[35]]\n", + "[1] 0.2448353\n", + "\n", + "$MSE_list[[75]][[36]]\n", + "[1] 0.4378379\n", + "\n", + "$MSE_list[[75]][[37]]\n", + "[1] 0.2790179\n", + "\n", + "$MSE_list[[75]][[38]]\n", + "[1] 0.1422331\n", + "\n", + "$MSE_list[[75]][[39]]\n", + "[1] 0.2944454\n", + "\n", + "$MSE_list[[75]][[40]]\n", + "[1] 0.2762529\n", + "\n", + "$MSE_list[[75]][[41]]\n", + "[1] 0.4604947\n", + "\n", + "$MSE_list[[75]][[42]]\n", + "[1] 0.4161088\n", + "\n", + "$MSE_list[[75]][[43]]\n", + "[1] 0.2119532\n", + "\n", + "$MSE_list[[75]][[44]]\n", + "[1] 0.3815023\n", + "\n", + "$MSE_list[[75]][[45]]\n", + "[1] 0.2729664\n", + "\n", + "$MSE_list[[75]][[46]]\n", + "[1] 0.2416427\n", + "\n", + "$MSE_list[[75]][[47]]\n", + "[1] 0.28713\n", + "\n", + "$MSE_list[[75]][[48]]\n", + "[1] 0.3796654\n", + "\n", + "$MSE_list[[75]][[49]]\n", + "[1] 0.1952342\n", + "\n", + "$MSE_list[[75]][[50]]\n", + "[1] 0.1319435\n", + "\n", + "$MSE_list[[75]][[51]]\n", + "[1] 0.1751125\n", + "\n", + "$MSE_list[[75]][[52]]\n", + "[1] 0.2236237\n", + "\n", + "$MSE_list[[75]][[53]]\n", + "[1] 0.2966135\n", + "\n", + "$MSE_list[[75]][[54]]\n", + "[1] 0.2654932\n", + "\n", + "$MSE_list[[75]][[55]]\n", + "[1] 0.2997889\n", + "\n", + "$MSE_list[[75]][[56]]\n", + "[1] 0.328016\n", + "\n", + "$MSE_list[[75]][[57]]\n", + "[1] 0.3328233\n", + "\n", + "$MSE_list[[75]][[58]]\n", + "[1] 0.2849212\n", + "\n", + "$MSE_list[[75]][[59]]\n", + "[1] 0.222111\n", + "\n", + "$MSE_list[[75]][[60]]\n", + "[1] 0.2234622\n", + "\n", + "$MSE_list[[75]][[61]]\n", + "[1] 0.2861251\n", + "\n", + "$MSE_list[[75]][[62]]\n", + "[1] 0.1822303\n", + "\n", + "$MSE_list[[75]][[63]]\n", + "[1] 0.2859262\n", + "\n", + "$MSE_list[[75]][[64]]\n", + "[1] 0.2851777\n", + "\n", + "$MSE_list[[75]][[65]]\n", + "[1] 0.2135351\n", + "\n", + "$MSE_list[[75]][[66]]\n", + "[1] 0.1759798\n", + "\n", + "$MSE_list[[75]][[67]]\n", + "[1] 0.3414441\n", + "\n", + "$MSE_list[[75]][[68]]\n", + "[1] 0.3002344\n", + "\n", + "$MSE_list[[75]][[69]]\n", + "[1] 0.121053\n", + "\n", + "$MSE_list[[75]][[70]]\n", + "[1] 0.3291088\n", + "\n", + "$MSE_list[[75]][[71]]\n", + "[1] 0.2310288\n", + "\n", + "$MSE_list[[75]][[72]]\n", + "[1] 0.3507247\n", + "\n", + "$MSE_list[[75]][[73]]\n", + "[1] 0.2741332\n", + "\n", + "$MSE_list[[75]][[74]]\n", + "[1] 0.2909558\n", + "\n", + "$MSE_list[[75]][[75]]\n", + "[1] 0.3246021\n", + "\n", + "$MSE_list[[75]][[76]]\n", + "[1] 0.2241157\n", + "\n", + "$MSE_list[[75]][[77]]\n", + "[1] 0.3502058\n", + "\n", + "$MSE_list[[75]][[78]]\n", + "[1] 0.3048768\n", + "\n", + "$MSE_list[[75]][[79]]\n", + "[1] 0.2626597\n", + "\n", + "$MSE_list[[75]][[80]]\n", + "[1] 0.2246458\n", + "\n", + "$MSE_list[[75]][[81]]\n", + "[1] 0.1921137\n", + "\n", + "$MSE_list[[75]][[82]]\n", + "[1] 0.3197186\n", + "\n", + "$MSE_list[[75]][[83]]\n", + "[1] 0.2577956\n", + "\n", + "$MSE_list[[75]][[84]]\n", + "[1] 0.294584\n", + "\n", + "$MSE_list[[75]][[85]]\n", + "[1] 0.2727581\n", + "\n", + "$MSE_list[[75]][[86]]\n", + "[1] 0.1781102\n", + "\n", + "$MSE_list[[75]][[87]]\n", + "[1] 0.3178796\n", + "\n", + "$MSE_list[[75]][[88]]\n", + "[1] 0.3361375\n", + "\n", + "$MSE_list[[75]][[89]]\n", + "[1] 0.3037208\n", + "\n", + "$MSE_list[[75]][[90]]\n", + "[1] 0.2501162\n", + "\n", + "$MSE_list[[75]][[91]]\n", + "[1] 0.2559784\n", + "\n", + "$MSE_list[[75]][[92]]\n", + "[1] 0.309572\n", + "\n", + "$MSE_list[[75]][[93]]\n", + "[1] 0.3192996\n", + "\n", + "$MSE_list[[75]][[94]]\n", + "[1] 0.2545947\n", + "\n", + "$MSE_list[[75]][[95]]\n", + "[1] 0.2802487\n", + "\n", + "$MSE_list[[75]][[96]]\n", + "[1] 0.2636805\n", + "\n", + "$MSE_list[[75]][[97]]\n", + "[1] 0.2659512\n", + "\n", + "$MSE_list[[75]][[98]]\n", + "[1] 0.3102595\n", + "\n", + "$MSE_list[[75]][[99]]\n", + "[1] 0.1291194\n", + "\n", + "$MSE_list[[75]][[100]]\n", + "[1] 0.436137\n", + "\n", + "\n", + "$MSE_list[[76]]\n", + "$MSE_list[[76]][[1]]\n", + "[1] 0.1818445\n", + "\n", + "$MSE_list[[76]][[2]]\n", + "[1] 0.2819936\n", + "\n", + "$MSE_list[[76]][[3]]\n", + "[1] 0.2730007\n", + "\n", + "$MSE_list[[76]][[4]]\n", + "[1] 0.2834252\n", + "\n", + "$MSE_list[[76]][[5]]\n", + "[1] 0.2926059\n", + "\n", + "$MSE_list[[76]][[6]]\n", + "[1] 0.1198208\n", + "\n", + "$MSE_list[[76]][[7]]\n", + "[1] 0.1416354\n", + "\n", + "$MSE_list[[76]][[8]]\n", + "[1] 0.2745184\n", + "\n", + "$MSE_list[[76]][[9]]\n", + "[1] 0.2089138\n", + "\n", + "$MSE_list[[76]][[10]]\n", + "[1] 0.2017505\n", + "\n", + "$MSE_list[[76]][[11]]\n", + "[1] 0.178262\n", + "\n", + "$MSE_list[[76]][[12]]\n", + "[1] 0.2854107\n", + "\n", + "$MSE_list[[76]][[13]]\n", + "[1] 0.2301032\n", + "\n", + "$MSE_list[[76]][[14]]\n", + "[1] 0.2510229\n", + "\n", + "$MSE_list[[76]][[15]]\n", + "[1] 0.3937453\n", + "\n", + "$MSE_list[[76]][[16]]\n", + "[1] 0.2232797\n", + "\n", + "$MSE_list[[76]][[17]]\n", + "[1] 0.37931\n", + "\n", + "$MSE_list[[76]][[18]]\n", + "[1] 0.3565624\n", + "\n", + "$MSE_list[[76]][[19]]\n", + "[1] 0.3216647\n", + "\n", + "$MSE_list[[76]][[20]]\n", + "[1] 0.1954827\n", + "\n", + "$MSE_list[[76]][[21]]\n", + "[1] 0.3661139\n", + "\n", + "$MSE_list[[76]][[22]]\n", + "[1] 0.2185221\n", + "\n", + "$MSE_list[[76]][[23]]\n", + "[1] 0.1033928\n", + "\n", + "$MSE_list[[76]][[24]]\n", + "[1] 0.2494915\n", + "\n", + "$MSE_list[[76]][[25]]\n", + "[1] 0.1122788\n", + "\n", + "$MSE_list[[76]][[26]]\n", + "[1] 0.1334946\n", + "\n", + "$MSE_list[[76]][[27]]\n", + "[1] 0.1849173\n", + "\n", + "$MSE_list[[76]][[28]]\n", + "[1] 0.3157472\n", + "\n", + "$MSE_list[[76]][[29]]\n", + "[1] 0.230638\n", + "\n", + "$MSE_list[[76]][[30]]\n", + "[1] 0.3375096\n", + "\n", + "$MSE_list[[76]][[31]]\n", + "[1] 0.2791162\n", + "\n", + "$MSE_list[[76]][[32]]\n", + "[1] 0.185529\n", + "\n", + "$MSE_list[[76]][[33]]\n", + "[1] 0.2445356\n", + "\n", + "$MSE_list[[76]][[34]]\n", + "[1] 0.2659332\n", + "\n", + "$MSE_list[[76]][[35]]\n", + "[1] 0.2948875\n", + "\n", + "$MSE_list[[76]][[36]]\n", + "[1] 0.21982\n", + "\n", + "$MSE_list[[76]][[37]]\n", + "[1] 0.2629701\n", + "\n", + "$MSE_list[[76]][[38]]\n", + "[1] 0.2117207\n", + "\n", + "$MSE_list[[76]][[39]]\n", + "[1] 0.1934695\n", + "\n", + "$MSE_list[[76]][[40]]\n", + "[1] 0.297131\n", + "\n", + "$MSE_list[[76]][[41]]\n", + "[1] 0.3374246\n", + "\n", + "$MSE_list[[76]][[42]]\n", + "[1] 0.1949463\n", + "\n", + "$MSE_list[[76]][[43]]\n", + "[1] 0.2040867\n", + "\n", + "$MSE_list[[76]][[44]]\n", + "[1] 0.2104396\n", + "\n", + "$MSE_list[[76]][[45]]\n", + "[1] 0.1348222\n", + "\n", + "$MSE_list[[76]][[46]]\n", + "[1] 0.1653626\n", + "\n", + "$MSE_list[[76]][[47]]\n", + "[1] 0.2706308\n", + "\n", + "$MSE_list[[76]][[48]]\n", + "[1] 0.2718975\n", + "\n", + "$MSE_list[[76]][[49]]\n", + "[1] 0.203604\n", + "\n", + "$MSE_list[[76]][[50]]\n", + "[1] 0.2428284\n", + "\n", + "$MSE_list[[76]][[51]]\n", + "[1] 0.1570862\n", + "\n", + "$MSE_list[[76]][[52]]\n", + "[1] 0.2667751\n", + "\n", + "$MSE_list[[76]][[53]]\n", + "[1] 0.2875162\n", + "\n", + "$MSE_list[[76]][[54]]\n", + "[1] 0.2820462\n", + "\n", + "$MSE_list[[76]][[55]]\n", + "[1] 0.310083\n", + "\n", + "$MSE_list[[76]][[56]]\n", + "[1] 0.2739249\n", + "\n", + "$MSE_list[[76]][[57]]\n", + "[1] 0.1558966\n", + "\n", + "$MSE_list[[76]][[58]]\n", + "[1] 0.101397\n", + "\n", + "$MSE_list[[76]][[59]]\n", + "[1] 0.2818863\n", + "\n", + "$MSE_list[[76]][[60]]\n", + "[1] 0.3539365\n", + "\n", + "$MSE_list[[76]][[61]]\n", + "[1] 0.2906696\n", + "\n", + "$MSE_list[[76]][[62]]\n", + "[1] 0.2474178\n", + "\n", + "$MSE_list[[76]][[63]]\n", + "[1] 0.08916075\n", + "\n", + "$MSE_list[[76]][[64]]\n", + "[1] 0.2389583\n", + "\n", + "$MSE_list[[76]][[65]]\n", + "[1] 0.2267247\n", + "\n", + "$MSE_list[[76]][[66]]\n", + "[1] 0.1278211\n", + "\n", + "$MSE_list[[76]][[67]]\n", + "[1] 0.2568878\n", + "\n", + "$MSE_list[[76]][[68]]\n", + "[1] 0.1528589\n", + "\n", + "$MSE_list[[76]][[69]]\n", + "[1] 0.3675356\n", + "\n", + "$MSE_list[[76]][[70]]\n", + "[1] 0.3801126\n", + "\n", + "$MSE_list[[76]][[71]]\n", + "[1] 0.4225453\n", + "\n", + "$MSE_list[[76]][[72]]\n", + "[1] 0.2615482\n", + "\n", + "$MSE_list[[76]][[73]]\n", + "[1] 0.2521862\n", + "\n", + "$MSE_list[[76]][[74]]\n", + "[1] 0.2210426\n", + "\n", + "$MSE_list[[76]][[75]]\n", + "[1] 0.1929248\n", + "\n", + "$MSE_list[[76]][[76]]\n", + "[1] 0.2945428\n", + "\n", + "$MSE_list[[76]][[77]]\n", + "[1] 0.305562\n", + "\n", + "$MSE_list[[76]][[78]]\n", + "[1] 0.2924557\n", + "\n", + "$MSE_list[[76]][[79]]\n", + "[1] 0.1302627\n", + "\n", + "$MSE_list[[76]][[80]]\n", + "[1] 0.04689177\n", + "\n", + "$MSE_list[[76]][[81]]\n", + "[1] 0.3041319\n", + "\n", + "$MSE_list[[76]][[82]]\n", + "[1] 0.2310591\n", + "\n", + "$MSE_list[[76]][[83]]\n", + "[1] 0.3580868\n", + "\n", + "$MSE_list[[76]][[84]]\n", + "[1] 0.1833927\n", + "\n", + "$MSE_list[[76]][[85]]\n", + "[1] 0.2081087\n", + "\n", + "$MSE_list[[76]][[86]]\n", + "[1] 0.2839316\n", + "\n", + "$MSE_list[[76]][[87]]\n", + "[1] 0.2754408\n", + "\n", + "$MSE_list[[76]][[88]]\n", + "[1] 0.3003701\n", + "\n", + "$MSE_list[[76]][[89]]\n", + "[1] 0.178193\n", + "\n", + "$MSE_list[[76]][[90]]\n", + "[1] 0.2782316\n", + "\n", + "$MSE_list[[76]][[91]]\n", + "[1] 0.3842887\n", + "\n", + "$MSE_list[[76]][[92]]\n", + "[1] 0.2962455\n", + "\n", + "$MSE_list[[76]][[93]]\n", + "[1] 0.3601668\n", + "\n", + "$MSE_list[[76]][[94]]\n", + "[1] 0.2275708\n", + "\n", + "$MSE_list[[76]][[95]]\n", + "[1] 0.1058773\n", + "\n", + "$MSE_list[[76]][[96]]\n", + "[1] 0.2460732\n", + "\n", + "$MSE_list[[76]][[97]]\n", + "[1] 0.3722099\n", + "\n", + "$MSE_list[[76]][[98]]\n", + "[1] 0.2546883\n", + "\n", + "$MSE_list[[76]][[99]]\n", + "[1] 0.2051828\n", + "\n", + "$MSE_list[[76]][[100]]\n", + "[1] 0.2119481\n", + "\n", + "\n", + "$MSE_list[[77]]\n", + "$MSE_list[[77]][[1]]\n", + "[1] 0.4174281\n", + "\n", + "$MSE_list[[77]][[2]]\n", + "[1] 0.1740061\n", + "\n", + "$MSE_list[[77]][[3]]\n", + "[1] 0.2708435\n", + "\n", + "$MSE_list[[77]][[4]]\n", + "[1] 0.291765\n", + "\n", + "$MSE_list[[77]][[5]]\n", + "[1] 0.1848125\n", + "\n", + "$MSE_list[[77]][[6]]\n", + "[1] 0.1834266\n", + "\n", + "$MSE_list[[77]][[7]]\n", + "[1] 0.2233778\n", + "\n", + "$MSE_list[[77]][[8]]\n", + "[1] 0.1840139\n", + "\n", + "$MSE_list[[77]][[9]]\n", + "[1] 0.2349732\n", + "\n", + "$MSE_list[[77]][[10]]\n", + "[1] 0.1405395\n", + "\n", + "$MSE_list[[77]][[11]]\n", + "[1] 0.1965291\n", + "\n", + "$MSE_list[[77]][[12]]\n", + "[1] 0.4072113\n", + "\n", + "$MSE_list[[77]][[13]]\n", + "[1] 0.2402291\n", + "\n", + "$MSE_list[[77]][[14]]\n", + "[1] 0.3147689\n", + "\n", + "$MSE_list[[77]][[15]]\n", + "[1] 0.4166621\n", + "\n", + "$MSE_list[[77]][[16]]\n", + "[1] 0.3073301\n", + "\n", + "$MSE_list[[77]][[17]]\n", + "[1] 0.252461\n", + "\n", + "$MSE_list[[77]][[18]]\n", + "[1] 0.2745811\n", + "\n", + "$MSE_list[[77]][[19]]\n", + "[1] 0.2973448\n", + "\n", + "$MSE_list[[77]][[20]]\n", + "[1] 0.2720939\n", + "\n", + "$MSE_list[[77]][[21]]\n", + "[1] 0.1826256\n", + "\n", + "$MSE_list[[77]][[22]]\n", + "[1] 0.2366746\n", + "\n", + "$MSE_list[[77]][[23]]\n", + "[1] 0.1737855\n", + "\n", + "$MSE_list[[77]][[24]]\n", + "[1] 0.2498274\n", + "\n", + "$MSE_list[[77]][[25]]\n", + "[1] 0.4335143\n", + "\n", + "$MSE_list[[77]][[26]]\n", + "[1] 0.226015\n", + "\n", + "$MSE_list[[77]][[27]]\n", + "[1] 0.2910541\n", + "\n", + "$MSE_list[[77]][[28]]\n", + "[1] 0.4599233\n", + "\n", + "$MSE_list[[77]][[29]]\n", + "[1] 0.4720885\n", + "\n", + "$MSE_list[[77]][[30]]\n", + "[1] 0.2862564\n", + "\n", + "$MSE_list[[77]][[31]]\n", + "[1] 0.2785799\n", + "\n", + "$MSE_list[[77]][[32]]\n", + "[1] 0.3149224\n", + "\n", + "$MSE_list[[77]][[33]]\n", + "[1] 0.1765573\n", + "\n", + "$MSE_list[[77]][[34]]\n", + "[1] 0.3349776\n", + "\n", + "$MSE_list[[77]][[35]]\n", + "[1] 0.1998167\n", + "\n", + "$MSE_list[[77]][[36]]\n", + "[1] 0.2782607\n", + "\n", + "$MSE_list[[77]][[37]]\n", + "[1] 0.3765417\n", + "\n", + "$MSE_list[[77]][[38]]\n", + "[1] 0.3252284\n", + "\n", + "$MSE_list[[77]][[39]]\n", + "[1] 0.216221\n", + "\n", + "$MSE_list[[77]][[40]]\n", + "[1] 0.2814492\n", + "\n", + "$MSE_list[[77]][[41]]\n", + "[1] 0.2902101\n", + "\n", + "$MSE_list[[77]][[42]]\n", + "[1] 0.2932886\n", + "\n", + "$MSE_list[[77]][[43]]\n", + "[1] 0.3101687\n", + "\n", + "$MSE_list[[77]][[44]]\n", + "[1] 0.2709436\n", + "\n", + "$MSE_list[[77]][[45]]\n", + "[1] 0.3279305\n", + "\n", + "$MSE_list[[77]][[46]]\n", + "[1] 0.2428136\n", + "\n", + "$MSE_list[[77]][[47]]\n", + "[1] 0.1738893\n", + "\n", + "$MSE_list[[77]][[48]]\n", + "[1] 0.2394962\n", + "\n", + "$MSE_list[[77]][[49]]\n", + "[1] 0.3469899\n", + "\n", + "$MSE_list[[77]][[50]]\n", + "[1] 0.4372956\n", + "\n", + "$MSE_list[[77]][[51]]\n", + "[1] 0.2450332\n", + "\n", + "$MSE_list[[77]][[52]]\n", + "[1] 0.253906\n", + "\n", + "$MSE_list[[77]][[53]]\n", + "[1] 0.3384958\n", + "\n", + "$MSE_list[[77]][[54]]\n", + "[1] 0.3954103\n", + "\n", + "$MSE_list[[77]][[55]]\n", + "[1] 0.2632893\n", + "\n", + "$MSE_list[[77]][[56]]\n", + "[1] 0.2698832\n", + "\n", + "$MSE_list[[77]][[57]]\n", + "[1] 0.4183097\n", + "\n", + "$MSE_list[[77]][[58]]\n", + "[1] 0.2740788\n", + "\n", + "$MSE_list[[77]][[59]]\n", + "[1] 0.1239448\n", + "\n", + "$MSE_list[[77]][[60]]\n", + "[1] 0.1903593\n", + "\n", + "$MSE_list[[77]][[61]]\n", + "[1] 0.1956144\n", + "\n", + "$MSE_list[[77]][[62]]\n", + "[1] 0.2406168\n", + "\n", + "$MSE_list[[77]][[63]]\n", + "[1] 0.2703736\n", + "\n", + "$MSE_list[[77]][[64]]\n", + "[1] 0.2842998\n", + "\n", + "$MSE_list[[77]][[65]]\n", + "[1] 0.2590643\n", + "\n", + "$MSE_list[[77]][[66]]\n", + "[1] 0.3942209\n", + "\n", + "$MSE_list[[77]][[67]]\n", + "[1] 0.2367511\n", + "\n", + "$MSE_list[[77]][[68]]\n", + "[1] 0.2324248\n", + "\n", + "$MSE_list[[77]][[69]]\n", + "[1] 0.1974778\n", + "\n", + "$MSE_list[[77]][[70]]\n", + "[1] 0.2300693\n", + "\n", + "$MSE_list[[77]][[71]]\n", + "[1] 0.2687711\n", + "\n", + "$MSE_list[[77]][[72]]\n", + "[1] 0.195165\n", + "\n", + "$MSE_list[[77]][[73]]\n", + "[1] 0.3450432\n", + "\n", + "$MSE_list[[77]][[74]]\n", + "[1] 0.1785914\n", + "\n", + "$MSE_list[[77]][[75]]\n", + "[1] 0.3172134\n", + "\n", + "$MSE_list[[77]][[76]]\n", + "[1] 0.3413848\n", + "\n", + "$MSE_list[[77]][[77]]\n", + "[1] 0.2112489\n", + "\n", + "$MSE_list[[77]][[78]]\n", + "[1] 0.3494509\n", + "\n", + "$MSE_list[[77]][[79]]\n", + "[1] 0.4210717\n", + "\n", + "$MSE_list[[77]][[80]]\n", + "[1] 0.2667698\n", + "\n", + "$MSE_list[[77]][[81]]\n", + "[1] 0.3205319\n", + "\n", + "$MSE_list[[77]][[82]]\n", + "[1] 0.2750239\n", + "\n", + "$MSE_list[[77]][[83]]\n", + "[1] 0.2714786\n", + "\n", + "$MSE_list[[77]][[84]]\n", + "[1] 0.3078577\n", + "\n", + "$MSE_list[[77]][[85]]\n", + "[1] 0.3333782\n", + "\n", + "$MSE_list[[77]][[86]]\n", + "[1] 0.1697081\n", + "\n", + "$MSE_list[[77]][[87]]\n", + "[1] 0.229514\n", + "\n", + "$MSE_list[[77]][[88]]\n", + "[1] 0.3131594\n", + "\n", + "$MSE_list[[77]][[89]]\n", + "[1] 0.1391731\n", + "\n", + "$MSE_list[[77]][[90]]\n", + "[1] 0.1146358\n", + "\n", + "$MSE_list[[77]][[91]]\n", + "[1] 0.2123543\n", + "\n", + "$MSE_list[[77]][[92]]\n", + "[1] 0.2358083\n", + "\n", + "$MSE_list[[77]][[93]]\n", + "[1] 0.2953916\n", + "\n", + "$MSE_list[[77]][[94]]\n", + "[1] 0.2778375\n", + "\n", + "$MSE_list[[77]][[95]]\n", + "[1] 0.3102858\n", + "\n", + "$MSE_list[[77]][[96]]\n", + "[1] 0.2891807\n", + "\n", + "$MSE_list[[77]][[97]]\n", + "[1] 0.3268355\n", + "\n", + "$MSE_list[[77]][[98]]\n", + "[1] 0.1688478\n", + "\n", + "$MSE_list[[77]][[99]]\n", + "[1] 0.4740966\n", + "\n", + "$MSE_list[[77]][[100]]\n", + "[1] 0.2091603\n", + "\n", + "\n", + "$MSE_list[[78]]\n", + "$MSE_list[[78]][[1]]\n", + "[1] 0.233088\n", + "\n", + "$MSE_list[[78]][[2]]\n", + "[1] 0.20166\n", + "\n", + "$MSE_list[[78]][[3]]\n", + "[1] 0.199956\n", + "\n", + "$MSE_list[[78]][[4]]\n", + "[1] 0.2830473\n", + "\n", + "$MSE_list[[78]][[5]]\n", + "[1] 0.1355334\n", + "\n", + "$MSE_list[[78]][[6]]\n", + "[1] 0.154656\n", + "\n", + "$MSE_list[[78]][[7]]\n", + "[1] 0.3154204\n", + "\n", + "$MSE_list[[78]][[8]]\n", + "[1] 0.2601706\n", + "\n", + "$MSE_list[[78]][[9]]\n", + "[1] 0.2428177\n", + "\n", + "$MSE_list[[78]][[10]]\n", + "[1] 0.2496051\n", + "\n", + "$MSE_list[[78]][[11]]\n", + "[1] 0.1346898\n", + "\n", + "$MSE_list[[78]][[12]]\n", + "[1] 0.237\n", + "\n", + "$MSE_list[[78]][[13]]\n", + "[1] 0.2040368\n", + "\n", + "$MSE_list[[78]][[14]]\n", + "[1] 0.1385227\n", + "\n", + "$MSE_list[[78]][[15]]\n", + "[1] 0.2549905\n", + "\n", + "$MSE_list[[78]][[16]]\n", + "[1] 0.1672422\n", + "\n", + "$MSE_list[[78]][[17]]\n", + "[1] 0.2921452\n", + "\n", + "$MSE_list[[78]][[18]]\n", + "[1] 0.2417351\n", + "\n", + "$MSE_list[[78]][[19]]\n", + "[1] 0.2457225\n", + "\n", + "$MSE_list[[78]][[20]]\n", + "[1] 0.2588815\n", + "\n", + "$MSE_list[[78]][[21]]\n", + "[1] 0.1361587\n", + "\n", + "$MSE_list[[78]][[22]]\n", + "[1] 0.3316752\n", + "\n", + "$MSE_list[[78]][[23]]\n", + "[1] 0.1226393\n", + "\n", + "$MSE_list[[78]][[24]]\n", + "[1] 0.2746149\n", + "\n", + "$MSE_list[[78]][[25]]\n", + "[1] 0.2611022\n", + "\n", + "$MSE_list[[78]][[26]]\n", + "[1] 0.1983306\n", + "\n", + "$MSE_list[[78]][[27]]\n", + "[1] 0.1970076\n", + "\n", + "$MSE_list[[78]][[28]]\n", + "[1] 0.2104713\n", + "\n", + "$MSE_list[[78]][[29]]\n", + "[1] 0.1470222\n", + "\n", + "$MSE_list[[78]][[30]]\n", + "[1] 0.3956924\n", + "\n", + "$MSE_list[[78]][[31]]\n", + "[1] 0.2153391\n", + "\n", + "$MSE_list[[78]][[32]]\n", + "[1] 0.2148059\n", + "\n", + "$MSE_list[[78]][[33]]\n", + "[1] 0.2377662\n", + "\n", + "$MSE_list[[78]][[34]]\n", + "[1] 0.2310008\n", + "\n", + "$MSE_list[[78]][[35]]\n", + "[1] 0.3310627\n", + "\n", + "$MSE_list[[78]][[36]]\n", + "[1] 0.2354503\n", + "\n", + "$MSE_list[[78]][[37]]\n", + "[1] 0.1191062\n", + "\n", + "$MSE_list[[78]][[38]]\n", + "[1] 0.2001653\n", + "\n", + "$MSE_list[[78]][[39]]\n", + "[1] 0.2675059\n", + "\n", + "$MSE_list[[78]][[40]]\n", + "[1] 0.07545322\n", + "\n", + "$MSE_list[[78]][[41]]\n", + "[1] 0.2873785\n", + "\n", + "$MSE_list[[78]][[42]]\n", + "[1] 0.1710475\n", + "\n", + "$MSE_list[[78]][[43]]\n", + "[1] 0.1437701\n", + "\n", + "$MSE_list[[78]][[44]]\n", + "[1] 0.2027099\n", + "\n", + "$MSE_list[[78]][[45]]\n", + "[1] 0.1973112\n", + "\n", + "$MSE_list[[78]][[46]]\n", + "[1] 0.2099664\n", + "\n", + "$MSE_list[[78]][[47]]\n", + "[1] 0.1876589\n", + "\n", + "$MSE_list[[78]][[48]]\n", + "[1] 0.3421262\n", + "\n", + "$MSE_list[[78]][[49]]\n", + "[1] 0.1411524\n", + "\n", + "$MSE_list[[78]][[50]]\n", + "[1] 0.3674468\n", + "\n", + "$MSE_list[[78]][[51]]\n", + "[1] 0.2649767\n", + "\n", + "$MSE_list[[78]][[52]]\n", + "[1] 0.3041243\n", + "\n", + "$MSE_list[[78]][[53]]\n", + "[1] 0.166491\n", + "\n", + "$MSE_list[[78]][[54]]\n", + "[1] 0.1580414\n", + "\n", + "$MSE_list[[78]][[55]]\n", + "[1] 0.2575119\n", + "\n", + "$MSE_list[[78]][[56]]\n", + "[1] 0.161677\n", + "\n", + "$MSE_list[[78]][[57]]\n", + "[1] 0.197222\n", + "\n", + "$MSE_list[[78]][[58]]\n", + "[1] 0.2247673\n", + "\n", + "$MSE_list[[78]][[59]]\n", + "[1] 0.2230027\n", + "\n", + "$MSE_list[[78]][[60]]\n", + "[1] 0.1876809\n", + "\n", + "$MSE_list[[78]][[61]]\n", + "[1] 0.1999994\n", + "\n", + "$MSE_list[[78]][[62]]\n", + "[1] 0.2101901\n", + "\n", + "$MSE_list[[78]][[63]]\n", + "[1] 0.2762849\n", + "\n", + "$MSE_list[[78]][[64]]\n", + "[1] 0.3644052\n", + "\n", + "$MSE_list[[78]][[65]]\n", + "[1] 0.1649894\n", + "\n", + "$MSE_list[[78]][[66]]\n", + "[1] 0.2907443\n", + "\n", + "$MSE_list[[78]][[67]]\n", + "[1] 0.1729213\n", + "\n", + "$MSE_list[[78]][[68]]\n", + "[1] 0.286785\n", + "\n", + "$MSE_list[[78]][[69]]\n", + "[1] 0.1996534\n", + "\n", + "$MSE_list[[78]][[70]]\n", + "[1] 0.2182742\n", + "\n", + "$MSE_list[[78]][[71]]\n", + "[1] 0.09197481\n", + "\n", + "$MSE_list[[78]][[72]]\n", + "[1] 0.2043425\n", + "\n", + "$MSE_list[[78]][[73]]\n", + "[1] 0.2723956\n", + "\n", + "$MSE_list[[78]][[74]]\n", + "[1] 0.1703935\n", + "\n", + "$MSE_list[[78]][[75]]\n", + "[1] 0.333097\n", + "\n", + "$MSE_list[[78]][[76]]\n", + "[1] 0.2223601\n", + "\n", + "$MSE_list[[78]][[77]]\n", + "[1] 0.2366689\n", + "\n", + "$MSE_list[[78]][[78]]\n", + "[1] 0.2367031\n", + "\n", + "$MSE_list[[78]][[79]]\n", + "[1] 0.1588569\n", + "\n", + "$MSE_list[[78]][[80]]\n", + "[1] 0.2183411\n", + "\n", + "$MSE_list[[78]][[81]]\n", + "[1] 0.218552\n", + "\n", + "$MSE_list[[78]][[82]]\n", + "[1] 0.2696519\n", + "\n", + "$MSE_list[[78]][[83]]\n", + "[1] 0.3607552\n", + "\n", + "$MSE_list[[78]][[84]]\n", + "[1] 0.1527702\n", + "\n", + "$MSE_list[[78]][[85]]\n", + "[1] 0.2550392\n", + "\n", + "$MSE_list[[78]][[86]]\n", + "[1] 0.2834857\n", + "\n", + "$MSE_list[[78]][[87]]\n", + "[1] 0.1966231\n", + "\n", + "$MSE_list[[78]][[88]]\n", + "[1] 0.1926912\n", + "\n", + "$MSE_list[[78]][[89]]\n", + "[1] 0.1780844\n", + "\n", + "$MSE_list[[78]][[90]]\n", + "[1] 0.1124963\n", + "\n", + "$MSE_list[[78]][[91]]\n", + "[1] 0.203254\n", + "\n", + "$MSE_list[[78]][[92]]\n", + "[1] 0.2575626\n", + "\n", + "$MSE_list[[78]][[93]]\n", + "[1] 0.1938259\n", + "\n", + "$MSE_list[[78]][[94]]\n", + "[1] 0.2197282\n", + "\n", + "$MSE_list[[78]][[95]]\n", + "[1] 0.2506619\n", + "\n", + "$MSE_list[[78]][[96]]\n", + "[1] 0.2690103\n", + "\n", + "$MSE_list[[78]][[97]]\n", + "[1] 0.2191469\n", + "\n", + "$MSE_list[[78]][[98]]\n", + "[1] 0.1830589\n", + "\n", + "$MSE_list[[78]][[99]]\n", + "[1] 0.2203286\n", + "\n", + "$MSE_list[[78]][[100]]\n", + "[1] 0.1690876\n", + "\n", + "\n", + "$MSE_list[[79]]\n", + "$MSE_list[[79]][[1]]\n", + "[1] 0.3938635\n", + "\n", + "$MSE_list[[79]][[2]]\n", + "[1] 0.2978717\n", + "\n", + "$MSE_list[[79]][[3]]\n", + "[1] 0.3378203\n", + "\n", + "$MSE_list[[79]][[4]]\n", + "[1] 0.436246\n", + "\n", + "$MSE_list[[79]][[5]]\n", + "[1] 0.1818923\n", + "\n", + "$MSE_list[[79]][[6]]\n", + "[1] 0.3442997\n", + "\n", + "$MSE_list[[79]][[7]]\n", + "[1] 0.287168\n", + "\n", + "$MSE_list[[79]][[8]]\n", + "[1] 0.3365268\n", + "\n", + "$MSE_list[[79]][[9]]\n", + "[1] 0.415422\n", + "\n", + "$MSE_list[[79]][[10]]\n", + "[1] 0.1982073\n", + "\n", + "$MSE_list[[79]][[11]]\n", + "[1] 0.2211294\n", + "\n", + "$MSE_list[[79]][[12]]\n", + "[1] 0.3425111\n", + "\n", + "$MSE_list[[79]][[13]]\n", + "[1] 0.1777966\n", + "\n", + "$MSE_list[[79]][[14]]\n", + "[1] 0.21198\n", + "\n", + "$MSE_list[[79]][[15]]\n", + "[1] 0.3483151\n", + "\n", + "$MSE_list[[79]][[16]]\n", + "[1] 0.4227594\n", + "\n", + "$MSE_list[[79]][[17]]\n", + "[1] 0.3525291\n", + "\n", + "$MSE_list[[79]][[18]]\n", + "[1] 0.3883273\n", + "\n", + "$MSE_list[[79]][[19]]\n", + "[1] 0.2343265\n", + "\n", + "$MSE_list[[79]][[20]]\n", + "[1] 0.4004965\n", + "\n", + "$MSE_list[[79]][[21]]\n", + "[1] 0.3418042\n", + "\n", + "$MSE_list[[79]][[22]]\n", + "[1] 0.3539074\n", + "\n", + "$MSE_list[[79]][[23]]\n", + "[1] 0.3899387\n", + "\n", + "$MSE_list[[79]][[24]]\n", + "[1] 0.4083774\n", + "\n", + "$MSE_list[[79]][[25]]\n", + "[1] 0.2775113\n", + "\n", + "$MSE_list[[79]][[26]]\n", + "[1] 0.3137309\n", + "\n", + "$MSE_list[[79]][[27]]\n", + "[1] 0.3791706\n", + "\n", + "$MSE_list[[79]][[28]]\n", + "[1] 0.3132113\n", + "\n", + "$MSE_list[[79]][[29]]\n", + "[1] 0.2903999\n", + "\n", + "$MSE_list[[79]][[30]]\n", + "[1] 0.3046557\n", + "\n", + "$MSE_list[[79]][[31]]\n", + "[1] 0.1404311\n", + "\n", + "$MSE_list[[79]][[32]]\n", + "[1] 0.3785354\n", + "\n", + "$MSE_list[[79]][[33]]\n", + "[1] 0.2668872\n", + "\n", + "$MSE_list[[79]][[34]]\n", + "[1] 0.3305266\n", + "\n", + "$MSE_list[[79]][[35]]\n", + "[1] 0.3414647\n", + "\n", + "$MSE_list[[79]][[36]]\n", + "[1] 0.2735332\n", + "\n", + "$MSE_list[[79]][[37]]\n", + "[1] 0.1778226\n", + "\n", + "$MSE_list[[79]][[38]]\n", + "[1] 0.4180718\n", + "\n", + "$MSE_list[[79]][[39]]\n", + "[1] 0.2468576\n", + "\n", + "$MSE_list[[79]][[40]]\n", + "[1] 0.1856898\n", + "\n", + "$MSE_list[[79]][[41]]\n", + "[1] 0.1582642\n", + "\n", + "$MSE_list[[79]][[42]]\n", + "[1] 0.2659117\n", + "\n", + "$MSE_list[[79]][[43]]\n", + "[1] 0.3133219\n", + "\n", + "$MSE_list[[79]][[44]]\n", + "[1] 0.4005286\n", + "\n", + "$MSE_list[[79]][[45]]\n", + "[1] 0.1585275\n", + "\n", + "$MSE_list[[79]][[46]]\n", + "[1] 0.3083709\n", + "\n", + "$MSE_list[[79]][[47]]\n", + "[1] 0.1816898\n", + "\n", + "$MSE_list[[79]][[48]]\n", + "[1] 0.2717474\n", + "\n", + "$MSE_list[[79]][[49]]\n", + "[1] 0.3787955\n", + "\n", + "$MSE_list[[79]][[50]]\n", + "[1] 0.2164243\n", + "\n", + "$MSE_list[[79]][[51]]\n", + "[1] 0.3400817\n", + "\n", + "$MSE_list[[79]][[52]]\n", + "[1] 0.3179437\n", + "\n", + "$MSE_list[[79]][[53]]\n", + "[1] 0.3698062\n", + "\n", + "$MSE_list[[79]][[54]]\n", + "[1] 0.2407842\n", + "\n", + "$MSE_list[[79]][[55]]\n", + "[1] 0.4040392\n", + "\n", + "$MSE_list[[79]][[56]]\n", + "[1] 0.153579\n", + "\n", + "$MSE_list[[79]][[57]]\n", + "[1] 0.3997279\n", + "\n", + "$MSE_list[[79]][[58]]\n", + "[1] 0.3182419\n", + "\n", + "$MSE_list[[79]][[59]]\n", + "[1] 0.1278392\n", + "\n", + "$MSE_list[[79]][[60]]\n", + "[1] 0.5248596\n", + "\n", + "$MSE_list[[79]][[61]]\n", + "[1] 0.2575022\n", + "\n", + "$MSE_list[[79]][[62]]\n", + "[1] 0.3448543\n", + "\n", + "$MSE_list[[79]][[63]]\n", + "[1] 0.351419\n", + "\n", + "$MSE_list[[79]][[64]]\n", + "[1] 0.2520292\n", + "\n", + "$MSE_list[[79]][[65]]\n", + "[1] 0.3399222\n", + "\n", + "$MSE_list[[79]][[66]]\n", + "[1] 0.2206152\n", + "\n", + "$MSE_list[[79]][[67]]\n", + "[1] 0.3720127\n", + "\n", + "$MSE_list[[79]][[68]]\n", + "[1] 0.1640825\n", + "\n", + "$MSE_list[[79]][[69]]\n", + "[1] 0.3711414\n", + "\n", + "$MSE_list[[79]][[70]]\n", + "[1] 0.100892\n", + "\n", + "$MSE_list[[79]][[71]]\n", + "[1] 0.3684623\n", + "\n", + "$MSE_list[[79]][[72]]\n", + "[1] 0.2618651\n", + "\n", + "$MSE_list[[79]][[73]]\n", + "[1] 0.3194081\n", + "\n", + "$MSE_list[[79]][[74]]\n", + "[1] 0.2141942\n", + "\n", + "$MSE_list[[79]][[75]]\n", + "[1] 0.09094245\n", + "\n", + "$MSE_list[[79]][[76]]\n", + "[1] 0.2671391\n", + "\n", + "$MSE_list[[79]][[77]]\n", + "[1] 0.1492383\n", + "\n", + "$MSE_list[[79]][[78]]\n", + "[1] 0.3577375\n", + "\n", + "$MSE_list[[79]][[79]]\n", + "[1] 0.3528966\n", + "\n", + "$MSE_list[[79]][[80]]\n", + "[1] 0.3838294\n", + "\n", + "$MSE_list[[79]][[81]]\n", + "[1] 0.1763864\n", + "\n", + "$MSE_list[[79]][[82]]\n", + "[1] 0.2835599\n", + "\n", + "$MSE_list[[79]][[83]]\n", + "[1] 0.398636\n", + "\n", + "$MSE_list[[79]][[84]]\n", + "[1] 0.1810037\n", + "\n", + "$MSE_list[[79]][[85]]\n", + "[1] 0.4237856\n", + "\n", + "$MSE_list[[79]][[86]]\n", + "[1] 0.2767215\n", + "\n", + "$MSE_list[[79]][[87]]\n", + "[1] 0.2001255\n", + "\n", + "$MSE_list[[79]][[88]]\n", + "[1] 0.3709302\n", + "\n", + "$MSE_list[[79]][[89]]\n", + "[1] 0.2586891\n", + "\n", + "$MSE_list[[79]][[90]]\n", + "[1] 0.299359\n", + "\n", + "$MSE_list[[79]][[91]]\n", + "[1] 0.3197945\n", + "\n", + "$MSE_list[[79]][[92]]\n", + "[1] 0.148876\n", + "\n", + "$MSE_list[[79]][[93]]\n", + "[1] 0.255321\n", + "\n", + "$MSE_list[[79]][[94]]\n", + "[1] 0.3226946\n", + "\n", + "$MSE_list[[79]][[95]]\n", + "[1] 0.3547212\n", + "\n", + "$MSE_list[[79]][[96]]\n", + "[1] 0.2887036\n", + "\n", + "$MSE_list[[79]][[97]]\n", + "[1] 0.3241685\n", + "\n", + "$MSE_list[[79]][[98]]\n", + "[1] 0.234925\n", + "\n", + "$MSE_list[[79]][[99]]\n", + "[1] 0.3733201\n", + "\n", + "$MSE_list[[79]][[100]]\n", + "[1] 0.2799442\n", + "\n", + "\n", + "$MSE_list[[80]]\n", + "$MSE_list[[80]][[1]]\n", + "[1] 0.3320941\n", + "\n", + "$MSE_list[[80]][[2]]\n", + "[1] 0.3845934\n", + "\n", + "$MSE_list[[80]][[3]]\n", + "[1] 0.2577907\n", + "\n", + "$MSE_list[[80]][[4]]\n", + "[1] 0.4290319\n", + "\n", + "$MSE_list[[80]][[5]]\n", + "[1] 0.2933912\n", + "\n", + "$MSE_list[[80]][[6]]\n", + "[1] 0.5177285\n", + "\n", + "$MSE_list[[80]][[7]]\n", + "[1] 0.4595365\n", + "\n", + "$MSE_list[[80]][[8]]\n", + "[1] 0.3688494\n", + "\n", + "$MSE_list[[80]][[9]]\n", + "[1] 0.3981805\n", + "\n", + "$MSE_list[[80]][[10]]\n", + "[1] 0.1960059\n", + "\n", + "$MSE_list[[80]][[11]]\n", + "[1] 0.3836867\n", + "\n", + "$MSE_list[[80]][[12]]\n", + "[1] 0.3140633\n", + "\n", + "$MSE_list[[80]][[13]]\n", + "[1] 0.2503668\n", + "\n", + "$MSE_list[[80]][[14]]\n", + "[1] 0.2262691\n", + "\n", + "$MSE_list[[80]][[15]]\n", + "[1] 0.2522879\n", + "\n", + "$MSE_list[[80]][[16]]\n", + "[1] 0.2298645\n", + "\n", + "$MSE_list[[80]][[17]]\n", + "[1] 0.2271057\n", + "\n", + "$MSE_list[[80]][[18]]\n", + "[1] 0.4307814\n", + "\n", + "$MSE_list[[80]][[19]]\n", + "[1] 0.2507044\n", + "\n", + "$MSE_list[[80]][[20]]\n", + "[1] 0.2819556\n", + "\n", + "$MSE_list[[80]][[21]]\n", + "[1] 0.3484293\n", + "\n", + "$MSE_list[[80]][[22]]\n", + "[1] 0.1935617\n", + "\n", + "$MSE_list[[80]][[23]]\n", + "[1] 0.4201684\n", + "\n", + "$MSE_list[[80]][[24]]\n", + "[1] 0.4326068\n", + "\n", + "$MSE_list[[80]][[25]]\n", + "[1] 0.3301171\n", + "\n", + "$MSE_list[[80]][[26]]\n", + "[1] 0.3269648\n", + "\n", + "$MSE_list[[80]][[27]]\n", + "[1] 0.3375789\n", + "\n", + "$MSE_list[[80]][[28]]\n", + "[1] 0.2847216\n", + "\n", + "$MSE_list[[80]][[29]]\n", + "[1] 0.2087368\n", + "\n", + "$MSE_list[[80]][[30]]\n", + "[1] 0.1832104\n", + "\n", + "$MSE_list[[80]][[31]]\n", + "[1] 0.2484732\n", + "\n", + "$MSE_list[[80]][[32]]\n", + "[1] 0.3942651\n", + "\n", + "$MSE_list[[80]][[33]]\n", + "[1] 0.2197362\n", + "\n", + "$MSE_list[[80]][[34]]\n", + "[1] 0.2556761\n", + "\n", + "$MSE_list[[80]][[35]]\n", + "[1] 0.3482834\n", + "\n", + "$MSE_list[[80]][[36]]\n", + "[1] 0.3756351\n", + "\n", + "$MSE_list[[80]][[37]]\n", + "[1] 0.3513537\n", + "\n", + "$MSE_list[[80]][[38]]\n", + "[1] 0.5042212\n", + "\n", + "$MSE_list[[80]][[39]]\n", + "[1] 0.4261858\n", + "\n", + "$MSE_list[[80]][[40]]\n", + "[1] 0.4071513\n", + "\n", + "$MSE_list[[80]][[41]]\n", + "[1] 0.3156806\n", + "\n", + "$MSE_list[[80]][[42]]\n", + "[1] 0.3106652\n", + "\n", + "$MSE_list[[80]][[43]]\n", + "[1] 0.3066665\n", + "\n", + "$MSE_list[[80]][[44]]\n", + "[1] 0.4383101\n", + "\n", + "$MSE_list[[80]][[45]]\n", + "[1] 0.2760174\n", + "\n", + "$MSE_list[[80]][[46]]\n", + "[1] 0.2099875\n", + "\n", + "$MSE_list[[80]][[47]]\n", + "[1] 0.2709535\n", + "\n", + "$MSE_list[[80]][[48]]\n", + "[1] 0.2801862\n", + "\n", + "$MSE_list[[80]][[49]]\n", + "[1] 0.2316508\n", + "\n", + "$MSE_list[[80]][[50]]\n", + "[1] 0.1752707\n", + "\n", + "$MSE_list[[80]][[51]]\n", + "[1] 0.2603677\n", + "\n", + "$MSE_list[[80]][[52]]\n", + "[1] 0.209773\n", + "\n", + "$MSE_list[[80]][[53]]\n", + "[1] 0.2675175\n", + "\n", + "$MSE_list[[80]][[54]]\n", + "[1] 0.3162328\n", + "\n", + "$MSE_list[[80]][[55]]\n", + "[1] 0.440318\n", + "\n", + "$MSE_list[[80]][[56]]\n", + "[1] 0.3805254\n", + "\n", + "$MSE_list[[80]][[57]]\n", + "[1] 0.4217903\n", + "\n", + "$MSE_list[[80]][[58]]\n", + "[1] 0.2249916\n", + "\n", + "$MSE_list[[80]][[59]]\n", + "[1] 0.171839\n", + "\n", + "$MSE_list[[80]][[60]]\n", + "[1] 0.3371648\n", + "\n", + "$MSE_list[[80]][[61]]\n", + "[1] 0.3227851\n", + "\n", + "$MSE_list[[80]][[62]]\n", + "[1] 0.4380415\n", + "\n", + "$MSE_list[[80]][[63]]\n", + "[1] 0.276777\n", + "\n", + "$MSE_list[[80]][[64]]\n", + "[1] 0.4848524\n", + "\n", + "$MSE_list[[80]][[65]]\n", + "[1] 0.2444197\n", + "\n", + "$MSE_list[[80]][[66]]\n", + "[1] 0.1472703\n", + "\n", + "$MSE_list[[80]][[67]]\n", + "[1] 0.289124\n", + "\n", + "$MSE_list[[80]][[68]]\n", + "[1] 0.3564046\n", + "\n", + "$MSE_list[[80]][[69]]\n", + "[1] 0.1657134\n", + "\n", + "$MSE_list[[80]][[70]]\n", + "[1] 0.411345\n", + "\n", + "$MSE_list[[80]][[71]]\n", + "[1] 0.3110002\n", + "\n", + "$MSE_list[[80]][[72]]\n", + "[1] 0.1294078\n", + "\n", + "$MSE_list[[80]][[73]]\n", + "[1] 0.3120777\n", + "\n", + "$MSE_list[[80]][[74]]\n", + "[1] 0.3011282\n", + "\n", + "$MSE_list[[80]][[75]]\n", + "[1] 0.3028961\n", + "\n", + "$MSE_list[[80]][[76]]\n", + "[1] 0.3901357\n", + "\n", + "$MSE_list[[80]][[77]]\n", + "[1] 0.3726311\n", + "\n", + "$MSE_list[[80]][[78]]\n", + "[1] 0.260367\n", + "\n", + "$MSE_list[[80]][[79]]\n", + "[1] 0.3718115\n", + "\n", + "$MSE_list[[80]][[80]]\n", + "[1] 0.3181851\n", + "\n", + "$MSE_list[[80]][[81]]\n", + "[1] 0.3705382\n", + "\n", + "$MSE_list[[80]][[82]]\n", + "[1] 0.2604111\n", + "\n", + "$MSE_list[[80]][[83]]\n", + "[1] 0.1618504\n", + "\n", + "$MSE_list[[80]][[84]]\n", + "[1] 0.3521577\n", + "\n", + "$MSE_list[[80]][[85]]\n", + "[1] 0.4050446\n", + "\n", + "$MSE_list[[80]][[86]]\n", + "[1] 0.3972521\n", + "\n", + "$MSE_list[[80]][[87]]\n", + "[1] 0.1926646\n", + "\n", + "$MSE_list[[80]][[88]]\n", + "[1] 0.2648478\n", + "\n", + "$MSE_list[[80]][[89]]\n", + "[1] 0.2924774\n", + "\n", + "$MSE_list[[80]][[90]]\n", + "[1] 0.3721442\n", + "\n", + "$MSE_list[[80]][[91]]\n", + "[1] 0.2392467\n", + "\n", + "$MSE_list[[80]][[92]]\n", + "[1] 0.4554471\n", + "\n", + "$MSE_list[[80]][[93]]\n", + "[1] 0.4727024\n", + "\n", + "$MSE_list[[80]][[94]]\n", + "[1] 0.2742662\n", + "\n", + "$MSE_list[[80]][[95]]\n", + "[1] 0.4605932\n", + "\n", + "$MSE_list[[80]][[96]]\n", + "[1] 0.2565048\n", + "\n", + "$MSE_list[[80]][[97]]\n", + "[1] 0.2586222\n", + "\n", + "$MSE_list[[80]][[98]]\n", + "[1] 0.2112827\n", + "\n", + "$MSE_list[[80]][[99]]\n", + "[1] 0.273901\n", + "\n", + "$MSE_list[[80]][[100]]\n", + "[1] 0.404574\n", + "\n", + "\n", + "$MSE_list[[81]]\n", + "$MSE_list[[81]][[1]]\n", + "[1] 0.3248867\n", + "\n", + "$MSE_list[[81]][[2]]\n", + "[1] 0.4069921\n", + "\n", + "$MSE_list[[81]][[3]]\n", + "[1] 0.4104212\n", + "\n", + "$MSE_list[[81]][[4]]\n", + "[1] 0.2252935\n", + "\n", + "$MSE_list[[81]][[5]]\n", + "[1] 0.3797691\n", + "\n", + "$MSE_list[[81]][[6]]\n", + "[1] 0.2526382\n", + "\n", + "$MSE_list[[81]][[7]]\n", + "[1] 0.2481345\n", + "\n", + "$MSE_list[[81]][[8]]\n", + "[1] 0.3125581\n", + "\n", + "$MSE_list[[81]][[9]]\n", + "[1] 0.4733423\n", + "\n", + "$MSE_list[[81]][[10]]\n", + "[1] 0.1700396\n", + "\n", + "$MSE_list[[81]][[11]]\n", + "[1] 0.2197076\n", + "\n", + "$MSE_list[[81]][[12]]\n", + "[1] 0.3949462\n", + "\n", + "$MSE_list[[81]][[13]]\n", + "[1] 0.4255337\n", + "\n", + "$MSE_list[[81]][[14]]\n", + "[1] 0.3517053\n", + "\n", + "$MSE_list[[81]][[15]]\n", + "[1] 0.2664881\n", + "\n", + "$MSE_list[[81]][[16]]\n", + "[1] 0.2192561\n", + "\n", + "$MSE_list[[81]][[17]]\n", + "[1] 0.2495925\n", + "\n", + "$MSE_list[[81]][[18]]\n", + "[1] 0.2271092\n", + "\n", + "$MSE_list[[81]][[19]]\n", + "[1] 0.2311268\n", + "\n", + "$MSE_list[[81]][[20]]\n", + "[1] 0.2675113\n", + "\n", + "$MSE_list[[81]][[21]]\n", + "[1] 0.4518078\n", + "\n", + "$MSE_list[[81]][[22]]\n", + "[1] 0.3019913\n", + "\n", + "$MSE_list[[81]][[23]]\n", + "[1] 0.2706056\n", + "\n", + "$MSE_list[[81]][[24]]\n", + "[1] 0.1314177\n", + "\n", + "$MSE_list[[81]][[25]]\n", + "[1] 0.3155272\n", + "\n", + "$MSE_list[[81]][[26]]\n", + "[1] 0.1162651\n", + "\n", + "$MSE_list[[81]][[27]]\n", + "[1] 0.3099007\n", + "\n", + "$MSE_list[[81]][[28]]\n", + "[1] 0.2760532\n", + "\n", + "$MSE_list[[81]][[29]]\n", + "[1] 0.3106695\n", + "\n", + "$MSE_list[[81]][[30]]\n", + "[1] 0.1880001\n", + "\n", + "$MSE_list[[81]][[31]]\n", + "[1] 0.264612\n", + "\n", + "$MSE_list[[81]][[32]]\n", + "[1] 0.1791158\n", + "\n", + "$MSE_list[[81]][[33]]\n", + "[1] 0.3743585\n", + "\n", + "$MSE_list[[81]][[34]]\n", + "[1] 0.3272786\n", + "\n", + "$MSE_list[[81]][[35]]\n", + "[1] 0.3615776\n", + "\n", + "$MSE_list[[81]][[36]]\n", + "[1] 0.2013444\n", + "\n", + "$MSE_list[[81]][[37]]\n", + "[1] 0.3074387\n", + "\n", + "$MSE_list[[81]][[38]]\n", + "[1] 0.1012346\n", + "\n", + "$MSE_list[[81]][[39]]\n", + "[1] 0.4116723\n", + "\n", + "$MSE_list[[81]][[40]]\n", + "[1] 0.3270934\n", + "\n", + "$MSE_list[[81]][[41]]\n", + "[1] 0.2442404\n", + "\n", + "$MSE_list[[81]][[42]]\n", + "[1] 0.3601926\n", + "\n", + "$MSE_list[[81]][[43]]\n", + "[1] 0.1839002\n", + "\n", + "$MSE_list[[81]][[44]]\n", + "[1] 0.2766649\n", + "\n", + "$MSE_list[[81]][[45]]\n", + "[1] 0.390175\n", + "\n", + "$MSE_list[[81]][[46]]\n", + "[1] 0.2200581\n", + "\n", + "$MSE_list[[81]][[47]]\n", + "[1] 0.3956466\n", + "\n", + "$MSE_list[[81]][[48]]\n", + "[1] 0.2771967\n", + "\n", + "$MSE_list[[81]][[49]]\n", + "[1] 0.4672522\n", + "\n", + "$MSE_list[[81]][[50]]\n", + "[1] 0.2587769\n", + "\n", + "$MSE_list[[81]][[51]]\n", + "[1] 0.09548247\n", + "\n", + "$MSE_list[[81]][[52]]\n", + "[1] 0.09413001\n", + "\n", + "$MSE_list[[81]][[53]]\n", + "[1] 0.2829009\n", + "\n", + "$MSE_list[[81]][[54]]\n", + "[1] 0.1780493\n", + "\n", + "$MSE_list[[81]][[55]]\n", + "[1] 0.3853753\n", + "\n", + "$MSE_list[[81]][[56]]\n", + "[1] 0.3394072\n", + "\n", + "$MSE_list[[81]][[57]]\n", + "[1] 0.3093369\n", + "\n", + "$MSE_list[[81]][[58]]\n", + "[1] 0.3164656\n", + "\n", + "$MSE_list[[81]][[59]]\n", + "[1] 0.2818293\n", + "\n", + "$MSE_list[[81]][[60]]\n", + "[1] 0.232958\n", + "\n", + "$MSE_list[[81]][[61]]\n", + "[1] 0.3654906\n", + "\n", + "$MSE_list[[81]][[62]]\n", + "[1] 0.351511\n", + "\n", + "$MSE_list[[81]][[63]]\n", + "[1] 0.365445\n", + "\n", + "$MSE_list[[81]][[64]]\n", + "[1] 0.3981035\n", + "\n", + "$MSE_list[[81]][[65]]\n", + "[1] 0.2131639\n", + "\n", + "$MSE_list[[81]][[66]]\n", + "[1] 0.2930279\n", + "\n", + "$MSE_list[[81]][[67]]\n", + "[1] 0.2805771\n", + "\n", + "$MSE_list[[81]][[68]]\n", + "[1] 0.3900324\n", + "\n", + "$MSE_list[[81]][[69]]\n", + "[1] 0.3501836\n", + "\n", + "$MSE_list[[81]][[70]]\n", + "[1] 0.3765552\n", + "\n", + "$MSE_list[[81]][[71]]\n", + "[1] 0.1576776\n", + "\n", + "$MSE_list[[81]][[72]]\n", + "[1] 0.2799114\n", + "\n", + "$MSE_list[[81]][[73]]\n", + "[1] 0.1446765\n", + "\n", + "$MSE_list[[81]][[74]]\n", + "[1] 0.2716169\n", + "\n", + "$MSE_list[[81]][[75]]\n", + "[1] 0.2908687\n", + "\n", + "$MSE_list[[81]][[76]]\n", + "[1] 0.4035355\n", + "\n", + "$MSE_list[[81]][[77]]\n", + "[1] 0.09508837\n", + "\n", + "$MSE_list[[81]][[78]]\n", + "[1] 0.210312\n", + "\n", + "$MSE_list[[81]][[79]]\n", + "[1] 0.2341749\n", + "\n", + "$MSE_list[[81]][[80]]\n", + "[1] 0.1816964\n", + "\n", + "$MSE_list[[81]][[81]]\n", + "[1] 0.2639634\n", + "\n", + "$MSE_list[[81]][[82]]\n", + "[1] 0.1602967\n", + "\n", + "$MSE_list[[81]][[83]]\n", + "[1] 0.3514998\n", + "\n", + "$MSE_list[[81]][[84]]\n", + "[1] 0.3267639\n", + "\n", + "$MSE_list[[81]][[85]]\n", + "[1] 0.3494009\n", + "\n", + "$MSE_list[[81]][[86]]\n", + "[1] 0.3133603\n", + "\n", + "$MSE_list[[81]][[87]]\n", + "[1] 0.2850339\n", + "\n", + "$MSE_list[[81]][[88]]\n", + "[1] 0.3458634\n", + "\n", + "$MSE_list[[81]][[89]]\n", + "[1] 0.3010948\n", + "\n", + "$MSE_list[[81]][[90]]\n", + "[1] 0.3672866\n", + "\n", + "$MSE_list[[81]][[91]]\n", + "[1] 0.3911635\n", + "\n", + "$MSE_list[[81]][[92]]\n", + "[1] 0.2731931\n", + "\n", + "$MSE_list[[81]][[93]]\n", + "[1] 0.2594237\n", + "\n", + "$MSE_list[[81]][[94]]\n", + "[1] 0.1734259\n", + "\n", + "$MSE_list[[81]][[95]]\n", + "[1] 0.2423512\n", + "\n", + "$MSE_list[[81]][[96]]\n", + "[1] 0.3186915\n", + "\n", + "$MSE_list[[81]][[97]]\n", + "[1] 0.2975163\n", + "\n", + "$MSE_list[[81]][[98]]\n", + "[1] 0.2950487\n", + "\n", + "$MSE_list[[81]][[99]]\n", + "[1] 0.1506907\n", + "\n", + "$MSE_list[[81]][[100]]\n", + "[1] 0.2115879\n", + "\n", + "\n", + "$MSE_list[[82]]\n", + "$MSE_list[[82]][[1]]\n", + "[1] 0.3707086\n", + "\n", + "$MSE_list[[82]][[2]]\n", + "[1] 0.1787998\n", + "\n", + "$MSE_list[[82]][[3]]\n", + "[1] 0.1837732\n", + "\n", + "$MSE_list[[82]][[4]]\n", + "[1] 0.3744896\n", + "\n", + "$MSE_list[[82]][[5]]\n", + "[1] 0.2557631\n", + "\n", + "$MSE_list[[82]][[6]]\n", + "[1] 0.234056\n", + "\n", + "$MSE_list[[82]][[7]]\n", + "[1] 0.2880496\n", + "\n", + "$MSE_list[[82]][[8]]\n", + "[1] 0.2739202\n", + "\n", + "$MSE_list[[82]][[9]]\n", + "[1] 0.3678903\n", + "\n", + "$MSE_list[[82]][[10]]\n", + "[1] 0.2963166\n", + "\n", + "$MSE_list[[82]][[11]]\n", + "[1] 0.2360805\n", + "\n", + "$MSE_list[[82]][[12]]\n", + "[1] 0.1951931\n", + "\n", + "$MSE_list[[82]][[13]]\n", + "[1] 0.2920091\n", + "\n", + "$MSE_list[[82]][[14]]\n", + "[1] 0.2745684\n", + "\n", + "$MSE_list[[82]][[15]]\n", + "[1] 0.1857243\n", + "\n", + "$MSE_list[[82]][[16]]\n", + "[1] 0.4506341\n", + "\n", + "$MSE_list[[82]][[17]]\n", + "[1] 0.2815749\n", + "\n", + "$MSE_list[[82]][[18]]\n", + "[1] 0.290826\n", + "\n", + "$MSE_list[[82]][[19]]\n", + "[1] 0.1990522\n", + "\n", + "$MSE_list[[82]][[20]]\n", + "[1] 0.309842\n", + "\n", + "$MSE_list[[82]][[21]]\n", + "[1] 0.2902615\n", + "\n", + "$MSE_list[[82]][[22]]\n", + "[1] 0.3571964\n", + "\n", + "$MSE_list[[82]][[23]]\n", + "[1] 0.1872095\n", + "\n", + "$MSE_list[[82]][[24]]\n", + "[1] 0.399426\n", + "\n", + "$MSE_list[[82]][[25]]\n", + "[1] 0.3476868\n", + "\n", + "$MSE_list[[82]][[26]]\n", + "[1] 0.3808137\n", + "\n", + "$MSE_list[[82]][[27]]\n", + "[1] 0.3116549\n", + "\n", + "$MSE_list[[82]][[28]]\n", + "[1] 0.2959658\n", + "\n", + "$MSE_list[[82]][[29]]\n", + "[1] 0.3667786\n", + "\n", + "$MSE_list[[82]][[30]]\n", + "[1] 0.3304051\n", + "\n", + "$MSE_list[[82]][[31]]\n", + "[1] 0.3070692\n", + "\n", + "$MSE_list[[82]][[32]]\n", + "[1] 0.2548817\n", + "\n", + "$MSE_list[[82]][[33]]\n", + "[1] 0.2286638\n", + "\n", + "$MSE_list[[82]][[34]]\n", + "[1] 0.3111228\n", + "\n", + "$MSE_list[[82]][[35]]\n", + "[1] 0.1595904\n", + "\n", + "$MSE_list[[82]][[36]]\n", + "[1] 0.1261741\n", + "\n", + "$MSE_list[[82]][[37]]\n", + "[1] 0.3361987\n", + "\n", + "$MSE_list[[82]][[38]]\n", + "[1] 0.1772591\n", + "\n", + "$MSE_list[[82]][[39]]\n", + "[1] 0.2997094\n", + "\n", + "$MSE_list[[82]][[40]]\n", + "[1] 0.2429535\n", + "\n", + "$MSE_list[[82]][[41]]\n", + "[1] 0.1856372\n", + "\n", + "$MSE_list[[82]][[42]]\n", + "[1] 0.1389272\n", + "\n", + "$MSE_list[[82]][[43]]\n", + "[1] 0.3750978\n", + "\n", + "$MSE_list[[82]][[44]]\n", + "[1] 0.3203202\n", + "\n", + "$MSE_list[[82]][[45]]\n", + "[1] 0.3363122\n", + "\n", + "$MSE_list[[82]][[46]]\n", + "[1] 0.4368424\n", + "\n", + "$MSE_list[[82]][[47]]\n", + "[1] 0.3122589\n", + "\n", + "$MSE_list[[82]][[48]]\n", + "[1] 0.1578314\n", + "\n", + "$MSE_list[[82]][[49]]\n", + "[1] 0.1362354\n", + "\n", + "$MSE_list[[82]][[50]]\n", + "[1] 0.3630465\n", + "\n", + "$MSE_list[[82]][[51]]\n", + "[1] 0.2537372\n", + "\n", + "$MSE_list[[82]][[52]]\n", + "[1] 0.2111574\n", + "\n", + "$MSE_list[[82]][[53]]\n", + "[1] 0.3904235\n", + "\n", + "$MSE_list[[82]][[54]]\n", + "[1] 0.3254775\n", + "\n", + "$MSE_list[[82]][[55]]\n", + "[1] 0.2673513\n", + "\n", + "$MSE_list[[82]][[56]]\n", + "[1] 0.2538448\n", + "\n", + "$MSE_list[[82]][[57]]\n", + "[1] 0.1172102\n", + "\n", + "$MSE_list[[82]][[58]]\n", + "[1] 0.3456396\n", + "\n", + "$MSE_list[[82]][[59]]\n", + "[1] 0.3209047\n", + "\n", + "$MSE_list[[82]][[60]]\n", + "[1] 0.3815\n", + "\n", + "$MSE_list[[82]][[61]]\n", + "[1] 0.3000841\n", + "\n", + "$MSE_list[[82]][[62]]\n", + "[1] 0.3075879\n", + "\n", + "$MSE_list[[82]][[63]]\n", + "[1] 0.3644065\n", + "\n", + "$MSE_list[[82]][[64]]\n", + "[1] 0.3488236\n", + "\n", + "$MSE_list[[82]][[65]]\n", + "[1] 0.2422009\n", + "\n", + "$MSE_list[[82]][[66]]\n", + "[1] 0.3373648\n", + "\n", + "$MSE_list[[82]][[67]]\n", + "[1] 0.2527696\n", + "\n", + "$MSE_list[[82]][[68]]\n", + "[1] 0.226798\n", + "\n", + "$MSE_list[[82]][[69]]\n", + "[1] 0.2189098\n", + "\n", + "$MSE_list[[82]][[70]]\n", + "[1] 0.3091883\n", + "\n", + "$MSE_list[[82]][[71]]\n", + "[1] 0.2012414\n", + "\n", + "$MSE_list[[82]][[72]]\n", + "[1] 0.3666286\n", + "\n", + "$MSE_list[[82]][[73]]\n", + "[1] 0.1959766\n", + "\n", + "$MSE_list[[82]][[74]]\n", + "[1] 0.2769142\n", + "\n", + "$MSE_list[[82]][[75]]\n", + "[1] 0.280251\n", + "\n", + "$MSE_list[[82]][[76]]\n", + "[1] 0.3427189\n", + "\n", + "$MSE_list[[82]][[77]]\n", + "[1] 0.3001871\n", + "\n", + "$MSE_list[[82]][[78]]\n", + "[1] 0.3239134\n", + "\n", + "$MSE_list[[82]][[79]]\n", + "[1] 0.1938456\n", + "\n", + "$MSE_list[[82]][[80]]\n", + "[1] 0.2395279\n", + "\n", + "$MSE_list[[82]][[81]]\n", + "[1] 0.4054332\n", + "\n", + "$MSE_list[[82]][[82]]\n", + "[1] 0.2760709\n", + "\n", + "$MSE_list[[82]][[83]]\n", + "[1] 0.3448271\n", + "\n", + "$MSE_list[[82]][[84]]\n", + "[1] 0.2738149\n", + "\n", + "$MSE_list[[82]][[85]]\n", + "[1] 0.2967619\n", + "\n", + "$MSE_list[[82]][[86]]\n", + "[1] 0.3046345\n", + "\n", + "$MSE_list[[82]][[87]]\n", + "[1] 0.3329426\n", + "\n", + "$MSE_list[[82]][[88]]\n", + "[1] 0.3519335\n", + "\n", + "$MSE_list[[82]][[89]]\n", + "[1] 0.201583\n", + "\n", + "$MSE_list[[82]][[90]]\n", + "[1] 0.3033988\n", + "\n", + "$MSE_list[[82]][[91]]\n", + "[1] 0.3466037\n", + "\n", + "$MSE_list[[82]][[92]]\n", + "[1] 0.1301623\n", + "\n", + "$MSE_list[[82]][[93]]\n", + "[1] 0.1834154\n", + "\n", + "$MSE_list[[82]][[94]]\n", + "[1] 0.4972985\n", + "\n", + "$MSE_list[[82]][[95]]\n", + "[1] 0.4423247\n", + "\n", + "$MSE_list[[82]][[96]]\n", + "[1] 0.3089203\n", + "\n", + "$MSE_list[[82]][[97]]\n", + "[1] 0.3543067\n", + "\n", + "$MSE_list[[82]][[98]]\n", + "[1] 0.3001605\n", + "\n", + "$MSE_list[[82]][[99]]\n", + "[1] 0.2691903\n", + "\n", + "$MSE_list[[82]][[100]]\n", + "[1] 0.3954524\n", + "\n", + "\n", + "$MSE_list[[83]]\n", + "$MSE_list[[83]][[1]]\n", + "[1] 0.3313491\n", + "\n", + "$MSE_list[[83]][[2]]\n", + "[1] 0.1932065\n", + "\n", + "$MSE_list[[83]][[3]]\n", + "[1] 0.3526071\n", + "\n", + "$MSE_list[[83]][[4]]\n", + "[1] 0.2878753\n", + "\n", + "$MSE_list[[83]][[5]]\n", + "[1] 0.2356864\n", + "\n", + "$MSE_list[[83]][[6]]\n", + "[1] 0.3129115\n", + "\n", + "$MSE_list[[83]][[7]]\n", + "[1] 0.2223638\n", + "\n", + "$MSE_list[[83]][[8]]\n", + "[1] 0.3178452\n", + "\n", + "$MSE_list[[83]][[9]]\n", + "[1] 0.424975\n", + "\n", + "$MSE_list[[83]][[10]]\n", + "[1] 0.3112716\n", + "\n", + "$MSE_list[[83]][[11]]\n", + "[1] 0.1691761\n", + "\n", + "$MSE_list[[83]][[12]]\n", + "[1] 0.2083559\n", + "\n", + "$MSE_list[[83]][[13]]\n", + "[1] 0.306832\n", + "\n", + "$MSE_list[[83]][[14]]\n", + "[1] 0.2734832\n", + "\n", + "$MSE_list[[83]][[15]]\n", + "[1] 0.1810859\n", + "\n", + "$MSE_list[[83]][[16]]\n", + "[1] 0.3118674\n", + "\n", + "$MSE_list[[83]][[17]]\n", + "[1] 0.1714472\n", + "\n", + "$MSE_list[[83]][[18]]\n", + "[1] 0.257316\n", + "\n", + "$MSE_list[[83]][[19]]\n", + "[1] 0.2642052\n", + "\n", + "$MSE_list[[83]][[20]]\n", + "[1] 0.4193274\n", + "\n", + "$MSE_list[[83]][[21]]\n", + "[1] 0.3241528\n", + "\n", + "$MSE_list[[83]][[22]]\n", + "[1] 0.1311056\n", + "\n", + "$MSE_list[[83]][[23]]\n", + "[1] 0.2987961\n", + "\n", + "$MSE_list[[83]][[24]]\n", + "[1] 0.3884092\n", + "\n", + "$MSE_list[[83]][[25]]\n", + "[1] 0.3347451\n", + "\n", + "$MSE_list[[83]][[26]]\n", + "[1] 0.1029405\n", + "\n", + "$MSE_list[[83]][[27]]\n", + "[1] 0.08841876\n", + "\n", + "$MSE_list[[83]][[28]]\n", + "[1] 0.2179193\n", + "\n", + "$MSE_list[[83]][[29]]\n", + "[1] 0.3651883\n", + "\n", + "$MSE_list[[83]][[30]]\n", + "[1] 0.1787959\n", + "\n", + "$MSE_list[[83]][[31]]\n", + "[1] 0.3920221\n", + "\n", + "$MSE_list[[83]][[32]]\n", + "[1] 0.2986286\n", + "\n", + "$MSE_list[[83]][[33]]\n", + "[1] 0.2552669\n", + "\n", + "$MSE_list[[83]][[34]]\n", + "[1] 0.268903\n", + "\n", + "$MSE_list[[83]][[35]]\n", + "[1] 0.2285108\n", + "\n", + "$MSE_list[[83]][[36]]\n", + "[1] 0.2900066\n", + "\n", + "$MSE_list[[83]][[37]]\n", + "[1] 0.2848775\n", + "\n", + "$MSE_list[[83]][[38]]\n", + "[1] 0.241012\n", + "\n", + "$MSE_list[[83]][[39]]\n", + "[1] 0.3082462\n", + "\n", + "$MSE_list[[83]][[40]]\n", + "[1] 0.2726703\n", + "\n", + "$MSE_list[[83]][[41]]\n", + "[1] 0.2740553\n", + "\n", + "$MSE_list[[83]][[42]]\n", + "[1] 0.322776\n", + "\n", + "$MSE_list[[83]][[43]]\n", + "[1] 0.4417297\n", + "\n", + "$MSE_list[[83]][[44]]\n", + "[1] 0.1612489\n", + "\n", + "$MSE_list[[83]][[45]]\n", + "[1] 0.2951779\n", + "\n", + "$MSE_list[[83]][[46]]\n", + "[1] 0.3456941\n", + "\n", + "$MSE_list[[83]][[47]]\n", + "[1] 0.2863723\n", + "\n", + "$MSE_list[[83]][[48]]\n", + "[1] 0.3548226\n", + "\n", + "$MSE_list[[83]][[49]]\n", + "[1] 0.2088972\n", + "\n", + "$MSE_list[[83]][[50]]\n", + "[1] 0.2974041\n", + "\n", + "$MSE_list[[83]][[51]]\n", + "[1] 0.205199\n", + "\n", + "$MSE_list[[83]][[52]]\n", + "[1] 0.1536113\n", + "\n", + "$MSE_list[[83]][[53]]\n", + "[1] 0.3127229\n", + "\n", + "$MSE_list[[83]][[54]]\n", + "[1] 0.1826481\n", + "\n", + "$MSE_list[[83]][[55]]\n", + "[1] 0.1214545\n", + "\n", + "$MSE_list[[83]][[56]]\n", + "[1] 0.2910187\n", + "\n", + "$MSE_list[[83]][[57]]\n", + "[1] 0.1581891\n", + "\n", + "$MSE_list[[83]][[58]]\n", + "[1] 0.2508364\n", + "\n", + "$MSE_list[[83]][[59]]\n", + "[1] 0.3123213\n", + "\n", + "$MSE_list[[83]][[60]]\n", + "[1] 0.2311247\n", + "\n", + "$MSE_list[[83]][[61]]\n", + "[1] 0.2479738\n", + "\n", + "$MSE_list[[83]][[62]]\n", + "[1] 0.1643243\n", + "\n", + "$MSE_list[[83]][[63]]\n", + "[1] 0.1146475\n", + "\n", + "$MSE_list[[83]][[64]]\n", + "[1] 0.3511395\n", + "\n", + "$MSE_list[[83]][[65]]\n", + "[1] 0.346454\n", + "\n", + "$MSE_list[[83]][[66]]\n", + "[1] 0.3680003\n", + "\n", + "$MSE_list[[83]][[67]]\n", + "[1] 0.2649899\n", + "\n", + "$MSE_list[[83]][[68]]\n", + "[1] 0.1679322\n", + "\n", + "$MSE_list[[83]][[69]]\n", + "[1] 0.1697312\n", + "\n", + "$MSE_list[[83]][[70]]\n", + "[1] 0.3090118\n", + "\n", + "$MSE_list[[83]][[71]]\n", + "[1] 0.3302619\n", + "\n", + "$MSE_list[[83]][[72]]\n", + "[1] 0.3584674\n", + "\n", + "$MSE_list[[83]][[73]]\n", + "[1] 0.1777236\n", + "\n", + "$MSE_list[[83]][[74]]\n", + "[1] 0.271395\n", + "\n", + "$MSE_list[[83]][[75]]\n", + "[1] 0.433075\n", + "\n", + "$MSE_list[[83]][[76]]\n", + "[1] 0.1335395\n", + "\n", + "$MSE_list[[83]][[77]]\n", + "[1] 0.292046\n", + "\n", + "$MSE_list[[83]][[78]]\n", + "[1] 0.3254947\n", + "\n", + "$MSE_list[[83]][[79]]\n", + "[1] 0.1817145\n", + "\n", + "$MSE_list[[83]][[80]]\n", + "[1] 0.2073019\n", + "\n", + "$MSE_list[[83]][[81]]\n", + "[1] 0.2904844\n", + "\n", + "$MSE_list[[83]][[82]]\n", + "[1] 0.1667618\n", + "\n", + "$MSE_list[[83]][[83]]\n", + "[1] 0.3714465\n", + "\n", + "$MSE_list[[83]][[84]]\n", + "[1] 0.3595982\n", + "\n", + "$MSE_list[[83]][[85]]\n", + "[1] 0.3309835\n", + "\n", + "$MSE_list[[83]][[86]]\n", + "[1] 0.2352046\n", + "\n", + "$MSE_list[[83]][[87]]\n", + "[1] 0.2265552\n", + "\n", + "$MSE_list[[83]][[88]]\n", + "[1] 0.2596657\n", + "\n", + "$MSE_list[[83]][[89]]\n", + "[1] 0.3342712\n", + "\n", + "$MSE_list[[83]][[90]]\n", + "[1] 0.3255074\n", + "\n", + "$MSE_list[[83]][[91]]\n", + "[1] 0.1257237\n", + "\n", + "$MSE_list[[83]][[92]]\n", + "[1] 0.2424582\n", + "\n", + "$MSE_list[[83]][[93]]\n", + "[1] 0.5289028\n", + "\n", + "$MSE_list[[83]][[94]]\n", + "[1] 0.3407496\n", + "\n", + "$MSE_list[[83]][[95]]\n", + "[1] 0.3131142\n", + "\n", + "$MSE_list[[83]][[96]]\n", + "[1] 0.2740033\n", + "\n", + "$MSE_list[[83]][[97]]\n", + "[1] 0.297586\n", + "\n", + "$MSE_list[[83]][[98]]\n", + "[1] 0.192316\n", + "\n", + "$MSE_list[[83]][[99]]\n", + "[1] 0.423913\n", + "\n", + "$MSE_list[[83]][[100]]\n", + "[1] 0.09443561\n", + "\n", + "\n", + "$MSE_list[[84]]\n", + "$MSE_list[[84]][[1]]\n", + "[1] 0.2449794\n", + "\n", + "$MSE_list[[84]][[2]]\n", + "[1] 0.09489994\n", + "\n", + "$MSE_list[[84]][[3]]\n", + "[1] 0.2515782\n", + "\n", + "$MSE_list[[84]][[4]]\n", + "[1] 0.2496676\n", + "\n", + "$MSE_list[[84]][[5]]\n", + "[1] 0.2889743\n", + "\n", + "$MSE_list[[84]][[6]]\n", + "[1] 0.2134696\n", + "\n", + "$MSE_list[[84]][[7]]\n", + "[1] 0.2014094\n", + "\n", + "$MSE_list[[84]][[8]]\n", + "[1] 0.389016\n", + "\n", + "$MSE_list[[84]][[9]]\n", + "[1] 0.3269392\n", + "\n", + "$MSE_list[[84]][[10]]\n", + "[1] 0.2298143\n", + "\n", + "$MSE_list[[84]][[11]]\n", + "[1] 0.3183274\n", + "\n", + "$MSE_list[[84]][[12]]\n", + "[1] 0.2797572\n", + "\n", + "$MSE_list[[84]][[13]]\n", + "[1] 0.2761728\n", + "\n", + "$MSE_list[[84]][[14]]\n", + "[1] 0.3588837\n", + "\n", + "$MSE_list[[84]][[15]]\n", + "[1] 0.3928545\n", + "\n", + "$MSE_list[[84]][[16]]\n", + "[1] 0.2294943\n", + "\n", + "$MSE_list[[84]][[17]]\n", + "[1] 0.3449611\n", + "\n", + "$MSE_list[[84]][[18]]\n", + "[1] 0.3269591\n", + "\n", + "$MSE_list[[84]][[19]]\n", + "[1] 0.2841971\n", + "\n", + "$MSE_list[[84]][[20]]\n", + "[1] 0.2581681\n", + "\n", + "$MSE_list[[84]][[21]]\n", + "[1] 0.2457188\n", + "\n", + "$MSE_list[[84]][[22]]\n", + "[1] 0.3782739\n", + "\n", + "$MSE_list[[84]][[23]]\n", + "[1] 0.2245701\n", + "\n", + "$MSE_list[[84]][[24]]\n", + "[1] 0.2496658\n", + "\n", + "$MSE_list[[84]][[25]]\n", + "[1] 0.3112492\n", + "\n", + "$MSE_list[[84]][[26]]\n", + "[1] 0.2152916\n", + "\n", + "$MSE_list[[84]][[27]]\n", + "[1] 0.3326605\n", + "\n", + "$MSE_list[[84]][[28]]\n", + "[1] 0.3363759\n", + "\n", + "$MSE_list[[84]][[29]]\n", + "[1] 0.2804837\n", + "\n", + "$MSE_list[[84]][[30]]\n", + "[1] 0.3239789\n", + "\n", + "$MSE_list[[84]][[31]]\n", + "[1] 0.1978484\n", + "\n", + "$MSE_list[[84]][[32]]\n", + "[1] 0.3221197\n", + "\n", + "$MSE_list[[84]][[33]]\n", + "[1] 0.2365343\n", + "\n", + "$MSE_list[[84]][[34]]\n", + "[1] 0.2838378\n", + "\n", + "$MSE_list[[84]][[35]]\n", + "[1] 0.3538759\n", + "\n", + "$MSE_list[[84]][[36]]\n", + "[1] 0.1995954\n", + "\n", + "$MSE_list[[84]][[37]]\n", + "[1] 0.3634441\n", + "\n", + "$MSE_list[[84]][[38]]\n", + "[1] 0.2705142\n", + "\n", + "$MSE_list[[84]][[39]]\n", + "[1] 0.3044856\n", + "\n", + "$MSE_list[[84]][[40]]\n", + "[1] 0.2949182\n", + "\n", + "$MSE_list[[84]][[41]]\n", + "[1] 0.356182\n", + "\n", + "$MSE_list[[84]][[42]]\n", + "[1] 0.2336945\n", + "\n", + "$MSE_list[[84]][[43]]\n", + "[1] 0.1890349\n", + "\n", + "$MSE_list[[84]][[44]]\n", + "[1] 0.3014459\n", + "\n", + "$MSE_list[[84]][[45]]\n", + "[1] 0.2805625\n", + "\n", + "$MSE_list[[84]][[46]]\n", + "[1] 0.3022687\n", + "\n", + "$MSE_list[[84]][[47]]\n", + "[1] 0.2370493\n", + "\n", + "$MSE_list[[84]][[48]]\n", + "[1] 0.2698664\n", + "\n", + "$MSE_list[[84]][[49]]\n", + "[1] 0.3009324\n", + "\n", + "$MSE_list[[84]][[50]]\n", + "[1] 0.286655\n", + "\n", + "$MSE_list[[84]][[51]]\n", + "[1] 0.2932645\n", + "\n", + "$MSE_list[[84]][[52]]\n", + "[1] 0.3063636\n", + "\n", + "$MSE_list[[84]][[53]]\n", + "[1] 0.2608959\n", + "\n", + "$MSE_list[[84]][[54]]\n", + "[1] 0.2646209\n", + "\n", + "$MSE_list[[84]][[55]]\n", + "[1] 0.2611871\n", + "\n", + "$MSE_list[[84]][[56]]\n", + "[1] 0.3088294\n", + "\n", + "$MSE_list[[84]][[57]]\n", + "[1] 0.294672\n", + "\n", + "$MSE_list[[84]][[58]]\n", + "[1] 0.2796962\n", + "\n", + "$MSE_list[[84]][[59]]\n", + "[1] 0.2292639\n", + "\n", + "$MSE_list[[84]][[60]]\n", + "[1] 0.2522145\n", + "\n", + "$MSE_list[[84]][[61]]\n", + "[1] 0.2895961\n", + "\n", + "$MSE_list[[84]][[62]]\n", + "[1] 0.3397512\n", + "\n", + "$MSE_list[[84]][[63]]\n", + "[1] 0.1918377\n", + "\n", + "$MSE_list[[84]][[64]]\n", + "[1] 0.172399\n", + "\n", + "$MSE_list[[84]][[65]]\n", + "[1] 0.2880375\n", + "\n", + "$MSE_list[[84]][[66]]\n", + "[1] 0.2809652\n", + "\n", + "$MSE_list[[84]][[67]]\n", + "[1] 0.3796347\n", + "\n", + "$MSE_list[[84]][[68]]\n", + "[1] 0.3503134\n", + "\n", + "$MSE_list[[84]][[69]]\n", + "[1] 0.2689693\n", + "\n", + "$MSE_list[[84]][[70]]\n", + "[1] 0.2915584\n", + "\n", + "$MSE_list[[84]][[71]]\n", + "[1] 0.2248886\n", + "\n", + "$MSE_list[[84]][[72]]\n", + "[1] 0.3249279\n", + "\n", + "$MSE_list[[84]][[73]]\n", + "[1] 0.2087207\n", + "\n", + "$MSE_list[[84]][[74]]\n", + "[1] 0.2697578\n", + "\n", + "$MSE_list[[84]][[75]]\n", + "[1] 0.2066864\n", + "\n", + "$MSE_list[[84]][[76]]\n", + "[1] 0.4221823\n", + "\n", + "$MSE_list[[84]][[77]]\n", + "[1] 0.1399491\n", + "\n", + "$MSE_list[[84]][[78]]\n", + "[1] 0.2079083\n", + "\n", + "$MSE_list[[84]][[79]]\n", + "[1] 0.3288052\n", + "\n", + "$MSE_list[[84]][[80]]\n", + "[1] 0.3389652\n", + "\n", + "$MSE_list[[84]][[81]]\n", + "[1] 0.3138069\n", + "\n", + "$MSE_list[[84]][[82]]\n", + "[1] 0.3110928\n", + "\n", + "$MSE_list[[84]][[83]]\n", + "[1] 0.3429087\n", + "\n", + "$MSE_list[[84]][[84]]\n", + "[1] 0.1729324\n", + "\n", + "$MSE_list[[84]][[85]]\n", + "[1] 0.2856353\n", + "\n", + "$MSE_list[[84]][[86]]\n", + "[1] 0.2882118\n", + "\n", + "$MSE_list[[84]][[87]]\n", + "[1] 0.2814808\n", + "\n", + "$MSE_list[[84]][[88]]\n", + "[1] 0.2839273\n", + "\n", + "$MSE_list[[84]][[89]]\n", + "[1] 0.303965\n", + "\n", + "$MSE_list[[84]][[90]]\n", + "[1] 0.2462855\n", + "\n", + "$MSE_list[[84]][[91]]\n", + "[1] 0.247409\n", + "\n", + "$MSE_list[[84]][[92]]\n", + "[1] 0.293095\n", + "\n", + "$MSE_list[[84]][[93]]\n", + "[1] 0.2921177\n", + "\n", + "$MSE_list[[84]][[94]]\n", + "[1] 0.2565083\n", + "\n", + "$MSE_list[[84]][[95]]\n", + "[1] 0.1399863\n", + "\n", + "$MSE_list[[84]][[96]]\n", + "[1] 0.3186781\n", + "\n", + "$MSE_list[[84]][[97]]\n", + "[1] 0.3186675\n", + "\n", + "$MSE_list[[84]][[98]]\n", + "[1] 0.2818225\n", + "\n", + "$MSE_list[[84]][[99]]\n", + "[1] 0.2293433\n", + "\n", + "$MSE_list[[84]][[100]]\n", + "[1] 0.3189548\n", + "\n", + "\n", + "$MSE_list[[85]]\n", + "$MSE_list[[85]][[1]]\n", + "[1] 0.1968515\n", + "\n", + "$MSE_list[[85]][[2]]\n", + "[1] 0.27928\n", + "\n", + "$MSE_list[[85]][[3]]\n", + "[1] 0.2634318\n", + "\n", + "$MSE_list[[85]][[4]]\n", + "[1] 0.1633157\n", + "\n", + "$MSE_list[[85]][[5]]\n", + "[1] 0.2787702\n", + "\n", + "$MSE_list[[85]][[6]]\n", + "[1] 0.2523293\n", + "\n", + "$MSE_list[[85]][[7]]\n", + "[1] 0.2839733\n", + "\n", + "$MSE_list[[85]][[8]]\n", + "[1] 0.3470579\n", + "\n", + "$MSE_list[[85]][[9]]\n", + "[1] 0.3891208\n", + "\n", + "$MSE_list[[85]][[10]]\n", + "[1] 0.2537009\n", + "\n", + "$MSE_list[[85]][[11]]\n", + "[1] 0.3531769\n", + "\n", + "$MSE_list[[85]][[12]]\n", + "[1] 0.2847245\n", + "\n", + "$MSE_list[[85]][[13]]\n", + "[1] 0.2903229\n", + "\n", + "$MSE_list[[85]][[14]]\n", + "[1] 0.374649\n", + "\n", + "$MSE_list[[85]][[15]]\n", + "[1] 0.08820093\n", + "\n", + "$MSE_list[[85]][[16]]\n", + "[1] 0.2383293\n", + "\n", + "$MSE_list[[85]][[17]]\n", + "[1] 0.2669585\n", + "\n", + "$MSE_list[[85]][[18]]\n", + "[1] 0.1751869\n", + "\n", + "$MSE_list[[85]][[19]]\n", + "[1] 0.2428561\n", + "\n", + "$MSE_list[[85]][[20]]\n", + "[1] 0.3146311\n", + "\n", + "$MSE_list[[85]][[21]]\n", + "[1] 0.2665965\n", + "\n", + "$MSE_list[[85]][[22]]\n", + "[1] 0.2905387\n", + "\n", + "$MSE_list[[85]][[23]]\n", + "[1] 0.3781003\n", + "\n", + "$MSE_list[[85]][[24]]\n", + "[1] 0.1892421\n", + "\n", + "$MSE_list[[85]][[25]]\n", + "[1] 0.4484978\n", + "\n", + "$MSE_list[[85]][[26]]\n", + "[1] 0.2075357\n", + "\n", + "$MSE_list[[85]][[27]]\n", + "[1] 0.3969783\n", + "\n", + "$MSE_list[[85]][[28]]\n", + "[1] 0.1903366\n", + "\n", + "$MSE_list[[85]][[29]]\n", + "[1] 0.3220503\n", + "\n", + "$MSE_list[[85]][[30]]\n", + "[1] 0.2223842\n", + "\n", + "$MSE_list[[85]][[31]]\n", + "[1] 0.4122591\n", + "\n", + "$MSE_list[[85]][[32]]\n", + "[1] 0.3467945\n", + "\n", + "$MSE_list[[85]][[33]]\n", + "[1] 0.3638777\n", + "\n", + "$MSE_list[[85]][[34]]\n", + "[1] 0.2441328\n", + "\n", + "$MSE_list[[85]][[35]]\n", + "[1] 0.409634\n", + "\n", + "$MSE_list[[85]][[36]]\n", + "[1] 0.2034814\n", + "\n", + "$MSE_list[[85]][[37]]\n", + "[1] 0.3174447\n", + "\n", + "$MSE_list[[85]][[38]]\n", + "[1] 0.2141671\n", + "\n", + "$MSE_list[[85]][[39]]\n", + "[1] 0.3213599\n", + "\n", + "$MSE_list[[85]][[40]]\n", + "[1] 0.323328\n", + "\n", + "$MSE_list[[85]][[41]]\n", + "[1] 0.254766\n", + "\n", + "$MSE_list[[85]][[42]]\n", + "[1] 0.3226601\n", + "\n", + "$MSE_list[[85]][[43]]\n", + "[1] 0.3084292\n", + "\n", + "$MSE_list[[85]][[44]]\n", + "[1] 0.3180292\n", + "\n", + "$MSE_list[[85]][[45]]\n", + "[1] 0.3004904\n", + "\n", + "$MSE_list[[85]][[46]]\n", + "[1] 0.3605268\n", + "\n", + "$MSE_list[[85]][[47]]\n", + "[1] 0.372466\n", + "\n", + "$MSE_list[[85]][[48]]\n", + "[1] 0.319224\n", + "\n", + "$MSE_list[[85]][[49]]\n", + "[1] 0.3561828\n", + "\n", + "$MSE_list[[85]][[50]]\n", + "[1] 0.1454108\n", + "\n", + "$MSE_list[[85]][[51]]\n", + "[1] 0.4212684\n", + "\n", + "$MSE_list[[85]][[52]]\n", + "[1] 0.3073109\n", + "\n", + "$MSE_list[[85]][[53]]\n", + "[1] 0.180733\n", + "\n", + "$MSE_list[[85]][[54]]\n", + "[1] 0.3542141\n", + "\n", + "$MSE_list[[85]][[55]]\n", + "[1] 0.1487015\n", + "\n", + "$MSE_list[[85]][[56]]\n", + "[1] 0.2376882\n", + "\n", + "$MSE_list[[85]][[57]]\n", + "[1] 0.2347549\n", + "\n", + "$MSE_list[[85]][[58]]\n", + "[1] 0.2302593\n", + "\n", + "$MSE_list[[85]][[59]]\n", + "[1] 0.3380385\n", + "\n", + "$MSE_list[[85]][[60]]\n", + "[1] 0.1981845\n", + "\n", + "$MSE_list[[85]][[61]]\n", + "[1] 0.2782845\n", + "\n", + "$MSE_list[[85]][[62]]\n", + "[1] 0.3727751\n", + "\n", + "$MSE_list[[85]][[63]]\n", + "[1] 0.1990041\n", + "\n", + "$MSE_list[[85]][[64]]\n", + "[1] 0.3002704\n", + "\n", + "$MSE_list[[85]][[65]]\n", + "[1] 0.428636\n", + "\n", + "$MSE_list[[85]][[66]]\n", + "[1] 0.2301653\n", + "\n", + "$MSE_list[[85]][[67]]\n", + "[1] 0.2461556\n", + "\n", + "$MSE_list[[85]][[68]]\n", + "[1] 0.2874355\n", + "\n", + "$MSE_list[[85]][[69]]\n", + "[1] 0.3118322\n", + "\n", + "$MSE_list[[85]][[70]]\n", + "[1] 0.3128439\n", + "\n", + "$MSE_list[[85]][[71]]\n", + "[1] 0.2489275\n", + "\n", + "$MSE_list[[85]][[72]]\n", + "[1] 0.2945918\n", + "\n", + "$MSE_list[[85]][[73]]\n", + "[1] 0.3283974\n", + "\n", + "$MSE_list[[85]][[74]]\n", + "[1] 0.3728541\n", + "\n", + "$MSE_list[[85]][[75]]\n", + "[1] 0.3023332\n", + "\n", + "$MSE_list[[85]][[76]]\n", + "[1] 0.2690264\n", + "\n", + "$MSE_list[[85]][[77]]\n", + "[1] 0.1402688\n", + "\n", + "$MSE_list[[85]][[78]]\n", + "[1] 0.1512689\n", + "\n", + "$MSE_list[[85]][[79]]\n", + "[1] 0.1790532\n", + "\n", + "$MSE_list[[85]][[80]]\n", + "[1] 0.3094501\n", + "\n", + "$MSE_list[[85]][[81]]\n", + "[1] 0.3345455\n", + "\n", + "$MSE_list[[85]][[82]]\n", + "[1] 0.2465607\n", + "\n", + "$MSE_list[[85]][[83]]\n", + "[1] 0.2475269\n", + "\n", + "$MSE_list[[85]][[84]]\n", + "[1] 0.3431078\n", + "\n", + "$MSE_list[[85]][[85]]\n", + "[1] 0.2216548\n", + "\n", + "$MSE_list[[85]][[86]]\n", + "[1] 0.3637557\n", + "\n", + "$MSE_list[[85]][[87]]\n", + "[1] 0.3194879\n", + "\n", + "$MSE_list[[85]][[88]]\n", + "[1] 0.4209946\n", + "\n", + "$MSE_list[[85]][[89]]\n", + "[1] 0.231806\n", + "\n", + "$MSE_list[[85]][[90]]\n", + "[1] 0.2214543\n", + "\n", + "$MSE_list[[85]][[91]]\n", + "[1] 0.2489844\n", + "\n", + "$MSE_list[[85]][[92]]\n", + "[1] 0.3441401\n", + "\n", + "$MSE_list[[85]][[93]]\n", + "[1] 0.3968156\n", + "\n", + "$MSE_list[[85]][[94]]\n", + "[1] 0.3445952\n", + "\n", + "$MSE_list[[85]][[95]]\n", + "[1] 0.1322101\n", + "\n", + "$MSE_list[[85]][[96]]\n", + "[1] 0.3635055\n", + "\n", + "$MSE_list[[85]][[97]]\n", + "[1] 0.143066\n", + "\n", + "$MSE_list[[85]][[98]]\n", + "[1] 0.3967219\n", + "\n", + "$MSE_list[[85]][[99]]\n", + "[1] 0.2304226\n", + "\n", + "$MSE_list[[85]][[100]]\n", + "[1] 0.1442389\n", + "\n", + "\n", + "$MSE_list[[86]]\n", + "$MSE_list[[86]][[1]]\n", + "[1] 0.4216352\n", + "\n", + "$MSE_list[[86]][[2]]\n", + "[1] 0.1660967\n", + "\n", + "$MSE_list[[86]][[3]]\n", + "[1] 0.1693775\n", + "\n", + "$MSE_list[[86]][[4]]\n", + "[1] 0.2058948\n", + "\n", + "$MSE_list[[86]][[5]]\n", + "[1] 0.1715288\n", + "\n", + "$MSE_list[[86]][[6]]\n", + "[1] 0.233716\n", + "\n", + "$MSE_list[[86]][[7]]\n", + "[1] 0.275421\n", + "\n", + "$MSE_list[[86]][[8]]\n", + "[1] 0.08053773\n", + "\n", + "$MSE_list[[86]][[9]]\n", + "[1] 0.2974343\n", + "\n", + "$MSE_list[[86]][[10]]\n", + "[1] 0.1584875\n", + "\n", + "$MSE_list[[86]][[11]]\n", + "[1] 0.3029454\n", + "\n", + "$MSE_list[[86]][[12]]\n", + "[1] 0.245224\n", + "\n", + "$MSE_list[[86]][[13]]\n", + "[1] 0.264626\n", + "\n", + "$MSE_list[[86]][[14]]\n", + "[1] 0.2416493\n", + "\n", + "$MSE_list[[86]][[15]]\n", + "[1] 0.2902891\n", + "\n", + "$MSE_list[[86]][[16]]\n", + "[1] 0.2297616\n", + "\n", + "$MSE_list[[86]][[17]]\n", + "[1] 0.255769\n", + "\n", + "$MSE_list[[86]][[18]]\n", + "[1] 0.1007605\n", + "\n", + "$MSE_list[[86]][[19]]\n", + "[1] 0.1895531\n", + "\n", + "$MSE_list[[86]][[20]]\n", + "[1] 0.3126597\n", + "\n", + "$MSE_list[[86]][[21]]\n", + "[1] 0.2742296\n", + "\n", + "$MSE_list[[86]][[22]]\n", + "[1] 0.2619484\n", + "\n", + "$MSE_list[[86]][[23]]\n", + "[1] 0.2387082\n", + "\n", + "$MSE_list[[86]][[24]]\n", + "[1] 0.3231904\n", + "\n", + "$MSE_list[[86]][[25]]\n", + "[1] 0.3488232\n", + "\n", + "$MSE_list[[86]][[26]]\n", + "[1] 0.2548065\n", + "\n", + "$MSE_list[[86]][[27]]\n", + "[1] 0.2485157\n", + "\n", + "$MSE_list[[86]][[28]]\n", + "[1] 0.238086\n", + "\n", + "$MSE_list[[86]][[29]]\n", + "[1] 0.245138\n", + "\n", + "$MSE_list[[86]][[30]]\n", + "[1] 0.2593613\n", + "\n", + "$MSE_list[[86]][[31]]\n", + "[1] 0.1366794\n", + "\n", + "$MSE_list[[86]][[32]]\n", + "[1] 0.1350397\n", + "\n", + "$MSE_list[[86]][[33]]\n", + "[1] 0.1298175\n", + "\n", + "$MSE_list[[86]][[34]]\n", + "[1] 0.3319508\n", + "\n", + "$MSE_list[[86]][[35]]\n", + "[1] 0.3500755\n", + "\n", + "$MSE_list[[86]][[36]]\n", + "[1] 0.2194526\n", + "\n", + "$MSE_list[[86]][[37]]\n", + "[1] 0.2681493\n", + "\n", + "$MSE_list[[86]][[38]]\n", + "[1] 0.1210331\n", + "\n", + "$MSE_list[[86]][[39]]\n", + "[1] 0.1686636\n", + "\n", + "$MSE_list[[86]][[40]]\n", + "[1] 0.2766269\n", + "\n", + "$MSE_list[[86]][[41]]\n", + "[1] 0.2123863\n", + "\n", + "$MSE_list[[86]][[42]]\n", + "[1] 0.2105809\n", + "\n", + "$MSE_list[[86]][[43]]\n", + "[1] 0.3631032\n", + "\n", + "$MSE_list[[86]][[44]]\n", + "[1] 0.2056903\n", + "\n", + "$MSE_list[[86]][[45]]\n", + "[1] 0.09417686\n", + "\n", + "$MSE_list[[86]][[46]]\n", + "[1] 0.2019982\n", + "\n", + "$MSE_list[[86]][[47]]\n", + "[1] 0.2237856\n", + "\n", + "$MSE_list[[86]][[48]]\n", + "[1] 0.1529223\n", + "\n", + "$MSE_list[[86]][[49]]\n", + "[1] 0.3206968\n", + "\n", + "$MSE_list[[86]][[50]]\n", + "[1] 0.2638911\n", + "\n", + "$MSE_list[[86]][[51]]\n", + "[1] 0.08553794\n", + "\n", + "$MSE_list[[86]][[52]]\n", + "[1] 0.283983\n", + "\n", + "$MSE_list[[86]][[53]]\n", + "[1] 0.08125828\n", + "\n", + "$MSE_list[[86]][[54]]\n", + "[1] 0.1539256\n", + "\n", + "$MSE_list[[86]][[55]]\n", + "[1] 0.07711842\n", + "\n", + "$MSE_list[[86]][[56]]\n", + "[1] 0.1172035\n", + "\n", + "$MSE_list[[86]][[57]]\n", + "[1] 0.2487241\n", + "\n", + "$MSE_list[[86]][[58]]\n", + "[1] 0.1987529\n", + "\n", + "$MSE_list[[86]][[59]]\n", + "[1] 0.1365801\n", + "\n", + "$MSE_list[[86]][[60]]\n", + "[1] 0.153748\n", + "\n", + "$MSE_list[[86]][[61]]\n", + "[1] 0.2925647\n", + "\n", + "$MSE_list[[86]][[62]]\n", + "[1] 0.3188624\n", + "\n", + "$MSE_list[[86]][[63]]\n", + "[1] 0.2433664\n", + "\n", + "$MSE_list[[86]][[64]]\n", + "[1] 0.1912633\n", + "\n", + "$MSE_list[[86]][[65]]\n", + "[1] 0.2784716\n", + "\n", + "$MSE_list[[86]][[66]]\n", + "[1] 0.2937368\n", + "\n", + "$MSE_list[[86]][[67]]\n", + "[1] 0.3213286\n", + "\n", + "$MSE_list[[86]][[68]]\n", + "[1] 0.2453956\n", + "\n", + "$MSE_list[[86]][[69]]\n", + "[1] 0.3210274\n", + "\n", + "$MSE_list[[86]][[70]]\n", + "[1] 0.1828424\n", + "\n", + "$MSE_list[[86]][[71]]\n", + "[1] 0.3253654\n", + "\n", + "$MSE_list[[86]][[72]]\n", + "[1] 0.4104859\n", + "\n", + "$MSE_list[[86]][[73]]\n", + "[1] 0.2105191\n", + "\n", + "$MSE_list[[86]][[74]]\n", + "[1] 0.2059237\n", + "\n", + "$MSE_list[[86]][[75]]\n", + "[1] 0.2468941\n", + "\n", + "$MSE_list[[86]][[76]]\n", + "[1] 0.08987078\n", + "\n", + "$MSE_list[[86]][[77]]\n", + "[1] 0.1795915\n", + "\n", + "$MSE_list[[86]][[78]]\n", + "[1] 0.2449659\n", + "\n", + "$MSE_list[[86]][[79]]\n", + "[1] 0.3357588\n", + "\n", + "$MSE_list[[86]][[80]]\n", + "[1] 0.3548363\n", + "\n", + "$MSE_list[[86]][[81]]\n", + "[1] 0.2442703\n", + "\n", + "$MSE_list[[86]][[82]]\n", + "[1] 0.1515535\n", + "\n", + "$MSE_list[[86]][[83]]\n", + "[1] 0.2619856\n", + "\n", + "$MSE_list[[86]][[84]]\n", + "[1] 0.2762695\n", + "\n", + "$MSE_list[[86]][[85]]\n", + "[1] 0.2109936\n", + "\n", + "$MSE_list[[86]][[86]]\n", + "[1] 0.2890497\n", + "\n", + "$MSE_list[[86]][[87]]\n", + "[1] 0.2151006\n", + "\n", + "$MSE_list[[86]][[88]]\n", + "[1] 0.1728251\n", + "\n", + "$MSE_list[[86]][[89]]\n", + "[1] 0.2192389\n", + "\n", + "$MSE_list[[86]][[90]]\n", + "[1] 0.3927275\n", + "\n", + "$MSE_list[[86]][[91]]\n", + "[1] 0.2826385\n", + "\n", + "$MSE_list[[86]][[92]]\n", + "[1] 0.2701825\n", + "\n", + "$MSE_list[[86]][[93]]\n", + "[1] 0.2187391\n", + "\n", + "$MSE_list[[86]][[94]]\n", + "[1] 0.2590125\n", + "\n", + "$MSE_list[[86]][[95]]\n", + "[1] 0.2797673\n", + "\n", + "$MSE_list[[86]][[96]]\n", + "[1] 0.2537923\n", + "\n", + "$MSE_list[[86]][[97]]\n", + "[1] 0.3342999\n", + "\n", + "$MSE_list[[86]][[98]]\n", + "[1] 0.155764\n", + "\n", + "$MSE_list[[86]][[99]]\n", + "[1] 0.2209061\n", + "\n", + "$MSE_list[[86]][[100]]\n", + "[1] 0.2799454\n", + "\n", + "\n", + "$MSE_list[[87]]\n", + "$MSE_list[[87]][[1]]\n", + "[1] 0.2572582\n", + "\n", + "$MSE_list[[87]][[2]]\n", + "[1] 0.222914\n", + "\n", + "$MSE_list[[87]][[3]]\n", + "[1] 0.1587285\n", + "\n", + "$MSE_list[[87]][[4]]\n", + "[1] 0.2457796\n", + "\n", + "$MSE_list[[87]][[5]]\n", + "[1] 0.389484\n", + "\n", + "$MSE_list[[87]][[6]]\n", + "[1] 0.1657007\n", + "\n", + "$MSE_list[[87]][[7]]\n", + "[1] 0.1749913\n", + "\n", + "$MSE_list[[87]][[8]]\n", + "[1] 0.175604\n", + "\n", + "$MSE_list[[87]][[9]]\n", + "[1] 0.1594009\n", + "\n", + "$MSE_list[[87]][[10]]\n", + "[1] 0.1314202\n", + "\n", + "$MSE_list[[87]][[11]]\n", + "[1] 0.2056251\n", + "\n", + "$MSE_list[[87]][[12]]\n", + "[1] 0.1943824\n", + "\n", + "$MSE_list[[87]][[13]]\n", + "[1] 0.2208616\n", + "\n", + "$MSE_list[[87]][[14]]\n", + "[1] 0.2003723\n", + "\n", + "$MSE_list[[87]][[15]]\n", + "[1] 0.2175108\n", + "\n", + "$MSE_list[[87]][[16]]\n", + "[1] 0.2429362\n", + "\n", + "$MSE_list[[87]][[17]]\n", + "[1] 0.1605845\n", + "\n", + "$MSE_list[[87]][[18]]\n", + "[1] 0.1846543\n", + "\n", + "$MSE_list[[87]][[19]]\n", + "[1] 0.2392219\n", + "\n", + "$MSE_list[[87]][[20]]\n", + "[1] 0.1071379\n", + "\n", + "$MSE_list[[87]][[21]]\n", + "[1] 0.2073474\n", + "\n", + "$MSE_list[[87]][[22]]\n", + "[1] 0.1221077\n", + "\n", + "$MSE_list[[87]][[23]]\n", + "[1] 0.2015698\n", + "\n", + "$MSE_list[[87]][[24]]\n", + "[1] 0.1352854\n", + "\n", + "$MSE_list[[87]][[25]]\n", + "[1] 0.1444472\n", + "\n", + "$MSE_list[[87]][[26]]\n", + "[1] 0.1940948\n", + "\n", + "$MSE_list[[87]][[27]]\n", + "[1] 0.1055588\n", + "\n", + "$MSE_list[[87]][[28]]\n", + "[1] 0.1679312\n", + "\n", + "$MSE_list[[87]][[29]]\n", + "[1] 0.1877017\n", + "\n", + "$MSE_list[[87]][[30]]\n", + "[1] 0.1517781\n", + "\n", + "$MSE_list[[87]][[31]]\n", + "[1] 0.2510638\n", + "\n", + "$MSE_list[[87]][[32]]\n", + "[1] 0.233314\n", + "\n", + "$MSE_list[[87]][[33]]\n", + "[1] 0.1898559\n", + "\n", + "$MSE_list[[87]][[34]]\n", + "[1] 0.1977\n", + "\n", + "$MSE_list[[87]][[35]]\n", + "[1] 0.1852419\n", + "\n", + "$MSE_list[[87]][[36]]\n", + "[1] 0.2856677\n", + "\n", + "$MSE_list[[87]][[37]]\n", + "[1] 0.1943581\n", + "\n", + "$MSE_list[[87]][[38]]\n", + "[1] 0.2025654\n", + "\n", + "$MSE_list[[87]][[39]]\n", + "[1] 0.2340072\n", + "\n", + "$MSE_list[[87]][[40]]\n", + "[1] 0.2457172\n", + "\n", + "$MSE_list[[87]][[41]]\n", + "[1] 0.2947033\n", + "\n", + "$MSE_list[[87]][[42]]\n", + "[1] 0.2060448\n", + "\n", + "$MSE_list[[87]][[43]]\n", + "[1] 0.3305641\n", + "\n", + "$MSE_list[[87]][[44]]\n", + "[1] 0.2728535\n", + "\n", + "$MSE_list[[87]][[45]]\n", + "[1] 0.1227731\n", + "\n", + "$MSE_list[[87]][[46]]\n", + "[1] 0.2182023\n", + "\n", + "$MSE_list[[87]][[47]]\n", + "[1] 0.2280857\n", + "\n", + "$MSE_list[[87]][[48]]\n", + "[1] 0.1739285\n", + "\n", + "$MSE_list[[87]][[49]]\n", + "[1] 0.1592539\n", + "\n", + "$MSE_list[[87]][[50]]\n", + "[1] 0.1682062\n", + "\n", + "$MSE_list[[87]][[51]]\n", + "[1] 0.224948\n", + "\n", + "$MSE_list[[87]][[52]]\n", + "[1] 0.1340444\n", + "\n", + "$MSE_list[[87]][[53]]\n", + "[1] 0.2696094\n", + "\n", + "$MSE_list[[87]][[54]]\n", + "[1] 0.1292696\n", + "\n", + "$MSE_list[[87]][[55]]\n", + "[1] 0.2061483\n", + "\n", + "$MSE_list[[87]][[56]]\n", + "[1] 0.256936\n", + "\n", + "$MSE_list[[87]][[57]]\n", + "[1] 0.1132744\n", + "\n", + "$MSE_list[[87]][[58]]\n", + "[1] 0.2269388\n", + "\n", + "$MSE_list[[87]][[59]]\n", + "[1] 0.1679771\n", + "\n", + "$MSE_list[[87]][[60]]\n", + "[1] 0.1681974\n", + "\n", + "$MSE_list[[87]][[61]]\n", + "[1] 0.2146617\n", + "\n", + "$MSE_list[[87]][[62]]\n", + "[1] 0.2317264\n", + "\n", + "$MSE_list[[87]][[63]]\n", + "[1] 0.08803839\n", + "\n", + "$MSE_list[[87]][[64]]\n", + "[1] 0.3386336\n", + "\n", + "$MSE_list[[87]][[65]]\n", + "[1] 0.3255088\n", + "\n", + "$MSE_list[[87]][[66]]\n", + "[1] 0.1641921\n", + "\n", + "$MSE_list[[87]][[67]]\n", + "[1] 0.2282407\n", + "\n", + "$MSE_list[[87]][[68]]\n", + "[1] 0.2100584\n", + "\n", + "$MSE_list[[87]][[69]]\n", + "[1] 0.2192902\n", + "\n", + "$MSE_list[[87]][[70]]\n", + "[1] 0.1786818\n", + "\n", + "$MSE_list[[87]][[71]]\n", + "[1] 0.1349346\n", + "\n", + "$MSE_list[[87]][[72]]\n", + "[1] 0.1943303\n", + "\n", + "$MSE_list[[87]][[73]]\n", + "[1] 0.2571344\n", + "\n", + "$MSE_list[[87]][[74]]\n", + "[1] 0.2666601\n", + "\n", + "$MSE_list[[87]][[75]]\n", + "[1] 0.09551628\n", + "\n", + "$MSE_list[[87]][[76]]\n", + "[1] 0.2337058\n", + "\n", + "$MSE_list[[87]][[77]]\n", + "[1] 0.2187209\n", + "\n", + "$MSE_list[[87]][[78]]\n", + "[1] 0.1494012\n", + "\n", + "$MSE_list[[87]][[79]]\n", + "[1] 0.3191785\n", + "\n", + "$MSE_list[[87]][[80]]\n", + "[1] 0.1005898\n", + "\n", + "$MSE_list[[87]][[81]]\n", + "[1] 0.3782602\n", + "\n", + "$MSE_list[[87]][[82]]\n", + "[1] 0.2042097\n", + "\n", + "$MSE_list[[87]][[83]]\n", + "[1] 0.1907617\n", + "\n", + "$MSE_list[[87]][[84]]\n", + "[1] 0.2851156\n", + "\n", + "$MSE_list[[87]][[85]]\n", + "[1] 0.1985716\n", + "\n", + "$MSE_list[[87]][[86]]\n", + "[1] 0.2181359\n", + "\n", + "$MSE_list[[87]][[87]]\n", + "[1] 0.1351971\n", + "\n", + "$MSE_list[[87]][[88]]\n", + "[1] 0.09492495\n", + "\n", + "$MSE_list[[87]][[89]]\n", + "[1] 0.2152874\n", + "\n", + "$MSE_list[[87]][[90]]\n", + "[1] 0.1766264\n", + "\n", + "$MSE_list[[87]][[91]]\n", + "[1] 0.2123658\n", + "\n", + "$MSE_list[[87]][[92]]\n", + "[1] 0.238328\n", + "\n", + "$MSE_list[[87]][[93]]\n", + "[1] 0.1531118\n", + "\n", + "$MSE_list[[87]][[94]]\n", + "[1] 0.2027246\n", + "\n", + "$MSE_list[[87]][[95]]\n", + "[1] 0.1666848\n", + "\n", + "$MSE_list[[87]][[96]]\n", + "[1] 0.2146383\n", + "\n", + "$MSE_list[[87]][[97]]\n", + "[1] 0.1429142\n", + "\n", + "$MSE_list[[87]][[98]]\n", + "[1] 0.2238575\n", + "\n", + "$MSE_list[[87]][[99]]\n", + "[1] 0.1028261\n", + "\n", + "$MSE_list[[87]][[100]]\n", + "[1] 0.270552\n", + "\n", + "\n", + "$MSE_list[[88]]\n", + "$MSE_list[[88]][[1]]\n", + "[1] 0.227825\n", + "\n", + "$MSE_list[[88]][[2]]\n", + "[1] 0.3882626\n", + "\n", + "$MSE_list[[88]][[3]]\n", + "[1] 0.1582292\n", + "\n", + "$MSE_list[[88]][[4]]\n", + "[1] 0.2576748\n", + "\n", + "$MSE_list[[88]][[5]]\n", + "[1] 0.174183\n", + "\n", + "$MSE_list[[88]][[6]]\n", + "[1] 0.3122799\n", + "\n", + "$MSE_list[[88]][[7]]\n", + "[1] 0.2547732\n", + "\n", + "$MSE_list[[88]][[8]]\n", + "[1] 0.1936038\n", + "\n", + "$MSE_list[[88]][[9]]\n", + "[1] 0.3542939\n", + "\n", + "$MSE_list[[88]][[10]]\n", + "[1] 0.2555414\n", + "\n", + "$MSE_list[[88]][[11]]\n", + "[1] 0.3015297\n", + "\n", + "$MSE_list[[88]][[12]]\n", + "[1] 0.3225969\n", + "\n", + "$MSE_list[[88]][[13]]\n", + "[1] 0.2584484\n", + "\n", + "$MSE_list[[88]][[14]]\n", + "[1] 0.1916432\n", + "\n", + "$MSE_list[[88]][[15]]\n", + "[1] 0.1586414\n", + "\n", + "$MSE_list[[88]][[16]]\n", + "[1] 0.3888549\n", + "\n", + "$MSE_list[[88]][[17]]\n", + "[1] 0.2316409\n", + "\n", + "$MSE_list[[88]][[18]]\n", + "[1] 0.2438505\n", + "\n", + "$MSE_list[[88]][[19]]\n", + "[1] 0.2386452\n", + "\n", + "$MSE_list[[88]][[20]]\n", + "[1] 0.329682\n", + "\n", + "$MSE_list[[88]][[21]]\n", + "[1] 0.2836231\n", + "\n", + "$MSE_list[[88]][[22]]\n", + "[1] 0.4358919\n", + "\n", + "$MSE_list[[88]][[23]]\n", + "[1] 0.3404977\n", + "\n", + "$MSE_list[[88]][[24]]\n", + "[1] 0.2132018\n", + "\n", + "$MSE_list[[88]][[25]]\n", + "[1] 0.2747405\n", + "\n", + "$MSE_list[[88]][[26]]\n", + "[1] 0.2159974\n", + "\n", + "$MSE_list[[88]][[27]]\n", + "[1] 0.2667549\n", + "\n", + "$MSE_list[[88]][[28]]\n", + "[1] 0.2432655\n", + "\n", + "$MSE_list[[88]][[29]]\n", + "[1] 0.1670088\n", + "\n", + "$MSE_list[[88]][[30]]\n", + "[1] 0.3236264\n", + "\n", + "$MSE_list[[88]][[31]]\n", + "[1] 0.1888088\n", + "\n", + "$MSE_list[[88]][[32]]\n", + "[1] 0.1702483\n", + "\n", + "$MSE_list[[88]][[33]]\n", + "[1] 0.3199069\n", + "\n", + "$MSE_list[[88]][[34]]\n", + "[1] 0.3213737\n", + "\n", + "$MSE_list[[88]][[35]]\n", + "[1] 0.2243992\n", + "\n", + "$MSE_list[[88]][[36]]\n", + "[1] 0.2208224\n", + "\n", + "$MSE_list[[88]][[37]]\n", + "[1] 0.290257\n", + "\n", + "$MSE_list[[88]][[38]]\n", + "[1] 0.2114777\n", + "\n", + "$MSE_list[[88]][[39]]\n", + "[1] 0.2711073\n", + "\n", + "$MSE_list[[88]][[40]]\n", + "[1] 0.2091779\n", + "\n", + "$MSE_list[[88]][[41]]\n", + "[1] 0.2711749\n", + "\n", + "$MSE_list[[88]][[42]]\n", + "[1] 0.206529\n", + "\n", + "$MSE_list[[88]][[43]]\n", + "[1] 0.2936024\n", + "\n", + "$MSE_list[[88]][[44]]\n", + "[1] 0.2690088\n", + "\n", + "$MSE_list[[88]][[45]]\n", + "[1] 0.3352882\n", + "\n", + "$MSE_list[[88]][[46]]\n", + "[1] 0.2613409\n", + "\n", + "$MSE_list[[88]][[47]]\n", + "[1] 0.2181591\n", + "\n", + "$MSE_list[[88]][[48]]\n", + "[1] 0.2794966\n", + "\n", + "$MSE_list[[88]][[49]]\n", + "[1] 0.1880882\n", + "\n", + "$MSE_list[[88]][[50]]\n", + "[1] 0.2784004\n", + "\n", + "$MSE_list[[88]][[51]]\n", + "[1] 0.2772159\n", + "\n", + "$MSE_list[[88]][[52]]\n", + "[1] 0.1351585\n", + "\n", + "$MSE_list[[88]][[53]]\n", + "[1] 0.4245481\n", + "\n", + "$MSE_list[[88]][[54]]\n", + "[1] 0.2701019\n", + "\n", + "$MSE_list[[88]][[55]]\n", + "[1] 0.4157145\n", + "\n", + "$MSE_list[[88]][[56]]\n", + "[1] 0.3637065\n", + "\n", + "$MSE_list[[88]][[57]]\n", + "[1] 0.1517101\n", + "\n", + "$MSE_list[[88]][[58]]\n", + "[1] 0.2691417\n", + "\n", + "$MSE_list[[88]][[59]]\n", + "[1] 0.2946474\n", + "\n", + "$MSE_list[[88]][[60]]\n", + "[1] 0.2783759\n", + "\n", + "$MSE_list[[88]][[61]]\n", + "[1] 0.189819\n", + "\n", + "$MSE_list[[88]][[62]]\n", + "[1] 0.2720717\n", + "\n", + "$MSE_list[[88]][[63]]\n", + "[1] 0.2848937\n", + "\n", + "$MSE_list[[88]][[64]]\n", + "[1] 0.3238959\n", + "\n", + "$MSE_list[[88]][[65]]\n", + "[1] 0.1876824\n", + "\n", + "$MSE_list[[88]][[66]]\n", + "[1] 0.2430029\n", + "\n", + "$MSE_list[[88]][[67]]\n", + "[1] 0.4392992\n", + "\n", + "$MSE_list[[88]][[68]]\n", + "[1] 0.2933927\n", + "\n", + "$MSE_list[[88]][[69]]\n", + "[1] 0.3848244\n", + "\n", + "$MSE_list[[88]][[70]]\n", + "[1] 0.2662038\n", + "\n", + "$MSE_list[[88]][[71]]\n", + "[1] 0.2040448\n", + "\n", + "$MSE_list[[88]][[72]]\n", + "[1] 0.2508594\n", + "\n", + "$MSE_list[[88]][[73]]\n", + "[1] 0.2585383\n", + "\n", + "$MSE_list[[88]][[74]]\n", + "[1] 0.2451998\n", + "\n", + "$MSE_list[[88]][[75]]\n", + "[1] 0.2850934\n", + "\n", + "$MSE_list[[88]][[76]]\n", + "[1] 0.2021715\n", + "\n", + "$MSE_list[[88]][[77]]\n", + "[1] 0.2096009\n", + "\n", + "$MSE_list[[88]][[78]]\n", + "[1] 0.2392145\n", + "\n", + "$MSE_list[[88]][[79]]\n", + "[1] 0.2632087\n", + "\n", + "$MSE_list[[88]][[80]]\n", + "[1] 0.07714385\n", + "\n", + "$MSE_list[[88]][[81]]\n", + "[1] 0.2852114\n", + "\n", + "$MSE_list[[88]][[82]]\n", + "[1] 0.1433546\n", + "\n", + "$MSE_list[[88]][[83]]\n", + "[1] 0.3705326\n", + "\n", + "$MSE_list[[88]][[84]]\n", + "[1] 0.2848326\n", + "\n", + "$MSE_list[[88]][[85]]\n", + "[1] 0.2780219\n", + "\n", + "$MSE_list[[88]][[86]]\n", + "[1] 0.4185906\n", + "\n", + "$MSE_list[[88]][[87]]\n", + "[1] 0.3809772\n", + "\n", + "$MSE_list[[88]][[88]]\n", + "[1] 0.2985603\n", + "\n", + "$MSE_list[[88]][[89]]\n", + "[1] 0.1870427\n", + "\n", + "$MSE_list[[88]][[90]]\n", + "[1] 0.2756549\n", + "\n", + "$MSE_list[[88]][[91]]\n", + "[1] 0.2294776\n", + "\n", + "$MSE_list[[88]][[92]]\n", + "[1] 0.3126995\n", + "\n", + "$MSE_list[[88]][[93]]\n", + "[1] 0.2341723\n", + "\n", + "$MSE_list[[88]][[94]]\n", + "[1] 0.3391001\n", + "\n", + "$MSE_list[[88]][[95]]\n", + "[1] 0.3683406\n", + "\n", + "$MSE_list[[88]][[96]]\n", + "[1] 0.2179102\n", + "\n", + "$MSE_list[[88]][[97]]\n", + "[1] 0.304617\n", + "\n", + "$MSE_list[[88]][[98]]\n", + "[1] 0.3448737\n", + "\n", + "$MSE_list[[88]][[99]]\n", + "[1] 0.3590431\n", + "\n", + "$MSE_list[[88]][[100]]\n", + "[1] 0.2290162\n", + "\n", + "\n", + "$MSE_list[[89]]\n", + "$MSE_list[[89]][[1]]\n", + "[1] 0.2698584\n", + "\n", + "$MSE_list[[89]][[2]]\n", + "[1] 0.1472833\n", + "\n", + "$MSE_list[[89]][[3]]\n", + "[1] 0.1923947\n", + "\n", + "$MSE_list[[89]][[4]]\n", + "[1] 0.1670014\n", + "\n", + "$MSE_list[[89]][[5]]\n", + "[1] 0.2517802\n", + "\n", + "$MSE_list[[89]][[6]]\n", + "[1] 0.2971374\n", + "\n", + "$MSE_list[[89]][[7]]\n", + "[1] 0.3017697\n", + "\n", + "$MSE_list[[89]][[8]]\n", + "[1] 0.1918426\n", + "\n", + "$MSE_list[[89]][[9]]\n", + "[1] 0.1641567\n", + "\n", + "$MSE_list[[89]][[10]]\n", + "[1] 0.2502223\n", + "\n", + "$MSE_list[[89]][[11]]\n", + "[1] 0.1768866\n", + "\n", + "$MSE_list[[89]][[12]]\n", + "[1] 0.2546246\n", + "\n", + "$MSE_list[[89]][[13]]\n", + "[1] 0.3323611\n", + "\n", + "$MSE_list[[89]][[14]]\n", + "[1] 0.1763545\n", + "\n", + "$MSE_list[[89]][[15]]\n", + "[1] 0.1410228\n", + "\n", + "$MSE_list[[89]][[16]]\n", + "[1] 0.2624249\n", + "\n", + "$MSE_list[[89]][[17]]\n", + "[1] 0.2318951\n", + "\n", + "$MSE_list[[89]][[18]]\n", + "[1] 0.3270197\n", + "\n", + "$MSE_list[[89]][[19]]\n", + "[1] 0.1487771\n", + "\n", + "$MSE_list[[89]][[20]]\n", + "[1] 0.2907866\n", + "\n", + "$MSE_list[[89]][[21]]\n", + "[1] 0.2732573\n", + "\n", + "$MSE_list[[89]][[22]]\n", + "[1] 0.2207739\n", + "\n", + "$MSE_list[[89]][[23]]\n", + "[1] 0.1808862\n", + "\n", + "$MSE_list[[89]][[24]]\n", + "[1] 0.1949522\n", + "\n", + "$MSE_list[[89]][[25]]\n", + "[1] 0.2606781\n", + "\n", + "$MSE_list[[89]][[26]]\n", + "[1] 0.2542441\n", + "\n", + "$MSE_list[[89]][[27]]\n", + "[1] 0.1172079\n", + "\n", + "$MSE_list[[89]][[28]]\n", + "[1] 0.4995003\n", + "\n", + "$MSE_list[[89]][[29]]\n", + "[1] 0.1794526\n", + "\n", + "$MSE_list[[89]][[30]]\n", + "[1] 0.09840419\n", + "\n", + "$MSE_list[[89]][[31]]\n", + "[1] 0.2442839\n", + "\n", + "$MSE_list[[89]][[32]]\n", + "[1] 0.2322182\n", + "\n", + "$MSE_list[[89]][[33]]\n", + "[1] 0.2974032\n", + "\n", + "$MSE_list[[89]][[34]]\n", + "[1] 0.2208819\n", + "\n", + "$MSE_list[[89]][[35]]\n", + "[1] 0.308547\n", + "\n", + "$MSE_list[[89]][[36]]\n", + "[1] 0.3133183\n", + "\n", + "$MSE_list[[89]][[37]]\n", + "[1] 0.1736462\n", + "\n", + "$MSE_list[[89]][[38]]\n", + "[1] 0.2608472\n", + "\n", + "$MSE_list[[89]][[39]]\n", + "[1] 0.2344223\n", + "\n", + "$MSE_list[[89]][[40]]\n", + "[1] 0.3118397\n", + "\n", + "$MSE_list[[89]][[41]]\n", + "[1] 0.1175875\n", + "\n", + "$MSE_list[[89]][[42]]\n", + "[1] 0.2721617\n", + "\n", + "$MSE_list[[89]][[43]]\n", + "[1] 0.3318953\n", + "\n", + "$MSE_list[[89]][[44]]\n", + "[1] 0.1598176\n", + "\n", + "$MSE_list[[89]][[45]]\n", + "[1] 0.1865475\n", + "\n", + "$MSE_list[[89]][[46]]\n", + "[1] 0.3511771\n", + "\n", + "$MSE_list[[89]][[47]]\n", + "[1] 0.157629\n", + "\n", + "$MSE_list[[89]][[48]]\n", + "[1] 0.1760992\n", + "\n", + "$MSE_list[[89]][[49]]\n", + "[1] 0.219384\n", + "\n", + "$MSE_list[[89]][[50]]\n", + "[1] 0.2756796\n", + "\n", + "$MSE_list[[89]][[51]]\n", + "[1] 0.1068468\n", + "\n", + "$MSE_list[[89]][[52]]\n", + "[1] 0.1371443\n", + "\n", + "$MSE_list[[89]][[53]]\n", + "[1] 0.1520955\n", + "\n", + "$MSE_list[[89]][[54]]\n", + "[1] 0.294339\n", + "\n", + "$MSE_list[[89]][[55]]\n", + "[1] 0.1397869\n", + "\n", + "$MSE_list[[89]][[56]]\n", + "[1] 0.3297042\n", + "\n", + "$MSE_list[[89]][[57]]\n", + "[1] 0.1270154\n", + "\n", + "$MSE_list[[89]][[58]]\n", + "[1] 0.1748542\n", + "\n", + "$MSE_list[[89]][[59]]\n", + "[1] 0.3468764\n", + "\n", + "$MSE_list[[89]][[60]]\n", + "[1] 0.1312793\n", + "\n", + "$MSE_list[[89]][[61]]\n", + "[1] 0.2467588\n", + "\n", + "$MSE_list[[89]][[62]]\n", + "[1] 0.2429097\n", + "\n", + "$MSE_list[[89]][[63]]\n", + "[1] 0.2609187\n", + "\n", + "$MSE_list[[89]][[64]]\n", + "[1] 0.1744421\n", + "\n", + "$MSE_list[[89]][[65]]\n", + "[1] 0.3093859\n", + "\n", + "$MSE_list[[89]][[66]]\n", + "[1] 0.1626536\n", + "\n", + "$MSE_list[[89]][[67]]\n", + "[1] 0.1180965\n", + "\n", + "$MSE_list[[89]][[68]]\n", + "[1] 0.1620942\n", + "\n", + "$MSE_list[[89]][[69]]\n", + "[1] 0.1061251\n", + "\n", + "$MSE_list[[89]][[70]]\n", + "[1] 0.1364008\n", + "\n", + "$MSE_list[[89]][[71]]\n", + "[1] 0.07083776\n", + "\n", + "$MSE_list[[89]][[72]]\n", + "[1] 0.2792715\n", + "\n", + "$MSE_list[[89]][[73]]\n", + "[1] 0.3138049\n", + "\n", + "$MSE_list[[89]][[74]]\n", + "[1] 0.2751908\n", + "\n", + "$MSE_list[[89]][[75]]\n", + "[1] 0.1696333\n", + "\n", + "$MSE_list[[89]][[76]]\n", + "[1] 0.341972\n", + "\n", + "$MSE_list[[89]][[77]]\n", + "[1] 0.1165703\n", + "\n", + "$MSE_list[[89]][[78]]\n", + "[1] 0.2997624\n", + "\n", + "$MSE_list[[89]][[79]]\n", + "[1] 0.276723\n", + "\n", + "$MSE_list[[89]][[80]]\n", + "[1] 0.2029033\n", + "\n", + "$MSE_list[[89]][[81]]\n", + "[1] 0.2467583\n", + "\n", + "$MSE_list[[89]][[82]]\n", + "[1] 0.2513152\n", + "\n", + "$MSE_list[[89]][[83]]\n", + "[1] 0.2556169\n", + "\n", + "$MSE_list[[89]][[84]]\n", + "[1] 0.2103231\n", + "\n", + "$MSE_list[[89]][[85]]\n", + "[1] 0.4031417\n", + "\n", + "$MSE_list[[89]][[86]]\n", + "[1] 0.2318609\n", + "\n", + "$MSE_list[[89]][[87]]\n", + "[1] 0.2306094\n", + "\n", + "$MSE_list[[89]][[88]]\n", + "[1] 0.2532126\n", + "\n", + "$MSE_list[[89]][[89]]\n", + "[1] 0.08904964\n", + "\n", + "$MSE_list[[89]][[90]]\n", + "[1] 0.2722104\n", + "\n", + "$MSE_list[[89]][[91]]\n", + "[1] 0.3224101\n", + "\n", + "$MSE_list[[89]][[92]]\n", + "[1] 0.3176638\n", + "\n", + "$MSE_list[[89]][[93]]\n", + "[1] 0.2000715\n", + "\n", + "$MSE_list[[89]][[94]]\n", + "[1] 0.2559886\n", + "\n", + "$MSE_list[[89]][[95]]\n", + "[1] 0.1995963\n", + "\n", + "$MSE_list[[89]][[96]]\n", + "[1] 0.3468115\n", + "\n", + "$MSE_list[[89]][[97]]\n", + "[1] 0.3317407\n", + "\n", + "$MSE_list[[89]][[98]]\n", + "[1] 0.2677073\n", + "\n", + "$MSE_list[[89]][[99]]\n", + "[1] 0.2251294\n", + "\n", + "$MSE_list[[89]][[100]]\n", + "[1] 0.3353403\n", + "\n", + "\n", + "$MSE_list[[90]]\n", + "$MSE_list[[90]][[1]]\n", + "[1] 0.2009806\n", + "\n", + "$MSE_list[[90]][[2]]\n", + "[1] 0.2069798\n", + "\n", + "$MSE_list[[90]][[3]]\n", + "[1] 0.2037044\n", + "\n", + "$MSE_list[[90]][[4]]\n", + "[1] 0.2389359\n", + "\n", + "$MSE_list[[90]][[5]]\n", + "[1] 0.2562353\n", + "\n", + "$MSE_list[[90]][[6]]\n", + "[1] 0.2537626\n", + "\n", + "$MSE_list[[90]][[7]]\n", + "[1] 0.168369\n", + "\n", + "$MSE_list[[90]][[8]]\n", + "[1] 0.2113985\n", + "\n", + "$MSE_list[[90]][[9]]\n", + "[1] 0.1968778\n", + "\n", + "$MSE_list[[90]][[10]]\n", + "[1] 0.2559127\n", + "\n", + "$MSE_list[[90]][[11]]\n", + "[1] 0.259339\n", + "\n", + "$MSE_list[[90]][[12]]\n", + "[1] 0.2981168\n", + "\n", + "$MSE_list[[90]][[13]]\n", + "[1] 0.326037\n", + "\n", + "$MSE_list[[90]][[14]]\n", + "[1] 0.1555505\n", + "\n", + "$MSE_list[[90]][[15]]\n", + "[1] 0.2608303\n", + "\n", + "$MSE_list[[90]][[16]]\n", + "[1] 0.3692072\n", + "\n", + "$MSE_list[[90]][[17]]\n", + "[1] 0.23909\n", + "\n", + "$MSE_list[[90]][[18]]\n", + "[1] 0.4363692\n", + "\n", + "$MSE_list[[90]][[19]]\n", + "[1] 0.1408063\n", + "\n", + "$MSE_list[[90]][[20]]\n", + "[1] 0.2222109\n", + "\n", + "$MSE_list[[90]][[21]]\n", + "[1] 0.179375\n", + "\n", + "$MSE_list[[90]][[22]]\n", + "[1] 0.23783\n", + "\n", + "$MSE_list[[90]][[23]]\n", + "[1] 0.2573206\n", + "\n", + "$MSE_list[[90]][[24]]\n", + "[1] 0.1821099\n", + "\n", + "$MSE_list[[90]][[25]]\n", + "[1] 0.195623\n", + "\n", + "$MSE_list[[90]][[26]]\n", + "[1] 0.2985995\n", + "\n", + "$MSE_list[[90]][[27]]\n", + "[1] 0.1642972\n", + "\n", + "$MSE_list[[90]][[28]]\n", + "[1] 0.3039274\n", + "\n", + "$MSE_list[[90]][[29]]\n", + "[1] 0.3447984\n", + "\n", + "$MSE_list[[90]][[30]]\n", + "[1] 0.1692026\n", + "\n", + "$MSE_list[[90]][[31]]\n", + "[1] 0.1533663\n", + "\n", + "$MSE_list[[90]][[32]]\n", + "[1] 0.2079897\n", + "\n", + "$MSE_list[[90]][[33]]\n", + "[1] 0.2055067\n", + "\n", + "$MSE_list[[90]][[34]]\n", + "[1] 0.2078238\n", + "\n", + "$MSE_list[[90]][[35]]\n", + "[1] 0.3335649\n", + "\n", + "$MSE_list[[90]][[36]]\n", + "[1] 0.2783793\n", + "\n", + "$MSE_list[[90]][[37]]\n", + "[1] 0.2266402\n", + "\n", + "$MSE_list[[90]][[38]]\n", + "[1] 0.4173238\n", + "\n", + "$MSE_list[[90]][[39]]\n", + "[1] 0.2062202\n", + "\n", + "$MSE_list[[90]][[40]]\n", + "[1] 0.2373312\n", + "\n", + "$MSE_list[[90]][[41]]\n", + "[1] 0.140573\n", + "\n", + "$MSE_list[[90]][[42]]\n", + "[1] 0.3383648\n", + "\n", + "$MSE_list[[90]][[43]]\n", + "[1] 0.2517475\n", + "\n", + "$MSE_list[[90]][[44]]\n", + "[1] 0.2223145\n", + "\n", + "$MSE_list[[90]][[45]]\n", + "[1] 0.2324549\n", + "\n", + "$MSE_list[[90]][[46]]\n", + "[1] 0.1995924\n", + "\n", + "$MSE_list[[90]][[47]]\n", + "[1] 0.2512602\n", + "\n", + "$MSE_list[[90]][[48]]\n", + "[1] 0.2753471\n", + "\n", + "$MSE_list[[90]][[49]]\n", + "[1] 0.1764434\n", + "\n", + "$MSE_list[[90]][[50]]\n", + "[1] 0.2842432\n", + "\n", + "$MSE_list[[90]][[51]]\n", + "[1] 0.1992687\n", + "\n", + "$MSE_list[[90]][[52]]\n", + "[1] 0.1823966\n", + "\n", + "$MSE_list[[90]][[53]]\n", + "[1] 0.145732\n", + "\n", + "$MSE_list[[90]][[54]]\n", + "[1] 0.1958139\n", + "\n", + "$MSE_list[[90]][[55]]\n", + "[1] 0.2028522\n", + "\n", + "$MSE_list[[90]][[56]]\n", + "[1] 0.2030718\n", + "\n", + "$MSE_list[[90]][[57]]\n", + "[1] 0.2408683\n", + "\n", + "$MSE_list[[90]][[58]]\n", + "[1] 0.3680873\n", + "\n", + "$MSE_list[[90]][[59]]\n", + "[1] 0.2829795\n", + "\n", + "$MSE_list[[90]][[60]]\n", + "[1] 0.3441603\n", + "\n", + "$MSE_list[[90]][[61]]\n", + "[1] 0.2096323\n", + "\n", + "$MSE_list[[90]][[62]]\n", + "[1] 0.2688188\n", + "\n", + "$MSE_list[[90]][[63]]\n", + "[1] 0.39915\n", + "\n", + "$MSE_list[[90]][[64]]\n", + "[1] 0.1723866\n", + "\n", + "$MSE_list[[90]][[65]]\n", + "[1] 0.232484\n", + "\n", + "$MSE_list[[90]][[66]]\n", + "[1] 0.2013336\n", + "\n", + "$MSE_list[[90]][[67]]\n", + "[1] 0.1963598\n", + "\n", + "$MSE_list[[90]][[68]]\n", + "[1] 0.2235816\n", + "\n", + "$MSE_list[[90]][[69]]\n", + "[1] 0.2482675\n", + "\n", + "$MSE_list[[90]][[70]]\n", + "[1] 0.2193139\n", + "\n", + "$MSE_list[[90]][[71]]\n", + "[1] 0.2799937\n", + "\n", + "$MSE_list[[90]][[72]]\n", + "[1] 0.2831907\n", + "\n", + "$MSE_list[[90]][[73]]\n", + "[1] 0.2487554\n", + "\n", + "$MSE_list[[90]][[74]]\n", + "[1] 0.3689402\n", + "\n", + "$MSE_list[[90]][[75]]\n", + "[1] 0.3288812\n", + "\n", + "$MSE_list[[90]][[76]]\n", + "[1] 0.33023\n", + "\n", + "$MSE_list[[90]][[77]]\n", + "[1] 0.3002972\n", + "\n", + "$MSE_list[[90]][[78]]\n", + "[1] 0.2649505\n", + "\n", + "$MSE_list[[90]][[79]]\n", + "[1] 0.1764248\n", + "\n", + "$MSE_list[[90]][[80]]\n", + "[1] 0.06836861\n", + "\n", + "$MSE_list[[90]][[81]]\n", + "[1] 0.2299969\n", + "\n", + "$MSE_list[[90]][[82]]\n", + "[1] 0.1951347\n", + "\n", + "$MSE_list[[90]][[83]]\n", + "[1] 0.2013248\n", + "\n", + "$MSE_list[[90]][[84]]\n", + "[1] 0.1668477\n", + "\n", + "$MSE_list[[90]][[85]]\n", + "[1] 0.1489335\n", + "\n", + "$MSE_list[[90]][[86]]\n", + "[1] 0.2572377\n", + "\n", + "$MSE_list[[90]][[87]]\n", + "[1] 0.1989152\n", + "\n", + "$MSE_list[[90]][[88]]\n", + "[1] 0.2998437\n", + "\n", + "$MSE_list[[90]][[89]]\n", + "[1] 0.2070432\n", + "\n", + "$MSE_list[[90]][[90]]\n", + "[1] 0.09388743\n", + "\n", + "$MSE_list[[90]][[91]]\n", + "[1] 0.1849614\n", + "\n", + "$MSE_list[[90]][[92]]\n", + "[1] 0.2055005\n", + "\n", + "$MSE_list[[90]][[93]]\n", + "[1] 0.3107972\n", + "\n", + "$MSE_list[[90]][[94]]\n", + "[1] 0.2779111\n", + "\n", + "$MSE_list[[90]][[95]]\n", + "[1] 0.2925571\n", + "\n", + "$MSE_list[[90]][[96]]\n", + "[1] 0.2365215\n", + "\n", + "$MSE_list[[90]][[97]]\n", + "[1] 0.2659997\n", + "\n", + "$MSE_list[[90]][[98]]\n", + "[1] 0.1928267\n", + "\n", + "$MSE_list[[90]][[99]]\n", + "[1] 0.2914015\n", + "\n", + "$MSE_list[[90]][[100]]\n", + "[1] 0.264795\n", + "\n", + "\n", + "$MSE_list[[91]]\n", + "$MSE_list[[91]][[1]]\n", + "[1] 0.1730499\n", + "\n", + "$MSE_list[[91]][[2]]\n", + "[1] 0.2568728\n", + "\n", + "$MSE_list[[91]][[3]]\n", + "[1] 0.2158871\n", + "\n", + "$MSE_list[[91]][[4]]\n", + "[1] 0.2169711\n", + "\n", + "$MSE_list[[91]][[5]]\n", + "[1] 0.272338\n", + "\n", + "$MSE_list[[91]][[6]]\n", + "[1] 0.3576393\n", + "\n", + "$MSE_list[[91]][[7]]\n", + "[1] 0.3570582\n", + "\n", + "$MSE_list[[91]][[8]]\n", + "[1] 0.2419012\n", + "\n", + "$MSE_list[[91]][[9]]\n", + "[1] 0.1595906\n", + "\n", + "$MSE_list[[91]][[10]]\n", + "[1] 0.2275641\n", + "\n", + "$MSE_list[[91]][[11]]\n", + "[1] 0.2925832\n", + "\n", + "$MSE_list[[91]][[12]]\n", + "[1] 0.0962679\n", + "\n", + "$MSE_list[[91]][[13]]\n", + "[1] 0.3194994\n", + "\n", + "$MSE_list[[91]][[14]]\n", + "[1] 0.2484348\n", + "\n", + "$MSE_list[[91]][[15]]\n", + "[1] 0.3119402\n", + "\n", + "$MSE_list[[91]][[16]]\n", + "[1] 0.2258304\n", + "\n", + "$MSE_list[[91]][[17]]\n", + "[1] 0.1686633\n", + "\n", + "$MSE_list[[91]][[18]]\n", + "[1] 0.266764\n", + "\n", + "$MSE_list[[91]][[19]]\n", + "[1] 0.3899437\n", + "\n", + "$MSE_list[[91]][[20]]\n", + "[1] 0.2689041\n", + "\n", + "$MSE_list[[91]][[21]]\n", + "[1] 0.2954958\n", + "\n", + "$MSE_list[[91]][[22]]\n", + "[1] 0.3165484\n", + "\n", + "$MSE_list[[91]][[23]]\n", + "[1] 0.2577987\n", + "\n", + "$MSE_list[[91]][[24]]\n", + "[1] 0.3866373\n", + "\n", + "$MSE_list[[91]][[25]]\n", + "[1] 0.3457669\n", + "\n", + "$MSE_list[[91]][[26]]\n", + "[1] 0.2290391\n", + "\n", + "$MSE_list[[91]][[27]]\n", + "[1] 0.3566044\n", + "\n", + "$MSE_list[[91]][[28]]\n", + "[1] 0.3114123\n", + "\n", + "$MSE_list[[91]][[29]]\n", + "[1] 0.119446\n", + "\n", + "$MSE_list[[91]][[30]]\n", + "[1] 0.2247709\n", + "\n", + "$MSE_list[[91]][[31]]\n", + "[1] 0.3737997\n", + "\n", + "$MSE_list[[91]][[32]]\n", + "[1] 0.3891744\n", + "\n", + "$MSE_list[[91]][[33]]\n", + "[1] 0.2265393\n", + "\n", + "$MSE_list[[91]][[34]]\n", + "[1] 0.1478258\n", + "\n", + "$MSE_list[[91]][[35]]\n", + "[1] 0.3570846\n", + "\n", + "$MSE_list[[91]][[36]]\n", + "[1] 0.169225\n", + "\n", + "$MSE_list[[91]][[37]]\n", + "[1] 0.2633519\n", + "\n", + "$MSE_list[[91]][[38]]\n", + "[1] 0.06920755\n", + "\n", + "$MSE_list[[91]][[39]]\n", + "[1] 0.2158914\n", + "\n", + "$MSE_list[[91]][[40]]\n", + "[1] 0.2581455\n", + "\n", + "$MSE_list[[91]][[41]]\n", + "[1] 0.2126979\n", + "\n", + "$MSE_list[[91]][[42]]\n", + "[1] 0.3195245\n", + "\n", + "$MSE_list[[91]][[43]]\n", + "[1] 0.2203346\n", + "\n", + "$MSE_list[[91]][[44]]\n", + "[1] 0.279552\n", + "\n", + "$MSE_list[[91]][[45]]\n", + "[1] 0.07252678\n", + "\n", + "$MSE_list[[91]][[46]]\n", + "[1] 0.2402968\n", + "\n", + "$MSE_list[[91]][[47]]\n", + "[1] 0.3653766\n", + "\n", + "$MSE_list[[91]][[48]]\n", + "[1] 0.2812973\n", + "\n", + "$MSE_list[[91]][[49]]\n", + "[1] 0.3543829\n", + "\n", + "$MSE_list[[91]][[50]]\n", + "[1] 0.2693947\n", + "\n", + "$MSE_list[[91]][[51]]\n", + "[1] 0.2572813\n", + "\n", + "$MSE_list[[91]][[52]]\n", + "[1] 0.2112343\n", + "\n", + "$MSE_list[[91]][[53]]\n", + "[1] 0.09953996\n", + "\n", + "$MSE_list[[91]][[54]]\n", + "[1] 0.3324882\n", + "\n", + "$MSE_list[[91]][[55]]\n", + "[1] 0.1464394\n", + "\n", + "$MSE_list[[91]][[56]]\n", + "[1] 0.1758231\n", + "\n", + "$MSE_list[[91]][[57]]\n", + "[1] 0.1762055\n", + "\n", + "$MSE_list[[91]][[58]]\n", + "[1] 0.2373929\n", + "\n", + "$MSE_list[[91]][[59]]\n", + "[1] 0.2316136\n", + "\n", + "$MSE_list[[91]][[60]]\n", + "[1] 0.1986919\n", + "\n", + "$MSE_list[[91]][[61]]\n", + "[1] 0.2473008\n", + "\n", + "$MSE_list[[91]][[62]]\n", + "[1] 0.2966741\n", + "\n", + "$MSE_list[[91]][[63]]\n", + "[1] 0.1774256\n", + "\n", + "$MSE_list[[91]][[64]]\n", + "[1] 0.3683884\n", + "\n", + "$MSE_list[[91]][[65]]\n", + "[1] 0.2544985\n", + "\n", + "$MSE_list[[91]][[66]]\n", + "[1] 0.3413212\n", + "\n", + "$MSE_list[[91]][[67]]\n", + "[1] 0.1894867\n", + "\n", + "$MSE_list[[91]][[68]]\n", + "[1] 0.2972678\n", + "\n", + "$MSE_list[[91]][[69]]\n", + "[1] 0.2850891\n", + "\n", + "$MSE_list[[91]][[70]]\n", + "[1] 0.2039298\n", + "\n", + "$MSE_list[[91]][[71]]\n", + "[1] 0.1371936\n", + "\n", + "$MSE_list[[91]][[72]]\n", + "[1] 0.1611551\n", + "\n", + "$MSE_list[[91]][[73]]\n", + "[1] 0.269368\n", + "\n", + "$MSE_list[[91]][[74]]\n", + "[1] 0.3886645\n", + "\n", + "$MSE_list[[91]][[75]]\n", + "[1] 0.3110089\n", + "\n", + "$MSE_list[[91]][[76]]\n", + "[1] 0.06695441\n", + "\n", + "$MSE_list[[91]][[77]]\n", + "[1] 0.3147005\n", + "\n", + "$MSE_list[[91]][[78]]\n", + "[1] 0.175543\n", + "\n", + "$MSE_list[[91]][[79]]\n", + "[1] 0.2709094\n", + "\n", + "$MSE_list[[91]][[80]]\n", + "[1] 0.2165672\n", + "\n", + "$MSE_list[[91]][[81]]\n", + "[1] 0.3487304\n", + "\n", + "$MSE_list[[91]][[82]]\n", + "[1] 0.3094858\n", + "\n", + "$MSE_list[[91]][[83]]\n", + "[1] 0.2429476\n", + "\n", + "$MSE_list[[91]][[84]]\n", + "[1] 0.2379878\n", + "\n", + "$MSE_list[[91]][[85]]\n", + "[1] 0.3094284\n", + "\n", + "$MSE_list[[91]][[86]]\n", + "[1] 0.1258476\n", + "\n", + "$MSE_list[[91]][[87]]\n", + "[1] 0.193271\n", + "\n", + "$MSE_list[[91]][[88]]\n", + "[1] 0.1363886\n", + "\n", + "$MSE_list[[91]][[89]]\n", + "[1] 0.3172097\n", + "\n", + "$MSE_list[[91]][[90]]\n", + "[1] 0.1914832\n", + "\n", + "$MSE_list[[91]][[91]]\n", + "[1] 0.2996996\n", + "\n", + "$MSE_list[[91]][[92]]\n", + "[1] 0.3383753\n", + "\n", + "$MSE_list[[91]][[93]]\n", + "[1] 0.1804677\n", + "\n", + "$MSE_list[[91]][[94]]\n", + "[1] 0.3013691\n", + "\n", + "$MSE_list[[91]][[95]]\n", + "[1] 0.1578842\n", + "\n", + "$MSE_list[[91]][[96]]\n", + "[1] 0.1983645\n", + "\n", + "$MSE_list[[91]][[97]]\n", + "[1] 0.2551137\n", + "\n", + "$MSE_list[[91]][[98]]\n", + "[1] 0.2187501\n", + "\n", + "$MSE_list[[91]][[99]]\n", + "[1] 0.3178958\n", + "\n", + "$MSE_list[[91]][[100]]\n", + "[1] 0.3142164\n", + "\n", + "\n", + "$MSE_list[[92]]\n", + "$MSE_list[[92]][[1]]\n", + "[1] 0.1703497\n", + "\n", + "$MSE_list[[92]][[2]]\n", + "[1] 0.2821802\n", + "\n", + "$MSE_list[[92]][[3]]\n", + "[1] 0.5607112\n", + "\n", + "$MSE_list[[92]][[4]]\n", + "[1] 0.1589447\n", + "\n", + "$MSE_list[[92]][[5]]\n", + "[1] 0.2252667\n", + "\n", + "$MSE_list[[92]][[6]]\n", + "[1] 0.2240823\n", + "\n", + "$MSE_list[[92]][[7]]\n", + "[1] 0.3590456\n", + "\n", + "$MSE_list[[92]][[8]]\n", + "[1] 0.276854\n", + "\n", + "$MSE_list[[92]][[9]]\n", + "[1] 0.1716669\n", + "\n", + "$MSE_list[[92]][[10]]\n", + "[1] 0.4044342\n", + "\n", + "$MSE_list[[92]][[11]]\n", + "[1] 0.4584697\n", + "\n", + "$MSE_list[[92]][[12]]\n", + "[1] 0.2400136\n", + "\n", + "$MSE_list[[92]][[13]]\n", + "[1] 0.3910961\n", + "\n", + "$MSE_list[[92]][[14]]\n", + "[1] 0.3561766\n", + "\n", + "$MSE_list[[92]][[15]]\n", + "[1] 0.2677016\n", + "\n", + "$MSE_list[[92]][[16]]\n", + "[1] 0.3113696\n", + "\n", + "$MSE_list[[92]][[17]]\n", + "[1] 0.3198661\n", + "\n", + "$MSE_list[[92]][[18]]\n", + "[1] 0.2569825\n", + "\n", + "$MSE_list[[92]][[19]]\n", + "[1] 0.3173446\n", + "\n", + "$MSE_list[[92]][[20]]\n", + "[1] 0.2710614\n", + "\n", + "$MSE_list[[92]][[21]]\n", + "[1] 0.4368509\n", + "\n", + "$MSE_list[[92]][[22]]\n", + "[1] 0.4363018\n", + "\n", + "$MSE_list[[92]][[23]]\n", + "[1] 0.2564319\n", + "\n", + "$MSE_list[[92]][[24]]\n", + "[1] 0.3847292\n", + "\n", + "$MSE_list[[92]][[25]]\n", + "[1] 0.2618566\n", + "\n", + "$MSE_list[[92]][[26]]\n", + "[1] 0.1893403\n", + "\n", + "$MSE_list[[92]][[27]]\n", + "[1] 0.1995509\n", + "\n", + "$MSE_list[[92]][[28]]\n", + "[1] 0.2640341\n", + "\n", + "$MSE_list[[92]][[29]]\n", + "[1] 0.2921754\n", + "\n", + "$MSE_list[[92]][[30]]\n", + "[1] 0.1194988\n", + "\n", + "$MSE_list[[92]][[31]]\n", + "[1] 0.27931\n", + "\n", + "$MSE_list[[92]][[32]]\n", + "[1] 0.165334\n", + "\n", + "$MSE_list[[92]][[33]]\n", + "[1] 0.2185066\n", + "\n", + "$MSE_list[[92]][[34]]\n", + "[1] 0.1805516\n", + "\n", + "$MSE_list[[92]][[35]]\n", + "[1] 0.4419062\n", + "\n", + "$MSE_list[[92]][[36]]\n", + "[1] 0.3474468\n", + "\n", + "$MSE_list[[92]][[37]]\n", + "[1] 0.3514008\n", + "\n", + "$MSE_list[[92]][[38]]\n", + "[1] 0.2001954\n", + "\n", + "$MSE_list[[92]][[39]]\n", + "[1] 0.2762505\n", + "\n", + "$MSE_list[[92]][[40]]\n", + "[1] 0.3961181\n", + "\n", + "$MSE_list[[92]][[41]]\n", + "[1] 0.2810221\n", + "\n", + "$MSE_list[[92]][[42]]\n", + "[1] 0.4011435\n", + "\n", + "$MSE_list[[92]][[43]]\n", + "[1] 0.2023329\n", + "\n", + "$MSE_list[[92]][[44]]\n", + "[1] 0.4016691\n", + "\n", + "$MSE_list[[92]][[45]]\n", + "[1] 0.2669644\n", + "\n", + "$MSE_list[[92]][[46]]\n", + "[1] 0.379606\n", + "\n", + "$MSE_list[[92]][[47]]\n", + "[1] 0.3773075\n", + "\n", + "$MSE_list[[92]][[48]]\n", + "[1] 0.2689604\n", + "\n", + "$MSE_list[[92]][[49]]\n", + "[1] 0.1540131\n", + "\n", + "$MSE_list[[92]][[50]]\n", + "[1] 0.1690136\n", + "\n", + "$MSE_list[[92]][[51]]\n", + "[1] 0.1606403\n", + "\n", + "$MSE_list[[92]][[52]]\n", + "[1] 0.3280701\n", + "\n", + "$MSE_list[[92]][[53]]\n", + "[1] 0.249122\n", + "\n", + "$MSE_list[[92]][[54]]\n", + "[1] 0.2119712\n", + "\n", + "$MSE_list[[92]][[55]]\n", + "[1] 0.299146\n", + "\n", + "$MSE_list[[92]][[56]]\n", + "[1] 0.3643842\n", + "\n", + "$MSE_list[[92]][[57]]\n", + "[1] 0.2580505\n", + "\n", + "$MSE_list[[92]][[58]]\n", + "[1] 0.3151426\n", + "\n", + "$MSE_list[[92]][[59]]\n", + "[1] 0.3136305\n", + "\n", + "$MSE_list[[92]][[60]]\n", + "[1] 0.4004092\n", + "\n", + "$MSE_list[[92]][[61]]\n", + "[1] 0.3303288\n", + "\n", + "$MSE_list[[92]][[62]]\n", + "[1] 0.4276887\n", + "\n", + "$MSE_list[[92]][[63]]\n", + "[1] 0.3588027\n", + "\n", + "$MSE_list[[92]][[64]]\n", + "[1] 0.5186145\n", + "\n", + "$MSE_list[[92]][[65]]\n", + "[1] 0.174409\n", + "\n", + "$MSE_list[[92]][[66]]\n", + "[1] 0.3002758\n", + "\n", + "$MSE_list[[92]][[67]]\n", + "[1] 0.2005763\n", + "\n", + "$MSE_list[[92]][[68]]\n", + "[1] 0.3646281\n", + "\n", + "$MSE_list[[92]][[69]]\n", + "[1] 0.2709512\n", + "\n", + "$MSE_list[[92]][[70]]\n", + "[1] 0.371581\n", + "\n", + "$MSE_list[[92]][[71]]\n", + "[1] 0.3071188\n", + "\n", + "$MSE_list[[92]][[72]]\n", + "[1] 0.4745151\n", + "\n", + "$MSE_list[[92]][[73]]\n", + "[1] 0.3065542\n", + "\n", + "$MSE_list[[92]][[74]]\n", + "[1] 0.331817\n", + "\n", + "$MSE_list[[92]][[75]]\n", + "[1] 0.2223486\n", + "\n", + "$MSE_list[[92]][[76]]\n", + "[1] 0.2640255\n", + "\n", + "$MSE_list[[92]][[77]]\n", + "[1] 0.1513022\n", + "\n", + "$MSE_list[[92]][[78]]\n", + "[1] 0.2924735\n", + "\n", + "$MSE_list[[92]][[79]]\n", + "[1] 0.3193225\n", + "\n", + "$MSE_list[[92]][[80]]\n", + "[1] 0.349006\n", + "\n", + "$MSE_list[[92]][[81]]\n", + "[1] 0.4061677\n", + "\n", + "$MSE_list[[92]][[82]]\n", + "[1] 0.3137841\n", + "\n", + "$MSE_list[[92]][[83]]\n", + "[1] 0.4001284\n", + "\n", + "$MSE_list[[92]][[84]]\n", + "[1] 0.4077906\n", + "\n", + "$MSE_list[[92]][[85]]\n", + "[1] 0.4249649\n", + "\n", + "$MSE_list[[92]][[86]]\n", + "[1] 0.3996459\n", + "\n", + "$MSE_list[[92]][[87]]\n", + "[1] 0.3659733\n", + "\n", + "$MSE_list[[92]][[88]]\n", + "[1] 0.5458736\n", + "\n", + "$MSE_list[[92]][[89]]\n", + "[1] 0.3528902\n", + "\n", + "$MSE_list[[92]][[90]]\n", + "[1] 0.2873883\n", + "\n", + "$MSE_list[[92]][[91]]\n", + "[1] 0.4436507\n", + "\n", + "$MSE_list[[92]][[92]]\n", + "[1] 0.3895131\n", + "\n", + "$MSE_list[[92]][[93]]\n", + "[1] 0.259945\n", + "\n", + "$MSE_list[[92]][[94]]\n", + "[1] 0.1868842\n", + "\n", + "$MSE_list[[92]][[95]]\n", + "[1] 0.3396301\n", + "\n", + "$MSE_list[[92]][[96]]\n", + "[1] 0.2945582\n", + "\n", + "$MSE_list[[92]][[97]]\n", + "[1] 0.1495085\n", + "\n", + "$MSE_list[[92]][[98]]\n", + "[1] 0.3065681\n", + "\n", + "$MSE_list[[92]][[99]]\n", + "[1] 0.1874539\n", + "\n", + "$MSE_list[[92]][[100]]\n", + "[1] 0.3552908\n", + "\n", + "\n", + "$MSE_list[[93]]\n", + "$MSE_list[[93]][[1]]\n", + "[1] 0.3791787\n", + "\n", + "$MSE_list[[93]][[2]]\n", + "[1] 0.286475\n", + "\n", + "$MSE_list[[93]][[3]]\n", + "[1] 0.2741614\n", + "\n", + "$MSE_list[[93]][[4]]\n", + "[1] 0.332404\n", + "\n", + "$MSE_list[[93]][[5]]\n", + "[1] 0.3078831\n", + "\n", + "$MSE_list[[93]][[6]]\n", + "[1] 0.2547337\n", + "\n", + "$MSE_list[[93]][[7]]\n", + "[1] 0.3434251\n", + "\n", + "$MSE_list[[93]][[8]]\n", + "[1] 0.2877963\n", + "\n", + "$MSE_list[[93]][[9]]\n", + "[1] 0.2083584\n", + "\n", + "$MSE_list[[93]][[10]]\n", + "[1] 0.1647\n", + "\n", + "$MSE_list[[93]][[11]]\n", + "[1] 0.2786235\n", + "\n", + "$MSE_list[[93]][[12]]\n", + "[1] 0.3421864\n", + "\n", + "$MSE_list[[93]][[13]]\n", + "[1] 0.2893594\n", + "\n", + "$MSE_list[[93]][[14]]\n", + "[1] 0.2836376\n", + "\n", + "$MSE_list[[93]][[15]]\n", + "[1] 0.2920826\n", + "\n", + "$MSE_list[[93]][[16]]\n", + "[1] 0.3342058\n", + "\n", + "$MSE_list[[93]][[17]]\n", + "[1] 0.3015328\n", + "\n", + "$MSE_list[[93]][[18]]\n", + "[1] 0.1937812\n", + "\n", + "$MSE_list[[93]][[19]]\n", + "[1] 0.3852304\n", + "\n", + "$MSE_list[[93]][[20]]\n", + "[1] 0.1781938\n", + "\n", + "$MSE_list[[93]][[21]]\n", + "[1] 0.3611008\n", + "\n", + "$MSE_list[[93]][[22]]\n", + "[1] 0.2766723\n", + "\n", + "$MSE_list[[93]][[23]]\n", + "[1] 0.270361\n", + "\n", + "$MSE_list[[93]][[24]]\n", + "[1] 0.2709469\n", + "\n", + "$MSE_list[[93]][[25]]\n", + "[1] 0.2820925\n", + "\n", + "$MSE_list[[93]][[26]]\n", + "[1] 0.2519368\n", + "\n", + "$MSE_list[[93]][[27]]\n", + "[1] 0.1832352\n", + "\n", + "$MSE_list[[93]][[28]]\n", + "[1] 0.3834404\n", + "\n", + "$MSE_list[[93]][[29]]\n", + "[1] 0.319474\n", + "\n", + "$MSE_list[[93]][[30]]\n", + "[1] 0.1861438\n", + "\n", + "$MSE_list[[93]][[31]]\n", + "[1] 0.3513793\n", + "\n", + "$MSE_list[[93]][[32]]\n", + "[1] 0.1716365\n", + "\n", + "$MSE_list[[93]][[33]]\n", + "[1] 0.3053708\n", + "\n", + "$MSE_list[[93]][[34]]\n", + "[1] 0.2529553\n", + "\n", + "$MSE_list[[93]][[35]]\n", + "[1] 0.2528212\n", + "\n", + "$MSE_list[[93]][[36]]\n", + "[1] 0.268079\n", + "\n", + "$MSE_list[[93]][[37]]\n", + "[1] 0.2902591\n", + "\n", + "$MSE_list[[93]][[38]]\n", + "[1] 0.132716\n", + "\n", + "$MSE_list[[93]][[39]]\n", + "[1] 0.2483086\n", + "\n", + "$MSE_list[[93]][[40]]\n", + "[1] 0.2630779\n", + "\n", + "$MSE_list[[93]][[41]]\n", + "[1] 0.4115077\n", + "\n", + "$MSE_list[[93]][[42]]\n", + "[1] 0.3678455\n", + "\n", + "$MSE_list[[93]][[43]]\n", + "[1] 0.3110613\n", + "\n", + "$MSE_list[[93]][[44]]\n", + "[1] 0.2433259\n", + "\n", + "$MSE_list[[93]][[45]]\n", + "[1] 0.3465319\n", + "\n", + "$MSE_list[[93]][[46]]\n", + "[1] 0.2947819\n", + "\n", + "$MSE_list[[93]][[47]]\n", + "[1] 0.481703\n", + "\n", + "$MSE_list[[93]][[48]]\n", + "[1] 0.2505323\n", + "\n", + "$MSE_list[[93]][[49]]\n", + "[1] 0.2647324\n", + "\n", + "$MSE_list[[93]][[50]]\n", + "[1] 0.2038502\n", + "\n", + "$MSE_list[[93]][[51]]\n", + "[1] 0.3085318\n", + "\n", + "$MSE_list[[93]][[52]]\n", + "[1] 0.2050859\n", + "\n", + "$MSE_list[[93]][[53]]\n", + "[1] 0.2217237\n", + "\n", + "$MSE_list[[93]][[54]]\n", + "[1] 0.3035204\n", + "\n", + "$MSE_list[[93]][[55]]\n", + "[1] 0.2818848\n", + "\n", + "$MSE_list[[93]][[56]]\n", + "[1] 0.3902111\n", + "\n", + "$MSE_list[[93]][[57]]\n", + "[1] 0.3531109\n", + "\n", + "$MSE_list[[93]][[58]]\n", + "[1] 0.2629673\n", + "\n", + "$MSE_list[[93]][[59]]\n", + "[1] 0.1496841\n", + "\n", + "$MSE_list[[93]][[60]]\n", + "[1] 0.2707293\n", + "\n", + "$MSE_list[[93]][[61]]\n", + "[1] 0.3212685\n", + "\n", + "$MSE_list[[93]][[62]]\n", + "[1] 0.3139001\n", + "\n", + "$MSE_list[[93]][[63]]\n", + "[1] 0.2363842\n", + "\n", + "$MSE_list[[93]][[64]]\n", + "[1] 0.1941863\n", + "\n", + "$MSE_list[[93]][[65]]\n", + "[1] 0.2848352\n", + "\n", + "$MSE_list[[93]][[66]]\n", + "[1] 0.2600826\n", + "\n", + "$MSE_list[[93]][[67]]\n", + "[1] 0.1649795\n", + "\n", + "$MSE_list[[93]][[68]]\n", + "[1] 0.2937756\n", + "\n", + "$MSE_list[[93]][[69]]\n", + "[1] 0.1461191\n", + "\n", + "$MSE_list[[93]][[70]]\n", + "[1] 0.2513982\n", + "\n", + "$MSE_list[[93]][[71]]\n", + "[1] 0.3242466\n", + "\n", + "$MSE_list[[93]][[72]]\n", + "[1] 0.2584252\n", + "\n", + "$MSE_list[[93]][[73]]\n", + "[1] 0.2432494\n", + "\n", + "$MSE_list[[93]][[74]]\n", + "[1] 0.1994137\n", + "\n", + "$MSE_list[[93]][[75]]\n", + "[1] 0.223225\n", + "\n", + "$MSE_list[[93]][[76]]\n", + "[1] 0.3505287\n", + "\n", + "$MSE_list[[93]][[77]]\n", + "[1] 0.1029335\n", + "\n", + "$MSE_list[[93]][[78]]\n", + "[1] 0.2056904\n", + "\n", + "$MSE_list[[93]][[79]]\n", + "[1] 0.3438826\n", + "\n", + "$MSE_list[[93]][[80]]\n", + "[1] 0.320832\n", + "\n", + "$MSE_list[[93]][[81]]\n", + "[1] 0.4598345\n", + "\n", + "$MSE_list[[93]][[82]]\n", + "[1] 0.2706068\n", + "\n", + "$MSE_list[[93]][[83]]\n", + "[1] 0.226153\n", + "\n", + "$MSE_list[[93]][[84]]\n", + "[1] 0.2694732\n", + "\n", + "$MSE_list[[93]][[85]]\n", + "[1] 0.2953603\n", + "\n", + "$MSE_list[[93]][[86]]\n", + "[1] 0.2167333\n", + "\n", + "$MSE_list[[93]][[87]]\n", + "[1] 0.2826257\n", + "\n", + "$MSE_list[[93]][[88]]\n", + "[1] 0.3339429\n", + "\n", + "$MSE_list[[93]][[89]]\n", + "[1] 0.2097051\n", + "\n", + "$MSE_list[[93]][[90]]\n", + "[1] 0.2532596\n", + "\n", + "$MSE_list[[93]][[91]]\n", + "[1] 0.3930133\n", + "\n", + "$MSE_list[[93]][[92]]\n", + "[1] 0.2286875\n", + "\n", + "$MSE_list[[93]][[93]]\n", + "[1] 0.2416829\n", + "\n", + "$MSE_list[[93]][[94]]\n", + "[1] 0.1696825\n", + "\n", + "$MSE_list[[93]][[95]]\n", + "[1] 0.2448319\n", + "\n", + "$MSE_list[[93]][[96]]\n", + "[1] 0.3457261\n", + "\n", + "$MSE_list[[93]][[97]]\n", + "[1] 0.3805276\n", + "\n", + "$MSE_list[[93]][[98]]\n", + "[1] 0.3677546\n", + "\n", + "$MSE_list[[93]][[99]]\n", + "[1] 0.1737128\n", + "\n", + "$MSE_list[[93]][[100]]\n", + "[1] 0.2871885\n", + "\n", + "\n", + "$MSE_list[[94]]\n", + "$MSE_list[[94]][[1]]\n", + "[1] 0.2274052\n", + "\n", + "$MSE_list[[94]][[2]]\n", + "[1] 0.2467793\n", + "\n", + "$MSE_list[[94]][[3]]\n", + "[1] 0.2980542\n", + "\n", + "$MSE_list[[94]][[4]]\n", + "[1] 0.3499596\n", + "\n", + "$MSE_list[[94]][[5]]\n", + "[1] 0.2612307\n", + "\n", + "$MSE_list[[94]][[6]]\n", + "[1] 0.3140572\n", + "\n", + "$MSE_list[[94]][[7]]\n", + "[1] 0.1465512\n", + "\n", + "$MSE_list[[94]][[8]]\n", + "[1] 0.2965979\n", + "\n", + "$MSE_list[[94]][[9]]\n", + "[1] 0.155251\n", + "\n", + "$MSE_list[[94]][[10]]\n", + "[1] 0.452669\n", + "\n", + "$MSE_list[[94]][[11]]\n", + "[1] 0.346353\n", + "\n", + "$MSE_list[[94]][[12]]\n", + "[1] 0.3250262\n", + "\n", + "$MSE_list[[94]][[13]]\n", + "[1] 0.140331\n", + "\n", + "$MSE_list[[94]][[14]]\n", + "[1] 0.2401967\n", + "\n", + "$MSE_list[[94]][[15]]\n", + "[1] 0.2406926\n", + "\n", + "$MSE_list[[94]][[16]]\n", + "[1] 0.1728406\n", + "\n", + "$MSE_list[[94]][[17]]\n", + "[1] 0.249168\n", + "\n", + "$MSE_list[[94]][[18]]\n", + "[1] 0.3167953\n", + "\n", + "$MSE_list[[94]][[19]]\n", + "[1] 0.2588215\n", + "\n", + "$MSE_list[[94]][[20]]\n", + "[1] 0.2527199\n", + "\n", + "$MSE_list[[94]][[21]]\n", + "[1] 0.2385211\n", + "\n", + "$MSE_list[[94]][[22]]\n", + "[1] 0.3325944\n", + "\n", + "$MSE_list[[94]][[23]]\n", + "[1] 0.1697198\n", + "\n", + "$MSE_list[[94]][[24]]\n", + "[1] 0.4141156\n", + "\n", + "$MSE_list[[94]][[25]]\n", + "[1] 0.2158909\n", + "\n", + "$MSE_list[[94]][[26]]\n", + "[1] 0.3148328\n", + "\n", + "$MSE_list[[94]][[27]]\n", + "[1] 0.2854782\n", + "\n", + "$MSE_list[[94]][[28]]\n", + "[1] 0.2601409\n", + "\n", + "$MSE_list[[94]][[29]]\n", + "[1] 0.3687582\n", + "\n", + "$MSE_list[[94]][[30]]\n", + "[1] 0.1827525\n", + "\n", + "$MSE_list[[94]][[31]]\n", + "[1] 0.466867\n", + "\n", + "$MSE_list[[94]][[32]]\n", + "[1] 0.3767856\n", + "\n", + "$MSE_list[[94]][[33]]\n", + "[1] 0.1408185\n", + "\n", + "$MSE_list[[94]][[34]]\n", + "[1] 0.1868899\n", + "\n", + "$MSE_list[[94]][[35]]\n", + "[1] 0.1867696\n", + "\n", + "$MSE_list[[94]][[36]]\n", + "[1] 0.2572216\n", + "\n", + "$MSE_list[[94]][[37]]\n", + "[1] 0.2018955\n", + "\n", + "$MSE_list[[94]][[38]]\n", + "[1] 0.1033132\n", + "\n", + "$MSE_list[[94]][[39]]\n", + "[1] 0.175285\n", + "\n", + "$MSE_list[[94]][[40]]\n", + "[1] 0.4064033\n", + "\n", + "$MSE_list[[94]][[41]]\n", + "[1] 0.4141109\n", + "\n", + "$MSE_list[[94]][[42]]\n", + "[1] 0.2590418\n", + "\n", + "$MSE_list[[94]][[43]]\n", + "[1] 0.2771456\n", + "\n", + "$MSE_list[[94]][[44]]\n", + "[1] 0.2377571\n", + "\n", + "$MSE_list[[94]][[45]]\n", + "[1] 0.2868352\n", + "\n", + "$MSE_list[[94]][[46]]\n", + "[1] 0.2782123\n", + "\n", + "$MSE_list[[94]][[47]]\n", + "[1] 0.4146516\n", + "\n", + "$MSE_list[[94]][[48]]\n", + "[1] 0.2385147\n", + "\n", + "$MSE_list[[94]][[49]]\n", + "[1] 0.2524663\n", + "\n", + "$MSE_list[[94]][[50]]\n", + "[1] 0.2900118\n", + "\n", + "$MSE_list[[94]][[51]]\n", + "[1] 0.3119886\n", + "\n", + "$MSE_list[[94]][[52]]\n", + "[1] 0.2338392\n", + "\n", + "$MSE_list[[94]][[53]]\n", + "[1] 0.3948959\n", + "\n", + "$MSE_list[[94]][[54]]\n", + "[1] 0.2525662\n", + "\n", + "$MSE_list[[94]][[55]]\n", + "[1] 0.2156074\n", + "\n", + "$MSE_list[[94]][[56]]\n", + "[1] 0.2633365\n", + "\n", + "$MSE_list[[94]][[57]]\n", + "[1] 0.1804635\n", + "\n", + "$MSE_list[[94]][[58]]\n", + "[1] 0.3359072\n", + "\n", + "$MSE_list[[94]][[59]]\n", + "[1] 0.3008269\n", + "\n", + "$MSE_list[[94]][[60]]\n", + "[1] 0.3704807\n", + "\n", + "$MSE_list[[94]][[61]]\n", + "[1] 0.1787865\n", + "\n", + "$MSE_list[[94]][[62]]\n", + "[1] 0.2575648\n", + "\n", + "$MSE_list[[94]][[63]]\n", + "[1] 0.2969637\n", + "\n", + "$MSE_list[[94]][[64]]\n", + "[1] 0.15314\n", + "\n", + "$MSE_list[[94]][[65]]\n", + "[1] 0.2453831\n", + "\n", + "$MSE_list[[94]][[66]]\n", + "[1] 0.2985669\n", + "\n", + "$MSE_list[[94]][[67]]\n", + "[1] 0.2598955\n", + "\n", + "$MSE_list[[94]][[68]]\n", + "[1] 0.3309507\n", + "\n", + "$MSE_list[[94]][[69]]\n", + "[1] 0.2402387\n", + "\n", + "$MSE_list[[94]][[70]]\n", + "[1] 0.3676545\n", + "\n", + "$MSE_list[[94]][[71]]\n", + "[1] 0.1856623\n", + "\n", + "$MSE_list[[94]][[72]]\n", + "[1] 0.2392371\n", + "\n", + "$MSE_list[[94]][[73]]\n", + "[1] 0.3094269\n", + "\n", + "$MSE_list[[94]][[74]]\n", + "[1] 0.3005993\n", + "\n", + "$MSE_list[[94]][[75]]\n", + "[1] 0.2980862\n", + "\n", + "$MSE_list[[94]][[76]]\n", + "[1] 0.2785909\n", + "\n", + "$MSE_list[[94]][[77]]\n", + "[1] 0.2714387\n", + "\n", + "$MSE_list[[94]][[78]]\n", + "[1] 0.4329357\n", + "\n", + "$MSE_list[[94]][[79]]\n", + "[1] 0.1888024\n", + "\n", + "$MSE_list[[94]][[80]]\n", + "[1] 0.385236\n", + "\n", + "$MSE_list[[94]][[81]]\n", + "[1] 0.3155745\n", + "\n", + "$MSE_list[[94]][[82]]\n", + "[1] 0.2259\n", + "\n", + "$MSE_list[[94]][[83]]\n", + "[1] 0.1944088\n", + "\n", + "$MSE_list[[94]][[84]]\n", + "[1] 0.2895507\n", + "\n", + "$MSE_list[[94]][[85]]\n", + "[1] 0.3146347\n", + "\n", + "$MSE_list[[94]][[86]]\n", + "[1] 0.3445379\n", + "\n", + "$MSE_list[[94]][[87]]\n", + "[1] 0.381206\n", + "\n", + "$MSE_list[[94]][[88]]\n", + "[1] 0.2417097\n", + "\n", + "$MSE_list[[94]][[89]]\n", + "[1] 0.214716\n", + "\n", + "$MSE_list[[94]][[90]]\n", + "[1] 0.2337547\n", + "\n", + "$MSE_list[[94]][[91]]\n", + "[1] 0.2669087\n", + "\n", + "$MSE_list[[94]][[92]]\n", + "[1] 0.181271\n", + "\n", + "$MSE_list[[94]][[93]]\n", + "[1] 0.204833\n", + "\n", + "$MSE_list[[94]][[94]]\n", + "[1] 0.3192933\n", + "\n", + "$MSE_list[[94]][[95]]\n", + "[1] 0.1206147\n", + "\n", + "$MSE_list[[94]][[96]]\n", + "[1] 0.2619013\n", + "\n", + "$MSE_list[[94]][[97]]\n", + "[1] 0.1406702\n", + "\n", + "$MSE_list[[94]][[98]]\n", + "[1] 0.2634817\n", + "\n", + "$MSE_list[[94]][[99]]\n", + "[1] 0.2861463\n", + "\n", + "$MSE_list[[94]][[100]]\n", + "[1] 0.2040875\n", + "\n", + "\n", + "$MSE_list[[95]]\n", + "$MSE_list[[95]][[1]]\n", + "[1] 0.3225596\n", + "\n", + "$MSE_list[[95]][[2]]\n", + "[1] 0.403083\n", + "\n", + "$MSE_list[[95]][[3]]\n", + "[1] 0.2054727\n", + "\n", + "$MSE_list[[95]][[4]]\n", + "[1] 0.4318383\n", + "\n", + "$MSE_list[[95]][[5]]\n", + "[1] 0.1889226\n", + "\n", + "$MSE_list[[95]][[6]]\n", + "[1] 0.352925\n", + "\n", + "$MSE_list[[95]][[7]]\n", + "[1] 0.2708703\n", + "\n", + "$MSE_list[[95]][[8]]\n", + "[1] 0.3169541\n", + "\n", + "$MSE_list[[95]][[9]]\n", + "[1] 0.1791936\n", + "\n", + "$MSE_list[[95]][[10]]\n", + "[1] 0.2867429\n", + "\n", + "$MSE_list[[95]][[11]]\n", + "[1] 0.3531775\n", + "\n", + "$MSE_list[[95]][[12]]\n", + "[1] 0.2734158\n", + "\n", + "$MSE_list[[95]][[13]]\n", + "[1] 0.4035034\n", + "\n", + "$MSE_list[[95]][[14]]\n", + "[1] 0.5234281\n", + "\n", + "$MSE_list[[95]][[15]]\n", + "[1] 0.2609453\n", + "\n", + "$MSE_list[[95]][[16]]\n", + "[1] 0.1728787\n", + "\n", + "$MSE_list[[95]][[17]]\n", + "[1] 0.3756438\n", + "\n", + "$MSE_list[[95]][[18]]\n", + "[1] 0.3061164\n", + "\n", + "$MSE_list[[95]][[19]]\n", + "[1] 0.3958751\n", + "\n", + "$MSE_list[[95]][[20]]\n", + "[1] 0.2995785\n", + "\n", + "$MSE_list[[95]][[21]]\n", + "[1] 0.3473366\n", + "\n", + "$MSE_list[[95]][[22]]\n", + "[1] 0.126094\n", + "\n", + "$MSE_list[[95]][[23]]\n", + "[1] 0.304002\n", + "\n", + "$MSE_list[[95]][[24]]\n", + "[1] 0.3940757\n", + "\n", + "$MSE_list[[95]][[25]]\n", + "[1] 0.3883836\n", + "\n", + "$MSE_list[[95]][[26]]\n", + "[1] 0.320018\n", + "\n", + "$MSE_list[[95]][[27]]\n", + "[1] 0.2855705\n", + "\n", + "$MSE_list[[95]][[28]]\n", + "[1] 0.4442272\n", + "\n", + "$MSE_list[[95]][[29]]\n", + "[1] 0.3129509\n", + "\n", + "$MSE_list[[95]][[30]]\n", + "[1] 0.3143937\n", + "\n", + "$MSE_list[[95]][[31]]\n", + "[1] 0.2630622\n", + "\n", + "$MSE_list[[95]][[32]]\n", + "[1] 0.3223194\n", + "\n", + "$MSE_list[[95]][[33]]\n", + "[1] 0.3339489\n", + "\n", + "$MSE_list[[95]][[34]]\n", + "[1] 0.3925824\n", + "\n", + "$MSE_list[[95]][[35]]\n", + "[1] 0.3457345\n", + "\n", + "$MSE_list[[95]][[36]]\n", + "[1] 0.2985623\n", + "\n", + "$MSE_list[[95]][[37]]\n", + "[1] 0.2859038\n", + "\n", + "$MSE_list[[95]][[38]]\n", + "[1] 0.2688006\n", + "\n", + "$MSE_list[[95]][[39]]\n", + "[1] 0.2291862\n", + "\n", + "$MSE_list[[95]][[40]]\n", + "[1] 0.361955\n", + "\n", + "$MSE_list[[95]][[41]]\n", + "[1] 0.4472075\n", + "\n", + "$MSE_list[[95]][[42]]\n", + "[1] 0.3258434\n", + "\n", + "$MSE_list[[95]][[43]]\n", + "[1] 0.2675377\n", + "\n", + "$MSE_list[[95]][[44]]\n", + "[1] 0.4858223\n", + "\n", + "$MSE_list[[95]][[45]]\n", + "[1] 0.4849367\n", + "\n", + "$MSE_list[[95]][[46]]\n", + "[1] 0.3681617\n", + "\n", + "$MSE_list[[95]][[47]]\n", + "[1] 0.329434\n", + "\n", + "$MSE_list[[95]][[48]]\n", + "[1] 0.3682188\n", + "\n", + "$MSE_list[[95]][[49]]\n", + "[1] 0.3804916\n", + "\n", + "$MSE_list[[95]][[50]]\n", + "[1] 0.2952815\n", + "\n", + "$MSE_list[[95]][[51]]\n", + "[1] 0.3628293\n", + "\n", + "$MSE_list[[95]][[52]]\n", + "[1] 0.3108052\n", + "\n", + "$MSE_list[[95]][[53]]\n", + "[1] 0.3014881\n", + "\n", + "$MSE_list[[95]][[54]]\n", + "[1] 0.2876735\n", + "\n", + "$MSE_list[[95]][[55]]\n", + "[1] 0.3997346\n", + "\n", + "$MSE_list[[95]][[56]]\n", + "[1] 0.3038229\n", + "\n", + "$MSE_list[[95]][[57]]\n", + "[1] 0.2398252\n", + "\n", + "$MSE_list[[95]][[58]]\n", + "[1] 0.3944955\n", + "\n", + "$MSE_list[[95]][[59]]\n", + "[1] 0.4264428\n", + "\n", + "$MSE_list[[95]][[60]]\n", + "[1] 0.2892507\n", + "\n", + "$MSE_list[[95]][[61]]\n", + "[1] 0.2753442\n", + "\n", + "$MSE_list[[95]][[62]]\n", + "[1] 0.301452\n", + "\n", + "$MSE_list[[95]][[63]]\n", + "[1] 0.4350937\n", + "\n", + "$MSE_list[[95]][[64]]\n", + "[1] 0.3152229\n", + "\n", + "$MSE_list[[95]][[65]]\n", + "[1] 0.1764969\n", + "\n", + "$MSE_list[[95]][[66]]\n", + "[1] 0.4184397\n", + "\n", + "$MSE_list[[95]][[67]]\n", + "[1] 0.5040943\n", + "\n", + "$MSE_list[[95]][[68]]\n", + "[1] 0.3709271\n", + "\n", + "$MSE_list[[95]][[69]]\n", + "[1] 0.3791248\n", + "\n", + "$MSE_list[[95]][[70]]\n", + "[1] 0.3544859\n", + "\n", + "$MSE_list[[95]][[71]]\n", + "[1] 0.2985138\n", + "\n", + "$MSE_list[[95]][[72]]\n", + "[1] 0.2960636\n", + "\n", + "$MSE_list[[95]][[73]]\n", + "[1] 0.3953615\n", + "\n", + "$MSE_list[[95]][[74]]\n", + "[1] 0.448159\n", + "\n", + "$MSE_list[[95]][[75]]\n", + "[1] 0.2372608\n", + "\n", + "$MSE_list[[95]][[76]]\n", + "[1] 0.221743\n", + "\n", + "$MSE_list[[95]][[77]]\n", + "[1] 0.4662869\n", + "\n", + "$MSE_list[[95]][[78]]\n", + "[1] 0.4389022\n", + "\n", + "$MSE_list[[95]][[79]]\n", + "[1] 0.2827148\n", + "\n", + "$MSE_list[[95]][[80]]\n", + "[1] 0.3163103\n", + "\n", + "$MSE_list[[95]][[81]]\n", + "[1] 0.4268925\n", + "\n", + "$MSE_list[[95]][[82]]\n", + "[1] 0.2508772\n", + "\n", + "$MSE_list[[95]][[83]]\n", + "[1] 0.3866678\n", + "\n", + "$MSE_list[[95]][[84]]\n", + "[1] 0.1757147\n", + "\n", + "$MSE_list[[95]][[85]]\n", + "[1] 0.3700171\n", + "\n", + "$MSE_list[[95]][[86]]\n", + "[1] 0.3368498\n", + "\n", + "$MSE_list[[95]][[87]]\n", + "[1] 0.352399\n", + "\n", + "$MSE_list[[95]][[88]]\n", + "[1] 0.2894878\n", + "\n", + "$MSE_list[[95]][[89]]\n", + "[1] 0.3736206\n", + "\n", + "$MSE_list[[95]][[90]]\n", + "[1] 0.2487728\n", + "\n", + "$MSE_list[[95]][[91]]\n", + "[1] 0.314446\n", + "\n", + "$MSE_list[[95]][[92]]\n", + "[1] 0.312591\n", + "\n", + "$MSE_list[[95]][[93]]\n", + "[1] 0.3700275\n", + "\n", + "$MSE_list[[95]][[94]]\n", + "[1] 0.3536575\n", + "\n", + "$MSE_list[[95]][[95]]\n", + "[1] 0.4575141\n", + "\n", + "$MSE_list[[95]][[96]]\n", + "[1] 0.2602895\n", + "\n", + "$MSE_list[[95]][[97]]\n", + "[1] 0.2464404\n", + "\n", + "$MSE_list[[95]][[98]]\n", + "[1] 0.2098833\n", + "\n", + "$MSE_list[[95]][[99]]\n", + "[1] 0.3707073\n", + "\n", + "$MSE_list[[95]][[100]]\n", + "[1] 0.3036162\n", + "\n", + "\n", + "$MSE_list[[96]]\n", + "$MSE_list[[96]][[1]]\n", + "[1] 0.2832651\n", + "\n", + "$MSE_list[[96]][[2]]\n", + "[1] 0.2784284\n", + "\n", + "$MSE_list[[96]][[3]]\n", + "[1] 0.1683157\n", + "\n", + "$MSE_list[[96]][[4]]\n", + "[1] 0.2914175\n", + "\n", + "$MSE_list[[96]][[5]]\n", + "[1] 0.3148197\n", + "\n", + "$MSE_list[[96]][[6]]\n", + "[1] 0.2478597\n", + "\n", + "$MSE_list[[96]][[7]]\n", + "[1] 0.2072176\n", + "\n", + "$MSE_list[[96]][[8]]\n", + "[1] 0.3238004\n", + "\n", + "$MSE_list[[96]][[9]]\n", + "[1] 0.2172209\n", + "\n", + "$MSE_list[[96]][[10]]\n", + "[1] 0.4109483\n", + "\n", + "$MSE_list[[96]][[11]]\n", + "[1] 0.3424353\n", + "\n", + "$MSE_list[[96]][[12]]\n", + "[1] 0.2685021\n", + "\n", + "$MSE_list[[96]][[13]]\n", + "[1] 0.1355795\n", + "\n", + "$MSE_list[[96]][[14]]\n", + "[1] 0.1103183\n", + "\n", + "$MSE_list[[96]][[15]]\n", + "[1] 0.2846898\n", + "\n", + "$MSE_list[[96]][[16]]\n", + "[1] 0.1791434\n", + "\n", + "$MSE_list[[96]][[17]]\n", + "[1] 0.2109532\n", + "\n", + "$MSE_list[[96]][[18]]\n", + "[1] 0.2719324\n", + "\n", + "$MSE_list[[96]][[19]]\n", + "[1] 0.2335355\n", + "\n", + "$MSE_list[[96]][[20]]\n", + "[1] 0.2061882\n", + "\n", + "$MSE_list[[96]][[21]]\n", + "[1] 0.1861988\n", + "\n", + "$MSE_list[[96]][[22]]\n", + "[1] 0.2467999\n", + "\n", + "$MSE_list[[96]][[23]]\n", + "[1] 0.299703\n", + "\n", + "$MSE_list[[96]][[24]]\n", + "[1] 0.249942\n", + "\n", + "$MSE_list[[96]][[25]]\n", + "[1] 0.2733857\n", + "\n", + "$MSE_list[[96]][[26]]\n", + "[1] 0.3448781\n", + "\n", + "$MSE_list[[96]][[27]]\n", + "[1] 0.1396559\n", + "\n", + "$MSE_list[[96]][[28]]\n", + "[1] 0.2130923\n", + "\n", + "$MSE_list[[96]][[29]]\n", + "[1] 0.2136553\n", + "\n", + "$MSE_list[[96]][[30]]\n", + "[1] 0.1936719\n", + "\n", + "$MSE_list[[96]][[31]]\n", + "[1] 0.1857876\n", + "\n", + "$MSE_list[[96]][[32]]\n", + "[1] 0.2216991\n", + "\n", + "$MSE_list[[96]][[33]]\n", + "[1] 0.1422897\n", + "\n", + "$MSE_list[[96]][[34]]\n", + "[1] 0.3653193\n", + "\n", + "$MSE_list[[96]][[35]]\n", + "[1] 0.2365361\n", + "\n", + "$MSE_list[[96]][[36]]\n", + "[1] 0.3002918\n", + "\n", + "$MSE_list[[96]][[37]]\n", + "[1] 0.1361407\n", + "\n", + "$MSE_list[[96]][[38]]\n", + "[1] 0.3196382\n", + "\n", + "$MSE_list[[96]][[39]]\n", + "[1] 0.4065225\n", + "\n", + "$MSE_list[[96]][[40]]\n", + "[1] 0.3426877\n", + "\n", + "$MSE_list[[96]][[41]]\n", + "[1] 0.2353339\n", + "\n", + "$MSE_list[[96]][[42]]\n", + "[1] 0.1877589\n", + "\n", + "$MSE_list[[96]][[43]]\n", + "[1] 0.2202569\n", + "\n", + "$MSE_list[[96]][[44]]\n", + "[1] 0.2991772\n", + "\n", + "$MSE_list[[96]][[45]]\n", + "[1] 0.195221\n", + "\n", + "$MSE_list[[96]][[46]]\n", + "[1] 0.1856577\n", + "\n", + "$MSE_list[[96]][[47]]\n", + "[1] 0.183528\n", + "\n", + "$MSE_list[[96]][[48]]\n", + "[1] 0.3185448\n", + "\n", + "$MSE_list[[96]][[49]]\n", + "[1] 0.3146135\n", + "\n", + "$MSE_list[[96]][[50]]\n", + "[1] 0.2168951\n", + "\n", + "$MSE_list[[96]][[51]]\n", + "[1] 0.2592949\n", + "\n", + "$MSE_list[[96]][[52]]\n", + "[1] 0.2513862\n", + "\n", + "$MSE_list[[96]][[53]]\n", + "[1] 0.2994597\n", + "\n", + "$MSE_list[[96]][[54]]\n", + "[1] 0.2313578\n", + "\n", + "$MSE_list[[96]][[55]]\n", + "[1] 0.3480624\n", + "\n", + "$MSE_list[[96]][[56]]\n", + "[1] 0.2025444\n", + "\n", + "$MSE_list[[96]][[57]]\n", + "[1] 0.1496179\n", + "\n", + "$MSE_list[[96]][[58]]\n", + "[1] 0.3178668\n", + "\n", + "$MSE_list[[96]][[59]]\n", + "[1] 0.2453263\n", + "\n", + "$MSE_list[[96]][[60]]\n", + "[1] 0.2538971\n", + "\n", + "$MSE_list[[96]][[61]]\n", + "[1] 0.2262413\n", + "\n", + "$MSE_list[[96]][[62]]\n", + "[1] 0.1617732\n", + "\n", + "$MSE_list[[96]][[63]]\n", + "[1] 0.2848905\n", + "\n", + "$MSE_list[[96]][[64]]\n", + "[1] 0.1758586\n", + "\n", + "$MSE_list[[96]][[65]]\n", + "[1] 0.2671995\n", + "\n", + "$MSE_list[[96]][[66]]\n", + "[1] 0.2493097\n", + "\n", + "$MSE_list[[96]][[67]]\n", + "[1] 0.2222588\n", + "\n", + "$MSE_list[[96]][[68]]\n", + "[1] 0.1843213\n", + "\n", + "$MSE_list[[96]][[69]]\n", + "[1] 0.3127543\n", + "\n", + "$MSE_list[[96]][[70]]\n", + "[1] 0.2959027\n", + "\n", + "$MSE_list[[96]][[71]]\n", + "[1] 0.2355865\n", + "\n", + "$MSE_list[[96]][[72]]\n", + "[1] 0.1857191\n", + "\n", + "$MSE_list[[96]][[73]]\n", + "[1] 0.2902179\n", + "\n", + "$MSE_list[[96]][[74]]\n", + "[1] 0.2537061\n", + "\n", + "$MSE_list[[96]][[75]]\n", + "[1] 0.2266157\n", + "\n", + "$MSE_list[[96]][[76]]\n", + "[1] 0.2418973\n", + "\n", + "$MSE_list[[96]][[77]]\n", + "[1] 0.1562266\n", + "\n", + "$MSE_list[[96]][[78]]\n", + "[1] 0.2691152\n", + "\n", + "$MSE_list[[96]][[79]]\n", + "[1] 0.3019007\n", + "\n", + "$MSE_list[[96]][[80]]\n", + "[1] 0.291869\n", + "\n", + "$MSE_list[[96]][[81]]\n", + "[1] 0.1819727\n", + "\n", + "$MSE_list[[96]][[82]]\n", + "[1] 0.2080018\n", + "\n", + "$MSE_list[[96]][[83]]\n", + "[1] 0.2302268\n", + "\n", + "$MSE_list[[96]][[84]]\n", + "[1] 0.1820235\n", + "\n", + "$MSE_list[[96]][[85]]\n", + "[1] 0.2271081\n", + "\n", + "$MSE_list[[96]][[86]]\n", + "[1] 0.2368794\n", + "\n", + "$MSE_list[[96]][[87]]\n", + "[1] 0.2045296\n", + "\n", + "$MSE_list[[96]][[88]]\n", + "[1] 0.2157149\n", + "\n", + "$MSE_list[[96]][[89]]\n", + "[1] 0.2311884\n", + "\n", + "$MSE_list[[96]][[90]]\n", + "[1] 0.2054562\n", + "\n", + "$MSE_list[[96]][[91]]\n", + "[1] 0.2469336\n", + "\n", + "$MSE_list[[96]][[92]]\n", + "[1] 0.3106643\n", + "\n", + "$MSE_list[[96]][[93]]\n", + "[1] 0.2315417\n", + "\n", + "$MSE_list[[96]][[94]]\n", + "[1] 0.1613599\n", + "\n", + "$MSE_list[[96]][[95]]\n", + "[1] 0.1949765\n", + "\n", + "$MSE_list[[96]][[96]]\n", + "[1] 0.3116429\n", + "\n", + "$MSE_list[[96]][[97]]\n", + "[1] 0.3159228\n", + "\n", + "$MSE_list[[96]][[98]]\n", + "[1] 0.1524937\n", + "\n", + "$MSE_list[[96]][[99]]\n", + "[1] 0.2871377\n", + "\n", + "$MSE_list[[96]][[100]]\n", + "[1] 0.1656796\n", + "\n", + "\n", + "$MSE_list[[97]]\n", + "$MSE_list[[97]][[1]]\n", + "[1] 0.2771912\n", + "\n", + "$MSE_list[[97]][[2]]\n", + "[1] 0.3749592\n", + "\n", + "$MSE_list[[97]][[3]]\n", + "[1] 0.1401317\n", + "\n", + "$MSE_list[[97]][[4]]\n", + "[1] 0.08262375\n", + "\n", + "$MSE_list[[97]][[5]]\n", + "[1] 0.2018282\n", + "\n", + "$MSE_list[[97]][[6]]\n", + "[1] 0.2756706\n", + "\n", + "$MSE_list[[97]][[7]]\n", + "[1] 0.149253\n", + "\n", + "$MSE_list[[97]][[8]]\n", + "[1] 0.2145098\n", + "\n", + "$MSE_list[[97]][[9]]\n", + "[1] 0.2433874\n", + "\n", + "$MSE_list[[97]][[10]]\n", + "[1] 0.2032847\n", + "\n", + "$MSE_list[[97]][[11]]\n", + "[1] 0.3228748\n", + "\n", + "$MSE_list[[97]][[12]]\n", + "[1] 0.2974192\n", + "\n", + "$MSE_list[[97]][[13]]\n", + "[1] 0.2596594\n", + "\n", + "$MSE_list[[97]][[14]]\n", + "[1] 0.225085\n", + "\n", + "$MSE_list[[97]][[15]]\n", + "[1] 0.2661318\n", + "\n", + "$MSE_list[[97]][[16]]\n", + "[1] 0.1833229\n", + "\n", + "$MSE_list[[97]][[17]]\n", + "[1] 0.3622918\n", + "\n", + "$MSE_list[[97]][[18]]\n", + "[1] 0.2721586\n", + "\n", + "$MSE_list[[97]][[19]]\n", + "[1] 0.2121687\n", + "\n", + "$MSE_list[[97]][[20]]\n", + "[1] 0.2467104\n", + "\n", + "$MSE_list[[97]][[21]]\n", + "[1] 0.2750995\n", + "\n", + "$MSE_list[[97]][[22]]\n", + "[1] 0.2287181\n", + "\n", + "$MSE_list[[97]][[23]]\n", + "[1] 0.4200608\n", + "\n", + "$MSE_list[[97]][[24]]\n", + "[1] 0.199011\n", + "\n", + "$MSE_list[[97]][[25]]\n", + "[1] 0.1956634\n", + "\n", + "$MSE_list[[97]][[26]]\n", + "[1] 0.2088961\n", + "\n", + "$MSE_list[[97]][[27]]\n", + "[1] 0.3041014\n", + "\n", + "$MSE_list[[97]][[28]]\n", + "[1] 0.3543299\n", + "\n", + "$MSE_list[[97]][[29]]\n", + "[1] 0.4053779\n", + "\n", + "$MSE_list[[97]][[30]]\n", + "[1] 0.1577759\n", + "\n", + "$MSE_list[[97]][[31]]\n", + "[1] 0.2209716\n", + "\n", + "$MSE_list[[97]][[32]]\n", + "[1] 0.2811643\n", + "\n", + "$MSE_list[[97]][[33]]\n", + "[1] 0.1745798\n", + "\n", + "$MSE_list[[97]][[34]]\n", + "[1] 0.2908296\n", + "\n", + "$MSE_list[[97]][[35]]\n", + "[1] 0.1894008\n", + "\n", + "$MSE_list[[97]][[36]]\n", + "[1] 0.262471\n", + "\n", + "$MSE_list[[97]][[37]]\n", + "[1] 0.3438349\n", + "\n", + "$MSE_list[[97]][[38]]\n", + "[1] 0.1804736\n", + "\n", + "$MSE_list[[97]][[39]]\n", + "[1] 0.2461028\n", + "\n", + "$MSE_list[[97]][[40]]\n", + "[1] 0.3718691\n", + "\n", + "$MSE_list[[97]][[41]]\n", + "[1] 0.2931159\n", + "\n", + "$MSE_list[[97]][[42]]\n", + "[1] 0.2790855\n", + "\n", + "$MSE_list[[97]][[43]]\n", + "[1] 0.2454858\n", + "\n", + "$MSE_list[[97]][[44]]\n", + "[1] 0.1996131\n", + "\n", + "$MSE_list[[97]][[45]]\n", + "[1] 0.3519782\n", + "\n", + "$MSE_list[[97]][[46]]\n", + "[1] 0.1861512\n", + "\n", + "$MSE_list[[97]][[47]]\n", + "[1] 0.1964988\n", + "\n", + "$MSE_list[[97]][[48]]\n", + "[1] 0.2543853\n", + "\n", + "$MSE_list[[97]][[49]]\n", + "[1] 0.2525439\n", + "\n", + "$MSE_list[[97]][[50]]\n", + "[1] 0.2555162\n", + "\n", + "$MSE_list[[97]][[51]]\n", + "[1] 0.3198111\n", + "\n", + "$MSE_list[[97]][[52]]\n", + "[1] 0.3616926\n", + "\n", + "$MSE_list[[97]][[53]]\n", + "[1] 0.315767\n", + "\n", + "$MSE_list[[97]][[54]]\n", + "[1] 0.2537932\n", + "\n", + "$MSE_list[[97]][[55]]\n", + "[1] 0.2220561\n", + "\n", + "$MSE_list[[97]][[56]]\n", + "[1] 0.2263785\n", + "\n", + "$MSE_list[[97]][[57]]\n", + "[1] 0.07984354\n", + "\n", + "$MSE_list[[97]][[58]]\n", + "[1] 0.2323647\n", + "\n", + "$MSE_list[[97]][[59]]\n", + "[1] 0.2485126\n", + "\n", + "$MSE_list[[97]][[60]]\n", + "[1] 0.2171361\n", + "\n", + "$MSE_list[[97]][[61]]\n", + "[1] 0.1022365\n", + "\n", + "$MSE_list[[97]][[62]]\n", + "[1] 0.186191\n", + "\n", + "$MSE_list[[97]][[63]]\n", + "[1] 0.0836155\n", + "\n", + "$MSE_list[[97]][[64]]\n", + "[1] 0.1773447\n", + "\n", + "$MSE_list[[97]][[65]]\n", + "[1] 0.2083137\n", + "\n", + "$MSE_list[[97]][[66]]\n", + "[1] 0.2641565\n", + "\n", + "$MSE_list[[97]][[67]]\n", + "[1] 0.3079673\n", + "\n", + "$MSE_list[[97]][[68]]\n", + "[1] 0.1565599\n", + "\n", + "$MSE_list[[97]][[69]]\n", + "[1] 0.3720475\n", + "\n", + "$MSE_list[[97]][[70]]\n", + "[1] 0.3076814\n", + "\n", + "$MSE_list[[97]][[71]]\n", + "[1] 0.2428761\n", + "\n", + "$MSE_list[[97]][[72]]\n", + "[1] 0.2056268\n", + "\n", + "$MSE_list[[97]][[73]]\n", + "[1] 0.2815927\n", + "\n", + "$MSE_list[[97]][[74]]\n", + "[1] 0.3095198\n", + "\n", + "$MSE_list[[97]][[75]]\n", + "[1] 0.201601\n", + "\n", + "$MSE_list[[97]][[76]]\n", + "[1] 0.3720109\n", + "\n", + "$MSE_list[[97]][[77]]\n", + "[1] 0.3092395\n", + "\n", + "$MSE_list[[97]][[78]]\n", + "[1] 0.2790974\n", + "\n", + "$MSE_list[[97]][[79]]\n", + "[1] 0.203868\n", + "\n", + "$MSE_list[[97]][[80]]\n", + "[1] 0.2664621\n", + "\n", + "$MSE_list[[97]][[81]]\n", + "[1] 0.2276235\n", + "\n", + "$MSE_list[[97]][[82]]\n", + "[1] 0.3147988\n", + "\n", + "$MSE_list[[97]][[83]]\n", + "[1] 0.14893\n", + "\n", + "$MSE_list[[97]][[84]]\n", + "[1] 0.1340532\n", + "\n", + "$MSE_list[[97]][[85]]\n", + "[1] 0.2960885\n", + "\n", + "$MSE_list[[97]][[86]]\n", + "[1] 0.2305024\n", + "\n", + "$MSE_list[[97]][[87]]\n", + "[1] 0.201952\n", + "\n", + "$MSE_list[[97]][[88]]\n", + "[1] 0.2394726\n", + "\n", + "$MSE_list[[97]][[89]]\n", + "[1] 0.1091553\n", + "\n", + "$MSE_list[[97]][[90]]\n", + "[1] 0.1564949\n", + "\n", + "$MSE_list[[97]][[91]]\n", + "[1] 0.3145668\n", + "\n", + "$MSE_list[[97]][[92]]\n", + "[1] 0.235974\n", + "\n", + "$MSE_list[[97]][[93]]\n", + "[1] 0.3385023\n", + "\n", + "$MSE_list[[97]][[94]]\n", + "[1] 0.2023184\n", + "\n", + "$MSE_list[[97]][[95]]\n", + "[1] 0.1613473\n", + "\n", + "$MSE_list[[97]][[96]]\n", + "[1] 0.3361226\n", + "\n", + "$MSE_list[[97]][[97]]\n", + "[1] 0.2200116\n", + "\n", + "$MSE_list[[97]][[98]]\n", + "[1] 0.4227672\n", + "\n", + "$MSE_list[[97]][[99]]\n", + "[1] 0.1543294\n", + "\n", + "$MSE_list[[97]][[100]]\n", + "[1] 0.2054394\n", + "\n", + "\n", + "$MSE_list[[98]]\n", + "$MSE_list[[98]][[1]]\n", + "[1] 0.2512169\n", + "\n", + "$MSE_list[[98]][[2]]\n", + "[1] 0.431106\n", + "\n", + "$MSE_list[[98]][[3]]\n", + "[1] 0.305172\n", + "\n", + "$MSE_list[[98]][[4]]\n", + "[1] 0.1682148\n", + "\n", + "$MSE_list[[98]][[5]]\n", + "[1] 0.27838\n", + "\n", + "$MSE_list[[98]][[6]]\n", + "[1] 0.06571779\n", + "\n", + "$MSE_list[[98]][[7]]\n", + "[1] 0.3606446\n", + "\n", + "$MSE_list[[98]][[8]]\n", + "[1] 0.1524094\n", + "\n", + "$MSE_list[[98]][[9]]\n", + "[1] 0.3509602\n", + "\n", + "$MSE_list[[98]][[10]]\n", + "[1] 0.2694125\n", + "\n", + "$MSE_list[[98]][[11]]\n", + "[1] 0.3810956\n", + "\n", + "$MSE_list[[98]][[12]]\n", + "[1] 0.3222706\n", + "\n", + "$MSE_list[[98]][[13]]\n", + "[1] 0.2687249\n", + "\n", + "$MSE_list[[98]][[14]]\n", + "[1] 0.2135819\n", + "\n", + "$MSE_list[[98]][[15]]\n", + "[1] 0.245086\n", + "\n", + "$MSE_list[[98]][[16]]\n", + "[1] 0.2235812\n", + "\n", + "$MSE_list[[98]][[17]]\n", + "[1] 0.365592\n", + "\n", + "$MSE_list[[98]][[18]]\n", + "[1] 0.2556041\n", + "\n", + "$MSE_list[[98]][[19]]\n", + "[1] 0.2440146\n", + "\n", + "$MSE_list[[98]][[20]]\n", + "[1] 0.1686127\n", + "\n", + "$MSE_list[[98]][[21]]\n", + "[1] 0.2219527\n", + "\n", + "$MSE_list[[98]][[22]]\n", + "[1] 0.3489753\n", + "\n", + "$MSE_list[[98]][[23]]\n", + "[1] 0.1982067\n", + "\n", + "$MSE_list[[98]][[24]]\n", + "[1] 0.2472971\n", + "\n", + "$MSE_list[[98]][[25]]\n", + "[1] 0.3883452\n", + "\n", + "$MSE_list[[98]][[26]]\n", + "[1] 0.2400725\n", + "\n", + "$MSE_list[[98]][[27]]\n", + "[1] 0.3374772\n", + "\n", + "$MSE_list[[98]][[28]]\n", + "[1] 0.2803757\n", + "\n", + "$MSE_list[[98]][[29]]\n", + "[1] 0.2862623\n", + "\n", + "$MSE_list[[98]][[30]]\n", + "[1] 0.3676241\n", + "\n", + "$MSE_list[[98]][[31]]\n", + "[1] 0.2249954\n", + "\n", + "$MSE_list[[98]][[32]]\n", + "[1] 0.2258515\n", + "\n", + "$MSE_list[[98]][[33]]\n", + "[1] 0.1696447\n", + "\n", + "$MSE_list[[98]][[34]]\n", + "[1] 0.2873223\n", + "\n", + "$MSE_list[[98]][[35]]\n", + "[1] 0.2572439\n", + "\n", + "$MSE_list[[98]][[36]]\n", + "[1] 0.2621899\n", + "\n", + "$MSE_list[[98]][[37]]\n", + "[1] 0.2582758\n", + "\n", + "$MSE_list[[98]][[38]]\n", + "[1] 0.2480588\n", + "\n", + "$MSE_list[[98]][[39]]\n", + "[1] 0.2264762\n", + "\n", + "$MSE_list[[98]][[40]]\n", + "[1] 0.2198328\n", + "\n", + "$MSE_list[[98]][[41]]\n", + "[1] 0.2696196\n", + "\n", + "$MSE_list[[98]][[42]]\n", + "[1] 0.3420809\n", + "\n", + "$MSE_list[[98]][[43]]\n", + "[1] 0.3307992\n", + "\n", + "$MSE_list[[98]][[44]]\n", + "[1] 0.2269586\n", + "\n", + "$MSE_list[[98]][[45]]\n", + "[1] 0.2431962\n", + "\n", + "$MSE_list[[98]][[46]]\n", + "[1] 0.3781054\n", + "\n", + "$MSE_list[[98]][[47]]\n", + "[1] 0.3236268\n", + "\n", + "$MSE_list[[98]][[48]]\n", + "[1] 0.3199294\n", + "\n", + "$MSE_list[[98]][[49]]\n", + "[1] 0.1558381\n", + "\n", + "$MSE_list[[98]][[50]]\n", + "[1] 0.2868964\n", + "\n", + "$MSE_list[[98]][[51]]\n", + "[1] 0.162449\n", + "\n", + "$MSE_list[[98]][[52]]\n", + "[1] 0.2525967\n", + "\n", + "$MSE_list[[98]][[53]]\n", + "[1] 0.1803903\n", + "\n", + "$MSE_list[[98]][[54]]\n", + "[1] 0.2487699\n", + "\n", + "$MSE_list[[98]][[55]]\n", + "[1] 0.2055635\n", + "\n", + "$MSE_list[[98]][[56]]\n", + "[1] 0.2962563\n", + "\n", + "$MSE_list[[98]][[57]]\n", + "[1] 0.170288\n", + "\n", + "$MSE_list[[98]][[58]]\n", + "[1] 0.196432\n", + "\n", + "$MSE_list[[98]][[59]]\n", + "[1] 0.2401495\n", + "\n", + "$MSE_list[[98]][[60]]\n", + "[1] 0.3903616\n", + "\n", + "$MSE_list[[98]][[61]]\n", + "[1] 0.220763\n", + "\n", + "$MSE_list[[98]][[62]]\n", + "[1] 0.2044103\n", + "\n", + "$MSE_list[[98]][[63]]\n", + "[1] 0.2057434\n", + "\n", + "$MSE_list[[98]][[64]]\n", + "[1] 0.3359756\n", + "\n", + "$MSE_list[[98]][[65]]\n", + "[1] 0.1287308\n", + "\n", + "$MSE_list[[98]][[66]]\n", + "[1] 0.2628633\n", + "\n", + "$MSE_list[[98]][[67]]\n", + "[1] 0.272798\n", + "\n", + "$MSE_list[[98]][[68]]\n", + "[1] 0.2509805\n", + "\n", + "$MSE_list[[98]][[69]]\n", + "[1] 0.3775499\n", + "\n", + "$MSE_list[[98]][[70]]\n", + "[1] 0.3294872\n", + "\n", + "$MSE_list[[98]][[71]]\n", + "[1] 0.3459138\n", + "\n", + "$MSE_list[[98]][[72]]\n", + "[1] 0.3508069\n", + "\n", + "$MSE_list[[98]][[73]]\n", + "[1] 0.2784191\n", + "\n", + "$MSE_list[[98]][[74]]\n", + "[1] 0.2623907\n", + "\n", + "$MSE_list[[98]][[75]]\n", + "[1] 0.1925848\n", + "\n", + "$MSE_list[[98]][[76]]\n", + "[1] 0.3375735\n", + "\n", + "$MSE_list[[98]][[77]]\n", + "[1] 0.1468842\n", + "\n", + "$MSE_list[[98]][[78]]\n", + "[1] 0.2686981\n", + "\n", + "$MSE_list[[98]][[79]]\n", + "[1] 0.2105423\n", + "\n", + "$MSE_list[[98]][[80]]\n", + "[1] 0.3377549\n", + "\n", + "$MSE_list[[98]][[81]]\n", + "[1] 0.3384064\n", + "\n", + "$MSE_list[[98]][[82]]\n", + "[1] 0.2868764\n", + "\n", + "$MSE_list[[98]][[83]]\n", + "[1] 0.2339121\n", + "\n", + "$MSE_list[[98]][[84]]\n", + "[1] 0.1963444\n", + "\n", + "$MSE_list[[98]][[85]]\n", + "[1] 0.323668\n", + "\n", + "$MSE_list[[98]][[86]]\n", + "[1] 0.1943291\n", + "\n", + "$MSE_list[[98]][[87]]\n", + "[1] 0.2890276\n", + "\n", + "$MSE_list[[98]][[88]]\n", + "[1] 0.2866897\n", + "\n", + "$MSE_list[[98]][[89]]\n", + "[1] 0.361291\n", + "\n", + "$MSE_list[[98]][[90]]\n", + "[1] 0.341155\n", + "\n", + "$MSE_list[[98]][[91]]\n", + "[1] 0.1903866\n", + "\n", + "$MSE_list[[98]][[92]]\n", + "[1] 0.3042187\n", + "\n", + "$MSE_list[[98]][[93]]\n", + "[1] 0.2794198\n", + "\n", + "$MSE_list[[98]][[94]]\n", + "[1] 0.328131\n", + "\n", + "$MSE_list[[98]][[95]]\n", + "[1] 0.1716635\n", + "\n", + "$MSE_list[[98]][[96]]\n", + "[1] 0.2048369\n", + "\n", + "$MSE_list[[98]][[97]]\n", + "[1] 0.3375681\n", + "\n", + "$MSE_list[[98]][[98]]\n", + "[1] 0.2088239\n", + "\n", + "$MSE_list[[98]][[99]]\n", + "[1] 0.1965198\n", + "\n", + "$MSE_list[[98]][[100]]\n", + "[1] 0.2684837\n", + "\n", + "\n", + "$MSE_list[[99]]\n", + "$MSE_list[[99]][[1]]\n", + "[1] 0.3102826\n", + "\n", + "$MSE_list[[99]][[2]]\n", + "[1] 0.2215467\n", + "\n", + "$MSE_list[[99]][[3]]\n", + "[1] 0.4042877\n", + "\n", + "$MSE_list[[99]][[4]]\n", + "[1] 0.138337\n", + "\n", + "$MSE_list[[99]][[5]]\n", + "[1] 0.3646151\n", + "\n", + "$MSE_list[[99]][[6]]\n", + "[1] 0.165476\n", + "\n", + "$MSE_list[[99]][[7]]\n", + "[1] 0.3072017\n", + "\n", + "$MSE_list[[99]][[8]]\n", + "[1] 0.2622267\n", + "\n", + "$MSE_list[[99]][[9]]\n", + "[1] 0.4136986\n", + "\n", + "$MSE_list[[99]][[10]]\n", + "[1] 0.324768\n", + "\n", + "$MSE_list[[99]][[11]]\n", + "[1] 0.1279771\n", + "\n", + "$MSE_list[[99]][[12]]\n", + "[1] 0.3491751\n", + "\n", + "$MSE_list[[99]][[13]]\n", + "[1] 0.2846914\n", + "\n", + "$MSE_list[[99]][[14]]\n", + "[1] 0.3472845\n", + "\n", + "$MSE_list[[99]][[15]]\n", + "[1] 0.148358\n", + "\n", + "$MSE_list[[99]][[16]]\n", + "[1] 0.2398578\n", + "\n", + "$MSE_list[[99]][[17]]\n", + "[1] 0.3431192\n", + "\n", + "$MSE_list[[99]][[18]]\n", + "[1] 0.2762372\n", + "\n", + "$MSE_list[[99]][[19]]\n", + "[1] 0.2773122\n", + "\n", + "$MSE_list[[99]][[20]]\n", + "[1] 0.1902239\n", + "\n", + "$MSE_list[[99]][[21]]\n", + "[1] 0.2078694\n", + "\n", + "$MSE_list[[99]][[22]]\n", + "[1] 0.2814147\n", + "\n", + "$MSE_list[[99]][[23]]\n", + "[1] 0.4356674\n", + "\n", + "$MSE_list[[99]][[24]]\n", + "[1] 0.3717422\n", + "\n", + "$MSE_list[[99]][[25]]\n", + "[1] 0.2381402\n", + "\n", + "$MSE_list[[99]][[26]]\n", + "[1] 0.3709384\n", + "\n", + "$MSE_list[[99]][[27]]\n", + "[1] 0.2317661\n", + "\n", + "$MSE_list[[99]][[28]]\n", + "[1] 0.1480089\n", + "\n", + "$MSE_list[[99]][[29]]\n", + "[1] 0.1161128\n", + "\n", + "$MSE_list[[99]][[30]]\n", + "[1] 0.2021088\n", + "\n", + "$MSE_list[[99]][[31]]\n", + "[1] 0.1581674\n", + "\n", + "$MSE_list[[99]][[32]]\n", + "[1] 0.2373051\n", + "\n", + "$MSE_list[[99]][[33]]\n", + "[1] 0.2965482\n", + "\n", + "$MSE_list[[99]][[34]]\n", + "[1] 0.1970435\n", + "\n", + "$MSE_list[[99]][[35]]\n", + "[1] 0.3727566\n", + "\n", + "$MSE_list[[99]][[36]]\n", + "[1] 0.3154151\n", + "\n", + "$MSE_list[[99]][[37]]\n", + "[1] 0.3424424\n", + "\n", + "$MSE_list[[99]][[38]]\n", + "[1] 0.2769661\n", + "\n", + "$MSE_list[[99]][[39]]\n", + "[1] 0.1639596\n", + "\n", + "$MSE_list[[99]][[40]]\n", + "[1] 0.2633162\n", + "\n", + "$MSE_list[[99]][[41]]\n", + "[1] 0.2819101\n", + "\n", + "$MSE_list[[99]][[42]]\n", + "[1] 0.3196738\n", + "\n", + "$MSE_list[[99]][[43]]\n", + "[1] 0.3103743\n", + "\n", + "$MSE_list[[99]][[44]]\n", + "[1] 0.2499002\n", + "\n", + "$MSE_list[[99]][[45]]\n", + "[1] 0.294529\n", + "\n", + "$MSE_list[[99]][[46]]\n", + "[1] 0.3534251\n", + "\n", + "$MSE_list[[99]][[47]]\n", + "[1] 0.2190942\n", + "\n", + "$MSE_list[[99]][[48]]\n", + "[1] 0.2834624\n", + "\n", + "$MSE_list[[99]][[49]]\n", + "[1] 0.2683546\n", + "\n", + "$MSE_list[[99]][[50]]\n", + "[1] 0.2041031\n", + "\n", + "$MSE_list[[99]][[51]]\n", + "[1] 0.3226553\n", + "\n", + "$MSE_list[[99]][[52]]\n", + "[1] 0.2155332\n", + "\n", + "$MSE_list[[99]][[53]]\n", + "[1] 0.3944288\n", + "\n", + "$MSE_list[[99]][[54]]\n", + "[1] 0.3941843\n", + "\n", + "$MSE_list[[99]][[55]]\n", + "[1] 0.2487383\n", + "\n", + "$MSE_list[[99]][[56]]\n", + "[1] 0.2205638\n", + "\n", + "$MSE_list[[99]][[57]]\n", + "[1] 0.1798765\n", + "\n", + "$MSE_list[[99]][[58]]\n", + "[1] 0.4534063\n", + "\n", + "$MSE_list[[99]][[59]]\n", + "[1] 0.3530074\n", + "\n", + "$MSE_list[[99]][[60]]\n", + "[1] 0.264667\n", + "\n", + "$MSE_list[[99]][[61]]\n", + "[1] 0.2218125\n", + "\n", + "$MSE_list[[99]][[62]]\n", + "[1] 0.3016141\n", + "\n", + "$MSE_list[[99]][[63]]\n", + "[1] 0.2670176\n", + "\n", + "$MSE_list[[99]][[64]]\n", + "[1] 0.3242907\n", + "\n", + "$MSE_list[[99]][[65]]\n", + "[1] 0.3532406\n", + "\n", + "$MSE_list[[99]][[66]]\n", + "[1] 0.1569859\n", + "\n", + "$MSE_list[[99]][[67]]\n", + "[1] 0.3038964\n", + "\n", + "$MSE_list[[99]][[68]]\n", + "[1] 0.1772928\n", + "\n", + "$MSE_list[[99]][[69]]\n", + "[1] 0.1501864\n", + "\n", + "$MSE_list[[99]][[70]]\n", + "[1] 0.2160565\n", + "\n", + "$MSE_list[[99]][[71]]\n", + "[1] 0.2270968\n", + "\n", + "$MSE_list[[99]][[72]]\n", + "[1] 0.186593\n", + "\n", + "$MSE_list[[99]][[73]]\n", + "[1] 0.2724326\n", + "\n", + "$MSE_list[[99]][[74]]\n", + "[1] 0.1738266\n", + "\n", + "$MSE_list[[99]][[75]]\n", + "[1] 0.2563944\n", + "\n", + "$MSE_list[[99]][[76]]\n", + "[1] 0.302995\n", + "\n", + "$MSE_list[[99]][[77]]\n", + "[1] 0.3341741\n", + "\n", + "$MSE_list[[99]][[78]]\n", + "[1] 0.2578295\n", + "\n", + "$MSE_list[[99]][[79]]\n", + "[1] 0.2486172\n", + "\n", + "$MSE_list[[99]][[80]]\n", + "[1] 0.2080305\n", + "\n", + "$MSE_list[[99]][[81]]\n", + "[1] 0.2889519\n", + "\n", + "$MSE_list[[99]][[82]]\n", + "[1] 0.2826476\n", + "\n", + "$MSE_list[[99]][[83]]\n", + "[1] 0.1963955\n", + "\n", + "$MSE_list[[99]][[84]]\n", + "[1] 0.393396\n", + "\n", + "$MSE_list[[99]][[85]]\n", + "[1] 0.2514549\n", + "\n", + "$MSE_list[[99]][[86]]\n", + "[1] 0.133115\n", + "\n", + "$MSE_list[[99]][[87]]\n", + "[1] 0.344175\n", + "\n", + "$MSE_list[[99]][[88]]\n", + "[1] 0.1853269\n", + "\n", + "$MSE_list[[99]][[89]]\n", + "[1] 0.1974257\n", + "\n", + "$MSE_list[[99]][[90]]\n", + "[1] 0.2685044\n", + "\n", + "$MSE_list[[99]][[91]]\n", + "[1] 0.05195204\n", + "\n", + "$MSE_list[[99]][[92]]\n", + "[1] 0.2815105\n", + "\n", + "$MSE_list[[99]][[93]]\n", + "[1] 0.189088\n", + "\n", + "$MSE_list[[99]][[94]]\n", + "[1] 0.3054077\n", + "\n", + "$MSE_list[[99]][[95]]\n", + "[1] 0.2592748\n", + "\n", + "$MSE_list[[99]][[96]]\n", + "[1] 0.1807093\n", + "\n", + "$MSE_list[[99]][[97]]\n", + "[1] 0.1939897\n", + "\n", + "$MSE_list[[99]][[98]]\n", + "[1] 0.309141\n", + "\n", + "$MSE_list[[99]][[99]]\n", + "[1] 0.332835\n", + "\n", + "$MSE_list[[99]][[100]]\n", + "[1] 0.2300307\n", + "\n", + "\n", + "$MSE_list[[100]]\n", + "$MSE_list[[100]][[1]]\n", + "[1] 0.2991921\n", + "\n", + "$MSE_list[[100]][[2]]\n", + "[1] 0.2692676\n", + "\n", + "$MSE_list[[100]][[3]]\n", + "[1] 0.2266188\n", + "\n", + "$MSE_list[[100]][[4]]\n", + "[1] 0.3291491\n", + "\n", + "$MSE_list[[100]][[5]]\n", + "[1] 0.2224714\n", + "\n", + "$MSE_list[[100]][[6]]\n", + "[1] 0.3190718\n", + "\n", + "$MSE_list[[100]][[7]]\n", + "[1] 0.4055916\n", + "\n", + "$MSE_list[[100]][[8]]\n", + "[1] 0.3217249\n", + "\n", + "$MSE_list[[100]][[9]]\n", + "[1] 0.2217781\n", + "\n", + "$MSE_list[[100]][[10]]\n", + "[1] 0.3160833\n", + "\n", + "$MSE_list[[100]][[11]]\n", + "[1] 0.1454035\n", + "\n", + "$MSE_list[[100]][[12]]\n", + "[1] 0.1829396\n", + "\n", + "$MSE_list[[100]][[13]]\n", + "[1] 0.1819314\n", + "\n", + "$MSE_list[[100]][[14]]\n", + "[1] 0.244119\n", + "\n", + "$MSE_list[[100]][[15]]\n", + "[1] 0.1946213\n", + "\n", + "$MSE_list[[100]][[16]]\n", + "[1] 0.2055229\n", + "\n", + "$MSE_list[[100]][[17]]\n", + "[1] 0.3831537\n", + "\n", + "$MSE_list[[100]][[18]]\n", + "[1] 0.2600421\n", + "\n", + "$MSE_list[[100]][[19]]\n", + "[1] 0.3145433\n", + "\n", + "$MSE_list[[100]][[20]]\n", + "[1] 0.1112361\n", + "\n", + "$MSE_list[[100]][[21]]\n", + "[1] 0.2491109\n", + "\n", + "$MSE_list[[100]][[22]]\n", + "[1] 0.3129211\n", + "\n", + "$MSE_list[[100]][[23]]\n", + "[1] 0.2726818\n", + "\n", + "$MSE_list[[100]][[24]]\n", + "[1] 0.1116114\n", + "\n", + "$MSE_list[[100]][[25]]\n", + "[1] 0.1862578\n", + "\n", + "$MSE_list[[100]][[26]]\n", + "[1] 0.2083\n", + "\n", + "$MSE_list[[100]][[27]]\n", + "[1] 0.2447353\n", + "\n", + "$MSE_list[[100]][[28]]\n", + "[1] 0.1924993\n", + "\n", + "$MSE_list[[100]][[29]]\n", + "[1] 0.183584\n", + "\n", + "$MSE_list[[100]][[30]]\n", + "[1] 0.2326597\n", + "\n", + "$MSE_list[[100]][[31]]\n", + "[1] 0.3672629\n", + "\n", + "$MSE_list[[100]][[32]]\n", + "[1] 0.4232141\n", + "\n", + "$MSE_list[[100]][[33]]\n", + "[1] 0.2210088\n", + "\n", + "$MSE_list[[100]][[34]]\n", + "[1] 0.1760141\n", + "\n", + "$MSE_list[[100]][[35]]\n", + "[1] 0.2734472\n", + "\n", + "$MSE_list[[100]][[36]]\n", + "[1] 0.3018919\n", + "\n", + "$MSE_list[[100]][[37]]\n", + "[1] 0.2937568\n", + "\n", + "$MSE_list[[100]][[38]]\n", + "[1] 0.2894893\n", + "\n", + "$MSE_list[[100]][[39]]\n", + "[1] 0.2467722\n", + "\n", + "$MSE_list[[100]][[40]]\n", + "[1] 0.2793318\n", + "\n", + "$MSE_list[[100]][[41]]\n", + "[1] 0.2764558\n", + "\n", + "$MSE_list[[100]][[42]]\n", + "[1] 0.2379594\n", + "\n", + "$MSE_list[[100]][[43]]\n", + "[1] 0.3241653\n", + "\n", + "$MSE_list[[100]][[44]]\n", + "[1] 0.2437509\n", + "\n", + "$MSE_list[[100]][[45]]\n", + "[1] 0.2942692\n", + "\n", + "$MSE_list[[100]][[46]]\n", + "[1] 0.2315626\n", + "\n", + "$MSE_list[[100]][[47]]\n", + "[1] 0.1530289\n", + "\n", + "$MSE_list[[100]][[48]]\n", + "[1] 0.2269599\n", + "\n", + "$MSE_list[[100]][[49]]\n", + "[1] 0.1855996\n", + "\n", + "$MSE_list[[100]][[50]]\n", + "[1] 0.2677593\n", + "\n", + "$MSE_list[[100]][[51]]\n", + "[1] 0.2381523\n", + "\n", + "$MSE_list[[100]][[52]]\n", + "[1] 0.3557076\n", + "\n", + "$MSE_list[[100]][[53]]\n", + "[1] 0.2024965\n", + "\n", + "$MSE_list[[100]][[54]]\n", + "[1] 0.2103289\n", + "\n", + "$MSE_list[[100]][[55]]\n", + "[1] 0.356581\n", + "\n", + "$MSE_list[[100]][[56]]\n", + "[1] 0.3536476\n", + "\n", + "$MSE_list[[100]][[57]]\n", + "[1] 0.2707158\n", + "\n", + "$MSE_list[[100]][[58]]\n", + "[1] 0.3301873\n", + "\n", + "$MSE_list[[100]][[59]]\n", + "[1] 0.4224931\n", + "\n", + "$MSE_list[[100]][[60]]\n", + "[1] 0.3247138\n", + "\n", + "$MSE_list[[100]][[61]]\n", + "[1] 0.2956414\n", + "\n", + "$MSE_list[[100]][[62]]\n", + "[1] 0.3336992\n", + "\n", + "$MSE_list[[100]][[63]]\n", + "[1] 0.1572467\n", + "\n", + "$MSE_list[[100]][[64]]\n", + "[1] 0.2469579\n", + "\n", + "$MSE_list[[100]][[65]]\n", + "[1] 0.3135692\n", + "\n", + "$MSE_list[[100]][[66]]\n", + "[1] 0.3144675\n", + "\n", + "$MSE_list[[100]][[67]]\n", + "[1] 0.4216333\n", + "\n", + "$MSE_list[[100]][[68]]\n", + "[1] 0.2957984\n", + "\n", + "$MSE_list[[100]][[69]]\n", + "[1] 0.3863672\n", + "\n", + "$MSE_list[[100]][[70]]\n", + "[1] 0.2334933\n", + "\n", + "$MSE_list[[100]][[71]]\n", + "[1] 0.2433191\n", + "\n", + "$MSE_list[[100]][[72]]\n", + "[1] 0.4315947\n", + "\n", + "$MSE_list[[100]][[73]]\n", + "[1] 0.1071902\n", + "\n", + "$MSE_list[[100]][[74]]\n", + "[1] 0.2453527\n", + "\n", + "$MSE_list[[100]][[75]]\n", + "[1] 0.3158413\n", + "\n", + "$MSE_list[[100]][[76]]\n", + "[1] 0.4868219\n", + "\n", + "$MSE_list[[100]][[77]]\n", + "[1] 0.1723815\n", + "\n", + "$MSE_list[[100]][[78]]\n", + "[1] 0.1917082\n", + "\n", + "$MSE_list[[100]][[79]]\n", + "[1] 0.2958598\n", + "\n", + "$MSE_list[[100]][[80]]\n", + "[1] 0.1752028\n", + "\n", + "$MSE_list[[100]][[81]]\n", + "[1] 0.396262\n", + "\n", + "$MSE_list[[100]][[82]]\n", + "[1] 0.1902513\n", + "\n", + "$MSE_list[[100]][[83]]\n", + "[1] 0.3294611\n", + "\n", + "$MSE_list[[100]][[84]]\n", + "[1] 0.2636831\n", + "\n", + "$MSE_list[[100]][[85]]\n", + "[1] 0.2209696\n", + "\n", + "$MSE_list[[100]][[86]]\n", + "[1] 0.2396386\n", + "\n", + "$MSE_list[[100]][[87]]\n", + "[1] 0.2023864\n", + "\n", + "$MSE_list[[100]][[88]]\n", + "[1] 0.3251328\n", + "\n", + "$MSE_list[[100]][[89]]\n", + "[1] 0.2715278\n", + "\n", + "$MSE_list[[100]][[90]]\n", + "[1] 0.2811577\n", + "\n", + "$MSE_list[[100]][[91]]\n", + "[1] 0.299378\n", + "\n", + "$MSE_list[[100]][[92]]\n", + "[1] 0.1051867\n", + "\n", + "$MSE_list[[100]][[93]]\n", + "[1] 0.2937041\n", + "\n", + "$MSE_list[[100]][[94]]\n", + "[1] 0.1132105\n", + "\n", + "$MSE_list[[100]][[95]]\n", + "[1] 0.2817491\n", + "\n", + "$MSE_list[[100]][[96]]\n", + "[1] 0.2232636\n", + "\n", + "$MSE_list[[100]][[97]]\n", + "[1] 0.399883\n", + "\n", + "$MSE_list[[100]][[98]]\n", + "[1] 0.2263778\n", + "\n", + "$MSE_list[[100]][[99]]\n", + "[1] 0.3900889\n", + "\n", + "$MSE_list[[100]][[100]]\n", + "[1] 0.1676345\n", + "\n", + "\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "boot_rf" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "0.3595" + ], + "text/latex": [ + "0.3595" + ], + "text/markdown": [ + "0.3595" + ], + "text/plain": [ + "[1] 0.3595" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
    \n", + "\t
    2.5%
    \n", + "\t\t
    0.28
    \n", + "\t
    97.5%
    \n", + "\t\t
    0.44
    \n", + "
    \n" + ], + "text/latex": [ + "\\begin{description*}\n", + "\\item[2.5\\textbackslash{}\\%] 0.28\n", + "\\item[97.5\\textbackslash{}\\%] 0.44\n", + "\\end{description*}\n" + ], + "text/markdown": [ + "2.5%\n", + ": 0.2897.5%\n", + ": 0.44\n", + "\n" + ], + "text/plain": [ + " 2.5% 97.5% \n", + " 0.28 0.44 " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "diff_stab = (boot_compLasso$stab_index - boot_rf$stab_index)\n", + "mean(diff_stab)\n", + "quantile(diff_stab, probs = c(0.025, 0.975)) \n", + "# CI doesn't contain zero: compLasso is significantly more stable than RF" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "0.0811150164524993" + ], + "text/latex": [ + "0.0811150164524993" + ], + "text/markdown": [ + "0.0811150164524993" + ], + "text/plain": [ + "[1] 0.08111502" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
    \n", + "\t
    2.5%
    \n", + "\t\t
    -0.283912044397921
    \n", + "\t
    97.5%
    \n", + "\t\t
    0.945808111396662
    \n", + "
    \n" + ], + "text/latex": [ + "\\begin{description*}\n", + "\\item[2.5\\textbackslash{}\\%] -0.283912044397921\n", + "\\item[97.5\\textbackslash{}\\%] 0.945808111396662\n", + "\\end{description*}\n" + ], + "text/markdown": [ + "2.5%\n", + ": -0.28391204439792197.5%\n", + ": 0.945808111396662\n", + "\n" + ], + "text/plain": [ + " 2.5% 97.5% \n", + "-0.2839120 0.9458081 " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "diff_mse = (unlist(boot_compLasso$MSE_list) - unlist(boot_rf$MSE_list)) # use all 100*100 MSEs\n", + "mean(diff_mse)\n", + "quantile(diff_mse, probs = c(0.025, 0.975)) \n", + "# CI contain zero: compLasso is not significantly different from RF based on MSE" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "R", + "language": "R", + "name": "ir" + }, + "language_info": { + "codemirror_mode": "r", + "file_extension": ".r", + "mimetype": "text/x-r-source", + "name": "R", + "pygments_lexer": "r", + "version": "3.6.1" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/ms_writing_figs/.DS_Store b/ms_writing_figs/.DS_Store new file mode 100644 index 0000000000000000000000000000000000000000..5008ddfcf53c02e82d7eee2e57c38e5672ef89f6 GIT binary patch literal 6148 zcmeH~Jr2S!425mzP>H1@V-^m;4Wg<&0T*E43hX&L&p$$qDprKhvt+--jT7}7np#A3 zem<@ulZcFPQ@L2!n>{z**++&mCkOWA81W14cNZlEfg7;MkzE(HCqgga^y>{tEnwC%0;vJ&^%eQ zLs35+`xjp>T0G zFtL!ourR<+o`*;JqM)EdjK##>nTkn@S(;heC|c?28Auvf7}yx=DM-FTLE#MwQqnXc zQ~FD|))w}Zrccp~)8|vR$V1wP;mVvTVCF@-x-*6P#(`a+b*Zv{NHg&xOm+z22<{W^Tm@aKsqbl*}3Ix*jF$CA#cZ z!}jj3SLc3+3jOO2VQe825&M#@U&t3BhOgd!$wU|_D)QtEnmN*_+;R^bD%9u2nq9Of zM`v%73MwVYA5&RVek@zfe()va&VH6sxBVUG%TP*@O*M+skL#6eqOB~>Rf~G#Ew;jL zLB@u^7?*~>+*MLE`4WvA($jV>fqlhRJf@v2W3rXIzLNSe&Tclj#A;9XHp#rn$mhts zC96LsN!WW&SL2F-i*{{Mz7?7qmLzeFwPb1z|4z0r9TgXfCxY>HW-hiU6L0UeM*cKr zZbMRfK}7(y+nP7`5#timmwukLF2$yayxj1%_$K?-N-nj-Ljm+3{x#~c2OTz7=8B1j zYb%>vvE43CudgrboZg(mZIbwQHeA<_yrY;fuQQ?}ydJlDeQ{5bczL?EbXzj>78ea- zLb4*|&K#EZNS$R_(>!y%ABs)HGeQX^+`9BoNdEo0EYRk2kt#->JR(SLim7^Y>q5S* zkH|I2)rULJ!@c2Q*}c2Zzp?t&-fjO4u#A(@map|+GL&I9519b6vy)! zAAR?I+D(6TSF`@QUAshMgONx6`w}FfMy2mU`(o>w{gmO_Bz?jCm&!q6J~nu4m9%#S4UqwijtTqr|igI?z! zdma0gGuG3=pWn3C_rkm2z3@JGlO}4YKzG7&!y>a4rLA`RsmT$E+Pn*)6LBSMBg!=Y zE%j5g#}tG%&D@Lfy6lH^*jRe6!m_AqV2qZMl?|m8*7X6)v0t<4#lbqzLgr@Oe4+TXOMe6m- z_l|eA6EJ7U#4kE9QSW(sqrbsoq83Hj2z{cN`-St4c$c>P*C(kXZys;F2~EX%k^JTJ zXHq)IwIjFU)6L&UWojPj?OXPInuQF6#DnWt|LH1^WATw#zs; zRGRp`yim}oQ0`!fqM+h_{_p-+{HT^b1CvC#N9C@XmIx@;pe?pZrE z?!QKx8dPT_TYh!^_pO7N&-!Ry^u}zh!-1v8T|!nUV~Mw_>p@%Z7rduEDvg&)!$sPS zzK2w7{~S0T7Ef4JnrZ}<&O;?B*hnp^bVr};ln=|UUTzf?k%at5NDj=RA9I}T*6zjr zzCCL+?D@uK`132Zq0eJw))wD~9Jc+vuP=AU9+}|$iS%Bo;!$PwnA+VMhT;6x1c$jF zZyb*YCF7XBPdpi}!+rGULpx%h4|J}|AJh6E(}%|@!OvOjW|7;2keuf;u1CGAH)r!W z4a72$pWonq7KLKPTem}2YqkpW==YpfV>;I5Se%dT&KH`zdWWDa=40xXLS?%(Td{Z0 zFh*!tNG{HoLwG7@?bS!}9Nji^vSN$iJEm=07D9Z-17f``I3i@~H@1Cz9cJZ&5+%A$ zhptQhbUl{tSJOJ*o8v4SjKK=!2kjH>e5>E|dV&RZiAjB7dg#Y9PAw04&>N{YRfI3s({#p$)JzKujw_omNYUYM z^{Pjb)L0rR;KzdtJZIHwi4PLPmD+s>)t)fW#|QQjb)1vD7>QTKsW4-HP{88 zS+LwHsN{~;cB_VP8odjKN)J*EkfRgheAgD>pfGFXPHVNrVx{2pJAg2Y1%?-Fkw0YVgWpCS5B0{upsGBq--rmTx6uCL+NTr0)atF>Uvo_h+_K zS92tf9@OqNxGd&mB?j~t2khnM6>c*2ce6BV(AqhmPiNG`Bie(>=~c9>Y~RE*otrG<#xI#&Gh9)I(LWb*#0 zxM~x#`TDQIdDa`@o5ScvMsP-nxK;-okK-(Aa*DT0yPrj|Tqn%x`jOvv+U+LI^6(bK zAFwpb_Uh%IGLU?5x*|nk{q7mor^g=7NxhozyUR`6qkacEr-)8!Qd9({jK@K;`)t>= zqg9B|>Cf%z8u#C~KK&xUXGC7ptj3BKMiJMaF9r6xUG2b<(1xoQTm0g9<{Z6fmxdOf z5TeJ*ifY@iR4sTKULJ4E9VMC;R`=Yai`M}g%$s(^xm(sR{J@ZMD!TIVAQyx6QmcQC zffCj_F3#1^1U5N8=XdU@HA$%5>fp_m_HTB8m$RI%b}C6)!%2bV=*Zbd zAhcIQ?bD$6RzI)7+na{my{oJF--+yP@kX&q*>1KKqsn>oSUe0F*+^8lcVy0w zhvi7GN}n4A5{ff4WF*zN`X@GdX&i@uo%Hn9~sm`m2KV z-|6Nx8=0#OSG(P>xnCVYsZ`=vGBmX~TQ5MM#R%-xan$|7x`Xu#@x%T0C`lUOm795U z+-!95#p@CObGw2Q&*y!-&+n*FFc+k-+4-6iAAtN+SvInjUlz=fA9?3;XJDu}hy+s! z^C}}^u;T?g{t^f&fw}pj`qS7!cE|bK)5>0O7rmhwJvDyzKHlsxHTcOW+au@q)9%;H zl!oCl+&P`R+1n>(xhut4GI6UVoRO(C^L-fklf2KRE~!?*%dd%cD=XDM7o`$GKR*2R z8ST+eIgjV}&}$GV%T1@IR>+qyEoZtG@$G~~T*pCjyR|9=vu%$-`y#*+@zWFy zwVDmLVZZr-gz|;jEamOKpISIBB`U5F{+%7P=!#)s+sYXmXs+3mb#Zv^M~bHv1WzF@ zl0hVow<)uW!r}bA?R;l5w(x-0%I)Y=QVvsaei;b(pnNncb-H^VKYD+&!l87OlmtI_zQy z(tK5?835&@9+3Z&3T(d*mpub38!lpm&dAnuJF-G$_MZwAEjQ66xem$QC07`#3%8    @FpR7ux0)DMT~Cg>(9clj>ee^W zVKZS+W@GLN9kk&}OKn(rL_u}CMw^wE z>XDY@hSm;nxr-;sE4!QmynQ<$6|DY1!^y`Q8cG2P@zHI${pHgTLHwRyv4T!E;xpMD z>w{^%_ZjkWPjY#+4Py)thIXxdOmZ7jE-cJ$beI11rx}+ZL>Y3kR#ZkM83b`;UC=4q z&KH#e+4X}44`GB@3SD)W9_0m}4v9dY`sbtO(z zU}k=bMfOT3CxpR)T`MnXYdA~J>0RfE(^|rs2BAVt!|@O_x^*qp9(CHhGNJlpOkI!Q z5gG4*1_-OB!}x&Y6|D;QQ-f$tLek&GEsydp#C$)z#FOj2R<~|@j0X32B$BIGi#@Fv zu`G^HEUO?p6DQJqk021@+ssbuVR66c&L&#J-Iq1WYp$)IQ1jVbV7N^}S$kZsY!%JYNJiL0* zmz1PPKgRnm;RmX76uUsC@6R7BmNH;XV1AAgxJu2?(H*~m2{d}n^5m|ZB%=U`fODtz z<)+a3f_ntNWzM1$$2|o@UG;`FJEt3vEogXXByzE8Tc2KyO#XGQ?YPgs!P!05< zKjQoKHMh-uEx{qTof;LLY9Ry#gfL?qZ4P;&5(I}EN;<`mL^Eq3IH6@e*){aN#nEcg zAo}5V#=-Bj71ze5_pVCdceM(lGBU1sW~^EQSOshReh3y6<|fqZ0)RyUV_S`ZQKUta zJ6E}azsDbxn+@?a96W^a-T?>8_8v{a?}mwwfunWtYZ9d9`sHikQObd~v5%5|g;5X> zZ(k`ftK&Qh%b|r<=x5xPyGBOAuZE%<^vnP9k6P*JGVaetg65{AOL-=BBiO}VcQv)N zsQS}p_GcBUS_q=GBzL!^hR^JeHhByH`oqdoI^nhX_2y_e>2@UEZcMer+JH)MBR%|M zi$-F>SjeHx#@SH}ERl^p9mJjXqf^>Ehw2Fl{SDy~?b^F8m|I%kwWBc4x&d}0VZ_r2 znaeE{-m`=xoh*iG(QL`}ly9#U>$Z4`Fp1|I3~s5~bLYetRCOF?W|?%$3175cgVK3_ z0;)Z-XX>;7P<$_A-F|aGSWGRbIbJJ%%k1xN)kvmSIN#awoeWkSOEL2uHf|NxevI}| z{B<<$vo zN&`b-Qhg*fZ>Qdz8OG0b^^;scmu|sPE5bF0bLT*L?}LC z8%~&t;puC5)gBDe6N~)2FzZ3)JJH{iJ#d82b#!k|#vP)lxBZra!G;^Z6zMwQ7b>Rw zH1N{n4z+AUcRzEH>VPD%VwP+{Y=u_Mw5meMN%&%WUvBPKY72JH8ql1a&W9cJ`qctt zKyXxA_H(OmHISv@xmj@&hEI{(N#5Q1o?>X^T?|f$BY;MIxmUJa>LS~WPv`={DSf)I zzb5i~@}f4!!$0AMr1gkCukOzF>g3%kpQ^Ha>lzMlvWOlDY!|2?`4qMtgTv z>HDLyvilE~)@)$$))F#yA**x=FC5sVC6-_J?;w^A*B_7fjwwFYsXrMDWGZue`m20g zCLT{ft#Z8@@pBZr%wvJ%H|-7%y`CXg%P%C9o^a0Hp28W8hHlzch?sK0V2$ljNWfGS z6=8+N`I^cUEk)~v_*KB6Egankl;~I}=*&apzW`v|bU2@}ZYOlPXp6n3sO-ej;`kK_ zmm9%9xG-)^S;)y3=b5z%Kb=;JzYidX+*{cXM0iFy9{ZqA2vQo__fv?|m(Vt|1g*IL z!O2n&bM&ZqucQ+7S2TEAMab=dCi=?Z1LK_og1NM1A<^KjC^zs$~8-3o>slxRQlKV}<)O zOf(APRnYHTcxy(8p%o}dN1)r^W_#q@SPxR^xJbK~5H=hcW%r>!LHfLh>}*a*7i%!Q3%ZF)NA2XdcD5ItdEwu-T>{e`=O?$m<>f>2(Z-B`7UMQz&M z^vbp;bMvv)hG&&W3bOD>B3OKAXkFB$ul0_b!{gBgz}Li=h8gyMSCHdc$J%=D_NiB& zA%w`G;7*XR!u|^2RFuA^@G!GnWT@7hw-U&G${d$g(3WK(TJEAx9F3214u&#_!1evS zM5EA4*>O!K*_rZohs-Zb+hR@1K9}VSlu{1_0br&~g4N;{aG(QsKwoZBun_LB5;n+* zKw!E|1t25j>lY4H|%hxX&GO<)z|(=Dxf$pf$6RX z>mxQj=9s#^oP;Hf`e8plSkVpgYTq?CRQ{mrGqFD~%q&Nes7$tFWB1rC#cy`6O9M~` ziy22oFac75>CO)=StZ@qeBBIpPP?h~U}7Y-Baw=UsM~V}?Ynt~+bRcrj;G=!C1vLb z_&TR$-GOh31SM?FkHR^760~7KT!O7#P?NHC!^zwv%|`8;OPMo8;DB!Aqwtgz*~^ff|c*lrE-w|ixb zXq*v)GbL-ioXd)_-1N0IUXO6ELc=+i41yDNc;;jvqQ!kG_WMJqX+cF4-|2*&Ud#UW zN7RB+E0Y|Cz}br|mY9=Kmui89&uH<+G;(GBW^{^)2vdOi{n7L9JUI}SsW}_=?G^cb zeRoGHy4_ftFM0;>4^+zDh6tM8=CC@Z%9+xSYPU$fP?Fs4{Yxl%&Ebg3v6QT~Br~8q z`i^7ooTgFUWGC0(OWOskF+I)Bi7q8->L9eQ;_GYEX2^aqc{CUXMXSl zrtr-dNuQ`|$n40MOl61O-V9jA2a3lxM$weFuX;vpM7aq9X149}GJ-b69dKs}2H|tJ z$5|pwZyM8NwZBogUmx^cnFD4OAyLFzw07ID*KifTGGg0mUOB5=qF)_#Jp+2Z_>E%? z0=wAJ)EkBt5vDkbapA+^TRUAr^5s*45yqD)&b`bC+kz3rNJ)m5Rb6D4rrZl4w% z*dAm(i)kO%of}M>>zu&JpS^c)Lk*Ql{o{L=2jY?C*Vo_lg8j`SK-FSoOZXN4X-KNX z_`n;~Wig%og(juF;X@bU9lPJRHxK+M-5g(bYh+rp3s;?11x&9&*(+u=Dl({YnI0a6 zxL-dF^@x(S;}e+fk5Lv`2W?;hgYip=SJAq|eQF4qte`+mY*QL2vVGBy|3Il}AdP{(9d} z^7Z zdB2X+)V|u)bwsW5R!&#=@uEjp;q6S{a~2lo1Ab%r<+Kpt8sehC@Pf*@sm||e+LWv2 zFfm>O!JFe@-E!ZMDG^Syvvql2^I06`tQ*YmDEV2S8fZ!#_^w}--&_V(86wYsYf12mmhB1_5wHP0)?V;MrK;0-iuAW1o7hUS-(V$+$w z*-`VFVUAnl9HZakq!gW4A=T?<@ygc1j~1wXtzzc7k~OJ%*=)4vLuB7BUzb15Di;e; zHFs}2yySMCeS7n6^5jm?H@cfi1Dyx42g- zH&kF?EyJ)+G2;W+gDJkODwj00y2JP^! zb~ueEE1Si-B?wd1uLk_ zGfkM3+tO*1s@71J=FSEF1fwKbjBdu=^}mV?SeK{x3U3?qH`3xGmDM^` znQOC*G)^D86=v9JN-Q|RiD zQ-g7(2(rM7r7x8ngYilzF59x)WyVmIR$mMS^%3CyU48)As5|%*0&0tML%UVjCX{gb zrJ|1Dhuka#<{B|3JOmR;AFVZO-9g^RHV=MRA&FtYdX2?7E1FHjRA^A&OhnXpds6gN zJYR4$da7_`{}lw81sDjH(C%RA%Pzn~u40Zb>FY$`WG9DffSD>(qpUyvv~mW7iiRgQ zfS+AOu<#ilV*6}v*{RGqJ8AD8zbm*|(l7=fxcQJqt1!I5%r27lczjM%Re&jpc$LV( z^>h+e#{5d&jp0PhXJEl`;fIGTMXUj7rMqScYA8WcDG=c#U@^+729a+HJF^P!duqFqHBUGja(NTVW<9RyVAmeh zbw0c2rlJV>g6*MpkLJWnUh^1USd=~Q{`*EP5b6p_?j7WtUts&sH&5aG2Pv{q=nGDy zW!Ux+Pi1Zw4`AtZS<#hYGBCNms{|sOSHOQ!7+%q4V&qS z;pja-SUx#;rNF5NoK^GiGcJ3Hq>^rW{^h9^wgg?E%gBmB}@Qfk8;evSIjXCZ#(z1EZ;&WQ7faovLXj3dQ5a z%A0;KK0Xv_XC~On9|q6>GDFaZ6^fEnx*dCo*O`%}{rhs9pqnhn{GsGv_fj>NGhu%k zom35}gS+IgM8BQL)C~bb6QAKcybliO?{;PvlR4KT89mC(v_ZZ8aUi9Ba6d5sJe9uL zH^H6Udws>MR5{u=T`CRu5)2gT1z9iND8%eY-fJf*3tR~jKdpke~; z4IwK9qruAZ+hws@XNml5u}6HZ6F1cWta*P%#*`!2FPgCNz}NNXIjhHE!kwbempwF{ zdnV}1M_=Osk=*f#PNOJ?oX|;xV(g9QbJk71r`If^60aa#g|)lanHQZiq_3_%r z33n&+R+wTC1ddCtAJj(7!8) zyq}@*`nG!q(mTwbRLWWPiLbV`U{L!h^KOeL$ZbXteb>^mFG0Jt(OS+qo09hi%U9Nh zUe*elR6AG|xak1Bv_#k5H@4);rQO#j(K*rjVb$oWHQFE&10<$v+g~gfJNM}gS$4*n z7H&wZn0~$#jfU!R#tFH6FX`r~eN9~ZtB50i4yAVddkK^{rsa`9z7`(sM!KYRqaST( z)o0Om^ka`Nm#?FT>oafP!5b4Fj1+BNJPmSL4&p&*vd{kfwzru#{FC|-I@P-bpad#N zATXg$BQ8j^rZL39z1&10TX-fU#3sGZ_GG!~dFc6(+EvNBw_%0s6xj3^0!ScQ(tOOk zLML(|Wk#Hci*@gPgFKEHJMZS!b$Zcyhz zBYnHIs|eCFYH!0A)$y~61CK|(x>pES$6ECo4y#NP)>g=*i)?;R4oe0CI zw96m#ika_!M*7X34IXce7d^=zbH@kDeTZ`rzzScF_9EzgDe;&# zbT)5b2I&2UapvFY<+`{)%XP;i9aEZ#4tDk=k58qy@S@k!P0xPDS`wzlltTy;&0D*B z1ierx574OA|(hun%bH`6q zeIwNpqD05Bqj)QUjiucQ(@knc`e^XAg0qUyQGS-1LdDc!Dr)oyPxa=GnYZ`nbXtk! z%MBa($~kA#YLx^2z)3Ih#nabN|0(#h9^@NH%Q%7ce8YSAsE_M;B%6GhqXCt_?dAF- zz{o#M4q^AjhTyx_W#CjD8Qf$7Uo<2Vt)Gh-zWc+_-U2Fq&sntzm}t^@#sg9HCPhdKA);Lee^Ju7wi4g0Zz1( zhQm6*C+9|X!~+|I(((xYB98kx8b-6)XFMX*hq!N?u?Dncotv~mhE-OiWGT^FtJCk~ zZne1%1)gx0Nu{p5x%~L)VkJ66;$dI7VYBhxD5Hi#ocK{0DFY@)Br~u_Wjk284a@M{ zWy!oc-cZC_ZAqKLN2u}V&%qn|1dpWCRPS9fH~{7FLve)NNHM_5U#&NRa6->wcu+%# zA#7kwxB*0HHAYE7I_onnp|dj}3aXCsX2-OFxT%q+q)scrZU@CTcM!kx@&k1rh(>4Y zIS=h2p(swPhj+&m`;|9yx)R>6R)z32*GPl}*#vgI<(Hcx64-6itY(CeX;=UUiq&1G zqjBtJ0DibxwM@r+4M)3mid-aW7|>F$gL#**V2RFBo?fE01OsJDE797C=PzS69g&tL zq|;$XOS22dV+Q}t<&B}>hbc2;vZB#sqlg#l_`j4E#||bqy1kVmvdv|9t*(R;jr7J=vOr&b!<@C&>Y}W{Y?!Ej~d0}J$e`gss=_i zr{{7MYEY&vq(2NJyO8L}`JFvq!A8=U@%-zZ{xzGa{^A+h`jP%kNuiwH=EED%pK}3G zF7X1;+{R1T-t3QzV+Mf)BrLsjlAW8{4`mb${+^z!F)*%(!mi!6zB&bptbK3h(pTQ60YU-YANr&JTCctd)0Bd ze9yxMRfYpMQ&p?H&Pup&6vD8leZ52^+)9mxife`Yb@7R@lTP%@KI+2OtC9{1hHB=< zFISfe+9lOd=Og&Ev8s4$d2dn; zB+A%vUvTt#T0^h^Bx}Sd(_7L)sQh*8PBE2a4=jZejd;vi+>8zdBO&QT%*HSSpOXW6 zD8@A~*tPaO8KFoHnz_<->JB*p&V#&9fFxf@_1xNXJF8srfP4)*Vs+gY;V*T;}b$v(~Sx3?aLE3Ut-oTpnIM8|Xu@Ch7^dbAXiEh%yq~!fvvBHe*v3dd_ zm?sS@peYV2$P`BJHOWhzz&@A%DfjMZx__k2!QQHClm-Lw-0)xV8m$1OX{DU~DmvU|>J^l|tmkoOOHi^J&PZyB(KXEAS!VPnW4@ zdD=H7;#10-k_s+ukrk=?csPJ+9W$^B8LoZ9wkce&b~|QP#7l>Ed6!6IVVfXAf$H%G(RP>gOP%hJns=<`4Y zEa^oSe^)ly8t2hI=}q})dYVxirs?a zEI08XO5KXu90$Gus4YY?XPbFuRain%hUvm<4eW=C*xv4!!%6WhW4S~n2gFlJ+dxz@ z)xgCE{&6~wbfTIEOyyr8Y#+Tj3K&FLbSkGz7>*XaaB5P~%f^- zyySK|)Q745l}sczwMB32FH%1fWNY31-1h+K-rVOrbsUkGjH#+G=X8-GCFtms{Yay? z3>>mrq0!hO))qtQQmcU04|#C7lvOdTgcGeu$)ab7?~oB$va+5Q!Y#$&{?{Imt;SNC zD-=Y+rhwu;w&dES&|uB+afJm9s-P9{^bDATFmVRea&3W#z#aRL0d50n57)2RwH*Ka zuDgsGXe_q(@sG66z9JZzqsyg@!aS^g{S0Le75|;?{0#mnR7FVUg>A{uDNW8?;b~B2 z(TWD8LRI|n(8_VBhpBxwhTf>5U(K(Y>x$n<*eYZ@q3ahjEGy8f0T5l2+XA&1=4l~x7mh%mTj0b+A>iAYS7Oxr7A|XJK`s@yR+%;AM!FBCQ8W3WK9PD7{ z>TQuQp-(sB#HAp;gbe&d=)^j6MSM9v(QXnZ9E|NIi+Z|9s|eE`Bi!!hVe*|GY6O}+ z^|133GSpew9}QKX=9b5Pst{0I*<|TN=QDn2Nm4YN$U^eOC8gkD09LD|GchA^nlgBu zuo1BaBm%{Ejf89Y9)&uX%>ElYiDuSPXpNw&>j#1&WYkmhJ017VK?miYbQb%(ZNE^- z#_Uo?Nc{-5L}NKs!`F)1AOrku=SJF`-(lI})(m>QC^% z9;bZb*#4R6Vn(!9?ixu$U(dlJyKGAj@|* z0_9-QAxslDS09hcI4B-)81`iU>~j;vCDk?;G#W_u^0QH{cIJiwOBRHgMrNFNtE z{yn4b(9B(61uW!$Gu%Cq^!s}4;mtz|L0&e>`VZv5g_LP0&Wm0X^CN(vaJ>$5$40J% zMXV({9c+WW4%G+Xq>E?qO=AgdK1!#or&&%#Xh_LQWU_`-r8V#1`-!I^W;=>>vQCM% z$KUyHYzrIQ6-b+mIRU^(WqrP}QPG!|UK^r*{BgYR1>;1Fdf)kr+UDhWM7;g)go$$Y zZxav?>rPY=fg^hEgf0u%2=6c#36)qVwuH60!fw`SG+rlj3(A!OpT?%m4=BE`+DsF7H~+&WcaKc06W|nM-3-R4>}XE>o^cWyRPh@x{Ch_hhT; zDsmC>_zAOqqcK{PZ}k`507w)#`l|!Uw6jXj*^O)ZQ+lkc9)Uz8%b1!Fv(v-SIg!sE zv8Cl$a4Ul*0};}XzXpj~>jN-fBpmECq};8ggMH+?=l$6dwU-rl>V`YPnX+Enb^M_d z?&lw5AhIDi>=f~O*quvok3Vw8;BCl(PDFdWE$9m{UbTDqysBSrve_BJY*{=qzZfj! zR-{NU#iGIgIU{-w+N$B4Vuc0Zq<6d^5!?to*_YruXeA)f#RdN15l~2Jxyqi_jmKJ# z1RkwFxH0MkC4{R zj3hhsj$8pb9)DrPtr9kjNv^Bf6(Uu}5w4&45ZaPeCv9BB18n;XdGjU)#y)Nnv^)tt zI|_cI0UG$bipuYcHSbqZEtdvX&bk!tyZ=6OzgwFw^|DOMfKxhvMFq4TwWX0$&~uGdlzn| zm%A)o^YRj9LTBf~HR&ugVVOjNt8oP_ zmMBpEZ8vn)!($>)~cegZC!`J4tr6J|n=SN_m+vn}x^5H*CT0+oZh_ zSnoM-O_VF5R-u=}+ZF{@RC<@+*!1q(Ck=Q;!R7&RfG@)9KSw!gcwzV+-ufze8EgW= z{ea?B1c7-o2ciUe5_F)06Ow)=1Qltaesw4l9J>23gsmF??<_KJv>gkOr-RBH=O2+uJwkFb_|#85)!42rX>5+~iaxTsDFXA}3%HDu)f4_3;NI%~^;PVVb=0VmUv?w5lx4$(Vf^}!qR=b#ezL*3p?CmJ=KNjm zweN%y6KZi(4E;*sjh%$pNwwDlH#9rRsMDO8(5RMU;bkV5v~j0KG=ed@ZG_4c_?K)~ zcV2{F^UQu4)@ghT6T4pUo(V|9%g0i=J&17O^t9 zXTyj=XSR?8Y@la>4((pI$d{kf09f`#`5h!kq)@I9)Xv!H0NC-&LAc$ki+V$EsjQEm zp&Hlw6_u}OCdR9s$KfN3*d(0K54x|u9X@l`wCSYvzsO;nwrqr_Vxxktcg%EU zIiqiePfRBpIkzJ7j-^;qcB__yV_!G|O_*?KS6f9(ZpU<0ZK+I+x*U;e+WGm=HFbP* z`FK>Bs}i&;{L|aOx0WAO_w_hTttWP|ywJHGy4%T`O>{VVYMrMXVz};S`1bWQuQT&( zej8wiB8sNkD>@9yuUFPCmlUC<&#EQ%_JF}~rjtXB0#aKslc6zGS_9OFgt97UJWcbY z0aiJtK@vNuGMw;3L>E?nTuN3KL#I`ep=!5knc?H|R+*nP&LexGW0aK7e?JZ8ZLTgi zEf?fh5wQUVe!{b~hfcM@bP1mn%w}n};%)n^X&Da2JFwMqE9)4g#;0(yl@sVYBOYKm zQhgn9pxY=aV(mR2ON0V9ClzwoW?8$2gQ7=b{#6bbyxA{&@+))|Xn6n?5YKB@Csvzm zAh%%N2e}0=)xTFwG4x*5{Zhc63PNY+z`X@tQ=1p2*{w(pPh~ZnPOk9sRjEpmmXE`n zQ-^5-mX~NH!3UF^jNG}sMfe{7>CQCIhg&%pYh&(xfJfAMfl1^6`}%0o zr?YCMT6D-heI5y=b?CwCt8MY=Fy@iO0wyqZ*#P!BX}nL96`eM;^5+S|FfZ$Y;|x56Py}uPNxU6bNb4F&F>>} zgevL+z}6x)StcT48zzy$l6DfM;j4gT76C~F@gid&B68E#^akZMrB%c@Lme{@u1a2@ z@V7y;Y*zS;e3?(hTGl6AOb=xOqY97x4v|~yJiM{NtcDEhoJmwO2gOY8 zvk?H~7d`@A1J)Mwbn{RA%m+8Ld$EH<88_!pq9$QOic2D=!|bGo z_E}e1(@tsl{!IeVNlLEBNKAj-+hr2KVsG)o;Q{%zqJ*WIB;U@!=E~Z$M1qRLetSYx za@1i0Qfvq;LO6#N5}jSIAs5M68$WV!N+`9^-8YX$`}0Ifd@rKb&75-VEGKUqz2?yc zNcjgCYWoe7v~uOfCi~ zeIEIjkMVyMeU|iC+iq0Jzx}24NOZhv)kB^c)^GCRH0ov0?efd?=iY#)|EK>Y8izN~ zqgvZvT+;0y$I&lHu&fhTLD}|au=9V9e#c5uh1)4JSN{rYC0T#amyhk;^`RRhj)Y#BgFr_z<)R3zVi|V zP1mKIAOkpa{&P6}zh3gsVt^xs7^`0AHP+vK5Cwh83k9S3)QIlw|6pdG1&qu)H+{kV z$AwWGOdkH{cLDs%i~L^?SB`lH+k0nFHUj_e*QkZ1Lv`$lNBvK`{co3Rgaej1otE&N z_V3qNhx+-`6$)Ak5dzEO->&)}_gmBjENg;d=QaJm9KnCQ_5V8B3qB|quULrjQ2%#y{CDrd z6oF<=wYvt-B7{T1iZfS&r6R7 zUJ2kIaE|gH*c^>WYlWLX(KuLAWuAJM29OH!-7`_$*qHPunty)>tf z$+Zs{lNg9`?CUOn)p)9I0tsD%2i`%%44rKkojBMWzI{w4;^um#;z?3Y>jC6nUJkSr zgx9*gdak(SU;N#e4tA;rI`;Z0pAYv@i&yos%{{ZEr$hToNmIaf9)BoVapny$y z_~R-4-#@@q5O`bmrfgjg{{F;ZAU6Sp;{V@A_FI-mIgO8~3c)vk&LN;#Qo;ZuCea)J z@uen}8$b;M-+%En2K0t`nWk%4+O7va5D~XJh=6^544ar~o*L}E zPk@8@uUjCqSYPJFfDMhM3^Q%8BD^<>N$r3H8 z63xJ8z;hkN)w^^8%r1C*SFB=KK`xL>7N{L z2rpxOq*Z1Q_NWK?Y7)fVw~vzK!wvkcTYmn4#np$#7nUAI2Wt+cVV;-KQLGow1K_rpcpv+u&s8fP;eUlf{C zeBus%_q3l%b={PZeR(q|Nd(nt!2JJW?=7RMT)Y0!4I-f^7=$8W0MZ~K4F)JB2-4ls zT}rB;A|W81iipGlq)QMKk?sZ&kPxK1&%D7{xS!YO9p{`6XZ*+cvWI)I)|K;`@tf7Z z`Nl$EfvG`r!Y=kD|Cq_CMbR~#s(Iv2Nh&kiT;JZvNNe+?a>G4$WM$?(LC`%_;#Vgm z0LGGI+ZG{K{xBvjS~^#Xq^>Jz*ereTDzp8@8W7U|?2Qcj#PLMssmvPYgS=l<=E!($ zZ_Cu@bAU^p9a1Y_IzhhqeXY7c$WcC22iJV8Hl#H$dF`^OkO3sBy>Ws<1otiL=xeiD zBr8+#!vQbhx)8zDl9N>*ViU+54Rvuwz!7mC8$!$Y!$g!8ETeWP)%JM*lVzPJOd}#U zq6oi*ujLvP+P9m#qZBsl!?Y%%53al)C=k88np{)Ao9U6 zF`@f81J{Mc3K-@DfkLhr(8rbZ*;K54!#QV)d zU=EjIw4H+1c{x3oF3Vo4%JBIHp;EdU-}(qnhR$>*#xa1^OtA?lPHFJ^i(yMLDMCbb zI<`?x$BXe}`ftF!7759IpHBhxT^dc_90afX8Jk+RO78iyRCh5aUt|rRTadAbSnn{} z7{?d<=iBTM3a`Btd|H;#!@lV!39#h8ncUeO8QJiCr);H$DD}%#7$D~-bfPAjbjDraq`>5 z!23Fn8qxIDUF=uGM+|y#pZnVH-~`MecV%JbLf9(x(0S&5thuW{h{&Kn~Pi7Ryw)nN+gXqt|?CitNS zokD0Yh5lR6(jZV|$}j6O;Bs`(>f2D=`^U5;h)I^eq6xkhmp z`P0se6@kO5m2=F}b{`Qy0~aqlQwSmNwUsHiE25|7MdE^a8IG3xpzM*9MZO{qRO_#I zla=$@DaRzCBsru6n8O^x91?j)+q9`_O=@J){Ae@221=aV^sLvXYR!BZF-x-LIXfXx z0%(85ONbA=JX`!Z2-3}7h25(09#085x7?QQnnRk}rIk#XCV>00Nx6TG{=yos5fZH3 zAh4`<+;GIlZan?iOTW-TvXCB2`$mpAbLXBG|U5L&B z2Wu!%8s1@9iM&II-gOl(JNeiC;(fRqNIW=rC)QW5U^)MgXtjzp4z5Nj3BQP9)a2&8 zahRy4{K>uJjkdkP(biD)vbNjr;js@V;*D-4ww((^rt3~Pm*dff0WUj;8#Fr!(5sJc zXgm9wr))g-;_ngg*brl@?}9RRU|kMAC#4`@t(~)_r;B5msMB$X)a-@Jnt!4+oj(nREG=Ctro>2 zRWF2=nn+Sicb@7kLvR!P&@k_FAxHy`NijW%vn9RX2!ioqt!D*D5}7kTyaa zZ}~QCT}4V$K9F%u7oJ4*$S$eWXGz422aN{GapBtjgCSLSSe@NRZ=4kpoVLA`PcpI5 zUvycsorm%n;ozz5K$4Y4TBL=TK8o>zm)D{88J(Q>&E{6^01;v~VD_49zU^w2IRqXC z6Q2JPTp0G;JOk-*Guq^IVp8xyg4G)LrU}s+w1t z1%Hws$=nb)RfXfCgtOL>7n}TKdMhuApkwuHqiOUZJoFc9gNHWMNUom4*LG8vLrH66 zPpE71{D##vKCz@_{505n~{rhiMcDJZD-$n}&g!9~skr+uwtG`~<6 zyiQwf-n~uMZLHrfEoNI`LgTT~qWpu*F@KkZ3i?R2ol=R%$!``kj1sg}I&72ae{d?n zec9H<7$bDGymD7Dt98zC9u0jZUpSeys|4AV5Obz`!Fbfwd!EB6f03=l{Jh$}YHSa# zGpsfvlJlUyL^7o1mtPHS?}g0XItckXq8bE=4%F?X6b*AYgjG+Q5TQfEAyWdr))7$M z@I%Pu^SPXYJ&@uv%*rQkX+s5tw$ql+kFXct;1wM*c9K(b#cNH5owr>KW?bMr7+x~r zTkMF5`lWTSlsI~&RA8?h29TqwiAv^(+?V-f_S zpA?^2H^+R_HOg?YAR74xCP@ttkeX30bkKhc`%_>k)a469ykbbW`?(?lp^ZkQ*j1V9 zg9DAtINj@$*M!z?iWN5quBSToB}&H*I^`V0f6#`@Nn1>A+fMs*I*&PiuVfZpX(Ck~h>?>|l^Q%`-!$sR>7Kd(^Hs{^1UwavWP=AYI zbdkIQ-*1XV-3iP6JQ8OrAg9w^eMc7b0rSb4D`bsd%GxzN{ zyf$8BwzIv}k%zE7s#vV<=Q|=sVWw|;Buk$!?-mRr_{|V8L>81s&4b&1k71WW@e1X@ zH)hgZ_|kV2;jS!9p$Zl6g*)lzzV_r`WlQ&4*Dx7EB@~G)q?#nC({Vnil za`<%mVHmi{SUMABq9-B$P+5m63Ov)^a~ypFs3#xI3^rRr{2ddpRFbk1sExkU?+8rY zoO5`$7FU{?V^XmcuLW&MbDKTz106`5{Qf&)Q#0!y`%FFyW!FGB$<7lS~O0m zU(?$$I^d=Pf+gdEf1L+)9_Di+ylh#`mJl{G{vF-fs34o3V%HAxJByU0i6Bx`W6RY5 z%{0A9_QmG<@}-ZnbhoAH`sqwth;sBCXme=a>{ z$MslcM?rnbOBmuOOgnBbyQ|PhbQt%Mr5sz#Q8C#uzfwNlw**3C$FLdIJ=6%|&`4=HJavoSg7?h{vlN{$4UDoljAFRj1(z^_H zb^CsX9kNN;SV^R9Oe&ll_jj3iZsGJzHH}Z#KDmVE$2{kV5m!?5l{mR|n~wR1D)n&G zJl%~HoZoIm+ch;H>g6|jp{;Ltw#nv2KLq_6n6F{c$?0OKZ#y*eScIZHxwNX`3LV`( za2Q;`gjfelwrM~CNE+-iTV*AP(!or&VFv*=XxCf?n5K7GUANntu+y~a5>z`>(ZNMX zlrH|R4fxQN{<&lYA6)fo?{=hM2PZ2LWOeg;yHBiM30{DsJkCuY#D}?~gV^BsVGet_ zr|h!aVQi}XRfjNk?!EwH`aCZ7WgODt(~U`3dS9QM97}GS2L#}}=m{=UrCBvv1az&k zPMR*=b`^8%t$-4JIqu&8A1ZiVr5c2-LZ|#d7{}zs}8xw@~N4Am^1HoZ9l$*Ms#C z^`LOvK3x8pcl!*WBpfGF7Oo3ob!s7yEGk(6(wA_Aol^-YtVKw0uG3%ohS1?2}{bRbojK(FMV`*gMT=EZmKSfj_o8mO@E3e}TQf+pm-NI#KjQ6T(;kYCpUuCHDE zm_M5y3$4UCBS`Y?FsXdJ5WI?45^T2bN={&5dbSL@>ctj zvc1roA))C7NTytl{m#Ped5HccPOp&$j9V9qjm5lJMj{mWN3k&Lb}ujM1mmZ8J1j&K zKpqV$UaH<{_bge`Cxr`uIZd5@S~34{49xJNM3L7<47fXYV7i}d&XmFf^wk}UZhkCK zu844E2Z$QAFB1+MZGUb`n1QADi4Ows?w3N)dctX%qRCuUw$08rx^+-TgxuuZ22_%( zMNDfAkP12*z+oF|!5FQWn9&0lIN~I?b2Pg35ePQZkvygtGy(%i7C?$3;T9`sy4Yn^ z)2BQrJH_|FUD~A%Q*4K4F^>Dye#BjA|7ldGv#q^Md+2TvjY`B9Guja#)NiQpfk=dp zV#ID1Opg)-_c&}vez=#hacm|jUAdKO=baMUT{F=C=(7Us}xf}^eidD|@ zk^LMsj9EV6oF)pa2W7H01UF{h>y+8|yEtTljf&hAM50m7ck23wL+0r@rH=~`0kk7J zSD`|bDa5e~&Lff9>^S<4&n6(k6w1|Isjjf>!@zPLH&Ni;K}HPZ-M+R1TQN8ML4)IG zrIYXAt+aRDsR?*izr${h9xO*JwS3%_?+sawTQUWJEHD$VjK(5|nVh@Bb+VF$tS8QX zQO(QxK_80&wDND^R7~FvUl-q%qmM-x-h*Q!P|)d0+XO`jQzk zm#hqS1_Dk>8@8C&We{26^)Lo`(j*#=+N?DDEpAlijdOQQd1tK7TyTcU9xs~CUH45u@-iuQ2fsyvxY4>a`hABTQ=&>GeDgsIKzpCol#xoR>?s#9jn>)VIp`O6qw6xig^&h1|ilA*z4Ch zBHGrcOD(`~;AGdYKAr^vDg61BhuE4ST=aS2-{8y#;(C?8u0ncs`0P-n;pvm%cDt-c z`C6M!P%4D_yx9`u&*>k7YAnu=#(7Wt;6?oXzEKJ0rN9`=E_9dF_!P_Tu1(xzx};h* zudm=JriU}37Jrx-pWf`o^P}riZdnP0EYY)C{Gm4%>UL!76PF#RZo(qrC)3!>9+Wdk z>Vdef@b#s|9o`Y58Bz!W!;FD2T_1~-Fc;sY!?4ypV?sVo7ejAVtIRz^x9t@ZeMo{i zJC*4{qOs1)FaY^MUvE2njF0!pTb`LI9{G6RtV8cOH?_x(r|^|2)(id1Q~>_*hlvH9 z=75jwBB@2?xG0M>hmuUc<1jPtGHv}f%*PG z;pO4~@53#PLu?S zv)9pNHdg= zj=!*O3&7LsrhO7)kQv0z?lkvxCR4xi(tYf3fa3DPw!za>hvfejo3~Y6KFFj8a=b)m z2~uWQk*G|Kym7sE?iiwLM+zZ~HXQ0;oG-53e4|Q`wN*_Qg8nRfMA!8R4+L+TzOHm`2w+LrM z+-Kuh0vD^a`IRX1jFU(qHN*BBE+nU3K$25m7U=MYdC5*%?R;(|RpgJ86-hC4#!KkG z6EtEvk>aX)#rXU$yx`98)yRgZQ~!&v{vSK)Jcm%tRMjk~CF~Y&7eh{5(0il|)wJ1B zD^OfP8&R~NRf5SY=~#2{Qki-YP?|$S0XfBzlHoRa+@pVpq}y`fUF*pnIM0QCQ-u$J zdHS5ZgX9tdPInP;ltKvuWdrPT#5D{?`DZmy(?y*`)%#0a>Oxe_jSlnA2t%8K`n+Ne zr=vJ~xuY;GRA=oJLy4)Qv$w`@V7ms5X|Zlw1w4RP?;Fy>9(-~}-}%|>G?JIPCL#@{ zsj+$CH=1}B#RlF9Ms}@t?zb%~3M`z6PJF@GE3e|-Lt@1D8SGbg(E05cArOqf#g`!? z{LosY7A)a0W$Pp)0y{i*^ShzQkQO8|*Fp&@(%M@{wSYRn%*|pP2l3)hc(9aiWUf|8 zyXw?~p2ZGHY_gZOi{_YExQ_AvL4LNZh{DmEe`}AlBZp9w=atyx5GlX|^+fBCgp`}c z#jhn;-nRMx=7RgZuPBcP>MLXJ(TNp7Mq zVCVL@I@2HrBZghFbHEVNVuSK z1~xi^+bBh3m5RsAxWi7vYa|Z>CF7mVz7ospy)rt2s^kK2MZ?j8sjb*04mN7rEdvd z6hl>g8p%=Bm=ydKD7l4xd1D-Kn7)twSolybNd)NY;0=c-j;*4|z7Ofxf=Cojs)XE^ zP}oPC&0~)8g5LEV&k2A9$F2t4WVJ0B_OuT2L!tqiTptp0OV@~{L4-Ayab882F@VoQsjdvRsh_Piob zz<7tCUBVr6--?;O601Tc3Y5Xo(9-F`i|t1RlICU8=5lK#3hrFD3L(PC;T*c8`(mhu z11jWwl%t=PIL?qJ?I#@_ZQ)cf*IXGK%D_@=Y=qZ8sak)I#Y`UlGfY1kOhQi2qNw2* zoTuBIBi+Y5`rLWG`hhjIk%)7cwEE+Qve@+LCEpga+1s2!`5P`BeTpex6V!&y!b7bS zhJ8F(ndq(+b9}tSH1w@TD*Qsi`DCc7V-Vxi%sKGRW8V|(@-h6Y{d3-)65L%7I8zH9 z7mn#HU`+zJJ@PW>#`x@~FOpddi=h`giX5g}vA-CEsB4NPa!OvzQX6-62{jpSO$wL4 zw463Q7eZo>bWK{Ti3}RhbaS$CSzD+omKsm8VYf|)u`XzSEu;>xxq6w#1`a-{)&h)} zt|=5>T3k@#vVL-NxNdlHxue1e33M5!&9qhS=UWU>ZwPR*H9ofc$BPzGyb1h}ZBcdL zqEUD7tky|!s1zkxN#_H(dgq#KYA2>4`agzC+~%WWM&Qw*GI1I)K_8r;v6lq8{9!Tj zSvnUe7Oq4H;BH!)Mm&3cDLo|g)=9Mo%xcEBI)EyiEdLdUUW(=H-|t*Aud4cTueec0 zlvnCLe7$Ri+ifOPQCwy!Z}duriT2z4DqhObjcCV~t3C@Dy<*2nZ#$|_8g&0<~yA?+iIb{r-S z(70y!$k3{RDZBA9g@hWtxQj7UsdPdTL;Au^iPbH`@vQh#li;L?p?GT%p~9w3V)c(j zJPEIBMJ8sht)~|+?N{E|0tC$0#@3iLZI4aU43%w(-o4|={G>l##-8cg$NM>r7s}=#<6hRF zZbg8;j;)VqsLVF1T*(LL%269XtA*IZz5_G8e^h3>+~I< z;{-gh7V!1~`a=M_>Za^*Q*eHBP2j}$p zmBeV$ORs?h>!GiL-cWSpkgUw#tj0zmc_nFy+XpAH<1o|EafoR8$Kdfzp;M7G)N5J^ zUHW$lLO!}c3TnmeCKBMaMC=3q3Z^eUIwRmZ&(vU|e`K$%t|tzH@s;D|K}rbgy7{_9 zCw51efBOo+G$ZJM{P~Vksv0+0Y0)JEBH_OTyHC$XS~zJiJb^-%Xp)0U4%8<0iV4jX zkax+HBlQzVC?1s>7hxyekQ~LR^V|#uCzn>9*x4cr9$DbZ7LW=%osh-k- z-5fr+$f7p!-5-$Y^D6*AGsG0#K)l&HPr0(yOy5*^13US@!wR}^`vK(kzDIdy>^TU> zuMp$Ii0yldC)1H4W+jBAdKd{#K-(SCnP-=|cOcNLMm=1Jzg^yQ)j zrV}CVR|$7_D*t^0oK$n9!q}uoqO*Knd}pS*aJN_cDj~sZZNKUOM^-~yEf4MEb|Tlb zPuZQirA4SDOmR#b&)?lE?)>S~Y`9pTo}4?^RZwT2SX7ecs!-}?cOy2f5_NZb*&(HH z-E}!7S)nSIwI4~X>NlXP0s+#ANqh03;KK8AXIGkujk(o3w8HNH zU|?e55>mlGJWTgzPL=9MYv$$zlkI-m$b@;!Q1fW=+d^suD?%!nNOz3#?x^mNaimtt zO7EzkqGK?FBS`lFsLsx0S_sY0$`LY1Gqce#A4F zLD6e*qT?Yj%!f$Fr&G|MN4q!QN_%T#6)6pmpQ3=O9_EDhW|k0*_HrcB&NXR&7y4c? zF!lE@;M8O)iTyqR;e%NCgt`CZkSpH^zd-FgMAnasX!q|ynJ4Em?F;g7SVlJiJiw@@ApHPY7?MVmkZnczW=K=_SFE+#d& zj{%6ZIkY{xy%Ag9c5k&A(jkv*Z8U82J1@jj9%3`gp_|x94mRZbG3@S095heuwwWe2 zPNoFE{XJ{8B9)+OR(H1XlwvaVx2j2OT-8=n1QLIgekYN~W~4PoqL>#6c&L9H!lX(} z%%pO>Jx!g=9$KA197QeR_Oa|3m~EU+RR!%9a2M{oZ)pi-zu?`WkezjmSzzpY;L=)x zXtcAzZO`mnl`E(z(SJmEp6FBIc8Hy8LX*mw-=`kef_avY+^`$wB4 zFQ#+P+5BGA&Z1lCSPSbH0*~!3LLQ6Xw&1|iI`m=34Ztu%?sh5s94 zz*ruhP8qoseg>n`{)m_Izs}L4cE8%CFrFm*zf6m3n+`NLWkwco(NR+222EdbW1U()>TNLt`X?iQ|M{pC)D;{;*0MJF+-KZp^XQN$(g$0uB}oyUvW zdrauxaTj*MjGvHT=KN!!!tTN>c#=^rVilH(b(`W9lU%*i8=T-ctV}*e*%C}79IMF!Xzqa#~{>zC6NgP~+RE>u*8p>}!%)GF7Okp>?TkCf( zr=mtpmJ}mX4j~)SWB78Q+*DxrZ$uTB0;gkdH;?Q0w{7IYU1Tjj`yt%_b zQ~F}}=j58G6plq?OG)&MtwAWJ=U1z?+ZxJK9aA>UlceI^wkB$mf};^;6OO&qLSQ$s zcimu12N&c+>wb&6XL8de!{ekA6g?^Ga@}vD8HFae#71J(ZaiTyYKH+%Bs(mb`F z;#6t)I%=`e7if3F_e03W=J6p@Lp39PI}^3x5|)%oED*H?Ce^I2~Y` zNa_!NMg`jAQ};0bTuF**saw!&B2%c}^_K~mF~T_eX&{ZTxp|00-`TF`xSNc=@^YIz zy^@LY?7`IbYi>A#S)*x62b$`zk8 zQ`9ZvNY22z-s3Y8zPGnNeeQ=13>nnWpxhh|WEZf-I&&bXsyLKf$ zeWg@k(2CrD`i6A0;AnGHkd<8xPlsQ_J%z*8S1UQ@Mg1%Eif6Ol1dke`tnAmKBy4Vc zY@3=c$j%QORbv&%e+;Oy8ma7-Vdr)hwMZ(SYr(LlUZvz6 z+Tu6)V>%YUl&)2j+oA;*?fS9X0q>v!QJ_&hwCvKYqWn5YIivwVzGThqb6F57Qu5V1 zY(+azzmHY{j~l6fKq9@Z67{)(Qdpo@Y3pv=Njm(`hjjaL$t(!_G*%VYkf6NU%{El z&R)dskyL|70_FltmI)i?c75;~EGj^O@L6`wnjz-HFYpf?3Vv1!eT*{9`w9c?qLr?H zB+^xRTNtwaFonX5y|VEJ-{h^i0&<~)CrpYLf7SxXTq`!BN&C8N!9S{yrlw3D?{^%< zpF3nl(omWDs`HXxtbc`^Y2sLO72Vdcwrryo@ym}Y?fCsN!y9O&ZVSmMm|m< z?=P(?G;AWCqiSTpRNfS<>A1M+@=|CeL^2|4OKa;>)sniKj2r7@R0}1eK*s`(gn)Nw zv)}2>GM$9)Ba1kTI4$)B8q)+PscNTeF5keywY{!27Sh8IveBuHqu6VH7L7$>;VvY; z3(88_w(0e-30*cEZu9=Znq@9&>3N!Q{Y}}RYBU5^y`FkW{^8&FIW>sQU|Z9(|B;jL zt_22)xzuTRD47=v7oTLN_VEBs`yP?`Yy5X#4&>jnwCvHS`-_HwErV#lT!r+1Q6BKq zKoXXj-R1m??m#LGOW)TymMr-%8To57tofMnIC8nE-s zS`Yk9e{6IDVu`lccVy4C{y_`35tJtPCc|Gf+EGMbEID*_??U&kFU}0eu16F_^*=u+ z49sW}&=*&^2r>R=virv)7mt+6lq~1oUS)Uhx@|SUEcyT1A&EK&KG=G!H9t}}fMkwH zgfbt3ZgQfXklkAjsli9UPu?LEeCybr6C$OF6XN#yZ~*PYLM7N7wr`g9d#{-x%584v z<)Z#W&@knWm>;6QafAQ19D*t+2c5H8j!E+$5nL{4;0&&V1f7#5GoCE?HA9I)n?@^3 zd8GoTE(t`?!2BxGW;EekF1i?rvj9+Q5odkrivruv$vsLCgerwFq!hpFn^((7@2yw1 zNB2zDkF_(|WSGJ)^v9#@2uyZWHC;82*?C+p_P}ac+0A%SPhCGAnp4oXR2$0s4nQu; zAxKoQe6)SD&~l)BX4c=0A4w6{24|Mkv+j*Fq{(cg*r^X3=+n6i+X3z{E-H&g`aAY^ zpSDmcCMLvC=Oq1rPYY~< z_y+H{m#vtFbrD3L7tW_4U`A~(H(?1xC~M?p)3R@?WtANT~N&I{p*|Y<&gAq z#1-;635tlu;SHRE#uT+Pp>C_8hlCPY52u-TXD7*C_cViMZD#pVmuch;bjUs`7QM>O ztVXfqrO8{ht0+JhoNh)PDFy~Jmw0`HXiX+7J#~YEjcQa1b*^Z0>+Tms2d_^BDJT>y z4!2X!*BBS5>*u6I>4Y-YFor6sDVn=j;YUYU7^*Eklb7x`m>j1|iOH_}*!F#kt(|d* zDO9mtpF?)k+6tO)v|p4J%>kEYN}oo~$2RkHCQ1R=_&BIHER>E7Jf)CxUdH4APhKxyh);xC~6UE zmN-93XMDvtbn>FPTAkf%;=3VM@(d~6ODa7HDuOxY{;^32H$zpCiIb!oOn+qP9j$)*!NJ#GEd|&3+JR3xTvB_OzR5AI@!v6%s<^!vJ6Z>W!)PB>95@dkhp8 zsyHFids|wRr#>bB(ymx%K$Rln#_~?zGO=}M6>4l3o=qzHaH)7O1!o8)GSsHg_G%EL zJPbMx_}8hEhZP?<^I6<*s<&VOnvhlL7npWs&OkA0c4w%Uov!d;(&dcIQi2uwRkYZo+2I^P(83cF8>sC(%WqmBZ{lUpJ-nmysIsNtl~ zz48S`aA^xfEFm~ijkTG-&I=tuji@h;4q zC>f(ggsVx!kerCcQQqjUvQy-Eb0w#!lEWEDnR<=A^$CAQIO_^LT`+T=yq%-T5ChOzCR1ANMB zP}Pfwi-WbrM^Ru@jp=!?N$84XuYy$58?|uX5Ry`dzy>m(*shBHB;S#~@2+fVgKjI2 z9dKTcI$TPaiv+M@R1N0mBjGrv$WZDwAF_jTga+&STy$lonQqT8ZcFZ+PH}eOoz<9% zdJ^k9+gq<=Jc6J^A+h`GKD1R&_ZK^5POUC}<~zH?_UylM&MP-FY?dJa+RF07)K|s^ zMx_k!IP!$~O8mV-Ra~Uz@{$0bG%%{P7uYPz=1f;ns{eRSUHMo0;3$FE=s==h$Dr0 z1wYjG55@ICh6s6#>)JQ9&k&zzs;(d9IQZBuL9@i!N&Q<2HM4nX7}w!ey+xc-6$+6k z1qEwDX8YpiW`z{pg2^@=2?mD4ap!ayLfzCtL$0Z;<(D+&4+<-V?0Yb*({N$?<)u?< zEQ$sf)CFp)gg7cMjigq;Zok1+pPe~4sy_RVcHRe~?R-Uk;jm$z4j;wYdE*JA?dsLyGN>Ec(1T<0R+xo7&0$%=xlgJD-u_O}&U00D2FiBZpkBXuN;4^>Z~(6s z-vw_{1c)tuM48*d1he3!l@Of(~k7UUiBr~F09wcTwZyIqy zU!3&hNqWYMd~#6^8y4+fZFK2}-5`$DYo)l{v26fK08wZ_I+u9W!5(534Ye@H1~Ab6 zjE|;OVy!9f?$K4Syv_HgHLN8AQ370@%}CI$b^}scnl+Zo222$aE^??bmeO>HjR}T%aU2vcf0COb03&$fF?YOGS3#wCkMDt)z~ZP zLY)o|^A7wvSo}wT8DNtYu5iU1Bw@xU5M0qRzG1~W37s10O}85#3hrFz=aUP-b(!?C zz>*>!F$sU%aJd)akq?N0P5e>jTlhT?DR_u6WG3M0bN^gCq8K9G|Z$jMlS>m{auppJ5D*Aa)(b#FvvhG zwDiW`^T=7z<4YH>{G1xmon67Ua8B_AyLt1vqR`L9dbkpk_B8~X*!6+lTg+MI#8e%D@pj#rsnbppN>53n!W-V5c0d>AKJy+D;sU#9H zC_FodS|*OS8bvxS?O3Gksup#_c2IKWA!#MV(rgjpoVsY*NjPXGG7ZU@(35)Oxy)yz zpSO;>6gs7na$sy;+AO=oH_{gRlVIXX5rS!ofs75j{*{jx%fXE6nt_Z?#9!hC@B-7a zxB(vo688o>K?K%aYdN_Zh)TEC-d6eueduJB(hNs}VmI`ZitNqu;byIiDm*HYI%WD< zkM74pj;RqhWZc%6=LPcRw&PQiGX-%ICiS*=t`ZWhnkI)BiMf$Txm+B z5H)$mdD29aom)xallaeD0TRL%0}J=5imLi=x?TtcuE2h~!EyLA*nClU!7;?>z*q0c z`5EZGuHFUB5+84r=-YEc&KoO7pQfGi|kb{wbB2WI*)rp55*^W71pvH=Iy3b?1Yv|-v za=el9dyRoS-S0iP&^2~$o?j2VoPajkFaP|{e=L;3o7}R{<@{U7fefMLlO{~hUvJDq z;UIpW_1(5J6krS{8=drB;Q7?tD|_E`{AgfV&ju|0A5Ocsp@J;p|P!(rw&Ax z452Cq%00|oga3xybHJwWw-1g>pluSJslk?58{t9Y6t2qu#aFM@2vmDm^4EUF2K?(QxcJ%c#yryAR{tl=|0zAI)e?15&m5To#2C1?|A^XZJPS^V?*U#% zY0%d5=Tbcw;V=xIpC|aA_lbcia0XD7YbV9S{`@uiz?p<&o&O9#i5NnpN($pR)!re; zP6HKF7&AUc+hk)XCOH|^M!iGHG32T22B1yf?LP=mz&8o4;9sED&T-4a0I~!U=xey0 zCtQh*t1EKR;`1ql6iGX!q^p9jG*Z)d9+a=5~9$+JwwT; zDv)|WLUT>F6ZC@je4l6iETI*F7t+`Fe>KbmmZ*dJ)yM7>PG18EH6dQu%CX_@=VO8! z0|XD3-%h(A@rI9|5$_O`uq>5#)Z9PeVVeu}-1~(=O9@ z--Gp7&#Lp`QG|*%l=&Y(;9YKj-QGi{-FpNZd;n@pTXy!`u8i* zV%^WnCG6O3l<2wBk7stUVgRya4pg49k*vG#$)K2quesjcQ4X*x`4VX1tcLYbJH75$ zRb^1<@1ao_1{Y}8DyRNEc-%A=3?3HRYnInnE<&PyoWk*oM~3aUW=kj*@nFc0kJ;yx zvg+-fZii6UZZ!jd;^C$Bj~7dhAWmrKrO)Uy2**hPKwXrr{ot4EhtQnz}#TU~dsW0gX4{uK56zwp1!E7~BAOKY;9fG1Plxc$Kv`=Bp5S z6zknr(Jy_WM0l}gwlL05B7_l72&nHpf$Plu8KhJ3@te-|0|3sHZ?8~p$3Nekyt;=a zPl8@!T3T=v?FPo&JkrRid>W`Wn*3d#ksXh^Xrb|_fz;G~t(>HU5XwnLMVQNVn<_8u z5da?0lp2T3CW{391sfBMC1aGYq?WCGf9II+1vrjON8A?#Gc4-goazi*5laY45A8EYV9noGWh)BXWuFp9r#Bvt=c?xE5oNj$$<;WeijLVjyU&13uRU~N ztEO~AA|DFsy&tKIoVd^lSoC`c|0dgckx(yZbjbyh(#oTFY|5pfhoZKV0DvjjxDS(* zE}!rL3uqd<^}hSp$e{_Z z3-~Q&WZznBP&4!z_h^(&`8C100K(CUaHvFBlmUvJS3lS>o_+SvCb7Kum&UMj zC1V=EN&g6eZ0x~Q=Mm<1-B_9NAaJH~IN0Rard50=qlvCy8uZ5I+X_qQ+xy3Z7+Dsn z(h~ZzR-`@BPEsL7ZEWt}+g>c)>L83|535)}s_|q#RwRIWs3{qLgo77efy3kLzH}UI zAbc<3N*r9MU`A07>CnCJzCbO$(4;jWh4<2~b3qxf#bFJ^mG)}2#s^(b#X5;RgWmcW zw802(i^l2hdr(R4poXZZU*+Hl3aF~oX1)ZamUH#_55ao2m$?v=R_sL*!Ttm ztUWE_7Oz8Omy3PJniC{!_W53;bg?Dws*Znxm02>!e)trLbo@2{!^)vIqui_oQK_WY zW{(d^N~lILr>tgY23m2dYN+rSt-ea2gywgco79(u0ZDlrh+WX#)1f6hD2$Sx&ARXuWWHJ1PLM0K3V<4T_sEpvq= z4`W7pQKM=X(gq99jkb)3NOsf@r}`IJ$6kV_a#D{fZ_*}Ok1C|z6`1TW-N?yxYcJiO zToFyI*qjO>cx{7I?UNvHx-ayRD0UZg+AvdVpbcl~CvO54*`}@axdIhkWA%#rtW6yzcoe7dls;crjj>a$*l3yi zzQ7ZjdiQP3+WpC*yXxI+tvl&)Rp**_H54MWXTmF`pUtBVj(Rks|wy! z^`cx^`G{^}H(Y@0-z4!TPoCOtJf*2D+15=L5@6bsZ9PQdsGvEh{4to=Lcp$Ov?(or zZdm?KdX75%@Xdx?`wi`4GB+8Kc(^#kS{!6}lB8Z~U*zATV*1gaGB#XS#c6ig^5P9B zV5M%L4WW1yT#t9a_3F8(niuAM5f8Vt@^U4YE851V0S(FPE^ez|J^E zOG6p1xml)I113pVbHcn%dm;+3JmQ=?X2B+=Y3jpY<69`dL!g-+1nku`++ze#u~L(v zAAgGtt+qbl+lkDAS6uqfSQSc^^G)^S|l=*OTM<(+Li;Y_I;ZSB(q=eZvrX5fZqlI1$|Met)6I){((XJ;>fPZz#%Sc>2I*S^Flr(L~dHyBd%z zL+pOk%9h#i8FAqk{}9_a**CUfIE#x!Yka<5vQJ@r-kn&}%Q)n-c{ zXBJ;hQ~M5i!O{ocep{TayrEF3j!&~2z4syK&f+*B5?To}OS0uMzB2H84!Ta#SIYBH z$;`J_&;r2E)lJo^q+TmkIu}<}2LH*<+}SJuPVIY#Ms;V83y}?JsnI5`;B-I^eeeUq z2@3!ConiFW)0DGlvUY;?g8NII=JopKCvY~^-7H!C+(k=|HQNUEUt7CxA(p^1LGX%P ztPa%yeg;XtQHa%RU;@j;e=s3i_qF2M{aFhfP<wfb%z%+tvao*A7LxuYwo<{>m|m6wfg07*H1oN8 z!`<3I8%`k;+oPY{IN)O{KQJ49Pf^WEWQvF0N`_^XUeWx5RKc+II#D{`iq^Ka%y;cQ zmh~j$PnqWB&;3@dAXh6^xCV?eQt0z*?+9&wl{K$Qz4Tj75Cr%o;#1ikqXY`KfiIcZ zdk#&Bb{96mQsEUQ#rd9AFcLx7-^1oI7Zi&>i_uMkuEPN)mF-_aqVc3-imZyCpYRTASjpJw)945bi4Y9V%K3_^{XG zf(yc}o4I|DsV@8wG+92ZbS3nuZV}$D`DdW9Q6?YCT#A>kj9n8tSpuN}#O+YuSrD;b zJ@wK2XK=`k>tJBK?e{W9(-4HW@v=9F<2SFp5=GZE&`%U0t2>HuOp1gdL#rvJYbloB z-&7KFRj7JJpx<2MlO1c4^E+Zq8b@3bgJ`1jOek~(#x@19xczy@UlVHXy$(`FP~^&t zEppJ6>UAv0m-@r5KsT6nZbOBpF_QroQjRxfdTknlv0S0LpBLo53FJ*7S!#Lx8k=1F z)F)aqETL{;`&03w=x0cHI~d3yMQ<1#7216mj)B%@fX?4BivJED-f zJ!=ql19N%l8ej5$G$Ub?;R~E;Pp&b#cMXrVy42_ki93Ou0}^300QEPFX}H$WASyr!2*A)@(u&6m z|2>k2$58-3J&etR(TE*w^E>B4YU>fAeu;Z5WBhjpQk>jQxJ}NOyiKVrr|+L(nZj-m z37sL-BaiyqW}gwkfrM0`L(~8I`X*gtrm7FKQU(=>g#@9tRy3FZRwoPmU(U!Boks{O z;%1w=TS8>l=@QAE>yGQ#9}^|;)|luQZVTUk7YC2!u((7DE!yS3rH9Azw%dB}FX6^i zjqZr2r}6t<7K~0<0H7!W)hro9H^kqEjW*BjmxcFXGTp@58c+N9BEv5aHS*TK@6ChMoUk%)Mn;mRZy`Jfet27>KBZfgmm2AtoUp z(kS+#`)3XYF0XsvJJw$7T<1F1 zC8zWQl}KIJ8`2JJ;&&M5hU~xPC`$ZX3_)ew#7oX!o{s{}zI-g4A znQDOx#9RUy&~pfxgI2#MCp6xcyESrj4jtuS^VA<-5+jNWn`kn@@O*w8XN=8(R6{uV zVl!~OB!#a1WYhk%4ZpU}r=n~3-jGq+L-G&1UD4iFIoD5v36e%g4|NxWqcVUvf3ejN z?q5RaeTK+6WCH)QYw-R=7E`0|o68RRal#Rqm`qQ)}Kgsd3CENa@z{+2?UyvQnjt+iRM@Z{8 zrZ`~UycD*b5WB+7!lK<0V+gHKoE)*($lhFLrQ?7$x&x4o!*M+A^M}DvrI5vQ>D(3D81j_{OobB7A)I9k6hF*!fJ2S$CSGZ|z6QU02C`*r|9y>s$ zZP6`u7K!XS^+FN^I-ehe4)IQ!reQ~Nca&o|Hz1ZHT;s@%x}s0o3GqMdBKHzB#0~Li z*Q^=m9#s@VcF_Z!R{oc8b7@cT#dfU1b#$w)YT z9HDFs;D!mOLdftEjye4*;pkfcb#M&EJ7aHhNzy9dUWo2B@1_biZF(5{p%$9l6imv` zR%2ozqWgQiQUsBD+}xga<>E**xK!DLi-e2gO?~Y0ei=ClDDak23b<%GItJTcx`IEU z;QGY!;W|f;?GAD8T$8hzFTY}btVRfE*%Z>YpATU;S;~GxKzWkM?o3+yovquV^SO@m z0ggUV;Bs&=^IT{yJCqC3NBI+6J`0=E2KKTYmobh71+dBcsXxs|%|I2x)g+~OX#%@# zlmxYmv=p8Etv04`*m|H^jql5~gd&zoUnUl*qz1+93CRJPok1F7$sgsTTbU+ZX=(ye zIflv~D!JFaxNp`*e=C!9{}BxtgjRr=0T`jwq3$xKUOL5Nf2} zXd%+A{ic9olXP*%#&DhH&4WPi&+35!K@MZVgb5-sYn;7m18ZDb8$cgF`;ONYphzyr zp5(m~qZ)Y>!p5kZ{*7q>kdex1yfA#x8oQUbUDXG}6>@hkxId$TlxNu*bW-%RCL9>9 z@^V|b%+)=fcj|5BMU){OYej^HI=g051_2+gFU7YqQ=`9V9vLYmHEIFw zuKX>KF}D}Ye0NX!g=Em4Mc&1s+gFf#y&FW_Sc8FLHbAqxKvTmNopRQ!6XB_cbjd_% zXX_`DU~8e=yJK8n#lCjku}`_hY>kq@6(L8EI$%=}ub%qSWOz~0YHh%!6xu_U0(qs= z@&@Bf08y}873rhk3-{h8xf?+anC2ADc|`{)mDHE2<=I}Zcg-$g{Kc%-^`t|Asgu zj%3)&>9iAtwjM01KRQ8V)vqylbxXBb|RWmZRCmAm^j$@lE+SB$kjr2`&a;0rilHm#4$rl=p ztm=$dCj%ap0W=H&dN-hRa-`{Y`%6}Y@~#2Y{%J~F)ktI*ViHWF&1-Kt&J5b$Pm;+b zXAU<7j=@VB+i?M9P0g5uQX%HvC+4GfW%Q@akL&A(a0D$AH8l2mdNHZYP#yeW#mF6cj!5&}==b)t>8R(x-R|zSH*{)O-BJr*v(C0^z&Lhblfu{0q zwXYhR)2S7NB$Me1WJMdvjfYC$Vq?54VdO%qZVbWTk0dNXg-jgIA9W!?mo(kS5vdL& z6y3YijBYWTUbvp$qJ+ix1|CjQv;sn{M2 ze^PK}1}RN2V#1&}(St8kV_ib8lpoVpSnAWRMG9ThDu$QCkOVK0PHMKE`dR zJ5Xo7t7(0&e3Y%r9oFC_iMHyF!%v11Szn`(MJQliUzRSYs83YaKOOew z3Xn&`&R&|Gdbc7sKD^WFdr2>Ttrzd@^x(}M!q>$DY5o`8DSSh8`#Wxw7bge3P7cVC zc~&78J0XPaC!iR~N}iW$${(eplRi>ryqriOl+*6aApB;J9PQd;mcB>aln-OD)`%LBw_=T;4VId(7{`t)AdSfhgj@6eKGk!77fNl|mCL{+Yl@>xQenY55mN|9W^x8blYK9lUr z-SZ|VGhfE>?h zsbB-+qDD(EGvOcII*?QOhKbYG4Qmtmv}!g&e_bz*TdM2PdSphu(Ds*thPKt=RZ;jp zzy<7%v80}c>U>IxCL+pKGI@S>XTVZJ(qtwwca$QQ+lU1H1lUJC`-{g}y?3Tl9_I~b zNvvRGD`gCEq$|XSS8HLz$ps7i{%mI2 z%JN;cfbE_LG6$MOi4D8DIkaTFeXBfsWfF!#{uD)y${}>mit7IO9D=|%`N{k6&Cke% zwi1mX|HT{vF%qqP#yGLUz0vr#1PMAyj57o5H?!?eO3IswUy&{ls_ftH?Z@?%WlgW4 z&iC%|odMzK7#TU69}4qoF$g}{YD-S?D*G8Zp<#kIlRia}kjA|ITXR17xN?0|(Wh;a zJ+7VN{fw^t5N3?i!2=WLUK~>VHkI9Phn|V(u-1mKGXo7RDutSL5nbZU_vuf{~aGR1*X_YU7ku=yV zOoTx0@?KxYCIK38!La@u%lW}AU4MknTI6MR^N2F)^f{abEwAFLWsFJYbPSYOZv73SVH)&Dlp8ea;nZ!ac6*C!-m89kadNJTqDb!({A7%8|! zbj#{YzViIi0;uw_Gr#trYiU zKJW!jc4I?FixQhcdW_44JW^13pqvf;TFESQT1#B%P|30n;~up}UO#pc#r0lt2be)i zYy#WYN(vuGu4_^-%V;r7H!b+L^3`dGea!bIFx&jJDw*QtNJXRB-v`ljtay+t+2p zQJ1S7AS>_`AIpeCqFkE$udGluuN{KQb!>|paFswyDVo|KW|{=3P_^i;2T`}tP)tj3 z&s`ANm-WR_7f5E&CxFW**#X*_rO+Ylaq4#@?z+My`LW3qaY%qH&Cvrrh;vopny`4a zSqNNqY(S+nI#QJRUS;DJ0#&JmXlKslwgl3b^;N1*kc_CG@rV@4TmcgpNAoTbzkLdk z$0@UYP_E$;uo;6iqajJ=WB{^o1LG_a*W z>}i->w;8CB4#RA<7Aspr~Qq(H0otvDozv&v3+IF$`Rd9+sE`wy*@WkWlLg? zrj}wQ1>Sp+jilPvJS+-Sh~0-uCx+sC#R_B)Wx-rY2{ns2YUy$sR5zUsYG67PEI@q4 zisCoH{y7i#v7B%l!+~juC~DZFdpR{gwFVGh-MIzP(Q~LRb*uJ3^XAYCcOr zv9Q(rd?F=E7~MtoJ>aZf+06ToOBmLlJ~-{8T+ewVkDGq`YakhLy*cQujebBmHJAA;m+N=wFKxKLZSvk8t$zZSSBQ4W8W-NPrIt z?Z=}-%w=9l9yyS);!!dL>w^)U*y_Cx7(2|IMX0EdSPjiLZuqXWN^tHfiUobnLjj*7 z8%r^(fETlp(269x+T+RWeok8W%RPjiarJM6ew&6iO-vl=*Hj7((%xy!t9*S^#lRhK zU~za>Ain4fsy;xfTRvv0`+N>C(Rk82S1pZN|I z7VfAl!W2S)ruRsuXRVBs>ohRiwu_PZSB9(SCe$5DFW!T2CA2r;G{})>;Q-V z3X+UehAZ`@+3&Q_-rWMwCd_fV{2de?5sY>pyw9C zLa#GFjf-;N9IrLJKU4w=N~bQ>LVa|f`e-IgrG8X> z2I2N`gejri3s|SDKTYWC@r7onjXei-H^GWasK)LPnmmXzbf{roy^OlZkHfDWb}}+F z?8?w0`HtwqS1lkF)2HuW7L{5>JdF=M_JP#$c^U6+)Rm3m9^Cx@x|mAGO;w-Mo~if0 z6>(<+Do9QN;e%Y-0&wedzU_&!cuB=O8zsiU(kV*3YpeFVtDa^_#FPUmzl;xJY8;Y~ z3CO!~8V6+p4&OjoOd|8`SF~0P(t<3-;X1wMuljzgLWEGTSX|#FPEV)vZ_Ce z(NpDTh#{&AW*vZbcBc@L*H`0S&A@34l2b#;&%v9@uyU0g|;!>UZge0#KpKLDL zej~cH0h?_syd)0+$spZam?Ec#bm2V-IV8zU)vW!!1#Kl#h*)4}J=Mh}@y&X8*ThNN_6ykB~htEMX z7{a!zdn-GDZGQoJaB%6$7GREZZYRoeXe z3&fF}5f`vR#a`jKbHiTRj38)5q0l(Y;Ecr{Dlt~Q#H71N>qc^97eMKc1@bmEBjpF6n|$uY?l=htR#L` z(Ep+e^ITg>{B@KK2ZRlz>;dZwh423LbO>!%QAsuWIzm%Vu~}d6lq^iW4CMBgU%uoR z6nM^oTtzbTrSbh36wF$_iikCB1Kqu9dtq}FwCFDSge~tGLHX;nrZv;z5zl^6mwvv-4kl;D;M(bZ z=Z~1S1FiM`@Wmyhp$F0m&KQdC9IdJ(b9KG6s;T_ClP!C{U~CQl*VJ4W1gNdi-Jo)JNvLimT7$V|1DNvSi+Xx9<5tgL#GjPrZpkj}L z64E@ow+WzZ-~vF09l%a5MY?U*0ed_JV$kU6r>L$jq8tY^#W&}Q%3R<7;a};H}F9Gw*;8vHts`kNp z0F+0Ny=;NrWsI)O8VWq5;u95w*1F1K1!^$|X70#_B8+mkTM8597>wy7xC5bCizvcS zh&!$eXiKZ7cW-D`f93l~yt=O%GEtFKK}KE_0JRylutkoDPVS5}MUF@d%Z)4uB?(ZF z22d9V``RIyq3Zz!eiWo!iy7j3MCVLzzbr+%K7H0KuTi;3wy4&`Ca%`3$PxT7+n^C| ziAOT{TI1}tb&=(=lN)1!64^3~F}~EHyH!JlU0mOElQX&I!$P!$x&=AbZJVnn+Dwv~ zjYfJe+SYI6P^{u-d}Hb!4o&aXe6u_wIdg&BLcct(z1eR0>w7^(>Lk@b?HcLf_mtPD z>W$T_Y!_>^o(*SXH|0a(E7RP>OmC^+VK>eCvo@;YfXQ`Ce~E1MPt6Mnq)9T>!W5)> z{TWLej-};5PW(-E?l5faYX3wKuf_T)au&GG=M54kmoYAFUQ$miDj#q1_%O^WSs)CW zk8f4;tbBnFZ7R3i@$!7HgKY!2=5?cqM@n>T-UgGa3q7nwK>DOXyx>4 z^ZQX8hzWyidnu&^wk*BP-P~>G=o7izWvzi(Jv-%-X>a0L`iE_<%}cl?zUS~VYE28K zjFug8HIs%yPbzV3GNG+T4$w$f-jrB;#eN;rMQveMvJC3yCC`h2qK9jATi(c`rlj2Z z0(l``MPDNPiaTC!`oi^^1q^XtJ!nfhNk-0vcabwGtumr9t$D?*zJ?GaLArhjwh8;w zUh%SddPAD98_9o50!uu`>g@;0LKxIzg{;#T&Nn)r_DZcRTQG4NMElcqX34Hnhq&3R)@wg!uF2t#NU)F1*@0)aGvn;B zw|VUyZ*t*HaKGs5y5`1lk&0c9d;1GR0BAc+E~fUW#K;cC31_Fa$aC_neZ6GhWWU{R zkNK8!MGAp5EVq~2OA+OW6e!DZM)DZSkS%v_?NZ<*NdXALc~GdE2CMemZhJLSZUEl> zMe>OEAs|!xxKHcZldkBltPG9_abP+7!49?28t*@=(@79DqrT*Y}~8Nza{i4fr$`gLg$gQBV>t&!`^BYw?I+1HXfv~*gLQvUN| zbbZL}P-YA)=}aG!B%70;p0%3jMvsUVl_lzURaCc8eXB38Z@xD~E@`z@@My=y5@6kj z75eV+!8&&GzIx)Ybu@UnY;#xd4e@6^%q`e73IRp;EbVPG?Vnp3(Z7@k`t&R_qF;PG zW=vHsaY}%3F^Kis^>y2pL?C5wjFJ;Xtm|n_d-jLg2n&R5z2TpcoHfohmRZmL7@)$Q zs9$B7Ka#DL9BiVMWMrE=6!CZiDgs8N>r+E~?`JM}Rq$snE$g-uO>OlnO=$Jsd;5XE z;*LycRsD;53o#kOJrcsb@gqJxeOXXXgnk-h!*0Ds(HZRQ%eAmdq;$=5e%M!~E7xSy zxp;T87#l&GI~l@umZD3M3Te@f3FiOKYmPs5hW;2;$W^k!G27?H1sjpzOqmz(bwu{tyB z{BGZl|30#nDiQ5l8KYXY zcWqM2n|a)dK7>sjjIgO$k_v{Pwr?>#ptz#GWeuAXatkdJ;=0GWdRVxQm%cZx7cPP6*i zX1!Uc?`XSPcvd)fF)F}>X-^HcEmfqBRlku)_ggMq<@T4gpg{;@YmQ_E)T3>G5e!t4 zy0PK7;i%P53gc165N>n@tK{h&qBmlojufY745hViI_lvQ+dz+x5(t9_5XR{FM|~g_ zkVUJ=adtPy9I4F+GAPQmTuxbs0MyCAc2af#36l^&&7V=HErsDAos&lc@%$%~O~HXO zb^Hkm4gCa#{tnlP*&Tej<>?e|S%M0J?r1aIq?FM|X_iT9z*3QnR- zMvP_V0lx)jECpa*mrFeJsF&me#O)YBG`|pyw3ln4!PUJlCJ_*1cN6rMRGZ>z=G%_o z$r4}$$J>l~--Yhm##=5(^t1nAmoHt=ZQq(*C zNmAC6#H^M$xy;rqZ9Mczv@vuw(fC*VyrMX&qVMGAX3qu|1PIc3sip-7tdA@@R2dsD z3|og*3HH%HL@*#1a)B#HaCrVY^!q;!rsyn0g6)1?rw{y=|HxzOqaXSf7NO+@)|+qL zyet+oasjtgoDJ5Kz{?IDp*#28 zhL%s430L6x=!f#BDkS?KfAP$NM8`RBgZ&a^v(JlWYBk^6S>)bLkGV!O*7lKr-8_R0 z%X(!>tJMs6hBa{dNf0kiwKGi(eOWkwuDnYGZuTIp-{an!K!;N>ceOY{LRa=b7=F5SeI#C z-$?M&t84H0F$RDl==yZLEm5|SBP3O?n+b?K8a95b|eGI7mbBK3f zh=Tr|#|{ipU%5PpGhonmbG_#ACOqmCwUHgq0@HF8N4=lcq+ z@xG}XJ@D_J^Dv%k9NGnUu0w37VZy=`PCf79Vxr!sK=yGvxAjrk#D`K<;&{8%H3bS84V{3$tJFFmP=JunTeyQyvWFvhz#|yHwTlw?MrzZsI zU;I88dpq@AB62#c(isnIJUAVE!9FDkCQyG}31PRW$P#o!I#;M|2q~41^@IgbEOElO z`>f+p%!TQ(?kv3^O#<$Y zfBSKl9}`g?`7%f%;43A03S@+?r9qVbLT%*^D8>y#f4p?kXLk=w3Qpxi*fzo6J1GyW z5YA&_AK5n(S%~B)EA)Hhb8eKHf&lQ`c4n+~!z13pF4`Cqks3Sb_w(*B7R%?ti$i~` z0V}cwhuMPe9Qe4a$3C_3#@u>yiTM#ik7*c~0>{7@x;mconcds(t8X9!SPfU_WN10d zfgwHT@jy1stNMec(SZ&v)*MH>q7RhLND&p#0NOi1EqVaWQazStdh=rvxQ2_MoA2F4 zGiTp0HnTWD{0NI`0$%^Io`uMI2BqIUxSk0-aRg2m??9(gRoF0eR!f@W&_Y;Lt~cMp z55Uwa`g)FQoK{O@GD-A-OnT(zR0JAjWPImCBP$hY%g`rHs&Sv0pRy z_ZJr_Ml;1}Gw4nq{bMHn_}~B6U)LbwvRO-gaC7|niY93CM4Q%~wt*&dhtz6Bew{3B zMNsn5DR%GVJ2>+PZWiRWxO|B17{Q5qs4M#G9Vowxv4zL}?_L+mJ0?PlSjHCTzv_cy z+|5;KP+o+3K{;d`$$3FbB|Y(n`9XaK8SiHv_;5_!bGL8*%g9h3CZ>Ytnmr>G{^Kj3 zIv4KP@cG`A>;Lgw(;3YN@q<OnJG2U7-`Bi(HMtj!5O-pbZ0#v0agh@ zv}%B3H$~jXMo!_U4-Pl#j)b}I?cA0`p7x3z1@r#V%Qifnbm#U49HW1z4kJE)`xW8d zf;g~%8T%@#LU06!_U`k(h$AvjAyc*hy`F1;Bz_I_V{XQz0>hC`wGw9?WS%M6LYF{1 z7>~N1$7a1xGD=oG_^71_*RZvv(LY)xQ3h03GA6{O2 z|G+eA%RFD?t;5h^`_jq!dqNxnal;)`N}}Y!No!q?mYi9~1O*SgX-jM1&W}U|>3agV zb{*G^aTd9Ed%#eDyu$hZ>A*_HK5{qN6`$)+zvx-2ZE8@a#uZTs+YSuq&NO_O`gGO)m#!qLp?pU$PB&63Scq% zSR2OOANS#|+j+PQ#$L!ivje#;F9@?`BxlB}hCbePQ-yMRW8gW9r-;7?FGhyI)|>=! z^ySPu)$U4S*nvop7buE#k3VRUnknA3L$23paqyB(hz_MAl@ryV6Y*5|XweLK0}eG( z2kl%-99ZD1!Psru=IM(2rfr!RjAX5ZLcV$8*0`{}aa+++lfX$fjA``47+BsAG)mj8 zl@iIM1LaSP6@u|kAU^> z3@{hXV`_ne`^7xdM8x1>93KSncMKj*P>H3Wo!uV={KOLi7mrjlX1zX&2@~N%6VlOC zr0d1CO$t}Qjp2Js$f;WS?utYAY=3bv#CD1)zV^Uh{FsfAsMt5*9FgoauFd)e~jX(5Q3-b%}7uAVNxMaJ>0@U&CKxxWG!NWOV`= zBbaeH*Kwov%j44TUmQcqt>|*WvDRR#u7u1%um<6TmF?yVRle2gOs|>?fw^JzI;YMY zRACwW>R?>?V~ad5hBersu0=Iv4il%Lj_g*~1Z3lU0ES`JAq466I?IMvecCOAzBG#Z z^5yO68p75RW9^8C19`PO>?f8LXZs3klH%*}TI^TC%`7o2qOTA*DG>bO;!K0Z@H~z> z&mt$`w)?7C4r!_TATgk#@r{!tP82Vl=efFZF`N6ng; zjhz`r6NA3FJSi!nAZ)muMBE|;DRI5V?dgUOj!53U2}08sW&tRM7VO6a;v!mU>#g7- z6Ha{GAuEFVrtG(_)S+tM4||s~PZ~0uIk_y|fOH9PH9r9btY5Uy>2skFbOiE8GGj{{fIu{m^rQ%$&ro1Z8*jvA-$(kzbAZ%LgiHJGiV43wuud@=N9qZ=RFl(psZW=Ed7Wj9H7doU(3jl=QQ^?i7OS{54~(3s$Yq0v#2; zg|^^MOK1A9bC-1BNREUJC9aEPJLIQ1^4{!x7IpxIuJSfg<}L#~dFz>%(p0#@BwM$>aD zqLY>6Nwn7AJ$hSmN~Z2ds=cVg@M0LSF|?-0HKEqezngfi%A69{q$P*H)u)9H{`j7O z(M8am0)M$F(`mAkT>gG9m01|h24_9Zv9j&^B%2ZuylP(l$=SEeERx2FLY5}DXTQ%7 z_Y^!!&&+|^l{Tuo(;B2ZQ19z$4>4z&a_Lc>bvTp5z;W_JY+;^RTz1{#W-9@)Z9Mgk zEIrvN3f$$1I)0by6LVkR-3fWv^8TJ&AKP|R#8<-1f_|pb+Qn{<{sLOFmsDr7cXB3k zhxk8YS=h3L{@bH9+Uzq@O?~QJ%lWH!E4(@s&Y0o&NfK|4Gjuf;;%T+d_W63a^eS{1 z_iYS4B26tsJ~Iq?(SW<#_!M~S=LT$O?fOWJE^-Hj>zEz@|O*^U;EYtRWAQ8K%-CysTjM zDE_Z|W3gPl@|w*nCPHR#;VZrd8zzm#<^Od|@l9G_(~jjO@3?jIYFcEJci6;;FYy-x z$xI5mlj``icRPC!a>^iV-H*$?1WtKKT~L9US-1khIN_268<>6{D6DD>EQCNJ7a~%m zOvDUNrGOv3t}y!9dL=uDOp#y-2`uXZs`f*$5K}hsc0tNMX`WQsg-pqZL zr2*;(4S$TS$fDXnM3He@S=utnIdDSD9>mf{onwyk_UnmuB&O%39;ZDYW`H%EWEL z^eD9DE-LtU>=a&#EwWT$W=wi=nk!zepIhN%ulfb-;$_ob80M=!LY7*bC-)ojl(jMA z#NJw1;hOkgiSYunGcsUj5GG6SsS z^=KBeLg5L;Y_BqrhqB{7E6VnBL+x0RgUQ#a#onTe_L+zl>IxVnbu4;Wwsx1^U+MjW%<;kykiT^f;FR-~U|G^l&{}OBK!&62>O?vmW`eRt1Je1Qa8r5AS z+tg1k)v@~9?8y6E7FggSI>n|xA@B9EhxKOV*U;JCM;GX=dl?i9jUscY5`z|b?FV9} zac*3^2Q7YV)9Q_*D&;(m={F_berOIRi9Q^ey)x^^N8D8p&>qB_acE4crso<-tJl- z^4a0tfx03uq?D2Dlhh)@aGhLtg6=VSnLD6EaJAJ09FF_s#en{NTzJXMO(moI&5-+2 znS6=u?b*;-X2K^fiqavH59PX8FJw8=YRf6Boa{=zK5DIkt>Qbp;yAJJHF9L>I%gs; zd;4}4{?}3iPIvlhBNAAv?ZoTUW~aJ&{ng~Uj<+|w>!}E5U*Ruch`P>xtkI_L-9 z$!!%EMN)pbv(pK4U*nfa&EjWrjAA3R&z7$&TQBQi6dSJ;@DDc4-c+`ye5WR-Ww+C% z-zS$kN;)6+%$@GNnOztx3UU)SLt7TphrULti*_;B^gLQzlw6f{ zA=@mn#oQ4V+dHO?3-O*Ra($zYycI&*gkh=}A1v6FYhM(21<$$*O#ZM*5oHl%U&rtA z2*zfT=~CfU2*&QZ-L1$Zl(%{FRlc$N!i*Nf@bU-Rl>9M7->x59M0z zxGqEuaaShlkLK_CN7S!@(;-Xd_Lgg-@+KaMQLqpH8-zK%05#Pu>k$cd7XbgEp0DF& zcTy;{>WoM;9Js9!d>ZwR=Lz@yX?Rn7>4RBf~IQO zJRpS4%=iboJ79vf(k&3NX%u*#Ecq`H7} z(@yBV9T(zdB_L`s8g71K2gu8=J*+X=?#32Mz9*|~yMs?p*LfCLZDZ64a(BEgInLS z3?7@*E+La7bh_hT95L8+p!N1QeC&$>0H396e*f%HXW8>!ad)Gg?%9H>#xk5S z1^t|Xqm3Ha_wXUy;vUU?nb-FQpT0VY3+jqrjAE^TpFhR+GaUZyTWZ7Y@#X7ig9(=u zh4eSOedwnp=&yR>H=TnZ#`&fPNFi-q5FmSjT47B%ucM8QY>wdv=$=?EZ4UVi_93Ht z(3krhO9)_9nLz-WFtUuYpn@mW#e6j}W zSQMdjgMTzk{_UnX``FY*hT|*-_nHGR_W7Y%BmP7`Xyf&?RzbREL=dWurM`L)Q1sEs zAPI}}z4cIs_wD8`QaveA@k#8^A1mr}+>k4$@Cyr3LRuM#9LkQ9LzCkjD|y8RB-v%f z1@OLVppGQ5+tlMCW3`oUKXh5T3Np~%0GCQF`|bOsXMv{^HC9Bozx2pY%QyDGfo0#tDVlw7K<_vL4p^IyHSmI5?xS4b zR}Djc!4Jk;2@@kZ8}Pj!U9zwfGInLWg&yBp4Oe0ef!>9LaOXOt9ZopSe(tXhtSf0 zdFn13hV5(r0|>O)bw~#hFf!%4{yu@vdEAe~wnD>ixE21lG?UYKfoEvzVpk zv|c&4t)|tn*K6{xM&zl&}bYzi;Ak_*D9&v6X&EtWm3)XG-(2 zC%K;~BJzBC9k(l}sgNUrjC7gevqkfU-lj~yiE)0LtpD~;_k@`JP!jP!bI$+R1n=@; z5_6dk9r~YU;_rU}`F8@Rf8^i)xq8NU;f}PcH;Dg2-Rh`Q@%Kcfoz<+=7t=ld@AIZD zq*Uu28fg(*8WHK2ehwa5%ijC$nH~01O=)Um@Wn@9iBbwqll!gAC^cb>SpIb zkM5r%uZH6-)%WVmKc?v5-fMXS?m$97l2XVNw z-wWb5y577xO)H9=YhB!@|CLH0f$@sHh?Mz{2^2(931t#jZv4k{kI%q@kVwU$4(neg z{qr4%qh}qj?!V2U35~Lh3{Qvg41`z}H+8v279)PutPqNkPN#-?2eN_-LV$=)lGaw6O(7O6eW;l2Haju>= zpl(@y0T->?jDT=OX|BIn9yjYl=BP*@+9n)NX+%O3l&J;oY9wR`-dkKJdt{qz=>mW+ zKOdjDV*U10`T@>SJiqq19@8^smf7#i_{N)G)m$QNKGqV*6FM8jku4ubAmkqZq;`c) zOl8&0ZIL&>H4P#{m#Hj;PG3QH&dD6@d7Bj9;=}48L_UQzC)(@S%zpoY@H=%r3Qfkm0Il;(C?amtC!M{F6mmC{wq?Hhi z9apk)CEk4DhfCphczeR&iLN5+B6f4JA>)dmHWmQl(`L5jXhd0<<1f=OCf&x|jg3j& zY(Ha14S$jl?Y<(Ye?PIACJh;BjRCvpD8R1T+eX#Rych1fo6+H}fj3Ln8)~icOuw7p zez1|4N^(>V5=5~qeQ0aUTg<35>5hCZxW6P6-zdDvtMrPcTABF^c+EPdz1t~Z*=IE_ zl1P5MmjP2KRiRhRGOcGlL?zy)Kw8xvKK*QnJo8&P8-JphzO+clvkGzQ8QL1hmBgMr z(Un3udCL3YT}K9s3_LsPVFQrci4BqCrWe+>bZid}+BE2APAP16UCB?B%pyVd1jV;m z++ggD(f5k%YksxnNwG#RMd#c&zxDjEX($%o>iSZwx|Yjpc2BE6oUP>k`$ttdMt3_` zW8T9z7Jsu4a1zSMFz$9!7R|)PJh+PNh`7OoL2_Kj!rDvuH&ew0*FTB z)Tf7;@6OWa){I%rc_G)chyd5Q*+dL89yQd>iL%Vr4D;=faI1pyIoAnHl|j7tzL^vN z#_ukpf18WH7L!nieO5Adxs>`^Qp)3jn)Lv{Zs5b4pVh`a>6VFsuXmb^Lp< z;^_G|kG2lrdDWdfE7_1I`s2QPO%i)`QTL>iZKNY@!nu)OCeY#HSxdDi>vedFS^HN-t`hVOt zIJ82~v2HiZI9dMs+<&=gkel~@-%Gn+S^y73!QDG&6npW1c=ng`(0s)5=m#yT+Z_Am z7_7;1YO!B$KPow7g73M;z1I8e>3+W+S#FA@p&nuJ#AX{P@emeG+h;x`dr*?vvq{th|t)00@l zA!>5IrVAqtKaZ|}-nkH&VKHmGMgNb@3h<#xTrFKaD5B~43M;#`>%S&PFc8@{z!v5veuSg(p zP)SWiC0LE1e-#{;E)sFMU*q@T$UhhRUHD&;I5%EB6#tK@^#}Ox!#LF)oBw$3Izo+l z;r|51lpNS7e=qg(aahv8zT0Ik|Mu7Y-|@Ua!#v)0_u%MwX3&z~Oi0i*~M${r8g%$a+MetNh1sTMA$+GWM6Da9@7E;=l*E!`J_RdU%-b5pTrFQ-Db!U1S4g zGBf#UMnm_;dveo(dMS%2UTC$dwF_HyKWvvY$3S98l&N`=$`d*&^3Z^Nd?PML`Z!8J zzsE?Tb%^SP1TvC1K={9vNP)h#Zf{=ZDSWy+hz;5i6zq{=`%IOt<$F zB7k(*BfFEATrikL6#6O}v^IRadlH}1Dx;NGQ*u2s*;WXI@hGm{_c+Hn0QC0vg8sC; zNqH0G`46Vr_hu;7;tlQrW9LAQQ@MDVd|Z!IUJ;jp=nBfN7gE!}3|m z@=8jU>3YY4^6@bi5RI#-Kj)GZNj}l?0g^nB&3N}YaAS3rMsckKFJUCiX5lp=U+bV& zO8EepE*$#{y8qeD7@R0*(d zlc)%fy-nqo$L;;wKiIn+;`TRHYl}x2Dp1RL(tD;gP9xyV<_@$lt%gqI!DkSHEj=N_ z$Lx!li2i;J@Eml6?^*3FFrJnM*+Dw%lYspZC)_-ahce>4^O`Y}g>Q2gfw$#h1JVz5 zU4Z?Xes#RZW;Sshx`sRI_T)5@r)f4`J)Rz#U9`8TeU<^gF2whe_sl4&Qhwc_V(686 zVzSOTP3L|ua^Osh``!lU$viO^k}D(YkyCU0UH6DntzsRn)2%K|s1>P`0p+~+Am_l+ z9C@#2Wa$oN-8*FcXzI99u@3B25h}E2p?oCB(TVqEy8Z~&LBJU}QF1{#MZcF#BQZ;_ z8=~SpnobSWV(TSN7NIr9QkMPPGdTIgAl#aVBx;mhtF@v-Za|s3v}ot@U6ZDOfteP} z^p_9|o^|^b#acq%K{-anr*X)+{We8)TnG~C-cNIle{yPt&SI)eE&fPxUf~M?lI%Ol zzU}qwv+u-Z@Amd53@%t%Mi&|do$>oR?(wZ9ryx{IFk7enQ6O~rdSWJVV+KOu5{-Kj zM(etHO1{kcgXG_D2F_XG;wm|xMtc^_*U27=Ohdg#dJDuEk*1!qKR81Tx2W_cmz$a( zlNuP{$$jyCe&Vb6RQDHOdlY!pJcH}kl{kb9*xz@L5EQD9w8tbI8FifBDwtN~*OwHK zn{SCo#7)wmkO^T_?6N)63T(@U&2Bi<(FwNkq8j%q-|wxkvN_+X?e>PDizCEe51XUb z<;Ma?vr46W$yKzcTF?0@TnYa1F8Xe0cT!7BOULW@RJFZW)*Y>}LeQhTrDNe0#aq3u zPVdpI=?jAefft#L%C&^rQqdP!T=;dmpG}<{bu`zB+N?IB4onV%G=1Z#bn@wT32D9j z7V}r}qNKuZ9NE2OIJULJIYRDKZ*vwpqC$iqi1xTr2NBL$NfjNY^{EfTVN8$c&fohE zE$I9}fk5hRKBO+7AaVDSIwL-#wzpsyS1&oc&6;69#Za}l_nt+N+sfO5S_5xH#p)(G zl4n#~8f*Me{rH%}C-jVK`2asWl+qygWo*DGE{cx~ALPT$WlV@dJN2MW8NJDz#tEO#XSQh74 zGDZm&Xv~~xcSdvnzWdT{8E+(08l4FFXaNi_O*3Q zdrJ2yu}9q{+qw}@0^nSPtK+{hcHO$FFj7zRI@e^(CFi$#HRiC^RvNyEVc&%6T5hb)>Oe8fAyb z=sn9*dBVbi+QN~4#H?UT_(q>}_5U#x>zv`tz$Vi>tKlxYs~MQ_@G>^AHnJTXoN_Yw6#6Yz!tK48uTWUA;_#y8ZVzI$xVNcpTt&O4FN1zbM-q+K1mS)>;^}C*;-dV;P>&n5! z_WaprvnGWG{k=bC788uAXVUss?Q_khM-EJA>3VpvK!aQzhMQW?tcJXHwFM9S+#T0) z89+ia7T|Imqc2}qx)3?0#zHh~LrbQUwzeg-X!B0?&CyKV*XuLffn(xlHY&PlOF{Z} z_?(;dZT~&{*2#OYZouK<{{4Z;#GH@f%I^`mFGOfrFO3Z(L>6CH%+&Uwm)Axr4(kT% zLfF}dMDKa_nKv!p?Zm4_aW23;Y`yVrl=aD;)1a**Fo*)7hlip=aNM|o$W(rr?gz=5 z!n91Jl8~_Z%0EFe!|KZ#=*MMuAIbNKr1< zWrPz_dy3_Uze+IU=(iwJ(8NagYM|ce4Jvyq>4?6D2FL$*m+LbK<&h&KxV9poxvD~m zcwGkP0#uj@P(xqQ&OEbtMuB9)DPU|D=8P>P1|4|*P3w|RzNh2w?ZK_5>Vzl*2DStR znpOy(5%4?kOHlY7#7adxj_X$fFAX4)0##5eOcO7e?2EvN&TE)RgrrUoK) z2*(7(7ZNki0<`KQK%M((7^@Hp(-)wzksoEmNiSq4`Scz-f$HV|g(gnoSab7`8@I` zp~uRJpkkmw(X3(clauP@tg&C_W$UB{oYt;87wM<= zTK7_E`v@3!%P7NP>%u>A5RMbS@oso;irUtkP$G67TqF}@I5b{5v8+hQw|5vh1Uqh^ ziK0s+%8=}W@)l`VXL2^?OnY(|qE46w5==EvQ-+htR((zB&2#qb<%t!L<#g;}iZVO) z>C7SH{4<XB(nx5FlE+`U zdXHpr9;Ts5k1!E9RYBh1%5xr{6QFM2nTIK*1mJ_kj3G)zRJ?t;C1)j;H z_gDCwAMhP^5yp6ZIs*O0|6%XFAF2NP|M5~vDjHIe(L%QDO@-_gvO~x^vf~&@T2}TR zk-+#f?4|Q^e=XpFI<34V~kw6hQg1!DE zUjVLRSTFEN9r;^=NjeKs3c1F7${Bt)x3HOYvm7G}j`&E3q2%9Q`Y@5uhS{?vqrEhB zs_{00y-{&4Mp)LnBo8T(JOqinlUj*d1u8b6yI;Hu&ou*ZCteM*k|B-HZus{j-O)dXf>*~JmxIgx3cX&bwN_`BO*6V3&7L(W9xaDja8Tq3 zr&%4yw;L|Gk);wcjiq+@@x&`6Jkr+zpo4dW4|ZT>8GkQFIMy z4@{&AZ$jYI2>OVehmM?JnXi0I9(6%}A|!5%%Qtezx9HAn=y~^=!*R<~CG;v}evaGk z!&Sl%4WRBuI~6kF%O^zcJ_#X>OgJ?i3fC|_e#4lO`MLX~YbQEtlPu;6U~sBAAi@~G zSIz4r(MT!lH#RiJaQxn~Uzb?5&SQzj%?E1mz3#KrQOX_{|D@y~5z{{Yt4z))=11BI z0MO)p1VEXExRaWjTEP(-U_`BrNGJAFyay&i3y3J0xiEr2VB$>>0x*1d5;Q0)5q&2| z5Rz^BU;@4hl~*1-m&zVl?9Y!scNK4UNAvWZI|m&_0Tq!e`*Z{omvKc64xP)s8VyE( zs>yn{@K{G-N?^v%CFT@=Nz0_`Nq(jZ4aT=RC?`@AXxv;RDhWpW79yNM!9rb97AUJZ9gK;(j}` zE?@k1K5fUemzg6^SAN&DUdj7*c?!Z4m_Ccejf?O?1??)f$UEB*NloGIO)s~a4RhCl3MV}=6=w$Ix4j;V= z@Gm0yLP9C_^Jyh)eC^Mw)`u0Vmm>>=dfbCxlzl=WZxM|jcNs98g0S;(#tMx)02LAP zTKhDi)P@nN3!|w+76;;K|Dphp`ePrWdKwm1B}wGDG>zia&MB(Vri74egU>`BLdwC zN=MD;-=K=fxpn*z`U2mhw}`Oj`a@Jf4cIG?C&i0A{wgI5hD}ZZ4P!rHatsS49 z;&A{+&sTe?gY@4$_xd$Z1PWLZ2;;3w@5M^(1FrU?es&{@LJZC}5ezfH_IkBadn<%n zGlB95TdXro9PYBjov6nWvzgsO1z{u87oP_O2ll=Gh{)bNqbPWH`z1}6^l#W>8^`ze z+%nHm2z`Bem+m>6cHUc%=2HOWOIw#Sh}T3vLnk6DI3p0NGId%O#EY0f-!i25#oo7@ z5TVl)w#D+wtx`I!cXoE3!uxfO#$q9{sL1IoczMb36%^vS=I@szD`)M2_taZ``zo!~ z^<%meh&sk`5w^9up63*|h*Xc=ypzHBClqL`jSP0@p^Z$a8?FNy=f!M4?);!U?xuoOr#nsjrC7mrVFMy$BsVuYY-%aqrO?t7V<`-6!){I@1RF1YjXi^L6s2039JLxH_y&|b?*eY z1y>=r__G^c$a~oB5WiCU)pc1PVARP96O{^%@f4qAT#5{_R~er}=( zi2at1fMHnZeCp$OPqR18tPN1&j)Z)Zv9fGoK=v(CU&D>kOb5ls-Oi|=LP^6@wSWV= zbDDeef~BLab!(xZLWa3irud11ocs%Wy8QTSM$)Chay`x<(2^~N}1yz8nmPzj52z2v$com%SdYe-p!NXH5}H z6OEf{v@3We+>~PoQXr@8A{@Q` zd|8lI(ba{ra4}s~&@}&m!Br2@9-tBpvd*w8J^4I2I8u?*fi6nkKz!MB>0U4=JxK*# zhyyXNPyg^BE`R3>m-pr5?U9)~1>YaOVtQb`7ef=B%!wyvhV6^}`A$1}fg|ghO+HC~ z?u|ExENVNO8_M+x$6`DKd4&aVHyVs^FN7!le5uXSOaI4PqjXR`(z63Jt+!Li53k0$ zZGC(~2M~8={I?ghNPWG(WOp2n*{dLSRperxup205n4yD9{QDXE{dHB`rFb`H;3hm; z*p%5)x=n`y8|JQ=S98TT(kLJYi446er`J(t0OZ8A6CXfGOtYjX>T=~@^Gv#E()F#9 z_sXByLT-J-QS>fT&E}s$CoQGI(_O3cJbdcs*}o>5kz#O_QRq&lavOu@1i3ZOf4n#x zJ{-C2&-7T~{G?8k=J@1!_{90&ZT8+1cd}|;{B)%lKJK#D;j`zo;Qj>g*rk>&5MAaG zf`b_($2^WC7c=^v4mVpNR6$zwdH!Laxrbsua!?$i6#J@E@}m-oJ77zliRhuc`r;AE zpCOLyzK&Czdsx$o%yEnc#~oC3cawMQpSzQ;_iBU_ie!gRJwE=AyYo)Gy>K9kd!i3n zEf|e_+5dQX`0mX=-$J2OjUKOj)FhkQ?cM<%o<=!o-_DU}lAFaw~ zyZz*^)zaJ)24(3YeH1e3b?{M_aV^KpaetO8#*yPTD*CLcFbP@K)20TYaI@ph^ublq zH-|a|`F#MuV*o4t|Np(=axk~pD(O^AqbaR>gx%?RF%eXq0bmRIzcY>Sa7V4#X>IsrHj=xsBg89jYF%6L+4&J}s z+wy7r1WS{- zNZvo3P+LVLpXz3_{PUFtqZn~@3hETTTU39ofvF;YGkf88tI_dsk{R{qurmMGdmC@! z<`_>9SR-;peG#dJC7*pX9${)E{}P0Z*&T>54}so{*M}`sj)sONPl%fRJ|i4eZ!Yx! zsmIn(9`P9zU1*1F7z3W{(13dNx=_YSF=!uZ8)0>nk|RT2UYzg7lGYG{d70>b0tp5o z={Lg%<_m**OK4iKNONg#U>6I$uAHsuUY2jR1H9i+bitN$1lhq%4b+#1y?q=&41Ik_R?Z>Mf!Oj8r^tTg&%Tu47wk&~2i;7%>RTDFK5ptJ$dHn_-dp!6Y;)kanRlFik;Ur>UOd$n*z%1?kR-2}xTE>PZ! z>)RZFK7~!J>lFzIn6xd64EOZMx3o<+)k~Ztc=-xODTXnNmoYCZf`umHcozu+9^+1n zBE`)NqZwo5{a);k$7%ZM!h^v?EoQ@D1e;esf&z7MX;CZmEHP~KwgIIZokRVa+<|gC z^v~*_`REWzT;_@7`@PwNb`*z^h{@F;s-;)uGiL+!sTz{`mB16NEbgSPB3U z&aC%&AY}qQRP;7#_`W`Nd`g(Xxg`K}4rWhJmqEqCWrr?grS=h|C||EFpq{RedxY)K zx`cO#NWDQzkrQ6tI6N;awg1!!M!E$OL~83~=wUEH47!mY{7H@N+Wpxf%j8HXI*w$k z+f#ag*@Z}tx-1O0g$orp687mS+XuKqM6Z|lPJOBZvcx4npSOsMt%}o@2Jt_gAcd8U*`c_NH#~R8~y!b9-;f+h@ zJPSUoj6ARGzu#zAA%m@9no_@SBchox`POYo=@na(>ttD*1EJl)5nXWyzfx0eJg}f3W@*xV71Y$i5MmKt|66K9wvT{YbEx9_0B36t2NarqzX-_9L8OB%K# zrhwj8`n^LjEO*vaF^6N*sCI)~v_rYkCdhvTtN(D@MuXnJG=tY%fx>;G{drlKtz0nS z5{`I@87K2;Cn%2MmZ;g2eDpygq6$o4Kf24^m0RB~vcP^3TIzkm@97?S=&O6(odsFA zgkWJqX`jSpP;}74#dM>&EcuZN+)eXls)h3pJ$OF2YR~5jZf`6x2p_KU8thJ2lu5pw zb-N=;+^o;cUZ`WR`;p?VS{ECioqm;l$=;_X`c(l+q*IL)B2sbGeJVPdFZjf|$8cgR znZ4ChbUHM4@+dcK@UQe?@g{Tk8MV&p$%{HPFbwiA3~@&%vAW~(CCV30aceQ=cck%c z2zHnm;CGvOv3!5cmCl3?-U65HNh~WLh1CXW(Xgb5Br$S&9;d zzGsHoIy1uc%>23w_^D*{nPl^nCCgcIu&*S$I?r#3K-=(ku+aBcH*F4cwZkP5Gzz*e zK}kLVj3yE5z-FF?OJ<{{>&%jyuRW*Oj0=-gFXn}Hgz<@Y52qm`AORx~2O}`B;UL;E zqQYCSwyOl++ucj&3Qo~0wdlmbmBZcM9T|lU?%v+fgk&)@#o|Br|4n7J&MZ23gi~z! z{hWGP`eeqkm_XEUfY^jW1#I|EBkc=ih8+0OlHOWhbF$umkHF6|2Xlb_#dSc=Pymao zr~;E{Sp!Ned5SKh{!slgSrC4)sIOig%`9GxaUm~^i!w4ot zDMdHkr_}ISE3epcEBn2eaV_RjQ!Oiv@3_@xPM^oqWtc-?AxxrMZ5ckcAQtRkvT-?N zu*h1mTIYG&v)@z8jmg|y)92u58x+xXr$X_^W>-398LYa0jx>jx%o%+!lB?tD%TIR_ zJC?--GKHRnrD`~j?Mc#Y(Hwf(J11xb7FUT>aQp6;sbS9W(Zr zyY3EE@H_TFIUVOt&`@(4u$*O5dJCm!J#((|+0>7O_p+}Qana_s8CdhT=;0ORwO3)c zb&(v>Dk)|-%4+7Z+AfpFohF7+F30%F^%i?a{cAtm&V-LUF=5k;t9c+>N(ypJ z;9W!elUrVl&$f#lK)2ls(Q72KujoM@i@k=UB~6_y#YCD@$h_ugDQjG)-zjWR;(Hw? zsXL9$cF6X9O?)&Hvr*b)Nk^9KVReue$Q{-Anp2HMmC*^W<5MCPK`kee``rv6|>9P$IsD#JLct zoVT^#-`$7?{|V(_k$D!Yu2lb0CDFsl=tW^XcuwEp^65wXfgItC)tgw{XML@>AkQlx zs?syu9n4ms(<8>(^o|e7%SYVJ^z_TkTFgeSg(xh`5$A<*%GM2H%Y*juOtCR>1f;T{ z8a~`bcYcD5@hjJZVKg>uA|ZR6?Vd#2;EyQ&d=6sSvIl=#8nu&XKxO|9Pd>*=vlY66 z$^Bl~K)IyVwA%H;^o!9jC=C%CY4f8>Db>1>BC#7tFRW4fcf3#WKG4u`y7*4qthfA`*0QH0YT6Vn+y2K@wq+H2W6>Mhrh zOm@ey{<-UFKmc@LVN9CQ0@)J=VGTy-6j?d*+2#gIR5l(cz^FDmjZlTWcVwAEDljz( zJn0;}rY&Yk$LQs!Lbm#BQ1P9??vwV}c5x3(tx@qb(Z=Yw&R}l`_Zf!(^#ZaU7q(6i z7}#u(+%qBWBMONSv4+8V5RGauc}d3vqGYGMC{idq7P`V!CGc52Z3W9V82q1tt4-)w z+-l?1kP?*fRyvng(|qqXoTZbH8aQk3f*IZv=<*g~c_8Wl-I}0MTZn3lFmHbJWQMr3 zbRmJm!fa$POjX}C)dI$nmzt{LT40@OIxZCcMiCe3Z0owSo_oX2sv&$M_Xd0$wQi(3 z%Ua+v{?A)-me573Io30Y zz1umS72a%PXXc1TXFxMxZ0QNsKH{knUeL1r5*t%h&047C|Iz zvkRVans5;56k(7+3tAPHkzIbhCk00shv#PKknT*^R!JqglkL#jkna}zttD=dV_WFY z1ed&1#D^tEtHkF%`W~7Bs7o;>p=74QxF=8%rzvl{C^S0Zj!PG%K3l)CewX(pYZFvN zSR;Aeapu{B%lD%)<>EHeqShh^?pQN=cUp^h_qabxOe;rx#kN7iq431P!#kwQaL~H{ z*@Cclt`~0N-rskdYFZhQV8K*QhZBs~(*@VWXJ~)aSWb^drNeyEO`^A&4$;$gv{mB8 zDtsqz4izKtuw+!u%vgn4>}A=E{3(Fo!z@Lk-n3K&QryBFnQ*zBqBAn*w7WWRVNAN< z_coOKSU{4`fjSY4@s`&Ld`1Bd;Mk)q*o4HI`O9F;I5^MEURu4K;sCpHv+q&*`#EJ| z`#UR+pq}@K=dY#$rC_?CMa#3pq^lAwh!BIzx$nRUdk>uH?s69!bm5W>wZq(tiOpG=(oyM)e%Bqcnj7{!fh}-Jmkx z2<{x$w{|2pIsqRmJe%V85Nx_qao>8Sefm;14k8{{GWMGn%{$kez34z5@3Pz_hdW>A z5jDYG(~R4obtbc^6ZSn6e!66u zh(rtZU`^PA^sg!zEl@8%DTq&yWNOf6y}JCULF3nZeBekhMnB&@AFZc~r>ip8J>+Xk z`stF-ibqGBM*=TDhC4P~NB_lZj=7tYuFmR^o?Qg(9sJq;y2%|LVeBp9ryIdT{`4Y| zFJJ#Dsej4W7Gn-^We>jcgo5sQtpIyA&q49GvqT}HbOEM^V6$}+X?7s`97UiZB@(a} z_JDY;*K&U@U%2iB2=O?*aakH0y|_W!WqfO}4l)s9S7!mu%IDW-^Jk6?vjOn>KBDqy zX!58dV9VOn0O`UYDX})%2&&ZxLgJtG9+`@0Ielu<(B%`3qV(MOs!@(+2i7F#%2J3o zP?r}r%3p7qDaK#WADnRQCq9Zd-&8;~^a$`2xTrP~pAeh$$R;nJn))5zFcX^HAbfU$ z9Q~tDtR;=3xZU1SG)V|PFKDIq)6TI46Vtsxw5h4BNeJOmF;Uyrvu*hE=NNBJkUOBK;^@G>*(v^>X@KnJ7JcB1O8EEyt10Rq$^LWMgu`y2c3K`X1>x$~84ua#VQ z^*o0t#3|P2c9FvuGVuryBvW6dPTpddBqnrAw*V~EP&W9|oIzJc$JySN*NP|MPyY(} z+IptmONm$bdq*Ft86w5{v=9kBsDMm}MXM$ImqF7mz|~fkPU*EGW#tz4Fmz^^9-m+J z)AqshxXj;kho~=4AF~J@KJ86*!cFdvRMc+?ldc@ot|OKGxcl1l8JB2xDcCYTYd1NF z=DMz~C_2&O4R;%C+bA7H+uV-1TzwlXH8Nozl`NOx>5bO^7*WP5ygn~sJ``nC$Cuee zoZm-Dqt4gd{ytsWAJK;%jW9DSOu8=_l?>VGB?*bu!II}D@JilOSLEE%{G zek|wD^3v}-t0E*V8$@$XSb+Et98(ioB@PP7>2wklD{LRZ4$gVUHAyBp- zV9nA3`e!JY<@vr?4>qkJ2M`;SsYusR{UbP{m9YMaeYkr}JFZ}I{a!%y$l~|+x*UJ1 zAS_nsn8&uxG~>Lcw`}FDh1L3R3I0og5LVhKZ&#r{6&9)$I5a;W3~MHq5DL{fMtT04 zs@F@S2tX)YL?;hBQFjKHL%ZV+sN`75q;^nMLi6X2Xw0)CRUWFzf@KiL)3q4j#y_iPZz7EosUBg2Px0( z5yi^2N*O!KQPryatg&b`m|X@ZV^WN-(R;0`Bczx|x^zX46m4$b*pq`ILTL;f?=I9! zYn35E=@dNf4N;R0@n){yHbOnxiIppQ#3rJK9DUT~2T4+4;~YiEC<@ICym4=coGjGY z;0nO5Iw?8Q|AmVnjH^rg)b*rW)eNji2tC&jx^VBdMF41iA{`kSQdlx`mI2Td1n#3NJS}2V+fwT@6qN%h40nn+cRsH>Z zki09u^#RtLHgl3u-$0FzPcBVWdb*LGE#+|R6L8XPf+8lzIJgJp<&qQ4O^h}`2`cuc z`5Udwv74Iq*@%9z2;sQqOG67#!Fijm7~KrYn)$jO0qUZt3Z=mTv59VhLQ!S=@;Rnl zvraBlRovs>Kfm=84c4MQc*JYdl^oImTng?5lzwg}<_fR*U2ns#2JmFNPYU1-1MrEm zM!A}COKV~wK~urZ?)6di4x(+Y?3TK7j(<&}qm!=bOGo<|Euqw* zwLdTG3(~b~svgg7WAp{9&lb}224C;2BHowFRZCtSv92LXNn*Otdl2a&I378<6<7<| zeT(Ba|MPk}RKruwiBP-Km)QAvyNhkDyRo05+ok?bu#KqG@r5=hVC=!=jo)4TkJpgh06eKXX@3SCz1&WU1q&%d` zS)+7rBbT9CrY0S_yD@Hzsan??g1G+p^uiq)JKd7d!xnD|gwsvL;bvmqvR*Os+=d5z zgY0OCha`%5G}t<>UJ7Nea}wR!-#z6hTCicDJuaVf9oO@uMva+7p8TQ9j`D;z6jD|svOd3;-W8>1-+c&QWytr#?YLuw2yA+l{XgWls*)NC)i=_{oJ8kb@AdE< zff&Sk&J8BK7nnkm{+fi70G4~rhn(uw&yjOM<8ibsTU6Y^IV22>FTTG5`xPy|My z{W7$AQ{kis;hE(AW=B652+mxzcCWgro-7G&gh!hp3)FU)N$JNUb+VefoiCS%{aj6x z!0SD=Ln!bj0-d>m!3~|D@m?=Z)|K6=J;yhBdH|_LJx(35)=EB}orp(DQ8-^C-6sIq zY69d#s z(HFY}IpPxs(44tT*ZSTPf;d_(kXVpEbpP9+>5Ke*(83PkN3$-jSCHcEyrHEu5GO4U z3tC8E-n$q5*Zo+PLJ7WkA#Sli^RN3+)NUt2M!OPGNOR`N=2W!#=JHfKy%l8*eMD6q zh#^|Le4dMR5^-MWZ<~K!0X>2#q!)&mQy`VmXML+t>A&xj zVH)-uJEA4}ryaOpEra&X*4d`c)yqI^Qe;Y3)a`9@EIj(AVEk3b9YuIs%AC=|uIni{ z#UPPKl~9afFXNa)q|%|-Lh2%yFIccV>6#{n2YUl$Be@nEjy8viuGUG|-wRznT`Deh z9vo@k+J04E?{-G(fmDjfVWB+%tY*xF{h(Pvf85%yXft~={rL;{(OGE(fL8#Uo!h|% zV!fGfli8(WT7BkL9(~1^ZN$8qkVm$qTZzvtPgyVA>`izoVWY}0C}LKB!e)GR$O%#L zgndY5L}zMl<;QAmyU2-4LTZS2mL9X%R_+Vvw#b7x^&NYn@S{$~Tx3P+nvbKG#B+=D z!BMo|Ic9%V*B_cR!-ZyY7ePq4a;;xKmC!3K%KNW6Trxg$n}(0wpiB)+hZ#NA(xR$n zQv>ph74R)!RS8Wvjjp59^FQ$&UMkgqqbd)e3bH&MUDX9D>$)8;dfCLlg2`-jTC0E} z@MhNb`I_G{Q20fJ*0l}sj_I>ySbP4Hlk4mKS8zDdUIkQq%mC}9wX(#%!q5rVwM)1r z;?D+Kj*I-bVvi2H@#Ckf!w1hmE2sMD>xS_xC{GCo3<{Wh{-+kegh8*Fy|%-UZasAQ z2lo_E_HJK2A6Fcj@tfN{sp_9bk1H0kurauV1Ht9VrJm9Vf-an-N-yDDRWxwkreV7cZcK%!j)_vlUiIrC16Hh}Zqr;GPEE=~N=BP}Wppj&zO zUtiAWm$?z_1iNOg&8L`ysxv3>8zX{f1@%_I{*gf!_q>p4Z#UUh07@29{k&8z+S}{I z{FXAmOCt*z7o*Xl5KU^&V2nnyw$nG>Nz7-ZjmX>zT9_IFplL~;w?~0BU5V2Z2$?vC znrL#C0|7ZOi4~o)zK&CFwpj~8kEm=9Hab*n1w-(-X@;$y`92M?v~W-x{cjah#h-7a zT*zXacY?O7Zl(8#wSN&`&!CGItrJ===f{SG6Q*h)?D4e3Oxi!$QVD<$TZzecfZrg1 z&tH08f0?*pFcEdfdQDV5yn}+Bu#`VLreA*=V4pBBa^9dhCyaitLmo^k*gh{+0Z9G4 zO%Kvhq(Ydf)Y%9goT#vMQN$-)hvzjScicxbW ze}1Wpf+NTaqGuVKN0~_y#|z=$2SX7e8%gQcW6TK;T&S((o}tUYi8G(=1koJk^uS~#kG-=4tRon=7gRp0VZO310cI9suw$n#_7nH{wSvs9X>8n?^$Mmb>*08+s zOjy~vwpj(aBK5%7tgq=6<0(P=;;pB{giiT0)LP z`#EpLt9wlENKL+}Pdn8e%PZ+tsFkSNT_@BozHxqk_rrL-;;7^dR%uEAZfwi!szKkVi!?1VkG+HholWP?0xm z$ocYK&pRrfN{UFp6+ov|?wP}-KD+Glw_0pn9*Plm&910eyNDvg<5PMVc>`Q{H4GVM zX+gl8;MLZ@8Fg<+Whv-}tA&(yG8OPqA!%(k)bCQPxa8=wtY z>(#KMH5@F29Se$%7=@*8R=aQqO?IR&;%~5aH~ANSyAMb77(h}ng8JvdF{is00}U-|8d27c_dSnp&07nv3tAQ zNAt;xd5N@M`=AY)c#@m5sPW1)^p1Gd3GY(U%FVST2lR~dPp^sNv+;z;c%5(CAW2KQ zIIPO==?(3AKTiGIexIh&B-mKk(WGx8`GRj>-@M}`r`VQe+Yu(GJcJ4?8Xca}^Ji^Z za6L01+bm!%x@2l8d2bngjl*2@wG*aObc44>-jV-Fh?Eyu$+~^OH6NY3mG}W+Zymn+ zCGtqpW`Q;7NI!1==BnU+&Vgm6%Z0dslMqiU;D{JC4!idCO4FH@h64MJl+;(fsZog#}L}^0vgyGgm3P2 z)zf>U0o&+ncIFkrGX}FiJf;L+EBafJ^;S#S>|wKDpkC{EBu===OzdFPgi~x4O)OGv z1yzPnZI1cf_ktE&(+6zrD9z)G@*UsCXHg2Q<;+ybjV3s84wV1&O6xnia`YP8h`z+t z&Icq&)e31HgyMAO1sHK_hGR+%FS$Qt=>iX_#_aWX`S~r?(PuB@m6Ph;AD9B>ek=GQ z#GeEJ^7m@i#>_>9wQFxUz41QR$X6}^%N`FARdIMT{x!&b5K-{_4O6TWg zM)$Hh4j8(fByq!YnoLjG>XfPUE`W}&J)cUdp7L{f0QgTMxozveCU$Nlwbb+vEHiUT+V)+ZW=^lqT&Zu>)8_%i^etC^6#v z3oc&<+&>*%Z?(q*#4@h9U4%_k)}%eJ5;yO$3RMUSz00uTlHFHwewl!JE?`le zl(}D+#nk8tv)+9IZegSxEOm401zZq8xvrZAa71|-ci6KKBJ3i^W!VV%S{U;t7k%-_+YKZ@cjPTj*DQEfUa12-o2@xT`>WT13_sUVVAj~ zcejr^^{UIs1QVj;I{?0O=>$uj70t?HaPQ>@)SMt9C$R}>m!C{uocgG{wQU`6v!*dg zjoYAOf0b<7KQ=r48&kaP8D}3Fm7WEt__e{@iB2r}`RO>V%k>;dBLI(=f&{QjD^UDe z0rwnfC@WnKe1=Zjk}lcWvw1@oua7<2`J6=^g6ZqixMe2k4Y#KDNtm9jbU*aTnJ*9= z-uY9L*PnCF&$R-mZ!AKnQGcx2GA}f56()N(f*30oS~Pm!yn?^ERN>5k-G)}^0+x^- zmK{NSS!`>7qg^OZ6#q~uogz!BH?h^SMDAwt)yrajS*F^a^HMw0skcCNx0O)O=+I{+4b zMShm*gcOOezN+kHoh_(WwE66B8yEkor=2NHt%MOQCKQ8{T0Ei$Kl_@&MeCh!T;KU^ z@H4XRhdu^l0njmzY&PA^|K(VrdD7y^9vaf}R_HP7sY~4(4P-6L9)S3TOUPo2hS&qH zE_PHW>;^E2y3SoP%1;8#MXh^ToB%>%;a4OQY)w7J^14WQh=M`r(fguNnkl`3!x+LB z9a;E`sV(-_(6pfZ)qN(bc6@C)***OfeoV~{hD9O={t~cSq(Y7WSfCxL(_?j-oCdgn zg1hjSavX0uKde%tX4hZpicUjGU$Es(RN>sDzN_Sq45}c5>&mOy+mb#mNg4??XR{=* ziL^asUA5NF3w2KmfuB@ziX6+%2erGue)5;jhS;ysz@<;ied01}OeS?Ot?dWt4@MgM zu&@lJkC$^xmTFf*i`nnNdp#1QLRy=L8ZD1Cse5s*l>5X$&jKhm+anpHt(1Cg9n4Gq zs5XGThTCc3hplsCq3Xy(CN(|HFjMs`_q?IAdM8csV|UVH{1RzbOJtuNxh4Q!P*i0GbJLd0xD>wAKhew@{zi0F3nbKx$lj;&icB*eqIi%2; zz%kxU9{@LM(t}m7c=`evBqe4)X$aA{{rpkf0d@-|H(KTaILarvzvJ|w9a@(wdOxgE z>kr*y{0Yle&>B;~2O&jDODhmt+Ozn-!Mo^{>=%95@;=;p8(l7_rQw!K{w(MEyYe|t zFqe8Zhd5Qt0lVhs*v7cnO6%E@`d$W3aeKxJP)QLXYu@ZXmYJ*A2UQ=@-&u?Le+&G4 z@0EVO*CHc+J;Sr^y)?SiXDjo8ea!#Fe5v1dWYMs&u(bI~Ha`8BE8a1#$!(!Jd!pZGt>lqGVq9GlK?6_F+oH0;MK_1!f<;9-a(eM{;lraPGJXnh78%{;oxKea6$8_ET##F-NhJ`^KvbZMWeW03$FZ7%XdzX69^@ zUN3d6{87}RfJvi%3EN|Atb~_GR}o;5d6<(ui;f+Nl{x-7CS@Y~7ahP{9_|6ugYj`z zZF5fy3xP?QU|p0f%2l-Gy2soc_Kj4Qt1+hMd_vfKc-BA&DMx=36zYU@F%!hP@R!(=Pszn@F> zky2&7A>2ezxYN*|2nOJtW83AMkOSj=a}? z3E&iRY8}BmnzP(0BEP@-`DGTBtWrN#w=iK3@VO8WJ-W=ck9CsSj05W+nbO{m=9>_L4U171D1UyHIMdWMuqPrJ0ZiCp995P9C0DcxuBn zFjmg`!Q7S|;%GxzhwNM#WRw2Kk1BpO3viIN2pzmn<=aoC#%Ko^2!2@0KHMtbU(li+ z9XWB~?JN@rX>}m{H+KAF7{p7#$MjadY?1_pXK~8($+^Cyplbz!;<*Z1tsukS(A+#~ zTs#$}9|xKc@z{G>{#Y7qV{b^+OD+%wXE7#au=fiq@{WJ}2%?;L9x^te zWA{mY`>EBU6Tljq57J{*Pfe=Ho|;b>8Lu8VPi>q4D;W!T%gcjNfbr=5@u7~Q5U0p- z$9lYYTL1_#Qw z6CU#+Z4fh>Ltmk;((J<*YW*1C-aPAn?#}AT0u$8`bD?D*;DC9BQ7{!j7XuFrc%l%g zt2nNYrMS%(lWOs>GKa-DZM9ZNSqN={*Io`&rPwl~4aiP0Ey$zD_}+hn9NYp7e06vM ze7dw}H6k5ECj`c6=xB#FJ$Tmst{M-ZDH!r-pf zuh*YTv2BPnMSL?Eg%4t?nsmc7?T)EoZ5Ez<;BSHl;lQioaO~*S2e5ubof!b*sw5c92DaS?Z%9fgnL65!-48Ri;>uC?qE5i-2mkT5Y{qJuN zfyGtWzwDl;HAe+VelK`^O*5{!Env4!KC_Oc?ZlzbyXd6>3lsn z2+lluqUNtSq!0L7kb^#6EiiAo0CZa&D_kf-QVJJ^$)Bk0zs3v`u01TlS`jW?zrimb zUhfQpqTJx1GGU~F?RnDMQ`iwfbiOphw`eXNX-D$hiv8UW-hb0X`F9OOxOdj17yP(O zUnbH0yV~481xf!Y4|6x|z`;*^^e*cc|M`=@>Dc^_J}F}<$zd{0^z4ws-(}bS3=Wo?*sGSk^A2>Q|iBS?myPre^={&>{9>TO8#e; z{_D|yx03&ECI3D6|F$Y%L6pc(s1$enL+z|n%vXuYOk!*HDwN#EV}OwnYaXRrk3d;K zNx3SS8Y=UApfgj|wE&5H+m!%z({fj$HMPOx+G*kmn}1h3Bl}F9B5?t-42XDq;w?MvR7Om07Mwa;IqSH@2_hS`(*?mQW<~=bni)%KuDPu&=PYG$Sa@EnTGmt zb9~e^CE_Fs5^hqbYeBMQF2SgT@hp@c0B7O^g}@_I>(CBp-IgFddhXhfuC$kUC?zXH z?`&mSXZaiSlX#&;jJqh|`Q+4F=P4fGN+0$81U4;kNE!9F_kg2PZuL_X6^Lk8%mzSk zF3t;(rPMj4e+44ehEKO1w9s9i_v5fMoD)=M$h*f$x1i3T)Zk#jMXUJqfQcEM>iUs` zhjSQ#7t3%sKZ?AV9@wPr&|wLB=I;=ur|$(^TlWCY4GUH;UjY3M(_U&FZG#r_ z^$oM3rJCR0kEivQIz039kKG5=0AA>?q|J?0Rk(ws6}jcg-(qIpJBPCn{!GOvb>ZxrFUW=z{ZvnA7s_lHU8UP8?+*8hs2O_I%X@9DzAlb&x+or5 zK4cM3YDOz^{*|!0;rNg81x!LRPt|>(sQhC)OYuB7?>7}+DC4(Wq zMV&E~fNbE@fu-KGdWFF3@-S7-Y;VJNFS$Y;FY8u{k5TfAKKeSE&?rQh*gO&tOi1i6LlW z3yIp}r=nV_xi;FCYW7i7jLzvu-7^7Hi!z`*=3abm2Mv?R&+dYxx96Cc*98gBGK89_ zZQgwNpW^{5e6Qxfn)I7nG%)rV-&l%6$Qa+s9@IOP@hb~i>~FK4l29EwO2J37 z9r#=-jXY~XRY%Vv*4!YR4eUC%muSWP4P$!s)JEf}j~p!>VJ~hq#S&1WD?qG_g{DX5 zXutEf-x=_vpemmck$;Ro;aBs7281B)l-??pOFezp$RH zdSw*MS>2+*Iau)leZxYWkr~x**3*T&HwwRkG(>K<*ZXxhNYAfVSGgBYr8z9?v1X$? z9fOU(x$Z*C(m(uJ2PCFWDg_U}BdVzecCcT$sdOZk0Vtcc)WSJk$H@H)zp!H*$)1P8 zI^6kJ2Ar>BOFg`m6Gck<7(BD4@j^i1PO~BVmp#QJ4BR|ZXbXK|!fR$xPFuHns(O9E zF5=V}*g4abq*G3l&YG5-4q@E}<<b3RWNlzt8Y$Yujvylto!pEYWo|&bjDuxA z3JQfxWEQ1XJ@xD$9#JcRAfYofGgaIdd;n@_0nCMIV6*Tf`|P=&GKhh?wi2M{o;l3* zo?C!6X*5m+&(It81AxK&nPCWLZ(IyS_c)h+-OLeozmKt4U5++z%CsBv z-nL8o>bvfe9;tm3Q0hgxzyxVKLTjsba|!9WDluhwE@C5 zaW_-jf6IV%F2)#Y$i&BGuU1A~T+0%0$1pV&*dBS?ZNnZ8%k*S21muKxBx8TRXwDkgKm{%3l)89l90qo4Z4+Y$g!H-&9I|henm0AZs zstMG9x`lw5A5Z842aBXDxGz8P}l7AS?G&kcYZ~@*~Z7UF|4DVbtHgCp?wF2)J zcYVVPRK0E*`|Oskh&nP4_j|^|)+D)(T@Wpy!NBnn-q%@;>pU&tYT)$g8+==a#4 zK*hI+0x|w2o+f@)&jP2?i_b>Or< zbZ(YS%+*1Xz-e>#hNTJ%(?5itrA8qVXszi=-qwG!^}vBAL*l;sQ?qw(#y_Z?jG ze#%(<0M9rYHo^hH489B)wR$nkk8>d3%JMbm)G+1*ug^ANJV7w2&!Z*SMyrGrb3iA* zl(A&=SUm;B3&~Wfl4IiyURsJ`I?Gxa->2g%MkM!sQ4Z)l%&Y>ez{S#6&4$d2Xo8ky zz3cV3Hnxo*m~`hO$CiplJ*O?yyU+xgY{7k@?R2j#AmlGsSMZZO2Z0jLyj?Z(Cf79t zQ1PhCb%uE7^HGAGMc&f#X0}Wo7oOyKzL)nV>vJq&sE7`<(!3(hJUl4R zL070~)=ZNL`On>b4vdu7hz-+2(r9~`KC4zKRCLxa0XqebX^B29o&H&da)k*G>!CaJ z+XS;R;iVwwKP4PdzX(SUT4}TmPWv<>@q?jEQ+kG@@5O|S#`s>c_*J+v3S3Phm?B}9 zsKwszc_q#4!MO}5ODw2$MTp#b+kaHPJ$1l84&uV=7H8TfNTIC9=mqW|i4mh%O{D3gTr;u%nHU{Yl?U)U2L*6sL$WrvaR*$IM8x2SQ9 zKzpXWr>;oBWHr0(lE{oAIs+;-X!tIY++nIC-<}O(G+&cgA1ie}r z7dr<-mKxC-)snro3dB=kKkNk|Q9Y!C;@QQ9v|`h|r~mOre@9A+**aJ4O*uGv1*=60R`>ocP)qPyRVkn~K4wOCNXPv}(bD|XFL6DJI8vKUfj=0TN zg;JUIP7O!~)*bXcQ|r|6wlSm?B$$9NkWUi4AR`jFd#a3&T^LYs_&VzPu87-bFMjtJ ze5TZSi=o^Bf`gysUkqpQNa`6mtg0Bkd91??LO#1 zdMc}P$xOF>^WFS*KGIQ@+phemlbP_yv9q!J?i4$utxY-OqJK(j-rzSJtNidlygS_` zfdp!w$aoFBx9-U5=HYj(Ik^RKoqYvY{!zz0D1<5~w(%qE4D*-gg09~6eYb0}WK2F6 zRLM|%KUsnlY9NWQv-%Leoqzq5=EVeFGg$(*qNytT!ibdik88p`3eSolI4>6ZEn$zY z(q%zflM4UJLWZq&P0{af=H~c4`d9YBEEC-(>~ogJpfo?AzTu5gEu8*}(5@wpt^w=) zldJGhtgXQjl*~2|p3_{6eh;IIDX_tV%y<|@-adAzpNRG?%I7F;VcQ^JU$76{v`@0H znH^^F-4fp#nlMl~Y)HmUsjhJJ*v2ptw}_~qoE^+&jOW~7GvK0l@^a5y|BpE$pbYiB zBWR|7;^=g-z2N!wn_im9JsZB*NsG>sxF3|Kuv0rUG^|JhyQ`#ts`OK`7K6P%u#HUS zYbysA#Z9L=8h1cxRK3`?zXAq-i!eAtLJ69Tex#dxE$DeSdG1+O zjn`=seHy*txY6<4%h?}cRY#;q^gYR+HpIc*?KUElL(1k15~1tnkfAhXun#InKB&v0 zU5&U@%D8e{-*6Pn4BaypPJ`0_V?UIAiSyg5YFmEJ5%w1?PlEMmd3>(9o2Zm!-xOOu zf{4ECq<9_UB+xAn-J)mZ=j649Z_-|MTeJ?k5FAmHWWQ1;R`{JBxSb$ZO}Do3L6-bv z2LZPsiioffs@-$S4!=5tSZ(bNb$mrMfr4}Fn4v3-ZuvI;12p-#pWzA&jL!rR1vm71sFz{DdkR8 zq6_Z1`QB8#MSyAsTYT7H4LazbZCd9m=c1mJ54%(1CKK(k{i{=JhyQN*uAfVm5K(`= zYhv2utvwg|hz4@Fxz#LUAyX3t#zC;DgkMvK#n$v|=P3s{h zVG2T}OIvP_bph{Iz5NF2elG~zoZhEuqs*q|85+4AKt6|Qg_4u0vVw%WAibF2qHg+$ zCn2ktn5tH2RP)Bdmc>q6Os325ER;qT2A&mBD6uxIod7o^_jitO-mqMbv8kkF0kwD~ zOX>1rL~#FB{=V$QRT~x>MI0>lHUgugo!u6?Sa=>j?1?~$V(slel`2(0rq@8Asbu2uiLtPUuA6-=iqQsST|z>y^Xm3*5!ehZC;$Y-eESHPU`$`K}Hk z!J`E1hbQ(|yZ*-d0v;e`>Ry$CQ#ZLKEz4Zc`>gjKS2ybBl8li;$xB7bBK;2Q0TWik zsVD+jdgdfhwK;$LJ`0t3Q;XCQ`6Q5@Oo5EHBi<;Vx*$qz(l44x;ak-k2VB+nGYXtz zaTgTVG>_GAh*+R8+S%z^&kHo@Sj)_EDrx!Q@x>Pp2i=;sPF?it7VU6vw842SFC|2a zb-MG$@A1Chau2<4IWIycHc?iwX0OggcI@u;$QB4tJo@J)Fb(cdev@79fCl1Nuub$yPAq`LB@Iy$c6qv#Dy;kC)IaD^`FSuu$syDZz z=OB|GaZlKHZZ1XR4I}G1Mo;ZicDMl83v_aKaOhA>iRDGjV}{m{vFNUJGcNN}ZkUQ` zWp=|M(mRDysxarhhi12=HV#ex*N%A&;v zky8u7Ar$RMllf2ZE&z}Ne@E`g10#2u8*@Q7Y0S{n4)mWMvOI}?TcMs!-Tom}g0B2a zkwMz=Zw*#yOsbnOQbSKk%IpblQy^I?qgx!zOEkjNMRQ z+R1X2nuk0L>}!K6rmBv=Pev;qc#V3*lDo-=v3MNdW{;p&Zn!#jZZ0V0UKa;am5d1D z4{;r1{6kmz@)+y4J0!ROzeNl&4*bwD0OoNl>-QL%p2_AJt-lSjb3Kvlg$}&DtcGl4 z-q}dwv1*Y3($Q_x;QU!y@Cei|1a-hM>UOjxfpS_gbP$JTkk&BHZGsYz(~@%EadM8r zsQ}vQgUB2KOR)S&zf&=ku&JsyDR(Hd@~IG!8~(U}-&>l3e(8pu0auet*UH%EHb4o_ zJ>iNIGhC+m(p3=+iqrsIsO{PqZ1YStq@CPEbshS-Jv{AI*ygQjDzd*3Fe3oF+87Ye zqcYU2ZL(c|K{a(!&m)&+7HqDkL#=n9GXFBLfOtowpZ$Uunh?xw%6}kYQeJ?9X)QzX z_GD0vrPU)vB4+vY*4Yi|+H>$9l`F%2KusquC~T4*Cbf~03Wx;JOuYf9eKq^z)KruS z^!)kkj9Qb5J?0Oxf9|R3)3F-ZWM?GkW^?Gc>FegFFVRORhj5m>;%}*UKA%Y0{~8RW z9_==$Ln$O>b0ft(;vlq;{vq!0PO;pG9 z!<-WlGkiCyO!L9fs`K5SZ;N9h8Gkt2ufYkr6lX_q zgbttl1r+Ov^VbB683NKFrnRF#V+s-}0Yx^GcfjdsRI1sM9`lAE3}Cx?KD295*_~|UA9G-&a^QJi_215> z#wle}(^dg)CUiqE_^&P1{P_+@jGh%0zvcFZNg(;G$pu$H&DU(C5BN^jj4 zl>6+x#P*g*03ShZaYIc!>PaB~hm1;CVXIi}=3=x>gY;QI4u z*&{Q-R`|Jskf)wo1jejSvH7@9-tbTo*BDI4kw`^mfC*C#RaeHrknVv!rhe!VbScZ{H;f3*=y)wxCSGNTIheM2Fo^D0;=c4{1!~{ zM<=LW#Bv;)lLr&$N81ur4q37|gC_GCy@K8>L;wAa5%LonQ-=Aw8VADtk0aiA7YhHSTswDR1ZFcxJ^?`tUNqB^z^ z#_liCbjlo~|8jzBJFizvifFdpbZWbjwwkCa<&XNPq=7%k!` z57mI-l1nWC(r#udRiYvwMPlYAuZr4(M$Tw*vAxv{OStGB*m{<8p$ri0bqh z=rbdQbt7lM^G$=HRsZG-+X9u|rJLBkN3w?R=e(cr*GJ2vhNtxlX|r<45*;2l%wDPl zL7D{=u(q2H8qh^Uf;H`v^SelYYM)ksvN@bbei*7W(X^!m&5sh0a*}3iYx@1jA^aih zu@awu4wrI)U2)1rU|D>l&PsAF$PWr|zxaAlr1YkZIxdlQ_ZjW;S&{YyHaHN%KOx~T zkl=3ES)PmefWxk_k+r%61%YwmIPR-~bw;F5ZujCk;;`u-?RmB5GkrIeG(;E2`e$W(xPh|CU4{jCl8cqY>eK3 z*$?7d0#)X5SdBVmH_G@yFP?-YN1|lLAHX;xqA?iM=Xr4obp7_db&~Soq^Y~Ql_-W# zoU5|mCVO`(-Z4(FS10XfiSv1MZzbA?=I1a>&zNwKcdu0bIn&(ycNRe6EyV6aX3it_ zUicrJ!ZWE@*xy=6*Ep4Zza5F-kKHvn`NCJhmuK|y+*znOnUI=O(c0iJ$#ayqT|Ym_ zKTikv?eE6IrPrqBcjD6SzdcDf8V~VkA*&B_uaZ>=;1h6H?0*V?Y}3T22-0(U(W!

    p zNnAo#uQZw50y#jCVEUXp)Hi zaVp2L5MJ%!GbJX@Wu1Uq&A`tX1sEi}st0?v^MEf_b3Qv=Z_w@qV%N<8@*x_aa7j)S zW1W_@XV;cyz`+jjB>7^D>%kQ3F`*hb5543+7^XBR?D^}aBXNa&=f^sc0homW5ZD<2 z^!r}}P;S(&;`Q4Aq_ukQ3E2GC0N5e}@ITl3H2~$sz4!8t!`|>~;whOb3Qc;$pT9V~ zJNv41Vmh&W1JR25b076mKyJ;61@XR(zzDixN7cl;U9TMfn7-^=Ia{dI<^|Ba4^b&d zd;lcj*Lh;bpHJeS3AiuvjiPC7%r{gm+MS7?`ghyCOq>NET&WtwMa1#GCnwW zviPG3CUq)2TF;$=w-^)JYfdC}IANEq3&k~El3<5q&##Y(m=YexViQgkKx`PI;Dx7! z=^j9)dya0@WXkw%QG&l;`)T2UoIpVW|Dv_pn`d~;0v27t9HZK9qM|F;#9OSVHcS98okZ4%Q{ukKxO;}!b#!c&eK0FHo=K)!y=aQ?H5YWt>`VjeB8k#UQa#o zU{^<;p@H$~yc_ls_l`m|~t^>lJ1-QU0432E+I$cqs zqGA+$0nD+~h_72#JFC&w%~!8VIs`NLjoi1htNswWagg)H9ry0V*a|uugY?0unJH8> zVq*S~>B+QQ2yOk_jFMA>JH&K2{5HCTTe#iX1Vi+ABkdmoZNL7Hk~_xQo{wC^Fl_5?s)&851Qlh(^%VuMW2YqC9=rfxrthHxkJ?(`)J#k87#3tjWFUlZjAia&w(g>YvlAVU>&n~^L8VHZ z_eD-?jBNo+BZ%2)1+1|k?lfaSJ&gp-1h-19g0~zFM3;>b|6iM|n^mmmBens2)?b_K zI&895@4HQO>Ke#>umTq?kv%&hA{t40?i`gL#oA8)_4uJj20tBr-)#wDO8t*xiC1^V zvqI-tAM)$aZK z%eY?!Te>G5kH3R`y8(Ah(DDa<7D&-hEp+Rdrfp4~iiRXa0Zx}2_cbW7Eg-?aIb`3| z0RSx2r!xELIP9ySa+V3vZ8mN;PW5Tw8CpF2y#sJfo2N1oc@do>;R&+!&bltRcBDT_ zI&1J>TehTm`1Nbm@PiyzvtzwxD$Pzzj*^n?!FrI>o#s}bo+eJ1^bmJeMn?qYHG1T?NJ>1_ZkYvv*&z8r`Z-HWcxwbv)CEJiHT{OWag)8lH@Q! z%s^L6pb7fG{xZ&2^aY62Z~q{oTV-KL3ABLk5=%>j4Ep6*+X@9ZJZalxwnOZC4}5w~ zaN9BZcKI1NPX#9Gcw%!9w@xg6PoRkF+$Zhh&ZonCq>o~BEs8Ni5YswA%PINQ&a}|! z$W!ympZ5FrK2z{Y@yjcDnE4#bhOU2YG-}PtNM8AlLgCk*wGdUk!a1KTK zUytjQ)04w0qVPYvU-w6UMZG4tR7BfH?42}_k-aw=*&|MFCz1b=hA^u4_k}#x}{N#{j4kLYv(_vXmagXw|qjBrPQCMNLIsVk3n0Fu0(p~;YpqHVaro<(FPZmvW# z#A%#c9c{2W-2RN$tV5h?QZWJ@-m9)mK?b)={}^cI=Hp)#voNOF;hRRKV6*d*+pRLL zb~YWM@+^?*aTgTA>T_Fx1L*#BMRcEfuAUFL#pzwnR8ttBsYx&R^6AMic5V0$An@4) zpaCusu+oMp(1`VF0Q%Jy;caj_T5!R`h(XlJ4ZlN6&bRDqMjf?UO$CCuI;?SRGi=_R z#&T7Nla*X|S;<&+tmV%pyKBt*LT%3SLAFH$$+hTRBW3 z8_IBkwB{P(8p9O|c84nWb7#0B_ny_;NA&G=8D*dGK<SL^hhffH6K@Eg0BeGwNcV*55qq+XvI?Ynd~GzI{G&7=J(Dad^NlZ+hz+?{ep>1a9nl6jHBCRNI-n z|15=U)qb4;%aEH6FV$Wbf8X^UpHBxUTnDc?01a}fR?)IG7eG~%uuNSb1Qx)9KXYcO6ZLl?p zMo}RSC2%SF*7cSzI6 zlrtiH_h2;9*Vel3CT`N-oAoo4`P!+v{3-pzN_Yn6ZlKmMR_P4)f7ng@U9`dGR$RgT zjSaPvEOCzFcaW=8{J*`*t0m_QD$gHlH39*w)M(LIJuHM_`S6+R#d>JwPM`dn9O)kH zJtal<%SOGWHW?k@)){oUTU|QD_LckSdG|XI^XA>Ty*u*>i_I%*SiyaT3BT{TTixc< zn~s(6%wP9>|4!OwwDZQKILoQA8#HpUa@puRF#=>&;LMPOP$^pMPv25#s`g_5as~?_ zHgV7zv9kdgS-sv|eK?@JAb0#}NF#lnVw*Hqwg7AQb~6gyFFclZOZ^oyMdF;h(TN|5 zI0s5L{9Y6iiXbxAs4<`@qE~!X2 zzgj#h&tvQ+w_@dR@&nm=ghDbRL6K)E0eswQtuC)D4PZG9Db=oY&)*JHRD7dMiwJi- z+ST8_Oo-P*ma}Uj+FkR%kg(hQ3}w)-c}gsV-tYPY6rYi2r5VN#-Pnqo46E3&w;Lrt zc>3q_m1P%IYquAs$u=)F;BlMIG#c@0EM zHA4Xe6N0H_ygBfmK&x{d1gtY=8_+YcJ(lXFjU=8WKngWJK9}lX!q1<3c|80>BpLg! zfD5fh=bt8wv%9?|$RYxf9Mca5?G21Kz469|gg&jd{QF%qD)nER?alW~zeex$)Mypm z&(TxQZ4RQ~!Q)8FIpRh@)&rah`p~=XT$d~v_LWVP1&Hm{Dz+9ST#Ay95h2|!s7W~8 z7D5t^4}uJ)i_(vs?QMPN3Gi~=UHNj#=DwrYCh9+(YPyuhFb#5cBnoWqw5QR6z=#iv zliwvZdUD!qxdV?*>c;Nf-6!FU%(KSg{I!0?QyRkRMSc!_$g~&HjSyq+ceL8Fg6IuG zqGKB=0^4F;*;>?gPoUMQ4q{x^jdUI09}+8D#}H9o)_YoX0h;OqKz^}7>nIyA(TRfW zIBGotGK#`3VK~_0w7Ux`kL-BlIqrj}f5mcjhF15Leh#En!I@eLh}r#IUp7;x8^8wV zyLv+`ka%~Mgn1r8UyO47oquVYv`n@<_VW?P?BhII#`vGW}i*#p%cmeAc}7y9iKhpRPt3f_uV|khZn76;%VpM6d==(E{knHAQIP0auKf*Tpn}cabPu#$k zEb6_n=s$a6ccbL0{eVFGpey-nQH)7S#)22q^IXYwnzWo}3diU8m!cdd!LUH3= zL!-DZR>Teu+z+A9ZtSbGNO?Eab&^x<0e>#lPgjBS`T13F6%zT;w`dN!NwAg(!{amX zFy=l1lXq(lBF`7xz$STTDh(BP)BFCwys62T(gH*nIW2|KCiKqigAVE2+2`7xr(}b& zM-VjIu$mUP4?Dj;mc#PX+!g*e$-t()@iRTZW@lkJ91gbt35KloKx#OFqz|^o2q?5d z5{<|BiCl>I&yAFJolC|N>vtY5AaMM17K{McRg~W`pRMxu*vTLaI zmrGNf%=fN4Rha=(l2oHmXogjbL@Y!YmeZL<^+l-d*$z_oLEHJe-V9WnCZPi`A#K2& zXU36@cmC||y>c9*lvcg`XD88Bj|uCa)80+`^(q`bDRKbv|2f~+Z@vY$g}D&xLMZ7^ zQx^69ENRytW1&)gekAvovH18bJ#TiX^5ctF4A|G*pij&0`8!o&WuTu&*ukx(Z#e1Z zJenU&vpfHcuhSie5X2|=Ulka4i-Ud+B0Q6(_4;_kLqOa&)h`pp z@(vu_-7q+0EZ=CiH&>gBzkIkAWo8ZH6Z8S;rB{C2uCOe<2vdjg&tYjg`BLbxrM6#2 zmd$A?ys?nVNpS_~zFGCKov!?ZKHB&eavvIApVO=aLVJ@)igr`KSM<#=RyeC3Uflt| z%|%tgWopAbQ{+*S-E!Tme3n+9%Z#_`p|7N`$Cd2b*i1ff^wS&c zc$H&0y@e&z`EvT_PszW(-w)bXp}~Sz{*SeagV;<$Q2P*16{-KH*zxZ_1tkyi;N81% z3}~_cXSwI^dv4;yQ2Zb*Y{n}9$m&;rx&&J`yB|3+#o zCR{o@R??jK|F|ezEnw}u4BTO;1T;V$l)m(!h;kX&g^j5^fv+F{k$iz_(!o}%LpLD{ zsShz~E-zb?HXX;-2fgk6ZnGpMm9^Wd_apJzym^6Oh)g{;_m zzdIq)r3qCw)g`e{P?k^uVQ2CI4dY&G`vPg%;U_m@+%GOzQ$BHJlSNgOOC%;s^{=F< zq|&%S&8wx5IhCKW-qsDGzlT~n_{gL}1mbv~_2g9s0(^6U6IeRrZYQw7k_es^S0OML zP=4KcEBPK?&*lp6r#j|K&xjiBfK{X3IJ^9Q!DB?P8sxjG<|*GOWk(|rfHVejxI5-~ z)Q<|uu*)J#KJUTLQAT>O8-R|C31L|eWow_*zb@u>+RDacJi-KkALk$6>CVkoetULE z??nw1p$e{mrk9M;^h4l(+_9G<1agQVAc|N|83Hy8P*3a8k}(p(KzgC7(6s+2`TwhK zZKo4r?EbgGg|)Kn!;P;|o#}a-Fj4TH5aQcckpFkc@F}0N5j7)u7b~Et4E)bU;XTGM zUBc6qgr~1PMD(}pkdIttTkCiP>8XnOFzt&qXEx+%oKi&qdh z3sFWelmSwB&Mtk@LYco?s3P39UnpEZO{v@>9f;%^5sz!Sqy(sM5cPpH%magNn{JJe zDVinet@3#%nPllGCM1a?rxic-a?%r@bTr&J>wA1+dAKwii-qDo^Xe9gHD)hx;^G;3 zY3!@Y`#LBoaHdKF7|Zb;5e4BOdFfXO)&~N15#AE#r3C6ag#8m>1(>{al;=E@rHoF< zXh`!+1WND(p@AFqPC%28(~S|xgf2dJ0*2OP8zOsNP+_NmX~rlbY*8m;d@n^syWBXw z|Bg;zjX4UOVAW(yiR1$A5_tjaBh8}Oc5T$1Q%+NmiLlQVltodb*E1;9Ha|wMocZZQ0$V zoFsKZ%t*n-NvY^-`KpkdM>hT|G{^#$kNV#v5}WOgqm2P+Ayo^h6s2kGe=t>NvFq2J z+11a_PDmQn`*MAxcNdZ)YdQ7ol3`7V{f}E_@PCXu0x}rFG1d;? zx#>PLUfH5p~rYFrNg%pFdS+X%b8~D{gP~mx}b9a z&wOkXc_0hY-9MBWTq&9VRGZ;z2gHOv~1I=$H?W$AX1*v2GBPq8`O8?yDswK z$h85Q4H?nV)>n_6mov2LK!5gYv&Ebg_p#t(?UN!=-m`m#nP%8ma3z|qVZDQ4PMU97 z;fG;yaSEX=@zkXaiCQ4`Lq|yuVDz6Cf&bqzhlIzVC`1DSbwQBdPojz^oeC%DV@yLG zSgrzf?edScO0%xZRZs;z2Z0tw@uRi9bJfMalZw1j!Dbq9mVI6mM5@9Rrm^o<-UvdP zp63dPw{u`V;XfiaLL|$5pdDtF41JrPf5SBL}<>8m7uI7e&A#5BF#cf&bCK-HH z9}HELUwJstGn9!sv+O>(^v>E&WS=*ai?2|%O(QSe5nXjwEh-NQ#s0uK29Bl1C@4ag zeWZOKtD`ejJO)A50hf0oy;}2?>(BY)QZS4reff;D=2SP3vJS;;KC?&*!+!|1#w0K; zF-nK<)F45X)#N&_&D3bNfm+LBz+Z@ov`P!Hg-SO|TThe^%JI#D8s;{2_B|38RVM>{e-8VYP48=<`)| zomtNAJIUD^BP$8$?p4&}s!W#U$KHAIexityaJF_+I%z6$Qqg{mwbDD1_RG`VJ13$I z)h?kgjP^+CTQBpW#VgdEn#tvUBwbG?nZqq-WO#Q+zr(D?WvF@QD+S6Q0b#fce7<6+ zR!eqlDpM#W^28-w;lAb1*7j+n-;wC;kDtcHCc7EoL!!S9Ojj8;$&k8G0-YUBmuOGX zGj@rJlwa7Lw;s1@MVtX~1Vb4bXW(O4>@|p~gAcv_&UO0qH*2D)mkDV(KprcQhFGKl zwgAQR zXm)DuVqY&Umm%qu_MIj)k4_~%9%%vDjfA3MC#7|*_Y^*}O3NwRl8FiV`- zzlS&h6mF%M)0zSi0+b#t?MZo0p6~WtJsZLI*RG3Y;_@ynPIk1hRg@Du+BaL<4{|@= zzl!6rnZ}%Dc@KqIer-rKx(}$8Jri=#zlYQloE?dK+_U-Zi)UC(0OpsbHHFJt!c^|T zzP6+lN9Bo7j?YS^pcy_RwbehfNkdF4i@)lzp$A*!DRxTE)6|EYdm&S<9#}rs#8Wv= zJd_XEXJC6&b}BdU=)ETTo>u+LUI#ei26aU$4tX;-8l;A64-Dr{E-{fr-PjA!a|Ikx zDYafb{;Od>>2Fs8z_F@_$}1H^Iwin<(&E(aiTIuri`h7Qh|09ai#FOLVdue)b*LT1 zB6;+x3Oe0}Rx2!7?NU@WxFXmQ&sz0Q`;ORoE{l$htUSyozC=oht_)sPFE%aPh?a+P zFYo4ttEo2gY4O-UpTIuOw5@pb$|7EMCSw zyhUo>L{xwRqEnG;a8ZH^Yg@G9-5PDR&jKPGq7&3^!?=;*;ioL(s@3`>7OJBL&$DP% z3`oX3zb%3xGim7SEw`R*J1h6b>A~8QINKLhMJAxb`?&vMe_%FPh>w0f%}j==Tlr-v$2mX1U-WhVlhFwpi}yd8mWp}&&up>rW$ z=d&9NGrL&=V<;{=;U~@8I5jhzT$+En!-s#Uob!-?#G%z-OKx?PDnn%)Mj|X^xJ3N> z>NWM1;q?ZKu+7RUW0uE!M+bRF#V@UeF|1Wwiqgz-oY;Z$gkvRgY2%s{I;rU75@F=< zwr``=SYV;1U!9WUrESUkeGQ`qedc1~cTn~M#+YbM_2lB|jguE1yPR0%>i=GRJoFf= z*S!U^@G$iVF|Sp1XWyg;%p?EbP-_j%3!VydQ+anekUO*K(LC_iv`ST3K8vP2N6f zXVDW<6nY3;`K}IsE(yps@3$RO9qx>Io(*2ACUYgV${0ppY9Y^Rq2^+8JM%j|N?=<1 zyWNwHr>aen+M`bcs<38h4x8VdhfUWqt9! zx25qIQcrK;bn>*%*R1CUzp%OO7}-O)gT$aV4pb=CYbJA|G})t~Ls$U^^w+q#3I;*4 z=+5QdB3y6UW`p9{)MNURDIt8TKYGgm;4Wc)KEk91@g&xWYk0(OFBlqbx0<$9^JchZ zthZ6?P7AO-NU>~_DKpm0C-OK~(Nn85K&|J%x&F?`*<-%J(f8%EjOrmAmjkgwCnr&f zH^BylvngfajI2h!bi|2ay7q$iCUDUwokS1*r^` zRH13PrtxWlL))9Dw!SNxYcYnvi9enZK4>+URJGsZG;77$*I^?O)_I@>OndIV>ZZ={sJT-p74s3NrfCR{Xs6Td zlk50-dqxJ9g)kn(oCgE%S>@bgiD64~x9~VuA1cizx*}gzeeU2G&!;8uGri3hB#zHM zxXL$Vm33LaFB@Zvi*9LWE0=738$J21q;T@xmrBkAE&oz~w#LA5mJ^a_W@YM1OsKM= zXgen6(M->!Ob#V)Qci9c%eb+w`8V!SiyP5|zLs|%lzu#uVikGF<$T;w-sGbIG2Eyk z-p8he-=nA7lAagnP7R$7oR#Li!}Dk^^0gM#8D1`R+rB1}EKf|59Rbl7jjA_^QR38x z@poKrpwDnRm5cG}d=6e1(lTYRv z6I^3)FejRJY`;P-ppN1RvCV0&?yy^wN+EM`sn&14=GXg`p-U+B<8$ z|GTZw+Rq_%>=>29X0&5+WRJ7LlAMBlt7s1HUcXqK6woBHm!!EyJUblSfjwMskaHt+ z9YHJdNE(`JmcJuq%KHy+!c%DFnDdU1lh|5bsG`tvqy-|z#cR{D{3F^t<>ni2{yqt^ zDZ{XfsXr%@ls874t$H3OFFi_NksP_uc7cLCHPD(8AZ7s*>5O3VWf|-pX79q7k*r3UGJk#+Z05qdFo>_ zI;om@j|s&qX7lf%^bC6-4Qdz)H8DFz7ArHopsy5@sA;oCLM5&b6&LaCX(-2}%QMTL z8mlk`(C=lt#nH%*#l!A|h#-}?)Ob4Sb-$Aww}=F`%zL5IpL8eT)*?Xg>l)ZlGctz< z;zbBSM$THV6p~igkMaHuS>To1VKBD$1?zIeQl2i1Cw5c!A;INIUDF{lgL?eHNmBt1 ziM`J@oa-u2Sw z)oD)$gGlel+kS|$tkSbDkq|t*_rvBwG;e8dWfy;a26ZW(cS$?_fG}KKS=(7fu>pbH zYeZ;*h<{DH?g~nC(C2mQK}i1ufJ9s^PzSSZcxrP^G%hcURF6S?{TlYC*Q0LLYf+k+ zq&WxoE@R@gBDkfnh=cOddbT?ICNY%a_6&X%IkRFd9M@YUSIq_ow0z52ip+)-&><9B zG3O(J>~TWfLChPeGA(IUj6m72d79XX#~gfuG#3oIIRqfRbwH>oC!@VG(Ryxv{iIY% zh?36J7kdxfyR@>CP>N7ID=$sPRAcdTT8fz$MnYLtIJzIrtjyQu-O@AY#UEf#6K%Ra zbSa+RfbuMjwgk;vq8p?*^-CRbw*Dn8LJ#5{*ON#1UWUzE-1#mAR^rSaD}n5-bpi#< zcI+hMSvcOzG)SoTj)OR?SmK0_WHu0>$ICPTbXB7uKqdddolMhz5+MMwI5>yc5pWbTJ~HxJX3fUFMo$xFpFv4r);%rk6iTEit~kc%H^^( z%NOXo_U>m0$i*+n&aQe$a^I=?^eJuca*m}r2&r41lwl}vUoeQWQJi@(HnsIUP!?+3 z--OQ*{oZ=Amk*9dUVu#LjROZo!H`^Z5($kyTV-vZL@@&7c7IPce<_;Pa}K?}O>fOU zJUzDfV`u0`!?A{eIe_rqMmcYPrn@b^_v7$I9LT*Y6Q9Q28?+q2qC1uYkVz`rZ#8}t zPAnqDGr0|kkf%)IB1iv8ApCrg+OzMswU1NU?*BeMq4H^(5TXY8Kt%wRwiLr`Z5Vo^6huCwCGgBC#uu~|T; zG612a1uRu_>dl^iSlRsjVYlE{TB+{cse&}m1;u#qcpuGO1lum&@CkwULNaKn=&E6x z@D6O)&FO!#J$OMVxX_rEchJ5>43kXkc`DD~np-}9AMT%5l6c5A=+c`zaVOA5fOmHZ zEmGWmLB>RqX zVslZ~O`%6q?vZ;RL(m5A{Gia<*XL~YI27tMTF&eGHc#cn_Y57(j2q%RU%}q@Ce2AV zVO~5qmsPlT*1n0v;GN%lSuhm}e(UvmZ zA8qOyhA3vL2HRWuH&wQkT5<0G8AC8bNS_HpNBZX%I$8adaYqn_el3^nf;&H;rgB2c z@54Wf=rf_Yz=OdcvV8`~%@G?sX-9+`w9cTb7$IK=6D9-cr=Y86elE1XmkFR4c4lAa zp~3z8)4RpNYVxt2pw1I#lL5Qp6`Wb+7RbaEXx$W!Y@9&7JkX~ods7nMm zW5L(Ad$#UDik}PH#3@JSN2JA5ZKYT_GrZY!ed(yp%FnDO`^*ZqIHP|paY7$=4}iq; zEq5ciX`88zSAd&b??)hAbxRWM;Eb(XSPP+<|J_r?j4)&o%Qv$24OuBR$s~=!R|I7z zhJv>7%TQ~}H)UU8Irp0j0FnJcRY3Pu2_RjzY&1gool3WmMyx(gCwKqfw(Qp;AI^e} zJJ)rDdoLKkZHoA|-qSltUjTkG2CHW|*ychjLN*Ku`MINX_Mpj0aYm{FCTc^0Hide)eMrha87~LS3dEEwGsOSTc}jbxlrc;{YFuCKv;Iy zIi|%BYC_Js!ZEB#sW=mRI;986@gdo7jmD6Q8h5u8stxai$lWNfNXF^~xz?6`*w3?yR^V zWitdQZd*9k5YhmZqKQYub0C}91`a#Ig3J`%r1BWzv6P)8suRkHIF!DbDI}DQ_GF_AAr`+ga9PC*C)SH z#6pu0``{DFo-%uur%Vx=@?cy}74+AxKnKfdu^Q{Ms&h9Q9&T)qUsQu5LF7ltarN!Z z(_ajQHx%q)|1Tj_RAShnuYPTyxGT4_$d5$BdS>4S_uvq zN=kNZS0p*R2wrc>Sgsbzd8c$xJ;u6C%yPbbb)!F*1(GltP#X$nA=s>!)rLdrmQ^N| zSY^ry0eVvcOaX$3Qa@*xEh1KgD&JqkY3Y8zyYhn5(!g6-~8t7vN#*zExgD~U(E(qwLCsI<{; ztv-U45T76#dYH4n@YGZRZ<==Q%TcvMPBPODyjB-r;9|5yPx?6b36wbM|JYPht}rQ_ z%`s-|E}_1dWV;?MAu7*)aw$)Q{Q>T~Nh|DjzcR`lTG#P*FGsI(^*W^5ccPnf@RU6cPrwagkNAG^wOY3cmVV~7n zm?sNKK1)REZ&$FGoJMoWTbOiuq-}{L-QyTiW$;SYny|PtcK9LNIG+KBR^|0WA&t&$ zM9Gx*N(ad?!uJbDHQVozp%gzatbUB)@w<}5fdnKp70WLG#bcRvqlMXUoPZ|2^BFqOV}+0Moez;0gyx-*4` zU~_d|i+LF_#rOR9=);`3Gbl=+1b%a8DMg@@$9I2n;{etiph+eke(~qn>t>~zxCzJ5 z9Bu>Y83=I|xBw=t*A&UU_)B0<-fwB@9r=cg_q}ufoZ&$!h=Z?UmQ=e8!g?`!M~~WN zR=+Oe8uKJ_ng0q&!>#h?^3oGq*#HN>(szCtcXETw^<}Itq(UFp<5O*DdViDV@l1(q zVccv>JfPBp$k@z_!cXR$Vt57S*D7w z=m9rN(qZSE0izdNKSMUz9jvUuN5QCzbl}fYV3Sbmc96O6oYIBVKytu2s=Z?jPTb{V z@MTG+XC`~&Jy#Aa@>Zd>&m7IQhZD8R9rIH8}PW*lU|r4PT-NA zN2K5Zqu(Oy^wh?^n@%>YipNPYszT%2*)`d*)LQha|zqku$uRD@U4!-trKDQ^^F*Udq<0%a2E|#T2Uzbg1@T z16;Wd$WFahjl}GahD&f3T};>>g&ST1DQ+4B(yngXtACOg_v#{aw~r!H+aQvuG~N^y zVe9x9fyGz?B|9Q&Ac@vK;cc^TOyAQ&ctDkYIM;n|cz}nE{l=C!OT9!6Q5u36%6T}b z^*OcUf?FhXVZ`5T_N<1(X*46%Nwm+7y^KLi%+%2P49eQ&$sAc>V9fS^fAPNu*28gNz@5jj^--nu`40(mG9f3Y+g zf>!HuAY)y7qPZU-*SCZG>Db$vGZ@bA&-M*2$Opip`Jd^5WY+?sD#ZW4cN_tegbBD* zNXGDM9EXU9XMPwwLOJF+kf)-7#sK3cX%wk67j388V`v@f5cl}kN+rR1&siFeJhpF1 z)r!9Fqx6L4g7jcN2pQ`jIml?*moGM(A)n%V_yjx6@={ENk#`&gqTkS}V;Fw}@W*2i zLxcbli;sz*|5qd!>yEt}i?%ubblHb14p>PSYl)5$yQ#yhkCW&Euzt@D^nZg)1_*p; zWauG6%R}5J26_R?h?M=^Bar%SF1YOZrh`A>+VUROMD}Oj?cL;HcOjaakk;@g-M4;e z0tLl*@ozzFe%H5`+S^L33=pjMp4)+iMTD<6MKkK$ z5=U^BdGDWOm$AB@oY2U-FU2wdSiR1^anlysn|WUU5pfA3x@Eo4?wTiZZy$^UVo9WE zN3VV`az7VQEv@z}eigXm-8?p5N?TKmq2imlHuwZgjWR%GB+;?BRr_+OG{ZTtGKiFj zRQ84r2eEfpkPAVEuoEi_MlsWL@X5w9hrt-{(7NvnYJtJ$pY~tI)%6>)`80*}_JMTL zHEFD}Bk5j45=1yTG7XahewQWGDn-v!6YU$-18$4Nuzs#j`KX_Db?wKxCOP%$s>h=j zsdc3>QFt`kim{kHwo%Ci=gENG%?2b(*y4Rcp=JkHhg@7HfsvrX``Et3=`*t72H&#> zx!*kid-I(B{Jv!=NFzsMFZaIorg%{TfZvmNPa5pcJ`tM(Qe4O&-F=@~7sMgp+Q!y_ z<;>(Cd3L{%#2Y1n%tHwA=I)BEzf03C`&O0p$#a(OKDr^8a7Ypc0qqQcE^UQp5ivu$}lRqih=k-o0_32mf67_df;iV0~UzBBRFT zz387|%Hf?<9W2^KY!FM{3Jxag zaP6%33}`A_&K7h(99nRZkP+CeDf1{4Qj?UNb8CC=E|&b(%t$a zcc_Z`e8l#89tW|Xk*7Y{tjswkFYPI!ybk~nf&)KWs{TOUuIx9eb@UXc$pv6X(n$Ac zk@(>-v>7cK#d8-?3wvry?+mc;%b;P2wE4cfV246_cNV<`wrI1#6FSWRO}!|&ntX`B zAk7w_S~DH!6E47p)Sq~4XC^XlRZOvYAS@VvPbk3x0`@U%d1(dX{*-~ge;H#D#MN>kC8DZh~m$x zjJ1R=iiNNEDWE9QzXWYExNP z;RW!b;V6zlE(cAWh9R1Y^ysaEyqX-9=P6NM3eguQUSUE_Cdc}Ak)N{3Jl3gCKt@}% z0uwbad}ak$9X2-eJ@)2}fKxFl#);OTa4v+E`y25=$o7U>-tYvVtf>g)p42U5Ev<=< zYokp2IoF{>d;1(N5#boh@RFfTPfv9Lx zp>KxX5r<~2^T-k0)i~PnoU7nfLiRD?tKIzidv<5+<=qiEQ{Hri zFCVOt9Lo9nCrEg1Qh8P~5EItk7^Q{Z3q(3Mhg`Z;48$N$vb`(`G&dsG%myQ;4h-b# zOC+bpS0@bGPiO81;dhlZ$jhv*g!TY79q9q6lzP=Lw9!?hhoG)E347zHVk={B=9Dhz zC61pvaU}+_UFd#m!0`<}O2&{c^W$~N$2D+LR$Ik!0t3O6dWuEE8RzE7t98~I9~&ju zHP`r3OzR=vklmZ5PUvpi`?~XPOsEV~v8=aO(3kra&z+ik>($=QbE`poi~{s#qO&l0 z!O+TzTu8TqoqA(YBV_hgyYE*>b}~*r1-p>BuPnqQM5EcPNEg(hebOCr**Jm M9M zr;V=6y|ws;<9!^MtuiP9zRi8~h%NC$fd7(f@ty+4AEoc((g;<`7?2KxywO7O7ihU$ za;T#VsYR^kI}~0Q11Zw+&Y^WmD5mB5T=6&Ek1SULoQ1;D^3qzCB&kxOur`EKjD`B2 zJYR1s)aB8Flv3U&EdtTmRQyNoD$KHH@G;R1|4k3wk!V$1Y`C-1Bc@d*sfC*x(lwwN zvCg`ps?BWnQIpVQj5%F#*-D*1W;4Ex(b^%c0h%PMYf8e+BG#F9GbbaZI_2iDKramV zp4)pqyr+Wp8N$@(!|g8Xj(5mrXqI^T2)LX^Y5ROAfcL}u_z{7Uz{z24+_*V`iC7Og z8QiJ%S1^?s5H%Y=V%Tfo7Zm{-g(coAnmSYvxRDf@)nZ8b{GHF9Sn(!S_{jH$rcK9@-Goo3 zT9hs$<;=_GAm?PuT!Qg|`xQ2x1WrTx1Y#BFrMQSxONOv)N$Ju|@L^A;e77tx4Pnx{ zqdB;e%CoXUfk}_4u0G0TH#uf>lM@p>J8u@SzGzaFZB6_{ME4D@K&{C@@ug44e)xPn zGL&ZACoA~`>45?^ysh)lW&NS2`o593)<7)v43H1e39MBf6-FDhH?=X!Cy#at6;~7S z-flVDU&0GLS3GR-b+ObRJg8-nfF9DdvDJ7}0&J<7job_GFr)T1SG82VD;e}mALF8fz)E>cE`Qcs?PylNvldRXzGd(IioBxP0csr6 zvBq1FR5WeOW_iwK%2;PrQ>Udssf01*(E6A^o9YNnm3M4vRvx%%s{aHM{iAQ6$jNDl@zuOolRAQqd1EB>a1`vujX?h1s7<0 zsb>80g=EwI&q@jvRxZqBHhSb{N1Kk26eUQMxLZg)BCY^sMZ+k>3g#)^Ddkc^FJ=tv9mNraEUlpCU!I@z9wTvU-$2p{n%vz{aw)HBh@ zPTNQbPIRA~7EG(x;TYPOUY+2n`*Pf5OiF+P0L0hbi*t~Hx95{u^yV#`qK(ITVQPDI z2o@To#8wKag4rTW`<3;T?%a^%t_&i*+cCh%^gAAwl{+VA2jCk5Wq|` z%2_25MdC~9uJsg`SN$tx1alLpsDBlOUO%nTbA8ThFSBiymY>4zoPH;#oHx28`B&_-HA6ZL9Yw+3$NzI%S(TtV(k!k zy01)We&c-|BuuLRG+jk2v}uh@$vZ$Ne4O97Ddt*`c^pJ%JH1OGqZ=Q5_-O-~u^IBZ z<2a;nW)q>+|Hsxd`S$Ce3N1xP73RzDg~o~aw&;K!-gnri-+aHkDFoK^VZ9Gfg|e(n z;32#r%f~KRli{n~tQf}tKsO0PWG{p=Zkgu`AmVwE)zmnSTDP9r%xHZJz?1zNgJ{s=qs0`1L(w)tqgqTKC?!wcTEc}k*U;`qfOKaVY6+&@t+KzGU{i& zTVYx518-!Knu>nPdBk=J>4wr;Mh!6zYNULu?KW~1Z+~=O&Ws{ZO#s3ThkwVNZgE#0fZlyj@yrEx6 zNF~A3{h-*R#mjM0oofWR_ZE|e{=5SWqo<3F0|5$$1|@8bZ$X0BE{L_apzs7I@Yq8vq+Oiwo8NYM&+&M zX|LS|`d8T-R}v|#2Q!+YcpWlCP>0&PQcm0Kq!;Tz|6DwVd`jLMIge(vESthOY6L|5 z&hTvkv&Y`J3$P3Iv(EmE48raLB>IpPSLFq2sXrc#xhTzd*aB9jfOE0q`y>DY&|2o; zlchCfqJC`8Bdh@~WwTxY6@6-}V1yJW#~|zc*}i@kFDjso;6*=F0qkUyArBTepz@D{ zBx~SGLo{UdL=lAX8*fm-mTsG-Ft^dAzlW^Rs z4!sRJ{l{C54ZtRGa+i%EyT05ZkC~!W*aG(=i%lh0_{mY~=tn&ECULY}FH&sDDxl#1 zO3cup4>{7d8DboBQR*}9L`OEj?ylD%%_lpSkvLI=cf5_4tDvA4)On|7x!Y%Q`EE5* z2_YdZkXb!`_8Xot;VfAqdFhL)`4^NfZEaWT2zbblZX8qoJC5)QjRQBj zfbczny&r!`Hb>Key>v(f&9>F*=N$CN-ixxOz*vbJAg5#N=olF)=f0SkIkWw(+`Vj zgFh%~InjY<9}Mo!?Z@w&sQz0;GStJQ&!;pXW|&|4C!_clyMEcZCBm}m^qpHV?lVIu zm#)jWDPHEL^*#vc$xiBJC~+nNX)wRBiZug(Y|k^5;g#I_uN8~#(%GjO>r7b{AAs+1uFQv&p{qWCztI*rQGAG;xFIyRn@kEZ`Zx*QyG8*skSl|30OP)q)Fz%csa;+~lT%(COh zDw;(h#DKBNZbxgZ>%xSG-V$1VqJ=J|r`FCZUXh1aCFWMun}nYt_J)i`b`CK!-@UY^ zdz}wVi|X#hY+y%{0w9c?iyJJXgQVngL%qm&`Qi8A!9m%@_P`yBFG##^@YvrYh#{D3Q?B2fJGZj|B)`BOT}%erztP3?zG(bbsIzaOqu=am}khlYhxcEol-8f zlOfF=HwH~%F`j!5^m$ z1YAC0omJ-O!Ef3FU8x;8@q=%{ZCg4{YS$^9FFtX*Jq5>x6@NVNcH&73IpA5pU|yYg zhFiYup0Lz!B%B~kgkU6_Uf3!|z&+Sfpf-q9lKa(c_11;L7q9_=Fp){7_x2an1mCj&!8mot zBt3KzFx606y;zzb63AYk&`75>tM>upsY=AR)bcF!RyCd0;+|5UE8*@h;|!Uhwnw3X zU4r8=B2=|VJgjHMFBeQh?u5523)B-@kt7(0q4Z5==5pu10%yFXY3xbA7w!Hq| zY`F)LEmvmL+ofjseZZ!R1A?RqfFsAigN+C%j|PK|Y_mCK{5-V~h6 z838mU(VMqV|K=o-SHtm88)5Atu-i9uMkHW|asbY`2%YW-Dp{Bp=lK!fL=TyFUM>4b zU;TZbc{qUe8Y+DGhb0%uSrF(rcLPAj-2rvx>Izg22)<$9Cwh?Km%|>UiJ)Fsrhv<7 zw{tsCnnw)4eyZk^HV<)UO@0B)WLdFF9>x|>4hV-xm*w6u&ZYV?daufbVi!2@o}Skl(S_S}3> zRvQCpgTQRmj_Up9Xcox6i%r?I#*4I-J3Q(&Oo@{F0glf(gt?aJ+dlsv4xi630T(d@ z=QsCGjI1J-v<-23B+=kRQvZ864sJ zKF{~BnEh4>$#H+gKfi)K0;fAgFK}DxfuHv=*fn8~3y6$+y*LbZZaV8_W1t}sG4jnvcotWAHJDYtY`RW`$&PlgOfMVO;Hq!J~UvG1#3oeRGg|)G3HQjQFho7hA zrqW+NNeiHG?86cJhZZ`Zk6sGTyogv6U>Q|LtQCYzuZOnAujM}e{?){Lm*8#B;s@Tr zV(K@p;)(lE=fiIVb*Vg&z%wV=On8p9Kl$v|S;Ow-G4_|+KkNGRFaTk9PxStRuezmEXrJ;(H^Vxh5G$w)+xGPab{xOh z+A8XY2DBU!mO!0En0M!^Cq$ALugd5^QDZDIP&xpzb(flSKKw03><*5(Ak;%~ncVhe z0tD|802KX%0uYd-AkM-f)EN+lo7eU{NTs*(!pRV0BcoA>v_j7LUBCRzne*2{{Ciy& zvj94_fBELzUXvA@i%oJ`_X@=~L>XzrY-{cNVu!p;(i1W#;6g#z7)prr_gDK}1y6!q zQT`OHM6WWBbX-_%RPt|I?K+x&3Qc27!zQ?KxDcR_BCYmvKM+<+gsea^lB>19@y~f8 zn{&YG0-0ou8>~-3F~p?eb1>{34L2q-^9m1h$h$9sL!I)3*l9e>Ko1JLca^2c{!v)r zhvIWab`#^Jy=Eoo*8ARF+=b{I09_E&hCYCrlUj!_?z1unuzcXDLLZa+|8fwRG+mGB zGgUleq`|@)B{om@FrOPJSseB_n#^+u$z7kD?tgR*+C?B0z{UMz3sYpa|1<;(g@nM0u=1A{I!N z6*&e#;^eK9?+pT35SU_EOrlz-goLC9yn+V8(lbRSy(IizZ_?|$zn8S@mskORUcE{Bci};`^J{__yB@+)n11XG=slc1xBL0xF;FYwcbl% zd4B?_`uk2gj`8Tgpp%v-kE?0+*{+;w?B;MV8eb_5XS1Sv6GgJ>fsif#URt~J9&{si z<=RXV*EFj6`&`+4{o40$V-TqL13vTSY9S21gwfCP z?3e%QY+i=5ukFuOkOa%ehIkOXc*M*2z-oo;PN=cQZFReBhs;16^49O1?mFQ__A}Eb z2<#MisZ65dWAm3M3jqE>Vg07gW66+h8|?*$+p|Vrj``~)n$=nzQ|&eDTRk*N8>Ip< z4B_7rDPAP_7WS_IoK+a$$3{j*NOQ`uUZXQ_oi^{QJ?yk*c`$gr2xI$w>vcz~BGtz_ zu>iDhAS#uM6#%^N^y`s)OgBrpGadQm;A?5`My=qPG#;+!_7-B&WCATpsIR1{^cq4# z#l^Q+^mY%og>){V*~WWJhChxotMz@H%ey&EhlD60-5}*wx;c^pZupIf z=REH1^SyNz$LkzpvDRF3jXB0W?)x6(O2#~s6RlPy6~A8E?fnf5_|4Ogk+U1>)>9T*B4p6sqzg9B`X&!k7F- zx|7XP7n7u@yKHW0zU&-5cSRL?G0Cd7W9i|m(M@;cx~w3sYtZhs?~(coa1>{2`${k` z;%vJf^Viyq;ymK?t62r^=W#hLD%t2i|c%)IP!Bi3Q%?FRQrG#bOml$DqaN`8|cP9zic85=itF0+jqH zMKk&0hOXAelb&tb-DtjEPN^#TrSaHW-v%~%>;0A1SzBURoI^8rj{{>(MKRx2>l>20 z_9X8$Jby~`Y$QH1CXsa(?-h zRlducd1`Jw&Nn|hljtvb3RgMN^g`!GNAjk3I3?Gda6`9L4vnVQ@o{&zsfvcTnX^|i zv1f3JcCDCuYuDaT$WJbfHnR=XCQ`y^k*-Rv4F?gX^D9y;=N?F`Fqi%HQ;5dYz&-2p zbadMDQVAFCWDl`V1)Q(WeXt#VwHd`#rPM;+(a2K(#pb(a_Cs9~!8V?Wj~klmV?%8Q zR-AAJ`6^4N;@BFCoWJs8dmnrV;Ci8Tf|LxJBiBkfQXKZX&do?!K2LRgMR-7x9S$SH zRSsEay-jrS_?vx(ziGNww?L9Lbgju{izDmfV?zsFg&}UX>s3j1RNV>R?{~@fRxw!g zuD=hFygX4}b<5$@GB)~_!Q5l7)V0lTee)&m2E&1in~!s6Z13=o?h%-Sn{P0EZdVee z8@}o~hSl$tH_(wRT&H%ewrr*lu(x~BNcr7;YfB*;t$R%Pj`N;-RVp}sEXHjO{HTeS z#C#x(Ud-z2#7m?~6@iNx-{1>vR}Hi_CoatC_-hY`%+^Fm@z0g=By-80)ypmW*B=zY zOVGVZP3rfAtC7~MGrL68Q?Wk9oQSNC(|;^GXM)KLLh_B-*Y+c>4y2PwBnuISL;hR= z-cGaq8$GA;4Rf#^q+|o;vSc|Kr3rNd_vb9+j)Zwkl4>~xZhVc{)E7PUxPLw>t7WNz zW+t1hTFIoa){OJ6o5M8sHG4k|jfkSIo;QX4qG?3~^#!j-=?ZZM6?X8z4jUfW{_8bK zTVn%WlwO8$KZo`%etF_~I1>^jpp*QRMHv}nW<|#DoEQiT;dt4d6O^HsE@+bDRn%1M zqQ0MZlR;a62dSUXECedtO_qK5=PR7sZe*=Y+)rJTL-EhKX9nn>E(gj`<6jV}jDKvBg5 zY;0xB6tC+((`nUt?G=^L~|_TJGz+ zz|osr>KFf57ntCF#QW0vmPXAqhU;cyWmQ(hF!!8eCJ3%0*QZzG5 zy0aLC4M?;6b1ffgzYZ2aavO|o=t%DMMk^g7Ttwg7@U7GgtET?@9=FpV9}aX)1X9~{GyIf~q@WrrVYoGb zL2Ru`Q57s}G-@35g?BqMv{gT?AbOMR7UWvI*p#Dd7jk3_FOO~cStU!G9&hzxl0|j z_|BgfM;3}wViT~3OMxRUOS&}RHNZO^+7dD58Y?ji6sW@a9D+9o?$Ft=2Om~)P!Q~p zPa4d5LS*Nj00yhPIbE@-gg6)sAL~zh$jRMXn&}m&cp>s9_Qwa0>#N~-e5ayzyh7K_ z`4aNKB^%o;ci!n&_!yr-?6AKgRZU9xQ5Y-n#qqyjQKcjH++ErIQgq5^5Cm&qSYz7w2Vdi**ES%TLY^cgvxmk0+`HR)z(%7kn9aknSTAS zHPCaCV7?(pTAe0=sbk>WCg<3Arq)#Sp7S3YIvj22ood+x&*1Ywnw8`(T;zq&m)k6C z0nogx2L_~l(m5!5kQUP>j^MC>*bXv0DV?8om&kJteHF9o6?y)9$zi)c-%oWiF-;c5 z4pw6yDNfdkz=u@6>^pxLQr+V>`{U`+|BiB@PfE>e;m~A%VHR7K)_v-Y1g(@z{X$iw z_y()NTXfvH4k(36SFT*CaT-cf zs__xVJDPw4d`evrR~cl(z)A4d&5om=l{x{W#onVo(Oa_#f#hG7bU|`$l>JE z(s<5T@)5WaJcEK_+<6MPll)^(b9rg~hVXA2=&U=5lg{o_;^;~uvu8Xn`#V-LQ}5VK zw(lA?+vEXa%HE)$(AL(jM-!%Cre-j>@75tAD_AZb@Z@p;ERP==GQ}W&eg!;UuS}QUG~uhz*jsgO-#&qQ+1~nKyaQ8ua?f2s=@cz%Ui|`YxfvvF1(g-O z6{W<|v(ojcbdFlT&k=%ldQ@R`Q*>y)6!OIV1Oz=pFl@;?BW)Rbr*ap~C(v7)g8f7S z$<3)V;D<S--ILV4>sck zRiks?@+B&_Z7wq3#M{~jkK>={sixqRk%2>J9hk@1&eHTFa^EO$F7iH--=&^C=DBj+aLw9vuqqE$H*+rCQmTC&wKGX7Dldef$hR#g0 z@bLb&%1RWkgE_QD05@+5mx>}m=Ti=V0X*}SGG&(rT(UVoKz_rz9l5qX^Ka2DNrf@| zyTPTO@2L_&@9c1I(|LTVI;(oTHn9ok<7d#}v8hhQGIlypxbv(Oo^p{^m0CCYgg_;| z*V9DTk1GwhaIm^I6Uws_s6V+-QwvCXS~>$bFlPV7rjXVQHTu7A0OkCGUIeCxjfeRl zew1fExZ?|Rqu&}>pypV%otSO}etBD8bKXm>z{mzTkPw!GL>vMfkvHkRSQRt}lr`ew7a3id`8UJL4^Jr$wKc8N+^fGYEz4WhAh%sR$Q@ z0Zlgd(p{{fiIP8`|8fne?e?Z^zQuRKknI7eTmw4*++`052|?p=>y{=vI+A&TOB)FO zwz4p6MZ9PJa1H!a^1p<$20O2Mo?fg}sNEPlPT&XsYHzTkH{YJ^FJKB+1EZLJf4?KV z+o@S}FQjHK*BEb&skN7j2){mqJV~s3nxABYFsGa7C62txVA_0s|J>lao})wqg${Ak zX3nA=8{qtaESSL-%CzsAIfF}ErJ`rYnW#~uLPNH6QEy(3SoLHYviCHNB_N%?^62SL zL&OoyO+%MkxJ8*6yYnUXH4j~D#dLLcnrc{k=`O9_*Dp1u#Esu-GH7<>>Yx6ZGPLlx zQasdVX3WiN8a6~p!6U5Ob*2{QthL*qY<<3$>EcLgntBkp{2e$SbS*_7dSnvPuFtj6Vp6I2>&2bIonhPsC&Np=e_hxuj+B2%H+_KgMoS|!0$v*P&1iiQKf-bYFs zw&}~>voKpJ+Ct7Lh%<>^>|1ek8l>RlWeg_c=gqkIS)d+!?4B6pkLN|LH9#|k~e7y?pWi= zX1?M2%U*Xreu+4-pwM%Qd{)hN-IQ|lEw2A@vABkLiw(B<+$Y#L^&mCmT0c7qCP^az zIrAlpx)@!oa1*v45C(%8KWy7ZN8BdsdR1~U1Tg`MZoC)(V$C?|gX?~<(1lWm&C)LD zz$SRZwf@QxIIXf$ZShjjP*JRBB59&Ei*}fUD5tDVfaXa5Ab#ZLce5o{q9!;TbvE@f zR_C#&fs1o4xwf;CXO;-&&Rs{|E~#m0inK&ZVj_2U;>v@HXZrFR29^w?I()5bfNHxo z))M>;^db$;>^z2~Cmc#9PlBNY7r784RkVP`69&(vHu*2YQ;yX~u6_b>OUDftr5`my z<;T0ay6hjEQ1H*S#g&_mouclDJL~+{-6QWdJsOueu3Ok%pP4QzgQJm;m$Clb@@lv~ zz1(u=ef?geBY~W}Sw|a9ifim+#|u|Bg~o5W-mYCX%HI0U`!HxAR-0m|#GTy5*(Nb% z?s#EN*%b8^1EVt&XDkL39yRa?R+PxP3|J+P-Ur}?scUfa-RZOf$Mmc)m&+Kp>iAj+ zLg#oZ+~My`nuXGjmDz5VwVxPX^^%MAyfh zoF1K!$hu`Pxt6HBr=Cy1IWX+rUJqWl{gZ z8LIKC=7O~!e+bcxF-5xgwAxXzrFj5Tj3uq;XI~%fEzP0!qL}QpF1EB`d(1spB+rar zL3mW#*n)cnmok(SHd!zmAeM?Lu0D1#vZEp3c%w%@H%q3=nH5q@E7p0wvvni;oElej`UoL>;h3=eD zg;&}42Q(hzV-Q>H`o6};TqLD>u%GsZc+4H(9QIPeDC4+(ZLCf^Ov`5C7z9_FBU-^E zclA=rF;)~*$a-6wp<0KAyd3JlbP8Ib-KOFn2!F@K`H>$$ zXIG9h6|drl+Oem4n=c33y;^7d^p@H)rMXvLPh0(%7v^2atcxnzW7m%5)~XsLD~{z4 zHZ&d?6UtnADO%Y3Ho=;!a6NL_RsZ6VF#X<@JcHqaxaq=-TxwHyve`J}g+(!m(OXwE zOV3&gw?&+{^7op&6A6ivD2Oo<5O;bmu%{< zi?z^dy8p^iE8jZU~qhRCE8Oo>c$)YD+dTbw0O&1kMpID z)^c;-JL}kP9(-nFqqn=xPCg=Kb0W#lxtLp~CW*wTIMm^3mz%wMwp(?6d|H{r&Ys!f znpe$Khc6rGh37VB?ihIn#vw)C{7(KtmngH+N8Cq=?bySGquarq31Ilq=Yz(^rSotR@U$5XP6M#L#bmHw4Fz^ zi1ifVGA*PsXP?h6FG{o+c_q)D-)y=^do}sC$;SRq2<<@z0RA>0ywvXdNGTP)T-dxc z`w?m_tf)|9AfS?$XVii+KucLD?D?Tt((w*d;6GxALu5#`W=WnHxh;p6X(c%vic~r{ zb))739sZ`PzYrh3;b))w*0jTVrLb}+T%#tS%|V`4Ag)KW8M2aUf~@3|5p%(g58(ay z5T_z2V7k~(Rw89qe^@}oY!D(dq9-aw&IQm5@$&El?2I8^27oV**Y0VrqO)ydoD^2k z3S`wFBy8?$F*89%oY&qH!C16%7C%x-SI?NfS@-oac_;Al&n@P_bXV{Fi{LC~=kmQV zM_JPJAxLGom+5cig#dnqEG5D3&j~!%e(t(K&y0p_v?quGtp$yqkY9)VX%x4LRcmm9 zKd6VH7J(+~v&0(-4wJoNhASpA4sh0BOGaSsLB^~yz4t~x_RR%*zo>4RxIkba!hCQC zCpS`r%j4W-RKBxJuSWR7aRCs@;2x*C3~gl(r?g z+iWEQZo!Ud+)sbn?iNBaR=*g)Tv*ptS%F>)d8iZ(gtKar!&vMuuvUXBE(F3|*-eld%GkOKBTi+Hal#>9&aC zAXulXoXrGhu}|Vxz&e($t@6soL2bhsv$upGT{v;|7p6QZ=ehuX^Yk1-UfsbI#*1&) zXDg?srh*e-u1;i*LtIdYcx$eOnpIz3YO&3m80c^vn`PpxH9ErK-5}wWOtS z4)^;Yvh&2(Q5Y#9M=A>Wi}l@3;26+K-YK%UjmDMA#_e6!1HU^~U`ZWX}%PlpUnBq|YHG%-idYu>6%%12el-u0f$eu{)9ofKmYv8)Q zo=uF#7*wBUS0E!?x_)Jx`DHUZg#A@hiA3dAmuzBlJe9ofL7LXo&$v*FS7pYbpPtt8 zOMiyU*F;(oTPhF+V3vRR_16th*fxy>=S$LB8Rxx7B5_(t0tLXzU~3^5P;fy24SR6R z{SuI}D|8(8Medq*jwKMGms&7+wX<*oB-WOl zTG-|WSB%H`&glWL?2w6dpW-mN<_NR4765~|1S0YzXrCph<&Tx@)D1Ie;Jx=#C9U-J zvvX6z@rSJy8S$W!PsZ_w*ZnZfC_JrUJ)#K=>5cbQiAuxFcqYBsc!!UZt2+^MJOXU# zL+tH=ldQI+pk=t!REfgBWVV&Dbx)?<{!hIf317Npitp?m+Z(8brJiX^eDGasBENBQ zIL%*I(gwe#Wmnn3$jp6j^P0gnj$pO^*r&Tyosv@buU&=g1>}_7P3@1zUUbWui!VvUgRi4G$)NCX0HH z2w5o{aP*7E(ut8BPM3a{n&p0fGazqO zyjce3kgB|2#SVIT36FnquL(msjK_H zfn%DB-Z4hzywjjt2@(e}&h(q@pHL^* zJjZ=y_ftj2A_6lUzTxj^dk|+5W_wwPHxmRR)FU_uJpzMSxjek>#jHL+{D_X3+g>pN zPmlc{aQmTVJfL3^{u^Ik4NE+AqWbre>{orO$f% zsb$d0w39C*Sa#o_!*B;dO^QkQ3&ZS7{D_uW{N`65YYlj`Hr% zNBTKqA@u@y2h*Al?h`rXnD8_#7DSy?2Ja6bV_I^45S(k;4rHIg=aeeHNj^KV~|}4xGoM-Jim{h zevvUhLmjt0HdG(*``x}d2jTO-2`)j78?%M)ZmdEy0|NSqIIs0on2vX$zyZq(8BP)! z^$a}ulc`{l)8~ffQV&3j&ua3&w!IQ;`FKywS16V6f>1{1#0f&sB)ekXmax=7;4lb>t;#t# zC7yJ;E&mBw2o0-Lp7*zf(RC;&-!rH>XR8NbYg0Ai<8GN zu{0}Q1(rUGZ2qlfL zqPv0I8;ZtTBQu*3=VKB67vtg8SXJ69DeXB`2|!#>!s7<6-HSSz*-_(b8C+akY;SBf z02DIV@}YJ%ICt)xksP)28;H1>-{oB>N3D-sG3bpSqw^5#*?&S!2h)|R1t9016Jvat z8o(EZ?xk5@Qew#iN4p0pLy9CAR^ee)MFYBI0l|wC*|YMDSCRV?G|;V<1OEX?e)U)m zg^_&9o?dcf;H@)U_hajQb9pcRMt&^K43ILT?QQTMGy@_?O(7}h+2hXjua>V$xIvn3 zxJ4DQEcfXTp%0Zm@Hccm`=_ZFl0IFLy-WhY>*FWCfZFEIFAhTgf+xk=A;;8U)!X@M zU$%tD2dxgQr|Ld(=F)>&>Eqh2)=xUi;6Zr0JX?;5VT$Q{wPuZ0mfjYCwv7vhA1c1P z^G_d$i@fUjGn;`Y9TK;ej~jVjlE79U)7LD`<6S9Q$k68Qjbe3 z1C(|IJU+4+z(R6INV8cG_g6v70pq@OP+|L=sRv5~ z2`X8hfu~bC9GJdF9i^WkOjc(ECX_rFs24PG`UUSb=NXvXie>8d(!orYAs;>Ik3f%h ziSNlZwuR1Hj^~D}M^H8+;%$n_9=S^Qkfm}PndOVg7CHaau7@WRL4e;AN=igC$~E#s z^gTQN%4U;25|(kPN5x{GYP8;zO|-0$b6QN+BxTJYaUBnKc6JtExKZtbu*<)Y zNT-_E;LnfQcwIWn9d!JgeTMT|a}umiA=I1>q2}SWGuem2QiI&=R_mj=iddlQI`pO4 zPoUAYo%G<+sqK~DY8urqG-&RqlzDg0&HnO9d$XuBMH#?0&9L>*%f$4zEcbT{V(9ah z#nhfYpuH+MYEggaq5-63mxH0C{{$mV&3{5l@bM_00k}MTSDFD&q7d-(y#&R+z}j=8 z1mgAD??s`)4ZL~H*Q+y0FxL&mtX#TxeBcWcW*p{zr{3|Z=9spD0yF};Lov1V+G0gr z=RW1J*4jPI0N{7an)2_KgR&GJ1~LXM^K=k0DVHhld5vB)G_JUvBN5wK^oXmUIzW&K zS7}-1pLEt!`eX5B;X~*9ZgKUer~K+;js-|?WFJv7m`d3)r0-7HGW_Wo# zSWg-x@MF@m1gJN>E@OHdoco*4*%#WFDs~9g{Vb?hEn_q{h!|=*DWPQmZx{0GJQl0* zw@{AOJe7#C!%qSrR<%<@QrtHir8HY$r?lmsx*B)KvAE=x5xn5$hj?FSc2&}obr1G8 za-?K~=7SH@VxniiUTuMg_rLJ89{^YHGw;G8#2Tf}P7}TCzjhftlyUAC`{|S+==T20 zDRv=ZTU^HNni*doU-3U#G`v#On2x$Ep0g|FZm=(w&rQ!3KujpinYAjev6Jd?(C>c* z=A0J<9ekl-My0M@7lF8~nITt9P4V+B{P^_mS>p@SEoSKNvb|Jd`}JF78rNj5cwp0+ zgv3IQwwtAI73zd8NHu2k%|Re{&Cw5p`{gdG`+sjv9uS-hMZM+v5lhZuJ5! z;x7b+CwBJ378*d>h71Q!rL^?)mc*6OcE^b?V$D_<3e*R8#bK0quN&Okklr zbUN<|4XY6}`4tFZ7l7>GC>qwdeR7Yos86Z=$ctJ}voMil*~Bt0l@gKuO6$lF|MFpx z0Rgg2#jeiWDMaP~wqD2#-sm`Fuu+ifWR1A+p292SQH52-1v!F|w<6(9mm)5rLB4f} za^%^%bX%+mxanp6_seAcw;1?$GyHn+*V2|+0jjX*U=ugY-SQb}s(wyfltObSK7n0u zfY2@>`+@M#RhU5)1Tj|uM)kBmdHzSi_e>eqtohqe zxFuFrD?4%2FP)&&3ln(ciGS-5`gZPvTIS|36&*nh@%Q#K4OV!2)7^xrTJ7yKdtk)C z+j+Wvh@dJ;ERcx@alD0=l*6^!K;7Y}2m62DKsBVwZ;Se$PT-d|@k_hTd-$~mW@_`y z4{>sF4XUz`6MTo#@t<~0P*S^*9F)Yrli*;V)rW=(S3>IXI|YQ5^{<_Yc6CWxH|#Ko zAA=OMR_+7E6NeLx#)TJ!;G~JDBDgMe8yW$zFtI0kO!#ft5-9CNB*B)FF&^~SS=P>Bnkl2E{cRW;q7R&w;$_3=sF;D>?J-RBCSgX zv_~ZDEaN6hB`iCAq>-@TGUW=vg?wKjqGWj9WBCIuo45@#$lh|G;_oeXdJRX3UWxPM ziS;Gh!>EaDTK)J4%IJ^*B66|Nd?%>Fa8JUFRe$@$B6>=nTO&kCOK^FD6=mPGL;fkT zWi`yxXn>~2=|d-#pP@zz7x-_eqmlH`CCZp^ZEb+j;D`$T9GFwIenBhKz#OI{3BK@v zA_Tmk2faSIY$Syl1-*{*>RZ-HuKI`dn*5P~7Xqi;@%JQ&W^Ij^4{qOuZ|kne%jB!4 zO?f_JvQXN>_{>Xv)v$7_eVVjieo5=gcUU6D&E+{RcaPgWktS#@e+alU%E zB}}50!hgPU-=IU+eBSz;9Q=nHTay>-PU~r+hV7h&xZjy}Md^$8mM0YRPb?o`{)-yB zzMKm7uL^GcXr8De*gn<)3U6PUT6Aa4F#2@i| zZs7A8w^wLn@2}u+*pG-ZVBx*xnSs|;cy*Ca6cH%LICYaH0CEAT^bM9{G6WR#qG$Cet=6cc8Mw9p!ad&j&e|pZ+@rB|ino5ZHWf{J* zfo3oZ$Pt_u!(Z#!c<$2}76?Q3IWQZgaWG&SE@CELL$HCQ<1g>JeJ$^@eyBU%IjnvR zUgTJBGq86x)G{xuRzOimJ$RFO2~*7I^p@x&w`~AQaYoFALgOaJugnFg+gUZ zJ3iU}P?T?S#q%TR4jRQ`~Ckn3@!!Xxgd(4+f9 z`I1UpEXijbn?V@>HkWk+O*XSD?^F5<$C^mxXFacYURy$-$7qQJpL?gq#Yb4R2NaC$ znQ{aG;o%2F4zPx*Fa|5XxpSUkN{F;96ykxu>u%sxRwF;8RR)&aVQ=_UuX!%2Q!)Y{ z>IuW-J4P{Agw8jBF;<}8dWH;RXWnT9j^?M6+~rO>^>srfuhC>6>48ijUR+?8W{xA3 z&zG{4$8c zEw4bpZsKy{SdRUm=rB(?{P-vZ-7GXT4q~$I!^UlP?MYX@h$H}0PfnejHN7c#>*wit-XxZ1zhL9NU&8<+%74TNpWD{h0;8) zoJTK@FFDK#v=H^hGlZw*C@X}j(aye3Ji`i*YhCl+W0aYrP}- zHQAq{L@po6)j89kV>I+rvKoSwDS+nku@I?|;s|Bc{4gV|x5B%^CDR^!vE}dYr#%6q zoQ`2Rl%HQGfGX={d`RURUWTNy;GOMBr_rk0*-|7=rmoA!dHs}#O8O5Y*S5Jys0BD; zrvRSGQDr)7`7Gbg{_|^^E{7WvMDe)53j%SOF7BQ9B;9Vm#1)&;|!%{;Uq?{O1GdN7ip&#G^}cEt5J*WdC@mgph9=MJY|~x@~$8{A52J33 z$BvHrwk?z{rk?xHBTA?4F%`UFWT6eOiAN6!n zC*6wn_w>05Uun&C#-k!rDT!4-U56kEJqdYoFnj?=YnP+w(R_`cFiBA;S=Gg;!^W8O zC`=TZ38@x!ZIh#^n`leS08Yc#omu9J!ZwVZO=gccGi`4;BH$t#W2O~myD;ISf4s+4 ztPo1csD#D(L_hX*A77_OX)(Z!3aBn;x?-@xFJK2{Y^JgzX~(P)sn*B-cA3MT^n>`c zPfx@TR2t5!4F!gAEU*uuY{hzNM11Z)9<>e}I%DqUqDKw-jgzA>QHhv6pSQoaL0i$4 zf=F?<9PlP>iw(wXgqu9cUVlX^aPM|JFfxuCNen2RI_EmHUNV@!MfX}R+Kk41{MT=o zEweqgHGajuWOP$ZDs}cNb-Dyk9gq(TfN%@n-rN(LM_0o`>bB@4RcoUJ}ElN z+?ZHBq#EmI;vOfJKcyW0tb-&G z5-Fv3NeS+s<3SZ=W#)l^CZH6av6xYKl%X@ES^JjhXyD>YQ46u~Rh48H%{it(gyET4 zXZuaMX8EOlvzz?Nyy`kv-t0Q`Wktw2axG3n=Ltl=+V%IAnae8m0CNo#=LHo!+8oIh z9_Azklh|LR;-07NQA)gO6rUIS3Y%9l(64 zFJX0BSCy!oRVjaSdgS?c_*p^v_Qi7L>r-4@VH7`NoSH?t%bhNe{>(9SzNSUW1fJ}Q z!(#VDbwn+i8FrK9?qVgFRB?MRYnjw1l0mWcCocM~0RCkM3eCvWV(Jo!~y$ImXJuT_%IifO4K7^_@3PR=q0iBUa*E5_oJ zRJlZZRi)~VT;}gD3T(Osu39% zVZ2cSyaHd&_pCpli`m`dX*C{etK{OZG%vMLaZ7*YFQH|ukA8$k{tLkFL;m?!h>Cr= zuC%}-qPQ=AaZBj>Sd&YJR`QjrS6|0aU(qk_65=_ke;!b<$IgS!H8H_OXLW#%9oQgC zzWAkk0|Bq*8r`Cthdjh|?s?e4uDnQAa~#2+JY!4zP7mB1qRgtwc#}7oDFdkCX!mme zxVc82<)QXEEtm3>`zZOa4t$V$aj$BOlri@hZ9ey`mOL2Z?&r$1eZqEb<;G*KM%|`7 z^5MLPpiiH}D!TtLidF3}g;btG^#zpR30($il3z?fGIT*l4e)Qw+_ zPsDfzDBwj%UxJ)Ja$TwU+5;Y%%;<%`V&Zie`0+JPaEac#FCybgdZ@#Uet~WF!cGb4 zAHex-0P>szF77Rb^?=)Wj3XF)>6`5?#(cj1;E~8S)->*HHO^4sb*g{x=fZAJ@eZl_ z_=Y{h?*E(uuE)p6`n^zRgU+JYeE(V|qWLr0wh8kLac{&+&*>{X5lhXMV+;$Wafw(F z<7m#A#emWPVWB;t`-Qx-mq}+SpY<{kFKgwDlb1-Pn9($lBm!9|n(0bC26ygA{2KRejPG85`%0(z%4 z;(=1y-BkAz8+mr&%~1$7*Z%}zOu5tpa59CY^0}#5ILc%hN~$T6#I5g4Ti2UTCi;Z~ zg5~fvw=R6SlT^Nmtp|Qt)FG%mOSfC@Wb;qGmRRaseCi~nQ|_z_zEn+&n08r6l7i8? zNbcD^38Ls6$lYwel!}qFe z?iDLj_oaz%9u%}x+wIt*+c;Cvr@s}pzC%aY$532Bh0FKNeilc(WmHDJ*;x{Eb3Rmh z1F`ZF8eoCu!Y4ruHTE)i87YlNrl9~=Tu12;gjp4ZeKzC$*v$f$Nf=U42liNRJjd@- zBqK4h_5!r1E$zm0vq9ezA&g0Iu?9WxNLaSQKaclEz#Jwi^*~#LmZMQkL^1-`}%S2AG$$DB!_F%yp>m+Z-iyx>^pKMlasE2L8VDgMTRdwm$1Mgz5F?mC8o2uAN!mHdRsv!UK7;Abs);iSWJLZkvOYliW4I0EmP<&)trq%s^7w&s*-D_z(9#@j1lVz z-wg+7hWs5wR`~Yufqr(0-NfnfL49x~noXdNYVVGzW3bW>_ z>d(MZwNb1?!4Pm3m-(^=17xgUUj4V`sbjR4V9?16;32n*&V$A7kqjy9{fG@t*6?Suu# z4CR=$w`PSymjBxOloh*Kx213>5FuLs{XXT!TfB-%otQX#KNUcU4_$+2{3&EdODrEG zL7l|W@z}mMhpne!B&Gs(-vW#_t^<&qlgayMHgLBu=J{E=9-O5CiFW39bEB6`H{*b# zh|BS{vw3}`e-!>Ee`Yb*lez(w(J(8^FHV$vM%N-{)IC}j@2dbz@r88i5~&-?vIGW) z@lhxB{piM~-W!2;QuUo&)t56J+UEPN8XCq3wtfc6h^-nWt1;}3z*G$;_le_eg&Q+2 z?ZnROO`s-u>}9O6NL@0qy8ok&bE^ZuD>eO()&px{aM9U}qn;!S^w=NwC+HtuJmzNF zhar%$677)k)tsbUK%c_;;55S@p90)be1vMojV(SL8u&!AXF1a<&D;h{axFggbN^>m3YUMo>^L4_9oS9V-xhMYv1hgCV zMBiXs>PSul?+f_f54WUMNO!qdtKl|%JyYMjQQjEy!`(jIFZxh>FNxK9!8P#L4v1qP zV8^5S0(a#iVsVP|=}E5goWqj_#|Q5OX1_Q%y^Vm6+@);9@gK?Z#-$rzs*kj1=nLrr zhVOC*`qedsIA_jwG)D+g&`ri_3d@&ykiNROfv`g)4TQX;KBf`hww+&W@BS9lKO^%! zdF3N+_~_TTdkmF(ssyEPBi#Vx&YVDs)>gDbK7Oz_loUE*AcWSzDLt6y?C}9=bqlQ7 zZ?o;~78v}DCDKEm+3~Iqs3mm1fb0r~y6K0zd)k4Q-X>FdJ`C8v`d&XiGEuwJHiN&( ziNlsc%U4=b;-0U>){6Yb@~AQZ0=6vUAcXdB?u8po@kN;KwxscErJotFX`4Uie1T5U zaA0N48#QKpWB|$v={E?SAAOClXn(BweqQcC2GwbQQ|z1koEAFO=EY{QmLIWSfuA1h zv;&D0Aehj11cQsI==kD)(E%j^tN-4s#s8lQ9r_4B+nOP{TkqYjaHW!FfvEHTaz*f0NV&RQn9rlVI$b0-i&Sjvpew|OhdTa@3YwAhX!^EcB}wO2`nIT3QYK6MQ)pDy8MMcw?CSSWUTs#8rlC~0>6%rcZRc2Hy?`K zPaxqRh5p^y4?3WyJ42+St7~;{88Qv+FSm!uZLq~JNgiIfzyJBvlr=IAjsCAj@}+oK z_ML)zkK;kdKGMBpRqMOIJv_kjrc&le&%6TcgQ^eEA4Ezr$f|3=I{YLA?8W*I1bQYY zTkj&0;iU^y_(o1-!AaYi7vO&a4lYUV`CEAvA6M>~q7{hs`b{ik*ukEIlhAWP4MnyxlujUV(WPDs z!b?gsi=cJrpq3@@XahT#e>62!)19d%Nr3iVidGArssx#ho?BxeIF?67)sz5$%CYeW z`b)-o5w^Z#-(Q#TUu689T{mc%0g%hi18WL7Pe8A_+izZ7`qv9!6Lc#Xb{jPiWUR19 zW_7%vvf!|S?tY0CGTMkkU2esak$6r9rhy{vtzoL*3z-6b_U#0S{k9~!)VzGIkI_j16ofk!tL3zOH{L4wNV z0Db>Ac1{;6)X)sw@ON+U^CCF>4{`!+;3fG5o!=M7W+tq3?5 zTy=d(TpYvXq7U6wM~CrlS^2q?evU9IFlp$-bY{YZE z2d$wn*XJpHoXGLu7ZXtkBjUsGPW5!{x1jzcDIG@@I>mc^U@zi2nBo;y6cR%nz;isU z$X3pL!1*73;XU$PDG>D9Ve~A2L4bN*$!uvw{2>l%g&>A@rCqgq7v}NgnidpRr$L6P z{LT`O?fEr8j00m8zJgF8KY?IF+)lk{oQ#KXa#Vmz@|{;<_um5*#U%X_0s$wtLBLtC z2W&O}bbAx(3RYEr;fCgiL8HFge>CYQe4S@~{v`Tc-m0?*suwIQ0@!JFw!gM4rdDOH zTh-0r@_oPziB;`yaiqeJuK5e&?G^cPz+ zI{Oq`!Hq{sj4tK@Z$rTY;Bm+KhR4u}sb5L6`7iN%SK1XWCxO57%YS}bS+UzD6=o@d zt;W^;?v04<>R1E47-cL_U1upva2YI|hsGstbc=KV{T6mkve@uRUacC>S%7*G>T2!N z`i74XF4!&yq@^wl86>O^2kG}V>&$FuRGXa^=qM0ac~zy&jY&;cC7~M|`rqlC+q73v z{U8KghX8b)?~efQrEst+tr`vBNyV(K?Zy}|QM-6tJB#jb=;~`koBT*CgmLp1DJyj% zb;{G`3;V`N@X`MdJRc~5_ft_{;5zU}!SG*ybq5enj6VRHzy&nEee8`hrv<=HYewM3 zA;O+NGZGH?zHpSmPqd|()e(^m3;sX4MK`ahlo$Ph7u9pi1PTS5Ij(DAuuCG2RAzjXK(+ep8fhS7-o8unLBs)>yrQT z;*IjCi@lj@iIXy>U=XJ29xdj@zjrvX&I1GMWZreM-^O+5rhjZ9IvJ=O9&X};B&c=> zMn1O-)(+ML(+R3iy+52--D56`XM6cyuLo{b`U@gfsMJ3CKi@Xl;W%jpz!(ZCESjS^ zfNSCMJ)h_RJ~#{)A3^#I2T@f5h95sQ*)09t;z%zrK3{-g1`Wuv0NMx7p@bNwzYoq+ z$fszycHj#{Wsn0ZApso{d;?nd3Ba-Ihu8l8NI9-|cI}Vz^9G3Mjm|BOSl6>(g}pY~x6nyYiVsmg{B^c2WNocyB{=N-Gl>s=ik8{R z#+rbmT6gFnJRO9%nkc{h6es7CnNJYxI%dSsygubfNOpd2jO0`Ba2hbLc9iKlg$Nw# zFD}^U{IM0QfSJfg;Zl#kpgVR_pi=$^*s?JNB)rc6_W37ZO!0u;h39X@=qH3PnW_Np z`t7}9!pipRw)-gR_Z-v((!s#ZkK_xWQK|!U^A()f-QOiW*N^&nN0viU8UYmwVkL-f zLV~Uc01B$Xwdv^pUGjf^ULCxR@J83;ocNE=&V>Yja~1(4|mhCsgsX zp+cv2{MVcxL6`(H&x_>n-~?d|>7&I6;xr)e2C>nm83=qk;DZR_fR%}uJ%1VhHq<2% zG6&vQVs?D#o?w?kkXY0? zo0G8jIr`wesq`YlTg1E2?gQ@c8@rABV*+6yw?adDnhXi8l)!loUG?qm;|v5#t%R=X za`P=5kQ`qT5LNGmj7R4N`xT=A0WFfSDgn+P*Hin6)xCcL3jgzJ8llzX!~l~>^OZ3) zBXmn|V-))!5x1Y62U+B{#hkGaf@V;cP?64oD*5Igd?{8{D0+q>@A?oFJ&oH~9l(p4 zDHYIZ29@s9pU@V19ReZ17+eYLi$|%8XAAmAz#lgl=8i}sM?xrF)f8hvVR*tUjuHRK zp-eXg<5^{G4=Qr}SQ;EBJzJD^2MvA$n~qS;pP&dGMYRr?9CTfh0;mv%*PTSNC=ICo@Vji_wsUfWcIP1gUu#!tqm!GF(oyhSkH<}SWi+XAKuMD26_=D$tnbA|vK!$o}S|1w(J?-SqM2nW#ZZ8-~hqUHs?1iqC z5k2CLfuh*mY|rRt$obIxx-d}HUvhDAQKW@U5scXI=twPLTsr97D`R|mV%<>!e?{26 zAm~))U2nw|#%Iwe^Ar;hWA8#Se>hPu0tU&|1JOD}^E3cF$Bv3Pz5*cuKbu-|4A2Y} z;4b(XDcB6L?xjPIxlCa!hn1h7-Zd4Kz-=#5f8(F$f&X~Wa=%O%kl3Zj8Is4Wpga#z$x*k$T+Tj8FvPyjJn zZ}+!yskPR+&U`)&9vZoCbh1AbIRohlnGFE{=_D$VzTY57b(T5*y7HKiZ}a}vsOX*DDDEGy-#Rv?I^1pt5KI;_WUIKckeh)o*zE4We|cKvo0<%jmf5{HaSH7od=g&H zc8Y>*W0BN&*Xp>`R`K@&L&X~h<`@8G0D#j}&I=TGdi@cC&S@G>NQ3jnpjZ=mcbqgU z`}G4|{?Hk+A=OB})g)!I`&$C%-|zeG!tp(k__Y4Ry?t8Nw_&_tXcf^n$OeuB8j(8{ z+9YiZ4fI!Dxb+;se}_wT(?g9~>Vb}fgjS7z*d+F-aP01=jbTX$!9+q1BrkVi zuz#IGYg)}ZQ(1FCmi4i)c#~O*>!F02r@gHxFAQg{@>6TyzjlhjzI&V3WVM1PTsM`z zu9Vjl_G-KLax0+YW7jo!t7=$*r;>fy5?_AV``+bz<)`U+)v2{L8=R^3n+}KL?{8l7 z_wT@KwKQ6bx{l?iQOyU#oyPF((Ve*O7Xg=*m|2_tqnQ*Y-(OIdPCK`Cq{uFrRa{f0 zP_q&{P|)i5ZM$62RZuB9gc|p5$?_JS{+$et0_J$RSlzl)E}umt*QZ%%E}HX{;^Nu@wM}YowSnB9e=FcQ2Y%;=VS^Njt7DM zC}Pqw(76@Jp*^2?`tmOYK#i;3E>Z>uG1VDxWabS);zj5g*jzFK{*KXzV!*o-oTLy} zSd)oCsh!sNu7T?2B+U9c5EuU3{C@dMUS7vWK$Myav#RUM{lWJh8eCLkK3imBRa9z% z#S%9g`z=fNhGwuno73*s8Wtwo)QOMP*UWidy;Yd?Fm&(S@slU3T%5lL_m_d8i=dszM86X+pnU=s(9-DCQow;s}o^kfwtX*CfEB<{mapH5n&8b)U z?M{f%^K9GBsIraj;N5NTW1u>3ls&ib)~nh5{LAP6egWRY(+M382%!`gP_(sOM@gvW@hF0SwhvmUxou?O??M>A7>4Hi5Wnyn-$XIcqjm%ger!?+T zGl4HA}neJ@CIEuM4-7!ry7EVL$)f#$EI3Nu#XwoLN?p)72MP@P$m#ds&*<1&zE*zrDW=-)s+x-ZaRoRBE1-1ZZ3`FBhYG0arkIMB{jQ|fbpsu34an> z4K2S6X!X@Uj@IQEzM7*^muJLI9N5I@EUvOoC~6Hi^~o!1G)D5RCYrUdt;jc7n|qJ{ z#;LM&rZmkui_Z?E-)&G5_LjgmQG2;_lqXHaH&m6M^fZG_%4*-}Lcy=Hv75iY=b2A= zt)|zNd{hglFf*L%v`%fGMqM+RomY0(e3r~MV6b|$$y!sv-M=)pM%ZT$$k_Ze*okbv zmy+Wg%DB>-Hmfx3*!Ve_UY&})gBdbpsz-T0w^e&EN9e~hjv^z<%6g9H2GB;fSANx( zvTtKlHh-HaLpFOodEo<7Q3A9ir93FaAxU*_<^_g{&9yIx6vRD++~HVUI_?T2Erq@K zsbg*^#`^zocqF8u2c?_k$kJF{M7{kX@=L*>!#(f~;*(W&21_JbXu!wa+-4 zxYg4Tp)_ASP)jBgla&LW3+k{lY<6C4Y-=875-7w?>81y|?(_>;FdFKWwt5je_AFxVlVeO<7sb?|x8~*zEVccA=UkO3YP0dilZTHOYhu zGpIM(PXF{ax-&3;dXb@3$}K-bc{1;M3AgI{y7eMMQbNg$i|FtRv`2M*n z4w;-)yN4{5f2>E+*U&>Xwt9}9cyvfey*?^lFckZ*j1 zOvJ71&RCpj%0@*h+;P8ru4no01qYO1>+IJ3iriGnKk@f7{`I)h(t*ua49H126Q3x4_+ahu5|$#}^V;F~Q5b9lgkl_&C(@t&R#I8ZyYDBvJg*ak zmPq5t;DFe)S%1hAEDYt=m$&XonW{@Vh`vaNSOKkq9uJ2IwBboUKh-%q+y{9|CzS7+ zp~3fa=CGjlgB6Um#9@Gut3L=NXW$6khv~cUhDN->j67YBDS681eH$;gRUXDocg>}2CJ#lHXmTJp}lY-VIUc%-I4rGZ~8!Tkr)!#h!3aBGK( z6Wg|%C+ajE7)_-(3F5Lq5;m0;}vLPC9oF(&FYpQFKh>Mw3JZ-9?F#?$5@Mi6gD7_d4Q;yAg(!QKbg>qxJ$WPeb8m6 zu)WT}ycVgXrkXT4Tf^rM>6;{%l2A0B2HSMb#rr&pUYG|E;d=YO$snoYbSW?YtTup9 zaYnS5)z`!-duHwPv*86hy3WH_3Ipg)tRc>3~*~$kp8)&fe9?qv*S(+h0U-K?`uQ$vZa_gI^Tic$$Z?R&; zdaH@w&pCY7`>%1q5{=S+xztBl7)Dy0;r-5j8#(}lKPzodmT+J z&(6&(%1;Np>$5MW>7w3?*W8yBfv`jDeT&qD%U;LT-#QnlZiIKM7o;1*Y6JH1D7Fsf zIw-YAjXCI6yVhP{Nza}8ojtdnUS~nMCr#iaro`oCLpXSJP{FR)Q2tZd{U87ADg|%esRJhJ?Vs7YAjUCEy!SX$`RV0` zcE(p)ab^OIWHEp~la_XNLZfXL*`Zq(vh{_R7`N6-k=+Xk^X9Y&F^?_%^{1p!cGaixq}8{lnvU-8#alHU)zPM2A1jhklHg_BNa>lq@D@2w z7pg;jE(b^o7uxo8BX?e0byU^tm@3Rfo3+gSQZ2U=V^NOF%t4q&DI|J3x;!i66Chcs zMpz6aLr+ghXPx6(7IOOG*@_ZD~)%4-tTCxHYx&C%c`ZSW&hq^yF> z*$7>9Ql~DdZqAepnb3G z#!DZO_huVia_d=(3^P|B3{`H@CzaAll~w1S8q=Xs#WMG;i7YBqBFne65|&HaRFUzl zu*5b%0wdA5BONbL_A?k*p63&RxiE&;G!WlU_kP%SreV4dt~b?i_X+ zW9ODX-Ym@lVsAF&UpW(JN^8Deg}&Pt3gaHh}~dsgcGvE)dB@DawyWKJ(Y@GdyT{#upc8E zzdDveQ8oPR+(08OU(dnG;}VkB>e+DE)C{?Sfxdcri-lg!Z*5+BG1E$>oqnaqXKf^O zJCoBI2(N)MIb;6XgceOU)IovA$zZRI$--)K9!W;VBV`6F+yn@)cad89`r2idWUJKOQ+H1Sjk0*jrm9ec!5~b|@6_yJ;JL%@U zXmZYa0TpLL7a33?bj4$-iJLrN`+B{bdoemwd2)<-?BV7$xm*hhZteae!|T}oN#HBx z9o@e}U4dSh|H@q0tk%Lhs03WHC4^`d0OBR5;wc}LF5`T`zAQOlW9BL(vyc?C53`>U^_(HH@Vd*d4;q~yP_HCgjfm|IU7@e z-QCJOpOz2b&sU`^NIRIH>jg-r=yV-}{YMx%39~r5x%cH8X*cKuNUlXj#7ug@zXw1% zorU8F${loLqe~R50LWYlT41zhW?UUuzW^yysl?Lq=YW80iJN1WicQ~F;coCWhuxk$ zf<*nG#nL4XL_5upUvogb=uOH-~R?sRpNSz*(`^+Mlcj5loi#cLS5NXhEU z%hg4hC6uu;RRS&VN#jO|zUBp z1`bm2z3)Hyo5;i(Hw?)fF2J z89YrlUX4KbDh)AD+Lk5)YCKPDAO9RnvZFc~$^;iE_UFz*?2M%uvf{>UIi&0#JJ659 z7jG)9W~r7quHb626l2`*+f9|~e{xX1qbQ`xF`;R^i>_o6CZce>o0iluyDPn!t4)LyobZE?# zV}T{pg2niq-D*@-qn^lCSH(%_;xxbz%_=y_zx@}Kb z=hics>15I*&rH4D`T|5s^1ARxkBywz7RW|Me#Ho12x75)O-*H;z? zTmXQm%x(u&KnX^J=$}UZ5+-FkNXl?agB<0Zjgy&SRT@xP$HD7ix0Z#hGX!^M8|LbZ zV|2OIgIXAEk#Q|PY)!BZ)!pda`WA|f_Gi)zJf;K0i`iR>taBY1aS2(k}!zu#~8$9?N-5jMVnK_6$hUdaBHgZ_-xHLzdpcvu7e!e+c* zS`yFQ{&CG6{P=H^KlI8VXE!n8D-hvY?U<+T#N+mgyZ|yRTDy|B)1Fr$Xo-TFE|Ck1oeH9dYgRWVLVJuYDb2j z>oL%jO?_%?a9@L7k))I$#Bc`8y$Av8)@s7IA2{jXI`a&ye2iD{f#UHI!UEO_Dd!f!o) zZ32!u8MK0&Xzhfp$0(4|*Fzq|LL{e^GY}C}Ax%rhK~p7TG3o-x*m#_&&1pnYm#PK^ zUzZ_J7eygvu?x`s&)BJ#9b0leoNoxq*C|+N1YzF+m6D0tq*PIgiKcbSCL$xWhhWz; zwA^#IjN%Mp3p3QAEEtHL0MVW#)Kwm{R>N+c4CehWJ!OwK#Qi9!d28MmdDOPQOlz72 zH(=TRX&t$7LNSXqwNsErGId!}Xvqq3vbLpJ@5T)nCJybTBOWSPOf21q=yreaNG)cu z?IvkW8!Ru_Fk6SY=C@_}R~2CggGr5hN`fA&w0w)~!h5`nBlFVm9wg12i`4Eydt+*= z;=b-yRV_wo#Xtan%(LIajAQEU=`k?+1bWtF5Emwci1_m?iRv7YU3TjFJ?5lchOfhA zWC~{cCrO67^0_0Z>9A^Wj(KWqYTaM(Y!5B?>tYV{ahx{8++9-jhVDq2$nuFO89L$} zuKr?CbH~x&b{)~Uelq`e)@P=+<^xsxalY6B3$9OA(TXhw)Jbtn{A^J!7p4YNGh9zr zqC|Y+b~3(o_pq&&i3-xKx5i6 z#F0W&)B0LFAW- zd2gQ~EK;Yghnm!{xiQFbFm^>WEmBx2<(NUsIu*9D6_D2-gdggKKYp^fs+pqK^5G-LoI$w;Zn9wsP( zLlyA_1-~877n5o$h_D5SIq_4Un*z+66Wy=Bh?tuowQkO%cnVpGNM<2qnD?|(`OnZf zq#sl}q-GAVWgo+9qMvbCS>lLsh@MAGFqhpboX5(&U8a=zR@}$jakPiFHe@6D-h92Y)efC_XWoe(M5C+hS3&)HcL$Rs1VRPH?pIcpvD7pRor#f= z%xA*;{Tqflt*+QCbwv_rTg8{@_EKDcC0tTAl+>?O=Z*f1&$y)Q`jfHeMqRA|ey6pi z1a3WD-peuyYI&VjDN7$uQOF0Jf3q8;aE{pCm^fx-|6GJhcP7JH& zf-h9nQf(z(Z30W)MwrBn?|GYEDgpjWj=rsp$!oM8S4F36WwXnl%5m_;q@-)S z^%CbCt!dq8+i7inV55s$I#2(TNK0cfM6&94&gv{AiuAL+F^_~f039A2rO7;xE4~*T z|CxxThuwD{`DCR$ACChS>8KiK#Vx=tg9qQ^r;uQpb)1mVO)@bG3-SlSOvFvyBa;I{ z&?g~sid>o;N3!{aFwwSnPO*Xh#{3Ss>fBCX6v>*LarGLsW_^w3JRc0yhl-**v&Zu> zmMoryx}oZ5ij#~B!N1U+!SgvZGC(saE?&tlR9j+6j*Fs?%xR6!^VfI6~qSsH0Eg47zI0g+^h9iNgHeTVX&JIzyG&?Lh$;w2B` zTJDIAFKw)3dx3t?9(J9)sT0yIw~}$B!q&-3fFmt+h2(eB3R#fUy!E=!@s^DkiJa36MA@w^RrGpbJ#42{eb~?kLfO#eY@mG35%6*k(M!ttGD4++UK zOAWC`qqN$icF_%&Q66KxhQ8l$3j1QfZLx)F;*#~xiP%%m( zp&il~(Rl(;yGDD+$mQU54#CfSUedIwTG!Fb;Bk~ny#vU8e9RAc50T93p&R=V@ykxF zhVD(ztFN}|HsY|0^(DccUBvK?>`!aEZyY_G5Mmu}lc36heT4Pkg1gxB-G|ygxpXub zlZ#i&KG;*jpW*VCmfj!E);GRbpC^zZvlB9C zo8rfAYnY<Q#mo`^EFG~h!2;ik?e@#uWJQ4(~Y^}&;@Bo6xpL`GIIvA|G`+g8duz; z#@Ko4T^-NId&-zBSX~YH{HuiTcTt>ykYt%jk<=kRD6- zxVjdc6%R??uEQ*=?*dqL=hcG@p$p#@2n@&b8z@} z`%-aSLl4D1TtmvSfvY~=zse*5gP}ZkiND>Kg^d%`+~0r0G8%7J$%RYq`IJSQ|Excd zh3%K1EEjPwWF|0Z$P3(pj(10O_7_z^LGUROOgge7Vq&q0wA8?q5D+g`9?*8~f6s}K z{Qy5ZmDr(#mUmaEfQ<%jQ` zQJyKOZUfeAiD6Qb2Vj#mc@hZhCzcNq*o8JI>ZWQR5x0WA>hqd2T!34gg$8Oxp3cO6 zlWKLf<>~&`BsUK*JnoQTpOV9pMQ8MQ8EF80GdyMHRi~#MOR%mt9U=`bQ>i6=xi~!v zwdBV`?F+6m2=Fo`AmVw<){@=T{0nn}{~L*NO2>J{yv)xAD{XW!CCIYa+3&zMefqsP zg1}s(GxxS1b)2YLvpKQmN*yonhAVz9BScic${r-963TMZOZx0AES5i?-K#LtLu_HI z2^pypb8dij>Yv=Bq)vSo$}Lyyfs3ay4O>F+lLhC%v8A2!@mWJN6T& z^qDJI21l{;0f=`%NugdkxF_=pW^+m_PTk$UqYc`lIfkbYMu(|rdl%6447uQILP zgBl&YLGb1)%(PepoJ|WOK&uzEvt*y>`Sv8o|IHaaif%P5EnKW`-iN=IR_?S^yN{^d zk%_HA!6;X2lHASx%CG43-LSl+!;UpclU`rGj?ZO{B(3benBMOo-u3ZM*yRRs?ZNnW zb<*%r+?6G{xXV2xi`hNBmy(u_+8a`SV$Nt9D34f_B6C%!G{-zLch)Wawd!QvOMh`j z^qW-jQg8X`->STu5lU-lDcGAQ`aool_5T@mRjxU1*6PmBw@Cj|lKASz_W&39ecIOF zou$R0?_u>=yk)$WGt%O~9cmUyNH83ui#^oRJ!zBNrJLa$4@`Mp?BNk$1mBeXe8;^P z@{4tkFC;Gf)VuzVZ0K7j&d}=jRf~MMO-R+jH5X#11YIcNxibWB+d5py1DvZP%B4OY z-;EzjUtj7XPVd5n(QT(|*Um6nPhOtTSESTAQfhrZ^1n5{Y5CNkx2#pNA^Ncf)Ln|Z zO>;k68oNhYlnLcx$CAgZ)5b`ZT%>OMfh?!B`&p)iA=8;Nj9+;R zyVmP?GW5L%tlYy_UmozkM(|HZdCUzBf*nwo0$|hXy|;uXP4_1;+<`FcbkclvbjFOw zKf^5!pH+lbY}0la2(;Iw^<3*R6awaB(vMoN1D^u_=B_1(TbERo z*L?D^Yc-N+u)UK@lHbYnQL|cnM_ZxxVM<3HX|#_R6nhqz(Bqk;P&Fh=ZY9YPQ_os! zH=rA;IyZc#EIjX%)B?8!j`LqB+R#~8D6pYf<>IUwXQM}iiKVexy(O&%cz$mtNQ*A7 z`4;mn9gp`CvYtsIq%DcogfCTv%c3q5yGOe5b}+g(_aah@MQLa^*; z0*}pCDYstjwg<(F+RhnjP5Bo40;meJDZQTHdy<1x+*4{#q1@gKW`Zbi+4&0|$PK!8 zpj@1~;f6{w@c<<(LIQ{%?bQ7P0gQPzBlLi}sbNfPFS6F(6JuhnUMV&wjc#zuLi@^B zYf%bYga+_xhplIrFbXr~WW9KtNbW=F>B?9|&9n>DxL%x*b#ab&4}MIhmGxkOMBpi! zi$$lC3AGMzS~Yo0zujT#i0*xoh+rrwK?Lk}|OWzlTKBtR9d!*(K?Art33h|!+mBod7V|;y-fTScTt=mZW zWxExAaTBtyp8t3qTA(gFe=Bw30&62;T83XYl&^1qITI#ak}xVfY~Nk>H=tzV2Meao z{$KDUF<~2aPjlOgub9yd=U%`l)W9fAUo!PFhQNYzdZWZaUs-lal)^?FF7r~Pv`yEk zQTw|)vdWBE2-enqZmje@JXbW=liy9~!!U?aSc$Z_j-G;6pPA!0Qw36_e&YeoP89;SLv*$%p!GjTmHtkrmk|IBCTt|RwlEE6&i zmI<)~sA3fM*;U_Wa&*t9|Kw$z zT;b#3sq#AO24?XaVl$$jvi!lPFW0Y}uLkX#6?_C&PJ3T+i~#Y(PJRrRIr?~N%L>i* zC8?G|%bDqZAYOTaFwB7?(cdE-^1b~2DBYuj4~sWSn77CB%cDp3C%#HvYiYmdrwLT1|{NRofZ%T<#(39bFOq*#8(wwDaUflJDJ3(ORZ^?bfsL zGctgXw`0F>O3FR(x0gh!<*PtFcXn>tz-MQEURwtaR0;DvB>EkD(_8QyYN|sm>V_7M z=t|CSmqAmKArD@O?bjc0+J_4hI@Jc3p^A^h114!nXABJ;%c@$0J2tYuUC+k=PdgFx zJc&TzVa*j%$2HKT^=mMc+;f$wd5Cq~*wKAemf5>kC|C*XIa8h8#TX0LZ!h`@*-7kp zh$&pv-KX#Kf2iMAb-GLr04Cs&Xii$BMBgFzIvsB%3Subn7aLM-72|K3&vS{d2CPpiV>{=Og;Fh}c>lXH6W~%PM9oXRPLG7c?yY%hu%*V=XzxpB?oCTP{=Rob7 zSR3~GJj}k|9P`QTmW}sVoQV>Z>F)EFe z&wOcv(v&(kT=}%X{)TB}9c%XG&WEEiXk!<%pIc_oplsaeA-42pqa?puwur-f06(;J zDo>N1(3s-bCu>>Qib0h+l-YdeTO#9E)w-i^pLu@>G@zgp36ux%L`s8G{Z!sKL|0xB z!ziQyz?fvuYg1t~`ozhSAP^(A@t<_J#g&_3y^ zAGMaS-6|*=G3J=;^D*pYp|etVtNn;YbMlVMf<9?S1|-Su@pG0C%=(OR!5nZ(TsKSubVc)@gVW2-srjOE`UVr``~;?^@Ez! zfWeiaP9Jt$cFPklT(foL4R$XTs>nliT(zg#Kfi=euxe}1=g-P82O`vH$T*JZKKl06 zG<)^{!s8u#*!x~S7%bTa++JA+Y%Gn#R7^$)7;RvTrkH?f=~4du^#GX=mv-nhH(C+e zWxqRCnv7=9xi2jE70L0!O$ejfIGT`2oIR8i4_p?W$j*~tl?tyCc3oY#QsgZu|oJxV32>HaBnB=A~$>FAN9m zBBna-ToGwzL+K>-wjlFPI(qi|+i2fIeL{OS)p5RY*hcDA$|qLOLPZ!C2A~c<9r*rZ z@o<-OIeKr^GmYfNEPNJWP>a);y5!IO1lPW%`-(lN$ohOQbC-p$Ma2>*N^4s3h!YSl z?W~6468lPlLa9T3a4IWOSl#M^&B?VD|__IG*G4(s-;AOQ(X5lg)iQvd)bX?ks-ky#G*r9 zx3{hpDQk)EcJAda8C##S@4+{w$)7evlf76tf?8)1{^(q~22{Rk4!0Nqohq$-A%4UX zvsLpWsKv9pZzJtAJ#`IDZSaG30&PF}91!@~2`CNbt(v)EN?^mb0Q4-v`>*zPlj|$M z-A;s3FS!JEe|5Yu%eSr}a3&LN&dWO(Tdk+6+le5Vh?+Bgc&4-_t^3@gJz5KGQk_r1 z+%yr|YFfB9bGSd2;eYJ;BjC?BCl06y5<{}GOh8wHJ?eFoVTGtk8GEjW6qzT=)Xx@K zB|Y$Yz=^*l_=r&cbr3}DF~$K&#TKd^Um+BX^{7&BdDii$OO}GyE;A>j@>_?w5aEo( zL1lN82&eI#WZ0H0aDp3cA7oKKbZ^95+Z*_fCn|TjhO)BfiEdSDF^Q%_5wCfL_8pdv zhp2e|I~zLLYuw`b>)sd>9Gp7IVhwP4b*c}GNl;FD9jn)wJoC?*7Od>?W9}mL+O10T zNe^EjexgWE+;jXrmtG$_tn&(ynUK=0E{sz?P`uMH6s64<0olHmWSpwpEW ztvgh{bb$5*3tEeCc~E;ofYP$Wa}SLxXg08*S zxaq=GdG^v=IKH!HaeASSXi$@bto`k}m)9PNDyvh!ZVjEiB7eXCgM92Lx@Oe58p;If z)Sm4Ww&0PdH&PQ#+EUMBB=2=yZRI%28OXi)=kgwPZqt z3yU5>pucdAJ`c7%?5-16vn5X*&~d(vTNL1f0!-LV_bF9&p@nFzuGrZMf(B3<{d&zm2^1 zB%L$i6_A;)?%`pWHnGInf&H8_mQzE=vPj5QMvKr*2an<0E*nOw&cM2cXT!0I%Ncf_ z#UIBp)C~H38tK6gb*4BiFnrSdeNiq%WqG%4=0^Bv0q-%*mtB`5%?8a-B} zzWi&L)*lrvqZF*UH5xb_lEso?j>R(_?t-Pg`Nvh+ee<{H(BtoXa*X#KlWOyLD*$q0 zm+vCTmE23gLaabcxtVlh-a&cY{M#Aq*Y>K#F z3HDCo_x6fQ=FUd->i1STreUqiyC2p^qWT;YP!fOq!7^ENPB?#;5->eu$g!oeI|9}W zn%(w-}Ed~@iVuG!o zGWOw(7mr|Co~a^uNjz@<35O0L<&GOZUbtLBWai51plZh}btdFQ&7_Snxg=lW#iDco zduO5H#kK}&*&XLHobIdtSz|trW|1bJ?A{gc70o03MwMrszUNNOrIE(-Z;Ejfx69FK zD|@E4LE&}&E-6`qikY@>)XEwzBelmX{>2MX3ApvP#OFE`ALiTY%-2_vVYIBH+OAqe zoanNp_y4p0IXV5$?};=63}xHOB&zen-5u1*0z)W7?Z2eYkz4pjTC9Lm`r9Cr+Z8Ur zDj+5;b4`g~t}C#VUzN5l^naA~u5;tW*Up>s-##FGIM*zh7D=bYA*5~@ejc%rY?dzw zTbkhy4^{Z}<-S;RYI0brH$Q%GAeI8FegK_%F+8c_z7vvVlzJYa)t;h)n}ys5FuNF^ zJv+@rk==!pFm;i_pv0`hY@=!T+^rF6-F^E{gR)ol^T<;V6dW6R96Gem{d(vXeNFt$ zd7c^i9-o>^RW#NGEecGh_+mohr$pnEkYe4cs|v>m;PP{^m6xlA%W~S|#R$|aBvdy0 znZEgD58K%D?6So~%O~!?Y^0VLTn~l}NI4|M-c`@oSj<=U)baxPkq?J%$D^p!2V6ey z<*UIB|&~4iI9{FbYovg|FfD-W`BUcGeiZA(^JHa_5;3G=PZ%U z27l6ODil$J{k!}j~nHwb(j4}AeKXFHN( z6ORMFXHHPRdh{`Jrm>6V3n_w4h7&^cjGkGpTkr;&Lg~(6)_j=*D^wTd-Uct11z?kH zo&K6KN&3Csj=0xAcy9Ca7F`FZHEXP`TB`TbYru%xlQ#PzdY6|5uAa?LaSJ^}gbEkC z4u8>sa$s0C&sMxf@*bvQmoNamI@)<-zJN70zTYH9q(jhy%j)cZ39>BFR ze%n!PAd8N$)p05M%?j2r4u40>KI-~5kWNG>B5eZ#R$H$=_Wzk(C``CgJ$?gZgTw7n zCoYscLrf#a1l8HYC(?BL&oR$`N1U{qxqO|Bne=s}geUSy@bO8;4)x(Ji{J&pE`I^# zF?kI}UGe5X+Jgq^dk&SmI|(aZD)Zqj1+LI>oP_6!hqu;bWND0I)!#afcPc@ z=3mlkYEHbvee8)SPbQs358eRWo#)95|q`55I0yMzsC31ujO>xx7rY_t+3u? zeDSM-`^H4$N z#U2Z*kKbe0z%2t)1_nT#J`df-F+ro^4YN0_j|?M)Vt9SVE|V#*Wt-M4{v zW0nt`CQKQ$n8{)eS@xuKfD&aNx6+X7sTOZ=-8`#)!yRlzQQ5*ZgZ9VW;Zx0-E_rS0 zFOOLveXdKopKdO?u{ipv`%Si}7JC=cD*g)FnxsA|eRi@$AP${gVLgL-lTWbVzU(JZ zZMZbKGHDSZUeSE4>YonYRXG}%vo%PM7Hss}_&ywkRVu0JmmB8=zvK;LgpI>DJk>Nf zjZWUYW)vxdkga~P>&tmKVXX30La*lBfajWlMuTm6KKDT)Ure* zV6J6MnT*l*UplYTy9zo~v!5EAp0QH{<>^H3WtVHFGEXAd?Y;t#i$VC$RB zSgn2_j+s43dcFh_%^EUW?1l1Z9*rXP8;;+y{Q2|l&@$9~jg>Y&3}PSbV3Kt2T5>tolVX&PUG_|{f((ndwCpP)2I-A?mYEb3}3F;eDF4UtwWcpHpUvWo+^H4 zeS0}NR29O7m>!d)Re?fmTo}Hg7LTb3OXOp|51X1mW^siA?B!2RC?(J%j2kITPtJ>~ z))NJVszAoU0f*qo(>$Y`yq9;NWL}~cu@sh^k>R=D^FTP>7r5P=`8i}tFCh^GHRyspGuC}ebounfr&z<__rACmB(_?+*EtxS}M^D z;d8#gZD~i0w1jlBhp5j@sNu4d_p?BaRA;)fQ{H0CmUzEK7Th)6K`@hq5J2ZCG0RKg z&(t8Rd9rle-Z#3QtO$?wq1X9{l;+7@xCPzlpfW&R4xZBEf$Ra+*5)(Q!%~{UyO2tl zmL+C9Ij786oI)F+~5`QvNflyqP`1{20%* zS(=CHkIleG9n#63Ga3g_VzAq;CP~S-SK<_!Fp2~iRRicZU!kUdJzmt@AQlhQL?F#R zK274SKBXGO*q=}KN8^jMe_x#wiGobrbY2(9Y|jq586p2}%{actvFOVF?3xQKO!_Dn(oYcV+2o{|Az>sj{kmY!z@QWY0vc^>_Zmq063B+$mX z-)o?$mcHKofKU2(zF?+j5$u9+=>19*uPfxmlFGkc9(YXNYgO-2=vg}c`#F$>9;e)P zVot&p56+*E=_%px=p z{FGvp5iiRL3mxJbxYL>Q?w0WsI?+H6_wM{}_a3RPbe{T&asjq34%KaR9}Z^FmfUh_ zOaJ%1|IfqE7t!LL9hC!DgQ`m^9V93ueyT1@C(raAE^rM#q$~IGHxgJ?p?Hj(XyYQo0WICpJOl; zQkLn4n z=b@_nZdL@ZNCJNzpR)dQ50MU^=CJ1J0a%xW zjz3g|0hW)wEX31gMvwNz_#W4;>@I~Z2~}^wF2WD*4$u8KNzS6Z8vtF$q>ms!y_?P# zz>}mwnw~lciD{|l0hufpsH=|y$X%_zvbzJE3T-=-)}0JLaFE$|Vj_8-fxp3y)U>q< zBqDA@xO0W~6<3Ck130BSh)bBmNNXF;RO|6#`1x(PvsyaW9dbdYpZn$#h)`5A@N|Sm zq7>f)C(yeNmK-T5O5H{&OFbcP8?%iPQDbxK;JenCA)c;SdLU-IFe&}I1_IA}UGtb> z)lyDC#Hd};s)8MgD^>_C&jQPY*zc=qmed0Gh-~rTCzO9H)a59<5v4sO*GGH7R}mE| zMt>5P`4jyo6)(XQXIHUgTlnQ|I1P2R^N8V1C36NXd_Vs&yT{uo9cIDTbe-UKolbo? zbrb&n%?hyRPbq#4MrqFN@?+4N;INsvj#?3M$G;v%>YObfYQX0b8~(O}u%(rP^2{-$ z*X6EkT8UNdtxUuVp$**Ta0ogY8?i0$FOP#9tTY|Eq1$nvZ#ImFzUC8P_uW;w1K-`~ zO-065Uc0#Inz+4&!{LNwMrkeoYSh_OPt6z!H zy!1R*1nHnfyz~)kk0*(6I=E|u-$2To?cirI`lfOR7z*7b9WQ-XaaI@}BJS`M`#;o=5(Cii;7vM<2`7 z(8`Rq#Z~XRUPl>Ipy!Fg&;jkWf-DZ+vBfg`r~k3JJi#QNW}?%Fp*a@^)b`{Y?C>!F8h!z#>^Km{5pk!A(?> z7xe83sgXV%H-(OCQso#I3a+&5`-eNszxdDm`;SqUbS0`!sYUr;{>|^?-{16?t&2C` z-TRV}MBT*yW%Ke+FQ|WhmYeoAhU?D7Y4F8HhC{|;#$UIwFITO+<82*e=b{oogtFm>Z52NK6l(uXi{ zIzInBuid#5S_Yo^v)=Rv3wgxEBMHw602~s5&-gjU7AOO<2o2@`u=kd6S*_jnup$Tu z3W9>zwgKQ z!}+p*ZdrJ*`&!q!=A2`WG3Jk%J#Emc&c37ayYtWzh*Ib4iK%bjvOPU`dkL)BOQH871q=_~xpeNAh%OZ@Tb?88s+ODAgBrj=Ce zPeM$69eqZoFi1 zNU+_27LS^{#7X4%VSN;k3k<$ryl+dZTYU+=_a?5Bcd8Fh%^cC6I%*^|7`=`uXpa_!6%;v4p!U(U5A;__VHq+R=64QPdj{dUHWPS2)^h zCEDqYZZ{6UWPRIBi08!foxP#SF-|7$uS9tY+TeFyiGeMAhh7SXIh@MJGx1UuLT|jBIEw(RM2S8mR(ms{ zYCS>TiQ|Cq`}XG_40gB~fS%M0CXhwvB+P>9?j9g+VO<=w=>NwTmWF#7dDO&`4sN*y zg$6k|$fBB~Kl94D=caxUPM(@Wpop`dtezYRw5XiDgvG(&0mL9oqGj0Lh|bxv-5l6) z?QV$=K+(x*jeq`)*Cn3Dk2m;+Hdn{TZB*N<5t3ZqBmnt4Q9a+FePf6SeB@hF>c2|8 zKef~S`+Tc8xg00(?#j9#+|mt`a5iw&b-Z1J^`}yLPECnf*Cj?_Ua)-~1SJxJ^6ux~ zfKwEPi1O7P1o=O@FigRr`lKgvKiW$Ip~xcCpWYED=?wt=+|n{3hlaw*rH`}(|9TYg za0?M1eFmYd7wGWLkbVitxs0s94Ae+U?H?JCYU|47mmpkxD8_%4+M))_&IulZX%)ac zjs2#+o;fm)en~aoR?pLWe5*$+t-^3=#x9l zciv>JifAkzcYE+V4+!=c_2pEc(l_OZxO;~eWYI!h)YHFy4`l0sxdJL+VTvofZ_c#q zt4Qj}@0(4AR?t2aHOD&puiNjHfTg+%c5Zc2BVg}}kbuA*x_^fW+;=%8aM2_DVNlOK z-OQ&n;6rp34RPY^;&=z=lxEw`z@0RNfG4sCRG!|$MdfPx55-gkvqOMe=~D0vBmSML z`EBp-Eb+qRj9EA(?8U+nW6%6{o|X@RHmhZ*EOw+r(*~oJnGBVH^VCWcY4&^&kphMx z28vlHz=m!`B;gh?D+93#Qf+?&evA>oeR_uKHm2`~pN-l`Ct{L3-rk-5M9S@|r<^Pk zov}cL9CrE0!3wq-U%DBY8p6%`#q(jJY$UW{u5sfj^dnshgPK=o4Pd4ONBL5oT44#L`PeKUgtJz?Z%k6h%BIFf01Gv=}l5FdTe`dD`!4RM(T3 zKI_3ksdT@q10r{(UWkfIl>&32{BhhpVN-62`^anrM8>k^(j=6YhZ-CLTa(N=)5gy? zk6U#4LI@vZ8Frb6ksX^vZmQ2ac8(*Xc5kOi25XrYi>8}gY*QVk+o>FU`!}jUNdd1n zi7+@bpi)hJ?cKoynD(g)I0Fu@s?Fnp52f4UI}bq*!O0d%w9_Ish%yIkO^Q=WKdvK8 z0qakIL9yDlH3w8O$RgVr%^`g9C{ z-ka!IJ4oYtx@&-2PV{n&`9Ojpv)6hy+_311sIqs6#@y28iut!(5+`5RTPucgdlJLI zg)^3hnY9>JSz!n}azR4oj#dKype zLyRM!I_z2^*RalFB}h}I2tT`~L9k0*QiUIC!*qw^gO?>pl9&L=yu=iHAbA3OlY+)? zPj?H=5;n{1fm{lGP*WxRuOT_@3Oc`ZB=H4`nO2U#6R}t-mY?tUjg?0D&LJ=gMYKp` z=QH`6E`t>_-UA(dXp$Xw-4Y8Omf3OB35uePmB9OjV!wNicj&t0*V*@RmVqSl7B2#UW*Z%*e;X11Hhi7`svC4B@cZ zjjOYiK`}T~bGK}MLNtH}9Ca>L2}LP2r4r;}4Zf+&i&i?#L(go9us(?YiB%-tXO4tc ziH}ws=-{+tOA>fi>GgzT0Wa(2*pyq8vZ+f z!6$EXSc7$1KDi%G*RaHJI;H1iDf(jwUCPSvrDT+%y*9{gRQ;&QSa(%y)a1726D*XJ zNZUa43Uu8aJDH+N5DkC`)z^`MN24rKeS=TKBzl`#DhZXmYp(=<*`b%(SZM#6c2s*M z@ynhVU1;+rByLVC(cWIafoyx?P{5h`sX#xv4l-bAtruH)}obe&*o+ zqLez=yMV$cN{Y@5`wrwjf@hm1WUn9d`9O$puA5mO*n+m!xt7Pb|3FK7Ft93TGjtK` z^E%Luz73JRM*gH01v3tXSk&CdS?0rz8jeS}cijFdlt)7fbC^?(e$F z!j)JX9gGJU4Y8$%>n)kiQD8&SKcpiRin_5?IHW(ysnh!jK$ijYA zhCAVkNuJY60%X?hrsnrD{Zp!I#U*LSD&;MExs4?fZM5V~v`~{*MPG$TJdf_#w}Pgu zK-;SOiE|G!@zQGvgYC4JZceR@dNv!%-6Wq7{pu~+VXZO7r7Gn@5R^s+NUdY${DYBz) zR~ZYGKh60duX^?(S2MZC?56WmdSsKYUB=q4OA%$JivqHc2bDrW(J;6{F5mrnSrng$ zA3byZ3Ymn6>9Vn{N-F310Z8gX5S^#IfwX|CB^w4?1dm-BZRVv~H*>mj+f~o+N%JId zDgY@7V@!BW=*vV6u2i-$5lF}9OCO=e$U%mP=hA z0e^CG_j~@IaN3(gAd+JYC119{n0rghl9`^gbvRUDO!%@5Y%X{gmc7(0N~u|o5JC&> zd-DU}0u=|5SQ(=@%+mcmX8N&u*_Wy{;|Y+7tu@wHqMnH?*c}1g_*xjh5&9R`>VlZ; z9IcN-_Pz*T;z-6=-ZXH?cw{*4a%Zp~rPQJdG=_~OVPuQXk{jf?Xedd4#MqeDbrO@3 z30iA*KK=I8r-vv~vuQ#87COLp^lhpOJnf}%kkfQU7IWXrf@DcJ?k*NEf9;~8Ug#3T$1z-{Pb;pFlbzS3eVY{(di+Ed z^9vl(m=pyFp~B*@qxP&Gx*wbtLk|py(Gs(#Pl>yaf)u8$VI}yO5=+ z%5cvF5oHpla&i}D(f(I{*-4@P1@^Hf?M;{|P4@aJvV&E9PzND7`~mxpo0w{+xy=$?!Z9qEYO*5d7q|;+dBx>!H6$!o}bX-^Xtav(uzC{>+@*R@u^N5n0=Dp7N$RC9aw$4X?o!j zFI7Ear`x5F8hk#tt2gb9a`{)u`$I-l@|J=Ti07GSe(x30OA%f1V#JC0R2NJIewN29 zgXIEm!_1|;U6-q(L*c+QVDGgJ*68U#&W4G&d2y@9{5}y93d{KdDSmHpuRp(VNqqwn zWhWWa59-pA`;hf@M}!pHq55Ms$o_28GiL>0MO)r?Qfx9%?S>&!8scC|14GK~BbP1; z_4WujG1_uNS#Eji!MJn*8-6K{2hDxICpN=h282^< zdT|(uKpL^N0jR=pDv$?@gidjx@`5S0x8_%tQLkF)h+n&6UiZchOPB?V>r0pBjHl@3 z^BC1$IXOwHPuOgL8SCKsEf)oD?{)L|Gtl<2u@ss1? z;8ldZazXw>1Pmw%Y3}Dy4qHhyBXRH)b*-w6SyP2XK)~lsp|G^h2c7%JUyo{S%Vxp9 zFaKB})OzCh7p*|9EsfZN|9V{?L2mH*SerZg^;TuGhVmjWas+PeSG_sbPNns?!8bC4 zY?8G6I0uGOG-92V_Sl0w@2(|DGvG(f5mjuL8_3gm8Y{uCq7Yvo9`ie z`owEdhhQ97IumVz6Y(-A?9L~p-(y?65(u=KtZkw%1A8q7w78KM`uShHnE9*Wv)4|)Zx|{;pX;M$LRc7+Ql`-;{o@hP^1QuPV9({Ijd0)wR2s! zJ?53zJAalX;vVVv6?zt=fi z-w)##?)}t0=f2%<1w-r6qV+xAYxv8F5mQe-x=6~o2T`qr5qJFR043%eOrp5#Cil>A zrTWCJr74+?LO*nQsh^lhm4aEKvw*gGzc0HrF;r7ENS&%_WD=1nz@W-F&cc)jng`ZX z#-lA7_Jeh}*V%rUfwoPQ{B;~1EkmDM;)1>`=fHef%C`=h`7#*z86LMSVw$Qzy12!N zc;5EUTln6J1~PwP(hTH%W>$Ie|I3(-#ClMAwWc7>Z3gr zxCW9io#D-KT&P$t)xOsxY$WgeNvRF|8lj)Oc8?zeR*Z}PSr-{3kC+)f{t;na9rZEK zK=qb4byR8+E*){LrpeKzT1bJoSQ(@-(v2AcFGR%LUFihBgc`;p6!Uo+`bP-1uv|8prRmK;93%tLkE}$QM({_PX@J%2W?oKX~bB7QFo0+5F~ zO>9|-&`gS}x^DHIOYV&V@pU-JI#qf&ztZ1Hn4}yr%WsqFWYI>(ZP*~mQTX+1#P?JO zG*)4fMNXHvh&vY|IOCi}TikYC0jU7mz*pR_D!?=c8rqrV0_6?=4$p5@2)(9Ya*at@CVRVR7CGwI4 z`Fug9LPUvjjgJ5>c+cVJDGwYO7-$g^>oE5qWuYArnN(B-oqIy1T}#IA5zhGpD7a(- zZZ0Wx`|Fxo+n7j5(W-Xyh_6Bv?79!|J=c*z1Z`jeWiIMVqR;Vl9^CzLqpa`FtJYCZ zQYutMJnf+<@Qz(#yqb{6kX?~?=Y5jskU^yRhbh$MTrg6=922G52RY~{1S9cG1}n%~ z%j2Vt09@lbu--+-kftLcQWzKd(%YCHx2f{6$2O9L`#RC4x)FJGTxYs+_TTvn$@P>} zW6sKXS+{jUMC_0cqB0D>E4}lz@J|nnShp~Fm`bPlwHyiFeCqKS{ZCkC27LTub;JUm zH-Pjdo)?kQhJG*}Stf$Y&qaFxW}8*zWFvW~T&85A%vrW_X~JH>Avb+ejfK9C+v z-J&j(i6NtYOW{^B^QfmFOvrTC(IV{kHy~V+ynG8sM9n)$!Gj}IZDDrFeQ3Eblqt!- zFyYW5(TR24#;(YWVn-=)-4En_jK!Q|#QqXlr zlsm%nA^!I`Ta{0MIUN)2pF3yFZ=?{rSq*2jqDH~(*t*k-(c!nO`+i_46tHawi_$j$ zTwO_pmlf5fV(pdQ&pcBH6~x2rY4ktu7yfUUtOO9;!CiR4yf-m@zX)8*@RfMJfJcJD zoZiG_kh^Fc`36`*2C0vm&z{B7^Lqt(3HRPtl0^rz!2xna8W!XO8BXrk0_}1h$^Bau z;a>f|;4eWn%~AI;>K-y`lU-5!$sici)zm*0yO;By{Opd#CfA5b`3G!uS4hSj&x%Zmmxw#TQk2 z^RHh?AoM-6{pnC)5AoWIU$8sWfdpbl%<8`gU(E=bPb4RT4bgu3t3V07xqmNgH$}!H zmIQNVH1mjbuAuWsT5XRtPpx?AZH~X#3}c_s9ap(kJTULLSG`-u!q}h;W>2jkFJ5^3 zm1QYXUm;L~Rk|aUWs{Rc=2FHTnGAqJ2d$R|9ZQNqhEci){T3w-5_x%>=G2r0qWgn- zgr*8p;08Yu%5#9I>Gn>RM=_%q6~pgOcvAbkx|8=>K+kk zDD#V8uz%40k%M-Nz%Dq)GX+as@Cml(>)?;*O?NDXSbnc%7e+)>jk5ExbF#ZS$7~#o z4)^sbCNJ_TYH(`2s7&651Ev2Um5d8Odmkvvi%X!9H}}j}Pt@M|lJLO~2zGk8kSG*? zis{{1khpiY6}kIqYeMwaYS_ue({syI8+^RKJ_~z)Z2vS5&M+_i%yQ93Aw(Rp5h7hC zmhP*@A%Q-ZN1MevR#5k}1pH*rYcT6=b&IS+m9M;%*TOt)QUA!57}O<^dF7ox%wp=!+G9qiTQx36$(7jmNu1I~ER5&Q&~9v{GrOr<1cixkR= zP)Y=>>6n;v@U8NETERx3e3;Q@c{kg2*_539xQuhYw8PcH3RDda2PI^&%p7GZGkDW_ zes(yQ_*We}7`orgy<~gzR-;tTEsRnuMxeBnt>vS2yCIDL2nov0E5wGIOuZ%8(c1oe%=EQU&sOa7F)(OZWV=)^P3hY=#AM6Q>8Y}3_Mq16Y(U(+5!>0& zXV2eHrE486rc?!f-;?TfSo_G{eutoONnr)5@u?`AcDm~O;3c|rjjYvW!MZ^QZ z{bg8|GiTAz7t!4C`Z??Qmv$z8+rz4CuQ})BOCCI{#yq-VHcnd+tBHp8y2sSnl<6#5 zAmisajl4V_J45d7G{&;|uXTXUXx+ZX`LwA3+azJQPKXg+E*pQ!hj~?^^e`buXVBH4 z*y48j9^pG47`EvHy7(fJz8+IgOKirE3huJOoLq9pDIM&a>t^4&g3z78^|XX-*p6dE z`d0xs7ziQpCv;TJZ>BuZZWuO#4;Utuhj7=Cd4qXUHJ4(L(ge2($(juF# z3f+ntmh?12MgsZI3EDS*Y;&L%>VqNQIZJNE3)?ci4tLM~M#m0Z2xpdiK>lFSyoo=E z*?6O}apS_(zu&x?ml%gP$g(F++E#Za8vWex_W8KhHM<=zRAZiW)UAGNKX{w##l+gt zGy1%3^yvA;?d>ie_|*b*&}GHk>gbWEe_BQ?y%XP5pbC#mwMQz{gO{CAMGcvYJ-Do! z7p|mkRcCb{lG|05bJ(c@V@)X%m3yI#d6Q`GrZsob6@G(CFGS_dpy7H(1-cl4xCQ_l zAHdeg1}%guR}oRo)xp$1h4U}gKi29I)4U6%sKvf8H~2<(P;^0*!($vVanE=#o@p!1 ztxjA`INbd{mG5kg%rIZa<4lLrh-t|@xj>KbRlzDP?4L3Q;VG+A08gpk5Z-WYtVZl5 zaq*SMHvskD({0|3ks@um_19~cl>BPktHaEp8Z$QcnnmO4w@KTWy;kHnI=bO9d!TK! zkBx;dQ*EAA_tyzl!*OMvQ;_STF-JJ^*8bU}=a?pTCInw-`cknPoYnZ~7vBEyUqAZ~ zf0*Szd$zXpMWl-EfBh5x_hq_7_>^Sq(but&qx0WC?cXkKb%kTWX8c}${lER?|8;#m zBc&jh0S`OD|NIZ(haI4!W6f2W8~Fay=Y3Ssj!BMT){PnduPPJ0&aVItv=V}KYjB*s}=!|-%M4(^`EZUe+IYx>As&L)&ICd@F_bBUY*hD z`MUUz*EGOwyH;3bko?=O{_mgck%WPc6-lH>@lV(A!)-53`|9@nr)B=L|NcMjfHOK2 zFUZnG|EJ9lD-~x9&m>8tPwbzr`2@H9zgy{lx6=P^rT;yZ{{M6;&7!95^8dsD4^a$6 z_ecaqszpJ2X=$Dak&2#$rYlNDdkBXYc#m~pZgp>&oc+vB8fPQwvy*()tsuc|kNfA0e$ z?Au(sznr&?Dr4Kv<$u~WxhcpMy>rH#0^LKsv&|Qeg5Nw<$f&(!*z#xOjq48N^w)4b z7R&GI&SsyF7n(M!%N#bl+fLHTPmXR4gM!DYlZ55P%%)rXt}v2cZh~|IpOO_Ht?U~4 zyS9|e|2>%edkk?RgqYFRr0`GIoPP-UJtY{$|A~+P=}FE@Lp;1sEB{Yn9OyP@YdwB` zBoX?jm~kI28jF$=`G;$?Dd8((K4&*U|M&0m-)_re3@&oEVY~WI*LdJVruV;#^#8U< zVJ|3Ezx=h4;yz)(EZ*XbUaW(uGMy$Xk7=V75L_~I z=U>I-zwfXxGI+*KRz+8k?D5(Y4=}SWL3g*$xxs?S>KOCuB@UAoO@bUvWUQ5=Q&vZGp}YKlLy5j>}mzvktjg=q9V5h5cw8E z(%Eo6#}XHL^K6pO%WKu3bC|j32sp78KXFRxHp1v+Lf9O)hF7>d9A#8?Hez-vOu97x zk7_XPtOpoMr6{(*HXb6m_gB#&$^g}+>fIhfWY?~-oUF5mcskN$JN2c1IETlZLskW3 zQy*ZfWN<-K#0SCl$&`dkB68MWrZ;_lt@CKeS^&$NdAOUTOP_MI+GUnKmJXrCu)S1?W&GBgSu~X9;@1&5 zwwd%C+`m)ZM|vz71@@X`i2$!-%ri$kJ#oWdvm)B4c_zuU^V+q0mX=322|x!VE9hYeqm#9AvspF0`Roe z{fdZI2iSDPh}py53m}GOq>*iJ;b`qXTmuS+i(lL`*Cg~-x8GhAK_>)v4%;27dQ`Lb zZLhll!}$Xab4i@5?H<2*mV5sVvSkkWkU{`)9JVBKmXigJjQ3WZ#}72EfcAZ*@_5%7 z^e!KO&4)_dfhXH(yq39z3nj&F|AJEcv`?dqJT4NIFDT@BvRL0LLHFg%;)|hM0De_TkhQTzpi~I#S7q!+LEaM z4GI>4=aDE>%r>p_KKu_0O2r^tzj=B4D{*DY2+@}DTT+X(n0>bTeAzzKUEU+~_2?2H zOSV*-S~IHZ`f@t)5c%Hb99aW;8U+*56bT(qM2^*w2A{5?n+=^ATFyfc2m6t$Qg1G)IaY%y`Kru#~~NG4h|Pb?9`0VZeqLLj#y(3@y6n?`)mM2;@ar_I2QIZ-vJ zHi#w5x}9SSlWeZ+`Sr4V)QeFkYkIRc!ibnl+GoHN$% z?)12S4HG`BXieo>s^E})`B~1TRxoH8|n%{_bL)$d_K7@>DIxL zv~gEyl?rJ?7m$8zr)tOU;!}H7QTb_tSMTKgGO_Dt9~vg-fw@}}-O z`z|nDs;u2*KAqnhJ1@#0FQECWJ_d%9r|!bI^40Zcj-X~JaIzP#Xyj)b+wYp3Y5kw{dzXNqgkE!{Zz#sC+gEZv~laN zlx6y|xHet5o}wjdxKU}z5ir~Gb`e*=Je)S()htcs%FXU6VT%1H;oQ$gF-n2GLmYcB zGS|FRtGAW-pj$7nSCYAgHqfFZAmiKigm%pRFiN3*I^r7W#FyPtaV&kQrH_-?Zfmz6 zF;I~-{bqHfG~8(;n~!t_`3$w#nGJtW_pOdVrr=jPdGs4zEJB{}R4Q#o_QENDC|9iq zPey3kqav8KPDil2Wg1TRGTH+`l<%&N!4rI{A}^gCQ4k%GI>J#bvwvmZV`v%kJ~fs-Jp@D z(ZDLk#AKJPpQ)8Vo5jwc#wiI6&`%nkgl{z~-EW09wilE1>$!}dMzp8b9hc;@daI6KJ0?csU{a z|3Q|_(4P1GiZ4qRW%8D+>@!nles4=XZWFha>C?d2TUTmYlh`zt@4qLoe;r2qlyWl{ zU}E+R=~2zC#@KemOpCEJcxeV%Qwg`j-ccB>Qr?(x4yh&uU0>z8L57J-@j$AHaPih% zx8E51YZU}rN$qldM7El#w=1^kKifQV>*(|H3f}>=ezovI&uO*fA&1?%vH5231SM~* zkRKj~BqmAuHE1}DtPL1hA6wYb9e`)YZ3GmD?R7`nXy)_Dre)~3iw=BBR}*l`kvWcy z`RM5Z%uC(AO34BHJ(*fZQ+90DRfjVy#HFY_`N#F0!(-b;UytKg+I#C$VkZU2F@j+Du&M_SnJ+37-Q2m>Xx)=K)BGvR$%tIoZN5H+>L)k}v-_q!UKG z4Bo{L5;R~=lQC!-U6idd{M4kbH_mLjeOW7d+A)r>GS6|=z~WMhL|LK~@%Peq(SmMe zq-`7G>AE6Sq)k$(n2}(Z*_pX&Q!2@GVD5+4wBB-e3TO>$pS2xh-aA60q?hVnF#vBGU0baT}u}qayMiaP!GD4vI;=Xye_k`#mLXAw)@~hOtjrS5EOeZfV49XO{8GY= z{#S`A#x5|skJ)NMEy8UG#fD;a?N(mOmZt|yYt|Q!&-()#(N{k2nEROKJA2QJXkdno zg?D4!blPpKkz>Z5q{Y;bu3!9$ecacxOT#qIXUVFWun`UHv~Vp+f4VZbLzA8`ya~PV z(!vrTuv8p6(}Wi^?MrL3RsyASfix&Bpjt955;x7tvF+~CYeJbjV$=-WbNx=K6f6Py z(WG=wyQ8fwcAMG+xit@`h^wzzFSYQ@tmYWPOqZ=i)$h^;Hyc*;IFoMUl$HJX9C;&+ zIo>9}UR-4|GuT9%vLOl55`Y>=Qp{Jfr~1u{!U|UF#Sg5jW0doPBYBHk%^`+{9^NR^ z8~@VrA@*SBIJa;@U#y+JJ8@1gh|>#Q*4$1;hl7evPG0VrhXZ>w1b*r6UNfWRe`5XHZ9h7vzrZ?@zQL+47ll( zrzO8Xqr-eSgEnDF{jJ9kUgi}WkThWGSpW&5negoKP4{VdbqGB~zA>rLMojv5J31s9H=eQj zsNO?wo+dJjM`q@{*S6X0do28+p$yA&dr8*F2(6)KM%>f#zyDGg@U)IMXH1sirC#He;GtOJ$6Xg(!{iu zEA8=pCS80J^?5})-F`MHX=H@ss>mzL6ej@;tOGa-Gif@QY^ELIujU;L($HS_sU}Ds zjOh6rYR^Rh>BS-F{wKxQx${NzEv(mP_DJP!p2kYu%bj)e&w5*hk-S|P9myowaEuxo zi|#MbXH_ORxA}YOmF~tqpiK|3V0~aW8I04mHKDx{mTfqqu;Jh&-I*Ta8}y(Zr6LnO zd%dINFi!HfMZ!8%ScZ+{C#4fg9cif@Cv_}tR^pbHP-ZZ!PG!sXm~(|=E}yMcf0x1h zTXBQBCGG~9ly{${(4$QGky^!=7vgMb6&QhgZZ5IEA(7> z>oxl8Zy~BTe0G7tExy4lrh^o z1dt03da&tzU|SKVp(V~7R_yRLG*0K>&DK8e_4erbWue#f49WcFF?7#ZNbnViGIl#u@JkZ#M@x?SA~YnNK5%F7`#K{#PQ43nrtLDcstRLyQ5zejsx>%OC-iw zH5i@zfd*MNe}^fWMV}Q-xT_+u%$D)u_l3OFV~rH|5N0XV43vP2Jmz^9(*rW9okHXL zcK1y~2A4}+`)o@iD|q~9#3SZD$mliMONR77?xo6qpRL23JoT5ie_C(3MSF=lN2Y|| z^!M=FCH`3igz9b5H@A)wQ=Rgd;khW9Z}V`WE%bBV$5f!6>+}cwS?J5+EPKbI)P!>e zb%PIYaj9Cp=Gn%B2FC(#El|V@h1Yh!}MRJ9!(@tO&beodA(01FFI~3b5Fptof6M@$#Gx@Q-=`@N67;h%MH;F+$k3`JqR{$8n11^u$n zfr*QJHg;7~dLOuHCWQgyxW`!Qzo_~Ay^g9smg6?jZ$i?uoayL`VVQ& z5CrPc)BcoWk?srRK^=U5v?RZ^b&nTTnyvJ>Vj5rvlOOfejT-Kv3a;a%Rs%>*#8^21hi&nnY)>9<@7t^E< zbdl`scr3+#4|b|I^E3QTevp=SYF zs(N%CGO-PnNz0zDAPRuz%A#p`e@g05M(RE~( zJ6p@^p4s#i&m?IKorwoSSya`)S=5lvD`)inAkMN1A5~v0vla%H*i(|$juY?_EhGs! z${(oFG)=0;>s@Wm#%vx+Hg(q;FGd~M9oWWmhs=2H8&#iMZb`3Ro$+)}%Er8l%GxTU zG2zmPm{l>rKA(hBxIO)lrG;v~f9JTTEqbPJ{X z*t-rC8iMazXA!4h4g{PXUf^z_;>^=*5br5+=O1aq?km`;KDVers}wsBDsa_2rT;r> zlW0D9L!#&r;pr(`Df_8-Yb$c7UM+O*6b}?+fws=FNE65D8Ji(^H2CDZ%+Kw~XI|*$ zeL=)&!wsBkRc>n;@AuPqy6vR06MIA|w;hMiy^hC@>P4kt%CS|&MEBmnnxC1{t6ahT zq#v`*QxW?BBh3)YV7b9YSMaDbtWxi$lIp@#I{jW%fnkwitnX~ON?T7a46Ll)BE?=`XJ@WbOKP0)x!0| z_JN}kiXb)7x@Ad=;q$I0epl~5r$k>jYh4T3uev`}CK~x=B=tDeLO9uu&0-&GbJ~%5 zUph){aeVpxuA2V-5_M00qN4IrPyUwb>ANO>6OeoQUZz0UDd%W9^@!S@8LdF}l-qi5 zig($g__ATxSL~r9lt!4ZLGX~5|CZBmEcLw*pFp?Yeg>wv{RLYS%Fa2C988%5fh%;* zOkmzCX4*{+NR8C>qRb04MsWkvZ6MPaQ}uG1$mh(P^xzd>yFR$J;=6GadskO97ZQ@I zj&8=9>4x`#Gp3`j98Z;5kCa=tP6FP)1OYpdVYHnR_c+YsVAJadL)$M)%shi{w&s2) z5&9O#2#qDvQ)Rc|^j13~7CNW6VK0ucd)0ah!?ihFuTF0(f-u()==(<%1R-ltYEjBb zMh$t-{-WJzO96L8_c=Qu0&Q;w3LfO+ZX6=BX7onV!<=Tl^VXXg@KoCNqg#aeuT4rH zxNP~nU3L&ebfZ+g_vRYnvFBU4i|^Xx3%XJqO;en3%_jAhYmi89OS+C{tq$mF`eTRX z4y-EVq0+jKD>LfvZ|wt#_!9Odnz*&#Y?s8B-$}=wFy=MhA}0=Hj!o}&>k;CtI*xGF zMIfG&#PqI>4uNV!QP7P0oql5z(f_Q$$CMxfbyWVP>o-jKyeecbo?TCp^Vnw>wh8P8 zVq$^sp>D8_gdkJ5#TfRIl!BU2UKOZ@To{{G_6F>LShz=q$*`cO+@PTw zj0Gt2ltJWIrt3@73vSj40fJM2c#lOOdLYw_J3WF!YIs?8s>OQUZBg9$TV0O~nWDkg zBU7I`2OMi6i^d#C#07sNGJjM&NYjeF*^%+(S6W!AUHs?zp}>kIUspMZw55&E)>A|P zTV*fbzQ7BZjG890~-=SkvwAD*|`1u>71vHChbm0J~3T!OcBCV(tE)pnO%;(uRhEq zb}fiGHW2~@`M{L)G#8?NaL^H05v^K$ zy5LV9RE9jVc$sS;k9pE{?9$r*)}3PaX9K^If=8NqiQ6bjbAbP`R>h|VaiM$|Et!zQ zTryYx3WCVXhXZ^XZc2%v8OiX<6pITM(QoasGdK7zUjG1H59>8Bcu@|tcgY-o{iOQw z7sx3);XvW}N;3FP(COMwU>mF2k;4!(k;;Sde#}A-q`l)ZYv8AXp!jkE4gEBc1>fGA z2v;6VPWo*G_CLW{WboK`{1V&FAY`(LymQLsQNe!|V(6ksul#Id!)fGkz%m1rO;~9Y zP|~NUhnt`A$}08%7gTjwv594{_GjrR9eVD=RMxK5@mj*J=|b3I_l-N^PxKOM9=k>p zz7!w$q=?}BvyDV1co{BJgt7CE*K;$quB3%b+wEiB-aW3E?hJ_N$-uK;%MA=o-JN}P?$RBk`P46_1zFKsJ=Q}0l#91nV>5nq9j0sLxHd^@cBe6oUO1V+ z6fmlML9yHUmS4dIUWprQ`(U(lW1YW)84w{?SLn?QUl>!GP9GQtvw}Lnzn2%y*MkUt9dklSJHBFN;JIur zPQ0pkeYs7d&qWhcIZmsC;qr@hSbDaSgB+k#BL|!iVc3gKk_5iL>#FT>_mincs!wKi z&f%2b4**NQsUkkAM+IB7TYaAazEYND5`$U zI&Z3Vpn71mnj9|3oIsm$xZ+S*!xd(e{$Q52aEkIqqfio`-CYg za{*Ef=$t*H^9)*h&9}n4nwF&1+_uuS3YGYX@1|!o_cvZT#{vUP9(*KsQ^>oYK9^0y z8kyytZYT=h>jl#Q)wfaGt4=V|hmJ!gDgM+Gfp!i>S?aru2MT?n5S@QH2j~uIIxj0K#jHN` z6Ivj--%t>&q?$SsD+}Z2rrru1>M$JK-*AQY;|sSp^-rcB72F(8UcB~M_mm2e&@zEw zc`xC|0^WrjEtJ@sC`amgY2;`>Z=BsnbQ;xIe?m0(s&p+xvfdt1%CoPL-a{RDyUi*^ z+Q`ulip4^g$OoN-Cs?oL*Vi3LQs7~$C#)(hIy4wY=+!0+S3nt@HOxrJ&)suwp8=Rwn2EC%{u^mEuX*6PX!|)T!T3?OmsZfYD&$A<>JRF@ z?nvv3M4959q^GaqMBZ`uQCIkGvb3@qM}EYy|2`c?+cgsiixq~LFid7 zun7iRc;vsBd2Y+LSQe}oOMR_xnXA*hs);PtCkY!r1`qW*+$np3wkx`Luall+l zeZo=wM+8EB@D3i(y=+3-&lxr7gX<9==WQboKr5AhIAENL9W-Cih#_XU!`@9b;mNNg$GvaMKodgbFgN>_a7b^<^}R8Q(Xj`2pR3T)HyZRcVjk&}WWyu0 zTvF&R+83!pHw;h-)7P?TTI-?~1m&#vUA&iqQ z0;q=A?S%-pSgCqRmdb*kz!7<%6dlQ)caZ>}Yc@=`ne_Z(4>HO^cvjM29WnW_j_fUu zNS6%~wD2QepyyUmL1^bk)7B-aPH7)7tzy%LX6>G1SbMdCWz4}XcduX0BdK~WW$QAt zuEj@HJuZQqSxxs6vPMSyanoF~0l>a|1?@5ty!$ho0LPGc^tWOnZX9FQasSq&{83dv z|0!K=UsBrxgXmg-Rmci2O5=>Z+OX}Y4OovA^S8elhhA^xR@HC~xTLWqI9DRtjK&g~ z89eu0;aso)yIMTvWSab`WkRWptyQEQROH;cEi%P5>(`{1}yq7iy4KpJC>NS9~o}1gv z;J+mlu0B!;SzC=|uSQ=@}l{M|<*~XfwZo zz0k;O2y(h!@x)GY$kbK3PoC+8#b9#xj7|GDgllNhm%N42dEun@V`JyhIeo3x@%w|x zJy%~?j6DAAoKVd`<5Vds?=ElNI8MSHLfyhf6n~`o$sl?-Sz6RS#*0UHmVK1HSe89{ zY`m2J*Eg9!dQ_$n0=P|i`n(M8Z z>W^gObn_%VEukkRH<)R7FuGs*%pO1`2lYhs-vJAO6N}>dFyo6k)Spu4fGvPK%zZ0B z@FAL4(;Wq@UX1lh$$`SX`!NAd>lN9Dq^|?EZ$FE0KT_!SwLYe1&rc2bxO6xS&W{a> z`T&$O+%YCB5UcE|=1N@e>?fho z&LH>XFH)k18(~=SxKiW(Ul`rm1x9G?)`7rBEef=4`os~Am$ZrlC{WnAGz`ogj7$BB zItPd8nMJC5A9K)Kc!Edn3Mf(wz0rG`$WZIg#=#C)X_%lE%eQZ7(hCM0qnBn?jJ7PK z(>pdub_ObDITM$GC8T=N$cog3ryu!me~`Zu=hH>^qu2=fSs0lIuk&w&RaV}Q%%X3> z{f1t+&T?IBH0F9QYG~%V8^HV;Dl;ne<37qSA$Rq&vzW0eY;i?K7I zhD(x9c?w#RebUJoZh+@Nnd7eJ(e-$3j+h& zN>3NZkeTzG@9vVAJ5MUgRt&hdE7jlv zU^$`x-}i=72zXf?T5vcd14mPGdxBii#6c+$9&o?nflFKeZ=YzY0-lgSNWfJ985d>% z*B(kQ4iSXwY`n+%iRTco3|Tiv@w|R0vSP3~lU0FBkRmTl15a##4PBtN;a1ja(VxrF zql`r@+ChBrWZk?a0oQP2$jgSA)o#IdBEpBHNbTwk}>$4YnE z$GbDcW>?1ao>_VjRR716@?1K@t-B>)Vm)MSszeDe_#N*bx`i)j7pMXAh*X;+QaVKh zDKz~6SG77=yoiqYjUj^+fLDO)nX)C=@Wl{t@jAo91^J0@(brren;QUJNxmjg0$(06 zcmZnQA{N18O=dA;mO$sWKWsgi=uB ZfByRs?=&u63gBk|0#8>zmvv4FO#r$|)KdTe literal 0 HcmV?d00001 diff --git a/ms_writing_figs/methods_stab.png b/ms_writing_figs/methods_stab.png new file mode 100644 index 0000000000000000000000000000000000000000..d97ca3e03ad7dee21c6a228695cbe6ae0e82f844 GIT binary patch literal 225969 zcmeFZbySppyFRK&3JRilS}ln1;UP z6OBj0O%4{c&xX`&x&0mUMefnvi`L}+R^90R^Cz!eoDApoF29^xZ}t0A#>>1M~N7=^1(e3jQiayJtNxDu@zE9TAqc(W>dhK8DTP&`5SK-Y;B-Z@A4q+y1F^=9E3GSfKO>1Rg8`<=H}>CiSy|9xmj z-f&{Nu;0#Gy>k{Gy46LMPPxLUbg2vMB^#(`?UP@Kxa7zOBA5|#^GRj74|ZPZ6(g_; zThg;jYQ9i=t@`oqvo5g(4fCz`tF=uR6-IZZw0-QXn>jK0>UTlZ z%j(3zwwCsotKMEi-_!b`YG%_w;m<^sWEWqHiN?(Kiv0CV9*TIe@}Y^)lTs1R_zoLz z${a<0;Ji)a`bALTDEdj|L(`qJX<1uI13|vY%jQrn)!byspD(JLGK{XdnC11sQr%pzEp8M#+mi0CaGfBtKtLS zgTQK57=tI{WjAclv)^;jbI7wzA1zVZ!JWvJq|RbJ&ZbzF zn%4F)1(AI_@1n|EP80(kwu!jPv`<{g<~dP1Bu(h)eG|&xdFOg9?3%ZO&nwUl6s|Nh z)Ysp~Fg?|Lr@-GL_AvCBglT9DuljMl*8Vq|SS6&Y6@i+7+QWj1aWVYBs@#tmP_*-l zrxOKsm8u(~Ci9+X+G8*6Ht!8Sc9t8BHYO|MWsXbQSPRN03FwvoYN-}D3)LaV*qJ{F zKS<_m!hfjCE}e3Y_q|1AZ|j_W>1*|^xF?@{dT8xPhWoMRG5GiWW-AeGPa|J@;Qksv z-a2YM<8<-59ABU7bSPeB`&7dxklMPi<2WfSdR=tOBFy`CM!JW_9X;HgTen1S$-EL% zce%ZliZ%DB>+}RmMfs7~m!P|u#?s0r3}4t}x6Zdlc zJPdU{o=#-<{B7w6x6@8&`-=+6lb z^S{48xZ<7vz2g6QdH#1E|K0BW|8V!<{;nu)+OADb5_GNPv9U;Xikr2q8Z3TW|KCp1 z3?YfIN4*;|R?E8o)%nr3M&SLYU%W%u8}oJC)^jv==3yGwSCo)=;e8I5|uHhdiaI;B*G=(Y21Haynj`RZIXBjUKOQtfJrFC?K2 z$hd-B|M&k9G(;cW?)Ftt-~B6)_y|7i{fXBua(y~n;UaV}BC!zyY1wTd3481#O7Q8E zw9&B8@j)o@Vf%;Qi57*>x}UWMeUV@3pBr~#AFgGEOI7mkH1Cf?y!LRHVOSI{RH*ra zytKlP^RBDC?j?UtQE*6+O=&}SGAW1M96yiqpE=HFPX#`zvy|3n>X^l9jQe0wyiR7M z9e+b1gLq>StID(vS$nu)XoK=_zrH+nzpOuCQp;03G?%{IvJg>2)$MhYyI;z{9FDf@ z777{CJt}{jngvY#PJU-l^#om%O5SL`*>%J4`YisK&v8xJX|trRkV44K&-cSUpE!o^ zF6E~hRO?mD!(M%kzI#TTc41FgtjKMuImZ}G)l6KU;-7J^NCXiZxQP99-+^rm@+}-} zadDdK8wb+~3WUjDL`_g*-6LC(UQBRCYgBbuHXle(8IkMi4efs8y_)83XNOXhq8hl0W0ArIHPoM~ITs%0t&S_u2PqQy$T8gt2>f z43zOVK9t5kWoy2^IzPQ7%1#yW5G@qTLG=NX1?_rO;ig4v{csA?@@q-K(l-q4Y3 zC@Tab6v3;1jN{7WZLlACyqEFbeYXt@m!-H|ym zIF}03-dp&f_DLo<{waP;YX*n@|n`jnSP-yr=j+cmDAxXWCX1iv} zKm$2EPMP+ho74%;g@X(fCBhW{A;v-2FP+biEovkT4#;2`j!e3SzQ}o(=Wp9ivbTcM zK{dbGhh-26O;5(@nd}gbKN-g3Hh+hw9`F6ynyJEd(=?h`785Fp2wx@_^>nDAR-Hpi z9vTfhquZ2DD%qc4yP=e)O`oz|3O9{dZE}ySd#8} zq&?_5Nm-x2S=MUs^!@kSJaBQ*OYCP*lSBAhN7;#51uai;N4wp7geT_<*QEh?q)Xd| zWCvxA?8D#5ZOeT|eQRXJY+A}hj#R>hj@}H~zY?vwWasz!95IgVak3b=QQmQ1PC@uH z^@t@p2|lk*m`3_S_Hbco+GU~V@8TA}nQkM&1h#9z?6m4Iv(#g2L~fBV^`Z)owpanL7635ijKSPgE%Fpk`0)*=w@l;b?=>*Qs7->#~rVZ&#dHmxoi3 zG(J=?iGCnH<)3XzM)xNTj;IKyQ)GP8qu}C4IODULsslRNYuV7MAN{1-Cz!h)XX|;f zX^F%Q&Q>W~@E&_DeJ72S3?BaXEn{y`MyF(cE11a^eraK27^XU}=t4 zyKv0i4<+}`j-=p>t%EcM`<4jXHogs6&5J!q91BlBrd@7po>IOC8I%Q&#_D%7pBi#*nM>EEx# z&5Kt#TT>RnanVHPilf@I|naF5sAfYX|A<^k)tfRAsH2qm&{SyB!-K zVzY-3AJzY9+#Cnv>?!A)BCve%*Nhr*cf6sx$8Oaxe^zWg7AAYx>+-x&iWFbU!OC#~ zgr5-msZm~=^@o*=Hnh1j*voC?cJ<$unx2y`v(?SnZ-nv9D;r0AwFiHPygc8knoyNv zd+bEs8j7>hF3RZJjIe8BdvI49wFdD%4dHX3i@Zf6mf?>*=Xv~d9yd-_@~VUKD&v`L zjIK>d%{aIiiBr+QJCNDg_d96y(P{%V5Z@IyCJyXfL)dDco9mRx?XWR0dw!Vi`}BH+ zx3OvI3k$O_fefkp;Rcdawu^uTa)9iJWm3y!)Sj0&$1!lxlX^|Z$j|o>Zq>**m8l*fH}=-0PHS=dZ$NmOS<=y_Nj-O2U{i7S4M2aaP`@zq&-r-cVrY z={J4?&0$}I$nGmYLf!Jor78#cni!!~Ueb3ODNQl+$jr7|Ts}>3=FK}dB3Wk1xUiUx zmrI75LilPjRcYc2-q)AyG$E|UtXVM{y!tIGQF3<|Jdaa(Y?iyjSc>bHzG!N@k%|=I z*_q2xh498zcMi_;M%(wvH4FTy@0cdGl#p3$y}o>>t$CPHNafkE(1RH+ zy+V+fo9zvv8S%k)j-!Q8QZ79++!yzxM0XZ!#%X`#Y}X=6a|zdB;Uy@#uy?JOwYl6u zcmSjU(7<6M5MnW5?)}?Ta5@1>U7~04qdO`tX9i)e%I+FGg}p2W8;#vNbvvBUf~?^$ z(SERl9Zp8>H9D@V8VQmFvpNjxZHY0CX+Z4&rm6dR6jy`$$JOlKfC9GYcUe($PT1Ai zX7_WC%XhD$PwycJ39PnHP36XFv#oxY8=Hz=ix=Iw&o9~+FhD;Ab9X*miB>9n+YwNp znEEpDv+LF6*`eC;oI|*d%c6hSB8BIH%CeB1snYk{9jls(?3`L;%@6RL^sd1S@Ml+7 z$E|$k(%$bgCf}HZRh~b6>8RX#x&01)(PgqRULcEKOS3bvVU;YDAI3S)$x*2;pVB&% zDlnDwbV-6L>U%{G1^GJV!4nZLkKHH-@bIFa_A+kE-*G{tU5~nH*5u5r4X1=+k&CWx zrbs5YKpTo>F_cnpb&w}Q8rjE7d`3Ibd!Cp2Q78MFZ^0wW zbXZdF3fr`$Ge1q`+tp#2H)$Vh{jblmF?I)QKjyDkazAl;9>%v`{9rrpt`W8r>F9$s!EH&#=s4$qq0 z)iU&~aXXr^2s7^FXKXd}#k|KEfU^)`_VVk?4MwNEF5vvlU>>cCEOJ~rM?)IICmVfERl@p^*u`Gs!S#W(Y6U=YEEGETI;(k@2k|o8& zu_pP#)uN%}zQC)Ws0-d{qdUt&u2`Sp)IP0deg-fyUV!LX#4f$!nH>1Q7yuboJnp)_-NWhO506JR@>n6VpE|+ZfPAWKdLiTd7u!d951XL7gxNZSEC@4mn7U4SLU{spWediO*r8lboFKaRPjvwhlbih zj>QSlkjVAL=Y!i;FSNhX&844AxhdJ%RJM=flMBx~FL+MY%h>f3K6m?VY?=hB3U|WD zPAe5OD+mX(+|K~St6jH>E+QKh)FX1ViHAml{MY)AmfKF3wYzt(BBLs^zu} z#p(G5ba&%!UnI1@%Uz_~xA2#}piAciX_E93v!Z%g#d#}CM4-3Vs0@R~m;OsU?0mdY zR(d8#-{DrqYyZ8+Jz9;B){D^-&K`XCp%<%<%pA~eV?U$aZCbb-nx+Rwd*4+2PDPsQ z@5FW~a;T|%$Gc&b9)JRicZURa(6cq1-9T6*J|MKz$bo%F!+ms++w8AhW!@z#KP<)F zFS6+O@UGkG9w&% zvm(bv=A;w|g|uEpHB{V=a>pKz1c!Juekv3T;H1lz=M?G~-M%@V{@bY`j*FpKa;}m! zEPHZi^Wl3Lh`kK?@#hnfTZ1}%>l#03mUlo26q{);atAGu44cyHWbw7x-eYBR77W9F zkok@#cTwVU5R=&3Qc-@Q`vfEKWKx87iJ_aG;}1!UM3t4gy=T&ieeVGypoyV(_Tcn^ zY*ZShG{lt*uFPQg=Ildz543hBHzS^admcaVxa|CR$8ZGxKnGqNAIH@{Ava38+;7Vx zlDex>#$Z6CWbPTz(bW()ljMdol_{9~jqYpn`vjJ<=1N9HS09)+C~IExGZHTI&=AwY zIF%h!B?I6lk|jc02HK-SA~uipmuO%giKp zDolFfcJU1At&=B?aM}cWU13h@qmQzZ1}<>9qHPvwD3klPzU80uioldIf}A(*3!fO7 z2(K8>0W3B}x(wHRzhze8cWWQCZ{AeH2-OXcDG4>9xk$ ziM+6Ro7gS1J?!TcpfHctASn|HkeE2vMjW0D)(C50qnbJ4vk#md-;Y$er~fRc^`tUUbHxINpy!LH zbc&y@!HlleYe2GfRCUKjwdo=%ii2?s>rHAZDLyXo=ZEAH` z-vAG+H8nCi*f6Gb-UNQ~{7)uSR$l|baB`R&`&IU=40e>GjJYPK_J#jiY6N#%aBCO%)CoSj;hVZY3 zXjkNpZs}QLqY)%1ecCfZguJ~ze&J#&_~!M+5Ax-N@d3x1#ET*0w$`m$%_ zcs=M+uCBCXkXV~YkQO`VFf3%@!5beg^Wl^>BGE@V4lkA%t1Yl(_cU5bSX*44bzF|M z!jI=`Ymb)9tDC8QgP!JfW@U4JwpBH3+=qkp5&*Cg`^#ELRe+gx-D54iiY0jo4*6bH zXl#myn%l^h`RD|2CRh}y(K~u+y&cuZyt)K84Z{6XfF8MOnSUjbMwt*_%7yIJs zxk^?c21uK{-O27^w<830psH5=+2g_E0j*t+&Y%Z$dk0br-Q{gADywby!nOf%`Sr0E zUPo2wq+#@Q7(uSoRbjSP{S-!rAGK?!$Fxi;1+D2id#W~KWn3FIc9dobCpnf zRdDvEN2W^V+M`8;Q@>PU!iFGzt!RufoUFq+Sf0jKo3(0^FaHusBxUm~9jJ}IH1<8t z9Mbo4G1oOvKl&L|m0bXZU{7&n8vx|_#UnGp|I*Z4D@S`*HN5^ey>g!@BV4ABbv<9? zbVNKZAwFDj#rM`a7P9VaL;}C$Yh`iEbMSnutKG+nvYEc`O_=ldl}0Jd(@mxWC3PFC7=B;K>2X}Ml z6rCGNlIB;ykl#ieJ*Bv<>{C%Uj=8kfP8Ht_83OAh7!Vvg(KgYQ%* z({xsmlqbIKr2REpJtV8|K;Gl~tuz{mR73hcjQ=y$dR4tS?YerMOcmO$z}3AC);jkZ{kLory?69+h6!j+>cBA2q=#&6e;VJHNlBkFTcr_Kc+$CiwClZGJmztBu{Mn5j` zb7Ur^| zk#b#`xMx)GR>I4j1V4^z&pVnFKhAk06bo@cS90tnp1SwTV~D-SceAv~Zsm<~Z9@Kv zZEZ3?X16S=VJA)098+Ao_2>12;FoD`8wHU$HJ+Z^@JM9ndw}o{(M>h|7rwUlJpDNR z&Dy6jMJLDXJ~LbD>2d4z&jg0P<>YrQq=^u1GU$Yc7Ed>9qp*l(`816)nqlC3EAL=- zjA!@7^W0^_D-^LvaPKl8*6m`bApuz_Bs>b|HvY#~xIOVR+_}w)X@W1FG`m2#j-K(* z6Z>E9yuzcqp~X17qmKELX#ZxwpSc9Ulp-`C>2K@OZT1Sg%+yP z@+R-FN+Sx?@?LvJ;bX}E$%!}k5=uK@ro^9IR0GvSFqjr(2?yT3gGu6wQw3@&VyQ4P zBo;(q*8FaYeLs`gVze9H)0g83!?LaZUP-mF+*08b+gJ|vPq-~3I9k2V>SUYhZdyieJF8q4;5=2q_kIbVZ#{g`9gUxgybS8=yYj7t^3+ZnvUj;wpHY62yTr4xg1Q2ru3~_i2;U)nF6;gC@cVFkR{#j}I5>;3d=zbcK7Y?OH?i&AfmksgH!_8_BI*&4*(m~Xt77- zvYZ+}j~<8P2_yZjo-kM?pW$)P_@{bMm4gC`bh-D6_e08-KS^w9-)l#J1tbHANh==( zKmWQs3FxWUFHo5RUlIpoL&0kF#h1}rAZ(OED|s#4>*KM4byEJ3ZQ;+JtaLe&DUR|& zyIBSG|40)tT!S3br<(&KG$kF_Rc)x{Y>0^0Kq$_3+X~tq+d|cj&Z-)8W^>u})&81v zERN#DGm*XUed;gGot%B|4+X7~A2V0&+PV*%9YS^QYaA7X=_Du&$34i7vC&s`9e zSx&Mk<*1Ay)o0&-15LzEXY+9*!$!UkJ7b-Zeh7A9=Z&nB0*YCC`W7X&;glAc>2=0ho@ny~g8 zsx6|TWSD(}(LHDxC2e$DU)#yaZHG9AZE%v?dp~*M&CaG(sq7BE`8_WCmDih|cH+0t za?lN2k+G`bBNJ|$CB&!-!wn?wg!lEip$XOHNan$~>5z%a8$S7+EdX zSMFKZurk05Y?5o&QeW0*8h9RRm_$~$>0W}crU@#hat`_302Wv6nwxU9mul#=Gx%XF z#ix8gv$m1wK^9G#8ThQNl56W#JjLT)Zb+0PwIR^VgJNEh{Js46VvhM6<}~!Uu;H79 zKbfywdfBlf&;0SbW^f*^tY%aoVkHMg#RDP*f%6Zw6w-zDWu9&(mZceN+)j79I$fPu z45YMs#IkoVUmkgUnAXa?!6(4^JdGgV=aV3$&&44tj8|1608hoOY>6!U!DF-%iSI|r z%#SkDFl-$wJrsL45`T1qW2B%fyTd_|GE58SU9rCSJym=&AZWMmkJj7T8~J6rwO;Xi z8A=6bS%MOqGhUGo4)4m%JJeo%(pZnRh`F-V+HP1)lU2fw4z`T^;GqNy^Y`xOkVapE zr8*}p3hXqi4JPrx8CCEw0o5A6*D|*@mKQ#1Gg-)x=F(20=*4|7u2VC>2`A}ze+P}g zlGe!mS7f}W+edNTUnCZ&J8$g)w|nTtFMr%|Ly$-$FNSr5Ifs3ggMx9+huX%9E;)M$oHzUUZdGk`wBk#dM7%W> zGbg&?$?j2WglZaC?E&#K77i&-R3F29`dV^xJyFMX{fFfk0}8q)Ia@mKHuQh5x{uHD z7HvPQ99L-_s1@8KeI*+@!p0Q^cu@)ur!aw!xfv5I^oE8GIAwanLgQM$rGq5cKLPL2KW+68t{ z`4$(#8UYhOej{bS7WgWUJ!6%ZTKKp?&-0V6Q~RrO!u%#cnrk$#s2l9|;U>x|8q^~2 z{7~<69nXza`3?Ae7la;o15+_Y)4(gaLxBjk|+`-U&t7-0rI>BO1z zpnUBf!ZcdJ7?Q{A8fk{9z}_rh!1{vN>{;vyYIMdl=&^)9>oF1X;3~`-aAhHl$kQ2$ z?@?=Cu%Gf+$K2HWq219y85rWKB;i7?1q{ShyhvPsoYrQAYY2z2A|e#h&6ql@Ei@XU z;w5kL-b&XYQ(j7DX){W8C+8zuOS4qr3cQkV5iaUU35h%ZCw-6RxEBDR|Sg zySln)%FtUMkXH&D0MqgcO9aU$matVV?0^7PFGFx2jZOOdQFGi1sR(@4k2Q@HdO?D( zX{Q*91t&F|39vmI04q~!yQ4>fpL;&9WbFeGy1u-FpbNkSu0`*k0A6;!$~pN+%bVUr z69(}-d=MP@(x;IO+pINH_6FB-4h7)!Jnr~3D9X6`>xNmiMnLQCNh8V72(SqvAW63H zbh=aHabDcgS>nXn+XgW{BfM}%<*m*mlTRTeoOVkyo;44l&9+(#}4 zu^7q^`ir1jmyDrY7VGvEg8?2kU21k&Oj}m{=qL`hhV*S|a9G7GY7-!)%^`Vc*2Oz^ zwSbz(k5@u-;v(pu>a6?uQCISA<#mkQF_6cBpeL8nYb}dbOPsxpsMC^()2@Q?f92Ap z!Jg&yeV-Gnc^C8WNZ}k2z73;?hxOfg4Qt^ntQIU}Rf}^hgUslvm}m7FPP5gFtIk)>*c4Yt z?P+R4Ux%u3(sryAvbD0fRytb}K?P)VZ|o*4WLRb&cW!J8)oKfG1dYDmasqlxeo<*7 zGvRdrxgE*+j{D>&Z*&Y7%hN-+4ZO;ufU;+zo%O4SNGSArn;%o0!!}{=hV*NU4Q@S% zrVsQPd4+kcgVT%G2|N!P+s*q!nkuWQ&S_`B$zXS{Ljk**<~HITGk||#MuL{S1R!Tj z5ibOSOrLo`;(P=Bm_Tx9G&$ck7JSoRI9Ws&uQ#e2EHS^++k&c;%_iAG9xDrb5Z}o> zNd+=_clHXcwVp7}_@Jl@kRC~oi)9~%d3?A8pxga!viZy208!e9<(K(i+A@JJNrQNp z`;HWPU*p(^pV>0e<6v(Z;jy2SVx|s89E2ENi1&qj)A?CgRH{Q`e6%$)sqI~hoRmdh z4*@k0_m)QUJkSh6RsS5&gp}_b7%)3->k%W@g3*73Rq4AlXukcpLb%`BJ9C=T(pV5HD3Rs7rMf`%E-nZtPbewL>vtQv@lK;vD0A zzItG+_uokCQYs)4@y$n*SKe;MYtKx%plHxzk~p%AzLNEF_w`1JcXuO(lRXryH$((J zZsk8GILqeG6%%c-i}O^lW#Let{X-K5=oqvxpcEQ8)pWYNcYOA|+c)x!pb`LPawA$? zEvAB&d^f8G^}Zpk>l>rI4ASbdjtFD$a}*SX1Mau(bNY9+UZHP*_*m6!N!AsAUv>2A za>qM8z{ONNg9&@u;7sEjBLn|coPH$n7f@8UW}8A&+^J`ifK7 z^&4LeaYxayM#tr`n%u@ud|>XbV&|q!MzEMFdv%41Z}o$POf5n-{mQIPHME)4T9$(C zjW0N0g3-kFoJD;rD|9s^ud?O<>q}uHBN8lN(v5crH@q6Hf0QbC0mq`4Aj`@`X_TaU zoSGI^-AK~sG|U@sdt<(`k_&j8yx$ad%v^mNuR&f3qxy3G*r1%Xbj9pPZFF@7@Hi!Da# zy1)(=pVel$VBH-LwpX{W?9BWFvx(vJyJk0MYfY_iSY-=R$rI5Bgh{Vl-ILW%q8CLX|8_5tWlnA`vl2DliU6+yJ`Wijhc!Sw`b9m`mJR%S3S}zsMYNR8Y z^|)W0vb|W(j+U>Zy+mTPKp`&^F`CwMljFJu3-8SwykJf@BgJ>E|BKcJbenA%BLi0+ zV6Sydnqv4l;p5}EQ=o!otdMNgnKd63rUt~RxSXL?k|*owmoq41``JRU0$=pik^k6k z85C1|jN%@lRzIT@5?luV#uO#>Q+A8N@MF>(Ff$qh_yH&UUaNhE_2m609$`M}U!Om* z&OjYTdvamkk!+rS#Hhl718dTNrPktZ)XKznz6}I% zz;+9<0>Ks>XtXsHLWzoC%ez?3o-$-RmGF{jhY8|1FI_MtrMBVl`hmx8}=03x5f0Ai0P=Dux zx_UvSPDq5~Zpa=VOC50bXj?S&a+Wisy#K7hN4I0_Cxnbqi-8`6`*BUUYeIW-DLI=e zbyigk(q?N5!V>ZPDm{jlLLhdX3|tP#Z?h}RYzw+_i0X;R5~W^QX@8YbL9EkR(}WE^ zlGY>#gstW2AjgZ-@87v?&Lbr52MgICo{4O|<06<9cHC_Z<=d8HD#G-ON5{__WB-Ms@?9g6W2*pr`EirRS8L07S|%O}DT4 z?}<69n7v;bTKY&>l>nHW36O5eKwa;)<9iHB&oTZVqVy&S^TT(uxQ6&?e@tpj?9$nW zp&!VdsHb{07>+=?OuxwGdV`Q-Qiy!Tk4_f*iT4*dBG=$C+Fsw%w^Xk)r2 z3@ao9@Q>WxWcoiFXjZY7x~w5D@4A`CsRS5|e#?mOWDY5cx8dskao!T=e=Kys8QARt zRNpE}R#g38^2P>MKrg@8aMstC{UnAi>uoB}UCdWo&wuU|pT;!brx2{quxOC_y$8w> zrh}b@*38hK&I>}EEiUFi0uFl6FfNz4ITvKk?o9oqUsP9sl7J^FJx%P*30O#)P2J&U z<~5`fpnfldc;%(L4~70CQnEUZL&|tZ$zAnFzS*10Fc`YY_)@%(~gp1PsHEPwN zEjIl1tGtr;qRxo>aV#CfZ(sDnjA=w911WG zXEAWY5aw2>o05WwVBh(Tm#xyprJCrrs~zsVo|&=RYCAZsYDqhn0E}}{G=l;*ba)gnmnQ4@xh+wv)|Vej zIKJ|R5*-xpfqSfkd>Yu2o4E05OVRCN`J+A`9E>TIt(RF0r%gJp_^OvCby7n#=*+a{Z53~Fzb zUw`0Qi|Lv&93~6%jk@L<7OZ0ZibsVsvsXWD_j2Pp|7>7T^Q!v>gN(>w=`3#weUn`} zA%?S7g>s}_eV)hH{8&xO?e8-vL)wl+l^qs~Y~r^XxDAnLnX*>)(xkn86Wa0NnqD!* z5^lHTZj4RjTW-jUP}vZ}lW|+e*fDEPTPI~nYi6C`@-22Pb|xqEi4ji2Rl&rV-&a~v1!7JR0?1hia25;OSb zf?uBsOpsCO2sACdoLz7dqf*9s5-)RiOadRf5^ST*m{p2d%Qz5|5&JEBXce9LTVYP zf~vqqjc@@%ygzsP3sOM9E3WVb?-^AdD}c|>ihpUd?O20dP&=qef#09NZ7shlA`S1! zHGUKmu5mai>W_@m9U?Kjsa-iq--?g@? zhF-GdO^DV~MLfNY2wBex7jDcA?Zfx6>h@b;M=}~_vbA2ID(*qu605$Px&fm4E~g1Y zg5s{;j*`X+sH*fw;HgAXp(H8M>22be>X7O5fjzV^#0n>mwrLA!$g#K|u>=}SjT zG4n>h)B(nW4!>|t8^nq&rULBZt*MTfcB}z<$et#IM`wh5+&#cRq?F`y$7%6lBS6L7 z+WB6MHBS!h!-w{_;$8O#`5?XWGqR=g(ASVW8`dg=jdInG@IOs)3^?O|k@l#Fttp3b z74wolTM^RfZXWTFCy8d34l)SylA8rpC+TH<4};h|vsmv@sH*Y3Fg1FpA+l5lumP6u zOM!H5D^)Q(+g!)xv+G5C@B9RYWMTBMah1>6ipyRns!YRf4S&RSDD7V%pSE5QzD9`N z*aOHdFt85QcMyq&uUGKUNFNvp_PUJhFaYg}R~*y}QV#*=B=}d2T>AlaPV}PDW2eXE zIczVZ`FPyjZA#EQ_T>~}JLY4d9x_g}5Qtc^MNuDqX|z__0x!w9x_HG_jy+(%s)xe;QCAK}J>ea>Sw*j` zc4Xn9PTXa54&U<2!Qz(x%PT#(mVe1PhQ~(%Q%GUKD zCG6cvvT*xn(BzsU994$HaTOV*oqfwlmT~waJA_oS^*sRrS}dL)=a{;1O2uVgu?^@j2%Q6t zFDtQ~2b%Q&SltCVyX26zEF(=b$x{w0mND^{S0eK17T?O;(SW7SlKx04n>F&B&>PEy*&S+tB0Xi#25y8B$|?XN zZ5(8}0Yi`r!X@0k*2snmwqlJM#%)j01d^_HS)djG|`vdy3f)3uXg+9uY zTZiOY;}z236pvej$^w4f@AE8~Uai0(La~6D!PM6c*1`>z%nG!Pb+5{aL z%`s)w>C!os**^nJr2>LIqlA+6;2}%V<~PLMg~ylMh)%9GAm^V|)tHI={ssHh;PKw* zA5rMJlGSE@dfcETr3LB384IPjdK}c@uo*IhAAWu2Dq|mWV7Ajz4|kEJvAs^);E?_F4v*Bk3;8h9%OKaY^~iAxS~e?$nt*BVYPZ=w8l|dOew~}n*p}My@Pe1J9je=0vWt9LVYgMZjGvK zHi{KOU2tc9MUB3}bNhf7RV&ornefOFsKd^02YIHrbJ-vofq0~>J=3`!5+wMjR; zIOz>b&=z$ZC*c@%o9)>k?*V8yBiocY8Yr4FHp?{x{d!@p4@`2J6GHdh9}UEK;1RQ`?FybONHIHZ4zl(Z& ze4}DN?1B-|8@cxpjsK_~0&QEnM7c^osEz0W19*YKyDV1Ka^eg+WK0E53@P;od$@rj z8NQ$g=V~(%oR-R+t!3f>`R3|AIB#PNFV2ChK|ex+-*$Md(taGUR7 zb&8C=Qc-iWQp#yH4~Z=`kWyZs;fs8Gh^vz`wawmie70G}vVKl4pOA5YhnsURSav78 z@F0XM=a`KJH{Ajs8l-+^R;5LBx#%DDG6r?<=cn%B=9H4vvUFONq1t@Q1xoI4Tuq6I zsV~qTVNiI5QLfC`D{OJAJ9)>+B_f|x+;Us8VhF}U(O;z>ro|*aQXm&?-uuSeXb~kG3`E@@ z=#_4Y?@tGMfj|#rjkTjx|1x;(Hs^IH*5>v6u-WB=gywvY?`Z8oV212F>cy}-ISbLp z@u+#F`GpO9m)NueWqkGQNJ1ZVJU>J4%bGk!ROR%_3P$0T^}M4%MXLeBoArC%C3{GK zd0jIP@Q7{rZ?t5B@&_aE+lBi>0uauiw9&F5{^ihKcbA+0`Ky~4^dm(0`zUw2ftI@F z(W>j%w3?r?^-L_l)6D?T=O%iR>EHd@ufs%{fB(Fx9+PE^;WZw8i2>w-F6Dgg9rU`a zKivwO*szapzN`Lh7f8zF9mPOK?slL1FHOs@13!7R6(3(6nl~E&=O+o)SX-z%wx}qu z5(km}-G2_UtE#pI5^%fa_K^_&F-`*6_R4{^K8AGL!4A*`I04|tyBnSs{D2;<@?{mP zhP6Ft%S>A*0xtglY+&cW32IX^zjNkYiGC@L%a;8Tu!%37Hh>YzT$|kskN~PTEkCoC zSz*m)ng-;d5n*jk?wy##w<4L z^v8bEzlPRHz57F&vf$6pCTYwY)`;W2R8-r;f0~R>qRU`EOrJQt#`$~a0Usu*pC#IV zOwQjs_y6=J0-c~+?gX{UW@=zp{ZHS!xv&w{E3Ch7@PBWc|276ODL= zA_y^)INW_Ppvry|fF4dy9r4=%W4Vo9B?^;GDyb2evBhFDWhzs1?M$d_3F)kU8_Oqh z<|Kwl&)Can0JCiYDRvisklkuMDp}CRO88CCo_lvFse)p}5;9gasgVsL@OvmVc`7ry zjGh5J2j7dAU#8H}UCix1%i5060C+X>g%d&83{i3oZLKcs6sv1miC1Mj9V( zr(`-QmL-ONo|V7j?LU2*6nG1>{da+!ENF1~HxbL{3y4ITuU`FUc>mYIiyI$A{z0|) z81#RRtp9ZDfBgJ0NHxVlLAU;&f$zURt|bL{UrTZxI}^_T5Doq@2xh|XqHi8Nxc#r6 z@$b=&2!dhpD(R~d{<{gdK^C8U%4ulO{{HQMf5yL$VumY-@3v`;+0Xv{xbk1$y7N}@ z75d-5{nv>Dw61&?ofdSGk@@%IQjWZZ+5RQy@7Hep4;T0OO$~d!#a%1e9ofV0GQzCSK zeM;^MS(_=<7no@Abf5SpfmJhY98v(@{gDrv;2BA>*N42%)){!r`XBMUZAS-hBGD@w z0CYjh#&m_rSZqz?-SOg==YSqAR1&#VKirs*yGQaoV}n^n!f-4?+o?^5QM_v7V~NI^ z4!%CTsKz6VtX2E4X0qkY##qf)q`pDc#`DvFTj;+ZT25ZgNnSSo@z!6#A(iDR8k#)A ziwbDTrGEI7_o1ccPu_U``KMEEYdQwas@#V8<`Yvo=f(wAQ!nG3U0r|J;rY21;GllI zN583)fGe!LaQ~(!E+3#lLul0?uQg~Y8|ZvPy_Esu;&urOl ztIQC-$EBXH3hbzkRo9_KON$NOLozOc&*AL!R#smWSx%`Ynm zH*Crk=$4oE?P@3T5#75_O26-SfXstG_T|i3j6@7N*q|$Q6%hfI!&HR;5m-ilAw6~_*&RMM7%MvB@BD@u9 zb`aW@S3>1l1r}j%kl!VjPWuAt$;x5?xlUtF%q=XQ=}1l=^W$ueU^#onq&q`V_@dLe zPrz~ukGl0tI|a>I7xpXuN27eJmd0N2q=_&Te`Go#Fj%;eh%7HJ*xfOopw`2rbm4{S zY@DHeevi_uaIHs$KwEYqBcXkkHQnM;{Mk_`QRfl5bFEBe#qcCxs;*aNCZ5?~FurKT z`b_e#<-M-=jp0PIZ#C}uxx5zD`TXbvNWz?6RoZ;`a!RRYiGlH%Mz_m+OD7=Ppa<3n z9T-ToN~3zY!``lpc$_5c0GgoE0G{ick9U!bm#KXdc<=8c80G~7CfGhHP&3V55iK78 zSn{0pyRHPJJD4%%zPV0Ibf!4R%oP@()LATO3?PB9t`Cag<-Gwp329E3$a!?somYc_ zLL#(m>qh#u7I7VpB<)(T)k*lT^|@8aXN_J3PPg+DsU|=h)68h5%l4*yE|$+luR!J% z7ThqeInHlt2C0dWwchxb9VnfZk*^dq?0n9@SP~+CGU}dm;lu~xb3Zy!#ER-4w2=p= zxcA_yexwzPOBbfs9o4wxj{#jh3#p|}JN^U33$BBqH^c5$dt8uJ8`AJJd=sMUzxPvL zZj_dZFBd-oa0tsp4v$UdldK6@K}yAGFv{N^*hh7O%rWoD+ywgARzhljBiVEHlb)V# z!ALWDI%}UEx#8KFn~-wMWB{(07D-C?i3TqylHO5uUhT40G_e9cpdlAy7l9V`DUz;S zU5VXxyS#JPw2Rx~8ns0o6)|Tepnby+&l1j|4{y|pOP@Qf` zWmaKm;_*2P=ssd5au=9sQRQ*HM-RFoLWF5aIb5Kv_u6}<7{2z_9%e1Ch9+yL{g?Vd zY?SHm8=w6}DK-Bu$*elQY*EgucH{OfveskhS~^j46SklbQmnfblNGcSZ93TAoZ*({ zI5if@bL4i#(;#O&r1$b$w(a83OZI>;vy3Qt&qs?b!-fi`VK zK6HCKbc+Y!w=pEBz2myDv~kCv!+N*Bk2s*ReTq-lnT8?y=Q=mFCtqE3=bHXYoIdzmn&WdT{z&vr?YeJv`ODi?^ z_QTPS-iW$HK`#?ELlcci&lr5+OBhm z%`h~fPg9?PD_u?8ccrN=4YEeVCjaatsy6^0r`}kOLi*+c>YwxMww#Pv`3~Xtnb&|O zt^c%~K$Q)Mfa_^=v^47Zp9g?hOsR}M_kDs>Q8gK!pswm{y8p}Uz!MzPWUB!FBjoee z_zF3(Rh@A{Zq3L9MEgCzfBMnQEB?WMFYiQp`UL-{HhK5)5+0jgB9WcF$1fDNmnwOL zo`d>(fqVjyQ$D;TQP$f(E}^U3^4PmxqkI#at4U6~ap*4vzmcEfLh<}{cEEYii47GB zOM6OCqCQf-=Ax&4=DDRVeDo5V`7}r#js&lQ%6>t&9Htwc8tuAczZiXX_##k_)S8)d zd#F=)8IT2$K7kTn_Nx^o!%SH&wy0XE*A)>rw4Vi7tj~1RtdG93L<_d+&ac?K3GV-F zl<@h_P?qSr^n@fHvPaXyYku#~6;rV7*uF%}FB8q;_e2RYoI#r|($elbJxlG`<=rB2 z0TstyGH+@UIlmomLJWCy5CTu)C40t8xLuq+b@J+q*&ViLr(8BJOA6_B*zMq<{Uykg z>D9_qY>Lwb=|2@?4~LRWWq@3}e4P;3J0Dp5Bw_(z@w&P(sKBYnKsGGq!-vDd=Sv;V z)+K!S0pREDE5UTvX-t|U*--${k=zA(j;`sp*Ij^~kUp--c@8i$NaXd5Z!{>*aecwy z%VQ#j>X$4%=Dv4ghd5>f^@l6Ui2?as0(G@c5EWG&l9dm=etWWPtUaRUfR4)SXZWR? z9P+zM0%kL_Z|TEoYb`Q0?L()Q$AD`IXwzbcwu>8JwLY-g#wW8sPNft!Z=$Pk{oLo3 zhQ_xQ`!D5en8PBKURbdyqY8$+Vei4UFlGzt;7#W1)XH}d_%|CulK+#%+H6m@U37OH zk-F1;=4r@52?^D>wDA+ALf1sRQEE#xw__Uj`hfI&(U@Pg^D!!kXqCpa#vvt(Itrhj z0s`!HsG->Nc^=8Sj-?fsdt1P2HbmLvK45Uuuw{rh!@U~Aj|q+6MbBydO9UD3C*sxJ zBg1hHZY)Ci@P`;)Xei~n%5(xEE8bVgo+7J6_O$WotkbF5+q#e4(tp{ajkMM7S~0@E zbzHs|VOMsL;&ggYv+Q4*NhoZ2?i$`?u}!UV2fqI{`lo9|R__zpJa&NOE(z5d=P@O# z?^^kwEM<9Qb8>mINqTFsva+yHLq-UMQs(giO9?XCL7U#6;yZviF3;1m zZ&Um3d@fYdnP@h(cb3U(BxDx`Zz8c?%fesk33ZE zB1-@iFJq?PB*xl%7nhisI_C<|CMqYm;dC^I8U->9Yn#cLVG0#EO!nJ%72wy7(oL7@6VU zD~>ljG;Dw+lb(IKG@%s<_&{bo5Y25 z<{$R#j8DU3qzhJ)K+kh$U}E_Ru+8lhzGaF1W-*M#F&kij$iHZ)wu!8wZ|vWPJRPMm zV8QmNqMBZ0z-(^^M=k1TNHD81Y6DF=PJLbPOiy|Mm|l5uf#;IIjg&&EH2Ma??3($-Mw3`9_A01K8vEbph0_Y@bj=}|>l z;cv{f@v|Jzd}DLFLhDJ$5&23gMj!ANi9KcYm;LimHq9i?I;cVf6Z)~=C13p_MaKGg=dGOgGgvVqDOJ0~vB#ORC$XI@FpA2a!-lkvL=Mr>vVrw)Z zE`eoMz@RyD=t7_4zlGGh4u!w=-cnFC;Q3@&4^24Oip8M4neI{q3YUR zT*c)`Z^p*pPPfWpa&gRS@9YwVipYJrhNr_HZ58474tPo8mCT0U35WbyI<;{QG;qtWSGn zee{%`z+l1Z&xp_A-jeRbNdq`gNd%vE#}9Mq%kI&&??Eu>P0SzE)Ct)A6a`I%4| zzAk%WrhKl5=mjqmsvz^HkNzn=zZqm4Pj{_dC)% z-(E<>Dq8n<{?u}#Jt~G?Msm*iKkt?6JPy+E+H@yYam%s;jzlCJ3H!Xb>%#3B9ER~f zg(k@L$Jkz^{cFA7S$e`RMaZff=g%MpxuyE@$#t5_x|TZ(bw|+2{Li_Y43?bfh-T6i z|E3}y0uYzcRp>-ZNfL{YD=UbCeyL)+Qnf8cLW1!GZR|b2$Ef#M{Ky&XSD=NEK>pLC zQ?V0Rds1y!d@Si5h_&>oYuv8)E0KljlCt`WUF5KX zXP>pD&hvugl0T;Vo`mxTl5ma<}!ah&CUY z7~0-(?9g(XbHXzl{3#wwd{HXn-al`X>+Oqr9Ly?en(utE*w`5rn)K2riI;|mm6zuk28+qwAaGE z{q$_1Pd_12{?~I zYZ@fB(h+`*QS0yHaC&5SH+w3d4IwN@-y#XHIz4{=sKXmF-?_hkH0QNgy*g6Y`mV>(m;=YpYbU)YF_y||O`^8^t%yzL7O1=M6jvFk?ACNU#&ik`r z>7hNW<($pPEvp1%Q6VKIGKt{&4ggI%p%si+|H=<2@OH6JMZO*aI>m?I!H-qQH|)u> zn~yHcPm-pM$_5`EKC940BlEowrB}i1B)D{LzHSXW1FOqV#`~>z4K?4F{~$0+ z&DIZM-E(n>wFPyI(N$&(W`CtF&O1M(x-_Ds8#w-+ux8I`_2utgCv4<6k^ma;Gjy#&pp zIBn$s#%H8(yhn`pU1CMj<2~!CqckCCasyV(3C+CEHhVV8MsD&su(`?^7{uBF=OYT*d@SBNN(BwR#VWldl;h1i}u6obA9>g zB|zd?rs$W`m~xi*6V}Z6%iCrabKw3W?3*GXoVY_%Bxw2s_Ylh$#(H#ISK{x39(|L& z_Wa?!pSB;9a6x4A%E;!%9coC6DCg=>TbKVje?%wS>-^k)ZC&UEeW_;JUti07(w9U& zkuQUs!fW_=M+O&NcOCco%)t6zzY*E^RT)q|nSXi%bI1WFrK2kc{1y z_PdJr3X*XMdr;7v5H%B~yrT9QQ&MlGz)e83cOE5mimljM;LL}FQ`#-(O*{3FZkodA zZ>83=lM|f2%v9o$DM_MX0bY7qlw|&U!7X3g<=4l-4R0TQoIJUuJ*i16yks!1m0F<#0W~no_L^Y; z$k0qyz)KVV-dNFZ73rk#*Z=8*Alt8?T2_tDf9=o3GUg*l5m3@6=HO(-AL75`Jxg%<{U1L_)_NQ%0^XsQ!u<2P zK3;KizeY*@2nkF7_cp|yLyCZ2N(smR@IkoJQ=td%Uwy#}aeIdx7BK4s2rWK~*~mL| z{87OTphNB)uM6x#tQ4fZWgyQWTj{bbQ{#7G34MYA(LFYKbE_on`2DDBDJVDS2vwN{AQdUi4l@MLNH;{ z=I$7Tk_Znuq_=Yd&bb4*S{BDrEjhwonB}lCeV=C9RX%HipYjpap9G0_5`=>z;}LX{ zq(A_6uN;u1ClUpGN&wd0g+we72?Mpe~4XfHUHALVKU^bB`V0 z{B9)?@b9&E5`k+fxf1{k&w6&efzwe1GS~kcn*aRg2JF?FYK|}<=jMPG%QEgAtri~h z8?Up~D_w@{iFdWs`NGanXGz4|GJxih8&f%l0zy7Onnt9bVP|yHO$6qUmAcwQTBQM}ev;&m4@@0>E+o-uf+e&#jMFwNG#gUj>F{9q2hBd<8hkng^P z8~ebnW%!c5RSrDV(wM2Zm?>#sReHvtn5E(AM532NXqY?r3ZY6+?lSO~QtbqK*E8hz zHX*}E18gi;29jf3P#C9P$1bWgEKihh+01q~CEn};8fMd&d+I53Q{SO5yA>LC0UlQx zp`zByhnq+h7CiavXFZBhbO;U)(w+2_jE;)pfN8Od>hc~JTAJhx!`*_TwHYez_kPpt z@-?yqsMHP}A99m#N=6)(fTM)Nbv5Wry3H$$Oq}(C$8hNLB(FR7X0HP0*;O@N>zt4H zB6g$_K-KsBD^OBxAh%#O6MvV-iOqC~i^UoxvwLH`<`bcEMnZ*Q)0-dNk6m>WTh`V` zGi6=qzfq{amqkk`$KV-F<+q_XcU+rOe3-BendVMVb_SQZR3$nAd8o$x*8evk}k?R)$u`Wdn9X49f3AOap@{`@Q6N#t~!1KrREyclN z;o-H5Ry8-Mv5#o@3p`r>D$+oG>S2-D#5hIFA_vs$m(W_*UvND8R>y{isjgNMLKJNC zc@fF0B60C&&LszE9*~E+xb=8>LNwozXSM!BR_%4V^N%o3*ZGVyz1RpKdSYKI-x>Nb zYk6Xc-%O#hedO#;Rla78-xEKC>(q?oZVz@IJ^QT z?=B9}a?qHByYRg(jPWb`czU}zB9H@neL`{kx=N`1#&**q4E?|Hy?=QlV+eBPruD=G zvtDcZB)`~KeuJ+#W<5)zBP75}Ld4;OX_4i!$37Ry zKQ3&NX)#WraB-P}ky&+$wn-6tb%dHxZ29XbbB1MJ@wHQ1*4$Q~qCHRx-LDtZCfBn| z26_mUTns%b3-g66i6ScA;fkd8=UFovk2y%;>xXjcS3o;f-6V)cX?hmDWV`WL`oH`TCcQGFHD6T{)x#PZ>hu^wwF?8JNycck%v1y=|}ys!y|o1bVVmyMQ!b z3b+l&AnTDnYAr{F%mg@wdS3QCg2UQCuJ>vZt$jclM%1hm#w__OKc8jho6q>T^%{dG zJb{sY=5i@Z9h98}>(rj+oJ1kTr$AAnm!S#|vCsUtcU$d;LXzrIa21eq7eB;5~|A?N`P*GUcKgjoy<4-NUZrb?C{`<{wWzzGpz6t}98E)_7_xYb zp)wCPjK~A->2%|7I6ZelN|^dWnj&#)T3hX7Q)7r z)UIC=Kk#h;z)&CV-Ln4tMq@}V9js2Va04&(Rxv_5j&z~W_nXSCMGS+p(|Jme=-PDukZX}#tgnAxg=n*pTQ9$)8rQ0pU6opJRATwX~ zZz6OB*2>{Q^R2rsiD>Rzj#MMmc9W47oEu}Y3AE|8Tre901$}$6@408h>@Db9f==x3 zCqPOI5Kc4-a?1qcY@l`7-U$2(>Aq#g20xf3AuYl6?QWYZxL1tPTU1#S8y4)psbD<{ zv>fIsqz(TOseaP^onKBfpD!uT5CJ3Y2O}uCqH4)s$RPYGo6uU7#bGr)G8lOM^>>LV zj;>c{dX}DJn*$TvK7Cn>dpP85lbCE{OD(jpCl0}i9%cdIW8`SDYYw1l(~)j-Zt%LJ zd!C*mFXNkr6TW!#n;#IHzvWmc8VhoIPb02#^2FI|?>JBHSkg06N5Bw<12UJ%`=CDP zDhl+V6f*k=^{MJ%uK)iS-S%Zb+KJU2E7GeACR z0lX;ze=OGZ&Mmxh$bxhNam}QC-Oc5c*M3riCDzLxc7i=i!k(4~W1#U6h|CA%e7Q9d zzGftM)di7Y7SIWCvw&A*DiFt$e(kJs1$8j@HK-#O$J*9GC`D0Kyl<0`f3|v}Ly!8j zZ@!xA_UgkKtsfNWd9@kk%#m}n)VXM%R%bc{ks4FAmKH`B@Ysubn}2;m>hkq?7&1#k zq^dMT{&FPFfu)iaqJQ?dRwygYt_iN?QiaqYjM@oq#5)dtV_zz;r3(z2*IY1wL;j^- zy9dG^3b&&NwTnCDC9t?lOCweR}!S6SdZ0N5dj>JM`<%6+yQ{8Ww99EPRI!qvP@Z{f8R= zu=9+8$9?7*fr7g%j^h~9mbuu)*#ucO@+8yh7Wsv8=yfS_dxtM7=0)~Izu zY3jLZN}v7fiZsn66Q$Q7QB4jm65*6@)$E}2u49U&+_k($Qfe(&{?gUeB?o;H;rt!$5&o?>M3ep70)EAyq@cWpBu0Tq} z0?l)Q3QsI_N`|57Bcx+8a0wlxUfTRbm(S`bx*QR zpaSFe^=7MbtM4I20WLOTJw3`ja74U!DCqS^)OQ0y>Khs~hpF!OMZVCa5H5ez-L|X` z=!r*!=fj2}OWjtPkO;x74}3h|xL7eR(o|@Z<5dOI_YnVJB+?WGjd{j=0&eYAZEmzmMu%#qFAV|sfYajZM;{( zThxymIDEq3>0djJ>^(M7N=o?4w_Yq=JT0%D9LHjoJ-puGdjE)L%?nc7@1mhoryJ1^ zNQs&o6&69IPYT)ocabYyURV$=AB##@HlMPVh+tq;y`bQ=|Cj3UN3g53=1&@U?0**o z&@J1|F{7-nPidITg$dd-W*Ti?25}VHLI$6K9ayQtNpuO32F(*BH_dds+^;Tv z_B9w=Fz9+mdHGD-)~CTUb3kgHkd#CzrAR5?{&sYrrVbFecNTd9SHFfNO0<^LbhbZO z2eVS%YvGVRMqeG=*|zdFQxoQA+Dx(^niv1P{n1RtxK1W(ohf-L>t>B@qYSBIvEP}V z9Bq-U%+9VZ@2yk=UA}0ll_DFSOBZW&vjFk;Hea|UwbzM9JMHOE=jer9(U#tY#e7li zkNGOI6BRQ8Jf;gKWn+CNNfy?ktm_-JsZ)<`R=AFF6|9zNFAXGa)pEK-@9f^=S$-_) z62s2ThGNfYtt)l4c74S)eAih0R)uT1@e3vS%2g2R)N3by+jnF z3ujd&5-IcYBRov-JDXNN;qPY+eR+Cpq%x5yE5p|2LZ z-!oU+wMx{8NqlKPeVN{lQ}k#|5{tLfBWsQdSPJXdhRae;Fio8}k)|w#nizUAlayaU z>H5a@=*Zl>LF{GhngUhQEtab>?6~!%(o(l9hZct)au%!>F`X;3jB%aYPTWc=(Om&?K`EnRFinJ9t%Ml#v-TKHI_*= zI`nx;o)mrL{FjlC<43%V`axJ32}FQ9>$ zus+sS`gwhEm=Wx<=;b$`{ml3h>Z828{BvAcx~oAm?uc4 zB{LLrtHVx&E0o$~=B9u!NhvDMl(DHsOJ5_{rH$} zU=+r5f%z@W@zQMrFD6RgvC7KcrnqeX-Sg&Pob|ZYyY-~+60)X*Qx6(bm~YbECc`{@ z%kp}x)D<|*{)z8iUDq53gkFAk-y01NU@_#p0Y1{O)UBQGnuqikmAVklC33)SN!E6!|FZA3FqE{4UN{bd7l1lfifXwoZHhuSbIh zqbMur)XHvZTACJ55GqzU6@#YWH83_=01s#1Ht~{OM?=RV$fZre`d!h5VL+0H4xDq(0hqsyTaHBRpojmZK;_&R1PDqEQ_lW=-5oSwDGq{)Z5_X;3LHW@e;B4_PsHY6T2dx({sHFx?_Lo`RB}FN%5gLRBFEDdrIUB1r0&>v z+==@H8!(P>BkKH_r^}jwJfer-A)@1mMzD&lF!nQpmdKE6OFjZZZL&Q-RIbcw+;;`4 z4}stmiEOUUQf+EIV6C&V?=^}jJ0OxUKh<+%RmX7un}}GQC7K>AEu4-?)hgkVUX3T& zZ-1_l^Af$*A-Rh2n;8H0(mfuJj91}wskiWc@jWP0d#Cb&fZL(CbArOZc`N(n1-W!A zH98g^;U|;$fZuO+|B;95zdA+6t5^L}YQGE|l(M}`Qy+u1^S_NqK~BtX>fyjk9r)dF z^Mup;pTX}php4XG;C0=fqoncvk2UVQpxZh4-TzNNK0S@3v#=ZP2{`ff(jn~7=1b_Hg z;w4_UH_U6~ng6kG`)`FT=+NORNl~ra{~<5?z8cF6KO0i*l5pmKOAeMNJ{j-XXWpWJ z_*jq^{A~N@7kOyEouS`ex=W(b-=2WgVw|4tObu+yM3V1`WpW|&tnGhs0c0w9&lo2d zk&U0ve8QQp*H)!hE?$bW9(Lk}UT==J@B+BP6!B`PF)=>luah`iJ1aAy1{xv;ku7wZ73%g}i77zaaHO+j5tWSv8*y5#w#{FAx8ekBF^9h4EW zInDhA#>#DDocgH{m5kb&Jd7J@d9qM4;g5i+yDoy_Mm{CvLSaZLZQG?kO zBQ33EWquMZ4NXEtMMc{Wr{=Hep#`chObM=rYSxxIbNATo?v6JRtT{8RE^Rf2amiHy zU-R#eP>a0vJJFg^HzgyQJ>Ju;Cpz1QsTPdyYP6F^h<4B3^Ah$Pl#`lG<_3&z6s zJLca7krD%xM`uEY0=gdw_Hv-ucQL~^@0{h=!O0zmsRv(ho?cB}uOo1FnE(E5?7DHL z`CGo`&9R8Bqc@#%E;YXkE7ajzUD}cCZ*3)muA|kg=nhAErmO@%K4YJfCL~hXs(TSg zCGl+M42M0BrL{E_hLs}<4KUapc`P?>5uta9xIXO}>lZhV#OW(EH6=3rA$!52kI-6k zXcNV*Tqr#~zTG%uo>^mCA?2TYYd+Ckn{#4I1y6=?v6#%SC30QiEv{%;_)ulZ3oG^F zK$l9&FW9%a3kHRDdGM#CR~L+DtXi*+4^}3vdlz0DTIXA>uhDJpw=o^Gd-0nV|ed<@Hw=l2rEFir|V^@=fMa65#5leHngbDE%$8ZbN5)YmcJ;^l*{2NC(N*IKOSxyI1vS^ zyP^rdggqj}A~ke<7suRb*P-9!p}OP&yH4iD+d+8K($T)dCU*6ALH^D5Fk^%26MM+k zaqoZVTSOP_Fz~whlOO&~Mf~>Co$?B3KJ0m;@B=>Hf84|2+kU@&_g^o={XtDp=H=?s z{4V9cT@M|L9do~0{SR%bcN@eZqP00G^|$Z-{t}OD{Omr}`yZF$1^gu*nbB>|h@?Mw z8t}k0|LX$#-ur)kV7xe3|6Zc|m1B8^J zpo_-3dU%N9efs@GG@YQ};B(p8Av5Ci$_307xV9S_$vzWIJ!SUGckL)vRq$+F4Y$jU zu}V!oJ55YXjB;mHWu4cpKq4@u>;$LDs*3~;1NJSs8a=BGQ?|zo^*aQ9R1E*ud<=I$|vif-o#@y+eD z;ggTW)oS1ZWvjyV>yhhBM1tjI#%%V_BRABe>!hyY{Ojo8)!u&qH4*j@{}Kl%ph>&< zcaV+&7456=)I*CvJQTEa_xVndR>}PR@I(oQ;v=4$9wzvxLVKVg^gn)V->tYa zgURX`d4u(bk4X_g+-u+%wDvE7K5%zr{t)+S5R(w@<#GP+pOrL#pA|8F(SGqixAC7- z(T;^jChGCw@*h4XECxTDI)A_K_w4P#yL00u21i8SOu_TF_kVlIn+nF4E}vW2@t-^S z&wt$`Z@t`fV{f(mmn1i8dOEt7*(%S+*c3CA#X3k-b7}3{<9&}EdD^k3VatgJd{$Ri zb4-VC^%h$uN8U8QU1Gb)a0K(XKg28^%5l_xSa>`R9@%q~sSNw2aUpw{12zH0x)4yR zoXghnVA5{b%qfIHyDv*r&b6ut7Q^mZXfPnsXkto7<`7%J?97<3Z!c0q)m;>k*^vUv z9ZhGiKlGH5l}&7@y751M+Z`RAQKPvoB(mNe+nN9T_CsL;K!Ch4hi-izIbsiW_e6ME zu~F5Wk)BR4sKZcq{$pN)QlUwd6STjq^-E?$0`*w%i$BDXb&zm*^}*$)%a5V~sP{cQ zdNhK~l;O32Zvdp6gaF$)4m`7gXK3Y~-qI-2_<&gqO_f^Ew9=lbTu4$7zLj?7%$bVE zdU%2Vd&?#JKp-tYS1wPrgu)aFMT$IwE@22OwK1^f0g1KapjhsZk1*ZFzyAnVt_NpE z3&4>!AsOmNPhO;h#CCR$k|{JH=eTS;7)C*}PCY;)i8He$C=IsfWK>n@p;7S7FlI%8 zVGo1ZxdXYp-{b;b22eppVe}T5!j}M9ZBvBt){ElUC;D)_PLeVZ$Cd(QHdE1uh%p2r zE~N2wj!v;0^~%cw6ZcqoGt8nJK|iXTr+0~GqfWvp=0WGk2$H+B=+Dz9Cl~Y!%E`%T z?Y~6+-wJMA@PVpq_Ve>4`@~nT1g$CDq{Gs%*pD_v0>c2+Uzq*;0w?R6cR(ar4-Eqv z^gLkhp~Ifm-Cm60bCLOLE-1l^zXZ~eQa#ll?J$)%suzG(7vJ*x3r+#zSggxh76Xd z2iCsK9OVL|t1xCkqBII%#P1Zv-CE-w{LiEYHT&UevgdC^3V&5OyXShcV;~9MmZ{99 zKUk6v$GoaOUUTQMB4bLK)w1n;A4Ln-^7Ft6;3LQ>;j`AUqhubLSx1lSwuVeZ{5;aO z$g-vZ-YU1@GU1-?kVJdVexKUDz~?v3wfBqy`$ENZ`VlKYBHPdqXoTF>p8YG1DI3leUJ&iZypeCQ9A6?1)kcVwyhyeTv4SU&hs z7Gu6_^)Tm{#w87GKprgcvR$}xGn6DSh83u z+R$>BjEecdSlNMekC{& z02(eToKc&M+F7uzG&HW^sbd==-SA}geGH~u+mo`53_A0GUwDjs0LvtrEBtaBF0m+6KZ>^=X?aOX1 z3!+y7S7{g-+1A3C+6qLq^%#$B4wC31p!3L2f(*+2CTT?85MP@fS=s%vse5@sig9sW zNUFkBtmt3i^~^C(AERKCE%N+Ei1$egt0-+_n->h2=Snn|i%SXTA(;)mU<_kv3l9bX z9gz70o@{Q(>HHe;fgEk04E0L2Ik!3}C};tVz!D58=a?nk%s*bJQF5%iyZc!;MRNiV z%Fgw(x22;-L$hsp6$e$mnue;!(ndbd!dR7Q1mCL94W8jG8lwx#s@ZRv6P2>x%%3dX zts3`nj4%%+P4acIUxNSWr|r`0HzobZ&6r`|>F`n2UnctB=i$m-vLV4-{PuetU3z+YX3sh~ zJwH&|s;ygnUS*n4e)GURkiX{Gk7~AxFJ%&Jabu@XoV#&1PdOdB2O8#jbDc{K+f7iQ z>dA@J?Bb-6IpI%4PV&EwFW@H7_kXFFGy(@_~J^LreuYXr!d20~tiR8>~nu*Na|4+6-SlG`m+u z`~~g$X91MsoWiS9=2gZN($t)_iZKD!wlC6ooIK|*vx+vwcZZJJQZY(580na7< z{5fu>X7eyW?-szI$5UJPsGOB?09*4zEv^E{hL9_u$KQflX4#l_PJgvQiBv9;&+<$M&|FM9`#jjGWe z*2nURn7XxUmEU-L>QMo(<2xLItl;ZbfK<460ozpl+Pw9Tz62hfnqbkRO8L=09$R}u3S)>G@4_g5T;TKdbyKhHEevVQ;EZ5g_yb2xD75j;KHxby35WmC`=|V?QVQ`_aTWT&_3)V|Y$;-b`WJPyu%C?z8h9Nn(N7 zF01LyzBcDsjowT?nHQoEuZ(rewKdwjIm_F-UtvkwK`H3@o0FSs^RpR=wgJ#ytX=}0 zgpD}ipG$4Cb5np=rr9csfH*;=*dkH75vIRJ&JYMB7Y1n6^3_pWjdITy=de@X3M+&!7Z>PPvBM!8qobD6eU|6Y$JM zDZzxl!K?529N$B6pZ|yzpy|?C48M(jir0K+JJbHDIiM@uMxRr!HMVuO3`VAjn@N_+ z?bb=Sj5^Mzz2_@EuRWjU0Bt!}$L73-$j4ZhYt3pNa9*1WOe(i++Dg7B0`i?R zw}o?&>yd{a=6>))P!?!~r&~6Ndm0WX0m~#0$`A%s6kU7iJ+UODFJ0Um>Cs}kp!2ZS z{}L22X0_m9*+$L8dP9ui?Ktp0)~7LcHSA!1@O17wFxrtQ!@~Hc@WjeI8+9H7v+Hv= z*O~=#B3li)=Ic8bRwrRHVmx@h!`O5aA5QXEh3LEaA22nEjQ%?`Nh|%N#g7+ExUAo8 z02LtB8#>%1dX=J9MHgT^yV+4JuGbSw>b&w&x)BhxW1>&OTHoRwJ$`mX%Ngd~L~?3G zg=Kkrd10pekT`cG4E7f>+Ndgq-Q6!(=)&T>*^gIE8Fy0^d; zz47ql(;)mpqu$H51LjYdqCM2kCOM8SAgDitg6^s&sM+ScVNV;3v5GC`{zGvg_K3&o zx-;df^l9<)+dEdgn`vn@ZEvXtW`Iw9DK}c*Sv+6gh8|W-J$QYD|vZ4gYKojg05B>sG&{1nc4>jd521p_AuZG z8HRR?%a9n4A8amzKrjBtXT!9V6#sKfIthdEm`ANu-o4QWl;c&!-1&zx@)v>M3Q-xz zJo5AmNX{$r)z4;?iZhScK}w*_gdeDf#Sph7a(?D#bu80LF(1^q5^8))nI7i2P<4h@uStipttd&TEu znLzqKl)Ohq2lzU@PQjFi?!Bli;pQB|t<)_Exk5<|XrRd_Lv`bC^ zo+UR%)U+d;tI}QrMW}l*QyL#NfqcST$&(&DiHRJO&zttkVFO9(iX1Jb6@?cc+ewt? zNK2%Js?&;++PWCCmE%_0XoXM7GpbVQxg;%(szjq_$F5Pd(WYb}N%z~0J*Ct!cB9zE zz^}o7)UD^+g%$7HTdB8gPdRA3mY4*Jh+%HdsTmmYH*ob%VH@y5PC2s@YzB>izc3Et z7YpP%e1_CvqGbiY-q&TAtM-yMyR6-oooT;{f`L_M-gxNu-73e>+TF$%lGZ&Ztf@|uV z$_`yj50Dhx&ZJ#%#!rmu6SI;m@Ajg;rZIso)rrjSRAQSG-eh*fkJ0PdC74!k zmjVFwU4VrmrHpYTsF`(-jh&#Jgt)Zp?)B=1*0cBU0~ZLOgd&VuH}xmb#KWxfjLasw z3*=mZK-yKkF2eiz6Ec>DPT>tN#MFd2onLzg4&TPT#cD`s9Ex)FT&bD`Uf2-#BS$yo zcq_;AaJm5VA2br1jd$R2#&%-B*UJ5lMGUxel%}`6ne}R#T2PXC@~QQr$qfoyH%Z4A zZ6mR2@+bvQ;@FN#M&}ukt31<&rtDzNElWh3@^B9X1H4P9u>1O zC(yG8%~4T0eNjGsv@gYixI12X40%a}-QZtoktvyu_t65wELWJaW=G&4SOd)qj1KNX z2a~tqIc{4sl_`g-pt^9L3Suph`VNo2{FGbs!B?Tm5xx!_in-AzR&HU$l{e~T-=vk# z%6rynI1Ig*QYJw0B^vSI0JQLmBw&TUM8)&vNns_-d_n+bnLHovo<4|GJDtgU=Z=T; zx=}R|0%7HRJaIFwy!*4z&)7wyQfw=YtpJH#tmtmfUr$O)t7m(YQa%MhHo+wED4M?D z)Ffm?Y6Y032I%65usKh+Uz59!Lpo1%=vJJ-eq9KG7516di*j=^%F2ckI!;{+oby@^ zbg__OY^ZvSGe0^}GMk0N%^HvSqlyyO$e@KCB9(%Y%Uus&}-8j;NwTNUsNu}Yfunvw-ZI*nkYaWwRV_R&^n#$l6`#Gqs ztaZo6tj3zhdZ>uCtZy~W6yN9Re=I(<9T8;7w}*~pD`wn7O3)old4a8K<@Jlo*>G=< z>alV&gO;$XJk-80WiKoKn>=nGkip$!H5t$g-rfr&d_nQtNdK{^^}23+$WjjrE!J{h zBb4S;*K!mm@2en(nWl>ihcu-8jMwe*4PI5Kg&lErsp0(@FKGEUGAhIkC%eq&yeM`m zcQ_I%#9qLHHzh6vXn-xY?YHwLeBWnozA(o14?8|Ivr*$X)ZHQ;cf@>i8^v9)$`tB( zUc78eJ~P0K;p;-pO~Bn2JlU1eYVM`8B((TfNxUtB!B3w*1b9S3o+->?8~`E8EYU=Ib*`VoE4&=T$nI3)f9?7GI- z3Qdg3lI4L;P^yHaFq^Jg>qqGSi{b~b#5Tz?s+DY_KA1M@A)qj)L~B^u@(tyar>_hY z&&zln$W&s{Ljfr+we|o$9RQ4-7@I3If$j8zkn_C}0NHRd?Z{Gqa_g#48F@`KgmS8? z>9e_LRzJrsO$(GL^|d&9Eehi>!B5W`Q%jfiFP8vGVj!wO1I_lB>_Lr#cQ45e^9zE@ zl`(-NPqS6)$G&{SD1M;638}9ao^sA2SjbtO5m+p`K2xt=X7_g5?(t^l7oct!hxyGS zp@WKW#8`DpAZTc2-tWSaNpeAC;G?U4U-~x@MaM$myQ!aYv>PJ9UriJV&&1t1gFw-95GJkMe1qFPGg9B<@Ucb+K zj6>9CiVVszLv}8Uk7sk5Jo%MnGkZdPU0gR>vGamG5VPf&3j~~uiR!AALQ5Y7e zK1bDq?Ft3Hj|QL~GYAGq-Q_k16=*(-KU{+#uWV>Hfu^G#EY_&eB4nlUjcKv>R|ua; zgPfW#uo?Is%(qGMxq_Vm`JX|cZT$pc8`sUJg-T^!NO)oEk+#xji%Y1)7P@rAX%Iwc+91F70Ur?RHCJLK7Q|w14Q}?AI~M*Q#@;$0s&@MxSEK|{3`9V} zR|OOaNdYMpl}1pIRuPaK8X2U;01=h$?ii#SMQNmSNTpjziGklf_`dft-2407?|+Io zXU;j#v!A`!UTf_R`b1H0yG}I&Dez0V5y^Wf6x_z?`BVK-fJ4PNCm^oj=b+J)UnJR| zXBr9)B3jTEV;_%nE}JOuI=6cxveF}*(QHn`gS(>ybp7`e@xD?abLDkZHwS`5r_O%C z9z2@fS60gO?f0kHZnW%PR{sqrrHq6s_P5Cen%(br&n|$!x_&*_T>0dO?Ln$Np$P#7 zq;(L51NLSoC>&-jPyTz&-k=8F{e*4W|DX?xw;=u2BCVSqdmilG@9_%wVO&M@#{a&; ze;g>tf>g9dqMBLYork+0CO(9*^U;6Wr_~|<;~||0hi4Sit9SR*|9D6faNXG6kIeXQ z3xAKmOOS;AUgm@?4b{zm$G!jdC#E8}?*G%{%V8~|RffA|4H6$^)KMs&9lVXnsaM-` zSmC{Y59Hlc%pWkq`{{o^3Go4F$&Go3Q2gJmH73QUu5Lu62=op0#Kn?*e0!dEP3pcb zcl%L&UA#+(pGE$cGj3W(26oE`94$pVm;o5+@TZ*S*|Pwo6#rk|Xa=Et}>M3M!O&DhD}vXTb=N^mtHEMRE3>4m2paB)#{bt5M2 zmlK5WJfRh*s%;;C2u_r(!R-y_ENCv+_ zg|^78y9jcpv)&qr*r>lpCc}q&81DLYWP2SuF@(+}w7V#`dwapA%ek%TeU(ZbV8w|+ za8DYg8~pv^84Pd_L^)1tC~0fY)z@pRCH4bosQlsF&ubM!oG`! zpyq~w2hcCIucGCJb}}^iMhCZXgTOy)o$|E)Ug1I0b@l+>ZMcYkCn{jLv?&@zy!$?y ztqG4&F}o(h6k-CuhNEC50>$KW9R zuzF4j*5Zx1lNUX92b}Zg-gWPb?kxa_y3^McRkoJEXZD?lT60J{%oYvFq)OD!=$8!A zp*|kFzYsi)+T-vv>^Gj%;ysOD6YJ6FRZJNKuK{R^H}owKxpG8Rzyo zW}DW~QRQNoIPmfw^*@D97y>V-=Ng@7?sYnM{eYYqTYo}Huar?~4h3uxnJ&MufXTLI zZLcu0B{j7sdxT+$F!05WUugRk+enqBjHvVx*)UpSX=eH#p zc9Oo;?*QE3c`w_^29!W)w|bG!BRLv%PFuK46dd7}h}w|16M)Czt>Xxq@3fC&R~pRBK(=ewoeK$S7>p zBcwS|zE6P}$fC8t#dvcs(dNYmx3J~p_(fP-7wbfaa6~3~1=W7c!IfhL*_)Y@R zw5+#5k8ZtPC0pMB{kD^ZY4{l#w~5xW6zA&ik6?`W?(D6KtEunp$)Ur?{uwnmwRxCc z=#^-)aU!IKbue^xHeaxGOo`KR;YMT{xBn)Vaa>t?hk6N$Fe!uydSxjrz4wB3E7}k@ zgGic@tQW_h*u{0rWw5Nnd#X))efuwA!|)t4W+e`w*RP_&s`Dc9Ww)Fqn!E;B9v)%1 z%DRqItce>uJCNwI+?OuG5SkRJ@LoJb6{D@sNJD-v|Hp(%7z4>!u`d`7(c z_W2$jUPXOw`^cLex{dAp7gO{fry0pDH#sgo^>Iv3Oh!)<^Wc6`<*=hlpRq+&%Ff%y zbk@^%*FIWwRV!U?eKQxOGUO?E>1VJ0;Yz-u5yW`oY!G zeH)rS!Z@#`A_a@n<2UP;A6%H%!s4+tq)xKl zclil^TY=#Dr?|D0D5i(g^%7maZ1Lj;8`p1t%(M9S^9cUTS-SLL6TxmEl3vkU1AtL^ zV3BzD8AmD3R1P6|tSdBqcYxSOpzX@z*kT{}byK_em{!h{I}<}uq7qyXDA(XzIg4Fx zfSE!ZPM;<0av8zo)o*Uax(8@B{c1sblA)SxBwrvlu-d&3U0iNOJy4)TPaXYj`^jZL zY`t@9pN}{(35CnG{;CBdkke}j6R4v^H{}X>(4GwBwjX@rYb^a;yc?0e&GdeM1#mxV z?8-N^QpxW)8a1Ofqcb-?6`O%?O+|*Z=$^CsD!I8xkbyZr9zZ9j#B^tW1z1eClaXz; ziQ#-FuDCO|0w@snXle2@Y)+y1J)J1Z+b`hz)OH_f$72(Pyg=42SX_Jn$Cw_nLx{EV z&5r5m=}|BX{s0Umb!TAq@u`b?;6Ha#NVd`cnH(3Ap136b6b|ruM7N2QeZa;VZ+-E} z2Ka!?5ELmi8wvK@;3jf|&Q^K&>0<$Mkhdoi%f;=Kh-Zte#^u?Xp_ILSyi#eeHbfTI zMirrkTV=@H!P}^FwuvX%)n84T7StaRPDhjj2BOojf7+JGuy2cJ=O&{z)75h=4eIT& zC}BN4J;6Y_yDkB<`QM^8AC5Uphx+LX1A~433mM1*PU{6PCZ$g5_7>m6Z94eap(3u8 zpg;yTV|t`50~q-w5KulIt70=@XsZriJsr3F1SnS%7I$k#R(o3W99DJCOg};OE^QOd zSY|segNQ(rGLL>oL=fQm4B&>utBVah@={?}n4hkafaslZHslZ#zHE8o}qs&ya5Tu@rq`$PVu#q2m&E)(r?Idm7_ zJ4OVL?pHU#T`(-_oFQkEjr$Lj4$R`uRbI1#+(bjKRy} z89pNE)zaN1D?)Q!nw>U*$8Cie#okoYyBz9OK_MCn@OF@d!xjRaTN2zuuoq z09DobkLocSe{lX_a?6Vl2ZlboXBjjxBx>Ig-G|r&0et`I!u7~=n!t5D#30rYy46*BCXJr7*8zAKT^iip4=G^OmGybptjl3O9zRs@2yJGS?g(tXH7 zl-w59gN3ap6#Zh}WV97pjr*}&S|<64+gPRRxtTDmF7U&yVe*;dk0#vnu*s${vshJ3 zL*%`0)aMQNRgPFBO89~2iC@ZTLCYIUAOQi&+jN`_oAngHn{^Z?;3VgADtp~}bAA=W zzy|t;S4ww>gh1a=gj!yFa?#LSvB_sHZoFzJ)Vxn{IJA?_9KA9VoVDMynBf+JVmm-* z@BSW<1C^eO;&yBa(3S0HK33D_T0kSxd+hQ7{DT3cq>$t8RnA6b5_}{g1@0fvlkt?Vbqu*jZ_c@qgGsD_hx+s##z@DVxXRFK<|t3O?2 zLwGM(UKpvWDDaMq_^vPX#H-=y7v*y?rXx1%7jn)%zsHD>eQb`vC+Tq>l%5NCQV!I zk)30)Mw_XVg)~FHTD#2)~BxqKGOK-q5zr-bmlJM$7pJ4EZ-Kxv4FhUJ0>=Q9cL za$9~Z&Hq2b+Bazgn0HGf_GpZBzLp?DTb2kO}PTQ|M%UO)bVLoUmz?OJkGVxoGH zb9;f)68x70y>jXmkL`KflW?-#U*8DYg;6144LR91>r~7BTEB&#t5ZHvhta*M(K24aonH_ALv0`M}k zXY`>xr|>Jd^3CVEe0V=*Qb2Z5;3c)cU@Vk^VHJ1|hOfe`0Dr{c!M`=#A@ zuY%xYQYUxZbkP5}>Fi)g*mVSnt^?7<2M z%+lAdUzg^A02sCkqecp@u5{}*I^fx`z*mz-wmO~&J(CDRLbtCg1|Gr@%__)zZbyil zK(Cs(=z!Zmf`R(nwY1l3A%@5f8o6-@wdAcU(-i)+MaI-Z5;q{S!>YeNQrpcgNX@dGD#v@js37i4g(&52K&ZT#Jv6K9lj|!XB$Grf9f9X6tH2 zcDyAr#E3kX`ntLs+aXE_3<-EtEi^(#K@HyuHa;|54_v_Ag_{2Qh1~dwpUGUizN{oi z^9c-z*R#Moj=Mke$s^<=Lq7}yvwIXeC4u0gtbUkLG^}+AdUf=ObSL}E^a!d7dvY%pJBISajPR0yQ08wbp%E`$3-FbtLmKfhqCrKRPGva!j9MCh!pJunX! zzbV(`{Z@GuynA^o<`BqzM`u23QQy;E^mInnwtc$9e79M=VkjI0F2NR}t%EAbmn2jMI+R+{viaMz@k#~jSAzq!j z`=UFmfyow5h@-Dn)73}Ql7|mZ1-Vat*qD@}r~zlM#QF$}9>5YNMq2hgB#==L<_xm5VRcTUBJwnG!CMifKuqCx2)UD^{Ek4(4K=@&pN&5DU44v)I2+e zANng9jztH*CGNi}M;qi70=&nwpwG!wLH!}-X)-(=+K+G_X>GKy zvA2#Cf_3RAGQpHSF_Y4?g+p$3-GCc$K>{1%^U8T?0mVMoweH{+>{}Re*uh)HFh5tq zzJENQH1EZNwof95q>AsNviZwxh}UosMGZ!sW=OzCnNY74N~aLs(7;J;KqZ z>SrQzvQDeN9XmC0jr>3Mt{3!9*_k!08gR^PDM*)=RNIy{5m_)Ezf;dSIxT^z-5UwB z?qj;FOV(jX!YlbuSt096Wd#xcd+#Adeg{$TlMPu%z$Y^NK=tT2*9LiUY6v=dru4oo zdtN}i#$01)j-j1-DwN(!K9c|9?`4}t{)?{%`)=c8tX(EVbkzXJyr7Cyh<%`c28#$N z>%mF#+4OX{AV6rre8vHGc`d8!x?#yoBf;a+?y0A2HP&NQyGuT62xp&D?w2*2Zcw39 zu+R5xM;m_g0m@Io{ug5tJ}=Q*uXu7{YcDn3sLP48rWi7k%vS%ES z8-{iI1!NA)iKi?=@qeA+E%r33b8 zidEQH`ZM1v)h>Vi3T#+pgcim7McDvgb%omx2VZ=warNGJ_FX3$>4*db<%bMY+L>|% z?nXVEHR)m@*xEUxcBja1slwt(c2A93i%WB5?l`1<0XVw`%)CayDW=oX(FpaAR%!HB z#kKs(l+)YzJ4%u{s!RRPks?vL-=sb14!21+*Yx_#KPph|?8#Fr`Te$`Hj4>|#UB1u zh#|LP$3VQv-AcpbS@$3r*}x^e&Cj505H_cNxY*gBIJeAEJi|RbDL&udk9B+ku|G|- zu(hu2Z^2PIxw3=fs_z?*Ctg}dwDGbO*GI>K#GK38csvIVrHDj6acP#vWAj(Z(Z6(p zP7ya)`U=a8bU|0GWnm_+%TcK0M#71ucGEMxACepKSo^L|2}3HCO$-C47&I=2nt|VK ze_M}HI1H-heq2MDDvS&``6E%f*nas4F#UEUO4+ZGjtuk@W=c4%HNrgiC=X7&7MGLr zE`fm}@}}T=HwPrlQgMf;Eymo!?Aj&wSLO#%<=&gX%y$SnINNCp%zPCeZfvS-kr@4O ze<)f1Nt7eL4bIxp+kMBMJ8vyUrtj+nR_D2uNaD7#pB|hwz$w=)omv9a@*>tl=FA6& z(~(##w)tLW@qrF1x4FJU%H43@e0iL`kkk*YO}&MY+D@W4V#3_eP>?uvscXN=o6yQO z^Ro7C`S>)8UiGY&eUWUnn@LYryszBqcW6X}uNKNar62YphDuxI)=YK?#-1Ip8Or{)SDA{3pvxOZb86*w$L=69AJucc^l)eDZq&tVL##hx*VR3;-ITc@>oBZ)? zuG}2D$8-jU(2E#u-fK!ucq^P9=Hz2v{HV>!mVdCkif+w^AXj^i&MBuqp^D?%=&9CU z8-3fiTD8ghM2JUzyq76087!Zi`fk^kP>9wvOcWzlMTGmAxC00) zYTJn_w}EmKJz7*6HB0DE=Qju#u~YY&Q?CWdhc5xXa-!v?`q^ay7(1QwquugG;A;g^ zu=g8|&0DMJ!miic^f}?IdLC-GrcsumJ6)7#jJ+$iJf&mB+7gWex~$2|(&IGkdDhck zOJ(V26K!No>gT&V7s&fw z85p1?2AlBM^rg|DvEA`#{zopgGlu*Py1#5vux+>t(AmP zNCRvWygstakK(ltTw_kMR!vJ#kfFLWKU0T1Da6@4UsKMQ$yzqzVTDaZ3Rra^Sa=_lrf5E^Wer zHir(PRt=my=E0UUIDFpBtxrp`N9+3&J z`6#V)Q~iDZojTFQBrliKl*WfaI`sk-u8DzPBcfsx*|*M2uH8=f~30(yRvzc%l#VZjZ2t zy$2s+<6Kapp3yZ|;=xkK2+fu$=e{#-DSEd%9gmtkcw%umiaxBZROQZ{GwkZmi__+y zLvE#o1oRr={{GS=QIBL$B3xF=6-L5b-G}osBOr1xJkfCJhDO;&|9l>Te|&w- zZQPlrXdkO@)Rq9&^sP#u&5u*%v{GQ#6Z#=*#ugrLCoGj7nD^Py*RF_PQY~Se0wd{X z*_s}Ey{_P;zf_<=Wc^YVF?86u>BWk?3&Lk@3y}1u$Hsf{USz;LB8?8E#EEtwQfe_* zu#=wTQcZYK#BFaf{qe_E-??w!G#F?7qf1KqgnK78xI|9S_CKhp;0<{HHE!daGK%Km zwCO^(JR(hy{9MKKY%)IZ**tCgHX%|CTCV}QS91PsyT#TL!6RT~AbcENu7bP=pWUKt zX(KW24ZTvFW<2K|i(2I8ezDBhKh$}7h~@_&iA^{VS_OtvjK&%45RTo2=@TjJ7yO4P zc4s=gG_H@z7_3P;veu$+V{B%@-P)+UX{>{u>8kxg9M$P|mRX?VQzT6e29_}P+q^OWbBAs+I4<2ueL^3#6>c~1{!Z-8H8W{57f{<~TXYvUz)&(Q9B%&=m?0k@EJMN^9|-`yM~ zPc^2t-;&t8@@JPFF=s3LwoInA8@k-*61QW3F*RIaU_5@9a;j)YuWcQ*noLwGnvs!_ zXI9ejtk`Zo;BV~%zoT(Hq;(l2c+{JB&aQ4(C6Yd;KQB-D%m{-}wUT zq*=DU3$rNa-eT7F<2K$Zo?NkiYs7?&!Ei%4CsY}Q1;IO2b58NImPC?Lg`b68_P|aa zh4jX1tFL~>aQ0f2JP>d*Io3BhxRxI&OfPqpZ*??sh;4p9Lgy`VR8=F)n;T!Dxp_UR z8$&W1%9$%DMEtOOq;WdpaB*4qd|Gznv01g7#pZM%yaMJxZ@vr<{h}i3q|K3+zd#*c z3qZ$gOc3rsM}V23E7C?Cx`3TWYL^w_B<8#zysV z-J4T`eU|m?h)seZ;4>YwiEmx6nDt#L9Qh!VCi;3gqZ^qeZkRgIA_&Ct96mJEA$q?C zt7v2cm;N$ep6XbDc~0s*0OFr38UWK0mhmvFw@(Cku;~-X?5oIU3$K;i$n7S>GksN97FdbSkrteJD`n3acqyhPHKjm!iOM1Y7y|S;zDkSc+(Tc{(AN zO54{?r;%&NAO~5ow!;*kbx@qh5YWF_WjmYg+XqC<9s`b&ru)q!J?L$1C#Ypuir;ch z&JlE~QCh^cA#dE~7Gh2* zmYFiwIMO(p5g19dS%y@dL8Ajl^P)@V zw;Oe%-Hp|&nAQ82Tl9+$iJ*cl+qsuZCg@pI7*{?ra%bg-&a2|)+H`xvm$uKYZ-2PP zGQZW~_+x9^hGV&YwEOKMk3oJdAEMz zmA_QK1K9P9f~hBC*ykdihIz&XcLS~v65qqwI@}b#M8b*tSlBG(%wtYM3cX$L&eXrI zA8SKG81^#+65cm=8Q3Kwk)4y>L9~Gx`+^4Ta0%wwDBFd2U{j1=nEz6uR%~l3 z&5!djZocAjfrg^2#Y_XXE=!lDl{YG%V_nj=UHjzi^um zi4R)xp+z2jB{fd_Y7M2*=(XI+0a3h|*33)jxrT1Wopo7x6YClV+LjxVq6eO<3#@vl zAj4>s`yZKjDcj>UESOk!;vnA^1ZHNWsiC}fUMAo+zgGN&C)OiD*l{s*@C1eBsPJUC z2-ehVYx2`Pwlwi3#>V6ofMBmh!>Rcve;@6MLqM3(9wxRAvq-;WY z5AtdsYh?BFuk9{gqYOzQU3dVp-SF@@Jav1sw$2RVL+`-NiP0*ywaFWv!(vYL{@{I% zr;VwRLh_r}$64y;omPd{zA$b*;2T;k-!4UlW_DgdKU80WVK+74=@Oo{9<b&AON&G|f+3(D&OU>6~sQs`nvzTYA7R$G$%fnndXBVFC5~U#c=IsRWkJ?A3?yJu| zWB|p!@6m3Nt1ni#ltDdfL0^6dv13B4CP4fD7&?52F~^#oF|UF{=ttibOWnk4d6gLl z@Ro?;shxhYSE+&+j#oF;dgh=*<`Nh*)rhS2owXWkc>n(FE%kmYqd*ock*94nNUG(* zBIIFRcpzG05%k{`MORvfqU|WZy`f^-(>8Ot5i+WDLXmFr!(rF&40ehR5f+KCqP0ly*v?GbNJoONCLh+?ZT8kr zKcK;V!bppL@w?d8uvnUyRy4Fs+R=DPH9WRgx1!oHB-L+d&iaV1CwU~gR{SmL8TCs3 zELhsoAurHp?k*C%ocdPl%7ah)dWvjPbLU{t>RF+P*u#b21DDqCuX;F!UwzWd)Z!8) zOqIeuC&Y!PJ6WS(X8ZD-qYK2W{8{G-~L(~k1FYGFwq=Y=AU_-d+fCG4g6Lu9@!-dWVgh3$aX+h zyq?1t;^@zoQE+YPt4jFNl*ByMGh1!PaF`6a38|OuR$*7qA`r214G>;+r>@XahVX#Y zd~>YDj#l3WFmDZ?3G-v35f|=h^x1IX!&t{zd#IlG7+*ZPhYiN`;N}o)IzQ0m-w6o` zN$Yju=jT^%B0eqptRTm%UmXc{FdNg)n@&KT%66hz0_dkHZvN$f7{@fxT;dG}Ke((1 zp9v76N16#N(VPieg9!Tsgb;5#(|rc5(E_uqqz7PVU}6&BHLAS)<;f>Zf2F?U-QCBk zdAskx^PV2+8*cb5ImI&sV0>o@{e?P&mxk;fC|c{F+BL&1@<)S^sng#H%E;vm>6}e> z#!YcVa)r2L<>IC~Qb$*MQLF4SBy23QK}=ASuV`Uj8|IzoV%_O;|I?ijmm(^td?ICk z;q>ls0?vEtM2M^(xDEaQW@;^wNzC6>Rb@#Gv-CuauMl)?e(Gzz(1ZZc3lT%Pktp}W z3+%UsX}}wAIqmB;clVVl!`#Y@NW2*~tQhgy45ku*-yTEnWYm-*ch4({<4}~rNt6ox zgceKARyrVyMWu<_{awJShiuBn#zwoH-m>4OOY)o1D6~6*kO2;zrm~2n0@?>S|)c%OO-;G~NVs2Da`#DE>>+uf`AFZ!ngg@c-`9xriGQr95&m z2fh%u!-`2E2(6`4B`5!RQ-80G;A2r@LCO6RT)Te`E9JZc@x#6qPR#;EZTnFwHAtio zcdMo7IWReDEwQ&U>`V(@Zi*NL@fD(`f+pX&`asS=sB6`a=ynOA%5f_N_k7C}?&e=! zP;~mcA3Cf*AH{@kd>Q3OutXx0EYq|5Te^rBh#MVv?sIkFRS6VO-;Y++v;e96RAKEN zd+c{F_TfJBwkIFQ+YQ|;@38y6!@euy^!#farU##aZe%1_N)*+6=-#_=+L7zC%i@6> zF5(Ye+lfhGdTeD_4Wjnj7~C!^*<7ec%9kGC$A>S&p_W6u&Fk0_v*S4_1Jt*$Wn?DG zvnl1s51{jA@uu1R_&^V1Le|XKFy?gT;_ja((IZz9gCy+qC^UQSIRWZi4~JR2Dn=Wj zDScKGgZ8ZoW-&al>*Uv?g`@5+0K#{mY|DHLukyHMv9 z+3u%fbc@MOwlFrh{b1$cQ!;v849BfqId02==fc9O}-ASC1d$BNomp7oMz%)8&*|L+@RcfCtY>R$j& zOu<&$Be9N7&>p6)RnHmf*4;;W6B4l#9#_!n0+`6l<%A6+pF6nh+`^fX79;g`A!HX ztOoKC`wtM0T*}6yp^-AZV~4BsU>R@V1-jgw-2+|xu*ClM_H)Sa!tf=?Z?jv$N5jA# zy1qz2M<&CLda`9uewz?zU*`LAyT4ax{HHp z*R|ls6_$Or@4)k-N06>se%enmGICJ8U~Mck9#(`zs?@*N*bYesgzvb|Z)QjmWEG8q-0Hp4{Tjm z62g0#inpUAqy0zkcR|Y^vEUp5uL|GD?ags+>xt$PBgDkp`S%yb5jS#c&+j%3(JVo8H9#wl3mT@R9n@NRBe>zKgrz;`+p- zu{BeRM3DIE;=DdYUfum-VQF=o5qHiM+B3by)r9mem?1Luz_tGIwY`nx5<$9ef7Rcl z-F*!>MEnoJA(BNeZS^{`92>Xo;%jg$smwLs; z1I&-L{&^=BP=)1MuFmwd(XzhDyr8xlM25p&30alLu6E#)Cbm!BHgz$F7?1_N{|2`v z_C4&I1kptx3B%J*J+hc{n&7Fpta**)Jzh*tqIG>iqwqXWZ|lzW>x=KsXu)=xTvryx zyQk)~4+p{KAc%Sk@aTos+q>5q#N{Lo_)i_VVupAite+}VE*q(r;TVW59)qIIvYOs* zgen`oJXOMbY|kB~T!*-3GjmHF5AB;I^D}WV2M-x;I5pHj5`-e39Vf=J@i}Mff2Za} z=V#~V>%g&L)`UM+45ES?EaDT*$;Wn|8kDcjKpu9@F<}T$SEj+uF@du$kMsYgj*p7I zZa;AQ1j|1z@h-PtR;6B};g>JGz<+@ho6nkR=zBi7GI9Y1}SGe-4l;j+m?At9< z1(iW7W~@rmq4^>vu=!7x(0e+4aXgE`ZoR2}WK|ml^sC?Tp(#Alf)ewEti2(1x{tO) zS-(kh|B?yW`x06>3|bH?{#Npp31}7>H>EFfKU#bZ4vq zlY{x!Zk5v1Nf=C%aYaIj-zH)C?1I(n2_K8~rmv5=Gp_x*VH#TeCbRp4-z10FR7rkB zT2=fkNJnJa^(z|_#rD}vG@n_qwcu}NJR^srq{)lq<(My{@XQ5rSj!a!0y+i9oSJY^ILi?1-ive z8BtfV*F{t?ggktD%cts$G!y#TF23A)puW(KPlkFs?i`CWw}Ey#qUY08lB}{$C@M8T@=OL zak23pqtx_4EXTJ3X?u?k0rc&8OkSDR^B>czZ7%ciPSKP8J z8HZm~y71N%RdTvF^7K84>UXOm)YgZL(26u3c?UJ9@9GQwSYTj#__0b&=dG@A4TpRf z^8%W_o?cbaaiD-KmoMqfwch9Hl-^1afQ8c*kcTwNt^Pf&Z;3mZdMtm`oL2mO(UNJ^Y+}q%CGU&R_$yGZdeu8vCM9_y7p8WS*_&Q zU-r{dw1HKR7o^EinzY94xM=%f`Sr80I^h=e7UT2KLu^c+Tq3K1;p z2V??;m4>KeQ@T#MsKuo@3a{5Pm@sY|kNA9C<<}0Fof@k;v^E%_Im3q1gn$wt7aF7a@&tqFWeXcHOI*)5p)K=sga1kI zqaO=fIEs|(ZMe6+*Vblj;$bRh0XZ#G*0j%J%AnrzVv7iPd>|atekr}kuFo03SQ~9m zHSKCLJFa}WS}_bqw|eR#GY7bwU6Z#M&Z_rpvvml)RNBhe&^o|$5-&9yI_{cvh;r)4 z6L3?nyIelxMm_>2w3e+)FMk8+6sx9>6Liik1=&Ks=6C%!i(ot7uEGiCS;dz@@eDn|+o zq@C_HEFX6ZgSV%B$ZjA{VtGVw)9%{8;-YF-RGuXJ*-MdS+ojbG-Tb5XG1TRLMYD6Z zgdP4Jt6>5emZ#awFptLNz{W08!W5hHK8G`A!2xC1Te^X{uW-CKbc=)Xq;j)Eqp`|d zlUruNm(E+;#I!2MrtxyQKL?IG0Td^^_tl;5fZ8m1x(1V5;CJqq8Cf#7RPY(e^^BEH z-;M&_-@vl^o%i`h%obN4y9C*eOW zx)TRswAyOe>pTzt_mlf8ASBi@ZvVa&4E(4|I%S%$CzwFu6nOox;EhJ1=}VKqjJ>~c zez~sP zIPRpfP$rz9x8Lf(IE@y2jD^EohD|uYe2<82HVZTXZaf10Lx12QzjeK)bLJS{+lI^# z>ftJ*IlN2QveJ$0UYb2pJSH8W~IWHiE z9m)63kBGCFL`lz9m;Kgj={NH;qKQ2Xjzu=>c8mjsT}x8HAPb zK5hktt^43I`+mLREo1t*8sO^;Oi%^Pp*!w9-eYRix}OpE%vxdH@#_dvT=7iOBAP%R&;rXWf(hduAI*#SRMcDEn-Qv^E zFn<^v*6O&$e?vd3R-o(`1p-!vb^8dHY{_u0936i(|{z5q`sapj;pz zBL|3?8tbp)7m_aGMG$G)mJ@AvMHWi&PYO({lYLHtp0aIh#4jo60(h<@Ntz9m^yH5K z_x`H2d2?y>0D8$PawF`LTGrR_hO78tPrMF3Re50lUHs#ZkkoI9tO7^|sz~M8QeR){ zJ9xee>ZW(a^JTrEeAa3xIdjl4)dJE%6%u%ew431Sk#7M*yL%&x@X6momHxuJ-~;KX zI919mpo{#XKixir159#jefoI542o~vd3)9Qb-uxMyc^uN-wOF0H6?tt)B|-S>qOT# zAsMXeFEj}$^`-kvh%y}IX#QFF29ex7zt@Vb!pcCan$BIQ>@2PV}k4K5!7d1A* zmsNcr^_w{viva&XoD=3u04{fZemTxma5ksSvXiJ^eaYp(;Y{MgNYiIjY-1){4|$V_ z5DkGcl&j#}PZNR&9O2uz_Z6-YP8^f#kBM7P|{;c7CZ%l_3$5szam(KFv!$)`z z5=!%n{|2Y&5syX0V^$P5sW2YTsa14$DRR&n8jl<2y%NAylMmGo1`><^QQxpeLZDkv zQ^rRN-`$8hci=fdHB|FF#LI$i1HGQu{bGPhu9!4VL;fEJ=$D}3$~EBSJR_mYHQNik zSi=)Z7?w}Rdo$vvT|ZoPZ=N@4fmy&ZT3X>K6M$cq{h6vHW*vk75=vNC6 z;MOu0MH8DtlcB^OIG0*da$|3aR`(a2*OwaZ;x`OVoLBs?zXFUXMu@1ar<)MdcIav> z05!ek8h}IvCDwKoV7bh>8pAh;(JBAW%CGJ$eC*Z6_B|ha7Wr6kMIEWkdA7Dt!YlU_ zlFMgpfWV!1qL&d~gcC*&^3s)<#gu$*J^WQndHWVrlR|Ut_(1E|qpY<&q{TMV0n}f> zl!hJAdmN(S{;HM_r&l4Ev4!icHh{)dZ}ri@X20Dad#Wm?QHBv%JleDe@m|tCg3+U} zeHaXk{@q~`kNQCPRNHE0MFpA-U^nq7>Vya zh&FD4Mikbo(HL+e5H)@Nlg{nR)}l%X&_rio-GwOA;l&Y3)u?l-ltz?@(G7xxG`t=M z(C9>|(a&~e1uDmtAuYRp|Lg(nD@IKQ; zTnGuV7Ktjm77L)SDdM%nq{tKn& z9;NNrj4dE#J@NVw>8WE#caJvm@JuOqr(4#XdHMW>L&N3jn$5MvcyM#Hw_iT93N8gr zGF^n$~lavzYBzY=@_ zISoxr{175JdUY;5U;B6ncts$nuZA7gFtHX4N&kvmYcN>oe7`5Df0qFf%o>+WkB5hl z9%G$kzd0)n94uC`tzSN)Ku-z)FULBBjRf@TY~qy)Ge)Dp7VuZ-PsuT8im-(79vV#- z5KZnQ%-HTD4{m|U9o7&}fifwc>6Vdp)TIN@^DMz`XavsuoUIqkU* zrCe@$>HqIO0+IgavMy`nG%&d%ni54ZX8G#hLCv4Q1-DC z;@M*T`+EQUN!*a|6wLc(i^oSh|M};?Ta*C#Nx7a3ev@*|9hsU0iO5ax1U&=6)fY~Y z+u&gr2Q|K)VGCr{NIO5veo=oC1Xp0NuB@K(fI5&UQhM)ONm6vJ&0c?gOMCmtQ-&{s zS+s%Q^_BirJHPYX7ki7i+YWl}h%I{`bkx9$?nT(K-dtlAmT>D2nwGWaV-^z<5%W(l z8aM;gk&ndZ`$u7rb{}n22~y8@>-yMW7Q(j??=qylH(wO>_2}7~w{>-On~nZQiK?NM_Wa zE5_$yhr}zSy7_eA$kMme*Dy`3=ot{xU8iv>(8e9$48|i2>|MzFT;Gs!iQoVF79oac zf?B!LR3!IQ=_3V9J017qSG>lZvPe@n7}TQ^R4=?vvVTCpQM1C)las){IGXE}H5uz8 z8e)~J1H^bekaD(`J3CKHS0WHU0A`XpHfU(>j(|wcAG$ytp0mD6mfKwtvU{?qJ?qMK z>f{5L%vU(*(61ug>9k{ry%|K%x)IEU34fQBrF4{Iy`6cpHU@)Os`7{@HQi|6f8D!Bq!gN4jX%!3 zJY6vq75f=KF`>K^<>QCsej|V*2U5`Sk34QaE|`mXT6;e5`AV-P|C@qLK!gg1-wHnl z)^UvchdC)m*A|S9SRrh%XA1f@;~n<1!vj#y4UD+eg9tG*!d{2#INR>%#N-Phi@A>- zY0Bocj~|}mAt9H8zEc)4DW8vR2^0<`&8C}m*-d1*T@~L(_fm4caYXWjp7HEhs_%$hgl-l>msW2kN>Q zAFrRGONTGR%g81E34eg1zuw`JheI*w)wGb=jdn^Cn;-yzCJkOQJL>|hD>q!0-MqFM zI22}&f|=!H1If3E^qaG_WwWy2l{FJrgF!olfKb!x@QEogk+Zxet%qZa+a~P1=w>sq z$KiM;#G}BuxRkpL+!=#(AkS<%S#ZfyM8w`2x}2T0QApj@0D{XUvg@;A+UUu6AVlZC z5@lW?Jd69s3m~RjYF>J{42uDx5I1`1$t27GvWfoz?1#sYjmBVvcCx0~+%EN|tRq5& z9sMkq_(k(}H#S{o$hpLW9x#@|)5$VyV>YN~J>ZBvXsuJ3*tF@D6|P)cZU951nP9F^ zi9q2{)_`ccQ(2V$Y2GJ_@=o+Wmx|pKQFmhLrD4{xW9exKYd4#oemm$!gqLVVxe?Bl zu4*IG9;hs!N=q~NGQBTa1X1$E_`GapTear8v*Ci!k&skf?O16UZ1hg?$WmmG6#H>z z*_vXZpT&c?j0v8JS=SrhdSIDs30`O2p+Xq+wd5)T1?2?U_t5>qdbwhNDXcRjgwKP@ zBRa(-o9PU-^Q_4|U^+o2XB9yH?TP5dA$fXhwywDR@Q;Z|5oB|ExsYm|$sv4+h6X)0 zjkK>2*A|GA)dTJ54*4J8J23i&r*TNoLy-H@?qo(hofL6m)Ta3InXLK|sO!!1yoDEEifu~dp$5%N6If#8LwIXf*Ioc3`wp4r*vT_t0FyUI zyY_!UGID!ILHg4<3Ks!JOrKzv%Ei><;lmwl$g*@aK9Vq*fR>E3Er|iqyp1J@5>%OP z_V61Ik+4H~BB2}K64lZeO4gM8UkM^+Qg!9y4MIYrDg)y40d zNa$6)X5&`;DUI9`=0D6G#S_>w@pq!vsVG_B|cxP_HdLiU7-lGNldsz z$X%|{PST;pDq;vY>5>NZPHUjtagy3Mq0*Zz>2zxwb@Mpc)IC?B$;EyJp~<*UQHW(N zOPIOavMhQQH90F$4(@%#V@EWiRSB?d`DM%OgTQ+(Ekn%d9vz{a;yJ3CcK`jVEV^|1 zjmYF#mQ7LenPoguiMS2v4Z5C`w|TV29u6*CjXvk+7BE-9|g8Xvy;Q{4Dx zlLiI|HjzHjzFW=F`6qHC!+&>bplYFLIFfk$Dv)~$fmoET(fJ!kIg|dSG%Z|tL*?q6 zb-6t*8W|(jq>(#MjImD*Bg9=!?Y>|}qvkC`U-8JRw=*tp01b&%o`SRZg^sxS%NUPN zs2d;H>cJXEX|i}pd1y$@3hKQ-AfWJcf7~yjQnzTvP}_6j={mnq7o-Rs`?^a-%=;o zB)_&`CU3pe(qtp~oxYOz#`TrBd@2e$Rt7#JKR)rK-ie_fFx!^8$Xlyy<6h+Ta){w9 zhTuis_^eqLJX9?i?4ogE^zGIPPCjAg7z2jg$w-QV%l-<&jdsUnoiIk(J~3LXK`3*Q zXe%>1e$Zc4`vQ8J4mkZ9rOR&ydHw>rN62cy@Z0Q+!|kbO`+W!0??p=f0;YDqG*V_G z18yxrKUI`{86T^>o9-g|1)*=rZ@j&_aN9uiNtNg?r7mL~Im{241y~}^@`%_fN^yI6 zx{EVOnnf#;GiiIK7IS2J?)VhdbG)7m^mE`8?5@V1$w|DDuMN{ontJtu(H*YB09U?E z6oICjJW!J#agLQt(Zs)`w+*uCZTgd~#?G_nEZN4aZys{guiCM${{`xF_56L_mSaZp z@putw9|09>RFkh=BrmOAltLs`lIp=;yALhJr8jyS>tk6g7@RkMAxAZOLvb~Ik%WTQ z&sS$7-w6{#Gn_{p4b(ZCkR1=q4$GCjn0 zvOW<3Uma#CSqCod_@@toZh?` zh)@;7pbEYdBcnYR%VfZ^umf#UNn;T9ezCMoi(zqhC8kKTvxXGr3_=P>a21}G{oEaFL>?zaAMEgJW1B+etPm763v zrOW5MWd^VR-BqEpaX$B2f@FSk>d<0y5fWE$pKlJX!cOPTL-Cj-o_Azt<`B^pojMXK zVM^{<98|C*`*ignqlC>3IlF3YSxvNl*~YwV`?~u=;c(WX_54781m9MQvpclQ-l>`? z9mjpo1%iFz)l#D`?de6nRq-H2Z5E4 zRCTTGRC1!w;>w$il^FE3Pmm}a5Sw4(;LGo`^x9m;IOnd13^b7!H(bLchTE!-7_>Ui z8teE%!ZSvdFUWab?Eho!t>dEF+OXkcBPJlAD2S3$3W$`nMR%8gfFL0tEudo2NH<95 zAT=<+fI&!y^biUR9ZI*~z44s$fai(t{k`vh4&a`>*IIk6JFfV!ZqFxl+d-n21KFmp zN|=4SSULJV!ibB_+~iWMcy{brog-PCp05V%ip`^7XD^^qJ*8P_aw?nAFyix&Z`}1jWPU1B&JBVcr@3ifw38rcVoe0weKTF;V#z zvtXlD$BvD5eFeR!>n|7V^%TpGMS4rR<*`+E`K7shWqq|rH2cnT!{t}lt-JBYLANm% z&B0huW<2>sz$+@JI|vAsUsY-BP`O~F{>t}nGST$L3rxb!PrieT*fsU5hP!i`aMFh- zPOb?wU1of^>?e_Yu+M#>^%2%5&H16U+oRSGLbJnE)cLZe?OW4OY-L%>BN=d-WL>Qm z+WHn1$NA?0i03X}m7XF&EwKF|Kf6E9#eA8Pqcn$HL#8;oM2f_)sP2m+iD3ler?aY< zkUWYKT`gA=`sjd=*hl>KQ}neDLsRDIYp=@Rx->W!GG3_V*|j<05gBqzD+!g?hOg#A z&xi7(QWtMF7#AjVsgf*)GbVJ|t(fah6iH~8=|;vU2LJjsd6JL(+>NZure%z_Av7oU zJwF@-wf=FaUZHm%!j8 zR0~px8MD6%yut_f$8TI)*m4^gP^aGamSpc<(o1q_vlt`Nv}o&QNJ{H5+WnB^lT*km zDk?TkUpg+Z(A;ePkz?#@V!uM008gs>GiWkaVB$SPyM^%zQWD6jKkr(iabv> zPCnG#BpW@d2gbvtCY+Q->s!m^m-+78mxc5z@PgROE-&6}MDzF4aek@eJYWB4(e&4W z+wI6wwBc|mjVmNUl2=3EAvdNY(#`$g>Sr9j8(?>C4+^6E?1d>w%GY53{-$6NPRNKa z;&aS%fS9RJS5^W7=N|R%!t1#IMpx3~R=#|X(euS0}PiwpX zQXXgioS@4Z5Brtf?H{GQC+labmgWZ%@;l31QbxEoKOZjH`tyLh8EaxH>*M2t2;)1m z&n`lNp-%FMMDtT=EXNP1PZ!20rn)DAIb<-{*Bmqt2u0y0v>oE5z`B0U1#K0?8NC_f zk!fq{#yep{<6cYPiG_V~byPkUN6F0w$*h^kG)MT1k3fc1xLKaAy3@zPPSN?BKfdE+ z3frr{-EiFS89Bxz*10MT$e&pIHGYktv?!~}RhHLho&Ve^j7=xPwOxOV&*yJWEYzLl zYB-y%^TKih(;vd2zis zJN~{3W_U$N5p4I-lZ~J`UiQPs@)XNB5cBLia7|VZiHYlbK?)2}h%v5%ldH1$m{i+k z?WLDa$*Jp~rV;h$%dS7XmP`ja0VVx<9pes7?4^d=ySu+~=6h#IIEFS(jx}m}?h&01 zouD+D+KOH}hEQdCRIl%55J3cfvGf3Wq#htz$~t%f`)H04U9lAR6w^o?@2;&Mx^Oav+OS=$rcCtYoC zArmp=J&z$)x+Uif=qSpBEfwX)q6N%5d08?7YpawJ1HVChKRRfBrfAAZVpS~fxJ8%S ztEn|l$Mz3|mZci5X_oDjbVjq(p2s!T9B*H$i)5%}Kcy7vD(m5tD=c@W-(d=`Kgfh1 z(B&5dyXcfihxVby;jhtK4a>(*8tHx4^aGJ90Q!93L10k+_CHOv_#901ndngpTbl*A z5%ZF0i$Sj1xGWE+bd)#v6t$QH>WK3gH=Z-@=1*`p0SJ_J0627*84K2U3!1q?!K5)6 zN&YvM-G15+U)E}TdA?~Z@8tU8e*TbU@i_gEySp91Otn;zELB10{H~T_ zH#wBVpRcC^O1{Hf0|Hm8jOPfw49U+CMc7L}5QZ7zchY#~pwr^rx6CtOwaR8$`s1bI zOTnKX_{aZ?4|qL>BB><5*9_;kDql*Fl~(Em{9Uip_tO5CRnfOQ0g)sQ z#;IGk7tmZwkAQqOswHEYGOyvdH_-TIk+Rulf}y1vc$sa{N8AlcO+*O8K?At@=R!4XgZ zvWbz*&OtP`b7CdWGsFP0rMX6DY`-D{3Fohn@17j>R7vT}`sLN5Gd!Zu7BGO|k4(f7 zA?0{oE@PCImhK3T;7hfGz;T-n0u^`;I4UQv#W|^@$v8RAD65ig5s4oRCmm`VLfy%#6M;R4$ z)kLAuX8Z)-81-agW6?f;CmbX8V-D0r-waw0EPZj|(o6KI*;U{OKZ#VD`{ZJF*c1^b3wz}Q52+6j{i|bmpDzE9Q#c<=8oZ7ZLO<+IS z4b0hoSBy1ehZ@|toQ)}x}9+$S~GTCKo=|?FwRwRBPa;NC*Cw;=Eu_}~{{8B>ooP7Yg6ui-h2dlLov7aW zUG*WA{SF89-Z+aky=&7fj&fZacRcaEEq+n2cuj5vkmJIT@hRLhznJ7y=6-x_ygLOn zyfnXN-CrQQgMBdps88mDhrId&PwnbA1~YwiJ-!Z6zgQ%4xbQnJGAi4L@5YFTb!zwhy&hmOLULN|S$On;P&}av^MrbibbH zWFIdDiKHwyFz-AyePz7e0S;$kfk=g>lRkW_0yfRqX<+FN>0A{Q0{yXVk6BBvbmJEw zIZ@J@EPWO+vl+7?|2+yI=K->R770VUNH%R07}A{sqDvVIU)VJ;AT#a*%J6hOLpYQI z?C9R`hL8I2jhtE`rewrDa7ZOO(uI)G-iW_E-f^i;f@-?cSXBSb!b zQs^mN)WU21ysz>xtB1#-L$`fKg95sdq-^iOZj>_B{eJru|76u86X9`D$4poLc+2xw zkcBkbQXTe8&-wD{J%v&Tu7K zIDOwEJ4e3v%h*{LS?IRYI0rVXVh@-=b1eGtnv^qEJ52_7d4*IyEnQtBo;3op*F@QsUyfi0MX-Aq zpbfzXj*xve@Dngf64+e$(m{=fH|f&8gGc=VYN=*l;|O`q@aFP>J(?fbUs-6r!@C#y z&BM^Hk}vVPyR-5SLz+t+=NC`}5Pp2b1Js*JFY-EQwr4RDf*Qb&((em7r;s8p^x{Xd zyaJ)wf4QQDiZ@#apXyiR08Fb)bEw|3BA$b@OMEN5AleioIh!H2^Xw0%Y0k73rBm2B zjYu~wm!=tfFT?q4(~;M%gY;SdHcc-`QRdB`FW#UwrL%ghv6`p&p-p<}2wFrx4++l8 zl*dT@w_6!l9%SpdzH93c#uGd|pogDgzL-V4hss}@jz7R?$1DFm=ZOxb19+-y{8T|{ zne_Q8W>-x@Hv`to?FETXseuEWhx%~+KpmdBIW!NX$3Td)RTt2yu!#gBusC=HXdo^m zcA2^OFF=&=5|B8_%CfNNyKuzh4xGHmf`R@n9YgYOa<>q2H;d$(p1$)J(KX}6=B=|k z<|Osz9t(C2FX!lMzkxk=JOi@Zv}MBexk@HYc>Zm>`mc2<%u4vst3{)CGJluwz;+r? z%l4jgyiP`DhsDw!Sk?#M`)jT4eM_0WcAL5UO+HMO=mAloBl*uy37*KMP-SF1bCS{h z{iIKy*aP0jwdvc~gq@|oUn$0S@~>nGTWpEDclEz+>+iO;Trhm23f>|~{vW^EwWkuS z9C_#^??(RL+UjxMd#_u^dv}qlDSz^25KV}2YiowPTe21RaPrO%75~wkpEtJ7%*<>clVr4=~a3tz)W;U^9eJ-m;QZiyDOys z{H8N-=l_HV{^JS!(XhNsX7^0&Y)k!fmW7cqcYo*IrSxxM48jG6rDEDs9tKXFXDy8> zAW%vbMrMX4_SeiH1KWBMg2;c+fB!M$fT1dSc7@I%9RZjG5Z+s?ug|OsZVR8@mC*j{ z2A`Ue!gWpi^78+LkNn38Jr8&h7r8tC3)Z0lyZkc$ z@icq(rz=B!{Qv3gX(&DTbf5emn?YOh`(bq#LhjP7mXDL_K<6yBqL)v!?5+|0W0Bldf<@9J?8=>Xjpg=cN_0FnmuZ`C z7iWC{&{WpTlyCm~5kL(>-pm9BfjN8rob|SVUvpiEJhWtf#|^C{9)q?UT67l^)b@K4 zf9+!P^z+$q)*!def#7HmO7-xOM-y$AE?e2_NSF|BOt2{_Vg{K`xnmp8I;-es1QoSe zEzh*3aRIQUluRXh={U=e4BfsL=`7JV-fC=iVhkAA+-U66adpu;>8oIPC;{Qsyr*Ao zc6?P2N}JyVS`0dr;>7V4!HHV4*W__Vma3?tsWn1uu|bom){8;z0vW#&Q2!VuB{v#e zva!@sRUOsI9|3t_YUib?8cErJlVqVGkF#FJX$ge0t;J1Kn0zHic@ZRV9r;Y?Rq0IU&xd$F%e zPA~36kePH)z9zQ1sbY|wSOiqs^YZ+zXb?rB6GXco#s07WW6S&)i3p&Y9X9`LI^}BR z=tmk@236=#07O->wO*ECy&-$5C4;yxFeXfYf>6{RBQo!rGfw&(Y1uc^JC3^=4jX!g zpHwme_LkDEdO2@nSqjxC^w|>;dx`F-Q#U+aygJDiB9M`zs-U%2SgaJdg_Zttv7y+D ztHE@tVzDOX7@ywNTGwUHM+1HFdQ~KED_ORBjm73G8orXNQUD3_sArw|NFRNTwVZ&6 zVelk+!)l1oliRd7=1RoyJ$xL`=8Q}NgE#uVeAzdO@~%NDAy>m2T*qpS)K`o@%yr*$@q-uo@ICW-P@pRBTBvU3+4tPlu#0^KOYb9D=b7gwNffH< zJO~Z&IyNC0+_bsF%{Yzy8x{?kD8)OQ6Kum8s3OA3yV>(qF~MC-bZoXPcuK>CS9;ij zB73Gz*SVQPmgoBM)|L3IPRnjeeyi2P_+$*$x--bAW|kk-amr9P{598hn<6OTy*WiC zvqU)kT+tARypGx#5kJ1eoE{`80|PJK6+P>CRhfjV^k7YmDKb2%x|PuO%&acB@ee&r zV%niU4?9od*Va{I2<=Vz&{>)%!fSi+e3LwzA;hpD-5|O%kJ5<= z92$1Wg4G@?^2ue}UNA|eqG@43)x088Dq?tp7yWE*e{kBqP5JC|giJK4jf~?6ejy{w zDc(%8_PXn|pG{_kkF@NNTHM1 zhQ1QWV}63Ut|SJUB?P~#8$ddG_~{A373#~r8;5{?sjxO<8PN{oj zDGVx9EA-3Xnw9uk(9BndYz-Z2?#b4bq)O%deK5Wl!;R5C9Xnq@RpauibQdi+KqBWe zGk0y-oR{*UuM`v%bG1h#zBAJ>W+yZFNESAjYH1fgVt0y^fF{x9f=kuIzICYVplWpg zVcHr>!;QfO~~zPIa``8()FBI`t!_uAYF2>nMmm>_7zqfUA6 zjo*EZcb;Q#RGdtuhgyDSGFDu3$8TOUzE`g%di(izM6oa_Aw&_RGfEM=>PG*(BVm8o z>qIyb|Hok`_X5cjzR4ts|ML>No@_s4x~FNyev?Gl^(RPJtjq`p-~ZFwV@-c2z1wkl z$1nkYJAOZX(}beK`r7Ry*~TDEuk=E=z?BRJN%>sN)&Fi{fq=h{p1fsq@t*o<)|A;7ee4)S9)6AH}==LJ1sYaHVE48e*q^Hzt|5rpL3W(-Rf6AL-|6?M< zpv2hx{G#EGFWj9I{`v(dF~P$4?0Zq__tSsZ@bB3#MUa0*p5VV+&i}^UxlF+q+!=29 z-<>)x%DqL1y#zjwe`!PP0lF6Gyxj0H|LwZJe+2A3K+qpm6J7gnV+W5Sz8{3Zh`G=^ zXf)K%gvYW1@{d}Co)QUQ`Nsg=Re*?3+Ejt;e_Z(t`Q0a1hWKB9|NY*6o0}_uo_s4V zUHfliXyldu_4m|6FvS1R6ZtpuLJwKe)iiPSf86-)iMyv2ce84U=K5dP|JOI|`j_Yd z9m^@5D^1@NRY%Netz9M!{>pxz+yTsdM*hD5(_P*e&bu+x^|sL|%h$dpd+D zVqTpi2)YAnPIA9w&dwYAH@AIH9#UGC8B+cKv6$j+?CsUhzwz$W-#5{a`>YZdV5y3<|B2m3T$*x0Msys|It!DXvOs4te@FH+UaHf)`1;RO@!e}A zU5vUxFlfA3I#iX?Icz5iRZbfQn4&8dI6(dgYyvZ$PW7lv~f7)xZ^cES$(xbE2M0b*tp1J`lS*_yj!{6Bj02H6T*aVz;bwy0H-UZAvC*?R9AdrW^15y$x||}zP0B*Za~X1 z1Xx^Shs)Z6)rh+hh>fs7EA|b*p4HX+9Y-lWa-$2cBO}^$_VSJZyPf&Flfm*cAO1h1 z3t_r{jg6HXG3Vc7Bg_FrwVK}Cd{R|FU!DchsU12!BO?%$LwM_681=5^(}djHeggvX zJ$9eGPbG-%m41mDthEc*qS5^8f;)&A{E$Q+Rbvp0t%Gz+RHON5Pv7Ct(x*>0fDh*?tZT?%1l z%YJ3web!!Ou$8AT$B>IH+xSulLOle$c0F^k7X8eoKlyW6QOw|68XrT=S#B%*_hD8C z>>P(bq$yX|PxQkYCUSc9>UrpcpQ-NYz+}f_HQ3V*xt@z31Zkz z;hbJPyp(d4wKcOu?Mr5rjMn;+8It5-WvREcLWUYm%}gqSZ$&S)1R3?&9TnHfqu{op z>y9)tIFi`%ib=W8B>%-$9F|*hy>?XVx~|aWHTNG!>w{dr96W|r3k{vnx9Sq z)-#-~gDE@6FqHN#;Z5rJKdS9+Fy<;pJ&DObHCpk`^8xi9NPF*X&(1^Sk};IVZ&laa zUp!I^rF*L2n$2q1t5Ug`<&Pf{l}o2F9qvAGq_pY1Go z{KfW5n!@^9Er?0_@0ZkMJ-}h-OKJ$6qKLb*lbiX|;!RYq`M^H+Q%&)J>pJhemC^PN z&S;L1w(h}E21^@6sSzoSH*>cd+JN^IHF^sU2gQK?IWE&^`ML43heEjfK#G53SxJ$! zk?6Q!dU$!-3PjjwW;BWDSPQ$RuhK6EpIaNc)oSc~uySzg11+O$>m%E%E@qRXp6kSp zn~$yCW@vp1x~3PH>fy!Xue^sB7~N#)0_zj;SkA#ep4SHrw zaA?!FZN=p1$tvzT4E}D^dCy))tPsJ?W1n0~#OxjQa3%A_$VsYpu6XN#?z%>hnM@3D z9(m{Kje6ZBG-6yG*#+JO(KdqZ!SJz@MiS1|IX!TfpNb%_1BVFy$naja`gGwWu$5WqHlS5($ooSua-CgP3peQ1P>j$w?h55!aK5cXYWb&T)2vye^CcHemk+> z{(WK-+H*_q2rc7GA=i+4_h2Wuv(fr(IMBrTGfEzf57t+Q|2k9iUzF}XQV@V$G-o5fBX>#Mr#j;yLta!!-omn`@@P)j#F z|K<3OqsUYQVL~{o&mMAZ7CFSLSq8Ssz@Vsqkc}P5L|j>4zC38m+qfOEkpG{({s#$2 zW;Vf2g;x`Rd${lu5so0{5v_dtoYiyA*n8WXw`42*&h!$J8K#?mZzz}6{dsn7D7KKi zkWlSmh;fL|!^hwBLMVlex%MM~7!CoE1Kt{lu+aZER|c79e|Cc^9!=RO9(hnZnPkCn zT4EPN5CgDWpyo1*XH%WK?(h!FH){)Qvbmx2Kf6{#L%$8}-;OXY8@29AxSpC4F)E+; z1VO%Y7xH(wy#swN|Fi4sZXX1&@R!v1J=kViySf;`^CkD_c|k2i009_}fr#`D;&E{c zlstc_jURIYg5og1URc9!t8NG8Z;$;ZWiR((Z_=1p%lXW&`<^xL9KtIwgkD{G|5-$w z441CV91bE&3)8sH5~h}1WIctZ%A4)3k}19Zd)dFh}^USNjAMx^aLzoms7Z2m^)YmwKvZUwa~3pdq)T<_Sqy-v1Y zfu&=zsR{HOI2~^wGUo^m7?8KGV|>oo7S9w<#v2vPg=cCWxvH&`S>?YQUXXfaPoN7U zC=j6M5AQH5eo6@Z*#B-8=Z%PuOUGZ#7z{Pw?*hKYXX_rzrPcy7k1M8(-f1Ff~Pf@siGa7qc(tS^5Ksb7|h^L`S=b&>9`6wKd}uzHe794-%$IsqaDF zG*fdA==r*ZK>W{_wGD7tg_Eof3@GvSoJ~PUKB$rZb?A$TKK+-yBGqWhtJP@M4-b+K zKQvSAp`z(e-FprvpY$2Y5yMCb)~1q#?l*=7v=R~Up{MVUo#-JhRf&LmO`2vO^kI^l zF(_FrI4>*jPIG>*34vKpe$D*?IIBrE_ui8Q8Rq~9vb(*~uoLYj5F%q9j6*?t;W*h6u`k$0ZN=B zf)UEpJTytFCY}NkU7D(l^nLx7B|z(xjo`v9-&Z#e-I8>kD;r&q(lU4JQG^zr%|WNU zxtMuZvQzUhl0#h`O{@i1xyHM*;J-Irk`c;V%;TR1a>mNkCFWV)S!0pyL;RWk)>g8W z8MIe;NB0vumovDu&t5bgj9DOCT#J#lshx9fTrZtf*kF~`pLJ;>omcm-%85>FFmo5? zJrLkpeZsS4cpxE;FCfvme4i1%<@WAs^|j3p3vTW| zT)7)+;ezVI$U)Ov&H`HC^Oy#Zf2Db|VMrb)re-%6Mfl*Yn8RdNVJ+;sMg^MLN3TN` ziC-D=3k{SN>@GHa2-JyOi$1>Un|?Kjz6jZ69Tu^dM{CZOKI9+^yHx2H(SP}A<%Y02 z^+H!hsqWsqIeb1D-*b`bC6knBdPFu(;T-M}!T8C8E_WP+j(Corgy-iJ4%>=*%=(Dn z3lG}8KQEESpA>SP@tMPG?)xO?qQkeS8N3f-^RNs@PT73CPcgtecB1wCQ9kteiILie zAMc}X2hpv$C#_QYIS=3DUHc3NqcZcmhu=ge!`*v?u@v`vi>x|q4%w<7^5?Uipe5IO z_>}9317ckO{xFY%xv=2AXALP@4I+ufyV#~UeNTtz^K;?11|@K2s(7Eng?B0MCsKT3 zz)yd=n;ChR^zBHW0(zG8@F`^Js@>!-J{YMm)&)VU`=J}8T;T>Ko_6%oHAHtNyG95< zM)kcHB|E@laJ3JsFm3FO0N8?{o$_9EtHsZi7L;*PC?8_+88O%tMG#B7S0BdSv4*g@ zr-l@=pS0k7CxX=wxfW}SALFNnIX|6Ah+?0xQBxC7ZamHU$gHHPn8U@)ri#(n`yeF_ zekP54sVIsXMo3!wLu^M5WgA;7(Pz&mn^>IE_2ez8aL;PC>UBzgP46C#t?XnfUiq=S zP>54pdX;9KefeuokuA8A(PE#yYtE5&d-q-Nb#cgTnH#}tw6V*1)Z>(ft;o>_jPo(ui5q`B)gb?xSJ>hAWWrpi+HP?Mr(t=f z+Aiz-o_5^URln(Czw`N}g-#|WXZEh{E&sVWi-$18Mg?JU&*}bL)NQoZ;6#AHh^Sjy z8DOvH3bI`qU{4r<6ALzN$I7%aC@RfG&pxh3eu@v(MWcH2COe(&-GJs&NKUg&<#ieDU2KR~$Ohzx#~7AGQtbPphKGPVG`^KWvQ zu|e(w5f(RuI)lt2!iS8quDyi(6o%m482epWpuabqT`A}cp0^#T506((>rotSjE){^ zlR4s?m29Ayjc#8Ka&8^E?U#_Bg2*|=8w=yUrpqTgunhmW3KjAj^p_Y_pSH6A)ik zjR>?;2i=X3sFO0+f8028%}h;3gW`yNuhpxuGnGq0!?TuLlsGha;M`LN*{o6lF}EvS zUR!tH`8Xfj6e+y5avg$Mnl*O}m3+w9iG$3B<2I37cfY&NX^Ocu%NpuxuvcGeqV662 ztmQ+1Y%09_bSC$Q1^uN30MUju{Xv3Qr-@6BgB}b~*eeibsBP<}1%q$NE$}S0I7WQz z^p*E(dp7;Wj$2s-j-R43FoL2GV&lxOId&q{>JWh>5e}fCH{Ja6QXr40prU?sA~{Q= zpq7nkZW5dZ@Br#AI7l{aOp^YyT~(JAK}wEIlhpEp_=yXzd+=H{=aGHS`53=aZ3u#v zo&K?tA%iO|oAK^*PR?r1d?R57$d8!VT+aXe;pdkBDZu?WALG&=dN49Q7ao;&lHNLG zlXpdUWm5O22Dq%)OUk>*NJs7Ys6Z(OhjZPT*Jr`YH4{EpCb_wd0*K=r4kTa{rpn9P zADK;hkn|fkgC{b$R!n4Vlv<6GE?FHUkhD5FK3xEx4xd6k5rtAUuPrZwD2lbOxewRO z_S{ku7@ho_3ffH${4Zfj$TvUSJ-bY?=5FEh-4Ukb*1{nhfq0gd^G8)`TSwtI__{e< z_;M>Qwze!^-`D&g!7?w$E8&}jW1)0dYpFx0HrNO{m?uHWn-Q^$8S~5G^H)J#s>?}x zdb~9CRsZs1s3v##IUhRrP?#lV-%lau98jfocY_Q}Qf1)ZpN#1_k6BEO!*mmdgihIGqdYryBeD^K9%! zIkU;9rt$^m1)J*oFiirZEaj!G zoHX4i(m?f6T>LNpH_+R>in>1Q@CZ>V`<}k9S7-VV^mydCw(^4zFaRRB2OfW+GWMVgd8ds7>WPz4Qm{&{ zwvQkvHI95bAyn_`TikLT3L@UcoRr`<)W=rBF?c4lF2p&VVz%b&?DX4LRJn&gLB)3z z*n2uP8n#4VZ8aUiaV@;z8m>N-ltIz(*ObhCp+j#f1?Y~L9>r*|l~d6CfV6VsKJJ3*qo|6qt1}|dQBF( zr`A_Dk^LB#wq3X3t)bT@X0;M2m1LUr-ly3=`dVSYMT!4l7pQtZ2+B7ky!>^0!BDH~ z^WUMz;J3$|F#Xa$KE1>fP=96kIw#PG&n4Bco@G5HzJ<;BF=UE)X6oH_JV4w6vpv<% zOg(pfVoK{uhTNY*k9V){5rkILO+1l(fiTd$UxF2}eV%r30R6Vy!mh_qaz^7?Kz$d- zzLLv)G0X~M=9*#;3$TYaqa#hS199Q*1vY|fWQcYL=mzKY+2ITeznq{+uHCQYb6&Mh zSt7KHElF|H_SeEu7OSwk6g`n`v;F?0!5bkt{_gmm{niKmoE|aD80Tz;Z&exFk0H@c zk)thU+;n@NrjzS+6ru^$Tr*+L5=<-kwdw6{M4_ltM=xR<$i0?AKCU?uE_6^TbHOT zjQ(}&9s6@ARhY`Ax7QRYnm+vuj+Wq42O%y=<}0Z6UPZ`37!acIu3ACTv4)^aiuGW| z9a~gcJc)XMG&k#hfC5w`qEa@dl_aVvMFz! zwJ7>vRy>~E{iU<$`9#bjl&-iiHRV$Wc{#tN$Z~@YPNAfVh6!CB>;}V`wgzZoKhw~z z%9S@yGw|t&Y#!65w{5mYVS{1|$p|P~LdnkHR)458*t1pnlar%dR4<}4&V)ZE+sjIx zx)5Q$%J5R?S;n$X^wVEo?^>q%+^;gV@DaPKmd}G=udYVF_Y&9Vmc4&c=1}$*wK@%# zQTAW+W%Zc;o{p-rGkAGn!|@&6Uarf{X^ISaAa-lilpyx%c(-E%i$?xu^u-dW!byvX ziS_eg)xph48ghwxh{N8SHKNS<#wAegNs@%4c8#6iUdpLVX)+Kdi!B=%|^ zd0MyVmB-o0^NFQoD)-iCh6%`vZ-VHspshX9`npe-^h}Y2f zp!4)>>n%3xL`5U!wq^=ytgLP;-wrvO70_RYOsWBRNB5Wd>~$kI9)SI{b_(qv7!BPG ztm$8ZtkHu-&{L+-_~{^Dr^sRiKUXKs^67?f)%syOT}_7uJXM~?kAx;A)pwZXXT2yr zo4UkR(-7u*uFl@#%*rkuvz*Gg3Gv0ZGXXX!BTmCq3B2=bG=I3Dxk+_w`mM1loG;r7 za_rBy8fWyoC!2<3^m26uIKhAH*yLNLO5~e!O$KWfVv^a@!DSQ9GJ2R04b!yupOlzi zf)t#x5(@abd_Szy{wN+Py_eWeu4BWRR;}S}e&))BuepCTxl0#(nveUL=aSX$>`0Z# zg06GnHs{l@Ew7uu9>#2Ww8?#yN^b^t{X|FA><8#!v*n30+5$qOD?=J8kBjuTldz?zK!pF08P8@4C-9KL^@ zT9+_#UB#0}GCrQcj80ihkj;a}PC-qxgzu2~q-b}1dL7vPwRux;)gm0Y{&7Ry;6yd& z=>i|uJ0?-0v-DZV?D}j~Il=#Q-SAq8*fUOfN2Q@tTCdNS&p%4il5eNW!D4l}s*CG` zPcvN?C$A+{)|%{nZLW{=veGY+|5z|ftF!st^NH79`K{}o>l<1{)d!*zju?8Sv#siU zSSGyOsQvmu@Qbb`)5ITKOnw^)Rr8I=mH6RGh62_DBW2T-JUM-g@-vPPe@NLsGj_gT zdePtRDMH{X1!t}h5x1HgI2|2Hjmz#!O#vcujqWM#2m58$~}qG@wr-d3;)Kg&7mJdEcU{9R1_1Rd3y%A;%Nr7 z&*6D~Q{v}372hMA_R!%_*d>k0xbyU;Ty{_%5AVl1Gxj%OWF~IJMD7$9e zlrxl=O>yO8%YjViD=DM zyk`RJe~n92y6OE1TA`1Q9*C9g#65#tbE>9v?%c`Ab*?b1)X|G?hF;9K? zV;nzCog%}-4+qHa1-e4DE=~IA+J*b|X%Mf`@gI!SATm{Wz+u~xrt%W1QyCJI>^_>Q zi9rF+*B(n>E?bG0R!cvM8EWYcHr!H-S6qLfVc^464??@OQ$(eFHMy1Qp{7Zg#SYC# zL`o46NW6x#D9M`EUxHJQ8^XR4%2*CHx^ONlrwZF!;#IO~HWI~JRvmOX(KG9I0XdY= zYICATdrT*mF%#jET;p?(?^)hISY|ZDGeqm=8p)0?XoJC^ph-(XNpm??ma@zb`>G@3iN@zTbK`b zf6-JLv!fjZ9Ju6S%-I1r4(-l;>P0cyblw&iNVt7soz4mr59_I%pyp)+auar1rBfeI za#AGXBCn=eNv6=&s$>ktQntAZT6$UYfY-ZqzZhs4W9eZW;jS?nZIkdtq zjPZW=HStP0i~@r^%CxeeF}jP5d=IN`?2V%@F4+>}FQPxS9mP?9^%dsI?oMsu^KjPc zvbhs))}Ag22b<5c5zEjU8_zG9E5KjQKSC`r^$)fx|EROOm{vu=kWxWBqa ztIsHv20vk~ymt8G75R#5wwJFw=*XPnRpEH43zgLdFoCNF2R3O7>*>W#UGD00Hr}v3 zSmstkOSmt_7f7y|;C{;?!eFqjYVwMs{6@ z+WNHSBvrfbc_FcKL-C-Dj>*=h9J)HwJ{phHghSfX*6mILFWIvmMQU)T*&Thcm}Q4C z#ZrAL&ZXSDcu{V$)2v|DD!9$LpiX7dR^7uq%=|%LLeCG9DkU7PJPN+x9a^t2!`2U; z%G8`;3S+UK9Gck=M8MoJ59T zioPJgdVD@z{hI0|$7g{VJjzLlSghR}0@NfPs{*zm-*0h4C1dj98)K!f%?EofmwA{Q zd~{{7T8*&Dq1qhuF@&U&@#_SaW{pc@`z$Fj%BWi_t1c16r7AFS0m7e7&-1F20bLfv zskEp9RW5_nfL!G~tqNPk4F?;x2qj{nc5idlI=X%2lPz93A3IgT_lt^s6YZz*zxMQ| z7g_gkMAZ*P)o4WdWm7~u&3&mHtVhj6n{cYyZ*(BR?#IbxGx=%kho{C?%@S)v+%v6a z4<8Dpg-7U*1PhlUQ6i`rHNe>UFFQiS_qH3}ng%jWGd+k14LUDfSb^qO7^KA%Ty7nY zK%q1o5?kDA?@tW{HcE!ZTu1z)EHesT3v@;~L zwZyT-Bl3PZ+CD`p8$~Li;+6T!7&gazT9mDzRh67%EtxS!EAw`?lz2HY4)1omFQ73(T6tbz0wFGokS0wnuL& z0|!|7G&5V9fnIok>+Caer5`kPj7VCuTIqdcaZHshvL$%6h!XXusKf!#e*^?0b4PyyzAlVZMePG9a$(h}paa2;C_uFE zJc(#q9Mf^0Rt|bJ&%Xlj4+Bssr7Mxp4zws+9YL?RM%(vy(=URSrzSWnL`|XQN1M12 z2jfj|h&#d!L$y0lnout_%lHhkd!2T?YmgTiF3U?+cjp=7+)PErq@kSRcLwSwmb?i} zp@Pg4u#}c{w9_QBuZx!#?|49q|Gy8Ib9B%CjRRU3qlDrn%oPTJCg0ns@EN(#lHfd+N zfqn^ltBFY10%_AIKV4jiGji6j1{VK7HjRek{8P=D984beU@jR3r24K+$f}(3`kf|& zuXhaB1U9f&pED?Ik)D9}=c>dSsSM(j(DEbSWhOD?DFwfr0TG!Da{f-QJpyp!E%95H z3d@PmFuaB{FN`+l9cOKF@yXL#iwX%s3ODoOorV_bT4Az1G>xZC#gU?%0(;;i?GPqS z;>m!8*PO2R!jrpXa;XAes0 z5$`aN3lGqVNfd`)bdGEn)JU1(r)k!B6pct&#)rpD``ZR(hStWj*$Ej6R`>x|Sr1Cp zc^Qa%=6vM92K{PJAO$p0l)^_VZxh) zeqOia_mNJ$VKCG6y#L^Y@hX&dbF)r@tibKO4+qbNK_b$lIlZpoV?FL3sd#N*uQ3_D zcBly6(}p)^+Q{rSY_YNVm3C=GGCiO0&IVkyWQJxbtSHiw3Ol^eat2Xn`dNKVLMei_ zY~i$Z%T^)3bgS40jRGhNyg~(6ikZlph)3E7gP9xg71x^F8$7Zl+$`Ipn(o&KCJky- zOV4T8ulB3?$npHv%M;>&i+hAT|=#S;xYSW4KA zsFtqlQtH+d|GM zjgWpOQi^&L4Q4=$df70U&?7rHoC{uuqjOgukekT zRdeaNi%~$PWbB}lA<>`1LYVk#SXz-`DcCVAhA=F!`gaaX01S(5Y{mkWYL@k-K_*ts zG)C!MHc1#3TVzIGdq-ZKhj9{;UOWj&^s`CIm>Pm(6pq zYDNBr%=;(A?m_@|ZFLzuqrwnHGXUBZj8%X=vmRT~*S&d=D;ss1Y*#4ZFyby@srM$f z>Td)4TFZ`QThQw6#={QQ&=?viUlP>8=PzlwDe@? z(~6HOqEibmpqa_(&}SQ%FtW<1-dur?6$OG9JRbDnSD-MMbn&8x6N_>TPbU#Bc(TJ( zYf|dVDO_+Ti!-&H_R}lN1BobgRd{tmn5Bkkl|%Jv$ri7{`iZZwOE?3$Yz|4sr|s*k z_N>kp8IL-TX%o}`Dn6qM2I<7x46H6a3-zZyiq?~kK0J0Seuf7to;BHqO&-Xvp^psv zyQrig{VbTat;=m9g0p@BG+&IlH9-?TZ{C%2O_IP8a=c{jvunzRRQz_Cl(NmZaX8l4 z5s`dzy)o8|h4xBomsNb|$V|yBdXX3G;%tC>83_vOVaT37wh)k77cW{-`lQQ(>Pk-E zm`aUHx?^ht4r((U3`*-7_Ux|LO~~uWmddoJofhiTS0&82WpR~79pNW&4H>daqSS|< zO3ajtZ(O%t6dcvZeC&57H5P9(EEtOHvWS74b*yUsuItA0#fR*!rJPndW_q)@-aM>^ znNt?p!|MmlF(`wc$Z0tJT)OkDjV((Y`=Rz)nLZ2CiRQQNnDOLDsT7%LiI~Mw$N75X zyrGwg3M=dbH4&3)re1w7*13?;vTy)pu6{bdb=MWDD0!_C%;8{;^T}RH*fJKvp>PrR zgWV|UcBdcU@W-SnXgScUYU|_lXJ3S+L`^#q35vRxgX@cw*n)3*;2;v}^rcaEpaP+# zB7_sya@reAZCqmPxh8YpX<3yqK;q)$Jv~xYfGRL`EP7OPZeez{z{Sv{MZqGm`PiU)n1D4EI@>2y7$pTV<6C`H-CG3b>p4Mx^L+kVoew}88n1(gCAzL1RKBY%bQ_9~vfMq& z3{{X4DuWV?RhDF?1{JFJ?4|`XDkzI?dD^r+Ayzl4?)7v}xiPcg>uH{BVqYKO>w6op zKUL;O-!Kc6A9?UT*t%f2Kf@;7NSlnJYBi<{wK+>xVfTZywYR9_O}cGXiM1t52j`L> z9^BY(1}@B!YZBwy({Brv^Mn%N3f!7h9=BDGf-t6rdCkF0hS9P(M+H;m}2t>0=PJwU+vY#DfAD~Kh-q`CXr=pEbn z6t&aRz0V_7KPG95!_ZtcXO^)vy-hoP$-kRu5SKlt$iGOn>``W!GFi zz{wWGn!aw=yQn5ij?>&;34|y0`O$UH_tBj65>{FsFopN;+i0OKU6C9rbq32Vm7LKM!vGZmtwhK2Ck@^Jsu6UCnod|s+zvQVHEzT$e3ATf)#Bda(cF) zsfC10E`FwhMD{AAfx)aERi{d!MdU*)B@(DHYf}0FiED1e5<9Qe#R2D|(QXfd*orvA zX>`voZ75Z?WinPuL%*49%vkY_AN|ZYj#Z6lwYjdgnp*sX1;sb z9i)Jh44r~oIMei7+C3*ce+cPEcA=`fd^u1VR#^-#P%!WkFE*3!FT@y+x}6udF=L?Y z%w<4J_BpD(dg8oS-nB5bs)>et#>TZE>=7ouba`SUT|U&+SDuXqs*uBu?|yg^u2IHx zRJr`Rn(VKu!2l}w%4d1a#bj|*ng=}E*pDfZLpgavpG}0Qdan4SoI=gnyK3Uau$6S# z9h$JWmLTkhH*y5LyssdQbkJ0D_Kt9!9Dqa0T$6we%E;F|QdC^dn!S4};9Z=r^hMuN zfg=ap#z#Q)`5F{}bFv7rwt70CTVN97FnHKm$~HWWjVn~$D12)41@Ftk1_eo0L!-th z6EGw+B2V*@&+hHNrl%Xo5;{>K8G*P8Tw@c-=9yLL%(wA?luvfLuH~m4E z>*kuFrp?45$tc@#)vDAGB3y-?K$YD&E7laA>_ysHAN&l1cnGWSx?R+wT4Qd~q{sH! zIsSS&MCaI)pRnzL!J?m4oAZn{u>(n_3^mr3Rzc*BT_``~<=qNCd0T6e zWU#a&u#|gblC)eBDrptS6*I}FiGOW$o-l~Tr+t>3M(-a#ECp)$=KxjFO-u=fP$LND zXvt-!9voKcKfi%|4u3S_YSmYZl4&Ebu`|*<<%Bbd^%GqCjEMB6CdCjxgwQg-uvk4C z!Gp4{L--Kd=LV>fcUc#h1<=G%pq3RZ;H%M12?1oc!AK)xc=Gdm0FtvNA8mj_4s_xo zqV0NWLK471VkAVI)Z$Sg6rw ziC};{ryY$XMOf@zmC8qG$I6W6wBUz1T_&Y`Sc{K!u9 zS|Ltjd4LDiO*>quYbEVEpH+6L2_4(5tpfm==(dW?k(v5Os?Ku)`l3@Aj= zrX;tDS0tn-&|hJvEZjWmJaop?xj?FI#T|Taa=>lE%`4EI&j{(!>(btr)3H<_wt<@2 zErW9^9N<04UVE(~cex-8PwM@~LejEmSgV&l6;Eb8?%eFHLL=F0{p5ms3Qo@*MigZ-)V zcbv^`Yx{BdI9)_X-uTp?S8yBCB{LC`(P1B8S`D?eWFAA5?|w*mx#l4(z1MW-jB8)e zkra^f{X{?5W-arDDdYcR?=8csTD!JkMNkj}5fDKE5s>bX4h5v7LApUnr9(haECiJ9 zkdW?0haw@}9ZNvEyWt(vz3=_(`+4s7`HuJB_hbL@AeO8-uXW99jB$?hJV&Ns&{LjK z`=HYC*Q71fVcLdgFA#q$jw)jmgl3Laafk~8rAOl0CLrZToYtRt(nwXPagd^LShG`0 zcfNPQP<1#Hc-vJ`^n0n+awaKiVL*-A8hwbHp~37PJKq-7qhp>N)C6jtfeLFW7*=@I z4gi;_o8?`TG$_HmQ7U=MetFBQ{ULRzqUowpYecE zSZ^tiVvKl3&C|6U@hn!VOJ;2!g}K=%>zMlwSg%vSDJQ$IvT9HG6m4C0twf+fusqGN zW~2b+Fffq4y>lfbOSd|R^=yK9SlTisXJ71D%b2^*J`3{r3GPhzvP8o8h_+uvP2J9p zBm)}C02=^Eu5Co_ys3VXAv4!o1K{HiW!o^jFJ7<@7=(*OF!VFGu?Rr{sxEKD)zfDd zx^=)bS0r1DfSz3YEC&}|1TUC8ZorHKQoqtKb{8YT;L|$0YTrDuFJK5k;&MIdLdq+T z_s78nkDG*5z1uX($`lzbG-a*Cspn_wLOxXG?#9oZr0EQ%2mOv4>3v=yvbN}F4L6tW zzDCmDQN%BpJyQLsuj{@gPahGas|qZ6ONQDqC0z%OsAa#AVvCt7ImvH<_H^x7Yi{Q}o%*DZ`dnqP=G6M<576!J+=ZRYw<<6&`*lPAdG+_8 zr^%4)j1;IcBi*f{Upw7f1jD^$)5a-ju&5s?EHm|vbMAQoP>ZJdg&-4@vXOCV4Vme zoRrzb0PbeSf)9$N^bx@wBM@|~43%}T=?A|^Nwq`wva15dN)(M`WEDkr-hCHY*a}|# zt#7Z~Mq0x*VK-rpQjrYt!L;WI-JmmoUc+nzs8r~j7F~DxcyGDtSt!Gf9nv}uDmNcZ z-B1#SBr8vRnI>VnSHKPaX8zWfs&p39QFiHcz2iuKbknrl^E+!)U`@h}salGS zxt$g6R@8D^K@tP;X5Sk|ABPIwMiJbAVH9%lF_5l0mTGpu9=0B|@-_uZ4~HF){)SHb zp;{5s(;^^&#J3hSa~&u2+k&O7$8=%$!vZFP0@7E}iefS*o*;&OzpbDoZ*;53ytm0; zc@~A;^SXSwEJKcn{?kYPQP^-rJ_*H(NYn@XD|v@|)1qgJ{!rhYO_{Pg>W_@FvY4V5S&upvM*P~DtzXHIvs>6u#hrCqM{ps&XpK1M=E6^EO;texkZFGsNak}mCP5m4G_ zJ&T86YfpP9Ja3V`y6dVJfR=iIx8KXzJpWK1XuaIh@lT#Ul9SE`EBIcThMu}#5KIX7 zqkHZ5kT&CRMzaF-Vw0S-5W=Q};-XC62pg0!-Tp4bG`ta`yc~&9pENtHa=)E*%-a{& zD}1czc$Ld#x%*21FT%_MF@|ME&0$s+K%-3X5Dv&awH82ybW|)*LyW3 zEsL8HX^IwZ7X|rSV5tW0EYU9eA-mA2pt<5n+s>!LT1SF@?F6S~x2m9D=BxoCR@hWW zqm)h1(Xg3w_g^90TB{Vx6S3S7NWHt7;<~3J+4YR6opxoIsnRS%V5E3q5>D0`biw5N zCE9G>5T?iJ#WUXy(aYyzxSFq|p78=!-AEC!vfXnzX=3wr&E!FzTgTlL9b+ot6dR$} zsQg{*&C#a3yeu_EB>jlo#j6xCr#A14&kGhEN?V?b^E?KZ&A<(i@myM zXzRwxPjDbrE)2P~9+h6(K6o%>SWev^J+rvefYfs!nvdc0*q|$5pgC(Ylc<%tGg`o(+Ia zX95XhnO3f(a(E%w=^}JsUCffL&)90Ar?NI(CaH-~>5x?jX%Vm}^?S|}^+fgj8jK2# z7XWr{3k2aXIZfAvnkxFnFU!(fVYFp?Q^y}^1?rQef?5F5kI>0fdo7wZ14QuZ`S7Nq_Q_2Au7Awge#Vnc%DU%y~_Nh0WI<<(VQNS7> zYz2XLbWBd~b;Ds|K+#DYJhp~4ub3AhK!2Q1D10zdy*VZYS zgX&5Cch$HuSDxxnq^%G=8*?+!ZA5mLpQ5HbI>G_MO8ZN{Pgb&mb&g8Un40gd42M9d zC0ZUJ$L-WIEH_`nW>OrVQzxE%2{YmbFyCdE82VvMb47pHM6?-|w<99RchK zVYdPJMf;_SXq}H78xVLS!Sa@cU&5d*y+Xr5&=t7W!)kAZk9Up6%I=O?BAhbND>z<| zT-i0BN~Icyz;C0a;My!xDFg#;2YVqWadoT;HA9Y+CH=Gd$S^eZ&>r8jw@)f$D*Is;7~U# zH4C;O?4xr8ee8ZNCBP&O2k|`8{Hl8nx8F;A}#w1VPy*-#q@tUM1sRGvs>HQGhO|Z!jjQ!9dNjj(InAV#9-gqHJA?3 zz6q(Km7hjQWgyI^Rur}miC3-e87o}KE*~;BFkm0h(zD5d;HYE6mbLMYA=|+c&YvG~ zB{nl|wR`>px90z!R$=OH4$uQ=< z(i!VI;U3UG)k94wWXACudZmZ`)Dxa7NMENhX&EJXgIczo9oS?Q#7>J&}p`J7sNZJVz6Nv$ zPcqg-1)Ol72V!B>Xr3|Mf?D+hLs6iBHTP=eIT*l7*lURsQvE`6gXKRHyhiALr-6*bHwHWNBry~ke^ zcPZT~x;MbFRBAMYK5tged~^p2*C^nO4Kd4oe_m9aquZ}(!NdV`ToW--~Hz@PAOv?&Ski{?xx4akZ))Y;%U34_;5D5p?Xn1Q`}PBJ#3o z{Ia$bOsmXL2G;IqdoXMeX9mqwgKW}P|l{>%x9xCp)l%s4D)+(O0W{0 zKGdi?IHfa-R!T{6qRP5?1AtDXrM;~>`X&7UOU``B8G!MyQAwstFgg9s1|+tGR^`B| zj6#UA&hJ`2Ule0ha5sP60PMtYu!8TTxy1Fz1rna&0gKlI**UWT{MpG+jtHCnetfn7 zp9r4fm(spc|Llqg#RH0EV8a)!hypk4XJw z!ub&zJPT)o>&Kyr>LPH9s6;Q$FC3Ea{m%(Q+V6H{Bc~kQD3T=g#TG#T(vB zsdcQ9WU9Umpkr7OdGWEJ;Lc{yX2>`a&2uC)IB7pO!3fwmk$Lwmag3hP6}42O4r-o(hmWrPU<3Bvc@)iMcL8N@j-g~3XoC;Xy1J? zHjw#pd~^^6*~p+;&{$qix_lPlRzHbB3c_hEs^}>Kbu~NGohIRde^v|k*x-!a`d(E(-)LzoUq<59hTiH+7L9~yO|fG=l1XS1eb+fd;4o84?4un z=KpfDf80}LVg0t@-UYbx)7P+qEz2RNTCd;gc6Oh~;7Xr^k&GO_ldq?U7p!;#K(7r2 z2kBS_18ImfS&pkHv5XEGW(!cw*m>#;y;<{!fQV@V^$-(jDLoV`o#jNnprxHRJ`E(& zekocz66~JfQ#-oLm0X0mgao0Gdoy5%MGghS7Z&vT477}SI-YrQxHadQPjQP=NS&tc zavU%?*A3io{)ZEgkyrqKBlm$XC#b+V+_o(X`ZO&fK$qQEG>yA)8nRlQ_vrzP+e^by zS0CQJWzUmNQoah?8%18w%v>H07)|GI5k^P6sNc*YD$*(fzS8V2T+eY)}ap*4x=3UfYx=bh!Gj& zGYB2cdtow6XQ7R}35u&$7zuvcM$hjhQp-d@JTM8f$P}YyEe5i{BD?AQy%(@v3%3J( z+r8ln-^9;Cp?Cn&xZh_t^AfSbdAc$+rloa-w5kwp;HHqKxrGeUZOM9jQBTvbd>fHb z>^hstU@9>^g&9i`aEf$V0+Qi4at}2d1tS>{rMTsS(6}Y4S8aO4uAM7n(;!Rjqb_cZ zB$-Ps&s-WgH-e?Rz`od+*M~2;p_`w`We|JbhMth3h=I`PK=TSkkwtO}tywZgtz)vG zC1OlpsQtptruibTcN9i#QPh@LnkKV|W%07BR1F62cZ-42L3dHy%ynIEWCN8w@IdK52z3Y4crG zO`|Rv6lp2yIl5z%x>vB7L@eK=7=9u`v>`tyAt~aj@Cnw+??d1jUK$Zg zezjW!ci7=~?9!Khg`dj1>F&dN)?hQ`#ucx!s|rfXKv`KAWN{Er&pQL}Xb;jyQnZyc zlS;-t>OCUHNBRwqE(|#$4OuYDVuR|o*of7&v1xB(CJF?tJ-~gxoB|>hiD9-|cxo>| zTT|TUXkVvzQNoWQRZ#Mgd??`_H%H=MB&5nC6al_yp zVK*IN7Kuz(W}3N(AqsB+;n+gw#X$BJNz&n;--EM-*Djoh^=8eVg5Yxv+M4N}ghiYz znEKIp9&fnwAc*3_SnzGojE7(%h?pI)bi)xwyRc#wae(l#a{-X}Ov2b+ie%y74WrbI zz^)h8RSnuLa`09tl0>j(QMimT;4%_zx15JjqC zmF)DHw<<2%!tZ!*_4TL2?=rX~OPg_eY%Mv?8k7#1fc)?-Q%8}N7Qdqb5E(3aQW2Uo zFEW>hnZxHE#Rs@viFa1!ig3Mknu#q2n25gVx3S!P1~_9i<^8AqPvtE=)KLh04CnG= zLEcDy3>3*Q5PlwBP{hZ?dz|nUInMbU7azlP`Tm;QdHfjGupHLC=aSz&d@*H+9{Dzj|{ky1sy_sQb~v++8z6{@>qbCJ)evhSy_HMgPrl{Ox4Bc?X2bIP zUA#EYf25E#%Cc+wH)EXt@fXtwDMZ7E(r0S__j~A~74c^EL$&e#?*^GkYA-Mi%rj!I z{_kTd9weT^sp0J7oB8lRuIKMp`%&{W{yz)%_mBCXh5P&dKuk~nA9viQY=hyyya4{$ zegAs;{vQ|dpN0Ep;r>IM`yGV-2^4=>ss6c1{)w>vE$xBSr10US)L)rN2fG(|?g9S4 z5)RGG7Dnxoj!ftTr&#o713b4|rP%^*dM%M$&9e?Lu+J0w0YX>sHfs!MjQLGEe zH;Pi@lsm0h1DD(ys*tFPtyUKfP>0$(xh0IzNZlPXhTv<-h~ z9ZS3(!RCB##_Y@AcrD;4*O<)yH9v^rXBkLNw2Ke+9 zn!Uu~H(CT+p%-#@$Et3F+VV+NP@KUqk<(e8eAp3dZ9-WU@6Q)!N`&sY=3W2m@fMkaKdok6Plloc&WcqZX)3sZTXEJxcVYG&TUaVIkUzv7RUyn&o-P>*^xouL!>Y5 zTZCKw^F2d$?r88?t7`CoBK0#X1|nw!(scqKDc;A*8?XnXz)FzV!LH_S_Jkrma3K;* zO>5eOKV3R{BNMbCNfK$sBz~D|;<4xlHye&P5FA#Y?3`HUV_d?VSN#e7vUNcej1g}E z??r)fYXBRX+tm3s0M;a>#y(0x;7x?PiietN_kb^P5 z-)*A_wBjQo9*aR>wmsQYAMgp%#7%eWuK5*Tgv@k8NII?eE(;n1ls;IavvhC*m}*tC z#vkV7zt30^87yZq%QT9Ees6eQPzo}^$hd%1ZKy@2Oc%Z2H3T@a5$x2tQ_7w7TqPox zEA6IR*Z``OneDRp;2rXOX<3vZt-8kc z2y~x5zKaLo)w|DZ(^dmxb{m|Efqb>c+^#bKqS(Z~4<6mGaIPK_g=wd}sy>$9hDV>a zREK~;r?Lw0h>yGELbWbTZE?crS+f8701H)K%zQHxjXmcpXB)OE5T4O_w|ygCtJ-GV zCHJm`hPQ~|`Hs5Bf_?Ne@R`5Ejt1(D#3)5JoEJ>T&rzTGfHLRnUjWU)Nc8b`v3PSO z7Kz;w=-D^MO!b@wO|J2qYB`FU{^qj-A5?OgvS2G+)sLz?G8b0QDI=j(fiT4)G*w1@fi|g4{=GKLSdu9C#BimDta}M*+pj}iBJU6kGywT;J{7%lkVZp&XD?3FGq|E$`J- zHF{jMDHL)r*z#xHEy4%S7w794QKJUse&QvctL-m+DC<_ByR);yByf3M;L-EmJWQ_- zBGX}_vcGF3YD};eNj^Ku{QVF*_D2{2!Pld*W{F`yFKT5w!dSMmX#Y@Fsm;mF#sGYV z%Fz&;rmX_qD}n0fTcqQ8w6(O4_|#pDs8#LU*M2F>o_8yVxQT29F+%x4WhA|fGyz`2 zLB&)qKQ2qNHdB5At=*B2Qct;njU-gHP-$yY7G?Q^N{y5~YxMl(o4dzgGhy|EN>_%g zpZ}Qrc=gTe7QId^G8qQ%wp&3@tx7;Een!{~OueWBNFAquU^~^Ub2R`mCsG`3E9Va5eKgg{G83(@e$biU{?9p>!`K@%~ABEGncH!@f_JCVJ!Y*Zk zZf_OL8QGJiOdE&h5#t^&v#uWE-m>C?NWZwxLN{rme2jkwELbwf;lizd6lPx#aLU>! zYIkp?QaiJ=rgq<*X};wB65!UE34sUB)7P$E1Z!Tydo&tzgnsIO2A>CcBGl;H&cJ{F zI0MhLL-{Wk))S}40+&;E-_U+pt~iAwHk0ud0}#3{43EpNBKoMSsxkXnYD2U)qRgp9 zodLn+K{^;-GhqiZCt!ifP5Uiy&tgzv*a8ju(gXu=qVu?aQS`EMMChA~9v-D8jWOh` z`Y^}yI>&S2+fD{4TzdBaHxmofiA%6G){L4Wqp=a1y>SfE3U1oY5Un;?1cuUzNqAu2 z;Zb|bxJxY0OtqP59&s7hpD^tIFu#MX`ab^9N5pt1vST`6SO_s>h?(Z_Ny&4@ua;QOVE5o&E!>8)~j_0O2nUr28f z_UR1lL@-<2e#fClOZ2CEu1G639Cs(a$0I9B0+)&2uz@a69#1-G=3B}F)BJ+(%r~0h zk%LDa0_`vBc6dU2zCiTe&s1+ae;SjLVAYMH#olBf7gTTi#}gV^#q5)sgdty9zD;T3 z)_~nd0ytTP(NbGg?B(W|znkH~5|s53v|e@uHbD+r(l`v+-xtlVgp|tTw>Apnc&kJnk2G7kG zjDyadncitkD%d$_j+>*$3~Mh<+_K|W7=`Tq{&`opMt-fl@1o~!{&JgdmBOocU_wS2 z6UM0<=l~ylXh-0$I5r0vOYSC1uM1gAH4%g}4R4?V94;_5Aq(+*xW-JldPm^$G#c%! z9*5y;;vI*Bq}B0aUa|~K{JIhK!3@!3V7(YLSCseknOsHt%~yOI6qcN(@%7E!&Lk0` zYE?5IpZJ96WIrqC^a!hG3Ks2f{t%%zGW_f$pI?nNNa`?xA-kl;qaKnBn}$mp!#Z)F z__=k*xf^aeMcZ8Gq=~CHK)4ukDOxfGFe&BQvN>n$AXv1`mwR^BpJ>Iejd-WX=2Jgb zO`RgSqhO@DD;GhPI@g)_1~L6NL%d)RGogJe({{R`l3wylCjAzc+N=wH)PlGGt&rGrL2){f7AQJRV0P-xCTqWL&tTBDpc^o`|5_J(M755cOp*8Xhz28*>x)C~?gBJ1^oJc8lkz_dJ_g07Gx{CqQN~6&Y zfkz|zZ)Zfiziv>pzbqBL=}gwrt54=NgctAIIh1-w8iuFgoDX)T&<5`3y_7n+F_w@@ zy?BPTApTxy?_B7WUIY!frgdk*1_^ElfAxsEpWDpN)1;fdy=KcrV~5D>k;P|~5lW3H zSqloAg3tZXUMftGi{h?|14Z?#ilq>W4bpxQqbnZ3;c^*vwdpa*47Ac6tn5ef=3%M> z&G{SbSqufk;#@&bE~aIyu)3P!_j1bG^ zJMwxe^#Vl~+^-LwCG29|sff#&(d$Mkf{oBQzp@LeP7xkKWr3>2zCJ-^ z+bvYQ=dYcsYNsN{=;v~(J2^t1>@BBfYk0Rw@~4u@^=geLxi(U{pTDMl7TGr0)!-TJ*N4mw(nlh$KN$B9RE6!Z`0-X$O?@@G3ihG&{JGIEPVTgNmR9>1^Wejl!>QuZl;k8mHjTfgRR$A4 z4U6fqf)B^4-}v_p{l;e6r_``3^?o0$#LlPlDG4#gJ->&Zzw{6vLg3@ruX@Mp*M__1 z5M>nqi?hLq!nRcp!bZi^v&uCKI@LKdlY0CMBjVNeJ5hbwc5>Bqjv5_j41Qh`V(1yl z7)erl<)Lig&B~Dyi8h@EkqB4BvZ#Ci6N8ikMYKc2@*~9J?s@+dbBjG&)B$(kUJG$R zRn}zi;)U)B=2Tf`YHUH;I`B2RVQ|tK1>PMyBX$S}kKH^igO8SLZeK-=mevE66PSh6 z9ZSy|0?2LHb>1UJW5IlxI$?9m$&1{jq&@Rng!X>LRHDQ?sPOCjJ;r6kZBs0efPAq) zV5I|jhcwJ(P^4Q=%D!`?`7_%Tfp%#7OM%OwzCrP3IkpEOn(fGu*t_qJ3sEWie%~#H zVL*v2%8zN0zA9xrGb>nS7^1Cd!Ggnl*xiIcoGI*7%ZHQRi2%A@C6?4FwKVt7vnldA zg27QWG}tdSndruQqMtz0nc#>!|Czm~?KJ6}SBH%zP}vTNt}!W3sBS3}^Dxt3+u`Pf zW`Y*e_vp*iJUb|_@`{EZRNr3)oWNwcaz__!{Wv7449F?1z)3L*cFwd<=d6;^VSor> zfWInjnZ6K#^u_~Hsc~vba_U-$d1*NOU-2$v7OXej*p%4mmkOd8^xUV8(;T=&E;Pbe zx!EOJp8HozH5V|Dvpd^Lb2}#0A17Qo3S8cAkQ_*c(@T0yfSB8GAbSjR z*06BQJa|L&lvgb#r$j$^biEhSYYY=Unv*B=Q&qSBc)~=>Gp1wk`OfU!o997!y}u@ zo%B~dfilctz{6;tkmkaf%RdV~lk`u-ogA9k0mU^^ zI!9RN%#ahX)ZYFYTe90{{Bt&o7vEKY!m7?sxpbhpXEj~{)&M7uuUrMSz-3o_xg1y- z4OaCNj6#ac6TayS(508g*vHxjhPxT!%La$!mkN1RCm%&wp9Us@X;7k_zovR9GX%F4riDMW&*&^FbAeKC2qp(SCMBudQ?lB=NaYdw*@tb=yf3 z3oxixW6pqIBXNbYtOZgXNBvR`3!o1RTkK=e3Ipn7=d`(0D8C?3 zHB76IwhMH8rDZQrQ5xGU6H!)%Cw%eQSt=l5rxgPU@9B|H`!wh}|gxK)wT;?i_ z$#gqmK?e1*zRCJ*iV*6R z2Pk`U7L;zXzGn`~$C7zWGdtAC)CPH*E!uQOE07{{8kL&I+cTAVOgDG{_cz4G*o(@o z&)vlD8ob&ZfjC86z^S=`XZk0APN4u9fJh`!797BFfH50hL$*m1(>TIOwq>i?-zS3f zYCl`A4a|D+@$Q0RPOjrrn}KgZkCM!ub-J2Ba!NcKw)B!R?!u7Zt?*c5a^nANVSc?!v4L~5z zTy40|jBB11rL_Vc@*L)AkM2Tp_{6cL6hQ}-l^Si%N0n?2_lKCwH=#!E84N6B1ll!a z1&tg{lo3_3X{%Px^KAm(IYUmGVb2XR%_zvvgo}v>UHn3bQ-)&}FSYzRYf~g0`NXUC z;S=YXa>*TlPuwubRtBl#bG1L@R#gG%qR;8b))9tOzj#p=h*(}~Z8m}(+WKg<3Wfrc zzBj&5)wzrWpZT+PaQ1mo_pz*OHG5R2v5F1=9EDcXgRl^=hL7#hfDDCf1!oO&i4VjE zJ)dU*o8Mlt?X=Nj^1UsZI+-rhS|eq&n--l+Q`ZF+xvGWl$|UCdbM!jb%^3#_-rRgH zEWxyo_^+WIN^!ZeYf=5WQRTG!Fpgwru>xNRawmd|kt%2p<+M;UkKytX*-@+XDdUc$ z1+mH9JvpFXXQL++nkOoVdf63py3^e{0qP&MU+8N^>@BO9uzJg$uKxTs4F$^PO$#Ll z?d8h^Vlk|LJsb3ZKz*o+bRoOI4J+078nPK*>FM7q73gd*ynmHK^pU4S({(W4I)kxq zQlOd2>7)sEA%5s^2XjJ4;J59Osp&bTT`&_=0pbDJijX78n1YSIDb}c zbpmyae=OeVDYfWP3Sxd^lc&faK^=KW1NMDO+Io(FC1M_Xc^Qu7sK!lr!U1BlomS_< z1XCxv{P}most@ZBCf795G|8f}0Uz71>+`xw1526QYKAaON&Uh|0O7x=3nB>+vwbL; zJOSpdhJ?F*RbZB!G=vdO=mBA3C@KR}4TfE>z%sIMHM+p)XFCjY@!7CnxLO@GwV}mm z&|X=WYa`}7i@gx0G8>?BL=6jvmiVT>cmg-&}GalgCvR5>stRCng z^%=%C)I__^rw#Ur?c44mG633V$#48?onESA|p)Aei;S?@mJTA zScD_dRHEM-y;+VvYWwBiev6}eF50dwZ?bbLTiMnbj&ocAM}_{x(uPzY7ivC-SaZ6J zwLL^nvoT;4Fi4axI=K=9M$i(TEggY$*%pfZDd?oTinu>(LgV;O00*p1b&IKa0(5m2 z?b^RuKk=EcwkGfBhhEHxdNRkJD`rCy010ZD-;NZ&_b2{i9lbB#2ayMV8GBYH9siOj zQ$SOQN>;+A?|#i3qHeCGyuFU!}qImbHdc*#@?m5JvXQ3KsxCOpeS0fQIGNr8ebj8e+G?1p85AGafx~om~vC~%eX`BbyMb|U-XQ9 z<|s>T&{fl4&s?@#ds6Gb1Ue7@qVf)$t2Dnt6n7+0r~1e-G67(h80BS%1w$65L^q4^ zB;ixo(jSSeoBvu_3Iy}e_6u!=>U#*ngFboextCVw`&R{iZ0H-vt_t0R6hc-~&@L2? z$d6w^ziZ|S<5@E0)h*~8tgdm=8H7gNupBKzEm7KmDE9nNvS}Css8=x^dp~>(^miW6 zLAi98muu@h#?+Ye&C~S9qCTho$N(#mSwO2xtk8IzUOSEIO?{lUNr)=_NWl|CZPD(9 z)0>ht5vSaBfSjn$nmI#M8Xr2~Mh&}mXpsdQtFfo+f# zuX;3?{M7@5k-{7L*%BKwE@X^W4e&HyZhv{q?DNNFW2JG9V+I1-T)Isg(P_+d#`vTd zO_MzbGmUIoBz^qdeh&UX&+|l!nyY8YQ1BrPx_F_8FPc@=B!{q7N6pSU+@4#?x!;4h zc7VJ1FQ)Tb=~U79xKsY*^ZHk;lUTM$?#UbBsDL~0cEb_Ei>7iCe!5_3oLV1exU)RowOORb2qE7OL`hH&TSXm ziPnH^gsXl~)gM-cv?`{dk<2z9sG`%4DK~Gcl9kev&q_N-P-ue+&6rBk#80;vLYk=5 z{x4}964J7-3h(|rb0>&mU2WpGfdCWfcd9obcwKj0NqCedl^s{c1ZOvw*5SeH9&z6p zb!<6beK8~&M6!v$ZQ&7z&$E}w7D?Uc&9daBKO>^$$2T5Shvt>31*^D&tk`m=Trti@ zyZu~n@qfvt(Dt|OG^(T*^q;o=A2;bHfC#tca z6lO-wv2!vDTJfqWTA4%3*D|UW-V`AGqknWHW=h0{QPaVzcOeRe`mZl&0Y9^**rDUJh(UTrfvwOdw87=Ht zRrzM#wWAse;Q`D%rBx}^;r>Y(=|WoT%9R^{tty)P&wNwjlUw+sw*ox^ zuhLCuw#(|p*wz2J{XU9$<>J&3bUkhQ*M9t?Kdb|skVpN!&5gG@EKipaTXEmy|FZ}2 z`}hCh9|bq0Y|d$;W&5k&{~uljA*7XvLUaJQ#P|P;$orqZir>bB9j_asX!x(n{Xe}5 zeiq3DmBpa_;@{fa|LKiImf+SiEBO*@|Lsoy=Sw+Z!`w49-yZwhUsSk?0a;iKOg)rV z)Ih}V1=EohM1SL*{87y5z3IAN)e_PCd zR`0(p$RFSSv-kcJ$Mc^j_dl)5KL^WydW8P}f3Rpux_?de-+>}8e6IUT6ky|&2R6_} zO@Y$S)Q3@c0w=Pkb_7$CaRh-1Vq(~@LOaAB-y#sD zGfa{cNmsdYC5NK{YcG(87Lx4&Q&$x}9KYNPb0{+q%#_82g5dXcXoj7d z{MKj1FMa7Wb_q2F19yGQ^S5_AOWNcp)X$8Ak!v<{^`R{nOw{B85~~?g9`LqO(TCGK z=^*-RGp2;QNe%c4T&2uqz$RKQdg(hS7ck%>7y;O3TiymE5PqMgmR zG#Lbj0O{}}zY7843!!Pw65W^AsH#%QkZvh!M4l7^1fy0xhc2_f^XeUqQB< z12|~*D$o7UZzn)ys)>-vkMudT0))vRuImvq>Psl~F7RSIhpy5nA#^!&0LGD?^(XjV<^5W`upi^RGpmK4 z2_r)F43levSr-{SU=>;Lo?;A0Z~CSgx$se&j_C+jqIq=lzicg9u~)49gwYNb$I>HzwZz zE|8abg6(|@Gg2yk%*?L)sLi>J%oY7x=tlf^>Y{ zHfMou^&2>$X?6P!fM?7(*MP{L^#`7vi(zHrD)@78a_-C03|T6*ly6L2K|G5gsP*-c zqjF5(@%mSLc&5*NW+>^S>}cBALFV@A16}YN-$JG`;Xb%Je|SyLrZ083?WPwnA88)J z6KpZB1rt3Q^Z`p>KCdVq_?$Cnv3b5!2%2ZfJ(Dn7t?NU%+neK|>ggqg za~k{Zt*_1jH^TnGpcjztj)Wz2@L(Kicj15bzkD4&UN8OFB+ zGsgJZ-TTSnxhGSSgIYAu^mPL-nVPBGsI^17<}G1BXi)_1#5}&o*RNiMbLPq;aD(TA zLO$g9RH8n0;$6I1ZA{|JMY?XyL>Fn)fy`C^GKFYC`}o7T5JQ1kwHYk~fyWtnmhbWa zL{IO2$S+6pR`q^wP;qcPFzkXy`$rFGO&qJQS-3G$jm-=p*Qrb%6JfzQJUV_`6N&Z8nS%xJs zJ?Y_H>|f$PNzuEn!Sg9ddazl&ZC#6n<6ug+=b#`RLPG`^!_!9GqNrahWJ!?0ICi3B zXj%l-g*mi=xI7<62E!6lDDa;i-q2X;YM~>(968uSVrWr7=@)VRa^Fz?5_z?%eb}1* znnPYl{Y$Ax*9_mM^*@0Iti7dC`oP^apG=!4OyrtiZhExQe8L6bEsK?m1YTITv<4-N zs$s`4v^K0dYjR=oj6w{+`}6QgW|F9ft|GB2qy9DqCJaw{!Dyqe`S4NItPt3j(X$6J zONGh?Rm03lAC?!!H0r2;(_j;y3M5#iTP(}B3O-GpdC7UFS$SUYYnL~lUtF#p5KMwA zWM%j?JXCePWt^{!fOUi7Hf5(u3g{DF)f2m{ehS-jB^RfzzKPHrLR#=|Ktk}WRN_-< z6Me=jzQi3GP7^OrQS8E+BPJPUAdmAeq5}tNotcibQPg4x<%%?{oA7(0faEyIZHngH z5zmvOG_n2dr3~xpBS#cGZ9e1qBMU&YNH9JXI*kmEc7Oo%1&enrsFw>S-FD z=evu&OPLEfMh4>IM0*Ulw+ccZXA`(i!O-=C7}`!Og(Mq^_W2X{hwRJ<+OA;Wt=@aF z7EhjCmBdb#N!9F}8z`mdPJB6ib@bfiw|cHZ_*fLJrfwn=DYM#uz0l+2s#vkBIM&~k zE^!z8EmtYs!xb#r*AEuZa7JJK@%jgfuhKG2HTxHM-Sq2sB}t*)(+I&HxZ?#pGR_VO z!pX|ComY*F8l?8#z^@ymm05mvRMSUq1O3qYP1n9xTvlc{&jHf+`v7hlSvC63z_G#* zEEsvD)_KnA#|6alTBQAMZm5>WHH6QS!6+#6jsE4=L!82dR|N2K&fAryd!Dl&BfkVsN(%2QA~x@4$KB+=O6ZAf zDLzX7w9q?2S#(8Q$(7f2(2Q`+P5}pXFityW2M~@SZ+^g}WCnhhOK+ zdK5!F`HhB7|I8pOndK=msb=iLE@y@F+3G*e14$@Fw*C9s+B`UI6V6I$n>fsT-oSs{ zMD}VQ%d$5oa7*Ue){ol(uL`&dYx;f}-2kk!M8T?;fPD$R0j1j$+ep zR&hM?=8C4YVbDQU%2_q9=dE;6=5tG+3d6EuNG^5@_s@eNl`7aRaJ|=rQM)0T#V}!m z3EV2`o$+&FULT!RW|4JE%c31ajTq*Teer{x;;d-#(uVV$@w|j$9t9rz-Eky#{p2@O z0RgS1tbm#B^Dv9u!>8K$NBt^0>DZeBCYE&J7G*?%HZ2@6`2M8`1OCUHSYQb2QX5G{ z1-WBKP+Q!-PmDQoRbOB>HqGW;)@o*xb4M{zVaoHUWp*;lR_@lso-9tXVCr4S8TA;B z*gQ+bqmDmT(HMgO?Oj(;nz{77U)$6j!GhR1W%KkI2_mbA5xE1)${iL{DtA<+oAJqa znEx8@t`!t18ZUxrxlr9K)2tb`5$yic*po`|HYF+)Vaum`{(9o3pV{YhpM65o#(tlBwyPgtF6ye zoK5#fAP%H}NqOdmH-f8lxsBT9xrZL#c7XKdb@lBhPijS+$6RKTv92Gj_XQY#Gma}n zZcX~a9Abk#1Xd9Xy39paG;HHOkP8cq+>>55IWlo^uKt0mt3g>pRvA)OR#9EI%Xn~R zp73IgumMf8$0ZU@+QXnKnQe;^G zR~}N?XpAX@l0UQytY-AHvbD&}drkL1id;t~&X^z=oAo;O!RB1z06*7h-{vA3ifZzF zk5FV`(AzH6luxVS9CspyzGivD59lw9RvR^%1vSKu7 zrgxL#R=$1OjyOAe2>NPeryX7PQj*3#3|09ca@j*U!q@-)!|HGx@cb!%UnUhJ5kPiR z!j6uiiN}MWvX^7`C4}3tvc+8POJ|23kv~53RKO+0?%GZK*>&M zv1jSE{#D5K*N;`N&QN)FS(cpZh%oG1G_RfI#CKMgxok73yAt-bboo^QMVe&6>$e=>8=ebsrLah%8D6nt@HiLLwo8EbM$Di#;vCI^mZt^QTJ zOf8S}yZJc}7JFQpp2IQ}+OuzeZ(Y5gj%sA}O_~p;E|}%J8R2exYDSvzDBdKY3}=vu zdaH-&mCb8B3?Y^URL+n!5yEQ?IwQ~28Wcg4HTk&0Tzu=J3(1^@4)*GGh6&b!*rMgfVq4a4kWe|?Oq{4>*jd@Nb`iAh z3qK`9@HY-!8NVE5BT_jCi30Xyzh^T&Sz+FJ&UJ2OqsQYur%?=*6sH9 zth>~|go+(YOshG|X0?fmAep#wr({ujaV+DeZBpDwtNv{Bbo+3C*N;KL7{PF1dUikF zd*AJNNyRC%lDc-nF~Xu$BH+k+GX`PW_?Fbap3p0)6%J*9{>@gGYkI<)ou+&Jk4&u8 zYi|oC4>T`D%N{@6?2$@Bb#N8RwB*DC||-3Ko*B*Ty=vD$Gq5Cobo^`U+c z;!0Vzb`|Jn589t5m?Eg7BQC0EG=fO+pgsj55gu^`DOCGCUVN85d#{R{Z#`=e zyr zDPB=^*P*YS(z1B?d;aG0qUfB>WFhpRh_{HUI8r{2upHXHNZVAnaKFnA9d**E2HH~% zFipK!w-tnGy*R4ttowq+55KYE5$>I}hC(s_=ME<=v|0N|4nBV0nHxosxh-SG4VN3< zPY7;xASvW`f91OG)@zR^DaoAzDJXpnMK~djEy!6|+bw+^)XrK537Lft02Dd8Hc`Pk zyA2+_)9Lgt5TWIGq)15-yA6je4r-6_YkobEzlOn?bOzi4LskQaqMr{myA}D&)YTbx zDGV19?d!a*tV$i>FR!@ z@&xVb0YINp8Pi5>z1CY8QBkCmNHFQ|)-xf`XgsaqC6e9G*Aam`E5&y>Z>_;jv5{D$ z^{wgSa|^QTvUy&BtBDucqF$Bw7<^&?u-qjTADOh%O1h_#sZhIXox(YoJf#GdG%r<| zoK0CxFRKIrl@dHJ&o^oplol!;51*XrmQ>y4uN;QtO!iuYI_qX!`$DL+u-kl}#uJo2 zvliW8!bDWbSxHYUG>~!Cr`YE|AAMJh07cdzSHYeYGVH}5;SMmpf=H234q+p)rTRwy zooNOxM+?D@ga$>v%@f#u6m_V3zv)y?YdXJ~jNb8@YL-0Ahsp_d^|}gkgGLKGb_IsU zt8uun{5%c$T|8-h^>yyHCr)q5-wyzOv8*+U!Sob;W1swi9P1;Tj?|If!@i}*5*5Ej z#wMBgKO);0DF_r$71w0Gt?egz{Y8LF6k*vFDy7;-auwg+mgf%uOW8pjDMC zFRD|utcdMWS{uLme)Vn$5AcC4(@rpBe{#(CE3?wpsgXF|@HpRDB~J;E#42F6Xua=v z3f=Zr@>O70^n=SIMPCpJ0l*CdoTWKVE2VQd2AUIcfmY$*=lraPh3_;MA-QqH!Q1!U zhW8*Li@D#M{#3!~!qMV%NH1`?vuVq*+OI`hYA8E$)J9vTx6qbX$oFbWT3F>ikV|T$ zKTA0J?(}C!wm$X~`!N%jQ(F_yD&qv%3iFXGP5`TZC$)C@%goWYke43wXmkW7zLj~( zx%KyxNC*GZ6hSV1Iu-oH9LhV`nK?i&nk%uRJX%vlE{2p}vLr?Qh%4LbAHBL`@w1jA z?eyD?6Y=_YbJql)^LNh{h?*@-6U3>tzYfgrU-re3D1ZD}j&sXxv+B=JftBZw~F zuRYxa0|CSO?u|+W5e=z)Z#M7iAY7VE>yJU;f7|3x-)qn6!o8MeRC%#Pk%e{A(>NSA zjKh*4=9DT>9xZ{|Aa7p+A#fs4$kSl#G_rEWW!a8SpL0y-i{V6RX&WBN9PQ`#|Iuk$ zyqnIQYUkorl`c?1tq+My$;4Q~8)whch|JC!B_)e{R|!ONFL9EzT+6riqv>Q_J}cju zty=)%+jkCw3t`{SBS2?+apR8IDpTkuO z$7th+LT%l;R)_iaH>nQ3-I_G@G;Xhj(W>~T4z*u8BB=#lwN)9IG9*a%-sA6}zHrm% zWOuuIZ?xbi%7u^}9j&Eu)|(&(a8NvGSfPdtACE53iiX&6+f{z^>S%0V74`%n9`S%m zz{+(pE$<#HF}-9H0s7A$w3VwfCoi`KC2ZGTJxN2#o7AT1Sgff$?6CXji51*<>t5?Q@&d!ZW8??S2r1FnjY?v6-E6HbjeffIvgxT5h^);9Iz%IS#0QU}p zY`Aj&0|t=CXBq-5<RN(#3N4 zO$!LxS-h82>Fv?*x~+L~&|@GuB6Ry$M}v=7RZcB*#tuMq@OaIoP_g$^!8L31Z0nGa z?YoIvuDfb^z`kvegDEJAUh0tjc}u%kl>x)!*sp}i^SdTqG;Z!iqm+Y5(Zb#_5S~*+ zfA;i%jz79`gg-daOg+G)L8pDs)%FX(#8InNUnFg68>jCE$IM6hIhU*{X}PyCg>ux- zSc)l*)O>zm=Yp-yY#+I3t^acpJ)zYLM`dF@Zm(%3+o``Z?a^IXe@8u`drOv&BF!oZ z=0OZ3O)fR*O7E-kFa9*F*oBbK$DYDaibiL}5wC1?ai+ zUP0hZ`t~BHO8Cn46!|Sr@voIvD5hV^i5W)`y)`U&KfG}{WwwC>)2eOF*f(y?s?29J zuw9A0x+iSpOq~=RA#~qKTfaD|Az0V;hTmT5TZDt0QoO zTO1^Mi=AnY4G3M2PaCv6$wK$^Lg#D&gT_?>G?L10U0l?!TD;KsBeLI{n`Zh79!WT|Xd0!R5}W+B z`a9VIVn?39$(RUE+*-b-Q#l=TmA+tRItq9}^%N$l&&*0}cjz|UP~u&fF(((Nt7LvS zL8a9WMC8&z=U#makSZc?!$ss;U#vE$lT-u2l_9DR6&z6>(=$jPsOBJ2qZD&+d!>^*+ z=x5hjqG~3~9&RcXO_rA6y$CHoO(T+Cm*iL?4g9IsU0me#ky5ai6P>w-AY;JzZRY%2sYh^5jAt$Ho3QDq zXpV!EKs#}wAn>p%25WH&-42xXDno*=-?mFJb?49spG{M~WAFJbVOu>y-AkePo2r`% zpLE_DHqQTRhZgB!|q!-aT%7Lj(R; zaC+AAor^Hd=^Bic3B(@4WF6;6?RYyGOOr@mF&zlJK^9GO3mXy8zHlsBHY<%&3`fQC zn7RXM-zx3^{x2-h%#)XG}iqPSNxOEPh9w@tJO#-ZDS(k~`-;wb;y*ckPl;@7|!A3_*Yyb`y9RJCv2PUm)- z>(ow;yeZUN%c}_&iu+TV<{5gjEKi*|4KxX_vWgW?yD1Cra?@S7M?7enzn?9So^9|3 zm8e3$crw*wF{(4?Y3#EZ_<5|^O%oS)#p9+rN@vZ9-v$_tigoiRR;MW*a@b-O`cQaj z%n77`9W;16Kiyh5sLb2R-2&p*Mk7`RofN8a&Q-J3NTs9s5d^12C-OJC7}xDTxylx; zX77;YBb6_g8xcgEo&(<6B~DIOjcJ>%Rm(Im_o4R^CpO)h)jqzyA3-#IrN7sH`86}A zh_R&@wYrOcijeg~T1h{j!s{cVP3 zf|or%+PMfGWLvPvjcs=Xwx-;SdpnMu+E(P;zTa7*#9~?P#+@y4Bf8tU%dBc37+tj4 zrcgo)7F&wsp!9QDrHm`XKdU}+19z2KRzfP8^k{R&1*oHc`>5Zr=+NBmAomv6SQV&_ z)_>Sf)Ikw#dvn}8Mo&Poij>BDv739?>mC^c^wE}ov%lQ#Yzke zNMJWJD%90es0WpM=C0D`imikOkb(*C<7l+&rBoMt2#(7##GYs&b1}W1tcfDKT@kR{ z7Br-{Z5}Q7Mm0l{e6t?SZzaZYQtKI&Z~5yWtZScRdqa4}$-cb!?$2+bk`|E$x^;F3Ws(K54ekk|6wu`F;nWVO`fq8vL&fx- zP&%}BCM2C#-HpZ{aTD#-^;l7?iMLFartU4DSVh=Tm;t)av?b-PJ)AD1B4>}V-#7oyKWjo5XYsjoinDg-N-oE zF{ImZ_0mP+ii3FiY41MG=)P*}=-rw@iHEX&z7#r~nVm%i8s?Y-huilwF84LRc3L)dCiXoMsI`GZQ zkJ^!MsJx5q0af!x%RE%0D5Gf8#u|J;m+-or4;6itNO&j6%+xoLO5AMt@#)ze4?lq9 z=L5-h5g=Z4f@{9zi_jtb5o+sSR`=_^i4WNP6{=qy;mU8^U3Rj(w+y?r0Y9$nrBdlB zLSD;u?tUmTG;49Q@7Zpeh;LR?2LRU)uYKaoG@Iwc=+HUvV+@bc2wpjMMpUbvqCGc? zQe@J{HA`ts+=}j*JpNLFb(+_?*{Xy~OAhn$HF7(JXDkn&ibHujV4 zTNP#t3N=20wQ=@_$#OKOp{TwH3GN!CK~yU#P%T0h+cgjT^vfI%-e&nM^L0umncRdd z?zHf7Jr$+O%!tXCaA%H7OHjXy#-!!4;#=CPzoqw3_np3q!8)L{5VD>{sE9^b8xQ|L z5GFCDL)(VvOEi~UEJ9M+WE(8RAdw;?4$2;PW{gF{(h^f_rEJC|)g&IZVfXw?*5d`C z*FCneq-#*(d-NJ^z3#JY@~4^E2JZ2NjuOBS$*T`;^rJ_Xu<-^-CsM~@Q@y>ri1P*- ziY5s)Kf@`1oJ?!$JC^HMK)evpWWlnxmmDBu1S4;K0UaQGiPDW zurvusug}>eAoJxdC*ehS?G`{o2oX7p4AX}f+liRKMzP|F2VLm9R~P2ZU;A^tE4AYa zjW6IU%(9GP$|5x>V?lz7d|v#e#@hu}MSOAB8sRVCh30%*nk3020L&pOpJM`9|$oBJT;eWaE>tlxYa0LOpk81(7b7u}a%| zd_nC3TG#)yrn*jYC`vyTG>?5XI&(K)KB3I|@&p27aaaDzi2k8W(_9JZBL$J+t$SDe z<1LCq={@LH2g*-IE@U1sY%GivZJkRJgP^!n(uRNNa>>{5MY=OTahOKxw@aiiGHp~I zBH{u9Wp=w^Vy0}{S@T=EjavzEI5`=ltJ2)WtGALPX(b;sD4bhX`IFyD<^TaV!J0;w z{F(S|d4DrUg;btvX}+1>eQtFi_=-Kuatey!LU?1Y;qT+XnoWcY&=>31znXK`ob2&X zJ5(vr3qkWU2Dvh7(%i|o^}1mSg$N>T$Ok`~keO}3O}rXV?RZ{?u=KHiID-F^<%2t^ zOiBE?P7Mu&$?l3{+X5zJ5ztA+(M+Z>CQxs(10E~I4gOfZd}lCr-uQs?%hhP1OByh(WnBTPwPNc{LngMC z%4l)FWes$ja0z~N?wu8v0dJGuUB}TPEh|DqL*^a(H5$v@f&$5y?amno)GI|vt?u^z z>Rdl0R5<@7D$Vu4l5QlbE!(artunK4J=Tw{PYoE zJG%oXN4dcAw3RIGQ+}MSy>Yfn?;8e-N;b5sEGDrzuE<7dNsk@{dLWYM=c8&Fg z$CHCcA%;Fx+5@40?gC`?AKT_`ii6Pri3?yrICSjjuq+Nl9LS^ZCEQMMgmbhys@L>mS}zXWAtLr ztd8LDZv)Yc7L=QU1xmQ>6RXlA91ZH150#fR#)`LD^`<#;hZEc<{|LCCr@Sk7T4}7a zJFXeZ3xs_Kb)lpfI0?x=Hj&Dq4CjvC7vVzZ{=d zka}vS*(u$3`0 zSv`&=J!d4E9N1S?mg^%WU^l>FX#nZ5c@@K{F3XXaLxEOgj{qgS1^QMt-HPaw=-DRZ z1Ta7@gv!}cZ2oE^tl8!dD_FBTxhweKltuV74r3!{Awe=<5G6$Q**E@ZB9D}mWSz$y zq;EA+(?~dzUx|(sUq3dJ{sI)Tq`p#V2}eP}I){EG8vwk5WZx$?8?5VyDr5M9f**2> za*(y*nn%A`$J4Bz@iNVQ82nUd3>Sj{e#`|rRZT%B+CB}T*v*Jkn|-i%hZS{eF)&=X zej<)XxWr=u0HCcEUMIGtzDi<}Hh`E|0QdZS`yHG|Fxj+xt*Mal>BIMgMZ(4BI z3ljHwS3@Ot9t(WU=Qeb#)Xr#pr%bt;C%MZRJ(Ox;0reS$vMw+m7O6 zFNAq0KWgX@D1K?Gz&=P9(b31$Cd|sLn?w~XtSb$DfG)@fSk5y`HI179sU8rsP++ci z(pI>=bEUWL$eJQ?!9wPi-L#vS!br`UuX^2#dRioeA^o*pl4|C-x;3pM*~ivfMXmKU zOwe8lmKkw%GY05s3SZ}iijUlV+tRt8@~p*jd8Z2{8Lvh1S$+n=@Qh>At;~C0?lc}< zBgq|*JS=oc|I7Kv2jAN%8WA0AIgQ*&ru=P8x(mg2e?H9-Usohk3=?SlgJ7Gl&3MAOog{PYnOkDrZ^)LE^xyvY7;pE_}E{W?^4bO+yS=j?~hE9uI%A(S4`qRK#EzCKxuof zU7W)^Fv;Y8*w5VLo3ymV+3EcC)DOSRepm1H;@4@lGCIkE>3$HynWl;}0<>Oe&Yt4X zk0F!;;g&szeXZZ_)*;B?J``920G*!XZ8DYEvd`&x)=ETPI%XNxH}zNJzny2_#ZD-R z371eSIqc@7{fJLekr>F|l#QwoWZP|4J4={l;hk-a+V0Hw2*Pc|?y9{vy5m(yo((QW zhx&GEf3f+lZSl4L!=vpz4!!61)&C(hA2!wmROS-5uyrEM_54|gz z+!Ex&*!K`(DM47xXEyl3QJaVMOQ$W{f~`T$wBbEajrqFX=D|$e$sRaDxA6gCLt=fq z`Rk?0Ioy=ko{Xf)DAYZB-%ZZX5=^UW_P&02#y&-zq72jZo+2x^%kIH;a?iTpt%4sd z;_Djsv@IW)@r6HDiYO6WI@^s{3^Mb>uGdf%@`p;1M&M&<~5^M7cC6P~Jo@{H5{NELy+oWEd8qStZ|a6AIzz z#M>g6(6o-%N4+NBYMsg7_$aMKl_*E`RGHqlTO$ofaM!0JEG{VxOKy+!X4+9liKO!H z=E}XwR#p}@I~Uh(`Zb)q?JDO*;`8AFqz4~Q_2~YW zYOB*Nec!RDtRoIXH4Px12jLgeI*)E}m!p+D<@RoT z?%NKaUInHDKl9>ArqI(jl-ThQq5*-DE`rVFhSk)s)T>d8rc3Hp*df94jFGLUK#@kX zWVEC~&TGj!W?;oX*df8w@O~OMb)kFE+rLvN#D_5&ZCdYlqc~=yj?LO|i!Cv)0`J(SdqD9E?g?tzqan%RRy+;e;0F+h^h_HajF1pLyfuHMl405w!LS3ex9)BBMK@4PfG zJF&u*x)Cp=kWRaV6#ggmdOQM_%>@&s=Q`W5ScGow>CTFXYMTFQ@?_T<(N%YGse^ev%;8gN6GB2)WBn9#p9UrDu^_z3-+@w9K1Wi6_CjgZ5iRvq) zFf?+MV!&oC(SZ+1KRB_;PyhM4cBhc`5VAJ)M_mQz&(AU%Dm@xqixBGJXKiA@X9~=v zC1$-kLdCi?oW|Bt+TssR+T#MI19-gz7N4&0Y+9B$Lo*dU?>5G=-ld?>=ZtyBG?1p0 zKDg%-66gN2)*=mCmT3E+*DfU5@?<%0GG(tW+8A9{Ram1eGSb{O4?^u_Xt8Mhdn-QE zbFYeNzCd=KbhA2QE_L0=gu3JC54-JW+C^7|z=b$-eh}qWj<|h1rnYo%=`p#r_Zxjy zI8pYaMp>Ji2)E4)4PP?#b4$+?&Q+G~NXgRN*;4*irLRnun59D6v+{0w{;4Cn0H6b-_2dQc_F1FOIo zpO3CP$-A8m%Czl)pFOFqEiOlGiRlb*n9XFj6W|2NOdz~bF6A7N&Ts{X;L%=x>Pp7s zb|3(sCbb7-5}{VfPp|Z~Ov(I#!InU4(8lvOgC6`mR6lG62kzaVel7h%K4Sr(Rb5U% zo0GJ$DZuF={1X^P33DwK9o2}z>e;b80gN}b|NX-8JoWFu-9XO!lU<0V3e4AaVDUO^ zeLP&c44uPZ*&4xJM$@iLZ>i{CqJqw;1$L+)NJ7!f%Kx~pZU&s3M*u(2U{J0Q=?^YG zK~ZU~-Jnm)6J{aO@{67|bwDGY)A4zvJkPzo`C0?@=}b}fDA?3aC%d=Rt#%O@&`X4f zgeOOvl?}N~E@`HO_^iqpNJhRie8j5Rl ztMQaHcJ2)jI3wcMw4FQPp6c-6fUP59;lle{0NF8?i{`sbL`v_#9Zt=a)7za{z9KlX z(XB#ze|kY_?v)!HvMSp1mhv@SilEG@DFKG7I7NXeW)4J^y!z2lk57sE)}>_ueo7botU;Pt@}QLu%!?63t9=cvIERFl>*kebg$d$2x}`Y2&9dH`(B=1W zp2rGY$(@i5r())P%zX6UnkNIK&JZM7G7fAz6hf1x&M^jwx`!IE1poNV9CP#%dji7P z<%M(Cl={;{r??f#w_u5Mu!@15bpNhtb>{)EW&y@3+wM53IL9WFk5JQ!6PKUd+33{t;5$D zi__0={{98}Twu1UjN;U<|K?3$ClW zr2dcHvQnF9E`dW|+z3p-%~8>{K4(ON4?JI*z=67^@dz>~`OyE@7w!-&lR+B@O;b+{ z;%l4Om6Nieim83ai$W%Y9ACnH8(P@3SLb@2vOTgxq{az+7H^M-Ff$P(T>&>EPAX3M z5cuVk*S^`Dz?Vqpf>ziEu@yGLK8sLTIi(#Y!day{ZbfL8%yD?|f3q;fVu->s9QxN|BxS~T~Wx3<;AN-F` zL?${=1cvoQnKst$_v3vs2h(iCLdv>6eU6fRsz~Te-@I@d()B=E~4wwtlr8;1PD1?H3 zl}n{T!{_C~a-_+35YiYWge24%_l}=2aJ~GaPnQAI;PluP`$}uaZBEn<$qwUaOH7M$ zopgO2EBMeGZYAb&nBhWEr5XSv$q|fJO5SnD$4F6NKzCOdyH;ZKT+*0V}(|ZiKd&rK+gCca`+D=;1dmsjI~a>w^O~BG+1&-&Q`PG){Y9Zn8&B zyvnTFkctlQsYig~!T#WWS0JqFg8*C~)1se#9iuj#pmQsi!9?*5+*NR2yPhrLo&HOSY5BfVIBpSHOo+XBp6&IWUbsf__&1Ya{xrSj0+DK;TA0-n&=Lnt$2B?Y!vf1-_C+HZMw1FB0bh4&0= z?CgaWJr1Fzvnu89p=;hy zT~W!Y9%gP&Y89XPBGSZrQr0^1fx!Ll-4lGkZ7PEF3@!o#{ml-StfN%CB%Ai( zM-aV`A^?%|)}E(#BvjHbT?53;(YGBY;Tq`|!x5$ipx#F0vi}GI=PuPmSZf3% z@pn$xP^K!!Mu%cSN=ODetH_)dA2 zx);ymVo7QsDj5xzDq5Q>h1sAq-fUdXp=l{mE}D0Uy`J^QZnCJa=~2nh{%bdNPTWo9 zvMQRl#{z-qpF8txQ>M`!9z|&mA_CEac!~P#-ap2Hv%)S;S%gztA3YvH;=rn^%6=my z+)ApADh5kB1tKg(dnG_oQ@|RVcnhi>PMn{cPpEPW9hb*zx_3-7>uS_P-ljy;8>d?+ zlVLN9FrOp{tc7yo0Hjn6s-62n8@8fp1{1R+kyC^Db!vJ|QMZq`%k>T4uLuX5P=nZn z@bAtL`-ol$WL}#?7F`&InQAB-rn}8N?{KB1<&Om~6uRn95SB6a$6}{7qCcOG4bLbe zx21wJtX_$Ti7~VmL= zfJN6;oG;=wzHHN%ktFrY$`_uDp<|BDyZQWcl=0GId(UIS6c14FJzdV=qCdwOCyF$k z5nmy|eeN}u@W1A3wAo0`@~{QI*K_2s?jNgpqteeC!=^fZd*qiD9W@M3(tR$ru5Gta z$ahMAe`93#$hlJ!hmQ)z7cCzy2JUsmJ!We`vJPyv;56S>_|&ks4`k956+!_)En2oY zgEXyj7I1T&Gp&60{zAh_q{fpj!nm!E20>D%Qr%0+WaJxEL?IhL2zE~opY`5L=y47f zazUlh{5sY&g)%2Y32^;?t)iK$yO+BDnl@w2mnh?n77dC0L#$za8gX1M2G(u4VtN@g z7>0M9Qpo3EfO6KxlK#Yan7_v8vyEZn`_~vvVT?`OTjz3|#~Ge~4$txVYnY#<^#;(7 zjZ*JQfzHd|OnY2YEuw8z;4T5pqXPgGp}hBCWf_p$3XzyWp}i1|EJB$d&K^J(fzo%X zcq0!iFb}weX=@NR5QTc8Hheh^HoK^tk_)Rx~S>#!8Pss-{+%@*IG10{yz5e_?~c9(o8u` zMI#IA^hM2?SWOY)3Ou~Tq%$>E)a}_#aEV{Y;!fZe0OeT#Bm*Ub?$7V9B@s^K0YKVl zgqdIVgnZ*5uzl!+#pWDG?g_yi;`{Ezx^Ng21&}zxy%8P%U*w>#ZY^we`6y1*PJu!ym>%y6fnSX9&WO`_W&yd}XR0@{N>j12zi2Zw|br_N9NUr>iRCzs}nGYJ<6iN7|+#(coLjnQ~k1Uy|(Z zt>Czj-9OP*Bzfn@4wFpUGv`0K0M?zyf40&%n{eanyAQoy4UN9FLNX<5>f6Sx(^>6r z`!BOlwp$5XxvQ{DgZZCZ8MEx@7h^9q!q_K60Mf4+tq;!>`E5R*Eco7^gh+3W!d;|k zj|ED)?5*MHM4toXG&kH%i+MZ=BZ-HSod)=Eq?j`aw?<~PNrFL;z;~oSgF?i*=k%pu zUcnpk!&T;DrQA+oT)cq>?n5~ZwYmE*=w|FRlXIfYu-bUzb?JIvW!>7T7uBcmD;JB} zz9_+kl)gjIfB9i9evfCAHyqc`-k$W6BrQ zW^$Gw&OrARrNS@B=U@6*l2Oj9uy2}-hib|@><;~9Mn#M0txE22&D#&vT13tvR)mj> zY6{l1L^*?Ue+Ty)fLR(E3K-(@<(e->74DySjQf{jtbz1jlhjifs=qXTWGktXSATl{ zhVJZOE%W&0YCB$K9MvpChw%XC&LUFZL8xejFDQ6g9& zP|$J*ILUNC88p)i!lE!;KxgLXhR0gHnpL5?idNWnngloQNsmd9-@8^;jaB$(=ps)$qdq2AxT5)%2ulfu}Bg<%R06^V`=ON}HAsvD%C6+iv}u8A{TFW+pT3)o&@H zeYX$}A*5lq2s+Tzd1_{2mCc=jG~Bue72yGje|4hJ+4RcyNKUygxQ3l1!9Z|#u03wy zi@vegO`)aqN}pyfcDU2gnCz!q`^E-pA?`fj4g7h3mZ3$MN)x5hw(NMdeVO*}y2Y$3 z=O960e0XML-=uE9p{ue_uJ)=2=L7S3-@E2rir~H+DE8M@EU(6Ytbcf>piIB>k?^ko zq}T`-78=OUhnpF@O#pg7l9eFCkT+xxk*p>*-UhUV2VVppOfagxYv?|x-L!j{T_uJ3 zlunKP4(XWWP6yOBAxEjnm6LR^t`b8PFEqg@5D&(l$L z)1u1U{kX?Y4Cw?M4U)RNF;_K5YAXykzqgId(m*EijQw@^FP?!r{#xqMoukqIV`S7o zlsF39lcTv3>T=B)wt{4>k>0@Tt^)=>XK}RBK7PO>;%f`_*XGE>#NT8xjNOL_I`?1o zoaElf;fkW0$$z}+26`z)U`*T8v19=`5xuQ<`C*=Yi7V{=Z+h)TqmckKN~A(wc~sk4 zdCeDzVsdfQ>8VoB7pn?>U4fQPH9a)t#_NMaN&9Q%z#T@Wv#ab!uBbo*+wVOw^oo|n zZvqve;+zW>O26@?jo+t^3WIfq%g6$-ra2$1mK*gtqT^IhFOat!v8B5orptOAF(BYA zYIDg4t6Y77M71V)_SerrBEEtW@9k=+R=@ktF`W<{)()Q(q}Ta~su#KJB78kWo?#69hlCzb2&^Bmyiua~gn^!}6mo z6~Y+=vfrGCN`QSO$5n;#LtFq7SiNOGXh9Vo@Q1gf%e@$%OH5$2r1xf)GVqcmlIA2M zzqP)@gahwYo#v9v3nIMz=s&8KrTh_r(fTh#d!s*3%ah{Pejv-f#O-PRE1PI@5Ffhh zo{d^!j0ZrUqVPC?yw-tl&bn|A3f+cb?42~t#)xx*2xs9Cdx4tEjq^xp@ZBy%bl)?l zNb&Lr_78&!SL72Jid*0>BDsbmBg7}q>EiD%k4uR1C&WG3yZT~%HT1sw_|JYlvTq9e z6Tc9LhYgp0@kiXvMd+@me)iY5!kQ&YxT%TX=6@gx6gm3@ELj0GZD8y+0E3gzqs$J~ z_#_Ansuf={vn*7>pJRvLJvB#O4?rS?Co2HSjqbS=C?)i3rIKIX6~nQ7$ojQ|X0Ilv zge(49VD+&;7bHm#8W1%{`gpGP=du`&jPfeu2joia3OeQ~5*6@g+C!{%X5ic(vtMJ( zPj;%tor8|xG(~j%-V`c$0z^gZKn$z(^j$_Z1jH7b_3UL35$4!lW^hv|X_U%f^MezE zK-XzptCCg+25k}gI=$PyVJPQPUGV`7`|WX=goQ}ZAR@}>>umQ zs)Mt4Av7b!W9Vg&>4m-MX%L+BNqT=O6N%_>4)l0%)9?@aFhsC2y z372>M``3B-Q$`ZV6bC#A=-hh`4qg11`%n8Df&MFppAG1mR<0wP;=g)Kn-IxCv$VB# zI{Zsy)SxAt1Z{t@$}ugV46BStr5CU+0N3lqB`1W07kEv!fxXZVcoFWEpSDa?7dRhA zE+}|Ker4ue)>Tq>Xs}A)xkF1jcN)Lp@V>S4b(QklBQVhsaS+u|x0kDd z^=H8o=-UNK25m_6B^rQaisp1XNh3r==idiCNpj|=cmg=hBCfJJ4PPK)IBrcWzxPHR z%|7n8y*vp0TlpgIt_QUxvkKAce6G7=|sf$S%=eW@;(lz%CZbWBh}YA$gxKh}sWvQ)P;#lKgS1d)-+e zD+i`U*hqfNJuyaC<(CcfT<+GDa34$IVj|-pgc6zG*h^#|y>tJ$gpsLrYYkd38htao z?|y~V_s$(@4O*{`{llo~N|vm}OSnTnnW*b^bYr6xUuxe#E9$nC^9y>)#X-@~p{jpq5!&2r5BBb7a zOa51(&dPxx)061~k_+^*6%4jI3;)!=ao(JT?AY&XB+F7zBe`6`?EYUA_2i-YC3KgW z_V>lF(LgBu+_sTh{B7~;Kwtz?)FY5P|NG(>G)a;KFZYEFK=aA(UY7=n_g%zcHoyHK znGF$A)O$=>aParz5~P5l9{I^Ph)Mm=rK-N;NKsFgOM~b)AA~1aoQ0wu3r8jrmHy{( zWt>5ZdZ9Ym$A9xdcv9OnSXp_sD*)2_&Fe~CMv8jJORk;y%?II0(J`>H5gGS^>*POA zz=6Qqj8N1&V-O?yn-9X17+GLtX{5>juimh3z0^@QWNnd%CRWO)@jO+ANs%NYW2aVb)qT!*&K(PKp9LoMUI|zrwdft}N)$p3%Spy;-1hwH21P|A zP_`UIOBil_sY{JVbx_qnl0&IG_40+UC7(s;*+-RM(gSU32OVy3I*(qBOs;(bJX5pZFOw z(3exTZ_V)27e^UZY9ZuCNp8W=wo8Mw?P84t=(}VJHZJb}e?{)#>!34E4$8t%kGph& ztSJh`&Zj)xdPJbPrY9>6*KxGQqox5aKp8Y@QHQ_;7fn6KYUyIkJB*w1`j}OhIp&-d zFdyG5+Pq|bS#`oyj#C$xc4GPtxd&_KtgNoX@}SM5C|v7Tch275+s zT@=S~W2j$+^*z*gpLqS%MWZ^0+fyiJCvNs!zc`gsS!O)S&2W!dH@<=K9O+f!3Q@e_ z-5a>g`zsm7va!9n6l3nm?@-b7=Nj==Cb>A{mRxGkRAmpMaHrNcIXrtQXYU9Wi~%13 zt-;S4((#9rOB&crv4e^=+1xQ)VK=GP(@sbeZD^)sM7rOg)FM zw7S3lbg{$S&AhUAF3gC7^gAQbmI~+oeR2T)?+} zJq3DJ1P~@RG(+%v%kv&F{`H4Bem5u>brOP!Th)s@@jD}VfWU>lPkfW2!WqxRf7cz5 zu}%dLrsV^M*|TH;^a~4em6LPXRMUz-btmUR&G}L#@C_G0K5HnU%-++T^6r&?%(6i| zP)?k3ycl-uZzBp+0nozZynAWF_GpB3968NMX?nU_>e=;|`0LOBu0IZZx{A1n=SZ&D z5g0iZADKT?cS&ohL1S1|{|ODTVMpAC0^x$Ae;?s!+yO!v(&a5^jLwHc9@;8RI)!3x z`OeYW2tBRUGgOj56ZNnbC}-n+YJhtfQz+rP)f~jtW87KPc7XIBw%-w9y-L2oKlt~% zW*;gt|BT7fwg(7XuZgcTpLocM2~WO!r&JU;)=;f4!59<(#P?iE!MjR(U12Csu0sII znMi)o>=nT}^eyTcgTMiTPME#BcW2hX#E#A5AK*zFb7XYSoD2TVDH)A`(S;t{0{^cN zc#y9kLB{c%-0)f;rb6PxrWf?$UipwV=Q~d({}dX&7}gWgiV^-;s;Nf;<^xa{ zJ|o9@xfZR7Lmw_ zFINe>L*V_F>mhZS;)x-8^l9tErStxKJ8CzO90|xe7TkRHk+2ff>d>`BcHmJ*Z=xO z_)DJ-L2b3Rqf34SHR06=YVw}5Mz%Q#b(jyp(XNi%h@9!tL4-(d1aiQ-kOb9$tMX_T z(&=+fan2yEfCLdQ`1=93xd1yeAuNh-ti-o~^zW}RnutuMfvy$d1jJW%AT?worRb=T zr;=)*$oPYlnm@zM@p6m@!Xrd27jZYnm4`336PW7%zF1P1fn8khQiH?XM()kO{{?=Q znwZYv4R@=we(T!=kninP%=Fs)Qc`=TcPJQWlz3=}r-jIjJGm%(TwGq@5#@tCc{fEC ziw!WC>j2cnAT%_nd?vO`@VQ{o<3Z^SdGdA_9$+C3;l}u|8WWhi`r|++`3Wp;zu5jwYw-tel@5z{wCBOEurn_ z>Qf8cLI&-oZ&Kd7;xN^y#ptzzE|as%v9pU1@}U;0=2O;ANEkQz?fQh38Qw269w;mi#&>O9S#mk^p+wq=D0*Afx>E-PcfLHeJ$C+^d&&9oTkQ29Tm z<3=-^uPDv%I}INOXc~>spOnmY$YLmBIHR z$4Q){dwB?DrIFm=<4kntK&ytyq~mA9hJu@eJDj@0GP55`a>x95_+}mcKla``D5|V$ zA9WOmq<|txq9ULYRX~tv7*UduoFz#H$yroHkf3BFnE(a4o1BA!fPe(a8OgB;P0n{6 z9JTSCcYfckx^?ST-S3~7F6=&MpMCaTd#z_Z>sdMXBw5UrlUgNdw@7L;MF|xy5#TRF zWck0PuoQEH^%eKo0pG$Px@_RPzud2TQqd*%X6j`_+u591YanBVdO6^)He^X&r~jjM z;A|_-IB9?C4yv?=C~?ZCyD{?RsAps5TW1YVpGaDts-AX_krzKk+3lbI8dxujAtPtMzA4ba z#aN>_Zx-uy&!Nw(i~v5n{i5|i*W#9O`5A4eT05=shj!u%k54m2De;~&90Q*Z$`xPg zi?+>fHt+x15qB(B4!VTY@^O1k7`l`{Gz!MLRh~L9a9#wH{0b0+z>`-*9ltW=s%oxR z43ukK2KO+e#!htR!ydDbR65he(6vB|mC5Q&;OFOFVMl30Ki!Ssr=WhNj(Zrg{r}e$ zm030#Jal}^_r&+1X4h1zxOwF?&b;^XDww=-nCR(sp4{GkX420xD@TK6l*`t3f2C?2 zk`}+++=!0nZ%D}FzwDiQR7LZ-7J;sL!;_=Mndr`{Pwm6Ju1f2=9u>do{uIB+aEu1CmLvHn?7uwV1F$kp!9ylSl;p7x>!nnQiMi3aPN>=QBeYR}x= z2>Ms4nFka&Z-|-~Oj~hdRE3X4!R}^5z!upeUqa5xPt%6P+*M~l!LceUZ3U#}5=ueS zSSpmW{GrP6W+pGtc03={!auOoI^yt*?Xn!V+V!nvQu>HjM|l0yk#1IR4{?jL0JSZc znB(^q{Vn+Z#B8LAqdezR$e-Yub&!$Y_egU#k479gW`WmNd?4#F7H85~+4TOF%tz43 zQXlKeEC|$=$3I#S*Y?AS?|URlky>ZR-R>)axi0Lt<#hqflt;~J3Ms~UQ3+08Rj8IK zbhVN;Qm^JD9{#O5Xcs}$!R?(}XQY2%XDIFfJGY)wbE!n18;1bo1dyJ23e1p72v?wEm}B9TJ01_7)KYqTor)%e{6)LNSbPfsmkQ&sLBtF!$g4A;$*pqk zY&6KeQ^vgnwc~d-Owl=^G?hc3)q_7{yLOus=P(uLhK^)qUBUMbcM-UNKR^03St_^F zG+plM>LX&xCM3xKxG)s1zDM+-*ruU5QuaSx8F)8634S-5H~VLW0g*oW{T@mxcU*SN zyvI?%Ym`$Ib0HtltYR3guqwmZgQz>(0RVfm9y~l0I2O4Lwl=uoNQ=aQ00~W3=sfi* z>Yaot~w(Br52E~i(2pts;y96h2o0<^Ll7RE#hKfXnZIDPhB+cC!<5Lk@qrQpTE)74yW(4Y}vI~-w{2uP*^H=qP!U=aGWPH!PD zFSzEs zpSXJco5&dtUrF}Ie3jQf?D9N%@rdd-?+%_DH`b_G`qi-MM-P!2J0y+YR1a6+7EMvS z!Kvz*s6ayU1RC?06433bVmW@~$Pw8;4jv4AHkivhtvMyuE4CElJe@l?ogCs~*k%a* z6|t^f8`$ZnGmamHZJ%lt&XC$RUXi@N>yO<8L=-IFKdk=sf$Gsl!_EF|apWGS+SM@;b+)_;uLl}-CW3g(4O%CE)uAKxKR zrKIib82kItx+%j8zD4DEVlE}7Z_Gmm|%n=l|f zK{G3$ShTO&1YJ;zRj%ti)$V@h%j`mI3mW_GR*R@}oCQaXlK{G4O}fR-SWsiqzFFM) zMGbG3%so0#vb|DtmaQ?vIbU@p+O0<4)pbc)z1yuOGymG>Sjp_YX+<1*e(6eD>6LY! znk!MV@ zpbd`8jbqdIRrVGP8_TeDo}MncnLpnWQ0}ILO;2c#3W~*?Vus#({LVv#EbZCIf0Kqk z_of(%-8#3M@n9P$+;pnmbeS`=r>nWmQdBua*ZShzc|C5yglcTO;+wSqOc^oRwOy+3z>`USjQ8g`1vjc4zMz_!_<;B-e#J2aQ>C3bg zI9j9i`GZul2c)h26;EaLHyB~e%c&+h&}_reirEI$vWu_UFr6x1$yRnEX#NpB_0p#7 z0baX~+_w>D)eKH+x~?fy!k>GmGL%|!I%Z$UEQT1Ysb|i0%oauao~=QviekH3u{jM4 zfmRE~z2;Ktm3i6e8$)t0TL~I^C|~%USrKmcuX|%~XQDYLPmD=6ee#leszrv0QN@yv z9yXfw*^7<|AxYC)%>o?o=Z{^1`A3c$U?mH=;mq zqO4hy{;c^v$Vi!*&o<>Na@PoJ)?D9gU70N%hb9YCPU@%P2ScchZ0`!T*==U(+k6q} z0TBE#j@;K_?;z01BT;VVBM9DpWK+Pv${Ul5w7$-1Z>V$HIA;(uEDFJ(Pg0_wX&VI+ zRD|}Qi0P76hf*d~4ha@yS4&@}IuNufL4$fpg!r{>p`a z_4&fU6)8A2bn)LD2y(>dJI_k|{NFqXO>jl#0)xr_&4Cc7;5*+&=y&YWzj+Xj;EH^a zxheiHrxZ+*wkh+c6T5Voyz-zcH_PsjJC@A2n(@PHrI`;6mzG{29P4Y`2y?@?a{rm6lAV6yZ&V<@X5k*{@?5T*Gc^U`TUfV6-xT=iacvUb`6Sa zm9tD$5C!#8KrBmu<$M^pt=EOT1q>_kHq<_r`ti4?$zNF{6z{SNv7OWO}9n$wdB6c19Ix%`Pk{Oe6Y zLPneG%fM$c<$$5$U|GMKvHJ5|+7|#emb$|Uj`_Yf%o}%) z%ai%jondDH=|3H)Z_@!W&_0+$5~S~9A4w^6Gh}gDE@dVIKSQStQiW>AGZ$`gT#Hc` z2omx(I)cB4Jyv%E@6hipp7nldk4$R4AaHYy97bPxkq9HbcU^|h#Ga6)piXyziX=v) zym}@zz?JLM#{t~{G3uiEI9|_duH(1Lj_u#-LRu^#6_k%_^S?bHErGrTT0(|Ug+^)^ z<2d|eZXm?_R8fB#@O$}yT;FdnUWd5C3*mcyPA+_)y$x@h!k3UR(>{sj#{_-gBMN6R zO$$-NXfmRqq_d$NdVN)JvJ*Zf1eW{<3Xajusp(C0$^>Z3k{Cu=T}GV#r&kZJ(#7iL z04Kpfe581DqF6fUp>Bo${@9I4!z9g*v>b$x{Js6zzWtulU62k2$%*uSkQhflp_n}PyYGF;ls%LC44^;D69rv{1*%uNr`?p!nLkLmq_g90 zRIt*h7zBU17eo}JxBjSOF@4>Kl*y-n=1fBbG~h<=V+zi)P7*4M1d??3j$Cya)(V|# zz$ImFc|&JgM04OoWhFD=;I)$=bTzY9RqwI>M{4T*FVi%tK@atiPd0V8 zQ9|^ED3;{RWaZSO1yIZGc??SOY-u6%7J^uz6k32Z9>~5BEo^Nd1nipe$K*Ud1MH3no+V(6Cl_W_GOIpvqGw2h)Zys6p=(n7J^}Q zoaIu@cxST?wY>YG%8%DfN$o^&;V8np4&T)Ukz3~5BRxzDU{3ad!ke`a6ce1e<{xUf zxVcnZ-0xF{)2&=s?)v1u?B#xC%G^j~rQoxJzG2kzo)H^*&;+fR>sY3i9+c(GRe;CVcWq- zD08vbwHN#+a`WF~A)+Z7b{d+?K0(Bxe-N?JUz%sK^oT>sAAY}THdF4B0j97;|{ zK75ABH0}ue5s8(p=*az>7#{D4wbwW96#EgT*O+D=<-b1?N=`HosnQbX@*1t7#b0f~ zod;zKkD$l_ZSF8c`G{W7^!VEVW_F1143CS8%z|*fYYvndmFC%EHdhBhd2b(BM}y^- z?4srwUdCAX-VD@zwEA(fD;GN1_W6{{dPmA0Dt0M5FOT7l_UBAGk1209UQeT~sG%jX(9cfg`Wu;!pejL|tpr52o1riJ}Ev}mWQW;;lMU*u!@(xRk#wb{Ea z+Mu64KIe``XQoX_s**$iU_tU3SI=y`R~nE`lHusbHj5uaXK3DVb>~=>UI>ir?DTd> z_kZ{z>HM7Gg0VVaz}ZGC5$r_O0;kboS{tpC1Ugo)xpkjM1eRSbz$Fn5p#DlPxL?gd zqpPyfTCnj!tp^v{V227> zjw*qiAFnB#R(;C@0py_jq1mjKU1oS3QAF*#zlZF&{u0R8NQiP}QyJ3__~8ZLBQufj!7yBH1| zvc_1I)5Xn=qds}pK!t)x6y*Glh$rxo`2(eAF$MTG%_5mL>x|P5Qhh3q;}``LktWX9 zH)-+&0u96uO&4mo>Fc{p-N`p!c_I8xg57r`aosWWYc`|Oi}j*@Z5&xGioJV;Y&tLuAWw9IycU|x9xJJp<;Pm z>+(u{4V#<)vEqdCX;!1U1aqlmBiG~YMUL553-jKVHG8+Jr%f%~u`MXve%IJh9oXd2 zOyu#+?>nKhdQKoTWVGWf-mvI!^qV}(WO|8H%nT=@olx=6=sBB~HFnwjg`yp5qjFYT zq=&R)rLe>y#TtI+*5o}MZ=~Pa5$nQxx55M+?J6>z3aZbjo|_xWX|8kTLE~{Py`A6h z{-!FXgh0nG>1Gv9YnUHby@boC)G7!*ZE+7YP|V*im(`?JFm>w5FI)ow>u!=d4j0fH zBJ~Eo%GXtnkhmv7PyM(!6_f8CbL`Hrx_?XjJZ*7Qxgn#Sv-c@B4x%~VB;4avR+C7@ zmf#b&F3VEH$1z5jY>3sAQ)yjvl&4Tky0wmLK(lS`7MlLU6j!b2QukgFW7m9wySGgq z>r~S`A#p06|KYNeNvjDuB&R>@Q!?cvBU>4hr~R9DZmCbSa06i(1))MJ&wbCzQ`q6i zk2j15u5$%oax;h@Wr#K`W;b~C^NLi#NYaa0c>h!TSyPsw{%fj~rMncsXe!b*r=YkM4q|`pYarD5ony=7e zH2sH+f-vb$BP}B4qRQ7sGY2Z`-iS(YXmQ5PW&)B#A28Z{rbCR$R1j@E@Ufs+=~!=X zq+e!-WBJ4GEk;>DmYO?6CyE9g_!dJ7*6c)zm1xP)l^soHGOd6%ah~UpaQ7qhvKDOv z_^QZ$NSMiVdmwJ~CE>NQ`BDrOsWm${D=rBRymp(I5yh zd9!Mh+uW#=8_I5C|w&`elXQGhTp71NWQH^Eg^l5QkbvI>5XdI3ND5G0`` ze+(^B%E{PGexX2&2LTu&n1`P$TdidyrQ_y2Ns6e%oV^X8+O4(}l}t>{t$I6eNTGnc zGO}krJ~<(@p-kppH3y#z;Z4OVi#3(a);A|AvH01t50XUN_Y$JeP+|M!qo^Z33L}er zN#T?&hBMj`D1V_Xjf&K~n(F8H0lwq|4nl)n66cU(MX^CN)awm%S>%nyQ^YFKV$LC4 zkJ2-BqCsO_Y%-z24M6M9&M@EM8b0KLrV|flzp*S?+Oqx#PiUzDHImDk2mY6gA=Hwh z;ubPOmg|@M??E3cY9;HHmCoMHtl&DR{8Ln|OG^W#dC!H3*08`Hm`UWjUQABMgC*=O zfhu-Q##myF*TcyC$z1Q~%c z^Tn}c=bpKk2B##>*_M~kzxnQoNC@T%Gh+1F#7V7MHSD?B3MbR5FQ5!b%-hr0)Zx51 zvgun5m@ZuvVMUzpws$Ytxpzv9kE3a=b&=)J_a}XPeLLbK$}c=g`6CS57Y-30JG~7s zK8P$_C)8vN-N$dmZU=Zq`8l|?-Ys!NhAGaFpgf7tWW#d^X>~B;ea+?dJSO~FN1Ye5 zn~-S_kR5Zr5|=pigQWQFbM6qN>hzU(DsT|DCaX~15v#^1uh)BtAG+*!Sm9jn&Q-1f z^V3W%$iy%ogLeCQ$UWrZvwOzbI+f=N${YKhQgf5QiaXgAZw*1Sr{N0Yz0XI0S4-T7 zcr%Cq1>(6J39by{@PZD(2?ol=&^h3O3y*dSvKgqZ(ifK96bD1$KONdw$*~wpV{Gkq1z#| zHSnzZOtjWimn+=YD`p@ddhADk_A$sOXU*_NU_qFgRB0FsE$S;Ta+^s2={0Unmku_h zu2KH;kN}rKRvm0dW*-Fej(r(Iv&%!g?zzU)R=7E!oA0k+u$FBeu={yS1SYHB>r3cI zNLUz<#QbA~AGAqx%I-eJikP${&&2V%ooVV7pO~%eu+HG>zFfy z#SxbXtq3{USj!#e*btwKsCxu*LqY|x?UD{FCHEpi{6)}XDx4wtq#nnQTY#$rNm@}M zSriKW^IZ}ADFg7WaE4*Qy=frx@~o>Bxj6ROMa>!)0Ga5-7bvdzRLoVA7X^iqDnZl@ z(a?6_$Y!+((nqWWq1onej|Z~JlmNMj3FNesQXm2HXgO;Cj;SXqVAmF1e&H$bV+X;I zR;9pN)S6LoeEn1BD7Pjz;^oq84#^%9!TS=?zPI;hzex%vN&fZ#=)>_2meXA5ae>dh)|f z{f940t`U@H@tO!zvhdyAosKC&8-#3%eR=QLbsm2rcVGr<;B8L2(LecztNpx@WCh&Y z&R6yPzddOlFF*}zW-Pn^+pUm0Fj9iGJY~H1*DL&CzkUsBvz4 zyWC7#eEqB+!LMgW4s^?BYD(RB0~{svKx>>|Mp?LWBKu@LU~5*Q#2(t4%rwaGE<6mQ z#Sc0pU;YK)5cMC?@_3{7px&D&c%F6u9180kC^;@Ykq~tdILeGYTboN>(5pE$rMS#V zIQr*XK|VMs1LWgHFLn3V=!o_eNGfpbLtj)N(<@0Tczca`}J$vRnzP)=@*Jbsrc>sV5x1;TQ=#9I0cG(bHi3Uw|+SCfAp zKgf&uunXJ{GVM2s2k{oK7)N~&<)a~K`z|XfA@~u5xRVq;&YFN*v8CCC%bDH5%fDy5PGQVa(Wxe7~Q za(Y4pNnYCiz*r9d&52V&JCXE1DS7aodk+UP;MYi)&QJ?2FD;R7ulm)Yo``j30Jk16 zSkqTxxX-M8(CkGIaAz@+5m&5<7AdgBT~0Ym>|8KXa7;L7=sd!+b00pC>P31^P+WAW z{YGaPb-)d9!bjlM9bKO&-ZXJ&jO;m7?n`&;>;rDKtVhr}jcpyO;j@0#cO+5jT|2Zn6!h zr_kDp(PDN30GYah+2NbV$4fd2>>~INP#*-LmsmU313bo<_I&~;y9X&<4lqhj&OPpn z>9JHXYRjvw#YO9uH4A`YW%J!|`1%)3v+M{9-pmpZ&Bs6y*mS1%6TEjk>h7@`Hn1Sc z7{;Sx>JCu9AZylG?2UWg`sofB>yywib$Coa?=cx6Z-dJHlqHjpW2jyn1}3 z8Eq#nS>9K|y#9^Q^XkXHo>F@*`+igmLr}Xu0M%-2A{!K|?}_gi7e5F1+)ooFEa&w=zk10fHf+q=odpa;NeCAM&zizFRcALNjDue!AymVih-34!OE#FV{_ zLMD>RYFf%K?9q2t;$6Sc9;yI_^)?NX=V&Gm#ul!9+f$X5e2@h=edP~J8yd#1{#uff zyhJvx4`zU-a8j1UZQ8k)6qMbz2^tr9U|yktcSd8$8Z^-3Gpvm&$=%+Y(CeiHI*YzJ z;MfgZXm%p0cWw9_MUPr!arCHrk)KXIk~>k3osTWTsT26ba{ZP6Cd7%jhYTm6TP5#7=K~|cfSb| zIhV<3!G`n;GKgVdfbGA%z&GJ)VxQFNTtJO?e=|E_^#Blh=SoMvhA60m^Wu1L0)MzH z^*ZpX$sTh0;~P<8#Bzr}VYRhJtR&K#$N^RkbH5X7HB>`VBHhboKC=b{%Xh-@ATyze z|8~K!AR9B=?9xyCM)JO-JL&u&K_626m*2C1F5$j3pzv^Z{G&nGU@qb*rmF}C;17VH z1A>`01MPNvYx*r*IZEtv=U8U;cGiGrF#Pw$U_xN|5iAeavFIwqmRkEc5VOruw-e&P3FRY@U$YT{hP@@AF~khJw^5q$W*wuLlg)NABR~Yte!z1^!*wPL zau4F$gX=tqb#!RfW~zR?pZ-FD-)NeCH3_Ak6ob_zruM2gUWo8ZtORf?beyHL;7?S< z81&cNlUG%#%qbYwY?hrHUo_#7QEQbBvR`9gyT;`_*_O(P?aUlkb4ymzvMxNVl&f)1 z47>1LwzU!qc*Xjp_X=AWG}g?VpTz39)tD+dlaJ4v@R+OtNv(3}y?pWT3!@QDp$dl- z8r4@4cRsJiJj)cUY&Gra)krIUE*s{u(=zNf0l;WdrS zx)=j%zZEu`fsb#mV6mExyjO~@EmWDHvwBRVq!vH5`e)i=k#t`UM3vI|AnbEu8+62S zadJf4+*}UWS`J8oGw1>iB-m2;s)#OtTn z8cH3cQ(E`D&~mQnsaRdkc!>F3(^shZ1ao}@) zzi_Ku>;6c0_C#2R3(3I89_IoD3?u~>=FXy)=*iO@jFF>Q02ykc^PKh3+K$ejU5v0{zlkn zTldU+I2Y{gr*Bjvnj7@H!+g(9ucsqR$}~y7B1BR1G+NWOhE1$GyK!7GCceWd4Rc$j zv8u>mK$`OmP}f!xLewnW5fwzH^a>nDw32u-{k@YyYd`C5^knA?o)-#Cn-znm$gNL;n4CtB zP(EV4z3N<16~bwal3cG&TBeaJ8v?N^vRRr#j$A66MdB#&#(24;oDP$La=$*Pm#JY* zzQD9_N9L(XRq%=24O_Q;$5iCgt;&iIdZ!L$9vkpk8Ma-}$fVVR!tDdp%?$!+79j3K zl`Y}`HRL5gqNA@oDqvP<=fk0R#&-=8-D?zEyYq6A)v|dCK*_wUCe$tKVC(!?BPUwV zH#^x464a_b2@dx-t;#r`;PObg%Wt7H;EK2Q2`t6ViV0vA{XUlQs)AY``pF#B2JTB` zwspP=0IT)i?76}3?72hc`M0>(HW!@vt96ll)`$hlA#tHob?j+HM|-wzaStTlQs0HT zmoJqqZz>mkT6(#>(p$qu_NO7V&^T}*+1bTxBsHVKD-cUBF@Vdv{nf^HNAs z^t;kpr5AcFUoSG+88Dqgj#?ed zGW-Da<#~@RIf`;2dEuepna5`fUVVJ_;u=%zEq;rhg5fik?D(z-(cn?2iz0m^i+9Ab z)Khz8!E_MkBfkBo*l1;O-1C4(%e%~WA|EzN5Uk~IN^{_ykCNQmKYai#;_EHP-zT*A z90}7!aH8d|5%Dk?&C@%%7cJmzsGSYogFmE>BYatm5$toml=d=VJo}NXKBE(44-iLP zx)bpj`Np;C+k)sTpQFa9V;@EqLgy&g=W}CX80p zBdhn0&CKVfe+4tPNNfg4N{mIBmp>4e+>l~aICsc`&Uoj9d<5r$VO>!1BHqeyQbU{+ z05lz*Y;oaxFD!iOh_Bq-V~khIAvsM9Xxnem#4mi{?{}3U_tH#>0%^3_2Z@>_qVL!Iux3lnrDE4|}SoC5hEi3C4#CBlCAdxP=d-A;nO8t5c2 zRlK$7V+<|QiZcowX8RHGvCu5k_7yzLiN6%(Eixx}xz7C2O(K`O{WLFmVHK>UwG-e4 zp&uyVDMl#-vJ&yp#a|J@_gnLwe@DJ!X!s+7YttSD0R3W9TcY&uzr>r64+O8o@mBC} zmjFof34l=0Oqhn34EP}LKf5)(yAg-QxGg001O4MJZ?24B0|q_PRPqkh=~H#2U{gB(2F!f z{f)fDQtt+#$s#?c2mVb^L>YikK*1;(2+_H7rV8WnZomYrLLMN6oL=rT-Xh-@0yrj_ zf_2i4jf=PWkf1(=G@ONDk?G|o-VcADjf=p3wtV+OP5)n}^05XK1EnnOTKJb)qCM%6 zicQ4!mpv_obb3cfq05d7zWfJdW0%JkZ+#YV2?%q0F4y5fHZV7(Y=Bj%V^LXnL!Xa@ zXI|8b^bW_LJiIR;&nDT3WZB}akK)_To%6EGV-vwA-ObqV;4Q}AzVpX!IhZ}u7qvSg zVZ8mZz1mi5Z{<@ECpmo@%aX@fvDvndMhd71)!!6+F2wC#Z;6Fw5kV53F3DA z+=CtVcjP1M9Wn5^W5|p^TU=p;D@N5EF5&KGI3&>!fdnVonhY2 z$NNA8>z?(>6%REKhtBGfC8v$>4u{+B|Lb;Gss zudEMmhcU5H|Ky~7*o9cM&AH}j@#Xt}B&H@F+xw@{K7lK?SF?if_qZk%-}&&1*V%knTmhpl)6^ugC59pEH^-(Da5+p4`Uxll`NWLFL#IA@XsM%iK z|9Qv2=TjuJ%dZ0r)pg?0uW0=xIYEcu`5Z93NMuCv0M=Yc7J>&pM$|?!x-pzc!b)}% zaL^26sur{ceg6k6O((L!V4tqs_`K?QRBx`lez?*=np z>*4AF8|QucqRPcPD4Z-Bh{YZIi>&rJRPXbPg2JjNi60(|(`0$dzE}icP_aH;<~8Lf z4=XB|oVi@aWVA?PSDO-iuD;mJg<$!DTiHHp9(7uS+9;JS*^OKfEx#?+Qj>Rk|7Ur4 z==o>cxfQ?R9k~@gq21jK7wO2!UALWD}^8nx}-7MJ*x6`xueK&7m`gO!5p2H6$xi!#l_?Qqb&V zlsJ@QS%MJmBj^{CK2^+U*QRsnc{jTH$^9K`U6P!1dwSYRqc7rt>Z_Mtj-XlAn=x)w zOm544GtlKWbhE6pZW5dU9q0?eyY4#ynOEf}+4GYv2cf4OhQzlTfqwnP7TcPxFZQ}` z&6J-lO63z?uHwWzLO7@hiYO-+J0!_}avPJY>CB~WjN6#B(`e{Vi~VKDJo9=pY zOli9eYoqix*H=7=OTyXZKO-Vkwsr4AdRYTRZ=Pe|AW~Dw(+E?%V~>wxZ-D3Brc8gB zTyU680B=FF?lrD6_LGfWivb_rYdN_{s4`SgSQ%B1?8H9I<~W8#X}D};-S%EP)P?~l zOep===2+~ek&&1gTaR%@j_5+uEgkr`vYL3eP>E+nA;cw`?__T6lE-_-m(z$PG`TSF zakwiAANn@gtx@=Zug822LH;X~_Gpn}Haif*T7nguh8@CZKh?F$G5D+>5Gry=qn;QF zj_bl^_llcB4~#yDJ9(mLV(Fd_72G_c&uMiN)1l>CUJ%Bma`27|(keqVz!F*q=o|X0 zW9>99U)IB~w<%?T3F%sHcCe(?WE>Aq_?|4B+OeP^txJ%1?)-A)HMg|5%8z$+MIlk_ znM7fcI}{3%4a@ygSsUuP_w-LpFS~p~`hsPdpg!4H?dIjNx`S@l2ehFN@~J1Iion*< z#FROJAih`Z=6r$y>9hw5Vop2gO_3)zlH6NvwIPMc($ zWGg!nNPV=FoFU*WHFBE(EqijXmqaw`mgnap^hDEzglU4V{RgS^47HlHqMJy>vQoCy zZcB*M;|7K}XYJw3ixm%71Qpggds<{+5tW{qU;Y;;Ov|`mlp0+A6CM4G)uhTN@&mNA9RV4 zIgJiqT3wi!<9dA*(?*^YqVoLRM?XDgA9qO#jC!r^`&Ri>-;C8`TGprH3pT?cSPs-g zoeOC#Rswj?U!^u+`aSSRD+4pe_-E7Y8{S@(i|s{I4w#q&bvswD7a{u$-;qt#*sh;c z6dl4OsE(a;)m`qFix*&Gn4Hy4E2M9icZ(TZS!=u8e^<~fD*|O;jj`$h6%ML? z)QvzH7wadKnnmcD?h{F|}J%y)|N zvkT3pF`2a!m(~`Id#9Rnj5C!&b(>eOqvj6FX>npyE6yp%pL#4mj~)E*TG=k!-41A} zW}QGpOSYZRiO18B zHsmO}rSBIf+WoRz0lU%ekWw%-r#1~>B#>msP0*^nwHN`Z;U?n(R%?dbgvQ=Kq%L1~ zy$1i7I4?ag?0Ncrz#$$*PctV%+!uL&ZX6lJOTH0#kc=O*>AWf~2{u#&F<XF z7TbS@e1KbtT+IoZ!bG+aUY+%J!a zz?j%(h@`~9xd!?xDScXyfW$SD-F@GtWWp++QfAn=0cSq?3NS!Vnc5*s#fU(8(y4(4zr2D4l*N9isj!Sc#{kTuSL=fB zBIFZ;j<@8l9~@j}sJPsbD!*t;p3uyp>8I*OZ0my7m1IJYm(XZ?TX7cLI|){Y{ik~Ko*^P609iyW-Vyo<8r<~LI&2mwdI)E+!Ncm z5+V9z;Nzk7lIiFwcS0z)k2kW~Uk)K|QFkpuo{wH*lvVAWT6Ey!M$5ZwW~E!ulbcJM zbaX8#t;za(9)m#vnbwEB;vsg~)iiC&D3w3Gn3M9+tlvq^KcFsXDddhn<#|7zvJq@Z zY&Os=gDtZ33)jQg{ni8XMa@L$1ysgh5u#>XO5n|=SdM;`V&-NWyR0D&`!2K!XnuFf ze7Gu4CwTAi9t>-w(Q-L8w~~3#z){^qRRxYR`cvn_L$eh38C8szg>Lg_??to7hBlh2 z&k6*O5a^snkA|<8nY}POv(|ZvMb@p|XIi*YqWmsGa8xPncTgIx5vOcW+pxx&uv&$2(DZd`Lv`Otv?!q$erMa2j6=STrnZeB6k4Xrx(Fc(AIvLrp1-VEvRd3!ldc0NX;bje;;>yFA1OvV2>P_v%d~D2^*|3es!kO_ zHy|P?9CPmM?4jn`GQJf?U^+hl>IO(&{B-9b{zXV9h10GU4z2k;3a{7UaM-RyY_KZ~LGrvLh*Nb! zrC^~{0&1v2vO06qfRUuwwTXpNrgv&xi3&+4%{?-pBV>zMg5m=QVzZS;x~Pm<}lZ zoUg}z?e$Y05-Ul%X$6L`WtZ3PD`D=$kk3)l$?x7OGc?-f^-@{?&FihQ@H#wgEe@pK zjJEPIfR0byk5Vw<28jOpardcjn`_fr&kNLS-xHPmi5C#< zfnqV`_Fz!|WXi(BR7Q&=JAwaktQTq;dvEU__|y;nSjbq{^1csS8^v4peOjVA0G>qD znh1PFIM*{F7?-$ba#6>DNbF9BaFG(*%PVt*QdQJ}OT2VQiGGtVRwHKuo&OjD@MOy= zX!=9lKPS@9t(e69l{M?HuljXjOZ%)Yq_~VJYE!gRxs*ep=L+2|q?nM}FpFrn6~nplz`zVIG_9m2Anau!2Z=2FnO zqw2q8pbk`oO3q~;qk+0<=sed)8M}OGOlu{ze-&X6tM7-51b0`cfTn(gdOuafDReI| zzv3=3uhx5!Wb1Kbmj|Tt$8Tyrw#8cqMEiUs^AVutVZ+6yU-=}-Y0?ZVNl6dJY2pCV z#_t!Ic=0=#cn{M*k%?cW{3H{9{7xoDUqTJ-U=UZD1Fwmq&Ur+nmkwcjKntA56c(JT z>9HGJqM#ogmn<*7GDxADl$G&@r@1P12YKTmOTGW8U?8H;?}GyRA4qdOGk}e1cN4}M z6TC3M>gr?Onq?-fyMYw;=0NW-(yhRDe`bjy%eY>s8weC_YFdlL=vslhOiQ1jwp(Lst1+&0LJ%$K(loYsL+=}Z>>PD$R7V7x7d|0h9!{IWYAp7 zYgMS>D7S_>Uh0?-Ws`d;4)?OhZ*uis!+%HfLEpi&jV75-zmf$n&+hH8+uMg!@^14U z4N%tpCp8%z7TXPJHo3Km3M`%Lz*ncI z2F}1c@CYkz|&G?=_a9=cZ7tAph zFs5c!WZtrM@>U{6axI?jjv?Ksyg{mBmtPY`G3pNvsbRMtp~wV^|JRc~Wcfz@=KmQX z3XiPrI~hSjNR2E~B~XfN+#>j3pLSROM>^8!ruJfUYqQ_P)I;)jk(UuJ?R*{#43qtA z8Go>UdBjAptV8WOJ%R_$K!*e`I5v(XYvc?19u_zWCGzaPOk#O6n4BVL;+X<4@qEJT4J%D@XlwwZ;%7QLpHbOP^gg&cf& zYDW--8c$9_IWoJXy}@{?x?LVqV8HAuG~WMu)kGA>No>F_KxOM`gd9~SbZ-UPPv@xP zo)dq+FdxHr(Yx0_MejzVwhf+I+usJS8>;mu(ZvmThbBvXCMOYe^y=uEw+9Z^45DeC zte$&1TU381iE9}&L1Qo5istF6|&zzK5)7eQ2r>od8x5mBZ5U84A_&^FVK?Y zPOpv^qhjhtwbo|Z9TD?Soj%a4q&QyZ(p3G5}fXX z-;!0*Pkumbw~}c9Y(PX8BF=RS*olmZ8*yXcj7S^xOS@?PR!#483od!K^RL_ZmkdKL z$vO)>>FY;aHx^pGpepIzonFKP?$FFO*T@+Rl#%YV(noSX91<&6%fyu^6fN6+9X^oj zsw0N|xU*Qm;|L|<>z*fMynTKHF&MA}MP0zx<;F@tS5)Z-r0`BNa(N{n*C8?}g##e*pSF0$w|l@xE7hR)a4XA)F$*)1|RnE3pBR zv1ctbjd~HLB{;{*9q8;dz#+Tzohgb?^zW60Tm*#yzke zFVA)AqZyBX{=@p`gh;11o>ww zb4JyU=Q=}ggXBrTN837(W!ir8N+ELK6hUbHQ*rK8B z=JtkeisB&k@VZ~?O=Bd-E4Lo_P7-|6e&rh8YlS+PLvZ4-WWB~49Lx1>Zmq%{ zBL}G4#tQUD!M?xyNn8Z~JCfQdU_1$v#F`)DowT)Z0#d(0-JV0V-w>@F#6(=yO9zpP z18Y0dTi^Yq-{}^4oJbB*zy!KB06CZo{50eJPwVz`G5L;31)$x}>*5OfSIT06N^}Cf zibpetA!va6HMu+QDE{$Re_wKgF89yVoY&47HN3Tiee8mL^GPk z_zlr-_xCiAwf{CR$mMpW9mRj<`Ugk^r7N2dbx+!%l)k6_f`ec5Ipd~xe8A5tmk<0E zTq9F*4+ueDqHjO`wGxOZKFhsC0iC2|3KGa(v|1PM{aupzW59^|LAvl&yj;~T4|!5w>?IGYesiRp z5;8b({Y+5ZodU2_!y=O21;9$9Ltf3>-SZrjQy|8M&#WUO1;V>WOGQhCI$(L_M9O~K zW`W=phJB;j;T;{`%^1NF1qB{Cz|T5avK(2w5;?PgaWBlUK$L2r*(KNSM1f6&oV_J@ zdk@|w{`1;PY&I>U=xG5wPh-dOMWzSpqZo4^q#Ujz6rb_11oiO{vNE;Dsy`-Tdj_HM z4pwWiUo)PPm`4vaat?uv4O71asfW|<8hNIKXqs4Em7;BzRkj-EidDb%l(YP~?bT}5 ziIwJtxS{qd>diR0DH%?V2y{+#sJM7Ge;weil|_Muj;Aoj`dK$GpYG8d>jaiEW)W*% z(JamEJ5s(_n{L4YRBzUz%{eaCVHJ}~RYjos;@+vDL<1`t3KBE*ab5j(s!U}A-OF@q z8ZnreYaoTq@G2PK~ZW8XSozJ0?KeT9iIcpmVHl zIwL1&y7*LW!9)zA5>R+JZ1&q{#fj|%1gKQjilF6-0|qyGLMA0rN9-!o@=o$(?0&5CNC%e;t=imG2i!6wXMlI@p!ZZ6kq zl6vDp&O(cuZBBQ)A|juUu)RTQ6jEgyS&Di6slW-Q)e><>%4@QxNsX-JBL%s!*Oit= zRvaNy@=j@B+_;o83QkM@Rh8zuZH^%0$epjay8IMn*IKB!VpP%3d&T(_I>RA-3Zuv| z@G;rRFRmJhs>+p_w*nwS=2){^?>?Wosgf^5#@{Ir8%5+y%mD-o$BK;F)S{Kau||}w1jNE7c}*Gi~zxtS)JxO z0AZ0K*acFVR&c*@yywOv zWxnt-^C`AYC+B?968$d6icq|j3XEAMwC3M7qZDU=PF{URQ{Y)E)u~fOdcq)&p<6ZQ z^H@*)R7*1UK%-z@0dPuKxenK`Mz{g>+f&W#&{8o-H|an^5h0AXm?VV%U(CICAl7aB zKVC|tGAcrpC=GjNkAxIT_Lj)JF4@^hB|CeMRLGu}O~aOv&1ICmm6_S^cZC#cS!AQuxDr?u}iZ*V-;pmMg*>X&eY~!2(e8D;drU`ujEWbxUb571efIQ== z?}c=;k)MCGS-LVxZ zRrekg9n~_23j2-ETL7yefl3r>2yXT%I9Xk;Qf{kEkn)LeS@!A70@Cac<@wqTxZ%rt zZshK`;t#vO9k)^D&|-VgEQ+TnO<2V~q|L6V-UvyqMS*T3W0mTDTdT1@>=16dI$QN! zU`JPGBrmRT@9~|AjO%d()hz`1ZC`xM9Pd684!n`4eqYmRsr}2q*33YF)D*hct)1BQ}&k^cTbhBUTc7Kks!9>EmrCx^oS=5S?F4PD!r|Qli~) zgX0q$W`KU+;54$s`@6?g34ywio2{-QY06v}$Wa5M=NPbIV3H?>#I%2WIlXnp5y=)b zh;_2*0{)DY1SqpvpFI0BA@TRs&WGeV@|v96q2i0gQMhI`LztD6||SYbhTSoI8l5B|WHD??0-PuA%B*jX3NtSbhv+ zBV9*-#Hk)o zjM{DH;eiIj|19mo&e`QWgXqhkpP60-Dz~N|R9nM0xAZEu0B6rx;nE%gu9vi)S>lx@ zIQbP>aM}2F8Q|@-JMpcMSchfD^_>cq2nP--oW>Cfs$7|;aQnvls21xrozS>Up$Y;S3THOK5ES$WG!@Bm%Qim{(-18{_G&y}Ch9rB+H)SCydnoL+PkWmww}-G|LA^4sw$l>WIt~aBm6d5E=UFw;?t`v z8>~VyKnIQ6V}C50{UC!~&O6vOTRbPE8%w>T^$p?W*?k+HlhPaCZ_MG~;9QsYASKDF zJnBP2`>vuQAc4&!#)qEX*!wu!q_()6l1D1~nl$SjAAKK*%MA2cI;rEHv==Vv9@O0{ zdVE5>qI@os<74!|BL7IQL-~Th{lqBVg~qWG+u7)WLJqe*IFz`zjn%8c(T-b`>7Ul9V0a6yy1*kE~cq4@IO<3YFNEi(TVvn*~M~A2VYKws6&pIF7 zX*1I!m7!G{WhC*Zq3u_mq@Nu#Rm?C?_u$~uJpA>~D-y%-d#`z>sGy?H{A5ao(s9Jl zzM4Tv#isjsJO|GV{7#-D%N5}28^wOg*RLo0#0M$Kr)$BHG(Ffj1(wo`H^-x2&HZfn zmhYZ1w~>Mz#T|no7NJQOK~q0Q!cF2C#EXQ8D~@T6#T21lWPnvF=_=Cw3Pd~p0QyyA z%sC&yWkL^yGM@<6GVJUy%|j6>oG7A@{Z02se$NyP&@~LFuvb?h-wE<;>Vam4io+XK z2?_B$pR^;3@Mey;r5thN!^@jSfWqAXV(3d@^Zi?|A3?9r#pOut?zO83TAA4RFod}S zV1Hj-BzVgs230AC!OL%QJJ)uuUuLw>0Frkkm;r3P!dOM}?D)9#oRh!)==9A*%dCmc>WJ_A12 zftfA`;LFhmCE4%r1fZ#dp#okFREdrVYIpC=H~bV|>lpoF1YFJL;4{;74COesa}N=V z#68&Ci05_Lz-z~aGT7}*R#~8WRzW+!RF`lEytrz8+U$6QD&J^dd)wR8+iD%P_Mo07YJDDv5b=L ze#l!9c*qgc<5#ZyIw#2LKRt2bm0PnC8jDFgOwHG}X3*rdp4>#(nw=enGW+ z6Focwn~1W7__6D*P2fm>%MkAl*C3swZ|Xhk4)Gn2fL2btLBF|R>a&oFLUa5&Cjk5AYb=k5W%}Mgb{T3+Xnqx>(Ct6!r}J^ zOi$WS?Cj6a{g$NeDmx_MK8v072)q)SL;U+2G^Kl#i4*eg%IwWlUjz)Mt+;wb!ckB1}ud%@B?fE;d{(fiY zG5`JjxY7ONG^vI3bUObsj+R5sqGA2MT>tXeB;LJz_>d}wPyYK6|FHwEi?E3Qzn;Ek z_RZwf3DT}?eJ`N+l?IL!>h8=tZa^?CcHl5M4LGvCku~Vsug;Im1K7A8GRTp0o(-Ce zRDB4iIdhkS=fih6rL(0h>_xomb0<}w?l?N%aCuI9n~Cp|kr%Wd_P;#bqXW<_3lLNF zkV3}@DH_R1Sx|D8-L#8!6*Q(xd@)Plvp%{CswV@7L1Ql8xxOV3U+*X51Ry78B=ZBI zCCfZ@IWX-F3;$RUb_&I95CC0J57ZP!FM0w_RokG46+Y&kluvGZ}&Fb6N8Tg!ud~_dobB z`IaA&EcAhepe0TH@<2A9B{2WY1Gof_c||?bV&r;x_eZf^n_^Py;eu!*-jq;nx9IO} z=vqVyJKZxuv)s89B3o5OX^BcNm8U0y?cMN*LO_-x=-cxUMmxGGJ^{pdBdIx!0RV}( zu`=72(lyzkn0PZ*%REmTs{D)~Sq(r!*j;qn{8PO6JYegel}&yf4!l{1pwWRHBbpT3 zp?2vyjW-yPWAz^;ZMt6utC*d^aa37SP!#Ie$m+%ja0Dmv}WMb;)r(VxmR0R)Lr z*INi>OIH?$zrhj$ZDm3Yu*%%7R1$~$5ku?6?qDkLl3KjOJ;7PX2T3j)FOWcotYmzZ z1>jJSOV>1GvSd>68D*@XbQF&qBy`|8uz$@Hb0>7ISJ^GS+EQQzX<-RXY;v^!ETIn# zEMc9JR;hg+g0?a5Kyv*V`0!?M#hxDa2e7UZn1IqI9grVEi>Swl56;HFA_D@diKe{; zpVV$5|6zpI{W`)AjY)}iv%hhh8aDrV_}?tt zlQe9%n4wg7xbW@(>VeG;S?|hs)KE)u{q}hJxFzmVvIzCs@(ja=r$-L;Zb4nbVIW(H z&vOKKa(q5s+P!9my)$1RCv{E$wnd)TKgl>v64J4d%113C|6576|;CH(-wLR^?Gq- z>fY$5R>bz!VY{ym48eV&YxFxuDuqa19D%4?m;x{n|(v-GO!QX*$vN2sBnnaXZ0xOT~|F-PO!B^dH{>25XE(GcF@4`i4%u!qv@K#vIpnyVUc zgIq*1Lj%=c%z{XRe4fM_$arb8Bw#omzH^7UN)Uf`e7^8bqQ-KWJ z7(}EeD=+4mQut*7U`rP7#X3R7@iP@#BjE-y{!p2SZv-lpfAPlB&0@XK{UzO#d#tq0 z4MSU%O9dx~YXe6h3n~x+;n|EO75f5QM}3i?j>oOa0pQr27mKoLqY^k4lV!?9`9+2Z zMXmRznHg(Pnkkryu2U{KHqdy*t@h7^QHJVc*e(^tm3qfy*p269VkkcnT_m4;=qn+h9hnrW<2 z^VJu``<9Dh>(n&aOJImuEd*5Ve(-sxC#fr)%LeuL<-FvhDUGaax;W)V~VMX;ZzFrOlmXEW1yi_MxqyjqVcW)q1jZ0!0ayjf=VO z@=6YW>$FK1-fGW~N$2|Q<7R6AQV#?u1 z&1bC;D}j1UOWt;TrqaU1ul=Ay`~ zUvZ`8twdEt<|~JcX&PZG%}N=Ej34(l&Z~UxJf+(7(v9^=()wh1F7;y@Np;VLYBlkU z#gkmdL8)4$J(n^(c%d%u00T2jx7znZ+TR~pTgPqjy%ii!v!a)cx&V0FR4ycU*8=FQ z>HtYO!d%6J6HX9iZRxE|W)mGV!Tsj&?^C+Rl?Fr!@9D#JM@H%X2-RCRa2iZ5s>thF z53JSBE#DF~FRCx9cB@N_&Y-pxUhi&7#k%%bdsFi(9UwYodQ+)nd7@Qv8A_UTL*9nC z*@PWLMArLH$;Q5T0G`u2xE`ibT>!9KQAXLU>Ot~bP9gn>lYluNcFdHJ56#>mzmteR z6TBzzeQ<1c?9jQw^QBJfvVGT;nq=oC09?pYzd9Dnf)rfOL7YGA7Q@#Jdidj;_IvXi zRwrnMe+M*~$Rh6(0D_xzFm?mXc2MaIc+hgE!Gy}HBckS00EOyAN^1VCW_$bgL@hZA z1N>yV#v)PuN0V*p%~hp({7JrXsH*VO3W-`mu_NaeMX?^o?#AeE3=-Ir8IYL+T;SY7 zZ-;?&#pXBHfi0zCZBgqZgBVH13JM$Y&$7>ci<_77#hqPyRJDnD*(6b8 z(!Am`z@5?^b6IP1x?y2+!iUSyrDTqGGpf^Im5ghDr6SQ>VVsj!_R{Eeh1Ik5c}_VW z`30Ga%H@q2?GM>+I$kjTYT405(tujgsdHeKT3?%qbck*7#%rGtBzxRWtsvROSHxIb zCfQy&KZ)Brr`d?tAb9$)vC*8Z2qc2Wrr@Q8t~erpe3S~%Zm&9F<#^pfh+ILED+{;% z%~<1Xb%8?85zS6BepTmLhoO{F$7c0V!I@2g7WG%7c99AW#c~<_a|sD0V4H# z1GsC9RRz?KMXkRpZFGM$9-M4>ePf#N{VQ{$5;+)gAt)RAJ)+}%vI-ia9jZ+$Rj-$( z_6lW)-o&3#-&34VQvHENDec3$e!XUftw0i?8LvZ8M8TpTfjK|Emv@RuXL^<&E=H^? zg@4(&gwJ-CYF&kx%&+t#b*Ny|Chxtb`boud{6e!*B~(8%_ba83S22r|>D0Js6srwE6qbuA?(Pm^kCiF5izG5=VW~3|V-0Aq`c( z*@&0VBqKBmD>#I1xhpZBCXw+4?u@1=Mnt&bq8Msdb#77Lafsz+b|TX679BrPyt2S* zDjdLki0`ztnqP6r%EGns$hBz8qRxxDy$(W2)mMb)Xm!oaKEUf}Qu>O@)wtr|iZznl zbxY;Ydv-!9g?W1N{dcd@MG?^-OJjibN-N~D z@NworsFebpg8LL86+U${Y-W?Lg!a#}P^!if_k+WI9<dxp$n^D}Znwvy)nrWORgBL0O( z65zF+WJL5K4y}e~{ezZ(;FwPo-mHBiakmhtp!Gh#b!{w3m0VOlz5Kjgk;=xYgmznA zf~ed!Fnf8|%^bAk_3jXCtA*rDKRY0ic;Vfdhay*8ljas2LvP|=H%Ek@YXk{Mx8pKM z!Ewc2i*LZ(?URb6=8~>__FX?*mg$*idE4ybEaAt@nMw8) zlvZ!~DIYbzkw4}Jyb@tLbYG}uRflPeC2NN)*8#7A;f=Eo+Q&KzGa4NLF+tomeAY>41S%2D2;|>lZ~)e+Xg)Uyu=H+y z>wPEcb^w=DU+DL;BKE~CTQD}z4upbZZq}jw)5O0&6mi4SoqTf`iZKhM|g05Wt&x7Y2RD z+n++!c;Ym9ytI`Y+G_#1CY_BD%Ug*}0wrLWi)&jWyh`V11MiyICG5D#V7cv&ZEMK( z^%IQC2K@#7{_WEo=2ChT1T?p%aH6Yxe0!g?A3HA|^5QR3$?g#B)9YW5WK0QPs)huTClP90uB=U7MjwlHg8_=o`Wh9ndnx4Nb^joI^$8@ ze~5UKfoB-icfbn5+)C}h#vkzM{65vJGe;a_9wdK&eGcJn&RJEP-ljjrIc&(Y?A7 zymwdU4LP^<8`In<1D8K*GI;|$f|q)7Ky0&HPbw5be)2HbJN|ycTPonyFIW9h(vCs* z^%SvZxcu1a7xzer1#rOCks-1zsLa3&I&&aUKy|6<1L|rX>a|tbTF-2hKy|TUaC0nc zHcJ2A``a2$|4$94-!f|RkJly1Y%iKkO@AF2uON#&oE8dnUA~Hh6V^1|0)ABj;+fnO z0uUWDA2f1`xpT_RW(_zqv>+U9Pr-9PZjRpS2V^zSOm%x%5w0C&+vT*RyoQ+k#-=tq zJkG9s$3W&Brc}rv1d7w3B{R?wJ7##6j7ty;yWDy6s*5V6Et0w+=C$>O$OT_hYX+%4 zb2C9ElHOju4QOg>fy?t83X2H_5UkiD@5#eI<@XzM__3Ar_zwx>E8asZw)93rk3HBe`Q#ju| z)xS>55SH_!%wPY)AN}~}tA}s4&+cK=QiYVizHt_KqdRm{NH~7Wo?m^~=_uHPa}gH| z4eBfBIq@ zeM*yl=x9P!@Hg~r>i_%KM_7Ql|41y(p54Rv_55GG;|zfQ`n2^-|1HS%>+`>UE%E^t zr0eU&J%4-uZ-0u=9R#s0VLWpH+gW2U8T>V>{D29L&56Bq`)U1fDbH2!qwDdc`A;he z76tjX z%Kr$iUrp>hAe6U3m_0SMv7y}g?mxa6CkOlPf7+ZH_oQ#mz@L3^kKp6UPJZ@GCwgWN zMzOzj#JlH>iai?$TcO!9EVVB>iFlhbr zxc~U-I1~66KMk4^{r=^z6TWLgT#w>DIB>_~yD2hf*XUU9NR)qVFOntFZoK_}EwbxV zGLWB7(atuf{%hNDpCFuLnoG9xzS;HczkW@rhAi9vu(>#Wu{lBh-{FO}q_>YLHs90D z@d-Ne-r(5YVTOXcJ%#vW&o;_lrp!m5Cx3qK*L;dR13~umb0+?O9VVjGKyaX6EogJM z4)~9;(p-gs5>t`=OHA>W8IHiN_FScLX=9x}Sejib`Ih`yhxWHQwR-uchs zK!h8@W&hjum~!4cRU@vs8K+-A-;(SwnGz9$8gT z8^t)iH@_E78G1~o=GmL96V#z)W-aJeGr{r|1o$m)M)&HVrRH$HSs|MB-U#A{+=##1 zS+Y=HouuM6XbM4>Kt=0*s6X4I=d8uCq1(DC&HlaJUvIOd?x?a>cAJ;THyqXS*wShX z`7-6Ryj%BB@o9W;F2<{7_ymijuX+gR`gQ50Ryv#8S)Nl8KS;2O;&?YH<7q#{buNFV zz`oBxJ20%2W0bn2+*YZ*HDMI<#$54G`b@Mw8oN5=TOZVGQ~hd4yqa`)+F;bDJ%%v( zgI3HaS5o6y^U7{?v&~>?WP&%wEM#5h{c2pS+iapO>$&_=^CvQ6{-;H)>1(~>_}(v{ zo6{dzDj6;{Xw$xoBWS;9n9X7m@v+w6=>X;f1~vz!rCipN)p7QWH*d_1QbA8^4b?cX zDbfYXR79I*kb6FL#QwqXPvhoxJdWr462$FR4-AG+_}1rK2(9Ht^<3*r*NkkVu0D%S zb)Ji+Kk3a&C#%7hLcm03J1~8nQji&YW}54bk&32y2vpOR;w&!}Q&2zW(K=T;)Th-u zkyMZyb2bYXb=ip8e2}0=DPVQ!sB(Z)0wd1SrRR&_+!ghku`{DHl9n53tx#|KcG+k; zq3ZRzT-B;hkaoZbc-~KJD&G)m>E%A>($+;?{KlNr|Bxv757GSf3-1_*CYxWljh8b% z<>4J}EX>79t4Yei+{M1is(!;s4?f{hg!nCJefX9 zhT6%<_}sXQf*C`X7xY45kzZiV3o-v3pK$~c}0DeT~iia^nIZs{ypthtS(8w?erGyF{fhUG^p+)v;4vp-5{yMu!TS!s;#94{>=p1XVe;QG;3N>7brP1Gkp%e5E9w&IN^)G~A`lgt_9M3&^{| zy;S$6AfN4U@(0aWhmweblGyTD`&RGu$`}JQUNljHhh}H(x+5z}!+FdNEGuFsGXpk- zKryMFP8Q+!gBkS9b7N**HUU-ooxyqoGuDG;Eu!Sgo)&+}yIaX3QDY$=yIlru-_;xX zk3z8R(Vl$rv?ofm693nw_m`k$KMDps-L>R@k@Rt72$JD{+MZg+mFE@DeoN-(rEg2j zOX(Q;e%cX9GOhI!d*`cM2G!TFt-M~%ly2Br`(UxW{{Sa$m5F3H%y}KwZQNRy`0cOQIUU5x;1w9UF1Oo=`-f8J z%0~?910kiq=086AbGsw2Xwu<+Hh+D=eb)^CHURoL4XKcNypZ{E;gooSXl*_5g27cSJmF=Y;>>(8rmYje5sxWPDHBNIsy5Ie%*Q z!|naoiJ#dEVV(vpQgjQP%zFG(FOZ9lcq!(_nsdEwb>Sn{L*kSFvH)=s$f@>!O1s;u z@wYnz{>+9I{ol4{7%qOU?dPEsA;Xa)nrcS{eS6!_xa_lY>XG&1ywW-GN&kW?B+tVB zJfxD1T8`RW>EnJ!{?~@*Oa*n2+q5<3Ka0ZOo5tq?7!Y(AzV-iZb~k4t2)O^3=HNV? z%xdp8*dbykRcI!|F#=5(-;=SLVl)YRnvA>-inGBt;(T%WAfjJri|FZ0AI79E5FH{( zI_X+7cCB-q;}zt@p>GFK|BD!=K`aYHy6eBk^dEN%&8^EYgbo?`Y`Xva`R{#o6)bjg z)YXGKM)1!)ym$YkM4W!#^g;d|5ZZ@#aQunbJ0F-V-Wh!=cZ~4oT5z#!?^7ogLG#;) z5A@fA%n_02dsP2FHNNA$q+@WZre2-tKJqUe8U%?zF6qJkFT-o|*waMwG4o8mX*Vsf z%K#KSoTybS8DGzUaxx zO*>vg!t;9pT^ z&zCSc=`2&5uZ4Dv{Ows+_NEuv{Wcv-;cc=NJLVt3;8+nW*`JM3%hG+)zPbW1x%Kp7 zbRQp(YB~%01(%zSI#m7p0z*m8nTeH>pjx|jt9h7t(J2N zA|<>)45$zAv3#$y&J9S{Lm#-S?Dj?{o%yp;E#AlOEgm9zJ+=6Cgz+~#*H|I0wcwM# zzaJvQ!zs7YIn6ZYnw_xQcacwSrXAgkX$atfN!wCztj8gab@(JVW9Ax!L~5Z{fVjyj zpz`$B7AIw|Ztn-&E1A3Hbke@xJ!ltQ$Ud}VA~+F4_+q3TIHVgR)_O&qMs>RG5Bp2< zc`fZXg@e&()#AUsL!?&R=Xd-Li98+rJ%J%T{wg~sP|x+NR+>b}!S0ot!kY@CO|f%9 zE-*B|786FY{c8-3dHOy zoS7SsiEL{tMMr##TX@H5J;7)HNiN{b#1>hw7&tfdr+kVpWV|vL4{p-6D~U;C#3)Ew z7u<}850?dRoo3a}cpu+3kmWi0s*x7soURzCoLu&Wn>WQ~4=~do9H)Ny*$Gn$K_Eed%2WI^*;0 zZYCq3w<(N%)QXiIw&9HLWVH90ygp9EzkyLzP+vvy16PY+I_pWz(Iv(@1|to*5mhZ; z5sI-}%Q5$m?T|Bc*kQzxRr-9fex5}X$Lja`)z275&ezeLw6^GDofvKcN=paa;93iz zF}JMPHl{qy}2Kc-5VeAM#{huG0KD?FLyT-3CPGesFqu zQoixUnw4upY)N;Tz6&*O0?)f0;*ECKb>S9?gpTyOm5NN`2I~)k?pjr1}*|W2KPjh{z<^*vax z<-nKEEiAstRXg%_HhcEl*)u;+Og2lIO`kOCr7RoPMkkQu9@4rp0S)%Y9Fsee}R!avw=9!3j}nJjH4F9HHT}xECyM ze=tjn3{3=4KB@Gkh@AXmOOrk(AoBvwmd8)tEG~g+MWjs{?B|%B2!pEb5v^7GgQm*h9<}smD^Zt~1H{R-)cn-#ryGr%hw|1P!a7o7*HzJU zGO384Xb?3Z!AJIBMNkHtEo*}_yMhjwn}Vn}Y9AaL%TMdPMs;?|Bm**=;_t^Sgu2?? z=MrRO-j6;Qu#6&lYE-EWZYF2HWDhKX&&K62fpQK@p|HNf`@I^=AqyCmF*mIjR;`c_ zaNlykqS-0ngko^9X%FH1?a7uqP~-?;a&u2!ePAyd^fq9NCpu$oOKe>12+1|73Yv=4 znnhM`zJCa{i4P<01iGe9$YFV0uqZe@OQW!nIyCS6RiXWDOz_fU7l;GL6t>GCm{QWh zG?&ae`;$hr)1VKCa*{v34iE~KAfChZEAhdviY>tgP|6urZq_(qvcNyjLkz2tCW^+Rg7iW4%GLL zNeno{dBxZvyGMw>F;f|)*%}~!wg)5XS9RpWX@&eE&|LO}V{V@$W{*Y@6>%ZhmlX%% zF}Gle{)>%xrL^7BmO=$*PS#v9{&wmRfG%-b^CmGj_%t{uj+_|p%6cg;^5gk21mz<9 zEOCbBBXVfQ-m>n};PBgC{Jth8GYh-V?a=)ul|XYmE`!ZC(}qodZWV&kxDEB?#9m<{Ieng|n%@!(0BaoU1s7PCaz(D|K!Q-`9sN6qB z#(RiPVq1F=f83>eelWKeG_beO7kIP$)HF;esfTdeC(>{&dlK zEQP~I!?{dCI8c5Y2yPYmLQK|GmV3JU?(EYnajTGj%f$t#5UAyZ}aYEp7y#WP<{T_#Wda}Lfw6+g-t@%Td zBZr2~2`g81j-22BVu!=+*4=F*K}WOLCisnfVx9O2&9fOL^PY&yb{=Z4G^~xKVZaH? zZa#Q*VxYX-RxWvBTk5>A@eJNQILbekh!5wPJ3B3rW}IH#+`7@Z?wmyFaCUKoDDIio znQ>|)`4T8~yb-!__6J{e<_41!wsiuMGnkG5(tx;Zu?bH4t()a6*M}rvv4j&ra z#mTo&!$tK6BzZDIX@lp`Ybm%{Uul;+$Cp=m^CRr`=3Z(e*}WL0Fl#3do2T!0Y*A1% zeGcl`AyeeTCG=%S?{9s8DZ1DDU@g;rQ@Lu}%*!}@4C5hk+m%Roy(m9y=K3M?ZR-c1U=c}KO^0vm;)2{6U=tV8kP=b$bd zi|uixB<;#I3bbbUj1aTV14k~O!#7}2Rv%(g%Y6=*Ng3c@+>c@LjN4NkIm^pn%Io%B>5O5XQZyTRl~w4TTNsbm54>E`P-V@?)|zyv$Ed(@)xr+8 z;D{^UsZ2C=sri1wS9#zh87h4&?f@go0Rc! zt`Wg8K{ADf7zVohrGnQXsz=tQI(z{Tt&mu4DrgfbXs7|XLt*nV3#SfA+cnww;kG+& zh4^DZ14#S6*Q0ONNPDUHSwsO|sd#DGSUr`rbCX@{N_4e>5v9YNLwdwrQHsLod$Fo` zuC%x<&ecSoZ1qhq<4~`{=Qarq>ulu#k%gfL>}0n66kq>J)WrcAnAG$6yr&s|n6duC z<>DaFZt1n!_p3TW)v%_4_h?5Bo%sAX^ZvZ&5$^W~zd$ji^FT84C~v@C|8w&Tu@Oj2 zdH&^tySnm`bdAE>LTlr6)#8@(kQxo>C_8Zgd-uLtcz=OwS85L4X%>C&z?d}pIMW-Dy_p-bs}ekC80qre z`g1-?zC8}uo_f^5Mm*d45q^#_w+$W6@#vY&EDmv_hAV4@>fl865tIOAse=R08gI!sF6(Z!S`&4f(ToV-d%ch7c?a6w&o)R40j3}Rza1#N7a2VHe)ANYtZ( z?SE8`11YD8-H*)`reW=k!4uiwaN+xGU$4Bm6hkQJup9*1w_5#JL*#iItw~Z=d#qgP z(JA1KPA#ZRl=pAKFDD;4@lwd>PD9<~iI;Z@XSUiEI|>_EBvva8Z=nsAygp@HL^9xm z1NTCHPSKTmKw7k zuZKGJ4i?@%rK+MZ$nj@1C29BE-9f*IZT=I0W0?503g{50TMnZ}|leIdyXk8~ki zB<}EDi{iu97}dvn3N;_IV=st3>}3{-)iOSq!F(+E%W!QFo3#u}YS%ctSB7FcW%?)y{zSm<_28dPP2*!3d>mHez|VgR)o; zl{r6yESN`9B>}HCVyb19V*wyTzE*u7Mz!2)S}vQ`1`80v3uJMcxY1}8Mbei66*KBD ztvz9J6h*4qXGLfUzA3*?KpEq-tO`kmB?XqbkXOpCUw0f)OPh^590k9cb!DE(m2P=r zf9|D_ZSyH4AGLV4C`C}UX9|FtdZ6VtE&~fjwI>5tG%l_m!Wone62~9~Dw+hI5qru5 z-5Jke0;NjRU|}rplX_+--8#qx*XY@^ZQa#@uR;^FrDNt7;V|6PyS6z)W7q_M3!MrU?=Q z&_8ru8*g>ITcsIu6Af3K8gmnHV@=WzH}e*0JDnYPU=7N5Xf65$Eweg)zt0Oe+v(aC ztshYJtR9riF;f?q7E&Lk**I$IwdzR(uZkF;2S&EGm#ux>eN2nQ@=vS;&4sFibad*tItuGD9PLxUX&5SyZ!MNohdptY*CIsDQ;aeuGjizUW~|ExU@> zwfEZSX#19Bss7Py}0L@finbDw(&rs!@%2LqEoO{1%uS@!S^FLKOnBR>V)S*~j+|;V!D$ zT<*Q^*8bwNt>}GlETsxhM&EybFy6(x-8VP>K;T{ZeKQZ_h&IK0pn~h2O>;Bwklw6# zsT?g6BcO_)kP+B#Ub@XwqeLW`G&+fyK$##cLO7vnq=PQMk8;!}G6EbvBWO_zY}%dv zf^7`YEZJH3$eZq=$kDxle&+Pm2~|`MfqH7+^ko`OL(X14ap6n{t66Uw6+0KR?V$iH z`p80+Oar(|Eb?{23mZ7_`mqWi#m69)nqZa5%P7^ZIa~3HUDKj9nSh3$AE6uj;4701QGk z|2Y<_7QQlQis?v`IPEaahJe_kXU0(Se~96Uc3 zzP%ouy2F^*>#GaW$gIwruvuVlKC#26A*R=vXKRFqBv3iP;(14IuVkmiKfe5W!)|*{ zR`XO;3uW+LXq&JSxl$5`@!O_DT>?6#SN5k(owgc2zjI@t?KJp|l-2GCHdpIEwK$1^ zIah=NcqJ80+&NSD4qUw4X1!}0Qcm}}fD|cJ+&;s`iCZUNOt{CI+pJ%s%9q+iaL5Am zwhoTB2>aAJP%0AL?naf?;hau^8%?wTW{OI<@*iK8wp-XjyR+Fc(X zSms$*$qg(_(P9o!cQcsoRHeLGy=$y-CrtwFK5@MKBeKKNGs$T4KUjHc-$S;ovdW=g zf8>nk;nx$hD(JwS)ktav$q$+754{MMo{JIs3vYe%BW?WVCLmyW)g4097cPSk*+@9{)W^4y{1&#gu7H2cWrvu;?7q~9qiCDixq?R`@z zMQ*|GdwWZNd#XKKX@_m7UT@TgAxDEWQM_h`=X#K6To&&3DOXqNxIcZQ^&&cad*02} zp7#2_40556x2$O^7|g{lq?Ww+gMIrnR2uomTSgMT=SjOlvH$R~W^K_fu?U7XLY~ii z!nsiqhbh=A(k1$x*HIK4_oR~PkwmB~R1{&WTBk)MOW9tA7y%|_kNy_A2hW~ShF zkXRhsUxQG<+@JP2TIW*ua}er}dwm&#wRwLI0<*u6TKQ7B#m_;YJZO6n3F;{{GzUzIfxu_11tHd3MU`(|_q~P~kP;QpGd*>LdR`uPCp*$2t!UR0iO3R;)Id(V8JqKwgi{XIMAF_&QtHMVjv3Ely;MUv*<7R> zOnkh0(?7mFdn(vuR9GBceOb20mnweziS0j5eFO^Q`=I(ABtE+->(4K7H%^NQF_4sa8^HPpHmo14zX5vNhurd6kUZUa;2nUnn2bf+R^qL9RiV zhpe~qAeluiA^I5@%dgtQO+$Zdt(0qDcUIZEx)Iv(Au+l4UU-o3Y&0iRdM-)|ZP{xx zmggH8gf&`FTXE~9&*viQ-B*ZOwmoXA&gT2j2&dig6lop{J@rt@y6J6GBW%DNsbdB! zZw42)MRE3%7JG$`fVm*4YKfJYh~vs!Gd1RsLm2)H>!@B|7oo1{9Kz=bf;3uk2_#@x zLCFqJo6#;Ypjo*Z+mPtyOdbtc;s~n})=Ny=VP%%dAj_#nT!y!#wGjAc;E(hN5LaWEhkK6D; z)dYk~B_uTGN+TWcX_BCBI5ZQ9Z6=B-owDhZ(keAC9I$j=I_@tVfweDog~#xpF?6?E zU!I9Jn!6@vE?zp8ZCtNbi`tApaD$$shCuGr6}_Npr(jAm`nYOji*m%bKEpHKqGmlt zp23I7@WQ3^cp(>)bNNe_(lWhnptXOKa?iHF&Iu;Q+S*SOQhL_CfS82hW1UF{=8UER zwb~g^30<7M`*1zi1g;lBRA9{uH#!B00@SZlvt~5COi(9`9rE#75Y1}DE>-s!Z5;?~ zx2;fH)%vp1*S1N`%Ha2vaakK;bn>BbcQG+T$Cp;s84ydib>kE79o`CXA-KFmf9syv z&$47jI7)jf7H7@<_PSSgS<#Qr)(}&v1q0*mOhKbCFwcx2l@uID7__ta9)U;yB9f`S z@1?dC{4WR6RT)7C_){A+dJ54M3EFBbpDuUuRLfagnPagWYYYaRq$vVS_e6aNW(I)p z<}wU^yV~zJTlX~X%oQ?Xvy?2b8BAgB z52bMWS4_2HC8bun*ZbPmshicc<*NIW<`Vh~tcsp>@tiijGzUrEwr?4QA>6?0=zE!Y z#i7xxfp*?~LDU}>kYuSZ_hWB*jaAp->4Ptrgh!o zMC)s~_>{Wiza#1W2>Xn6u=M&VqmX zSg<~R*!kxx4%~i%%nJ+r#x8ZTvC#kmj)R`|xC;({n`s|rw1X&u90A{qVJ(pgd7)2Io zdx$;59;dCi(K@L7aeQsM2-vGt%P;sD>mF9i_ue?@St(eaTHtAX!vfpav+5lhEGFk5 zFQFkmk~hm=NFBVlorQ(YeekNLgvPKV%Q#0h%oJQelmoM_U53Z3>E2rh()ljZG1F^BZtr(^?^3Yd(UcPA^SauIoRCeC1 zoYhtZTRXdch2j*7qLUk4sJ3zeW~b}tFR5Bz=^OXG8mID{Qn%8`YxC{ZHKq<2&BQy0_%M~ces|dxa zobA9Xma6WK?#>nm+&k?op0CL&q!MdMc$1&WDBmh7flZ-Ax~B0SQP-d}`JGSdFDET= z-JU|mJ*3CW19_KFR$UC>H-AZ2Ffmd9qN zu0*^!we%b-KAH!XHAo1vW7h&YiK%@PXG6+0DX)Hph`leaC9W1ZP={6~9t4)t%=hdj~my7HfT7bNr=PLK zg(k${x9tz>2$}7wBfnhxGGarnSfUXX*puZgu#8QRqTf!SDa5wEvazbJ51*oll8)tb`3yNxgzv8tB~Yq-hAKZE<7q&PF{xaB2^QMf*vI9^ic3D< z$}~Z4>sRoz=A0MPUZSyWF6YdavW--z2c$op;Sl25L09tL3x&f9$6-5q`N`jb3Dw2u}l8PufVpHZ6DA1&iB6e-yP$Q{zD@TyY_ze6V{q*t~s}ww5#tp&t(5qOtB;YO|2n0L;{5| zMF^6wO=ZzU0P`#j=|${@rDnsEA&vGa2sWDj24a2s+so9_e+Mho_7?OJHaxSvbKl6? z@HD|`bK2@x@|zN~eu6WLbuWvT1F{3%IAB;MXL{1hFw$b-&udIb7vFy9>K7K`t69C6 z$g(wZ2i6+QrNy|`nV)ls&@L)$8-V*1K3Lj>6Ru4jbOdCj`@292Z*!CRf{P;ZMx2N8 z+Y+h`ll0Gu26FXt~b_}H#G@&u34j$-KM@kdo!o6bKm)=HYmn_?uc{r+qCjA+W zINv{_QKnCJ8Sw)D!{-p{>&+_1ifSS*WF6%bplpUH-)Y{UQ9~3T?m}n_rmKwCXFC_? zujU@;vfMjUKvne~;Pfp0cnOeJOo|O$O(;3b0@O=pFaYZg3tjbGL&w=qyWpR+vZQ%b z&J{b=-+6bB$m%wsBJ>mE5K(v0e^{$kmw!Qgv4yS3`c*$)0ZVfO=`!hD=g(ou$y+^F z!18|N&T(W|UT(#;F8v%9%oEg|C0n`I^G)g#WnL-<=B;N-YG&kZXFS?2^=?P&{@Z1< zCVC?+tqC9KU!F2AHdRqDZ$IC8y8XLqPa)E=Xi}zTA@;C#+~~&MM18-n4-a?n%rBQ= zH_!(b612a^x=lpoqX^uVA3?0?3?eEVJAL|8kAY(lV8r6x+>%?<$^g;jtqkl9n$4{- z0t#PU099A6RPWc4x%T9f!H!nJ_Heo55gf${3cSBA2Dt+6`>hSv%!{OS zi`cx%Zue%-+-Ohhb0>v^i3Br$u6Tw0s{=a6JBVmC=c zO_LI9A|EH$${r!59H>Z|LqR5~J zeGg*7*B8{8h3>{0Z}#Eu47%uUd?m|GnuwY3+3tI8jjb?IQC12NkGm}0|1h{J2EaPC?F_3st=_&`SN41Vlq|S zwY?^J2jyoJq-ajNiz#_@WX>+H;;`?bmdB1%7v@SwgWK*@oz@ZCw?e${j&8gB9tw@0 z>1I3ALIme8CDlC0djy?|y~(eQg(g5~UALXKP}?0U4TwT>H~qua%2&A@bwyBrD}%H? zd$n@pDbLt%Kvaj>TGQQTj;mu={Q8ylD%jXM%R9u}IvZ<~ecCNspL3(i=FX4aPaJg& zYo&%xVtp1e)h|fXg^Dfc0a^z!Lyvq03UexGnGOHyW;SEr_Mvoy)kCNqu9&nG-LG_3 z39dKlnRns-hRJ=&K zHgOtr$$1K@*oZV~KGcdH%|lT!a~ve~Ljgo8Pci__jx0-h2+TgyFAdP{XXJay_T$T= ze5+0lXnsuV2PwAd_T7aUg@z+(dM%8N3Ls_sDubiK|pcNR;~PgVkHQzQ_yEFSDz z2FY}n)X+f4V(XGvN{~Qkg;{O^TX^@QG*VgoXvu$wNjU3WMMLp&UD)KsGDVvnQ=7C_ zv{x?uxXGv2A3XvExQYww$w_@5(GhDG%M97-ty^Ju7F_qQoO+fm)i-MUJYJT=3tO?G z_>_nIT6-<6q1b72TwKYfr`~lx+juq)H%YEbG z@OkwD`b)3k9HK1`Pi(cNVNdM_*9yr-KmDqd_@54rsK<||#j105U5br-Sk?Z`KmpLO$h-&D`O z#`b}^d*^WtZJ-1HWJLhlBGP`Q%kmGvyXTWwqUH9gk9^vdD-pN~?1+Q?lv@b|W1A}g zJ1s&HU#G-i0HT4cMVVsr+ukDQ*h?D8?k(g(w`|+jNmmp^gg02U6rN<`MqO0NQ01c<8pK!*b&{=6jne#kB}ffwOUx9 zA~v6dSVAlCfg?>?Botv_K{~>00U10Q@W42kS)kC~Fxx~>U7WMrN**RhFjlra?b;5T_5l(7^V6?% z#m8K<+_E{{JRd6eSWb>OvHn}#nnKnYlct$!n!dV?vB4@U9l)gsk?UTw*yp1(dT+}y3D zJ91H&OYFXHzvAOeR-^=w5NL`uq`I5-V$0iv{A#o0{^q4wmjtX>TC6V&TQq{lI6$$Y z2}G?dKg!pv3_->EuHhfBDrGZim2+p9fTOJ$H26vFJa6${vI6s85Yi&(g$XhTX$MetbcBJ zlh1o*UQT*cwV0ZAeSOu^yLj1Vk{GNSPT&Lj%4lS^8+a^i+T8Zq{gl38^jq}Wq-s?B zkV&?>g@GHhhqLjLO*4NxD&je5+{^5g`|L##pU2 z3~m2#&3u1z$kW7cuy`1Z!tQ5n9w4;~b}hP_12S(1YTcoJheXq7+OB3pn7&qseV#xw zUbL6|0nvb$iMNk5n*ySsx`A!M@r#JvdST$QAJ1LRQ#oMSBl`Jt838ZBs3zuk7Fl;UXV@}#UKcXg-Z9r%7x&da<(9Be_J^V;o__h z?0+ZLBD2xg$6a(6%95%>yQFPw(Ykeq`PCB|Mr~Oah!=t#RqKr~(-%g#XL>U?BV_ea zRl0}Z(ygUKybYKo$BKr^?gLF5RYrBMRo9X~I{thg$goD=h4+zj{X&zB~<9NWMhm((ylEGR%I)dM%$FjfzR)aGH|6GhiY+#j-suu zJIJl;lw@b=Jp1}ULV4jKlg(i-n}ik4Ju z(Rd4Y!g#>>>M4CCONQeSHp-+n)@7FrxxGQI(Cb5Aa>nbgFpu8(EL1%g;nCb2DzFaG zl}h0~dbrV5VZl(?-!a*=labjeqZ2M4hh#4bSBIuk?4l_8k=*!o)l9Ose?pm*G#6GY* zjGDdB73(d5R%Yu(q{j6(Q`_UBfys?zs3X6x)+0&zDXmPtu3Et5|qKO2~67w&wZas%aanUV}Y7Yjs3 zei10R0TPbNYeIK*fQ*h1o|k82c|Cwcq+9dSA)?1vG6t%LNi;2l&%h?HM2xo_8LciD zT{l?00m2~G;!J9}Ukrd8<{YhECCcBJFmL>0F#-_a>aTT7-FW2Gn<_1~Dzl7ptLqc1N*O~K9!l?k^zy_g$Q1@fzj?Vk46zT` z?R>?`@-sMDbNwuG%BApBtxrTRf=61i+@omC#K{^YfB|=|bJHNBa@Rm^54nRGh|7f6 z86}6i+9X&CJC_n4vAzIEqWh@_RGyA{DJ31!vw(s!(oKpOPY5j_XqmJ8G4#mxkIuF_ zFzD-Wf0)#Ua7~?$yFT;t7`QU(V4H>%v?p_n2GTcE))GO3@%@0zouJuqqAauh0|M4P z7sXQOcn|y~Xvk(knr?6X;g}}HI;^}Paf}yjq>9^2dRdQ^8hX@Y9K<#vvlq$=%VO6& zluQfu{yD@dOcWd}_dBtWMvgX za$_wJ;`>=nS&7ZVG;E5OVB}B2)O|&?+#8;~rscH2J4)5{{0-uDfw&69h=1atJPYIv z=LAIFyW6wMcOI;u@#-9R%^=iR99Y2ixF@_0M~IQk&RwckYh%|pzF*sHD%wSJMFsmc zz*t9{QA}{#4eDp{#n^2hCVS`x%DA{ulyz}_yeKEtH?9FCH*5# zIUM+`v3Fy_Wn?92dBD&v>KPWmk!%kGSheCpEV>6}B)<^iMqKmBlBIj?R@U=A3#V-k z)*VSdxRW-xM%Ob}g`5@QsLSlJ^td@1{!?{QKdq5G3@3{4P}GXyi&fiuIj`v#KKvwc3PG>-^Z#d?f9zsh7fD%c7jy!`q>%PJ=~fPb{ys?5_}dSwpwtvkV@ z5vyIEk??vr{Njv!mL+T5bc~bM59{kRH{2-)z`7!f=x)3m#B@niX8FZr;NsP-5~ zqY}kp(LHa+9fNo{&v{Tj4eJWI=3E>)D~3X|ntSYH6Ed&3(Bxtmfu_fw&LzniFmaJy zVuot@1l3}PPFZo0wP@_r(Bd&$b)P8Ew&Z8IAIj zWXT~4w;PC-(z3GRet5+t7VsX0L#SQc)&xtB3zdliA|w+wlgEPFH6)zd*wdRuNZyx*JLm91r2Z>J50zzQ8RNs(}a82eLMvUuWYfEi<#`o#pR)z&HVV)epvBl=szR?%cves(CQ}10T`?4>{t1Q z+T(gJYAbCR-7&A=;TZRQ+g|%I5VYxWUH_&jk#9L>N&ZpD*XYyz{uxv+%cTsria95W zv?u%xCchcJPJgNO$<|{0F-))Fq!$>4GhyU%?wy-yqHBhLw`UxkXi-}AOo$4Piyh0xvQ_`?XiaE z7LcCUu=&U7R$mno-vF?jsP`B;w!XCT)HPT{V=VR@JYlwJ=Tw}l7fgM05c*(>_oN7l z_e@TGOdcSjvtB#kUl?riNS_mK9l?@hon^f?RtU+ z<;=`R^TJcJTf1v`l32J%{WN$djlPAa$WZ+LSMz&gU#Rx9A+;;)73`SLDOi z^%5O+8U{{V2EOnSqHYnfP3EKJhPpkNwKo^MrJhiC)viPg(SP>$fiHZ7*jq%S)Ab8a zn>Gwp8OQa`JehU*7WR17rBvQIRjs&;?VP`5*KVpz$JKl#;{NmuZwLfF?I{n}Lva~n z>AtHEa~|Wzi8|wvMxP+mXRg?LBTrJnzpL8WF=*-$fa#tlj6|T0wE)-O+E0htDPvpe zY;WoU7CHy4p8hEbyhRY! z8@AumGpL=rvWk154sO{Ac3TzMAU#JSH{LAzTG^V>cl^k96$I52P%Y2VlG11maD{gsl_cq~+k3FB*(zFyeZWuSj$;x||M+ z6^5f{cMgfDeFMI52t`Q~CoajI+2+V-EPGo{MW>&@ms9gSr$GV_UxYKJ>6(OrzemF- z8i3k3psfG7Jl0EQq&ya*7Ru#p-`f2{t+*gW57)eU6le;X#M25_*{djKv~8g@X#w@_ zBBAee8aRFvUxZ80&)y|WvNq+bT2{OCg-%vpXwhk>mfGaIw+UT91F*8GTG2AT|Co9r ztGxPLf_ls&m4kWhn3@5Q+mdbHdnQaAm`0U5e#ir>YWJKX%YleTNJ&2tUiy3gC-y)H)DrjuSW#5rSBw&TZkoyQeC6g>3P!CbZ~xYbr_$ zb*@7f6LA_6mn^HEoLH9Nja)E3E*4JxVK?oyiCbH}EWGnDU z)}HI>ljy;4eWUHc)X2WB<0O6O;L;-Asi0zirk@b`bG%4D$4lqW@yfI&jJpKr=7gO` z#w!9DFM&VD>qgnrK8~I5IFF~MsSN{OE(q+^gRK=5zNiz+--Jkb<}DeZX6=GYywc#pYUp z?xV}B|qr1;U7`o^J4mH$Uy;Z2{JeK8BxO7HH8~-LLRHI@6t}Z0`<6AQ3)5SJd zvDq0%AR!A6RJdNE_U7j5z_VwDzAS;RO&stz`kC!N9C^JN=hS_EQn^XkydtLAwyT=4 zz+hIa%*L|WaiC3@s}2@ajoee!oL&wJsxd~+31r(M{y-KRSNG4wR?DsLTsCkg96cT| z>$3WB99e9ETrV;6djnK+l8WVMlT|M$D5rRDurXh zElmhH90y1;JJuB-s*rO*sFkYp&Grd}pm?PPTTG)M;7N)F$z{lxbDN@(bbnHKPK|kkzzr z$u?p~;*g)f?x%bSQkwlZd!VKXl=M3UxWO6awMl>yXD76tbwWL6Xn7_W>D|7ub=1A{ zDNoMbuJd>LU+FzUU~of&);zrOo6FM(#%^nFr7J{_M=dLH-;nAe3dc9@S1H~~eF<|} zBt*4%OEx4Q?tN0Asd#$|{>d5$wj7{1wz^?hwz?tSVo-G!&Sh;@>;Q2@aLE>N1>dd za9PZeh~qmGmb1g0bl;kjgbi_EO}5^ID3`RL+GYw-`$zbv_%Z0x9-*=$uT(gYS3F)W z9fRLq{;$6+k0u&@YJUTYcrTN@eKFue_;qDA?Z-yfZj{k^<(SS<8g*5RGVVv&C8pe4*ndP&Zb zR{et(`G%US$!wQT{?XyS=Ax1;YU`b1@(_tLsu(n(RFS{<>qj}2`HBbMQ7G+TkV)X9 zq`OIiR)JP(o~+xOa>)6r2!JB(KuV5b1rF-EQNVa0#Q=LH0 z3u*Oz9j&T4}yi@Gl$Onb7ViV$tsj~|=1Pyt>zw$hp|aj3H| zBB3@tZ~N!%@_e#!fp5UbT%&gfa*CM9;O5v>7$^)p%2vZ=u4dOMsTFgP2%N&^uc?v$ z&p=spLQIaBla;T?_JDACpAMx@IfF_l!YUVpR&(o-iX`^;il6X!uD!s0?i1L-XJnrO4`Q$)VFP*Ofr9Q5BD{1 z2m*2fU&O@jhrtu8(9l5kBFGGHT_}@EsDyd!K<3Ro%5>irvP1H>l$6SFWMgm6{7^Tf z-{i6$fuVTtwOLI5m&GL96ftm~#mE7n)@2 zJySaP4h|H)i&Ghr!qET2PkUBrnZ*zKdk26T{HX7N1pN(a`UGo6?z+YClTt*!h*Py# z25$I9BXAt)7RK$jBWIWWq0gzfv&qGZm2nk6LGhA|V}dRLx&-U99tKp0Ic6KX52xSs zk=*{?xjaK?Zix{Qyl{WURmE#B^z}w%FB1Uw)< z`}5Sf(mqsX6tc5HqwZkThqE9<#7TOcp_A9Lo0DYj@}_s77e2OE;~XL-dz#}-(ItUf z!WwtrXGg`@=ai6dK5!CMp6pX84wYnIz8YD{rGGtPWH;SQCNUT5yVYHE85@U?9$rOA zPo*Oog;a|U(T^c6mSj@_6cNltKRJPEk<;|2+SRvHyLl{IapvIMV)bKV_IzjJwY|yX zH>p0rIMs*UDRZDru#O-dF}*)Ztx`OC>owx%{48ci&*0cOqM8-lf&A>fyi1M9trVEa zr<{=@D*d>p;>Yi%Ui?_9c3=ATTgVEDIBYz2Bg3jUFHskau@oy@$Sojba2I#U)@by~ zd7V6V7xH`X*N%h+h}tW#u&Wm^ovA^HzJ?VsKgCw`6ztn7#mQ!oM)UCS4wAle_h0TX z7rXUv8Wby}zQTlJXb^TPeBo-IyZrBn4I1i#O@2 z$t`fqVh|G@Y%)p!%1b?n%^J+w!8k*B^Xr6QrBM*xwYD z91T9{Mg;@%D1$%yD7>pMJG#beky0WNn7)zyVo3_Hx#b`3b)U_~)I0zI5$82+#UT8{ zQ~P`z7+@5aKAH|W!ksxz^XJCE8z1*v?seULm{WUaPSv>kSnq--Je#L<%Xw|&K3GLo z#p01mZ?LzxIw3~9XLvi(RZo#zKO-AX^wojCHXM2Pc%sPe5h{2+oUau`;59XWO@G~P z5BF#PQfCh+(B0JXM%(7cS!X-J&r%%E^@f_k$2Yp?7kxUy*^{qGo1CKlu$LC30}|f= zQ&s^8c8iGElPpBQoiibw}Yq8!nJd{^Q{J z=T!aAL;wG)Q&r`BP!z|n*hWRr2ao4o0`2B#Hte^zEm4B?h0qaQ2smU{rgmjK1EB4K zkbe|>oP__U2r?!LApY5Uizi#7pe0ZE->1El_0IXdrs}WR;m0bUC~7^PYJVbHOv1tG z^Nj+?`Bm$nDC5O*?)8VG69@_j+>Ry1cA-x|&=!Qc*U-smOmP&VzwO!i=?X$E=&W#E zIOkjKwfRt~UGLdG8Ae2f1bha6m^PDv6Ee9eLAjUyv^De$yMfv!l7Vk<%?GbN%;mH1}t5=}`prHCLe5wE>llt9G|1z#m z;d`@no6PdZ{9bf>dHK+Xt=rDypI)=B`AuJL8_Un%O?6nS`|IgT@SMASpqad-TaVgi z1G=L4k@hgvJbooLOeS+x*V229TCpMR(^32;(hS%5rJ{>=(4u690qW)lFgX_Z z0-jTAV7J+!fVvT%bYKp&>-P4nB|EfCIE;Vi4=9F(#7{lh79g=CBr&{wn<8ilF zVE0MNDL?)f504``jg1dz_eFv9(wNcXGAfN{Z$RYd$Z_Un3rDadUkPTo@*SGrP7rc} zXqgY#d|#;97WUgq1ErQiP&Np%&~H*mM5r< zRFDFRi5IBS`Ij?yf*s7V{g+IG7U_nuc~?T1JU}*vYK#`5aplMB$nzZ9Ddgn_U0Gu~ zzPeNz54~|;pcrPMWq}jMpmG2yCrKvYj86cPC;|+Wg75&b&rne-Zhd)!w+2`+$5t#$ zfUk-}kQGgBLm`x^An02;emEj~Ovq7M`d{HWyA|9>D1*623O5XP2J7+F{V@9JQIKVH zw}ccSX@Mi8;nC35)VGIcSSmq{64I!Wj;xjW0TKv-w8xe}7F_Y({}58H;*>fTeh8?Q zj(~GTL#nuG!SihmDbIOD0*Y=McLSOaO(ebz?@|xd3({pWr}%B{ZPN~8pCvup1NYNu z_pZ>K)|!^(-)!e=<8Ij!X#&p{-|LYpL7ilC@{aB4 zc3)tH@ZMT_-n0O3XwlQ7)uLH;YmA_!wv^z{Tr-U2g>?OLWAG(lLp!-Ub08RCVkQ~- z6B0YCXfO5N-j&=JXkrD3ph>8slKLBC+r}TT#fU`6-?7MuGX~mr&JrWrQ#ZagoKW-B ziGRI36!ON3+1LDt9D`i_H10wS2LYPZYu7JjYvD^)xSDX3^6s6&qaoaG(xB^hq!gB0 zAnvMx*9rmseG4z+3}jOaj3vCxOVH_jv)jqicf){*|F*Z_40awUJjLz8uF@96K=u?4 zxw81!^@Y{PB>%Fp7xHr#Dc2BVcvjGa5j1(Xo2dn_og1eMJq2Wm7^E5pAb0gj&E~wA zAauP6g8s!%0Do8-dNmb+wu`B8LOpeca^qUI`qX38iz=WI-nhy}?tv5<9UX#fans<` zOhjd7QxCj47-JQ$*=Y?v@D?CgedFz}apzD)VF4fl^Mn3d5fSQ=i#8sgUda_JR}cFl zC^LeXv_gB74ePz(owKGgI6FPM|i1kF}9FaoU6Y+(TiHZ`S# z82)yDAl(}cYMrlGutBuO*XdE^>OxB|-{BUzmOU1#dMa1C^-mOL$Vc!^M4ATM-`Kwq zNG%K{hHhq$xz}zbDWizCS(JIWZrxUzp8tvV2&WdPA-Ry4r$OoSHoSVvOP5nuv<>WK zNP&56X9zk5Hf7@uHu-ez=f~xHGH!noy5=Q<@4o_U9t-eGUHz`+t>M;FRs=;u(o&{= ziOpLAEsOSHu?)wL6{ghRX8T?(NrQs;78H10j)6Wcw{Ntfv096Fj@L1dHZP`BqP1L1t@(2r6x=c??d)p_D65HGqcoE zn$2VGgP37pzgntoaTW$a6cd{*eFb!zXEp_|mUWEBK8YIEnsSHIYFxqNO{8rS$`H_L z-M8K@x$UXRVHYMegnqVKA8iAeA6z-(68}jHfoBLr_zb zH-%OJuPcJNk%+T*N_6_Rc#$o#^C;D>=w(f6l4rxY}Or0!AIj-u~ zu-hOr2RytR7N(&f*G8_36>%7AzypO)1{)H}=mkPFc{5O1NN=jFI#G_0^y~YAU86z$ z$8M^4M4_cW?*TSGII~GA6+q`!y22Jjk1lK<_akiXCF8-*3hWs(QI>Iy>*6W*uwFo1 zN?iXAWM1pzmqFG}dQ!~I7+7?fpxZlwS0FbvRHEYwD%S*Qb%G4)qn{G|ns{1p#0 z-SCF7@xw0Ia?S582oPBFBhVba6$)&fN&QcgjB9=Yn5v%F=_c?$b8Qte6aYR7b2Dh9 z2TYjru*e(tyqH7ldbv}>QZtoH)m4AcC;f^UEoiXKT#i5NL*L4O}r)#o~`J zg}tMA;OvE!88~c#i{S61EK>g0R>rJ->HrQvU@q3|P`|m2vOoHNPLTOr~L6d1k3!LVp53)N~D9pYpfD zGL*}1!={_7kV>o@9?L(r<{}+ic0_naP-Sa8Lo!G~F|*@}8Oo%rlVBUMv7lDtf8p^= zh``eD;OgdNj?Nn?jxUyoEaN5%@GgqH9{Fd(tXK_VG?;)g)Bb_ID~)N`V~7|`s8#nT z>+Gri_w7DySG>MP({BAFi&|U`mV%HbqtmqeYU>^*>)VIK=J*RB zc*cPut%$Wibeh7j*7-waON2|&8#lXZ6cpuM%U#)N(;Xuki(*`34c^btoLApl8Kx1=r?oXByl!ThfGg;If3FHLVLPtEhR^>tEYc_u#eWW8FhLFBTtT~7NgB; z)RW!n#=Nd&NE}L>HsPXubHLE3^&ApPlsw(25`$ArIzs#Y{kJc9Xqq0OjG)`jQB!hj zITVwm)+&VkTFdyh^#g1BZk|jiJ+PMF$A1prhy7NZf+cjt8&|onNcS9v9v)jaOS7qt z#KdMAs5|MNe%;Qco~kj9x1WC5nXXJY(9$ED(Dr$F10QzTe&j=krx?*6CO3(hH2CVWoMdM%`T9D^#@kp5%L!6r-MBp3dY5D0<*$dUE57hR%aV z`qbA?ACM5c#B+l38NOARly%Fi;>BO!Ca_!(QVfi_MUTV?wnM{SvSBM>EqB+NpV7gG zM>uJA;*Rl#jD9czeOeakvGPB_x(KV8S{JmCn7_2c(1*>IJ7R}P@{J%oqL93hQ}KRg ze@A2dn)=qD{{XX4(AW9Ud9;avD zKiebabwnv%VxS~TFp0yI-r8|>VEqbk++t<=+YQ_rx^kQ%kCQm16Mf}@)V>3UXDWdDHj4)h<45z!qwxz%#@id(S_z~^?bKCc0wR_e=60=! zTivuHu0Bf7v289(nNsh4^?7wiLA0*oW9q}*4mi~cu-nnzz$+97< z+1d>UO$6F&(+D>rQ^9&4deaf>PsP5V>tJEN#HS@n#;J=(LaSM*410F0%1dMg7O^wkCFu6 zr=c8*7l4N#02{^AD=z*oO)=##cF_AD4S~Yhv(G8AO}K2DB^#} z3o53app+D}#YQ8VyJo0c56K*zzX}&VF|fFC4MT>$qgXrDub;8}lU8&h5Ce?F8zZ6Y zF*k|}r|2oZ#^>{mRGcn$ohx`uy&yM5CVdpa#OmwLCPzieB{dp~rlp@rM^`cW8hXs!9 zU~Gg{FadO9IGo~K@1#D_UATMleUt?2HFP~!@A0%c!!C(1HSZ1|wX!RpAJER#Kua1YDs-(V)|mHGrcv^=|pxJ@?263wNmSX9pqGx1-Vke@w{8aS3Z@T zN$oBXqtG2DuiI-Ch7vhCKjcM7Lc9@^gP=xaNfvoZI}i%8)o-J_d-iWHZeYN`5yNjR z@}zvNsl+H}9T_4W{hukKGsguQpG5}9bqDK1s$_Tg96h2!8;JzscLiS}?VFhD3r`GN z8F#cSZ)=X`HfpM$$4_YGIKQ}?s;nqJCU3v%fof4WogH2YAPK!JLJ|Z*MGhaN%l|ka z51b^M-mxqz>dKjKyPFlc_E1%c<>Im+M|!lCHjTQl3c>}iTW>t1bhy7szO)3b%KpOF zGT8~x zim|gU)B4Z@&#eKwMxiQrpU(@DQS#%|?$>RyypQ7t!p;kU)S%Pz+lu9Ibc;BZ z%_s$uJ|NOUnVa;_XDOE^&K)DrWeE7+{#N`+<#rAdCQS)`THg?y11}v-teZ zzuH#Q(O>S>u!|olM%=^2PVMce>ZRjl!Wyy84w&F2{{Qu{<1+b@qE(67)hy2<7~^#>_! z91=EqbO~gc+kHDmiI(v!Xg7wxATyt3*sXOcP20C_m-0fS%?MF9t9?DpuJ92of8Rrq zuv1drc@Dv6M8IS2=wX%HDbVXU0W?qErok}}#|ujFRx-rbCv7zpACAeZN}~LBzC*S` zCv_CHR;v~RPlj9FD|G;8MImZXAQEx7V7eE=bXuMN z{JAYaqUOyA?&`w=_arjbPYKa`f=*`C?Vzr_RQaN}r*R4nu35o*lG<1n<`rT^31Tyc zdQMB}L{BDdOsIq=17CCjG@q|lz#u%$-0#}hoKT5_!+pvs;bm7fO-pF_J54;xy7k7NG;0>oTn)Z~pb z;KI}R8qB_Yf2FEu{NR@d%*PhFT#OA)xjZzkZ(B@ zBA>bTXeM)?BglB$f%xr36WcdGAgi+I%`-8nI4;VIFV0yjt%2s$8$$Gc)1Ycl;MGRy z=clK1H6@SklHKuQn+yeY^_+DZ>d`o3|FK37h00m_Sp%mHJHl7Z&csUtPN4^H@qF6^ zd@>4}+d3+k=JPgg1$NE_S5WNw3nhGpLf}!!@BK6nqX8!&zXQZgt{Tub_(yIae@#A+ z3bakq{GjOY}U%2s$We=>8SKSR~+5HJ6eg<1GPJ zUXU*MU|vI0<6TTZvY-`Id#-Kbx&+$Re5JDv6de9*i+v>xQ0f?s;F{mZR3zE?jJ10$ z^T)NH=gmzw6JirU+d6LbFPVXtxsPhfqyUw!aY@L!x8uQzZknD6lo9StSrB#)LR>~K zntPNZ4k;TvIUCo|^wgIT%qEoX2Jus}7x&)TKO~BJcqS|L+2F;%nOP-87yNy>mC!V) zM(}Ym_q&T?5X_>H9Aac}8-p%dnyrUm#Bn0Ze?>ndRc4K3D=B#Y$M-B}!g4BVi68^( zvP!x}>unT(6n%(_apF$afsUzfh!R+0eKN=^71vy~9HsVsm;yI=**ag9_XZ{Iom!+x zuS1Fi8BoGt&$m+M5?NaDP1{OhWDRl_{gOfDTz<24jUUpriV$8~k(LCs9JKjuJ>Sek z%jFSud9&V(Kzjmn8LQymaZLh1bXT9_0F^st1L=wY%(#dk=~M^FyL0nbD+S>9Ag*@s7QYMCcIz}>A8$H_znbn@@ePZoai&+RJmiXu%mRn>aCZB z1dy!9%LT(kY- zxsS8ZK0NM0pDbZnoqY*xr3&AJB15VO=%)m=`R6%-{KawGZRQL6;pW>f`Kk>X2-tS+ zRb`&F`M$2qthr}QfO{r5?Or~mx${vvPIi4&qbPAXK_U`><4cYmSN9U%Xd^T)D2>hN zU#FSlNzn=o6%cCA*t>y0n6^VJhP@jS81ycWHsQ*6CQRXTq~E&$Ws0{_qNFGEkCe~m zpwVaA;>1Z6c(F=^sg1OCvg9`VAh0q5l30M~qHaYZ?z!p~|87RazR(IFXgi1O;7l%E zO8y#vfIAj6536j0#mP#?`r9X>Gr`}u< zcRzL{Y;k3PvB-!^N&BFvc*E1q>kiPT+5+`BgHda`S%ZGiv9Wecgc8_Sa&k@(erFcr z&TixTUda8U^8?-VjL&*?fDKZGLYu#@F#@ zu&KjwO!?6cA*xRMn8q^@F+6``l@@E!2PSsew%QmjAq*ol8!qkHJ4?v4jBe;R3sp?g z;v!8$9^r8}s3!eDcIn8|i8?0RKpZA5b6*fA&lbN{>+AI4VW`)dbv>|DL_MD9FQc&J zZb%46h`(1W2)<}_h(tA~0q6kHMIc3#$uv-E zFXmQn;Kgl0G=}8_bC)~HrK&Fp2I6Z-Hk$kk0`oX^{baD85S{;-E~I|Zc5G&9>r}ioIB0c zy98<>eSJCpS=ue;h!_A!>#36}&7Ip=$RsE#TO(E^$tO@I)1YukO%AwVO$4l*hh*tFJG|w-U@mP5TY) zBhZ7DWnd(e!0R`Eeb3)J8U+O1=MJB{V?V$5)a@&wWo*m0&Gx`okFgV@SbqISn{TaY zQ#En`;BFEx9)sHGt?LO8Y$Ju0jPAj^0|*bc`t489=O6*4<}JU~oFVt=mQt0+TJe_O z%GAgAQ#ZsSwRFwtJ7IDOLV2yATMtcX`6zf+b_i)#MKX!5(;2v&C$~@z8bzrZ1^nDo zbVW88MeSBO!fB1pLZoG1b@(!O#y&-%*voE>@;VuxVpsJ(e^rsLvJM}_A4KDP!mJ;S{sxF!Cemitwjlv0GD z%gPu|S}9{|S!mdT8sECS+_$4}usT4-Tj|MPlusGna4|r0kbFmT_3IxHet3KH@MHQe zCjThZFqLZ!z^|(k3iY7YH(>thLW0D54fHJ3KZ{x=@WSdqen7`;LAit^7}K zKi)8%JV}5T5L8= z5Ha||>u?Zq6nV?9SCB1y3~Tpw{f){7oQ$apk)fu)em_yFe}@URRl|i}Dd11$ipocb zWwn++pK+wp&EJ;XB-F_>h2U$p1{aJ)B+)AB^gJ4Lt0B-OYdbZu~4{9N&YFd;HIAT5qW$%JB52 zSE$_9-yYfg4}RBq17reQkkOELAbgB4q1b)@@sVMFK%QvMEbHJS^$FOv2w&hoe&av? z`7#gk=U4yiKeB%X4s=z~`RvwCff6Uq1K+JV<0A zC+UBAj)VvBx&I8{-}KCX4gWs__}^#PKQr)ObL8K?`)3LNwx9jJ+x@c#{`Zw6_5Y(o zWG3uO^=tI6<5?<+0S0R~{6{tY0(}vSlq{y`FdR{L%eC zVG5qxeRB(*b+aGJ({lA1=Um=XE zbG*a#f0;qQRvfo9gc&l-H!k@6U+(L#h)(JXeD2p69qRw{mVQ41eV!hMFzCpm=L-KN z68wDx4lBdwUO5~78`bmIE&V7U{I&(ZvUKYTNq*ZCU$nk;9|bwFo$f!$|m zR~ita!koBdGZ&m@o&e5`6W~MPP#^|m$j)+Sv}?@&`R`Dfu4hr|eDmQ6?f=u>m&QZg_xnedQldzyNJUb%Xb4#= zQbv}s6Dr$SM%gF3N?oP8tQp&secu|g4bp}z#n>5@T})x@%m4G!b)R#e`*ok|e;%BN zr$=5HGxJ@3-{te(nt=1sC)$#r(8*`}@5Xq`i-1R>TegUmYF<#qK=t7&Tzni`2)NCu zks%NS2tyor*7ia!VVy5{?(L0~E(-qlvo%Uwh5gNCzOrIu)%ezH z8v+wh#RK67%UX(ASfqdHiofNtX3P;(&bSj@qtAJ{hM_c+3lCg0G0vUz>N zp7;qgl9k|)E24!L*h@c7AYY-087YX(_j_4-oyT9QK={eucf$XVvzY@TF#;xng$mw? zUK@-oGu^#p-X|hng0^&ukt`4s9~Yi^gb7zkjT*izFEf-{#01nY#bV&=59LidL5HfF$b>T&+_!?`(_#P^I@q#WDnOPjBH$MqU&ho4|Yruo-G zXgjVLv423^G7#?(TOi=w8a@5{ZmNP*oXXshAdP=~tG|9KWCAtsZb!M_pjHOCM&q#G zP+ld#$D4>dpWW|S6r=`g1JBEMMVo(K$ON)=T$)zwbtsN2tnhr_GzWWOa=X4y%uE7! z|9J~QuqS}ibQife+QPHjm>P>ag7QIuIKH>f0O&NIfKz&%ngf0){$ztkO4V6e4O)rk zx>q4#qXc)J-ksb$9MMn_!NB(v$fJGy5kLX!p5GCPS>FJeH9{fY&sSmFMCf+T2VP^d z(d@(j+OTJVHJ~^6>XHiJ-?Zdk01o#_xE$-8j@}fcZVDB2C9gU>Rh*YZIIDb#V2D%( z^P>qILY&~eZPMj7NcNxK90G)JBvN1dG}N0brMvyJd?KOZ{kacnwIfidoNa2uW2G)q zKNnb^r&jtNV`Cct7xxjMq07KmxYhBEt!4_y%p-tnlafq!cppDe&{5%qQy7MZ&3!tp zj&pS(Q4FVFLF{pFuC_RS87t^@Z73-EXoARkMrsQN&z7ckcdfNOULK%W&B*T*LzPzb^t zFABas0L5RR0etwO%*@8h!T)1A#!HSJ5ZvBMcm!+fJW}SQ$GZsW_;DgIU(^{qDKEtY zGdqfc7ZLe=?!D~Ex4^r!cWfN#ebS7IG7@4QNwBJ%*BAu^I>6cTfev~M)}{l@9d+T? z)E0rU^g}Lp@*6^AG_>%b6kP0g(52=w&sCLooUBg;vSb?6G(9WxHri0?om;BBiKcZu z5|sS|;L0#F(p^DosK#Cm0AjqSLUwKmLD2=C?L0-E0UI}VVGnaN%I zG1vjE=Y1x@3L^7|hggGf)Fl2iM6*bP;OLGxM6u+(?|h^-OLWYbmw4`;+o~)?qoZCQ z`o1l)hq{;V&y-iqXUMdmG{9&nSLOhbUb-9^j z*jCm1Q~ZPE?^VPa%0G3O=ZFYKK<8NvQf7t75@l(x>AuRzaRxjB5yDeqx77^^S{n<~ zc0G^h1g~6;IKV?>M?-EfiyM6Z2}{Thm!qSvgKwER72ZSqaQvRfxP3j)j7gtC9Djb~ zB9R6Jk*?_c*bc;1;|IXIe+E@#NEirQsO6y8_JNDpOP=C3gB!O2?=MEb95I)a)|V~Z zXYLxr&UjXJ*mqL0dWIRPb({4r0>XS|K$e&g4_y5DlKJe0n|UcUdcYHT+`O9>vO709 z^cY?;KZe;8(DRQ?8HTg4lDUj#tLI#E*HIS7zfdLlR%w!+fJVy6vc^oc5=n)wgvmE> zaq4IFI$gr7&ai3vz7Wkzd2ujg1RRl1!<;Qd!YGQHC8`8mftMNw8@Zy?CEj^HO|FL@ZyU1-g>clSYmb8cep0fHTB7Yp_JhvOL>*olT}@*CM+J?H0H_6> z4e-RaI(Mt~Qs_8XMoV*f&q~}LULg~PRK+w7L6nh+Wg(zuA`|DW!Fp%*|mgWc(s{t39qtp^|nl}j^$Inox39{hm*&Gj1CM6@p zSso<0!x2e5HLK7eEw>-a#71~W@YiG?x5!H|4XGU@E+51^Q&~x2wL<7+SyAbs3);>{ zob}NO(_l3Cf`d#SNh`??sO@nDao4R;2Y>Qlk{20!MZ_w@G^+fo{Z?8g zuo-34;ar@DouTwPR2jCeuZ=2ioR+AX3txgo!dYyq;+WC1mN-nW4#y!6ecq_KL49-* zOU&ovCq0QEsC$HCwHgxc1`>{Rc&L$r>w-h};NdtC#xI)Pr!JHbnkABa z{4NNSa+4kK1up~37#*{i4+)PeP=2^dp3U$um^5aJ;(sIy>jDb;zrC)KCdsTe&*c8I;63Sd-&QjYxWCuwK5Cf!<9zYX9PT7}^ES-9(t zO`k{t(Z;JLbSN_`DV)D~0-v$((p;-(maX2N-e1!<3mYOA6!zzxV^~}3s57_N7hJ14 zY)JZ(UZK%cJh{Ak6wj%lDIqn6%gY~@h3C*>z+fM`nj1FyA`p!0nyE{Ev3C&c1G`-hxR&u|$9JW2iM`x`(b>l8G=e~cl zxz#xE*n_;KW2-n?|8Ov(#o%db&(wDgaJS|Np`1xzWEm*sPhij3ULkH#zMn2MCWx|5 zw|(^{yd>Xtt&$_(;MgbtQ>XEhQlgpfTcLXGQps0k2`a^rc(>;5W_{ZFXeGrIuW&4r zy(xxmRu8Sh%tlun5J)X%SNz!vevp2CQVnXT{FmXuS&-uviYs{%%2G;hMZWmw~hz=_q&m&MR3$?q4*8@38~}qy9XlM+G!0_z_Hcc^-|UwClD7W93aG4xQDMIAPyyHRHcp2Rdt$%*i{XsCFlO{>8q}iMQBnaCpRA z#ao~Hn%K0f7IpkSL%S6;N#XQTN?c{<4oXqSBks#sZ4-&rF&hC3iEBQ?d#R+WD=Ad# zM$zKOUT)K_dwg0+W~2jAm>oSnZ;3Jd@yCl0?S{g0E%3T<>j zS4~vqx8tc|XqCUv2ZH@41oZeGIaETzqj>M^*N7XZHW< z*~K{#-vbc5)0E^eCdfl^rxy%onbFkgD2>se^5B&$-O+P%MuV4nZ(*5EzD^09Vw1#2 zG~1zc#}!#I5eDeJcOn*ER7hK_CC<~RR9;dN+p}@`ukF#EwiDJbgYPx3J1oQO#9F$z zGA7_%X-r-5^f})7{w(Vh8VC6-@j!VNdel69E?Bid#tleLSh7J=-bs`WAwWcm3&lY@E^GsCylRmP%6( zZR7z>E=k&BuYmi!8oFmvXa_wgx0+XZ^=F8m&!^b@eO>XU_p@~Ks1N=+dS@L|;Yz0H z-r(C@7L!y!x$P__Kz&>DfbhqTtiA!mr8+f-bnphU;ob3{d_VX;P^!Jse@574y zyV8TN4fI^XfA2GE6md!*Xtl8?1bZ!g*)AMEc;~w%M_(lgTRBMurW|>25Q2K_sNWXE zxllO-*4iyE_%FzFEXLC@jWq`kVc4_HRjut5DfW8or}fI2x##qLUeyfpR}|RE!iu^| zYQS{FmzL1g0)x9QrGWgkzB0ESx5$9+5FZ7|p90?N<1 zw{4p*Ol75J@r|+X!YWc8w|gmQqQ-+qBcxkaGDjGJr}Av?p?0Y(hjho_2uzzvXV!IL zoD#SD1GZgQWefyC6e@@q_nMLT6HK2&ZGa8lrT;$r!2=d;@hQZV;>0u|5}$LnOhY6& z6yw8)ebTjkR~Aq4@=taa)+k5jnYp+(D-~+he&5WwZfB17q?sOtV?u|nSU*tBE3)qd z94_OM-s+LSN+V0g^CL%_qiZSaZ~_)mv?()|Gf-~E7vAjm=tN=5R3*?p0WCa}ce=s) z5K0E}0K%oszK(E2uI{=)hzLWeb>9CW|8v&3I{jA3MXUabC->>c@sbY)+Z%p~XDcyR zX>!ce@wWqOdl&20C@lV!v8L)43d^S$_w!wdAlf#$A3<8L3tC@0^>3zse zL47SzUQ_i$LFo5pU%!)sBj$FP;ueQD^%al3jL|YaEzGoYDC-F{M0!{c6=gY(2~w74 zW#lHb7W^j^l9#94qT70hnmsV8dh}DKpHjZ3nQ9}Hh$&gUwUUu5cN31)t;2}EpU26c z7X2xc_m-WXTwb0U^7|#6W7$^Te7>D5T~)+<8J6Dmh~?fl)TjpWI?|sCq=NImYn8+j zrWxggoLt4PcQ((C4TdUfp6@jAbpvr7CU$%@`ytl?4(4>8a4%+5z&QHeyj!y0FQq>H z+|-OTttzU1f;C-iw=DD4yVffyp+9O@KV)`~_Oqh8$Jp)d6QKsiY#+RK_+%iLY^Gr} z)+79j2$7grI+DL^S|7tbXGA?YA*(}TiE39)hycmc^yEroEdOe|TuRLT_@Vy$(oIVk zeWEpKcfwMwZD=paar9He^3G^4+yF|SRWJ}zi3L^Vod8G-{GY7K? zrbw(MuOj}{)FVl1NsOicE$YRA<4;M6%O5^B9=(ihK&z^tI1UbJMI9p^kEmMXqk+cGM><`gwDjo-Tz6x|Z7T+g9l_O^jE|o4h?%~Q zc;hci@!;=ExFKM`n7ZtBk@ZMswb+1LT=l8UlLHTL8j9I7(KhyUOCD6++^7W9YN#fv zZ`HJZ+l~pu1TL#ThzLgcwL4voPZ=4RNwo^p;>e_wS{>0u4}j_fH+`~a1TpV^B8+-Q zdy%+sCs_42_^kk-kKF-Y^Z)JH& zX|5muaczV`NnwQ_%a>z=&IgP}-QtV53>yt?zG%u@8svRT0hx7+#it5(uWuVH7t#OW|z>EnjStE%lPdmoUB z?2a%u&kCiNyo{ce;h4@DU0W~z7*c%L_vql>jO^-DJ)xUR$GbZhc*QZqXVjzjT;dQf zL@4fULm-B~k1I=t{ zK*hwhZ18od)15{S*D|#{8$9vam>lP-63siFb=`E};M=)!e5pZ>HOe82{E2%fh6`Ie zsTNPG8c&P+L9g#+jUreXxV>CXx7}}`-X8OU@W;UQN5DCcYxn%aB2CRJ@u7{xAbVaW zi<7Z(MvPp~8@nXUbm7LX*a&5 z6@=nzJ%AUl#wa}C>=SZ=FrAygy_4y!&)M<*lKa`k+O7v5$D{|gg%an<$0b<2SKd9= z-|_jg9+#!|m!&;9-6Nk)4fVNqXiiAG0MX>-CCw#y0faI*z#; zxcolHVJ5mtt<=DteYjw%(}Vxb{6mNF-6!5vpZaq38}89UpZI%R)Ldk^`$)UPABqWO z!kwF!9*-kXJulZ8Re+8OV&l40#Dn&*_lJu6L{79sD^i$^ z5O64Q3G>qJ6$u3^4@asCo@zed^ig_`dCSUA$wihq@K&6061(GhgdyPvDORtUaX@Mr z7|uotrv_|e*fQ6?iS-WLwwU4*dGp7u778isJ1{ZwF+>h=y zgvvbU*gjMo5iG%Xwyi4Z+;^rA*tc5*9CPMa7i!lnhr2Y(C#aw!a``V^Vwf~^=y%C)V;%%@&RUx72!^?*8hN7 zb<7c&X`Y1HX6ZSDnE@4Ml0Wdx>)PB;YcPm7U9Os6U#-V3$fQ}tar8{f!JXU1;~dYu zPAnDqXeFSgnwVjGAens3Ws4xzFD)iNP*x>_V1Em{`w7&=GRn+RCf(qv9_NEI*#I5) z^%zy0TiJlp>SfI{E;ah7>G%}Fop)Ne%3t?y1-mcvQ|1&vcX2v zPqPRQfxwwu2KMz~1aCvJi^7@rttEvD6E2JEt4h3&;QGnZ>A(6*gR4|oC#qX*!}EA) z=en4I8vm-?^_)YSBfZmc85!weoju(ee~q*&fCln=d=cf{w#eMT;E-C=yAU{~+C7rq z$_I5HQdnvIRn%v2^?ju#8?o1Tj%8cO8f#X)F0MH27Fl$E;N#+5jo^0^ya+c@FKOwU zA343wVpVESM8!g-yNO-i8LV`tzn%P!^_Q~L6Zi%C9FKjyK;-ZHs&_!gzp9p0;HQr+ z|D3E*QT&I6<2Y1my{fMSQC#}V%f4H0W!pxEwRk!QLhj4!4xB|K7jQ?mZpTf5P0n!K zzC*fhFWJ=P9e#8bHd|fq{mgQzOsmXlr=WOiiL=@FDGj-1)D%!*OVGc-EC0*9EK;|R zUG(2uRC|56c5)9rT;<40eNmKZ@AJu$5*1Xi&wq zon5d){83KB&a`RX!YU?s_Bg0BmG9W1U)g_s64Mj7ywFBE z_1ryd9CYlwp!!jm1aRRe#p*V62KRHL+_!4$K8L$Ds|f_cUc{)N@7G`rObACXiQ%CR zLB`9{dy3bKi1r_oP}v=0!6l40k0RA}NUe3TYySbz)U>N!?=2bQdYgv&W8jgV!9r{^ zD#T9HKp!#!D9Nt1qg6WJ{WM=fJhXq-mZ97rj6HHSqL-B7#y=}j+gT^!YF)&Aju+*!P%+aq56oX!P*eNM5*)!C4@J`%bcGaPKUKV`oSN@735q{*+T0zF@-A8$TIThE3&% z;d>6llPUG>(mO&GG+F9cn#5BUee!qqOFsypEZT`#*9Cs@!@ukGPtBr3xbpZ_hm~1D?>E9f}c9SXP337GIyVW{tG}C;=ms*IM-w9%)#^n`?d8m z3Hg)RvwHWIZS;uxs7q1q{h#qj-b0fkpxw@5qUZ{M5&HLW4h>c{3zGOWUcxpTp`jG9 zuhr+JV-MgKPO^D!s+|I;uxv-uY{Oh9AODe9yH7BZ(;e#+Jcr_(&Wr*kObmumJ}KTY zFs}@nFO8LY4VGggkENS4-d`)aEVLaNRo=fw6@#tc@zOM?eq^ z(nxg-QL7OO%@nRUvgLbXdD4wN( zmrnu1Nz{&S%XOZnD|fYHb~Iuj#GI845*N1>W+2&v`CXYfVk>(ctOQ^*?fB z+p7ALzRUJo*wEdGu@hzqZi!imiJ7GXrLZ*qJhp9T8q4aoV>0Rh*>MU;stfR5sN8I?w=(-eWl}CMk`+-QZC#V&5vuC>E*#rfWq+ec?j*4KIc z`%`Gb5x<}?Ljku$^*niDyPF3E1zdrgwtP2ehBVreblBTcDni1d9D|D}YByhc$#i?R z;#g{UL=*{<9B0PyK6;Z5hJ7FWvSQf=%70aac5~oqFHNHg zXZRF-dzXok_Vgtd10^GLBX!$>pl$B-J3=?&hP)opq8?z8epU%o>15_1^9!z)O@^FN zLi&Czy5`%rZz}Ii8hoOKwtNVaNxhS(gX7@lRf&a)8prxcuuVz58;PWG4vT8cz;o=9!o2**vLkzg?hYvr~f<*>+_xNAAIf zV^z^K(`9k<*9Cp(BBFMJJjpk}`|JC#gC2uI-6nNn-!(hbib@8m?#QmX`{@X>O2X5( z7SIyKA$TGpL_xxmEP6OE22N#|m_3c2C(N4nU*$yEbP%F%hktK)Et4NR*Wwhju{s`e z<)wCcOI{vrmby;%UCSwX|6KWegle?kkzQNC-6=q6_`tIIK1_PD-cEiJoZ!%WgU#f` zo!`VuZ%&^X_ToB=HfehGX%x<99=2{u`mtAbm6Y~}?~bQ_Eo^>0vxF|O;$>PKIGq;n zt;9JMxJX_Q8I(L!&jUjIdwrtyh~ci6!mXz#qXqh=dP^sZ66@?HN3FWSj#7P>2t(z~Wx?0Wxg}sKSpJl0d+5rg z5i1v)D*{J?YHxC5nJx$UPV1G+l#*WM2zRbDdNHjBl^MqukdHai2K z!qId%rK4@n4Hkt!oQ4724po~+7Cn%Mwf=p*QBwB}QQG+r`_elO4 zHWp-~m&D!BoGlED7F>(yPL`YJHXCb|%NQq%%LA^1p#|BuO#DUcOe-t$=&Ip;+iP)-Y{y$m34>PB>5;tX?ppI5 zxuT9e=aQ0cDc|~b!MP$}V|_-X@%Q5cpZ!liygEUAYyW7m{5X86pzdu$Jt3X>mibp4 z$^L8Q&74{~r%G=g3ahYf#cISjE~Yx!T{aok8Z)oXztX7y(didGW=EPJ0ousJ(=rbi zy~T1w>EWIvky~DnJ95(IVuW1mWN7NE@3kSU*-VZV?UDN}x(`^KI9)D9STa9gblqJE z^=Y|t+lkZi86EfbB!?WkoiD~9q|Q2AVS3%&HFBCHLVP<$B*Sm`r;%<`31E)gKSe7+ zNh3{IOj2PC{P6T}65&I1ekV^uZnju$d4%v)ZD;R#?mm*Ekzbstu%Q;x+5gnw&Dr#p zDRO_p{?xsHjm5wG`u87~{m6lLEJV&3Q-H_-|h!phCRJ z!0?9Wmk0W9UIPtdyj#rEdH7#j{7-)q#KX+A&FpO_>hE4-vSSc5N1ys5g z#GL&9ZuHpTiP*98(cit~fA~HOZy4*2{#}2Pp+D#ScEtVdz^K7QsVTVhPh<73Z%L%V z`1(=bjQs6H;p7w$l@$HEhij|?o7a*#iGGFKS=NQ?m;Ge*)zBp#T5? literal 0 HcmV?d00001 diff --git a/ms_writing_figs/mse_stab_fnr_new.png b/ms_writing_figs/mse_stab_fnr_new.png new file mode 100644 index 0000000000000000000000000000000000000000..1297434d729c4b5be4c4b84d5fb8afdca6bc1825 GIT binary patch literal 901886 zcmeEuWmuH!+BP6cNeBW;tE7N5h_on(G}7G-Bi$vXgn)E|w6t^%f`ByAJp$4(CSTUFUV4=fwvl1!;U-3S2ZaG<=y?FI3Rbu&}TH zVc!D3VUCRtK|{m5ZzU3mD*j= zCMSzW^n-6~d4rt`#qb&MW7T=Hs~i31=lSguWcX(uuA3ru2a|dRpYk+aWGlW@^5)u1 zz55+n=TFCcOgJlA%@L2wFf&HSELwdMsI(rQzm+V+lWf&kxnQ>IeV7i<@Y-##fZtqi z_@bE*a~GW~rHq}Nd&wy@>b(eSbWms(`K@dXWolNvA~_6xMLf3}9hhXhm%;S-{AFfo zofI`Godd0L)oLN$`zZ9i0<}I@bkDOGTCq)S8ietB9hdlb4$t~UlgSPzQQt@_^WSVs zqwjC3y|I3uNEFrIc_MWi#Z@t3kR@-u^<{nKvvI1+d{*UKxY1>%-8akNL%WWGq2x@_ zAh?k(ij|LHZBhBV?3YiOQs>x9Hg-O>RKI2uQe*Cj-HM)DNGZ?11An1gGK=-4H8Z!g zChURlS`hys+Y%gVXeL^tkRQ>@7N zJ^7SFpu@4OXP3V|Bzv1&V2oClZ0jsQCF|-%Rk)*nxz?>><%med8TN+FtyAUBL2~a* z?_mDo0KZoJDx90lNt~fAxbm7e?wB%*--3}%Sr!En+~U4ldiQ>qLAE(Lm-@m26Bo@9JSzFAFXsiTo3aeAcpl5?zL_jxBd85| z)W?Flsn>GeWl*WR!6u+wyL3OjQDgAb;B@Pp8^L;Ro%_r0x5j>*W4CsH(^t8UZCgzz zH#G{oTgzm7Ka)E@bW$HW?Elsvl=4mJNnR^I(i7H#JRy)ONxXSxeX4$6A@W7ZQQ%Q% zHCqdl5A#J=%YaX>&w$UM&o@1c7@@xO<<`X~Z)u$jx)9cf6xuK^GLL(878?mRC9fYm zvL&S%MV85tAwo@HLc3ak(rtaBj{X5viE$))H(Hd zk^NVd%@LCY9}KP0XZBn81Eg-UBeBL5<@}EmQa0D$7v2l`A@|YpP3VlBHswwD!co*w zDt8khiOv)0G}P_3RS;FeGio8H) zA|-9KjdUUw89JPe7QN~8E2L2B^ei_|lUrR=l^4q6ZE`YlwPvU}*$3_eL!yj7KKmwt zhC$?yhDnEpjxGM*{m3VgRmNy7!|>pLdgveDl8A=!oC4#2{=Vx+t>2?zv{QIasgnNZ z@v*V3Zv4lWBr1G>fsJjmZuCa&zn{rp-$F;1i~rwF_pgVDhN z`Tz6s1W-Km_pb<{;a3a(4{Huy0^|A2e}3qH7xF)^(f`MV#E;jU>>v=5Gat&J)~*ic zXw`Iu`5=eAu!H{XwF4}1(tOW04rXl1U5bg0kB>*DrjpLKX6wo$s039eG)?fQ4FmB_ zC-vOoeJ{>jSP36W{_AxuWWeB()?-jR$xGD#l;P8bolF%Jq|}({?_YB6L$-Ih6aPQK;mRg?5cszlThru!uxb3 zaX0MeyN7Q{Fg-Z~;NELO2c6^wClh;2Vy7R@*QLb{@QckAQ_oM4(5oGtVAitw=ZF~_ z4j8BKgJ^mG+Bo@K&oTp_W3|&|+N*WzJh=>EEp2UWM_kz082wf`wAHqGzsvD_zq{`e z1f?Q}d8eg|M_SpM|PB)Z=a~eqxZ-4S;<$>%;Y=Nz`*qPIFuExH;b^PqbcyNyeei z7I+K)(~F0TI-Q|3p05am_rzfp)`+>c9r!D;ilY0a?YT0sx&sej;$YG*!K82Iw)L&_ zC5Gd0ZoAbtG&Hnn&O_O0qMFDs%b=H@9$-y{(z9@)%UTfH)82;zLez=aKS?Uq5MT{Z zWTs2sKYZ9`v$)op+r*4OzqqculWFfZx9DnL7Qm zo5o9S+l>Y*AVbc7-*9)-OgO0zGt&?w0xNJjDA+mQfHFbBqT?Q+Yl7xbW9Gi$fd@Cu zw${$G%^B6Wfl?uO^BY`J0*ZQv<*u8!FF)Usy(D5L4-i;ze{>{Lfzy?-O2(#1#7xC& z#6lt=vhyLaOtd<$tg;2(iqe&cNIrW~@OH0ZEhF}LLPwE6?0oMD4pwQc`I3Eq64wFP zbj^e(dNX`z-@}6ZMasdE8Ww;D+`wwo{@fZsx-^}P?5Z{b7fKKIX_m%T$G#yCaxa6( zUmOcv=asqkaxFILKW4RhJ*%F;;#^_^F{2x0uf7yG{G*)Y$oc{@Q6yH3}^f@{VqM$aCe;QN}si?B z!wn2IIl2QNvHONm z))S=4$zgYhT9FH0#+#MtE&}t;Z!B`&ieY-*MXze0`R)1Tw6a3MTks~C#N2*44Mufd zdq#Y6l;G9*p;^@cf2`ldmO;_0m6NWd)8C_tV)OH2!-&Mk`AusXUf<>7m%apw*R+(+ zdqBRFmW}^>$81(ge9|p;d8aT&r&zAgZRjDmJBQ%J^#A^*_7we0chS3fc=yPrg}2eu zRCr3wQG`SPpPv^guNha5qvOJk4S4bVRSS=cG@ zR-SK@TRovRjusI}D9Q}>=&M}%GrqM|6~(qG!@XfiLQ+;q3tbSja+Qphk}Wb=)T8uV zr}KEU-a;@jzijyI?0UTkhwj|rW%*h{hhcDaHn{=*`_uqDM*{(*~(lUqwT0c>EW z*yywpSvAVyE-z5BUS3}6@89Dr+8Pw7q&#chZQS}@J*v>xBQ$GrvbR`9G|Ec>J%}%_ z4-Z-GPhQ?tv(|oR()|&ichb@-`IMbUN8i98Go5#m^o8NP%cM(YtU*lw(YCft=?b~3 zE7Z7I0E(K2V+?GhwE6DTOg`~y`9Xv+|Da+>6jkrlb}P@J4IS$}`}uZB)rXG0Crxrs zn)lj=3yaHJ8~aoESdVBh9w_xw}-T&GvDN6rsk(LvBEFq1)54!vxIXmSbL z`GvFB&8euDXx>Sh%aREE-F!IcgiN%ywAcFd(9+U8DVpuaMe$=#u;n*o3`i7Sj`;f8LzShNU#HFUeL+4_~u0NZ#uL~csU!nESRU-c@B@}JT>fh<#yEh{Qp%f}W@F)GScl~>#7 z9V^ctGr&J9XRBmqephy*-?SSAhjKt#juZM^!`W-2xlFq5&dXVk9Ut8rNf0K^6C#Us zm_n)dL*)1)Dedbe80C_pchVdA7qgD3w}q4oXRV7%eG;I zdd&E0cKzVJyF*v7AHd3U-;Hw6Eh_*oNejHvm%ISJD9 zc@=!~gq^wIk72F<7#3u1UMDhr9oAKWUfEa^0h}qCAmv89C-rRz@!RL47tC`@Me`eN zUTm$n#OWKO1=3oi2O;9qIP3Htzr6NC#m*m82wP-$hx=Wj6f#A9Ft)Nt&IVzZh`I=R7sbvtRHpYq zPlQ+C6IJGo!qu-ij9Ap^XasVK!GRxLd8tTMF&S32%HIu8)pnt>0tp=9lNWPoI*^ue zvNlQ%L;oG*qXsSNjkYCiKZvvtUoB%#RfLO~&ErqmmwRgPa+gw|{f zP$`F#&`Z8Yz7NO|?6r`uu)3ME7a5};B#=Vs1AUu0cqPrVa}Y1CQCWr(rj?V4ZRpiy zK*>(s7b0-|;et$QZ=bKjKXxk*ObUT?8=HeNU6XH|f)7-7(`=#UO4--Vksf^}0&zK! zo;QnvVCdy+RIG_@;G@(h1hZaik*AH?H}rm!ruagAFB(&L_vw^=UgOb01}>U@+p?AQ z9JS|SSxiIhQzYz6%f?6>9vxF74UqBEz(cji8q^mI* zO0c@ye5fGcFz+q&_ThYLe*=hZP3lC(5?Q!7U`Lp;;e&k~P%2H<`8WLnW%egqU8n0g zQQk~xEpF^6%jeb48I{@hYis$}=A4FHoQITP+@=L~ll*s}?)%0}F|VH9xOICk(js>8 zaBYaNq>6m6?FQk~M^X`c@*NzI!>X^Bn;KBZ1P+5;1`>Bw`R{GjLr<4)OY?cB$qUT$ z?qzIqQ+cju-yCOc5(oR5NNZQ*Y{!DzrJ?7d_RWr`skC*k9Zx@|$;JC*F;ucIYXYM& zt<^_TwQ6wMWl}Hw(Z{Fl%CXL6L<5-a{Mn|kWKIj0F&|vXzQlpfrUf75d^$jnoNT8N z6$Kfdk2z`iigy>hX6@>3A|mDLi&G+tc*D~(65lqo@^ysZC2EL5h#Nz?wl?@X@^JG$eNk76}mciCp}%(`(ySEKdD!CLpl|P zyz*DhCOB#2E?2o|j0c^wimd>f-<6fQ4T z*LYK8Xge&SI3t0>j>Spk;YIR_5JxWi%WqSy=%>BAyt49V!}{lN+{e8ui3T)DlK=;$fm%+KbFSA3fGvyP zZ?=zmPfL}ZjsjftK-}iuO!hH~Eoj6tGdzEuG2a$&BV8tz(Tpj*@yV)}iFS#E8O1Ya z%g2h)SjReLR>?T%4d2^)#kv@IcZp_BIABZoI!Xb7;);&|;;7;nbmyFI@0-5f2qiox zJj9E>f%>G2nKECe`-F@=q+aLhe++IUoOIq|B0M!-j=O(w2ke4n3YSDI-KyW5L$_Jn z6^MB_EwCkF#FWW>hkAc;MTWPVMFqE73C%~I{Ak(lq72w~9?EO0sBjx^mt(eCO@EhW zwd;*+g6%k-C4}x4liq_pi;)>lEHExO?`a|-c8 z%?^9BSELkIK1q%9YQ-Qkr%f`x1j|Vjo2bbGM}2 zU(3fY_gcNxg>P-)d)Ww0&hf%D%Z2ORJ#6v#9V3m=N0}=^sYY3ICVedQt8z_K1oJfm z9q*w>H( zAW`KJ?{&qqu!yJ367?`(!I_sw1p$1uK0D2BY_Ol|1xfcst2`j6&6OrGIdQ+mVDi;S zh_)JnAl0A879tLHOyZZ1uIjwy>mV#P3mjA=Fd77(#h#0kXo)lPzJN>4U(D z*jllWrsTY@Ln%JPmDyl6Yw(@%Tf45{memS?_XKBQ(+Rx;ngS#og**9mCU9Xd2}MmI zd^{d}a}IfE&Q7tqz1y@|VsJtaYk`&sr&Av|*1r1kk|ev+`YcBFpp0ofO(Anl@*ri6 zveLC^GS1i7g$!&IWbXF0Z+Ze)ZLY!RVu$MY9O{N!`t(W?2!5};sPH?=poH(?Vf5rJtLX>jfe01y>#bX3bwyX^%WQ?nI`{~P3 z0!@Y7@%MoY9FY=Wh{OQ0roZ*+vP8F@DeYJk=an^0aW1r@hP%$t<%xws@zll4k%juY z;PN*Dl};+C)|XDXsC~n3r^g7d4)==XIuYBC4a+!h)o)|O;9w8jR?+P4><^v^Ten44 zWnQrHX6!WZ_?#VWTk1+?N#EhrK@AKH1i;%fug=%n&Q?(m>X0KrNXGi!g{VHpwT^{Z zo3e&30fW>j933JC{8&wud(F`oghRr; z`6?kD9Wn^eWSXy6*Xgfsfj16iEmG~c$NG8Be=~{UMB13)I0e3hC85ZBm}_JrVQW0a|5+ue0eMfVC6Uj*j_?l4-C z=hHzhja87fX^Twi#^GhBWHe%7k~k3h3)lFFIdR-WmM?bIUkVPlZQeYg3E^3H7WnxFKsyW z_MbU~s~eJF%r(l26d3Ov0+p1WnXqLkx(4p`R>{BlvGwDWdPoGR3p<+$^MayAFP=2~ zCWh6!KhG*4atHU}IV`Y3q>+EtwraTk0)=$5JzSzA&)0Js6kI!z!W;ckb&$k4Jd~WZ zD+D`Lu=LoOuj|n#sW20ojWq|58z(PS{;_!ah~5Q1koW<1!A?X#Pywq25mG{wv_+ z5C@w?s(YWsGw#fyVZY16%m8?m5AC+j?%F};VJo}2{aAnbnp5X%jxb2%1p($xIAtv| zFZn*6_A3)S!*_G6<;}z={U1dTQ(2Z}eq0NbqjSg%2*LreJ$?UF`j6bbFZ63=pt2D= zPDgyI4r0IrgE+a|$*m^(LEq+Hkwa?_O^m?m6WTr2Ho1G@ubr&(9=xbtgm0-v=pYry z7*?b<=c|<*>Yfo;QOD6|G~xRTV9QQ?2vbZD!BG}<*e@Q^@m6t8$I?tsk}xUUF3}WS zTw4E`x`KuH08Q9)?uH(+pTJbx*vU^@qZAoa1e{=$`;=5}q$Xl&Qx8s0j?%wT4eHsDuW z7pqpKKz^pzDA`X%Qia9SEK76+>Zg7+iGvj$Ilcu_p36+~<0eW0dtJ*6aGWCxClr5) zG`yK7uUtI+SU3^KIIx?fX#77`8GZ%Q3Kz6n2in zh4bzeqA|E1r;j+2~&(Ew}J{@YBj~|~8V26Ls zP)D0l={8}0sS_4fsZm@3iP)`Ln^zypakY95<#?vaX6<`Q{AN+_7rS}_fat=U!Xn}W z7U_lk>dh&)arkT|e*3-Y!x>-H&dVC5 z6>v+l3yX@kXH_O4&_K8N67hJ7-TXBw|d0%cIMkGxgQ3i^eJ&TRbyVxuK@5KnSz<3Eh~F$BO}@;Dl2w zu@ec)lb_PG?2Q7N>mqDa#80SYy{?sR;baY&71S|9_5L14!65v;;?h%P(GfJrn0 z&ecuz$oeszkO$00Orm(+vR!Z7y8k`NOOaAEBbPjOGvUu;FD+(N?nb=1IUZZFrt^wP zSfup%(Ar=+YiVg|K;4$8SAbC`fs)g=&ocu7J)5|4%5T&I7B|pS?HjGm%(@zIE~?V; zBMkg5j&0#%HS$k3M5{hiOtC;KVvY02$Lknv-)GA-z+nloNterrzpp$tk^Bba z$!POiO|~#y>5Xqi78kMnytwVt@m1u|h4-r;Gy7#Kq%}ERZu9KAWmHKO1Cb{gJ?_ zhw`pdNs7+iE2;6x$5POVVo8gS04rCA@%bK3k+Zfq`n_p6;GvQGWGK8|gZ(j&PRSMB zXsXw?I7_}ZCF?$Ht%!$8#eu5d@+r5{0MVga*8L?K>YyiR9c z^XlyEtjPsh@BRAbD>0AI`D!X-Nn!M^cKE#>_HFJ9D;W>~^|KitS5@(3NR*Y9vNJJn z&vS3#q@TKKFa4Rl**QIs^KMS}l0&VOHfe%djWP<@EgL{3wXzsWn{X}sAm$P8p7~TG z$aClIKDZ!Ta8gyP*D~1CBECj??zPXTvz*=4Z>92LMAwNX&Cj#(G4N8{ZZd?DBZNrv zT{0A8kZ!K>>sz9;*>DF>s=)_JJ%1>C)Lnrq)JV^xzInpJyoTWG`MA~@Y~_tkKU)4q zUs>S>^c3l0W8o89tca2-l_4$n>EIf*u0Wc+&8G=!;+Cv+9sTC_zj_0`s065ch3DsM zVs2RPGYk+vgJJ-x(${y&o!+kx5oaL5)_G~p$QGzBor(yuk~wMU>XMqaDo8(n$9>)| zdg+T%0rX12N4{sl_Vk&)_dPE`b$lx%RqKt|8$Sv2XBZ@#rsB1(j#EyjXOqxfovtjl zfib=4KK?h_yPnz&ma-Cx1vZz{b}Wy(^f!c18D9I1Uc3X%oE9ni8#7f#NLK+i9m%I6 zEubP7xZsAL0?iQvzOO?>ieR4xzY{8z(JDFmd@?bGS(r&Q?mtr}X2~HzLXqY)D0l$S zu&6U^z71=c#1QIW6t32YT1Y~3n*M4gDj4p)!fFr$G-hQ^*r=wLM+6Qd+n0Y1Y0;eisO>!!ObDxojz>B=X^S1Boa)B^=Cl-&qi_gtHxy zdhHo_ApNf`rMuL^Rb`#0v6+YP085Aw$oYO`lhPclxlt0#G1o~|8yCsF)yEfZ76+hD7*2Y_Uf zv;pRgMhZoNQVb=meyGyNq#oTfAyP)y$89F!n?d;(-axNz@`}3Fk&OM!8>c=_&$Ov0a{9(hl3b%c?$T@BGlMz&T1y&T(|TMt35 zIHSh)LBpJ&LMNFbq!pb@N2`>HHaK4*-%aAMwRH!KOhdR@$5|gA)+byIh5&EaudLTA z;nK9C@6(`uuC$^N9LwKyL;BgBIl&yrh$k{$&rjm^HAVZ{Ne?`81Npm$H9`z*5dVsR z)WP%ngbA*L?N38%MpgWBn%DX(-7$L^>3E$u0rLwxOgKN=Dj)Jvw6L$=$WJ9Aa=mpA zsV*Ea=$hMt8{An%8W~()L5l{ZwV16M9-7uS&acrd#N%Pwo|LG$xJk~gt!jCo*T|u> z#Tp@Rfl%O)2r2!(?*s_*!QqD=0AzYH^9eS((P#k52LPG^D{8lqe;oUMi^egz@6(qZ zdJfmTQxbp5g;~>`M^g2SebBS<^89!0K^(qAtfW8J=;Z=Ay=c`*6q5PnqPJ`>!sGQB zd~MEKFS>SUuTG@(7qhHr>;aH4wsLP@x)v3DQM0gK+RHsGgL9$niokN{+Vnhb?h*~BODOE{u2-1KXOkcdNUMOl*#)$X!RpY!R&xHzvE=c!1pCU7;_r}1SRIT^Bh7h4X5$sl zpdG_O(WqvL!$1d*tFzR zu2MlU3r5LFZ5wuI7L}N+kY#pIa(5ru8Mz6mzUPCmc>TLDie*~UjPZWL2tRMlfA^@PrFa@0+;lVr5jUe@ydJz3}! zKzlcsye=4{*muE=ipzMRJlHX%d5hM2PeS4}iE}I?K67ibJd^5e8@iyxN=bp4g3hKp zW}c<2GIworM}IQV6|F5unj{8&yN7@Rn`LNl1sp$uV{^GydpiJc2|DaF-TVD6=+!hb zwH65!&orPsE`Yksv9-krMhtb#C&qiqV(z(eIg!+0*6rYJLw2;|cXfgEfeVxlRho3) zy42UCALYjHg#f=y>xO3rD6?&2K3puEHUM5>WRl(ua7?}T#^L_7wC8lu@@@T6p@LpR zvMmMHnwLQmSxwg%jg2i76mit0{#C}r%;EmSyvFYs^}@80v#Ld}&Yf_0X36go z`eCb51XO%q_q^yBS+`|c7`f;(xcrpS3_peYB88H<&B7o_9=BF(jHXir zS1s&;MyHoyP_l4 z4ZaYdH3d1nZ;^KAOQlVW{FEc$yncWL(A`$eMz@}hM-nn4>f)R7bK|~NW_LAp2XFWg zust0y?|Mw3%!;jqw!)J28GLNswO&Zvc+NBQ%&^U0+&iBSb&Z=ig)^<@feFNDh-JNr zLXDE|l^zR(f3AY}T?WLJLRYda%HKeY9o2evc4o^__CSg64_Nx80v6$j&};XdEcqUR z#gnOXuRP0wqWWY?Wmm=tPd$@URKiCxJaM;u1l!nlziGByoy!WUQkH<&cx@H}okJs!7gbGDdSkb4fGkG6bU@!*&PFLu$snd9~8vnwV{*KssUt(U&(1vztr z91aM$soHQq%5ckGU7^y$Crb)RNpc#aPjK_hZ;@Z} zl-<6vf4Fa+0waRsm~IqAxV)vva7Li)I{8Zt%ww)z0kwF%k8%0lOUh$hB5>P4TG*sF zgo(h@4}`wN2YptRtFf0ntZW_+a!@{acnAB11PFQN25I|Q%W+LnWNKnr>Z@eiO~j-o zeN9al+Oj!Kz%8=sHh2a^6rN;Gnh5j3cCWe|UHS4^Q zu4$lUrm7a^Xk7n1*5Ycs!uOykcm*|U8Y@qwc0Ba{TE7yqZhgYL%QvYTdxr`2nd)!GOCKJyMqzg@YtY?Q(>2Z-$C?b0u#=c4@EFjpi zdlfapSLZT^a;7%4d{@pVrmFCljG&>u3dmG~h@4eZYA>mbQIQ{1*rkXzrVr61fE=757u85(SJEBBBMLEPKE#bh1K#%k5gpoh1a4mF>XFcFxOj z!ouK&oABAYV9%gn&&mnr1%b`&VghLNrtN@#58nuiH*5g#{~$I=B;->{2>mDU~bG%d@S}S_=~Uq9SEv3%`VBQCf=EZT3*4 zuk%Vh@R2^vUr8KlIavx3{8}%U^W1zhKVyH&mv{7_VEnkPh8UHI?Y)yjdCjBD{LoAF4P(uhWj3+-?Nwr*fY^a5!t5ZJCh)$u6_0C6D->wY zPt#{}n=hu8=zx1|P!zS@#&2KT{4QHubnhg!?&Hhy7$mt2cJx=|ljn~eS2tVA z=Gn={w*eQIiK~~$()&jvsfIs?O8uhKE!@iG`-bHpWSi{^@WF&mGTI1gA%0Gq<@<5@ zrAfObtgfE=m%xIOM8x<0Wm1nj52dDU6@u|(pg?do9mxp506Trp8ZasVvG9uE_p*fh z3h@snI$m}co#s0Tixg;W#XxmHfkOJ`It_FXxP@1*%`Dk?%_C4IMX?L#mFJ&LiGE0e zaMg`j*)j>j5v82qnWZxFhUeMbJCUD-_uUE%Ql}p_`E>$;F!g$6Zvu_+nl}M%w?-+j zvhB~GF#|ryaPsvoi4DjexM@lUw?Zbe+a$6maHd{lPkyY5x>k}6 zn)dLVtTkrH9K~O{vFx>RLLG>R{p!U5JwNcC&Tm%)F105s@c14~pI9bEg}g*x;)#G- zwN|my9>vBuB=E+O)mx~0UT&=Al@zQ<>Nuul44y>!otu2y8Rs2)y(NTS%=ypVzWTk55+{bP=2_ zG}Fg{-Vh|(E5yY(#SAinTUNI71CJ6}xcW<*>}Uy)_+90QX59kz4ee!FTxd&)&(K9Y z?7wALjzu($mJis)%pYEtCfVKSZ=65I!>4Q>-}%TZ#Y73b4dsWPfOHWU+r{H5W8^+0Uu+?cI{d^6kYH7$;9@23k*#;Nh?k~_?e zmalC&-#%%9`wS%uK=duXBsSKm9#`MCl$GfhNv`ycwhZbvw<<`RI64f%$m%!l^5+IzuTP`gdp(@FetuEOv}R+Jg3kO;Ir@jwKdg#LWX z;Oc-?Ap{0EGqN9}%huBHx~_+_`coT58*8;wkNREKT6*e!(6hmgDpcw~ZS@+k=DqDe z+Y4%$+<@y84a!qaA_g^m*o$})bKaJ}c+4U%I%m+o8Y7rxyJ zXplj8X1{whFg5CE{iuu<#DmL!JfmER4>WPWiIWpQ0Vb%M3f1nBhX9VUS=%MBX?@Z_ zQ!+4sW7?T(kF`hN!wh>xmx(ifEiVT&Ot<uf%I$EPJ4vx3UOjxLtd}J?luF zt7RrY`o5WOfs#yS>;{(Sxg%eYwNVQ;vBE~ro3h%I8V27eii}tKj5R+yp|(@xBH3I? z9V47&>cgbi*xhY{yYj=l58J%uqm5Ey#7=+5Zv1R?*5CH@49;Trpr@KVvf-Njl<3I7 znIY!a>I96fp_dsmkfLNy*2Jpjvc}CX!*0wMdbN-qz_#wDth1=!-)U(CCgn8t+Np!~_kx7TPn^4jD%)@gvs9cq9j=h^FBypL{L0u-aq_-Q#6qvGBjwcPsNuzrK znfX$v?ejZXEw_1>mjeeMQjmAYXL@vQ^O-Syxmfhdv}WxCmclp^1W>#`_@MITQyBqn zBqpT~+l_ks%z?4dO?~iUexF%gr0GqFO4p8zT~Sj9} z`!&95yWrt(R4mdIbcQQkQ^ilL)p-rLMHrh^pnSk9?(ApbTp5aLb|(5=I}dQXhEybl z8u4ZP!NRbV?18&XH6^BVWnf{gA}FFgRr$DfJ`#=}yqqL?z=%nw#ET(PL^$MLVL9+w z7Uwv(c8mdy;iD?c#mu%ffIf`G7knV8S}3u=@vr}H*Yd?+xI^?rw|+Q%y%wj6&LY;m z(NT!GzVEV;Hf8&3-;?ZpJ8pd>3CXxWc1x7_bxV;E<`{kY`T}`tovvdKgX6cG{jcW7EO89RJsvx8_>kOFW#CZ8{MEf#$ce$g#iecJlKb>}9$^Z< z0Ndbze0C^1g`lefe)zv0{KvZ=2?J@$Yk?d$EhXwxeZljPK3e|iSG%W7WI^{3sQ z39K0>D`fwdk1FYafhQ&o^K1X{xs2Cn=thb@U&rt;h?rRdCiT78IejpL0xYrrTBUz9 zt0^6WPpV%$%KhiWnb9$WcyC;9y&fGAKi!;t(@tabL*;*aQ}HYc;Cn6!DR^=JuU^a_ z(*7dYhj$)QUGE}U00QB9pVQF4M6>cC>xDVfBqXAtH zbnCJM8YMQKRin4UsKYefWg;d&KmW;^Rv2%S?!AZ4|0SR>Jo1k#FtzkjXy-BSj|SSh z1n4SSRNn-ROEJK#l92ljlqd;e7aNNAt*#p%xPgv%TkOfdML5-m0f2w*1K^eskBluE zT~M3oufGKV{A)S%810}j@VcA#8qXM?<~6OZnorx5xBLd^^R5ubSp36*=ZA=06XErk zUjWYhb43D1NW{f8J-gJ>C534cWuG+AGf=U)nAxsuUE7NzY(dZETg;&QFY5pGNUmXRZNT^hx%Ko7J# zxBou!Lt-%UizE>)7M++g&~tnA{fjcwf4$iskG_0lm@imfzl7@n$ceB7bJyqQ<0}z7 zgRgL~wzjs+fP(H?b9ZZV^EV*J(e>3nQ@g~1h-UnNyUizhb&VQf?WsM0>^Z7Bx* z-8=u49I~XY8~$Uk=Hsn>fltv9Bxx6h#}5CtQ)9OS1RrZQo^2MdK(8(!GF#`sn);Ga zKIQl7&%$=rDugk{^C4>2DWe0#ETj)~A8u#|RQeEgf23w5*LTl$lO3$QYqe^sVnp*1 zS9{jLPi?8UH(98gJ$-cHiLu|~dv{3@VNaL7Z@y67OGy%ZV~meKayfz-b9So;W=c|Y zH8Y_C{T4#1&J%Xy?~C1zV+kS03ed%<4Fg>r9OIQS1Rvl2`&EgSY;&NROj`r~Dm}-= zU!ZUKcK{a6tN6u|s=;0&0#9^cmWkH|z;+?;8fA9aP|6|78R^xf-`oe1SQ-+N;2Z8-&6Y2s9;= ze>*V`FwOgu9$fc)HVtL&pezQf&nC1isFBT6S5vL;YNJQzK+_@vkO?#l$p9^uybT-& z_U=vAog#pEZbc?Ml!rw;ZsQT%m()59-OAfJUDM4rFh>Ll;G+;kFC-= zmAVwey=&|U_!#~bjsDo{cIx=FWYQWDtd47llz_`Gk+l<(wDUT~+?6KAz@}xE#!FQj z-mJ%mxfb5E_NzUZc=UqOBoIs1_5{0#lJ`|^gI2Bv$A>(p$WGnS&z1QLW&RZkNXKfF z$pz{|iEfd0Xufj&s~MP=hPM5AEPd;V@WG}E+TYjy?rS>l7s{58=O#_C`%?uJLD~4Y zPITaz_%nF(A$@+}!~Y9kIultcJH@YVstr5;co6ynKxEU4<4JhE#84Pt0(Zb~pjp1L z@&nc+*>tS*DPzT<0d+gUq30268ezOG)vPP))wQp;cKi|%8v5$7*|KA*h1Rzp_e~j& zWAhprz(v!2rOFH|uh2;E5|D4qZd(&*H{y&-**5H`bIHH_mzVhx0CvIJ{k0j}GQ{_g zQY)90ZXn&Um*u*Xn|oD3{qH*l;^3D+f1F!{Pk*5`fIglT4d_`sFCSlg$uD5;ZeY`E zDG~YI^dziCCue+F&e4o!L2OFp9b-erE-eH9v+=aAiR^f7>=^N;K ztdQ2lfrgFZ>#j*sed92!zg>LrW7avQ9M2xG!^c$(iRwsg>bvB*Ryhv|4QVZO$a|Hd zCHiLKV28hbqH>A7LxRluwn6i%ZR|(_gY{%iZj7kqm9fe??vM zV|iUPrWCorjx(Q0^!M=sUNa6W^#teGt~@dAJ#}CF|(RdRuHC7}e zq1JfobDkPF1>9%UeS$Q$ey1-#`0cem4Ih6t*h{Kn@$TDdt8eGQv21mnZ2Edtaq%P+ zV?u4#H$*bzeUiTtQn31IDRPcMUQ9&U*avTDvX0aJ@Aob11tu<~S{$>}r_$RPc6N54 z)J%L;ygOt#sQzt6{Oi>2^&io=_Sr(d@(=(gQMBzoC3IwQn$3oS11UdIjy~#jlEKlZ(Z5F^sn^2IK;)WD}SzR^w}h0$$oybrzCv5JI&*oWgSayCxYY(qKnS?$aGnk1!cquCrn+2uuP^O#@6e;+qqBFjJT zZM?G5YvpGc*UC;OFS6eUxKa{8ZCL4?9K-$hpn9FToWsN$5eC3{#5#6l*2wxYWn)9y zW#Md3a%ugcrbV_jAwR#2ZG12V?4U5;(0f%*##>O5_)Ff#dQI`MRZ3>@Wm?cK$JEFd z)V;yP??+ajI7`3NS)>F7-uhtq?5pXA;?5)`*=JAx9w<~Ff|@S=M738l9~c&7?ZJ5v z=vK~=>f!L+5C4B$H@fI3@x~$*jU0A^AhpE}WPYa3Tb2>F3QdM4_RF5`Pf6TbX$;{E z`JVn|RzLmcY|GoeM{GP~|H5b4-WG&&6JPFtBf&L;nC$^Tr{C97l1hhw(%s$N z-O@;Rr*unqcXvp4NP~1YNH+*llJDovcbs8DT_#$FR5Ya~pk9$MfHKNx~h~Gf!LnGFsO*o4CLY!keTBuEG zJ?})S8i0oPFHG|tvH2BmasbGD!?NU4+9Ct^h%n@ld zDNA`xQ54oU*-3RX_~=RmQiz}~BVrE@`X{}YX2TECIZ$wTxtUffE%^ke3AJ+l2Epvi zytkapR&;w-?ti|-)cgUENJyeEeBaBnTzB8O0*S^|LWH@986c-g1bB%^n;33_T+CYl z4Ca5#(paenM*ZR8cvx9kLmvY!eL55 zPxi2$%#D1!sDTP75N9gqF8F}hzwS;(aj7(&!%!cNI{o0(?pE-$}Tl z>YNw<_x6Ip%&_|c6tHXp`dSFOv#&u%I4+>t{)ykFf^Rx_`OvW+*^hO4=!!aY_ zUZeK+u4XCRJRR-WH1}UaDzo%3Q+#5BHJIbCB57%LYA?KhI zm`^VG3AC0_I%RqRP+)qRZoWB>R8_mEklR3D$)B{B$ppN8TRrBN4n$rsh~iOXOC{X^CV`S$#&}Zzq6JVpKE)Z( z^1%J#lebb7Rg^Ln@#sf$G(7s8t5sk*%^PM$f_K^F;uvzk1;2)Kux)_7KoUT<4)QWR zj{>3jrK|j3sB0ea4dAAsz|^u8I2`}_L?jj&|9G>`hwcbOZQlWwkJOfHS)e@11bP|7 z09BDrAy3nyahhw_y8$3FixFt1UDAl-AW>$c$Dkk818>_beQQiQzm}=FoE(aDGX5Ps z-zXUe9`EHY#|OS56&?0Vk$$-~|4S4-K?0Ml5UxOq^$}v)!~1SJ>pS4AsX=jbVj>0y z5V;tgwcjLKH7tq(Y1HiqwzX)WsX-E`&}{Y}u6K5Vn6}I)wlfn6M_05YkCjxjM!qTE zDW{Fkr({>gk4EW$90b}i z=z#XP7|MeBA>gofpNz!JEG^@KVKl`#9ru&t>~K)D8YA$IR-Y2rDZ>nrledtUh5q9@ zek2wDj6?fdBqGx3gYHfSo6fGwrphWs2gZ$jUc~>i5`LeP2uVspqnFnAZ=3lI1_6&( zs~?Crq47MblE3ISgq6@Af+j0gfFYn7fLh29`d%jq6bMOfzr$gtPqFtmKd2{@Dcd#N zfkkG?-tX?hKj9xgE`~!?G8&=4`tZ^m2Y=z0W}BvUUT05Djkbuw2W~yxU}fuRssiS+ zssRu(kN(^O|G)bq42s#}NM&LHUaR3^g*?N{{YiZd-&MN;@!IGMM^VLT#jEZ*5_pXk}C`n|VQg(G3hU8X> z=;vlM(-WxtZYV}%+1Kke-m*9pFzWg|XH--Ww(#Yq;8kck#6R=gzI-J3gaG#-5xCr6 z`EWM`-_Nb=@EGEP&*>ymv2lzQG@HG%ZE+MOM_zOcs}3Y{D`NRJd?6LA;)kyhjqwsc zOus6I`3IZ?XYxO~9Z9vCqog`~tc*{FMX1d%`{-2y-kobDSPWZoFxA5RtDuCs9?x>8 z%GSZ@s4@v|6Y}MTC-4K=coJ@?@1WO`9SXx9hAHt-J5J1?{#+=B3D`_zrrG#it)p2^ zip|mXUdKM?hOh%jnbkp-0Mww7pkSnh!oe!oaRE23J>E$WfZ%Rs{^8H0->4X1KUpht^Y(3 zgFvPw9D(N@C<71B#*LMyOg&vMqhv8FK>7Vz@oUBQGiDu5Szw!3=AAv#IPCb zLq|V^44s)LV}Y9;iIrI)-W`d#g+3z_*f*5v5ls_+Ow^QID>_7bVGH2ywk z1_47?7TlwLM7t$LJ(r$-9O-EmEW+qa@ng!X$$$_VbL*kXSq=Cn`rvjR_z|C*8rkWq6djE4s9 z5PvUZy3sK4)A!-2>-D6*k2-1m6YAAkhJmnG$_quif(DcmwU3Zi-9&|c0;)(0A@&0w zVd3A;^4DD&G??V z4yU1|?A^Y5)|G=5UGHmc_M)ZmH_O&VVp)v0qW!2ZpTQ0h5Jh{G55a=Imk27op7uTb zxWxT1T}bi|>%P$KC+ZU`iJa`yEd4m#1{bNu3^UBs{+vg%)Ls45s9KLeI6@V9_D@kx zrRv4TVq0H3NzWVC;_ql0;&t55^6rN&&z!G`UlcATe!-}9*62m?6r6+%)X^<#TAm%N z#a(O5sO@b590X$bY1JIHal02nBmql2C+nZ|{a**sMmi|7n-<;}n17!+wOO!2%t}A^ zdx?B6LGa`m0VtB;zw#Y~?IrUfw~FE`y|1U1Hou^mvGkE$+YdcUHb*CQT*pY8sa9EKnEhzU=1`MamrBuV;t5Ws`Mmkvq;f*7dyK|O_!;FVatvq72&XU|o z1^ljMj%Kt{gosJAIZZ0Q!t_b~b7Sn|e)j!&(97=<0QulPh>Q_j{+C(K_JABoHy!5d zmpaO5l+qu=l^Dr5f`he^>q<_&tQ(3?HhcR;CLlhyi8DvBh^po2V~UM^BDFKw=X4SH zf|F{of}LHQ)gwhinba4~Nky6;$|EA^{eebF@By!{zF)Vi!>WO9g(A2>9CRr^{mFO& zt{d|7>900Lu~j)Py+RR{U{egbkvh{yRW>Oo2k?Kb#w%Y*(EXXpgxLW-KzUN|^PxDS zoh<9y;OgPz5QN^m07HE9L_q%k6cHRR@1uWIH_7!CnH&3%f9VNcr0PoTogXX z-7ecCgkUVb!0F2Hz6<7M5?e9r^H1fe1F8f$(;r+gdqPsiZXBvP?KbTa-kR$QK3C`6 z7j+A^Ht@;xU`+nzFd0HQk)xB}$fmUi@_C1B3-WF!EP}hl;V+Bu_X%cGLxK|L*ob_BEU@>ImitJf({_OY#sWk;%0v_B$0e@rsxZlL zgFJSQ1Q~gP`~#=jJ0rwqg7v7QOMyE|Ch*HZCq-bK7!(|8dlT+U$Be`R6hy=CV59j! zcibLD9#zT;@kwb(<<}Ugm}L~-a#SDlYmq=(^s~Fe-muCM)~-Sz)hyoWh2niA!;?iP zv;OQ`xir^~V)x=AAjt#n%0mR(+qOJ)`Z?&@^(gM%s%*$jy?W(DtfgBJ{Wj(2SNtMy z0kI18U~}>%uhq!Yl!}I1l7=Px`FyjC-Fe3aWWqPn^=Q3uX)mw^AqoFi7R3j{w;<2z z0hvDc(X4fkHsskRmc4~9wAQl3LUe|dSz26;rBcVcMj*)JAcK%$!((C&Q=Z`QsiD^VOGZ_)>+P28v^e6!A4A#hKZb)Bs# z*gneq+Q6x$D5sBwK({uPezwCzdUW$<$pX)8!8K{>V8{wb2j2-xaWgX#RHq>b!lMcy<=qNy~`IXzmdrV z)C9&#J)uuBnH3vuN78>ArKd&HXUfm^a)z*!zdW3CCksg4<^NxDsQ_~TguTS*vO?C zIGn(VP~C}ME3(^>=1f%dXNQ4R#US(ZW4&`@1V!QUAHacE^=T9Dd3@DDMB^jrjre5y zy<2G5L5DvB3kT(SQ!8dpiii2{`*p1xJ-HI1tAE2iBytom7N%5yy=E37j?>>+%?UeI z;DUG6#x_ACXNy>C`Y|WQoP8p|mz0 zoV9apD#q~q^Phb93y@9Q@88-vPNrK>&cK;$uIX=GJvy>R(%F{b}a_ zEZ+<{n5Hm>_p_&JlZmL10cnNebY7)JF<@%pUddn;1En{xtGBAT=t=~+t3UM`pQp?XiZW6$s^{u*o(sEtKdLfW_=eo|y}tDA|? zp!%fT{lXNwvHM=b(lxmwa)va){g%Ep$?bSMU)kN|tN@lBw_-Q(6jAaiZ*AVL2o8xR za}}r-0v<^_uD~fz)QPw^MM^irhEyhO%#FxQ$MHuCVcv~`j3D}l|E=tQQGD*p-9^jb zU*rp?T>Noq=^v zG0c1d{LAQq$nSRB^Ksr3d@nO*lwW{wpK4b@9_g?9Nib1~igqr?Cv(bGTo?slrK9hA zOLr^oPR=X`p6biQi!r!1vph8tq{*3ITy87W;)-`$OI~v`AO6bn%MMGL zJRy$;D7ya;`<7DSDS!&2@m!^9 zFtFx-?(8Dho%{hu1!kdmSIoUcw`#4L4;6!yxNyFZX8-A+UIN_;QINsAej!GF!$5xn zywmdhrH$q91C`RNqrUioeEmMR@AdNoSM&2)t_b0qHz>de+OLqyXsqhB_P(d|z81V3 zS;%^xJ6pt(ce5{S$v!oh$#2F4#MHwqqUv2^p5h_ zzS*YUi|81o(c@013eR>VUn-C3%y?(oM#fi4>F3LfwGZplzMN>9YJ>psZ0o5V*7GGQ zsG#q5($G3%(-DZ1;Qhi)fND$=_~pGtf+?WiI{Nb8htU=5%B%9xX&;)8rCe)`wz_FU zPpj6GCw)Z{Tdd=`u^c4=`xmeli+~#|bOYHrmN({)-3ydff=Pj}&r^`Tner1{g`Z1; z^1K=9X9$e@*T+WdJj-P<4`?t=uBjzPvdBUXrt`1XS_^jO>|&EysL(V1lRi{N0Rze- zm(1kwpnao7p|9w=#rfKLe-d(=2PE+ef#(>-2v-6p9>^dffR z2S1^cjc$69u&_|%nYbIK#1EgHC%YkZB=OA*kdI@C5ImzxDE+ehtb;p^%dA>tw%^^> zf=oors_V0x<2TssK%C=_+CS?iG8|!0FnZDd9|YMAvtPsZzqhW;<$JCAL=`FfnO!O= zn3+|gyt;a+Ou6misPt6LVLks~_UW;YG#Fd#t9IL^1Srt@0~ZNl*{M_|mpyO9AH3sM zcuKUH9yAnH>l!5|_CldnJz=&^GySYZrVImzLP=Pl46X`knkeOO=pD5)blA++m+#VB z#OVs>s77*wu7+v672znR==4`57qlw+ibyW z;DfpfCDcFRig|`l?Pohhc6OIa_FsFgg(9O5Cek!k$-m|74pqKkCaDQR1ybIIl~qkN z5IeHKs}RwX4%N?`*54g!qs-&fi5+BewUCcH8S5|)x&>YF1tFlT=cWeSC7H6l5fRhq zU!|7e*ov2V(giJ2ahkZR- zay!vZlmpHyb{{wN2=CNh4~se*V4Cbu56j|B6~rVrobOHJ-8y>G8q`N6vJgKYd~DOl zJ*u-)NQEXhOc)cG72-iJTMuUvPpCTeLZYEq83dlLhU95M=LUsB?;sK>8?Z1VQXU1@ zW!nL%-<}YW8jb=2Oj)F3`WbKj(N#f$_3eDR`U+B40A?3Gw*f+^R_dMy7vk}p0i)8e zT@CB!pk9+PM{X?|*2e0x9 zz;7r!$ko4QO22}Y$&;14E~$-uEH@g>diW_0$T!ur zcgTpF3W{)*nklGu7yfR#mSAEWYOnGtP8j&ULp|XMTO^%$ZSoxFZV=*O+?k06*HGe9 zl~kE#@qu*8Jy;x%ClzMqnoz3*J5Z`HvG^6SrXx7%%Hxl5!mKqqMj(2C=bhVfcYE|1 zyl*U?a50;#B^LPedfl)9Q_gejtN0!W2OD6BNx!1l*EckEe_bl|#5A|KXG%>`$oL^q zeI&>z49X&a{3lQq1T+mO3ssr`2L12AR5%gvvr;;py}BtSS|f^7*R%B+c04T4N@Ap? z-^ce|s{cVk)WMUFlaQ15H_};ZW#23_h^1|DMRFjTN5`03&Voab`D_Z#+&Vg@wUMpE zzVr-Wq@>>T#n@Z>FT}><7$%d1+D(m&YD^Q%@9MQa@`}|PFK2p>p`#ThRVeQbo0wH= zRJ^6cKej=a+*K~JKsZv-#gePci8FG;tK@`9Zuk*99*3PXtO7s7ER-}pmq$5Hn~^v} zSss}xFZpLDfH&_$PkFHo5Bi2Mkd}nK)hfd+Q|i*Uf$$`{RE^q28UZjcLJG)#!=&Kw zZve>zLFeyL8$+P@m;jQgux{FTonqlWw1JN#%#Z0^&-)O)Oy`V2=RA5kaCfNV4>m?E z*|fW>siI#4bCv!^hPBq1G z+9&^G@%yc%a!m}16)$aafI_i&+GB8$ zef_BI=m=0N4Bwt_8C9EC{+|xpvq*QK8Fkwao_1drg%O|(YzD?$J*Vj#8dsguY=D>t zU}Pf$EWES4?czg5V#3t*Cj4f(yhKRK>L;t{)~~vyuQGKfq@xbK{BlW!wDmG1Qi0ZPe2l)jU5=T)Rck6`XH z4SYpjqO7w0W+D-v?rfq9MJ#C+)!bv!C?#@bC2&c8SaL9uY{>X;x{%8FxZxwj%icg? ze;9cCuQR{|g|L^a4T2ta**arDk~AHFP~l*%NZ3@}ls52};lyBW64T*HjO{72jD)&f z_sgdtQSk;p7n~0|P2Sl}i~jlVa1uX=@O}r|>TxQFLajNB^YklJdvo?X&Rd$9#e90Y zNHX4N3J}}?WQc%*G5;!-z?P@{!xmG1?dhpCk!hu7qpWquZ{w0m(UWG}2ylw8Nl{mr z^h)=+YON-Sp~(Od4#X~0tLuP<$JTk-o=c4 zkssLfLxyp;Yo^b%n8uak*5bY*zb2|fS|Wsap2F$lAJC%{p=Lf1R~VnLZeuo9tog%QjRCA z(;7hVr&0^xLaYI%gHnEZ0Tek>M=%f1?ufaw9oO|=N%{oX0tnV_Fgt!i#i3jQZ4T(4 z2p{iLSu94LCM)yQIE3dQLzB0r@Owo*sS!B83WX8oPx=+^G47v@ZLl;+KXtz4nL@#@ zZV|1{X4%1IU`6=w^G6Ahzwh0rv&`@TBzY5Q=csKb+c$;>dZU7cEJmJ!ocHPl!PG_? ziZhhqZB=dipSoslLXKUU#ZP#VBC}N;a%|aunZ`g=hKnI%Jd$35LlMX~64Qb+7LfO? z@uPy9BIjd&Lt+RYUy+Nc`fxH6|JOeMb;s$kzzn;xEz*_@NxpHuyKLHdmE_!uEH(&g zZGMD~vY4+-paV!!2SfeXWEX(>abl1*!l*OBGxx6%CS%=(apbqkqR!2=(1gY#2 zhrDBRcd={7HY%FcGYK)>B1fpS0JQSW?=co3tkUi_^koFDAK{1Y2`es*vQGMrCHsoxN3B>CW@P5@#{Nz1mbqipSG zKKA()=p%ii(g`iBPIXo7_FKB={3ZGge4$laQU=W%s%lvJ|K8FgkeKr$j#qO^6L| z04p&Q$&b~Wy%OwiY-&yVs{EC?kD7J(c>AWEp6yr{XL#HzrLyZp*Q=oKZ4_#Uh)hIS2pqD?mnU|y9-GA}{UO-_4#FNmPb&XB(0;hT94&C3uC?@6Bz=N~ z1fGEI12j$8j}><$Gm?~s_+bI)_r%YS>(AQqIaLr81ZS;hynFT+05^nz5Bs1$sG~$a zf6HM4ppKwu24)}vw<;|oSP(Gjbkfhwws(U4KL}TQ0u0vg9giE#rVI1g)k2k%0P-Y9 z#v0l!_(;W`h0=K$W0)=%+5~icmyO5d61nq^@nD`gC}w@!zAl2(m;|V;DQ&lyXd;NE zALuYa``mWqv~ao5D@m@11-j%TmS8Gmer0*i`e@@!`rrf~B>K8GIvcB3^q-)&);Gq` z?F1%}VK`P&oSO#QrUx!okJ|se(gwahZ~+Dznpl1AKVB^}xGm1jAY^7g1)$0ziQ(r% z)8)aXaEi&mhGY2RuMp3l-WHX6o#`#kU8FWgzyy4g&&QF%>|Yd^K^2fB*eXhMONxFX zFV^e+b`B%UgN+IQxG6*s#GfzZ+)xpdfOCe{StNL!=2}XfawU+W?Jj>vkykUSENm?3 ztBO~L^}TpyDY>H<>SKJ+8!lPW7pB@Em0w86-{ZPAi)9$p)&vq&sWR3fy#~ni()OG1 z9{0uU0jd;3`|nj&fZ6CI$)HXlOo;LIUz{qC+5yIam^bmIIJp7!4SRq_<;`3h{ym56 z{g9kj>~R={mMfnBBEXju$6W_VH-+QaMYFvJ^wZ)pr`yh$IHR0k4j@JCqTeKMGC_!O zib9D}kZ$swBm22(8Y1>DU@jX@sBDH4d_r6h36A|Ua*0o+1w2&7g*7~W4H?!YXNF% zp-(Co-*?@2>S=BytQIXf^uJ1N`z)FWq~TS(rzX z2W^IiN!Pp`t2fRN;c(ltFHy)~v?RX-@VR*X{u#u_Z75g1wT}hWeXj4k^`V-J3m>U_ zBPlMfpmeXM&p^t^c=3*VZxat&``LTs{FNXi4UJ?-_)D>+IYeV%k%g^au zFaIae#{MA)Wt6V{EDBN2&A5wg*Z8+R#kXUoy}J2IOYY9%V&k+*wb2TpQ61+1fyL^H z{cU&H&JT_~{(wue@%JHba8R-OHB&LEet7hWuiP&*y(aUya|?=!xSwhTkjmdEQOzcb zLWBa2_EX0SyVH);j^_GZV#u1o_ff5gF(Zq)a*0gYpy7@164Cd|?e2}1%MCKSV;M)s zl>2vpDQ>qE^E6MLKLR*fcBp!;JFQn+4Aahukwn>SSZ_w_?u&_h9CL&5^C7eaJ*0S* zzu=GxA`#*f!5XNU9*5qKRwLXGmA(@Z6y?=N7Dis`@_{^S6O!x*IEw%;N(G^*KS(+A?ME$^WQELy@Vr4Zg2vROpP@B57 zC1m@*;-%_4$AoXtIYT3-2#BDYmBsy&#rtfzge8Qj^iQ0UV9!pnY#!xxR&Jp=oSvWM zFyy#$im4U38oAS%gQ@({fE1o|0n;t3#Uyc|N3W3mz3;)*a$_d-JjO3TgoCfBoHlORW8_EG!) zB7(o6lQcOvC6a9M*IIVO9)T@@Mu8ZJt~4*e_p-b@B-m0{a&RQG#UYbLFNf;+636)C zkfFF@E~Z7Vu29fa$#3R`@~J4M5}=)jE$m9j&FBdUrlT4hZCFaADLy>y?0g;8c{4C* zCe=YXYs3WYEWgk56OPS#^q6g9M{8e7y7wvEgaZ#DjxUj|R(v{SP#{a8 zCIIXiCXEO)SS{6U@8z&AMEc=G4rgmb*%`nAx&ueKdWVb^r5E!x>rZ?6_sQA6&Z5qs$b4 z-w)g%dpgtyD6I9k?*@gssh?=Qz$uct_8^mM@BQr0%VU8u1(BfBaQV&YbuIVCcAVT; ziSq!!z-=}K@y1O7ccIBH?_Ay}4WNk1Nj_26ul zqV_YEb<$Q{wh;ZvxL+YEG8xVpgS7i!?Ccvu_7f01`VNeHQUmlu%;4XUz!C#hR8)qb zFtv08x&R6+^KU62rsWmy=SPqq90aI^m-aq)Y^DYK9 z8}!w8_gg) zC6SuW%;ie>Hw*yW9e)Q9>W(D+faG}wmVx(UQPM_nu8JLKQFd@U1PGrOrNI$g7%gxZ z%@v@!H^gODwz!toV(&lwW-~ikqkZqI9gJ&zk}aL=s*D+anwiOEG8u~pLH9gsMW}9ha>FsZjaB>e&A!bU*_A3i z|8kvn4L3Kp5xdAEwc#h1&if3BjMT}%iDKO?fqcFx%1 z&3#}VbMgG}U36)3O(VebE&8p0AG`u_06$EiYWK}L83v(&w$l|HTG3sa|V~o+s~|Sv5ceS0I2H^a)OzS=g)y{t3DBMy^O#?W?3Mr;5o}d5StK2 zNKBH>IkV28Q;mL7yRWJ-EDa&gFJ7FgpUvm<^c;Sy$-AQYy`aa(XeI$~Up*sRYO$Hc zeOrWkB{{=L{Oas;oDLdzPFW#qPh4HfKfZw;8*+C%i!S_2>%+xx;PRpx2d*y$t=2+O zzmB%HHmf#*X&UxpQW^g~j1>guxE(Z98_*d|Hg0UL!0BSFUjk0Bj0cdHka9*(#+3BW zl!8>`=sl?-1do7$3ffP%-I$7L5rfYAU7aDLmP}pI=Ly4&C~SdUFg>qPS>*}q@No&% zkWX?GX>{7|g}%~O6*vx_y`>QQ9nR3U7j*i&Hr`{`!EWFi_$QUt7kL>Ul;joQx~8wJ zdoL9g?U6%o0Ics!A9AGchi3RLv8^mD;`kmm5WAP&OT+dmbC^qJ%R_!Ff6m~3ydIZ9 z)6pDv9`vOxp~@oaU_fJGpQ&}z@+$e7O!uCr6-j1+e8UuxJKDg0;6iQ~Drl9`3H{d> zPM#x!k5>AAVc-O$;xmjyx?q*=!J`MLy-aPNgCy)`Zb4;%SQhTN zN^PojfI3PB>^{Y?EaeXufMJgwYjWwAVflVA7X*m58Q&ZEldFYZf}i7!)-g$}kH`nY znlkMIS*^g;KfLwr+6a*6E(Z)4dlEjYLOd{XESo z-SV;hCXDo|TVpOl;&5E0v(b6>|0zQlFJonS4hkz3flE!T1`Pnwf-yDHF3*QvmL5bNq_30ni|F2n{qD|MH9PCaXk4OiuQ8#a zjj0b#;u!U`DC>yBkM7hms%~rxv7pT`z2O{?z7wsVDQqhqJHrHsmtea-;B78?d&kst zKRUl|MqaIWX(#AIV8Xwq+(=yZh1ZMi=>7y|{@4yg01e>I)Ma--qGB6(Vu_yDi)4Ar zMx{8kLhtUm0q(aT^V|Vad|$G;hrwX~@~!!I3q)Qv1vBwuy*}=y0*@KkkZFyCKMnH6g(CuXc=;+fl`3xL{Q$=1~73$=de4%Af>LZzV=vj9YcBd zX5P+xSr9G&mrtSG;dn+#&WSawMh8$sDUlNoQdqjXI%4XO?bzxXgr_2&TQJQ%lzwB) z2HApJYdZ0jHdUPJFxaa^-HpWewK`?Q+?yx3%Abl6IOAHo-I#TRO=ILiN zg0*uYxd$Z=lSirkw)&iZ%-mlA9aiMG+YC><)1k}H3NTu(I|-h-uT;y`6ylFei{gU5 zg-oi zw9-ou>EPXU848j+&|SCDaqDo|V*TFu#e=y%O0O`wb;WSi@n^HboxmO8JOG;Y2#8JZ z$9ZpwoIU|wKB77DGO0St~+BC#`^-Mg^7_T;!uQY7=+BK5-+ozFy^b>?*j8OmC0;W5JHl`Dc z@`hhckBXYC^D8=1^BWf4~zsQ~!fx1Mt5UcOiQ23z;3Q8vXJKAITH%6K?_FHE)`dgLxV!hW@sWgM)+U z~qqH)Y`rY@yl%PCcu|di zKM+2lzyu6p`Ef3xNzA^;pn{-N4ooq>8hPwiT^8+ULQrB}$CpjNuz%@&B$Pa&fDG)m zpswn@2FRV0Af3{)Kubk`jIX~Z&2?SjEuqOGV!(+LU)7Y+?uOQB^X zD-jXWt4H!fyYsY&tHoC=2J}JEG^!vpluj~NXfKWL) zk{f@88#Au{OZimH#uLND+vB9}2U*uW58s|m`Cc-$>EN9|g)xJ90t?2HZ?k}h1h5>SGf-FEBPp10!nCu(_&Kj%LQoLoIse-S035okm z#1KC|)s2IwDG_BWsK0m z=Ik{58fH(6Rev#HT(jDnEAmViYI` zRWg>{Xd0cOVrYkDH8{~$U&eDplpx~msq~{jmA(w-e0WNpEvlQuKe4P2B)}3JD5!K8 zOOpcemi<+W{8xUV>Qg{YX1F1(d`T%->ODj|KuX(_*=asoYM2HDq$#}Z^s;s(kBl|d zsR!h>Ai3A?`MO5i8vy+qSw!(!Qi#=B8^@yM>B{HA@a;%K%if>uOSkRxp=03Q6g%#8 z;j*7_1^Dr$AKxb%2t7!kLn@`6CkflpXV`h4(b24aY^h~j894pPwd;_)$1pzYUTFu} z%Uk#^!B#ETrt*}hSo0su@>d{$j|e&kFq^h4H^4-Zy(UO!ih|*h4`K@Szw~jU#+3WC zr==~Y10Gd=CuerB^g8F5hY0Rt(pa}mb<;Dh0+MB)kDI$3|C~#IVCVYsA*nayC-U8W<{VCBD?;ol*cFxMfN$p{<2nBA3@!puY9tHv zYGsF+W6gn0aRc&$aT+p9!#f3^aLD{*v79JjN`JKxlWlA`13g3CLzI4#Q$)Q3 zD;y>(@M=>_PMwELIHfRpw1b!+RZmSq2H}Psy~@Y)P9f7_PB0J+@|eZwB`|DPEpAbFD`^+Bta6Cob>K+3X{h=ddni!+$sB@Gc!Y8 zL?K3&Mf2wso9NeZ9N;T8U_i^I-d#SBRsO zcy;fkkhv#}TDo%gO_u~onOL@(T?4Ae>UO@A}PxI;f%9Jqv!4CC-$?6Kt#_u3e!H>k-H$8jO5gHHk z-jAwna+tz|4%P&Z*y{Yru-zAg1*V;M9;CTIV;`ZtuBP79n2s zq!u>Yw|myfXk0_~1Eu?Qw#=x_oD6a@B=?()Cz{LJ|8s7s{C3^WH63qw^y*-6-H)s7 zfdOtf=={3Q=f|@ew<~i{t|`D@+ASJDovjxWLWo1BtF3X3LrZ}GwTt~ltu?u?Gz@)# zv6yaD9ker{`2-pI6GcjTq8-lMYfDjV`9ioI-7G?#aDCleXtw?pER6w?4g~iIISk@2 zPeUmXmOna=Q{Hwml*`BnYK7@wDvWT}{oqZWs$1Gh(8$6BH~7l;W!PRyWk}iV#A`es z+f%RSeU0NBbU}lM>=zf7s+7H8B9gn;hs*r0YFk@-b3bPR6gwu;l{^3jDNzz)n04<( zjyu}8GW%mF!oht*L*ce`KLe!@Baf?`8hXQ}A)v$+Z#Lbwqzz!zLScwuI(nHsz@<=? z@3;V@@}YQVH~`Od4M^R2YSPyQ3F|%8fi6dKJD@~yfo2YFZ2m|@f=R6weNf`LWT!RI z5`lX*38+fKZnT3)p^dq*1X)vj~fk-64C0@LdA&(jWV$|X$i zk+p+@B{}_JaUpV0ZfxfEm_8kB+?%XzW!QnwuVjT3H0<0G(rrCX{ooG9lWptQ_Za`y z$xb^MtYPNb>9xi+$AaRj4|13Y2m6nQ)sV+5qXh?RX_w3HLT~uC9+iY{kH6GSrdYp5Q|YiXt-_K=!e=r6C&O z;syNd7&8vh>yaOw#?6~12<+FRjRz1StrojiCl+cB&eo44?quU0S1*{UY8jkq<_S>a z${$P#R1NUCzynh<#!pk1+`^H6;>*DE=y1SDS4bqgrAZ(4bg?RdO=>1W2(gevzwzBU z@(znn(>p+5l?-XD!7mYc_kK`0Q z3D3ghhp&^tOEj5zQSXye&1;0F_Ei5aamW*cqa6b}gL5$wLLnyE6DllzZxun*h*^)v zCKoYL9>i7$P`uB8q!2AA+tL*{tn3@zO*CN9j6LA|S5t#az3F6b-6}o!1)x`v1UdpD zs<#)`KR=8vy}}5XaO_7w_A@wV&M=MX;-U}af%8z_O^@le70hu+KWYAa;pi;gQKmF; zN#JH1y|<-3g+)VQ9ko!*VLeSyWheLG^P;%@moMc&siJp1Y}?yi2+U-igsH2q9|9Pd z4T0+*3S(G0+3c_v8BBgV!ZbbzXh5z*QyjVC0(};q*9Sr8BH8UGMJv}c&Ej+|%lTLp zK;}w^O%ZHI4-DbK1>c+=0ch;>S#mHF%8px(TVb} zp!uN1)UwiLgP2Y9iC4vQ&#Kq%ws(8Ao^*Y5#bP%6Ht_@a%D~14u)})P%A4Oogaqs|V_lOQ(K74#x{{mVdP$$sx{A*L{#7fJ`0_(X%OT7m2p?E?*q_bS-27fq) zV@(_E^5_$oyRit^qYh*PvK3X+5Xm}i2d^)ibDeX-C7h5-1l&E0OW;2D;fW{{V&GxS z;UlpGGw-}T(Mq%1k>EurMsnv2I=mSP#Pp8hLR5H2I=nR*__|^oa6aCf5D~K<+%6U_saKrt%O?KPNf)| zZw_*Ndhb(HyQ{Lfx9_0YBV!adEyRr25i$D;*8i72(GvRX0}D?p9Jk-b!rFV^v?a#d z1DLY`X)~HVgb3drKL*mUpGGJIEM#6578dWnHl2OOV6GEATkt*!zzYGI+_`yBh6~yp zWFYXhi1&3)mkkO7y^jy03>$WKddH`->&#|ts_jv^NWcwW{1oKjqK-41g|mNp(`SpE z;IQWKvOt9Y+1kgtM;&5PFSA)2G=Bdk4)$wIN0yd|QFxMVf{E)NMfAU^@&HnxSMNZ* zmXPv;y#dpKrJ7oQ%}{(!w;@Gpg5kpLj3xHxbzmerpAOo0SqZWG`D9r9IYH!#`Ofj( zvo-8VGn%xO{I5Ikcgb%WK5C;{%8}_CuC;W&nhnb$4iN3~O;7w-ychpMgWJfQ3Fp}d z{G<6PI}D2zw$D)v>hDsb4VSjH_G4ns8ag*=x2w5~^6PMfw5gt}>-*+P8(NkwTO^WX zeCqyQYwLxWoz-9a=FN+;`eV4~0p-e#&&k<8&RP+1v_SEpR@gY$@4d#6!S)*?H7(C( z!*w~BE;aJ|Tf`=$Fj3w{g3hZM?w>eN`OifnF9?K_Pcu@Uyaw4D`wI>#dX{bLxOP7i<9Lqfj zW4*F5vt`?BlvGlz({`tU!!T)AXrlQIhe}e&E`p}i)2*9 zmJrNOtfW0S*(;!si}y#KT*RyQ|0I(TEX0R;$!}nXo~&*%gT$}cmP{mewN*KC zk=*oZEv*AD95$?ICqmA82P(>ibz(jlX~|@2>|~sa_Cp^dL8<5{O9pzk#f=2VIeS=K z4K6CB#h{xyH1Nmh(x13cd3Z`C z-IQTm5Tyi{;)=agzXMA!sssUQ`8T_8B7CIF+_QH>+RR-ai+DCA8Mfkr=A&0!VIO21(Z1$j&F_#N^5i*b=lHMle1ACllc3kz+`4uivfx$)hDr^ zbZEJe+P-K=&U@?+-yn(40(-?h;r1uxc&>NvVk}-IT8;XlfyPXeh5}z@YRGbI)z@_d zyds*=4Tam^py6LdpDz7<0>h*crO6#*ZIo3JlfbOQK1rOCr2H^6svS8YD-WP6d6N}f z*yKV7F{B~KS+PDo{6SWk>wa4x+IvMfSbUbK{6aiE(4nAd8A^p3jkqvtn%yO* zUeap5=ZgdOS55sN6-Kw8=rB^-3#}R%@a4TKfcfH6@$HTm*FY-b8xVHa|5^9YvH;J0 zcnSn$1fN>g@`;uVNMrQtByQ5}U~Uox=bPTI+}4|e_&o_w>up$56`NYWe3Dj};{BC- zd!huvbPZ$eE)*TdbntJzJCE))MGr-=mP3r?%<8$s71IdWfQNkR0)3tXQxesxb^DIn zxjJeV3ku*whrBK3MAkG`UBRf=wrk;|$S0YrAjYQw^DF1Tt*r1SVp00u6YOT(A)K>j z3tXhi%O6(BJDw)G6ye>wu19XX*y#BCmHrh*hKNGjLE`H_-y&~a864fLQZd+wt<~w;ixh`fRET=Oh<{ z?U{DSFvkFoWUeeGeru%gmDx|???r&JTZ3BEhcyINC&NUa*PL8p6?xCR145z!hZj8Q zS0@uZY0~6#>LoaoVk+`y)j-dRXwy$%q0-UCoDNFH?cN#~<&;_=fY#Tw`r(EegE8tI z+;WbZb+{^UsL&H$z`AEt`QJ+uWuwn5#07qNY0ls4K}1LCLFA$BTe}dbR+uPhHcRcK zngfy)=Mal_RX1wRlSd#%q;IMO8Z4dEGtNsdsbZd$ZYACao}m2gbbuEdC4kVpZG8RR z>Ww&!Kh%^uCNQ|sNJt#!$kxXN&)nf#*1t+@Jvskb^Z2E>3D4$4x*w4g+j6tK8r3#* zIr%LXHR`dVK5dnG2{@} z2=L*o&7hA~96MP%n!t5WYR&G^#d0Q-_x`)f z1VLnR-E?J#X4$V%i}yD_CGkjn05}$VOXMZ4U1?fy ziQ@2Y(T5ce=>hjURb{T4A**BC@x*T4bv?=RVck;5^1&rgCpfLo_ez8y;RSP5dO?cG zjKES@HJP-Ol3b)K7#MA7MC^J5Unn}-KE8NElY2oV)=7||N*a|mY#VMaZ$Qh%n0l6Y zH~*#RN$)<-wf(J8>YZFyU8vyo&r^yM!9Pu;Pq2i(9LOIZwLmx+NE5Mr&eGFH#w#Vn zhnZc*+~6w%9;~xygY$$ip%M{TpHO~{G&2`!fpcuP^!Na0w*H%;4_l8a%Jf4;XmAP9 z$XXFPY!h>8J*1fC$vpl&6zzq}#RVQgKv z!%25R&jzJL**Qek(c`&wxyp+ltQ=2+`ocXd#LPHL1XBt(h;G4!Zsd4_MO?V>V{tH$o=JS-0d z-)(OGC+%#<7wz=;%Xf<|q3u|B&o}^O`Ht;@#xpa><5L|UD9Q|XqpjuG2_(O)3tB4- zxM^k$AuS8HMwNwKiPy@x$C7Y;`^}9|zoJ?)U;Qb6_bsvH(W5AJi^qBFrK2oF%=@u3 zdKyX7oL?=aMlV^Kw6$UMRV4X|4zlG^xvQ8btH1UO)5E?$C*Zeq@u3?HNq0}L!x1!7 zvzBEk`?D>kq>mU3Yt(kn<29Wa@3E332-LPhqdqlDyyhKmxo8i)6Vj-&6x)y>C#b9= zwggFY+LHm>_k?DHIwH@S;cTIfD7JmMxB-4oKajH{7Y2NvWack_B1*Pesnv*rb^FfP z_|WpU_|Fdn`fxNr$QQAA!U>$QK-!_n@>Wh5TzuKdm?965!AAQn`6qm%VsHX%=t(I^xxw8vlujo1) z{<;gIiRXVA{J*V#7#RY{t%M`(D>8KBRJ3a5tujM+o-r6C)XlgY4~5r&kR$@>+0lnE za0e2=kA!I1!9kfs`C5sw@FEklERoP^lqN7rw89vdDCf3PM#2VlX&p| zFRVk5XG_Kr5>f}kU@^3+vqrjMh@iQp%cM!7Zj}&OycOo`yROGZmWQ^P>3J`#zC__P zaXdan(E(32%22+SwMV1suh?hoeZIaRxCp$L7rERT7TFXzWeR9Fo6MW3DlAXz*Vnue zPFjM|7Yc-*FE#8v!k063aDdGPKO-O@qGjjJV#~++5eXTQc=ZUKag^)VSYn|}h+o;1 zedkH(cK^R}Zs3@&ias(-B$wj9BvX(VdX@-lHp0|R7-X5#XoPsHL7%_m8z=0^-6I)6)cI6`snX1b!w@MYWyV!GvAth5L^=JZJ^ZUsy@KM0U)|II# z(39tA=Z0g;m=7gDGj~6Ja66u*a$lC|fPZ;p+@-qAdlzcR@r8^@UsS+Nz7L$Sk;uaq zP;*drg&JP^ipe#KLL|S_p0_o@?=Oqh$okHuv)2E$DX;az@K`tb7{b_gO({AL1C12; z{H$P>4T}ynol7nz~<}#NEbUzE>Rvu$s#oK=(P(HZVc5UHYYwy-N z!R;^iYK*=%pOc``d-p%tkiH%65U8!^)N^~3(Fd1$h}n0&8f5g$Kx><87 zx}7M-c>4i3&TE|q2;Uy(hAt)s5&42U=WPiwcTp#SU3n<0BQWa6{fE8Rn2fax_r z$*-AZ$uw1}ul5@qVMtnwvJ1kf?^CD07DhHP0kWIjqnEC~2wQ;7Dzbq3D=Q z3e7%oi_G|L@MX;TQm$VNdoo3KNY7AoVaDRdvO_R_NAgR~yE&a@OY4O6>JRYK*~(?U zwMk!L%NVs9y@}WZG2LE))K{TH*do1bBH{>T!Wgv;syea?}@S#j!FqT z7k*PNE`!;xadF7%sceV)PxEEIor5-o8q7MhxvYOq*F%tI0@8rUiqfoJ7rjASuOYF1zAPVFTmMx!Z*Oxxqv)O(1)IL{tS!0AOfnYX`UwY3(=$0s1eiS#_IIzKi?KB zE?S`|FYb>wp0v+cQ9zPL5Hh+wYOXZ3d#x2{)01I8wvwszYShZ|Cer8cH_I%FK(267 z$5*5yAyUfjHin5WD8EW4-#k-!iYY^fB(Sh@4}M76xIEojpAI(-HZSW|$xs1 z2c(lqyMoIe<&O2sU@qcs0p`>jbXstQh$P?V$Nd4o`j^Pu29eq4#ti-{D${68-uJvYJ=P^i4dwK`%<>?dSJJyWy(D-OS4fAS?5E-LlM z$8VcVv2X@L$Fk|HQ$rj?nHhpaCs)E{TJR$^$?kRzhua=Ul!8}&MwJyJ#ZW1`PzF71 z)Vs;J)3&8(*~J}Pl7<0#KAP`aj%d_|!}CoT#(FJJsvpTuE6O=d>ZH{PH?x5fOHj@H zCB`)m^;P^Agy`O;2CUnu_${yrezBB9L#IZ5CxN_d(^v-s|`G34wjmN zq0Brs&A3;p_3Y@U?6T`ZR)@QaoK+o;Fr2BJeCFBJ)dxIJqqxaJG&8ucoC|0)ioGog z_frW`;su4P>g}4&=kui5!C*Wo>Uee0o8zV4Al_~>NtplMZ2}B+!l_>mOhg=Gx*hoM zz0n0}JN|l80nDM{{+I(q<7V)$MMO-@2ouXq9d5^1<(}PEtyO7!=>7;WCx_o~-L7PC z^;Z|C7bF(u{j%`=+vo$8D6l>8l1!8AI422-u-M+mS38F=-Il;eE&tWI111IUVF()S zryJHYRy4GWrZ{lT@}{?8;Y*q5;vWI5GB_>8+{qB7h6*sK_^~dZgLG+Zz}&K!#qir) z!s=1&oO`aWyY<+q0RO@*6ryo)bLrPvnz@7(OJZbRJ8Xw!HejiQ4i=52WH!}07ZIC4 zc#UP;Mj)1<^)z(&h1L>f8rYbxsBKrK%_zB&W;j+@JyH@aj$PC2`xF z_z+~A!|Vw@vTG5DI56JH8VHsfJ ziM=zf6!^#=p6K&jk+V5+*stgDM~*PQ(lj3DvNX^9J18~CJdCz)0ul@}tzj(gyRJ$x zdQ@#Irhm(2%)2V7Diswhvu6Hqy+HFG zxba zUlG4~)Y!p9JfY-NT+Z8!f>Is9!p9I-b71b8zq5)sS_FKd4L+!Yr6RF`Hw~QkVkgVe z40*Uh!Z)PG0}Yy2ep3G3DTxe9xg*h^ zx?Kj$ILowts9nhPT#I}MP*6ae>q&k=1OdW0$@_k>d;;TD{a16Mwo&KHQgdQ@j@nR6 zYKGo{xI;Jp;H*WNxiVepf2!PxxkyrK&>boMC~QK)ebY3#cN2q#2X(R&*syR z-BvWCR7siaja#~8L<`KI>DxRNk_~QMIPMtg`zBGbxfW$MxuH6fLGIo{Z9SGR|M9B~ zAeTtN*V%(2sHT;#dGjd8Lbxs$SrfwZ(Ea*`aNFH^MtzQc&6v60aQG*2^X@f%IquVS zEk76a(96zY>g3&Iw&ZYQRd$Y6aNaYDRGg4I4;Mou*MefAP=c2WwmQE}a=-_F`7u>7 z%f-E<1WSE$XrfbLGsP5+oqq_^{@)>DT>^z|lpHY>q<&^=!ICjhe-l7JVgdYJm@Fb7 zzl4G-TzsEJL!_ieCPw3w{ls!lvNnJ$zo(-%==%EZ+yd^m(P{?@pp?Xsnr#nT3);4k zBVVtCQ=?iIpJ$k%7rq}4h|OLC)1va@7NHJqf-D{rRue8I8s_li{P$g;EjCSfUMv~1 zxKEG4Yi6e57NTXHOh~-e*=u6jiJ)cSVNO=K`U8 z@nDL2OA9OeeoqA~>$2!zi9~yLK8QGuTo(?iU`)i*Y83hDTPK3Tc25or)NO|b5|YW3 zXlUaH73>#K$LWOCd6LLXqWovLU|J#_PH`pW*Dyl$CqYErR zi7|=o(VX%0VnE9#G~lHfR@Zyu!}{tK&ws86Eh7R>_BtRer6N?FqHbz};wy7+a?65! zr0vP}=`oJx_+huqVXrpqyLk=@qp#&gg}r&5vcNLi_6W6(r?fnRirhxlx@ivljwzp+Wf5(@C`Moaw+)cv3qYg{H+n{c&NY*C zleC~|MTII$%^dvQ5YNtDLqxgHl~6$)K3bVCOw7Rc>;q~xs6Z6z;CwFgvDc(rE4ky# zOJ$5dGw?86#NxN5AsA#vt6nGEogxSr%Kr1CgHc0G=dkeUae`t0YS5uoYValHI9mwo z$BM*BM23OX@qof6yjbB(@%2D@qJCb+a`n?!@v@&XO~cS}uxG--?Damk+>y#By>J^G z!Wl!$6+Ru+0`VR>{{&;Z<{Dy0#5?#w*c+bg$G66)vrmKig3-yBQw1`k_x`>k58=BH z8qMr9`fTyT*iB0=9c!tD^%(g{=%8w#mk1YhvxX$L2y3GMham=?;w?`@bfw&aW2z zgDOBSQxVd5>`P{i^7mXU?L1DV!QLhrkSQC3X{A(4RhueG5c>!89K=nso*0|Kl4oXY zarFNE!WidSHM}`EFJ^N$S!`q2BxO;&Pi4_Wj+6w27+6ZU^U>4>e4TWBO3DjaAnk*c zvs@Rufda!QBDk1o9eOWRggp;x+$8@owMvKq52Ynaa|=D-$!O5(ltiqZc3Y*Ot7g0e zn+g;wQXq<|p3kHvp!s#1X&gD0?~ic(pTQ_{kp>I@4<_Hgp+5qhJVB^KtQHPaKFBIgiB!+ssMQ6vus_sKZL{stC-l~eeCn8NtBr4@)9Rnul|z8c0MUfehGF;; z0Ax3U38VLmk5+_Xu{$x2VDj=IkNHZioinFkCU0FtF#7J=8bZN#1e?^Og{3~DWyCC0 zi3YG&J^^CPV}7gUUMvGWQ0upk?Z#{6Mmu~bPXF9;A2j()GX|+!msVzj?>G;qpZ0}M z{po%Jmit@%o9%d|Dy`Rzae*%hs41Drc1(=0bS|8q?GWm5rt5NU{j3T4SjLTR$tRBV zJjB0-i`93ik2({r=TzS=D_J1Qg1+WfsJy&}p5)7a3PtojXmX#pE*qcnsf&Bpspfte z0hw~=>@%(yg^x*_zF&wC75z@7%y9=>~%dm7~)Ix#NOd z2{5lo6<^KCvJLy4mFPi40)Hr7Fy-H8LKE{N?>zZ40n2U5kDjFaCWD{P>417of#AZxbIy1qQdE9Eb#9%v3A&sENLKBMiU&S&g0I=11SR#cj4pJm&f0MSlU4R_q7u6vu52I`B- z(nfJaCC4@}X+1pWv5}2Z7%dgXN?R6=a-gszmI_&}twVcyeZ=AocwzIBQdJh_wJPB@+iXeh11YiFGH@-E4j)rd zZQ~p*f=xz3#6PWKecQ_f{PeGh6j(Px!P4ylax`n8vv)%g+6qbn(!ERVg~%y!YKk#@ z`O|=-bUBEX(S}4N$PO*jgJv{*gq|>7ALxDmKK3&}}I<+o5{G4gnU)8pwRh<|iVFd^|?CewfV1pl%K1=x>5} z++1k5A2w3swHt=gH>DW}*zKa)DD%WQ=3C1_W3Qwbu}!!G#6YpMrS#OO;k>-hns_%H zK7+wVFsdpoO;#_PSMR4r0hPu3f`GCvR-e!OFkg-TWWt0XOpkVQ4ClP_hjZaisie-P zm}pVer;efgoK}c(tiO9{^NX*pZ992_tpD=j;>r%0+tc5wJ9S;GPZ^WNPBQIl*~V#? zXpoTFG>lZmxf~(@_`-ksCvqN$gd=;`EcJ4;*DSc|@}*S?u`=&i=~Wx};gN^Z_uZ`y zl92WFmx&2a4O0f0U~9*9d6gw%Zfq!dC=N&_MAzB^kw$2;+tWQqLFmD1>V)>0R z26)mM9@#PcWfy18Q@86S@_CrwMo=4cG~|0e^gMS3DRECK%@ZtIYOz`%nVT~=_w0eg zR6@Lh@Mp*e{7<8heb~swARwewVDL2VVb5`m)g0sQ?rw#CE8<_^(1*>0Nt$5-pmhwdTXUx_J!V@yu3;w2=`?T9 z{{9+$hiK}DB?|feR)pJ=U9QuZH-X=O3(XlCrTcS1s1=3HRm$>fhX2<~5%|pW%w}mm zSxgL1Fhuu!{+3rG#)r} zg-VIoO6k`m%A=pMKN4;6^(ApgoAf6m7j)uY*RQ&sySaHI%7Y&-%-x1P^y+J>8)=u! zS~v|P^=Ja8Nx)b}lTs?=_`ju>f*Bl`T-qv}GP{ti->UDQivTfllDcknZfyPG(A_T&dVb-mB5@Y=w1idcq?_#-7H&DXs&YM?n7e&ufo;&i6_?OuXr~roHtq{a+BL(sj@6SFa|Vmd!@r8*!oStZEx_-9>5hNm zx`&oGJ9J23B|~gQI|W!g+53RTC_-L|6xge)nsaRL-OmnX{tQeOuVGmfc1J)G%JrK9nkas)a0h&J_bP75t-D5$$lzi#xT-fl%lW$$au zt%--I#s?eCQ(?a|=drfl-#!yxrPU1cPW+XV=D5f$8Nxb*KA;M**|y+=$ zdyGzaJ;H5GU7(WKhJlX|4NQjpQf>4Z@PV;^d`behaD!!u|0q86S3x$~R}U+}_v%)# zV-9Ige;UIM_)o`Fe}5@1!?Pm#`2cO|dDy;Q@?8MX0{ou-@Rj^1b=W1I(we^4Zw89e z>~rPUP|zRsM4FuC{%m~PFiT30!2&d{pKf4b8iW*;TuEMy7KDc`k1Q6!XXCly0x3TU zr)5G5f+LG17QK9DKlJJaK!J57yv~N1NnbRlLoR8uQIK(i%ceDPrFhmXC~`?&o@CDb zGMDV^F8*rvqD}kVmg_&>3cvvPBZV-7*$oc>++`G?syb=y?XGe->tOM+)v#qf6_lzc z2WCf(fX#1-V>v}#4g&Uw_s1gl)Bsbaz`uPHIfq`5eB!H~HA>urCujAoY;G1l#xUyz z8j16js=AXlK_$~yJow}?Y^-1_9$6;b(ly8Hj`bHj(LPp^sBYR24e?AvcqT_w-Uj@c ziL{)EvLuO$+75QLj5;j3DgHw6cOkyovdRkG(0{H$aEcAr#b>HJdg*iTU2`Up=sah)aPn7-VZ*n zP?N*&Z%yVUXw`?g|9BVO;Voa@z)W5@=I{zZ*7M;(dbeBZoqWT5+!PZpz!~&+wsOe> z8#k}ntmnQv+8y`v$Z};jp&I}bP=Ns3g|4`4dU`tWqlo4p`>MRL>p}3Gd!Ka~b=VF) z?B{h4TES0c(uv+A>n2JBN$j`Kt;ixV1_Bl6&dFsSsxReB;bwVhwzJ?)y<+#TAB8!B z>1ls*s{PFZKu63ZPhf|&(cYtaEj(5YJxhOWFytppY~FqDF%w=+n1i*n*##3T&cKnwyPAd>G&e3W0L6(SEUPGU2Lp@X>@ zx91~qwX3D#^T2{fNT)i3(`~A{B&k$fK5kDj?;<3`x)mF*q(7<1+cZv6Zjw}(zYk?^ zI9sGq3yCaXxec5>yeY`*Q)kIapIf#|Fak$Z$r6W!QkPwr&0Wk<$q%~Jx|~37VRMPG z2S#=V7ggf687mipzI1F!`dux^F<708VkLjrGoNzNmRuz=@f*nAg@#LD)?OCsu!Y|B z^u*_7C`TFV=uaP13bRg`uZ>3`CEE2Wkhoev<8|3a)C_&VWElU9Wsq=88D>L|2&fwN zh!+>`>U~iM4(^W87bS0+&*0kwzEhqEBai0=PzVw7TIL;M z-10^5EK5eu-3>N{( z*)1~zO*4Rew0i)$(g`1;t*hxo;vrxQ=*=7vxw`ER%Ex8~A7B8Z03uQsZ{j&222qGQ zlwmP^1jO}fnfpq)s1uePzVCTPlH=WqYXmTKR`+`lo{+!-g5M)C3UiGO&}P70p|fH`|~He;Padb~uwGqZ5#l%az8fSj`FgZDir zSOi9;X+*B423G?~t-7}j5)T7B`J4b~bSD0D_~_Kh z=4d$hUqmM}ehy{a->i$!z0`KAw9`*16AnbBh{(7aD|inC z8b=o^ktqt7w_Z0ZPrDv5EvfLGCN%BvE66Z+OGiNmh)Ejw4Y zac_i5yV^QISdjtVrlM^f;vkloD>FGd95L;GdejNzLURMgcAW?lJQgo=&%N z_8(U1A<7D*Q{wbF=p?n4!`4=@_S<~^pv1%mAEC&;_}Pjd&<@NwC0hxfl}GlxB+{WV zO?Slki|o)2r$?Cl47PMYo%c= zGXi%Ek&TBLw02*y98vwEu|dAiR8-llB>@d|}{%re``dG6)ZrWHoN?b!}r9!Do4mmU%qHFktD03eu1sBi)kQ~ejzDCkYj88@dn+W zutQ8ku)0u@ig}!(uW$KP$g<_F-187LbkZ1N!rIMe;rxsby_mn#ImjTAM*AJGjF|0o z@ZIAy4CHSBX;v0ME18YY3LkY-OIyx%efJGR&$VT8*ebG>u5*|L25}ha(p|EZ$ihS& z3|)hInH!jNM#Ijc!;JtAm!j@6^qRQe)HXc_yuB;)^%Vwn_E-P?P6>_33A*037f}Kv z`8@=&!hAM^R(yqdui~q?Ws$SdRsyelz%zmykx$y+DMmfP`AJPV8c1b8fbCwy1$x)Z z3af`fM^aFtu0&E36JXz-rjm;5b+BV#H|0Cubbf@T|M^TnO$v&S_!1wa=XLoTVPgGL zgd@s1FocZIMd7*{jc{GJBCB_$qC)0CLT1-Z*>;kruIrjt*<12XBdwYOTVUs#@b#&L z8)A5Pcuz9%$8rEzQDB`|;e56;rGkjlD{ABqocZo713*TK4iux+Yi6I%%*@9gV>i8AQ{>ZL z>u*$=pY=d()P4*`(~7F;di-^!LJX}Y-ak6Ks}oA*ch^1ScPA!5{QI#CZHPe25V;}a zXsDDR)&c?Tb|bK7y9zi;LtMVEpcNW<~eHrggOLz(64zgdKjHt5^HrF!$xlPuB1 zfp`|ZdDHXH&t&~Kxdwr43BuRX%Mx1}367{i#l2oYr32yRQ`3sFdb(l|3jXYnlLNoa2GqGU_WAw0|_i**N6Q@QT*xDjs z=1|VCp&kEK_@=wN4G(1P)#yIhDePQ=5$$hau-ldyiS2C#^O1XnF8!M_8_CuBC5LVb z3fstDMCimJ`4!JoL?`!@$p&XxOnbWWP9ZAGi@tjBSh=K+GWE|2l-xyUeS>uPmkyUk zuaG(t5;zxD9_LRK#od%a&&~Qj4mUl4Pd1u=kt1$u$}KQq9tB)ZL5VacV5?wB9>?Af z0CZu@qdTr*38=?`?-P;Oa3+!;`TjEFo`C=z2!BPqVdIAqC9bU+U5(d6^8hrE)!t7JV@V9DQfrs&$jrfc- z5S_}+o@$uhDY63GQ)Zh3F|zkq;-r2mMpgim3HLv7)uEI=FwOWEy-(hd>e$tXXcg;f)_{UI$k^JvyY0ZL=i!}4 zI=lJy6lH%}N(|MKYtXI6_k0hr8-X8mPLuIRlN7nwbJPYHR9SJlJ0F=bdaBAU*z$?V zSr84r@@}lf21w3T!ve_!HQDECm)_GD-gcN?ExS{pnQo1#$I%_5)~8 z#Vcu4lVeN()>!rGut$!)KE!HD+xmej8eA0{VQeQq?xxt^CT=<{H(+13RKl>47Ycpv zlmH|P82hD!xN@OHEb&`g7VA}F6FHYme)DP(sHwo>81pbE4mBQ1m>}-AFm)VGyg{Y@ zYqC%X8_e)2&`wy&mx=W;9%uB67~x(bZ*{>P6Hw~~Hs}7>XxOHC&=Kii9A=nnG9am# zy+kVNXCpf6KyF>St|rd{7kwnQgv``SlsxH0z6ZffHxZWk51_V#DIy-y)8ha586`w& z(M)BXJjWhjhr3>;>y56*sr{?pi(Vb?(ispKtPBY3%biU> z63cF;Fvt28q5w6K{(Yx@C(pg}4k633p=ehwp(8O>t(imqiuJ&I5h zYBjP^aEwO6kVBkTvXSW1##+OqT^IZjTea=arh&voM$|S;Fu?}7o$>KHdf0TflOj*Z zJK73bqYD96<$yx0r@O^`LBP2_C}nCAf{h zleW# z{_ZAEFV>my>*remYpzXKL0m~Zsq;)tJs}Icv(l+=c_e;J8r|d^h)WvYJ9o?aeQ(fg zztL{btP!Ae-B4gkCK*wH5zj{L1S0nkSX@Kb3S{5CG??%n#Jh+H?N>GwuO$ z`13{WtV$vC=vhoMLlE&hK{NwK%azzPE-tQDKCE1bYyD{>j%{QsH$LoX6+>Sb; zh+*hWOM#@Hg@8uJo+5=RI~issBgOD5z0C9?iTz1VbYbaZZ1DC=6cDE~{bZj;--!<&hQ z{aIG6d{Vv*hagwH4^b@9y8fuwB+&x6ZzsrWW!x{-S4&4&ewzE$X3-yQx5f;ST1e=E zf5;aq=LA;8Vud`_^`ik{_<@Rp;r^5^_zFTkhUUtzq-PfS%!8ift?O^CLazz)?a&Oo zVpQbBlLYD1-j^>Re^BGWVr6}ol?|dt4EaQr`S7E~L2MBaQF9w5MepXJLQlhhg%2tK zVf#aTMFo2nF5_{(s&^ycwe#xhT~~|jfNFp|y;$OF;WLdvsX!!oX+tz|Z<@hWQh$g< z2)`?~^WH22DUVewf{VDa%umlH485oaKSD(<8{2Ej(Xx7l|?6w9tS`v07@vsyj9Fc zVT$1mg8aNyfTzFW5mpB5Kp>kN5ATDDZjU~2$45r}S~=i;2*>Bm=RyozKb1|&vZ~?I znOUBtQPB6zt-{_7v4jIHD)>Ka;?MbMo=7k#iz%qf-~se6Y2h}M&AkP>H|d#7WEVLl zr@GIyo;Nc|pWmT};5Gf`@4(+8tmUE+!)bi|s%ojNq4?@|qG)|=JGhb_hW2P-GQ{<} zrTn@e3YWMx@wHk4&L}FBO^6GMio=sCQ*#HVB_#7(34z7&$GvW)dHh0aPMTT1hVezg zpWlD1=qLCu8NQV;j#Z${#hSa=Z6uq({DhfE$06EdQ&x|C-j@d5D1ef~e6kKed`!*} z&qbWx$tI}TcQ>e!63T*)v`NNB1Z;BW<;c7)+Mhm9TKb>Kl#M7IKfPOe8mME(e$8G& zNqnKCr2*v-g**89Z;E@_i!{Qes8`YX0t0oI0_||C+VEPIX_$Fe`CwAfGoi{Jz88)4 zC5Xm4>@b^{CkP^Pr1%)y#!s|EW{IiNmv!tw=mf#^TNd`~UC*Nzt``l6U5?PusNi%G zpEPxJ4j@R%gHc&;V118$U8`bwlMo|ZS2|D!;YaA@S66Zu%EhHmmJD7$tMg3p_qyXa z)V1-s7!VRsO&D_{KzJ#NtAzB|4+y?bd1s~3Tku!WMnTL5r`^xB3tsLThmTP9fnTn_ zc@6~Ocwe*+n9KtEPi{X1_a`k9XaZog%A##dsHpK#sNPL>6ph0wz_0nv1mNv23%8jl zhj_*)Bg?MU4}(y`&h@i!ay5oam~^nNSY!&lR^@m%aJqe3Db2T@M(HSNJDr^MoTckl z3RlfN7qBfsFitjbokHmC(xum=srZbWQJ}#nyOwF~siN=r>g7FS5|K9DZmYO?*(Kd3 z3!kd*o&}nlsaO&=jHOO*cF9W3vS)4DYK2RNrEOW1FmC5PKYIygkto=Y29?;UJ0SOj z8Rtq#fY~kz&ZL~z!7dRd)gDSE7k)?r7skPxEB@DHe4=920Wa1a%dg&r#PP4LW*^cw zp>%zwa+zoKSX;R1Um$zy(4Wi|wA;Ii-9;Vdm@iHbj}M3SEHQwkR)E+BY*I7> zD5|GY*cHNCE11>a4Lh>fmOans=z!W2sZ)K=PVcwC_Z#iOZ{p50h)++&z7osxmN7>} zIi5fy$9azj!x|2!3OUI>Nq38Rai<4NZZIG8lvUVmqL#0Au8*)aK6zJQw4uJUiu<(G zU~@0%kW=FAcl1!qrQh!|kqnq(3GHIB=bVa>CK?$D!_rIN_F0O0JHB}v>^}Z+g)4E7 zgV;SSx7PN)e(}lfa)iiV;jDbF-Rn!RedTC(d6Ww%~LIdywy`H{Vz(xt>Bk#N!Dl zZrZw$8pFWH9p2J3qFo`$?^pe8`9^@4iC6PW!#=lU3f-7bR1RwNO_QRNI_mo&9xasN zwGgqVM^AjkPvA9HRnJYVMLduYq~GHq=4L+A&<=p2E?v^ETqj{I%P!6$?WE?B;Nz+3 z%4?8#IAi*(lw~~M{@m84z$Mu*idq)`xS!{Jml>BzCF08-kxO*|lrg+`la(?uh-?pHesZ)r0q$j}@KC z?~Z@99Y=zU?TX;6L7AFySg?(S~B@tpIX@BGOc7K`=Fe)it?bzk@IA{eYbwK1TK z(|YJuqGA6$2+GsMzISgzP){V4I^4=HbMaN4Jhs}pf&VP833v;DI7g6ol!~?$#N$^LeIA(;YB6Z_BN;grt!I(61 zi*;6EK{-zoQ6(M!(}a4l^ZlUTRSj#{Ti8(WcZ}|tAE2nUO^cUYIm1!kaPi&VLIAEq zD0KT_B5eUFjT&j^gx#s-u3V+Onaq^0S7xu1>^3bhG?qP&c)f}OP}o|L)+mN=;C*Dj z!e|?Wc52?aXY;^(9Csm68Z5M+?;3YWkP07YS%9MhM1T0Av6zO}!fq^gVz|UBy}u?i z@7mZlb7#>H&TG_9wL>s*(J_4p^Rncit=afqa(ZSnP~L{`;z{^2i>hiHs$qpe1`TQ7 z+Mk>ldTC0CH}szI{PXA_3na}uzlgs_z52E55lFCZB`8ay>1wc~*jt_VsJ~}O$*0tt zi6VM$=!(cr=&sn5U3%$>{S=5dV7s(f=||F>^YMO1>g!r()7`EZr}qNNh6-jXvepYW zJ5yC#q=@|A($n`S=HiE2gyx$#6p`tz!ARu3+V``TF}qK(`%m$tt!3exGMiHU3(`6` zx#jL7D@3@N!+DzNBT5GaguE|QmLJ?a&W*)qXy1sRa@F@6^co7Rd)btp^efa1e8q~LB2Fq)oM=rzKtH* zPBjerHo7VMO2V%zot6pRsR1?qUY&d<&7UGo4CUm9m5k7PfBp*9dpxPyM6CDg9^+_P z0{X+hiO9+HiOkcHu4k}ubEM6mIvn1&B*&~1IT!gaxr;~hAX6`HemPT*CS!f+7|w&L z+sM^*v~e1<0(66(^>O|CcDyQ%0WHYfo?>xzmRvV|yOI($$;BE2STX{0&VIT2w9&ex zXb}-KSwYRy!UiBaIuvTpyai!6xQj;ADCJpFHp`T_R>IGO61c?PSPHL!XQZ>%P(U(T zCD3_WXIMFXh)uuK!<&0$TtJ z2Y2`Dt>V7FOvb-hIn}J&W?UJ_sZ0#TdK1mS%rIvc@^Pg&W#-*aO?q@LHQ9%&q43b4 zEOED@+f8NJMCN!Yp{uBx)mo63+r=H*7n=(?VK$n29X$iduh*9ip6|dGj?ly)Bk=c8 zJr5PYbar5ky~gtrbzPMrFE5$DB|d^7#ZnhnQH<(8_mao`aTpzP3an&#B4d))9N0b$2`ch~xn`)$M8MBFe{+ z{BVEp;3?DlSMMlA46jCNNuNDC^>fsYx43Vx??vHd^M8j6Tn(H8#?w0!Qz>gplnOjC z+S$e=p}lrWeFhaN%V5 zvx&lp%YFp-c zoPa&2$9wy}**do+z>09Guvb}w??s#nh+e^~Enrp7Z55^0dOXoJ77k=?AW33{T^uOW z&PBuknIJI~_ z$pz|L7E+<~u9l0tL)xj)OKbcvFPG3sZShDpigl4X^nvFg0UOc zQjbX$ZRbOnVJ<~qns9g`2~ml@uY(tvSAz6JW~U&zlSg?L34c76#ouu5uaQBM2Ze4< z@4TT0aunuKO9kwB|Luj2}A21R9}X zFTN!L?G^94`H(Kp9Bo^omg;i*XbYc|Md?aK_EzIXgU zcNDa_ioiJ$)9I=5`MGz?l!kWl>e6^c5$u-X_@BcbRo36CBTFD3r@mXe8Hh*wxQ<`Q9ra^omv({GYm25*s&YGqdO#h+ zlhH|QCE6l!=LW96X=D;s`9-kZ(f>R+3Ti&e)yBhTh9SqTb9o{ zx%RbWgST3F$vwq%>FzQVu!?JlbKCctq?DfsP7@SAb0%ECl@XigD!#i~3X@(AJdB6; z2mp?2bd9?EIL2aWWBdsE*;Nv?7Zq*bu-TA%$p=X2$D4Y*A#u~!l&WFm(%(k=9(flcxMxo05hu&Pu+RXsI2C^|;$EDD%zWosv&h5)CF zI%WGUlYJDRf7eeyYyJn;Nlc&RmSMgwafDg(v+ldv74yn8YXSXNje>xWjy5 zM=rl|AacI*W3rIyX#B#O3LJ4N$%1D-f|1{K-xQLtEMss6yRI7Cb{ccC!-w?@nCv)M;xNcw>XTd73>7`CTmM56igUxO&j@HC z1%(t&X;leGnz6ACs|UQcALQ{u0WkOsn)B{DVc;ay`7zBQP0Sj-f3|j$N6f=BELA&C z6B@06!eVdn%#e%<;`%B&NO{bat#JQAfuOdK2#3K<=?xH*l9}wWzXo5B2ZE^uxM{k{ z-Gavf$4E4eR_CPaJbJrd;YQB)6X+@XTrg#QicO_{Vq!wjSFufjUD?>lseD8};5g|c zfDo=?Gx9DuSCBfdy0laU)tE{*o%dp?Lou3PcmK_AXCdb18Wpafsm>L|9+Z8!<$zv} zs`2-nO}=JuJ3SnD{&}(UQ3BZ#by6HHDmm+^D{@1(i#|QW+@j&}XzYNb*X>b+w&d3=9?$KFFc zZ@`QjrE2k{e!}VY;JLRxzr)Ukyii}(oxCZfe+F;hq5x5Ohi~_lpV0~jA0r( z*4k@U!3!FoFSd`Qv~X-VYzeUTD% znz#P~QxmWW81kKGHV-BC$WY=|BSip1T#q`aXe=XCb9yg9Q>bjsS=3<8h$^bRDRs3G zcyDbUN;6kVLl!JI)^f&nvG}fuY&Bg!%CA(*@w7GSCpBeKO%$P7v&IK0t~!>DqTmXO z{*xsyvTMPlPFmla+?q+bNbd9JK`guNKVMLW&L?XwV7S>sZB>j^9h>zb@pMfvnd?rw zQG)0@9S+L7Lxoe{;AJA>sJ`ImWpe3)?GV0f9w3mp_b?ZN&8wea$R6l=4Ig`vUclER ztZ6@PHkyl!qU_dsVVH;l;!`f%$eIkf7X@-k>;CsqaALu)_wET?9~x|ZcdnL<UgWxZ@^! zOvpRk)=(cUJ7j4v8VInr&NWWo44IRwHC z4W@BYnBAEm7*ab-dGAsl!eQi%UN4_}`#);3oDwJv6g+HeOY-GHQ|8K|TI?qAm2ek? zBJXI`4u1aP>RFs>KH1L{RrZt}qV}I!dhpY@qGYz0;i=UmQ#BVZ2GwEe_brL7Z#IQX zIUm2OIF>{U?kCDJ*NQ>@zSd+Fqc%gq=0m!sc%+EX-}IN-Fjs) zqF*;L;_WP1f{By95gh&+uGdOsCWfH{MjshG`JVh7J}fVa{u22d3m-S+4p9+i=1_!f zA5*evz-FCG<0}{qaDDQDJ~)Am?z@@YreTj$G=i@z_Oo1uj!NF|qMnaWU$D)e3@YzO zVuxpyOa9Yc2=Y_Racb&5zY!>oc%}hgv8Oa!0)+(Zu6$lVdeP!2Aj$)UvEUvhtI1sw zR!Q<;c`y+(fnZIA9Iz@Amp+tsK7m8wlPzZnxvkeU8-Dz)fD{qb;*&Zt*7nZM+HoKM zU$pY<>D+U=aJ##SeRt z&ahw5S!^aOQ?{9Na#s>cDAi4WT-hl4XGA)tzs?Beg(Y!-#Ufq`3En#~=#=`pm)rAZ z8xSJuVpX^O?H>y2(f|p4Qic1U!{5uk4=VV9GK6R7J;|b|q@K=od)oqr=jlO~pF8|d zM^I%OOa1_0?+8;Vl=x6K22g~gT(QU8%36_1~$YDMCOawn~! zqDG_iRMlQ_WtDaliq1kNjeQ-sif#Ug0g&L?ssn0jg$tPEPQcCjQQ7P%jlSB0yte)f1{L9;XjZv?hgRJ zeYcNEC>Nq4QLA~RH@eEW;OIbUaW?)&2F!aUR#g2_IK5_-eDBiU+3)fIk8!pHT8r!! z1=p>@_q{(oc2-e|4%M8Uw8v5hsF4_yw=WgKn)Mp2cZ&KGiR)JFe_{c;J{7O>Rf=we zrajoqAGSn(A2W0@a6f#%qT9moZkO8Z9~#_E@iV6W#!Q!c-de(YYimlV#Ulax1ln6U z5G{M3hrh{K%g+oxq%Wk78ZP{|o~6IsXzt^= z+#L%WhV7b4?!MvkdEX*16Y4v;-FblL%AMHlws1*I%?L}^6*z4F$a*^QA?)3gQr-%! zdcfEV>^4i%5L+2`+XegD>^i=3X#|xeaW;CvYz4@$3ww0*q1k^q;DnH~_Lz&zl6`My zGxGnHu6KrRDfNnrC>QSFOrzGfxPyaP#B4|dq|>K;2b$=;qVnE|drRD=8;Z2Ai3lBo z98a2ty~&7}tVzLtVk@L}n*+ecGW94`(@WiZ&mPR}{AHNq#BmbjdQ3;JX#v8&*elLr z{rLJUv!-{z$ z1Z~N=4Jbakg0ZWrb461}ugfRNl50yWBg~&i1tr68rZ(AR$F$*|saqpvie8AnZ7VKt zW#pAK1U%E%?{oMu$M!cbLW8ISt#kF1!@VBgeCGK(kk9G)OMrR#5xz9(4HO}DG3!>u zwQhylty%=SNJvxqc>_ljBMJN2KJ&X|WTw12Wx4&W!i`LF&T?mZqcUar5~%&w%s@U7 zL4W(?T_W7eUkasUI&J_r*t6SgI2;Q!ocnA6{$A~&+#P`n(q@e0EGp6jozawTF3a@J zA*+ma%wnn9IW%dR_Wc)1IuVmWaptW8c|?g!+2(N?28xZer?OX6G}Z`X3a@GEOxKzd zby3qGo@%far9UCco#8v^y|V294#Ps#^GblRCrD=jJu9)NN{qoSpOR^#x`n?+$DCMD zeWd0)lcmBY#wN*ev%x8TWhd!r({l z-+*t1n1vbm(r!EwbKubTR`!as8AG&FB~*J0Amqu^5WLb;t>>nFx2Rh*8QBx@ zO=fX8D=$_#Y&FyQeV**cTKXjfSJ4~&npgiUX4KHGT&u&3Kk9c6zDpm?%Jesx-)DYo zi)goQ*$OM5F)mvUQzDrS7{Ltk#&7e}JDdg1dH=$aBmc14 zRLQ>i{h!s617Hb7TOSnE83^{<*8NDjZj@%@eWduig#FQpy0H_Amx*FHx0Nj#`|gQ& zqe_6Jo<8-upZfu4N`G7yS+_Q4cz?5=6b$1g9Sd3jR-ZDHW9HYuatl#&G*Y-L9`U{6 z6vtJ=#s+h#DjG+$SLc>meGY_K$6jvHV!6-M8t4&_&|taP07T|@>tesvfp0p&!^|Q8 zak4|NLW+s_CC+v44P?kJIy<{qk9NFF3#Cr$-XU%KYKWZ@A?$OqYKzCDT9KQ2%sUO) z{|Yf<7(t-!rn0w;P7LEfSz4t{UIR3C+(vzsiVh#b#AM;ft|INB7*W%y>^3&ro?Ku9 zy$V=pmjh3p;ac}?Sa)7uk#^gdP47;56Q4f-S9GMxb*(qD(c;txi_4l07n={ zOn(^iv@Jh!f%LYmvD@(p9(m5)7oi}`kB00CnC9ZMDIiGkujrI9vPqB6veQ7PTcbfq)4 z=ZAtC7lwC?9BRHCuh|#5T|A@~#ZjppG)Jr@vEqX3id5ZkXUF|xo@kLH!Me$%AcHcf zgnF#fpc0wh$NefPK{5<-A5rGRR^EzZ+fzv1?0og_hOX z8CO00!`pw;EJ9|gXxg$Bl9<10LfHiT zr?fShhBQkB&n$_|5L~#fI;{?JKK9hrLJ}A1PC5Dn zxJTFeOi6E zL`_Lu@o-tZ_bp=wabawn*e!A}XB-`h)3%#03>I{5WEr?F$qPh22ujmkV+?aeN?UoN z%Rh&ktBuibtj&g;O^J?zF9PMhMDr&cu4|C`Sw|cAdd8!~o8UG=*FXN_I!Bomw5zCm zyZpBD%$tv32UaZg^p6SlUq5)$pD1jms}esWxOR3P;9i!#u@^KIOWKl+P<)UNOdP)U z=rkYR4x5pVu+jGzn96lZDhSEOJkTcH8?rz^h;Mt_F$5=droCC!&x6!LGlC|Sr6-vi zR@F~xaA(*6SYUR&iJM#<_onJy;5X*@t&Qb4_ie^t`w8;{O#T7Qm6Q_R0pM==trnMT z%(27p@)r(E?hN8lRxFYe*VJ%2{4R;}^s=D1VC6`qZ>_GoR2z+HY!#K@`=+)?X*LbO zQF~67Mr$CJKJeR)`yWH1E>6%}hIXSxPozz^C>TQ=J|y`y3Tssm|hEP44Rjw$P9Fzc{JcJl>#}l>PS$w8uKOCNEs5WfD*%u{oG?ctNSq&l68$ zYS9T=r`yHDid|Nv(NB^zk8vxSF%@-oZjlxuCxX8Y47v4u8{&5#(ZN=(%zGSu`*BY) zCQ&o7!rK`@*<_j?sVy}R&U3$;y&5HsUfeMbR1BUPa?bw^=y`!~mdWbSE->rW#F7C* z+f{G_tXZJqBidLUP4m$e(5!C3R&9Ch;aTlrIEd27Hw%wOn8abs?!PuMUAmw!>&3E@ z?|Y`oPA#y4HA^_Eoh($&U|ca4OzZv*2Wk_c?n7#}gw{f=oQ84Qr*D6ebob{>Or}k+ zXdS$v@Cvmin!P|K&l36RJP>|PeR`|RJjs~DtUPww+j2r9&O_YJI~tJF$FuQ=1+;xb zE#k_M`pvHOAvNdD2zjv~LJTBJj%o(r-8iA+ETmsv`MupEz4Z^npU2IzRl!8U#O6X+ zri(4Is$MgCNd&q%RMl}t-7Z6idB6_t{w=&A)kd9g$A=INQX%#7sQ)=_70{fXQlJFX zG<7VZbCHa`@I~mRB~K|<>u_>e|I47jQ&_&)_G&ZSdAdf@q7Ed4DEkiLYHxZ?Kexa$ zLoI{jI*)Q6oh0dXS49b>zcd1NG|KrvulIt2r+SRAijwcFB}u|^8wkBp=MO^w^Hqsed^AVLwErF z9h>Bz6KE}Hq|gF4goZ`>=DH2bxyf|5P(v6RefxztGfmpsy!QHv{d3>WL+#h0h$*Zd z>=11qe+5W$hMMZ!^=nKq zE;VQ@H*N6ME1a#Rb1zh$%m4dGgZKi}YjI5(znoI?8{5M?EXrTLsAdxI2Z4bmNFqFD zlGyNS1-t@GV=I=7TBKY)`wPb?hq@i86;iuIKTM$Fp-IxSmzSMSbgoRXsQdyx6Zl(Y#vY52S8F?mtI0Rcaku{F2)4 ze*C%s2ghGweSk^?-6WYQT$$kG%EUkJwSbQ>D)5+kjXXjItNT_|)F?Fi?h2)22S2qm zBLOtT-g*mMlPj5^kEFa0_8q}CH(X~-Rs|C`H5kuQO?HGbML2)S6)BJUjd_=3s<Q z?v*ay_dnM8lRr;1Fh(EVjT+>dIX5FiDGu3KRJxG`K`!ezi*MTwA_zJ{%6mf6`mMLxNpV2UXm=x5Vo_cmI6|92m5R_JPgkj|xQTA|JozgjYW? zL4k(DwZdp?_M(bJOo&wAsJ4t0X+8@U?uI9qs}~NT>i?9&Pg|*=Nqv${xO{==9^_U4WsG! z6|$rsLO>OXQvZ}Fe-HgrR=#5bK}}lmV8$0{@H7;PV1eh>NMBzxMnDSX^{jiTNYX8V zLD{_xS~)zJ=FFY@l^2BrmNalN4+|rRq#u-{ZpD4XM6N(a(2Mz5hnSv`BT`B3w3dp8 zd?=B1S>~9-WpY5}(_IjxHCO=vdmB7ufD0uOQe}-~*Q8xDvl-zq$=nO6%}J%IyB)<; zY{1d`^;YzWA|9-GSI0p1ejzEf?;}ar>3NtE$F}j7@)gmdVtnh9Os%yBjGK!T{qCWm zU)q`uQ@m78b3F2w_xOi&!m}lYIX2h1aNzPU+SBWP&(j+ZKC#|uMr`o}xutkJylpG^ zm=Llr^mg9)pceU{J#0lay^xTR_JrCxyKEE0d z&@jc){9Ky4km*w;H8RT-Xe$Fb2zIy1ZjmWK17nSV+T(}NPC>G+`R}1`4aDt=j0|O! zdsZ|v3~eo3F3)o*bjFhv95O(zi}$q~EtX!M7c!Kk2^^Ah(Mu-b{NwrIBd?AZhKq za4yLAdHGm+y#i4UD_9S{c*Of(l`~O5%%c|!Y+kV|t>>h3^m=Br4BGr*ghhcs(cS>x zXo3EA5R*P$YZtw*`q%nn)u~m*#&MVC;$kk0Ehaf)Xkq|`0BQZ%+^bRfgXhoII~ZbC zkBokr)NDSHGEPGq=cMOhgSB-0Ncjku{ zD&Lo{`Vcj*xlUa*%m{qnEU%_W0;fPH$c+mA{5o;?gB>BGji5DpH;n9utkBqM9t9Iw z7L~at4m~Ov!99KId1fX09HwP^Fe@h>k=tZe@m zQeFI146WNgttRLvb}_W@a83&n1xn(*NaJ|M9qMuSDpJG`q`L=|UF4QM-X=U_e8zFY ze;sre;(I}-1d{NgSd_emB;RmvTlKkV&wdQXXlkrhvkK0kX@2`VyoWsu_y*Uzd((nY zM0ichI+L4S&P9yMV#)VB#Gw7+p!4Eo#6ik@;Hdx)iwpchLmp2;U$RCCCt@=k1b~a~ zGxNKm&R2$7rqnDT`?g`D5&Y4wC6Rx>c+KvL?<`Cv9TWCnG5Oy>fy=le!|#op($r$> zeybiz@Vt(w5eJVRRYx%ikOqYn+XweAgffEnX%YwIr`TLNCj}#G(k2hO$8>LEuEkCx zh-AHlkGL( zXv&N`=BS-69tdjSt18y_D&$oJm3$+CV6$|;IQ}D9Ni0*F9ZAyZD#O+}FPCLwkAdcB z#0j-G6N}a>5fM^HMSSX27K_@EW;K3OO)JZ6NY31|e+uKjLI@TkFSJhkyTgoC1S~NW zH3gd415NWIQ_K(m)T5?V`dd#Zc?=-j`qT5FM*J^oI8wH2?6Vo0he?B)WXzX`+??%~ z4}^a}zQ?lCsnD(_SD5&3v^Kl&xb((k7Mp(YogpCkN*3m&kQq4MCHBzb;l$)}DIsif z@yaif`isOQ=V379akXli&7&v6Yst-N3=V|mkD|z))}dBVfO7HdVwpb2^NMR`=oBG; z^N*iDHL_c%S>}~U_>(_IFKKj#nks#Ca7dv_XgYl51<~1z6bCHFBk~!hA5yoek3B8F z)yB&x#VPOitVm8**7U&EZ6l1@Lfrf=17>Y9aQE_kI?PXn3RtZe0c)h71fWZABqo>1 zew|xK!zI9_t)!*e`Kd9dCCQX~A?mg!9*ovdH;wW)J1BH_HEcdZG|RP%kP#(Zjes8| zlnct|9Ewq%kWpW?u;jK$*#&^;8#GD?&Yo@>8Z@XEcw#dN3{_ujE!-;QG#M6nNJnhY z&niQ(q8GilmD4mf8dv-&D$5=*XxD2!ZE_nbdPY6y(LQ@odl9RVE-dFvR8)!Dcb+or zO$uZpMBp8-P@4&?D1+)I1Ig?43k&-yYrZV<6r_Frz8jHCki~lr&_R zpv3K|4O;idMx1P# z8-w`sB}bBU{zq!d16agDVvNygP*ZgxeSf=&roiR}pB-L#u*^xn@G9ayhH){0$bF9}d&804R*aQ#cF`PPc!;h_Tx(_#n zR0alk$WoeJ@U5M}Fw*GfPdWJzrQ{qR)N%Og`OKDZMIDjD6J^WN8%9Tr?JN!CC{TBQ zZTO!Y5*Vu|z?;9->OAVibj5Kif?K^I9(f$oPC=mky;SuunVU4A(<2QyH9N*ks7;Q++#m9bB+lY&nYHTCH>x(b3VO=)>T90@ z%C*n9*M%T5jI~QmlMq`e8tz=@=gYs&4u6$@CAsKNuNcm>-4GjA`Bc!z%v*q3Ub<94 zU+I_z>=Yy_+3?I-!-WtWl!+lk$}qF`*r%+Kgg!rKsy`W2qfxr?(O&QZuQJ`>;8AX1 zsh1^SRjbeLaxRNgXosAqxD{;fE{QB9Nc+yi4A}J_X|&!<$Cu=~xnH`&X^lyY9L@^^ zuR6EYF=`Ct-@1eu=cmN(#*>D!v>mC(D2IhU!X`S+>lg99J?avkU@a=C-75O9ipg*( z*SS3&~Q{Y#nmCu88+zDk~A7@TFcOGyVOcPh zInB=v8n?u=?52p%tm54Tv$d6=umbq(nuxQ0_x_js9$d86Zcv!E2@g^Yqg;_d9KSFR z7R)cjzC^gwaj_H+w?!{yi<@g8UAEr={y9-Bef#c(FonD@q@QP8K$<1*5FSsKK|=OcW|t{^T;$ zAKWU78>J`$%l`B)WeM2_aJMI6R2ln0OqPGCVs$S}>V0an{JDFToaYCg3@MdL5@V)~ zqQBpqxWx)&`-unBro&MF?!P3oQhBj+)Nw(SaAIPED~@`#L+Qf#N|4K%XKe6p@u7Sv~Xu88wqnGV$nLf0sC2glRiK**MC%z0o8MK7cDcc<@($% z@lHEGEeQ_=xmxPPaT$7z)O+QV_>cC5j0UKSLB&YhVd}NzMs=e+e+PtONH0-dd1d)T z$LSi|RnBWe5_p81P20?J;3{L%%VAIm%26)Z-cs3v`~Gm3hZb>c)@pzyn1s(Qlf;p! zXAf=<5A^>qo@L2SdeI!qL>}hb0WckuVjquXpHnF!@z6YrckC<;G2r`%B~?A}o$O~d z@sh4*GfgsO6U%KUGmFs%B~`km)Y)d;zg~h>d<=iUUhU3PNh}T(DOq?12q2{y^+*S# zv`G*0WH}ur&9px5S=#uJZJG=+_Gf{3)8VA#u$!S9r)vau6g+%pI$7Wrx*;c5zsOkU zy0-oasR$IAe}EjuTtMv0(zeCPcccN!JPs`iGI(!<7i6mv-4FOTq+9`U;8rvScuA6r zbFWxelF^9~*-xr7q|}gzt&+d<-AuieauR!q#>xt0SkCgO!iD7Y~ON?0N42Rvu8+CEw?QSL8H(%9;?mn2GLspOD0 zAHjy?+~zYlL-j~Ji9g=uCfbHmedDeYHf`6-_%OrQq7E^_O55V! zEECQuz%T$Ren4Oj<0iMj$3!N_$EZ(Xlwi?!_P0GChPsjq;(TzXak*3l(RX0#8m%`p|05Dhz(?2941RGra z4(VB*!eQ|ryVj&5PF4~_Xic1{%VWNN^ib+@@bj=t@;$;z7?Pq(3^9Lud z0B?d_gKY@Hz($~y{=JJKR^V!88K5iS9QkLBR>E%pR*B8r#C$5T%A$rwA63uimh%J3 z-cVhs;^<}9z{pKpu6}`P2|GUyW>C~0%_T_un{ zbOQv@obL~W@oRIKvOqgWn?tRgU5Ci;FA=648=VN8w#*m6B#b;egh~v8Yp{Unqo2@Z|EFeZe-K$_J1dF;#=2vBU=wEpqWo-&NVwNj! zA%x&uw7ql!e5b<1wKqc=`?28EWk-06kutJCqV1sMt*M=$Q1CsW*_LC4O6&R(30~KN zcbTaw>V}?2izAp>7M@A`I7Oh_E*zqEBhzle#rKpdeRzliQ0bx6jY;PEcpzHLzlh3` z53daoM;=BIoAMU{bDsajnDAnhq_rXsg@_DrKR^vikfEp#w+iok#n z=^&dDcjuVxT}fE`K+T`l+8(RcC>#xXX;@pE67~ z@bcF%rBhB*371;hXCutdpWpEnYBuYgIob>D$O-$6dj4>Qp_rV<_d{iwVNCTjmb`$epyG~7x?q5N)temC-wsE6^ZLXK zQqigOwQ_lh=atR^IQwAe-ZM=V*3K<@^{FtX1jZ?G_K!JZBZX@3Ri8gkarb0; zFNUz?XuR8Vk_^wcOU)-zv9+^HlJ-6CZVe^K@A6;{1VN524i4;-o_9Y?BAk<@Bc@vy zh>9p6F5P}1jnI)W@eN z^+?FQMXHnyT$vm}BzIh}VD3JKU6pL=qLJx2e^~oNeZNI;uydr}5!=bW%rMb^I-#^-%>^U~nkV)Vq{00(BtucB6%%Yzf|$89LnsUh7VD|DCeu4w z;`?9wk5^67RO-aLxyze{q+4y%Jbk2>_iU1mL9U>%-qqG0epTBs^dNJRzKL!iS=aRy z#4$QGx8j{UMGw+Ra3Y+Cfq+?DvgB5@l~n&fWeda~%Tv~LxS7i=EFIJ0wHcdpTn_%v)cJrB}t5IThF`C1!qf$9c&kZ z>*&N@^Zc4;OE8kw^fY;H1rVjJdktm0!43$2YC8Mur+Eq_fyjsD@S^{98z&9#kCRN;uN)OFgnxJOq@ z+VZ^N_P9^U+Jdju!1m3Xs5_2+{SvGt0r>GUCZ1ekh}N!C!rd^Q3QmSH#Snuqq3Z{F ze@7k`UEpuTH*fVUYY};PrNjx@J3?9d0Mg|8?^K;}H^bk5wldXW)5o!T5%Fa{|B(B6 z9V&7dC5*un%WXsNE?&wv%A0yEj5p2*Or90s)mz>X*ffG)nKAM+yBYpGq{nlb=E&C7 zl>U;r|6ix(F<}rMGk}JMCLghgqA2^Oh1z^-7G`I}Yf0hO@BQl;XU}vFuIyL)M$ao7 zOY#o35x5wDhtj>5LefNNX-V~;f5W2_%<@^|;v*^jN~v{&UP{Y@!)Vo0*R67STUy3; z8=GIgu5sTYVD%~YG?c{5y~O!XMR_8A0~KXr00*?8B4!sKt8i4*RMxz0I*;LBp5(Nz z0F;^iDkp1aAfDryQ5x>>>H}tvvJR4wUWK;m3yJT(t=LGbzt#C~R6-etU7p2Q0H%lQ zeVhezBt2=^ZDt(O%i_LGuAprFQSJHq>kyXuK_Zn5%?6*raoD@;+{{vT#(|qqm=3T_ z`sFBO!r&vG*7kTyM(0mr^FAd$|0%BT>Uq~*{hZMvAB!W(#!R2HO(*b)XOs+;uAo=v=5<9>amdU}ZhY4U1G9Vwg&i*7XUVL%2tgc<-0g#pY3fw9P}VYDgj zbPPbu5iEc2HA9pheM+YMo|wHs_;;MqXZA-zWU^8Hb?-MfL?^GaOJp_gp}II1sh`O& zbbp3?RiNq(GH2`O7_B#mFrzfONF_yxA7;Iw`j6eaGhS}OYJwU+%+v(DA4-tYa0C|t zkcWdnff;s0&L_LO!_(|Gl*yRfkjC-pRD;-Q zq)j64-@fxSEG&4ceUttwB+ODCzNT8v%MjqIA*SqwcWvqgL^_a0 zs;DWk#bWr&)1iiUoMA}nME$Bb@VeNBV+557AnKDz)Bk@=orP9hOSEVkZQR`(cXxMp zf&_O7Zovue?k>S0IKkZ=0t9y_XmHQ#oO{l_Z`2R;=)J4%u)Pr=Z z3-NVjw?ylxds?KcGPNT{c}?Q-VnmfOfuemNRB`S8zA?PJ{Z$iV6Si-(FGILUvR0{& zaI=kb`*tC?Caor@*If4mj{T1%?zR7W5hDGY)1l0iDPb}&>4v8dxkV|4Y&9K1pn{%< z;Q-E!N+NFHF&!&iba;Eic88s?`eDZPn+LVk z>E3oe)15q!x3!M0LrJ-?uk#sJk0@H_MKB<>U``%}3YB2o{zRS-ITr0j6GHkaQ5Xsi zr~e7OMX%vHUz|d~?>Am=M=79~(DezKETsqp`}-G1alsphEj=}#85}alO^Cs?_r3*1 ztuludt_JE%nL#*+GEpVr3Hd}bBW|`aW;28mUg=S8;cfbyeB>=Rw}>^D|1PH@5CAV8 zjRDedGooYJRe zES6`Jwq@hX7lJ|_EzfxvUp;OCLP*F76vk?`^U(9huMr8{y#u~@n@&1x zOo~B6&aS+>&*QY=<^{*F_Rke5DnUuz@Ty>Zieq#xlkdM^VJPc zmbZP$75mIMhw>3_f&>V z+^dU;3_kwP%WdSyhqVH5svRKo@dR5wDeHmwMw`FT+^fV5j_b%Uu6d!2tw?~J(6Te! z-ip}A_nWIu+EIN@<6(E=E|JH5a)8Rgim9`4lC8MkWsd7~;$L@}&JrHoaH6SazrNqy z&uj4D>*7kPlhBuUU%uT43XHTL!EJ$}q_T-$Haew9*0${C*zsJ@49uple~=iI9mTC4 z`A#2Zg-{K7GVO#1Q5M4U5`0!bBZ<#tRriDTYc*BQWn`3__omJ!&JcI+V6~DgGDud4 z^A@agyUG=x%2_T|B|St$ZOQxy8p#{SgF`FoW5&GZDTdy`Gd?l-_j=(gN)~IAIoYeO zriM-hEr-B9h?M*jJep(%+6E7?Qr9CXb>8cL%0dLJ;-5{?kUNd)|U_8lNa-VXoff6l1G1#s?^8o`pT2de(809y)ojK#A`7NH?81a zKsuePHvaaq#donV!}Y*-Dj6$<&k;ERp@fhG{+f&5C2QS+rvp>Kn7gh9zn6P!LNNUA z;&rj5o9b^V&du%0M1}D$pnULXLX4Zsx#i}<8Wq6*dR1#A1{MyVdGaI%2_*Sv!$t*eF@1D|_ErP6$&I29y*rt4x~Wc-bOM&xByvmX&ty!v>^`dkU)-Itm4X)Y zlRqix`Zu8Ch2S!TLbDGxUenDX|%ipXTv>g(%h#HR-Xi= zi4QZQwT*)O+T_ugb?QV7eSb^+ZPB*?^W9(r6QOt1WQeKah3+%--F`^118NI@>}T25 zux*AF5ih-g_ctnBpQGI}CAhqvFye@2p1;9zc%v|!J$b*KO~iP-hWCR!wvQsX0QM?) z#9wf0kvTt5nNMOsg8J2E{rh)}%_Z}3JYvBacyUUTA>L`~QDnaA2bKPp5u##rcwosp zs2;^MA;v4mxugpJB}!NPzr#CY?w>>@^b7-ipnd~L9?cT!XN6iB%n%(ozEZSS!w+~M zy+QF#ZbU1!$i;t!VZ9j?3}zcFI3cEX;r)oYaVTx>GIGYf_8P3B%$LTt_9#&+KD{1L z*Wk^n0FNp~2c;Gv2=9!osXxiSBdP;|lcOMBKdTqk1R*tA&qF2z6Rggr!$<`YpVQVN z-8}s(aoV(1Z@-|GQKS?2Lb+cf`A8h^mTJKNiKXJh{A!x|u4b(nA^cm_-$yR$3oYAZ z*MV9~*U2q6?0ij26j`Z+$`mzbFWu|_8A4g?WpJ%IsZAsNg3gpP2A!ZGI<|# z$}|8H{Vw_a5eXH?Bs1L(S=WJ{tk);`fxb)8Z&o?SXC5h${POj~Dn9W%m1`3IgcL%l zGn4BKzq^x=F7f(h%H9D+>cMaHek&^NlA0Q2L%%ysuboibeJ}*GVoXS+q4uv`;2%;) z=8UiO{pFU(8S6lTI`9>&kPxx!@gEg}hAk9%Lv%s8_;s2t6ag#Yk`Rv*$$dztB7NMJ z&g8tBRQH~-1?kP+u#x*7@WC7ETHiKXU#LZR=j6$Mw#&G%mD?T*vAq!{Xhc&zX(=Hj z94#sELDa>d*@`(XMae<`Pa8CS8rG1 z+N1W?FmqhFrzONk>%xqm*Ib`h`Q*h}^=5F5%@fw-|yq6LLDN zN(I~P9z#Y)`Abi&93wUpM}>}S65hXRP#))UeA2eQn~(#@*N0J&VABZw6RiQzt^KjX zet5bgx$pWNbb4R)gU}_|_yBudi01<f>m5-6ti!`FuN~ z&tx|@Cv^SyCIv2b$Dotk;JKIx`=qYRY?pd8kCoOq>^buU zV4+hk$u@WqpY~Cb83Ql~h}4M;sUqi-==-0CF^WdW#~(*R(2$V?};K-R9t2|hmR9e2F)$Cw)bsQid371K*1S=iN%KeJJR@{QoPP& zIq!-#aU|)#Mdy!mGi>~j9|;G*n;r>o3vDNa5;2rW-Da_AMcEU~H1@h`be5jzMJX-p zUa?A9w@$G1tTUpJ_$NUBC5@JrQYX*9e`}m}K{??MM{6x}uI*fPRz)ErM<0ms{!QM9 z3@jw1d}41L;|=KF!s!n8Gz|Gh$nrrtU7>+^`g_i70wtqF8sgh&O4qE%Q9pwgxF@t` z#hsd{xC-?|C?GW&w)g25SGZN*r0lko&Eiv(#H$|FZ$s0cGh(!P!UW0xH=ykm6Mzxo z^?IOERs&q>Bu8TVbVrVo87~)}P+*C~cEGmWC`#+HZFT6t>otJR-8$;^F^#jEN*|j`1+TjUp#3au22Zk|d*%J`> z2pIK%z88ddK^xpg>uNmSM%f(-xr1h<)-Svf&XO$1sf!FF68FJ#ScpB|K_bqIs&k~o zSJA};2i-xR;7y52rD$fo>D82X5Unxq zNa=^mip8)+fW+}heUQ?x6z8AU{%`W#1r>q{&h=7Ys*5C02eI=LX2|5-QH`7;89sn_ z_S8BaT>g0Lqvc>XG2`St+gA3$1%{8oRk2#+ilB$46c=caF8z4^O32IR;+GDL&)tK> zZKFlSH}RUUscU5$rRlLwkvXe@lpAF&Iz8pLF!G9Fi10h)e6@{aS+HCshNi>2{i)!w zG6er3=K0!NGI_)e3O&S%Rl=hAri%K{pjbi?+-!D@ABDIFITiDOBYBi7XKnWH_2_O- zYEpm%#x5|=(9AcNov5+{2T_Pf1C3Pu513$iMETWy;yqmor;{ZVq3L)Z6mTib?>XMv zb&>!`UIKNwu*121{){p~BOAo3$+r`NxnI+95tY~MacTIm#UU47fB=ldmA+8V;h&!BJ zq`ho2J^grcO)jV6kmB}u7|r%1S)%YgwbakwX9yki0U*{NGVhL1)PcW1r|i)z4VGTx zNptFa6_x7BF^r*Pt{hC@)<$`!4L$M&7^5`+1JwZtiayyo zlXv0g$03+&J4n!G_iMjq3Z?mP)F~bsLmJ~PbVAXOpa%f_0x~4gzQZOAA?C|Dx$dhN zd|1^JXCvQeEu{xQA;^JLbSyit10T`cCd#(-DLwLMX$5T2qU{NyY1~*bblq@VP}5}f zep=0D4~oc%y_Tw~-HH9k34ZC#h6!~gkf>DB{@b2K7S-FW>A7W$Cmk<%g8_no%1p@# zzAwRi=PIT$T)TDJzfB{hG*QF27o}h*!QBz3alvt^X$3uG zqS^^kr;j~+`r)k0P9r_yGKRItt^prdaz#l%r`O`38RSGsJOAnmy#D46%8CJA>|$TN z7V;3vF@)MsO8F=!IVI;A2@O18zOT`CG^vyF~#s!_)<7=Awe{F3psDXoxzxR$E<>bbArx!J_10~=> zS{ykFNeANtzepVvLKWGCc62E6suxYEwsGv4zd8?3tcQn^w(+U&o)dN~OsHyJ9>7H+br5sXwVBDCsLG9`$j zS&tRIBg?U-5|752=!@z}4RGAd5GtILFT5T@}M{x%Q_xWB09DD-VHEiG-}{v_@s79iIMDt64! z(>I4>ybsfbNMb8qs5kdlHjV86K~E~j9H+(n<9#`wC!BI$_)z-{DE1KT;W6eBXOLDN z)fCr-%+l9En7tnxoQp@OGZ${_J^&TF#K}ke+e{zs?fd9nnu`v0;$u-dbvW8BK{1-o zS``{4`7K9Mq(2%H(jV_xQr4a$Br)AMwBj$DTYnp{jr$Y)-8S{xthMar4f79!DE<@> z=V7WOT_Miwm0Ysf$m)Nj)Q~aspA*^hK@1K_4H6HD8Q}?LtsUki*h-amfy;nXWgI7k z5p@0UUyTwKrbyrlV$B!(*=>abu_qRxN|i(95}R6=o91eu*c_5*=+*#?im9HEq|UVa zIr}a!-A1D!S4>^jzkG2sXB|x(loD$UVhp21ibRyxAa^$7<_W={ParJRw0BTMkQjZ~ zei$uT`$ZX{%6qvmCuIH%#=y|rk|1>`{HUcrVc;V~)E7)b(?!$}V+tX66NjxS+% z`6qJ)9^ssQrl!8wW*b$__WkoiAbNNIrBOtwugBNQ)FJx(U=<#lATwUEy$>crop%<5 zAuPYCR?TVY>maWq=T zlvN%?nCM8(*e3BZv?E@>4`5XtV}fpH4KzaD8&_w{oqdokSIgOovb*KRq}n zzVhi6_WFHYglp2V#lq6!0rm;dXlur5Dyfg~1mL|+T?jS6??}r1LYKh^1__48Osk*V z$ie63njU{dLC^Rw#1=}#BAFEHH@k*{gd$gED?7e@AU!ik>bM4K84$Q$eY)A7YhT%W z#=p(;FNHQTWK!3P(+`0Y08Hw8CFO6L>S#(+?RG)v!))c=y6t(52IDGBzH!$~(Q0{a zOLs;OYu4udFFRXN0(xQ4n!w-2Ysp+ES{IH^VuDu}jyefVBHASYSFI_gnaeJRh!3YC zBwWW$zaK$bYgeD+-o?^r5+cW3%vqlD^D+_7qhttSY>xav;u9RAghLw<<<9!W$)4O1 z%0oXQ1~}Z($?$NhJBB_f?_@@Y9*Db>K>xZcZ{mRXUs-+t-P*v>XN#>YpX0?+JetJN zZTuX>CTp@L=Q0<~s%i2rcF5v(jsE#u{yQv_$Pc*LHICKGeffn< z^KnZ4FGM5iU2eL(F-3lvys3OJj_oJZ9Nb5bzWW%L1QZj4FGQD}%YPlu5pU&dd_ki2 zAU83%n?1gn0m%eUOn6dcP;}v`TVN+eq=%Knd@G9z`BhJ|Lwapzm)fHHXF0^%UmK%s z(vBiwfLtKd`cMg#xbG96flC51mDtezOu*)}HA}Rr+S5TlOra#x*>$op&pvK!z^rjc6QnPmSC$g^bTb zPwwQgt@dJWWt2!7*NDXD)&E{|x8gU>Es&@G&C{i1q*jtbjJ8b>=54}1 zzs4&9FvcoEbQ1eO_M*}ddYQNUF!Ny;=A4qx-0;9t33e_=fO1C?RlM7BZBgj}#da+s z0QaV&9vXDyJ>t40Jz`wZE08Bz8v*g#E zo`h1vLSSg$x)fz}dL~YkKH_C=rAizX-)u`W=k)y?)k-O(!9NZ&M2yKi)Kt7R6a{ALt_Pj{- z=W21y<#c)jBj(p-#rHv<`!>(O$3aaL7V-T=jy(4YO}2A+Jxa|Jp$MWF$fO0KFJk+l zk(yb&$^vNYv&PX-k_eml%n8;1|KSOKRKj0g=1VT?z+{{Nvf}SKKgR?SXiuy^hBt}4 zfXz_%d6R!)+e+t=3@Jaa<^7J*Cjc^r!Qg8ddp6p!h#x~(9wOn2dd{)t=^y%$$>|91 zCnA3Si6UY{@7KS*2DZ3>k)TZ-V8mr`sLVuQ7E1wxEKX`MD>Mqt>o}V3@nqI7%9%OS z6Eaah8?>FL_J;^J2VA~ZWa+kL61$Oe+#e-#71}f4<23M$!pSN6Eho&FWiNpe<#*Cs zmDM4FvQI27Xs*AGr2+w-rd#(!YWa8E`{$CVEy;8i$rR4Rf4VF-8Zq4lxn)-fLtpvQU^VZm9bt2PT6(0C=Nk5$i)CRu-ml3c` ziN34#m#G(uZzEz!C?kARit?=E^a}-5;9bjQZc&X8(h!q$LiS8xv~BH%FF<8 zsl#538Fk#Lke=>Cz^CO`Tdn#-Guj8eWtD??Co0D*^^Op>>BW+?Rs|l3yx1UvY#|Rl zV&1>t4_L!)F&Eq!^!v@27&S!xQ$dQpKJHKFkbvF;crHe?8U1+GYxI=)`8_l2(D=2w zPz+N2oFHi?xl<@IFaxC7mY}~s*MbU5ebW%zy_nAoDOLBfGdt=T@4^doHp@VZTaGB1 zgso#{{9)Bw!~SlR!f|(FZLWjUvrX&crA*&{>MW-w?ZZ;0GgXWwa^5t*pPc_%{CeTh zGx6(=rTv)vuLC;%n<0hTfk^@%5QQiKoW8(^UQyH2V~ECKO6rG}j*I-IaG;~7m(9t| zEpKF$50)4jfh|J}hIl^@qMTk;Kw{R>jd8w;E(e0%)BI!e4Tg+bN{pf?y{4Xb?m@F= zc(Y5WpZl|CS-9j5mneSR*Jd}5UUd5>PbB0;gwAptVPj`p<$t_X3__e$EokqhIRI-` z$*)xyItems6THwIJzcwAYb_KGn*PjeW&>okKAiN^EUi|xFJAnr+02H`^21HgM1z1) z!x0;_$iXL0$NwVJx0M;#ckufbKJL%e0{YbvA8qS2>(>GDuV*hP8?(q=j+zE9X)iC` zt{e>xmKJ}PyY}aylj(Ln$@K`=z0C;Bt&dS3pzm^BvLubX)daV-zjny%M#voJYG<(1 zZM2466_sVt3jUnsPh}(fNcv8phGF$!Mp|rNM!MPop{QPYm17OEdA7{6Oh3Xnl?=6B z1j?gzA508+JfbIgUOQX$?hV2heq_WR4h-2zg$#i+v>$Wn{dXCoxElXSBsjd1$Qdg| zML`+I?Rk_sIXz7V_qLhk142HT$UyMW;aN7PFJTr@q~Ouuc)Ao%P3kS0jiceul~QOa zI^)WRpviN77MJ!v+@}i)p)cR=MMM;@@gD9{!$%%0=8kDac}M57Fsoko!qcC{g6~vP z>%d^4F$N1sNSk_x#2X(pK!Fm`yA8`EgI*Gd#lEKTOIP=Epbh z^22v&{!xeuL!N$pxGf_NW`!5W+MSL4N%wc^*Yz=&htcxJ% ziaYGCT~-<_uG7CfrMp~@(R8pJtoOWJbVS2C!@nDXfsuR@j1Mq3^qKbc2e!wsD2#`> zGxyy%de)h9jr7pjl}U@nA7YBJO>D_&zpQUike=!C9^`T(#gA%3pv-+r5Z%GsH-~hw z2UJ+8Y5erA2cx>&yUWjDRb_3(Nx-&q-KTyChJ%fpG4sA1dDw70KgI zZg7`mVqQ8c78np>kV*R!wEESS?c7RzLC55!@gb~=(=Bd3+8F#`WvhwMOB z0^J6p(dj@u>S>;Jr{JLA6^*l!#&Vz*gv(Zp|0COqHdD_6lCXjc$HWK~wJWiuoc?k} z(8SIZ`)L?_g_`}+gx5DXI!6Ai7%YWltzRtD$%U1mioW$`Zgr+;AjV@C-5Q}^-GXf| zag9VKR+Jfpm$( z3PmJK!V62>{q+S0(EO(_A+n6%zX>~V*%jHTum-}#r`bMWX@z(bLv`t*jT)J z7B?Tu_5PUi@(H1oE5*y~;rk?Krp=W5lGexq$uL}Hq zr*f|;EtMt#qgfW5sm@d*leS6wX6!f-wu5^Kg&KTc*0zTE-MnzVI(FS@wSi|GC{4xL z%-3^V*29nqu{s4#ij(&zjNTiXnwu?)DLS1U9S-|e-xf1&}A{DvWj^^as z)34tnOUqA`ykDZ}%u463*LroL!>lcM1aUN3Pay=;D**lJXjNCMONQyfI!F!@F(UFY zh_;nng28mIU@g>-;ZFcNXpR;TH^_|qouyTZShT0R*jBCY=Uuh1>gz~8*$R}|3UJ`(i;bbkd=T~P#Z8Rs<*`w6VrX^m#h?(fOgiC^n^JKVQF<}W2 z{kCUpR>o{wi-7XTLKF9rUwt0zPSZYv^A`c-&`5I7?HHVhWzCjQlMGnC@d9ROYLNIp?m)Uu8nXkeNZ?RE!ehP+;w2!b zbGt0M;nTSL=R4P=4497Zm6DaQJ`+*5o2)@-L5Zi2_N3KcrN<_`@~;tAAlFR*o3Q2m^}>s#uVfb;cXmr&U~`BfXyYk zbm6-c(6GQ~5a$lu$}xoyPtM!kJ-*1SEMaOPA|k`niQW-{Ey2|7$5<$VDWuN<9CP5D zw+)x-yQ`*`K*LW#$E?|1hP?Q(*(eoejvRKbWL-}#=J4ow_!pbxMp4CerCE{!hXK}q zeRT4H!A+}0-#5Y1LS{qS=D)3=*WiN~o(ak5%bWYtnUx3w&xTua)A#R6RcwFmjQ*rr zo@mG8nY-1tgS+j%tFJfNBnyHC;{8k~^&=$7r!^hQ?+4&N>@@ZC5Sq>x+ckelq9 z@)L$^Oot+i-D)pQzTn&G=YT9|1Oel>hoTl9Il$3YPhI0SJ#f>tX0X`~2NgTqr=4oG zQO4U?jTbBg$@4&(G1$|gR?zI;L)CPg5^kBEcf#O%v)irJNSprxC)}V&Qty~`G-Nf5 z7at3tv+3hw;wknl{cQ*xF7q*OnEH1$pX4h|=RgI~yEojcD{`P8aEsEOaS4g>;0RF7 zlzf?uTIk035k=?UHEDsOI4OF>j%&9z&nr6h<1gI&dJt2kICrZI_-UN84Hh0j6bn)x z04f`p#uBFJIt{Yrp-^)Uw>h{XL$#>IWLFyp{APh6kiGEEc?uVo9{kB(dl)>c^Ann< zC>SHgYd>HU#^q0?Fw8ICdjE}Kq3;+s3kv;u{(s_Qn2wcVB6v_@rOyO}<*0LQdkY+Gw>WJ*rVm1NmE&-E8Khb%-@J*quWXmh!QW+G3B zF;mK3$;%0>_78v_p3yrCMlZD3Qu15S#mQ`Mk5j4rSqm7dw_)G zP%UbvGqye5P#1Y19!kYz)i@d;7s;B}N??r9f!A!6U5k=b0Kz1WgD9IEfFy_Diwj>v zH+t4g?iMxvp3bv4rgP2yaFckFuei7AapasH$oZ^%D1SPg-Zpb$l4w7}Xv$6U11(&TDKs-}GY9sh+9>|B_q2STjtgU32;E(BTH_A&kz*cZIxjdzD*2@ejl9n)-U zyPEecyWj5D5N={zlyE{x9crWQljJV0YI+6hjT`$NAsbP;5+ia;+axDGy z7X}}9>l~%Fp6Pr0#B?NoxFnqGK~IQ5+NFw@P7CZ1xa0bNdwSsMWSV-U&RH}hD?qWW z+b$tZ658td820J31fm|!)?|lYRT~w5^{F$N^g}xpnJjC(U|v)XXH8Fq;&R^?$f+1N zaa+lD#)J5W2nt3xGa2?YbIjGg=ErD1YVeyY#3(V7~NVLh{z&e)d2JxTw^mb zjS#8)-q&$920>Y7kuw3*7lDj8tr(_+dK;d%s!=1apgI!Ui1oE-PFC+=ZvC9d_-3u%{f&lbtRNwWZpXD!pq^D8 zm(QFJfh`Q#t+I&0VicpVm^(_dNK}wEP%?NDQKqE!6DH>Zh0`5h3iK5j>!2Ut;?q^t zqLCc^S!*p%;4(1MIUs0n*%Ssf4s+CDQIO778Iw0zTCMZn*&(FK^&vn(B7|PPk4m*dnYSKpJXA z4;kn9s&D@EM1B*`P@$9kH@q)^Mu{;&j!e^*C(>|-fYHAO;x%NreRi#}@jd8<6k~>r^1tc2v06BWTdR#yS2- zsa@YjC#+C>E~9BVP5sLva9$r|bkD;N79fZA$QKtDg8sSTefU}1{rrp5X;z;Xe1IN+ zMbRl>E!e#GufJp1GkzDYbLw9eI*eX-aWR5A#4wo9;pHu(?MLxqzx>Ai0s@y>l-fR1 z8GC}mgFU~jb!T{#IZg7&8pD$`PCb65y7)h{yNu$o5Z#22+IW*3YBtTA0N%;`>X_kW z>5o|cijeG#P@4x0T%Pn;%qG9|EwdiiXIGI#rG^_pqP$26v^b#g{8E4EYx1f zPxMLR5w)sP$PxfIZxbAh_3c5ubh=9x5?>M*kE$(mb_ z9eygAD8hvQFI1MTdYJMBQ6nvtr5f0nAwh}gNgVi(B;8M(h zP4>ZQ^y3ZA^~l`Wf#`tx?Z+6<2f;|Qb7ct*D6BmWMddF}4I$4r1_gtAB$qiS8u$Gf z({B@ssh3#-)h{HYMK}SIdX$+Jh2Q;|lAJkma-3mouw`{)U=ACn`5BIgQH5?*`QC2l z@4T^Y-098JZ-`hT6MTGZurtEz)PUS;SB!m>8l*_AT(t80AxZvq>wmnp{PqMLVENl$MFoc zpxAd5MNuEEFQZegWKvOT8XZ3xRO_2p1EUW?95H7B zTw5%&+I3;rK?h_^Xq9@i!Q&6*>UX>34qO2;n>5hrMQ6p1Z#0b9CTh#AoT-x+f1|8P zG$33hZALG|SM>-eQh$DZ*Zh4XS4;`eOnQ6GNJG-W@OVe_M3yc+1@KtC>4^+ow{xC6 z_cvTuM680s1KN^0o2JPhW{X$#388zAMV=K>H@(pgby)%)QpKl3qU+N)1$>W>N9NfI zHZ2w6RE{I)%G=sKicUT+9a9i5z1(^!m{q3e(PU3dCJUy8kEgkS7_b;k&dW&}SS zH_a<2hm&~ACZp-Uj>-tLTjWh%dwYAU|3>k$zx(wwQ;wS0!`)qui!p9g24fEiV|KFm z?sTb4IkBZNv(g0qu+T^JL(+Is(>i@xMzCm{h%njRk12J`%e3b~hmFtDc^D$*RQbGV zS&<>yzxLJ+ZVOq)3LNWWyw)rR1&p5k7%X~w#BEj2-st##wT{G;BbmWy^~IV~qg#J{ zl}C%Ihp~~fUjOiJddlrpS*y|x0T-&KgRAe&>Id2n6vT_M3xPaVPQ|6;U>6Lwxi5pBbW-X_YZ%t!H7Uv|7qFOVcFsh zX|Uw)f@#SD-y4t%vo&>(@5ne|$`AXN@ZO&s+J{1{T^q(gcJaW<>d%BnB)02X~O zmy7^f!9NSXs}C7@cIhH!xqWNYAdsR@tMuqytkPCLsq4o^VNCqJEmo&G$kM9b*S~Pb zem;wgxN$NWo{i58`FdW7O+T1k@yMrvWYE;*jJx=uzC=$=mvj<~*E(aoMh^zS4lS5P z24bRK{G+~Kr$WVqqa@z(9UQ{ZG61dl$|WpZ;O6?D=<=&WcEawIm=fAgr}&F5yraHc z%_G0>QEU@|pde4<&V6 zS53p-w08h&b0e4c*5(6m?Ix#9GCA6Gzq$`jGq(nZTcnI|d?GZnBfLlPBJZuN{u`+N zS5O1hO-%FbD4QPLH^eIgc={iY|K>FGy$({Zzt{TN*FuJVTRW{C5RyoW6MnXC%yw1K zE(!zF)vD8c719{l$`Dr7xnG8Px9CmCZlTxE|n_c&gK13I%mbNAn*{$n)x55!uz99!+~PW*`|agpl+Cx zDP$qQ3?u^1#cxtZ!eA>XQGJu;4A*Q(;76oiDg_NBiw-Lha&QS!WP9lPt0*wzRNuL- zxdZCgxE*lX@rVIBt6JD81fz;iv;Y-Wu00lc_lyQGfhju+*PPVcX2VM0DUeE|?O+3h zxcgpC)vSs)w5ZBihsM4WsEQ#3jZhT6?RL+daXVx;mJE{s)zZ)J!qW>z8{vCC#O1m` z?EWBZ2aargu`SZwWBUvmP@la)661j^vBmv7)|0Exl<)a!;%8Z1G%&|4$S47r1XdbX z)||7KOs%JV>hcY9h745&*M&iABS+jQ6SFV?33xPD@s#7s^g%pWk%gJHb)==QOzQ4G zM~0vZSV@1Jm$%rmnGQ&x1B_`0>O4Q;%kpr}IsHidGPo()zv*8ug4*P`uptLVZ!Peiq)wPEO4|1s0~!|uF%n>vhgSL928iGeli%I zY0o#XBT8+5O6e(VZ_H_OB9*WH5zvlw9xi%3h-Gdkh7jPai$LCNysn3cTXM4_jYUu- z3`bK5n|}an!7sH_19Z>?2SN}VwfYS@C^k9#7m}F{Jx17#2dF5lvITLqql&@7VP2iM zV*T|F>-i7EvW-u|iK)1mSf6ddhlr{JO7XWn);K3gRtnX&OO3eeR+I_}gKqiuniFrT z8#E&N&xgNE!-l^z$UxcQa|{Q10eJ(A0jEWKPVf^}(sc}?iMsQ%1YPEPE|4W5+YIg;Vj$nC3`utVL;U=Joc-Uc8(mqQBWwnqFGs4>@JsY z1AtyENKxm}a3ncV260{6gQDSO*b_JrDtjk<`BPD7c~#bg0J7=>Ea*W#$Uqd{48yD< z*)c)tUZ~muaijnY;#QlqWV-%)%C;WEjM(ITax;G&V|<>ivq9X*HhY=(vU zgspQKKW^{nn4|$nQImc(icoqq_K2rXnL9-y6){`9$;#ezuuslb;gb-)-#5dM$hU!f zTnz9xKu##HEyXePoSW~sN%P6~OUe5}+tIjn-L*Gc53|*weDxh?D+M~QqO4xdAPVCO z(f=4h2aOx+1NPRAjI8eswOpMNG(MAPMyex1Z>6z5MYjaX5U&t~x7C!fithgaZ3j@|>;)!QWD)o(P( zyNES?BEj)2yd~}X>cAs@=tdMhR6S%fb`}VZQbjX)69`OsiL%(+G`45W8YYj^%s^q~ z3r+^3Q%Uw@s_ctUQo!SiNBLV6Ep}B6St0wZ2B(0Ta;RaQHIlFmgyA?iRy-&)Y1TY& zh7&ThB+e!){t~`Sp(35?qo1q(sE^s4WwT℞xCADtjiE&tm$8_Q`OEdL&M8y20m6 zNTmzzm|g^WLcjN${Co@|x1+TNi|9_UPBVoj-&frrzP)y8@V&+$!<;J8W#Lt@=8q!3 zLuOn6VPwJDX2IXlN%!pg`_DF0rjbo%BPeV$UvUZ`v1NLmrX0t+9yY<%Er?P@5HT?^ z!log34CmL>V9wT>9;Da~8spX#1{6(5_V5{(b!;bPw8Vp)5I|6O2nO)!36lcwOqA>* z9^C|4+(#tAQrD@!ufJpD%5iweCMwZ&oY=ms%;))9<|2A5VyxzwW>?-WDsK3=3RJT+ z<3H3=VdW)T9&0~pATt*pRv=RHM|%cDZME383{#v93s0N{Os2@aA3N9(y*t9d+R(|e zs+vu4G=+R3F^003#oJw?;hbfthT2j80F+-$AZ01DSG?50SEs@jX=QZUUDU9JsyGhg zGz2ExiUowCLXhcGLERmVdES|L`|*Ftg7BTILfR;wbGbc4b{s>C%ReOrIN@P<=bGdU zE9*`a=e;hCr&kve#*y&VH}^jo{?6Nq~{hL4ytq9yN$VjI?XOae$V2`CgBCX~#6qse7_Z`?G%@;nf@WsQ7& zC(#+&$?VUq1R7Hq9?mheiyRILqz9bpTHA_xjWBdm#IKU-*{qrWZ-l4H38dFqU~I4E zmLNgFf<#fDu;;%8n`>=C_LZLMUy0POwC^( zg_qj#;_EOX#pk%KhpzdU`-}ZR`u@HL1wWHXsF>!C{q3xiM`;-sOs|UjhZ@OJ7;FQb z=bsDkGmhT3qip$SoY(T}^aE?eq7ik8AGhUXjBs-}Kr}1Z?n=gC?MS%pCj@bbo&Gvs z?B0q-`?QtHG`Va4?lxwWD?g2XA0Y<#foy-DxuvY!%EKy-@S*+L(K|JI;)N!@ts3#w zF?UsiqkUMi=#rJ0Kp2{+Ghaw8F4k^%5E5p!8GM3s&JmkI%&%werP`ajTtTG+0^SkP zd%9fR`uH}wn`J+yE#dKnhB7rCraXH|Vnw0gmrZL1qpBN23bfB)r+C>AKM(%8mgnKR zB!=VVPxMy$u^Qde{8G_SsvlB}+qxu{MOYK7v zcxq6W1neC9K;j)eChhR>Rc#czY12)Qxcx>|xZ^Jl?yuR(7YrVt!z1FdP*fn{3^iVZ z%exG`BTA*ViIpmmdpIhfdah(7?9ltPCjb#A1wcZ9#3TC2$u_8k>Xl8#)5la4Qo`R2 z)Z2@vdYG8GrU@X2jP|{djYox#bK8>nu9S1VOYxol)@TmfUx!;Wmx(awNDdDt^!0+5 zOG=K{xa)Kl$H5idg2JqY7g}oe&vLh>G{id+l|eLyIp==#!$fD_mMoL$Y!#QeudMH5 zg@Br`s%aj-+~YP#n$>0-NX=5OjD|sGoyY)`gk$cqtE@SaeP$v8nbGluX) zN@hYNYTds#XwGSo)?OVXWvyqe{|RtC>|7;0+EoPLv)%dZ^;ANNvGofonmOx&J(J~m zd;%?H#}W$xkK{CzCO6)#FKUcd?1PGHv?nf$T#rNif8}IG;2|v#A=&bf*43_YVgjPQ z<}VMO&!W)HAQ=`-{e~%9lc>11wdPgL7W0L6r8RvgML65@DDRg5wzGO>(}nMaUl}J9 z3O{-97>7l$KD;^^C^T*?^+yU8y{o=BSCU5w8nj7LJ$`d6-)i`zqQNpq^W)N2`a@JE zAUw)-Ayd#=4mVs74^gx9Vc$?Wh#A4LKTBmx_Xw$aS8&dP^ zWt^zS1fvLYHCI4$pRq+@mC18a%X!@+uR0NT(5jn2lcbE$zPP~b4RXMWPb1sug$-y| zZLiI}?C#k3n-Hf30w1gANpUZDKWq);49Ogr~E&3xQ3o4KfI#Hwrf0UGW=J@5g{j8B_DD*c){ zAoQ^}Kk1+^rU5<*UrG)#-+f2I5|riMTA?l>uOQSbBK35#mno`-FVo^iZyLIP`87~@ zCecd_Lx|(6&N5w^b84Wv>&V>EUJ4^?|39MMDk`q73)b$&8h5ABpuyeU-5r7l4emi2 zcS3N2dvFi#E&+lEcM0wg>~!Aqf9D_jf(xz~gSGdXv!1Hz?DUpt%qcwnwVzxGSJCoS zRBm>94KSMLjFdMKLEgl$jY_m-FVoKcTlREJ67Hu>P$YSe4m=80`!CS35-aVC3u{nc zr29#$x{Q5%TGx=G8mI-IA&Brx7g@JsXkH%o-bXzM7ME3}Z+PKmr~S|eHT%&&m~a%0 z`ne&&X{hSYL#v^RhaQ|f2j8A03yP$gW z?B)<{=VomDHp?5CDjQI&f#2yB-tAOVVBSabXReLM|@~lB6%hY1=|0 zh!p6hC3fw8nR1r z-N02`22h_8j9lxVQ-tO8{V;+LYP|WsXJ%JM@pO$S|0N3vK?kj?m-9dq!V0#eGl=5P z3CG>`((IH5g-E1Do_|xkiAzJJfB(8Ofg|9F@uV3D{$i)!|#j?`>Ay>!wih+e(_uM{*qn;@8JOBL|P&3WQm(+3JYnc zE2h0kyx}nh)?zMaN^5{m(RXBZ>&>!z#PV?gdNE#l#Gvz(wqLUOhvNE6Eh1sX^ba*s zY#1If{RUjXdk*(P0kz|#b`0Xw>fV;Dj$&i{`$BT~ehm~z?YC|lfDbkR#RB_IhUNs8 zRTwTnT!07&0Fy{f5o@gv`Ng&5ysTYWgyJ zmKs9VqH#z5`T2ETWQBMf`2RgYw$42;p|hqrKij#S=w$sO(~gGcznW3_}o98KLpXvSMRN8+L}dkbt2J-RZvLo z2glK5q=XAeXpD;u$d}UeOx)BBp%Ozf+O7uqeWcA;&Zm_Cr5Sx)1cy??UpjMXo14H} z9EpWg5LV2gDgd6n6yvrK-h0|;mu5+dx1fza0@NSY$CsQ#8B^|oL@>r6*>&aQZ2yQg z{Br1E|E4q_(PKlX(BDYN^}KZ~In%ZG$8-1V2L+b;@VdiEzxkhXnSq^s47HH%#=o0x z`GQNr&KUNB8V6u?LUB*OxBu5e3qB1V5ZdMM_E-py2Q11y$2VW?MMt%vOrqFEXN z#WbYDZ783FN3pGXi_<=oFE}6Me6DWU0YbCP zFog2%sp)w%rSu2X6kMjVMjAXyJfuW`NaQ9e#fDBOin{33jjF+>>A02 zzjaw#-n#$I9#?B(qK7b=cip?N&D9@T0DgP*uXfSrzI}taLbqm8Nn~f(PCtAa*@6&L zC-y~2pkPW6VA_FEV-02zCIMV*h5(U%flO=PFMJV($Z?66fOXm|)9f-CLWKLGW@WAO zVwL1rp{+va@OsD#4rrHE+i|qJ>03^tB;09=fftA={u*I>OYEJW;1p7@ZaQ5YY{h>A z^lR}q4aa*_P1)s4oiT=F^%Q+801{2-c&5%8DVLYgz~|VYbCHV`Sqe0d7#Jak({{9K z(M5Ta*}d;1a7{3g=ga5-K}tXYb#R#S4C6J3JQ@D0H5)pinls^(8ri-kgk(CshU`91 zae5WG!7x+8Rd-fLpG%MVd};ap_~&Cw#L)`#4-g*_BpDz+E!c_2MMybkyt0|5m{|kP=iV6h4q$!19eJqi?c(53)R+1ds$f^tFe)%o z*U(N1oihc=G+NW^UobY7zmIiU|7bpHGJkzg3&p_!hn z5~p#L!2~L91#{cF7SmxQ48gL+i8l!|q;c@c>e5V0RfZ(2cIV-+2!zywo{1w&XQJet zol}wE=OAlni+r)!;#)spiEA4}pUDBB_CstM`Sx759&r{p&NEB`kS$s|a~H*8kasq| zvyv(#)={>Vt@EsuD&jT8?Pqdlw-3tf$MNf5IEQv7&>bo0&~vu?S8Mm5sZC=ZiZSYhNn>Sn z7I_Uo{Nu%BYM2_n$m8rgzwfxoTV70$odxxXo&LXsT}8IN(9A+^o@4>@8hg%p$6Q}? z(k`;h5c}BWt7Pip$6RuvnUK@-o$98{?Ls4rhJMhD&jjcWnP20loUDB8K+mfhVrIcB zy0bIB(rLViahJ@HhnkWwhlqq8HbXdBN6!P_p5za_x6fbC&IceNw7vggQQS@bmZ|!W zWzBpdXR6Hke8$gz*0M7*nRcDGythXc`sk2vx$4E?&tl&tF+P@h1`X~^s;KEQ`1@3* zet_BA1!a7uz#rE*JT3C2Op^e+!=kS)@a9OH(*+G`kXlP0Hd%PVmynq`ufjGIG^$s! zs@uamj$K=zn$&$#?WV#Fy|Y|T{AM2PA7w97g_?xxQMoZYWK?YWqFZ92u0uGI4TjZr zkso+F$1wcvCp<@Y9VC-ZEQ+l3<5+vNU2n0ivKfxJ`Md(bmPNdwXPGd^ozI+y>WBwH<{Zrh|RR#A-5#?^0q$lqf@w34YMF*h& zrr$~&6Jkbzo-C`_4NqOPIp_`~YjA_~Kn5=-8}G)i{T&NP0MQ2%y0bkMvfh z*x~fZo_VGRjNB1yZxBF2@qY*J-%kc~JqX(%ay#cNxCJW6g?9VhT=Zj%L;I`0P;+8dNhU&MH6dqxWh#cR+qUe$OMDv&yil%QiLj z*$o~^(`)3DaQckS$M!WCc;m=vE2Pi}>GT`22>7&5f}Z8=#CArGFo$D+vsiUAqq!o- zW(-dRbra;z?3Fs4htEQQo(OL4Fb(KQP z_aQ#*=eo>}N5!w)( zihg89(==$G>HzuuNKcEdc^%;Cdpu4-f9uP2*XOOaqIk)(Acl=k8K4cA_^R3H^VE)r z^%ehajcz(x@|Cc^E`D@k$ruzx^LXb|p3_uSBixc+Rj02an}C#{)LayrTtQNMb(l~s zzWfSxktuJCfRh^UNd`srS=Bpn|5A_f-G>TIL&)_X74BBr3Bp*gC{ax9j7{PUIq^mI zxgQ-PUyE5k!WJtDR_vIJ(3|SpjjHW}t5P$xw3P@R(S9puGJ)iV^T74fn(a6mrU(>K za$WOSEZ!EL2~KpBnBqUkGMZ<2e7@Qn=N8#oZnAHRHJV~xK~qQtHQ?gMIwan$pKraJ zMu9l+0t(q6y)qC^u|-O>zkn?5VKeRF76>7#M-1bG11^<{Wvj&x&7tt=)_uQVRJ9Qx z;X){(pLgJ}qLR{|ZNaU_V(qpe@`SIiSS{<%HtWE#*g^}y7@=}M3d#>W$!3MM2RA?! z!koqwaAet;b$FZEQ2Bn4e}Qq^1R`*^#S4fLXoHCxe-`EiP(Q;|d+b*(AnvXNKm_1^ zetX9{8kBF+-&Uh)Jgh_cqljRSt=fD-mACxJ)NoSb+K8|`dJHG#^X;MlaWc(IQ@wkh zP8)(9E+LoxV{GSi-?osH1x^7O64?0q&^BTb!i84S z1L904u=-cUD5?J8E7|cV#<(7_WCCqDEwJe2891BB# zyp!C|%90umex@~iTPa4?vD!|=;(g%_Wzs`avtL)GnS|*T*ED8fn&Bp>nzw1M zo0T5P6dQL;R)!%68QG)ylE#GW^CwT2JR%FvW6D};KX`v)3-AHlMONucBILo_RmjZb zyH-L1gg40V&Mp4;NljLFf(?!06u^D{=XHvdu&^*Sp452KWu3yjR^UlQ-SM#)L z_9GZh5_n4TY3yI8DoID)=NZ&(a@+%afi6s9pHVIr*x3MR)zm3C6wkLcfy^5(XI__` zULsj=Y~7b}P9soa+TKz3?sTSDaS#yd)cxZ5dpx(ir+nJL_Pm`4GRxM}Yb-~W#O?$- z8KZa?geDG<(?+^lsUzmv`zkr<+}DlXJ<&At1N~&Uo4WAfD7jh8{m?Y`lZ~(Q(uiHNw$)}}*6wDyy@p|04 zFRH+A(l3WsNvZL#hbnWR=z`C$bjvS3NFZIMauZzFa}|RF7&RkdUxL*r5flJl@KU1l z0TKltf+^dsbcbXcVmfeH6XlVp`+&fF8aN;EVyC^tL7Xt8CRT-Pt3N`X>oXu2-xQ^; zhbmLlJ@ii41Ni)0-}LgHs6wQClUO688Am51Q$}XKshoV6SG?pcA_Rk}1(o)O#hAA1 zU3~H(%2YobxuZ4c@8IlE@9a^jG@i~@)NjwOjGPkMOHUTuHy55e(=bsDL;wE`XhfS3 zctmSR*^iMc*B)4u1{=)ac|EypMEo2zXerji+kw^;<-JxKABhK7T!lJ323=9_m5xf7 zxF(7$QzoB=Pi@PSt>kKz{Krx)#I1yC>6Ao(8H}l+Id1Q;eI8yUG_yH=Vf@^|UfYX$ z!?;^K=kz#j2tv+|CQ)zUU?kp;f00}*Z2kUKzJ8&NNRssP)>-nI84PCp)M}Gl{F0E# zKE`~x{VxMZ*l`k3u%45xuu_pv(@2luWC0<$E9Ryt!xbvQtc|i<1#Ga<3iC`QnlmR2okaW%yzVoiuR0X4fc!rutCR=%*bEXY)Qv9Tiw#J)kSQrI&r-^gb z9oI$pc0+Zro=g77g{QSq!SThVNJ|d_--xwhLV^O_2^B*E=0U@4#_uJY_$D|+{$X`z z%uNvstE=?IC7m1$9w0^5G+HLKaY(DwVIc(SW}f1|?|`bdHPh#i3WIq9&VzVqB)oPZR^o^|{B@e=r*EKq;>uhZ9@{caf# z+Qn#>y<7BjDRMs77_PyM(BpBkxKn~__H}X*Ogyp1@)+-ZMZlR1EHXCj1-P5;CC(&_ zAW0g4wF8)?poe&d4HdtyS4IcF)Xl*FXqU#Vi9t$y`?ivq_B{+3@ptHGpu)b5eZR_~ zhMWGMRRp)8H*h_*%FDiQ&8YL8ihna%7Tm(-Qu8)pAfYRlA3P+(U)`q2e4M?Svwo|u z^1gGPY{fPNF`BdxD4!e!;jID0I1uOEqH0wV0p!AQ%7lt9*xu()Y@#C^Wm$?sb)WuW zLjU&}=?mIT{FKUgm%P`*v?b=?Qi^)wYfMZ5rzIpzqb(6f_DhOqNq1Sr8sA`_Kb0VxZKwLNtT}dQ!(i4YD!Skq_x-#Zj zh;7(bm8b|Q7s zC7OY03S|XR@*^#w{f6oy_$#p=0~q#x?h6U#N_2x_q9nZ25f@W3I7mMHGFQ~SL`sd_if^P>r19J|=z%>`_ zp$UN>p$EjW2QO(Q%fg3K9%}x@Ugr&NWwBlP@ktXVG&XKT?>Ky+Qs2T;aTzcQcX#7vL22nEgSzWwmdh;an6=Xx)wd-$^zJo zocS=vOP)u9|3<0kQ_%S*c*f;LE=3*2GuBXbbCk$vqE>Ic+$weK>FNv|@H59PuuVW& z%(Hke*FcO)`R7u@%*jjH4Y$9yMpNIz_rc3LKARhK+o&p7H3Y`C2m0l;ax0}VwiwlE zJo?_%{e0h})!PrYN1~eL{U|p^!FdK0EF>!kmY=Tsw=16F+oGz1GWFWN#Ca3Xg;lz8 zk2((1HcTT;qH-d@;4+)y!rtZoB8 ze@@Dpp3z9IP**k1hMNq`l?u2;sl?-oY$KLV$5vJTiOOm2iJQB5pP{o7$v>jT^qRDh z@k570(9YK0?EmS@Y=V3MthvO!o|F9^x1a;+tVp>Lf|PGIV%(rIcEX@kN^$PL&t9Q5 zH=aE^plTXvaR+M+cT@k>0r*^v$nAFp3`&#HVdzbF{qM^b2ZVvsX^xA&DuPQrIKkK=oaRxY37n8aUM5D^+zNqPo+t`E~Y;^1S90cc2vSgVYwge2y0 zD0uFa<$JxwxNG02w!@hKYCfyp?MAN;#QFlu6ez>T)O>^qON1>$@a*2FvUgZb7wlvrjJf<@H?16JPR7dw6=M+ z_3hLJPp}hWEf!>D@r9RBmk(Vd17x_6;zs#H(IS%eSfwY)l&)8NGDIg3k!J7cT>re` ziz*M7(g(z;y}#E-rMdVpHW|CaeGgD#D$z&a)cfV{t?jUo9uyTUa@!N?eF$(w=_D}m za~az<@jWWm`nJFSF~5CYBMLxo9NE^}i=!%}UWF6`4tOjw+p285&{eg_;y#Y-`j)@rBNlqfqYB?{V+FwvkgentyA>&^NAogF2B3P z`$jlJdv~+V^+wptqBh~u$9fo}WMW?N_)I}vjCNs*~ zJJMg)TjmWIN3yt)R6TmOyD{41-)?i$EIxD@w|V-h5l0Xxdf1TtaBddBPx!l)2d?F( zAn5cC&AOWrRRrNGBAvze60`1xm4pUx(dE30Wwa)>U6m$hGPv}ETEv=MtB{=%9))=~ z32D#aH5i2u*wMEfy@AUi8>g8(1nF*68E+Tw2E1p@#<>~{^)a8q6 z2q?w!Sww2|J8J);XWgE?G*tc2{{KgLt4+Xw4Ro|`$b_};bQ&8C8l1+iN%i?70k)O%y{n-Hc1Fi}_WC06PQy(RCdAv1Wf8H%K^9u=%s7uE@Pl zY954k8iy61Oam@IfhAN(2s%w++E0hbJAsovT*3z1+u&}PMZ`EgUTLLHWZNmlvmO~x z6R?~lZ=A2vc%3gX7y?i=NK$md+}}o-fs%liVFPE6LAH!B82V}^QEmmbH zHfK(ilarh=Jl0Ob)N1`S&PHyM4Rk@?zg5TIaXc0yS zG=c}J+%IEMEN5x#_GE#sWileGNvB_=j^(f)t-MRuI6{V1%FEvDh?p>@1oquy$~gDr zdtK#{kK?4jxDCDj$K}$23^4G1|1I71g1|#H-}{<$r=ZdP$`L~)9ZPw-kDe)M0qo=I zSBCkz2~LT(1&^tl1|r9BaL8dd90(~v zhu8|X9C}a^n}}lb)8bSFPq{`BxV|+u7I3;;Oz=CVv6`HTWPSBtIEBhpi}mC_yI8GI zBf{1C0dxX1!z7MpRD>GS8aQa`cCp6jOcb<;ZZv4Gm!>A>`@N+D$XRSiZDQ{ ze!BQ4+KizZTFVYPneXBH|79}w$BN~O;CeJliNBPEngOESZe2{=V||*bo79N^rh2Ef@?%g` zj-&j|naeg->P090Md}j|kpTP(^t+R@z;oG`$l;BIpi!x)_b-CMnXjky?EE_$IE2ZctRtCMWnpp&7Yi2giRYv~=^f-xjqfelZc=Kc zjH3P9Xg|TV9LR;P(o+h#2{> zsq}f+qbJs!iC`1gaATjki5b{E&Kg_s=*Rb98HZ&^b6jz8MXsn-=OSdle@vD1%6NMB zD>3-g4bG}Gth!p;FG(3BOKEV%l^f&}Zd7#JS1_9h#iM#AobxJS92 z`KvtmDGy_H))KJ)9F4~~aTfb&if<=Y>o*)SITVwcbJ<58=GggaQzfc z&5BWC20LRmP5YXI3oF!|I043 zTU5bzH5B5yYp>fc;mXehF9^isQJfQf|E|f<>ieCt1Ml{I3F=~X+NCLmw|a>CI5p;3 zLgAt@bKE;cO=j8w1u9iEliLBNXGzAs$nO55!pQc+e$KPQPArQ1_+UFjP(}ykrmk*b zBkjvk>L>U;H@d4HZQJ=ha-Cvxn2%sKoXA-Pz^A}>0cqHgNSP3Oo$93NY`cpY49Yty zuBiV^+9T8WUv-`Ee6~!acwU=F&Pt`*a%ER_9e8^oFJb4s#cyAv5P0=J{+pR6xY5%y zu8r)QKRLm>P>`LbrM1cIrGIj1(T*DHsG~5)^0fl9BiqO?0eTXaD1d!N+Y(@UuqiL1 zE^$gNYL%C}n6h}sxjP(g$fp_O_b9=fM2(<@psd|(>q<~@i4OO6XwruP%8TjSk-@b0 z&NhEE4(})cG0*;<^T<9ZEaJK6j)h-W2Ym!hPuKc>wR~5>9KyS%#upYMEC3b8yZGa+7EewC_1_VV zU2`gj9dIfZW51Rxi4Ma@?<=@OXcomaPzs7u%-#O|*|>c`11!&OJ-M;YgmAIq&uGyb zxc6RT#$mBesp@BPG`$`#_;pH{z+?xhV{zgix=?GZsX;S^;rq|k8vL~v4cYv)|>$5;OX zB;rM19~!~X;EhzjEff<>1HnWa;q>wCvwuYlx+ebIDR0m~VgtL46U;15tFOa>FN=Z9 zoqCw8$#!P`Qe>@1{p7E;Py;r5$8{Imb~P6u7ky?qK_c0AnA|L&6QDD5U8XFV*obyJ1Q^%yFx1w|cWcsB?IB zwv@fcGvL9-4E<4RkO>bYek@$$yHmXGnX**9rYm+kL~l_hP5k4H@#oyld^M$WozrBq zTsf^T?hv_*DEEuC9!=rAARfhT_PlBw7A^&>EDU9%o1C3wOp&7>FvnUc-ggJ(>fqfQ z`AMm$X#Zt~llYOB+;j}O(H4SvI}PSqF}%mgWA%w$JHkR9VM|FKl=mbG|4eFt^;*_0 zE7Im(#}vxp$Ufi^@~1-N{Z8{5)yxbs1QQ~F7hi{Q8f+f@t;rTA{ekANT!5?EQCfIY z{h|OP+G}u3-_Y8SeLM)7x>6MwN)R8B#qVN?=w^v3nw*B}5-{<|a8OjUMq7W8O{F;5 zr+wdJg}qYs@6{eK3`D^^^ZMfcW{^>^7H^*--@nYM#A+698sB%h$*cusXl2=$ZKm$!*@xz;h|7@QH6p5D}!> z-tv+{p}QeDqx8bT-dDLX!`b{EH{*(o!;)fNe*Jy-#Q;Q8VtaHFl**f7GdF|(j-g)X zC8wX{BkA7#lpjfY#s>U7`;?W&ezQgSO~xZ0g9garHx-?olGIv-c9MaRR=`*Mh`79LZ%M>Zm z8(A&K9_M-i+kvtCrPiu@*JyL3dObjeTm`bgXP3BKIo@oz`AMjelK*bWq8Qn2_aBC69E6URj}v^z za(n*vdhVtZxw$EcA)I{um;ChtWbQ-`LXhT*pfD`7vu))6sXb?AS;MknZXrnJ`y+_{LU*QruE`epF zpEYDUPG<;x@Q~|a>6yd%`~Vs5&Z{J!=r@GRC7A2Ihg+Q)mcOS470$P7Z05NUyuY9g zZ zCf@s7yJ3yYiruwNIvIqpt&kkK?`J~mc`)7<0lHoWuj-GOoXIdddBVTulJaF01O!@ir!XA8jziY|*Bcsklvx&fS^bvxP^qL<%_8QX_R1n=| zIy9XzrJXb56$KcS+OoV{M!&?T6k^f20Ke-5>x5?2O18woR$gP$4}^Z`?Y;j%@md%^ zsej|nq6Pb0IIjL$A_+?}jXKhq{FBJ7R_&^8)M%hzD(n)S;rhBoD z4QkFl|GqvbOmX?L?*im9-UF-$Z#crH7C9bO!``D^W+pwKrE9Lvv_LG7fcODl4pZ4l z*w>j-B+BaoCb&pttrV@MPBFlT0yu6cN}4>cWG^rlIF_k2^?I-w`BtFEtDM4tH4 ze78GGBd<0Af8RT2?ZiLg^;6s^4pQiqRIru~sU(jE*#9wKXDHdDLL)Fi{HWV+PjT!^ zQJXnrHK=8JSJHV>KOTx7oN)u~yOntumxX?~JeK!PSDGsZH`ly2n4vk0D(xT9ZAR~) zqSG39^5F*&@@LV%zrO5}ziyFp;Zv;@&lF7S;k7YhhT>r|U#GGd{}C~sd$sr?tfTeU z9D8=m#ob-&^<@LThw+S&gH`b?xw^z>zm4flZx9{C}9y87OD{uh17BEfG z0D%EKyxUK$HApaml*BR-bydtlg87i2D35N{sNC=uyO5-fV^QQ3OF5XmRjqxDobVP53C%$`*75K8&#CTL}Nj`c+@wt)bCO+Ic|f2 zeNlM7!G^ZuL9T9jPw*gcQ6D%k8HcD_(9J)>O>ImiD>J+-FwCs!iQn7&DD?B&&bTq7 zVa~sAmctHU(DL7AO}AVZFwWTzTsm4z$1T&!ySa&V!h% zh$;Zj^X>o&xO7`+q=(HH;7&m*&+)*+_-%|d`qSJiEPCQSl+f*?w&%{tjb>@tgvr0n z&qPF?S!N^P8)-~431|ho3}Br(aCS}U#r%_(I^JH+by0dJNU$4)4zk?->*@hR6UQ>r zVgx=i^=D882P~QdcKSi9#gnuvbgVkjm?@4VZvRbmAK*dyLd;X7e&aXwLmE%sK0PTpp(@p5okSwNu}Z-doOwGYv4vDQ&YBHp z6$;5u=bXa4-=Ev6?&-bHgTN?*i?!s8Q!E^Hgmfh!KN)9%F$`Av?Fdg$Xs=kM%C`t~ zn3iz76J%P09+{Vf0~$Dr76KMslf>|^PbCiOc*&vmc|C%NsuEZ>QzCH3TNrejEzdtHEP5qlBPDH_wMYIOgjyJBc zA4RVG7ypBN79iJMT}t?s-!Ku@+p9Iv&m0r*^|1Q7RDA7*v?Faus|FVeT@WmgUzM5R zG$Llnhw1q|X0)=1dZSvhxG~#ZV0b=zV zcjZT3(+SYSP*+cDsGVftlqJld5gR4n@MF-CMOI|-Iz~fo;Y`^h>fg$<1`N6<_NVtv z4Gpb22kj$m(k_88zr`UDtJsG|zLUGY`z`*`+3P_M!S1c{C_NJ2@p3qFeD;a-p(_Lf zSA)jA7-l(0Ox@)nwwnp|io91=wgBl<=LPGtb}U_K1c>OS&cBarFb6%fZsJygweU4g29+7>9^#zhA7Z)Cl;iK&eTHb|~nAXaACzS{ZiqY8zyIe)*-eQ}rf_--8j zhe!N%aG0pb(TshXgyoXqlJk!cvoCxwCd}&`G&=5@&2g(R!uZ__+VR(La@(R|s0%xn zpj&~8e0Aur`3nH$NTdnt60sX9Z@xM$QdEMx;v+2OKgEGVoW_)8!2(sZbZuUWhjeeU z+lXd~goneSSZBVMqQGr61Z|4UX~0dH20L$##JeX;$} zx7U<*%PqC0AuI6v3Ig&7jH2%%5LIv&@sTRM-fKi8l5L28h5{&PgZ%p(kEW(VKwc zMm9o1%`#V(bpYOf84nZMk8=z9B2-}Rj5ILVjfjujnm)lnkZmAAiI;5k>Oz%yE*luU zr-b_HfEbxzDO=@(x8y{D5CQ+Aqx07WtpYp*0()3*1g0AQ^Y?dY2A?vgT=Ta1d+tv+ zzeEbX86ODtIMoJ|I}m}0{R~qkczn{ADbU908MiXwFgEP6i|={w_j&Z`0ytL(&eLC= zvrUn?O&YL*2!f?LR4S^954Ju4J}~`6L!b7idlKBKaPXNX0ujX|`b!K`+@Ofgq>Ctr zy?ZU6zTZqy5=NV*X*0mwHm0moRFPIHT!=ihCw{`T`lvakZi;yu1x%n0H^X)MUfhZ5 z-{fjLaC*d-Da>tiVTmgka0_VUB&jmPCV6eqbdvud z_J^VK2FrF5F}m3AK#|R5icJHC{X9|1q48;q2x#0Z09B}~6S z@VL(^*baDOKDS;$*L0Yc0iyWFEzV0WsHLjC(1iuI5Ge2vk2V%Or+4?-y43h$}tHa=OCa(5Dvh9;Ii ztS8mZ-vcSM8KO??N% zJR79XjqTfCfR#w7^;3IBqS9oO(%w$-;}gS!`0){NH3XeFrZWtaU2X?2_pCc-!jHR2 zf4UM`m_GX^CiPn;+1h&TrRa_=cHMDba^893UrC6^p9yg?V?ifkiAQL{meE%oU;S^k zs(YJadNVvK*?}MoeI&>=%p(Q4v&vLXT>VhBR)&sUbgrd+a>LYV4mb5t7m&^yY~M_GeC^ zP$o2I_OsqUJoM4^sI6}4ZYhn$x29}uur6GmZ-4Wmzci!rbnsf^eCINbIDZH1^VIt( zytc?n;Lb9VA#x3ar;Uhz(@Duu4{L#wth4=#xW%$t!=QpJ#Ygf!x|?Xh+XA+BG6YjO zMxuo>49VrA`qMriIQ)tYAFfYNtEVlpv`kwl2=b68Mk;h~gu45CINo1V|FiCRkpC2L z%wN)w4K&Eue_o6vt!eXfJ z@%HEs2S%3uh$0-GR46n$N6L1h?>|O1sL%b36h%*n92J<1gDbq6d1k)K1v#bgJnZ{L z@KR}O_y8ygO7A=VFm)XDf${fTS&FPKl4I=J2xAX=^)%*uiO)UpqptNEUA83%+&Xd% zK!5~0J*N8S=U9@HhzO$#qsM@+O>gKF=&3w&4^#~FkVP?q=WNa2Z&YzCk=yU-0-3%5 z%*qC=<#_FAKP(l@D*W#XlLA}8G9)pr0-<5udKucr>;^rfGm51Zs=*6?gaJ=H3=!sq znId%yBlK9lc*k#01e}-F!xeELqRAifL~M>OTe~o!^>M-0W!%~BX{22~7wDl}#^hRG6 z`nT*zcFeewbM~>hxw%J0Uw1^u(zxMB zt&rk0y)Os7ms0Nn(KiQU%{Q;E;lpmEDg>J|CzTNRHcj_`cY2)6{aXFWUobE%%*#LA znDK6t=z0?NyF6Mq{g3$2k$gTNZ`lV(1cF2cTU|ZGMF2#|J3QWi zNwxHP&{?7Rp~TlhJPJ-0PY+zSUcFcJB0rVmY3oV;P>T;>6|W=XLnQt>^mSug?o@Eo z6+bBhtOa8HLpeZ++V6Wd_!<-pkQf^hB*XdrN?6Hl*Z}7;>*cyIp%`rKj6J3*8m;A1FaTPb9ZrMQ*B;cHc_u|Q7DKJNzJxj!(K>_7a_(9wKECAX}ub1@$N@1_4b`fstCJLRF$_-8Nv zb_R|BXZVu|YCaON2UaDuL=WM2;*b?}B~!B?S=~a-pisEWEVZn7JjzQU*iF2Cxp$fA z9gTo23cEUiiYhpGB(j-p_R2E}VGYt-dH(^{{-EzSy0Vs^juV~(=6!j@5%QUvo9=z| ze*?9zkqc8pNbS*CQsczC)EIkUXz`4+b|lDp8CWoJ4tEBq=g#$_yeW0RNn6aD_i+{` z6vnu=5U4LwTxn=_=Z{AT@{u%VFNJ^oWCOe0`-%E4daGD=c=H>GR ztSKNwJ!uXFr|UsqT;k40g{*EqOr0sq6{|sy7k4r{tJ{yv?*lT2xq9O@^>ARPVBCLZ z?kH#hlJX>P&`xrjpGwyggEF2@1UX&SBKiHe_`}`h)4}V|g~&g+poc3c zrN>@9g!OHyk6r{=yU5}MkTseYvXom$}`Gzzo!wpaSMij*o-0)Jz`Q?Ux)e`!Zp613{ zd)@q!J!YkIb2G{d+k!>`T0#qh`8AeipP+eP!qDZBgjc3WoZtwr@&=E?BYry)Ec#|6 z5@5{#lhbK~N+o%esovT0MKrHSbv_MsxVZ8)Wlccn5p=~m|iAgj`xa4n=l!S762*Y#CUs+4l9s4Dit>rI~bu>6pW{}WG*u%1~`@JR# zs@J8iKWb@-NStx2Q%%4W)8BIGKi9l4!~(rcV}t#E^5ZZsqqTlM;xji!pMOqie9TE% z*!o;tB0>+`;OpVnYrGRbc1MJ@KttdGgyn!!*GpDyoro+j@nfUdzr9K3Nw*8DaeOss z5r#J<;@i`@+_A1gDE(<`*kiOQwvVZAo;kbQggsvS``@?xBP)n)%&;E(T?n1eg|6@F zaGMv1`geEpOxgxcT%skTXY9b#+2~u}v|6Y$9}rsuZj>b)v(`eyn5$SQmD7ssL*3yn z^kqgn;^H$FLrj3RhyXMXe^v*BibYOld14zA1mQ6l7){k# z%ZxI|s_=mchI9S|U5=-+eTlpNDqUIy{Jq_@5sWmy- z=a3G#*UnoL`OV~I3!|*zzT!LeyID&*uj^?&GP#3s}DPXP#=uoSZ+1qGXc`! z{{Z?sB#;e*$0iVS;J)oQ5K^=4MRz86BfiYYUq3fPW z7U|JPwT)#zbq8?F9TnYzAx_2;fEAjrAxGC$xX^S+9Y6VqqlGJQ*q?5A!=Ku?#%dbd zXF&HvS4H2Vr!dXt_8}jI^6(1+{chdefo1m)E%d5ht-xL~`(E8Rb=&U6e8K{K_?)dY zw}fLUJCVFPp=pM4CWlG;@b4n6x#1bP96)tv| z3OPXhh5(@dp#ZmOI)M`QJ06tebL09){Uf6p)z-;IjISXz=1R~Vdf&_y|An>SatE9J zAgme-`Zh0q+$aU4p;<=865bsCW8tqgs+x_niKN5u>>cnh?bu>tR;dK438?U-Ajf3- zr{@?u$Fz53;~;t3-Ghb3n)*AW0YRnB4=}ZA;cS-@9TGvAny-jU#rD2d70SSa0_O%2 z;hCsWS`XyK>?jAI@2Swc(?|=V1`u5r4#YVJ=eaH3finsP4iF*x&%Mt1+ z^UeRDkWdSx$Tz_5o2TEwCWf#i`7~068t3l7%zc&D^4sk@(khatKM!g#bM~+hJ`@MS z(aXDgC`1&X^F`|6wD7RvsvY#JnT9b~0nvf~At{0H*V z;9I@%z*e>!L}R9ssS|`qK9d0S<;(!zkFkg-CZQd!dO~g2R_WPDze(0X4{e`ttdkxD z!+I_<6_$L8(|!1iRCN9B>{vOaV)X-NGo}UC@8$2XqlWN8TUlTB;!n%|=!|f`ElDIk zXFRAl&V{OY1j3%renshl7s6|O-f=PXqx%y%QcCsj&+{7!3{z9Ta z2qGkc2L>_o!*T6*PY5%EMgOkc81UyHAicscbxXKBy@j+%(LiBMTQ1xaMYx}Em-E%+ z^6w5bR%jvqo`G~tyc%Q{*wyLTn-() z*EXn>_@Z|{BqXTKy!!m>^1_`o{Vfdlh(_Pg++O4#neJk@RW+n4DY5EWyB~wO8zWi! zO8a(V4QLQ1$cY?N>3z$PqV(T6bEYcwP;Ym z2qS|pkN7n0SD75F9SMG++GM4}IS6_@IVR@L`&{=+*LMg4U*IwG_;`-)_y3IHg+Qao zWpZ-)vzMa(JR^!P1B~ka9&!-t!?fy5XQ&W#_`v?kkAUt&+Y#rSS{{+D@4Cs7{2Ztz zSDi^G<{aqBW=+g0_n9#eaIX-sQo-bjDF>3N_z%)QFK)}8v+LkGe42r9B5{JgSSHTvo9lp9lX162)I8ZPg-xtH1x zWR!0{Y&=vS`ss*%x)}$BM#H3^akEINL?hCpf&R_-m5b;*E-wsxcoXl!Cm7*n$?I?Z zW?x*NAfiy+lT?tL+*_#{9(7L+WCgqWbEj#Wp)S~)l<3}OyAgnI`jb76+ z`1*%|Zj4=}><+{M{!0RnCfZkLY%fU<-W|@Nefg*WnueQ{*HjVigU_7GVWpvkzONMJ zHrraULg$?+{{eF7X?V!S(t+DlL-_qW?3B|m!~2dS{ZzXcL%)_`NSw3_^ivgiYtIuqWn1c)Ru!8{I;U6!l1${G27g0PaJF-7 z{k?0rWTLY2yzXvhRg}AmQrGli5<&2qJ-pTDbWX3uX|W;WT2gkZf5x zPWmX~JouFqBF-YP`LO%;|Wpp|es-4#)uI zAQYGz=`Y@TU+b8;C_>%%&9|T-M;8dLfH}fn3rG{MYBS8!G7L@W>p%;AKJ7+lff*Gw z-h^1#_D8KEptilqj1@iDF&eR;6lnt)WO@&Emo0}cPW7XIOn55O&IT*HxVRDt?OAZw8)efk2`7R#*!EQ$ir$NbpZ<__Azv3Zw zU!#p=2FZl7l%zI=uy>6~7SoFFTvcaDZPO*+@~+Rm=3j4CVjz1bbdj;^+d}t=0ppX8 z=IWy-Gm_66$A!vHzD(Afoolt}+zxey^?V{!izO}jk-q|k`*X*bYSQuR7%>@?(WyTk z-Vdi~wrYZM=%^dbmvp3FrA*gR$>b!>1mJe>HqM&5WUXCs=b7}BW9mGBeS-KNR0H)} zTGQD;1Ppb$D&0zL!rMRbm9zIM3)~5i-sWutnM^txUb$OI)ckBdGZgDaFJXjowUW2B zR0J3g4W@0YlR25ft{^F4&w%Np9A9XuA1ChtJ(&-&lka!WWDp)N+WY1RsNx-M5~OyV zKB$^4tl9MlCn8Ordu{qYjXyol)?=a|PUvayoRE;Z)E+9aJ2jMRcw53MmyKb}OcC&* zP{ebvU_gKcnH@4oilDfqZ*~Z`@*w-mZCpt!0q0pxqSX1kf+b3(d7EuaenVnprF()JH{4shz86yg`&CyZPaF!tE zTALDubg>2EVyRI3849GBu?0-?F6xjkA1iU<3Gcbw-^wZX?Mw|Nc5C53Q~r*ktCtE4 z#TMkqfw$2Rj2A<3pEFoSh2nR*_d@)Dx9z94E%lf*(KFl0tqZr*H-gvRV=a3geH7>; z3R{#vf`xq@;DTw;2J`!9_FRWT+V_{CWf$BEHnT!-L&%O)RgfiXfpAB80|}lOsZx&A zG%^BVPEPw&!7Rsw_1&0H*ti#7!WVm&iT#uViJ{R6$uVlx=JJ+iGrUn~0R@6s9|%G} zN0El@y3mh#IPsMXmlLkT;GLxtpdTv^LNB^>^0VI_Zlyx-D}7=OF1`Q6(H_p~==CY) z!lu|a|2lQ_XnibGuF@29e4{Jt4uF<$n(v%IYF;=DN)E^6ET;jU<0ltvFYr6%4F(6a zrZhj%WF}GIq-Ra-@X5O}$e#4%Ek-QsX{vigMwGSMV+{tb3(^@Z>ECfJ@-h(x8gRfM z2XcappI<*1*OSKm`m6@c;x7~aJ;n?-O8{I509zGJjtYx0eqMvM&Dic&wuD~csQjVN zCnmfrHysX8s9EYFfyAD74)6^6^C zgS~S6Jj7^npm!qDtX8$RuJD`=r_u1hcl`(4Tr8N^bYeAmdL-{uuMZ}-EzBmL4E z=r}NATXV-Xy9a&lQQ;WFEOC1AEtPI8M8XZ3r9FwRpY+As3&4tOZ1&X;j|am+dbGlT zJde}Q^x_I!ux#$gp|qbQs`zq<^2d}EWzTmJ zN3wY-TM}FlJVDpmWh_cjqS|<$Mnpf|jB~=)WPMohyM66>gN#5%lQTczvN`ILDv2OB zMwr8fRJ7X>f319Yy+?m~%q2oTaI)}D0E3(|4 z_`0AX(-b7KmlVW?E*=_)`StVP*`?Vikc;_#q;u`6Er8&>vet9}4mF3vmclr*Bs$kSdo3UgJ*REls{+XU`OR8rmX|!h z>C&X-;?lpx**x)gQ1p&&2qG0c@88Yz80`l(c-&AG%s}ry34T0tx1R_E`z}eVQZPG4 zpUJcEcbz^}iqnW7&&=Cw$hY-_NGz*Sx3ryQ83A#((W6@TLX>#A`QQEGn?8fvH*p3` zZ|%OvDgaXa((R3~Eju!eq5rgPd_7^jNZL&~AxgO1k%V&Pok<+EuPhs`2Cft-=3*`D z%6!=iEkvphzQE#rX`-NvYZ36W1z?7~1;>zn^Uo}VWz8pX=Ask6I}B4cK;H%kUvHCn z>L|8mFWq}*h^5IRLyF~iVdNBYjR?1r?n5Lb!dlA=-&$evOxjOIVSe-MVjuuK`PkN2 z>GjEAzwi|IMt-X5WMIYEf=s#BEiiGyhYI`lad;fuP=70HKb*jec>x8+F9TaTC2cda z-ZF8kINULb!*_piPd?(tQWaphnM1pWm^Ozz%H$4Z1VERdB&gK$Nw!5YrsAJ^x` z{D=Uj-hwaPD}!Ea=GgaC@S7U#GriVlT35IeCqrpwj<1_M*V`uCMY}OC6J?rnrb77n z`&Vb2Po5&^xDwK}%-)YU+O8z&|H6=i80rHRwwmIC8QG=bw|R{aidY|W3U zzSJm#*zDB_Du1|2omOc8f9-f$*xMJlq39IvioK8>nN~sjfx$v+={(m!d6V>yx-~}x zi5W;47nu<(^n*`%;gzMdBFijD{;&yu9qr8hD)>gfB>iBBrqx)AdfT5FdFV;OG&5^^ zFz$QCgH;puz@{687<^{sK)6Grpt>k^Soaeshw5V0+OZnlomp2uh&SHFX!-qzK+RFX zYQP~|^YL&HS+oqizRyf#ye%gEa~xjkLJ%V)qBNzbF5a)p0V9yLV97%Gk`I!2ksx## z2s5a|Gd`6LZ<_Ro@P)5p77gxWyTe>Q8cN_fP$eqY^^D>8*44P3Aw@8|c ztIx5|tNjHJeAkUXq(VG=wZEZsSY*h+p`B%A{m8TXQr~PbXS|=&CR^_f7BhOn*;b%1 zo#rR_sx(G;cU~SN~t=0j0L_NvG$F@JL!G=ci-> zoO-fyH9ysDhSB@~KCmoJ&m<-<75US}JFW^7tQ;%SQmJ2q*qQ!oRE1`!lwcKOov3Y%XRUATv@DyoTXpj5VYk(jeeb7gdMjnEj2FeqioSOiBJe@kv8 zD1Kn9(X}Lf8rM_k_#2K1T@cHZx-_m^D3eE@s0EPW6OHq=k4?iTk64oydxD`7LJuBR zey)$->lWO7=d%iGr^E4n)>r) zH+Z&+uRK1xiJmqU#$8oBvR!GnCvF z7a>gPUiNq8ypg!yf^Ur$amC-m=zqB-^67L!m%p#d5-MQt$&R?W4y+%?n^SHuOjww$ z6|urTD`O@Oz4u_81J`9@xzlro|0m>ND>YV6qPl!nG~;*HcCHWLyBHR;m#Mik{}gKa zIiZK1rG)_5TrDvBB`wk4UC2=B{6$phVNn8+>{E++=Go#;kikH8Q}jx4x_XKXyHI}o z@?h!h%Y^Zvy)DKe5p3s7vB9ials^4__!Oc)oHvTheCqviAD-5WEfM6(lrYUDGKU6W?%MUEweD=aBMqPvibw zX9g(OkNjJ!d&MV*V@J1{hTB~))l<3E%G0vkgkwjU~xxsj3 z(cahxi};rrvk)B1`w^4$n=)Y#g#~%JcJ|9JWQ*5%7F1CC8e>=2JJ|2-7KPmgI5-P@kT&MLlXcC$DR97{5@SZNA6FFxDsYU zZRcrM+$@2xx%}ISmeN{ie}}04(%_MUJTWvw*sIBW+s#L`NgrN#4SrsTz*S0`1+Gk| zB|v=X#_4IA{Svwn;H#_dIm7oI*!@LjXnud>ocklVj?tG~6YCcE-`ozrW%WP*<_c0^ z=Q>lptW6v~X%jUclEcNs*WcgbaFzTkDuD!Qgmo4B**AC>$OmMO7ULcqf`cLIV<%QX z!FPFv+e{(qY^-$H6)oG7-hci8|Q5f1gcG24#oNX(#YE;n0WSsdK zaq{OI5QX)+HvpNjM(bmdVvU<;k+`7<{5GJ9HQIg{Qn572_%q&OhJ^^WVs8U&1+0w$ z4{L}rk=oeDh0TZ$Ru(%(&2*qWj zM{}G;rQ9%@KG-EA1sqr#K|1cr|4TggB>7lX#J}E!I@{gjfhR7g9LPJ|==5NTtZ8&C zJ=O}ePaynnEfs_cZFpqiqfkjT%NDmlb*T*aS%a_@?NmOpN2PDoI^`415Z$Foi^!=0 z!oCdNDW_RG3nd%(6*&QELBtm4$}s5Zlk=k9B`5dy;APSpegQiK3I*=6vP78=QDyN` z9W5nG449AjRphz%+u-Gtgkyql;=E#Z8Y5x3RgaWx;oa)OYRJ0AtMq{2iscLU zpi?Rjmv;t3UKBb0Ct>HfK_oJ6MBW3&*+zJDIaRa>j5V4^daYq15(tiW zIUX&%!UEcKpHLa{9Cg6Sq^MmvD~(q|Enm!|PKAZbE2RkV4C0(Kd-3(7CAUa8A{(G@ zU*SjaJ}$K=1xB%pBk@n05gGa{OAZLwM@8Cj9>wMZ zY#7%NS}p%A1eM8W;dcJBpeHqri^l||>@i@_QqK*g$))b+yw?0<+Ot7SgeiI{eiB!q zI!EqNRFKt=9|-ATq8XDC73Nbq>aE`yDr2X0|X`)Rg@8Xy=jCNh>?^H)4cY3SJ} zUyRLPqiXW|hPGu%eUl1oOg=&~rv*J{Y=zK-z* zi%?S!Dl?GKm%}9w#z)f4D7rB^SiG^&$52hUX{>C#Yt7+%|#s&Z#8F^jbMaE12i#E^|lI zzytZCsc_MJ0g4qoQYo_4a;!T0m&i*o$PlHqvQ}jgSAz2c;@tiipY_)e4h5|)k$9Fd z5Tj}K&{m@i=_7ntWu#*2M-G-TDdh&J-bYW_vif6kPx|BH8mGorKhIA<)vEiSWsq-T z7!wOZs;2jIAqr=120h6O!U90CeyvOg_I@jVUQw% zA~Dwk&kHz9CV>dA&*HBar4Ia}zV~I9LWVo%dSzW2?Gv_18gd@_l$&t4zH+bW$6fwf zqJuim5>Rp?VM5b_MJvK*{<4jVe@E}G{Fej2&Z=_@4Ik|6IhpwNl37gnsWbGUI}HP3 z8kI(`&Tp3VS6!L;NU`FSgW{D?*LNnIw%YtqUKh;rzK3ldpKGKJ>f6ID8;s{Aq z$gP7~?#Xu%dNn{7Awkq;p5C*%WmQJb*J49787J`WI3w>R#g zinACwC66Nu=ViS`-{g-I7;sb<2GR@fwtARVJT$fOq{NsJ#a&yDslJDbV!A8q-k^dUpWi6HNP(m9j&gd5`*IY}JpS)+JLO%lrG)p7Y) zmS9%CxE`nD_hP?0^pug`*k{GFoRy*v>(yS2v{X2c+B_n>o)AIr>=sRkcgdoJ$ zR!MU$oUp5udNR(B%)Nc#(S-zli;dDnxr=`PSB2H)*j%D~GZB~($%EbBn@ziycU=ib zjkDhN9WNsd^}Pd!*s@8<3v=vj%TDik<+J$-LyROd4NNz zIRq6u%emQe_sF)L*<8MS3{r1RwxZ|&k20c6!MMz?Su#ByE{l}+e5D9vgK)0>Jtk7l zi699NL^6@gle+9+{^^~Pwz;~zfSu2u2~{565_XAYtdA+wmkyE+@9S+Xq{3tPaRR>G z2j=m=^%VJ0y48AzZZJv{UKJ^Oq@gXC?UN%qI9+XKWV?#xM_auUN|H`SDn?fh@#C7? zE@xtdjP;t~r6WPM8{kCvsMUzV!lBqpZ*5qSqA{+6Az)r*U$`!(=-2I2s z{)mGxFg^8Rly3Ez5;o2mj)2e5??tn|qp|Dy!GUZ!%xdY6a3c9?RMIyeXTN%oBuj{E zvV`kQ0ktB68LiGSO)5-NzQh+SKGOeRG>IQb>zmtvz#)vzgbcaCOok|fC6N>D1fy~# zxV3Rx2Sj%BrIK`i;E*Cktm2#ssjVv5oo2lT$mP|U;nS`LURzzJ&sk!3nIdHO`knMd zvg9f5#M}5oJc!mwTa1VbB-TMY&(;YuzhY_i&MHCe+$c5xqK(tyg1$-r7Pq9rN(X7P28%x}<(<|>qAMygDFy-1l-TYJtsnd(X5x~0 zsbKHbSdSLH?>1}*ajVsICcg|lPN_T2n0~j1ISPt5;q~A9VR!$t*llkuHU}yhv4P*g;FTS2NPPdRTMg zOVY%c>JN=%16DLBqT^Hsr?U=WG{6GGi@%petRk*xWq!Om3<76flltvUnB8CwD{mgV zoEE%*pLD{HU>PAZ;ZA^zusSI`tYJxZpssMW)BC^dux_5yR@$td$k2%HH$y$oIk%}7 z@WL`RtoB70H{usx^;;uavGI@Y5|ckqarr3csQLBl+NT=za^G_0@k{*M>Hyk)Lh zw-hQr)TgT1@{AA?D_v)l>ZH$(tC8T<+lusN(;GWu^~6*Fdqa!O_W4X2wSz@NLh!y6g*l`qKTz0ZEg zLoCW{lM^#?ER@zwi}xUM=PxhFdzk&EL@6xt0YL{2hCJ5hF_G6B4tt z^N}|hf?joW7*=vmj7>0>#VHg(`TTsucK6uIp9t6ObqP)+!>v>*+s+k^iHD{-1Ag%3 z0dK@i)uG5h_W+J6?Kp9H*K671^y>^~gPyo5`! zZw_8J-hD{LLv*GAnsx`9(T`2}Tn$6FJg2x9`~;z^bjhQf#Ir|Bnot$SqrRgw7Nk++2~KF595W4Yfjd{xM zWpb@|p#E*3?;amY8iWTayOo}O2Xy~w6wBSO90?MiK{pcD+umi3Q+?Ve$k1N{s9|*$ z534a`u1o(3Gi_oh*XNO#-UtMMykcgr6!)-brPPk_u)+6%faRfjR6Yv~;V>JjlDf5J zl%M}qd+?zw$l^D{nSoFWQJ5h;g22re?YR8U+>mwZ@H>)W4K#>pzfv4q&r<_38*-3# zZYDT!DDh!-OB?cYp8FL%?x}l)scuPIY^o<-WGrQ2D-wRC!yXg$Fb}f@}Z+h zPAwkLpHF@zKdZhr2|w>$vREn*>bVy9%=w=3A~2NuGN?vHGov9PT>JR&-fh0@kv2B% zRew5+ZY=~e@lrOt)g{peVL&cusKSlk2ZZ3_1R^ykiR$&-bt}=*7Gv9~xhinga{?tE z(p#CqvB0-f)C%nR0ai+JZ+Wp$pAah&{Me!P@FN#6{YpmShU1PhQ&}G(5;YN4AZ5V8 z-|{)DIw7Z61){$wa}~9u1rxoC21Wrgb53R*zsg{arU0zAvhJAL(nwA5H(ZV<|0q zvKO4#z&jldIlGYK@{2{r4Y4nf_?*E%>$1II+saiFzXA3`2l?RR5->cEfr&D>^0c7f zU4uC9J#-qz>X_|LeWW8CtR{&66nT6oBHTb8z8?r2BE0cpyuPOsZAaq5&=pZn7KruH z^~PEQQxx?NR1;O!ABI&qqgc_CNQbft*+)FNXW4lB26PHAc^c-Cr1$Xy{uaJMxtBp< zuIPKhocu_p=;s_NJguq7#m74iVSZ7{bthw8u1p7V%`A)4c5V94e=np3)+o=|0UUcZ zMVp8tk~t%WlFrlEy_rEcCd^#cf4)r>P3u`))HHRk9UdgN)bTQzSSVoQ)OnLnpB_R5 z#rLyNLEh)}Rj}ZE#?+mU7Kl7~P|UAQF!ODI5_Qc2sE6{O?|7uq%S3H&QX++K{gD|+ z{yxye!lWoVL00a~7=)R9CGc2G0q+lm)ysvqVbb+a!>GXExti2=xFo$=?`4a_66`Qv z>h~7ycV^e0ZkKPg`U#~O z%Q}2-pcolD$NE^HS+`R2Rl}}GPpMKGH7qezPCs5p8+&jI{KH=6o+O~IUdaIk-e$r~ zK+jt&Puyk7I}8XrPI2Ob46_y6H~>S=NW(*ygzM+zS(%GNo>Y8Hfv)1c9p@d0SrtXE z^un;$r_Pr3(WLHzr2ESP68&}#F^@Tt+1T|D zWOXgHMwvxBVFmiawt+Py;s2M$o(%@fx=e-uc*>)MUv8?7%O6t&2bXKr_vS0A8!Y5? z9(s_SU>-01{IrhODF%dlJodEp_k*7{x)#iBqH4X*6k97wK-*CBhP4i9t{RmrFt@>n z;uQH-ca&V)=rSFQZ9W;C70e7Usvi6h80>FsT8$2`WFseuMQf61!P2OVgdw)51!nvf zK6(ibqj{GMuYhJk6b0h}(5!8y%5Yqu$|CDC=c)I71$Lr=0~}1VAs#;;>f4f&<36HQ zisL?BfJ+gra6KF^U6+SR)WLSjc|V#!sh&C1%xb_7n07$*~+QOvqpOgc;aKkC;-5c+rLNcyEjP z1>$Y1Ihi0_oEHhcmM+b82ZBWcU^4@*CK%Xb8eWOKWcn-yr5U_3(XO+dW*=`}!Imh% z(DJ>n0$f`pf@xW;NzRB!`Ph8wx22G@+WEoz*9a!pj?gK*ke9^3qx(Qq=Xl5S^KOyq z5W6lkIeGn9M7`7koX}5!JK~D8D2c%!4Si2;@LyR^4Py!ndi~PfDslYvHm<_TK;WKB zfB~&4m5Pq`2huEohN5|s*qv*_QzS9w#-fH>hNGq9*>Kay!s;(ICzrvn`w5rM#dTj9 zF>9~VX20miEKlj$wJxW@-1xZ_N;hh6sjN^ODM)tl^h0SCAa7KhW>`A zbIc%1#t->Eym^QG*oV$&H@W$<5;+CR-&oQj`wA6^D%nS&5$7(C{Jh^fiL!m_2aDa9 z4IttKb>3G~ykSqWe-#=ds7F97-rR^@f34ZQtT>sNG`eN%c}W|%uegiOhidRZa^Cz{ zN-=xydt-A+c;OhV!U47J>mY>ieL|;0F^J`lKPPUX)ueuhUF%58-KLZf{3nhx8kyk< z4MqXS*r*rhE91m{sT>!g7ZsxmJ~41x2D#W`VLj@e!^K-1ZWQ(ZiI0CR)_;klFbKlH zc`*NsY>9{Kw^=3yvbFkVKRbtnFWq`{q@;a)zbanl3&!fjkjvP4?tB^zOq6sF8TEeD zc0TIChXqIgd#rmoFFMKsd=BiEC|>@{fF}U*!zUoxm6;a?9M6HVNVcmR(n2PvP;c}0 zS@_Mp#OD;x(%W;_0&|4QTOVx8(iBO?!`y9G&Ti^%N%q~->RZwt~xUFV70}*V1pfY};fOnb0=UPh%u@RTQ4Zh5&R`&JnRsp}=5S9aOh^b^A zkg1oWNh=&=qRGmcJ8^wtFov5pQF=tACA#eJsHgG{1kMI+K}(@MgimD>KA^wGfxi#F z3mR{7xgiFzAUVeeFMNIFep)G8ue)lwUZW87S(ER+8=rV3T7)(ZZoS$2;DTj*PgD-O zdDX?N{70ei(>cUCY^eq%P=Os)@G=P7DfUJW0{mfXSzX+@qo+P%I0=6k|5s3mBvMXA z&@BL$r0Yv@Omg&H3&NA$6wunnPEE-I0ZQf1D zRBg&#vlgTPDXIxdO5F9jY+CsYxt5D4fluTtPQP_1y_)ibsKE4p;5OH);8}-VaZ4PQ z`<-rrDn;7{y&6ipYK@gLsc%ZZ;+>nUh(aSwT?!SI!d#-_XE7x)Q4&x>9_JDe6pw1u-NCcV-%R*(qkxwoxV`j&v z;X|Fk1?nSNJ+~E!|>zmNFMdWhmEz~ME9teZXtUXz# z|06?>YbFBik*meY^A?7Dr*LHi`kjRMz$78+P~hlG2=N!vRb^_{=b{Bs(aWPQ*CWS_ zu?gP?+yud@3O89Ib|HVVvuD=Nx<35!6WOS~4m$+*Mn}UNF%gkTfBr{a`X4=1Y*SV0 zTfZ*AUPU@@@0!leMtgREb)AenoO2bLI}1Mu#!Ni+_h=#u#t=VGSgCv}{l(7VYgCX%!D+sARw z{MjQ%(UeFl`6?})O&)K(m{P@^d(xfQgV9qUz7wJ_##o*b79hIYnP_*V`8MX2rt{CM z>8HR^eQ#F2t4WHC-7o)U0b?Y-0bgCRT`njM2%cg^Z(V`wOVV>HKgf`q1noR}yPV{= zmFjBb4NIVB8}_DdRkD|ZWDx%HRoYJXgyQcMClWYC>=SYVxJK zvjK5zdAWqCj>E=AOr?gX&ykVIK*c|iJ2;i5;mGX4PYJrucE&Zm4=;nPd3a=*dkB<=T{H(<47^>>cGoC(ANLQLSN3-$QgR zQMZ31RU2O>etFvmfezdh%^lb(NLE`LckR%=b7LYwXKF8g^sj-GGw2V~5%3kzUx}|H zUP>_X?0meoKfns7ij<}IZHy#{PF`QDP+Oc902Cprx!a^ieh->UR z1|e?kdYl{QI{P`#Iq?sBPr+-B3}c+M4o7^-;)r~nCuw@vC{JKUZ-+ggx&U)J8QvqJ}k{Eg%AEitg7m6|t1b>e_+{3O&T3p5VW_`c= z^JndLDc4l(FI`LO)w>)ts;gi{I~l}Q36w;XWSc@x9qg|$mCIof7~${kBP(aUd}78h zuW8=$!TxCr`7(cvu!U^hQ*@0keb#hPztD*Wyzob;oigY!frIpme!g;4(6XoQsxjM$ zs3}*K>$MZX2ZjoYq1tmV2Y>jPKJx=^TAQZy7}Rn1rw@Xx42-z5g{_Xh1M;=TJ}rO| z;HuuTq+@4aYRM4zfp|pmZSJdk%oSxF%((mx{^-?Cv#}X5SwvM;W!Ku4AB_6{KFI$x zWDmcr0c)f&`-#T0rTYVc{aL#+6kzlN;=tkf23$;UCdC6?Yz|`)ROcA+R)NA3HC-O} zKtMF?<890Lp3^`JYZVl{l70~}S#Uz7x}Uy~uV;41n2au_v!EzA1Q1ZPY0q)Mj*YrH zWhV8v1qkgZThw)_OTr}Kl7Kxprql3g05sA@&nt7H`e{dgh$pzgYv2e8Du`v9`jb+( zcRWt|iQ@YD1`Y8NGmU!5jB5P6HKM&&%Zjakj8{%5JR^SEe>!>A$WXoq&GtkURqeMJ zdio6jeZN^{r35HkG86jS zEX)@9_{z64uf^#HGpZK-*N?_rSG%3(?8|_gYkykATHBgDJd@*uWNgv&DjJEt6l_iT zf5$NXU%@d{px_ z)(g`u;sgtfo(^`%S#|H(`-`6r{;qbl@dMRjSi_M|1L{r7eputmC5amkEQ7^Xi!}-K z{2Uwt2l*!l!pN3s;ilr9&_m8@Xut0bM?OJnzK`rQ<1N6=@j0G#HQ;)GZ0pom=JoqS zC$Pw;l-x;Pje*Yd7B|sgO<0hI$1(0n{#r%7Tvzicf<{`jcpuGA+m&pKDHezkfsH9+ z2OkI1Kl2jfUcZiR{7SV|mh4*6geYLtI#I+)JOUDW|CzW}t`$uL1C(*YOo-yj8X9D& zH|-x%JcGHQ7KY_C>{n3omCxq8^OmjSM7;f6HqfDn@qL%4&*ANBe)_a)NH7qUlqL1D zLR7i)F@9Xb*bM{vIIgz`49@6@7RjEK_J`Y(k%`=ka+i7EWZ0{9J2ae2v3l2I8FRuT zWb+iUA$Ii1$|tq>*I)k6%+~+)(2Np6e#7wLZw!=o(F}IoOAB<5-|3YAn#8A4B9@Wz z(z8mBW8);PnpEwQ-F!PbD`>aoO&u?E#D=U1c7xA9n+bNqN&#~{Ne9OR=W6o5IO!Es zAP2?YC*ZG6FHl!#7c<53SgWK;kQ_PxP?REK^pZbzgSfir{rfnU?bK>Wfg641bSAoJ z297YzW6=*DWGh@NOEw_UCL63h1ILP%ArPE+)t>4tQjis4KocD}(_j(D%fttl+9`T( zI~~dO@9pEPMkxZI8Xzg5kX1-bIyH2@pHJyw#HazhWzq57gwmWqZgx?=3XRZy$kdcfhi1Mx! zI{FplercWJR*@@z^soZu!7O-zj80@;=(a7Z63AKB2`N3wP!1>|uMrmvf5pY#S@s;` z8d;n=f*p{DTnhB!M z@X^wJrrjQC8E5|&=jr}Qwz>M1DchB80rC24lzs*;Y^aJT+tjsrkL1)>8kt_))H#cr z)bon%)j-vwZK=3eaUJi^2j^zitGnTTt7ep}(oW_DlmpHCAFIS?oa1+mk*U=?h*z$B zY!q-Sh_Px=)ArRLMRaq|^d~w>&<^hFStw;ZnUcUrr5x8VRCKE`&O1wK{U-UqIHwA% z51SYGOH3}=ORPrE7Z14-nYY;J-3$wz2k=Mers^V^*W881b3Lfht$I2^=45<;diZXKk$zUt1z?yNhq zK+tWk!j!L$_M#m7c@u6b93>$CYOpYG-k&R#^GBWEwojk zy4Ge^2J6mQDP7aCbe?MjsXC%PbG=4`*6R%`uU(=n)Q}|lhdfe~6K{bCT4`&t=yla$ zB5nxgRCF}}IGIxdDDs-*$f-3rcr1OZKnHV9huXLrLmw_3#g}rKR-_S=Gf-1;@oD)oE1yNnx znV;x@+}}Mvlo1(Iij)@Pz-i2_5_{`PPkRq7;v_CRFYMa$S)9@{I^5Dc(JnSDlcUx|8PHVot7zK$M&hhw$KG0{tHpYz9l4+LC65!Pw@=E)!a+Q!m0SBzVO30ZeeX}buij*6Q-uKVV;n&ve-CB10 zy%Kr&^^XP%GM8>r5@w}Fip28K!b5!v0VAx6S~mY9qZESo2?(=CKT7%Ij`&(;iWJ&Pe#b#j~QF9yxSU1M_XS@*4iFc0n4N~0?$__ zX(~X9mW{-Eup|^EQ+MPmKXLyeje7Qy4UUX6YeNXC*7{=^K5uaNl35s+x2$=T5h%Cl zt6sFCc=8%&_=p%iRElC}XfrZN&nwL^nsDgv$0arr^0zzaQema>N0O7~Rc}7BiT=X4 z8}crqD7|D!D(C;)ahB_nx}2S7NxBmGwaLLZ34Uz*3kC)KmAV`NP=?k{skz6;Lngws zg3C~;4-96Cp;7vQY)O-j4vE=ISx?e0jw$3&$uJ^BN%UfwtfiJsKvQx0+NSdD+p9%` zpJl0!j+I{k-rR<$E)KvkFRl}Mn47gEWeU_8K|VEy@VjvhisCZ7x;h;?!JS0YUB;J# zpZ^*k&b96l(q=5H#|K{Pvo2<*SK<1XEWH6e9UNI9!Gai)gmYDPGRU3W^@J1D#$7cw zVuD`e@2D+H&m@n-ZyoqNN%UeGY1Qffi`f2SN7^X}^?@vM7K7%vZ@s!ZHzza9TKJgX zTu*p22@^+JTx6T4d*dpFU8-j&=nl&fY9x(+d`S?Pa5=?wXB@>od;;^I%Y13!T>!$a z@deLmnu^l?KZJc{SRKoXSt>qj$vpXoR!6n>DHXUGXrEQ=0Ot^##|df* z6Q{+W&M~OQ3D(J5WievJnky$q9+CG{Fs*hREhznS%DCznX$T-0SX< z_}c zJ$xfuoJe%YAne`gpkF=bO*sgP8Q8NPHrG;|)FdlKEcQsItNdi!TWkS3*r!>}7u;qq z6}pUq+IumCT}HgyL_3WSBLT;^!={+O7hWH^vn!A@H*a;GA!|?#@SKTE6|&?lh;mX} zbB|0+k!qBlX`<$(E{H)^%Si_Q^f$y}?KOmnZPTWXQ*%XTopSlv_(Oe3rA(jz!6XW! zNDZTT{w8?h?9^|)hYn6EF1N_-ybA6zO@CXFhR&x#v$t&B$u{B8@#;XudDZ`;o`Zv8 zKtO=r_0bZziw)Woze&I zb(N}*!#CoH)WL)2MK{nn?eR_uCsS|@COnvOsi2LsOVj=onWK%Pn)Z|VZRPJ0IP5Wz z;x0csVwfKm+S06ZYRCpQ7Vj0mGgPoFQj5l1m)1R`xotHa$Cpj(C`+fwXGNp?7k@zY zSDVkO$Q$fq5$OoB6DpllR>!X5^BwS1FOTd>7ptH+<(Iael+>pb-UdMjk@z3+vlFEL zhUr1Ut?3M5RI}?5%Zja^xT_>#1=-FebVa^aC7?&*ZeF{N-C1ybplXcMMg{56FJ+_q zOOVWT1a;iN_(XzXqD11esyR|RpQ4IA)VkS`c54it(E7$WAa?j^tmrDS<6_L|VfWjM z8`(A$k~5!4<#c5hPMl?sH6}z>PuJ<_B3_oDWN;yc(i7@hb>Ss>d#fyeHkBWGS;p5R z%@^rM@vtm!FCfPS=6o%2pKAhz@2gjZTf_(T9VyY^E|)REKp5(9iXd>i1V}qHc?_zd z(FZEb7*1vqQNfsM*iD;ijeKSfSK>#l90W1NE|%D9`rh>4SC+}Gp_|*{M~dZcoTooG zKg^{+CWc0Q6C91K{&wgCY|fT@25b|q<+Lc`d>Chb25fjP`aJhcKH-GPW@AW{#u*~m zbQ^Ur{k2!Xm2Rh=6y@#N4bJe0>Dz0jBeNTc!~U;W`y8x0E*$mz=DWY}jGtmdHuC9C zyaztH-AwrJne{AksJuXF9GCze4d_flH2B1dHiwH>G{zT{G!kAoJS5 z;x2o~?ua+Pb~-ao7A13Fyh4!Lz*~QS1@)B$kse;r6!cAmmv_GalaWQoe>jUYHlU+r zST@oR-9Lw@kG+gp#O8;rsD8daD%a>dYKsZ}?b^Vzuh~93Y2ER?<5`&DbJL(cu|5Q~ zVxp8AnWxDIVhmp*E$&4{o8*BlJ&ZVihS_>0@qQUPEKpZ}P}BP-%#@x&#hVTj7`VCc znlsfX=v9_vRv6~Oiux|)G!|D1iRDf8R=zm|Bwo9r`6V{IlE7*k5Nkp=gBTuo+tFRI z`?t+SaOblWn;Oq6J|yIUY8^PR9?x3>Pn43^pHsb|mQ!%jv0P-*mLB85;kK(;Tk#?| zNe6KWIjij-RPt7qTi#*xu4>Y_%n7< zKJ~c4YHTwYRTu97O)^464v{27amO+b%l2dl6Pv7_*sgJJBy&`CYjj%&#WvR(?aeHA zaxuj}4_v53T}dKDS7;6Sze395#?w)sgRm|T$^=oVcmSgUi=?!_Mf&!a^Tr?pq6I0&C%ISKK_?DfEi)!o5 zFPi?U5iW|hbM`huPR`hoV9L+dpGmZsnnm;G**C`y?sFX>%Xsx<=4}b_;EY9C{65jL z{QONhF^+%w0EvOpNO}sHirafrS9kM{itr5ur1f!AM7p=eJjV!rPHUH45XRx?%3GAa z5p5m@9~E!W#2{_tm}W8JyJfQHp4fO%t&Rq1eU|@BZWu}Z?b-}W)8?0ynx)ec9yxct z7lsigNc14|RFx=tykp^(!pAR3O3$|F(e^68K;bIdvG4ik;OnoFg1>Qw9>DXrq7&`a zPwQZcv?~ji2{7Ju;Hr*jyxRTjd#S^GR%5v%)!=-+aB+uy|J;Iw{m69|AN$p)SNY0& zcu7nKouHtdmmUMf!X0(y2Sq8u5{3_G$42Z^02Mskn;Cz|$NT}^og|-|R2jaCSF-qq zT}JTB9!A?el>%>cWA#aR#RtT}Wfm>n=)g|yqLpCk8d(wUum{?s^OlH#I?J1t+~*G7 zdMx*-i!j_shZ0d(CYg!;ZUeon$AZucPJ(=bX8r}WdGGaqBH9LoDyap3G7k&Xe4Z<9$w)}+%E8$+YB<3Kg;=93QKV5 z6$;SjqnPD3oOZCat#WcJWBuCBC%9bv$zr-NH;2W{y8h&Hb8WRoM)|Qz;Fg>kW=*F} z)2Te;`~5xVVajpin(M zy*BaJo149`#%{ZEIFLCzW1MlXN2a1W)b#AM?9In<$yc3EP3Iv0Cf8%n*-`O9b2R`1 z%SunYBSKBTdU8Cd?w9MNO*DFZ7gMk`!_q7`Axt}E@El~pIVLt(S6$mbW-L+UpFI9$ zRunbX+Allh*j<7dXQI^T{XXKB4oZ?g=KLl3B#KN3?aVlJ^yxruoq6=)^a_dPoaSwo zibpCHxsoXQmk^m%1Zw46Ti2?M{xcm|bye6%?bW6{_^$^dX(xJ`Hk!I4D^vGP@e zp2z`+b1V&bJMjJF=nL&%O2&*N-A^lew-)*vhagH(AU+~BxbTXzQnO0(goU(hxpZ)Tx`(QG(oeG%t>;TEC7;ockKQmik-|960$dlFNN_L_!r@p^+;`dB zU?k6*PA-w9YtGa9hpj1?4c`d;OgzF-8_xZxZN~5o>+0u)LBdOX;~Tc%A!B z5S?eF?!^=%|1{zLZ(26G0b4TlsR(Cxns8W^n@e>nwfThqcC4>WN!J*QnpqTZ1HRQ_ z_;j0ng$hCnSBEK+E;@HmeY$K;xWLXH>+hI7?8ff=)hABuXFLU-?(Vts(H*|k2gdoS z7gu07=II+&1iTKSTFM@0V~9`hybCnO>eNL9Q7pBM*O;6(hJi=})uL@o4A7T-cnfGPFT~99MV4gX^NaDq_v-q(t#pqryw^?pDfbdz``Wr5P2UU`pNU) zd}xKmz)2P9EKRHn^QH>B%g|Renve%Iek3>|btK$9a5`emiq`6@#Wle(2h({1+Pb=Yttb98@6WD6+HOJ+ zdU-up@Ak{%BRn70pYl0we*4-yJ=}I23t=4`8O29n)r;la6VcCKYl?Q}?%4Su=B(O) zTveAGwp1HWq$*XoJzdgOr<4 z^%-_UF2%|$PT2<9KZ2m3^Yh&)dfTOLe_(pZ)m~|;(GM;8*1=ODM8nQZ)C$gkKtQTy zJEpm?Ps#ywA3M5%ibcr{oQrYB_<7&QbZUsmcHu)vpEkX>=uaxKw+5o9)T5yIX7i;~ z`F&mqE2$docLO&Wphk=MmBuX-o!jDAZ_^BQbN@656BMU04O<v zu<$^VNocQCo28?FL-Y1N`HX0m>O^TcJjQ}MRmB#St_*!W4Ih>}{hDvslxOcvJ&uo0 zT|HYTadgn5;&MAaq!SW5k?aux;Q?XJ9+hV1LyiKTK5&xu*?4@bU0;fp?GU5Qam)4I zr35jd*4=n~+*`GBgqaJwfpSfI|E|WP$g!tqQsbMQ^x(JA1dy+pv*LVHM0dZl&cdy+ z~y5TJoGLtkGwCxW38zstw%je`a;NpmQyX)t#{OjHPZ0U-a(o;KN!UH8K0IFZy`~8$(}k&Dqst}) zk55ORb>`9JHq5jvHucav_chu1!Kl4dJ3NjC72Hf^k_;oCc=xAZ0jT5AOMUbXpU*%` z$1m8ya6Tl~wh{}ub6*7bz}ie6L@*u*g|EBA5h+bx#Y)bZdnYM|T4)Y^=oN1CmVh=} z#mVHQ$?4#YF;AsTse6UmmYhx>1Qo%Wn>%@{Z?Jpt%6WoLJiOLkQrpb&XJO^wHS*;8 zx4+sO)oE7u4Jy4+oNiVF5puU1ebsHPSR1y}T;bzc6E@~whsCL_hCF|p(d9im!qn5- zQPN{;d;?m=>+QfHT2+O&{5&1IFLU5AMg}3Nk z@sS^)ivmPut$5z0=sz7^Rbhp7=vFH6?lEPNvs!^GIMKUQ`F!ku+R^^kLfJG7gehY{ zk#OVX_o_7Ms5oECwnHR+*A@FcgXn!&sll|U5QhAu9K+np)_3bqCJE-XIWfe+`;2Nrd)e7qO~QnSf{t`;^=$w%!z#8Km5AR=xa7JyugP zM55?%?1;h-_!^;L&_oG*PQu zG*C>EvVDw#aE37<60KKk88$)fllGL%d|1HGU_gn5V&nc41R%xchQ2oiMe*+p{nz05 zmg9UrWQy7n(Ao}fhUigGUXzO*+!<;Lx>N7Vwf7ufOEfH2f1<{k?peK74Mz2JYDpSN zU>k=SsNyB+*UqQLhOCGF2~aN;($O&HWn~u4J+CsMmK07`MNOwwsOPH8`{Jgi&2^aa zsLV1>daj3Jo6JkvU72lO|78=e2^#Wu&(^Yq;$X9E594>w?+qT%{?KB)n134-BGD+#OuI) z?#bH!PybrMg{)jmC(k)vDx4DL6byn|fd*SWpJ`b=4dxDx6isw+>=((5y-D>bs-JP^tWrVFii2ggt@iF`2uy_6!yi?6 zg4K1&g%u7J??i%lM^#3{asl0CP-~y2)N7i*KN7qxaXv`Let#4zdNPQ>Oy%gwa$vIx zAN2uS-ddW`eoj3Uebs{7)c5C)Z#{Z8HkHV8!>Q~DJ>uAJ5fQ~GxQ1J>SZ%s+ncPMg z;ht{-d~FtfR^&i?@=0B~^AHoN#fFLt!uUS0%+vG}4V_-yI>t@A4;LXTdg9%3h<-PK zy^dm0uh*G7!FvnGt4cVoimX+SPtps5WW67$(Ny-r7TC12!ⅅ7=Q(~=9g@vKGcBO z{P<(`X5?r^tyetq>jL0z{-=ufe|`WZm48!c%*&fKW$i=2bA~V0?^BJ>v5`JvvrjE; zky2g|^KukY3<&8PB-&x|I=oj5H_T<6rt(c~nyMj%8y;X@X&Ouw*UD-dgR!{f{^77v z@fNQY@>9lX;>4cKm+YtdxYoL_N=A$N<=rkeV_vkqueE2gvA zrJa5#n1(h~=zpF2Q9^)+gItYn2MaDg;zh-T5j!_!+ND#+3Af`2A5c>8L_qlXeE>G?m%+QUAjQ1MiLiBW)yE2tF9JNYPh!2K+K0g;%s#Km%?tIU{ zk|)@LIS&Tb23^7Huu#hZj8Uw`%XYz&UVT#rnd_>I!ec2^oBx67wk@l_Mk50wrJln$b zP^m$$q3$eG`VQh9uDRkxfJiWGP&a&&v9_+QDt|&8#q?HKf2P<}gDqqPSfK5I^($S+ zI7teOw&%e#Q&`h5oA?555X%UTlXOCn=7uh8zLj|n+p4UjY45@ zK_Z=+)|-B=09Ha$@E)2 zBuAVXab_#`>oV-K?ou^7YkSC-6`Fso>GHP!&Xe6EgOl|qAL#BOez?zw(`+*!u2+8# zf7_4bDHopl>|L$zGL>avc30n}Z9JRk_Yo`UDiDOXtH$n^|Z%JM0$sZ5stAHKT61g<+ENwRKT6RD5F+ekYS&Ym)g9FS^h^!jYXRwY9sV;O1GCqm$gGh00nS2koba0H_# zKH|Mcpt(v7!oOc8IGfDpoxEfV;X-xnd)j+{NCC=^KmFuawnl$)HSi@HZeul!<%n$C z0^uchFhw9^bT>N6f~{Xe$2jJ$GewD@;D1AUF%89C^nK8x5EH_V^tUMQ{8oYM*PL#y zT$wrw(UwI+4U2lQ3F`dTX~ILXv(NBq&osYebRA~ZVf|qIMCYIwZKE8T%fyjrfnJmW^2iqomxWp8X_%r{H06;u{7wFsgAsY_ziG=9PeQntee5p2g`0jMH!l-A7) z(NT-|TJzGIEr$bFe*_08UH`y(AsA^_kYcya#J*PopV?hdDAORWlqZJhgBJ{nLCD0xAPks4cZsZ|5HIw;|63jL+h?Akk~$<;{a2}NMlFg!hS{WLx9 zTcJ|l@7tAVy**fUX9+LLx9H_PJbW{_T_L;k$!pAZtsl-PKCvzE&&ZCY8a3v=p%!G< zp}YA;KXs07+-XvDP54-MJX_`)Clt3d{-1ik`{$CtexRE(omR_XY^CRf##u|JCq5GH zZ3(KqowI02Yu_A-J-65y?du70R0BAyXuV?j9VR4e>+{}Nsv$d1e<18aR5D=q=M?S z8`7)wRxyB*fhi{4xkP>^j3idSL1V6=n?QKHPdVR?go*G;$~fe@m&(;s-D3IC0lB7> zD0;STSE|AMxM`y)@JW4r4I}vLkd|TJNv;(5Jyt-|*pZXO@bFL{)|a&gbY--TP12=s zn?)(v@Kp@5Nz&1zC`_W@jqHMNgVMqt@9PcivAda+-C9?>SBhA5N`ufJ=j_nVAV2hu zm9H6RHb!?Pb8VO0X>X{YWxDcf@WcNCdZD|U9=W1Q9j8GqAusb2MIJ9mj1^1i2h$0q zk~MYwaDyhSFWCnMMZ~b51CO`9IQP+SEJB4N>zW)5{!9igYW#~R7IagQ(d>O!tU zd)%e$?)aM`$5E_StghP}TMDo=esG>UA$BIKJx<4sE>Fddu_WOpHeY{Ex0CXK%ImK} z9S9Spl};IGlHf2KYRoa{h_nr^qxb376LY-T!pc? zC66L0V~vsPDyXj2IDP#wN)JW8Z_GeT{{n?6M8Wt&Q? z5`*p5i=12oEaDfgTZA1hRz|H@t}I>XV8=fWtlF+b9dkSz*Q>iLmtKhIfk{(33Ah<5 zuCgO(^%9LYKS4o*#0Y2W4VSbVRGzTV!2@2%_WIK6QsD`Ndt5P!QKdgD>gmG79QP|0 zo42uT9*3E!MceHpx52k1~$^8e>mf@OYE8O=k&PO+f z0(m$cgB@SoutwT1cYwpsE!6XoC(vnkPQjgtDP6!h&ae4sgG%4|h7@e9tL3`xNZLGJ zDfNXwLvIuvb(ff~p6k2*M@g#@B}5nw|Lyo6Zn=A|X0oz#iYNLB)xPe~y$5<;Duki(Pv$KZP7hiHS2|~81<}f3&A~Da&5O;E3w?qSFV@N zp}L$MKML0?$_PbS%8Qlh2q3jJ?<(GlAx)Fy42;n=V*g4=d#=AquiE)0k#K`R^g4*| zNNL?>D%zWMlBk?B;|aeR5omLMg0zE6JjctS(d8V(x6gG!>K%Kdw(45dPH)#D!XD@2 zc2$lYc&92%Sv2ileG+YY9JAd$(q9+hE{K@!EYsbM+k*$^%YVVOXk!*O`l{h`Zp!V) zF-E9`h1!0r6{=4UEwV@R9!=HjzAOKk#bJVeL5H*aev}30+QltZjaKm~9@QF$PB*Zl zrn-|vc=$sx7N)!Ma42^vC~?Gc)+W41rjWUWY7?*YK?)r4#y?K19lSsAeC= zS0=~8<}5%3uX6RV8|SsoW=${k_OR-x$~zmZ!OCJrqWo1D)W86T`g<{|^Ro72ebeI_ zJjr6leXp9&lr$?Y1INCg2eP+qwtV6M`sL_RQfHKIE|lgcQVU4nN$5X+hWW}8JwygH zlwHtc9Tazr-6H9th@ub2PwtX+vWenQZ0=aTqvyxYtCF$1j&?c-{S{MU7AE9(B)7X3 zXUgwTi`a3ww-8gWSx9-=xcoz5nYiUDo=v^bF=ClD6nIj~);ag8#Trw5Pufh$TW<|~e+c7&Z!_U5@6`da0n z!%D(ZOCCbl{SZsJp5-~#;}uUJNxzgQ@LNousKJTu#zf$!7;H!En)$`$<5IHTGvjjz zY%QfrXjIU)JuN+#D{z=+@7h2-17X8YH(Y2pevSJRUhc^qGgX)W3^Aa8h8SXJ32_78 zIL{_%kv-OxK#*H^zO)V&>^`IN>`+cO5q8Os_@Qqcu*Y=jbu@^TMF`(`8~qNBfwO@Q zsS-t^fi4WfI!uRF72DpL&nib_ec5;j!i$YQ)kR%hDvem17-6fYw8y#PW2y*L)GH4A z#{*g(+wR{R1xsO#MQ45c8cHwRRs17Ka~SdK-p`f*B`zYL&Sp)qTQ+fn_*Dz7+EQdz zdcv&t>7Jb8bLF+iRVy&N@cMWI@K?p^3T=NT#`%I^%IB`go%_7gwWt#V)Cu#O9zC`p zF1nZnhaZ2cKyLB88mC7N$gOa(>*)&Upa<(^SQ}zd3y4C<>WtJICDvd53a7NoJS=~y z{DFcne{;l1G?vwcx4dvEhD^UgPAcv%vAu(*BOBO#WLUKIxA59<-BRj2?_tifBlf4jhqjgbSKkZJ8)z?mz^2%JuZgD7=dTpvgdn0bV8C!o z^mwrOnfD1}R3yem8RyPMJ7T1}aT93ZR}uu8V4n+e0dd~6bH4Z*5X^-3Lj9IDyL#2Q zO~vP4-gM!kzP2Ne+}`2%@1dNBwIP8^Nj|Gqzj~CnH(4F_)^sqg-w$^-)HCb<={|YZ`$RdTL$7VKjjv5uB6TELO7G~8tK~Kg zg9A%ZNTV<*g7^+Na=K&LIE`YGkV_M1PY%&mGo$XI;Z~fE`jA|fQdyngW4K4naRd)i ziJCwmWW|t0BCC~J^94}&XM5xNrHm97Yh6JfD>E~Ry!=&9g2*>8h&TKTnE#e>0nEZm z^q<)@n%zK4|6*X{--)}jkM6Qu_m9u-+%yD;4Mqy|38^rQC3{6%ieo>Cv{+b-`pOsy zCO{h}bf<}jS(WnDP+o{}kRBJL6W|B3)td260#IS~sxRiVcj;{NS%gC!WFD za7h>43C>$IuEWh!DhG~9oVn;{$Ux5Y<)zPvsYvu+IG-~Sv}E}I$a*`kNdh;-?rz21%a zOQP=a{`%u9C*T;rm;5Kk)$BKaad&t3N@v?cjnMa~6>t87Sn_fnTA+}`bbW*7Fg%j)B!%+?_Itxj3ty7>0y zVJ=x;TM)vCuj+5V^)}%3vcNDFgteRxFL-6$et9o)ru5CfhIo@tGjMuAp3FO_$I%CeNEDVd~D>>WD4w}?FgrTsQWtR3Mm$i{mCdl(g$h{Pfo0% zJ$b+qiX-m{Sl^Av3dy0c&E`h=d5r2yoQKsvJ$9rl#@ za@+clAmSO!1EBq{8f$UfHMV)XOnN{;O>0_WuBI7y%uk~5S3$I3U68PmyD))IkBR$x zVuqymfj*ab-zB%W1MH=XQ8a`<2%zNuxQY9;iVL5=ayMOv9)9@0R*e2if_aB|{ZtLh z+;5bPvOB<+!Zp;c>}*77ySLR4!Jm&R4(Cw!_IBZa z29AjcGHQD3a2PA4{LZGO-ErlVBWK> zg!Uu|ob(xK2K7Bo!12;~P}`o;h7knQplH%ihFdH>cBK9e!cEGYKYY}G+p^E+t(;F} zL^x9AcWnxaQZFnTiV~!*>W;ObpKIAXOo^hsq-%Nk-ol*?$q%%>s=!vsRcrQXA0`9$Q=e-rj>blh@oWON_ z-cQI^zuMy-!&t5)Rs!)ZKO@y@Ps_0YC5ykPHIraN!@~Mpm(Oul(@+B~ALCmN^li?E zn8i__u5dkowAB1eD=`{cnf}q<9{A;G-Z+gWhbb&%#HXXy`=g{DQ?YNqAL{)8$eer#;aBwJ<5Jt|AEC-LL@m=aXsk~%&FRYm$XdK{Md0dQCeG=U6o z1T?l8-c4K#fs8tg^Y~t-Lbwp2j5^Xx5h4cf><)>Rrb`VLf2=q%yVc&>n~Fk>JU?R{D0icW8D%b zo_$3da`mo=bDy@ZP+simH_{VN>(gcV#}X)ax*PAiv-mdkWuV-w|HP`orl3tZkW(YE zTi0~`wd3>CBdW)(u#nKkgY)bb;1J*OX&V`d+}+*57v@eFuVQ2n2k>MgXAs?{ak`>| z9M`(w5|fftt%f~5L0k%G-(MY$FE49~=-SxGN~QU=VWIJ7@WPJfk}S~#_*+~vBud=K z^M{AwnZXV!5Xk~dnM9EI464O;o&IIQDXTXWthJ}wL`EvJ;_qH#B59gP+danibo=ff zCu#%(U;WO#k)KgYWa@VsrG%YPYB5u`DD-l@+s)Sp$~R~6j{Q2fXm!3Ght7IcEW@fj z4262VgH68OH4AN?^RoKJv28$;3w-bhr*U_?K>DUb{8^N#%qT2r*=6RIT}gUo zW+jn(jboSi=5_32(udkN{29xzZfDWyF*I(g2*6G`z+`_S{mE{%4jXt=LS8^}`Ei1~ z1uyZ%+t}=v)={$_Ob43&#gn?r9@A%aCRxNZ_p3RMKmq~SRH>Rt&rf%FzDul?o9YKiKcVy_Za3D$6 z^IW-g!|T)AyKb4&($qA7hCudu1&R0SH7w7ozkVHnv_e*e7PJ1(Z~oUse|{BVc#Y*} z9EWJ``|tPo_ba`;^dVSasovzW{Kq%{@vk|FuMj)FhzHj4{yn7s-#`7N2L=%5EsOPU zBK()@$0ahNviXxRMHcX6Od&?NpPN;iovh2|?PoNUN^7Q78%(9}keR)KCHSHsG?J|% zO3!#WWG|ja)SoydT5|@uhO@pZQSy(qXs#6=`pLOz zI!Fehs+V)q0lG+QcqP)0xk~@{yQf9f4*E)nPJsU}y8ADJz7<@XV&(q|p8s~SHgM_acYl%p_T9gZev$;x=Ovkv3)KHP zfY*e;r9zYfeE%m%GPvL<<n3M&?+WlIMw8JOav_u}TO)|ZH zaN}-X^5lMb+Ywv$x!P=wDB6su$K+Sx!qU2Bw&%FhhtnQhCC5eUz*9|`4TEI!JSpzS zi;RV?nMfW~mrwD-ps{$2;3A9SqTEHHFpS(`*6oxcWsAx_;=NV1#)`95_qBwOD_ARdq+*jifs>PAwQPdp6-eNn@M5Vi(1toF0yZm;a2veytNX!Za>QLj5Bn-fwi!;izGGRt4--<0Ou_2MZXZu4;XV9`J%pCwpp@ZSv>8C zpMW1=X;0CrQSFG4pmWE2dZYjtf}$YVO9rbDp&lYqfqJgPc)J{ zAP+P}-E@$J!Dym)Fl}D9gnkQEG)Y)x2iJ!pB8z0cF9CKJmGYS@XN7B!Oyf}Dyg#T? zXjijrxm=vn`{h47y}x$WP=@{b7Snl5@MB@TrVE*p@l2UUn9T^$cPG?8Z>7s33JW3; z?=Q5|z8Mq7ZK%rIh=_%>)=L4p4vw4|pXXix zHgyr!yon|vW`RZ`C0}W_)8UV>)NRpvyR{d}FnltEsNU@Kqw##09U<-=HiuIM+sV&2 z?x`{5<#!jm>ui&od4sh(vp=$FG_1P-h?TS1@5y5g*}sDWOL48)N&U#Mlwqaqo9feA%EQchtS;25Gmrk(vNfOKx48VC(I{6Xew)^gH; zVBsQqJ;*R}V}R06-|P$h&Sv6^=`BHEXUQOPdPLcGWvocZZQ&^;Jl$DkTTC2D~% zf+MSomy|aRs;udVt)?9s^QK?{=!%09=#t`THN7xU=ne5*)1Kh{^am4kZ_4mxkRZWW z6fbT{le3o@!Cgew0*Hg7k@MAbqMX%_iz#|qCWNJTB}5c2Sdo5YxP*7Dut^UL%Ktbs z%f1ThU5y;+4#m0s8?a~e#;(lfSBn-+hl_awq2wb!WR11VX3U$K#qI@LjUd4>$%CPn z9Xf&7=zCZ(c7P+Vk5}&-7`JSDWO6)Ab$hzqUM>XdUt1w=S>@b;fXA0Ih+Yv*@ku$a zSK=|NXsTfOXxu%tVvs7+Z3jw?*tHM>8$?Aw>D^JOA@K zDMQ?_94RC!@n4unMVIs~@+Wu@*!kxuAOkS3OwT(Y z+3^SX%MANFj%M^MiMjsj0m(Ss zxZGd*a3HuBD&u<8V2CHN;DW7;!d!wDNh65Fx`BKNgqp2>^q${C%qt}x&-W|aYi4O( zFK*qqY9s~<(8OPE-8kxNOC2E@;MS*`3(rT$*x`%TX z$k%X1(7uDaZuZ;Uz=71o!+Y}tbf^u)HUoibYuHzc2}ndOmL9h~FSGcP$K!2uy&xCC zn5~Wy6~M{>Rb2`On_U6hZcg-MI}EP+bP238-BAnH$G5UV*1e7xYj~7-(ZlT7%x6KM`!ynHo=q_z$%X?V+Fzqz(jeOeVHI zMW50ekAsLF%_s80R1H(@<@cvc5zcI)u)G1J)eeK^;x|AEk4Y2MbwF}#cqw~|kkjfn z577V^1`5!$JkseY3UbeHAP}q#gAOJO<=j5(g4ai%S^7giK=||H;s5QN@T0!en?%Q8 zUTOQv)%`>yDGaPlPmVqi$J4fm0Yy3h634yQSt9z0BVQz&E=;EXlUF$y`Px)Wd%oJZ z;ckQCBvw(C%n{pxV7F@ypZDpz0_s1k^iBXcA)}JGuIadyeWni)o2|g%aDKCFQ?EaU z%mkQvS*VAgQ^h>+w(MkuOadU;R|~KE))T&$;frWvXfT`P|8?{ebwBZ6Zb_EO3iS>) zN5f)9-B!}#s+zI}FsTY{werrrwKR8#Gv-|&=ORZ@-dy?E@s8*ZKQT69`-E^7^&l28XQ?oq4YYG}DXYT5%} zFmkDCp!h!UA(t1OM)QE}Rl3KWak{O{Ss!XkXTUq#c$Oj0Pn6Wr`!{eP;9c7j_qBG> z6yBBM57}Tcn#8yO2`1YUU_n-9s@iyBv1YfcRx^1Ik6IIAlLclo#1Zok-;}^~&wUG< z6UGDn_Upxj#FI<*YB*KEfNU)$nf>k?6r3fOO>}^KDj0H?#b3u<;|u^z3dI|8ZUCBu zDyE)~F?L@5n9L}P4#@|*@%)aS%M*p3t^bd4)O0VuZ~k_b$l>5U8?VHx6_yID^V`tNK!J6n$M*i zZVIP6qd^mbZygyW0fgAJwhARXuJu-BX7> z>*JGw>;~@SXTy|L5C4R8WrMexHhn~UE!WGo*(B0wB|@Q}GQ+u_ZXWbfX1@O|Q&^Wm z{8WyD#ThUE(*duFs=UV=ali^SinxvplXws*+|m+RQ;UMiEezfpB2u;`l%41f4<9S2Yk>54`t7Zf4ejcU(HtGly9A zA3Gy;$2Z@E9H(ZsUQBgb3p%pN(4>*(yp*5H7DhU*{7vd=Yk$0~QDeTK*oT_)QPU}N zgq8HO9_~nSS)-VF^_Wn@0}{uH*WJVU2rvzv4F6lELy)2;W3GY)kTQ}+tUX9>1jy!A zS*MiQzP+->;sBTTpP^MrC*kn?l*a4(@y8Z!jZx5G{t*xm3-ikd{|btt>3UTYS=IeO zpkQZ<*^K*#d4|w2z?w(pU{OFOF`C9v7_N5sH=N6oERP3)hrfgr$$KlW=#`y%oAgR>#Ze>G4upaD~It4m-~M1H$| zIm~`s0EACwS|sK*{J&fYYJ?qzP@!?m!oghC6ar0iB-&4}*Khili)Vpztufj~HBkRV z{3`0zi9+bVWn*;OEI{%40tCAXA+bmw6YyW|11f9K3~ihg2>63Va$6XG<_&pN6@z%y zf?%5xWFuf+SC-= z)Sda7;wJ7)rJbA8^%l8sMo^?8=NEj^Tn3fBkV4OQjMQN^u0T{-iulNpcu+kdwOn}l zjjW|s6CWxs_#c2P^bz`orycZ{gQ)UL&=o@#DF&RJIBeOlMZN-(WP&&+vtc1k-V@_w z{TDzt6`3aA4)3vF*jyeJJ-2AFC1tFu&FTt_hJnk zI3G?r_W*t=zg(hvn{D&!gHi!Nmb*K2fl-dcvRkipEwYl-5Jn1dzTJ0E7}hJL(Rnlz zxgIC2dzoO6K&U9H#0iBn`0d)KT*^9}L9V@oDv7lBR9;^0e}$?ME_1OjC?eT_43glY zJ z0MBYu$8NV1$sS?z2e^W}2*wm7k;DyssOd9Wo-G(mW(iG;`4>g*_g5x2C#x@6pIFCA zf#H`JCi?(bOM|VHi7=j|i?URCrya4WJ6V3)JABFc4PxAPfVXgEy>P#~=u7RfN6nkD zo)T@?#Y6tXlG%*L;9+Np{$h~_;Jj))2;&#O9T~I7%>~>K@$ipGxhYRfeqW4Vq80yW z#{Q-mFL18UrLFTT#<_bJ6}^2~j{mS_D+2y9ETKJCs;} zq=dwh4pBlH6bb2fF86kyC&n4){r>zvxOFpJ%lpbX=P%}+*jGJao8dbQcR>_8V%-Xr zBVRXVT>q#$-Bm*bLw?1aS~ynA)Sek?5!U-Iy=R69)6X?dGxd(&otNDv;$yjE{~6Z} zBTD=Ll7ACK+(*;3GW7W9d;3P;CGyxf+Rh)-XwNJTC#D`W)5LgnmpIRN799Ix3yhlu#(3T(A`G~(!_Ad0{~Gb* zZmxNJ3R7J;1uqkJv%^?v-A@;lIn#3)KkSU&blty?ls1ZaTZTC*XBrKcxj{X>L^;#o@xX0V-cXl4p)?M5aF+%6Mr*vgTQfb3M|H4!$I0gOe@}bjKA=%LXV(DI4-M5tg zzk@@gHTM;Grv7Vij*1dAC90w5!DSKRmyrE4I7L!q*T@0?#n+c`#;*@nS}S@qS0kE! zwQ_3M;JB}iDt8+o56oMGa949;ReClgSgNoIMb^uYZ`A#S6F4x_yOEn{qOtwpIgR^= znO=$CrQG&ZkEajjT#TWR*W=B)rNZu5=7#jx=RYCeotp7br1oAsc7WafUi=l$+F+`+ zi1(f&C+d4s(C1sId@0Q};=%NylM9Imgx+#$nlNeGxn;$5j7$u& z#Oa=)HlO3|nq^H@vG~v!#@Ou5NXq9B%-ZE&V_La4?%%2CFlW*TVarGZC2d~8lvN0^gn67~xBcEBzImW7oS2zuFtn`P#tE!@$F3gws;7d!u zYLaC{x3O!?rSnr>dJ5P`lg=#O+M~Iec*{o2xhTUrujO5(1f!-ePw^TR-3G+=Stg!y z+rN-5%dQRB*~2x0%W)N|&qsJymdu(;F-LSt|IC@{?>VdOQmC6ZN%~#Q=_fcOOwvA| zR#>^VXO?g)hyQ*}$@APtgKOH<10Vm7fAf;}AjA71nRDKQGK>b)1g-ZP?;1;Ee0rno zYO5MfBf?)j`bIgm(7f##8d%1B6MERyWix|fnOekhkE7DT9ZxW16>9`2$5_soFP&Qm zhn&l3xt}0zqAK^P;Fkfx`AaqP5h4i+JtvgJVdvI=2hDAcLiQajxc#eC6v8Og{++qwWnR$Hat58WEek4%7so}pKes> zzg4R=Hfda7onbIDbjsZ!f^iJo%y^wEj|befDQ57VX=zW^G$f1|-ksg(UY6)Bdb@1rk%M(gRIAh~B9n@a>LyD}YP zH*GZZIs)sKQvDwN{6)B!Y|i@^loYV<&n4!1GApO#G@Twgj1=qhdPEMWqzg|JKdrR5 z5!JpWXCxdeV`_0(Igqv9WZ_DpiNMu6_cCe1(O^?mz{}@OV?uu_SKX!8s>=JTcbr83 z%9YJ!v%mWXy?>b*Tku2@`GJ!Q$@Qe;&J6M2P}Rl9)IsX^qObg+`~G`YhJv|;B%6Yq z{^Rrii=+E5w(#$dOI`+gFMIGh=l@JG@u-}`Ht)o``}2Qhu84wx31q3hi}ydWK>=Z; zEmBF&=TScY{c!$pYBJZJ1ae>GME%dq5&b;SVKzojKm_yW!~f^N|D73ioG2)n`9j&W_ZPes-xs$3#ymVm=?P z`d=|Sn=^*M>`ar-MqRI+_4D3sBb2!Os7^gwcJ;IOmNw)~h!=zn8d# zd=9e@&Pqxh5&Eo3f{en}zB7zs^sZ7W|3?G;+>0^Ti$mFRM=@?Is1EY6!Rs=mO!}8- zMfH%!+r0{DjEh0Qff+%ZtEIPVaNoFCT9+U8WO>WjV^rzD9#@pEoSDwB~9SWo1 zmHn8^+vUS+;RwNThL8$~N$Qb$x3w2_^YSL8e(jnfxqnXfpc;-D;b>k?1@d$t`~0LYdIr0&3BbbdS#yEnewOn@xad*#qLN^_-Pc-_Kq{>i(_$vlidK4;T~gg&|OXO7MV)Zcg_mPAmo-Izfj^thyj zcIWQHAT;qWrPo}UYy10hAc}5b%}cXz8@<=QO7&eY#?C7JE;Rdc^6)?d6 zeOcZlibCQ76tZ(w;mrpP%nJn6`M?tsF!r_+q2$4mEUxx;+C}ktxU>YxdzIXOFRe@| z;ucyZm1)r}=B}pclnU%##yi3|R-xy-iEI>2s$t&lo(}-JS3|pU%n0ak%|WjewU;d~ zh#97n9V`17v)nOZ=e_+9-|ZI-wR-_#HpQWIC6wWI0Tf(1HTENg=Yj>Tf=|ktPYb_& zOwF^B&p@X%u=&YyesY!8eWP>(Ub=`$IpwiBpODULIzGFr@qcD_@C$l5-+rjTj*Wi6 zIB+x`IAj$pb~T*5;2Ny-7kWpQm^T?jPoD5$potAM+FP^D!eWfsZqD=gyV>sP(bm{B zZVVU6%7gH$L1-!5AyrDul|48vfPldpM;kWli-f-hkq&2^9oxFi`tBc~RMG_1yWi|n zIlar;q9y*XX}U%PQjQ0#mVm@H{qK)a-hNLy`qoL%IZPfoNt>NxC{z{rgH?q4(nWMn z02-*cC4H$pXO9nWbueE&dl-lZsz*~^K53U^oN5NMZmkr#o!8bkOWQ7~wCh~IKUuAQ zw(ozI2N;-5qXf{ymOgq`l)DTLF1Yi(Vt-=YYNTY!tBi8&`H?cg48;oU`FLZY+%DEx zm(|FW3*OvpH&N2`Q>$nz6T{q%iLcE>iGA&;-`=-m$D@zzLCoN*{aq6wK| z9V6$CyV|{|YiQ6A*!Z_`#pZ~UD}kB`!PED$!-pX^D?a`HTq1v?c8W`*u9h?d_*;7@ z3tf-w8`cFWUhsaeopN$LXab1Deto=RlO!fx*i8faLD7u>8D8YIv;5V41(s14(fIwg z)PBADMj_k|eNP2H1>^hr0yaKVt8jqopQC>UItQBg&@09bFd)}47xcZ_Z|u#CYQ84@ z>|J7|?JJH{ed-9IZ&w*j)e{_Kch!t+!Es{HrN2)VLeh+QpJ=HDUne%SEv z1McSzS|uWJZRyNW%$;67jNkduRh;GAU(_e5>qmK}5mXwww0ywk*rwjE{V`%$I2HPd zKzJ#H`4vvFmj8Ww4pkBIzkYI+G;78a!epVFN)RwQyZ-stJN^uYfpHQTfiJ0aD7 z9smG02oFbZsGY*q zt__*RnW0e34JVy}CV|@~M6;>$B7QW8>u%NR58UO?;g{=9+5}3yA`Q-3Pnvw!8+nOs zs^klG3vZvh{@J=HRj7C#;E_vYSQ1|0X{F^@_`0Gvc!an9{_$r|Gs45OCiqV>(O>5y zpKPlL{=NexuLT%f4VrTtu6h)P_=EqTl`D9 zTlbL>f|t%4QY)OKU#rO; z(KJD|yERuXWW7>fS=KKTKUmeTgSyo9_AVTmdJ8|VGcn61!9|B+ZhD@(gs%m0c9m>Q zo5cvcLewok+I=D{i?)jn9ixr-vp0Z)joPsI8K^!rph~O1E)^Mc_CoAkd&qOK7h=nF zG>Vqx*c;8E1`3J1I60w^@ILAe9EB^7^|~5f;6vEdgg&@i$S^{Y(uz(>SqpXi)@TMf zoe=`N`Ev8Nu=~+>k;A#4-Z{^|Tm>*WnAd6gT}x&5XKsohV0QDWAdXQ@y&W}h5b~P6 zV9KXX6XeVjrElofENFSuwvz`4W|OEnAnj`ooYXIiQ zIbr=7TesxgGp4H_^1_}bNHb5xZHJ_}v#EE>VleD$^~!TIg;*nn7vWQX2AmTH#hoXA z(#nC}Tsd|;DSse$|B}Y~``gBxCPKL04{83qgQivCkUe4W&iN7j~0YzU0n}jxCXf>;YS%HU(iKfGVosU4R z8}GjU3$?Z=KjPd)lb2xZu0Jb=jLU6682$)HD+6gB4N5s3?H1oahXdA$z?%{uXs-f> zljH@IahyBPx7kYf&-v;M9%o(n{Ns|GdgYm!Mk_x%$W4n+0c|92mqWgY4Opkpn|3Pm zt+Yi??DA$Vi(?J%czpKs8PM#FR*aF(%SFpQ7uk!yjFzOA*NF-Iq?(^ee0Tiw_*QPe z^>IiL_U$&sZwV4J_MFbiP~UXC=ke!BO|@pSp#92GE)cZ1$nS-+`lz@u}Fm zAi}*b8e;Oj4f(m8bC)o1Nj}tF6be9pAOHhH$~0^>!*RYZCG)X<{in-^`&(P=at|;! z!e~TB*5ROM_xj=9hGCS6P1)}1 zNbdopBaJue=4U)+jiW~AtH(^dgJx0|XGie7@dsHn9!kf{JVlD7GV0-b zEb^;sqXgzlKL;cb`8++BS_LT@0SJq5AOAJU$%6zv!No}q@+zB;E{Ws`x>> z-sWJIwC|!9FjzJ%gPd23syUsozk;gAV&QVml2rekuBk5{U2enln-J?5VcO>~2oh{zO{}|MJrQcRHfI^!w*n_6#+{O#8k9R1S}OK}A>zAr;!T}K^89rVySc)|=H10e!=|Q-4n#vuzTSLRABc8` zHC0)W(MVJkt2Tt%!os@IL-k0P0)=x{|6U}nnD)EJL1KFOl;eTHqCLpM_@;!ZS96cX z13P4%mQ`TmO$@IZYnhiANoBfYCKMQJ4`V{1k|~Z8cJ=1%5)e*Ud&s8oEn$%1?qV;xnix9;Mxw5+)CWxzDUPed1;2sVGx>Bc37(oRTJQY# zf!OR~>;p;rp@=5#&a*YsGYtfCC+5d1nbk$P@O|;qUzXZjs+Q-iWq~w`Uj-?U7O!nT z$A_ENJ(qKBH47X{>)z0duU}WWFxNQbeetjmu}B?vY3@52gFJ$8t=CjVCg#vU*laK0Ey)u2eBym>24+qs~8mh-+k$sh&CWh50X@VbIu3dtQsYUImZggzfS=Zou z@L4psd0Bh={FCmloXsL&2-1c;+pvR=xr9zXMzJHR8|NRSOY%A#Dmtz4!0|wNi7j28 zUlnjme>&wVBtbF}Viq!j_S)d-0$fRy)B%1chXwJvCKCqDi+A?Wkw-Ryy5L)1GHKnk zz3tvzbn^3Vjav{>xt>DPCW2$QZm0d{ltf@v(Q2sT9TXncL7>f#7o^oO+(1k!RNm?T zlqHSrwvwAz2)!aE6Fq?BTrF=S_}PJdr@g!7RzvmUd)_T%N|3W%Db_Cen-0odCQ8kRuR`PP1{G#w$Xa&X92 z#BP$ZCD-TdWWO|G4XNhp>~dYjGMST|4u2Y0d^CW;@{Z0u`pU_N7^Bw5E`)#1 z;trIn!$%}$gb5`{&f2K zSf(Rchi*ffeVoGL+HF!-CnNU4&Z;LkV@Z$!OWVuloorVUc$Yr1wQUH`S7(D$@PJ&;hbhHBW>_>gNCa!x;g zavuZ41`)`bDHQ}sNpzE&{s*(bJB%Kf$DVc zZF3#(OIokxYiQOZU)RL*4wg{X%cHhEcw> zWs&_z$B5)eb^W9)P@pU@GyL{a9>|(x0dT*J%HRx4*6>?bo29zO6<(OOuUPg9)?YUYI`?%vGm_mrJQ_JvhE~)3t^|Q z`FIhr`jWjg|J^S^ibt!%-7}ghJFF6DncqQT=TG!ief7ahrK+ZsNvbQ%^LIK;ez?@n zor_I&84&#$hVUL-my*Al=i`eX!g_n}bsX|4RK4bD-5iL&tlTR&7#%O#4M%!Kg@*9` z>(3d+4!9*Q;b~QYEk>eXPRL~*ZR2aqR}<*w0q7$>Y1dyF9BR_a-r~0}N6A7$a*nv`X&7kgq{m|vYkq4T| z=^`FFAbf1t8U@_U$GLL-9=K3^ewfHiZ||-abT|)YN-6mLr6fgtHm7$2$fwWSPx*Aa zH^}K8UjJjZ0pX&7s6;#-t~Ynu<-JS|`1Lw{!DZ27i!{|EU-{2O5EMa z9U)+{oCH*1CUG=$PzA#ltxH(^6mbV3zxgXq;-ouK<*;ynzc;sAVo1?c*lRQap$e28 z&Bl#BRfD0rkZgC1cn-yZoSm8iJv8uOXes2(LuBH`lvQyb%1*bP;(@39E66?Sjb*+! ziKmXh-eIjQUU%}17p|5bAAbX|g^ClE^kp#w*O%F|)3+5(7RjqfzR;?}(s_{WSMppp zsCBekp91rh9?#q3CajY^T&fL@{rG5|le?)#K3`t^akkNqU_N~nQjSf7?LBz*O7c}a zTf^m%F-wvUlL{u3JoS-QnQ1{V~^pwYZin)6bY_WYNb! zXx8x+y74;ixLj-6nHv^9+4)3+tjz82a*AmKj~6oc@&WN9%-SLVO8a#T?=LPVXGDCi;^s~t!;TH)cJd{YqJ>Jevo_=} z!?cv^XMYijmP>w9-)W@JZi;I3q9C(Orws*@Td(hddfMAx!cGTQ#&lQfDIu9g3kd$I zd*P~&FgF|ws{UQ=oD0YMbHQo=K0^cwZutuA6BTvCEkqFSUMA9m7G_J9YtQTyadn9Z zhY1L^BzzAj5HG0Es|0?Bp8hTnY@B>>o7XFQ>-*Cr&JG6pRYW!xKGZCgbJKJPX;Hrx zR@rgM3UDi~>|yJNXuP!!*?d3$l;eE0!&rY(?VZpo{c?1^TGN;Jy+DE2DT<8MJQ`Iq0YeWMx-F7Yvg>#Odr|38i6h;pE*^;%%vav@(~vczMM6dav5v z`UJ0r_sc1ks)(mgW@JmH$Axvf9}438zu)pqX!H{`MrTDVjfb|#W6>RFk+ zU(Y?t{%jNE-=S5QCS9DfEidr}9IpnU_A?{T%Mif1dMx$PZkW){EM-CCT-g7%B?h-H z@rY%3JC6r`r3>pkF?uQXPRmr;uqeszA?WY4651gS>2HsGYsfd7oDPtz1a63_H)9f} z;xZ{ze{rQ-5Km;6f^4lk<&w?w1R^~Wk9X#_BV7;@T62QQ;3ca<%N0gm9oK^r@5}VV zHvEGTs)6RSQ*XJw_TB-*Rih@Ic{#HeCC6-qssr)D32XpRlnRx#VK|%%*g%5O?A`RD@C2Ir$EO;Kb zp+dFzCK~5rtYjIJV&QpDd->wGCt~;ZjpLGeDv0jBf)aSaS`rVANgPRjuoR22|M&OU z=}_^0{B_;LW`M^3_(vW2kL{5xyUtI5cNF?K`nykXdUvg zN08pnTXU`nx-8rsi@w4?bss|Yqi2M4n;)8jYNcxkZrcrjQR;r2E^FZ6nqu0eb~{%P z!wNxm@0=c7nV8cjIs@jIG;|jDq`>Y%mLmb(mAOIPvL-loLjEUfrhn0tLzr?$mtcrG zGVHIA8{5V$@(zf`7BR2Nr)_iQan@1?Y3PohCR{I?i()!qaWX`?usRX`3yJ5XqEWzH z`~jwRTBFsgJ4t4QI(w(BM_?A%xvS*?JlxN=zqz<@%z#sA+26Ny04DBoF8c@?oP!EE z&g8cGioTfw;$Vd~);_`g7Aumt;qY7PgK2-SjGMVM$@bxVqYuyA*2mRX#J;jQy>fSF z+X&MFUQqK>o~kZna6R!Qwn}UplEv@Vi>;JW0zPAFqA|L2W56Pm?Ib?Ma_%5^URy(J zeWCY4G1}-@U1eyOSBm1L8v#zhXgW^Il$moj=Sz;U1ZAO73<`S{xX#}pHS<=$yNnEl zw=EeMkZ88ME1?E*#{+8_4fIS<+nkQd8>MrnVnuttQqTus-j9<{5j#G#rHJ?o^SU~F*llHJe&*p6TkjATmv4V$+<+)d-!N9u9#Sl z$pQZj@(=3D!I-&!PYY1+ZzvpJCex=ctG)w?pa%Dt`+Kpi>-Q2e`-~X>fHr?@w~~jr zW`u7{WvhwcZj(&Gy`|zhe~;=?dYY19Y8FuZRgrwIb?u$={C~a2=yk>mH;FBVf}D z-Q=hPV@&Aeqfg2+VzmChzG9C#vm6AFlNnlK|x6ZgU~bhY#W?s?e@pC|${y%#s`LUie?W1wBAc^k}c+ zPM$~qk2hL3qH0rp_3w!Bh2bHj|3v_7DsRAx6AGQ@w@({;i{DrE3oH6U(039y&64@Q zmSz>bG$t~)elHChE)a`s9k;Xp$pGU?iJoV0kP8EH!RNVcwLiPF@+n>r)9|fRiLl3J zF~m{c8lc(OlEv=+S&)CX(INd4F+Dn$9CGwp*h|5#~ zeb7MZrJx7-=j;BvKWfRr7rPyQ_?wUZ@4xl;yu%8zIuGgn=Ue|X1OJ(U|IEODX5c?F z@c-}(=rNU)pn;!Zpe9EEB+WPy@Ypm0Au$y+8Svhp1z$y(L5+Rrlvy(09Pp+i@)Vcpgc6&v$ z?_b`dnRPPlNnpE2KzmXH%9^E9x8*^p`#`r9%0<%J10}8#PF2ONa_3<;I_dkb4B^&2 zjBsk27$*9N_gT`<3!y(>5mewh(`jJw%tvQI_W_e8OO%rR`$Ljqq)`$_z__QUfORzG zmR*d2U2gm^unI*`F}LE4dR-CqMfV(vq7UG#9lwn{*_*1UHUnRomK?Qn5G9Y*3j^QX z5zB(W+yCU+ySKrOU~)rV0-ZjMUyI5QdpOQ7D*<#WL|biY zKox0_d>KYD9MN(foBE3|!d`nGK+`g`sn9@MPAsLxb16OV71(zf@D9vm#D8&P)$K#0 zt7NAFsFE~yw`OM_mu1PJg@miHUb^tjr42rBS1i*2cvL}m9I^+VOA}snc*FAgyn^P+ z)n0?Q2g)B(+V4G(W+ciB9JFLB>RktYSg9{79g+yrq;=>Y)K|LRbKf&}piuNEUhy3_ z&7Rq{$Y&3=;nS2ef8s2 zpVGKv)yJ@XU`7Tqw))KyCzhZI4UR%W_b)J&X`@|!Xs%}!%wS>D*v_aPInl}>s%zeu zGEVVf71cY{(-n3{0@pZC@@UZgziJ*5dG%Qx41t`b@H5ieTb&x z)@Gda_3dB|7b(NG?+xf z^_vpo5k47q^6qG%HhT>yY32+Iq3cK~we=OFIw|q%XsmDgB&?lPU-c`%FgnkvU0xi* zx)!Y_goR24UMN6YW=qOjFKWl%`8G+M|0ryvH25oDya@mOGp3-oFB_n|;={BDhS?po z2bHT}TF?f{(vj~Y69V?}x%2DqF*C>B^(bU$-{D5x$P<43`?-ppx0Gz1Yxx?A^Ce`Vs zYk5M8n=zfw_kbZGmXFI5ReA9HzSWz&Zukwzg{&So0yLv;pJ?pvd?t>@jue^%i}L6d z9edZC?b8EWWtxPMuxX8$&BbmO?l-~H#C#)hbDTU>zFR*F$~T;GW;C0Ere7O)aW@iG zLSV3IP!G-Lq()S-gYI*8oqRW$mu9%<0oI<`LGdb|b*?3c9j$uTo08d}oFnBEqPr=Q z$}~YdhF0LvQLrIOpjrri0DWbQ^X6cZP51E3%6twg1W$j>BNahdCE0`ff!40(((X6v zLdFJ#wTrRNNuq2YmufT<@&&;sJCmE2;k&1g5Z>gdhap{v3;_$ZdL!KP&+o$|JvqCGjarBDi@oP$=K>W^3BuqJ0DaWzhO+6Q& z(4~i=?B-UBs?h)V;5LbGt_qZ}Nl(_vA45~sB@)4i`BHv*-U;i2e9xcX3MhDO^3hH; zcH+h#om2{_xQmsq`_OO-8r}Rrmy*DidIS$CirISF)TM4IHjd%^Fr=yvHg?;i>^N%B zV3TwJ?$hn%2zwyJPnVa!=s@}I>#||ofNGNb3ECiN0MaxG+i+&Fr`4<&h#3WHFR;={ z>+$S=hAMZ&E-(EJRQP)_cGg0505#WJ36sD%?Xn-X*iTgELT9*& zt=g+H+gb8;y|ITE@5%?Q6DOTn@a5~XmsH2Bv5?8FZ~5(uj1*`xGx{q+!zo3^D$M7E zbhPinisH~Z&H75qfqwedl^11j5!COFM0`~6C$*nZU4^I>$5w;=6<%_ik8T87sowqa zmc?Jt0b|&WKB4C^DA$Sr`7G7q*^~wiAXMr}7}wgTgJAmDefNs?l6h^YbzXMCy-?wF zu>iiDQnJRf3N;&KupfI!ALWk0=Sl<`k0!?bC(ENHsb0X)&5%c_x6t@}f4^#acBp$V zp);JSp|=-J;byJ8gHCT&fi0tk4@wr+oHe7YgUg_u&nM0~5+?fo{0JHmO2Z0JpuFS# zD@>s1g%7BUX2@gTT(=r%16+0B5j(GQrOKHs)%~2-y(x4v5)jK)O`jySQqRr3n}LP8 zooE^B%DPSD5URkg61p;H??z%-jA|M_8ZVB+J3u${D>kX+Trc% z0Tgw_A_3)$^j^EGWQr%|ZqGRFC>1R^$l0pyW8+g^UZr*fse%`XA*LywnfFWCrTED3 z0`3Z~t*Vv;9x4eUWj3dv6>lSWs)*+`d~23f8cYkY&aa8VgNr{5ErYV!6E5LZ5}LDm z-{O$ihe-YpkoUTpY5f3EYCBRcTy@$PB6ju85vA-Tw{N6Fn6?6cafv=m77t8T482;c z7!KOj8lxC$0t$tI-kx}jPt|ssj0cKBSXO6kXpMC4%Xx9Q`du*4K`>vseJ?O*-JgMw zi>E=MsdKyOg8{(daeY1s*5uGiOT8P*pbuN#V3m%nJ7lvwn>Aviex65-A6y* z&}#sZUfFB1bH_%%7uAB+=i5)!mL!HTU{Z>n_oR(sthClnF6VX}=dOXQH;C~oEldqD zK=w12Ap-TJys_=yHZ(R-Sbx7QxR_Ts?AME6IBP_0gI@LM6=#O^sSvQL&n# zcgC11E}XP>*g;;gPEYqswfUaQ&ZXwUsVvhc-&O|^Yw4Ra4I*&$7H98QJ=|&1(N0u7 z4|kw2&NM)pbrmMZQ?Hxp-)?(f7xM*s0}WENvTE)n`-M^FT^Po8KZNPkX-Fq^&V5Yb z>mA~KMS~p9M(esk4;mQZ_jT(Yw)%qC;=Ve__fDo@bI(-n=+;GiCLE2P9kEW(?;O8? z)XH}SjlN8w_uCnF-ULSK49{=LEtLe&D#p|hxwoba{ef1WD~QO(<*hOVg?zD%apF@h3&E$*YekeI~sHWE-}qz0I9PVO&f$|f%0E? zlGr{j{&Oh9m6GTR7?pcWzG=nAQu)(YVEZf_j0j z%;zM=6}g|s(Aq^5@;bNB>%*n< zI5~mm_P)gII{-VguD|~N%YF%3MRhQ6+kDGt+kXalOv|25Z;AEyKAiKS%9vWy;Rm3= zxsA_vkcEPz(XR7ke|9U)XS=%}v`?#$(-P|R%2oO{tS8xNIP)9Quh!_}gQ z&z79!5y#lYbFRqg3MjFXUQW?Bn}YSkC8vHdcnp2v+5*dKJtE?{z0k6)Dztc6ZlKg< z6!PVkTOGc%+-6UBq3uNFDq8VrR%hNk1&#?Or6e`AeejD@>d84zg_hmfGr@7Kz6>r{ zg8|3yFKbkX zv)9&~Bmuhio9Y+Ye8(_2ab4xAn26vQ-PEEd)|iE(qH%o0&F&&woO(K@xa@%ry9G;x zIr$aGaODDqo(E40lxv37%lweosp`7m&01xm5OFUa3Nh}RY)BxK>2dD!+I0<*jKQ39 zCsLT*dCAjx^IJHDP{NS~hrG@(q)%~705|{IrbP3|XAjanpc5GN`uo<|m*pN@+r6P; zdLMeJ6g#>UW{;qo)ajARODmlAP5Q>u!!<=pd+_W!^C0tdVE$tVn%VQx-3_#T z>w#IOPFB}CK1Z}@fbd>V^FKX^p1jtNlsH*Y)gCEI6y@wyXExQlu$%W_wkg8oHurZw zwI(R1riOZnpY7>y$x-QTf;ovIN!O+bYh(%vYg6&$U5Yqy4ig)PRYoJ%#b6OrNdIb$eb6x47QUw6 zT(26a)zEdGRovCJ@g!gRQA#NI<;he2Z>FLk#1A-7GQFd-x)4Q6s@rpQRkFJh$g$AbC> zN?WRHZqW>w8j6`$2wF}34j2cCx5BCPn-Zb!w*p4;3yQq$^8>?EV(-C%U)j)>XVs4? z#%r|Jt{L}y>Y_Q}l~s__9PCqhm#eA1D-;XpJe0aV`W^D4;DoaM_Zo-R{`V-I(DcxE z9LT7!6}IlL8Xrc)J6RR)yJ`r``c#!Q&fy@tvQWMC1(3@q+AZDwvGLRa+4K(OT}RfQ z%vEivvEo~<^mbYhIhKJUEKopn6%#rw}Xo9^d_OG6>8+hzi7U}nef(xM;gR4fiEwH4?K|8OV0|% zoCZ=e4|SwC<4EEK_G$fT{~&M^4^ofT}>*- za;f*esf#0C=q(JLtRCm4D`8P@BhY^$seX0{RVJHzr$jT~9QX(>OulUFkg1m|Dabxbp z3@L1-Q%{;AFZnF{qNj9)`3X2;lFD*B2K;JY3AMeN*)!j?Bv$jA<@&PQRJ9;xtmBp3?oIR^M|Zs)qzFehb!L?6ke9%kNEEu}FHaO;^hj@IUs*08)QaTnW#dnJsYgl59f1zM$eSk1l#DzW5T?8ohx zt5X22pt~eRWvvhV+WDj^a+n>4p|ZW$w7zd|!Qot4tma(K$DcdR(u`{&5`$7NI|Z}? zYkOPJs~Oqh?XyaF_x8`8CI?KMoODS}8={MUO^{DeX}-zk*i{5}uu>W9S@+6lbW!mChljZJ!*dp=c`(Hno8JF|$qJWL{kDm55H>Klb z`dYGRfG4!^buje`iSq4y>KBRp1;y~kq_NOx@B(4!GGgGZ?LSor~y2;c#RC{lzHD7f*OHysHDm&aW=m46kQpSA@FLQU4JyE`^ zAty%U^~RnaVLl4oV3q(I+>bem@cQ=H?3A}(ur2Ww4!Q;3_^blOU$qIH3A1!tZzYzm zR$p?NOd6uak!*qfC=Xe|GqMPtK{uzz{`+XDW;u4M;Pz(g<#O!AWksW{6VY$ufwZ_0 zb~lKM0w03>pAo+r&_&*GqkE)~&uU=staW*R=M*;qOH8z(FJuH*3CxRYjGuehcpa-2 z6%oi`J=yU~49SaHZ0O=GqVGHFH~KLtL`vIgoX?_9^-aIy#~uk;1t!k5DNomb+9)8L z54^=LFU9NoN*(B!`tHsxV2wqJAKo)FnfO^TNw4y}JXvY((NM3Wu3`91|8c>q;y&+g zsv1ShM_luKhJzvmgI4NAo@XzU$Jr2$X&rpE>@=3Nf0^HySAL{pQ;fEy_d|2Q#;K<4 zb;ISGT;i`Dw&FJJ91xF$eN^xxjTu&7d0UP@C8E1YHemB{iE$|qn~-3^c-1myuJYY8 zNfJ!^MfzbyE362zt+zdU#iutOYcOL{@&uGGnSt^uf*3401>cgZ(r!KjACpGRz+~;Z zfa>Sko;KQc+MP!V5s(Pp5>#af(A%d^yJ`8Xwyibr)IwPFyayU5K8}2{&dd$n$Ruga z9SX6nQT+{>h6+>}_RE7=0sB86EH7egBk=m69qQQ?qu${4Q1`FF^PEL;8}?+ zcbjb6mZvcHWFLw@c3+WL-ZXLaI_NlFo~~Oj@diaa`^oKFBD=4p!IAIlr1PLwp{g4>R^n(692Hve`344Qwq-PO1rfl~a@$grIad;rYu7}|8(-<%l%9>AedmzrYXQenH);}6%K zvmhUtI+Jy-Ws;+|Q%i0654VHF-aYT;RQhIqkaOPLv)5B{&+R(m_Lf+|DWGrPIxfHZ z42m*^Emz&Eb}I@dVav(J0lD2a>opf)AK&bm1(ioj>C3hwi2K@J%>^yD4g?(I6NkqE zeqQ8dSu!dk$a>|q%F1Wa{-R~U3pb<1+a)`t0^V`8lNyy1;YHLsIbHAO;0EA}xBOp` zUInWy-c%17oxg}VNoHmdvnu1hD5HFq5Gy)uiwub4n>VQo&1oRJdlhLUR}`{-{OKkIw6)Zm_6PK!ZR7ybw{Pq^Bm&2FN-48_K=1cLe%y841*p!}p|4%n4=8pZO&9wWayw z(r$Y1u4)f9v5@mL{Df{!czrIPJ(miyBZS$$`_%}v+7K#Cm{%6mZq6OcM`S^(tm}`` z(%dKQHpAY{@naiL!Tk^h_d~8~d_;u>?Y1{#e|}lhVb2Nk;hV&HSDG`Pz=pJ?TJ(!q z$Wt3i|J=DqmFG432-TAIWST2hcOrnnqKJi5JnN0+=W(3t*P^atEFQ~NJXL;)DXU3O z6b<*U7Puyo&^kp@3&`#ib9G_2PF2n}Hchb+daJRnOQ{wmP`91BL+)2O$3}rsA&k@O zsc#xVoOp@S9+(o8Ed4sxBjfJ=|Se64npHuf57zW!UzVh1_D~m`(z(_8r1Q5 z%PvI_-DAP*IrvpQJUjHP^`+l!`cTZ)S7U6RovPbH*FtPNx&6iibLBAiGBea;ELoH? zpkC`?TTjQ^Gi%&Bk+}!}gE97Qg%Y_zo(|8n7dKoDby6pkgF+ zRAn>`d-m}uDYjM|kLBx~u-C&>aqiF)Z+GURcQ-ZveBQfEFkdM90$|@URJUe< zZLWuelbU;wa}6C>$dcdlnzcNUl*^0rgoq;NQu*!49Z}X@3(c@<1)3n#0I1MWGk>|F z8Od$cy|%dQ750T2U1~{Ty$2V|t~QixqxfsvI>*s4KdtZ1ki})jGV92)j!<%{Pw2ie zosSVbVXg&m0}AA4$gk$_2o-;vW&{<(|c&7E;!$&L}yA2nglwH9nn zPUihZhlidM9G{wt@FmWUt77QpKohNHc=-V6!#H9bZ>dRm*M)XBkApcPLYen_YgEuj zdUWH!iXnBVCLMP zF3IVP63jyjw~a(zs=nTv)$x=M-%#l6K|7pLLM(J%-MsN(ngjZc&^AAxz4YB}W5{_s z#%I=m%x=B9bw>w|>58p}@anEW@yG34KcOs2o5eU)N}OTRfO5j5oQyY1*z5zg# z|300|iH$4!T-WoA||y)Odr(mKt`} z`g2BqN9$*|Yozx2qszW_u+~9UQFm4gePP)9yX>cA{lK3ojA8Dt)nN{8YC}JeVSaoP z{q(g@HTV6=Tf4w@V~rw?D84=Cmea@(_Zu0R)qtEbmj;B7`=kJUw@=mlBPk)D^ z1e<9F@B`od)=NX&w#K;!t$VDo$*SsU-C#k|1~Z5@`kgFgrX)jXKO8iQW%JA+v$NM$-`Gkj0sTso^{05vc)@XFw-pil95j(|WIGS^1;p=!LIbZoSlM-(@rGr$7~pQjb*CONEMn z3Zehy2M{NCMksxg;}UQs1bEh+4|pbP27VcZQ>W*_E(yE%y#vs6gq-eCcTe`g z)YVML3&ABPLgZ@=4M``H{_!AJH`xD=$Vjw8>0E zL$<9gMa*aUi9L^YE^R;E`5f$iPuOcO=H@K8ipdYXOVh2t}CXoz(0W~JR^`{pAb3NHDuHbBUt_u-%CjmMvtM;8Xxy`tM z8DQV`mm&Hvx%2jY?-C82=R$PL@u8(4f#+SU}7#7)Tpe8(pY@m$mM^qnD|t1%OX3R|Kf}U zi{pxXK~)<4|Hs}}hDEt{Z37ZR4}x?frP9(N4bq@=cT0zqAl+cl4I)UVbV*5fN(j;| z-QP93-TT?k`~LX;f8TM;0mIC2&wbU3bFFo*WS3q!=TVj9H~LKi-oQ?K-&ZL^9nkL^ zV_L5Wj1cL5zJqpLvH0Y7nx*B`!VbVG2;8X1Pwm)YZmRwTqR|@Lfbd!eW#xqij?p+Y6c{qTBL{gcA37-a#X z3Cp5NW(rG{?E6-4AP-Ie^jKg{ej-Qp0Y=yY$fthz0R)$38_kn70Sh<-TtKa9+Q$j_ zO_2qZOSel@fmJ1k1@REAV7qI?2s$72y)C`}4TQ*4q!&Tu6#BPY`6QC+Xk87r zHlJjZ=ptUH)c{jB{Ws|zoB5ftQ>lO!wv$~>)CkvHbIh(O|nn4YJo6=@+Yz5Ngdi`lhYeu&#E zGP4Q#%COB%#YlEf`h7Jog}nxm$j|=4L0&{+G(Qkiuc6otI94z5UEKXh92evXiynde z?~9e!g6rl>9nTN@7)=eZJ?_Vo11qAO!6itLP%aO+9A*TD*vK4fScpB;O5v#CAS!G3 zbwzJN&(l^aF8b4bfI1Hhd;WM=nC-q%FSALF{Y%Dx5Rvxc*@VJfDSqAuR%3wrnOvjz z2Hqt~;HR|Ip1$cL?Y;C(3wn7ApT_hIwi59s0RH*CJVpoCJcFQ>=VZ*I44SH7qMKJGUiG3Q82}p4H6KP&(N)P-LZI0{Rd~crg-UjOQILA%*U+P>ryu9>{zHOb)47ypo#qWb zlrrWXf&&Xkb&=+rQ%|#ZeD7d|TxIF&jr0;P%~SYiWEaAd9WC*@ z!aWDh^>Yc~K{<5NWshnlRnzc0wCiqSODj!!Z7ip=_b=@PfwvHKBg*(#A7GEEpfHfH z($5xiq_5g!CyW&a2FhS9dy+8!Z1B`nG&59QB zF8XoW;`)+$Oe@khzu*m8Q;=Di^CzN`L`RW}HA)*ALGNGBlNtLI^LjC6a z?P1F1?6bLNs=9N!s=DLX4NAJIZi1(t1y%#RgY_v14o`}pek%8sr2U|b%^W`JS$kNQ zrp}PqP+!P9diY3`=y~o)6sAWe>Ccv1v)fQ_F~{BQT@U4nvB|IdWxP4#Yl$OK=wESj zlFMD2Y#i&L;z>}N(Aa@iY?df5uDU?2n5X6d`S6irGb~)n_oD9UVQt&!4K*b~2UU!% z(FNI_dshnaL4p4D198Dx%U4qCp^{R;I)T+7aA!Q@YCBy{YtpXp_$B8t(Q$s;Bp^tk z8c7WTxSy`{Fzf6|!~^lvapM6`@Pes8*O-&!-ei$Bfe=VJ8hjumKAY8P-7OuT-x<{o^4d|IcUiR*$CiBy?4nU;9N&kLR5wK(R!C{>(E;uEkk2rXWFML zH(Abnj5zz6r?g)+V0A4>IcVCZdZEAeh7RwNLk2klK}vU`GF|m1YHg|VlP^Mg`5{$|vEMynSKn36n#zQK7{55vXJM!D4WdNBAsrlBZlX4!hfz zTVx$9Dw9vI>O3YF=wZCD{q7{RcKsNC<)*!DgWkJN zhHh?dS{?%Uw>T!x4RVchn9XzAo!_ciD&_=&H91u99hQCn{ykCiR*GF!&8r3xNb5YELT)5wO+M)2B~(ImrbsG)LW8zZ!8Z z_pZOqJ1`JmT0gXDPKIs&7n04_u-`fxzK+q9WUwL#m=Qs=$Cu zf8$5HVO}jKfE;UK{wSAwx+4AB#=k43^}Vv5ydldAi_uN zJV+)sqd;tM6!*Gx04Lqp&gU@MX-;6-HKei(^lj|8*+{=(T;_VFt^=}uT|x1jg04XJ zX@X5Pz&96Q41txGrVm%IVxzs-$JnFK(u5RBuAZ+0$qwiT(|v)-5ec0O-+ z?O$kCUuUJpP_udP?l@VoZQ1Oko(L0hNelV}$*(q?0YtFsbJKB=lMog*oWp?9R=*F} z6`G(&{Xo~FRX2v&HDj)ZL+=L2jMuBr72fKL2Bx=wK7xpob8W5pvc8!^96xuCTvtV` zvA1$7D-f)iS-sSBF$W(@diXif%6WMe@8qCmweb&+Ih$}f#2!DmuF#M=#mmJhyNzmHpvABZ+^?OO5aj~gNJt44ac)p##BE~Ev~uhu$(gCBv8%<1GroQA_gVXZET zGs^_*fEC$ASd-t*1^C=n+4vd9YW481xhd8a^4FN6QuJOwVx`PHH}}K!uZ$ofbjwu= zg8D~kvF>us@%`oF492PAlGi^}76tg|({C?IZuta2&Q$eiod;6>C1AbYP<)l-uwbKS zx^O<=#=c8XWbgomC;mtKn|w+dW31CLuGM8uI)Usj1XqdaneQK}4{Q<>R(0{UjE)~B z>{6p$lNn(S$(;sHBbZs83+dGz68x<1Pohk8H@S?G*l7S6cAz11Rh^y?!376#DteZ;q(b_6pLte4yAX#q^0RL_KO^-xm|U4RUU87?JQOz| zhsY6#5PCNqUSmk*y{yqnRY4S|OhVuPf!Z0F+-hYoXmA0Z(veW;X4 zj5~;ouh1EKR%R1k!)VMg0BL(f#9E|JFpuR;k9rgPRV%hnOuX6tw>^)^dY#CIb<&MA zUQ0O<76K7=?MU{pr}?nl^g!Tucyw;%hByN>Ht@;i^q`8H>}66L6Vf;5owahCr6uRr zW;3`7np4x$L`|1-djk*ZI*rQg4Gda#zV2{TxiI&-ZBMa%Fb(wX-8u&(WogGkxq8@p z!`6C-#PL{c`b-ahxUGYdd56x+_N12_RbCV-Nl{Te(~Ij6uG&!7v(&dRKFF1f2&z__U$ z&vgWt1B0;MWpWkReybVgvYj!J+d;LfPEojQ-18oUdcSp@m1VAN2R*I^j3)rWiP#C? zqMA9`o!e636_c(6{6a(xqZlr|QPWND2!ul(i=)>~yARC0Rge2B+*QtGwS-^M)^q6oQl#ORj9p%lPec99`HdY0?n(PDTSzLK^d@ibVwQI8gBL z6U9wXkC(w$F~eDeN&c6g29J$iHUNH}wUhA@AJwHr9Yd>E;B!bKl-ilcz`67k(aB~O z{qt1@2X}?}OzJ_3@DBZx^H3+@_dGT3PtfZe!M_-T?{a^H%Y^g$tKe~XWDN9ZAkkc3 zY)nkrl_oozKzR(w=64M{JG;%zh?1?%O$>>|9iTQUWbbvsXUYBg61c#d7?HZ7qW-$N zx{)P=uqPi36~ZO|8SPJLgJPTjU{p+ujhRG7M(!puR={Ks@uoL%v~Her_e=2%G1xK) z55vap{DUtO5(54N_9vO&8yv{9ui&3*lav8HLrrE(foCa}x`aevRb^$(jCSE|pwVeD zKEak;_wT8t!<}mKt}o!=erfrW?3Gxp9vuRZ>;HO`?n5jDYW8>Yi-ErVwH`m^GpH9( z`nnF*sV=V8o-7FdbPymDgT0AQ<7cyB!euw#Kp4B8^v?qRUPc3D=#aa;@;5WxoWJh4 zFSMm$f->b~*o)(Z6L2Eceh=%PpTg6)L++*9cA3n-FDQ(NrXY-9 z*ow1-2)kw0Cy3>k5Rk{VeQx<~0G!tU8i|rU0x>o|X_>;G*G&~O?ps6S1XXo^&0imf zpS!>dd3kxR$B&)mWHmllef~VTxw#po`4Q>AuLYE!JW!%Pn_gKp{xul9aN(yDl#eDl zwgh0GE>%K>WjswxOvIi1gf;IC^|$#wi;Gn@bOPniH;#J0P& zI95UbS2u&_4?b?BG{O5nuk^pXk|7Sem;Zn3|6}_9|E&Kny9LbB|5F?0Io|SpKB;ru zsVeJu7gyIhbY4IURg@)4k@~Z_pbp`ew)>-qfZBsjRof=-e5)N*E7ULq7^EbX!uKd5 zL_abiuPIq_1zqDL$-id> z9*02!f%M57Naau zb?LaqDSB@{s|GR0h<=84HjcEyF*RRvqpfB9-8tjXDAz;e;D}SU^0EVhgPsS6Ny&Zs zwIdD7TpBjZxfZyB;s3gU>ANw)8r7eR_c3pQuV$iu-lLB8iaJ%~kHPat`1B+QdwSM; zFX5(_f~53Gq{c9iD&AY|vZdx0_36`t_?mv zK<3Fj^CMwRl=Lv+?YpVh?NMa-S2u3>q&x;xNUh4^7^0*YU6KbOB=}1>TI(-Y#RBA? zt0gUrTf%P&&SXbxA>?ac<0?MhOB_^jHVmE9=9K!6yQ6eN@Yzka>g^Es)ysid%$OQ2%Tb=V&ly;DC0Lxhp$0HoLku&&$IGPE9Metw**hIYw$W}WLnx+c#C zZ_^{^Z^&d9n|RCYPMOi`>-$UcSna;vJ)A7&xJ494V)tek37NTA#^4@pknc)vw!|F? zFJ^DfM@3l5Lkh;y686Kfe9DLyHUHD)3!Fz&iOSkvcJ}YF`4Qp72=mbBgc~mdT7NkV z$_?*}y2-{D4mvf(z!Uznw|+lyq-^PK1(E%4AVQlNTEvLq^BrBk6!e%;eAK%ZjzZyO zzhp1>uqVlXdKxvuOB3TQu51*k>V&4a*d0rA0dpiK&k60tC+l5JX+&JnWv-2z&j*I9ia)VcT5jFcG(eqcNkx+$30;pQQ(i%k;3F zE!#N0k7E-#>T2-w8`1fBL448fLq^16ZM$kCS}`H>$>(9=A?!!-Oimlp{&V$A?X{h| zw^g*e=jYo|`HlaY)r@Y$MPzzhzidRIld@<{>@DV&;)b6x+Nguwpv4L4oN&p%KK^S# zQdoh*M^Go-HeR4k@UHs>MCm#tAl&BK1EMoJ1z4bqa&tR_f`jMc_}z9Z$F9*F`Ye;4 ze;aQUqP6ICEv|rk=)XWv@ z)_ZbB4XtgNgK36dc?_wLnV zu4rp%(IK{tLBz=mpG`wHrIHye}WE^SvJX z@ILPB*n5?u9Iq|s&n^AlP%^Q?FS5f_Y-(rTaU&S-C%~$4Y~S4>n}Wfwq|&P(5;bcE z!ick#!7H`AF>%5?Ob={<&{kSP6rG@J3((_vY{G>w=&T?d`MovtlXK8l+Gt##Bk`^; z1w~>r58U&e?#e6~@)>FUaY(~o3x7&b*VRou|quL%xS!Xh_`}>|)Clx6ZXDS+W8sl`^ds)b*+htH{!v-|!@BYnIQx$1swwdPt9x)MY z#H(t3iej*&ntB)^?pF{Ium-h19aoRV&F{e!n8bi_DEnk8k9T}}g z$Co5Hw}~7LPH`LGM&@fzvl+Xh@Hxqkk^dmyeqT1)Nq_WJrx`<&e98W7Q?#g+wkYI& z`;EM`u1qE?yP2QxwTOCjY02bL^KEK}MmVeERao`t-#78goa*BM2mH|M&g$XO5#e>W zl+Y4#kdOcktghAMY3qGwzry_duUs}$F~{piR&!!@y#nK#-5%^kc(5s|g=S<-4!;1@ zCJJyEy!inO~qSe-Z5fJqOgCkc+xI%G@HWH z9U_e8PwHPD-MKb)kT(h`!)VJ0XD)1K8%{^(r@YIoZAPA2vx$?RU}gWKJWa1+ml=H+ zTTZyfnc8rZ%Y*4(2HByUfsEbDH0|tBg7+=W*R##?W9OdBBnuXbuP#Q>J#OLw3wEaz z*KE0Icq&MDn&ukjgN-9W9|3QF277sUw_$MOCHVf%WjQk@Qfp!o z?!E7Yu}h`jsoGdc+kT8wZY~S^V#HvD>uuwq2}0hI3oIsz_G;HYU?d+nN}197V}@kp zppLbI?jX;HS+wFdcwJ`m5e%uK67$J)^!5)H)8^uY+x6hO9<1d^#J>1cn>1wKwCT?y zjT5s(nLZtA+-_hbu;q`7)a4fBYGFUpCV56NI}{rJnp!112nxqkjYmXADWH}kjw5Pu zq^<5arHJkU#HW@i7EJ`p^6;ciq*5mWc*SgEwpw zJFzNiJj1Sm8IrOuw9*7Rw#aH0#Q#E+>`?Wtc&uSNM80RegzZh7nCJ(4h~jY zfoBoymtuH~-Pb8>?=3#@g#>=<6r@Dsvtun>yLsGzjZ?Nh{yZDo{dv2~mJ;`j@q>{j za`Z)w&Ud*%ec0@OcI>Zx%Ww}SWL6aLYRR-exA{AK<5T9|0_i#t^9q+RPIN^ZC%`>2 zdpUpF6ng4G1>0rlZ{Qkw@3?>9xTnhV*g`}qSoU^9HM_Gf?4E?;9xoL>-OOU`d@3Fq zkwi!+LprB3tAoYESXbxsupi4;Q7Y}gYB6GF zICH!83q>k6tpQ_uvgoJqpIyU*LymH(tR=En4Sl_F`P0g$63yjpK~?mBdS@*SI0^GB z_VY=(xPQIga)k?_LZ+)0in3^ZfsRE{Zg2}PCXn8tR>Ynj>%mBVEn&wr8e3hJ_}QmX z*4VT$gkh?_OX42#<*D|5JMLGHAPKt!1%^LoF-8%=dZJK7vbQHxY}Z)Q-?9)rp9_Ui zFLE~jV;XUz^B@2La&Yku9i#zlRjYaLrFhRYop|nop}7iXIaV=k2*jqe$LS7dpl9T6u(ZY75Q3=U-rWznLp?5 zm(3~T>q`xhU8L)i!d++b09ArNoHq@{2Xb;LyeBHs0x>+kMh}2CxQ={5TrjuEubjpg zHOt_%*d%~_G?bbXZ!J*g!SHI_o3K9PR5E`h3+a#dTr0)81#HM?wpsLFAUljsP^_s$ z$IS^U`TwmxN&N_Kik^UeecNog!vPLnt}rJ1$;2B0P*;Xqprx%Ht7EXz?%4!fZ2HuU z1iP8oIe2{Pz&us6gjHcJcan}Ts6I+(Iwq7JZeC_Pt&}R)xm={ZxbF6X);QG1^|<(R zt7ra60aW5r(MikC3AU4n-B>3+DNu5H%e-&PryutG_eSUQ!w_7{`YcBOh}|!~;RkJ} z6mzxtAUPoW>80bk9tsvR>CbbZg&D?vNV0Hmr9yXR`xYs2$VKKv#`X@Ztz*k^U(eR~ zi!;Tm}o!=a%Wx~pR^D{{)+@0TNwI=9^x z_W1^u$IL4@*6+{ev0pi=5U!@^!Tf7`O52I%Vtx<_IVAiZKX6z1)?5c_@`^$Ak=$p+ zT+?sZYmS{?4m4sdcw8tT0Y1+c>^J#9SouFTpx?{;8F<-;5dDw%zvV6!0u;%g{xgYn zdjJY{Lhx7ebY*|laoVwNA}%EIqxqlrR;v=`zPKlMJM=>JGgm^d; zM<>xnlZrcP2=d>T>yFXC|8&OuYmG}SAeGcR=LF4X67?X5Xa|(zNR|7uT@FY4{2+fu z^*od70F(Qh0f3agjj6t!2ad;E1*HIP!*Ta?OoYtv30WrvY-(L;s_1A8Exn{UN9};a zsDgmEpQTKUA$~Dy%qx5oZ%K;W{`$6G;8l1aoM+jelcQ0IsDVv4)ij4uW&QdZ4+Y2N zvu}IrdZ!0d(JGCq)zGZ9Awhs>4wW+FwPfa6=!3nXZ>TW&n9a=~>8N!SdC8s!N4~xBOCRQ+e=6`o1pp)w{w`QSj zXonK|-%kJUDfl1`g1n4#m{k(L7mNY1O$>z!D@x10W=`OV*?jqm1h3uG)SS8*33+yp zHwaYOjJ7s~IZ1h)|6uXL#fS}&BuuL*O0qHPUFrv>0h$7`yqVpn2D9Vhs$!6 zEK^eS)2s%ravqe!q@;c+t?~VC9C|F|%M<*ycE0dG2Ny&$e0^_^M*EebW7>3vko>SL zg=o+-v4b#9vlF_czto=Gxoh*M!| zK4=?Y9wTpmNu1pG1T%}42K9eT(|u^%6sEG%Z()rlZQ$N5nwz}2D|y{GpJT9;->ZIg zAfvhE*)8bciP{joyl_Y*JfJOolo}b0T11>>B$(32Kqu4hQb@IqmNC-a0C??x!Cf2QCTSTa~Ob0q@hUj$0&8P`y-%ls)UOe!_f3Ja?;DJ6o z1n;wKwC{zzPqN9Pt!EVZ{I63BTYO3>1pE2Ix*w)oCtvuP1|nEJPwV)`igzhVpF|o9 zN1<=<^n?gUAl-rZF^Kx%F1D6Yr`^@SU#^J`4`!{-$-f|T4BS|JM+oG*dl#m&Xf}TlIO?SJc8oz*!lVb z5I<&43$k{8ER0l{gxOG@eWy-{xFn6JjdN@Wl>Dv~9~B;5v~6~_`@;7uR6z_pL64js zFpkw|I3E;3Ho1e|@r?Xf_w*ApO51X>wmo{E1%a#LM8vkrgi579tCArH0WtKOUKY+< z6t}EmfgbVg`S+wGMh&Zxs@fXx-=jPGQ1MVT-wLT9GeV;HBaxv9-rLLN-S*dnR#O}v zP=%Zz;$!lGWf9Usp2J7s*XR2CA^$blm$1R!;OG1C;usJooO~&M5hqI#cJW%ooIpTS z3W@djlBedyYc$VYUE4&INXhxCc<1MnwB1 z70|cB>r!DJ*Xdj{kL?>BQ9g?d5^RhUW@3?isKOwJag-cfnSJwV{FAaqw`ZntxG*sS z^P8#h_kJ`ybdDxO5CfIIf`ZR*3ixc=tD87K-DLm72!N_Km4`bnxjs zS_w*IsNqILdq3iMort%a__Z7nn(U3d9$Sa#;0MZ%gg1kQ<9$at(j1%5yaaB<3mT48 zmxlwtdLOC(*$%$|j2=I5NF8frt&Fu0s76C~XSYc;%Yc8WVQ)OAgTo;CEvLt2cE z6O>MszC7ICaJ@5#NR56?TSRC{JyKRb+u*Vl>+_s*Xk=c43D3_9*8q=HpfM3^YB>PQ zYUgV?)F6lB8OP`}{6-=z)XeaM>fcs}sRX5K&!~=B;&A$P`)m4Yt&p-rwqvi94bgL7 z`}Hi;F5JjEXEyr`BNM92*uKIRY0;dA$MGelQy_P>XYIPSy|w%TFR$$H>wzaY0LsQe z6^tiJQpTve9Pak~q1O-F}21kxBJ!$x7mQD87(N z4ST;@BKbHIsMU-NL_$I7Y~l5ale|a#eh1IHi<=&#ko<>TQ5pj&)ys%3Bdls}Ke1*0 z;4u|U9DsLSipTc)X_tbTnt?c#teO&~iH!0@Wr>uQas=Gcj~2WAcuJJ)-40 z)k$EXSV-lO10)2MKp!H4)<%W&MT0Y??*S#US|&^Ao4dPy2fE#rIpweK5>8<^SGgWN zO`N`WMlylW{K*CHT`d;#pSdY@2Rd3u;IwYL0lLDSs(tBTB$Si-=h?`yL$l6anvm3$*IGMx@KSKQom7Fv!)!cw2B-{7CbrDKZamgeel}L{~!<{TN z9JU1E0K;eUk>~EEVjDCh5oMj6{PD&9i2`XitLZH*@D(EWF^MHaV-RE1sTL~;-b-pJ zh<a4Nrx}J}Mj1En;m|E%dGwqBQG+*ZU@wYH*Vh%#wi% z2VxqtMIA#d8AFA&VFt@k_Ros3LlYGnGde?`6%;ByZi**P4tDz)L^Rqj<%m1Bf;i2p zdf)CH{}Jask#KdI>@ah~(2XDq8HZQep|r}yFvK6nQGDafdMLTwm&0!+Om2lhpmt8a zM=BX+tr=h;LgCjQu?gKx`I3o0UVIex(J%QhPqArK|IcZI$I&1}Ow!g_#W!*~Pn2?ar`0;*vgr75ky@CCqzw$i|X)zDiB*#-b-4ZG>JGjvAL#__Ka%n|ns^NTCF++T1}MOqvV`EpXtd60Bk30=m9FdxNN z(sHy26FOhMALfiVepUb#obo8woI?|cX)7Z~pjz-;{>t2QkTkZsguA%bA%=t``5{WQ zJDZ`KFTiV1s(3Y;z;dZ6f=({u?wx4aQFHdMB7epId!k#;o|vvo+E=+BKo=ML{ms`z zx#Nq?&e0$NC`=|Ysu-fFtTREI)4;U!)5L+$#4D}q;3_**@Qp0Zem!Kvk@RD|t4TnC zpj-9_cxXYOTP)HrobN7Grhpuf3LNA8L^;t$%0eZ{x>01cqLR@?q@h_g)>$nHOz58R zC*e*+`L3kqju1g;qoI9vxQ>AyFN~S{JSbY&L~@Ze8;)^bm8zaKez3hJI@(*)&K{A` zE)n@t9cSW6^(R9*sgdfxtPUkU*oGWvRFY+f+UINIKm8G{uD>@jjyM;RR9IAI&yocp z*^E6w&ZY+7X3Hap!I5DzR4{@jYvuxw~gH<`KT-(1C!av!@CRDz}-r-*vLOi}mvw57A2I3)~ z?sD$AABnzKaj}Oz z&yK|3{!)YPQt*W@54G%oG;SM8l{FNkR9HxnDMiAaL?*&;SH_?lpV^Nx>d~e9^V0So zXZA+l^>&tO%9CiJNH{xPl^J-aX32No;S?2pjQB{ZNeaX1S|Dl?N z93dg%G{)-Pus^&?YStd_QwX|2z3(HQZl3yqcoKc%j-Rz5noO8~AxoDu$3)83?0dZT z2{J1G;bfpk!fiRgFbkO&xJLEH9yIhB{+J15|K}KLzcvKTqAHy(za~GOi3fwG0%8M? zi7lX+t@Y)JAs48)ITWVc-Y8oPrGG?9*y3I=Cz?aFLquLJVxma6 zc;~vabr^?4JZxA5EjZhl>-CND(5Q9LHnSm0kBH4I9ZKcP8n-|`+KR6#q@*28t4>CU ztyw4z;orHrBMQs^YzbfyYJ`9@$lPB4$y$pLF~Q3DDG71`4L+99qQ_Ybat8YHz~+On zr*In?7UUyhwHIt10&Ya<4+EYd^h?N&3)AK@aV;PSr>foT)7ZE!!BSoV znt^h`WlGW^NKmmpHfbFoQy|5Nt`x%|=BP2&B3&-dz?Fga2p~eyaU<@FzcYlu$8thY zf-(s+n_PTDMCl)39no+yw)L8z1G*2yeOrC|WcJC+=K0j8hMbpaT7NISk__TI?!tGwK{M1~H@RbCuDTfd z&PjFk+Qv-E@#x9as9Q8`-cJagl!EU_l zan50*KdIEhdZ>ufw=nk1TB$o1jiBf-9~Mh>1@wJ1y;WYChiKX;vUi0OG>m3(@k#ki zz89w|iBig`x7%PS`-#a(J$Y>7(4ffrRPZ7SHRoPYSo91lHJ0^vcl?r~Dj5NQwK4fg zi@n<6I|Oj5wKeW{c6wpu(z{s(2ngQ^*$1Ld7QJak!rRn~(FW0n6C|t5`GcgPcb3l{ zD3NlG>6#q13TGFeH=|hjK}={D zKUZeCMUnG0s1;q?PuNz0OkGM$za*`YfaUS^*atFkci`>Ox}Jr5Bq07tXcx{zJ<3KV z%|^TZ$#Oda@|+An*Xzq2(1iBkk)_L(ggE8)Rz>?Bd8IGH_uW){3?nbqXQuxCVo)jM z!n@I7Jny1;Ohm-7J-YK2m%q~@6qp=QPGBElQ;tA;V>*R+yry0Y)-&C_I?Xb>(nHV2 z+X)ZZ5Un4(s2U3YPBQ6EDqf6f=F)_t(B~`c-S|?D zGfX-F%J{)#6l(B-R>4b|5RszJD2>tr+g2htv>u!}fJfKhs zV^4x2*A4|)TNM&eQ@@EdqR%0eAd^=g+|Q?Hx?0Z0-<2AWkfiSEc_VDvIQ`~h;&{nx zo*G9T1_7Z&$I3@646@l>P_}OArxWTX;*=$yEpdxq3I@T2P?Nqk=pOqd2E}+5d1=3p z8TIv&v+xf6wp3>9hSY!5_91DK(pn+KX8gLEjn!R~dWh zfyCd@$vy(Vg`1Plon5K`9U;(lj+GU;P=9r-{vw54-&V#=FIQGDBBZ=A>&3!GrVj;5n_!O zo8m}2z_YFI(qv`)1MOwR)8L?zz;iR2V!?X0W`Dr3oGGkeWG4VuLAv5S{=En|E1k0lpUpjvl6=c6P4axC<)S+*j}SuIj)|cXA*fj~ z+SK-TR|+Q2e0ZGbZ5ZKk1DHM~m5SOBJ2b@zgZHLa{pk4p6QfP7cB2_m9&BIF&!50Ux~Zo)-oH-Z1{sRczAJX_;pB)SjH zmDMs0h4K3!MvMXP^T!=KBUu1kSA;Y;dQPVQ= zmt!OB11Wvi3Rv7NVM$IT)?OE*>D7SUi<`0Thke-2?B`jOCubu3fFxIi$_7_eT{$4>E>r_8WaEuFk2vwp)$E@|6 z+W0m%i%4*SyvJ21kcLai+FlHXsdAyAeA0qc9Yaa)e7g;cH6%r$UUGl(e~3D(sJOPa zSwrLQ?(PJ4cXxM(;O-8=odmZ4A-KD{1b26WyE~`Zd;i}VYmC0&q6g5c*POH7s;30S ziU=Hldw}hT!TJK2IWn^@*0p=^V_u?IDLv>cH-x{^f$R`%SLzqO^xCG5AV6UBt6YtR zk>D%7mS8o~BzCWkJe`=BoM33N;!+n9k?|wdWx+&!KA{LgTG;oOyKS4nw`RfFlm#Jn zO9au%)c?&YzYBnJ4NMa$G-|=%^Lb8rtvLtE@*ZTloB}DzbtNG~z*NiH#$BaH&oWE8 z)H{&qQ+-m^C2+9>OcU-vE|frZUI1fHnYr(`bK=q0>{RC=Kv0Tgt0vJ`o7ZGT?eF+9 z+xbwEZ6qM>BCjV6iJo1tl#t91Ogwh8v`o*X<;8UwQ4(d}qAmRHPzzaA$XDyPu4_O; z?>_zAfw(!sLnzS|hVj8T*Lyip9AbMyftycDPDANUs9o$f37G#={%?c=cfSK0x7zLn zKW+pi!UszzkZai^-9EH_Uotp&May2L+pR8FzMNVL+H3+tjqB&=0B#O%U_68K$nmq) z@(jpjs1i42D8l=zWy3LOC6*GJ7U_4LoLdjXSk0Zygn9cIKF_4u(hQ=g#!g3mI-97l zH-W*zM*QFvSB-er>@t$hzq2#3Q0Zar!0o|o4yDjSCQ#m$x;dKhTUbbo_YP9FehN${ zCtiy+%0!&Q#P5GBMb*PYq2P+L!3l~;6{7rx{MA&n5K;V;7?qZ|!wSM0VTVQ%&yhvLAH%?qR_BqNu)f)ZnZ^3&lxzO1awJKY z9I^m6dYJOZ!#?WXji5O6hLJTQXTyYF#x8AQ^=5+JP3b1PCf(-{kkBF|#K4wUC!Un~ z`$#r8jS(}6fSt&$#?Vl-qP}F|Pl+HR2d|yLgp^D{VsmSp-#_2dUl<-P$yT$2s~;DT z_FVF7fX{%6Dtv4FY@1UtMI>-~Bn|y0(H{uI8xs4E$^aY@Mt93Z&^q{?=&py9e4)W) zK{)#2e-#~Lj*{P~a%jAwA^-#h$-OKFye+oFe)Bt&1fq5brjJg60Yd=^{JlTGmeNt` znJXTvhc%b@j<+)h&bT%U>vCgY*B;e=JD!*LjuFHlJkiszBum`7I}ou(g1A5`b3O?) zI!s}R8CJ*8A6n(oBZ^$!Bwo+neI2R_F{N6-hEJfZ4{li3wn2_ZRxoXl@=rw4JPy=1p)V8q=z>KFftjnfknfd|0M}3_lP7ylVWy_$vak+FKRSy&2$>=v zO_~asRX2Iza3TFU=y-EIVp6aB9oEGFmuZsf?;TlBEHeVNxG4ABXTl9`L~_+jO{mkll;CdiZhkP z{Eh-gf>@|NMh0s>Y?sAh_weF2RMPpRd705CTYrZ3VrJ*^%Hk$#JvcIQ*=1@^ ziY@l@`GR-3FDf!u4{^Oe$54pTyhmT83jP|aj3-e3?@{zi$OxE7zDN4FL^{6$7D=vb zzMpO4+U)-|K@xnej*feI2>9^uIpEz)A7z}i?`sWKRwGs|WMN@S&IZEIKhKoBP6-qQ zpJC3`OdtVEF7v>gd+00Yy6bFzOG+9xg<+NWobr8*sSYJmuV#EM! zK)4uP6~UB72fM5udnQU`w3@aEOFUpHx&Vod!}`vVGGz4os2Hr@)I4d7GL!2>`r!#F zC|W}|ZJ6xOLE{(^+E5W57X|hzNcL>aiZG$(N$mAuwco%q{eEsj+Z69znztY;KrWFR zq{aq47<<;#*>ixp>3M$2MK!b{ouGlQDb6`O5$puc`EW2oSU?rOuy`m!s0ghBEEkk- zHjU-`YBGsx5=Z#}hfgwKJ4tnj45@}FtWQCWz8iU=K{Vih^8#2=pySK9Ib}duk_49T zCVjHrLJm?8NYh~KuxbpOwfRvZdBiNs8%&L_oe0B3A@7hRNCv|X6YA9k3KL->`Rt(u zMd&*|-2HAWh8Rcal#ipRg;6FxXNcEd;~ill#R=~5hnkd0Hza9Dw4WpnCo&eSVE6(6 zWkFcb>0J^naZ11wD%ESPyHY)}g3H0x!@TPBTR$8oHVTEYhYz07e)xZ0e|+b&Vy(X{CXFocU3F_fX$QPL<#8w-g6a*+xoQ3t>4DRSd!bk3(&^6zl=H5ScWr%i@mff+ zk&m~{kGJxB#q~&1b2B+Q+z>*%~-+lkB#7|iq|vFGqXZ}G>NQ;xp?jU)>hzv zl21CRA-oCEOS_ZVM1(2cA?3uOj7H>y1beOR<5JjksHtN{*|%EM{Eux?h-s>OCJhD4 z@__OBGj!;XzVLNFBqZW|4)=Eh-OsEgUW{s#ip^PLq7X}-oK@($W6U{>1AaTA8n=+RuxXPV> zs-6GNM5z@4kCyttoldpJAaJu6m-QvL#E;Y|fp)M zv0iDXLb|A7Y$dNqd};P`1&_U!e59s2MPdyOSF{mfm;Lv2WtYV@o;Gy|4Eh%94bmR7 z)-j|bV$=ET8(5_~9Yln=b|eQ+B~0L$B%Vf`26h8z#UBwE#n*lRiR3pde!={A z-!|6oH;|`mYvRG9r(h|^j=O9eA?EXN-f&kQt_Sk+yx3*`k~ov30kaK6u~lZ=(*pye znM*}$;Jro<=Y?FJkI25?rZh8?G+cLj2MwzQmF5@Y-yhP{f5r#x!AMc?Y~&hM2)oi8 za;YcITsXc7;b%I1696B<{y}MrC5knWk)8+;A;JI3id*a8Ic$cKCk91O>)2>E7}ol& zOaX;PRa+%ApPAnrp*5Wqe}dd2XTUH@w}aQwpM298oaE=t+Tr;MbQs88S<(p(Xj2;L z25vl9)LAnT@;j+%sF9lGl=_TNYUWo7n)hFn5!*f*eMWO6vAuMuBmaAZ{mBe`=l*i> zqB*xvXJBkrF7E^^&yaMu)1wFMqA;Vg@+qW^UW??}7{wEudci09kyTC@O-_Mg{T+ht zp|~4ru@c^-8=EwTFJQ!S3NPl3az>|2pSg9sK#Nc-ud~?m*uI{4*KaI+I`WL4K4rsn zccVPX7D5hvX_lqpS@7$Jgj}&BpT5Wk-IXd~RYD8*xJ`)le5E%w0V~)ojL<$ICG#4; zjTpj(4khF(O81T|I99&7f`;0z;ZLZZmccLZo|1q>`PCc{K9ETQ$*60s9y@AlR!(F~ zOYuA~w8L*Z@wYxY3!?Eb;FT z8S`I@pNgkaJ~-mmro{q6A+;y4I(9+|J!ZS<{nHn}dhp4mTcI-}C$)jYJYL+WaOF9EH_5 zynny`3T1V$3qs1jJClQzKGmsHlqZRFJEK-&9eFDtVPM&w`CHENPawCCU8b^)W(BKdKWQv7mU=YSqf{ z|D^6uifvHum}e>#TmugnC?amaV;|9{xbhUqVDNUV+2&e+26vm!1y1T<$*CQ;(PFCr zj!n?qbYqN%e^yJfmwkl4bQCJQ0I8?awPB6It|eE%H8dLqEhti^wEDs_Ukv z@t4BoZHf>dT?#V;cE?dVAXS9;Ts`8sRPHA}i!<_cHd}bI!5i{huXUl&KxoztkibeT z7`qmalIwZzC>Iqg{Kc{`X@AB?xF5j=YP^r9fNRXP?sDJ5pPYT(P7EEYJO}8K{Bn;F4TkRy+rT6G&7Pfju%3|L+x3pASZx5$fFH#t6Yoew zr-IG6A(eeW=7;&t%oh%TFSJXFVuE0dro(K2aBlhnt6_LNjKezc;UyH^xKkcE;FFgR zdSHW4jKRHL7e3!C(2{7G6EmqMOdpAKPU7d!0-2C#mfbt$7*Pnoi5DzjUi$Jt#G@r) za9BJ_8y(yxm1;mZCmzLd9(zZbc+VSayEy_}ge9+9GukI{VrsxWm}HrFBo;wP&U}x` z4!e&gDiqz5hE2us$2bwFgwM4!}dlHl*sBJpVB8E0dV&T4=k-|!q z4Dj$5vw*F@?WIC{%fr(EXEFyaTTx%X##4@9i?XFa$ za4m*2ACiP{!)lH8Ijq9ps{c5gj$vcUr0;49^5ITbb5>w=(G_HI_LvkJN8Pje0!DY; z8FwWJ#V2S?JohIig1C^vYXaIexhT+UEUbX2>?;yQt(ocs91xB^QYCIOOTan1j!BbF zAR6xtNRz}X+q`ZFV?0KRA~j6q5*y_BbU`p2M0({g%GS5FU!1lhMf3t&ixklN z#eNv(xmpgbnQ(D~ha{j~oCKxFTqFF4a!N#ELd0qw6+t zX;16e!Pp8ti4XW+J#b+Dcnin$TC{5K8HO&s%J&_vk`v3TXvDx zTmgX6;i~?UAXczm!{6Woma;Hn*tkY;b{xr5)4{Ww;mXQ?!IcyY2N)H-2s1yZ=01Oa z1IDfDfdnK!?&tz#v}?V%zvUy}c zObtIIbimYcpZk=b2o~KN1Dufbvlm%On}*6Ruq!HmnYRRCJy|;Zss?lfz!F|RJRYm zt~#0I>Cq5qN?Aw5{JsK;xAxRhgUlbHV*ZDcp4r_8sh4F0S zNW2}pA;S}EQOMjEIQFh+4|y^z;mT-j%Msi*cBB+nc)@ENhmWC5FQ@cPwYI3=H1iHGh_#6jV^6e*0`#EQsmfI}gX4^S0N0;L3}h-9g(L*oo(hrU6xxfLtA ze7Lsl%W)J33(fsQRTO@-+#x9gSfyJ%$x>zq5D`4e9Y9ffaKs_W-yf1ckFLreG132S z?OJp&(fG!xq7q#xQ96#*dHHRbBUdYx7CCMv9d;1?Mvew|UcvXcob8iS-?)8t=nwY``y$Fy*^kf$n32U)cR@=0%%Me6c4&(x&K5G`^XtsxGyLLl!<% zNh1{%ro17xuZzca{h1pfK(?wncZ!gX%Q5s99jYx?2+IaZjDkE28v=EqflLAxCkESW z(FMH^Rf3PX!#s$VtC`L?6z>~7EM+9VD#mTl z-Xy@D+>2%1YPYrUlGp1?2OT6RY=~SU-jGKWDWl+I`F%fdA_8S+5|IUg*>A*}C z7n)AAnQoK|6jJ^o^T46>AGU%RS~Fat1(NR==^&6*3R^~sOy>Co!xhx4vjd4Y7Lr3% z`aIK>J^Ty2uE-|p1q^me;M4H@C#dY+46GEEpBgv5-^{$MZHc~(dN@O8+o?i*d-%MqR(K+U{%sFQ`-EQ+IWE$8T z7IaNDlie5*%E_jUp^!V4)#?B!i7+RU;{)>*zqM@$Br<`wQKFwwfJ$?pnLN3`lN@&g zJWW=b1}d6JJ@TX+%-?zCt%Bz8X|=!b0#FgwE{S%0lm&1&zXqYeC942rjbV_fjdQy- z%*uQ7ztJDlcHQ<(ACMD&fch_*Ub;(0fVOXF9_&`*#G{Cy!y{J=6$?bUEUbo%{0x0^ zYlztB>)7t1`G&s#_#*9;Cc;D}gCh+q%-;=OFoYY!P%$!W>r46Sc9N}>eq{orIe#9T z@~pr=jRi4bFPU9Wc)KU*TKw;^8^9{ULR=r&{WKX~_GgDifH8Uf_?}L!oh&G@LHIm# zDYOCVXe~YZ7i{R-` zie@cyqoW{t=UCEQ_VRbJj}dfu#l`n?#2{e`=`F*8WXuvGhK7Kgp6aSVCk?| z;1$+9MXDLV5Bi=W+XaV=ZTa`1Xhr}}z7rTV4dW^tD_S9I4%mcr<)jQ%UEDnc2{O=W z28-SYjPh=a`BE30Tfai=3jbi-LLIe|GsaP$lwusYFqBYJmJ$YFK8zJhJWENKXs-V$ zToOl7b*BftE>IeNIhv_9L5nJplh^6(+c*7U2Fmc0czBZSn^4j4uPyl=Om)?@T1fc6 z-X0?4d`_VH^^E@uNRlICLb!NkhvpREhZ1?LIZcqc4#g2L-XV2J_%M}xlI&--+Cpf8 z(r6`tx(Bw0bN9gZZ+Z^^*%hc*xibD~$Z+GhRzNk57Z-JXi*Uesct#TgT_V6u{ibAL zxoNhSs!8`lD^`6#x4e!>#Bv?=#2&v!Supgng^2wFQa`&_1ART>2^#@x8C#jFwSCzn zg1r0?r=GU(rqFT8y?F*V#i2HCh46$xVDFf$k=@p{f%rwa*bL#AZi4oVhEgk7f2$Y$ zht%5?{?+h2)RNra=6(40VKmk{n{yJ?R#$dZe3uN&CT&0PU>7{3`N*JEh zm|wqOJ5nGb5s!3cZ48QR=NU;G9$;)cKwDPcd&Ae}uF?;mhWMiwKcDDzmjm5CCG5e1 z>Kx$$P9?H-1JMS~`>xof9<`1o=8~>)n~e>F ziG^15I#0IZ=Z%ZW56VNzB9ovHiKXY*ll5$^`r-woZlt4a&dE`!#%G^(m#h|bPBbc3 zp4hkiO^KA(rn=0JX3X#uT!&kr{hU_DUAIG>0=u#sZ7N$RE1HLKqjF#OsLswD0@|3f zY0er~?d!0BW-Ip@X)1Y-jP^>8yX5ppkgq&`7J$6K)Iq(X@L?zTl5vEu^P*ujHRo*E z49f?7FR)?&$|cUA;DL+~bf|1TE`Kc~2j6nj!k_W}L8Hg01Y|s4>QDlIN zPZywR;JPfM>e<;A3R=zKzpl46g6eSOG9GXIIHlp|{nGe<{VOiD?RoNwZhezy+s5K$xw%NXLY55JZ<|Mk68OTkjM92|%TCN+TRJz`^ zWMSDn2VIhiv7AvLk))1KkUgwkT6GZ|uSW%aP|vvLL=?APqcy*YS=q$1ElD-c?GU`! zf-{DOxUq8}+cd4@%|nJKSfGnxXKVK56W!Rt%u&IY(p8k!ZI-V3*r6we&WDTW)|4+F z>!z-t6ngTny@0Q@&G-S`hR(ivs}^NNqt-vyiFFSD`8;@>1Z)M$CYM$3K=5mJ<7viA=nx`Ad;6Z>0l!sNj9D z&?bbHykfMY{Y;ep-uL8W^oc5^MWxfFbhwEkjW8Q0;`jr~$f6yDxxExKdQW8aN%O9~3dNx%XP1@cZlS@X(0q^Y=br6uDOj3c! z#6h5BB=GN{p%e-9BsFm42~51cLhU9`Q3>M~wx%KQDJV?X?PGF^lef19KI-S`C>Iyp ziOSjPKeT_SXRGUv@~>;R3^?zKneDd#%Mo1k*rAZ;shbB@FVP}Is7%4`9Ho5W_XL2TTug;zPPQ*$CoFPxqh zVs{(4Q#guGzAc73ys>%><;!At@LGPkTp?D;ukCE?H{w=A1tM!{gbI){;r>%f0miG$ zBPu9C&h#)M2f&DAlFX+K1;?kfP4cZSkfCUwJhqpi+YrO02G5_PI z-|ZY|k*r%?;&=-SUw69T@D}dMUbxVA{|@qVUlDM^@>1mRTy(nKxn|hmJ^zeWYNU1# zB*4IT#xMs#QV>1)<wE0YyT- zcZ&{iN`Tq`V!T$!b(8IuyMPQuLt-E5~!O+)F~M z`{yju@IsMrvy+*(`^JPGT{RF{FEegc2F31f$7gt_3ifhCbQgVyp70stDM} znJ;!b)14CYZYS`8#307@iPp!AQfXpAnfy0tcfnb@em~x$K29bSJ4QOZKUA4ux=_1g z%Vt0U}idqZ4#7TGKd6(u7+9 z!j*!1+p1mg=cdzU;yccH8l4yr#Tj&ZOyE<#o3mH+o?K8{s1P9LeW}$YoTOCRj8rAS zUOFzggcw=YSH`b?uU`pk@hFI-^FMnd8(+nL92Dt2W;}c9R3umSjfi0G+Qw z_Vb`4brIiTuXzW-g1Bdwv(7O>@R~wQ%z7WX^d7yoGI0tc9O~hh9Mtl z1ExmQAyVXOWvaQ;+H}%h&*Pob77_22{I(G)EkrDWdg+~86jyz&!@k=W-a$eogc1Rp zXCR7Yn3-JS4q^a(W?FtAvVv}PNN3g+>b>eA@Sm%@<|YsdI)0sIeG^P&pq$px(C3VO zRk_M+^8I|-L7%W%x`+@25t5MjI~8Qc9+6>3?mhnZ@?xPJI1t6-U5~vOaEU9(Eu&cS z{6xB8J-g%q|IFC!S~ti2VwluPOJO%LV~Zcrc4 zQ?^WIel6ESNlL}}uPw*psrvjnKP`<0+^lQL0H}>7EChOjB;{k&ny%uta4pEW7e!uC z{&vyHw`S#SD#fFId!*sU6{wXufhAFN;c8u<@cH5n`qCa62PVjUF_$UC`vv3L_s z6Aj}akYB7ED;QiHI$safsgGSagY$^W+shO5<9Tia>>$h=>qvjy;Ur6&i;K_O7x4ZN1c75Vv{9q*K0dXXl4x`CGw5#Qx!pWNGW?%VQn z%D~vm4pvw5yKfql;3b&g7Em>K?*+kQ2uLSv0>D1Z*2nYJc*@rPNb4TS2I&>|mn?l1 zu(;pn?Be!$RC>sLp8LJ zk%U({YPqOHIQ87W;E;yBrkdbF=xOQ9H>6SYJ(tHBsy*PRflJz;$Zxe^IkJdq&3XP; zXe7b!zpm^T^loQ|i!k=?n*pmpoTmr|G6nQ_=H}(IU%PQ zXDwxOSx25y9%H0sQlHgL4~t|UyZ-&ke!lkkbc2QVy&NwwJSl$MDxQN8Jq8kJ#=(pm ze%u+h8H{8JL;1cv-`zFkcLk?C@)>97>C_SPu3Ii? zc2S+gWi7ktCG%E>38Rz_)_9Nrtx(6L8_9bOK8{nK4fVoo<&zExKCd$y;4mHTsUKw^ z8*Pc9N6DM%)%uYW!n96JgwDl<=$JAK4~l2HU$F?mGIAZLC_erN>1TriXzO@I^XpEA z%}hbHr_J=7{EY*PCEwiQnjtJFRI>5XW9-UvMDZ2j zqXpW%?;?oOi8}vXuL|zEXJ(R4ATq+z!)*z#QvHuoTR;7-h5_0}>jCcv0j*zv`5eOl zyE!EA{;!C)Et7r|9B-eW*!gJZ>1gBnI1oD6{QgeQAO9t$cvJ7feZV#=tf33<1z6*D z?tg_9FwNdS+&5?APgSitYCe$f{R%AnJUQQrsgbD>63QKqB&U%%HST~gMi?xX)j|@M zo>WXwzKCs#?9u^0u-kD93d+A7V0seq-^4?4LL)Yg5bzaS!vKY*jZ2NBq7F0GzrsBb zM6#27gCIM@1F41?PHlRhKf1ox9LNH^MMSRcsllRKGjc-RK}nFcg>esKlYcEui`|_e zAy5}}+Z-2w628G?JaC%nK)=(tLzbZ2PV+Ax8>7hNz6{2gKaDdhLY|9LF@^Jr)ybL`z8`bYm40X%2MAp5X%tWR$cP&tv^| ziGm!DC{Dl8oT^=kqNIB8zyhOXk|+6v^2flNT;w<5WWS(q=H4kWU{i_-wo`sq%Wy7f|0pbDQ|_xpTjjNaC4T|?1M6CW0;*hcfAFVm%LH` zf;_kPor^lz%p`Z&6T<)4X^!>%mKyTa{OSHk+7t|#aZWILycEG71W z{9O`1{nszB$kvCzI$Yib(B99R-(B!lRIvUG<+ffwVx_~wF(Itx#&t?l zc}U30)F+I(#iQdy|77*_LFoPLjQ5ek@S5Tcb2W7l{UEKrxSM|mC&+pvn>R3Ija5>< zbl9ylA_<5eLq@t&)>B?%JXHKZ4|aXl| z{?$2cThlKRef_nu!muM9y2gp$R0B0YYQ`5e9z1I)ch8n`TM{U`?}qCFXtr@K#9I*X zRwQTVdBWc2wiSu^vCkPKyrIwtMINqg9z{Gw&swt$Zsm5OSC<<9%HQzY{tTfr*cu5@ zTqp;-k!N373nkrPeJt0PLT0bXLx(HM@6qnx&A%s77Cll7rHyZ`ue)uW21ZeanoSbb z%dFs=>cf3g7lDb+2ep8O$h}S1z0JvxpmeQvvWx@NL6F$^St8VT^9QJ=hk_a^>FCB4 zH;;fbT;kF1nKWpz@!jD2^k9wjEa`?n$P-b~wL*NDp)$!KSJd#Dnz0frxWQ17km${k zX;BiXf)#N>gKD5<17q54yC=Z?WG$pH$C9S7q42-2DHG*jCUjZL-8fLcD8f{A8h?Y`HD9xXidJ zkUW+Bz-avBIEOlEgL*IPUW|(>QcfK=y9zkdT7CxZ$@ZX7k3&h%fWH(ET9<`wf`SJV z^$OY-JqZSa8W^2k1)_Wo%AMW;cjjQ=19Q4Ij7*(VAY4!Cm?3?flL{m!u)0nbYvMN5 z7@#-cEAEsDQ7QrH;q}-FN;7K47+)2-g`tpXO6IZC>9mK4Rs8P!MRajbcpo6h17To zY^>W%;gq}$F60aNcnH{Rq@>*LdL8X*u6kRkI%{(a`ugcWU)X%vxOm&R8$!Afs?Dov zzy9+~`Pt@tH`FJf^rastP0f@*tKC~lb^7me`jc7j9r^YdoIVw3U2+0{uwdG2nd`UE zJ(DATfA@2Tk`=Z<4IBc39RdoA+K2)iHla*0LL4}71^1dBzxoX_*w`(;0TZE$a7osP zC8br6#|Uqd>To4c=bkXx}pD8;pnCaZZV%JKZAadGUvBxnqp4c;vLE*t=@r_FOWbLYqa*URF#} zI#&|tQ|$kJaqzW~JOeL>b6Th2UnTwbB-cKT`YVHM%&&KbA8x<>i8F;o?r4Drlvnu& zpuu+Yg!i*#_$yVy)GDYKh(_GVhE;E+Kc1Xahuv*A-%LJW5RYOFmjQ)P8$bfl&IatRzd#;O~$ZI~~?P2dw=d{8o< zZKW1GOW}#OCk^<6A)4lG+gExh%~c|@{zLXwRjf1WgrnL_-RN333qBjUK4(ymi``DT zH2jGXc#1AS%^^%;Iw>bABsYwA{K(3l_?6^M@*XQK7S_Ti(D9cPv{I_s`{qC0YUwbj zp@IDYsOIT*-NarLPS$FX`6!NtFJBnmo8-QXpV%3Qq2|5Vr84R}Z{FK&?hCwbBdu2Y zpC9;7ya7|vwJ)Vr&!q@$o$hBDFD1FpC3gZrCP;`TYj1xI-+#U20$ZQ&?gF;4{Egq7 zx}c61ivbg3_W)#T{X3`EUxv>Vt7EZvoNHC@$5pMlPwBbK0Mz5xVy*hrhR0;Vr)10n zbJL}Vms3xQ^%8-QG4TO>Hld3-+h^=cEhp=#aQ-FmVpWi`nRdQ6XbK$KQr$UwZBQcR zWE&JDO3)hg3%7`LQjP_H9D1A5w6?IVP~$YnYjlJIMjb`JF(~sQrs~*$v-YG|GKzXu z=pOI$-wEYcN_F@tajdR5-=}0vyDr_vUBgR4u3*BvqWSKgL6$WB)K)P&@)qefx8HHt zCi5^#nSLbMIru%IdPKD#lknDNaEW-0ih{h+^jr>~GahKrVxdPH~k={GKQ ztt0V2Y4R^qPqhHHM7{eEPw%0ixiH;!pJIkLO)oXKU3=|urh>v?t(QbnB|xvV;TP_S zUZ}vd_nH}2r{z?ELPx1nseW`{`65P6K?gz_Nx}r`X9zV>&W|*>|5?z@L-p=q&pyu1 zZL15GvtF&BS6{1`!F@zJ?O#Y5`DQ`iB;1xmRiI+h3;J3g}+ZI|d%{OXs8 zaoCVs4zV>W(IL`xmI-ekB!Xg<@2FuP<)p?wcHEfG7B=W3GP`CN7I@fK$ zmzNU^825h+5AZyk_W*o^El(-DfrKv)GL5zay;lvG2-aPBg#Li}xyo(2u4}rArR&e< z@Vek@pJ4O6I?Hw%ESPn#rnByUYrvjq%VK2s4F!VlSq3xX)`4kM7I85>)?pjI*!NnX97nF zzYaK8qJBQVG7hbKrV@|LgCY+|*@DbX`%nG#`XX5_<{``>T~0TpIGt}mW}w>DEvD#M zC7gv(v&kWz$$f_A+I>In+<0MNNlj@wHt2r}ih>bOp{f)eF_iQRBNbWF%_vmjwrQ<4 zcH``62&kj=gEhR2nWXWME$v(z?Hr4i&?Kk1*>I{(F`@cTd^c0O&W!)V&Lh#Oq4&cS z)5h_Ybm-5m+|U^nLXJhuk?_=lPiTp+R}#ipxqCHgU9|?i^o;rQ@!txE?X(OGBfzf| z?oRV0beaB!=17E+9Qq`QA21*UU?B7Hq23fxD9tDa^#hHsD0x;fqNt2^jq^sCCbECP znP8RX-;Yln5SQn^R(@Sy8TQ=2sA|TS^2WQ&!?zp!?yF@-#G%z z;TK4A|H@!mNbSH8q&x6l@3QGQ3)4R^PD%Fe)7^Yt2w(1>I+?g`dyovcmHbESc>y*% zBN@!INEi>&o~|neJt~j2Q{{N(Kl}~%<`Wd`>g;R`c)I?3chKfXoMQT;W$+V@p{u^N z3*1*;+^xraw#zqSt=vO=j)2C2iMC}U$3H=E$O3{oz zVTeL6H>Gq`F*1pV0EvlIg9f)o&24E=$J+E<{}wMeUH3iUkl&GwpIBRd9Xt!eQpHh8 zk`$zZX@Cu2@w2?(XdXq;0T>^l&b&mC92@EuCdd>LajPy~m)%@+-uU;d`T2^N`6rC^YMq$sfqL@#TTV3F-w+A$Nh4-{n^HH8qqY100a}h+Bre z%*5$pxvwD*y2+OK+UgOt16Kp79zbQmx9Ai1l&gf(m+Vz#0H@#?r_Q;VSgCV|Z0chN zC)ER}T9GkFl&3v1Xdu5;L8~*JNAv96{xDL3PC92|2X(BX=~jA&tsH)v$I$om~yX0~OBL1 z80ktQMKW=0$uRPu(~V`@mK1Sj0Fza|1ve=Sdh1EZiqvw&7Vl8rMl^unqbJ0X>jfa+5@5TU{QDuh=g5C2aWGFk@%oPO>pMmx^z9O^b-?>O&|g7#@uP0R@rvVS9; zUA#_QG$Z+6hMW_9ToElU2QQzyy>4DJZ0`7<4*8FLT~^llB1FCAgzdE;{DO7(0E7zM zoD0713ZD8(3tQAhf<6Iao^l@}b3M&&dLCo($hSti>B2~Ioa$cB-AyONZYXfBiZIlR zCOKYzc!vrJ4&*-nW+%tUpn6Z?5sHD84AIT8+iUP+7~n=9Wuh!n>B)j^-ofuC#iOkz z*iLNcpF(FvzW=p*Ho>rfg=r-9(Hm&PA<@zg`b?V=XS^Avud(-B`yTYrt$Y(GVB30E z=PL8PlhrES|Ab&+kt^)3uNujBQphLgf$vniTk!UOvs}-5!aPL|v>klpD1SJ`_TzU zjYC->|f`q($8x#7rt`BU3`I)@c%?k?FU;3)6VQA$l4YXfemc?wKuwwmdVU zsP}wBFAgepvc3^Aaa3eFGeleWmVt23*?rd&|2PDNr4B_VDKX~hXraUaJ$-|T2TGX1 z`&j)6aYMe+7R=WV`<{)x@N&qwu#XYS?aktd~A35Ca-dd6Qe; zhk)+jm06Vh>&Ot$VIe7;pAnRXc zLDXC5m@MF$Du88g#z$8!hNI@8zsN_;J-QcV#3?G)I^X%8EX-ui>^S08W@L-!a* zhq592yNg0=Ltq?5kQTZ<`wLw)`zW6ik(3m#e$$o+tO`g5M`>%xVhuT~0p0VQ6diZW z*cGBo)jDNWz-E4th@-#n=|s?ma-ii6#<M<+s!Q48|AjTiiX3J!}4`CWdncq z^J1bBJwJL+9!%)C?Y(bSRZg#e)x3kzVv+tF{P;55GtaR=%R{Rxway99O*xaoyCade zr^YQ>f>!h6?4RPkQRTm37`kh?iW@4!FQ$}a(p>OiK=~}sn8JmdWPJU&lbk~ni!~s= z&EC>Y2Dx$l`$N~+!)iV@sQ8=D<4?Cn5oQZf_1s*f{o*br?I=ok-T@bvn2 zA@8OeHdBCF0uY0zPS|XF@^wC`N&2ls{QwnZWp06I*u5bfHsAzyojsfY*&UThI-HJ%lc_H4I*MJS#Xp2{!Wl&Pve19S2RTm2pf3PDuWJoY zJCvu(`I_@y$iLX6=*re;g!c-Gg$yzQA};g0%G3ihcV3J9w}AuEwgG028Igo;1i3$S zY2q)wFn?K(vwe)rU^%$={?i>qe+BcxAGAy>`b@G@^^zZxZxojv???huU`nkiJ<*>n zD5vXu!@Ub8sJIFt@J3IMVF{u!p@uhQ8HJI!B)!jL-lruhtBzHrQbmFO1fo*aeKYu4 zaT+FyNuRcsc9#OUX;&Krb(p-g?JglZp@FQ3AXUVW8`!prIIb`QDwJ)03@+lViQ6OyFn#mTWCIzJ?4 zP=Qn}@-vkj$3)bfR5VeeMNS;fTE4^m9jou7opp-l%js5fFLj^NG~aKSMR2{L z4Muie-RdD2Q}l0@M=h&dPln{|MpSj46`&HBk1}jSIBLGr=iisSrGU`cD3}u!j!+IU z2$w=q5)jTP5u*sjQM)?&{FP55G0AWZZvDzT>>%CF{DCm);@lsGgp)f{2**!7- zQ~(>-klZAB;YyRfW7bR-R@^xktK;#uDHIy>=qp;;!{{&e8VoGYfEHD2iUtV3ikQmeLp35}s=#Uw30 zx(uP$%meFem=ctk=a`ih!I5a3f+dYp8wpX~db8i`>69C@cu?2Yd`=w-%=6Sc$X>Vt zOqOlJHl8yv)yV79>FRgcDiG^8O{L}3%+=L&qR#XsI&*|sISgQ#2C=N|)TWlVE@l%Z zVl(kcC7hRAkp8~w{Er^;6G-t8nDI2*3+Sou@sr32bcl% zZmVlp+;!BBLiMgts+tXnvH@~=Z7OVpFHZ&Yx*&uYK!GC%47Z*-bOsYrv5b7(o-A?J z7xnG7Jj$n$lS!s@6Zi>R=%Ji~b_5a`WgezI{QIFP4WSMl?B5-TuBFTdSvue=YgDR4 z3MJU16F-GN1_W({kzMAa#6y`VcxNDVPnJ#XreD_UppPH6tuzW~zj(2Kp!?*@sdhf1 zO!A~h1N+BDCdBIcLxdEBJ$>Dli3mq*(b1Zyp;w$lxeW(08(m*vQ{}~FY)Ck4!ba_BT)+8oX;e4FBwgwHt8?&URT`&`Mcy;y*fZI- zsx~L;Q{{R(?&8Z`p$+l%w;D-b-BYhrx8T)vk^0y7i%t_ebw`avE6Ta?>TQK=oBHfU zeslNghLx|oOxsVGw>rLGFX~f$BU*T*43$(T;Q{Z>QCIS>15`Ecj1R!mNcus(a_me;e{~RGIrSnWHYGd^B{8 zDjnx$PwLAQDl;FJu1w}T5u9FxKbrjHfDaa1oa2{#bO(fI<*T2M>akG^VSVaUoJmO^ zg}nhvY9uJrQC9ioLgL2kBXJp#d@=7z8Me z*B+YTgGkLuAOq&Y8KP@Ms2;?z(?v)v(5r-ASgIya7Csal6kY z;U#upuAbO-LIGA5ZyEjMCxS8aX1)cdGRe!P3 zEJ=g)o~qS}heh}>-}oIVe`r2u0uYRtN;?UBgabNJnlmO!zUL9bL5R<$$vXYOEXFM| z0T)u=Wp;1^Km9&`cV4-ob`#pWc(XWYoKe&S^W!l<&zlgQrZKQv*0Vy>*nt}Gtn;RV z!W+K5pJTvcxtnJ65nhb+T)iH#A@kM+yu4~yHWfbC^?IG2{R%8vCzQSFv@Kn4m*?ht zf`z`aVnH4x)`-{A)zOG?Tp*C)wQI^oETk~4-1%F03YAG#=sm)ebD;=oE96`^nQ4ZN z%(Tl$bO_r;`DK~jA_0h8j&67v7I|~ewcvoVbHP)bAH(Gz?O8o!KQmb8yvsRvRBUnF zHUyWPaJ%XxQUju-BXr$6Cslc#MFr(mwQm6%i-^fLh7iXB=BB)4r8iK?m!;3af4=-H z0kLcWb=}u~UOwEL2(nbd|B_-B^3qW}mpi^Wen%{V^a;1M1u)V;4StfripQwff)i3a z{t593F*Z%h%e8Xl(WeaMV%X_=NSOyD-KLqnaa;1yqXO2>{uOuqeY!U< zV1LGUFb8k%kKcAgqg>Gjoiq)Z!Y?Tpd6|+wZ%cI9jAi}abN_8W=KLG|EUfGx3=KSv z#>*jEmOPn;9nu^y=4e{~%?~9;96pvrYWd8~h7^!zc=4Q+twciaL{a_}1#}fc1X^*i z|F+IP%le_OS8+lJ=#94Lxs@dA;Er=w7TE_4IW$PEDL@6Vr`8z}e^Hiu8Uh}$&rrw| zXk8xLQ4x3P2z3DVVrCTz>Wr`fS|&=_X#02YLIOPrV}SQO%E zKFU#@=;Hd?_7P2lCtoVNyb94Hi8Fv^_Uwk08p@MbU-p1G=qN37oL7&Y0jZyJzY3-- z-mU*rGAJ=6?4GVB5u^EbNZ+Q^{E)dS@WU%91I+@&y7tJLgkF>G5BN>c>(K|w)nTu^ z#nCLOkz3%S)m(yBx+NZk;Qr?p&CA`5l(qkUUXirQtR&a~kU*S96J~~8^MsCg6=Re% zdUr**4Ay(o1W|NAO1B3+lC-#|iSIDxd@5p<&FKD>p<#@W#l*rPi3a-AC>jfkiI2To z+XWVuLda(k1F4F&?iZatIU*PRGHl|&%@U`beZvMdXzYq)=bcsuJWp}umQ?vZ6LhgP zP{j1>=|6mb-*%W<+Otj&+zKg#5ti$^@24GyD!oqxVd77HykflgPg|P`YK^m{o0L5Z zTy@Xze{hsFD?+w z#YcbM^ar#4*!bw(=pUS`e@2lEjIKdyPb*Q|a&(vgWwOkJ8ytX!cJfBXy|p)9af|Qq z^8_3iAASWABD4THIBjzf5M$XNOZl@;R%+>K{4^6-Bgv9rA~UYT+CU|-jLZ;9mI>~= zoUYKt-!<_jAR>>@r~0<4gK;*-^iKs6e$CLpdQ}mT;@`yopu}=)hD!)tM4D7}X?TIy z)E6TH>}hP!*(a1-Q1Z^wAWoMQ`Y&ZRbFFbzXx|rC7f(cnMId6=XfrVIrXxHgbpOcS zuq9f?w5Jmpa@~`-snOyZe@-pt%W^0a(v+?_apJ`q8q-|d(uKYo1q9zyuRaOzt$C2( z$lBAtnWh5dn7qa%YcVlK`Dmv`?XQ$>n9aR%J6qCJP`-c)Gq_1enk!BlV!zaSDfd4u z$6w|Je;+t9RjcG>f3#E?kWNMA$ETnPR6w{Fu(cV$ z(;sCh^)1V0VucY{(Ph7J_L8pm!JN#Y3;*Z06!A}}U~QfvD>BF!V(IzzmKG4$hD-+_$rd{MpH7hR9UHsRH1zB7V<&!2#fE5FeWtj|&F>7JWnN75+ zC;|n>&6_5pwo#JIwIHwY4h(~cm@+;IX9hFOf77U-jXw&hr1j70R-VCc&ATU#Mi`>V z>;9a>^dO*5H|OB18{>uGc`Q5Plm*Mg^w&WA;_M-bCN?q?A3FznxKM@*pHO&Hc^vZt z-0=t+*Uf#H#6Q3Na$Pc=v)}4Kzd5^TQ%0TTs=9G(N=|Jm-(V26Q90)w&4yT`@EHK&wWV6X-+mFclPk^0A9kP#bci$SSRxACR324Ll=V@~%(VBvf5(Sa#&H)2fVBrm4Bd-` zX2=_JxqFmo=_Ti%uhJF#E%A7?{z(1KeuKs5F01O>Py15egSz&EPTv3JqaSq6 ze&(88#b0($!doMVp=zoOldCkTqcqt5TG>a_CXhJ$8+IDMAtzJ7|84HX4!K zg7E0MY(@?D_6ZBn-*Sh^!Q-NfBIrYJIL}>nvBOmkysK{jpp+ESGY(@woR7hPt2D3z8>>tildLRcIPPi^p@6QYYdF z6``!kefsWcU&JJ0;^cTtMO+fJX9P7pUMQP4mmoo7Zdn2Ge(B=13G}NC zy_MER@cbIdBgrwBtuDp(*_zAuKMpSQypBH{{K+Al|1#y7Os-?frc zv)neIgWl@YxvQdIUS+v9$AX6U1Jo?ikSnbkCT~VXgPQulC2;UwOQ-Dmt;<$1wG`Fy zgoNZv`;d!N4!ID_t42X|k|RoS{IhGO?(63)!r_tNS7+c7PCa>>VRS%*#-lcy?U(Jl zbu)7FPw%=;i63E7u~}`*Rv3^KosH^$ID|0bqcF|jEn*WAJ7gH1UtQ4l0J+7BzmeGs z#Sfr$)Cfs}#IJ2m8R&x$C|Pc~=ySJqbc~YHPbjh3v1Y6u$&2dz<)}$pMHG9c*1&c9 z-*)L`>;+HO$2_t1&-+Gcy8DIsOtCF_LC)vbxiiqNnApSEVm0YZId)*qXc0@lao#q# zpG4I|0-HHar%HGciEC64UA75FzC6EVw=wPqOO-%X+ll0!Mz^51E zJ-rtRtdgi08m9KkqA@&KV)k7y!groFYII10!M@c0%4y6LD)QI_@As!TWPpfj#5Loe zJu#PJ&I!gC{ux!76Re>dzw4R+f^scKyRwj3F)UaNo^iv&NOR1OCP2UUxO?-&T{cSa zI9Vv*rP&kg0G-t4hxYUm6TDCRQOMgE0}qRq6BV;&`XkPPE;?@=HniMDvpI(tD%1}_ z6NhTV0GUfXVm~QPegE-Tis0pYiE`w(-Mh2SgyGFAgDU=Imiz36r&*l$)6%i-A z`)I3E_OS|}3~6uL`Z1EVMjIO_ZojedWW$p1PtE6T-;EMTsf}`c#rT(2=Pc|7T>lQL zV+aQi?@I_`oQYqJuGfX`NMR8JW_UJ2VDVmp)F_)uhC=}QwT*u@M4IDhA|NbyPAHzF zs8mNPzYhZtVXyM8T8B1H=lFwCai_eCSTHRrS#(QT_KS(+-KtfS&x#|t+BqA{Xmuzx zZrM4K?4Z4&e_E5j?a4W-RAaT0g>Yu7`RN50RAH!NdOiIT8vV6ErMm!Lj?D>8UY#86 z7ZGU0U5Mq&N5P0oK*Je*K}T#eWX*(fsm`b_jw9;uz})aE4_2~>@TY%P-W`7mKEP%* zCIPh7v(YlH^Z)eXBUmcppib|M&&Qx_I3vIC{$wTY@c`}h`~vFDJbO3jt4P)v;{e;|MGKSm(Xdx{%THny~$ zZ44YqxH1+ej@o|Ygl;D_qfp?Y8hsAuG#{xBuR2a|<3k{j-YM^D5g?dZ=fpKhq3iY0 zcSUH06wzyEIH`#morL$31TzRfRVkE~j2b5gCy8eUKgN@sqwy*g%N1`)#-mTnil3BG zi9JL#H|)O{Pm<1H-}b0wO-`=wOJ4m?+@yc7Rm=gtu_qIK(k9zGgZrPUOigZ z>xxJ5ONEKhT&9hKhwV1F2C>x4btmy}5&E90Q03+w=r7;G^Q%+*Z~sEtjjsW)&mXM` zFs#oL#M;7JX`14VBAIz=a`j)G{PM-1U$m711`a~XVYQ>e^RYfPh(w|8PVtod_^?<7 z=dphM_k|xQs+5(FF{w#b(#*rb3JHTKwsf10+VQO-5_mAp%16S4 zFzn^nTL22bk8!7L(uQk=e0f8ajj*G-ltsrtLBT>+7bexubM+pjBd#}g_Qif~_l{0X zJU!Hr`l3Fs7R)X0hZjoz$C>sWBHgI8lUG|xbK5|D!@2d4*bK{7n}y6|ez5tjCaS;uIZ zwAKv#c@b(MAZLWak;EcV1QDIfcdE*LbX(q=t|lB@Q{+pqy}I6tA2Re_=?s5*T7X)G`zDBv&68X*ApU&9QL(_DU>I%F@*+k_#aRANwJ| zr#3}qWykLp7AbBHJZYA95tUZ5S9xKl*vwG^viXFSklM6#`{Ktsyo==-8(SmVh$Rzh zXTX2FqyK1OPl`b}4vdrdsaQ-W>OlZhO5>NdfkfgrPoS-b&ImW_efD ztY4ND_GC&@huu~o7P?cOp*$yXi<)|r-kNm@*NXlsd$p&v=keNjE6Uc#^5(qJL?RYt zrop%+(MT{Fsedj6=8qC@A9EgO(I2$I>ks=TVvX0D%dZar{yg$XUn&SB@<wAX)_3_r6ubV|u&M#^%#|NY55?Y-{@>`L3G{2>nn7AD)S()L5-0#wkwYyJ zV^$janjUn^33lJ0&-i*C$5MZEBT9SBnp~}($>sP}*fJ)^H=n`=Mbrs;u&<2i;1-HE zGT-MC#{5f#x%)C+Xof(r6?a8Dz4XPQfB_YaIsoP2<*NkGN^@`P&vCiSUn&BMx-p0o z&Kq+fk=8g)zNDywU{hi$O?n2N`uy%X$)Qg;HuVGV8?mmMk+N7VYKAvrSTo#+6XydfuWx}asq{AN!k2gTT;mfCk<*O5|P%g?{W&mg= zQl|xd#vP&V8QcPG>Tfqw%sb}(_JITXIh}ivRQXa*|6GbpjiF`WCw$((^tGK7z5R*1 zHzA-laP)st*S}WnMJ4>$B)=jxLHg3bHj^<7fcWvxn7T@MQhb<_OUuArp&NmwiiVkY z411Fnhs6sYJ;=Lv@t0^^!l{PtfCK#;qjzbx?%JYuPQd&*ViMxR4|Kd=8MsE}2e!f^ ze@9nzAr4$!LP1pR)Irq>8}y7>Exub`cEzz3rT^~k=QCuddEk6hGzE*-NUEz(u=n^m^O*c zk!XoGD>kdm=47Rl6_C=vN|h0NRAI-?8Q+ft>KTMfC~?IY3n>Wx&5RZmaa>P|R|}LH zIK$RS{e&?44$(VPJb_sfQ(FLzT(e2w^a#}v% z((nAK;ZZy%CLM%3@LTt@{Q!nQ%Qcg|d4ln{n_6e$n;fEAEnfm>PZ6YdKM+}268lkc zrGL|~V-g5?F&Q`cbp*I9wcekR68Mw~eQFmLt>6Ez5T_ei1_DYnThDlLr&0!j5C!i5 z0?dXz1F8+Eu!9#8ev{qr7*FZazmL$^Dx{rZqv2`HNStmdkQYb=mE#}NWAL!SpQ*j= znn2RuHGxdkVky5g)8ZblnFnV=Q+TwMydoN^AnQ?CimP_lj*qe@vOs+wrX~N9ohTwQ z=Dv>;vT!HCx3(AyCba$PoV^A2)Om-YL5QY~jj&ZPn&2RP5HYN6t!Y$m$@D_j13HLjs0u@<<>hzAcT(s`{KhA8obeXU@-zH z71;kouc;5-3Si^UfV?6;|7O3p3;&TMb|5e za^>bnz?E5BKjH8y*WvW>mgbD;4^JL5FKNR>lnOEkI(%Y(9`(<14fOZFj&Hc4k8EGK zO2>NFFFh;umTfxa)o#oy)?IwFO?Dh2XI`uCrA4tv5yOhCF6i=l-|V|(W1b}M1$MYG zluo5#Z9~l_{W%*TIz{h_i+?%)y~fKf5cfDL=6bDRVmV#!Hr;9EJR`)_O;}v@yEa4q z^#6-3kndYN5a~QknSKcU))xRkumt}QBmev>J%JlYgi`Y{$j|k)eMbFet5;jrYh$4< zR4O9y__?GMXn;DBsXG5dp_FBY7g+}9^F`enmM<=}#SQ#%hJV^rcfa1!%t}k}Hi`3z zjG{}(|K$6C)~M55Nu@>{_=X&Mg{e#&r6<(qHKwrrL()Xpz=Ej$EtC=rl7HIrL3nim zJ(`WDyOW708m+&M+=>Mq>|N)c$h*R?iI;X0ZaGM+M^vu5BJjtvdLyS{Uq{$iWWU8%-pon*42hQ+pcrH;8&u%1vcCs&a_ zLTd!ZL_5(|q-J0D_Uu=}Kk}V_ewJOrlzZM-E8ZyJ0Z*;VrQUpzEk7k9<1UA$EF&mfNAdb-LxN{`n ziEhqo#uRU`g)4Dd&89y8UmM{8_^Uz&iY}dPZAuYnMNvrKGH06xp^uO=yLsQ5Nq*jt zgV)ou*mO40hKhii(VLu!26^avArW?gc+x+RzA1cLzz`Bj?PP*ei2>P5Qi~CM#J5ag z6l&dLd38vq+PaWQ!uXh>w(-s{3RNv50x4800p>V21I_VaNWQ`&3WgA|GO(97Q{Jv< zVfx}IfLrA7@*|reUc4_SO2oC>XQv>%v7HoS$<($3w`6r*yTK5yc(=L{Iq2JyAoxvi9Ml+~A zvzgerpnj6fny85TKTOtFwU(8pkx5Eek*}G7LFrnCj^+kil@B=!SmR9PuSUUo zxTzU!mi|i=24W#r+h-X>ANAKrdzIxf<1N2J7NWm~+y9tu7yiEV2D3dwe?3}E zS|U3v_^`jv`Y9LfG#LcYm@#o$9MhO%HC11+2_Al=fpjDbar8$m~nG?tNm- z@@9cPmp&dFT7nHG;>D~VGsMgpIV4-`#6C@+sZ3h#OETTYIdhe;9aJR78K#MJ+ZQ!>bPwe8m0Qan~+X>_|<)1LlPe9n=sD=CPKzV=GC5|ZKL z)ZCntmX1-Vu~+o(wl)ppyHHx z433$}&>2AeAKd+qTzM1~7y_EBkQ)`~VSDntTZoOOD#ik^k)5c`&a$Kxk9|cVM|y2C zapqh8lQJb?^^((Y!%q_0r5ob`k6@3+Lp7#mt=ZyJW*CeaSM{!I(!q9zpP8IRuU0c(rREI5?{l;HLCS*S z7VvXXi9Y#Po;7c`G7QxN2a8wN0_acpQPIooT%>_dQNV_&-?ZJknmSePcuU<|$%e^S z89(qS8YgUR#3LQIBzh?Hc7N18@VjgC`A|Wqaws-L-JDIh67Y* zwZhtcS9O{!3kK}_5_L7e$cyG4Go1<`xPlv`^^p38Q%>0yDz5eU-Fje#iaqs{7N?W% zslC3&V>ANW@ej&ASUXQtdw;rjNV=#M2K`iC=)uvS59*oDO3NeiU{8JK^3kjK5zou8 zN%55!y>V=vUfC!0p9dwlIQ~+om_9Z4z&EG{E0@i`kh|!=Ad6pelR90mTr!5#N=~|k z?p=w-R$b5j>wzY9Z#pNk)hRU0hMp&N5&jv&Drm`IR*92AQQ`)wCIIw;Lu-o2<8Fi- zDy9kV!8D+!Q`5gV{@I$bo>LHfJo^E<+aT}f%uXt_?dU23wz3NzBe^I=kL2o8hJZ?E)i7AulPe+JIi6i zJS>#rgL-!vFltz;f$6G2mj89P%V#w&xp4)Rq$N5cICU*l_LVz9+XwO=mcpsj0z{U2 zt*?GClDM=P66f>TX|cPa`1iKbWu+}*6DXoMHHv}+8u7KVe}s_0l;uE$S;BD{fl5PJ zZCG&`ac2B?XgCcUK~11H5TTX?IaH<$FI(LngG}g0~pkG(LKh8iieUP+Z;m5U?iry_N>lQDiN`kY?7OgWS_khcSqXj46 zS$d})WnyRjq?16aaS^J>UUi^*f#*q(L5%gs-{cYZ{VViTU=}{}!JOKs12s4Xy>=(o zdu?k&0c$hYsqUv+bzD*y$Pv0h@T>ZahC}4nEnM5QAp(cbR$gLo)5og^Nyi_6<=9=FG_?eNNcWu zVM+*0Oi!*w$}UDOf@`#>Iv`FDdUl!Xq|Y=uP!67Y5>|5oFa<;24S@u+w%hVC=ZiSy zD$BrMtfaPczPxopnfx4QR^$!znY*VV`PIM|^Oh&Yz5PShqaRCaMU z7ifu3zJWwO?uZWzmPb+|wBQ8`bWA2Lc8{hSWU8594GG=+rFvMd zUK*;PV;#zsqTNx54L#|Kp3bqAnu}qQZb?nUm6ciy|0G|W1V^sPNTP-=6OU-yTWw6M zkdREYncHtx08AeS#tB{uVd1UFq4NwOO#IhByAu? z)^9Vq%+9?(e_1j~aeOt?%^=wufDvl5M~3(}N;41sgu7vEl5t%LHeSz@;2+7KZ~qmJ zBaN<-w4z#wMyz~G{pCOTF6#Vr`D&!Tk69CB&NU-#NU{=90>CI`f0{w{wnJWryTz1B zuq@>xx?U8s6OIi0BiUTx(vFh_HH#PpbHvC|UXxDA%QxL6%+Zo$$6qODWo*-5S`3Ev z3+JI8XrV}h?q=imSFJhh2(ciPV^JMPQ-X>M0shsR(#;=t0Ilr&=~ZEo#IVju16KXcJN|4~{h*#aekG zHOM)0sMq$jHrZtUxi+kzTb7UN<_?HV?eQL@7qpCYjcMc*sCWZgN%el!%$sIU)7?$d zMy4bVt7)^^p&(AFq?tUlC$6HLA&dqthh9?0B-bkPGn2=nV_Gh#SGbt_U3qVcq*ssz zX^mFQD5MK_@HT<;xwzxL+6TOosRa&Ypj6(;vYaufE##`f+}XdjUkzr4vu~L6G&%oe3{y%lQmyODT{M*SG-yFb!pvigu{r)YNVx)+WsMY_gAHtX+yM;=Ky449yW9;xN9 zxEUI}9^juJYFvrYLRaFulDm}B(tPW`N`-j)-QCtcO5HDkUuSgpC(ptM;k z3X#G5uX>pHIP9xEzn{mp#J8W5G+F-VKi)epXrXK_%pp~51hkEzp;MhB<%$^{elF9b z6O#?M!3Vqnx^F7jc~S3enbIRyq9QH7F|c~7H9zCbjT|Y~<J-WW6(yVP$mE<(#P zF2f2A9CnsXFBiuMO9=R3w#Zb%==jwXd9Ygb38m$9iP(>O7V%lvCK^zT3dP+o3;B3s zp5=PiU2z)h5{)#Fg%W9r63|DII+x_e`)4kqKwJ9fc^@dh@*h29aDH`HCaP?Q^;6E? zz61JFiwjGlIje(zLl83HaO0$}h=O33K#XEnH#Nc1YJWfK!d8i}f9bI|`; z=+9~W`)TPz;|@(e_kQ}KEpNQ3)R_s2W&AW*+ZNZR11qsTuAid6C2UH01t-+(<`UfC zRr*!uPj8T@c%faY!9X{*i{*m=SQ||6wS+&R;YXMo!}^coYv0jr>50T$B3hy7;rvYz z^V)pGuEf>@q&;5jLh(?iUgzXTv}_m!t(^J}VKMOYgH&M2(>AsX5_Rp_eGNp$hrVrK zNSy$n@#DA>1tBT;`+;PfSXEbKM}hhGl^(}?9x=VOnKyktQMo@{UxxPm_cST>p_;Tb zDA}xrX0D@#NR_Nd%)d;9o8xFz?VaQKmIhj}J)`2VN=!`T)Ds8@^R1b-{fNff1Kkmf zV;mJQh$E0;4)!IEg~@=`zo6te!D*P|*ZcH#DaMObWMxlv6J-&yz$jt(yEngzwF65q z+cKwmum%kB^bJ*~hjwYwAC1jVs^5=tAlz{S|4i`FSqS->@J)%K+6Iys@az|ghO3)p z?O=ETO88(_8HyN%la!4ngoDt>yEeQsWkiGyaYqZi3NvOTn6eari6X$*^{ zrS(Zq`%fkQ%w;7&4$}Rt+#4YnCpEQ0{BXLKqkp2LCLfmQIn4{0r+jD%j~LFjGMJO zG?Szy_iVGev%6HZf}3Ao{Z9sO{~&A@J=^Y!HnVPManKAnazO+XGZxC6Po7%geA5UWt9$;#JV5VdZswZ55p3MW z<@fr(B*(^v6RXIMdt_nhX&7_v<4W9c9B;M{@gf^CHT|g zWPfI@-dmv7oVu}I=S_T+E+Xln?~;MbQnu~8&nvq!;=MTzf?4h-0;AZtMv-sgVJumO zq+aq%rHrqie^N0Y79V*c|FntP4-5g0S7-7)xj#dyh1w3;wZlEwrt|I;9x?2!f9(Po zd_L1a9I)N*ZMwzlWbcC4Hnnfm$P{3ui>ZTpJHb&v#B;Y*A&72!Z5ed7$g$k8LpMM>TaQfA1N35q5>a_TGDsX>*}eZXIl&9?KJ!J#aiVTd z5dr3Qj-Bo{A(YI7P&Cjb?WYZcmJC{x3pG)VmYU7*S7LzTAe67;BEhZm%8lw5G;Jzd zPQF?rY~8twbH4SpTT+il6VZ+P50N1zJhHGh#MznA+%12D-G{alaZ(5{ODn<$+reSs z$+x+!qK^f>45 zHa}>d2+*hH^CwR(Z<^qlCW5Q zxP0YZOg?LouxA~bnXVmHfSqVgEOdCGSi|EIi& zz=-*(w*}J5_ZPnk0 z+6mvKm_l;)>21UnEuV)n^}6JhX9yB!I!8pM4-z37&|c-K)m5-hs6oFrt3Z|{rd2W2s??s9_Z zCv`;>SQ)aLq45ByAz|=PZBD_a+DwDSASSX_z9y784oyRiQpn7oWNT|cua}g^m`&Zd z0tCc+_hJoxIis(vl9<2a0M#P4bTJ}^f-`1mvo+nV4zNj9v(u}J;02gI}%*+ zTHJv`g#6W)Er3o4#`6v{J`5{}mMbompe&Ngn&ivL0B)4zM5w$I>@QleT~>5z-=C*( zkK9X^7xclqrf>r^!YREah#56TsNor8nUH0-P3bcQC*xQ!eQ-D8q-BHFTt}##A9$%y zn=*bxD?Bo>BxRh*9;ItY~Pxr;$d5Ys*#6KqQDizj%Br#Pm#?y)VCjP z)6(@`WfVw#)ItauBd91%wt8D}nuW!?2t-Y5@r6RSMclgGKra^FgKg;Bf|sHyHO_qS zL#6)F2{Ud2AAg%P4W>cr>2^GCU|zQkq})si3H?P}3ne8jW(<4K^5MSUhE~s#7nS1( zkrYG@EYspobgtLC5BipCWidM1PijesdJ-s7$rtYLtUJ@ZJ%ldF4Q8 zrS-E+BCQt9x63g$RwGjGaXSWjrRmr0pP*JtM&Z?pu5Z+`cklS1nXQ;-RMZ?dZ~Fh- zAyQHx83SwTFLhZ8H$GE{vRViOfH$3eFTOQU{UqaK2$IHN)L&Q|&!0X%Me7)+YyU^b z8h4G1h1T40lqm((cSW=pN;%^V?`)iOv9XCWJE<)uzOl=Ydd;G+n)kvnyb@k`ubSrH zS`?!Kt!1BGVZ7*uBnsRVsfK$R7q0o$W5VGhgLsXZV*WH3Cb)HX!j;1Ehx zkWt6NUPRf_J?r<-A*NsunP;YHy>n;WH*5RjdmOhWHy*fZ_+gL_PeqgVFkx+W2|%(? z_xN^HsIEV6-4Ndhu>^Q#WW!lQAL$g7LAWa#^wz$RZj3wjRrOARiUT@p{9zS3(y*Sc zI2Qy+E4A&0-n=>c)tS?PU0$jGNN3LM%t)VMbEs89RJ17)YZEKhwJ~agq4wR5Je20& zp674yP1vavy_Oaiv)UvvhB@jhav#d^x%`GmO4)=b(1G+o^-WmM7W%*om=I#?MzvUk#%7<}NgJoFC~f>HPi;@rSALG+}UL`HpN=Fy+IsUy}FcC+lOs5 zkHqV2K2vI#FL#_e7n&33B$LqRZ#C9%nH^O>A}kVBQ`#K*FIDP6K)WdNqD`F{VXSDrY)& z0`#MOyO~R>IiIOOMdxI=WuLSF9OkE>t{)9P+K=~$kM|(>$Gr&c9m$Q3K1}+)70Ruj zg=HQg$VM44e>wAcx?ct6?^8TgU1>ZDSo3pNA#n&0&w56B5HSw?%@z4w5F9xtH}tAD z?-9Kri+E942N5ZU*_iF|30#uL2kryIdhH z9>f~0EWwZVCDBjUsqK9fg6waso(w)2w9c=uOnx`w3A#2Dq#q_ID3Ypo z*CQ(9YJf9oRoz7=<$&}vkJ0Ymz&3x#c>4g#?8&t_?ZJgbW~bL$-5F4ApD)P2{EF>s z<~F7Cm;CgEs<*R8ML+CpXhJ6-d#?kfTfZ)1E&F71C?d98MJD^3RbIP3nG#!ep>P;} z{^WS3Js|D0h{f7pm9m|Q06*8E<`*sw$(wwXBmyz5V-^m8M#!Hd=%QXV55=LZ0&)Wd zm)d@H{->J#i>mtqVBIFonDNtGyy;u2b>F-Jec|`NzX}+6 z#*>0B@;P1EfQDNI(ANm9n9gyx?X zCFK9y#RkG|oKd{gFwzP93TA2!jo*S-*=pBwRU7auqX`m-RbB26*WV=X*;G)v{bZ6B zR|BIX(zAGxTS_Q>LSp@MoOL*9oZW2qboK9XV!*2abq3Z*fLjz39s&r zP{pyE7E9d3@x%Uq+sL6l)RpHNbXyP^6kw#6 zdE&!`K@uy(fd2pSbe2(VM#~ybf@^WN;_hCcI0b^c6nA$h8mzb!cY?cHad&rV@fMfj z1q!|CJ@?!-YbE)ctjzxQyfgE>6ARs7XwDA?8UQ~qJoETbFe!h3n8zu^prUPx%fN>6 zqNNUVA(hLs%hj6rw}br>i%XF@99bBfj=d_$=xtZCoJ+mLp7BC-QY~#uK6gb%eN{p( zSX~Oi9}kH7BZb%Gf`iK8T~npyN_yEh`St0z<&SHzo3uDk^W`psOp|8^sAcLn8B^e! zqs{b?uw`DZIlZ^_Iw}KVBN_WMI08g4l?(IJEGP9k)^t+!4g*A@)HYG<6w^mOf<;Ix zPES0#PmqFGcf%RqlqacGbB6Xu6s^|u`&P~bAqrr)eD1X@Q5XwETnO$o&9D~LM6k!! z>icFC#6C9y&?g*X%4DqAsI{{D^=H#L_)-y3JN9ejGH=gjmbRV>=DAC)chk8@QWZ(J zuSV-v%SP?ab=h9apByui4>d?g)vNCSV`d&+dnq3)^HSu?ep(4}AY|p@*?(99Ay-

    GWUPl;`| zntqoVA1d{RXXR6?2m;gYPZrxtD4kd`hFHwuO#AN`W0zeG6@&Z&2elxW<lBpkHUyMsZ6DxtSEhFI~Z2c z{Y?;@!1tPJPxgj#x+Oa{_RviB0Qs+{p@PQPd#%zN7$4;lpRRPjrVfdgC5wxTC;!es zwPg#0y1d%x5p9cgN{qbeZ2C9r|IUTJhTFa#VA$w_!7CKzVH1o54`SEaa*0_MpxVN+ zG-p%zb^CQ3y$Io3t&GK1gYr@68(pY)yiFsN6rhruIi+x3Tci5pacT`;;9cNw#^=zs zYnRKZ*pG-ikG#p3#Pk^6z)u-!j*WINh)}srnA$_^*X}b9h*OGjeAYBs<4)}}LqR10 zTgtR>=o--?jL%Z;8}|)&FfIe;=a69vgsr6&Ja!NK?W=o4(Q=fAH!=-Dk5q@ zH@)c7N+Hdyz>qh8sy**m!@-me8a--B(%H+l66o5@3becwXAFCSKiWV7z_TA@Tk5y~cbty-<_s+c%i<&3hilt6 zX$m@CI^X*vI@kScB@#Xq3;(PgS%Vw-=F~dxtOsm2O=n{IyG;7P=wi%gqPiM06%F_M zPnC5EQI=LM+m1FN5a+We#UOn(9A;&b=o=y;btanfpto(`QL?6pX|G<62zKbG9EHun^o$leXeP%kFy~AaG zxUTDLfT7OmV{Q`lK7ZK@e91cgm>C;g3f8406bRno3jh)1(ZEw{nJ;Nqb^mQQ zks1G^0{_l~5ihpjNJUiP0A0P;Nd~o>t*Zz}S|*q)M;>`xNW-t=aKGa;gwxOzA>3f? z%m9mk5n4}MC@zmpaI|CJkgwk|Q6wg}O4yQl1*augvH|z9*1umVWv0VDdG?y*rwvVO z4lVP|;tn#;6q*y98*6fMP<_7ajaWNG2BO030FukKBmxQiuX#);K@S3Aa;7>kjgjmwfG&()r0MSN4Gu!##6Np z|Msl5`(4|lv?O`0(-D|BxG9f}Sni86hV%>Kd10fb$7r&Xf|*Yefaav68YAMShHLP+ zWWjExx`h}-1iD_PI{G!*w%6dpUt514HdmdO7Ekhyt$+`sVt z=kTKA?7Lh8;!qIkI4|E=Gc`EJ!L*4d)=3Ak$a= ztQu9%�(Ek7}!|GkhLD`4%S(=sYDRZ@aUfp7#5)WUzLh6x zZ#?MO-N*-J3O6E6y#LjFQ-DF{HGFQzBva8nra2Ue+JsAX=HL*B%5QYva9at+NWJ^~ z+%KPwxaV4Mg{M;1;idP|Aeyl33NFYM#Q0AbT9W8CnAbH1c3uc$81j**TJ5wCQ<{EA zt{I?pukhVkh~@{v|CpLB8?9b6YKDT41!&kLmpsUW<1GO~^QqBps(4VP0pgft+bxx> ziZ7&RZak|;p0SWh!vm^hw?-sjq}|;*K13B_Qi5uO?6LxIP$(N&FT>!x6V_W52AZSI zJ(a^p+O2EB)0=Wy1B>C&jl%jnFu(7~<%7S5?|vrMyPgv9C`z9E#G|c}p@6wIVs*(h zs7M?%F@{^Cx>)SsC;_41?uQ3`ZWcvE8iWp6bN7~iEI*TYv!hcOC7ENgDvE^lm7Zjo zagZH!MUtbjrpjxtwL&9^%@FlgeZH!e&aSDpsAQ(DS~NE~4XfpRUPVjmb_)HDuu967 z`{_PWjo%#gr)4rtmaEXGylR%l_s5~)Y(OY~RSXxaF6aD3`UbRmDh6UzpQKgpn2WO< zm-6mIW<;(5|1YDL_-Ez(R;h)hB{WxhzC{#|es8xX$5WfwMi6Nn0ypC9wP+;c$ACt~ z?67EA2-Sl+UcnN+7MonRPMq?waHc~RxI6OIo__X$O1_57G6+?ZTwA(xgf#Orh{C}C zQa_G)$21PUs}ebBC(8rE8SGW7$mf4 zHvb8Llsb*1Po@@+3dK!qOD?=&k>XN%w#l}G3kO7yc=v2nI}BW87jeZUbAbfbSrZ!) zkfm=iDI}2&!4Qf+0ncEU6HE{Vpj&P(82A4YsU5NBwuB?|GU)GfmG2eILM8C$%|p+F z=#BH=duNvXP13U99+E_IF(_l=*am?N>*QJ62P1J75rwHT!CepPl6db<(eQ?|z%)uU zOcZNj1dCKU7Cw+Ty9S&uYZ*j^nv|Up_5~u&0?G=xIRu;GJS!Z!y0tAqxVt&K&(V^7 z9ZhZ2Q2Iq{FTN1vSwdvpJ;UjXkEeDN7KE?FV4`HLKF1ccuS&)nSRCM5wC>|-e z4slJ}yc@Y+$khwA9}{bh)Ve^MxfhwM@gQ;e-}owLvlESoTs0R0+a=BCgte2sr*gfw zqW-#!lf4i8{vBre$3N@4(lpf{3V>72LCit)wG%hlc`TvKT;G$26e0HQ2pPG!naCgR z>=CI@Htax8P@S~k5oP(18K$LumaKyCfhY(H>{>HlWEi3KvZcGMOGOb=!Sm0KB(Y}> zRfY)dXMxpvjA9yonF;xaGMb#r8uhf>-YiE(TCaswAJWKp7c;OvR>xms7E836(R!nBN-WqDMTqZXP2z+! zyOcZ%6^Yrd0YK>z=mh`U2O`<{B)av0J7dLM*|6qihTNx-D|RfASf0a}w&j5v4?6?A ziap6#y7d#=rtnGF+?{AmZ9k|G0>le2yMw3Z)Sc$h_pz?fmO5`{+fE>%#%-y;##hO}s3GUo_A%nc zu3xfdPy zz-~ozE>4}W5h})qCbP`0;H9W!2baO`YuWZU6&g%*gmY9T99CJ!04YmflJ4jalY5S) zXxt9$j_+PriNe$v&>X%mGVdUAJbGfG(kgr%9hJ5JzKxIZ3w?2o%4%`xLwPM%u6jVf z5w$2Y?jop(j4)x)=()r5zhC$PjB(2)(AwMNmVt8g{IuHZ)N|ibhiz!gc^Po&=V$cc zxd+Cf<@slJGga+#=Qmbm{9<<#LfF;Ub*$v}kI~ zaS+Z<0YcTz>_Aisk?4{3JKuH7;283zQKHApN}iRLNU#F$ZejE?%u|oh1bBs%@m;00SN4ATt8@ zFY!fcZfe{2$RqK6BX~Ra$jV=rR0){(ElCAARgmplGr9IFn~3LTe}2Z${Gi-NN6TPT z7MX_@%{lML{~w?Mt7I&LXK5B$+ZDLSgs3 zsQArMo|CDM{K=|%;WhcH$-l%N;>fb$a)-`;@b3IyxXdm?N~kHJeiLNPd@(Yk@^hq4 zmyFq1F7=;9{qwfJ)AQG{rqjn#**e6Mm{1g06A*#T{20sXqsSNc4)yL+?9fpeQ@YDa zFy{8VTYz_@Gs3{Qvk{@;E-VD?;2&HVYNY&BYleAe$RPZ4lqyJ$nRenPuqebhG(NzJ z9)w}e?A0eZA7jS*&3C5N=o*pz*sI%(mx`Oxax_X$ThADLtVDs!g*ddAW=G0Z|M~i^ z^#W=ma5;k$njNi$9v)st18Sy?o{ve0Tlw0XOF||44HQ)QiwdIJaf0}lcV(|50aSdR z0dn!$`|tPlv=#5!CQlc#yYKoH&cT~|M@8|xHhSOXM2s4D`2O$Xfkyt5=Ir^^gs_@t z(1Ul7wbZNfy(pfQ0elhO8NLX(Ze~&mHx+Xxe&Ky|WM$oP*aoIw6o=Dx{dGLoWlORJSw9TX4K{fha41u%2e1RHPZ|EWf7JbVl!2r^efpD~g+v7!9u%O0LP?cjC4t;|Vs)8_^8bN-;p+ zEwrqmsQCNh7H##`WFLlFJ;VE?vt`PmG$;Z0H>j`szGyM^go*M#yIn1$B5Ii|kSItA zmftv{!8rdnM?WUJ_UBF%40LitGTP-97f1n`xUL9!Fn`7(cS4+*WOi3%GH-jg!yw-D z?Kt|kp`YGAu`>UHB={_Al8M)8DLBTT10{dLWhf9Gkgc*yZ9A`4`HB{+(UT7ou2q;= zc3=>J0M}m|*Ta=cv}izu$s+80uQ~r;S_P1-<>&;$`KpiXxaZxFxkrOGa;bMJ(!2KX z>vRdp&P0@{R?I1Gh;HJX{Rh<(yqw%G1xkaP1nK_5z+@vZ|9Inu0pVvr24IE1wC*diMEo~Vx3pfK> ziLFr+Qw@wwlF9{nu3}tiuvG=vSoG$+Y$|A0GRPRV;W zzln;Iy{WHDn#pPk=iV_{!5c3nt&!x*61TQ(XQq}f^bZbWb9+hJ+m)|j@Y`RcFYfkxg7F*N(RxgmJ(JVEK-?BG-oVL?7t#HOh!1LZDU-7nyWJ^^8Rjwp24sb8C0eeL*T2~F1>Wtl z7$MjcpB5IABNmn54Ko6QIG&AtC& zb)qvA;2rm$qT{Fth*0|vG|&5wSK}xjJF|JcR2wj%k!SW#-biZi4X`E7f1I+OLVEwZ ze@3z9`PKA|U&g0%d*jZ7z|Q$}K2kjA6eTeg)T!VW;6OdPn>rHMkXn#=^3pTv>1d5^ z65^nB7G+2J!yZ6DFBwu^pTB5vivKvx&Yi&67r6HbUpMXt^AU%Q5JLEGE69gZnh#Av z?@bxj?b%+e%t@Q;<20-E0QPAw{%2Awt^m#N`7LQViVj3?TaZQLh}X3$qgbERKy~=y zmYVjeRJ*%0)kvzvR;K0E^5<0@;sTx(cR$Fu{)OW&5tlmL3fT1#^`6uV4rTaH~pmUY;x3bGvi zNdP^m2;WNtVkc?|+=V{5OG88B z_yxfvo)604AaWCjbughbjj-1^y7hxT>g@Cq(U1`@9sT5_bPvHN6yD@yF@oU*RNV#u z8cTz~xwN(qWQ^5({zof7oO5W%GjjX_>uo&J$c6I(kRw$|w`5ae@PWJSa<~j4eB&^AIq&A+pKz=(J!Dq{{43Xx&{PkQ6wKm{~U5QZUj*) zWzh54r?W?GgJ+BC=kYbg7YOwsK}Ep7-!aDbaoXR(pFbGRMLL5atB< zQskPSdW~oaOFXJ^?3v+e097)3~R@(+Z zSNvPDsLX6;-S zfD0~L)zIY_eG3cXZ;c{HF||ASWop`(#OA&{xlfQ>Q&K?;tzOlE2Nu4;fWj3MJM2Sp z)Bas}DBT^8y+trTaor~oIA4DBa2nOj>*=r=9t*>7U=bn2I@*4q&9%QA0#4e*iZ{ar zg|k~iN~b!hO_5S-OVa&W1Hcq;R9>d@;YG?BzApN|N=haoY!~garjc^_k21+G*v9~V z!7Hbg8m;NvLp`=%DiT%Q(r1F8n}1GD*=@Zq=T@2?U%pWZYOJttAsr+$FL9YIKz+xBgA4qMS6Kc7qN z#58kE!%;-c%qBc>!N}1fcK%ii(ly)`o2)x|2WvO9hK2?WT?V`P(gXA}N)z0ZL=yft z+L-ijBz)w>6^OGOJIi&N{AzI{sLzMzh8t$D09iQm5r|DZY5`UUd%L#?`w|)#{VvcQ zX8FiG{sA+SH*P_-j2OsZ(q5GmQN~!kzN`^lKVS2H3ZTVfK()SKrJvrjOirWTfm(S7 z1oYgz^uX5t3!hUcnxbsDC-~3kC!Q%8|bA4e}ctJrvf{5r?2)$9g9!N zy}z3}bzR98mHdEJq?MlrNw-Y4UM{@%k-9@z7piU%(@t*=eoP4f5n?P3HqB07l`xF0 zZDj;1aex*#(h{?9n5`LrNv9=?jtO`jzDIaQ6x|aU79wLsKmnu^FIi7%U{YzDl_ASZ ztO$M3mA(VFBEZVoZEXtAxhT3 zBA`gEqWe?0(Z*KBAkC^tK7zx#yT2vtfG&gBH!L>k(R+2SaU9>>iex`v+id`hUs1p< zU26UZzD>^z6@!)`S&UJtT82L@on+LtU?Y^w=2F~4#xnRMP~n7(Dnm{$^qo9|9mmQm zk2)%tBCxEa%bD3iRyl!Nxv@KsE^m6z@H-r*Pp#DqX32E$C+f!Z@%SREf+I}?pD2B; z=By|$N2R!LKDA#L18~Y2IKi4(Mi_F~$_0J#qcaqBFJfqdN3MpS1nnzi6pO0*zqce< z4Unk|H2D%FMx#r^v`tb?@(E2GlZtb`IsSVKQL20+$B0$m!;A0i5Ke>YOlE*prEDp) zNq!?T2X>BIG3&;%gkNR`%O2xS211|T(+1Hrwk=1Nt{TAlQy`maw#UW~D7-Sx9VI*y z46k5=%Vyy1IH1V>RguLfEt8W{Xb)h_cag%hv-`C<#W>p`t&uLkW(icTD8-F5u;@*a z;2W0XpKR?BA@slhth0DTctkHy$YzbMv){w3&c-3C$#Rv^T_wJYYAlPH{-+%{$}yU6 z0^6_mZPNn1k4i<=UD?h(>s@D-96bNfqf-ybV^pCSDEWVioF%x3$jX;mc65ZPKM@c9?8)EVwwh zf0+`JB;x0EV`H=kjo8c8JB$mdjchkT$xf(x`UH_UYe?MJyy1kWU7i{n-!y=$lw&lB zhz9cCD6ac}&}2Z=fCk4sW3F7huWkO!g-A6s(g0KI{Uu7Z0z`%}&3B-q^*bWX;V)mz zM_9K;yb&caa-|^D#$3P3d~gZdTBYCq zkZs@p#?Hx#_?gj`7u$EYNwx#n7O(2|4XhUgv#|SXZ7bL z<=#K3`5Et-Z(d*9i+dFEyTc|I3eT4;bW99nO-g*(s$cERc~OWN>nevj~* zWDhG?eE~J#4KR||&ta$Lm#f=QUuG-XFRip<8+kgAE}9#}kX~m%S8az1Gn-6P84z|e zi1OSRcYITpX}T>hUW0aH6+bp|#hg+lEx$TaUN-t${aY#@;e&>`Af}NnF4aR0{>xCA)2!VB64HJ&S&&)IufsMoHt1B;e7ga9qVONC2k=48cy zbli`BI5*fuqnvnWs0}Z_Z+_DjQ%vkyH6B!}89sp49v?#$U;bytell?W#_E&Y|B z(ou410Bb|b<$*loA`T7HX)+F!WLenUYlKRUk0Oe81S`oF1EorV@Br6kgxdNyfD8(~ z_+3zZM}b;S65T%K`<|b&%((M|S7eFg)QP-;K{LOX7(M=9Tlr}N%hunJ`5c`j`i!5j zl5M|I9sQr4AA0~cGr|UVU;mK5$$RJ;?Rved+g4{7`d#QgeBIjCJ$<$rbLdUZR4wtY z-5@}(Y@AR4uJI92Rl{Sg^!3BYD-okaIx-Pjy1a&ZjfF!M9mwlsN_1k4E^9PWtapG+ z=7u0Dgo2Pqj|cSg({i!W=j|Ij#@N3162W@Y=9*+AYO)38GK+xd!s~RD^`Xyru6`C# zX6mRp=Ejd3_%`dBDDYc4nZ_P^iq#*bpdaq)r_a%&?+3+CO?XaV`s2@P>7??Gb7IlNwTxGNDP**rpSpb2b?<%Vp z)p6B|y`mwr4SvA^`9E}fcrgqE!JgHTm>P@Of<@}Y&QBD=#D;Jn-4gTe|F4S$F+A){ zTsW)_)!@2Eluv{{nd~V;6OL2F<+gvc3+wB#X|kwp!d$;f3*tVG-N>F zg?oOC=>cm~e{*-Y-*Q2&h|mqj(WAn_pFK9|rAMp3V*vmp#Ox3|&^tIrpS*NN7iNFs z^bE}rXr6c*cFrHrPGcAUL9w+q1lh2fTcQ^79fdUmktoM>!3bbT1pHdrqUnCYnS7;j zAObiH?3>nT`fDGrBD(NnQS__anV!zyajxJQyVAavwDCfP(!%Nr|5r}zZ#S(J23g<^ zCpCgxZhCw0eX3GfAS!ET(h!V-i?7dJQxCy4U;ob4;}Aa`m*Gys*0gGcLqFwEYc|0| zhHvp@9W}(wVvcf5s@)opZxl=>*?OZAKp?0~7&$1sX%1{jhajk_Zk} zMA!yv1i4`8k%W|1=yJ($wFSjRaNT>VVi!c$~X4eH8}B zn9Hx<-(NjTY%I1XoLraSpq~EB5=sd~VgSG$p!p?m?}-4?VMNeMSMZr~c`Z z02P_d^sm~);c1UE35@oMmN<}lcuzaMXlu%-5ler{q^+H3NH!iiIEtNIcq#}g9*Ew=VZAGyxO59WNA-a{OG#CL!Hw9K zbc)8P)X8^U9|8tIJB6&tB)x6>Q*q+I!4m!8GfD%B))lHzWIR0o)sVP?nO8O=;a+B* zGK*~!dp|SX#La2nA&I-h;?16qT_Ly3`OE;3t490y( zxDV~#R!_w-c94)$WKlRU)gk*)!r*HEpZfMcul&Wqw3)c3^#& zZN=7?=ia~1bf?XGsdfG(QT_cs5in!teC|Sym(A^$O`p_{l};h$h7?b85w-f4Vz;Z1 zLVfecxb5F@c{?UuA17hI@h}UZpivNkh(gG%*q!jgyju7~KyXsOXw?oxrh=xgz z^dmx-{`$A_iQjUDv|VGDxU6dUxCPGPGb3~dYv-dCDcMz4;$bHAa1j&?fX}2N1gb_$ z9}%F?;ng!t%p2}SX4ZX|C3WIojeFnso$Fc2eRIhi>RZT?m#WE} zrD!zyFyMUgsH;xzwpUm93TX7LtC?^9RP|H@XZhfTwMmP#R7Tu zYz7)6%r8wVd5&jNI;|1)&FAm9f{1u#Q8#dsa%iPYJWGdx{Bv@+@Jf0)ZtCUR!e(W3 z<9wqP@wGn(RHYd@#LxTD_Crs*mNWPcM02n!ms>Pu zuyxR>imD(ds1O6q%33L;I$`HbZ=dpA>;6YK!vDxxYmONHFQ>)=ZCk!oH9@r`N4_X? z?H3)Vu?NZeCwDNSN=Wr@#h?dvxo0gMRlQ)G>F~Vkl(O6IGdLJh=_ZUpq#v2g;rhA! z8k56!KIZA7cMI{DKFtrt3)dF7I-F+phGlc>YLQow06c=gO&WoF1_VIzcWk%yd{S@D zzMLcm-$CMlBvo=ovq8?n+$L=3_Q})1tf2t;V9=+bU&)`-9TN4a*VgS%?JVcYJ?CtV zsfJ~JfB!ugF1vk3SCO$3>z#hEv*)_l8H*LZS|W3kYCi56iwjlEauL0h;j&6$ zX?y~w;D!ZUXR^J$+A|)pqR27kEylQ4L6#bwxx`+zNgy06Pydgg@NdouHtCeR3i;#l zjykuQ;R@j&-})9FX+O%i%lJ?oqRBD;WTeUbf;#jdJi6TD^qB-R_o-v|GwF)f`0ikY z5&?6vZfobOjK5Kvp#hxtOaPJ#%-c4K$>jHgUi(oP_~& zA|0afQ`FLipWr`kE@3v?uWl5onZyxLt$Q&1M-LYra$ohiFt<&B%X+ZqG1R`1Bt^8KD zaw&|v{PE93AOFlu@{|vfB*zHs;2?hP2p|mvy%?&wRe@XBkLgxIlvD#zx3iGPps$Fay z6*=HKka**ph#|I#;pu@mSb1RrcHF9CO9=Y2ufva$hz3vPsQyp6t|nuGxKuS}2dsbi z=9q|n69NBIPSW9VN90(+5rrVdE=)-hV_UfOBQ8XV^=;$jP}W-$RSvZ{y9;Qa_>=%z zZM2;xR6le3#uhSwdJ}?kQveCbUem>gh_dR5i);Ofv0|tcI&ueRZQF1$h~JJ=7^b^x zBB0~+MXE&xk1uDQ^4esB%AZgVxhl!aW#{FV4S1OjysqAM$Ct!WtS1x-w5_V0%RDX5 zQk?lYw)NYZppih9#-eScWtb}ULtdom=J5a8+wU}J_&fBzZ2JCh&i!BJO%?@{1CbF# zJXeV{$@>HEfPY~IxJ}m1T00+Msi&43VU!u!(F(i7CYoMfrL}bp|AGB@J&$+Be?8sL z)*3wDXilSbo6QU57#d-KIkpi~4-m>9l)2WcGrDOWs6(9sTqN+`y$`{(P3s_NvgrCQ zztjXNLMED$c&xD5n55~5uVoN-<1qhl{uQlb!1p9luUcoyd**K+IDMSR;P-9^28m7> zTRg<$tF-K5QcXbyJpA}!d?HsW&pLWR#FQp82xYub9loIv@eZez(<3}2^yDi*@->@^ zD>zh&hZz+SfZR4vD8!{!)~YbfYEfm?p$a17J?L}mk6i)cRPZn$1ylU0A!wm-q zio9rC8GZ1j>Y(AX3QdB?+h|(jHlGx4S}bHTbC%B=wJQp<6eWP_kn0z|?r?vpy0he-8_Oo^G$8c>F$c1tC^LVc*Z4zv(iS!%dALgDSI=AO=XLzry#f!h!VeB5nVgG0af+7I zp)%!ABdBS_aCB7m`rv>=mExt@;_r0t}_V^rx2ed$qB`qHKNKAnI~G{aN-zJrNWkKvFqGwidkqQ^qm$E6ce zq111y|Is)Umisb!tYc5^P;79C1k3;IAid}8{T|7Mz{ z?9-SOMdNkPHmO?Nh}-S}!sGx>(AH5SkGOjkVAtuvQYwHjbZFij8zO6q4m2+~cm*LA zJYWKm;I>vD*=i>*QVSA*MV~$!rEwKI#xQ=6r+$~wouXo6%-yAN#**kvOyw$;&4mW} zjJEcvL~}zuT7NGPQ=Ps*Tnb(DB>d)i_Eii}KtwmuwfZT*fgXX*msMtXOJgnGmC%tI zYZc_*-s)KHnB+qop#ONP7Nd%rRUi2l9qZWkeeL;>?T(wRIB^(GDWiQz=)BRq*cI0m z_trt$f2V~0y?4SgtARo#Pvn!lb3EmHr`+G^4kp9@MjVW)rvKgW^G^3ugMk9IgX&o zfzz`5PNQ;;%EmoxIis|u`$=%evFX=wrOR-vJGOS;bp&L{H#bHdK=BP7#3#*5!MG#BqZg<|_j4RG%fE~=Yv!vRkacVveB+2N*+nIW*;eUZ42x(M zrdC^50_3e3#v5_pEW+k^SM0#<31g99Wq?zhq}1Tc{_jpqa7Kkm9%>lcQlNZxw#Z%G@&k!ORkWDl3jdR1D$f0;6wI&e>yjYv#Ii~vg?*St+KM& zwfu!uPpw>Z67%Kl+`s|^yL~o&;}9clm!NBJhiVYEELXCAwzfkZi}LAehc*5UrA$b;PdJuk$J{hHm_+>!Q z7`s%-dC-;%ZPS#qH7uqOtb1(p-2NP{!b@Bm;p-885dSm= zFW;9PS?&S|ZTJ4jiC2QB5hlc1?le zd}Q_^V9i44%3-j_BACNKHqm$yp@EYF+i^Uwm?vdQv5cZYghwwYbiXK^i{Qp0p&UGCZLKM z&RF?LOmD2CI3ofp0fK@lpfmI8WR&kAl3FQQUj&Z!+EamR_gH#QhQXE?HXbd`N!1hj z0f>}1GmIW46_yqKLwn}~mp5~L|5i4fQOIJopj2v> zZv!7Ejp==?_WL=nJ|XJmU5*{BIA8PxgyK&u1cI(;K?nRa))jK3Ja<1H9aS+#+IsG4 zWMf4(Z%k76eO_*{s#RcMkDvG1Uh$_hb4tJQry2a*`Q)o7^U?TW=S{b4KB(UvO#QL^S^fUO{e9bY zVB-IdIZQ>o|Fg^I{c$LhWN{)-EWmd#iHl)V$s{k2saNQs+=5%#B7RBkf}qcUTCYt1ft07yBy()7n5wgEcu-}nNhFVAX6RdS{^wCglM zaoz+wZ73%S7W>oM+&&S6M+N)Wy%(qgL_j~MHzwTPsp+jsWx7E5{SytUQE;eR>_>P+ zQ3C@`w`Li&$C8FFVgxe0fO3GzT_;$(*hUk9$nGO~KsB9wyu6F(ycyrTUK_1Vn+Huj zkBo74976KjWRJ+h@J6_l-E#hw0-9khy8|H|pf6i+#y55nhSrfc=R5j)!NSg+$Or{%JoxXL9KgmX*(=@W zJ)4Z>Q>}ORr2ny^F*mGZcj^nuOz-6Q#z%RZUz;atlJq~G$d|zEV3?9 z#kO2NBjGv#*;hZKp+~8#cJG0Rzi-4uz;jdDg%I&$*OX&wA3#SEA!0yhoEjZfN(o(T z4e6yMoBb1*$*-u|v>B=HXYyuZluVA#fb-UP?pPk2W$o4-Xh_k9#AlF{)NxAd1ZGmJ zNbvPOyh#!hnxu1rXV66{iAfGKjm{0BEEEBD0LkQEFovo^@?n=Lth7hwgNIYUWlsP@ z6~tVTn^r(W9zr#D)C5z2|2zA1g~t9_Qs&Fu3eTU->22O9M#OwtVAd2nceS8Ljj^{ybj=s zwyhqW$$LoDN&9fNV_dg-z>Inf{dl~A;sr$AgF@8>5u(c1Dg9F@wIEN+ud;Kcp|f3S zXD}GOAo7vMs>cUpH}2j_Aotd9?a!^nCGt5daTrryFsu8rW$BMXO1w29MfK*K^?my4 zP0;X9ycBUl04>zcV&j5AAWaKD|Hh3i`L+mXQ!JFm-H{~U=v4)p{SD9^SYozQaQn_0 zOwWEuV%3Gd$@on%iWw7)IuCex-6cDIVSge$7r@Ug$cX&MkLJ2AM@3$s_kz^YPlK zJXTD8bFul^e4aM@H zl{&VdcIk>qi_=MXb%o1|RmcaAUgV#Zj8!iCzj7VaNmWhqZDeTP8mOC45(lGL!jCK! z@K$JNn`bv3lT6JQ%q_=e9ZI5^a1j`){&sMYw-q(fPX-UBlu(WA%H$46NVAt%l1W?U zC>EBoU42~msO=JbBofp7uCz=mEsvW)hO)9AO5K8|A$WQ{oHY#(P9iR^o=_BpCp4fo zQB~%n?0YBu5PX;QKUBSCS6f}6uAKz;;##0+utM?T#oeJew73*0Qk>xK?(VL|2~gbK zDaGAg-#q)gXN-M5WaI~AWUe)Dxo-Vc+rLvjbNKj`R{7d_N)d+atZG7v+MUF`;`bvL zbZJwxWLkOX#!~4gykT2bD;5DeM7jipWEiSr6e7|}8-{lri6QQ~;V~qEonUE{*&1im zw${en=;x2_pl@5F08=s>u^?#B@`j7c|L91IW*DB2Gufw>S4?oqR}qGC)<%5$0e!Mh<4V4Q- zd;nw!3cC0eZ-9OMGod6;<(b3c*X~P_O{OQpsM0uE#XhJ}{YT|s*_6_@ISh3#&gcXd*K2Oa4c@<(>R9e`U!paVxr~$V88Tu&NF#5$W z*HYfs_zv4rg=0>dH<<~8K)7fU#mD%{?uSKYdtq_q8FQyH_fs3uoD$v>V#^4Z}O6HQA zatz3sts<@>lYqTtu}I=hnKY|Q#yjYtr6L--2+U~upSq90)AaPxk)is;$~8&5TKBRD z>@ex~TL?*T#YzIeMWP|kNn#_XZk>H$gABNFLT%s|YU!0$wKs}Ybh+EQi)_4;pglOJ z&`rVf`m?X#qcR%iyK;%KE&|Ahkg4INpS;{wU*N%W4q*kH4{HJ7Va+AK;f#@lqsb7- zt0i{lzD=xP+EZ#cT*03@+9{-NV0e0z7v#he$2lAY4D#%+w}X;ZL4@$0EWB zIA+{Z9wAWAaA%lNzOMM`!c{Vs8kDBK@D8w~6yP(qrKeU&Zn`tKA1^Dp3*4ZJi9{E^ z4K3A1sA6x`GqQing3 zfk&)Gg;A-I4(92-qmJ~i48XMMr}l4xa#I>}WECWR8xTD6h-~BrJKDGWAqR`7>&!l1 zAYi({Q#p};G*3mi;{BN8k^>g~O>=EH&ND|P|1OgP+P<;n>Ga z!CF#oQc+@T*TyJdN&afJIx^1%KmEeYDkqFRJxE}qncAs0j%{hoim#a;LBFSEBF1nS}4ZIRp+ zu<%Ol_f-`aqhCgq*Ez?dZ!dq}8k65OKmPW4`n_w)>akQNcWP#+$z{SpasLB7HQF71 z7k-#*^y#&%?)u?wBsU`N`mxsn2C)xY9V0+<$ zEq#T7DQRMiy|GP;L4!uH81Za07Jwds22sL>=5agP54H3?8k_hD5)E05_b=#f>snJD zuwNfp->VslW;D4G9&fSgx;hc_RLZPMml&aPT5Dt2-w=%PewjjOokLN~H-Mzt^Q|J} z(AD)1x1>0}u>_R1@_2ksE>G6ui`SVyXyO3HtF!@V zG_;#@!)T$v(LAm7#C(m%Dd6+&m>Ezg&cx5%?_rA|gLfT4@i#zBaxg1iGe}iiO;r$w zeH%Vg=1_iIqqqX~aVJ(Lg@XgaX@ekd!xhR~m0g<};0+?_Vv?U_GHpcouw)NNV*zBr z=V&1}mPlMqd!!DijQU0}njOin2M<0^7X_q_C5<}eeycM;%ZZWRRmFV)Y=4>}?Oloy zqZmeRNcEM6m+9f8!4uUVzQ|DEy4ubH=r%4vKp@g~J5-y0U64L@ZGX8u{4wiGq5}^O zMs*6ENMglsV_FPe=_Wn)UwF?50DFv!M1=w8bchj()vhXvc0;ZkZuo|gS zEzIrfI7w+8zr~G;&J9#JW=~d}0kvWuh~^OWbj?ApR8}f^o{1W%Q0)0aEZ^W&354@$ zLPK|*aE>a_oRf~j~JW&_*&ZOVT*6M-MD*^$l#qNv60T-8KL6&O%sJ|R4Y#*dm|f^cr}`*Vv+ zY%@y8d%deHE-B1OBBW!ozZMUQrTfy6vvd%Q~_; ztUjgq?#Ow5j6FVP|ImxlDKObkRUA*?j zhXZExRF`1WC&%XeJgKnY80qd}t#SGMk3FPD!K6l;OV@1Ir53xrC)X!Rxy0|yZ!c$d zdy`lmi@nU!WgBC*D$uGDO~cpAZasJOKI970h#*rP#9v^wO$2JV^@8;29zlwL(F=8q?S40kUUCl;&-ZFfBs0#ZX zc!f9AOKl)(Qf>g{yE@&sp5=*SNMwa^V`blqv{5~S7HU3gnarSO_Hu{|Yb{#HT%Vu6 z0JFO(@^>lJlvszo$}h=w2cwqxk7wE|5Tyam1V7ou zbZ!*4g6ErRFkOlvgJIGDuEafQ9elKZSqUJk}m?}ozGq|*jQRdh@1$N#1A8`6>z4j0$148d1q zd_d(kM@@YtaE?X!r%&`e!n~Kl7R~mlv(3-HwF4y9|BpU3*ubHR&vu-7tzU1aQ?kJq z_dRhei|DgPIqLvCKUU-T&q`AQfX!wnQ@(O7R3qzywi$S6mJ1>ZLXmWUgQ0I_15Bvy% zTJq%3ktmts&=HGiKbE@t6GNdStv_O4cz)TBMtnKaNf}^4yg$q>e^$j`JAZHdW*e(m zC}$YL4JYGNcqHTZDYrI{S>|(<&W8BMa-?6 zW_~!4G>36g##9H%$bB}~rI*nsd^fl?H=Vsi;|27e%J)h%`<_$%m-_|ps@{eJC3LDr zQTcs*(YUH@oD^)ZJbsSkU7y*gB95IKEELKAj+f}H+B}bavlS?czU|N8(yZpSHJRk0OlimbpT_c;q9OJ15ScQ#%N$4NDuW@D zKYA>Yhx(dl!p>FeW11u*Tt4s?_Yt|~pdgq)Zi$1-20v5;y#q9lkT<^3Wrc`yD86eX z?!RvFwrkbJ=Mq^B;j@vLBU0yb@{Mw^&#Ob#7@3?dajZnVm4=)sZ)v>4Z`u7+hi0Ls z^v$OhUke!0B5nd_?``_5tvrCps$gViMDbxdasi7{UDx&rg)?uF2OtH6X3;}0C%az< z^rj(mOw7tO%Ge%qM)_8v?u$x?KK4f}{avR9fH1+w+DFdQ8Ez{|_y$~OW-J}=eIlmT zzn==h3l~QGwdjPctPyhQ_+aIZ?DGzl`P@pGAun!$UIav>OZ-pkg8O&4H8v63!$k&s zy}xXS8|ZF7eWeYF{a2Nf%G?#q9{c|Yt$Nxdi?!K%djfl(xy$O?+TNZg-fXUQA)3dlVHc%Z7u*Bi{!9@Csc~Pqi<4p5)n1;Ibb{njYI=Gbf_OZfce@nqZWO&A3=tQJ5XrQt_@dEs~Vk|wAS zs^oyofaq?@wsbuSrCV4QbhmJa*a&6ZG`Ui=^^>SC$b)5<{%$*ImAniU)bM+Ohvmqm z%!D|*oF8T!TvFJZ6J)@$Djf@|m{@ZfD2s;Gh_O>EEO`>_5$0)IwG2!CfP{#;6*jlj5FZ{J!ut}W z!Nhz(E|x;kKaY3>-UtRx4}Bq%XYfp=B0*jq0%^PG0iwPJ5P5IL(deH~4YDt8R{M>XQXZMV7g}RDlK}4<&kc^qQQ0aTeXb4e*4KSl+LHChitn;>=j>5miNoxU;ybo{Bshm_bvvt z6CPF7pKwA*QaZtH?7835^r_fC&gpj`6KFbAvxW}H8NY1b z=26edVMqE@uE~zHQ=@*HT{4l7!)ji{{{FhrTKKkN{JI_AKBtf!-PtzXVNi9ioK><6 zUkj|PynsVldR5A;mXv)wexD_Ad)HiZ9qW;sxl-vK)`T8B{kihvcjfZU&pT88J%5lu zh&!kTg5wwgpn^0ws(GB8{VI}$4GDjtRj5%cQ>hpEhOi>iv#=P}D1I+`RL+8pobu;< zZm$9~=o0y>VU>&(g3D9Q!TuyBZ)$S)V!JYqqMea@8=Ql&TSCV7no z*!_Dc{#xPitfqTku{qV{lhpW{6e~$_=C%GECc~2+gq~kuxIzxHtPC(MCaO3!xBQ>X zyMJINgBK@2fhN^KlcR`odchBh?lu{pk>f{|Cjr=a zM-IR&t7h1LCqd7lP(ZxfcCZ`4_xZ{oWDD~XoY!)9u!x`qP<1}Frtl9FCW?Z*A{7=E| zrU3F`6FiHeh);7;>ZElL1K;RhDwt8b+Ievod~qs+v*;5DTU0Umz7>ssh!o}axfA;& zUm6Mc;;+PL;S;fo?ha+tq7ZIlO1zD{3OzFH1`tF-9^<~Cor{YUfhASeYxfy4|18{rutKsxmswV^ z8=A0@*a~eLR2OXXX#r!?FqHZ_MB{A*&Qt<637^b_)Zw&p)0v_yrBwE)oto_CRy@O(aL-PEI@4x!=Km*?)8pIIU$V^(Y~ggjdiw>@>R= zJFu*@NlEomivTb{z{`JFefo4;it}k=yF(~k3ARYZQA8xFotgqKZHyBQKH@Fou@J6$ zp86&IIC%atWZ&}%su`Iu?YiCokRiN_t3{qn-sUgHNSq=QVN4CM8Ob|BZzaeq5fML7 z&6}`l-)~7fuwa(doqsJKl}5_|;aF8P|z5P`?pe2!Or zM43Q6a@rzN8vi^+??8Se04MNXYdZy=O*xVr?GVFrgM@#0NUEVpJW2)WT~#jA?}M@h z$RTplh0j-b^vlL3069EOoX_ zGY?~IZ5DG}DgMX~2-#T>SoBH6b@NYXGm4AbucMK&ekM5zh&sLI!`X(QN+s(Kt-}uVs>kh!D^pbc4DWpD zf{JlwiFl%5N>38DH4*{!!j@-4A0o1Yc>E`Z^BPIId}yokt%QX0WIo68jLU27FHx+a?c5Kx7{!k;v6TE~`!1x!IWG=G!%=>K<6>uUxg_r}4p>&n};(%Y=(MYtiS|8%>&qGH;q=vC{XyE9mw>{Y?eeWssu zKT4|*Xj%xX>78k7(Epss65NH|q}y5+I!+s{4DbG3T8LcdwX)KJxvz-nT)f(4`bjxt}Tg8KtH1TC~%|_PGuxu(&*N;G@*#tifG=mgzrGBPJ zmau|KfV0Gq-i6Kej1GTxn=BSL$c! zY#<*GSmV?gm(qEV&n?Z&j*oM%Bg4{lVGGg{7*I}Kq$g-<21L0-*S8i0Z0)8PsO*;` zX_P4K8dN!bLE*^@A^#Kj!d*nC3;%&Mz4#h;;MamNz=m?p;;*?P?S?9|B zgh6ev*ih8_etu`J763$Zov*|*Lt~iihl&=CsCLtpJ}~76w0^-ajRRhsdBH)5c4#(G zsGg9wL{1Yp7Wb3we7Oz%hZQwj-=_@weIxI;kU5nyg_X2`{)ROA^j|dQL4!0EY=5RT zsE(O1;%WB31*N^K+l zN9d8`gigr8u#+1O(xZM>=wUkQ#6D%dH1>*IAfCs>&TUaaO|YXf>*CZ8vs?t)7Vn4S zz8eq|L!}LBFcj5YxYa%5A*A0Ubs*PdwmuvNT=#_CvveDiK?)i^ zcJvaQskI@kYP2|<<~mB_OvdFbYGqe0sp5{uT8zWuM=@=>hJ0yJ4j}2G2tJzaJH9_z z*5CFt-0)HCE5F-u;crksp(x980W}7AhV1s)novKPE`p!e>$9OkrVm_;6J}4Lu>mit zi^6rS*N3kNcD15U!?{#OY@wOH4!$QLk>Iw3qeDkIN1VeOH`KamyI?>W5 z83RbuKGn6HU4jHr$httE_i_1zX2O!RZ~~C7ZGLZ+dqjEVXfdkZkpRA-H~~WqvYzG0 z-TCGP+Tz7>$)tt?;>B$%+W+P1{P$g9VI;+Z0Q4|?IsD4PvcvLwweIJXfgSlxiB#%;mUfY29L`xW zN&@&J7w{+vmRVV94OlSn_;E*f=LSa-WBd2MpC|3@vHDHtvuw`B+mp}Rgx)yH@o?W7 zX}ND9qcf+vUARpx$O+OR-jMq1djJ|h7q5~ozE6*o`Ka-2%|V|}@LL&x71S04L=?|0 zBMA`p>o@s{73JOB4MDeA2pXhPpU+|636sy6h{I2s-zF2psNBKWCPNV^6SrcOn1eyG z%u@$BhCU#CP@cz!CaDAw)U!m}(CQY)j7m;yxYjuTLrmSDWNaRU`0%pM1}5>TQWlL5 z!Bgm{Q9vb)VjdG9h;vFm|E@so$xkOB>YrqhbSQZ{M5(NlfcMFO=4HFINQ4ahh81+| zxd<^op>0332Cj*EC-@-Z#>9O~NDyA@l3VvDxSLYIS2XlE#SeTcqG<-+b7O*KJaVKx$jxEz%In~G@wjxR`H<$p}pig}UD?9?6p6Q$p!7g_g=-qsiS zS2M%;OVc4$Lf`jAxn0q&!{MV|f=}47YmIrap`rFx;8PGPi14yfc|AX2b!1x+ubF3@c7mIRks# zGImTY-W#|4eK{rUT02+0Ax(_r1;2B@Wkz<^Z9VwWi*BIzilY zG-U$OASw$l%ga4hUm-;F!h5I1xReU>Gb)!pKHW;C{;22JM@)}AW`AP`ZSya8F>P!Q zvtaM=Kd+WY!N~tQ6lZyN$k8-Pao6`Kzw+{}per zNfsT#zr@G%`D6rA?U3n&2+3^phQuN7Cn|)xMhF{oVv&)A zJ;}z9v@4S#+zA}xMJ_&qG&&%OGz%bA<-0|LTUPbY4M6R*6B%PEt(jXl>>|F;q5b2V zNPiBPJ@s8!nFeLa<6->wScszf%UT7PS{|?nPEh!{8&P0CZ2vaku$&2ZY)yx?X=Iri z3*SgP)%P7Cjrz2EdvZ$dW2t-Q-UB9z(Za7%KQT+eoQ`fHrnt|Gc|IEKx)T55$EN8Y z3FQQLQV&WKmOOlq;BcZof;Qt7nt2gZMqcv}2%2HFp)RnTGEdwwuVic8ZQjLS@;?`$ zD{|@1sEaoBio{C8KO?~otfye8itWb(*`-j8{_h-kF@s=)4f!CnBv~dEVI?|xqaTEm zMaN$vPX+tZQYjs4_;etQoIjH2gKd(GJPT=5o`+FqdB0{#GI_oqR&JiJ_cSC7rQ1y_ zv2R(y_T7=i`!bRN1huCs{D^-`fmcp#1idy?n zRax<6j_u~&8KggvhUO$(C>=JtXbdE`?AskcGsVgu|xZ ze9?7B3PkqQM>@$_+RRvlEi2lvTH+Gob4}DJ2E_P(4xQsxM5^dVOdexA9e?4+eBrwI z=Kn}Zdsq&3OU7(!nj~m*Mz?n1oJ^0VZmpSe`smUTeV{(+t_q*3$ zdlNE;WhgN!Z$)vYj!mgtj$waT+;(;9isF7K7s< zb%igc{t_em7v)b@U%mkS2?UPbw34ovlrZ=&JMX2|M5wZ4e%4`+k)Zvg1tTe#o;vNM zi9l(t3x=7E1J9!2G&e$Fk4&JDF0he6Mpv2JhqeH`ZWQd@ zcdzwKMo^UCS$@dG!PvvYOeVmL4-7Il8&Val7+esVrg_wD$O8$N&(-gOl1HAFL^ zRwjh^37O1f3CKSAk4L{dFp2#IBZXhF!D-DJ9dOC+Hf zlo^d@$$?q7yUoT$$Wa8}Vc|eVuM|uJgB89Pm63z17fTRqZZ=;u86q#x%13yo#&xM% zs#IcJw-Z!ohXEi!DkP1xkR19$%d`;nn+qVyC2{fexid;5igMKl z_TbI#^8C$q)J1~JQAiH1|Au7_tlh4Q)8EJ{RRWbt6&BvT?TP~45tUQIiwcfnq$bMp=lJA_A}Y0^Cp`lngapjNBlD&|+` zRi-352dLo>8?}|Zic=OH?hcyaeNUN!fB%^& z2KPOLRc?L%IVVgj6tF5?b^G7JbXaomm1!dODgh~B=R&RrK(r4pxdu&eEs7y6>{o?u$K^QJe^G6R zf$U}|c(SM&_1x{B97m~d*>?Ls4KmM_hzL~Ss>KXPP0MkI*CBaT#p43NP}LsEIUU>B z4})91W;ApfY&uRkwO*yxeL&&5Y>R3H0SPHtk5ImFn-KP-uElS&ub-d-kO_SI7`%cb zyZ_4qa4rwvUbYeE^1WIaAaGGC;qxC>#A5;tlqhEAe$2EO@d6bJOkEC}Eq%BEu)nx) zYx}(-?TxF%pPpmtpD^;W+!`L;uGEwQy%KY!Bx|LDN|h9bGTWomrz`qdmLkYsyEb|d zaM$~=$WPD}S8Wd@8^=Qbx1WA$m6N>SFrbsrH|PcHAbvL_?Fg|#C+Bw=wF!(e&0lCI zxfOQ1EO;1{5~`b?8xTBo*u{D~$8zwr;QMF7!=>E+jkP9Ua(-2-^A6rhGs>3E2aTD7 z=&u+*Z|#bL{{Aw9)&5)|E+E#AAyt5K=5xu<1X|vOyrB1#G5tTpmaIac)5O>8qKMIe zo-n%GXX}B@WiP~6xce08t!@r?;3xpIRPr10pvWNW4^TnP#>TR_I$a4pWqi})Ec^Ac zGsc3D)s5y#4zH*$&sm8SG#&dWMn{@{^ixBN1bQV9Y^Ww`HMYfP0Nx5jGdR%1JI%+C@8P^eAN z$2m~+@ebU1*hjA62$Mbn@jI0pS{2{Is8P6g!yimECS8uvzf{vel;hsFW)J=5_$|)C z_mwZyJI!q3ym3G7X^OxUTM-WZw41?E^ID%wc=-N+AhKKa!DU>93%|rp@YFhLl%M5E zhBliL2B_E~JT$|8wzT=;j8d8mmU7@LGmP(fFg`-CvXL2ZEoL#@r=`cYpm%4S3R7iK zN%)=jL&1L2xnP|4rjQp=KFu645jdnnMrY-XJv@QHuHKUWPg{)=S9Mx^BABq;bC1Yw zG7u5s4?;{7Tx7{Y%+0WtUPO4eoT%5NGq^|+5J;PM*CKUeW29cMoM4#u-c*@`d#Dou z-rCnGyr>~t{1H(ZKIOItPv1(5WXa&kV|a7RJM5=?WAOE=&3S}Y4+@Vq0C|^x8+XU% zy}8Ti9p4DueCdmeye!Y-x{bbQV|6Bi<$;_VBA)|Evkn)ftO_g=b~{X{b@@&X*C%h; z`^YQtrd~l?eTF7WVgSXW;F;+!tKif9;bGynPiJR2Ks3wrIYH;$bRFEV-GsTfEsF*? z+PLl5TGp}M3XjphMl@Z5KW+E1Rnq@9!eHPc<0y*~^w6oaRzDU3>HCik2=~5B6@}Gp zNbXn;37Kfg(hau$V6hHcdsrR;$DcD9K7_el=Tod*)q(cmt@KWJ*G zWdQ*ofTI`!M|+LMPl%c+2+}Y%PFVAm@;fKKpMO}piO<1EmIYj(km2BGn}DMs_p&QC z;%*lsthVSRg{sm=|4lTR=_GhZ%sC<(Be?QiM^W{Sy86YWO<>_@6`hL|_v_d^5v?^F zym&(nGd6_C-@nerG8jx9YUZbkw~=mrKioqaJ7%t1ps9~%O)Y*~-N@hE$^IL! zf<{?mN%zAZ`)r_EC13Q-_l0xCzcLD^9$7#$J9(y! zGTiFGyplKB)UPnrgxV7(U08kE_8eBz{{;~B?EwY*UjhE8c_`TLF{HTXIklmC z-#rH%xL>5<#|Ny>NC(hhr_4otup<(vL1($`p+{~^ z{1Xd%f&uX+V=7OPuSFNZv*+(azH3hU8(i{)R87$%P%X`CFZ)R`h@`_E*GzEAR9g^J zDf;?*((MxHz->2Nms074anv0XKXHne?-1o0`u!GwGWcdEeQd-?ShDGc*;eWn0kdyE z;!N4+)W6z+CY792aaX5Nz45#Cv#2U!zddqA*GnX1mZ`b^twqYg5>cfIy)tWcZTsAI z4p(o!&&#ZY-4RJOj)jxxl_u?IN;kfB%us_jwkPocE_$?^ZmR-RSwfSpPf8XMov8qa zoEPTBVG@oWY*s;(!ceoM0`1)a;i+GkPWo^rHK&5C_ybTAcwNsa9q-x;jQGhUlUf_C z1zgB*yYRtuvXy3}3gZo#CP09(zs*bxNvtVRQI>XA`jKiJT0RSI-NDt@Ug?Xao2vJd1u3*-&q{J#c0IhU(kN|3X8Xl#h zK=Cw<-Ls|@HqHgTFmvEN4L$8DMBIWU;HR`61*lI5{kai%G2?mB92B%&J&9y@X~}*V z50k70o$b+jMNNd-+9dVT^4okzc-;76frXCXxfuc@N7-{(iQFJ0D@o*}iEs~5YWsu! zkqCGs*3xr~bZXtbE%DbA$<&pf{vE6st>`GfJIJauzj75?@w|s)W`-vZFd;_y5by_0 zYmil%8%x>O}Ador0T551O>mpYKa`H5mQi8tou=l$p2BU*!!P9kD^*su~n!owud4@8XxtXJ!A?eyBuVUVU`j zfE9m+ZVt?0ZRV1pYM3Hg{GY0H@Sl>@n%41nSbmTUV;V2a>$+oMUTt3G{deGD+cttl z;Fcn<9bwhKSdyNXVx?@wt}Fhoc%jFs==B=%8QdAq2+1>seL|lL!h_#Do!NF$x?vvc zO%p^VQD4`uykdshmv_lDZOdyrU`f$yvI7!;^1yl4k?7W%2tOkBX7#T+QC|KcIzVf z@dpy7NaR};b86r{CYBh*4&L22UVPlJCj_ia*BG&QNY0tp4)->Zo(Ymw*T3?+?H<=* z&s%g>Sr3nJzn=+80Rg;{T2rIOfWXia0zolI7JoYXm$r_uyqa381ncIZQ|1Fw3o(~O z8M2s?g7@|i@98zisHugV9V!`A&(6xgMXLRR>xUbrn@ZrJhnkS|?Y zdD6ovrI@&Fft$cLcwyMRhwu+v`BEgkFrW*AzJ$BVAF(nrc3~<)3@nSefG@_OwMTI9)TL? zqbj;Q-fB;W?V zk7F?V$9Zrj6IdNxg7JN-dsHoZ+W43^_2Y2g!`JEbE7ro&seH?~`}~V%=CeyHG}az> zKC!_&CD`3mr#LyLBJFnTz%W_bdzJu4WP{M1? zrCib%q>4eV&a^F6!I1eq0X50lM&K=}h6x{yhwro_eL{nRQ$d`W@ zD0oIN&K`U|eAfn8yPtY?w2&b3E{FI9QO+GH$0(nDIYy%@D4D5Jix6}9QE(|JS(AN1 zD?ETJ>TpKi_T6F&7_tMrk}*IMi>f*&!DE}vpArc1rjW!ym%1j>gWqmYz#RafIAErF zhgtuI0)rAYPTT6q?qQ^nluj7Pytw>pwdB5%FQ3{sPZ;w+_+KmOfwke2PJu%TJ$epj z;HP02+&or+$?{|WgwN|$I{6(G_8QcAo&ENZeQ@@AdbTOxIOwsa1oMK6i?hAcEJ(|T zYVzLhqu)|KB2!);yqx*?%$DDGTsT&*)YU!`LdI&*S|Z1(yyR; z+Y9(=#5Oadnyb)<48>-rv3Z^KIq*ZH7p z$+Tht-OxQt2o7R=+OzTnXfnm>5n#u~s_)VT3b<}@o;Yz~vzAVcbyT)LS1=&*^Ove+ z`~>QM5x+h-ChAXg6(;#Pdod$;;|_Sa!vN0P)L&g8(!W9%i0o*0cgI*Y_ z{;#71j%-n<+zp9Qd42QLVMEUFaeA%I&25k6a}J~#6*)IK4x;$)fzvhipTrH~wEsCJ z+6GdlmPfzj9G|hap>)&`_a@x;LnJ2(u67}sXJrGGpUjq@m z@$QdIXBgp#v90tI3M`uOzL>?yar%Bz7%mmXF=^Jdd3gCoA67$r$^>m(QLU( zCy=FQ3%4TGX-6$sjtcNaBMuc@jjG^8q>)v_XyhoKN1wpmY;GU@{Ex%W8!p`g^r9>> z?LdkI&T80n5qjW1^Bxkr=5uwmoDv35nM?R8XqQ}kcqvCmw$ta?tx&OT@ap5ka<%QQ zlg{kGDUF0-0V^6R0n}(tFGxVmktB%6$lD4MM2y>>yadRJsin z8}J2@;qCV>eeQ8PblW?!BywA);yXJhfmfb2o@BsRq1ugowPq2KtTgsa?CZY|gE5Gi z`qR{+{U?>^UAc>H?rq0K$pU+DW7M1e~lPxM~b^WJG%EHp8160A^!+(X62L^uqXHJM;{k7*{fqB=YgTd&Z|{Am-Vji@DGg;XZZ#gf zN>s4ms!{Nc?Le^IH!v&Cx}#s?4A|($?@t6j>td-B($~nwt^0Wh2;kOOx2gXqj~+;H zlxRb{ECt}L0pgN;B8e0;{(mD5V?Q{8iz7CH&Ef_-?u2l(w>&X$*0GD6NTAD5>W?8F zlw|BGfY+8HM^*OCP!Z}M7x4iL|1^jKe*oVF(SQFyc1|opw$NXtVp4#S;1=y4tcqpV zxz0?0hjhN#Dq?%G6}{`cX#dLcw(W*|IPI%8G1)x4e|Mf%F_01^;Nxm^tL1pOG(>gH zM{2@6!90^P+4K!QCiU!sTltPT%cZ`)G+gDE9d>Usb-VH@kA2MsnrFEE@9V}>2@%nL z+q-S+(#xbhwI-Rt?ak?@)A*L2npVqDJRHDQlqv9usGP?#A_#G+i%m6TweY$!qNSqX z|Gr{?Ki4dfH7jv#dyEAI*SB{E++fioovvx7%Z*4_ktym_?B(Qh|K3o&=NpMH1nj|O7URU z`FS)<%x#h~I;YagD6#z=Y!5?|tTKMEvgbF+M-;*K2ipSCnbad;QOkGq-5Q-b3|1 zZhU_5^iE&=!B|W3*5c^>g%f(rWPqppi+(r%oP9?5i20^Ld1d+e{A-i*xbV|o{B~?z zzXSmaL2uGokBaJ9cVi#?K#ioR(Vys(_TLfgdLCT(+U4)%66hVbw2Gr^a@51eoZX_n zBuEKlKR?~+?ZzkAXVJKlU7;5lVv8gH(fY|@DqN1y78h#otl1( zCbT7L_UFj+*r{;{ix@=K9e@bwSQ>hHawOS%7MB7-{cwmNr?4emQKN%!2e;#qTJXPfE|)^`bEMMGDDjJn?Vp5q$v z9y(ifHF0ovoJiMz*%3uMk?wAiC|qNyRHjGAVWXYeUowl3fCZxfd{af9g&b&BuL`TM z1aoHiOFKR(VR6Ca3w01O&ZEvWKlW3g_@8@ZLMw=W;>hfsJtiW7;+RBc$vD05|(yoSjeZAB)zkrrisy8QgI|=>3l{ZtoNU ze_W&zOzFc39u>Mu9SPx@uKNn?R9;u%Y^60(z#(yfQ8#HIk|1^3>kFZD+ zGD9B;`s&&hO$`%$kP-df#4JW|3rw{{hJ+-VC-VbHJ1mG4#;5G%h*b{5@n7QRee~b~ zI-0jMb>g@WdHq}%RkU!eF4Ch6L}%Yt)lL0?gz^d|$%sdhwMmk{$oA6C*_<%^k=^s+o=t}XEg zDUW2<;ID>Mv&O+S(Q{H!eXTNE6&vpsq&k>`tzk7^F0p;|_Z|58_GJoKu+4g5~u zN^X<_1l%&rQ@Wvo`iTa(Tp}M}E6>d)tJa*8mDq5lM2@GpAuf)`t7q-4UD;0BPygpc z5MU!~{!!9{By{d;G9JjU08_~cPp?_dR-U{L)v{adj$U)Vwv(Ej48}5RFo|($1~I9J z=o$I4_fsj`)dl;a|69_4L%O-IfYCOoX$%npQmfuekE}hMlj#{`D#S;MSu;DRc;u`@ znXX#%6YHq%@K-Yq!~J@pS-c`u z8r*a2=o!Cwx=?NPC5U@)1Wu6fD)I%~0w!x;llWW(hOs)3%IA*er~Cv1r={#xK$O=c z19P}YZ-!}xZV@s0e_%C83u)`PyUW$p1I|c8L+cw=J>6>K zZygAwk1aip*m!t@cdv})$MyaVY??B1`H4>N&brAzl<$_GaCR=rFDdYA#cF^IU1A47}NjN!xE%y-;l`UO+cFHlzQ5jrchw! z#hsb?!4S)n+`0}tX4aGblZmx$5Nk0zT-2dXVnAm^W&a^C&qkU96&j;)8I%9;QBb2TdUE^y5`{auZqZ=#A;nr%3{GtHltuq5s6WpK3-xPkOju1f>EjGJo*{wC z&yB1dNEQUG`0_l5$sN-cgoz6HxEV?x1C|D}nS-b8d;UMB-YP1tF51?uLJN17APMdc z!JXg)cY+7EPut3*=a{{Z{&j>P9CfCyZswxj zWS8B)6+%6yd!$*!k1<7a?-3L9Ked;+O_EG*j3md2WJ&((+|r=3Dxu9a41x)U38`f* zuKUNF(7G@)6QkSI`pdwEiDmi%G2;gPZS_#Id4icTQUK z!|{lK#yqpldLX|2XSn1N_h~-GE>VhMIryr4TbSk~ZUsPS)`wpxyh}k*H9x;6z?u)r zL_7vyZ*A@0N1Kru$Vk2--O4tpij{C7JxGEkxr7884FJJ)@)(lh-**j-U@0GY*Dcl@ z#*dlRc<#|B2Hg=i zMhKr1^=|r6MZ+(dMOWefRzRhGU<8!H`~A2OcBZ^|%XcFc1<8o8Z{*p+md{UC) zwY7V}t5FAYFAWU(+MFya_R-Vd!LCu#t06b;6h&75hEOrQn(uK5* z>h0r?p-y={acN3&0x!}RYX9GPK@a`r)A5>N$D`Z6{=+_RXY(V{Ui^Qj2hW~pF-Cyf zlm!|r2rZTFB6sdsOkzUtqgjfo=G@fsDnW!BcO4+>_c_MbFB`+ZFoxHxTq ztnOV4_%qC+$+-BCH{$zF<>u)OHmf?w37Ylx6(W(kp3p=GC8J%Wmep5f_xFMu@xreJ z1Q8*_H|7=$OIBM!yS*%m$swNTPfQpW8Ao)MF}W|qaL=P-T8B1Dh(Pfq{nzy#;xg?v z2dkx7X#7o5KI^v71NIA*tM#jju9e}Jg`^3SM<29vu_wg0-v?R~g(DX~NH5%?GJ-vf zR#mkB6${N)=Ph)L-7wKXc&?Sc9=bXaEBEz(TXsLBdJ6lI21}Q5LG*&;TfzA{^&N<$Gx}ZttMpLU; z<||50Mf~V7@2@1SakURzM{#TBoS4jrpdBvpz-fBkftz{3P2*hwczxg7@wc?%cz}uR zDDuAjDi8@ZEqzvH%-Kc6$F}yMF7R7bb}3#!fz*W|8c#OuZOk_fx+HbyP0CFOxrYmF z>hNSeb7y>@IgWs-T?&F8=>U;8THMTxit(gYkZS6yE8n{P75O^j*~pEx?ALcl*hw-> zb@>F_f-j;(bnhU$vTCt^Zn?qY1G}iW>uf;KFGx@b$y)5!zE^3H3s@1yPL0Q;V@9?{ zJxBXS-UYpj|B}wOt<0v2ZtnTay+`b>+2`uLPBp<>s2uHCdYmu9is;tnUgmFjduHao z`w_JeZd%Y(6NG(|Yd|T-*gW0&X?dl4mQjd zM9h5XBe?`b*CyI6JHB-u0O+7|7{Uwh8h@(CQ+em>6HZ)cBX0(H0Z@_65K^{0R?8a0 zv_3$zldIG4CUE}Nbx#?_d=71ieI~5%$3#~}Iw!i#Hk&4~B&$hXmH3D$hxxIMYG=XV zjhYbDRau<%a!%}=$d+|S<|3|nm#TojIoI;J8{?-BhA5jTMVI9D(P4+~(tu>F_fqo@ zX3?ILNw=N3?h%K(cK16}`oZ5gxj~FK6(=Cp7{qX>4BqlA<-fwswAbrpK7`|M%9A@}f8oZiZ^Q7JAVXj96q#^jG+Ql~P&5(h=s`@X; z9Ar{pgl|sn5QPQIQavm3dsCo|_OMsx4TbBU<@|Q}-M`d)=B2fK+5K)N=oEJ45%`JT zv?D@7r$s}t98u~lyRNLT`THlF2RT`WTl|C9BI7VN`2)7;-kG<$_L)W`&E#s_KiA6$ z{g?Fsns;US&soZdw8{nYC{;yAJ+f)ULK#VET3<8Gv^H8E#<-R{ep-avE&NvcmWlDt z)Ye`FbC;=b++$qq+Tf_3my}d8+_X}r4aX~93&%lXSbu#(k)YV~unXo()sMgfzJ5+p zdDF6>pM5h9q?`}odu@ta1~ThH*XP00!@lGDwP=0#_dHAosGG(FpA!F}dewj7oAFq# zR;RXQNGH($gt5Kk1dtGS<)N$1I#uT0-qG-+`=SDqnvWI6qe};&iED@#2)UM|q|!*q zZWz{CJdLeqG1qv$UhBVVcy7%bLHk-{*e7K0}ILyof)c0^=?)&+Yvnx6dOgwAv5X^%yz*K~-354*Cv@PgGRq+HWq@MDfk2^UJ zy75ow2bES+NFGMoe58FQew>O2&PUDVN-R%1TFVN%}wCy}ub zAb?!0IlxL)R+#e9yJCnStv zUV!=Ym*j>c$|WHe8jTHx^K%8g-pKg_ix{~9gB!*EnAbIb6F-Z#5CsPo7odnQVw^3Z zYQGKv#bO7JX$to{G=l}=JWggifG}k~LQ5C|ykkCq6NKB*?YD)*tya053BGQ-qVsXA z*DNS=*t5samBlebychJ7OoX@uFlBH4-|L*M%fG{wr@Ht>_x%TU860$_El>m$M=pzf zr-tz8P(W|DsTTEZF;FTH&9C4CDK%vl@iCKRY?^S)#%2K@bt&E!|4O10BcY-@t76cJ zp-YI)Ynu^uTyd=6MvC={t{+QE|Ed$^(^z2K(Mji)Av59dXz|4y)}AWq*Mq z+^lihh_$1`5}O;^w7SJgllOrL@OH$4v@YnxY1i6;7x6yEzroUEZBMAhTs@p0#9;Lf zLyd2n6j`#oa{tm*lHBnJlnqcn8_I^h*SRDU7|LtmD;FXVufTJSRq6M+RCA<<4W_cN zWXS!Z`yoB(VP&Y$hzilnaU$Ah$>r0r$Y?0(e65WzXo&zy^n8OECdM{L?XrhzH1!K; zf#S|13N#WHIDyuY(2#N&}w1<7&XZkeE=nTYzCpo5T?D zG|zYpZQRwxtcfrk|HR<6zDEpc@4dWJ&udL}TK*Dau}o(nQ}WgVj0bdHesDfvJ>rwh z5gmC4>-zx4FE*U=O~m8n*%|t>dH4bCp~zJXuj88bU&ie&XdvPO&Ip~J3C$!7QFL6y zfTUF?tR1F;s=UP+l7-1$PKmAwGJ@sK92s;fnv$2~;aa_d>W1PE>ZmdehN+yQLixtPH7B1m&rg~@yxU7Ks{27_x= z0UN4s1kO??gb&multfQ6)dj;@JaEkw?!l9x!+x`zs+Q*qJ56(wC~R%9<;k~B#W{!@ zUb}YXnEs!lP4)mfl5sWZdoB|IEl}k0+zO_e^r2LfI@LNT0+>h#b{OHF~1SKzu&V3W9YbkSc03q2>>9-(@YBN$4RWxA)z;0&Sv@-<W8+DdHYH<}QLs!jKFWMZ5?wEq&3YSJROjQ6snC2+A1yaU@D z#39_`)4AF&q6`D7yrfuigpC}2>+jRkcXcCb%el%6GO+sQ@EL0>wV%Sh-gJH}|2GNAg~_$z2C@RaHyLR@9!ILj&~1e(jKN5}^nHsiLEw4V#d7s*Z;~ z)}sHY!OGb$yR?mbwSqTYj$JR_Kzr-MznfU1{%HUWL;wP#mL+v*uW-WajN}p&7)Aff zz|1?7hBntkls3L>Oo(sz0PXcfYY@b>_fj%Y?WOldmIFXk?!bRs9rdF< zuaWt%#(7?PF`d^IVHhqLi7x7fx5?K2;yj$?#o~9SS63_3(G50)u?Xl0P{!b3pNFf1 zYw^6v4C8QKOzx3M>5RK>+k)f1Ksa|icvx80(n8!pazaE0*md{v*%(4S>f@BX$e;eGxU^Q}0jPv&uy{z!_%fa0B&|6d3IL-`yBEdL?&oPAXm;?~FX zfi4>HH0^ddqDu}6qMI{a)SZ!jY)35Az|YwEo=;ANjL}oQ7R(Ea-fD8C7+EVrZR1RB-PG*6e;8=|ClVfh~GHCSJ^DR%EZ5(P5_WhjG+=O#$fj zNNjW|CGLh21F;n}KEreIE64B%seIp1GAY)Kl!ZD&XBr1y);p~gcoq1S4q*J(2gWk= zw@52t(FV}$N+q5(zv(L42Ikf}(?ti;G!7p(O2=XZZdA4mti1E>G^bXc=Jvl|CC7;nxYO9gz+6i zXQNWZvv%a(B$mXkW0q7@$Ewok`wIYy%Aiqf7HZGbx>!pV58Koa3JbQ8G3V z0A|ao|ImY0Y|sL`1!#8Y|(>0iKYYg@;+3w8LA%!6&Lpm@!Gaq zsyfmbCWPe=PVZx*qeDajl3>b&=6@$r>$Z1QA!fiWbL{&{xN8zs8MJ{I2VyqV$`Vbz z_JiBJ=>=iN4oVJ;cR{ZDqFbt=qBK&hwn`TL0yHBjd-_{;(Z+7))T;RGUb5uIaoXJ_D&${Ua01Dyi( zSOYwN^$-%ALas9KC$F_%{0%t??1sOA5(KX=e)-Xu;=wAbw-tzs?1+@YT(-E`N)ZB( z{zQ#oU)Au z>Iu|*w%M~d0VZV3M*t+%OTIt^p)~}hrK{tY;q;rbIj)ViASH7qp_cP-F3$BYRn^dR zQio#Rq=Om3M~vvpCC)>Qiqs@69lm)1tN^YD8$Z}l>GmP<7-13!7yJH}b#dx&q^zZ$6T`15dxDZKSJ`1PL7Vy_Vg$RBbTh83yG#E=y6~ zaSpsNxbX;{WW`aoeI!_f75(1flI*uvrrCYU%IY(HITt|B|(a{y~NgG893ex?+)(g?N>dl!QZdQ9+lSjv-7Zf~#n@q8vhIZjr zk-sjN`8Z;F5ec2cVURS#PF;LwtAk&Tko8k)4qnLF@R&p3vyzFSuT9B&Wa^OaCe`Ay z;rttU{cf8aRszuB@!Dg*Hd9bwl@lTIYRUtgPS{SH0>;tT@-}mJwbOj5SSP%qww#)H z9t5|5`F;+2hZC^F~d;&PH zR29LI@ZF0}W_f#QO; zZCM z=3V!(o2ok)Ap{SP4lAf^Qltie7^*P6(sn+kg!6C}JhkI%(8Ul<=6L|5+3IFPJ{Mcg zC9nc}dA>@Bd;W3TR2(cAZj}L)y{uBg^V#zQygVmD+{tp%yRvp99%qHgURziP&|8Da z+YP#<&?1Ne*Al&%%mNw$Tw<)nWc_6%3Iz61KcQaWn|K4!;gNb_T_fG%?_=VMAhAGH zj;z!C{hJe_fW_c!n+Q2n(^t}x>lW29?<7SEKh|pB`5Z`dfeiT+IlneqrXKqX^L1E` zA8Gc$aa`Oe5dz$Nt%MiHvL5>=%TAtxHCwq>!t;MyoOJvbn@*xjw=py6AgTY-MtJGG zenH8z6vhuP*Ap9;0*Sm#{Enh8f9zgHbh`~6&xtmkLUob`MIF%1vm3$w#_6yZ+O=G`Q$K2R*f z0m9bPq^x;Lj)lzo$t*$ptKT41y@9P+4*Lj?jr;EmTY@pZBK{YXo_wYpV z>f$r+@DgAmA;mLbFpy$iN4C!mV!)-NrqgZEF6;h9D|x&+OL9nbwB>atwr}qjQ-2oi;Y%4LsD2prg%m~V zFVlfXtj15+wBE`;k-;aPr{@*->_8_E#%Ps{jk=^{)}KB@xjV%a&nhrs6AYsg20ik( zce$Y6{GYxJVZrTPIfg-=Tg0SuN(};<^3)-1TOHhOAT1f*11}T`)#+aabct;v3;~9?y2#0(xjn~ zb}Dr>tEtuED<$)Q=J2`@&BJ*2+zJON8Ds~q7PipgdSHug}tsvAUqRJYSr z9D83Zm2moE)(Oe|1ImAPAcfW6`8+q4gW&7gF;lU=DzJjUH^>eYjYXo_HeOyV}R??}-G_NQ&Qt3A3u6J>3^ znJ{puw;jNUB>i?YM}%JBqeY=++qgrX0rGf@bf`NyiWhZ!4Fsdft}xjcA;9yV=?@&-?)dpFz*$?& zBTa*&?(`JAq6W?vNL>iBC2fpsgSz=t6m-?J6OGrSK&Ze0rgX|@Z;Jp(Qv3}vQxNt* z5~OLp78z&w2=cT~R~`i*#2(j=1C@CbiL*bV}Ezj`o{k+ThL;ePcH_Kn= z4Mh2#-viwvi%buEN$RW}58rG(iG-g|YP~!=|7Y6>7Ezi#xGFa#S=Xu;8KM&0iGqy8 zevq5Xat0GZSdsT>M#4TWLf`YMpY%uQy->OZ&>dYVLzW=v&{BViu;UwQWF>SnAPDe_?fn64$gEC+7U3 zOoKF3H~e59?Z2g5y>6C1F+9>oAG!D+tZxo<9n(k2aPV#J>9spuw)55L z3UqYBE5zYq-)zaFEvDF_XJ+Sb5dBxZVepY4_wo4$BDyDmJfl@kMPDVEcj;A)(IMOS z-$&`F%C^5fr{)h4@1mWup2w~@i4p2sBl5yKrav9*>_XoL7m7J7;CkWP)h+eg#K%;Z zmBXgU_ZBpD0YQ&%d`(-*$$$1dLTK#DYe0CI2lthO!ZrP!V#4;FTm!W`D!N6AQY`(a z$!uVny=p)#srboy{M@TCJM0Fvq?%DPR^*ZalT|)y4|ns!`IIzXs=;-2NrLF131WDh z)F?Ne5Vm>~Tah}~UteKr{j^~?Rg6ce&i5m3csMaZzS&u6Ql-q>MbfEUqNzj$T0%-$ ztPtctY-RLVzuQHDn6y6Hnvz4*pk}j~ZNft^&MwW$@pm#F1wXC0N?2jT;(iyLURkk; z+eNXk;?_HZk(p({Pa`cdOY0=q51a{W`B)_PR*iJB%ad`+*eD;i%H;j5@dBKb1ZzsyWiO02fzv;$~#`XdHuK- zj~=6)|0F_!?*c&yLDN@Y9Q3;eS2Ag&}YrLfg6wdO|=VS;k*bC54C8b12AXcfopM31v9Og*) zN8yWGK33zsfD_l?2Emwtpq_SAcH)JT$JOj7*hcQ4TWO-C&-F+e>KyDC+_#-gL z&01@3O2%EIeB#vaV1LGX*xAP^xIXQ1nY$t3cDU*5YyB!yo5&Xt55}u758!Q7x!^Dy za+9flT6{vn#K;dwYA%MR0ybxrbk^kr(dI4mDtYh1?KPV69-t3FRKus z7c?X(J*N2~yyW8+(Fk~kPO)m48+#Q0B(L+wEn(fnkq7PO{vvPG{?zLhUh9uB#SY0Z zeNo#Hj$QiS2e5oA907>0%m5>x>_9O^cFqH~3uex@bF_W(C!3%sa|O6&VHZ-UMi~=x zoRUZbGoIkT9*GAUx3!yU1b9RYoQA|^wXUDCd@-r^$tsO9AHtmoVNekoJexJkYi;0` z%P37OnpFGM_Q4)klIQ{Up0%IdDNt#)zLGN}xkbI#hYP#;P%Ezu?57dZGdM6Fj}Fcp zd6N-bgm&QiAa3&XbPH_!ubVmK9~uYy+Bm)5_|oWm+&I1QGPY4L;d@sbPwVF@;c_HX@cIbGVuRZNkCtqjKoxqmz1#IQ$|EH2ZR3* zUd{ByMIig9Tc5GU(IR1gziq+VMHY@y_{QXpwB(M5VqL!F=mXXGfb_{sgiJqS>w^TH zCX&N%t%68%Au2SX@9Ui&2}svwnwMGmRus2`OyCyHE|v}}J0YRQpG8%N@j*H0tek>~ z_f?LpF>~6RZkJTYQF&Yd*;3dqOfZ@(DxJB1xi#>kH0sLNXd(kXF}1A(>1Fm&JGrsA z^@B8q1Il~yN?}3HK@AGRk7j8pW@&>HIWxU4D=Ak+P@G0*11SwQaNV zE30zBm;B7%tSi4AVn;G&FYqCU9}5|8ZjW`8s-jP)wRcV~ovfyxEPPd&)|>6HaAL_v zF;L9JWDc6|3b{ii?k(3QZOCSY|z74 z3&d%&F8xzGLSZ)xeyJwQQIM>4z#TDB ze+x3Mp|}$F#tTriV2F3TI2mY{g~0Y3spCWg^w4yD_XfpVfG0e8ztP@c1|=Vc-u5WV zR2_il5s>N^Ptn18V~zr$b=NI=%VPKJb)%-`R>K>3GUMDD2A?VkzsfEQY;ffPj44f? zRuBPYZb&>cd_&Jl>@jIFo*)KetYF$m!*SL6RWhX2FpQrsOeS+;6Z2K7YQs)#_o>c4 zs{LZT6?L$PfWjsAI@!>Jcq7=G+&i}&tVGPSndINyEg;ZHsEeCrgPX#SkXbyQ9qFAC z2xxX2zbOg!BQ_#LUkIb{{BzgwOa{0eU=!@hzqQA_jx{YjP7AnXkBQ)xCm8Ju3ZX?cA3aBHrCI z;dAB^ALvNyE)aO}@E->FkH;F0vS7TS_hnx_X$Y-S#-g0lUh^l!c^3%0u68xijsb8S zK0T5b_aqnUy0zc)Qz{w1Bz0Ivh*3XhO*+>kuS3K@no)f~&z>mmnz z@jm7!=a2`7YOAp1SYZm%iE9w=yWv$B|59!rNLvjh=PdY0;MRM80HNyd0?46d)l*7- zI;RA14vCk{ZxA5zybyKQ%6H7#AVMqYsE=fzjrBpwm<=Nfi9~(op0r1=Kfrb9gQnn5 zE$pu=4OWU|hClnI0!ytJ>^koov-&g>>X(XAY?(^`N^ z4bA_qw8_koDTo7_H`6BA{G8JhM}3b>_`Wn222mBTBQ=3RhGg>8Wa3xfJoqEvi+0>n z4|ve{Tpn(J9RixErlBs6DQkHT-4cM+lf-$tI^{Y z_fqHJK#doCtL0JLisbE3&3#FKWx2xK^|nSy7>Bx{`@coGK|jE-6>*%n*`DiChS_%d z=g;M#Frp|&)p>oy+9=VIrcEF+eRIRJsNIxeS@DFJW9bo^KdtIh9+ZFW!w6 zLw?pPROeL=@4`oGu#$u~2YiT(NxYXzjtWN|6o3$SzS?gjCe#QH&E0W5g68IJl7P7U$R<%f!XD>L?r9A*Cl<4NQ|fDk+%U7xu(&QPx>P0#3zVuA>Gr zT-%|*>|L>w+qCtTmDBco>Ao#Gi|qK<_Gdv}i7RRYAjJ;GKj6VN6QI)D@Mu1pWkZzH+w2=)r84EByNP~(!6DO_tlplBi3 zwf}6jyJ%qmmFH}0gH!gX#QKKU{0G@sqS&9cyy#v+3FWo=C>>I00Vc}FrSNhKrIQ}{7avEs2!lgfOq@Nt-0kN48GP!|%rj6hb# zu>r}FL&ikPua;e7)a~VnHutrj)t{M#Ov@QS=zw=dw#FOt|Gd7tU`K!!?JLR-9wT}` zS3-qvD0egLpPm*v$st?+ndrsuk$XQ%1>UkfvPt^w{(pzrZ`QVkKi&bP{7r41M^rVgUo4rqzJaeO-v_Aq~Wc=&U6ZdNyhn( z8VRkD6G#w@q4zLh8Nc?HL+KxBehTht)6>Dg`@*$;7o=GJ-%8*yF=rtr`ejYTtZq}p z4qoO?CuX6B^X8kQM2CXMeIn7{mP1>i4R(mT0Y(?SiWBAL-2_j=&Y_bTEYRnVlNK?9 zqzos$!3!7zE#%rPxFC2!XkjTEoDSU2RX7)WX-~AuhDr)VC{Z>jEY-_3y*h=&J=l|VrLu#6wIUM6{$#l@VR}Pq~oMM z?f&l!3wGx?sZ-K6u9G6s`dk_KM1o!TX2#p`goAXotuNTwEJ^OtS4KI@o`>|q9Grl4 zCsFz5bd&GbZNEMrw0MBLcAFDC4a%8-Ab1fp&hM29B4i(?uV$?PfgzZ708|GgOk~h> zl`f>ulk__!=_5^k!Rae~8)BwkZ9wQstLvJMREdV0TQK5&3y%Fmt`i_>?1ue0oT5Gb zOXslQqta;j^xrh1H?1U9+yINHoWm-A@Giv#8oYf+pzm7mlTgA(hNMv+XB;)_Wg#yb z{1zbcH|DAudg_A2h~F2uZE{3j&V=x>NtgD2O0>j2#!ZNeB;d@4w^+oQB#sikgA2Nb zKeaH=p!M2}xs3bRC85Arc)lQ|%mEhQX6M7KIV->3kMjov4l5Kfp+lnI`QlJE^Tqux z$~{y8xW9~R3xYUrk0$QZJC2Euj=;y)GNae;Pw$ASpX+RJq-MhrmRTM&rytbo2I8+KV0(ePrDtVT zLC$>6QADM&_qiVJql^pA1|bWH?~Ll_a&7 zdyCF!#EIxd|*IWuK5)Ktf^fTs$3l6k#}5CrWGVxqV4FxU@%3?zDBq(-QR;khqq*x zUQVp_R%!I}{1g@5PP2!Jld0EPFEITo!O13Y}6SU~Qr4N=Je>^k#B|e~dKOXg!?4^`% zqg&YpWU=qDVW!03seY-WKD5!-aq)f5v0JdRmQZawku)pej^Hdf4vWHMZ}E@bIieK& z@WlV-<5mMn3H3EM;*YHBuY5M{eg3>2RlPAte;wQ1R;gCO==FO?9>^>;)Z$&d+j}$F zFGJaXHDQ9>ciGqdcvZoYpoloQAT7{#u!Fd11rc>!aFQe_jyFHdqbeAS;%gA~WPn_5 zJTsg!KB?ChJJsMM-~}rqMbCqp8#wq<0oE-))|V7Q{YW_5?e%+#FX~0BvpZ0wOkZw2 z=+^#a`}1-OExPXqlz~s;BZB^dZ)z*VL@^5`YyL{kd6EHX#59e(Hz3og{6?@YJ2^I^S)_SJPdab@a( zaU6Q+A?+l^KY$n#ib`AJxy}Uu%&{RTO?7ivK=0&lnC#3Baq-C^(i!JaU;7A_%a-+1XD&$Mr<+b+w@NL}R(l`wUi-68Yt zNLIdoEFrOHeh48k}8%qOs?C_NNgm)SeHBvwo!V^$j{v2J#;Qc9H0yz+G4ygz4K6~iBn5LEi$1C|=x z!hQ2;OHb>JDimUh4o7x@X;uZ7HuAe^w#7WTlA)?}3jm}s2lg)yOIS~%M~ma0vQ<^w zTI{svKjfLX^J(EH&p!wH1^SG1EQp(SMxdym6y(k9WKJD4-;XwLdM|^*Dt?BBB0jUH2Z8QMn35r^0=tKYj}-EXU~_7GW;QRN$c`XlY+i-q-BZ zT{5Hz!t>!y|Mux6r;gUq(x4n_gtTI?@&3-EgFB@Qa9d%T1*uQbjK zPnpANBUf?U)WlzfYqg^jqo#xRw})Xwe37qGu9YV07ekIo+;yX`UhJH6f@MEdHx9e@ zmhsGm-5v`I9l;IX^!$Qb^%jQbM+0YN?~~p%e7k#QU7 z2j65@cvlH~Y<3BaNQUl`-}aG|s`?y4T>$=VR8Ke(`e6^)qS>d@uxbuHVG>ZE=2$ys z!?-OsSrXgO(`lD!&vW09{1dM@77_+q$U8CQzHsBYeM4{M`o9`b8~&rtyZWkJj10-p ztj=E>U)C%CCwu%~Y0xx5#|8Yl;@XWrhBw9QyOu%lwQ!W_(0>~+(fE8N|NgLs=?tY+ zgZE$+oVG4G??)HaN#@ptRVft$l(U_@n@>bqIzvuplXpHdfb1s3}rgTz{@U=ohlF93;@m;V6&^&tn{p z_eoThRJ!H6O!MyfMkf@KW9RBs$FALYs6X)Zs@=Sp22=B5DE~$i-y`;RNFkrjO71=)Bek; zZy9webODJpg}Rr^Xh^7RVBMg!Yf!uA>>v;|4e*r>ZUlm_Z#Sp|Pv)%j9h7=A5oAAt z3cJHu?}hT%ctS*Wo&7_bN3N7H{APlR1bR9Ab;2`?YKaEb73wl-t^$|3m`wVKR7Y|>UK~B`&L3QU%Y@BM zgAN6*haLV~ED}^9Z8|<4MbPB>A91(yb)}O`GcWt!%fW*9&$s{B-mrZaHSF$5u*jZR zvE=a9Ol`O?nEj~dm?)&BIQYpSRE{R*4@d;&$SMq`cpTb;bR}k>Pk%6BQ3r9=|ERdI z@AR0f{kdp$?tW&AgTzhb zgisPVwHPD27pCG!X9zRChaoEsuj3J3d2Me>ow)4AcaJovR`8~eOYJBJ%s z9H=AP(>B0q1qDGAk-Nh1OWH%v_X<7(N|6ot1gzL^?FuQX1UEj|FD}4x+LZ#7MzoJs z+F&`)!3?qhT~F-NMa&o6Fk)%$Hq2PV3}rND6s0QH=?*Cf+pwN6KnpJNp+l=+p#UXI zAXm2(5QHYo`_nLSvRd~7ENo;8sVi9|X8wNbZ;oVz-1)I~4j0iSOs#z%vk;`Nc^A0oUgws99#zF^ zP)KA$Q*-?{f(g;;c^|1x_sbI;GI%&#*E^$RkJ8~q{>*lF>`(cy3{` zR_4N~yN|@}>MNvrL|AMK*~b#M+SWEVbsuAO@gSnK96Ml^E#Izdmzcby44f*k-Y74` z4UN+;S%nd`BD#t!%r$c9qwE}&XofLf)y&6u{J4B!Jn2%MKN7bvMbN(wl>7r@Rl!o! zH{^LVYE9nvr4R=rN*}mtCV8!(|Sf5zqwA6-7Oah*GpG%cR zGQIdu^0Hu<1LS}Vxrj$14Rk}4d-+$Sh*-7-8-I7U48~|h;G*Fik+EmH(80uB(u zv`HC7?z3P+FmCw|g%)z;LF=ipDid8aN+0$SP5Go2$G6Xbc}}axaBEO$AUV3QjF`;C z^~|;R{F}w#zFD>-XodBP{*$j>(({69C;C|}3y|rWr~%o#-*@~{;G7^cN_nDQXBbkg7pXcc?hxWdQa{OSwx*EDHD(p8XK+Z$ys<6O{GO;oqG@ z{I@*5!}n&?!>`#->YiJ{1aX17hj^%H|MB9A-pf*P`snu#V0(Z<+g@}hpXn|*Q3V-g z*qGR>?6Pml&o9?G3EVsILR@km1MUdR0oxThU~U6$cRzR^hM#-|LK z4&vesW@^7^N_XZ)B+iMnoc_PxCguYt<;LC;nLQsV^psnC(i8TbnUa5ve* z87FcT-2y!nuQXN|Ij;YDdJ-k|$?)e&0NDkjsPGYqkIMN(eKHi#d%_sNQz>CB69ijG zi%1uWxYF=U&f3E^TGUpK7-k{D01?VEhXh_Jos0HIJR-~x?#T!BA$94;@^;AqJHL>1 zO@c_v4yY5%cBf6t;dIEe!eW}wm{ghdl}|;Q<}t2+*}pnKV{H*lMY_aj$j|YxDgYbK zfuV%2pIcLX`u~ijfU+2&wmASjvXMLYc?4l z?34u~hz8K0mT&jAt`hw|hgnwnN4rryTQL6GNtDPS2A|F8lfH1{_)4srTJIM z)3zUg@CpFe6Ki0CMHK+S4vXFN^eWb`<_@dSHi1z$$%Sec`Pt7l0$LYusXIx6LL+$F zR8X*wjUKz<)-9g}Bsd~iw~-D`o&Y4g768o^EN8FchA<9zGCunF##8U<-vS{Ei?5Yg_{)+WSdyPtEh zf);;#Z20qAKuk~u8qu}bcI=R2wL_~RJa zpq$wz>2cP?mc+bu0yS=W4LXbj2?c%Jw;d9k37`<&r9e&#J=Y52g!=^v8`!A?Sh(}o z`gU&r(4M2t-scxnFfSRwGWqUwxQrpW{P!F|+rkz=kZ+YCWlZG)4A!%dp}9t0@38>m z(4`CLN$zL3^C#a1`-k_5{oHd`41e!n|)$9e4Z)98Wm$uYrBUnO3vmtb*T zw1e~XYPGN0*X+lUSCRcrXPMJ2^|Y=7Q!hL3e=7=dDcnRj$uoVY(PQo z%?$$_6p(E4-uC`ZMS8w!2;}-j*)^;b*slj*DD+ikJNXqL7;9X?8G(R^f}_&gFneqW zgk0GtCmO*xBj*UPD5r)D%6@@6ayC+MarV}qF`4zb6qDxGrw4c>I7vMP2hE>MBbjee zzAKjtQ1H2q0DB|Myt28^^3_+v0M`^BRnHYza($1&eh!8G4Bp4iA%|(#0TlWz+S9}X zsJqF!e#H97a{!b&wwsyz1`)6}i;D|B}PkF=+A3Xo85 zPeJC$!wHD$7`C1E$Cy)jiuAA0$-zBZ3eiUAE9#;XKo~_>-w}9>L5JxV;us#R8Sjt) zkvFOLTGSKys}AApSpZb@QSi94{Owdd@l<~v-Go`??veu~2TBgyXB-$%{oXq@H`m1H zKmYky=oxzS+u#27y;HfeCigrC3`fvCcP~hTBy!}f3A7vUbvu4{ z0T&jQUZ&11z`>_6{+mwIlmBPUgU)^X5t?V|BlVRxu~r^u!OLO^TBOYagA;gYO(G-@ z^E}#4oh`#~q9J(mF}m1HGjGhX&gi76t0*#9gqUY=tDJM&xzDh3x&Tv#Qmv8;uTH!4 z926McNGus5uVUfRx4*9_a1juek%Xn{ULc3UOb&8&<;_!1ty|RSIViQ!CYv{I7|pvt zfz0(c$yksrn~~m`Gb~En1Pk*pu7sIFAE4DVjS?F$s#|3Z%~G)s%sJiU_qcv1 zuhdIakSG*Oo&?3L!1#8lxxVx`yvsk7#5ggWXW_ADL3%z4Qm!xt$Ek1rnHv!-PN4)s zF=igZiEGR0+9A|s{W@-}#L6V|CA{pgn5zpAHc$v$Z|cU=*ZuA>CUPH2*L-NyZ-IK9 z1@uqX(n__PmQe6zy(ZqcSSO1@co+J^C~iG|3Q`YNF@py++3pQB>|rW1ECl z?Ep9~f@;jMU0%FIxT`lPp0SCScvc|{Qic41#2&1S983o<nrq&j?b6ZD1bB*#?i4xV z{1m9dfix(}pbHzOQV>gU2PgkDdXOUaZlG<|)Cc~UK$;+(fL{P=K2N?ANFe|;r$ZHY zMQG7DSDml=uzcE%V}sA501(6ZnP(cr^Ij957)zdS-?6V)mVH6;w_`k4I>oMhPGzS$ zH#ZM@eaz9G%=fsSDZ|4a^E^R7Cueh<21v+$DZCuH4tta}kkCFHo`mcVfEpe+wFz)O zNVE^7eifNyFttRHPq1jGIqYXJ@|iVa2ju$jV;}oiad_?1^IS7Zmyo$%Xa0Ed$tTy2 zmtXFG4hRJ3NpJKAWx8SHI;(?ndl^H}o*qLO*v#{8nP)B5c0jVJMm8!&|7Uy_WjTZ; zk8PJO0SF!^H}f^3(98hDO#?az9JYA3t+JV$Q13!kSpg6la#YYupil$Hng9wnYcdwv zyw8;xYn0*Sp~s}_*2qgHP@>^xfC0#28ov4dloy=my7LC|J{&icx7T{lI2Rc))5A*u zaXS?CrAl7!wiR()qg<8vf-(psadvpbc|Y2@X})3R1mF7scEH2VOW#c+-}_GFfm0a! z5fTxASU{i!h|*xa-5?a;6wkZC1g?kR7{FnZ`CSCnj?^LxD|y_ zxX+z&(_0|FBlYVUxdPCq2XGl6o1t#)Cx(y|NZUg))NYJfK~4Ff4ru@+50Ds{-q97H zmL9;Hkz-7dAHdAaf?#g(VFJdPdH2y|u_X=gjE{ zpQ#+4J^C2e_l1-wZT+9{1jU#y06n}e)xq@etjnH$X8noV{UzWA$k==1d=C7+fkl{e zTkwan8SmjSU9^q+#XLg)3a?~=PiE2Jp69s1m!8iUL(l$Yd70=1oKN*?H8iPwiu4VD zkkPIobq=5qqs0iX%6p~5yk?}Z&dV>Q?AY;C*%Xo6f?xT{SCA=riIr4xU?&{F+OB)@_1yAK3pW%5S}XceuN+0t6Ue(&LV$@7 z5d8&4XqXhtBn2sitqh@3i?l9QjotGXLb!1;Yu*gKA@qufbMvci`gaB|!WFcghM=2U zxj;C{=i(Zb@><01gbd#|HorpHzb4kKXu%-E016IP3A);~|v6YQ8TMPI7r_G<5)?_KH@TSPP>;6BHV29HS-*f$Paom<{SB zO}GddLgspV$IvgQu*0pX&o-0-^f=NmR5Hy)3`M%PdVVkFHEW$H9A^ZK=XXhfuJL$0~I22&*kQ=K%l6E#be)x23PUYZnswO@>^wYZAO~}U~7VcxQmSdPG9d$H{Fklw~u#`<74!c6iq`=-cO2pwT}C%nva3hk00U zsN&uG>AM<3nw}s&@6LE{Qk#m3%tvn=?*fC1=X2mi@I}xr!ZE^Q0VIJtKLuEBMs%I) zwBh^!3ej;2R2lv<;n9ZEXR7bZ0h`4OymubqeurX;x?WECZO0tYdyZ)&Jmn1Qx`G&| z=O@D;09l;FBZpr+FQy`&$vV$LoCJy~UtK0cIY2kTLBTcm=~<|V6X2iE-TQG5r?e2M zoZ=YhaSx91|GILC?}L+o_p(f{Rm1N!f|zlS{&eYa$$MCsidtvNDca`s4+04e9!1G`4x_$;KKHrLr4N1RL&Zs{#||M4GV-bcz1{yxe?(&Ku^M^(^I<-hrZC330-Xd^f%&?V5q`5M^pB~ID+ zM@4_nLCWd%qdr;>;}sJ3Ba6*l_l1;06Xw&)$oX%GXl^yPd?*8 zZ^DYekGzzSiA*)3-0HtOK>={+87R0$9}z$`lIXk9Z*S7L zVqLG^0v-i_kZmKkAz)j@XMPiKaP1E2YVcGQAnwh=V{_orAI&>hp-)7lDLqxUTi#m1 zH~HeTwaz|!`mUh)AUGIcA@e|Z+d5tu2H|Df2eQ|dEMm_|e%L3?#>5rGA-LL+DGgyebm z>;I8DdJf{<*L7~Ai`dW9r8z}qBeYB70>^^=VVmG>-hSpu+v~<0pdK&6lv+s)e2rqF zzR*VFsFjxs9ECYv{tCu7P@(+^ZPJFLSkNi>ckpUd*{J}h^;q?(rxCsoNVY)-CZ0?e z=U++gpZs+kuB*tvfN+fZdHt4f#ZNVZX+n&wZ0c993fv^4Pj7#upqqv1pwPD z=#A76>>MBCkZKXdisU*BuMAWm%jljat`6X8bdHGt%Mh;m@; zd|Fw36Gg#zn!?+$N+`ma>Hmuii}rg1%}l=|&7dV;X`M)mt?yuD{AyZhoIq$N)Dh3g zaF-D_bi;K!{TZHvfP*!{i%!lG284dIK)yji!rMVBO~M7E=^Z7!tRWdE#!j&4x$$0t zZRY$dyd)280)_@qPk)JdgTA8`prMQ^&pd+`hcOVET-GOOeN}91B!&S14<3MA%RmWW zYvVcF{VnjP2bjubsWY}e&2=uMCb>2`c&?3aszk}p-}-Mr`&*x~qoY=`KVO8lI_Hg` zlVL_zL9LbtLYk@=nmiqHX!H;P%ZF-zYx50bPB|5o733i}27m|4-69Zr*VJR_LndmVCJbT6kPizo`l z$ul}~B`xhAPtT0uJv@RkL}FeZKXr<80g_P~R@ttNPo^syFjs3ZAsF4Hub#*9 zTLXckEP%I~C-cJZ(qHPTHE!nO8^x4ieC%-<%En^xt%L8vX?esj;6U&@+ zdR_^>Y@6V};E`aG091Go`k1(}-CR*16cluSUo+l+8Q@CrN}y0LLJhOsH}wSfU;pU0 zU5)ZYo+`77V$zt1J|4)Rp( zr@V)K)o`f=NN5g4y;L;-kr%crya*NjZhRfF^Zuse$B(ZA2>$VB^D zkB%|<2msZ5k8#hq55F780^xDPo*wn+QZE89Fh%hPxuBV0e8#(ago&erQoA7-F0jNs z!bsJ%C2P_E1yPtsB%3YPK2|?G5CI)6-|&I1FATjHz@3wypoo*wX5=I$#VK2y=Q+qC zD&qw(GA6dThd_s*1BO5ua>|y(i&pT+u!n*jy;omLiF5$2r^EZq^)sN*BGtacvu(m} zB&Ad*FPRY(1P51Gb5ET*ndY8)X3djOkih35HT!KfBF_ld-!6*Wi+~)4bnW)#zj)aQ zR?si>%IoO~2hS>ioIdY72Oi$9JloEx(-^Z*OV+QMVHUTkJGj;M^Z?Ex0+RqG&mp3% z@C>tkePD3#2K49f?iH}2tvz0J0k90L!6Fx@Iu$na$@TQ`y@tsy-xFS={f;$Q>hjdcp=Z}AK?i+!0+Pxp`Z3AuW?LT zH+UIK?6J! z{uM(Cr)6jFSW$a1b6N%PR6_;VDH+ee+Bv?nqbvwme}(?g@&$w)54M#pz;uN@^=$oT zP_$9tF@V}#x3j#kW|z*UrIqu5gO5huDf6F2c$y)LI)xF#`njo~7aVLX6H=7T#fi#$ zfjvF{+I77GS;Q&$Y=aCjQ^5m9FP|uvFr|$pz*z+B)o~Q{2ubFqYu6Ve7nxp#TP{2| zxu?L8K2!C^AtL8I0xwt;ZXms{3=eap!Fk+&vk;?RX5O}ECnvBVelE>+s_E+7x6-2% zZ)M&6I=R$Orq$Y2fWpUECtTMq+rHSaKo(4mFszg#7$!I>@8qLim3v8T@{}#DoC%Pq z(Kt-K9$fG_>;OU z@K>^9Nsm2&9dpwOC<(6Uy=UIG?dlK&0|gZYm(~C&?qT;9w295z7F+Rb_>8qZUCn%O zf`X*94N!9ID0%_F%BjcE)jYQSy4bdoU^QdHT#r5zr-uj`i@0K#R~>@|`h3>fYzU&+ z2L#f5W&&tFd!L*8l+PH}@r>N(Fb;5#Ys3D-=PL18{PzCwn2RaD_#8MluJNQeG5_$e zKfONgWtnXDlcGO4*wyzj^f}0X+r>Vo_PDR&B5m}VWLs%N0FC?<}U)obtwis7r=->{dX4EhfH3?s_W4?wWEi?WMUVZzAQV90F91a0I_ z0n8C51mH2=QB6XHBO~-sI6JZF35a|WfSd2|?Se)Ef-1t1In4FfQvpxBa*b*;y_*CB zHj@dM%$%2Fw#&cx<3>X62#+(B;{rk|-SrYdMAqX8Fr%fC$+BdQ?nMN@b9z}jwCd}vra?%2k38V;*O1q_Hc&_Za zRceYjaW{XcPfwssFE8~6PVyQs3(y+!5FV`~`K0cl4j{_2(9_VI%w2e=T&UMw06_p5 z75lHAlz6>u6#{Zy`8)YR-Ocl9{qsJ>2olLwDT_jtuMF$jW+fp%7`$I zv?;t`DPNCLpGL(#ZHUm#1UQ~?bUFL%<*OJ8%m5w(o@qd-H|lPQ@s&+s+zO~H2pTWg z3G@t(5&GDk5pz;JKlM~JB!HmJ3U{ms;(KnDw%N|UQG^EOk&{ne12jqk$0$iQEA8g{ z<*oCFAY6aE^)4gGqQB~X=YLb>?e9Rq-Fgk`yj-CV>qY2z@1pOjzVLr|u=)HptPF>n5)?u)qU3n+L$B{#_!nbiYRyRUEa7<`zA#6>WI2?N9gAx2DK%z!Zx z6C}h42{B+ogAgMmW=sGfz3zw52jT&Jy({n1M~090`>hivD>5rGGqTL>zPDpnMaGF^ z_St@~wf@T>&(k%l;AmlyvNJY|SFSSU8QJy|^CN&z=2d(~J6xSk%#~1r(bcI| zv5xH+_|slIKR0iIc?-;2;N`SHMkT+5yk+qI@gM(j9~4v@^m)=6n~xTPZ@>L^eBOHN zE!NkgH=gHt*ZkQpNDDw<4?p@ah$Vw6>ncL#BU~FyY__x1CWv*2!%+}%5N2-d5DcMJ zrS=aSdkBgZ`U?8V@G$<2T^DX36c5P|$OI@Ef+36m-B_Z8&XEKm|72$R?T=E?cR_d* zzxrA#e)C%yk$X%*&n*J>?0%G1kvcxy{s5o^t2*LTnG`rz4%JsTqRS6qBmlH3ZQP3D z=C1_MB_Psi5;G7%_5eZlvnB~#t$@N3Xe_|jvQPk0ps==s`%J3}Ozc86?w7$mqD@l;K3fp0#VX*`v!(%3 z=MKQA?m`7TbSYYaNvPK^rRAk>Mq3=0cdfdXuB`rF>BEQrn%dd4Yc?Kh_#Zus0Hx} zDVSIVGYAp{BTU2F5cw=t_6pZ;ESopd=KltL)V}8rvR{4Y>YU*cL2VR7m6Kz zUk)^}LS-81hi`bU->h|!@^4FN1i&Zn(pqlPmF4<{<#gfZdH~7GkG4~DeJgFQxE9cB z`MPN?%%jZ(0AALTPQAqZ14t8aQ`zE(BzT+y`qLB$raeZFGshmp*z);4K&)%GF)dM} z;41z9q(sGHoyrJ# zN?2X1Xwc`};rCV9cN$&XHm_X+{Ai~;D*%8y{}WcU?ltw>A0r6Ejp){Hsvv0TB0%Vl z1tpGN=Yb!U0&<{m6J}Kl+a=yDQ0TF4N3S5bd)Bz5`wj6D4vZNbE{h%`ya9&ayUmC@YcSvAG*lE1n>mU1avFNbF|j9|DwOf*8~my z9nVUJ<$Xyb$|?jf$MGZ>82xNtk3TVnoIL(EJ-zg2=ksUy6}LL}oWhjB@niBk4n5Cr zKW-%f@OjQffjUYqGPDCG5cCuX6%15f8h|L}5j3qKClX-v{Fg2L&hPwA`tv{k^8?jd zM_~JxfBBdD0O3#n^iLxzTS9KjT1zr!;UE0LAH?UtgA+d{Ef6P8&kw)IE#PE6A{nFX z-*7AX2>^?VF`~ z&>29X0cGy9S#VTUyfTb4oL-i;C zrihykupw|Wa|}UiLD|ARq+k{Eseo`i01L{Yl5GKnqX2;b+G64KnLN3G#fHZT-+M#~ zKujwyErFnKa(AL(Ie1#dU9H1Z`~_^3A2%McR*xo?o1|M70Wa^apKen1IzWu(Emr0CGfCr=Nx%8xqDq*Qf#n5ho6SH{=79 z*LZ`41>9~bOP~%xywFze7e(tv8RJtDF|JT& zP6gKd0?PkfHJ7K81ef5c<519yI|O5ny#MJOrk>GyOe?XGV_$b3@VQYg$GYS1c@yiv zP~c4vn6`-dKwlo2WZ-=74)cfSVt$4TQQFS^kNhlOxY@+o?S+BFmWlTkT#K+C)x(Y* zrJSvJ{VVhvZ6g6f`zr^D-$4XZUcLqO3iqfZ^HtC*T((}h@>Dfd9vERXVyKS+0O9B% zV6=dwYsJ+ov=7R=FFU#Z(I3Q>*az$N7!>Z0tz%0dmiBiXGhf5_K)Ig^6jV3Huw&l3 zNbE7b1(^$#hpBKA`P#ehrs4{7hFF^cyq;8_SQpq8dg&B zV}5AGN&kcmXS%A_8nJ-F8=-;rer09VT8yp~(m4 zqs((!394nP6wA74B{rmN;ffSyx39ncaix0%x%MOBSi=fPH! zu^u|f+D=fl)&2}DmRNIGjx`$y$#JbYEo}h`87C}@vo#w4`7H>y??I5>SUj6PO5aJX zbQ{K-_-u^y}K)%@|LMxRDju(5>jpupE@&)_PR1RO`tMAiW$w z;k5dC?lD@q1IFn&K-u(b9SQ;Tiz=XuP`)V8pNRszf}A%OH`7@d z-cF^PmbP$l+{5y8>1iPoD=!RcA0Ul)(az;fz^@g+UaVsU0w-O*YF(*|P%ZvcA~?#j zGzvBTlL7F!ujDyndk%0d>KrRqSbGuBjSvpxHDd>ud^9_ziUrn36)p;VN?1p_J`S;d zEOrK|C-}y?D>$ei!}ZhgVx~*X#R}u4z`IARDMOSuBC%)n0SjG2bkA&B#PVAu4%d=C zLZJE?v~sa1-rKvGxzO5LO1-^XX#qus-rA*oa4;U8_+t%pE$pXP&8!EtwDq&fcy}Cc zvJYNH`}MpU#6M!m7%0OQZeZVemQZW)qgiKIVg-e|$O(;a=MWY= znzS6WjkGSyEw}`41bgiM5M+&q0mC|;cS$f$Ne02H0G+r;085KT-y?vf3)1BqDEq&T zi~(7}JRRQxIcTeEP(p!bF$bAm_JzQo{b7F##M%e@7KQYe;NoPT_@)5bc+T_oyGxee z_G9#|6WwF`mA;I`b(5#FKOT_cM0OZ|$790dI2>QkPy4QTpLuhS<0ME^%fP!>F4=D~ z`IF^~C4#zXAT;8;EFenVwIp5fwr6 z)IezVYrpnu=`a4`FY;5ze!oJj@7G>??bv(f7r#6$pcj$eeo?76$VtjGc& zwdtCm7XjU(y7cIVl&KEQi?R{ND!X+63XN-D$6`q3E0%{e!h$SfYU_G5r^z@!Q<85( zNm4H}1$e{4;u@|MQLtTRp%sV_h|}r~@G!u_9K>?N6Fe{pZXHNeO5h^5Kr#>NFw&JM zymQ2e6KFbRlGf65fUy#bi|~MyL4YAF$H?nEbW6BzrwtzR&Km24o?-?F+PeT%p*#hR zU&F#pfY7$GjRgm7$2DjyJ&wEx1*worsBCB(0O}?Hry*le9!zVfh;w$BFR{(IPisNj zZ>al8HwWr1P{jbqyio*g4QH(NA##eSKlPJdEimqj=P%3#M4Zt6f;Iw@`{1CKOow8< z?q|W=3Adt_6+j~ZBSB~S-6T+4Q1)Rx{LOfix69@me;v0Bn-QSC<9no)oa0dIu_-C? zXMPKejcAXe;GpL9&y$q(Fcy^k=w5QfShxS|13gIzmgRu-Grh((qJLmC0^|;`Xe_Te zHb3eZF%W4#=g$zpE`U1}2lwNM>W-4J{KAuf7~Uo@-w^lee_>+IQ#s5$0^_TzBt zZnR+$Ly@o;hJVS+8CJEQd>mtV@a_+yUbt_{Kry_A#F}$V{?Bzuc^`@kIZ!L#MsV7! z|GmceG})wK_3XH19*^jQZ~-desC>}z?Yxy}bDleIc|OLG>k}Zqb7n*+hXDK>^T_*@ zHSFhOUd{(K*X&cu;oLT+rf!uZxn`*J$@mNfX7(>VtGsB1fb3=Szw;KDx4^swp0vPo z?yOHTI(!rx`Qekt{9eJ`n}FckZ@(R&pbX>OLhzUd`*FSmp*8y8eTZ1V!FzXOvoBqM zICdjFMG9b0w-^#`Zu=m3e| zBEVP?sjcqxrX@9owTd}AX1Zo|p}9oAehuy0A7IhB0|URiaVEX7folu3@_H+j5vI9C z9}N&Hlr{kR&;n}^OO4=CIUri(-2$j3KDpJTu7PxqXdE>GQr#;WgY76lG(d{pMu36> zK?Nk!_4-ACFf3<~Zt7Mv+Cb^`Dbj7URhO`~TgC;^&dz^h6V(K~xtq3)wb;1+B!<~3 z@>~Y^)EaeRlQQ;1w)Kq}9Ozg!*1DCp0=J*jw%d9Pk`BelO zGWyrh20cyEJxW1MLW9*q+?PLtNk1!4gzMdX$?=mMjpvqwVJ{_6kO9A%u3;W}oNpE5Xuz&@2#?Ck0ZN)p2bjwR61NWGYrTL{v&`l$stWO9xO1nPoy zFocn(kBS0(wAD#zFeEMw?J2O>W!@>Zx2-3Y4^&QI2Z*d}!#rt8Tx9$g0R?3&3)Hp9 zI$J`K!kCFg*4qKVRcDhJtc*w3&NlOe-729Iip96N$_(Z?@=cpX%vY2QROBd^u^QC1 zD(}(V*w&TRP(IiKh*zMv*nBk&cJHU<2Oj|(;8t{Z0gFo*)#iD<5}ue8oCyN1j)B5; z`eFyh^c(_#fpdtp^eZr-_T`UC(t2vIf00(allq_0cUTZE)j!6P;2Tqflm|=g)HOb# zpdDQiAdA+6$~gsZ1Ox?Q1YZ1oQnFd{`vR=VA0Tf*EkP{7!4C4EE}uH`6wiCEiR@$X zD*Noo!!*zJ$L?D&%p@45v|PZ|CB+zhf`ZCf1qJQbKHv6-AfVu&=LCN3TS+FjOz+Ll z+5cX1YTJi-KYGq*W9f1Xa9|=OXHHAhYnKW9 z305huVo7)xkm?K|%vt!yJ_6Vt3qd|zUv%xvSDvRYP(~R#@EvWyt`f(FhH$xauhpHX z9v5VnS(ag@+Lm=&j`6k-bA!)3xrvb&;3axNH zb8iS`=EA8GuYeAHXF3mf@`&Z8BY_4jkBk=ycon?7z$krrAo2caZvhK|0%M*jClIuNp45Uc zfJQbbY0q$7kJ{Y`!cy=;CEgNo;S0EvPp)-8Bx#sudB;1CG0Zax=(Z4%mqKJYUXB(m+W^em}Z+nAydOh5Xb zgj}I;mNp#&&I2}A=Tk0sv`_Q7G=9~QU*Sg8_NVP5-ko_0c3K|S2EiHu`dL7|DQ^kI za6u^gH|ExO+)lam=~K=%$As-mqX}NdoMm4N7o~^C)YCc4e#SOn9u)+moYS;tD9G9l zjz!y-`ENYJu$ZG8qEME>j|-K3kK#bg0o?jVnZN)4gz|fY^dR48Pu?+n|GfYpBMu-u zN4QXpb!qk@&w8gZ6~px{^~GOnZM3`3#<)?z z00W3n7+@_c_E6-Y3}K0VNE2+Z-IFW%v<0Ex4=sS2u~{KG6YQy2)_OH+sPOd zB{!FOnzz7lEx?96{P2SyKJ^psMyf{5)L_p?!>-x|5 zhJuR{M{TTV_TNd{d8}JeU7pr?hl1}NEE&(--bmX3mpgz=hm&#F+TD9&%dy3@wD4wt zWry$c_XdRPkTS2qB(A_z9T$J_@blLpbRWZTH_+UCeEW9Vf_S{qUWhW{Nk6sL>Zy(P zW;g8sbU+vm(V#1A!nC8+h3ikPy9xzF{}PC_qw&>rv8p@Q`feBZst|ybO^{ST)OOH? zMIS$611zenr`AgntR<`?8(2wJjWH%j2r#w)7;sdq!NYZ#{C%78B*Xl*f70HFcr1W~JFO1`Y|}zXe3YeM!>Sl9N%7MbA$^fnVUb=%&O{EE2e-C#{H^_5QVZ;wP3Ffu#)68A=lEFoU zs5b#x@6z6{FzG)|gUhcUSwdZYcGekFbX$+c_ajInAXq_{$nU&ekIZD&3ydW}EI$H( zH58`zD7P^ZBhDf9FfN|QxH&(tStp#O3+v zFHsBZ0xEm}I4CeA9k>Zku#APApwB&c8|gE>25!Tze1dz+D_FJMhW0;$p!K|f7eM0H zGti5(G@;X2B}M^^054*ZU`|se*8<&K8Z+C)z;l8rRcQb&veifOa@FhdI{Z-aNH?XW zT%euZcDldtlA%Qb?V$o!!9|HY!$n{ZK{tRzcm_dkT@c(5An0ldhUFeYbuHplYK^2& zTx&wwv`AZ`-H3G%i&|L1@t!)o@>AA^rzkG(w0*(~&qkpQET6!e$#(lHLicx2_Ph$9 zatGo3E&6?d{$Aj{T4D|u7cI(kQ%f%LTjktU`yBf18nlkyXPzfT+%Ojpd3dg-nnm$Wgl5?X-4u1SEHPZ`Z-=G zOI(9aj&j9DNMCxd_wg-Iq->^WyU@plt1t_0et8Nx3S-b~K1%;@QC35Y^aQjHCC7yp z#LFQUpj^`uWs5TM-e@i5GA8T7__oah=+?T^_=~4)Q_31~0(}qjD05GFihl8Z0&@0? z{I;O0ZiSB;S6S&#^*4Y~=12How_O=?;R-g^2KvW-acrVM9~Qv^oGK95r+hN7kO%D- z0l+T%vP7541}Y7#uEhEPNym{AXk9w$#PhQH}in<*ZFniI-cDEl@W^nBY;Ewlm zY+WMmqU(Ui6Yripj&)LiSQ(*Xo;n({l@*!i@jHc_C1ioNhk4L9MFD2tY2K^{L)OoD zN0WB5J#&yxdEeoB+vl7Mu-Z9o-)LbBUpCMcE>_fGJiz)8aUZW<%ic3l{+D(bV}bIx zMmXo4ceW*juYW^1gtkP}HLI8PcdwbJc?-;2;0xCRN9>v}uO2lPzMuN3pGrUZlRwEC zQcm}X!}d3S^EdH%5pVsYKl-B=kpgsc zrr*N{5Ts)vLu_Jf%pCw5H$gT%$cZ3;f+&?r8kA#sx zAjCHel(M>%ov2W3d2exVU^S zom+f0-ga(pJ>A*7m0o#>_9s&5Ch_uW064m(6NEd;YAr8n8G(0LgFy)DPE_D00|hAt zOkdCVSTI?Fq#4L40R$O9+bGx;7_0(_>CRM3#jfr}VYsxWQ@E`~p-D!wwbDpkED9G8 zcrQQNiR%)Sf{~kmX92`=?+`Wm-PR{G5x@}Eb2Wgn20+nK=`jGY%$>0)uAD|Q&kX68 zZ!s3$fw5bJ`Q4?BH>vBwg=?XiTORHJd?MxT*HU$K28*%wKH$;EtfkwF5kgl2S}5J4 z4|f1M%5^}29o!oMJ{RGkw^pzO+(nqrP}yqw42gTSjI(~#%4%3d1t^A^>{|hGSQFk%b%JuZ_{eQ*UlXe~6$BOD6JU?+P>#qPpPK@6pUbBkZ zTKij|w+A57p)X%#60{M#(aoxsVAbk5+Jy1axN#y#`hYp7i=nGn4OW?_em_%kPF}p2 z5}LSWthh=Am~H^@&B|C1GLb1$AovYWy)5##Ryl*B_I-GaWtNi7a5Jj)+^i|I&zXA) zsY9?7i_ol3Pq{Co?VP6!g$ZlM5p#CfQ{jR&3KV2e#5xb{^gWp~{y8`7Q|Gi+kbBK? zT71yM)fVf{Htv!4SV!o$?ZfUySw6Z2)+OAL;tVu3h(|aoba@U2C0ZRO6h<@vKV5|~ zb_5TnC0&VT;2>i~%R%a(+tv)|BpV)*muKaVV=V{EWM9Er))<4nr-)^>$Fcq?tYf?k zS?5NqdoAXJ;GiyUjrZqx)HPT`rIJGhay=YSUm(W)E9NOs*d%sq4dsG9LX9f#Yc1oR zY)fFi9YCS$WtsE3Xe|MnKUiu}FO(^W$(P!n-RA+!vD~J`S0E=)Al91DPwzd-gv?LbiQwfTe7#`dJUwXv!7-N^fiT-J zz%=HSeHs&!wi5&t{G3r&eQ!Dp4o2SGfBL6?N`LYve-fc34%h2ve&%P=-~R32rr-YU-%fY#+&OSrH>C1_ zzx%ttd*J;1$CtAOv>f~ZCChDS`Hv8~?lGa7@Gj@ZmMBg`c4}x4-N7TPWl!G3n&Ub& ze-GjA8vNfmJ~bxXL){DJlk^2P*MK>z$Blus7>iOyJ7(5_QUKCsEKsf2n@}tMHXtnFZe*d^HO^*YZVG zAm|Os^C5K0wPGVc;%xw#UFgw1_p9`^L7BDz&o1KX?+R^K+ucqVXw(&j*w32mJ42iR z2xL}g@Ctwlwo%9krsZp$01ZO$&zOzae3T(`OGpE2HOAQ71psi{>qCro0ABSdQ4+`k z@aWjSjM)LeN{9M1cz>00sCds70w3N-HgY-IYg!Seof~59q}(Dbyp&Ol0oZBxW}#9f zYAB&)vdoN0`y|>zP?@$CKv1bV2T%^=mG5O-*K#l{t{iJxYXR&Qb*ZV_)I8b7P9Dbp z9u`;k1+96X^F|Lcg6%O@7^y1e3AAff*dlK&aOH`eUk6fHZ}J>qj&ULP!3@^{K{!Eh zmAH8>V#1x$OI3KLa*o+Xj$g{~R0;xy@$EO|-TzPq*Q00~i3NB7+tJvh`M7^7uhX1> z-VbYB$`@9i^jUyDwz2i6&B97iP|e=}mOyF0t^oFx?+_Hrj>dmInWebXI&<$3(7pgj zIQXysjNf6g=UT(s;#x6!1VJn~2nhN@lWmDSO{>&sSLJ+y_r8R^AwW50cqb+D3Ar3) zW|U;jz<3%B=@-{P`;<8oV}CL)j0l{A@ouef?YD62%vcim7ksA;9P3(Eh8*$m*c|5< zWu>iLlS8)1-ZjLNSXg~iz5&0BxKl3(V87rbkQtWI%)J6*_^7o!+Ld?b-v^3e*{!d@ zrfqRrIo*NG=0D~wFmHj+s|99QAzy4!IuK@RiTZgNX$}y+j8^^8$a5qiE@Ax;K{UWx z5RbDG7Hp)$+qcs2Q!Fh22ZwIV62mz`7DN&Cln|2X2`Y#U&+~DQq&h^0T0;;8BN+e%Yq0px$l-lOgw7J`gB{`% z0$N01_7C2VI$yf_4P1;qMr-o5l-|3Cw*6hS2p3a%R8F16Ij^Oo)CM3K0NU#Ex8j~@e-y-T!=PNFebpAc zG>!P4_Mqpe@8CUxNJFf>j&{~fJ~DM511>$J|1Z%8bzBctnoIB`03O}-)a~PLv=1W$ zeXiR{U117Ncs+}S2Eh#>-{-RjJygZ=X&E<)%MUwgdxiL38-R1A<+OWdB>+I22gO(u zsA!Di4Nk^aJF4hMo!1KJE?RC{(Ag%JVcNb;ti_w0QwVYG{QsS9um303cqOcZR?w)u ziPw$ypl#1!v3M!Kn`wCqBA2l;Y66-$u66+}UR25~!4TG9IcVK8m!h~h#2Rd&`4#&0 zc;(08Y-+$4Ht5g7c)-w_uVJqaCa5`(!%?>uc+zuc`S)Y`C)*KGrClF{da!v*iBJ=_n9Ow>~GLEp& zOTEX${Gn}F?<&>R00yV^;e&IPbQbF>lfv*kTF%n#WC*- zaC3sIv7I`Mr#gxcf`L0o^Q#CV%C1$EL02z=hXdAUV-6Y|YzJ`gF?H7Etkw*sMF2jn z^kz-2x87}R94)Jdn!|ENi|Y~!6??4f)%JSK!9M$sK%uUq%e9qg|4tXcj4^4lf9k~T zJWVoQr*V*s-E@of;sSfxrwXXZ^U@1&zjd0jc(35z-aWpNF$oU3RF+v&yIuC$AzHWh zAK_|sF%2HwPTg||<6ypRKmj3^l1Rp|6G##?s;_3>*_F@duiamRXBU_f?3DjUPb944 zmaZdv`h@zSNWE~Cd+hFc3NS5PYBJq)Au5<=Qr_e6wttmd3%Uhe;W_RzsT&aYxJ+@~ z`^F?&&?%GCF|P5fa<}m^9`kQJg*cg=Kkz#{6_?^qHr-;}#cwC@IOT_tzdtMs-;M=S z^taE`@74u*Q-o5o?z$0;HHLcleyvhXvHW_RzcE}LHO%dh@HZ|Qy0shPk)Z^=+o?j^Q0F0_Sr5T?BF}yGd31*={iDr zqHy^#9YG(RkOCOex-!bdyixJ_m^LXGCruED`z>>Tn!dx|o(CKZ%T$5GS>}`X2uL~d zk?r6UHW>>sVy(&7JN`I7L{8FT4)4;Zd%Q;wSnFVW&rlBngYKDq`n~N1)B^;MmpFNw zbLVK=eeW{n$yf`_hOZL1Wau~Y;zoA%9zX^`1MDBtZ?sK)w|*7sTFL%hmz2@XpvnvXmn`%1VrCoFZsn>CJU7rtZ%q#bu2n|U6UQlj@4)cZj`WP9vas+_5@{`%+*nqF}uOq zZE=`C8b=fbGzHv`S!cX`p5`quZ-F093p}sP@P||C`CEVNT0lZefKPV;LpJ~788%8c zmsyg8^MC(W5X}1T7QB-{3vE#eA~!SL#K{mzOb4&vA3w5|Bqco(oDx?O4(7o}?YL1N zB9cutHbe-JoS2Hup6e$j8N40xmsya2puAeAgr9MqmkE)`DZ!LQg5bD*>09aM|Gb~B zlrLe8@Da*UkJ8<9S5uRicgH0Gy@ib|mYlH$b$@9!bp_f(sGZgQxEu~%Q%Ki?p!8G0 zBC&>R7vmoaG@1kfcMxRffTL~h?*`yxo%^&z+@(xsZaq$)tUiWMYQrzR2A$df9DEDf z;pinwOF5Z>GqjObW5)qQGRb|UZvs67RPjgezn=fdgU69L`&&1gt83g zow1O70isNRqh7lZ9|5gCKu8bYcg8at0y>0?jf2gy|EseE*a=vA4lAivr2#0*XX#8D ztl&-*3o)$+p9d7oU-TK8z7HYd)RGh&JjeI{0vt3MkMHqVd#*ivD{Z!JrSs`lT7mI5 z9-G#L-QGIhbyowR6PU`Agzw@w_F(2(6u{Rx@|;OfRSU)*!NHtmRe-PxKxyV)^-{F; zNw3(UuXK;7E5sETjSJLy`B{Vzhh7v!I0C0Saqp_jWn4M-Q+IWbm?lrw8^@FXO!5LR zD+!ni4wkVZ?1Ow%7%#TbEU6L&%K$CGE4<}CR~l)?BQX!+;+XHX-eW!~2w*M%yv223 z$RdDqrMg6)9>c(r%_Bguc9Z3xl%8hU#D!}4aE%4^Ox)LqHrz?#8VI=zpoIH|XrxuJ_G;V(i$#Ee&Z*0BQ*JD~` zCw`3oM&B{!Oagz90hvot#(WgR{sLaM?a336Gs5++w5ck1B4g-*jG2;(Dq-o$_ zECKxSmi#yl_D_s2jPo#`{QCa-!5GVLm(JP;eJy(~H~0KR9FtQBv~8_&f5s0 zW!VG@wd@ys3wNHJ>oYk&#&YEnJe-~u_Mr36kk3Va@A3R2Xi4J&zKCS}c3pz@#@YcD z%G`lKux$L_Pc8#mL6sYNBU{5Y0lno&}Wz~{Q{e!@UUA}WHaMyAwEY|?sv^cbm_s9U) z3OW4igMybheVj9MBo z_QT4Gatv{;S-f_QNh~A0Syoy{NFk@Xqz&TxTgzP7v8ljJc~ z*;Toa^`L#UCJvXw09wZagjT`(DSLRxvV5#9C9GP9jx_;1=S-7#+r9#60%poAEX%Vb z7P)XIItFEP5Hu`U1$Ixfo>LaV<8UWRonz2ACvu+Fw&HvS5@wQsXgg(jd9u#b#rfhK zx88;d(qb}{E(BX~85)2%=SGG$L4hHFv*YF~^$<)HTq``pgNlj(tjqGqu1Ce!UJtos zUW{439ha_$BSIZXNDBnU9JC#fg#~dTA%2~t^$J*0_l_D6hiBU}7Lpg0^B1N09JC zi20%d0mjyFv5?A-x6=6zmW5?v3+^=2y|oKz6CY{=0ItDED@3fW=pQv8WoQ`@!ThKV ztp?;#aqa{rK8E4kVN6`2EiS_>=pyhf#*BI7>07vq*~J3VSRL<;uB7$B*>t6FFV!iZ z?mPt;0%X`(56jJp;3YBembP%?OIvGkYP?CULZ3CsfDW+c>I1IouGLx!=u`kEZL13J zYvNXRn#I}Scj`*&K662LQW-F)i`nDB@xyr>`C9@UqP6nbomA`Nx_1)>lW|lRZ5SuZ zp7j#6u>CgK*!fK_;JaK}i1`q}G-c>wp;yNZ?JOx5C}>HjCiU~C5#YVT()Qf3%acoUUW}8?R zu2O}-4qBNj!XmtjZ82Wk zZItnRYlOlCYb$NlVC|~-K9ongbZ(8crp)*iC>-cI8J=hx5K|XcF5kK@Q#iH6{j=6R z?+>j6T`ygW_gIVjSa9#IX6so;cfNdd%UoS=g+-wtp>=Xy-C05Tg7Q@>=Q%e-QH1@G zb*x29!qNh+U1^KcB-b7-26a{JMzqVbKt!zYn z1TKwFXgT*DQC7D2#znBscQTNW(6&F;$^MEsdrJ3cxLg;)^NtNI?F4}}s|j$B0b;+p zyxFGtea=a@U*!}bDIB+|*OjoveGV?}V=Be?_NT{_OG8NG#0kdta+D>W+kYrOXTF{% z<#}0-NR}hd=P-H3J(8G~Re)3S&9N>RnuCNs>ieQ?BE$KgX)Vx2*m&#Kt#tF|P4fnc}i37px)czKd%sG( z;q~WPguwFJ^jCQIu&pcuw8?&WkoQqAbI!`QUHo>R`9yI9gMmNqR8j-{084z3$8N`n~a?X z_tdF>Z?ZqwRQj}I1)+WgA^alOiuBE6y7vKl-bi4U@$C4n+itk(ED9(bm3WWw%`B6^ zQ30Cr*rc3-at820+X@7k0x)r7wLZ+LBVDW>m$@6J7L_VoGsguL%nz-_hugkcoCLtkI5^gYs#`9hPuhk9jDVB)CRs9c5txXvdc6a9L@euzVYjl~@}X zBasj9o;lI(;r)yCMMHpCXBaC5WebPL8US{oK)LAyWdW|PA-9{9LkNhOk8(Zt0LDT= zK;1sVWoXfQ3lwTCOUzQ!kg;y4lUN_(%=AC89$rCS!m~r#dMJ2%@lqPSheriK!db>> z0JU0%t5o3F5Gd5GF6A-_1QrD%sfU)$CzUCli6_T@Y)|?;+*CWC`DiT}$+po=wPPA( z3&(@X4B^&xGLQN3yanbh@Iz^VY)AT`yn6o9c?-x<42?#Z-AV5oO%q0m6G;IpFLkYrL zw*qYFY95wvx6&D;iw~|;5oj-@ZTy!#!Z-Ovf*(z@GSaoD;Gken2?DW;;JG`F6F8-a z&vuG7Xd{@e;3BUM2&o&>HejGubUT8CL6v4%3pPP6r|QGoXhY&+@ciYp@EAbt^>3VL zL8gE}7k*l~Tt=XcbJcWz`)1n0-RfSKz9xlhMkH!Iq_92X2O?3d&<6E;yQ#L(#=Q)T z`Whe|09~<7d?7g!Uc$Lq`Xs75ecQAY03I2sJMr~ zzjpr~@$GJ7IdvYovzu;Tzd>9Q-3evjptO|qv;qU!o*aNOUzxo{z=tKqofdO4JzEgN zpGd6p;0=iCHRi~57@e0cqhU*q2Qc1G#$=#_MR`5MIACzQV&ZLTX- z-7)Urespi|W?H!m;oD}ccZlV%2Jn4~q}xeduNoU}Fu>X}Kvb-)sf?M{Kn6G%*=#AC^*ve$c4~!mj<|#yYsBwlUN&3A;{mYSC8notMx7X& zt5}Kx*7g`nbzar%0uZwP4r`g_p&(@oE6ZI2z7?=)Wc*ns=Y1kBO)4*kV9;@6@7We1 zUZ7nTakE?j=`)^IPO+4fj#dNiuq|65ovcEel=VGT^b0Dg`0S|}U^ z=0DXQ%y;9pR#=mJ%-s&}6CB(*1L$|Cn-mgwT_CZ*#X99>Q%Wm<#@pO4cwYlJZg=j$ z+udW1T_tqN$0(V8ojOht7(7*&Cnp@&DjE1~TtccANui3aM_*PlF5k|l@TPQM2ibz) zneG(@MU(+%`AUowQwkBLEh3RKfzw?h!PylLcBzj2VYQ zk31%05t_GCIj`r-sGoTY47OQDv>>dbFzb5-yLN9wDqKb;_8!W`U(GMP_vCr=F!?=k-b3>j;B+j8CFI1EjB&?#mXD}+4iZ`?$qL(G{~UGj z`7c}gz2E!2^xf}%cfVST2ncl@dYbebzwsOCumAe5Y3r;bu3o(wK;dcfnBV)O-vXQL zNo54Mj}gqana~aRGOgUTj?1kFjXSmlKer2z;XN)F&M)VtV2VS;>F6}vVXu1!8uFaH z787>|f$|FPScZ>VgvQq8s377l-{EzJyJk*KZaxBox)1MA)++RqAYqq9%CQOsgNsjS z25?9e7mY zJ)ul4z(IY(;xw=KQO{6LU4aU8j^I@T%(0)9FPWIz1ugR=XvyDoK&97E|$JUmAbvxb{>paujm88w*Wdhw`IFCSF{AKnYYP4i+3}I1d&{4qMxDVX^WW> z>sIh~zRSFnq4|B3wV$BZc&vv!&G%Vu*I3rpn9PjV=tF+T*b{75Y2S&?95KdTw9iQe zq~2P-#kfR%7GqGwe=XH!t)K6pe1fPxAMpwW{;aQUdQ?8tU&Z^dB(yIWvJq=CAOAi_ zIbxl#oG5c=0NA+QnV*GoXNfCHdpTaHx1nxEw{E85rWfnjv+7Q zY_u;53~8Gfk@p`U1A9os4`geuLC9&9y%eC`!qV_yZu4LB7MQod=hy;IX8-5-()p|A zEpVC^7($GzU8KgE@%T<68p2mS#Q*5#EjA!x1gISY)1*)EAj&5ROE)F8WgyOi*^oGp zfMTPJG~N|QZj@|tL3}`L20=L{^rJlbZHIBwJqA<;w1#=`sX-J#oE!f^;?Jw_fsYFcmI zP8%(N9b(#*(4fqdZt5!SZdeWq4hqioYA5z@yV5;y@xQ_XIqld7o(LtRVTwD%|7N5mDwqOf@$ zOEL(uBLG347x2@v+32Si|AcS(1(SR<~ToT7cI(Nu{42|*RdPw4XTK>B$ z{HHDO5bL}F7P+M|8h?z95a8?LvjTIopJ%pc+7+{uZL$nqtnuz%uBNqhgbY02VO}n7 z57OdJ1{SuOMb?B;dbA{fr_~#TG8Tp$4_JQ$AGKmoXs5<{ z*Y%o)alRT4hue=#MedClumF&`qDHS?O*^YHwFe&)6f{m+k^Uo!{P@%iVHd$zdY!#8MdY%sj8>{dQi|ka=hwX?X}Anec=gR)ssaGLUfV zLlleOpx)E%j$DHf2$L?^eA)6-bn_$dj!xJE(f{4NZBhqqcxzwsI=a$ zZ9)N6EHpOb;Y5h^P~na=x=2S5l0W6dV~UC#E9ekv59gF@7)KCfUn=gDpG*Jn1eHrhn&|TKmC1exfs#C$g?>v-@oybU_ENnKEBkBJQnE2V^t`n3o1GmEhudg?quoPNo7`f2$dKd@~&CVUGFb(UI~q`y+E2_14?DC z@L!&!NdL!TMqlWLREuNVtIAl|BtBq;dseI;{hEQgnYWW92sdRMSi~a}_lN9@bz}s= z6>d^lm!{5O*2;*R2%tOi9>$dQ32@wY*7A_{+;4OG+BGG2Y3X<#xjqcAs>9MZz|5lx zrs4rg0HNF;?koY`9m6?5chqy!&X2*x08}YMxF($?AL`hKteeBzw^Q*FmV}e{=Fc4Z4kZQLJ`Y**48>Hqd?gLu ze?Jx9cr%-)0 zAvi-_UZM{I7%eZ&@OuDf5`t}j%>_2lDguvPh|DT=GN^p@@?~OF?V)hAn%+43&Gg=* z{{e`+LRIcTOy35`GREBsf^@WOvE(z(l^SRYq+cdlWP6kV06+jqL_t(IxZk|E9K}u# zP_lzNxQw~+y$ZPdgB>hgkkUdNjn=NEEnH0wuyrUWk%{ZXZ!x&W4a83Y*; z&TA#8>(Yp&7y6NT$&UZFZ6EP&g+a!J)RJj|_InLLK+xi4q%s6^rP?Is-Co+E&Yi6X zsj+e?UL}y9TZ*aCJw^WVLW|U>U50<(U|gSLe&6Bv5kT&_6W<{~C|HMA${0(v8HHMt z8E1m1Pov)lfbIoQn=)%l5zDQ~lybt6@~^|Z}*ahvrJ<%bSy?Y8bWVPJK0TEZb|LHDPHWx9tk+uvY) z)e1OU)CC8Zv2qrC)4gaJfUwV{66edH-CFbY0RtV|uEU)s;2=-8*)IZ+X3o}`A8P08 z5~#;q*Q(h$>^haZ2hQI1qy@AXjM%T{MZ7`Zp~A+b^2C$7;U%^B#!XrY#z}Xh#(V8E z2b#O>i1*rB7+YuqF1oe~x;sV$lI;t>XBjJ#@63+{2@zd{yHUscrwEf8Sc~fR_(dcw z1qI9mfCR~U>;t+8#q)3gXve*yyC(>XYp)h)8_EaG`d#+6*IYaUL@^)baV7yqj{`7- zKNpDcoIqWGgmjWiu=6;UFOT^M6rvXrK&8hqeZ2OJ$vmpaM>~L_f`AyhrUpw&`#$n8 z@R5ZpD4oBLo9nM-?|#PDd|@9G7_;5&L;ENulRp_B5nocNAlD_E{Diwv?p43b{tI#{ z?;j^3*X;NB_?zTq@AYT&Ip0j*7oH+-%QVi}Z{HJT;n-bE9U9jc$6QvhtlqXmfP{<} z>mI=2cs##^qVn=DetPrGH=nA+JMX+R2MC{Pl`r-QEd^B)a}TOR->`%SZBu2!?ZWHq zAS74lZVb8*wKM4y$m??5IVibEc;VRRSsI{apUfy-c76gNRfX2S2;Dc}8G*tY`7MxN zlRda8k0-lGo>~S96!ruj`3*G;PnXSjDFI!G`fNi`g6}3}_niD2oKILL3I_IhMyOC% zq*_R6Ar|Wew0?*8dVhsy+dLbfmRDUgC{Lejf;_r_v)(=@IOu*YjqK7gHMwYV-TUi2 zdxraU#VGLVu|Vu4N;TxWi2FB%-US7_<7B(Z+hqKWVHGHw_uJn53ojdFUP0Jhzu!w` z!9p#I6#nWZNB&Nr0Kg<$kja3$YH_8TKNriQiURb9LTkf%gk=xbYvE2%5J9kU(xQ>_ zL>w|hitv019@%#kZ`{a>z5lHMI)(eq^C46>rl2nRj!Pr+rF}-aC8f`e{WWVU2zGI^ zU`AM!Ss&X0+EVwn9m=^)f7@>II78~J`$7k-&mIO!LTQB-)GLTG7gb?jY}| zqFlVV!3;SM?P^^wQ0K!*A-y1y?R}I*n9m5t#Mr0I)O`{l3y_oX86h?R?;KOlm9zlU z6Cv;GLZ6TDG7?I8)X6#T964>WOnTq3ZTj#FEjHK%=1(YlpOhKxYJCGFWZZ_UNXPEs zWM2q410IJpnBy28A^JNX=i_H=Z@uBDXej?6ukZM<|K%eDFz(OOhykAx$DXu*x5Zbkhx^f&@&0+9^A?!5 zz|k!r3;t44Q!r+p<}L6dS^#3901yy?d5_6YOF`X*=+An1`%Y+i1&9YD@f0`+kr?2h zZYLSd`3uu`ncz;LX7wN2xrmm*@6k#W`nr?Q7uD@1N{Yd778yY3N-E(42*3jxShx_BcM*RfE6AZ$^$#hag{&DUPf zh^>i?-`n^&wRV1xu3~XCD$sYst#o?_O->|(&FU(yN6rF_A~cqHo=9poR){-T0x0#k zd*L9s;jKPXL2B#AJeKQN;}B!)?(SnWH8%m~*7^N7J?<}K!Po^jdXQFd@mi~1LKrc^ zVlV>+bt$?Bp)BKUPfP5tf}$DMOy*{d-xna(HYvwh?pw#@sKAUKLn)y)xvO@cwg?N4!K>03={A*a#X;pY!YC?qnZ(?Nr8$hYnXLlf5m9PHgiF%?830%K9{>MJmtFk*+2pm^RL;}z}D9kc!H)Qag2)`S9s%eWNn zR{#o`Uu7&=>rDA&ln6vTJGc$)VpZ3tZ^~HN)tK95*3P{u7TnZX_L`tGv9^zfFzRsH z#!oB~^HOkd1G{csfD@mAJ93ZLBK# ztbgO}T5!eA@qLlVUrVeANy|L~FUAEFEIhy;Gj#l&gNSyr?oI_01^L3tkl$K&9olNf zFFN`QofVXaAUlvDnWvVM0)x65#X~ksK5ILC{py>i&->`Nelf1tPfWw;uNYqRk^Kec zpOI)@AGg1K%QOyf(Aw>TgFa)Q^IUxM+wl;i)#LF}9lw3>a5{X!XFNCg?K8*S=k>`n zd9P*R!*W4oD2~U-xMKYA+k8FtobE)u&HL0L)3wBx(Z#4$eAZ+R39reVxdffO4IM5`<36hZy~CvGu+M5a7>ZltnhTcYQ_ydJvpg`FGVstm zoZr$7E)RlspQ6lHLTJ0nJJ#S61@9iS-j^W&>d;bE_W25vSQq4rE;Lh;@AA4zM{aJq zDs{eVO<3dk0W^lkZRi0l6W!yb&n$!ALI%FW#X>-!6hJ|?CJ0Uz$-5(62XDZZ5{ii} zcm!$FB?R*>C)1MjkHEqJB~FR95$|RzN~=7h>(&i;3xUa!)+Nx|a7_^#Z*yxWXdhi5 zn)FK2fQAY1g5Q>RT-E(^-d9+}9XLX7U7>0L)&w}IAq+0=WW8eDf>-xmjze%PKp=n# z02nd!;M28`N$^VrcpWXv2Gl*27AZq4r~+N|PXWcmlJ`No6kdH5Av7EJ;bi+=zn+Hg zy_bq8YKE0v1-=;|b84ck1tud#8DpX-I7l9|Cgb}><2cS3Xa(dIK|EmXrT%OOx~)g~ zwTd+j^KZt7R#iB(c`7+xbU*Ld4Mk|~ZBQmi3czF(RN;|&0NqviL&x6;Mbg4ya7NJ2 z{7nKhMN@@Xn??zf)v-i|fpZR&XAxtPDaUl1z*Df**`*PaIBr=p@G`TKMz zhVtwPz_m6-;X3l3<&S;MyGN8&P$^t$3eY=lTtgx;1_aO@=g15Ks2h7U3UJ&3;{BGx zdQ3~oE?DD|bHg?akPr<*z_J6DZO(InSjVpSS|;wbY^P2FjrMB*;LiXK#tUg5!!I~T zRB(V#isM`k&bp_uLW~{90_(?AV4D8aWoW`{S{OwDl<5VncnNPtv-F?OV?CI#5)6>= z>a`Rx33WlLi)Vq*2M^dN;44+Euw7X*e%MK1G~pplg^LmUgkIy6eU>gD8w2DFkQ56^ z*MxbRx4^swKA#pini}|g-amiKyai5dfpBY~rr?-hp7wz53BsMIrs}#XLfRM%hb}+> zP4)>aA7*n5g1}80q9BOgAjY^Rff1V!#Eb-u^jUm+4AI50r##N?<#7bseI!_YBvQIr zgscs%uK`jZ0hKa<-H3Y@iLC98UyDh~%rNR7)lh25137ua3owTBlkm zsx4N70PO+@Z9|;ZA^Zz4EE^Dj52*73oBit2Hz>o0=|M{dcrP{f&=lI;N+p0AI0IbN zP2n;u!b?nDEN{vXhLvqBDrqOdio(iygxJIcLt47nxIt5*{dyK_Ei|TT5(p3s4G5za zgpsKa(D~7$|48e*chk8FT5?EIS1MTi6&mU6;*9_XpSU`Fx-yjwKm!O@0m31G!bq2} zGo(hjmR?=Cj3DAX0`e^gaAIBomUOT#e2m*dLAycW7L4!ZG%T$K(H}9%=+O%hue$iC z%S=kl=ZXGoFkW>t*wn2B_o^W{m>|?VUWe$v&-lF$VW^v;GZ2}&{}J?Yj5c{jF!CJ; zX@N7X0JX3?$MM&fm%`0q{>sDOGWLRm{~wx;3L+NCSL>kvA+O62>92o=YeM>>4(L$8 zmE@{%2yrbsDq`8m5E?F^;Yu+a@6HFwHhxl1K7fY}I3D76({X56Q?5Qzk=osRsRyvo z(ck1QyPjD~x|FC(ps`T%}D;19VZ6XG+a8fO7Xg!j)x%a1xtgVOnOa z+J4qqx070QhA)_Bdc*7wRV%AlvcWu%hPcnv0=Ec|b)36f`^2)!h_+Bb5M;FtXGtRf z!9fpY3#@%de2g<#uA7=U&_ecM#MuPODfP z*hV|730vG>LO^2d9RcBvu9+s>I^~-3x(4HQA&41QH}Y^^N>J(ME8I!5{-gR377Z)B ztI7KBpy^=o*Mq56(6O_|+&-p1vY3OEnR2SwktvvD4XVXuYneF#C|2jw!YX=+Sg%`W z7g<|Z*)m!YPtW}&OS?Wq+ei7P?5mcEm~t61NJL9^LxrnX`a*q2+Li6>Is@H z8S8G&!9$0O(7a)%1F10&kBa}xuJ>&NBt<-6v*a*jyyD6BW(Nso@^n?CWH?Jc?HI0~?g zV}V|;xf$8d@w|EXn{QKOP5+Ox%}$Qb@BbL*5x>V}*+2Hcb9tIP&d*JLbKN>jzR$jn zGI5{Bj#2C3xODuvkSH7VJ0G*&V?7IuTjb^O41d2+X$K+R*T4StbQ=x!X(@@w92 zthkfX;pYzDZ|tUd`f{~^)^RJ)tH%6&%w!U*k`9*U5ERsFhe~xZy|@;@T1>Vl?cg;* zLaqJ=JR{xW9F$HndEL=xjPOU$;eG__j7hi%aOSsh1oIREdme?;i;w3mfpmKv-sb|m zTEAniS_u+MjAuPBO|l7%Z#hia9puCB0AN_WR6KIQgKG^SL7LOD8>g_u##y8Mx)|JM z;qV@-Q0Ja)fP{+lk@rQ;@rvv{)WI~8?-+v@)?GL0(m5OOpI6$g^ni06_W4bI-{G3V zc%cUY4d0`?Q>`(jne2~)v?W|E6|yddNT@*fFSLpCP9ED@(2zlm@?#%}LL#)2w3eDT zS{%_CVKu1LAxeyqph1cVymh^o7Vrjv(l7)mbzo7njRX@>wi1vD3n2J~!i`st6|5T< ztB92$PeVfhKkiVR678HPx-juNt zJlXi&`Q`m@J6qrb_x>Ip0BiPdda(xqG{#&eU%)o!ND! z+jyqL`;GS(E<52r3(RT5)q0j`LdJ*f6hN2l8JqT#H)P--9#UvXLy?&5a}|jv zQvko&Wg0xYCjB3D5&c#$bi_m&(&r<_e3kiCr94_%dqCHoBnRxuC>Y?VW1G4~47$_9h3D_m#9Yo->ipP5NgePoSgBg=O<4%H)(5u;eucz*CM}IU+F*O zGRht8*UU9C1l_cxeC+I5>a0s<);a2}C1FW`jQmeZ;lfk78SCWmvrl7Qhf)CTq}$s9 z@|dD)zzlhv^sX0v-8B)5$ssa^!JUVx`|uVT!R!H#==%GN>u<20BlDQ2c?-;2;N`c# z2`lx>FTnf_^AV) zKnzBY4O|*bf(K$IsNjhgNoc`_W#`Sq?Vsn2RTZwU_|_t@0QDvTr&|aK+#y0|SRt4^ zECZ4FRFO=E1)o`v-$+oA&j@Mfa0n3`WCi)KQPvPBW2}{m4~RinL=cR-J(*yc%d*yk zlzo6eyba-ALYt~hy~4#~>0&y==D*&(mo9eDKpg=Bb!5u0APoA>5`9jIdiJs2*)H!! zJi=*1{RdIHs0`c-DH5repRSBT0h!u{E&_FAjQ>G<^`3vPUxF=bLdEUXL>EpEC z-ar74V7joH9-$FCz^bZQzLKsm9?!y1LyiRqSmt*{ZCr>^V@WVVaJkw}b==GB!Q={_ z?m@K4bgQM@q8-{2l@OHYdG9MQB}16&UE&p%#z3I)6if<7bhqSZeXEv3_r2D62Ra)Xlpgmz`Lsppm*O%Edb{gh{+nCKEjb6p8<^e0Aa>tf+RkW zoF{%{A4=4_1QS((VW{xk8w&+WfD7%jXzWs#qmr&yj5VpNM&oe^jtao&MpZEM^GYSO zd#jCQTubc||8Xm|Hf}?&-Uv%j%b?pTg({y{GOnCpc?~y`f3lUFpMW_oB(m3b+1cyBl33q=2n%@ zV_kN*a9g!jx_@RPHP0wuBHm;R&Hm9MU_A3_p^}ym3SHRac&Ei03n0%tUxIgEK`Ek# z5)mC%tM5VjM5T7uRz@%Od;MXnR_U20K%1FKm_b3lU=;W+Tq-i@pddu z1E`%3b>^@4Y1vZ3a(an%TWRAqfManHO-|ZsZ;?2wDr>ms9Fg4jv>YsBMW|Xz4-53e z$u-hAgv~8132`~vTB-*~xOr}gF+!Zv_HDd0t;ZVM16;10U~zgl|NOVYi*xKLTJmaP z;F_(nLayze-*?it;7#ie@!8;WDao08{i$yg?u!&cW0>2C}WF{C&q0bAd~mnyqv4#+avc#8VE#s58W9uGy$ss z3Lz~71}(4Pm6m|I4fXkB>%eOQROET<;{6@u9|D98Jb($Fwqb}(0+ID23>vaKzFdEU zRI_iKNNyy2v)u-nX8#$J(tCpD8uw-N8|R{5xknNzNIJe5w(-%8XP694nQuN9r+u#n zempki-`TID|K`t3JRjg-p6B5wxi89Qxk%Q{y85_ljq@Pt#c_;Vt~tg8w`W?ux$Q?O z8B_2N|L_mfZ~fM9&0MULz`t2C`p$R0Gs|uBd%i#|;FQVZ;C7k3(gA{k(lvgY5HrSf zcR~f&7H6OSV_pJ6Y_*Z%iyxkI`Ed_+K6(I|KxV&Qi@kOEs>4G3w{P2eV%=^!E;W_firT2V2TbJ8N=jx`q7$PU^Z3J7{fo~y?`zBz6~ z-|YM4zc!)2H&8?^LdW020&o{TQ~J^TP4ZpRL0S+-d&hf+fVc2U2>D(Ayfr*4Q2sqO z(GB>TTPS%gAV6P+j#y%$7Lc@^YtX4{@GJ`ge1d}V?uQfiX!RFL!@OId%2F*N#DsLHy@2V?PTFi zw8e8L@^Ji^m#tD_yy#s=hq)bi+~-L_<}vQVI?)zl9L<^>Z(%(rz^+A@03l<;m~IgV z4+UHMI4msbFK6uj*yNXcT5dU*gM-e^$v%Hl7TfV~TiPg$aodGUVKq8Y{vzd42Bhqv z3cu1de1Z4bevBPdMV~!9fbY>d(&T(F<>SZp)Jl~)3*g24b$v21mtth|9plby6|Z>#dKVba(FgfFJt^Ob>#nHh4FaZzPkP#A1y_6}n3{SYYZ-jD^=q^d;MxH9o+SWB zElUc=01IUI%t_#LK)|N~LR*iE5Jze;EewgNh-<*L;wxyooqH<(0Zd^ZLZ$}b*=y9( z=!1Vrch`Ej`FsF_bSpJ!w+oBc(l^h1HQMf}45pkYVu@LRur1+AP?vsM5I#$iu3dw% zD`PphN1v1dO$;7Y9NZ^P-$FVA7|`tEVxxE_=xANvl<5~4M>Ub#5RbZz89>yQA%JzW zvr(<59nL=jh$_p}GftW?aF-dMGMQ?5?J@p~+`mL#6$s=#G_3mL`5?%5nQ^X#&wYs8 zdk~<;5z)d9_0d(y>%WV6@FTsY{!~u?WiuCz^1Q4T9X%0klec#C|{!qHE;g5XKU4 zyohwVL|jQYoP#eR|29a>iW;rB>lrR&3@imYc;7Sp5)5r)DOtwSxQ&JG!`ea`p1X#e zrVUuwPZt6Ex~z+Lmxk#+sNm8Tt7(gIM$FI!*1ekG9DUQHzdBGmBa|>IShdC$!OGcM zT1Z>C?cB!NuZrM9Ak02JoOIho?Ly1DqyXp$?!+3GajCq>dQ;KrkNsr}&G;UmW0`!1 z`1~nh;TJJE55MHl?}`cy6tse(h=8Sx|Fo2WgmvN(Vll2I;c^iL`&QaHWBk=6+|h3G z?q$Xau0|K$n3ly%=N6fJZRWF9y~c96iJFS%1@}C*&n>E57fs2x zzs-j!5y}4Zz5rr4&RblNCfr<(hrZ7TNX4^)f#&HmzQ_7`Y^=fKfWmM!N_~vG=<^YK z5xHm$8HnJiVA#%QGk+kvG&`X~C2es-MLN6usoOg#37ePRdsjK}fuJkNVw z*-=h z=@y_E3$ro3v?Ltzt-_{r?4;zr?`?iuR!mI2I8hp5F{X=huHft&pbo(+-dF_mTI_#* z@|3?S=5~IPZvn)!(DcSJT!IFB04;kNz-AM=eGQs;6+TaoA*MVJsIUEF&naY=E*6wi zan2-7Q06$iH}EY#P?g8wn)gcnNb3P(;hh+F=g<+lNHvDo0GfV}h36i5C_vUVt6-}k z1u6iSkL%5dy}S;%->1!+(2!O9983GinwWe?m&G&Mp7RxG9RWY>9gSZs?LL`w!7hkv z47vOD0j|qYdZo+)iUNxdDT`K!7x}DBK6vQ37yu$dV%*Y|-h4CKCS2vo6O+ejQ}Oy& zV!ZgImRMR63K|y1Zc4RO8qhv_xarf~>JB{0fa}Ml3i)Umsi&8)tQ43d9ELooKtz!? z&{8o#KzKIOVOpwBAC=(gv?eS9E>8l45tEUcOG^fANIT{!8_m>(6M}-eSRL)+aR@+b zgc9g}xEA^<68#VsdwB+jzpX3x>XtLYwH&@q8Qh2?Hlg4Vb$hO49{UOKm9`(?iAam^ zu&ms_cKQS7OUzHdW2`)Bw-a+?u16i|uMvF`vG}wsW!@x|Y~^7?DP3TQ{uZErlKVL3 zV9bH6-5nQ4k5)_Rhrbhj8RrwuC*e0#Pz&fv*bB>5Av6=o>dk|`#$A*ckk{h_YT;UAKXZPE zL{ZX1V9+!s?+_pdK{7s--H~aB;<;~M`%_nUkuR@M%S(5QYQh!yQ%2G=Lb_vIDGB*CgWTG+vL!>B{N5x`A=%mP9L z!Q2)axE+`!LBWhIF(+%T zV4I-b9s%do05)l{B~YlP-Dive-Gy4tui#$yduZMX5}utT+T*Dwf0lX2Pd<8(2xFbL zac5CMaL`4Fu}i)ieAGJCGD>FmAj|(GkE4zp>s^RbUHH@>Tua0$=itZD)Z(1vs{G1#oStHB8HV zssW@iF1@FNB^F~(3(&H>9dX`DxRxy<6e|J*YK`NX=K5&$`+#2POfnxB%LowaC}q~m z%9djJG(>u{qUV#`=-*1n@c6rB4ZZ4gd|?Ze6kA;&Tlx`G~J$VVJAjsH!m*{go%{ z%?-KOlw%HXyynSyzC!!Q2T(Ayx|!SC^>Wfdp+ILdTl{V=)Nn(IB`ljA$M)SANK>yG ze~|p^p19LMpxlRaH`>B=sWAzSb7+z3+q~J>pIF!Rdbp|qP3z$*_I|Ahef@C+&K>5a zRmU=8Q>6sQ>Olz1IWcyi8lr+c0$~|=r%)KygZu0&1(2rz$#fp~)As^AVy)GByF4OJ zEbUa{1zq~9%e;FQG^=}80mOKmrVMZql!?aY9dUn-I~J&Mc$=mcgdPQ}Sk{8PKk~)3 z02dh?=%a*%p&;mZn%?zl&xyBBtO%)>#wpqji$S|{>t_1=_6vB~xv=ZeNA^e59i`^V9z`7MjbsUW__InM`W$Lxmj z>B;r%cmC+Tetb52-s`#V@s&T>sp;hHKaN=~UZV__)tl*qmOCq>eRNh|@^!Ctl4twP z-~7$wtH1iIX^*TXUba*E=;gnKBhG`71#3ZDb7ga!wH9uEaLm>+OyGYC=?#p^|{te@)YVt;1 zlnMgwAPZf5END}elug77YLLOag$#UGA=)1 z_2zX!73#)o$|v$T@_K@IB_n(V`CDv}`g-s@sCifewZU=tP`;Gx@7{_cK#l21H zvxVYf9~tH(`KpDynlB}as%DLk&uSTUo3d30#qca}rPT>bPh*B>BoJFcHeVWpsw!T| z`};Abx{60CD+(gsLOyx|>$h3TjRBa@?#?MAH{|z`ZL)XodnBFWQ?Ct|d@=RH(+u%s zlK@C`0oB%!Sz1^~RVh=8@C_>D3PPtIC9DBIE(6F)q-9^yC2fZ~*IjardYz}98vp_U zL{P_t<>df7(p`jjJlZ$?HvY~1q0~y9l$$8JvH*-^lprk%?SMn-Y})N+HosaHvI1k# zz^x(SA^}i(8}tG{+V|#YM)kl zK?O}|e{j${EdRJga`kE7pUf}5!`Xs#m9MQUW0ngV8|PdAQ+Y$)q6ZKrNVrZ~nXH=i z+%!GYr3dpvWml$=JMZ^v)>mRK9AEPu`o>UqtMu`R|7l2{JduZ(zkHdp)42Zgx9s_y za)gB-V<<7cA(<=Ck7a_iFwF9_=kt4AFi!$?1%S~lc5)o+_6g?@gcpI^ zA$u<2UUaXAAHsR%x*cR3K|(#L_*<*w zd;}6cgf=^R<^PTvNI8xF9c4W#<$cz`7ryX?GRnTtHhn8+0JTnJO~n{zJQGGKlnLAaDWj=yv8Ht-yX^tpG$4>xpN zv}LFS{1hX-N1+Y0116Lk;Hw8PMu>N@d8=!=GS-3JxjTZB8gdoRdGwXW$I>#fh8B&l zFjuWAmLza(1%fqUFcAVsf{8mVk)e zcG9jjl5PzxSgdIV?6eNpG)~={zH+IjLwR*N4%8aVaU}TSr#v6!i)StEJUw+uMW9**f!N3mLoW|s%+0Y#fpkH|*T+B|V=kF?QrZ#VhXOB@2YLte{9+)}Z_GC~+n|D=g zOWc=K(46aNC5m8B<@feukB7x&mcE++uSZDH<>(dqz-PJVDFpma;miIlfP{jGcM**J z;F)K_FaB{D$YmJG4XhLkH*c}ojX+Djng}%l1AY{K&8Hs$ys1&PJ9)c{2s$*RKeTZP zS=z=t2GDYcd^TZVS8=7$tIY-Y=*EG9lQB(BBMcf(@j<$)jEo%ePXPe4Q3Id?WLd;| z^eR@P3-wb7S;VaqNTWU!{xYHKkjdZI?d8&ZGT*p>LcntXgJ%E;vB>OPWezx-j@zkJ z?N8gZLv6&k21q*#daE1H0B+&2QBA;y7R5p{XlXJ-}{5H;^gm8R|*nfb6&dKLi8AttU zvb<%dWP=AGvp7UE6L3kuz68+OQ1GN&3gOm|$2hFi?p z+$wO|!@{`>C}_R;tZ@vtv8ogx)TK~``egvc#%7ekckDsB7A-N?NQ1CA-{Z#d=>gjN zt|`VXRFj|GAS@Rbn0uGPim*~Sh85v;1TQu*?vtF8jw5h77j9A(H=I;F$Xv_rm24Ls z54}1P z{VhKA?=mCUWLxY<3Z%BT!fD(Ki{Nvnkte!Gf&qM3`)Tp#`foX0%5(?n^8$$K^JGAw zmWEza;GL$-iqLzE#W-@`j=XDJFEFUU?C&n;wIqDh$+9x_2Ur|dqI?$wjy9n!WH)T6 zXm_v49P#lO=eQ@@JF6%gRq~niTl(F0<%I1!Iq$jg`8y}m`?5#xI{I+-O#Wh)mgl%9 zZsT0`u3eWoX+EN_*;mK?I(7l+@3Fx8EM?64y~(~B=_|kTE5ps`(@#JBl4k##zUiBi zU;3qAdP(20U*cM?-9X#_@?|!(;KNRxI+a|waDjb7CX1JtZo$J{x^xL6i=E_&C!Rp zQo+f%$nvNS9up|obOW1ztK@3~4;Y#(pXPjt4f8b>_PDO%-T?QPf_5rS?M3ECp52e{ z&2T?0oH^lmqpHZr_$gVKZDvREJ2N-u59HywKm+`><52w4q3pmNBJ$E zi-fYZ#5*4p6`yz#4;U=ejGqyCzK*hFlUQCgtax11u{la^46$UA@8_k;Zt^}^?U*Bh zTV?P8Wf{`W0!Jh2vyI%gi5rU*Ch-Ps9{>S$Y`vI{eb4pH(wKHehImkR6(}r`UVl!8 z2mX_`8sN6p1!y=W*Qsb}o@^WYQN$&44gioI35Fo^2^x+&GV2QO&gwIJadxCV!qSTJ z6zm7q{WQ^r1=@RrhoFe%CU{Ai?~BX_a;E9Y{=K1mFS&^-qv`IvHy%%XR>{@i2Z51WkjB|I*qaFGk*5!XW28;N9&aKAFU!pkRR*3 zp!-eAc;7^Lm&k{GnmO<;m$~1PMvln=WHIC| z!O)==fwmtSu|?*MuvDGOr*Ruoa1fWkx?(jSk3XIy#%%N&?Knbte5MufR9Y{`PliR( zyiQY4RUM{Sx@9Pi8oFT@sTi>MSTe#Ia5~QG|Xc=k5i8y`d54Vl)j4$#_-mBGMDw2AJOXk4~ZZ_j? zPR339vA&Et_tu(d5V4UvfRP%&byaa8S7PJa)iHoUnFk&>HQkfOk+g=y%jzoYn(IRGOeHh6dz{LSpZqg7Y za`IsZSC=#)sl?U2{|F>%wNxYz#`G!_{0I`lPy%9<0mw@3sE$c(M>X9PPD%*F0~nn= z4FD~-cD|5om$6vGwcrZ%c5?9vV)C6$E&vV+937Sl0E`9e6dE01qkTGk8Srb=XB!4z zt2{UQkJDafcCc9DdkqUk+ig%MUSb)`%p&mxaj9A=5Id6H>muMNNkrdKfV4d=MIB+M zM4wzh5M80a_GKVvkaecTU>A+k8so5rCS3(a(Kvof&tFWM0QYTt)aOZoTp{~8nD;Nx z2cAN!@6#Kbu~}dozl;=YM$bM2cZOA!@jL00y{=-A=j5qYbz<4zdO(9~AY zQDfMR8OgF_){jL%s1m?a0bsj`m1`;sxD`Qn;)mm8G+Ig)S{q4y3k%kjCEU(#CxfS! zV+^|yVcrEDvW*Vk@lc6+tl=*Z``cs*v!ScQo5|YFmy)IV*Ckh&O5B(dI6Z+rcRE^M zp4bO`!0f8}B#P_3$1GC6B?J&T+f1SMq1W58y zEP*~jty(d8fsgJ}1qb^)>)O!7Rnca3hxrpQX*h?~V-v8S*r=4D#$1snH`kWw?>%;I z#CK{L`oQbmun?3J1nfDN^IPf@ceaHaV?VkUmfRM0YtJ#WqpBo*WrMjqizVtkd2&4n zSJBK{=Gk{0gp6+>j=Mo7cA7J z@m{3W6QLx+C8zF0jk#CmcF!vq2GB+|WtM!i(g}B-OgF~)b1rcikM)Tzsj+$&>(VlP zuh4HH>o?IV&-GR@~*L{pS#P`g3^d)`NN3SjD1bi_5EwOpoU z8qWW^&#BTi^LcVe`Ci?OdY@?sCYnB8!Nb~83q&<+t8cz5Cy(R_bOKlls0;dvb!A(} z(K@6LxQS{f;D37LdUj8~ZoSO#<&WRSVlT<#Z2>V^$BA({b}^CV@KvEJ3u4KKt3vCRd4joRO~N-v0Kt zXFvBm%4-UKRoLWP!TtK{UiZ4>UGI8V^5tLt<$FH!QeNo7+y2R){7LeMfB1)h8)!u2 zr~%LW&Ud~udH1{D4g1R^_yEbe`<>tUo#Ydr_(TAb`J}DO3l}aVKk_3#l6>9QeO><2 zp5Ooc&;LAm`st_lyguuK;P21;%+Jia^uW)xm`ZGXVjC_3LM^eLwks$*!2=6&X7k37!EZUTCCyEKy>sYoL~AJJ z%vq$@h!Trc7ha-(9LP3tvV%N{`a61_!UhVb8Az>alfGgJ|0CAsH0 zK|(G5l#^7R%YaPak>u<>z?~}f+W^GS3h^TOd4=kY%jEwhn3uW8qP>fEf4}rZJV|fW>Sk`iCOgazx#@NJdOV>LRLzw(b&+L!HJKJ9GA|8^(lX zEi(=dOSXF`NDGX~my^LzVrMJ|k?w@X!^gb?S36^P3UUj&-IGk)52S*l`$|FMXZ>kD zB3`ET#C+)d*CBr%rI5U70~H!o7H^>-+Gl?0P@l$B%_~`YfA$Jr>)fN~t3K~zcgV|F zBhvTm2Fy*_y@~DBK@gUvfa(de;@mXu-|3Bq_-k3*AG0qJJ|bbCE0h8}e~@~deih{p zPh%V{@r$-To=!jeO&yI0!(h9NP|Pm~a?v)CW#-0+Q<&X*uOsu2`(}cKDv}EV79M|M zSNTWG4SG@wk7|O0w6SpvV=Pf;L*^TS#o;Q7-;F2l^~RUwdKVT+8LCZoZBD(X?6J*2 z`!naBMcL`r6~ND{N$19SJQY2YG>^YAnZI!V^6bk}(4&_e)xfK;2KHI)UxlSP%JKuP z0X40D`Imn=z`+Na@B>IpEf_7)5-g+&fHyKGn(hnA1@j>DK22&@0hYvdm|-RyQ(-Lcmp_;^uZ<}fBn30>)qUm&6Ow6uMT?oRNP*)rM3;$|cyFZxBh5x_ z56~}y+p{?>SR@VE*zEI(*i$fZWta(L*A-#z$_OR{Tv?9TZIr>QvS|)fgT)|;6Z~Cf zvB*7Iq^SYPZb1ZwFS3bUq`pejmx5;nEy?2@H?qrUH5933e-vZ{whesnjgMWO9!+(Bu?Mx6oZjpM1XP&{`&8QsJ^1;T_a zyyPYU{Uy~5#(I!V_=akWkiw2yzG}=4I<$3@K1X3_DjG{cnYw0R6de~l5_YMa3gM%A zD&jTHZ?@Rn$1Up@x03nSKA9|^U_8tix+eKhiGI6WILXG!O{^NvCpWs6lKJXw;?)7f z0$^!P)ufM2TM-(UVTei5fUy-Z8iYt==hxDt<44d&x1oOWC_Qf#O|vp{&52dqg`&;f!JX(l7JsESnz=MYy9T%kh}Nsoc0&XVg-nl( z#UfyTQE;C*wU7h(r}HI&&z33l+dZfY0_ebDU$7afK%KF+QR7>zp3*9?J#eikbiz$7K}bsmFY$ z(nbab#{0>aE}gs7W0wt~upXSQBz|jgD>W6=W7Oj&waA8}g6|Ync&}7u?&_1j!%znR zw86L%B-E<0PCN9d&pzl}l{yuCovWWeOp6b1PN{LFjNNs)4x zo*-f7O4BzB40fm+>nH$J076M&+20+Mf4$%G3mQJsM12Y%OSZE>YqT3}rzN51qW#k) z|9&VP002M$Nkl&~ z^ta_0zr$mApy0IQG<)1H(Pz0HW#w9y*?id#o4r@c{b$dfP5%Dx|9)3?1h0PY_kM43 zZVrWmfB1)gnEZY@~gl4tI4u11|I-@_`@GgKKjv*!gD&w z+)c`H&ph)?fOlW}wO^aO_r32;PUvEAANusCKb_o!4?GNQ=*{J2qMHC|^5(i06AzHg(+%%~Qh7uiWB8y7@dx`@4VK~I9IqoZ7nB<7!&?A4C_lQA z<5l7yDQiKft5Fl0g9kVTNOPUFzsvf5y|Iv-< zIN@5`=Q_(tP@j6xmj_u4a9~=w&fiO~ZRWdrx0-z`x!tpN9HhvPC)5R>1=cAfbFhMp}1jEx5(zf97^kV8f4q?*`9a zgNG@zcxsKP%h8i~U0H(H(lSrCsofo{FY!jQgp78cIpZvw@CO24vP{f4hP*_&J9tsK zN}HWuU5&IWx+_L*4mXG7&H5>DERkQ^M9bgB?@FO}D#P8zgBM!v6)9HzG!Wwk2fOj)q6q9^s#oAL*8y$43xpj<(4ua(5_6XD=Y1DFa3qV-C3sFrl3G*#HoycOoqn#V><@sXfdmNL3HC!~- zT)4W-E66zrVDLD@)r2=Mn z{fq`tE2q9=4A}|6&Xrk{m-C7T8Av*o}N0GLeJa zPFo0a3$TYWf%}v8YneNleJk1HLB|L4a$)sm3KBAx3;_X)0)P_zafG$AE=5OpiweuZ zF*q34ncEA1xS=4xc-PV};y1>{hxf-=>xPSP>(P)Cd&ydp98y<>ljrHnmjMZ{CH?vH zN#WC9Od99k%)IqV+&G%#{OHS34ZP}V;Alj>>YD83$*@e+2S511w6GsVV4mgVLt>qKoM??d*g`UK)zBd5QIAzv@&j8N(cz0KEe(+s{tA=O3|3~ zUO~ms2o1(C*sAm%(kl@Q3^);{6AK^AC&~kuLK%%V8{}i_up+;8Eu!m^9>U5F%t{&e zjsut#;~5ULxIrkLqj*&|R=b+-lWJHIvJ*GL^g+Nb+@nOzQdkQd44SMpb--$FY{4R? zA6hI47~YF?d0~}?I~;}JG3nCq=GNzvbu7zz-D_x#60H9CW69h)LLv8$h^N(*DV%0N zvjp}z#=FM#m@=vR+?=~)^InGuRU1=qunV($9&m7FhdKuwtZ@`9Xw4&daSWn;DrGnw zte|>*TtZM^ogM*}$#wz+C&qzj^J8n6Q?s~64hYc0pQD%!txsy z=9A~xoO&LiSNbf$)T=OBXV7YM9F5r6(%psNpc-xwr&FO&qCZQ5jefN5Q^QrjP%FYN z;6s0#Lfe$?gz8Sz?=)4A)nXEy4x+d^#!i9gf91=A*0gwH2Sjn^a48!M5RE`6+CnLi@t8vsSb;?#ub z5ac*2Q5WSBn>AS9h85jCo)=78oPT|C8*n|r#b^^ZlIuHIgHp3+o6E@(0L75LI|neg z3}Dx0B3r`^=!Oc7Xf4Ei$@L=rRdcKY$^vdE6~f94u&*R4ku~6SW&j777wl*L%Rn#{ zBbxKXxZzXj0!ji*E)W}V9v7tBxEmFKo5#X%?L>uGeF*<-z_mL!ct7I`@VG>o)`z$g zsz07=u%RKitV_;W<9FECwJ%Zz&lbvKfhm{GW0YGVc9~-r5c9^0THkftE;otW+DsMz zKbMOrT!36@MrA3=3#MKmjs=E~oD~rpBx%WfpeM6?wpHQdZ^)1;+r%5F`V*L#~f`fon0P zXGb1FT_dR`T9P`)APg6=+-453nmG~Vv+ld>C6k*sg;a;_&}tv+98EHvCNudP=^*n9 zWEq3d4L(6Z0YcxS^^I3Zm{@<@X~F z5L#vdQ`_CT?NO&%6AGlsez;$zeg#7&ZGX;3n~vKzYZ&`R^bd~qFQ1M3#y6N$)bsfF zuJ75o>3j0$^WW_>`%%1%8|-`DN4X|_*K2;pebjOVag6Vl*D^qHXH=`c(2C|M4H}<8_nIeC9LBkNwz>B_I0Ghmw;he7zX@ zi@*4bf`R9{={^x&AJWBuaFaMH!-~%5>e&aWOBl0zQ zaO#U7<|~!9k^AZ_CMu^mMygD-T_y!L;@yOIIJu@8gU>PJN6^st-uEJhnhH;4764Xv z<_B|eF~&S<^9k+{F1z-ZbOlTA_;j0U5c(V4h+>`?rk%@vUpVC zFq@d=sjXqdItc#isY4G83wnVeo_q&+ql1#t2B6Y5c~nOG>{cOpobp_tJoQW_J4EI` zv$>UAq74kua2Yp*HPTuk)_Vu{gsdpgK9L@BrSIC4D6=4wb!;dD?}Q6ytwf1dFE)Iy1O8e!?gQj4EcZ-v>OxjG zb@CxVSd$?b_sgkU_y0*A0cbAMe`LZ$DFYGN{+m561l5ULc`=0mN^g~)! z|Hehg-MGhBnR%@f>C@o?mpL-rx!Q+Gq<~fJVfKWyu2T>RH@MVqw!g8*+h6=?$5H^2 zl*6$lKLhUULG8b#Cevw z8){Ht+XF6^eD)!dvZ1`Za*r}sCJ)^!ODbU`r_bXR?FE$CuO_4U$CK`7FDAAB^ZI)| zdUXA$299dr5H-NCJffo-*j)o^j{eH8{7Uj~|MqXYFT7HI$wQ|yLCeA(i|G(Xqr~DE)*EoXEio8=og09U92}8)%Cn zFJa+wtiF`27;vhEV7o|Jws1+hJT@;lOy2U1DEECpx`F0e3xQ5|Ia&^$gR2)DtPmTl z-o%9;?c7>`L7h&MR~U1V3Mcm0I>N|tWS^V3chGI-9bqoAG0xk;bCqUZ4bm2ZYn|8_ zx*gRDRg&p%q4}C81^w5e`TFc=CqP2MoKK^LT1PNlWNd^c8XE%%LTC_uCpb5M$V5+( zf~Ue&rwQN;bEgo|rEVBnDTRAK9<^gpFuSk9XKF#H*pil3Yr~|8pu3Gb(@n;+PUz3k zcNtGz0ENcsbhCJz>cc(Alu|FtjVFjFcLVFz*Ctoi|0n6Uz66j2s7VaGwbm*c*jUI? zyy*8?-)D>?Ql$b8-!ic<>VbL`M8;m24RLD7%_l4gdqu_q26^qEfupL+n<6+qY*L$=9P z){$-M(wIZD0Kzt4n6hxV&SdJ&+=#{$L!Z^6&gnofZ9=qJ%qy%9R8xW%?K?65xGA0K z(l1VXF-4gMV@RbMH*HHJJPddv>Bs$Ew;IQ5zH^W74DgB5d9s-mT(wy9e!;^16z8K` zunc5*HZAAA?3n-n`R!8Xyk;yy!X+m7Z%cth-eEojOf7E!jSf3VWeJx>K}EH`1zTsu zGEDD&_5ZaVtT*eyeqrAcJhpCaKl@9xBbU90;S-;H$)oLPblZQtEXFgF=b}T5pUA%3 zH>B+M^!K>9$DiyO)9`zimbd4x`I~ETdE5`<7VenfI{qMi;Vm|lWa{=^a34GO8eO2%brW;U7*u@{x}uPe1*1+-g2P z_OXv8-}#;2nLWDes3oHL%SbOWr{Oj4Mf32OF9!*LEWo$8@va+vH{4tBpRE2475ES~ z!{tNx;RbjNLGEEH*^`ek-(C-I7(9_iDMKb>0H#A2nGGIE3&J7_R=sc}LLiW8+*6d08(z9VZjMmq@pQwZ$sDY74%j##n2zdE7(( zQ>NvS@D7r>Q_qyXNczwu7--BeL0y5y=U4>grDSQE@K#OQG4M`YY^hx``LFjX&AvmaKgzMDT z3gh@Sw8sMJX(`sHj#SK){O!I%i+nZN2&}ICvcdj zb$C_ZwL<%<94yEHWW-2tc-iS-}@+|Adr2uM%uQ$fU|OzAm3qVV_Y{2 z^dSMVTJY7=BliF)Qbz&W3GUbyS$QUpQqR%lQb2f%_Rw-s0Nnhmd@o2A19$QaUwq5~ zI3{bl?pUT?1m$92+J=y0y-Oc-PslU&dA*pJW(xXIm*acm0q+rPWz(g?y}BiKe`tX0 zmyNURzWfnY&KQdom}P4URf+JPLW?Flv>A?P0m(Y4t_YKt`SOn7(P&(z$b{?WFxhFMF@rEB zBU*;Bw2ZMq&+07SF^k=uurFMXMLatZKgM;%L53;*u)E_%v=)YnXeETz0j}c|7<3aM zc%!=;ue#~0g@^A=U5X+U2==kC4|16a0Yo7L;Q-cx%;G|Vv<-Y7%&G5|8DpV@^F%9% za`&(*1f&?EU0AhnV^VNdklvO-jtnEjAnfSMW(c#ZdzTP2U}Bm)OZI~SjTFeXIXA|f zz>>_W;Lu(|mvyTJm2Luct(a-EnH6ik2vb>R2eb!+w1YqSt82Fqu(oK<7Q!LIFcq;d zcP=^CSP2c#K?4BuHVloR>h}EsgyH%nW0tKK%5X2*fcf8{K8&N`hQu3K5hY06@2T0$v9pH-ib}htPqG+~F1g7cnMo5$~nF5*yuM95sXS~*a7)Dzc??1);60@MFExYm8j*FQA>$s zN*?-H*Xh1Wq0aHIo6o#}=kumx`)9FE_G+sh$m#kD8$4K@8lP}^757l}Ch=H?$&(!{ z2G1Vn-GJz|Cy6aYoIA#zn}EkqYS10(EE;O{Xbm#o6tK|UC7g0)nfDlDaRCd)9$K{R zDvA=+yYpb3&6y(ZZ5b_5?>)f$QY{77odX3=JKXCGs9^sfX&zyH6O_u0vn2+C))4u4 zgsu&l+hMJg4@)jLS`pSzWDsnu;|jU5vWQn86lEw=4-4me0)(*}>3li+?QZ_*qG^kM zxWISYYtc=LG3h!c<_AD6DGzK3x-pyr?8p=eyho*x&@83e1w#BTuqNmuIcGQ}*(^RU zIG0T~!w~?X=Wt0@E}=AIR`~5FyFZi?oYs7f^I8|0rs?F#bD_ZEd&x%to3p!MJm$N2 zeSnFk-6P)^Z}MQ8s@Jt9v@C*r2GY^3sH9b)AebPk*|p9xZCcBw%TnEoS_f_R5%cvJ z2|Pl7vNp30?IU!nv{KUPH0mJQhTrystnITZaBa%kJ1WyQ^D}-v?wkJYNzYmNQg%## z9sKX~bNMu9q~c}EAla9L%qQP1e-PK>JLPg&_L}|jQKPTt^7az(?6YL z{ilEWr+0ya*@d^h^{vUT|N5^dKl-CT8mB(~@sB6(dCz;2G{2O*JDupWVeI+o_hi?)to_ep3G%w_tpEv63ld@-b_?s0 zCP0XB39s^50VFEo*4Z}j^kQXt3#EkmU%|^sxA&^kXI|qO93FNq@>l~ zbrd_#s5DH1#*Y7T?m3A}v>#pKx#!vQ@P5I;Q#`LFVo5iKn1dv?EfU z9ustUQ=#7Ehn=XsBwy|^WNwc3$H5J^1uZGt`8H)=ChxjYy%$mSiNLA+eAEqf=P~9qz8{LHU)?zBUN)FY z>&dptk<5{T*)kzr^^eAa_3YZtk(kSI4$pWx!FnX8<2A&mQ$i`{@lvwFPB3 z({q1G*HwMDx~DCy0HHu$zmG5!aNo!G%_83GST`17 zVTdIn>(9dk2<6o+zTIP5{+gBj>2n2?2YSR|s5aU2+@xGrC_3|wabu6@s0NN|;KkQK z%JIDTbdFMZmDj+PD_0`k;D7zse@#lFChYn1=R;teoO}g*8M3gc2^rczGH7bW#G=Sz zEHA?P+hn(`h0D#Vpb~znDu8GTBnpv}PS5wa-)A6yrtGF7*7&67_`2sZ?koLxAB=Q? zn-w;TFm-(r3xSmzTnHl;TS?2lH1(7Xgb8E=x5Q56kR8iDz@p5A0!a~z7um|l7-8(bv48_Nv(d0I2CMcj~Tw<9PJB0SZrezGLH8b892-z z@|gi}Zn}qyf_8;|?X5-Kgw-8Dk1iCY0D;H#ndNVvZ0&hT7o)lt)sk?Cz}mQaH2~j%?ksX- z`@Ig3=yPmntzW*9oWd>OjoWLi;T*pomJ*V1nMQ+cNQ5#BQ*?- z71sbjDJLyDuWpEY&KtCO5s+3vYlurxHRpR+*jZ+00>``aP7fEdYJv+Ch9UviVh&*Z zW@C20vf8zpRoqK0?j(!299`O}Fus;zE?QizC)=-ieR7coS0i?ZIu=M%Gkh-^4xMih zk{pXO;v{N4SR?kL)`PbfwcJDVmNHp}n8T`+vA;%LH|f93a?Dp+`5N0ua>FNev6aqy zd*$Qs=L=Cb=VL7i89iv$ry9oLTADnDi&5*H&;3x3O}`rRW|fatgmYMxG9$AVwZek% zt~8A!+M=%89FfVnH6_|Q;;Gg-(IBtY?1F1bnavuk6uEhgV;&$B)N`ZY3=Ub-f+L{VtW>Cm?8< z%#%Q&>$ZZaebV>S?A{vWyJB7Ey)K^d{t4qSzG>&Tb-tn;Z>ivp`|31=j*Xsiz78x}b(g`5NCnJ_yREn{}ux-C5Txhv)5=S(z*&{VpTR zYq_H=-g`u^m>MvypjLs>6Hh#myz`y!+%s=)dCOapcf8{r$;UtbaW+)@p^*7~-}ilc z-oM`kEdew7{_p?(nc!e{-Qy4Zzz<9SLKQ#-49)K}eg5;GpPYKro8H8nJKc#VmmkU( zU4I+@T7?=n-j!8YF8Q#waTGL^Ql-Z9x+Rd0(RE|Gp2scm$LV6o z|BD3;*NbC7OCWL1g^qMK*cA4;tH^t|`EJ@xj!k3%IKQYvEtSyQV)0?Ep)LX#B(w5g zyU59vPsnpzS2CPA8IK=QmJl42biH{Cnf zwMd(gddOJ-h@|C5;P@H&SXnQSdtf zSS2_pWlCDge8BKlCGy$$^?pC4B2Z&{a3Mh>-MAE1GqU^Uq>U zx($I^^(Wv`WN#%rGp(e&l$TScCceeJ<8S*P$X7zyVvoi? zNnS!BmO6_#-##6c#C?{FjEvmNVbecZL+JCeF~EA z*~ihMR5>E+>&hLo=hSrmGBx{#AEhsO!BBaipJMZcB{Ops=~*UO1eI0=yAC2J7}M1G z!ue!G-i8(4Hl8m@YG2YdrIk7qT%{k)+isk&4{rIL>zT!Hw+v9|eOdilC>uFC+`g~5 zbCErmupXrS!upPP1j)3sr;}Qx!bRJ^uvWb%*>>c|eU|{$_I$uSkh?F=ZnL}ZyXy>d z?}&Z1crSBI^l@*Z0Vnly*F*c9AU(m-Apm^HG{|7OZz^iRZ_LmA$a#(ZQtNEA&2uNn zL{_i+J@*n_bJoJ}7!~UPrajiS=f9MczU<5H_1Mw% zqZ&A>fdkaQ6!&+4Cys7;R({0EI z>9&Y~5FibVobQQ^OkNUl1x%-m;T=*40gU2AfwK48w*aHClo1rwhnY0yc4Q_OV63!` zGZupRFpidPJ*o&keT39a^5EwDZ3HTF%D!>{gIRH9Mg{W}AQiT;`$}pfTp5mJR$vwZ zW(RCQ3k+Jz1=Rg@f2u1B0R;t1x2cCP*H!AEK1BP6`}+Wkid; zG`Wqd&}g4=y=H02KvJ93g<5|I2ehyPOr?xfCYC!|R!X{xECFWNe+BfUd>n~5amYVf z5;jP04ws`l2+|9eFDIL?ecfF`gTl${5U|>ejV;Q#Kt8YY`)u~UT$$|GS-X1~xg=cO z2?}<>k|gn!%xz$L=J0<5M)?ff}v(}Ai<>uF$d==v_0eT@wFXd{b9w0OWp;# zS{EO!s|}tXZL*Psh8-Z-NLQlz_FyNz%D*lqJ6iN={m9!mzruKByr3ap0x`)1RW~4v z&1e6yF~YSdeaFonH$}7_%=eYZeD06qe!xz@N({_8B!MEs@f9`@n5BqIIKQ*Zrq%Ie zaOrkZIzE?dIDazNsC~XCxlu)W#(K1;rZE%m+}#+v6`g12%b0=NOpHy5VGgbYfIs}O^er))gy-gXdMyboB@3`~h>-_|p#c`AS=9n3d(O1f&&=wXT zbdyc3^(V)-yH*K=+0~p*+Nb51>H6`y zpFFYp#>oPS`{7PLW`0cLvQX90)ty_M%S?wPsiSl*%hC-?wcs7n`@*^{OKaAV^urPm zf!A_KVNspy!j?x1K*2x(QL`ryrblWi^5oK)Bhxe;V=>lP(!Ia7lDpv%`f51^R-=t5 zm%y^Wvv#+r_NQng+jC5@PH^7)g6s-hj~?K8Px>eO?(gh*&-*=Y^1=hAsrN)4vvcED zSsu$}N0i?S=8XP10SP&0oxmEV*B@{eUk%B%*)aU$KmOxHCB{paE+w0QD^ET3R3eC_ z3s0399|nE$lb@Wt*0_UOcI`*s@D1OPeEj1dk6Q#6zvp|t=bq0@r*{hr0_z~7H@@+W z+1EXfk3ar+xYD*BCF2av0tmnO#V=0Mux?*z)MBuoV!)(UD#SWQ(a9PYG?cQ9TrKKc z1>{-6?IzE-QLklAwxa8?p)^>Mg)tE zj5N=F!0Q&UQY7EH8T~vSQ_hb!%>^poy0V<|u(|jAf5aV>-_wF{0iflHF*xWgDqd`-FETg1c+=W-}2?$zdc&{MN`z=0vx6X81zePJW0XUA4 z?h1Kq@X@ubu33A?3@z^2rd*q}U7tLh0U$j?URzvmpcJ|VxK~4lR|b#|OWom{`rQ;D z67LQoZy6P^(kn2Zj0`7BR}j_2>&6qo31% z%hah>tbW|%2!_stOpm^%<)Bt!F>aAbM*zG9tU?97iszWqQPh>nFcX7TWNnvWf4oI{GH7QwvkqC&I2du`%C0O?^BV%$hD~-jKX4z{$Ob{3qe9D+Ldhqd5rX( zuTrMXcckx+hxhwq9cpbyy#`3Ag=vmrzmGkuh>wXPK)9y0p7$XEML}`@^6eZfn~5T3|5x}%#nlESIeGoCm)byNdKHE@_3$ZcI5=CPxD zAGI3DT-B6V%)aGYz9o70yWbr?{`2L`1h4$Lm;1YZv!(EDFF(MdANhg-Y_^D_hr7xa z;8dZ@3dAmUg_Ymi+Vphe0R|&A-l+E=qba#ed!NVjoVrmd6Q954cPXq2xiMSc-PFOj zhTkwmxNk5|1zrGD6pV<#q0n9dGqXM`-~h(B2BR?4Jt^mleeOgkD+7cHG`b6CNVUyX4yWzR`E`Opx6y+qT zs!RjcAqxmWHPTxmu{l0Fpo63w&zc7b)*9iAjdmE|5-esF0XiI)0`ei!a!$q>W=<<4 z&L~=^KKIl5ou~W_<1iwKY=PV^*C|hbRel-<8VjP%Ed)ojAgjyC?dD~U$I$qzCuM*^ zsf2saLj#0ZBnmRh)fI3NnrM|cMb_UMjMil|NEHCrU^>-KK7j;Of$?8P^;2uht;IS5 z*d2D-+VLYZFPI{vD6nArtJUbHcb9go78*3o4whg9t?#ZTjoNwI9Ji8ceZk}n6_Q>I z@vasi;XHoW>u6iHV1R3@x03eBQ+K7hjDR`MMuILTHeob(&}utY6U?-Z?7PwZcH>#J zPX}gBri>vLy+P(}vVnQmTMl^wkdUB;JVf2GdtO^1_5>T@Zi=Tpk0WE)m|QO>`Tp%y z`oxt>Avm|u;N3uo-6<|7bIF_8sG;2fTISj9-z30Tl?|aTp91w+sw3$35RhAoXg~tW zFXC=?iAo&LKL;s??yPnSix_ngoV^TC2you-U85`G=B0KLOW_;zqn+f5_2s0&l($Tr z&IWEJcN*1XlfKH934-+k?S|=5G^{R50q_~Gr4fR*rdoi5BP^~4Z0-~b)O!g*!_6L^ zR;We~H2Sxj0&egqR7w7IR`Z`i_%t~;>1KGqTr?b8beZoGfO&~ILQ!kDgth46e6qaW zOcqzSlbiFEps+NmxMlFx$>vU4zuLka& zs~*Y`RRF>YR@=t7tr)jPl}&L$Hacr9Q1{!E&&8|BhggNNK-gDY7dWe{#yRrK zj$~+`R_0Q0(|AJ50ETMtYgHKTGPzA~M}Uhxu3h9jVlwO>#65N5?5Do~qO=if&aAapYz1C?zD z`;Ju`?L=F}4^DV4Bm0p3$9sajp1)yy+IxaL=F+fhPp+kRytu#lcTc@%{OVmpJIkv_ zb;%rWS>N(|*4HDSTn_f{#pUp!Kkd9N&}W?UfBn~gO^jdn+rRzWGxO!W#=-lwU;DLW z)mU9K=)LcKZ}Q#W{oTpW|NPIttU#f8`^;xPGs)3ce8pExzVG!#SECu-xN##a`JR08 z$?VjDjx{#AfAJT85l>^c;&b7`g?m0{Y(YO6nZ_&@Or9t1L+yo%O zK%Gl&vVK{IUgas)?>@f=$S+zGwo0cs2Ox(G#;S<>_j$%HvJd%5bB}BQ&;2a1|4zY^ zA19?YK*=)TjG)&7YpDQAo&1)Vw8phN0M_vyx$Z;o&Uht=f*e4n6!a+2VU?Ra>Q5Zxr7)f$p|86Y>U zVJ)Z^i;SN$OH1Va%dkAVggkeJJp=iY;ruB1PXM*A01V6c)fc#~HJTQO%526QjQs@C zQ2x8RwL`pY;t^6G8|3>IpoP4nJdXWJpwhIh4#7Y_%7XHa9tC`q16`u5f4;_ZD&Oj9 z#+K+)S9$^I8wcCTo;H(IX3G@SOjll3%dZ=3>^JBiS__@SUEmU6*Jkjjwd9n3&ACrY z$SQs7IC5SCS#UyTfa^io(I1p2!NM{YQR)Ki3-~*DLrB1@OBq$rZBqW>1mK9vv2!v^l8qhWZdi^0|%=~iRv{C?(EFF>|P-$I7 zY5PHmey6x`uOy0;F}yF)e(t4=>{H}PfU(d13{Wn7E|$ssR?ZR>$LCFi9hm1nEuDjW zQS{Y&)Pzb2J^}z-P)>7iB2WA-xCU@N0A|-U+ILTKjFK-y^teY8^N`O#zQ+FR`>cyp zqD_xpcWtqk#)o$FXxq3u=D>Eoa2^YfQBjfJF-4Sl5^pe&t@OJ5!;HJ99=`i$$T`%t z0AE;F3ZRmYgOIK{hbTpaK?3W}%MB3ffhs&h(R3S7^XNh92s zSzO3nkb@=QPzq)sU6AtcPFYOvyF=4UuUB;`soa^~&zH$}EeUxSzZE3oJ!-k~UBGO> zceSF@jdlbkA00E63WN#|E{6P1|L`)uPd;%WWjA$;SC(NfrJLbHEfG6Av42~GDeAC8 zS*D(}+f)0IH^)DPGnpcVDqWMT02J8=hHTDnR|F~%FmPia<7+hx~n z4icsv>pw(E7&ctS;096KBr8Qe(5kQUjsO~Xu;ykpWz?c?SYd}0;KY2*5&NqMK-gtx zx!K<$KH)WDI4uUl-R)JA(|z2Pz|0oe=sqkBu}ZV@MgWDyw!6K%-BGAje4T#O1OZX- z$YQ%Kk?+T`8m!Zg7Pw{{H#ga%`p22@yB`@w%jkANCIBm7ssXA%Gz54t&Rf#k;5UK= zu_CGdupAu7$XKZ_l8nLGhB2xG43-fb8*CnR(NLbYPSmoN+NAA9$xYh)6b!t;sP0FD z%nNxI;K_1jysQ8RVdNy;-YLsIFse{D>rUSJy{dy6f$e$^OY? zetU(unbtobSp$ZA09dn)8`9&~Qj5ZSWKW^j%?taJfP802Op(f2dM`0(&~8t7?{GMu zoL%eShkqkkZq1{Gj>h>yE!nouXT+vWv2u!8g}e}ZE*fqGPzb6pF~HmLNvX={$1rOSqUWr^A-TOeV9*+Ik%Q-C@?pW=L}WxY2IHhIls91;@n0( z;Ci>rhLQct`E&C);^fV(j>KRWT5O16 zMd%yWFnji&F-zQ_(^5I>+gj1Fg@Ei2Xv!Sa2}|EfY+~Kd239T`2l$F>QR-NL&p>C3tl)nag)+Hk?bEpC8- zfPK3Nt91P5ruTbXtbb8-CPzz|@wi=*W;J(fg;*(~p-qxH3xlK~Qv4*^nzV$-J^BzOm&kZ}qV=05?~ z%zArr@e%vN6cl~Qwz1stn>w-D-4hC)%R04BaP&fUjQWknNGm1UYg|7*AH?f4o2cj6eAu!{0iv4_ZFc@jTxx->m+}U9TEiW5ZXEC3+{x z=xuL%TlRI=QCFDX^^ZNYr&nK4m7`)FL-tdNGSr>p0g#@}7{E&Q!K%ndN2svmxTqe2Fg}S_r_gOYK zbt|}9uXmmgfKXr4mEi{b4!kEaOb}y}sB*|{snTP5@(wQy_f9&DIDC`&LBV6yHSk}W8Ju7mWtWT0R-Hhs5)L4YN?_0-OOgEDA zECh8H%6a(C8ob~MK69M2Tyw1JS|$1R9{jWM1g{g%vVuGzsL-U3d>YwG<()R`vUR4% z2dAEp0;vyOswad%Xu#a+t)do1;Yghs(`uxKOh!&Z@isWAn25aK#=5o6XFM^Pb_*rh z0m@))cvgZ+;|6jQnfxYCFTh4D12QaxY`3Tu$RVkUtd_tV>H*@jt2_DZ$MKqDn$k_)aRr&ELS4^u zO>oK>gb`njI^W{F&&m4=?sa7##^gD9V|$Y_pg@kX6`6!``rSh&=h`fG- zwr!AapOM$Dk-q6Ft164%M6Ro^-%f7PZ_ZQp6O_&Pm3pBNeAT*kf%}Y2sf@2@3c+!` z{7kIP#%0a&QbfUYNPPMP>%BgT7(2|<^5A9aLYJq0TJ$B$<30k}q}ASgpxy&LHc-Hd|E2&S*S$1d|umiIL0f>Yhhkum+hA(y*R)7?*wegBGjSiF+vx z>bg$8BSt9YN^8M-F!u*1>rbFf3&9HYRe@5I8=Z#pd)`-P_vtcjzmQk1Azw{%P>8 z673M3A*=scFU!s$PYA|_#U1nFEONi2Ks^Uz) z$yzBp=KHv9l9AV)V;sK&m{J|t@-^mI=Mm@V30Zdb*34_>;y14Ozzgj62F zRv?;~aD!35=0jOY*-S-A<%H^K))eG+tq4o>&moHP#mAp`5LrG-NANyEx_UzeLd?80N4lo|^f$1Ce+Q|)e;?@C`D(tjXS@;_;Qw0`m!9jiZ zBdY{+magqE?EJ2R%E`F72^(v4%IgFJlvRSPfXlbXjETs8XGe`J0^lR@a0$nSVBR<% z@Atg<2o@QJj(@O9u?mJ(na_(L$~2QP z%4RTF2P{Kaq2BvsV2G8I?m%UVWc&?0?@_XU$vB5FAW#Z(zXqsy8=zy2IB9YS3c9hY zir_pdu0*;mIEf;h1UiyzisGtq9fq)i;CZZphA52aNN&QH(2j0s+n6(Gpi5Gi(gBu( zdrP188X)x6*4L9h0`DAP;m+A}yPhfGO11<; zy~Ox2E{UM1tiQmh=R$CbLBV76y#auL8~EZe%E4}I%hWwc8UZdxcOeg;8Iz<131tLP zZjKFhjAJ7P*W`wm;EP~r>n0k*+qk;jMBr{xI|$(AY6~}~OG)kgT+(xJr6UNil^Bp6 z<`rTnwr~;L?OsP`t%f%lhYDBBbms1WY)@?C8YW7C_``veX8crybXq0o4KfXA@(x ze3B32t8)XU`!-{faa1`*Y(e7fU^zD=6GO(g%^w1-lbbCQ4W5daVU?$VNZySpY|~f!)T!X0!khq>n%#LSfjsNx*v+ms zrd`fK3YM9sdH&u9{as9zyG)PL3V3cl}3FC^w}Iu{!u7b>n!MLpQYD?X!|VR$#<@7aYrz%_RV@w^{p- z&1ip97|c3``;uDHWogh9X`eLj`;c3}cZi1$LOc>+EblY>G)JuIkrerJ&XWOf9y-u| zCS@`24BIG=mVyyyk@G&ExgE94;cirrkh-9`11wbNRY=b5A*YsflwHAC(9!zSy6#aU z*BSePb>oyHTM+ecL1_aw5G4D9{a<}bv;Y7=07*naR46_+vmcwD=k6lTc{%;Van?Ov z-|Kul>II;S6fXE#=`&=%y%6k7j2N7l%9kGj6RxRk8%eF0@N0lE${&JOay zU}F;?03L=#MVF%jeFJ0^-5e?-wz)@39^(zx@XCq~_^kB9|dK;Ejsi*?Ydt<;FwhvJnAUWHir#*=TPFzXNX$ilsiOg=2M@aAKL z!!61SKd4hwl-X(pmB$DxVVrT4LKidN+Ov|IaV}gM!W;J}>jGu%67JzTe6Qe_@d1rB zI8C~hw7xC^em#TB(buC0`CscB5uZ>n?i%2?*H2=Fqif19QTN6p6nJU@EIi3Qr{Edq z_*|t9R{@pmXNIGYXOn!tZRq(C%!IKC{jHT?%6F#iJe{}fw|u5RiU6Q}ZH^lAD4!}& zsAi0KjA@1pj-0kbJ2eO?aT8fUx1$Tld@VqG`-%5xeHby}NT&sVZw$v}7fc5Vl)1=^ zAN+Bz6z~14E>T3&9%Q&FbO8r_G&ZqX$NvDeIay<&+6|BfqT^%axx! zcr5$=v{=gky74*dT%gcVq;j44wEaxmbPZvW z)?${(_{cQ@J}s}vS^#aqXiVL9*H6a|?+~93qqCvl5}OMBEClfOT*xVdr!+Nla?dvV39dlS-^3C?;GXF)$Qm@O)5eLIEbucOm$_PGRuPDN-TmhBlZo!NmTg0qVwi<+8GF2ZZgTX;w# zXu0ttSaAvnBjrKprv(GhcU>MY!ZOWnyr}skBP+1xO)j&pFMjfro%1%y-{VJi9d)0e zP+)p~`j{5F*{}7W@#xa$6aaai9|g5GgPkzJ6gijN32PZ=pGy1EmqSi?iza3QD?kM84MA*QZSTp?+ye}1>X>)a7kBV zx4(vPDPtoeIe-ZdmoSvG%PQX<5GM>4xsPyZytD%E>ylaTG4~lbwgUKM8Vc!Bn|ABK z(Cq-CY+)95yFpApn3`hw7=nnJiL?aeN!cC+J@SPbQHT0!U_sd2x(b82n5+-xk{c~z z)sbhl1C2Xj6BlvoSX}5NrDcTss+BP&E)JHlUXsCI$IT~h82iT;csDL&U>vQ3o8-&b zCJH?@%CZPks*qmk!5||D?#xpY<9?JSd#|J04QkYdC1KP}1wov661c)$=@LiI4SCY+ z?+NJK>kYH7cW}$nxOOe6APfsQH*qtnwp|cySVZ{My{QcB0ve+0w6)rpT2U@y<}&C5 zymxRV0>d^~r_HwcO{2)D$&kff!R%Mx|5@u+rrDi!@>rnXjx@P}+%PA!X37-O&y7v^ zQn?z{YOsxE)!O>C042K=x?8!8_Z?gffsFQQb6_h@D!XZ+#^#TpF#Y#tj4a%|qA|T* zX(tOO0PmV;GH=wAl}(uQG8-}U&rx|93(p%==$%3BHwBs+^GO56f!lmWxZy3$xk;0b zqx8)MTv09JjP978_Fcp#P9HTsHi*ht6%MiN^LLe) zgT~L%WtH>lfOaUOMUI^>DL9tM8SSDAALnMRV$F{txK_rtRT1H&$7YgoTm;FTVM^@w zYdIKTp>Gnn})hV?P6Jp9ba6S2>j`7FWFzgU#&0|YTdMw>tB-HAV9jw|qZNJ1OC6k0P zVQ9*UYfhVddcIJO)uoJpn*gAIkn_rCnES_Tl#D*HViKlJ7Q{LlYPKJkf9OrFzQ%q+^g7wxmTs`X~x>M;L|?omJVp${eh z_>cdXyzhPQJ1{t!rE$OVV0CJsYb7K&tMX4+Z1DnyN|3Ohan6&$E!KD9V+}3`C|HK) z(LzvLz+p@%$Sr892<~YeC{U;kST^*>$;IK$7*02t;qZA2ZZ(5jO8Jl!2;3wECU_q} z@u$rDMne?Gil>?9vC_lEX}kOwJQE62@gn#scp#RI&KsgAU;aS^(vn z8_2*|+0yp}F-yv5lucPbS13dqeq1fJ`Yr)byXfVNuBX&pAC?cMj82Bdt6vaB)T=v)UQ+EeSqAom4yk8%&v zl1^|?P&hn6k!N{c+pR%A$+xs1T8VuXsRYy4KVU!be(NY))bdSm(0&!*K6T$fGmPBE zo)1le?8W?LMe|*NO!j;)zSsJfoGSz7C1K^c0qr})!%Aw|ncc;Gyt_!B5PozIs01+H zqm9DVDE-8J1U)LvB5PAwOOUj~Sl99qhb|GireYu3k2C_XOoEWEr{s4gabBP|1P*Qw z?LOL-o)>b6fV-y!j(fCq5rIM-$0E-N9=kttShBPMBKj!r*A`FqGeB_Oqe8f(6{UM& zwx9jOxwq^y_Fv0mL)n0b=ogW&e~|T~Q`mn|l9&iAj8_KwhbV6qAA2mlc=Y$E299dr&^2(6nflP_9X)VV1AErMIumzZ0Nv|GV`Iz&BVBy? z6j+G6XenOVxy3?5fN?B)`hZ9SR+id`7*{0h`YV5?HD3@62kdJwQ7k39UhSgqLX?r; z^LJ$5^XId3J|jaWbLM*oZ0v*0#k*y4+(3_ectG2|J6yA#(7gt@B{KxId3KJCFJJDt zAzD}|rPtHH<5S~<7H(1>hDQYCfXZO_Se=UqkuV{BK!c)k-O8!ZvO+9{L0*Hw5`5fB>Ijk5Dt7;4k~xwolVp%& zq~{P;J*Ufw5)4cQ;cJ68ZSal_eWkGrC}?I$-HZzEqpHF%$3ZJm3x=;~6A`y~ZEtw^mOS{OiQ17H2_gzCl>!ABp6{MY!t`fLd2Ht#K?u-NZzHQ|pfRt{^ySIk>Tn_U76sxlSLQ-vW%H9`&Bo zN0RFeh^@kRo5f9OhTnbhwf8I{^%Ts$HrIHARfgMKq{& zWm&amE$qTmLhHpqBZV5 zYXJ2-T?Twn(7eqC03b422aaVM-*_~ACXd*lqpdP`ov~SfLIX1mpk|#=c6DM}QewIH z1CpSa?oGRly^UkIOFxy%`b4TBuX`}u!H$?i&~&FFLNNFGOHFRRWLAU$62-Lch?_O*A1*fv>1zL$n1_qZ z^R+DiSH@RyhkiUq`UeFE^RKmOjahh;zO&5S*{dbpGb~sH$}fV$-8G&tx|7Xl*P zTfxw-m08zi$uk6Ej>($V^9LR4isc!lb|2ZV-ACsz!Mdz^eW%}DhfKkIIUU6bzK7-3 z_%}Z%wCnr$hX>0YN%A9}C2jVE;ZxGz?uVL(u$WWnf_jTM9K1vA*jzCt@A8=pAj}KZ zlN%m^FIq-g7c7;r);Q-!AEF*@k6@Lk!yxX-+RFBN$>}ifFpu0nK1{NfWj#)q-t-OG zom`8{T#tV0`K2}&yRfMBjGwVP9EUT{mO%a0eN!6*7dW)BH`Az?jDV^ zXKcYz|0+C}?z^{5+HSIYooM1%%>nP*=YunE3!0FTrzoMglQ3P<9saczYBT4XUa?sUR^ z`q^(&jt+6wjK$Uk04l+c^-vnyz+Lz}aWu;CI82v#t3WXac~4$V;HE`+0yyBBe9r=) zP>He^`go3DLMZ^wm4;Yam}mSrmxvj!D^NF{1wB-*>cE2@1|U?v5!mR+%kf^VXH*u2 zTW2ySeRqF(XBiI_Ba~N@$`Tv*v?bq5mD7AqQK9=!ZgrG4yUI7nE;|6ITF5OS!>l92 z2!a}O@XG)RW~HKclqUfKp9ds-0if&#{d>49goC^VLt@~u#W&#JjHR|JUQj7p9LHCZN%hP`Lpcd3^VJgaT)j`)aJ zl@-oe_x3!2?rDIK(|6GTtH5onfsf%5^tN?DY_U2D5`z2dSW}*2FGcWT6A-9Nzo`N8 z+@OCQgE^b0K5hXHTmy&`$Pi4tjlA1N3G#TQ#UA@&vWOhGxT<_YF?hQQy<=D*`iKCN zpeFx=tV>u;w4q!2BNFc2omLH6S{1L`OC7Dye}CH0+{vc4G(ke`qBteDx9VbZJ)x{0f0bMuY!j z1+FNa;Gic{4J+1;_?7-i*^+co^1F+ZN0*iS?`#px-|xAM(UF1Ct*9WOxKx&xxSu>} zWtgUzrOHp=!2bd(VIO8oW=Viivb+kKyOy^s6LACY&>E5(5E~IJd0G=D1Up^5G>Jro5k3+mG#?m z^a6B>Oioinmfrwlx>Sw*@<73MDivBwEu9C)Y*ltyMoEf5+u} z?!JVggvwxmb9?HxS)mrtR`=i1K|HG5~-+L^@3wf^Ta2xG}9}kD4!D-`60e7tA!NLfp>=za^2W z$qB#hG4oM48}Dw<)f{Z^_LI#U*V(8?8>(;<)319;qp}X+U!lG*`NX&gQ!6Jh7$rdS z#~P0(^}WxaVZ}xb{xfwNR)Q+7Q`fXUa|EV*J9WTUq@ZhTBdZ z^gQ)J69M$Ym;wqG7~89qyF)waTQA3avbImVG3NGGFb4(rGsc8%PBU8gy2F=e$#ORQ@95Jyt>y;mY6fV zrT@=Xow}R`nM+1)^cOdI(orOXrdgSXx@>^30F=qY5b0nykK7A5DQFIL5F(8FXGEJI zuNL!*7pyBcoCHO!_XhcmCF4G1Vdw@Sn_FtwSDQ$Wx@kv$95s|dKIIJLki^_>EGXIV zRErRsJxlZ-HE)wu+J1$3ohev=Pi?T-ps8T*3yc}U+~!=n$ROGbR0V&i1M7j$o-Wt} z((A{Ev6qtiAY`q|7~U|~ z?0uG&01YQ`Wsn8QWTH!RynZH}A)~FP-B)6;?W4Y^8>WM3AKSvZv~BDY+0qbAXxs7Z z#1IjQ!TSa;C#P}!qW|&ZS)NY%c$Q!KP-NIX$i3T^_oOtxOwT_1+0O=mblm4>fi~lO z;uD_;Gog#(YwhGMZ+T1dE#LAj$-n*Eza{T|?|Tz{70!qEzyJLY93Y(4{<~X%Faz4= z^M60C)$;p=U-*S&-wiW@CPUx(&UYpaOwlh2vjCyb^$n?ZpxTkMLDQ=5e)qeR|M-vp zh}+MzDfhnjy)XIMpZ(d{Xb}lN@xt`hBx5< zpmm&NVwFJPk+UIdVw$3V{V~C^LS|pdj@+Dv**Qes(m3*JX5Z z1JLAI;7U2Iqv#6{Hx2lQ9%8{kyW1n^r#zEh3Rto_Lj;bYO{&l&BfzI+%%?Y@kz$?0 zw{RcuVF<9(26$69tcl=c0qYd|Bj^}XslXRD2GD}~Kv(LI`rr?QH1rKZprNwC9fKBB zluc9XMqc)`K$W0_LY9Ij@_O=o!Skfarhk=i!OSYuEo&=;0HAFjzOGO{&%90zA-q;B zKZ-yN^yh+5Vk5iAZx27~(&DX2A3g_2Ce612faiDhA9x91Y*9D|5G4?%xl!Bd8o=2F zH0IPCl;+Z+jNuCR1RoXHyH1&wNjJ|o#%#jZ0If8ouh8p&g#eGa;}syulb?co>WS>9*&3^o33MyNlbK7floCBFRFcr=1l|8aZK7B1Of60 zndSgaM+nOH5ReqavREm-lxjapb;%ptE@&pU20*I|lOfVSy*fMyeh<57{agUGKuW)7 zo@tSnO%MTrZG9^CxV}nUeN8Trm-2l82y@f{yA!E~8hzllfx`9_mW769RYj*5^DkjAGm(P(ixxbc`5decH$}sFkG^B7taqQHI~Y zcq?9vXW8YV)Wf8G>}$^N{=&R% zbUwxm@g>*~7`u*YML*inPAP!9Ogsff3KGr>+KP|gx8QhEz}$LF=R)#A;Wa&KeLGKA z7>m=nQDXN_0{c?o^VKqAp-W&phtPx|cbE!2Eu%vHN3{#Wn$`mjS^|-uQuvYOE%tKc zy`1Jk0FYn~cU}X|-Dlyf23{65;O6-Nfa?pJpM`*EvVo-LAY>7nlO?4faky7tb;&kW zW!NG}T@i9D)B++tpWGsb@}d$^DVgFMtVOROyeR2$|_i5&5l?QNJ`foM?&aRN==YniLHCmA0w6L^$1{a zD6j(&(1&5kvFcX(Fp6xLOH}3n1!PAIeml>5L+Vi>H_6}7(8ObK5lN*XfJdH9;eD7& zo!E!G7kMtDEfx8XR1W{hU{u+R)`tVx2$LvEf0ZDvm7Yo(Y*3>axl_i(4vcb1rt!Ey z-BorkVlol)7VL=T&>HNsYhGA-J}ItWMDiAsc9e66WCbhMM)=|A01)1+C2MSg7tc47 z{+G_BAYlXZ7?&`i*u-=p<{Fbt{3}p5BftZtNY!AHL6ne_Fs+c^GR(IXbT8V2vqe+d za0Ts}0hL5C1b1&GL@&c$bgjO-1hiy^-HZGc~R z_D<9ZeGvXS*Mn(*G0Qe&-Q4!vjcPZwJ$H}6Zv0{d{dK8PBAu`F+5G|tb%x!+lzmt^tEn!A!4^x%HHk!DMy#al>ji1Z` zlHUC)pcfkfO{Flv1@Lx2o?7IkMjA!t56x8in+<|0%YcTCN40P=n#q^Amu{@s92ryZ7)@DSH#i)}CGy)K-*wtU zfrTaBKTQ`^!*i&L7Toucxvl`1`eFv>p48`yn{1YgTu9;AAxI!2CzB_z z6;h%!dB~~o`h3V3M4FF==12Oc4X#~o%Glsa=+6eLG=ALl7-*XH z&U2QNy0HFKw6M;CcAM0x<+m+tng!h`t)5A{MTG2}V~}NOjN|`i@sE#j^vSWANTX%R z8O`rU$Zk$9Z#nQhE29OC{&$MudP_QA<{SF4TV$$oi4E+Z{K=oZ1;{(jwCFiDd-N~( z*kg}HiQfF?H-|Rd_kaKQC$s(lefW`&d?dapDE6R&o4Z+9wE3Gon?KIRojsqAcQ4n1 zc7lU~gjx8dU;3rw)vtbac6rP3kw+d$UiGS1B`@HM@U^dfZSwZFzdb<3`H1>Ze9wE{ z6Q*20`N>bl;}3rDgUR=P@AoFJeB~?Wqd)L#1(y`^gUW}0dX8xqYb5{xVLlTesyKwE zld^&)V^-lGo8C++Pz!NiZ5jc+)WGLqo0{?LD#k6>9_NRz@22`Af`RETebXx@F8+q- z3jM{edp*X#U^Ur|mWDKSYzCHMp!lWoU;66RE;Zp{X*2*0cQZT}eUO^H$!=atX4@3&~zeQ+a*6 zpm}utnfab(Fl~?Hg4P=FbkFwzC&#<2gB#>qg8pLC?|dGR@G9#h&*wr7UPk(_3qaJw zS7Wvi%U?=o3JeO`-GFbsz_ozKqHq;{NPy7z`&zeQbNx!K8ouZS9epTKn3Bu65w+l%SPl7mS1fi+uh#7FD7pDlm1e!9~z7{ z;O%IO5&cn()7%)>9S~3>+OmMZ@G-vxA;puz00QjB`3v~(-oa!o{5AaEYNwUd09v;B zt)dNhk+R9RJxg1u?YIXh>b`?HvW*2*1#Yr%KzdySCKY_BQRhq4YY`2_BK3oGFoHaQ z9@JCxSxS*=MlG&$(^TNFw%<*vfP-4+=^?P(E7kF(xJJK*PsbY3lL$lZ)2X+i{cX#3 zTRwzp22_gv$i{yeK6V`dH-q)F{NB+~K2D;K;~0VS<4l)kX@*%@h!IDxmQLg-3eS!oMNu3#b*SH?;`$@tCbd_8A4s1(C8K=&FFAe9k}NF zL0y*0nAi2AfQ5Gy7zg2lkUG*zRCE*ju^N|x-qb@ujnCVKY@E|?LId-5@$d1ue2zkq z@_-73O3P2dLDQxPUMm8P>qgHD1|sP`@I@*})s2VNAG(W<<;0iVj=6+T+e z0K!F;bawBo25w&icQ`xUKEbmXXEktK4Se-ie|7SvH@)e&$8ldK|HB{t@WMDOiOFYf zV%i2Vlw~yATxD`FK&6Q)lN-YmvL%k8B?SQ?F{CL??T>pQj%G;L7jMSx=`mY(eByZ; zBOb?}`R695zrm0MgD`V5QJ`=_cEx6pIWrG#?oZQm#fvYb5~x7}LI9CkY=otBkek({ zCpAPk+#rWgf`}Fv90HVe0UC-Sxd^G}ZW^S?h>SGx%U6OZL7)nWJv50R{Khzt&*cv# zf|bY$!jv4#qzLehNiWw#i%t_DXdvMwfJ|tD51#=ra*)T7pZPyBAQE+!vdKqf7L};F z%;t0+e*#^0k#WaH(IAp$@-Ux{*X8|l0S=a0s{p%f-j{aKBzh(pR45~AlZ`SadLWYZ z9iepE_2eK~S^_ktZ}fLpllAM3q?rkg&(SR!?qXN~VbE#@Y@(1_2Fs zqJET!gjIuit!U4HbG0t}*2Sdm7v=Fz?$z3Tq=3iCO(b9Ym@wR{Aw}HYN!Hcki8i~F z)NUWQk2F;Y$$Iya^+zZ`s5GEqO#jR&NDNU{*u`%pky-!-wKdq=3V!5xHo(tg0W%ai zH8t_$=BuIIA^~R?BiMy;&3Au7^qa}(k_sd!5YPv-QL{_Gc)cFd!dpm%)0cP3_!0q` z$_uI^Ql@#&G7M+AxI}%X@82$CZnn2JFf)tK!2k;LH_7;9 zC=`%{u5P1sNWQu-=lRxtQi0*x!*u69V{i{icG=6KT6~-*$u?j;+MR8HZhWTpV0bk| z)ul{zzT=1Ipd4eU?{S9>vDPx0wGD*G_hHNrlHD4cDq+g_C@CP|?$}kb*m+C|eOtzPq7maE zo4XEc!#umepd`OQp_+tlPPloK_PWEkvu83-O3pg|N|XNS^WA0IlX+tmpP`P!bGz+i zlkppY_>+^^I8f49DRwtH>)md9*Ff+D0yLv+dB8m|YQ_}vT7w=*o!z#Ax{RfLey%S~j)H<#sy`dH z&lsf6%N$2&M-Ld2_Fcg>g$X+BOJ>@~-gEymhE`hDM~lThfg!VHQ}~Tj4rSI%*G@J@ zT>JP2CwY<*6y2>=RShEyRiPWDmZAj?sja&$^p-P3nayop>V{KQWL5bIi^M(1e(!h7WhXY=VM zcLTnrH+Y(vpGg(7?mE#HtSJbLF@fuM&p|bWPSlWlY$JQ0wO$7cDWJn-G85*9=KL@> z>d||qDir8;zCS0fbX{`f1~(cLj}Sv}h3R)ut1pZZCIc)gk?#UPk@-rs2+0KtMhj`Y zY7fg3m?vH8ErmsxJhVawkV7jH0tACTe*OY1&_5wsi|~eh($2xlgxW=cg{5%F`^^+} zda6Lz;pRN0q0Tb?a~f&pMDvtt4aO!o_q8N*Qplc$kMY7~%84i%f@%@u1=E?RH(5z-h_9Omf2qcT$~9jET)H>OYzXn! z!DmFjh_6b@bWl2vwWDQtCi*J^Y$XKx>g&Cv$=K9fi% zWOBD5$9}|E2GBsi!6t5ce#>7>`t}v-1kj^D7)xMk$efeX)wjIB4e~4aGqes6wx&O+ zk>^aHrl4cWV2@DPvS5 zY2L_b3^uO$hUo|d2F+`_{M0}!PzPn|ldO;~qmi@)KF#llzM;>-9Q9tJz72w(@|kgN zqLZLW&(yqdS~kH?1@`;o(Rwm!hmV)d3;EJ!jlKZAZ(a-ngz`Zp@}+=#@ZDt0`Uzfz zI7YQzvVALkLt1yp%LedWCI1SGOp+wS_8bCnrXNc0Jn+9(zXIsdzGSG2;JLskaCZoU zo}1x!=QA@R->KlbX0w@ZnA7siSw-e5UB$$F%eam4y)r7o#RsnCdEziPP4V=}$9o4|yuda9WnX|}eHIO9V_HEx5zmw|X zV;}oi@+W`tCkvzezZ?IV+{95>4KsR5S*aCMn3yAxc+&)*$eR3@=0yeSBr3FFuC`tL zrsiaLw(u+I%_(s)7iaz*<7IJW`1pL>NC88?;lK2rOR@xE`i4YHx=5#KrXZo`l5%-> zygVoWE{Kw2-WOohd}vASHp&#*gQVJrK`dcn(D&TlmYkL-93x#ifH~~&_7WSs6$pxU z4dO|VLP=6Wlz~4=#wp_#T8n5A<&elK^Kp#V1W?${bA-9pG+_^hu2fos-b(XnIx>k( zK}*hqnCDt%YaMfcIT~d^UUJ$=htXI@1Eo}f5XGLV%&ouKP-tTc5sj!~hs7Q8K(v)HeDbu`~LJ+J~eu9JtFvmUexw=mIcUF`0H)=`k3Yvt^t^yKnB~LYw zDdW5Qm@B*t5V*Y4PPUf-X2`LOqvneQCG1a1zja`$?nkJ0F)cwov}&{w0NfTpQwPR! z3Bqr?y_uY^KXgAnb0iHV%t{hT5SAsRZ#(#^NF^KTse72Fa6?Nli3U?hb)OShI7|~E zk*gDHC0mC`nZga`YxEVGT9bjn9MXNFD|3+WyD#QOr3NAH1q55&n@IM~+m?%tZ&@d-vc*(qkX3 zi_gJPL$jjiN$;@T)gTPbLDF3W5El2glfl*o8grQMIoO5C!H);yXRon}MkXeo=$C5f z4sbHoM}iw@nmohwASpYkOda7cpGPI6PXWja3ImYOb{$hb z7r8gn*L_zhvmf9VRao-#O> zIRBCx{xD}nsZaUxeTrrsJCEu&P=AaS&Xv5D>A#mSoV;IPA0!ndp$1j)juM}cvM8mR zgMfeOk+@|SB(7bQTx3}%#`r|)>${e=838B?sIkWs{st*hXv)dpS-3NWFXQu&M|?ml;*`w>bZI2)GVDg#5a7; zG!_JbFQ+Z*LNh!xcL0Whgv}SQ*!op7FOdgB7B2fzn0%1uo|Esl^yNCeTL_> z^1VkRPp^+{m`QrXjP~|Y8ciC}5Rd&6CvhwNGk$#{`AvN-;%}O{oUVP2o8S!^Pf-rEee8Bi-Pxm z?bm+oh_;;Zo_Xe(2MQ3@@tc)}Sr-4=b|UirbdUy;3mrwbdFkFfNpts zg*>#j18Sr%Joz3L8mKCMfQT$sf`e?MPm^@4Is6PW!!WL69LCvUocZ`pPQedygbRw; z0*Bre_;a2UJQM&#$Aq&MYfTA?8=xTcUW~~<)-r?qT(j6pRs;$GP}TvjR-wBgfRkPY z(2#yuC|5~Y|IzySyMb`gF7J`P3txd9R(a*yXrjfpD2#NJLR)YEp#h_S*l|H^AV`#; z;WW8;J5nX9*GP|x9C<6UD?IEYVAs3OyuTKtg*8#EJVG>RN(3COvvva$lz@c21>oO0 zH0BL>8ck+;JPsiAyIqKa7JNnP84$SA3;PHwbar9?{jT`&`)C? zULgngh_oUTK66Z77XnDf02Ypm=V?oU!fYWqn*J_Y*&Q~WgTG0B`NYbPnHS#Z5w@RCzU(gqh*2vvixcPexenuiPjN3D$&LvM7@(IR+Hqk-8z{&+1gsJGYEowcHzdjQ6C7;- zg@T3N%leD0Do;C4pO(p#@tjA7(B1lj?*T%V1$g+cl@NhK_bt>kbdEEh(}Xf&+H%O- zSuP?t$8<3rt3Sao2}(OQ8INt_6R$=(`p|0&Hc?(p9>;(;%fy-b`r|qSJ5zyAgkN}H zeq2pTdC6toSIAVKpU#YBj%G0n0?<)@??M2^wuS9$!z6L(t5EE@^vNhH)hUIRzpAY68>FGhF+%MWwoH25$CTK?bov`lOTVb zXAZR8G{M?~SJ(ZE$yjG)_Z;{Q6l!4arbv6a_vUvsx@yq>Vx6|D!=njWMxYP4*Y#oq zfkBrdKUZEXXFbh^vISJvH29v?A)h2aC$7)d#ln!IoC&^6N0?bo@V7i>9?Y@#br#NQ z;H(DjtOjO=;GMmA7W=FQUd$SJcK831Pi=lGSs&~nDW&<221JJJR2tmtbgxp)JqdOF z@)aN+u)YbgkS>DyUy>Nf-dU9Y+2`4Lc3c$Sw0v$*i(-U&qWPG9gavwp6la9sAcXlO z2wk`hX>PoB^^~xdaAJQuLcGfB5`Ny}ndv{Q1raRCqN8=Q(ts$e0P-v~(eB}eGK_e;f`6(eOgun_nk;bhk%J)s zVY`O(8hN!Kr54~LfJwev1C)VzMuJa*N~z@@AWI1&h67BzluPI0ecuv{P-1EiMq&#_ z<{Uz%n_KJ2xver%rT7xuE+x2cPj=7a$M68D)k~{M@8*7TVY`{^0}_@d<{rvOc?rZA z2BBRQr+59Q-T@r!09F7@c3{ZbfRn@83c%V;q-I9|a?S8J7ahkLSqB66Aq-`ls4unK ziV%*5kjTRf>qvVKY)I$vfj3$Qh~T?mM`8LSOwoqv8$e>(z5wGmYmP|l%=Xn(pkSdb z=)Ks`^&@u?#!!6&G=n?T_Yk1#0N`?fU5WwfHJW>L3>$!@;O>zk?(X4;8b&>LC?PMy ztQKJfw6b4p10L-qTg@*fb^7R9{VD|VQL5Ap`TgD9q_qQM44N@$Y=_T5&5BL~eK`-| z-LJF3;ux7>MrE3YH(p4Z2bjHq&@bb&vj@1k%Z5!`F*t&dljESv{SrQA`ojj}4CWg~ z!Oejd%ytdtx!A?LQsG)sX)Q4h@Rh^6VlcLv((&+q_~B#|<9a=5G#L{x5c)Z7z-_oW z(MDK84Y(#70DU$)#!MX1i`=ZBJON5FXO@wiC@_|4m>;Upt{p)4QhyawM7d;tt()ww zAx+Kr*SwEYho9ciJ=kUZXlm5+)$LaD#d9^xv;eM>zV%e4<5k%(P`XwP#&twV3u@Ib)!!hOcQ+gFvClYHpOYG%Gq@W({*KLWMBq1HPwk2?0abBR5}gXB%J`MUCs| z0Fxw_j9UYu^}w5;a8lW~9R-8BB|8e*NxggGGrh%)6#>$AL2V zSwrMuQ8N-pvpX`-vDd@Ypbx^`WE$X-6(`& znFCCvk3?PYEZW3=V*A*)Z_~C+;c0g>zSS0gX6kSDdXjED&F;@1XI_o|>hmnl+%uCi z&NNx$Wf$>q^1^HyljoM3Dbgh<9dnbYFNed%#zr#lV^BYWKlp<`xG?*F{nvlJ@V=%o zHG#P(l-Z0`6LHp@rt$ptgAAHT&4PaZ-1rSzJiB?!aTmHH3-=Qs{PREm^W^t`|M!^( z(@rRW`J2D_o5^cl^P22)_x^q0&X?hv( z=#}y1j^qKoKZ3sY`+2km9oTSw01w23jtzLu$uA~C^V){C>?Y^oE0CtpsC?iG0Mdvy?)ULI-$#%S-nEV9-!og+k~-i`8NNuquZDS< z7Cf$D3))h8vnwS^L{tfL!z}XmW+|s@(h9Mm;nkcStLTyN~DEyZDg?h{K&oVGq8$L$8GYsz5_& z|D%A}+7^6Sp8U!V_H#|N00A-STkf;Si@5(GjinnGWqHF=6MTLb6S{rcVT=jf5xnj8 z3Ow&R8~9Z;Sp!YxBg8Ml-xL4|%Y3W949^VTKDy9L)_AvriPR#RgKf&CAHr*F{;vZ9 z7~F4oC^SEBv-r=~lYpQEo|=RQtz@vzc*L?s1o9*QBY3AjI{}?MbS@4P0BHbXWSE^( z;5TN2kelug6l@jXc3gMS1}?#0suf4|6QUDDkC1CJ*F)w3|M_*hi=d5jL|kyNeyvkM zTI)*rar>U{Qe9{a0upgQ9>WOr_$hu6{JZJ!KgJ&?p2{rs;RV&w1BFFcl|2c@Rv&O_ z$apZ_8hH?ag8_^Fqv_gx>T3;x*iy?Us^J-$q{Qpf7cxyn1qDiEW{Egs>e=!rcO1x?bunMT#V`%@ijo>XX(#N%vbWtj!)ai`bmFjy_%tA_ZV>b;{IO` z=E`DOoDuctJ7eA-ke=3ioLaIVUu<2Jd9O=-I6n%!uF-b-uk`+d4(<;{9?i4Aqr>L5 zpErvFf;Mx|!c2k30fdnl^IO7v5oSjB@ke+D5Z<vj>h|7b_)Tl4I5NiH20_TETDKMB4f2Nb(krgln^8{gOJXS(k zNBu<^T<;+jAOax9kpLU$H;~agfS6MW%wT#dQ5w_qBn&L+5XPxh?k0^M4#BbUUqQ=H zQ8hR3*Ic~b4UxT^QUVf_ag}r(1t3B8Q5w%>k7Jz02DPPhnwqSx;)1b^*2O26EfO; z65N2a(Bj052%i+>ktj8^FlkeTDRo0d1{R&HxS#z2lcG(iA2ziG0>a-|+Lf{>r#jlt zJ4krt4p+gw2!nhII6A2N<* zY7F#10QA%x%m}8rJ*s0`6bbfx4?vI&jV5#2=seoK)udCGxm3D69ZR%gvc|Z0;>Hpt zNlO5Qv}gFEsf7>10w!#7aP30?8$~8YNF4V|f}yl3%;^v_MuIm((A*)?$2l1GJmyBr zNbOcIS*pN*rc4TG>gF&z^vpWBrcVmE%aE-w$7r_6sU?+e#0(7MQYlfj4E0mvPay-r zL_sd!OMQDolqm_(;-cPH=PYuwPFWL$MApBjV)HQ#6Wy}SBEI;!mv zGTjmK5u9c_Tg>S%075D{eE?_4;ams<>fSKzTDza zU-k{#%_fVf+B#Ib(m~+4KSFF2aGc(^y=kAhDJJ61{;>}28zvL|!-v-Cd{}gEKF;j* zeEgZ~7$1Bvj=U4!o_%-be43|8B+Kde@G^c@%*!Y|{q)nfgfkI1VW&0CdJU+T)_R)y7)`l;SO1X^2+6}qW9xI!wCBU`U>oys zU4fki!5m8mZmTT^@Aty)^U(G176=NON!wiEyyu&UiQ?pU0PS9f;HXNkN;5PuzmG4+ z68uho@B+ML3z`&K8#5z2v{M;vzJ9KTANd^oG$1ETkY-X9Mp8)cRJ-0YRcKpBAa4Qs z*&jmynD&E6(tS#5vc-Pjra%2zEkZ%=0s^%3W6b2>KHv)7Lwf&ckoMiGBCL3!m|T7S zxn$G2!FOYs&GQTJ+?OCOmKDl$qX63O0D!K7>DoREaH)$I_2FvpG68roYy@<3S_oqA zp;d-&rOw91EkF&P9#{>X1GeF(;j*YMuzz zt$e+L@S4=0((=3`ztCdR0gX}k(V55OVD*sggSTW3=tFRJ=okGu{Pe8K z7V#YKcoqpa2TkI*x1%}Z0(GqhyqblAb6xmawfbDo)i6}Jz%o?Y+O49w;GNxr)3Q#1 z%B=uGc33N?LIsp3EkEzM|6qj^jsx@jrvB>P<1&=t`$|~HvWnW|rB8Zgh$gwF9{ppL zxY^c(^_#xsn=gK_eEJI14D)qc)R3)r)LmcdubuLf;Lm_{U3$sT2^K z5JY~R$y$6%cS)+*3qVLPrM~)%=dycyBEeX*gv9Li?0v~RuO*12-h#OEU2gi0ET8LH z_P$5WfJ!hG%?pdZQcuQ^w{zu_QT2bAMkQ|CRU?LIMZ`Mgr$%hxOAPeFv0_Atcho2} zHIvF1I$?^A3wEruY@$O9RPg1-T}-tcNjo zv#+_t0p@#H3A;$}j*FO61ci{-5FA|H!vqdmKg#Bg0RHp})d7%{0qBEz7HCJwZ8bkj zi073dy8BR;nmMd*kmd+rr;Di>K%ioK8DD*xW5g#J+9CNm=lC)dtkgfElAN;v{sWVS z7o&X~Q2&SXLX=o{P?AK?Y^I|O_w3YO5Z1TSr$ zy9xR+tfMt(OSBr8RzVxH3ux0DTt=IaHlUN{6idXc-){rNgdzo`=Q)H1CM9Le3Ldxi7AO{fg)qW8qc+Js-)7@upN<7%+2Prc&5LE~W>Jsv zo&c6(UM5EH5O_0b;#*Vhs0iR$902cO&ZyMC0+_r-y)Zb)^CdoWWqSq9K{V;mI4xp| zYQL`WisZ&GYmV81@oe zLoiR&Z5Es-gK_4@aZF|wcm9~>jSutv^fw>l!Co^f@B#V;^Si^&HYmvSDzSVoA**!3 zS}Vsf>>T9rxWJ}Rj5o$eaPWeJh6-t9G;Ufdx;;Pe;)0wxp3vmmAO0Vr5bqu_>cd% z@Y(BL_qv7mvzsN>s`+4g4>COb@WW^zK}SMU8=iaax!VGS`bKQwM<@$l_jO;Fo!-?^ zVDg>sd}s3afB*N>_XP!i`?r5Pxf}4Y!v?S#j+ZZAo~C!w$qO&MFnzoTq@6yz&nF|m zu>t<-M$Y@)8}NA@cp^Xo0KnxISp z&Jou)>$&8spbdI3w&CL|0VGA>tlvdj7ErVT4PR112l`n7OUR!Tt$=uS% zLTp=v2A(t`_q)#_FuI3jlk>^Wg&J*(Z^28Krk|KUv7PH^knXg*)Ngkm;Z2@jPgF6Z=kpKu@ zfSB0DPy2;7Ry?q{0qIQ1Y!?>n*#&1lW4F7e-p1kX1E>vN70Mmn9ZezY%l2|-Jj{&p zLF>)?0N?=%7S2(Qr{KQ<=}Sk)Yezr|z#+#^O}GDd@iMeLJb0s(?BrX?IV{JNo6wfc zousi*N!Ggf0fg49(wEfs>Xoj;@4zS0mj;+((vphWf-47DLxJ}gA>5clkhE9XMl%U| z9U5JBE!-i{xr+k;S9q1t=wbS58EYxd6SlvMEp4qZCS!7hC7>MRwotstf`19^LGrbS zRTZ=t?Hc(d^30w=cWF5}$Gq9abw(B5s|x722Tw5se7-73$oN;2P;IHxhB2m2`)Ci2 z87reEc|k}tPdTDFXzu}aXnz>Ns|#Z}tXxwD@b?4k^>;-E2x<&!(%3%MhkzMa=d_ia zjC)Rf(yAcvsvki?#Vj~t^dXlLs@Yx2EFlol1pMS1;mxU2(-=r!2i+ZS6VIbn#XAIt z)kpzDa_syOz%AcbFn+-J(geTB4;Tl6gFV(Sib?6%gJ3*n`$nc!LeSbhodWf%3DS*F zEAC-B)IJE`3(u*rxpnS*5jkQ0@|#8ai>5F~YB!sfqlNY=3gnU(O=$YfHrkaHnp#F6 z&z?ZRwUqbewWr)P1I8GVQ@T8<;QEjPzA}k*allszAQwQPA5+ zY4*97*p^A;U9^HyLfMzD2soO?mtH^Zl*y1vkR5`bPR>_IZ{{wl1VB zlJCpp9R|a+l8198#}w`i8j>S44+M`k<$VTY!>0bg&2R{c zu0Yak@O`esyb$kAiK~c%`9aLn6!2L=ic-0Ng!;dL$VIcwa=2L>z@RbwHlOj^LD+B( z$?ls$be8b(CP*ji4NRpP2q|GhSYiW!O2$FDb^$ySg zqc1_!R@iJAwUEY@;>iN_8$R1K=hugz1ppdRwi&CnS% zv)Ctu$OjnCF~&P+ISLHU1}Zp5hZ@725AlzoUS9DcgdariY|!UH6%fpylAKNYW()H| zf{{zr3yhCZa&!9z5?__1i|NEM+O@SBLI<;naGs+N$`tpOR_M!^S1DDK>+No`v~>ff znvEDV2P-f)!<97{sN;+<9Zgh*#W`yW0zITIdF-6AU%<==Wgf$vR{)XQYO?a|+`%xp zvJ3OhrdiVGSh7Wlp7QH0dhq0*3Xu;5R1q{1wObg?ihJKza!0?CkF$^$F zQ%=7o1i#xWVT!fLn8FX@68)sY=EDK~uyKt(`8ahVrBuMB_U{Hp`xlJa~G&M`5 zcA=X}T!xhI22#2;m|L|d^?{JqH9iKZhX55xBj&=HMv(b)96MIWX!kCo)dp!(`;;JedgrYExzPCB=|)~G|z!DlPHxPhr1e?w`#>u*t$$M+|YFz9KR zF!PjgYyUYm=y%Yc!)vlPbp#yr#aIxiF|r%!lA_w;G+8ipf`4>{G;nm^P@I2K#R2Tt z?lO;7w>-4J>2u@G6yGit&paB)UL0JfnCrXAIUX~|p>4sfcpgzEd5FCfZn*Zyq=b!0x2i?BWf#9UteMIfIB<3xR>mtRqTl|f<3PWu4m z)e4#ZVWWMld+XAvpSJLxm-aQA*S?kY2kSH5ncSN88?Nnd@dAfPz@v5R{RbG#ljFos zO`0Zj#+Ge%-M1gkj)$4(FWJ-OvfByTw|9c{UHXoFl|BmnY zj``b1uK(}<{_n`O7f(F##4Y#k=MDY)3C8{J|Nd_z`^is!GWmvY_=Xcd@jw6bKhx*y z>+6Z;R_`{rS*;1tS#a=Mzx7*_cf8{r$*h0G)1?2=kA5_H*Sp>Yc#^KCANtUTZVPsr z?iauK#cA@7J@(l2{DGb@Nent)Vr}WLuY8>`-NZ6PjXi4ww*nk=J%H9?5ardnVi9vw zIUkdRD|y3%~HXj2yg1K}gj zm#hmn_jBi|5%xdsoUrIs-ORF4U`FWt)8e|h^dR%)Qzp-b}}-C-b% zI+8!oE8$j{UCcv|m)eivcklDbX60 z24ICYAAP7>M!*!N@1Sv$F=gh7gK%Ptbn^)K7W?O@*QKOabAP~ffSlUz>8oSF>;XT4 z!knNaJMQ|REL5(-(_cnYjl7^$SU{k51V|`A)n${vMxE!d?4sG((aLH7zAw;rR{*hI zKqKm^eij$-Emqll=wiu7rd6;^`mu;>iUhvNps=i)GClb77>4xE5j;{J;o&jQ`j{gf z!n+Dk3JxmJDNiRDWuHvzgE3U5pHp$pKMIHn>|0MkfO^+~VVS%)2_e`R1Pov-{Zm$W z4DF6S>tsA<^Mz?S&pDnPOQyq*?+d5p0+jb__9@05_qDK6k`J7ycy*i~=qJ+6mLb4C z2Q&Sr*lm(u#y>vpo2akl`dHivK~mzu%jMuX%e0GGpCQwe8hao^zR?BP9w4+@z-mqo zVb}s%&N=oRiu92od|RJ5epl;2?%8P>DgbTjW2E#y*&wHsF|C~*^=>W6L%9D?qV24K z_(R#9P6WC%!K`+vT62!kFn&V%_F+@|vIO>D6sBm>;0Me}&YuduI#%61SfZZP>|34@ zcFpqXK7@sIFK!6HIv;|MAuWSIq5Bo{LCZdTBFvdOFQ{$1!#izxaMpZ%xXO!bG3XIA z@U$p(Tu_Lwb)9A>TP`PpW%7E_IJ_nu9|GjuLrFQQA=e>TXgsZ>sMK9qC;suDh)=Uc z6tX3PY+~`*7SzND)N$F1`#I);QKmhJ?^p<;6XV~>!-MCTA6PzVjwp}$l%KR8x&&zb z#cc_?dZP80rAN7co3h@?_s`;<)xe8U0}SJ{a8?5^?HcH?GW3T`@R+j9p*b@`i$=Ta z2nRv{xhS&aPZmc@B0(V2lFrsl)NURUP17wB2a`99Iwcmocl3T5GyQwWJbFDJe9w@@ zN(q|uUVwt+&CPDJDAO8XCXd6^sh|gMN;5_}63(Z1^eI*pNV z6C8AVcRrX#q%;4>ohIsQuR6jL8EKR5kX5|Sv5rPg4R`D5FZ!7Vqv=c;HwU|7!f+-!PT}hm;l51*ZHh-KC z2P@%6t=<{o;{nMwzR}2G21bA|+L9Xss05gfQfV1YL?qj`AOJ2B^H!eGEC$oM4tRJ_ zL`v%b-)bxPKLC7NT~4Px%~S}se*W@O^5{W7G_(RJL$a!d-?L&n44MScrq#rSf;}+&qa&64D0A`esKDC7gHO%N>{-%w;4NZ*V z%#q>&cv&%S%B!`r$1z0f_{a_Ne3>24_^_orWgyQXSw{3YVpej9rrH24!hE%zl=g63 z-=PihiRfm@c(9o?A>xxB8iZ^{l$HFY?-XGum3$k~?isxylR7&GNLYhPT@W;7yMjbs$_i3g%S*? zgti3v4jO(hKtz|&80;M&aSK4W0!2Jn2KYtl^fbYKqxRqq#J*qC{D=3#EDj)Nj?Ij6 zpN$6006SN$u#55dw%UQ?OA1X05-(h5`WPGQi@w7D5AnhW%@354p!RG}kB>P+^oI$`SpMx^Rs8x+z#mFSB5IHPIA4L8v5!4)jB) z#`s-_s0ZeABu&OHo@~117)K`pgiiJ{eb%K%JMHW+F-_xe&(pCQsr+-Vg1r_Oy8vy- zdN5BmPfRC1a?Z|*!*iS4c%f)OS2x67u1CM`FFrCkpS&C0gj+>7(M*G0H(-UM6Qm4T z_6^?k_4s3cJkQeQ=-O=lvh;i$!TX+=PQ1i{0OCL$zcR}No;pMVC&v!v((m(=xt@F~ zzSCj9PK`{auVBa{&YgV!nr0<_9mk=kduWpPapXAm`>S z0|-C<@sB4z{^LJ>;&(pwv5!rkf8#fPruD`h8G^r!BE796Y&^}8F9@(kAW#N+!qt2i?;mF{9q~=`M4};*L za}mh{#yLrmAFRm)v7p+A=0%+FT)gu5e*|T*IMRTcQrEY3J|?-tG=r9KvLlb@6fyFRGljF`eECAMT0bB3 z@w0$OBf%@ci^n#vBqfASa|iOP@Du==BkHrC!(=A3L;+2{a{FO4)h;9lwT+~P|H^jx zG5EPJCEJZra*+-06)alpSE);cVpE_H&S*RV=YU2eDX`uz<3T`-X$14&XyB*=Yc9b)QN0IRF1v z*OFTKq2%FbA4`hx8dsVKDwdza&*e=36?j1b$XIagf4DQi=s%Gz;+Ra#YF^2%z!?r8QEo2-tt(&VHbe@L*C&DG@Dw`v@JhPmyRgYSYVU>V*ki_ zzwAy z(QH${KU7l}eY*zV2kjVRp5D5Zp9#Nupc)0sOJ6Kwa#mI}htS>tGy9`9pkc**0!C(x z2k2|YnOb^k!xlL*go5|(@;tPA(V`3MEoqUcWBMv1KDE%3^&9VLmQYxCbmu(+s={-o9Ml} z>o{Vbsl%I(SXbK!N*|Dp7H@J8=%WC5rS;uMf(K^qa4e?*5Q?@hz_W(nIb&%bt=lrZ z=!o>#is9RsG{x15`wav5LZ_ZKh0rjGLIGj1${dS6O@d`i>sPI2b|CnkLI&n<#5-D@ zvEE^D;*FSJSO)|Yd*r>uQ8Dr^#{$}@N3@+M-*}J*wH?O*aq_0ln>*~c*}v-WvUS=v zG#+V5wVUOq6(pVwT7gm%&c@c~;H`o9q-$`NPtR_RmEEx}1cEhpy2IYn7HJ>w4c&^k z8t$W=uQu*w%$3etnE?||*hUFJQ0=*pH{tU!&AaqC$Fmd&=&|LMD39KHfg{#HjE`SZx2_7Ys`&;tfoJ&}2@HuBrs|{vL*O>3cfwIJcU^jC$uLXr zwTo(Y^qwKRmtM_3J$&wx91f(3C~qQ&V(c(!O6DZ&B+gvvA|Av{m_21PeZ;e{qUbxU zHbn@%fJF(ETZ%X)L;Hzh#)lEfOnNVAdDP;pp7lh4V- zG`avPRhS4tvJEr`L+S}C!nILT94WA5DrqR7y;MLmFb6Zx#kX1!(??m_m5?d3-WJyf*OzXY~p83H+5Y0eWm8y#a001`Ji}P!ktJt`G2k*aJAN?XFTj zK(Ho&Cd6{L4&`HhCG<&D&}wxP^plYdhIP%W{aRCaJwXjD+Ss_o?S4`q9XII;MI^ivrL`AD;9r zIrZEKCQc%Z{xt4k0tU?_wf9PMK%oSG6EjFd`hfmKhm^b2U&k~iXu?p|1V#m|#@rG> z)_i-~dFYp#BndHA@-zbA8+T#MHu2wgkxdmOs*ei-g=>w60SEVz&Al%rLpD_Mn653r z?Bvl5oDX?+sS7YPeN2bKHz&^lxQ$@8bK9FRuDxU(#>i*AQ-Xt5eV8_)o@7$OS0^8> zD}6~_3e4y94+?`Lwo-;8yt1X~U9|{hlwc_IdqP~nqe&NLET!YrO&5}gjiWjMVVS(E zNm%QlNk|*3i92KiXAD;yAU9phD%A{$=1qbhX}}f&9M>?%kw>F*4CA=8!6wKh*@=^b z{a7D@nIA!!IT;|OBr75DK)$(G1>}->lMykxJrFBsb#hC>*@Tku&mA(R;cxoO0FD66KFIrPurPPc(BTh zEu$n8$21b{OIL_vG?z(oO_Mp51gJw(bCUkz8Rzy3Z<$t12OcAFZq9`Qo2jns`U4v1 zFV%PX89hRFp55@fCT>1_M%uB*!uc%oX_N@QmtF8q44(AK$$x!k^3BO%VSK-B9t?ip zJjr+~IcwdiMTcBWFxJVV#7&1!`odSzU&xeq_+RX#&Ce9fq zKJqo|G6M0UFHJ7vVRk-$%-VMT{=HmhZEwc?W#2H9UUJV{kbr6Cy-A3T2A;W@;4k*c zC|vZ9EX_3P%i`}MQ)vunGK{K6y`lo+7y`DY!;UE6t*~?qb1?^*7TeB>k3XK#Mt2U-1;L?PgPYIqdCz;8 zN7Ih|HDB{JiD2o24nwq9Mni-IF&{r1V1g1lMbqgcv|I}8AdaAM!sizG()V7BF;)d> z0y!r)lBJf?q2%C8!MfRer_T=W%wEseZuV^Uc=+b**>r|FG96?w()SPJ!~*5Q7rTlG z^gu7`_inudZG|(eL1V;?XZkh53P6)QdSKvC~f%Q!o+If^U=o%+U ztcc*lfZ{{M7*E08dhGKa$kiPf~a6_L8qAAY!3(GkD5X0LE4sz6s4vM0TN< zd5?Nl>rP*Gf`xY)Y@OIA;Kd{3*tATaey+dGv0yCLR)R2swhsUiZNd>6q5b~TU_}p6 z-g@%n-ZONc79b6EP}zki!-w~%fr-(Jl(mwaZ^GZOcCG{dZC859_R2QGnoal+fC}j8 zB9<5eD5jAG;V$Vm1e#n^nLC&nO|W*-sa~f)on~5H;`B+WA0pr)W?uXPtT>MTN7)$U6>^7una8qsRQ~(0np83wWY7a`V=Gixs ze^#J5&s@?+SQHKoz;T;#F0Y|ry@H&iL;mvAVHcXe%l=0bv&I89eN0bb0MjBm-QE3x zH0QqO9933;pLt7r9xdvn%e4lTotiq_$B-5ICGQe?%vqY~RRdC?mI7tCdTPh1gN9!lX!{ASZGEE{aEX{yMFbNiSJOCE zpbQ3q+1$j6)~Vh*A(B4f)reGkQcXxT8r6ghzINt4%OyxCAnNv3<00hzpJrR{t7amd zou1XeOS}dcdS~IR2431VP+;N86&`^waTQ_WW!~?wP}Esb+?&j^kVzx36hJURV)H|m zihnGW+=rx#Yk?`{Em?Yl(8)^etNvVGT{c|`C55tk-uFDc8z+BfR}z}F%xny?7-GLwwuKr{lH49(LTfcZ!o0xSk{iT}1Mn5!1i*uV z(ENu!(Jo<*2pf!;*eoYCzFn)q8lr`E^J0T~5V&G1f%t9AuNow^mBdvtGHqGvf_fKh z8D@kg54vpXw`-VczzmQ+E*e|Qyn`tWOxakrZXK>93osG3auB_=ivS8ud>F#l7lqy> zVN9da80492Bv?-yf<=%ZHAsQcr2cvsh99Y2i6i;yK2oeHDOA} zFiJ&DiO?6SFi3fb`7u&&(f_DR``-vD(IL{NeTd+K{Q_!ngx|j+T7mT<=5J^_!NCK; zK`6g2n>rGomC-rs*~|bQx$#h?&n_vkW+smbK2p0-ukCJH?BTm&wVez$00}Selh2du zrphjR3ICS%$074d5pJ!8IU?((Y@e8fA{v5zY7e9LH!)+f&qZVN2AdYc*J%+;{7fBXErdi+DOL%QBD;Ex{GQt*lh_*q`!%OPtBJI1ZoDzJj;|Sx!B>J z5{oB=F2H?lug#_nbxC@~6|{6Gl)2`o^KPIJ9Fqp8VCSkk3yyDVf|nZ14^BL2Q}KBai7%qN{b_#M+}NvleX=w1JP^GU1YMLM2k$E z6eOgx0h$m@jZXX1)dovh9Vz~ZxPoa;a)@x4WCc)V3)EgBA*;j9W2Zwel`uyziS>$ zmuV*IGMHt*OR)ajuk>Ag@wr#5GQ9&ztJ9(LQSig`mqk&Y?$p=)&WXR#I>A1cwW+B@Y=F|`U&<|yow;VMs z`s=^`>$lt&*t!?Zg7x+1g@~IAzcT z={)%Nqd)qiVY1XD)bf1yyWgF>{q1kRCEfw1yYzAR=}&)p`n8|=nV(@!o$ch)NB8w) zi1ynEnsk8RsGGq0AQT|Xu}FkwjbCG+j07B*1l&N6g~~<5u|yUH2~*#L4zM)vD28Zu z^seUyOErJKsH9n(cxmCEl&{Oa;W2wB<>nNP$|fu)H}l6Py0kc;kQ!WN=%p=$B?YIh zS9g+gIKwLdR;**nu?s-j(M%#5ATF{gE#rg%#XhME{V%3m4D}MesacF&;3jPs^%6h> z^R5$eEWWya;2Q0ssAoW%q3#7pIS-(ePuK}Xun>Ygtt-H*0L*xv1(T9r$gD%mZh&WT zJg&5`a-%DR@nx=Rl=Bj9C7^csm=-V!YCR%2TGP!1z)QP=fNJxRq<8_>6X&f>N-ekn zF(C`phHu$ogSZVHQ`%ilRoir8n}-J9w0zT9>!fP`;Z5P^yFK^vJQDxOVquRl z0q_ZMkg|j?zL{zpK~QQFNp?t=9a>_lLO-|YV_M{~s>s5T;OkZPT--D2LjS{J!z06o z%ZvMl8$l7$_fwOiYB#c{z(8}(bEnI?ji!jW?t8&=@=E(qVLkHQKrEO-iGTHZa~VHP zr^-B#bNY=h(LWIi&atnM2P6!0napvnm+k>EVkt-JqcE!G0sL{6)qH4ZOw*6;n(kxe z&~B~JU-~lxT(=uq5mkuTd2x@)R+FC*Y){9kKTEy= z8~ACx$^5C+pG$y;pV>c1o&Z49H(`fqQaTh5KS76TKGSAe6r|bluoD2G0*-m(veeWs zMYDy5px1W(7>{;Tn$GkD9D^U?mfu5eIlwsMJDll)0W2>1Zgwx1)gOIwOnL4#$bYmq z7>`W5f`fRgNi_r)Bgclo=%>5WfCMe zB&v9Q@=MRtzms(#P9}d$-#nOzq@CZ_e5YnaWt{jQ z!Pf;br5!XSVQOkjN+e2LM=rTJAr&A#Ai}wpF88VL_KENL3=q@04xA-pd+yB7_0>Cy5Wd(7{CHVcL}=>J#0oedcpxZ1<<5Z4#~F>eP=Mn z>GRP!69N|RmN@yvp)e2YJ8si70m@B9a`vcA8>MvPrW`SR z;&QcxR4fvaCBXI`z;b9#5>uaokpSt$80SU7)@(L&e1Z8h*QpsSXoiHKjGX=3O(t1> zHZF>6G8E{O3Jb)yBNzPP-2wfpKL9*$0lWgBE?vi3#*gMG_~$b-|!XV9gqzHl+1PT~Z;=%QARh zj$nJp?{;9$M`%+I017K^$T0sn#_lF4y=qWfy^jcQu1cqOZfS8-Q^rgD&@4X^oHK)A z=b7U!`?L%=T8MFN8twszaC7R475hQH;sQyK!Ex|9QSmT&CevlW-FCE9zid%om6ou?J=Q z^W6TzRGJ3cigWAAI0mM-wC#8=+A;3V{mDL(9p@h3)8%ZMw!2~WUUqGHCL!`~S%_zU z$@*aQN6W>1?*%}ZrJ23_GB|3gavmW3;0Hg5P*FemzVG|KMBjt&d*AyOmPBp5ML?fg z7^WdGwznr;aWs6-_k7RM8xQd6t#5s6@-P4LFX2B?AAW*ruYdjPlh?fFHA#g{w*UOk z{|r;0`}hMhXfE{^fAJTO&5_{XM?d<}W1s)s-~Cld4Kk~&yI_G_?~Y_p&iCOe3qU;$#9ZQ4CKxH!%wOCID$4^#~~P;1X^!^ zUVwue4Xi}~q@@M`my(NE1=vK}u2W|q!%LK*k@N-+!-ri+#`RtJ&8Oh=KgYMULU9$|6dJH|6(QHJPI_z9 z&>s9^5r5-L*WlG|qS=M@8Ti9z5rR^Ca9=Z;o3Dnh1{A{qeXITgyz&O=+@L1xLFCBA z7~Vw?&MJ`4ZB=ig{Zz&j=|zMn_tDb40zLl4WCJTRm#OdbSTfn5&T%l$`}lmM??J3l zB;Xi`pHUvLGa=5JkbQud2P8PXtXzKxrKqy=RWL@u; zl1==}59s?(pFam6gBlBE4DB%5Hs5_dS)xo8H1*UH?H6v)HxTaBN)L;yW)UmFC>`cx zr&bQ%a~%MUI{foK09k>$5lAfH6MQH*O>nQmAibFf{0ZJeG!AG+ZC1OST7zm59*zd+ z^&)jOh6mNYARx8Ce;+dxoxLq+qh)^UL@y;<)cu9d0YcM#z+w1Uc$FrAQyCs%pU>n; zyN@NCA@f87-lq)MSp`t8=m?EEkR~-ayj)X}6op~0!KbqGFM)-Sum&>1;t_RGnb5yI zH$xatnnx`l^eI4=8#ky;32ErGx%yJeO}~1MwH5&LGQz^{z6%q>0S6-dIf*B2UW6x#y(r?Vofz7u zq%L}+m}m*j(;VhN_R1wR-U`VL>NNmF2ov)9EZH8>D1uk^v_6J!MaAfAE1#s zj*2E#1ckfoW7MdoK6R&Xc@O^9zCNOVxEI!APOboGJ4;cqQ6B#cGTw!6St~px_!nZC zJm+EH)sm(mNK3P*^hU;r^nv~}6|S&$3JNwuZ*=H?(LX7VacV)Jo96us^7&nO+~Cp? zMApKMnUKC8Mw`;{lnj%YjWXrJH{d>FN((vipdsL3om+mY!*P2oIB0b(>PW{FDa@79 z8SFQs3`ircnu40=6`zgpD?}tq6#%eFw>#!5>1{Ra zIs$7EC@n}8T;D(PQ0KQ%95e6KJ^ea*`S^OK7efp z0(?B$4ZHRFE9d||2|lFXCn549fa<@H4D*4ED@WlQEP4%rtE_di)UuZ0zC_?H&nNLj zYjM<$ck7^u!$09kW&yM0IqFw8iE+YLohG8038%S;F8_@Iqpm8ea(i*;OH>jO$xR3WF8cD;Qx`}Jm9!oZzB0j5gH(UZS3gh^8kg6 z%^-GZLq~u>Y6f6Ai$#@~CjZnV)O<{p?^OT^Ela~AgudFobS9)~WsVpxltYQoBY|<+ zUE({t0#mj%%=I3Q%va^4?>;Pn5^b_!qrZiHL}CR9?=%RORRPP$B2v%AWS2fHGdQHb z2~-&d3M~+v*9syNeO>4P06+jqL_t)urwq=GVe%!IPR0WD_+VsF;_wg zwd+R4T?93s4f=->WE`)vIkQh%0(|@Q<$dM`+9re#vaTI~A@AAOT@qZ^Twpx66KXTa z#g_TW%|B1Ac{jIWUx3HKv=QI02h->IBuV$VJolMh(RZDCy!JhTp9tRYewNJa7=VJsR95a zUM4kbRPSX&(>FAO0a;({$^5-}~N$NeF)G^YFz4V@GHZYULu25ZeeJ z-svO&T`PUbSaHbcpG)(34s_QB`$HO1a4^R@=m1MOt8|D>BE-~S?Cg!~zQ@^nv*%eH zhr9O=hkbTtuCnvlvn;+7lyR~nrxE0|*kDHsr_sm%Is#)GHNZMJ-mR*@Tn!)Zd&%SY zgS&|q{Y8ZOE;a>Fpz*`x3p|!!SCn7fApjyW=v*W47#4Q`VFX$e>T|kKP2xM*4*5nA zdOP@Q>UfCHJAJGvU{@GEN8LIhIRSGI!M~VzBkzZQ1clr#7f2ui<|{4h(V*tw614AV za4Bg54vzW{CwsN^q`h(t{tphHooUSoN~aA0EC;oRk|EBo8{KnBWsm$PXqsIIJRQEk zzWXj14=yQK7&`o<<;tx!=xPA1J=`c@p0uC;9GD)!SS&E|rQ}fasqiWp*%)9l`EAv1 z!i(bnuDb^N)lZ&Zc`A7X-e;>e#Aml!RGi~XY^-TR_|+Uhh5gI)@^4v-c)Hl4NP!uDSW_9uXdyk(rfQ)m7begKjfO2qc8W=B@yV1#H+L zv1Q8!v1G%V4Ip+1c8LGuN=R(JJ4m}sse-WZ4rA$X@)=@+^BmyLkOL~! zBwLA3LK3Ck2qP}Aq7wj{1Rpbwwo%YCcooK=mTI3L zAZCu{p|j#S^yxh<9>E9h&a68mEPTA@HEI&B00s-r7c%%udC@uGUjwOTt;lqiAPs_N zyklGYe1a*|oNqNAO9Vl+fU<1E^Fl=A@Q7;hxngMXM>p_dg((f^ELT@LO`q>ei8T8r zh&;}zI4jwiBlHQ4qB|B10naJF!I@#`z@LH}A`DF(xH&~jHs#=Np}{!434n0zIu_&C zHyIPmMPn#QrXND?aG!*n-(CrxQ6}(7p1_-W#$?VxbhtWn856j{fY6xmIaBDDZ{Loo z%Xe)t$#1=(7+RbQbOFM`S0do}m@|cf_XLLJ&&v$60ib&x(IU5nrnBGLPVdl#yaM0rw-q9 z1eoBR6skTdU$0Vz7*A%q+N0@U~ryX4Y~la44)(H^f7)u zHQOulzDKbI2{{r-*yhz2ulen`5h$CZ_$|PuPePK9@q{6(u!ti2?vfeXf^&oQ2(IH&LCXp|_$8FXLQlY3q3i&3%o!9kP!70NUIP#|u$$Qc2y9~prHikK z0UC=P{4O*gBnz0B0(7~cZ5tdecgEZYKxsj3H1K~hm{F!TAOyCG2IEP)P%Z&N&9as< z>n{a5BZ4iI>R#P=`3v)#VP4dzQ{GEW`*OT1cX9|pO-L9@4yM*Ue9A3<5cMpOx}Of3 z*^}}ffI9@?*)h_)CrHe4@Z$KCOMw7eAz?a$Ve3HHs>Rf#k4rQQCCb-;p8|5yuDQ~X z{Oh8D*n-%d!&IGNlS1i3B{Q3htzq|o(F5bc0aSyu7D$AmB#M7Y8Ma#lB`X;xnjy{6 zZquab8YW|{uL?{jt`J{r?m4Gk4kb*3z-3{Xky5ohIaFuaIFGXCm?m5ubKrqb#ph@U z7L2)%FjaGJGR7Ap!U$7L-vGQV@JD!?pzi^h5B(>obt`kDmYN|Qlw3ET{aYzILA zO|=NQEEt~yhE9j~R?N3ZgV#*Oxm(xNktE^jx+KUYNH_yr+*5iE=Cp@o=9KwVa`>^t zQOxH3_jAeCuF4$Xj_J=h%3IS8tui zZ6a1fB%;nR(X*bx(5pGgKDY4qrH;Byii``}+Hs)}jebO(KaW`#@N*d|v{Ty5b>)zI zn(0kEJxywd6UWmL%^Q1|;WOjVzNnu^0q9cNF135Ek3+_+V3!P`_3;DG97)Oid8QcE z@b&6b*SkuF2$6I=_k6(n^>_7zxr&eo(&F=s^@9ZUh4Y1jeb2`{qAZrnJo#qm#{DQO zx4jqTe??}I2I={3l)b8Ford4ap~(Cy3F~8)%1wxOcxJF2ZEq!QHFaaW^H0!3`er=- z`T0Y8F!kbN`&sW823*_T9tzkeHMmUoClHXs1-flBMr?E2EBcOc=lI+N8@diA?(fK? zy1D(lj(6MdI;~r#XFqQGoOcC;qu>1|4bRCOkIp6Q?lb4lS1tVZZ~t~^tNqKr{L32^ z{SW`}4>Pq7w}YVIKmOxCZr^(8`cMAkPqJVC^Ykkm~n-@AtAl`?EjGuJg-S$Ggq<4}bW>+eG_9aRmMT`mg^wG!*~t@BS{+gzMFy z2IMdQ@-Js7bXLVTM#&2muVT_akyy?V&6t zu_3d-#=$n<0<0C!cDYRaVv%aFFgNi@CvT^}xJLLKgx=(R54YDknz~_ARG8E@RC`eQ ztq{bjGoeZL0R{(vJabHDY6)Pqc$6LW?q!qFXV9!_1s#(#0Gwr|7I4IT zr3YF22rzI|WPRKXoZkC?DX0Fv1q=k5$U`3r1(re}WM{q4xPDHV;6=1TLMyESLc<># z<*^590Ws(83LvJymtR|us`mm~dN+HzE6oY5$O1irezJZq5ZnwCptcw7)W9TbfP`rK zIUaBFOK4t>jM}0`E+P8bKpahs29K^5?Tj&k<{$%P!Z1oftk+&bFi3#bwjgef@hx9#1OWv+~^{Zw;(RIT-WlI9Ap$N%#9YB zK0RX(6pVa;FS1A30$+qP%G<=eeH*lHgmCkbv_EGOO9%(`_FBxHLrj$Jw((WT7}br0 zV9sPl*%tfs-Uyx$7Yx`9EEz8)bwT8r;e~4rXl6V+P<8=%_&Ac*nkZa7=PplSkx&WW}HuMFn}XB@U(hu_NV2_P2mxw_KPB2*nh zusr&M_u?$e6cc18P5um$NI>)kIX@6`m~{1k>=}J z)ELA?lFM8?XR@AJ?=ml4Ip~h14?n2|s)93|DTqzU^Ep~*n)oCGJ{MuqqkfcO2GHDt zPiW)Naj98e+B|9hdG2NAfUBI#AReBIMiQD9y)IY{wHnhrbu6I)$yvmj^(=f}G7^^X zy=u)#O95}ui2$F}M*#_YRAKoy@k!`-SP4SX#{vFEDQ%-95bPKe9PD~tLJkZ1%)Dmw zss1Wg0)!QjDq!jwWnVcv6eON-Ce{E&I>*(^Ui34Mspn0+U+VYN);Go3Zo4L6S)p%X z%2mSWUl#-jzkwgmr+|c-9Bqv07ZfrU0KtzBxV|R1rAU+4yk111YBkNuRLhXt2p0(+ z=Lzf~lMr;TKwqV>p6MUdAU!M(ARy_xF$5e2+%vvGenG&ECJ&3*xTj6=couD8B7_al z8o%D`58GV?^Rz5>*R6x|j`9f*I^5*n?f}ADx87aEpJ5BQ_TPoO7Pzqm{`}AXJoEFj z3=2&E4M4`m0|C$aCdI>f<$M83$ke(o8o@24khVo=2re`*ve!BxjgX>s5UWoAA; zcc+t}YmtZt*1CG~tTrTKAuuK2C6L^B3N@h{PRH&<}l|N8s)aqd76+AOtCiR znf}EO{wQ&1&{y9I!n_VEm>V?9sPt_GqtPw;Pu z#8abvPF=d$khVV?A`J*5If051a1p5JppmF4((V`r5F{G8GMMryKF@m8TlVM8LKDE! zAW*n$L(SYG)Z^pYsA}tIW>hXk#^jbkTl33`5L^O^9+Zg&0v z;u!yW$F>>@$jg7KYe?ge04z;2C}<{DcH z66S^`6jU2ve~wi145~`-K+r{suXWBr1mk#)W}=eFMQG&RVk;tVH4Yn!UOFHuO~D)x zt+cF+fwi0sT7=hyX@N-|9xS0WJDNC+L;&NU)~1MftDI%fWF;CUve%gY`hnX-_`&@7qv%u?X!SC&qF0Ok>EsiM#~hdg5cniakgG_V8-|iznL^d!6}rQgpCPtU^JK7w0cd@9FDE1Syq`_*Yxdm z`!%osL?2h%9Ohq;%GM7E0(6E#I79`}=aPU*zmSGO90Hjkq_z7(%m-L#^R>+E0!pK5-af8`k%146d*3Gt%3H z?d#3WFK|((b5ovmlGSs|X@6Tj``SMDkwe)tJ`Yj^2;)$~2gdyhhQIlnzX`LMY5?9Q z92^{EfBUz8`%=^=PoBJVZ~KM-*L6Pow&VP?uGJ3wi@*4b_*hTPajK2?jc`G86mux(y4c%DaZ8OYiy0}sc-A1g?{KNBn$UZq{4ASnF*B&q|TQl5R zpbkQ4VNUb&9cXHXo533110>YHoTf)tNOOcXVVFN>6QfIWHT_IA%xcDKn?DNl+3V86 zH4VRc_?n9)psglmAL1))XVIZ8rrC2$@avZ2lU;z-6{h@)k0I@_Lb1f0Dq#9x`2pJt z;$oVxhi9V)=u5N*>DOfTQJSBIpilyT7p)*$h_63DIO*d(0G=V5oo8I@`eQpRFoD|w zP%Qxp+W>?stoR7Ph1844pc^;m3~GfoIco@^MatGu=$B~oK79mXq)B`U&L{&Ld}xOW zW@Gi`bc9cN&KaBoI}nT`=;Kq`u!E4RT4!1u>WYjhfDBKs1(_LqU}wD#U(n8``jdyB zZsKQs4l2K!=E6S(A}!9$=AX2yQ%7z^i7*{g&ys=fWIjv z__St4E+z9ar=orfvMzZhC~Fz62J6bei8ir+HubShT&I}Rf`sTcGTyZxMoR$rw&4E- zj{+owmv!Y+P~cT_k6h?eczXArSUb#`ewOHD9K?8w-)Ze=)7~E2*j52z>M|mHX$2hZb3x;8hv_4v}ILgQ|X zD`*uziTJz}W%I+4^%%=T&nV6L4E|XEC5)jLtmzL$_6U|<`5Zw#Y1atU+paOhlFc{M zE_k8<1c}!{;8>t+@;USC8STV0c1aLGGtuCms8Z+!@Vf>ArG*VNb?`!J%eWC% zke4b<2Tg68ROQ$dC`Egtzv8(D%VfFVG+1WKD}Q4h@4{URd=*+iYUwWAwZNCU1!nqQ zBaDzTRC6!_oBNAlBfHP0HGny)mB-u*l(KT86!41c^hPj6f`qau2ICSfzUyo68~kmk z@B7XAz6qw_z52Onh7_Qb0EB_*8hmb$2xvlp_?=9L3U*!v2UE-zC%J2hCDKaLRT3By zc#y%QU9rb0T{7T|o>a+}*}U}dmS8>?rHEVnsY)e5!>$c&PEi2~*~umR=KN8DsV+6F zO59(u$tugGbMhrSoPdXEX)f_2bZnhem=# zAvz&YH4{{85L%WL&vY3N@#^K2ecn6;=sSmz>|neCFl^C3&(3#_0S^Emk;)2ib*sK> zK$O|&G@BrW**U`TI#OK2Gl;bTQgJr&8w9~d2~NjCXyV=Qu1uB;neEf8QGx5?I_#~Y zRoBelEkcge7Zh!14wf96old?F!;HBWOmH+X7uzd-HA8tWEAHV}&!M><9qmEhxh_ebfac6rfw8mA47Z z$%ZCm0Y^h!Ee*tYTtGm#Va#cLeD1+;VZL?=(@7KD$b>k*y8wjb66Kn5Fx(>@r5g>J zm$@1oGS2iGBy>#IOpbi9TE0!~?*kOKs8=CC2(`Kb;FYNks+Fto6(JQX;49D>HfWgd z^m`jdIVYX|Gx~R5sY5%V`dA>=sgD`{oKHmy`PVeaj%szRzV%xK>QBJF9 zEnlwT*2`Slclsg}@X{wkhp|}X)`hj6an`J~JLj14>EO%J(B=R@aQt;a=Fjy@N!2w6 zOD_0I&Ay3b>Fe^i&2#5U9c-T|=AWC43xPuYp)Pt`jC~#P72kG;($JdoG37NTmpYYM zsA%x}EGq1!VQSRF1G+c@<2$LZGVhN0IR5M)@7rO{M^cRa17NVjVUdTjE&Lg(=_U{D z^6YCeM{Wt`ZxY_4`y$9R`P@)HPrs_azF;s;$}%NF1}y{-=BRng6wmS}5$(tQ6Xi8e z^CEa@8RNnmHw6lBovf#2l@YZ5Q8n*bIX>=(hF}C#f|hc#y>Iz}~<8+rMSM|NFlmz}c$`|2x0)JK4Yf>%V62zWeS=(H=g0$o>r|qWbNX@U3rs zEBq4bFYjj^1krw$K-y2L{%Q;U+OPdue11}C{y6EZ*=N*Xb8_Sy9&7SXUthuVFqu|r z5)zsoIv9_2 zO;3aa>t89?lym)Fdb*uj6SHobh=& z`Y{dwcR+~0_9+8En7~&9zz~CvEX?WfxBvij|5FQ1T1KH#+tJX2KD&2LjY<2(p1=kD zibmUH1<)sO(8V19nu7@(l*WVR!A| z0(uxqfo4SOaSg3tJ=t`_1S1>l3hg<#ciP0mdi``?1ox3mVDqWVP6BcJ;}LC9#gSh> zz})EDX9&^`(Ov`?5G2gd)>E5MI$0V&v=z6^YHFU{JayM$Qm^C#H-$+T0!=wqM;@w` zf~A~O+Ux`?6DR#{_M`il_M~r{<#R^JecI;#hQ}WPNPQ071YtoR&AYl-cpD2T2;8Ar zxkQlGU^(o!G`a*Qwi^ON6QsWbAUeif#17_KcM+gGxiT+IOCEBL)uBE@som)VG|SM` z!*Wk(oI+HoNvOZ{QVSq7LVK};RUmvCwgHE6e=*-d^RInB^$orw?K=VER6<5_=TUYz z>SYJVXfy(6NxJS%l8AB%h$)}ZWnAIi4l{`gd;$bw*=9}}Q@}+0l4K1))n(%->moSU z#qC6)HeYcHD})(L{m9YACGHRw_$buElGZcyNjQh+)&5Fo9Fng=tum@x9j0B&+|G^=UR3B>z}xTZ!VEL8TFIF~&khm%A2Qdq5FDUpMbK&fQ%zF+ zrb63O`&i2*c*M^iW%3-XM{^{2H5|E^?+mrRBbT4w)zG~_}7N%R%qD#&L zZWA6N7<@|mPNBK3sDgp|RPR6J`YG`} zCZuak!?fJaFj5skVL_@E^u6z!zPzO%oiwr6e)Nloay07*>E2KN4Tq0OVrvX~)^^

    EG<-H( zWy529fAZsF2ZEvPAp8-poSm+5)+`=^t^KS14b4x2 zr!;Z0oL5HSy`M^u(!c!IS|kFa1py`*8h+8(K)1n1nJClNA-TlM%rcX(#9va#xyYfa zE<_4tmC=&eQA1F3qvV!YAHi8zC{z(<@c3;WVY?ZPZUK-;%N@^(c|9!}1si&MU^k0G}N)f6p8z5ZXUNT3B-`2Me@dA&S*do}y8>2>@tK z#~1Y$RMXES9BurLoE={XE;O0%9T#ranMm>&S~CboB|YfIoO!LffivCMm6>v=6eb7 zt@dDxgOE!>e}g){bgi73DNh~S?6HBuc%Y#VRDGW+px|>qj7hqZwqg!29lA81z>Xl6 zXCw^2#8{EM@nUe&oHB#*Zm|_O47m20Ln5XwzpGn3xCnJr<96{)!>FYgn2E~OM!p@h zdy(4pS1~LthuzM1ukOJ6ZsH0L|pEc2W zRTJ@#{^*ZF)oOg+0zwMaPQYK50M) z1sFzM6Hw>GlQ&DD{`Ob1>_g{1gr>yO#Oh*kjW-Z}D{}->05OUVdl0|P*JpJa^>5R< z2vzwmZg7<#r?mX|*AElEN~sGkJDLrlnP=HKE)||314Il6&brrxpET+4q#&l}XVtHY2axByc9?=G&Nl0H=4@Zt|B%omPUMF;0=X3R2 zI%(&;$o9}swnv}sVBv+LKOZi#PeuT5D?qju<~WN_5it8N@?lJ`1=na3G%s6#xs%>W zHUQL|b`G=M`6KuoEOMafM=_y&X$A&b2^|Q|aVcnCa-6@L4O-*u1R$#izo^gjbLq&f zFxmMu+c|wNoAsY(y&1kDrw5b?7ZvocER(>pr~XYWl(dUcoZS>1e88h2yF^>I=<=MP zAI&g06d)n<4$m60Pi#C+|S1A z=k(P%twvp!n9*DSyu{gwJ)$t|8vX&G5r)LIqQkk&2?C?eyA_&;a|qimf}bnerUN3P zwH5(p*P$4*j5)32nAS~v{e*UdYDUYKJYsI8ykNcH*VFk#RGvS!svm(t0Vsh&LCT~p z=r}bnPN z6bgc9g)nnyoO+%_Z(-lJE_Qqiyd_YMcU|kR4fLR3AbqJ-s|LVhj&S3O{%^D16x7Z0 zAcYrZF-B6`xLWJmKKhmG6>DQ?g<1~UwE^+1H6B}h$@|vJwZ>BPojmrFXJ^b6%kK0Ak#x|JF3nV(}b49Ctpgv>w)`GX)3* zN?#XR2#yO<8p68N>t3jy?=hFg@P<=NL9eWz?tc&xz!-0s4VB+>3-V}1zE6J7;}-7= z?g`*IWswO8`u601a$bXwqjc@&Iq%0g0Na<^g|2Y|jx-i5ms_$su(-BA51^wQV7jAOvT za}In5vvszQInk&0Fm=a`fs&AujOf92yMn(py2_4H7LahyW=p554({kI}rY zgKws-zrJ(v+-KWyjp1)nB|v!atB#Y{z*LSp&7{o;V@X-m926Auz3rf>P0JgE2G6Ge zpPD0Gva$6!sCUQBD|A7^-Jk@Onu$8P_C2L2-BhD+my?h9@dqL%?W_bQG5$lw`d99l9`PzCxVRO+fk`nK&(PPS>2PGuMD zivZJA`y)&@tQQ(jjS1l72oMRsdF_L&J?;QJO(95;$fVrOC7=~V+8QD?&>>#Vkv_~% zWl||O+D!UWXh?bX@m7HUy(YxC2k>Fig?dVi82qZ6YlcaMq6d@0No9X}o}CVn9;R_G z`&fwAZv3+ycN;9c{DO>q%@jfaN`1U4h=y56`=>7KE8@3c9K-J*aSzv@K*Ub78318- z7c~@^lhq4}Wr*A{L^oVXfo9TC^B~)8d=A^R#{n&VDzX!pCv?76_y)oB%d!vfD$vvb z=;{JItr1 zAmeNUZBEOAInrZ3EzxMyyhsBnLuRQdnkWYd%ok4AR0Pnxu86V2V_9tTGJz8W+|DYNdvn3LXU5gN;lMIWfo=y$)}apat)Ank2`9rCel4o!bvwvh zJ5BtyO$5y1?1VfWuE+n0UnTO;M9ik>0)YB@%7OU<7=O5~z8&5U=k(Cjt_0)#BtliLivdHTRT*N;*LhTBal9B}E)dUtjaY!SeE0ox+yWg0)OIFlF6={Z#=Z@`1u+=ncGcpk zZ)Jr<<@ccGqBX*tCb80#^Lv|9OARI;GMs%Ac0%xxb-5hClR>A-f4Ojwre-gfEXGY} zx%K=Vv}Zm>+YPk{!qybuTzl{3U@6k4ekYa2nCXoc2f_~~eezoZG>rib3P2!$CN=|0 zpM>D#OXSHstWH5%@YycD`A`db2VUqiOp@-QnzVzZi#~huF~Hdw&ot{NNEmHIy;8m| zMADwug{tM$hO65hkWQF!4M^7jAPh}H0I?-N+^V^ca3C}%8@}d6HL17*EjHw1`HwLL zI)P3TwD{xz!BQOEQ$5mAIPN6%sQ?nSYaqBKIB3Y(7(6(~@i=j4HGr<1gMR(h*`@*^ zf_Xt-uxRG^|7$^iFY?bgSf^j*QHve`FD<6_ARvVFpVo95@CQNPnh$Ahht3i(0r1RF z0E}&i=Lk|wG0phiaVz^2+FqZ8Bk1`de9Ia1(rFhk6P~3(nN3!ofJ=OyYoWt_Q)^Hy zz1#R6^ypxRGmqT~?Z`%Wih$lR{HhvMAC86qlbRJhqs=@|IEnpY4L{S)&X@@ZWCFC> ze~$kGpy<5+EY1-6#Xc5uo@8fxACZ=Vw6raGg+KZ<;x<+8pW_1%!K~+dFOV5i`*VyR zNzPgVd`jcj$nr$zq&GNYp5)Kb5FCbo8m_ zXz2!jjcb7SHG%+ZERD=;BgScGjsO7d8EwdTQ!B4GMY9fqtp(q@pv~LNnF({V2Uya> zvd09ZE!H84H8<*5d$uZ2UqUVq?L#tTSz~f&RMSv4VYceoD2$%zA7wXN@xPc4Ll+$YNZm5f}P9+$M9 zo05kvekd04A%L;gWO?k565$ogwc>1|3E$g=uQ#kc3qvdLRUxbi!Bi}Fu*!v2?25Cl zTLU7WiX_*u3TBZ~(gt2{`976MNJK!yB|`~ui8{eSfuk@n8gE~e z!=G)5HiB_=_$&byJ1RSFA4)_Mjj%Eir_NF7Gp{}0uiV~Us#8SX{^KcA1gAb9%4erYTV+5icd6lqS2qKtM2) zRT(ttDFd+r2yFu5?RO$(-9^ikfd$Sv2R~$XN^N{%*o{VX{Uybe0?q^d7+w<~K)@?t{dfm?% zgAcPDE!`$eK^Ie#h#8{IM1KZ&ZJB3iXu<4CxI%!pCbahiF)j}9R}Bs`&^m2M=)#!s zCPX+=co1ss>F42ZVTno4wNj0*2uiR{ClJ>#txL4>W*vY|7!;-Q>Yzy>{ox5-&UtnU z6?q>ixe?&DpbwIW zTrws!W4HkaF=Z+k9YG(6nxJJ48Rih+g6$!dNPDjlUT9&86fPBFmG(Nv=iv_iNCXtO zg2T(hANyHj9ub7rnj{SopIq0g)+&sXlhh&CkK^S!IZUN*qML; zeZ&m&tc=3oT$v*>l7tfJMOr_`2}c28>eBn^sTa132Rw`mCD#E-O91)S5ljg4vjiyI zRD$Ro7`b!GlS~zpT{ZD!C~p%y;Hmg&7*eEram<#?gJL!qEkXgp5(adRuZtEE&3!Zu zx=29GV0>>1N{Z4dv`Yu`o2)Z5m4LnAmwovrW}j}#<2LtQk394;Kl$ByO%NCqz;`UD zjjM$8bocelT^)ZG;}h^0f1ho*v9#*nrbNWSj1~(4XcUcdLL17kxzWN1JEZ3969fH< zAT7T)a;&7_P!6e5UJ(G1KMT-{1pL%vUT|cyAsLBhKJ2WXahrpm zY#(Xvhb;TAZwp_4U8uLm$d_{0`Fo$UoKzOBtycugOFiN}sXkc;K+0 zesRsXv)yg$Fv)5o)BeVF9J<|#1;jGqI3YxzrOVVeTsyY5?*{=8k$qTws`tJ9M#1;% zce&pD^j`J*Qhp|0$M>2#*zbNEKgM;lKEkwdIqhidxwwqq^spEtt%S72lvmix1h-^huU2uwA&7_T|a^+I>E>En7xN(g(jlhu05Whzar=}D{ay& z#IcF1LBo5LD717i`aiH=y739TxpYT1lWS9`nad0{T@mvu+k{3LcDma!ioN2JVYGm-KrVuuNZe)8-+r z1Rg=k9KzG>XXp4YrnAXg0Z=r_VpEo^kv{}ntAGd7>@N0*iso47DYQPCdYCM{8qT4K zzW<=eo}fu+P1GP9;nR5!pm2}xNt-d!7I;F)Rm~#&i{<$U4J~MA;_KV(rr;C(-f5C? z0HEU@HpaC6(XLR~8GT!3AKyc35&)vH!nFnfWCL(jZAGYG-sW6FUwvqMHf>k$2*8l{ z@y-XhXc_VSQTAZ`&1~=Ny=;ocU)jRPBjddXkI-EMjB%D?8?@(p!QT0((6 zhp#NMho^aVFwOy|F^}jJtb+dh#(VfLok*b2H=T39b;hp}pA5PZV0k5d3J=^sdu`Uo z4F(oyt_!)oCvDwOLt-WrpD_gJzk)KTNr(%C(J8zK1i=f^d^j)R@u;_K&JZ^na|Bu$ z4+X?if!1q>drf%z72w|zp#y!;=ga4`-6}hQPi%6U-zNP9K$M!xBYbna=9CDgk0I1L zj2YJl0Yah583M2?)`J`nN1)n&DKNiWN7OnbXElR6)!EG8!ut>vrW|Y9f^iToQI%uZSRJ(wrY8|Guu$05tL$U$Q#~yA*xKBEQ zgA7yrR#JcB8gevk+wh3GwSh^_?$KX8EZRu4o?`A;fW4_}4)}l$?c*689B!N=Nz1!3 z*SuXMc;%0#Ms+h`lx<fjds1yl!x!;knBKhm zd)EU0y)Ce{jsN#%e3#o@3*5E^+#El<-^|{5zRphYZ?p$MIE1)6L6htZ>90|{hj|i- zE;dj$8TRY=lO!zJKxLq+%w*p@G_OO%P0{OHn{P=0pBww8c&3%oOs@$-8WPJ_6^5?> z2Z^ca(2G!~4xuN(%uk6y^V77bAfcv1cLA6*q1lpZ@{|ZNEZ!t32`jY+4O1lVd{+Wb z&6lfnO|{^CcVC&i5Y35K6Jh5&{(Jh+ zlA}2$fekPvB|DhDM_y12HmCm5NF#h6z)UY?-XL0XK{rhWO_BJ5s1HvQ)KR|#9{L9@ z<@@#z_iMt~a-HL+tKZgCY6}KwmW^T9-z1bs`x;jCV-s+w=qILZI}N3uZAn49Zf!eZ zJHqz0RJ;@vKwlirZ$G={x;>UThrmQK|G4=+POs@h80ta)J#&mVmXBbN0ihcJscMdC zlC_69A~hcM!Pi{9&Ee!TB*ifG)4)^>jIo+KZA^1GM%wuOkg3j>3;GLlqjUx&BSap= zywp7e@j9fphz$YV;H10>)u_228@&M&+d7}XuEb;l@-$0om@C>zNbAT&`f>A`KhAse3yEsJWm>38 z1Whzcq&6A%D-KbV49=IBnuK@`-#VHYAWQ=LKVrW0k9~ z{ZxLtE*b2*T8psGXtIYHCQOWKUbK6TZ%njw1r1*nT1w`U=FGJWDfTrCx9#&rK`?Ni zbPnkx4)iz~Nw4oPH#r6<7#kfJ&OT%3Vy9(Dd6q~_yUKICI8XFde#hAb-vS{KxbO1j z{_S)5?RdwZ-m3zSIIMa>KP|Iq;~k=Q0QTRmAOBe2<{1U1tPTXhJA>u04zcxeUnZC{ zqbOs%!#(R}Jm2%2(Lo*Muj^+*Rd6nvUTBFCPp0>#U_AFY0YDjKK|s^jT+f_yugRyR zL*9q~AN%fOy5}3jtANCt()=>tx6N(0x=jKor2e+O=b81|ux$cql*U;~{%ia95B}f}zP5G$x>x+H--14GVFD0(2H~zTw2}v>0tHT- z_@4;L2%ELVw71{&eSfFGMBfBs zLN8Nd!Iwvv1eI_7dtL^zg04f}u%$>4l*At}I+7LSCPYCfPA< z_V^3{DMynG0lIzY(EC%sl*s_vV2Nf_k)07&AM=(%aLhbnjjGCMX|)XFN*jV~YTr>A zDMRU&s23(ia}L})0B!>iiG8e?3|7h4*8~BrGpuuHYESK31<*eUMQ z-|x|1KO#j&1!Kk067P^kz&)l(8#DpM29rmO1$?dp@QwSQ)unjpTRQ)v(Gnkh4S+&; zQhuwkDM&bkCms}PTF$~c&+38i&=&C_fM|8_=up5q^}gdgf5tfzID9@?UL z1FcZF1;>$mbmDHPPpk=?;o!zWYd4zCoY055gmKIqvW|JYBXCdlp_SO>fi5$qTBTt+ z)InkJ0sIL^9s#fkQb{8xaL{$m+zkmFv^51T9pefL%M5nu%Wh}^T1Ssm*4Z(0({|`! zZndLzA2kM<)gAchA#+A~QLWLOdaeRseuPQU9-5;#DA9;ercoX7GrBs~4Ta9N*0g=D zVyU)++KPL`FBRH_Ur-yesZiRXrOl9>w@Qq3XZA` zu5~QWB9^R&nj3BawkznN&r6zCgc39XrLO{m<|S6TqO6(~H4I2oFi_!gU0bL@ z=yzAY@dATX!h5$3`Xnvj*9+?HY`` zCVg2543cIscte12K;Iyv;xg0MdXVNuIk)ShJ$*{Q?Xj*14mvF>{61*bn9kH)e#hWZ zmjItMZL|r?R6L7LX05y8{UTnf{zwDM3;Dhvqd|VBwk~24KA%(06@5`o5%89&aA5lR zg26iU<-Ht}Y$5tl+J!XV{yG=4BC(wf33p(Qw6eje>L?qdc9=g22}0EhYKNh9zCiK^MV zVRp1YqPBsQ=5+KS=JO71;m{&021i-3cbN5_y^C4W`wGiJ$d6$fu&vKduRnr0M4je6 z-1u!n3EAy%4j}XZ4YN6-L%ro^5Pmo*-;VH_>(D5J%PV2L+nDxgLd2CY;&m{$C1O>{ zR4dYRp&C#>-TH>TApa=4EsU1;=dMY(#Z^rHY_0n=E(tdIAo@BA6`5!zAsU#Npj zctfflLO7qmnNg@{1{lIzz#2mQybTcBeF&3ql67G2R!CbGFhR}H6sAI-5-$KP#xP0v zga8rHM2`nEOWs`oMywe>1&oJUgJH4;(;f|+WcM+dk*}XYTt7fl?+Ej+Xq4eZeme-z zoFkFy9GC(mYi>8+S!8=5Rd^9IXMSi3ro|YYL#*nE{0PuuNITRar(8-C8@e#-{i)z6 z{_6(%S6t!40P_373pe}&F?k9c!{YcLBa+S138@S zY6oWS#V9N9V>Sv#+HyIRElZbj*-M%o)i2?#f)%wq{0|e$*!^g?cA3M1RhS0GOspW- zWSD37Ff*d&;1K_{O*%ye@oGpuCU}mfa_)!qQHwd6Bcj(LBh-JWV|;G!Q)#tlA`$|&+Rn4R}DGl4NqK3jOQ|G_FNm{%#!Z_ zy13`}b_nK~_XS3MFJyG8cemrkwe94Rz%nEQEEvWafsGJMv3XBmR4Ya2jrkiH*RQHJ zVJ*94{blqy(+dDlA0-MO#W}xY$F`x}Af2MkZCCrq@fB_EwS8nf6Z4z*>i+d!q~S9| zL`s)G@xPRX|M4fr5tp0s=7T6qnj_UR8)HL-7?-Qf__7Z5yL{h;yB7F5w!o~{4fB** zi`Y4Xy22#(Df?Rp9x}l^&`*KM6BEjbUr%u8Ag;X=bCPdqpyBk}92yUxOW%PGLinWj z0X!A})z+KUG-cg^#%y6V1F)bC(9|ssAlo>k%|1nN@fWi3;J+@tSLZ`gn^Iil?%j(J znuC*Fc&~Q$bbtjAgd{)QKL*4Tlrtq4HLE2^D5ND1)`zcwRFo!(`Wvck71>`|^@UhVNf`szDD-PO$cjB3v zOnu7NN7Ala?4fA{Xkt4-51tILUIHH=4Vw7)WLorUIn^xFN8p0P?jBY)asaKwt6q)C z?`R9ZZ4U}cT{<{Y*MHs`vyYQD1c8;Uaq-P~kQ+dA78ehn_s+B9 zHhhd4mRCU3wWePYq;i}D-JkCEnmHTb*M7^fhpa(8HhO3g3ul4!FBRKd1_u{DQo z7noYA1&XzmTK@PD5M~$tEUYn+ZXXRl{m+#EFbaYT6gu=h>rr@7a!}w--grYCL4ccY z7r@B1Zm!lMc}@`6_B3XwNl4=8UvWY|%+S7l0guE94Sdo*ge?M&zoOy@Qc_Vswfu^RlQ9ZEq%7uWv1Dez38fdK$Ba@_DWl$$(b zeP->p1!DxU);R_hAh0afqsdxSN=8q>FTgaH8=vh{;t2;NXaq3I z&bd_XI*hs06-080&CL>R;TdLkd)-GgNt)Z+d9|mUHNdYed$|8V7`Uz4K!i({>%fk>LA^EvQj5=BV-#|?wGIETV|%it07{*(0SbFT&` zucmL^&)F($kKq%Vo^lW0z8dT9_gxEod0W8!)Ei0_F#$B8-xZn`UYsBK|3YFgw0+xefPB$;z+e0LJ1CTMX0~)dlKXoNfLyKza#?c zc)sMd@eSM8-cw6PCeIMRE0VwsUP7)brx46dN8bL8B%w+1>G3*2k=ihF1hAY%i-W>AX!sEIEmt zViKkW)2b`z;S32v0O~gh#lS)!frge|dj<%K^eF|1Bo-WQXir{tXa^0&9f&u26Dk5C zlDtdGxk9s#g25Hi6O8Xn2`;ZsX+Zq_We0pasIG+0DaRB?8i^*R!c z)|Nh&q4@-nC=Ljkr!ZAWBr1t4h?%4LrRHR4q%nC`m=T!+pv{*DS@Yl=Q%o>L900UB z_-p9wW_vIG1Iakd(7@~}5xRsSJHx+5$-#{W+G|Ye7$mx}2Z_cH@i_JF0djPT69_1! zgpu&2?zJYN1o&jkyr2)K_#G5j>S9jkCFv{LSHMmav!3`iF(rE+0P&3ZK9+;CXC+`M zZ_bJ9F4|8++J3nMV+0_%Vm&$QyodDkQ_7D1Aw+*i$`*zv4>Kf|oIY8455ib*kg!5H zp=!$bUH=IUzW5y^9yUa@AhIh^4aX)=#(ALq%YYwKRC zbGiQ8-26D_4gRg))PcDNYHIW8>ogcFmjjqkO(r#i;`Y#oId@3m2Z|ulPn1V6te#O_#>_+p%eA9wx7*|sOCu3`-Nyif_?oG- z2;2HDr46U-4}ypT{Iv|uOZ=<6O!AZ*FnGX{Gq`-;pw(No8#UiGXB-uzp;@1wcF>PS z8evQo^1m8pJAk2pe&Ec^TOcwdqbCSZ#N4_Pxrqd2ld_++82hZH%K@5^T{xOA8q^{b zj69|tSksl_geT>|1b`mX!ws}Lz+pYB+xVGqK*pTq+ifG(W#Y&f($)1Kjo%KjXkmvw z&m(Zd;XpUgj~vphF!9BDv}hc#S{}fw-m4;h@vq3svQ&AwEp89NC~IA2;?&&|+K>FM zL&T$rWOO5~x+ALyW)bHRJojDO#c6(1U@3}rFka12Z^!M7ShgzwO;bB(A13D2Z%yp% zzE_oH`=u}WwaZYgRjQ=1*8-yg&S8>>dybombO=f1AXK*6%HJ~Q;OWsmjw{>VPmoqs zKgaLt*-xceA_MX?asTkyjQKi4%fc9lb11IW8f2M{kIPLQsF04zQ39HNq9XPCci(p{ z@HK0J`GXy3HV(%z9kybT3=8IHu%GBgAQs=$AjuyX3q!?&T}+(B&pDNxOFMvrxf(U| zC(sNWgm(dqTqv#yzQeRkfr~{4!9?Ea%^$;$J&cE4gy|LlCI;hPdMEB)|3^OX5tb#? z9DF)B0}yIvAMZ^8>_~wHP5NAJl+_?oO;^yrERyd3@~P(as&Ilf+c7-NE}A6w5DF}y z3vg2y)+;*DIP#|t*i*pNB0aT}6sl^l7`33mS4y9fNpmf|DlJKABn!wt{!ui+$MH~e zi|Aa*ROR?j92_9%*+zJD(|RuzbA`XWIl@M3PK&$r$zb*#0LG^;#Y;EHm`zc@K;W;n z;J_R@WH!JwCRt3n2#>O9K*3Q)e2i1RHJk4eTK9DHeztQWSok4;={K^ylV1YJdO`Ix|KimkFuI1OZIr0H zAPAhspl1m1d$h+&K{z_OG!8HOvHgrU2l(sH9ug0r4B&9ydlA53TV4}hMPGs8QyoBT z_xM}cq7Q&g3a6yG*ZKh_Mwgt;By*#lOPuM`x(X}HO+SQ?Fk{Ozg&1k79GSZt_tp?; z!gqBrf7;SdI_C%50S=e)pJ1Wo6y-Ct2eDMNDh}Bz6OG$MTkF$(go`;Z8JrwtFW{ed z5K!HPr`*&12(9Z33FV1v4yHGrp zIMn@wHq&*?4xmfPzONRkzXb|c0EGqppnpQOe2wpOH9b@NRp1~%z3Yf>YJ4&k*oE8L zwV4?MQ_3dbIOX{v(vTg6Bmjd226sTB`>@Vh2PzR(KjVODPCXIVMY9s%w24+FCY1*W z3Bm;jzasFxGaF+vnD;1?XHPUk^yL*Y*aBP%@^GgE<^?>OAR*1dS{g$Q&?~J!@dEQ* z7}Gi5mM~&GED^w7Lm;b_e4C&(89&ao7N$Ad^cx%$Q`#OPPjZk03qPk4-8X~~^CE=;gXg(C-Q)fG zk30d#H5>3znz`nsOv}$2U&S;T;{%|adHv%C%RKrv?C<}C&w4`Be9k%LNAxlBwhA)_ zjZP*GP3t93W-zYSUv|Gq{i=3IPwxJHm0CdU*z*q&IA=?>Zym1+ak_0`XpcY42gX7V zGEgx22BT9t=AIAy#a{DLFutLFKmB5pklG;wH>QZg zAMXX>;Wrzp*G3Q=Y;ss1pdimADbzITqOB%jXZejIp{EoZTW_Q}6eQxBR|6naLQse3 zbEvWc(c@p8=Wzl)Zt8 zhy~hVZ8WJgFWMdBOd4}O^8w5%#M*Fj3NUy^d3xA%N9uOXecM9HMlr$J5!YyL;yk^; z=K~x#_vj=CFwWrPt#qMrMh#g_-#rhk+)2R;A;XK=)9zghE zY6H!#CS_a!x+@PiLEES|f^C7qYvT_>fNqT@*c!sGF#^oOOy&|ZgKHS)S@|&AE5Dyj zM(<|BS-%8W@+hwny;bpIw#e)|Uq%)#BqT zsRX7;X*fA)lJ1J}q6w`P2OlfISEX@{>HG<^w^HYqLX{GUUB4P$ihS{d{wQIlo0zuB z0SQ;E)6L`EFgNOO4znr57KoFfG|XU}+n$oYBFG@6wxK)~V<;2vM}V_nomdpdXbgKO z)eK;8hIVrwfrWG4t)1GNh0>xPR!Q=NwcFSuf9KS#Qk2#x?#3JD66|#Pb3z?$r+UgNp68e@sA4O+pU6 zvLpRSayY^!WxEWu(TfQ!nKqX&D-hrGvy7G30*4Oi_%P&RUZiurxF?U!D~^u5ob+N9{pO_u9MGLzvTTX ztnZJ$lk(es@5_80Ot$r+t}%uCX6|A^o8 zOY}_@E#g-3<6Z7Y@Lqkty7h&=Ov7Ng>W{w}TlFJZ^nEk=xH2>D@Fa0gm^#^TCxH((JoA|D8#&)3rK|&1?8YINh5q}0anZr7LumS z;mKeVBIw`l9DeJxcZ&8En-h8Et(y;N1#?$eei#prv-@Yi1fO(_@91~2OoDm;LA3!~ zt&fX5fMsjFi^=}SfIXNH1w0#LWu(*|2pcXUVzdmJpa>PMCHPrv$Aiy#4L~CM4qzJs zdzcUH%@_x(5p;n33cL=Wn?l7?{NYWooKj#0^XWc3mbpX7gzy-JX+evx;3=Dk$7+r;hwhcH7BuYOa^S)7cL6jI^qk_? znRYzgdmrEr`ki)`mT9ShhW1@uX-(mFr&^JLk1M)pVt$&Pw7-+>biNNrxXSJUAngGt z=%en4x|h07piiXH-NYIYK%R!w^TIZh+cG$x`sZ(vE+^}rjZnTOAU*|%?43V?`D)`e zm&{)P%>{PXO91r%gwd+hM8AD>*upF;2&Q)PAjl;GM$X1BIL!2!euPZWbP{ ztKC}4!SM!P^d8KUa(he0tNe6VTAb&eAsKb%yVR${yP7GUB5xTD4|*0-j+ ze3Ktwkg(_iK6(OeAMR`DFU_2e>HkuboCspeAGene;bZU9e#C=!9RQk+5%LZ#Lh_fN zA$$6pZzs&F0ueQF+T@HwOH__eWlRU~6JuC!s+9tL>PcCX_H}+*j|Jt5)A?7Wzx8aR zMM$5tI3HMQ64d$PI?B4Wf(Q*3lm1iKAf2CGBmm||{iz^j&?h6Wv+lSaQWikK1zO(* z{Wod_XwH7MA}@i%Hw|I!in%NBxFkP=0o3PXGxY zQ}%>NwZ^V}j3YD$OF+VvK3i`Jf`G?-n5Hyx@O5epMkjDC6H}Dx3y1_y%u=+ZgPJtf zTs{rJS>D6tnWL0M-%8_>g#4jAmV$u(mhSbQG`)1K;2J|MV`y0l20{6ee`Q{IkJBK-7k;02L7+5E0-KE)ku-n#k=iS81 z)X(p}zuYb0G56E|f#AY_!c#+jAbTFb^=(Tn59ipIe^tx${x4_QgJ0$CS4_Lxrv2X; zFRf(%ojKm+b=LwvMhjp;J9~eBmc0k?^K@8XzGIj@26#C{>q&nLQx4sCXJ|CUe#TD2 zMSyE;U=pJqzDwBhcoXVtzta}X=2Ja&AM}&rn1&=-{X0dvh?AZ!IdPO_+dgE}1dC*h zzjuQUYmV!m1OyFl7n@(M7sxfY?oe z@4MqZ1bM&6K6uQ|s+klBqxMicW zdG-unnAd6RTx|z`>tAlRi!|m5ARlUxZNTgihv?Y~bDS_r1IjRJjNAc4<1i-Q z!*tIfa-*2~Z7~)~cEjn;Lx9*%1CZ##8MV>)Y#|P&S(YV|uMFDAUqDJmqYWjvfD!Kj z-nH=mP~@0aItTb@JjN+J-~-4oEFg~LVJ6ks+YZd3d_rRYtgVI+_oQ7aO1>3#0a}zI zYdr^y1uW5C{u*$ww}T)7V`KUjljn01(#+>6;1d33oPiR(OBn^2ApH_3rS8nl)xP6O zv#~b?8S+%iO_vbW72+Z+VQ4z^vC^6?%sat3z?8rQz>vX$VH$?q_<&_bBI)hRXXbgT@~%;D6l5xg zFy@T?Fk{P_wMKHi!J1aLR4;%yq-Ob^(eL)#t3sHnwLFCFx!6NHP9cI$doN6lYD%*} za&S7J?leYk3NVk*!nPJ+sWUfMYvx89Q9$>II`k=rAXpFX#cxf@=ojLr6oI|Bx^AX2*Hl>oE@uIiuru7})H9-Rj^|Q}- z2knmRZD$B(pnieZZf>LWV)`5VaGe(4o6FSP!S|-Z6Q6Q9Z~Sfk@vc8D56@!D<~!p1 zepTigv~emK@2X`Y8D^6W#+Y|x9$pnp&vUehNBr8s{nd9uA{S;_Mpz#gmUjWuD#JX4 zF**7^4DBzH&c)EUn#7mtx01mI+ezlX_lO_1H*FAY%(#+CH=qO)ZS8pTfI-q`JH)a^ zdqg+c`1YSaxb|oIX<;x62^z}L0~q)+#7J@DcEGJBW#yu#!kN8t#L_Od6Zn9GA+ z)a8Pcg`?Cf?Q}6Qz3MLBf__Dd2aU0L=NapJ+NgZy6!rV!jdWe#=TSWK_X0~DtrFm& zcmPR?2}2If=iJ*)$M}Ye^wI{hj|GiAtV%2pzfiDQoZqo@1s^l0s-p{0XvO=V-g>i$2VuUQ@QU z{_?2j5-Ts`J?yH4slyk5Pw;Q_&$Ryx`n+b6QUU@6-PvQboxTbGF@^s?3k=%)YzI1i zX1?&uaqv&extSW^72Ocd2A|MBHU}f zq7k^FopOM}1vIM~RaZlfIn~%W1ONd>9TfV6S7R_FW+D#>49^U_x1T*c`fh-5np2e* z8Sj1sf54dv6}9DBmLGy`o8nrNrr_v|*+32lhD`4WGL2)-V|=Ph^lvquPE@4<(+06i2IoWl#j^Jzw+gr_=-Q)=y4rdtgti;>b`R}FxJ3kgNl*SD{9ZC<$WzTv0etxr z&u0qzJo+6Fo$_axC~X&la;!U0v;Fx!f;sK--^chld{B6NRX zanny?oAalQrmlQ4^;^-`W~W6L0rKsjOA>v%E9h-I1OP~sIp<_W#k*1!fN|T~b3H9< zy*y91)4b`r238C5ajkY91VG4@-#KL|0D1N2+30f~$5>w!f`s?8+3ZtzzPA`-tZSTu z6!3tWsF>}8THF-itTC{AYC9f91BRMl|;$D=QGFncr)dk_cb(laj%Y_-cl+{DLKh1$t?(ScF52kbf;vY z@o+vsJ$DXX<`!SXk4$_&y{nX03u;JNzk<3*2!$jV49gyV%iOztM<)18HAC|2A;s2Z z0Yf1PCJ%CnP3n+m?u~0VN@K;Y%#?Qrzq0ez#9W)zZwJ$lSqT!c80<^ z;6Q$a#?CQL&~F=-UCp7QQAbZRj5K|*qQMo++ObdgT% zavVMf;Fv*Ov=`HCybn0q0ce4G>YpKDiC@C@J$e?2Mm>FZPfqaDh|K3h%(6nDojxR8 z7=RLHr&*byY0#dU6cw!TdU=2u9szach_qV^Lfp`C;B18^z+lN3TjO&e$NwN)bT(*x z3f2txbE30#4n)wf#6Tr|e8gXvXo+v?*_i-<;?Q~t*j(U`B&Ur_nDR9eziTuS%OQTz zP66XEotnc8X^wIQxIBkYUn54?tfZ(n#UbyeJ`-Vl*7$D-zju3+jrO4NlnfL!*#j6n z=K2uEW5xl-K91EFkI~E=y7ieSOrsnB>4U6&1Tl@Ya2sjZ7658K2LNSyttE=(4XwY7 z*X5=$yG@X2h>#}r=Kl7D8ia;C#$_LT5bzS)y5Knw$$(gVx1dZGG8bl6<+lxtZKt<= z9obTbD92Vg^*2ccFm(j8$GQ+ES*=%9;3f=FFs`f%0T9B#*ZInXgk~!#2u{6mK$B2s z>Nx|Zv!VhM&YUL^;ON{y>UxFbjN zQwjovO6vPhaPn25fEk^P&>%cvE^?5fKf*3%U*-b`Dty`mX;Kb<7Mk?hW8G$r>Au2& z{j2i2?%6Sigbnte9Zc@-0KoQ;a@XW2ynF0DG+UUGK@mD>ddYOL#yh6$x;Up}8W_*b zDG2Yhl|^=Tzr({lv$w+kEPbWmK#6ai^Yyn`vppQ!4AFS!>Yo_e&c|v_#+P|jzm0Ei z#&0i7&}UVgI$lKQPdy|ptA`mfb>545@m!E9>c`aC4l=x^A(&_UVED}Ira)vFM++Cs zrVMxL)|cKeEu|f0Hf3^$V8EL5nLK6b{}d*K-^bsFDfuPtlg^ht1Y=Dhm0?mc*FylO zT(m9i5^c`CdMsI=y4$X+o9*qpaR_0$ylWcU{T$cz%Ufe`bKlPMb2ZfW>b|Uh`(59w zFa6EO^0-Djw(7EN$E~x7v1h#c2H$b*`*+Hmp3N7(5X0IP0Y$tLx zhrxRcLiOkj|6>Rko}xi>G1+Y_C*j463Se+GfF8#*A(N_Tahg+w?U*-R8?}Dsoc8^$ z8j12>2viCX8tNR4Yp8#BpeOHfIIqQ+Gc?(b`_L>L$bX1$^|@*(5mTNpac91l(on|@ zcz|~B@Oljm!|J|SSNL&bkT!zoCN3#Khx;wwDQu^NQbeUHbx>nQ!f`kodw5vfnaHW+O_IUei zHo{k2_AH{U@LAWJKFoGbznK85&|srY$TtVjTbHyMCNO6Jerq^1ST}g2whq z%?Q7^7@>*wHlQ#dHQI^N!r_||5V91F*b0tYLBb|Hq+_I@90lVIP8|U@#vD9v(=!C> zTB-s9=fA=lkUWDaX=?Kxcj#Els6tueK-51buZ262<_avYz|Q8Gm_!k4J#QDLxc? znE3o(?7hj4WqFq8b>DsSXp_5}4>4zDRaR#Lh13GEK}d)lVvP{X790K;RxG;21__A; zTi79JfrJ>;LUd(x8JX!rxZCvR`Mv&p&b`;{xw)CUM^sd%XNCRTpWXNF@VmeH zch32qVFD0-JxOaC(^8sQ*Q!tX}t_Th83KipR7fRdE|IYw^}^XtmKUuCRs_) zHj*)G0XqA%6R|_5{iKD5oe^>mi)QupiuL-yzh1-ax8uNRHo}51MM+)O09K89(T=P| z4oQJRzZ+9gUUZJk&r!L>m4pfi+|B1*2|$?V+GM<>j>?{DfbC0_Lm=*>?^u)UM;lW% zS->h11*+5c(v!v%-1?y`QVUdnT+0 zDdQRdSJ_Gl2BVgu2#>qm#o{cfqE$GbzQCfL5FdngSrLbC0Z4dj?7=ezkDwrKkmKmf zwa5>RWsW90#0K&M7zpDIuuNa@)fL0_QMsfZJ%it&+|s$G7^`_Umrdn0vWnAu_qwg8qTv{bjaR*}anbsQVq#&9wGg5e4T_~OG-5l6Ql-l+@J z0PgrMpApl>BjxhD$#*k-;^X<^oP3M?S6C13lNaCnzu>C%q>|P%>hAYEFQ0u^ihS8F z)FIKbQh@R<{oPwY-uc--!>Hxwj0?y$$FbI{juUz6=p#Fg6yuHYX{KHW*Kb*@!T z1Vp%5XM3HS73U~YQ${j{H-GhiBM*Ow%j&;Kl8^p*>cU_jO6#s zZZZeYWuM}gPx(Dd@s=PoGA&P8Ikl2}$i+pXTnk1YF=(||NA`RMILeq>6hTY<%BvM- z90>DWL2!9apk*QzLy};IJ`62Wh1PR4mZ|Z6FlYKy?*6r#%Q%fQKcZ!~_kV6vAc;@U>NAi(PmvwaIQOk*(Bg1ZdO8!t3kL0DBv1O1{EX z!V6wRpRt+}%^>pLu$!+S_|=jU5O`afAAEz`iZ+DNNmA?IC*b^_L4f`e;uCiyJXpaU z$O0l+Fjpl^hPMrowZVV>rt%1w3?|PQiBO?aeBzg}ER*_E*s-nYeg;<_>{z1)%uXMdAYI(+ z;VO_2g~@7+r7E8e<*A_!TOAOO0Rm7L5|iVHSe-%zkv7bkYE8zCQDN{4n%kps^aR)7 zRA87ala{YCHwZXlH;hLv|CCy|hrxI3mi{#UV43n&_21uAQw~6t!1Qp_Xlw#@QlBQS zNQ{G#BFwL7CCR)MC|(i=MW#W3nNg3%SQo+)?Ogj62CYPWx41W*({2sj86u>JNy7L} zv9{Ctkz$5r8r)S_5N@#03~N+@5vcn!K_-F!;@tD z^3NHY0InDJl3E>tvQ3?!>?$}L*Of_`?ZLMB#&s~Qb9XMq)n?;K#3HPtsx_OxeLBL5*cUaJV;w;F zvwi0Ka!7liDT=$w010ns+pr=eR!NgJQ7giTQ7ISnJts9)Bc27^jLfJpTi=!DC~-LE zO$_m*MqFOk@BmGTpE+jjN@0-3y-w0;e*CWN-ut@3z!CH7K_5i}7ST2X6`5fGP{v~r zkfAzmK>+z2-EO&0#?NGlWxO0x-WSd8u#!RZId9;1%HCbyykL#SI-qo)vEN41`_m8r zx|YVr=ltv>$5Z6t(XYkt>}TBWo-2>*59j68+|0`0rFblVHm>_lF2sIKT~wO3{*i~2 zH1)Pl#nS1c%C0@ed9G^_X#2b^$)Ng>&-e+$0t<9QD)f8;V9lmeQbB9A{Rp~%t#kC0 zx%C9C_b)S$@HU|FhOGY}ryL7{gnqPyl$m!NMdE0Ek>^GG*v|H?U~`Nw$JBL>CU3W* zPvXcq=Znt_Um$FP9elm(D>F7nl%PVHiP7sui@fBU`oZM?Sng4k{3TZu)Si+L*U ziD&q;H^)sl3UzKNudo_49@zj-9nY|Slc$3M;N#uUu`X0D@Z2qjDAlYbUX_K<&zeof z_1 za#i3@6yBx^tl{V6TjifBO2T$h3cslpp>e~u#J)pYY3FM8HM1V1ZVLIOLs{U4`(L5| zM{M@tNARHV8H8D=F56h}A%SHB-ar$~o5WX7zeXtubwjL~M)&Z{!UnqrK-24o(Zyo@ zwcT7$0Re39BH1UBPn%jl8Pt&4$=?tYa7EkH1Tu?G<323_1Jd%{^hZ3$b(_XsDpK)? zN87~fK6`5duu7y+>BCZK2w!l!6=BJkgA!2ydxC=&(0{v0%R*BKEz$&0zR>cCn3D%CJ#r1r=Vy9V%rHO6zx}8Hp5kHd4pFBz`-r$n9;|X)!+@K zVH00f;Td^%g$!#8V(5*v;sT(!p!ZQi3~Nfp)rNNKu6l%-z-td1@C5#Sc8Jw3|4slf z`z1n3%v2&LHYH6o2K+c{GUn%;r#)K`<&JrQbfg?fg^(fR7Vj(_qwLFb#IM{^?uh%% z_)vl)jWL3rM~s64_ZsDHthksjQ{KN|Ojz$lbr`^46*s9qATYWP(Cf|m+Vr~o^rIqo zcgmcK@}K|@U#7L%(Wa_f@1LNymt)Y)k7|jvNk+8BP7W_R=HU9 zZZHLO)yihc&0}Y`rg1NGY=}ZHBwzrnWe9D7!3yh4i#~E}Vh_N)uc1WCcvnF}A_|4b zQp}6p9Itn6cW8)~QQ@qRf^O5He43$^&w>+Nw zi=h!*ZcXwiS`&I-08iv0=;v>`EXow`@MiL`E&Q0b`O3Fp$Q)Lf?xH@U$C$<;`DWOs zPu`{XY=I?C2EP2C0B`?>xx@0|2eH@X_=rBBjRkvcd$&^i;=L2&N089Ij*sJj`~{-z zyXa5eDS!U-pRp(YJ4y2RKcp{t&xe%0O_e{Sa^IEZ2igMRDnw?3RbH*EFChXy$C?WE z1cGLhJQ=!~tJMSX2yvv#1>JQPvHm2MbPd8B%~Q78`!`$f{VT)6#D49L5U0nv><;hB zk|eGmUKS^is}LR8HMDyu1LE}{YGm6a7A52$+v1vUH9w!%f4s+{B;l%*y!u9LCNT@R6Mw7aTk^u&7r9rk&jE<2-)xQ}61M*w}b3c0arL1!7X z9BlG^iWX@LMsKuZDHj^27NUZ+p4yxIlM$7vgDhat>){?y&<7zrgp=>DA@rX^WS?Ul z*M<400zR^1qlHSzvHoJqqr9xZy!_-|HRU_XcLIoZlyv()K_Gzj8=8z|EKuhu039wmQr!GBhzlUK zIN1lF1jraZc*(JrTwqCPTU7z~dRV3@gr5SSzE5gRu)Z^DF^$rs=cX-O`!E2T>^Qo+ zUD3yL+EjvsJ1G<6Mqo^>FSzi=rjHflI2rQ2JU&gn0VF&puLBxxL(G6df0#U8o?!J! zj6~c=7=U_y2!k~yj-mg^SjNVbSq}1E0K83)9g3t?+`@YpTQ!)-#*UklxFP?OVtKZK z0Nmo*g{AL3q!H!uWhDRBT%r@^T zg*qb4Rs$(8L}kkPGJv-2w4!aQfJhDA<=DJTOw4Tq;vJx_q;$90=N*8Lr!X^W?a_7; z?UOwSW5%(XmUFDAeuai6Ly}s9iy!N@ing%oa}uhKc}0QD)V{Xz{(3(s*Cz888B8mSh%g2KQ+b! zBL+rJ20wd9H!<&`nRz6C#nsDFKwAr>Lct16RM*BxW-E8WPsc+A7c(m;7#YD#;KZEZ zooZ??(LOZB#wGy5{P`@G_x`)q8Wiin5`Z+~JBVgiSrSF)F}C|?X0`<1VXoTzW=Pza zbf38b94q>I_akB}273*UKQXX$g zme8`uI2y-8aIDIhx-OWx>Dg~{ZiWCsB?a?-m-XOozS9ntbV{p8c4ZTHqZQWI3&ztL zErK_Oc>n-F07*naRQT2Y5z7d%LJ$CaAIUeJpjq7-)RGS4s--_`_5zs|nW7>|0LzR? zU`u?v;o6^CAI6>+9<{4|@5+UF*)3XCZkFao!Ryoglt8>i! zT-xF{=VOjpNRr?E#I@{H{BSzOIgj}eEG}EF_;`ZvbVszS--~-KpVK@3P<|N)^Yf@| z#pIG<{Y(WD_&(rZSR3YbaoJ0^XPG5ooA3QE zS^xf&`+4R=P6DE8_?l+OZKJ%jtL^K!5+JmjY=3{pcYeBm2Jp;%MY7MlZW|SCQ`Fyn zRQDtnRol-_G{pni*EhcBr{6eSf0o}d&g>uF5uf}X%Mtnd?&7(f42$_-eZB52an9|H zXTs`s=l;8|cP;QkY5_qj_hi@L5etA&&;&09zd0Hu4+qWUB|`8Kt_%-Q1bQ$=sRSjW z0sG+sIyakmS!<;m7D?u!@y?7RcvC8-r&G2_H+}cMEqfIk7y0Rt!;cd`MBeeJ`&MUx zP#!NZ@_Ivr=Y8ndHImR5cuhGcR(Y0O7<>zhl1h~!wDxxn{IRge50#Z1viX$}5(A}h zFElZC2?%AbJfl>eA-f!C^qP`MF6mh%OeV}(g|VFw4dL#bg-TBjx;u}h%Ec#AQNB!( z2}%RH1#2EQEPzR|%dm06mBVd61p36;rIz=EMMOVVS0T z&*d7a-erOp*h`b3aG+cXz~0uj3YVWqlCLMP zQ>TsK24!6H+#4XC?FZmx-A!xTo1gVvZ4GP8I+k$TQ24|(EMxquqhWG@a_a$YJcVG{$7N^-AFFK?y65ne zW30_axaVvUb21eioWZ5h-?Qe)d$uS12{AQwd0L;t_f8yRoU5EckFAp<`1KaC3{|?D z!T&7wh`9*wujh+rc&i!G4udJygIz)rz~5-8HiTEWfCgCrm{f@O*in%=#kRJL7aw?} z&KN}i&ee!>{=9ciJ@%+Od<8tHN_!pVZJY01K6T_GbNWocM9(lC_+VF}1?3UM+tBWU zvrA%j)&L5%Zo8iBHodbNM=<+j1dD6NoV8FZWEJ%UT>J3lde4Gg37OPX*S~@}{C51W z8Dn#-2Dd2kPPLev5xxYTdEB7FIiH{mNo5B?IVcXmnhcyzQEb)?tP-w>Ln>j8wEE`8y- z6%1hjdHhme-jG5yz|Eyvc#d!WmLv!%&&`QqOI*1wb7j`+_r33L=XtoT zC7%^z38_YeZ;_zYa!^I+6?}7%T>JH^RT?0>A_UK3|2|7A0QTWWQLf^?%Omv;x1z|v z0vv47lEe(XF;R{#4sG8oZ73s-ZnHz_UvxP4u$-@$Kb7K zKDsvO`Q2OJ_?{QhZOKoO1YuJ40Jq;c%0jD`-LOWS0|*M*(Ii1nyDcb|y95ErKprCa zD30=$Q9lp7E6(#hmeBltzE@r^mR!C|v&-+!&$4IT>O3dSZ{G4A^2vVW(E?ax$cAMg zyq?1;?ln)#z&N))zTXtj`y9_(?iufK$kzc1oA>kKf=$h5Fh zHDBN1c=_G`nj|m&&m=ki$4T4Na#gduS!qI1RhbqYFb2C7c znv5LCW|hwrbN`hDB=;&9hPK9P5chZNCQFFzDI2wHLc=!Ty39lmLcEWAJ>6fZ8>ov< zXd{Rq$SMkG9hwT|A!fILOa$diCV+#x?gRy`Owv!=$`QGs-cOQ9T%iHESQ)>goitIC z@!mQ&>S`zMVa1#QFwAsYx`hB911j>qW*?>wYJ5T*tqB%BeF*nH!odZWKP!k$S|)i}g`u zfO`^%#tyqZp*0{}W)SpB(_yF?zf<13qOaCd2w>W*s-Hf(VTHw8xUay%usyk;A90P^ zK1?1hM#;OT~I{{P;AG2yCM zG}U0-0-6u2RscOTrfawhuEE$r>BA%e9>OTjpm-{{lri_ZJ9Q)nEd8Q(E8tlPOH_O+ z!cS8_#+%xDi*6H85D<$tRSR<3#r+Af+Ah$%UG$j~me%!yR64z%lrEsE5ZI(sv?u}V zRxnlT#)PuNJeda?%wX@dnF12}SyY#MQmo*#hzob4k=xZD2}b!J2Z!_Orcqf2SgG<} zHDebr&?}gyad$u)k$+y72JtXli>!xpSoTSPYh+`PBHfXJefU}uAk=cO&X}Ieo+h)!OI(dUNiGg6$>GTo zYh1=ULW3o)dljbDv95hHm#a)wmY4$IH7U;ktxdta=JzP2UsFz%Gz11^23y}UZ`W$a zjaynmy|%a`F0&q1nz;QX=1LbgtKV1Z8}DhlO&&0QwRUdnCKqh=y8FtQw(3MMoRkB| z_#j(g4rL!@aG9oOHXJE_mK?7z?~N^PMOnM132sGk12-*yg7$URPY%hbEBO@+9XDr; z70-LkrZCIMHvdw*qPTGR&ivIrR7^1$GOx!LZJusr{Ej1Ey`E*BJ?#5psbvbw)I}M& zKV-2yt1)gc4%zKD{uNM^Y4sWFW!ws7hnGv>jZbk8?+mhtLilc(PLqtImV|^{*~;WaO>a3>l$qEt4%1?Y3iE=Q7`5vh6dw!(=Rr}&X|RnbO8 zzeoS_Z1gF|=u@Ae-*)>pvhk&!zn*r_75C)lVlUvkKZ|$zcrkW7SB$43+X7S$89LV; zH;x78iutG~RgBT%nY-g%3;fVp;0V`k6ZYXY69l=RQ#|Og=l4)vA?De=3oJxBgQUy6 z=|XQDV<9zz_85dkAqxa40K9n8iI|;>^Kq5@@?&wX`0YHr>AUxBpk<-d{2KWy442Pq zvtM>mKvZFMM%=Df(3t|3Lulj|oeTE1Yz31>3(7Gjd0tKy3U+hyGjG=c`AF)_=3rcL zfujnRXnNz=DD`5Ydu@$ikx@a=FcDEU7S>c(i@4YqxJ%PE_md~bA}!d!%4l;PVuh3n)P>0F6!{R*+P%Ra;G0Iv()<1jR3{WE#=(M z2J+&&NpO%VQFr((`rFz$4&rD{V~po*AVJ1hY~sD83=LPoa&4r0%ebEd4~F~Mofp_< zZ%YDnVa+#Zqb9E^U?Ff-QXS#Gk-i&103KmAyCsI%2qLXXKXpbZ+!9)%vi=b?u=no; zpfYG7`My@ax4m1?d4(4pJ*70KjAJ|l9T0DPfjnpl|1xYek^!D$CLj;J25wI80p8rh zo$d%wbitTpoY$2MleE4Y0(x8kl8p7BWL$F;2v~BUt%#!uXt;-BTyu3lsiC+w>=1{M z`6&;o>)RuM!VmQj{|el$;n{&e_$_a$TnU8-#@7XNbDsdo zE38s`v{88m_y(vYpIoND*IE;@_7%zbr#BnVE$Ock@k6s@VWIs9Pb1GehnG>g)i#m^ z_jf4SGlbC$u&mBQ9Y13F-pw4Deq{{Xm|3gBhP5UgD+WI zs1^5RK(l=2jK0*8nx`2w zbDhvBbH?U|zF*v+s9u}vj<(JC9U~{g6IKV$Qmf}lxBjDRx$_eXU#bhEK%=Xeej7OG zlWqkLUOUJ_`PGC#(MxOOj)K%BJX`f%U&@1?k1@!7@<#!jIgEL|%e2>|>oo|qJVn<0 zx-m)TTMUL_JR4SEEcIh}o!S_%ns7XZ+8Gb9SSC-GPx&b`4r?)o8_x$wN8#N%O`#vc zdAGQHn~VDj;3sY(k64bq$AWUdQ_?aiGxE1fY=C=QmzU8ks63f@hJyjFOWzk|!l6-8 zM?R>st@rOHc^99t+~%pP%K0hJGlk`sth=r&oA>xU$l7!F`MdA968+zju)?L)=+o$5zS_-i49YmkdHX+4K3|M;PcbE8tlQ6y0r}W? z2V+&fjCqtoRs-L=3UMGIte(H+H)$yv$l zBfV-b0Ksq_fe-D8F})x*bmO86&k8%WB$Wh71;6Ps1;xDfXfC_I&Cgs}$0O}t_r&#k z1s-LjV9UtNclZWM>B_-${a#oLELy+jU)ipGj@0Xd*mkQ<3t(`QyllZJPjUOlzgqQ(;sE5a10JLwC9U5f zDFl?8EBr?53tBjsL)s?5};|5tbpMN9}8r5D(~< zV#+Si@gBY(0T4>SZrkK2!^$(pOPJzvX9Z=V)l`G)bzEp}5pZk)d-I{q_yFu`bO8ym zmZSdeKHV0v3!n< zE{_=-B>`KQIr@A{e^nWCjPN8mrNoTu5`7Rsu4#h0ZcQkre7lx!8#EzTl#`Gd^ds6~ zjPsRlCZno=k>oW27@Pq*+fF89{bk8{&zLX3!7(nThA^ctC*wz7CDUOYi&oCfae0cC zH!6@=&Yd%^VHDI3*E$j{%>YS>d%A71yXS(P`~?)le_6X0^Q*Y#X{`p!`VOUNbF@D< zfM$aOC_VaO2{SjvYP3T9g(jAvy2C8A57ksGtE%>1$$DpHD6xk4Rm?Z6lf5KG%{f8Q zG}@QntRMDk7K=~;6bz1nC#X>z{4!?IPEDX}m@`@dZg9u6RXgEZrVX)y%0pHm7~u*6 zGZ3xIId;JMGtr$V^FWZW4ROC4)5cdB9Nx52GZRII+fuvvSu))GE!Kn&2-g0Lb?Q}8 zY99kq1MtlU$q^dN2gI=)wQ&cwqd9+5el}T;F?Onku*@RDu&Vn?KF@A?=G&YTe02X% z!?{WR*9AZClb2)On49Qbvlaj{!qit$dEHAM(AD(q_mEuo&uD{v0CM%$JFHdp4qDN6 zY*PIU0f?Fv zc|PP7OIS_@yvE3JOT5ctUTym?l3y&x<%#^f2g_pq`7!SCKF<}2-|;Tbk+=0Rzev*GCYipIV9tv4NH7zDp$B4k*RF+|&$e*yU2^ql8pCNGzUYfFR-XzMs* znrALElqVQTn8*(`$w1luGH=01)84kH%yk&z(?$U<+Yj6qIs%-FamCT+Y){+YWSwK2 znJ4WN%s0jCe}yrE$nqhQP!QKuH?Tap4cHV!{tGS zD5Q0`uLn^0V2q#?9%_tImbymFs;vE(Trtqy>gY2tqAb(w9GOIjT*b{23rl1D>Xf;%A3XjWKGwxmv)%A~S;L1(Y+~i~d!@$}Vzt zh2lOyJZj2&n8TD=Mb8nId1ts+KI!0!7X{olo?epKM*PsTxSxrauiS&^E-3pR z{JjU*yM{43hu=`)Lf*o$kO7Ct^x&E6O7wjYUy+8ykX}+LUit~C0rQ73XSrFQQs*2E z6-u{UhxMl3iZD>cpw4rYr`^H%4^9nScN~;YEUmg6Z*XH z{&VftZ~fDLTOjM$B1ckg<5<_~Gh$I-uDWX9|Dgu1Ejx_e5<8Of_@)B9p z0C&-`obs*!0evS;Rw!?pM^O$9x-FX@>vqYML{y177 z{O?Cmiy3>hJ5|}}w3I)^k9r3UH7)vd-`Iu#(lSpM3=#^Vjpen-rISGoW<#1_%}M zXaY*;Ds_UJQ8k+;Y%DX)|40Kil{Ue&;}^uGfvJtrFa=!FXS>9Y@eJ1xEv!QrOQCgy z7H1iPO-)Y$%nrvk;GkMkD}>A?gzn3I?|wa54?QK=ek-0Cz>RLOC@Mij)i>u5wJ-|+ z3UyYuD!xv)xGOMdvVI-6FvJ@)ylf3)!yTSM;6cQkcG2uBU!d(ahoFWDq62G!f)xNq zR&OnP?i16XcQ%0-fPft=lP-i}4PxGybtVbeIo5NdCSV^fOjj*{ynU86i72ksU<_nj zt9;+UY)p@T%_cz`5s*2>RowOr>K^eE4qA8>?;HuiQ4WCzPPk%mp&?O!r zj0HcnBJ7Tc?}ye{A1fXS^CblSGMHq>108dK%Y`o4(Gtm;_SG#;#N~tfnduIPXNFJ; zsX(uB*Hk2B43s3kGCnZMvZgJU6&Nq5q6L~!M`uro=T-&aXdr0l0U*+r4<05zrj>!V zB8AqlBUU0gc0Kckz|29da5Ks)wbp6?)RqCgz;BWbgRHFJ!U~XNAjl=Y1%=}vAeGQ0 z+cNLGwv~&+GBT)kM{*mDMDo~lFER@?K}5#lhS-9u67B+VOTYJsl-iz@&e z8gBLo%1 z|68?BDL+aD!o(2E#%c+1<<9JHWqs?kV)w-}#i5cw`F)}f+C zBXjnqI{NHu$*!YgGH}$jP;Jeu7iHK=0-bg-48E~ZDHwy4hbVB062%IEL>0t>lE9>+ zvCP<9IqxRqW8EcWxP40;%QuqmmOJxk^0lmeab*3oy>!=F#v;$Sjwu?wCIwMi5t^?c z+<^W+yyld>3Ue(0zJ~F*uEY?TD zGnNKuHxJR8jJSQf8C?6Wt1T@FO|E}q=6H|wpqLrgZh!BeuEPrB+E9&-n>Mb0zDsIi zrMx6AYySxAMl`Wc5AG$s?LpEw!+{b4lldNQpYrm5m;4nceKSWPfxUAd0Z^U()6%hE zSZ>Nw21i#bYR#$fD5xVd=u#vjM787SxKN9~wm3oP#9EIV>Nzn7OSnj#RzJtJSSN_; zVBVC+FtlPylSeRo4xfCi#Ypl`u5! zQSbdS9r1eVDN`p<8Yg_?)s7-7CvK1(ccUbaTK0nC7fj5AOf%iLTzTom{& zz{5E~3u%lB^k7MVs95NuG|+jhXhpbTaSh=*1Y8*!PyWkPxHQ!w zCoBo$tkr|62&*32E9!hzhWwUW55^2{4L?h2gP%|hiBZ}hIU*N;9q3uzgl<#Zt8;0U zo)R+R1pfD&{45i|1WgQQ&1+HMWRuXM5(=C8s2FG;=C|Hjg75JHeH?C0krHn4XrsGP ztt~H;R#6s+aV76)k4FLX_Ra32FKK^)D=NW#^tE*`QDr0${PPQK&cS>23Q`7mN*ye= z2|Ul+Qf<+}+Ug$jCF`efH;M9P$T}d7d|t4zJ^Cn_5kqj=eZl_A=$bx;*I+_eCdQOj zp{Gs29{9EvymJ?Yv)Xo_qIIAG1yxR95hj2&DD*N{x5O7+;Zf$+M15AY;R4?3f}cb{uP!)zp_eDV-9F@$>;Q5o93%9H1}& zgixo9v2s<5q!DGhm()=%tuGz{(*2IL!%!HM8yQmrekxNzmuJIGDg1T{h}fV$^U4U& zi}~MX-k_8%pw-rL5U{6BP`d~>0x$(zNgr88MkHn>w)cklwP2kST%FNfbMjTDqF2Z* zwD?ojlSbWm-NWP&imu0_I#$XkVFJ8q9SV0%@2fljfCJ-)?K0roUVyxwuMu9Nx&j*%_h;9$qt^E^s@_(oK0;caVE+6#OZ5 zXMMppRtB~*PmEnC@G60oSq<`j*F3H{M;!AeLA)8fui+ik0k%Fa;JPqfsLTQXt9&eK z%)BYqwRkxHqpYn#e=3vE4e1hD!TcIsTJ^UjEew4|zDM7z$|9q4 zEClO5&l4#GSsQyW3eK+qgbV={L#1U^8kM%U3*>X`5_zS?fZu#~xj=8-EV;-hPd*nQ z4?MhJ3(XLTVUSttIVMm(Um=&8!sIL~hl~|6AU~_={VqfDjp*k)#ezrhohsP)F7HvX zGI)wS|LiT-{*qtteU_EyrOl<)Ewj&twIJVB{PcTxhT*cY)%_mUWNbGqKVh+E-2}dk zDabGj@K1|C%W^&WK0WvNar>K-r(Rc#t=K%`dCD?HY}Ngk{N5DjUeE3y?C%%s>k8KnAU)w%_IhP~)%1^#5yxt}|V=%_Z?(h6gAB|_d=8rg$pDTWHO%gH2 zA4{BlD`2dS7kcZ#&&sFE|DXSDlKj8_Rg(PlKS$30DH;3$k|gn6x@&30a>)go}Xe%JdD z5}d-dXagn}txAZIVsDh0(hZ(gJu==ic0%c^4#NC;xI<~fmJx&;w*r+Rgf{msXYTae zgmAh9@HFeag!r34SQ|LI1UNVcAX_9ai2*RilB`w#6ec)xWufI@11+b+3(9;x#*^eC zX`ce*!1xX!Jm$pklOVKx)w)Zu3aaC(WC`I|r{52#*Rvz)P9f(I!`dVYK6ELsK;abk zhLe3n3fmU|iVzdMQSwFir^Jc}lo$avV!m-e+`$R&lUepy0(6#utUx^s@3oRACnJ~* z-EpGbhLvDjFb8mJ(x6G-Y(a)IbQ+o-*12jKm1i zDilHsE}#t2w#KDwk(N~~cjn`yH-r*E8|PAPER! zd6n+L$TH@(X!b#=GKZ)G$Cw9bYHx}CCJ0H-W1**7Q+}U}sPh!f(-L(r@g5b}7RN9_ zjPVlS@fx6YLdT9fN6Gk{I4#7E&~3^V0)CCKXVoL(32s5c-3ER7K53x~9s3Tes>b=_ zphPop5XO5C023l15@nh7P9s)k1z)hUHq0Q_oF#zRDq~t2S`Ek&KxZmr!uU<0=r%i+ zbZWK>5Igj@OdK^o>u@t$+Hl2-<_M{3fTb(An=t~cdGmF~_oBPPJyr$RAlqagLR_Xp zZA4>fh}mjIxRMHgYhq&X{^$?e+&)4WB7;$~VBtoT@6;pW4HDb}dCFx{D5d+V8XBNm z#*Tr>>AH+@GU%O*C-pLDmkN0K+EdS2WHz5Ip$P`q6LE zXM7jT^d9F;TqEybBsr~YM_|-@cgxGAyL8tAKiC#HZuOGq&`S*#&k5c&CP)uke6O*W zD2`qN7<|+1qc}Q-o@ynB00w%P(ek8=wZq}y0RnA!7X z0$SNA?7kyK<$5o_sUjz23Ib{9bEJ&MQyYU!owNoBp0kB{j564HV;r#%BM4+RX zQAlR zv}Bw|%Vw;{-DKE@RHhQ%W&;pV#`B0t8f`(t)G4zrKIIV$g{o{(ga!^kPEb&f94vAI zsk~3n(BFjx*Y5jn`d*u%G zjCYw=$@$(dpkn|M1O_RO^k7*~&c(NcrAg7q(I+>({qN}<{h({m3NAQ-MA)zPpx3ct zQZX@1YTPIUYjg*jm0`DtK5LTB*S)CUvJqB{kE}lnuP@S`SyDOy{ZD@>W7y3zzkzZw z4n~iW3m|ELpQ-AW6#f%pzPKe`Rn-zv>q7av%>&#Z9wo!>U!%PG3?KuGP63D=Wk?@J zW}BQ%TS*5GIfny4H|kL6fLuX*3369Z)~%gPa zIjezyvDd2*d@IIfMq?R!lSje@F-I8%+CX=-#prjvkDK^YMRH%GlOpmAyqz9*jOFM$ zY`eJ@`(XKUyzy*24#V)2t10$|HFlu_CXCp0`a3|0Kclo<&_vQkaGQD`OCb!P*i^Bi4;#`te@u7`!!3aflzTsg^@ggIg1#k+{Jw z_k5JyEyC+w<9@*=mWIgRd~Jp(tMB5Sm%Inh$>({Gw7r0+WoKB%`G`m8IiB|(VJL7(dCpp?G2*!lX ztBKIPoo~`=)U^O*1kQBx&?fH|Oh*SxDC6QS0JNqMs#OS$^Me-G5S%0RR4`Q}*GK`w z8dR4hbi)@LYVcc^crua38z`e;7(U+F_)=Yv;I1V_fQ}Q2r2Y-L5Z`a!!37ZU{Ax(T zUv^P(sonz!dl`U)?f?z?UE#R~mU-=SwA>JWYaKI!$~i{^a0ZcB!82#Gvk4CfWl{}=)Km!ol5 zSN1r^njQCNmOg+)tk_y!{>?!%xksBElh=s)+{gOu5t>^YfTJ(m1Ud|fHY=U3IWQF*i8ly zf1}=E^6IB(N+CfX@;-qE%cnb{N*+@|qHwM4I%z`y$8sN6A6S8vCb(yU02e&1GiN&Y z=1B@@hi?=DI|JY`MxmG?fTV~h6Juw?SW26m+mmYIx1h#^9nSfu%Sd7wY$5PV3y=Za zlt#=$)uIYFpD^@L+tgAXT7)#b*lOUz(E#s+)SX3VVtjC}=5GI>I+k5k6M6c@;9 zYA)YHL(?^7Lmz5An1w|z z|K>%^(Paw_=Zo{Ces+o*E)*MjxJKgK`=%4>JEGn1Va-~{%;Evc6Iu=zN~mwkM}|p| zP)1LX(0#>uwq{ONVdQG1b4E2xJ((@p3sU-YnLc7(JdFKM#*rIXs2Q>@VRS+aBbOA0 zlp{BYc-G5c)`~G-bR+F+8%G`-BAH*2yq4eNeO~f-`3xt_Ki=W@xPj}wkL9RfDlZvd z-=E(ns2L2f&sxqLK1KBTGW^C z3KXo1#w`Jo7I|>(F5R`j54i;d&h9n#lNW3bD)0$fO|klcy3h6*X;>znyw*u)7@sCq zNrwpkSMWp0@>47a7k~i=01ePJ2(v5DFHQKRoE_u&+b5jLQ-+Grt4jp|{XkD1xc8ei zPEfj>qO>zhE{J=$lE2$Y*;3%7jvb5=sxs(zzHv@|fUCSYqvbR3?D_)a-B;%nV6zPJ zEY))T;2PA}&Resu8zrRBL}4`uUr}O{Lj5i-s<7lDR=7J4q4-V?Y;}YT=jy z$OXL|I|uDbv%ayGzeoAL%Po!RQPLXU!!0LI15}kL*A`kR5(U9AB^Fh`L-`cfiFjbK z%dhup1`tyBC^&?~Yl*x0zf}go!;0)pDZo`&lgS8^R7ft^v^c?^5-0YCA7fmEmERIM z3Vgj&Y7Gs&7QBQ}H9lT_aunYMiK=t>B%$luwXw1%I++gIqH37tEdY>LS?( zz(f_7Q3|1hMUj0e_-*nz$FA>QF%Pt8YrF(7AtX&YIz-tRS`=b(1}|I2L(G&lWr^pX z6_ctxdlVLujp-vi2jQ+5KC!d<3^@V-OxYNBwrjlRwLe<>3HGLV0a^omZIVaHpmq+B zbP8xg2ohp#uZVLv<$a@0H|dR@Bq`u#Yx0QvaJL%mLM*uwz@4T~@J6US18Vi?lLPMm zBHlMiUnLLlQ8Ol=`Q%vwdCmyoqN$ku>=3;6mKW4J+{8^%pX4XkrvIOdC2Nuvfsz%ob&WChGUlfARFSisV}RGg1Mok7-o7K=ic zdwwxIX>1x+xmi8m12`RF69nK*LH}};?~(2;8ZBHZQl#J)=|1@sx1|8&6gBy7C$Yu0 zOL(XCbdFcIed@>DP50@qHq}!G$?e=PJ?$eV*Ltzm$cKYp72znxatpC}%{M;9LsZPF z_?)zX&lKf|dOKZ;d%cf*g8v|2%iuN3ZoLaIRKOFlM$}D=-nI*X(t5(D$vfjMI{+hj zwVU`A9*HEcU3pA?@Y-6Tji16c11_56zk8pNKg;1i^rWYmfA!zM>r#I$Qsu)P9}U`4 zUP_mqibL&(*b+EiChmJ%8(-e{ExyE%uwzLvX8hwjeZS}Uv$af=Q}D8WNFO5JTr&3Y zn2i^CgCO%J#wrGJ}PeyzH=5uvShE3#lWP^f>31)t9x60^{j zX~3u!nyVi*o5`0Dr4OiApS&OPPC<$(#InHP8;R@VJph7}F(3|19U5E*fPn{qg=Ku= z8yg|bccCR(pt{tl)o`}~1+c-Ud_~?e$bzLsTH|Wf@}qjkDTpib)b(Z=re1a*no_L7{Fnlx{W#Z06;5hQ9%)SoZ{DDqofoDWUK4X4z5bSA^sX# zo4xy4pZ18^Kx?vj(k57yt@UAxyAn;;)I8mwT2}(}(;99m6(?Z>RgzAMwxJ%l1u3Da zt?SLojGawYEJ0iZB~oBc86Y0cA)tWyOh;M^F|-L(zouS`Q#1{m2TAq3mmHu4DWfK{ zNiG4Xt-BKhI56|N4!)1o(L0iEDxGtk8XBKyd&2*qnZw+_hr{o@*$aYS7o_kWkv0_s zJBQz3DFv7d<5FD@X+P>_+&Hj2AaIRDdIh6V zh5}s!5U#j3!@a5QWUr@FtXq2{#yn%;U}RiM+Ls|AFj&=^l`-=+H>2j5RV`a5QpSS~ zzhV5RGIFdnnR{9KRg^Bs(yLOGp;{{oTs`8ue-kcT=|@0cwP?#Q(EDZSPyowRPM3njE*`C z*{t1e%HQ?Qxpl!@GNP;2#Zx}bXvdqLxcQvxiDO$!V--pEVDhe3ft#PXezrv%)bij2 z{3fqO~&#dEBt0rIC!gku0d3{#mfj9OhlLPOQxmO&8BWfpl?Fl8=t{ObhRcy78P0qf2UN z#*&x6)hvBW*IZ?pmp4xE{@arEkol0|mH`<*=Ql2Df_c5|p+CTR`_Fce%&~oJ1GOrP zekl4hz*DvrWq>mOw)G{LM%z2ytefpEAb2@0tdo6C{ZgU@{Ok9!Iev?1JWOcsst02*e zHNd$H2@@Z_Myjl!rLlbPx1J}1)-w6}{$I1Nxj4O<%+pV{0Ia@-+kSB z(AVgmZh^Zx<2FkVN?#SOOWpgVgXA*=3GD+vnShuDj(SFlBQ&!BVMv-?T;DCZtOKNV z`kw><)f^uKW??(k{w2T)9un|80Ci12%ELf!Lys@<9I;>_ZOoq#vtD61%17-DmTLbv zIXU<%_HO7ev@ddwO%+VwSs)#sIS9|?006XEK@J3UIcQ0e52c=5i z^g@oX!oB7a&{}2QHcFG_P9H^C#wcyQn*<0;Zg3>si`t@ZCT#_gdc>Hb-+5*QFtf>H z57v!Q2GDhx;1fEy3#|a^H0J=AfIUlGKP~|1vJH`a31!0?{bGR(Z(^~Q#1LH8i7gI) zSAjQbPLC-Q?~(_+mLlGwQWE$B=R+tG@@+x?EyzbpMJ*ANHT_$^fQQ-#h&u-afrz;w z>9xfTa-)^2jlggDCClZ!^{6+b4Py_k6tHfU?4SPy{75^g^dG_FQpfr!z`j~kfS>RJ zMqXG?>L_c%^APiLUcI1952+uDi&MsN^9*1CUQaq)P|^0~MWIYey>!J|HZCLJYN8S~ z!Wr+ggKH?#hU;4ZH{FjS@c=0P1fHcE;GkY-#@%PM>6rZBW8lqX|mydM^@Q zh-l~17LO^Vm&gHLV6FVyq_Z9*trBAfB~!rzO*Vf2yxwBjAwI@SQ+ zx6G9}KwqIakiR4jQ5R%8Dlu1ij#UA07OW)r$P4&Dt~<@KQ617pmBn(MhlRU zqg#*)DvmSvlU;x?=x`?@kLl*o-%d=LFz9uUTF%+F((e{c9#CsL#TaqFC%GY}S>Byd zbYxW3lphAo4~81a@|fe-JWK!pKmbWZK~%3tKasilc$MES9VSJy&K1XZ z{4U->nUxO}`9vAG=JpwxL`K;&{&lGN31E{t#BX^O@>i3`x=7bsf9ZWeJb6Ir4UeAF znvm*5@^|Y|mQQx(=D&hW>f5LYDz7IWEx3683uG&Q!aIv4#3k5-LrF=0)p3_yU> zbC&t^|4Wje)0aQ{C*1gZN)GM2bk_nObPIr^f5!9cK%fi&EOa?1@K!;UB<7nFCOeuii)WBJ%XfG@yT9>d^aLDql~HQqxVwVojhzHRL|)9tA#CDStHOaWt> zQ-~d`b~uUFXceYNf9hxyF3yt);KBW-n;2{5$k z@8M1!zzub!I%a*1>IwbPBQ75dQ0*JQAJlcE0wLc z)Tc%1w`uu4@Abk*5$t=lH%`u(w`%|?!lwgD;ok6~0|>z2u`D3q>mHKiTav`-1%23I zoVSQO*d_MimU$u5kkTJT3ZV)=%ymhhn2e_)P_%5}QWwUpiFIm^b!yp z;JG)WZxDtok#-9ZYDKub1(3>0pA|!;34a@h!Fi;jfSS63b6PPATt;zsC?f@IHJqV) z->N}dL&Yx%46nW9O1}sE*PX1uW;%oNqAyC0Q7lu9VIVW6i<%pg>mB#60l-sYd{q2E zU2loGxTZ|o31vH&P}fazOue5@XE7ho=))l()d7Lm7ZGQYV&Dq-U19 z|1KK9YB4jum~T_GDNnT`1!O;biR-VUc4kS4>)`QTGZ?Mg@^`LT!vUNJ>~6S3bye~F z`=k}?-jq#EMGKiH-KlEj{Ju#o()I;oXMBd00@}L!2v80Y41D}2$$szOqEEB+#Qd}r z?0@kiViBGu%~!a2Y65HGZnTQq(Z(qp#5sZn?pd~Bs_L(E4k}4#EvakfBLKxC*199C zIp?gak*;2opSbNnDrhEwh5T$+F@Ih2V-Ax8WIQra z6~Q>iu2!3T5dg@rb51<;ui&jRFvK@r?Z>;N;VcWByqjFWmW-u20~}=13*uA-dSbF? zxfJVsy70B9Q8TbLHD;|AIdH$}KT9f0X*Z&kDf1PsO!}a=yrHS^|=QgRR*id>U3qE! z%~a5Kg;$g%E_OHYS@ro5eBqQj5)Zuc>$qM#AMzE!VmCS3J%}kM*iQ0&)7DFPk^|b} z0M;tsD7k;ugnqpx>B$6YfDiKvc~FdV+9+!k#wY}YR;0CyPicEB=|+HS0JXEubH+*^ zT4H@U{_Dh3tdEgnV46||C{1;*N-<}RmtjR{iOoy*n)vglj@0QgNstx^z#n?I3Q*Xz zKJ@vdcER^OcseZoI=|&RAkLP49zTLt#4AwyDb4C=WL!cVGRm{e00z4g%1)nY0cfnk zH5zgPbTiyfe1qa zRcufAVcXG91t76PK1=v@Y<`u1q3n;cIiTkl-nmDZ8Y0t#QaHEoB<3$fldePs1GOZz z-L@)3I42~i-XrO@bO>SJ9xVWwP-rA>UlZ>|;pM5B^}R6%Gs{8N7r;Sf1tS1DV+4NR z$=>h6``R{B0LT(byY5YmA+E9UATw_P2=38u^qFx7CxmH6ZyETlNX0hb@%XLcW?@XPf+%(z0r1&YDsyTT*nY%2-o9N%Iai7zb^JH~%im8SS*q{ST?>5JEuh9%k&GFz zadng;fvCxL09{mMt3GT?Fb7T*{nbvC{&CYoMXzN-tn129gH4mo3u8 z-XVeQqU~?r?)Tz&MP_PQ+;=Z=)dGmbzGx7>iK1l*ZsvD6Vy4neUA$%pzde z1`Cn$dY|&&gDQNCpJjq;uaAgrj7AUdPhL^>ht!P~a?xWo{Mhba=z`F|QRyRs)o<3?dli`5qT}Y~*6VFd@LhB{oz1Ry6r0p21t>c_a1Af^G*<^_bI0O69@Z>Ivu zxEHC?22DW1>Is^^9d;(HRi!?)APh}Y-1Z0xmH^4Tw$(vDW!+Gp`2m6%-H~8{T0QUc zU1Ekf1Ta*VAeD-zd?kTF-HbB#LbDSlPuDLM7~{$zjOh@DYytp^Mbl!4wrQuF>_0}! zjeZu?9%A)brX1}q5$<29CTdJ6_1M@hSjTQdosX9waMYmkEV@xPp>3-Z*6ayZxg%TyQ=T~;Z4VIg_YmupJM&>HU2=yw)k#&?2SBT(TwY_XEyT2gnuJ@srBIWlN zW1~3ju~-{oY~<~~dp+)rUZ zw(U2*3cfL4C3f<8{j0+D&g4(H7n-hxHCuUz70EB+P1)Oa-|6>Qb)qccxr9mXdbEK) z(-KATy?0euyyEU+v&s3rtPUCc6IAQ&#>8{d74mT^aj^x4RUpn%pxam=T^yl%!qp?k zGJElQjmtvbYp4VFD))PN3F9r_mQ*?nZxXs2#aCBlgZG%74a9haTYy#tUKS{5BNpCJ zv$Q^Z!g9=G+?4TXx4qBvUBEOgi&`VBys&zk0OV{9;A6YM3mTX~1=6ZKxQeutXQ8h( z-m%6-;}WgeN_s|LeZ)RY*a_mVjgY#n0miJaNgl6A7W3~bwW&iFH>oxFuQp((tuSq! zU`h3g@r#7G4A@2(iNx55D0Nl|HPL`SYLE4IPV7_(#os8*oOxPRKRj@(SXm}0S5)n z8}M%d6afyJ_g3peXgWc?EvV46`J8(W(Gk6e^5;vGULOML{^qiD0TBCK@C6i<|6$Q| zc}Moe>vOF1>cpO`;?}a@_jKF2sQ0hk&HNEWWc+V%Z<>W>fELw9Jt^x}+5iwKC5T;x z_OGmb?Zn$5TvB*UFXG2aoWk0v|?uY^DGX5n510oW=4;fmOdllE^|LsW)+fXAfcgwU)2K%?Xo8Q1~dTJ8fBp0gNCh}WQ7(f|~R zZzwpNDY0v%NSgrMrHsubU~dg8Kx6u47L3G9H0B`fTctgmyQ|8GGQ!IdAJN9qH7Ga4 zxb*j!wVB=!nr417jo&Z5w2z`E<#}5wT#YVKmX+^svj1HwNoY3by8XThYwRGpM?AB~cRW7na5Az+aA9o zArq;ta6gP9#R|*bX^DM89?)m=6gBf%e*0ZH>uV%}=kklib(hp)YqOkgH`4un4KRlr z^*|eX4$|!Ww(N=l3jUE>vpjf6-sDnY)OV2tukWAd7l7kqdQacsmT-20QPFW#BKAIS~675(`?rHyE(C0mu^DHUvM%whS- z;1?YW#dx6Yqdz}@`o)-|?;UF~zBoAk1jp6A((6xvgpfPMxcIBTOp>4e7k~eSXBgk5 zyB7GcTcEJ&v6KR2Oq+am>xUg;gfk(C7_M=GoT92y*t#61shxL*cd|DBB&}U0N99q5ucIPwg+N8@}Y{ z)K^ywnZI`1i{5l>(1t6t)LPYtJ_1I{3Y;gw(vPqj{LN$p&fEr?LCbkbY=IW;^wjK~13oSw`m`phVIe4yEup#QJ!`2aIepR+ zLHZ0(WZHn~h4Q#Z+_c#~)?A?tn2k>F%kJL&;#suJ00;-^-ylE%pv6K{_Y$ud|FivR zav$I<9nO=Z1KvNtl85+%#ui(j!8B+c#vs(Cs4)i}OoE16sGAamd$|WybIiR0f=Kao zbJ~1$hQ%D#hcJX20?S97Iy7LZ6n)QD12emY+7sl}imk#RuD$?x0$`e~K1RsfMoab> zf~KFeAei<7jO1~i(OOFvxm_#PSh{mc+s2Z?n4j;|b zdS!CMfJH1q$H}!+sUJ3sVVC6FH)1LINIk4uzN?j|>%|8Wi@puypRRsh%#U%lc3YPo~W^a<{M4#x@jTnLxUrGh1HpW(iQIa|UA-If$~P3O-e#)9#3I?c~mGXPk7 z{|0jbB!pz#oBx;l)nb@XU7M59;Cb%K3P?ygsTL*=S7NFr1;udZJXpM_n zW~_tr6553|LGDeel{r_UZlMkuNJl;r$z$8XZ7bt=L3|x$cI$FC*|yOvM?FqrJ{Uh5 z#h835D~Ht>eIEc2&7-xLpqg5!v3~nXvM*dR?$+BWEwkmb1%oK_W-(1(ry1h;AjmDI zQ_72+_e*h4b}~CxoR7KWFwd*Uw;NMTO`C-}DX)@=l-ZLh_L}txOF`dB@;>XQ+nuO` z@{IRPJ{NKj?%!ofZ+qNw*hVrPS`^MsU>uq1A4*a{AVX(T3wHDy$_x3R%a{OVX}^#G z(xx)+(Vo;vkWkBXhhNe6K`!QfDqUbd$}r2s+wYDe$AQOS)V$aGJZ~TSDGvGf>`eAI zZuNZe9LM6hf|dasLX_ETWcs5%)X_fj2Fq8>h4<-Sp1MnSE%1YB zfijc4fh47x60U&nWoVlPbeG;$AhB;u&O4KHZq|5;(hdt@o?5ey+2h)r{~f&2dGHh0 zr+x{gz2@RE-dgUX{5gXh{3UDB1Ofm5!}?LYw3y*V&ada1blc(PzuX0QZ?spzpurj%+mKELZ$i-D|f#Zm$C%Bs-djfm^=i~`#9-iZFboIadLX_H$0Gyw~$iksxzxj zUO<0jb;-sKzW}3s2A?JYXwPfU_}u{9dVmYZ$H}n!8?2*fYxo#JOydpeigb5WXwBy) z9Dp6|yvAi_1&~bZIj!lIbqGD`G;6#HOT;SHWezIAur-!(NJOHq0^Fs3dYB2Ymh0F_ z@Od-M0nymH84Cb)@Ij5qgRpM%ITKt7c>*{Qm(O2Fu4xaLRT zhvSM1nvr`hxS)~7P0z47-DB+TDUp>52@we8T04Kg^WKYa1Oh++NK|E6#|1o|`xEzF zea|`nBZ%kSP5ziXXZ&vylW-fJrVbCc1Q-Kz60V>=d`4 zdGbBZ`!(_%2i)3VV-Q=L3Jm$ZZ#u3aE_=G;f+%YuOPXY5}e{sY(SeP{g!slml0y)I88?W;RQ zlilWYHc!uo@~0O}E{`0{E0#)r*9cXlQp^BaK&8L5xECPdgm|g$Z@x3=aKFdH9Ob|G zZXWT+{5TQU{gZu<{gIml^vov`*8(u~zN~!tv(`iTtJmFAE>5rezU&rM|IoZ<1Gz_gF|ED!! zUKhdivp*!sZ~vzx`T76wVav}@yiK<)@Y8Mq2|vLB-Dp-=Ri`pKteO&e1y+A81dY*W z@N?YKnRGc00&mJp!-HkpneC+#^53h$2h zbC1ks87rVUeQu0}1-|u*Fu8dQ#K%>bMsLj;o6w~mq0}% zf+7MSbZAslKix`Ez5umYd(`N(6jhjo(wzRGRI_>t4vso#Hft_xeMWr9P%T;A&@5`a zpK-M&F3Ji3JwRjYeuHGWv=nrVI!x&v0BAr=K<8y2;Q`i!j;+Np3@h_zAL6!vB7*DO zd8eM7(vJNG%J3p@`V+U%13WrY#X)5Nkmdb6$O`Ojju+0Sr zU6ndqbKTm(e~5h9YZK4aRmAA^QNB3Gr6}VFu&x9+cz*v*(meP#SOvo|yhU<-5+w9f zVr{FQouVn-i#5fyZqDa`f~q5o^P%Lf>oE6F6hnt51sD~ka|G7beNZIZKrm3i({Tw$ zx30?Zq$K7VVZ?$cv4bVn#V82alzwEAl=J0ah?ZW0ApxejEIM8k+VDOZE0b-=G7-mD zHJ`7Q(K2tgybTWmNB(1zD5Ag zrNwN%6mUR8w`@u?tg&ZQ?hxpBux<8CKF!% zM&-{^Y+Ni1q!o*UJV@&4!G(kJMiEo~QTom2ucpWoKyU?(TSRKPh=+g`Bmh{X^f9vCY&Z(rvyXtrwp)W%4&pF+T&Y{PlieUv9yB%!`f%3hN4Sv|z*UFm3Dd?Hy~FtXiY&aJ!v*1B z|E6O*4lz#RPn_4P5?GHtsFCzq|0UU<-vjXYj&KIQ27n~Q!xCT&;7VXly`TfzK$CU?Em{6$JKk@~P17i^hm5L6|W(iV$hb&}fFY z1aK-%P&mcqNs>B>(1(X?=#J6+KPAVsyfv=6f zY0Fw~H~sQR3rRQ$h=pZK$va;eGyW62wSE=eQ>4BN__i5th?N-$N)_;gWX!(E7m!YX zP1l<<6emjnXm0`teOEmLGJCBbu!f^P@N_j?kK+G7fL8CxlWT)Yn4RIr%xT8Y6ql&{ z9@d`*plHv!DtMez)+!dKS~t(&s~&ZpCWpuljvFYh!n5rXs-vj&EFnQgl~ZIT74l#% z)2D)hbJj5XPb<=Jn@X;6q_Tp9Cc(jY8L~E?vCZaMn6h39a9WOR^u_(UJ=K#{8zs~s zlKTcGKecrVOcn@ZP-ZT!;5P@j$W(!}hfHLK9L5-|(*}KxC2DolMXo|DPP|hM8>f_o z`k;BBV)Y!k)Uen}D$Ap+M)P@#>CGHs`7m-IS^L=pxE5_6U{1Ggx zvYKab{dZV`SwED|@vf-kP1+~FN2|jvJ`FzKL!ioc0n{tItfBO)3sKnQpl_ws9T<5m zIQOd7-So8smO^P{d=Lii$Nse{!=X*C?G z+~dgLk@Sl{vJ_wWV_$lM`I_?cmMwp;@A9|r^#;FN)_5jcdVSXW{DfOketUhBmUkUh zKf`)R*L%&p%rihiS!RAp=ZC_h*GS%jQ>U;Z)E#R9@u*gTx*KIVdSfy_tquhUNAP`G z5}yA)1quJsd5Yiuk7-*7ph`~Yl}B*UcCwB0K8kj<|9-;BevT!Udboc&?B&rNhY?4S z@#MHre17x~oMZd?^uPab6_S3sO}8!ZlWu_`(!nV+L=85rKML$J5swZ*aO!#ilk#wH zhh_~D%%-vMT;ancJ5+PW|xt8Qm;t2rEYRmAzYa*aJ>@5B9>_jK$ax{-V9d^ zixcDU;VvAaaoq)cfdFe_gS|v!bP3Z|;${RLvz5KJ?{p;lT>~D!d_yza; zeKJ8KsJ>?P%M%r>q8&uEFgEEf!oOp(WaR`TyqanLiX#2H_3R5;9pN+&jp(cS0+Kth?#o21d?TQua*h}*i08y8&k zDdB8DkZ-4TI>lON0AYN}X8_=5o4zjD56!^LRh;K#-G$;JX9&Wfph5=~T)9KSV>Poj${|vySnbhm|!iBM5=G9a|Ibd)5-zVq&|BrrPJXUuA z7r#%wYdt0IVJkW8q1C(Jf$^Fq#zd`72FV3pvV4EE7%4yGE*(><&P@dvru*-b|G9wuAc|2o<`f973| z#vL5rxtlxzEPQm{qrSuBGdP?EbFRyLdjPn8k?ddkZ~ZMDI6|;^N{!kGT3Yn?W*b}4 z3fjrIL|!+r7UZ*h&bso9vBxCya)5nq(~K>(<6=*f5#+b7HgyXUj0;%{u1O>d5}F)d z!JN6Byx0}#4cTAc6O0;pny<^4`;dTRFb)|J^ zQBE0L-)-LBTT?d6`OOrrbSOuzMJs@K(_~#@pSJAjbhy!@YVmr%?X1MGH6bxXR;_$~Srq36BsLv)U^!P2)H>04Py`tvmQl z(g*M>&rvE|5T6WQrh?L=eBDX`coDj*4t-xff&Rm~gP7aroxg|lW6^nKx?Cju2FD2< zgzy>~L2yvTS1oZk8*4@ZdTqgGshhl&d>Pzho>D$Ftp}?G_rU+frUU=Q-mMn{IaKec zKnJ0M8WdlNHqx3dPXeNPGbunP*I9t%Z94FbH%S6JwHnqu(`U2+?iKO=QqU{NMz{v^ zk^U(e)62b^g>A)0hmQlK#tPVVf3MZz>yp4=08q5gl=yI|br4UWXtXeHAF&5plt0>v zjd-dS8g-KvQ{B+~>$I~p8tPRDXi>J)b!PPhI-O0AzRr_lX62$xo0`og?vUT}uE!Q} zH5FEFNH#MjH-@1s?$IduhE z#!co5{-zY*AT$I3pq72Q15J}J6Zpf8J;0a1pP<`1;v6!H=|49<`K(!0R6vWwP5{BW zB#rWBIb9s6!xVR?4S0CR#gzAX)YYg8;<}DCB*UQf6=gvYxBdiWPm~>LzO?E_4Tm?f z-{EbG9M`%;Rr8u;O9v=O9V^WL00*%)ons*h^GK28F$Ek^!sL7rYrzTpbR7#i$5fTM zu!d)QT`C{})`C=v!>RpQI}OmgIRgaay_4Dr@$UdWFTi7o5~5Jz9ybLCv3#U&hK(ly zlG?47EROtQ{Eer$UbU0&JE-RkC3cvPrQKwQy0jMqrsM!?J!6Vu2@Nk>1{hZP zVNSb7>_NtdF#;`fnxOjyM&a9(ulNp$m=rK%exf}3s@Xh+IMX{)XW9pFYXDXblI{{0 z$K*4@ZRVJB0;{L+v}5uN*^_e-hH*w)*G8R>w^#&s@JQ7eqkPG-ruQgQ zNarM)qBpf3yxE!-55Mpy1(xf`#Ok>DoUuk9x8U2@2lx*#kBkApwaRsm%E+`N^s|5` z%sp4VkmZ|x(9e1uGQMF4Pc|xWjH=94_}{ZTSRHrq?!=lp+GdPzx03B=z2HwP+;4ac z!(?nKm0$O|umDFfV20&)r4HX;>Lt~N=o2$UW#CrKlbOq^hZM?-)vh6wePULwUF0pQPd0TBYTKkAq(mgfqVa zJa=tz#O?@ay52$o1*>BAxY$yh%q07YW(-<8PF(rpWhYN8yFBAsArO4g3i%h$`Q3cI zhiBp=pW$%hTD+I9mN%#SRRWZE@m^D2|KLryFF-=-q$orl*XvPFo{=B&H&X@q6>VlW z0elI5S!S)~us^s_lE)BG6o?gEEZ#?E@ikrc<&7TyN#6AJ|CUw{T)2M zePy57SG40_LUNeIa+@t-j>q7OIVvmB^=K&2(w~q2?<9Hf-%)49s2?EliraMC0zd5* zz#(EVG6HJGqARo7&Ru=cVAP!pY#aZu$U;+XDn*Z#pafeA8oD~9DK>S2ArD~?I!Ih% z(}GEHMtc(z9{oChsfpTno^`l2jpd&BuS(3!-@@Q;AQ0;;89{ z)cXY$JvT@DMq;xIXjz6}T_SLA;Q~T8rN_jIn*cf;J2J0D>^G$qfkX}(Sc4Kys$4hp{^FWf-tqC|}%+(Li`!By~G zutAput~&nSNV-1Q-TF6xg#Q5pln1yN!0q4Yn3WzaHUonXp#aTpU8j$KOP%F72N8%` zz%T~^qAwt@CTLPMiD!4x!QE%?5Mm!-gWVUHF=^orr-Id4`vg}nAG4!elVmQx09^Xr zaG2Z!82SN#$e4Eb1PSw<{+j1x)Qx?n3kTyW&JPe=oJh1`HAkGUIl!ZC{RHu*0kGgQ z6sGn~0AUBWe+uV^SPw0*JQ}qxEus{Fn1`T)REX9~n@I+2T7H=H@Z;ZQhp8{0CEI|7 zf}fFSv|<~LYd)sxr>Dv6n{C`a;x=T+J-Qnu6#;Mx#3?Ldep@-bWUAK?!{d9nlsy6v zgn%9iKqmxnKf{e7)R6?b?qkaUCuNv`6_nt-1|SF{QeaL@_s~YxWv62qjYOH4&9sL$ zq46ID3IkLz4?!9k0yO(tTq{GA+opnuw!toKApn{Kx&XiM@n;FE4l9r;V<@>R><%{p&>U!kq~^blYhFux2FyaZ_P!W7j3 z=L@V~#&2-ln^SMg?Yn_zn0C7RLCcqOGpz`%FLR)390)Xcb+5AwU{I!(HG#EY+J*wj z=cX#kE-V>17+MaT622{z0eui&g=-|KGS@R)&92Dbx$KzB=VV?N>%E}f*sR8>N=Wd0 zL6)G(1)#Me)ZJ}qhw=7^+Q1NY?(8H3`lhkJm26|7cQ%{QPsEf-&H#L1N_k(i$$Z9@ zu9lyj_Ajv@Jjipt_Glc!ovnY3W$ja3j{Y-q5VvBpBV6)62?60AZftkg2pj?S1?zM> z+8xhWS8>}6b7+jvoEg&vv19X`K5D}2+YWu%Rc34|}j5KH6cr>1bqC$&x>A?;H7S^Tvop$n& zdADZW1AT>wW4ur&-Hg_lbE_jN#eA8tUp0yIs)}f#f`S16^BQo_YnzEF8$@hOH@aM4 zYue)uZu6Q$$Yo2gOh!fmSjH-dd1HN-J-<#x7MMfs0DRXO3^q&Gi7+@ZSS7?B2JCe+@W5o8cp0=lbr^TIZ=QCbU zJ1xD(wzhBV9LTX$xM2U1mt7a*$o}VJ-78aL&Z|p{&+7?%T}t_WNxM{0nb^GQwLw-NxPI zsQ(A{V)mnu^g)NgB<1rnovHcEeYw#lHQbXE3$8i-G^_~qRB~OC&zo1D;ac>M2&Umv zUP>>&BQJwj;=>|QVgb-CYPzYQfX6}>zzK_xvErn^jF;y1@ch8}fc{wcr4L@VazjCl zJX2S4xQSAb6%b)@|tA%j@}luRcl}SM&)^GS;=>3rtr* zLV2ksYZ$>lLTFxxPMEO4>jrkgLOAEB^`Btgrq_kYjK0%a&5yvxqKHJ4wkSZWEul3R zMHErl7{<`DHRw?n?*{Y>GJ6EZ;0_(*d&mAkQqsmw#SuSI#EdgTvZW2(QBU7*) zAXR_V)D+ahWv4*drCZVKUcrl9{M{@fdA!_6#sFkmKsE{GpzF^Dap)#kBbs7t#JBX1 zwIZi9UDPM7>k8pLOh0@9N@De6c!Pg}cW(ngVqFQK*BBoFyrKAsMO+ckOE6FntcWX2 z;{ghet#ua)e_~ws92|@=2>CndQ(cOhd`>GUQ$a;l@kwB~HeKDQ|}gG7CdDD0vY8TocwH zPet-55BDKNku%}ic3DHlfQ4ib@$m%ppuF;xTHY?3Sfq{!-$7i$HvJm?8+_G}zJYE= z#v>3fR2_gC;HB?2zo}M z-h6s3IGERCNr;asR+|clBE}(ZIG-^IXRB>wGZlEL9e6^3TNJL_xch|S##>Jp5DdV6 zi9&>N0qJjnZ2QN)Q^9Vrx0SEVbvzes~S*Cii9vpO(YnmiG4L(QnG`nh^S4 z@7J)##?5F2o^FQRYq*PSfD49HaHY%BN=13*Z3T~13#>zjr9E7dK2G{g_$rhY+v62F zi|`}V)3qp`gjgyBQS7h0BzcZ+K33pu+5%=M%nwmu?V%jn0KA-VoFQLo4`+aDcn(8x zw1Vr=D!fq~0Sg&G!5gmNaTgGJDjn###dgXUBLUFhKRA|90@3T0^$x(11$8x=Dj@DSbj<47V7w5}2fOlvu0qq=vQW9uJZhVJM76_@-1wS!4m<>l!+19O1f@ zvC^cS^mwHiwiXR?77b<@S0*X7+#9_Ih1yE@gqCud9RyScAq>(p5#qp$>zHE`MyvB3YA* z&$u*`P4IMrs>Tu4wPa&2oK?SQc)~yEz@S*wo$V_=x8zx8DU0|I*U=?~>%n z|HbsAeGE_HSgLi|_aWJoAJ`xH7`RFQ|CH))zp`bdb#OfLQyqMbg^Y-$1+GTY&Xo!M zSo!3`l>U!k&R*BD{%0^(GVP^-l>SGAM?Cdf{JP)4960aqm!6hwKS z7;s|%mlA{~c2d+W-7Ly5Spp*A!qI||=ByZMkIJ|i_o0fFOb!mJDJtP4o7F&wDv3XHo zE6*xMU0KXRGs(clJM8vW^-3~k*bX4!qH_u%`~ZsKyQKI8Cb$Gq4DncCbu0r4wWgn= zoy3^XodQACR|_;j0YGFr>Jg`r#dHlJNo}kBU93gXBt)aI2q9Zv9}*w%0UC&9O!i?8 zu?{MAWGr7yTFX@!A79}1;&(8R0)vmI6NKsG_*gX!JGA>EIHqXnht!fN38F zhG!ecxH3FE1Yj)%m>}?_TS8+yzQi17MQUL=*ub(!tHC)Mz9;(!FBJAvposQt!x(oF z)L#XjegFVCMniDBj^-eg+G_H9h}rLHBbZeslvfjDv+^-ojYqhPb&~=VG`Y!Y*;P8A zbM4d31Q9&hrJu%(ESbO5tJfFiUD^qo1V!Z6Rp2SYBk(=`ui=so&i}>vIhA+)i4<^Q4YSG>#+zL!js! zmnSf*Se+G#$yl5~skoCn$C>*bn2I7X7(Zq%e7*GuCM{JGXiHVTB6)v>F<+t$3r>3e zPcirV>R>DR{0K^swV;j9CPBV65^yyRS#@xUC54T(DU_yd0;+@30akDdZ){sG<9~-~ zxdl)SlgB!;gc6@Zd9GkaF8Wm;2HuN{-bgYG*;jval{EyQR;ysGC=C+EdLuySXDI+F zQw&8a5NF#94mxTolvhDaDW2o`%|x3OyI2yQLG_+$?MbY|UDh$QD0l8}Cr2zKL$ubX zxCHIZrmU&;|G*emsRH-0#0=R006+jq zL_t)WIQxHIewv&SLuF^cyuzjLxY@$REI>1st4$cOCTqu%F=&j!xd0huEa4Vd7o*nm z907vkRp79}zU6Tj&@DjjtU$VnDYHIRj5Wbpx`rFT7Ckuwc%HP-u5JJf0!9yZ8HWd7 zB;D4R(WbAf&rPmbzUKgck0%H*U{LSjj`t4psLlHFueQ3emY7cgC5eQO{cZBtcnEXx zPjvSV%Q{S5ALfUUg0VitP1pPh0EhDtG@RipBP4TF=Q+of=L1Y(N*EI_fIJJyM~lK7 zNOL`6ibp|$0pRQF5?#QH(s55UV?DDHZezaR`~q;{n%CoA4)L8bUQNy)Z*ywJd>|iz z9=~T>W0cK&CElIlz9)c0%3-}iX2B!MePsq^guT~zfYAnAyJ<3yc$e)$K5vr*B?Shx z&NSR>`{S%$Zw$hPcUKGDDC#dlAofBdqM?01s+W?$3a=EW!P%L~ClmUoO5 z$FR@wiT?NZX5!uu6p*oX^j`C^4PLWtZ02zL{k8@EMYVvj#1|~IDggE;PXOEC8D{c; zSi8jEn8|$en9o>``FXzj3oF54^Y`&7X;FhKz!JPCQdzF)(S_J%xaQM4g!#TYrSC{p z!eR<@t52lwPr*SgsIU-WlhCrma+T4Rk#<|T@Zlu_6*_*W^n);3Y)&jNDn(T^1&_K2 zf&sW>3s(WUUT-@^ti&b&a9S2l*$j(pR_<401k#4+&~t`vO}i-dyo442=eg0ii0BgLfIyFw8fLaRZy_grZ=DioA(U+5~ORk8P)&g)B;I2El!=8mw zB=G>J)vx2;%|8NJdPp)uv(j~Hnz^~8BbSKT(BiZ!_YSaVTvh)r=}Zo>$U1^9MUFrl z8T&EkO?B;Qj6K~?E&;a|0%%x$8Pj~$JVuVONi=P=IrGMNX$1yZu>eg;Sqku2{E8wA zE{>bea2a|pz&_&)ItFwp>b+N!mXzhGu_^I@gtc5_a0mLCu>>$SYJQ71ls=wizGk)< ziwyY;pR^8ud*mBoUEr&HzvCfK)xkmVQx$-^6^i5wV<|>T%V3Stv5EWx;CT+wFl!R~ z6hL(jfVFaba;^q|TNUZLl9c<*iCZ`eYfEM}!0fPkjO*DiDZ8MMapwWa02`YEwA7=B zaHwIJ6co^PU#f+n?o-p!r!UwT-f=>3&%Rcn{L=c5IYfIrMM=1TC1gHZ%btgR zVeU5p?`sghCDt^0J~`49ia_*jh@28@g}NN&LND1l$Ep!p^c)^uEcvqEpi{9<)MBwr zJV+V^m(KNMXEaHAO?Yg;sV445<&}rwO^nLZ7onsYeZsnV!&E_-*qEZgOB2q??-W@> z-^bzehTE)N@bjiAax;OwCd%~#j=ORTiO;r^Qp({Nb@B>)?X% zRH3bu1)grz*?(%uDFEZwcRR^yznkp91JnfsW30^+wj(fv3!$+%qJQ0QTg9z@EBI4Pr@()Ii34k!;ll% zGz;2T-iXgBe53%N7HwY7d6)pxD2AaI>^`?bpL0gJmdR69kpTb+C!^Ip&Y^Ts_?)pw zIr3ujyw6h68z<*c$T^)pKF7OaZh1b-Duxrk>8clK@eBUKXL+x`t&>}ub!E#-Y5A-) z!7oxL>qbSWEY}%Y@``>;@-XJ1;w<8YWWsXTU}~;dLPMFB`?Vrus}F_A^r_eXmEQ=E ziRT0zO)87Z5B|j@+UmFeb2>h32iscfI==@vXlMB$MZct9|Kk3}7-Bp*rX9-0By_Ck zZd6Os+;Z|mRqQHT`k~%)o9}H4yn744993ZsrYkH15q?*2V^YL2##ML4?t)Gdi@*w^ zVwBv0AsT2Qh=xqB;kLtG1#+;Lx#f+5L>k!+oP>CXFD!}S5DTC2x+CMaNeb2r&NfFNqKdY!X^Yk4%z zYHGZ}ARag#xZ+)(DgZL2`+ozG@_!~pTpe~Euah%el$2yvU@j{#1;rL1?BXFr=~qb= zt=AP1jn@#kS`xMTfKt?P0U?Ra6;^OqIW~^~r*PK?FeM)-QQutO#gYv0al{V02@uk$ z^G5(!gS743#6R1uCx1k%_&$K6AfeWT2MW_SK&S=k9Yd@h?SoeHvjAs1?Jwi|0FZa< zkAFzU2M0;>2<_x2Pm&@o{Ur8QSmTVLG_*Y00X*1D5|{1XIp83{y>Z1k=ya0)_Rb5| zgT^uJ@$44QYT0-Qv6m-_>u&)iPXQhd0XXk&{W~_8|A=+aUnNg_|C~HM|1Zg%?k^A! zq;<`o^XSG@zJt{tmV&FPy1n!xphe*-Fql1L3^~)Hi5A!L=gAb8CUaacjS)as0a?q7 z2aIvpa{6~vI7sGz4y7$D#01!C5Rp7z2*Mtw);@7^UGuK`7^aYZC?9}6w}=gRZ$O!t z7eQ@hg}LUSrDBn})Wk*Q?2LIoy@$fv4=_alnAto~lX`^}oUTb{%sJuo{Mw3Z0|4+2 zl-~@Mt>!6n6kv13oR#S-ax9)PHd#+3V6BsDgug3TN4BLl+1&T)gXB3{q4t|IL*Ub6 zB%Z5H8URqVO%~Hnh9}j8&(YW9<&^Hq*wz-TtCcc%FFuE9#*S^lRVe2zod;E?i{SHg~Qxs3XXWa4qRn6}b<43|) zcQQ^nnLrsK344=ZRRCySV|=O^7&6jqi1=QIsM>-S(T{U2iklZXAHp89?@lnEb%}6G z^PLWH&jmPWKEA^b=kl!hb(ylfT$X&F;7>g3{hsqk-cc{UZ)W0VJ2TKN)-f{Jg0S~ z{T(2o@>ScML(WtqgN!le{dtN$rjD5mJNn7Kjt_Z-(85gY`z+aC`Pgy{dHJ;|yW!#) zZnm6)o$)Z=J?3M?ynO$~`18b-H zzGk7dZYqXt;i4a#H9`ddCV&E{ltrNd|EM90p2zeV=x2D>DVCDPeOwcRdm-OXT~+=p zL0{L|3>ql99WVa5*pGyO9JpgP_D`(zisWl;j4BJQEqgC+S3==K#BqmDIsk8mXl z?;}_@$Aa(Wl)eZ%QQplQbi)(Sl}KW|K?T3?h*p7V%)9h-xH4THhIQfsP%STa{*d5g z73;kQR$g_Ex(FUL|A1@EadNi(pSj;nJyqWJ83pwf`dj%)Swb*Nwt}e$@h$LKz%tR7 zEr@-0k@B{?IFS}7LI{xGtcWF{vI#)o3G2lO3%@cJz=G5%=u0`E@dYzY#z-7txupfD zY_4FgY3f=7U|A98>if;Gi+*H>D+pd+7tl`H`oq zvEb-#w1x$sfcR#zOMFkh56Oc>y*Td}XyM7rdwTGfCtJg{B0=pBcr-D z;ifi#L1}aVK?H#u`Hq{>n0kD5&aEm~MP36w_5PRwRACJT`z-Gvo$gkY^J&2=K}Xvz zE+6s(-cu&-Z5e^ebVa;TUOGxXMr1@M@xI{gJo52DhtAt1x;w;A!4qsen}3absjB6X zM)#Pfco)qV{D#+DW;i;X z*-2_>pN;uw?W5&Zk?V6b^M+M46S=2@dx$QYMrUdyRNti1hW-)^CwG^nI^9-Ayjlj0^5dbKQ(>;4S2V25F`|UbkAtvra^b6S}Y0@ z>N-?y$t8l~G&dG^aw(|=7=QraC2ktDZXD`bv@IYAVedgeXI3zgcQw)eb%Tyh^*HDoBf9$C*5zqNk(_>B=zUS;(LCSe8RKeA_ZMQ1fOIe z;THFnu|TSme-rnn1^RD*<=_x-aNKGq#|P9oOB0y=r<6tE{tkreHiUGCqe(%)*8qzX zh}4I~5fjkV<>n_l|84Tk@!uwg-Jb&z{x*4h{*PFG0<18n)>BA%t@jwug}OorGGgqe zu?8dCSN_q3XAxJBD}b@;044wxr+)VcFm0H0T8DU>B~Br3ENUgR;XtxVxXmr-&O|qo zjt7A80)%K0*RQ%6oj*mmfV;^e8fcbbMY+~}7*yPz>IzlB*I0<<;NIUbpt4eziJQ0@ z6I%j{$o1fm{yV}FO)EkfLWUB%aD_RxB909uW304cjhv%t8nuj%fxBM-%nI6$%@x+5 zqr1tB!0DwvKFyEyW`UJ*pZJFgOD42i83uAhzdO}RN|w=poWgu*wK*k5 z=L*G&0&!U>6~wd@D?~L6VhQWb6d24`qwGam54x~e1uK6YgCJ7kW4@GoiU6H8v{QY< z62P7j$XX*<3j59aJV){`5XKqG$C^l6jBs1I#uaZtMk59R*SO!dX~fvqx^^ES&lo=B ze$r`7k_N6(K4xBPnfC)0z6Y!U=gD4j1XK3U0Co2ucAb;C#xn(ZtE51y+x}J3YJ5iA z&TolxiSVofAj^0gwNJ5HBzEOsNIX!iNM&ZQy423G>iR8#N~{Xof17>A^<^f*N_`Ye zj2R14+Tx78L&kuGpRs~)LH{98>1Eu#Cb)N6;YRp;3t?ybLDE6lz;*q7lkSjCh~4-c zpmNTd;5zYfgLsXsVO`doUt=}s@uo>;uJZ}Z?AP=?jLGmx3KFV?C`04*oN|#%WK{%;VYr97Gw~@w4p;d#um-v%=WxYqYRON8dEeF&tTMOZW$!+yGZ;{=9oU5 zefOf{l#dKVe0X>CgV&rEB#N3c81W@eIV98Mcqc{P96cT7i$8qN@_(@~oaefA2quy8 zYY{0!C=)E$Wu4w-J2pRoMs#F?naqJg%XrfyFsVxxll@@7{W(+AiF%o$&8VNr{<5!} z3c5wL-DC#s1pD815L~qFFZwil&ao7ILpyoDV=kD;?7F{QianZQ9CBYQNsc2s+Rx=7 zzT55j81o%5PV)SDF5cYzlHlz>06Zf1TtsP#`f#453mydZFctt|Q@i&DY?X|u`VYwUpj7oeG7wSo$meI$laxdKKXPM#K}G1D;J902uU5fwBqysVr)oL%}owzKHLaT{zffOXh%aZm{ z|MMI{&478>f6xX6rMBb$q_3xskD>O0KXH5I(e zfQH0I9e!{c0O;Psni`vwE0%UDEZa%Bl|2 zBI{@yOTs<_YffITN+lFd=fp8x(D!p(X*Ujd{>1f@&UdrWy{d8MeYG-xya+Ctns<8i z_ARa<`*8_LcHLhnL)KDU30^HuZv2skA3bB;MGhz55iBk@=k%@ge9qsvbjc&RoWyrf zvFiE+X(ldllO5LiL)Lx}6BEUX_Vv5@UBAqD^|gs?qL0kOzVde@e)~iI!TD!-F0N&_ z#JuFa!DD#c8@Qh>Es~;>jqNDvCe0rpp?73FgBFL<|ME3Vl>i2v!t!hKdOE+-+m5bA zy-!atZ({|BbE4qO$H-~rugCO9^KM$kpYmUok)QwPbnMus@i@6oZ$Lo(= z8DHVJxHi$ZSI5J(_r2{&>%yGKc~nTNL?djsIs5-ZC8zgox^01>Cj&IK48ELB+sj!!1%Rsn3@(YypqrBl z)RJ>BpWK&snyV?@X=LW~hX5VHy=?wL!0{vx2oehJ)o^oCMbJNiARGW#O4tb$R(u4PA-48=8U`Pru&e@8tfcNgJX6Z2wVGd-fc+5|d;AFf*?m(^LrE zA^sA_Lg@~QOVhCKsX)y3I>uAL-#%d45`eaXyT{7%4wga2fg~;?400R7y8v_8fDkU4 zPoAIzmOXTB2M}g`h#V!0~ z@4rgEe)j()cbk8e9N{bQ$&;^>PXE_fK>@yI-DUff1mFPGZkmb$dRQAS;TV=@v?Cg2 z%K+Fn+ejmuI&v;R5 zFi-v3L)_RNyu&U95C=3J zZae_BM|FbCQ~oIc&;&K3QV&KSYu+Vba)G*_^a#TVMVP)muUdL^aLHTiF2(O!{$7^^ z5xFHmuFK}(6oN0>uPhLZ)$}6#P zW61hBC*ELf1{J$?mzbHf4Hl^lEKfUi+~pFd^xra{e~bHFUFhyJkH3eR{GQl-g64++ z;`@9o;=3fRAUlBl9b9@&rbm2G0Kn=zsnORcAdJvz??aiDna69^yVcOWh*+YumrSpF z%9zR2MF8g*J_qz)P)9Y=r>rw`8F-aA=$|sKo=Y7-={6uC5y$Jbd&zDMcfBGD?~z>l z`&f>jupSK93vA;qg2B&ll`6w&Ib9bXvNpX-((-TnXMlu%WG;Nfuz_ebuAq#H$uaDD zBC{8Xx(h(Hd7byD1!s~mkr`wwiD4k~BnX1cH273Ja|d%IlO(g`vuyd73>bM_3y%4I zJ~B@M(zs3Yo(m8vTkE0_*&k2&%+*9wUbuacNQiqlCliRwBz{NUz7OVYlL0g@e+!aY zewjgJyTRCaZ=H6`*WIh{ecf-}uKJwJ-Ma#N0)%QHs+B6Et`+E?GX(>buS@nr##F~z zL|q*NYk*}13vAC(Zu>wjSnFWh+5mPyiN8N=p=oky$-dfF(Ql4}tnXrMa)bA?{l1V~ zlCE7Nv%BK<{2B6&LFR;W zF3%%-~Z|Mj|L8*ymj;z4~1b0s?CSC#h>uF6W8GBLwg&h_Wb@H5=fK(k4Ei zDqjg8y5PJ%$tU#L#Oe@#md@D2brhA#@QfzGyZ24i3UrJB6W$&ylXTw_I!VybdY0Iz ztm8tDFR{?40{2ps13r~=3!j0XTd+xcwFm%M!4d{`Bx10YpnK~O1T{1~n<$Ijg?>3~ z9gsgBdZ>VH8bFZrJA8$FlyMHNbKX}a=x;6IwEkKFaA}n>XQ36Ybu7p?2_wmy8!KG8 z&Gvhr6kb5gkR(|2+T^=pqsqsTccztj4wdY6^~ z?kn0vCFi)uv4+Coni$@OG-(MQzH42@Zu4gZwzx+0B;HngmtwGGjB{CFa3mQky*o_51x3nz) zExD$PP8Bl+ESFe6p6vcd>cKp}Xkz9V#SrLKX|T>(P;oF3!Ufy8u;dF@s#W+t@;C0F z{j(tMpkp9yb*kn@9B=kael||UA1w#rT;ah`d@T2paT|Vt_oZ_*El!$4`pnfKAgCzP z28m#+1<0t?X^DOn(5`AV$5_=Js$KD>B#0~6ChwSAE#}sl^16brc~WV;4`J0uPN4N) z3qG^P_ZbA%Oc%7|RY9h;Dr4D);;MwnQt&B|K|np~y`rC&Sa7XrUkR3(gD(MB3YI5J+JPIWc<=nRz%>UJ_n+NYz4M>wxjv1^iRwIf_5X8Cl% z_rg8|caK8%sIg&1q5^zZV&afO&)0Qi0tSi zc}9jwy4=wxF+8}DZGh)E^3K@a$lBj!9;hszr^?Z*1J-;zY9$ZTtSQDtvM8IsFD|_P zOH6aioIRc`*_S6a@^qb>Fw_ zCtDB%72L6u*jb8L7`<3a3Vp*Q6YzZS6|ulh06acQwop6yXzz>UTdaLry!ZE5|0uYB zNL(wedEO=If^vNCVbTO}n&IZ6eDV#1;uwG!kOLD8na+LPfzWPSG*6lK>h13nyK9|1 z!lmUIZcaaW{&BS7-k3N9=Vw}yMb&LLKw5QD`|3M^a33*vyjiVl~G)S}Ln znU9uwKku}YZ-x+IV}QZsF-*4_arfEa)neUGcDsN5N@jaWTL=<1a5I{mq5%b@86 zQLPC-Lh#?PlB53blile@Nq=}kJ@8>a!kuXWOFx*UB9@c7 zHL?D>8ofzcb&r$Y59h>k|{V1D^r6(GPw z07(HuwJ5dNG7jXL{tdzk<}xf9>6#K&hn2&dmFa4^D-X`ecQ>gX;Eo6@#rl(95oZEw z1ItidU$&sIS_03^kuqTa88IMgl&uc+R2-nWIKchKeu;5(j&|Wz(i)r)teiL!fILg) zq^Zc%_qEig6D0d55J4u^YO10=*1sRM6NV|=4nkgr*JJ}g;K zLugI|?sW%P8_ocn7sL%gV04d2#f8R*czw(p0)y&OV_B?7C;TlYA`~K6PX|7kh(`yYg7P4!j_>Je)MAt&hiqlG9N!|yTL>% zy9@!Lpc+h(42+C{Op>6So{wCwwYV}#lm}tX@oI7{F}c=TuA3wo4}qurS@&^=y?OYG z*f%&vxha?TvBkW=Xjw<|(c7+IR>WL{Z@0aot~V*jm3ssno!dTtoeQ5Uw_p1+XUGG% zyxa<}z4uRX(zd*4&#aAoZ?tvRpN_e_FFbEM*tUX)`PkF4IhGc#$6943+4J!=8)M$% z5Q=wlJ^FCtKJU%T3(wty~1CrG^NY!;)^8A^-*6U=vG?iE-#y11MaPuOqqD8u`T07Yv&IW5;nWXO6nuo850WKX}E%Jx6t;h_C3U?J9rB0!NY+fu7F_wWLJ+XNtQ zV(GQ6pHM~s$O>T*rh7>V8G&O>7o$_&8!{gF(6oKb(DqGdx%pg8g3jKnTTl=m>Mj7r zZ)ko)*yQU&0ERxC7ca|br3+Q+QiNHk;ZApkm0^o=RfuI+K#3he2bP_NaJc&Bmw!9H zY?B#vqtF10LPk_K1Ca%jbF0FuPcN8D=kRPRJbGActD>{F2W!jsSxY`4xCD3nG7FwZmeW-yTh=RVa5*Zb8OVuo!If zG4%ighbTeJ88A-|sXMU^r>sY=J003iH^}mAZ%P82C-=6J{YR(7tf${j1qt!Jg}c&e z6NcnUlJ|3s4Ua#_26Q)Sh@SxabQh}mwF_cm(Iux@@@ZU?u*%+mNU|@_KKTYS7@8Mow8?TP{ za^h_g&oWhGjCwS~$dj+}GdmYQn9%W_jr*>?DnLK$!6)Z6<2%n>%0ILM)spl> zrA^A}L%riR-`f^=uNJ6P@k38AT^XSovto!K9$OzY2zMduA?A>}DNv0?oj3i^K2Lsz z8-im5<_Dv8vOU3{ceom50foqsKw7VMu)tA}ul)_=GPb(aqMyF_YO#lebU^wm$*=!+HB{;pND^t?|tHu%xN=cxA=OnCF?hL+^{Cc=& zTmS}6Akbo$K%1|nV0(pBbbSUR#QjJ_)v#PnpTbz8U1_XABvEecMSjZ+N{C5&brDb( z(3&j*o+>16h-d++9H^pj#y%@y zX}D$wUgN4}J%-8YqT!1sU9m;XF4T9<0R~F|qucarxp_Z102u&#B!1XO$qxk>V|>6L zU`6yQ!Ty?d(9P(0Zx5@nUQ!wKlO~pe0)#^VBYS?xPH+q}e*!2t07Q%gv21coHDGWK zAiT9SY;)fs0Lb?|--F>daQYVr|FslSAn;eX4%AX8PlN9u2GBGr3_8iyh48N|NM$==!dZ?G~HVnnD093G4 zJ>8`p?tHctnlGYOiB74x2AJ6F$=V% zF-2FnKwWmn$qB&y-jfs7qJ12?{%^>Zx(Gn(n&O7(Sbr`Y743@agg<+l`Tv#`V;ny4|UB*Y7^0zufAJ>V3L;}bsaB{P`8KANur|9un&PN+woEO)L&O3NegqSST|{VW5i z5{T9Se)6O{Y2At)z!d5>RK*6zj#icTu{PGS^2bavFuEIU-Afq_wGm}nWOz&xwgOQa zKy*Ha@66Vqvp+B@Sq|I+1wUkfVll{`p}FFkc?EFdR>=@nbCRhU_Xfknb(_U zuXNQrCG)dv0;U2{0;}(mY)_e2%N_M3&sKKTA%x*CR zsO=G!gtU$A6VGlu!U;^2m8yZ8?WV$@3_b!PG(tLoJ@bmSmIpH#M#$ZZpj|J z{-6LL#s}{gPz*r={VLOLnXIpMyG^$(@Grdug3f$RBM5fvG#@6t$&;jsw5$(ptH3y{ z)>!1+H=W_>be5v_n}0Va_-kJ9+DrMY&+|%u3y?qwu->PZgRD^OKhR{Mp#dlc@3xtA zBdVKC0X*Z&YcaTjmn#FnX{l#?XUnTKp047q3Sk9=R2GtMkrz}!Ni=mJ8^_IuZ)OUae7 zFyR|@3wmvmI5An5sL#gxvW+PE*>aMHw7#xJ7hw(NGd`T<;a8LA7z=U9{26o7jHz{( zbAs`~4bk@8g~1fG32g#Epfy-w2A?^3fWqP_MMAkaA>O!(v+x^{vG3rybo}|2v>)P) zjI|=M3(HI7G7COSl+E5YUdE&D_sA|uh>fFZYS7KagX~;b0oNcU}B2O0*#EeW?_tkU4u;bVLBUk5K@jVX$fysrtL z%Sd+E1o$_h%)Um;L9GU7@N5&Nq`=|JDeWhB3ERZ}eb;0eTVrf8@jRp(&@p^^4_Bf~ z7Mb%7ipRJY&C8&Izip?*w;li=pFfKRWm5(RqqC-$XSXtVKO76C|>9z%a z(k-yx{esE$M;1tY#j`5ZS0~|jdWJ-?4zn~;yK?rFI;7ju91!qvtDoFocL`QJAr>Ll zb`a)$+(rlx)@FAB1RxmzjC8LsgZNQC?jFcx2q`At#)9s;uFGxrNj0y=?09vAyb}B_ z+)ISRXMm9cgl$~t8S85Xh|$0u;8e?@jkKT~=3{cffYeX6js3>VpF#i*6w15um3IMn zAkN6GT)-bYpq@t(V#ZFvkX$J8m@h=#d#`+?NH|{vA5ExrU7%(c; z*t(BUAEN6WB$HaroD9EZKSbEv{RJ`Awg3iynH+R}7WEO7`kURI$Zb%g|0T}bcb`aQ*FMLG!L-6qI_CT-NDy;6+o(Vjr&a9T&`xsBFL=fmh9%^ z>a*k|`R8N?u_Xh$1u*!qeutc~R3x6;tnw+$WeLlrY4U{n8l!LzAa)nv?p2y!#w8R0 z^%KdyfsuU#sL`VzEBxMuscrH}X%HDy;z&X)jsbO5YV;gRo8(M zG5UVjrJTnlE_Q3fhxDf0_i@trY(zb9cfqbRIVQ&9GYHDUv!whTZdLE24Xh-ZyA`zP z3TTe$hHivRRR~S3Nn3(DMD(urvGU#jC^>pWoW3)J90o>5>#zvuQvzUFG3GU;D%2U@ zxEd`&=nLHGdel_Xl_;MNk=D4XEkTsmu|h`K5P${%5Dm}@Za|B03?+ma3QX33?Pccl z5cejJ0L#C{f>2=m0WM>;rqd;_ z$1~jCH`+vHn(*G}VAdXv6)w)^XRcq?XyTHvv8cJX2TF zX`Q^wH9_!HE8{zS-bcV?es4-{TgEW(W6Bx7s|356qq>%HVH-c8O<86dhxBtcUE<;F zkM{+!PRHc=xC{v>!v7%Lfq?0kN_?zSJ} zoaHy>reneJA%h;^AY(1SL5^C7en=+p$Ee3`9=9#nN7S<-me^S z2ce5le9hN9FQ-bN#^#n^!g>(C&=3<^dX$K*sMVp*df#*g4bFK1IFq!CG=sE*B?u2P zEH0Kn1u1DF>5ivZVl>%2)+nP+0Rjw}pey}qzR5;z@ApTVOpC`F-WMA6`vDpX5-tJo z1pbyN_O4m%yr&A7SYU%SE@SFK6(v3T>I?;6aLWbl0LT;=cSMc^luXBF-0Yty8-Ex(@;q9k=0I=7a2_Z;3JmH-b2Ikd#q&4#qHE2? zHHx93fXVY(hH5nz>0*8xTM)n)-dvDEUR=PX4)5)_n0E2H(!(=P4bM4e58#*J?X>a? z;L#PrcBB15qHi_r7Zam}IUMcBu{zm_a|=M{0v3e2uPp*x3My+Q=f7xKABeV!Ow1+y z!e8Sv7Hi5E0NCi;&NL18QH0m?ttp_l@$kiyFMhENDhrfeu^!X~?WBgnw>!aeg;k4sy5SDgRdzDmmCFD!~sOIFW)v*QEG2a05^$G@7^;37*z3l zjtpYbs3b>t{h1MVBTueDu6UsEVNwo`ZO~ zGNkYrV|&q7k*@26?9xpR(VzJ?e3J*><{tara?;O^i+4^wn~kGaP1$$O`^tlFIqk1J zef#sa1^xsr&|np;b$*?k^!{JsO6&kG9OL@>6e|(pzLl`VLStyIixM;~Q*wBnoC4VC zV$>vIzcYqVWp+*=a%Z?JX%g_Axm#ui|gd#zm%ZDI)sd?%M!5?Q@0j9 ze32I+ggV5uDr;e;qP!U zYSP8uBLwz87#obE)+@RlmHE19T0tlcA3RJ(_W+TGAK_*37r4dzE*bOrcCnK@E5UH$ zO0mPvxte_q?^neN4EM1B#8p71*8U`Epq1Bz`Fz;nS{p`l6a2^u5-xDmx_bzybpn%( ztHMPE7aGkWE+(z_kYUhI002M$NklMV zFOJc&eF~%GETAmGh*tt2t|HuUOjM9=%G_)>u&TWGGb{t!p_O!>m}-w6BjxX-$vr@$ z@3fb+n|o+SF@yLNaHp#kXH{?z_o5#P%A^i(c7~$Cq>l#jF98X+Qs8nKycOHd*ZBpdPMog(@1dvWqp`?v_{2 zSPK}dEf|dTJ%ZZvFpT>QE9L6!k4g7f+DHq)_BA6r80t_5%1T{sPQ;eUN8y1S*|IJ z=M-*4E&C~xf}b(ZIK(^(V3IlHJW{biV7|dzYi7)vz}z8o{T}amS2xNEX$0>4m@KdB zhE~^o0L>BQQ^;_WJ(ycXK18~10AAt+AQ!1$dF@BG@;V=$@Y z9Sj=fbG;P6d0h(YFK+M|%P(+gd1S&u&cr(%|17KToXpew1;}h;!N&JV)+=W;qP+CS zpDS&S8T&KVAr798-&YD|{6@7XP2S@=VcV#5jeIL*rd@`zerKAzlx{Y|UV7~PPWV#F zWP98G&IOZW+21)h7?!o!we*hLzqc*$FS`ZCXpKyr%IICoJW>cdQ2*CckkA zT>=CSP14n@Eb-4{{@ZJBS{KqMy)*yj^9sw&MIMhUymPIU9{kPa-*x;alPHmF6o6NScOV^nY()`i@ovX}Ww&(-iQGr?7-z@hgqIBNYBKp4dl2vGq_ z0j+$8UK6A@(qx=ucqzd;X!$OS=s7&&F#>E|Flw>lbMKqNbtoH4t$Kifz6#y{8Fk&< zKn;%pAC3h}qkfOqr7v~aKZgdA9zxa)eMNcppQ0p+mz?eoNu_re&nuOraYugYvXlab zsS=}m1zb7pT!lAWz$dSr817I<2Du0bDrms3~=3cN;4BU^!tkOrLuCFqkUg#pjg;KV$4G&Nou&sY{}Q&4gRk@*eA-wY1H3)@^*AA*)M|5Y03x+@~up8O^Uo> z&U3mqU9^#|lN=@jV>!r}KKJ6^bgj8OH^J>~d(pzOl~6h(_({e{f%Ze7LpNBH*C%5I zHYWQ3b|@Pnw-6+JVT>UYN_#zBr!I1fie|OV#)a2XSGehTPXS6#(z?`Bi%!R60U4ML z7T`43Qp-(YVsBL%$C|`n`Bvvrg@#cH_J!p7X!87qWu>wcWg+rlDo3g`?O2@>o?(dA z)UdIYOu8t49>7G9R;*uZw5`@?lNM3XR&heFJX`Rzhw$<^=z=%bijVbgwodlXalK60 z$2Ie0Wu_{+>AXzzUNnnJ*&Flm@`h`_2?ADU7$UHS)u&hjV*RLPpcaEe6iXMh!3-}m zCwTc8UL%X^^IXo)$;jhk%0* z(`JJ=z8gd%X$=-x$C7E}7td=sf~sIcSJscYtMD4|=cskXD3mlXOdJm=G;I^)RM4 zpqCoqZ8H1-_kQ=kr|l&;8eV*82kUI}N3w4mQ}399zr4uo9W%MfWAv>{-gRT;CXZXk z7(eDiodtG3RHBJ*(`^g;<|l(?SQp5PJ&08q=tG(ohY zy(U3bhN$g8mCUga90O1c@O{4Gxf&Kowe>0Qk&q*?BMAz&n}8PpenU4+cH6ZoD8yPU zFO9>fO9}`hz`!nQAPuCF71T`x7i*|m?BLE3L?;NK1?~)Pk^}^Mn0Sn4xHqND`?wNq z16(kx7#5+|3}~(lKabN$=QTB3EZ<)WanJLFfRrWh!E?zCXg|&*8ooe zM{L!?NV3J9g#Kh#&>~KOf$lPMt-c~aZ5>ysoytCLY)6?DzhE)49y z2NX4?+#hkPs)pQy2A~ok-|2h?KtVh-ZZ_s&8=-)NuME5lsl=~!mk6}o72Gwaox`s_BF z_3wACT@MR?=I-Vm;SrHpej?1x?ApEG{q8rObN**A1g+QVJ@^(tq1PNo%0zl8sB~13 zDl?!WQl_m;JpRSz4ZI_71Q5KtwF7vDw;Kp{iMXs)5@*jM^M$k+6Xtzc0yI6$2XZB2 zQrh>6>1O%u^yT9pr{a1wZ2~m!rmvzMOHJyI_h5Jm#z3EShZlEjbb#09Px1UD-0Wbt zk~+=LQsJ%7u((7h#()6r0QlIW)XHM3BGfST@UYuGpx*$u?zi>;gRx_y9|X8ZO{}-u zgo`8`W{YI$sm{E=hPB{MJJsQ`YUC;GVw%-yB9K#lSYcv}pw(lcjW9=F_3#Aj1CS1B zYog{x*x2KqxJvyRZ!MbC!xxxJWs+r<=I!xwKeADDsxZk&KFJAx5+#X_ti<^Dy4e# zMR*bNId659J}f7(hPaOS`gx*!`3&G}(yy*f)1*Kp#k=G12${RW2GMKJ^-SwYhqD4i zSZC5j0q7mQc2e$<;-2~HDKXxh3y|X$ebY0-T=vVefAgXh)EvTEeEM7pb-r7#pu8iW zy?m~3T2Lxf3Op(ZP79cG6>#LF5IFL-&e@bB=e(@1wz01u>STZBl(%jEJ%7(b>d@`c z<|-o4rSpY0r;Wz!b4+)5Mh?**Q$w|JCJz? zIvytDCBQ-2fB+4lAUOB^FE6}ofnUHD&_M6u-pA>UmG3{ZJ{)~ibJRCj9C||(|Acib zp=387UKja5&k6bd2yw|Q6{J&s$Q9xFdT_MN>F=JC&u_W+P>bgW;zTzM&Wc6M(2j%! zjl~7;8|21Bp0B5%gX;mtc!YVg)XXCguQxW18hl;{uSr9TW`H4K9x)>AVOU0%xBx*5 zV(^0lz>uSjC&w_*8T8}g|!?t>WpL|!wYf}f=&yWoqtw5LY`cPy zW}CDKTkC1OhBuobFQGCUY;j`2W8{}ITEqq$@DLfi+`bl(g2s3aj_}kvSo!SmVU(Zh z+y?;=R+zA>@L5gxDdjTxd_%J4AjP>ujnX0QCPsY#K6T{#COO)-m)Mx5war=(<(uEs zrk)uSKV=viM7S|k${-d<5X} zzA)N)ycu~y8FO#-OVSo#Xt&7N>tG1FPZT1+!u|wU&C59YuGd?o1DMOR_8Pl@FnIB{ z9`lX?H_8@6>%K6G_ES$n{X^FySjF?lMviVpaPM1b zC@8nL#`7YvFkXvz9cSx-qZ4CRbv90A#@7fSr9ecLDmelL@CJ1}l*z5wZJ}=hsFqUUy90~w>omV<J3N`^l1*stei})VSNB`(pXwK%>0m2thv#@@s(QW0m_B90ru$9#f@5$yuVS!+E8H_178fG%zpnHod6+2}ONc+Vwg($<^T zms4xIk`@65ci0OIIlAyfgJ#l@ERo)2A|Sah3KG63@);!8lH4m@&p~-}jpCv)=qCX( zx2Jr$Q|2O154zQd>>Gr&Wq<3GuMuUViq7v22E9c0;uOc3?dfpxP(LL)pk%uv>jp`^IR^?Ah6p#qAZxF_E1)}jRn!>C9n7V2w92YZI`}MPx!hJsfrWXog%ENbqc+uGL-VP zV+K0H=41!w{2SwL&U0VLX^vOM{fy;szTzk2&T)ht#D&qUUE;!Sc3JRc3!J9~e);P6 z(^s_z=}kP=K75EJ9y6jUAP8XC9&VC|9$}$&C-piX!GOAAxcFukbDu43rdxO~NdvS) zx5!Dih$qefE@nu$j~$qel`cujQGUxa)nV@V8ZY(XuHpmE(V3ZUPtoVzB*{Oqi77;xA3oryQ$Rk1`&LW?xi}q0qUBOrZGeNPn)*S#6tw1a3+R}Rg z6v}#?MgoApN(fCuZhi!CCU~W{n>oR@@Q^VaXHFGQ&+3sO>f}YH12n;$!r-DXNV720oX&F4T#{~u#u}D7Yx%D*iB>KUW} z{D}5A3pgRbs(@q2QiW!L1WD#m52hRB_EUhJhs*)C{UISPd6!u`_=;y#am^;11BMkm zFB@2YYE{&_ahq_g?Nqr!E(16c$B1pFMXB`#PsGW2s8WlzN|p z><0)LhAl?H&^DhS=42zhF*h3sw&bcPu&(tn{UZBndbsoj-i+jK*h8tb1qZo&BXS*L z&A_@z>4pr|^2nuNk+~(4rIJDSX=5PkDL9>Dz$)3*xqCGqk0XI>l`IX`s~VP@3Uv+g z4(eT1Tg|R2kZ-WC{UGL{UV~%uB90fxt#kElC;2l)hc_5UWQb*u&qKEFP3DQOoD{|c z3bnfT@m2mf21*EaTD$sk&2qlYE9B>8zo>TwETg}+!Yt)QmHKMS5zIs9Nt^P{8bkAk z6loiqK>XK)b3J0IgYxJg{g^**m-H?Qa6vrQK=$7cmXg+GNi1tLMD z=cN#=tUu)QzDly41yiMH`^okag0qwK7;+4Fogry0gJ{fQWvc-0II%4IQv-<@5B#2! zW6L%OT~j{h@*mIf9&Jc@LHRphEL#1od#&fVKUx=ARxPOWP(MDa^J01~WQAS+y=;NY z7Fd7}Z)3E$-+L6i`Ee~`?%x^_F3h>!gW2t3G^jD#hzV#^6eqm=edIu9b}Cy0&_IDF zfra_r;n^V%#OCBtfeMw$ykf!1{D+vyp|~!wFd3#XfHDj{dnm?x)Fsv*7KAatrKOap z^FZy9!~&r#H$-+FBkS}q2<>!s*o)xl3h;I;Xc}x5xwfun7tdo<5oIKSwOM34lv!}H zNGPj-C5?z&;Mqn=5F|7o@&PhS@NV!w^U4?b{rZD#+L^l5Zt#5cL+x7r)8V_JRR<(e za#`Q$k^X~*Q1NRWlyl_2d{>5Y;e1^CI4xZHW-1+YQ)`Kq+9iDCeL`Q7rl8m$ybjA=h2Ay^#(Gi#fm>a(m$}W6Nu0aD+GUGF5jl)%TX`i+D4Xptm4Kdwg;~DhIry zhm_u33>B zfBey`Rug3Vh(i|kfHFh!b7uwj>!4yyk$lKkRpQ-ji`jDUjg~6-+U5a zobQ8)C#RrR0Lk=A=8bCq%r{>8c$l{FBy1e$&8Pn zST9=_+SYu7-5NkFIVpErpHA8%YYP94B8MUUZa7mt|E7t$askb!hRgAWEab5n6yA)n zK9OXFwaGO|Jym|TSF7_7cn`3dcjvO}(k#lu#9FU0<7JwZzXY2sC-gwfzj`ogQA6%K zHIHT5eQ~cW#H}^T+r5Ctp)UX{@=h-8kJ1vLUQn#?4)hV|aS*`SPhoo`k<}`!A;d`=fu8Zm#`uy8Gydu)_digc}{Rp%^Z% zUm{Edp+g1AvcLwep)!preZI7nu0>c6yu2Etbal4@vj^zG+86 za>2pi0VcCo2buu~eH8%_jm+0Jm^q$^Z8qN>JY=*Y6A)bK5;_1&GB<+#N}n8vggOBX z=pyV@M|k|eL|3>+4~A{OYIsyEVi#GZ5SXek>3WMP7#2$agLp?42t$J#5FUhhDzQ5> z*;!?niiI2GGW#??8L)!((TryK;mEnQe>W{ZfrTTqhC)uSwVe7`qsp)< z82b_k?2{LwhxSpcT7PQ*+?Z3&cLm$k)@^bPeltRgo^=FVW!(7Ed&iuFGC(rx;S~r& zB$!~RKf_5FCTBQVv1Kr2kc`1zCnSSHoL)RC>wW&~l%c}^sg>0lR>j|m=MmuCW4BWn z_T@94Mk*Algx#s5ZLC+8L;27+hX!_uIxa0Ok|kx4usvNo3;XfxOL&RpBm-rx5Ft02 zX+~-=8a|uPEl}z++EzI@;c>kN^%P_Rd*GWEp==SyXyV$fjqc_1-pE=1g7giS1H(P%yef;P@kQ?Amda(OJ zda(0{5vo=2bvn$_GZ(+0FN4SA8{Ms^&Q}PHyUZ`V*_x$mskC26H*UVi_~@j~1B7ja z%Y8x^7qD0q7?xTq2n7d>U#w!U;8EGfbNE5pPX~DWZme&m#%L9g5RPnzoTuaOAcj9C zF*?F=A}1#OS}p0>yN$IXc~lVUhmR082bLa8 zRv0l1Rw%(YA-Qu-GU0mek2>6H;#^B(cpJFkj4)ah4ZrQvojXuC2;9wQu zXo0+gD#AnQtpKtG7fM*xF=1fR3b{XchVl9vJlfTnw_y1Ra#;u^|ID+_elS;lo&Czo zE1stX6k??CBBXB}1_~q{)+7Ps91xyo$eBA~tX{{l%D4^Ckk9BxgK<`%aBWhUlBsq| zg)qp_KZyc}X2>hVI{u>kBNxb+$7`z0IG?fZSoI}X8P79)KgykNHa&Yo>m9iVX)o8= zm`^W&gAZZDIS);?-t5aO_$z3pSDkx?eGqzZK8L>alr3BV*?uzQiqB+O8ofja7QU;m zh%w-J5R|iDZ9m>aOU>{0XTIK?>+$Va%dlL^^Bx{j|KdI?`D`BdcgZpA%ewmvvK*ds z9L4xO?#IjHuSE;IDjDh`?t2ksK2Ikt)~~=*5fXFn697QMHEQ8@3^kDvJA@Zq;F==F zQGG(tDbuJx?x008f{0-$_1<%yI`5oczGq-z#((9-Kb@9N;EZCf!hgxb8nH#PJjtBr z{>v5>&H-pBqlwc1QTb8;!QAp$csIZeJo-kt)`-ojWUfKvms0hn6@q_UQFV$eL<)`i zD!eG^E=WK$z;mA$8dg?gj((B74iX9XY4KbVL9%&Vi!en5WcC)B%x;9cMu7aB_;-+BKk z_qqaOP)ErwSi40e8{4sd9sU?Fv9X62Cb`E(djO|I#~D5$MFP3a3C07MvPgRZ7}i-x zYhNOKd<9?qfanzc^k4;$k!Jz&$*U6Yerv%r>;e#ku^w%d8|(SJBVO(kBjf_Z9cn*k zyPbsucD9y3N^6_%1xVQ3zXniv3*hog`W@-q0qEuz%m!u0M&vu=hs~n~SkyeY9(nxQ zfQ&sr!ad$g>MQhcLidq9mU5;HQAS}f96waqcaXdJ?5%`?7=efmM2O*8^yqA{F)9D& zB*3?I6{AT~rsxe=>XGZ5@mVHkdzt)#M`;AeBOoYvDcE+f@F)x*5m=}j^VG19#LjzB zAmLMRi8(g`2s5iN<~nn7fYIhM{o24V+8moXnT|y&!6X1>rrrwPlDiwB0HZ)$zrz`f zJAlfVQSwwlF71R;cRMbH}qaK6V7vFsd?>=drm{563hFFA&IrnnPD8p?CP8fDnfSRG68nwWs~A$Kb=;M0$FnutYmjuLhBh8haSA zW4PXJvi_{9gQ6W@5I~rF4!Un(2NK;QKkndg?{l8GO_tD$m0{8g2YBKF)b<7Rpzyw z$$E1pQpKknZeJ1DiW~7d`k-ej@x`6I`3KaC<;%9J@~pmx9Y{VVrrYlfw~Zy@4ClY_ zQyl};{anrLSm*j&pYp=%MuCp6OS)`bi^7A>ohK2VZ~RU2 z$6+N&_|abM#%vO~mlJzt+OBqe(65fX9^$;M_x>Sq8 zmF6u%YQ7bp^J~ugZeA>3-=R$v3+5 z^Oe&Ojo<+0UN1O7Aipcn8xm9DRm)qS_eGNRGv}f&N#-`f8-{i6C#!o9~Sk6;UeDtPXkU{Of51-$V{X#b?R zmu?J~32{L9Sb*P8E059!o`GwHb(mT#GY%j5GI(=zx5IMPPE)C@@yzHO3Zx) zj~bF=8O!DZWmNH|tHUvOs1JM(;wl0LeP3X#w;7)Yd`3bAIK+akw}Q}pjdf-@74{Kg zT&DyGSqn!PEOf_&T`p{=&O2|V<`-DYH?j65Oic~WuU>orSVFiHj0A>qSxR3HO_G?W zP0FZImRvhls$l^!?Ljz4zvwyG#R{;A!lsVWszj)kCW4a7Q5j&haDc@w*6+b&FJal; z1j*zXN7vp?V?w1KN3q25V=NITFB8WVae4f8Y61Ij(vKP;#CC=Epu&kSfiKsnyx(J? zKc?SZZ+y8{g`olhm7a(SQEq?g)*Lqq69E(g)P!)svCyMVHh1sk%i9P{d5!C!*IB+K zxabK{9_8oH;CW2X4D{i!;E+INtfii2p;PZN6x`~}q<5UpgsiEXR}20kqMM_CbJa$K2E38VJS$sS3$Nc#3PZT-N*2CC~lLas&x|k8xmsJ61Sm z8^^I@?s3xL7$df!FUoWbSf1ab-rNIQtQZs8b{HNt06~sx89d9t=4_AZI1&^sv!N;PHBiD%%M*Ify@A1{pr8?6RPHabehQRn#AyT+ z$u(33wqYneCzn~GU8rxTd!NNl<1lz_t$@nwX^&^k!ljSGfJ~#vG2TalnM(*81@gx) zplEL(<0#iQk#}-3rG`eYtH`4E-TL))SX3h1JRny!&7Kwkbnx^kVdPuf-9@QN?zJJF zREwnEpnc1Dt@SD&qOeB^jc?ci{PNNaPadDc9Mb}$hG*4d$(Nsf4S5Ei+favweK#EE zvtuQ%@$v6nz@Od4&(lH-B*2ON>uGuC9def6B|jmNe*yrSFdP=c_^IHvR>$+OJX{Bu z+E4p<9gfJY_+;e+p$o2|EhkES-;JUqkDU>60prH}f`V2?QSzsu;|gPF$7_Y?IYq|< z&#r#qC<(-DU;T)%q0LF?P}-(R2uwT%3u-rc7WF0J0VXiT4XkH}bH*jT8ktj!X~Qw< z#Wn_j%fihbR`TdA=l*UTB!Q(NXwf1jLt{2Mt>I9U( zM~snS3z@Hm;bIR!!?37;oK?c5R?)}M+sG>R`z8RP(R4a#R7Iz-;4{Kh9w7lS$9S1` ziCl!pkeR0G$ce{%9ngMlfXCVabCf~e1(0mlnOAsI9fEa$u|vQ<<M=N^ zZUTgTUOkx29_w(2cf*UGg^Vzz!MMim&Or_6-9ug^S*M*Vi+Id7(vp$b_}*cyFFe`C zgBCpmF+j_MhiSaHk%mO3Ixo2%35px0T5@0Mu+7OE%hLyM&F>}l<1+gZFlr2%ZgCL< z=M~mj<}?N@`{_1@+qAjrT$d%UwcYJv$>#CpaGiWVSBvH4P0H}?%#;ti6E3uF)3=H* z9&qSR=9ZV!{n`XD891NMagE0~FGjvH=|sL%UQxy{T+0+1F{YJo*oNmOWiI6} zs7tK(eo8Pr!? z6rExCTvQb<%Y7YMU~_Xbz`xHw|9ob34h{~|zy8<%I(_iL2k9UEqkoi^moHA4KeGZH z{O2?zm=BnFl>FwJ>j6L*g3nwJ8QUyN=D%zeFiqI!EjE12 zBWhTF?ZR+up}5}YkbjLu)f|I{7_Ekf;AHmYmEkKo@3e)L(;kbcxe7M{2HngaAXGge z*VmxApVm9I01nGAbxj!i8+%y8z=$v4byS1_e^e)Fx)1>M-mVk!pas(n0C;ERyD(F% z@T`Ceid8IMn}DAU7!nyI87{r&j`JFm;awv1jxWP$9tfK5K4Nn{NW)b^Vyw1O;|(l` zU=AXr4y&uz9JMwTq|tNAoN|Waxd@WM%ENKyO11^(=K1>abIq&(fNK;keQrAU1(fz;ictBz`YpT%kv;UZP{}S+q2f~I{c)J7@y-oZDszHP z;_y0jABT$g9E6;%sUcjyarG~zFSq_{Fz;G(KiT^<-QW3H0EElrF|1q23nD#fx7%N) z19I?{(pw0HO-1DxSF6h_tQ`osFdfqR!kaK1?$)#c!jfRS*4E37>ye95QQ-z);uF@F z0gSvkS_Hc9Hy@`hLeZ@6UIDyETtd++De~-L4OhVXwM>YkDv1rMgdHxBr=Zs%p9k(D zg)ZTvmUlQ4FJCy{eS`!S?XBjI|@yisV8pW?9wYz)>t< z)jHh68@Kr-p5E69S%)yV_$Lu)3BSC19}o@zoa~PkK)S{@-z!)I!-NkCaDb~cfB+%6 z7K0H-*fF2tyyWWIL9o)2sfo0OopOMK4FvOXuS**vcswE(3F~d~s<{RcdQpgtm$BGg zy~#Z%9dOJIV>$3Qs+afGF{fT0{&{Et`q93O{^Y&M5HLZyz@A=&9o7@^>qD@_bAy|o z{cw6;37#q3IDG{M6_{LR6-Zs9)Ni=fDP+0Eu?dF|G@0&EutHJ(J(%xo8_EDfB{PY- z_*)EFjvWqN%V*tW$Oo{fa2BU?-0BBeUjF6eAwRj`>6=2E^UHPF``{4sw5+G6o$Hg& zozJWM{agjTfQ#}zmle{(T~ZkKnWYeV^S;Oq&HSr1tYtYaA{^`FtN@7_BlcnFROu7@ z+%@L#o$=!R6qx5G+R(A3m9K!Yf_r|w<4&@j9e1v==FikSGC)Dz6~qt6k|&=;j-yL@ z?ONbf$xs(@--{^oMRnL63`C2KPeaDpB^ruhM2$jm94XKAhWkWcS;dHw=ngCh%0A{- zXI7$w)L_tw%N&kPfVmh8p^J52Zek6|i1ro&5=rG%(P~Wq72n?EkPnkoWvPvC; z_k^LYut0>d;usGOc%pJ?iF333c_s1^b_VchDx_J!4AZ&Hv$gOHyuSRc)a~M}G-v>f ze$IMDp6S}HRD)+W`b87j?Eoge3qYo4+KMY-x>yPt9TJkQwOE>0Rl!7SyZn}ja3DGjrUo3V;hAw0L3lLukEJI)jtH#AQv3tQy^*xP-mncc0KCLSe|S^f`jTmiU4$D$0Qr8;SmMQ4fh#d zUK~>{69heu28L#>@25RH?dk_B0EC3O#qe1VKIekZV-CF`k&_H3denoh$ao$CstFX1 znTrB!*6Df45SxP`8Gy54BMzkp#J;Mk;w*UzVG8Jugv>wNO z*E=rS5{9+k!0@~Fh&~rgH-}}Av!yo>T zupzzllb`$~{q4W~x6?oQC;uc}xuTZp<Y8W(%P{KG)^2BQVFjsWHru5RIrrAd>vdy;{DUx6 zx37dCo9B{Kh}F8va2qnqTDRJ!uYwe`d|lGZZvnf!bu)X-b9Wh+z0Y9yU|0@N>^n(J zoU9_AXt$a2n!_ryRo)*Z$JnjaUt-K(OD+TvomOOC$?P}ArF5cbo(>K9?{*&sAc1MPDi#daC+E;FR# zi&m&m3FSj;u#qZTLY3qzAl#`!WEYNS7a?ee_YU{gi_o=L57H$p8Lwb0P-*}KA`2Gx zP#$4%ESWc8z;hxyrYd>-3K%^!n&e->0l1pEu@h)o}o_b{@-)eiC+@ud! zAk8(3pe#c^RM=$>cInVP21R&AbI2tj_o&X;Vs7e&bJd`uaGRwvhux$FNduHMhF&+S%nMr zjFJLcgm2-qYhj%4_@*rNY)%QwkMYOXoZ>s@yIdUAty%Ao`Y0pcQoT>ES2)W!w%#U> zmq!s)(sNMo>xGfe$}>uNU9)d5|8H)PVtbRuD*DO2#VAy^nSC2x&vR7GK5;y`2RW7; z1_G^?W52p~IWFu!*XR(oJ?=Q+W%R1Uexe^|64y)ix9e22pX0@G=QhIcp{wPX<2)z( zQQ@1^&d(gre?RHnadb(qR|~u<8R{bLdl6;6$llr@4|;W_8Qy<}%-n(rl}|KJ`Ye)< zGZMrWhGGqvQgf`=n1CzAn`syG^tOgmEIfv#6eu)~gFIv`K5PQ=j~Ps8>3|{p?zDFg z$(M!9*it|cz=TCW9x^;mD9vz+mhW$t)b5*~51EriqDnnHzXpI(!>VPk^9Us|5kp{1 zyLeYDVx_m%x*8!;H^?_VB=W_*?LP=WbQ6%!XBQj|V@}pa^TM^=Kw;WyQ_Qy@ro6DZ z2bK2(39a)AO>&*}SFb{I5(*mT%4^#|V@^G=29)2&vvElH$TDqRMwVTuj+HI2x<6xKdQ?P;sdqPISk^dF|UO+z9XmtUZV44a<{wc4r zsQZFi-Mw_MONhn&FYrql;dOW?)!KM~QNJeb(j~%Bjd*Nro~KOo9)XObs1Z-Ru%sw(zIpOkkkvzPNE#KvzX6_hT|DmQC+>%SW5n1W7uejX*BE)>c|(ns zF}xlL645q&>ZH4o-jf5$u9Qgez?{3&H1FrvYidLr=UWM|dPsfT@XgJq*IyS9a7ff8 z5|m(UiBV&Kj}#BUKHwP&0MiAc_;5-BqG-# zWqhA;1v&p^P=~yTzJ}z_Y(3eBt;Wljy{6vBVBmo9fm28Yk8C?~gtg@eqv&{1zY)Nn z;Z+3=1y&DAA{tQePtKlOS&cdHgUvBs;-%o%3 z=AQ*9Iir~eC7(!mHI46KrAQ@<*KeR8Bd^{!zfHK9%jte%yIuY`R|}xG2!*Q&jb&sO zZt?CEV_JkK;**Rq@pmFY9ZSo&4lN+`KiK_4_{>r$0J7YXkCMs{Us|@R)KS3_;dfC4 z2{5YMP9m8jSaxL8+jfe05W8<3YO8>S1kd&X!Jk zjQN{&&{?>I;epB#`9Q7dJl@2(piGW}YI~8qrwHGGeR=4nMdob<&aVjQ191NmomP*OZj)%^`tv}-W(2xn_o$k}-{J6T2w(5_8>zs}-%s_zk68PDQD z4UcBHz)BZE0HsQqcEdy#VHAM@FUt|nuT}CGFGbfmYLJz8_^#r_7r9nh|CX@+uC<4$ z&a<1_RmQX!7KnHW0<88ARGKZNJ{)I>oR*H8c}eBIBm*pPa7jPkEueRwB*^7jBC{@- zqLD)Tp<|uCR%iqiGt5aa^X|pGW{n#G9j|u{%7w59YwH-yw>-*p?08ShPyj+V7Qi4H z4i0ipzDGHe&mm}0rT|YI=Q?F#*@<}PyqU!FD7Y!;O0p_J)_-y=f1mtv?3?B2RcW1d z_)vg5A%fho<(%|`_sH8de?RH`i~KE~lks6L4Fy%LU_;N%o?`#yYr$FSAh5dN*n(eF zAP=yRu@QP-!9dm*1#icW_jl}tAWlEJgwGP-pSeF}I)3bDua9!Pbkg76KYrs_2<>{e z(w7R~hvV~^0+0Wa&xPa9xcuc+w7{#9p)TUS7g6Sm>=V86zH#+0MHu)#fX}1dj{_(Z zXge;vrpAu}E;*lB1Oh~3GA$BurHD*s2+Nv$3gyX5j?u6Q66VoXGL2sL6cKVRCcM5h zD8gCjgS%tmTem8C&pc*1l7^T=^TToPp}-W2fnZ?fVORna1FdE z=Owo}J$QUc0u<(qmp6@E>TDqU0C@$N-CERlA+@M)gUCMeu112X0gTjX6G2Cn;HFQI z#^fRVyoXmBo7-;Zezci&HVV!*9-b98=_Se(%vo#QiEB>!V?+|$Qkh`~PZ&Yp7Lj;t z&qbL2J|32Jl+)&?GfIa_d7tknMWmh>E3DDH3-FA2W`Rw?4@0g_dlCwO7S9O&^za0H zxbges0b>lb;ob4%=>Q6nr{HOIXlt|%7#M#=KC_ST=waiU)Y$tKvCK1cpk9Onj18-V zztmH3%yU~E*%cWb!xn1JsNy*KgtNg%0fB0Ss+IBKbqe*#Em-Q2^O1jL6#0VDXQ6_5 z9O&DS+!!-s)4|Z5&ZqN`o@XTh!fpfRfM@9umUD!s=n$QYUVjUXE0K!Clq9praiTG* zu7hmI+!Q+x?J1n=REk0Etb{fd@XtPOp_ zulDfRGOQ{kkL@4UQ16>rHDw`8^@wIhp%23x7EjHhZGs0PeyOC($;OzT!R8uVK*!|g zd8mj>a*>o50Sr?4VM7Cf<4NFgOzgxmAnra!xt&6n^cx4P+l(I{d_sCMNB#XyAIB^I zanAP<0)(Mc8?2S)eJwFgUGEGz{G!M{d;)-GbD1*7=etTM+?P#yP43?ytTpR(v9OVf z$Xr8Ycd5vHDt9p?n7qpSxj^=`mX5~&30+(u0m3HF)C5pmXky6BxEf>S*Ju45EZ~($ zsuUw@5Ah)GmDk9=vX=VoO2}jksua_SE|j83%8D-afL+U5bhlm3`Ee?LJQC<`@ zM+x5d2t}PdcKG4Q3HevA&F?c+PRI&V_0Na1$9+bpzt0zP$>f;wrNE$MWEJ%z4)^#z zk!!MV^Z(TtQ__%j!oFk&Ug2MLipour+Z5P+)`q9GbzE`GAKUPCBbSylZiS8s*Zzy5 zTzzs;6d;f{o{Z9kJI1$n}0J7{m$?F zPWn54=kKJowWk(;`MEFS{m9s%sPWMTL#Q%Yjq3ff3M4G0xc84!+zZ?4hk+1b1d;*r6L)_;1=R;Dsi<@6aq#Bh%s7%*RD@?l&bt`lnVo%Fpo{yacI zwh?o|iy;8q@q_#EB!wF{LP=kI_Zw*0E~om7Y2eFJRNgv4Wb#y2A1b>U`g-K4)R)1? zH}#WROohsgg;)!J1PSpHnC-u~7tRQLUmt;V*KW z5Q1ryJT>jXLfS{Bm6=++eR5&T%^O&Ex6-4X4-pRTq}{zX*KZRVbTciqZxP}FFl`&p zTLhb%%Xk59RnzuuEZH$aFju7Ohe{N!9Qz3IS|NK(A;ZQSVnk3OM`@LCp4A~5V=N)_ zTn*-SQTbrVT`h!ndEYaUIPZ&qn+=4O0gc}s5JFf%AEdLfe>)XgSXZ{bkt%BltO}2k zOy`6d8pBbxmjntiP}tuDR3s-O9AUQwla7UKnKmxbX_YoH9yNVcSrMd2FXtkMig3z3 z`!u4Vv+77UvAS}*I%`>}zQC^t1#3+N0M;B|bwU!+r(>)!$(0@+I_f0mC3GDb_(K&` zwqMfEcMIe|oglK|Oauu9OcZ#`iE5~0Qh;WF5bKCQp=$|xned=HTyG}L;94W2Ea!^!ffKd0u#<@j3KkP8sf>*Uj@>$2_O+z4<=x*b5Mg`4FHG!#}^j!k*;nBTSG@SYEa9oln6S<5cfA1p?DG>@ zIg|!0k7pu*VReD_g=0&FgMDE?s6&tOKs(qL5!#6IHIff~kb)aDeNR`{5Z>b#exqFb zDK9Vj-tlBTWeItA9TVh5M<3&Oo-r^f{_xGQeo3!a3%n{B>LTuY5oKOPZ<$Kr-D`g# zjKeex+aZ_rHr{j^j4ed`<*(n>lnui}1uy(n@Rxf5K4o5i09Y6?$y-_GfC($uX82G; z&4*Wt6Q2b*pg|_L?_MkDS7Jet-yE<3_>xL&T5wD7Nf@ZH&{SAp1w=H6(=*PzgqANj zsA5|XQ?Ez?M0rrb!7GdJQubtlrc4dr%)59W!#eZUo6CE1|8DTj*0+f)yU)h4PZSNq zj#|eqiNXch1VxP8;gWP-(%VHKKr&S7HeQ(WbxR~H_jy(U@&q>LAr1W&s(41C={z9f zhxNA3f`hi5;Z-g3Dxm0T9*^G7_7^0!?@|HpP?!hDL)Olis=*ZO4fd!%03tlK27TtX zpVc0QSuN;7$evJupB5Ax;X#>)8_hw&@Fb+~G&B|@IUC{eN$$9I3opVV&zy*0Lf$P$ z*ho)30GV<6g8fN`#?6n0#)~W``y%%uG~lSZ$83BN>+k#P}c4wgyc{4TWECQmB2!%2p!DKNv9HVEY zN>BX@QBg=?(5vB@Sailoe|tr9q_2?9fe0@!lWl;o zD&vHd@yy?+rD&)+Mph~Sa1GI-7jvfW=_!Yw!sruujfX}TL|y5FB4f#w<5a>xb3|xY zuLXXK(}jyQM$pg{Us1l%{vw0?SG1I`@!irnC04JkV)QXgeNyc)xJo(BvMVa_*q=q!)iqxa9hmpXX%!ek8@ zPop}(HaP`PqXi7@`*`;j4Yk|a2^raIsy=Lx?>59l5TIUX_fj21Na}gz=J zVcyVhdQta~=c{(?bC8~cf`gW_RzVNIUUGxTM6*|-=eW@vmpZ0gZw7eMc2=*Z;msAo zjFP)`A3Z66;1I`#!UX)YZHwqui#Q>~F?13>!=%++D$|oLIuLRwwwq1zfwSlCp+De+ z0Y<_j_PpL;5r>N<)+*L9jtib!e9lkXmHB6eB4a)Kowpd*8Ae91fwg zl;p)$Ag3rS|1$gCIqH=4y7Xk^P5H<&G`dw53fVAQdY+#25nZ?1K+JZjyq{x zM=*lPWdMXQj{_Lhk5{YdJ*)(~g*VcT@*C;9WjvW4;$n66Dmx^r-t!Wx-k3a+<1Msb z#M>`iyG9&u!e6}mF5K-?f#P{@b9wz`3k37x1n~uPGEFijQV1tGlan1f@vq^St}nlz zt}TB%?PB@6)&3&FzeH{rt~7Vb0AWnQUxrqNjmiL(GlGm|ghDN&B^3!xEToqS-@AgB zVy;~2!2Fn-%B06Co=*$YXO5PeE8j~Gcd*CQ; z+!&@?X(ioS?qHcbAXF$;)d&+N9@onHC>7VSD#dE9)B@n^XiW~dS2ce_1`c|@jLah} z_@o8`#17?dc6ZbEXqVNjivV0F-{8$uC4{louC*)VmRX=vCZR_;iA9P+2rU|6L;Vby zSiZBc9-eZ7g7w{fN)#B!&o*MZ$=V(1Z`whBFvKU*mW=2Tk|YSwm)=<93&qyo44&=8idt zt|b5)y$TghqzIwOccMSVaCE&OH6cWVwPy3R+%k*vBZ-NHw5IeG0NM%T*l}*zE=5uPWb5_bA=FLk zewr}qk|8+gH3DQ>hqi7|Kdyh#WSs?QrPl!<6zFZUMq3yAT(X}G@q`su0C?yW&rEuY zw`o($7yJ#6WZE@^VfyT_Z5c0)kr2LFGQ||!*FsRwmeAPW94jGEGk)xAfyT)e6m^>( zrwX~oICcN=8uTRRqG*p3#^1RLy}anTTHsa5P#1CEizxHC8ux^YuP?nHq2&AWgeG$T_+7$V5%572_`kFfHRbRGy`LfzaLVL-Hw-kDPG+hG4C;Knf1pPS=*cMSD(|gE|*($XW@V($6Y+XTEuOWS3h81$-N_w7BAoJI<6O3lh1;JZ8n4| zV<`6|tcJlJ@G)&N0zA-z>Tp~fE%4}fKs-Yrj^U?Acs7noFc}fZaOy+=oJ6?3IL}a+ zy1Y$j+KaG{tN}NVT!L2;8u_9i7CF>3lRkiF7rZeqcpZSHf?|IRXgK0~n|Is6Tzw}| zA0tM+277hdw0k||7QG73M%1fJ+LOU1`yjdS06qi!4+sys%Hp^x_%gZ%}fLTyktj5A9Dmq4lX{Q!@<9Q?|1C+;)1 z3HM3;M=%h|fya?yMTgY43fSCbZ4jufu>_q65^}yEf*yN@J}nS3H6vxo$@;}7Q_(yF z6mrb<$Cp4MOIECdu}bmBcR|N)6#_ zZNy5_(BSbWm^3o{E#8QFrs`E|8jQSsxcF2mk%Fgyx8|V1+6(a3Z(%8T3KfWOQ$kiA zw@6(9KvyK(u6Z-Vkd}6^2LzhOG@ScE9$NG`56|OnCvYv0TQMC6K-MC04J*uh<@h3z z#@YxRRhh?gk~)Dcawgb|0S?lB*U`}#W$0Cqdz-mQrNU$!56~U@>Re$iFqlf@CMyZHSqo$4Ld2jFDby1Y>Iu}*`Wx20;3;gcy{_bH7%{yq$!IS9Me(l!+ zAoLuC$-n;B|N5!doK)WP{`ThL8|lh7e>45gr~ejasYD3SE9pxZ|INoR9PCB}1(2O# z&hZ(>p3N>m6p{Yz+A`_#)wumLAubfmI zC|vmN%V#VtVX@f;U_;g)-bd(a1M;=dT2GM-;s%y@EyC2?$E&X~q~a(PItZGb(h}>- zGDZ#ygg$*MRaVhz8y^|q@sJkz>~f@u-X>h)H6H#513ScnuwA}^wIAZ@Epkn4BLpCH zmmeYo5XQ8$MCewy^)`%u8^Oli!9?m>kQ+v8f$+sEfPn>ss4kYs{T}&Ub}|dz3eV>4 z^yYGGAa6x`Pb<+6>w3%w8C8V}JyT^=Rl;A=&wmRD5DL^gCyA04p@{{+^6{zs9e^0? z$o7YmwFKsw>6V2*L2n`$tx>%KkV1_*M1dGR4K++xpb{YTh5juQl$fUh-f=4pzr9W% zFvjGOxe-7P_X8hi0A@ndnDXN~g|4ado%@be-!0Q~Tm$_qIsQFA#&9N!$MIQzVjX3w z!$f4@Amtd2@+|XaR=Kl|c`pS_>ly8GGW$2Hh!=iLaM!+b|4?^s9ZivBKia1Dx#ygf zd`7{+o@2oNq8$4q-={**=3d^#sPv#qcr+|B1nH_My{nV(f`V)s zt7)jF$Dd-CBv7XOnDM2uT0~J`k@CLsrHvZ7t~Fj`fiQIDG|<(>n@w<1BR4$<^*YpR z&d`VpY>#<%7dSU1W%O(TGd{ZcYvp; zAYqeGfp(l;QDeZuf&GJ*px_@EOoTq2bsvF1^A!rBHCf;VczTp$s8yBvdTk=^N5G9f z$NatQzM|{PNo05ebrg8j1+YJtV-3Kt-2efFNqJwBJJX{;B;=KtYq_V~>?@xht#!$@jyGj@f&7dBUYn&)0Tp~M z<-iv5<0`q_*mUP0J!>~BpOc<}@U()by)_J`h^8{G;$ceOO$LXu&*CJ+uI*grJ_O)o z++Yq4(|Hm=XcaX4Y_n$60M=ssFhN{sfZK$h&4I7{ zI$2TWPW{02{gYKGgo_d%xFxA+rm3}5!^_W%ZOqYncV?YxaH3%S-@ju3%cc^L>* z{TW6Q%$EY*j94?IS{J~XzBe!75Km?2Muj=iWPHs_MGQ#Gcn^+C&g$sW5{3{=O%OLQ6JXq2J@nZ*SX<_ zo#&gq9?zQrl1ro+n%f9q>fV|0u;G1+Sy)lVg`R_Y5WXrBOf42@E2yaObc75angfPM ze)`(iKiJu2j2F@Y;NX=N=4g$u#`owFc=sUs%8VtBNd{QfRgO=(%VYA-4CA0_p4;Ip z0QohtoL>Z*^&C^rYg^bh>Ov%eKV>1w-~4_^w(I1(`Y!jTvyd{1GM1#gk;_Nfk(c{d zLs7|RRL;sjXP;=3sW!@w{anA#8V9F55L4{J=sNl| zR}McP_rXx3IX!srAlC%1r#PMHRba?=6K-#*hP3gZO_Cb355zl@D%hHDk6M&Yx%@5Q50g5Hu zTbc-VDkr7^N`<%5jQKpeL8A3f;qq3n%zZ*g&aGxD@mbQU&m1vW}uPxrOe~Vx*B%XvIS9nUZUy6 z^Bi~0^BfP5i~?+%*9CmH9bNM6W7q2*7RPnQfx3SC)ey7_uD0=6Nuw44z#!J8cz)L> zj(cAneFS%>$-Y(4RtR@3lVbc(AD2R}n@O&N=sms8^~>?5r{)>;-G@bo7b5p(xxb{> zqy=7;40RFry@)a|x|@s|@z#|;hv5~*kxYzFAN?ozm;KJ$G&?%LBcIU zjH<8}u-ofkcnagRN$61}*+n*00n@C`{ix%y1s?N*V?$n45Yk+SwuRn}dL!zUw+=XH z6p-_fd~OG~k`6BatIazBJX(&=Wpt49kY0(_*M2mVY!mQDkT7yP(zXLU76sc1fO29V z0t`~*9-MJQy`z>e`ZI4KD|+z5UHD>wIl}^0c=b_?*Jvlh2Zk{q-h}f0;aMfW@C+H1 z1MfK%@_-S7gvV|qZZKL#xd}10(^%~-02TN0K5j|5_mLrV$8I=mmiUc^98rO9H|L|F zQP;`2*at`}0mfCBFO|xA+8Z)nDZ}uIdw_&l_}H&iIBMT%VyL*YLG+Q$)Y`leAYrG4 z70($d^7w@(A%Mlwz&T;o=zA?0-ROJZ&xO&i{68_ognhG7hwr-egLRxI}V1s z%rD#Y_{l`VwkHoTMD6lS<&Wsw*$*Te5?+b? zjz%cvzGGtqy7J5=9t0%bZ+@Iw``<OBAV*w8!NTjb$e1&PYmGD* zBfJUA-5cZ`gh^%W3@aEOxYi*P&PzqS2Fv>zw^D9nHvFo;Y)8|0G!X=dCPi{=eZYY{8D7^3E=*mYq)jV z1xz;$%Jn)P@~$=HRSaUh@%S-rV<~f>@|`Blj{BR3;Fk|+axDMu^>JwW_|)h5dpIxg z>AS_8`})a+hu0r|cv}ASCx4!*_ViC*|2%c_GuQZq*E6@8YCDG2Az=7Sn|}QcGmj|K z;J_a z{@w&6gn5R^*=hb^T0$x)4<7&)-e9FAzd-FCYpzVy$+OKw&5H-`!Z;D~uk};P!^!_Qo8#&oDIr-0KG9F z;TW)QbRP}7=fFUO#+~04IAbS;xfsJ_;HJZZ$-NLr3dH#?F5!KMvL0?f6>lNzuAoi3 zq{|k#z!q3~3+4U?nHQc4cNMm7;K<{lxLtgc?-Ty;0;_SRqSZB6FFle}x}yh5yG+5z z2}Qm0`pOjPos=u01*QbHn%Bzd`px&#db5+h_(SrAv>v5}Fz~lggMe z+`xdaLHq4B3gV*Z{c0}I-Ord?3@)t& zosWV+(dP~^j$;rWppM}c9Y+F3ey*_P2^h&B3#NqtG1V42OXz`C@qEUm!hzsSk-01| zBpBy01=W+tdsw#j^j-a12u`_>!r1h9+~4{h0o!tLNs!2KoF{^xz9-d4M!GY_NZ@!2tA)ZIvHv-ST)}4 zd&h=->Uf&ra1?zOz~LDh$1$4c>YWA$9ZTn>7#qjyAkSOu<#o@|0%oAXcGqM@!qHLoPvRZV|o($d7(zy4Vd&tdmqJT!Ln&1wpsV` zT7k*M4%4C5-qkHIeW&3$wLwcTvEN`3s*&*McK5w^46Vkytrh`R@9+&6w(8=o| zz-nLkoQ5sUy$H=+DR63@!vh(7!g)66L;F(@NPZx459S3;y>m+BE9~LT)dnOmVv!z$ z8qn!$B{*ZAIi0EGmJfkK&Iu#I7&Ddv={2VomON*%=@1d*MA93I=plL$j@Y#O)LDH6 zw+dyv_3r^%l+r$$2i0TqTjB@U&bfEX;a+Ic+q_G0E66MDVPTy3PrK zbmzX~gr`v?lC4{Vfqc$w`T7;|}5R$Zp zu58FyDdM>~Nh9_iD^}u}1-+k#?xPbH>~x*E ziNiv^ek=2Y%7H;?=ul-i2cotSM0#eFO;O$)9?XC67%#oN^FvctJl9A2B){dk3$jv^ z>3CXMXQ{tsS-(S?6n=PUa!=2hJ}-vUvL(sytE zkLlg@_tN*4SJF+C>eEzU6D_>+ZsrB}fPOG!->Ork&2cv{(5I zK<^sM2|yu=6cs>*N>cd|N`UM#isv5!mC7S6vJDla$W|y`g=-dpL|ETlO{Ie?sY#B& zD)|H}b=CzKfKYanHn31Orhhs0a3MTc7^MAWvW}qKT7Q!eNQ6OBxYr8!5!RquElTC( za%$cOpyb)hJuKnTuzUX@u6{$j2}f8(4l3kgxzYGQ<3x`!Jq3M7 zW)0vjw71+z#Wl+gc#*P-J#4L0;DwEygP-v#0FHRi1Ko}@;N%LD~2-%!Yo zr)ZBOeK>FVjwgX<`_yu+t7Ah@@_F_|`$@f?QS#iUF6s4XfmbC%UBrDaqRf}oOM+qV zY?vaW93d+I=)u2>{CF`fmLVF^ei701_AeVp#V8i0~+SjJdD0@QONa3oxf# zg+AAdr~o5Sp?z|o&<1my$a|9}4ZzM2q?xCmp~^E8WV|>>Ea-X#+I}SsdXHb!wFMrM zcW?|)LQqFSU*fGMAO)}`=|yN=tBJ6wY&-?L5r^cgE0Wu-uAv{^b&Eyx3WPl{9H!wh z9ov=IOn6p!dhaesxX4&Bce?q`JwD63soy}xX~9%MrG7m%_pYS<;(g=^8ug51JxY}| z>b1i&2(Zdzq5m*9p&$=)Wf~}K?%x1BBRufp7eqMeq@ATd0I=$CZZWOE7_MVc^{utH z0kz3-NYeQZfao+pXn5d#1d9%#cWL|xxho)Fb?&~okh-4|mbXa`x*g_4(^LwirO{gq z;Lz}pg2VQ|R04b&2C%}+LFO7TcFW9>;63AvumAB=h6Xc6Pf71H9|O1srhxyNy%bH+Un51HlBdojQv!=mPrfh1CvYyJlZ_p8Wwpm;frrw^A2x!{WHf_^qMs!W(d&YVeHZF1a4fL06=m z7KoNb-pJm{L-_Dh5D40%x`j|l8NFp9Z&k>Fx$;zR>2o+v1??UWVVZ}mA=Gw&_v{ex zm1IKvn~w$n)jcMErFNb1P)ln~?mI<-g`4Q)%xh`5QN4~e!aa@zfA^SEeb!VxE%iVy z(Z}n=1Y9{Kl<#q6zUbou+marHWv#oUU#pX{_gc0 zV@t^Bl<74&>zOzEC)a@~bG%AYmWoJMR>HMrx<041nb#bpyj_kSzx+P41qV+&F#w@yB2Lecl6Co9pSXzWZ0x_wg$HKYsLE>C*@QHjO%;vhd*{!z#10_@mfR z3Yet~ON0jO+)m4T@ADZ(39GbW5idP{(^{&Ghfk%CmmbW@piE-+`X?}O2Y`dWm->}$ z)@PH9W1UwZEJWk|^zB>!bNb~s{-?A-sL<~$k_+L4b}h7E*57^yX$1?TO)R4fH%h-0 zU_MSFJqHW)nc+kedB85|vISmt3n<$z+{#`u6glJfvg>iy`{{|M0)FoW*=7ZEsW zD5u^WrbqnpxYtcvFzF*g#7I5X5X0DXnyhiFtYuHQmjK_UJ4MBwbYQVKEM57n}jz!Vv~DAM+>}c87hD3i@5Ja zl$qCe*87W=2L;;R1tk3B(GSyiZvK^Y_sQ?4uXcXQtp)V(t-=~ipr}zHPc@6J$EK+P zKzL*2{j`1XW$NO2wu?)lJ8 zv0tiR2gInS<;G1s@?faXN#^E$u=_`_iR1LG>;FAUU-&jQt14b%gF!DnftDed9>~3sj}dsz@Ub6^2C;R zg9tl%Tw3PM)jtuQn;+o;y4t*r=ijHa&wW6gYx5NUwR7|y-0cv~kPSmGNc(dI(9q)o zlPs&jj}Hj-+0a0bg}XrVzyoCQ-TnwKAKP#C#_mzQ!OSh!VIwcXYYP+#1_~Am+6_29 z;F-OT;FtX(5Htb|BikhB!f%gYDB#x%@ag#|Vmk@m!Yi{7qFxEOgN0vNZMqx57%-6h zfo1wj5U*@T;d#oEOTS#q(_tB#TGd@1ww2C zfx;@0mV8b|eST`Z>qS`ZHPXS-gVfr(o|-#X`TP)&kWKW=WC{jy5*Eni7j?94m>+=W zV?9^h@C3B?0g>^p+iBiQ?GoVG@(1W^9&sLFbgSk7?E+d!}Ju(M?ngPI`!bru~0a@$7$5g5N0Iy6zLZd=0wKo_G6^uVWL&t=N z-{L*K1Aw*PC;aDEsj-XqF5y*sO@yO!&}hsU2}FT;4uex>es`Aepx(~_-*E|0jXBe# z9zDS2Uik_2BHtuAAA5C#N5)SdK(R@G6b~?FT{1`F@w%$;8YJH!R;XZi$iakg)pM}7 zDmW;!bOHg!*0!&r3j@d`q^Q@mH$I;UDjEWGjU@L^29HVolZAsGF>cxbp9Z>6OpAfEkZSX1Yn2>ksL93OX$0{2yeKSQdknr9ww{ z{^EWF;lJFK9Fvf4CrIkOMe)X;YCEZ#3 zlj+?Bgr6f`gC{-@&s^9b3=Xd#!-(od2%`}@C=3bQEZRdn5ACbhh{-tdxh{YFW6=T* z&z~n!fxGfv1{COF#FRc{K4fV9UB#|S`+1&C>u+C@N~Jwqpt|H$G3SXE>^&4B9#>g0 zO)6ScL{1Cx@Wg#rThgiVsi6Vd*b$~%q_EbsicfIul&h$!L1nGObMW|BN zO+mt41lj}cWzH0HCMbXoTT^Q)AB!ji$_RW4Ia*<=BryNTDq%$XtTlS>>~ZflOLi!` z&&VwVa5DX{bAA?V_TKh`?e9x4=#qYMTR`wnk7Q)@@E{}_QS^KM#DYbJAngL?NV#Wk z_U-h)jv+l;9n0n&RY%fgYZZhBE5}opd32WX%{B9kZ$VDU`IFBfmjLxtdWA_j*s1Vr z%9EEh)&<#IM{Il7y4Q_d-|TbiX1@vG)%k45Q4J6r3tE`Y3fVgEv*<0TzSZ!q3T5_D z4idWddMp$hw3BVc*C1C?*D2R#Uy|b|fI-<~+m$`UzMN;AL;=VAv7fw$&n}o9N|s~J zy*&JKTi|8OQ2Enc#C5#($UY0}Kk}tuEY7pFI3w0E3w)5qu5a zMFNF-4%PtZe9t}hjMN}dCx}&URWbN_9DG}?OgK;{_Z%dj*JE+ldrf{%54GG&DZKO0 zdTH=gXAxVhUq!K6O;_+56g)gH$zwj;{V=@$t}cEv$})$ap-S~C+XE21vh;R(u=63W zp9N56_(j91_OQaSt!iupjY%kb>yde565gIRG90QP;(5rr$qyfJFP~pP@M`P5;Fkp- zZ!CW|>SNjVh4q)ZEc8$IKj*&90DI!#8UL&=ycOjLK<;+#2Vms$EE6VG55@#2EO0y= zZovcNUCP2;0t8UOZ&*M*@ao9g`MQ7f_8xEWyXW-KbemhQIMH~IIA)9xd2hpznlrEn zIOsJ-8q%=1ODNDW{CTbf&C7SsU<=_~!EFFEzK;o^IUcc55pJ|P+GgCKls9)F9(R2} z&Jp?h?7wxa>V`!^$ae z)nCUrZ3lpGBaKK0F{r>qo`J>zy240!GvzUh#iw6c8#aFjM$CZ{UishulC_{wuw%(&Dv9wgo1J{Z|LZ|Gk=Kie2i zv>7LD#f1jvfV_wIi=H!w0e&)>ceX%IZ@#W{aC_kAC;`+(^+}C^J zU$iRoRJ^*m~G@Mr~H`Tr;q2qpYpC;6Yb7<`THrCT-?vpC4X+) z=;-*kxEsI1lBfIm6;{JrpG76|imQ5g`xo5;)82pQ1qc=LUUyO;`OWwKSFFq4O8@5L zf0Mq%vb5d)3Ci~;gbMvM9n>C>SMco!f6(ExJX?`mgRbIZfW#3Djx->D;eLbj2}SD4 zIU>P%p>``(o9~l9;aAeHz4e>vn=5Z(B{bO)Hr8~j#NO0(ixqA9*wgU z#VQll0Qh{(qRb+hd-G$i6q|Kk1rS9Ayh{50F97WB0j#{iHRoVBXO(~4G27p;wLY^T zkP3UlL|)P_ehWD7azNPr7eLd3Fa!j~-R`H^e9-e(fbA4R?XNYM=j-vT$Cw_3lAeVE zLK@}=z{7Y`fXxNCIO&{!oaTZ|-q(5KbdPYS9OF>~Ov=3?(MhDnF?0Hyw?FkVfhTp| zt|K^Aymn-J379$->?iX{x+X-ZV%7=0z6JJ5obx`bXWa+s-qw%t96P|9gJ=y*&OQ^X3lJzcrZ<%yhJ{hx z1TNMIZ(4B?IVYLJ&%Am9jo0zWtFx)RvGV=M4``7dU*UOt-CF&nsLTEBpW$8klQ3ZG zp(NI`&(Qcoz|A6cwe4DL#(GZ*;?3(ZsF$EoGc2>s;;aXkprF?a≫YGh3$M1lju7`r=AC(wC$G&JE;$zK&60@$MpPMCjVsQBTVb$BgFWZ5QB^6 zCIpBo;x%SY!Va$g4LP5m+0Np{TYUGJ23T zW)=WH|9|$*1Wt~sT>EGCeI}F1WKT#~Bf)@zETSwbAZ~yQzpJ7wUQ|>>E{ez}qM(3R zg^P%wqJRqGe(!ZfQS>5<3d$xsAqm+@GMUW2_V+xerm+GnNs_uCXOuDMN>MZ~B zR&||v>U~cwj-jyEi)jh^2G`)31|~p3yXi&P+_)%%xh)L;K>NYi0m3+6Ove8dR49&7 z{9wq$Mw~Yc=g2gPdCzxsKWExsSPpN#E%0u`{F(h-*0XT96`p5P&rR&k1^&Zxs|KPc z#n4Gadukk-W$G~Z-UQCE{uT&CbqE95`kd)&_!mIKgA4Vcy*Afk9?;1hcroB9TN1@@ zh8JzXxyJLe12(`AycAq1);sIz)oMaCrnaRRe64}!*(}WGxDziAz*gJZz!}0R=bfWn z)FND~<0ZvVqmvM^nfP+RIIb~x-5ck+`xq>_OxhIZvYZ&gwP0vIJeT|Nd}%wLGi@yC_n{67#XW6J)&BJp|U*}FZyuuz)-&hlFOom!9 zKj0h)hw#Y74HQM(YIyuvdxnSLcoW1!ih2koI^K$FC_D&rC*(bVP{x?6kk8#l=s8Gn zuzQ0QB6A-LyF}Y~&0>2S8(SdQp+4X@2|<$f%k#3|-k2jyFfy}3AMeYv<04X%?L+KF`Dc26l{l0@{{{AtmrIE*AWlmo1R;^>tsYh zyS{EAeh>N50B(XkCh9lO4{@$edPg>xrHE|C<>cf{VZewSKw|IJd5_Fz9K6S;S=!`W z^ti(1^!2Gtv@IrnZI=@ZcC)vCrjAW6Dpv+h*|uOD#C3Zt|4F?qaLe9U;Gz!bdKYgCd|a=L5ajRC9fyG&_YlIaC$1u zR07Ffdbu7Jr}IhPH+eaIzbLKqVf?BEuQtm&_c3>``-Az%rhl02c;j+pWQ`dc-EMj@ z(RJ^{v!;F&H>Bfuvx@P|@g~$HZ*pn|@YY%n-q^wuOS}$KRf8LF{HWG9?Piw1?cs>s zjxzhtJrIM-;s<$AVx_u>z)U6J+*k$Kepg{IsX#uo=U@E2zN9aFSS)l>blxC#EH|d- z$+(vy1;T-is1sk%4d|v3V>dIjB`yrnGm@9n_GKtfcPT#fe0gO-8>9DC@*@@wCVQWO zpx=SPB}6`oFdS%lNwjNcC!|fdcu}CJ#l?mqBVi<#HH zkJ+^AF+)LfUdIZ{)n@MDABK;l_{ljFdj{6o`50#-93|Vp@5q3HD7{KYAq2O;E=CZ( zllPqscm}{I9P}t;h)H^VQGCml?A(KF8~(>H0&E201VrXB{8!JL7l_a`wO#nWB_56x zLLvnk=h>(A8sw3dI|U?`hd#hZ4MID@7YYydVUL4&CIQdEx`w%^GZ>@ZZ3tI8zp2p* zdlWA?rGX8Ni90ElSyhD@+8`1#G$y^@+!CwZjz}VmEJDwqYIr_T=;WMhj7Bm{aSZLF zP&fgvu-}jy7SwxgvzZno&ei8H8{#1}{rY`7+$H z1@*u@=?G)mU$+TV;r)yA2~rI_WA`wN5Eg@pKFZ>N%|b@dMCV4*YK9k3g+}A zrI&H8)Hx5~GzV~F0hwr>$e(9QD_)cx z0Yjd{)e{hhc}>SUy?XgMgd6@*T+=5Ylr|v}*l_JUw6)f}Fapn27!A)wP6>irLj1+O zf$1&SJ35B#@%|aZ`M}Vc*3%dVF)T5K!FG5r@^>SuiQa?!?W)DiWn3KeUf0b-!|;@! zG<##ZBVI4|MC7#e#7iN%#QyP`%AZV*H*Dl4taIE2vm$I(C!Q?(sbyY}ST%g-e9do? zm$^Qj#Js$=-gYeyWc`rxb+yyBKC%%N9kTDfwi zIpd5oa_+u<{d#lTZMWszXF6YU(0JTl|7H$d{A%;y=KIa#+n+ES;hHcqyv>Y`G1Lgc z0%EWji{Zx;KSB15Haz`ls9A=aa188f`S#f&cq8s+4qEUEvlMey&_hv41VlgtDv1DZ z>M7p3`L_T7KmbWZK~$vluAUMJ;n~-}A--(i2K2G96e}23l!8q&94|S5Ky>Jmg5V6+`ZjF1FI)fQ6#d7XC3QHUSF&}<1S{DbecEF0aS}73O!~q$; z=U~MS=#mFbcBF>AFqmV#@M3Yiet6Q1XK8T(6Wj1yD&Ymj0Uhm|LYLp?(NvA|e(>#G zidlRSfnLHjBx)qk0I>?b^YPb>>S84A1J!&*!|UJl(dipR18CA0u)QPMhHM z$@cNogA6>qZllLoFD`!l@P@0IY7fJc(mQVn#6i}r(8PN1kL_Z}O?pi_q4Fm% zc`m)~IA0(CSS~*y1L1m%3o?Hft#}H-5Enr*qyR%tzdHP|I9`!l?`T?J1sZw}7LwS8 z<#P@-&svdih1uNu82%nNbKCbuIfXxSU|AG6>8-e7=cAZ!Zoc&z+=VyM=tagp;JlB$ z5DEF?&Uwff+O)1_6#d&_=NYSk5X5-~M<9@KZbEt;6(SU}Y>MuaZKHA~==sa+qi?D`+BO4Jq75<8? zFEM@alB}&?1l!(WhK4tq#)bvfcA2kRsz*k1Abbp<-4sYU-yua68+sH^kr}p;qGcTf z!0|cHnATnM`4b7j3SPQ{n73rg#Q@6RxJI&?^UK?u6aP=;ebQL1%g6Alg_R z=6#Hfp?)|I#u3hya}w4<$js(RSOxL9z8@imN7~@M2NA7pGX&&ev$OMAh+9<%msxE^ zLL0skyy=lP*7=0#+Ofj)x2`rVgL{}}%*!}34)0%h9NN%VP6MVstvJXq7Px_}!Zj*} zYg-lOvZTM;WK}bSGI;5-)2!Nnx#uDBRAC;<=7DB2(J*5AyPmh9YljSOMw)scvh~7S z6LVkIK+xpei2axnV+5f@(H4djjfWP+z!73Dg~2g+4NhY2K)1xX6|2V}=#HY#M{pww zp^c$L8G>}Oe#DA`!(AIN_aJY+awqG#jF%hg7$y@pZ1uQ)P^hI4PBFWo4q`TL=qPg2 z8@85V!f@Rmz%#!|+z7YeMU9%8*`}*`F0OMi$fQ$Yf3cgr@3&XFxYuYaUJ~fQdA1$T zLE8~RwGZb8!_zXPDCete3hIV1Hv-S!j^U*RhQh6dx2{{r;d~jg-CIV6%^b|D$dJ4H zw6!J#^Ymjmc4O2Rdu_t0j-LcO{;)qISm)H3b{uDI@x}d^4~JO5YZtgYWvW<0vK#Qp z5^N`JkBMbKhmG^&I<7%BKQ3dRWRv6g01nkQ zaopfFSx4ik<2>9-crB)&{aJs9fnzI)1O4c{L}n3MaBL$2RVu=KB2a5p!50F}a0ho% zvgqe*%l4VPuNQ&vzyl97{L7W@y6Z0UwXc0G*DllkjyH1*w{q0(i_IZRc9~rmY^}jl z@O6F9V}P^^Z-?Qn7+fV8DyAN9P%#WhYkiZM)7)+L>Dn7N5ew{qhi@P%iGT=*K&29( zmkz!77~YZL{RSWsGUO=54IApuhnpD+HGJ^TM9)Eb$uJZoABZc7Kr#W^1-<;5AQ}y< zhe!l_q+KQkUdcP>SmsYRU*_i^s~%z_*XfPOIRov_I+pnzy|r)~V3#@YvV+qc0}~F` zC=7BJdZSqZ4&oq%Knm{GD-z;U@_;T!H3RvI{HzdfnMBRZN0b}=%_*n zlzI&1)G3H^gUHjVuiIxS$Ak1@qu|6)p)VlZXbnUYdK5BzD8o*23`jAI-hNi}!UdY% zcoeGWc}9Vd^Yx8GG^4lS5IoYjjSt-EQAjZ`W}o0ew6R`Hn7a;wgcDAa-dgQ=Ikg=g zUM#zqG={fgI5#4_7G|`x<=qqs@4-BU`$Ft_5}t%lppJW4w(0xlTDKuh5z3XJ zW*Od<^AS=sq6eq-B*gOohHB;QEJas(QC2}bXh$E8#?W7Q7|yVR3{&U`h4db)hgeXD zAANcarYGx}itvT>BBfAKgRlYhc){4KILPP96gD`&*$`uGWB$QLh)@l<36H_Um2(5` z*4hmLEcM5aB4`VyNNH+aXa-{lli9kbc>!(^fM!vH^XC$R@3Om>MwX z#`$~TqNCBDbIcxdUzJ?t#4-iL9?WA&k$?NZT5Cs%FLNyL#qfE1&N7>;w_&daGgP}B z^J90ImeDyT);NSPuDzxY*NQ&Ozt%=k7JKozQawb%5nLx~5$5tmPeKT15ONa<5Nby; zmmflTRzZLqZ9)6MYP_Kj-f~ZyR%A92gZCn?Csp8Ek9$*kq0*ah1RimlJ0CQ&x8po* ze#$hD>;|?F8OPep5JWW&)-i~dn9sD&^uPwY%~;1aQv*@A4niRX zK4w@o25;5TW>W>>uYSjTD{3$tExifZ|5fl7teQlfxIYuZk4`i|K&Izm9qJ4bd8Biz z8OOYZg{Coh57K^`8W+F|xCcUTGhX=LhU*r?8^^D=XdT3I_@3f#9NS;$djVT&;YGX< z;%*CUV=tWVg}q#1Ly1BVq(?31;G=Ng0WqDTdO0L|7LVb@g$BH=!VYT0?~<3q_O2a3 z2w+@$7Bw{?ylB0dmt$%rz86vj+!O}+awjP@;MoG_80Xjs@2A8s4)}n{ThYssh^wL=9Ilks{FAil+}#sjm;Q!f|Eh8;Z|{pg++GC2eEEj)J>M#8>cFJLnD^ii zRDf?%j^Y=LKcIXoi32+h5;+Jg_KnXl+NCl@Km1e)x_L zu@g7D9tz|eg~RY)M-lXKs>l2(K>^y}O zJEPv7eEjIaO1tEP6WS2%ly6{DBxQT)RjCvW0%47zf+#nLJfqP|FV=$Ial3WB!iMFf z$6OEIGHHg_2}LIgVVpOQ9%LK`T44;2(yccjF76b&_&o)mR)nOaM;*tCBiMHWUR2HS zIBUU83_mF{F;O6Ffma>p->WI&tq?xc=X`wqh;YMDq7<_zGPdIl8G1v}`;X!o1u(x7 z^Kv{3ojfTTjzSn^ec~ZS8MZKHJtrx`#KSsb4oBz7qI2LhKPj^AG52uu+_w8{2uXT` zG2G}Zc*}L*!M>M7FU!se{E!&TWk>HJ{Ah4|-+~EvDF}7I(~RDs{q(fMn4jS(Dag?i zayI&rp*88nMWK-M`;EZUh@mDaj!|IYJb@HjC>&Cl8G|^;X9#t)2hMQ`@rZwgB!-uy z_-5x#gHXh|!m8lW)=)J8Q4@1R)^(YhSTE)aY=@w`6K&Z7&q{_(jo)PSLByfpO)<0y z`&7YmaK|LPWFcH_0K-9sg`9wZ0+En;)nR+C#HT{dQ$nF53Ni>U#YqY?^tz&GFp6nd zHg`P(Q4n(?4s=6WgKJR34tSp7Im&ngrf%U}fe_T_G01x-+|QX>++fj544!5&2t*u9 z@H5tiANpCn5ZZP@(A^4Q5+04MOCZGeo4Kv?%zpC@v-Y-RcJ`Of7j~?Kx8)W)uN=i; z3hWfs3rRfJ=I=hoY;AyWys6m?)7bA9#nj;OFL@7 zxjs4uFJpQVBGlzLt`XG`ck8O)K?-58ZkS;->)_Eg1aWW!JnTlzNE_xHY+sKI2nATs zR(fSMPR(aI0vo8Y>IiHPieYc}BYO6mt;{p-(76x8Vi(mLb!RzTG-!*fe)w zE<)IFBjSoSO>RbijN%-5!VK4}LtE#f&G9GNwFnPdhdB%B0XhZ&v1%M%)#!76CImt3 zYsKN}cnH#oT7<#nJap4!Lm&jM)_tOM(rBiXv*SdL$9Vm@5vvCg*mH}+qit~N1WC-0==EiazZ zEFZ}kTk<7VCi_xjVOn?mfT@4&OR&h7o`bxlaPm*tse~&W=Q*~3_fYIq4$~^0yd1XE z%4lXB9Dzp`GXr!KTe)P(l0>y8aQ5xkvBS)ngQv84(v~e-5_@!a;|W*=CBC&->>H02 zgh5Ra0TB>^1OYyvp0!WhlaM#G<5Lf;`34{#T=T}C&xYtFmG!0)H@M??Uck2n?Hp(r z7xFop4JkTxJjEa8p(Fy?2;e8$ii8Y(%TSZFK?;SmBe%g;wtVb>6+#{bJ$h@wDa3lF zaUhE4d3d@TKazvHgeM^eV9sFAeqtAA5KFtJ?bG9pVIlD>+92paq!M1Fw;@#NbxEO# zo_OVuD3aOmvb=^sBx9c=GMx1!o!o$Dkl@Xi7I-bD;o-+9N@D}9Hdk9 zq;0Y9=rvicZHqYiqN*3x7%GTzgUGWes3kavVJbPl9sjH-1aC5W&2ib8i;+SYg|Ts* zl=g*DD;ClV26I|X?MumM9E!g6w1XHh3~`YU%-axxkD(1IN-+#1g@Zzp6&*3}8AVEp zk@Qw%eK?IpSL-qejSzmJ>&GHW0bF2Fo(|`SP$>E34~U(bHz=>>^A%~;eG-aYxG+UZX_s9&|9kxB3u=`2q{X?K6vjy`62!v zuJ2O<8y~ulB{cbWNZhgpxvk+CN0CC9lG zXEiM`{i83~ITtyvBE><@b;)*j!3%N?%C4)~*KF*43gH!NAYyKZjcrA{hf!C~QJC9K z`K+1(DgP#M|3Gg_>q!VNuyOm~HU6}l0^e8*L>LHz^$^7BFu&a7ShJ}f=iHs~C*BlY z7}A$%vStDzCI$!a97OC)Q`gS1>b zY=&m7#k_remP7hK&U}`f-;TD!zuKw}%&WKE4C1&6h?eaGFEv95%~?AJuhQY!@bsf+ zBE0}HKPa|OKzxO-C+>|Q2*#RGw>DFY@UL}~4W@n^;XPq*lbFkLyaA$7JDdbi=m_q8 zH_sX}!&L}33YoVV<AyBTkWS2g~s#xV~d@~=Uk zPr!??8tZO}a}-h(`o#V&eoHZ{OQc;Ff9vCB}e$@A+?;CkMJ z`VZp-Ys37bvl?2>($1HdB`vtYL_#D|Bp1boo6{04cUg0jd9r`f%x!Ein}$ZrX3YCJ zAInh}3E6iw*6E=UUYFipv{;9E2m3HL>9Uq)8Yos?2Y3uTo7%<7HE!Eq~+y^!l514VVTEqyk;*O?0~83B-eRO<@d!TW|Q~O zw6btY*zyV~Gf`(&ZmKZ0&F0}&;i)#-@4<--md+C2`ZgF>Xg*21Xp9Qmp11t`wKJ%t1+V zqD}He>|CB(w0+t(2f-B6>75rfanKQ;*gl@S6bZcus>w{kScda}6>@p4=zl)m=ZN-h z!xAGxpuL{34~KiOjDE=TtTT)z?a)Zb-8oiXe78Hf77opkPibhUYO?qI_YmXj-6L>>}o`e(!>2+39wF1jAD=;zK zC=)&U75ZafsjSP!T#Y%AE&Tjev`OCnt;1H#YiWVC(E$jhxLoC z$jJE*8NsFeF*fPeHD<@dAdn$UL$MGBV|diga{ zEX3ys=0O`{=mG3wYFZ&4ac;^k2ohMgPj79puK!RBq9g8=Hy(}2ua(9 zP@tXoQRt{|h8NvZcs=rmz}UGJ8G4lhAVX-cpdS5w07R639-^391 za=aa$fIJf*4%X0v5W;F5&jkpJwY88?k%jZKHj3kR3}dPndU8T0n2mu#GwRg{v8o%( zbI^b7n2Uh(O0s?V5<~Cy!vm3hJc9V@+xnk13udjvd05!vPuf8D?A^@H#to)-Td%3v z)@BClFpuLHM7|Nc0D!p($3`0P@?%qc4!@}i)thcJ0ecxYm|qa{G7eX7gpddU4ZNxv z5Uv(;4l=wbVB~9p{hl6_{Ah8=BC9s-*BzO^|r3I!`5vKA|XTkj^TRVgV4gG zh*Q|cxmO_$E`)fzdm9F#MJ9R^QY3tqA|XO-a!$S%Mn({B6X$zG6T`7i;01=3mSwoM z)I-?Le-1fK*$6Mm9cbSow7C-@RrhIYv-2@J-{<<|%ZR*><;#9fgbW+~qZc+ov5Pjz zN71<7g}KG=-)S=Zj_bHaz=7I6Pq1Et*k+$6Ovj9vFN$M6%!bQuDZL0=AJi>TPq%}n zwmEfV{hh?NGG)62@fen2_rY;|hT@dPXDeLiA7;R^T)2&iKRq0$@>qs*^_uuRhjn5U zbdF=gPK_9!la*zG_BzY<9g{qL=2myx*KS{w^R~Er6G#gR`-KdoXk{8Ufg1d{?YZZk z=JCfLw^e!Qp@+==`|qE#S`R<`aN_&U&Q3Fb{`|zc7DPY8n*bs*S??&m3CJ6M ziVeJ3rDqSKZW&C|lkm8*cip(b!+6b9Lp0%Y6U=dMZ}fO0%RvLZz>;sCE1RBL=NADx zcOLHeDH2veNTEo``7ybjgU~_}2OQjg5H?FY=KOrtRtt1Wa6~se8? z2b_FUmxD~Um%=;+`f^I_tM+9GFZ&eu;+Y1VJZzh|%s+aO^4i2{ns{yEGT*o@hXidP z?m3A1+IqwO;4onySoA~uWdF6`*_?guT%c{1L%Ykpj$w_Vf+#nLJj<5LwW=@9 zlJh2VK0=Cy9T1+#oa`BTlp-xXOUa#Hrwp@7p>Pa0yA0LXfD3X1gtuXY#u&zTHUuHV ze?r8msYX9yjxYL?P2vL1KU~J`AM42Qj(lJl|AhDqJF$Wi@~OoaO}Lrpz`T_mnC!a_ zPk>voOs`bd&q)msd%7_v-zM;&r|A$L{&PAMdJZy_W@iiDs!2)|AooC6z#hzHS6}-Q z(^9wIY=>aj5AVJ{cw!BXZ^AZ&2W3cHk58CcXUY*nFRhXTJ>hhkv%B;-=om%nQ4o zvGZ+uIiF}>4GY@Lw$^76J{2Klai7uGgV3P#U~6eI{gd?&G$B&KPATM3_=`c&U=Uh* zLB^oejo0logALDHZ@pT)MOK55pYdP$d@V@*z7BmniLkQ<^IDEgLac0j$c$nxxTf(% z5DOQZ>QOw}McJbhxG4hHx*E(^2|>FWUUnl@J5i@TypVvKU07gEW4)531o6HbA zQ~M#{E`&|fRye<8YjdsHHZp29!gFk1W1|(6s-Pka4m}T{6LV9JLL?lfS0Th@*keW_ z2ZoQ$_+ok+tl&#eI9@X$05;-W<1$kN1WS4ga-HEc>6yI~^I1&7I(d$FG`5+=vsRcr zrXdbGwQq-$#nR?xvks0E2-*pO5GoBq>(0fzeDO2f*)tlS!w5%QgX>m(EnbXiT!L%c zi`SD}HQWSoa0_gJ-jWnUm$$T_-L&7r67O9p2+|YGzEgwqnfK?Mf`N03Q{>`!iXxXm zwyYMkWH3d7@o-;i%u}nVHl?fDX)jj&RQ z`f?R*v42zfrRTw8?AT?hjB#*bnaqRFO(>c&Sut;FJisvm`SImcmdEETUK6J<;5e8m z3IbvC)Xx{&PP<_u7iZZTM*)2hKe7z|Ev79~T!Ltw1i~PwmQkKZ9(iO!ApFZ;{$k$y z-uLFL{att6mH7UE0}eF8$}TQQB>g#KO*W_k3xGx?1F*E@TQex zNIdhfB8AIt+9U!66QIb&fo0#?_`r#RHUH?AA|mKJBL#1AaPv(60L-c+-QB-kyBG(!M;*nyPF! z0%47zf+#nLJl&X8+BVKf$Unnt4}KUpXCOV(IFI279>mjIu#iL%DlYKMLVldPuoDjj z@w87VL10eX?lvUo`ksg3?N)DE;EqC}aO>7>gd1M=^C+IG@*beRy4AGTL-avR zv<8U1wY9Ts*iH7ly|>^4TwKg41i3!^ zaP}gWb^qw|5J%%eVFSZ`1eEA?IE-^+5I=&Ws5gbdW-w@l7+wz#u-T2xrtH0iThw3M zJt~MWbc0F_AR!&njRHyth|=BCN=PG83KG(t0@4lA($Xm{LnG1*4FhKnK7OCyIp;a= z`}_gty5>?Y=EKbF{kivjuY0Yv_fXKjxMLNUxsp8olRZSH;^_D}ePD(j&-uz~E%|oU zJC-$iPZVkR?2(w*%BcT`QJ}Qrqq4S_<=E!fUB*w%)wgX<-lC~5lO2^9wnJBBT{ZKw zAoFfEfu!^}6f9LC%qMM1Gj;hy;ewnrVzr&L{1c1GC4upqTcSZsys6R3`>VcIH_-L? z9GDWnbcyEMS}$n5AF6!_u@J%X=m>p=Q-L}@;gZlYX*HHHIN+iA<9!^l_WbF4we+0g znaz*=ev_7pu0WnYyRE_7)o`swGV|+2Hn_O+G^(4OHn$_HZ(^EP9!*Zz_g) zpJY5UO%Q|rRy&lqBZ3g3r--{7Th!UFO5b3U(k_e>Zc|P7#^6dVVq^Y=CVmU0z>zJ4 zyu8pcV9J)I@QY)glX&;XjKGXrGma_mSo~B6{UXS+9kN~}Z3y)DD;P;s?S5smf$oZ) zc~P|Hx@4t3C=>PNs+`dQu;evmu}vPQ~cxI!Crl6y@e9W zT63^^29JVoh@74Uamt&MX)M%1OK#ITzJ%uy*u(}rrf$ofWvJoDk*=b*WJPjT`B2>a zQ-qJD#lE8yp6u7I1epm&%@lLwdoLSIZfUAcDX*m)+a1bwGo(j%Ji5uEG$kAMZCH-R zwz&DyU5C@1Xb$vPtGjLZZ;I9&2gNM5zb=KfzhO%Ad~K|SO$S8<58m*%q?&^2ngsSD z_KR*=-AV3q5;GK9v(YjLDMa5!ZI2~)bZpuF1F(R74UAG5Y@hAOwSx z?Q7lGQdjex^D_K(UrlVI_tfbxqT+RM;T3yFEpFe*;^+(tpOA9wS25S;XQ zlAzqrm{6tn#?gkhI^gx1hPRN1ciP{ydGGx5R>_O;qIzfLQH)QHw5=8+Suwh+)jOd) zv#`kgmeKDWu0t@~1yEyiwO}>Wt?E<_1Qtf#t@{3hTfWR^qSIMK>D`7;S>sra~VF*Ees52rDzsbN<#f`*psrH7Q~|iNK9N(T!j&5bEDbPl^!5JkOAPJd9rQbwMC4 zgL_Xdrd|7~l?*eQvh>H)x3+tlIohrRKMY00l!cU8*5(VcHE7!&kGB$&8c(YH&}L1? zP2_v!(O%oOo78Zml1y2WVqZ(CV7ao1Yv)t5mTXOibe6S>8^qjQ5Dr_p;k6O?V2Y8Ay48M{=vXpvp~X`Y6+E z|8DPwE$6^ZidFJ87l8(P9U}t|r|l1Js0a-S!DDEf%tOrTOz5p2phhq?)x z2HAL(Dl7_qGTZkec>0PUpncB?mxG?~w*6@RtB->&-#uA~fV?@GEh-79I>o&(TPGBXf$$J=r8bb?<2bO*fphPf!EAk&`u? zM+xEmA%23(A#pop5$YL`!hInkjJZNq8J_Vdwf^VQ<@&vpg2ttm=hjw+eND=fHy#;? z>&}0RySZ-TWne{J$$&Ld$v)m&#?+Afb*PfKy+`b;2Nv9^u3a;fDy+i({RCpX+B=dNmHz6bCwx~{D)x4c)GkaCo-2skmrR(wMyQ*M)X@!}P+JT>)E-*Ft=kvev4yHMO(yIvZwaxQv3I)qYqvvv0fij zcAK-_N%r0Jh{&Qf5(&?uqWj3SMP;okyQ`9<%(q3oXu_9Ts78?a^F@aEiy!^FbN&xP zOn#?pK6rThv*j$x;D{_66H{=VNZ0*3T9W%?cLo}}#dG5|!vpp(`zj#HFJqOgX6_+(6M0F@u>t8vYT8DyzpdMDARg_j@w^xAOr>CGiiLNruO_SVNU;<%;rqFUi?6)8T>yT$iPav1%|`?)O_4h@-# zF%I@^y3pNkBXy>>H3eTU$6ed?fg>)8I+EC$6)MAfR3OL&{3p4~#R=R6eN!i@6}uXQ&E ziP!Vq7fWB?Zka9ebV#iB+ENNQ{B%DvqUdsS`53Zof)MP0uqw0y*1AaGv~#rj#3 zo7T6(d`bFq+*09r$2x9T>7U@tYyH0hyvd`J* z>IbIO@3n8lE}BZ}ezR0q{m4%~Cp~9?C5l~L!1r7v`z}@mn(y-`y`-A>h#3_1u<>J9 z7@ZR;Y~&e{?+8Kq<3Y#%CsD2xwvbozF^|%pqq*WPS8)m9nq=-{Qo!il3SwoTf~cVo zjOS4YvT(t<0V=5zY6e1PQj}?$EpQ#(!L!>an)e78kENYr5tI)}SqRDxy<<0qaOjko z>^al^jD|JlZKq$%bj8XjM<_;bZV5|m&Ru-<*E_LtGno&lFW~spd~z2_Xs!FD$vnjj z0bGH&2;|pa?~*wswk7$Qgo}+QyR9ae&o#IWtbP+eC8#4Kz8CcAXx35rYvgF0Xlk|X zOf016x6NoS1no(Bef^A+OVe#gGAiHNjTc0|&j{xqepu;^%O$BXy16=eThbE)jDXO$ zBZNE`@&kcDm@jpPGO*}%yuYz(+n#K^ZnO>Zd1!=^+MbU*!nyiglu!)TBDvlYvAg)O25B#hL;0u++x6K?`1_;x(nTS? zy&MYaI^u6V_Pd#IVUer1+}203@4u57BF*R;OBQl`$I;2>6PvUt^&MkzIsG1LHr>$3 zNaVgsGXCS_QwfC^7%{vRn7izGQxz7ulE1dLs_^O6_^o8nQ11;54}V%zQrc5LXK+#d{e6#Pc}c_BHaD-Es@Wgn@mS_}Q;$ zTWvyLC^$lO`Fy*cQ?>n*9QDhl(|&u#@hT{)6tUsg^Kh?CllvVPr-MHH@U=nZsT@)u z6Zg=i?-`mMS_oCkF15Vgtm?_H0H63r+RF4@@QJI|SaRoh%|uU(DLZ=BMXDbCd*S@E zg8st~P;3-Tf30tp71tUJkYWDE$8$PxbDlSf36!~a3D42|D*+LV!ri8!dHrY5Pnx*Ev?LoHDo8yj<)ngp6tOiX(Ci{48{pjF$$>;i*=h-Dt|@g;zO zXZjNwx9{HN5pmgkeBb=?;xs2GhtVua9o$rw5M=CvNSH)MLfHgM!2pO|b)Q&k>j%_q z6R8Es?t@?nqP6yvY5kXhu}`G(ez@U%rQd&bqo3m;<6<<<>cf9^`7#5D3r@PN|M$fI zr{BaplteXJImp(gLw2kG>%$H6F|;q_vB>`%$^Uv*a)ls5Qd7t)FZRE?TpyJP0;e0n z`(Hl=@&XkhG%MEJ`&LgFh~tx!AL!KB@oh|$2(-1e<$&DGrc>Sb;K2j5Ih*F*Ba!BB zC|_G9`zkPeFRc`u0tJ3mQUeON*&zuB{Nta(tJMvZ`X}X!IacAtm z#UAi(93PA-C-GU2$GgE-6J8Xk-$JK_oa56Ce!IbJLJ0XJ8NU_`GdoW)c>j|pD;TdH z_JBHBbrpO&h|!GEcrfXn3`14+`_;HD+TS(hTXn(3UpxIqH}u8yQmG}VsJMKGhgIPf zX^1}09S<09y~~#T{i531sfKOm5?-3i-5}gJ#8dCMtvBA@H5#Y2#E=RYGWwhLLha-0 zcbaCfmb&>0^YY5*P7^FrU*btz>@Jt+#$6rzTusb6jVcwx%w}A7TQHKaIle+?CZ_eJ zQH>^zRQQQyb>t^skm@|Yf4-FwM9o94=QLcY*|cfK$(wdQyT-E*=_%&L8VQUfoJTCU zt)*DFySw)R&V%Z` z8HsB$6&4nrbz!wix}H_l&=ILrO#dl+*yT}8KYPurac5_z?uHmQw^6FskrwNG<9(TuJ4&9V^FX~t&1^Xab3j$JiuimB^&N?B^ zUgI7#We>`4QWcs8taOv>{rPI?G?DI3-^XNypWulBocjH&n7jCAQp53ygLJ1+F|P?x zt{^zLxCx*&b{aEd{_pT5+7<#CrrqRwdKBL zy}xWHR*nZ9)nQJ4eovJa>~!FbsDz}M(80(HtZ>PAmtQsg{!_8L?xhzBcv&!hyID)S zX2j9UmKkuCb)kTkJEQlEv-_nsCl$)2tiH>X+3JAEjv`5&=jrPSZ{^MTSJ$Dh9Ns^& zO{YSJ)+(xT!7;OQ(UWr82><<3j1 zREna#bPH20{4c?@W(akI_mYp%nl2AZl4vgGF{%&F&fFcl8RAU+RXst>7EO@&6vi`~ z>U!>VxVQ;lo#<7=PL*qf#Xk7P0RT;%+&Eto49c^BR z6^U$rZQCA1c%RR}%v}k2aCYukBpV&Sw6ZEs6`B&o-FkY)M1A1ec^B$pL8n*N8XFQ?OEy_cacP&5P0*~i(SnjfS}*;+ z^G0;Csu4mG{u$tRJzkSw{0d~&=QfY6$uOGEfF1W6RWoo}ZbigM3LStop;ce9*fiwI zwXI0>s7oG-^Dcisnamf1+7l3Es{d(nbxoS!h~`nMceR$=2g&CUf4Ac6^(T`Z&eBM2bO;6&W2ZGYO&&{C9_tMg z2$~|ZAFF!9t>Ei;H)%9OfkIRCa?1C(v&!*u!02$PoUr6Tv^FeV(Wb+aZg5FH-C>DiL(v0b|=w&SKOrBCR| zwJl1?guePIH4?Cd{_9SewbVIOk?+&^iCuIur`m=~UI-n`95-Kiwbeipe*ga62kKWG zabcQEN(I#G4g|%*ZZ0wLuH(oPrYSeZ<4Ke7=<k1to4p761}s{F)!Id5>eZmt zqdYYSwdXFr?3}2)dJET9MCbv$Nocb=x^R@GF#Yu}0nm~4{n~#Zx74!87cOe4WZOh_ z&(Y5}W+iqTELa^K zog|^f_w=HCA2TEv85xPX3N_2<%KC22jny_Hy5MG8(^Y|6Tbr8?KnaLj|Mly!kUHxE z;Xe_rk00yPt-4c#OTj-Wq)j!FoBTT1NORw&+rEB4J**l-?rrP*hQXEl#*?oO3$625 z(gRYHJ_K&)SW*cgAP@gd<gMvN(k+-H07w_+a)k4__X+X=I1Cz13)fzk_ zwIpQ{{6lpAjvv^+;D6xt1k+}!oI#ZuhMI;1-(nM}$61pt?KEY^k=KQs+jfL|4l`P( z`RD6i_7AcyZ{8#o7Z_&SH%tqP7-d%c3B02*S?PB@X0C< zqCc_xB!%xL86S0W>guP#MDt;F-90MQsvtU4Jd#wjVKclA z;F7nDmgF>$XtibpV#i0|4b1CJ=8uEI$I9IqQk`90MK?~sLSuYLx%>)e*yG0wjVXfM zZUMh_H!Cq$RAl<#CpOo4x0BbyPTPYx8hVJI;IY#vfO0jarp$MEc=*A&=2r98bPwM{!y_n$?=lUvrgp5HD)GW_2$L_- z7G^VpK$iRRA38G#1{Ds3Y|VZMXA?My%pGs!oKuVeHX9xmHeFIsP+N7HI~ox zg+5w2!Cx@e`%W>*ixGT?oW1lxDw?uQWa-*TYO_&jud6D|Ctg9;oI=GsHdYEGWX&~j zU?4b?d3Jgt4V^kK(exc66lzfaj!Za%)*h8Uuh2j>__h9K&TTEBsY!h1aUgEva-@Qy zf`Womfh!!oE~}6$W@mXS8WMf#C+5UW1dCwDg2aQMtk6c60kz;sva$+)8$!RR*m8Z z6&8d1I8yHG*>UFY{Y2lwUG?2oV$8wVlqs*WXb|6#RrG^1dvw@82y*05b0vo4hj;zq zxDIitko|7}M$sr^F%rJlaG*D>QX7hz@K1K(dHGU-;7<}k9|mLN{a?pM z?eG2Rxp)(SrHzf^GA|ELq~<`)y#Lc>Z#(_xr(tWy*HacyDRr)xCK-LcRn|q#n|86x z)IX3SLX6uu&o>rJ{P!$?ci4RtbGw1_cw$)oZT5yz0cOojg4D(yEg27 z&XcCVYOA2m;(SL-kVAE5%L__*{9MAFTG=v~%ht3RQr>-p(QsH~&+b}m+`J{Mipl=` z-k;I35;fiBTf+QXEc;!Tmm2qKCKwtG7|g_75uKwS3v^d_(Gm!lbj%YAYY&UAV_ zp3if+5{Q@ZPJyOj4bxX2n3JxWZ#-zRRybXj*@?n$GOBfLe`A84S6H z_k91|C{u~Y&y8dmm;`*PYUdV9+hf8%_~zNr^E-sQAO0qhH0Ad(O4O*=K?irz4e+9R zA>!1Qywg;hJiR#Hlu*YWj4Tz3Rh=U>BFMH_x%vBJ=t0Qm{k;H5Yinydnt>92A)y2i z8bdQPNhft+;awN`VM%s0d1x@=2-*DVx-JBC?&Yt9_rx_{m^seA>blix48$RY<#RwP zGQ?J?2&1Z2w&@lPn(?lT$Lek+KY<~~(f}WLM9x*n^N=1R;q{br#0tyKE+!f>8Qu}U z|3eb(g6VH5Uz4z1`6Ub94`d4+ZLMxTY!iZ>rs zl_V4t*YyORn-;A0C72X99%(xcNnwz}zKhDaI6E^O0gg$Y%{s#gEz>k8pi(%lKUzlz z>*bE(B$E}QGcItu`RWqw%p^>Rv5ay|nxh^sUvY&3_fHa(^^3KlMZNr|BZbFRzV4NU z$|G}pwSNA^mTGyMwB=fzJx5J7$;eznsqz>SVJ8?m55F||gXjpOB!7`VSy{sNl?fqB z0HoL>ebDMWX0y=wwZ6{n=jZpKvW!%Qu5BV&1fnu=YM_ zqhY*Tv6kwQXzvYA3QW@<+1)LDLN*Mis((3})6UUtkIKkzMGLyLnT%^xhPqRT#SXPX zxa>3@Gq#5CwC@8dVJo2_&1I|Bfl5Uk?Yd)PWBrm}2q6K~(w~m0MACoSHW4jz1mwY| z74*FqyQN!0gP_}sebyRrdL2Sxic^< zqnuRJjMy>BiRbXz1qxFzMzGJBw-e?XK#R3=Drmo_CjY+U} z#@kl}4A=QlO|z}{)j5pmcYiH9XYGAEfvLzeLCNNUY<=fuTF|w{)kc* ze;K((HEZ9D*r(2-0!c5B3f+v?sFERGKS8TjHV;M(T28bJplUG1Vrv0j2>ZUyc{Jz0 z(tBK~6$k3nKN-&~H^=_s9)Sy3O1~`ZW9{{kY!m2)DziO3#D)37pMfWCQ`N`c=fk`P zWZ{<)lD{xyRu))&mrISpB`&|#0>ZvxRhf1vOl149rwRKLmuTg-eIR#}_rg{RH|;Hq92 z6F+41NTK0_)IWXx7(0U~{Y?X0mb+0Q3PW#-Mg2YQb=_Da$(K6gw&G!zwLrJQ8IcO52Qea;*JCkyjc+L$ulTTc9qj?N zBGaN*BNjD1_fF6{gb)%dsjM6>1W*XB1hS{w6t%*ja*B9qX~~5zy89NlWpZM|qIoTR z9B8C*hrYA{c%9GQMAF9#Zgi(z1B7npAFmzI-ur5D zh>@`$_9A^2eoqVDeYHQTXMd`9c!$jwdRC+&;-n4o$V2HgJ1}uhS&OzwXwvo#m2WVS z9a)FFve;fbv5-PhNr`}lo^y;=mDP)JM8oCDi55TW${TMjihNE_hWR(mD-~@DoQ-2x z&Z95=lOzRsc#Iowu8Spcs=mD%%M~}%KcAjhop}L^d;d1gC4LY+h4GdduXlAvUV*qD z6ZmsdtDvX7CxPo=wOMPNCJmw(J69bupGr+tsVRE}K7@Wpq19QgL14sK2p+u1hoC8Z z8-x#T*oUW?MMc6+Zz<^4ilAL=gB$b(j72}K8||X9&6EFEG{u-#MVjra-}!^{m?uB& z1Ew=Zc|tL$h|Zj@sWMXgnFa~Hz1Zd>GT%(hq23SpXv(5{k2c0rQwbm5r+zd0YCH-W zCm8RoOS|!ZVnsj!J6fTCVm=$rdMA+x2!>p1!h=?^lX<^>pdxa<8j4YIrBJX9vUzz; zm$w3!-hCk;9yED*pfWxTAp_XUFMU&3Rp@_4f6uPb-|tBt)|@ey$D&d{1%ifSc{a8m zs|##`28AoqoZEzj6xpDxISD_a_8-m2HBpd%3oqv;Sp=lGR)cGqR-IGc`sOCv6RPX= zB#$Z;FjpzM6h3kY|j$6!#eH}*d$0wvOK5=bwUH`d^)P&T1 zG?r}GyYdYZP3=6vKLyPlh0}Kkn|+J*e^-luPGj~|l2*32;pPjke|wVtgFg9Jl-!k; zM9m=Ap4RxUw85Tapd|9_NWL)muP$!@a@4PY*dx-v@Af}@5CUHwCZL%1iKzS_|8Fiw z;RG7!|I<|QA0**Fev9-zprf(D@tz<4pB{|=&&$6db!2_Zmj?gU95Oos9qs?0^1sfO zf6eOuKjr@^ctDh^=&T-UT*o1l3$?`kM}eZfeTn^P^A%!804PJ%_NOa7%w!=*`O|Fk zHBhJGtxFpDP0kgk9S(-&l5A(Hvmev~#R=#*5?n}-IhAU?0!}O9D$po-I<=DShsPr@ z=Ze(cNtDx@n_-pJ)#m+@F56+N0G9CGym@ompw1>6A;8C{HEwHbd*ldgB&$eSr^K~` zwGS|Cx?xy8YU1aR=D>X4zY4gd5b=;}X|e~W$4@@$z5zxn*m6B=!gZ*z3zWgN%p#C^ zw!wm|a~xJj4x0;!FQ>{(g6!{A+e|I$=%4Z|hVEyDizk-N08GzY-Cv2jsZrA;xKUWq zmv(hw@v!W3!~tO45|~n5>C7eoTN&+KL?ZY0=)7^qYY^G9nj_8*wRk_J)MvSEmUSrt zspdS6x@LT0VuqZ8qwW{o=Kl$}mh0ro)drabux52N$v)MnC`{k+3ZVOhHaw9&q;m}E zC>k!9$0->8_3O)Nk4BU65zNP@0yJVnI-KW_M(pSRN8`{v zM;{UU?$f0UL3#_CpX&fG4}{=kh12I{aDuhnaHb65m&W{v@Nc*RvxZ_*w^yI#IiUdu zi5Pk3DP8kP2d6n@4S@d^Hlye!Kn`^o1-_#<>eGJ@N;~KyNwUpf` zW0(W#kD!{n_7({W;cnfRZ?F}*^_TO3J($!yNC;cuwRL_3y;BO4H+raAt^pIVOuU0W)jV35xUrCu zlClakhPszFHckld!{0xOXB=%mW_khEe|fQB=bzff5-u6No%VnlXT0fM1LqG{uE{3W zd&ki8nuz_z?X10Y4dZD8w4S85z|vNK_1pv8PAt0Jc|ZK=p#7_hHHrStP>O!Q!q`ko z@Rwz0cLeg8P4)^jEa0vJ^}7#3`imSZ7%Z7LDW^c$vKcSZvA6;T2Ad-s<;Ocu0u{v8 zKS%X>%)zO7t;gAvWq6&wgQ=u64i%LtAEy8n??ZoO6{pv_ z!Utz>;QVX`bOl?f7c%|ott7kQBqgMZ@A~53Zjwsi9F96T+b9{F+yZPQFJLWac&i;B zMj$q{4R25gG0%eJ+(#cS8u{rwM=6P?I@|vJJFm|Zc|>OnjY``8K$$O~k(re^m3p|; zA}AAz;iwZubCka~uUbnRbW+smN873~Os8Un>iRY3-gPFLm%fp4V*HiS;$mUpYwui# zy>`8e?dFRT_ZPB4c4i_o(4h|Ry$}Oab`txfx>bx<+#B3WOG{;}B@I0M_H&{WCMo4n z5=n`P#xz$aT_&!(seG_y&hZih8j-VKS=c>Suqy=2B%YZ4)WIOOv2urM$5n2eN25^l z({LCV49~{p05~Gl^=v)Y1mYI0TCyx&P*fD^1qj5@vgSb`*M9WE7e6t~%`Z;#p58#3 z093tS>y5^dvuQ>=%az`|=#scBv%W)6qqg5u{rY!aZXLDHpxE(OY9iCCI{lJlD*57vG#`n2gW?a@#^G?N5HqLzCx*ex8JIQcVQy4)i-! z4<;riP9ksOn7nckDP8hsn#UQOI$EdIX|Fo(aK|RFA^`6eVrG)a?i1|b%FC@$o!ab3 z3|UBst=gKpO-@gM-hD$qq0Htcia^tD1DuWE%(f)^HbH9^4|>VO$IAc>yTXzZ&RoQ< z$9CKRK76N^njAUecrz1zkzG21)+nK@pLiJlx1HIAtd16*^ROTm$K?L?VZlcRvhvJi z#~`^ZqRHp=cPr6f5#KMyT)8+FUy6c;esyYZkt`Gg;X`&vr^o(5vJ&zb`cd8I3qSZv zLOPXTlm*%#%E&|71~`}a#9FyoukHsoDuT;pCW!=fG0iR{Q(DC_`(7ok4D|JxJ(hNM zVPar~X~B=q0%qRs0u1r~+VpTZ1KhdB@inwrw@XlsB5;0H1)MJGZlv{s?#3dJX$s0=_eclKb_QMn;GrrkL@nFB+T~hT!g+~_A|2$2CifICkfbx(YBXZ z&$#LJt#VWHokMe&4;51FMkoHhe7T^Eb*jgJD8DYTfQYn-SJ!#QF{3BVM~xhDvy6}-(;HO z1p;j9=${;L8%H`){8WE6roo^?V|J>*Srle1= zzNdO@zZ8cj48{XSbJhu{r)6c_@Xdd0Q!NXBm7Gnk5s>b~5P8LFQ{Mc~?07?lXonqY~D-8$GF!Y67lqV{|%i}H*i zC42mzo+(pFa!D!_BcyByx}yMa;7@vRPfjgGPcl;;t!Ryf@Qp-5{2xPUNv-~D;svLF zRtw0!>UKFS?5{MoaqWUZLC!oPD3i5?Fzm zmAm}S87+c03BxGjsK>pwU#Z(=MP7gN0tAqkY*K;*tlC)twE;;4pk}SXxGNV~$ReVt({Fo1F%)A- z7og@Ed|OgqCsZu%#HWuokV}C}2Kozyw&BY73NCR)>?ikh6PcE6(!9Xdl1q5nV9ymu zTsnc@T2OlVCUm1-fm3x?z*g#ZJ{YIx0`{F#VTx3r%hO3FiPP@MqMEt8ei$Y=)Q<-= z?x*3%e0AMh{CLq#HYX3}jumIEdnj+fu9CRL&TRUxuG?^U_wiozmt+qhiM6tS$d}*XX>Hw%U_Du^|aR@Rn@>9-yHtY@vg&9=Ls{)E*EoRNXilxqHo+zz{4z63fmv@i9+YA zgOO~~{l0pJ0kQRidiZH%T*Ez+37ajP(M|*jWSz=$Sccrp3lnesk>H5{y( zS1y>FQH~OHA3s}P5|H;5>(%Qv_f~UTq9@aHi*cu3f^Kb8Ah)o2UCCZvD{WgoZ?kIB zeSCa8@fb8_cY@%Q3TfEUaJ{-$GAA=1m;AP2A5j%bjRum1Rzbex2hPh99L92i-5g;3 z<{M?H9XnF}fZ!>@8*2F{`J2h5KR;H!i=UGi*y)!iilxUI(@3VBc7Q-K(~(|!OD)g& zv)##JwDZRwr8}WnDQHB?BTeT!DD43Ukug+rfMR_gwcAKx;7w_0K>`8@STJ zi76s)R>er*UsirH!SG1Lw;PY=lIv~f8m2Bzx+JQ7*ofhu5(Ju0`&W?$#@!xAv7`0e zG?$;3z)J#~1!ksV*em+h@H+2fu;(~Q+O5u9Wxlh-bA@#kWb^Fx_4Ox0#-lk(=yT6k ze;0t}JJp&2AXR&=TtnHt({?Fp$(A_3d;UTFf=v;)M$^``hmJErQKR&qzet^QN0%Ve zT;fAKp?hUppy7PVCW0ORro92otFt)3d)~$_VPQ|I)Xhu%xP+>U2IsKnjof%}Ei?U%?z-5>29ES*<@_{78^?NWgxXhZ0 z9(5G>)g9{4oEsqTzkQ_NMatPo>rRaeTRew> z7DKRE((ExVK^iXgAsHQzxbk!a297)a`j3UglgRO9hKxtBIU7{^j8enbx3~EXE*8oA z&q2EVXi|cdWv5@}n%N9i(>_MG)3+5t-E+mJ_lJe3_iATu%qgl1V9n|tC)?>N-9hG_sB1o zJ8!64FU4c?m4#xHgs!vq#-TTXrXe1LYxIs|(W4IWo;-usdt-0@iM?R}JfN!#fZ8x@ z!`W|ozSQ!rzGeG5JE{7Rt@LMB)j&=j0!9_F@I@E74%3-YJ#YAc1}%}ozJWVe@bSVT z5HcOvv+AbP6i$%}5j>mItJ}%R>1%A1t%;9M^FkR@vV(M>#W-l9%Bj@Hj@AR!4xcf@ zIGjwv-0=D^Bu-jBR-5;N7AGq!tGJ_F8S4q~)CX+FPBO_KC4PzSx^<-Ip4s)g#0Ozr zpJ1Gjq>-ZIs!B~@dX+OVx^oDibK=$I&Q!e zk698m8MXmxQP82Lyu|0cylz8jSI03`xdbFU3Y7T#Yl*C9l+!oD`2?&gJF#GIAdV%1 z16qDufHoton^8J@;uL6%rKn5D+SIP05X<%i>_0{B8Q?O_nuy-c_;u*YdCqGyAkegj z3*V1x7Ny5wYHKD-d}k^dX7^!%9?sz2<3^~OX<2eQ{R^A~0hwZ2|7ZyZWKrhn0=`fD ztJ`hU`?^jFQb#2^Zc;Y&K#eRC00ew)t`B0vU^QCpDL0aPuwl+S*hx7AMTy}cq)q+b zxI5+v)aqFIb0L_9YGAPlVf#uVGI9hM?i zzeI-7ytJW>P2XYKAB<@3Oz+>MIgymrY_@^#pAs5BsKwjb+TvekZVP)BeF65r z8D4@pnyw`j!hnkXDrXq@8OuiSnwqz!ohxND0oKPp2(4~B$mZmuIiKw616gJzvjRV| zr8NM1EBSS0?sBDhf8z3si4}`fw@&B!nNH@J0v#_$+ojW1M^3S1j$2&rz{gh8+%G7a zbPRoiQ|`mdLNtUvAk$rYTfIno<#%^q5Xu3EIkQm>iOl&IfA3c&MYjK}h8QVm@Ub$U z7EYgDgy@X{!uT_?YU#XANFhOMj(=^hHf;a3;gy$O!%1fC%pR&l=t;BFOsdSXJ;Lx zU-|#x2BXD%pUp}rVMIFO7w@HW0~@Uxmd6iQ2VslNgK+Ra*g4?`iDm`2du7@&zXlxZ zr$zjoU)8OeE6`>W&=xz>tGd))#TcJ$m+$o>2{aqQ>v9sfK=KCc9@S8mYEn9jt!d~8 zH0tA*FxbDa1$=EEfwAU=GRU&Yt%FFD-nF5~oo$%)lP%5d+m8#}UaIS8Yxe<&r{-iN z#VdF;X`;8`f;8)=Fnvl*2fbF*#w$At1)~yA>tS}KiKd_Xx?o!kk|T`X`vGXTh_X;4 zx%&Eg-f9twciRTJ$^(3DwGQ`QLFk^V9!qLQ*+GlYe#f zocSK0C!$7NhvJ`27IgY8h`}8OZiHflei*4>&NVo=kLpYOO-D-pPtb6nnGdEa3DkXT zR!ZWp-Q2Pz7Io&?H`AKkj^)zO#ew73Q9B~R5hbc>hqHnIVc#SQ;&G-Q0i2lwti7WSFnF8^qOq`_~>B6S(UgTXDI+ai_6xhyxYUY9L; ziuWsb+#dZ9&m8BxGhg|quK|SsI)YaIlNhw7A%KfGO@4da16m>FmnDOouF(MLtxoXb z1DubP;gkI?Nqs%hezkxTZvSKqpwBL(T^=w^V4MIJuPlh#ojIGI=pEpz-9 zxh}y&OF574^YezAYZ6y(Hh|Z^b6%bTjyG^~AD1a2XC)}sso@B$k<;7gJX^U-fZjj9 zW$)uL?#{>0->DA>?aukrJ8j7UTE~vl^8n@BmTZ0ps{GGl=d8C%s!@om;x~<~*@KOf zZau!53uTb3MeUq6<8ZN~QhbS#a3ur$I-k+r-Wu@~6k2%GN~})#>x{1-399eEc%Sd} zsL0@1`pbWs0O&G6;8XDX_`!?6?o`Vy8adviA?>ij|5+?!PI(_n`I(p5oUe74ymGuLN{jvMCJKx>H zHU@rJr%hXX51nh~tgxV<*BQ3Dx;p8HFCMQ?T7NlS)AZx;c6HDqZ9u&4;>^V<+$7#_ zn9sh1B7_v8HGoXNgO_-xNay!Qw+h_0QB&6N(a2xAT9eu5YhzCn)dT zt*c*D+sWT9%Jn|HNS!867oQ{|$P}M+DSk%Nhffr{bQ$2EhabC>igDOdy~B3c!jC;i zOTZ-gmg{NY9t1kHbc;ocmSh`neUu(I#Ra%B2d!R_|3J0bU+#7*N*2B=sCu`j@o2i> z;Yv4qmNr!fuJ)B({nmKiA#23pv~@{GQC-`T0w#go>{sr19y9q(?|Zi(thT#Ale&eA zi(6*aE3S{V+O*q>?VEbiM_qCZe3iT8PDe`uJ-QiW4QZ>%6avPH_kP;jO~# zr4hW3_z>vZ8>kSd3LJF|1MVlKI_F|n`4 zFm#?Z#lrQUH}Iw;L|@ds&{EzU6vJ!{Xd@);f6=EOeC$ zWGROuyzCKMJ?6Dg?M_*@mFmb|Ew+7=>~Q;KS$f%6ddV+8<^VzeiGP2@53{z&-FoW+ z^3rPMtN+RZDGC~aI@5?r552k>EQzWo> zIA-)bBo|4`Y>|i%Lvb{A0l9SRw*r@yh!KNIiItbjN{j}2XlUp{rpz@*FCGy)Hf@_^ zTaB6XH0ACWgVxvh+31iLsiRLt*!NvY^9cgapFO#G%l2}k`I1%eVznOF zK8a?*kqujlS=t2ojwhcph}NvXHi8`*Xvp1+CO1oo85JR58{?G2Q8^lf#_M4CyU8gq z^yWE>P#rAtky5Sv+GoaE7-Z6d_=|z7-2X;=o=pvDD1=FpW&|ZYfI^6k3 z{)_EUfjNhg=F7SY!XCJK!}PWS3X+DL&dOB70htMk99k_4$UUVg27Fp_x81 zp&XzPApvrLXVmNPyd&rPhb^yZhL1K1j`nN~5{u8Dufr;y?T{agEsZ!^+|bDvKtc6C zbZKYi{4+&b;IuSemja-6&}mw-=?q4!D2+W2FE>&z1^b z-Ve<2SdwIkJ1f_U42Vf^i7!9OM%J*`nh5MAh0)Hzy)W+qfas78h}ErWC2WcIDx&AT zFVO#l@ZVSTMJ6`Q^RD+qbjTaV7E!#?s>=VbYaWwLf(;^YbIlsN6p!<*nxDw6OKF+B zZvwk$d}fiVP;Hi1&;P~Vo5w@>w*SKs5us!$5+zy3n(SMBBqaMb*2p$w>_P}dSz8#D zZN%93oyl63>@mh3LYA>q3>o1$ua^7%e7@iN_j~?&{&`;aKfNX|uDP!BI?iKxAMfLR zj_hrXi~NT>)dqLE%5hTT0d%L&5Ak0kEIH~L{kpUVMZAC)E=SiDG^u6u;fgm?_v>rsjzY7}YY=dhw$trkE^9HNw2qLx3&t7hz&uC0NMg0#wOqS9V+MPj_v3 zaC8k!MC8aVqQjEm4C4RevR({i%VCqV(q*jRO3KF6$GKK$?5aY3KJNeVALSToro^y< zYc!f-e@y1L6Z~KQMPCA@joB%^^pDl~*HiuLZoGMv@0S$Ovp)Q7w*S2z6jOld{CEBS zqvib9UjEls`>(zHA05^q^8eb)f9>V}8-E&NiGiiQ*)(-XnYRqyBhI}PxI_fA9_|20 zv3-c|MV$EM$bV&HWE8I{glp#*0XWg8s+HGKbM9(*4Hf6TlJf+6%%2?OSFYj9oa1<3 zr@1*h)jvs#WvK)ysF&+_wveCp`eWG&A$+FGC_fb}S( z*|7$tbrDtgd}ER9#*g&@*pS0ibssX+ut3pdU=>KYxPq3d`_%~g)qYZ$Lj$O*CLsck zLLPB%$k=KXQg*@jDG+-={ziZbhK|X`nQ-=rcA#9);Z%9)8z#}xLu%??`EKLEu9B4J z=Nr{Qd!#p?h^ynncd)Bf4XQu*vy(qT!$WWUPU%{aE6nc}PUR`>e~o)e1(I0+g#$>B zJ6nwLPo}Vl0GW&h%#ySPDlFFywmfd-zIag#o5&v}7 z`POYu&+@^q^%vY zWti5lXOKG>5hvFrpMyo|-8w@~y?H7mhFz*|*fOB7U>6LrUECg@+Q+W~YgmgEEOOIe z)mtg?Cn7kHMZU5sWLz>Ess$a6wj)&D=`y!k9`H5f#q9#t+j7;YJ-ctqQC=qIGtmNH z0A1xXSW^aH&}5QH5j;lZ(dnB)R+fEq%1*g=AFJc06S4|0NA7Ran@fZ3fWqhcbnw*U zKR(y166B{vEFyscI4XdE1hE)8(BY_3G89cxJmU(_Ke+%f5cLQrfPt)1;`EAhb92w{ z<~E@R)F1+(YViRu8t<1kE_&<(_@fJ>m)qf_;B;Hhxi9YC9Ji#pJD4rn!3Tq}U*Xz& zh=+Fxh1GQckFK5bE)6YW&S_uYmRo-_3t@lTfC19m^HQRnd4ofr69*;*AH7Qvw~N$Y zHvd6$@&U5FJoI@HGp9g}zQkJZ!uK zM2{7K?2YQ3th0i0s;efa9rAd&DFYG^MtfAtOLHFdU_Zxc8^U|N%ZfT_aD%n^Uau1^ zd|r+N9n=ZH%v~^g0g)dI*JnTC27}sG56}Mg3TOvvP;NBNnrjcg!ch^{f8^bMOjw%0 zD4M*N2=V6DF(Wrz4RZq;CZ2%F=dSt}SafV;L1M!B`^wvli;**+-{8KGaWCF$V{KSw< z04Qd#p!++o&O8`ek}A;PC)YtuaeR@H48vx`w&g*mVcZI(>t5HmmPiE>gebFcl6CTp z_I6&5a(JGEKIh8!($zIhTvx4TUj;0W}Eu(d~gS1wi|P>o|Ny&YfZ2dF9n?(jBwY zk>Hc@v@CdMK9PI-`jYX`x^3Yxh%2Sr++1qgPO^>`C!;Q=FbV37;F0!T z#*KKz$Wk?ac_>l?=#Ep8moDKti}Yhph4_CD5}Yp^c)UE($-(pn62taXTL{F88dRuYMI=L1~pwODo*H&Q0lKO(S%GUsCGA5;$0?Or|kvroHAfM^IJP1Sd zuRjmUjy#PLGX2y5I{bAJoI%n)TiCU_u9Ul<9+wU>GqFk7-w!8ZvfR^4=Z_k5_>n3bVr}?$eVy~1u)B(nKgh8c|(1a3E*yQ7WBWYL(NqQ z`|d|6YAT4zPKO+e5dWQ^M$n9Q1r*Yl2L?(x?qsA6N@z1H7%4M^0O8)S(%s_VVQ7?c zWa$PJ!RoGn$2aCn^kv6UWhmq_T*Kl9OqRncy)N<5l2hNN?Wej`b!7d7GFt6uPS|42 zG@48HS?X<2%~R@M>;no$AEcI+hTw?Pi8UvgQ(xT1J)JdtZ?jyR1a`5En6$LV-1Tk1 zg{|4>l@k$@&hc=q95UL!^$Ns$1MiOS>rsz3`pbp|%qkrr#k` zXB|}Agmr5C+e!gqGfA$v?)5wM1!3Tjq{#uxkm3_X-Yc6+MLN-HKc9q)zy58F`z++- zWetuI4`-u-fTm)cx$AUO$kW-kPt{qYQ`ANBrnB+6EROzg*gcy&fDXG^_~qiw-Z!a(kWd&VY?ForK`IA^@8v1>} zm-`AkX6w-T5*;4{8jo4vMH4)-D()HFFUbg$G2H#pG5K`ZDtHq3Kj)hvn+jVaZ`B_Y zj{eaCSOr7YHw%U2B;w121GNE5_Osc_GWHGd@&|#Vz|Gu?obFAo9*gh@Y8(SG%IK1ys#9>EI0xBH^%Elo~n&I8gy?6McB41 z!_{t?Zt*|s>KBq(M+rjF9(dvGdYsWd{22N~Y?~flHSo)Uhm4uhFRw{hYD!wWfMxIbEQgGU5%_;X^#dyF-Uqtdv1> zpzsC3O^8QM9jmne-Fl?tRw-c+SxzYw1`tsRh#7C{n4qd{RqJ5~@l_~T4&9jWDYmQ+ zeSTAxzvPhG2Le7C0=rlIVTBrVbt~k;CGo={#K$bV4rB?_Ks_PGyn&lr%4KA_`spUp zDt&{?H2_5t^O=J6vkRHmh`N68nZ+*uFacPzb;8tj&lK(%YbpECs|*U4kW&@fK(#t1 ztuUEDQ=PPzx3R_A_+8bSf1RArB~~mn^R;5y+Paz4MBX$S#Y${AGX*02-gt^exls36HL6sGn2oHRbG5a6%AN6^UC_7{LQbL(wUhFrQ*wkA zMdW_X2@CI3OE9zXbbhEde?$1pCVRogrQUY<_alJqz(BrtL=+@z$M1o)i`|2LKt=^2 zPlGHX1VO9AnW=cnG9Pp#8hy={_d-4JGo7_XIa3_VVRyDQJ}t}D1!VxgCAz%(wuZ#& zmM}p{{vZKoHwobUJY~J(guMKsqf-qKCblb|9Gr@@BCdLkV5Oq?RvzbBn<@f{ZO%h`iCFQrUIIw#+Nma0dmiG8i@jI8g#lGhi|pTp*CT%NGxpF%pHTSR85C1CocoefWQh`82(-6mJDJ~}=qlOV?@ z`cgrAE5KPdSuWt?LXo0&VPk8@x8*4+IxubSbNi57Kx5gI;C*vGzNG5GXk|1z4S>tS zsS+%%fR8$yF0?edVCi23Y9;M9NGzzy5Zu81tZAPnsw{`qE?^b)IlK3=zSPRmftLOw%}l})OV9B9gbMJ4u!!1q-XOoe?Xy^Td3`_Uasx?K-u z_xGj_>idhtIYL}T02VmTY2$M|qz>w^v79+pdz0kO()EO)=pMA#xp0{uqaS_jAbzl~G*zZNbqnQzGBF_`GtapQml zj#j>@H>*|(02Q`Do5UWNrdS$87?lt*YBr|Sqs55B?2}$OEaP$?kMDwZ6B{<|U<-MG zcQwTbS2obwE(~vF-FV3e$^NaP1n1uZMc;d4_?kUKyVCp!L@H-y)O45Y7lIo^L2-_Kih2gCCD?I!-YNHSXG_`Pl3ZQtDBgZ&Uvrl9?GQvE$JXL8>7E9lzu zTt_^_d^-c&N(lV@ZHDFiwNFtZ^zr9KtGj0w0BKD=;OU!fe_0Pun#EXH!kQqx>LbfZ zq5)9<^`7vyn_O*iqNTsn*2?NfvnD>DfLqHqD{BNcGlzlpHS6fJyva7%uPRP@p4+@X z3Ov(a1hL4Kj*h72`32?J+1ISMzJc?Il~{X1^P0OGv!GexG+FFXq$vo!4co4)jje8p zzGGfN4h;S+o1mPI+iTze^G~DY3-#;W+q-}x{|J^1=TQReju6U)@jIIQN&qpL9+{7C zkq9sWv|nUTuA&gpfw^eJE_fR|RhcA}r=(KJ7%le^VR1^*U_%}n>#*%&UyFbrhLlD9 z0`I}^%eaq%G)WlYdpbfn?gSq$)a}c3bBKb8?l&tOQa4V;UJazc7XT80qtcWOInR=% zI1;YcD{BsRKBFF|i`-49I<86q$<}*vLoG43kN5Z&1j$-b@5z?0Q!|0{?=~0TC1Ei? zgqO000d$bf$@gZCWP)iW7eSC0D}|fJ}Bqv&mM7JWyKbR3IQYt zIq^Cq^nrVbmUHE)T63VcxFUX-ihh&-3e$xOlvU~cfS6&wxKs{fZS&3O8=x62rGfRx z+1k-voS4tus47VlCENDu2S;CwZ&k>Gs;3ZAe3~v+v4(%f}kLe2t-=8 zIs-?}1PNA+pQ~+k-Aj&d`~FN**eNAWihA>}kSk;@U#in_!w@9I`>m`Gt)UZ{e4z;N`HLy}F1<&{k(-HvHDW0wRFRY-KhSRF@nM?ZzoHFqPn* zmr9ksr5);R$is|4opa?t1hZUDab?Xaw2nkbPA1mk8lmh`y6PRp+^fsbbg%~pN>=2u zN%kEpzzurZWfxbm8S`}BSlJ73fJVzn+uDjdx95J0rNSLdY1*ydJvvdk;n=VqxE|m~ zfGs=%`(4&&_aVtx$U&x}2soRueTa%>Ld!wBXUaCB4Esn!2g2yU;A=#)iQ@}7Usp6f zU`FwFV;ki&*^Rwk;fQG5mCp}ZEva#cRZ!e9Ty`0GqM(W0MyMuP6s>GKq<9-){mPXl zf)DmeyK)=bu7q{Is4raEMxi7;z9LeyJ+u(2g-)X|(+rQT!R)S(rVO}C(`&p%#S zFZHY5Ih{g)+#qw~p_+5;1lzNqu!2oE4MM5$^SOIl$jyzrXW>DjotYq}_B?7uwj4z@;By)3a%P~3Xx!qveX7}psZqgaPkT9uM-fsJlfw;L zk`7KHy1(`nC(lUc zE6J4}ktwMPGvG`Covn7Cb(ksw+ebokMPVLvvvbCluxRw^MTc|RT8Y$5lV>;DL|n)K z!I0$|39p2hVUfCE@#3#ZlLLTr zvQ-O!!cWv;FS_++UyA6x?_VZ#3)7f4J2`~rQ}wydBc6<_^QJIK=FYjRUwdeDmX%4M z!dxwjxAMY(f1S9p31oJ8N#{@(jgZ_CQNnc{!Mx{rKSv8K)L8}+hmtF+1A%^@(o2)i zRWd31cIOZ!Oi8*KC(Vvu3vA>zw&5lQ8Yp+_+3YB#c+#>6xuLdjJ;^eIrjhYAs%Gu$ zKz*igy?lx(?=BD<`#4&z)}T$Yh@lbvxq`)*F%O#CymW|Cd4L>sm=CD>JJA6JH%eVwVSkR%eNlY&{W6z8K_pE`t&i1!j~@W$(4a*k_Dc; z^v4`|fM;Bt0nvGTafKH+Nssx0w+WsWzXCSq{WdIz!Cv!g1246Kq;d{B-!f|?8H8*K zkX2sPL^z!s8sN!up}Bkq09OqMZ@{1d!4yegnBCr+ZzNh91{Y|h)7@p2LaMd#V)BLT6%ajJfHqkN zq#x>DjLJ#I!Cf!XA?7g~7{PET&@^W9epUSXSlcVd&QNBUIgz}=y#24elb`8Rc7mKa z{1455K6JSRzgN-A~3DT6F++8)>n?uvBgUjzFNpl z4UgM}4I+1;LyV0-PMpBJnlFm$qu#tkrXY=`D$wBgM0yDGt``D%>7+5RuU%V!{?@BG zC;@Erx!}(V4T45RS=k z4bwt&$trp$Zd-x^bj8O@qJjJBfU1YVeNlezPBN-9{ZF-66_5jBf<8RZ)DHwQi)NOS zU8ywCQ$j6sBijK+7d*3@W8^#}ujD2Ftar&K^<9@@78G?)W{i%ntn5BM$@>}h%3wdU zX&fYoi;!~R8zM7XdV?CsyP0Ihfe__M8B6Zxou=JaPpWsduR2Kf4Q755NI|4;z7_`# zE^^!f)(-G+7&&4Hs{YY<$=Z-u=hCWfe9%*Q)H$&4wAhO8Gsnd!ZQS#3`Sc} zo>H~(#FzT|{X^##$Ur3E1M5ImNsgo2>OBSxDloD}Ia|B{VE`+Z=4Gpp$E>f{{4Dj< zBp7ksU@_FJskt?fsqX$p>$3pd?u_9M7GbP`5=wyPP;6Q?) zaTO|q5&60y09elfbVSmrGX`Cs`1P}-_pb3d7To_Tj9vK@f8LZq@Gm-b{*mVmw(88o zZgMH3eIN-@pO5i>!adQqGOX8AHryKUtFd)_Q8pwq_$}C5O7viv0xkps&g^UbpLwzB z&kom}DQmFhSl(P!CQrehjO763j!rhYIxD$5S*?waqyV$ymWO+Dc_s~FBF4{xubobJ z?@U`ye$dGwC94Va{xQ#p%p{U+TlD*sdZD!Ev8FX40C^ppglJYku-r$N>y!|GS zpZBV{ZfZqEe`aylSD#B1aTi1kS=_c|4Sk{Zo_QM`4gGwTf8pnyub}@qnLAaVa|=|A zrGe9`JyyNmOW)toEz|BmC`pp}=JynzF@EI7*r3LQ)@i0KeWh?5I_)m_EW=rO z=`)k0ybU4ONBPGu5;=3IE=DeC7ia9|iW_Z!=!i^@P%!YR%rxSx&MV z*+wYKF1`U&VAHg3Q`Zy%bF)W2>D?1heGI2mrPHv>vCBA8C?b67rQ87+*FG_hd_fYB z13fNJR(Gg}tXoLW&c>EZS`)Zr4s|pEdw2~x+DKp4V2__@Z*Hx>_kiD#Q7R`HYC>Xx zD9R5ZfpWdWg@7E7Jb^h~XmDSLeH_4M=H~am0N3ILO|^^z3hhQGv()+L?`uHsRH>9f zmgDV2`l|)C0lGvRGy8|T`n}%#_m#XB`#X#tEFZ3jUk@_*I57;Wjv?bEFpBSCJg)?l z*sXk^kw}}}69!-Qf%aLPxewsFy1Q#j=5waztVbDTt~;fBC6O!)=M@k-Q5Kb6(QJ8s zsTV1!qiV%WmcQwqjlK$UTL>)e1YoHP@&@F)a?^4cE@sbUgFPGGI=P;%IAUY4vNyL!6&r9`&( zPL3474t$_Vv^7Z9g|i#F{YseLRNG$B z8fZY4GSC|kJJY;Z5#U3xqgdkidM75mV6qgkNX zG5xFx<9F!|n9y>a>v-C*9u68?qq&j=z1cNQcL!ua4dTvx1>?XWe*3zn%K81`^?s-$ z{D>cx@oeA$Fin6-ZjX3}pM16@v6LQ#NXbrtA!{1_wcu(Kr9GCZ+kdhY4zQ@OH5`?o z=e{oIjfR^5VDS0a3dNYJQ=l3)(z6iG-5>MWeAc&7W1CbjzkVV|h72p3Gh(eBk>hk@ zWeSuWqmg%#n7P4AswKAq6Du~saY7x5asi(lXlW==W#T1GRx7e^ry4<*>Y|4Q1ZA$2 z0lT%D6K8W;VzEgaysQmG5Sl`Do_3kt7cPm^{PYdaYc^NL<_9A1J7H%hgTtERCu>&# z0(};n-1!5-l00fNgVj<&U$eu`%jL@M#IOiZUU}LT?>q;l6=O#3MA*pyWmxh68!3D9&vz-({aayw#6D8lI1tvPff6rDDhHw+VybP zsd=fxPExNiaOPfZF_6wh+9uNSnk)~F%oi&4yH&jz2CoADNxJF{sz|yxxt6;?(#@Jb zefbgr+U9&8_5r=! zY$6mSOrBxd3TnzQb%DzlCPxhCpB%c?x@am!PW>143XsStmC6T_L98YY?@EI~pRtbzv1 zU?6OY9{jMr(RUnl3nXGC0v;>Jv6__HsG{*4qf$MBdzMnY<;X<`&Ih1w;i?is-4qSL zcWmSRy!(Oujd(xU%|e;cAXu>LfKd=Uw^gPF7kC>wZfITnLir{96BKzz^O1oEAazji zkwf$(Trvl^VQJUJ%HA7rhtk2wuSesw)vTbR=m3XIFEg0^Q4*h2`Wc^QlYYKB$r7wz z@rWK76^(Fvt=WNRb7I3Lrb+J=1%jA|zBTYemSMQqDy{zLK|}e}IuHQmt#T14ZxHcs z(PtjFX|S3J%1Z!s7a-2kP>hl~&e+WK{62k!8tcH+ zYil3_p>Nsy4wiJiW8ThUiKX+_>AR}vvk+PRt?uh+>P;cwY+8pN0zS`vJ=BPCJ4)aN zKK#bBwQUeLJ!$$l>QMwJvmFSYGP%0Vl!Lgh1LKYVh}H|9+;~!I3_SYj5a3qjx3XNf z9;(%T6zmrTN!rNkyid&4g^*&nPwmQ4sGVsue4=`-=4+jdB4BQ;47E25s~U;)l#1siMyR9%4!dI0i?b3UU$JY(Z=7s~e2g5q}V$ZEvy)Cc2AH^aOH zn}{MsrJM3!-;D(BgHx;YT}pp82iL-jYd^ml@$i{@u_(6>q_SbY#C=bP#;H1Y42`W? zr>>(VD@zQVe4B(BT=f&M5M0n!9ga9-IhlGiTOjvM&~DY=*0b*H-FO&wZ` zX0wu9J5v+3sW%;=WQ_Ese1jU72?$Y(?CUecv&80asa0Uz(vaXE`9F&noFw}VzUUiG zvi1vJFfrRcaebV%5D_-1?0NXev78aBA)jbE?)%C;M=y9^w_0m~lWu3n##N8nCyf~L zdPkePWVb=;UUFdn*;ebWP&hxHgQSzj9H9MHY$1wO8vxLFwAF&8hSrY^7CX+`cYDjdZ}7m zp5GUjxo(m^n}F2^wbWW2kYPUW+bgp$7rWN)Kzp$k+{cHXe6TK_6s-CbGEf8>UcXi( z;WP)NHdYGkZp{h#yk9Qp>*{b~bIR4U&7Qy6p%AOy&hMmDK0KbV;H2m0xedcckFGz* z>#is|6vzFEcm0y&>IdP8SPC2!ZIm9TkPB0<3YZge^n-2H)$i%u0ZChx=^_WQnI+Dq zFF!L_6Uv#ZzZ#^7(TY3v21fx(Z`)KNSAx*M1`xF_*O+YkZM#eL{} zjgC_K%;kjFk^$EdfiEh0R=gjqV?W7Pq5}&c(XcZtJX_uXaaXL@T70^f7koJWL>Q>E z;S`Q4zue+Q5RFLt?8N5I)Lg*GYc&3F!VVzo&`-Aou=@#n4I@)x%V8Wl7sZjPOk;hnfcWq&*fg~kjYbD4usnj^U4cx#$H3iM0_XT1G zXz^SMK43|()H@+*9nn(?$0m*^6HEiiT9`{uj>cEzO=~kAB zB61+N_Dw^Vy@Vx5W&LA4_wZ;na_U|D1{5@yh#t_Kj{>VRLwn`)|MSG=A- zTVR+lwN~LYH~~tpRfv~VH5C+44S>1t#?ILDYuTJBismQk%D#%r!A2ktn938YKv(k%b)4-68AS>258|HF;_Sp_dW@F2W1CV*Y=A8+jU z0)+U3@BQxr{s)u!?*jg3y8&D7|2G!s@9iPOLbydVVGS=LK?`;YK9 ztwDpif3_JY(bnH=#0G%luO^|9R4~{YX`VM*ZYO@a+VR7ADc?2oVH|GmTHM*ysxgG% zFo>_Q#V#9+2__ENv~NTITn4(Jju_c%dFG5&MZr`sM+)VZlR&Hg$4!X+?h3|9nMa#J zhY`==znH#?FLVcUBF0$vd;j!U2wiJvavCJap5S~ZUohR`rb_+*5b@o9&Q}06z}1TS zm0L~s$<`oZa&}r!-QccGghoL*fB`lP^Au0HjLn70c$$|WFy+_tXi>tR&7_No%R|!> zO)6VbO&HRar*HyI)U)k8ZxhT2Wxnw^0j`Af9}!&$A4^kEPD;HrirIV#^&0+o5?N3q zn($KP!CPHiU44wr-Bq34N(Scp2lK$`%gE}}F}DBX5iFF6+0I3^ZB$f(hDMZUnSUhN zk`?FN0#wE|z)^KWwB7|$cg#dL2Oj)s!>TK@0(zVVI_vePg-e>O?U(du8H+q}KeF_* z%M8@20Qy>3sLu*H?HgHIimcEk%B_U~{zMJ4E=e+Ug@;o3|qNtWc=R8gcn0(_XK>S1N9*w2bm6e)PyktVoXkYoZ4r#g1eaSaGf= zyy)!fP@dHr zv=X$e@Wux$o8^i$L+$9$NE!-~ADeM)w+EqI2S$0vvij~*+7%Oun0$-RVGJ%i5AgyY z$RFZEb(S>4dYW6Bs=EH}ZD4?DQ!t;Q-&(c@+TQM-3%x|1@8I|;i`Hi)PXF3-(C$NT zQGD)6TIf~Wb(!i*Bkc{MjRMX1>u*yYp*&CI$_`h5ez6v68v6)hSIVMx-|;HWWFyPa zkh07v86?4uhxu_zG~}IffuHs`S5|XCh2|dBTW`xVZ$V#ybM2aIL>>M6e{4JZMxH zZ;ID5;0K4{v{_Bl0NVeg`0Z(2MXcaLlCh;9#@ky%Fi(-{d3YGTY>sysdB`%im~YNI zSYL{S%GH8-s}ekk&Ahe+zGrIP2dA%#r=)~UI(EilkTAzV zoIrmyn|XQf=jujDmKz39EeZK9rn~w|59`^?`?1AcCUv@%XO9UT&uKU&fp5{_*U(4# zU&^?HG+7rfci2VS7_*ls{O$cjom*S{XhA2A1~D!PJtQsMf2 zi+>K|)6f{u`+~-| zxSS6`#e;jhyGD;_PGw2P-I0=XHLv_@MEGxhrWE*1TPOd|4-US^9k>a?cp}5W`I7B1 z<&ls!mjA^g0Wtp$so>K)YCh4s(6Q#I2ea*QaWC`bGaSq`D~9mTU}wq>2hP+?4C`iG zs|9@i+KZU}iW$Ha`>RsQA zrVR#6o*G2|Fk9x#H5Libm=c!Rgj)R2??|1{sYYC z8JEAC{5BL0|S|4l9|(aPcQ0|L`@CmZl}1w+0&W}J`o{dFyh zN3N>x57`8UP;UP?tiE;s8K*e@LjPHx&Vov#aOdvK_xtfg<-%iuk-Avad)M!|PIXxy z@`FV?;rvHfPT|6|ohq3sh|46qC!r6j?xc<3ECKUw=_z-LSw#n&A=dq6n<478mscXT zMCEVZ{S$yQ+TL$I`3gGFudskJz4!5Evh)W?QcB@=->4S!t08}pVVzK>bvUXcfwU@= z%3;yNdD>UB!{|Md#U$7-fpu99b*!$@Y5$GncF|d?2pN3;*8_q zjPO??g%Wn!pQQR;&W1hU*YsXZd&l7L`IjnI$XVehDYsMukF&_#?n~OU>;ksZiprnZ z$bE>`yGPngWkJJ_4Tl&v(#-iS))&=r@m1focT{7)9k7hhz5CX(S$c0U|?*x^y; zD#`&P@0E_*6;cLH>kccTjBr*|OP|`yxG7ku4G1mD^G+2zmrV$&mA4IEnGlkm{Jj8x zLj{1K+H0Em{*xKd(I~~IvI@&Q!Qh;!)X@Y@Vika|>-z3}mUtXc=QeX?8?dcN;yk?_ zfBjshNb2wSP+Arf8eQyT%q0tdMk}f2%hj?v*4ird@u2}4W?2<*8k)9aqt&A96^fHh z`cZGQE;jZ?lc>v@v(Iw4XwN#6$}s!aEd5uc3A62?4}V+DrW={}+vD_vguJqjb1T=b zlrtCv`HO(q1`jm0>YlP|;0| zP{^4^pS`V@uabmgW9k;JC68d+e2og}sp3#L#XM3O#}U!}YDn?a3%zM=1|`$_v20!A zI$g8kqI9O)$5zHJp6Zp1sh$h|cMT}X4fc{fz3MRQ95}F}+JzUj_AVS!YhD8!A~#i9 z_a-tb={+7g(2}p%1+4FcOSFSOU6BCSG!oU5Hq1y}!Ije3oRtJeg$oW<$7w%JU=wX} zt*9j0;bv_3m=i-E*S(jy`)H&2YUK@cEIylz7A54}gGcB};q~4|V542PU@z7OW~;b# zMsB&V{4C5CZ;~J0M1J{vPHvGkHY%VeRZ2?PWI#0)08^AlAZRo=&+ePZ*svJf2(^~L&|7du~rw$jNppdGNCbmmr} z1T-_h4c1DH<=nCJ;U}}TlJKO>TvW;>Cq3!M#y<_n|71z_f&^+zA4awJ{EPp$k8mPJ zNXuv}^sWYR$!yyY(TJl;Co1JARi544qcTMlbx+i?@U5)t;YDs;bE-uN`Q)lUHzOU- zGcYyztq~?EAljj49DX%}GFcq|P0Q4phE5PB%1mEN)&c_3gi&H694(STl@w3bOn$d6 zR`*G-gG@j1VdbW0l8{OE{ZzQMfT&|LmY$NT+_y7Zr`r3H$&=FeMfwGe^XTRxCnhfg zO=yfDr}4_TQOSFfebs8j=&3T}w|^L2(8}cT16z4TGMv}~iU4NS4KAbNP+O=XNO<$} z>nLGF%6tcRoL8c`hdROG<4>>_7pHtJ_b*mq$D`datIy(sg?(q7XA;kfP1K&dY6jo+ zo?ja|xvhve$r7h=FHOWntIIHS-siz@tB$xDOGIQq6_WM3O_`H z=C)G&s7o_!Xy#fBo1xqD<(6}2uEkYddhvTJ2?r8(<&Ez5ljP|yo2CULWJZSJ8@Zgy zn3IP2N&$577Yzyz1-g}RYf)wRWMk6o(yn+}=xaXFInh4E@~8s;fd9@^=d6BJ{((KE z2sC2(^J}3x;T)(FB)vrWert$XoJTXgUhi{RGSev}#^d#K|AL7wgoWiUADO!M1(`$1 zS7?~79awj-wvsP-b|7hY?Px*wQepMiJuaWetn4a3uZ!*^2Xne5-3j%DrS+JBiWyJ~ z@txu_cRdIys=V}Z=1V$5Am2TLm0)SF5Bp*Z13xWkM~H$&UMtr-E!10XWFDorcU&9EG~NA<}{8d&Ec}EOYCxS@o=J~8Cp2^k7x>{ z8cM?HuNkwbYDcXB5|QeiviAb|qf2VrW6mPOU3x7}BlbymBH>gLKiO)yaOILt^3d{+ zNOj)2yQRUe6owibHS?LT@bA$Y*=!f|aZ$qbQAV&5t}KSzV}l0>)fX@Kt271Yb1-%G zzg82CrM+ZAdjOnpFQ7S?1sNMEfj~aV=(`K__Z(9cCrDcyQm*C%hx*)ivg3Eqv`Q5C z?9%f1RDN0-dm*<(qsIG5gE6FOwB1>1gNRB3S5mq>*_G8aI5#{{<_qiy?EB(i1JzDA_wM2ox$%SpnM8;P9m6{m9dwO{NSW{dF^kJ#eCaY3cCcJ zN_J3-AT+=DfFyf7p5>Rp-lT>aJcVQ}kp6Uv*MRzCXFs5eV3xfONZAk>+`uMfl(1g5 z&9X@we@+EPUAU`K{Si)ZN~T=W>x{OB{m^5FP390)7Q_7K1x#KP;fmDmO@&phDhD#c z(K@TN`dbHFj_S^@bie!~2(mHexYC!hg`)X>xqB~%5bJ$;&NIgff>Z5jOE4>IregyM zL-*W7chM$R50)N3H_!9sOaupa*v0$fNJiga=e@&Xe}&Z$S0Oh*f303ifips%fah)- z{FuE_(HF8xuLCkvs;7;nl05T>rK)i*9+Yla+;p?BNmchitgw?`;JQNaM&avm`}to> zU~ql92)pJnwYTPLcJTVL#K-+TIl%rhWiQag?_@pzxVo%yWnzleGtDA<_f2>DwlGOF)pg|K^@6E~_+ViVL zrlS}F4%n;ZO}ke%O#@D9K-NKHjj(E?O#+P1=W8n~780R{^ka&EV8B{}v86lUuD@`0 zaoHrWxg4ye1@G@XCV=NXDP{8bF-?=HRc8qK{mT>@Dn$(mg{oErYZ$4MlLLs3jw4>? zGRO0t5XBFTtFUE~%@SH0Mmi0hHnjw?Ii&15<0sxfO#|+}gU-CHA^-X@I1S117?8>=q&#el*sr-l5TWIA>@(3THdosAPev-~_&-yEFWd8s?Du&EDrr6DQnW&c$D(jYaBb;og~$#m8LjZXo1CR zfr3K|hUEid_VZ}v zhgUzEZi!I}UW%)vzj3F&=QBR^ayc<%@iJWL(bmFc7q2B)wMTu{%4h$*E?(Ng$A9KG zAiMH<2^2-K(XZ%!`SpHE@-44>U-oYV+vfRwxRTAgtdAc+V;MA3UX^*-yu@glk8R16 z>{IK@t-1sXtA@F9W0DH`Zaeqn96CRI!S0p=&u=>c zcR7C&Z1x=?)04j{SVPv1?i50(H^KZ`vx=Y=BASv)N=e3w*kV|7h`;h|1-sj6O)<6+ zx@LPyjX$msy-RDN6s!VoZmu9|PYfKSl`Eb)OjONLPN&PYM13kx9{!7lJ{%a*4J17y z{32B&hbBLpqxn_j?hB8QgowYp9ylYYj5O84${@zPI+wD z%uQ$S#MY`q;5m5OqogjhH4lusi@uNM-x6vXOkC?mkM9e`f|q1)#dgCL z==wHG()H>FyxRSFB~8@PBUuH7CdJ_mK2sTugmGsyVLYIOFcpx)-tSN|NmZJ3?%1SN zlWR1k=fd{}*U$vP0?vkJJXP8xAHgZiwZpVgQ}Md&-IA_*UqYNu$#!RNEjux-{LZ|g zrBFQ3+gcCG(?%wiqLbl_0*v(3aMZwjw?ClI$oFODNpR zTAM2$gZ_W$dds*rv}Sv_rMN?Z;#Mf`?gV#&LvVL*kzmCs?ox`oOR+-nBE>zpyO$DN z{^@znx#vFj{k@;^HJR+aW@gRowO}l86(Uz4w9YEPPJaKlEFuB1CL^t4*$mUl09?r9 zgRx|5(QGV;&Oz2iD@?=0M{Zg!}4`h%N7@5$%6icLNZ1nft6K z*5Eu)vCC=mg1qgd=MDPNNkxmwrlJ-FPXM$K69yF)aYAl=JB>ywO|TkMT7Yp}Q!>#% zg|m3>(jVoFrtnlUm;?ss4e;E#2mwK-GV4gYrg=RU;W1gT;U@^Ad}sYGrh+B3bY*am zc&ZGM0$UTvzH{6kyb=L~ZLnH`g2FQQW_|rCX-zv#kqc9QM+?5m3!>6>Lnit=rVdoOF&~Vwdhvc zT!eN4v93k<)qf+N4MJoLEd{~%V}Q>3cRy4;zGhTD82a$r_XVfr%ifpm;okxuWm=)B z_3t-^4mzYa(z}=L3Bp{DEPVZt;SZfv0X;h~+RIx=H4MEhF6a%tWv;(3^Lj>Irgs^} z(TTio+hiKdXWnFtf2CAo_ytCj!ERPStI3W6T6VST!AX<7yjU?w1S-wnSs5lxh7D9u zy>Axb8GMRq*7hmGxB@0Xg$U`hN)eF!;(?IKC({B97Jx*fAT#Z>&6T9QU3)2|X#koE z@4|=SU4m#^MW4f0iNVKe<&59G$ir&m@IDX$(Q+N> z+n_w(?J-*|i9ai!Zo0mOyW)bfSYvszR=*Q+@!jI<$5z|Y7x@Tk8ojbDGZT66XznL} ztEG!)p%hlG0Vs}09G*M)*qR+sJ*wJV5*{<14@6RoX2>xwAnJ4VY=madS8V!LJ~oPY zt=SRo6YerYb0!cA2K&17LuVFv{4WhhX~}c8-MtM6=o+cBRJsrg2&D%`$y~@k^yQ!M z&cwgaDgC>heQz9CRI%oXrqk}oAjx;7d_G!E?ato;t*nY3?Sq^s7XG`6>TRjjX- zYq3tZl<&x7!4-ONv7O&rvAh_O2)_HR)+uU>Apb#Q%<1lS#t1yCEIL~3eNyH}VWGvY z_N@0=jl!hiL-7ENKwrqv8yZQz8@|@FVUW{M5c{8U6iQbs5YzI+f_1#+&F59BxFji& z(P)2i*Ii9?{E}u(HV-=a1!VT~wyH0OqQpLoUCUec3WP<%kW~tocvXTF_k~T|G z-imiYQeXcjJXt*$vGGz&uKaf_GS}Zp1BR#KZ;)Z22WP1G_Yx=>Yv+#gew9Aea*tXfn4Q=gbJDcZI)#gNzB7FLUrIr*8^N=JDY**ejYF$u*f;o(M+jGYvDm zDQ+$^P%_0MyGE&{H*vWC`DI-WB zBZd7K{f{o66tM^=aFsNfq=Ybu>;={#Rhb@);ZU7)V&3JVSvZZV7ynF9bDiL4B*se! zXDbYuita8wGEiO{-aTfd26mAP*CRy-@et5xGG1*+I%?bNmF`6yzodPRPv}F5B5(Lo zHI6~HJJov(GU}G`IUg4LQh3BY>>E!kFa*NGykbFuc4;UqP6SiT`RqCj9sSBR ziYUpPs?fPoQyV5hget^!bX6#d!gAf^DXd>j0^M7wELBU6`jee`O1su~O>(DHZyVBD zKNV_f&T+EVW@>lTkcv!JcV#@yOifH#ARcO1uYl6jj`(~O3~LzLaEbs`xS1#N-Yb;~ z41U^96}`CEB@R*g@vL7*Kv15=q^m_fCU+Utt0f-9qjwtwKbHI3+x8jwTyIXb ztrUL_PEZA!6g5U>!mRVK-`kPdFbwzJYDSZ zXNDDD-*IKr zpzNZ~=s#@%HocxW%k>xX?D|yj&}MuScMijm5C2!21Vz=)+ni``T4q3Ph-x2I_26dK z>MV(D4!9<&G1LhtHT%O#0T3fp%tNi=`3rwCyOh#~Uvr?zYj=m25|)f|dP8o{=LuEy z-5}h%quTSuw|0;Jy!HH3xaFe43W$o2WA9)hJwB-Pp`~zk$|O2%(iKk!_r#>4E{Ph% z<6xqho;v56Zl_;|L{8m9&C7!TeF2}-MMnptvwp05m-b^BNZK^$(vmfbvm;ut9Ox+Tdc9x-@U zNOA{M3<$fIBI`R*Pusde`G$>ap}_Af^(W=@{~)IMkTIMH@;gow!a4-Z^RFQ@q3g-F_WR0sX?L|&(8(=(Vk#_K*hWE@qaZvu>JmOy!S_3S(ZU3bdIz%}! z-!M1|x~tcB?gl`GN&zfqcUR?|ni6)({Qmpl%q#moPCpMbss+sX6di2F9L^bJHCh2Z z6YosQiauM9T|S~Cdi2Ws9ThQ~q?4PnOjQPao=dfJR7~D6%$;)~=B01c(gvxB;Ma(W zj5-B=i=K)-v`THH9Pwp`I00i0TSZ-tclE6fa4DEEG`tUw<%gxqnp<7sKb<{u)RF|% z52Ii=5lFMZ^~ZVI9_6stcA&sklo}~FY|=7>2H>g**q7ZZBFU!bIL{IPZde3q%Gfp$IcJ~sp8+x6mx!Q=!WOTAZ>Jb7@Tc53@IkYr1fU(`owKtCb< zWMH5~+o^KV$zk7IT7BwA4}im#gYQ>E3VrZYvf*2P$6j(7g#%NTwx{Xb@EACK&){mL zltqJKkFD-jc2D~^pyIj4e)DllD2ZiS$%;=}+pkFr$loJ~Tsjn3Js~ff=_manFcP^^ zuXAR!Y29QxOv@<{0f}U)eHm8Fwyt8N&ef`fC(j-apf9Z6srs(57z;J?$k{Z@E&sr2 zgB%#8bk2)X-oQwbw+y=9=iz{JX5&s0MJ&iV2dS>2;`0tH7tHwD78T-0Sad}*AbW^z z?!?{QR}!s*yk6LQjxEls1|N`Wy$W9Ug;(8oI*{J>JLT(f8BL9U9yG- zyjr}H(4J)lq@#P*2EPgaLI<%aI|e&GjOisONMdZ|LkXV!-zhy17alL-cR(wqo;eXd z^LiS&Shtu`k;98_RK@3xo@%(erCyCznL1{41&&jS7TDqBW2kL$I@zT(RdlIcnCiWr z4VD>_GO4kBEKA8%A2?dX1TZ;1qi^iJcMl8=IeM%>{ z70PqDoR(?cM=|fuQwiuDKBdh)sQ@MZhAZ*ha8%6=Ohc>`t7aH>=%aEw8thC*RxeHL z2M4#4+}*94NVa<1lN=8Q0wdK$nJ=vo0bDV5k_S&$t1}E1c);>uP zfB$^kj*?tutF_wMc^1v1v*LZ)Au_F`fE`%M|DrpWNr9$?+Ppr|WQH*9vkAdu5q~WW z8ZPj)w(h5QDr&FI4fx^V;7C zvJXgd&b|nqwdFhtlL$>ZqR6pUG|ptiTueQ4o@{V$N;*yl@GCp&a;(|GV3YwzW*V(z%mQjW2xaH^+5;^ZJ; zIbb28DVPJuSVV0ef-ZtH`^L4o0%^D)J{UXrYnnbyUU}`^el7dJrD+v>9$thx1+i1@ zw>e;AOzD~sT&X27`Ea0uQ^9tkYU!|reaHC~QXwCQ`dk_Fk6>t;Q^>IQXRL3aB zuv9-}NsRh28wqez6!D7gh)};EIy(CNE{#>sHyM4*?x?2am$Y*v>5rkA@e~)EDXO^&dlcGhW>qXn!)xym3F980v!y2cj?}G7%fDj^`*;Cg zcrMA44n)V(z)J@1zm7Uj>iZ_K#rus}oVeWit7gc-&hXsFnF>?7&l9}@INeBj^U0$& z*}q=-!3^785lG_p(;ZmSmjp_0MX-w&h%+jy50eVvuEwc;L2p|geU=j_jfHPzW4Gwh z?AvcOS;(F{s+d*Q?x%V)&c!MHsdNGyti+WL^8P!X|Adv}Pgps+I=ugcH4B+$#6)tu zyZ?(}7Fd`*2@`Ae&5TFeujp_eRrt)wPgA!pv1un2+9Ozc0WYU)a zPwFjAy|t!g(2}duhPpa(gyt+O@KtpR<;*6|V`TnYqGV*9mZvu?+H3_SIrSrc*WpqH zslWc`oRS7+1%3p-8nQCP`L#q*Ij07XSn>OcO2!rV8c}*9uQ%1wmk;gbeAnlOm#&1B zeeT{z(j4<^OXeBD;i;a+z+b6@-Rr#Kzwl`+-@`Ur2;cs|_U7nSTd`m%UyUJ*1^(!F zOxdVQ4(GBaO3fpmXY9+tfp+<%_ z(ccZUw!N5GE6(b(C%f|y&l2cvxTC{q^ej+0o8pY&S>!p8zuKt6ZwXONwMhCy~HVZMoQlE`_qvW;@z=qvVAeYbHLn;k)jBG$A$U zHOh8wvghwdFDE0@dt($`1SrjY*mncZiC}tliad*KWR{f5+nFTcPU+)0Kgy1ve=k*K zn7Hp@tci2Ae<03br-cLad;lx7t%}2N_tdBIdRv}}LfFAPJZ^DEQr6+>+>~irAH06r zrbf$&*kyNFoSSCq_7a8EJPLg)q_%3>)3uZDJExCLdsRnp`+2^bdm2{-UI;a&G;TE> zepoa$-Y}tC`UuDRd+6t5nd^CObK3L=k-q@vAKXC?)C#lLZ!%u1{p%|lMs;Z()W?iw zqoigY0!l^wzM&iOw+YX5DmUfp`36ZvN78&}f9f;zpCc=wQ$HsaL81!9t$erDVWiQ+ zU?Cw$u#_6^=*E-~~1z>&`(U|}_) zxxPeSmoJmbR+<1cNL8UHMv6xIW3>=`1+rRiJ&*U*LX5)@#PuJPBn_;R`dDYbTiq7i zXu}Mp@Hj#l5>N2%cJuqyLG@f89amgSomDt!8#It~$y|wvp-(^;m?^RKY4V8W8r}eP zbBoU8Cn3e^2c3O2ujz}nO9Z_L%$3mzn__9qAx6z1K-nur>L+c~FiYakpJ{qe@x&MpP)-mp-Ll|dNF1!qZ)Mre?Et8E=Ycdf zX+Y(Pek^O8dIgx6`kbLTuTu*m-@9GN991^)|YX#saNEkkAdKAzgnpXqBC*{(2N?!j$PuCdW)I5`I2 z%<90%m{@utZ4&!T$~C*T%hXpKr%^2oZqa0SgmlWvs*A`?2PdL1UtvkLWYjonPSdYawmVz|4a~Xfct>-nUnK^xk&@rS=DY9() z4l+_9!AP{=@I%*9rkFIRBcgcgD&uA^vTcNczd3JH%c#ZUUs*`_sfmopu@X03tNh8C zR^q~WP4sxEpJm7QHCUkkP@^S0F{n8xr{?H?5+fblWZf3Q^|d~j97-8#R3DW#3wAsG zE-l=|ZyrO~w{iT%l5h!KO-Xa)hjxB0z5bxS25)|J+VO%l^XP7nWf@q=dd6O0z&$x^ z^3&_1X8$!6Y+iR`^rGSeGTjtudNm?*8y;26sbb;ykb1OHtOjJMVr50dY1E^vni|I1 zYzc*)ZlPYu=Yjvm#3&qC7^7ZZjs6MaDL`BVX<%<`@%=3)jp;%xy2!_m4$gu+SOf<@ z)rq8~z4{}+y=>!zrjt>4Po938C$pwb(cKr2YxJJU-CO&$Me-GTJil8d8eOW5rJb<| z%)DIOm$^qOO{~$A_~83xTum)t*6i-AQa)qQm4<%L0+OMm0^n4?5)prAQ_>HoZP7^6 z`MocqkS1QFLNi2xH`{wIe^10qALf54Ol!RI&o`fMM3xFJMaYq5lj!&GAj48Zt)`C5 zDpVU{ih{X*RzP_e>nH{f#twIi2~Bfctw@q(VZp!yp1rk1eX%2w3*0KWsP6i@iy^2G#+nsQhTxg8I;mI?_TEKtJ3 zEbaO-0*kbP(5N<#d=xK~$JKstom5Rmo`2+qtw)*K(xJ4cT+@PT3w0q4CRH2n@4~Fb>qJM9u&Px( zw+-P1tQpsW0)p$r$J`5FMQYu!d{n%JX2hc@k_P9@+>j*0^76yi5#6N*_3-2@#kitD z=OA7nMsbowIO9${bJRiSTc7GIQh@ijpGbrWy4-TJ;xsUW;|*e~D?oL5O+xs;fPBmk zKO-dYZ6uxCjLq_x+J1ttZ6cXt4SCx*Bx@fJ0f@5o6>gZc%U`5qbu>Qc(3JEJYwVg{ zDcgH-)90)})b4jwya%aE6qb#@IAddul9m)AaSgPzUupc?nMl1CZNTY2*Zwaotxdv) zofbMn3^9T~gxL?>SPaJ3Vcb z$-)ZKH%ig^Qsb?1L#_HKT3I@bG&$!+)MbTs&opj=*j(3J zdE{11Y7tMmb@SF@@I3B!u7A7#o2m^%KE4iV+c&!_`*W@4V7>{;iw+;S>37(1IiYL6 zZK&dh@v53@$E}8R9832i40F7PRHDCo>2wvW1_usies1!D|FEoJ*IG12c){G4%FW_h zpqh2J95UgT^o|9C$1V@m5Z*Ymg_;N7i|I)|C0cz7#lGUbkrrV>A*vLqh#P?!Ly+sn z=m$|k%Hd!TXI2qP^p*UDgS_G_u|>&P%ntP!9q}n<+semAN}LXAQwYkqLeu~f5GPv< zNuEC}KJn;X{)af|TM!Dxzm3{F3Nj6(rm^4i5=)yy`~Cho#$hL;`PY&?E9L7Gex-yt z4$Tm>ynGha0d-`VnDE33?9llnyX7VwiJ>mRA0{pcDQ@wD&`c)C@{H*A{a)|v`{|0y&ude=`6AvDMkvnMXX3^u;3#y#nh!YzerDONw|uWR zfAY`ee+eJsNOfa}kgcIG0D_HP3-gJ53P;cj8MUKcn%%$w;~2RHxoC(cci{X3Cnm3P zfK+%}X~||4Bc_Ahx73wafJd@H*?03tI7ZKX3 zby2OGFhap^z%Wk*X4*2Kd_6Bw#{vIa$^2k=TFh-6>MbxM39 zoLWe>>1*(Cx5tdnKxuZ`kjf9MrA2NB{i{;V;ixY^_LJ3Jua;;N+?0c1a{>&MXXRKM zo5B3DpW@5|2G$#eg?WENSl1}BFw9=s#_0rVB)cC@9BQyf=Jo9EgR z+eEw|g?uV&^dHuHyM^WGHHuVv>-QfIYwh9cd1&AT)=MQ3YHbJDDmZD;tQkt)bo*kE zaQ&UH0%>t>V%BajggzW5w_i2ZG_F02u5Ir{uW@6^nlRx^w0uHl#UhSdF=NJi$?=XW zChC8s)<2{RX&|d)7fKInn~8r5EGV_@$Vw6(vzb~IyjE3got_TCb5U*-e#n+gj1_7t z#3pl93DI%Qm}F?8?@ydew0BVB+T615C= z*!9jwL>~pRM=5DE@TW1HIRX0%6;@4 z4<18*=-xkO`Lj(`uTa>ui_k*6oB~IrCo|;KhCamGP5xcHnApPO`YXbm0^=6+S1$;J zf{LIpe>;yq4@A3F=iMLIQjMmKKfuq$iG%u14RctSr3xNk3b}gy_K(r`Vf56D`Q#2j z`VZJX*UZ`Hy^8n*W$Y0)+KlM`E1D|6L??;k1ar;K|F!<+@!EE>`>vWv-}8 z{U|eJpGCq3OR!G_$QVgN+llGrTy_-JRCc=zry7u+erq^W{LNcL2bNJNnJ7? zhnzZnyhprew}<;zx$dHmGfgR_5{BsnKKcZ?)SdgG=J6??z(>(;7(fCi`u*nD36~0% zw&f>dI(^~UBDzlUhV*EoP6r}{?C~s25c;9ro@?*nSi_L|2>mkTMpXt@k-y6)ZE2I# zAiOfv&Ml#i-al)C_d3sq#tSe5zotWQ2khV0hNn&lzH`)O-r9C4ZyvbY=ksdNZP36| z!r*k`AKA)0me$utsm45U4BITfI{L56^cMiV`~yJU(if8NVFzg`SiC59)MBwg!S9`J zl+|V?Q;hR?!pTTGf%~gc7A6<=51GNbC;dQUVvT^$df5EJwSLepoWW63(&mDG5+*g|{<9mO5~kNLp4BK1cA-k|~R-D|`tU^^UyNS&_O zLD3^$P)E9UOjA{ABLu^iPkLXVu#i&W1yfLx%Tj*Cjc_5)oy;L9ml^sufulO^C zYF5@{%)?sPxABZ+ne*K3xYVY`1~WAWJkK6^f1+o9@*(%w@VvfW zVCWCT!o-}fOX(L@#~5?gFqi%Bs_~_4ZYK7Aem`IZ-rkeK{#D~3OmSTK^>4Vx8kkn4 z1D$HN0|RU8{mjEYS>OjMc6~?Md`7745u3!5S7n4ahpe-3{&ITLH&9w4wWE+SEXS=a zs8ApLuwVe+s#6ZAFUaPXM@dhaLcR6x&Of2gxGEe#O7-#X@Fi^AloIel=;!mPX(+;3 zk1BLMN{-Zc?0kA&aRMU&S}WllA@fm)y7L}<(lqK^b_{I2jVnFDX;3@(ITQ#bL9BWK ztF=~J=)gv%$Ded;!bf=yvlUu>fB%c(+4X+x>_NrnNPo?44QjZCzsn$W@L&-Ij#>Ts zhSi|!Q=1tQ18M7P+QMB8a-mm&a^^HKp_iE>El%HnC<(_h99Vr40ii+EgWcTn2lgXg z!0mN#zuxf4va#oXWqug{i}R8Wxf$m;s{_WJblz2T+C85=KZ@ar^J#06i-2d0u3I4s zYtQ!qYmvH@u%_PU;~WJe4N_re-5AcI!xE1-4CWs+cfTX>dwzyUH!i1 z_tHb>6XY4S8Rx0E<3QON)nbFm=vQQ@<7zAt4=V6!;Q5B)%J}&xpwU*(&r^yGwLu3a zYTyd-q?0o4o7Ekf>~jFhGNIe424w&wav-av{FYe-PDyqDYnKlXUZT3Ro{Q%aEU zO}4F%+S&=pYY);yG1xW#yL|r7$6RO^@z;=}#bUPQP~?Zxv!`mmn_dc;ZE>316!+=vdm?9bFr_W)Pel*3vL>EXKp6pDXNgGc+v6(Q4<2tghjWxMzeu4o zhUCcg#)Kt?rt60RPp%^ImwykhT#)_D#~Yr&{@sU7y^zS1Muk*&Oj<%gJAf}ALx-?- zg3dTQtI8HS_&SiN3^#j#O7nyjKQlXR7i8Dd5jerbv5I7#qBlG)CIu3;M){<=kyDyR z?okjZoTXa3GB#}t>9}=78;G&g#dGIf%H2gKsB$+?RWMwK-)Ln`V>^ab5I(O0&u+8N zI99en7k^G*v)E0r7;V?Zgw-^M+VR<}R%|{vU6frs)z@XC^N}%!B~J@S=RF zy4Z+j*hc-->UGDpso=+>E<{QAvMW!fy7aE&<+1m6rvMng+K!<^0>`Vr-a z&>1+sdTl^Ot#k7BvXMEODDc2E;WO?N<%fIWZt+=Cn(^VQ0Y@uO+RSXY8u+Kw?G||q z617|wfkObJWsNABSUiP0;lUpLgL*yvUZ*G@H5AN5{WBX@o9JMA@eH# zO*?YQ&-tgrnkUB6w?*u}$8`h8;Q=?{C$A`Ox*W44G1l2@4I+Llqv25S+k8T;n6W47 z;bFvM`Q{%3E*HoQX0IF{0c8Z$30I@syi6amwk9%;LC09+F%s&A&hWyOl@9Qq4Ayf; zV_n02^pE}D!zq5aHdGj9dd}_`JpVMH`t=BNCi{)Xj2uD(#&A@WE& zQ^(k&I#ZlACP9g)V%G7?{Q~B!8%umJ1H9=pu?tYSY!*&-Pz+lT=#jc3ibkYOgQ7!u zo0>rfelHfZ=t%Kn*5Bz>{epotyj%Q-Lhjd-#rF+Wr0Cm}vbDy35BnTnC8;%gqFRzZ zCs^pba3D_#mBh29XVOeGY%QWkQQqUCP6U?K;8XXuwj$3bBep5wlx)rsyiQSAgNm$_GvNHUBG2$1d=(WI|SA7jMOIoj#X5 zY*0MqJ;J16JIZohUC~1NN~m`>V9t$rPK#l8crXv1GjxKSsI-;nJvSZi%};ba#TU^c z+Oh&Pe81)#Cwgb2 zYc19Xcs|Z~{7MT+6I2_3#KNwAy9Z1c>1x{Y?7nqWP25@{!5*H9FjzKe6SAw*iCa0p z2UI0+QA{rgun4R(3g(FW?8Hvp&=TY*q`jjj_ruP2hEcLiCvstvW2Nk+!u*Cy>sHf!83O$@D=O*~_e)JzU+&BVGG;nHYh6~3c-0h!*nVT0*d_{JA&9j6E z%&1YCx$+IN$ESqVPT@B^B+l;LVC{-wSQh{}J>Vhk*|o)Q1I@VB^ZOQAakjVpCz#pn z52N3oA@iM&&ChfGm$CuxSt=@9qwi3gqL?ic?hbW2!3!UZ&V$~}H~SwoBf0?}SO18` z%&%TGHM6umSbfj)UJQq|6rsvLd$b1X417=QjrF~bU?wSRjoT*oG;jMwO&!vNXAkj} z#3b;=@QGCM2}|aP-p&#wU6`4Sp?+T-{~djY!<-{JIMEZQS-Wg^SU>uCoH|9D~W8pFj3(5Cf30TWV$mP*3jlIOPWWotMgbePUfEz9L4hwi4xOfej zmgrF%7-qbv)4}ctLUT*6n-+$fAR2kqnlY8qACAzol8zNVoF>t)^iwssVaMK6qDn^^ zl`tC26_nhAgE4IPT2BTTEX*UONIl|(Q~Ma?^V2&jg%;Gg)G2!OT+SFkLu-4;2o|-Z zjybxpi3(x)5FSs-%zKn7lr6XrYN@%zJgl&w@x=3pAjll&a8v5C-t&df8$92KF=^}$ zUjBym0lE(*{#>`{pR1$(;h@5>`2(JOYl$D**X~8`kFCYp@*E>*j=~A=!k^D6oNOM) zQl!+IB%AUN1zOZgCoVK{?lg6!w)5|3s+-0Xmh=xq%IGZ38JB>4Yd0hTy-#Cnw?a%+ zW`|qzm^dLm)P!td9C)EpY5_Srl=liIvU=&W4DpFu(zr!=A62BCl>0M?nXK;B&@cQ2 z!7J2wS*A*jA+N?&25OatT@r#hA4*j?M$Ah~1Uun+SIbIp~wQj3%6cSz6ULiKY9*+O!+tA8 z{(fIC;Ql+=WOHU)|4m*&9B2d_kLTL?143>?SE4%O==)s z@YyZJdayQ2Qk3YH_p1ZU(g*;UjCsvf-B4hm0ZGEBBIWn0@GYUgxO!OA-s1JktQHTS z;U;6;_Z=S5%HgkPm}{{E@a(6XdqJLA$scnA(+~It)dcmhr=E@WkYl*^GnFjCS$|uN zvw+`x0n;!+W4xvebA!t*v8SyHr{|w^bxU93L;%=_o*BR5zEEqzc-7qsuGCh|eN*}f zGEwtEbcjIlehg01?Cp1MA}nnNQIbhri5v>2PsfWT#X+MsB%Mwz*7Hv8zEXBG?4RhP z%d8XIOO4*x&ijPi|7OA8_%0yF_a&90;NL0GpCJPx_WaF=%`2hbTCF56p-c|pV2$rE zH(m!ZsE@1(gi3srUF2*K75f+FNi*-O4VRdZ{>$$?#SX$n`P1#-D+UXE#>OnXkKSXF zg*guV(lMWI0-sQ{3qT+<$tt=&!x*}H>M99NyG+!oB{aRo91HI%t8w1q7)_K^Maz~l z#%+BveO0F$e68A6r7a?+;&$HjB2`MEC}M{;9R0WPD)SMEF%erqmMwkpp{UT%pO#2e zsMj0G-*SA0(ji3DreSgs2k$O431a}bMtdId9U+3UIH8`BPb-0mu7K{rdX(Aq8<_;2 z?s|>(!`4D-VNxcKys}uLK2T(prBsjo!hVtS82ZkpJ9idQE-E>b_JSh|nJ-8k*LMBY zQgKwnrJ2yNmeytSOmO@dtS{f#a1`q)H8kk*ObpXo>IhiN`zw|!VO^Hs?lR|Gxo%i{ z;AL27g1EWs{8-hAKX*GV_Bc(eYN#Lu#eC>EyYHY~GaioG8_W8tr}ut*02Cn#ePUA2 z)ks+3&dUz4*K_uNW8d+*>`uQEs*g7O=S4NIUT!rWwQ!m`_Mz^0wursp8qPA_%rkI| ztBp#NCPihv=BF-z6=m}2(Id3Z8Nc2+?3YS$I0qwL`LDYEVRh_ODkO6-=2#FwEVZz# zzqOzsRY|q(_)~RIQ4mgiSX+vkm&%tzY2-s;EfR)JV9lPFAwi*t(d%U`$Q;((KNIIa zyf2g**5HD1mV$@vr*0~W|C{5Ias3us1<|mkPmlMsp?qRZdoVypL0%^m{GRr~U(y)99 z57yb};aM|mQ-qi%9LqPV)w}tPvHxxWeKm96skpQ`C~01=jUm*U9ZkRbpzegC2CdV$ zmgK~CXePt)Bj+M2Ln)&9(q!it)WJHQD|K9Fwh;lvi!0!y(Wo2427uwFj*;cRG10VI z@Cc$Lc#{gL;Dl0R8S`@!o}>ER)~0a|HsU>On#e9Z;Z?d1EVc7Plpmo}^2z?CNJZ4> zyaivL6T2I^z;BAbIMa}*EZ7I4d}OQRhkP2QrRl-fw@Om1^tv~~&G-anmpCAv3GT%n zEx%dY1?CK33z9Qv{zJ4nNr*=ZCImg7bUyO=z@+kBERELI6d6`$lFqA~{VK>rz}ybc zzjL0y|Di!R7Q9(w|Ja%|OJN(egFl!iF>(sR%m#aYr;ytS;5eZsIO*d&pRPT&A=pp8 zrc+5r?wOS+JpR%z76MX;u+duc#t&!hAPC1KtEadLq^Lc6Ts`xv?y_qnJN|J^G+oSC z`I*k)ZR2FFF6lBN=pQYBL)1R4=`R5Z9A-aSKz^lVR$N2<%zXf=u{Vwc`d2Uem44DQ zXEGnCQG4if6Tahh6@}o*wj(a};?I6O@Xi1WEHWcXn>J@HISCjQ>ueCqcQfEND<1y# zKzr~f|0n%)WlNZpDZw-syHq`F;b)S7_@(9bS_n=)oE1f#k4v3?lI=p=zn<5T#9A&f z_l&j1qhVA@xb-+p7$S1`E;F`Eo0>AH){$kgiFjq`vC47@Kapq;rg$mML2u>)mk(@5 zEJ8k}&6vy?cVlaH&Q8`HmVwkNr9Ls;?!wzu+NUbpYkxY_E>~TmX=V(`b)zG)s%hko z+Odg)?#Mc%t8bG>v~P6pr1Ue4s(h|oQ!1y)t#!8>%M<>N2=EM*l6F`yP?Vpy2ovVJ zX7+`M9-WEAl)F3=$KLfzTL2jIUBtE*Zry&4<$g&*D8ma05D+zG`)EKyRA2y-mw&>P ze#>nL2%Ogfs56bF2_WEt4n1W*2#=RQ z+UUum=Wm0jGgt8eIyL%3Z0S z3y(DkPUpXjaNwvEY$`P><^IO;s3ZXPQn%bei>C~%>wE1Pa2+Aj)Ue-!j&B7#t&&e zok^6;m6s%KHm|ZQ443TQPf|BuHo#u2z_g*SK104+DK8z-AlpZC;B%M@>P0sB(24#Y z;re4R*%R70Sj*J6K4;T)`3)}$-y%uO$Xc*c&X(bV-nOGtx~w5sP$;&v&Kjc>OylwB$ zJkL%}JS=$4@RK2`&ZJ7PvzB-U`>?2F-0(c#E-f|O(_>z&9zFAO;YH4w^Yh1_oXkNl zIt(YZF%Y$Ca3lW#=OdYQn7tl%*~aSARdXhJ4IOOQ=L>h`B$) zAXmL&54~AY9|p|(g%i$AeUsI73pu7m`{(Mj*)G8C@|||x4tB`HH*{#Gi>C)w_YFS; zm+k!sr%w6zVhflr@aff>mwY1f)^<|OlzZ_oei0sKMgVX$-O)=Lz937NL8Pd`4j6Es zoyNZKRdBt3vukJ0lHUZVGCp9W_X7-WmBISVn8H?;(IS{lyR-sQ&G znoc}&aTUVV>W{2#Zxi&7s8;6Om+SADQ`p2ul-*ag=yJg>JDeQN`*Ev?tg=X^!`tCpl)KA(bGCQ1&lf zR_`fhmz66_u@={SN}$ly+4>03fXYnCFaMd4w0HfEc4j?c#nuuzeeY26aS|o$OL!o4 z(~i2_iBi@bDiu2UH^}6>8Yxg9M9P@q(~r1y#sYJ+hTh+p#xt%agxr*O6s8Nb#a;coF%`;M{ec zNR~BCM*M;t1k%jZ4PIzkn6`_CCT1*f?Tq190>i_NzB}>c#omhE4UGWYwB@gq%xV_K zf5{frujF@`6qK|w97)quOmT3Ev?qTYH=`1iwL+3MT#`8o%W^pdm<~4bB!tp4U>r?i zf8fOTy_$)l6UGL##J{s=sek)~u}zurTC-{L9C&@WCj{M|_;J&wFTa$umo5#`p zUpwr%`Z!*&=_k2d_a8qoJ}A+0^u$9xnL1X-Is%)G*vf=oog_!`(}Df}qw1Wa>+IUC zAKPZLW4EzwHZ~eJcGB3kZL_g$dnb);n@#%dKIc5=eZR5)&KNu6UVGhZU31RgjBfTW zO-ZeHXfX2dSQYrViTz@IiEQTv+27oxa3}s;%`RqLaS#-y(>4*t@V3uDB?7W1{J^!oUm5A6j|Rb>q2Gxrj2(9Jyniu z)Uo?@YVpPW11q8^d5Gp>?cck=KkubwRj4Har)A*A>u@_VxI7H#PQ?l1IS1M!1(8Dk z%!;C}U@Gt#K5flR8X@2OJ-9jR&^Atedu#fpV}TCx+AZUN+*<`>`l?Uz)*Pm+boJJi zqVF)d;y3J~54Yw`IM(9D&b+O`6~Ye$49PRFgbEM%RU*CN&J#xx45`EjYHwVOD^UB2 znM7D9kZ~4d%RJ=rXDOmKngC{Y$x@LAS)$Q+wK79)nScWWf22W1F|m+>QhOi*4V-K; zqB>o6gSIOK^bRox$4x57@*lpi!NRju(NCt%J*u%pN2 z2tm$%^&NDA70*LqHskUdG_#MVx#1rBC6hv1Z0NOynxkX@hYvOY9F-;=;Ht74v zep~N7^l5^a%N%{}WGT+HOw~Ur4%&0B?u*K?Bx?Vyi&Q!3>2Pa!V@1?00bTQXdCJDY zcJ_wHFz<7#S{$b@rq&w%#Ss}YZ}`Bp>F>J#9@7wt_co{zirdEie475z%_>*VzM}s7 z;M>PR27Et1LVB(%F1cbJs=iORShEC4w^1i|^7(|Y@{#8Q62%nJQue7o8RCqgRE)Pf zmVSbRjW7k8M?-O`5@L$d{@f9&nm&xqqR0(k|C{VhshuY^cUiz`@u)DdzRXJHxs*83 z<&K*r-$_C#Iu}YxdaPZ}m0;g~ zskg>au3#1dCWXgw%E)RG&(nuW>LuX;9)f0oAqiKAxkm6JGP(^F${w!V##9!EY4+^w zA!WqHeljBs6K$*=TD1|gN*Mey>$r?up=+3ad3map94Qe2212e3MqTKGAgL*XXoP&i zi!Hl&U;-~d*&_tTg$k#zoM{t$WIyyDajW;M@U~9(fzG*S_mSthOO5A7LP|=eLl(2I zFJ~sxS!(i=*JK{mLZ{T579+4CpEy$*4J7j9TH7t@-xuJfR|&Q703!|mrTUENQjDs!C7IKdlS+1!5tP!3?LQAxhlutu=+(c`Ch-2a58Ie( zC2uIxFy=JMH%^(NDK%$LveZJN^eAgmE~7U5LQcD~*@@Znn*TT+A-Ek)H4FvgS8 zip+n_+hvHmKchqkMx&3xAV)Um)iwxJsT}2y!}BJlkNb^DV6mijY5-v3V-sk|PSQo= zVIAm<@P>iP0|z1-~hkrN_n z`*sqa!IY86w#F5$*@bf@u{E+yCmrmL+$sqD(*zHjW#o~E3sEp(w6tN=c4*j*bS*cE zc#N zsk3%t5Mz95MI)=F_v3+&!GN!RdDYoQ=dSqQYYoUtwuXK@9reAXusbluH)j7CWLS_( zocJr|Sn;qtT$*DBVLw#df`)Xo5bwc|uKYd({Z)c!K{_rO@T@)G56AlG4=U6ErYOdV zt;z2&gfwL0C>$1UO6B@yjw_nS?91*sP88jA6jI~soN0NFg@6f$J)1-!Cc0fbY+QcC zHD)2@U=iy~e@zVTvR2zBon}HCyPjgIPEO636#CR-{DG=eDHW`=z%M8!rk*Q9Pg?e| z(olUg+Vi3$1gcJf%U{(ka5+fpk_hEl~LnWThPI- zl{arrsh4YjQDU~_hNXrluiu?F$dK8aBeYHJdrN)sSCzw=RvYiE@xHJ^ocVRT4ePTF zd;a%;iu0OEBIv`17Hp;Uqj18UggZj;6ibm-?CVbnw6CMX2_R}v8Sa+Z;CF$$bkJUp zB>r{l(PpbTf6DSJb?~0{VrVKUaFvwZkaM_!wL$&6ruI=MYoKVeozbMxFpuf5jG9k_ zRV}l82#*$45Hy01N2?Dv(@#{?6{39u7}!930Z3{*^2*+-HPH%TXe#2R?LxX;DJW&^ z2km6TLVZjnaZZR#kBod=G4(&;OFSP}hX5vfYL$di0Ay?+Cwmmxtr&s~I}P;CwuL~A zZsJKpr=)!D&tN%0=L<0$b!z+Ru1Mn@rw(27w({@VYfJ2luViq=fMjKd1Y|Zr z_SXj`v3qC_wpCwP230T%tnM(uzSpv5h__Md%&{~yl9zSAHZ#ouiVY%(7Bc^(p7znTkc}kig%AOo6fn)o`(dr-TLS?=Pw&$QkuVDDwaDSxkhh~n zwVf%QXX@S7SC6lKKMtyt+xnX<|)sDMOp7m<2DWil-*;fB4G1 zl(Q*N$s(IG_r|x>#0}%$x*PR|6XQFfkz7r4gg00DC7MPl1W#VtTHN~?FMb~Z9ay0& zirz-ne0sk%_n`Dgcu7IY+Dh1av5!MP!W&q&OGJ6$h3v2h-2N70>X} z_R<`%;)rs<5^pm9RVia$y#|8Uzum*zt~tLTzXr z^hy8-3zkC!t?p2VK@Alw992vlxe^v>BevdgTaVyAdoy?3T&|Z{(Yru;K1Qbj?k9CmGvqdmO?NQSpo^J6noHOnXEY@D5u85(%!I=ZT=Uf-ZO zh7w`&Ut+aCf8gKQ&7ty^S3w3>9&wWpE`j4gca)`fF?{#nw=XXt2rsGjSyMD0yzPL zzz)~XMeZv@iEeudPQAYE9I#P_6^yX*!?r}Z9=3qBq_a)6&3rN&bmZl~D?>)^WIC_8 z%SD3E3%i>T@}i{h5<{UQpt&RyAnBqxrK1Qd0rcC;G)a%n?|i0mFEWr7$Ecv*0ed2Y z|9(`9O3CYIqYi*@G35I3@JSA!M_#cHo)iV1c1rnLTF*Pq_R`>E!k4ag1Vwv4h29#%rKdV0Cyen0WvYj`LxawP1+3h0|)xShxtV6l6XqFo(fB>#RRrWlTf z6_4k!tE9mRJGKvHNZ2*ihD*BqqtQjDb11!mQCVRhz_=xvD@BV`*~p2VuL+W=VLbt_ z_piHoP7(lOmkqXy6T!{Z7}a3Y%>@@V#5J>H?50Sm~nZy z)lsibW{+kQEa-s|cw~($@j#2&iO*1ryMb|q?6q+hXA~2htyhPNB%NX1!troQQkAoX zifXs43nuro#WJ zPLmU6=1(^Nd=!SU;1x`4-t*q6hd-8l@I4|zPcjOwEY zDAOF`SA;xhDNXzr-J*9>*dV;Upv&pjr^L+8_igPT1qA|28Mgb%`-=4ek~U8466t~N z_g{tOZxA}AZEOW6QH26V zEQ}VsKnn8}HH9?fw5;azSCwFZSAmzhdfsXZoPd^H#QIw5j8=?EpSDPI_IGKy(RQaQ z?NGmoWhq$crWBj1AL+_3M7y;t{IImVLn>z6j!ddDGdhtGoo7=fePU${B+`j1bmLuN zAAt_Grj;Y4(+&O!N(e&?;VG49sv{l=yt>w<|2fB*7WU zkeT40J-`5q+F#aPr1gps{Zvq@=oqcIvJ?0MxXQdS4wIp{@7~sSHCC76+82U;8^_Ma z(lihge(6e15>y^)$8FJW3gkPH*zzczt)G3;B_yg|EP|o z#zmd_8$TmSjUiE!Ti4_3g{PLEtqW11(19IDw6y^p8htTbA6NzNSRW&Mo+BUYQ@hSX z^aTIv9max>#)#e!#h-M)Iy`msymdS#*Lay4zCU#y@gv5jdgS>;(`{RiNWh6yR|>@R zTqE{?a_k?!-94{7x2*mSKdU5zg^Bae3XSHzF767xm;Pbnns;Vsz9Z4^2=O!@xK&B4 z&RJ+hLt@1_Z}V6@je4u7{lXoM%#9fx?wrdKdc608AJrnwP!2DF#!=fKDlOPVZg_-& zd~Mm5gxv9GqdqD}s&X;D3e1ZBW3J`KoeUg$5Lr2v&~BYP920|nug*Jww{U|*xrXtF zeE;j+FPod!3#$s+YsWKCnK{XSXg8p=yunnw>$4D~dh_@2 z@mKg+ee$__%AiWG0C=C4m!21ryqD=2vnbi7!yx97<04??_xN|(HB(`>>oqGnT zVWLD&bO+3)_GnR@6mbtUvYS^@>BoaTq08{+_}~(%-!^B8l#oSySaoh2UuPp@e7qWr z(Sk8K;)wuSaUrIrusprZbk=VyCObY-{i63`^g?D;SjzP3>BV}*rflJ;g>i;>P_i;ZWFAFKUS{aa_{yH!B9UmEjFZ1T`4-r&#{HLrvj# zO0`$()CHE9qOOIs#Zw34l&|!UtH4PObZ2Dkl#vKL>?~klM2S>GOj#mB1b4R?sU11d z9`q|_1R9RKwlH*C{f6a8i0iTFitIw!Xc3L-7m)|OC{^&8y&$nv{h3(>Y8n*JL+Q@~ zXYsF00a_w+QmQ2;UP`z23tv;ORBADk5n{t$N$HDCfXqS|5@+XijTR$KOUMrEv~(+Y z>=j{ZJD?5Wudt^tD#Q;ho&geS?R4(SYa~9ZO+_moAay4=mg*;Yw_c`a3xqFlfddLf z8LRA__r+h3hf=;h_v4=b&0S1gcT^}E79%jEBE|>)JxHc_zLosKrKeQL74TkQv2qu_ z<9VCi4|GayV7bA04)QwH<<*x>)PQV`52JEMFu-c;ohN z;9Z9qHf5+%#8MC>VUyh#5m>JUd}bYDt^Q)A9PA;joQp4FQllE^@l7S@ zQ9%3ZwdY?;0w@5nhTh6d-o7@oG-D?X^)V*+LT$LanuDcZL_JXRd%T9Bt%}Z3oTht^ z_)7EE+jkCq`721Tb)j1;I`m99J!DbqCWEbEnZpGyPX8*1(1jVCBXlTz)1uA9iBOck zw4opxBj*&=P54$0mfQT%jj1kfR+{6lOcud49*-Bt@^cKyD#=?$-VMpffL45m4L)2t z1z(bzhHz#t?(^)YO5*vDEjyvjaEeOK@70@W&0e-76f4ncI~UQM1`@K{)TV_{DOPoS z^2;S;(_y_k%|WIXo^Ka#NN&g?jnd*YyXs;aV82XhJ6F%F_q$8o$TTaalczOH{(xs@ zeI#6v_~4I7Epi^=O{EG}a(?>`RGK+(Qn@ETZ-5BzA&pT82A&pj2`3!WNayOI+uT~F zFo5T}^yO~`z3Nj^j0GUm&nyNiUQN)kQZnN>TqvuC_PIJ^`o~@1CeyMhk-kVkLF?xx zMd3$ESAoc@%|9@oTG=x(T)oEnZzSIo`Tu8k1A0LnY7W?N$aP_Y{-ShX&NO^8Kthk|$+Oj*EI~+Cb-QSwm=~TOu8@%_s)%*+4 z)xGoGdE-f$I|VQ$@G_{9QsOEzwCB#9wBy-M;PX+jckG-6&ajKhR;d>0|~yAG}5| z0bj`iJ!6}HmNH2Gmw;e!1pt||Hrtjaax7AUTIlq9&N{m3m&3+?nmLSKO1g4o@NGKH z@JDVv9>w&g0A|JB*)@n;ERBchlGvAO>#W)6mj*wnJjP$p-DzX23?X28R8U)~*M>_h z$yj^}_`V!-ACq^wcS8nY&JU~0KqTV66nlEf)ODUyD`7L~v3L{%)eAl$iebblBVw2| z=m(4-L%>YKiT4`;{NY*jSEkU9^G4qXVht9gFmCqORl9y7Q<5!q5@y$|jM<%E#bDnnIbr4}x;5sQ1b zrIV7?);vwyZyd^e=gzH~O3n%1?^+{!WK3Wh#Q2rR!DJ5o6U0#wMN?<}U5#~9#TN$5 zg`OJyAxe`z)J7oFhefzL%ZW<%8HW~bY*BSL>I`$Lat9(+US#qRfc^40M1qZQ$p0$v zl{f+~iISQG_~L!zp3%a!=paU6xae6+FOo}}P<6BIrPX4s^gj<{xezX__6_7$GXLWH zGJ!j6qXQp&NEg@&X01Ua;I-`Ypy9jtPjvLpi{PK{!i>wCJ=1@hYP_r83w`fnc&13}3IJzkO|@pdvZU5(ys zgCGYxtvyt9A1wUcd;@;0Kc-~~6Rb;TrbL<)=#WxVYCzXN(^a+c!@{v z6tTERL>LUw;B00_mxfUm*2-vH5caWeT& z#3QMuVN?aumJJ`#PV>CSavevC9wx{33gMT<5Jf)|$(C@q(+)C_HtT-Bggq}b zsWiSx!5riX{0!Az!{-`Gx*TpFTSEA#`H#ABt_?*KqvAR}fbNFkUtUhj>vR~E&F{&v zyf00~qNi2HtT-Q3OsPwd zLZ>HBOG19hj_yw&jGl+%xIe_VD(_ zTYZv*%Duil+7#hs84Z6-PV=dLU-e7JNgK6Aue)LOFkpw&8*a5s!diFvq-h4uS4nFoUK*huxC z`a67<_r!cC(#>pj#hZb@xVsTrWfnQ5zI89c^%pV23v*el@U2auX#G68bjcP?go+C5 z`vmI7xQ3&MV_G{eTN-Y2{f^$h0Y2wBixSm2|H$vzhp@M&PDI$mU2&#8(i*cz11tV~+E8q~p$7hvuG=lwoNqaIU2BR$QYR$?D^OWathNh+2`bmd zO_ebSL0WK$;j_4vecOr1FT&5I*Rn5Ok2?F*3^^@4r$tdoYD)E7(JLUrjc52?e6)ep zPmNF5^1Lq{`6S%9>1oGF+)YyX&qD>hdeS*?rI=_dYKNFp>&Ok=i;zj5FoTmy58V=yrke1>ZAi+@ky zkLcnzCe}*W<(KGRU ziG(hW;bHv+!tpJQf9Bfj_wf6v_HoAXY8BS_$CRF>*2rfmJuP9C{SQo}4*Vt0|Ijsh zH$@DTIGpXWJ997Q;gIImq`P>VD}6`iC3k8rDWNQ%Goog)8_I9RE7@y*`~R+-)yyBS zMv~UFo1c+w$d3{F9%NMGUr-rCX~s|U%(in9Y;r0~nwHR+Oye+R3VTe*wMO<_Fj5UT z_%>5#zqOeKCy6fA#KU<>sOeBYaLu6y2U%D0UKyIJUsC`8GDkRL2`@{xVk?#%96NC8 z&8!`G)I1!#LFC_ag{LHT@w-NUgf&p0i1iW&JpUbXNuN|hFqhp~aLDdt@y0fJe_VJz z5COGhH`2)Q>j}7N$k;8u#xtBy-;q85ic8Osw4x)>u*&JgOR&14Y6wifqvR)_+NzQ1B9U;G!!l(7NyUT;?6Te#2CswvhJ+?R9xAWt+U+U;V29dZg-y;pg@-1jAl7%Bp&K8?@Fiw_D^TiB!A`S@0Ck&Fu+e(jS zV8w;UpJZEuoN%YTHp$PYo<-+Rm6lD#%v1FU1a(0+mewh_-}7JI6S9x449WUU1WYE} zwSsBy^3`D?5uw+vTsF_1Bv5F$eRxA?&D-8CJ1*qyJQ6|e6@l528!01XbIp-bYvY(n z+KQLV?H46d_^G1;K*fg#6)^Smj7ALg)9~{J{Do+y($NZo21PG4Rk$}`r2VGNsQ0K(l_XEs=&(pZ}mb8K4KW-JlXG*8X$s>Y?PBpHOVWt)ui~A z2!ZOQRGK&e@`k)OF3PowR-|Lnsq*ZlOA9%wM=D8D$SfJe+jFb*`^ZS6DSbNv^KyuI zt|6_UrxK~9ce;O=?j&nA2#4L3_h0akk>4X%OyD0cx~6-V)xzEb@b2+38v1NzTKqN$R_} zs)a-H-DDIAMWT`|%d*3e8dkh)gML*`F4kyMtr6x#f>o*4u(pXT4(>@9H@gHT0Xf9# zgW(0%%tcI=PBE=}h(PN*SAvL~7AgUO0--;8Pi~w8%8=@8?t~yn*<~7fy2iMFc9;j5Ek_5SJnjZNIN$EaM<}mT5T*dZO^=+bz1Kz6gDX=rez*m_s+YN6D;~>ludsE zq-Nxg$28Eg1qKt4=aWU_e+i=jYF2Rb%L`)#TVfTQr0u7n?U9)ABq(pbyn23r**`ur3>w35z=PAmd{OYB)C{l4-9}0& zSU9NkpB!g?BPtSYm+Ipy!YscheB_DLKCz(lu9VyUqA{T!8l@Q9x05F{UqIHMbH-1u zGsPpOPi$0!#H{*LA0g3u4mZ9t0PtK-^AVtIuU}3xuMkwwj43KJ>}-cB27nLXwx+W} zOFI~c)}JueXd|gF8jhCPHe-y7oMkY4L0Tgg(c=tMn@b-zwK9VdjqR4nXz-Lmur>|4 zJIp$B8HESN1VcoNsfQ69lyWtSbSL1E=93oK7E38ol)!s0)!IcX%8wg47v{f%GVsC2 zHX<2cmDReip$uUX+QI@Fl{<#tN$D4BG{3QJvDS&s)jso8P}s0gxL5{4ri}2^`!$&% zD_g-loI2%p3|YC%IaRD-PSfI$7GI&aBJaH-+Yp0U|B#cf z54>=U(ab9`Y7cM?`uCmh(}rktbS~j8l9yw`M50Rph$`<(DsIV>*)5vt7w0O$;x{*# zIK+8URR=>8XE#w*Q-Fp4|Wuca}GP&BSh^AJai$P%Z!Zo`cW=W3tLN z-gkoF%G2-W7l+TM*I@{_H6+4 zj^@=1RxI7}K5waV7%D3%=b=r<7m+1H+~e=Md~l@eAJqZD(4owuUh5Y# z>%2ei+-^C^t7>M5;AJ0-u$a^8yTAyoD-yz#P<=xiZ9E7hlnG_M^K9C&Pf$LRp7Xgu zqbm=zXV^d6B+Gw|!(Xb%CKN$Xss(gKB~)nMJ}SMU^)^=Z5~hm2D+ij>!fys&diIc` zRi15rDg)GpE`%a{-?s?n%#jA3!vYh3gh@ox*$>c=R$*%3qmEWM-+LUZ;9&(ozB5XK z?DNhrGvXK$jSo__4yaS)O2NXy zglU&yxa81-|CKQQcVM&;*_(nMWNEHXnZAS%0`?%uPxF3TJKlqlZo2xoyy~`i00qDV zyH41B`#`&!tsulHt()!nox05=G~pb4du3rwodA~GK-Wls_pyv5txNi7AI6i$@m}es z%ZOA#rN*YElHD})P%eYWfLv~Q*Xz+(1RJIbEfOtFlR@;SKxXx}8n+ech%y1Ry;dL|@lerbv%l23iM4?1{P>U8Bq+O`tIw zBA)$`w3K*INpfU?-t)43u)R}8i6BxX5PK}87jKA>i8x@{#u4VTEqdDCy{OzWM1@aB zfLZ|iCCLwu_>vrJe8aJHt7|y|F``$l*8($W!HwS{95@M&y+2_`DttjjX=oTAhLTc< z9-c*1QNv;~rH+<9K{7_wP3~wJ(4C=NN2^3Bt8~6Gk3T+8{7A0UG2cSZOq*s3p_kX+c3tL`gOAMn0TbSGOP9k1RXy`TJm?MHywMMrO-Ok2}`*8&Wbp zKl6v_J&KM*c|PUPCs{n%12qbEkask2pVu)dpM{n9@N-=j7y!}^VR)?$7{H}k^h>f@ zT5#GtZCBU^x1QPQiNB?bCM-iJ(<{LVrh;YQPkV{70ia`!EL7kjYK18@-AdlmmPgz- z-xGa%k1%Zek{?pg@n2A2FS;f@gpLGS_s2s`izJEneaPN3$boPCck*E8Ca+MWUKam+ zibT0_OF^HC$lm(rFXZQ7^YIsmabN&T$|Ue(`m?-%CA(Rwal=g7s0c0e)6r&Zrd-UjOm7J1JN;7#OHsk{2#$Vp{BhEWT4Ggz{OxyLeO7G&yfqmb&(HhMB8g zv(|uqSdaG+p^B^XwQY>)!G~XDOUL{j-BD$c7;(Q71CIDhYKN!GJtg@8)Xowkn zLAlgaDNdXqAyyz&fH3i-vZJRV*ya7Eq2qGYh02{K;u-;tgp)!Bs{~CKk8_~YDp`3C z8Feg2oJtr>p7D;+qzN7qze5cLgHluEIcDLYE0do1M`-;$w#t zs;%f647hE6!oQnXX93^t_FLpD=J&T(^;i9w8t`dKemQ4YlkOG%JwtMiOxXmBq#xR# zE<>>+?tmv)yl%B3iHLs}(9P|t=a29pa~-fy45|L;z$ z6Vf}sa>cl|F;D38mv95(gMA>|{hdNS7Qx*9-9=}c;KIND#6qOw4|&H05nZu7SJh8YZh=tYCIrjwBK_Fz3`VWr%f-eMtiJff zL!lJev-TClYhNWf6^ZHtzPd!4{NP>bG$D`PD}zhF=Kz>3p(&#ua(A;>*0H!Mb9;;i zePS&eZl~gU#Nn3em!(LoIF7wp5rA4>{)3<$iBZHfv#9?`ny!b2I}GO%z;@ht@ zJy$CP`v7Bu_ZU}{K%H3LZx-)B35JYN%}J)O)yyGAc+w7vJ<0fx_e#202vs!A5wySO z+{i$?=8pcI$f8kFaDJZo4dq-nEmvfbM5n~J$4J~jLVv0L=gW?jk3(#X&zlc2GxTz~ zCX95Ma{|cNN1+pBk!EOS>ZW4C@-0$>RfL39PzN!-H7bl1`ibqJf<%)_FBrE?RQz?w zk&FML;&h<;6APnV3TVDZfqt6+|2S^W59rMNk?p~C_soJV17=PzZa2=NwcFF}q0#KZ z-R5zq-}N4z*Cp2C8sxB6W$QA-~4F^;kqD<8H8{{lLGjI$%P#>0(I#{ z>9E}eSl>(l@N2I5*=Iv&KFavha|^YKT$4UOh4A!Dy9PMpy-rn9qf{n$H?;WAOAHA}pBmXYlqc^8& z6)Upl>}zH#iDH|+3?;$u*LJ>3cH&11JQXe5qjk`=qJ$HN8Xs@^jDdNkspsUUw=1Xp zh4MZ$%R;}d&2fOL5}L3|enoYMCt~7LM8_M1Mb=(U(v19C*#)nGbg>yLg^vedu|m`F zkTfB{J4wdohdmUctW+^vmVAl^MRP%+B!K(nYXnURfj|3Crf=Lflw*^%~J zGC+c#F3xf@LNo?Ktx-gMf@~@PKDLoz#cti}4F59(^Cg(FV8u0^D7xb9{X$CHQ#Xk7 z1*Fq?$OxGOu7ccD6(CP`*}DZ#vOgM@LmAxDSG4Bd<9Xj=C~SPbAHlC&45ltq1FDup zMsYlBT>aPh_Pi^fyLx?=|CKI#5&p7}A-FzLKtEh-B!8;JYgXgjrnd3c=qY}yhGZqe zQ*N1>K1^ZZ)}`u-U)yZzF~2IC4E)`zN^31=`V5G*K=)A;BlI(cDQmISF-xbW(R`|? z^b2*s>v*!PKU-F|Cr_MfcE!M>s|n(&N)f8g0nry?ldiKkpIfMD!4F6q+Wm31_!V#+=6G z@od3#;UvBwi6@BU#ZArLJsQsfoJcWL**9fgjtRunFsf zXp6j4kcvID!Q~>CouK(?^V`o7?ESJS`dUNKoUJj_ss#L@>}e?2wiht-jVBP}s|n5+ zlPElXQs8n#b9ir(jEA>epv>2xUj*c3D}WjiX#Qr+lQe6Ym61*ihv>|)f6GuV%$?O}G z`>q3ne%(bYyaLyItQ8%5LzPhEDh8VE^*~iF* z#MEqpHi#IP;H?=u(XO|Ye~%O6KqytSJ>`z|@W*kF0)teC;a?U&Ga-qfAuUCImW88<7PhZT~7jvt560>|MX6W7pA_CO8Eb(8GnY=6c*fJoYRPJgTB4{NFwA_Y5K)ZQ6mdduW5@w!EP+s# zRPf-Bf|HsOqa1LgwUnadKn#q)Ndv0FC%L_F7~>wtH};K1(BG$PaVx|#Z=7U3dB3d_ zx|81y6UC#aw`m+kdtTu`u6SlU&1iYPFTGa3(AIx*C7qYm4^(#cAA2CHVUDP$Yp_NN-IzG>}e-5^c*E5AizhfSEB5r`g?@x46rCxEig{i?2I$;xU|AF7Oq#@YXqIzh zd71eMCmyVPNZ-q=Tj4H_1MPpDAgC7N_V;6qWV%P5_iTjjW^mI~R~Rf8O^(dfjcmbk z@l39$gghUto(4Qdd=L-MQy5SSkU#+=`Qu6Ql zdd1NTFo*#F{=oS4#jI5I&Ewl*t@afvK?Y6T>&G!`fCuJuq5MrEL6LNb0Chi?|I(GNMf0#|TV7T5ElnwrnOa-_ySo3~ z1l%+F^YbxariG<#U z)uY`!R8vmki$HtO*M>XmlRnR-1m{2Zr>cQ@o2)V-G&oHm*NM6CuE61Y(m;Yr6b@*U z4h4|4%+;$R*mxh}%*hPLM2lRf-{<=SillCA0jRDCEUAO0F zXjp9KTiR)dD@gr`DneV0YI)y8n1uiPl<_=?iRSCW6i-6pTTgn*SB5UAIi_4(obwCRLY3b*ta z-TE|P?3ZDHo!)>XSrb*FZVGQxP07>kVW$v(Ghsd?yCr1%Tr%uc&@hltE-8;|2p#ZH z?3}hBhSmZOS?y2?hk)?)r)!>Sah}mjB&2*@+`C2I_S3JPBfnjgwVuis*jhf((y_-~8Q#=m!;( z6t7PBedYTKVZQn_<`D9fIn45!B^cj42V1dsJ#SaaT=7NLr1BCyN=IeukD`V9FjNlB{X*(%}LGXwyCu&9gy{Oim)!~0eqNdqEe z3=3r@p$ClXs{88rH(zp1dTK~F2Eld$f068O62C}vz}XmoqK|!9T!!pzR`cOCL(TzU zIuBgA*dU!g*t!s#eb2L?WCbLCI0Xv)Y8D(sHM29DjZfwhjkNk@3{%-NEoJ&ROqlhA zHSZgCsvu7ddeHwoY+Pi`N?e|~fJq;VnQC~3ZQMR#NT1=HljQ1eE?!{ftx-1nck}L& z9lt0=YjGOj&g9VG2%`vbplI7|wxoE@yHHkq=~YZELUK#jcigsTp2G(Dh#WEVQ z&{n9}*Mg_9A;-8wQ7JCQ-#-bl_ZIVgsFbgMl7G|W^pPex_E#~MhWyV*vcewcGso6#KPkqF$?(OZ1 zw4Ft$Sr%6NU{`hUE2w^`gh_&=OQ&8WDL5GeYZcN&rZZ8__FHt;ZCugnKVQq_yRcV* z=vdaeQ75ioX%{$EqZ5$yHAuNlB~J^hj?CngUGy>XzdMgC~D#CmO3r{%W|7PD&} zha{WvXPpXRXEcendC|LE$u-?Lm18($r)f!>`B{iHENj5gau9cb^rWS( z+3^Q2KrF0euwWC{A!|OcL3#4QA8RMs)?fUZpq3>$vRGdxSKSrAoibqJWhD{gSzX=e z)WsMSNkKcWHf=LicD<-WV|0rZ@!so$=P}Kj6H_X-j|s_KektD0yLy6)rdHv`#e49w z0oj>kM91yK=oC)Gp~Ygcpv13ukey!Dqzom7%|9S|c7AjduuPA{KiaVJmmK`(`N9^1 zpXcnpKh@!a!^5ja;NLSu3bUA@M3^BLhg|%mr2iJgp_4`E_kzFgf-Cenl*b39qn98M z`J#Ns2l6q|(K$J<^k-8_XrDqM{`fJR8S2k`Q$p4ka7=RK*7QHMX!|DEpb`f8e)-_@ zk>9^xBC^5l=XgS)t6*Ock2p6D02)&C+&`FuLQ~y*u~jUZEVC;hZ4TMyyE)Tj6%Q&~k{|2WrSeopxV?tZ`UMu| ze7r>TdubQv#kH-!KLK_|PV^RgkUM_9t-_Adfi)FvR&nwjKC<*n2JaCmXgQa0x@Foa zvt*my3Mve*|E@jU9(}L#?s!`f885B>7W5f#Cdw7flFjn|<`+2Y2Vo8>Xtm9iXjtL@ zG-<7HcFoA%u@8|Dyhs`A1dXteZYjZlM{pvRkHt7H;H??8z0dMMJXOK~qmq^TBwDEp z_nuyZiY!cU_FI~j&b|>z2v!l-U!+InjB4qCP|w8k{Hdfvnv#x2>apOLdzFo`JYV6` z5t!1_O%A)rNkDetQ&dw)H7wQ}85cKv$0!%m^{THTr z;h(OyEbex}L-rU1Qs$89*E$0~2L?A7=&0{_AWu8rFeuh#cC|nD@tdBskHDwwTSH-) zRTyW$gDk(B`=a^xQCcR$aZICm^MP?8tkCCc=_4;NI?wh@cl#k6kbzAiR(TT1q5aN; zFxM@~244yB2Ai&LCFB9CcF)wNHX-}kk`GvwD8f;r9{+kQzG2JcxL#h`2f_ZQtW?t4 zWz!2i7r{Bn#AxZ|Hw9%XS<{`*@d1}!eR8cxu>@pL2xN49P%diH!On_`!2>kwAbU0FTsh51377)+$OB7%;fTt z%F;eKLXVK^puTL#5yE1G_xfk0voeM{VAi> z4(sJ9mbP^$_GZ1GZ3d4Y<(oI=jAD`@F=TGkI_yc2?AM`LAIj!htWM{NiS1Jf^Gp5T z{UsOzT6oYE_Qd`lS7#X&)%!K<8M;e42N0wiq`O-{y1PTVhZ2zP?pC_HQ)=jLrMo3x z{Qc`$@7f>cd_1$xeebw-)k{v9i>ixmKBa}Q{3ISL!dVlo%HVWO9W5fpfoUw>25ZN1 zvhm1Gh`~uW({lTylE~WqbszW_2*V}|Eu9tA``nH`oFyewqefbRb9=GiLNB=jeC`bG zyF1wuScDKiHyf_PSs{~B*kvbuthv&G394|6%I==1f7z@BlN{~vgYCTgPGDR0)OR{| zzXXV-YY+Hk_Pw~1LX2OVvz+mg?O;9#*keDW_NXhrF~V*|`eBrEtv0VZ5R==t0GZ_k z7@*Y*P6~7A@{o|A?fLlzM~8(z@6%2pC2`I}4jnbD3|c?g`Fz`p z^F}Eu{E#1t}+3YP&mblFvmk z{Eo42;-iILjhSoteJU_|n%DC>C9>&po-x4fOXE6<+0IS1e4`QBw<$Ii+%+nw1VW?P z+8;m;iK^bk=5%f%b%LPW0$v6p3u9`7CU+tG&sC~>!54N^uzR_MXnFB_d~F>^Fto#+ z4BkyoFf1N{HQ7+`d8hiw%kmG8@68|sBVs2*%EDVbfLPSE*rr{XV_xsv?oCU1l>{bC zCO%DS)EJi3k}dLGWzal5Hk{CKDa~TLz>>@YjP5>Zo0%bfz4=a&C5pH~Z}H zJUe9tj2ay<5jLK!R$HXrN%x|b350btx+zWPinJvk4>wEW8uN}sE)aYHJDx;P10I$v zNr40)p?Qt%8*++$0#Djo=`SywyWNl&y(THq;NKZ+ma)+emfYe7$) z?)E4HVQ;GQGb;BDQ>bCIf#T9(YDT2$h=hT4MRYzAb0A-8an3VsAIMr++*^z|epmOt zY4JmaEa74q+!zM`%?Ji=m19=S0JFB9aXP-nkutRmq4a;ngNw789sRP7=a%DpVL)L3 zG^D#%R)W^c;ehSkiN1%`%Mp-a&>W|Yd(anvZY6TYE|OwC9kx1dit{i6REt3`;yA&i zUFAntwwO0el9;2=fzTM$U7?9yE+YyjeirU++vHL;jnPAmx+UU9%7vv8^-L$vsIffh zhmY(-_;oM{YpF6q2g7g6wPGuWO8{2ss>2UxLV1{Q(rehS>b3;#*J&%VzIa-1Y_Wi4 zojw1^mdd?rk*N@%WvNKha71J46&PAsvwez7#zC6QZ$eqMp5OHB?xBUM%)_C2oFepB zlIM1KMq7XwVuB*W4oQW{>t;|4tJjKgf04WP+xEu~o=qm@{fQ;yiqf`ZuCzzOh;Gd* zC`E&;1PgL8pQ?IaN$zt&cGN_;wo)jh7r*X)Zk<5D#-bwiNRmuSVZdYPk5h|hJ@VGP zd8)DY08c&cdmOE|C`Nvp1OTHFV_@I4tQ$v(SnpQ=Lyp{*e<3eu{{ieJx*{E{B)d9t zSsBj^a4*3iM%)2Q98Gb=?}+{|!P-!Fs25B)e2XItsXEVyBJgTY2`qy8av0%@E(d$ia=_s_VHeY4s@WPAGG?;SLK9%>y_ znYLMx32zMR_Ranjqf`S|Jjum_60pK${$d3VM;bsSZ z#A$J3#jNF@hJp5=HhW3H6HM5N(B|qLJ>x72>IPYn?SW&>P`r}>&D7suzlNpMn!T4F zkp{V}lViJlu=le)drk@Y7mU`7`lxlPcv7J{cY^u2jA>Icp)F|$6i6ty!!Go)2hvA* z^Y4v4yCY-eM+RqqTw6r&(qwS9=lnJexaCcOAYzw2^R*Apv#HjJ;F6|A2AYL(GLKss zcyj9m*Ny6W*PXC6G^}@ltT;{ewU~_YlCL z;G+M6wNa%?XI6TZcn!5jd5ETH4>th1Pk_1;QGU5(5#5Ev22C*^=XY?@tSL-V4DY03 zypg430Dyezxu$WdpOUyL{a?V~&F+^FvLF;E znrFG&k>^~r+++{U z(sK9ppm6g(;274!ImH(S1kHjIYsXJYMBqJ#XVu?K^?#%r)7sFP`4ZEOj)eD3wQn9k zy0ePp@{mDa+z)~vpkI!D)@K8>FmQOoojNe(%H~Y~ASsgpT9bMT5YYj;n^UaGmVE@B zbq6x?Vica{X^w>p2vTvtRsK4EPa2nA6O`WJ(KwIbj%dzR;Mf4lsCFagFR%EzbcyCF z3y83VkF5sj*mt)HYbJ|P5^6`5;5s_@M-E$cw^IZO)3N@BR9F7Nv}iZfg35ahP{jRsCr3v_0BEM(_>hoc51ydey|IxyNsli1*b1{jQJ8ya85|7z`jne4?PI4t32xsamqzl4N25S3eb!}LqL_}n!SeUn&;cj&%>AxZ6n zwm6c~2|P{N*ZP94G;nTi_6-8NH3k|0`NJ$6_E^TipK5K6UZmV`t+2!E#eqn8Qp_bK@IisMtbv&A<`0`nT6?&ipE zbobPb)&LkZzy=anY`D~132n$Nj1lOr$8vN8 zaEEz^JVY`B)S&eGP6@e#aPRp6izf^Eo6GGJRA17ZkvsOSKg?!Cm|A6%H5v=ZSF=?*94T^n zFglVhkNcdY;~5HuBph%U=6*U2r3!J$xi0w1E(?+goyi`sygd@X%<%jGfdlRBAv6z^ zOEbI6N8=fwaf)ZsqZ)MVd}fZ64%VKjlaxiNC`UU`PicGZH!X3$B^ICkpELS89T}O zh;?rJ0Q-0gbYo-y^8gY781BV3LBNu^VQKX)#LU*AdjKk)I6U>$<1sx$#z_58^?CG8O% zf$f6hmwMyDTu@P3;I!_%^(=0%sM?++G^A#VTLEf$B(=yR2Emk_*~yBZmDRbr$qP|8 zn&u>X6ZG;bXJ;MH}7SFj8=XK1Sbu3mH zK4ocVfiyH<-_2%c@FCp?u4KxJZC?@kSX`FAQ4m8b*M5>sO?PkNv+yE))oIz%v>OZ@ zB_y;Dm2gTl7DF$JV$WnSN3qJOdZyGp)9Vj|mSNInGH(wc?%i{e~ED4e@tB-u*I8H%=~|u>fdL+g>F;k zr-{3bx#UsqTT<&M``7`A{dO+tyd9U`#)9!ymGJj}Ed@6l>Z-mEbGZwi@$KeP%g5U_ z^fC!p0FDiUJ@(P1Z@mXzt}QEr+bLA7DZsV_*uf=V`|;ERVZ*t*MN_K!6%^(66oC=lrXK~$#|QvTgHo&ZrV1E`h>&%i(8Hur_^Q;D4fxH^9< z(g6JqJv!NMPbGdZ7VPIF>JJv-Nf_se)2SU{p-WG2miRh%cqEhg5{=Gq{wD?M=Xrl zPk0BSK)5+G`+1UXgL1rPEh6rbFTx}7d;Xp|55fB^M|EUzSHBO>L+qVO^uINdDLPJh1=;|p2{Kxu z`QLh4*0hN-qPDEG(IA;wg71K$uKK!5eFf?nx^aS!SL1vkRCnZ~hLZ~fu~y1~zH z6$}o#I*S?|eC}c-IpU~ohwpEL=X=>EUnH^<^p5!mkx&DB%`NL9qCgy)Gq;9%W_xC) z?`mk9*+U6y$l{57TSLbi9YiY+?=uUy=vN1H!575&@x~g=Z*rbiHN~ zFpS-;p-;r?RoSfR@s>rFWv+QlP~PIF|6kmG1bncT@EdaX8H#?qdt2ib;%Ngz_0Oqv zBh;kUsaW~YR^d!P3(PQ2x44~?I`|0BeLoI~|5C&H5XEqGqMJL|DGnv?OgJ%_>3`x-r3whUHC9;!Y$;?{9a)vbGcNHc}qP3g>i6k%e^-Z zd6b?^Qd@(aTWT9$2c>$zliSKyq<^DNj936Y)X*s7=m~q`$2}kD$GHTt%$}oU+IXu? z-buU{C)I*+)NzkI=u868t0(Olq#d_V^*J$XmWY9D^IioW%6ZyX5pe&}Mv%7|W~Yz@ z$5stq#RBmd5gX}O+V7Ih$eqCGGnF{W&{QzRtoGEOx2jj=JFfb&)dcR31D}QE1EXY# z1I<~I_qCK+RJ_J_ViTexonsNt34I+5vOk4$)N<3B6bGcCk?El>4J_nLO%)sc4Tb*- z{|~}g0?;ztGW;SmRYQE=D?0=QJOVQ2IN)k9^fk_n6s&Mvt!BA3wu;;t4b{6}IgR@{j5NJGO1#s0|s@h~)O z_@+%`ieSk=xlWszb$)jRfVONE)I7j(k`tZMhh4`!-hb_~+T(cz*4PXXAZq5`G8Ndo*s$K?A);3C~CQ&VGC^tr>r@bg_^Mv_wrCM;0lNvoRY@V8U)3P<_YX5U-HB5>-gFG+H?O5ihK_^C*`k#RazV$Vm zhWkyGq&WC}bxr8lBPt4=MPJ) z9Y~`8yhbs(5COj8W%)mD9zQA}iw*=pQ8wN%PP_qVuVP8^PFZd5_ z-L&NFt{Z)*39$HNbv_J7ARxEBy>->sTF1lrTgrI{wXLw~UsfJIKS0j|7yXwoNwn2%7kBt(3v&!&`i@GUyB`)w{{g6?ZZFiR7=5jc!Z&avp zF5xv5cy2m7nt)Ybp0%09@Ex@QL5e#=%XmJMXv75uaTFnP7ZS#VAiWif4|JxK3Ng$w z(f9}@t6G7a$Pu6zeg+jk9VQ4xWffzq_}CywY40*Sz5$!9F1`~hZP&WqQ1d6cP1mIO zcdk1b?`M5ejCsK1?3QF);0WvYre*1HqK~}QXLB{Jnc47q-OFAvD1xl`;yldW8&glMh z1<>!L%dIA2w}M5V+~)S$+X7{he|d&#u#p6uEl&^$<<9huiDWABe<){vdU4*=LcM3?5V2Vft!OPK$YZngOriK%#Z^6j=ZRkmHlTu@ zI|ZB%@N%xS0a#tzlZ-v2wNwW>b$*G_=FI%Y1L%#cTnkNCS%~WXZVdN^ox@h_v-f;_ z#fv{^y&b|;#Pd@%^OiS6)xqf4u}Y=##HLoD5}*FO@9+zi8YRKneegCbSQnlc#&UEr z;UYqe_H}WnF}jiLD0Mbxpy-Yg_8T}J^PUH+OI@^YgtRj{c1)xgXdUUCC}YWGQr^T4 zg8-XU_s$e2N34V!3Yi_b{B1l_;V;6U8(#F&UL@x3ImwOA-3z^?pG8C~uTmwr$L4*s z2V)=7{)R3tmYXL{8`PF%Ud2Kr0*W2{r-U?~eggnTsxwGpt!GU zZv(HPI=onDyN!+34WNk>aM5kD@RpD2$&1>!JYX?@vKSeXy1{McEQQ$bct?PR811`k z>UNJ4WN<>Wuurg2U!5+RHeVL|fA_&d%9>0ZRk_6ez}SjC;xqaOh&^CHrz6-dC*}qC z#q7^#ks%5W+74Wp6i@yqhLI``xD+g6snidjohkxSjCD~+a7~8F4`F}|6*ui&bN2Wq z!{ZHqNA88K4B3ih6D_UU4&Q|H3{jO9-Y(m)>>O{PyPJNKf&a^&xZMb)0b4bERApjs z073^^E^DPGh`u9)Wnta_HaCig77s>M(lBD<%*87Y+M{muEZA-Tt9E!?aG%gu5K!g)#$NU!3CSTo&)G5armLRJpT(7T?nW z??}#AfQk+H`#?nox&QCEJ$*(Q;NR~HUj>9N@_BRexmi&64N0bJ2P}9wrwVLg5NcwO zi0c9aV!C^lAYn66BAE{OnU+}=LBHxNC`{mm*T8b>M4yx){&0}rwk8+_Z8jO{o|fGy zRCt6iDGEfogI{dk4KfG=`A&w6K&mbegC;}kk{C6*Avoe(&}C8$KdR?eg&KjddY(Bq z*HkLiCS6)xEcuCj)Z0X9Vdg0`wE~f~NIQYoAO4;B+_dEAX3xDp7dzcq9UZ~0=YU58 z;FlmA8@?osW1OEp`v*pG)TUFIL_d1PSX2sm08Hi>sFV<9NuJ0~?@ZtAGJo#bmSP`v znf=E^%Rq<1VKjzGI*^4xUug02SuwnwMrG)TA59~MLF%gCM&S~D;X#VMS&8&e)<5kE z{Qg+rlJn?_-(eNWG4>)Q5~V3P%}_p?oQRb3^C~eW8YkmPZeWxWxqgpkC!aLtXPJPb zOd`9{1K57EGza$1kt3L)4yKNWN(q1YB*8n1sit0~!FzT?2F0}&b@Z$X?Sj=_2Gnj{ z^>v5S`<&)@xMsQknPUEUZ=b)M#E^_^44?Qq{M%dR+i#8tYBc7$y5=BoN2-Kk#a4a8 zVMnm-nJMWzK&PpTP^3}NXh)%xM(Of+d9iNA!g1K6HWrFRVZ#7z59s`8@qL+{Prxmq zH4U1^if^rrJe1nK#hG(Vv7>WlZK3gMH4_>k(>TzHC_VlM_fLJxrruEQaTm9a!a8Xu zQSu6!TnE3G0Xk=8$Mf=s4gH_q?(~irp{hm-Lg1pOqLhxs#*IHTO`CVvGj2NjJv0hu zMC(d|t&%4a-Q(m4{)u}0hbDWok;DvN$QIHpNg|P}>Y{#W5U$cb^#Hj$@j^0~CG9ajfL?y1(vuTn?5H@rflH@kNZ2d8)H4&(tbPy8f#X3xQ_? z18ryO&Q5`LW;-K@a33u>HQn8=i5DyVSFgsACOti4CUHsoyW@H;&3^i1mWe_<2j|v3 zW@s)>wB?Te^?w^@yYqm-uSfpRRgCDF>ePP&vMfT)0|5k*ZrY-?RK8dd1nDTO1rEDp z7I3m>+NZtuK3vir(81Dh+Sz1dtmuV192ACHX!~UDst4>Jp@PkSGwvW`%o1=9qc&z7 zdE>j7*Bp3wfM@y`ST1OWDkEKXEUY9=l0kd9_?d%uHN=NC)CEVy7kIHUrGoGzf@l0Q zDqcnQF16Ptj5q;5p)rY>gP1b^fJ9>faV9V(qmg?)Wj&`^-6Z|WmmW4`&F7{408-g!`Ldl zXaTVmI~3H4E@1aMM@~aJ5gZ68X|B*YB2LcToD_?hiuudzF&DkK=##$st(nFpz1SCQc9ta*PzE6zul=CrY&0h)LoD4o=Da8RuZJ$SDwk> z?W`&l#ho21zsGWYH7i{iXeDWA_+LOj(GG>sfB23H>NWhDrhhd&NImo?+edHv9IONH zRLu-duAka%LF985#!S-O(8@`78r+qjJhwR(KI@zzfzq{c3WmU0K|m_lkf?~q1ua!( zk#ZS-)NY5m<~BTc5oyW$P|YGl5h;uGg#;d9twlehs2-7Bx^SVb3l3xcsP3MUPT3Kl z*+K+Xwl0#e=3m}O@&mf6*!pewe-p$`nk~OxvmNyzVi{xgW~_It-j5`hY+iM@udp^vaw+*rW#IfhJ z2)hD<7A&reR+}yJ-M8ywd)fk4=YRF+4&lCNOeq2e7vM9R==({vRCg(@{$VF$dpkj3 z-;!h$iU9RESbh#AYkzg;y?Ni#9ad;R3>cD56&PeJ1?9_2&h zk-DOMsFyp2;;J8h@i5(NKz){Gg!01zlU6WvZ*ZG(^{JE#sH5L>%Z%9gkCa9qR6>Fd zz=TYu#P!m&)c5en4F#8D=6D}s%PKTK$Mek7+)T3sg@js4IYPuMn~o|k#9JcI$%p3cH7X} z5-|AN^nlaz_m4u4snEdNBEQjP)jSFHmuy?AK_j6G9J^{GFfd>A0||D19iBH6pLa9^ zcCFMgGePk03Z2iwcxvC5IbdCi#L?9s3%it(;Bc!9zv^wzntWr_+q-&vAKt0a!Mp)D z(tm3{4e|S@meEoEjjkAM%_lC8aw|zI2#R3q-ntL?jh2f~B2yQ>1F)Lin`c9jI%@Q8ayQ5P{up|#Dm9Y1%JmrAs~vV2vK(|s zJGwQpBw6^1T^bp;3Xc!Ovq8hs6ZlDd?UgYS#Xscnfu6Io_6Bn|#uX>)h{n49aO+U+ zgr(`*&VG;eej||)p<{K&EFz=6UU%PT{ei)EA8jGd%eka^0Hdk>PgPHnmh(Rl&WEB~ z#-V77($Vv1LlkY&Mb>&fugP8VKjf8Yb1MLy^KmyIB8_6<1G7bvtj>_D^J%#liS@JU zGRh?eb|eGVczs96yNYuj%AcK}2fg{)4qvX89qe;N*jcJ##R} zd0{}`Ot*#5zw%tp)lsR#qL6W7~_Rp z(P?n9rF}TGJkECgM8(!@`952Q&E=X>17Zu?EsO!eTf=yRu zSz>@uC`V;$l{?f0;pAM9!ljFqVcJaNmk7CJl-|!_OquHGwEKy{v}*fUeREx+po1lA z-AV_InT`^h+_I*(I`3wshBbhh3Q& zk@)m8oIrj?9xtaiOUdoJVn0Jya-v+=12+Pz+-G+p%}YeGHm3ew2{(tB*0W8izYlJxeE+!GJ;6?}`(+$W-# z83`fFL=2*K4ZdW?^nr;fW{RR8b4pL#$2#f3|jhc069wP%Wj) z0WQNOE{Zi%PcjHrYrH1&R#8ezX*Lsk9!FrdP189kTL&;!k~wX*pe7l8wp)B-!LeMx z&SZ6$vQhW6^td%SOcJv z3US^U_V&_uB<$2hgs|1btL+4}ck9S+$o%u}mbzV`t5hYhSc=sIf+Et>gIg15CuRVH<8n1^2AqMv$1_&w42588u z9tQr;H|HZter!GuGdXC?U6EI8|5)mGGvMxA<6o86zVK9UY52ej!(aDH42%U|vc6;l z6eDz+nNN`L5gY(hV7=1bD*&3bh2TL9xe5LDeR(WUuY*l^#Cmg(KE$o#YHDVyr+QMo zpP`$!GO*rdl0yRwz0!Q&NWDAY^X9#bd~T9+U{jXc;W*2Zd5s9V=dY^qXaVgoiKD>W zpayvNc!APBDJhg4b-bIKzIC~e+k(h}LEK5nEU8flITrFzIli^bKWylRve!v7b$+$u zJ264LRZNHvJ|1nIhN$LstRk|zr$9(S<>R%d6Un^j~ZT#&83 zCy(y#+^@y1u{vi`ZB?s!E}TJi-42zh&jOm@K_p(yx8BA=T`p(C`;1hK1}j{0p-5%X zNwW%&RSSi{=nNMm=&)*Ukq{SBX|6o;Z$tHuF|H(p+=f%ghLI#)WHL9XHsFG8P>b8T1;JZEoAkEDt;5J}z4ai<#!otr$eOiMjay)oxurpSO|-nI zyhFcvv?jG~zxRDFOrb+e!1wIzG7gFo!fpmYs2^^8CyW{k(lg zXuET(N-JXd`T^AN*7AixxT&S0+d>@B6Ug(~FTQ0Lcj?Gmps>LW^;hR;-Grf6j)2Xy zwJK4HH^Nec9REzK!5>-8_H)_P?G_ipha)^s((E)AX8jeRx2ySAgrU8!o=!zv*C8+u zey4kWOiypS+ig?HNgl|a3;a21sG6SNwko`wLkpclZ=n&OCj4T48R)|Idp&!7-g0<~ z>WTyR${@*(z7_n6Kuf?Be&3&e0*K+kj%MZ(A;Q{zAOCmyN)0M)@6?078$#0JIqEo5Q1sOL!I)(_p z5c)@tSqZl0&7U<{J+i};zPmdsk#?j)ZlQphgW;f(hKVCcH*T9?own8gB2L^oY!jq$MsxeIX7F@4Oyw zXhIdB^1zL6bX#P=#{Mem%`S+;>jMQ6V;B1vbaz z7PO%;k%=0_YOy#3@PkPg0*_@IDJ}_;q1r~e;XEP|YdiZ?QP70_k;}!MG$w8hkr*if@a(Yil%BQINg_q}y{hQI zk31|NUMHc5+9;cmJ!;~&U(G3dUsa@PH7^JjJ)>zr3t$O7%A<~f5{b>DIEH3;+7m%v z!?i-xZ#DDa$S*STLjR-#diw-EmfaKvWLf7n!yA(wt!#u(W*>7{b-~k^H*D;-xFu*e zCkL`ZRxOeOX!Saey5ex#*3*$J?ALw?It87&^!i#aGy>^R6FX%Q(Vl^1JCF4I8eCWK z#D-0(s((Wqr98N71YwU9wIiW>_*X;xD)@_vjfaYNa}Dx?eSi1qo&Q~>@@^pp*R4h7 zWyk+1rcddqUrF3L{qO8={0iAK_}qXM?(p$t-Cm>n!yi>&k@1)|ZG0(GMuFFYoKBjA zEY6UWFR=u{l54Vz2STW%M;B4n?*#Kth%*>T<^gxBm85Rerx%{R^5Yy4J<%zA*%D<@68AcGys8RGTYs z-=)xNMI_;>Tv88<8lp@r`cB_NeLNRLBDt+Tuy2Dxv)NQf+oz=E1 zxI?2Ha6IaGI+ZbYWqJ<689-A`fLPGf?$Miw4-+3Rd~ivl{)lhqY)Yc^Pm0H*5SaaEg5I>IEQ@c{**NS} zXxVr&=d}CV6{g+MsOGj7w zB`|2`5z+X0aO0k+@AaPSl~N@px=Jp`y(GY9p)!Q*Ws3~$@3=~m4-Grs3#pE}?H;U8 z7eX&XeGd1iT}D2iAD)PcR$T~uM0{yupFS6^4hts)PNfn~A5Xq$S z{HO3&S3$F3>=78cEKtFczFH8nfh_fPZ%~`gapvw+nDNigWh0nzTqi+>?Nt_IZGugoeMm8;rQhwM ziY9(iBSPw21@vV_gR*aR3=Ss)LGYOIW6=%Hk6Y{CeUSY-(T*;7-U(EN@<%#L zx>70xJds{ko4Z@H09O1@P2wxJpDYxq#FtT%&&&3ODJa@IT^m=$T#Ed6u?HLWEbMzd zR~GxAK1@xI9NbS&Vbew61kwOBGM0)AXPH$Fc7U2uh(^SHX#xMI8Z;P6oFfV6QXuu*5f zG{`K)njGc3c>M^8j<_>9HrYVkqybLPL+P!ybT;fbTj66j4SSm%iH?M$vZ4!XBA{K$ z9~+-BnlMY)j3XlDnC4?(UmsDF(@k&TUFSiIh0UQnURw=m1uvGeDu?X+sXW0V6ZIPs zWThDxlco`&K)_%4?7xpha{gPe-T2n1yeCqz`l_6kc-{XaN-3+ZU^Cv~#x-M2hr&&| zI&nB$AquBWHGEtMUiwlXRN$c5ZCH)2(KD7-5UP_SSX`-#HOG!6?4OG=Bn-XkZjyV_ z2df!=zlGK8jgjBA3ysBz;(|NN9t5#S0(Pl{OgJ(KIV2J;MX27p=-dlVT(xq2Bs#q) zk4wJRdjhhkUu~-Ty)9_2As#Wz>JkZ>N4h9JTcBZBXJB3_Ti2 zIZ-3wxuMtHn)^=S<-+TO0a>Akfb$^TvP|{|R5gIwZw}wYr6zyW)TM^NsR9%ApkanK zsr=FTl-}cmMZ^xbczd#@aQqCj{4Q;m?fXdm?ELQ|mZm#>qC}=iYv`!PDSUF!fDXFL z)u-hAV9_w&wl!}+5H~jW_2thb1T?QFZAolSSE7^@<_qsmJazRdab?yY^AKhithsWQsM>%d%i2cV!0MxO+Yoxcr=(r&EdMjBMT3s z)vbFyn_AZSCAQ$9*KftxrHWX?WEP($H(YWZw=HRiDAL-H6cl8z(s|RsJ}10zNPXbh zYQa(F)^2-QTMnU*lz^zj-Z7vNWr?-LLBYqn6m&|eK))~FNrk#VjzA|1{+tP=in@7M z$1Jg|Y*m01=^xOeX<$*m!?aP6~)1qNR; z-x5m0NfA%f*wnd`f&C~Vi}WxZ3jmQxc45zO=*9AHnhP=|#~9@~9H-K%Lk=|Nm=6;U z;baUP_8!O09v$X|SU(kepNmZXMUHv@87#1fniR#V&1%el{uuK#9MiwqKh;`t@x0#Q zjrqiG=^8&AO__Q(!FLwib>;q|$SrdFDl*LcJk1=UV~TJrnaS=zCB>Os@lbESM$rMXdc2gYd<>c$CI+8|ZNNE?tVbl!f?5*` z?i6SJ)yjZKJ43SUDzdu5Oa6CQ1of+te~z3vuVlKK?U*4(3aas=8DwrqUbJjdYBFnt z@v|IH@zPg8T}&co~ED~Wa2=|V^(@0?6@C>#vH8ysYg$;OGo zITpq>7OYSD<9%PCkQhN&OK&RgHnhm7d z)Iq~{$3WqKU|NSIzJBJqa|~)k%@tHSKRV_T`3b%20_&W_>lP|9;LQJS1%{(DOlXUA zGTesWrn7hT4tBrA_X{J-#|PI$9M&*_e<{Uo%9sQ4{q3sfhAu8l;%j9U4g18dKObLr z2PODknCABXK2twUZ2aMKZ&zBbp6>2?bbn>?dD}muqdLTZ9(Q&heTGog_2L!j@(k97 z6S`3q!tv4Y+qLkcewyog(CFKE^!ATA&b?;QQeAaEH&SzFDR==@PX|P4ZkoZUSd~Xg zv3ZuuHqU2rlCTqeszjQIlWQ_NBeqC58Kb}kCC)oDMpT=^E&2o2NV-9=w1@aXJU)`W z#q>X*f*@PKr>OpiKv#=I$8l*YUZ&|7w@2GBdLL*5)s zoM?o)G0EAq9j}}o0H^l&(ms}NT=cBG(ub0Z$wj4&w`HJthUqu&6juB8H^eZ(Oa38~`{W?c zo2@whh(B}67olp68#>Ej!i_+{0eJNYq1_k!vM*{QaEPR`;h2rbQ2U% z^1{UVzxDJpN4ZHiiXb-w4q7A4oszS8JYA^v!A!rhe(MHdvRrHJGdwvn<7-;;Y-e%Q?P`icAIKBD}alPIk%nn#}pl^XZZytUfVE8_VXhZ7kb1m%XrM+jVCzb6LyouBZL}$MfoXdmYDld{2D1 zCAF5p3E$MoS;7w5X+Zlq+rQiOstWA6bssVGi+c{m6|<<7OQ!tYJ7)hESMT#&7?(W5 z@H&}0Yb7MCEafLpybAF)4i1?T(kd5g=B>&TR3Xpr7^{xoR)i&JB6fAjOGRbBmNi<) zb47i(VwcFhb>W@EOhw7#sD(oQDE?H(7ZOGi*r<^vedg>P{+g$@)aF6xYEn?cAc>hr zhl$E<#I#1{vu-IJ;^mNFS<<{{y~^sOH8z(GNU)geVdcl{mKNE6mnhh6yy^RIdzfy5 zMLB1>{3zL^ex3g~PPxDSl?=SZ4Yak2>JD2O{Fy!I3^Aw~;AlxXo!xQJ^4u9IV6TcS)P#%Cjmb^uYn^tI<^ zR$_LLqv~QHU+lxi87pQ@k61x>f9t zVpHLm4Td0hv#~n6Ub}iUyHJPQgA>huRa_9)IjT*dJAU}*a}FCsv%w~S!PFmG4~=`C z3<@nPL%IIMmmI?4<&T7?y>&XK3LCWRC~dpGN7%rW{!B2Wa-ws=8UI&^e?^CM;X zG?nb?=!8x@KyaE`gs1c2gedOru~~VgPH)JI*>MX2hEv2ugA8*^x@Opmu?>9>npirU zu;JCI_wNuZ!G-q`t%V;F1W07TsqaFn%#~@M4n;peDHBEKY|-w`s6I6Q$CO&xKf{W*^;~QI5%K{S6I<(2 zKK%#F^&>LJb~`)^4S=oLd4JZ~E#^m!!%QOq=8~*u!lxO#K`(sI2@f`|?Akxu7am5* zxXaIl`bfK{cS3(F<`M&b*6mVM=%ld0f!1z$IJq2D%W7o^S3g6>SX?l=_(El$+^dky zzpb*Ntl*UgSCP#3!!k6G=QEOIfM0(yPK!t4aaCFgJ5nZb_Sx5_E!rTT$O}!oL|Ph( z4*NKRVT0J98?8Vm6aL^ktcm(K15_W*x>TB2Nh7=He20jM-l5NVQu6q{qJ11?8;Y|< z*5l@LB#PSYcDjdUua~O8vYzhMgW8vlt$X5>g3|4>{K>>hXI?&>3Js;sD4}~{m~}_) z`8OG;j`=_r$iEe=%cEooe$o+7u^a`#A*9-{A>dRLUW4P{UM#aVgUc$0(blmDq8bjb428JSl9A6c>5!Ei0`#L-V&G(K2?zxPg(0n?xAi3@SKa@#mX?22g@ne*O#mpQ z0|b^018V`DCX!l^MQNP%ujPzdj?n-2SfOz}_i=Xg+ zzb+IFNM;)2`Vl?q^=PB?{aOjhMv@F1{|?&-PSsg>BMo1$ZCHD;96-|Lii~~7+=nm2ek1E zh!TIWqPCvG@Lv11^uQg&`>`i4wZxrHZl_DCuaPe?U6P;@TOP1OWFrr$*RTczHi!2X zKtzo%*Q-|H*Dmyv*k5-|`b-J>!M_A2uSVXFw1%-RBF69fGd3?pS6poxX-^rmvjMBn zH+J^fzkYhM(w)(Rz6MYub3~cEpMAEMKuhXQYuaJgx^#gjj5BAoopZLQ$Rzs%v|eo` z&OC2xuF+;1mn(c9e>W@#j~U|E*Z48+eFW_N04aW>B0!_NS!jx!bRjszen`|3En9*N zmM_dG^V)FIccw?cY2P^e-08wwxoLv`y&K1?F{&cuu zmVA2}c6=Rn8=wC^$!Vm1D*g6x#t&fj_04*3eH3u__#l&U#HjUN{?;@k-lFpJ59ger z(o=yG&&3}dLl7B;h+44@W>E}`P1YG+{#hVxUqyZd%OY`A4#oEeg6ktS3Yzky(;gLV ztb&cR6_FMQ#}5xw zLa$=Pb46={gDFKC!|~*hRor%_g1N1d2hpE@qcPBI8a6x3L7{5c(FsI~*QM0?IX;k_ zb)s^~D9Ou)Q=0qJ$c^48ntYrSW6$j5^vu<4G=A_<+Bhrb z7o*xh$;tL$`~qi190i*Fb;X*XE|l>P^?m_!^(+QoKE}^YlOTC@I-l$L^?;`?bIaDP zPG1P6&BDxeA7ar}X6x-`o9)97Lakr3=lQqR`#Ql0j8U=qovgJRJFz)kVZr=g!P{;RsN7UdDzrVQY9*<%HN2vDgVE4}plhXexge5m( zyD#>^bfEgvw=cWtO?7FWS~8@>^!Z(+r&#-5)!2#77k6)!K$J~RTje!H81sI?)8a}Qd7#t_%(MzSuxZK#LaH7ePQSmPme@2#D8aW? z_VWolx4*?{;UreVF&jGNcX+C2;@;Wz7T7ZAkK|XZwLz}v;I8M4#L2w2IC|Yi;l~rr zFXy}Yz@e85QSRru$4YOz{KoAWPBdnysXA>}3pA$AY5Id?{hb9Ld~X?k{M7J;aZqIk zj%T%NiGoRfdbM+=Q)bN;{$S=Wo1EJG{#?`frNDyFJ^54p&@=8w_<@G~^aL!QB{Y2Y zj5?0iqdvpa0fg4|BJD4B_8As*s^}CC<-G8rBj9(AdEj_Vq^t$X?}hi}qsGuFcFa!k zW+)(H{lN3aFTgh*RN3PTCmT~}_aASS`H)mp7bv^Rmci{fW-8Bw5dFp~2npHzF5<54 zR_g8Wzl1zpGB0k zUmA*f0vrVK)5#>pd?J>f&fpVk1SK^e^PgE#@MsCQ+x=nh$WL`5i5Qoag2y7T?r-J& zo;i2PNT9ezah&19D`@0W<$jw--x~f=1JJ$iX7T%|YSBB>RKQ=Hax9JkSIc#sacVTv zm})bRziBc)i7VYjAB}50LT7O`BJVvUojuTcDN44p5A2hEwNZS~D}V`+K+X6^QG7#> z_GLyUb}1(_B*r(LOFdVcw(m@t{oS1(vISRs&@%AyGoB6|WH4lp!4lt7Cr*_TPlDKl ziyu_MoXP3og6_J<_kclMzcU`SbAFwW9ng0M4S{Q6Be1U&dV!fSVy=__U z@^<+CnvV(@nzCmZaBsQ9_=er{M-%#^TJt6d~suV#8_@mp&N%YPls zkJZOae1QtsMz!mhw%C0nz&D~qCtI%}+ShVl^9W%Z)17!PREYtQ-yX3-8At-`fI*GP z1*EovS^AHFjzZK#%gY?DO84_XqYV0-4t%aHta~+RzWPjB+Xe)TzcWiML!Z{kUhH_6q39|076?n zVy&33)>B34|I^sqlm&@B?IQ}X}Z`>ePvVb8$hIJmwIC4LB((ldwAixLc3c)I_EDGwu z${ZJO&m(J)ABBd`MVAq^x?itFG1T)a35b-lut;BuoEkzKkHD%-@PMcNa!8Ouma{q| zjq>c_!~*!D;uHVnD}Yg+%yWp&ESzV|n-C&2n0Z$ffMx;kB$-G05=3xJH_^)0AiK*3 zNjImT%FNEHZT3ZmOYS=#RbVi$ky**Io#Jdj;Fss$7Y3$JL=ohqcKf-?j$M*_E}S9k zF5?V*r%k|i_yq>%VGCC)yGBDn;Q=HmNw!UUfD%pM8D%R~`5 z{q2VwKUIAg%EigwBxmFeI+5})fr-RQ&H_D1;07Hw&vM)g0t%ONvsH;B(Vt=P{fi(b z(ILTi6Lr(>?VJU`4yq1Ogm$QAlq$nW?}wGy&Hyg!!FhTgheE_7Od2dvG}G1HiGu@E zIP3D26z!98u37|H9Su2VnwLRvnCga52`P8$!NnbbdJ^EuyUPb^!sk4^YgEG*0?FEN zn(<)g^UsD9Ix!W8)IGbuzI_8@f8R_%F(%H1aV^>uuE(7kB1i@m4cvot@_05{B?pX_H~&MW8;)%2Xa30`8~7Klb?d{p$F)@t)W59go-e zEp+Iuw|}oXQNC$f@>Pa^XxS3Voo&E*js8pLO2kz+Z$Mg@x%wB=20t!chrk2rdqgyn zJ1xoGH29T;9O*@7QAX-redqy-_qRTVUDh?Z!a9`)dt zaL)fC$$B$=F^kXNsQbtJj2`N0S$MI9qIbM0^93Fc<%gM`%6h&%7bd+n6h8evhR81d zGJ7o;LAGg+xv=43i&i#+LA?PhMSvAK1KDag=PKh@pmf%Z1+3~KTO-7j9*HR(?^Sie z9k5NHN)V4(jR|Iwds2TZ;woLK^1Xu(4b0A~fvIbytFpzEwvwLlpezZjXoo=ID~ zfS7X0hP%I)4$$4+QEmWUOWoOU?}-qszWx+>17CPHT{Y=~O9y5|+^4)NzxWT9vdvii zO)=DIQ(lS)zjYt0hb-_5J7yl?PUj~J1L>sZx4$j|jYh*p6GT+)O`TqpbAK#?ofa<% zHcsQEG)6Sb;E({uowrmhxh_Th+jP{a_D#lw^Jvigw9FFs^IJ(Bpb_8yg zAbnZU7kb==O70gzD)X!kc-|&zD6e+ zwczup_D;-#rnJMZy)w;Vxq0(z9qOAW8t+LGy1B|FaHqk5H4{n~F(f_0QxQZ$eVsYJ zdlOQ^hUqIE-*g*}fol8Uxkm%w{abUz~F0M`TpdehF8y> zm!=|gxVxQMH28$s9dWYu*VW{p0AkYuRW`@1y=kEBlq=#&`|F0h?;uh>tL~Xg(AhUX zRoEPEukIDn!>9jEHZ$@ikB}!Tf@^W-?VKDT?$8B{WP3`x%yo9ajbmP;r~L}mVg5Na zuK=>|+fBZq?JE)bm1TKV%HGplZ!9}Oi9*IM1@_zzf=OC{Xvb`HiW7Tar2;LQL|Q8_ z10FEJ&N_9YeX#IQ>%x)+yJ>Eg&JD)#-4`oU7XfB&(E}qo^`f(;>Ax_T_gy2u-1fA@IggExOi3luEDpf zLok&d(VZWS}0vG4W%pacY;oSM=_ILNT)o3zpQ@U6a%eAjA68 zGaglrsJM}QBLWeN$#BSe5wVObir_)73w2*Q!lR-M+BvNl084v3U~A$2vt4uDg2E-` zv|P#1ZIe+o;0WvVNA*UOnfN9yk7n+=b_%OcHK2coIQ&$IkHDj-mbO*F3#{X60y||5 z!9y3CNlKl2G(e3WYCCj5=X~AuSEoV15$vhxY-PL~h zhrfzS=EdD?DI%~b>3>lygn__Sgc?fT{j{C3@o`zRMe z{eZuZ0BCiH(s)K8T79lxzs+E?!}&c;TnvkF10;!mW=HnsX9gkPyZvGU*;+epV^ufg zpH3_vu|~{>Pt+!CDAJzOjn5Ph6|h5{FLT{zacU7LBRFm7}D?be@O1(VK~_m znNUAvl;Z5#d;0_XBjh(e&FhS#MXAib>U{I_VsjcD6=)#6mMFS((i$T*Ys%`R_LY;XcYN_Nja*6OQ0T$BkCc zjfbnF(b?#a3v;|s=>yba;NeMGz;oG>&c{vquBF;V0HGn|yd%;+u4fZ+;4_BpS{(6~eCOuLidt2Wi`B|ed;QKC&*cH%$fK$MK-gkKLnxxmV72SWXzf_`DDPVxz*@QsVgqU z8y^rYr0!bAO&8W5>x#5KX*Iv<3)MTJm5oNG>e2!YUEN|3g%XKRL{Cs-fpKuF(yl@| zrN{J$m5ay6#^D4O!kVsMD2hI8mK3fsJ)&tg)))Ip+TXWTe2{;ew?^1dSGPlItud*1 zs}C3JU3J2s>JnB&%v6TG;7t*x>PQ=NWCj5(2CsmwsRhR2bvJPK7p*iFSifeB90SiU0b}dYPsy0Aw`aZhqfB1_$V0ZEpro}ky+}KB!jwaN9k^@^H z$pWzFgJ2H7c*?tg7k&&8_Ec6-w6lbsX`Az^xmnB|kvU0@2lQVd4d$NluUh07ES$+f z^g6qLpLOq+Gk+Enz7^Z~FDr2K0=yX|a*#qYE;<3ne%kRtdw)Ac|8mISS9*q{Qk$tc zviUdB-Xp?NqIe#WG4Dd(4!QwJciGQjrN8?4YW;KVyQI52CuKzz{`(q>KH?}VM-@LE z8C_F3pzsa`j^Wf)2?W4NN2EI`_+fnJx@x)gsW`;kHvuu6%XxxkkfhqqVo}#a#BAie z)=?Hp&i9~g!bl{aUd?wn+$AOOJfHXNamc`dY4I4F3@Ju#){BAKy`(?Aehoa$mY)rq zDSIu>L3YXgz^Vw^kM_QP(}b95<>_EMge+=`q~$dI(B+{`J_wc7gq&9PxelADo~{ym zu)fsU+c8jB%o_VbTK-owM>(4Q`(Z0`qO!8<=fj=b!Icx9jHuA~oaNQR0VKLN~m^P9qFtw@mnSUFdhIYkt-E z+cSMADe0!+X0NT^^%ZnHH8wF4N%)W#+4_)kBN(F+7XK^QMnKXvcXy4R3UDUJCaZew zlfRm4&+sPHO?1R-PPL5MK2Z^pjM9o&xzkdtKppji1J>TO39Po-$Yg@M(cB;-rM(sf zAfKwYDEYZKueG?VGXJDW=vY^^Ez%cszANImvf2%6KRQyM=6cVNJpJi*>uoJS*W5O; ziAn>C;3oHLsDaOU)9dNn%e<0s*KONltsfDO+ll&PA?b7B57;;&b#mg+PK!H(tF^m$ zIhDn4682r-=q(ZwxKgQvaG1b8guo3wzk@tLzd%^AcLhRY1uf?zp-Str73iqm8oCBJ z=r$}JA|sARrkyOL2g4=D94*Wen4e^A?M;g@NGC`M*CCG7oE;c4EUtl4>u9K$);(V4 z@2C@HjD*{70_hZ7;vkhKayTvYR5kP%r`0J_*Tv*e%Gn4~zklY^ z{VWD-!&zenK9N{62i21Lol}+EQWAekG;7XeO8uoYG!5xXAPNmn%c3J5h-&PbF@^Zu zLi1WNALcJ~Mr#QxA4_nNmCP(&-=-uPfdn3pe59S4zI(NNW5fS_Yc3X-jIR8q3$ z4)Lbvepl!4pVqV7J+S#g0U*N-n^q>x8tYILNgDlV!rjLxfR%gJFCQ>kw=SGzlGBor zkUaqsF`4!JjS9*eN_0mKbPDpTzCAdDx|AS$QK7zQcE)PL0H4iFulcD2di8nOqE^W~ zE#Ct6yFH6Wc&Xsl|GF$plKIBn!B*|y+CCX~=HQ{iTk~_9LKE)^pxPNCHOTBs196!{ z@1I->U4e<0Rm>0=LSpo*#Cu%ty?8n~RlY+Ne8drU`<#N|(JdZPg)g?q@e~ONoA7JD1xuycpwoM{l1!|1MAP3% z#I8ar56HF@2yJ9%HIx)v@(Q;LjS4`BD5bvlhOhCSaOul0A@cjqW26ofq89twLulq- z%yyNhiqTj8dax6b6%T2KO_Ox!&;Xa*A2h2AmD*zQkwKRX*vk7kCwLnTWuryCU2Jmr zkV{lAdtTeQ1tziXXIB-TYX&I59DEp_X>|+PS&R#8by>=pSgOio4v-%-Qrs6zGWA>{ z^1=kNLbBam5lK0Oc(3t?2klv3qS^BA1xLNe$IcJ572queBYS{w+S!3 z-&IcwKe!0vKC2b&@e70~>(1PN6SsTtE9MeX(89wj+l z9gvzPZV@^#z{mT!5xEqFEG8J1%^mGz7 z5jy3HQd6C&)NaNk6%TQgEG9N6I2mE_bN+8QOy~921CYZAH(iLzqfii^f`p4dyA%h5 zTxU?Klr)vf0R0%yvZ}%Lpy6#J_u)+bNmEQ1k&7?$gIUq@wrMM5s@fsNdEWYD$3 zA~w~cy{j)P4|l77ok*Wks>-52*TO@=g;;^ZeyET#}t_pqDPvEDXupUh+E|G_!>J*_WB-^qyesiNVo~&twLX*ni@O&1XrRuIE<@7; zujGSQEsi)9k3Q{Nj$!jl$mwj$cPQUkYevSyb;KZ5o>Fse$q?RdD3O-4ZG$BE6~(t3ZQd4u8}(0 zi!z=J~R-{k3QkNdO_#Ar3n1&iBA+K-EuHtR|n;84hj7Y7fPiQ(>>5?XI! zQ05PDoC+-Bu;>^7{rsKuLfAx}7(7mffG?E5ubZ2myK&|Mum3FO;fCPfhWe`(V<|BU zDq1q$qB@_A8QJd40yuQLw}6{2a20ZDGxyFS=BiH0i7aJ34bA^F$y6bx8!FZA5)95lfg!rFU20wH?CvhB?yU4u$L>&-NPQ z{oLtEx4dy|kw{S}r7$+i(?3=xCcX+muhCn3jqX>ef^ z5XOEO4b4&}fMd*Z3ubbih7*GN6c3F+{PUvpNK_`-S+J7r4{ZJOlG0@keXC#o>G=d_hvaNS|HeTT+`F@+iWgy$~b#@iMb{3Hq1KY#E%92YMqWteETyV!z$^A=paY=L2+ z60wS2Zjs?PANwi@Yq>&m0b}j6vAU_a9Q`bIWa|WyJn4r^)xh`Oi=pS z)Im$zbOLTI39}M%34Cx9IMK*4(qBm5cLQ$UvHtPa;h40F3~SA~hR^J|Nc9#E7i;fciQUA4 z-W;8;*W)S?{ue%5grcgs+?vTK9i=*8-GEcauzy~JtHbwe!#BCdbjPRk^0LDh;fcCE zzvVf8Yfj7@sgW82ND=b9%E&b_V`B%ViIgAx3_zDkTZP`L4S*46&JfLVS@i6@dM}{)J$uOdey&+KgzgIl}_Wi!0OO%)mo6*j*t>NNIHjk8$KmVTQU-Dq;7r zIv)m^xZ_mlTiyniGUpIoK80159+leoF}vvH?;}x4OtrZt_o`X>D$w3~TL#;jPP-g{ zMhdr4foQuqLm(;00#Z&AHETnIMFCY(En2n|8{1cBXDt)lI@D9jn9D!i);iR=Z_*U9 z$$K875_^^7p~MN5JIhg&Af~er1lu$`1sNRwHIMJ_d8dJGPW|$0Aa7#E!7~jiDqq>1 z6S!MDOX`qgAeo~`ZNwez#s|NkekJCU2beH)0x1k6&Cv4=F#$1L<+nsB=)cs?yvSeuc;4q?^uBk4j+cYCDaF_G z+1Tcmr59E5fH4u>*DGGsntZu%y6G1Peb_BeZ|v zC#+o(&LD@#{c=V(a>8O@Wj7WEFhkr6^9{W5rb8?5R6&5Lmf#E%qqjy zubOV=gk`Rj%8($Yxhy4C3$Jbt=&q_5|GeO^MT0qy1e>5j0rwE%k;vrwXze}JHMmNN zck0(1^ESqP!CnmO*F(CH1p2Z`U|LiMa;?+$UQ9bYWed-+;COQicuvVzyKuoq&*zkv zKqt$g{iIp2lv-5Ug3Xcp7sBDmIpNtyvzYK9;{u-3C!BTc+~SReV96VyBa*pu@P2?! z;n!m8-e%;I=DfjHy=}7r(~TY-C|?3KGs| zoz*Y9*C;~0SRXKp!U;d1TSDju;%5)J5Ol8NY2EJK?SoLWJ6MsqCVBtS^O0%cjceFZKjw_pPzV-8cC6%X`8~Es)XZq zx@`FdB$O%DQI3^$zanc()`uI}tnw_{Wr;@?-v)~m^iU2wF)3RSixV@#zzRyeGAMCK z&o2RqR;%;fhB2k71bw7|x?-?r@y18)jKi7yl9uraVXng7!S;HTFF;!@Xav)mXyLU{ z2vKTEm?{Y?Z`tCf+nq`@PAiTroZsi19ae*XUL_nbAro-=R^xOgMsHBy)xTvge?LCt zeP8`)@2_>Wxf}RV2QOW(etD&G7{N30RYl;mk!prG}qSC!H+7>s~ zlE&;n$5AwqBkR+r=-8II<-TnI5{aU$B^1D`)kILQvR1!Hf@IXb$3q(F#5mw4IjcSN_H?pG zKBRhNg6_ZM5>|h7^vt2qdvq*1OvDL3O?5p0F^crR#|}deGC(vVFd+8I9=qGVb=@2| z%Iqgm(d~HCd3Xl`%Q|meJF^4B`AV(Pde}tvl$@8Fl(1o8eG>=S$YN zo3c;+;fovT)&54CxuJ~JWWqLV-tbtFl9Yi>Ke45W#%(}(XF5Fabd(65=I|0zlJkk9 zm6q_x-CNw8y62xJStY#4LD_!)820&H^smdjZl6k~gWVAo2e z$5q>!q5Mtn(<<{0fulORG9fF!PO}zrzRDH76fPClG1goXymF>OIvvsOpLJ8eahwsv zaI{32%G-zoo#fk)+mtVBqmZI+hgI+)@+E8<1SQei4eCRjitb>j-=BYysqGYDof0-D zMO0Dc1%5ad@?bCJ(_-FmNPtD0WjO z9btujlS{q|kJTT1sZrsh=+Rmacr9c$0&M0z9#=GW%L9(Cd5nG=h@RHn3#{;ayX$#d z0){amp6C|$-PY==thOwN{iy|oLcP!$jugR3p`a^xlFO?Yg6uKYC@>m>RU91nAwf6YJ4X`) ziex};QlBnJV-az8$aQ1tBN4^8E+JdlcyzJxSeKY+8bJLx6Ia4v;Jn!JS8k9q`1M%0 z6!F3~M%qK;?Kuq$wkL_GBjyRpgHrZZk7H zlG_cqP0UNldiMks1O8lSASNZc@*Av7OvAaa3c8>d8vzf$Ceu7^pn+P(x$8F)?li)9 zCt~Cpy$BSy0Tb_*T%mgtUl_RU-j~gXZgarS1d@soR5It^mx@?DbFQoxncYRJ(e^fn_BspDuW*)J9o;T2YTA_H|q-|#7PipDMmMxZ4zn?2zH&nq6(P{qKs z&tO%F?q9z;JU7mvE@Y9$G=rn;_tr7aLB7QRPsl{#cw95RJEp=eIv0@Xa)=94kmqav zcRNBq_3C4;ShNzq;ZNnb#c(iKNzQ48?TZB_eus!J%huW39*c_;Pf_=A4C+%sr0`7y zFxnlZ)^3JG6|u@^7^7R{=C%_o+ueX)vzdpJ+$PYzV}5Cnis=TPtbZ>GVFZPUF7Gq= zL5%%X6g=e!!at9&9fR$N(pZ}@Sh&<}xY47rFx!rch@wohN8)Ug(9oUXBtrv=gu=no6#Ai#Fm~lk;AD zA>1b-o3NrQzK6!Ukf=@#NK3MWAe#o1rcw4fs_M&TUkQltDZZWl4vcp7snM9q+#FBL((vAsQtODgp2Jl%;Zy0IGFv{=8Tm0G&el z6)tGQ^3s3C^n#2QLBrh%IDeE0%(B1I_M7qRS-PQKm_=C7I-Af#)kmsd{D{flySaAx zc&@qgz;#~{_OQN2ykC;0OFsGZJowaEY|e!%_&%O*y`7u;99!9dyIy3J1n(A9Z|o1| zP66~M@`SVIM1XIrEf;+f(!Wd()iHTaib3`ae)`iwpJ)k#Cf%$W;+rb<<&e8~Xs&!G zYEE!e!?xr)9efyNQ=fUhO!$7})WlUUlIVay8 zgYt=2h);e6g_^VxH{+*J@8J}oqXikoL%`FaIn z2|{|xcpz{QfG(4afpfJ>2k6h?A9}%@hB)0Rk~^lGquF<9jb?J$v*Jpq=_4w09(}kQ zs~ODYx}r7iuEywErl~EK2*8=>{f63J8Na2vIj!JYxcuYaKoj={39-N4CrBDy?2^8F z%F8`HpVrj)d<-q^yV+x!;Zxd7P01cyxk%<8RTw+!TpnkNMQY!JOiPV7bzjmzsO$TG zaQNfLGy0v0nEGS5rr|1jnQ}WHFPELRw{PW2dOC^RG4EW>@8gVq&K}QFLfr*4mO&=~ zu%;dYOW$DcccBXk{`3%T$N(x%jZ;@$spt8w+r-a1Ulg>@#X1M1jjdgctRwk|tkj5$ zMpsL4u{mPg;Kuh1wP7DNjx)iyL?t;Um89hni%hEg)zDS)r)2PX$kYme+Lc;cGmqA} zpP{o!#l{2|#>HI@P_gh+5(SC8Z0Go*e{-B&@}VIV@K+sj4grAA-JsN5ad;X)n;Q;Dh|%nb`;oEAj(=5bg73jN(YN2qMj_EA%~~T!ox8}JRIo3>6Hn6 z7CHhgkgYc#Zm`@weJ4%Mo5kY!kflrJ6P$L!CNhk7=rm0esF%W*K-{?6C@wrF6Dax& z;#}eE7KRK7{+1_aG_z2I51pHDesiH9vNQC&KcgBGE>FE$^!6huBoiLSNbN1@+ft-3 znbIa}>7aDq@9ABNTDIR8SbQ!4RM{#g(Eciu4XrMf=RMLdVLGy8~rS`wP`oI9UeOkY5O^L9u*Z^6=A ztDwBs2-m#bw#!rq5yhd@A7nB7*m{h{3x-yfhiX&YMl zUy}xmQPA8Y%iCo<8;$rT3cT#?nYu#Vh{=Cm#i+|?L= zC}?R(377O+Kne$2I<;ihe}sb-`Ul*zJO1}TGkL+EDeAEV>dg%gpGR(Pzfe$aA5Q0O zJ%Ne)ivz7R(O|$8gaekZ!gW2WZ)>F6kUTF z1%(`})R$!nUFe4Toh1G1vnf_#Qph4X!^6{JRlRLp#da?yDCl-Xg<{1q4CBUdt-Z<& zM!QBnn2StiUIAs;KGVALGiA;p`H58&& z54l~~Vs-eZJz8P>fAUs}?rQykyYhs15l zC1MYn`!U#HCY{$vhe$2*J|v{{^=apWddo0y9Y@B66GA7VgEAn>@uo$$RItGy0k+^U zg&H>kZLu8ED@CnxyU-5;S0svuE5$seSnuZ{VoPyZ3jX#l1~mBaFf42$Q66KFksmv% zo}j0HggIhbi(hc$b^vP1H@>T~SBvWljkf#sJyQpIYTL{*1k=AQKY+L#id_-GaStck z@ESmqDyrgxTTew+ibfts66@$#h4icr<$6KTDv!7Wa&xC--)48A;UNq*mhDxT-vDve#uPLx; zkfS1-&6csmF?SDofdN?U0WXU2TtAg~^GWMxV5kI()%h0-R9E+}oy8Kq+p{^6LS4;Rs)ju9JB&rX#3<@Hi@wuP zuXFH8W)}gVL+w_B9(~g^FIaF1eYnAwu@wHmzTk5+r90SqENJDruUL3M2P-=K+gy>zI&TR4pcl4OqmEbyO z+ptDx@YmhGyjaR460>~wr&h)8lFRw~gWR2fTndk0J7cYdVDG;HZEK|Om!vG;dtMm) z|I~!=Y);8+DQWFwpAaY+nnuRV>`7%s$A3CpP|42!*W z=QZ-K+b8tqnRvS3mbm@Bws=AGduPH^X;I~UIa6Zp0j@k(${_bMAO{_**q0>;xb-2R zC+mK^<-+*=@~cmGgr)70_|cjOe6wvKY$%82>g41D*3Upvw8Jq2 zkY3;JXG*R0>Rn4jFHYV7uVkZNF4C#rgmyF{j`K2pHdhYW1yAjGl`{G<@LoJPKYJ5yqZf=Y7=g#xQ;S7R#CMsX-Okx5nmE5lq}939y!o1ru-_jBoe2uoOexODcEi zO(?mt*y0Z1{1fCYoVNmH?9|oOxAR|;{V`Kp{$1if`7SnkPkC?D8$C_u_x6S6{N+ESOg)pJt4MdyQv6}EZRYJ? z1^}a%g4Pp`F+TUEHl0VDK3j0=HGhpyj6&F_(`2hAn?^u%Q(&=_B;H(-W3p<)uDR?PE(e>#vlexaP6-msu)JS9?>QT-$+bb zHQ&UBpTu3+{GX>QB~$dRsOWucLdc&updQpw;j|W@&qf)}^56U_?^`E4t)utxIF@h% z>cw0vvc0pA#$C5M0*Xx`c223z$yb#R?;UPM@rZ?^ghrepEalY>F&I-4x}blB6Q#ojnC%Y;TJc}UQjwIINLBHZ!c`X;xX(V=D7@|3qG6{ zCYF6NY2KDdHNX5sUmtg+J7B@@w@V??ka&=)9QS*g%~p%0(J6+&!Hz1(Q2Pc964IX; z9uWkS$7jR$un0pJLztoF-j)Y*9`&Yw%aIWqB#4cQmV6?(+!5q#Y~;t*-u?Q%+PIOy zMd`@{OL-_C+;M|FW^w;wrH!_z*0hQWsBObRlk;U&%%uc{If2Ffl9 zij1kKjQ1*k$_T1bz-Kw;dZfciaTG;A|CCrqm>3u78Qa14SM)aFUn0kpwLc~x4c|;5 z)-r0+d4Do=^D%c*8z+`__ycfst1h;#a^Wz`*?FJ&0YdEdLm+!OkQO26`WLib=XiVj zaR1Dnf6Uhgtv8+tXe`|?SD3s9j{MtMYOX@;(aQeoz3!dIdhVxhtbwSXp-8;IIuZyN$7y*eMM z=cRA?YMPmWF*xJ6AnH#N@S-3}q|J3IQ99o83~K>-ES_4a`2j!j>@wwFZGoLKAoalP zGY*o2^QI}sNcJEw+3n~q8|dz_eNu9^ZHuh?{<_ysW)v#PiT9K?xfsuM98k+O3X&WS z=^VxxCEzDL-R0tz6B0kF-94G(ZamMf37;p3P!=H${8ibzb6zwY2>-O+x<}}ixJt2M z{H2n-ttuw+nA1pJ?bbM}-**3NMhPc>5a)VR z%3UtCk47B#bRITTT^HPx!F?>_vQcX9S-eZoj+>42p(89C5k>qw4knmm#Ss0c{}USo z=gkoW(<fAo~QdArl*BHxf*R*WX|UVEQo|-<5S9H zKV%D>(~{zcanUCJ{d!`t5zj&-YIS!nyUqF^9@_SgS-**ROaBH6X4NdL%gd2ZF15xC z(G5Wopw8rD3M$uTxd{}{fDbLJht8Z($k?GKh58l6t`uEOSTuCkpXS!pa>jY8!n3)1@IiaXfcKx{Vhs(KQGs_TugftJl_1rkCYh; z4b3y0d^0`ztO0QoR+jo(UYEeLZiTehmhw*F@b@57(@YDAdL%zC0h1ODyHk~8<>Cg} zst!as^@oeVfLjeH=V=#KA!%`C1u6Mqi>!4ZP<|Mjr-l~I8Bj+DJ2>r7*XB=1Pc60@ zFoUp021u8nEWX#!?hD+jc&N^=ciX=r zfnu+UYT?fxJP43nTD5-tXJHQ%CqKdWmuoRr2Wp|1y2_J&H=lgMA7Prxg2ZvEbGJm+ zt78x$;cVbZ)@C^nrkh4$_wMy6)MWSzpMfWwRC#V_eIW7&^~J5Ei@qO3NrebILPnNCKOwyony2ZV7)qdBXoneEp!5Qf|+#wgk%iDZ&A`A+A3c6SZP)4PE|F#y0H) z>Q$AkC?G;|G9*L89=24N0zHzI6O)bl$Mj7Nj8GPlgRj%+)gp&$+3})I@pa5`!J(9E zl=dGso#Sa^@7_S#FetXD>DG7*j#cx-5MEoV=X)k^i}}uphi_KaOX#*zY}peueAE#1 zycT=lEkkD;LB=ic%t3xO&u@))yVmvLE3TEQkEK?{VQXZk$K-n6fAu3-o$P8#GHvmN z;CdzQQ|_mwC3?;-ZFWo-rtdEGwph=n$f$TTu0B)k{a-bOaqg76(3vN?aH`k*IEZq5 zFie4=PEc8poD59g$X31}-Ws)j}ToRkznV6UL=5T^EeO5I5E@V_7JCVpNx_v=@ zH@xtSqSV$qMI0ao5LXXJL?65=!TknwA3Igo2VG&1Qncq65Z18 zC_FR>?w$u!F3mc`(zTagx*OJj^~rk-BVClJMJ29+`bgEZF)y15@T<&Mlqj(TBrTfi zhMTsnk-FR>DZUtTW7Zayva?91UJ3JsVCWep>~dz!1JnsF6yuv8tM_SP7+)`*IFkw4 zC~A?1HLFfw6~6lAo}?cN>|4RM2N>1GmRRXj7dsh z%x1(Y!O|AD^Ca&Q^}@rz9h`VhyM&nMF}#!nnQz4H12jyl7&Mf6(JSZ8Z6Ty{w8HzJ zQ4y9-jy%RA^y1)yVP>BLyv(xg_>>|@a0$%rAOdl~$W`>Y2U)+KC+1v|)btfBS4@n< z3BH5o*}bIiJ%K7uaYexwaDq3uAwL57d@SfJ6AA>YBQZiR41&KZYly-7*4oEIZ5N&F ze6Aob3P#hMT0CkaaJc`@9Pq~>fCx$g08;CXi{ zus<9P?so2<)*co7_|NhQp6cb2pK^M9b^R@A~Z_|CgbDkq5ZJ|mC$ma1Gx+)kPntm#YbYi{WKMc78 zB%aO8D|rr}cXiI(n};^NpSK}W;aC1_fx8)aTDs%JM_JFh$^Y!e(jK0ka_c|R>``i@Ri@CHWMXFXCzSBmcHUXhbzc9O=JO7-A;lX)BU!2C89+tL zgZlD$8NNT#PCn930&Yy5PnrS*!s20xHiybN@e8a z#+HV{nk}ycti(lHwkak!?kj;1|ND`5|Nf<@H8b0KQSh50I+5-g61-=8@tmhzyGf-9 ze*^Ak2k=%;@<8AaESb+w=CNS>(~mNq^ROwuyLx%rId#qN&gf5F=g(dL_45Q1shzY3 z^BJ!9?s{(kmGqve$hNPyN2`_qhz4lSw0Y9;dIrOyugL9@E|!I%NQrG zW^EDg4YkLQNX_=6^$p=YA#;xAcL`7qKJt)Mqc>ii?0*&Y0S()fzW5qx)%y^XmZB42M zaI;@oBX+ZN`eMI;S;Ppds3?utVnWLkg(Oil`h|~6Ze?~SZP=rS*vX9QaZV3x*K}b> zzNa+BP&I(e>K%iRdBq_X-YS)EN_$;(wRj18WdT#%7|}t|3rG6Zn@{&PHAod*Bev&% zV10P9>PH$yySt+Ki79B<4pLf_vxu!Yxz~`QUE>wdD*6n+ox;zA0!>&zhKm+M+Oy!e zIALtNO+OUB4S01ROMiD`x@&LkszN)1>eyiK3Cf64{tg7avP8gXXq1gcjk$IW= z5uqf9H>_QnH2oNVYlAV@=l+aB@8-k=%3^HO{a;>^0sTRtwrW~5K{LQ&!hy17zDGA1 zG-8@B%bg5q$9L8P@wsEgY>Ue>-D*?o<_&sv$H3b!{WXo`F!A!bMa(lHBZ0xnSZGb& zwIC#BT{GLA#JLNmfF+0?Al@EEOiO#YI9D10KE_!86$xpcE58Y6C`S0o6ATdyA=ghY z)ZPKXr0MzZ&Ui*Jh|&Yz=Zr?j4f-!PybfFcbftb;;mb&eVAqnkNwu%t{U83(F~g^P&z!gYUu)j6@9V=l zhJ5$k{meZ+WRC<&g5HM04|75{F|%GN*eY zT>L8YYsB$^=uar(3&Gd@pTT(yN$m9dN#^{F+X+Ll#KtJQsg~C*&B2!Ijt`d($4I5p zagx7zzD!cRT7QhCfqd28$;ToHn{bM7WmZb~k1eQ2RO%+VClGHa0KC6loz=;WnKrS6 zQ2VzTiLa|7afJgxPy%64>XLBzn^R;B_(K>I!OcH57n$UHyjcAYR4i;H%HeH4@kF@g9GPCO9OoE(Y+gZ7 z%2;qs7QSAE9t|dN&zJH3K0|R;c+35}J-k_iGwTM}llt!p%ObbNE$q)`EiT864gqC- zu~wL8us0lD4v-1*WD--~Z$;VWY&2+5L!#LXrto_hV*+j~j8HF%KmW!J#CC2+lOq-_ zQaZ-z+46vfiw$5vyQgo0S9#ljQBbRp1K6bnh*iZ-vj%{BP=E88M8Sr3$6Ca_FcVXd z!+`E%hzA((9jp(axe|3CLbBm1ppmNJ4jAq)xRPcH=RiO!bPUP)JTj?g=<^bW&#j!; zmX%-e{3F|M-eMrsh{@%y;REIwnHr4cCXdiNU|p`)Kcepb_0BchvWj~+f>BDJMbnG(--qQZURqkI3Rucb2~L>5dvbr^ z>{)BzGS?C478J)37FQT9#C5V=| zI7O3EKH%Sda{-ihG00qgTe7YrVz!asBNSlFTfkGkH}&bG zl+7qjT|Oe(u9g^c=w-7^m5QZ?K(Gm|QiN#~Aq@5S2-%Cp^T4^Cu3-NUSiS525^sVs zKocfFiFjSs_cnu4hl79W{_=47Hu3ezMsf!-@k8ji2;aS2G?oLidoiBvdiN; z$5Zv>-F0acOD*#5)}fi0J>I1v-u1lJ+rNF7cOryb+nC*0tw6v-`M%ROCs0u6zzo+; zpKp16zhO7FVb+>9SGj&Y{Fjo~6D7G9iXN4$7EX9D>?dcDALFyYmBHEx6^8OCexU@K znsrXV1L`uaze#MI&^8gqgL4s3Y2NZ-twtTpVj4hs++zI-PH|<(#@jYnOy3xM;aQbb zVmtLLL@w|vSexEN8#1(-@kCyh1P&7D4hzt~7-4Zn=lIdp{$(ORbBQSU0MlNDxs8$VEH_pKTMIv7T{05*mC7 z38rMkLvfCOU0iBey`!I$p%F1ihB8^gXGUl<%~?3|7q#*WPhrgv;1QwIrd3^?8g;|2 zJ7$6~@QPt8$+p*wa#))XhU-s2(atA>Zzbz;rPu%O990p#RbIT+=U#aWx*hYQ>%t;x zkw#UB$BYf4@NoOfQH=Ld#=T9ry;G&xzj0~a2Y*PuL=l?kC`hIl?TJMFXjUY(-nn+t z^rQ+&KSYBXp4mWHJ&_+9pxem?#p=Q}o_+_G2f~E+S+iLHYH!P;Y39irOMCL^CFZW| z^nsG7B)hc&LvAbZ9u^9@cSIz8*oC*4PccEDX9C(Ec%;yWL{reazmX+>_eeQcy8#UA zFbBiX!aMtSx7`kT=_Q1m7Z<&JHxGCMyTyd$m#pi>8xH0l}2b%M`g7P3TZXBsg-M@Bxj6Z^@hog5y<5}<&3GDb9p?kw`6?^&8 zUtGE_HxFilN6b=d`h&Z|;Zz$5CSAD8Q>CkTAJ)Rl?pJ@HT?E=&GY;wAH^^Cu#V`j& zfP5AY-IqFw6ATOTF8isA)Mu9QFSQOW@Dyu+sve<^6Gaw+Kr=f(_LHm^D+o=-O<&IF zq&kRq`yVzvHSCAfs~+>s=x-l#pGWr@XOwD4ed@G0Uj_RjqG1jf!PCg2Nk{>YYR@M+ z9iEmjxMtazBa!&92GotB#T6jl@fs}GmY1Zm+H*tP(!o!+vrBmerqKt?+38|PXFR?y zpZn>`J%2BfAN|U5KNMq>x=(D=MLPz%vN@E_Pdc129-zWOI{_Dk#nv$IS&aI${-lY_ zx!*AhSM3FiU9Rzwa5-2|zWCVpiQ97&JwYEYUKDBlp6}VrU4gLqsC1-L(H`2e znvf8aEp>S2l*0-GX~)waT>j|+sCmEcDZhPt_y7!S!q(UC%>+G0q=a|>Lo2@g6TX9= z?cfled@q7YV=@i@lURKYm>pTA$rrckH#B(iWcT7HmtDmU^rr zAvr93;yxGgAH~+5p#oKT6|=@2DY#|4@XZotv_mm|Ck#9-l6|jMxN2+1t^V89-dD?BV7D`ZQ+tWH~n+faM!94-3rv>ebgs0+w(V-Au&sV zLp58rnA$hI-w#+`M*oYDcoG?wcZ=No>qSIa)b*IY`8PkJJ*C8-KKi}w`@hwlde2-+ z=R>JehO_eeEAk3mzxNd!rk6=SQ0v==$TlfM(OI%;$D$T)jc=n^f16??+r}C#hL{F5 zn8yrr&pJ%1C~R}KeTr5KU;CLt ztwPX+N`2IuxYlot0>dd5hl_hyeUbXrEUM2QQASLr;1i(F5t=b@WFnzwp=y93r&OF^ zqR8kcKgOLx2ZW&oCjq^*rMoke?O&VKkL;6g$pz<^GK>(DB3g*Op9e*%6wK!K-2~N} zRHF&=c_sLYBNdAj*cSL>Hl`0`JzJdlCd`%ZS>;nzHc zdd;3SG7NYX^IP3?d6e~(WF=(Z;b7pf*JCZPJm%7hmU6-RbELJfzgYk#y^2EKnsN0| zWlQ8qY6%UW$=e()S_=j=Vgx^5-Zu`9UH`6ztyOBq`U|vTNDJ#zIVPF`*@s=$nfKp* z%|~o6=}KZdZ;F&jXNyDV*c|jQB_4-e5*N9qnfeM7f5HB`>qm)S$n|SRUjytrj6YqH*>Igvn(c;FP39jJK>T)r6 z_!DkGTqJ-L;NS|XTDJP6S_B)5hn2!%HSO6IWuHVZiPHC*(UL4ym}(s3a{W0q9f^Hz zAk4OvrT6kus_7IS5fOQ%^v4{>T=fjWu3*%iEp1ZUU`HH=Ku!$mOW;S)_@T{VTU_DN zGGtSgq9hI@)7E9f%%U+X_?YAM(aj@k>;;+BTs!2;Gk&U^Yy>@-medHMk$Pd{z`wyP=ue;bOB$31YMHh9=WgD zF%!s)d^EXFD7zn*@v!36_wv3aPf468 zpU3YP!Sev=%ST${JOcjtH= zn<07H`LF`>XM*OYOs!K?&lH)z>RxXd<@v2P6rO4Rw_`v#1@L{M&SE{;jMw#NTBIrl zMT}(kb2|SvwZbal{j#?8o9U}~_-*kR$GVs%XQ;)}BdOK4pcbuA`Jv=vY!@=RWK6;taMa-&x(`&c%O*b|C6nv*||G2PUKsmjuX-wa)nOD(vUb<5Dzr<}X6F zUD{VLE5ALsmg!)ygNHW7a1n`0k3(%WoU4xk`+p^FxGF%)k;e6#7;Kbpk8R$<@s%E=t zWk^}gha#9aVNx;sAk;+J0>?gqmGHmoH|k7}b|Hz{g~jOCpXudBw1L=(Xu{AS8e+q7 z?|ihipkDw{F*8o;1Q;Z$KOpS5bR;FjO0F2yuN6L+?l@+4K9Fa|YiBy73Bw9K_2fNE z1>_LRVwDXIJka+07`j!*=~C0{+p@6eW*}r2GnONQ5KW%Mm=biZok{-4MM4Dz_|==K zvcZB+iC?k4(Zt0_7$p`~lOSuTD|9{1I-218_aE6n)Kg<iuv-0BLg6zqe((zMfS=4I%Aroz3KkQcV&C@bw+E}HLf7Z~A-~RH4K+|6_#thr zd;4XXk9+Yt(-9YW1)A94gXp*a>Qy1d-!^fB3c2ZZeJIB0L?j>#TxWUi)UgBRW#mro zj4*eTK-lF4gs&#(;E4Czy5U|JwHg}4ON@{)(*X@cj+vI~ z!I#o)9}KFm{DvH)f|E3dDw{3m$SIp%>*HVNTItUi;G+~;p{M@{EE9n(;YetMvO7wj z(OA>Xw6WAY71}y62QT3r?ueULhO|l__<=M|!Acs5MBV%DiY{w+#3VW*{5-{kshNo4 zYP2&EFS($!$b>D?5_bpxL$JjoWDC%Lb(EC&i<3F_l5&mzdsSU3ceKgBAliXrfaeJO zQIhMxOrr|{ai6wR7GHPoJ`LC5)YTTT6pvH&DcSQ^8VSSN5&7B+zXYXW+>DAU6aI;| zE5`lVCbj=vGDzUu^0+QW+QSASkWd9@iSTF^ww<55nRB`?J+W-ns8AKdkFQJ1PbVZPv7soqJ8-7l`f}}c0YQu=dl*-+cfR|Ym0IZ6Om zSuXa8a*_?w!}Q%aVHrex@@i+>1%hH>pVU(>y?i4=YnLwRpE<NW<6v9tnZ*7;U)&zibnwS$AiSv0oYYVuC}MEWn)^(uP{d) z@i7Nufnq3XAaA>{wu`a!nICMovjh-E{$Jx*7MrMyYbS*00_-{=)wAOq&*}lbjG-Wsz^F*p zXq4O2fiWHb%#@S}O-)IsI@l08UReCy!^9p=)Pi4mE^08PFd%s2BM0*Xj(`hKdc?%y z7m10Y8*pUI$1D9__+Cm}XXa*c0?alGIDbyMq8ApPS{ZdtP+1k)b35kz7}&FBHfB>_hYf;56d0_IRK*mM zNJ5NCU`E~)gzDY$>pP>m|2a1+2LQP@G=SMVRtiC&liegqd6|e0oj)`&Mk)biTk)`4uhpfG0Tc7;Q$}JxnbwG zPtI};jaQ|L@0IZ_(3QXOHi7lLbl1=8I_g0NYB7k#$vOQ50T?MjB8k81(vhbQ)iwqz z#1Vp-A(A<05lw}Z#lBI=dT$a<=4+~8%t!UtU;M$X^{V#q0-G?rddCIO39Pocr6tU9 z*#w=NegY{Ul|+*vZ7vRXz3{)z29V@`MrYz0PnfA~NjW%t)KhC(%a77p)4M}sxq7iL z&|fKH64ze|k)FE;I=CtmTP(mB+d2}xrJUdQY@UJvue{B>DN=+maCt|w>@+V)AX&vIzR-ss~Fw;x5hk%xkUq0E&je^bHi%=!~BOH?FlWhlP(b^8uz_0tDG+q_RT7jm0h&Lb$n_n6Bl!u7?y~4*8Q9jT200#D)3K0#RM+Dr))X3M9rZxxWfzdEX{HT^ z_xqfF&QOR8*}hWjsUXBdWZoqfl;R|pV*;y`Gc5Bccu7|}Bb47oG|7ddUg8HNs+-D& zJWauC!Pk}=Zwy3f84;OyU7(5*f8b(fp?|1Zow<&A&z#E}y)Ua9d7aRS|CY3wfNum% zQMCS!_yuUIvu*!NFGZ{@0ge^4;<59^8QRajXeSxc3G6NhpAvvq&G;!H$_^z0CL@H- zV_)p>j>zkST5SEIr}m;ie>{`d*R=E9mj8zJ% z@+jz}(~K&^NF?79t^@>9$7-%A&?_M@A^Tk84S}{|Vbkjls=B$%TQQD&SsPQ z-nF)?M^^E=sT;Jy0cQ=kD)OO$`p@mtdj zrT>t7u+C5IuR*>_$8~?neYLmYuty(E6l$RnFtf}W5NHe)`v_|=MqZF#rz8VA9(Owb zsfUUVJ;krg`#&e!{DNWj@oKDjzbXJbH^?xH_yq~V5|Dlj1A_E^xc5Vb z^DAA7E?HIt<}E=KbNrlc{N#U2*7~p>(W}KB=qtdf77u}PxSL2B2K~(2Juit`R>pEg zBE}WB3qe5LH=Pzk@U1$2b)G5bvjwHvJi{ZiVa7QWFRuEZRmat+&JnlG`OWWQ4mQl$ z%cS&57CH7@#>hv%^4Nk>7y$G`7XBysaiU5;uHX|``TS86E)bt^yym}0lk@p}d&KAU z-|u_OnE3$lIaEhACjTbs6>$~&mZH_1DNK8`t;!aLZzxW;3PXda$a&y@B_ z-io$xK1&6prnvY$0}xn3wU5pxmQ-gWK^#nn%hS~kc+?j(QQtQb_b>4}<*2sJ)MLGl zFf9pb2lZnNl|L&ut{UhH;%43Q)Z#kWAwqnqkXDV7R(UBO;*KE~%oUxIObq3Oi4b_~ z!{uE}tWVSJ6ehINQ^QDXEBgs48Uef(dsw33$rfE5k5vZM+S+YX#g7_S%3FL|&^fgs>fYV> zl)BZe>aCCQ!K&)AKu>~JJMKKj<+*v=+xqSb_w}?j!AvSbZ zc4qIDhC`P5aa%Er@az))Qpjw?)Zhx*(n%Yn1;DZ?eQB2@nFqi(mt?pC^kCrH=LI>P zSbDX9fy5|wXc@-2B-XEN`LOznLh~lBdd8hUH9-421JeL1#>A|u>$|VyzHgzGxvpsX z@6t;P%=h}5qFJr$IuS5c6M-)}177YAtnB~K0#I7hg!y2Cyo4fSaaNTj1~W<-ov=(iKFC_dKMY`T5v;O%1 zB3AZoZ`MG0-FQ+uO1! zReX!R;(P{~mM(SK@-wb}wf1ddLF~<0x?Nj8r-+Mvt+zh`t{T6LZ1@&9KRTtv?pazP zs{8@cjVjP8OFfc72J`CRYh`9#0?-)^(9Zca?IkvpPSDtO!)1tEz2-8HU%nmPaBt25 zmCqwqhT2=Y-{&`k>i&YY9o>2jnz8>gN$d^<>hXql$dqI+K`D*3#OP}E%mhB3^Y*O& za6S=2RrOwy?djG2`Il&yD0!TepD@F+4E%5F&(lREOBL4oVT|teWC_g?()S@s2x1aV z8(QY(6Sg>1;7RRLV+4P)_M#Z%N6!puvGe~@tHNJ}U<3_f74OSZS21RGM6L%+eX*tz z9Qiyr@OJQFKW!h13;(dNLl0Mk$QHuwTVpTgr&&yzIzy7NM|x$SYM}jch`0f+>}uFl|wh574ofzT0-j zsxw6%Ck*}|N@4$A1~v(WyfUT01{NOLg^jSXH;E8YVaJh8y&aHOZdB27$SSnrHp1M@ z-?>iSIQS>k#5vo&F+F%w%^yJ^K^U4)(o)3RspC#L@?;geLql^rIWZJt3}*Q!m4h0y zWgtUKY_5C(3FCAUl&IfPRSR#QzK|T7#gH}p1qW=&eL`@-9MPnmolhy3knqv(h!J?~ zb!g8W)Ja$rZU}IP{&OLE=j*VOXTi3F_q`2EsO8PKA=8=nP6#hW;X9YKP_Bko$_l@E ze|ffj(#(~lmPH3K%}~C9)u>|z>g^q~mAI2aGM%`(JvU8hVSoQ@oWMapMI)RvTNfAW z^q0(RX|w7ltZQEig0oL_W}sLW!@cZ@&O11wZu;7rxc$E)R&PdS3dR%tRcj1Tc|L#6 zO74ww94Cy%>GR684K&VLM%`l+4ihP7lDknq9tc53DQ#!Q3as>9#ztZUrZC_TMtpqV#B7cE2=OGEEj*`E z)8-Enx_m?&F8&bUCv8q44f!h)UWLuY(o57$iK;Fdb{(OB?Ba>U!m-DXCUmBv~36_A?URjs~_^MWxiAYdf-C?@H5y z^Dk#3m{&%*OBCW(D`K?8Oi{QAKfDEFD9&jKe5$BThZ4GjxWIr0XvlUVb1wzx1^A2s zzV2}9pFF?Fb^>_mcO!rbcl}%bjl$A=Y1iz4l}a*m;}qkZmM5C>x5ZsHn+u2MT7p*P zx9pA+{M;({oQn>(>2`IZ=C=LGFz9_sYbtl;JgQYd4~eBr`vsL0O|<3k_CU|KwujCG zf|C6vKl1VkfrIA}z|nX%_V)5+!if=u-?%K_Mp^IwRK^!R2O=TcL_V$AUyi5=wSWiz zpwnz7BTTf7t$6K(7^2F8V?@z2(7tzI>!S+BbS+>%Djx~;#0S+zY^RNU3eIdImYx6R`+%GU zN|B+7HV3uInFZOhc}f--43RfuW0zbh%?o`&32&h@?X@c>sF5)2l2MY|A@t7Q_JEgY znhc?}OLtFqk@>?1w_P!tewpg~$oi-=uIT7>vjA7&LIhbMDZ(?#7q@|iv`-tRvtKt5 zJto}33)AZpEnY3DV$_ncFq&b-2l`2u^Fyq8c-~=6)(Fi!S=cr%XUx+Bc!!v^R;Xgl zbK9bWBEFJ`{^=Opl1u&tKV_y@1nbSoI-9}k7bQZkhLMB=1Qpj$u!i2rYw;P;Bx+l7@MDul$hSf3s!~KwO_!63> zxO4V1;Td-;^M%3a_eu01#d}juBS^z#p+`5)zXOd92~AhNsxl@7tSHI+vsew}a4Fcv zRCL~1%x-gJ=V44DT>@*u$$>%9#rvF}rd@LS6>MAAR}$$V;fV-3hmz3Ixr|-%MGf^y z9TJAT>(_oN%8{6Z4N+w%-Woj)!$Zn20dhqMzJChCM2lwPslG&r78sUdgff4;LCcpn z|03O}o6nt_gi5*mjk`lS$QN%;hAa@4Aei!_XNX7uWaJfB`4H65lOT4`*X!-na4dDK&y zXH;<#YWP)Y{?Pg5iz*Z4i4Wny+#D$zRL@a9i6a|vb52{dNb6Eh-Xa*W4c2ZbnVQr)St|hEQ4H*QWHs|AO)@ePIeza8f;WNDU0#IVqt%RgbS{d zD9~WGFmJQ3sWK}M;Cw6R)vc^ohv|;_$nvN6~caw zxN+P40U5kqXY<0_%t3h`>pKtHp3mF?t0$ zEmYJN3*QXRK1>5LN&{Nv^eRyOoU~*>@&S0;(Nt*r!EaeQ%5Z2xm!bu?@cApRUuxgS z`X)k=wg+E+s|@6BjO*A!biQiccDZ=dq!3*kTkh$Ut*=+&v5+%3Panj^%ls0tdAY24#uvNozLJx#3f93+#5hgebD-(dXmen zc0^G!Pm6{1;cJ+q;a74{t)14y?Wvu!y}$&I_ek`XVJ?bN{yj<7>9{@pQLNP|7otgQ z64;k_$fms2xqv1~*CQKbC6vGM@T&T%Zm$~}9&n6D81pM9=Vg@IVOlsoh6q5E^QY}B ztUDcG8cRha=rvqX$p?Z=i$8xPRre(j(j4Sn1(Pn;*laL_XU$|e% zHlF`nR4+;5Chud1P)kh4BLZQ}`LJhBe4=;JG6#Eu6F`$x_qkVfi{yyC+SLsku@g`e zF0`$&OSAPPrDpX-qUg@+z}T|7U!3d~J_6;Mk&7)2nFEen6-%M>_pgff`VpD+#;1!i zyQL3iDVAn(sdA{BeVqHavvk}bGa6JGlLc9@0s{jnkCb2qL4FKu?Hjn9qu$H$6}V8M z)3%>$JpYWM0$gOFTvDfy2L^Pl1^a`6hGj0fNBS-3L;Ed-ffM|~U%`UxA|!3v8+O}* z0!Qf8VkxRbDX5Cdyc0kpT2{OwxYh~9e!dP!Q4VnjK;_1t5+|ApX{u| zN!3i=ul?VqE{H$S*25aV*PavFRCC_g@CCoN~Y2&^zNtca*rccg{Ks zdRGJnJWKf8Gu@4$WC8IBE6V&>o}1ZKpbCdgzWT_~#V3T{nwLwmjLj7H?;VFzO_ZYW zqWG)ER|ROu!3Q9(Pcp54B`x8|+Q4=V1m)dYP^_3Q+Mo+P;$^x%W}kC1g9p8J!9{Bg z{X@NM)1mb--0G@ZIHB;LSwcrS0)*D&IE}vNp>+dw|JHXK9ysVTkZky?)Xf|QbiZ>Y z69}l^YdK(}UP8%K!zZ%2PDrd@vwQQ=$L;pXb+tdGamMY6nMm^rS;L)F+lKz1lqb8} zBLRTdWPhCfF2Akmf2+AWwu!3#{P*KAk7OxA&i6iRO%2D|L_$R#2cX!Lutz2a1-S>f z1bKKlmEi0(>TkK>Gip0PMSE9f2P8FM<;qA(YwohmFwi3!RVs(x7pfAp;_mlAt&+nP zYxTIr6Gzu@Yjm~_SR3Vij=#RmyfEF{^~xo{ETWun0Gw~ac<{$9ox^iv2zQJLe(`=m zN5=|brx(MqLJl{a3rlidLY}lr%ZmR)N0F8TnATHwVS9H*Db=cYn!E1p?B~}UCHNm4uQy##F zrhzZH%DsP@@!=shM{-b^{z5?NO#_my{RUu4pux^hXb3st7MsQ>(Fg?QR|Jh)JZ^*R|g10|n3}Nic)7ZI;Vfh-43iL$d#-(DGh3 zfPlU%DQmIAhE`NIP>=p&$v$KSJY(kWzMZ&U$X3(;YWzBoMn=vvx4giB!TVV|YyZ)v zPO-T~)aQpY!hOys1iQ?T=hjSjBBHQfvfmCcl`^U2acsLta#wkL(XA{9BK5RQI zYg=3-W}W>E7i1Ce3%-2&LRPuC^Uzx&xNe4l?w*b7xCCv@Q(&?JR1bv6-zvt4y%T{94GQ1?$yo^ElDl)l#hUp!0^qz>c)2NL7yq^xDzY<(EriPYVdHG3|x% z53W%b`|C{!<;^$KR zEt>xlk$u3U&-F0JCp*$71FPuZ^YFLG#NdjP?wt$d&oH`D(^JA@xX;wx2`t8=pXL2p z{Qer2`bv?=)d^${&d);YQ6Qw}1Zn0KKj?pi8$QmR;lBbY5B{q2TEDP~!AcysG-u|s zB)&Zn9j`p`n6hK7dwKJ_iz{i2r($36I5*XK!ExNBkbs{rS2C&kkma zK1TU7h_ETa>v6IP>}TOaBE!IWfx74qo!(uy9S0!LiKQNsX9QUhi#YH~u@WbT78M_* z08LX~F$=<%tCBA(EEl^kH-QMh`A(L?J^Q)^I%g;~Cve_=Z}(zW;Kc1KZ~g7ixsDu; z?oy&^4CCkXJwSpw0GARj7J4;8LFmZZ=_MC~k+bR>u_$Yh-lyG!L+2PA$+aCd)vd1o z0}es)zPpG3roul&+R~@EcL13C&gFScUs^6rpp)j&gIUDZ#af-{t#-dQ?a)%KcNW9v$THE$wTRwrCiOX}Z=k^lh>W zI?$vzXXx>73bgLovzb%PCJcG`DH4r&l4+xv{|ee12drxxNkb_2*ON*{+nI6`f0Tg# zP)rj#Ocv#wSXv^W=6*&H3dBXQjeQJ~c@)TqLIKUZe?~$YVQ94AFpq`Nkdo`$C?Mhd zg$xiKI}*Yz?C5*mmHobx{{F^q{6;u`{`|HMsj`Y(wXG*88hhk9piKAzY13TG&(?;+ zAKsh|!x&s=*q*Q^PA@Kman_{Ue9jH3irf7#n;=t-v=p_tTxAYz{;n9>6Gh|x`s4Uv zlxVndWc&q;wc|Jp&GLPoHS!te@HFWH5CWR1Tlj!WIk=Ta53X1j6WZzKQFuL_L@+TP z&u^}yiETL1ML06Hy175_B~FkW+XdWA06=x(N#Icg|JHkkl#Ku?Uu2VSRb(`R2``$jZM8`c)wg-%%IUJ@L97Lf3u_ftUy2MP`p99Y4DDDtk@ zwk=;x72`{Kje_KndEdfBLGsEjFu`C>7TUWh0c zF`8nlJfxk}$Q+Ef9e_$-2?pJS6o1KEUka(U3H6>_O_|!vIT=S(wtV-6!naJBbQ}l- z$tVhvLWzpoV?yKP1kJv{NXQR{?TLL<-((QDs3YBM5yds&%X*NM5oQ zHS^lk5zL~{RCrrB`{LHGe%~sQvQ)4KfRISI5~)aIO43!L;;dbF83jPO-@Y0-C^)ze zL4P&M>kgvQ-jzyowf!H~wuRam#?*-Q`UK%BWl{v?MvPTDH8y%Y+@5%-TD*N(8TFqy993zL|UYUw|3s{jy0!9QlSRrC>v!utJ*UMKcP&<-zpeaCT zw_62ZyG{yI1Zu$OL8!xh)FI7jN3u%-R-bieQ|vDWbuNZQqB zPw|+6kJfnH%G~DG=*!99=P&bn4;aLcD3qD1joOR0^L)ogUJGWR`LQ4SvGDER{_We= zX3@~&%Ynnl+vjj>nPMF@!r~?l7Ih*ftTWt34&MVXcN00MiL9i2naP+uV~ClVq?wI9 z|1HY?z5Q5qm#D>;G6!5|UEI$aX)4q4+I*-W_YdQQ+Gc_pbIn6Wh!KOz36f4TdN#!9 zK_cB&>VE2<_QdV3^L7mIV95c=HX~TaHkQ?FACK9H7?JXg$I~PpjZCZn6e69-(P2o# zu|KRquHmFljg+rX{ksZyN~S7Bwp@+6@V1Cd} z6JOXdbX?ELc_xz2rn+?R9(LQ(Z+zClAqaGv$;0edYuFNETg9IT&Vguuqt>bORwU;z zULCG$%sR!qXw-Duzy+?QS;Q;{u^t^|zBydf|l^g0JuUzVAbJ?S#*M_OlT% z{GH$Vo$%3*ev~Ya8+$+WpZW~NtpDSG{EzYF_7f*ggjZh40K@P8?(gp3wfOu5bHIhU zbNWJ*%ps()Jz^RvX$ob&qG7!!oT;FpJau*bhV+(<5rIY? zDx__NP*zi-R|1}p8e2Q(&t=My?V|*xPd~#sH~Dy?;F#X7L$P?wSst0qjka@o*mgT|!VYb;1e8Qb7pX4l>7_6>dSdyHt9+ZKZ!-vnCAwz5_pIh1H5T)zkX4S!0YX8r zydL2yyFJuRi-3F9V{DLO6!avDIN)EZ4Z$1%_lIhgdG-Syh`w=+4{R`zYw)Y9)Az{O4rM*!2#0-%;iHCq}0uv}_r3m;mHA-{iyiPmh@-Xvx3JK%D<~BOgG^!2K zWVZ0+oH%=$?+3yVzmEg>RW7k+Fm~%U^w$Sn*>qF@F*&it|A&)kJwu48hE300&?Y&MKYv`~ZjXnX zJaWhEW*xpZeq7e(6F3{yj@w%VA~=ZOjww3@+}v*nn;E5yA8B$~8o?%R8q@~;b{vwT zXbygwoL~eX)JVb_OKsd|hdnx<_{1l&f%pD8kADC6e}DME2R;yM)W7`l%lJPK4hp^R zeeVlK95$Hu=2)vf^{G#VAN;`|440MhAxl;~`|Pt}*REahd-12>fXkLD-8Ax>Q5QAV z{AueBW1t;F-^$mo+yLL3R+bp&_NXKJzO?o34{d&Ivf~YmxYIPU&?tvpI-X8+LxXKb z`bEP&pkb^tC>W=n=A7}UM1O}U#6zsk+a?i=ocG|pb!+rAg;_fcq+4BFh z_a-rNrCHtgb8lqi?DRal=CR>zn&JJRo2d(d5YvJMuwelk7Qha~B(XstB!q-oV%0(d zq?cw8DS>xZ(`{rlGeDt}UfOyQ!mAW3@1%_Jkw5)Rxt3KY_q;m{G&1+4XZ%gZ%uV(X z)7C67|0_>;0l^X0fC*mHfRRQDI*h(@D>(~$Zaw@uY=L15JVq@5XZK(!XR-RWZ~L}* z{pzp&D#lyON#RhiP!Gd@|M!1~$6ZIDa`?O667BXfCPT>i0>vn`HK@+ik zuR`))MACE^isBj|A7GarhOO6MOSR`;*cgCh?i7Sb2?kMNi`*AgenqWOHzX`SBb*Cm zcuk_5952Siz4v?Q3YGQ$n>PO+6h<;jfM2#(>|5!rBW4uZ9^|tBFMzYKeXxa~qX$KYuIQ z4P^Dp46}vsvaAzMRj2F&#y^aIb=0vOa2(C>yB)e~?tY7=_Zyn}`m ztpO_Lgubnf^6U?YDq+Ff)%AP?m~4~NGu2Pfe;0VxbNAGwP20|$dm_!8e-n`KC?Pkm zqzQ}>-8e*IjoTn9fo3Ob7(DgfS&4s&g07XKZHBYa>P?D(}!015b+GduhJGpzt zo~40|-uN|?YHbwqnFcL`P{rG+xO-6TG)TSn`#H?Ln0~gKug8o8(0u7>rw8HmX;$IV z#wql`dJYCS$W$cqc!ccKL+@cB^C)KEUxrR)vkzKixv4w}^@KDmso_W~5b5B}f}rl0)DpG=?s z{O7|6^=E(fXVaIy^d%fD2HX2rZ#4Yy$hCmp7B`Xa%q^@!_WvPN+k1GC-5eu50rKDk z;LuU_&`V?Gg5fUT&02=7D93t5!;&*xovzVt9+R#CSRF^{KgBp55%5CBs*!8{CgI>t zpb*x`Bb%QM`3`oIi4TAkaz!5=gMCt&%-`iR0t}@5Fh&9t2-4%v@S>jM9xEuf85v#1 z^WnYQf`llV18}q~z_W70S*H*Hx=?NlQVP!XlDs|bo_7p~G(_#CLgQSXy8x&aKrHJ3 zAI0|!4^R1vFuuabwY>mqha}kHp?z%K5m*3o6mZ!F$^0{rCcTET56~^<`v>=!{1!5XQrybYfU4?9OK5lNLdpGY_3y+`0CfFZ`23O3?`R{-xbEcaGgy}F20Ag7EFsm0>A5J7lIaXxee10G2Y$4*?5)PGMO+LGnpLD z6-W$)tO`3ed_7__fVpJ2Qk2fy0@t`#hUbc*;R4va1XzcF5+LDo&zHhlcfV1mct)8{ zm<)4Yg&<{JV6t)*CkkyUixm{rEczV2WJ+M%e1?Q_xdq4>7HQLyWco86|T&uHcnvW0?sScu-Peys+9(`g%4=yEmB~2z)|}6q(~`m$ z?QCdKo7y=2Q7JFQ+etvMjW-|@6$Q^tgt=0oY5~*);v$dujOyVRu;* z%-OdD0QInvxpgKG*4lLG;_;KIfbW<)bN1fHVI7|5SOX8dCUf^1d%{cufENqUg0&^n z5Jd05Kx)cMBSaR)7-99UfXlV_om|JY9CqK~V<^i|z-6p~Dg{Ehcb_X^i0*Hfa@!=v{>z0y27ua-I|yzI=;$5OgV3q)u# zpPvAt;Wq`_Mz*Oh3FCeBag<{d7kn153*8oD*3rAV4bvTNLGfY==nW`nS(D}J>Z;X> zZt}rUsBBdwNZ7ev{e6{_(C5NozpT?HWj#zk>j^loky;o1*pK~K*SD0q0YcAz_0?A+ z#YA<|2@Ko*_>ccMedHq_fyHg4^XJc}U;p)APk;D_e^{L|e18mEKx41h@ZQky%hxyI zVLvY~fWg=0V<*zhIr7fIpC3aWxrNV#Dn2`2VXfFG8R z!DcRB08hDw^ay6I3MAx2g=x>R1_0D)q*lE14%O4>6&Zb&+=O!R$j63M90>eeb2ARu zR?5YKtBivTV_ZX)Mt(5Qrwv-9BQeT^kt6oY{u=VSU@7u?lIL?{iu$6HpzXp~nLe*{ z6|@@9YG?Aij2m?VZ9ydapu;nShZ(?VhTJb0+s)IKg%AJks0AFmMs-q0qpr!9DFB%J z_FsV9fJOn@a&9623}6`GU)-2JZU_=GPi0DAK;%K9TkS{IEWyGsa(4_|!@wN*M&p5e zf;ob$(!TgE#^!*87<@)LogF>U1{YKJ2$d?}kNzb*qPtIbyt) zYU&%Tf6B0_9Rr}%-yebx_IH4Tcy;P2YPt#2GOUR-=BDBE`a62VHgc4P{sp>8b$`YA zH&gcFOH5%;9MZ4_hAl8`fd}6LdkzrxKJpBVo4F&Z{1JwWF`Ve{{oe0wId@@i*~9OT zehUGO#4>gQWr900H6B+1>PB7( zLWYFFV=b5=86t%}d2%fh$sxFg85pqHLui5dGt5bW6;gnNZ@!UgFbZK|WjWltc>8Vc zje=N)(-18(oGOTUmeo40cTdU>50HemiR;39&`_+jTZSS$Bg9~aawS9IlB+F_;CKYXjTk_P!X9P2W!8?o{ zfh_Zw9YHWNq{Ar$<*nvP6bKvbw7;Pw1_c(QGWYS1-h+k}ZIV;3jYf8K`~-47KyxQA z-=LubCkS~d$XJmep@8ccx!?McAgPKQJqK05^c$K5*PAo44meonyds+*Hh;kwU=D9U z_LuqQ^!h|qlEzW4aEE)Y$PG0L=vNfXd7d=`EL_ivu+2HG@EoiI4(gRV1~~W(b>6rh z_uOz7zNjFh$>K?Tu10$#P2s6ov~H$maT?k6{d8&RAYQHahKO7N2wPy?oFtTFY8{Sz zgaohwFx(ix-GwUedJ#GODma)ihYXi0I5_*{Q&{ZwUl&$Tntb@|vuTWHUuG|8u)f4v zd-Yn%*h508LXJOMHIz%{!eP!wviV)FeOH0idJR~qu$`$eWA70djJ-nux7x?LF1s%u zZ96URRq|d z^eSF%Px8ASe^-ru7a8_7Qrws?(EcJNK>>)^4nUv& z(j!z^LL+pKbqG`RIA6DBjSqr?Ibq&9*UAITdCE{fM875hC;0P%oSONCcL2Okr4h#S zKt_C>5;uAa<9f#?_ldQMlLf0a6b!(cd0T}}c5UfPJWu2Y#Sk-$*?regNd24_X!IbE zkIWe$cHctw(Lr@`=M&GS2&PaQS2x!?;Pw%4#99Cu6 z0>c(~oLZp2hHQ^pz+4lb``qV3&@=St*T4StJ+9I4_76h~2$r=8uMo_>;GmXBgmo#d zT`QSvnKc!fY{)q|DDJU*l(FIWV9*qpdLB4p`lFBya7{+$;Ak*lNx=eeDpS}|QOf-@ zlpCSE?I~lRuQKicb8SGv7M_GPJbA*J$dCgFihhpd$0Rlupv++QgRxf_+bStgD0uP8 z4S8XR)AuiiMHB1^R&C^vcm_~IW@R6fK;S0`8}u&y_a;`TemBp^6|DB&z)E)tVR|>? zua6ie62M1lp;c^T<7p0Ha1Nmxu`W%+*dC%k%r$s`dp|*+s+`y=dCiDSG$cS6K=oD& zxew=?H?TlJS!v#;eiP9a%YcUF7nG{D8RXWJ<4+=4lxGSs3Ooi#h=-wJN4u$|Pz2c~ zqn&o?{@u?@jZ&B%A;hTl7)MLHNWZKUfUWCX<8=#KWAe{-HneE}IQ=m4+HY$o)SSMB-V96@!0wNlY~!My+l-Ru)j zrj|;ejfge=%BeHyEJgTH8^cwVC4?=Se4jNX}aHQrbY&xZAR)?atD&bgz zZmt3b*E~n(-d?kYSPtwK?PPNFW7gfe+GTn?8YWcGa5K`A(E6;%s!~<}qgn{o&p>+x3{52UqLUx;MjP zHID5qWVgO6*V7+{_X|MoIw?dLAH^H5r~KLH!uWQ#ZnbGS)`2k+o@esj@O-vO6{*6# z#E`Cfgz3TAw$FKW^IdDkF5^Ey8`?K`N!nhWg%m)cdJ_7y#d@heAoLe~`fSs>Kkg?m zH`Jf#IjCoB=$&Zm@D|jIjJ6f@j?lTROR>qTH(COywQrc#$`K{#PM{vlB(jX#C{`~W)_K|P6XS}RecJJ{RLqwBN{&B7v<}?h| z1=!V{X>1K$ywiGeh2T*=#;sk-m!)`#vPyP(O3h6IA8slV>65ql(lG! z9C>uFWSz2N8~=^yWIl`Y$Z(>_n_HnU?#D2{jj^SMr|wm4%7`_2D+LYD9k#%*1%@rK z3oX!xd)$Rmw^)QBVZQK%FRTKB|MqYH#$Lz9F{EJ&4A=s}U}&`^^NT__*P{+^k+vR% zS}1F+h2RqT5@47@lSA2t4JEE^$w14r_&s92^I1tRv^&IymkD=FB1Eo+L6C7n2+EcS zIcS(qm?y)GCcSP>oel4WoJsAkeXZ0D!uXkYFoQYEWgZZ4 zcY_r4GORcwxiZ#I1q@&=$NCoDga}Dhd+o-(?nfC~Q0fJB3WfPwFvEsSJciJB9ftfm zmZ=wE$h9ICu+y{8mx_YzkRZ`QQA@M*!Ocbb9hU`x7roRDF;2Yq1fQ*o-?vMar>a74 zHoe>WhUwXE;oH1U&}o?*c1=Jqy$9=KB@=A8P(x@sNb?SOI>;^Tx2egeQodAfML8aJ z%ga~6LoT8hIC&4)xWafu)WAAB2Yl_{cgu}C)J?4~UV~_iSBNROlC|+7Y|<|X(|szX z_h6H`zk<@mDKD_Q9_9IDYGtf3;YCRQkYkV-RpsdjJ}p9bw#idyuE882E@!NiVMVt; z4%Vy7R*pA$M)gX1(^|LbY%(ntvuVC@5X0^3>GD!NJvY79a(sahHLJ=f=F1ps!zAmg zx%=ANoIhKs_fF0oVXYizP1dq{fv}>2f^&pVZVq52?Ywg=G*F%_pFYL-Lj}bz653;^QD5ssaODKj=7$}5$FUD0U4g>|QJ7Yi7df!}wn^^nrr2RI% zmbESR4EELtX{0s!WrNetLD%@`s+edZX#i}e^Vfmromemo7i8K5qLw^b!+Q%#CI_qpb zm6u(4#@fHKciMIcCOSTRxqOGdyb?DU6NUqeOy(C*jpEVGvi* zKmOxCrl0@$pRd01+*$heZ~yl6_kaKQaqM6J^&qLBUya^KbQNgVxH_zBDR;>xW63oihUbhe0XwN;CY z=UKGgMpiVc$qmM+Vak`tad?trGbn#=5bdRg61;`HI>EZopl&TvLe#m|R08!_=UI3v zLQXVUA?C^z@W1YV=OA$Ztgp^=a9`ffuz7b-zWc@*ksIM2v?2G}G|v1#-h z>KkhyvZ4UM8t_g9ImV{ux(n|?BTiVa9x4F^>LDlqU)H95RzWNl;veYSb zwaMC+?NdqlG{*(JuHAueU3QKv8R`;U?c0B`Z}z9!eBseYjskIdN@yWBXuE*?H7vnuw9t5?k|h1 z9Sy-?mSS;HbvTpgbJP=UL?O>H58W?JThzYtValF)W}{1nzYSYp*aE{AxGycRXQJj; zzVek-K+weU{ld&_<%y3TJ(|Avd%t%pmkiH+R9XO`q>woiJj41XEbIgaVJ-^6K`b>5 zyAU8)7o#6Sis1|dUt~&TK-j+{S-c8NcXkCTkF(i_Qd6rYnL2<(6|^D1z^KT8hX*4{ z(f|pmN5UE?3bcHf1{I>dM;H(_Pcr(xDhA%q6(KNc$tT#TC!xYzu0DAxK$E%t#(8$s?!my-=ynxS0!M~uRN&XMY>7Tt zMxb3-E*K8vmn-Tpe#_|y<;(mDDoi27pMpu&i*cu9Sqj(I&3uN8o^DZpr^RpU`UYNe zZCouHc@^2Epb!p{8j36&DH4fwPb|_A_ z?d$Xv-P0G`ZQ-)fKs&qA!YY|@FhjgH^HENY}9HJfCXqsD13;4~Z;{|juR=WxCmCzKWT?@wO4qWH`7*)UFp03c#Gczy5wzckejH<6 zA4LJ!WF1{1Y;wVzyrbu!p{xcV$3ry=TnjR-S9wLQ2o*WZO~YZSYzxmq&QUQCWE;}P zl?8C*+OQ1Q*lKK1$JI5McGuuT;a#O(n{`GCuROwjMd&ZB{i%>1>tY=>LQf-ra-^6`ls5)hNRqKL@ZR0cdk1^84j#)SB?|TD1mnQ}Q%{kV` zV}hE3h1HVKU4M_6b1*Oqzkm75UrvAbcYn9~-4A*Y4(ai1fhzz#8b;|sXo!F5 zJ;u$K$@{m+K6`Bm&qBbc*Vs?L9eM65-Y%yA@b2*W4t#^#g!5gBdCq(1YaFZo^d9rO zvV$^%e3uh^7Cz}kjEUxv6`w**okC8$4IqeAS*AchUZ}xac~_vD;PWR~=f{*IT^h1pPWsAdgXz%Kd2;KIFXs88+jMXuI%M z5~z}o?ln&3StH~i&mkz18_IGWPqemmS006ef1*ty#G-OFe0%B1$UPn;*>=j^juqO? zXh1oJy6v~lr<@2r!F%0@`UnOJ+C)f7^c4kBD(pK$w8~Ej*4@LP>_#0d+ZP7T;Z-Q$ zgQ1sUa94ps>XIEN)d)G!?ipjdasNlCjPUq;{~}`s?>&qN9mkOuT$zEnA9^7T$dxlS zCdhG%{L(nr=eGGwjL z7=0BObc_Ie#u|X3b#6)Z$(T{#K zHsh_9Gd%y{ZvhjU3*ZGfhyqezO|L<73Iub(#+@subXgmR6_g5Ig%lX5ko*i0C)3>7 zjPGG~WL5+b^+JRZG;~6ODacTg$L5XVT}EE-#rC_@hu<@pn(Qc{CAu|0Xq~j$yeo3v zZT}GZ2=x+SKd4KDS%5)re(kFPK(-JXvO`#&KKJ~_Oc4xfSh87Pt_j8S-P?3NA;v2G z@(SS6&(_OlS0E)^gketG4MH`-pcE*k!)j|yIs5Z~K;cU$ub&4f{E)Hn0SucVJI|!? z)Zlpx2Re^(K+tKPzP+I^y#Wat3Divi1Rf!5?6E;&Tf&` zW|Iiwi@a_%$dQL;aT4KsFKK0k5Q}J53jngwI%6AZk&92t2{&r^)$P(aVMRyK)Xp!w zlP2=B4BczU={GQ1oF|&%QTi=|v1WeLE?Q>y(y}fZP!n`u1mMy>(_>U{RS;M&Ov96g zb#~|CN|7Tt=ps-bpnY=y!WJN;pkTW-7s{Y^p%xgBxsJD4C$wm7^knBQd-LWh<70*Q zDer=RqiCA-ZfzF`R{(_L3898D%xq68)XdS-j~20nEx2wHfpH#zOwYVYERR=MSC_jy zvin{8Adl7P>rnvA8gqUHCDk%QWOxpebFjr69h5W*VE6=;kaYPu@()@jYh%v-(L$LM zo_s0;bVYLQr4E_vC*iY-g%a5DYDd_*i@Am%<{DIRc5U8IQLJ#<~_)W6MqRM6ik2?(xW1JvXdfDVmpzB)l5!5KlI00%d@k$oMZA!%N7 zzUi5kJEb9}bE>NcQBSv5%Wo%qQ;d=QHU`RO+V#H+AJTse5gdC0z_TADLy8KpnWxV_ zAIC{$J@OpS^*sC3@uH=TeH|dML)EQ>apQQ2vE#ULX!e`1)v?anz*%>RavUE5j#c^o zXjzt9jm!8A-JQo9)F(otmiWcpviM{5}B*!dE4s7`$L*=MVd z!}rIm1xzzA3vVwO_W%F8euE81XDt8#KmbWZK~yLri{Vvx8D8hQdo=*v3gF#MKtj)1 z0ib${kl|mi9ZC&k2&XyQ+bV5l(^4%Do@d01xSn-kp0Zz?o&hABP4A+(e}-{-6d9GD zf`44#_ZI8AMvC&P^0&YY@UeLqc4^EQq?eInyv<^`$U-KtCJ?~&L2hJx&jj;Sobx*62EhQC7X>%>%ZxtJk7P;( zF|CV+MV^CvW=_H|dWC-oBV74|>bd%rv)jjPJMYJ%B=|WufEN62?d-W!oPRUbUjE3& za`#s2LpumUwgDCFqt%d<@O#;*lO?~m)iSqnezdvwgs+VpkO1f{!9haE8%3zaTAV-q zbO}^$qx|kml((FNHvnM$tUP_1@p{nl`4Ccs6s7+{--J9QFD$4m@Yg2lNTKnZ9=n2c zL>hrJD8X+H{TOSVS$+SWoHZ;VqY2dK0?*X3_3niT*V$ry#4{sh=#z2`&Q}E3SHKM#l=!8eK`Gw282n{pG}6eGt}{$j#?Cbe$7q1>lVFXbyPRngFzk)|G3FUkPlx zT8YgIyN0ZJk$G(1M^jpShz@d=G2Uboa4FH?e3X9Bh+I9x9o9be7*8?=j5f7~d~Rha z4cQN&pR5kOJQ4K6f{dpw^%}p~Gwv6(IP^E3c$) z`lfF}A>C(j-N{Xc*FJPD5aAQFFp@b#0Lsq7=m^5$Jt$~sxRbE_>jDSEBhavDT34ET z&kflS9*!r47DGQ+mZFQtMi8K6pz%Ho%SSivd90~a*lO7{hWB6yZ8RUufsCLz2@SU( z5E-%56`)`aRw+0`1kflSp+sTJ*CJ)%`4)t5XpDJI3g9uqqvnVEGD4LVpgEx;Y>Ne0 zCp}zzCSJj)3WUiRdJN5JREfHT*Ox-50+NiYN@=QVsEl-*kRyb4NFV!Vtk19}e2C_q zAe#b+FD-g+(k3bn^d>YfNk#UIp&=@dK{3h6f$d z0&oX3f>++m^vh{}@twFwlkY2yYv~RlM_cU)@cR?t1sKz(=ROUzzb&-9=0~h|w8@5% z6$G|_8!+tl`7~`R(=HiSRPr~yO}oLM_@Un)p4B-}kb|)RAgqmG?OQ*NLU)F#I!Z{n zCr}jctR4E@cI(HouwZvgt8j99SAuwk*JFlD%Xo&uti6(MFOg?29ZXHEr$^SA-^+MR zHxXQ>-+wPHj+`VX;q6psy%}M>Trs4ILhoJ?b9W2@()t+sbVMS{W=Jk>u zf<&8M?Ni5w{TyRLR<9%ZSPt9Q>bMD>hx1}gblzi(I8J<32m*ckr5tr55bB{S}1&G_6OpA?HPV(2f~nW~&N(4XKK^ z-!6e8WNh=&MM%oy$0&=9U@u5Lh=y+5Ux27!&a}{F)QHAZy!l4T;G=h9B&;Xz7XcqN zSTyvn^0xBXyXaG%WL&+hH`>EO%%e75pWz+IK2_k+mOD3SE62UL%G)=1G55;wxkQ#> zjz=Cs$JicFM7%-|mK(;F`bIcU)}JtDBrQw+%rjA|_Jwx>lu~zP${E4@2yuIuajt>F zZW80bxuC8p^i!^t!O*h?uz;3&DWiEInLF3a?T3-Ro{Z+^%#R+6^`eDQXn@$RWvm;n zAz}D#U0K6p9kJbm`QN<AihL?CZMDI=NIzinX+ZrhggsX$NzT8OH@ee=9 zTCPT7k$vD0=-J7(5${?~sNq&}jh~i#8!RwXiWvM-Ap$!N?@PZM-?!chDfR z8HcrFb&Ud2X&Qlx>s4;H1r38>07JY})PuoL+LHlvqegjatZ`hOFyutQ z((6y{kYJp`j{v0t6--J7Pnci=WF9Riq(;kC29go-)qqJtSS&a{h;gp)p%tcppO%%u z49V#5o6LJKqB5z5A~3X_^|mZQQSKc~SEsyCQp+^y;ZjjZuLwEeVqtw~FWxM}CoY_8 zFgWJ9h<Z&uY_Y?xY7LPK1AB;YouH0#+iz^q>V&gUd;r#)G^h&%;e@<(aMm=RL2LiEtz+I-u zJ4hQfTMG=035K$Q4i=_(6IPys^^u(mc^R71>B;BAgK%k?9GrOU%@x-OIdVI#EL~&{ z9p;|LIgY}jiwrH=MA;*C|7JLk=1LKLH^)4%&kxiY+nl$8;>0ji{;PM#my1&R{lO|w z??Jp2+jvgqqsLG-AHs7GkGzq?D1=Y37TmXOwO@tSJ*E(@0!+_Y0Wb3pb_3mln0i2t zjbv$V<$5|YelP%ZL!hijE!MF+&pel=u&j1HYp`~Xu^x>fNY+`iR!}YslH+f^^0$1P z=Nn}W9Mv#_XKbKAUPfV~(Z>R7)Ur8Yw?U2x=fBj~%G13<~ZY3Qn{9g5{>=|;}G{Em2eu0te#bU+Q;vV3HRXG|L6;Igse*{p?sl4 zED)MQnD2Vtb+7CEung#_6(>$CM;Rda0Gs#hLKg#z_^sPeH30Fj)BM*%?OKs5N{K~ z6_3fo30}1T3H6>accDf}%B}_Hwd5iE$3iiJtTICRvN1J{S|xzJ2;Ye!U1fWBc);?6 zuD>p7fCMV<1HAKE6xZEgSQw^anB}7Bz8`Yy$rB}b*;Uj%A7jBqlDXqz&O5TDdCVfe zvU$zqnWR`$%a0H0Z^-c-IoY%%@+V@)KGk+MV}iv>QORj>kMEK z%UF7wG8Q}Y({Xx=F(r)xhzpoJ3}o6BbwCA?RN6dO&X_P9t8JwIsQ_>jyl*o{oq)M= z$bR74)Q6ot8_}H0uQnU;L7d~-BpAQR{lZ4lnDsF^2#d#3Mw!T0l~rA?r}Y<4dbd3 zRwgX~I0P@PZGt&7oC6zdrgw)-MnwW$GDCU^a$E+ejTc}5gC5t~QU$Lj2?_eFgTo_&BI)Tum$s_h1E2I9zb1KMJZHye+12q$QlNa*RiS;j4KTD(D|MN z6vZ)f6&%INP$r6V!aI<2N`?zdBkHZSR4&sEqc2$KGXZ~;jF*Z=1Rx(TngwCB{GeFL zL4Jt#QAna~oyU=k+OQN@ohdNp&p!`H31f*sxZjdRZ`8)Uzv-1{s0UwLrRnh#>Dt`e zX}o@r5RKQRDg)~Yy z(((EX0M``2pkr05R6^pSnJvM~vL-4>32>VC4)nZXWq_kob2yI7r(eCH7zKzCBya-z;qi)6+ zyUF^n5kTnmdgINVdm`1bx}Us!iO{3k43@y5Vr*na_Y`e6KV$FFbnPC1NQpokC)w_b6O1f_HI_GHDvFda6 z-u2T%|FO!4SRf?ldggCN?oFM(iEyl)cHZbR0lUSkY+bwy>UzDs@NZ!#75K7+EY-i9dRL;3DQDJzGO6cKXRm$E~5!-|G?BKO&d z!k~y}Q*I6Z0Z>-rsrYB>`K9w-etRH)dGhkUhGSIrc5!F?6aaa8PG;kPK`Y0D2aej& z7jazANxZT0BX?4UVZyqA1Avhpi9UBhn0jUY2#*LDx9>>Z#kq5YrTmcR|B&&(^HIs7 z`DV(WeXazP2CVcu$On23o);YDnx~KrMrk|8_6M|uQ9APZEW$1t$z?xNaq+zp98}i9 zBQm$|HHxDz?bEjT=a7X2Q$ruLk5Vv1yE3M;W5R+-IO|y&@ZdIYO?03zhliz z=>IbKf>@`lcU;kVV{O;UuQX2NxmjN|whQw49P5JgmciKEjIOcP3JzZ9{eAlTW%d;F z+>S6ufK~fm?zle2+I)a@_cHpy_c`}0`_Ws>i5FRq?}^+~ErFE8)ELsR1%@p!Y=H;f z0=uMA*?PTaP~ug9prD{RC~7dVLmIZgAT7|=vo1n&kOK+BqKR?1Tt67YipDD<=EaH?J*dI(0CmM+Czrc&7$ zSCngb1U*UwBR3?^GYo~{W(4R2{sbUlpj3S4dimYPYD&h_99UTSsbH1S%3+Yoq}M86 zxsL!S7Mg-4krdlp4^%bs99q5r&OkB0?IKgvhxv^aL9Iv^tG&OcKU7J0hmI2Skb{Jl>UrRW)PZ5Kxb`xN1 z4nYcU#nWoSHxQmxbhJimC<;bW6HmF72>_e1j&ix*O$Iy`03jfm1Hv4Cl3s;+%#Gkt zINAXX}ZX7 z-$QzW>PdK;@vIl97Up-D*G_Y072boCaSthk2nr&A=#}U^a<1U+k>>~#Xnk8vat;WL zjsTSF2C`4caH(1@^W-DEo+b$KqUT_Z^>q|MaE!ItSBtgAP@gRnV6I`?CZB~a{GG|UX54wMU>^>`OyZ<08Yg7{Z zF{aWFt ze(I;f+pynn!()$r3#hdHw;Q)2tf=018u^^Xuu~rBy@e&hjy5A&h`f^feG8svk@t7u zSL%AB@Ogw|Cmdr;@=M!Tb7Q&Sk7Y^jB`yU0^9?+m{ebvy@o)v45cV)}Y+{-n5C5l7<3Ij%!37HjO zGh|C;YXR6w-i}5p+iO$H44!S*iM9+NgLV?U(=ajGPUB;GFf&RK;BM{Isi?n^ha!s4 z#fvEiT(*A$D180}p6Onh!my47hPDy9kuZkR>sp5*Dwyk^`Y?2A zVer7b3=cy??RGq(tMjXOqfC93w$fPRU9LOKT5*apToc2{zdCW9cV%o1RoLZt5(c~L z+WT1s4W=z#Ff!RVjLVH{Av6XfY`GWSiSQKpQ%`jgncoc1Fyh?zmiLH$KRkI3gE$hd zBb?7IT}@-r2Rnb*d=c-cJ9ui&FJl#qa)a($#o48hgwX*#VgE6 zrl}yDAd2goz#z`U51a&%^jZ_F5vuzVLO3BFNJk5MM?VfLr1fNTPT z8bG`tJF3L#2CE&Bz(BJv^f;~o^=hGv<+X! z^%|Laza{vkMP5sQoTHqJL`Oyn$^;}Fhet!o?9|K17%nvM%POnkXG4ju^4>j2V1zQ2 zN#l3gLy#+>kk8@&XhdtUDMi>to=3yn@_sCE9kOie96Vq&R`tt+c&Cj?*AdZqh(Oey zMus@Rh7SO$ejq}P;x*Kk5fJQPt%=a00z~ASi&Px+SP`pjK$mNPZvyGFUnJF@EL4L`zp2YBr@34+z&g(Kvs#>s$&?YGXS?D;MrRJjU6 z!31~`DO=P#bZ7+dW*lJX2=nm-`8~t*4qZfpHax-jzvLK$R#rFN&V~EwO{4TnfPeyN zfTcMROKg{rOVmdx7XTcpcgaa}u#w^0zIZJA#}{jYpq)A~nV;+gxi`@v6yfL_JB`kS_4< zJwsJf4~zt`>E>XrEVo&yT{I?GrU*cy|GXAF%BPV;U!QHP^KZOxw?FOKJmIH!U4px%TdlsC4poMt$- z3`n>zGoF?wH)dq3Vp`!vhX9S1GgD&;t>DGy%|`&s%srTQj#t<0#`{eLZrFbFuox!v zz~~gO>2zf3NkG}_X`bA9b-Wo{XlZNwYXTUWv#>=y8-yb58|vCQOMBOF7cmrPOmD#| zD;!#06(d+h!^pmaJU>czX5;qB&IbypseGE8x&E{@ld@F?WFAf@%!(@~E| z&+(Ze&n0>)$CRM69*KhDj<23&yt^uo%;!&j@{`Hedi0||`lIQ>g$wDkpZ#ol{q@%w z6In7Xg)h@p4C(Q0fxo%*L3j?nhn%Fhhla@4ke^iQ3Je;yQ<6_QOoWXJkXhomUU@Z+ zziG%ouJw9N@&pMD>Hi+wjo+D=OoA++>hM^DFsN>g%uk<=_V#kgG58inpiMRi$EdQ1{JS1? z$LPmy@1nS1Fa8*U(J=zR*#Zy~Krh~YD`fzp5#}*+QBpC+PULT-Eh98K{X4_6X;7D= zCmDh78%ICW6d(djsx#i6qui;*lVEDk?@wTj{wdyhCx9nY+60i)$;;@o7wVJ@ORHR< zA(#56{Y($Q^F$_nX-z;5$lWRx!$QWLv}4pPsG}4UeGWM06;YFYRp;IfQ!syz0&m{e2O*D zwX?~ZP@~SSV|4-2&7PA+m_U%2gIGp}mC%8;44TKaE-J8Qi|{5g zb1(;?ar86HD^g*345lMK`xaaTf84yan1q3k>tI64dn4$uktdko5UdaYfM*THHT>_L*P`cjMksh77F2n~WgfPH4$& zUzn^2S7*EW{Q;68MFj_2^n(E5ZQMwXOh2`y8e{^4H|Ej^Aw(Th`4S#egg~m{MHm1C z{apa?jUFMd8kWS%Act2KxBy6|9FKiSg?mnZl^SJ_pa7_^Gzt4yf@KBcW0{bn{x&|h z6yV|9;VC=|*Up#jqV*h<3Ows7@4;phYdP9LPrdOmwBox=O9;!e)KgD50j`swm?&@J zJ!d9P#;b`YxdnpIK%;Oo;6CrcJi}AaT!YoCymQyzN()RG5r(wurw9E}Va5EES~Qm6U@e`dy_BJ@E(0ht zHx|@R_mXk=XuB~r<}5UetZlQDwQb@)<^c4iMd~P4w~8CujWc?_M4K+Arj$R&4- zEr~j==8mJT^OuN1cAD*Im$+-A2}Edc+F0+)N1duLvi5rwMwAHNp)}Q7(CF4q{Z(*~ z;pS(TFlqFtb|~quS9>#PKHMz_iR%R z|D$ekZ_D+?&=>HQeG|kKBoy4tsjp#2eFnWKeFi-Vm(e>KZj|jQuD6~;qHUNDKk_3# z60c!<3|qh!_@}Ga(j^R4-bNO?!#*zeFppek?rZ@&QnkF*SL zy}(QG0=O$e0Tn-}RvJ+EGC&UMw#Wse!7)iye&LYTQFGPD8^R z$fA>!JH!2#XbTO(^t4o7jl5~{JuYf8kfDq(Wvd7W2uK?H5ckvFt8~2UBci*>qlkJ=jZ(LY6>SEvIhcGhe0eJ+4!Zw=$JcCnT~-gfDDGct;pPyl3@0!F8QbW{XxHn;TNE1 zA}3=@4=X^VjOP<5j=lw8Q4bM@&;Wn|qB`GbyV*tLGfc**RQP3F+C0~GYmfk*)Yyfmd=&amvfIvRR0&V&<#>)gN1T6mhr2rpdbgyEa@VB8Wj+TAY0&%+iNw!p9jcF+R*X9wQF zLkur{j9P$=RIdX)2*dM0MqZNX(Sj$GlPLGQ829pbgc2DCLuHx(Mz9G+wj`L4iYKR> z&=|>d#Ieo~@!ih~O}x|uNuIB=SY~7aFF}DS1yR4t(90xPFVB-98w4QqJZ|nYMkRbU zn5D?IHUYDxb(Y_;4pqsX41GcIoYk?$M97md>um$;yG;saU15)%}hMmM-!{B&~W z#WcJ0VVWL0o@SS?0a%^F_>3{I88Jrc*Jjfwz+hMhSFc-|>qXf=143=d^^%tHtUM;ObKJa0d; zy~pbZ()8#trd}&NISbrH^m=Sk-$H@k4~Xt*qZ~oIa7}kCYBAga z2=$l}5UIjOs{a%m6j<4h6uJrOS5u!Muu1(53pw|G2@>jnu_Iz$gy9o_dr*Lz!MJrN_XAEgwUU=FqPo!|ML{ZAYoedJo;I(`4|BAd4DNp+Q*8I($>}=rQ}0 z9NsXf$-Oc6pmtV*eEG}qtSv$z zM|eemuij1ODsqm|JucHOKC*_88bq2C+z2Xu&H--^SR5_OL>P zpA9cDo>@>d(yG{A9Xdk4UPYgA00XCMwDASOd&b~2x{ec!%V~Z)u5N+z9p3^o`O{Cc z_wBtwRDfxQ6$K1b|B;>T^dVy=jLjJbdJyKOx?%3^YqD(x^VCl{=8*}_sTui3mAyC? z-gS)0@PsvwpXmV3obCTutUCpsvKp~PenEgW`!!cj#W?95>wOE+`%*xTvchA~^}&%~ z7*fNLx>gKI>f2be!xQr6bpYJ!%xf4u*G|`W*24hZ)+^8XrG86!#PMibQ8xiYL;Now zw;p1hxInn(1D4g9k4@HvFj{4Ot<#1RjFkm)b;g8V?_L}?jRlf-tjA#_!Z>SV+>!&5 z$J$GH(;*F8VAuk~7TAjxxT}5Mi@Oi+Ic$L~wt!&~)B?F_=WNnhWyuMX86gP}HX_t# z7jr5YSlqdVga;#H7&Jhv5K1ZwNd*!$Iw5_jeet{ETlq2G6_`98Kl3h8kFc0RcnS?B z%tC||McG~gg#dOiIuSMn!LJR&-?_59e!ag6Dt7?=c%}%$;&plkY9%E@f*_f}Seuwx z5K!<(Woz8aJHYU*w#$0=*v9dQ^DYx7dEXo%NuXBiRe?E$ChE~fK~oSyC42LYlt1%q zgl8x(8t^YnQcKG<%8I_$`ckHmevE!oIZuCta1Qh6vl`+qJT0hC3+qM&x%}iwas&Vt z-bb1kJp?#-EW8Nk0SIp{yqAt2cz(k>3IvXQh{YkEefb<(Xv?(~JeHLijdD?ai*N=(r^<$kIXS$j|%s&2f=EXYa-jBm7lgzhc zuV{%VV65WkBtn&9M@1gj8&g3<N8LZAyj(S7{c?CJarE z0!-h|0|==+!?d#y6nPj(;6`@BaHtU$l5J<6Eo@p{(qKz;-^Yyol=cj3V%lnr;ZxtM z9^Qijf0E#xAezgV0A7H3Z2z{gY}abeLG)6#uVF=9##Uq*n4SV}PEp5DZ~I4Clpib~ zx@nhjz4LaH*s?HmDC@1KV5mx|zt7`ulB}HLMi9|DSziHBpFxmNPeQ@Y_}&>?hS+@+ z=~sT`SJG!b^O@C0n`W#VI&>@a(?9*w=`a4`FBl)?`g8W|*#HW+QpWJyhqnd(-^(AS zcTrS-MfpLl3{MpIb4i0Afxuq!S9u*NqAYYibGiTHbpep#4*b>sB2vm5D4)*&av5^; zFiQ4|c*o3bGt78{`X~`vhl2ZRPz4(r>w@9p-A4Tmau|^=Vl7nGNh!h&gj;ny>-BaR|5p?tz z%cyh6zJ?*~A@kA|=A?ta5tI;MHK%qi$U@uplHRNH$bWj1o~0kgI~&9}z^&u=4)VW1 zuu(!Z0NiUT09``XrhoJ_OMrqkz?1Chr}5wlh2ad@F2dlvv_8ipGZGoHI+ zpvSn=*gFgWyjGo#dNiIX6EwsVusx2Rg868lN1oBHd#IBsu3W~F ziE9M-(5+>L06h$oQt9Qo&R_FUhDYF)c^Ag|hWHdXrXFG7U9AIaE*#*1;Zhwp0DS6^ zTwin69;6dIB>{52CfVayEVTt5V0z2YoM@}GkgTjEDQR7TX(~+c4D+GK zVSsX4Q5m+hq5w7#;%oz$80(V3WwfzeEaSyfCoMH$G@_2xbvu1mVAC2);+cbqv|Y8N zG$aiklqN4X&q4u6n4jVETjvQkiYMU!o(~Eg?ThaP$SBik!uViPVeG^%rgi$SjT%X<6S_od4%va0EC;-F_`B|wEZ+-p@O5J&U&Fn*DI@_?G_0sx`daa zK;bwb<;=CY_-^jQagNV6O4(z(c#+|2XO>zee1`DH9uaBTrg%ABz!kfw5`!PqiKz=rpA{!5O- zPTQ0R?(bifJ_3W*v(8#@7@^F19%1|(>LZv55Z-EJoRjfP!LgXJC@?`$n$)!@7QqoHOTYA zdk~h*d)P0%0Ah9SPT$=gh*DjGf7~mUR#-utfdc5P%6HsYPk}-KQiU=-CIvmilaL`` z*wqZX3ZHS)$yF8n5WU|b&(8<&Y843(Zk0az(T}D-|MNdzy-ZKSFMjchk(Y4w;PAsE z*#d8)oPHH0?pN4L=7_>Ej;tbtChsF@0M<)-3RVE3hEoDGo^1pJ_c8e_{>Qw%iE-wu z$4{njxCMa0#J<@aPiK*_o<%V}56^W4U}SEK;LS316C@PS&X95D;O8}NHOhncB`q{O zD*FkGnzi>;avgq#cSV_e2qpg{^;sGnPjeX2HQ@(uqQIWj3kF_hl;@tnpwzIHw^)Ow z;cJY@p~s{=<7qseK0whgP&gH2jk1U&NZn0F|EN*}bcY`8KIcJxE_kL01&~q^667u(Y z0HJksyuHZS(y-Mq{u-PrV`$_Wau#cTjc|?vZ!Pr)=J>-CJUqVuU-p6u_ay4u2J8u- z*N~4;fybl<-=R}7HN^n>jlHOU_dV5{MTlI-I&(0?`!nm-D|s>ixFBKZpBU?rBOLzI z(b*Qb>gcd6Cvp^WuK73(fgCye1QrJ&!AbV~Ht%7$Z~7X>LZ3x_u*!t6MvcS0eQ@M5$qRhcs+~VG9gfV6R%> zz5#@U`N}yS5G&*@1xZMZ1M@lM2nzM%*vEjq+lUA<^-}}X@UU>&odYznAc$H zWx!>|<#-et{qD=MJ>ETL9lom)is!~f9P1pc&Q-{P;Rx_iMnKO-nJfUlNVW{~BtumT z0TQNnT`KDwp-y1p6qYh9IwRCV&ox?`Dp;BGQ1MZLR&Y?C#SCH3nr3?70hX=Sx2KG) zeie8LZ^*88k})>XbsNFloME}ve=tch))B`ZCdWkP`SULXaJSw)+vGFQ>M|HP!ZQTe zX}=h&B-mD1Qhz=rbAmNQ+rR>ug3Pfa&NTtQ}MaRYJL8KE{a!Xl@qCwiGZl zBF%v7YjwS&zci<^?>8c{5T5N(gB2X!Qm0=tJh#mC<*Y*`IEq{8fRBy;oFt|}}}>9O61G*);#Tc=NB?BI}qm+N&we8rXb zZl&fFA&vom?iV=dp6E0cB#PDUB~XE@&;V(H#)|!qPFJ3y_ed z$7j-uPykfGP|sRJZVwk9+Mo};_~MIej=uKVYeRr=O{+Xw2jo@$&pQ{=1;8!C(z~QP zP2?SY*YirAr<;e<2(862K|n!5c|k$3nlgsG51;k!Yh^AL<&;~2fBNFlVk-ykpN*+0ErVv;OQ3lE)S|#iTs-DT2+eY_}TEF zV;GN4bDmN|3x)n79*#N2lcVq}%K#Yiv*s$aU3|7BEF$uzd@NzxxnA!>fkMNl*SU{T zI^GAoGpdFjU6+tO&zWC-w@H9d!&k}hqSV2B&cs6HI13;AzMbzXn6HJXg5-T#pXVI zkc6z&z6KCz*hl&@043)o`i0OX`OM6->?ok2eZHRwSvIj|sb7f@xsKU>@{MCmJrZ-Z z^pqsjC|-xT$7l=tCiE-xjmF{?=$2`$Z%EKVNd1)Hpn5Y6*;)HSzoU+4x7$(UI>5Vl z9@i5LJWOSgj-3F6zDS>v>yq&}2wBGh-Btt8Z{o^_0EL&+2zd=>F1(ZG&zwo-AvE9X z!s%w3M3>d#e&ZPXj{~X~w09G|V2gX{aTsA(dHx#hd z2S&Xh*|2;^2qX$Aev#MqT?Q1UDc%JcJHc$pm<&i@_to&drT`Wb1n$ZskJlQ2nq&&GMzrZMz>h*m-R3PD^o`knbHbKB} z;#i-PH#lTSBRvo@ESDoxHtXS|PSIZiX;1~;>G5ZnPQgDzfeN76kAi2CVK@bRD^J6I z;GpMqgOB!aRldJ%M6!i0h%t7$#*3_u8^>nT-=XC;>HU2c^HK%?+QZt#v_VG}AR*_v zp9>O(Cn4gLpUqe3k~5^cEzo4${t$)br$7Day9Ya;t`N;)NRMs{Xe9Spl(qkjjCTny zlw}wgJ>=wzH1g3~NuI40`%?+VMXo0%vr!@h4xLW&Qu0U4@;E=ZJj%}b*TOKgI?tBW zTksmn^=Ib@WlGsM_1><^h1Uf-rc?D%c@+i5l*Q z8WT$9m6mtZxXhPPIppX4ERQooS;r{n3bN|$CJQa)8$F@&zKlY4`iFbzaTcCSwg=D0 zpYWJ$TklzbUF63g_qh&8w$s}Va(zUup?)M(x8cITccbg{x{5HPwv_-O;Q+fy*;5a~ z@LWC%G7NJ54M)gafLZ=wHKXUzAO+wXe-!vHS<5&}x<{cD)dobhgCpa(^IOS;(> zgsBu95@_;!Q1dRc{kVp-=f;pcl#bs`)KLUIUrfRUMiEV0)!@(>zoG;%Qj5~jCFYOa-cB|Oj{ zE%FQmh>L=!5*~MaP55NGHupAw;RosH@=O}L3}d*2#qTxagu!ngn@KJ64DNtVQvZu+5)U(; z^?JGq6R$;ZsS?;;!L2$TX2+%pcd>{^;bIy=SuxK5I{N+%ya@~NcEYT1htbi)$VAiR z4?h_wZx@+k;y~4aUY^D~?0yIw} zkf|&ggu0CdRDP6z;rdq!Mhb>mdUu;?rE5FRQ;!9n-w;hJoG4H@hY}|TD6A}g4RKqN zC3Kh4IlRL+a|{XuM;I*XI?kFF9)r}$&xV^F)T&s3Q13wn9G~St1hRAa;2An?EXZiv z*%w;ZKW=m#pxw1u<>D!Y%Js$`Z6Ds$Hc+gUk6TOidERQgxVHD1-+itKW0Lvh7i}!uMlecipAuU)WkR%WznV-(jvEB1~co6muac&%*gFJ$dA%Ii>=p^it z{H$kVm1{5x-QbV;^TyC+2@pnDNY3?o!JdJrW85S#7)lsJlsyI{5Gb1=1pvppeIRJ& z%faDyz3S{MLvNaTR^UvEu%dkiQ00AS`I7z9=d|+2&R?&Q#fk;dw`#fX{9e^hdohCr zY@{ReUe$PtGO33Ebng-qWpu#AD%_}J*>RV1O|#>G)2YHk^EQWK`Q?{i#%AnN-#S-$ z1FIiBKX(#tLcQ1Zo?cT97}6uz0vb;J7rgyHe0VkZU%|jJCZz^bl}DDqpWsRZ&nykT z1OdIS`fS5E%9=5`$p^*t{niCR3Zth~TZX{k8#9N}JAfol0**9M0^fuuA4jG+j2w6v ze*93!TTV~G1-uP?U-q4ABPTdKS=5E&<~5w-`vG`NC4++NPaqGfV6N(;2jk6&u{f{A zb1iZHMHKi)P%bMEtVg5l$G%!4?eM0Qx0MGJ7`#eb2u>NLLmu%4JkS(%yu`hqQ*ply zvW-?K)8$gnOrO!5eKqcx@mvk+-k`5qZpO%sb?#M%=c=0`gJ+Boqk0uS0IGlrWmxqC zfDeWgT!ZZllbPjw3)MyvPI+&BM4O;#ngUB=gd6 zo;l;8ec?jNUjE4a1(T{uGdA0X5yg9s#iI;&%5R1g6=?HWH8|fjCpqH%~poh-O|I`m>a8So<_|r|%8_syA$ardZEKKQm4TBGx#)5jCa{&q3$9AxQ_l zexRGIa}x79a)x?uy`upq)okTPF#+^6KWMBy>s($PuF|=TOiZN@FtRpTPk~AM6nw+NL z7-fDGgb>g&a=R6GICll$qrF6anIkBqsUJ*Bp@kOpY6D~$=UqN7G-BPAup$-tjC>9O z$9tIRxFUqDU_ub~BI!DyV+bj0ED*7x#jL$RN3QEEdsH z)vzQSA=HNAEavg%Ak49zZ6X}BV4#<=hBBm24MAZPFT&AF@28P7gt@tRF^xR=WVA_f z{>@+%BhfYeS|k4Ydft^?)foIE?IPHiYc&S5Ur>k49Eoodaukqo-8>V6-{GD!r^b$? zQwLv8mpQuBoJ-3eyp3fgo{%ks;On#%W1w-IkgUA#lvI42!qV>&?PkbPK|)`L5Tv&2 zNf>paTtkaCM+skf2MfX*C@v095(eX9x_OYCcXhl&(aatgeKLMGG-)01QxZ4N>H7c( z`R>r=x| zP-cv6FZu*iC&Dl`J9-cS9zC`KvjwBb1qVGDeTv<6?o81ZY!dACvGJ7JFz1)~B7eI&i; zlt5!whsaKZgU?aNfhwT$B_Xx%NuAL7}{~N)(&GajS466R+CnWB|t(9<7g`l z$u!KL-FhFwgg`+->PBT8Uh$7?#!k-{k4LOvXtM6whV(To@;{FG<{g3 zEo!vY6whIRM8sa(CASe6(L) zV10Z?<6-*#1bc$~x1SApD>$gp+Fp^NB_lMYz#o0LCS0oX1Y_I?H@S@d1rSXG-5moz zl&ev18=XOcrYfgC22^tE5QpbHwjB!C-$7vhg zjo{cIK$r&9dJ%@vyU%W0m;wg5$lQaOpfH9B>oQ!ujbbD(!9nL3<2*t^P)1(?y!YDO z_|80vP@@9oG#`3$- zcEd7;Eii0>$FcseIT7@z<0%_x)*5KqT4<=0dj&epF;~P3hEgpZKlraK zxP0Q;3cpe2;tJkXfI^Kn7M~Rmqkt!XczZdmz>F;l6cS#ACLt6U-e!afS)sTU1x3m@ z2Gcr&5H(G{!5VeUu)4Zm)_58B&j>qId~i7!!KAg=Tjx{l#g}$2#B`dwdOLpL`82(W9hqclyD^d5UJ|oExzjwrnlV(0TR|D)Tl!L;hlnn)Wf`l zZ8~r2=0Y03d@nZ zQ&m=XRd?>H$P;mfefGT9TK_c&Q0s2XIE0%fg;xVXk_s9TKV#FIUlT|_XX(ea>{!gZ{9yHIbNbJyvMu(P~U@}-L(XHL6NDMJbmRb`1RIVc z)>Hn~=l%Fwi^B7`it{5dcvLGwXbP+h@lJ|#FXl5%A#LD^OAHQB~KgB1BDCfzpo!;w+j1{H3pxAd~#5R(AJzGB#wy`okJ9#^_GV z>=9c+n`m6ywAK(4Wx>PuLiecak-a*p3RAqg@{{RPVJJ!jJpxVLndvy!%jefH{ zvj>>MD)Pg93usf99w1)PwP2f+DN=M|uUX{zS*#Fe7?(Ab4LBAVBNYKr7qtB1{&Bwr_FG`T z1@2M{Y^0{|(o6QU-EV|u}PXImmK>Al>RA4eKfiTTdCdk+p{P#T^U} zXgO5{*s(fP||s zR+InzU+F5EQFXNRDiBZ=13hznp7(601-o9%-F}gQ;XMg!#?XL+2-Bjlc(YmwFd5v=CL|!r6bqoQ|mCo7y#ypI!rJc$1%RSw>4W0ccMKBZ|h2bIuA+^ z!`@e6{P@ho3g9&N*QaWXp=LV9{po>&7`ax`gMiAqJKAk3V^U(=KvS17UDCv4i=-gM zB06WcORfuA6wdI`-KUz>EuLpp;avy{DihRu0-%qnOopoh>^n@BL(TPyOaf~|l{HHN zj!EH`0E1g;@&N zjK`y(=Ed8^y&MQbv^p5oAb+;Xe6PKy;C@8=MM61cyR>|k@x~)f6mLsMPo#1OVI9_l z>H0Zh*)F91%%SbFi0f|mT9*ar!UPnIbNY#O>&|m4Aa2VS(6v76r_4Lt>&#ma(wQMp z)n;K37!oLqWn@54#1C%rzJU}pp4EcTIC9}Sl5J72r^3_=(8oo_#8~XJPlgbN7`zIn zUPu7602@t^B^odQLfYK1V!ztfwrOr9YQNjpTlKTgnta~-qF=I88~z69NI!cYm|3?XWXx_>_A+BkV3{R4@^ajSI?Z8$yPuw4Eugj9Md<1;Ew7}r@_NiE`G(D6v<=gF zf>#29F1K5OgSOcEIx+a-!MuituA|t``n`PDg77RZ_|NKAjx+;JK24eZOtDW+vbdC? z6N}Q4q3~58eqkfx5Ox(*Q|2FQ$v|8Kr>$Dvm)R}l77?^g_eU&H{!v9Dg7u7 z>p$JTdfz11SE>6nM>yhWLqS(n^n6kv6w!CO0k|~9{T*Bx-hf|t=)m0GThEbyfP<7< z7l{#HPD?c{iWpA?J><~#TPE5+XC4H8O@_$m(>DEU&@zH2hPlua#kh@Nlgw2{+>Pgy zO|sdu(|s-J7{9uhEDBC2zt|*2EJE%t!iz>|m%RW8c~<}=Sn2iva!RymSbM$nWt)`Z z&QA*r1~7^;vwN1-a*D=bKa<@MH zTA+;*mT%i8WDya&lDTClnE=b53ve(msIEro#{z(74?a%|y*`Eo1(emD#eL@edVlB7 zj2!jYbQwj5L(KaI`COn~PBA_!D7_ze;)&EIj~?^BIj}I*t*9WOz+r)-NyXwso18$V zFkdgDumQ0L@VriDvJU8#E3660OXGoX^UJegy@^+m=b-fvh%~m%Tqe((mCao)w2qRJ;{$D(U6;vDdDP4$n zxf0F$a|<~i5WtWykYV&_9(l@tdo-#ydK= zB`C4sV}Vpg+Ei@91OcN}mLLkaw@mfA5DDEn=V8vuR6}4TB%gqK8xt8@PY8}sS=S;` z#>ShpeDOUN4km@y68CTkjZU?taIXVRN9c2S8%YttK)?q;yb_EmCF3z$f_orf)K1m1 z$&7WQ3Tl~}fH@tQgf+DyIafq7RtSI*<_Om{72Y!gP*_!J+d&&N%^(0fmf8?B?bgLq zB=ENuSE~>2$38P`bW&F_mYJr}{L2De(yB`p45mb?*gMx}SUiaOWa(Zj-ErfoNyf zPDY#aOATv3K2vY4gfOUpB)5;Gzcg5v5P!s+j`%CFLU_if{hR$$(4>W-pFH_pt3lm5 zX(^~%)4fc-St~;4v{r;_D$gQ)u9WBFHS`Sakgaw*X^*`u+jE)MIhbgLV#io_4#E7{ zMq4GWrmo6r^^6x*Ur)>J0u(?s^dS9vmvs3*c+sepZz> zTtg{ax=J^q%F=CT-Hh7j_Jhl+=Qd3|yAJqquYEY0l%1KEALTYV7`VPP50`25Vf)z+ zDXa-4$#{p~!<{Tk#3(6afBR0~<$aq0gw{hGTU-N#(pYhLr3a5MVxkAK`I zyKCv&zU|x6Fa6Rl-L?F;%UEl*%f!`w2KRVPgzHD4J5QfJjn}ZP2J3dY?(F(i6b#Ou zJxiFSdV1)ghtf&blJfINkoYLT;3C$8dd^seCROnc2M$5gjJ8k*T1R?^DVI-EXfp#T zFh7}?W0r&UEWBo{KPR5_f!|D?a!tyA4=n-N4THa4_nP3>%78YEXYvbNE0NJRU%EhS z!eV*_JnUrz)>paE~7Xmg!Cpkn!p{qRmP$T|+z$-;D4OjhI>`MwNDxTW`l;SBh$ zf?=spjTnx`AJno?3&I&`L&l5%V1v9bp|C37rj?);fh#Orwykuuw4~soNBOo~nN5pC zy_^VM8uCIb8(n4Apr6|Ex;zh57x@Srt`JtBO@m#nP64J8C;R%<^ce3wI*75Td;L32 z0$oXfz&^nBU+l41sHwc0RLr5hBhDW3gPT1(=BI3KmXbN}|uH(1klLa#5HvwGw^lx9Qwe5h`9hSTxD5W)=mY%L<_9O4R zD@kiNlKoj!S&%wemmcHZx)oH|zFY6!%L)ltOJrc3EYK9*D0Y*-?d;eVx9&;P*HR+6m|Z?iHQ;##o$qIQo36 zvYke0<0~t@bc*&}zIrXSSUa`+o}kW?qL!l zG&429GEq&3$S>NO_U#@N5M z-vawB@Vsn+`i`G}1b9WZ2MZ;DGPOa0(O^=EKZxtmHq2NHVylX~&JsdRt%r(8q1yDH2zzT%JqQ#27sIe_qqNr*cnz?ZM2gR`g8HB zUV<4$o49sl&uL^C{gYUw3KGh+uRwsR=_^A&2cufq*v(tk*SXSM14QLGSvi{KpifJ> zPP%*n%Rw}Pp{wghad$+l!rdlpchdreX&k7fxpo;oOlyF&qSJnv6z?wWTOnWcjhh>!3Sg6@oZu? z@i&`o`MZ6;E|k;`7YxkYiN@`B?awS@LDx_ouL*E6*Q=~a#UfUa)T&febjG^0zTVum zqTCZ13zA+(ko5opA>%;23?bEaX}~xPv3M3QrQYFFL;K#wrqPnI^)0|pYz@*FZl>ArYqUK8an4LGuv0# zCs%J^QGbA?g!Sy?DQ?>1{Vz&<@BXp6`O;&X3nbeg5?LkMS9#Y4*P`_KR`Mp6V;;($ z^S*qpdOrGv@e{{E|N1>vYRVBuo60XcNn~#M+)ttokfe@J$Aq9>0L+#_Ik)e#41@Bm z7i{D`G0q%ogM73oyx)_+odA{~TAsfAGQea+W=&1R3>)$?ntg@5!%f0Taj_kJ(QI}N8PtQX$+#y6(7z3pv; zwAwxGG@RGyciZl_fBU!7XFvPd03?U6+m@$KpH4sV6F-r@>6^Z3_|m4||MXA)H0>6| z75shoyWhQOo_lpcVDK6Wky;Wez$gwDj8Q8)-=_;rM_E471hDi1VPaZtn=(bR3>+L@ z26B4Qxt=G#=Icv-&SQQqKf0&*-8}TZaRnZz+C7lw;d?rqybdi=2OL~fkj>2kad3n& zC-OY9e6wHHX^jo0iK|f;7U@WVxt%7xSLo7TfN+72w4Z#0VBUWK$QT2=LH;+mCSYir z=$?KCK5&xv+~kUHzVQb9hyAkzt?4rdxqp`Yw0g|z5HafcH9_6xSO{0KQ0ua}+6EVW z7qr!3_{1gVRGYayLp!NJdRw$9WeKY=h3kSP2LYU*fsJuzd^xQ-d%6gu47wWZBJb!b z+^1ajYw+UK+x5o!mN~CNZJxr7qgFnE197kJ!Qp4`XTg2AJEY%Lv@VAAS>AJbt;ZYz zje;h2jv4!oKHHNdFeSf^RbL6YK@XRV#RpIBN!Fv8#5iI6Dpx5?9m+0S7wXhk0ay#T zdpyN>Lp|t0DTp-Dxu2a-I-*GuM)8mX_lV8iU80M8XbiE8Cy&{kYB3^ zxJOxxb6CXEtXG7HmtY%8)%`Bs?kX`EeaX*Y7p0+zM5JOAK4X1s1>Y9(7O|+CGm69 zKekm45Na)ZJ3@yZ7PUpu0a6uYLMz-mi4nMIVfXNY^W+Hg={#1|lSRN@)wJ)`i^&nD(%E&uUhVNnMm#*W;`+r+wse5P? z!>DeRw6^nO3_pijb;w}2cl2T6(Gt63{&*_tYIKo!gnS=Of+SiF3Lu%6TSHaZ!yPWC zf-vSCAQ9WCAg15l^aXXaRP!DAR^+v?JOivm${9eVE+9v}8^^OeZy5z1J$jG#=0Il$ z6tarNc7GbT%dNwyw0tN{Rpxgj#2#&*`}uc(XoF44F(SEV8@X`_w8hd+e`wk1y#jAr zCdnhyVEf8}UiYB&@APAQcR?V9%*%x`h>Dy29T!Lbm`|Rh2_4gtWHE;LZTYN&zw^4q zk-RyA6DfBwI#_OoA6@_My&3PpMD;(PeEs((UkTZCOUh3T zm&kMe_TzK;T)qI{@BkJe7qG55fVIvu#4A?-FAyhBD=&vC8g=Mxa5ZW^E+Nvf(rqex zd0d3wJrYV^-m$YJJuKfP|D{^3{FqPc?*9h-XSk#1J%^!tq}|7Xg87?lYk4=@-}auy zQf898dyT9-Iq#j{KcV28x3vL8JG4O?cYSk!bSuzhEqIqBv`GSZs{t@v06d)qsF;@q z+b&U#0CWUOR3N6&i(2;4-eEa-0=J^jZP(#Db)9Pb$5O-~#43^)bRE3fv}b2%-^?m9 z=NEkK#413eWgu^rZ)YguG=M=tt24k%y&n_@vFo-g<~@1cwqw1revZ?mh0{(F>vms@ zLx9*mt`iGKMkdTo^4R1avF#f*?PLwUFQaJ_>Bc+ML`3EM39clQ|V`MJ04*n0F)V z^KOf?XZKqtc;EmD;o-vjmU}Uvb65d0-}{WU!WbnUWX~Dk5 ziasItRQ4%Qs0&le9_~l+8la`&e%fz={TA47fjen|?bz!($$S6V`?v+v?)|_AK9K(Y z@BjYZsD%IpDF`$-_(6&d9jij!g7g8e))0L62o_X?N$O%rClg301&EUf3y*~!Otg6o zIJoQ}Jhm~7vR0$l<8Dr7LLsjLdJS&!S-*y^q|~)H!E_Z60+s>kN|dRjt5JoITy6nm zt^%s{akp3j;HYwcfxv{Fa9@WTLdxGNVqE|j5wX<>S>+;s7NIN z3dsjQr!^#NB{lFUU=It$BE(G>YqLD*I!2&C0%ncx0tFUZ=39bBH#mZsZ3r4uoAPd! z1U%KTtN;qmOiZU{e;HzBs5N1oIidhzk~Wbzy*Y!jm-iT(Yirj4*Xj(VDJ)EnruhY|9ZN^k zI%wh zxH7#_Pt|LTzeK#obJtQ6OTvsh-QopN)cI=jG1;U87?vHsg zy&OAHX6wJ7?x_|q7SYfA%+IWYgIeurt@o-|y$Ts?G5!0$|9kq}=ROCGwU)m0r7xwo zzy0m$BOm!lI)cT*ouohevp-88|Mq>%-Sz2wNq7KP%jQ`cp7|` z#CMNcu9qwi!vIcK5gfaKgh1Xp$j9=}kk^CdG0K#G*ERhbi^B?9ExPJog8$tSh!!=- z{-`KbAq>SO_%9VSFT$T`?Q#N8?kIG6reL^Uo1rH+eqE$bfM&5EYzGgi%hP^~=LYRQ z3=nF$S4GI)qW)U*tiq4!UUdaybZwH>VgRov6vd;Yx8m`JzbQhZ=?O4L$(FSAY`0F@bJ!|KES!2xRP^n91SK|l>@5Gj{w?ss7So0eYsU; zy8A?FVBH!LrG&(I4eM9xsPcGe2p}|`V_yJKV9vRZC9Cb@nt7NoHP_&M%8U_g5kt9N zi@_Qm1SXrSvENhx@hapepIKxbJi+^w)9f~dt6$d00w2qy^`IWqx_lx=DC>@GUmz?@ z@qq`}Xy~{7wBG{zEwJALx6uNb#Q!!P+<)Zx+X8Bi{_-#Xa{A|g{^xt9l4{OGlHeJV z)q7%$?9FSc0kjLNK(2mN?pM)qo6X2k~-NPW6( zv|K5tw{^&C0%>9mbAt}(W}o_CR0xABy@!_Q7`uWl5-G#IyZX4!sT>Lm!Zobt3Mq@52*bqeSlh=xjILyit zz@uYhns>C(Ol?7EEfNc{JH%|raO-wQ##k-dVc|pevZ24czxT}9U|7`XDgr(ZyOz}CgZkRJp#x!m*$pnl~Fp5WnVqO!IlIxTFK2~3x<9vRqJSR zBOR};!rYIz{Ix6!W*Urv2Jg}uRzi9XU|9lL(DEq6vETF5ouU5pUHSS-s_-F{N~&C0 zO6_C3cL&Kfu2rV#OSJ1+j4dSoRY1edk{Z*#osfzlB-$+@?f5s9n5SCE-fu}w@WtiT zGz&_zNMBv)O*@l`N2*eQu14vA=W$X2;R^F#%RvQLuRwrgy?2^q&1)o$W`>n+!xLQD1l$`vl@9oDX8+j2CxXO zT&iH1zjBF97aHa$41Kqj>XVP8{(06(hLnJib)J0@x1famd`|*qwtE19f~hRCZtH#s zml^}dJ`_(XlePB|q3Ek~}#`n4f>X9N+rZx2D&>{`KqC(PilU zlz#Vje>Z*QD_@BsSJ_+N|Ni%HaOe5G-}}Ak3t#v`SnmlYo;hYB>Qm{>Z+>(B=!T=# zd6q9vdXYJH>{$MD)8n+D*0YdQBs>Ituf^L_ywCYIYSEVSGI~Oh>k{1Q!aD?Q!=%(2 zFL)yMd_72LX(*7JPtDjayB&oo!@U+^5nHqGRpO4w5+Z@XV^avz@Hj- z@F?KKbwQPZaM!n5KBhk*Cy2Qiin+oF4S8JF6Wc(#dnZZWcUc~E zun6iJ)Wu6~^C1Aj(K2tArzKhrWyFl9oF6Dob&cCbk{2zykPXrVb+!IYK{$lw?R?(b zM*w-t@Lv-M<7Wuodz~BW^!+r?AK-Wu_kIT;;D=)qMvL%lC@Ue5mp)6hseRbu9Zyi6 zCjc;8(0(ez>IQW+_>?vPE3LqNhaoHuG8Sq)cYwKCreEY)1SMB#&pNzg1)#u~bS1!} zx;z#%V41Q{lE*5pNzc+RlK_yqM3vUwl7Gw_;~qNpv>qcxEVP|k59Z~kzQ*cvdARiLf+GDVC^^Ja_`8IPvSLk1&@eilT!*HZv{(&flL!iy4X<*t+c z?|fiADa4%Anwj=z9z+5pL&J1@wp!20^b6$T&56LfGflfOWXuD2SMQb z_#%G-6Ctx$V{tSJ9s8bLg*`#LL0kolxz;LZXY&CHwv`Uce1Jnbu zEOjXRyqbhqTWYmaps<;itxr=98-nuc4y4Bz?olt~(Pl!&zwsuhYtlKD0nvIJ-q)s1fD{LlQ7ArVK`+JN0Tl^B`hT()mAMW!t7&Anw>aG z8%(FG%TLhOFObX!f`5jV=~*pDXsKQsC`QxT&FJno&hM-&1aJ_ zw}Pczp{v#_?w2aF5gXAMels0}6#&>32;mZp(i)6<4<^C6qlM@i)~D4v7Jmp7rj}u} zC(szBU1YEYn;S8nvN556VxG1%K8&t<4#F_#T4P-53N+GR( zHGsNuaf#D!XlFMIb0tv7Y=cpNEf@b zGwVzM#{5rqKXl9cz%GRt;gZ-fBm=3N7v_{gsTW$3iB>_R zq)Q$J!~=ogxOQkRuwAfetidbm5qKRa8M(Q4=s{fOD4=35VQ!X|t{@yOrPd0Xy)5nF zR+QyGx5x`CEzZ02XPeUC=$68VDIOoYOTnqYqRCeXI+>@SozHqraBx?NcdUbiR0%5k1fS#bLeGFb4{pWJMU93p~LG#D~HT&4EaQvCSdBpd@Is1P7 zw{6Pr4au=Iobu~~V;qL=iM)J==lJ-(bwHEv=I?kl+Klfu=Mxgk|fBeVmMgQ5K{n-uRV1D7%uYPs<@P|K~e)1=OGERNwGoMNCc*i@^ zA+-K)C;h=6{6V;2^jR$t1trJDHY~F*{n(HFSbFA}XVzW23K)L>_kVxTSflSgbLLDa z8G2qiyCvr~bDSq<l5s&mvo2eGvwoYRJzoTP%A_OWqcgyO!1qB{!ru5QIUFYkOA$UsKKU{O#P^9jFHtMnomw8tWfUd}bJ_Q|ChZmE7 zSkcOFBvsikuc?eRUrtBh^(WvfmuVZQju-<#5a|$O;ea%&?{aZ>qbJcU0Zufa?Ve)s zd>nZ}1K?u?zGZCZ_YK^V+ww} z&ij_&vlrkCTMWt>%5@p{uvh8JIY33}OI@=X&+!=d>DoUZf0plFP6gV!@22Tw(?#WO z67>x5&O8K(4r*7mM+sg%T#T9>Ja^h_y*%?YF*fp8g8>j)7baYRy4~}MHkY^vaF6wS z*NJ|QxP#1*n7snNjsp{GPJoWgpa445(7C00EU3=~`IV z!+d&xc?GQmkqtT4w9pf56@ZgjC|W1M#KAff?ZO{rLx-8?N`G7fyMozQkqNQRmC^Pq zqEKI`-33_zgk^y>%lLzRlvcHVH2!A^E5hERk77yqU@G9&eLwBDz>%U?3{l z%_IBwJ|A1){Q2_{Z}30<<3HA`rzY%!4?dXAz%V}NX`l%ij4H&BNw=ac)ax5d7g7^V z{QAmtNyp>f)Tk!-@yRUinB`BfyeK9owWy@%zH6WPV2>qj_u^{XrVeix+kg02#IyVYffZ`hT#&k76 zaLemB5(E@%QfMK-sye=)S0_YMO?+n5KfZKi>5E8ekeI+?eh=P-u z`BWetVxbDiJV{IdOppk1ul0MJ zaqIf{BGwYes5VGNA_wEn(;9N_1GsTF!^esGw zhAU5G3cAkRG%=@o$6uU^=O0A?M4X`O=TrZ}Mb_10U}-b!ppn*yk(j$I!`X)HJ~=oY zYmI;SxK)IezqffmW$>I^SbS%x4S?o$mt5WvAR)4ua3MDNTDQZ# zQ9;yslz6KX)a&p=;ZD^ePqK};te`)VR?g900}O#>Egg6c2K^JU z2WbrZMR}clW#8Fv>tNfM8sy-j;{Xyc0N}Wd=OAC=w}7LYn)jGz$iMtyvIDqg^6Qpq za6|rRmLX5%dHPQ8;kRY6-=go#-?CT^uImP0IhA#Fe2hzir;b$>+4s}E(*nj7)GE;Q z5b=NB_{KMGTDY(Ky01%bc*7ggX8;E~05~dS{_qd~@TT`~bwNwOJpIUz{K!~vFu(5c zM}PE3*8xHmKm`mf?`Zn!SHHS`>J_he1><+yS+IWpv++d`OnNd;H#xHGjC;Jmk2Jd= zp~aUUsE#Zef;GB=&8-Pb(5Y@CVXc=7#Qi-uN0yOdI`hNd<~`gx{?5QfX;h!hZnPZR zfkR)#8tQ+oT}f9^fINXdgkviFY8vKY{B1=zj@|Bo`qBKZ4I7AFCisp8;?^1 za4rfz^2av~5&;ly`?RTtM_keJ1%(~WFMAJ`8=>?9s z8V!JTi)VLrNydl1=sQ$_dOVE^X*7T9lr z7itTz`tPR~dJ9PS{?HHo(7HCN?Q#0_>GZz$y)XU6U;M?r0T2$DJKb{1RG3z8oKN+| zXV@Q`>0%$tL4c*w8q5S%bVUff7W;n{V9Y_TVPDB$FtR*?3-K*u?xdsqc+I0%vpcfm z&FlWYd5q7GV`f-hS_LEQ#!S#8g0`mSGt9#bX(h*F{<-qbF!-j5onWtqS7( zJZmjixrZovq2XGQ1^}$n3a&^j!!@KuzLRQ)Wmg{n2PiZcW6LavrTc>()^-ZU3IHLY zB?|zfJ?5JJB_WI^0sh7@uVo0OE*hJSNwg|~{gz7*N+KydT?8m95ED_$&R|ygYhzRZ z5<7skMXZy2CZwd?4-y!kF79u7fKFY?Ra(Ve1HNC&3zTmOhzg)WFt56Ttsn$X4~^RH zJg)yB%1iv#9n2b^dFpi@BK85awaQ}%&<1U3YzdjNI(gK&-(d7wmd=s?VHif;UbJEA zCU65Y10lEqAvekIJgEt*2Cf0@wKlp4V5#4Dg$EaS_y0UF7vN#Ip5Q)XWfaMCD;Ilt z-X7;BkB7zJjmG%^btfzH;cj#luy7fv@N(;FfQJH#Rm>%HOL{x057D^R#T_V;`4-l- zHO5Q{)UM0>ItlA1EZ_>5;uOorV6^9m19%-_EaQqcfz-#!l-UD;oTnZjVz)=^Hpb4Z zZb<0YDZ7_A2Nhh13Uu=`h*Vvi&cI*@PVOeHO&&P|LJ1KkvZb$)nGYdt4V3^6AosdPn^?shNO`t~>>}+zYpu zmRSz&TPI!uNch#%o_;W`UA{=1jZ5rb%=cNCZe=*+DNh{h!SH*ByCC1lz3zEFJ{#MW z&vU)Z(i-3(<+`Ip-sU3+8WxFU)YWpl)WWQ*n&J3}ZCb7^ycmgZJjS39{ zj?*WREnMY;Qm~e00*5yq1tfgQt@#eW<9_`fu2-q2V}#{98KT#*V?XD8twrIuWMA4w z0s1mb0(|2+Nk>Vs=y&e%dL+lj;FC{V-+MdBp%uw5e4?!RNyn()2k(xbyvK6+KJV4l zXp9re4{3+S`QRB2d9sXge_sCl!VBcsL@@t{fB1(CAKmX_dq|bcjGjWUH;#=PGmTjLI&F?Dlu5E)nz5L}b&%bVZ zJay_6;lL&^ykU@$j59b6Abjkx$JX<(ZSS=-9d0G%Nu0dQ8z$GV7n3#J+mW<}$kaYJ!ZoWXnY`?EU- z_YeQzyP*%xLrb6rmkz+nRjkD&+rEzPdtrETXrrA6T?ypX?#LjsHxef_8LAT6i=R1O?YlenEM zN@oKc9WWFF8WFnvl(+L-6<%v?#6rs~>^IBiKl@0a_ZYO6fZNmLp#ow%H!(x^g8V`0j*Po zFS4vv1pce=l~-{w`2U@FfV@iS!A0mmK!r5`!m#8-%R}J#0(|3jo;4oiQ9e)8j{ZJH zy@vr*UjMA6%*%^0>ER9O4?VxwzR`D-!gihj5UHXNTcfN!#)zzzN|h>qIu43%M4Khr z&{&TdaKR{|&9+jS-7K52=kvAIPE+u)*NHw3aMXMOge<%92R%le^7rrcd-o{608SZq z(f0Jgx=YZV=1;pCmL)(w=5k>ILc})Ue0bhs{6=32{ze}_oaG5QNwk$bfxI;Gkb5}^ zq^T5cTbUx>Ci7C4#0h?*hh=j@K|qkTsB9=Kx?L%Dk;t#Wx)-qv^?W7hc$*#r+=s#i zE^CU%u<{&~{gx6jPWy|?VNF=13_aG%!sCyn(u-dTpN3*H{I4EM_S1d~?6<&v3vAW` zn~;v1-M)YR`Pu@lfyI;>mEZMU-<96>wzsjrZ`|OYQ%zDga+8Dy0MP2n<+QwVA+6Sz zvA`loFB@X736lfEpzrTB(6kEsepiAPU_m#ZrT_;A41t_PzTFQl2XoLl1r zge&A8m?CpG4=oXiv)Jjk$d7k%PMR$&yEqmE9c6O3UqWBEt1^)lh{ZmFr+zcDCKP9x zUWJLAC+E>hQl=v9s@uE<)>&%=@mZN7UnFz7I4$U>ZA>b`mAQz})`;h7hu`N;>< zQu89fAnzp5RF^hu5a(|VD>Yq^nhKa5l#w8oX#X<(pmm|HG_#%-Oon)*-~4m|$c@3- z!ADzHKW*_m)^b=YPS+0O<`m+PwlqdxxpEAv)tLZa8wd%eX)}kM%-|{naT!LKCX6u~ zBeD#TiM?SL%fX87d;xq{8Cw;A_ztc|bx}KkfI{Y1CVMxj-vAI^0tf^&7Pu_Iq=H(e z;sSL6D5lWkv*UbN5>B*v_enJ8s%a97!?nYUsk%|-zTx>P%BUbkVL_8g| zBA}|{w}JrYK1;d^?l88dCLf|6m2`6Uq4YTZA0L{=x|j7+x4M(ez3Cmc$Nf-!*V8AM zr@DN430js~2EQ5$Km}sAn~XbXj2nTm9v1jvMHo!v?dEuYJ=Y_~g$g@G>Kt(|hSuxR zn&?*4B!HuP$jzp5cGuu9>qu+vn=<#ZdIA9cTW{q|%`WQvcusV>7l+f`YnJ6)3DV4RrO zUL?yL?}#t_@Esl~Uw-tu{R$ZnWs0rZF~|*Ut8s0;oY`Yh_dJimsr&LE-73&$ob!MB zr+-56eLDTtZ~fNTx_GZ~@ILgR52b6m&l;27^{#iNAN;`|Oh5ngKmV)(g_iA0U;5H| ziN5~pzkdDuW?ytQny1USr`MA2;fEj2PwnU^Z}yA7_=`!P(9h}9r?-7h#VIQzEL zTS^BzkHU9dD4ZU*xtL5@z3ZOOn8difwyr=*^lo^A9n@z0g3@uTD<`kHn zqrO+i#JaRBd7gvpg1=Q^lPK;1xEV^qT@`01^CKcMs@qvyk zd#_-Zd}TI1e9zd#7;3>6`qA2OmO88;Trbiubu4sF;6`wU7n2<>`%%7xr@&7OKqhhS z8LO7*5-wYR&xEU?pH@FsZ5T5TlpV`kd0w^xtvwyS->;r@s9Q?MO{2zMUEJB6d` zwQ`|Ykk|vl*>XLLNv!|I-N5JP?kMcTh*zXkSN;04kG8KwOK zsqB6=H*W!f!SDEv?+8o6=SmZI^U^_U41gQmnYHQ*Saw}aH(FSlt=_|ptor#@2D65wDF2~~rbhikePorD#~ z1)A1~TP0&W`qD1tY-^oJ5`cgOB~}YglQ8@(Beo&^Bk^8zYMW;n!xQ}KKo3#o;YkUXv$I` zkK0KCg$Jh}O7l}EiMP0rR$AB4W<_dVF5=_+Ua1uXt z6_~S%<|rid6(pRl9RVoZs6p06yRAjtI{>F0>Q|!90*)Eu=rDCGS8#JX18zq@PcOlbMV+am|}GP~?4iFVj32@vKW4qM5#NkB)dx#kr>!qUsp!hJl}_=(Cj6l!iD2x5LufSkoT zxkYwtLvFF|g@o#j+m(+6ut>25j09u+?V4g44cjERce^P7ALL28x>R=CY4HNJe_FV9 zt^*FTv)9YGPG#IQ5(*KmbE$CkY`jjPbBT}E3$EXOv>>k_pqMy1omMX)gggUCNOQOU zE2V=kr>vHj_o%nC%@%#TReDyR%lpgzh;^QW^h#*NydpW#RPf{ADvsp+NTVT z3?v*PyP}_m%Dem0J@-#s$0f5KOY}~Xr`Ny!_4(HgM_pn50NOw$zrYXtz=jxq8*Ui< zSYsdmo!|ML^f!O=H|a0`@-LIFJfDs9^wUqX45G+1NIL=gj2Ad;$#>?=nOy^fvk3IQ zr;_zONKCPpz3gS_017tGMN;7} zPc>*3fjt2t_j&mM>D3$rk>`mxefa}h91BdwQXj=Z-0x3xF9MSMSDNZR1wG0BPOR<% z6O>>H@NK%hOa%v_v5n*A_(Zp%kgbo7QwHxQ!;gW2o%qUgvQbAe4^RJ*OaQ zSPt@At2!;;Oj;=VRq)3))m>=4&`C#ba?^3&xIgk-IWU+jxq6@OL|s`0169WK`^wB5 z-ewTMvw(ZuIE57e8ABQjC;L;**JQg6CjmA=;2S)rmE#%Ki&^qHPkvesuDUt!OpSYN zJ5(kk9(t8V6JXtKnqnRZX4awin$pMg%K;iWQ-0-D!EfqGrGVw7;VRY`pT%%xsuJhZ zlH{EN0*aroU`qZI7o9sGi zJxE*I4(st2^Py?8IEiv_OM(koP9(;4w2||}`Mn3c)vn8aI}bz~u{I$S!|DJK&U&zD z0zgyQl;-h{a)(JJQUN*LlqReQ`^Z-cT83|x;0<(58lbD=(RQY7!@85T+kM)kf{dVM zfjJP8M&=(Xn_Q>=xJ4^Ll{j&?fLx^>mV$s+u(U<5n<(pvqV1o_II=Gk{OJ~z1 zq$lmh)l_RY(-M-g8Da|*kggN~zKlIk#Y8UnNI)yC2HV8;!x%2p7LN@1J~(>Fw%eO0 z@@x4qzcPBC=e-A#Vqg&{E0eJ^GGba0u0O+<^7;>-Vk76e_Xw~QDWh&i*UHBDyGh(h zfP;TfHj!g-p|iRfvu@;9!Mz z>+!osV-+Ci%fxC>3u(22l@WAa8>^x&ZYDX;TO+?NjS&^?KLS|%Q0 zXf5@LZ)fbP4sI#&yIM5H#00_T51^GkxMW9`9I)&TjMM~z+5|Fbu7bKK_T-RjtH0tQ~g)v1=TbzJ1)7dWh7r?57ifDvsj5%Unu&>sDR8`Sm0 z7}LdQq0H#Uaxju}h&;+y02dceV?7MGP(%}U?M1}-x|I4e8-Z1sU9ASyur(Q%b2~Sq zZCrB}0(_lGHOv!vV?2Am{OKbEYpvnF7RyIg$W)tnFg?{EmJ4J11VRfnaJ#g}6O3^` z4h%>j@jhxpNX#-4Ou&03mb!!==f#OS1c6}PegnWAL8<$h9 zagMd&2!h4U*R*&I3nsXJY|>!+v6mGGR*X*l0G8mtJz^A`-N$~b>(L!;eDRW@KW>&4 z1h5SRTLoUo9#gGcK}Vs^8iqTx8dl=$`OD=aL6;O&QkkOC?2-Np>+lXSc00sFVUJ8$ z`}VPZ4e*jOD@=thJ9+(&|M#0X)c~gJnoyNnMcmu!XYpuY;Y&URptTWZdBf zLJ-}HsYvANC#@jarGUN6!st4nkWay~mc;IRx!`xGrhEPsxdwY0ANoFIl0iH08r#&A zAG2Qps5!3eN5_kobBnyNDCBuTw;+Jbi+0M}YLG?t5ZB`2{J4H`cVB#b(?sC}Ev4V0 zp8Tc@g072k$=DMBv>yH@EHH76v%ZYy%-Cl<-ls{6!8g6>O#w6wSD~&KhB4`%a3a7udt{zL?V8C3F7+ANWA}tH1iI;3e|=JRU=sD0url-}61J9SqD} zrrYHQhu-X z{x--0#W=j6wDF)Z)j7*LKE(&+ASNahEJr=V)KILPOO4_|lvfX9<2Da1Du_76dOt^~ zi3~_IL+fHm2gQva*HDH%i*lYnrVv~|h~T%8l_No6?WGwMCV{8W_7!9lMJ#K?1MO=y@5LpBIFx^GOnKy8u23X|(9lM3qO zsl>Z1cLiP{06>bOg6bkb_ayvRnd>G2M4W%Dr_Ajo&kg$7{b@8Eh949ld=de;^!!%= zkgT6~3LM-0j!&%xGxwOIIqdxRG+)4n66@;wQhk}A8`_^`_ zEVirj!@b@1vX8aE>{AxQfOyUjD7ImM#pI!7u00#qVw_~L+;0G?IK~7E=K-1~1&b)l z1jiXH%EpaTve}RRwwrN5FAh#jRb&r4$wn zs9$402;+hFXZYh(1E1{?I!2e5o9jn4>* z$&$n-&dYT%svA#U8TWvHkZ^e;aLKiZQ3%Z`2xr_uutBatlR*#{G%ZA9lbt+DAQNYu z8kiYQBJDC?N%ZM%CbSDajC*wFDXn8!iddWJic;`Tf?on#F4X#WVD@aA66Z^pPt*Vi zEC;5Ulm*MdD%wkA)P@jg<0^C~sRR(K3)MyqqS|LUt|uF4khGAP=}u!%0ntO?ol?7u zwHomnYA{{Ik*pGcr`5WWiW6#vj$fW+Xyyl&go1)HL2Zbe5(K>9phC?9J0y;~#Eg*O zRV#Gz5^=7`clPP0(()rO=KDrXR;wVB_cF8;pMnutz}?k61l(mABQ#0JLz;QbcX!mP za2hvy)3r>4t%vlwO{~o}?pn1b>@g0aS7GRcpfg}l%M-^x)`Lih!*Wp5gdHTc|N3a$ zszDdR9@>AiRMRynzR@Nsv#D8KK@bi>J%cc*PPujg5cXDxXLth*H-z8aW!?wCSD3{8 z>|{m^_qs&iY%B+eD{#1NVgi+BTWM;dla{U`*tr2{bA`B>M`)i*0JumV`UfGBhmzXH z3QE*M_2}3c8o5JvGFL$vbeCJJ0Swa40)+Ql5*!o~n83YZg#ceGSbuhVtLZSzv=+Hv z4`cm#v~pj<7(av1_9+;ZI%7juzRw0gu$S%W+VC`ttNp13upoz)gL?%IMp<3(6$-1^ zf)FHJ$>?5ZhwIN?*7w=UtB*jhhk``$2uvsSEDR|Y>8i60-sLd|W?aT~jp;d?OAEct zQfmQ$*>(0rWE@({u}#GOS)O6fJn$m+hH3VzX8`_j8Qr`b?m9~)6eyUJ{Y|V1SvCWZ z(W1|-$oE?gQ^yIHrO*(5Dc!MaI`#$!o?hfPc_?&Rf>?V zQ0ON(m?y=AS~KXr&)8PONrfAg1r)j+WS zP{USu`ME#;^FL1?``E|wpF2J-VrBAj-R>R8*?zt=e6o9?{M9p$MQM{ z2*=g^cFVKbbN~9U|C&Dg+0U+D)?3WDG|Y2pMI-=l`d)NECA$ta{VxPChT{c;wbs=Bh29^&&P=a#6i zNgCbt+0YSVml#gw?ldivV9P8T7b=GMy}{-tV5Ez6!IeC@73jiog1UHCn#udEzaAL2 z0|*6&Oaf3^?*(sSPW+yP7VB|rVMSABEf@4uQBw=T5XSo!J8US~rzYw1Jnx~)@%0*D znB}wVk3+B8_qvo7$Pyfyrry%^BUz7Tv+Zx=@%g!qQk3;r9C(Z=^1eyhP`?JE@Z-kOENGDiy(plnHxiY5jmMbxvSZ#dOREcH=E|BLb#<$iW1F^<$Cf{< zED?r;wq0ri#?p?CFZ1yCb>tWGc#6@zY?JZz&;Y2C$CJ0w(~#qN%fujY|BvK=^5Z)= z4lCXc?zp!O&Qr@v+XX?f+W}AeMq`?fiLn}a`P=V~O=-f3Y;ARb*e(Uyy61J~MszG~ zeP1QlYxo(o_yT}VuCZ9jYjqc(r@Y-ARwxuGX+Oa}Em1?x!aBH~X!{;sw4xmJUmw@f z@>%w0xH&a+1u~|Luv~v?$6pG@RXlPmtOfh@mx`_OsJcn+1BmuebPDBt=#nC3=_1=I z!q*m#9nZ$nj^DI@<9-Y5x4`qI1-98OpD)$iugCMD1+Mllr!&N6OKaDOL&OKc*(83$ ziV`S-B8s&D2?X0rZt6|U?sUm1NSJ%d2ZsnS&g+tYo2B9F!}pDzH@_fL+012d1O+4h zAV+DmEFPiE5<*T2R|K_`3G}ImDM*gFTSIa1X$p0TQCc+Q4GU>wT{2 z=1~nv-IJEJz~b><5hBm56@?dR0q(%k3fUx9VM?W7 zwgCvb6*Jjcs;yBb^3`&%DM&c<3O;HT7|1<^A%|)v;Y#XD z3_~byM~F^W4+T(JoSH@Ozl5;90bQ-uFumZQ-zN0{1iQKwMZhaiSYQwr=MjFZt~y9+ zvGyU>bycH~Dvl%Whw^)ekG4~34(;zMfa+y5VXqxb<%4LmdJ}`Of9UG^?NcEjL7SE_ zaE-Afvpg>Lp7UF9t%wl1QksRvKN5Yip3!~qMQhX68kS7BMJ-W}>B&dZ<7nf~;FiSt z8(ULh#%m58O#i{Sb}Sov^CA|yGUtzQ{dNTy&t~%|rn6##GRcA9c4Ao^bi=L6i> z>#`KFJeHwS^RoZU+012&jMeinsa@T_dNqr^h@h-^6j!@2u4{`oK|rf5z@hs@6EdD~ z7wSFAF4TFbX=FLFOyCe8@)1aEvCRvZR8U54!@F15n@m~^_E1oms6Uz7lURs%SbK1p zTWw&?Q8|FiGBO@gED2DM{U*x8(iE;IN8W3`Eaeo6@=<1Gl9pMZE!;eEK4ib%I3{&K za@svz5Az`FM3;&eu==Zjl$H=?b!zU5Xyi^(fQf^tGjjsrG_HpFxN*kKb3wTZ76oVx z#U8Dj@E%t6#-!_^$ODu|-Z1Ul*e|e-vG13vuAOtZRmM#z4O<5wo1Ming+Rj!23IIc zPwVO$v;?jb8pLGQs-js#JAW1d+RQ+hGp0WIDTUAqdbJ*LT~LUqYj5{IKUy6>h~mIe zlu5=kX`aoFkGfOpo+Bpl<&`wGgf_R{4QLiYJ}}h)Y-yELYPcHn4S(&@PchEuKLwP% zx`N?J_MvI|guRIvkGi~yJR}e{E2#ZXbH(+o?&Frtl8;fa^>@%jo2UFf-^+Kc1|4J4 zXpT{VLHpnFtB#LgA)XAQ9*{owW%{|F`?;~;pp_X0+VaZ%!Y}+n{&m+!U5)<9pZrPs z?(hEYT|c{<2ZqbNSxmoi`BjI6sJidGo9WD%GwHqWeee1!v>X)p8<&OwLcO_|^iHAD zW*$57i6@>&|NYmCZBz?qcB; zl@|P`#a1>k<^O!br~UML#B(lONC!HP!FS;%x^x`C@DQ;LzrycYS}s167E2Ftj`f`D zuDkM5Uqp!eswi)^pqBp@RRUxAhv>yjJm+zd_#aSt_*T z7N&W=w|hK*rx-!aI)eQLz*<2tUm*NZhS+PeHO{z_qvZ5b5R$pGrY(48%+Xodf{<= zNHbfGCV-`50JY6@lyla1n(KlImP)w=T^y6Z1GmJx1abvI<^Qz$EAvd5vRucSv&(p$ z#?_%^m4>KLUfukgEU$pBV>0t>kXa2{mpu8+HZxBA47^|!dh;lXKy?-I(56woFog_7 z@bw(yY?*Oz0c%5Dxe7=M5E^nMcRwr5^1#4bO8$=ZBlT6;Hr~$rf)LEh5*1&+bIUJ+ z)3)mx^)im9)}@egv8I@}Sw@fW$G%Z6<67ld)hbw!b#!iS`9d$!pONT?0P?b5JO9hL z2}?R%Q91@Kqyve*)zzx}cqSKEN(JY$eds;04{)UY3-af?Xs4YQ?rz=5DgzH3ZO6C` zH?jw?-gX=~zo|FzO0wfNYu~md6cDs+84HPdp}SF2A6KG1+^!?!2sfkxgN}_NV>G!g zGJp0YF%Jp=pMBodU%;A?*n_%OE#fgNfJ-bFd+>I~mM`FLRPSR2?k$`;Md%C}w*9o< z0{boSLTZ6*mwqADc)zaqWeYSBw*41Ez!uRiGB9Hh?+>;m%5wHlTo-SDU=+ZN+0A|ImlZrh$dx2qEBN>4(PpWIAd|e+j8xjT!=&{f9@SD4mykZ! zm?E>GG~k;9IIR(nsRi&@#R@z`TIg+||^&0mHs{lC#b*5*p|I z12_B@No&-06H8hcYBh1kSrN9|!~;MQJ%LNkBFMo+4T1lCmKrTwU^3q)DSMgNl=Z>^ zV)d-z>S!|RtcI;g!O;H(O#8|pwvw)ho?^Tkd-FJ8z;PJtov#khZX@ZQ=q#G*E&9=N z=32wA#xhd(Q+F$s2>jk%{W6-TFjjztB?KZMHh1fF&sn~LgMFFGlguX>=3@_}#mA8= z0O$#32mzf zeXFyt#MRU#6ceyWAf9a*x}d}yEu&!4!R2Thm&zSB;jkVQL;`TbjX=DM$waW3-t0MGe z-)N(q+pQ5#khk~P?>bG^LFkx5jrN?PjA#Y*v8ZQ~0v2JLGJ(CFJfHNEsi;5Z~LbwSXcfa0F-u&h_r`Nvrwdr%8`&|0X-~3ICR9JLI(kJm)a<>7(Ve7x! z1qgGXZKU{n@>46ncfRwTX?dCXMbc&H```cmG_7!bOd19Vy=-hqtpl}=98S7c{on^b znEvhG{w+?QKYu=b^rIh5Z-4vShi|*<-=*E0X3}mEN1DZ5upytWDh_H9IN5m`#Y(IO z!EAXsxqVE-ka>LHjTn3!w7V9_x{cm0>-|#2iWH?K@T7$n32A3vUoymiz%b ziXLECNCX>wN1r%`Wi$ZF0Fkx+0%xc22y+BW_(N<d=TZ&qiL;p zApPgzqv?NNy^#&n6*J1CKdxKz@K+q*XV)rjyn=ZqX zxtr@c)#pbx?mYWl9j7Sk1lDlZ2G)aDN8QM~m&M*_JaZIzslWSx?djMwSu=q#0nbJD zQ)$&HcuzsPudx5Ug8Dy(lFZ9FZU+u2(-0gL9M|G=0VLQx+Oa7hC@`73d-dJJNnr3g z?-a0eY=p(#fGE-m(lSn#X3{)hM#b_ zp7lqdZi{KibP=KRa&x*alj+UZtP}2e4?=7ij+1C0>(a|%_Ht1fb_GTD3UajN`NfF(Mi%s@)kq7 zg5!&&YgFsRniz2tS%(4~^=<)B=1C;hnLBm4X`K2V>u-TEx(1WeuFs=vd4+aGxte{U z)WvcgrM{xPBZ>m+u>rCY?9E^0C-5PCyaW}Xy_FvpQPL=IP7B2n?a)I87I6yMZwko7 z3Xc>2T}4oNzM=WHHwD_yWxoaXTi{-80jb&jwBG{vd<%Tx(!Zs1sPh+A9!1vGNBa^& z3~Qr48kiFZeROXrD5$&$nVQP@5VcBOGJ;GYpoDD5lcaI@K1{25*T|{$-XO2NBj3OUO$tOq$40w@2F3R(lkb}WdPy~((Px*E;&BYB?3aV7?F$vIT#b(toE znQ5lFmHTmz)|DiJQD(0`^ULII{ms7%g(=XcR;J{+R8tV3{83X)CPpH)?GZ*ID>E9R zST?TFo^1$|a4~72camt|Nn$O@JGQFCy_f*P9Hw%~!*|*Yf`fKR4T4h_rY$ThYSDKH zTA}0%2utBeAf$EEhV>T$-wKS17KP)IjEEYWGC309S`Nzm?8<^rCIX_#I(HxrTWDC# zoJE*`7F7pAZ3?%eZ5Z1;^&o)P5SG+nw#yJxHJFZz5aVjY+Bb)}em8-Lyc~OelmM17 zaA5C{xtOgTgD+Uc$_Go06@tfO>QioF*|G&d*l(jMh~U35(UjHC$~>pfyW8v+DjyUEHI#S_sG{jvnaDXBz(K8?|&9D?<3^#Q#^bKP>c9E#~)4$kFx$UJsW_2 zgh~ypMi8(fpyu$P*#!*)JVZvVHDD7Eh-sPX=io_?bB$>jz~TTL)M`*b&}VY6Uu@!8(boS;CsZkfpMC|!j0(aq_Pdn@ z_U-9wv{xam9Jz=EfbN10q=`c(5kO9)xo(9$ntC-^(-v6ZRa~Bfa=F4sJ&6;%&)>JC zn?fc9tqR-}uK797I&dE0iWa(BX}A}kRcQtxh?d3*0yj$$Qw70DAHjrzCqY2nka@m$ z5gKn9aXa!F=^o?AwsEhj(54GessOpm-cf|e2{9uyOVQxW3Wc!%Dh~EA1w_UI>vSh+ zHCzR9ZK^=b%I+L=&SAj9gByxBAQOXJbPJ4qFun|K8~#50WWKC;J^$`kzMJPQ%Z~SX zKHokD_fgHvT9U4CtZF$ajjE6<<^k>DoQU%`w7&x4!ijAa66* zqKD9WH@@J*4?i3g|Gw}0zOaV-&hPxrG#n4mi=Y1Vr{kT1Vs|U$%7^B^8@hS;-r?_i zSx!Ma!9hX7JiY5(?@F(F)vNNKw;WGlE%3Ep`?cx9g$wC5uX#;+_q*R6pyKF_#!&q5 zhd&&yT>tYw|1&QC{_p>O`u1=C_Vn_XzkKxeyY^dNO8P}mP=HV&Jzrz`!bzps&XWLx zmjDJY0ur7DEYy{#^rXBZw0!Y!94kGPEpRoei&3>(aI8t0Gk(h{JDN70LphVRT`R&I zB-G`o`3oHu*eB$=JOY_<1_cKG&2*jt4!oAyCE^lxXK{sj9+2=9ycmiRfRuX0siV~J z#Y1!He=aoBGjr8+ae$hSk%P8c14e_xb!;s#& zho9Gd=Vrj5fZ$c`bszV;v_pV-Y*N$kK!S34oJvIp9W0mHAX#|0bpdZ6{-OW9wnr=AaNZ@t9G9~@)sX{D$#q2Ut@sUQHSB3D?-Ss7$Zj?LJJ z{q1BMNm|L8f1S0*+^MZkl2|ZaDmL#s{?X(5mH~QMW z_$>e||G~76#*d?=wb;^3&{8-YiQl)p&w2|C($9V9@`C)DL|2}uYoGBFaTe`g>E=60 z%qPd!+7;wmDy8?Iglt6~*Z`yOLElCL-+uyVnJ_=w_yq_R7f9=QCja=jAJgzTe`h&m-=I6P$oKq2>(5P12V4|>j6gri9hixto|J%BafiP{Lifc>&ES!pOA-UK5g=mt{+Em7vY z?m{P^?@U?)X3Cyu$I?DUv_~VJAJ1BMN(JKwli+=2@|Whrs;Y|SeS6TJaoZ05Og6P# zgm##Qm;xBAPum)|CSDV%0w>eqzST+UZuKG7OT-ZB;VL#Hvba|(z!-P17?tU4;XclI zY2(rggq>Cm(sXLyt3ZhD2LT2_71oI=rZoKc3On?lLNn(EosRWa&tI;|Z zFv)ltVbMa}4{Tol?sbIb5XHtEEMWOkBxc}NN$XDMi{QTu&~DO<0A~09XYWm8u z4+uo~KwcpMVh>7y7qKM~S!R-%@r*s*d+)C9+TZKCPn~vkyKT28_KZ#Z*wuCFEYEhH z<-YIVy_}6$iCfK=u{Of>=qfHY041|aC)4ne7tJ{MOoiNitO#3-$2QD>u~uYWb<4Sp zrBaEu)@z61k>+k{)p|SidoAy6Z=dD0R>ShK(KwzK2Q3)nZdea0pb+reFCAyR&oZt* ziS?k`y@z4C&mzeGEWf9j4_Xv@{q;&R+`4i|GvJIC;So)id#Yf;8Y=@8(`;fK=NmAL@?+80^6S-$I>uA_*$ zcj?sg06)_>S0~_Wg6jrRGY_b z_d@`nXy&5yqATS{?A=2^t`Qc5R1#2-=XI~FOV9(RHbTO6gBR1>)N3X1|I`K;>@QI# z`c)xPy?+LUfD@_SID%EUf^+J>L5tVt%kxpUA*}@ z!A0ktmJe$8zf9bx^Q;ZV_EhMmB7wlX?$TT{ilhtC(Z!2lHKA`H@)nFIh-D9BW^7Ct??8YoddaPdtm$@Tv_VhN0=}VmDqY4yu9aPlSYmi0;QgZl z!Xr>PXlgeR#&4x#2+45^ybm4bo)aIwc9Q4vVUu6;*vb^=Ccnqe?_|w2x-ge9dY`}f znoJ6_qAj$C>IOMv`}{a(w1(9UsafA|NjH>x(-TiTk&H9=%rnpIy_Ejyum0+~bDsF& zAO7JTaIm=HEpK^C(tYW>-u15HRD3VvM(e-+>%Y>Me(9I)I)5jBG!&|hQ%7Or0aM|= z)7x)k&3C}8_Py_Osnf zkF8&3t!So=1(cH9Tr)P!y&Eqz5@?t)mKGLpQ-Df!`Y8Y$!2tHibu38_t*y{An`r~y zx@mvFv`Rk>;8)S!fX@LCqlNz7LhDB>J?rE@cITigC*#HIVdF3gDZQ0#w$4^MgZG9G z`#|U6M^Z+4vrF_ddCXtEoVp66;lZ}pFHH8NapVh69$Ep;5;i02Urp=8>KzO=08IeJ z0OPh%eqF};roz6~XW=Zdr)bA1{3-*ib$N+JwFh5YH?V7wkQ-1Dlug*DGy0CUT$kiW z2kX3(&2(g$cwF#z%ZG5Kj#cT^Ci^&^QgV}T-Z%FQU7#sHgRd6Y=~I3mBBsn9-A3`X ziVK2_GD|4hWq3DmKb7YYv=RudLn8_jKD)M=o}MMfJ;0Tq)!yX&#szo(y~289Kl$wO z25p?!Yxh1Edo_TFiawSjpKJ&Ltp%n3^LM%XscmSz3gbjqs&)9YJ4>_wz7q*UD1MOO=@}Let702%ul2FQ1~nAC_OB&XMTroEN5d93wn$(tW7wjc#pq z!ziepgP6=|iB^)eu)PAK&Ov+FckahJ`7yVh56=nm7IC4ilirC;=2fGQnw;y=PfJiO zO~GL5*@Vv9NnDQ%Jz;$hl4wVOgMPbz(Qo0>QV^*~lo?iamgRouI1^kGG}FpjH<&zI zg5P>A6JGuCqCu6Zp8SWr!cL<3bbZi_#zZIT$Zov=+o^JbeGK@$1BQCONc4Fm3K+50 z9I!`=r}zCH4B$UlZ-=g_C=Xb1$5RicN8ZI{C!<|@EV-L0yhQm9-5Xc~hRU<>g0nMj zSf?}QzdWDrPjxAq5jJD+?59)t$)|Ydtep?igC2O$1OKagU}AUqU)|0Jjk^bWK*sS_ z%;SeY{NeP|KmF6YYWs=B&)}|mGhN440J`0T3Uf^CHGze<_i8aEvv)vySx5qq$M zpi$$$jTy9}Acps*GTMJ-f>`*D1mp(fFYjrxO~RJO*c<3>6sAdy)FIXw1L8Q@Uju}z zT5e4y86=5u<0i=PHf;~*WRhesuW6i4KDGN;hQy@%&?;J+B^a5Cf@O%I3QUAVZwJ>4 zH5oF9-zox5!9iVK8koBRlhNb&2yPh8(BsBaQ2S4JIfYx9-6h_`zho|oL>ms8T6L^3 z6vS8CXnAg=tqo$_jppNh?#;uvgSq7(@6s_mtHg8fU3-2Pb#abO)^X2m`~9p|&`_@7 zPJ@db>bTK-KFw~t39A_a4ra(Q!r^f|Lf!JL@nNVkjymDGXdaEf4xodahk|wmAFbx2 z`xSLhpWE(S1k~6>5cx#3q1<>fU1@hhps(v1fwY^w2Cac~IjTFOXUD+cB6CCcg3t5Y z>oWGbH5yOryWSrPIn{RYDxCmQp-N>Mb;FAG6|e}CBr>hX(Ja1Mx_ztRt}?J19MMaBP!di&SOoFQc1LphOwro5Fz1_ zHR(&O2SZZ{p;(J`2+f|!*sDcb_xpC=3s-vVeW4JebOcbZu|1n+5rPhSQ)#XH*|aji znhsZWL$vNw`68BR4^w{tNrxeQTtmdp)*b)q*_Bs;3D_x-b=7vfZiNjAGG8>#V<9HwLVoleTen_XcYvQ zXN(VM49k%MV)8}S8uyfNCt9C|o`A;75KQ%PB^%S3jNJ-ozTt;*5ZP+wRU<$0KmZIy zgeac&Q?}MHl@cyTN4UYpWU`N7rpq4H;{7&D7gHO^vjb2VDQ|jy?DFC7$#XY4F7EZ) zy7)a#amaI=j=UTeF|fwhC-c|pHbBC$u*AR*5{9??FokFOPv-w)qs&YZcfnkoYB z2M#{}{PW4ren~KDzvOxOhDmEV?>l?;>|F&2TN8q^NziYOOy!TE6gdh3HN78%V z^B&e*1`J6HO5KFM;~npqtil~RK7IOh#3%gpr#~I}-RQmTSJF=DLJoXN`E&s}g!G%$-R)z8y>@_ev;Yo!v@@1Z{v9VMJC}n0?nQ<@C2&p5A z5u>Z@Nzls1qUG6v>ls$mR{;kb>vL(P!CnK+bqbJd_9`*hr(0>W>DoTS`6GN^6YdLj zOu@f284IrE8wm4VYXwSYas4^7em?baZ{0*oG@D`lhZoEcT9?^Z1l>#mZ?<*7JzbSK z_u=te&{ROH0>;g5qF{-2{1DLUDi-ne`Y63{X~@1wnuX`n%5jN3vd4Hi zuTuio;kcUrG4`-lTkkNGoG3m^JXSIM|rT@c~EBCayUpMR0WF~1Mfk>5;_p^kIn z;+LwlBxNYu(mRq?gj<}4VjhF{fRfB5fkUk(qyK!d5<({Oxn+`e49h{*D`XzhUv!!e z?|#&Li#hK-UZxLA^pT)qJS&Yz9bc;?9v|Q!Me2b>x(Ea2s3x@y8VO7<2_ovvM9(F` zTNF)WPDi*M>L1`|(EAz``1Cjh!pO1no4zg{EiS*B?>@1{M=HgQ;8iQ|BgFO_O)a2I zpn@{>XNf{ovBOKfnlcXhObK_%0)T0CjeP^2q=-vcWWc*F;aW692|j?rb669eJedZc zc`lWoc=CT`2#uoY556Dtz=Ixezj=@z^uRsd1M9f(SX_Al00PZ@7@_|93`8r8$cDln z2yuuPwGcxn!v-H9T~G;H&e1q7E<7OkR!ezjk4QY=|6o{U-kmir8m& zo%it_NfC7|P%%y`A5;XHr@T%%V=Ax*F@qUk2C*mc>F*AR;BZW^2oCz>0HUZ5z=yms zCbGJ(4erMg>kgl9ZMLAD+bRB;_6@OV&wP;gM|!7lLx zbt}5vBp#m@3Hzj$v5=@s6_8LjVR>uw8}oNY6%k$bz)U@8+e}Va;R4yT_;gXcdBNO&BVi5IZe!UC1JSqEa;U$=_ipkUU+kw7PF zY5By-&>-&3pHAI#rL?_-5NHb!>BxFoAzo~E8HEWf>mqi`M0SHs1f1KfsarE?OGS|l z=9?P!S5WI^7b>$i)DTY298t7td`rIBwv=Bur)Bkb|t@+^{daeXm{ z;eb6xT4PkBJ*+1gE{8*?Lf`Z_?ozh#4=0n>X(L>nxh^Tt>qD=M(3Ba}EgO4>5I(Ty zXaTG2h4#8@xl3vlZwwx~CysN=3hpJJ!cCa>mWfrU07DDKtr@Howojv^@&aHX)_Mq^ z696VbVj(I{(U)p@(<;`+wFLk&K*Ht*0(Ra>zqy#Y7XZ@g?bN{SbAy5p;x1cE_Y_*l zn+O>$0FYj04OmtipY@``*x6uzeGJRK@}(=`&d3;+VJ#SL!e{|PIX~_OCEe6g)v_Pn zdriqOf}YGZAF4&`!Vv)9P$4g`DP&?i=qt1D?8Ds&*Wp;>^!ON?xe7?k>W)DCJb5uD z1qw?F=dWTz^9bW)LNnS5naFqFJ<;<;ipm#1Ccdp(k&maXpTmo`?WD=;oTLi_bQcJ; zJqp8E-txBXxpyazd-&igLa4nl28|{lsk9Q1x%Bd3 zT|T~)=DQctM)^d#Ja{PDe{OmvJ;^+{!WcbH+^ZI@aJz>Okw1`GcR2u;DQNR;0v5{) zny(h3_R|VH;t)`8MExWX+!K4e=RP0zEiJLMm=BPXy~lUU?m@fRSZu%Vpd_fu{Dmec zZNI=d_GB#zU7WdZioQLxfg4cx+6`#SD~D$Aki-5EAS2KEPWkj&cooouAJCz~wE-YY zR)$6mD>lU{MOBDBv2JuE5VbEm3D85&bzNvKQMi-2JQXl`gzY=T-*o`Jqz z?&98mdz}wTs?>FXrXv(dt6PG8w2k+Xf2bGF4j6As#&Lva*`U9+3FlDK_c{naQ@C8HP2LoqiycW$tBlunf;iId^^a}Gqx?T{|sRU7LNzd zqaZBrBEUGJtj8E1a{!lGyxN{M>b6e%JN5}Qn=VByNgz;uLq*HUE&WF2I!={M*w*NW zao^nN{^Gp6l=lmu8oyHhOMv$f^HE+%i{B&kA)e>+bc6mW@{4bjp#{lCYVetmUGU=a zVV$4J|60dlPm}&FXlBaRTi1|xZ5mOJ67y3UW(R=}dgVIYbS4E1|l`42%5K-VQ zloI)7x^aT_$~tQ~C{eDpB;z}#Pmzh=v^l!bmqt53*EC#VZL}QtSCueID0&QMQRraK zi;ssZc|lEwz3*}VA^y2m3?CO2+7R&)^J+xid;c_uIatSXum?D})kGH-25KFK zaKDs6T-9M>%-i1CM9s6_pF%fT+1OhXNfz0@cTB1^xnw^~{{?=t2sc(rqDwhcY zPb{lic|C2Pg873G=s`qfFb_2}!K(OWAE14B3?gfN_D~3Jbpvz%0fh8bP{a0EKBjKe zcYDt(oNu;{0s>qKKyI_U2Ge>W%{5PwWj>IG2%#0U4>uvC7^|fk{f>X!01O%DF*v!k z0pi@4AKom`V z5T*)3I^$1O5&T)dBB?-A0xVP+hXVPy_T_u)Kmj8{7j+NB^bK-j;$w}q;wekPiB|Vv5yQOJ_4bfG zyNm#En)UNx`f}~17gB8*YYd((v7TOGt(YUOV*_pEk{ZeOH+!c-B|3rM)W~zlw=?>! z(otB=H^T8Dp8;_c!XeQ^KOq3b?Pz;+lAG=ATO{)~6}OIm@0>2qbIZ;->%uUSjZNa7$n?EC{)-%mQPS{F!`MQ8@hH|*pKEgdy#M|0PapWe z2X?Zu9>4TUzm%SO>ZzS`cjMsj;j#5CnQtLzdp*(#=*h*U|6wMtunzurfM6vS)UX!E zm1Mt!0-)AmtN^va)z}MIDVb1Creb#Hz+UldV)`DqN%_t(d3&CxE43Vu*6BGIn7dMR zMRHa5tozi6J%PxG#7GsG(52^L)-^2isH?6>`z)yEr?n!irZ;T1(uGC~;H?diwVsY& zMH#H#N^3J%?X%Ch&UcA}*NnAB9uP1P3%6JhRj$EGPJTG?Es4e z(S|aEG}WI<3vEEV=5$(|Ge%=GT|TTr)AgwXAKW8v1^rcdaLj<@+_e(&eU;@;q%SX@e#@mP!3>FwTd>N#(siJJqYRgQ=Y@osiokplHjW`%C)jIKH?|H z<4dXEc^=%xda_BG%dBY`74H(`();XXLGn4?!9hZqh%Z@xc^T<8lR%`_oql^xde9Xj zuJXqtX~39jd@HjF35j!+BVDNKX4klmg2;yfRE-BXOCPr4*(m15e^gB4+3?~(`3br$ zen$-`q)3h_uk$V=uA%dvvZJ0HYsnlI#sY5CGu(yjQIadNx>MgSM^;Okh-&Qu2X~d> zHI_25d+8_vxBv)IWR>O&3sJ|21CwN5=lwpBOT2(_A4IFU=~bi=%8DbsROuy4(?;U7 zj_S-k>p}VE8bw9Nj=TKT6?I#+i`awk&*9wzpftiroH%h^9xC*ulP6QcBaS?waSBH- zzL*mHpdMxJrxY%AQRcGEhB=6LU;}&?tVX2R(2f_rQMp?0wvv2UY*y*aOS$#k2r3Ge8r*#AkcHnz~D9MAjh! zQ3liiNdAT89dgqJ9pVZJOd07*SQomCLs7`2We~_ai~6hVtk^8Z&ze{4;}#L;^1l*y zIVeb7AkvK&xRV4t0ODj;V*BB@R~1Cc)DC5A^DPNRSKQ#iK70T`^n1qO|@Vu<3zV1T{%ub_Ubg|Z_GR6ngzeR=b zUNu^kXFmR`wPq7Q&HmP{sFs6*gR8St;`-ZRPGKC;z-%KtuJYU(d#ZJgR&#EfGMl_3 z=}(^zP!Pt=pF@SVP;&x=!5k9rsb0+m5n4TZPmlbyvM4N->TKNGSf~_MgkA2t5dmLW z##P*M4*@SRFd(!C2obii3K?zY#G=$1_GiSf>ZHmV1SK8b#h>l)D8!tM8N$XMgpovZ z#3V$sauy53HiUW$;zICJ!0En85*j2s_)O51Erc;LtwC&LcFED^%{Fs1`6 zT^Z0kH-2VUEyh2XYo#jly$TaVyu+-07^aE*YUg<0UFONTG`;agG^Y_(ui@fj3=sPC zA>x}ZZ(Tx2gBwExCYxBR%+?+vcHieN#M`f`ck5heTW>zkyc(sc=Hm!Qa6?sj5*InW zh&L#6{(t5Oi2f?asG76J>@eP@u1Ea{1nR0sFwc+fjCA8uSTiVCvOGb>a0A76tbx4p zV3O$!<1us)Dip4Q>>ssb=LH`i%C$@km%@A>M;rbW2CG&jq)wc<7Suk56_*A z^~o3yrSq?(4DCx6v>QEk&zv_d+=v*85kKh^j3LZp`{YczboFCt8S6pkZwCR?pn5KK zQIr^nW|(}p2*}DPb5s?&tpfA`>W^@-HR>a}7y#xFcP|ltZ{XYq2-4!WgW#!mg}r4O zP_D(qR{;fATa*9@sMa|EBI?5Kt5wv6tLzOP?@c59ZZn=nTHuqfx9Cc=TRDW-mAa5J zfOD-jj0;#oSf~|;AYo~ju-N?tVI~8#i*y0?6qtL2d0MbB4yh5Z5iuYD8rFt3lGM&TWXm@I?TcOvm5*X#<`GTNa)$-G@E zRf;jrmB+bwkiDtg#p)dk5kScK&Ma=R6+E~uU#0&Sc_;IxuLHUp3u()jVq5!^&dPx>WJ*l=`GMOMTqRq;a;+kD% zm9BO5J*AY zl&h8|`B#J5&rsdQi)4~Cz zM63og&NonqFz%q#eJl(dmDmritrFMQvY5YKDdu!>*W|V0-1Xo2Q|@NPQ9ji@6XJf( z%kgRN2#rj=g>+okSv6S>0c650CVMKbP&3-QT{)4STd1T*LYd+yK-MTtZ!V`ftP77_ z1;nY(rcK;?E&&2fu}%)sGO-v@`e1z>W&mQezrJlRU_}k6IDnR_;s3j#Da&;!=SDs4 z5@xCZ($(3ts#_?7@w->YW%x97I!YkjRz0m9MOlU8Irh*lmU5M@aURdHYeK`94

    y z>hMacwZ0&&A4etV?6Ya}5D?i?J54QKO)GQs5cR6Sla=AkR7TOg;}(iEDx+DZeW{fg zTUh+?TiUWn(w6?VA8nQUXU*%RlHZ#sZZ()$hiFX~3UoolG|V9m&N<2VK#fD#qu%+o(>oLYvzn**rkjie04q7$r@ ztJI+ZNcr5t0 zNYq0&x>hi(&g5t4e*rf=G6^6CW0&83gTJ(itl^MioZ8mBB->}}@;;C~^(|wR8~tQv zv0VGjBCnhIo28(k$YX~V+@{_14Fq~#cY&{>jbxOUJei~I9REI0yC$C0Gs7C zaJhn9f(W#Duiy`Lq2K6#!Aq+VuYzt4dT*bs?#3yt07qA^Fo{@`=y1Jc?Pn2JV%#Tq z!4mYG)`TOJMn^9^pRzZ+G3fidQMWsmr@+3-V#`ap^(YySpmU7PJHmokYto3Rxle&k z4PX6r$vME9AsA?wgdrB^2}^iW3G4V0ic=**6otU+x`!W}c+dm)eh=(N4c_~;eo({D zs~+g+ila1xfNcRycA^PE7;dyA;PUOffiO`PMtS21DUjB6Ea?DbkQVN`K{#`fBxsi( z#n0RRGx=#pr05u`qT7k9B~D9}S9v;!7$JEtIjastrGn1dhPqz?GhsDBj` z$pPTrbQgvL;oX2uTxO(W07eq@PY_o!#p~?hQxa|nN7b^g(kTsSkO+i~<(ArlAy(v` zAW|tqhEzFbFgIjb-UARC*HBAMU4+UAsUfNx72S%4<>0j@TAdK~Zz?>d->0__BJ!NB zEUsXRFuR2nDD`f^xs(y&3JgG2LO7Gjm^mH6^b8@Us>GBMARHjfErEny0|@hW=M0~% z&y&^At!U01;iI22YmAk>DO;vbSJ9pYm@02#&4C3>TN(h9_e49QgqZwLlK%KHf*l=vGJjDo6pF!HyPWDIJ!_?u}Q z0&Lz$bB&W}b^AhEZsTsW@+brtV^$ZVn-IrS5Mu~7;4~Q*6CGX@=qX<@p9;YP`Y_D{ zv~hcVtp0F=BJfv22(G1ISPMGe{qJNFaAsTy=nmTu|7|Rlutu!40CcfrZJ{x{*?bXw zY^+B%(3);AAJ7yYwa~bx$hEDDv>ey5#1Lzi=h7-#(JREVQY+J$b3Y`lb2i#9Fupr! zdg`eF2YZdDaRu5>55cVKic@e;%fHVx$)pMj`fd5FbiMohdOK$pO1-N1?ncDLB``mA%M zE!xt7v}SG7n$gW!x}*d>QdN7O{MmM)O&Hs%m$O#YvBI!fBf!%E>(!vr!=}9-Ae#y? zTUfIz=yblh4z*R{7$>#awa~4!s0*&@?##dcI?{U5OlPz z5KHRp%f#_TsfUkogG`$UMB3~r?vb19G2OYTbcB7gNX2-G-^eCp#)E8Ac1!j3j_TTt z^dBLo?qLzsVGUGatw&7FlFzu~JqYx5OYA=Yg+mmA<8vK9_B=lXT{YW z!cO5<2)dLdDG=kn`zg(+RlO(O$o1#H|NFlu0kplT!and-U-eacPw)Eu+0TA<*KdD3 z{`lk9ox77KT-OETKJ}?jMYbRN*vHbF-~8sA7V+_qe|+cqJc=Z`TYa_3JyaK>li=W2 ze8pF!_q^vlX)-?ILGu65hdz|v_rCY-#4h~c2S0dAu+w~Bdg-N|>>qvf(VgSh;y{3< zv+*(HtgC5i`#+%7pyw%A2&r9K0RBRWV7MACMeBXQL9U1Oa@^%aV*kh(2vu6T6%|1UfmkkJWf(R1h1 z@?0k^tk=@9P4a>N>p)MKR5lZ&(e=N{-gN(wHk9Adb>Olm+b&;5l?eeAc^888Kx;x*=GTbXoU3ksf#J;T3i#)0+ zuVEbWKB0q%KWH4n00~ik9S$zUd#-c;0JLD3&BA-ozX-O=D9xhc1WnA?p&D{$CB{Sv zUS4ko5&w|$mNcM^UG_p1aXZi!8FYurMAl#cD2W>uj$euAGia%dc8^e+9N+KK_ivIM6QeiU>4Seu-vo^It|YTi_?cv^YBr|=vkiG1`FM zk+f3*%f1P4k9rCQ3NBX2OEmyPzT8f79GRyUgpREOXmo7rX(eNR_}PFDo1;H&2$IU< z3zU%$=DK{lE}87hi8^_nw#T{g`&O0{3SPFyYdoTtrvST%K^mrgdw5IhEKn*RDE~LG zb8a)~{@D3mhQ`lwVIOsysOydL(dcRfv`X7x+$8|u<$jBKe(&LzE|eU2%5cwTwn-@ z7K*I9ZW{mKJ?mn0bpDkzKryHcU^oOMEI<9sc%1C_(810*A{@uA*?#UsGS+!0x~jy; zd(>huVnFKYfU+#6#F{Ze`8=Cdw#5Dlt!ZrZxaj!iCfC@APsz9QMrC*{Zo>->c@1$( zY$^#DVmM%I&JtGrrL#PbQbPvMzaQv&C))TRj|V+)w|d|j6>zsoc#!Xd9{3!409!S% zghwE%nmax5h4y@YLP2mOFR&kI&5Zob8JWe4Jv>&fQ%4h8dFpd;z`tpRV7j<*;L!51w)sz zbVUOPim;6j&j=J6lTab1bquRP1cf7rd4a(W7KD3~R)e|^k&w-Zb=IREO~AlD&-4Km zw-ESIQ~;6{fL&t~+H#5Aj+SKn54R~=4!}qm17m=Xh%(^Q0HLkgq!Pyx#Z@}B8W!2*Q7x+5JSVAo2p zgn+saBdcqn;St#3X^89_RBq>V-V`Sg%E3H`E7QSBBQ+3|!2rJrvxG>{o z0K!3I6>#uE#5$X89!-bQroB3x<{h3)=g}~`z(=>Sdq&eidge8~$MtV>>kOa_F;rTo z8IuV7o6n?6SPU&74ASE6B-T7n+y%EFO_*Nu^&`_RNT|!vHJDK~iv`UOnq;E27}Q;m zu}cI5^Vl~B&Eej-uOxGzhWU#xrtH+iNlQYtFB6)DrTGQs!_KIE{VUA-84?G`m<%P> zu-+lGxVz7%^^<_V>^!S$=hN0@nA@!*EPsd7)Eska=E%PFHXhz^lX<7*FxJ4v11-6+ z(A)s<+!vYhWk9VV8=015X)wc{gW}0(35J=y3yt}qR(@<=Ro8z^sd~&@EeQ7o3CA0v z?nSe4S^HM*rY99-6yP9&F6vl;YtIxStB|7~bF9}CwvD#Y=EsY{)+US~$_wQYZFa*Z zUY-gq8T)VSkTg}ijGpnk2Aj$rxNp2j8LT9&TNwL=?T%VYOm_cvX5X>nac>%M{2 zM+5hYB_ti0%&~%8nC$_=XF>k~mE2zo(J&Ev9)$D#_J;~=&=FN~j2?!^Cir^r=l z8y{b=_w(`CLr>{lSGQUBQ`*mp?d;jJ`!>NCdi$lX`I@i6d(-tmV{xxmbVVGz;+)^7 zPoJLrc~_3DTLBP$p|U`I4RES99=tzxR7-(k1IV-tms~ z6F>12(8asw)j{%p)0^J30}guszx~_4rEmPkZ@lTF&p!KXnv6U6MPKwqH@*K(UK}y+ z1qX+Htd-aPKh`DU=&_#2%XGDf(lU&Aa}}(FwHypiBZPv|Ay{pMYiiaj)+JR9#?v#t zt!Jb2P-=EgVF8Vz&k&k55}-x}WtrMVEX>XV%DMLJo$lj_y^~Xsb8)BTLGv=Bb9bXy z+{1X~wr=uyOmeQ_*Cp<=W<3-iyj!=ZId6+AQk5hCV|tA@qzluR(v{g$xMPIgLjb+e zApRoCc})~W8tgmAu?_*=fZl~yac^ZY>D5?MQHs@|yWss#A2mT}^V| z^tP~+XO$lT7V9klCW8;}P9O{`(-z7<^MoyNEG*4zrHyJEK6@*jn}?qfyu*!as+}~) z$anHjn>|nfaa)T?_{3a!)VG@_vWz`*@|paYcZ@ZkojB;8hYk`*69PursB_t_O`Fg? zj_Er4a}%q&h+W7gFr@Ay`eSnBiMhBhyFUv`S$_19V2X)43M|H6%1`;}0d7lEIt!gK zi}DHX$0>i%U*h+n_?^36MR5{Zb>Zsev~uTZhF!JXuvcvlW*{9rq^*rO1m#0<7sq1 zlhTP3soKS|xpFjhYqOzjC?G1>)^rT>d=pyxbZZJXxkc|&$Zez*c;74V8oF@3#CWgK z);eJr9Ajma!iLZvN0wd z_1YTqRvpS+gVvMY8)EIago2n>kt%Oi#&e~}K3uyO{Fr-1fL}XT#|IK73WUb(jr$zT zoP)MwuyAb*P}?W2t@-vyd=EJ7F*YdMB z{!5>ZR#&JeE4bhw{a8iT)WiE(Mkt^%{KSAhvh)h%x8yDM4~a0LuXzek3mI0To_fa$ zfNLxh+FO|t@49pXU=VK!gNrELoI=L(^2;fE{PDfF-txCrwyyxNUB=UpN+3lNtUt^= zROWJo@7qlyl*|GcB=3kf$vh4akMc6)3AzH+>d%h=_~gi$JTA%&Alx6$0p^q*QHuNG z8>U3BJI0|MQPv0r12(*f>8K~60kN<{7I5r1gvB)lnj-%P-w%4=UhIMWce;DArVr}$ zdD{c(%#VmCG^ydZ0zlOUtlC6CM~rZYB8XyyV-j*&+d-`a6I8+aPFJH)0TAwNd}CU` z&h#+9;;-Gu{w|n~;*sLsz0VcT#zsMoS_)cZ0D%I33PbaY-Wtg*De@43o zAhdk8>s=|=GNb*JpM!FoHoTXSie` zZdSHL|2T-yUJNc3;<1nRRe5_EK>`*WQU?U15 z8sdE#>$~#Q;dEu=`Ls|X{@(>a+Z8lQ84ndLaRdv9!?hDDa9jkviqJh5Iylxd`m;nm z2E<1hF@6Tb1<^ee6YOA>Vt{8&^5A2>0v7e&DKz#jpjnO(ehYU+8|N7ZXbjh1X2jtD zsC5#B%BhH-c%ptheU`WZ$D8$Vl_^ko0^;rE!8?1G?uItoFT$T8TtTzEhKBNX z^+{asv=HW3(xZ%XiS0MtX57J7Q%e~-34A|AvVR5botwD@A#*$yEY>yVsB<}75;?ViRO7oc;4I52gzGDDwzPw%qN3|5)50CpolrfeE_K3WTI0pDn< zPV!nv0JQQ8fRK5PQb-?RWC_7i#vbJ!o-v16r2*~%gVfldhJ6HzbzFOv5%5l?$kUCN zEYYZ$ymY{01k22w+;T7n2eljwaL^natL&>~_S6zCf;wzgJpk|wU~s_PGqz8;he8R8 zE}4Om-C%X6%5S#}tpi6j1Of^vyiQ$5SPSw17g>9|?v@B|X+V!yhdlv9;xINDGhN~W z_IS><$5^{2MGMZO9@3UrlUTnu5o%7gb&XA48%+e3SJDg`{26=d6nmEYEn*uiBv4`@ zepN|9MRoW7H-t#&&0?j8JA&p0N;I>SNzB%(hj4So{8jK3aei2zD;E*iAv9~DbzC7< zP{sHz^ivlA+@vc)&Uyz$Bg&)ROSnl}z#_nyggc3*6h0qaViA3K^|3ZDp&T zkAC3reo6besuWbxlJ1MY_=|U%p_|S>{KG%o`8|2?t>5~slRvLJ7ATvH>sQ?H#1l^x zhj;D!Yrpnu({KOwZ%6(Dh5!7||D3+^E5CBz@@)6t{oUW~T>G|f`?j6q+dVjQ=1lsd zKl-Dc$G-ZjzdHToPyQt1Y&_t0t{m(@AouadA5Z3MGViy&?QO&_o|vC;CI6#B*suJ` zuP~MKk@|)=ydepez7|O!qqF&O=EP>&UjH}9RYMa9cENiAbW}0Vs1W;3>%scqB7GwN zhcub4(Y+fhCe@S&LJ0%VEhgr;;#HJA=GMQMJWyajk)qlMEMbjj;bzV0Lc`9XIEgjW z)>EvbFW}AQInEcnmzmff`@aLv7JOxXpFE6Qo=@0<{Mhx8T{JknGN4bU(3XjhJtTL+ z4^r`oO)j#6GQpX9dZ3MR%cG51@(`uWvjHE>sIQ_#Kw%OQ&Yi(W~rilwEIkQj7hf zc?oYHAR=4v1oEA31M+q|J#6RsiL`UJIKln&>;NwW>##|j5P$+!I`AR8vn zwuArxKmbWZK~!{`znQPpaR`0TV?JAV`Tw~!Vrl}kZa_c1(xA<_VtsCE0V~;*j-jBt z-n#;*4A@czxF?Qf1$4!D=L_)ahi?FCT-W*goG`xNIp~+RicR!q3u~(R;@u zO<1i(7P#0qkIFRbDyK6nsIvww1Q2xW>+KjPDg3xmj(73A?~{FgMC{X23y&y(Tv-HbL%s1tE>x@yAh#e~`bqMxvaL&*rDhR(x z#RSIpt&%{jU?stj1LO>#(Eg|2OH;&LRmqHY-tjILG~|=)1ID6Ois7>L>S7w;jVII9 zDC2HGUuDo)0;~Zx-l{y=-$~`FhK@ZpigEFyVLQuDRSwD|O(Q&K@ zQN#}ynB}m-gD`^u=^#vN!qD{~GRtUxO3vu^bAqji&NW8~k0R&dJ1&l|6~}&iujEHT ztQ60C?V4ra(nNIuM!tIr;sO7ZN!mBY9xUo1TW6WdF1K(WnuCJY3+q9w1=|3H zx)$9pY1OBer{I_ZMEm&=Wj3Vl$kTTeiM%!;gl5s!?4Z3m4;U#GDa(dvk*5Ura>iKl zu&k9s!UYQqv6h4;d&Q3_Cn@ve;;&khL9A03LCXLL5ynsYQLzK7*sqg>+gxlGG?1K_FKlXfpa&jj@3Oh5IQ{Zw0jmXddYr0T(3+ zP0WKPUTgkN@}Z5UF|M<+r_-gy7YTBID34bL_cxkeNj1ii0)ok;d%&TVg)oyNEO4|W ztXG!lXDp0}`_=11cru=}Oe)X9Dc(l1N+nzy3QYQZqk95j0~)$88J)#rFn<4z8wl(~ zX5RqA3aB;xc$%&si4vZGsDHsY7y#oJaclDm{c;ROORe5}DGgZ*Hrk(snIdRCmV;_$ zuU8&V8^if0-eH!3rg>4pTY!r_Gr zacs=O*Tn@1%#$uB0iY6-midgeApl?*E3|%xbGp+J1OsGqerG836seEp*`RC;4AyxxwcXN)B*Xm2 zjVHsUkKnN%n)85C2*$PngeGGVYIzqHdTxyTXEQFcKH#@N8@74uJ(lHSwhJ6Aa)GWG zvY8FGanXhVZ%{Ul5N$!wSRDu)viFJL0Q?2`=W}eVDh)-Q+>HIuem7z78P!;G>+I#+ zqrju98&hH!mT{|GL&?W2vWzuigL`^)*1mDu$^fweGzzfN?lSaFMa38DRzV470ibJG zA7VkmyhCUw__$Sll#qxBk+wI%I_an?<<_x!Z(zwVu`G~H>dl~yjwNAro%MLOpN?)2 z$8^3E7QualA2rbkN6rDf`Rv zl`Cl;raA$lyDo)n$M;9#bw?_IF}GG-G5LO#LHpY}57-|D0I7PKr~(Sqh&R^f9BRVs z^c}_u76-%|+({Gdj7`hm}0WXu-`B%@|!HDc)&XI z`XNnR26mF|R*+S+HNLrO=&>LvxGpJ$oSp{nJa%6k2t2(J1&QaLdu~^Kb&dIf4}4(f z+^_!XuciyEhkKJW)i;0hH}5^Y^IO-VKl3v`v-7(+5ZL-$+;$|=yT$Y-JR-V7`3%`(l{KtR%y8AW| zfEnZPlb`(LPH8{*gFhH^c<01jJm_sb%eo5yvH8*X*4^UB1%nv%bzD7{u^P3u9I(eT9pg>`jIN!P}>;W(uYksYJCJl}~mKN4>srfcm zik-#vRNmN153>NS*Yg;MDrc6cXtfLI0T>~cQCGNZ>~V_KU1%ujP?HfJ2?Vil^Fp;0 z7SjiP0ABW46=n6PvxJuH2Fk`g@_pqHysmB+aW##m6Cg2ye)zt|@JO0l{S0I382yHF z3I!RTcePamJgwl#i2aXqEn@5K1qjLPTB6-UTz%>u*Ntp|m1}M)@A$#$pZ5zK%2;Cz z!zX39TkmIw;WKAZ7DBkahxhPZMeIMmwa9TK8JjW2k*^@e7bkt$k?ebD4!~tUvGMQ@ zN}wnsXrCU|odFcqA7&iDg=48&#(J`k%hzQTdghm|rZucQt8151ZDk9$pee1uTk)m< zXV^jMQvuVYw;vR{8$Dc^;;qMIoaH|BPQU7W%oA91tYbsQ=n0fIo4m~JnK}S8G6>$= z^YcSk?~Qb6eHBYf+@e#D!ziKpTpC`57dsAZ`UK+z}7*4p>L%e?d^& zTvegMVaEL#G`I1r1DUhPqCFgz$kTPtg+mV?Hg6|I`@H6vT~~H)+4lg2xZI))po(`@ z!cA}Vr8k3$YB7laXWU!TbFhB87mZHx`syX!SXM3pwhPK%#Covrx-}jf?spmtm=2-9uh*l017v&i z+-!i{`_@I?atRAU)`Td%Fip1gPFesJt{=CQc3(Y8zec3%3}9P zmc0om=Ef(3BD>p?K!cdnK*BocVzfvex5>YS1z{gzRbqA;Dd-hiVZ1{*RtawzKAE`^ zgr1tIBLcJ!Wo)9cMQ+!B=Ne?Wo6)WWEd)yy_n;MoqJ7l0hA_r`)MqpNm+89lR%rl0 zSnlEG4Ys^oYlCFM>_UuEnVm-!h?do^!vaBJY4N^yZnzH)N(y#$FNly=;;M8T0O3ww zNKlRmF=KNb>VF|xp(|lIG=O>UH?Ts15v<@QPys(|JblUdGG3tIAV7lew+sVW>8$}s zqjd+!&>^185LboV9d7(G1QfTMv{(#qQLC6uTpKYSs^mMn{RL?QE%OdSiia1zGAsy- zyp7>tygos~lQ8cWA^2n_b$L0j#@IcOdc-hkZ@o;vAq<*&k~uS#u4bnZk{`uI2SQRb zzmH@2_( zLAdx4drUTyqdX<{pm1HoGdp8YEftbN#Q|>Bw8HCEj5oNz&PHE|QX#^cG^Zh4cu@Y>RloOqU&v8b)OMK7bUAr zWBO9AuEU`O5K;mf0!U&O7=qOiYnp)Kkaaq?H!TVAM_Sup|J+nigw6P~7XOFYm6R#1Mqfm8m4}KLme=m+f?hl!;`S{`T{g!l9xfdY((?9)FWI4U`4d3t$$=HLx`@6rpZ?m+<+Yjh7 z{+@XVjI9A!?@eF#bzisl)Lr}iu6MmF{p-K}Ys63NKqCmMz5VTPPj7weThaTdr~mxV z{|r~4>x_Am?oxm3$A0XF^${HW(1$*B!|Q+l_kW-M`@jEt=lT_ZcEP>dNk8xdKajrj zJHK<+Bfg7|e)Oa1FaF{$;=Hj9t;@H3%eN%0F}v&+x)uGKzxkVV@#4juXTSTqzdPEx zbK))@40?+p`0ZiYKImR#Ensh8PblNQ5_c0QL%tHi;MxFzA@#^D1htf7PZ3yS!j(s? zKf14Gg#b2;`vm&t*Z&`u%{i>FpW;00K;sqG<3-l`F`&UjuHg#1-Z`G8wjO7FhGxbk z^P#o>3rP6yH<+8&qF4;_`O9j}KhJs13Gbp{Di*e=CBO2;02^|SRFJeD(#`NMSV9Ug znva6>Z2N!MmJ~ReH#`bp=vM6^z^XP%6KiP^ca774WDf!SOv4vf+00zKby@1i^+|wB zD?P2^dhlkeoLr=u3s?&tLa07sZ`$5In|gpXmNEe3>eKfFlxqb1Zk)6z!aARF2Jmpc zuPSaV^>m?Ug00Raj6Tk%dgEBy*gBJjSVC^i;E4q5!A(pH7oioVu_!!b9C2d8Rq!S< zAU1iIIzc%BMr81i_0%HXamF6l$EvYYRhb4QLuiFVz4?f}o9Kf&Jgxn&GlQk6+zXK; z!Xnm#R{#pH@#8eS3_Zp!@bKaaV9^rb%Nz)F#P5ipg$(~2+_b?W07$vH>%VBaTiJpMw@3%=B>*dB1u{?^6hfcrau zBW^45-V;=ox9mx@9}u}@z_ao+#S0b!3J4ZDCUtktx!%@iuu8*vw*DyZ?j`0I!tHE2 zU7A`Z7Uc?44cY)}#}@q1QM?oM8}N;cN%z=c2`k%e=23v!nRJ^I*9o=EBA^o=0~v>w!@uQHa0;C-hB^Bh+s!DRu&%g|EKGXGAa zsQuB^we)3#B`|EzWKyAhbmmO(vH`}eu;!Cbc7(kUYv&#Jppy^1R>xZH9y>g!eB$_ISuBU#luTDCa>B9JB{^&$NR+_29k-J@6X#Kn1P2{Rl2W zrsWw#iK_%o-xLH?%M)TD>INeslfza#4JQ!59lP>=`FOi5gMUqK-n)~mqG<=#+qs-S zC#y7(CVxQG7Ys*~5Wl%0it@RfScn`vS3EnGCi#`SES2A1%RnYU=^$H!cr})xZZp?WH)|sdYy$}Dib6V2&CF~DVt5`ai3w28Ja3e= z(v$cs;vT5Ih-@;Fu?)3R+?%#3UpJ(;e zIZQ~A^1FBEuLhYws#-~ohcbjkWnBR){@)Rjj_`SEY{SL|jQ^M*De~LzdpHIWBfb(s z;1PWU`s`prZIF+iV8}=2*CY?LPm|-?z5GWDBEeK$F=$m((x>_X!3x`+6L<8@xK9nj zJpfFt6R&KLA&jZP+!3QtOC3K0G`=e^qvehQe)><#LHn+bHY!@Xib#6K(1T$cA|Vc! zgjdK-CMFTPbVO`awIE9{`XzuC;{Zmik2_Iq#>xl{ zX_+Y*zY*)J7K<`3YPT+JpG#M#x6pOm>E z7*_FQ0061$x^fY7Fuyzgx-RvhBSyIH^y!Q^PVO@!E%3xn?Gmq3XI+Wvj!x}=Q-FBm z{oLzu&h?JH&!o#yHPGA8FYcjuVvaIKYS|<7s3Z8Sb?T|Ug&>@J^)%2A%^T{WrNkH< zHLt1uWnv62vVIbeYjlzO(QwC_dxWAzhR{c$u(61PR!}PHOF;oca5FXLuftFoYYw~@KO>9e?p!y-u?^>7J?zCVJZ z6+Q|J043=&#K>uDbb?#+u~|G5`Ne?X%y@{<$@I)IM8klxMDy`!(-69$1JJl{DxRIZ zSezq&>A)BU9J@u1x5?P^ibslSSPy9`X$jltc7%*Cf3CRsKKlOlZ~ykBh2Y-w!4G~g z`MFto_q*S{>+*TlNUik#{LlY9T_$Ggeo0#7eeZkUewXgbxp^$Wf9H38C;ik<{Zzz4 z6!_Glu&^qeEVKrYu4Ue1k3BYd`nHb$X&oPemh!emIzx`JM+|;WEPV$j; zyRJ)ULtkTURqdZ+UzvulnxT%51Td2U*61d=g(sEi1Ux_n}$bqgfLxfHLxF9;?t3b(iJ{V1mfO(5Z%q=&@Jp4W>#xGJwHO z_Y%)eVIBVv$5#Q|ElIwN0eb)lLZMEb^9m3%L!uu+w}t! zfaF0=FV?UooyT4GdbsN@VHuZ7S9o102f>$Y0A?*?MYyopB~(F`dSL|z;ItYhZrn;< zrXlI{lYEfhazi0fX_r)>k}ZT9(@bwGoN-%-FLX5)iwS)_;pw3<{#HQ-5O^9-`kj8CEOImjSNck2%&H zI}jn#DGgksUkp=zl&9%?y%m{syDmU=H&=Wk{68JJ%{{nb6BMA@Bk+&eAG66Flk!KJqf?b?%GxoXwh63Y# zXiDoNK&aJL^hI8)DB_O)fi5jULsK*QoVr2p_wl;nY94i<9f-Q{%%SojmY^ufDZdFo zG^~RsYD9Yj1oV{cEzbK5GrArH~B8}+h4c8D&41t zusny?56?m8FNBq$?s5lPpGw*3C&Giz>sG-B1wZJ4eR{z4^+9^j1NU?f)Ff1HkX}K4 zSw)a_gkbUEu?*r#|KwW;F%@!F5uWv67Q$n>LQOWJVskM|kKK}T1}*+ z@_NWLOs0HG<4kdLT+B;}zYr+7RU@~+NET(fxoUOiV*&hepUK?aE450{ZJ2j}rA3ke z@;o~!A0=oKZ63o2?{eEX?lbx$DmH$eAIbwYfZ%=zTz&|6$!96km1YcZ6OA0Zef)n^+PG z5Eel1jjCyp89>e~LHDb5|Oky|0qQ9^l0gMj)&RHvs7n0Kv)Mx)~5Uc{~Gd9p8^Uz`+D# z$sEPKTmz=6&x`S26*qxh7~j5Dq%dgkrt~l1HB7s%K&mj(eOwMHkllv)gKI}45N5wC z^UwQ`pj3K#fD~3oeO$!=O8TBGyK#uTVQNbqtdkiVey8U15UseZv(4kgAv_Ul zh(&0@`~?upYP~u3{4LXZ4iMEq@W%Kn#^eF2^f}*R%$GKxj&64wXkC}8$I>O@=+KFZuOKGpEuadk6hgjE30TG+UwBl5pkyPB3TzF6t3rj_+`0SX?Sc``Kn z_x4)3g{w~>psd9@XuMGOEcUdW=bzz5gR&`@VUb^Ru#CoFJ z(Wv7@72}#qnl3&Oco`4GHGV*x*)nC61C7eF@UH-657($#4vqxX*eJ=BjZ_+gy^75% ztQ}ba%)@;FNn7lP3SQg;)tFZ}(O1C6e&ilJ!rhiPOA{#g$-zN>Q=aWrxKlCjFL=RM|i&a2-n)QQ5EG)8T)`=oMJtg=s( zp*8B%b%Q-}8o)66$bQ-<>4K|`Fk-FTO>>OXZ7gZ4xZkO4pqPRskBS>XLeNjhkt4-c zO_%w4%saqA59~&gWMV6?<)hm%QA@J7~##eLuL9p91O{N^_o zKVOq?V=cb_{qIk|`J2C)wD2pe1&hL6+rIwmzdn86_kCa5FD_$o-$A~OWq7xepx=An z``)ln{EgrEjid|Ly-5qmXP$W`X@&UIQ%~)^d{=*unE2hz|6!82&dc`z{Gkw~brx@yoEz0RwYIQi!y;{Z>xo!jH>RFr{cvT=lXJ5;9-ksa z0^l_0Q)~MX6w0uw0$AK?us)1kjqc269$-};=U^_yl|0XD9HH0pI(aVNJKgtC;0RR= z6eUABQu}XWEV4+{J&$S301H7a_)1zu$}^UavDP8rEzh%RSu~0lBi3(#y#WhqMqgzD zT{lVcbX^wV8P@2&z#U6wx3>aNh35hO=@PVx+e^bh?3>0N*6(i67WZ!URy~K5u)5@* z0FR1o9;^6StK+^L&{1o!M(IRa-8_SJ`SElGeroM-D?PR{o8~%GxC@mJ!i z_b>L+n%~67P{usq-E}$862C{89m?r44s;dUEd$PVv4lHvA+1aYM~#9pu4%W7EqP5b z&=-EVbCo>~>p{S|MsFJ46dSf0yh+WtlpASkun>S?4Q5rhn$uXq=@n-NkZ=Xw)-EWy z=l6-v$hZpt4&W-^#HgH>TAbGkQ>#HZXx>jPK#zQMpd`lq#@g&bOKbsnRdMyMR~<*u zCi|~41Zf9dH-1jaioT;Vd=T{10GFO4-butL1kmkneu8T#asmYRI_IEg=F(;20_yeR z1Uy^?KvZ0H7X7m>pzL&;w$cB?@)C3keasj(m6$IAu+lVrXwUT)?*@gQD~HyhCji=; zmGt5ivEre1YtTf}2?9VffUR2VZPDIE#&}%?V?0MVu2hg*+xRrDke*{a&ZMQ4|DaC+ z`K0&TPx_8H*jK4ba~9p@gLLqXSaAE238jpQwqnMkO>*9O1^&}%A1 z;5;ZP-pAVbxp0?AIiWxRKhdH*JxSzaHy*otf0~Rb>q}iqjGd~0q2r3v%KSp^2Z7Z< zu(Sby)MD%yekLpki(1hy#vHe;5uefgisalhDHIbVJxF5Q4WW;N_oBQ|x}JPT<`M7z zAep`P_l$UlC6ras-lNSd_||oA{r6VOXP^i4hBNXT&@OxOdYV8*P(3jj6LW2?pC0SZ zrG?Av9d5-%vYS!hPjmD=v2>l2PolW472(UsTI!6ivw)0`Qs&@==b4Bom12>oOHr*q z%ed`CAX4OZ?|sAblpcNKUuM)uF@H5Y)?BPekvhd!k^n)6GzV^TYSG~{I z?s?GeANrvmN`79?RCZI}CrO;VFf&Z2N~`H=ql+;Et|=f!n-F*{g#Tg)J}E)emp~OT z^cx~|caGP7hejkXuY$)P=pB*o10^ zmLytj8}&23h)H3t+NUxM1sx}Qw@cJVU5o{|fZKxszRd@KBO9$b#sdr@&fdGkV9P2H z`{oD3rB>N369kfkv)Voien)6I4wdZjzA`Le6h>wc$$j#RrXm~_D7_z(zSBzvsMf*> z_i=HI>$h7bgu--ee%qLsM!_@>t-%=3MVw4+i`WqZnEGu1E`9tA5$Y>6ALzEPvI*mZ zaCr;iGh=!i0mPt!)u)UgIggaIdtaTa%yBIZ_eRCak zQO4zFwmF3bBbGPB$XX{L{fU#+w9-Dy=M|WWt7&2CG3usvOU1g6vn$qzTX^5M+WIQ*uHd#-G1YD0`>o9907^ETvXvi89 zi=ca>3><5>LXnX|0T@%ksGUR^B{Uby2y=pYVjPz|o?l4kGK6rtSlT$7*0(RE8NlYl z(~s>uy7!>eL_-sXd(^^;4_Cd$4b7$}HM8?_t&&1c=UxY^-5y}zr~{DgW!!M$s0=|2 z!puIxC}R&Yu7`qaaQ6WYF^l3}_ZQExuNQ*Xu$n{2sr6tFVUPJ#Vdi_p-E$AMOGd5} zEEll>fyTMB#v)>a*!TiCM0yzUka)m2f(k1$lv5^C>}>@&s1}QWoqHy+Q6mA`3G@m2 z4G>(a=%XTwb!S%$fu%|)?%~D+R?E6VS;p9~J?t836RlSTe3nH^5%jTEp&?V-=Dh(( zhT;T(sP&HDG^Af+T?3#Lcr>2ReD?yed)CO99&Q96W*Ydc@(e~&e>=9`faS7YJ z7t}m7;%K zVpyZ-CoTJMox(F}?V$wNy^^xVV-|M9q=$?&pnv;V`JutLy{+{iz$El|4R@|8>)a{@ zpva!o?`^Q>ZH47v1v*?_HFr-6%@1g!MdAO?-g_)bl4WO_SB;x<7Bp!wU{DQ#^q>VJ zBiLggf(%F4*h$ly+mGu8RNqoy7f9_|qynN^h; zm3|}4%}h=8>eb5*`41^3&r_?#`hZAI#!sMYw+W~CYdoet0EFE^F1(le(C8cx>v)%O zCiLs>3HihpD&z6pwTa z1?zaiox+zuE1UBUk#7u9T0WP3ypPx5+I%CeW1RSCZ-|#0^qBcoKu;EgADuQ&kza46 zTc^mH@DYZ~90C-s6K1rAj8fMU2(LCHCJ5q&wPX-5`c`>XZ#@AlWXJ-*R&OWoUg-|Z zzq-IIC1YMMcun~}!8oT)|6?P>oPbn9%ROI@vEN8xuG9gRBO59LH_>z}%9@9*8G4>%|pi{sE z+CIdaaFTDQ&+q9WiN?Y{WbP^FpOHIx3oxz)VA+_Qr9Lu!4VmW27*9X$Z82Qv90p;6 zH{rtm6o_UW9H0IRpe7;50XFOL4xo+qqab2VU-#fqWUDmJ(jjnLk574M#>HHW1NhP& zhUW!*RvX@?1;5yXXVDP7*?*Q!y2oj~wFx+APC|_ks=}J(dS8OS<_MJ+biDZz>$y79 zcMaJk@GvOK>9NVGiWxEQw7khYUHJRU3RA^itG@LG|fv)He3gZTEn_+vQEf;psNsr16AGhv|m zme%R9mtojioDzE4b!k5+W3CkSCNm5vPJUewmU$!XX?#9n+$6OsYgHCHmWq=n90wpw z_nE60E8g#R(ieb>J&Xh%Aq#)_)t49qAU6`)RM}V{HX{#n%-NNDelI^V?isRohR#Xj z;K<#0>vqa{rW$K8Ll(pXQ80LI ztkb421|1n$-UaFuu@(>?|JAUr)b_5j%I8RsXi0VmR&nbk0gulTalb?K<5PLQpUWeD zlD?tf3yr39j+*#@H_|>vUri3fTrXU(enZk zjaI~DiQY#``3X!;nZmw2<*L7iII)Na z>X=Y5Jbo;@gCBws^0!xujJ8SP4L5p>FtIr@yc%Oh7`H8c>kjZ$K|q)zG^i!35$>ZP zJV_mf!SE7-ntG+!CFcKYzyLN4F+kg=JkJSC!x+G1lhAA#7O8p=qS-^RK?&MxpcKZM z72!3*LeP+_Z!FXoj2|Zz^qYOep8zs-1QF02b?Gq}P`!aVYN_AH;`}6JM1gY4gwr_; zUkyeq;dK-tLt);KcVgN(^f9!`5yWK4)=(hxQ-o9S6wX8M9|f5$}r*JLl`x1yJ*0$HW7d__Jbx~F>6iokr1kglowdMm2IpIx6|#-|22*B|BtjBD1j0B z5Bm?&v$J2ux!c|Q=Ro0Y7~5^e_$w^hwAwX{ry!wm^^bWbzYEZPD{J29wU>Vsg2yOz zrdVD3bVcJ9`O5aNf@Q9Cf0{nt{3P854AS`o8u6bEc-!l~?3c zI6~QZhN-gFycR(}<`@zdItP>w>^JU-3b+wAN5Rgui$H4b(2V+!tje{h@Jmt9(@W93 z5dwu@9sNr>8$L_Vd%q^n&x^FP_CdVjTAw(^1dwQj# z5SbwC%=!p$Y>M1_JWnmhBLejo8Vc4wZD-B6mi3E>I`}NDGM6E$iKyN% zqwc+0+e=6FO3pQoDC!Ax?JS~^;&nv_k@zs zQhE;3Cc(yYaFE|oG@=dRI5b3W5q{IL(2!(77ie<;kMuo%d&16mmUd9) zZIa(eKy1#w*;QGF_gs!(9z>Fd&Y252%4BI6PeO6P+&l?a$0yV(p1z<|*?z^r5!+{ zM@jUU$78LcG@izL7|XTfp?*N`st^Um(YB9-*pj0`!0dB-_-N#E%?WO{KxV7P1X5r>X}a- zvQZII5U;8XUfz(8g&t2Tl95vr1Ne431Bg(9-&Ni&E*fG1cZ2XrwUX(;?Rp-1q{80QHX3WR91 zcUiGT!|5?}=xgePRxb|e%R13E?nOA!%dWY2Os_!0JL7yZ1W3p$Q_es@_t(HAEdS6UYehg9|{`Y<+D)< z!>34tX%f3J{It61zwHW5_m4=@DQvu{m%s8^+Hu-##V|#UdAC{J=Ywz zKSr;xmcBY*PSTGp_!J`x7=}_hCy%O^n_h+s=3Zm?0kR&te!z88M$R?>WYKx_Cx^@l zJYWeqKf=1S;TSQtee?l(!D)`06+jX7Jw;> z1mGT?wCGptyNV(4?(8}8vE00Tj~3Y~ORQYp=~wzgk4QQo{)S|dUkV%GOzD__I+Jck-4}<(l`x*eRJOIyQduc0U6uH}$ z0GG0dUWgO)8YAv;M%^8*HLGjOImn!JY;!@M-*xf11PWJfZSNRoN`86)ST{vKq(@~A z_%%cJSO>flL}YW~x!pVY%x|w0&daJ}%2RJE^jjEpDx)z+!+Y@3YhI3h^!cUde1``e zbB$A-r`Jt0<9yM3Q13&Gpai~ZKl<@25Am#zam%j&l8>`=FlDd~nd=POQt;q*jDhI4 za}0}*ls=lJU364EpJ2lR5Apu{Rrjy>7vr@Q_2bku34J439+v__${ zQJ_hRM<^hhYKr*3fcezQ$S^DlQx?yWiHGg?lql7^zgC|;Pl{H8ieBq>US97>-oheK z7~X$e;Gt0daZ^Fc0JCi0QgImyP(BMPE-&X=7(9*%4th}UJZYzw%vH87uZ^1pbrpq? zo%ER$tz=Tmd&dV)jLKn{K=Oi-gQ1&g-AGZy$ck3<(Rj&t%2-}v`xNJ|{wZaecnTDY zWqX+5)8e#2)MH|+K^1~y%@`fOW3I}bh0~ZLeGlbz5eWgWQ7jwxPvHu%L zB+WJ!nGn+s#|>Lxa$}3RCuT5mQ^J!>5h`Y5dSbeVht;jLi*+bc3DlQ{!8|Vt*k~A# zCPGM~H$v#dYsUvR&gms3W`UhbQ6Z{=l@HO521t`S+!1}+#A-_6_kH%<5=f|#3_4d& zqSf7DFU^jaQ!NE79($>%jLzVX;XNX01KuZwA8FmeLl4=>b1hB_UxIj5iQf?TnRN^Y z%(Nf_3W)|n-jsYKb#kALd`F33_!5;F0TM7D3Xw_#nu55v8On5(v6?hnBoeyo*~1bWQSwz{^IV%J5E6urM5I7r7-((Nva7UtYN7|uT+PXBMrlDHbIoA=*o4@CY!au8Yygxi8J zDq)eSH78(Cg1mKqC$?3o0CHpWP555X;aCiNq2&r5B{-*c( z4moj7Sm0RH=TGtSJ!JkJAh<2*$+UJvt~V4oc(tNWLB`YK9u*kI9S!m$Y1q+NV0?gz zD>VlkBZPEYWf1EaZ&)p<3$#U9qqScYbc{ej7NicQz!S%=8$}b0D}$Yp%)vhz0-HxCWIbc zFD=HG^%xS>+6{rFSBJ&^?y7vbqPP_so(unobVeB6Ed>4sUK^=EVIN^kQ4q(|mKE@5 zR?0jmzpM8~zZE5V$3Lsjw*0*kGw)wt%hPZ@trH_`F+tszp;|xd8PT9tI{^hfm zSG-?;&Aazc|MXAE(3QSkym;}-1L$e@w}1P$;Q`oK*{@bl(yPW0ofkb3|N5{0Iy~O4 z>!r6^=gsH$rw0TAv&RG%tN~XxX29Ec)mH5fSKWim5(C)X7yVvRyTZhmqkfy z>wpGxyoQulT!Ox;a@ErIoLQayic%v)X%n!@W2@)KkLQ0b|D}AI>Pp{Ph=)17+!@i|Q$Rpy^Pof6Pl*XS zfeHOVViEE|;#oMx+z2J}oTw$;$u`CBJR z{ubVZt+a6h@6q~K)?*)83?pU?L0j-8WB8CxC=}$Z;FZu}Gyo2V$nS=VuSbnUeR&vTVmb*R!b_Vw#ptp}RD%i6R*c}c`he4f zbzg%g+8htyTh2#Ni(T>0l(KK?5oi$+(RtR6JbV&Oufw^a%q<^tJ2v`bSbel^8H*u zHngbwEWeHP{zA7h=E9!xEWF+Zbhs@T<~gL;$oW0zw{KhAzrw)I{Vf!cEJnd+c6GO@vyZH>2J_g0SIsITwpD(^llhHF!@cRSB~bdtTWW~MIN@r| zy5`PTT@y?mHOUtT&-}((fA>Gq?qYyEhc2UF56+0Xah;M8X)430)f|S-p@O*)hN@hw zuI21AWI?d|E;(I0GPRrZvEfA7^UsU9l*mnrt1c(=`4+!_$^P?W46o_8tuMa_fP6xj z`3B=yyK@%-V%2;1yr%c#1N~IPaIWBaa(H1=81clhZfiuGxG6V1@Ll%6x8Kdb%huoA z`v=2xr(s#Zq%KfEpJB<^g%R2A za}#q0D&Nu9A%qgrq&~&66{SFfaFGkb_T(yjOaWjc$Fy15ZWi(9>c>V|1y{Pi|a zzO))J#Ryk7rTywwG-z%uW!Wiu2ScImrhDlR?%u|;>Q|}G+}R)p;$U)=PDhXND*PN! z<;&D|~27+^1^%};-mtKW5HY`5P38;sk;avpN)!EyP<;u4^ z%C$5_s2u~AjeFIcT4?y>m#+ZC?C9cgO`4yx$W1JKG?v&(k)o9#7U z)GK?wNpx)-iUvVQ8(!l@^HKv? z%uzn7So7zF3SIhm3T=(Be1=QY%aCJD_i1+KCLvwt6BNK$-&aM&kzktPM)?@UeNId6 ztBQMJ8=gZ8^)?1JHTKcgq{n?x90C$1l(S_hJ!-J~>DDMd0BsF6hmS#%miP3$7%9iR z95UWf43dkhg%?SyVE%I7PH~7A`>nFRxBR7bun-6Qea`ck^UIzgWVRM2%X^$xVLO&> zIsb|89&#GnZjVbFeN`nsd!9p7UC6uZM8ljoRvoV{de7dsx3|;Z|NY;mzx%ttOTYNV zFVZi6`Aecvt))Nvvp-933m;lN>fO6{10ek1gAdYQ{Ka2Hp2ENRo4=`kzIp#W?g729 z0_4K*!JS3WMS#Gtqihx>J@h!cVeFkMy#cCXKW4SMLzSFXxgG`LT#_~RYz;m9Y>D+* zevH4>@s&g6$M764uV=G=?dR(pcy&p;gI8^QxjA^G4tP_ruh)=2q+`Z>$+%~R{NkRj zM`dC7e&GN-_z3^uQC`S9>{H=wiSY=;jXv|d*OkA9`yLD*1Qkr=&g(YuMsMHe9xvO% zg>NhxwJo3*)9ESK0bt=3cvXqt0d;1K-;5lDFvtW>&`S*i6a$|HGW3>b(9BEVB?Y)*7QDZCA5tr0vqbIQDz@D7WNb{FL{4r$s6Mp7FX z^X~Nq=@?O_hTN3f-^@eju483RKW1yl_{v5x2ZM;c+7SE4!v*s+hfbSIT^UD{$sEGa zRUZ8fl`2P~sSE=AWXuIIL-qo&GcTbz;Oou>=0-}l)8>HrG3i4`KLD62(zESX`PDZy zZ36GtAxwQ|fGm!8e{%#7McCIh0O17ygZZEr^1ldb4f81j9?mAvZu%m?XDG6>(h#+c z@FsrAi)dVFu6Fyn!Jgq~LCzsUpy64KEU=Com*bH|DJyB)xJboNT4zus!6TPOWA zS#PDg7z6KOXgon@u}0LY2G2WZ&may0S5T>-o@)>O$$XBkH^IIVJhY{k?INyzW}^He zt+Ma6dWybA0}>H&9D8*i@YFS}?(`_c12VBjR@*CBCrDU_|6-Zy0YnCqd~;k9POCipaYnOs1LI_Ais z-?S{)*A@umM#{MyRDD^qoU7?I3?ExJ4C|YU`Y#^1B_EE#?u6$U+c)&XNUvCADUG@{ zIywhNtxuf>4;28Hvd5+4_Uerb^HeI6D4$_uePvOuaY4%WSam&FAEs@>NiJY^3OH^Bs0m6o zJ@N$Je8=%#9c_$V+WZ`MJD`AC{&3oqNW2k1LdwMMaqPS&_;j>$5^PcXgnG zYXXxV)SBPl1Pv{GnAB!9fyfyK?HYA#Cv65b$`E#hTZe?SESltuqpdCSIm`ik=C&WOu!*NZ z>X2`e5O&7HAHghiVNRz2hEtf^Mh^iRMQ;-+pe+Jvx0zeYq3H15F|ZxU;QI(xB)zW> z39HsWL3o6zvGi$=x`&m9hY~(Ujp|_f6Cqwy#5ad8(sXMRkQzZ1=BN(CvZLkQdtOvV z4rVZScvdDEyRgMpCv}oS|GWwCEVm=_7z{!SCI*k1n3}*6)VzY<`GB z?;+tJZ}-v&L2mGfaF$qTkL%>Bf&SK65A7Uad&FMeVsD=ij&kM#WIdx)(R#mV69oYJ z?K-Zp7ekZ)4B0@WabZz_K*^fQ#)OK34wglA6$%*ERj#Eko_2;U%}|=m8d$G#T!oCZ zx%4cCt|{&F-{PBVto$mlr^mWVH^5lxQ1O=G$rtY!JV*y-C>3KLi5h4g?c^_G07a!; zEZ0|y>laIP@0RN&XxsH}1|al&?L^1)gN8UA!tJy;%B815HI)$)+p6(SV-T*k8SyPvy=tkAC5K0VwU8au>Jh z+y_OcN;lu@@K-9A8YodzMNUxC8Sb<-9a1;^2<{pUj5N9@^dIrSC+tI9XhpI238V@V zGI9|TYy*1nrd_IoqSMe+_hS z@6%5|O+Wwn&)@aZoAclI9*D(^lmIATF$doQ12aPn#(wNU8Bh0T89x@1+^Moy`Fjb# zd7A6d5R<;UPqS;DuThub#Zs-`>UeyYK5?MXAZ7^`#`o%^H@=r=mhGzUSl*@j<$T9r z;b&}u8i8gSa=^%z1}-l*1lwQc8{~PVH-^F_@<$B=l139xsii_aSJnzIw$~eXHh4h2 zQ)tp5fC9PR2(SMx;9!Ilg_m6rmc!^YEqHpU;p;bAIpW?Y$TPzrWQI2=8fN%meEgBM z)+cxY5-Eg)#{hE(02DpWctE_|p&J?+u{q`#n1+E2eI&SOn-}mF@&R=K!iJt*2&U^J zJT1`+bcefmBR<8z6wUP|MLmIDdX{+yFHGBkvC@LPW`czMP1+*x%(IpTMm<{5NiW*R z;0`mwk`B@xWXTe4W#HGJ6W z4TP58K*@Oy!-_(=c}KW%z6o$~7ilvInu8@1q^7mJSVyzx>ELXKQ6`Tvfb7vm`xQXy zjm?svFNlm%A0Xr74caH8Ym?s6ysgu_ckHIDeZRCcTYmnb^08d#E!rYwLEx@;okfk{xh70DN;8YE-+eYgH z9$mnl=D~O!E4%G<({1uEpRAA4E|H8hG&iLDI^LqEs3Y98S}pF!g1C#AbMzban`c#^w1DX;R|WTv!d}kv$=Bz+YVquPx58Hf3_I4B z?J*h|MuCx1PtfJLDp|Z{-*8;;vx}$TD+OSz3_Hpi5HNjPu|M@7#9%Il;Z4`b(8Ay zyvv$1LJ1>wWznnf7X9>;vyMqW^c=&}_BgHgh>YSqAOzRz^)`)kX{W!J0m^0N#X?0lS1{~VoXMr5pvaHBKsUl5`?XKk7C$2Ds- zD(`(&c;UbW`l_oD~oqHoGg54=}BU?{(Q`UEC|d~{g7 zL&?(%goHL0Za*Omm>zg@K*EgkS}5{V#33s2xnyeH{UANELd)V-=$7cF_;PdfyGP4k z%6ES+&rvy8)*}nDB=>PF6ndOzJC-U$7J{8O+6^&E-Lpo+vP7FS7A7# z?Ur1R1HzyzV3rp=V|7P=iyE~?g2-4xSXwghQE@Py;4TPL3kbgq(O8BL=9x}{A+zrg zUJyQN{7!^Vs-i8{_ZFVd+xi4POIW(acdq9s@>`S@oGre$VMYbqCIrPd2jL9KNbkYW z0AgvWM_3J}&s!G|#R;zw)?zY;oi>d8<_DbLN>8zD(}S=F1A72dY*O>~F}?~D7~LK! zWW3sDc$sAYf;kTrO5L(Mqa9;Bu-1!5gd^Qb?cqu4fM`weEX)C#NcT{Jgy*AAKP~&Q zz?;H+99pcJe0~VCGv<5!Ko2hj!mv1tTfCQlR7wt?Fosx4j&s5ak#|YlP9ZoO0?d=3 zJ#`qTw$_mfsR)!^JW4j`w>L@C7i4-h$r%?nmUCGQS`I@vMCp zp&gHx&h0eqe)wv?p;XU@Tm*9&(~+ryQF9`lU{dA}UC^snoPUe+m)~rIUW0;@%D)!d zNHnDsPNDqH782jr@0Y(DuJrcS&j99rjK|euK$Wimt=Ezv87Cl$8Y+y)V|j`g15V87Ad|dnt?jC1IUwi&ZnyB7BotEzp|?e&T3F3? z3GKAjxu5pCyJ?SkZmz*C7{!}%(*y6?179BgH9&X~n8GE4+fY5YDx~gn6Q^^?r%15u!PV)jvPc-IX<3dqcDj2Lk z9+tN<*C2IrAH5A~dZ+shufQ3~WDS4X6M#3KzexzIy5UTrC$pxO4DNNd(N@?RJPK*2 z^j5I%lkq>}b$AN>dKzHb6opYiKegFY3V5RP_CXsLY;u~!SS0Du2lPvhyRzH{7^eUg>tPfgC=SY zHNZ2-Tx4n@m8EJdC_^Ea+km@CxscdFW4*;<(j0GGBg|wuBtVd7kQ?!KPszLBYYCy*@mX+%T$*&=X^? zgbu{Dcwyn?CXH>tYwFn)n+>vaVfc<<%uBjtyGKN>m;lhVF}$_EcDpEIt^e8uxz0S< zY+iE!J(c%0U}syE?5-E7({rf5l+7@UBgHxH;FvnkkVeg>@6DKWJVyd zg8(+?+)vY#;E*{*8f{o_OAF7z2F9>8^4xp+q)jM2`sT8t+$m_{Z8|86`<*kwVZxtd zJQPMjw4uNYFqQvJzm}eZD5RCc6^@u+H4R~D*?Bu< z9_ZTu;zIAzN;@OdHw;q`@4E~O%)@mAMLYIw1;Zv1SaT}8929?d&`bM(*%OR^3k*d& zgm;(6m_PuL@R9LG7)j=7`(&KH-W-$bkolkCl?m@BmM~>}RNi+PGyAeCdYTDP>z&#k zKZi#pbS)7CYRx+sb>5DBqd9ii z98J>QW5RB7C#Zdqv(Ai)Q?BKzW!HNTuwMoNerN&c zjF~u9!XIMbB+r`!aAgv>U%|7Po7DVln;D^K(eZSMU{h0HM&DG${;BibJl-B1(9Z@f zH6*5CaLrw4n9Rx9S*$5{&<6WUy+hy9hMYd0V+bwZX!NBV&q^bjT)&`~5#VJXFZ;(( zuqB^d)*-ixzQ*S+S8<#tXc)Q7nK7*R@*MeBzf+g#NSd*>%39)Y#SAiT1^lJYTY`iD zsDLn2bTxC^4nKSjL-2E1K^WrjI$ZL>D=j(ySO8j9z+eGDyEd@w&pe{;=G$}_F6>R@ zhp)dTWz8_H9UkEbz`DD8FSV{SCf8~3g>$M%P!j=g22^j;GPE*Ngpm>ectD50sOz!U zJi(xSgY{)vmyNeQ$MPNm^6D!!67TUcmul!tSK6SHL7O$z03;l#lV$z(nY(k2SH*o! z9izISeO~VxIm)z5C+yX>p-&qe3twS0P~GIhyU!i_D`P8Axydu{aBoxV+?3zn9=Mz{ z`u%<0n|V*IVr)KqENk@(R8C$iAQCeS)Q|G+7R&U0~Jye zEcp#18sS9?!U4c+YH8ZR(_jW;X)R;;PW#8aNN+2ZHH!j_QA3w36+mS9fD7&wc;-q) z9TL$C3eI`;m)?V6SqYOyT61oWa+&9EBAi`S8vM3_hnA0uE;G%s)Z8WIuyET<51Q-tr#hbW#==(LAe z+fHD@T7)9hbCa={tbLs3B$Hn)%Bn_jRarXYHcXMoC5|y@C{|a`ecNZ1u!4$pnny?X# z?k2*Uz~Ph!;BjM(%nbFqb$8sT&{@$5PPrQBb?8#%i4MttAr zRn?a_@ALr7d01K^i0j&_MQ(%)Rj^cOWFN`!iZ0d=xURv3YxVcG`El5PkcNcrIvhM; z+gzl3c*vfI;rxb!(px-Cr~41FvcyON!;IP~I~pno}e2n&>J5Ox+I^a@3uc|>!7!OT2^P$vyZ1iW0l;qk%R@%mci z`tvYtSdeFlP@{1zN(I+cY)))Y?&VQ97J2?SRvN=dJK-b*8v!*X#R7|Sz`+pWpwn?a zUXKmdZzvr3%t0l`Yy&RVQBp1l z8#)I7t%|j&?xJTHEw1+mp6AZ=U!m70cqTmJy+=rJy%AIZqsqbhJG@KSb0R7M?+adG zl}-O?>8_edfK~718XI4Zl4XhlN?=rlRL8Jz^kaj%^|iSJdB{;0$ES>-Po#>kl) z)4w|D=KZDzeqcQ?X8~l(Q1>d!3ji>UMPs84g))nYMU}}kvX_LH7dvRV5Z#O1tzDdD zSpW6U~9-iI;0NTZa8-92ByJuFPmxo??^O{8saHUQt%GR@2e)GDQcY5Wgl`n5P ztGv4rZ`feDMyde6aNa2B>BZs(D0tu=k8IZfJO~H?&@a_*#U39aH8>g}rI%iX@({fd z%2;-_CIFPVwmUM+?@-J)s29)-+F?u0`Svcw{k@5CT#v{s(liJaV-0-^k0CZgfu&l& z8855V!wRD!e1l??1;9z-y z^w=U94Y6LpmvQOhEwx2jml1}H1v2#@y8~dv+yQ8t6Y}-azLj_x;uiVHJQEr7HHn(STNxp$^qSS^oBZyu7a!((DPsyeTUWLsorB;YifhXp6jg=& zYJWzWiH0EI3x3y-4Vt}Rel_m1O(5_QsYUNeLlo!JM;zPc{zQJk_;ZFQ;{>nP3_^Uo zHAs7S4?bJRwVLrzQORq z5mwYW?^xkM7#+r%$O@hbkh&m8{e(HI(H5F8jBuHY71*`BxxMA6*5Mb|@lrYg>{#C< z+!h=55!RzA`~c~a)8kWMg~js0Q#h4{^a{B zkknPO&Ue$@jofe8FQ@RS8BwPq8V})&`MH$A^ehYp?c$TX`du%(VAKR8wO+oWL?ja# zI&^KZrmqPuT~Xa{?=Ui`Aye(E0#NwcJBvyn!DGDNEJeSUWVR_0cpA-Q zl~1T{qny3ry5Ji3p1a8D0)dH_;< zQ*L_T{pkUfb@Q2wkgy<3rc4uxI8{_rlxuU)s8KMdFl{jZ3Mm~tzFH9f8NVwJG+}1d z>q(Z}2bbIO^1b?2_Q|W?s(zA1FRu$$U*U}+*yn~SQ85HXco)bpQHk3w9D!%WxuuA( zyf=+PAICLVl<;$ahP)dZHRIXLH{`SVitwVITviixm4B>}gKXMaaL2Y>=ExJV{s1V= z1C+y>zXhjdTTlir=)V?Ba1BPyr0qFGn^U=p7Sq?(^4hI9Ruu_?w`=g6hCUHgY;ue) zkAe;nMdHg^+JJ*KzW3JG_z=QsfP;E!)&cewSSdA0Q12Mv@Bq_7UnpG}8k1>Lh7jct-e9BdZ9u~35n{Aa zgD{)#u#bf%A!Q05fD0RfV3Y>oG@;alN!Vw62=~&&gA4|82d2gN{8nHKq<2wB5+i!5qGc@EAG(+Y@SOV|`h%+x=fkow_g*ETl^Jq|pR8$ah zr8Wd8rN5kGaOrppogyFtaL~`w9;3$C)U|v>m~3caJyKbXx)?!uO#X*j7vU0+a7viN zT;Xb^$W(&0mEa&c4ySB$gFZpVzXs2~Qq!v+m9131GR+*?=y&_v$v%9_W` zY1oy*+zjTcsEU??tdo#R*-SGgx7MyvnDmBi$#x0TMH2Wv`>V|UF+%)cY5jLDSa5;+ zu>ymkNOlnV4`AN?K4&pMJ^MF|8IEJV?&CSABInzb9v0ch!>_QiJWFStU#8Y48)+;5 z86ibcFVM!cj?!iOBxNVNI29VIcoUrlVAzDvxdH64Hv|4G)=*A0S?GXif`qk+R{4NI z{)Q!f1r9>o**Bm`?CAlfvgb$(q`Hv@5U{NVsF*`D4JjVfi)U9c5IIJyp9Syn@_P0b z_9D3isfxg37=r}e<+wm4_0;k1D`_BigB}PD`VvG7Kr)7|Jj4E!en&t}X%C9p4A8TV z=YpOPDnvyr2akvca~*31A3=k!+{Vx$$hLf{l4)M7u= zgOFOWtznPmQ3FTC3nQ$^r}ANXtPt)PMR|A<(k7L&=6_cB)sP4kI-z-_r&kvsQ`D3S z%R~-9Aa1fYYOIw7&(bK);88HDu-JaPi?*z=3GtJExE+gOc}{h-8X_LpF`wb}XQ)s; z38{tC33nBYL3P2^?*f8Nyjfa+ganBVpz%_Wu)3%3&J(NTbF?qMl*gn;aqPk^Vb4n4 zIM>E?d}o+$%1saaV0&QB{%W{Gi(y55sf>>W!XnY=rCcuV_3m4M6|wSMaOJ1++;Zo) zo>AvvcmnDH*d2ewK7+A}AwwxH-Q`k^&mQx;$J^7}T(?dhyI*m>iufn~d|p5k zWVI^VMQlpcpsaU<3?$&%A@p(`9)730&oA#%Fzyg!f!8oBq9H@2gzsAF7|Z26n>p~L zVHt7hay+BVb#Cg2oE!#ujYu!?>`VpZ3x4Dw_#NI{&44l{Jr{Dm#yWcITa>3u?|KY! zjCU8ZcR9`%+c|-U>H`wW6SM#j_5cfk{{SU+@s2lr1^L@Be%Ts9%P~kgY#yaP5pkw1 z=3M=5da=)MPw=Y4Q1#%fNPC1yKQ_wBvgkQj$=Gl59<0t+m!YwbAgYG64dz<_Z4eI) zr@o07p#X6KNLS_@geRrnYj}}W#XgJ|{psu~+etK(@tyR+G5iJmO~3I0G=2x=H+k86 zcm|p1y@4klkq{-7JdQ4?taHU-y&QoB;N7Y zuZw4EV|>)bOYA;t`Dh(}3b!|b#K9V!$hqnra>hvIxeEDBc;A)PK>L`9fPwSHG5pOL z{2{#M^eK^J?nQt4Ta5@dIo_Z-##cG~)DX}wylm;~4)e>k_~pSy`q9yP`Vw7A`zgE> zR-YPjZ;+4hRAVqb7#SaPf(p2rA5{an$eT)jLmGUxv`E0XAet{GikT8}o*Se3zFweKEsZ(>-XWg2BDn`36Ay zPF~9NuhDjVY52B4STBJ>_Z-@a2XaBq(*}kDf*1^2SyrCE23TWQ+6nWe2hZDKU7aGc zfQ_dXc`zf51O1Va%H}#n&p{?vdFq=$KgJ>kk$%Jyf}wnMOs;dU-^n@ji!xHsr0Th@ zdE=tfN|Tc(X?8}6r-#qdi<6J>B4jmyrk{2n1y3(n_89$Kc)u~8&Vv|J=5&o$gK=yz z0oP8yW-mu_Ai~#-+|_IA+iCwB>e#Moz98AJ(D!M~_yUi|GsehhWZR6-8uE&|O${U5 zua#wn{BG2;9`kO`{OfF+W4`}r17+Q^xUUPyJ*U3P8&Pk)0oMu)`nwZBX{W&+Y}}ig z@*?w)#hmh8q>5)}>FyC>jRE`{4+rVdhaaULI>#amdXTLcqfO}aF8WAAp?(IyxyR>E zS+585k=}}56YBK|YuPZS-qXF&cKGh|mhD(Jnz^Vhmsub0j(>~m8@zI!#n&9YgZWJr z%ONWqMDzX#_ zyP#eTgbT@W$uGD;`>p)zx2nj9S7Ky!?BaWQep!9o)r!Vp3dOTxjq5|Fo9g=oE(!>CDEB(@SRbh+HS z^b+h&C4AAGv<3ng-h&8IJwQTxLP0Q7Imxr-Sof_X@JOf(1yPmgUkG&+5lnzVaNx9w zC&PpgXE=@$zZ>Ny$fSWJa=b^w!+|z5F%`=Y*7$)+c{j)4kh<1w6ny|lIK*44Jt8y? z_n6Zsb*#t?=TRfaKpmy0#7JRiOumQV-TQd`d8Y2%}-0m7<{zAFr_ zxA)^!9oI@w55gHYGQ5myLl48!3K(XSn>Vn!6=)P7yeaN82zpwCij-3f4OwT-lwoGx z?;eVL3{MF`D==s=w*cXh6ACB22hFE>v1D?b3gIxgISl&Yix=q-rv7wmJBfWOcK*3G+ht&e8)_aVf*7#3oE5ZWwxgdN@HX~Hl2*nJvX-23o!;989 zCPA#>4Q{B>yu&dJKFrOT&Dl5bwu_vF5K)yptYT2EQ2^ks559f6{1iq^9^$Hl||lSfA)3SoqnG7W?zy<*L+9RYyE7r z3-%P^B|y7u0k@%ThB^+TBl!yFQ&qUc94;jgXoy!8un;q9*Z}Nv1?nwmexI6(M~>Gy zN3I6y9=h1FDgee{un0?qWxa~p+Ke@eNBu;4!1Hz>^oyQ?R~4>?E z^}F+BvIH3A6S@Q)x)dO^HtrYAaLTMyvm7d?KzYLIkIVDyD)~dVMf-zo@>|irmD}HZ zyy=1WvIoo`K1N&DbvuViGA%_|1D+b6nhunWmTOMyh2Qh?d zqa|F-pQK0I$b~40PuEFHfPy?90wk?zCgk`q;=I|WYZXq6p@m>*WT_%OyvRsHl7|=J zyY@FLBmf&)!~6Z%r*Gkj`T(~zLds9l&++uZP=#wQ{4`j5%uEJ=R>;x|ly6(`cn7_;boo^KkeXO{8Dxa3dWy$OB(AKBg_L^x&XKKYorv z{&p?>;S=~2jGi6HE!sW8yHM{si*wOF4G(8SAk$X~;L&}l3^N<2z4edWrbT|CROqkF z7!4)75Be}B7xl9a3V_fWc^6st6TI14@MUcj>gFc2IP;o(-{$xX*`S9azs_&ZQ0{lw z2R4}Rh7?WcGt}*j?g7gJAYN8-l<=Xrr~k76hA%sdH3t7a7l>y3%h00qslcFu__rwT zGYu32RlRyJn~yN^m@;4DIq2`z5+O5rz8sLQ14uX!Amy1i)JY+m?ee)sUql#Cyu;pF z)PXSH3`-i(UX(SiD#&ob_bHn#$K$F~ztiItJz?F1QtB;@F=|p6Nh24|P$D&l3Mbs}!GMs@%riZymHkfvV{NO))J-Xet<&H4 z`MkzBtaDA9`HQw3<6Xvv>+6Kft)rXBc~*0c+Qyvk3!cUNy5k9 zqm2@7gjL`I#Z(WbbPHaowcJz$>DB?3TINKG4W(q1+*Z84gapftzT9xCJHG2XVjT*} zps#Ko{IhmLp4tXq3a=%oC~#5&2eHK=2+CTh+?$5d5n`c&l4qL{nyg9NXD~fHxMwZj zd8-P{Qds995OW(&Q{jn@IfqHdtdM zv6{CPJ^dzJ>-&)YmO0mwPaF^06qsBCB8p)p?IBz$IsObUIwHL20~ztHVAoFS3ztalOQ<& zL1jX9fJ3ey@DecOMtV|=*6*RaCiEQwXhGPMgixY%&?3yig0Q2L+J2hsEmBk3iA*0%CPDx@EA;Mgoi;8$!~wk0Na^7gpH={ixWLXVg7g)cz0%Pn@~O52rv7Q z$3P6kHMm-oAy>nSItg{Eli2D#A+YyNi=d-(pHzuak059inmv39GeAGP#S9+tSa-hJ zT?7L4&ib|Ve_6q(mYk5bMa z0Y{yRGeYZ-*F#HF1xZ7QCPEvRIV+fea+$6hg-sax947skYft$+XFu#?8QAOfQvd6( z(~I4`bSAUSHCi`n*{!lE6gp0DiiR5Is@z6_H0u2d!3`jf&|!ag@F(A@3+I4GFZ#b` zZy%@A@ndpjt}!-uUt7o3O%Ns0c=L-i#z>=Hznz)`LUgSmL=0~M3gU%K{=vvQh-OdF zFoVvi6fMX*W0^sdYBM&II=QF#y`}}Fp-6d56@ZaL2%73nqHrmwr}qcFxNMX3h5n|C z4bz0SiMmkJ`2GAG>H^3!pJ5GpsiM~(RU}$#&`be8FJO#9c?)rkFj}_T!`5ZH`C!h$ zg5!djb?VcTWx+UPcq3}4M9pzcu6H5#(ECK*;Ht7oNGyTD+p`A<*?^`z-4voX$GSbd z`lu~DBfPitF8ad;`MOXq$Mnd7jSzWzkTEj;cYw=g>RI zd=#st(ec@QPawG{qsQ=DJfp{{BSMxlFW2c4EpKb)8>Z{qh84$v=hDJqBM=A>+D$X~ z5QX15MAER#4RhBJ-m@z4Xk|01LopDpg>tNx@5^(jx;*Y1=gi4tq<0N=u=FT-bnzxM zZ0L2$ob%d*C~YC8OV^sz@!GYv!+Y}b-qr1GxA*s57S&YKbkpm!&FhyX&bNY_a?=Ap z;2tPYimUKf#xOJ>D~P4;9?U+(CuOcu#`7~)YW(K$vbccCR|&S2NA*fS+4|?Sck;id ze)m^^g+ED~z5hgnlg9x77B0|bspB!&ncOQwkv7O}2DmtDVO-Gtb=16iCoieie0BZB z@73|ubIUsT%c5WP{88kswsUq!zWA)t6KIHFpdLj6qVf^!#WllkLw~}k7R9-JR|=gLMHY3kbJGuH`=9**wG34Mwb%AEZxS5SkS^djrM#7>`SmhTy4( zrx3X;Q02g*U`PkU(Zpl3Nu339e!qR1c1R&|?*z}qgF^tuT6(@0+}IK%ETb67Z>x`R zy$BlG(^KX|q;VjGXzpAE$mFS+XYiDORhAqtzXe{fbHL|3e*#a%n!p>fP{ClRUgXvp z1NPvco<4oCNdEyy_)|c_7C?sjjT!*(K$(5njrLC#AxsH_Y(ER?dLRDPE{4jDUta%H z8fZrlPIj{rR1VeG`KjE@u`_(BV`|t@44;O`>MS^9GXC8NaPd7guTyQA&O(dGaAuIc|gMnJs~&n!V)~uyQ_oD zHQ@LrePceoSJy*X&1-+D&r;A&;l1?Q2`>)>IH?sfH}m7_V)3HbNP@^ntLJZUecT^4=Jx|usvnY&!BZ-qhJaQ_Jt!NkM;Q+ z;XkS2PIn!hBKwB4gkcKB^0F&dZ=j5F2cSt^rQt)3mNJ|y(xW4QH8!tf?sG&Qn~~8~ znEUwnrLM+C=%#btXE+^9FnlO76;jThCC&Dhu2Eiw@|-vGw0;czD)5*^_8pODG(&mS zK)=)`%E30XTTka9>;2cmo%GKO`k1IMf`fWGy7LKkwwTjfjOF$agJE(UwlGjOYLO!w z#_Q0xCSgt6tbL>Hs5jSuv<@IxqaMqGI$iGz^Te_~3Z8k&MmJ^MPw3kz-s7yS*mvvf z2gjUqLfFwA3=Q_S0Ub}!^?vnLs;RfwCrmVZP88b#02nD(UOWexL!JT@3_S>ws$lO@ zXX2h-&P7`7{0t>~S;Z@VX_ujoGa}H0moC6%jk#3d;U9%(s2Pz79g5*_E$UyN{@?hW z{J-b{QP-%#v~$$ELIQ%NqM3Yo*#xh9t=KGHbfGL+=sk5lz=k?K`+pc)=G6L!Dc$~4 z=Gy=E+ST8?1K&c``n`LWn+E*=dSH&_m+Y#R?ZR7S!Im=B0i3W4B0wN5P zZPkm?3&wa41}FzWXsPlGZb2MPOg-zc!DIC|uLBU$$2m+i+gZ6E$Nl26OaJ)u8cbFn zfG)s7cGnTacf$VM!o$z!?BY2nNI2#m<|RDcKv*D@hk~s4ny7@tol9U)!l;!_Rm%KH z^aHB6<_UyFi3;E;`fnG@FEr$RnDh=plHl+Nt3oZ`?DKUrl8qtHjFqRM0MZ8i+M{m0 z2LmLe9=jyW1W|$lK=`uHYA8%$or9qsx7YF9*-yuR@F%IiS4;n~g<>$@N_Ph+xEb*~ z5LXj>>+y5lg2Q5fQ5d8KASPI4*vn94GlT+FdKSviSoAc6Kl-f|iJ^K0^~CTKPstsACS)cC_L~SX^r`)(9y-T}wxw;e{!^r>k_Hlc{w6 zRK@#;#~{xSh7`XG4jOJ%V9?Lsv;<>F^Q=ppU^RrOecwheEMN;>mCVC9VO;dyyeYq# z9?*L2lpHrzE<9_U0?1Dg>Sj##1$&!9hecC~@UmoJ+T^j(OYL#`*R+N!?f&|w)7a_;t?rY_36 zCXDSZ4LMjWlaD`PLc4*LMGIr|xK&|LOh*2A@NWob2mq7EX_K(NzsAz}Q}VY&c$ezJ zcX)r%|BUraD3;L^1fwQlMGVt)^|P4Eg=LOVgynq);}iFdE@O@nPkjiZjwfAXjL`tb zJpuOVSw|`O?%ogeL^(uv844RZ(^!nb*iAsQ4W_%T59rsB00=Z1--KPbRL0b#5K}z z+raN}KKq^FyHQnIUoA)21EkcWFv5{S`?R!Q;1XYjLM!Vn|F*C;y)*r{v^ReU%|XzD zCe2U=jq$d3f33Ix!Ab#2JNs?QS)W-sD(CzON@KnEw+WA|Q0P3(QHXWfsO3G(ZRpb# z0ifEZa;&*s+)F_*JPTFIqO9aE{mV57Vxi>aL{C+~lJC)IDDn%-q96dDKLB5;$g61& zZD1>a?Ex%AIY3`)6sAY0_OnQPaUD&iygA;)cBY(c;h56y+9C{H~`dHnaim z0b}xx3Wt%u)8>{wGQo3->G)Y|1=r8p={N7Th8}O94urqFiD2TDe)Q z?hPKDpg=m=`tNDG_n%X*_6zpEj|rvtF?M9 zH-0Z`ENg$crmOpS56i{x<?7{Io&(*4 z2X|+y!6QU_d7saphvLyNhk7^7Id-bz4Mu#2TzLq{C^5;IhgIU+=ttGs>Ro`*eD-sc z!$#HkrePGVuj(I-E;78w$DJ2xLC*5wdMj-bu6(1nllog8hf#;WjT4>(002M$Nkl~;Z6c3LVq^>w_oFdoi$tW!*Vh?j=VLvSEJ=*C)BWxGHGH|_Yx%ROt;e3 z;C8x&QEdm0m6O&w!1y42K`6X2bEi8r*W!mnka7NPr13hkGjp&t!9$;1%S2%%+Rskv zZNa}32kHLP57S2fIPDIYcZ|`5IX7(p3}%KE)zihfivj`OV$#BR2Y#wEB_#Oh09{6d z5SV$oje+pI_B_2n@4)Ow#20#kJD`vCXqhsC13~dWXMmWP}zTa5oYi} z1>jnaGGCcQPrn5qp*bVvMp76e&>@C5z{_yb%+lw#>VTXn{l}e@e*BcZh$+=2q%&x@}Tl&u3Mk=wIbtS2zI?eF$A0j5CKn%VO&G0$Xo%z1bZ9SMAFbkjCS`-FQokV6(mG6}8st9KO`)MHXl zLh}%s_fX)iDhu|6$V&>-vH&2h(cg7FDSsQq@kfEOK%Vqou8%n}02{~+Wud%wb-b|0Jo|(-zQ9Y%5XGBI@ZhaY)pOD!!%9C~S(t~R8v$U6HUFk_udL*E z^n=2I#rZKv&*~8G+P{q;{Tny;XHP%nFy8|eHn|{U^ z6py!hdlOH$IbknHc&_1n4GkBV9Z`>Avm{7WdXm;+ zMm^ie|E6WRtQgfsqvIi|F2;RA=xUS!$S8e_UBJD7m-zsX^a5wB=WKEtdg2d=qL!g( z3mWEJ#rQ-I+cnma(@4V(JHsW6p~4=94+W`>4tvTDL`ReM^3$BY(AcI6Lm!lzHEUlX zvHNQrL(9n=gq|q(;Q*q6g+>q!*A#OTj)M@*>?Z(_TNoakU|6~N;v_xam1c1l`Z?AT z-u7ei;F^Q94p{gU`S_RVHUQaf+M+IEho_$q;bouo=>{;PJ`Ipt=quL-y|fN^W+>hU zW7lB*`*NSLe)kD=n&EXvKP=cA+=mv_J2Ph~M$2}GT~p_p0RUr9u#funOx(lxLl3|{ z5tQ~he`5zvY>pLQd|u8e*MdMMIuau*IWCDh673DoWZL4G$y0=$LtO_t0M~AW5XG}U zW1R-r?z6hacnK z-Q)E^y4QyZMMLE|vFXGX6>OTPQasKor&J5SdiS@B#ox;7{2)8Reh``VI?r)YT>HwOIAr^+N6-{c zCKPD`b-7kjosxN}lF@cJe+>(ooIG$D)@FnC9t3BbNC^-~tmujwpwBr7`^ueO`(hH? zt^_u`V_>$}l#lQdh)Db#-o@%rrg;QkHo`rBh^1hT0I@JH00MWTc?%{DLJaZQfhhTi zRWa$krP1Fhg$4wJDBH{fKH4YifQBRT0LYt;x!8~ah8fiYrv-x$V4(R5+Wff1?tQ}i zaQe836T&X?5?ZYqOmA*jJ3`vk@o<@gD2?x7Ik>fx4hb*v1(u>(5dD~Ne;Gvg6LMSPTKn4#HF9EqWc+%kP3@Q(l4h(k=l+tx$d&rBXbqq>TH$=_WAV z8Mz1ZO+Y~ellWH1UM=ViXf*$k30$(afB2Z^QigFEb1!9D!9wq8UwDlmp+yf$ zJqHB`!=ur$`3A*%EB84+jC`aA;YC?m<7$uD=g7`!@HJBe9#n?lrhK~|I3c;?)3g7H z@I68ZgJHyT(0q7;f)*{H8wii)53)>|1fv;ygabzrh+1#$h4AimPtX26-P`_o+Unko z-@i|Pic{MC;6X6B1x%=nZjBrsX^*vX4WaNcp+}#==%<`}wa^@8geQ+)E)?Pr{Bb1m8W@4LoxCf^aV{u)gfUbT3*TW3(|(|9;j> zAHpo(g5iIc(nmm35In>CQ?`4zgHq@%3uMCib38};mxdEL!S5!gc7Ga%hSZcyJLtpY5VOsDaZ;S~KrN;x|JgJZuloKUVl=F8t3l+rB z0*(pL2>=@MlMhfyeuD;kM&0l>&>>$ONWT{5alx3y{J}G0XP=iM-Jkv|hCT$7LBT6H zD3~|ON^sEAma-g;pkn^pe<9e|50~)?%ev#S%1d}|dj~HEBpY8w8)&fxrT-agaG`a& z&uyLMP2%}N3#O+eKOtJerx0o!<1JMR4LmC*L>S$^PG73tn`Wfa#L=4;D_1+ZJ9xed4Ia0g(-Q2*ib_iXeo`8wy;L0Zr6MA+X{b13PYl}2^Sd|L7ix<6bVSs zYJP*>L4)(G$FBk^_aa1C11tL-E$wF`yk^+L-T%LV0)HNIIkXg-p;Gl-L9dJ5;}+@j zl?7v@&Ck+av4_{*^RzblAZ-$sa=7t~=mmgL?PuhWznj*EM0f!-TmaCu$z$9gwB4wM zjDjK3u#3!w*ISE_<{IgYkm2gk`YFF(x6Cl4J#E}cqfK&-6E)?F+g~s*PM~>)p#=QE zuv7`CKz4SXISv`dZ4kEfWQYC_rGPV2kdQ%zCcYrt=yi*;!4k7(IoZtJmE!@gjI92k zq@mSJysBpS5kMqN$(S$lAt+d(U>8djUbK#J=WhQ_x=mNLk#!Hz7xdN+)8nmH7#?$! zF*t;;BsU{6es_Qe>R_F*IHKQ=_`ZoEdV{f>rGvx&0xy8)-~fOC0$I*dcAN=Z^+Y)y|cTMo^sCv_-_G&9tX?d9%2XDDw@Mvr+8!b>98DT~k9 z^OXTL{t96j}Cj$4IL^WF{g#~Lo8v#D)?GB&_nA@0b5km7r#)$b%8;G|<+6|0JaC#^R zX*$QFZ?29JAd;V1>%25DMCM`wL^w|O34d2DXx>5BV}yyt=^$^gPc|^p#c+Y-f8bL9 zo`mm}zC~%2p^K*&+)hbzGzOe&Vj$l{i51e4MvRU(`wW^`9u>m`6;)fp@er$FdHr;wJT zU!aoyNlG98CH^ZPu3r7!e}0`S`0m?u(}J5GxS|IjFahtQ=yQd-iXqIhfpx7cDGE~Z z;YWB8-r)mcT-pI4TLWYpHn4Jo;&({yCivEnp)RlBuMEB4R8PGu<*}FF{Y}Q_Vp07V z1dtQFMunt%oZ&_V2(|8aLuo?@Wrhb>is;ceLQ&We0L0U;#czUzQxuAE{qiPr>Qael z>jEHL*{oi+gEon{MC-AX;;Z$}dENI@H&0qv=Si#q2PK@{ zHddW50W!e~t8TWd#XN5IO9P=##WM0OgUSO|n=v2hxghK#`p)FJ18$&DU})FEWF;^N zxD+xmc-IQZU0$zKg>FGX7>7V!J?5^cW|GSqExdmSH!$01reA;5NM91(#;|>#K;R5R z@y9>?NoxP{-&28QOirG#8dfkFzrC#p4ocqyt-?d@3K>Cw%)T-)uIIt`#_+tY{%`Vo z5I!#SeU%_yR#&Y@B5>CqNu%=(faEKZlRF>GYbYRU9z~x4U2gz!@&opRPKTlMVXDb1 zIQ;521QR{(`2vjb!)1+m%Q2ZJK|hNiqjd`Wy;iut&Z8=u^&VW@V=h1C5qZBU->e7p zG<$gbFJbv7FnCP1XRZ4L0@n!6-X*t(LWKa}Wo3>cK!C}dcY=yqE_U&P+v$D?SomK7 z2=Am1cmMO1*I!oWZ}V7jbeQrlzCb{M5q>h81u zw$nqHeSyJ;gc{Kk|W-&5#zfrVs^JUm4c zOZO=o0ejng>q%-Je+2D0A)E{#;S|LU3O@IM1sfk!6QL1$5539}oN8F3vvbD2-I%gL zNVfqEwL+J6OMLks*O%UWP-`~;=upsY2%}z#b%ZH_!%QzkuaLfSJVJyTo>Z?vX`hwF zAGnP8%pF5f%a>)HwpDP@5}`$<_0XXj;Y0(NR*`Fyc3J?Ut` zK)}25Iu#`FBMNBh}^N#^AMg-I^poDpNV2!zO1IKD!zN@ zyrcYVsm`OL=HW$%)i2L$sL<;Igm7l`5}+jj-ISXi_@VT`79K=(Xxdos5NJfx4dAj8VWLa# z2lrf7(S@@-_R2O9TgI%ZmHz*QN6me_rS8L%!lVNx#hT^(MI8@?){`{qet{tczpc~} zU*7O%bvr2Qvkg_vs~47SW4GjBDU-Tg#va1P;YSsj?jhx21uFJx_$a-(A$shu{z%`z zK&zz8p}{#|&;sRP-uVETtDUw{su{6mjm;;A=WrXYsTq66VpzYNy_p-svq0OwMe%u} z$f$>mMv(IM^VHjfm%)3asC|i7=g-K`RA(%p34|G+w#JOrdfGa<&$9~5z;kqn?gD)k z*j*<=0q8FE^wSaiM>|3f!h^zd3^t!vcf9(Yu3Q@&ur1@o!u;s9j_G&w3A~VMp;stb zoBIsG3-)b<9ggaiR*$fqWwnopc5|1_-9EO5HitwGfJPn>)yBtsYoQJNk5Vb^of{$0 zKyL+v^-?SI2wq)Vgym(t3pJPY@m1r^6oMud>DK9Oz(Hme9(;#g0H%%O^mqgCm8e9^ z*04OFfa{+FLj9a|@r1FsOL*5V^G#!;GeVN?rM+VWDaN8r=+W)zBY1=t@Hu^S6B~ek z&-qCYH0H2+8B%(f@31o=jBLI1eADQA)J4X|bEh`gC4W|yc29TG9{lU+7D|2;_A}0% z;)SS=MSgh-uOJ8@_ty?0TJ;Ncpnq84J(#QWkP*S~XdY__Pzip(A&E67;N&V3D6IAn z2Ml9sqcZ79xX*d4B;@2+!|V@)8?B=>Xs|}SW{y{8f%1O@2v{e-rU1YOVMT{1`ws!F z`g#f?t2_Y=M30^JNQ*Ed)MgWQ1dDzr zg`qNpsotOqLs|k78s4-4Umf00w6lOGwY^no2!OB;_5rR&^mCVIdI5lScL{b@=Uw_P zlZt*TiaL?23i8@{I*Dt_Tvt`~TR-mNuL_G`M0Am(!GlNzA~0xJQRO=2KaF(N->n*o zMyO@`glg(|8fVj6sYcGH{1iTZ%slDLNXf&s@bPCDtPbfz0YZVNTl9MyTC~R6owq+q zw>DT@>*(ON9;Gpnx+YJEhJ(D-23$K^e8##&|BDA*F(FbF^5YzX32C%6Khx+Ea5y3o zp?@^ZLDqKRpxYrV@EqB4itrE-%itqQBO88qlb!$+jkq`TH0np58xb0`XqrcGoxKAf zjC*L~sJv6)?JnS#A-iROnVC^f5U}*tC%##%apgc$LDYFE2eq`CwX2nJ03;V&t1sew ztTT&-E&cR@=x$B++TEiCp-{>7H$ZOO{s@OVz&8vLX7E7+ya>7g;yd);I&Hp<$6-s4 zcKD;U*)yLYfayi6OAs~n3U~?A#~r-~=>v1Tj#&GqpqjCd>ZDQ`S1G5tQq~yHHLhuq z=A?PrCmj@2jJ>=4Lc;|Nn%DMt26zq5b*1wQx*Nv4hX+5QWP9kLb;FzwkJ8T9PyT=Q z-m6EpG+og8!mP0AGq>N>W!s!HBaV;|0tDP~$2AhSBOz{(_$Nq6a|1~H3w{A0q?t3C zn*wO6n@eq0AoO$zt2G73RS8=G+eK;VU(Clay6DvSeB5i=eaoZt*&C}P$%+EC_hmyq?0UF}txl3Qp}e_+ian+#_Lwz&Kl;4Jtw-+NOD zFm2Ommb_a;hI1KFo!Wlev2$IxM+hscFjG&4xb|Y6Nq`Q z7XI#g&s*O`opJK~kM{?3I6sqr@qF%`fD%V*5SX&4B^t{&tl||YDtt3U=#bDRLzIIG z?FJ+^_x?UeL2^_@nBIbhK^+yIY}7x8$&1vzB9^eS&s&_gz!w?%26QN73JDYp-_)Qc zDj*f^p)kXHP|rb$M7{L3P}&7@*#I~Kq&r)T4aaKskm{ZTbP4?i`kO<*P8jnlp*Bn) z{I+6<(F)-=`X~uSEKP)pRoXNF2xc&*Z?*x>FeQ2_)~PQ;IcS&-5%fkR2LARN<}h3p za!|?mg@RC8+K`|{$tNc)fb<2BDap9k{?kpY!uU;yfhr2ZGWiL)AxFvpeTI(D>bLbo zUEE_Fa%_@Hu@pb@^C)qQWkNBLh$maOiuXos* zKV|ddU41M7zdHKsP!1jUzCywG2J6Cl+H1d`HXHZYB24mIie81)`hIHjDRLfku$X&s z_K(!@0GNq2ILgCc?Egn79Pujp8B63C{OT(J4$LwkHOdmF4-txJF7^)POB8nIGcfV_ z8AN{rhGTPqB`i!)NA1C?sO!$KJl{S;X!DHlqmRj#^wpQC`{74n`B&WMafoHy6c{dp zyw`q@wbM+mVf0@CP-e8x;#Pn94h(A-<*ZDhxg!np)-?O}TZ+m=%bZ1=HCen}1PBP} zs^bTtoLgeFGuwKds%H;#CE;ibAp_Qg{zCwywZDqfstXYX5R>CB!@V#-gZG7?lj)nh1Dd|17{hAVtDzrxAYl8bR{24bxFOcJc z5LH#y3@kOHZhwn6T~pEdCHu~tA%rqKx4C~a!UWAC=L+M*R2cS)r2`!T9Cp0ztRIzw z!g*!Pv_WqR)S*sY-hP0d9(v(L2(t|(#W<2v%V#Y%okQR-r*T!Bx_ok0CmgJ63MNgw z-f-axdl4$Y+#}+<=1xvor)5>w6bs#Y!W*`fhbSGFP!JY{d+APoYw>Q{%K!XaKI8$< zh3n!z`xLKm*u9TG!uOaS`&-mgyyNb8Hv)e~BVc}=Dqi(-h$JoV-84CdWn%;YU@(9) zdh-gs+-s|y6yI+8v%anTK5RUXkM|oEIy?x43oHK7^Xt#7gN5R|_uN!2?z#B3ey?YR zzY?vvT1nA6X9a2i(|9*{L;PqiI)R9}(!yI1pM@R;Iz8)01oE4fX^ zQe&Yrtn4)aiZ=phze~|;P>+&13MVc5--S=St^T~8+k6f^u!mx>jhFqW zsWHT3Z;F8;^U=UqNN@ic^n`uzyCKCD!d4JMo8!2L*W1GALJVo2oOT()h+GTc^cb2JPYt-JKG>41iblp2d_nP<*9_lycUH7LQRC|HiXW2FsP(Qok}`v6RLBar!5{@JH|Y&{XYNdeBmV(??w@PTQN_e zp=fg@CbYtu0(1Sjpl;~fn8RZan+VqtNGmmU?xi7?c=65% zD_A33UX^F0)n*t~HBnNkl&>JHZz7p*uzvTBP}E5yIf0a>v<$fq7j?oO;=!oG-+4eR zak&Ij$NU;T)VV_dKCcoA5n8}`H!9M339nk`wonps4TY>Z1)bMdyLhCiFh#gNSHM2T z0K0=i_>^@Ek9I=-Mf+t5B_U&APQu7fh$5|$?Rh1x-}FaCzRE!jsWt2~l>qwhkbA7P zG#)oZW{YLmAjB)#^$^Y@cd50~2A;x8!;o&YkpG}OApGADf%_Rsz$0MFl1L{V*fyMaEP(~C*uSY!#XUKL;;c!f!XY|1_9Wq8uaLuiS@v-(O>uYB1 zq3~i-Mx^3{_eaP^lr2Hjd7nJu+upNQ-;e#(^>5MB?F^5>Q$kPA8OP4h5TAsiMfkAU zx`#)Zf}L*{Ws26J;-@S>v<)8!%v)k0IzPe+dyo8|O^kcEZ=ZFxL){a`yn6ZubzUF1 zOfFD!m=daZmZ9*0x6&iL)%_T!v1uCi2u;e|R`8B3PYoBW{MM)eD%yH9U0<+Z;w4v69>c;)Tn_x0i{CQ^rBWk6!MGY*7?q z&;!oe8sPB`A3R6lxWxDbC+yVk&C+Z5=mnmWg9-9g94GEg9|zC4gW`5;@(M6CN*fpk z)LFj^WG-D~tl0#E7`+*Rbp(h;smGkM=EfKun=ifs%-9rt`k@UofXkS18-u5&C?dNW z*ub0D!KoW6{*YH>OJF!cs1jpb>As|{9nw|p(iaqoqZ94}UNY8m?$>3mjLV#Pk$cc7 z4R{@(I_ra-wuO9m8yI0U1C)DuINwwXSQlw5*t;Y^429vsG*8T9>@noeOB9*r5iJwB zNyFNg{})QQub2l6Pi7w33#qt5> z-dJdyTPI|gk}VYFkCHJVvt#=kEzT0MJ;0+P5>Rs3bg1wCoBt`#Px!%qo!|F!{(TGN z`#GC-_wKt9$VXs_P|^}e3q~X?+XG6l>!Juixz5ME>m}JD@DYi_`&hr#0EZeE03fj_ zQT3yea0t?Ak|R%R4r?k1@Z!j+CZX-yDR|CkVYFNfm;1h$U%WEip2X zmUY0sgmO@YqDsMa!QFso+vG_M4>%Bo&uc+qpF(a4Fjb*>j^l(v)MKqtf@tFom^_t? z>JfW*$}J&0&RR9X)ye2UP(nC0`M!nsU;;6ZA?&(bpMj|JdJs%zc)ZN8)B}-ZAcuuY zLPFG)A&4s=1CLi3sr=#mukTQSRsoTj>~>TG5h3n#T$*|dk-xyC(zV)s6l@@UfV$7z zRLtj4$Nk%ZsKBTb6XWu&g#eT;R9Fa`5P2h*RtaiaoEjsnVrWMIVY(nX8)5L%E}w}hf_@%(uz z``rY%w-l8g2)l# zH(}0qm={9CTrG~HAvyyIg2PpKWlvz<4mg5yar{cBpVB|*V(75&FpRNZAyqy7Vk|E6 zB3EB?^KYjVq^m;Jr5#E%`lWI(bPd-$={&fN%u(p%>P2XtLUTVh?_Kl24}40&uexBKOYzI&G=KUR zY2#}`jC}MlI3tHlTJX*=Q=1TiNugcU+(TS@40CMg(j$oL0+I?V@83d{tDHTH@y04Q z=JN45{JX7d6WXp)F@%=D`gx1+OyD+gR|SF5Y=dzl%-0;jQ>AwRlTNtC?g5scVp2jN zVXc|3mlb}3L77)&*097z=wZmvFdCsXxd$A5r*2VWhQcP#Rm}Toq+u$@tUZ^XVL;2^ zNe3WCOGHZ%C#%?t(4uk1`nXA8_gZK_R90=|LFELC($i9!f&+t-|Fh z20}84u%1}QVg-vpEW^Utu%XruB?63Z!jv?jCEDp=@;P{X0;Bha=MZX$e_`%cZMJG4hy#`h8Wn>nAc=Dt;; zZpV&FeJ2EpOs5QD1)#scD65KFxL$-BCK=8KUK1Juz=kz%NbOwK3_;-Fl`91XsqlJ? zvn{br(l0Q1m^$&{0ce8x+aepRx*Z4qI3#&Xqq%%NKZfuq6ptu0$tzez;5aSapa8d$ zwK6La0%>XZR|F@tFG_LG>KL#0kIUF|EXbl=4xw<~bt(R#tMb%w+xmUVeueGDw8nex z{@jhgpVt*}KDM7p)uSiviS2vqcTXHGdo0+S-b9 z*5!GB7e~*n|1RqBd{K&X#eEk~6nA(mYUHl?4{!iLMt&zw82ZcJ3bXQhfQR-Q9B+s= z4KoEZicD>@ypJ@4;V3Hz4y)i1d@a)b)_&TBPJuJxc_1ycMy}-Iq3=*s1XwgeIuF10 z9iG2>t9|lg3FDO2JjwtKHZh2*{E-l&AAoM~2v}l)2wo_sqwq|tV_*~>gm?)K>x7Eb z2p3#G)|*8o;no{yj^ni1eL$%8dua@B-XOGj1x40?e1ww>!^aiA6erd&Ox@(V(T4hM z1l5Fo8}7p65&E(Qb5TK>8mJaUn@U>OnV~C7w7q1)<{Z;SqAbOZ|AZ zoRD)$`_=18v39(c&wPHDbLO>+Fr)eT>;5hbyD0wD&{{q|R?4^UM8Ae&5I-40g${Iq znD3%s?WeD|5su4HU00}Yj)zTWl;Rn+3umnq06ihy1+%0(u47G(;J z%{9m%s!R~a=d*8*_|4jsu4@oZP(x|ys|?1tOuoR%Y=bbRL=%~#NI+RzMR6O^Cs00? zNc1#E0o)*OVvXO!jpr!8j(JTE6KsCuVdS0eDiG7e7vvIRK|^dKECfA8gQcyUl^W-oq>ZT)Qc$|IgKVYSCU@iH z1e%llYVEDG%lEAlRuBZoka`X`wt{MTgOOl{=b+F<1&RjchjTvVepsz=rTp{TY~2Q=iE97}C`!9j2R69%e|?h<-#D%$Zn? z)C(9^;Qh3~tFnPNl6mnAeR(vQVmx`fm|W%5#em$fH^!_<_l?RB=r1H zueZWwBRqu1;$x97tK-zt=)kMvq_9LuC;nPugjgM;fX9=!hZpxw2V6m#g&lZU;Z%k3 zdw?~5n{Zq$j49e00x%XMl%*5+?Y(7(#g5UZ;WWWnAw#Hc16>g^f(oj@cQpDb@^IpLZKIO(R)lc1A`sC!r1#pdbvo zIfv}?+5ee`9{uFMMR)4!f2MLf9f zV6SrEBSFG1g=_)1R@S5d-WEACL}q>BSI>b$Cbk_aP-M(%09(oL-60+eDDXNc1}C_b z59@7^4`T%anCs>a;aIOdgcRuWOb;Xl6AARva%e$Jd0Qg0De)ByWdLyjC><4nfUN4g zW3!8;4+wJv!qg?dMp&0ec=4TW@1-W1jOsfOjWRvPut&AaTNP^37nwc%`YmcgvDo8= z{JTqq%UUMsm02e4ep3btB&QH=iU;ACv6&GU-Et20{US~S`IWJ>Y4%9si}&EDx|g0{ zMbdrx9{IK!>DODEc{lG2bo5*S0SFCnB$hHJe=;2x7nv-MK5y?hNtP*mx9 z;SQ;@xnA=U1$`wRe<3{%SNAI}aHzl*t~i7CK{SPL+dW z`#`-7c%Q8g@*7<)y4Mr&Fcf&`8ABPTlGOKlT_o=E@SGlp-)hL!cdq?bnHKG5ibcdC zVU>cnDFGEG3))KCiIVWMDGE&_uIHd(NnUq;51go`hg-iP1d|i_{fmmiUA*B8PkPw>nh#Q|o0b^&dTs zw~odTyZoC{PrbHJJr}$A9s*X&F-k&>GoF$6umv2`JL9_28^Hho*UdSh7wAovqgS7u zf;UtSTdH_2%n-6wx>#w~A>dIErZyUJaG!YykuHGJ5P)Fy%#8>dV9?0-WSFp`Xi2Up zWC32xJ@?$?d_vi$mG~K+mv|(S<5r4XxN1?<6nKNNoGi(YLlSoatbi+dUudQ@DdHb= zgv!C3o+!YM<0i)E2yW#oEdZay{V;IiVV;|zB&>qttY@Y`nR9cMl(LE{MLAzDkw<5a zppoy^mqFX)-XXSB`o%ne?X*4qDs97{h=cV|7?rm;lHWyK&U5RXY$)~uuP78~# z#RCvXRhUpOgh#%=5gKb^Z9no{gR}%dgl#7+r=5H+D?DcY^%(zFiI>=lyf{R2=z}V2 z*Zdw@m8&4sxZ37K$S)eosL?;3vr95-!aA3V7id@HEA#=I8=aKipxunAVPcmE!a}3Q zEmrKURu`Y*P&CVneBx(u&SN~3-wf47dthc6Z!Jrwc$U0NK|IG=Q21_GAp}l%U#c`L z+H~o4t9QmctuEL%mP)|>=%>vphS~OUE$|}e%*R{Y^Db?>yXS5M{{J=tZ43~$@qQoS zQSb_Qu8`bqvW{&Pq60*t>-iR1zgmn)4)Y5TaB((=6K+qh71#ak=V~dgd%W)Yb@vx_ zU)*2R;+g!at&0K=WKYBw;=VW=3Mhq_sx!ev5IL;c0iW^Y6h)7-kId zj3~X&7)(>I{1ToXqZDBkBN88Y5TU{bMn9mU$#<9pPwLod*3<=1?sEKxm;QJhy zM|ClmM|cdLqOkboS(aYG?{AJUszrFN!Ey)V)h^1ytGIi$8ln=%rzo)|R2qYy1382x ziS)+h5^@xn4LzzH-SRaCKRArwwF134F?1f`PZ6M2=UWJeo9Xkt4l<7G_R;D+3Wbq= zN>2@;?}oMK*z*2@FrfFL*Wiu4f^pZ3?>&r$t42~nsbrYdF=MoZwsHN5-=vo^Xh1SF z)2IBMh9=dk#*H zQ*wxoD_@6)OuUe1!w;DdtqTpYc(y2Y=+Mp1FYsW3F6Dh0xxx&8iUb>k3_VVWpD7+j zWekfJ&{2mwN9nIWI!eEJf#9Dp?2?ypw>wWeJ(Pv;bOU8FgdLrtRAwZY4^DF50;4gb zDcx3_c2lT~ls2PeHPS+vJzeF~U@Y|<)IjhIZ^nL|HNp2uqneHm9;eOTtMsJTkLXg_ zJwxe^|P~FNl3W9^qA|x{_I_T(i#BpZzhv8@jcMazf?ul=0F%Yq5%)!hq+YQR%;V6C)=h zp;zTn^{O;Yjd|4u99zuu&4tlo&qujfHs`k+5>eie$t8jcf{zVkL?}(-+)7au*BJkW z_cD%=vtCcCpQ)%Y>Ep3B#aQtaLCyf0+teN#b&NMfB)1f0ZSxMEb|>t2l<0GmICF4y z32(a@ia#=4vR{Ca18DfyL;rc2PQw>q$97r{;9gJ?s*tQ;h`L@1SQ^_X2lGKk3<(Qd zCf8pXWgN>t@}Gv1kS+)%p2B#Ab7Iti8se0U;=!X zN3XGmB0TVV1Fn3R7pvl-UL_qCKqM4~Rh%KJ$gO#0C<@2OW?LxHS~z!%vksxLQOF?| z*n;n9z$rgDSGs3HONg358LO=z+ZEJ+*JxcyImiT3egem)RWXcG`fx=rC&KV2k zsI*tbWCeUwlBW)SIH#|IZ&c0={*7FT&=5n`YzA+-rMDuXnvF_VB8+KC0|n#>08-Wq z-)jsYFu9>J9-dGROAkoHpmvaLwy9<)zB~Y>y5Cl4ZaBUsHPT zze?%xe;GCX) z5Dj!VYGGvp;N2r>>ktA}FFT1n@IQb`0hsmXEQ#N&IZpZGTSZcrw*k}@C`PKJ2k zQ3wsoCa9&@M(a^|s0BtJOA*_7(ejJ8*p2~Ah~Yu8OGH74bt8nbp-U~kGiMrjT82R4 z*_wb_D$klI-zqQwJrJ=9%VP*p95FCj0?`0uD^TA1DDG6Aby{d`P$o{N4^#8#0t_q| z$39^>Dp)dRAnq2SFJ|N-l)SINBuJbaQYM7dnmh!%!(pwoVK6p{gFQu|HrPQZ+|;^^ zW`f8MI#~Y#j7LJ}cPM(#*y#)+J?jFn4R^x0zyYkD=C@U;QBzsSgw9cRs_bik zVOToBQwNG;jyI5sg7oAmNa*@!oIVkOe6>onqKFh2-keFI56H(u*`|^#kjW3je;2R2 zbX18Ze{bl@@caWwX*^n#(f})@Aw=8OK3Y2nzk~O#Mczaf$gN@C&=304yq_!FihA^n zv}i%&{_~yCSRworX}UD@{8MqJPDxriauDW^UHe!1T4Y4@^<7?QUQme|q8U}OS`fhm0l761o z?|PW1*P!3F-?eJH6$<8M#KHB~Z-t)WoJmCA6NB<^$eE+|QoCx2i?(gz!_xbZQAOZK{ zCBh>@cP<`3h1tPS1g6kjZec0PIxlJ2sL{Zh;ef);FM6GHg1hZA!lq_;Ya4c{56l%y zR3K)n2om(T7WV2rP|sk}_#H|@?mNOla<9)~Is6ia3?&s7zB34AJqKr6jI$xC!1Aj_ zC7~99hBVb8`71)B{zgk-H|3RL{>Les(uDL|c!9o4G5o6nOg#w8w7bj#Ue>Yj<1?RQ zt%riJGQ^5euR_XPWg&e|V;DY!Ce=QTHW%RJDN4!;3`(7lEz{)*VMIOzb+Ea-2mC8TG{>l@ zDB|jPr?{6o%yp~~OY9TEDw!XdQ~oKG(#q7lNain`gr}oQNU$?_VI%zkW{ms|D3Y2m z9pMRQebl8l2sQG_-_}IfXvoV3ZRBxi6xwLr;PR`*=ZjKcviQvfX$Bci|CPa;8Z_A+ zy(4^++-Ky<2!@+}F-Nf9T+tK7=M|NSC+QymXSy1z;(gu`^<13bC-;N*mJyu+fu!NO zSqp}ya&6_gE%Kw5?|Gpfr`P--hV*eNyu>(av6_cGqGbpX4N;>oyoATb97|Ta5g(hv zM*-t`;Tp}!>8ADbelK3_&3spw;TOF^WMMhOCtn+UxwXtoga(4S^!?7UIgE}zA;(h6}Rm3R&i5_AAp@5{MnAc0XTFB!Pg>Im zwhl%3mBZ3vfG(hGapv2{Vvo9Ci@oc)OZ#{ASaIH;#rNV^oLk*`ebQK z^3e!0KEgjZOK^Km1PYS!U3j01Ds*ALl{_?1Pp_2Dr1m^bWRHZ zTD4yOH5c%tExaEf{F_5~H+V--4d`&CsA4_I3(xTwG~|r_AOpgRmQfBGZDEGxqCBvG zyCfrHD*@EYP|h)~BF`v}{>3=wv&>)KHAc|-hkLX10PjK5gA6cS-Nj>L2mH5%fL29e z4}7?q-gstJDPvRAUz}m(`)*2Z+9NW(T=Z7+Y9v5fg)1-a;MMT#gzN-oLz1L7EsVjq zr^eozmhaIv=uZde*5Y+OF$S(r6n2c~1O;7nwu><`(Grkt7)pJ_m~F5gC(yBVn3z5x zD8u*&+N3r`=&vCdG)fix9*SD#Iu9R9{meB}gRq`!7*mOB8zY3i?EWQ6VYh|Pl*#Xv z5q__R7YGgD`F?7jy`M&{SLt}?ukjE=;h6Z{IA#rfLw`?W9#n3X!%`GwY3F^ya6aTc zwbU{kE#6Qu5i;ql1HCY@2Il)gYG4%BYnx#->^m6vE=lDxJ4CTRWIdBhaDIy76`AXVC|)CSLQd6;U;sKNnwuWHb9gun z7Ak~`ZY2x~@G7q2g*?Igt4?m#1@JZp(LM9Y(8U&WfcRH&Owi?)w;bGmxFrmi7q#q?5?*^WP@Vc~(S%q)QbD&;b z8nz*W->r^;BWxW#2rCm6_1wwQnBcYT@|e?}663bSSYs2}(rk8+-UCKXh~#yD`V}Z< z0Izt+`ob6nkAflawZ?s$7zdl`0rwbq=qZjPJR=UIomJ*XnJh?=aRIi#XB8tN4iNuV zaKtc7w`IZj&6TmzA3>C2j4|tU%-9hu8C>Dy0OOGpmUSMWZ8O3eFWG+;+~g`K>KDjk zmw5b%8>aGvREJm=c?USTyup1uuTYEmo@0nn86KzFW3*>QKEi0pTmB#@ogw%-`bT5~ z?6nf>xyo1=aiCp&N&e++=4cAEfQ{JMhDM zaE0KKx0IM;xAj_Km|`B|6!Yv)7oU8rvPbQQb;?!FX#=rSzBo zDxUsH|A>x6x{BfsT7U_Ack}AMK(BI z4L(x_&?^K36haiM9E^uK%Ji()DnST=Mw^Bx_*!W8&Xt6OMYRRKXC8zI3`H;s4|R&IySz!%{?qm@_&&#yj~NM+Lwegw$w~U}&_71=}W8BCSU1 zJb93IwCZ~^1kn#6xCuQ1@#^PoWih}irt={dJy`c+tpi7q&l3b)&IwRM3=i#q!I3eW zjTP3)T!2@!hJjg7(G@~Qi1N9Jj#ukde>Kd5iK?4tAO{(<{<07*naRK?hDQ{}-!(l|a#rPr@lo`<)Q*kq!G$Mnyz;n z!xvs)x_PR5jU=|5^Sm|aA*Ryj$1Ex$<$G0zsd%!#zT1#35n8kX!f);1Irso78tv7U zqH;@Rm7ae@e+(}{$Nt<4lKWNKsdTe$#{oLRR1VA^w2I&PC=``WFfsyk7(ZwOZHnbj zgB&{`> zZnUZ^yyH#>&(cxvbM8Bh>;9QT2+5qdKP)QEb{p@f`tgU15sGxifYAOBv-!LA04&-N z4_x!d{*55=X5^w{`(Z5yeCT4u_8JC}@ozxKbUx3Iu9?-Vuc?VsFeVEWT*0_VB~x#N zL%}*M!St1|7A=vNA|L$gtMIH=eP10DR+NRBD+g=o;r6fT_uKdR&9&Zs#aws~wttge zp8ghZ#owjJ+y62`n|^ZtKc~6*c;8;bpLW$;u3z>C={Y$(nxB3e`8n#RrzqyIoP72T zgf-rPR9#0=vIDGY!*E89Sk9G%T`<>Wl4yV4d!3HSPW@8X&&ewW@eGSqbK776kC0-4 zqHL^%F{EmRO%q<;STJh5QLi0v+ywU=lHc(Z;Rl2|%v|NGze&qq{m0PQC@NseoP6_f zTvrS$`V9=MAx9N_y`tTZFzi?_D!Wy5j|f?+P|<|+?^23AVyK$11YbQg+kOF4MBlLX ztPBXz)L@hA1xT5hd+9fco-5>NqMTFMul}sx|Lya(!Fr0j{0*#@uS0oY4(0^{IAOIg zFaQCtIMiGMISny*V#Ylg{96@3p)shQKY|i-y(;h*J{nF>8bsrwtO7AxlmI$h=UUFs z6&K!q)cD9x9-h=z<^6g4legcYlGB=m^X34|Yjun~31F01*6cHY{Pj37?&Xh459{;k zO_YHfeR2;?h{!-#(HaIy(jpZi_ZR{*8xf`s=5RsEj~U@f=g>nV44C@Om#InU^9G+u z{RqX~G5q{7V+l@FNDWQqEE;AsqUyK=HEx0SDaq`tic@CsV0%Q#FSh3qTJ$lw2$dVu zFm~M@lEV&u*5eT2t%^czV+)-2tx*EGRbofGM+FxEEnVkCA?Df zgb`mS(vk2U6q5rQ+5rKL;cxc4DAJ%^-dbV|c(HQ>{pvhrV}!m)KaIdX!*EIkq4dU> z1*zO+fHG?j`e*}XNDoG_h6j$(0m>)Gj9Q>CxdlJt3^83Ow}E^dld00va(@>>n6rdC}%1IB9lmjH(3WiLkZ>JP<{c*A7f@cnr5_X!Tw}ZhUcK;8SU4j82+~4&unfR zxH@1>_En@X7$f#nLjl1xMczJ#-&`yPZ*^bf9z;o@H&qFR%o4>(N&dJAC(Ni>@Q28w!MZg0JhJm><3-PD$a`31=jyF>svKSN%p zp?nhsQu{S|Enl!+@q9y>wqW!V|F8eL|kP`>ajE+GZ#0vpPy@`mAE`5#F@OFc*Cs zB=97w0J9UYWJW&GI)XTJ56TbDYNxESe4fQ$GX+O@;vu9$E=1l;yv)mWc^4Fg4PbMS z_R#oR+h+)M;NMgPH;DRH8KSI5QC0W5yd}!Lxt0^m#E|*7ZVgwBP9UGAvE!2cZ&bJi zdF=FLtdeVWgS~BpvI^eqW4!hzDhjD?!JO)_AeOXLu!_${dc1KC*j5ELx@8P2I>Uof z0~N~@C7nE*y16-?k(<<`@eh*R)W>UHc(euo�$U6k}8HO&w$2Ed)VTVEzWi+UCj~ zVr;A=x{gpyPjJj+`OP{cd~h;UEJS-z&(7>&OP?jJ2W6 zO(|7ne5SE)kSSovuJJ)QP9WTy*K*lHaJ;O4WmqFu@N$lht`**FINy9W$MO`k`f zAEoTk9*%#P_siv$Ui?yS`TB1dE9zNHp>vqGdbvZs+9T$QkgJGOGGrPAWo0gH$yxyi z!dU{p?{VGK5wGwj{DwB(=lEq@8I~TeJ@9T{83KneiXb9}kRzm1oL3gTz#&1q6dXUH zM_9&)DwLrrYCQQ}N`L!5qa^(AX#2adr1{If=il2YtM6I)-Q#y7@WYG%#1Nhkx(2() z+`#TC_gS&;w9pua%QIGA0O%%=WelLr@A4To8cfp>z*>P>h61h*AvuH*@E+sj%UH$6 z<;-d?$I)l~5kZV0Z1Pa1K8~=My2M{ifVS22pf+WYJ0QdfLTH&q!-#Cq zmaS0^sJm_R1StBt4{&PWp`nEbeUi8aN!3u~O+o7Q9s=wQAk?a;+$bZIRxoY54XvU_ zix!hIm3n1to|#CPdDu2T7KoX6_M?YbtpOdugM^r7KIodl!uBb-3ih$^xWzIAIVyQ$ zcj*VN^2GfwLqJ4vupxwF(EZMRxrGVyAW~sW8dA-;wX2|2>7$^{&^r|vsdf`$%_X!d z`FuEpJdcZe8EsK%2QQs1ES(-;VR(u)5sIe%OV-v0#Z%WDL2@by7oUBa$_IqeLqWJa ze3MG|?q9lD1Xl2Kp>U)t;r&LtT@6#_N~T*9agH^qR!mD`zYsYfZQGfv+~1|zzuyl% z*7Rspp{Exb^kS;D*&`<}cr6Hbi@sn1wAj5KN!mAXeuT`Fk5^G;A4B1_)-;XLq~)Z! z^_-JlQ<12#lFum|b&MPr=Sqtj8Cr(qqA*xq^IjF2J{P|^=llGu&-2BDm%p)m!(%b- z=Tc!Pr-D#L=YqBU`pvV{L-|{TOUy%Du(nn&&_ilUBP%p!f`Y7%`=Lt08T%ynexZ*v zvYEk*Vr|;{6j(;bH^-k~8OQo&TFuKC>)~?qF8%7@m1gd^4n(ctq%IZ4)I`)9gq+-b zMk4CHe33&7rLB+haazBBNnU~F^XF-aVk-*55Uu{q1t8=ss~|*yv^+x9<=Q4}W{Gtj z+~ayhtM7X9$p9So{=hAzbbs?#j1QCYBbN#Sn)`SuzBv8I^oDm=SWK_GpW?ar>mTLK zFYprlXF|nD5KmvcOg%jBHeS3)b@BrYNvd9912mbVCJeY!q$pv4glg9@gh4E8dPhjl zlh>aUBJCJEHI#3I&mh+!T47*ocx~5MC(J;=+JFU6iH7o;qa3MX`E1dGy-|Ni&WwA6 z%!09b2_a4X({c5WFlty&+CCJ7S>VllEyROse^l7))1FuK$u(6b)agBb7hy-db+}S? zJGXTLDklizru%r$z5YvZ;WLB| z_X)MK%Xs8Cvr4F`P?W&EWH37$rB8ts144JAz@(ew?h1J7(hWs34t3m@ot5| zac4ZU{>QWNK^PY8j^FwBGK^>_G3iUtEOv-?Mqb3IAH2vh!k2Q%QMLo(YK0~oxL26K z5rL>y1e{m>o;CQ~wj1E8%PKO5}-%DXI zCUS^N?1lVTyx(SmUV2`K{uCaN{dh4T<%; zdb9nqy>ZDuKFm>?#iRHwN^ySm^X_mr0)NgUU_S62!dZwR)v2vRG$hs zahL+*$bS^Tky^kNDhI_68GL39A)KMY#bH|e6V)(kly zAy&3fwXe-p0{ z1)Qr3Tvrl5f+zDgGoFD@c7prMhTc$rA%uooH(?JijAn3)6wzrXGY#<RmsMG)92q?mYo1pZRjd#mSe%pK+ABo`rr{@R=BFcna}!1@3y%@#B@`zogghPK z${}7-N%(aWo^M#e1H~7xau|zSi^xjPLEh~X$|lVJRl%c2MW5nmy@f0hse!pWCI8eu zUTi%WuMOyf8iw6{mDf`kFC^-76#!u!3Y8SXcOnxlj>Evaw|oTc*G%0dat!+m-DBj2 zIiX9Z3bZlCcI6n+!F6r8zHH3gQ%|211Bc@>vdA@bk!J@&a$9FJyF-YMgbjA9gFG*Lc43u-JV-#TH?xP?xBaEMltVt1Wls1hU7&NFW zhrYyCozp>34>LNrkkuE3Uunb)&Q}7J3dccVpUb zbc^+3?M=qRFr%CBZC%!9!;r1l73X3#AHfV1_b`45Z%fa~2ZVQ^UWzCzuPwYs!_kt8 zHTW@Mva79(kuKKy%rgdkHjK9a7)8%Pm4h>^qL&DPN<q!|j$DvlBeZc__*Fw zypPCUfBG1o~u(qHsv~(+U-&2a&=*kfbHwZ!)!uzLe9$0Z*0hT2`SW=cdg znmog(;ecpvJB-6E%U_x0$v-fEbX7Ry7A(=GSsf=Av~8skd_TB{0PC0pvo_OXzB7;4 z)G6<`z-v$?VPpA{b%2tZX338aO21g^$#?r2paM`r(`Y0gzp!?hUW^0y%23u34@jb^ zAk;~rAj|&lU#IjR{P%zZ#Roq@Sy5g;!JF=0aW?{g;s}%gZVS9243p;O5+PWE2<2F? zRXu>KIR=4X07)|Up#014^KbsltM*yiMO)RulW-fRKt*4l`&7!$A({i-s8pg>|5@_C z`979_<}yDdnn3_qw&^`+%k@*KDqdeBBGZJ!ZWy1ZND6R&Ey9jNEwdX}*FwgIk zw=*2&ps+STP&4Y0{x^qT1{TD2g}d``AXSi{7WxCd;^@mMR*&fU=q}1X7{4uk)Cn&! zgQMs}D9%8LJ@V?62*26v5z2tJjLFd$MLGu*~ zuf<9YqFupy@P|?XcuRrRc(Krx;)Gyn>7Yx$ioB{I)H0t6vHtUWs1q7MrITa1UW$2M zcJpMrNy2esH)T%{Oh4RClW*V&0o1-C?3M2B9#GSsWdqn1lh}M^m;c z(5Jym$w!hZAnF~TLd^EDS{=zmGT+RnYm-R~;$ULFCBpK3{WVIZ`^~h|etb#jUex`4 zkB*HVY~~Qun{d*Bpgw&8vB-tJ$DBl9asNXa&3Io^94AuH1%lRdP2r~XT`ekH&F!Z$ zPVYIlr^HtU6S6AF-1!>M7US+%i8KS5x=wxlS`(nT!fQ|^V;JnNUE|JMi{61&sbiE% zLY0jck19EyzxfnlEeW+Nukh45B=-##SSyUJ(oY6-EFr_-O~K|hlqf33nwSE$E393< zD?l+k{fE5Rhhz>!6}P*s_Yjx~*?+k5dn{+az`9L_QO~=3FP^7;lydvWM`?y-?FJU06_jl5 z;vod@fIZw|+&0+1C(N7X74QwfbgWZR8tnjokLs^db%XN~>%^I;Wf1zSQY>S`JI5M= zq0%$Z+^iW?qIm|J4TL3lu}<2A8R=owzO$WX&oH6GIAei!IK$KMwz2^Me+G;?olepg zOzIoj|A?^AMR9KR26WBWR-u=QYquTeY+{8B!PuT_IapVmJKO#O0Ue=dYbXiH|1)Fb zmI*OZ&z=!uZ0>n|umB6{?=WADf&&nq+!{Rmj6J`U2 z-*T>UP<#sh=P0g>BV3Om*T&=_n4myxET3Z)_=0&LKg;q9+VyMN3iG*+Ai%xic`dgU z9x5QpX#fO)NMHB`V+TXWJTDDH0Bk^$zk`q}3O7~2{acHdFv~D=jK?ZpPAITh#Zky1@dfrn^Rl(=yXYT&q zjliGp2sFX(TUjGb5b_DfX249%BGtwl{wqIv)lyvZSbQ(; zE3SJiiuYVC-d~jK>hO)i3~`l$Wb-z!KO^k(j{F|(j*H+*sD>&+wHkEj68aJ!2=1|$ zQl&oQHvKYiC{*57;6cWGJsD$dks z!(N;duknyQQz7NGn~PphO$5vjx*tYZ(H0(F?UP4=o5gJkXDcYogxxBnR33^$#q;8J z4VYBIj4^7eA&k}A(EM@Z8ly`DgzV@6hOU2rb~t2;6c7u_@jM``USs|q!eYD?i(Ixe zd0HM3<>xGQvLn3FV1TZaGg5o_F(=`EAK3wl!c)_I7;cRzY{S!TV>H@A5N}ZlY{Vdq ze&^65kT0wsR)sVZ*Hui2d&`7LENQf?O9*ti_OmJihbSgP_DprY_ZaV;v2qPINfjKM z7x+=|?yUuH{yEUK-px zffgO0teeBgI~N((8c2Ja(6Z)u9;HXj4gUH>Kr*DL9*c$_ozxL@Ll@>W275z#f%j|t z9f~yWk+IAWhPS4Vc*aNs(9-Om3dYhEn9+Xy8S;jETz|rK*j?HO8{X+gRs&{EuFYS^ut=YK;PjHgjM+fO_m++hjzF+Q>4{(==6375F+BVD|dP4;5 ztQv$qO^CdT-i1?S56G|xV^9wZuYZiK&F`E*ZX^f@s z1cSE$M&o)g5jioPZX=&T2DDsmq}P?-rbn+&(l^LCo|4;b$qx8A+X3_gr zC1FvzHUNDgc-4p*icn%K0i0sr2HTZj#duUT2Kbb8$s+QPkaJ-1}?+ z6{J;^=?8dO3W2{>a$uaFjy-_*1Ua5K1z+W>$HBPaTpS~fg z3Q@m`qC837x{l#zod`1Gitk&d7@l^>V<(?C9FT(znMKy#2gY5z_r`ZHKeHng+sNwX z9gF}~bP3=37)Yax?-4d~s3Hy?PXlQUQqBwf?{bg)gWU-!grvRUG^TsVNxp?RAGofk^AK1OTdge1_ojyLYcwup#%s1R84gedlDWg_5{0; zqwmxMF++Zuv6l_2+3s(pDY8`M%T;iWp{|2hLw0H8wwc;=aE=O1!=$PdTp$DGFJRUE z&w^%+PYFfbrH{L#S9s~Q(*bU0=rz+(^&b0jns)lH(*aSgOf}U+7A1v%qyS~1MvIpz zALR*Q;Db_dNm>MXL3vNpSd1}LkWZ}ulNO9g&aS1YE`aVIXVWgU?e5-4~mC#Tzh&)Rf7k>TZ5+=S+i?skeUIJeh7&DYw zE~N*fY0e(-m4RW4Wu}Opq_C~#-gPq7ojYso&(?wQC{|FUlZie z<}-z`SAprhd7*N@MtkEAb@46`nqGqwtV*;VHO~GX$;_omWDLw>FyXV1k)Us)Cp~Iv zSWIq%Icn4~B7XW1>lu}VC)-#?;$akd8bMC8rjRr*BEvZ$MmKTgS0w28%(V=;p;QRl zpklBJvY1hS4+3WCgJHcw5n9P>%`MNhk^N&{9ZRx(5=c$WLhD zB3)PK)ZkKjcM4)`Q85AmGh0t+6AhbyzWQoPlV0xUkn@`eC>v7ci zL;g`|hao1!3PjcM3zU`+8LcObD+BT9myG}QM5ER&MoPr+D-?fvAvWmWb$TLbTojNH zVqLIaA3{TGAw2cGx5T<#KvYc82u|84JDAHb6o%QUGe#z(cl|?Sh0H*D^G~IbHGIY3 z5@MJ-sBe94=j16nCO2FOYqjp_S1=relEgY{gHB~MRHChir{Igze?ZZPM-&XKiM+QV zC_cRRpK;ISaZ*@5eY1x*8R0u{nCcTlp!tB1l7z`P>63q?{q)*tJi}{HrIa}#PQrW8 zRgLgMc%U$ee=>DFh^#X$BpIBY4GAn@42i-YV^O#L82I={l!Tw~;S~5lyyG30B+_1>ByJNvleInn-9M+wC#-|DP?WF9H#j4h`UxRc zTQvwTaxMPUrHz%C^KsJuI<*mk=|%W-_pg4iX8azn!7mt(S18b)qa579muv`j)vLWcbm&bD zHoT`wLG!ar3HLc=!<7h`JOLKyb-36;V1kmi+&!TkXKB6%V+tW_IH|XlU2@Fm8QDYW ze2k*-s)Eq{u;^ArY(%uk~?UcdB^Ie7t-fEOs1gc~F#KgD8DAxqrJ`z+xl2)>^KlOrDvb*o651D_Qx ziL>Y8a=))i8MvL1Z=;Dax1L~hVMlu8@=>`a+j)JF!6Y9C!ZsCDws!{XS1D*-$`aqL za~>f{Z^cZF{Zghc|0_UH6Z{!>Qu!U8_O4WP@p9G-;XlXJ#+DV&Y}0#|Fd zZs3GKQX!01saFe6TrRXB@(zZ!3$Vi6E4=ba-ooE}BvviH{A}^dS37ks2_Lapj=yaN z_Xoqq=;r6C(R|m*p#@5YtkSxz2d9&?s@-Rxf_8$*AXxeaR%|%f-W0kv0g^lGzG5; zx%~(Z@*Q*WYXweL=i`RhQw6ASfBAjA6xTdny>{LG>(3VZwRo<$KR=(h(EEkr8kxy! z<_f|!V73AnQO62kn8T+6FI2~92Tm1U54?sVWo#sXl~I}@B^6$lA)uFKBfuamtUm}C zzuv}*0@4+oFo%vU-$3K9Ka+oVTpbf&aRI>c3*YOnkquN1IuD5A^HgB2p_Ic(&z`u z5|}S&h&jN#N)9B$m=3nThChb~x>CA?`Rq1KTLNteU)vU9e3Jqkp z9Qm$-93n^ovqm!|!znUgu9q2ZA0rh-@bXjT6efLg#<iWanj!)ck~z2~S( z+f)eod1H}*7GZ@4AzxK4L&p>$!lg?>ffI@}slr_Gw}b{fsqJErjM9&Bfos7~8--JP z8M)&$nX4k72~vi+nh`FrS0XYG^`Dg=!f#*z$G=Gioz1)y%0c-b^#E0rz0RvU$}}v2 zQ)%9eP(0=~tdhT4#e)L*9v+1C1^a^Mn$v?2=5IlBo^Jo)8s*?>Bt+2CVk$?a>o5ef zzBv&py6tY-?LNQ=j&vOCX%(DP+G&wig$+!HjB^`B@YVo>_965F^n8^DY!fk~P2cJm znAQ+%XJIX_dcrwV3FzFS^rxTJJ%L6e!yzMqCp9AWg?%NGl5(Mb(77lEp`{0*kfwv2 z>$D!E!S0vo;mIf+ZfQumNDl}-Iy96hg8tagOuojb{?jX4e$z5Wk*MO0&?mG5ZzlM| z#>pw3c;t~}7mV6^#yK^%nzorhRmtI5T|MlYc}ETM4C z3;{{g^c?iPBNS^@l#~q=uo?0r$9{~Gw5oED2v-Ze_HHPyBm1l&uK7#*8hT!%Oe|5y zc_gfrGBu2C$#J*@AL(UT*5I<08`R(My7SYfbQq(sQRt*1c*>NG;LlWs<~Ra)1gxGQ zv+R`)gV%1s`wC)GosAQ$dg&?;Cz5J zw|p6ELB(JR_#ogaVaTC3c!@pl?>REGY<5Op2p1eI8qct2g0Eu9$U`*Hb}@6n8)@}E z@>p}z!CNB#E%+qIhAgS{#Jz?ri_oQ*V%tsLAwLC=>A1r@g>j{LOMFWm6?oLZF}@Ex z)ijKn{pI02nw;m^%K-8!m4|}}*FrfcGiE*1;r{cUxjc{e@sI4Hyq9$aKX6!igv^%E z$$0H;;8js0T0q;pHN0q|u?AJ;(P!)}KWqaZmEKj>raY%}pxiMGb&+8=p`~UhPsc_K zqJMhhF2Er^sIjQ|`RF9_SzsFHMjCoxt=__5LPwb@^-Wm&UR)qYDx0E6*=C%x1s8=a z8J>ipBm~Z=swHS?YRfBbqjW^>GRLsqeW16a5rT|#hE3CX(P8oE@0bS0Lq3Tik90-y zgKVdBgG*D6xTk7~T(Kw#$Kd8BhQfpNgm&MA_IX{LpU78WoF5#o;x%l;w!h6=hKR%sAkB#AXNXBVa1MGO0*phE#xtQX1gV(2P!K(Uu^6MYJHa~3+=A<+M*FX>g{2%0zqdf(V;m)_$mrk8QTOhaQ-p(0YU;vJz_;kJQ5Td ze8&pXGA8b~$e{s~BqG()N?0CU6#xr(xi$C{zRF*QK?rW=waFU@IIQb-AEqk(ss83; z8j{b2K)A5p(A|4oi9|KmmeS+L5HI<E7lip?E4@F=y|b4PT(B zeVkr&e#`zDqqByHz}xG%{{oLO?^|A?JX1ONnmJH8xQAusU-Y|a zALU?GuR-?ulrh%A){sLri~=gmL!Hkip{hYLYNX#a}FNUXP~MjDMGzDd6`TSo;a2}%m@3l@(%qsESb!3kA7^RAl6fL zgEclsTcMSqmZcSOkelTlOOc<}+s7~%L+VzMt%6Wx_p<$Y+Qrg-*nE~YQ396E9;NB_ zm*91-@u{(1MbhK#FECIb%tz;gc(aU{Ia~<*6Bdtx$W9f38@HdgPCU);T=^yQCM=gd zg1rjH4nYey^zbI!OwWU15LHx5yD;Z6<1&Ao;kkgV)(zeci)9!!Jq4{&??FFQe5q7` z8}0c^z_(%>geRyor(tnUV=Ww_eR+%cYs+{)cdDF1)VpFzVFR_E#$91<4(_MP+gG5-Uk6=`vz zjKbSBo?pADYxUB#6W-2qnsm~RvWXS|GtqBfNeRnXPpp@Pl3{b3W>Q`Ik7$iPi7b&-H`2$D6IUP}1fPuith3cZJw`>sVx>7gwxOqaACH z7AQN~y;`{9(-@!C@AaV(Pm60E&bx9q0(T<-EnY={2r(*d%1|=Mxh$c}X5fy6JmPAQ zu2RST&adU)6uJehSlxf!cfp3GxVC=GuUro)3UK57mZF~gjh+Rjau5R)_vAR|9Gk^+ zL2z@Aa3l|%NOTo|h{EDFUNJN1uqrf3MywEKS5Y8Vh#E76x2Rx96g<_c#^O+A z97~gomTMe1r&^Bj+HBlqe{D zs)UI%M5bXzr8#Qkm@}ouxORp-oQOt?jnwYEmwJSf+&%g$=7e)|azoDunb+S$Kup9V z=A#6?CLN;DkS)z<{|F`35J7tFkv6_=gF7ni4K>)X2k$>OB}Zytr|7ELsr?Er=@> zaIHSk8=z^{jiAmS3k8`^Mek?>%pXE$W`N^rO~jl*Q;8pyTc}83(bpzBc-+B!aixM% zWCW?sibgg<|B#VH1cil$)`ov&{1D&|7Von%BqWfVsC1(~+a*5~p=p^bb00Fn^jps( z1^VoBkgF@kc4;hCR1oJf4Gq1+;(=#oIhRo+)mVqw5Jlm^QR>!ETwyHGskhQ( zua|z^-%hWQVeJn#(!&nkt?(?9U6k6?X^38nIoD{a_uv6pwC1W>%FPo9yZ=u(6tY5;u^0YF+ItDVn zXN)p&8zXKb8hy8dfdIU_AvyOpNf%MS}65zP!8JG8b;6ZRpqRkCdhl{gf>pVS{3_c6mr=N4GH^I<)A~XGO%PM z8Rws|HmXd?u*B?l78&;vSq6_UBrNQ0;5J7M_Z&LmfL^zLH-$jP{R{X#bI>pG)>P&; zC?U9F9462cGmIECmNrM9@O~Z70Og_xdnUSfv*y^OagWjB;Cg8j%>l>6qGK&Oe_pX8 zI+su>eV6F>KYv)`=G;}jU1gyPF*RZdITv-ygSM2Dait1hIm6RWW#AH{*bO3#)lkrB zMC#h^BZ!;39;i+@EY9OX93%P-4N*~Qgr5>TrMyc94N(GL%z?L}qblFWMDClaD8^U; z*Jfav4i8g|WLT%H6XN!T5;lV$r}doI2!?Rj&icw58S#4W{ipverN8#u&{#xXk%?M!s=}sWYfoUFAx1Gl+258^6O1EIsf^t*I$b~ z7Bz&eT4_x6Ab`;Fp8_hwgl1eb-=AK6)&vQFAQ7A(0s?S*&U;lTdh~Y>0#iiM=cocu z`o{c(67dtP^Xd>jKAXwN0zk(gjM?hFO&%~d{fOUsj?5LvL10$(0UkkJ2qlwI5Ap09L#PzRIM)k2?dU1OWcozl`WeVjE1<>*p)ky0g&5+a z0in^bf~%B(!nC!DXGtC8lu2yiy*J#=6_650UBZT{@Uw4kD=Ig#*dtU38qPpK}ixL+FlGB7yH7shAyHOd$`A>91TF`RjoR3l z-Qp@oCc(UY;R?=pf;$7ym&)%G(gJ3UcUQNl52aXXih^bNkmU}f~83K2g_yViu>5_0r5EjSf z2k8VQh+c+u_DUP8LURK=#VW79Hdj|)ciV603>qXg(aE_s%$Hb{&hUBUf*hPeI5qaj z|M6j}e!+Y}H5rDY#GW}R{f@Ryg1~NNJL%rWM=>wm5ng%hg8}9~t(7);jz_HFH|D1h zqReUafHhCOOTwP?MsE=EG}3YJ%hX`O>Wya6>+CB$2R-WDWxpR_iFlo2uxNLaXPe|o z=%LVj17q?G538p;rS#2FN*^};=JTfJ01Lpex31U&-Zx@YN2i6riN#g$&ZNXu8R zf;n7#@kJ_s{Bd~f$)xngD1A|I-ef6QwDHG0))2-t@m}l_f@8b&2+PQ4@4Po|YM0it zzl8zr!YDoiCaN5KABJ!9@BfxW+gJ-TM>UkGDhI1vD|1|+e63)pVZ!?% zK&cK)??BC#Ho2F*+s5)$L0%bQz^p?UN@2xYN`=ifSKtFPS$3a5wAaZ+xWEfEBYg7$ z%DB>Hag&EK4;}WF3c1{7Kb;W@N4R4?LKTElET1iUhgP&k{0=2BDE%5UeluW}swk~+ zt=|x0Rg|Rjd!MJ)8*&X|fnPs`!99J11@alpn-=ek&uS>lKQY+*EkX_yfe89)S~vig zYZ$kH>1iNB75+sitPmuqm}0>rK@%g%82UF9d@E|fhKN^37@=h3wpoJb3M50fZ@bB%DbR-Y60WH61;8W!&0zWn~YR!`=1h<(0JIS7P} zXFc+k{5$m*HC~)R07rjRTFNw*>Cb|(DRC_BURCt1L+IP+ioCFjMT@O+ZCLWZ@iqVB z3A<60LMY_<)nEmKUkK!whd6)fnbp1Czj`JP{;^nBQD2<6{KpwBR0}1;b`?yc&#afC zzSTLI$3hT+bW zmcr|zc>mS1ey#ZKJ(1r%;C_##0dW4-i?$ghQd&!#U?@M0<=PmG)iDCnlhP3P zHg<+k&igXxgp6n$6=;KT7!Oh8Dc6gh5`)oK(8ELO@SXz5Hz;eSmijatO*k?K|H8 z?X`H?z68ER=-NT4H$q0yhjy~>dKhM`bx2D13TQM&s{$QaZoo@1Sdu^^*2JiU7Y2E> z%E$zAydAH-^^Y{enCK>%apmybYmnc|Jbaf6b0DK#Sgo)I^WwWfTFw*gHIjo$R=oxd z;pb*5VT@dxZo>28se+LCIXTY|^@sOLTV9Z7E6`dhea6scW9Yo)4Bk1Arb2LN%6JD} zFvwNxdl)y9GtjW(;Z3B{K;;7A{Ef;J`3k*{I?B*?Rd`wzw{_B(xQ-`;e|3Dy7+_VP zTlL`C=stlaXK$!bzFOR)v6p115#-ZH^CMG9ni}#SSw%J>{3dzopLkdUU_DjhXt9O?tqxhT2}`RTa4t&~)J4^>bwmhj3< z9COHm!8l!yE9bK)>Q-u`&?#Yj7V-jMzwiMweB=g%07kZ;l28M7l_<&&hg*c^d`Fpq zJhx>`okPatQsJk|-cXR}pjex<6&klh|Cb^ja8jAQvDC=+8qcXqb+I!0$UN+kmG<*@IW4MYyNzN5kA9;Up(2#E9B+-2W<~5LMqHVodRF({WhWfIRb1 z^%x$*`}BZ?ZTbWex>%DN7SF67mtzcakhd+68%|J8O)7+&rCk}yoDxQ=DliAEk=sgU z_*KV?J`e3Q%0cHmBXqdRLHEuQ-m5%eO`xb_A~~{_fZg&ED&_R771=Kd8{D2_Sk4-1 zKs2k!0#mXMcYp!hcaHa5hbYaFfNZihD)SB6(*Oq`D+TG)m}ARm<-(>XVHx7YXO)5I z=k8vcVYFPqdr;Z&6qr>-F0m}E@S}!{KjE> zSp>UTeSA9p2V{q!Sw$6gQ{|vT&9csUrK0b?%4w%KvtyKmb;5=^rYa0`Pr|2bYb3vS z{qLlNffY|@%M;cG>wx+Ufj%k1h_B!LCw!;-Q3Bk$4je=KK_BYaeAq!{u!Se#KmG41 z{pG*<6JGR=kK`-;9dEw7?QR5qjuBW?0M-IKVs4iSGwL2+q8Kcp7zC8?Pj*V-)hL~j zTkzhXkxm+e^su)}c#c*&Zn2}H8L2Q=E!62b1LVWjP2vWTd_ghZoZmYaIMsGF>;yM7BmcNoo%?*oFGV-VypF&P_#iiDqYm(d<+cY&(NQKuWb7l4=F zC5W&p#F6$dixwVIgw3eYj^&e&83XEOJjflsqE zVyFfv+%(?Q`d|J$cqQkT2g=#gu-=1T1c77mrDs#;8x(}w5M>}s`r0p(c%9sSH7o{~ z5J<+$o_A@yFQiZAT#~L{LWq`7s2av5+k~WF#VWIe)lLQFQ5B_77#+I#&*Mi04fV^GbvLLukY)40o4sm@>mNl>1Aq&Q0`d6DE>C ztEs~t>OypPQ8@exMOW*s1o-9FgfbVzYkzF3c@hD?lV<<`KmbWZK~#%=Oz>(v{t^pc z*4To4m(411@Ci{eBTuA@DPru)r~_MOgrzC9&eGNcJS$nR=3VO(ro#}MDyLKs>M=Td zgL0Fk^oHT6Y-3SqHhIcc<3T!xl2N&)kgFGpt;dY*GJOHVr4^N4Yp(0ZgufNmy-P8# zoOAbLI7+WzIv+LIr+@q=HMjA6K75^8PcR;M7vJ)_?Wh=wpphGkJ9sDdzrQS>^jBc%&?QNT&?dI;L$4ClC@ zVs=yl2NK#UgSinnX3THY1@1Mk%Z!la8UkpLRE8Oqkp>AM+%gzSRKnbI7MNsMQyIhz zqYv>8qH4~u?+f6v>b3_ipBLL@8}(c>Y^Lo}c9K;f_eZIoqao%f`^GEn{{@rV<>lY{E zcK%p_dx!g}u(&Nwtp8cRV8vAA$XoOrW%w`N!Pozny*KNUsY z!9I#>Ds43f{|JtGiu-WmSL2<=x}#j^kLmZ>5=OI?6qSHboFY6GL@wIJ_-bVsmM!Gz zfMePIbe`I})cUyi6+U#8+J?ThPA%6sm4h~riFh^fI~`0{Zm$uD3}!po2HbB^7wfX%f>|PbSNrLKm2WSf?$UA2|Pa!PVZQ==uln zwIke@B77lU-DLP@=z0h(=0mrwX{1x3S}o3d#vweUeFxca%G|*8J_oPa!4>N9-oI|t zo-U<{Vr8&K=n3=ATBhwPk!WFPxDt~VX0Dm03~6GyyT*)58DUYx!FYCEFdQ%5@o_%* z5#{N9+Kd9)Y!@#*xUSb)rcM=p$jaePg{Q?cXjtMcx~_Fm+MgisVm_C+2@HliILy}M z3+}=A#nR1jk?te<6hi791fZ;CE#Tmth+l-I5PXj|xK%;@dU;y$EpD?$0XwZe6oZKq z3DOhu<*0?5R6RT?sA2C!st#h`FU1L27c0EjX!)6AtynZ+f-`9)Jf!~gAcUgB^Ut!= z?eC&LsgU~9v8Ue%H%u|tG9H>Ent>GKT@& z6NSqkpbP#xL;)^=TVFz#${GIj zc>fmAk<#8O84q#UbOO&|Z^)W)4c?Q4^}ah_TBqSraEA;pQ4p);;EH);3*DJk2nbC} z=5`5_OJU=R7vEQM&6q^AQXvG>HD!epkv@RhwboE)l=PaPJlQIcw$n{hS_-uEfK?MpQ zP4>Kkwhlbx^=c2kE@PTeXV3u%+k_d83wx?WFlRB+h%I18n-Cc)j7Bd}c2HR9nG)94 zG`Gc>p?I+sf=tQ?q+h{4BF7LOQVxA$qA!jz!%{`8c;FutXsn$U&-=_(8yrVk)g^(- zIbH zZkw3D%{o;yRp6%;VVl1dLc(6-Cn)xpo7q0Po?%IdohxJiE?~|e`;IX}VVgU@R&u$C z7CIrWHQ|kh8Cnu**uho_gOsCxN&Wvzxf;D6iu_tVek|v41b*fSoa26>r2v2(lOrG` zoHB9~Ac3aTK%@vtEmKWN5qI7Y82YP|ry(rd#qaYR4VAGbc2%lDlSts3ZComVupgjh zHN<~)mxD@+J^`3aH?>4c5Yz<-${a10(=KM|0N*{_HK>W9%TWb0e#^n(N zg>Fj^K{WSgqwE82MFyC|56}jY@kG%aNE~MTHu!e3KorGHOh3*24emQJXffIxS{s&V zK^+ee8gd{BbUPp(OAd?@^Y{S*#vIe|j+Q7ul%2^t4pp@70InUZUJ8J9Q3}+sN*X}W zEC~iYg27GD?v;lshguT>;SMKHYc@tR3)d8A4bstUIs|YdMOi^Caq6QvLU`{!e(YZ) z#4tMli63(;3EzFbmmT~Yt~1L61fOW!;d&IAYUVS}x2)4cID9=hL<$KJ+Q4;ImKpBr z4E&pOfT3&>c!WS!!H@1EnbruAum)*sjB%v^A_nygQ~G7rf{DN0p>NM#fd?@6AbHKV z{}wMbrU;}#c-vm6Zk z1H!9AJdNxL>w19&Bto;Jslq6&x7ZiABxJpT)M}#c;nPJpCLZZwQyxONA@nJTMbY_( zgRHsFNi@RE!`EMfq~+NN?+U}uIE)xJm4`%*J%Al!4U1Hgl^{6$XP&XuJkYKu1%ize z1cL}&yRp4X4;Lt7(vfbJDthv912+KAE{SUr?vNRX4+wtI^3{4!mEYzTl~+k2 zitb`hCT}8+;TeL$9pXwJBH)>WSbjkB%JdvTYC`F%7a#D|V=W&b)cZ*nm-zUfGVu!p zR4hf99nY|qsv+S63ahd-dh`Kn!WDt(Gc4woum6P524O1wl|k1-TmAp?fvt6tUTYd7Cv;c&mhWlUEKTdmW2XC;*hnX`y;GFIWn>~!bD@WX+c;F zxW5sz0@9ST3r$)!h;e~LbWJnd__ko$b!QL*2%d*y+{EtQkD4V*0~luzlrr=DZmRLi zyf(4eYpFEhIp!vPKbDldHzVh_4lMT5=X@Ik<+wG)J?% zjWUql3=nU|Ij@VDDBlmyOzH~~3w)u4f)rfj7k4)S)o2eoK7CjDfRoQ@CQfO*rVYT9}o-tM=3dMuyEc#tT(_sX_5H@_S{a zn=e~Hm3V9p|BTJikl9mZ{pgLl>%Qu8Bx~fYGTJQ_X6pC7sKHo#^G<#4n&;x0Vtj5J zOct?OZrrRsB$v}eZ+z6kD%Z6y>vDdgQl2>$o3C0Vf6)fFz5V1b+Cd*BY5~_NPujx# zAX$vVMc$er1+V@wJ&wTR2rvSkZ9Q=cx4;=+^uZ#x=smVRGYlMdGWpZmhW2^pR`edjczM109D+BNh&g3 zC9MYaC*nIQ)~J|ePx^sdaF=&h00|kaC5U&#ss|tNtkPw@Zr5|@mN^_IErj%Buvg&( zWT7lK1#9hX=q*qb#m%X+<+(WZJtHpi`Q`_K6n zW*2xyFwVDlbrS_1>(rA&9$fZ%2GXcs=ejRII0gu$3_#GsVz31cA=j}z<(!A{YM2k* zg(@Tz02g>CxHVBliC`hutsS)e3PxxspyH*dv4B{Si9qXy=U-qw1Ag5*gntbuPo(D# zyh{tv2`)w{I2%r0(%xs$gaKBL6WpoSX(e$6w^OeI9vgaISW$Kf&ml=*V3sr2v6|zs ztH&m-?zNm#l7d3a3gi0z4@WyC1zHR6Gp)H4bk){$!TdIhu0%bcoS`d13EKffIAcJE!L5>HM|crdczmpN9Y2$bDl3XByXibHBS zsXN%g^y#GqrP{F3cfRdA)|n=i$dJZ!3-^}HSV8%n1q=vM3s_6*!g)T5P`X#7_Zrr1NbQHFZfG^0s`I} z#xWQf9k@RKM;{S94; zw(u_1n!-OLvja*k#-Y2hmf*Me5;&6tE(dtgiL4|`Il)V)YMu-}Q zn>TMBcW!scm%~38qp7Z9@(2ap)7g*NZvWN29Xv%@-E(7xb$GiHI5x2aTdC~t9>Aja z-h^PTV1DQDDGH1;?8lJtFxKsyzvcDNB{vk<^j(x!I0^BD0}m77e@Ba66duaKJ3_Lc zFb%wH0)HTEL)l}6rJ$C{DqjoRjrG@ur>B*97fVKkVK~iY9^mnjF9->dZT5OtrdDt} z00$qs1k>phK1^e`tqqcTCztF$ZLC1YEGBCsn2iTpP1pXCqWiAm=%L!l&V z-1Hf+y$4@+9hQnH&{`$?Mj_!v;vN3;09=A+5!2A$RpJ$%X(!1)&Mwu6bXTe?)~37# z?hD>LdJ6f#Xs5K1jJLoKa+!XPk@x|9h#{vqYhOe6tLW5#Uk#%IV+zjGj`02Fo}p}@V_G~8@#bj#O?J}w1Fvk1_gw`%;2CHg<3>j3l0W&( zuD34i5y4TQ1}raD_-Ikg5UK zMD2XtjD~9mcGCo5;32UA-K+}V_6bxjGp~*nDBReD7v~7^{Og01^bxXYp{JlvR8p%z zV+~F@tfp$XRoZ&5v7FmR__(XP5DrPff`r3X2pQ3?;4m2?3|#R21Pet0^?<`Kv>9oD zR)Pu`CHm%2eM=6C`hXFsowrvA7CAVOZY{AKGDz(NM9(;9*nve4JV;gwNhKfvs9IRI zIwcwxBakxk5ZrfPVa#d^;h$CvYL|G3KuB|ZHtAcq)=-0ow%fHPW7kAr+9c*c34wNs zOOomCDfiK`!6LFC0CjOrOgc`W673QX356baB{gW;Qv@tPIo+RbB8UdnK5l#1R&%FJ2}q$&JG7lNNXW-Ig40 z=~V@Z)-weu`jOa)=Zxdl>wiIO_AJ|H4Ex*rOjyN$K=3xf?X3cAt*df00u`tkbK(To zHiOpdYzG&BtNcawsyN1tFs_oo2u@hH??A|(gN*+XYrFqt>yC!eU}?J93GL!LVh)0D zIu0y_ND~fP+dVsDEN}_BCa8G}tF9JfpYMYR?K4^IlQo3f@&kf)X*Xk=04o|=UHqhGmp>6dWx%>WMkpjnIddaJS`T)|;j z_aJPiv=!Gv>jjpZ5j@@V6M_+@j;Vpm7tc`%M@cCUgiA{|TakWyrFCGzps9W7hLGSf zj*1MZ0!Go2Goj5{Dq$(XC!;ELB#n(___oX|CZ9YIxt@(A$Uy3aVRSuh41|~U3W?iN z164{_GKZbtG=6anK`8^uRL^l}+Dn{8A>;?=xieMunB6rKDGKMRZbDsF>M$K;mg>CZ z;b;67e{lY;CtGfQ&we#}>ns;Jy{OBpU-q|uB2_FP>o7&X;u&SeJwKR7zUn^v?Vn4| zWcH}`TAq05GcV$!zT>xVr2?4M%?I~f`(Bk&15;7l_Uw$d*(d6Y$90>S#&}+RZ;prO zskn@|giUcQZ$gFYY9GHJN8qn*1p1uyT0e|A=fjGS^EC%2T!>Rw|JXUP&AsDBQXsgw zv%N1ns^0hJH+=*e;_lTCOH2^jtLv#Q!IqdS<@TO`zOF z_%k2;D|x^TOg1Z0n(z8oT7TA_vM7Mlm3a@>=}SEFY@NOeVU#pFL}|jm0RFo7?r;#w zCa{mZ?u+C#V+#`6#Zpp1;Tk39MF;vB#jEY{KQiukZJO)G5{o^`(fdOS z3mkDQU4@E&<=}C_3>W8$8Mgv@PP{VbZP_MVLW~RVz_*F~fzK`}R;56xSwZu{?w2i$Xq2L~7F2WMndokX4!9j_& zMByx3Cjno$zxR2S`r~KBCPYz_xlh8uLt^#8{AWF^+ylU|lD#NCdPSmC7w{?HES%Xc zN~HYapPqxb+|!6F9>&!0Z~Jo_iyjOO6nCkWbxD41>?A7-Q3 z1ZB{ztk}XEj=<(xDp6#gym$(5K}ix?7byS=zgRh+5~^m3fB~UoZ^2q-0c%xwoxTY# zAS#e)4JJN$O*q(MJaZTr3I-Kmln9`N>N)qdR5KNLlq%#GF`o)nCU|?ALcf>5xe?P= z5W;2vja33u_4smcq8;6HXsoG1PUfGwL%)qZ82B7?8>}^4wKD$-9w}ez(WA~*s<1-;v%Niq&Iq*tD4ooM2 zlbo?yc4C-tS5ld_zyz$#9Ln!nqnMeaut}4c9~4$l%y7`cWhXGfeP*}`?o!OH?3w%C*5QWUicX~IyN3`Cl|z-s?|-#Vx;{+hIPMT|kkV;y)JxO-8z>IQ_r)<7a4sqK=I&9%PQXYv-6gGv@OWnwxr6TG6)ObI89!&kgJ; z$zWclGHc?C=B#+8t5IPhOcLNW>-+{7Vso735X!qY7)xFIwkcQ737LXL3|E@)!dEBf z>?=JcP$w^GsGwm2*<*SwE7G-o*0<~L6+DwALjATegb@!muqIqWv(xK3%MIUp@Oy!f z@J|S4F<=0n8?1?A*m!kA-k*QVF1ySfPo_77gen=xYBM?$pd&s1`BmKcCRIJA#}W8# zkHDIk2p>Q=4nSZeoI0K7DAj!fkQA_Lp`gjKKuxd-U?lyBRZAaX-Fw`NJ_jLsI@!wJ z4G4k_aK9~0IpqC=+e|>ASwxjpzr;)_ti$NL`9Pqn;&%n!-uzIYy&qiN=S( z-j*IBq%z?3fPY=5u47@q4)Mkg>?EK^p0QvtyUvcL*8)Us5G_Fq3vYgOfTpKJ6 zq)kEMlKB=$3IbpMT3nl&L#&TzPY4gkXs+x(%Z_H>2SZ>C)qa!zg(6Pxu(Ug7 zu0=(R5x1o_;k6{+0)^xhf08-UVo*5`ICVxCz(~4^RXC{Y(FJkg4C*P7-a<&;L;%+4 zCd4f$bp6f`4bG0$C4#or;%^~}uq@ptj^vxqv(~}8Y__H#(()LsG?22e{IndjH?Jr0 zBwa(*LdA1pCrp7UT1g5wwyQW0*WY{S?_I|Pi{LeJI1t0Kz7a^$3|%vXF#4ed)%g_k zuuj&*T3DdO(9i`ZLQS<7e=Dg=%vyu5n{?ZP4Q5>5_aT@aN9+ILac5P$Rn&X&3C@RV)GUKl$=BP z1_ceNk^&(;2U6r&bM7`^5=g8_l$q>Rj3|R5BdBx}Fj$Fwln603$z?vxVKkHmsfT&g zMFU>upqlLFDk)nAh3=~?P~y&*gEAbOFsYo+L_9)Rx@KHRQE@cm&X0hI@yNEnFOz?{vCy-Tk%PDZ*7+4S?;~yS#LaxSF55g#*yd0Msg)x zrmC^lC2HU|e;4f`V~iosqN{)y^WBs*nvo9~%ZPlB>2U=9nnwUgf2I2>#~Ev{2SZd( z4>Atj=Q;SWF@S2gC|ourD0=x>-;0O9S9V&J>t?`E-?g;FO7qQBwpW)a<+R=!f}79t zB9v`prUgLosRBUVq=HMpY+AtS@=Uh|DFRO8XjZh2Gahy$!aDNsFXAxL|A_qzkWtyJ z!qFyW!jCnlB5fXB)sw}7S;DSFLd&gh|z;qtd z*gINN=s{!3^;dY!f!1!xWaYl+vPo;R9KHa<2CBeW9_}gQ(VZW{4qI}#6 z#X0L)ukx*}Xn`X{;dN;O{c9=K1BYfzFVChu+?5iiu8$R&LaP25f|mYU;62C-LP&*! z;*BllRk5H#3D`D8qiEY!0?IUWt0diq470xa{CbsrP5x=)=E(b{Y@g z6X%Xzfm?;e4fslTf#n|aChnquP~l3R97Dfl%xifR z7LGQ)K9j41|Kr&p2kp?>OT{lO2V2mXZD`>+!ZIyKt*?#1S%GDLJVH1MaSNP@J!uux z>z+>PaMZw*=xE^)YDbU77dC^1St{@-d(AptMk2hbuwb z_c2|YGJo3V`4&P#tY3%c;LJ$6I)_iQ_s@-|^{=cUXmkYW%gz_s54a5-!#_Fr>8I?7 za3j{xDgj_fP@uFK3Ym3zP)}qq!iD$ll8)LvS#Yy-xtVON#;B}5=X1L6yCh?XwCT$T5nGuRG z8Zy;rm^7gE(4A-(Q^+|>S(M#iPplZr0;|zH)(EfMklN&Rq!yfkDlO~LNO$UM_Id*a z?8Q$oudoI+B^1t-Of?=H^=+gPY4DT5IzOD zQ)qWa+@m_(221MuHGJ{gd#R4gYs*;z;CBFe3ijTBfa(78lsdFz?0}5uf>dFkK;J`y zV>1ABDYC;sHs=u4@B0$Xn5i)eU?wZb>KIQ7vub@Xo7TjrD`wvSTzPK^QpaH+bF&2_ zxYYt7?;+6Jeom}5fGJGr8J1y#QyBLgv<2D`j8-r`yAU*o+i3jo?vjI}4U)D%cs4*_ zXFD1YD&^`A9BL4lAd}^s7zFuiG@}p&0-YMmXW6=+n6(BFzAgiyq=OU$Tb zLC835ce5w2kFpP+sfm(CbcyB@G7*F<|A5w20|RekVZr1bp*2R-xg5Xd9o$kTNJ))g zS#uCYUFjWgaBT6nP1`#Pcg{dII8dYs*5@FfPXXB52iXjPT#4n$qPd4w$_ofl-0*-C z#W_on4FdBm3DDeJqCJbSbeSOlJY$SG=+xK{P%p6xU2c7rmG6JxuzQ#Fz62R)Vf})o z+g-_b`()8g>A!t5A}-uBEV|xuaPM;XLo9IU4$n1nCxAEyPl>>&MPTYipIJsISf?g} z(~>o{d_O=tj>A^XHpT$@CF?%L>I}=#?k!Rut!#7Lr>;&=JHa~6plItI=aSk9roN(I zt5;8nk>{NJyo4+-!?Pm+*30Y-u2|2XuCkv%B(_fv*$Ydoqt3E17HnOFAYuK73(PS` zsur|tp+LOdKkx+D-)M$`OyP@^zb;y~Q><-uSA%N-`lwJ_VfzH_;$4shg@u~}LTNaC zk%vEWx`TWwZZZP)30jb^#1E_G$rh0|VvIKDuS8++Q8>4c8wIDVIJXD3pS%H6QPP`7fVCW|@SL zgv&zd@B@+v=IJ+Sy@Vwx8d`RZiN?h;2>KSAm~XY&8)v|#b2?AIS6VW&Pn!~nV#Olt zz-9ofR7d2o45fe#e^)8a699v#y$HVIE;S{a>rX-tpYfc>3ldrL+ zC;Dg~H^>MAOPFfwFAV&AhWOy19B}Rg0dy7 z5H((Ay%<9$EKS3DfUbxK-|(zCy`{ ztkzkVdL^F+Xgu&E%^!D2H{^EkoNL?1SX?Hr{o{UpnSNDSZYawq-maERHBfpPrrpf%bCo4`FWzRo6iF;PSpZr3_kffdbu__wnZA2>d%AfkNL(8%f5~0B%Wv+w>U>(i|YMPyr4aL2ddJ z!!7N7A)P0#F21G3(z$k7SOPijec`TfJ9chBgLGBr6&jlooT%^C-#$%G>QC>~Z=_bZ zkrN!^w*mkxM+}|O)RPB$z6DH|LAOHK5E&Ibc(z+B4B-yU*d7{r#-a+>plbWWV4aH0 z@_vWkT2>~@f7^pMitZM%mB2?4XdR&(Sd{OHtL%GP3Q{Kw{x%jx_Irhr08zF~4yRZ#jRNqlX-l+gywj3uLj$q_C-W-!-{U0ia$6bu-wR%-*6 zr?H50jEZMk+>oFQVm$hs!3v5zlV!G=q$#AsJ)0xRoP9uwwNjnMX-y~uqyNDLWgPV& zqLm_lm-B2LAFq#?zqoHs=7obwA>nZR0){a-KWR+7DmYT{>gvK_K*HPgoJ(EVRk1d z3(vozmghQi3LHpWDLgDle`5hO8UB!+H;H{tY`yXDJKS_W%XUuxKKk1wM&v@A4#8W8 z*nw?aacWIzVY&zHAY|12r&fjbB?$&oOfs!4Ro<#oj$lwXq-5iD?z`0-Xc30^!HwJc z&puOO%(~30+tC~)Yu8PWeje|BM{Khf@F2AKCH^?1U>ST5@@oplJFd!b&m-K3d#q6B zPsTrNWcP4#KS*|xu0POhbAUEYv2p}m?%OnMZdKFs1>se6O94n+!U~|Ht0skAg zEmhfXHtJYW3uuDFL-`CR&t3f@(%ux){;@)#anzhNitO)Jnm=uiFeW_$!PFX7@ z`$n3jgE2x|g>(A9pv}t;b6#0M-d5Hemrm{~=SX;-0|OibMm)-C;tE>jjCJ=N9%JC8 zNYk+o8w-^7ImZIt;N7K7*r_&sQhj29@dE|$tll)t2PwfazJ=L7kAJR_s&x_v(yZAI zbM=Aq7iCoz!IXHS_DR^@hDm8QPaxN9BH)o4lIQeuq;tqM&W@KgocDXv?w&{Qo4n6?B@X!9*?DgU6vg43`Vwk%l;rrt^$ z$0*R2WRSvz#N;i>9#|?1BI*gRNFl283HODkw6miEJhyVfx42$3+_3p#8PdZ3g|(vm zA;4ryWohs+^UrKI-wWWYmV&pXE^9|uqbdeDWroZ#oLGTpfEA{54MWE$5N1zF2MQ+Z zIf*iD@+Tw(!7T)X@|)#6w&~-t0b})ga`>ttRIpftlTifj@F@q4@3Yh9-#awFYVzoc zW8Ae$;R*)(up2`+{VF>AtJdp@_?R9?;5R)2Be)_fe4D?Sce5|MUjPg^YN5SSMT|cHg^q9 zH}j^tK=g=9v`d*H23ja;f%wz#6wAfL?2m?Ae1HfLNLJkl55VVRT)=Q3c3?hsKuX_h zwFINHgfMF6dkB*dq-+4t23nO`j6~cD8e@C{k^UBWdmsl}!{0?sPYw~Pp{cYpLDL2a z*rAMVkgg^s9SabzGh76|-frS&9!nJvxxT_R5D`Q#S^w?V93&7}AS*e+cU$zYfAST` z8_ZXPQ4NHao{g&!1WX^S$+&E!#vGIL_gH$Ek3RI8XjLGv86D$30K~7TTuQVFX1w*T z$WEUQvz>RR+2H{Q(@%&l2MCYmUqTB(1UZ@@rtFCM0C8-9EH2UJQF*3;cHkU==MHzmbk zKl^dG&z$XKeOz~BZ~Jk~lud%yGiP12`G!(mASAk{)FNrkJQb|9<&@Zz5{9e|844u` zjL6;)q0)TByGngTQb9h~5Z7xp!}!Y)oR$cV8zBBOT%WXX#i0OTQ9MP!h$hT)5H70J z3h?J9-H%%R$q+*B-6}hKLv*jF&FmHB>bqaJB|kFwON5%D1`~vQB}l-WbtI1@2YH^c zFJosiF(raV5wZmg`G|=L5;?#fhigJjrEQS51@3=%4XtPdjdWW?K`TaSXz_pNO&nNR z2TITpmojKL>UWs59#oj9W{xolR|x1AXQ=3an5@w-Zpa|1*16-7G`qbrQ2~kp8E~eF zfN+HsF%o1BZUzF4WBul@rgV(XHhSc{B?a+LTTBay3%}{WAhfdL=gck6}qEqQE05# z^X=!19q@WNMi7NnStQ4@VmA1#;zOMj%mwWLTnWJ9l*{Mg3~Qhq&;-`!#Epv=1cQP`kOM>uH>6;KlP5@O;JE z4Pl?7M<3F^gxQ4P*?R3;%#iK3FJd5;!?PeRxvY!7DE<0H%D}6 zIuVemteVdnxy>Sx=#T34i&D6tm8q+nRi$D+{`5ui)wR|cT$-`R;@eF8Rpr@*YU$S5 z(|6?MQW$Jr{;IEwcQ;>1BbnBHwApIzOV-WEsI--uQ~}qEiYUPP{j1CK9e&@NEQ920 zo5jV=$B)Mm_$wQMrSSx=r2+0BCJ2{?e4lZEYf+&KHLd8u0N6OdFaU&m&pjPy9Ghu# zKY4w1JIZcMIs8mJFfMNVaDS$)opSpt{q~c(;}_SQslw{8`i~lT#+ltfFsNHig<)X! zfxEN;SS#>jU0@gBSvmQHG71HCCpsX;vhLKq?-`fkSYc_PdklUL@Wx`&TEzNx5fHY) z{ZCOPNo>OnJXDTvTB1AWks4*ojmABaMgjMuGBl}tp#dHBsC z&a`vW>4-y#?>GSJdGV1CACT&D$m%-^k6cVz5-xGIDKj)u)KlX+-b-Va9;Q!q#3F}H z=E?W&Pqhx4SS8fg#S04U-XHvza53r`Jk7sDAb{|azb2M93SAY>E%Crm zX+2IRZ{=-Y?eRz*`7s{;gkXrB*jJe*1f6>Mzsi~)>5H6gsH^SN% zB@I1wK=)6#dsr4CpgSCAqZ9CV7Fma|Gb%%db&;{;NK7Az8Dn0TxF{`I_a!iVjS1}v znp4ZPWR=F+W;CBuzoPIn63OOE1GY3L(9eO@=~u2!-KI86Pbp&TG(vr*Ekjp~KzpS<+;i{N%Z75i)M!HiAY4cKgu;&VFI+*Y z+X7Zm3AtDd(2dfPp_srON{Ztp_AhmMWJsHZ(gWW~Ug_FasHY23>q=DITu*Sm&u0?) zSsqu^EqoiSu>3{IAV+DSfO)lqw(m>(Lh~}((EE(F<3^$WvnQbxlM3ZJQ8m(r_a)Dx zD2s9xz=;KEgrne9fnf`Hq^r?2V-dnh#w!}?<^|OXFEQ}u6b!Qc<7|{P*I$xj+JsNH zhKIW#G>8TOx2-hqx0p|rVcG}_^&%jzdV1tr{2>P@!F$>*T%zkm$iCLeK73+wyqCl~ zRxsGY>br}O7_*HS<11xfD_34|jv%?4p|s4HbjuHke{36=zn{^RYc*6qV_xWH5_JT> zQhsa2>bm)zUwD@(d`yoc@Y^1NP6%Vpv-fcDkI|0X?tY2E2Bzst+>QYx!kq)iR04}v z`=Su=8<_WBoT60+U>@O)aF^JDFVA<-o|=a>p?R*SYA;^D9h==VWys;RjQ~w8kU59s zVGqO=mkn>w&eBRTfrSLIF3X~YLQGov>SQk);#OpU8x(OP>B|vF=^9DaKJnQWATv*~XjEPb*^VSzH0K(4KM}>Avw)#2@#$+eB@I2v~7XcN{rxNy>;f1{+p4w+y>( zX-3Ma>C+lQWI>{SuGs2j~=)sn!ybgQUeR3Ws|jv zKy@=2#NH$#nB2;+4zx<{v+s2?j3A;r`I6sg=doYcGl&%CR6^snl!Q1{20E~UKrr2- zfOlJQSMIwGWQbW}FxMGo1!1mb10OrjpPFhRsf-=}nH-PbN(zCijj??-Ms-W$bkT6m z-qU(i_o61(ylVmD=g=S(;f4nlY0doj7nB2cT-T~!&}8f&`4Vy|5-CCMNo=OY!*5rLgjrf35`0l7gyDsighZm$=RL`p zzD$?-y-L4Q4zKAspVguipqkPH>Z*RIt&MV!>wT?19#V3l=atOb^u8t4RoB93Z$*l- z_#jig2LfjKf`qxxolDyg^;2fu4!-NARi%CW`s*@LOsejv7Nmr9ZV}1YQ!m2yA ziR2uG@Rafuj@QE#&+0rB7sFtliqMOf@A!y(ydQ)h<5Gc`JKlJF^f&_len(&lXH~r8 z;*6)ODklxv_#J`yG+hAC0R-lgQLRf-*o)+1XS45;00bDtMhv(nJRk*h;=P17CpMdK z-uJEpfq-GYM2h#~swyb*#|_@T_HJzcgo{PV^rH!~s>g#a!oD^t;kK%)RUaGOx2G_w zbseX-oDPV(_{>)KDS7({M4`JXpy!y(@R9FXt@YrLpy;&+fN)<=KD|7Aft!#2vHYF@ zucmYW06+jqL_t)Tz^EzFo-^|y z4UK303iJxj_@9%+eHRFK{ccl--ZZ*Bg@fQ&q!IMV9Ompf;}M==WS(>A)OgQaT9JH? zm+{LrxKVKA*>7yQh%s0*M&;6S?d(QMhgZ73>yyK%w#;x&8gM_u8WEbTBpy<(%Tdeq zkFjJ>VjOQm`qSA}t&D1UtzpEjP#nvlrFBQ&AZ}eKE>TwpB0!;Wax>~F6POG*2G{`o zg?qqQB+JgVg5VZ75?*i`l_g=U{c0@l>SFyY;UavBN7%lqjXoFuIo|zac8+D>042)q z6dD}?P1a1jfVzwV;oz+M1Hv!Xt!D4=YGl+mvabnCfb#3A4?HG7mt)pDXqGWBiWWvX|nxi5F=<@3ucEeO+UOLHd< zrz_e9G3YxeanJL&@G_nuIP9Uce1J!hjsCiCqCwUnlJ9@`Fa-+Js4g$tZ|D=AOq%cb zy_*frKa2ipEj1qyuH;IaQ=5csv5x$yCE>4>>T#3)m=7jcNDi_&A#t|GUm?W(o(aZH zZCUYknEaalbU!V&x8tvc;&&Hi>drBtU$nv_skGff;MRg}ZqJD~Hbe24>(2B8YcuhF z>Mm$S*r1ZqWSx`|#};2I~a2l*CeceMC~ux$|@ql9Os zhntc*?@OLRQ{&eHv)1_g$_X{ng0HA>Yp(U7>jnPXUCG#s9h6=gGXzhRvS!a479!jW zqja$D023?WpylYTY>6ddgJ(QI(S`iLi%^?jz8eVHq`5*M==@hHgklw(S3nwxjo@Ao zeq5$>CtwiecqVH2mIG&(tV4SzWzb@cnxw@7gMf~tQl8Kj_)(r?!jix*kc`*P?Z|mGrRt3Iy><#Q6Io`A~JLOHo6x3jFZoeAV9bRK@kE2(6=g0p?oO> z;ZQ?RxCFTcFXA9g#M7*c0||if8coa&&lJ9B#=Whz9evAj1Crymtw|r}dvCM(lh?R* zJK)|fZUh0+1Bf_cu{DULR=&Xhe`OKX!i}ODB>4xVNfKZ{FO90&s*O<3On>H8(&fMs zZf}mTae*dNaRxH;lsb3sxV&U=FhS$pH~dLAATU~hSTA-EzR>d@K|~F9`#Ff_ zoCD+)no3JtLd+np^51a?ecs7>&pfOYRM9jP_rmQZ=NzU^Z;ycaT7(x$Wa~Wbsz8k=FsHdg1C;YV-O?93x?{V*UV1#ckvAmao5Ks3x}`q zHqzk<;-NL*35YTI*W@pBv4SAFg;1&l5%02&R%1v(EX39@x|;+N*NPGfpYJsO{vLga zVElX^0+JXdp3%@#vqSpEG-xSlSHS7xFjJ_ed(H_$lkKktErZxbEP2`Zj-U!7cM?4)c-OiE%6-2G?q~G6=f5Fs*^74vNUL z@h5USY$`E6B}9xl z*v7rINU}oP0q&C}J37M`*%UZ!(k0k+B0U~l`*5W#S#MhqrXunN1~+KD$#Z6*1oabA zoAb-{uRFAer2y`IL59hca;dXN3p5P{H@YEJOI#tGOt==Bg1Rx8qp-4QqQ#2qDy;_v zL|O{eZcCNW7)zpK+0?1#XktxnbfzLiy|ZWljIajR-Dn>IaM@sC#V$#EFV>0;+DHZC zE#V1!33!OhBKDXmT+MM$a+nqbtkf+{{kGXcb2A7*-vFrHn^NJHDPB@1f5*b)GmWD8 z#5hvBIhCS*^GA0D+-gB92)A0ZF-CEZagBb`kyNfP@u=!pJrdka$*L@m_v@jIqnKj2 z8{-jeib=IP=Gx>#zxb}lEZzC|Gxf$+k!V01-_`rp?O3}uQUl!6_oQf;MPcCperdr9 zdZR1xQN7P~H5^w9G|z3xe)AVcPL(IhxGn$V{l^jbcRm81?F!6#2-G&yuuCWen2vjc z&$IXAZ#WmRphr1I99vC)t!IP{GWo>UgnGJ0OYnlz!hLKW3+02;nhVarfDLh)#2tTr z1h*1&^39Fp`%x(07D$Pl@!s_h?3IFWWrceS+d2YK?QjN#a4Vjt53L|gz8efmv=(#z zg1Nf^?6jct`H0wqp4S7$qfS~DwpA{r-^Pi04qY&w5my23dyLEvk ztdHMyMR$BhzK9=1rs`ly>xeSMH%P|24EL7Kd38QHPS=xn6#2w484t-1Ggc1=dOrx| z6cnBsFhCUw;ym+0cT`+V@PJe%XL^8d)@#N4xeE4@I> z5j?~H&{9U>Kw+$D%5vVCbaa7`V1~>06_!J3Pr7eYzipZOIFb#G)^a!6?v3g%ZbYt| zKg2os3xzAzNQswEhO02lGF{)JV!%LL0CUr%6nXJ$mWlvM5I7)B!99kR< z5$nTA_s>j&0yA9a!guP<5G>Kxd3Qt5cv%>AS)TLCT4kU8T1j$}WfN&O7>9tcI{{9D z*Q&S(HN@It&a^Poq8S>%B>hvT5~b`3JRAQM3breEqbe^eY?_S_9?kwt*n2IW43h!8 zaK4-h(wM&GX#Doi7(W`+Me(<->raG3OT0YIhX@5hzl|@bm0+68^zJ8pDuiIK7SQNT z1R1(dZbBEW;GZqAc57iBZQBH@Vdq2oZwS9j zWlp?DtrZ568dx;0wH8DZU16Y>g=<5_(0{i?(8_Zz5Hhxamu=v3b4GcLKZA^5ki9Yj z|5s4Ag>Vo>&reAS-Ut=^SI_ii2~#YMJrflk_G`D&gw+YcKeA za1n}Cdc%E;hbk>07q}Lk!^2E#_~w#4j}%mv@FH8RJL60)i7gm#nY}OVRSqD|>qSE` zT0GjPqNNgyf?0TxO7IY{x$gpRM_HhzgRa)>ej-(06vU-#y1wC3;U<0ZnR_{u8)=IM z94d?YxOPLF-ZLYA;ue-BxeH#o5Nt)4iLDOLP8r9^KXMVNE8x!Y=#vf^tZ3* zdCGX9P|`IO=iMvGQ~tt=kTVtir!+;LDV(ivOyB`>{_tI*jPYwEeB3cpN0bR~Ap`Hh z;$Q>5@w|X#;YD&h{K3}xq-nS)AYF)7#Lzp$6y$gqI_WQ!J`MW( zrCRY=?&ApDF#>0&t9t$JTW7)hKgp z$c^pz4!55tSo*v?-v*AY<9dj&Z-7RMZbCWkBNahl__jz501Ch#S{U4s(427?YJE5d zQPk}H9qvm%^k6>5&i{D(r*>GhS87lQ&=Kq*y<4DZuaIjCI9wnY=wflOAO?iQoLYmM zX${hEP+)!2=a}@jh|{o*rezPmhzrd9ExspmN0Me~8X%0MK%=cNV*!-rAW|byJjnP^ z&v7YWi(4Gdrj{;F7^78JYz6@dLc)B+f&3bw5`A7_DOvtb#QhS9(1I{rtiT{#jX=gG z0P0|@axgf4AdPB#)k!3Bfyw-WK((Fj=fsr!lJC82Yy0;M50KBaPg`xIN$d>mssbV4 zJK{8YHasK1bWXosG7d}P=gFhTGflXUR3J3^-1i`&Q1sG5N;*w%h|(Tf0M_@S{OV%` zBX^CfR6<`-&>SDnSb%UXPg_eXfwSI?q}M~M#`k=v2IT{j!U~b?CUNdo$1pn15jyWe zE+Vv9Kx`Et>&@ab!r9G;35gaJ9c$@Ib-~!5pgjx`CF6gxgZ@k(L{hD~{&}`NW&YaF zvz@*R+y!q&;j*jum)EtS6uKpE3M@ zBoHps^H3q-Xs?l-e1QN11n>w!rg1P=A80Ev9kl@M4QVg?Dl}$cRCLkmTk9uOts^9t zIRfV;R+S~%v^^04813^BLYgi19x)P^Xbv@TqkD?x+Y~}_m$B$jBpzgAN)!k_Ko)_k zO_r+oB}sv(sldfZms7VjLUR#<_H^-6w%7iGeMH-iAPScx;*k;_zm-&54N5S{EW0VWw@<%gIr6O{fiPkClALaa zDh(BYl7_%9nP`yf;CR3y2*M?VpbV)dfTaPlTO!nJH)Ldhu(HM*z*@CKBUvUw!u6Cj zzYu0HcDk9-^(gSaqyHKZY^`OdtfL9QCKvg>BN+#XRnEB6D(dQD_BeppYC~AhhELIs zO&hvoksH(JzNAZAlk2W#49HN_>LBND%^6c5N!QxpAxU>2UCyTF0=OpQi~Uk-{onU~ z17;V|QaA%SE8US)^CZIdc@qKO;&T^zxVGv$nti zN(e&ZD$q*rMBT~ts6uIACFRQkNarQ^iHatc7U!q;yjqE7TU zE>-YIN*-0=bsel*vp1|;T*>?tDM6@pt+8ipkCu_CAbQC?U-$3ERMjsYQ+LTqoJ;Ge z1%s*m+=~YAoNueElb2Od>B2I6=m!rYYn9)3b%_=A#JsXkt7pD)Sy24C@+{^k`YJBK z`T|Lab}%h|+wS`PxVDJ8?E2e#n~C;>P6E%xJpeVVafUYOBW&h;ynY;kznT$H>0}DB zdR;&$Oxfxa(+m1Yk18L^@4(BT4>+>|I!Y(9`Gh=4xC4A;W2smpTu*R=4aUAp@J}FN z64sg$oO9!DZrSv#zULGFF5ieJ6z;i`-m^6dDN)cw$l2jM-5sFtl3K~Lt4X|5frxD_ z+5G*m3)fz8yrM-^plC|N^|~nud0=x0zng(@jJO0m0{~? z<4fWs2``fw?eCSYM&lW4(ZW6Pe{^j!tTmza5jC zlGv2V&)fD^WblJBl9e$fBe)Yj7${Cxpp8D(n9$vNk;qGhNm%>f+VHA?P`pVzjK>_> z1B8QGK~6@0f)@iOJNS+VSP8QpjSH3|xSkVFJ0UJSx{@e_wNMM)Z|UBZHy-}Ok&Euq zPxuee=3P8$O|kUs&pykJ5#ow^uf;6b$$P)sg+Z>XdMhWIyol9=Hw1o(~V^X%;H zDfgeDVEiNeBt4{ncgJ*4KV>QaJADcdj}SByEP(T~JnJ1XOIYyfT6fW74^(yEQ0>ER zQJ+E@VU_fcv|t-0gxMbRv-lAqB!ZT6XaKw`t)vmP9#qLKhbklRE+`}c1XYPNONee z;1}TH*0wj7Dj7h#@y``n_Mv|iG*!uawqIJe$-av9gh1JSDr^@X)n1M4TM`mh?*|-n zfAgDRPoq+gEjKRe;5mEPJZ2I;tNal$1>F_wTOU{s5V^YI7Br6=KLmtPoMl@UpU@L3 zLRgL=I$E^ZyjtH4iJK_hkfR9N!u2c@5#vvfZsuVM)=<1KP5pu?8$ThtysklR2-b^d;872I9RX|w3O50<(RP$Be{-p0}dC|zkzxxZa z-Na%Z)8h#Irbpn#&fjLAAI!4h>kQ&m zM}Z-ugmq!_0~Uyk;}T8NMvgFo@f)5@voUT9v>xn?vA8<_DLcp2Xs7cmYwo^+9O+Iqow+>cXgtvVw-IzC)lkX06em zHNmp=HUH40uwn=8vonyvHHgg=?XfWyfW?!Otbu#VHskVix|4N|5P*Pa67hapyEHh}suJZsJzj*M z%&;YnpNDqfui%kd6SC!Ed{4j4vM2w@&^m7Sq|Xsde%N2IO3UoMm28W|MjPhaCL^tW2U;V9*CT^P>-;;-PZdyeZ%3R=RXQb_2)Dj;k@R4Pc^Oj>m} z=vTYs>_Gz(DH7)vj0g@I;5=5U2tyRPnB@#9L?-P2~Wy~RjB&a1pbbBOG+Z9-G)|Q>qY`pt68;_qtEF)N_Z376F zQ{c7nN@A^WeuoRL*%Rn4T!+FWD4PO0g??J-0_$m0A4Qb{Yl$gtS?9#Sm~|2cUnnHR znme>eLoE~Gm~CO<6%cZHEI{TC7`6&m&s<+SzqCR-Z@$QeFsx^s$z2FN0qaD|Ldufp zb&Xz6GYE|lR*m8coZhTDTq1GhyTw|DgPWE^OT5D-@zcv-I9gmhzh3Iizl|XkuqBG4 zMeHjDlTmQhwje}-9*Iz_NQS5{m6?b`u6>Oq-9T|8+T}g~Unv=18PhCEwnhRt)+xjL zqvS0M*3<&T@$eU8YWRJhmuV5`KAPriiBGE~)`ZJYR23F;Mz@Js zh{crxP?dlpMnkmh>PKSo!rW%w42?kPFzk2e2j?+u(XFZV-IO|vmx4=Kfy*hXKG4c) z_B9bsYGI+GRuT@Tx95G__|3t`ILE_HIQ=hCGRg_*u_UgQ3``lz3K9J)@hWs%Qqbf0 z)z*PBd!>onDB0;zpp7S>X`i#5v}mU@-nh#W6t~T*LM>JS=MAIc*}=Oqpcn82Vr`0l zfQPwiYGtjcfDdtx#HJO;kqqU`@^GQfrid)pEAT^^!^uUwEBE&GRhPT@9k>jQvR$s_ zOKh;t6WRgG9tFJ)RyqaB$O;BKD4Deo z;FP$3Y!?W!nSXy@P2xw4H|w-NdxnD90WsL{OhG)x^Q~{`2g+&dUe=lESq5Ph|CZgP zz<0GAMwE4(=8IeqrnTTQ&BpcIpYq$WAXQ&pE))>LgKFd1q|sXG1pib!uKc$k&;1^2x?r^Exe>`CeJdJKx((43hl3Y$)O$Kh6Qw} zeY91z<#}C>@0;S>gt4Unrv;C2&3LRBA6<*CYfXgur5nDD0jxEj=Z@zYAQ-+G@dza=aCK0g%@IwFZKw5PN)bvg3g_tAd0 zJqqZEO4Ta`ln4kFoKmn4_)FukdCAR(rRYP-O3*8M4bBK|kz)jKzktx~r{&=xqj5wt zf%RAvChNm%)eBl^=9T4mEz4a$1v$PSeWcCvn~#yZig@rdPT|M&I0C=z5!gZ#>E#~A zz7Q|}H*uDV+57B};KOeL63+*}M>8L7B?LQbtYZYa?wlG_2)@(4cSogN-;~}Bh; zN!(BH$!w*5Y7i%M8dwS3$CoEU~raL@kxY-{*;QO-vn4#8(d_Li|edkxNY(98}% z&bnwQeT@LB4+C0yNWqTum<)b}fSXB~1w)o~`Sa|R$tI7IE{D*srd{G02w(T?4NK?% z#PLT6>bDSr&u}N74%a{+p-%D{QZuxEbS+__>+NLuwOQ|7*H8O<*(prz6Er2&&~X%} z5Urzq+`VG;m!ZwKJKw`%kjBQTPBk2|`5u-mw7qxkT0#2_0f0xWZdymZFSEujNd5@n z)Q*Sc-ARF`vDfDE%)#Syt0@0nUIM&^BoGzHqX{a+>3%W)B3W7uKfAkZpT0n=@a>F2 z28aFt0(|xkCOj5D=r(7&=fqtY9A^7ZUgF{w!k=s!yROhAJRQ#IJC&ZJ<%d?`5(nfh ztcGXon+ZNY#|UFZNv6CoCVzoYLxGKMa$h1aHYxPcI?TCO=HZyd{IW*064ULdziS4p zNQZ~DybWEBYO>#EjXv9XnH@HcvVA&!Jb9fRO@2Vwfu=GAh=j{*l8_tE-y=Xl0~6-U z0K%X(?qs`YUaw`8Ux0#(i)ds0p*Endq58&NVG(b$ue&fp)Erj8ast!loPKUsmTdKV zpYna`1VYes5M;JlXQ=jId3`Y1cF zw?tc_JVK!WOYs{MaG^Cq0Jn#GmZ9+e<76BL-Aq18go5IXJ;vnRx&J?WRY zt(s*cVDcFX2g{1cT|H`s3o`N|-q5FHug z1QtZi{$8R8BHof>0J%X?LSbGN7_OLe`|qDtiV}h~A)Lkqe1~p(bUq}d zawR5hfpu9A8-h<6GX|r#v}FC4zAM@{RYDu0E?}sP^tfh-{MJ)IDu*&d(~3H936wMc zO_(q@@*;fE*GO?TyHsorN!%m35wa>DIJYF@#p_iW z>>h4Ny28AvVvSs8imS_ystzkqgVlNzpa);ncZQJ{#IRRtvi} z=c1MmDs&0)Jdsrb38pIhK5fMWfK-%ln|d?u#}7~NlmceQ13%(|Z=wQDJ9-D-b=-h(n6&=xTK{&9MCI zG?P$K;i0JyQDk`vg7#5VI#p?g`)8a@=it`5+}5S17DSFsuls`WBOVXRxmy1zfKte) zcY-;>!=?9uodt|<-I?3QNR$(<&>=WRG2&QXJZ>`*;9{Tdhz2=6}65b zSPW^W8!+kLjBz2r7uQ$co)3?RbN3u&t7EA)kWf~i_X*L`Kh35C;%EToyuQ31EyK>4p!kc9v=*NP9EzSn(rk$JuY%t29kxrO51d*CM)>5B$*4STl< zU!_UC`BEV}`wPL|6pO(rZEaK5d>_6Aw8w2}Oc4~qYhx|?M=IMu zO+ACbyX?+c_rR1EH2)f!se!`1Ykk7`<$0#Ho@bXr!mx(hXn=53g%Pd0{T|OhU_kI{ zBL^@8fu0H`@{GDD@aMP|H5J4RT%#!B_e0XsSob8)kFNX>l)3XZ@d&qY-%1#VN&Yfx z97A&x+j5QfF&5R8Vii!vqQ?D83t?h@E`0+t3Ro-+Qx2hdFNlovYFH1_^48LGO0PY< z!&wz{5Hyubz`&S^)7XpSLs)8Y@6w48R zNTvCu;7@oatl2Cp>ZC7m?vn=sC>vqOqGy#`vQ^gp| z=j@Lwyr{)p&Rb~15QYN0>b6m2{P2E^0}p(bekVB0&s&pqC}_2AX+i1ExaV2UGp{#c zyT7IV>bd~rENsSI`dbB0zMTd^DMT;tv&JjfsuHhC=AMPMwet0b*&U5{V4O3Kjtl?T zPAd(0qHT_mR;9WgPy6b68TbCK2d~QLxa!(lx(<~EuGoL~mW|Q}790u*72q0^@J0cl zbvP$%3;Xf2l1FPrBf?hsizUg=$MiS?zxfgPeD6O*P~1}v?SFp%{~+Lb1F^vFVxv7B z{u8c7j}fB11_+8s3B+n0I{}K|+=Dq8`QjX0}+KVseRckkUjSI*b8fwNMEYYf)^qUCpAnrKa1HjXg6$Dv{<=_;F zhjGsOsOt3kzaz%Ra|9wudvrE`8!ldgyG>)(AeP^@f53_m=Ir1}Ho{fGehb71fy20Y zm<{O9@gA01TWb1n?0}f5Ir<(#vxPtWE&ARAf$c(6Y2nt;<>firMfm@3AwZSzYn(C` zSSB{dXk$J{SjHhx>=G~*>%jotGx8I(_+)3F{w=a2tUuQXg^U-q+5rjG4?Hd}n_vIu zY|#IFbAYZ~%P9WSgm_cLczpVI-Rv{8`UY4*{sBZ5kMaRr6%cCm=HCT9vQdh3iGWxw zr?3!Wg0&z-dFxU@RON3%fHv?=8VJu4%M&!f+EWNNnCwklOBnaCeTwgI+OvL&RUZO^ z_1;S~WYS!0RD0*8MEZ*^S|(VMj&T>TheT?Gz;nGj1*ba8UYy~Y4y_?$4aPysVW5l3 zwQ&X~5F-1NY@fJ~yQc%(b9_J`_5~h9iKltc&3Xt29h3W#?nPbfwH2Y>iY9Lu7jQQP zYzoU5;wVc^Gh=S+iqZTJ5fEDcf85>4{)mr%iMc0VVDo{%ZS>6#A#i@iyynD~Xl(Ch z&tMo#K;}El_Xph0s)UFwC9XY*GkJW%5R~kfUE%?*vhNU9l*S=prIla{3TyTes=gYa zInJbFoEm~b>xXU*0by)vhEgW0E@!9jz|X;7bwyhz!NyFP3nwB~Ao!x62Oz)8f5?71 z{h!(X=&R5|*GlkwMgb(X;Fb_mYORYMsljb*xgk>OCVuh*Z>lS};akG~WcntUUB->k zW!6AxHtB#EF*B?~)tWveDEyG`nkc@Zs9SHHQ^u6PrwFo^%Uvv{SZB;hK7LD^As}wr zG`E(KCLHF=Cf**i#D-!39V$Fh)Wt#YY_^hFcS&SdIMum%TTMv2080{nqKviN4E> z>~B~1R{P3Dfk8YB4?WfM*aIVZg7Cxx3|R627$PAvLV|(Cz>+0oF$N)++c3Zwo~c*X zd-aN2x2fCY&Ay5D#OaTJzi*u#aUwDzGUDEhdke^wd19Zl_u6Z(z1r{l{$DeK5mUGp z-(diURJsEA*+94`KseL7iPiH})>;`FeCDG(FlOydxO1uzYom=IHM{pbd7bL}ZU8!~ zSQ5C#3%D0a!DF~4W5Vq89)&NM7VG1f0r%cL+C!n2 zTJtR|+p84>skm2B$k?M#%gm86!WGjH1(*#q5EfuAH)rcu%R`={4AVu~We=@bWCW39 zaZJ1-{k%=QUqDVRA) z%D9Ud7fcWtaGvOe{pXW~HjrD1=^59ok9n*&5;oeMISjj`W~s_o6&S(_b3E3wd~4hv ze=N^E+aLTXD;?$NnDm^CwJ8{8+O0^@25}SFBY$y)V=f|}_q5MACV5&$aENfyJOivs zgGuN`MaXu~YFuB46eCuw>1R?ulfyiI6TH&Qc>`O_Cb;h+496H@nI zu76?a>>5XMo*hgzCnM`C>sRoT`*Ya5S#ajOF3Qa7RW5G=4aU>T2#U366zH2{|JHT) zX{pbCZ>cKBXh~Rsj!;-C&8ZU99txK#?#vKez0Q8Nz_j8i;iQY8EC_B{=*k6JU*n%IO6&Qq} z+eN@XJEgcJ=&`$SA7SiO6oYVCiEGCSe0C34APJl|zMwTv8N+EKt3ArHx8_PBCRI_Dix zN5(w*xV$TK`B8a)KCxp77~pWUghU zr?@rFQH?lSj9u@e!@`dK4mYW5+< zU`C^7>_7$N&}t3l1N|?UDX68g7!Z5fo&6ZkA{&g84qkrVr%2m^v83C2DlAReJJx!T za@E$Q<;&2C@jlQ`Cf!M%Hl8BWbN?LQ4g=&FRpt__3-32WYq3T`&oCT=4llwiJh%9% z4Du&)v#%rf0o1~(cCT}r`HzyqL}_y>YkVEdj?F5bgB4c@Iwn3o11VI8o} zqX3~mVISGo=y`68@i1l_&JsLT8QEGL#oI%Q7_{r&%4%voM7aTLgL;S=!Rz$+y;Eo1URXhKcY19*`X)3TJYWgg1{Hvagl2DJyr8w=F{#EghOD(N zy+e!z$|x|7;g#flOUT?*Zqa3StmA66(>t!8@?XwS6T1>?0E(pmcji<1L*?adT;nXw zTqAE52zgC_(bU9%poFsP0INYd24#KLGAGj+QWqi7fc;d0x<=W}P52txxx2K5j0Ug^ zurTc~zwwAw+JlDHrL!?SwRGkYLt;~wdbIr``h@jW4>2RgV43xKIJ3cWK)$K8AA?g+ z2^paC&2`r`Sg>B2dw^m@i8+FQHr569yzxBea|%UE7sbiz73VW(M;o#R7uUQ4bB*{Z zNR$D%%t$)tbH-ePYm@Fr8DVigAG563at;7Tr=qr&aAcNmiJev& zBj^nJn!MIe-f*P#bpTh$mg4O=?@jbute@nInsKk!T|L=XtA!dTEU(721NM$aoL z@(K`E*#|P9E69H`eKXk_o?GtG48B%Wn?GlqwnvLN)9;gOex}=BX8PyY0=iy#@ZdqZ zefu_AK%I2y(xvq3tFI!EeEtNvsP>R?du{D!*aY!&&1U%SsZ`EMaA%(dK~WK)&)+(62R<-zYoD)JWRiZ!J;7WocVq@!1; z4FbVo758s2M7m7bo`ERBom>q~(h|&99j#Ic;4QQy%LJqyLl6vDL0nQ>fMPSV-$>V& z-c0KYZ?Vzurd_}V;}x|52|HKKoj4*;pIrbmD|cX8{2MPV6@wBBeX-JNG6EF*B8VY#hc#YO3IYD1VcZu~4( zQpamyDQLZi_1Oai@d^=N#j<7@D=}S)etiKVjdN#C?%jS!F2>M!0S@_FUd~O+jus%0 zNCTQlr6&jv@cKBeA-sKvl__Xixy|;(#ybSe8_cZ%Ody2Ea&WYKm?5`>=OvkWT_3KZ zVOB%?wS*gtg+&C%5WkIO#weDTqa6eR0454wOK!Ljjpcd3fyc9HfOS=wIE3A87+kDp zTgwQsR{;%IUP<$}p7->8T@M$&zx<=I8#_-J_nZ?nG2UX4Y-%wp6$-UBWEe&}=C&$w z<)gHUE;$`=UzB%U3<_dy#-Fwhsf@eJ@%Q`^KtAK;+0NLPPnI;ziW(iQpdNe7U zfF=)O%y+UK%;$R>zfd=;D48ch!bEC-Bwkzk20-2&=%jL3PYKqm_3MDy>0sT+OAEqC za3b~zYu30KFiYk)QV?zVtA8cdw}{VRTAl?ILQr&R?v42EAFU!EGX6b&0!S?=bw!uD zhgPNi?8knwEgv$E6gFsqIJ5o=#(p0#Kd%6O^FEt*dAQ?uQpaOUIXF4q0knREt0@4e z@-iCVYip^&9H^lvAXBo_eHiXm6@Z;LX)!psPy9@PgNU_>YffH9c?i=UmWH((xPx%9BN?YvAzBlGQ5MD>X6SZl_M*>KEI5H@J@g8%v}V!| z5l&rU{M}(s{Dc^c>oZvFty~Yrq(;1n=Jq4jcpx3D=K8q3t#ur~5Vi!RA7QOF<6L6Q z=x-nPpRtZhC5X;#+Ea$^4vG{5iA%Kojm0yBaq2UfVzonPGDPU3c77F5P+?t-u{l5Y zRjgL8LA>Lx_YwPn!QlbcI?O2pZ1*(>CTWe>n7Cd$^kS1A8-UO*e**4HfP>RubVV&< zKthGAJ6OvKk{`8FIIc|335KrEtfkwG_c_+nHsIF|n%0)@HP;t+N;L@wj90&F8LpdC ztr?dPK>AGQq0j9`P+12COfkZ=VQ)P>oM->Xb@e9hS)0V!ZSkq&wph0&B>>tHz-JjZ zwV_>WVzdSj^#wAP~jHW zpO(IwmdF3dS^5-iC4o~U{JV#jpDe> zhwk);tq3DI)=dF>5B=xSv3)dIx7a$oMuncKEA@}PlYDkFQy@O>tzsL#L&(>U7X0$} zk5vnNQ9RT|Joh5X{4AZ-WG@gDQBb-K&9RJf$I-bazqmLf6^RlVp(sq-c%BiE(<07w zYe?*1!Jk-Pm{Hk^8bB)(Oiu4v~lZr1unFdVkL6`jmN0pR0H;3k|uG z3JT;2>{$l^y61s|0)p9c9ziw0f$f*lNO8f zw1agu%|PhZ_hzGQ9`Ak#EqW)dVC|##3hB-@_Fs9z9fZhx?0s|WnN424M<|Ob)+bGZ zHQUBo1r4Ar+!wkPTN8ZNriZTz6xp)V!Q6K3SsL#oxDQ}|4H=>QJ#@!|b9U~D#$}zOK zZ}K}+gmEcfr`$}NIx7#JJHjoY%2LvW#-Sea+hmTSrU$v>(ldV?8@7{R?_T{ev>o&d z9|4OVmZ76Et}n3;6yR%hF7bQvUKHG;?|bzJc!c_p`GIU_?mgU5s)Q-CNj}Ddu`0{) z8y*H)aymi%Lf^o^Qin40%gw(e$Sy$>sW?u4e(FQfA_oNwc*iDQv>?Ajp-_)h^0-an zYbslt_9k+0*Ym&4v|bJC;+gTSw7v6o+G)Rsx2U&R0}k_JMMu}r5WgD+;Y~t#A8Fru!Rd!>D2*zN*`WFuy8~^y=$1pEE;2!1xJLUsKMZs7I>F> z-UGZ|LUy3b&@yXEsf$btz^Vd|Z7g!V!t{w#GK5#rgT@HiS$}3JZ6c%7t4ZAdyn#ff z@%$Qt0$H5lXLbo61AjQiQ_0a}>{PuE$^YY7povQur&5Ot+ZqqB-m#X8 z6An-$Q5j%}T+8)V2&|;{7Gn|}Nxr+OgeA8?SV~g z+~*E_&{f4MU_pF>VX#!b=0p6Y$5Dzj_8fI)?GhY{?1yr3iLpV0@`a~RRxX3}W1kU< z;`aZN9zYy!lv>rr~3~jC*fw96KtjN*l#_YEZa5jXFdwulNr6IlhBc z=M-z(7{>Ld@@c=R4`we(l$i-@k}t?4vJT{#iB` znX_?v@A3DcJwHy{y=xG#XpA(!l197#0V2#r)tNt;L9y)Q<<)vS7rlDiobF??JTdtn|;$SMN$aRv95nls}nwadod1qki404fqJ zqiNb{eH|AGm$1h8GVbnJsKzj62!#i1xFZmaD$?f_2veE3a{nIf)4|>OWdIq3&RC<} zE2}Mv+e$1zmZ}7!h9MkvK1pjZcw4N_wp0r@mRsxZr_R&Msm%ty07F&BRbI1u15G0k zlpAi!xS#+KDC6dG3;?25j4=pf!)4=fvoCenSRs14B?3VM_VllQ` z2y|J1gU0cLZjI~6A(GaH(iMR1&hHR;+%PyiU8iQ zL|3_IicYP-9IVW}g23rUSjqKhDBb;<6v}KF#Euy*K-PT<=+pR^An5px$5kW|%_Cp9 z8^yJ+E}`~l&>j_4u(61SpJ4H&`8N@osDYZ30)kttv+r#0q{{$<_W-5t0`{$=q;VF2 zybTi+06Xt>nR|3ux{h+dsPbAGVG%i)TPG&k{ZxK*JH~N|YbPek8q-gsO$G_`v9eB| z;Ks5{yi1c>ifXef7_kk`3lIu;5ALBHfpzSV*qait*?lPE|L8)@^CUJ$TQIa(5RL&7 zD{H%{{}F4|tGIRmP!v#7D5f>0ZpNmQ3Y3m#0bw@*0pYVGT|K?VJHHD^dL2;u9&6Mc z#_86jH`3R)5a=wh)^cp1En0<{?E(Jp02Gb@3CoPp8sL8w2GeyPwF8(OfTj6m)=3yE ztb^~aU>Vy&TNIa?3f!iX0yksJ)MBq-zhK{JG}a=nhx>!6vGJ7mVSE9?52;@t_pkLm zgidApn0xzJqMrm1X6=03*kUc<*t*QRdo;}=T--(2Xq-&rIq7EfxHbIfeg0l*VqJ=L zy}gjke0KB6{BF}4#Hi>l^|hChiPe-eTaKIFqw7sk17`OO~9!#f?#GNuEFRNnrlouDn#2xNV7e>iaQ~MaT9@3 z4eNQedb@y+d&b_So+Si3%^q%}nlS3_Z`K(lA_YiHFV=2^Kde84&@g4}%EWpeCQ!D{ zqwy!&D*u^<*EJ;<;%9 zX#(?FS3X?S1(@-g^;o4VrM!u7Gkpfl$pnd0(|_Pe@V0T+gWAZZ_;_p0BW>IH0Zc$T{##(K~F!MDW( zXH91^OXKPCT!1jUlYe%PwfN~IjTn0@&$G@Atm##9=?WwudVp;{-T3wW~Hn;y{v|xX@jS>@rRoXX$RvGNjl4a7uQ?)q$tH9tcuJQG1 zV3HnaA{6bjPhLaWbqp_Cs^3W8@7-q)$8!fU)B5c5JKU$mQ}LYb)sNHS@b%PQc)adPRi_Ky;DPRsnHhLj82BvWejjn6`-)!L^%nUk!5*5+_9qNl6ICp z1hfFG6fA^ynQ7l3PWpS?P0O+8oh6Of7Z=*E1mL(=hmX+3D0D{)%@BpCCnYb{$)me@ zc_IA_Xw6g9-TPuZ%8)&?(RlUwNm|g*VD7(CYKM0hvGl5E5 z0&cdybdGH=EmIV=FXS$YhS-SeQ=D_le)V5rJy^Vj@e8%O6Bw*O!&R{M90J;%Cs`M* z8trr4$QqkeG-G!bun=mj1fABaL4N`Y3l?wB{V3`_Dq%TmJF!mm0C~6OKBOMfq5v?+ zQN}1gZHna+_VdAYMSNURc8D&7KGlfoMUnRUm?r+yI3o>cHd6hyYGbjry_%X zBn=j}Qw7(QDwy}4EZ|}54fv|Z0Sb<>Ak=zL#j`4w$~ER&mHA%lL3>S-!d!jKB zHqf8sY4!2wgF>=ERw(*09*Z=hPmB{kfWEI_T?~~9IB1M{)>_UB6q-gn&v9pxS9x9v zuTrxxm((X>4(_pj%HJQcK9o)}kt{1Q}dCS*bwDygJ>DnRJ{ybDv|#A+V%h&UDNIPZoY!iA;W zx))ab%Yy%@w7}D+PXqk>_~Va{t#Z5FPJi(if05pK=biNXzyJGbaZy70^G^+!p)arh zEOUybfsODTK*CD*4j>_M2Abc*H2;TeB%=P>24wxsg0RfBWwCKa9!aht#d=Y!C&k)Q z9KGe}_u`z#d^InaMOpbQn=x(-M!IBS85}_{j?fa*DzE{e)PkXDmH-!EWOuRB5GYg2 zY7v2GYv!w|frZE=P>Y56ud(pTSY`sbJo6^^zXj0)L5BvVZs=Mtpw|H7E;kU?@BAZW zq7{Yph89o~41Ny_5C{o_*Y6N(uLdDMOSzjcW3w=7sdAl| z2%3-40>&OJbzqbp;$~BD5Dm&9+Gb<4iFRgwh-(3sl^NO?0H(Qwh0$C+0z@y&e-(!E zS#VhC$#5SA3lEnC5Uzw+^U=Tk|()!JKV^&>Yi0~w560nVl**3sx zrqjkUXa)`0dHt;Oo-m7@ClYJV(+@qpw$(1ybPb5yMTEt?<3{`45LT?r-Gcc!ow?j? ze2_NQZsTfn2CK6#<1V(7UcdZPjG5D)Iek^WP5#HEQI0f-R(D#@8H>=QFp^=C+7GzS z-aF0rkI*-xpejR|gb(adT`2zfoaUoIy zY`G2*{t3X#EMV0T?Z8LO-@yjfJ}X#L4FEj0s_D{WK#Uc}$bt-UDP6+N>KsIV$0@*b zYYZa6?JLMU6jV{z1yN>`xC&s0(f^>_zn zu_v)lU78;O-aZ0&M|*n@V6%rN`vwC3Az&!U_&Ew~nyd$c5$p4Bag;DVoV4Z=B>afA zSC^Jr5#GjfO$#sMu}GF4OQHd-b*yj&UdAv!z4=!GMLxo%t*%NC zoZJIMVvf`B0BoY+5bg|!5`v)-&rW<|4F!BE6E`%#LHe-Z+?Qu=ria^Thsum}aBG6w zV3j$}l19Xx7-Bg%-sAYh=l4@(RjbNpl_22^V_B>Y%2rC$@q5>>~+x$Xye{lcb|PMuxGFy>@_y=96%f)TuU`^B~>4+aSov& zmh-(jdq5AOA0dM7$`l}(1^|pICa6hXMIcobxP!LPjf$>5O%bP1dPC-o_mC;vn%GA- z&{S=*C{hATA*=_Qv4{eK$sGU!mrGaEmC@gDeGQkSA5oYZvM_^QgV}Z& z$v47cQ0-B&P!=Zua$^8G=l#zmi+4<#;=ms@Ic17Qlqd5hNN7gSIb75*-LH>LZk@Om zg%#yYetLR3`Me6sOkwdziw_YrMDoJX%=yaxb?lhpVaAl~=-HT1`z3!*(OXfL20Y7Jc`S%NJfiH@Ox`^jqM42zDW9FM{sfA0r z4PrtIx@A|H#@L%on5hQ|l3ZSRGsjB0;g50&E4eMO>$>^fg(lr_1nrF^@S~ zX0aB=9vzdJl3km*maY8A!=j|FzXD+0&kGLf((|}IcZf`fV^nMGOX=sIH|+qlB_{RC2VXX^Lql@8Lz}Mku;%VsRpU+M>?V zi%$sY(EwyD({?@ff*wjPPq6&5K6Umg_jE;w4S1!Q=5?L{9lQ4t?}%00#KrscGf(^O zzN2Rl`9ZC9TqdQtX0QCQqdA>K=0DG*xT8kNjunHY!+q$oY(yO4bdolvka& z|9CY|d47@t805QkJCx`jT{KouLL1SJB^2)%#R%fz-N}30UOaujo*Syhn+CY-0|H97 z^{cypHCXx3&YdOzbQOLMaJk!j!Uqpdb0}9*_kIbb&>H+*6FCXsn%1$x0n+Wp>Wsc% zj0%*Fk;ja6$2-DJEpn=OIcY3t>xj?D+^gUrBrFJ_UTp`H$0Kh%UHvnEw~S(F6>T!6 zf9+e_z9tRJx+B#$gEiU`{J>{PDiSO&d^rMxHfqwkHxDy2IQBlM{(V9 zj;0)Qo+0Y~w7*hVj?eYuN>n_#xI32_Rp$AzG*6nKcvkR-jA{8)*ByWRK2}wrFj&8+ zH-GArn~UPxalspM-TCR9&dE2j)ukRRQNDF*92VI=NlGfU?^v2@wcyr)o>wgqM_LYz)^7Pr-l!674Ap4Dj4$V zwTN@oFct$Y5LN+iAX3J2_z1_<>Ehf^g^;?amrQjV;%5g&?kRCDjFBc0zfAlqEu;iA ze4jV5t`i{qED1h0;>ihg30`4{l3Ek@k*AhRyO>wE5Y_8w>0V+ZL;f(l#}S}WpaBE6 zPnD$A1SnQ;-MfQex^V^Kw|px-Mc}dbWCLb?ExQ1s&lDyo6qYbkC~yC%6|7)j73RJP zBKGRqPoGLa9#=_0KzT@L%CH<%An9;8%GY{c1;^rAfNzsYBOtf&4)-$-_5cz6?frtX z($)@D`J%AcyPNw#*PRBcC0ut_FWm!gGBarR~un8%G>p&)t&~Al`$$}MPJ~jY*m_scDC2s%@>N=`O z{W9*Yt}0;vQ7T_WtCc|N#uglJA_$Qanog8arXNavV5~~G2QJ^dNu$|YIqCj!p`}aA zJ^-p1;FjW5cjE{Ng-9ewhFl3f$6-9_9kUdx!N($ z1|X-_rmnM9`c&(Ilaki12D;Z>nJ#tRhfiZ%r^_++(JuEax0V2KH|Q7lVqA3c*Y0*N z6G$zX@acQ~t`)`{g5eAjE~MTp7V0~XnQyGaU6g3HZ>G+|2WWnm(*|z4H)a7<8Osg! z6l44~OY88c2$AN9SP=e)yMTX?^0@XI)i=|2?Jl4dU@ew|IP^yA7|?l$1~39bV*#m| zu6ykU@rwq;4(<~l#EK6*-)B6+9T~^PBU~)+1+ylI2ZtsLlNT4?RKPOc2w^4*7K?+z zmS`%v^;4v%-JuxSP0mwy(g<8i_KO+7fQ2l<`zE1;Cku)lLNSWT9toRsq@$JLI&_i+kt>wtqcH_H%jq5g!Qpr1`g=X=?b_s%gg%d(cXUg6WUY$ zQbi@pv^P~)0*Yh5i~Udh9GZtQARnYh9?LVf?VT`RoI@# zg?{y8>P-8THd1@_F@R$`&2HUHP25h7p#htF>i`?82+r|>17LMDN$>cc#vEMiUZSiL z7H2R-#Oc~t_&)R+Li{5@?$I)e-_nTg+kF&f>U_GiwF-h&7`AXvDP_TRt>W}h^J$Vw zm|D_G9fXzKej!u4ryJY;Prj?s!kCT3ejP&Fn3rUN*63kO%&SxRibnm)`#;l>=S;@Z-y z!zxN*l{P@|L+C^3@rfjQ#8@grs|^9M+D()Y=RQdri||g?FVdDivf?DogP_Go1kJK?q3BfH`B*I&1xBUU`Mt_9TI57uNDwtN72<3Bt z{~}d(09yfjwJPj3p|4O5FjXLmbU9jsA1(vJmACO=!<;U`FP9f-zXo9(Zmbdt$M!y) z#;hwtWCugmv%#L@V5%qe$%DRo;0OFczAbHGOF4rEq7%!?R#&Y)#0YZ703~FU4u_&P!5$aCvS1z99iJZ%| zw0Kfp&z!mLrWqV`7H2T8s77JFREHoW&Z>87&BvW0(%Fqm$Am zhp46B`BLzO(R6X0Hw+ZfQpmth0dR&f^I1MIpSF&4p1*Pu0P__+c-!QAK4X2Hm$rkY zy3Xf$8YfQrGgbUaSv=3IXAeQ($hWfsgg#%He~w=$)VzBpU@^8)-tSz=VSL_u&hdbP zO+UviFSGu0Yk@!h<3CPszx{T+R-KLWcYpVH10XEk^Ot_4_s22;g!eFT`H<|m?D2uU{b zG6GiWx2yAIh?N%RZEN$dVQsOFAayx?d!3kr^RKc1OxNhNT0DDAA-Nwdd!Fpz5(UIe zw}@93zXnM7UIwMuu=B>JD;KQ@b!~uU147WoEQBq9#0a9L4Vbkfm zxV)@)ucZ-|Y-tfD`zAmMRvOLOH$odurezB&l`e#|8lnP&5~rp)7{Ob(^NhGx5HErn zuVcxiTg4ZZ=B{T@Nb5mCKR2e9`Ytbg8GvvxK*U#8|H}{> zOfH}KVC*&d&?a>N8w$Wud9bo`!$cJHD{_W}7n=nA8rFHn=`-0zo9~mKF4scS!EYOd zk!j>O_+xtsh}vG;x6ukFpZ6|*nQ?y=0R|tXxnlrmce^VvC1SV&VUHk`+bxJc`|B>+ z(2Ib_0|=}qm9+B-ifPnW(60di>@<M)cyUqwJc{EBqr1ArI&%s)aKlK7ItO$d16SL$j~Hz0z* z3XRT^R#=k-%|B!g%CO6{?J|!9)}31luw?WaTw4Z!npLpEZ|}Q-Ti$7gT8mHHqjGr` z3&O9Z+GQ-uh&NjjR4V#_a-%Vsi-LkCua~Y6cLpo99jQ1 zK#LLWvEc?_had!&gQvCo*f?^JV18IfN5ma89%1;lSD1r)(gDC)cWW82@+YybEv5Cv zw+=ntG2r{#-_GSD*x{kPr~ME}yNPAzW#WK70jS+VqrSKPIwT>Q#%Pt#J-H28$urPG zZ7~j;Xu-=;NS}{c|Hry7p2Mv)6Hu5Zcv#j(gJ5p~OwG=tBvDMjQz~Lm_L)a4NKC#C z$~q%7LwB7^Q>oRw${ZnX5JJ0d?;&GQYXc_-^Ok;o%=|LOi0kgvmTt^WCax7GZUc~w zn%svKrS4=;5|bv-5hYZC=B*>KzuZytf$kV6*xZ8Ubx(7-AwnrJf8ci$a&NpsQ>K5$?NDQh?EX zu<)bMXs>r^Gh(JzU@k{kP$&d#0`MD2uL1~ICqAzh2Lm+KWgK-c8m_XUmlfCnHYq6L z`GsaAVlD31T?t3H90f^LgpwZp40Xjr4gs+;bHU#cyKsyPVzi2zxGF(km**i=gYnG{ zPqJ$w9vf+LIJWIhJLy)erX-^nI)(jPAszw;s?Qk3UIl@A8NtACBDkcw4!QWm_o>2z z&eGCR=8^``5;BCXyqop3zxUUpi6E8-=E7)~To={?^A_#LRRKI}Ikr56h`Kywxr_BZ zND1@%n@=Qv^ChlPSC7S|{XCPbzKXGc&7rVDH$|#l?B_FssVE@-ioY^{_Q?R{v=Q!z z#@uh)cnhcZQ`Cbduu)^o+qfik0Q@SA;rqHS74l&*3fF4)tH5fxUj-cVy-Yt|E$~J0 zP#5vsizxF&_STifufWH2(rc?flit4n*X&uuabiC)9-)ds$E79&?+kmZ)^U$^KVUr| z(koz-uG_q~i`LkXi3Nwo`keQO9Q#Q6%8ASB%p{IAhg<=?Fmq##iL3IK%ulWf$Z0z$ z@Mb>gJVC8vmXEk+`j2~zE>p7?0Rg5GVHt2IjyqA`TO~pF30r&YCSl8i-P3qOW$N~$6Y6F*f0*(k)%8PVFd*w6ma!UVUqq-xyYk*5Gy;t zCUhA}q9c@%cE*nY4fPz5*F%>>Kep?n2!6RAu>L~tv;cPm^c29`ZgbF0i_o7K`@^el z(uP^NZgJ*n+~+-CS-6z;IxFcK{dw0ogtT1^8bO-4ppR9W)eUE7?n&y*pd__Ne6u}b zjm>VQ8gUqFT?FO>l!KrnLlDfuuSJ_y9H9(^wV3q5s5(fU$_6gXKTLb&cUhCQ6q`vq z^B?fOcnBJ=2N*TextV6R@w~%5eH4!LFd*nPr2I0T24=}C9ni%EW(U`&HR6nI5VLMj zdlEo3tr72c+8@WHN~5}M6=3M=p$OVR%Twb=)!e@WOt!D+8__-Y;OLFhN$n`KS0yZ**C}4CBCMH#M@w{Bh3kl?|?o*N3_7>saIwdkv64?+t}TkYL@g z+~r-UEkHmSaMM8(^Nj)=E6%}_l2(K!>8PP}7&KOmFb`5+;np)YW$Vj(Xe~OW(nrA1&{Z;@!s>Rg22(y6 zQiidqY@!_b7%wvjCdPyq8AHQM8+TY|cA?M5fPAS8Fu#r!=n}FvLJZ8kc8$4}c^LtX zF#zuvFjmXKalu<{avdwUw9Ocs!IkpDYiZ%Z`>DNjCABsm1W33ye>q&6+E&K>)L=rH z-I){ZI9`Ttega>D^|JtB+9k{a-zjXr7}r;0$-4elaMw8^Opi(`1LCQVm=Dfz$Ejn& zn82|=a9#OOD2}+tAQRQYN|6K#RrnaNc2;re*#pq)%;}AVkP~aP=V=qEDCEeoL~Qq& zr^KdZY;=}bS8405^|Q(9RD5wQP)TQoJ*LbWZ0bWZ*J`W*1J-_k-~O~*gmGyqA!iIL zJI1R0U!+(!R4`zz)%v@iv`U4KDls?V6Y97f)wL&`5BGoqCr8&M!zZv>@?j3THn5TQ zN`&X&S_dURV;UAI+B|-^|1%OSgL)tcYtLtx*b>QF~S|;Y?n^=E%F6MQaFQCPM;Ob}jCO~M)V?`S0Y$?YfWZY5lDgfhIEDxjNMHim!F}Wpd zvI|PAj4#u_aWso z{Kjvjm6Zu%P-OfZk7|;B`O4436n;Nkip;|VevHP?-R?Uq6A;L3M8rnB#Sc;1C)30}Mt|-OaJ|QpU{&h1N=~o`+O6!ksy;oU7dx{N6 zO%fQ?B`k?nW-h@5E~O=0iGFqYjr7LiVL|Wob3e^@8D~EOn2L?v+W=7a5KJ$o8!JCS z;Q4mMmojFBo416#ZZ3_Mwf6vxTVkKh@2mpM5WLy;!p&xddJoWc9O)vDIE4dZO!d$L z>0^b_uHB?vS?QFyC6J*>60{KLSjDPi9>P;AK^YJky((VmN_F-j&H=BrO=lz05U3z!9T74w8CuB78r>IIBH>noJC%Tgk=?i&1W9Q z39mU{FfI#_*0$G@Z{=%~wq*>2d&|kq&Q`6O_AN-sk7vHr1`iR$+ohhiyFe|pbM$M+ z{x~6-$FK+BbJ6a;KXQ>|-)?=xdooN>-b-EgbgpUXsIc}d$#D<>A+&jY4q)y&F0d|V z1bU-OOuUB*Qn2&|q;TAPnxv59s|)k#DIn@&P|+IhLXMj&&Zi~jm+f|(Ti#HZ_uW~N z8Y{FppkD=-l;dsO>g=FJhh^Ltflo>1fw@>}&ER?k?OK4Z(^3n-dX+ehlBv7hC+X4l z`|0Y^*H0Bpjfg!s?!iC-_ElDJ4>JLFj(d*G!vJ@pf`lV12*<=Q)5T~B1`<;*1{Kzt z4`9+)SZANCq`9rR)VN89P9?{($+_>C{;Wwb?J90nn92+!+~PJMcprR#RW23-+m9Fw zxX4*V$bht?zYA+1s7Y1vJb^n=s!h|{56f7)^|wc9X%5v9Ec%Q$8LnX`8mq_Ev#f^v zLx5cf>o%6iBl>5Xn2>76PNybrMveE;WbNPCd6%_bE5el!>^)#zcZ{r|b*sj{*4xiZ zE3>bJKvlP9J6Mah5ttnp|LM4L)RGn4(`qu@T@y=50p@v<46)DCDr2v_nTD5cr{*J+ zEXp6_g7_+egd141KLo_&8XCCW64rO+n=m15EIQFt7!cX7L;nDD8b_nuR2T$PxbPGK zDC-EWxp%RK*NxEvu11YH*lld5*6w1O-?|opz6wI83fk#a+~y1s{zW_;g^4iox}Z`B zWBj5rj7>>p2HKbvoSESV%0uZFDTI)m88K%E<`?Le>6~2iXe^9&T2D_|A7|W4VX&ky z>S4tIGd;$7k>`ENZGfk{+#ytfS*`$L0f$hEg=J71b`KUI&G67{L6cfrw6hgU7TIPe= zw?pYUAMAhc=em4n(FSqO99$26lxve0>>Z3LmzxVWp;zZQJI`iJ~p1g;9lpj;bQsjBL9{Z~I@HuUdjT>M7 z`P^IJi{ha!;<*=5=8NtS>EQJRXbmRUH5481Z2qSJL^^1p$+w(jRi|5btp`A3F9;VMNTvECh?m#nMShJFMdZHMeK6(K8aB*0lDt^EW9H=#va&><$@TMrg{ z)thO12SqIuY6b&cHNq!OED>D)U9JV|S_r}22a1nn$jeBN$QP>QX7iYgKWy795o$v| zXm-kVsn(1CYW4N>y$4(AGCcHC+^TM?(Fo|GYtjyVs6uK0ki4V&N_X~Yd@Q?&gNNjj z{TO;uB7nu&ecu$Wyaf!|pTk=P7M&xtCQ%AAc3cTd_7OnQ4)ntSi^KV?H_}f1eOy!G z3K2lMj-{XiUTHvWB+8UCfS%Z?;m!`L#2J*Www8ayBk{;UEJZCx9gliOIxP)+M^c6M z(EWVGcjR4%5V?xI1-dJGn_%B8G3Fg*g$vxc@r-}m>9taH^Bw{+xm&4FxJ986#kb6deNBx zgOsqZTx6Liqyi+Ybm<%2jT-k)Dc=FXpi&*c{haEsv;?09h1%E0yuIpvA z^8g&_D|n~WWRA@dy5mciiRYdre5ckQFIX`ojfXvpq=m2tTbEx?^AA5r?Zqn*Q@*uz zKMhdy)YXzyd_9QRQ%im3;@EHsfQ|{vL_tCU!jj%kj#v^JW~4C!)WiL*JyLi6^3*<| zN|f6jB<2Hqj^T-Pt8H7hXt%<0u*fHkIU|3KGH0LlmZ`)vK*{zpLJ0czys3<*u*M_8 zOVC`KG)WbHclR0!udWAYNLoBb3YU`b6j*F~XPw$6!;fu{FtjwUCzpj8LB`qC-@%Pv0Wlu zg)Sm_Y__;F^W?)F#+%R5UgnWN;eN8TJe>AV@ggn1U89ggl=X&evmER#hne)`AD6cpklx=;z$8=mxb57T={C++%SEK+8<9^RY$|c3$ z;$ivJ*7yH05juXZ?M~B+qV=N0u`@YZ8B`q101xFoow`#(QwD9I=*tnCiA(KaGpAq+|;9H|2_oq8oKpysj8 z*=nTr4%&ZMMRi*&luIm~ecTSBL9{Z!jU6r(hs!WOD=^x#c_Eb;Ej|&4OYUrvvP;x@ zfQ74AI>`iFWC~z!vavu{g*BT%n2#-hAo#1;&AdJbPfeEvAgBdgk+eLV@Md;(1{(#d z$TO|@ROBy?f?-o+DmoEQRDo+~r7|g8|y7Fvb!y5|8?p zm)T!vUJ0VGDEreM1?gt;)KANALchM7>!)Hea))Ra3|SL$m2lsA>09|p3S9;1%p*vs zMc`?IOI?7P-*@L#(jM(#+xgwLUwk72CC_~i`byx=J`m8;`p-TRDD?RuRHYANe)1>! zmS;@Yjp3if<^!Lf(048R&i9ZG)8mT(lGcg#>2Vg3MLo4#)YUBAl(fh+zinE$u(cg^ zAyYw16%0MBD0PE+Xt5~@JLAzfaej2o)L}066kPG$dFC7wfIlhOZ}tV)eh8(lYb5S1 z;mXy|XGvEUzls&%gK)QccjNmZ$WrV5I5$&ctpK|yPY{F9aZtwn@o7mnqH34vUQ}YU zvIr9;Fi1kQkakD+>4@djARzttF)mQLxWiB(~#Y+!3K!KEyqdJYMiWjN@>@OZENj_azito*<~W%;NJ2aZ~OB-U;%~9n+sx zVnQ~b;Hm~@wS5^kION;8Ni2tB-Ggd@@LIS)t*BAjLvt6)buDupF9MOX2;^SHYWpln z%Y7}<9dmsawH>UT!z#X5$WAFlp{JI!+vEG}hs}tE>+v)fyC)Tw-L?VBDAXx^kQ$F) zN9c4fRd)gB_pYa5`!er|n{lj44Q#LL>k7iUs1n;g4qgk_V``9hTL6V9%CxXR2!N2-MWNx2=BnE2^dxe_3=(RQAn=5E zjnT=%=k|sW5)oc7L)^fECDX>3Mr(b5R%{iaW0~LPr5apg<>z-N-GF6nrw664r%R>p zaSbhMuE{7G$56L#1J)Sh1fC~p6@huSbzdswG^EvQUl#_)_DYtI$yuTzujy zAU`51IQ=x}0l`7WMOY0ose!O_26;BdxB_5fE!q_O3C1wmLM9X8qu{CIL{g!`pI|J} zDz+_$2xE=w6#!wu2XY(PmEXtQF3RP`ug%WV;_0i{+RUw3wn4N*AHDH{dEyfFAEUgSMl_qhlaxAMBaa~ zB80%%1w2#9#%G#B@rHL<00gxzDjS|R$!i=J6T2u!7ogG&eq672Sf2&qq({57Zw(-& zhakGWr>C4v+~!>?Zrwk+7YIBF+%;I}beHevXc|Cdx3LPeKkYvil#VJz&O*$;xo|DL zPn-4u>l(y(BeF0Sf$WczZ|cw=TLBb8qw_pLO4Ar1&`*)HQkqWg`_oD5FZaMKhv!zYTGPu!j%~-g zGS1_BQP3HWdM&|lD0mF{j-WmEX${-4Xfuuh5GuoPv!bo&i`d{0v^wUwncpR>^d1Bl zIKq0e(uWx)`v9xpI)EWv#a@q#MR=zgs74LiS!+yroU^78Aj`1HoW}jT9*=kk^HGty zbQ8aWu*juVa7`%4&_S`RUqj)CdR8Y^v_0s#fdB;ms??=J{J{jB)T;v&tDMD{gz{qk zavJ)`&AE)VoB&}NMyrfl(F~6APSBmYpjR+n;hmT7Hw#KUDN1| z@ZuuSrtOWuZBw3=wq8Om^P-dEbz$zSc+0}8)%M%W31a5q<)p`2Zfv@}&Ye6)c(8fP zD^TE@t9a~?!R90%fub^Fs|qhtL69QFL_0-&gzuA6*hZWrTu3W_;?W~0#exzPw(js&smWd@~YKeG+C6q|VxE>ASZ$CSM z7wQ03@PCFPa_-a`na9t)#qP5|540ZCt*CKr5A*#hj#jqu{K1giA+(9%6-FrZ@2#*0 z!tb3omG=NTp6sABh{v-9+_TblTkEXZ)w8#UYny3|%h>4KJ_^D#f1kcoAz%QX)*4_5 z$iAr3V@_nSL*>Ye+>a)hDe;R6(zDx{*c=nIH~1eF&Hz~V-HT( z-|K!j=X&HJeieV=#*7I%0jan|jWg}wcgs}noKw+Wlb^>PY(w57#*g)QHd&%PU@qHw zSf`xVqw1;oobBOtKK6?#sy%sAZ^^e$&hwjdQU6Kb#%jztf0|v8P`;<)oU}dEDkc0( zBr_D{`F$$oCwd~+dg{_={+h>weJn38E#P}k>U2u!)0T(wiDypJ?|H_XaG-c$>HI6j zg;nKc!CyoR{KG%|!~SE9JE(@^Y3bkmn|~7kp?PE`fBBbx`MLL;R^E%cw$Qqge(J`* zOIJ7kGnO@&(&H}W;nRQ50;_vZCMXkcAV9~$V{8Sr0kUQUv36qFLs%9X0xkfDlk1Z6 zR+DHK>(GjirB00vmOPmSuIUD=kv8LIO^W;Yo-eQdw`d8zlA1GLO*a>B660wm+%~w$ z%OG7vsCyMgOIIqNcM6wnn90p+DmO_X_(hT~FlAul;VRZopI~3G0VB-2Y8fb_I)G?t zce&QdZVuHd9b-*1z6GNT^WghAl61%Cd(OZxN|?;R$Y`x1llgfk0XY?6wK@}^6BH7- zgTIYEld46$LP00NKElHVFm|+_bDVc0GnrT5Z|64mLcCh8iiK`^<`EPSKoU$cuRx_o z%Q(*Ra0b-I&*znj`Y3orkt?hR1-2aX%01}1sO#EKaDBor2neskd5CD8VE!l7Oqn4p~%m_fvbGEVa7bmMUzvbDd zf`Yya9zF|R?NITS<9mQrMEDGrl7u31wxr}<-_LiK2Df~HNXLy9mbQ=6N0+5q2Wk;& z+WwF-ct`6YI9l8%KsOCq<=p50D+4#noYHyDS(EK=J*+3Z)v4g;S<9Txr_k)y>QAO0 zJ^a7Z<%KuX{mr-2eYD*#&%enYahTK?s|`vTcVHHXJ$PE*YdtvHgDDYAgm^43!mv*S zIcnaw5en-5X$Dl^b*I_8f`A4A)&0Y5?f3`~nLY`b-gM<((DxBcr65L`xD&dx8Q!^{ zDtn(GkR&!BE=)=Qehy7}rI0mEp6kkb1s6mQ7%wL>~dpYfO%ROEe5~wkreoa1tJT*RNk-pi$Vy}mW z1P;-l0kD{7ZVY5j1@6cv_>P1rtPwk{O)LU&7Bc@JHQEblZf8AW4{9M;Lwi*wsRBc& z=Kc_k{RUR{O1h%26*9(Rnir=KN=iorsEG0nRs|Hmho|~%9*c;EQ?O(#mP4dDo8wyu zmjEr(wKR_jdjl<%K5ojrr;H#PN8hY9f@c8l+$~*lnAxQYT#@FH(W$V%`%GD?0h<1? zXLCK6b3nYHkr4RmML@xqYELRtLACHbr{d_Z3=RT+V!7dSjh|@qQDo#-ASFTY%sBJB ziTCbfq2PKMD;jyLXeMiUQ9{V5Yard04&9^*hLqciHCb{(!J-fIx$eJyq8WMBc#OZj z&Y?)YQw91^tzntpUOM~UTgU1{?cP4LUMJ~F?C@F~dk_zcx=?|lUOwCU#&zq-QW)|b z^13Jb9xj)~$LlILNH^Gqk+*n(m&Y%>1->XA>LQ+d5oKOf2i;ov$@Kp4Z`13S{&jl$ z-v5QN%7dUYbkpV>KhCm!4lOP%1Y331eDb*$skCBTUE?bW9Qx5Ryjl?XC%k|FjxI~J z;t;%2`LY1&yhT@P4{aX6y$$!L? z%ymL0+-3h|j|GU8HVe;TaV!@8lb>R{=;;P(D&j2~cm23NwS?8VThJt%tmRkJ-R+Ok zB@~Bt(*hn+Z1-_kB!*HQi)$aC(7MQjD)9IFS(Aco_wo{9LB{miXn-}4)?w_SCEC0X zU9^Xr^WorK=mKIB5_X`01zV539LO09DFp4a09OqGfO1-e7Z$8sg&FMNE>UaHJ=~ad zP}tS|?euuEj<(5=yV-=*? z=gym?J!@`afLmG-8t1$oV6N@vMwV%bAZmS9FkCWB+{rVg9fDDc{n1St%cGh5X?EvY z+G{@Mhzmx_(Vc6pi*+49oS>XBp9NLR9LLq{+2}lV58A1=0~0_z?{Iyq0v7FN9jR4V z4o>>MPwYXEM64T$k478UQ6$43Eb9P@VKv+o3Q)1AX!WRtK!zR9ASXnaP zOE8K8gVn|jzN3jcl>|U(5O@{9PAny#pD1s#*&iJT&%gKh96^7@{DVfLzQ)6x#Ulnt zYyhZLto57|&gaSn5*oT3UB%^SkNBbO&h6~wWJJ6^DDeTzwedBz5LAg`++(zM#3|gavM#rFo~F5{ zchk(;RnDEI?~2k6j^ifd!FjZCpAZu;EtFXTd>qeEcR)eY2%1}}+Fg3xlr9C4lZEh82+id zWPI7Z^kkKFlWC2}f;`gT~9k=jfm_^6n%DF?x}OW!gL+gZWX7#(4!iiw^sfO+_Joqu42mnC*S>F(#FmQ z5Mz%KnL(7p@C_7Pv7jmVk~Yi&Gqpq!KDl|hV#Q)mEHo}hE?8NxtJ$?6p=Frct7=@7 z5i%La#_xSJ(Z^_xEwB8$bot7Eovy&-U2V++ybE-?3>4bbg z1XqQNz6_?=CMchlv5H!T7hmSFI@D+oD>2`NaZTTv|tPfJ2VdzBmMKAQN(s+k=> zPM7Of(Tc65*Jg?DAzE?Hr10{t$~b_9Pj^2~oA?gaJ(+^i=Ott8KE~ohp`jKJ9VVDA zYClUVw_u=eegra4yBOP2M1Q=6J5?e(ws2?7+FZijZ`wl0FpEIpGFF&rCvA2X)1&qt z0zKk;!jNkTp{BXXgE5vO_J|!Mp>N#5#jW&k;dYvV8J%yhqT!B~Gn(o(G~rv_Ip_fT zybO~%M#DeAEP!GdePbF~vLIxQai87QKtsUMX(?!+cHN9hRS3K9EzVm7=eq44 ziAwRfsF&wzj1f6%X|@64R9%IhC8-ta2Rq-WK&OOu_*9DL@h5;$j{dfuG1a1B`0aH$ zFn+r(xkj5}FEX$D62n-J1-^rMonBG@ob~13FSrH1C?4t}o_i5xUS#(uG=FvNr_*~6 z{wBS({)_2{_y11-rH4$X63Qolge(HHc;+~o76I6v?0yI^xC*%T2w?GX#I_Bv4<*I| zRI@!4SR3;x&)}HF%s2FmmsL%>JrLF^7hNPSv@J`>(D~%L*?=1bie%wMPb^4w%@=Vzwrod@mcl| z+qlObr^O?7X7rckKnLIWKZ&Ofi-xd)54)eXEc2(7z)9WB7V-{`GSE+7ox zT^}$}rLD5=<40Hv0v4L~a0k1x^J)N?BTTaPv@{Gt0}Ep4GU-DtVTXMvZD=3e&X#bK zc{KGK5~1`VmW1^V{Z~}(XvX4q!G!x;8t(-qOVX`9lq};6o)GYK571Nktd1ua*TF@{ z=I6kq)?v8)IBx|Ddwtw#0**V*wUlK5<+rB3IT{|f43kg~7p_$LGo{H~m>i0t zRPNly-DndpFgx&IOwKgBM>qw3mwI^FnqOlsNxYpejT^`xu|zCCy@w!(c<^mNLaYfB zbZ!8JF({_qnLf}`@+_%@hNHlsaRSG9_8QK?2chiO0qotyf-uWAkG$w91zVn0gJt3% z4i>O#TmW=qK5i~zal1#m(`V;O5V@{hy24b!K_DpHY_b;gi2c$)GhM6UI#z@QK$vH0 z=7|`ztR?Qn$0uDBC*qlEVLD<>DvwoG^u6V$W?1Q!`LbTy1T?XGdmwzEd;vZNua+le zUTet6wQN0j@XTTz3f@kHFzzd^%i;K*-k19^TSUr_dWE&6upGAd$!$em^LSg~-qTp? zDt^kV8T82#SZT=STL~4)!^z;}_sWkv+D6vHdYL9KpMMMg2Ga*0eDGrf5Kdkrv<$y>{X6M8D9-Qy_5YBbKYvDWg;fG)N7FwAQ1ED--J5h(>Bl4;ZVF*t{(7dr z#_m(D9j;0#Q&3ULEV<&k$ z)5%VXJ|(~JVx0vBr!jSbRzY(?LTUSWf7;8olHUIaF~Y>0mIM(aKh}dKtk%rkLx7?c zn?&+F7626hp(YbhS_ReVU{| zZhi5~>E6ZuFjriEbkX#TVQ?jrze z*X|O$ly?Gbn;l<6sCXr<&Em!z27K_CHr~Q57;~}I>>);@4KeRtp8@1Uvttt^W`^-& z+#*w*ZqqVe#UX*7eZdmnWsOF2TWM={2cQsF+gpUIdK)y6g1ptp_ zFHc0%crBMTDZ_h?PefN76X!D8YaYsv`=9_#zDAVqAIfogvu^G$G1d4TdyRSREbBwP zW5{`pp<+Jq?EnWEHkPTfj^z}J)!g|q{TQ^s7sW$e#B(pA%!}?K_o3G>{cQTtqrU?r z{I}_y2Y(&=iqBQ~#Mn*J90~@D6!G=|-kxIFKZ~Gw2Y^M(J3+PSeC~}APmFo@qLQFW zd9o0y;M682u);(Ye@tt$uL1rMZxC=$cbX?9V@|o(nsl{#Z}T1KD`N;=4eP-*;*)=o zNh?R=4Qm0^-|f&R_t}eYW>D!273-j#*T&_=j6eW;vVf_;<7r8Y%02E8bS*&uZqc^Y z>UwJ6DM5g63x%t_u+VXz!77OU9gx?($76q=adQo}?^%N<5A?fBdVCZ-L&wFwGs#h@ z;@TYHcBQg{ClmH8T$=ZhHB?x*=kW~Df(A6Un^uc@&?#J;PKuAi0#-!55r7qb0!C~c z(lc-i)B`u^fHs0{#<(j}W)^^x2XNVayH-Onjt!#@*fvvLCRTZm2qD!_c-j+$Q{{#V z3nYFTH>1)!4fbTE9A&KtDXYPAK_jRmt;1ew+k{&TH!hhZ+`Y!m4^0sC2YY$m^tevi z#kKp)-WtbyC~-GaeQy=|W;@M7I~k90j76cFc8Tx0AvJd6*^@oy$E1iii*~J#*q%Ue z4Qn(v=sx8t^zZ3jl(A6n0o*{V4R9kmZ0?5JQ%o9(Q+*$$tsXHZ@mNBcb^4Qxw1fN! z?LeE9cy~VsBPS{le~e=}AnstfPVDVH+`{5zqThf4J|<=N!&KBwKh~~dBp#FboTmh< z`-~;&+9t96q~!K!>-rp4nkc0$GT&@3-G6>wN$)ew2Jr*=Os4>tIdLIirSy2gdrD6p zlb!vdb7c!~ z7LZHISHgB&2w9G)*P&CaX%$?6RZzxcLJ)Jbfa8Db?S~pb>;gWE1O;*I0T2_b zgL%ez55l+A&&C|1NxSCuuuQm!;GvE$-?Pro5o0;#xqks6WA^jBtgOj7s$f0hV5?XU z@_HfuO*9bAKN0{uCb?e3Z9(@Jc_=ILPryOGXK4lF!w?YgR($|Md>g@gz*lLB>KYO$ z*Ty2rSAIxstiQ2o+|4kac*Ha-E7_#~gi(pMyv2XWBnS{~y%Lthp9u zw081;ehVWR6*u_hy~UBQk!Gu%cTVNj<{ZAE{;Vd@+&e8?4QX+u1&X1eyV?` zGDJ;^!d}#|cst80`uh20>&ZuNJtiV!a_51f*r|6PZOBtIN8!)Q@u{z$Uj^b*KkDU; zKW;5>|2`YkBuNmjuV>+Haqgs}`9A#c!?-L{dDgT`u-xtK(}}z%#8#?Kd}JHv@UtZ2 zRQ%R2{2%Fm{oDT;YlrVcn?6DT#m%G5w1og=fzFF&-s&zMzDA zRtN^6v9%ZzXbL+2VqfLQvUKT<>9kK1O`kl+_n3m`$bXis)3e=v)56Z!idqnci&z1t zi2z#RtpZy?wv)zA@y^A&3JzP20G(i+;Ne-o*t69Ad3o9Zl3J@FI|`6e_qG?EbZ@0A z;*TDGH(g!)dV0M3L3*bk2C)tknQ6CVeOXI0=sz&+@2(8SD zF?WWYT;^nnex^j{U(p}?H03k7UfhW>R)qbf*Rd8PJ_4q)LoC^bqgBA6U4SF@4TNB2 zt)`@#sauVTs|4vdW9Z=qvy$%52#@LbJF9aY8 zy1L|3J6=JVaomjYy4HX(nfr;fxBU<4wbqx2^>I7m2Tr?}KJS}r8F3kq@WIyGA^h6_ zAQULnnp45vX-QXFJ+%W!_T?T{gbHWtPONh$tS}JR3HIrFN6pYOjd^+XD(<~YX?}ry zSa*;;EYJYnMh_MumZfnl!-|9kpT~@O)ZIpjrjY0FFR$zfC5u zf;Qw3A!)@JThyzt92_AC92j$XD#g5|{^hEyT~U{*48AM%A0nu!AVg&vgb;O11C`Ml zQI0Uu1_G+1gLAX%|&>iw#BP>1p zxFQVw? z^e#H}*sBE4-1}S^U4Pf{xG)beDD8Bd<>1jesc@xx?;(qb3P&ysf<(G>zYu}?(F#20 zw;<&m_IN?d!pnflLuj8?G<(J%eN+8YZkU-Eym=1=TOed`A6kb$|ZE88BWI8q@;<9q16=N6)wGkgXYW7(sai!@fH8um(t@MVAoV+fZ)3-ukUG3m zm1hj0Fh4#v3$=54!x7wAKMY?l4}O%=ew_6(+TD%hRI01Pae%QOFz| zuU^Na3FFR$5<#iG#h9Rc2;u>>ct|Br5-@N}iG1ZY3IlpZq58uXUTOH07`H<${^p$b zPhpznTXcU71r7l2XIc>^p6?%;qe6LtgA(P#S;i@#;27oA-uhA+EU}I;W`g&Dx9@35 z$vwr~+ArsXFOIi(b`bS>9TaeqhfvYATfGyu`_lln<9$$a`br#EUdgq;YPRw)G3u_Cv z(r^Ca|Cavuzx)5$d-EX6vb(P_8ht+WIPL7<&*$8CU%kxAwd%cmnOWyly?poG$-b#>a1H>KL<%QtO{)_-ZlfqQ4t&-MZQruOMPiKUJs-D zQR}~*RqjE`+Us89V+vdgMj9V8#^KENm3uvU*ViYp5_|molL+p<5QP$gKsNx8v?wgE zzJ~Vd8(~7xe#YJAPRUJkoz3(H@mY)=)P{j6O%(y4&P1lC!obl&fJmp&(#pQWLrIJ& zX`YU^JSnXAV-kcLbW#puABTy_u+n-18mDLuBd{v0-2lX!3d%w%$Zcl~eDAn2zLRm6bl>KbaAEfA zusj%#mIv`6h)_Ad7&cxcF7O2LO%_@6M*-RZm^ToU+_>MdM1@c?(Gkr;DFTqRh%mAaB2~rRQw92L0O+d)DNtBLxUFTOOrHBE zV^B1iJR4dLc9MctV=~el@~2JFwOM}k*0*(02BA2p$jAiqj_ghXZpZQ17&uiU8IRb;OUCt5Us+mqI(V)O#^H6!K2T|@I^33bI-FH9v!4eDq!)LxZymI4@c=vGO z$mZ*%>tDoG9dX&%jNKq^t1;}x`Q*Y;E!L+-&PR*GiD*f9o%QQ#1f!f22a$4Rm<{(b ztXY<$h1|L6H^sVXH8?SHW?w}w;eu0(5ZAp^V-Lo)msw?B&mP82?(K9%euX&HGaZY~ zc>=&|>B!8sZ58T(xi64 zdxKi-9Eu&UuoszOZ?+J|0Qjb=x4WF=k=v5)M`sa~x3Nkul$HUm*|Pw?>2|w<3l>2^ z-HukV7&Iw@te|XFW_^qwd`GT&fHo^?{7<(E#E?}`3 zU5er|v5s3p0R=WPp|*aSzGa_-^3RD<$m$tgVj`YGD36aSRuTYj=t^;c)?gZflAbiHW-k7HOpY-@(oq-?-P$jY z&xhHXZKS>M6D9kQr1k5GPQJ7b6ZVj7oNsHYV`aGsV9I;#-gx5N!@T=g5E5VBvD}_u zEm?wRSzQ3!V_f1U(-0DE_N>{a@3t(roM5gY97O9aGt6KgoB{=OaTTQ$&hj zlN)o=DwdTs+FgeZdVEj5GBD2N z9ndGz5Pr*gWfp_bhkGNaxLx+~oH^uF%-R&I7TcBaiP>$p?x`21SSRKqP&kT`VU6$x zYn;ndhYYc9_PJpv{8s4_hqu&S}idKk|-_IxQX}sOUK8CPzk=ZmVxTg?I1W?jWzA zYj>X0mizMdY&pHZpUwnX%D?yXoIMqpR{kCsAly#@hj7necEN{G@l?d!Q=pe2tYML` z-&DmSAy2uh(fs#O{5A;v4}a^=gwKBEGvWVz=Kl%H#HVPXSyRN7mTsmn#Ah>)3Aoba zD8zGd<>ii(N;a*jwWnsje)j#2XWa;vXV|b$hKFX}8ovJ#t}f zy7XMeKoWmtY3&MDqc6}uxI{%Ls{nUvvW^M?1&tNl>gLVQ7z5T=O1mY2#dW}|4S*yC zV-r=tPsWnksB;sqkFHBkk3Srl;yfRL!QuqK9fF{?pwsp7P?}qe0JBymx|plC05}l< zj(Ms7}r z$|CKF%p-k39UImK7o=@03_;=|W7@(6RRK+AHT`2OLaYv(oRjfWjN2Z*R(XL&i3hWR zfL4&Oib9kwf2zcWiHUkZ1?p|=LSi!YXp$NeG>@eyuxYk=+p~vn{cScfma7Uq)u|fc zrD+2`wh=tE6g&WQH+hlU#20lx=6osN>@>kv4SHq2bMP?k**G7&jBkIdB#sOu9t%iT z+gPh29M~wGhPGIXmd-K1P`-J3U!J(vl%JCQ90`{>g9Sz54B#jh00jlbo#X)@zif-V zb9dO2NzB{&n=hYu56$w`Q<27b%M|Ca&U~gDZu3#O!=y!Fd_Mb`{tlS}!{VU^QSKn} zJk0J<5#i#gw`W#>yjT&qe?bm?4^6%$$>FZwOHDXami%kH+n=7wyd>?bT3&X9X z0@ys)T+fYdTt)fFc5J=x))U(w)!1y$0TNzWd^$|yi$N>V<+WDE?C%>wflbSHf5YWh2&1 z=l&Q&x6F=>eZ=}Yf@)lCw%VBz^7b{}d{&SVUqqb5dWUkC*Kr?MoD3t;TLua`?0bs{ zXmtUZgE^aX$bPw3IK>`tk;Sk{jAZ2&>$pE%gJ~+mJXN88zTe*N`R&dLu;#8t%YaKw zXjNoi)Q*~X>`?$8rC7jHu`ST#;suzBuYJxdUqNFsQWkp>2=9I>0KSc)T+~=17T%d> z!o>AAlPAJ_JU%o>05kwt8#QD#xN(yI1e-pbpKY z%ghRji&$h9$FS^~U4~a+$gZ&Wq~A)6kAYh6-CYy<^K{KOobg$O7=(A&npW8V3#3k< zXgLc1Wc*M8@Ad`eq}9bxy!k3a1WUjP_JFzwU0nj`yBdm%fPI4exC|x$Iu>}o2e;>+ zm)EZHo}YOj#v+8R4U5EX#g8d{L_A#pNImVg-OzS6sE)lB+H}oH_TPjr@_b9{L97N_ z)HP48dCsZ2t6s+&#|T0e*C0X8BC^Zk8ho@Ch!GfCyjeFKDXzGr{W``n6dbD(=H*AC#SLOWDo^0uZlT0Aax*bEK|P1v8@}sW*4%(rr@j zV_wfQ?9%Vnsm-?vnDQQz;5K_N_2pPPOOq@eB>!GD;+{tIrB;WN$*tMsaLP-i93cwy zTL0ZCK)6bbq~nleHvZ=~{~zHU7v39w^-G^3p#AUT;swny{p6$VriMdF2B0$$_&WQ! zHBV)egf2c>Yy<;we=2ANo+fbmdmjFt@SaD%4`wqHRv!m?q&g-F+$jYF^W5tRz!*hqL_Rg?;?7Ecs4BH!by$`$Wr&eLTAD zE#_e|U)yxI$<5W&BN<4@{yf&LBaaG`55gWR>nE+z24q*U{?ei=OwKOf@n1s&tX$6W z#Y0oHQuKRV#qA-b(-RM2VRkVJwiIqDOj$oS4Ko0pa4pnY2Lu^MGdpfT-Jrri!zh#r zfGYxJP2zm5qAfR%YfWO6OpK#Rt*UV+8N*V#N_$4GnBX*F2pi>Bpub`oRopE$}ISMQVDyMj+fpzOz za{)ovRJ70>LmOAigjFmM#t{l>O&Bc-*&!HJqKI}ry%xbiwY^Jt6Ua?hSEeYB4lV)$ z7VCmt2>UiF2)h8k*kClUtSccXtDzy^0_}2_;l88TRAC9%Vtm?V8ETxDG2F|5g9Y+y zRvO{8!t1#g>jZv}w_c(30L(l*f@W$90h`QYBQlWLdmav$mTME8ICic<4O|^Y&?mm!ch(X;An5wqGIgEl>@GM{V{SV=`3L~vT>PA(&ifI_ zYY}p7`MD_g)nZ@wovw3lxbMBVbN>Qs_#5MTt_9s3z~k2S_Rd;ycTZVAEm*ECJs;~k z&mKWnvP8_j^p3xI@|q9T&6NA;}W zN6!GpB-G{T8i0+z^W;%fDxtr$A84?LsiW9d9+`?3g6=u072-Lsy}}2@9DuJ=c(u@l zs8)7pci~bW%RiKz1e{mc=#R56+3(bCK91Kl_7*i3h=$522=%8A5XUiZ%cP2TBeT#K z&`E_G<6i+-Y60Z3e^8)M#VEt8gu(`U0l+)fLUs`p$71EXV(i4YfXS%Qe})q%x;A~hQM;UHm4j1%O zVPkBe`7U_5#N zR=VLeuApF`Kwz8q+T+Fy<68F{J;`;)c}J^3d8AR?=(7lg^+gmT03B=WeSKxMG;G3) zHpfv`gu&2Kuzs4b7PuDOX`|`dS&S~AiJ8i}wjH0J-@Wh%dGXJ|E;mqbIV;G zT8TVgE4AO0Q*XcbAHDmw_SDgef3wuGdI47*5a!y#KhH!(pwe{CG4H4UX2GAF$I26>js8Jrt$(Bir@I) zpAX-B@%;!R&kwClso+F`!=`|HTLCTiw0Pu;;9uziugK;-bhlbHcoD%bUb9SqjeK5! zaPpxLX5YZli>&;hN#MoT)V+qFqn3zwl57LApeTg3j#}FFD=FBG!rk5snM$T!hb7?) z*-4eW1zDF~%z!-P8j*MCePqAK3eIf{9v9<&MnF(dOv}Mxf`fVeb-R3K@^$f}JIQPO zyS{;oNNC<%fiakY;i_!jVk}hZxKsS-y4F4ufWvENY%8}$5Y~Pa zeC|zNGdbRn^+aL8poQ(eE7D#d*y9|e6eO^I7}&+JkORoKjhC#-xBXS~djb&9&q0$y z!-r0PQ;gN5hW=$@2wqwEY6SRlf!#s#%tH1=3`qPh_Eel0F^KcXmR3M^ z1IxN~Eb0UW%OyIJ?^>0;0E|$cbW_zrLwNZV!k`!8xr5Wt3vP8n~r0&!~Cs?^X%s8v0%@JrdgMXr`ild#e6C#S%9M9aW$& zgaEp&GM$8^J@H!8McbxAjo=TV}BW=Ea2(TGG%+ z>%WF|H(&1a`IyXy`+Z-1p8vFSK2%x=6icU|`xwd{4|0vkyC+3(kY|0)=cB;MJk7(8 zb?RJm-HO(M4iyV9aWC?v*goed+b4LK^V6M>on3%2dno-KCIyDYLk*(bLF75CzHu#h zZ0_B09jfvYotk(U_oIJ|(DX`-{kMPym2Rywpl~*RpF+800U$|BM1eRx9q2+$%Zr0r z6S`g*FL{+UqUi>OWW2Z<0D_>PaRx`Rnm>(8QQds+m0HY=H&jx^Ts~gf4|B zK(z%4S>KAdCr2sA@~S*jV*@Y)08<>j5>{$@OmOjJPcVNmR94P}+TwkofvZt1kD6E# zmNwuO)^X8~C1HMVe4yu#V1!m5C1M!r#C?DchH*h^aLMVXI*TV7`bH>CaYV4lIeGcn1e=5;!I--2ti@HDZdbFVIsmL~m zT2C!cUk($k`@#mG;|L5;vx5AolFburf*_LnvMTSj8-#=Q_BMrfPU$kUyrz;Rdzgu3 z=AlA(_4Lg!O%V;i9+ebIx{#DHIq6BVj?P?7%Z0xPFnbZC7S-h{vYt3Sb zyIpG60O!s$BWzLMmC5atE^os zrkF+0T2o_HUJCvN-AH-gVmT*^c16Vrfbq($#qqp zu#M|ad4;xN74)DYzrcH_b?rKv;%139^F4u5q9EZK^Q>N6R0zfoVQ zvsq~afY1sUZiG?8yn+%4N}Yv(VkGZ-RED5zxIJ3S+zdEa<(>`f-PcRw^f~j2G3xVY{5J6&4G(L`iWuNKEC!Y*w&u%g6 z*z)X`zx?I!_x|4B+j6$QKV>`~I{o(W0pb)b;CkeR>t7CEy!82SdF5*`h}U825UL@) zQd32NrUJ+bHu=+|XTsxi-w@t*?pt7FE=ES7zcov_B?=r53J5w0%J{wXGH!5QfuTFY zR%M6jAPR0-BMm1z#DbI0!Eon zFJ7Dp6YxtY1c&(-m~Yo{={O4`#l}zuqy(r@(gd}WFtUmuvlgkgS+|`Vopwt@$5k9# zfIV7jZcPFO;toEGj3g*<-!CAyHLrvG7BJ9)Gg=eEBRb^m8frvW z_4(kbZzMkC@5Pus#)ZsXlijJ-eqP%$=9^j*Dr8l2-@eqXn^ppAf@)~SulmB8co|9v zl4KsGj4o>$ti4(sEHJ?+&=nxg1bVo|f^p0RhYEMK>{|watRi?-AU6VYeTKM4yD2W| zX0(iJ(RQ0S8wiG4H(^RCT~Jxe!-dt$;p`Y7;qq$;uoOZ~M7Lyugp)9<#x4@Xtit@X zd0Cr+O|W@&f{d=Bgjc&$dL*duM$^>zU>a$^O97}^W+yDXa$#QI<#a=?AwTA0i zdCoGxU`5oM`3QbF3a#J}(R^3Hl}(flTwQ5d=(hml2J!P2$`6MLv|+Cl-VkQ$FH)0r zVq4HQ+EjtL)Y`A6pd0AWm>(ioEf{V}VDRbog*&N0LDbH|J4qKZtCiCT#Tp3O00Wg? zkn1YoU>O?7EY;|*DxWp21gN5|wqUc547MCbWb*P{nWreith6pHBWbK62pQ3Z>KZ~o zgoRCoY|x=mAx015!=d4v;K$^*&7kXIIS~Nl@tkju4Y%=mqWns0p1xRxLB;x(SdERs z3?Ben@3HwdoBaHakNVAlWtS0b*03G~CXU*_bsYX~v>7a&GQ2N7?{D((ymfM(k9GE( z$K)mGCopQiMtXHPF!Mm3lYxWGb3PyEgO1$AIm_pque>*5GUr**qH`}VkA<$36C^mS*yH9U`7Ro#YPU3wRbkCm5iV6rfRHLo zwOPYk>@6B?tRGRZLenRTZgq)Ta8JTom|I&;(H32dn>NO-MKG|bUqw=rSb)`~IbxPi zTN^h+?2Xtrfy$QGX2=#<`v!FSF><|2(T-i1o48!aDaY0}#G8^-QQiKLJp|3F9{!hcUXEN8!j+ zRB=j>a34U4_peP{1FV7ZVP998uV6`dHiCvNtd?83MI!sJg8QmICBeZKuJxxDq2)+D zoSSQfn`5it+-a=M=%X?UaTUg#ph}Is*FBM@8JmlYJw>65jIRzr=zFI1pk7+1o$_+~iJM!}tq-XH@1p0E zRvDgRqthNjJfU$IuP>%nM6$aC^@ZNR-kGgHb_X*8c_<3qiFxG$pkmId0M zSuEx^NWG3rN;Lr@Z^F#t{KFg=dt?j0;yY^ZWz%h>ex6zU&dxYKGC(M|Y_>~%#_T-y zZ~nBNS9s&FHV0s3?gaLPSA)+I@I&cRKu%t&%^c98o*O77t`yJk1iT&3j<;TBRUk|W zHorKL*vR|;K?PcbUY(S<~3suYUvnb5AwV7SZvo; zvI*Q_2T!wwIcWzkS@xV`Rl;PCTboEH7&`SyAw+gf1&m0%&W&7>!oBdW^>W~|s>M$? zQ_gNmx3buDdhZ`n)>2*5rAxN9@BN%L$!hDp8BO=|6!+Y5UH6&)0dDKCrw4c<-Fjju zFgA8;^U(|X?bX2Edk+E-KJ?H-!Ow1KVqzlny1Loz-n+e~MT_oC{5)~-&u6Y+5NfK? z=mO+&p~i{}n+$*(_PZ6H-ff-J^N9jSfdZ`gVfu9_-hCA%y!+V)Uk2=YmF1KDn?lS8 zbg;e~>kV8WV4xdN3=ZSxGQsE6qpX8>u@G90;3O|;1bmS5z)Vs0&b;?+Wb+w8HNi&Z z5t9$xcFRCdSgt_e;)~QBdNu(k1qd;oidKN0GYprs^pn#o@&X9NrD+r@vq$n?Y-x@U78 z7A#hCU+Y7GL6284l~ps}a;8QA2l+lX{rJv|V^4!hr_gf8#gfTss5wsuAY2+b#kPK= z83o5@$InKPuoCQ~NkGCnY!mD?44iIU+vU>$gIeE>;nEf10DOn(uN*l)E zWRS71jKOG9wU3}oZHykX=s z$t!|{oq5orBKa)`npLC5Efzgk4mJUWn|#*=KIK#WSVp7?&)I-Z*Ll9kUa&^o!3MNk zE6zbv#sPxn{5i{V4YJ|Z!S+UQkZ)7W*SShk@w&WXw&o$FIN8WcEe9x8A3Aj%y?o_T$@`#vmwu*^$yVdgDyU3+cuSzLQQ7+qQ$ zw@*+<0p|(|AB$*<>1MRV3+5{wJ<9L`D}K_NP(>6Kma42zMP71wL}TIRYnT9@Z#Q;W z2-*>DRwwu#jlh!DY=Tu&x&$R&?rsV!(nFih(T|0-F1m$!`uKU+0bal0m#;jLbdY+$t)4ta4gS0^lzVo;% zRS9ag_&`)Tvfou$613b(M}_&()%gao;#doHjc-3rjR3S_W!l?!?xF0b3G&I~LV7Mw z(p!0gNwKu!NCEp+i&V?pz#D;{6BP9tQ`vfHy?T~%7wfnbM~V9sV8wiWBU~pgp_Y$h zE{gk1W#S|2CRGci0@gVt;_TJgL%3M#p-_uS_b*yax`#1Y7nel$3>jERuMuxqYmx%_ zRj_zj4s+mk*P@aXE*VgiIzwKFZUG=&)CAVbybm~1=Uq{iY7JNItjj1{=>a2J9>&tL zKP@cjmgc?`HpZ`psY`E1p$GTzxcaOK6kkBO1Y{W7I0x?lK*DqDWfTOOC~4uUpjllDt5YZgl~=<2_@!`t^0^4a z>NZyQ{T0Tp9wprWtpd2YKdq_B!<szAb76V%GW7+f zjf+15^L@B1-A|Fa(XFol4lc~V6XKTs93V6N;`9S`tWv9CfpNEhw&giOLFiGUd@ooK zO1LS;Ior-K$@f(@WGn2=M*!)em%yN7ehw?b110y+V^i@H0>TmAC-=7nEC~w=MB<0F zLLiZh8w z$ZV~nl!9A+6%f|3zAFLzsc=yw4&n^)Uq?pgh%1P~-NH3qM-&Y3+*7%LvIhNpr)d)9 z7QsPXaIfHgS>=}<0lQ8ix{r>D@CfpBZNUHNK8WK&6U(_uW~8F^;6@pGLAMH)m!pE3 z#NCKigk(_E8WiP7(3T_gK0{v`Ge`H$@c7)!lVE0}nIhRBneUk)O(DyzCyI z_P1-5-RN`N=>bPx&Hly{J%2Wpn%$ON?be667KMU!!WE$6$p=p}y!l?%D%y|WW|6sh zynsg?lo^+b7w{PKc(~B`@64IHwT71iIIc2)RN8c{+Bs4GE`k>uvhA%>rQ0IrZd*6``dS=!c zDv`vU`{UixvYS*HanI#D#C{A;uiuH*#w^WWkn>>4H#_T-16ek1YU9C5?DySwK11}o zCMmx|r+{Ewo)#Bzr^RICB)nIepGS(_Ne2N4^Jk9gcLoAx0?eaY$5gLGfulkJ`J&m! zvHp6NWstRVLtu*!a+JJ23N9&7_ME?CTW(G5-Di&CfkJQNHO@bi0nNIh)gl$yTC{|;UA@VTr|s2x(0%$i zR)bm;+J~nB2lwK6>~F0$1yBWu1z5KOBYVpn)Ug1s^cI84FqSp4HX#Nnv5~HxPArD3($=h*7!{_ zYSA?*13{& zaCI3WZ9|aAc?JsrCb9|q!>T+~)$|x`d94bKOIU`%WJJY$6}YKG82O+nfTjkTx)WIP zEfc?}F%~v3pH;YASwvum)?@*}Sc|wP?F~Rjm?asysJF>+38onRb+qddmNh6B6T=eU zWnvW?m$2D_VaJWjbn^uq)zrd7`zrOThh;%A_H<>$croH2d2Yx+SD0v=Ft(&Nf-b?q z2150w?!#d2G5`_ay?&j$Ga#{sC1}7^SVI9LFHnVklu>O0R!08DKQekI-Nta(z&)C0 z++te1mI@OkCOL#0poPTx8G}K@67Q(j| zP2?Mo5r&kBfmuK^xqw4=mv8?QJ`a5I_42y>vM7e{=bI9GZsd$0H^TgU!8D^0fO2)yv0%)Y$P5~o@{jM{D zG{#oiV3JW$MZs(4ZW1sMA#a;`-uGU&Y875o!4EAv%DlK$HY_DTlPYV33M+zv)3`Oz zYH&BpF)J!~V!YmE04M7pXp}vFANh_&rI-sdZ;g3vYS@+^-m81nS8hHPuLx4<+EWh! z*28spD=4-li-G-&u?7JwrJZ%rt!uUi0F+`gHV;5MJ%Vt1uZ`RRYp4>@ebDZ;rDvHx zwOVH`Cq~!x7S-m~3yI2tu zEiSsc4%KQ9m)odSg>`^9qZ2C#jn+NI@d)^K40Bj_ku9+|7zZ4vpiHEt%p|eVv{c+F zZH!~R_vq(hJi>{~Z;pVUF$gQ`)1jnAApnEnUy4`@7UDjH{g!*E5+B@n#x@jqr%Ur} zK~QW8Gk9w_k03hpnxK_p8?CO9jafh;6a}yvY)s;1fxX~0tOgfHP_$x0kb{Hc0GifT z*N@AM1~L0qf$~rup#3=I#LA2X`T$9niVJ6n%X#H>VP*PNK*Bjbr^704R2!4*cHIQz zo0|jVyY*Iq%nf35A4Bu69jMo6Q{p^$x7cg#ziDjR60bUTk zcKkHfxwz6bw(R|7yq&@G=uzdBHtuiO|2ht}d~}=_cz01bjzWjBA!w&wE)B7USlXdJu!LQ3ANH5!1Cz zV*&FEdQRy{i=)%P0|E`l5|xatqHZ@{QT_v88`t=E@wqcfQEZE$8QqMULcStIU7DfC>6%<0@_M+mbv?{6))pdEiC6n$?TE%}o&Vc$d z?`k0mC(68%HJC5%l@d}jp5sfNR^AJyE9(}NS7PezK2LSa$uDb-nlW6>fdGU~3|3PB zvcqU*Meq4n@Y1)^B*3`uw55&ver^Ca9-!6(C_QC4R0=%szysa#n+UkBU%wvCoY`9_ zc=`vOtWoUk1`c4!`6gYVlP^d{*&wz|23O==nbJ3TVH06B0-@1R)4e8cJKHhkT zf2JPJz$G^q7$`*xJl#$TMhYYeT)N{^(2D#eS~Dte^?of71=O_Uvu?vo?$!MW7#UMh z%d(C_U91*+;V8KFhjovesZNFM1LN5VFnN63l6`;|ln69yAt+cHV=00`L}5C8=pNoN zB_JRz6qrvvnDw8}3o_~(!-~&{EQy9?;HDs04$vcKz6IB0 zzl&wUTf%G0&jl?l6po&nco4x(|F(%*2UbQAr1WUnD~wZnvPB0gywe?4j90;ntBcZw zwM&r^UBOy#9>K0L69pZ$h!7mqD&fq;>v)bAK zFkLIpqP1H>aJC7G#a3+ z98^oVRbxCL&@gsOYaAiK8f>YAqe^~jBw@Auz@tW)8GJE7BES8Xhm%K?Om+u(Rsckc z0l_|hHvM7e{=b6EYdTe+?+y6N=uz^Si~*5V6nU|%Cv-6Cs^7KK`KMYnLgq+0MTu~AsY zC8-mTLeV-VzYPRvadIcW3W6||R1~_-u%1q1<)`vWjFTHDiOn?<42*dI4(W1R3%}gb zOzX1Qu?HeJs1=}j&Y}F`I=$cIT6q8L6A|DNC>#Nd(Osq%l3K@&0}M^acz=hpVHEIm zE!Q=-UU-asEI_DmS?>UXa5t889d6*>v<8Eq2ZELQjVOGl zGZ8=o?y`;wqG~m$5d6&KBhd}&PPA88Zhaju>j2CO@=s0FV!QHZY)h;C52 za=eZ;)B@l!R)p2%(_v)k92SMR5yb_pQs;tusdZg_qHKg)^cL2E(nF9XvkYQ^X5Y~+ zxe(*vuQ?j()yrXF^jTbrst{lt!qqT8^|ffV7=gh^7hEbr`#eQ=s0gqZP!_Q7ZR;w+ zdu3>&?62IL?Kd@XDSC76*)Vkp! za_-U+d#e(N0Gi=U&fN__XgS7T6q6x@%|QZS6l>0gKO&;wfMgI$&&f;AgB0d z+(+J^dyP%CoSdkhu81QTcI(+_9nO5E+u?klFV|&R79srSCws@`Y;HYk5fS$4J>@aC zMNrJ!$xF3SQ}&(bK^gRmR(efn`^1|V;uz9wkCzM#u*e)vu+dYxdaH0N^*}sk?kom zKobVf4L}ZzSx@P0JCG$r5OhDl*imWUPW2GboqYqsfS0rO(PwP1ZgLH+X_W za0vu=2<{LdxCRI=L4vz;aZAvkf#4oIxL%y#1a}SYt{3LO+i&;$W=((n^_stCowblF z=hU`mOI7W9+=Z&F{XR3tzagcFC1ir=l+_=P5`&xeMw4{!idvGH#WDe37-gswLs5GF zLr@rdjznlpu$^+AW};;`^Sm^E%4YSLD}iga#5~G`ep)bW*VjJ?70xiWM68myZwMvb zhpEl%Ue(n2V!U`RQguBQ*6f&?^bOnBV~s*HHHU$D4ZVBZQRqH6DrSXtA*Z>hQ}=sM z$pr0zSiXp#9mgyMvz(&`Tb#bJKcUnwc+C$YBNJ~^aDtqx?%=0ja8os<;dPuQ)eSl9 z-QTx=EmyXYEJ~yjX;(!J)Dihign|xxkXJ#gW0?+`4w%US>%QEBIgB`522FkiC9C@3 z3!Z6Xc7wlPfvI%B)fG8(M(`@ZVYZ=8EA48v1r1EG^&BoyQ{8q1>H+R5O20`nBjgOg zwNgQvm6!9EdIkgTiuc3rLKZtGb9-H?CeN{?UyWOof&#Q})sM%zQ?Qv+Q=Czo=IbV~5BOxtAI`xvIJNjsG6i+`Zf1`7RiLPs;VrwKwk5Q2UV+ zH85t=vE%VLcGK=#nvTzMB9;Vr&x(90P(C+4!mKP$$^(53J zLNd~7IpDQ5GOR1Vu+TXyNj%5a`P@DS#cAphyr^cYa^j`e%pVO|wujNg>+ zGb;+8u+Z7kOeYxdu+zl*wXRd>g)*x)^Cf+QcWr|09yo2Y96w4?ApBOo_#||=aa0Rc zb`Sn@akHv#;+m$h#0*R6tgM@%=2GiAcS8O98)so@?rd2z2-aktK1y}hb2qE+lF&^> z7&sa`K@_NZA)XWGg#lf+z2w!fZNHI5XIjYpgf?uS0TWDnL`;#P$)39o0VrwY9@Pkk zS&k`?NCIDT^tC5e38EB*ASGMFMEK`tRWn=@GwAQP_=A>nFKlh-)P*_Cex0SWu#ae0ei=+>{Ul_)Z)!p!y zcjv`5Nw*uDV~6}k1r&W!?e{=0SVnvhD}x3c`SO-rCfqN+=raVRP-@ncs#Rz)1U-+{ z3?j=QJFGgVhcCh@(rFi5emy3+=^Xyy$BR!*Gr$VvaC>dX=Z;LJ@*uxbvS2g2$m9F{ zuZH;HT}8Q-j*3o+O>1%$x@alGyo%d5T3O?`~OqQu*%P=E7a563;kDi$Tc2o>^Irz|7mC^A3jBEM z(fOjLKa@rZ?A$%rCTc2vA@Jw-Ckv~x(zh#qaKa`#S{}oh95T$TAFyrT|7LnQ=92Rn zbz9ow*Kw0qDU1%9&BeUKRLIFLZ(YdXRm&-MU7R|o@uGu#XR>7AWrNf3<%+@S-0zSV zsxNy&KvZ19QGyqmSEGq7I1JD(7BE}WzP0UKHSFV&_v6h%{QN{i=~A=FDp?}H1>=d} zm(YQrJ>3Z3-q(qGagr<7N*rBia28viX$*T#dNqs0KBEj$(uyQ8`SK#D$Bl>A$pg)j zyvVD7ikv;ze1>K$hiIroni{2EIb6_YG;rV==yX&o-J%rO zqjIa8QMXU;xa+9tjl@zf&sW=h=Ar6G`o_%E{CRnsJ_EbrVW-Z!Z6Tkz6{mPVX?ftY zC96ywI#WqoD?s#Z2F$}MvDO$NdD%zH>_UNE>P)I0&T7dy zORrS$UawGL=1;xYe553S?+faE6zim5DY~}rOecFh0}J^6)3Z0Z?;x z9!n}E1RQt~32-`H=~1{qyhy5Z_D?nfjl#*d1?VM&607isD%*?knH%nT;g(>y5||>E>Ub=d(y}s= zT41cBQ4BXy9AJ>TlqgN_^qkw|zh34XPR{0+X-gZJRkCFDjT%Z`z4=TW3I5r^iC5(|Et{#N}STW8$L=|w9it7FGr z&F((=;7;be$VuMGvhQ7Fixwo6=|4=D53wdW2)2rLHRC_C8+@%!YxXZSfp^NCiCD+W z&Q15X^P5}fdlOY(*puaXLHy@CVyH8OqOO?VSvPA}rK!z`{D>EYN8PN+ZSX2sX!B~0 zq24r=Ixk5*UEs^JnxUE%< z7#C_8$iCAQ8+P#(n(x`3D>Vhj8`N_M5$>f-Vt$Oug4HT?AnnhybcXwF$r2LQEF^8dAP$$ypAjRp-GvUTB+xO3xn3b5Vl^9!lW_HutLrw zq=86F)HUJv(ob8p1Am}tZlcc$UmUqmnOF9@c;zhhKtLm0KD0{z$OUphr`;LcV!z{~ zwD{p7%nZN|P^ls;nTBLoWoUW&J?Dkf^NjM|=KG;Gq>_x!Rr=iCU3>={Q+?su7nXG& zXcdj=ehE2XC0<7fkD{oWu`3nU%J0$&4j9pnz=Ya%@aP+{a7uq~59qAj8$9G8t))(0 zFI0mm}vldmTFDl3DkMPN{XZK0=hjcyyZ$q$Cnx)u8jCUApI zn2$(-yDWH}(0-$0dcwj6*OqF)Cj9-Tg|09NVW<6@J1hO#kxt{9(d*e;HoVR{umg(C zokV_C@GFe>rA+t)u(Gf1bv`nUVJV09B!vvofJ{p6gibK61{g6adw!ZR8CZT5HzZy8 z8fA7^vU%dk`w1kG9f6N;~u;Xeq#3v1Bom2WSX%q>xiA9;Hyr?xG z;^Q17Gzw0QTleeY;vSFSdNvTxdi^IQ9JWHeWOZ09@@A{k9s@zq;q)_TSZu$t$j~?I?_v%5yYLo|e`m{T1HF zXo>tvqyR(RFo#)rYGhBZ0796)%{1m>qLoqZjFy-7dbz;P4kuzFrbiO?x2gCor;x8Z zB`adJb0F8Q?TdZ}?$AqDTvyf2Fy6o-E*&=;988P=Mtw{9Ai@exYK%T)oR=8Wt*>5H z!6vnvn8UV3$jK9B&Ue>O83Y@C=Q7}n;0`U%=dP9v`(4@DiVyGqTHP?0lb|#qp&UOj zQ_QX!ZS`#&;WR}OZ!wZoGV6l*hpPf2Eoj@)ceCX--1tlV>?$dQFiK@r71*`F)m)Pl3@Q z7mD#5T-EDQEOMI3g!dv^2%fl^-?YxD7D885-b9iZ{|q}8g~&2Andq5UXmhYo3jDYm3;1zbuU75cGXe?h?- z62JDw+|4<7as12oIdh(q)4yC%_LwTPD2#a_+=K^@G-@}Bd=f<@vvdir_s&IkmJXSV zu9#E7Fy2-dyjap-o7&em{M<><>4wCLX_i#hsqvkkrE#4VRMymL@_fll$YDYnUo**7T8>>v-kP=o zjx)EgMalo7pIvdeMt^~I3vWcmQL|fI&3&ZC+1tR#vo-zORk zw;FK%!nZa+4l{`6r6Hy>WQ3r;{~@h$9eIkgh5$pNfNfeJ@`wQUg zqXlgfPl*fl5r=Qh0S6L}vz!FG{&^;8WAIiH#~eeN_$KJJzA1>X<9x#nyHZLaNG?#x;v3^>v(NF z02`BLrm(ug;5*5!U>n#IrmPEe8FiGc{*~WL(|}I&cGN-14g;9Gyf0w=k#$NQds_Gz zb7=eGb^#PP^m{0KYIYcNNJJx>J8SjJ>8?w!X0x2#0QTNQe^cz5hWL6n6vo4st*HZE zq}>GDo4#|i&@>8`3Vb}4R{>X$C^ z$giI)Idz`Vez$3Qi$+TYvw@sOz%de%m7C)nID;9tmM7nu33o&oc9d&!~~_*M6F!(VFGH<3?fWdimO#)u-MqfbT1$%dCZxrK_(Gt(?D zQdU`~4+m3k`GPwUy)1lc%_t3gF7p}{$l(`n7cYYqy?0bAOti4T_owOThaOXnHP+jX z!-9B1m-WNWWzcoVU1DR;Ho5ZSwM?rdGSa0e(*txH?}MK4*JF-p9d{>k$g1e3Fhkmp zz2kaXTri{w;$D`5uz!2RM;!m@*wd(8AVAMTxE)p%oiKJhM4k$ja&y1mrmbVgXf7SY z@zM>Ti>+5{&71I(n_ZxWH$fS~`Gt%@Uoh5{=r3uky=Ac{#Q2JFIOlyJsH4kyKKHo! zv#DF!&R#O58`86H$j>V4bSkHoMT z2VZ81`!n8jmu1rp!L*8%J2}$F*>P))kW9j3sIF~Ad@TvA?4>vVv6cuCuU8pq;~I2wRd)}|Ei1seM4rQ zaXwuCyZd~L)H2m`*CJBI?2lYbS?m{jF+AM>dfKmIT1>Mws|cvsbk1@HyCcO2M+N5A z$lZ2MYwsjlx@cI6JsXD z!NBKTtydpOC|m3O-oNEnxB>PARWs>iekw7}^-fO}Hv-rA0XuXjA*h1=Bbh3l^e}jZ zyP5)3E1FaNNJIUbE&eoh4 zX5n|GyZ){R=<_Te5A-=i7hTRPZFQEM z*Ln3E%D%$>{4EpRCGi}hhqqJ1I|{ekHb0SHdUwLk4HN1_ML%7qI{HHbwrRN_AumBt z(BstsTaF*|=Ir! z@VC%fkfyngU|Aw2!W3=(;9{YC`X^kCx0-q%V=R-X z3aP5p-Ws=P0D(H%zj(ScdKh$zz6A@TB64OXdoK(aAD{2Y-t(KR>Uag=A80Y^>x2E=$FH{!ZZz?xhoYDqCHBmTg ztNryfeL3@ZV@k4=^>Q$HW6KEcG6Ger6IA!%T(G5j(TX*nF;W404Qi@c0^4220xNk^ z%K5^zwQr|!0QQ~?~EHQ`1;aG02Z|pLe>5vycOHv~5@ff=E zd7c{)Qv9U97A~LSM>CGx=Tk21QI{s%DIFz$&a9s7T| z(tqVMl%X{Gu_V)j5pP8D=9ZYCX1i>wH|UVhz_2nHo$z3=!_;nV<73Q;Z+&TeSFEmb z5Xz3hH~#=7+f&D8$iN!fSDEY$TR&9ECDE^GRwrh=Z#@)M$UTTO zbyd5cWwZu8$7^@>o^lO(I3l|jAAlN@-D+N4^$3$LUJtq2(C^QfrK6JFABD_}m}D#O zw$-+rm!upJj7O1O$B-e9jS&Q}7O<gW>(C`7vi#z#$l8VQPZ#e?)+a&K z<#Oh$$sMwhd_S5+9q1D`Dj$R#BchIEqI*a8C<1TB|CebWFB)7=3ayx1+Xogk%G4B zpgZow&C($pY5r|_&&F3PPm)(3`s+B5{GEuXb)7m2^9sYi?z8;LP${6oH3-eJq&0%y z=+$Hc1;7Ui+1bz2V#8PValq?@^i6vVHq>I=e>@PX6k0YK$Sb&&!yi%kC`Qn4zt?xB zVydUKIk$XDC8GL42eFwjvpYQF)x9R*wbJyUEUJ=iRIM_ePiSb2;bE{iMSPf@6N_z``tft_KzqiD@8>5rXS5UcRo;~8 z!hne{Jy^LkT_^nF6pLf-)MyVw-jSm32-}7fA*boVQ^Nw|vEqEh)bI#x;?NV82ZyUz z;p!^C$@{48>TOG2sJOp^^+0C0llrG^5V*5;^wi8z!yol^LK{7`NbWsHVkPCMN zb}ue}eSZ_CIhK8x7xP4PA}$>UB*ofaHrM>~&XKRpQ+a-Uyv-?EpGBL)`6O2#)LvP` zgHlK-U&s8;T=1FXB$P>?;9HwlpD>&Ua4wo|eVue7u7Z6AxUX$^yj44;!U% zrp`mxEZ1G81=BTW7dD!gJhrWK6`oBg!70Tk)uy|qA6bE>x4suj)SrgiRMoEMQ$RZJ zU>3gYLLzSa^urD$vM0zAAl8HHPPY|QxV?>g95AL`zigMaz8=$czg%M0uez$amf!KU z1zEBoBbXx2+~Sh`F@zYC>O~=@-rnu#EIBRu^Ifioutn{mE+vZ(FqVlAjE0=lw{kDg zEO+s}wCsk)I{v^bZ(rlr8g$nvE+aS+h{8e5hrzH2bXLreAv|Q_%kQqA&j-$kY^051 zBjsHl`fkAF#k^LWLD}QJAS={kz)7YX*WE~=IF%XW&coX+kZVhm&J)V(B6MPPw{thd zaY-EYi}z-KTbC(*S710g)ZM;PLaHSqq*|*}fv-OrGMCphUxHUjZzDK&o%(wSgRmPz zAT-Fx3VpeFSgZDh&U_)3VAtVVLRw>E$ipT7{UO3Y+ozhXSzoLe)~>&fpHd{XfWTy)?V8oQ`@EnS7B~#>q5&U~kIP)9siC|EALU%^ z9e>hTMT}C^PyLfj4L*8(d2nn#r@V^jbE=V!vUJfLu!4v!;wI3&mN~A{Ha85N9}apr zOTQnp2JygFUP2zADse5#l-0Wt9REkt^HO z^-I<(H=PR^?S1Pfq_R9)ZD|Mwx1<<{k#7gsZO<{0le|W;%Jj`R`@+&vw_V)#YHe-p zZwh@qW2!lyO_@oTAKhJ_UJnE7L0IijkYx1h9ZXbt55ht+J1xo{H9gm9GDHKY0pq-odO$@6U{vzV-WWFKb$0%+{e_6{t{N|CiTy z00w*k7_hR?c$(sUoaX)CUaed>w6>1S0JU}bbaop9-^v>rW^>!7r!_Bm0PP`0fbZ_< z>DV62Z45i2aHJvV zDWFRfVNLT`w3NESrvH|OkDp&rA}?%33ppqp|L?z@`6znvSDy55o(e;Mm52U!KMi;u zMQ^v2CL{k}s|`L1JeCL#&d+=??El(Mg2nydF#i8UZd2DV_TRk#0F?RvM*4}}XZc)e z6yk7Di8_N$y#rO#*{H0cwKdasK~F9L;Pj|W^&%3+Z2r2&C6h~j2*0_C#~(CW);+N2 ze)Uv40Ot4!iHRN0&;>9KAP@IS%=vV8XbmTt!t8tY(~7I9IW=do%u<47nc{s1&YVg==dW5Wl(^D}H=fHF5OU87cL9~5SVEZByT zHRT7-MMjWZ@XS{jx!SF~u3kq=_OT+9hPqfa9=z2MI1X@~YL;&B0WUPw zM8vh>`w$rgd@vgtBByEa?*#F^AK2RCh8J^qkgKjEY~f>USBd_zhnq5VAm}7S z>fhull}*)_xK_@*7#28{gF9+D*M@L2oyYl3lqD{7pJ=0t~1b~!@7%Y`=U$MTc+cH9_y+Xr7azVApz6e=tWEc zyQ!X(n;i$Wo#=~1Yd^?Ja^27Q+}f@P9=a>)Ga}#WxLQN8kG%_ zpcj^q3(FNUXtocI(}F>AQWDbAb?OpC`L)EDKCpR4Y4W7NrBmz_I;HiKf$RESAIfk+(ETP+(;YHlz#iL;E zx0XLkz5y*@Z3l&+LINmtlHj{FGIYpw3S@@qEJliSre>*;oA}58W6cM{owWSJ_QhL2 zW6^&a49OQX0oZtAQwSCK2<}CO5T{|%TKUrLhG9*v;)1=RDMvV1_HJ2_cN}eg3kU&| zKJp7Gna8>`B{RQ9c@YMBxFUO4JF>kWgoNd46ipnd3ZJXi)+^t22;X&>bFLeiVEww9 z?h$$!b-1Aj=|6A?274aVZ~EJaPfbl3n>-Ge_ij20I&D4a7a>XMwZV}- z^M~u~@x}!Aefrl7wVXgpi%THQ!Bo1;ntbW#=vcc@d)|3<b%G2g=@D-qPO1?bqtg$UnbB;ai4Bk5hi%&>v33XNxfd}+(;>hN0*Z(CUY zw5HpKETrAzs+3k!MS|2V9_kt4_4(~3;f}MsJQ~{;RYgLU< zj%~MI2tRmfJch5GemlRp3SGP;f*cdoe!$!bzO=oIfM6aHkdQ`oa?rv#)O z*#VCFW>~ZS&S`_Kq|<)8*5~r@UKfM>O+DUKefn+v(IikTWc^q-mpoO5Nzeo!c4ier%a80J4uLLmqgOJ8 zjA_$U#;uJ4Ff8zG&9+e;(5@l2sQs;P=?oi)+x*JQ1xl@T{=7U_tOmutP} zYP)_|D#t%#aGgzfqWhpqce_5|(U|f~tkUjp^dEK`{R0*+{m{M0A%e7w-rKo}4Up4- z{B$s%@Qa28*=2)7VyPR0M-4VMO|s@4P4((za3#Kxzw86~yWfn22vsrhY@LIncAEyy zym@d&CPom2uiEfk`4AD$*^iGp(9v^1PcnBTk5K$Zjq(C$CGVwi^Jv*b4pZ|SUFc76 zIsBqhkce-Cl;UXGLU;JSPEK05fTwZv;()XA;(a&q-A#NHs4xbroCM z>ym$KIVOUzc@1BB4M%qFUDhpDWH@CW;wY(}A%d3?+sW?Q$ed1J;@<`7Uj-e>FP+IR zI6?*RJFm#zra`S7`xqW2WRP?y^JKJAxlsxpg25Ay;@qa(HP|PbJW1@6B zuGD>GjVdX`dm{(4qP{~sxCCgON=~}5>9jR(vY^+Qr8Du(zCN_b2X~y}&3pRzqnIeK zj~eY4jyi{0N)0?1D1R#4Wph=o77w9|_+}@+rN|c4)FF(25ZUe#V>a`;^MM4K2ACfF zhuryJ>3aQ1VHVeixOIS2Dpmv$6Bv_}iT=GwY2R{-2B@#%Cx zRc6x^>bA#YNWL6|r-vjfE4x4e9Eja^aIApX{b|hK0tl8CPwq~KL!bh+oRBAVubJeA zlD>csp0SOMjeYbg!+wN$yHTcOZe>b#dWpx<4;N z9~&D>Ns|{2miniio45(O-N_2=KraCJ>%lMK&3%~FzqJ&t{llLNXn$&-^d_PdtY6#V zRpeo4LLeTq4!(})AA!(g;ZOlYnZP*rtk!7Se+Ch+oO=Z|_MRN-<-FZoMcY5^oF9uv zcRKbj;n$hrrPUE(3FEh?8j*UU2E$<-NMt%emFVoQPu6YRE&S5?T}y90Yo8rr@3Gd0 zE=cb@d25B)xHMiK_(*LCbd&|EQX6A7oc0(h9Nb?lkLJo6y1VnH0kPS0<^r;ZtDX)s z;oF(H`QxF%!63+u#)C!Gz*Zt|cV1r(*==4cYmXtMX8^EBTmO6_+w4~5!&;v!^asN! z4=s&;P+;RD?F)S}Q#XpRQ#tzg>-uP$!|8`U8*_hno=C4P^Z?RcyS;zKPsU62Jvp#F zC67Up9Ks}Q5%1qt?;!Fsf6kNEZu~LM5KMJOCk9gS1J(!RxPuP zmdwV4ZPkA`*N31IpYiIRflp%7!t-<(j8imB#fgNt20G{Uaxi?gfw)UxQh#P8z0%g%-$eMu)Lf z^};}nN*S)Ov&;#z3Q-p*2#y-r{0og^*H6mr^23#HNgstc5j<9W_c(7;d#r_K0j=dc zw>jYE;#yrddOTfeVq(H=L1f%#^YAY9=-aRtb;IF8ve}KG8_Eku z;tS7#7nMu_hlR1)?aBwWdh+hN@-09tJXcA1BUpOL$hu%xOvm~p)F{pv)pcxmmyA}{ zrTD+bLjHko!R&D?vUdjQ{P&?I-2aqnXT!PX`%T(Q0Lr5#l=u?jN&ey%g$)SlR-!jf zQJ;3i66%@{V~FNJTqX9DbdXdDZr}4~x7u%UGeLz;Vxj`Oy1J&{Ed<|>D?-)q$;coj zznfD$Sz2xv4$*`!jD=rTV|dz58XY~=j-X2qP`8_S4L#(ixCH!13Y>FU^T^v|_|U86H# z)xZ4G?ZU1U3*<2lI7|tdNywh6?8%n|?g&WJt9!)0bep{Uf&63-FCzBKZ?H1^`WPO{ zSwk@2yBAf9o}N+YDuqv+LmN$SI!skvF1So-U3hezTWD`=*QJDSem@p){|Iw?6Q%4j z*}BW}IPa*9z;7!)oGC6LpxyY|3;0}^`EWfhklz)0V1S%3tZe54Hm-me@-Ng{Kl0f7 z6Yr#UyAODJp9QKKdsWCOKco@>jevhxZlo|g!V^v(=Q~-5X0`4EOlll`GN=7<88ZY? zzwAZ8OA)^uynh6CZxmhzLbE>h<+I@6 z6A)}~RJOD%3NG%FyQXe=&wWtdKX00P3hU<-iADuo75%d3ZGjUVeF*OlmY|I*8-po; zjJKlh&96!iZ%PjiOAvv4;9}uGC}|QRv8T#EL86%hcih!C`O@nU7bG*=SH3 z;936>q7cX(&J)#>c7e4uHIW{pxdxJ>#QRbGS=ZuKfMgr0(YCOh)+gBr#B?e~G;ID0 zn>@jG#8|MA4v+R4jnIZkYx;NSzK-OyUQyDnyaxoKq;o4yd-Ot2rf@4U{ZVw9MJCVd zM$E6GqQXX~IYa;Q4;o_gf2KtW zjzR;ez+=WRQ@mI5z<%p-h!LnHjshp<;Sf6y9r9_nGIce(JXlPv=Wo2^y%j9jEIbuMevD0uxRc5xLRB40COO7!sN#Mlzb zck)7-RT*w|>%l(f8?8AG0tgec;7=u%^P+M-9;VUPPeCFoa}mb|45%8$wXw749jvt% zjrGYpSn80-oy1NTV}WU9PvhGu{>XbWsbu9CQ4xGx>Cv!2ktkBZ(QR{|>V$-ZGv~}$ z0uIw0+uHXc_>VVEEF}kyn|x=~xZu8-%4IXpb6Rb2u3W$D|J>?!zcwnU3x%OLTH!J~ zN=PQ%aTE;qbsGKoM2k{-VNC

    PF-;JKc6$30{6 zE2lhf?VIHMiwtG4e~{5Sk|{p6{i}0jO5Z27h1rSSd1w4=ANCnS&af*^FaulwUDpDLhIGtF^XsC9n0w8RX#b0Fd{m78Ojkr@C(Z*s*4Qn*>Xhoo;Y z->C>Q<^g@%h;(*$OOLqd5stB41|#@wBM_@CNen4kPn_(3RIh@=9*>@hzz>=iWkN zVyJNBn{0|;Usn3BIoQa4uf&5jRaI5_N`MlPfOp#A$D6ZlF4u$kv;7GTeL-)%KIw6H zsZ>2W=T}y9$ggu3UXu&&SB>pWYTL?dn6Afb)Bv4uS@MkOZ0_%_U*crdzH~kL)4NUH z7VrB>QNf5tX&a1hl3wVfYh+tYI7t3!{{omi$s7FA*LgBsVJu5cW&&a6b)-B znM~nx!#M?V9{*>!+?(P=fm}|kDRBI^qA?e;APdPvAo)LY>3-EOQ|-NmaP=_k9(8`SJiX|lEeJ?IVy z+j>cohw=3N@E@WW7?KiSohT^FyIyMNjEzdpm+)Gv>^4?U>CFjSkFh-}Lz#R$g-S0R z{esPuj$?%2$uG)n2g|ZH$06Pxf1=qu+m}29oEB;xOJeYz_t%@x1N9ts0sN|5ZV9j~ zu8=IUN5Vk&lR4|CyOE>X!BQ-8Dprdfw>fM&RUo|o%ut#n#Io_a6s#+^7+9$H53=;y z-eeg~B!*{frHn&t1iW z)0q6Wm~G4ThRdil%{TSrxSbqp9S zVidd;4lf#3%VORieaD$5tuiZ59Z4;h6rCq%)ERo_&PHQ@zH4+sEq9I;n*GodV|tF2 z_Xp#bV#e2DnI}^KTg-=j6`^_r!#Ji73!mO+k#(Op)?+yr9!x4qZpV(=gd@iOCganh zdjeAeiN-f|f~5*yC|-^Fim1VPT9(TBu5VjOxtuXB6b+aW&VEoRqi7cQ=nEtFRb*$_H8D}Io zl^KHumx_Gf%}1i5N;V*%)C-;=554;dn)FGILqs^SL)SjgZPepc7Mw=%HCxzBS+%XWbMolRsm^YJK+GiGSf!sqRfwwDG1_&IIvT(I2%GjC-e zrH+J@g`?S+&p^jmNkZNYBzCQ^dD%Lus7mA9%8J;&6SHOsd~4#%dpYmO zK|O_tO89XJC@9Hm@eB?QQdef73*VK?e`BX2u?2S2*LI-sGkOn7n;^YiK-b<405h#^ zaVSr9u`u+wA$R_^>ADbyn6lSBoAnz_vmTU&c>s3AOx7%V>`wYSKvI$3&ODJHzq-SrJo!le74qAKzsT1z^tfJ6 z^h~_ju=Lf`*KdfwtGlVzSBQ*%g|X?Y#QC}5p(ozdWGj{dZj}mS{ZwP87HHrjLAP_Z zN~O3XKNyI+~3Cr1}WESS3pO~2-ZZ?;d)p> z;fNgtaT^*pdorK4u?a!e)Z|Pw^1#8>w+Crjo-ShSxpmNsInQLcpum8c`&-WBp6sKW3Sp@RdAP3%kge;z=A0|*JJs0o%%=znI_a0q0DgQ2xJ7R(@)`Yq5b9qv z`>7z2lQRarH2hx-U>)F=y8AN~uYa#8e={;p3z3wU67l zGPLnBGh4s29sR8yBPIZ+H?Le@M^za2%mTqJ`wtxr4KwZ~ugVBQPWleWNS96Hz9|{_ z%1|v1{JrsB$)4~3&eiL$lzXDoA-T&ku9T=wmx0rIg6Phc~+4;fmv?3_OC|sfG-y&5(axojsQ8AiH_rMF3=8yd(kaBf{1&F zTH$*VH|8S|u8ZzHri012;L5j43aNbV&xsU-u0QTBG`faWtRd@JJ%rM@s{Cz>8QB;H z0-7mIgKn(X`&xU4-rWH!*1c|jjZ=gNRxbRn!2@IF!}kN$Cymj)@bug=OR6WexZF?ve4a|XS3aiBfce`LL^7z6SxMz2 zD^EOy3HFy0{f{#g{VCxr5&;{Xwbr&kcrpCbnBN60g2EI+qbq#BT$c z0uOhmB)}$ohKEN-F~omp1w>6H?~b>~aN88}{`C-XOn|QXjg3q2`ZQiF$6A{aEhYkJ zLK?6`=Nh8i;72U-!$&f=ZO2v=U<;0u{>cftJ%m7XeW2&m9Bg$TvD|=saPLP^>5q3S z|KrV59&avf+LTH0bMS7mQ|aS)dM-{>x?s;Oiqx7zISzgFEvME z-38^y=%|W==`71h)9Fxu7&j2C6AKFrka}#r+MOuUKtMtM*abdb?cy>UB94_#f6Ts3 z2a;kihaguSWcLPAr0zMKZ{A$#?K@b>KA0!^#~}Z$ha{0OYi+YO4&4FqpO$Lw7R>}S zwY1qt86)sAUyUdO=(b18Bro_1#_tzWF`#fYdq4Xn6G)M%zWBmXOA*@#Hs77}?=!28C&m&II6hR1XOe|N6dwrzB;yaUbU?6=h1u+P0?<9dR&LpvDwH&6Z$ zNYVzsd%FG8ar#Ay07hY5%f8mO^GUxuAh#NKt!>l|lMqA_1Vb&!FC(j}h$ND+gY+(Y zv#6|v-5N#r6SwDuRSLJQ9%I)COtH#s@_Nw-V0Jc%dLExz=3;JpdPVjpNxf;Mp`0fO z^c-zGbF~9mL6V0+It<-b^!drG+Yq?;08HPBL!Y}-SNN!DH{z`J3;vCe7C>bIEDR)b zwLV?fjd8~YP1YK6JN7lUY}bi|!N&%Lok-|@JJh}ihR(HQxq!>G2yL}2Yu=FWgWT*C zaeW$nodPVuGP_WGzqi=jXf~;4%Hle2FE!_Vx!@=VFBv4(-oQ{=*PiCKihK(se$5ad z(DCf;7s#xlF=2KFdW4iePF>Utu=mHsRm+9UyUbZ%%sUQ$vzjhiB(&>e{G(-AVgfv{ z#{05yshX*F{%4L;Hk#K?VgBr*=i&YY=T6nyM{>huAW7amew_5Qy1P0~L+))0K%6UW zJg^8M1J^~63eFadmeej&`+vo)APfOrH&w-s0=Y2oU-Va&j`;8BS zFDk2QZ)UGI)6-ifq2lO*Z@l-@3%~%%#<>;>o_^%wm?LqSHq66~E8+e0_5UL8EyJR0 zyZ6yY1Ytx3K|w?T6&OGX=`J5Zx{(g0hA!!lP*f1mp&7axVdxSRl}5UU?v5dbf&Vqe z^Z&(u_xpa?pY}KAIEH)f`-*j)>pai3?o&V_bU`Wr5FJbM+K8Lw2p1UR=lOhHgqInY zm9BO2qdH`L0B0iTJ3=eFL^ooV_tLesh+^o^#_YfB&+IGyNHTDHiu`RTA@M;L^YOje zCN|=SMNf*>Q{5;!Mm!B)0YSwlNcFW8+*x zBgiwm5rnf%0x;~u*bn{eg*-Hse~{+m>wqVi9yK;;44?nz-lO)ChiLZ1pv|4Ltk_&n>8VIn zkn%@jX=+mT>1+G?8qH#kR|)Z8cx#eNzAaO@bR|;C80B+N4$>^DTaPf2g3fV*)8*e# zyWQf+v&BAx6%(#{&RGJTkg^V}K$+KO{SbmFf%3U&(AnW^_*{yGOFBDT6jawGj^kgT%_S*&Egc zCcBH>-H)F<7h6O)uYri!y~VMAN9n>SH)rj*?-9~s9&oek>zT|IO4rxQ(>Ih8_&P}k zS003&<~8)D%aC%|LxU7ItEumY`Wg8)?Hb1pcI}_!hFg=?q+nK!&aAqEEPL+FjzfsJ zi=Iz+FpmJDDtVUf=d?(Zu4fO|x^0FI+dc3XbS}$UTmuJ7VEw@BY!ooQ_b zI^4=K#wJ?-4;qiK0f{;_X+>u6*PrLdG^Gic8PeINOe_NnSd#KzsPS1J)3dS8;r~ny zxrpZU9;_ISq{j0eotV{dcdUbiUU0eUU5fhbw{TKoTC2-y9+U2~?*ymif6%)GWJXf- z&qdAy0Uy%_?=;lq@yz}$-cHuwNM!;2>L53RS#r= zE1F5iJqL(5G;$cT9^uoGEqUF-PqVriouyHKv0Cl;=%C@C9wBtkr?7&=na*cVm3gS7 zo_N*FL>H-CE?J-T0qWlU@h^Iw=?Jo*xG{twQF9 zL$Bm*<3nLMi2dw`_EVz733-n^0l^_bG$5`y9 zpRypy*T_DJ9ecBzW^Wxpe$XvzWRqB-CarxYwIE_9G(Z=6^bL^3W29<>A0u8kGzAbC z3Lko02v^GIzKePawmi4Py;x`M+;MQGx=VWmQsr4_*D@Q5oijmTHO)fwB;1D#++I4h z4R!BALU1M?db#d#^Xu($=xu=uK}v9eVopto4};<}z8hRZ=cxV!w|)k&&2dYJ-3JLr zdl@m_Gn)+DHii*T1o{{)h7!hz5hEm11_4kjD5uO615wQse}Bdkpj%qqyE= zN|Ry-3HA+wi9R3knyaV_YBy>G=cCZZVx0nwcuxRCP!bv7PJYo7{$%ZeQT^xR{N7MK zi6w=(tP7;H2z3j{!e<0JX>V*o+;>qJ)e4C(PKsKaRlP`*c?&!`bkP7m;(W&AaPRT7 z6}qF|V$<5IZ(bSyd1i*7zh))nAJBGO&EurKe>&Z9;3blW!m!G+?9zr3a$`!xzuK+? zrc6z>^U<}lJu-5^a!7msvf5jpBJcwBbb=Xs1fPhDHRMVv>`X^211r7qc zL5QgDVMy{=pcV$AN4+RsjGmpKv#z)6faa5t3|a8LTnjIuGQ^1CWI07!&@m>-)54^$FH(BgNXT@7dm>pjznh7Q$)$j64#b-y2zODtmk5)TUQnPL0bK> zwO;$k@UUg@O{d37E~3vyy!@>i+c}H6PHdGb-CpIx_>P>qeZp7*P|f?yms_I(n; zmkE%1WR$blLAb6>OzDjm-~SAY#w~yJG4>0H@Ydj5pHp4a^x7YK+77=Jwr$M!{$vOY z%?NTxU&FjeUor(t#8Y9UHHQzdKnfp`zR&&u4nC^oSB8J-|0Zmy7aZf8zzO@J0A``x*747V`!&hW(nke1l;MoA# z58cXHWh1te*6(Dy$7{!BLFVCR{q|QHt^3_Q_;2^>wwj680SYY#nAYM;tcXXcpe-u~ zq$3g2MoS=OlTTKO5;&LID+=Tgksn$`%yoQT_`>lu{R6f z4)~_K&-nVwcy!;Jps&5r18M#sg&4%~8jg)UkJOH3c+2H)CyfXGCgA8jKv=Hvfm|o0 zoOtjPW0WkJZ{cy#nu^5kRp<12@}%A-BLTU;^yl{)IB0=<^MYxLf7J3W2pX#wFA_3V z4TBTw;ciZG_=2Wy8%y>u$RF(My$&vSLX#JPBBSW&25$OhXF;xd_Cm-Y)0tCeZuEy- zEvi=!+%PwX!ReNyKI9Gi)|ygXEy$x+F8ctdxVGTS2g|DYDN^Nqp(r<~fPY=V9-uZo zc)gk#@9U)O^IzN@SV9K7MxEL7%1a&S@Kh-z0y(YH zGH?MW06+pdFDG8hBDs(;%(b<#~&f z$cKU0;)dDuJF`9tQW-JBrNpA=W+6~SL<6tOQqP{pmg(WvG!y(?W{nL=i`r}qxuLmp zQQeN5p4-H8=MIOq6YG!cN*89XFPMsz@)qw;8KiTp!kuM+?< zQw4$Jh+cm(JYp(#p2EkG5ll;_Xw@t>Qm|ximiZo`=R=ymSe9I>_uSu62y0u*3Hku& zs>XF70`8)v`)ObFrnE02-Sku>a(p_P5gjhkWsN%8@s5Xu)eG_HcB9i?_Nu7>J}4bD z5TvqRUTwMJ1QWm{bF=P}=o!dWq_Cew;NwQ0+w{IGcZVd^+c?*dzmQemXd$6Izo%xINDSM1DgAw?pQ-bS!Sg5!C3Aqk9>l5Zo4mXx#Y<2g z?*f3(eh25mSTaYI-xxTWo$w#DorVc-Ff$(t9xtWaW+%FWos>CVHH&#rCS&3FD?6|M1nNk041A zTpR>xO5!ZEEdBh2OW(H-L}%=b#FNniw7^lDuaF7Y<$Sh*vq^4PoYy<1k*nSAo?H)RD(~Z zbj&V4pfV$RGCc$p6A>;^F(;o9WB1tS(R7#IIpfgJ-;PpIJtbWQ7E0Ps)mz_4fIyw|~-cNEc!8Snc~-y>aH&jl0y37>D6A~yN2%rGRIhZ3?~8^BQxjMxaUeJ-Dn`VSI44m|&dwVAm|b_yaiB=Hkq=9E{!jCM1>!)Up^gJYenKe=EycpTXCC>)9o4Y>QvXMeS!+tosM5tZiwc82a zsj2^1$sJOzB(nV_l6!sWQJk=w-3s8l|S4_p6Cr- zzNq4!7o2t%KqR!7bb7wr%UIsZl#qc~uxMM?iRDKa1#_M=8OLgp9HrA?nUOZ+#_~D2 zXq0^;mTR;w(l_bK4+G{R?sW3_?Cz(TQCd4p;-$0ZM&BkHMvlr|4Z2>az)&C+^QeAY zwWcs^e)V=P_AYGw!?}0Fe>NVu@{4Wy*(PJCnMmxttM9B%r4ZDl()^1}?hdW+c6ZLh z3$r+{2|ayB_bXw5N(iAqSKb0+B>Q}Ql-Gs4Avd>`V&Mdsft7862*P53!3!x#4|+IK zq|x+-n<}0^92`mPI3}x~)ORbe-#o!KdS$5C$a2_jq9)T2RM@Shxewty01sz##K>vo z$kZPn;t1cYaoW&SSj@_Z*16OjoI!18@Zs~;%BLERv!+`BO=pgu(i5~tPq-n4RGUBB zoc$Un?{Qi;L9S7uHyTU-4jG^{ki}fI9oNXEANbvF4kb)a*fkcZ+KV$2sfr}9 zAp0%@$a*oZLlBZ~B}pL8OEqC<>CR%^@Wk{u)2w0RFJUi80792(&jrKLp;83cY{n>P zZD_Ah+hXJ?AW{di_87l=f(or&MuSp6LA++rG$u_SDuejcoHL`vNXjwS>{)k!MK1c&&*^P3sBDc23;IeS0%yC1i z)FZ1DVY9Z#HD-_ESvyo6b@2G>rxH0ei+Yz*T&sZlhuaBc#VY6E{p{4As{RBb`fY%} z7A^)h`zB+20SU@+{T;@Q1xF$9+E_=GP+gvF;$)RS0Vnf=qZ{-38os0B{t{+5b@;xY z6UeQ}73eq4rRFt&+Yi17J&}y|i+q(hCNjx=w2UDLuc30Wy@F6k785N8NP$W-$#@ck z%Etx(IXA66>}~|MiAeMpVvup^=WCi#-jRC}_CjUeeId?5N--;s9gNId8vgV9=hx5c zyk51+FO0^y_cRbH=S)(Cz6==EH&>m#UG_TzDK>VBF|JoprcLO*xy|)r8@B2K%hVXh zN_)$!+exZKL{V#izb0>!u0wL(*30LIVL!{jBVD)KKVSJRoBOZOe{y%o{lvI-P`ddI z;IV9}XDs{2RemvCwEDf2Ef)dm2_<}VdmQlfuI#J`t_HFk5ujs6*`JpKsFWd6!s`-| z<~|6EqBw-r^Tr+4eamC+{qh_4LZM52?n0pal$*KYk;D=dq%Is8$QWa7u~T{#8CY_n z$3k4LPMP_UYKYLJW3R8=Rl~hvLJmVNz20_>EKeku*3;6`tDKL1ZUadli%VRQllq&%{(a$@i4{zd82vkYAYl`AX1dx5^N$1Tz2s@1)t74JVr*tgJ~oa}E67?%f? zYMh@rFn2aig`5`@yk_6=uYqXK4_)Jf_VZ>RSppdC>Z(faW3Y@ayo$&;2oD=&k6Iy} z`y+)*tm4m{V*5QIP7gs6Y(`$LoQa$N(3(fwefcgJ^XM#W(Ts0$l(12c>R2Y$^DjY7 z8n6Zi2A@U(Q5CnP$mplg@mu)q^Nve|Epd{uI)X0@m+kW{Sdb;MEN_xrf+jTY%L;azmE!D00~ zmH0gl5zK%Ur5LygjMiWyL^HBEZ9H20RF(fe|_tDZ^0VLvtqyaXY>B|Rq$UQz<&p4qzR|{ z_$QA2>xWg*#2INcomKw>A4?<-6L_4wCi#CI3fyh^=iLD#mlq%MpIEO%fRUzsR>tPf z9Q`w>|LXxYu7Q!$9MHe|ANa)PaT7u-{`8M_@L$L0zu$jK9&V-QEu{Si)+^?4FbO+{ zS7`ocr1;-At@#Ly)_>WEzgOV@{vz149yoUFTlnz5p8Y@nmcxqke&tm&{|DBq|BsjN z|F4(qyZJ{@zJEqwX&7HuSJ!5``QC<28r%^!7i1;PbF_U@TzrE~|qi=cd(e@_K!B<1d2&iA|}o z`|sY=BFg*P#-2Z#+{oC(qD&m3~Ki$heD&y}F|9_Yg2^cP@0r&X7y(n3Z6)vdN z95IXh`xPU1w?|vo;hzzRxQa((Q{s=~E({RaNuF&r&sU=xHkhFx0gnL?{I-Gfy^_AHH==sTL{`_r~D|o;NnYs?d4;+db0d*-F@3|sa{?&74bj>z5fjOwiRP{Rz-mMRxKt)zx_f&ySSzcHZuzjdLH_Q5D3sqUimap?d znef}7Tfo28Cmnj-B)_O8@2B4icoy4__g5`&mad~WaJ*kblJX7=fX!Wjw12Rw|KDWV z!#3#sA*~@0JCzbU*dFp(JIUO{e@njw=*f{F2t{3l!XDMRP7%JTaq_6v&0g-2zD zA5-($`pin6Tdlpn@+zbmUksEk?lpYIwdOkyT`HQS0+e^1EX{(wA4V@gj?zz+vdZG0b3f)wa4TvC#VAH*GJ2LM-p8;SWb=%hRkb%B~`QYH`@g`_in*fn8ebZY?ih zU9@S$qRTvX7v@cct@?9-x$yT$uj4R**LxPdIMJA-| z8yGwc%#5b9%H@^OYyZ9(%l~W^HAe*I81Ue9KKsae?jzp>fmuyGq`Rb0%W;h-O}}+y zA)f;cjo^~kph~v`H%ay@rAc3m?HC}*Y`=z5PX@V>Xcii4CdHq=6GiX4cv%nH=*=~J zZm@QdYJNXaJEG--8K&GIy}K<&9ab)9JRRzpfL4Qd9;f_>w=hQ^D%E#*7S;6}7ouzu zJ=uJetfC%$+!s2W3hZlc67xA8zAU_E45+9uMPL!p(lLvA3cr2x*96i#;e`(0k&z4d zxq!(C{Xsd%&l&@ezQzGwu;ta|TUI!N*^{3|{X5vl-$Symb&GoLl>p@gtVw zNk9z1lKoDrVb^?yiVSRfQY0&8-rmy%<%U0CU#L0fnTnC$TIO2e^;nV?d5r$wnto9R z>)W8SW4ATj|2*O7*7WDQg??pyZ!y4dqqv^kgzVi!HTofj$&+0thKzKu^==7cbzfHW z&ngIZ3++;cv&P@r@(bE4zSH7wQXKZ%`N&(hRad@NnxA=$miMk_rUy1tZ@e-pZxhn+ zvqZ(D?JPDs9ZO=$?j8Ifw%it`Y2$}JQ0pYIq1v<2#mX_h{G=uPS9Ym*MOj1&aa=7F zmj^X6FKU>7z>s)ue@h+-s&+0M!B)i2QqJ=TuQ#=9)TI`62~{_UyZv~o>~L7j(SUsR z5Q3t*p<=jSk9gWu4tnB|dB? z6HSRp8OiXlPR-Jk((EuWEPqb#nWEg0O;CAuSJ3RBYz_3!x8;ip z1Bpan%q+%0S22GOuipoq%RBx&J9DA4Txg#fdUKBlpJqZ?2tuegeyQ^&zus(8R85xw zqNAkc#;I#M+vF@J`i4-!po0q7$|<)X3JF;MiQPf_iF@Ypopz_q3mp2TMuyKGS~#ak zLOJzKJ3|&n#}}3d=Q`f8+rcXQ8jh^TT+1E#($0D}b%ZJ73g}h%{M{_NKcam0K6dI? z4QC0$C&@3j$ucufr|>`)*$qwmsMwHp`y`Y5_NZjzMjgl4!fQVQkfrw|@yK4kcoFm> zd7^K?ykT?lU^hDU8gHSZvs6>fE5`T$a>|v-I|p#&N0|^spFDWyS?Odns)fz`p6&N5 zl5gPfpsyY`P~Tx67aW2DTVXfl@P3{puU<8?S4Tra*(?EEk!Z9xI@fY~~Y!4cp zOFMNr2h2M#}w-OLnIC2<$JIZ=?M)_`a2m1J*YencgxHJMRls zbR(W%s;P&>tRhN@5nrbT^NUQ|W2(psKkPHw6J5Q-dGwJz$-!Z|!&8|^dvj2m@3~u} zU_vxe!%3A=^*Cj$_jIfe+nr?*Rg$5#qW8J`BVpS^pU7I|#}=hrCf63SoV*{IzV z3r`5LeW_617PJCZOu`e(7>p(rO8k<%EttA5gg zIc0{rvw743>j)ZjQE+F1Ep{eY+?5X9!tW;+YUgpZ-T+SRav*B7gT-`9dAM-V6;wM` z00%~eP-^<4%cJ4)x=8Y{cG(gR+cD5{P&_FPg)4snp)Cm>jm$Rk-hPBDwp|A%ipnT0 z-PS=PKc6vRDBPtS=`K#NUS+EoZYDkeO^-Z?iCvVtU-$l~bp(#7&IBcWe&k*+s=fGf7CnjzQfSn19dabE-Sa9aGM>l+H=J!a& z-&u)@2~ImD2%_Sm5d5wCg_L?(t18z0YYx%*&bpcg@t%6wUpEYgsdu5(oAT+R$CK3+ zphKbn$%ju*Ulmjh_~teMcv(CKnB#@}63XSO>Cz(r{MrJS;zv-5URmvVTEve5h7#Gna&aykuapjpMOi+dcKoW2KOyJz*I;P*Y=AkM$bxt(z(9 z7M-5DdcdCNe0ITY*;MgdQ;Lx|gxE`1@pNM&L1YASEn8rB>0Q_6jxqy-{s`${YM83` zdHjNLH}~r8z;}c18_$)A+m#d>S?}Td^^!%p8b3QwXiDkMYiKQi>me#EmFkH%lWrc+ z?Bzc}82b!78uVGJtayz5r0LziDO?}2?~5{pE7mz<&5u9;SjP^&&!o`F`*A>DWvLk= zfpyEuD?ady923`gp!W8cV0P_}$|4hKbK}Z2R%=Xgfg z-$^Jsbw9^6K8|20ODESSm;k;LV<6MVQAwZ1^Pphai8i1jXNPHpQQ#2guDtu=!(bx* z%OeE7Dpx+W%c%Vp&e#OPs3#N2-?p5a%3Js9rxrEgd+{pmd=`04X+bVd@e-s9sWq%d zC|EhHqP2^jTO8pRDcg&4o=(nX%*ZX#`%i%0HL%_bmxSUJM1k-hXt?YQ5vUkRTsPY#x5QzR7&-04cwJ=mDII}uzO+iaC~^7?Mr7TN_u%;Bumd%CZ9 zY##i>6ldw5g=L$g`pS<>6ey`Ym6r@sM9ua@9zRZTi=32gST+?mfXr%Ao*fM~zXD|u zO+FY3zp5p5(EsW5Y>GC^jGaeaxMXWt#gW-f{bvojqSMO2qV4a$*Gc zlb=Jr?dwU6o_WT+WD9%$wINBo9`ww2YRmV;Dbd|ANDH)q$&Bmz_Jof!`lj$e+(m4! z&#Xl)mLRxl(=wZE+St{Asv=`;cY&a5+_Ij;#b^7=mCv?;ll7&6k31)mP!og4`K**J z{1VHNn9Cge4Q=!>bM`OVvh5|%_FhLa%S_|LoeRE`#>82IeKiK^gZ=Fzlx)o&qpx;X z3!ED%S0C7XEUZF}-+5Xt`Wk&;&0&&2>2G;ElG5V)hj(8SYc311kwe&Xh$eTt$Gpa8 z7TbR(s8fJF0(IrM9Of^)Ym8(}Yaf!)6Jx+q<=mE4zmKF!6wjr+lmd}bjHCkZ?NYUy8B!ic7Erj7xAWH3uW|kUDIdG>JAEo$ka;PKNoukgg;*3TXGHc#kV2gTB~$ z`Q2CK)|gky1T96>{sGE*-@akme5DZ?N%2YWu!)sQY{)lA=|$WP&QEIAVHMH0#wz$t zrxl_nZM)yd&F8f`!4Bo*Ke>?;T?SGIvfHAEq3Ad(NKP`_tpoUuK71U?M6;{|H!J@S zimO|&rY4-4J9>bX^;YZvMwX2v>SyA~=fZrp64NczL(Vg}_b25yP|vS9yyciqV$v&1 zOit!;WiVA2ozt)v?aQlW$~$SfsLP!Ch`jCYQrcCr6_0VCBCn&z?3FEUhdm6wygw=9 znS5dFp+EAiVL(rcxCD;^%r;uLjX+#%f4E*yS`gfYVD1K14 zw|izi*R~eMstbR0e7Mikl~%)Ld6Dhpt2xJE@39Mw`91X5u&crDN!n}$qp=q;Q6|d{ z&hhauqOc)P?4GSDj0>aWqlxF|g9<3(^$$5Kke6VV%t+EXs~+4fAdovP?~U5h&#KxV zV;YOnGlZNmoWu|>ET2vG*uN47MQ0-;(!LY4sEKy*L`%|I0>0!bKK-xdI;gCywAI`2 zj8V8lY@a@=uA9qs{O!G~w<_7rjqTRzhs$;|h~Do|>hs!Fr3C9?Rjv08V(eAhTBJX#(`ec)b$Uw$r;Q1>$ z-3RTlpT7_%mkLp#qXwpw@{Oph!wc9 zx`5GW=CORlvT}s%_dMAL5NXZJY)WM3<5WrF^~G@QI7+WL!?@aH;c~#O>Lw?z5kKh3 z0c(1>c_M@v5|V!Zs`pL0AM=EjbF%O52R40?p@i|ZUhQ}$jYa#<{2cMm;O2EEA-d5Q zckF=Jyd z8ZQWs7NL<>D|&ZkcEO<02PyHWaTobXbtO?Au4Ww!t-8KwDh&l{~{LIQoR0hT5MgwlB>$d;~i{M0U#{F+u^ALs4dpm&mN5-?$0)m|av z=0uEiL=dkewDA0V)Vf{${@^9<(0c_X0TvBB!usg)3zOvTgLMhw-D+LPqQH##?_EgC zH}HEGi{059V#4H$wGbTv$MJ#WRkAOj>yoI}y^J7RXrjx9MMm3uu*SAr4q8xwlXPTa zuv(wGD0WOb}KvxQ|Mbs zOmhp|Xm7n*92Bo>IVB9))^jFrv*5_-5thVLJ@bfBG4Nt;0oK5UT0hX&d9uypY*gG1 zKqp!YqmY$1(4_C2kMcx)P7cC&Qp-?xK{}e2eR~}f;#P6NUgjTk+nM38(=ja@7kgDcgS_54bZIc7WKz6$X+QC}3N1dcySf>Z zYoCMfY3tYv{1{0c?(!;292&i<-3^p8hf3Ya#c^wxayJjGcm8(Or}`&Z!hLC6RC!o} zgq0W~{razVs1D$qp=}eH-5-^9`%>1_6()>`mtXdwmNxh zU(qgA_f1h(i!99Te2nz&-e^L=9&gKL)$HX>(E=3QlW_IM?`W2D0k8bvdC`TH$X_SC zE@R1RQEgVa?+!uqvXD{PH`2SQCMwR|2c)!SzS1{dOJ-{}kFe|Yso=d%*`gQrMnA7e zQOlB)G2yd*StLsyd^Wi}9uhoqWr2 zG0}D%^If&linJTq%_O{Gj& zk@>aHIPQ>bBWDqc;?~NceZGO6-D|I-C$|1OPzChe25(mLeE#7DyB@LF_lHc>im5gxF)P=2Et^ z8y#|`^Zw@j$zG?Nzhdb_`SE;HO5RT@H{vEdPNu;*yKXVFcLbt};c_whp5T z_;PznJ3kB6B?^%zIstgRaYKDZ`bu70l&hr#K_l}YSP*N+@?&{dvqifZ{(=ZWAc0Eo z%n=M-TgS7HN&)9!u7k+clftiIL5)f!15DZO4O_#?#flI{=m%gl+G~YL`WNR?X-UBr zTj#QPJTkFR$z$L{OT3)tQhnS3p4hzi1tZ!j_X=@!YJ9-(aKY41Y`}w7kj)L zryf{-;91&C&i8Go1#}g*?{Rou4Dy^=n&yp|!s@A7;i{M=oP430*>d0H?I_zA%w8K} zbueN-Ma93wK}_^ge~Z6IAC}~|%BpE7er6@?YMpbyLr8;& zu>Yv1uU^v?Ir5Y$e_BuHF=-`d;h=#A>MuvugIk7n-ckPcFPQH;lGvR|`1$D4h@F#v z8M40-x1@i}|Aj;5L-N z$TzyqBY0eKL|&lEN;f3h(I{b%@Zdl_p2n`qL^?KyJ%D1PFf)!#qn$EBE|%P-cd31_ z=F()hTM?RQBbm?l#GUw}vgv3))ebWW%q?1t6!OHhw=kmho3~m14Zm-bBgy)ugsJA{ zrg;j!EkZA!h=?bu%}^%D5H!QOsZfQbZLFuT$#mpk0Q+^n{v6dNz0}2(Gf%?D`HEgM zt=>jrscA_VZ}yyh{Ux7k-ZHT6W~ribtTltkK&=`c$$B_bUsl7&52@vfeZz_#^?-}@ z7-Vq#B;jZx@&SbqVx&bHelQf_5ReFJ<+2FKdL#SA>PMV~cI0eqyABdWvVf)(uEOWb%TjzcSVTYc#I8=s7i>2u+7XDRZ{z8Hm*XD?%@Na6IGVUUQH-cC2^vb210wu#K z1fM%&AAD{Aw$o5fNsrO|AK2N?r8WlZKw4U9c$oV&=pi;C4~*gyja3pP4@!B7 z%BZc+cp(sZM=qFlAD$H9-SSe37lP~Ru-$$^6Zt&+LfMx?y_=B<8GF4f1a<+RFJP2D z5?>4$fGC}sS@&P~Owc`$Y~-`A*)88(1gcx{?Xy9V=Hyxc{x?FdZ^yUY( z(xK0nwFucKCnRC#<3bJR}()jys=h2}0Y z-sT1?0mzC|o>4Hn28br8q4Va~FfE3DTTO&57uZL50z^KZAh<1>8m_*m=qa; zK6N0Uy9FRsR@7c2Xqj9GF^s!+xxqeTBo(Vbte6E;t_1RRKYR5YxgJp4o#j}$vp}bi zTxd#E+>ewCX>?WNxHHa|I)A=u^pkDDkIqYOtNq=S>`9A3LELXyYnr=kPrugivCVey z@{Q)qyRxzx^5UyC+U57{(%&}G)BlLsHP1H4-7$|zk1wj+7#fNnpLr{$_>S)zj9f0E zKFH#~G2bPP7rxJUlwvHgUD`(yFVTlpVl3!+;$A&vXe;k+wRxt2@*ON) zu*~7h<2)i97l&r3SBoa;-i5;NC6tgy16LS?_C{;^I@h z_YuKkmFbsZ66x4msBWZZaa6z7qHKp;_$tVktuwmMqP!Kup%Zr}QP8iHcTjluZ6apu zEtcGV=Rxd}xFJYoKk(|9gVS`e4=?2>$6 zdmPATU!g;Bqfot=()u)O5@WqG@nJH7lY5W69ZhT@P}b&YbBxpu^m4smyPyGa{0U7! z7-R?oo|Z4X5Q3kU4u1x+?~^nN@KFvRK8-xug??*SVqU;6J?K3Iu7%OaXRdWNsd8wB zT(r!+0a<~bEBfujg@q<HFE1jFRm^KmZcF> z3QVWe7Hf7Y(Ptc%&jtAKFrTzN`39^bW4CpTd#$3rrt%EaddywnsIvFuHqt+mmuF+9 zx9KdfNJXaAWn&*QGThgoU5{BJ9$*Lxf0$DwI_y22f{bGna)Z6|~JT2SwyB`Qs2uJgXV~xcM|SvD}@HH4(39<(@2k zgUUcm*}v^H+{$Fr=4q!O=i_zR=fT%g3$ayg_fBYZ$g1TZi$@Ha6tf4~#uWwHuH}6z z7u;l!zQoSlgRp&T2JZW%0ZXu2RcJ#%qG^ssN9kV>v0Yoq0ege*r5H9g`W4?-wC z+&J4z*JjI=*k%Tss2I@nl6%#*>B+tlcMsd?>KYnqqn)O6B36!MQX_yf+I`p2sM0=zr#@#~%?EkA26U8Mzlvo!mysjvqlaNAQ3y`CpF z6lUMrDW94W6EQBmr)R1PSF`pgf0Q$<8~>&b)o&Wo*ciimva2LtE!!#-_XZ(4wn8aj zlDdePfT9-Q2`RvpA45bMW6(vpxqTk`x6Lu1zU|EbJSjh;Pg1-X(Ei^2KcTp8=Ph_~6snzOCe9*B7KQUWkBd31 z-1|`j%qSv>DcY1k1pWfsnwV;|i24K=7i;nbx!Ntz`4~OuJ}GV7l6RqE2(6+f)1@l%xF-k4VTV(axxm$&FjQ&FdUT zV^{9EOMOAJJ7?~Mtk9(F#Qfr)Kk-Xk<(lA1r}V@?lsxJ}2KWVUPZtR3@p!cwnLmc| ztbK68T+WInBCOPzilgeh{F(QcuLL;g=~GbE|IB|WktMm1UP#IH+kb0uX?o?#cBE7* zD}M3=MkdA~C^NpwoXxpZEf>N>g|O%vesx#crah~TIvG;Elh4@u<)^RAMZI+8Fx{;- zITRP-YZq@#lrI)z*vDsl{E%~o@0zsj>-T#XSa~0?q#B83H>@hp$oI)ORsx#>vULoX z^QBbFXL= zJ8kzS_~PXceq6F51AVLBpv#i69lmE6)EMX*f+|@`N}l}DB&rmMVU>O_&9)z2My?Ve!1pyQbPv(!quf zPhqxZU1zSuu}+Bp94)vPB%f1*r&V_ccbCBD%Yt)cI7R;1mEOg6y;Ic~{wk`cDxZvU zE)94p<279jV8Tc(gW#QT3nwD#QY!gun^u0{<(@SopYD>9QqHum*QKA-wa*emKv zQb~#K>Ugx149GJlf1;#ft}PO>m-<6)i7)xQH>(G2t6P#>jbqNSB}tn+>yG5D7KdGO zrLOu?JT}!*F(bBH&~0g9arIBVgv3+eV^px|Q{nt+nabhupL**R)k4J?sa8axB+vwU z1Zdz2;}xVrK})}y$faw<`So~#@J-h5K=4vg^AI~baR%sQh-=0Mw5X>Z>ZR|XWI8mb z|@gb3d$Q+>j&Uzf?JujeQaAn%NOi+_GT)k2##yJrpj>`4%1{Sz) zIx1U>m{kG50we!YZN3Qc@u7Njqr6|-n_cy0<}Cs9;ZyYN{+T(-;OH^U4?lHfmErvM z(h7yjR6b<)b>$aTo3X1lAyIy?#6*>kl!*n9P{5WLl-~^#XchyNS$og7{_aMBQ#%IT zI~l*ep2l8$pY^clIz^}Nu$3sE;QA+QV)YMk9}8Y#ojc&Xu z-v|@gdAti{{G(ISIwXU>_e*2{8fu-Xp6z!Vgl7sFJ!bq za+dU1CyXemVTY*Ju5)00uzav&bz=K|wn^2ulyga+N}^Yda_m%n&PU4pVz&3^Xr|yq zfj~C(Zj}$RJ7f8w)u`G9v8*`KkR*FSXJv5E+9)O5d}oH zg$e?T6cCgK1ErB}5SECP(%qs6f|3#f(p}OGDoCeDgCbo@H+M|Jz0Wy&pL_q@f9J>M zSt@(YIluXRBi`|jceq{X__VFVM3rfY%sVyZw+R6`PwGzAIk2J;g5A7`HmoLT8j?%pg!wowT zKEcxK=|6x;3!w<~Fr!y#>QQX80*jV{(5Nhd<7BNtp>F+?8X; z7LOJ4z3#=wClQkl_!24{i(lKNkCFq1^g%>r4%Ny(mlM;5GS-Nh*Piy zCQlf}%dZliWW)oWL4Hn-wJRCS;~w1SFpAV8vePmEI4#O~t1!Vka#h zWB8%rxQ6M4&CQ;Jb+y*dD8R$swzbL3Ojg{p%<~Y5>mC*i$xn~aI^DCFDFl}roY0TQBuT_nS*}e4WZHahH(3_by4%`ee%3bQ-l$Bs5g^ zu-{6owcQGTCA|QAu4N9|_ozfR^*2VM9B+a-ygQ7$H}FL>FI855etn7Wf^$w7M=iSD zuZ@bxtPNLoBPUq4T*9?l&+bcpu08d16K6=TN;utIJ;yjm!_9`Q%9gkC2#2zN;{Jqi zRrmmNEx4OF9(I9=^W`#L0^bTy{K;7u^j9VwF3>XFDRr_f=A&PlJ}iN4i{0~0fNzJb zFwyEghg)uNyQr~AgZ*5&@U6CsSo$80>k|o=U*0OE)kQ0~_TE<~(_girNppIhVe;q; zi;f7tC`p=$PFx>MKH&S77jbuHgVv=FCIt+}mkpk?cphD{?hrj!&T;7(@!3Dn9lk}( z_Ezjr6)O%?{$t@}E4W4Jp4~X;e5z(!88$ks47-fnM@yOKd*Q&1r{YOgH!pWk?g6wd zNZ(A_@$Y-G-Z_LWc?88hHv|*;GLYdqCa&B>)iA|oNFVi?<3X3BHCW)Ze$eGglT;DC zblZ;N>2-WHj>_ZVWF`#kahj>l(%NxvX^bL4zhs>4LlSS#A!A_Z#(P#9(z-Zv*h7zP zumi)Gitt(eOX5&R9@7A|4Zbw$+*>V3GcsqdA$u_pXxj(y@Y?CnrhYk|buR=TJ`-QS z$LqadkbQ>)>6myaqmQlqK)>LH7i8Pw+3@5x<~a1r14hwX~sO z)&8Hkv9R$kV3=XRl>2r4(wFB2_(iVKy|;oeEjWKp`N|(hdx{wzhO)c~zWl*8)UVR+ zNu(Io3gkStDm>jbcZYw0770E%v8Z*zR>+Iv#Ax-9Cw0NT97o=5HCvah|46wm+t4M=E|n1MpWV zGwB}x9udin(*T4kTy`83EKi+exFqquyV-KJxbe6YVE zXrwr-HYP@0`@Xrpm(G22dcvmt-i1#m0A*&RKX`|`f<)qS4}`U&+5AP+6!GweFRH3f zT%>9+WI=jq9xc6?Gk#D%-{1J7wKbiDgxTl`>+L>H`X9IW=kM&Vo;(6ie7Q=A z`hRG(>xGoZkca2~F5hr(W&UOrkV}AiGjw?sU5=^v=bPNW0g{J2aAJ-0M8yBPXn+5` za%bUJ<-h8Zo%+8&m=PkGKQsLt|KB(F?>idW=`KEIO`p85Gkolp?OdrBid^Ul`kwa- zrl3d~kFJ+4r(SL|Dd9z*dU+rFQVpRYV@oP|jZNVT5rxI|yc@hnuyIKQv9NK4X$75G&5ON>FF9l3;8FeK4{3939QRxK z!-4(Z92(=m?y>)laMZgt_%f4@~hswc2U zo~l_u0srTPghhHsK_z%FmHyxF50Avdk%A5DzpNwjg(u*;Zwko8F8TX>9jgHMTmzl6VkZkLZJJd(@CpZxy&)8e^nAY0=9%kq6tjSV``0{E|Y`@g09 z+dcWeo%pv~`+o=dZ;$l<$AkR8!~5q7{BQUD!|sbR9~Y@OaGF#pxXUxWdN6mRDf!A6 zR~H+mPN_Q^v!LoeCVVkdr-rz<&`j@+ZP>c8Lb6<~XaL>o^`lu&)lk>YZ84tlb@YYd zGQD|5y_?5OGd|v?`Bq zb?fyE9vLb#>|0`YP3IFa-v*y~|M}+s_LGY{;%3D^x&G~{{26G#_hD(Tu3WhEwwvbV@0r8v<& z5&oDc_LP8Jyi#y3`YWAMqL(qlt3(UKuFOiiq(COs&QfC#J>hiPwnro>(=4VsJJVFT zcwnAK+Wk*2vM_}%2a&He+yNhc`riiQbn(uk$L*ngWCm1U%@J8YbW{RX1dc-}kF*(q zLW)A8IsvzB&fXAD+M=S-SYf02bTUm$~`rEik`#89Q%41$LfvXrzmYAd}l%4FQ% zc{f#~J~o&0_h`28_6+Nq@4r!!p84=B~U+Sne!2JJXeQY4gzC zHoRnov`2-Fg#oc&-iPAg!hsfq1APod6M%h7%*Pq$25g?YO?66MQdIqer^&I-u<1TW zK)zXa^+9EFM!C*NS670*2|viR|Cj*(3C$x zZa{`4z+-=vDq)+PYSdNme7qv22k-LX67Jr_H zKR$$# z(P3>mas~x+2br~Y`4k022&BL78PX96M?xi%-yzjuV_9e%?XdryE*yj;RO0N{!fqTK z%Y*X)#{w^-0>+w61Lm5KkVG&)m{ju`EawJhMmJ>Xo6Q4HFnMc%5m)1k$;Owrm0Nh8 zj5`SgkI_+@5f*SQdCsXMe=E#pFKv!iFLw?~vove#>oP`1#d^Jl)z82;!G!t}jV`*yem2*Pco7 zqpwJCWV@Wwk zZyy|igQXHwz@P5TZ{{=^n8rB+Beu9uLTI@}EqLEV_G>k%Ju(+gr~1S}L8cyt)9H9o zuvjh-qgfNDD>JzQ&&Vscf^q19##jlb8_<28h3J%;#%K=~F7BB?7qCVoC$T=ZA6)Lh zOi_`DyMXR)4+!5G!faJz{;Q2K@ur@IS5d-$a2XrIrpQ6?baf7j(??x4abbfPAtDBd zz6KcONmn;`wN?wOBP&I$e2Qr*S1H65PregPm^7J$HL@CJmWjUk#zRpBC~QE3#W0SZYMx z*_md5^l9efecitWk}Kf6kN3VKI>2uZ&WH;g0bS+_BDe#39_o}g15Yf~dCqpfr{&ZQ z6kBw4MF%GezKi&p8|vzTsSmQih}8I;H6Xn#o+;#ZxEn>GriDzvlZPeAV>Z^!uK;g1 z11rgfiY~o=g#3=zqxP%}tm0}rm}u7xq;Vr;*p|g~*OlZO57hQ?FB{-41 znKNryP55e@+A`HtTz~8z16*0e{H+j{!c5Fv zBf^XO!YrEBSKeb?8=#T_hq5NpSHGSV5Ji+o&Tj<&&_E+zDH#`U>)ZqZ3EF=Gy2bL| z-FQ}1F#sk-T}!%DMo=R7`{te7*f&r@iytnbh{@GDc%KrGaT;_s%)+p5p2e0MTW(U7 zd^qm(f?MVCCztGEd|*nNZ5OBm8N%QJW~Dwj1iWs|NvDM#bfyj!Nc>KkTQwd>XSP{LZX1)N<5Y>mJu>&%uS>!9i`rc@d;{4U+`w`d${iJ4FRzBKUn{ABl}BRfhP{9 z6=OnAmj$L(wa_$AG1oI89c3!b^n&EhZ4jW>YU#|(OEoBdINiepBIZCW2@Bcl${4ao8p0S-w9+C- zZ}e#HtSfR^X(#75ud}oK?2wfT!EqxHpSsp^<#n0_Wgg;brQ@tYkY~*>POES4*xbAa zTZ`I?!EJwQ{kG*)YB;j-;#pukdOI^TO~9C#E=1C&u=Hbxw#A7R`^BL3ij4cY6(7t) zoi7i@YrejFD*Z-sOR2nmcWaDD@w80fSGmXBVPT^<>9PqvGd;QWTTIB@8|D1cWqkrL{^2cI4ptc<-D??WSNvA%kAxbu9VYa+N|D7EClfYjm4m(Zksrjh@#) z<;L#EYZ12Avw0zxUA}7AHKJU|V->WxWotA;J;GWZaD3H6e6q8&kZdEN=)PNbd5AdR zYDZnNeUtVZjC8-J1<`6}zKJGu1V~ z#K8{C+4}CqqIP%++(_E(mw(WAiC$9#_C}-9kQ|Mbykp>j%lgMW1~1Jydp_W5;`JQ} z0x8}MMIA||dZ%bCSJ|K!>CpM0DSU#j(c&g9jNN9Uz?D_*M$0G1Vw&nRTj>3>A$(?j zo?#k;Tl*nK0Du+zjyZxiDi!gJu0-1SmdNh^MLKipQOl ze+24-X`P^mJ9q$u39XRB@C$v!Uhh%L&bcvXklNhE2hOuXi{K|yNLFecA>_|ltK)~Jj{5p_)^NVEB8O*$xeu4 zP9&GmF@$D{Abw;UKLrX9P3Em>mcodm#JMRPZL;-*RNQ4u}NVz%43hw?3CL~RxwC8LX zA~_7rh8Nqz4a-mAaG#`=3?FA34!Dp^b&AOf8zuEMRe3nI+UM+)s1N$F<;!QA4y$uPSQOxa^*|7HtNpI3dSVvE^L6&6zM(W;1u=mW-Q>+!3B6&(X(>Wy}0|tjbU8*Ud%O7*Z2us`7)&AV~lZu$!7Y4!HW!iZCWXC1sd7rWVn77sWkWBMfu>|*VsU`JirUE!(wD{oBp^%K_^>V47Q*b zr2kSOLLT`3x=`U&lGD!iG7yWtV(w4GzRy0q^x+v;tFXFG`p3~)9@~yw#(fU~*08E{ zWLkk~8Qmy+_Tz$$A0#~swNb6 z1$0veRqI7NNg;3zhMD1w(mP?)j(;DIprC+w`-)&GOFi=)8q59db%bhR-^l2LpL%oo zA*b7c(Q#K7q-~PB-AG70>E0s7Qu;&kyPb|~;mx<2=78`MY%g!cv%I z`7zG{8LbA&WhaXxzaD+N*%*J>ByhbwV@{r*B}~%q@`4h>_?utZBRS#OXbsRILWI~I z;H(&isKem0W$^Dsq?rUczUKu75Nt=4dD`k64CkgeBlqf-i@;m+PG0jml7=*W0sZTZ zPH{ti1A6O=6T@s*ka0tO8Yet!IF1d2Y@05k^~I9H*5I}Q?yFBJfGN45&|Hs@_Jbs) zFTo>*$7xz+Z0Ha3WwmLjXW^D`jC;_>UbGNb>8VopmJ0Y|%)^uEp<7u5KU4C_gI18DrY}u)- zcgvAKUiX|qgr>$Fi%d1@&4c8S7ZTUGX@HFyEV{euge`B3 zY;rtH!eJy>r?<60!_t(E>&I_5&0Q^LtYwlC zoGV6eFtVeRmNfbbp6JX?c&pPcEL?p%NXT}$+GEdtuPR4T6CA7*Y%A)EtPfkFy6(fO zG%Zl~fHc!kwsTIVWDkXfMyakb%eHRfs71^S#p-yB?=*}WHLs*?q%QbiG1a5*shC4io1LLEN9b}1I^{`^S8`Dd_RL13ga1yu)|P2=6SgH!%nYWudP zn>h8@o~@}OAfaMRJyrj^?5|80HT@ihL>0bfuuGU~ULYR*0-dWc-qcEJ>f;tnc%N6{ zXs+=u<(vCxgv8%k7n+aiwUVB9+RWmc|9pvAForP~(*FYQb8o5pGqv4#zU4#w9>(ub z)NjAg$oz)%R)p?(gEh*RXL&f67hj8=^(AZ#-sOPc($jWSAGrqX7bGa;S~uM4 zUUUK=+!E8e>0X!9@hh3=W@B&SkfmHt%exyAG)h-@qI>SrzWw34yjHs6ftjxBYAaYA zK8`vP_>!zMepsBqE8xv4lPQy^TlZ^US$`ulsF|n!f zYLoB7AA8$@E?m&M+>^pMoDp<=_qGMKgkW5voaEgFVvLxq=Z!!&S!7rvA+P62%?A=@ z3FLV+W_CS_q3^|CPFHT(30GFYrtIU`31-VQkIv9T}Uk=chL zY$ubpSbVz5VV4j@U!N;kFsu(^;)DU>cHcc|2~_$5DV9z?YK!%>V(<9MjlY9fVpOeL>Xu0QW*0Y?`z60|l=9 z=lDst?CuE2NekX_(b)Rw9Q4L{+j6NaW$xpERq98LkkB~4Jtv;js+G3?z|0l-kss5P zP8?(bnJ{vxj>F`QqzB#9H)x+i_{)u$%9|myWoMvQiHYD$aviNLwE5`|G`eSirCqh4 z7ff7>_8_9XAKGgG5~>QtmPS0FtEEm~4owr6zVUn52w@)6+ljacqm<>+uQ(3S^mp1D zbFZcO*8(=5d;HSv0@K*Ko)`DL1o+#Y7^YBbrzoVIxOj%&-rBGbk$kb_Y2cE(FYltS zZf-xZ${?9?FYbkEFk8W*j{9a^-bp>43CFa7V6u;MkOgJEZ0lcf%}Y2>Lw71BO65zk zJfRA2OEW`M>>Lh(<>ZzeHff{8sUIhIB5L%a3(wo>mnWed22m3Q^K4F-gycg)4{O)$ zU+$c~TeIRy)zx}r*G*58gD)!Ghs`C-kIXkPY_ZEY6*clRkTE#@0Z@>f- zb4oSttOUWE_K#T|!@0ZT3xAr=OPPIqNy%Q#Tr?iNdP~@eC!|J&?F!i|`EK#6rC-fw z`>uziGd{>Rw^C9s<Y&31gdwlB88uVW##XdyM~U^FRI8$o`Ewmpe8oijLhmJ zBu0>7V*XXF!A-@`;5kq<%R~^+DaRk_xdP_%Vw8&9*E6nH0Fn`mE|0GV$aq1OBcPdP zK}qbS^QhS*6k-f5An>(_)6_ZUzUnc+Wg)B_tQ!#Aare>L8g70I@tV12682j~Q|l!i z+lmXWMB3*vtA}3JFnl`ulck52AT96t<$hV)RH-+*Pt~oq zUy*Og3V!HhamH?H5ogP@ENG;SC2HmS>iKiAQ!Dp|Jk>-k&<*q85Y@r|0Gntfo+xv_L9XHY#l9Dvt zBVq2AjpayUj88Vq8u}D*p4GPBFqf=U|r%4O<}(t(9v#1NuZ7&aAJAHa5Qo_2{jM^R_6?ogLWrs`_O;geSZ3 zTrY0!FdLC6!}OSebQuM1cR<;0jCfN7UcLD;%_X6IxQ&dE?#2l8IOiaG)Cdj?Q)A;w zq5k!nDD+3HccdH5Yyb6M^>oA8nM~xpV$_cx!)UGQB5ttxO5FurZpRCsKnC}Qmu#pr zV^aRXRXthDuYgaf2SL7_n+m0_PDp#hy`FA6qJ46!qUm&&VA^#iRDg7JBG;z)rgk1}tMlOIp2MR89a@yR@B(0U7Qq)YsNGrQIQ_o@fH>0Mu)ysY5*>a`bY;23 zCFjwXy0>&4_?oD5qdUCE)Zi7CCR{S>j}xPqYI)}dTd7D-pxuzu5DRhR z##Vw-wyZ(}5Twa?JpZ749(lwsNvDy06Pjjp5N&{lu$1?Zd2!mWK3-s(DH(}2O&e-~ z&`6(@R+6J}CCTd?gJ}C;5}TGq-(+baxW`+{M>FoeceXNQ5G2>EV`=QaQ#V?&ZNNBC z;FtZ~IhFb}Kk4uxckMSf*r=X)5PCD%Ne@ycD`uPvFkV}i>1h5c?!@x*s4LIj!^bK? zafj^Cd)s|`E=Way^9w^v!K|h<^y+)C%=ONyJad!gsYuEB>fpMzzMC>ei0K_+2&7a> zkUUF4C#Pivpg!}%m?*9Gc!~b-Falz9)TvKFNjefiQUY5!h<0?=&`>RHB$D}i>PB7I z?kWUP4IRo<0+M9$hccl)il{7dEklTR&cXoa{ij`4>Dw=EW8{y>|Thi3|RUJ51 zb;153JRPK-bBoQhmznG9Hhf~+HiQg5t=TvJfLDFJ?fl-WCVVAyYRjPk z?>Aa=pO7x4)<9r;HO7j)c?#4>t0US=UOqLd?HO2{XrBS3l^u10SYY!p4}d50Gj)*o zt9RdEiajAq5OFJ4-}p0NJ5_Ul30)FHY-?~sBAL<6Ghv}(CK z2?%3NKS3JdQ#zfTlAb*l>BMhYb#?hBt_is5?!ZHDVGi|%oocqOC*ccQ+Avbed8i>7 z4p+ZKf+dQFyBS(i>rIV%wh(e@1=GgRtNq*U{Blu3E{UvAKFKRAS3X-Ta^}g+p=T9f z0gLa@y!~QMbb^Yvg*HRv`;IZ+hms(PmEliY_Kh7YuI4;he0y)0TG08`@ZPyc0=y_e zY*bwU{x!X(Gwpr$0NZ75I$lX%YcEj%KbD=x1(D^(LgdbLQFL}F3WY~25&FZT7dRBJ zx@Hmwr1N5N7!bKfV01i5k4=`ep8DZXY&p}1ZxTr2Wh&O0rEn?+YD;UbZd>b1>=^S0 zvh8Z=PV4QFYNN?G3w7L`cA}eoQiV2&sfjq-1dK@>QKG%-Fc#LBxTY^?EK7^vA-}AH zPoh3^9qVDdtD0}uH2^8#^4Tr#9a%fiPkOA6M}zXoSvNG3q?owi!n5R(_hpx?Jv>X< za>Zzd7p{^H65dOx>e+k!pH-nuZqxgd=r?95817t$V><(a#Y@KL9&dr-a50;w?RRML zvIr4A!Wd9-sJ3eWL}*X;`iXKeD`iqy3XB~^og>Tn*#i>7GyUG1xj0OE;ZHmWyZRu( zvHV1?SYY!#`rMgCOG7rFt0w9wb%sMLFzn(b6Q@>%b1EV6qn~w~8=yEiI_fN^e;cF4 zq+ZlUX$ZV&-Ig2j3MzLNol5R;ZZMy=6Pn-D z3|!aS2UL=RwF&nQ{|_eMeVd$)*!KglAD)vIAW7=N!qVK}AU`xn6zHuCc5GT8;v^I9 zWj! zj+n^~vPdJk(Wsc{P0p0jPzk7EST@UhnpbDzhGPL7Wxl2qCrU0G#pE4#Ht>@Q)UvI_ zk=*KC7oYv*(Xz0BtqD|N0J&(rW(B*S@+-F81!$Nb|b zAkA&NrOA=?6w)H-4NT_)AU1yOu!Zo>ORj;(-Mj;vZjg|Nt6O$sY<#3DxdRV(jCiq> zUDGPmHJSs(Keo5-3bIg6)++;yI=y*v1!-K}SjuoRs{3(|L9?s`5p93o_+jkakH|ZO z)Kf~N_Z(}M0Dhn3>9pXT{PE}_1;*lb7Cq}~pILL^3N~h*ZZ$y+cm`?;zT1}a^9su7 z9x0@NJ>qm8q%kNy(q22&6eB$MzHVD?Ssf5!^`Bhgms*cW1k_GCnv%qZOI7=ObB#sL?99+e1hYgy7Xk%v`Sc zQkiy!oQiicF(wtfo+YR;-VVH&Qf&dH*&dj9*{9}*V300aGgGV_nD@zFAS!KiO1fTO z)wU|m`&bHc(0K1_n3^O490C4oEq8sb%}kOx3PbhAW_5o?%GsC258DYHuI<_n3?-e3 zgo$wvydV}3?iLN6V2+jntpif{g+m$%Yq0^CYarakCDMgWNH*`HYb4d}LvSroH=r}* zy*~5%!L3;ZvFu&yx6G?Z5-%=5e9zJpDW%~* z%*NZ||Fx25*!_LWeU|O z^rz|Zy3cc8Cd>oI^RfUWw*{KI-;lNxJ5Xrci+*0 zxxviS(Zn8fCnN-JzCkLpoI+EDrm^)Z-lulBW)zPwgf% z#E_*~N8$VK6ZQn1Q78CXNrx^_=Ng0%lU%l7RW4)0VcS0B?Cd>wsec8^^521L;H!(m z%k4yTn4qoy227%KVbDx8Oz&eW-QxS)z!!K@9T*ciR#iT0YndIg0x;9aN(X}ltWo?8q$%^C>QDwKFNkDbi#(A+2vA|S^>P)I%QPu>>3X&2f_4mH#jlJ{@6cA&z+%Ah&O%H z<9C7g;2kNUdh$(7kVKB)Yr@Q2vMePXjZ4>|SrEGlnOV^|laPu4 zta`lu(q>GLjJYvV^w*StGJ?#;pietBdWb2q%wV=2d`+=o=ln>0m}^JRO7{TSseq?! z41wB7^F;@pL(e_n*&a@d+&;)9_urngU?K|AM^2!X_%jSoK#?;i0f%hD7;RDX_?s|; zOtibcW6`58$=#r`p#?=(aVy0xjXzLG<<4r8URJI;1i8C_QzpF6^cW?*Akw19Ws!tnqZeKD?BzeaYP#G}BS;evHfp=QL7kQyLKsAF5kv$esfTgu=o@FYAKd2SLv{U=)@oVzpU(8= zvuKryJ6Lf%K-G%{GtV$e@~`P47_4l$cHY6Z(kBH+&iRP*V4okn3Yfuyrv?+GnGG@^ z4h3V!P7x)|`3}dLpo^LzMNH_`%hOy%OK7YlA~qC_!IxwVnrjVlyc?b{&O7?j<8}$I z!a_WFlRCf?udllo6M96B(!K7-mrb{?FqXpHlJy{o#-^2?9Ed!9^5DvXZ*XD2`SJMK z_?(P&`FzO-ZB;Cpb}O^q4e!b2t_NDlc9Jl$TjMc0c(KJ(-(y-g#Q>jQM@Ft#I0%E?-<>O2uzv+c^PQGc-& zONT9Kzhl$LqDF#gd`<@**$7aEa$y@IdhvR;0v%b=8{PA7#mpY3tK`;U+LBAgkr_0= zDcI`V#Jk>Fs<{pJ^3L`xT%Vv0c_WEx74dEm`^3!V(8LJGt@ zB?XA?l@1Q4cdmw^v=TyRP)99fJfd)12_B)RT8hV?@MSF7RYpNEu@@Ac3=wq(RjHeI zDHU9CxQXM%L+&GWrutY}kECp|m~+$}gU@ls2%g)9;?}B)6 z+8a-CeiWKKHkL*+s$lSRp!#}^z;-Ld@4AE(%;rKE6h8SYpZl^8GOLrzDNKkZ1G||d zPe!qk{JE@9oU80(`Ms+1By_W$5xfegd!FHwcvyZt+wug5&G7{M=W9MVY`y3O-jxqr z&Z2E}VJnak42Elb^I__5u?>Fd*rK|SvRe^d%QpgOU54RgM{OvV$t+*s zYXcnjBps>hmD{K|ATT{pMeIq$#H!3s@eL+X2^S005sS26Nqw{aQvAx(*RSD|+@7G* zX58HaGH{|!nd|vFY9i4~f^UlWUZ>8zBoH1%BwQS~ zY>_mWL9Z8L#m~AY9!1=GDMslIod9fsy=PgqoMB>x_NRgC&?+kNnPBgB?u3B#324o} zzw1cl@HVG3cd`LpF29q~nc*N`c9(X|{5s57LzFzSff`V-^MgV^4%C$Br z@9olim!!F`reO99EwQ%+%kjRlSo?Q#>@>iT0;K3@S6mKrwVN4dJm$ ze{0rs-4br68zNzxFI?PzvH60W_?w{YV~Jh$$JIv#g==JVY9-cLX{!0mazu5h9miO{ zSOtEQf1C;CVHt|1Juu*fBsr@^d2dBX=!&o?|7uKRi3OQYt4@2t3&S2%AyL!QqgC7|n|{M~;XE(8*|V zK{aeR%q>$c=^m=g1GOKY>@GUh6PFvr*FS35PS9|1tpo2u%~J-2FaPpph;^tH%j>yW zPm`=wF|>j7PI=4D(+;k{+h6S6LO*Oa@yro@JVxy$AliB0^`0IFF#8nK99=wEzcdV`Fe)x5qf;7=au*<;g@_9J4_tRH%^#A;=2fmI6Zq_egsl zR~O0NJwShk8|#~mry9HdB35Pyw5Rd_sjq4L@Xcr$OvH+@>Awa|Kj>SEEDY>G%4Dy% zg$uZxtOdX|MtC2fggqJ|Y8yl^d%1audKe%2URV>6=n!cQVSb#Hgg~pt2&6R)Wpb(N zc%>r;Py*6e{@IGEe>e4_D{~&5Kx&{!|4>$7<69ms%VJipMX~-*UKGWJd>rL9(A&^= zh8nHd0~KS!`fz82I*w$*qy!d|9a#v%2&4PtP7xe*F(7t;$^bV&!WxLIDiEB{0QWQ) z&jdr^sZis6aKh&z^R` zK|K=#eK0X-N4z_y>l@wYVsymAJ}%|fbdoJS3nk}T zDwS2#;*`_YWMrOZ6dYmZLpZ(-c#nD4`>&tdI!7S>u<3z{DK6RPRx1^id6etVQW=Lg z9QuAQPhF`3xog4|9e%#}@(b!@L+!q#foH$ll3Gt+dm=f`!F<>h4V;IW}B!d&MYef$!}Os1sjuh*5r5)m_+* zTKvi;v`9P8lV|X?X{+TYl+OMC9Y$BTYRaV|`8Vb^H%)*qr;|@;cVodn+@e!Ci2YikQ6lv{P(%`^ zr8vo~_Heh{7`YDhlaHL2@^{uEcb<&gkuQSebKlM&Y1bMdU9XftPWvqhS%UFrFOqLZ z+cYSqDt#M8%jFWWyqB&N!VscwNOw0R6W>D&XGh{|gxil4;e)Tf*$J{ad9c9OqyZy8 z68aMl`F1${e#-aFVSJw@BtmCNsHeW91oJ^;u!g2{2B^!uiw#Z54QY;j{SEpq%W6u! zE&zUXGGqlMS4uUpY9dzGs$u->L^e@r4aZK@x%vzmmHToo4FIe*U~o2%F5S;(koWM=KP|bt>%y3GwmH&0$SLZ-%6A~BML007EWl!jW}k)N9Zpx zn&XpS3)mktum;x3d1y2tTpeVvff@gFaYkzK>QIzp>jnUuWY+f+AO|-tD+exgbtjiW zC!=c4!`Jj?tm+cw(vE;vIfNn2dDHNg7Wsk}eCm?WQ6OEaR~=ysJ(n}c_|~_8VPw@5 z{5w{#{}wAxLbN@-bz^QfQXn9a_V@q^l3K+*Pd=o+h|oLb6QwT&Rk$c}Y`2%iZg-St-q+44xZ z{u+z?hJOU9SaE0$wUcu1TQm<`vP{_)NbmR|G72T{A`I*f=e9_um%gS|fwcj_w#tw} z35w&{^K7zV)y)$3U%m;G%b=Y*shV3Y`~HE%pw3#q4YXTI4F3#eyMhF8{Uf`}|K}AC zKH)IK+o`Z3>EEST-+AdgN+hS;AS=c9CE&W!8yihB>5eH2deQdqC%+^XR%26`G)lUV z;y`a7NPUkKYqq?Fa+nHKouGnvH|rKTbpz$9H(%}1eRKUgZQXlryZ}fX1ZRl%LOp3E z7t@hC<(=)VW7gf^e-R!QbGr%5T|9Z-9h_9?(s=6!P?6;38IN)!wl-oruLS+e`Vm5n zs)E`qHX@@XS@Dv4KILRw%WMlSG9c*D-wGE#n@pP-a*j_()@vl@FP*$GO#IC{4Yz) zJ2+gFLXWS&+wBFO;X~*|^Cu*L$i;SP@}@>a9tO~k;a&x(D0*>NX*C%NVMyBk;oYBs z7Pk*sk>fPGhyDugms_#ZcsC19C|B{lIMH(6inJVpkIkwPok!na*?)m|?m!$REY7$K?U0~c zU@XWdB;!Wd--g%fmU(7!+NYs_g6{BS4rHAfC@n4p1TxEF#Oj7i0RpA~HQ@|mxELHl z2j`P)(;+4=lOGE|*1Dq0Z)F;EtFdsvUPEO%;aaP-p|AppG`7!-^XwbOnUgg-L9?s4 z&l-QdrXuq~2}eP9rvvJ~NDB;o-hG33;aG!yIQe4ZyP>Bb8Wk{;a4)LJT4G^dU$P2m zQMF5~m_n4t3lATu4`wkz96zE*st&l@R61DUP*t`01>B43NMn_uedWUv4oOYTKZQ=HXwcRnWE9OXSicE8b z=9$%V%~MVAYz|U!?1EizvlJD5g=Ps;AHaDU0yR&ei>N~UFy06x8O)K|oP#npU(JK8 z8y`%``KrfxS-hK}XgQ-7aHXNIwc^)!{+RWm-NS(q0KPWP|Im1i0@zE(`!AkRkQ>6+ zc-b(c-DCh4ihH*PVFoNRjV4u!ASlUvoHo+_gdOA9QOsG%@N2CrKS3WafsDhcM%bAmc}*X3u&&KrYX{HDgWz*;2*zw8w(A!XMvvktLzitTm!y^B`IMl!Czu_ijJ=|yVFiu8{!`2I z1SATH(v|sW%(crgh!s0oJ_}12;u`0fgLLi!xp7)`v5Js|10{L@jUD8)yITs6ii8-u zY4oX%K&u#X*j&i)`=C1!sR6EcrVmApUTR3o)o&klJ|XRP_-LJx%%Bc<@l1r69;Eup z1cIjL7XMN=ZcDVG_306bDPL!;D` zxz6DqyhbK?4Xn8{MZ0_Jl`VE-?Fyv6Didwn`Zk(QTT5zV7a3*ay%ELSG9N?|k$EV{ z3?>c6I!9!aLHS1u1SmSeAp7@zKnfX}<#L^}W?Kj;+Hz-WC5#Q*tB0(^pf&o|^hoH6 z_yWr|s9SRd$}EXKpM?(VM#WVawOqg!4Xr}HrMI~PY!aO>9faNgX49)KK@$$C(?(Uh zy6tWb_i6@*;12k)OV!d)EeDM4#E&APLF%2zK>F(0nn7u;CspqFzm9z} zHt?we@MqoiIl$NR7<%+7=oh@~GWc#{4+$M}$`vjFlsF_ZM$itP*M}2{rcbWWgJf)2 zF(jyWebP@gvOW73mT|0MceX;A{TkM?H#50{7Ti?47N1eMAXo@Q=k2lX9p~ZJW6c21 zN!yq^9Kjdug#pV9Yw2?u;I-M#mQO~eFTK4T_hm^rY3?py{FcFx2chCN(&dWFME>dq z?;wSggHX}sK4C0cFp=~QGWJnFqGC1PuoT9+d=&U$j0}~5ntyP2yhIqWHFN$EvWDG= z@7=R=rj=<$7E_@sr_a94QGtpDkAC1nE&(fagLlu@v4sQq{jBZyyR2aH%Yum%6HB2t zq`!LRaa&BjVPllyTk5!}>DMuWN3wn$pJbh{%HG%6+iC9jt6z4p8|P|bG{XU`em#Np z4NRsH$Tx86w^8r5@;`nI@JpHGuAD8KqKflV>8x!8%ZK`|q31?ltaCE4iaS8y3h_6t)UL#($wfv|-^B@9)r< z?1tc%LkKDGGyqvCEm89HbctGdqA_#8pd>5k$i;EH9)|Oj04rIogc-Uf*&BIg9L~#D zWC9qAoD0D}PMnJwSNBe_^@oc$ny5^P|MEVHl8qfjbbqhxzVyV}5fVVn4s!K`fzJ2Kh z5omk7nR}fzGH9o3xb_$1_>SJ;Z_oiY4OuU1;B7^E8Pp;9N+E$v*cA+`2~m+~&hco$ zsNm~~b4N8e-)YRDj$5coblYjHwIU6X8=*&3$WJ!$Zx|w45Kceo3q%fU6G$uX25Gx# zgCHW2KuCT6AUMGD!@?Hc8K4pb(0YLn3f`q6|Dr-7!j0pOe!mTED_u~$nqfl)3MJaS z&NV`Hl-Qsw(weKPI9WDY!cwFwZ==Wq?!+2jIlx^nUNOeHEkXaL7 z93~)6HcWK23{8;|;zfP&>n5X;!@Ae)S;s6lss%NGzC4bd>`}kYl9r^0xOo4ktSgU) zvi;u7+eAZXQB8%Z5JR?7mM~Lk5!uFCmdcc!tgkhsU0EmlQXyo>ntdrngRI%t%9btJ zvi3VqS$e;}_b+dsK6#$|x$kqIbDitDj`~xY)cUW-KsQ_4kF92vgC7F|?s>=GW-B4c z85)O0_`8v!#*SM=ggY=W@g4Tu*l5W1m=Detnr}18TZ5hc#f>NWKyiFfScug7C zYhr_>cnBe$9F>0%-QRbOV6OZE{d%ghR$y&qLr|nnyN2KGU8F!}Vo3@zhEfH!Wp5+f z_JWs?EDWpP-^z1Ij$IJ(5~5ml7o{+ppiYwi_9Q?dZlu=v-Yn}2{-?FfWpAd}c=>akH^*u+;t+7r(vau{gTlNmGv}ll%h2w#PuKtDwBWG8u=9OC?r*HT%Lec@C zvT~FezP&X;^?>@u%Pok=g$i~6+29j(vB)(S;U*HTg&V221aSHkp#QunEyym zSHlRTTXu|meuxJDVzGN6Qg15+3t5EOs*t7MwjJTR3`}+lC@U@X-+)l31<`ag_10Rg zEvl#BHpcN|6N2rk%>Tjd*eZ^CLW}EKyWaunE`)tRQnLeIyQL3?<&LPW$N)6X*8S0>ll(o#WlPgK$YR;&`BLa|2I529Jzy%sX&0sHN0!bFB z=@C6U`0DT+Q`Q441JNWlrRYhk-#?=(u|anE=T&G=EExooUjy?pSaMgqBm{9Y(e#Z5siv$mCu?^}gdzqyJwxK_17hIQFsM{A$` z{&d&5AO0K$M>i{$`f*4*7&Z7!a=i4C<538zaKuI_MiQhRm&0wEXXA6=%;U_s^TBzg zBOSR7cCA@v!Tc^N<8ydoqGATHFLEAQzC2C_Q1ExhJ@A4QzdhTp*Vi7OkxQGYgQ{bR zwf}~4bSqRQw=4IOOzNN&7lJZXHABclXr>)GS2LkyVp)X@9zOB5QB)sxxc3wCzO_$A zzafAJP?&UX9oE%%`Lnig#e}6=fW^@a%qlBKzY{+e$*Ep)4tq;q-9tM#f_!@VEhBlm z`^3AQN5Kigtg9e*31)AdJs(p$yr=m-)A3)6la^hjh$L_%5BSZz%b(c}CC1nzd`29J zSO;E1m9Y7*L7d0b@eShFemQg%p}>tVtk(X|miJ`FEW*6(EWitM6~99hHs7f|=ukq> z121=WJjt5KO^NoY!D;lU=$L^H6R5MSh>BnTc~v{2Y=G9IA(->qU`?@m_lG~;rZS{W z+4*VFwXKGh{IEOq#>3N}uK^6*nFfE!)Y05j_6-bi5ZQY5D%<*gt3%r2g>JNa|4F+& z37ZlYKbLs^gZSmx*fQb673t;B8z}a1!;7dhc!4AvS{^A?zcW*o%z^(NoBkNiX9f&- zYylzXDBw8`w%a#iaOb5b;cm`xi}OfPFur#3oH<906tDO-at{7%8?2I`3~JZW^%e3% zD{RcQo%)|L0M~)Sb2vk6&F_gxUq+b48)NGq<^fSlw7bX9^10Ugr~T>bPO5q@W1oA8 z0o-M)<4q&Qk~Iyx3Y>(DU*b~w1AI(P>LO@i0_vqI9Dy`fx25T3TcJ1qIfux-&zA3b zVTJRvf@0QfQ<+mnGayb1;8n+lZ$|`>(67rmAf%HX3-4S>Noma6?n=7W3vhtdhD{G& zUMy%Xo_N1Uh!C%qjxS71Piw8;o~fxqDpjqfF~>@MS&xK_{t&U)Mg{ZMR7<}f z!24WJ(ZW~;w1wLMb4Lh9n$RlIQae&?^GqIVkZaSI4DfCI2$kpjlN=|E_-s2gT^^=O z>8mSx0@FIbBqV)sW~?*Ze)0r<*SG332@^LVJ9)RguW$XsGjb!=ia(Te4y=6w0(+ zLmJ+QsJ9v%^&yy=A(mSpYj1?2#t32bnN$(YAmd16VgogIa-F$3ayZMQy<#CO+qEVG z`oMZb{)X(uhUqS>F+u8&mkGSJw<6Lqb=cLpmR*P)it&j-xOllmpBK^%OHqi2p;Fv3 z5YJ5qB5W@#Hk>P@_RzqqrN0T$#>A$CQ^=`=yvG(~_9b9li$|&`XF@6d#KRD3f(J)A$AfQYRH-$Qt8h4A3V=lDJtip_9@-@$ov@y5We?tP)A5XJ`N zMiXB|+5GmIC=(8-YscJ6OiosyB?TobSX?t}Xc1?9O7r=)#4||$=9znT{BYsni@pcm zuXUPZ72ws9jC6$8zAe!c4o7ZD^o4(ukX}rl!|1mQbOMI6hzKF398qE2Vqnb%SA!!% z7;rKYMV~kRutntwg+}iV$2-0q+%xS$^=T-Xq1eEYpI>}m*T+5o)qTf~vmKxiK9aSF zq>GfB*&NcY0($5xP^;uVYD!c;=(guq@u8u+7$gKC5p;N`fvYHq{td|dyU=tpIR;DL zw2&L}rA|it&`+$SO>E`I2#Fid?4h3JRSYo%5OZQj&0v-+!*({rgHk|vcNufJ9X-E9 zO0qKA^_DExHC4Hb4Rc+gDNFAiR>P#H`IdXjzos(C%3>E*uN~Yw6kf*R15a>S|KxAC zuDD?RA820^M)_d2h7GC4aipaVE{!KaQT*!Pq0mkTbSpSFA^?|^?u!X?U7RSlj1nYg ze9%5PL-CBWxfAXB2$$m#p9wktS)|pOc&~Vzk9{>@=AniN7MTxB>C3Jd6a8c;vb+f!~>5Mt; zDH2ws|ek}>xvK^R0te09PHd7(N6gsKW_vLfDeY4)c1?k@J|7a#7-e|<$PYd%l2z{v$H{>{9R}s-V)bAYy`#q0LT{$C)4OSz1e0pY3NWXsvp_zfxjtJKWpEy!!~>(f#OPn~e;G2d#2?HwN3s zFVI99j~mHbU@mk5Gc5jxv(!+sCXjOxhc;EM(CO5MMKY!b@Av#+zj4DRb20{qDIL&8 zHvs{iJv}@5i7}Q^0lQ>&1R~_)Sc5#@(Vuj^qUC$H@i%}BF?YgvITyG*x#o?EEVY$Q zYP?SsqAj}$Bm+D7t=sXH^I+JJ*B9hQWo{@4>wlg9+pj^uR=7cl_)7laj(1(N5aYv# zgvhQ7;E*0OKK@KQHXXv1(#Tzu_4-+>Z(_foUuEBY}pt3s627$}Xsihw3|3dUJuzOAZH{2j6F844!xNs;J)C*&rauE)2 z@u*baela3Sj>UUWhT`WAQ{Kgw#LU>cS|4q2tF%}EYSkkdSFrJVZ#iK9<@;M!Um0=e z0JMxMc4`Bl1@eO(0*ruiDd@YB;Zw8fKLqn*thhV>1el^P{hYENIrq?vDd9R3SHv|w^kS8 z33B9dV7Cd?Ze=gC<7!8&CT%}|5H@YSB_)e^c+vQsb`gzC(JxD z=<sD&F$g>Uxks0KfVg;$EM~I;zz`C8>+}^ z&b(2|@p=Iht-F8eKLM+!(Cn)VYq2Z{V%cdEE3q9b@%-$4j|+Az&})jUXioj5k$wTI zf!`VLaX%f^C_DFcn>5UEQ?I|Pm`eIGrMq7TPg9)Ky+L~gxkP9@6ZIzwYHtw=4hZ3` zdT=$J|2GaZW$YB$p-E?46(Z`ti7g)9SS~TeN!x*K%N{u!kr{jUPnFoAHErgYIK+(dY^E zJo5>Kz`|pnPt723rfJrKPe5Df!l)oWCZ7pvMn=!zjK>pCh9%vV*0fGRFex? zC9HYpbmj0>m3hrZcR?_}g^nB6#i_fkh8pN*b+zqD;0fI_7i1Fc*=#MmSx`k*=Y7*@tgJr&O-fNMg z$xeoOokwT=9NCBRMw`S9IE@>nh+UzeFShg-o+j?F(z~s9hAmimHjN{i$k(vEw9pQ) z=cQ}mDeNWndtd1Lxq(*O`n=Z(#&J&v3uR@ z*nBFpBT!zzE59H|IYm8>A1Gj*I$S5{+@T+nkay$s_;c1%CPO z=D~7pw?J#ipr}_)akTBl0aGyQY~Owgs*^atlq<QNGdRkzJB=>xc|47q&s*@Q1opDCr-x^VDE3$^-ZdcEb!N z97oX`Dg3IMn*FjN8rI)ItX5f4_e(lp?WCc9T*(Ez zZ3WGPZ!N~P?{glwx3D1jnp}+dsitVR9s?#{VnA$8P78!%tdsk@2kids#KK-3eKR&G zjV}*aEL{wKp8b@o=F|Z;fH_%m#lMza9CxF`HQMqZFG@UaaiV-itg0{|Y*V4cEyt$4 zjWxH6cHzPmjk{{{-)~)#E>235AAj48*5IFzSWU5eQUMRYStz+@%m)XV9}8;h^5LW)IUc`9L6&{4T7IHbNDR#r6y^e89#7XcODJBm+NRWTBzX@ zll8%R0Sddu9c@4`k{!ppAQsmy#G6@`2i}$hKGeNVn54TqC%NG4!1AxtmoGofkHgv6 zIjHt6Ef$SW%P;+yA9Un0b(SUjv%u8`3a37nxNd3a+&>y(5+s`H*YX(?KilmlD|qCk zU(V~27MQ)Y7H{cL%|Zl^?`@<1u66*7{7b-ha8x$p)7?r;W+r0Rs+wih-9`B~T<)g3 zvE09p2gLB|@66cQ*}JOozaDj+2@TFPWMl@zJ!*I&;l9}AFNf$8?76c{I0v(!*kF0@ z5m5UOS2OyUL;7^naT(iwMWgCmZf0qoyT+j6l}_=B)>jeYIjHbGM&F=OIMsI(=YDEF zG)~(PtDnBUz7#Gv=oyHaOAvW?WHK~WW8XzdxD}EzpYTkcx09IY8ayP{JG)B z=k`a1YdPV_4iyz6=z;!L1OONfbz%)wsU_pO@*Zi2WN~m3d+zz{d<*5t6Mg&Sx&@>o ztkoIKvAAWIoO=OPC*wVNE2o5Y38g~gReoN8BWJw(%Nx2u;0aRARDDi zYavNq6)$8(=k^T@A0sqw|66pbm_MLiYDR^K&6-!fQi zO*MyStYF!M3N+&E+wjCf2`ixA4h&q!4BE}tR^6OVDF(&v{_P!SQ$4&e(2un*wWREk zasBy<=`&xCmXk#`9D`PHlD>3K53M;>>Hx%Oa~MiE#BnO1W^AAXh~F736qeCq4O$sh0wp9I{n@mW`< zf;S+l@@)kKWn>#+9AJahLVN6k+RoNG5FTS6!u z&uO#%@|UYfoo6yz?cJiTW6N1P!nD4nB$b+32&QhqO>uiojDy1WlAm&`M_!69*Llwb z=sAYN%#9A!JIP~QGR}>ZGIhgO2?-Sd;SM&nGrvC@(7+@&FoW2V1K@0ny(|p8R}F^m zKpQ+WGX%tuuMU1zP)Jlz(9^NkiKXEhU6^#d`-{AvGHX&R6K3lbP2k0dJ}fl)1KD6M~nMsK+C+}bspQA?`ZYay>Ac3v^w~csgostl%5FY|#GX$AqDtU>@In%75MkjJ5nziU2%2>NwU>u@uui2!ca^GivN7 zVP%Npmb8TziV8Ic1U;AkRb6x*_jxThvIe!_{6Zj2FDq!-vkLoH=z1d7Wz@U89srZI zK+yYD{wz7U3aR<=!!N*;T5zZNd^E=|Cqn>9vtg#dYmJ?Jx%FmF$^9qXMbANw>C2&BbQLsC0DbCMfLmF3mJ^m&iA`q z=gk#a%~}aKK~yqv*AoGGxwQ>^1jNyU0L|)^oaM^%h2Ae|<^osVz`#H|U`7@Il+M6P zpmP%HXn&+|(-^DVmbj&sp$U;Twv#lcVE)C}TXUI|suNU~ z;LV3ZZ5K=@=OK7!fpKyEk8r3aMfzYX9ZlUn4%*vMfEu#k8kTS-b0TCmp_Z*r%x=Jz z%PT2v$|kkyQpv4AXfeo7HP@!5=^#EVA;=`-OQEU;(l<6AgqDxf*S6ulumb@8-5Wmp z?%lii*?PNU!i*^~+Sv?@g%g$gyM{x?hJ!2S0s*M0aBBT4FOWp?f-e=SYjHW5O@&US zm5qiY&6R-pRzCGd4}~WUXoe-J!5X>Ut*!>Gx7yOP=EPr9sEN4R1HQ+v98``vLJ1^& z|E8ccOo4_YKEVFpI5)4KA*f2_;}hPM$1OnU!69i=Mpoh19?(*^R?+!4tYIE?(%wMx z`%C4Ci0jZ963qwKVJp$um-$~PX~~vca#89gS3+TEL>v0e^zDF{scPSeGtnnE(&CX) zY2gZC$~M%dJ$3e@;>4A`Yh{Yx20qcUj zKs33q^t;B4-tr|ixzv$%m^R-@ic%h+c96QJfd_m9gm$gkl-W)5ZjaJ{@|Z%RDk$Nl zKM90~ek(HTEQPR*D2Wuu&*AG5nNviLpnVQMh3{BJ#+k{e>pe6#4;!c9ezz^zSU8VM z9KbHRj#r%}Y`nb+`Npc^2BN2N%X&E8N0B{^YcElNns1QTIhJ`79poSQv5J{0JOjHY zmw6xgG~jZQ+sTVw5;ud$UnrM0U-`8-7D$We|N8Z(TU*84Vpuz^YzYFUQs@;-e8QqJ z++h2c&Ne?Xsw#i*0JC$$r(*o&mjti(@gA3x!f2s*7ZoCw`cl$iL>r_C3Xhb7$L6%Z z&~wkxg}v6Fs}kSW^3~qsb{jaiN2` zp}uKXw3ygTttg?LfaXHRpi3lrLfchh28VT3p1c7ym}OMA_1n#soLzu4X*`w)M0snl z1RPx5B=j4g4Sm0^L~pCqY6(zTBFvrf zzN=rF4yA)!I+a2aZ`VNZ-_NwTeX#v?Y9YXumU{KTc+SfjA~}#e-yFXF@sh39c8|In z(7`anY{ef|HH&89lI@^Ul9P$%js$Pq4FT%vo8$RZ^4pBWWny zJ_5UX0T6IoK%IKuIBgB1Ug-h8K_O`!qDVvv1h3PyBsE+gM6?-Tk>vh}nMf{mn)^ZC zNji?CTfGV53|S5rf!uH@y9t?a1H8#|LsEA)vC5t|h#9FyU@u%~I-~Di$t%G^dbEEx zlgssUtV@4PPU@L_f?Arq7=p#ErtlsF3AEa4DOU-Z!PRjjtB@LI!*&rTASasxyq|41 zr1sLFxQJ;6Y?bQCmrOPj(G%6;a|Ej9 zP_6ez(47N*%{XgtHED%BXe=dMOop9XP*AYo&Vk!screVSoC3zwkx?%{QLu6@&3IWP;VlgmtCs5X zl)OViLPygXPX4=PNNjbj{Nz!RzZUNbND92YzGe5xmF)wXtwH6TM_S)SSX=*XI z4G5n8|0)RHxfwh0ClaqfwayA--urw67$#V_n(MlY!_Nc~Mx+(|{_U7-PjNj+UeBOO$K{a<2=J z8xe8Sjm@e=YxIS`xt>2kE%Y?HErMxn`~9Xi;P%JhRDqA*8PAXv-vhRB$pr-+$2~ixxpz=o9b^*1Ee?WR_vJkDC)6Pj8V&z-w35SO?$0<%3y@Onr)C;>;Ihn%uE zJ^dmR1~YPdr#|DP-{8uW26$k?j!i1zJP(DAu72FLwZrM5;7B{tXNj9Ng)~JshPlzA z%)pc@FVC)eVA|`}?z^;Z`~e&A2Z}dWU!7=ztiWY9=x5(~d5UW_`C0uZE9gAI_&g_z z7cu(|7Bf6&x=E43yOq6crf7z1TV0_r^hA)%B~RVV(n zHKju>1M_{VJL2$K2W91-_RB&cGD+B>t>1g!Qi0ef1e&u%b)oO^BLy)>(PFdX-B!7| zxk3^!J>@XWOK&zW@t`M;iY=|kN|Y?Wt?4Uz{huX*baz*f z08wuJ!uj)4g_tMk`!7Ohyu_;yOdGvKRqFW!pEq7!C@`qBY&%6dP13p5M%tYPuPQ`n z0S+(1*5to;ZoNxPz$L>K`_{Q{@Yr7~_xqP)aUx(wgIJSPLnD_me%!X-M}tJlF@J+d z^aW2+c&1?gQvi#>Hl)tdbOblY$b&c1}CqK_UJd zg(i{2rKr)?j28&+2RO=sBbW0>%0L3jyOgt+ZFMUHq3Ii7)tWEf+O9k#n*_w|v|w+# z%gI39+~Rk?(0PN=6`94Na#tUAvn)UlRWD|&?EW?(m4p~QOUo4g zmny&$93#zV@K*16hzbas#mIhZ(cPokr}Xf_gXGxQvOBC?`hg9k1>HxUbeFSEtwWSJ zKNS3KenOw$%Cq=MAhp7b}L=P_Qezw`I)z$C=sg16y&6sp!}1J8%)mErZeG*H=!2CpR*sMV_0m zYxp;v^GYfweW*5T@i=_3caUOnx}zBjGdLlOFPi@*u#>MN-!aui+m=Ls(gHKXPp6#= z7F@-9@W*7Lf`bRd*kFE4_}H-HH-tck)QiARlSlbb45CLCpx`(}n^=F4&&cWU-MX-P z*Bip;d#{gyb>h5SbcVn?^9{b)^!EkMNm0#+xn0A(jvgZOBam~X1J}C^k&?i6^JgXq zORHc#^|ND^uc?UCR`Qar#fWXrayldjmb$_%pko5vrk{ZDH<^LvVwlqu(Er!wu0uK1 zIp(bO?^m7#BKQW480aL#D~$qdpAD?8kaWx}%pi@6i_=t9?Nzvoub@^}Zg0%vp-RqT)oJKAAaPc)C$G%m z`Z~{UeS81sC&mmY>_rS@=GRQ^)}Q_Fp9o$MBere0>iF07xc&v!e|jSb`Dm4vZ_yg2 z_5U9Dcb@1ML(unH$XL6r{2V+xIyy3E_wjM$j7b%Zvj>@}HnVcTWDosgx6jUjGNakty{6 literal 0 HcmV?d00001 diff --git a/ms_writing_figs/mse_stab_fpr_new.png b/ms_writing_figs/mse_stab_fpr_new.png new file mode 100644 index 0000000000000000000000000000000000000000..b91ae225518b780cbb02b2d316ce5bce31c604df GIT binary patch literal 839220 zcmeFZWn9$V+BPf*QWAo6qjYztNq0zt(lK<02#5%R(j6+@-7O%EbPv)!bPe&Wx%PeS zeeHeU``*vD_rv>q(BJ6HthN5@Tx$?CP*3z<82gg$-JG_a)5d??Z2 zZ1L#vpt>zzuuHBaHa&K<7GGv%z5o2YfPI{-zzp5So726)gq}em-iGT;H zf3(!RrC~b3ot3EMjK!p%8KYs6s5}o;*$B(tP88)$w5l&#Fx&GvN`<9)@6}nrP&exG zb>hA}L?TKmW+&!Zat?|7AkO+ZC?tdUUZ%DxC96T60R^hvw7(e(KIO?pwy zb4o%QM{3iGwOp(Zkx2VFntg6aUYB2}CAV~`PE9vzxTSt@de#1ZJ=x(b;rGePe1&ak z^aHAB+@%vn8H(21`5UWWO_N>cGs+xbCO7GJZI;1Db{#oGiRltS zFcW<^D?k1EZ`B|2`BCZ5uh5rl?0l;!7H8v|l?OY9$p1lN1j+olTgqdQaD+mDA8qO^wA>m?m@JHhSL(+<~HxA>F# zygi>@T{e2YJoR--7vA0U**FS{V@JEnijN5-{1N!UKl8ct>H5-5*_<5ST~ceZRat+I zsBbuWoXZAw*&9Rh_lX6^sO5>aF9XyvZl6|!IlV1;b+14*{FCwwd)?Odg=*&@u}`{B zus}h8e=~Lk1}akmS4b14qR!n1ZC_!N|rYv67Pu0$*v*_iAK#13WD`t6G-~82_j1}kka5!2M!tX$ew<2 z4#Fcn%rwqra9>oeGF6+J+OQbEb(?;=HC_%Yo}Rb7&!j!po446>l^(H8ve$ zm?^a&ibBoO1mTaLya|sH&^W8rKFXwvRbExI!c!MjC&()slg16H$ac%HLxx{bj_28z zt8I(Dk5|^~K@gbMw{ZEAmOZAW$J6&>A*urt-aWYQ> zE`c7$ixl|%)@I3r9XQ8QMCF}0injsXkL*c?deIh8g^q$|%4gdszr6IpS{ysuIc>S* z@$kDI+noF1T)58uwn|VmwFL@unUIjWEx2Rx$sZ{r-AD7TJ{IiG9jQCAPo*_Hkakj0 zGbqN#&xiJ+YYFgaP|zP@x6RKp51X=Q-A2mD6EfKcn^LREq0W2_mN`(P_~=uMiYrSK zj7R^NcF(i?NYX-}0%B(F2GxUJ8+ed5ohFM`oGmyH2|sudh(~h=30>+AGTz%eDF5zd zKs^m!QJAip?0@g{9m8uk3rGVt?vGBkNmfpa~~n2qi=7RsB8Y`C#RwLj{P6@5e%9UflfnH_$@?H zllDLE5!gt9|M;Oh0sn6!|2!uD?g0OPxRFw?=_gJ$zD34OS6GA)?bfth7wy!or)8cw zJowi`+AF_USTPvo4)ql*k>TUxd+F@#yi}rHVpzVGWYbG#Q%Fm0TN<#_4Bs1RaECP> z((wHA^9Fd);W_eYs0BlPjufZO;tk4)Hh(^fjCn!j`FPuR?$47XwM$UC*RO5lOK;?N zk)@Ex^X&b7QaW<`+RXdZ68c|N?=y_~VP(9>dn-jxFy()Hy?U{p&T0K1IVnk>_BY}+ ze5XQL^@z^#&nv+ac4xV**NZCV9x`4o6*6ItvI+7qVU~2Q$APK#VvWn@NJ?5ap|(CPv7v{F(wP$higj%3*JojGTHhk!hjscC zoS!d8_L+oGt|1=VZ(9!<#o2t`UV}-%py0qC;=}2Lk8FivDQ_j^B&J_&o0xE?!!N}9 zbSLq3;T6ON0&!XxMXhHSL@W;F+)hMXm|m1WA9t42R*MECrPD83Im2 zUrTv|*YFbm>psFC33)IzOf)0URYFp3(;y1xer^MN99_GCAM?N#^pZCRk!C$n^agjO z3d`|I*ZKXfJfMy6lkIiu&`ZO@&(W!#5Cw9#{siu3dO>PiJ=?Ni#KYY|rbMx&O|<$n zOQ(U1Vx5REW=`K95 zL8RNOqalL|JLvVEyFo=)mi}8~UzE|CWD!^Eb=lL@`m@6k$!b-j6V^!sgS z)F>Pu@>U@J+6&2%k~ccKy1G8pow=&tekiQt)7%NzK~Z>lKAL{R2mdsO6u`oOH<4~8 zrqhWV_ccC9Y6`C2bKMu!deHNo^;$RmO})#<1LOG8agE1afd}0^9;MkyuFo{GO;Li< zeGWqtylgEx1_YsV(@b-?0ZDYm0+WF0H+dtyfj34|+JsN-VwmN3Eg6D{v*udpW zIEAp<%~AU8W4hQS^4Dw8Ln7O3ll~bO@hopVHZntgD8%CD2TD~nm0UCmj%!VBSxU#0 z8)966Z`>dIS)|P{)=-VkMWx`I7LKOw>F`kLt%SA^HOyM#T9@-vu{|lSTde+WXF>HD zfBISW%$BZqQBkw?m=5#!ZsBQ$_8w!pkD7UZ0ddydl; z*k-$RAoq`%BEh-ZqWFarufEqlMFT0Snuw}%UU$o5iZ}ABE0`Y6`uX&o6d^%^uyb}{ zSr=IVzsEr*u^FuC45!hsh}c%Tb<)UxSMO?bG^YVd01X2Uk_2cSwx)5$u@Y$@}|`!3o*FYI_)xYs20*U#yW&YUf#D zEVzs+2CR{>v-7r?nfH;Ck&Q&J)xJY7tXc5db3SB^N=!5G-mSXkh`rLMT}YO^`i&c~ z=AvlaGAObg(`fhxJ-`Qjr{(sh7-$Hlt=S zt~#W<_kIQw8*W_2Z-G#~=*w_53nH=E(vQ%9vqs=y%fSglHC&hR#7JnJWH`Tm#~#CN zgCC3Ed$FK_dAAoSzy-MzAJ6N8!uR;s;eH3McS!Rry?oru62qoHBF(tm+XLgR=+|Ni zy@B5xki*eBE~dtvPHjkW&HW`#T+o)=yu4<{s>V=QWWKu1+SLS4!2NI5{bfp$rz_s1 zzswYLet^vXlt!V+uLE1KQ22L-czvk|q+z$3|JWr@t_)*1uABge*G5(0Hqd--5x5pi zLL3}2zL$nxoAlZpTna*#Rr>DpuJfVGd-DxwT9=6yX&8-N!G{FsHes=+ySS`2+|cAh zNqV_E0f!HSu8&76%q8q*DhtmX?xN&>lG5>yJ20*iSM1fZMmB*dXPt1$4|MgF=wIu0 z1uhU6Z$J2BnCADfu?HDvPp7r;1IpnvDSTE@38X(VhNq^OK*CYw103DqK{qwpJVVW# zQy7KIuynv=-JJm4$9NN&>?@HG7oMK0vD!Zvv~0&CtZWiUTY#U^zlTGSKs*zSMcfMl z*KW2Q>$&Y$X#aKM+OT=DUECM9DO@}4tISuv{qCQv(i5iD^bDF0y2$%}etFb+Z`}NO zSwfqFTR5etmc-TmllWcWQ{NO6RkPG4jyX+^zJ959`0^n{?`4+>OpmsOdz0_xYF)B# zyQC$}PsGu-U3yz|%AIbqbTv+|m(%}3zHYC6+vi)t+x_xBj-w_bmys(I(nq5zmG1pF z3Vn9pJ_$IrJUV6PwcAre*?u(b{-gQZDfYDIdTJ*hTLW2rl3`ghzlmL01=Md;uBy}Q zG}+w0t6yOihgxFpnwQ;mRB9u?XS%eU=&0$ydm?u1dD9``A^B=n4-xVN=K#^=87zI5 zsQ5|7)*lY_P3kUz&W`Dcftoy#&kv8!b-{}hzp7Y+cWhz{jQTuEkA|8HmTNLn{+KrJ zZ_{=Kt|nIO&*;*&s2V2O9z8aeK<^{vXg)VR3LrVpxnY`H%A4P8^=50v#7`}0zRXY2 zq=lfzq`Xy%LTe`WzZ^|R?gOrLU5I6>@4Vu8jLnK}p<+m4dk6fr2VXr)%NK}n9@o?s zW@l#)6{_3IRT;hjUI=!)@#|43jz}i#YMJ`>rL3AS%e{r$Ip?9QIdYc_8QB;7@s#|+ z8yhGN#$GHGE|uSY=Vs6`F+-17ruvO-8e6V+Aq{5*l7j0IqI(V+wGV!31>YYuy1mqf z9y^P_+VRpAwv_L*lg~0Q#6nV=DZZ}0Y=XNf`4VK$!9l{!KABDGmF}y&!TJX8vH#1w?@-#%nWEY32GUa7B_aN%;ly*_IQEjZe3 z4RwL=tRMDq!gQrSpa!r!-tQzf3ThUGG@WP}7mej4K=fVDx4SNYb$u99n%voaZDcC- z8C2O1CMLAj-(hh$j9KJDNJmDiUnhSssvN%G`+BQI@l7+Kt=w-;`PyCq z9}Sc_C1=zQX4Hg9jGPDfg=+?mt1oA4N<5zp+Q5GhCLD7CSmN`%JekznzU`@`e8oliy!P11$c*e>cMh%2z|QKE~sO0`(F&?H=Hei z+Zo{dh+r?@{59QxOwKyJem-Piu`TefXMZAZH){k;iyvhkm3E!_y>4T&gK}xMah=Z_( zRMytF*a~WuZD*_n0(SaknKPRv5f^iimnszuFV}$S#YfeAZAfst{EtX*z1Sn|Xfa|m zrOwCHm4k6s6!1Qa(fWg=>-_?RfW=xa@3YTKEM!9YMNkuB`A{nyDQd3y_SqMdDI5(! z@Hf13^W7{-NXriUyafCYUd0>3xPmYF=}N_>lp@k*Z0XSEmx+wmNa(UmvtV{7nMU@wmLB_;9H>&>Y;J63O3Pip`$F1v zC?A<=Di4gRJISjv-hnvts1@7|PEgVvx^|tje&g%AmFSe5-P=9)7Oa6uj=1u)IBGj)S2eop zL^ILBiMZaj+JbivPhMDe4v4ZD)Q|D^k^bP=5g!sgdW*6%djkAyZ3fJh19tS_1;y{= z97Vsx>emTG)fhYjDdtX0Z@jW@Cd5F^+ssy&O5r}|*fXv$EokR)l1NS>n45Z$s(ou7 zafvP`3l(Kr@jhCKR=yV}_|m&t-)?Nns2GYADL%VJtHOqqnK&eR@Pptkl-xUg!1R-1 zDL##g4XBl~Pdhs%hk+>*>lJWd4`NlLqeC zKEz7mCu6N-$ws0u%D(EVac1-PL$(XaMoqS7As8E+bt_SY2Z{x~3nl~(?=S8hvxZoW zqM+*8E)sW(THM?eR=E5QCa#ZGfL>12Aj4{$5)+3rNX3~ZLE&QjymvRD$XnqP6-+0EhHz_7_NnN$dzmLG-K_>Id^7S}F) z9Om&{5zQ0N}XvQ=dlq9e*p-zwX~4x@_XM^Jyuc5r$KqV69qz z(~5Jt#yNLf)Hfse2{w28BJ)MJsQN8@5zvVI}kX7+7c`n}CsneeKfA+|~1u0YD~n8JP)8d!-`%WV(|i^Wso5Zd#pLH7nC&1MRswcSbuyw zJp)7J(+v&)6GEF1oW-qcif3pPY}2fl`WPLrQc$#82VkT#?+oZ zO19%+u44n}k(ZngY;nOGhRs%CHGOp$-{N8$tLs!ct|G93J~E7exuPJ-)6_x^#>Rd< zwxf#glRV$2U#&1^IuY6j=;qy(udb*c$VCaxrmv@W z7SXC^kB^|YH)nUD0RU_Io4QB^0Y5{2!X@8K8)a=3sfD)jQqb`ky~>4ftA# z_Y+~R2*27hyO*$A4<`9}cN4LMOWOp!jmx=rRln6vt1#zFP8Qk*ZAo#vtO%X1%$dPL z)cn&Ar|!O{>tb2jGmePej?87OUJQ8Ae>v^X|<@sl$ge4Up(2 z24i{LwP^F@Pl7n%w>gs6%;IvrWmYkd{q>^Ga+Fe&oJuG`DzoB!bqcFpjtKYYVT=%7 zOK9b@b!{?Yausjl0rt7q5^OKO`o`8X1e@kP4&@eM$>MBj?0yKPn@-yimi#coLV03D zzd6e>u#)>C+!l%kkAnx>9yCJ263O|Gwx?w>M_9XSy8O`IT`j%8Xy)U6EsbSmi=?39 z0c?hxJ`J|BBg1mK1!u24VZv>-phREvNjaYCxcpJj|8w;MKj2~Yba z7lhGd1xvAjYL)WZ0p0{qp&7@LNwU6QxViCl!A?BYjaa`*PPT><*_Yddiex@P#ZH6e zA`cdE#lJVtf=R;BME#(FYYD!;oq0Hs%^u(-y-GNijXYjfmb~UGHJuI$>j=Re(jlZu zAR(qv2}ZF8fKaRZPX;wRnQ_hpx2Fl4N)1Gnha>Ww3SpBFI))uz*g{hSuiK6erxkR! z(rOf$(X$EG1?tz|utsx~-O-W_C3^HEX{~kqh$bruD}qA_81Gr@C6%^w z2CeFad+Cx|%2TGs>6-3Taq@P@%`HTq4WwI?y|ZeeUyp6{A5|12WYvSZz(7LLTCP*q zf9%BZ8)R@e3hPNW#RrP*M6&dg^ALZKv^hebKv71Nh*%JZzW;lM(eFTHo*7wj zb!&g+BDha2A(wQ#pUyI_{7wptvc4#a_n$SDIo(^ei{l@8A`Aj`7Ddb5&HF;dRLEHm z@%9>z1_xu9)$`GC=!2z*L5;Js5jG291Q29_a220cUQQh|rh zKmBM(0&cq@t{)`DPe3B>=)YnUnkO}NSXizU>$D=gbdi94 zA~Q+s^7O--bc20gj}4`{>q*zlWMN!4Zy1+lT$sr#1iJ^+=)5X!JnU`V?jasyQ#my0 zZBEis5cC__ z!u8t^9NuP3ad?*tDINB#Iptd?lL-bv6+VmMhVRCY838L2D$#pG{Sf@|yotR~Dx?37Z=GZli~iZnDbW1$!IMsfYgNk?}P>Ib^SLRH+|R*eZ0v;Z=6gwDWXdfrKA-@-K}nqf!zBf97k` z&hY%I`C6JHyh>3gxy5iJa=B}O#x7EmF)gvZpRf2T@`X~SJyHoZE@$f>mZTLmQ_FL|TZ)4Y}Xm8q7=MhY1>f0mqsQn=kyP`{vRFnJFQ5CFyw+F}GWejk<>iH%$=)gZ@Edz#Bh|9g-W`d%P2Fp<-!gH&FZV)IRYfXwXNL{Xiy5I|A~FoeNw7 zg?o=gO~_)l0*B9%+((EiuXZ8+(Tr&xGF_3>5Wkux`P2nnIM&Es^^ZeeNIL`JZe0!* zBjS>HnAjDN_+oMzRaeQj61@qw+SG+kE)c*ureML>O2JmCjOuE)gT)xWCl!>JRE*sw z)X1?42wY{<#Q z5*%-!qh}_zp_(6ICyN?X?IhZ78%Nt`ZaCKA1?Y#KA-_{z_qQ9V^3Wu%!*(pre(MN6 zajI^-+&9Q31wZ?P%!aotN7K02FU>NS&8kKH#S{% zeZ2Hoh+mf+r}_>xd0f~l@^Z2zWNVk7+D6B()GPACLHE|v{hO~2BK_~5G?1Sg`*2J_^ruW?eW2t7 z#vGskWwiLBC@}rh>ufL8sVK#643Sp_JiJ3OMu9YX$cx2QcaPwFC{0`s0mIfE4T`P; z((AqfiZNM7b^zs@ONmLJI$Y#fDVm)cP!V<$u((3$cj`b6;K8wAXaQF`;j1wY@1369 z+Nn55vuf7s3UqvD0>uXjT2c6calU2+4i8;tT19DNFGv82S>eI7Dr!iX7yUg%{dqpa z)(6M60%b(i?Qgcm@(ux@)eB}%p^ANtuE8EqI;fkl*Qc_AqYd5Oi-M zx2sK#V&ZFQ+XPl-{aEg`Vr)WO4ehDY^>t#dLK*UaXBGNlN@{k#TQ<5gFv~&E;qhy zGL=)!nnu%LUsJkG(enBIHE#3cfmksCliIkuXgdFZE8zMw?UOkSykwM%PENny5f|-U z?{6o{30uwFePAMVrJQ7{IO<624*p_{ce7tYwM`rLgNyhiSaC?GKm|-wyY; zfg>gUN*+O5ylKke6`TXE2OVAXZn!sVnv{j;h+%O1()7nJeVHlTx6sIn3$|mdHTnKZ zB4=!qwV-Q}+%+SI-|fM54A3n2NL6$DluMU;5(bYgeS{H-gpbEZB3a=rtJSaU7vibK z>GBZyRnwhunnHGX)4E}!PtCMKd{U^;k>p&g!*12&N2_nsMqVT$F1a@4J{1E3^7@zr z&FA7JPoJiza$&c-NER}r@Yp3}3{PKzI3Ra5aqbKMG%I;~F;v(tJt{`QZylpUmR9Pq z^7G3f0CJRWj&me0mY@h;X~>)L2sonV0+2Rolb>vnYb}_bFgG?%%d|$mwW3+@J)3v> z@!-X|fl^8XP$jG)3Ynz@O2CK(ltLVIjM&)#H!u%eJv%tfYsnMS&FbP+^xrfiK(Lle z^%X!oOgLJnLE%r2(r@&^O=y0vABXjLsC-XwCR!N9@D}LYQupwzU>6IB!a%3?T=^oE z{yexu>%~W9@spT@Z?l8V6qL-RXaT*n#;HqO{#w$KpS1!@mC_XR-(a0mp(Zw0p4oij zpLi+T-rtUzC|^Mct$PpXtDoeM#s?k^P?}nxLkT#80d(3l`pL!nPl5|VUw#~}_C2Y( zu?=`y{QD0&$raQEvUOS@DkLJJ@yB0ry`58ig8jHjR@xUAWG72&4OOSM1qF(D8^ngb zC*w+RXoU-#_$V0$CIgKe5zdUSwC)?X0lo}p>+`kRZ)1caGN7Q=ZXyW(>;2#=P zZe!EJSe(I5zTXIJlc87HBt6j#C~|T%v)|u?fXr$< z)h((}IyHWtooPZ)>X)7NP9f6ElOAGsqWl?`MbD%ffyqMm_VgC6FHerf=_)JRh0Gqu zbzqFjVI~)1<9mE(v@>g1ju0JDW{eoE3XwBVE}^N+5(+g1KrHv^A>i(mI~jzo+Ow1G zlcFzlT59XkX038kkx_%r7Q9PR0D-f&0x8~1>{+N76k#31od+OF+?SNZ3+^J}7Gs7d zlZM`QE%K!6Y`Yo3_~ulc1{+2nG(CEPnKZms&nHN3X^slb{eCL^$VSssz^|;o3L;SY z><^fo06!GPM?*elaMYt+^6Ia`(6g?fc4_2K_Ve|1GZCAsEZ}1Fs&0X5+o&4v=krz{ zYqTb1qDi90X?I}-kI(G5fZ9qyfQKW1{{{8-e-Fh5AQV$je&En9DqH~{bQ?Ann`)!; zEU9oNGMrPp#qqc(XU7Sci*H;1(xMoF$TB^@e>Tz}z?*qYi-bI`M6=U9&rlf1cLbyY zbQKmur$x<)Mf%_*`j*hA--n;0Va(a8jdSX}B4XEFac5pl!7wgvzTAp&?m?Titx#Ni zQvzKn>%0c>BPyEdrymJ>UKvT-vz8QGtc zEy^nK-f9iN!Y{J7QxVnnGlo;|b>iwNQ!JzCIRsqTg@6kWep8@~U?fa$lp4c4%Y5_S zuMY8}ugHTmh@~w=itpL&eu(7Hm7ZwdlIfldpIzO0^N7?6F6Xs= z74MsahNlwei+4%+EI%i_sskXrY%zcbJx`}CI+fwv;h(ZBQg=YEJt#lpF6w{dgDAxj z!+>f^^WJ@u&yGzoCzbsjTXK569%6f;gW$3N7^mZ25GWk8^wLdloR5FKkOySj-HKA^ zAs{qGHC|8BC6}%O@GBm;L2fSg2E60JV2mdN%Bkt*E>6!U*17GvxdxW7I2*ZyKQ>UG z`b}HU488}rwk$L$1L8jnqF=@7?yMkQy43*CmiXUqOdF`QZ-yyOIb&WH#}#}c`(7L) zNNKM_COsr5jvYa}_@cEWJihpBMSm1($!EQHy0zZ(C8P& z>Z9F(tL;EEUa%UMWT3d<7vxGac2lG#l+iDmU5f%9B1~5qKSYWdeItLP_3S18E^=4~ z!B)UQaot){tH%QB_?+X|_hbl}HN%kV?>Kjx-qU{Gq2o`lp?3-0gsrzlR&Q1ULH#zY zS`^uO9@q6PQX+|h-t6{d(g-)afS@2EiCU>n@}hO?n?#S#vY?=#=yG?Ya`XJJ@x10U z2LCewsE_lDDhBl>Pc&=8!C&LX0am%8!Y>p}J!^7oS=9MYbbTaodJr4 zdI|?oo;GA{{C**MscKBx=x!Zv;O40DWT=J>SMsX#TQ<;lJN9#TpLf+nThH+D-2koN zj?QftCxV0g6<}xSb7GYEK=ZmtM8s;BTsb&90#lrKDJYf61;LO|IR1D57!vGUBO7Qw zwdCK)r^ci9UO|HtMOjc^vN-F|x5*AqVgKtrvotkt-Hsx$Ut3l?TjC7*P16Q$%rZtxgH~#Q+KO3e8GD z*8SHr;?)yDkNw4AAKMYT%j3;wMXaGuG7?Z+p1D|(-?rSsTUvL{rd~(3)|wnNqA)5X z;E~+wK`-On^}4ha&F^(pC`BZ_bVd}2F&+#lqRZjD6eqlRWRpv17z2$c9Spt*;%hw_ z(tKdAXgj`!Q1u-)0#8eDHWLv$8T8$aeHMz)9_Hrz%UuE0$GGZ|Yo;SW`RikZHqo+j zbK)88n2&^s^VwsQ%T^(Fe7TebvI;p_S)Hurzp5GD3QGH^2uBT-R88ncU_|+WxFQO^ zThOpibKy1Itf)~ip<_v@fKK`lIyei!x<(G9eF;#)RWYQAiCw;Am)}`uP9wGjSGZ&ZV1%Cr2!6Dk}a%v4U zxb!p3o1psVV>XytjcTOypY{t-Lr16fSPUqHRj{i(lFHCU$Ru|{c&Wl`*3?da^^W7_ zhSZ_LW;Hmv;{2PhbxUwA03dJfw+&3kV}Ro5o)u1Hl>L!9;l~R$NWB&eYy#*)rAmZK4gtPVyMWf$dL>8XuHJWt1&ste^-v`8b zur+Ny?Aba1Bb&c%oectc)>1+Sqk_$^N=)ry{luv8qan$3b)A#2HoZgR=mdnLfShGbs?>C6C*d3CM`uv+fe&;ylSpD5@o$#7a#wQ^|*X zQanW!*Q=0w@Q})DBeT^bF3qZaHs3P&X`d##-N8FQqb8@7qlF-L9@UE6Oz17JP60&N zA5Cn*wjf%n3^fQOx*8c(VJom61lYfY@-mM$197pG@OVKH$u2kk7rr;TY&BiEWnzh# z1u*m13*1yYi){dpVSf$MiFZv`=npleEZ0)X6^nh(8lVFu_XSv5S@H0LSZvQT?IB z2^Eeug_5--^C@43JD_}vK)KGH)udm>xr;3E7GLR0sSXa@cHTTsii=GF*0-6ER)7$7bWc30>5Q= zlXX6kfXDygSwfEoFS(9o#VN!2K(=u55aM9}Ac}f}m1T?I4R3MYEVrHX(tlQzveezG z_IR{2#OH5kl5BNXIgzJRmAYjx)qP=;0;sk!u^OXV7!g?Cs?66nct2%8rqGR2)-(yi z5xD~MrRC}#+8E%Y#D6*Q4(1@FC`Xc}Vp9hLe{3iKR~kD1P~I9mQqe#%;h>B`)UY=6 zXQ5R92tZR}^1SeWe$=S2PA-~cG+-1+R zo~atYEF*GsQTGv9#^6gm*)!4PG%E=Z^xy7*#7}XEWw|!SZj7fS2pVu7JtY?tc^W0i z1ZJ68Y*+c~IU7;Y#|atQKm_}dKvNAvUT*7;Q``BA*r$$keY9l2_RB@8$zONa`!743 zdBK21K3r5iWBp3o%spEdh+Fk6{j}mhc~r%@t|^6srwb5dSe#@XhO|BbV;a0kOw z(NR2mWp#Bu&X?;$0qo!U3MYwOgCJT`=-eDv4m{3JV1@fD^~{~3+K=Y1fQ=q?drULOP`jZ_+y_N-S6Khd<038RtxLQN-?32pir!z^8N zsZVqXVZ$dcPtA7NTWuo1@zLxwDfvM^RzYT3*OFuJ1X$CzdX&C)nu05FQ5{1DI(NQl z%1CC!ts_(+$&Nszd`pyg`>HE2^(?*L<1^4U>LvCG#0z7=6gkcWds)$D+wqx_-tNb0 z8)Bqb9+0hr?L2xnVScdG`3m(8Ha51>XWr3wMDKsls7N7CD{M4hpUwu04&%H z4u8NwBbIqHvv`_&V<(ZGN6l(wmFz@YAR3UN-DE06gDoJn_mYH95Bb2VWYf4Z4OC3} z_1A&Wj3{`Q1g=>Sh=q}plL}a zpDJheTEfPG5N`MtB|R3*u$H*Q_+V7oKdR zHFX?mrI5}2-yOcAWl+4MXTktud^%3$v4{lqX1`@EuBCG{8dlPVCfkN7ygNJ+HR>1G zTGhsYGL^8|7KBOFp$1LlJeJBx`a?N|$3t}=m}cYKtBBY!+}tV&?}iB;{NWXhT@NDFRuDX?G`% z2ogI&K%Dzl!+a=>eFlk$P`}q}yNJ;`PI;^`CwD?=!ZepzRCN~@3fItkMdg2W5N<>5 zcb+*_0|D7sIY=8-rN8F-Yy1l3RfWDHJzIDFs&dkwbH6iOPu?ys0mwD0F-@OVq0Cq3 zW7)j9I9#>&HhBGs|HpzRVW|uMX5-R8im*D6Ntl)KZ1%o9yQbuM^C5Q}c^b5Z%opi0 z{bY@_{W8AteJY&;-{Cg=(khHL__`g6M}UmS zL=vF8)xk@}rc<$@CQ~&QSC5kM^9xIsQL>?8SK#K;UjKd&Pf0a;y#e>PoLCy4Dy51N zghj;Wz*ukB&c-zLIIVaNr+#krXbV@-ZQgZq_*{Ur>Y0!ZMgMn9By=Vq5a7G}XCqWTc*vc?IiTLo)b9^6 zE<*{5D@!C5hczC_^f`cn{%2+g6`2<+|cbp@7oXHVu=Xd~+5PI9E z@BXVzGNT>+VdoFa;PEd@h@M0yp#Vgi(TVF?eCY*E1yIHROQ&M4I8db9z!KFS{p}qo zaeStap})LPWK(JH1YFYLnJeAfZM(F_8YB9rwzXVN@V)JAPj$Wj`d$&fl$1_^a-5g+ z9pq>9`+E(rd)bk1x$v-w|E0N9Lmcd#<}G^O-y1vS?jX?)AR18t_aB6f4xmOj$M=^H z|JzdUfhh}qGpj!T^PTbst!O3!GWsE4sL#(cii#93Pj^}S;yINY=thQzX~Kxuqte8^ z&Gna2z+U}hqrpoJL9mMP>nkSlKi{E5Arp0*4n(XfKp$NpMM(7?Hra~z_Iq;s4-Uie z_Zk1CZ&O1OF~aTrJfuHIa74Dm8v#u_|1{CR>^Gv>R^E@+~j=Ftn`=D_CLNv zqP6?aA3}D0dI!mbQrtEloX!7X#(!E8N>Js0{t)`u10<9n*W=PWmOmfwe_Y-l>&L?z zx%Yqd*m!sozdEw>|NTgRjv^)XlKg+^Oa8C*OHn=mhwlGvs>U1VpPl3Dkrm5I`H5;wo|1s&J_Q0Q*)mpBRm$!uGH6t(mB0%AG9sa z{P|k|RoWnqg6;~0F!U#AMr4mOa@v@#$k_o9@*(KC)3=qJR0-#E9++*2Jji(Qj{UFK z_M60oQ1Xwt;JGBM_IM%JYiTR%|%|beAzG5G2x| z;ijQh_v0^1jXywO&=Q;=u$YtX$I^1%$+-f&^JjztTs-fGBln2HW5aKvgS~|K>ICIw zJ<*S|84OeFoS$j25x=MllZgJ1=&?Ji{MGu9zkY%%G(yMdEA3Fmb8c1ke_WsdOh)kQ z1ntx+!eN4--xR@D_q{?neE(18rcpUSK{V3Uf%UHL)<8L|Um-+qeL)xmb7D!!$p$u@ z3^d2>zg|$YQ~Mr&K@cy+gd|6S9zbT-gFs*AqsrKyCy^$O{S2KVPM4pB!(<%Pn-H(;&mU2tADiwcZE5!YLL0w-JS=?ODXImD_2QZ$OXH@($LDqjcKN`G9 zyH)r!pJiLMzJMHY)s(>r{jYXFI8*SZBgJIOItF8kip%fCrOvQbutdd&OQ1S+twJMU z)Y`QLYO6zl6G=E;uErb1fnE;!h-mkZU(B5@tI8qo+G73TVTFxw4lDSZa3QR9c?HzB zgZ+t1{l9kKT`aNbG7T=#U)H=V;l#68(04Q+ikf0;dQnnSAUid&o)$~ka+_M&yq}Vr zWKp!3N%fcIX@V5MBvzu|iQ$Gz2jW(+DLrx~l9I=`EK zSUT$HmL8(J?ONvcwI8Y-ZB8)gHqZl|wi|MkhF z%F)*X`R})PLiq~nei5>c-QT1jWEq^`Ta%wHDEawO@>ZJvfn^VoiDYv@1%~tBv1jfcu|deQ6%#`)4E!HZbdDr#E+~gs=|NI zY*kL1iG-5pDczR(Fd<%kOWTJ_N{vvH7n-}%eEhQCEtEs=lhBwV{|E?tN}W`oNTOcU zF_j`b;sg^Px!mFXiktI@!~3s`WO@*=|KM3DrnErp6XRkL?H2IM1artIV{QG2*2&`V z!W4Wp{C_dkDr2cy@G~MZ4I!76FE4t5Vub+!=zel-3VnrmZ75OcewS8sc>q%oDWk4@ z9VXty1^V5Cf=OWd+#|;$#iw@g+OqP)V$sLh*{>A0hhEid&^39Ko2{VpI5D1MMG{`y&^x|TKjgF!Q%&bN(&%-y6$$6qj12OmWk6VKR*>S~bB9cDw)28J*2w2a& zyS}U=d+Vt!pDz2xm0xnEA|#2$U?qvd?siArstHE*<@B^Mn(?24(~4XM_au2;$ti{y zaQlaYqOe-Rc_1iQ%?QNFzm`*f@-I7{`q-Gvv$p!~u(PzuN zyja4rx;Sh3e$mkVkdGDrkL38z+zSslcIh`;JB>vQO@M@))5WC_QW=zh@4O>8mq8N) zj!)IH9?0zKj&}fS&hB-B&G}i^%?En5QmDb$ zBR4%HR(jsGe0!zesAUF0G4l6goRNXzM6UUePaeO354mV-dl5vI=(sqd8cQG*Pn(h| zAN~!xPGeY08hLEW1%|5w_>kKRb8C_QF#;GY_bzfzd*fgNkDa}}((tQHUB{kG5-WzB z^k$>Y<+h1#>MG6rrT+BwB>aJV;audlgiAaP*@6!ddC|dbEOg;;=ADHBenm2?Ef1Vc z{inX<&&MirFCIPgH7vUI)FKm@lA;UL>Z^?<`1`8CoJ^0AeDH{(%ww}%K`%v^)!r*1 zz}T7Pq`KvgB&pc`%OR+GLGub;Qh?mP+83Ymmic)SGpWWeX}CY*hYKVZB2Kqp*DpwS zpIl>$U=ho~k2hHqQaA^Di5wNYhby0HUkfWKqzDj_chk+L|c2j@Rkbt+8Y*K)9)mCKD@fClJQAP;qwm$aSYLTHXuv-mTo{`xe) z-&sdXeRNB@Ea~GWof*UMbbwdU(D9@)IjKy=~8*J09pEt|g*wj!m)%_ih z2AH4$8SSry0+|2y;Tfoikmt9naP`22jaS!8zEJ_uGjjsi7Y zO`{mH4MhP*afSFV*%T8~Mbr}PcNmgy&SIXSO>=;6dc&&`CI|eXcsKj){yxlYBESk{ zf7f7t{Wx>+IPCcT44=m_&$ek=^AYfUGc$@w{s#9`G-0Z?kG0d|fXSiicC!wg@HsAy zZ5#pn1M>eh3TTc9rw2>?A|`d$gAJ^SIstjUgx_BMbCQ&@P;+;y7RsXG`U9C0|4TS-yq?zGpbIUAT{<93P! z-(>sUUxk~x|4CCHqpHW;ITEklI z98)UN$7gWB4{Ogr!T7;EQ2(tLcy#lrL^yOb69NAloc>zSBxpw0hOtR@J}K-1h~TNt zgWMl;iqBKI*|=Owu4?~!s#Q`h&w6^&q#4b4`z3EVBE3dw^PrMzT-={m%Sqp5v}&y$ ztloTClen*&`k~l6oKsU* z7IFt*#0o@lnn1_gBV*O*1^;;gSP_DoGGAmgH{k)v*p6hZ~BfKdiBZk839^(>I zw>G8>0LZ%t9Dg zS?9l>*{^#RAc{F>Q`3$ilR^Cr7)y!gQCvv}coy1zc0UWB{6yp;ZzAMb`sj-ccWyR! zN4?QnCitE|1jQht>Yo(AR7yucoRZH?B#%|jLhx)}E47*rzYq8yKQoXE(5T(wCqVyg zI{&%fpFsye6#C(EEfUku7oiH63ULNtbTmx*&Vy8JZ%(&+>)xFJ3BwR@fK2<=ITL|k z)EFY(iPo%oAkP6D&~*U9_Hbw3)$Pf%>YrnWqEKJbi&$Rx(8nf!7M1%7vcC2A`@6iR z%maPT#etYANc*<~|Lx1sL?36bjsf`k+pp-Iu0P63hk&VRs*|nJ)MR?CApq7*1Gvdt zTYw^CqDqh36KLQ)Qdy<;MdG%i1C@9R%WOAIs}{hJbM(lzSl!=$jVqX)Rp}<}G6p6I zR@l?cjIK3vG(@wrI48L8<9 zs^F>4G5^-a|Cma&bXL<)`7{=h6h=Mjo>1h(Z#{1#!7!VcKo-NaL3`#=yU}%1ykCgg zcV*Em4vUl|9ZQ1W7d4W@2moY%FxUF4(UcJ3h0FFV*i--xwq<{AI2~hWS)cswM((0v zG+FvkUc^ySg!eBC`6NIQ1HRUBd{F&8@&CV10STDe0J}inJt97^1hUUskVbMFR)}?TFcQJKSKlTuQ z+ZSO?AP{OGUxWP{g+`{3471Um@IWx5f5bv|Uta1P}8c@o85=Qy^{2&t0%?Ta)Blb;x$Kkytis-ZJ$%s#~ zQ&KKF5RvtxMP{*5tdaRxGuh=3Vi4d9k;$WxF~$d3O6z3I#zn&w(ix7gE6Dk-%tgCH z<1^*HZ)SetL{U>+{cS>k^TLW1?tw7&rI+HMH!6|KrCJ&GN(s*u-KC1qQD&V)pSzuQ zDk37NT}w6l(^)wsF?Q7ZCU0&HXVTLj-jue`MajC(Elj-sTs={HMBVpPWa!_mc>?VQ zSPA1L0cSd-e?AbN2JObVpwZ`NN3Y zWCaULy|v8+m6xdO>JMS+;qTs*)x5)PA1})Xyn4e|;j_ zKsw+nvQ(TXeqXF+ghs#f^v3q{`rZ;H+|qV|12xAhHgs%^4Av^?hU%Qd=|$|l`5||9 zAM-BikM$wF0$g<#qEgx0&M+}@Q?dDqq3IUJMN+7bg{8*W=QQK_Hqze@yrg?dGW%d+ z=h;^I{=L@Q&;inif)npY+$YY@GuIgOe;^`I1i{^$3z7R=TM0=w-B^sqJUf0#mLFR= zCgbY67E&LgQ2;Rdh=p&alYDJc2pYqA1r{3SC$E z_amGNRB-k%xX6EdA?vsPV5H`kH&H-h)ZYY?$`EdIlb&PPP@Q+UVt99Ss;rjJSC{Ni z%Q0LNbEl(A&C)o?f-TMm_#I567(_$`7uNIDI}<^_3{)QJ0z&&FhcCU4t*d{mM+Ye5 zd|3~d)`uZJ<$i5AngKmwQpZ=b!T<%SH7&IQ7(ZHv;pV>ZpsFeA%f9Awoo6err3 zlW21I4y$KmenWjJhtljZ6zp#>wi_?#qhBSd)!>-FSxmi9g*ttHZ37Q4plJJ-H#-J+ zSXr38#edf})tR9%2bu(L8XIHpDD7pZK(5vYlbpom7R}`CQ;iy8@vVp!C5@$hV36|dH;M^vWzgUD5s53;l?*O z{e3~qTZxQD)G4)*h-(<^RS7sGv~i(Xy6$>&`&_DnSe+2RO)njoaQo*pi_rAD4-i!G zWP<)XuGVLbQ{Js$dR-P{W51El`pU%?^PL$axU#UtHjy>Mlx?xheI9|g|6@{k0?0?N z1Mq*F{s39ZvGe8DiSw@wYujdtHft_}s@Ok%dB!Iy6PFvQ6X*A>CLM{U&u}sV z&fdo{2fww!7U8^Uiz^}A&OTo$cVyvuT}}Tp@^p9CnyJO7_S82G5kWzOb?w??M&RUx zp)7^iWU@qNSB_cMb|UrYR9&skcztu?{noO*;pnYErbQ8$GDBy2`{y?deJ_s^u0lVV zzpbZo5D4h3t%?=P{_{iwNTGou_{8;G;e?>Q?JFJ#bw!Z?4ld#kS+`jsMdfwX?03n> z)v%^D?>|&&5QG$zbm&fFS=&xfg87d5oiO!_=`gSU)RvV`Kp7|k>Lw@ZMl^;$+yO_n zSy5ZHgbl%NIkr&L->lfoJL`c(j>>e=${nsQSyk1iEWXcBxU}jTH^tohV6gy)GFt|Xni%qt5o;1Tnqpf$ za2F`VXZk@YHfN3D)r%O#0$zHzhXy68^I5{;tF-Tw<%0hIRmk&5K~s%yPA)o_8DFn# zP;b5Ocu?Q9H;>G?QfJ??-p@np8ZL`G?<2yVO7Ap3k(=}0JDRxfx;Y@PPD}UJ5-Gl7 zb{#geviWLeB|Z|$W#3>Yi!Prxf4to}E#G?W!WB?R4;A&^r#)<+8&Z;AvZX!G$cP+s zUiZql5D`=F;iS@9p@Vs;&nrDvXrHU?Sr3v~SO_Y3jd?RxICMcuX1#9# zS7b>Xj-ual#%k3sM$Fz+ts7j8Dyq+7PQ6;VTbXHW-R^VBZ~vxbACDDTd>W^*BS$BM zMXhY2L{wydS7L-Ff1~VycmK`u@bKbVMe&bAWlj{WZfguQFzOmh*^3*(^ck zl+1Ce8uGMTNP78>RieR{EMAOBjRWdaTftj+@SOFoH3ZuHPxCIX8(~;2eYJ9YWTIsc zq~mj@ReV^9`${c027JqCu#R{j|9$knmx0Ah&#G9IZ+5G}`cftn5mrNv)ntZ{qeDlu zwog%IQgI4xXHlyq+qt|^@a#R}wxF8Ia(SK;!Mi0zf{R5VvB+`kwREt`BnnZUZmd4-t-f{rZZBcg!vQB zwxg%rb-a1*{mR^q4zr=N7>ETr+PRX>ZiJY=M3t?bjwhDPTi%tMTT@R3ThMvC+}%h_ z2bU6OvW(oT%Z;9~Ll!*kl@)r!&h^NbG~Pq}qP-3&q8AVIDw^dDYbny=#yAkOsjPX8 z&uz6x@l-}cN1q#i%C0y!$w;-)Qs=ft)X>#z5rnToLZ?qOEf9L&9$V%= zmd+`+U^$XBFw5RZ^5z{A17^*h%=oZ+S#sxHU#nG*W#2y67yu zw3qq=fu!BHrT+h>Vb+LA;+& zEu*koE3<1XDvvGRLJ&f){si2uay~~Du`9l9=r4Qt;@eV0xAQ=fg(ZP>Qz4GZ=4Sf<(v??7jaj2#uhN-SSh@@;!C?U3YzGe^CqU<8vVK^jKbau3n4zWB{gi&_* zZnlZU*h1l{{O3U+;p;O z2{2>Ji>j-zLe&Dtzpd;1HtIsI5mc&#etZD_T9 zrqolde6p`vrVMEsHOrMmPnIx=*@{xEW%d6ge=pdeFyXl%aw0c28Y1}!aQYSbba=ZZ zOUTUPur*9T{6JIS7n8yB`tD*Ro4#I@DzZewDg{Ly4|ivFg>(1d3iosk_YEO2mpsA6 zoSbg1ud2czcR!5#f>eExxbxC0w4_%Tr!>nRCeIcKC z*lZ#KNQOI~lUig~_U*)V-{!E2OCcX`X`-{{!$Il&@EL-7q#H0)|EI{1BP_o0#%7P4 z?T$(#VbbSBWNwb4T84*Gc+*_hGrlQQM*U$3KVvG_*!G7R*z1N7`@E?SCTIZ;i_^h+ z!GDv6l>#C>HvNQSGJn6^&Pr5*ztlp8uu&-eb3NN+498@7%(Z!An{MtyEJw`OS4FKE zG*o{=65t5cUj{5>F;;r)VWIsK-YFA71058}EPVE80j`_LLw*p+XCL z^&l`t#!k%)&GVWK0yXYGRx?7_XfB6*mxyx0ixC^6y!AU2VWh2l!cd1gislYk%gh3X zzE7A9ujn;IN9{}jk280~w_Bttsx?hM#ETXCMTUr~66IXU-6w1dEzVD9Dnh{pGjv&f zk>V-Lsm&LXTX>0!e{Kh`YeNc8kh`6QppJjX{8(YaH^HMt``PclSG=EI*O(f1fR#tY ze(`xoMlvKX{{HDJM$ybX>zi${@XF2rj+li4=OJmCKYtM70d2Df$q2sIvLh=H6`9Ry zI}4Y;V_t-2#op{w2j=>Nsw`rrih>Dj8`PT+TX(M@u{x?3CF_3jC(0qg2jo>LIAASc zOtkeN#~beE}ijQ!Y)4-v$R`0WL@k)Wh#%ye_#sM_u_7%;@={E#k{8vR14a&{p( zoTX8->;wgVcQ8@1kQ7a5ADmuM?pLq=C(RD91r_wnhOZP@DCzr!`DjexlCHW8Gg#SF zWWaGc8Ht;`F-*+BX{yTBDI*A|q9fhIK@)0cn1N%*EKYH-ong@8XPuC{DJVwLHDKpH z%*f8IDA^kM+QF2DSyg)VoeL8ZpCh2(`4xS-GOC)3rxmR!X@iFO&*72+6%=^*&rh-$ zekVO4)MMvAK3D6gSbh`D-W$_c-E=5H5i6?6_%Ja@`W?;2K4k_sH?>3zr9uot{ok|! zAlKJ-QP_VtOASNZA(}=>GXG2|EsYCiZzxdwx|KI{RzQaxRqkIk;;mVc=TNMhXEmh4 zv(47*m6@TjJ-2qv1k|vokaweB2;Q5^72EA;hx_oVm?YBl?Y7ftVFtEro;Mlb3_CQ@ zv*>Hogw2cxm&c#YxZF`o4l@Y-*L$482O2GI=O4?MeuX|$Bv5*^OXr(}Yun;++r9Fx zdDq`}hl>;$$;RJgI!=uzf3J59Z*1q+C1_rdw4I3h&+1vH3xBt7ZS_qfZYo-3n2<1~ z14V8JmPHwLvm;xCPxV?xm#9E|Alj64a-8;l)6Jg;+aOf+bmCJ*WjghaL1!|NcqWG4 zOm>AU@#mut6}oX1jbtMcl9AR(=Elqc<58S@-!nP)^(jhf;k6&Yn3 z>N)lIo1baM0%|dsQIZZ@ml8ED* zk)Aq?w{=KCrmpGs?1&U(J5@M*^uv8~(+XiGs~8a`sJx`8Rk&LJf{|kzD-}UPV_*l7 z!S0*3dS9NV6nm+4pvq*9t&Ij$`8lR}JkO?|%1z`xW@p^o6z#^V*81e_UkHfl-5hzXFsA1x{bn1QZ8B@}!GwMq zsSIIG6Fe_*=G}lWG{tQwt`Oo*+qToVim68zE{zLZawW4bZ#L?jj zk^61f)vLWpsgS@H4aWX;BZ35jfjMsDd@yl~Xn%3_2Er$t^s=(+85)vA_a@PC*ST*P z#LdmApx@)ZkGYA=3AKwS9Dy>iPLL)@m?8)t)Mo zaqMLI=b7X|@;q}>oLnXOrQOW~bX`V0antvES{4sIkS&XKK|>p0y3!4c4iHK`6hj)R3T*WyI-Cc9BAa#ZV;donY8+uNZs!Ooft}r=A;CoLlN~ zW?OI~U*AU6Y@Ckv4>1`kxHMg7!JJHsLlC*DD(Q$AAXiH45({!oBqLZA*GjJHXgl8Q zdbsIl8oo8MwnJE8!ShRx4o$=V>iQ6Lz*yR>i>M<1Ivt1*^nPxXlTR5BU%p9)=I|C` zevp5KLYZ#zW+rukZt%XTU_!sZ`H%Mj0{@+61!$^V{4ss+iQ$*AJ*K=+lK*Kg+AP?v ze{x!qy)~>R6e5=*>s5$2KtPT$twWxixBNy>J)6I{BR3O*OA4ki>SzBDS(~^>SJ^- zUTs@T^3lD2<+;c>;k|}R#pkG;qW=DO9TxDxhJhB(o@yYI2RDnhgq z)q-ZjTO?#b{^>2w3O2N*&9Q>w!f7I5|F+1c*r3>3muv4~4-91mG~j2s?mNqyX6eS0 zU5f59LndbOpm~zxIm-eK8ty;1ORJHalkiXzsk>xVhpS>&astM0Qvu4-;MyXlg4e3M zYh#}kzf$nYO$BpLZs$o$Ws_qElKKfmLHCQh{`T}7fCjH(Px$OF@4{QPDOLCsu0>Q` zOB%9}LOpEz;Z75LpPNWk-a+t}DaC<@jJy4Np3{<~TsA4a9Xa0+J6{PgSWkqnisgOq zOnxBd#N~9z=`B$>`w*`7&&#!j2Iw|hyaB%c;x8$;z(A%3NRz=jp^P3SWoE{H0%wOF zd0(zLUxO1#BfQ4EP8V4}jyQR@L8*S+0R1v z2N|RaEz$b_-KeI=2z|e>aP^;+0`-sF=-8V#kw;Da~YxK%?Yw~dpC|jdX3=8qGicf!pFip zf4+d#4wJ14qa>%Nb$+JxKJml76@LE0o1jy#G5yah6;et%3ttr$G`wnTMNVFG!e*!O zxNNluR%tDtpgO60$o$Eeo&fw5K+kvj9z-kjkFTH#m@8ubj)}>qLuQ2<+6;w>#wVBh zep7pqMgi+3XXx4*Iq?4i641lSHpc+y?&1B}!IB<8%y~EfDDS*@9C;Mi&=&R=uENmf zQCaUqg*;Kz-|f>~v+2N5z)8Q$86e<~taK4}vgx=b#FkXV25TsE;l~FR=^YkZTewDD z)7Yv)eIo~ljihMny#^c3=@SqTOlwQ1*MM`?Lfm5*Ti9~_t^GJmEQGwyQbHBDl1s!; z4_))&DrQz6EDr^q?9o*;eQQ$67EDY(UG^6iMI}Xqf?;x05dn#mLp;X)H{Nw!l)ZS9 ztkmWKqoRC(t&Ubqp&%^#A|TB`nzTqUL56zrCad{j%X4&|#*$j?%WxJKyG>Vm!zh!3 zr=rDq>ukeJgLgH=cKfZMhhfZuKCSt_T>{*(ozRR!6{Kcgs$yAQCi0x?X;e@X97PfV z4C{|>57ALU#^n`?a;%!%Jh|OV(_Hf`i6tDtXTKGs_30W~WW85|L@mT9N$C3Bma4&npvY@%` zhg(y_CL$=+pWVndeYi-{Py?Ud80K(z`mE(+fc$As*Zp@9ckL={k=WqldFQ_}i9w zr8hb?WFZXT0se0jix2~dw9SjH=@w%C{E~$atyV`Wc0w`iB~F4Nf@1J^z{e++GFuo0 z_4{A^wH>>I-`TOpA3U{{P|^bZ+R6bm=;Y+&)TEp!iY zz>-{TR1ZdV;g_ExfOG*|n{pCMuu16#PMNoaSvSJ?zUy$R58hK6306d1pQD|Ll-H0X z?t9GRoI{y`=$7Dvxb;{B38ghsktrS4`k3{!izxO!PIK$V0Fm352xhb411bF1O{u-l zC5c7RLiS0CZInmR+VP!hk!BX;A&dXJ@S0v3Vhq(Q?% z8~FfE5k9RdY?(>|7Jk~MgmWz}yIJKkLo_Gqk-~cHZQ0nF^Ygf%DhJ#0vN-Wdwi?yJxvOuM~JM zzPcdmTmqCOUtgB4Pi)hs>gww=wz}_&7AU`sBIH)I_>z_G@_m?USaMgJK=6qai1jIk z%M~`Mx5>hmecQVLD8y#g3Z){L&&g}}J0fLPvW@zv9*mUFWW#)L{2N`BQtYbfc3O4< z)eRf@=xvn9;vk;*cj}6`U9bC|F!b<}T&|*wV;**H5%JJ*iz4e-kfDdcSE*rc{H&Sa z@J*t-{Qn+)#7E%$20G@2MX#R7AT9%d*hdjA8N6|?a4vuql6Nc1WgVC#6)UT-a(%Vt zwDkM128f`O80xQHXD9}1W4+#d^SngB(^QUx=M{MpzJ}WGyG#fDIC@&C_f8R*im(Xe z2Ace6^W2ZjU7pcUGEM+i0I&Whz`=fSIMGOg3W7cc=8pz*?@wvK)}q&1f!J7B0|5UP zEkL%2V~^T5Q>jDo$fxsmBACc)ukN_;`5ojFSJ*x!B~&4^0clH>N_~;nq9A3Yg zWKww)cOKO!C~iWPAAhXYyaWL6XF}_M=pF;K4MP;MFHNAa(|49~r)OtB0}ul{18=4e z0F{IMNH-vKboLr78|y+u`M~owr?RSQ1T7B=byiWAwC28fagOpqCFWr`Y%&G5AKAZR?R^W~%q}REpP?&*zuTsSgw`B9X93A|=8*CsmDB z=W;A$m%4`BvDJp2+5Wal`J^m%3mjJfS0R%_+fiuzRvSQkW;R|RK?;-LrG5u!uB^ie zT?RZ#b-cO&5Gw`*m#+m!W>Bs^K9Z?8Igdr}k;dErL?x+@RB_Hjw54IO$1}Cjgxnc- z^S+^UOiTyZ*a>OY=^}Y1P;93kSCmy7F|!<=ytH}pQi*>pRT|^X5$A@;n?{zAK_jA` zK;{T}e&Vl_prom%PBN~KPhv#tM@~Z?cT>=H#B{0>@@-*l0_KE+pwr^ zYe*z%5bx=^>Q389Cso_gQj%L4GVPy;BjV!#FwY|`6KoY@izIorcP?rXjsDL2V{x|Y zgp4x){+GLW`$-{_YmmF+2pJ3(34oq^WJdxpJ$l3Lbbf7s$iQY7U!B4bO12|3U1P=X zKb%IuLj2$<*LWb~l_`sWyt*Q8wql^x+DAv9*aisGRTeB07eBSqRMG%B;{=2@FV(+u zO5Ag}7baM6moe2#ZiM|&BrrxQQWPl;ae{Nvu|M)cq*~FU21Z6z6NFTTA}t0k*FLb- zojTH<_NY~rz?s=)0QlSMj=)Jf2k1QF7qK|cKSo&?nQ-blrmH;B|df&S@E;2Ci zA&*mT{V~K|%9z87FLx^&*6>yUpgtSPx|pA4*l_V+BF)9?1^<}X&@B;*-KuuN`W#Xa zf4(eXe<4pei^cvG+1(&gho_c5B$J(VJJg$v9iG-RqTU0aHNke#_sHc)xP<*VzK0j- zBACjRB(#DqIQ4lK^oC$fl)0n<7cyn>(i~b9BfRq%Y#o^GT6%#MExLCVtvDEtT_95= zsIoyJH|7()Cca~EQQ1}zYWT&TOPBa_20Okq-&2BrZvSJ@8&^^y4pEGJQId5!Sb7oHo|7g~JaaNCP~jv^I^f%sZ> zE_9eFOoR|j=jf2}-O;X_c9%;$pK#gu-RIcZfKS175)EdOeWK|GPHn?PUI~{k#VU$% zo+sJAfc7C}aat3<0<;=z4U#%2b)@kp9;4jZdU!>bY{<04ylO{`;I-8wEFfOBpca3^ z7hvEHp3L?J$aVz6h}OGIV|XQ{C!9zc0s1HnfUO($o6D?lG$#@;s2f+rOkse+yA9=e zl$d*4G;8^8fAQU?!7gtz8lTIa=lv_eWZ~r00$;{G$k{JqF0%$U-_|89hHxU(pI>gJ zedfFO%=Yo!92D_IJxFV$eaCM6jkAL4`Fbuc$n9BJ6)DTlwOrzdjUyBZ=QvJy@YOu^ z2bO+mVyu_Kh-;}ZyMxlFuY=RS)a^-PxXzQp%P1la$k6&5Fd__R=mw~LGQ$jgeSr30 zS%YQ+f80OrAnf;VmJsn#T4MEM;)8T{{+9|R(53%AUZL&hIF0elYyb$lh87&PYOYCE z>@xM+ow2?3k7qG?J(Z`rwdC*rZnc-yS-B1Iiz%ms5hbbcgu_V(RlV;;11a2!q^1$b zJWdn?zDbt!D|MGLoFLq)wSacc2nG+=H*YGPxg}}5H_GszcfX{@7&WLktg~_MkV8Pk!Gn{JRjnWfwBe?pfU8wHy7*yQbeFCBQ!7w_M@cY80bD>1yGXjGm zQMd#H7e!fgg=X{5I26nav$yz7vO6l0!xPpv=;t%8AVkcrd6w z>JLDl2CSZVMIy~_iM$E>Y$BkDyDYOOp~k+wM;Rbpz+wyc?Ey(R5NkfvszG4xguW~ zvXgRC1tv0@V03N>Df1fK8>KZ9NQ;iRBAkxz!SnFqL9u;kZkt9pzD5j56H-u95F+al zUnBwY?1vMtBYofG_h@5z{}WD-L(8I37qAXB>(GC%Fub##Xeeon6+<~Dmpm^2?XAoR zpjs4&BKa<|m9BF@(5#oMLo#b-0uty00-%hAi=jomgVd(hdz8Vk7Xi3cwD4ed9$23P z(J3UNpbKao{X{vjZ*D0czlB$dyvu{fsUC?{$gW;ML$rVqwHu(cjkg#`;d-r}nGrI~ z;Oz$REqUO4X;Y8M^+bRdui8)ddaw@N3e$FoO(>v*NoCR}7+JtyQwKD9o~Q2#$l9aK zNJAXHzGwC2eadvhE*s6K8Qo$7WKRizb|-(U>h=AW(1XtT-n{9;>6`Xrz`-@FoO3%Y z6A4Knbn{@f#7lz6llc{zvzPGEVuh4SuyLe`2byM-=i-7XVIz;cbWw6c2rnSEcpCij zo1}vxGlc7;m+uM}Jv>l3CmvqL@Jct^P?_K*@fDw16;*5QEf7%hEMQzt`mEi2#qCXA zYst@Q{_FlD8G>LR%s9NaDk+{*LRV^SchdnOeXO!4Tp;wo0ml{vRcp95L%l&|YQRJ66iP~xqlW{(%jv}&10BD73Xr#9U zP{OPL%Fj^of%ax+S%6gBW(Gj2g6p>guSW=KUICKFHcovb&)aNi@doQw(wURSZ6R|CCVC zaa6`*^<^(3!-}2EtOW-r9Cf!o{E|4IHJF}1DQ`#c`l)!XzM;d+f{HU5W!|SH7wSSW zJm+i#{BM=9OX;u!8nbgw7*HZs(xOr9KeulB9{L{8Y|z}4vn~EkQzUVKs~uB$$j;dC zP3${>@uvV%ZKbw5K>m7eAiDqccIZDf5n&6opVtLMBk&t)vz^+QS$yyrp4bc8uQ($wk z0&r7Dqds;&Ut-vEB-roN8s7cTasrQ+sg)ukbl*o6+1l7t@J3TnNjKIXybKbfRY_N8S`zLOo|B6p>c0ko+_?$bg z@UDTHj6xaT{4@NkE#s7)ySYz-T#yA~LM~gDV__c!&&6gtYSHAaDRvVjg@2OFyl2pw zBJ!80@iW6=YJ^Xqd+Aentwe@o70?IVKxv$pqpuxOHTa*i>jWw6-~3#*2$* zu_Za4H8>+GDk=b2lZt2ZnEVTF4?Sw20{@^jyjhrC2edG^oxLIJSz;x1Dl?W!n$?X+ zZe3ZH<-JI~OhJU*Z#ivdTs>!60KADxC|XV8$s#KdmuhbdZhSP z;9g4N;QirRGa7_~ac$4dUASs=dU5a1CyBBe*i%3DH^gSKn<=zak%=co8 ze$oI7NDOZjwQjT@05sa%MXNw?4K{Ap^Xr#?4=9e#>a%^zy7s=)UtByA4;&Nn*EJ0{ z%ckI5(0d*k=T$vkuh%%Cg_P?P}_D`nET|dzbm$ zyV{iT=H{?-MY=R2Tjq9btBX>YfUy+Bhbp~MxNKCNwlqcQj@Ai>zzHXF6;ihuL$nHO z+S5lsq({{8_R}TbWzpP+d7lR5SankRAqG*fZQQ`-1=Z;c;o8+t+Iix%^XmVya~&z5 zWL@b8^MU&bUnanB>^1fgPewLf#R6Nk|E(MRpVBm2tbYiBFc;C!P$IKaPKwOwYjILK zQ@0fe@bt`!BX`Se8 zd#-?&dn$p~hFE2La@rlYcHkJ<0xVl<#}}%Acdk1Vm$XSZ=8l$ZDbi@iw*aB@v>6;5 zKil|=Dj=VGhq$2!rql&E*$h4anJuQ$q@4sQEoe_M&XJWZnu9RBxl+%vbgl}*JhUfL z@=P>EFzof)lgQ(s@m#omYZ<)OuSRebJhLOa&QlDq9IF=#_VyS@S5%j4&(<;ov|eG- zY;K3SY5!$I5J1k8J#pdbHqYD1KMtq}20yIR2*n%TuHn{u9GU0Cdu>{AH+0efI|*=C7Ac$zXrfajFqSPJzTa4oaZn^ICgY)iHZY4!iir3uz?28q zGG2Muyg~Xl=tbkV*}5PR1i?EqCRD9Yf5m?I!oq4OY)_6IcLU>V0Wuij*n2?BnvGMC z1c*pHkYgXq8jqBfY99sXuT;uIYdWG(zs9GT85nNuu>Q)LCE1~?k1#3QJYBE?mC+78 z3-M#tH*-$mwhHs0CIqANll$qrw`ck7DVcxqNaolj>>T$x6?=Xir$YAuz&eMx!KxWoRvh5T zu+aP*pXVOCXlr|V@m0}`h{`6$n`YF~!nC{+At8*p{ZzH>!y{ApPD@zZ_9L5^;o=Hx zxI#)+UIx;%`Q=`-?K~Ur>6q9}>lD%KR#%Y`0Wr;$lVK!!FxLU@DOs0lae2r1B~FsWql0{GOeHk^-$-mwsh zjSB+C^sxc;*gAj%(j6AKj^J-BAVDMpfLKq`;1mF9bBp-`Ix`yp&qX2t++`@EWkE~> zw%3kHw-HjKcAEApFexN~0{Rk{>I`-9$d)|_@ph#{wU?sWO0eTUDwnJjvN#w*D}#vi z;Tcx$wZu@^cB|1bvJGAfvK^IVv;_5FBjlC}1C=0YpIyZ=nG)P8_b4{u7mUJO|)%Z5YVp4q8(HEIqaAO<5iWpCHWMcd_5nIw`uobtyGo1v)|Ms)ukU`FlO$o?&jiYAh?}3hUiy71-%jcj$`PT1Lr3fDC zqH?~3N=*&~%GZ5>pBp|FZpY5B*{r;09%IJ}Kq9Yo8jU;#0toJetV-VP3oM}P!Kbh3 z%-PGvGX?d!Z|_q?LHb(rOHxF71^4yu^d0nGgxo0a8QYD_$Uf$Md_LkQct5E-no!Lg9zora{F7L~>LjmjH1t&&ZI96tQ`c@OS=+ zMgU_Sn$m&PnTy722)Qg7UR3D5S<+Hdh0V z0^mUSR=xzPtp1(6#%AINPmh}0s}!u2ZCF)OEJ?E`Y4oEO!kxw-&lDFlOzA4Z*3?m@ z3Zx{*KRY|@;d{&$$4(?kpoa-w0;G&_Uj;bGv(h~&%hF^nfL=~9F{Ia$%;I2rdYWo_ z>oJzyik2Jq2?K2aIw#-vbKGWhj`m&c)z#H|GaVcpVt?1JdRN&2gf&on7(>#I(tIW2lJPWFO@dUu~ND zpBB?rB4~Ny;2i@u1~|C`&dV3^E_U^q@U+= z58r{2wxq#p#6-L?}r>ceqwh$F-CQFAJ;6;4V92KIbgU$$LqEd zNFn>*xrzO@kS_4=H%SPh+e&OLG9?c$LfV#4N*RchT?5~v@)p&o0S6T44&sY1u0_xh z8r9s7Uo?2gumzVVly7EFfb}LQH|mi)NA=J@HX+v#SJ|nCk811_$I;qgW)v zNMx70F;e>)K!_i_0W-;RAI8zVpYo#wb-nntU;LUu~NR1XF8NP4Z-S-zRd4ZQ3ACAI{vBLj8y4O8@URzg}FE133*U_Np z8XE3-grQqoTPL*m0@?1-Nr_S}$;u3}1gQ?_6$H)>o(|MH&szM}tVUtOlPlb-+^N=z zwEiJskSOZ>c`^LeWXN;$9>j=7uLAsWO57z%A}59@FRsIt0PPeLx=%vu%`eiCjwd9m z4#vu{#q1Rc|7yp5d+U!8+;hk;Hy;)Y2)=p*zk!c*mdrc1q=dtV+MP2Z_sO>TlNlTR zgnuvWsuSn4`58roBAiewmVrzuW^Enfu?WVSKA+25EUsz=TIf3pv_LUO0qfga zuw}8g%l@0IDZRr1Ev=fw8_j#s^QoG|m@ht#q@l%2<#8w;c>M8wAGP2ND4*)}kb%29 zzqbf0pS!sdbUQv95W{%e1hMONajxr7aTxIU>PtJ4OBvvp+2}emkTFzh)^o7s#jk%s z5A8!fHrX%$bQ5N`ILmlE0MfC(OwaGg(kEx8NkVQ>qef-*uUCAym!~Rq8rBvE?T2%P z4Eb~lxh)RcCjE%n)-ttUJ9Y)aeA&3JhNp~uLd9e`993bgyva6cfko|zN)>5Y4@2vj z5gd`D$&J` zgpcHpR|h%;FQEsk{9#u*4AOhxS-Lrn@~>n4ZcS6+dJn{6KX#n~QQ^yuRy@wyOXWY! zyEsn}gBin`eM%WBDpGwM`?)zBu>2-ZFc7#Su)(P)74pz)oQmRn7};8Ai4w1~@8VJ*Dd%d9-uhX(M`@7GZ;oEg>2PUw^vT(rA6M z;~7@^l;#V<`}*E;lmuY0_Con#ORAaKt2{`go5H>i|z@hq_gh! zh=DS&ju0k5C#}2KTlP5)*{E0#ownIHTJkc(&9ZMja<0Gsp=<-z-8JlEBs-EKpjs29 zu5H!!9^m`=+RG^ybqCI%ZQBfxJ!e7+zFqG0Q7>KkW-2>7hEnNbV3Mlm+@74Q% zzs?7oIqtLfv)8kp-x|BiGg=6#Y@VGmV`J#D^|Sf(Zt`Np{?nXX=q7%-Wnx1G+0Y+;LAjM~<7zj@y9NT;M;*2yiq|-tId& zefjXH9iXQT?12OWs^2HJ#4!59+ku?P0dq~dwl=_^cd4x`<+{v707Eqz4NTOiAxORe zw>#;y$g5znvEItQcY&MSZc4Njgn%lUrquaTqDZD*$1k+^MgA&*WO@VK9U0xBx0O_B zHcZwmV`skB5=Cy>#Fb88CX&9hpEBd?Tqm1F=B+aQm!#3-|< z-9~7Ay_J$RHDZ7aLQjat;auD26I9g~T}&K0p`V5>FR_d?SB?pO8sN#7qV@J&B(v#K z&fQ~dSrVJ>IXG#;thuZ&k?GG0m^e1-r%xSLwpgfC0ZSmcNZ8R?!t+1plfu)m5s72m z`_Fr=s%Y#U0UcNe6K^?(`e{@mqx84HZ2e%>DH%TIx@ggetGCQYuz7di&c01fqIErCx>$RT->+Her<4oXQhor!z(l#K7sk_G1cQtCuk3Y17ErWuMrUi(~x@a&k zb&JY&42%JKhL}od=Nx0(=J<)vNv@}O0ohB)JZ#rxP?bwH>_Ptu9`#XXvy+0)q za5RPKgaKz#>6+s~K-%pw)2$_=X?{#MV4nK;F64TTkIMfx)JJo0%s-)SPnKE9d)>PuHFcwj8}IO^y%I-0r6)q4}NXx(Set3Y_NaRl~t} zz5rEqMq?jOP|u(VFFk+KYNy8r;UKi$G|m>Gxrbnj zDdyQMxX;HC^EyKJf99SkR%9u6#+24WlYItsV$WNe)+E&`oAwcNb|6M(Jr9 zSy=}3$6EdYyuzEA4gN;E(3NUK#i)mWrc%sBDzAnYK{}1P*&;@qw$Hdb$4V41L*%*- z0MQneMZgwUm6n#qoak%uT(k4~ysG6O4WGBEXkZdQ?{?0v@E)w^JvnQ zrP9*eXK~#ucD~MG2v8UEh}M>yZc?mWZ(yy72V468n$%Ze!w6ZfGdNgk)R5>VeFb~Q zxT)BNqdR4oQRIx+r*#ndikyirVhrIM5;tU93SJ+@wI~`_8 z54mYnVgz|L!DMMO0*YfIarSYxWDZF!tzY#E#pM3PSK`?nh}@4)wwgkkEWq z*MQRpr#XNepGeP9cWfAvI;K4=O#f8b=%EZgkZwY*7U3sIJf~RMl7;(eyGy+&&m?Fz z<7?XariDC^&PPHKJ|{)J!fj{`H||r0DHBz1C>$5Xjv+5c z&*!+^J@tALnJ>)YLG3A z^f|Y@!tDvy!#)?HqR%N!gf1F5_`*>!cvqFcN zJt4s=V*L4{%ITe-ifytq*Fw+ajb3c$?FGC6kFReWqQ>6em4dB?n7}4hw823pX}dS!p1jmB1}JyUjDccQ`Pbe7fX2 z2^59QnRua};9)k}>cfKZp^Z?)Nv${hQ~%|$7LjDQkX`jum?x}=j4Xe7;izgqEO94z ziq}ETxg(H-7CN8BFkVQ}5C&2F2Kz_^32=1^si@c&V@QYcas|H)ak*FPa;mMddg|B_?@# zdb$bl-n?aYTL5)1kp^!F|G*nBr+ka()XA-`zd(Nr2%GPx&B}{L156da_NK)cf0>DXwb2 zCGUkgGWf{1g`RuFhaKM>DA^5b^K^d{LIv}fI*!X-_AX`Iqehr00Y*cP-ZI&7F^m|EiWR6Zo&EI!c~*dW{yK7G_ssg zAE0mVMLX4=MdX-3L$j!16K)SCA)vvP8OTSipZ3MbLAtGAN{0n0m$W zRds+ZZq&&nOjeDg5r@v^!4JAgQl~U2mo0}un}D17j(??BTJ*)3z{2K-5+wV!na>j* zn_v!pl&HB|6q~x%P_FYCZ5BE^Eb*RrMfLkn*IQwS(uXUZB9>G1WoycIs;`=31oaB> zF!Q1J-8?o$g7fs&e!y|3*RFp|sGM(U)6G}){VJ8F+#k4n-<;rq8DwPnAP4#LJ=21c z_U+0%G`sT!?=^;XT4XdeA{r_v{kX(+v$F{j$nCc>+!|YXZ8hU-qoZ(HSi9>T;e{D$Z=S zU*}w*hDv=C5(3Af)+2~tNs%~%FoIm&N1mL1H{bTvQ{*q{!oZa;U64#|Evh*rk2>gx zgtq9_mHXvZ(clf;XD==u0shHqjc$DbW7ptgL44{u+@Eh~0p}eU2O=aSR-yV*Kz|37 zVB-xxUNU{Aa#euwgjiTLHKfw1(qAVz|K{t3+ZSp-@Nb#uInZtrkr7af{%t(z+))bM zyT7bdnA&O1NJ4`N0M&{gn8c@BMG177<2^q#6>+Mi_1tgB`cM=-&gYa`^c#(a zK_@Hc&PFFrcTO1G>2GCoCoDAu*j89?C8ufrn9CBiK?DL9^W0>{&16ctD^d`*7$;Z) z>8OB^&PS-=FV>?qv$TuoCtZQz3P1=`={Nf+ky&{%!eJi8eCp%~nt*Wlda<&qpHp?F7P`SYEyVo3GtVx9I5%TnP8`m%b?{NPX6cR%9VJ%(MnyD81D zxJ7u3<$s9{tPo|!?M5@J)I(LG2F2ybwtlL;sBumK^?a+fJU<0Gzne^l{7q*-Bb&1Q zUz3|Fi7S(TmhaeY28b!-4s?|oKtiPm*rihD4ga=E|zlT4g8u+yxz(s+H=OD!ZfU zmaXGxUm}fCp=?Po<;Q<|`M*0M$~YKLSiwL=#g$(fkYVwuTq9jdj7is$S8)VfSP{D`!Y- zgIvIgur;m~czf>E5s5dg+g~f#`&$Hs`NHzXenonI7dRbHf)wFB1Hrr1vz4k&pLEH6 zfBgUbkFhEcXVB_zEa%?LyF-i>Ko;Hv`e@qEgRVL`U!VzpCQqUPx64opl8OlfUWlK) z4?O>K4^SV270YN|r_XTyUUYov% zp$KaywNPeoB${ltMZv^o%fqBfBc2vLn`tI}-q~#LBX1_$G8ge>U?~$?KWth-5sJ|2 zTaG`-XFJZG!#DG32LZmZ*jTvD7qx6jOC2(UU9LZ^4pv#DU$454g?a@r2 ziRLp`!StUrHIXQ1-{+1ieV(YOEj0X8v7d1_0xX2h^=9tg%jgE3$Wg*6y!xX~ttZ;; zdbC_N*f9~z=!814^E|G$S!0!2s7@wDe;+1;pP$K?4egFaoHcAqB1uqYP z{LOk$pbXIWd;DvP7(W2L*Ep?4qLB6^PgymHIHZ;As{c zZFyb<_|&shxjt*naSN0)Tvaam=;4}V_Erd*a)F6!!5Mxy*obMW#CXcRj=NF}SJ!<;x(NZ zsHZ^)RY_HyouS5=VBo7s6@jayZiJ!GNWbQYKe(bY7vxl#fW#C%Ptpb*%-3o(Mg&%c zw;E92z^3WHpRGUKqrjVD`i}E{?HnB;6WbrV!3eV#Bs!8*Z`P4ufASfk!eQG%n!2|Ok>008p;D)$;T7#9=GTh0Is_WyD$GJ`$du%8HwlS z?+wGjNc?y5BhCm4UFn{w0&FAu)jF(Aykq|s^Z7kH>>eb2BAu*j8~sOW1OmAk{U-4| znA5}1)WwdoGXg`usXdIf9cOWs2wPZPi7%EoapIL z`B*P^;^QOq;pb8X6Zj>vxNI}pEhJ98JaBC0q#u_E(e{co^gxw3=iSDCi;mx2S)g;s z2L6=ruJJz$3;`}Wol$rg4igg9_*Tab?C=d1AxS&9m{QlRi1++?!qg0nRcgu=Q5eUy zspJZ*&W${upaLJPk**Ot=4~CpOvLpugDk=$!dcfiqnA~P?Ta?U(PMvc;Ve(1bh1Ph zH&(t!htEUy-#jx`JbcfZ?kb3a$=)y!Pq(hNU7Rz4VAP>PWTT>FU&ZaOe*BPE76HG5 z=BH_NAvangbaSxm3I-5HRy?ajbIYw*apTNTnY}}AqMN!2=6`BdBq@lq@UUe?9+xQ~ z4+J1Tohr|rNS=t+;l5&rm5fIO@WgT+7ZZsdJ`S=OPKC1K+ku5DxxZO>GD5K*SBk{8 zuq?gRg~z7_4i|~6-+UaGA#)xE(Z_FE21kK;c!;q2KK>9=?RsjP4n;gc!#)jzh@5f| zVdkBmO^f;kYGt;X={d%BJ^hlEavGnou^30bF?_r}l2cmY;aT{c5hBZMHk&@Y<0 zto^F4uMH{bg`l`|#NOHJvZ#DrY){VXRL}aoT@rmlu1|&x)aT)>eLl<^yU}uMP)QMK z7X+)E?$HdBQ>Oma+p(GqYXFt5jNBizCB&;R}YazrdE1p<1D=FMi^hfk5?X){pW z2AnV#LldhYC)Pc42tF@_;ECy>vhVGhf3~A#4^A3&Z$d9*`qkE#Jov3AV2i(=)6wNbKZKxPQDsIv>5{sOE27$LRQK}!H!}Qn^!FeuKE>7_hes}Li zPHYsU%knJMjU`EhU{92rm4KlvuIJO=*mv_!a{ON27bd#xk9H^+5B>x?S#{SntG~R; zdMg)W2F|A7t&XfT>E#(x&mGw8q1Jv+Iz8KHg4?YgfC65KT z)!u#GB4(vOkh@594HNq*LhXaAY>Ga#H;?)nvvzbi*)Wx7Ghqz3v(F-IoA`~DlWyI% z|JO@8(V^*Q`o+R`Bi_Kt1gm5BIHxs*9r5RtW(+U(;h|z`ZIU* z(nfnyjdO)l?cJd*ajjm8UBbrVkgGpquEp^qQk7S>rJ_3b?(4ez+G=@bjh4E4BcRdf6^KBu_e`|9fqgc z*kkbG&oOk4D4!{qgrXBV^pJ)%IL@p|CQ7vCA9LJD{sOYsH~5$~ z!o%?9Ui&6#;rykhKdAaRGwSyc4CJ-Xt21);E3<5@)xHi&K~)O#u0|+LB8k zZa6pnR7TIah|kEIs-0Es{qvQ8ml&_$R;fNQm)`ps*-=<0t9Vj-z*PO;T|`d*w||Vg z+OgulPsYHJ&)RJq-Y6nPI5K`(KJ|i=;iMSFs_Y= z`)bA2$oiruE^_Y3x75Hu(8MSMA0g7=mu>d%8?qJjnW2wT-QY3F=igJ}=xR%Boxbo* zjm39DNDae>yVL+AerGCNz7k{N@RguJ8J5QCIUeO(PK2n(jf$zm9Z-JM>V4LP>av*S z8BYyRmDwj@N0PhNInnX65m@Df^$bp7 zh`y-@@z)yRPIDavWCQ4YO*{&*`Vbj0h^?Q>3C%`1a_J0J_M1PwkxS;4UP7hx50ujV zeSV=VNC8lZ)-uhWrsV(Yc`T6>@#r2!ZR@CDZBTEBarHfU!CjJ_oL<6GgVf-}Lh`c3 zZKGSp;CM+;u8Ek!Y1dA*N5U65g~*+Uq>D9jX%cI^H3;tvi|d+jdwVrx%f`VRyFoQ- z5Be~^9Eexd!nz^yXn%HkE9B z_N5p7MM7eF?Gl2L03#G;)@=+Iwk?ceL80mVcmL3h4Ha=Cb08`?fMAU8lWgphg43N@ zjg(6XcI2KdZJepeHR)JQMRgX$>hP@iFA3vxr{4ZxCL!BPME9kvB{F)K*D%)eu7lDU zvdUpIz%~67$;`E<(^9bjzoNEZ)Uf>__@Nz|o^gastS}U*kYuPxc$QKYmxmxY&RERK zT}tqC!&&LS*93lAl1}MSk$_S3Od?KP#KINw=efnbZXQYZfC--N8_bB+&8mp>Uggbp#7UMdW-*4s8PYI37|h}@HMlX zhS<#ESbHia_vO67{6TDVcrn*@Ih=>{>6zJ|fBrYwL_tB0O*tmI(CqEsn@breY$a_* zT|fT|T1jHEpIUQ- zcg|`~w@NR(*Zb4$eVvm}4x+rBOQ7=y9$&-3y%Y zYzukDU2&o=!#ZRn=ZpoEemTbJt7YGg`Ttvlg7I?Y1t&rhT;J6HE<$Qe@T`{?ng6<% z;$8_mgb|rNVJG;rmLFG-%5|7p3|}qDqZ5^HrLO!owg4MWMRUTpr7gD7ujO71rT7}w z8TE|rBMCgknC-<{j;O|>3KRDMmP)ynzQ`c+?vqkXbcs@Z7L)h5lloU2MxrRri}rDO zsgUkf!^q(70@Gzra5sPO@&ZzaBvKEVX7RNVd^_67BgXSspC$V1fzg5%8wLQ3cm|Bm zR@4rb&HHa<+oefpX#x9B*hEq&z$}5(rJyx5V!ZT`n+V_ga)%q2;ErXL60P9_lD$pH zL0jwXiP>U0jm*2x9A;CJ$y@a9euTvnk)M)=Ic2TCIO~DY-cR*zm6WlZtu8$+o(j#D z-H>%gdYK;9UBOsj7mR1`VQKmLS>Z*+@>2LnNLgD9ni3nB@XoJ4COkP(6eq^7-h7>= z2BE*z)QSZNCGfUTvPq>9N(K+F&tuDI?Xl;FPi27Blm@o4=>T6Wsj!`5EQxr1A7@b; zo4n?tWuL@hl&@dgc=)P8-7NO#oUWrMgXZ2?=;@Ru1biwrH@1V4+GQ;r_&q-J>&Ko- zKf;p|*v$FYNQ%CBlhj3 zlZPZRC_l6C9FN<8oM%;b?G*3mGCa88b-NF~62SLd+PC%^yGIf-tb~X|FLfeoX~*0a z4QnM>W7ME|n3km=!i0F#)5S^p;hlmb5ix~Uo7sQMj^OvC4Yo*|^50M3q!_6|0c^ET zN>hJCQps>Qe#@Q@^Q7e;$~i6X3Dqr2ykIjzQRQK05Q>lvL&(+JMDm7X5oBTPtYpx{ z&Av%Y(jjlVnAxPH*)zEBrrL2qEvLU(yz6J%J7G5@zPKRf(v^sdHo9%Cu{5zY-f$1z zyQxpQil@K0%`8)UtcvBQ4O?~Y03)@wz#Gb3ZJTCt67-@OEg~8A?-#THv8+h{WF@`C!zURQhqfQB-?&egT&8*-1 z#YH)$BAANP>vnH zJ%hCQ--n|O!cLL%Z)I*vtRRd^&dtpwmYDB`zkN#CW%Z)MBmWZyGDQ2oLoQkpqj=`I zBGb5uNom7{E@UR%Tb*B7nabzAqB(5M`~37`&Ye|=^gQJB^}F<=UtVi6yE_G%pM&D% zhDcv_Nw}Lh=B75Vpg+UQt}MW&@y@jL`R;@D`O05{ZTp;gjLJGPfh<^lnqeq%*nXBM zeu2VkoN_y9%rDV1^iQ$SLynGL`-?rn_4AND;nRyZJZjf=6TUO~pzN_P-x$E%>$el? z-7gn8*S=OibyLx#{`q;BBG11lZ+$f35dEjr89wgH=iLvgJ67DOw5Nt%0#Q1HC zH_gyt>ev^{lv?|t&Pr=;UF8EtkGonuG=&?pQ))5)TGW7V0oa>}&JJF<5!mIqDNnw2 z0i0cGYHDdR=2{Q``Zc2IFuWBanEUsq?emG>*xyn8+C^$1VBGR*0`&%4Cqf6ed-aUZ z_afPc(1Cc;(15Qn_4G-O8cJwX?BM0LP1twZs%M-+YQt(@)zwR*y3voD0?T72uT-Dx ztLFaU>QH|J`%>kzuQoU;#+MjH>WZs{&WC#5laR34B=AB|CQSR= z3!^XpoxB_L7&L5PkEdt1z>)gz;%$f<Y9 zuEF?-WCu|f(dj@E$t*UIMQX66QJ7&kE;OM&&UgS~Hccj>>;VnA$X;DCd#{o43anjw4k^y@Ghl$Fyw=JsFnOm%9jb=wbR`7 z>8U4=jm27<;Adf+r44e)Uc)52WF8t5@i`kxoG>}-1xyjT9}_*?25{=JhpBCkw%l{Q zMk9QW^G|TH-ZA99d1ydKHqq@f(%fP@MmgpNX!gB<5%*@I-|fFkrGh9Ng3@)?M9}t) z0#a#GBFBVdm@>b86B}b2Yd*_v-?k*W6}4>5i=t9h{O{LVh(Y*=q*8lUxhDkvcF`z7 zfKJO=+aUA{$@u0{z<6uaFXvZeY-_{9yvB9+QO;*zZnr!H%_xtXwL2SEA_l<>z=Do1`pt$NQy-15o#US77LwwkW}$d>9= zSpb8hzEV`B%rCKKp$_dcR>$-oB)Q`_j*ol<7X)p4bEkMz=X)3Egt)j2#^zIht57MD zcQ?~s>1|vMlBY7iQY?=6Z@5yRBo|81NB8pMQA;pQ+9`Kc?vagD1AK8iA(A`<=a1sEs zCdT;orKhbjdv1y53bBwf6%AWoi5D`jttNuYA3t(l{eg^6yE=`>!+7J*wzXks`TY@I z^mf**^A&)6kZ1)uIqCB`6DRY%(y7r&NfD{lxNf6QOZ;AnU9=ozL5MD+UW6hHA1AKG zQ)Gg32X;%op=3u!;=0lDBD$FG^6}og`vTm}yoY72ArIJN;@Kf%a3aP4snNY%K~v$U zl~=(FL{Cm*Y^X4K(&L1;m5^o4W7Zj)5HKiDY@2D)pGfrNH6UH_44FfUdBIr821b zZkeQ--Xv~@)z9}lY{&YG!+;phw9P^18wSUZ>?GxcVUSTTReb(ty9IB*;ANSgTg4tW zj8ORhBp*{HIRzv4AGs5MtzL=tpzgyC7eRM;B5oepXwT2s0#D*}AraV0U{M|^(-fD` z>vAAIG0YiSW|=|tqdPm}>E6*8CKoj!n(N#}5K}oe?`OqfkBea|_;W1zx2{8ey%7Z6 zG!*!sJ|{K)1Eu>d)O!MM=i!<)Adtf?Q+|!MOuMYz%qdMx+`;Uw``VJzDmFs~*Hv!sIC6mW|B4DYx>EQt=7yp#OWYmc&`^IJx5CZ$VEZ}*$shY3J`!AW%s@k6 zXyUr2s3$am(ZxMXvR}}QlcpuNC}5pN6EPi$I~i8lM}&-ek(8txpL10A=FP^l`(~MS zv<|5ghLCg}jBvr%l?M56BKPVm^);kXM!M^gQ=TlT2lG(Cyd;8(dU1ra^e9PWZ*$_y zufX&vs!EPOdI|z7tZG$`i$0twRo_p6M=-B@)n4zfE+D7L+__^w-W4B%z$Z>Gof8Wg z!qj;a)6`V1&M@M-^SxM&_Ad)y@lzsNzOJxsx4@9(m+7yP>hZ?UL!ps%LnM*S%toT) zetNnIn$i+$hA}u*HDRKuQ$L3x-~CDit%dF)+x`dNK!DMgv8dE=9OjIMg%>)^K}HT3 zf^k1~-AANi`Mz7Il6R9yu>6E4b9d%v8(sJ|hCaNXeRn9CcKsClH7=cCl2I6R+=}dV zG{_l^2CrmTUYS`{;qYf6M%ZlK2FGBlkHg+3g9Uk_Cv~k0eeGG=tFOa}Ew7U`Uy4OC zbLVhGL1v#y?IVLf(~I@5kf*5next1+-LZ)nXC3^CA;5|9rceA_JYq~0ekb*dL1@D& z^{^}xS=EnD=i_*r6A)B+IY)%!YdP0XV+_-u4vMxmgk@?zEFayas+;Zhyk8o44jF6> zuNnOB*KXYTZ2@@BXI`L3{<-TPo80dUv3LX;BQ2M}UG%AsE7oiFnN&$Z%$|x_F+nKI zsP|8mdQVF7e!ljEuo8y_Wn_kzCPEDa=oP+-+L8z=%zAGoaEIq8Lucq?9)FP3vb^-P z7r0xX>@LDUNub~`OQc2$?q-={s^rYcOnzFg@%Lg=WCxNn{>j^}C~#NmcQy^y^# z9fx$_#-(FC6|mKjtv<~Mc0-s5 z4xKB}yF!c~85k)h?cON*>}B(}DphlgL5AIQ({xtj%H>R-4NPsat{`y>#z>zGu@~z0 z;Bk;n3V-Z&O^x$g!KwzMU1Ze7tIyoM-A&7R9)JZPZGi_%6_pd2QO_YjtthK?@JcYP z%zPm4|Lr>Rkn`>$cU%UBguhxY5*x(Q;=?>eMZE7T)^G&LPaujBR&P0HX9&OJI}6nW z>?p!4+DsncE(6vA0DIV;DMgIwWT6wlVW}K!WuD*Nx>=-QJd#1nAMevdz6CSg`5C#OTemwiO z(6ZnD|C{!jem6h2Tj;g=V(be1*eOQrf2*MU@uU{_K1lGTm7*I{XVLD>SV#%GIp1jW>N@az#z$vF!BkD2frE-`*dkzm>yv*4!4}* zv(gU!Y1ZeJSI_suzB}A=5G9&w@}wnxamSbeW2!almdR&7!>`j~HOufLPXo~Ap@lN;jFX4?BGiw|~Vq~|pQaRE!K5xT;bMV~i6 zRSW{BYg)yd*9cXOw}aG)=cEgqXt=8K`@j3f7tlC?mKR1q!9#=32%0m}=7+i?!{8a0 zWoi;HCgU_&#CH<2q0EDw$2%PuP)jgq+vekPs-%`=kGM_eA>hV^r{#TLU!LS!x|O@x zzOZIi7~*^IpZ_Si;m3P2H{|WXm z3CG6n5^xz-7zEtSDGd%`%9G3HUw8y@_HzX_wB0*^NBFX6xQa33TT*8aN};*;63J9$ zm^j+q6U4t-JEdd^IBLy!|BmoKv>T>U=V@_zACS1>do_UxWu88!6dY=jr5c&KQ|8GD z7kAuO6w+LdqOu--!NTxTJhoEot`~t)dEI5}gH&mF3G&^vwxM@vA*Ixw@A!;ihZZMH zVw}R@=;t;x+zzt^J?s%g=y7Ktr*fPgc3c#78SbfWR~eNMlvxm$BNWP`kl+6m#VGA| zsc$6eaWuw34kJ5|Tds`KNIMEfkOkX}R+=dnwfr524I5@geli;*y7N8g`-FznFdg#=E4;SA{}8GKMD9Kj!dH;l}tV!(42o2!hqRQ}h+4Sf2X>3oHgSy(tx77%+U*8<@%D z@he~v_wKLIo2nK4Pqro?L_gP2Nnk?gZ1)h;OeVRPM%VA|lW=i~kmW1vF)JD9z3!+X zrSYLQ2o7r+l6x5j{%-CaRb6FOo@nG2LrG|wEaVpWTN7)2`WB8~rrVRsnJpe!#5=87 zg%8rmSF9>)Rju#KiA;iss*-H|40Jy$C#<#lrH*?J<6$2yz7&m^>@Q`Qwsi_!yk35D zHl(D-{?T_T^zS^jHmEjEt{*I4eww}$0K`z+e4Tuu3vN4ZIc#qkXg*y8lByrw>~-8c zaBy@CklL19{+Vp*)<^LVnl`SRk(73RlosKF%y3q6+xkrk|2SAnkeU!7hq znbm@Ek-?TF4rhwKP!r&ht)Q7Yp>Baj-B)Jo+H%c2 zNhBkkQKY_jKN*=p8DXyl4j6W|pfXZ`X-g-;e=PKV{SJqiWPv5BdsbDamY-M=(XPld zE#_rQCuxavA(EbLcn=eu{#H9ZO6%6rnug;yVQps$4MqYJjGe9uknmyT?ykdJgX44l zaW5d8ThL=m{dizki?HHnVp%f*$D&tdb3&-&f$3n&)0%&#K;-BJ9*o&OW1Ojktg1`P z+TF|j`o#5HqWb-G@mK*v8zh;Mcd6s3>9M(|K$$qckaP+2IhB7<94>wRYDz60Bw=Vi zPN7;EL984~ZX?s2tf~(y>DzwJg1E|Daq-8Q(xg0Cm11k>U3j`tQDy9xWm?qIhl|+$?q6OD@gm%SO! z7HoJ`V)_}x8b>BsDZ%jonyhjKg^J>Iif5j};IZMM_sStoBT~mc%%XmxoI9LHDKObE zs=OmM^EKFuJK6lORP6??Qf-7$EXp-l2sQI5$P?SE-Qb%Rq6njx3mtorB7K&1^;IiG zF#dj=!rjpHn_;1`4B*Tz4bF|s_vE0r&)%^E!XbDkgkqXa{^!ACA{nbF1r%JaZR z**jSx55q zflr4}SKR3K>V=uPxeH2GCjAUS5X_eS-tW}*H*c&gL!?vJVsH9w`t{2QQ4+_L@dvU2pHrIxqR*;WkSJc*IEmJvuNN{CycqL6i-)GU?0l#r4g8}#GVzmkLN!LDlk@6ICeg{U z3+m8YmAv0@m++(DqKb^J&e9CYA36fE^9}jE-cvfn`P2cF z6l3^9!l{dDj~>GNsNX1_@drNwAxGyOw`~tV4x}v0qhjj>*&>e5;yl09SjV&;_tSOz z%mZ6B+i#T8ra{NA%qGaE7k_9){Bocj{#bFIFv%_j3M`ElOxM2?eFdq zYo?`do348nAF`sM>mAmmgm7OojCq0Qb)N4oEZ;P8eeA5!b&FEtR$=hU@KZK!c7MTR z(x{%5`QB|^`8P0Y^LfYBi$n%V&jD%NfrrMT+i637_9j3xlcbtmgYvfFmU%Uk8w$)9 zSSbKVU<~Dl{uw8w5WJctWNRSO6t%)MG*5Z%qJTH~4!dN?>C}Zg4u+U<`?BA?Offbv zdguIV^<5>!(h0iNOL-P%&_l{3)nDAs@}ZVqcAfCJGqD_&L259tdbe2AAa;3 zahT z5bGRt+y*!EvD?)7|8Vg84UVt<_z-)jOY>hl4xAEwozpe1+?W3$CI%4^RB%Td@H|XL zc7nvF>}ABF!xLMz>L?o9xNJ01vUp^C%9IvKZI7w%XZ{>KaNZ#6cJ3RwL#?V%ZwFUN zi$dK68QH^o#B>Y^=O!>nqBd*VFAtwpiP%M&Z66xkKL6pbjAoSaHs1?HPj6kOG?sU( zaonWG7BTPm-X9q8qrnIPAjca3qDko6PuJxSz*Ojm467ypY9BSG{?LpW{e94-ck^CV z%f?o&3*#j9%Zu(t`j#KlCN@_W$D;#g%lP;K?-YK&-4ce6snoi0McrXi}Y%o@$u%pf}$1Q%9%ZCHL+;QI#Rrmd}W! zQ-#@*DjOJ07)NNbGt(u?JYC^*C0>!@YY)fFd=v`)Y^=E!jZ&U8MxmD*{voNSmHM*O8I~D zaPc;cKhUuWWoNEQX_UlE=M`+a>HC8Tcg$SJ&bRj|CuLZxgTeyianqG<-hEA?{0p6I$(yNS z;a4+vF=&*EXy#yAQpbv|V~4@#Ess&K?M{IKdRBmQ(GmzC(?wf;V_-@H^~_{^#l_Pi zcy8rB;;43>5G(jGe%vx0hJKG>;U6Zgu1-Fuf3Gbyz{t1y7MNlKvU^q*U%%TwzMLvI z7;EyOv$nQYvoD`5e=dgsLa{?5_e1LBewA+*?z881bF|Ejq#^3QGBan5%gf6{JgYSX zEILD-`TN_(5-WUP&tK-B2Km?8@{GV~pC}7?@YzG9+s=cQeV`A{1IF66l}Q%jolH}9 z+uhf<>1q=`M?rr<2pteGw-IQKsRvWbxvgY~BWa948`f94bovcZsKif72JWTxWU8_6 zGzTQ5>jgnLe%1{I1KgB@Q|O6pSBnl(`Z$6T6lj`HGw#MaKcrw==}+mBeqTdj3Fajw z?_Uhk%fGwhwME+LbEtThM_)#R4&@WG+;oqR_8MA=5rT|Z^HstoEx0uka zua9i=@zkV3Xm6z>fKd(7bsrDPKWDn$QCSBus~VF<14Bm-7L}O(7Ko8@T))zKgWpt2 zk=?=6C@nIxt4>ew<9YTr_%%JA!>B|yXcUo@_5``mc(`a`1Q zH6gr9RDr<1gaNGilWik6G$5vkU|q74X(?tKd=tiB$8*Lyoa>lev&s}f4W;=?5(T9m zPZ5}mJoPEfA-N{K#7z~jA1tLYW%Zt;J^f_@BdWc%@R~!sx|`2K#dO)=6!U3anHgi> zvg64o_D{EY(&K*XEL&qAaO9x=bFvyBmfQknWUJ>F$t5I;Fd$B;Lcl-rxJT4?Y}DeD_{^ z?a!*IdgURQ=6TxR{CzKe9mLgfJy-8we%tMKw%JWy=+5S}s|G83F6ZJ>I~#Pz3gr3( zefsz>!k-WEXPsSi6Sjd=rP5d9;dTmqP-PEBi?FKwx>G5oua7(Elq4wdn>dBWL3TQp zKWF)*D$B7^Mf<=-YqnSgu^;Sd17*RML05?*rE*n#C4nI!BvT06Q3^A`3oHtW3mz=w zdmfa9C@M>d7_vfG3g$l+pfg&&%7f)o{oIgm1zoZ43F=zy&Cv?N3BE9-Fd-NeH(drE z$yT*e&aa-=DF*`kXAbw*BR=}l*fcedXy)lnfKvNx<0Sw*9M_)@S(91QN%BHP-5qQJ z_=e)x_8(#ELO?ZzQ#Z>b@H0pEZppndplj3)9kd<3;WRpeRoxT7D1VHXH} z9z0y3i<5NDauGA|v9BK3nxgNrueI|#K+!cbx|IbQOmqTcv={QpD{46S``w$i##Owy z{S%JvakW|Fa7a$Vb0_KA`@Z(hGt+T!7$2`#UEvU8%u#Rc>OGW95Q^KJtovlI*6;=L z<|-%Ib?7~vYUg`-t-;zVm;7d*<<$}By6p#s8qrr%o|x>YxoiF-St~W$#Ueg(p7&RL z=abVB>cW)?PAwIpz5lVYu@K#;K=fYY(~l4wetN!bv*3%x%n|LXPeXNg%l8M%>rc|k zB&b&Nk&P%Ri^&Nnpm%@+SW_DBl-pr*Xp+BI-)IDFN$(fof0m0Bik0F{O0)GW-ejjyZFcI3)!AQuAg|9nQ1c)gsafiNOsXDM2a%DAz0o1)N>aZ_dX{(U|H6Dml95s~WIn@>HMKXj9rPa+i;V%h4^33My4WU0^a4kI ziu`yrg#693&9&}`pyyWokx?t!VKYh4_4=uC@hreYCYQvbV6!!&pYYYrL*I7d_WF$T zmA=bgqe|NvL_4_$4rBv{TMQB77jom5eIoxDMxH0BK9w9IfzZbaD9oDuZyTM7t4kv| z44SVinck3nY6uWciaXR4#r*C|Vx3r2i1*yT2%pS%AI)Pl1{+5D2TupT1f(>zrFOlM z3Nu|2@E4{L3of&B(7(k+Kk9AjrBc1Og%AeV99maXtMa>l&dV)SmPPueqOV6w`@^#} zO<)g6+weiMz1x(!rp)qgn|%2R&@ypDGS%YxKRFJrd-6N)!!MA->K%vs^^d|B znB)r-w(45WjFot_Q7ER~ez#d>Nz+vTHZhzgl~odZY<6t*<(91`w*HwqRBq+4pQ<6X ziP}dA-a_J&Zv^v3d_83wV$O4j0`8TB%`RdNOkl77%<`lsx$4(i+Eq5EvuSDH^;Tx4V`HOTPbAS{=arW#uIcB= z)8Mx7=ZtG6(^PGO(Hw67{Vzlmh6)+z!%x2P!fmSf=WvpHJ3jbIT1e3nTJVd{^)QXm zn{!gT8IMXg!qRPws46R~5mVMa6_Z%|f7K*>czP|MOFZpaN`XpGup9PWu1nQ#Xm9R3 zxYMn(#a(=eT}3i(G(gBtIaPc9I+1t-8RK`arC91ZY`w7Z2LT_Hg7pvet08(M^R5u= zcdDYUMSq_3wbRg_Xv#?TyYiWxqSzm@XUbubFIuTliAW~5!vk1&^^kySZ>rjIih=GN z5VPL-ui@4@uE>!f~!#5Qo{BrDl&`VRiZ2=KGRPy+3%CndIxDsv)rU zo)~i0e@YlYiKL%i?Q~-Xt4@Xdb2E8Cb<4|T#ttd1cr%qgEwUB8 zcUEKtx1GD~bfgqoF>~$4Qe!y$k)illF%rXTewl7?Qj7o8C@!cEqn(E3r3Ch&vPumwC zAUA&k*7&dSPSU-Di{lj1;)VWmgAsw&gP?ix@&>6~7AngMn|uTuLpSnf0PFEh^^cPe z-fBeW-&)XeTPpU>_HkTKx(PObz_c(d+c8N3-~>MNy<>h%Me}yaU%=$FPT9yawP{t_ ziFlk$`2*!KTMf_&H=?02pTmrfLaG)*M*F}N*lm)fvaC@nSQntr?(F`=v{Pz>B|S72 z``{dMBWcTpEVbZiNt^$1WkhD_H$@7G#e>RWwg;(2GR-5_{6$^{AXy0ON zeZ6s!r>X>c)(LSoO=#0`2ij?3g{P$VaRB+cWnbPe7{i8AYb_+q<|EW51+c2TN=$TlyS?cV>hB& z(K_rfK;SmlCkeD(C|-sx5!8rkB_H9?bERRCqHV5o?(iq2HbPc_hq;}VyTZu2#w-`z z+B`(Y{+pLH8zXD{=&m|M|E%e1$*KBkSg5xz7861ysQ0g6YY4&tzR!I@Dh6`YcQWI} z_4V~fhi2ITpVgeSO3+R`rzyPAYjY^&P`r7B07xqWR&hQ>UB=bdMu_UVi#LV-n0R0Nv<$lamC z=C$c?b-OpLDGs#?7<#XOUzHLb-J92RXV(}0-Je9jG_-xFzkOzkl2TkOx{Kt+?n)|x zANvG3_Urtk^&rWxIftbz*`=F;OLe}=H3+zCBK zl#VWI`=&un?@jogjyTb8F-Dl?%ZLya>D$FMR13}UWfTnr=WC?#=)g&AZ^e`a$%ijZ zwYZXCty#znvg;E0iZ0Y_>j2Ux!Qi z|JrKSNgt1Zgp7SFy&>wFN2t@R*@U$a(b)FkkbFPSvgd@?i`LASRvNceLVXyBLqd1A zTf#BRp10ebbnni-*m%he48X(k{+9jl=ZH(Wn=-CbvZ7xx69dzY)iums4u=Yd3bJ>= zxg{=&)m12euG3T9$DJceJw=p*!__v$N0FOZFI_IBc|7GVe2w1J?F{m?y+iib&2Ko+ zKgZk`8EMBijZYHS;QDke)K*n&AVr;R-gK3R6G&Cv%8Z<+7dNT~!4xtP{9S(?t}C;B zF1CIq@)axy-V5@ptL6fCWGFR$bv|H6sNWqgR@tu*X>G?E;6oFdc-Z+p#UAt|th5DK z;V$e4YBMY8_Ld5O0-)&15A2z306j`sF+NN=`F+BWsqrs>#gEIgb#7<;+u(cNXStc;k_K$pQil0rhjy;K7!*OwUJFcm}W}Rb-$u_^)!9RnU1@HMCLzT(Gz5?lTE(? zSy(}}ar`j@gKT&dxi{D=K2$+A@?p%1Z@kE}ZCBJhrqhEDa57V6d#}fa)Z%3urv{*| z@*Eb)sEXYmuf7)8HGQzs0&Hw&6dswy%1aK*Z(U>u+XLWrM{x`^=_{02e%RKMgHJD{ zyWXWTbU0hv^xj5Pe({apMF#fXn$m_5(@3IxZRZ>@( z`!`Nle-W_F?&}vMh|jzpG7p4hTN&JpCz%3Nf>=#)Ug;*O}I zDKw~tsb9CvD2usysX%O(tLl9LfSe9r9);o3K8t^?{gM~{oT@(fG$rY+^DItdxpvKF z=!g1+w))0TZ#YD&y*T-X1v4&H3*RI@wtLStXAV~ZwfO=ESY`O-o~BaTOX@$Dyi&aN6{^73Gb@<0l+IQA;Vn3Ya<=zNz&bDbu*uCkEoAzP*d)svXIsz{2wJ zBIfC}?xawY-5!x$LAr2No(jF=o{l-Pnf|K3=j&O5h0BOY;V$;F$d7uurE12^Q-1XabQN%^vO;OhaV_O=E3|k{hxahsFLq9w zPf=C&3#7uh$rC`vZS9$N5|lQi+B3186MIVkls$kKOayB4JaFi6zwya6FiBwqn3$TL zb9$3iW9|mI^3PI>3pr#XXa?Rk{7K9@^+l8Wwg9a(>U{bbe#gX|fF4Tp$NiB2$*VTKvL28xMLM#Dfr_ms+Q|b#w=aL z5HVV@@Y#+@eZ*QD_aXpU9>iwiPJM&kGPyvxr=zoh&Dmy@;7mzBgJQo#eODLNgB@$3 z9KePxPKRCu3y!)4Z4Vtah?k8bzymNgL*a!i&agv!U=R1%d)5Ts;0p-yX8v5Q20<(s#wdvqA@I^DTUcUlQbCv(D zBvAdlDeG^4X`QI`nD&$J#_bt{Kwi@33B+f;^meKJk`#*J|u{Rz%a%dwr^Rw>UgLMknuH3|V4Le-968e{uy*B<0Z5F~D z++yiZUdMxbhjbu+{899257Dl^{-Z5$sqtApy941F?B&7_yT_5ClE+w#rUZ$TO2wL3 z#&FXWp>slXF_nbrQO&mW>Ao|ZROl_I##=I9%covTb}%D{_XXqemiD9vQudRW9kl4v zvd7W$-7Y^>PBL9YF-Ho-|2u>rkB3m&O5^g~Ar(l>j5+R!@pmeZ*Ll0IU3!SjVbnJ{ zpi$dM;*WKrb8~aiZGQHgmi3~Bzjvn|Gr?3BBw61{(i=Fe1`(Kf`2$!|Dc8LbjW0UX zK)-olL*VtVk6byx_p%O%yEwIYoq;kXYlaYcG+$-REu(yXURhcBZnM~Y_iL5?j(fVB zgl{{1D;0Af7xl$ZGdR30BrgpY+|J^;*-@Y!#R=X_JtMr2T0uaPY(^Kwdr`}Y*4$*y zn3t9jVy()E36`yO5kQpp>Qvr@i#}8dQbWGd_`$3@TA!PaQ5|>7icMr<`v8;}hpo;W z5U1NHdhFKO3dy1%YF^j$pJlpEtHo^Yo$X+Bi?6Q{TkMOOQhdv$wQ_>n&9A<*` zUjk@ja^&Qhe%U%eDHXgQkfBY-^GQ2Isy)(QyXQ0;lJ@+3)|VD-1_Q7)dBLp30`g024}C1X@yQ zF~Vw$%Tno{E5^Ykv_SXiSS>mR9WnR1lZlkw-sk%y_M;r@#?@7eAD(ajHa9Vk3#fRL z@-!%<{rYX$N-nVu*xrF+U6Pg>mR`5D?_raxQn~egS*CNCRAurfWp_LLtN83H)b_+! zs8}QB{4IuE=ygpvTcDLWb{%+t5P_ukKBS&Yl{7|Hiueu-MLp2jgo@?s_}8h*v1+%}` zIgbVRausXLrR6NWOW}rB4w>%20nlK&O0Vi{O@EtnM_e!!W`+FwwV}a2Hayu&Zx!j- zTV_ki;=bY0Qa8y{M3NyeOU_Yz%K662JdKZL$)UOLmZHsiyI1ttQoTcMtdj9NDC1Ki zF5_>|sCGCK7F|qC zK-H-qAl0(U??RV&d4C2>HxqJhsZp#8i7$ae3mvnJtBA~vYDx5Bb`<);r7wPpRt{hX zp`&aJTc^!;e9OsDcJDZVB4MR?`zxo-V+RPr;o(oakC<_4rwzTjN$L$(lT0lSPU=%b zqq!Jxw5m;ISp6%D!4j^)KWl@6u-f0yq;5_O3=aP4ta%nEQ>NBN)Tc9++5at@667WX zDPRG3)8t{?HRfV^l4z4$RDZ3bp(uj>|)5(Dxn`i26I!`nu5UT)cZAu z#pnlf#kSG{Or~N|lz#lC1C5=o=8Agl+v5-P)N^5bhjM`zJmkWgSeD}}oqOigMl$qx zdgE7jyEb~NpTKF>3&#Q53%2R_OPq~0NS1uZZ?j(*R=B-!W$q@w4^@uYagp~@{@Wf& zX8QP(9vm!ad!0;^) zVYEYyq#LsG`>_m4;dl9XgS306^qUKMkI)fdvm^2P|2`_7Vo z-DFr}kL2RR@;s^6BsX$+>_HC3b%WH;l*1xMld|b$@Yl3UM08%M8Xga^>!IXHeZck~ zE7H_?b?K|e9G`*R=at61!kjoT4xZ6q$@hDq&2j0@XV)_Y>dPN^=h8dnAt|yB1Rnj9 z<77vtQLaayBK`if4ai=Ac?*y$bqC*Fo&ruR((=5h<3CRiaO%un^j#b+lP~9Ia9E3* zhB1>h9M7k|r#jGqY?a3VV?)Dp$`#3ZguNZwZhv8O9&S+SNaVO|oSd1;w3=G}k?6?# zI_k43B4f7Z$1ker z35>t@UOZStp9=o)+u(s32&7k=^Mcm7Uaw;LxOR18O-AH^QaG(g%RdPs>MeK!F#9;# z3|C4akWBl-Ex`55)@$ogEXVrC`U-4iDoOS7o0kXjG{3vSo`a8mx189MWH+V|bEdDD zP{T5AKj6om3V>Qn;`zzr%mf);K73qaV9hn)2osg1aazlm9sRXJuHtN&wSqOG9plB1 zy#lS;(twbqB$6f;3&w;`AL3*#G7D;8@V;so2YDtF;#KG4lu{@YO00B8^zNkb*H~SM z%#}QCFOePkrIbeJh{y>Vg>IWji(@{cXO07WnOuR{^@k!g~klYlLCFij4~biVx@wTUxJu!#N-E9k(YjK3qx*032V8I-aqj ziG%rlk!)wiMY;0#1gj*^d7w}4idkXOH6L|8S`vhc&P0~Pycw|U-A^`&wj($59J!Aw zlafyY0XTA-TN1Ag&5%DjYq%4r|J(-{rLU9U!eXHSen4 z^Vxz=c&WQhW^jG7I2G3)*L$v_w{j1W`Z%>`EyAVyhjCBhh*E9uKV}+`X??A0T}1Va z@

    (jqF+SQTuwezA$@7)@eGBG4IW&eCsWt1xuNESzRdLS`NUp9$UzwVs114&UBCr!erDx7qpJ$*8~ZKT>x}3?TOmMFSXcL`@L_3?;PvThWV-4 zBgPifk)M04#CGjkaheZvd4bKT_9U43k?A7D!DABk@HpY++f5$oDptTCxTpO0Sw*5) zX*{M3vtFe1FH^fn&O(n!loAg2>tUXpJ`jhZp3Ix5=elF76STy?p`R??ZF)xNCwwr= z*t$^tqfeHdDpizVAeaNU0rK3hT>ky5BoWFOgw&^zzeF7aw6_W{vF6{FVl^{SZ=*(P?XD9prSWs4=nxe1UW_9C7dbE zK8z{Z6Cfn-#ZjIho}bW(uK+nkiNE)zd#Txk0efMx&_x+cp1QMN|6JfO!r(S15XUyZ zYO(9#{^((#$t@t>M-ElLTrNer-j1r|!3Z#U5i9l6C_npFP#{I~CM|im*!`fhOZWSv ztw&cpRH4w`?$5=+iQQvJjL#5irxSBCO}64cudlSfuS+|7hpuU-dmV3)hPWbsDdyDl z@ktz!531$rpgM(L00V?HmMyL&XHo|kpdhfum90!Fc`qeW=4Zway=D}3(xd)qLJFmB zyhU)^PBzI;95p<&a<&no{3yUN}KKPw4uvf zP|AP3Y`JVUv+I-mq;mnf1$v%OugSf*gxZ1#^ywbcPk;Ecw}ngLmIG+l<2VpAZMud&u5LN7Lw#6ZSME&Uh{@;h!2q8-sf_t8%M>_f(3 zIvSY20*mr{N_y8}Qw#D#RN_&YG^<28XKSAW18(Q z5I^O-=XFN;7}&eO@1dfR;76um>~5^Rn+;+Boz%gUsFO$^j-XFjBNfGg>*~jbhE0!- z!uRv_=aZASFZ!%rCxWIagsOE(ugM~^7V@%=hjZWL$UOF|^ru{5^}sWFuUOu& z%Ru3#r9G=S`fWO;#;4kPwwhP84p6o0fh@HfQft7Xeli^+EYx_PhDN{=86Q9rX=N>2 za$zn%uCUKv_kJvg%9%Xciq9C*@DEME4+cVJX%%b0LH(-b^>dVNtU&4{G9b?(e1;+< zt5qE#GrG2=$Ffd32}6ZxbI)&IOm|lwW&{qcvU~q$G{E7jFP^8#IG(oPR#A(1{$1J~ z&ZRH93CA2vjc=HNHC_>2Ns!R}Rypi&=Hty}w%%KvLB>4Pb>f=ut~^>)Qd0iUO_cp| z2}D60pS;NPQSV_<>(Gx~(PnS39!9bK2~n|zF8uDbuD(c3g-{SPlh{Nfr3~)XD1V`U zKVenF<7E*hF)hHlN?_nSFidj7{FVinPdN*V88+QEaIoBVUodCdAf0XHo_A@!GbvTG^FkOhj~*Vw&O(f6U$qM z$Nbnd@;_G^UjOV$0Bw>DvZr}wKw1BEH=<~}KCv>FZ)39!PXD?79+*?igsigdvrQaX-je&#@c+%z#?cn@{| zC6G{J>LdxnKLVm;zDDN{3}Nsr7=9FJ!!Ryzvi-!L4p1yl0p)XuAv&;rB^#`M-%#2<*@aFm8M^@Ll*}o_|nS4LRQEh zXgf+Z`Kn9Q5{palw>;`6fP_EWxS-y+ELF^H)uYzHW!|Hg_CbdwRP&VhS98{-yX8bV_K#g->cb<||y z{`@Ap?pMky=7{)RivOLZY%svf7G~U+pAL-1Ha9=YU1kVAH8&RJO7_Os$*^KN=#|W6 zTpW<3C74DXd&2jYYAn@K`ST%R!(TAulb@n6-ts0{cW;+c>3506l%}m18go(4Iy+dO zSwLmSwZ1v66_-o>UU`?hHhxYS{M1k3>hky{JYb)*j#w1=sZ-B$l*qKn6>;j}mvGZO zi5($i2d&?|`1@}>F21vlRTNM>pJ|)H1~hV^=*bY$C2c$epVIn8S_4i!uLZ#<%A?bM^92FV#<7SHYS#AP^1?vvuM z

    zSOzgk)f;XVUG-LTgmGTpq6I0bp8C6DYvat8=QY~nNILE zgZsqL;@ujZAG8puZ3v;myV-xE@|IxB6HDXpgX4rocBpPc^dl@&P`bp3wv;OyEaW(! z5SQrjXG)%+s2xeA5R_$JV%wq8*3`Qp-udUaHjQr7bv(<)Q2zR4$RiiGf}BoFrMP8y zR@SPs7E%72ympq{*M=n zjgTQNtHsS4(!UKjH9~Y_NM!4lmOSlDxukwm*ryBOdQG~UvmXI~3Lon$|GEX*8(KuJ zFFjV@kqCo~1SJR6gaLv}yWG(4E0xH=h%UA6s=aa9`Nr+ZPeePBgfx9nAs*fK;4s#0 z06z_m`*@-FZxKAzkMC4arjY@kTZdhc($C&gwh1O@9jul+)W_RyhQXITXFP`Tb^?Ol zECa=!-FeD+NBxh6+0LFvSeLt-`6w!}310heiMvUp8W925qTk(-*i5is5{#8D`p+VM z%*kATmV{qoH{Vwdt#`qc5Q9Xa%#Q4Z-m9kVy<4j3ri=lroTjoK4cCw0`B5M$;b$m12p>9vU}D4lCt)NO=z+MA zN{DM-l)QaBiB024<{o}~++AN2bqv$W{_=9j0T%*(z8#UU62S=#kN>(tUm&G+OL@Q5 zrpULIBy+m$5)vGhGAR--Wu^A#l zNThG=0voszBo0=xGW2;Ohq)-qgcQSCC*T*BkN^DCqTlL@4D{@+(=b@Xi_11lI!9rBO30S_`aIIc)yvLng(RZC^eIcUeC!sA*6W z?5EJ?wG+T=^$P^-R;2v^kk0i@1K(7OLG*HO@Cw5`&R`7I^ z7DL6E^nRTF>|T2ub2Z-GqHS{wIC|G6S7jRtKf9{hUWc$IwU2yO)lxM@X~V#w6J4Ea z3r#s;usqYi@UUpQZvUN3Ic)p=ctvf$n^@7$_&&YyiJ-RPo2^Q|VnDHCX!HUEOYK$8 zu|i&~&#Fvfh5pIX2WvFn!H%y{dZEKsKNqhm`#-5C??b>Oq&%+jp_|vX*%NN zBr~I7iOX-0-dm&+oQ3$(3FQB7d__&AESZiBMFluQ(`hk^t3Jj@9DfIanA7VW;;v;{ zKA`+27g~LQAp_kfOI+IoyE8!mPvr7!VzBNwN?qaxqZaX^^haycBCW={Dg{1zG};wN zvD6lJm%5vIjB>6-#D{t;4Dv8CR_6-2TM=|yaWvYHp}wB&|7#_fo)>TgMd>{)%FTs= z1*dv?z%>;aD<`D*?R^n#^ZcwE6RX3w2N0@bnCSX*lsWJ8rYx}hjLFgVCJT~h=M8nF zygd7IqXxoBX-5wVi8(wmrA{#V=|3C>`F>Sv|`rElhUkNE*bT_w? zy(8aDmfFPTd_*ma2i&oCV~Gn{Z|d{L{~*DIzD_7tpSvD?0WLNcqwstzE~cO9o7pBB zt*kZ|7Lmpgi$Z1Hrtqx8vSas8;7_S^ndsKi86MMeh~8sKdND zN*=!)I-s1UpZ$z9$Bf`5D@RT~d-+j1-v)p7*@$xmb0G_Bm2XZZ=7)X6xcQpLWYM2iibj%Ag!PO+mnI?jsS?D%%|o5)Z`=|D=h?2sLTS^do&#u=!Sag*hl}ee@q$EUsEF+%FO=Vw>+aF8JY#L|;!P zNFh+xfsuK%S`d$$q0*anV>kUGmWK|)c_OIP3TcQ!5%)hPLL0re(g(FW)$9MY4WZE3 z(X+FD>x6tt=4V0&Qr!TxcRQIR>oT?uUZK~~cr^v^`r(%>twiI6m>j`bFS65l*uogk ziL|Z1MHY*7w3!r4%(N&}p}LXV)gts(Br(R8n}N{Qltb<2V0u~nVFYrOhpFzmpDiP(q&-xmz34^edF?$Vq?HDFd^3@^ zT?6brSuOW+^X>!c3r?#ed{$XQZYzPgo$1dzppRbXouxM|q)$!CRSiA6i%mdYArW}Q z%BM9ywJsNe5HYH26=HLIe z^uK{egCj{OJk)xprPsKJSC5$PTCKQL=yvsh%mY2m27*Mcb>|*7-|Bq1Hex^gVFr-v z41{9iDf)fmqOMpEIQ#>#gt{p=OErRkd6oTw4aQMH7~`*ob&NryR0(5aBmdI2yFNw6 zu@UC7PBC;^FFHL>h>dz{K#CW{=5IaKnBpbYlm)UM4ro9-knfsc&JYyS@=fsSj`Ai} zKP)DZ^M*GTzKsle{+QrCIGx&1bvGNm%Y9C*bo*vHAdBfpEbO-z^ZPhOtXQwOer);{ zY$X4SnEr(!c2bw`5dZ>}(hAj3Ek|VOG$At4VPmT6WB0$jp8jVb^K)V07YH3%lFI;y znZ^dxKYy&tvR^=MllCg6w37Jkth>3i`Z5e=6GIJ16*8ilY6(7n8&UmaG5DYD--ptC z17u$uD|=ZZto0BuA9VUqKEn4^u+1bndAQ|4)B4UU#=c)F?VD?r`XmzBO?1`~mYqkY zi}{`as)2oj@X4dZk2XRrhVwmt_t-2x|DjQ&_x!Qqt}YSGEOLaZz+3}V+(NQjx)T}% zZVI7|!L7FXmE55$t2azU*Syu-B_;klnwm~pWsFdT^G;b^f5rf@t{!Bs$=fOf13G;q zOSYu-`!NwYsjGluD>qT8T?=~{>hz!OOa%!eIpdxXgP=>cZj``Yl#y%2rTLV&Cpu>3 zqz^PepC@f%Sf`CuNXZ$B)Au4tR|Q7S@~txK_Ut8kw{Ht#=m=$EvgVzN;+dUeaD@_J zGf@hv=@b+a4OnQ){70}3Ay<19OlB>SS5ACI?|t+u${$=#9F8^niVx85240xUnUJx} z*NWQ^3!xJks|u~ylqx7c^^@$PP=O|z*N$_CPCMI~maec^isg(?Zr zIUVEgtOezzqRnUU08+nY#@M)gx4ClR$Rqo+-P)(u5GKbduXs9zaJ6=Fj(%IL@eHg) zemtz~=>Zl>1gy#W2XPnO6tVon?*jVuX%jx;QU0kKScZpIKg!C5gGkYKyLG!c7Q>!= z4T8lHv{zgU?ch&$KJ#0f8nE4I5F5v;ut?1?`{7pif+QPYZ z&r)w&{|jHRwY^zrsr;LAr0{Lt%a}KEkR?^%<_n#(v@_ti zKRx>IYHJUhtM?%C*(bo_Dl$nN_s8a|7jY008x8+h(E*5>wRoLUkS3eYplsITIRk5R z(Ypd3!@n$*FwIl!6<9NxG&`h@?aPD1SVB-3b94T(8-#@2P+B+h~8D?-uLURWpZ!sC!}DG=Unly z(i6!JuwiKd{S0?6t1YC)$w0IJ-mKexqW@59`cw7gsa?q7@1bc{X6|Y5yJg4v3ymHS zQp$@~gA3a*B~Hn*0YRO_V$VgU3aN_-Vxz6vVZ@bzy!d~Ch5v8o`=2?)ZVS-1i_yYk zFdh43zn5`0_&a$>6EQl`10Gl1urWB%tHiWNzT|OAsx4-9piS$LlIoVrcJ|9U-^q7T z5pqmj#cUo^+=C7N$*hd^k9(cjy4`*zm5m_RetR2{HJzrl5jvh@zR1p5XtwQz!wcv8 zPDNh;#OL>RJJ+fQW@^l(TZ!(+?TLi|Atk`zXp~$i$fZBo*ujOGobb6iB5NL8!WRP*_39mK8e6)ZyQp|Bss&n{l- zFPc9%x;n^3b|2`&z+zui&0(Pjqy(-}O&kP}qg#eO<(^HQIdRQTb_1*D{f;}PqFH!I z9KJ-kQrr2UUL~lJmgiAE+a8tbZ2|}gz9#~s=pI%Q?#+IwV`_lOPe0(fI2Nn8VH$*rL}-8V_!Ob#?nY_iov^b%75M zrIkLs96mcEVo}s~Vb=(U(#GJAD|M+$#1uLChGE2csi**-pK*AP??{}{GrSXH!YM8o zw&dVwW=-k0l+%~)W5e30^h$M|_-TRw=;hQr`I+9Q+={CHo(gfTwqO2R#M`LlYDBxM z9+<|5O02+k-BkQzf+wK0;L*`P5V%y`ar@zn$FQEZ7P6Rp1-F32E2gPVR2Y7KJ4gvX&CS;$ z%M8ZIKc}A0BxQmt0_Bgg13XR*jWiTDssO9>_sV~6-Y>nPHF``h$;zOJVgNfZl|NeU zYYyyWr9A(q?Cd`g6#sQ1C7Ty~IbbaCIiB){PDHYj4g|yULZgjJrAptJ@BDil!>V5J zir@|3D|kT)YIdLyv;@bYg)urd{YlWgQL{c&_em?_4dfJ#+`tr5P(Hz;G3-7jG~b!z zcsZz(u%%*chF9*ES0(q2s}F?}Ii}5}=dr9`m&Dn$bfM{oe>02qE@~r%!tT5>{cUr? zclT?2s@*QH&IzU2gM|G9KqL+U#LdPd7}Z8eXvy|0;KEL55NwzIlS!at9~oQW3kz6R zRk`2yMvGmW^^F6eQkABLpC}|GVoj8&9#T_-RAhqqnN{o(%Cs_{z|lJ8`sl_HEKz&^Jt(p+y4+=_pMNM6jaNJSC5z(e`1llgGyvpD7`R zJ-YAn-{2$p)T$r@0;P-2an4ommzZPLYrPFJsx=18dZI}STRagc`7$3F z7Y3yCV6^pM9d9Ossv1-*WKTR``$1fRxdG7BE7ACc9+;{~cQ=#jo)^-1p6!*Ml{Gv3 zZQp);{UzYA*tKqXEW-36MVR*OZrWpYC7pJ{ezJz5SBEcb73nr8do(A+&>^qQx(FNg ztELqH_yO;-M2P7?B;{ok!$I@Aq5-9-AQV7$z{4gJNEu5EaChN-cgu zY&1`&!YIZ-`W^<9pU~Y`CP)x)y**kV*_c_oa={W1@><}|$^(j>DAjWPEMs1azs3L| z5Sbc9hP~(5ln{m}ySrS0L*5ibY8d-orW;>vmo;Da7>`S0_u}D8G-}pX4xnPEwH+_c zy5gEX4W)u367nA1tp?1{iqpTAO89kQ;e!pDmf*csf;M2|wB-T%l6JMFK34^?8PL+_ z+boR02Wtg~@7hDVp3uFcbqHV)3A!V#U*vo`>)}y?qTQFJ50?5hmRgIBZ2^OFH5{FlS zDq)^rvx8_b?KO7w_G*2bs7IBo$>?uvG(YR*dAG0@=70Yeef59uv}F}QGPwaeCfh(g zhpgllk)tN~oSa{YXkb#!wsoHsd>*MBa~~SNoyXN+Nh|*Z&gOj*b<}$oT-jiOj2KJL zsG({~PVd+6fdWyt$1w2CWievT)D}MquNvy5$K56C*Ew_gNOQ68C>#O3A92+*G`w`r zs6Fz-fg7~I6#dAq(~}L666oQybV;;#DW-s#YzQpD6WE^mU0bAyIYf0?_{}m)D z3l6fPFNPCB=joXF7{9e{kSXB0H_!=qjsNjdrieeHbg3KR;cr7!^7ZP#6=$~ zf+7}jlBRS|TGc5oD8Dai?Iq5LJg1+`ii%&I-+35uRs>sVr#JVr*7VDN(x3o`rPWS* zEDH+>jaEV#T{~T>x+gv_ znGbtQ6|iIcY__p4Vca(-&dyEuOBk+s1kzJ(#q;wKOd?R=o{dMeIBpzh$qd~S5_j{t0;H~uO%ODTq&_ZTD z&M5-7M=N9_UmZps1lxsq$J}gyO<^4sl+57O{d6UV7p}kWKLBY3pTQ-~5Nwn@HGVbY zH|!T*O$Z{+haEZ>@o=>tE}(Cpmy7c$(OQotxDotNJ`*vzyDbdLwm=vAT2;)=nlBx&LJgZt&uVE z9OX(7@b$o{hYMX=ao@@6pM#bqK@HfMuR2v{JIdaaT$>Cr*Uc(#@Rn|39X`NH$) ztr1wpoZ5^>C<8`NP=%x`A2^V&<0w{q1hqQ!=%wLxgTN}RkkoG}$LkIMF&X7oOn;@H z81MZ3jy;%iWQsl9d>eM?zrV4A&)ipbhLO9&t%86X3q2DYH)y3BFPxC?LGF63 zgNGF#e(U<@7`L!(WP5mh_RKnd#ha2I0L3d2FBhCIu_UIm3?a43>LJ2lwG z9q;(@FU@>z)h9WJ4N`AS0D|jZ4WYmr)N6Gfi*%e#bhhYWy186y2(IgpANlfH0 zv_|W{PrG4r$ZZhz*X-=$f@Y z0JT8|&H=Y7O_JjcQ!|sd=TeSLC0h1pGU23|7nvkjZ?;_eS3-T%{S)DiIU!lgS)Y6{{d^ZLA-()w}F|gAl9~H|29@(yF)V^k=_v7@x*ie60`KGv<5PKy<$T1 zXHlU1DLe2O`ODgD@H|kU>K0(McUpOWRi(_#19){`S14=1n*+~K{xDH!zN9qZv__4` zUCpn5+6JT2M&ORP3MkZ@D>aj3(Z_vQcP6|V2}+(yN4q~WwOkEOA)~A^dPBMRTx`VK zphW8IjJu(+kPT-U>q@{TpEw>V#)rd25ml3po`u(QYqspplX5-A{?Fg>zy1|e9N;W@ zZE7=AONUnYbxC+-EFE6yPxo5jH@IT|ei9;!(=tGw8j&~Ka;E})t9^FVn--OmJ^eaf z$yYLADMO107S)t@n)@<%$|m z@M>4_*TEroT@(Sx)>{kZBqzX|5@-cBvuRaW{+M*1GW}lig;0*D_AB{=6h&aU&S1K+ zTGt{6#J8f>uN>Y|<`DJsAlrq~Zrt?!r8|}5GSn>9Owl2P6WPdxb+eGelwsVzkeoE#3F6qF#ZL*Y32ii^4%Dm?2EwfA4PZe`FC;@#d8j$Re+yNX{bM2*AJwdpPJ2tq}&u7jt3XZI; ztP9HxRPMU&jFX?Kt&lMkN zO(5C-^SKJF`6^Uvb}=(eL~g|WV`yDKpsL=rWD(xq_bPXtOVblo3Y~ssq?=6DXesf) zTIKRyUz{aG=%-F9MA@2(ubgJ9t4dTf(hHUjtT#(&CWNODaN_awHA}fXy+Da?!F_M6 zC9&vguAYwlTf%1CrenvB_V7 zR{()!Ym1aofP&DMSTt z@Js}bfe>{PzLl^Kut;vk;Rf9okdXaJZ76}61m(k-ngY%OwNi`jC>Ti%)jZ`p^mK6) zh3xIWg>)(-jOl2L{<1rci@o5KuhV=K%CRJIY5F=x;2L|=RtR)>A$zDn#~AQKf#&@( z0bj`{1-HPnh}TtZa9iePy{gHApty`r8>tM)O6JO@@{tXuZiq9iSndoCOAc(@E?|lx z2vcSzg$j}LBMl@Yy2&F!2%Bu_?DSA8+BC!BtB8kI1O51wn;1c4N8-RAg#i9GdK@)| zz{_cQ4+(?}bK_y1f!iD74O)njbJBq%eN%Uh-*&J|^m?7V5TzO=J|vIwZrkC4(~>`e z_&f6MOJd#tk~3@&f-b1FKlBjwpsH?um>P1#oXFS^>@O%MFjkfwk%ZD!c+i6hn;}ZE zbW1^3qg)}5yjEHq?*v&>FK`)wGcOaj;U?NP)coE3D_&b@y3)4@B9&Cw6U%@{U!` z=q;Ky@Ak#=`xiNzg|$dF3W1pbBe4j1^Lza%Gt`4}f$#IFlhg7pRK|=^0ibw6M+F@g zI$G^LR+{jCagDP^%1Z5uNK$3B)RA`{!}Nr2w2xq0*|?VkDP_K?p5+9Tmb z>m|Dt8nIIWo(EgtM#Es#?aOCwd;XKH_VNb#pItGw2^+s1 zT=dq3F8c87ZY+jIY2x5p-y^q_eWzsuVdYkMJQ0hxV74kc;Ylnv(i@O zoqE!!oBE({gf#rO;qp_KGe&NaJ0Y*kwi+a9W7IMt?ZxlkpK52PFZrm8xfVBS&) z_g)RS;W;`Xesnd!nN0LiM}))gyc#46bTu}jx%LleWhc_B>6tR^Z>1M+Kg@ zO0pLMT0n-H+D?$rG6;r%My+Lk)MWCc;oTK5SC9jWSXx{-XFub>GB2ThF0G{`(HLPM z$^=!CZ@L(@58K0GjiK-{XJG-6T$grk6Fg#t7@^}1UKeCi11>{6c&Wxghmd$e_6k`o z2IgVnu*tY^XH8um<>T}|2qcodTq2D%(sntrU{lrDy5<8sgRK;nvGlXfE7QgC6v7k* zW=u~t*Bs|A_w+jt-ky1?KBmrIMsU!vvGe=MoC=mEs*Q)rlV07#5sBh7(Cja4>!A*ChZ9w%&WPOzlOb4B(0PiXys{U z;Rc!%p#6^B4mO7#ADURkMc0j7KQy4uOZHS+jJgh%LDMv=s5Xry?Xt_)ZNA3&4Z#z) zfzD(@UV<+9N4+U8xolj5dZ;U)Q9qJ!K9-24PyO;eYqXqZ zD?vb2>B~&CWLfY9%^yHid*2kw(Yk)mp|kYY7BP_K3mK&~0$4>dr9#MIe_@87LY@CM zR_E!qU|3f#d1fxt>M@|}Ju(B3fqN*NBk=YiKH|muB_baa_K@UAq^a|dq7~{821t@d z%Su+4PeieCyZ#dQ7c}{Y(&`3jVd_Y%dF(IvP*BXV5vMSw%~O|zLJKa)3MX`vv%}RB ziEN}9pibI3sf4FAoAn^>dODdfQ1NO9NtOSHuD4)|t6R24aS0?4+_mw>-QAra4KxJT zpaFst9D+6Okl^mYT^e_HC%6+FE@ywwyZ1i#yZ0ZgIajS(qsACjwRma8ou*8+_J@mG zp4o8!ZhI8Jr+APSmcLl!hBwpwoIn&Xe3=RIi^ipmZb+Sal{gkLSyNX>jp!+I^0RGl zD6sW-ljMTDGK)!rs7>|T-Cn$FEB!1&#Q*|SUMf$zhC*%~ky2tSl(93yq<8`P`uaPG zq*qEAgI85;M0lZ}&N8{HfQCo`DX1y&^wPXudP)E&LeYyFjVR2&($!ii zlciOSmTQ`8IcVmc@WYM8m8ZZ!>PTGVN?{W}ALm(q zSh!<~%>+ZH+N`m@M*6T+U}pxg^175!uj2oT_MMNg%Z$VHRV<16Z~@_HJqJ#uH9}^1 z>&}$dh9h)N?5;M<3?7JbNORqzMV#5mLg_Bab`ZN+@?Kqt@dZ+u>KcehActvQ{XOt2~dVSBQNp06w#6R@D}EM1_)4QOhsF- zWzn2QDO!$`6?{<}>Kj<;Vj;drRXpg5LO2HWfICbhG;zOAP*ONP(elHo=#Kym+_&tP1&T*NCQ z%?p`Rx@c5g3PC@{I!YLqUITk<20yCObpEqr^^nx1B~OLm2?tO}HztMQm8~q5fRk-r zssYUdXE?;?y{Uv~eJe&2zG)Cdx9RsBcmXN79UJkVkWUMt{TK6|lGYlBm{k?gEWVPBX zG4jTQx1zN3u-675!!LMoOhG1X1fb3&lP#IqL;yQZ)~f;}C8vtKkP@p#O`(lm{9|!D z+DG(cm!dVa;cO8;<%yXT7%2++G--nOW29t-gtb6_Rzyk%BecX=7)1T2!duW+@ba~6 zwEDp__5X_K5jfaptGvQ`4W)=E40k$?6@Nk=)sDtQBue_+X#S19N%Mp#2zn=X+WEf1&>dLQ6CBD>(K#9bJi${KX- z7>E58bG}c$&t)fPm1Qh@vW6AbUUnz%y*Ay4h{ayFxQYyy!8}rM@5N9JsEvKWBZxi9 z20JwVa?d!lLT2z2qzIk58NK7+U?Re7T-1Y7-<%N+F#-m!MR9d&ixzp2zeCV@rg2&b z20#0WT^I%H0I)UujK8uv88><)r4fqo5xcze4#sk;LAqXd+zl(`UXG5PT@@}eoCP+X z2Fvs>hEnUH3J)hL$vX8xUoskPoU3b9l4A11cSP(;w9&ui42GDW9jz3*6T%bqo@(+w zyXn(2^K;0vDtbY%7nCyi8g>iYjE3Z)tt}`Oy!sn))mR-{p`&P<2p`kSvVi^F3w#^# zc#Y1kfyWsdzX`uFlav!_o9%C1n^%cFw(KhAlkH4OG)@@l|257h8T=ggyiy4EB|wXJ zx*%A-qBwPU*ryX$;<(wiozHW%7BJoA4ix{M6bL}}Lc)-r?-V&WUT1oyka~H%hzVpn z9(tFLRt;kUJ75@X&hlgbhkkEJ&Z=X$2h5!J^*woj7HJ(26s$Yg>{pbL5ZNQZHH*bB z+1eFFOAaO=+0Gv{C85=JZ$;SM5HOqoO|g!~7LNLm%aHW4L%vbxM>*2yG2~JZ$tn<` z^M}#twEBXMVR`eR-R$aC&2|ZWwjjeibasr3gL2pTrAYfvO;6D`96K~wqI0AJf*~}^ zevO+>-E9KtW~&F&G`$2H@XVt4G&Z9HJ7=kh#bkt&=HGn;H*GfFP3c z|AoidEHR7xr>O)vN;AW2^RQq{mOoY@4NqyQYFeq(4x_NCG&#y0>(p+%9rG z;kKmV1@fONEP1|qQ~A{}4-HT(Un@@j&JduKm;3F*^$l5m+We1WP%i}~EkD8NS_RcM zR{3InWUZ~tTX9WKixB-?Z4-l@xhIW{T^UW}CG2t`9Kb@nYVUp2_fCEO2Jht8~W+5vyoJKAcAIg>97$QnrFH|visu`&PrZY0!xE_pE z`8v5r&3vib$?IK^41G~P~%tELS- z-;;=guo!**j(e=qJGmmvhEgiNvQCk{^ilCE>VP=3{c)&ZdZ*0dRW8uXj&a8Hv4xB` zDX^_amVHh}EJSK&XTq2;aIg00F1yACPyVn&zj_2j`c-M_2V{I#12a$wZx-XSst%Sq z)uHSTa?D}LKEyxqw$~ADfGxt^6b~~3KzJ`~%AsoXuCF#1Y-5I*e@Spk*-K=$CEO<~ z9%)8(*|$*>zq1Rn%Hk)ECJS#N{(UB4$Ss@*Mam=bScIZfL{YMAT7psWK_i zVwE6Cez{uqRUiT~iz$oDzn=F~P@3DRr#SNa(G}3fIXyv0c1&=wz7A@)tF(#;5sa^U_i0_BZPF|t4)nm4)-oq;ixmXl?vl>^A`|7Ayr zV2q1)RqO?NzdY_e)s&^6_#_li>ZKP36;(N{6*+AJp)( z3U>+N9X7HSyq4Qj%tK`MlCZJ)BsyqDBg$hio}LktPkT78?WU{ttp_aS;xcQme5B}zfGm#=&;ikQsfdA@$}t9R8p3| zcDAO8OdM@9#abOCv2X{T8`rE7T)4=6@ z^2gxSY>upD(M-3Jvi_24L=ZPrB+?idOCks}HA0K1>;U(}xyrdW2!L+j`j7~Pp;{hG zV1^xQbX#AmS!`U*?^}F_nFoOR^XugJk2Xje3wdo_@nRG05*H1BpkZv`i^<0Q?4Aiz zvKcydIN4IJ9$xj_*FZDl`h$GtQD>elo2imS(`&YY(`tzHUfhf+dKZ1!EmU!{eH!A^ z+Tg?~;4nPbW7QBU$|lRwm!iD{{7 z{Ne}2X~5T~(42dBhTIz}EK{Tpnr%2vsA(I%L8Xk7(N={))SgHXomP5*Kmwv z8S^w>)qx|ZXqoEH4lgaX=Qw+Y4Mw4lTRR)#k|=Z9^@C~A5oR9CieP5RV21yt8NIP1 zV&@;NR?TMAw#i};tdJ>BG1J|F<$n<*ZO=tY}My9vp@y&De*JM z*ggDA{9Ire%L@U>&bbQbEA1d2Kc_8;Uuhx*%BOG0UkjBA77{F{GsI^3=erollY}j# zgA~5{Hxv%BC3abpvofP_>dKtjF=;iwL9DwF7}Vxh5f=oERwqJ)O-ZaGxaUg^ED27Yrh!kzwZpv@ zxi_C{7F^y~2@M-e+^9{|(PXqongCG}i@uM(LNVJkK{pPF{9k2Eb7M0rvPx~Nc|X`n zLVmZ=FGD^&Ne{8dn&r35Fe2F7cSfij0Z}EiO|j1@51=+TJ&5I`rtHa#Q_Zn+B~eAh z)7JZcz}WKDuiv(DMgN&SL+A8P2ofZB?jj4@aeU zVnXDpSZgb+>3agE^1iFsIY)2B`Zw9Ab%+|-F-TQKL}^=!rtCs);UaDFoCDJt*=Uy6 z$OKPD;ygbSa3QpPBkh!RDi_K$Cy%mYP;}&7nu1W4H|&uX(g# zg>9Orv@=*|d(6*wbUo3fCzEe zbCB(@#7>@^j}uy35eRa=ShaU>v8ZNrT6}?|hSr6e;|}y1e0}Q?Wm#9@Ior=;arD%1 z^EsLmR{8kQxFvx|`3{Ye%d(? zoai?S=Z4d&sl&|%E~3N*0%RGheUn&Z@H2SZ)HCoOHcApNlV~D#Es-$>E7|7!mil&;7Qqno^3{MoX8+wJ+Ivm{ft7qxjcz~P%nmAlLRe*SY(IC zAb&4pf9Y@*2!D|1h#)k`pkyxVD=G-FP>Ja!NaSCJS2J1tbPzehDG#gEIM7Us%bpCG zOjMp0k=yEiS$nX%>>gqrWDs=dC4t||QX-KU5sM0)^sN&l)0x2eQiiOnV^fl}W`iBz zqRZ&Q`j!oFw*Y`CaUN;1%3-RWpc-4;{L44Mb3u^hm8nH(fhY(dE|at@Ej{*F!*S z6mP9#`vCZC*ciYtFBSK;fv49U4Ml->N*hzTL)dxb&hpO?Q*+bK@F$jHw0UgKIFG{a zhZt@9T6yEvi8j|kDi3DuNMV?`+g}y-{9%7|8t0t_6@-Y@);}a{Coc=P_|&s{H)k1$ zqM0OI?(5x*THU7GZ9Zi3A}|iw>|Bm!bFd@#fT3Yh&gY4RKIo^Ug3cw#XMt~z$jmGB zT-HQKK>W9_glT7{Iz8%fRIP3pgrsrTXe15LS=l6uOyJopmNZAGpI;!yZ~fVm6O*@! zfDmO2{5j2u02gmoZM=b~GBtV;FT?eLhb$zxh;Rq>Q1wx=nghs!W^i$nYp+d4Rf z^zPkR!@4NtzHh7dQUXxZlXWp;S+`xb9{^p1K!ze?_%0-h%sasJ5 zh+ckVo7b_28^-Tm%)pe@^~_p!Ou{0nRbm?R^Lf?Ew!>-BW=Yj~qUbwbR!CcVHPYTZ zqj|+(jLaUlL0`w50})xKCJrYhDs%8uSXD&~+Mf%#FEazw{Gbq3(;KSwET?B`Iy3h& zd<63rO2${XTUk3q3m7g2xUUGX9WL~&LpKt8B!oyyO8=3twg9QP4g z)m;Pj120Go=q%#oK5%>>K_x0#Rb;^{mgDS`W>q}XYgbzPkaOOSo#}jAy?xm`NCsRB zg@)eS6Um}?rQ_l!-kPof-&FEtFgW@(

    @TIWvmWa4%3a1Bwz&{hzTy*o)8?(F*t0;3EF<@wdVLjN2{o+BoybJ&YdE6PlZgUP*<-oS&x0? z>)^Qf)O$Or&7ua)U?@WruhmnI`mEUv3baV)^pi_zF=8^IG2QpJ6|dzN-i-+ioAjWh z4k^tD{KVnaqzFIYjz9IAd9Kq!$fB(XuV3V7Lu<(A?_w!YF?b!5AUI-B@U&6V_pXOr z!GSfa6SbJgH-okP&ctK=agA;bYgd|oXf>nL^sr=%28F_UZ)+y_%Lfu1aoln-i+TOD}<Y?+2mDc5z>SQ|zh)-)x9)S4?Y&oo}J&WcJ`5 zZC+k|@pfQ)+st-+1dpmS|LS$Ttt*Y6SNFonj#yl=VTUb6XbLms=~(C8bUo7!tw?g2 zH$YW{s#_Dc;}2>Y~7oMO-L`z(5X zKmEX5x@xLhzOp&ue59nnKNYQvmWoSHvwDge2rJ^9tfWH`&TWu`4?~R7|B-~>ee|zU zi2d#Gaq)$8hD>18F+H;!wR2P6rol1^u66r>_MJ>n52h3CCc7ln%brA$^ zTBiX}K==-pyoBC!DxYy|iqjxbcV)juZ-5sfxS^ed9EvkcYar4g>Fc%uaZ>ce+$HOY zkgs>Tywi}}iW3cDu1d*uB{L{&PF#D>aZjx(Yzj__qsa5pg0>EG#e&VAkB|2CuDyF_ zt{5{>Yl2yX-l}`svX7AX$lQIM8lAGq-}FAa9V0#UkF(GwZI(gEG~RP?>8LMpmSkPc z^Nn%icWB3RZfRcS3z9A^#gfeJ=KJ3>jp(E$LZoLa7x~E)4GK|OUw{FC1ABK^vu%94}8S@7KtdA6B9n(BiWN%h2@>;qTQ}k5=x$YctJ)8 z<=#wFM#1S=+DZS5JU?ABQ4h>;6B$PiVdU+~apn#iqpu=jXVIs26drOTQWSyY)nf$( z7LoqOeq62q-k$Vcp%O(7Mld-#sOI%vfn9B$lOQt@Qx6y(mQ<*)9r1E(9BUM)*3fqJ zE;~kZ?s;Gm$HVdk<)jUyLYislFf!c$O1k1XTIQ_6Pr; zlxm2HwyVq1S+DFaG)n!DJK{jC4FY$r5;isKGAoP;FROCtZ#hpEBjU}t`8PAIoKi`< zMQ(5Bp+yT<#z*OSPWif>LEf`}-6i%tD+}pj6;=32+&#Yr52}A9JDQ@u4d=jeUEgLE zr3Gf}i6sSnf5=OaD$>t_Oip+M>+PU%Yqa}Ik`w&M;%Ssh7z5(Al#Hv90ZwU2SU3HH zbXUsnmhzW9tIL-)&RnqM+Pe-{HSmh#hkmhj2VMVc!=;ej+(pSVVgN^T5E|g0O7(M6 zB9U$;T`EcyG~v5mj=KvLrf{42bCS zfohHGk+v!j_4Z_$ZvFM;mX7je>|6UMJQgtDLCPsToFS#yWmwP>xnN6F`gANvv)TA$ zE)XB_fu-}KvWed1wIw7W=Hh&pYXOSPsgok%8C**Y{>5C(( z7^B)uWVwNtL<+IcL-CgL^?j+kDeyU{NFU|LiUj~}O=96!E2c!~b-xTQCd7{ZCgD6L zj~ix%^?y3NKLvfW_=G&FPk=HJciy{?64vx_8=B|!1+0<;gkWJhn)jE$>8Z<;G; zd@KCV#f+ul7QbYRz!PQV=DUHZyAnleTNq+k($(kulyJY=)i{(wmuuLJJh zK!cy(ug{~E+x54EsxElN4|eZ@C4`reW#zNFKK1zZUvYhG?3d7AUi&_FhZ*=chliV? z==8Yx~RF6a12VG4V2JJGVP#C;Cg|4JYF};QNKzLGdJM z(gZR`g~I*E-|)71o{sqmG2HTil?Z95tQi13j%x+6rjBw=U__lln=++6vgBk(A{C5| zrZ7kFSs-|KO7)*v0QjoGZyWB`9TAMkP5YuQB+w+L2?qXhexTInb3j`;3ShgXVi4a) zEJ38b5?sHJUhz6>E125_XAH?oLcpZ$V%df5d z#L{{$F|S|p?$;5dq>}{Gs@q4bw7zh|Cb>eg)W|=CP#2Wl7g_0y1T0{hl)-fLF5Zaf z*5AZBZ+qLDr?#}Cm^42_kiG9EX2l*0$n$gY`aQL?g6##qkfMsLz!YFqqXUgRQ=6nV zSqobw*ApTzq6V5)QJAq=LaC2o?`6vNV=|daj^*v4iDs+Ofdr=d`yz>EHq_ciK5jh% z+tIU0N3*=ckGQ~UxxK$q&^#p8z&e=GZ#fu`x%<@3+UCd7dZTglGkGWg$?s?FfY>JI zi#~sGh+{tV=0YBd-`AuNY5XXn=;qUG3ZCTyxkfwj3#dJ75EiX53g75Z;B5?x3$Z}+ zLGxi3o^ZF!XJ4UrJ3hUZq^5v&zg-1W>rsODV74wq9Pq$KzfWRC=HOVAq&&4eh`WY# zw6~TNH7<-p z7>lVO+nfNVOBd#!Q;-)9|qoepX(tT;|3t?V<|BLG7 zoD8$vN4c2qp9K=|cReXNg*}VMOGHwLh=p_iu~Fl2z=4+O?Fu6_zjb zBI3<)(#feK0Q`FM4-eSzbyLlhS}hcB8qlU{`M{krSnvV#mnU+UR_um<v}GJbM@teHO6Dmy zCV=+MpH`Y;9K|u<>6>iKASp5iFX2w@MVQ zrZ#;Bv1v$pzb2WTar73gOwCYyUTQSn%Cl#Hv&L*h_Md&-4K|oU=E$n>k#C+}O0^G? zUusIdTQNnSV@Z%ivtSAOshH#j47s~o;)dF>4{r;<{-VnY(5l)^3O3vHUeN(;piu^! z(B&6A$~uN$@+I&!hKEq$C%rizZWTuw&+Bk`TexT5rPO%X)#E7=IAi8zmA~jZ)4o8f zl#(tGQjaYQ2GORb)(T}z^xt2$RMe1Oya-Kwpe;#qiMY!k5dh@I!WOeQBsG_K)WBWv zRxVtsQXtnhWU1h7~4CL1F{w4VA9|^>jx)~b{4Bi2Op&8Hsw#{bE^n&Mx!nV4lA7BB_5KOz=ts5dRt%Y6u7cRm`aUicOGUXJlV0#^vv}A#s+syQOR2 z))f=i7<6*M%e@9^jI1|q$tiY+@9aP+A%Xj!p#%WRc@(>*jA0ueIqF#71F{tdl+ln9 zL=F8#sv~?bZKd$@RZ+H{)Z+w=UY;t-UB0A;dIdg*5=eu;n?=WQ$6Ae3?O@Vs2fPGp$gha}@4Ea|C z@om;$nqo$iY}Gs39hpQ`zN9OQ)`tZ7hQ^C9O8$uS(O}X)oj*Qm*Bb)9C1-l6OC}yL zz{Q9>6j8snUX5{LtBv^si1ERW{!ZLOpZ=$o+_7`;T8^9te9R5S@ehzRg4KR^5kG!S z1cGsfd+C3~=zKUq&<1v8A&aH~-rW=T>0k+->TuFtyuwNC9f^0+=uhrwwej-I4D+h2 z1C}?VZ(hmH5(+&%gOi-S{Y|JoHe&5S7nzlvDGe*+cKyDiJI1i&Mg;)G8AqGxJ3#v=hM$T4hgUP&YEwXD&wGc({Gr?E2hi! zi&KR%)j9kTOM${NH$r9SIbuxm*&c&~MEp z%^Qb_Nq6ewOrX6B!&kD3%rYLDc*v`19Yp9|>6f^lk+MsmT0Hir`T=EPl|+k`+*pFF z_l~jm-II^IqAxDL(IYb;v0>&OBX|DbW&RJ!h$dnr0b&5F74bJG=KKY!vc{yR!j%g; z-g*_L($3QeZtC-|I89Rfq>w{I`PCLPT64E1tIY*L7aY*FKT289+j6A5R>u?Mow8j& zPQgvj-&AVf{~eiVRf@ld{+rBKlKAd<^JgxbabBcpb-yLlNZuVG+sY#tH9bDX8Ci`qxD{QMY`x69X^kZ{wRQT#KUL9@xiHnlQF+Ns9J`I@zVUPv7D0|n=<&E#MRA;O8{JZH zRwk!!quR88r_&$4#%wT7bMdC}4c3of!RoF1IL<2Ex9kq1-~S~6hV47M5MZCrrmPr# z4}WrXb%ma+e<=&K&{bYk`|Kc6PZEbw2Y9F9`NjzfIn~JSSHvbIN0vj0JmvM`NQ5Hs z<)9I^vY$C_y!NKm^kdF-bvzcaW#k$d1OTS=KYj z=&vH=Y{wVjtQmu8xvXOrJG@Wr*nd#&H|)^14s9f&4hqWx~w&S4o~s7 zZ8;0UJypQH6uL=*1g@|@d+IAO-Xhg)k-ROa5hNn0$^9;)BWC^M`m?@S;Ksi`m*=PC ziu0YmjngCvdxw1*Wc35jaxPLbxq%^Sk$sJDI0S)WJ2&|#TPlhzvDG4`;Z_LS80#&O zaX9^1%LU&?a^v(Dj70tOA~g#5Rfg4|=~9u=PQ5o-41HzA-9JRT4Q|La6cZby zYbW#iQ-EPgyT%8fpf`qil{L8jVpJQ+A9kgi37B*z)SNmi2i7Ihs zOoT~{u}ZXnJMrFjy(cswt0bcynsuiE7W==lExI+0k<~B_tR!=Bi zNF7xkH>Jh+`Dk!~5|6xKw+?hO ztK0;P1_fZ`M%-dSqpwotyl#-~B8eH(V8C#0;?RYS#pgn}MhVnzxP3rniQFyo^Ye4` zol;o4b|Z6HkX9!f?Lx}m&Q&YgdH&%2khe(M34)*)F{Y zc+XpeYwoxlm$POcdB~0cOGqTlAZaQbvQWn809pFMQ`aU@5A=%9=-4}}I*CdD#QWwZ z!SP?D_$OvE-q(AU|5JwlPhY3Fc95N3QOcD8-*PS4hq8Yd8GcrzNun3*b6+`>P}7$OMG;ysnkZ47D7 zk;c-XZD^xJr5mccQ8>)|#U;YUJkCeK@oRj^n^}TAPrzXtZq&9;d$u0Q_s|^KQved zyI8-A6%U%O^ni~l=W##4kyO^v?pVTXpD^?Sec;%!+`6akV8G8)&sHT|7~64Di+Z5f zsUP;j?FVkW^SuONF5AP6d7ph>5GDEC{2|opA~3^kAvIM_XM*w4CKbDMEzwBCui|aS6l7jB%F#*cDkCLh8?>Rm${|cO;&s#);W8{0wI+><;bHLZ1#^;;SU!A>*^9#@Mg0O z$eH@2sJJ7&^+bG#x!Ink2A~jr%PDD{oS_cV%2U*+$kpYIfv~4?*l>>6BSaL%u%dg=-pfmLZOv$?8bqsL1|BO$ zkN{!X31phEr7TTEr?(N9k(wNnJS|bs^iz``tdxCHUCJMV>rPv-@+=dBWR7BcOiogG zV>=WR2JMbWUiFrMM-W`XG%HpUl2}Sbw8fE~m3!W)@ZJCl?nP(C~n4rL!31P@8xE$28a& z31fizGHrdd8!>*8@Omay=uw>;5!U7yK0x3Pz&u`vUc^!6*aD!$##5NzsZ2#Dnk6(e z{Svq5VnG)M4<#r|b33S0bvpU503+|Ku?=kg29glN!HT@<B7aNY#T2v4?EB@rSPi zU%m8shQEC~OI#-troAb`m%lr$R$n2{h32!yOa_dXO5u;RQ7Cy$x>YomA@eVy=SSK3 zjy}2Fe;!UUSDKsG8jI)6de*wX$X>Ud!NYQ2g-1rW*4Cf2DSNe8{xIj{n5Xy<5<}cq zR&2q(!#hYk)~t)iZ5M|Yx{je!*f6yHc>3LITm}UAK)@uaNA#h)1|mf!-+ftQ(-`P) zPL0FE^wZnsB#a$V9))9%DqOx5dH{$RwRd7bi~Jc9!VcRlddU(aODiP!gXHHQD|b5hC# zH<)5A;+z9aVn|pcR}ZqzByqT}ntA_ZNc7+fdx^25dkv85GW32B!XFSQqX;rbE%dRMPDMH9>B`E0Zn7Vsybq&$UoaE3s z7PSLuil}eQ4hxhrhka>g4Q%rtdXX5yCCEujyAs1k(gt}BVrIFRVzgo~4ato`xS zMR%lWNlyq+UbqqI!5#Ro^EXk5zmY}Urg$;K<8Suvp5e35A6TGRv+0B+b-vD09pQnclN14E75WQE4 zJi5Pi{4?wx{@QHY@YZLVjJLv6XSE|NgVjdm8*{Nn?Zlt%71Z2?A}6lL_;>Rq-%G3c zeZJSH^z+Z3KhvG*Hi73hNU4`+G+LC_{!Z!d6k_;H&@=n=^heUHvzeezMbU@Xtt4>G z5aW6IQ1@^8;#4bC!^QW4h0R`Obzgy3hw~{VZ+@>K=_3)qpR!hkEP->yMc;E?=NyOR znV#Qh;lfY}fc1i?H{89Qa`?N?LcWyTG#lbNY;&PbEXUrO*WHe~dd$1HcL}ouadCKY zM|fahI$np00MVQ|TI!w-!Ve;U?;|yy6vKq0V5OG!!FDZjrH~(F|CO#JBsL`6&voCo zU80Q(vzkx19*q7Wkn4Vy4Ah9Yr#SriH(=q-k6>Qq9Km(-BvleZj{J%|+(j>;&`WSR z{6pL-g>K)bj*QD*_7^E9%P*g`sTC~Lb}2i1T4jL?0kmDz(k_l#3Kx#Qb$F448jxn{ z8!%SjwNcLzfoH%DMGQZxy)=gXLkQ4g-;_e22kX$_N4*#_sp= zQgRtx2(qbqhj#y|_R#c7KZVQ>uxUeusmM&2K%LwEp5 z`Y=A{a#YOqvOD=aZfe z1yYK_aS<+rZ+MGEFRcV$QMyq(sXl|@t?Pmdh@xK*zWHwSt9I+Ccl7nKnDA+Wa3;oZ zb=IHvoBe%SbtsWgnR8(z4os<^>Zf5O=dkT{Jb8iy%?`#*b$q}mTLIu#hLx}i>kc*T z-wxa!1zHjqZ%)I`Jc85vnP06FtF4e?NvVGbfw#_Ne-l|F%5GP+`RCbR)R)3Rn>mGK zo(WqyAQrv+P;#u`8P(ihc>I%3hK}YFkBbFD>BB#3a}iOcNK3U8I_k%?CwgexY9M2l=^?c~KUJ`&!9~Cw-(t z+P-guB#^o6|EAUbk@$Y-h52(_U(8c(!tHpn1_&z-01TgWEy1;%Y>&3%VlX5>%(ti+ z9fO=MwPnv>i6&wK7(!6l6Ob7Bz0;b+zql(t@&DqRFF@>Oyj{CH{lRO<@QnA)o@8fReP>kc1lN# z!Sm#RcaVYf+pzHX8v1V05D4Z&=O|tI?ZY;U#IQtS2t8LR@YjT{YYcSN;{)-0))!)f zx9Ql-TzFxTpWM3`&f=974K0_3uMRY1d-Onm%ei$!`aRA4=1raR{_wx`H`s0gI8-RN zQD_y*@O6B6=7D{d;dOK6-ybKYgOlR^2Qa?bsh_5PwbIX{rE*di@&9)XMemI;AaBtA zQ*z9~Humgfk*Pz}b7enA*eT~628h-KQ~%+CL0DP7ub3lJwQv7QWBpZ>R^(R#PufCI zel;v+FaXY2T24`d!%#CM(*Y~EzUGUcK0!gmwWYcbj`R@5@R~X~eUT&S5MsW}r(jIQ zEJ-qFzrg{pdRoTjha`&_ho`!7tXrE*kqHW#r_F72*wmGG@^+my?Kq9 zGF3lBr@4NBB-}~{y9El`+6?NyESh{yyKZS{(5bguPP)!`%JX8rA7d7W-f2b+7B{I?%fx^ZS5ZV-Y&gpJ1A2epGT(e@`z>-Xg;?(oj$ zY5bkba6K7BALV#V3NbjT36D~Bp4O$r20915TZq92S!o0HN<{e5^ zRt}+8GK^RxHxPWqt#MxSxI{346RA7WE+!~OJV2f=i1ppR{ECj}oofnT#Ls+NCN(Uq zcM>d4HkZKLqX(%F8h+2;Xug=fqvUPnpQ5$PK9l<84Tl{CUXE%^9_By>7G2Ek;5{0$pm}8U9p!p4_m>tcP zAJpvg|I6YgB>fYX^;>1?y0Hk*3T93@bi+P@9Z7a$3et;Eo+!Y`w4uR;CVG%Hrx(lw z7aRx^-j>|?n^jaPQ!OP6k+6f@ei#G&{jh(R_;!{#%9{zXPm#%>*|NCz8+F)SpO#h) zioF5ewtBmh@XFd>w==`uN&=nlpWUj zcV+mN6;u(H7>9Npl9{=)={8aiD@^-$#e-@N5akDYga7ofyL+*3eu0j@bh@{YRNgm! zA-OBj?2A^=y5_U0GY(JC^nYPO9+$QJ1@hLDfR6CNN7b59U~U!{l$2qiEy(kAtFQ^! zbn8##Mv;D=fP_+@6UJn*2rG)eOX>nfH`{37XBQMSJrmljFvR|_XCMun&j2+=1_{#O zly@VCDCC31A_&6Z6yD`gPHPVH#W@3Duw#gGSX6s|7AM$QhkJgv)k2ei|M9}`wseuz z@VJiYhZeelfx*<$(jkfBZ>Q^h^*@^W#3R9PJoSH4z)zI#2w*djcfoHc9*6axn;F?U z@v!?}ZIp|YRZZ36cg9P?Y*rGBUjjEruY8`N@hUlW3+_?ZbG}L?&Fzen>=3I-Y^><_ z3h3xsd3C7XY39lxr1~290QCA zi$xHI2N;V<91<@tWWp&uQ|(Anti-HzW=SM#F$a4%zK_uHhbi#w08qMXQhQjJX8&HN zgWMBm0w$Qu(8Nx=gVAWvZ{1D98v0z$H@XN>yX||?h=Pt-1v5Pli~kn*GX1Yp|7(ne z+RVS%>xky7-%kI1EpOAmF4Jr_|J6ZYgTochE^Nj}ndZn5QUpg&TN3ScaRz&0hR+x89%PHPH=9QFa zAC?dqiH9M$VagHgvL_FZpIJ5FLgIQ_BOQwW`bE%lnvC37Nvsf zTXC{WASu%8c>=L`xJaei<<3D4%k`s+D!(sw;#CC-)6&xNa&vnY z=imRw-TUuxH9rXd?c-vI zw)A(VW*w5Emp)jR8oVpaU?(J4q3g*tps3vXlBSRAq^^SQf9V+-Gcb4Wpc*YdFwuSJj_Sm^gCM% z4|qOgM$(wCoD}1`ss~JxBKX8y+bJ>}MB+HAj-pkGz&)>;=A=l;J=xCi&| zFm7T)s*C#Xx9T1&W-XrzZr&8|SUuqFa;{R=vrSHa^`&L281q8wc6T_ykf z`v1?{@^AY7Z;6^E64oyFKm5X*BaGT{=t*Z_mi6%$(0VZdbc>c>Y!S{-V{4S{f^m$j z&i4^%PE=?P*~GEo8l7s)NWQ7=`$$=78XePoS^RH&VC>L?vuQBzlxeI(@eV-H z5Gg{UdXcH}JsoAXy=tnQO44j^IbpeE`%8X{mZ|Q6Iy0OR;6Qy?^NS1$5L6{*_c1TFKZGR2Vbv{N==pkD1zzMTb)0YcZ^-|cOQtI-_18-< znuGI()c>8W{UxM+8nPrGVxL@Yy?h>&%lnuOOUceF;;S*V5mB2{rrmu#Zk@jDu_~9c z7$t+OOlorOr~6JcLu=C$wMTVd%slFgp>uG8lxl1tbw{#+mo(JqoNo>-?g*yrQmoZH zZU1x{Gs2}36)vVXQ)duF4;}vLHTeT60S88)8)|g2AU#E~wjW4yu7AY+dZ^V=3{J+} zKRrz>~asD|vJly&Gdh^-*|6%Vf z!=h~0wqZpO1Qiqkl@ygO=`Ka28>EqLq#aT~MWnk!x^w6<=!T(NVd$Kp8Q?v~Tkm(h z>v`6CzW3j^ec$@yHq4B3UFUHgxgYy^T&qJ_rgOa_s^?Xm z(3Fz>^)V7B(oaPQ+jT{r>DPW}9@S0RfY0Pfe&es}b-E73O%0PPCe%IA^T|s7QCmKJ z(Gi^wzo-XU@cwg3Ro~YvL21_~-+)L^dw#NR(jG!?;TRhm+uh4E$3)6wE1SqV7Ktx> zl!j(3(#%_$nVA(Enl=<;GBO-V$(G%XeQ2(XiINm;&$;kS<9ZSNHl%-ed?nt1N>R)5 zl&Wkkqj~%53Q5uX_oBrMD%ZXlgi!G~=gM9ar~YAD%U!P50W~p00?drt++x;HLUgV= zu+l6rLziDTFoQC%mZ-MLj)a3|vTB|xZ2ib%FLVkXgp8uPF0VjrA@^KT5^kk`nlSBo zI1^HtHlx~fNylw93xQ@!PEJj2eoyg)MO$dbyHdPf?oVZfzJtOB2EsPxn&)Om>?FQu zU`|d>X6EH}=6xR@k7K)<3&=M(IGmiEvZv&4&X1S<6uFB0sHwQPxXNGu_$KvY=eTnj zeCLZD=1P{)F#;Z$Z$JO#@;$O7K9`TT-$feW4Tos+t8!yLxcs_c`WaheSUjCbqRj|) zg_sPIm=q%)pIAGTSi@bFlBxKdscJM=_@%Xwmd@t2eBoT;cdcA~I##`(pZYJ>E~ju1 z5(g49M?98^k)>wRVWfLcrG}$&DZ_sm6C%{CU3k%Tiq)T83iWA4w}qzBa~+ zMBjX|INuT-%J?JDP^2l$Bp=_@FJ_6E8xvfzih{ZL09;b%Ow+nZ$+L9a4O%lvsOmW& zKv?v1t(kA^{?&rz_L4ie@6nX(6ru|>8;|16{AJ1W7-sFo6!$Ir1K^i-2z|CamIV-K zO_e9&=jUHMY`$o$C;{nMDh_H*qnX{_oN#@ohoe94s4}44N&D8$6(4^}ub0BdoeJ^{ z3H=HzE<>3(N5PjG)f!G`wo_DtwQXx#Th3CP*g9{LtXtp;|Lvx&-4yq~S`Q30w0?NI z=GQu!(KN?Ol56I#V0HInztN(|= zwf}q>@Z$t`fo@!v)i9U%m+JOU(HX6ZV5Pq3wPXHYs4W#6xV^h^#RH%Io7?!8iZ=T& z4T$fq)wTZ%L5LawAM_TF)sp6jOqV1Jkf9j!eKs_9huG)%Wk; zhek(fx?`9lKYjYtgV{qJJ7rSOY)32ylhGCbvMnrR|MMLPDEgrPX1x2e6$A=#dPbOJ zjm(Vp9YYjFhOO^QSsQ!8Sn-%FPpytdp2M{!$7T763bRmXb#-@JFsaa$FM+4u@ZwW0 zr-8>&(BmBOdCjm)*+5j%hIADEB_Y@Csivx929lCQ{L!ZpjKWu}CF$*zRqt z>*w-RG>cuHy^F6CC<&rrh`?4D<@t{P(A1Pbp4Z682%s2~bf3;13je5@>f9`!iCK1W zSJOMdIhx4v$ES?3^IX?^C22l-k2-C>a36Ba zyO{#c!Xd&#Jsyo%2vHDVqV8ts1=EU5-VU>6nzURjP^h+_rllcTn(<0dZMa) zPcQg5^Zlxr{;m1?mC7+a#+jKJhd~Jvh&X|pz5bgAu(6PVZ_9Tuyh8M=yIr(rlkVeO zwkb^Y%s(*@#g_Pz4{yJ_zcw=-T7_9C5LnEAyru#IfbGiBXj*M9aQrJ%uVKCcmuU50 zoDZ@yXx=9yyVLY0toC9kw&~H08#g-3;Z8m1MaQaS>``mn+Nn^mtA!KS?vHAlSX(n$ zB&HAMHXQv7{P4wnRYsp-OxHCT3WYxE?e9uV!yDOCtIqJ zc7sVTc(Esy`EygdE}M;`{TuBh196g8}=fpb=| z;B7!=x@}}*Mfm2?xa-FFgAxxoV^(J7BMTDGZTGouw{MZ~0bdOjwp%-nL3KhYC~Fxu z_v#(1XrTX2D}aLJ+MG!AIw#5DQ`ub^nwHHcsfE{tmRK=Ry^X8ciHrE&M}8{d@b1_g zGD7)mChmqB)`qZniAc@@YBokp6j`%v>}FMi=H&vCdf&I`y-#D*eYq!&BFnICCOw^q zNvEU}=3<*ef1p6F`>eIk#Iw|xEbrrqa-y;*jt4RkjDEj3YR_(i!{G?9cDICr7TT0I z-(Ei7^?x5=+#1X?YhGoBY)1>9C$Va^a*JwSBXw)GQG12k$=JAsb1})WFFe$1F9TM1 zg$&^9Er;kef>{tc4JxM`X%81sL(-nko3um?a_+jIlzK3fxA&4fLJnL&e5RcEDZMkMuRyrqK zXKh14#rNKp;0$~_57bAc3m(n;MXrgFWO#@;GeUluM$th&nS=q&-vWv+g&}7jf;-O_ zUh$kGmbvB?ti(DSd}b+A76h=ehiCyA5J-ys7`7;0_md_d?t96cpK$P-lg_={ULzK( z=Vmd)?SKer!B)}KjGy*8-5i>pPU5tq!T#lR;-O;5H-TUex~@qV-!=L9jB6$+JFvO) zji&32b8Kh7NAuaHU5@6hA&Kp|^Ub*gK{YkCwl13Jtk0d9-WZ{8Q;mi!T>04dC>wG#h-e1)Nf3j#Yh4&fl9vv|6 zgjkPYGkax0U)RZ6Y02WS6{pGF1Z-yBBGRYwg>L*x2}f6Cs`W% zgwQ6a)jPSmR!|}@bCZ2eV0QPWK>ce6Bw+XTH8t*{ko{AM;v{a;H~C-R+4%5hakws* zFdKe~ZL8E7(>yTG0owhYzEf<;-o0lEzE<6gGjL z=hS=8fFVV&!(Lf|HuQS^XGi_Yx=@tFWG%$hQ&xcYR zl9#sT7h{k6Ro$13^{G5w{HHG&p~7oq{M!x4Oep7>V#B;IUJ?rRxy-1754!@Ce_)L! zgLit@Zee)s(;L~ar=%s17HS&VWux?<=HaU9>io;K33irlKi-ohJ$;13MFg_$U?uA1 zgExo@=Jz7EeJ6aW4(VrjU}}8251-gfluPJ={maH00=8YnCKOMCS);tSY3E%pcz(1X z4|#MItr*>!X320eN5}8K7HeCjX+n>&`uAdoeq=8r{NC!LwbbjR`mXe@RnTpL>bc-E zYndl#1%A-+mjcV4uVYA#8}FkM}zOw8|hz)8%16 z#Ej6A;=4CwU4xe9kgBc%{Mu!aQ)qg+xbR_Ze<#UbZ%GO(c8vuZWG&vQJ$?xev9^%{qg!`apS?{Juzp;p8l6{ zrX8dhE`@W7bdNN2?B557)jGhtq~P@?_S>zVKi>C91&@(Se0loEQU&o}X$;<@o;L%Q z8uyB}ch}l0L`i&mslIH^CVt^*XXFxgBU*1Wr|^_>*Zc@k(wbriY3g-px5lgOQuhuI z1#DiH8wUVP%dc$Q{4tlHpmq7iM1>@Kt!=*GuP`}$vgUP;4rc%~K=(5=xe~U7KrnOc zovgGg=jBPMm*_ErfEZakl59Xd4~)oN@OUD|;K26B7(<7r z+s?cg;n>LY<03oHf`ML0-Qq!NX%pU!Yu*BKZ|ESAXpSWi}gMxY5$q96)#257d1_R5%dH z6}Wrw?rMFczV!FDl2e^O1os2N(1j7r92feRe;F%c#?CRTfeLM`jwW~drsYSlX_1U; zhE7XQGWc|!f1zQdi(y>s>SABWBPAtGPI#n6#gEPL+e!y8dw)K`ct4zjFM=wa_P#i~ zNez7$mvDQ=`x*7Ere){8OIoe+rM&> z*lS)1?b?{Qd1$=^gI(0>{_NrH;dACaH>^tV0n=VM-0Mt@@=p7ABh#LsQ_r;9%WN0{ zBE+3Pv$A|??5X=*xDpub@)v%^bJhLPh2y7biYHN~^E|U}GOk=_#T>V?efH&hiYI=Qs5Ep0W-Ip0=^FO*{yXOgY;JtnkcC~T zK&UYWOI~~&s}rF_TO+i@!Jx`PM2_)m%b57*E5&>y{=^SF>zv-tpNOP^0`mG_g-2zd z@I9aL;yI{bRxudSjU~XbLdzvFW*(BmYyZuo%IX2;Vs$(Wjr;C@lRRSE>#!bie%LJXB+(Z8(q)nM+^L1m{wmBg#=vr1u?-a# z-xpAdOe-Z}9u6t6Z?av(g022mRM!3 zXGehJmKsrWI^ZvCJnb`yqXQy-x&6X(ch@1F1?wXHX1#>O#P=*OL;wOS`w$y)*~r5S z&Zr+Qm&naGcCnWu5)BSD&rXa58&Lgk|FUPgJ3{@@^Cb1+IQ8a0P~}O!Mq}4Rs>S!s zCn72kw)?;`W0Yl^E#yAu&MPwQD0V4J+#J0l;Bi# zUyR31-K6L0WuVSHCiz%Dtlcz9dawC(bxAMRg@@lVbI-mpB}9#UToIM9>XzdAD~sIip*)Wg45h&r5}rh8)U3D8DHbc%H4d|m(IB*=&oNnPFEpmJ*_ zP6g);I-7HpcmBjZs`0lk(HD4*$Ag1e3$|%kOd7oXSFTG;E;ma>00jlWK%$p=-o%4> z5MZ)pE2(;lMYyW*a8xxk1e9+}i7Xp@3T^=pN_h9n)b7ZQeTO`w%Jn>H7dann!Gd;* z)wS0HEEmpI0tqfyVbX7!ZlQ&~ZvwRrXnA2{`lN*n8t?RQrr_o=cTVQCXFmkjYy{2m z9$)PGY!ZEsvc}cULs_HQNO3ju`QMu~?=y@`eB zft3XNy%xb7pSmBU7-AbR^sp7-gR;;78~bibA6D<fDHQ}bTB+wh@V#HxeJGAwm7iFTvh8u#t?I(3`O8CGr*YFN zFnspMLol|Tvp~7A(B{GfRa&(1^y7UFtK^-jxBp!ESXW>_>AmQ{3D7q3crnpGYqpZi7iVYmB0?yH){<Jd)ulP^}56Tiq@uc7uF~>t)i>A>AyzlI)w^7BE_d@7Oe@kpe3$y_GgK|X*! z?BeQLef{Q5{v1#ZtC|TU-azLbdfYaH4M0bugdaoBI~BZ?y%3S9yf<_!Eu%e7r{;*g z%pyPd`#%mhNL`%-ky=3Ww#F$Rw)1zO`Tz|Hp>3Y}X(dT)@k4A4hE4J2i#@A!bq{EW zDaq&7^DQ~%ztvOS`O9J|=6y!5-nss_zI}BvyrscOht{`S_~n}1z1vUL{z|D#G*;kJ z1USm*bSu+uFN_ua1L$Rm>wjpSW{HY)3czd!G#^vU#ZKB(Cj>wXr6eW&D^hzu{GR3*1ju*NSt>B3;q_wH)OfvXiKAO* z#N%JvcDcDNmt>){qzW^GHn4&iEUv{BySUiO+`I$V2|xqtL<2n%e!pG$)z>yJfKmN+ z|qNV`4^*P(KI`xl$NBv)b2eMBfnfuA;{IbXeMC!WedXj8K znb(;ct?h$~v*Uhm`N%2${b|R3DZ}ZnH%PgA-UOR=h+udHDV4NEQrdKShxQiT_8ZFS z7eoeKK_TGX$(yn~4fm1pF(t>J@X+_fYD`SBHkm*L9OIGmhil2#|I7kFyIri>xh3ft z)E0VyT`#&DlhHp6>Q-}^t&a8Rc(f`3m?Ls_Nbp!3ZDP!5H(_~KzG)#K;Q&QJAQb=`b>Z9Gkb6MZJ%e=Sueaqqq>IvGCPn0Qz{>sA0u1K>v&aE10i zy27jpi*Cd+YcJ_MuU$37Wp8Um*WbICQHHNLE<@q(hf#~ zcfwig8Ndk+in)P~K%YxCDL}DgyT?3Q-~Zl0JZBrZu)lZEcN*k>w!ey0N0X@D;=dQz zy)iIWU?xt5gZ6{6jhV~HVDt}Yvp@Z4zu)O`B^^$W0nUce&`kCv3*5L1CD5sNDH`y$ zH3V6Ftd3(Zmpn>L3t!K3e03D=4Mt5Wvve zx1d=-5~d!#Bjb1KfX1`VkLi0i27Hz=eXtxk5n;|si*d;R?eY)fi6)As1oTM{GA$lX-{ccn8oxr7jJooq8b=r#7B5$_*K zZ$95INq*{7kt8Fl#@g1PLO+A^2m@MGtw9Pya4M}ztNoB|%OUCKXEn~Y%%IS~oPPeL zV0XR!Y(-6bx=jae67p8V^W>t!mGZR;;qgLyvlG2CCZ^KmR$r{emSVHRjU2BN%2?ZfMGofw>LZ$4`;lM$CgN}hgA~T6f&Fvg{!!&iqI-=J!a%Lk^L63EO zCaSYXAW|@1)|5u}JX7%QIj;$%_YuN84i(?hXn)(H(_!|-)5%EQ>{kdguSt6RC99oA zG9RWG?8G?Yhw6MU3Ij!TFgVQmq8^6uitnl95Ho9y8)ey)chU^yt1&_VRJv(PyxbFS z#5yLz2GUxi`76Rj0|Q=z$(?z3?Y#t2!9kdOfzJwzm`dVS*fbq__NNq^l# zpetJ#A6ic8{shDg%jRSKe20NXo4mPS z`!C&^3h%^IJ&jv?lPD#twVK0BwHG?AWmN>P#k2WbKVh2KDaSMO44#&w$Zw`D5SlNp z44$B9A+@YzBUqLXe{#0lPU#pnS!q7pC3fRco?vPql|K99uog)8v$%MEx<^&n7?nNE zzb<9zW-wmMthi|;4G9aE_m=C-kdwPDZ03Dx}4 zI5si$m#?tgQT-G`ZmM1159kSUB`D+=L`JBY>3QD;^Wz4?<7lFnN%z0f+BacHC6P$I zTTQ$~Ohr&3%8ay|J`E9Qh|9ai;wx&zmp$G6jQ7a7T#6ZC{%h@dk>7Qy2d$afIr9Yd ztFdD~YCJ;Uu5Fwufw~jU#NEr71frMzMjE@u!i||FDiV8F1bI2=Kp3DeeC|0!$dwa0+0?z@ZAe z>0?th@f_5%MB2t7LI*GT;87}uc&v0(-Q}6y7v~ZM*7ciJ?1n8L(~mV1$~tKhI{=YV zhNjj6mOWIc$zd^={vK*Gr9N40#|j$lu}z+*T|U?pbO3j<>||T>d|!hYoUV1u(ye!C zBD3FYcg1$DGYDj^3WFe*-iLTb(#T~xua8#ke_|{)_qOz!@j&*Pz~p$ML&ya_+$>07 zjOn5r3Bo%S|D)Pum%IEzo-Lf91NxgbHF-woX38YlSgRPDs%G7+2C=baTQLC6 zA7Wh#k8xyvEl#i1k)%m z>F{HOrKh)Jx$~FqM`0J_^)?Z_NWDb#ZdHJ$1?QJ!+BvUNn};vt1f}BG zO+KMO6-}^t6TVqJ7ecEj9w29cI@&EC({t}c9V3nKDw5uIP{Pg2Simj6Mc?;Z(F80y zd}2!St;0aMAx?jUK|;t?d$BY(urccW2|^Fh-!hgpIN4iu0DT8jrjheba(3g7(~#xl z^qCg6EER*jl|cu9_KrSsSPV@ltx);f8hze@We|UJXx3i|Z_|&$hP_e!NQlvi%Xalu zdDFX)OBnYE-~0@q&2(JuGs$rqQPW^{C*{sf`GUvVKxH!tEpx50o?sueHG-0cT%2ut zBS1;lDRRDxKUapgUAs(y?x30^JCEk+y(=iq0h`^i^W%Hq0dy(Bin!O&G*`D)CF(4y zKC}&bUePbixH(nL`XWNTBmWFw5hk+@kaXP>bh^%NHCpJqpF{~{RFvd_=tP@}nYx;A z#$ssxv!LYPV!DL!0LbaXyZnj~w75#?;8425Q>6nHvZ;-p&w_EuMsm`(KFXv8K+IdL zQ1%wLZvwGB7iGL`))S``rAOXe0APIyB#iT^T~{LoY8$X%5P;yDO`oq8Dg&AULX0P- z{VB|h#Wm@69yIbvbO7zjMw3`l)=|wDhZl>WuXU&slNApTmW+nIAsH;GQ4IYkUqdmf zd#KORZylF<=%tTCMb7CMi=fJb9*05k9A;esv?+9lv+gDC;b*4{p&~I}XD1LA8B3bu zhxD4?e#ao68nCc7=7f+PI(!;;vYNTj{#b;8N6fo-qN7+VhMensZ}%R)71hNxm!T@c z8Bn*bOj+tnW)!(VIZ_V}xW2UHqR`^IrUmL932oei?YTL}3j2jNNFP3j3ZqX%zNidh z{JoU6kyef#BHw5>PldJ~zK+XSIN!r?gj!0p!}an%4$oeXAe?g(V3BV)e)h+G_+kz@ z%|#o>r|WIO>F}?@N3EF(VjI@TZUC=>nTkUtN|Leo%Mfm23Zr(Op1wNAru3lVA3q+> zQ`y|Y;99eps;aE#nsMl6me9Tod_t3i?)A3lXGMkeyKSU!F!C$>8X?X21@v)*{K?hC zs+8d^<-;jEk>iw>#* zpU{nI^W5MpZl`cB6v%TSQviN^8U;p1HanbdR!=oI1Hf$4HW6zUzUXe{fM{u)C zUj7rIA@Mmgrgb?BAp-K;6UKyx8|ib~%@#T}DSV^ld;0>2=gLn>$X;b|+r%_dc&M z!G$#aSYnOiw1}wuepBEb?!`(*XjRWk%j3j$#0)eWG2NV(iAQv9Q$4d(+j!5rbnyTk z6Gn0rDEl{&y8G^cHDB1xQr|PQplm65-p2dPCg4AlV~;Eh&!et8P9_e)Bbsx zEI8fU?YAV!e$<{N+BL1#O5I1~uOdb{`m#;R%#s>S*J^7KU5xG@jOs`aCR+?V!r0)aH<(=mzvHGtVbf!ryB~l4p zYEvaCAemXG*Apn*RvvWs58HWro*q>8Btpf$#xxcV;eG=`>VZiyLe6N4z6dNQIWln& zr!H4{t&SZh+Em4JnfBamPTM?|BCjt!&K<%{V>^AKyQ!7EZyBCyp=%Y-qIJd7skV68 zg`1g6s9HuwFE~TgT~l=&6K7hQP`v*+I*}*$`nBt@ez)4 z3xqyyw+*g~BOe7_1HyQb@z#at1gL|=r-a&o7~qj;H3%mr}@2s$Ezi zGtOhj#U(QWmOLRGrae2l?N&Z68nq+p+MTibUaOTgYe;B4xeEPytv-@CbJ-&qa>=ceJ3|urAeMD)S+DU5b0x_Q9~` z=u1R?wq!m1Xu~pBJhmQ4C+tcjTu9n1YFOZs#ZSm%QBJ#mHou%%6vB3Nq(X7WJr1kO zk2(t5ub-$SD+*g;$mPZ^zkJWrwEGxAVlQu)9Qa(qh`+_V81}Tq>EbSbqt+ACx^5;d z{r1o9z|aGi*5kbDH_8L!ig{a|4(V00Wy8?~nBq7G4K~1yb~V(B?L1j8(Z3_l#{n2a zi1d*$Eh}a|(5x~6;WnmNx4!FVYv87I{;h}4KSG|CntQ^8@{*i}qz;1X-G5l*B%6jV zFQwSky}AXX?hk1W`Qf_Vc=##gYn+Hh*7Uabg*)VIe=N%aHra?wC;EkIAglDe_8jJ1 zr|sLP4^gac8^z7%Cn(L@?SvHPF(Vx*QMk1P*OH|hC@0+_hPe-6uf%A-wV|j)& zBl2hlI47RhIzEg%;`%-IOmi=xMYSTP^?}b%#isY)Uxq2Gah8}%G^o?9*XEDmm#qE_ zWM%1+snfeXmc@&Z6e1&GHCy`Sl|U}DK$s@@0y4m;p+W&t%px-qpoe{5+}yH<39OnP zC|>b#v)p>21JXPnD9({Hy%EbolkNe88CI;-K!dC@SK>9jWYOL5W3jT%gd&WjsN}RB z40{Y5#fM4wR}A`M;V~gEHPdYXq`6NsYsC>z&zN88*IPWX>#oVsqx`udTly{wmRm$_i&6zSRFmn-<=#pu?8iPpI$K-AMlnmpb6 z-&nY5Rasj=oRP0^abogx_NV*6GdE?|zxX~{ePa)B`RW87yRF(@fI_I2dJVM~CwVMB z>#+)w+SKAQXD|~1*}ryp@P`tkC5RkI3X9CfiuH_0vYAUxoS&>EJyjC%-Y?KUcDa_c z=qweg5QPe_TKE~=ALsuo54?mCtnd~=1sCh`lL_q7)4Dog6e{GQa0IfPDC|Z)dVChw z&w?w-B5{GDd}#F!Azr5jo}n4%kuDWy(M2IR7BS4u4B5b?gGKbzEk?+AoK>=S7Knd= z$}>)8CxJX(__&2*`qlRjMDN#o;&|=TxtvxMtrk1N502jOx223_66qBbRcR?5Sz2lF zL2L};iOplwQ)*#u17g^aV*M@IW?b>Z^RDBf1w1#oY!huIe$Ht%4c!r*v-^DjYTm9* zR##3SepRdc7_#9+3txOlt1Lx=L+N$&N`bT)<%Z@j7GF$SmGCK5iNNACBIyVch`%;P z=i!C}aeQax@y^_>G3Sr_4Opb@;wb_hx?3gt0#f?JO>yh2$yQUoHWHvRtcCSRHu%>M z4P88#<&Q+MUd4oPTS#2;8OMxZA&4PWDvENPn_jgmk#2RcEv*!n*Zu-|Z_{>BfkxQs zZQI$3Wx4*`Od2u1D%{m6DW3$cnNVz71i+m;6Xsa;W5YQLsp-yRAZJNe z1It_}q#E|{o`o!HdPN^gP(3g^s)gvra&|Z%{q>J38$P_te8u%U4aju_1)HG~1(WW* zr;yT}XRL=_`qeBs0B|mKN^ugA8Jvs4ZvC_#uly=xnFM41fnxpT#2%uLXn!tBmGJhM z@S#zANM-veDJaUUOTS)CxojbF7%jW>e30TwKVuM3cNKY&Gbi_;FKX(V60(fKzbKuE z#ZJ8flHOB9H*4V1>UDBgR&#`OK{j%|r1|D#;aay-QUIW%i5N1x3_K_@+HE{pE091s z>vX2=B9dT8Y#SKMjxVp;d*BNKhu!vcq4B}t-I>3*WaxDE1{k3!lAZP7S?v`Z%JMTlEo4 zDx3%Id|iHGe7x}{QP|(>l_{8@(hD3}-|iytd=@biXh}F9JOt)2L0Gd{HI)ej@tLsL zkH$Y9D!y7&J$oCr|G5EVorZOHqEo$2@)omAQI!$vQCeb*vgfCB7gvi->#CxZGM-Od zIHj7BaZG^b75p8cJVDVOBBAMIjj?0`0X(+0p4;l7OKZ{R7Fo{H8Zj$h?D`)bO>SJNm<){tB>~{w#2I)m@${g+@EmcXE9kQzx=zl9L@q+l9J24kHD*Z)k^*n zg-wq?ddiWdl`OEqQxED()5Gyd2apVi8i2k=6gW=TPFya0sd=NkyTyr|9$nE0OiOEH zuHL-Z@fR5Z&0Svwh)WB15lr zhmJ;I_SX=`_kIhDlL8oDcC&bw-(wC=_}7SM;Tq^r#unTkMQvuz{VWX^UrexuoFLvs^mY35KbW9AD*6c=w$c%gP5=Cus7F4@S z{~WJ946mANr}S=^aW?g8fWq@A+JTmh6*D0%)s{yZb3Z64K)6JDPdq`55(5&~XY!!! zj6RVz6S%3~Y}6KXYtw;Cc72&sH+Jo~<_E8u4ix20F>tm(t+#IxNy*Gh?r*6-H z6#9n$JA{FsM4sK&GGo@L86QTl1VB0493DwwW8iQyT(&uLn)ku}RORHLFlpF(9fuW+ zXKu7^+#hwR4$ykCI1-(sFA*is!`56mC2JF~2ZrQ!b%a0Mlx~&?Bz`|JOcA)<#aI#r z4s9)s>VvA)aSqwMw>2|mn;a{`+T-eq*UC0EY)Niozry7S(lot_z$J@Ulj}>B`psSv z>uW(Zp~=hg%A6|ot|O={UF#)<1lLO69dM4dJJrT}Y|COl36XIBsUF%u zfF6l)N7w_z(L(5{OJKoN=4RdS-H^c3mpi1tD+&TdALxv$Mbb|e72{*Q5JcKi?jlW> zUuzX8Cgi3a*H+^r1h!Dm({7`2;XxxbzD;%6r!|ly@E~!!m~5EkF*q2&(oXKGqvZM) z%${f+Y&G|~4Ne@|x$@=fYFK71qCpk#;G1+I?(~q$D_aP5Z*6iUbF;5vy9hGjdC*;@ z!5VYDSJ^gtp%g-b8JxD$y#2>p@pB%?VE34_sS;mBk~YYOpleEce8ToVnS*O!0g(a! z!7N9=pvoQX=25>oL!*v@$u-q>! zZ4Ryjsd|UK`vndg<7J4|oYWZErmAtZXehP@PJ9BQCx-okgD0oYByRpb|9&lJ)c)3y0NbfbJGxd#AY%#$~aO7t29zmHT) zc>@Z^gRnr1%oljiK!BFj$yW|nMJp`Hi0W=oYbE* zBXe8%ETN=RWgTya$6{teK5+hl)b_R4l5nL18rbbUlShohU6hwdJgo+;a4jKgm0od> zNt@7+AFC;7*5x5n{nQ|EX~ey*rkvRgZs07|r<88JNcDNE*8HWXhpNHr%C*NCPsmBC zd76J?t5o$EBQ@K&1&PM-)az)dfz;sv{Oi@g%w{EuI~Gj+Q4xKN?@}LJMrL0nL`zRJ z9s>Yc5!@M!Cx-wnjk>42yO#Z4L8+#WHF=vWes_h5<2-GddpX%vZ;)nbY07a%=wLj< zd}a={#FMf<3mUQ#>--$Da9=KiFK^Q~Wn0rLq_>b^PjAv|DZt#2y*$gKofnAxF@5dq zN{vBo-8!c-*~hQW^TV4;O26Ssyt49;Z8go@@#Q`Nenjvv>y%@`{bjb*=k#7VlFU(X zXnLbId6l}t;4Cv#m+!bEATDowKj`#u&U?F1dGDTyh&&bgRLb)CFz>~j_c@Z%jBu_W z3LhcT&?%z=&+zd=?MlvZ^5X6B!(DH{UW0ne&1_`aY-sH9jMA?JJ>tp&-k%U*dAZr0 zzRNF00>Y*O=A35pPKR1kLd9W$B)Sqf6gxdM8KG)3LfUQos=k~3LiYZ zZbsUS7Ns=qyM#9Pt=jgnR_N6#00XOvhVMB`xe`D2&fKiIleT;1w~xJFbO~ME*c;n+ z`E_?2M`3sO%K@k>5oEj~+of0-w!pW}P@~X2L2;Z%npDG|Qbvok-Gv+MK;y)uZWk&q zxckfsNT+JAT4nIZKIF?~>^oW6)3_us@PtNTbxji@D}QpA(t|l~Z!3Vrl!44(qt-T& z+oljr6Q*O~HyTJ2OPMlvgCZ0eUr$!qtk;L!>+WYaVsrbTyVYZOQ%?zZSEh$hAv zF>gLQKvoVymlUM*W1aMs5dOBY*$e5ruYUJreA-w=A+I5=H{oBq5d843@MF5>AQ_-d zDFDHme+DW2>T8Gd>{gmD+o$_e!1k8V3dB%+S4tLJ%d1yWagdLJZT=A=a)Lo9lT z90x{pzvk5qGTu@;Ycnv9r?N6)F7t;S=xv058!MKmw2G<8Mz5=3&ht=L25q@g z!SIYs{cBy1M8KqG#Z@#C>|pV!JaxKlsT=f4m^rGFm%S=|J%QstF2MFuP(i~~xfX{7 z!($B~xe6tE^9Z6lL@v=uS*Hu0;M(T@s|*2KcfT2p&3z&-DgVR~ib%WQ6N8lUvMN#R z^|SWfMnlKI+gxjUKp+Ql3UgcQ_n-?w@}f>Ow*i~nDalAS2TRRP0p2_LSj;f(7~}P$Sho`b#cw!01Enc`U`7Av74* z-HVWxI#}XzP#1|L@AD-vIt`u@QNzM_O2^~PJH?k;Da;}-c=Wq@;L`>$x`BHCo6Eux z2m>fe0TPBV7*Bc%8PNWONUO$kyoGbyJRPr>^7UViG71;)LSKS&owT5EBZ7^5*jpQs zk&R6~Fe^&8)*|YBca6~aXG_3=2#0Wd+$Y)9nfmH8JCN`abGV2uuEclAKOxd$cV1JC z7xt`!+RX`*R9QTs&&GJ-Fuq^qT_a zhteBW<^g=OA;aa(y&^!CV+XOSR4mi5v2bZ5vqUC(DYTFxRyFC)GmPJ^%#i5CNfV>A zaU@6=&p^6p5T&D;Xj7h`5!u9|L{TW`Wm+Ye2B*nm#E0 zJpjtZ4)`|H&7fr^og<%|DHF?b&_;|#Qd&yW+&R-uMx)kr>LLL2x!){9dS>Ls5hZfku*bf z&Q=yvRW@7tAkoeOu-j0xx3{KMQDvru3V&O`yYA=zn9qb+_|U|}TQa8+`GJ$_k)Roh zroBCsG>g@B33u!l(x{rUt?zhM`rxlDC|FbUVgsDmJVbz#nH_+)@GC0=jf59~OAGlj z8HX=u@e~9POS;llV(kuqEhfLX&hN58CrR!cmE_PxKUAPm^6UUi^Z5m2auNgFHW>aQ z;wF$06@^cNIsuDj`Lp7>HHKPHdBby3y*|-O&_rFq7gRh4r#89(d+x4w9Ok=A7$byt zL8n9)qEsZL2M)WJ13rkVmFq@3jt)2?g4ly8xNEK8Jv{m5KbF}|;kl<&BH_@-x7-1c z#`RjJb&fg6GI{Nf52TATu5*?3+XrsUeX@dTV@J8% z>W9xgDj33yu|6B+H+FAS&w05VE9<*~+R*2OC{6HXGe}2!GG+@Lwn@}$z+-6r-cx8E z5rO~BLt1=o-=*cF-F+-ebunJ|18X$RWbt@8RiQ;f`zd+|LOHk(n%lxY)Ne)EF#t2D zLZ~XYNmQ|D6`Xi4ug}dNJs%GppYinsctgsaRPXcJz0IjH$9R{=X8_8Au)t!jp_vQI z?9K7W<^F2zQmb_&x6R~Hk$Nl=^lKRKh4#YGR4oK}uxj-Nr}^Werj`udnkOTvZz-zj zmS1Wq-#?fRI!y?R*(1cqyq_q_#ehT3vFWu3=#61$up_>e76WHE98`w<{4a@~aji94 zP9J)`+U8??VcE-_CHRu#M0JCAjW6a?N8*cjLOcsiG?|ajTCVt5;tpr}z6PM6OZPj_ zz<8<*dBnUJ3#Y= zg^)%zmrm17j|@yWasZW@Oufq{18!h&0WAU8620qwhj)H0nShKj21xxe#t3Niy{R%E z6bH<9em-!(pD}=Y3Vd<{aPUSiHFnhpxs}{MY}6lj?_)r=lnZqEm9dT5P$~77K_BsM z)ZRPfdceF&OM#=Rowk-ys}RpFQ8n!#BUR_1_`s|;!K7Mwm}dYqN7IBcq3eN`^62t6 z+HVAt=k&gi8`KP*_S|Uxi%&|lU!APBo15Crwes_`Q}U=~7lybiq(Wrb_6!zBj6ESIKydG*Zb(L1x&oaFhj}l4!3>Xqjw#5PAt?7Y|*U z$@BietbhCp^_h?w1LqMvAYe$%IK3m^*W)U7Z+6(`gMB6zCI)>uZLU$Sj1;5F1G>ZM zp!EdBb*Bn%OiO0P5nOQ_W_IHafp|ygJo*#pF?y|Fe~~|OE8{(0j7(1T z00Qg6ateZ4$_E!Yete72IO?F!XzaN3YpS@LM zzYsBv^$PIndN9Pi=Zt2f$#oQu9|oM=${t@xKjp(D4^3;h1x>Cf$vsT!JFvLO6pTA~ zsM>g>=2ooAn%#YPXMeh|+DUyX`s@LLdKzS$XyN7dkPK@yiQbzBs)~TMP=W%4vRE_> z3f$@XH1`SiHXv?9f^jol0DOD^x@(=x$Wt`qtUFE2&lq&z_O#z00~+papEQvjsb^1Q z#i#?$O!<1!s(t<12(EXLW`!&Ob7sg%c1Z}L6lwa{G+ZS?n)&*}xy^91V?v(;&89E2 zwaHH~Pr{_SYT7i>rfULgeN>ccjZfV#cM`(AR;$^`^_keh1aw#DS<@DN8cniXteZ@p2BxX&Afyh! z)Ja_Pf;l#P4;C<#y7uDyROq1qsL~b3ux8!>4(cs(|FAqaj7bI^{k@$8sCEzFHqBUt zqX2F7aFbhw@$TNX{}|NZD~6_hE0GD{!bt>Hie|DVyxUBH(!Gu98F+$$q%1sz0WGm8NY(ScI2{<|EjoZ((<6ps7GGphf`0eTZo##L3B!@ zQpvRudD>GDxx$r=2mo{Jvjf=DciBS}7SQXw*5hpT7-hpB&?6_&452J_BOt^~QGgfW z-W30)^bz=m{n?Ts_r7<0hSyRM224T0G-0{RFDoxI2=Qd-5#}e$ANY$-V&$ugy#XzS z7_uwrpskER4_m>f>h=LM0ljF^48|)w7L(AtnMT>|*~TklMj+-6`+orz&U|uEGnP4n z3)Zr)7Z|5ubh#)<3j&W8GAiq0C>UqHB1odnh6JSLDoR;55TPiV0RE*HxMrGi0Bat6 zPAWCX zMC)2fMoO@u@&4Xi7HfaeO00bLt3N=zWCSqoYlBI&7YDM{nTYngpL_F5J>Y<1e<+zL znE`IjXT6l*GUnP-QEgvOptMcl%p;8-w?8nw(4or3`zXgf@hJQZdy^wq2KJ1a&@pXt z@&L>kxL!!MFC#`1m zwD#V}yG`JY1$}PtOe<1&qwELEjR!Ip2x1sQuiEspgRXikh;~lop$>+GP8YGmjg|w# z>t`u|zrt6`O1gd(ewf);mRl}nUv%imk$-LKfg+wyevsH3&{K}t&_aiyy-oGvJF;Mi znnX3L8hzRVr5+fjl;!(NadhS*6@;%95(Jz+7jJJKBqg!Y&9XD%vol7cSLw{Dl~b(% zh<}uxeTwdVZp1i?pmzLvk_ERaE<1Z=)$_S ze3Nbdm8+%0Tn!t^XXRo8!V7(jN(*N_w+IbANNd#?D!mAB+U5a$ zx>K65XtA)379*Zy;Pk;JwYGcowFES?2b~l7s=osL{NVr~`6h7)n}?|!Ovvo$rN1^1 zJ8urEGCgJv@x9}Mf=dt(ZA8qvt9vfwA&Q{e?G-Zbo{q6(6Zwo5`K5Jj;Im%{)%Iz> zpn170Uh}7gR}^oT4qj1=YLi-*`Z$BOfVQb1UU!g{n*9+b!1PuLY5;-5ak=hv(r}h4 z6z-Nz@3~Rd&IA)GA1O1EoI6`R2idfh4Pc;*>blMl;SCgORxrVSPO$3=X)S#PVL=X_ zWa6EVOP5bjt<_=@g~Ak?scR?k;KRZb=0s1nKS$=|(_6x)=lK`x-R+!>@)|H)*8!!)H^am_2YMEQlHBRZjlpEk z?sg|E%LTX9aFcz{NWSwQh|>7!?i;vE6%m}@-(}TvA8`a|;k-5@D8MP%#qnLp$4#y< zSOBKN)Hrdto0SHMRc!_7c_cJAE_nJt1_3%0dLyqru*U{`a4~7T{=p}AeF1n0g_#|t z-CV4W8#4VWfgS|3EZE`tWAxgL@>~XgW$0d?dzP+tKlWrbu=Fd7MNkx zGYOh(`>WUG%3D7ewibm%`wvDT-GEDBmI|K1Dc}`g1RjfrFmf3vq2K&Y;qja&6kDfb z@m;=UeurxVMD93T<3U%#D-Ml=!@MSAtAPZj533o|<$yL5Ut{aNe3mb8*PA5Z>r-$C z{4r)YZb4;!oVm2P1mtl`uK2D=ut?8d4JI&=PPBqha_70th%?Vt<`U$QtvFoie0y`y ziSK%0%XdD6sWSR~kzv4gys{mhJ5GK)SIdAK2oWy6-i*e(R0}%-Qd$i%|E0k$#KT)R zBrkS3kH^jmu!8&y)lcx4jd5XHK)~Uk~`GwiUrq4%M=?8DK@L4!AJs~&H{QDzafj2l_HIjUu zfY8^7`C_5?N>4o)8DC2=sjU7xg0wbfgY9p9SJsVuwVqI81-%D?glUejV-#_JXdF^L*A6Y*%=ui%S zWj}H_Ih5TfZ@r&S|A1F~EAQL@9@$c0Oz6%qtUrBs2VV2(W=nsI7g#Fcr`XQi{ zLh}8+zRvoqzE>DSlpBm;A?)I;cdQG1C&+%`0?|egQZj5f2th#cq8+m|n?4VS+P+1j z#Lc55`TINoqcYmr$Z5ou$M@%TZQ&+Ml&Mb9(+mh3cW33k;U@YA)$vm0wZ|^DtG5Ka zZgxU=C%(K#Uocwd+*`14YobL6Svi#z#KJH(9RvW2MV9h1RA6&3+04~?7w4^1lVun> z;G~H_0%f!N5h*L{{eswBAGvGhH!kVX0$sRzHN*R0pVsQItj=9=UtPHmau}~^n$C}T zjm=+h4#^^w%vf;fWv4j z*3poA_QC}-BxeM~(${V;_H^csfplBzgT6;Luf|MGrrO1ye7uAypVKIh%Go{~&Z)?EWo9dm{83JfNA8#Sh# z>g2HmJbtUL+(u2+da!EUIDk5?o1?GbcXG0dT0Q((&A0ma^nl zQ)Z#vnQq*KKbU`?o+9x`0tZm@51}r&rf`Q40YOAlVc?#!qIv__)~P^}Wki#RfOqWc zv@;=j4iq|E;9~jWv`xNYy>r_IvjkBh4Ld@vc-IZr_fCm7Nf{?8g=+397lfFbKp(Rh zl67aH^>S`n=k9sdMXyjyAu8IqC5<^&9B~xxqj3{3eKEg}TQ&Nj=nR25l>h}~KohuX znD9QtndUPaY0IJi^>XrdWUn7AS0Ro_6M3^MlBSCuXuPS+H(-by#0AWsPz5mvszGMoud~# z?wq#&c7Gh-23>1DZxXM2%t3w458MHkPR)1oAR*4!l+jg8Ymf_Y4!P`h2ju@D{g$m8 zNF>rEFI!wIF{&1Pz#vj%^&TjL80@sen`>?+fE-~>yz2X5-uHgj^lMl3 zNL99cuwEN4XQ$g~hZBUea*d@A0RJ#9;^rL0WjHUuk)a>jr`r4`&DgSLRj|s!5By}~ z+^MraOD@e%AL+HccTRJmT}uP^JlniO8N3{?WvqDW9U;IsTJ<8b9rv9hk1X_v;OEtP zbd80H_Ms-tg$f>XGgLatxqDlxx5)sF5d%BeUWmTwGbZhjIHPu^D06) z_NL2(qfAq_^>|*mna>yw%q_(@_pIY{Hi7T&NN?GzHq||B;yh&wObDEbWTaK~8QHW! zl35CI_R?(G8n4E?Sb(@RFleRY!sW;kZQ16g{ci6ZUOG*&yj@n<6bW?FAhWxfpiJOIb}5rBn1vM>Ln+UoDG1RZ zjcp01fa%SJn%(JXICA!dgySYX*Fbi6jwIj7q1zmUz+zsp4gw9&V6=%232m;}B#>If7R$zrZjc{d~1MyhM&AjR+nFwi9tH+27$YazR6KrZ}7s5Bsg*MyYp^@^|Nm`oH4->b%{n1Z2v+J%qM7 zxUnh8ie>OM1KCM7HAv5R)Z-hpt2R8hFEHdd+ozi*`pFI|F2e=sp^H?7%p1QR^Qos; zsm_;PTdnl+qkXLu9Px(81VYgOWlOb}&n&_5{qeFxuGXSekE)MjgsaYqB2XA?tx?|r zaHqWef)#;``|-+qToxHFIyYup8QAjAN?^+_<2=HbUj{qv>i$Uhq5leC9kzq~>!} z?&Jb`8z_x@*vZ>IOujA$O%bJ@ARr8JCrV1jnZ{YDv+!Ggp0Y7#DObb&mNi_cMDU5V(~NHgg`__jlswyPk1+-Wpuz1)?hI3prw*z0svO@ZUq!TF(5ho zihU+;y(aOyUG))f<3dk4bpNxal7`{uf zqe9_E_sUZx8b#>fa@_bRQ@0&lyvAJup-B`7Dv-x8FkVnBIn_}^DEl@$T#0o(U#dq= zbT-l;1m`BRbswwTM9(p)FrZtX=bO84X@C6uEB9{6YQq5EcsVnb6wC?)%FWy5zhL0? zz2S?RvTC%L(WsUk3HKbaf5N>XG-m3=$ix7x&Y1^@L~C&}gO^wQw!hTSV1{+e&+UvXtdPRvv_%BK!py3o!~E@{S=Sjr zi1&*B^qXG^d|-nui>pQeIO^MDsC+@0eZ#eqb*>bw(_i z5eziyr5Mpxu()=OGl0tJiXln1>mBeB2*vH`c5Uz!0!66#Du=cj;U2zl0=`*3+6zx` z4MU_8)E7KkVT&?uvU$&2vu3p1ajKUb#-6Ld=VE2$6_5Jg!7iY}V66p2xGRwB7bf2T z#3hHwXZ?0$DivY^dq@E^1b%oxSlil9tBX3}q0ouU%^rI&*Wyh-oC%<6njgHl+)f1x zBt!USZALC@p#xCKDhNGJ6=mHEmq2qP?$yaZR|X1>F0_fWf=6 z(|Nj!B!zz79WrjJp*&B^(Z0P5Nzb*Xz=ma$29TgiceoC5;Y~@RNc>(*Q+ZTKjy@u# zf%`~}ddd-dY(Px0-o6|UPYr^<_<}Y|_i}tNuacgSTLKd(uhxpz(}jGSKy0XWRLl+) zqJ|pmu0fcGs{Z`hdFXFY78r0IzY(ZtuEislmkFdg{{fDjrJSY6d(-yXG8maXZtnBPY zl_5B?qyi%59}uAl_QtzcK9i8s?;!{TTyC&@j`mYoyjv2`zHvA6!|?P}cys2!7y+xzAnqB=bewy$H_Q2 z%etRBqMBEZS}F%sfsutm%lg^DjHR`MJe3}rlOnRo{TeIYHv6IKEF<7Gkk+JW+j2%` zo|2jIyn@PIjP$2Z^=jpnYT6#)xw(*snFSiB6qafSQ0#x7T<~WxzmtjsP!>YpFu3`> zXG)8{{}l)n@qz4m9YpF#c%1rYP7?MY%&P&9b<$UEBtcto@w zg&cRAE6{S5zM(NgpjmcTMSWbuOk>vOvkSqk#lrjvm|<%!?O}ll2Qw(S$j?_fwk==< z3f&;ld=+1iBSo*a{@9#F@Aeq!*_!rfq2VGpZzigh8=w1bm3G?mu*b60P%XJ5`LE4A z5eFcm)YJ5cw}t6?w#3t5wz#_u7dsrQda(3nhxRiZ_W)-bB1-upt9V=&aa05R@`ukL z(Esq&&;Ze<(x&MMkWH7E5KOYdc4;=%I@Hy>q#O$b5cpi?^7wkTl17m~+K=Wix16gj zHDBiig!GAYfbAVe;I6m3dbdk0IC@x10B&K1dh3rQaR|xKr#0i}TV9PorX^GmGUc;; z*BCdxe$8Ib|9Wa;DOL_r9Nh}42X-y7kGsyn%rX0Az~&4lvBgj=l)&(Do?H6ih@wyU z+W{b!;hT!K+;9?Gv4P&aK=XG(Cu60ddS@-p<7euM<0DmO!&!0OLOl!xcG%85;o=Hf z{oWa63laeNBWPu8GLO&YMs47CD(O}!a=r)krdOZ{{~i+yUt3W-dt2aQqQ%n{)T8f7 z0j4NqqgXmbT$%#mxH}x#`BHP-{k+b3`WhfrgpVb76F4oWX;Q<=`ISFm5{PlQ1JH{# z%1Ae0zG?c=X^JM2dmAaVsk+IG(uG$b;ii;ax!4hJ?a8DLfginI(z^JJ4N zU6-e!Uj9zAnHyB7oZkoWU~lrpAAaGBP$V%6vaMI&Dh#iR#jh9ZY?u7^Phmnc-kNd; zYku1X3XyYNX9()3g{^{$R8$hys5`=GGJ9N@(zgckqpzUSN&}*MTB-OU4N%KiPc%zI zD_6@(d;aBx@=0XvE|11`uejXg+{9mY92= z+;Vtb{?Pbd0dQf={hsC(BM>*+$GN|;qSvW^5qF0Q2L-31ZvYgkwA^i}R{e_N_*m4! zdF1bH6Y_FZwqD2s^8AwBfQC+7p&%VXF{rYo%_X!RhfReWcmK3v5a_W38mUYdNse%7b)p%ohZY=41Mkw&XtR{_1%~tGbPs3$x%}@$Q`X zp$`@=>xGpw@&b5^TJ6~w5wNSgkE1;EFSYPPL8TDT&In1z?2H^ zfKaMnIuKw#upP~!%U1hmb?q}lR}g5|yN-jgldJeBL~sX2=AyIJUGt$EBD2BDZ?E1! znSXn*3D_vbZUPY4z6K4Xt%*Ef-w%^hqj+qR_5~cpf<^GyWJ;9=h6+A`#~HqQhLX-O zG>6mUAFKWIUJROuN8sUNiWZn`JW6z{u^g?Fux-6EodFyN(HjGf*ucyVV{!mtM80V? z$yw04mK7=;xvd?&n#Ips0t92iD|(uQa{3I=PbJRZ{Yt=P$=kIlR`Z_s?qJ%IyU<=U zKdI~aXd-EpCO9{LhYebB^*X8B4=of%BEYJ~kA6ZHvhYLh6cp1?3aMSic zJG0OaY!^)|E)*5>K-8sW`aUK4#?I9n$3*{i03c4`)PtI<_pq(9q*0<&gv5tyP!jU) zWW!O|{plQYshVb(e56dTEQwLyf-67bsGWNCvvz1jV6Hve^>!&o7a{4>GH;#jOl2;x zOG(I*9n^lEwrjU(#6Rs}fuy49saFIHPL^Gwuibj_Y`DmUG+8k=BQKcBE(7eV1u zscr>b*q;o7YG=RZ;K>O`+f}$N@7bYZ;Wp5gA1&yOTOo+&`WN&$>}yRQUEItA!`FPxmh+G$Zz)$#I5?{*R^JbuIU0PJC`&%G zeS`sZMiS+OlWjV$GVDnH(0m0nDSC`LUoaj)>i{I}i4Ya2R!!gmfy|0#@W}-z`)7tM zvEYEnPfn8m0-(~Dbz%D3SR>dkLgcUCc!#r1QE8e3b-&#V%Jms>%Q^AEEz^&i3I2>b z0xwGB&&Z%2P4Z}*dGG>{qcn&HL7P_Lw(L2#eta^+t-~}0zV9xGOsWQ+OZm-}R*y+d z0aXRmD)woGcX`WsC176YRkyf%PSrUmta<{cF>LE>7>PFf-xe%50%o-HR9%Ihg8Zz= zq!AfW<`9@SX;y@v7z59+vjrf`aZ;nbMl2dp3CNHfUzUqMnXA68a>5g9vjA^<>zw6N zU@crr8(ibSx!2YkLwU1bmUX3tR)WeNV4_QiSap4F(rAYovM)@o zh2bEfWj+WkgI58FTtapT{5IHCQnr>9`T|DNI1~w9*PE{U7O!a{fjX8Ws3!XiefP|T zQY|E!kkA8^3i2m5*O1<{=kRwgt6SG0Wb^ARk#C{35Wk^U&3c~uY|`3$oG9h<>84&ZyA_?tRWh#mQ=nh3fkm$2 z$n|W|$ond->Lm!U=t_9t&E2N1@9k^_!b-#vFS{u=<7Tbdu`WJ~Fkv(Ni~Q}rkrs~w zSB0Rw?fVf&{f6+tcz*Be%LDb*OcZ!o_3SBdB5l=Ax#uj!DtOXj?`;6OX-lhO))woP zbUpREsRdylOfmn}(veK#Qnsn^f zood2XtpEuZQU+|RF)LxK+tWJ#EUT-V%72qq6m*N~8*+ zV+ESNR%+VYx?MoHz6EUnlDIKQKy_*bc%p&)u0;*l9$%hc{tYXzhAc9@XQ1&swW2?OAMLBv@% zLbW#pe#ZtP_aPp`z+r^A901HVXt`e7YoZX_$WF5f$Ug6E*w(oLXJL)DRh406;#EnJ zOkPj~#1{{|pqtS*EDJj!+rq*FND*7hWqASyTmXt*dq)}(1%MyXf#)JdiwJ1S+v?18 zx+|6a3{`dTHO#ai1}=h@$&F8lhw@sj2AycG8J;vP18eRu2ry)*exW;DUHt(@;-;q&bu9aQ5SQ2J;u2klw(cgCFPczSJOSq=(e?zRpy? zxMd1y)^^0+6Zkl__*ZShSZ}_5)hOZA8h1NDIKWNSO8)z?Cb585x++bYH-Pi{;3-oS z>^YykDNMm&nM&q8n@}DD=Jz9pY9{~#AXIE#MIII^K5M{tDoemASp&Lbr>tk!CxASJ zIbJ#9=E6ojX?%(BH&FNhHSCt zu&>rRa2-sB2;EL^nObPy;fky4JJBby-ZhyL99%6He?)wP1upar@K8t-LV=zBQW0`1 zf%ITN(rC%GelzG!*1bZ5W~TvHyy4xk!O@WcG8C6z-|o}?C+)mWhn>Hv&tG+{L!KU_;ompl}%fZgP5#y?ca-ofvJ=Y+<$v&8E1Wo?vm5EoA)h_N+ zmS)lAo0gs=`FB%|+oRV^$|pP;O7-5^Bz}u$bO(N3sHvuh_UjVG!wq1a?>1SFXq!M9 z9v`|4LGAaoH|wDHDK+^!QS5i}2}Ia?aiH*~E@M1Q@PfqmLc(H1&66A1uJDLgikxKI zQKIL!GaiOnZNUcR`4#tlfnG=L9_XVJIPRVlHwXmXI=A_@Sl5KRw5BGx_15HSNjf$C zk5eJ%amKO@_zL|hvp3ueVEKRIRNBEV_A!UMUeh+8I-MSNpL0GzE$|a8#153ZkGL6c zhEolgsFa3AeFuTAe>gG$qlX6i9X`sRb;k>0#lHBihEb_gO_X(^Pg1c$3q2qc&<V8^7{esrs5JN>tn`|buW%mZLcQkQnAJvKyd!ZXrRU7&QCOH<)_vME@B)N0IcRt z0`mOQ9rrY`w>iK02+=Os)bGfjH6H$C9g_~vyq(VHXPrW5d4UxzWc<;>MCslMu;aBs zAao*Ir$z!&3zsQCyNhp2+;lCipG43pzuaxk=<8C#N=oB#8cYG9-x=V)a#f7gXjYj{ z0S@OLy|Z^)y&CfafUcao=w{NB(m>q@mZ0bMbc>05D0T(}jFf!-x0G>tLoTKfl;zDc@KT;KJ;6A!;6*o0+$Vh6G>YJ#BU(R_iI& z&<$G25B~RVK{VjBROnG+X?}##Srr#-;}fdW=RP450&5IR&P0ddDoKn^Dd8 zz{!9D+~kB`Gy8ti#rSiogiqipRW z9T5#+LUAqPZvg}$BZ87JTv*Bv-nO5*upus-l_l{cip51oa*xC9vKR07x1P?vp+MbjrW zbC4F}GP}=*oxwY9>ka^&&^QR2@E8y&dvhdX_R3OZ#j;9(FOboq90rSx=IFIWnjsBI zS2cR|I5Xh2jT#qhYXa-T9M{7|BN~A*yt~lv>?VDf?pN#aV&m3YeKS`QCuQy|YEznK z_%~HR?t!(RJ<$z{H&R{2YW=Icb*nO+!0t@6>5!Qb|JyY0$#HiD!f`KG5P5XE^G!o&_g@sQ`sz5oa$`?3Y< zOPg-Wrc25v5L@1D`q&c)bO>iC`6a2MT7HpLH-#_|=1@9lWhL&J4a+ zD!@(DfvD=5-{%X#&mZ;6fw8=n%0Nf(xSwLne(9w-!P z47jCd8B$K-JG_U626}cl6}T*A)u|%V~3iDZBCuR zWR7@nx@L`Sw=eZgD?B~v81T*fe=6xS6qW%yzP2ZkHl^t{UQfiC>!%$D`1C*hdwzQD zeY=dHrvAfR05m7qu!nsr?sgr#1)f9mhcHs!4v0*sk_vSqbpR-TlEl!*0BP>m2Y|o5 z5(WdMKxPT~L${ql;+GU5q@g(QhjBcS!ZJXB&UEEqG8vJc{7b#)*N6iq{NimC^dF;% zst5Aq5R9td!2)EkLkYoj46@IauzxTr|Hp5G{AdWMam%D6;Q#U86fU3&@d7FiR3#z9 zQZV)dz1tzPyADEJhR~3RIc^|!0q0b9l=*MlqCY#t%S;8s& za^3vr@A=Ou5|jcHBh%|g^z8rbr@-W^hyaTSOR6fA|6^j5NWjEMAw!S;x0(BMz`zz1 zcxsCzdjB6269qAOQg$GE_xOL^0Dq4fY#INGXMKDB*Tj4T6O$1AyAbPtnYmw=XhATT z=}84s!oPpT|N6HaQ7|$8|JZ_l82 zKPvDu$al#B?;+J`cS`p9;xPRS!`=(fricRE5HUcv*bAP_9INRvh<&UDK&IEcDbP&U zzW!1k{_$aC6oT~fM%Cez%K(Y!2b^V6NJ%KQ09d~YbA!Ij5>Nv7m&RP6Huj{W6&Tg! z0G$QQ$>qOKdyb+3;M+QM*UT|yDH@4jt0$<5Wz%c8V zq)a8d=G*%ynqYXbUm^}^2J?@*$Zrh>oQK8wvWp79NNoVUX&hn$Bq>cn>)B&aWW?Gt z9ZKPXX}kK*5eW9nLntS@TnQ?-)!!9qAAoE5Rzuj;$!0%r4yBk4Jpv*E#4`sobVHAq zWnTtZ<6+~Iq-IPVH$%a*$cvR1yD{dnpQG6yN3PUm^p7(Ja6=eF?nr4%qg>k@AK*(= z7=nWK(?j{M12#sLq3a0D5Oc*CdAo7d_b1l@!a1Od%x*O$12N!liZudjVgi8H;~}2I zceRgi0k?I3QS)b$o3Y$5TUO9g$JOkt+Thwr^LR3zMA;`Qm&HsX2Ih&$Cljok42u|w z%2z>ZW7XqQV@{K*VpDshgNG^HvF>eFaXB5cZX-6d>mQ>6xdm5gE^s@bI`}<+unYOB5h}mQ6TM@nP-1 zyhC$p~GX=&%inPB6hl};XwOR%a^U0QW4y1da zISv=d)Bbf`c0t8iDCRA=BjYlY9rX#}d#rpAC+HP3+8W7(i47R?fAss~ub{xSfBO+^ z1x-`VSlxz({x&kSJS!aM6Gu=$`hMeL5+;(3wDYBzn;xk;s%u#Oc3Lqnbq6vdS7mf;?~6$&$*@5 zdwE)tGcmbTHGpBwfMy2XuAee3+G_!@Jl7wepk@nr*7ci>pchUJX;zVS(ugPtFc!>SUDEp%vY=1T8!mKvTnBoOAPCsx8+%t5X;__m@ryd zHey-N=GCw=U41T7NZ}NUlS!or)Ata<=Cf;~oBZ_TkLd4@eI=0ydF*(IEZz-SmAAyv z3hvD117mqPk?ME9|9f8{JhJ9;gHU#X>wQ#Mq#EKPFuJb6WtOKDiOdE6*sbUG<>9N*7E+Ut+NZa0hW5bU8&*L7dOLtZ?in0( zJe4IXv5Tg*AEE3tHN>!(6jWfJLmD;Yg8Q*19Me<$Uyr*IMTOmpFwaX!{Ts}@Jj7LQ z+gK}cUEV%6w_5lZI7kn}v;fA(X6udjXgpskP?uRW5E!MngM|sy#YqP~oaFL+)cvM+ zWK(X+?)mhOd7Ps1W}&JbaV(4?tY%_n@up;r`YIv$bdm9S2Fws)#@Mj6o{ROAC*3x z2O08STp*vvsf0OWe?Y1MP2$Fev+@k6&qv?vg3G4Fpz*6tg@Iqo0f4P2uja_nOnW7A zUj+eSAHB4mn_k>tnsxWH6cX9wMA!T#R}70$VHtrkqaxh%Znw=SZ)8g{IFJ%p$1e$jc1@L4YP3-f}%<#dKoVxLgHzk*L85$lGF)reXi z&nTAGgYWqev_x%F(Zl9qTAFt{hwT!&FuDX>;ABRyXvk{@AyG_;k;=Xfbm%8h3SCNc zUFqmB9CXz7nIFZV(dg~{q9w8vLw_^uKR!NpUQFh=SscH(7g*AFmA@WL_VzIK*hr0; zpI&giT3EVsxj1du^c=dNOQfpqrU*Mfs9CFCd+A*EUe$cb~r7UW$Tm`%-dc7xl0T#|ahjhIAS3wLNrBZDoRFcNIE2H#hJh z1kJD~C+POoT2mL@$o(stp%ep3yAoJpQdT9|=215C^XMMR^=q9Fc|C_#)_&YqSGU6p zBgm}}9G@b~FnAC9-~9e5eu{{z?}(lE)zpZ&qHd}tl4?-cslUoYhZ`XoaUXAQA`70f zvGPFX`DEL`35>_{A-~LWhkt!tJ7}7a&tnHPH1016i+51Jt~;E!UbIAd;@h}X05JG1 z!7i(2c?CY`M+j-iPS0I5RQlY45)LP*&-LfL892kqyw{d$!Vbhtmi$i}A zC6RI{7R9w(l2FoCVG>0`de3GvI+8JC!OqIAH9uqWQXoA_Q~%jFLj1qZoq-tKN9ow$ zrET&ErB>T3NBmZ7V+MPz=at&WZ73T4TEb&<+A>ZZ(?V>-WbA{{uVuxf(7MDC;FXnT zKa^ue=R?^wcauh!lfeWhg)F1wl1b!xdt+PqdS!5xwsd~~@L@Sw(<*uW;qX!a?dkAP zLvgv&zh=P>dg|FDO1SA~D>MZ9xY>l4pJ6+~4F?7Xd6ur^tcbogsZB|#_O=JW;^66N zmQrpHD)>}2E zym$3|OX!7k;z=|i`421_B-Ia`k4D|ljui)pXHL zbdPI(ULBB~7Y#bv6%VCjQrC#m)_fQ_kgcMbn=%>*%B#t|2)Of(OZm=Ubz!u{Vm>$+ z)F-sU9frqB&Kt58(+K+S(!kkAAlxh3x!HNFJ+Dwo+0LGtzXms+FTS0aq z+b;}gBo{NFIMq19(E96Id;~oqPr1*9!~6}aLTS=~JFtXGsQ6u|;Mv!Z!XMJlcM1X zHS#9(Wcxz9+F`7`+NQPV*xL*v(28lp>ty6QyqR!-?^IWM9R~?H3R87!W?WzEmI_2LFkH{?-@TbN<|CbiaDbBl9@?*3*ARs@7CU4 zv|1$+-W(;eTw(nESp0DXwxHVi+qFcMRi1e5Tj^Jo`o;x&TYrIlvHL-J}~< z_EWMExNJu;t(14(gLGTtxN-dBbNs>u-@HE$T;%q{QwbvSwj1+nSD=47IjuP_TiaN4 zv-O;cwyTzgSv6czRk)-N+GI)uvq(#kSzGeqxAsqJVeozHy&oeRn}`uy-`)pdan+%G z|MlYNJc46YK2obR^fAU*W5|W7N&E;X-$?*NyqQ(2KGuh0AYe$q@2g*6?b^BqMw zDvmD4kNJY=xF-aUWL4NoKU;|Z!iLPp&ZXr*8tlnHBp7|(LCTr46>BtcpigFrMGE( zeCuiMd4y}T@kWh+{T~NX!xvhGJRyY_4Y(7d1xWbNc=9PRe#W2saG}FIM$egu zS6DS~8zYHUFgCFg=`xyV@jm|$ltW*HjPW5Znsw3`7vAgYQET^qoR$J!C^=L$0%gKK zFNx1+8iderqU2_BZ}kHDT-4jzoxD1XOuAj2HC5E3Mzqp<2kfz-j7MFrQG}uMcJ4%8 zum~`}W@>SbHtwM#F~B(#Se^`Y6x=NS6|ML=K!e0zq-mMX`e-ZcZ7RRFhoXN)dSD8Z z>KCm2LV0h?Z3{P@FeXMWp_*n+d)@)E+$Ha=wiH1q|8?>>ac@I}*ObJtVyC^Q8gj^S zaGyJ-I@+}Ik6syqhA{;SqFlr(q(%M;tAR%bC}LDnv(?zW=SI0kX5j z_bPcj`+o7X1uh%$VkDQznIS^<18F!Jl015B@*knWADbQ=fr>>qPNDk6cj~=Ydgqn# ziE+8#0J^gesA^{eWryBCZqjCv?7lDm=Q2*=_+jD}oo;>b&!O@*nq;K36q<5;K4w_8 zRypNr`XpV}+byf*CbTm9E{@WQKX^n2nGc%=p430y=I`V7f&+@tt^J89TnB`oc>r9Y z8eHkhS`J%pOlt*JafcJ!_3mHMcheEJJxdcO6%jh;wR4qnLP}Z8g*N173u&eTBq$+` zN~Otkng=HZH#!?Sw18aiP6m@6%a-%e1dJ5vS44c7JYQsivInI~U%9M8c zw)gO7bouj?VY#KyihMi}QEJ#1loc zd@&wZO;HM8hn&n1y6=+1DOkweQ8AX}6A$t&x!#X00)D{O1nGM*~+q ze*3xdUvXTq5K)WUXf)~DCu_@zEMLlq=FazWJt|DtI&HpwQZ&x)Qo-mxU6&k6t#NYu zru4NVaM$6l&0EF_&3`j9JlnK*R+eZ|w!75gS=Vx!%a}TIns(9L(|QzcJJ8I)$K|m0 zuH|abHW-8Uv|IUX8B*t&_3B;K06V-m82; z^iaIO5sVPd^bqY7YZZjx)j|asXF2p{#ON_m^r9?TVpjbE?EpDS5{ z1I579s3&pb{%bA$REeT!s&2m=2_jQ$dI~@GXtv@I%9Ev&=$g;gRY5;L)$mublre3g zBYuHXwfNUfT(5)*-aQ`!P`^CPiody@Zd)X9TYiKvbiEQwu@C5tpMb+oXWHGKnYONO zDj#qVJC7~*>I#-@{!kModOB6t>fCNWZ8QKQUqAGmv^O-gAmHiyvF6-nxoxhel5(u4 zNSJRqaGLT%;!4w9)43Q5zEVCms(h?3+i5qXvX+yxGWo{FMkuLt-3hC-2w4mOcZ>%0xus@C2|ufR}m%nJgCRXahBw7*3N9 zl*!RhY8(k;(y1Pqk2)%cL?v5LT4)&l;oPst){hp>5Bd7+{wn>Uq2(m?uo|L3aA-*J zzUtRU?tlH%k~o3?G!tb8$c9X98`sW$E-Cw^m{v?pwJ3BEchvNUSK?wLLPbNi6&`+s zbf3IW4&7(s?C`8QGXZrVOobYIUGDekub%m#Us%P^prBZ|TqCC4r70-r0uFJUoj*v_ z%!PFHe?G(d`?i2Q&auK7s6oXO=KK+VpE4CpzmIf|XE~BRJ@iol(3Q1_TpGesN`$b~$;hW6Drx8H-v0Hz*+C<~0Y9Bi{_{_fGpVkNxHQmat0eHp zI4xUZ=ipYJwQ1bWn@QgEYQZ)ha?e82z^$oO_ymgvr%Cx**jLEoQAb%Y!5c#;{eBp$faCAt1KZ}-@ZIEz zYkJrvUZE)qqIzvBzKG#q;|1k_e2m;6{~Rxe@L0i*6;tTlaIR&mFid7bJIQF>$FPJJ z`4Bf1LQy^(Txx&jl1*prCKF_W>VnL6^c>^Ke6B2c!wK2riF2E&6ORi5uWbA(@$>(P z$s#@%q1uIvsKtn4pbs#sJom0)m%Y#RT%YyaHCvBICpU(yEUME-@XsGvSNTa)fJm1oears6R9 zM8>(DShXHbAcTf{EP*G8?%&RdUY!47?(eG?Txtd|aH6TH*rdh;9Bj&%5~|BT-r)}C z4xoPJBv4jG4<$n6&M`4WCpYhfGSqNu%<^S>-;J>OhDe1`I6PztL;7ANtadU3ooSH$ zOmZ*JqeAg`_fiD)E%jYN0Nr*d#WL)F4m+MyVdF}#b#(f#w=&}MVpBUEs$AtXnc zEu98Y`b)<7BsYQDD+fbi7(@Htu2?gZq9&z6X*3gyG2{jXW(gFn6A+_V*Pl6z+fUuS+!Q0yu_5yJ%o8&@6O&C2` zB&;WXO$wL8GK0|Q_ncRwN|G7DCrr{s_$D7V-jWp|;Y?tzk^aw3EBG0{Ln>p-_^;KE z6?`M8Qsm#v%ZF@j}D0z1h;6+1!YP~1CHC8W2D5Y)*y_jh8U<|jCKVk4wf zJ(X4KQuS#Rx5L`>D|hYwtZJ0A?OO>%{-b^Yr+vulO6k+nHTkfZm`Y)8BzI0OLv|??vH!6rpdfqV z5vn)bUlWZECn2ZomwDS2hK=?Hp#_$f=?4V?sij5D(?nI6Az_8VVmOYYrfp@{zb*?@ zP|CJS^FmS$q{0-$d~D*cb1()kgwU-!M+8d@rM-=$p{`GKt}>H9){ZV&KqEk3<=%ly zt;D|7AoI#FigI1C_*7@oFFbsL`DI*01a=%hndqcvl3u`vA?=SuNFpPYig9vLqA$OH z{LhG70Ur8?$HK2L=8<>?4eHi5yi(H3Wy%8zPF3uuMWI*p&ggwnl*@7G%gprfLTqbF zPxzqSRWf8|E*kk^rbUBkmh(0pH9g2H3{aoRzlmx0vpJ%pShz+BUrMEt~C5nIHA`MSwyjFWQ^gluu zawrqMA2i~}oxh?Fa6-D^a(;gmPAl;xJBKa2uR+$Bzq@UDvD3Ml?pn5~D ztqr!nS?+IIhRQi_a1(D3A_^(xqt1=m-XY#33|u)G5G_Za>s6Td40Q~%880!M%Ese8`}!iy-^<(r?~0U1QbI|L&>;sN>n(*o#c)6pS;x`{W88JwspzU64^%G294I^w4vyrq1;Cr}mh2dcpKMP?N#GSPl$h~G@IS6_MW`wng->52u&CI{Xr7}6$E%@G5VN!2(2x|tk$U{d zK@C7lyeYiCuE;Tt9@@$NS|Nz6rOe`2%`QEpXc&SRU(v@Y#Q9v#cmMCZSz5^8P_KX9 zBRTit-i+vA>|~Rk+Z{bR>OLU)oDNqC_CwKa)U)s&$u~;qAH7nDIQryJJw8a?Q4lW| zTvu(AXi}L#tK~=8<(=i;t#4AnmlPIeWM%Ao@CUu7x)IgI--{&7z57x4kuxu+(15%A zQs|bvkU=LQrIOg|lSlWQroLHXgM>(gmdJ}E+WWu`7ge1Q~7hcXvE$agd?G7XVE#U4%AeuY>I}+W(%(4UFu-AVLX+U^+Q*HEDU& ze$KbCDL@r6v0L_s+EY2+Nj)+pNveN;xhW{nGV2guu;4y43p z@GR4OGYY9)H7BK4QlH46K$VP#w9PYXk$$Fvt-$3>!c#pCy z0+xyb@NO{vewsxjFaX{oht(RqRKm_5vidc1>?6vKZ^8U9YhMI;Xcyj54xm70A!7#j zv_g|u^+=Z|A&P@cUK!si z+GFxoSuj|kT=gSVI7bziY(nztQurPc-HGC*Qf47tF5y&rxgFm64{I17mMVJRNnb#I4{9 zO;ToFmSHmiVTA_^!J%#RnD1pw?RAq)zZRFzOX3=H?nqdEB74m;E3qYN&)-pf-Binb zB{ARn6D+XcSZZ)fkzGQx`R{A?o+7ZMcC@DL+Ax~wx@fKKG>47195YWNIRxR4GqR0* zO9WsZe+vlHWqnQy!PTTzIR2S`6@6D@Y|W$b8!)A6KSkoJG;3-s=T2uysm< z;%7yfKS?5V;HW1cbl^N+frssFGHmEW<$?e<&>C)k_bn=DDfr(LCS6FxUk+2vUZnDKR*mj5I3map5K339XKBKC)<&9esEO4mF>^k;gPw-<~yS2fpTl#f4d% z?eZcrju}>V{>>BqM1cmtpN|#UILz1ipNnc*3kC%}2Beb<*(F!3W2O7dgOrnh+&TFG7Ps z!?nGu;8cyT>~j>dMkK|!`eYPRpuoJkj_QhrnMX1IGQVKbGqOsn+5S8*noR=h9B6P% z$?-LX6)J#FVLp8tO{q}>iCVH4vL#VaAKWm>2r$cde!62(Yd;DXs#KR{S*`}`AmO5U zK7LGNzi}GZpo{Kl=^p$nI?j#a|6Y@6$)}k5$PNkpI;mZ6DQ{V@s+gAje-p;`33+s? zUVd|XIsW%=tMd#4W=%UDTmzbIf*cb-t@v&{dtw>`A+S!)XgORFSwr1KcN+%MVnhmO z2OkM4ZSNURLfJ&xD5aMtO|EdXygZNCYk1G*0_f>Y-M`VJDvd-#ZsFIBZvL$wTR!Q~ z0l(I%>^JbLq^fIPd3mA4qkyjPz87w>Y{aqrT3JY10>5NMC#|o!tO{#)m<#gox2!L> z=p$KWK5r`jj2IA;GyvObv&yl++B{K|&u3>HNM-oxzUmfBh6%7v7bj4t(y*IFmg)+j z=<>y2Lu~qBHatrecrW!Orx@fTV9fV_0*ebkQO+-5 zxMdM0r=JdDsE`M}3KvAFfsAN2QGUm5)s7kf0gsm=ONdDB3tnOyUWEWjH?@Fp?Q4~YI zuTd;eugtvS`Tu&mrg+TgSWM|7c%$`CET+NOK4sT-rY3RQaln@HQ<&1{eN#<6&HZ= zH>I9%9nDY?;_1VUkaN%Re46Jl~QsEw^TxQN21~tDJDx+*M>Mbm*l8YtG8iS>$)} z&bW(~`JSK-juV=ninK}!skbJ1ck*~lr15)v`_wds=+g-c5f@ zAKJ&&L=DE5Bb?x?m}s(Yw<4r3s65Jl=shehu+3>{3RUj}DJs?IfP)aw+SJ>Ah`-To z0;>u(w&}Aik16msH>aH*>+t6m_b0ZS!&+S{UqaQ9s+rPRfwhff*K*N?S+4U!Z#k>F0(b0SKr$%YoZ!u~5J8{Hf zA!go6sseDszm~6M070e21f0t~x&#zHgbhxl2E(o|lx|$ccuGP{E`E==1sOM36w9H& z1qm(PIPv8J!Q)zBzNT^tuu<)V$`!2r3Ket|x zWL;L+G=fnuBlB$?C(KXjb!y%r^M5l{x#uhtP%;-rL0j++ua?zl2Q>rroggXhEiEQ4o1m18ztJVH^(c085y`-e3^_D_OW;{wX;quGg;$|CYZUcrZ8tdODk=UyQDNjb3sIDI_Fp zyy3}|pKyQKo=2;-jKkrm#NBPj9E6BY>`HN5aEcW81sCnD=1e=$+`vk~a8UZ;H}cl4QR%6%$c=FXKC$V!abWzdI&c5z1gBZ79^@(n0DYj_pdCC%~FnYMv1F z?PYT>n2UsEkjBJAc!v^1qwIFpEv%5U_SRq_9~ib9eqNNW5n?6*4+gi^9#g%mxM;ox z{PRz~Wzk^xqvkQ}2M_(7=q)NiLBvLE=2iNNALXAGP`%;JM2`@>b#PWIlpaY>MB2Oa zuEB%1NC8!OMGvEAXL*)pEP_mWdlM-~pR+Tg5HuX%sy< zr+$ifA>#lEML6fJ+T$^B0ewOQF?~^pN=o1l7Bep0k)&&8MnUXK!wh5{;OvK+V4e8wNbSA z=ez_$aQts%iMde%4~bK<#H>h24gZf+Tqca6C8z#!k}A4Cn%kv;rv=ksT{s~Gn^1pl zJd}QOTI2h>t!Cf-2;;HgIEK)!>i#EE)mR3aaKf;tF0$_6+t4^w)&!HI{)Zq?f{3b) z!E0ejO23>Hzohae$EO&vE)Cem<|4xQiZD#G-H|-H+pP0{#8dh}I|w={wex28W&Hbx z)MLZ|Z;|UKu-WTFU<(~djQraMWSS5gRZHu%NZY1`Qe@{?RY?nE}XQ;>*~3jqwl&sk=LQ7%)Zap`ykZ zIc4&Fc(yE@N%HpNT08>*X|Z`~!61U=&_PS9@Z3uH9PUx?p~Es!LnKg8qB}LkQB(Y4 zR|aZrCUUzk#;mb}%-ad6%l@xPW=i}|DeFDYon89(i$p04%Il7fK$$A~t5!T>psx$* zYtn!K6)EfMDtf&qJTwZI`psc&r2e78c(-({9}&8$Jx+Q|ojMZkh@VLEcmL->N|rY* z!_JDaB4rN0e)__IOq|(CC2YA(48Sn){XjI|>US35&HFcl%uHhDqYGC~Frh>fbTd+4 zss)Rk8EaGpe?KxHl2ra7LxXNax7a0F+-& zL2nhhQi72C|LsbZ-N&${jAf$fAh+_=n?v|2VP8fnL5S5<^v6_Y4s=0ZilQx1mm6c` zI1`0I*bwSKug%^P9v>gUf0_qnQW)q3HEn;KJvZvRHtv84lEBF5Iy`#8_c>N3S-%6o zc*lv&)_%gzUDsm@ZH7`Ai!_77e4pRnc%dUYaLhK4^@bSijGBZ<7G8&V1&rYtr zqZ>S=hVfi!EG{bkK7HH@i;3CS1vhIZw}m&W>bC_y(HjtcqtVxM=?GqTH$Vd^2B)a1 zEk8C-bl%45y%%W{<*_bMxg2dR1En=n*ZZYE{+KQp6XQxKGdf>=H*i>4SrIYNwy%dp zS!y&G;PP2V9j>tqVJ~>slH2&tTHJBgOqtimM=3E0X zX)z{6otC^pxO6xFe*`Oot;bqP%Jxj$jOwT}_0*UPPY3QC(5kvj!xslR&u zhD~8%s@fG$8WmUoqWd&3U4j(YmbFgW?js)&+WY)cbF#rIZu#@y(XEU!Fa&h1*Lsv( zB{a&tM^X7&4ut27o~yu}H`=wXKfgSri+>C2u;s!MgvCVB4+w$ib3;$Z?Krh|QRm8W zjDfKbkNe5dKfchK^C&Rc&@t80-)dtQn5hmk*@r=QLLKOs`O8V#1hErzCj<9!mQr#i z5Ejk*0)ub42+$pW{fMvp5naa|M&bn1BMfY9AAu@NR}4i%xjh|CWeIM-oE@tCbRNrZ z3%BTK2T@NZ0Hm6x5)&?ZO+=PTHBm56caA2|+y0d5${E+q|V_euQ96R_s1aX*!LUdKLTT-FZc z!jS1u5-9J_&?qntv8*q)Y%kU!L)XqK_x!y65@oq!+JS9)D6X*@^y23?XfLQedi&lx zi8W63(t|YLrwXPw#4qQyK_cmAlw8;r6a^4}A!#R_a>z-j|95czV>qFq0y~9gVoEqq zbg`m%F!TdEO}Rcj4RUUKN+dEqC70AW9n~(js$g+lZ)y5NO`b;ipowv|dRCqpQ*N_V zW?x0zOb;UB@BDJg5S=_%%4)c@GaL$|M?hk54X`Z$WhsWFni&vuXtk4zCtc)lk z^utlWKYCN(sT?|(oqnAi`frZ;)yN(fLa*6m zYOnlmkbW|$1Va1+vjrSMYjj({N<=}zp%lKEAd6s^!{TT!3S9`#v5bgUPZkp>jPB27kjkw|A-x&+N2` zZ6EMDvX&9dbYwm&V+eA_9r?w9%_^87Q$gDr2(sfH>w(L2l8lM1SmQttv%AFU@6UO+er2)FOh7b)*9tW;{Wn z=&s4__Q9%ENt|1kz%C=n4YNrzq3{UeAr7zrOFjFA_L9_9GvMN0NskWH2S4DRF)O!!3i>B zB#lRqOX17QSAWHYG8&9Oi|SPSpU)przUfsqChh6WzTL_uJma+Y9HGGHX&O5|sh9BB zCco|o@$mARMZ5ApIAw8v6q2$`26jP>puP^cD{efBKMFQ@cA{!C!xrTgUySL9t<6J94t;Qz<3t0!ru!*<5jsT{5v6Je{KUpB?OdWzUO} z8mo5X8-E=Rnw5`$;7hmPAe3ZC0>TyKneV$zs4lc+62C^WWI9q!?+c9w$3v7P(?UKw z%ktd9^fm@s!N+4)8UnYum0;F9E-Z`n538bz!BO-tdY~zkKE#wh#tK*o9AwiaueOde zGnjj0yuaxfJRA`H6rrw2QP(5e7)qkC58*}84j8V_}I z(PJxcYw_za=<+YMKE`Mr|8EF+jc(}8ouB2{S%b6=ESRoRZ-(x!iK<7GKNszT$$ow1 z^RI5X9IuowbTVWAWcR3t{V&sa`$Op*C@`uE50Z*IAPV5=se%);f`=`Xdl`nctCN1V z7%mH%s)zZOFzOUtGoG|13IF>00#~gAn|H1FYXA6Kf5$revcL!)d3MqVo&{VM2jD8B zUAQgV@Jd|ECG&_0qk%BqeQU{+UJd>Ag7w_9_eOhVX zZ03gV8twZ`+J#l2p`g?ASMz6sqG44xJ8ic+qK)4hkD7-3Dt@AIG{=s=Pu~*+(vReY z6R~`qb|z^7$ig##vXYY!(xeT8>wZq^As*J}JO+b;HVzmx!{m8Y4|SI74Fx3~V_Bbg zC#{`M7aKmtdu5!j^jUzLB*43Y=)j0J2$)n?($jI%ljNy6{v_M>IhnvE7#I(t@-dpT zQ~*&{IzlpKC9u@9fbakuMN`f$3zd4av6gaa!a>N>L9Z;)$qzGCAGmv>qF8mlTHWqW zBOEB5cescXKA*X?{t_iROO^wii_@&;@bpAbW`zZuQhrAS%v8P% zzFaZkFaC3O;=pe?~l_b(C8VLiwi9n4b$oNlB|^w1E`hTlUR# zcBtGL8+xkIYt!I0n#ITK`BJXYo)LWKPT)38T@V`4h{n85hf7_X+1qpLGJUT<2Jb)- z+rA&FrvcU%`e1v$AMd?HMV`XE<7X$N?=f)`iEw1(HzHYV= z9b!gS35QH2jp;iF3^p`Qn8*{xxn)E^PdQ_v0VWcD*hDfKsO2iEAWgTYQvt&QI)|m* zrmn5s;JCqO6&B*-7|5VJnf#^Aj5BHou z&|jjL8A<36rc@}&;9-dI?0i|wM>cBxVJSZ(BS_iPI)QxIbK@@74D$#6#b@XNe4v_sL zPm!-NpTLcyIR2#B0vO)u7b;|q%8?bN*~LNa{9EU*bY$BpM=}(iD40r+Oofv#yhp#u zRT;UorBKTGfV-QeTZ`%@ar9!@-@m-tX6KKy&ZgpTrsAj38|ADjeb>0l8O$ws9qIE{ z9G&0H;)|vR)}0SC-DrMBk0f)*$L~E~xYR9)(+OSrLL}wj{Q3*sZa&k^X4t%JJ%bujuawxU;3UVwhzI%tn*FO zO**#tS)sNa6_S}gj}(n1tU>qenTd|;US=0;ETVl7B4hb5ImP(x*Z3geGWS$@aoXx7`5^WAUfM2(0a&pgoxx>@w&*m}^6y!(U0 z^F(h2G8QPX49_~w*mzMhX!4(wsE~Nk+2uANTsEaPNboQ)n0ru&aC$_?@BM1hJx*}` zn-BU*>hx(oGhHX$@cmTy`zm%21507K!~Xfqj;=%j(IQai0mkTsA{|?vNETgPC6yGN0HD(s=ZufD8th&d6W=8b=G!w;{u~{jW}lWMu{DwK|`q>=dw(f2*-ui*Q3o3 zQC~gLn@2M^c|YwZyGr$Bzoe7I5(ScgY2@UrSgT8<>c3y%LYMMP;da;&W!GP%>Yx-T zop!}6$qp&fUJCA4sA}6^g3MPHQKF7|6h>uzkhsi#c_t~#?ouIoC&yYQ`sNw=rcIs@ z1Dl2kPYuQiUvioKfhvO2xaZblH7V;cY`h*K9#y@qlZ?~%u8dhP2$r;W-r_ryl~xx^ zzn-L2Y&1r$6u~GzX1zL#iJc-$$QY2AY1kvp77MLG_$m4?qlbK4U#yGoIzGi8JJpLMWxGOY`+1IXkg|T zNXFHZTTHsr{lF^lx%%Isj5XkS=51f~EU5xYpvwKr%=EPFzVF5}M-kByycYCAlf6d& zoyOf@rfbuWPCpCIe*boQiM5;Z`oT5$FSUah0~IkUlf#l5q!Eb6-S_elT@DVZF^FPN_vhy@O#+Xh_-}YJQ49%S>47_5f{&cN|ju=q|8QnL{r4agB8VMRi1M`?#sro zqc>O5m7y?uq3n#_wA*;9Lw)wZG6H?bjHeS>vWB*%f4Z69zcH4J>@?#VygOvNt9BQAb2Yo* zPa|3qJM{XSpbBedg{n8YeH1>Vijc5VIn0sijWG*4cOVt-R@1JQ`nwy$0A&6kNODF_nxi^|x+o8zcKu+JL!?MzV}}fRlBvU=^EpZ^=GZ@{S4qH z)@RGU8Y5WL1}1u<2_I5|Zw#kU`u5)m`%_@a2wzZv0E#%NgMlv?q*Dp0k&qE_R}y|9 z@R;~A2g(c0A+Jjt0@gq+-MH_OUJkf8jqY&OCFQ6C7bAXXA1HNXD5bLIQVa6_Zr8l0 z2rYllQe{A_;bD3=#YsmkK~W%k49#M<{UKO^f-n{zsb3Rlc;vv^F=(h|$w%Cxq|w)p zzRN5NnSv1rYfqxJ+{=!o!%Yq;*!htD7|(V}1@PwivGBxrbN1xdb;x_n$JrZ2(46q@tGQA?e{bDD`IS$1@^xRU9i4R^!qU z@t}J=7YeoUY2E~{7<}2UO8^E#0}Z0U&OE-Eh&#^*6n=Uh9y3poxo8e!xgy}_=3`Wb zpRSaE<7g8rEMj5}HczWmZp~HyuwS2hMJn=eXm8qrr6-~2T93FlOo#22XxN+s4Q-v_ z@BY21TYxC=I2~aMqPh6d6L(yMETaFiYHuP@ipGKz+M&Nb~hVF8oZ;Tv?hE$A=H`R7CTBNeE zJG1r#3Wb-<&;1#;;{10w4(tOFvm!RHNPSvCTjUWEx4#DMQ6+RVMcb+ZieDXGg71~~ zKrlGuf7hvk-gT*Zq28(k3#G$KqcpfrfsjE#zU7*0n{m(m)Q#x{*#dl20$2!}}hQJT8SPEmf#^B-HT?bJa|6 z-;a#fyaD2?zo^3d5{@9*%RgXowrIMabvAQOPHUvEa#Ge>^feuH3|)?#B4g$ladGvb zo*p*qX_qN@EIXbP@dXW1D45FEfady8#HpRm62l`y`2}_LMjcLt@a%g06S?9a&Q7@2 z@9p~*d5ADA@R#;r^O@!E;xMg2upeOKd7NXQZ$TFIsr)4(NLpO6nyzUXD@fN*M z;!owg7-ToZ%pdK*IPX0Vk4@aq?3iWb)s|bUjaDPL@RVmK9OSi95lp>#QIPzN9N#3E zBzWALvyVK%SE;8{G`2M;R7uvyMB5Qogp=4^%vlRqeuT1;x_H{-FY;&=I0O{UJ}<$o{v-_=SuQ0M`H>%*hW1ucuONVF@%}vUfgF?%toEXIp^Nm(WN~qzZ*u8utr}z89xrI+91e!bLf7;0(vp0?@RbN*7ZH3Q?*yo?oCG zIbtkgE^WMTLo!+81>U8rP-f+Yu#u!dwBQDtPI}@PvMUmv{^!-wfc1z+M6uZrE%Iq0 z_b*U@r_f#~wL|?U2S}%?A9gsq&)#xRwFU#nJ-J&|QtvG02a4Z^Se}VxZ#hTA^=igG zl{b;SftLoVI8-c90{gW67I6G<&phTGp3P>N^Pc`<84NG1G!ettZe&-~Ob9}g_uEzA zqaz9*eTUA_ypvoXb>w?)VYr^e^}!dxaPB2n{=~7Dy@T0O&gk`HH8)ph?{wiOhksJ; zJ$yTi8lJXzXYc;!lni%2n5jeZL?QYz=6j6Va~Nwjn>H;O_d+UhleJMP$gOJMH)f8Z zcgd9zp;2P64pXHUdBvu%m&>2Q*$=n7u-|tR;dGh5%2<4pLK4#99Qqp1@BF~qoLmr@ zuW(?&&LjG!NLv2ayyJJxiKB347G9hDx1#{&G=(MRww7--EFKdu(x1Y_UN>cQV48~G z?f&-W&DQYMC2Sj*aaPVHU%b#uH-cO41?^J}e9|MOEVBDiCJawlHq^D|nsRa8Q+MyL z#FRKZf1^yfW#Yrhl@`5|Om7=fU@H^-HFXDP{4J(C<*i=pN3Ms;eT;G@&w^flXIg7a z-x+e_O}oLyl^|MM39RROGTAw)%Z7^RsCL7Y(O{*|C{ZPJ@v#)MD$Mc^)%&;kz6g9_ z3oN@H+*Fe7tDGFGtg_rzJ*+F1C_fqb2L!_P_H9k1woggPzM{-Met;#b7biF}X5A9; z*_-4gim_lswS&SD??wyMv|J=VmY8%ub7?;NZFrnfI~bF945-i@@(PbNpOC;Zx8`f< zytbTqnSa=Kp5&1e66O+63{VZ$reW~p3)0pY{5Z`w%N}m3B#;AmK|ZH=)e)HUW8fE{ z4r~=%Tdr~OQM~gp+m%rfV>t6;a%0|`?4%~-5hKhfxSgPbKeqTxp{pDy!@KRJ4R*45 zI25;7zJmh~PFDs=d9x<4qv-G{!pxpQ%1dg4L0VVofP@tPudN&MpvRcGUe=3Ox!pOi zw!msZgd0`xix`%;oqm57UTn5nU zTHBy^Di_K4vjZysC93tg)}&;1wTwk|iGZEx2J$>-I=JfTb)4#^*M04wwnBP6@vlfG zD9V3ZJ3D>)uD;T*ToJ>Ad2}JXi3=z^xzZi~zM?VM*l9a}V~wV9oJG1rgu>_Yxe@5T za&=I4nfU;(d?@^Uk5KJx+LIIv`5%4rs}sQl2)eL4T;9t zj6S9CkiJEGgu+BbZ7eZU*Zm4=oNFx^ac{j5-KqYDL`F(4O@V6r0bd#gGc-h zbww&H_lLvMR&;}6THDBoLuFSsWGHfb`ovgO!)blWoKFDBA?l&x;&z#;SIoHC0xL9{o_juRD&R@Ex9{ofL_aK!TIKS-^RCz*81pG+54<4DvBGGKqor z)*n?E5-~yKe-O+p>b~As^0dd(r>13HxU%|P+w~fAf@yWN-_;y&tYP`rVnt+*rWKXa zkB;*6p#Ej`M&VA9NO~Qs$@KR?3ATqz%53LmN5w(p9NEFtQY_iwi`wH1{+v>*n8>PT zByprYoatK(^VTIz8(y|hp_bb1bDj}AsfV52s_{&Cttq4n%Y?9JZ21(9*pefb{i);D zTAyDg>b@I$p1IEc<*w{YrF}aeeLbP?s_}A#nJ%)@m2sD-kR1ofqpvEATDdK#SXb97mmdgNA6SetN=xSZ8ZU({(6Y3kSOqR_ z?Vb_u&)fh~*4TL@-{Ff;;!XD*~YIr`qO zkoPPuq8QtXCHOj4(_9Z4-332L1T3@ro6EI4L%)Z&+&usz{|5Gn6J(~|r|QY?sQ-#^>@uq3 zK|BdPT$rzcmij7hLl>1Iys93ZY>|mJv1+3P3PATWq=O>KwZ~04Yt!H5;%aSB8kC|* zN%Bbn@^Q&;S>k!rt4*?^onT`8 zkC7V5yJbQ0&HK1xp>_&Z3&E<;MaSL|J@t%^Y)1@05$Ig)L;_Yne@{Ra*Uj=D7C>Ih zgt{BoHbYtYtHyfa-Jr#lH(GThKBT{88BvvsGvAC0wDz@XB9S>jCcfb8g#>D+Hw&fNV zZub^;zcAfaZ80)eN?!<+B`@^op&Ltq)Xiu*?xSZ%(?k9Zep|{WHBVZ$RDUZ3oG83= zFyR%|1CI)!$Lsju6?K_iaU&9NZ_H)3#OGh5(c51*VAUyMuYc|sE8PBAPKK==<&9qd zj<}bxe?y#hH5~6h)_QwdIs0t>Fpe!Tzfknz#`J!q{EHUFxzFx$W-AQ|1WR7lK#wU_B2g$`p8KO=_gp2y1r2{7TXm=(YcXfyK1(uo zDI07HG9HcyNC3KDPYsN#n-i0^tja>>FypGrz^`aK>sl*Qa66kFvn#5jbrw&@*(PQ( zwU|xL%ik|I6J+px$uLyQuHpA>eI=Q=lJR_@lJ?%5s@D60%j7Pk3}YYPShFQ6uYY4T zahXqz1!Aa-$ub_i#oDz2(3-gxSB%q^O5UC>=Td@8U2_FA-8-Ht2+3&j_=$7x!O~#ztzZ3&xc*gfLR$<(ZD&wxO;)I4D$|jN(1*hnNTzSW&gKe}f?pPnsS=?`KOf z@k_(Krkit=v@~G0^mbqRcPuuIdP2zQ^aSXqf!c|pm=0i$by%hsfu7%Q!GZIZY|Fq; zF){oJD!KCQzJ*ClB<-t46GLh$aIui?VVWZfCw;?IF3kJ!?}RRAOe{ z=)h*eZ`qZ)=vBws8e_|h$h`KidYcrHA#z@mo4-oD*DVo5pUB5ts=4MDLGQ3>%!T@} zzz0s?LdF!WLKAxN0XaRqJUX?9KflOwooncjDoull%}~_zVWrD&a+Jg_c$saLT6uaM z_($r%9m^k@^uOUnsvp&#h_W#AoQuYA*Vxm0>3N%EYS&K)N?I9dW}a%RiMk6^ckCtl zE?964+n1axJDP{MEd`uv!KcFFXH=}rd0QtT1;631IB3+hDVSPq#?+7o!#ef0qbEPU z*Q(1(no7t8DLV>Evdq?q!ldWJ#Y2|JSDDq9E)OK+@JaK5tDKd=c3+!nzbe6ia1@qo zp=GI7^;|Y@X7fo&*CWz42mFQ9CV8E;s2mCs`$d%HV;mnt*m#XlvaSG zfx~kxeS>O!r;S_xnf)pR0&H{1y74+_Fc`dp=%RF>;A>!wzIAoBW2nGmMlK~_M2VL4 z0|72#e?T}iLbI4ULcmHtysxcu8t)FwM$5GaeYE|QBu1PlIS`Dw0~9BrP8%i9Ot4JE zP$3|;1asnGe78r5@W3S+Nb$ivd5p0T!f24DN{%el3~0=0T6mF?{rrA_T%r_1E z`$?!vD9zS(F-tEehBIKhXQA&$enL03K~teF zZ^c@Y-)=GsNOagOI36&fK6Km@>?v$w#e4cwFu2czj$TT&vZ&T!NVCI>c{e-vohh9a zr-!gQK+cBHaE0AKXh7^ep|qB9$b!N%zSz!%$S+ikrdb;fUfr>t%gc>rO}7PmJI$ge z5-(ObFAkpH3q;eI(@{(QYkK})Pkcoux)$y}p!d`v8Q)}{+!@9u>)n+nfp|z9Kcp#K zRD%!D6r{j3IFb_Xx}jB;0UEoNx?PcCL_J8ZGjKxc-uwucv_v{5N4~u2VwW`g(&s0K2Yb}AL@%VGIPx0FN9NX+t!GZP`YxhW<9;_Zui_DE zRHJsY#gr2s7&s6_uI!U0ehWux1He9gjEw%`l@vg|FV!AOAr%eA=D!H8wp`{< zFxn1$_hpTZ2&*69TICG3F&g8Id$QqBz*iH^VZdRb)N-X2QODDINC>OKy3V7QT!v>f zQkd{0ZwL8GT3*OWr?7`bYK)T8rVUws7qaPO;L#nivbX40vvG)G7>w5vHc+ANcQKkZ zdqf9aj0C-tdd`Zi%Eg4F96wds%Ue|02CqN4I9g1Kky+e&s@NFhy!k2u44vz{E`6vY zla9i->g1lT9tu-;5px~W@!%p$D;rX)@ES`uymDL}sH)%PK%i+0w_d#d_JH72HRcaK zxItA|_s$*FjuOTppC*1ZHhZR{zPX*REs{2yUi4h=C8bC9tc+}cGRE%y<`ANBP=UPR z?dA#Jc)dFOA<-;31DZcWn4Y?TEJGM2e1u?k9QN*rn9d>Jb-|)}1|$HP6#lmZSsIgA z<8*c4 z1Ui+NC?TM@$>ablEapmbs3xm?;KK?z34Iy)ns53%Z}Tjk>eB3P3sM7n(iC})pn;5- zC3PjA)SxRIBN{yhU;APd=7r*Qk_2k=k>a}4q~KtXM!`M3w5=JL@tkj3)=%KUfz&#> zzRxT(dwNer9_v&+%JYi%St;Q&GlqwNxhcq3>MvJcGBth=Z=Vii3Yqr+0(uc=s<1k0NSrHVhie%7#?s|3|a z&Owr*H#q->`xV&)FrhVyTCTYh29D|7YUP~`AD)HA>x&mxkGy^sOWkax$&Rrfu8S?w(_FG%(RNM2< zLTyjl1xaiStrsbCCAQP1(ZBbIBIQxK$`?Ew{7ScauprV7?E4Sfgtqo&ty{1=ajYu| zv@}~e3(UfXG&hU87w!;0##F5`V6_5x@bKn1P%lPc_pvST(OO689r){}E)g2kKDs+IRq7CY~|~xn!$YV`~?auWa>?e22Aj3@=a-AG7+8B zrvyeDP`(1=nkPDjNNh{h*>=;Ih1)<$*t+8TU+QH=-Wl{YI1%dC?x)w*w=ZzDu1$NM zr|PY(l9N3MH;m{^#T%%4jkS*9*WyP#EWbaa%j(>~n}N7!@!{{=-=8cr zFB;40$V5c&v>h5B+*|l-HoaX}`d%k5k!VTTD)dILsWkpG;>%oHo3vU21FtJrk0ftW zs-`92D?!p%KJI7)*1Kzj52nngP)0#S2+sW|eYihrJ~62T#nd~md%#K@ELVz>V}DT1 zu~qbAMJ{atm5OG`x@Kw072s6bu7BNE763LWSmg#8_0nK4q8hZT9#mn7mNcbcFcCZU zMv@_F0iEQm%rLS9$Ri|rfHyM8ip~*`B}8RLzTSJv`P%B|Z0gmkXnBwf&bjwvoBV~6 z!fcaqk6^T|HO5v{ZlQ2cLsWm>9xcV8?Jy#-F`LAGcdWdI3Y<|WJPSEJZU+?kAhVlT zG810>D9*xRjnv~v@aGV|dbPV=Aki_={Sn$r+1yBx6gvE_HR!J@f|%@@!34jC4|`#t zNUq-DUn%yTuWsX64p^j)SOUqf3r#NBjx-Tf6>m!`eR_2yUa!PHNinY2tZt2QPt}1B zla{kCl>UTI>vN9YjQ+(}T=Ku&2=MRqBk@20+X~Yoi0U(lUvYcT`0cl$`Gh=app&bP zLU7CNRcSy?f%GU#IB#eUGQ&I1xceNUN$IUY;)0AW27lkIq}o>)m+ngN6+$9q>eDVQ z`l)y>v}*ZeTXSF>*Mg^lNxqjt6b`HDAnd*>E7Ym*bdT6f&BW7zbB|FGxjQ3zOIZM! z!S}N9!)g111-J4Z;fo?RZP#@F*n^cIJ2_j4__UcZEO}Qg8o8pRs82jsRxqDjCbRU7 z#)>S*(MZ)UCI3L_6(6^gdqd05RhQpS@-O_@p}l+3eW9>Tm+-r5-@MlfOsBxi!fxxk zo@%8w&Efpuyw2l1CbQlE_G#H!=vYtv@W-fzC4H-{MkmL2I5nh)yXjGGcK#(MD!|so+9xPNwKvvsYTM!TU`GNs2}ZuJtD+ zmsJhIm~O4zh+N2Ca8sWbkt7@Vp3(>&F8De#Iw>OT|55doQE_d{)(tf7?$E)VpuyeU zHCS+m;NG}9!QDx45AGHmf;$Aa0Kw(!+;`7;?;Gn!kI|$1&)%!ns+u)x&I>z?Zs!kQ zVt;PIr(Ir2|F80g4lcALy1Az5eJ@0Qq>T_lxq{$NMJV1cG+uDEC4knl<7^ z=^>zeR7}ovRx3Vi&^rO;txt-vTVbN9gitWBUN{1BR87SUebzx78u(!cNWKXfom5#A zbWpNHW~mSu8%iTc6Fzte1~p3gD(>e5ne>CfjN79A>yj!E z3lt8T$A0jlh?D5pMuydO!Ri-_w;Aa<+zN!YZcZV*4#x0)sQ8Tb#&F}@9QVm)bPa}X zyEswG$KX#wP|9~|3Wmfy?NI$nq(Q>X7FXYlDcxHQ{b3MMnWm@?JiQc`fq0w*=aN`r zAhs@*w6i_!;dWZBaw;$Pj`(O^DurZBO;%833O$uLA4|8kA8=cN7Lus%S>_%O00-mQ?kicMm}2>k2Ap^9Nn}kIpG~ez(&U6( zkPt61_$=0^PtCvjT_)O}_#ChmG3uVN0<5)kztFc)kumL&(ra}H4G&B}g&{Yu4m4wl zHzWKRm4t&!ST16Ul2~Rl*oM+;GKPWEqnXd9#*;z{U7+)ofr>&mSmBu9OGrQVK~<`$ z4SSPTzgvtl>dKyLV8m&`!H(wolyuOIEJmcpZJWIpFa^gGV&fPF>?^tbq0d6c)~)`9 zW<2wU8Fu&)dFc~HjwPG=x3DD5B+xU2RHa3<08#j)Nya(U%hFR#K@e*ya#|Hb5OFoH z?qn&~D!%tP7A&{vAlz*r^Tw0w6?r*IwT3{`6mVw6zF!n5XG`Svb{IKBqxF>&3)Yx( zlGc)-69=0Ka>iBM=#sFYt ztY;i6)W8w*=Mvj{S41wpF<5I|m4si?R|7|`Y8oe28Y>WJE$LHE^5fy#ueo5kfZoNC5Z=S+q5 zs`9=;@uR+9@~?Mrv{Ig^dBjkWk2;f60;S~^5VC&dzDF6-L1~Px`4*Y5zrc9)$NDm)vJ>_HxOL=v zV}d{`Ur7`uvk_+!{u0c;RvbtxsEC`OX@*i40dZPQ(66%0wdv?fRDOsL8YXBltTtOH zSBxQlRvmLHUCeuYqaSNvVu{U{OVGvQEjJDc5>CQ1KvwUOnJqLf7g2}2DfWGJ_F`L& zK=@ul_I=F>`Zm*pY7w34L5&47g+$J;se67hBbQol1L;xoAxQD*;B&bkFI#qHa#uJg z%{f_iSF6*Hpw|^54+AN*uX-xL!U+D+D2rV_TiZ2MS!s+KXqxY{GZkGRZHCcll0Y3z z`mc)xSorK1-fmnNKH1t+f7W%Xxh(j3hX+LvqTbJMA|%EM2FJth)HYZPL#-eZ??99$ zOP1Cj%^tBG^v|t*-xNb2Ko+CP*YP>Q(F*mldtZxF2;t73IxNQnWgYp8!WSPu;Ajix zfYG?O3?IF23)LfoF$En&f8KF2#uegIJ}zMNgVrF)jcMf`dQZxlJYdZiVFVqyi{O2vW< zW~aOnoc~^tifrz4lY%C6P|}aTU*>jI#&yA-wXaud%CNUuS{1A0Cu*y)d&yZ!OJ4DQ zAvPdqu*H6>j)o*&gAUQ@Ykt;<;);X;@+YzzroC3aef24`ncRGSk=`^-+-(i@B6D7C zya0uPErdvaJy-u_*xO|mqcrlqjwINIgy?7HL?&xR5KnaSzM*Jw_GO&9%#UbV&^^&M zj>oE18+u_1gVccJP4al782WJL4`j^f;Hpc}Yt{NfU$d{2C3sj7V$b^#-9ASJ;vH$L zOj_t;SKn(cUH#MlnFWH33JXK}k=4Tcnr=g?^}UlA=?fFTIPxCGsV5XW`Q?DyA?&~Y zA(^IzLr!0i2|fJ}7fVeC^>UKzU=k)&Cd5${(UB+uXqLb=H87Qp`d%?XrS_K8kZG|H z*w%hrn7S6TK94u;5ex3SXb_Dkw`?y^(hHBhzEYjNNfPO+V=VhuWU7TL#E4KOmu2p~ zI3EzGPJjF+X0clbUCo5F95Wb*tUmU|x+T2?#2@5$T#oO40?O)? zWhql_dmzV+dNBCw@g&-7j}$Gd9{JC}2@F%xSmgwCXlt|j77;Wh)a7Y2bX?Eag@xMa z8bQ%^%}fNo*czcQ3b?Y;qXr4dysqJlbbnc{DlPfOI;?})yb2mkIQHg<;r$i+Mrk!L zCk*`(M8A-_fDca9EB}Od{Nz(P)!N)|&Tms%t(l%*S|7H*h;Bg$@>za=JLiN7U%cW4 zZ^Q`&N&Fse_Z zxsUT@skzn1zXRdP(i8DfXi4R~XxcN!b2+ zrg#k_5cefZv&6;-a^s7;{zYIJV;GERDwoul6Y||5C+&4H=~R2LB<^cLADg`$6#h93 zQA5EP`xa0uN%~8S73{}g@XzeGt+H>Mo^q!$KTAd{l0ywQGD#N`AKp%1bYskQ-5298 zT+U-#*`)Wfxm?{eJ^t(sEun`6T(>x%gi}MhPhh64z=}i+ap8Br0ZG(U7J)#l39~Jz zcP|(h<-{n}=zijTds*fwjDznSdca;vFh4S1kVq;=rB04e%GjK7Rw0}jjzcv9PB2q+=h z_~~HNup>Ha%`^U}z=PbP>Id+X@I{GLK81^*Lx5X|0QwBnrv#Z6>?Z3<(TF=?Tnntm z35EgvUV( zEsO$Tcqo1i+Z;xm4+yG?@ak>(Vn?7QT)x~zBw0RPk4*~{e&vZ;$I5ao279^3-O!z0KhzYp5lGMt*nM!`Z5?ir1p6s*7Z z1_#-KA;Y9#5A2Df`OI|rSZK%HchMrdb|RH)o#) zZF^z_lSV14 zPe7St;)FC{Q&~T=;9o>F9hp)5E$Xr~4jz9TY_wo}@Ej)R0gW6&#m-@EK5EJAY^gxU zKaQJ0-ZDt!n5^&Rt^%wwKKoqDqGOPw-D0G;ffnJb-CR=|OvYGff z4!o$DJ9Bz@f4Fu&O&59U63aovN*hl(QsHv!mcQYjTC{JgrY-$CL7y}dFve8r)xXJ` zVfkMvl32x~BN06bcnuHRAphlPky;s80C%ew?R(e0=~oRXD0|((?`}oKc!f}oK0h`D z+)j~sD*7L#`CC8T^#fT0o>~HY+SflgjSE-!zFy~T!odsPY6tw$o>P9iQ6^uCd0f}^ zxb%3b-gMh~eHbpPg8HO6%Yf*c60(jrHePy!Y*w7Jx#4<94$L6Rd$0pq5VmUM!f__| zea0qMf4m#5&>-R|&52-E$3W4BuKp3Gl8~WIeA=j7gTjqXq5uf}i3BKcy@>=$hwv5Zk2}E9Pj6s?A0>$@%*_>lzamE z^s2LTg11Mq-=-L^snd%+%+X0fc4*rVAX4f?C&f$7ea5$Cf}J@F=YB&nY`aecYM8up zeZp(LhTF1Yt-3ZeF=B=43iX@vr#^|OkYrgw+2t2T*BNO(Fh0I0T7l216GmEiPkrm7 zSZex)v>dXMe$hAduB6iqso{Tjx)~}7GOBCeZm)~FGT?Ff`g83dT{ym??8PG+FhJQ9X<9F{4*R;w+52&)JshbGbH!O`(ers zD4xX=4^K|oIZkj+N+GM9Kw4u#mS=GZryEb1rQxo!1nXlH0v!*Ov31p;&!G&_e1l7# zOq#=+4c~`13kbSb-nD;CqKHbc=6St8apNL<=MwMgWLecM?JrP_s^;~267W(}#KnOa z0O|8lzd+~-_qkQbrG5}30>V#GevTBbdwI|ml0klim;l>-_>Fk3yH@1MM4?h)=-Ve3=lg@sZ)vzP+>&%s^yudn@!f36&O= zsy8JJOo3qmQ3rKud;0Hsz{OQzn7MJ7vKiFxxh z-n>Og6^rpEX*n0_jq@ZIvNN(%-IVW|$*MrFaMfFbFI(K(bl9T62*|&%5jS{PfQmuM0!|4%G~NN$Fa5 zM|Au*9};?*=zjRHON$@&c2EAcYbKbm4k~CudOH$+DLeW*xYnHY@b@M4lYGc;TG~h# z{wL~AzXfJ8v7G$T1o-d?Rx;iKckAq~GUp&C zdwE?bfP%OxE4bhgKO1STa%F;ykh~y75mF0YPE;8#cie+@&3dR3%x|rWT3&eCP=$V* z$8NLxWBNQs7rQB)UrP1yM=~i_dsj09I*3lPE_OZbVDi_ge#9S`>@cPK=A8zU#Sek> zr_r+BmB+iL&@YAb&7JmHXU7Rap;lJ`3eIlZTkexZszlilPF@+d^fU1EqOHHmrVfOI zm?u~J89PI@_1-(VooJ~<-427%OszG0{jXAyBj#q}k@Gf^FdHeg{nXz9#(&mIA$Laf**zVsS$e<8Ah2Wyk$Mv4S z1^lUjyJSBV^XIo9((!Txpj8KezlV-mrDo-u+`;YR>=)05G1oUmZ<$>F*nVL=d*J@V zdu>rg`a|GWhSbVld=T6)jI-LX@j0+cPybt%acw41fE$E@YRk?1v#N2K1|vKp^*&4E zHi}amvsVlIt4g_I7PZ{gg}Nvx)8(G;!glFPP~hb3>n{q&_v{F$OV;(u)_F?{gLpYk zD0X?DN$l)lxRK7ieDnNr%BqaY1#S29XDQw*X7s|@J3adWX84zukmCq_yfTG=wg7I| z`8Nx~{1;!UB@ls2@8&=zh!bW8nxNw|_0Ny}*w}XX+O%)UTnYbOPV8Kl1Q*MrB(7vX zVNjn3l%FLY)dP-|squ@)AQAJ%)d{g)K8k;-6HfhT=J3hY|Ltj0+34k1n^Mlhb&vc} zJbUOEf>+mb)wLrx)N^IyT~T>CL?Xw#Lj`R3g3qObc- zJJB4Fp;$;T!YRfP`RuWJq&=l$%rEAlDNfZW-fhWBu6tr|L@41C{ZDnmO4v}nZMLgC!A_sT9E!QQkUzx>Ei9DuLUH8B zf5NAjh?XqRyzJL_wm2iSl}H6xle@d#7JTF<7L{H&uW(wqDfs>~($L_=`2CPL|EP3J z0gF=iT|TORo=?~C0auU6kwgjZ&)y}#Xx1*#_)Sf6j!J12YQ07UIVbv|xmM-m5SK{L zuPT0Pw`)8A1)8Fj6mc>*xW}(e(k}_-v`Db~E-X%xGzGiS=y&-aAKZD%P5^+?Ho@;{ zJ!@@gK}+v|Y?I2?BuQ8}`beoIWCul$^A!(vWQ5W}80U@jssEEi|O5^^VTL0s$ezQ7LR>Q!<5nMj{sgdP96VVBL5(p zRNMPH@~1k4=I7YW``DXJNDL}}QzNB-(;_ndo`--2DQjML{Dp<<{X9zdAY+NYM}&6m zoD3}2r51h0SfBe?fhrHfZ};T!e~iPsP1z@(Ti$LrXWdSt6QBPc%BGb?7Y{F<)}VU0 zSVl@`bc+ejC!~EeKta7%*4g`|EZGs)n>DDuUfu9Fo7Jlobt(6TWOSF+z&?SJDg$gB zP1W(5Fq=jXu4Z-Y*6RE}W)3U|mTD8e4hc%ct6w_A zEX2SPc4gelU}*4Jl8+G=ra{J8(V*;x>oJ@Y4{OfQ6R$$9=t zn>e<6G>e#^7oz#=ldG17&=K)%AmB6Legs{cG#fh7~*htGxhc$ zyxCw$@7bsAP>e*l(ZTGL4G(W z;a+s{%I%toRyeRMeE?l!4^ zjZ)}Q%{pgP{CcB$$RHvSC|{vc<>5js0{`;G%wF@Z)o?1|=(|1_`J)G^HzTLV}&Kfg_7(Q>pt=(wZl!h z(I%VO_78S6o;*EayPepTdW!WASo6{4%qPl$2Y&2z=1X2^b|~X;aV++VGGZ3*Z<8&} zFUz*gLA9Bwh|Ee<^fY}~J?h)BoaJxvr|$H>efv{5-EzC50f4sghMH*ZMttxmb5ev{Kgg=!xa;5 zI-d_FLAxWjc5h#_MLcuW#y_tCP#~^x*8x(e}}he$$g|yUfR>1-ju8seq4rIQ>tjtgSo-aH#T|C?5)C{6bt|2nZb8ty%+ z>pQ+%+5&C6k^>|kv7P3v>>xp&YgMT3acxw?6Id4jvZv=|j z`GS0|z4WS?iU=UBjHd9p0$_dwy1jtFf+}Wue>=gyWn%~G{^r=+QzzZs2ASQp-`gKD@ph#g&qLUb9O}{R*2xa=w zgRPaAZ8kgX%<>?~yjoBRqh|M)0XD3c-Lk|=~&dE=w{ASd4&hhJk(5Gsmm{1CxQ#X_pc#+45Q#+wRV zG-%T2u3#~`DJL}t6{ERFnPk7im=iSJ(ATr0D_Y~gVS9#*v!$Xb((Hm(i6R$KNg@RD zWt5xmT+bc)@eU47lOq&+zUxUbgWF28d9bKNFNAkqxptF@yse@ZTMWBal41E7p$l{$ zPu3`#P2R1)bGbCHM>r^(+?~&n`=H&OS1roxZL-~P1mE(ScN6LI_O=w@VRU_mZUh7E z{&t%8(r^>X>Ko`~;#4CzW%yl7*E4FROL?^nd4BZ~|82*p_^*7-QNVNjTU`z_kImHY zw_f3U_&KBJ=zzr8kN8qq=)e4EMd&Vh&;(EXY4L8JRs)_K%OGL$s{E0a(9AuWFd^@0 z?O@jEfiZx(2Hu15fG6M}zNz#`Y58^1k-xMyr`?w>ujE++=|qKNDwcX&9(Kww5;Z;b zqSVF$8atu#b(!qC!5-n(>Wv|$6y#;59I{LD~oZM1ve z+Q_Z>D_VQnnY0{1UdnBxcL*lQ!`Qcqw_p$Thm0vSyK~B)%WD~xf&VTjE)kJAWSt6g z19C=GCh-7|quG)hh?(Ygx(#g8xNS`*US8gv$X|4Z{;!PYo_N_qlhIStjgSA-g_o87 z>;D9pQ#Pkcrw9Gd7RR#Vm%Dr%U<{ub?Y4tKIqCy%H-sFq>-lJ8Uq@<}s%)hM7+ zamok>vQg^39>UM-e+1Mx3KOk#I*=ieo zBDuSVwT1iLrC<5tadOUDHc@qQbi3kH!SMjM>_0EM!>cs$Zgjw@CiL8^t%Qiz+A2 z(|*kMqHkta$crysd)ptoTPjn+#}9}=>3g^ty%tV9k|HlVME~uvEdBb@{dPCi1aHxp z(P_!O9!{-Yam_$lw(MDR)$)@oB_nKDu~^cL`CbSoP<=daA*u0vCpw{n%okH{$PNa+ z{fSwG7E5&kFME6HTS{S2@NCp=L}KO(fes;?eRQ5Lo1gcoZo1DC1kcvU5R|Xgei$N- z7c@ISBaZpz6D^W!OAK~D<77k450};HoiZ?>%@4DmkfLo8`oo^#7czB8(pZ7&8TxRJ zMtA|Yz=W~1ASr8sQw;;)+k}m!qh&7=vNI7KJAF28g&GkE}=1Np3BU zRTdlM4JPI8J*ZNbujp*-MU>JSk~Gvng;5BGD)fE%vz;q_8e6Bm zl5wL;tk;};)f7)&r?h|mPs#rGvpi6`6JM8=+zXXSjcRR$6e1};EN!^03-uQwpw)*7 zGP^5zqOwID7W)lN5(*2D4BQ1#WI1lgP~U{j`YiA~AVCRIqz0#|_h5juy9s-ALA zm+(4=?P6M=VqL^ksxVZjvM`KfWhBI4fW-?`TcCrUQB^hg_W%(v?@=;E(KL;791s)< z^Xq#QAQbJBQQQ~*MGFk*o%w#0;a0q7GA_&#Fi~J`QJieMY?b5*AyVPbc_Ux5yqT`y zO9M~~kGy@m?R?a`_cF%iLtfbPb;C{qto1)UMpRy^e&GUo{T~6-YvZD#jmil*wGq1x z!n&LJ{)RQlLOPvEZPrL&d-kg7RO2j>wU4ND2u8Z`e7>+fTXW!GXbaNUeLJ^u@yvW? z7`sNLZ4222D=txP3SDfTfHE&`Sm+m4Aj-PG>pii#djY4#tt?1G#VPD}1{VRlZ?trl zAN+EJ+hMSP`Q*E^LxATR$jNxDPLTu!M@dDx_B1ha*&v!p%oa0KlxLAoF}6?NjL$(W z`I3P!1aQ0dZGp6-_5Qo7A0#Upy7HKn2Zso^zP!Q7EHMcSI9cWAKVKLU-NV0akr)3+ zW4$iB6aAXhn7vqz&W$Bcc#4KY^3r_0?jr)1f|%P@J+l3iWaGfv8re>$ird;o1=VFobD;mm%t!yl_w;2k|gHW&A z$8A6T78!I)ploSkJ*676Z#{+E>(NCF7+&dXTgAQohC(>V1e4#X<7joaLg+Tw@GM~0 zZp>qDJx9z$S)Mk26d`>h7}7m6`2AWH-#|oru3-P7iL3knM~9jJf?iez@oQQC+yvOA zfsaC50B1UlZ#*xsBfu&{uneVc@`E-s(gGjNWF6h68LqN>fg98WNFDn9KqR>?I4Il! z-7&Fy=Xv^pf@dkT9{WNHbx8-I91#hLfWTWYgwSq|kCAIRh)W3>(nPU9Mao2&KjOv| zxOqZO;%Pb9?U?PL8FFYYLMuU{Rp#~M1B8#fUt6ZlQQ??&6k|0$`Q9B&^?>*)1dwf)I5Wg zq-}OKY-3^aV6o69Moxx>a8Dq2F{WRw!InzCim_AjZ87ODYo%|#c{JCe(@s=E53lDx zdbQnx`68xMuYBzjFu#Y+HAwpK(U%A|ojvRiY$*?wCvLafH{}zpQ^l5OyA{zC0Ji4` z)XeazcWZO()cEUMh^H?aA~2V}T<_nA0O%n|E(uhw5#d)20s9Xw z*_jD~<2^XmTHA?OCvwVjx}jTDKmd0&f+3>sf*Dq7df0-tD<9{rJ+#kAPi>?uSZMX9 zyO}=+*aofLBlwQxy0j_uC0@Y0@C?2QQLx+Pgid_(F&K5fPt(r$NFLeF(o*?u#=#0) z&FmB>8??}uNVx$~Cr zWUKty@!#II$U;x_f(RUfQRC3{!#`bXAvL1+Hr(|$fRm_e<@1{WJ#)!{_xW0i8qSK% z>NBv<9P*PgrbNuZQ{V*P4T%J&33EoAc3{#4Z<_Hab9y<^B4%YD7xhq-;tZiI@X4DF2}AT7bYi$mvX2&`?rR+zeLaI>}P(e0f9FcR9Dp|5CX<8Ny& zufrDBA)oM8??!Cj13r|<35u#^_a=*@ik+Ck{j4M`QR}hrl7SI|u|PFE5b6$%69N%y z%1tOwO(hx(3;Kf*T07f)dDquI!rZsPP!m2Wj~BxVB&j(ublx)O3PU44e%m@<7#Nu2 zE?w&4g7>@lv!Irz=U<_xjM~#Hl{_wLb4&kBLKqYjAQ~=pCPEr%aevnF=4Q-CBRas{ zedqkSZ3>Ps*^eCq7U>1MR^PX{%=3J`Wq7o5&?@y89&d#DYwQ-_gko~{{kpuRTBHLW z;{c^yQYa5p+-5)KkFMmh5sD7N)eFau>u?ByZ@}T~yf=;M*bPIU@E78v$FUa5A}5cx ztGj>BmT)eBtp(qoqm+djbO6WeX;?xrX-05WXYvY}!yaq^@p231A#9Q40}xPP!1Y7X zsaA13ou;yIbR|1exyp^Z8k@%)^*EgvUU>37D+}fpMOC?rX*7rz#&^6e&l-sYZJ!@X z>|mJQ4i?6AMX?^Yu0n2q-kPR2z07)-lRIQ@< zZuK!qiJd$|F~xo+g_M9yg@(r{O}u@kNo0zMmcbD#LrUrHi(osk1_ZZX*M)DmU_F5M zyozk}XZY=6gtE~~nGUoCE5u7>r^uN8{CBu!NK`Xnf^guTO#nf%@iy{U@fsOxMlu?` z4b_fJol+6VT(LA6;4nj@M?yOxzQYBhQspFq3lQbyHQoG|iN9}D4mKe^}4gYa+QD%N#$ILU4nT%fu zm#B*P(r|!>{R3uf7dO#_!{;SyI-&EQ0PHAkK>2J!% zss$4iVuA4(oqd#xs4mKC640 z4YT*50Pwhe+TWTrM`FC#-P>%xR5gXO*A^ z7`>x&%suTT+&?1}=}Ovah}+r_3V6!?)284!9oQbcKb-*UU@g;={ z*-(Hh(){2s;QfxBdP)p`GQIx)roSYpsC&8(Rv*LHqW_6j?DD|O6+byI^kWY!!S+KO z-rSYAJSXkxRXj%9pb;!u?Iadidmeuf)p)B7{0jdE@6KEiwX2Zo1dnfeI1-$%8*Fhb ztGzHtzXTx3?(teGcecqSQ#~h5cn?KDcX(0fMt(uNS%qtr(|dV!#>49a$5jq0*2UJ` zym+4qRXOEcBY*}Pw2Z>WwVCx!2y6`_D}uvrS1H&huUC*CicepN} z{5LP;yZ-Z*Aa4f&kIXHSZ#5{`3{B6G)kXoPPcRlCgk8}-n%l5oqTQ8`eFNnZSs&BK z)1)mDRRm9v@3a3Vv`jW!h;5Q69rXvNk2bZNIPT`;#B$(Th}0a4pMlAFd-TinZn|zg za@kUiB(Y$H^!kHx^(yS2ZCV+KE)KJr;kE#cLi7WFHCik@7?SuuMUI!1i&K>B zrDJjFM7XDhU1EldfrELJfbdm6gIu8FD8=gU*qBi`l)$b$5&U%st*E*5qltO2MUk6I&7_noMW9r4MK_hrcaw6qHs1W??QFI=At&)lC`!%NW@fv5OvgX$+bB4pp;QxSdb~pajH~aKMz8H6F+eXiwV8 z;C}j3EA0`zmERmboYRNKMPM1_<&*J8BKf;Vj*GD$$3si{-J^Bv3ysyLofHz3KzZc2 z^Jo)b^$Q(7MqchYc^Y<S<^n2T;mdBH%Lz zyd*VQbVj1CP?7FivJn|@sys~KGXa>OsDqYmqvpO|3XK9xypi>)+t>Kh z%0<6NiJzmgJEskeRK|>px>`>N+2YY0iYqIN)X7g2)Vn#jY7hDtKn00b=*qKx4NgR9 z3zqoG#sS|8M;YAfSC)UCT|QD+4n=6q3MCeHaGoD_KcOd^ED$AX!VN@(<#cmDrw;P9 zkVn8mqS3Q;0$?3?ter%Jw|tKt)_I%W)j|}i%`Ipg@PliNaQI`+O_aOQ#=``#=9`N5Yj%>%xEG0IkdG-efhUY%_c#` zQL}>P{sM6N$;`3G9gOw*UdjqX$NAj1Q9oNS*=9vq?Fd_d3!S=M)ML_;Z+2w~!C?PU zj0TDJef_m}$2jPtd-{gmxpj#X#*W{)_rUU!;;msM>rM1o}6aOYq!>hS=i z&sQ36aU!A|FumgBV_5T*A8eh>gf6J4B9mtp)qIFZspLUxo!H*~U*q;R>rM#=zQd)=S8^J(PV%F zyvwgpBcDthI`Qxh<6~C_3os~{4;+pub8vVBi*a!ezm2x?V~~)<64FWog8ku*J>LP| z?N&RN&c_sO<%qFiIt!LdA^;1-hgT9#cmjYU7DtpRNqnKr-xJ5_QY?_lrP4;BHH|dz_>>7uhZ6sm45QxZgHVUZ`5e@Iz zqx3ss6@Fs|4|KFaW1ePSrJ_VaEgdYp8|68(eJ)q8w6(Guk2kqe;;8oR#nC5V58fV) zIv{h_Su(*%?CqV>py71vm5xj90%dNeXtV_z0+z#P|G++LlB6KN1?j?yx&dxHCvT*D zy{y{O$pSSGTUPwq8TVVV8|^8zKAb_9N62KzC==OLGXg8p#e>LCG^aSs71@U!ud*7r z7o1i;Z9)u47Eg@j?Fn#XHc=wj=KNFbQTNAn_fNw(^EzsJWNOjchv2w}tR6|m!-6Yc z%K2q{>hZ=ug>PDkO3E48tR$(;gF0!rt^4gyTPAsFmp2xr@;*j_GR{DfI_yXyQYT7T zU#w8~hE+o@O5{qP%h&11km$wg$+qdLE2ca$6%`e1cD!!m)PodDO7RMGGgPrLLAOhY z__82ZU@BSr>jB#TQesaF0x6*|&Sz>m=>N<8gX}v`+n(`vlAu_+O>}jndiZEf_87c! zSiVT6v$&ifvln&Mp4g(i~x0}3V|LDPhLMy%R8HW6wW}kv88+bv=$Gm z1J6vJ7eJWD^@-s;*>#`k4gu{0=|^%=LO^iV5!~G)Y4zQYd33>O(=+GUVYa&$0Q}R@ z%H=~h4_D$Nqb=Cm?ELF40E)a(<8IV2R8OO;x^T^Cv%Oa|$H!t9x0NP(3`N55$}3h> z^>OPoSUD&}5v_^Fq?qZ_lk?tgXv=WtyELdEBZR~F+*V-f+D!J`Z=k5EHLnR#-iAny z_qf7@2z6`*w!tTnOgF>;nH1Grt%efb{Zh;!QI=rpn#@mt>)K}JbWQngVKaQT3DN?^tO9^DfB1ti#<_Rm+B)(bLLebN2!I|J+QbwjxfEr$Q%iT3{vA zhG)Pnnj%6eqws^pd~J33ZLPa1RJmnoE@+*|#W>B&I*PY4va0*n1+a~vbj~==!W%_j zU+#<}#~t9Z?*G9)L6Aqf)FjYg!%Vp0FlUleS|6lr@k<#Rm|K8$@2YacA+6N-$-!Z+ z>x>%;nivqmb>z#ao($FkuB)hf&jQFr#a`vd%V1Y4H9c*;xtUE@`8*hMJraeC^2wPe zxvCW~g{4uH*?GHzN0+GmmFo5`<|%e9SUmDNCE&1oXQFJ)r$0@%Jo*nvUfY~Z0x-@T z1P<+jtCdy5RmEU>=l;)qJgf<0>U|S;a{0OYf2(I964d!sz&mgfXDWGp$}F|tB@}2I z>qaQ#xt<4~XH6RbD0xLDgaSjGs;CgD8UQbOBcwK3V%LSY8fz!@w&hkAqcNUFd7!5` zu`$5!ZO+f&Xkn;;U<}aeM`heid8mF~H()J{h#7IzqB~RO!qOAL3#A)FlP^i$P3xdE zhB}-0g?+i?Vyk0y60=k0N%gfIiB}$9o(0ZFc%Av>yQ>=w8#U~N_W0GD7%29q;?6aC zT!4uts>u6*P5E)TMx%9;{rnySWO(9N@pF4{z$>Fw(XD4WPo7kzEL}?mgiVMzx+%}W zgANOGmxL)om=VGwQ+8?LaCJa&%yH({BeYs+en?M|JRRZN*1Z5@WoFuaJj8goHl2l2 z7zg!NZn5;D7QIo(-b+o>i?81$`tL z5u=aS9-6_$Int%1&z5%wPhadWdpsMTEPeI zqS-8gcQdrR{BGFW)i;F0^Ram2x>z@=kze%fDGmy=F?oMgLA(KuTqb9KBxx-O)zr37 z!Jhrq2b`$*IAh*5FLXG=S|LSiIRkZ5>dOAf-$CTS4_{wP-jtNTxj(xK*5qs(t*0zd zr3MSZ%|SswoSu84@OC0A2Kx)bhd3tK0BojUdSAza8rbESFO?*Kb}mx}LvODOzxa^_ zA>+fV_H-G0JF1ijT}(5&xX#|I$;}UrWsUcU)p_(Ky8nCS#udQjPDVSSz-P8+|4Rk9 zq~O9J^vtfcFfp9G__)_SVtC4v266jssOa*#?%nx#FlMOxiHFCA1i@lVa$ST3@0|oy zIOPzNnD$V+XftWq>UEI}IEYeWY%WpU1j3Ddi>0#`os1Q|)#`)#w0GCV1$29rsTt*o zh653jG68W*!Ut8=Tdcz!yzP~#L?VjhjHQls+%OisUC+?pu1H4lHlabdG3^q9lpHrg z&5PG{(o>GV71j>ATIUKjFoumJ()i$fNZEmj0E9nOX9;>L@#CTxy1BF`7tU{ISQR~$ zymVFNA_ZIdjfL;H?zl4|={-AdWQ5jUt4qnAnh-~{w_O`)Orq0p3OR(ZpCWF|j;)a4 zi&Dzu8v2gzL+%vJ#IAJYc=g^>A@k#wm*_siT9Pc|VNXEG@FS)zTcn*Dntf}>N-6wp zz9@{Weo#Q!nVb5dTI#ItXH}MUuKmAHTPY51>>Ah&#SXiE2(PUc7@Gymmb%@4htdQX zVXVx8Zx=&FpdT#D2%sch(4AHJBHgd)p1p=50VNg`PvL_0-T|*|LKoaW9Cdw?vucg> zG{6@;dGjq95Vuk|{u9^5L6&BV!gPT_vf0@ z$aKJ)5L(s#D?c z{IRk-Xm!i^49V@BEY31`TbXeQt2dI>V$@nLtQ+84R(FHr!~-9qV6u0E|*7k);6`U61pEWF?zBxUG}P z*LWf1W+a4-&3h2@_Dp-zqY@l~^w{WsOHNuzm~qix!$!(~?z)g=5Oh3WycrzD`MuMd z&UmDOO9uassjCcXbKBYp!QI`xxJz({;_gmyE$+dJTe0H7iWGPE0&S5X#hv0_tU#e3 z=icv}duIKN%p^1KUTZ(=kuE|&-jW*vwaMHSrFQcC$|n@+xD)wPO?wHDL%`}K;>lW1 zK1&j35pzqyR$NPfdZ7}T&GXQHs>*!sfOz3a>nsWH72u%R{2ce7MTN2GCS{>vKWniS zK1GNYv{1{{ekcNiVl|SZNe<`*nU(jPS2yN&EJ3N35a0>O8lBwXTvGLsp+}{RN;BdI8&68sVzp6PTMs~;sIo$D`v$WXJc~c!=weip4l-RF) z^?#n37oa%mFQAx>L;K9;Z=l#?RuU2cKF0~mDxt-B!|vXyxN){d_mFX+e~fcBjz|v7 z?R~M<_MpY*_yHof&b?VIuvJ;n{2WdSS`$_8!54bH4VFB|Z+_X^??75?a9*!5=Q{!_ zW~!3x^?+Qh$IRkWlc9<(M6fNrd8+Gm{`d(KW z|3uP+q|h^nMQRvli=zjZ*1YDdSa!QP{&F`zX9q8|Wl}%o6(y4i(eC^273hr9R|_o= zP7&LMrxkrVy5@JfM@ zs-GG9+TQn1I#yGNALQM0TTrl+QJEK&?eDW2w50^hdV;7{C|8yw8%Mt&wpI+-E>GG% zN!=8}6OZCBE49p`h4Ce24>O8*U($XA`S`i$tF`MCKb+yGgPE6vxPWr7eu3 z@4YB;WglQssT3ljbz#DYl)_!gm97@Ei2a*zk9BYJTypsBUyRUHkhF$HL*vkg1U!5A zb4JT7sRST!FJw7#oP@m*?-3u3FA=98^An_F*4Iod!4*UyhyZs%@2av?yN>i@Dv0m; zwy#PDdzH|Me#GVHB4WH*H4!20v(le)mrQWr`ZJN~h!AXm9i5387= z^d?A%2qYJz&i)HUgHWd=4I*MYgYy!zWy_42p2m`@dQ@haurisO241Atd7w=FsTE;H z6YoxHx7gm|=c?JI5WP%6`-reGxf8kaYJRm^0kBZ}0GUa8=+ZK1w~MX@Vd|}p&IG(- z&(9YLQGZdA9Vm%$Qa@7yb|%*fe>9Q6J>h(3o~krN)E-jV?pYy$6`-P{rXRVUh$4Ki za5;wZ1$xG}mI`OIdRrb1TQv9hRD2^tSHE*ZuiR$-iiV*0Y3S+s*ThZ5kMUv4?wu*XZ_$AOYV>7; zvh78Frw2p`EDo`#Idy&#JvmS?5b`O&e&puCY+!Y4y1e%^_#h^fgeZD!`I5G-NL4lL>6zg9Yz*5-Xz;xcL zpz$6sE;pb(MMP2%%W!S}{MIo|8R1gO5zjXpIGF15^B>B*$MnlOH2GV`*QdWJze25~ zFo}m0&p$GhN?~~Gr0fXPmIxQR^@_<+58Jqy2t3Y%g{=9o`i+;nybiXMiON;idSnTU zyf9g!$~#Rsaxd)E_NbB{v9eW~qb_^&Ny%_=AF(sGk0W1;C2%D#3zTpd!Wxp^F~}Y0 zjs#eL!XVZwSD#AstyApqPJEOhg?SgBPHh{cy}hCVl2^wL=*O+;M9wB$a;Rj5xv zo)s{fq+eEN6zicGBJ$nz%+<=t&GO5RNqlxEWTPkax!^yoyS@-HF3Vgg%DZo=XxmNQ z8!H7J@(moN{yCuGQMTF8Ea;W);^ZN|lr@|Q563ts_FChLtHoL5NFSUe?_&xxw7w+X z@I=dAoQer2#^;m;=t`}Icrea2rR>|sitI4uQ*pUK7hfOCzPhujJYMvLy2I2;11nSf zs?{*uhU#Zvw2SumhTT|7HF6$Up+<@qPaVtQ*2&8~rz4o8r*;EG&!Bt-+IvRm{}$mK zXtKge0|MbO8|(rjP4R*f~ShH8R4Be{!$5| zA_)L6sDmg(XJ&@T08H=aUJD7%oRI4%LzweExn8VQ_cIan&*TUcGt!X6M%Chzzlz!y zuB0XYT82Y?eWRJ;+c7eK--SZWCRUNu=rP-TOtT+9%2$6 z6lVwl0Zn)xrQDNt;FnsZ6nOVkq7e+(Iv0dre#1k=WjCX^+qZ+I?V!2s_$=l^!?>0G zrFH))EI7ei#Q^TLcN7miZ;X+~=tm8(z9bAGKE4(PKjBa1TO9CBjYbjDM}3+X4c%u7|AvFFi|5olUZ>HI?B@=ZIzd`YlZ$Gm zv7Ff8(btTz?s!1E-6{B1D)!XGQUpot&(GIY061mPSHk*2gqaUbrPMVDtd+nI&@J?; zki<{*pX5ES#q+tXvE4Z!ynq4ZMR1@ifbYz6>}*1e=Nh&D3nIYe6UI!2qQ?q@t*_HM z8g3F>3d%#z@V$PKk=yiwc76@tsLA?U6PZdwG?lT*0nv@FU=dXds=7u21NaX*&UXT% zue*A`tR@nuJq_svWRot`Y>^g2ldMj@g_Hog`5yveThBByzqV=d~6t`ef;W~4= zTrE4RftKJ&4oesiic2H*H{aNn-;APtMZ{13B=HPGK{OwyOi0&R_Zjs)T@QZrT~K54 zi>(h_z5nOz`7+%fk^TH5;Z-vIKYeR+XaQoeJSLpf^hXgjDJiDCH-!Crxw`=y-lYy=^dhQeH#6nLg6fPJF&JACF}VFoqFAN;j& z*se&oArjyIUqRQincsC!>5gonB4du=%*c&x7Q)RXS7d z=`kKC3X!6HteLfTDY(*Jr3(By87P;vtLQcEA#d*ChIyu*?_hh3(ugvpiVBcs$|;_Q zu3%Rx)$|b=Mmn#2T)s9bdCc=&sp-h1lN86iJAWViSy=zQzi+=M&3Ais=*(mO5M`F! zK}Q)W-X>pHV}xrBtI$!ZDV09FJd$Ao!R9HncjpsWw1gY_;3z2qhC{t`(uZp2OtbSK zXSCd&dUf6}hji_q{=K6ZH3998nnm1O^6XvXLMl2v#O!ZsDoqSLbMJSvZEQp~x}~V8 zNuG1lD$Pt)mB1QN{-y$m$29UaQV{M4#4?7pg#xR|x%q08x4eNGfSLjXlgKhjN6lj@ z@mRi!%Y855utY5vZ#b^C;NP+!>J|k(@v9%CkWE%6GKX-|cdFur;iN5}Z%5{Aj^6hy zHq6s*ppDq-+2Z9MdinC!fJd8pFp!OV9vnL()_$`ev9G)MHdxmu6K6fy^UtFYJC+JI zOqny~dKf+CP|*@&P*0P_P%@!~wLtmxOUe62_sJHGB(z|dBt`sA>GkRq2~g@jB|N`jv}%eZ?F0U&X}JyZrduB4Q6R1 zyV6}BDVM2P?noxy0hr|jU~k-!Y5iz0m@(hEcYhGBu!bx%^H08;V*qgh-j@qyt)t~B zx7O{@kkHiT?$!@Xlpid6iplPiU}j<027?CxTY<8RckQk6oyIZ>l1}6}8hnFmr2gQB zkAA1@BIj2~STCc!2V@0tpBxYYakA+sTX)RiK=j7&2Xy?o7T+q0tCl%ekdj%SIEt`M z$GYq*;Nmr1BF+W|5u@(Mpi3574)CAt#-T@Pl~eWiop%kdY-kFrH6eEiAsSDQ)Kd5c zeV=BgC)O!B5ved2Dp2#~!=qyAAWYz4HnHoFXBA=~Dzc65Q`!=@Nr$UWPJP9Lw9x9x zbf~z1fNW5Gj8%Br+e^CtGWtic4KO%guwGvhd_#1fG|DXun8pDJ z**_PBMwgR2@3c!pGCQ|pty#iM`p0LMQ;9gB6;B{4CdHT&cMN(nd+p>4>Yu=4g3dYn zw>e7gYyXBcRY6k+ha#>+6HgQWYz+OlNh?gp8ljl5IJxswLL%6l?yJf&t&OsesA&70 z!E}!Ia;jho5FmPrjm}PdAFXr7&IOw(94(}z#rjhHR-Xo9;Z@&X6b>3ZzL+bvj`qaY zBKhoHD)ty^P#l3g`d$+Tltz_Zwv(cKOdOR`&^hIwX`nZ_W7{Dq-$-)vsu{BvsVvSc zL+MFALqM5ALrkWDvxSTMWFpABJ9+N)>l7^Bf9L`UDCbZpJdL_z^2)L8@IH^2Xa)X& z?&AJJdp#}Hn#Wh#B3W>k5bc-!+KKGcT}WQ}H{Ny+Ur=fyGteGG%mH5j9jdMY3qdA) zYrd3e7$s8rrH6WqD7{>W4TWlRA)>GxaElzLq3-hFsJAtsa3ZvIKsOqYtL}N;CR`TW zuAX@jZb)*JwvllO7z}HhWRngXWaCr=nLq!`nq|lv;WX-f2^H@>(B8Xx^TOLE=f;rT zTeFkMI>G`(eu#EtzIHlUMHOk=G+q88jjHjAt#Gc^3bP8~rk={t@kV}r1D7OjmeYEc zdkQRPsXcdh&Km}_X9ua&qyVE;N%%^}9ke`H5EAI-?>J77vLocuVC1j3%eH>_Rq__< zl>Qb#3q`z*f1~CZ+=L+`eN2<$9v)n(W8N1i!alPv2NA5)S^&%n04A$HIRnxkPZ>;a z4R^~w8b;eF+}8I9&d<;6c0_q)H7GGvc^7AR6yEADbV4FQl4|e5QE%VHADj~cV;i%o zL90EnJ;9VBA&AsykW+cO%Jm%P=9;G=SP3}UYqSzHD~*08twFg zRdyE+j~6D_bB^9DU)H~Nj_nRFRzahual6ld3k_d9f+ zMdA+)=$k%J&J|h5P6(mqlROHcj*!M?r?W^S^@)nAvjTWix9oMAAxr3%y+ZH_gz8d5 z!%E}LTHVM~#X$oY04NOPk^$$h{s}}by;Z^WU`TO1w@3t8>Dnm(SCqT2M)E3^j{pI> z2b)TNPyn`mFj&}4sVaH&lbek3n~y7|wGkwcCh+b^O5h2ng>7?J3lc)ZErF!ii(@*{$a^_=0+li` zbX?y&7yh#hy1rd;leoM3f%jiJ)=3%gv}F56P%C)PxvDON3vi&8pVS#fV3FDKT-v>0 zE11i6A_kiHu;8@E^M}`u)&3S^&+0i#m9}51m5fU-&**jHf*DyJ&twp~g`JCNHgg=}MK*O7{%y>rE)7OiOMgQTOXCsCHv*VE{AVGWy^O+`UIp0ZB5l&Ipbi#5;G_h_|JA>hEV945V7c?`?A=K+@%^uJX*|Ou*JEs*{GeRy2EUjMDhy%G#w3z*x$Q zhf#3i!^H8Y<}co4wuE~6>(Q8*Pm|#%mDaWD{?F1Z_u?||i#+s#RYJogRX=`I#+=)J zkJvaIO6-Rf8B}F`83c=Y(V2-GY9Q4IL%RB zDzM*kV5LFLsqhZ#OtN^ld=hzniLer@z!Na8yyU<^@Z%`AIB|w5z85=Jh4u)t6QofK z39(rohg;Nfk1LFwu2=s8b@L>K`7#1fG<~md4o}$QSkcRs#x*&{j;_%AwO9#pSWkYo_lJO>kr0a8Eq$Pa z2%y=?BqFOuU-;wd?sE1tBjC2ZdWg31@g2Zw!h4;N)0L=v)|BJV>!VB|_{VulM^M!k zHhpd#Cg&`N5V||(8P<6bvCqn`yZ;MnZQ3|W!fJkv+Z7d}8v8AUlm1cQew|mH##lY`le?X5TGdCJU(BT4apQWNN zYpg#0m5K$-f-_7BwA#$Cu#E}O4L2a5Hrl!z^8Rd}6|s(XlB=|L#EW+2@QFX)j7DbK zf*F)2Ps{KN0npI|NNX}Cb8z+GUXxQ-buNY?ea_P$Ga~6K8zOhfmpYB$cQG7sTN^}p z=$H%&Mmw5A+-FkYRYZfmP03YwOTR*~P7%&DB_-Dxmd|#2JX&j}8h`MbtPE(sxG89) z=5$c4d=I$M$j(rbw~q>meV{o=avHs~gu<5E0~X1ofM_toRAB=EV7YH>ym_+O37MDo ze67fq#s_gJ=KJYNWzZk7qsBh+7CP1uO#t&`_hsyy8&<6{UXx;qI}=Wr?d-U}D~d|H zQYOt+-Pyd({{tC+NdnwO`7We^gBa+gy8eB>UzTA5EuNlHmJJKNCBa~kgxu-Y-~UBD z{_|!VJ}90kbz+onk0^Ykmm)bR748*nHZZTM3&w>~fGo{@Coe!h8Id!#J!Zm-2g`UC zl5Th5{z^{HYy55OGzR;2Rfq<$pZY26r;aw-ABRcCm za?nkw=`C@$T+OS=DotgZ{WUnHvI%ayPwup1Qh%;2ctukd7FW^*#`I_K72Ux*lI&D+ z7pjI0c%OwH%6TU!O?ju_1GEtU3!4Gr?&G>Wft3rrs9Xzsgyu-BA45`;_#`_3b+_NU z&Um6ij$KQVpl5CEqgEmdNt_Yr-KlLVS=pS0aA8uuQt-F?KU?b>*O{kPi zBT=p#D?s{{4AL5D%Nvov_$A=#;Vqlw=PJe_!O5<>=dLzANWNATi}u8q=I>NOG!sFK zfPQC`Vp?lZmMA=r>Z|nKioICC|#7Ct%^2F&$p5kY`e2bH}+T zRW!nr0|tiO7bEFsgbJy$!t8x2Zr)Tbv|&`TQrrhTU_EDMvi?p~4wafE{SlC5(TF@bM4! zQXGb}rwi4a2+wMZf@b1BvK=XAhI!GZeOax@&@{{z2YKqzn&}q-_b%mWP3nLzm52+D zh4c3*4epgZTD6Qq$r3ET!X}PDk^FYC(7;CubA}h-sbbt7v8z zgY~t>s9xV6@qU^X7WKk+0oNu+p?4w<&v=EU&zsJ$#GF_5d(caRhToUX%ub|fR<{hT zf#=9VNXp21*iXriF_+22GNtJlq&nxoCMDA;^KDBzl zhJRvDLBW)hH{7l`bs_Z@%iV{$;vFpu(qPVCts}w0--7=Log!lgyg_><4FoxLzYac- zeH6=k4{+BF&0fhronWAr=$ADj7oMZk6ON}Omd;$U$0G22k_7tTAwT5+u<=(YR>3856;_#S~o!h`d!1amDr)4DM(_0Vn ze`v+O#vCQds@wgz8O*~4dBp5rRK{|xlt9ZCDHlgYGJWGQYxuWgDrkskF6|yRUfr!9 z1R6I+u|Ykwvx#i|^t*lDcrAzWx2KdYvOUtb@z11eh%f<#`i=cX-wa`|vb7RtD*mK< z@x<>9VBR-JAG~lm%I;Ts-PA>PaDuW`6Vz&k>vKkuNk|`dfxuFzdJ;Tpv%O&L2 zduy~0d0QV;_k#ILcP%9|q+BL2;2P@-_w4QBsy{ylnNfRsW}pv-3j_jkUm%sPCL8hM zP(C#YO<|`>#;1gF@nx3gh#DDtfOWN)&p~>tHN|uog;Wp8>i*4aEyZ+9r%$X!=Vu^P z0g~V9sU$JZ)ofd|&(b0Ba2_O~nidT9{+I#&w#fUzGUs)UDqfBF<|{Hm0B4_EN(Nv{ zk=WS99XgWc({irp(maRkC6JQ-Xn%nw5s;jH3O+IJTR?t~qe`)z_b>H;s31my!*|iP ztNnNXTS}?bA{wMKIleWprUwk};QpeeW`yp)*R_LqYm&;gq6XkhoD8-KY-dz6b)T{g zo5Ej_;Ap(PB+>78adi=2;ML)Zi2vRjZ)K^ot9vmct9)T?BxATQrYN`d{G%z-Ry> zgJY>Ue3~+-b58?>rWj{;-$M@4w+ZI-PV_5`i!*vgS=MFlV0EbE1U!NO#Z0>xcdCW# zH*?*S_-|IN5d*1mL(7(NsheBZgwM`BK93Iws8QzIG|6D!K&`*MTdFakJKEHR1m5h4 zz^Co}INAz2O1sQv)ItF0gXoR)VKL7N^yJDKX_}w791-WidF^`)Q+bj(cM@mfKS8a9 zpyT5cLaH{TLBV|cX4NvfG)Qso!(=nUB1wd`a;li61O|^fEBmDZl`C&=K zcLrV{G+KX%h@vJdbEaw`!lHn|`L}TE9lVoaV6{sv9=&YWVwtJ)5#n5l=k<5enLyO1 zPc1zy6L0>wOPtt%@ZV@v0Lhhs`n-2+g_0Ke>7@-5!HaFlXWz2SQC?i^mZmiA>JyA2 zq-a=w`Hfm|K190+H4ddgSdSSNP_1K~7zeDw>>jjgoJ(s6j)Yy`UkXon7mDN`k?`mq zKI7Xip2*eqM|=~SfAv%CZ>ZJ~lsqe0U_@D7^!sld{DnF?>j+`iU~r5_o~xI{q&{|7 z3Dg|zfMHlDf~5)X*kGV)PvEgKQ;%k2_Yq>>77w-tIUpFK1xE^a$4?@%!jn*paWNp* zWU+&ZqM__Qg+5@Qy~7OXe)W*2!2LB-&I@MVXs@5KbptDcHc9u>nl8n5`N!NAGlMSZZwS=zr-4zLH#X|dQ%sVt{^CgoXns5cjt9#Sj)~>Y0CsfUcVJ3nH zy`{N{`;~j0?_^WY*&XzL!j89yj&x4?ZdU{m6E8E{Sy&B z2g1zM%q$9}33ygrWTX@M)jk$;EzIg~8+=*l(gJI1iL*V>M*6BXa2q?q!E`9Dnk7Sl zB8rM@>(Bk474WvOAGh5%yZ?4=p#W0kl{8l+O-K3c+o5*cV=uG#}*v_E#u6H?zkrx>ud7pdkg2ny|+z69%9b+?Gmin z_&zDV6K{jiQpP*`!u{YP>6SLHx{-Cu)%Jm>Ig1Gx{a+Yw?KV0HMM6mGk0}iy7|SyMw;}jyh-h#hfHBX)aT6b$6AXu}MCy`BiISHI~`-Q*%U{~$v z?R8^eZFD7YzftY3f=3j@35dB|@ z@)Z2+-2Y8Ti#1_TE-NV`T-9YeO)5yDVU&W2RRegu3Y95xDGW>@zb&nw!(i6%i%^3v ze&X}bq?jcD>eJ+)xX@c?Z2&g46JUF*h?qU+#-P4mK$#mNL=NO=2I&BpRVWCzO0KXr z5Ri)tNF|1gLq{>e7G7|&Hk?nKQ1Q1w^K=a+R9tWYcNooRSp=QemM{W`hy9$agaUrU zWOjybPrjw|@Rxl#hSn#*I3Z+BLIe2`wed((J zQg?T|bDyB3R(ti)LWtRbC*D$=s0bkPO_*m*V3b{0!aGFGyOsR4>5-&l(Si2MQu?8L zWGK;1+(>(26+n`L*2_+68f@>C(?@U@c#v=l_Rh{pwQS#sL<(Yykk%E;EgHYd*^RRA z-~Xon|1_H9YQ%Txi#Qf`h%0z;VWzh2x`J*PFUp3wv5HS+gC|yQT!MtNi#yA^je!<+ zSwtN26Ji4c9OdbxcmkfzIz9`aG0TD09u$oB7yG$XFq^i|3#WQnOlD)N(BjOCa>0vp z=FJH8?j2imHG8XI(I2)3ia>~SIvOK>MZ&}Q9XHbtMvYRGLJ*%b*}>?3?A=C0UO%RX zT5p{+QD@9r5ThjQ@esWK0lt*k3 zh%Ooj&_*Jkf8a9G>^}kAed2e9^i#X#oAlyqe74m|>TQFPL5*h&_*g8FI z=j3^1km%QJg-7Eubz8F4XVOQkjLXHqRS0H-huq^_bC)!7tb7qbSV#RWzZW=}aQ>F# z=;~1N;tdr%VprbEi5%gt@HBaNg$;vEq%v&G_|f@;ru=DPAOL~#6ILxc?K?pLhyItv z9SL4Uy5+#dwqU+nD*@igaOR%?7yZm3pjPvRI9rO;uK}b=q4;m3Q(Xv1@whEa3TicL zkK|Y9@_omR%iEOs!z2Wgr7uxFJr&fOF0`Xe?NrOMt$}LP&b~UYyq{{;cD6%-vyi`~<`9tT!i5PpzV*Ny zaqwM#D!9aE=$AfX+>TLZ05Ci;9~1Omq5HaNcf=t7L21MvQxj4g|IHhrby!^JQK9r` z`)k@&ii%X|R(@vNEs+G$YK^!h>nX_#et3fV9%r(I4}qXJ(4H%||8?`|QsAjVM4Jhc zeW8_d0tHmyD4fKhPSe`R;%h<+p~c)m+g4!ZgzXdf8;M1<>zeH|LWI+X_1R83yGrj~ z#4CaoBGhlj3=D}4QUdh`LaSik4=c$rhQCG_9Ih1a4dFKV>uZ=AT0rFRCZEQ^!|Uf( z`q`I#@CHk}#9Leg@*C=w(QSbFfZw+AMeMKTzysh{nw%b>xG93=g5lP6TH<5zN8Rx! z<&%}4zpHVKV1<)7k`-d}TioNCZim}ZmJTW>jkC!v5L*Dpm*0>lSAGlZ}vkQ0ioDwjs$n*1e@^SrXHLI}z7 zApVdM)1z&)KkP}xkHefUfD)~YA?Y$-(&GHkR$(neG5X$lFg58k08-goQaHmlhR3WG z&$6Y1N`0~^6`;IMhj!r$2(JTTl9h2h5qhjozk_7-r)|GjnUEKKrayLjdu+Vw6LhvV z$juL|7eKRMRCFO^5y87L%Mr^(T&fK|!Y9PF2U2F*T*$FY@ggD|Nh9u)g!n(ZiED!w z;F(Wz)5`~;UL95dIi=ulBhQ#DCZ5tC4HG$Xy@G_~>U4>7| zP_;mz-|&nyY@VL~@Fc6l=xV~?HY?{b^_oNPngo#oPo6k$>kVCc!?!me9DDO{u<8-{ z@3j=M+`hK(KCx&`HXdlRUBaSI_Ee`vJI+;!jQFLCaT(E*tkne3 z>X9s%geoRnpzD06U*{T>+&ADi4*9b~*>)2=&WPnX~o)8}>ir%0pNoj>hOkR1}b zsDY?!t%+*j!dvZ~NJVV)$l|?YwU9Zi+#Y$bozheWRFjUqtC|%hT-n`9JrRv9H@=x! zVCzkjRns;@<4~Lh76jeB)c8n{vf~=oap=>N=58W@J}-VQ(B5{4mG=(f0*2$S&t*Ej z&kq3NIdL#O5Gi41>h#USsFu}o^MtJA_K!-PDcpn>6pi+f!hrDwWVKw?wPQPgP+!`z zHj&mbFQ+GL>t;9QUHU(hjF2tq;wawjNy)Dp^FKFsZuD(`JKnxPtmFI^>6K`zXp0N- z(4Q=mz^~+QaHwsjP0?Ttdu-$IHkQA2Ffopc5BR8g7Ug{A;AD{qyv2}Z5bHt21D4p{ zIsnXwg8h1k00kFYPDIt*xGX4(Sec!fS<%L}^wHp34VK@#S*a>$G~u$DAUW3bA9lSn zAr6*&BwuKNv?{`6xX>Q6x%wmH4Gw-CzqctZOU|(+yP$4l>Xs6P}+|L3#!0r7MZbOT_|Ko_U(sm|(XKxWBX(t$BPe_CMOu1;57lR2iH=bUgy{A`7#`g^HE@Hs<4-HUe1Mm-JYz z<=0=A#NaRk&H}6?-IhM&zy3~flFZHnYS3+Vp`#tm_lcD>ihzhOVZQE{Qijt>i?GPo z>VKc4194V8nb5AK@%a+zOi7H5;RO@)Oul6azpzEISg~1w7q}<%xg)*ZCl|PfKUF2! z90?5$VQpYSyy-{6Kog&Y<8zF!v07>4FYA12?)@{uXrx>=qnWX%hV zqb?_XH2+8h9DQ>jk6}~F7O7K_i4*f4?z+h*_&# zAAF555CRGU*s%}IwLomt+lGL%-_K;Yfh;&F;^Vy1P)m(_B))BX@AX@l`FA0!*06yc z$>>M?&W&yGt)HPf?14YmumQ7(N(WulhF4uWPA;fz)pve@&sv)(a}*u>f=PW$g%(e6r1Im@LHw& z*O~aU-i|7dRcH$EYw%d`v#6X!O)(=id|}?ZKqU7j#+AAQ^_?FjYHGq`^n7+O4L@G5 z9o~me#JRhW&ZOySt`TB9m!qmrEWknBue#mY&88aW^-8wIOOd-N=PD`5VvBCT;2AUS z5X7PuBm!P`d9RWNntxenUv%?ZtciS9kv^$@a*iHQn|iJ@jL2yo!Brg$?AXagqzI+mRT9$dHn^M?a=K-hfGn--o~s9+Nl8> zP~Ik{k9|>cPU5<%&xPms%m$P~*cqS0W6K+!XP^IqpT3vA!?M9%N8J>=Azb>+uhXPW zwPIJWzR;8w1zd$SB_@|U-z4zq(qZ^`w?!)^d0GF+a6T2EvYKNEu~CKM8j%5OGEe=+ zw>O{EEr^!c_D)Rb&%X{<2qI;HA=V=IpY(qSt1l*3>7-nNXhx&&qihT9bsQ*PEME&6 z8}>s#s71N6*TXPiYShC~jm?U-TZya`M}N5YV$y9bDduG1l7vv;ki#++?YFR8IWuI~LqEI;k$uIFBw$r=Cdz{%IWWawQsG*$(MJ=W0iEXXEmV zek`64@zu&1?U=(I-d=o_Z}F&D$G+n6;g6396J$qk;jGj} ztM`aWjvwFvpyxL0%S26o0&JwVS$6o-agbwrPbvvw$d!Yx41Y@WILlnV*U_jIsA!r+ zVm=XEaj-r{1<)A6PlS1XKh{OodM|d+LaJXXq)Vz%CUD16&*v)R-^Vo5pVjw!*Xu<% z9i4PPlhvCZvS$~<*c$v24XY&a=St!a>^%B%_tT4+yCq-R%74A4h43*VDXLWyg9!lX zK*vCvMT)Oq?CDkVwypzGDoL+1Tq1thG7BcStPh>>?w$c0EJw5EX!vw0hCU3h<{(aT z&)yl=qhRORnGQrpV)7%%1AmW;rpL-~H6XbgxtT<81IbWwB@>)8r(XOiA-7W3;Kgmc zyxHJt523J{UNY)ylbSemnNwO)9CG;DgkBWss+1R=-#q*-es;w0AWkU0hc1Cb6vG=t zTF7k9At0o8Il&|CS!vq5v8QS2H7g{-7sXYlWf>eEIbS;8srkEmcu_4)O8AQ2q6h=C zPM^;UCb3xDvxMeg<@oOA+o_Iu$9r6-ug@YI>MzPACcjklv48e?h9LEdFiLg(`?ehQTRZFk=qm@LMio7>!4IACaweNd{S1N zq!ZteEYudhPm=)=I|rLZcoYqs;i0yT@0W}=I`U^oBnR&{=txPB;-T#Pyy{iR*tdg$ zw_K8bXe`rM?(jE&w6hC;g6KJT$fp09Ki%--@A*U2VG1ZoMd8fXg@KGZk8_iK;cdNe zy*cNB*N$qC8rl{QSIsmX*w^~YLHmF+<>eaEXUY!m70lk#+38G;GQ;TS13X8vdHCxr z0Eu*%KXhodTKL=HOY8l!z>Nx4EJRhrU+FQu4xVhRK|rK zh?}#f&=oA|W9$7|X;ocl2keV{U5MHbtNx~TX9kIC!Qdkr^d~Yzw-${L77J4ZQ8)Q( z_&rxx-#=;aT_m~%(f!Brqvhr^XNbq+qp@30M(=G)olEG{|EHd*RUx9|H~Ux&?o}-y z*G?k_s?ib>Uez*k*^Y#$^##25&t)47!FxG7CY6s?Gg_XO_mTG;W0f#E8-h2R`4If{ zr16%AG6@ZilNuR(6I21y79viBgyUB|Bs{MgP{0#BF7=EMNjyCWPmNU1^5Eo|rR}hZ zI+<9A`OsMbgJ0dZ2KN3TM5p)9wfwTNucm2-G`dQn?~BByN0Xf5h#m3d`Zoc;*$m%b zBYj|eywJwWMZIW5GKSv@uT)Jj$;E}Ea3N|0F)fH_h6dy>AL^Tqp5PwtmfM?az@UxB z37!R#-SG#*5o>w|EmHDTXK4!t*vaH#(+WInNTe>+p*2e^;IVd84Ph zA$Hf&)zsDWX)PlXzp+#T7m-9saSu7j!aAv*-WoZ#9|;?qhdK)Di!?Jn`TK#)fkkNx zY0M?+gnk8s!CNCH+=E{IWhYx7pR>cmuH&)aq2hg2)s<(J1&0NP9X_FMAHhvLq4y$Y zwz@rcz2{uUs+Wr;GpjP&1xZYp^#5PzyZyVNHSf%Pf-yO+b{^O7dIkRq?7~z? zB1dV$N9o-!2ps$?F7o2(C98Mqg4uwFq^X;XLFw4=$ zo&=^2eE%Q34Vm=^>8#0-d#i;z86n~LCXgC{Sxu0L*||5Q&qcOYH41S$!e0SIeiOoF z7Tav;IHd7WaeV~|K7HGI&p_al8702=+#*4&P8m)Op3Tk`gT}#rVlVG(>hig++&D>% zy{gn6vi6C@JiYhH7!pvjm&|Vm|LOyyF3i&#K79Y3CcI3xwTW3r!g)U*V4dE0HiL(h zuv^V?SrcGX%&8y`Xat(+8$Am3^78Q$&Tq@U^WKn{FD}gUaBPt$jt#z3FUube`@5Vb zfk3G@HRJXz!sJf1G?E7A_f)tkRL9tazgllTzvE|hNlYo`0kyBnqdo{Yuui2KT8S~q zhg7SUJH!qlQnY&HY0aNgix8G>IcslpmT0e$;!=-GZCm9_U&GNMBj6Eb)pVfKwB<<& z9uR9PQh}`q^4zchVX7q@sWL}nKj#@tX2LwM>3`%9e;Ms&L9emr*8b7nh?(+He0zQ? zz$(JZAi>_518}khElney4rLv;Lxd*Ja(hNXD>AxNxkJl6nHn{bnBEK${!E>I_pz=} zVd{&LF*wn)c!{w(-kxvkw0h!T@Mi4sJEE^nkkfXqP^%g?^s2$E=uRu8NkFw`?@$DQ zT!{Ypl1Zl5EtENl(z4QBdbCeA7W8+K{pj}wA@j2!Uq2ldK0Ew+@xCWyyu^I?D?6iT zw)xa}<6-`SweKhE7P`aYyXmRtlc{$L-Fy67f7uk_X$U1q9U5#){-^p?N5hEa6o>WH zo;tS|8;CnH8bW6^%ZBwNLF?T(t1^e2l|z|^#x`8&_NQ>wGU4y@OW4vb%U9Aje6&5y zzNNo*D#zI<8M7O2nTycxPZpM=8>k;KLf6>lO~7WTw5XXTqGPO7cz?bWfg_uOeEOv2 zL^Xdt5rj?`eHa5@9pQ}<>&32?hkSo!?#Dazz_S0*uv}TSAbN;2r+vW=h&<(aKFTdb z!f#N=rpR|{J`hC&9Ii>5`*?3;U?xmi+1xorymE9^*Z*<;!?G4IYG~$tifxRVS%f-W#5&VA7GXEqU^KV-!*23f; z#K#mG;Z&mUI3*V=d@0D}kLHL~(}hz0zuYN=u_@}(mA=5Bc?3>4M<0AJ6fYFbiRH|O zlj`4MdJw`K*cBJ$*<2?Vq=WBVe)~|NwZw{%_dA^YMmOY>EC%rM0&4v%e@`oX1YqY$ z+TxNs)3HtzktG<$r#uk~^tRyBEyGWyG*nX=Q2U}{PaY-6e@xXR|C!#9+0n}_PMAsJ zNz4u;N5$kAYVsJN9K~snD>YYMqo1ttC1_N`;F_5$);u8=v_{F+R194vFyXi^z%w(1 zv};UGGT;Tba#dh<)8#gC&i9{JhcDkUJ0pR}5lg4s%#e=VjB>j%%=`T}#M#}oPAN%njdC1WKAqu@AVqHw@I0}8td zmxjw~v*HSDF_9U67hBZS$+E-7yscjeLvJpEjStz->HU85FrIMN&L%t8J?jVBHq8`u z_lx83KCjCkxUbm!eS8Pe=#Un0v#t-rDNviHel83R&ft|U<)J0+PDO@$6?2=~f?!p> zM4MGS)E>h9`at{newhusPiB*;T4>4lTwlmz+6lbkZ+`PJc?0{Np=Oj_+wIAW`!z47 zP*it9D=uG&jjCuj3F%NzKOx}>b8K^Rs+U&sYoG!jT>q^B zc9(Yl+p>jF%oK;<;p)a5Z#%*3Ix1c|1eaXvMJK?fu8C)QUT=+u5Km)t@cd|A&K#rj zZs5@PHn*Pyo{#z(#R!?myW8^t!s+M|NaBov8`(ywL@da7EG+yyJ&j5IUCCS|58kBN zOg9DC3%TolH^j5m9oKm7yS4+n@$maO)$M*=Pim&BPh1lfKe;d?wn%}IYF_Bo$%XU8 ziLD9tjb1sHH|HSHgubqa@yn|k1K1)8V7{F$VGfY3m%>^7IePZP3k5ODWS8N*A+}B=Yk4aW&bObi? zQV%;hyY=I5YDSn_(3Or}YXAJcPDqISH0jO?{;_2)XskIFl0W{M(FgCjVa zA(SnJ{Gl!(G^=tFT?i%%DR;va10?+m84Wz+1xN{bG9gV4*PYUY+r7;9iE!leWd0x4 zG5T0GnD;WMs6R7T%EzY(-CwSIm9!ug_^TE+@PAWu!$ZRTPq|uRda*+m+=24w&zo4! z7D7S4E~+%)3*Jrtl@n=3NKW28Iad;T$oW)uahV({`jL`CH0xGyG>l0}_2T?_tq+ar zeoUcQOT^C`qevOyP9gMKVMy8R=lcO|2MG`A|C9wD`Iyhifjsux#Db>X%CxoSEWuPD z_s0U85SA0}xXGJr*8{fo7THC)I=gPG2yX-=rT8K8Lv4OUsEvZ8nz{u5cC6**?#>bM z$g+d;OZr4=nlt-RPSZj+5FL);wP=wF^DeoKQs-e#0iV34mdsn&n1-p3lUrE$rm}6Y z3OYOgESu$zq!z-Cb9Mfotp#>H$!u)zloE{gFG&U0_SFjPw59XuXLRTirjU0%tSF>s zQ}pofP_@iCLTK0y_SV1yS2ys8>R1L@qvbZlGIB3_IU&6#(pi1qWTIf&7t*!Z zem9CJixDT8c?q7)m~q1*J~8L5uU45Q^Zq}k-YTrEb!{6>aCaw2fub$$PJuviN-6H{ z?iRc_v=nzM6n7{N#odcL!QFLdu5Zot?<+?+$v7Ap?|7bDqvWPiH%+LPE^yAX1l)_u zHCtLQgK>jWx@F&6>qP6;&rZT4mT2#2<+rz>Q|`8Ob6%rrr2Pb+n0hlZ8}34I&UkOD7Q@zO>0ByqR0_PnBrXHxZuny3Hr zPsZj3to1Mew7karkPoXWK3nQ|UP?bW`Db17TshSD7__nfqs=Oi>&of0&h#hH_Ow0z zjlqtoJ)=@48V?ASH?iRr%~KqF%8$V7WAxlC&=0|EsD%PM|tP7F+)`=hVRSEJv@l{JgnI!j1Hv1+GtnuxRK4u+$ zBytZ#BVz}=&l#;BE}yV9-2nNO!2sD>3ceoLa33UyXxi2#pWucJ1wzYYEMvOqvGm*^ zEo7XkU)08Ok!ZvX(|?5>3%Vc!^(3OJ+jHyxjLPaW5DH25@1QY#ic@jU6-$*17QQPMIU1diDwe#-f*cLN#CYe&vXy&{BXqZa}bO5EUMMe zUg84ajZLqS>T{8r{PLMen868;MD*lhV;pY#BnmnX@y)}K=T0SM>PC${)h(0x*?@ZA zmvSGtG@x=R#i$I5Q}WN0p+c><5NToItKgb<<^S)~L+vDvrTaj9$LvMNcz2Q9krA!G zLN(WQva4uPANKN3L(N9!sV_7wKRLjM61dCYzsb=3xc2%o%%}7|%vrp><8kE_>wU;~ zqZx@D@4Jog{7?7q*Dl_75mdIQ>0cU^$@Tx=Nx(WBcoZvi*7?@i>h)#9YtyofJYi*w zBQMz=?Zad=fNZJe0n@^M;f^knS?*T{VG-poc*@*$4^%}$$0|cTxahZXZWR{XtG(cY z6%}WZ5edU8x(8KciGL+($mBN8cqE8uoS^C~!=AjJp%7mN#{yNz^ z_Lsc{`?kI*AM}AGuczvG6U`>8tYH@2?DedyWvHk9cul+Vcm{TMS}G7_JL?k*7-xc8 zWsX#L^KB~~4zYnq)u5&1BfH-Wid8<5jsdFTl-^vL3^2R+Ekf}Z+RQy!&F z?j?+z;kwLk0BzOSX|yx6`0~!sj<7dTO&=B+qat?Iv&%g{zA7v1F9;D&`!5n(XfzVh zn_y+M#Jdx$H?seVbL;=w5y(QrKG+7$-g*>>qs}h*=p+2~OZm$?BzIS%xK0M0XqyIN zZi0rRARk|BPfrv9CFCled~>5{N?TZz@sQO}GHV~>hpsjx)u8utD*5J9n&pbm1I>=^ z8;&WUDzPFHk|5uTP0S@GKp=8%9Z$%0?By@{6GCeo3-43uX9}b{^<<| zL;rMLHZHyhDbmz!xLV@+PY!UUTQ8a^ zvNf$a#2@ITpDG${Jj@k^BsM^rsag74SGQZEg3=w(_x?MPD|XE^sHXnc0q#AA@9Gp4f>p^rW-7UhX55s(Sw5!`?oz#>(-kj1qslg#(+T5 zGE6q*d&`7pe%9}10PlwhAXhihyhcv=` zPMR6Ke~Z4{ZEe7YTSrG0zpH#IOb6dB@}A08=JGi_G1Ie#8lIZi)cs6)w*;Ne+4%VGhKar~GPxQ(- z;AN98F_It_nOh`8CkQINumSdQ;(hbX^fE&X8yLabm&r4;C+AAKb#>ghc(T}-tR$1< zi?C?40xp^Yh$`Z3R<=@lq9Ka`8kbZX&tiCqnh9B{pAmCLQ3bU?YYvTpN#G@Q)@{8p zJs8>gm??sLh9oJOAI&s2rfZb3I|GUZA*1pX@7OS}!P`osuSB7)DH`$&ITfCF@+Dk| z^%pQ%oJ4s+#WNR%3Ow8364W8AN0sy-JVcX?sN>$1Vc>;_CzMFU0HUj-!IV=DsCybI z4Jvg|oh?#Q#hBg8%JcDL{-?x#JRs#&?C?XgIo*=Mi zs$+@sukyoN^4Gk9OqelBu7+Vb3lHTB8i$^pb6J>>eHuS(<;9+k$LK-XicyA2nQ;;s zYfHp_{=u3agr z4nDv*e>c!w3sPv;%_%(`D=;J&)co|4A16u{*#4_f*dJES9iZyEzV-^M7G51klfCk9 zgWb!B+rr%*2`>rO&jvC@9pH~VaN_0G1@(| zXu89|H3={@FB6sVn?4gBc#R}*;5;Q6rP4z8Yjb-#o)t@xN6&+J)OnI0cJ5B$u5(g|1STgB+R}&bqtr; z+8{PE>T#eyH=cBSytfFPyXF~pG%5yK_ksql4YIZ4cYK?VDDn1Z_G|!73YB1(Y(2x6 z;LUi{C2k_Z01L+*AtbapY2bw5F_VY{ni02d*mv#LLxMEmRlj(tE7YekEK5>ivcB2+ z{MbfkHWEOl;#eSxyPKpOR(l!V6C1JAGq@1mowaWf5|KdBh0^U*Zl?l=LQ6iC{eH8v zW%aruXN)E0Oyr`7ugyxGDeUz1!W#r$1-Tn#RScdp99S0jbC4GLExl@163va>|vhzvZceu|F$7MLqdcJ7UyikxHJ zKcq>LA6B(5Z6ihfi?1v?=nKtH#ZpPzFdP&?-C9Eg6L^`bh#mH3Zn9n3SpfkK!oFl; zNsADITu2CJ4VI>J&Ra6sYl)hC85LHzXx~b2WoJ{F63Mm;xaKCw#XGXg5x}-HWaIDy%QOu$ZjW3+tr>dWp0#N-^r(Ou2V+Q5v(vMrS!TMwp$Xe!D<}I2Z=%d=z zXJKu7X_ioq!aaS{Ji^6MI5e_mfhB!3p*=}b$E@4%37Bsc5gnjQA%K20oaSQI`u~GN zd-&HKW_fZOTX){`A9w`lA|ta4jtT~!`kne9V^^kYyUthW;qpKIFu4D51}}C7zmXhp zpKQXtGg_4HX^Y)H-F3*nMciR2-QUcl+;bDO4Q{%>u7 z=6KcrE~?QN82#W2#zX3CQZS6K{7l3*=zLi5!6>c|jnFM|Uvw78_L(z=Q7V-! zqK|p^+@HvIz3`_s^|R7Qz;wqR{Q@b2v0T+SWIM$lhbwjm_(4Urwd z&Jx9^G*)B)Hd2{CB4TjJ05Pgfq!&Yhy#xwsBz`w>F@L-T=0-@7mnpY+7MEgOMz)qL z8}U0`Uu79=Plct1O3X003kVAv@1K-5pYA}e#qIEa=XM3OXbvjXL^M|3+@k}~#Zyw{ z@NvoqKF-P)WIzmot(ME#JdRRrk>WGv2#7qSKx6E;lN^EkS<@(qs7n&hIx}ngl&9Hs z0hqE4Z?%(9#9*$q*q+v-NQP(e$T;#w=ji8ViZ{mVjYBP@wXX45D^?e-lM0wyRc1N9iG zN`i^}XNgep25g-=vz-^_($V<@FIuovscp{yJ2;-v-tzqx=$SvM)fDso<#7H4Uh}K$&mLxWY;I*gZ8Na_zR{1)DbnKL*8lgiQ!nUkf+p%DFY!sj#WS4RaV?KY~0 z=LD+zgcqZH{y0jJ#ei)0|JzCNka@>}w6zzHC)fg!7GdWV6U8ros&UNO^jIt}Y3)wX zXi@SdsMZ;StQc4QE;4dH)#@aVy9yVr5==4n^Y`DUe?#a(5LSIE#0zbSM0uy$FlaI$ z0l-Q;P!~uR4&S5%xN-reQ0To!2ud3{Q|Xhg$#{wr=;1nMy~`x>bGNVdNj_@p7fQ4o z+-Tb>$FpA17N|Z5UehWvJP=~sV%K)SF?&LwSL6*2QCUkBZlQt#^ry>xF6>HVqYbx@ z&IkkboUdANn?&rc6hOEh5?<%8+-h5$cDoQf%XDHS1b$GDEaFvI?nj8?Pz)Kt2Nqy% zL;*|rE3#Xex~z3M);{=tdjhK})2W1F`EF&<@oF8Gv7|&uaeGJ$@{on?*bp zCW?D}?k+PCRNZ}_lAOR=4@jgdA%e2zcoH+Awy~NR97P3#-zC~fEUGCtMvxty>1`au z(7fYm>J9T;?PnucovOlQ%k1dPxkk3Rp6$$ZLq%j$WU@|N-%DEzR5zHN3!S&2g@hn; zG|l#mOjTDYTy0dl7y!QhS?Z`3$*R@MOV5T6fR$;Gy=(g9+%6lWSM@2Y=lw8hHZS<`&+>8!qlWtcWsZwBCd7uk zM8R#DW{(X{@5fUeuKiwyDds+5r%*nM+f^D|{4#GSK`n)qDVwU7hXZ!z3LqX5{Jw88 zwHVX0XxVsYpKy0hqR#>T3(-J(VGZenLhcw2Dl*HiHv9ay7n^}sxAs@^8MktH_JacR z#c=@|YDA_{O`{M4X}AD5zxTVA=21jmk_^CWf;eM#TFkbS=!9S?mNc5Rx*PM~@yR@Q zH3L3sTj*g~riVTyO6hF_XN_A3Ol+~6)Qz$RaT_3y)wISdtJIJSZeI(mh<~3JJmfH^ zoQGa=_mf|-A~%0ci1i!@)@!q$kD_A5p3Zu@=Gn;*3XsNqo(!I%0&tbGgathL=OCVw zQTlZUn%-O)@IN^oC^(pNWUz(L#Oqs5Zq~bkjiLvF%n+~#ABdTI|97E^4EQ3Vp_2gW zM1xoF;uR-$0#6@zrA#c+A-#472L#-T)?1cVyio3-5XSmYo`cWKv}fUhF>iv;E?EtC zt6iW#WdNCHC?>l>>$U@qs z5Du+QLcwp;qO4U&`*U2dZ>^B~sF;c;f}Qc{bu!)d`Jxd$F$s^ae}NzkKaI10M;e|{YLb)I5fx1^5cDY2;fPHYPh66B~I zgeK8NnVM7kUGe-@7(!;n9U(Rnq4JLN7Kjf#ist8jrspbSjavF<61!F|V+qRsLce(4 z^pN5{`YEj)>1!jU(ahaEEUXt2s_Lt2NzkcHCj6-;iPdsoWTm=8Kif&y+%!55=@%S) zvKz+MHJISr2X*RtI=m`OM~lrlLEOL!yMjqY3hfv@V}6?iq8Y|Nf+dpV1(fC2;_6GD zVlv(?KW>8)xpuL{yR`t_mj!Hx1Yp)V06KK@ysN?Lb$6>%ro`n11{m?8;9%v)`5l>* zVu?Wo#!-vrpGpI+D=P&3MOHBcd$c{+Q*Fd{cAF1wf#`awYE}TODnVRde$U2WtmVA zU>1YXd?y@>KlI}OQNBQB=T^{WOEy$jC7<3gF#ofKEq4D{e0i`-Mu(3xO-7;U9jmEh zAa@{p{?_krV}$~_@BV_@1^ch*kCq2p%XS*c#VeJgbA@DljA;};(dPum(vn#5mc3m( z6xO7<-5qL&3jv)DNtK#mbp3(ruf=Gtj%BU;iovNoda~tn6Nc5fp^dlx9p*wriXr0; z{iVg6s4;5kM0v0NlP4d+&LW-TVWqDXDKjUr{8!?A%ib+P&1vSI;cW3%**-O3_q#mH z%$j}#mUCQJ!sGfrT_8b{KjV*`c?5&9Oc(F$|I)u_SKH#(J~f4<#GcwZCKG}|hqK5} z2Cs(!m=tSpr*NNo1_ZHtI>G%)bsSjHH1D3e*`7Y!!DImY#RZgtu6s4a+LzrL(l-hJ zF0+Q{{1DZguw1r$bEz?hB8Vbtu_{OuH0^2Mg_3^y;S7cSt;|O^R^X0Kr>wF?{=PFv z%2;YuX?Nt5^TBz*m0F^!%?dSc#U9~J^(RKC76PaDX1spyOT{(8LlaUfWO8r=9@@$a z#)Wh5j3c3V%Vy8B`I1;WGriT0=DAyd9|JDoIb_e9;OW;6DKK{SshzOGkfoxvK0{dQ zG3ECBny9>7f`TDxzC4YH_@*gHPHG*FS-akky;)7QtH3gCazg+@$eq2EX;U;kt|s8vVyE9dYPi; z#M#@=g>#J!$yYDl&g*}xO}f1O;Oq_qgL`%_VT20DQ+>zHeD^R6=g~ZL&`h^+8nJkS zeRJ+OByK+oeSW@nSK!f3z^c&r9x9DI8d*U^-8yMgGMCU00k15BrKwL%Ya`uGY$3j_ zaG0QT`Hq9$Ac->Bb)yk3RDiJ;(%fhLW-^wTVumHn~rk1OL(4=R%HaPOAYm%kE+| zOuc-eC1{wc?N?i;2fi`*5~sShVGyQZA@YHu<@blrZZdm>5@r!MTp2dw84QI2w^5(- z=P(JDxxa@lk;Zzcg|Pw`-^;8kLFo_mm3!hy+y-=QUlDS4;Dm)_s2Ua|(j^=xCjCz9 z?V$jJA6$w8g0fBScpv$Rc64fOQ20f$R2K8}qG=F9+6%KPyLt5TuEbj3b5CpBd#($q-OGxZ9N4V(Q+7~Nq#|?Xsq^vL zTQ%AiL4`>@B~>ya+(jW=>S2(?iowu*{RT&gGS1HVlR%P`lUY$k-Is8r!1Nd?WxzW* zVOOpxWK?e?TB`h?9MHKjEfYB5iTox54cvJ4CUD{do}?6SXpqwO)O*Pp|H<8i(?wjH zkLEKzlyW3*IISxQX0Bbzdn2}T`?x&w_id!?Mdd!1ss_gyomn|4V;kZuU=R2Mtq;aN zVcTKycw5>qHjna_*?@ZD!G&ao-}RAHMk>H3$Uh%_9IeX^i!PuB6X`vWnPL4Q5n~b=sVXRGcl3V{x)Az4_RiruS zGG41D;m=BJb(^(0@7Zrg;rm$GJ~>U+89uW>juEZI%ZXF)B_^nkEiljQ;}MY2?`ADk zxV~P;#GL%>KsUiXBmG$U6t-0^PdW*tHAHlEP`&(}#`)1N%`kEB)VYLqand zVmD{6Ob1SyXyL*d;ov!^yoiLba3q>A`aUYQ?`CX-?%oo>cnus~>@M3DeWWRm5#b~p419|CL;w`Oqo<#qy0 zak~EeO-dSyz8pw`I^}_YB(_r)W7W3K%(0~-K~h9!)87+~RfxDV+b(ZC6EXKaN{*kB zO@67$s3xhiu8d_QX{Og#&wo2EnrIvAF?m$&<9Tq5Z$03hiqVccLm2aObIrt;B3_jc zoPpq5i&tVC&g4@ZF&zIZ+!Su(uX>m_jhd?<-qZel+^{r98F`BCub_SqHu=xGXcYd~ zPxg{i`Q}mH^_c(c#G|8S?OtDa#eL0mzwhC@ywLyY;u_hJx$zPUf|z0{-wZ{`(qJSM zQ8M$8tzV~oe@Muy-YfeRIUg(6$#tln$au(nDu8Cb-m-S}eSuXtK!8$2RkfjZWrkW+ z0<2o^S9Jb)Vw9j@-ZP7Q7oxvVw@*eld`3f_?G#@IjdK%cT~;qNq9>H zu%fE<=gg9@-G~ah#gimz$S7Q}Jk}X98osm500yxCSN)%d5GgF8f{T&!l%#-_&$a4N zhmC~f4^Q_Cjv&dVoHf-pT1hR(XwIVr0L8>D1z|@^_~s ztNryBgq0H4TrH#HKSV;`SkSzG7%4F?E@Yz=4M<=zfUdOn~#ALE1|H2GaA=pVe1=Lp5%K@WL&kB~v9& zR`Q^jDG{CH(!O%N$U02&eLQ&gT~{}WqO9DQ(Ttv6V?T=dqK__@#im88P~KUAxJir# zsyGuw3$6ey$6c1=x2|ToC7R^g-(N-wB8#y1uAC|@vdk?2uObPiV`n54(3FN$92DG| zljcl%9i_KtU*$o8sN*5~=g%8|N1)xAE&BXN-&~K7oI1bZYQUNSrsqDwW>##!J;^)g zGNi0hUY&XoiL{1Dgpu3RHG{Uc?K$@#&u^W}KPJ8p0M(1KP`4puYgP_k!#Y8vUULUs zk2lBY|51OfJ*5YHAKwmj2<~!n*w#jZCfwj7XElISh+43ro#E|d65X2-3?ICXA`D$~ zofk)y+@yNG_HPu=+AD=Vpjgd%sHypR^Jz&>7y#xkE*T`7q3)(7$G`9&Nb=UG#cJCb zYxl~++w<|0ofqaO-hd~lcAa+9`y(8XI&I(I$I$!#v<(N~Q?z59XENe6CdmQ1$^3R& z%UDvlB8Zj_e5%Lp@}rFc%!vjQbiQKKy=A`qFm~R;V-5mh*ly76)kE);RzmgbGTZy; z_wlu?3!Nk?v~se|C4}Tixf7lh6dY#OFi6?xwONeVoNa9i3H#!It!tCgn_>xq zU0gH#8H^SGbX`YZnJNOM4SHl7tDk4ogu_Pc$zE`GTQS*PgdVgc6wkHcP{OO2}9r^CZ7O9PQ7TLb1 zb95}61(+8puerdM?^;TwA}ZBogm4FBrt8R|w$HbDLPl=O*6a(U?kvEI(@`@w--37r z`4;gqm)z6f6ypMR{0Rj-$`Q$MKmT2+MColSNQ$f{l?VK=O<&*a1xNh4SFF|pK)U$j z$yXv|oUjIb7A%k@qsFzmE+HB?R^ah&G2x|3F4POZu+K^sP0BJ}Sl7&avr~E`%5z)4 zDgVwnr&?Vom`Ex{*T+_ypNS zkv6RX!Qb5A5YOj6#a!ik!y>Q87+x@WJAWJp0yO2ssvD zCVUdfc1Cj}&9LHc;?TBgh5xutBAx@TL(doF7k`tk4GyR~Ou_qMBEY1cEH~xTYjhuX{cd=of{)g(^2&Q^6^n?*>Vgv)Nt2Q4W z*4HWI9wXrOuu^tKI!@bF;zgUlSBA(k5Kuh3rZXT1YF_l)AMzDGpEQ+dEF1OMZV$C_ zgIl7`ki%Pfzyg3wJZTVbllJu+9S%xRBxbGWJ6f6Vt6~S}1KU%qrY*#GdRB5OtI96= zhNA;*XxM64* zM)D@bH&pJP%7X{|*!igM>($KV1C7ygV_wwR=T#pF0k)3zp^qewMQit87zB$`OEv+q zT3h^kia41h`IuJRK_?t?+Nvu(O&~2CDq$!fCj}Q%;FAGLK3Dw&J0kP%c|0Ac%11k= z9Qh~G!sD??aG4$dct$G4uthmxm!xPMG z_6HJZZLoW91I~~G*sq#Gm&1WE>L!G_u*OT4*`=48ET5D8)1R5;Tb(9xB1Ee&_UcNA z+gT;lmCF?r+z|P=BkQ1vDf?gKC+h|zt}_DIGOmMFN&%efRV3fMS51@u6q_XF_5(s+ z%}Y6CU|vV5>XT{+iaa(OJk=I9zg4IQe9Pin+T-uEe7vqr+X_Z z8;jRE=3>LmA;i<@_SAP;3J1 zerMz6snyy6hRJ2cpzNgMy423&(27GZUq9dnHE(}!b0o(q>4Oq!KnFdObpJUw^!_(O zs`g;wr&{5y>E%jqGr|MC{K=Atu97+W+3#U#Xw(R@I{MxO>z+yd5RGSmq490=@!RX@ zIH`{Z%3|gjSA7#VVAfz$-s(b;mV=m=m%eFO&y3cjLvjReazxS4=DScURi+P%5!v{Qmjp>s59Ii+EG2_fc>{Oc6pG9vK2kx-YSuK*w+qLHPkl z^kRT^1Kr>bPHg{4RPrBcq30hBYS`L+=30c6(pJ}MwglwNyX@_LaPYD+>^LCij|ald z-hn(Q{rQ7J1d%Ta!#(h^Jo%iG(714;-IZvu;Ndpes}qkg>vx!FsIzg&6a(TCl6AZ+ zv%qWO2o#b}4Rn_S{!^t?<_6&{h(nBLkNW$pf{rWW9xp3@L(3*DMn!hGZE#oww3HVK zGQJNSQu592MRLC4{BmkrHxA|v^3PYzQT>)nb(M{!6oR?!w?j;O5zTH3$IE+9!8}2n zqCP`xU4TxAVM{w4J-1{8N_9m&{~60#-Ra>(4ynqMeo$LvzRT)B7cu!Mi0H?ckbi6v zay#@rvJlgZ*7S|pOwn(mJQL7&uf!3FGv_oLdLRjL$+Rb#|Hq5Yd2Ku#Lesj{O`tyQ zz$njlPjo%&`d@)TpG-x!o9F`8{1Zzs!L>k^q`boCTVuP|eZPNQA!^^@=MktuN#;9~ zGE|uV2+F!Ivu;~O8Lm6E*z%4Xp36IC9r$daFjb)ii9*Du`sUkJpVF1O6&kEPzlVR2 z!V#@kG|nHR>8n@tL-MHzZ&d&N>H1x9ggjZE&r6LRI^WMm_U+$)AXr5qLVMBF$R{3! z`qEeyPch_#U!>;BmS%tvb>HerlZCdRb52M({wd}>R71f^oBMj`a)6n1yFxW2Lx~hE zmC6vKV_yX5EYb{)Yj>taU@>luCMX8aT}M3`{hI|q==lqc-kgj>v7bqWF`izQ@oaaw zAwx4??zc$|?4Q2Oi?U`d9Z0&5lHp zBl*H>b9lnCc4KW|SN$Mu;bf>Ml6iBSAjR>Sm%ilpf;K^T&m!Unnr!4H($RT+0kSl^ z>}-6JhCW95=9U1nOsKfzcgl^NeM2L?;LpwUghjiVAQjd))v%P>Xg~pRjCexbe$`>M zCUW=|S%~ji4Bg1q*8Cd^3oMAaf&QZ6r=6zZy3>o!Y98wIz(OEy5co(MpKQFUe+vY& zLU<57Ity9qP95!@pG;C_4D$O&3Zs<$bxA4=beh4dHHoGgyekdV%yLdk`+j3qw0C&(4xgu)(i-OvPUUJ<>D(Qj71^ zn=f++I+mN1`+6SgtdYGujlT+Gy=i)&dg%#35qsGZYquUCZ%$Ij|LE`!B|^jheeG48 zvHhh!e#IYIOUe~XIP@qQ1ew;K_kzNtN(+2)?KTGj;!7`j{P4$8V+)i-7d{`nKmz7w z@3_Z+=I_5B8y1if{IvdR@*P<-GS+=y)tnBOdW0xp@aMo8hd5j)vYRcso{H`I=YZQP zD>3w130LC>k9<^QCS={=c#0qA2q?6Z1x1u}Do}y#-!y`PaCmvxB_i)8<0Mc8J(%`q zyh+Ivlz&Zcqjau;F3uU}8wS6!kMlJ+V6ftK7S!BGnYkQK&V0*2O<_{bqVwz4o(lb977~PN(s(E^$5?e z#Zbt%uzh;-#0f$ zpQ#x6|5f{Zu3?lEKF4 z2FBAITy|8-r5AG=@rmvMi8-n+iMcd*Zil2R`dA2?FPHbVH!#G&s0`oJkgDs>Da*%9 zZgOR|);mHvRK>+U7$2?42f;>YXP!1d6hMgHnOkqqxkmjP(nPsZhgt42JZ3h?a8T;XLTJTBw7Li>nf;MWQ-vUr49*C?=M~6` zU*39t###76epDW2Sm*q6CaJB8r{`3DiijFRgD}#FziSfm=HoA2(SQy3c~@Gb=R@eb z*gp670u8kX(#SWvQ+Bh@lueG(vofbH=zob7EsHMA6!HlJUpKw2!6JC1vMJQiVks1e z)z!9~O<0@)OZ0_Eovsq#4u}QBz1RWAx5tJ`j7Uu+rzitLrSF0I)HZm)99Q3sPb4HsfTQ^g}D;rMC5K9 zY5vNtILN_*&7DW40+Vk-`}i!`hQ!CB-qFA9=;!GiL2dt@+#~A0bBZ!;DsH)jty!TE zf@F{!q*ec8VGqLR1R)!ZWL1gHn&h|^ad!X61gK5=?5xt*yYs3<)6qB}x8AreZ1{H! z7+wWx9&_D=GqYTaWg3qdEb~YZrw^G@Uy%o z&^98<@UPP6tPUjf44v+%!NhAs?=ex&X<#C`NkHQRNjWSp&f?&^QJ7OA3&R9?Ym#k| zNI1jpAK|1_weKzz;(w$~3z;64k~`69(*5KK+OSeE5Nvk5sN_VNKFT5sb(c+9JmZ9{i7L+$y*uH~9E~Xj*Z5|#!TrWT|4)`}E=nG=DPof>Ivx*~5{`n8a zTMizk3vu5D&#?+*3aFN7^qZbztE}XuzK_JsK*x#Z%wClmgdEd93#>F_bNP0{aYaAL z;7MRB`C-NZ7`s8a_jkbcgSCVE<7CPfKGa0}?8(jQnu`X)ka|-qc`y>m&3}(`n1Ho> zicgX4&=n*h*%n@IqnRjlMvqLl?Td_4^~F)FTu~NHdDFX+E*i7s*t8Zha^aAU|jD;D?*f#G&m55JE&s zH7P~nmrdNITk4Je9qh}8QTk?^dN_kCGfDpj98gghx}%mWjj$0L5gfhn6|ioYu8QF@ zz4h3AbaBqk)4(7saM|nl`jU(Z%XyqnfG_%6R`dOH&&zSgb0Z%D)|cbwWfI&*BI=p0 zbM0^IrqV1VrhIbhawklg@!a_@XvwC3y#qYD{tOe&VBVVZDw*q9oUoDq0WC1gxEI=!W(9}0YttZ%0^V=kq;b^gkU?;b=#)4mAl<94xjUJ#Ph{-ww(F3i&n9Qs48cuGMuiRT&$|uv zj%@_2VnoqmL9yK=Qt^&S0rorLP1BTpzz}G*7a=Mi1Klx2n!?^MHJuXwe@8+As7bSB zH80{nj>4-0-KCX)=gL=}yWa$;a+u%bvT%c8F2R60=5KaYF=BEK{+H><*oDuf>z(0Z zPa9`_eC-KGPI`qJS&?|{kCDQfC3;)cqm3S|svnf+WSo=TV`QicjqENNVQ7rhNg60fs5ZDK8z`aXUjf}` zP6_X}bu}w%e&d)2<(!P=C}fm#+D;WOqRxTruz!$RrQ@e@IjZ;E(4th^3C|k?(AvB*OqCiri5bP1>5O z1Sf3je)?UGv7gaKZL=0KF3Bned>55Iu79nK`QQU=gC}J!F1vK%bT5Wh1-E#{IQ{wW z{oh<$*&nEX`r1cO1__ZqeD_!|M-yY2uSBMj_ncI-&ra14%H$~!oM27d$2%Q~`6<1m z%+Qj{EqQ#SV9fx&ZaIyieorBV+8L(2rgT@P=&o=(zfE7y z5iUZ=BTvS3%TTe``YioN->K+bN&nq5lB6se?x8=$Dlhk_}6gmzC3PJSwBE?dH(FfZA4i$H$|Ft| zYk;_}3mur;^RgkjUdo_4mdEXAhYQC6LRxhP%heifqf6l`w6G zV32YiFt<9uZ}wjF52y|qP*ys%_Fm`nCz6s{ChDQzcMLie2tj%(TGTRce~YG4)t4v? zww2IY%*m#n_>p!E+D4mfLC5}Z{G5HOx!sy7&o62%MU|=xCYf*lLNYusoK;7-VC0TK zk>jde%F)kz8Rhcz!Wa{|#GB;j=m1(LT}@L>{J|$BkzMKSC&Zc}6vJQSxjP)J%vdJ9 z1QpTL%40YS0#mvlR*lWzYBNolcnfc^h(C|CwHnXk>j3>0ewFe`-yB6_bw*vkV<>C&~=Bf;6W z<2@OsE+nG#+HG)$KD$)chK7~02sL;v4VdNfG@6!1m!EqEUpu#3LK1!q0ScK$X8wRaU^>GP_p`6F9@6oaa1 zFBTF|DDlyjfcitu=ePr&$)M`3`T%Z66j{y?+>q+Sw;06CgZN)%inwM>(g*rS$`B#x zl4>Pigu(Z5xIb+An^#W}&vw6pOmz=s`mSx)z`y6)H2A&`m_)0AHEuAFIXEv5y!CDm z#(`L@E&-HKQu2OH7snV0s}*zsj(MLXB4B|6+b`UmPo{p|^fqMgiGf7dcl6h9&kXEj zuMB77D0exgVlAqx_*cogv(qo(LZ*5Fg`I}s974iS+<`3#*EC#PP)emp{{tVXs;5-% zED-H^#O-Sbc`jBA50=f`Lw;p6cedz6P*AK@>B*4DZg|lxZlurQvy=L#dD~gV=%ISz z>WOOGX*&vXlHNTZfF!Uh8f5?^Zv@u+GgbGqz_yoWu3U&;LZ;mg6Y-QBOVYv@|?uny*uc7*RV|jD3D!+|D zY1HpMFvP~wRbE79OHPK$= zw>}`Z2Q}pjU?X4f9%G`sAt|ur=gObJpNPl^PBj)HLWvB@@mdhqEZzZVKDDJNk%c`Z}>IwSBWY}ipzJ6Bhl2Y*f2X!vzwi4(Tyg&@Hac+f(xouzL zO8p34skB6Wg3ACM08#p$NlbmATAHA4!6lj_O1teIp3SY|hv6$v;|`Y5GnRf> zmWkf|LaWukl(s3Ske{a5oXACAY&gxRNs8d>P_Zk)$R2xBFyYP+xX&mRojNFp?UnpBr>i3%P2Ek2uDq<3ogHo zn_xS~H+HxX;W-XGm8~Bly)VE0tfel@PQf${7giNkn}O{i)i#md{*aJr%3Lt5{`s`& z?TU>;#w;T8bE4N3oLii(XMoW-*UF(^R_)8>(H~I0Q2L2x-EpO||Gr6OD$7IVW#jz! zWJ}Y?Q!9AQ6rd*(hE4-7jf$a1?D!5hQi+Rje+%I8P!|@0ok1QI##IA+Og&OX#_=>i zN6m`U{wwN4uKzSsobkIwP{dV8@z1)~RCJbs_czAAbM_8j!6FdFB0oiI5y-QbMIZN{ zr?ghA4_WN4OOvZIzz|;OG~o47qkd{~=D}zFo5FXk1SBJQx?(Q9Sfvd9Nr#%`EBpDV znQ9j8ixwYjbYG6oxs&Sae$|SKiCecSL3mJM7}Zk3;~pnYVFF%s&FyWOT_X;D0u%;*)!&-B*;G zWai7bl8l$pfn_fW7ZFkUa&?aS@6Rx-=HJpDm%X>6k0H7URstzbbYOW)#V+fo#Q>U{ zyP9LEGo2A@l<=D+JqqN8N=iMb<>wMGlM^Hgh>mRlX8C94K#HP|rfVpV@AHT~YD5ED zh)klZ5ozFc5su(<@EN0PnEc+o!A7mvUw#W&NT^gB;)NtcYcWhY;4QckZz-)aYFJ?9 z4@mRqkDU?#^w4oCa`n5bogOaR>zqHuZYG)$A=!YK4N!^fq4l=rm=9VTZj}1Uj@cUh z&Qlx&w8-O`QGzPlA>;6!n2L+Gi?j`K%(jiSY}>W$TD2CIZP%HtWm`*Y*|yDP+g$Z)_jO<2=YIZ% z&+EYFeY~Of%l0c|N}0?5SH0Ujb|O9P(2i(}&j(UM_%kX#a~=}OIkt~Uws7a}6Q12U z-&Hs?{aE`7;TN^vxuZ(uvTo;X_mu*PYqtInS9kKZ9;y#QZ~JdIRp^+1`o8|@vlGBt zeBChr`0o*MZwC-w;(Wq8z&yN-RenW;XMTsgCo;8xw3qZGp^f34DSv} zx+H0bGO>#L5+d?JlI(8UL7T6-_KesOgHX+UJal{pfFZp*gJR@xMtvElbinkXHA#ak|=l!e8cL(t5Mbe{U3+ zuOsP1;@+5oE=jHfIKY}Er|S91|*bfQ-1+I0NKc#QJoa{!S7}<73%?8@0Ik z4i8wwBL{v^4dJvfGFY#Fh5?MZ9pwr6hs_wxl0%ZNE;X@beBsXkbVoEgc_V9m@16$z zmA-9*{{x|qe!Ken8zM*p8`G`5-Zk8>q}8ka-qoHVa$OawPu!@!6aC|5pxTR zlPSAX6r5sH@3c_+2l;zQVqbYv7{BV_j}_9F@KbK=Y5;{Fm5WKNtp=~Ep))&{(DhSF zpRO~-y;6O$Ey+nC8!?VamItT?)12`-zk`*X=m|r+qkm6+MFQ0JxSF>cX;PQ?;Q;vA zrnPLS>7;ELi}E!knKArI`3GW2qR#Z7Q8RFJv9ke5=E}fwX)Q3J1QpD9G9Zq{Kh_(_ zNK`|)i)HytGs9tTaWt8&oWU1KTrfm_Zv^?Gk9^@c@W(2}iZO)kLSe%m9Wb3X48^lxc}$R>^CjQPD_@Fwi~`~*S0z|sVUWELPsM1lzB{g z0Hu5)ul(1DHB&&N`+OW*5}e9P1?#YS(>)<8ffNQF(h%C)pa!?>)9cFI7g|*8mr8!` zW&}hJ!q2*&h30X^Uxz0>uMSVE6^zDtWjiMircBs#p9r@18i0R>6h|atIXOXN^I}rT z!?F93oMT>V3fbYtD8F7{nkS4h44&fuMan67?Bs!>I7R4Je~ozlELXi~du8rPnZ_a$ z^W*AWr!Dlt3afS_QuxlQgXbm5ecqh~6x|kD)+C-RAw$G9M}Y!A?AD za!ek5M8ydIQeCqg2!AR_N9M2q2bG{6=Q4oj*f0mQ!*Pu&d2(B&b~7+bx@A0^ z2Rs6B0di0Texf_Y6_kn3(zw`$9*Y$xtqTha%+j#v#B(ipO?FlKCsc!$9C_tnYB(yS zqR-80T)jOi=_V}fp`$uoDf#R7P>r?^iO!LC11tTMAq_(_rZ5w0c=eQo)Y zlKq%@x&cE4vX@V0o_QgROO=*eoAyT0&eORr@qVBlv`<=wDW!@2w)_)d>%bn#oXN5l zVUnE6f$g%R(v|y-^|Mqno)aRM^ zd`vc}byPwn?CjW2*6-wwkZn%fQ;AmyfZaiRsY+kT4Z$oH;y}vgS3;%a=PjI$MMb|y z*SE8EBou)grASI$CZv6OXsN2_)a*yRc88YreLTM#nKBf=c(2;mRaG4RLd znGYFkRv)JOnCN4O#8VtdNF|*d_v_VSdKdvUcw15Ov6l3^hZbfovIoz41k~x(7c6OM z%3S9wr;QcTC<>{_m<8ajg+Y)rmgG`(G;N;ED6D{6Zh)qU&P+)Crr5x2?i}t3_0oY8 zhd)31F|xyNbnBu?h)Cp&a~=*xmVVrUdWcDPAM|zvfD7PyZ(vXoeYe17;Les-ZC@RR zngBvN{YsB)#uaz6q@POJ{rQl|2r(a1D%CgPY(pgKc$V4etU!OjG$`GBnkF?op^Is+iJfl zWRfVHXm(-pn2KOb7p&F(DU$%m)r zK7ptA_OviiGWOb4`)@mm{k+3$3FJ_1Q%$ysJZhAAz|~8uS9w+L2gDk53jQ} z4~&n7Dt;O5taJg=lkdbV8W;H#UH8I_D$b0SQ!8#BV=i?_A*lcttN+f^7k~4(zPb`D z5#1kOQOm~V0ZqAZw6;{?y~&3__LV4S`!P^a^hFyaa7)nUQ?>H5*VzXsabUIe6jDiM zcHz6sJ>J&K0wnNNH9|>8EmiwRB@}H%`fmq$J^f|y=`21kluXG7EoX`?z`L5ON+t@b z#ZE@Ax_vD?l4+Q0C)J098PSL&#r$^sjVi3Wv2VVlEzW;dvD0P>*G%eWaLH}7J!-zJ zzj4yhYLV~EOdO$C3=Hn}MkBltw*8u)hxw7dfv}2Cfv{^fx1f1=BMz*e6$8q#5Y{$W zKhWV{T{?FdZdWi$p=9;*`Phg83Z%PmDh#^}Pd&l474LL~7gLT%3)ufeM|+A+NGX5N zZjBNc$17Qmq>}j|KJZCc zVCS7Fr^DP62~NT@k&7}9AJ3PH3I3~K|BMy&aq!mm?X&~wDA+$_g`N7Vk;l6VYaRyn z9WF%)A$iIrY2FDXd72D)+W+hIbAQiObDgozUyOq6k*UyFq}GO++GqOnY~!!kG9qm~ zv`&{j%;~Q;oBlQ71{a&8@n;y+rFw+k*h4>FwI ze0XGQD3+|x42Dmi$O$Xtlj90|5Fr8z2(#9GJgK9B=x1xP?3AU96`vX-RTI{aAyV<7 zs|f19hHy2-IsXxig~ZH>UY@Qn)&uxZ808lIQA|JRhE$B4w}cQ!`hFnCcDU9YnKo+QXu%@o*UwYA;uBn30`fl+|MM#OS)mP-5q-amD?1r#N z(PFXZ0b)=3)_4D|Gp5@@CU5hHzZ@z_gHm7S(|?-;CGrioQeHWH@TU*vA%+$0+aC>w zb8$bJ{f?FQc)n|Hw@H5oTpS%)KB$rq_S)01(K-l-is1Z-ER~dR$v2F=x0<}xoX|?N zM8f+MQA+hGzu?Mij8Co zm}q+4*z>P)AZGNI)Dam4-)eHojqDzXHWyU zLN23qcWPt5(rq|2jCaua=RZBB?&GGs``{X!^F{-Rms@Bo%fyTPW8J+qZ*Xms{R72^ zSUb5VS|ooGaepYU-4FY-{Ty6hgvDWKC$zDlWz@{o+0UhF$0b1rS_sSc z3ks4)X}2L+Jys_zAg{<+xX%WRPtNl1+4)~6A;?7VN4DR2SKrkU@Oj1>z9_x%f8tQq z0>Vk|*L{6a5p`v`3>hrK!a0!6eYtC)v#-fNn19>jn#Dj{D!6ucc5Ld z>BT_{y|J&L&bP@m7qj$=aR!9S98)2e_8sXuOvby9@e-bBV;j6S>nah$Yy5`YTnF?YE4pE$S7O9E3*`^b0EwKWaY0 z5=pZXLN3b$@~6O4x*voiUR7>X%;w^GQ^9nj_V_UUoKL9=u5_)a$=$3v19dne%Dxy5 zSy5YI`MGw8c}fUC8Me{`YB*a?x$SRyEIsh%PY7qW3bp1TweviOVlep%nLQY%@#V3sG)2!r1fGe5;Yy&n_Y;IOW1#?$ z0UaiCvb%>3T}C%JxqPj?kjBsDJgiRf=59>68E!jg399g}NQ(;IjoXuv_H}9!Y)D7} zS;5zc_UnaFuKBksWHG)nfdW^=Df7#`bCvC|9KDqI!Rbvn$3b%&mB zC7siILq37OA@OgC*Qq&l0P3^7GiC;qX*4P93Mue1U<)lpP@qbbSyLWqUX16?YFUg_ zYe%A=g+BRIV~_ori`S!G01`F<1DCf^`#zJG2XBE;-5LTZ)rNjpUoim>_oThmdg9^x z9Hx%Eg|7j{#?}E(;QT$t+gsW+YeHe3d?C*xdD(#_sUrDUv{}YJaRlR$JkN6aeOKl` z$D=lK|1iriPek!I{`9x-t|q9glUFukBx+r#)4wb+6~8kEhhtngWSOo%n`tYz{TAET zn{Lk+`J!J2`GPZC`K9>=ibv`?BQr(JgH;VVS4EZo25|{2%o@>`xDK>RS z!Z1s9H}8H?yh*_q4{;Py-T!gne!l~pk$aCy%N?_%wH4?2-o(5r-?tR;POj)h)Rp6r zxBazdYeXXyMvjWMixiNHZmLujeH}wt!wV1TAQqv_gm)z0{zZ1xaL8);4Y>w8*TJPS zBLd^INNrjwJGmV!Dh`_owWXBO5El7Q>cBWoetPR=tuA@LPlG z4#=Ms^I}sx!RgR^D2(tehVb($dv3K4>4KJ}9k!AKW^pIB!~Mqz8zd80ms_-=7ag?lOf+!UZQF#?&VcOU0+1DL7|?_?nSlEuM?u?Gxs?yfb- zzrObw!?@)^@I{%KP$pz$5YnfeRt3LXs5e~dW%8d={vX{G%W)$K2wUYAblC08bJ6j3 z|Aw6XdQ<$oe>ExV`5&$PMit*z&S7_a zk7*BasUn~-1zVl-KmLew;Yv$!EuZmcEq%6?a~7j*PE!sLi^NFItTa!Fq)s5YQ7s4X zr{TldYN)a$dRRV-er~WasD&**RQrPca%ZSA&^H)sfUESmVO|cBgonN=zdD44-&dft zdEI`x%~ZdvUue9BT*<^^${Z0%6J6jyms$Y#>sb}f<9<`!Y(15pfkzQ46~VTF-wJPV zmnj@YTvZq>sH*+Ps0Z;$!IV|(Q&5Tg4AkF-z7ReC=>MV(2gFwg{f1 zZ<)*%a2co^$5=9D{Q+x%621R`JA)g-J@T+rg~fj?j$;U zGoTQW2IfC!AcrMV7-#3h-%(JN{fO|Mm?j6wL(sjJpa&OGg#x<7uzEcGz<=Y)Qmn3gU4Dtf-*{0Hka!5y-f(To@j1<@&H zMw5PZTGSaK`Ieb68}A2O4=vK9!B`|e!H(v9Ebfa&f*TwT=n z3c9Mf(#SMoBgBX$G!^8?h=X^Ayyz=BjlGRxw<1f9gdk+x!hGaj;!8@Lh*Pd-Nj~HF zW+g27c>{m9SY}!|{78mx(3cQr_A29;i&n|b&i|AwRW~qyRrDyviJl2BmlE@ zNu2LTp!NzN@!6g=vlly6UNPwK-J4eS`A#DCXV1A=gi|q}>j^B8k5E)N`$%Zj%<9`p z7`c;)DUc|;!CNPC@MMh2`d?2H&LKaJ4p4e4FGoiq&&5=X&rMR6Z<^P?XWiR<@RWFB z8g63m8m3w$TbuVKVIt%&$enP!gkI%Vw|6FoLKR=>hPGx8dk*zVk(;%kf%;(?>RrC(Y&}JI!^mkk>LlHO_rX1=09X{hf#J3Sn+UdehYI}% z`E5X?>#(Jf)SCefSGb)U4v=uAyZ$UjSinF$32G&+kv$-s4!}Oj4DxCmA>FxYckHbH z6b^YEa^H2o->$)Tm(6B`yt?dLPrnwNxjC&NTz9W0*PO}s z^HeR{{D5NjxpqQTFVus5Ox1vFJz|01nh$&~KMllC)}FP6=v+Z78n_Go67PCVU%96@ zcWY9=9c8`wXWITufcS{67(=)bZ?CZ4;G;77+w1z<^TovLl28N(rVe)?uCkT{7V#$!sUCgCN7e4csTcUul3` z^hx^btEb%|Np1z&G2{LegFn2ab6;AQ2ZNpaze2LJ9m$9O%o`q))&B{C8LL+!ErE|+ za(I8gUXnsccmU6bbYAen8M2Ks1b^5sd?Pn3d^tJCAA)TC+N|?Ob9={oR#@yG2&6=7pULd>UVG`OZa#oLXpVm2>(4rOmK_Yf zr#MQ6E2|FGPr}5Y)ww6#{QSxuMg5YxWJLHlnU#KF^Zh{9Z;fZ%8bWI{l(alw%$h=M zCTnd*!Ifpm4EpMtzl*_F}y5bDIq=oPl% zXw5_QfhnOvX?@THGsHM^DBVMSD%r$2PS=$Lu1%iM zio#`juO7%rkKM83~M=;E1JbM#0Z=M_ixkOxX*Ik-(2ck9Hj zBFx}NIeblGp+0PC#ipeH6!ICL111VJS5qI~VTZNbI8K!x77CzsZ)1r$b)hDKeiWC-TspI6 z$`?o9+SJJQB9Jyh5{|bR)}rQio9Xf3PG3B20Gp7g$k0v%Wi|pWq6HFy?U*Fo#;%K_kgRH)Wa0X%ar~~1*u2}SKFaH3&v>G z%W_pvmG8?jjM|JO61;XGpuS%yReHJt~sdGY+=tVN1AN{@Pu+yA!YksEkY8lx}E0YG)vo4;=p25 zH_1R1wnbq5%jcFf?_Bca?ZkXXh0$TFIug;w$8Ftjq8RwRCw=aL?``>>)S|Ev8@)Vg|NZt1M2OitmZAz|N;YGYa1Y;=$P;TS z3Vtmb=eF_vlhxF3ec+71osX~ngs2jcMRh!gadDp8^nQA-d}I^u#yMSfmmtmM_{er9 z1)1cX4FbkD0=5)wo8{j#|=Km zNtvE$ZvPHJq%C1JXmz1EA|_$DfEpGClPF$_59UVjs}4rL`2`#*mZZGlE${k5xiM`M zD=R42wJ_!L?;-bRO(~eEsh0@YR>bg$M8tq2GMDYka3#XBv||v*VZqT^$&L+O46mBT zpG7aviwRDNn|^c@VI`U{yPSj)uV~H@-M9VvrnVw`uc=ig87{mOw6CnV4~uTdjN7AR ziyG|alte*d6V_pwjwRdKV76l(XUA{Ike(Rr zeyBdn0e^c8+-g=62#JH>k2sDMCKcT0e`639JtgtUy44<_hD3P)v*wxn(j&2I z&MB&yy?zlLSl(pUNu&y?V&lorytugB;1Xsv`cxA$sOC?^0`l$MUi0cdkoui--Jrtc;c`xd!ysf>6_+03V z9@x9j-|fscD_hRO*x3=NR@@)HVrrI6lLUzD2)&}nI2 z$e5MQJA5!Iw*0%zWKj_+&9|JtnVydt(l=E-y_GdvR@E@o58SzhWd?HO01O^Y$x#h4 zh9NEjQJJL0rTGDdac&}{l!1ZdmtZ$wAT0SXLL512AT=3fY~atp4`k7&i^MUfcoWNP zGb?QkM{kcA&2x^$#h%TcMW)qXI#Q2x8s2}MyR%hCS&r?d?mD#XcXAe&mH2R|S7&l= zkH#K#*2>*RQJk=fDvq>VdcYc1@>%2HRh8(+QJQalc$M+#cy@x6P`J5*2AoKm9zo5? zixZm>*v#~;0BT65puyXc2-)a^iT9$nvT#zrDuL0b|$BW|XW!Nma zjWMOXFVT;ROx=xH=WKy189J1d)X-*4?qj9JA9G0)0qNw!q32g$K$a|KcNuk$$WmbU zE>-gL#XIzC?cD}xeY?~bI$TTqv|4b34T|OrFt1dut7jZk2`^ZWH~~kEvlhU?Ol3fQ z$AF8+HcNrn9_>aDusbr1p2;%Jl|lE#3dejWRjOxDhum!q=Pz zBU5*@*D|@}rZajYL6jHM+lz0n6i-Y;0!v$hr(FSdXu}PGxl!^FMqO?k4nvOX@?p6jx08bG(@+HS`k0eLaUF&5 z9Bg>}ibTcyf>}#S6iRUYL@VSR18IP*DnC(kSyEH<3=nep$aefHC-0E8Fo0-5+JVjJ z$1{P<_+<76vSl-aeB{ibs2K+K83t%pa1(;A83XtwTYft9b%DAFGYyNQFFs4!jbsM| z8a*xS8`sou*vhbopB1kw{Z^>`Z9y8?SZpgaH@fPoOV!AYMj%@56YrXWWhzIkZOS;wD! z#nNjfub{T%2M2G+MxibjLGUIhw=vQ}y!r2$EOVQ;cpBHlCh2H{RH(qj?3JaRTC!Q|{;lj_CyKq5O|@dj6y1au z_PO8bd!8soni?yIte^1t_>bxMCp?_bB<)`rS|wq`#KMuPtp@0FoJrhI&-y9P4G7MC z?pw|c&hLvX{hD;3_HCSdJrI1hxqOVQ8kYMd7k)=HS+Pg&Y5jdaTS0i(T3Ga?38Cbx zkmy2xey0zcl1K~LM4gz_;L??p1_xMvV>lGe?)9M2?rO0?0yfEhaJW`l)$x0TgSTxS9b*$5fAWLd4szd9cEx(E5zIsR7KR{WH;KL#Tnxo zR5%^-e^&~yhqOc0~<%m}L1`5GkRY0MSD1q2m z+QfIr`Et5kZ3Q-D0erFX*_mpZe`>}pKxN~umf3dl6IYMTf9gm0pF*>V0--&j8_sa4`envBALxAaGpS=5Wr z*QHH}mes<55Dsq017##z{4UJ{(k&kkZ`yK_gy^d#YA~UkG(Uv35U1ZI!5xI{AU*HVLO}2bwi2X*b zRxyFZ(cIgvv8hds2$P{6i1FbBBZmk- zJ4}xcjh17+X<<4u>8c)m^Yh`1Qi0ifYkn=q+8A4`x`xJva{rVY(V0VaP|~#cR63I` zdpd>14|~o2J5{!ZO;Pw+A+2x?G@R~DZ8Dzg=3!^y3J`^vGrzs0WPYRMgr;z~Vh0#Z z<~`25x3K>{!5JkKdD`Ggmdujl#MUP>;_K_U7Jdj}wyhAaKh{|8bIUo>f*8zF7)AMD z-zvmPfF47fhb>wa*8_oQRDB!*wCDYM&B%fVXX-lj@c3z?ZP1!kP&&mt`kbLRquj9C z3lK<}iXpzTCdDl0IFt=i^RUX+l6Qz(UNZ-KcUFHsYPcjF1)iK3&8EYnh#G(Q=fz^G zk6sBFm=EU3_foUHcy>dOiv$28nm`my;Jyg}UT1aY&6u7E z;*|#G;W2j2TRf6xRDycWLfeh9}>oIuX z`+Np*vAC9Exzw$$t}1+Qs-^F|Fn{HO;f+fKc59)vvM6`!Z|L)xW43P0&)xpm2Hsr5 z#{4kql)8Is1XR+p$1606Fa~q}r#5A?Ii%sy@ZVZ4X|XVBsAC~n$G+rCG^L}~Jzih= z-y%*XCGV`tU0YG-Hkv>-CPLVhx-HV*>kG&T8MUoY={bYUe45W95JzmHb&4wo&YHK( ze$2~EO*t2okGnMnLoZbk6I6=PR4L*(w>UPt@QSw(3Ea@l6XoTTi8H}{`-{*HS$p$i*uH**E}Lorb!JGv zR>yW?Q>z27{C!NJ`x@5t8fq1el8b;e?9bn{Apa2vb#3($Wpu(*jTw2q|KEU@rzTy` z5PG>&%krXmpz2YAKS-!*m)SuB;36VoYzo>IF1nl^7J8xa^KPi&*w(;YDDa^yYD~U@ z{_NBC2UYY)!Rai)y^gbc{VD+255&DQoV0__F&@%w_uY`|r`gwRXTVAxyA|CKNSo@k z(y?Aa7Y%f?i5+tvPEpsP(2F;Xp4`rdZ1L(0dvAkr>Qbbdw|?(D&$HNPoKGg{xqCn$ z8*FGK1UwWs=%?E~GCallrb9bflCA4X3Z_9>r5CLWI?JK_9M;vjsPPy&{E|Z8XFRPs zBAa%3~k*nOX6K0r_XRJiMztU94uizj%(7$ zM`nDiv%|Gkce`>@v2owyd@_e}bAY0eh_JJDXP{*y=OhLXOv9kZMuK&f7};fwFuB&Vnmv{E7v`v-q$D=G$P4e9n6 z0(Nxxcj21F9SP{MsBKo$`l%Gg0EstAD`U+=Hr>VkYsMrzPwfX#@3a@ruzCVEc8>ra z)q#sFPEgn|VHeN!h*dEzJUjftkwoKX@e~!+O3NISa!@G%GRBY5L_VjNO($Q1BQ^nK@ws4uB73m zk@iVEG8iJAL!w{(1NQJ{TYk=w-PlF{ia8(A6{6=W4Qbd&&}m8EgRQEo^@8{G3xXAz zJ10V#knb`Q>Bh^l7czA|e}A>+fhV$qP=B?@@(CtiE1*dG~RZKEx9D#g0RVC_(i-a_^~plDWe_;~6#fk>yp z%%Y}gjtb0(b}-PC&gPavzk13Bi5=Z?+7Q2bVr6}U=hPSa)t6Phx&BRP1`M{jBC&Rh z%i!H3re8bRh8jnw58nJew;^*$hh)ZGPaM zYTC%{OodK(U8^APsofaa*<~IB<(w4Ybr-k-;CKSbG@vN!4^`V$@ga%0`SjNtF)8-4 z*s?bc7g&NITK9MCcMAthjKHpT1s)Wv!5bNyecg@m=ko;2l^>RMs$bx?$2gza0^ca3 zJp+x}h93o4cLcu)k<9_w1C=8mjd5d*&t{THi`Tpao-WzAb(OlY4~nKti-6xlzz$`r z18Ck(KwdsK#QH2>&Qk+Igw;29M{ROP3*j`!Y^cjoGB>&p2Oo*d>1M8{K?0D(W9C`_ z-VhOby%G@|hmU)EbCjle$3OqOQ8i}M*gdDE5RF$3jNDWY5J!-d66r0g+5Ycxb;bfk zo)B&{8IL+Lw8G&0>pls)8(Sn(d&7wYsChhlp{3F&I*ANK8krg6hb#-`e2nPCGmt>L zfV{^1bqheOlD_N7N1gnk)>-dc4~XKI%Dw-oubzq~+6KBs&yC$1bnZH{30hnIc5{En z-0j8cMfc%sg)veR!BXJ3_Ltyfn@O8znf$%-4=rA5c{LlWVm0@N6jd5nSH~C?+lKI5 zX7k(}WngW}xuSPxAu(8=r4{mlAL=5=*lC=qF&WA1v#~-U_jEr&odQQ|U7fl& z(k?96Fv5ynP3%$49i{nBE6P5R&5@u%=}TkReRCE^VWc%TOhZLDeDR=h$wvc)lq%`r z?u?-dj2LL7K!p&yT!y{$U1~YND{F$9bE)50hTpgOsgYk}HKJM*yLs`!x)julVsUI^ zZ7cbrVbgh;K!8E9zyyVR+`?Gb#YSr{KD~!=^WeS>FfdqvL0S5d5%&mgDZx|HkIDCO zd_0@L^jz-Wljp8`_;FnZk+a5J&(geTu%tp zwHlrG_`!dcF`Xi?`>Hm8X^(<^Hh+_e?gHxP#Yt1b;?3P~B)R?>uUjzlWcI8Mnx(7Au36E;?#)OX;wcsarp^U8WiQI*I$Oj2BN>(n(VOc?e~1Ik z=$H<1GqV45N~0)Oo*uZv3Qd9tGl&Dyh$>0QY9b?Pjefv6;82PA+CU;tOJPzSG`f*t0Rj%Y9}~`3NLUrfooswgw04mQa5#Mb zyQjS=>u=#4o*^oTobfXa-oFRC9lo>lzw+8|iT@Q%*}L-EdYJ!j@!7)qvcatLbs>Xp^@5sO*}`b=%hZzfN`!Uc5VHIUWjkAZq- zko*(O{e>JHqS7}NEg)>`y0LeQp~&K;N%bdI&k^h`A-PCD|D8h3d8d73`1XtMGM7mH zmNd3r2*_k13m_t4TG)`Y5ShH&DEU%h(P4AFJhuV?^W}`wiX@tf{uzq*^EPnSk$*y2 z>Cjn|R|BjF5clgM6lRifq9q&>;F!?&#GmL2;5V5p^`WJKV&0VxXbZ4sE_;6?GUEx7)yYeX#Awx`x?F`EaclI)`Gk=Z4sAxr^7 zg9abJsR1tDWZyJ`!Zv@OTtD+tbFk#nh$Eb*Rw@Ne8AX?>KtA%sBR)t=cumke*pe}k zT&N>q({x|H8pFwTVF zoTBZLh&8YtUl2d`ntukzY^#1TJFb#1q(IUJ#F)HU9M0)f@^`=eOjU3opr>bUmwkl0 zu=G7d(#>}-(h=6qiakwNA6HmQN!_M;`{y|N-8IP4{QPy6*M~n56cnKe0j9E&z>QgE z5)k`X4}eXDI)zahOugv6;cZ1{Yef@tiL~tZjeT+06%yG*z*0&fGfGped3ah-ZTBTJ zMiCnIX!3S9{k3A!@y|!JMZ~WK8I|{dt@qpOpp+nb`uclLj0cha!_ADMXXAgT-hZ(- zZ)v~5>KvurMa*usOB&Kf@crTVD}jn``S>f`j%PKN%30P9$9%s6_;i4Z$rVo2MQ8BAa2kd1Vbms?uf|( zo`Vx|U;Osh=}CO1hB+)u?AmxFrXrDjU{XeoHc8n9RDz6uSYVBlee?jwj%w$GsH3tO z+6UBdQtVCc(3uCh+gxoCtVxg9$r?r-F4+p7ix%qv4Ohb;=RO1XOYN7%QsMUKjYI8R zw1fQb<@7(PZO54R@lK%cL_IM-9uJprhnz*40(i@n6w7V~d3qdo+v0*jLGgtW>HcT= zn^?HQ4#BLq@mHeu~z3--()`yjow0N9|A z5DrkidlroGr|qNS)Pt>XHVpg#o7s;e_dFSVh*8T$Rj~Kw&$Vr%i%@qSH)Q(MBz$V^ zdED&HT6ES2oMYY*&*GWULqw$oI6L8MA(#SiW2K9^-o_jgL$w~Gc12{_m*(6H7w>9? zZT3hD0{2SGXXo5&W6>zRjrLJ{K^W8`PhA2%TMXmdyNyI1+>ZpyS%!4V*yC9dVCG`k2_|caA&t>Xa z*Z-mp_n{ylD!E3XbDtR1XhhYf1_YAL;< zP2$3{hMX*tK~mT1-#jmVif(x4CnD}jVg^}49etq%eWM7nALda1bo-+5HcsBlRM%Jx zu$EoDuMk!C;Dd+-g*s3}8BjTP8`w0!T3Kv*S5x*Xxey;8v<1rYW}rdugof&n(ffr+|%*;1E=IO59;7KaMQx51}&?kTy%7uV^S4l}Fx*kcI8EAba7zXdFKLsxZ(kIFcRGM)`&u)2&N(gntXKU%zYMn$K`? zXk!~{aA#@r^R48lLVH5EAf~3{1FIXCEUt4G zyEF5jbbp*wJrjCdoA9n(4fP5Y#|3XHQPsSTw)I|_@W`(`lvhM z&~ZXuyy*nlu$|5n^N)*6%W)_U?fy1q2ONEgpj01x z@qJV*rZaY+fZ&-3D4-?nIjb|nf{bUB?99^9nBcHSu;)^nFJc;4=Dbxj6zl61RKm1+ z&Wyh6Ih1mgaaBnZbqk^nWJL4p7lbT@;xsMdmL%%>B%pdJ?c5swVP+=wE)fag+MHZ= zH;|Vh`_W>U#Pg3fanDeMjltKR9*F}oyVGSQ&{k>KpX6bUnbDEw*@S=o!>f^?)}=GK z$J2MM&doasirsq)Bl{h0;5*#KLPvYs{rYNbrRRFGSnagc8@33ENaFkFGLwB_*7|?9 zMwd8HT*?q_8Fw+LIQuNwBUdyRfCT70x9Zm1J_{ zfW6>49=p&xC~7>CPNOC-8e{6td`2=;$Pa9gy@O_10T9x-6n>Kv+8Nb1LBy zB^@^u8jpfg$y5oloWh21v_zZ-JDbnE!JXo}xzj~}L5S|Ju#r<9ol^tu<3~ zMK>hmYk_wIxzRSM%60<_pqz37g(mF=CV!!OV3tD;;M)R^@Ot5 zc~iBN*=OYjUZR%h1r=XjM8$;$Qmch+0L98+`n0ZhFv$K5gCK(PW36vFu+FfH^DN5x?( zdjQ%dd~5PH@r7xD9BHTcJ4RD>@xBdkM>qsta9cn9w2eyMN&LOz4Y}k{8DW=~fkQo; zKiTSSJr4IB&j09lF))8acaS4;bv3|a2(NiY8o8o6XzkYqnN5`B+5wsD7#U360R@*W zg|6PtQ@~qQ1V8njkvZ1uA-aAZX97e&8MQGQ=4|@(V^h^V*{ZV}B(FvT0EwtAqd9qw;Wm-T?FW!4j=a*^v_&`$JdPcgni}W+88TC_Y02y5aY|`Ga z%Ve=Wzqv6DKPghY1%9}p3GeQVBRFo@J0lrq_CXb|+6cvKfB8aGo$4DZ6xhxU_E%DO zkMcxkkCaX1&n<7#-V!ve;f1e?`SBkwBR_NxUQYyZS?(|vgk)lNbvh2F?TxT=HT)Xa z=u;{WzFJ4&raf=1+Dxn`|LoYF+o=-`T3EYk;dd76Yy6z$zLyGshe8l~98#1-?#^_& zzZzjG?s$mk2pu~ncHfEnTW)oP!2>ZQ>z^FufBzS}a;G63!0!}?O2Q3U{|UCMgoW|y zCJg?Nk-?8x*@PoEUm>w!6NKn>joy&DgbxK7b`i|B-V;iQQ22<2nCTEAyVKqY&xR+X zW*|*xD3(cn6SP1Aaw|6vBA)l!k)FLq5}ENr-Q3)7cjr=LJOGAWSR#j0kJGWbTrd;} zW#MIIUx3tNr8?=MD9tEZ(JG8`J7CF%9|!pkt^<=Z{jGNDgr(;#*k@?9loCx@Ftj*I zU-;LO1(WX`Mf4S^d4IJf7MpQ$jk7f%7$Jl0R-=;^T9l7;T|Cm^$ca{=LuYLub_@*0 zviIDm(R4aqkh5Pk9No1fCu(iJI8)K2HB1u{H;`hGOA;y%Fef2s?gmi(I zaLm*h{p8zUBgODP>Ty-*&l)L*>|2oP}aP`JIjJTL|#+6;Veg4cxS z$XT%)bR6%f?D&!ZoOt^_ob`noH0vSrBhV5JR8Qj?1M>ZATVa`r=eOtTd+$2)HzfO9 zJ6&Gv|JG5eoKE0_b$&4JZ!xhp20-@^Uc(08-oiEXAS#fvTj&6?iMJPW=7hMmQbg?*TU?R2%t?;aU!{y4gm#y4m`W9oE9r4AaFG&VOn7bItHt zr^w#9|Mx=Uxu1=Vj85^ojv=wE~{1nWyg;6ubs`m|s8ja0b7N`UuKQR-aI z`(w`VzUIe^s!XGl3D!Sr|0xN?=3L^lE07x>%)htfwo+S*u%kM2lvEDJasPa-mNWbH?p5%N61 z1V0N97V?48QkENa8J4z13-E%F1D^v8o`ABdt}S$D0jqeS>fxITivOs;L&he^4sxfI z)j}7C3E~4|{brd~x8|jUs;nP(?oUUM_NiL`euB8JMx|3Bct!-fgCZrKVVQg(xu^TF z$46Qmy=E4$x^Rj25beo$37_SYl^Kb)t*Vi|5d1ju80Wm7Uvmq``L(J*_BpO8Bl&1O zNK#JjjOp=4+N}5CE3QK34l*GEW-_lr5SKGnl=+$GGnrhN1}oP1%;{FJ~U zDd^xL8+$)i4Z36qXs*xx@yaV^D604%=1xcWK zCM$buNH6ZaGu2Jww>{(PlL@YisE+}CRPxa&N-6WobJ#&$XO_(y1aY{0;Ewg7->9eq?t%6X#(L zO>U>{XCUTgLJx-QiHW~vP{@^9tywn5FxhioU0>j@&3u4qat-=hY-*yYc8 zNL3PBxLzpSjHg3$nZ_k(Cyu{mrm~0@L;Y@>uLzk) z3HdOsH{#2(aigQxq8haua<9tqJ1dOhgTtB+_m^#zCB%g9q46MjlejguX_G7B%Y816 zF0DFDy+#CG4l!O`y3CT6es#?0u0{;T7fJii_Rkqa+8@^Y9m4V9td_;G9SL&6#fi`B zkXh+!hd+;{K?%r5(<-{xg}&`xA+i)kU65CpwW*XJ!Rx7J$lv`{zCM^P zCQ=5cBK1XHu-)!r9?|B>@W_47wY#J^)o+Q-b`D}QE)Iu#oovDT!y z!c{XgR&fHK%=_|SS)x>d&d=Z1tl{W<)SyMlzXe&UcZR`-rqqUAY{Zw}( zLs$?^AaO!iO<3CT2s@40pMGMVBAYN{!zce}Ji#Cd3BMU2Ja2FM?o?voRO#O*z-Zd9 zhZVKOh1xSJZ18;XX`d8nQ~6Dz*2xfl6KvTVBP=f4i6Hu2)S7m_Fg1S+7~~Fh5+esl z3{Dizp>2sm)FHY@qwNZxIo@~1a;uuq;IY{vAu;O&_U6-$)CT;SoSXZCXZkB2xn4N4 zL-p=jX}*53ndMqI)5bZ+L9Lj-VXeI^sm1a;)i?pfz!)52dzPBMx~*(C1iDTpMnC#*#XKCNK4{_(@N|K;l%Kny)~gf6Taa2OFl>wghKY9Mg+Pibq* zcl`cwVlhqT$7c<>_Fvt#^a#CfqQ03tjpn?J-W(|h5z-3jN8y=X%dWg|7R*=r>|iLXG( zpGah^L#Iv7$bp9~7R-`U_c9j?jm1lOuWaXs%Dx&AQ)&rEH8ZVgR1ytoqgIn9fhUwiXEQl*&r zTgOr@1pofbXwqztr*y+vUyCl!S-jToORc{_v6-~W-Et=D6r zz0fN4z~JTGV=1ubKr2{yeeP2YQ~Nc8%bJbA$e!xX986!vQ+Umv?iz}YzxM3_l~w0Z zSmOKcTDb87yPB;y*donKpue6e#ME9+A}ALCmi2gWf-?#qk2VPHs7&Hg{`N@FIHrI| z?Mc&;VM~a(d9jw!iVfjsy`_e&hFi;g^-7n!fT0Q9N#saZH54)4%~+n=?uOe{1*lGN$Q5O*RI&1s3k=uKT)pj# z4$@w6+_!6F_#kR=r7SRv{II_bqYu@z80NuJk!#5865rVT;)&gO^z4F~?(5{my*YzC zZpxDi(%vuK)DwcSr~D8lY1?U~#Vl@w&e4y&^5HQT?j>uhJRngxPVXff{mkMEzIEl9 z6q{E>RA;Qt@6|O&@=FO0iJn)(nec;4>k!q^0q3HmmcYG+$#B*nmN0+D3t+#pGkifw z$!srVImU42$s{^SoIHr7&86AY#4=9Y8xHt8Ox;ub88q|sFK&bKi-O@1YmZpq6;0re z^~+e#%}pWMX`y?Ar(5Iq+nayOtb6kQ|6Wu7{b?1x%;a%`H&q}_2osm!{>TwQ0@yL8zHg&}<|7B_O%Vk?$G1Q^>0oJAl0+Co zuIYn|UChZ##!@Rh^M&&3xKh>P&1Uvh(|mv6T3ik-F*SQuRIKP>2a- zrws1weXi9if){Pwz?!5pzpp0i))BeYd5@m zY4173bJ5)b%^RwywP$jd)kuC^H+BZU9?-hEfA3V zwQFMG-NApCg8aQlDVEf1j?=qDI7z)tq`ZLqb9;GEPC@L$;1%3ugjvM z*X=2U7=oa@!F>Wx{B1Q>`i@0vF*g7bZG@te*_KxjADiTs{kL3eo>8T9m=&~DXlkvw zluk4TDhvg-xLhvdZ6}&TWzHn9kYNu$8W}EV`A<7KiVpykiiT!c^;_sb+7LYv(V4Z;& z)jzUCZspa$J|7sr=Ye4D=CBIL^MRERL0*P>Zgi`X4@%vvRUDxJMwBm zshM|;*;fqup&*KIr)(xy+$W?<7MKGXVlA_L=CMowI>%Ke#+;k`t)P8Xp=w-bxEE@y zm9KT1Y{`_d!gKLmar#*wr$pNF%5|*{SdM7Z(G9+Ln%4+a6dW?h9!b>+BM%bW@ePyv z0uPynl06eDPK>0>5$#s*B_AV7kR8f61H9v7u!=6UhRv;w6Rz!OyS^}2pL~OYM#60G zCKB=yqJ96@w78`C_|a$KODuZ$xj*tlUT_{`#ToGauUiX-ED7!ZojkT!XjHzNVn``U z6cq|3KV${T8=PLWq7po!5in*oE)%%@uf(AOh0>%R22KZe1Y7uC6$!Kl_7Ye5MuXG9SM?0>$ZeRM{Rc|8I z?{LWqy0_$@4|k&}256TUum3p19eNF2lyK!}as}(as4VvNvb&JX-F>?YA3+Xh{nfxK zp~4PTx|z6EW`?B-&2`Ev;}!o96TZ?k3P$nmO5LFd^v5S2{SiKo zr;0L@RSAK_Y&yW-|3*1u4pi=aO=T%U<2x-PpX22A6P`cq}TruD&2NlJ?BXS&L^DYbxgb4<%Gko+U`Ft zpqDTmg0*aLG?ijlKNJnRFsc)NC@ta=X?&ncH2!qTm^Gd|@pLTnBrGg9(L@Wea@9pt zHY^f-w3VZh6}ui>VAXNTbGz<`1^PS<_Zt&joF@dlWd{nT-Rd(}c8S-BEv-|Kga&-M z{7DQDG>b9PHYf?+gCj+-0y=R}3teH|RI|u_f$;XB+@8d4LqcE3cbZtkME`kD?~Zoi zKueCr5Ko^#aR@iDlZ8VPNy0HuDq2Jm6+LQcCBf>NzXe!DVu}Qm?m6?{^ON}O%JlKd z#dUdg(;RP{8gB4~dFyF_M5l>Zw*N4P#~jfes$&s3whp(9Vy%NQvoGoZS{#ogNU`MyYv_DE#?VQ-Qb@H5NNg z%O{$$IOZkPUJbdjGXP^>tx0-bsR_i3epNZtFfG+M421~CWS*yGR7|C@$xvyoB}BlT z)+7nIL47Ex`#iNs5P?l>A-GDkgs6u4nQ#6a5zyYAqfFv|1iwXqYG- zAzrp5)HfL>YrZdG^hzmPp^h-k-to45FJKTX$DRLmrKUG>XXYN4Z|Y8NXuzMmFB4a? z{sH~aum*_r4LT4oBFgi8emSS~E1aLxUcf>JzDEKIkyAW6phT!Lj=B zxptqa=rocs(j69tZDStsT)2=#6DC8O!wp&@wGDA=l}yxGTFG6F@^he%qWtP$O)h$` zJ}JDWA>JMU->S(l&v``hPI|>X!+nUIVonkM8Uc4#$D8I2Tv6Jyq?R~9q^I-U_d96! zdt|E!_f84ZpPDTIovI!Pj>_HB=ZX~Qx zNQW)p3jA5~4ygigs@1`#{nPIC5ZmmKiP1TW7~Uy=Lvzt5PY#Ulb0$nBblRV7ky*7_ zg*lPRyjgE0vAh}&k;^JuS$wwc#{rH@_wC z7NX%QQqoFxi%C4H7>jWq+PrcFp?+5rRUuFHEkGg|e5R<~>B`GmM&pGz#CnlP`_64g zv$Bo3B`d}}|^_NYrsHT!ALa^EKyig3e&NuW7)mx8*J{I-zj3G^Z5%`zet%U1hQU7cAy5&)0F@W&C z<0!%`0fAOyCG`FDKDKZ#b0c?);^ZqA6C_qPAyeV{@hqq3UXWV?*8)M897$$Goz=l_ zQ!iaysaZjz7=NodQ%-I^<`C=|Awa)Ujl?Pej)5ot70ROfD;A@<_p-kpbi-WYOzD77 zkkn5je)XVG^);99wWJIcQKt*I9@3h$5O)LN55BGVAF6+=ede3ey(7>~`TDx??oaf5 z5cp=9$yF`M3~rM9+d1JlZO&$F3W=tqR`~n>$diF|@x&4ygR2ZcjBv61tH1UaE9ln4 znFlWNBOvrw$#tppY4#LIO4JRmCY07@N)E_rLH5vcayI-1zg3@U zvA$+u(RgWLq2AGpg@P_Yyzw#28AI4gzMr5!@mqL$3(mfBA$zpeq6{rHlKQk6rC2rfma;wM@tl9=;Iup{4JYXK;RNUEchv3E&cXy_vVg_5TRJo+c1&9XJPn)CiK6{G*nP1l~XJ7~>?v4UjQ}zGPvF(FEYa6yU_C0zdiFE=}LpPCp(YQ9|Tw49R-w^>K#!nG)TrDFX zgUU72guG?YK~O=EZN)=I`F2we6X+)ndn_nfG^JOoP%<8MYZbs+X3=28g38oDvB6E$ zLNouRXN)-j>{(T$<+Q;H=QnnOf2U?*2@qKiHlEts5Jhqo&049jwKrclWeA)t;lnzD zoESgKISLhm*;M0gIxY29lv^= z#lYaxU%J<%MvA`i`bf9!y+V;M$v1x_v^k|ZnDYPL@CHDe{ra>x#wcCPFfxgYO8OZW zfaVM6*~jQicP^ADkGlUoldsv%s?YB=H$z4A2NCEJnotrgOe8D8)e&{7^XV=06lWJ{8N&w#p;GY) z?+n#B3@2-!tb-SpF;WzBUis$KLg>BWje66FNraUfwg{A^KnhJ}hEUsmS1Hxty%x+F z!NhK@-eYt_-g0Eb;vbkeL52)b!P06D(5qoyx9yUc{2eq{re@S8`Q#NU9Cq5egmBsH z*r7+mFhcM{d#etH<>Ze0$vpnIFvzPieUhWR*BHRLTMgMod#)8UG^h*CIzB=;B!q#O zJ3vYD-e8#Uh50m$zu|l1A40Ls{nYf@r4xU}`Ndi8kc3fwQoT+${Y0TC$_xF@D<$=k zj0k0_Q0e3${1+rgidJP9QIWF6QkUs3UY*7};7@X@g6fY@&vclYTu~iBs9?k#n4XjK zEyGmn^yeSzG7b8=WnGa@WvIKMu)Oeq5hHpjg`()oMnj9Q8)h=!W`AV3p*o6^K)rRm z>1Kh(f$GIzfVjb3?v1%p-8<1DeFt`^6M;MG<^b z+}P{36ub|Ytwdcrrv~deKH8*8{?cp4gX)*;xm0b$H8()7gW8v~sY_Z+2f9;AnY>5% zHmiI%01C73n-hT%g(PM;^2hBjCR{s_o7ysXwv!a-m1!?O_hj|lit0^Vm0c|eClGIQ zhL;e|w+OkKv!h9yyPQNwcTw%x#o&J#Wo#f|N;`Ysc_4I@8gP`lDE>X*Bhq_g#oIIB zbSZ$zaJ$RrL#|ZVcjWlG=y=&MzLG^7C-U|%(DJqA|0zTb3Pb~LXr-M-sxR)wjQ4Cu znD8nK^>288Ogjo)h|)tPUV!O=+MF5_N$P*KsKHtA(vs`i>vhmQG;xK-8ABTGqYs9* zeGLRBYw^k9y;yirBgh6kR*7c1EG)apfa@f6D3~(BqBD7wAGRU7&N2ebSI9}HYB(dc`zq{j1P+ka}!z}i+!)S=U8+X8;uHmuoXS{eF- zEZAJZ;B`s9{}-M)up@&+qH5*E4wr_Cl9b1hWE=RBP%4y{)M}E%0CJSkQE~rF7xKM_(v+L;ZqP zOiD*4h&)&q>%76+(^cTGMhU!06CFg5rWkdY2y_%tg=COul?b+=!nb6?J89Mg4AI2L z+XqFg_^7*`iLQ4_!?Bt-W6(-LspCB{7kGX1+h}<+6>j1bYJ}>>%6nT_7w4er7#gtKK-Tai7F*qFYN5A?q2#c!t@CQ z;LJK(o5{NA>z_)-N+U(f=|E~jLupe^GK0Mv=d;HcK$SNelCv2e2~+Q6UR{+q-t^Rk z2ElgOGJzq0OfX9AnFG<5(*E=sj8dqV$o%`b0@^9O4z z0VnU9SB`a%ptZdLWSEcPRbwbcc|V7B7ETVwsg1}A!Mm!0F3|fVKBV?fwmgS=9H0|@ z>i9+CX!H23v1U2(N!yF`hemPc)+?JYUDb~QC+|$gT2#Fy+iAen4`U|+NZdnxW=K5a zPdVe7;-u&_ZpHpk@y?Dv?eo^IoAT~Pfer;4=l;c0EA%eEdl}vVX&RTf~E1 z&v@e=_hU;}5055w_ddK=B8g;MPx-K0A6CfsLDMc6WGSEDevPY)`!#{js~g>uD~e6e zF%U6=UOj&jz6v5kuZLoR0vY1n|BnSFEUoyIX^ z?W`cnzhO?RcgWoRa^`n%vM#3fADFQbeKq#s|T63d3VA{ET4C0ti3*U z;lM5kguHDcEitR!&&^VnHQ-8P0Zv(S|0ECtEO67`Q-OfnHx3MWZ0g3jYub0bb@iPd z*NJ(9bK=D%pc{U$NAS;mP)*mX2gS4o)Y?mpOBNq|k?~Bt@_FJ_==}lX4tnE)%BAWd znaU#?y2W}B@XjID>>8ch^1~(0M(1>@*fYL^J278=trZ1-)P(2%5ul#>LDVO7@9B4k z-QPc0_*TSlFLC|nMA;NB5(U}Q7|VTOBl#?2O|8$L_PHqkG)^(pK}h z3F7qGub>OOvL{zqOE4WTrDTQov@mDETi%+=lw;4XBt3XrFL ziKY6u7ptcQg1rC(;kF;B0P9BR31Q8|%?w*+Bi8=8!6h*jFCD9Wwt^V=@O{c1pO0b! zpPZOEt{-&v)zha$2ykKKRFfioI-)##kVekTL+|=0-K{Rpk^uaCb@+v#vh!!V`kFxK z?P$J=4f?}RC@}SjT`MZu2hH|VOAh>A>4$w{aQNg=O+Hoc|A#Vn?CgJ}Yc8&8FC}h9{D0?69kBLKzqXhTe9`XL^!$D+e5}a3n5) zLI1LBB$gOesrP;I3D_=9-zTx8uR1&|=fmyU_l~5{zXH~0?f3hzg|4I#;Fyt_6XdTj zL@*g>weE@#5pm}xE=*sMFHr{GFRyHDs?g{&*bcl1ak|0Yot(8O=b|E6kui&qF1&VZ z?l(?9WE}g^DyTkm?D>$NB^?NPb7F={nFx>lm#yb6i+y5{)adI@Tf8=0ecZG7DNB) zZ42>=SF`iSZpl#2jaS9PKK5n)X{yXeuOe62tCFaWKToQ|8>jYvVCt_PFG27+{A?8( zhU7id8Qhle*@X9o2`MG<o_|z2d;}HW`$|(1;8g)@MkVcI2XZ^jq;1417?z4|UROA6Wpb1Pg-cbRu9ID_VXJy=tQaQmnrObrP>kdS@4 z|5{opOWXx98I{(u>6w?Fn-#jvAXsP=8qUtNr*Mj{3-T4sd=Bvs?t8SJH@Ud-6TWj!mINxFH>%5;8R*LaYqL-s@JtF+2O%ULaohIouOAxa4taf9 z21(pWl@YH+6m&@CTzop)X5gpsl{dv7xdP9lpK!i#ka`d{DQ0=) z4+MZ&b!BbQKMv6nGq79bCQ&aA&G7S{Owk8A6QC`uLIgzlliHk&4rDQ=FL%Cn9btEr zq$Hnvuv;PUI1h-QAvhm_D+~Sh3^3{{Dx#_;swQ!M$UdWCxD*@EaY(3`;QURE9K|g~ z6MD{RP*ynMo-Yut0;CO|KwSIq^I5srS(J$__3b+SDKXJfo613zZDP!U}CC1dTjtgYsSNM8TSRrZl&RjB&<;;oKZr z&bk9hwir;dsX&U5j*gOY>7)ORe1LS3tOqqge?WOkl`Zrn)Fi^qI3~!KCO3mTe$YRs zb`6O|H5z!VA~N-9K12;wqYLK#v_PmPS!Cc$qL@hNR72S5h%`*Ew)o!}sc=KY`UYz*e|*msh{53&3q!hbAZ8W5Ti?^ z8F{Tye35J;fN8c!k3k2{k$fz_u%#~%SGvD0gNNK^P3otOsS)q z-(+@^XMb^W?f#~J5-c7sLigtY%kPizkMUfnLbHDtO(9EPw}Y(4bW2b^ zUO~6lu1AQD?g=Eov?;U_8Kb@WLh$Pfy*@^vg1zz-mP7wC=*`9ErPz-Wl_&oc9Z8Wi z!9CgI7S67J?FO3pu|$|rJgi;$Lm}KJCep8iiNoB=+w&Z!9K^}D?z2JeOdr1GT(ZOW z78eCuNeQc;b=@JFd*g(eiA9D~BWZgn(yeZcYzT_=8-vH)Y39_c7}A;Ku^Ox!Rdb&3 z5=W48mYbP>TTmZPM0^QghT5@8#t2WH@#lJc?%6M?oJK_0}fPWfsY^~9PR`t5o z_zTDMCh#LH;dacDy5>Rxt z3B8!!hQy><4iSUM04Wh9k>~n8h*8|(Rhfq68PR#5d*dJGV+>1$b)kXta#a*|lLZP@ zhQK4~Ot$oE5aSspMCgR4t$kGYj-cUDX3iq`56%lsowaEHn1E-n2$FB*h&sM`wJ1?F zmvL2Qh+(w?tT4Z(NuJp;-$t%>Y?PW!CMxHXo^v34+>W|F=|Eztfs>#|Hbe zUHSs3Dn+bCTR%)vySo^0o8xtj0Ho>8Y>ZqBL>91%Tm6`>=L=h5nD5;@i3WNpBYGqw zwPl=2@|s8&@lxs)(YdY|FIe}=L~}jugyB+Xy<>)>@hrF!K^{)owl_Dp9Q@O5H6!%stRw+X~nNt@C@x`AmJ`k{HZ22j)te zgsXLm!}3DY6EF3w`i*sxTXzMU- zD_N1$-bM-pthN>_&Lng+Kx@-$*m_M^UFn-%6+%LhDxIPC)hUG~xsMf{_meWM3HKXF zrm4l2+56r8bcXh%R1N+|%9y^8BO9SG_B+d3fk;Hvsi?}(0SjoYX$e+2^j>Tik zzkL_+p|5Zl$)b#;6@v7Jfgs}4DC;#I(!+uy{gA+t_kjVhy3@Nv3o~L2R#9>AA>Us! zURCpEsQF^XK(*N=hE=h+DvSzwZl(1#7qZOf@~()=1usV>Wl>%qO@?FZOPEu?GE$QR zj#-Gvp>X2nuh5iLAf0dLT@L7_ad5qBn2VfJKI;rZahXTTFD6AH1F}dg+S*lQod- zT6w_rcPh>iD;Nd-5$>$4H#{o##Lpv+F+x|B6wd+q0pII!fUx8F*)KezQQ4OJ?hS8f z_~g7odk~;D^wPX_7f3HIAiXPe^IlFVi!7F)Dbu^PIc;1D`S6I0)_`{E| z?{>Vo8zj-f?1=T4PuWowjiv%0WN_r7$D1azw2*S1b9@k&=xQYSoUQEpc%hRsO7(0i zK!JEzV!}WD&PWVqLG)H^|BiNNnG@GXsP#jt+^Y|Q@HC8CmgsxS`sj~5TJ1hvoiS~m zx5nBgeY=P-TSfNyN94XaaLzYg;uL|_h4yT{#PR21FhoNU`~yVgfbi)IftQSL{Fjh5 zxTYYP7q1LVTPg{76)&D^sX?!wBC7=eq@b;9ia7jDW!j@I3~I1{^26D%Jq~R=aK{ka zd!iE7tfUq#+jT#vBHelVv^J?SbvvwPn4jTdWzJ5Ad@i*VNHy6NSy|xBld9UKi7fz!^xA@$|3Gt{hP?y9oAn47`|~1TS~wc*u3ob4 z#{y-H=Z_n1s4|FeZJdpv$TJ>J~7-Y!*UGGFO^lSmYL0&>?ts_`>w)Tkwzt z>1M&fBO&dP8%B305%h1h8gp2CIadP5Qy~D?IgKq#xUxt6BCQQ^ZW_& zhQk@TY1>n=ciIsU6?OoCxka*T@v1qzO1TuK_a4qSK|qxpR>_sDwU=SywL)C{R9Ld} zeS0{Kb|>!mLGkTL0q?6kxlz1I80e8GRmBPE;>+KfsgmFF$^~BJZijpQMEDRW+4~9F z@Qp!XA_Pfx!1GIsA>IKAC+8GaMRV^7mXe|=22k+dojD$<^*)?ycI7PxT;ws=k-4DC zLM4U51_ft&HEPP9vp||=3qc3P&quW9S=0V!u1Ei<=XqF>hdx=Rx@_iut?Y9$ z!dD45t|IrYN16fm)KMSUBQS6aH^B7DsbS;)jp62E(5x;1{`w#%%IPhEdg~?~pyYx~ zWJ_Xsl0q>i|9kLaIrs(N8+H`F1SugM3?M1z?A~o1;U2Y=CK1OA#c3~r5SB%e#Ww@} z70}o>L4qK^s$bSDVtz3Wg-+hubYsOGqtW^Sblq?shXijJmkj?vR}D}-(-Yz8wym{_ zL_DD#zQykl)I&^{o*89Zm4Oca&12kJ%}!s@-l+duO01>Hhv;TyQ~u9^JT}|TiZk=~ z=KR>_oiDCNWamuZ;IRuRgKGH&t=x|Ij`0KLwV=;;Q<<_ol})BS9BwGw1RXA>#*6~^ zc~}aeXva#HhBCLl3(Tm+tMDTR3{m?JUpMyv-MB6DIUCEEUryPV7Ai!aMD0hha~*Nx z9TE6h%)E;ka}U0h^ztUNi@x)U^N{nlL!5Jne(lJciMucBf8wCBCQR>C7WfEA`YBdZ z4+;=d{zbwc$-Me$h14c~Y!S@rEdnw_C94ao9#29_sfd2OO_mZ)II(`e{C(uMV9QNA zr7OHXnRy-@wol9XBPwT~{pKu<<^s>vIX0Z}m%a*LuTwrmRNX#r3HlMq?pG0HSDWWm zCW!RrHqng|ujXti91)ow=^u|cy($G`o!?0A@m#i?*C7e$J|w=q`pFQU#AF6rVheH$ zr%FjMWSy8A{)mmEagzUXGKDnBp)f@<6G)>;!74L(UO1ibVP_9A>}e2bR9(pOf&yb# z;?Ou-W#+*qVli;DFe)zN&VM%`3VUqTu~^xWsPCm<_&X)}aE!jNPqLEpFyvLr@Z}_u zGGX095LTuGLQsiOP@6Igd)^E}@qt81rnpGsrVCKX7JeJG(4tgLsIHbquSeJSLerlCvorNuh0)|Pds_VR+Ya)RN~jo2jJ>%Osk z#R{hO2HOFh4;1b|O88;b!=k~iky|{@fdg*2M(2HnO4ON9I3_)SusJAZ>v4EZ!Ko%C|)=fiv&w&0ef;rP0@gL8g7dwck4H)fG3vXLa0QlTrOWc`V9Y zyAy`y*+L;a2)U1y(dM!G7gG;x8RBZ8lkq!>f>FzC_mcjS?|DjsWx{#edi-vn4#U*< zdwILyFdxmKCkrAya>z*Ee#A~Uw&XL8gz}2;ikn3{= z%W%Z9KfYARDcPT34?jKzX8O`0#z+b=|N7A8|9P3OK!PvdtoT&rQLh(;DT9LwE?6^L z50Sd9w#BXl_IA&uLW+{GNUl2q%EDg;q!d3%m*T0YX^ded(*#F)jUP#U`$8kJ8kEJA zaU9`O7!X@4TWr`Tygz@H=us0!<8EGU`h@LN=xF!-QN!zwM|}|E08ym|!y@flnpt5e zg1I6kRz&j)PIo^dq3g9; zj1ujdik;!@pJCTfSn?Ijp~2@bcL=c`ok+ugkDq6v35Jt!yU2P9ETHAr=&jK)TzAde z?=Ca7M~ zFRqkqOc22tJ=Fjoa`C&!K>O$MLrSf!K#1HQiTOV}OT)*2UuUBad=@@RHNl_p*dcLX zWQ+gOiqPfYu;VFw>#Vv;jA`SG#Y+rX$yJdFn0xW5cdoeD+xlM2COF(r_G_FMH_$Gz zn{%`ABbD3iW_)3>RmpZ(=h$qatlT*(+z=(%bw|Dm8M@reXG+S`c|m01pzt8ZfGrp= zSnFr^@7Q6e>m-T(jyRviD*2m!+?q0A*9e>AK@!~QSim9Kw(KpeN& zzo6I)kg%>6w2R)X!+GvS(2RSi7ohiUk^LUd2dmtNE_Ca1PmzpMhx;$!2)oTb9-Q*s z^s&l)UR9>F9@qC4ktchjG)>(Bddwwc{u%_0aWMB0vbNg*{Y;NF+{e)P5FptFbd@FH zMi;Y#=_}|HrkLk6-gTpk7szc$^bXr1+-Q0JY+Av2;v91OYm9eD-`YA~!kE?QEAr^u zEqdo2WE_HpdI?@a&NWxzJTmo5tg9YtZI-a50)_&SuJsw#sm7u^%~`m9Oakg{+OoZa z$l5QXQ&^-Ax6c#FNKo)0WKca0UxrSPV}$z{$6O;#X(;ekqX2K2rZg0IYf~V+eF*Uw zIlg2B0SNptH>q@lm4L}x^B&uPRPp1%4~n2si>ro=7PFLs`#oa=m=K$13MxTF}h0aaUafFif>qnqd$#750XEDGe(M6EXrE)JiV{SlcaS|91MnV|7rt=SL3X)dm=AXi%84QrhS- zwMEgRvcz(;kj?^aFpS|ek` zdP~w)G6yQx$1&(5sGN}pQ9%KdzY54?>=EJ>qXg*~-kSo8_ps#09*(>j4k3rhH^-*H zdQ$k%`_Jc*fB6Jhd);t-27QMr>~ilap;v*sqHly^-GP8|UE3Rdq20(6=`$YpNzjIS zp?4wzSuz?;@p&J7aR?IT%$rwGc!zHEzVQ8Heb=v^>j0tQ{R;hjhZUzzg*Rr2 zC)}pF9d9&<)zf>9rtH~+v;EL=N6)* zfZ&j-f`Td}EGkYENd4~d9B^$!7|-SW5CZ!d6dwGZWb;^vUqQJ57-*PVF2bHX1a(Z% zS)H~bAjtCt*jFn;!oC);&pd=IJjTjIbJ>2?C!7VL5^5xF6n|Ad@vZ^%%Lpwha8`kY zRHq6Hk3Z4{z%4*?_8Dt69+Y78U4)(bv8q z^#=2)w{#4r-D&W?tEsa(jpC%kz2e#QIfZEx1SOdZ?@QK9!F&V;IaE@=oB@SvYw?~1 z7`QSZuOhP#t8+lo<-x)o@gj@~)qkMl^bx2Co3YGKIo&gDGR3@RTt~8<8|v(@kw0)nxS$lIwM_ncq&l$Td;w^q|O$L9qnt?69H)nmN! z+i>6GHk_^VAJ?(Z=$~;aKk~gJ>0nuH&#_J!&`?RX2ZmVCn6pqk-yB)gedFvtcviFZ%InugGs|!8Sb(q zbZ2;Wc|Tx?WV~_#!M%8f0RqWD-;B+u&()tYVww5mE~DWmjO2*TMC1a@B}#S$hfJ^0 zn+OkDZRyEqZaY1Na=gBRk-rCIx+7icfwY$}m;k4S=PX}7Spj2$v73|#xBBeY!osoS zzUd*B>&+x>Z@0k6W?0B&Ft&z_384>QFunY8DtPvjc>;Y0n3x_$IR|*lCcV41>Yr;y zyh{Qc#K=G)Od+zw8ZYF8tF-Ssf@3!o$TsRnCYbdaf}a2?TX-NUw_x>VP76bGmgY$$ z1WtzMqw79@h#VTecbALwThZd8!)5K5Mrb?@(k zy*+7l=9^fv|CO#552J&5DfP-1u?~MQ6c3V1;kHtBTqB;x^blOdBTj)+^#N388F;4J zAE*G}oB*MM>kxpgL#WSTF-@+Sd6Y2x-Y6y$`mm+M|Ykv`&CFf6HUhd|Ey zSK|>tqjTWd(99XYGQ-nRuf-BgPs=b!jGe%toZDIHFC9ozmmfgkF-`u!hf??IRGL{j z&fKR_il8*PvWL*1%m~GoN(z-%QC9KJUS&KZ#yeuZIR-&fi*YKuya%NW?~(p8ik1sl z5>uBs4NMZqC>MzT*+Nm*Y1#6fEq$8OL;c?(TGdyBW0CHg+P6;_q?03IM;4k?2k>OPFjz!nDT=fN;`5Q zyTkkOhhlIBdBf0`QAco1j;uOco#XEoWel)!r8*iRI@_oliT$+}_@-{o@AeBnS^;ug z#o+AM(4(@c;Z5fO_v4s5euaPLyK}QR7u$0S8Li&u({=>o98(nb1BCP|Z5a_ppf2dj zF}oYVlbWN@V~)+L0%+z2L=u300D`tdWkI(8&)%EH*p;1iziXeVMvv{O?H=6e44qa2 z+#oS0fXD|vA@Ko45JDI~pa2p=3Gj&sL_i=wAc2U)&3&XU)Q#?gfMC0sj0`h%|(E*S;np9wUCjPre@P#z_Syqr76=d zF}}6FQ<+a|zdf5|rg(rI{^%vdSb!0492x&rqCK>As@RT3kroy6^pGU9}9nzDg4C?D(U8}`tZn@ z@d3VJk(iHU!3WkDbwjM61S2Xdj|LyR0*13rca{QLp6RAC7UJz+7SmntZ)nNJBKUR; z{cc*NyO3lILWKtV6QEDvQJ1vFx07-7I9yng=Z3^R0$>sE(tHOIFa#mqWGMg#tv7iG z3bfgV1io%O`Q+A5snr%>mR7hC6dq=;0N_%K^R_0K<;ICeGDt|fwEi5PK9%29T}r~_ z3gX`i;8I$Kz#`0K#MzU5MH4Tqi3PS43>6Pv4>&ma@G#E0IxPTm1Ri59Vy;mMLBS`+ z5ny-|Hy{FV;o`MRpjF}Ad+s&nUEU$)$^Z)$s3w!bfb?@* z*gsfu3E+i5JUJIn-gB$_)DeQSpg#gq%;yScjzQ=hK%iw#bIf=yr|3)CAF%>y&yGU& z4Q=6G+YJyIWl%?G7W>>c8|!{+1SJKu(f&-#X+s6F=blZCw?B2u?m$CnLYK?Z6ChqC z2f@Jx$_;O1+J|Mfnxj4X;u1oe8lJj&xl?H`K;*-KXu2ESPrVnR#|wNvbb)h#W4`hT ztB{_)dU*cfbT(Xl{%@c(K*BzJ!{8JWy5Dp~`0J^U@V^6j2E-La1?D@W`&1_Ob zTkT`7g~c)3VKK)&%!zSLqqt)%94r(6#@ltigF}h%EC$7V{7ed{PBd=&hHKw+I~3e*&+ zDNs|Oroii^Kq$^33zS$7%2PGjSNU};_p@%4hyiaHjLqJryf;FU;6*0fj3Qga8iK&x zcF8pac{b!x8Mso}&-E#fl}(ft1P9@%vgad?gVFPp=iqmU6&AqD;yUK$7eE76Cu5@vpM*vtieZ6R6911rMXHxXN>w$#N{4 zYd)7r5GtM_IP`qZ`%LDwJlmtSq$NtF%KA|tFXuBuzNo3o*3#lUOg)Ng zT5H0Sa<)&O8_!U1Pj{v*#)H}Y_2|n?d-8CsR}xk(iD#$>R$9R@}0n+?nG&7I!N8R)xE-bfyY<7MLIYI$j&wEP`xqB zPg0G?@y8!!s1|fnPHRXIQitPtWP^DCzqXyUO)@s3)`2gx=DSASx-wPn^A&g*1>XO~ z`ko;#{=cgo;w84yTj5R3GlycY){pKRN6~WXR8!#1L;=L>I@J_-@F-9M+66eM1tCCT zxOZ?7Qa64}E+WB*@qv)plSz=VQd`Hbv*1B29P?2M&2^Z=&?0jIcQSDtRykHY|U`T_^p}c>Hm=Qyv10-v!K? zcDyyDQTjZ-JI*)suk9{%*($KTOASZqn*1&y1^F&S%t3(jH_~!&^1f;FNSo|@5R-x;Faw#&(vbt%Q;vL z&R`EHoX1}Pw_!0$9gEaQypOcXS#seHbR8?htnJJ(pjX5jYzxzS`RV{Z3d2{)r0(q{CY z*})S7jTx|l(P#odN5eS1DG3Pfx%NbAuVO8^j$2VI2s^9$iIu`UhGpWQwVGDvE~GAW zZ}8kww#EB0jquOXKq?j~dzrZqAdt?1HsokizfIGca7dn2u7S%B8eJ6Xn^+^N^*u~8 z``c-`e?F}c7;ql&QA@)8Gk2aplN3|v2CZJCjZQm|^y-(go6*J7JObwg5g&wf6~5qA zzQD^pTVcs21z`50?4Obl;)67$;@nNIV$_5^q|P68$)esg@T+6l0V{O0jq z+Sh{_(T!)gyyQOjEjnr@n^|>38fjFnM}dFkvp4-~etB>I3jkJ673FyMsCak0CSWNK z9U!4~i|BB(*J9OvwI@erV7xfk9n~%0>$eu0iw2NfxaUTQo3(uWX~SUd^(DGJYRk zSQnxl=4{jdtBgr45>0wE5u#p2#+s!+r?}o`+_f)WNDGY51D7tO ztAutLFwU=1-wL3h3aJmFaQ{~LHKfn<DKnmQ)iF&VGUoZODGL5aZ+o-1(d93HoPPD=k@;JF-h?!DpW?(5!VM#bQk_&Tr zmMLJUV(TID=sLAdH3jZ>3NZWMne^GuewK9$U&A`p6u7r2U|h6tGbnID95}52{k#mZ zXyMbtmz39n4}+=1Dr~3)OE6fB=N2E=1vGK^h?ZErXvL#TQRA9v1=HX|Ip#VnfRB^_ zQP~6_G```8nJfADyb&>;Y|@)K83V4wnk!tp3Y5TDHI413E73cdU_2VQbScHV%+ zsRqoIX$YgQn-Wt19xUvaFjB3JfOR4}tk`Cs}dk)UAb^;9$gJ zlv%!$;9&Kva+SQ(DgX=tR{~h!-7FR8syw^c3VcQ!y=%A?<$D+JG>m%E%_#k=1#85} z8_g%XC~|jM6he6h$5Szn^_{{H&l5nb){9!E04g7QQn8JfaG|nFsh48pG8YZ+AVmdrEkPq)aBjJ=~-dcJYu zLYl#yXuq?Z2Avf&foA|;d9DF&fXcblUIBm{G8e9~P}b*Lql?idZQ{b|L>dELO;9V@$?O}uZ)di&eoenVTIefHTJAiRMp^@*ASH3e!4 z)D(C<6eyHeo_I^hta@otc4!*o9)(atjD(C2Uv6p$1ZusFPd?#wq8A>z0nnZgIOb@USYIeP|bL;JkpKNL;mb`R^u#$r^lRB%$|R$Z2AVOXb{0{0^Y?%2qk zz0(Ww_an9IHox%{V8PxvSTc5l)2H$xtpS}$5l4;>WiUs4@B|Wrx#NRd5=1u`yDm%> z6MpFeGK<8zl+Z7IwJ1B}qtd{VBg%+U^B?1%8C+O1{RSV|h{ZLBr40Ah>Gn_{tU`@1 zCn$l%X2HiftoL?cSZ+_v*Gmbvk0-Fi(RxdO5{5&DR3Jp_G&K*y8r21Qt;%2`-t4I` zMuR{Gz-U7t#P|(@Sfl`j1WdIML->hz2L|j`lCc?rah7r1B|sAvy)FjJRKp}{{Q{dB zu|p&H{4N@xWvW1Lj$6ljk9*k=ykN+~l?%X6#F}ufxD!c`kQf31EbRjXgl-`SLd%ez zU~;ue6R2xQQ^7Y~dEUu{fULV!`&D66_n@Uhu-1biv`{(cLgV%t?E!R&SR880+IO}S z#@=@)1RUpPfU^)>RormC41so+4?*9C)Dgb?5IX`Cw1`|+Sc)T+=;qW^;%X$s53N7* zUZ$n_V|*d}xK(J^0?z_V6N#Ej+6rz1F6o;PS*1S=)J6mEOHfx^g*(w&vqJ=NA{3A|}Mi zTi`1d2+woB?rX9jSSAJ2Rn9BO#=FnsMEnZ+P#2ImW?Q#tP1u z71JO^ZG71@ng`Og<~tZWpGVvGG29iOO`Ww@q5mQpzgSLVp{MXGD7d}I?C@l9gCT@0 z>}(XNDQMR~*#wKf7N8)lqYO1|0S7scj%*0kYq&IQAEogYoRN%QU&z#Ctwu!Jt`^7fZt?K;aM< zMn#7uCjo_cc2AWKg~j*2;M}p*#d=xFH8-8RCz1Y(L_<>-4-n8I@3)b z7IO;HtTP3yoMRd|&XoOPN(bJN>l)us?`)vJI`8Irl(Ihg$xm)L@4;*EgLSGYP*b3$ zKuv*~0=Ja{$nK5DPo`vyLf48^ysKnAlm>Mxs*D&4kv*Uo6p{=_p}ZN2lWzHT8Gk(3 zAsGqRDp()FS0u_vDq6vls)Vkht?N+mqAHyh@UaBJ26P0>38uunvO91~%EO)m5Yoa> zxmq5xpj_Y+_%X^b!2?H(!pZd!<&r91p}Y_Bkd{@JEqH^<9{iJ#3H3yU?6H+cqqH#q zCU@sK)Z_W<{*5Vffce_>{fV4W!RThuK>r7!EGt?tx)_&YUv|$DFhV0o&J(vpn{z&| zXF!de$dmtuMWOueL=(6ieKUE=yUfI;4JkaiaK33BppIA z^#H#qb zAxu~!BAm_AS$m<6py4uQD%a_fRM(?z`+!1qY3j4zf9<-8m;@ILM6LU`@+zv`F51dCvFPdod;o=N z*$5_T9phpn3*zPemF!ZHMcU17B_(iyMvjZh#s_Qi(TLb!Prmhmq5YkF&{AN~pH`YM z>&5&W7JXR9j2MDDS@-6$BfbD``x-39+nyl|h)mcJras1%;2<1D0B4(TeiI%CU~vFO z^8z4-KoR{k1_-gVRDjabEv&|N0swgT1e>(jD-^)u-D4qI?rfBzyM0$-#tIoS-)+Gh zfu&K(E@4=32FyxmsTp%Hv_8A6(8}y-8N3T-&T;0uKLore1bUqhNTI1|TlqyS!#gzw zEms$#K1UZpR2CZ0xm<>o_ngNFc%j^I5E?r#-6??3K1A`t@m=+&*4Ijvg+QfRw|nUi z=xYBf7-?B+ERXDN2Vud!h3Sr$LsvS2i@5HIe&$&N#AW=%ioAX7^YeehJMLg`JSb== z(X#babb-Q+{i@)L@Gy4&%D%#ExS4iOx1&|^#m$w(nW~%+x)4%bY2q#)DC*~c$FA+y`G##(zb>(V$1Z%=GXl5Eu;*j*&A*luW8gs+~ z<4eubMfzlk_uTjr3YltmR_e7wJy5fUl+5;l(spo7UK3f7RS)OhsK2)9uRx}4&pj;s^% zh>E4~7vm2+-@*dkRc0a-lvJ>l0jY8*TPQ1q90Q*QUm6yLW+0zsmdIT3{WK3UaFpXG zR=H?Y)=(5JWEMEXkc+6pYGh(Ue#v~DF$U!~O-|0NhB00ub)7oyRQxz2=8mG0wMj4XALr~5ZQq9)Jt zvEl2U_gxqU7ziKpYK~zYIAn3z_<|)1^H82d)2;?Uu|a0~dQhE@qcy$!VPu8aD_FRu6`@v28OE?P!U}5C!-(CKEeXb9z;iy!K!6K z$Pu)S_t97oxDpoR*L841t1CdNaL);&tG1>fmlnS}Cf|J&2f}(!R<{D)Y_DxYyEEd% zO#qWSmiKxu@{DSi>fR zVqb86C^#h;r!qy%nYg?}%P{7)NgB{!^cD$5UGP@nSb>OcNaX=sce2P&KiFR1lMs3o zYCFucfd0Y3kAT0Jhw1m|dT!4$1%1!|I8YE42vJC;|10;VZpXru^SS+HUH}#UZ<#Dy z0WQWDc^!9JYk8l2ARVk2!8`#f1)b@O9f3mIWggp$AgFe6#7O1agT%o}FWe+KpXizt zA#NyeF8GdhU_n1PhW(B?*6s5K^HE%5yc8!MxiJ>#O{#h$E*s0?3C6QYVeJfKOW|u$ zXsg<#@Mp}xs|aYisZpRb)}Z4<&DSH0!#T!5C45%*ZMS8q1);7Tby=p`(8eOXu+|Sj z(_t7EiGWwV=2K~^Jd@^;{)Y_a89>6R_4CvVu-ANun1Te8WBg1e*DVw%Gt(kCLOT0l-=O?Uuc zlyT6TPMraBOT2Ap7&n>shEq_dhtd^`an)*!WWfz-{Al(-3u59BvNS?_7z1p180H}8 z19(^(N0fUC+>06va6o&DK5d!q@k%qlQif|7VKK~|KBlj)*l5GgkX3W81sfQcBG+yu zS(YH9)`Kk`({dzrmub~&ORr?NqqkD#y_DCOf}i-rC(?&M{NY_UE9U53=iWNwSAOMJ zZhfIXTT`H>Kuv*~0yPD0BL%|J?;vgf_yr4~tRep$auYlXJh{s0p+pI zGHb{W@N^NouJW9sj4_$ui9?2?%!YCqF4g78s#M7&!I0?HWF#Z1raXkFiD1X@ZY7{o z_TU1)qc{^hT$5%{pDry%NuW)3N+u}SD|pmMGCZ_3%U!_|&d+j=4t{yg$mYRk=*tVmw9f z9p~d*fOMn#>_;dS$@@a#&1>WOMi)J%iu}jx*)xc8VStZZv0SfP*W~S53Fi9!t0iGB zC0lF4Uykm`<&Z;$l>V}`5CO*Zaw5)IKCUt8`<5PK=-_qNM10mYIvY8tg{%t8nO2Z- zLZoJYjr{uo`&!5x3&@NuG z@McN5$k>K!JhuS%faey#^H|EYsjI_z0X^l(ARp%y@3jP6XF%9LUK6yOrhUpT(ppgQ z3eO|Zsm0^+;(B@ruyBg^W|q9V8&$?M&f+qhuJ0DG^3pXP6MZb) z@?|Lfiu&1bBh$uY9}EW{9T^fo@ks#EMPfb@&ABHgi_QCdbgeTi-HgqKtJ4}Fypc@1 zKEsE4c=~j>^9YxoFemo{I9Rn`ca@cE*`zk1fCOWsIB}xN@?dObfcF#R`Vy8*yf*>9 z`@X=4YH8L0qz}u>iW&-3fQdtVy~hiuI~4^jw=j!U3SiO2ZHkIlQwBI*QD0I{`<^OL z0S-jHT5k@h6UHs9`&hV)vxVx}8f?xa%3T_5&2|WrzT1 z`R-7T_uG#x+Na>n0EuR{a97#@yrUM@aIk(WQDP9(8^tD!VM$IM54B1bnFwCzwv9W_ zhOq`?NrStwIxGPNORNq{>MdCqVpPT)iH>n-A{P-i(38@06P+YtoFCCTUS3OJ%#N)H zxu#09W8Ot3>#`(nZE&n$U%L23+sZ*V?OA*pP;drgzuD9t%;Qq@B0t7vBrH5v0RyoR zZ1lN@1)c_0npz6B*7ssH38mY-BeZJ@V2{8myqeG-%fXjRi3Hsix*`$5=O6 zM%J2Rjdcx!iPe!eD3vr-))d^kf*dCaTim}$xjwOSoIu=GN%G9VuPd54x6&?<}yr_QndDoD7>8qzA~1piE0_30ke=Q8=8t%>S@n^a?V?lk!3Zy95*z{NztqPtd9B_9YaaAFZXms*74Xv?W^60)aH9O!rCnjwC}8OvFyR(8;?hyC-1S|v z5S4l5S$tOGZbn=Rt;k^1be526oMJKGd$HOKL0Q_{uLuW)TC>}vQefEmlnyPjq?-E)VIj)# zK56e<%>VocAwxOCfh8DVCjc5n>@}^U6i#5)1(|cfK#d#&4j7W+*aD^O8& zJhwFTK7Qf$+64jIV1A#`ePf)u*x(`ophsA1a{Iu!QZSqpiwtOcHUz|__dS?gAowcA z^M7Dz{3PJB@d%&ioB1U3fP&a*#@iA!QaHN=ozxiB<;#AaTQ{X&Zj$7>jZw%|2( z_~8nNKGs!_nywDV9@c~1^e&7@&!^eJD*#$E41v`E3OoHvSOo$UHm1q92MtmLZIC1v zGb%yVSGgEm#=dPCH=zLhh_&kttgjj8&64*`OT5s%W%yt%*aj3tY>&LL$ip&#@a2HA zhk%KNi$Pi);s;X!*%aA`n_8uChq`p&+) z%+Dk8YqeK2u&i7|-G^3eIa+B=U z>#4xfF^mdvIa&aS7FZvyqf=4LqJ_LnzXLk9Mj&B;evry3K@u36Q47Mpx-7i5Ek5s_ zAGpsw9d%GfbhuvQjeAZ9=C>SyKo?&+zQO>6f`^MQqqp+Z?#jBc^f&&D@6B)h)^DY+ z`?{}#J{#$OCtCNDKlzie72AJf?nIq+nKcD!3e*&+DNs{jTMD3T*7(2PgPesoog*l4 z!i#6`Eb#c1mlSW7r`ioqE|Vp{&o?zZ$>@cJ6udpkqeDC_;9VWQ5BU%gVu(isBCX*P zoqOPq2=|Q4Aj5)Esd6?lw(Lr9bOu->30P&zIrqs6-yO$XR(6R~!FWaXE&oIrWDRMD zBBEsejJL7`9$35^>WCuc$0Aeaxwb4kPEtdFkQN@TWRq`s$=Zn)cImDF4az zbB%*GeKbT4@w~+=j{4l;G8UxK=44|Ac1T($2Be1kGDJ=>w&4(Fa~e6(n&*%oTn}|U zMN7Li))EHPF@-F(#@dEMV=rSvP_f-$4VCe`!1~J?dHU3=_1`PXV#uP$R3>KKFi@CQjHv$oUvYMDbS|{VK3@s$p*PCKYebG)_nq}S`V6ZPg=z=)R@+C^d3_sl{pWvW^|cn z6Oh!MXoqJxip;)3-X&!9t32;z0C)jT%R7U?$!U~ZkMK@D$~w*StZ}>rx;>7IQfVka zsdZ!(C$Xxl-qsX&qbP9WTlPk^q^|d#rNDE~J(o_MI+czBzTB@GxnVuwBC22jJgBMakk{EVx#S!STW8f{BkxtPZ)7!$+Ys9+>&Gs6lIM@bb&4`L?&^ zypw;eAD4?mKc)k$IgDk-hoVlmMuBh@sf)@B^cj88c=%yCrCTfHZsfL2Q)>F*-ry>L z*ohO_jis>#9;5^VB=|N2v`EQr(Bl9agQBDAF>48mT<`EhWLU z^YpFSugeIWy2&y2pcZ z-a?wf1*t-&vGdxx4o$|1!TqO#{@^Snz<&%EQXg=z$vN*cHHRozkheJ`MjIA^pbpyYup|Efm1ahrC3B9k<$hQU=Da)pwH)e- zRSHe&MnGZK)ujTCi{^DJ*miG!+SA2)5a6$~b|7`9&tP?VnYnqMKHSgqOyhF&NW>+a zUOJ2sAmCshH^sE4kA>h`11m}DZ1tcQbSu{LyH*mju;>E}3JB8v1^^>F{O3Js>bBQ~ zBcN7jk)xh${Zs)GI%Tg@Hrv4TS6K*gF^%V>+ruhw@@`4cq-uYXZ=Go;e!QxBEA<|M z!Zy>DZbNUD1Of#JjYUXk#5Dg1<UdFGBb z^4q@c+tM%n(l6c7I(902$ozaBMT|3N&Y)Mbnhq1A>g36jI5J>R+~IT)#h{mwJ(igx zA0_V93HZ&{-Q-2?@blHh*A%EJP*dQ3rhrP0jdwns%IBWtTaOnSl$+%h469HmyC@qY zBjNmE=j2WBogr_*rv}(1KWfZ(WQt)2_@|5Pg{y;M7jF}2FEyu;3zYHHY*INEx1-7( z_*D!!Ipja(7ybnZCYxv5kX6{Q!+*}j4tYWz;wWShx89d?n(2n*b??nvFX#QZi?XvP zji|uF^3QBLB=3dg3mWF)DM+~s`ouFt!#5TXHF!P<&vsN-mDTO26{8!oyyZcD{_1LV zN6uzja#6X2e8fKWcph6o_}5%Urd9sy73myc9~A`H$sJlxszN7MFD%&LS{pf}i-Mfb zY%6_)Avdcpo6qE}e?8R$0POUKfOxpv^qBr_B2!KS{H;Kz8F-Xyj+xOTEis1nbWx~7 zRyXf}HIBW=iG5`G<4X%^fK1uLrKVvWRvD*?r?0T4Ig1<8hfy#d96p*3;T`Qi$tN&( z2|0L`tw5P_lJcCEgB1mB=T2!Fc}w}O&lofY;AVhOm!el}EANfh7um{#3EJs(qz6K- z*e=MYlBbC#(e1OUC~3k!?sG`!j4tcjdso#X#3bka%Ijw_d=*1r$>8?*2rKfU18 zsiwdiL4kVYy%AKukLp~2Vfm?_`l)n z)eY7-Vd>?;`8w^M0xtLu&z=qX3HpZHJVBCsG07b`j$EvFA)jOWyrJ7gn6C#Z#kd!QVqTGJ z3ip>-2L*Vi=3^J&2@9d%sAO0L&UvrC+!U5?f+D`xf{kjR!RYD+G^`o=ti0mp#T0pU zFT70(@JvlW7}988mCw1rz7`0Axg2xb)%82Mg@Jc^8Vicn<@h2dn?PBiaL4>tLhEQ_ zWX=t84l2*Q9Lf{1&)6)v&$+B2Xrv{jf@GB_FDxiwegz5(=(fR4@<{JOZOKBgOR!I{ zP_R+DLLx!HhI60+z()*wReXt%5%a2GtJf7)1<=-*pS5C~fq}QIE#}pDHo;4@_hQag z*k+>Ey4ZTcDw4S)@)-kh*CI;Qy2&jBcWnAYkO&JuUCT1Ic*G2r3fOrdC<>4fvCh2e zSn;QxsOr6df5wLhT1c;^eg+vs2nPWM3M?vd`2CREkLZ@y^6(Y4BR9F(=oaMkrK`fqc;qlD zK)`g@TZWq`wAx)t5a=`it@y^YW5z%szNZbbz?iPO06+S5Gabedmz3vC44 zWPxMPwI_ilnLh;YuzK9Ha55|mn^*(3`nX5M57YYeDz6BOD)eUyVZEg_A1+9>G}J0k zYeHWo-D6Q1ZRh*ifUdX^)jewl2XUda8{kumU+B>o(oZdvk9@6prPnFTM7>jVq-__i zU9p{xZQE7{9oz2Mc2aTDv8|46+qP|YZ2x)p-rxAgsKYv}=eg@%YtHL}4&mEGATs1D znf~?A_5+_qbx(>N$j|TAn2JPi7WSDcly|Vk@S^qIx`MU*dE)v?WPjsPgk02dsD5P! zoH@p5LF;h@DgLGZ+=n?=UVUqyzi^P{`3;Ux$G2^ddWw4~pKR~Wc{v-U%#k5{?tz+{ zmly23;CH(fK@zxP{M=)l`w!MbX;M7OHs102`P41wb3jUH_{W54V~FhH|LCmzUQ+yE zgdFS4Ej(@yM(;@lZ%I#ayKitQ8Ex9X)cqdRPt(k@S07*1Fv0!&j?8>b%cUP$|2LRP z%@y(&aq4fR0EXW#)?cp&tpbbj^n?UV@qckE*HHh)ewKMjH6S>cehwz7jD!f?Z5?<( z`k|0|WvmObTIq(cgTif@s}YbAL}4ovI)*(KLBj}&T*v_rSDQ^bO51;qLz0gkA5dxm zntg(kpcWEI@`c5>CrJ=@{2-le{1QhAyXHSiEa9T6C)qxfV72lXXd>^OH_teP&~VcJIQbotSgiS^hyMEoR@$8_dr zjInvVyyLGQ9IQumxB7NNDNrsN-||`bVyG=UUjkd8I*#g2nK%AHCWE86+;xR%LM`RX zvXV>vY1hZRI);d?g|dC1L(_!k0^SGT;WO|n+prxTI57tKCmfteC_2lC&RlV2f5koQ zEv}N00aE3kX|J`o7!>?X)^=^rzX%GB+ zX2}x-KUEqgf5LiGBpl&F2WtUGS>Xht@QG)I9qMlObmxWWDF7l#bxn<23h%|thkxjb zXN$gv)R5F>{6hb0IFczy3M)kYr-4OhQBg+R{@`wm#D+KWa#>@nqP@MA$l_tahK z!+pC^p4%-4rVSj0*X9$1dEc;zP_0~hzEJ5R5usvbwhsC>K;d6iSbMUx0*MgSFrv`7 zf=~j)UyV#RkT2n1T91c*a)|cvEUM4;4Bc5i2O5o03)uI;Td*ry#}@o}0lWh6x&Uav zDm_~`RtTFm5mOgkV%$EC<0eZ%_cHoBzSZpX0$QIO#pKFlReC?P4T3MTZ5l4=5!tks z(IP=rCH*j=gS{vh2Huj^6O92eLo7rft_H_CXYJQWz9idA)@0*mXZKJ{%K)baCj%@H zHh_Ztr@lcZ4YHni4>>MQ3VzTO3+S*k3q4$U!3ce9F-F;?UeW2(xsiL4)&5dCIFyUJ zG1DviP%>y0P8n=rKrpPMsx|Dn3Ke^D?!|&h)N8G4bMEK;x+QRUX_2D@r@;kJi9I3!3iF7%No9h!$?iG+H= zP%BE$?|=585h$p|2Es(j{pI>%k1i#~`N|IiZy^~t|pHyRKpuz-~Pfy#?1qnS_ z25aw#uK+Hb3kt)3W?KTCHk--lp^@}H&lV_>cgF5%0bUYdOxDPE1-*B&Pl&~749A`m znB;4-l?2lRcU5TB_FQ0G&|;iSjDt94GiJnyd24NhMC~*Qx#%7{mQm06}b9c|^uJH^t=nFhAdF+h;4s9C3y+%5<@rA-tU3O!!Z@jbSc> zRAH&AbSIylTGeU$D00RZ$7Mj0;XLdhx;M+B><(IuhocL>CGCDIGvK}D|IyiTb21F4 zUWWbNhi`5^YVuJFcXD=))hvR!Rd-}#=)R@P-RX~|6;8Nw|Isvyzx6E2-hJ3Q+GK|< z$2ooiJ?(bSA$F34Z!5#l67Mq@+|@bXp7@s>XJLXjj5&7x;_pZQf1B1{AW6~>ZAKc2 zAl|khOvHZr70+=g#6eJ^7#KUy6r6l~8g#>d0AqM#-~o`A{eHn-3cocyyoH4yI+xUU zL0St}L-Z3Ja`}FWnbbj^tBI%;ULtnrGm@KzY%`OAxhW>SCwQ?@FK3%1?BrYEc-s$r zw`!8`sLAW24mMdJ_FpKLyxArkhw z#%Xsn2$rR0e7!za?k2nGmp`kS^pHs0CaJZRw@Dm7Xr8R%iW{?7CRB&|lG0upp!7~y zvgSm@1^rH-ZP3s~mv*{94Axl!m8oT{T45*3Pj>AwXOwNzodwI(u_~b(d)P4Y^mG#I zF*G9-F?7V#>NjaZY4TtGMQf5{O-e^4n;hzWA}n6wNx1Yb?vq6C^>_`%+$qOW*LGor+A(~XA*r&nhC{5drBT< zthS3o;~|vrClcK8weGLxi`Waq)awb@9}u@9g>$;ufcPB`G&)3NmRs;^Dh3kzVRnC* z*Ae+mw_#Lf6TPN7fF=|s8?-2(SM2m>JF~)qUH6b>YYH`Y^cbPas8VD7#)Isk-OhvT z8MJ{S^X@jh^qz*>n!RbKyUqhb%$KtpQe#2fMVtxdE(>6UpEACgD~|z)Gh1PXtTPjp zNLo#%TGmI+oCsJfl1%3t4A6*_xC4%(G%AjEIr)5OPA*#kYiZ{=p@jrBJ$b|> zM3`!(Q*oTqOuMiH858cl4IVG)R{P@=!UJ)noGL94I_7>IH2UTBQnyQ!Lqcbay03aDkY7DPS+=sX05 zG{Y?c!(N%1js*QY`4nwrR-PTgb(fG|HffA!{d}y@g$#s(F&EXdiL_vlJUDys410t2 zkDVG>1b-C}g*=slzd?|Y?YtmGjdT(73-lHmik(e@jnJlR=2ba3Ku`<__+PQTkBu!UbFluiVwCx8q?7MIzq0A`=yGENKXV$?|uG4vSu>yjG01`~{p z^V&uY|L5|L(i>=x$zS6DF+}yh8_mizCEd9Mu!jPP!#ph~XRIklp@={^q$=J*$b$3h zF$;*2bwz)E(5?aou4}d&pK7}#XLU>dEn|XW=sPR^k{^Z@XaYiX{c3D&%Tq49Hv+G- zG10xkm5&WetYm@7)!&N9ucXg?!B4Qx6usB?W5FEXf5X0XA47KU;yeRSkKsNW(P0 zqs#wy;@{$gPNk3xvntcN91BWG0Q0HR<#5vGZzaY%LIXlHdVY@Z6T-=Tjb>DEL@$Y7 zC!$XRohhEYYknLt+vDKLL3BC*^EfU>aZV|(!J1UsUZ-J~Nwp>j%C^sbBs8dx;$4%9 zmsX;u0K6Hdn%sQf;b`E1kecVYuZ-P;_IHvd70XPM!)<{~%puME$Z)j#szY|A>qx?j zzHQ7<u{OldF2Z3=27R$Zj6T`Z!F~=&dc8KB;&iK4S|@Cvm1o)TUCYn3s7&KiPXLhrxJLsIL*0NmD{fyXC3Et%5Rnj z<_yFiP;fCAL_Kw6`z$Ng5ni~8aE&*dx_KTS<|w-Ij9H8am(?j!KbN?2B+~BgNVr*= z(xB3RcjQCo`oUy)?Rl8E=jc>yM|pMU$Z2>F;yQs%q}2~HMLwk5bFRE9_n!H; z=RnwKz-wn21W7~VATb=;hEAbMj=G2P`OvXu^{nF!m(Z^8_J<<=Sb-OJwf02Yp~8}nSvs})gUTUBPaBK?uh9LAzstjRYKbBbPt1YZ#r@VSzj^O6^V|q z&2p9S52KV4#Ga<3v$CykFWPL}!*H}Hq%fG!pfNAE9-qNVsc(76|B8U3$H)_k-6u!~ zUxx)d1$D|(Ymc9>ku&6`5It%~_~5Lu4xno*TWBmb2%|fMy=uUSZh_oj;f~?rOhq>p zrv@*!%()2hER%6_9M9Zi74NK~kuai2U)K83oX6BiF4I{HCfzH1#Q%eoRfD7 z#<;qB9%DZQ+j75%JfN};51p+cTgq^iTc<}c{TU6tE1^@lah=BjP04bXPLhg<-kv!P zFQsYut|0-Nq~Q-7h&a7PXUcP`q+){GW{X|ck_3z)h?Q>3iA}D%5#CtHRi?qNt5Z}1 zpJWH;x7$Gh+Cb1gn#Y|8TL@00!fo+{1RIHhLdPBh#8| zm;!g?dDlAU&1-LcIci?X9*HQHpr6MrOx>fET+;G6XmDClX)K*Hl-bw7kq@Pe&=tEc zrHmiK-UFiMHkv$j?PorO{^m0NaE!k}xiTUM)tfdj*!UK*W>f^WX@pq{eVry5pRQP4 z$!Bf#vbDcMtGhp)3=8K+JhF@_BP62Pqw#clMyeSoavM|`5u0?5lKgO~vO0yvTA|p= zWst%Jra_dGkbmF<2wGjpc?K5CMvo_|#IT_Nu~kJaVIoH@dM9#80>w-Or#xAEdk2J- z43lP=n6aGz0&VD9{x110OBrSS;^Omu)7#7Qx7gxfPAOxYDku4v%k!Sk%A3*iYpruR zXQ%jyfS3vdu{qt+E1#=pVrOhm!9v0JenFXOfj4Wm z)_(8XyKi$H?uLi&vYU_k>&CGF=8{)Hc(Gj8ukMfa?kwNSW8X^`!J`PqE-WE^)t=>V zS!Yqs$7)VzFVA)8_r+qK@MD&+@O!mDQMVQ?@Ao=?>eY4ZRi@2p-6+=JqdFHc5l1Rf z)^F47^{7UZqL}E*FO}cWci{g5 z<1roK->d3=*@yN%j%tibD=}P9Cq~%7g$59&#T@YPF%}05t8^g}#dte3S+=k5jMLpM zB^-`*tf417#LR=+WvmbWIMpar+~Q(&SOeW(wZ=IFn^$qOZhdHNP>DQ_pzO+)O+Taz zIc`Wrc+i=~WWT07aTfJSVVhDrEocHWz*{|B;oJlNln;ybn7 zY7|CS&>XJ{+-=>}N{937Z#5dI*!momAW)fId(N0q_n8X%itI zA~v>!M%oVN!wx&2$JmUlV&zZ;=!(WIm|4#*xl~z5g(o8KPr7D~M~YMT+HTM4E3&YLZxny~(4#{r zRXcwEJ+~aeZjx{-9&Tkg`LBQ4{0l??_xqj@OT9x9hf@k$)zK~T>qOkkxaRbPeerJHFq-%$KR&prTBX&4XkAfK1JUhIKzYZf5lJ^Q=$ z`jUhBF^6t0Dfja>_bcP-~^sqMx>!qi63#IbA9^|a-?Lry)Zi@_7HPc3#6(8j70 zq->{3P9}#x_If+}8eU-Arpp0rEi2T>I(eHc5x7Afl$T&t1^^fE*|m#)EZe!QN5!7D z7vv*!x$0W1I^Ya7f8K>?4=$#NP(4^yTgzzaw*p%0 z$>)WbzmH6JtTvz;r{*zGq=ezuY7}>09fUA;TxqCw@zM@Cn}0Q`aqMS?XW~ytr#Z|I zbq(;A5RND8+nJaNMf#pz@lkIK4By1*JKBZxTTp~2o}s@@mglO&Y3s8_$_+~$xR~sY zQUc*p25|#p{t8BXFeb-?IW$Pcl`$Oc&_*7XR9Cw1f7sd`SthHp2YybWHTVh8PiFq= zwCM7wf)q2V{VPa#DWToj2?zqT1AGI32s%MHgo>{SS^|u!GjpSO%(jvM#iSN5DO0HPXZ*I9WN&Byl_JYQ$OU;JDTY17^mAI~vg?mSdicRX|d zoea#FZRUx6sEP`XUXo7*3o9Zff`b|t#@3e5!+x}9gq z&gI^?wq;2Fiwo_1BS5^bLHIoPXAJu`GW++TBIT|b^Z%xHQ__RE>4JERxZ}p2I;A5e zTd{5T(!(q@##1pXi#n4f zupU0Eb#sCXBwrYVV}j|S9KXBb-~_5~w~o-g3q3gXcT#Udpv&Mg`Iyrkhl6)qS$>!bwSxeTyC3<<}NXA;?xdC_*%`QcFippM(kxKdA8#1 zIvK|8Bk9Ee)ffS6q8K-1WT>_qGa-6;5QECU6QMF?{^DjdiO`3i)-Q=Z329vDaVoQ6TDpJOuZjoKsB9OKxdjGCw^u+p3UQq0FGK!WeWKv zeb0j|sT7mN>JaQ09BCe1^bcim6hNW`YK?2w98bdkpf+f>M*rb1t|&syeNm5NG>xNo z`QZszoiC`f1k+UZP*jjl`72Ofd!))@f@v~L;b_g6D5!qDQ!tD>ok7K6gnH&9emMWW zF#`Cv?wX)y&rqStAle8%@Ih;0gz*7Y6|shkLp7=zw`NbvO*UrOB)RX9RxIHH*?$-JS2 zEMwAi@<(D!sM0qR7NmI8I9W6rW&|gUh<^^*g^d45$ExH?OsFQBLW5Gzl)0`es*=e{(7z*;r z?PzKy`e1XzA#dCbO}aWv6Sh7%Y&7|?-d(-3cu{CSi=g&)F|8xXn5}kk@$iHyr(N2w zxnjN*h9~sfnYFz$H<)^i8fmP7P*&-gfNrcYqcVtcG*=VQHOkMa97<%uphH z{ziAgWoc}|hggLTXE=VmtJOlVh&tDr@}*eh^k8Z~Bdt+5$amp#d|WAg_~_)`9CP1!M zNv)(v*3w0c3Ah*s21!eIuuyr8g=SmXtfM`PX4Ulh^QJZ+brvS8*Ca^)FDhc~JNSFX zm0;*0o?5_p3&CM4G2qz4OhWL=#a{?tLs#NP)bx7{p@GOtKixx%Eh zc?+9Yx~Dfi-lMEp zvM~a$=AK_~+ub(#TMt!kg?2B=c2YSn6J|4C8c4wtNPf@#>qpzC0m(qs*Z+J<^u4`j zZR>>3{)AXyK{P;EthKGl(+DbL)l>W{_u(l%<)qs0?BM@nBUUO4wW|2y_|CXr9>$)>e)K5Rd`ecA|Ddi{cQ$A-zUA)1(3@12E&OgIr+I#g^(= ziL&vUf_hbYPx~+jP0lQaUXvu!$P-djz5}D|(?_(|8cP-d+bk5D&p|&Fw;o4P%Q7Td zJBnYUsv!Rr&uN&x@3n1MF{Hh5Upb7xHjS|hC;U`bRneA*1R;^o>B?r#S$|(PDyYQs zC@LH#sKpobc1balZ5qcI+H^3zm0t`Rx$vJP37n>pT=BYB=gWN6!J@2{cvsOPsPAGNEuhR{kMB=}&d z!$UhUEoMon*YXY8Bd$uq1mwxAPl3R9x$IiDkoly3TM7OskRs5p%lyJo1_Vq#EMw`V z#J#0!?*2N@4Ohg__Ry9tn#{EgEOij)_Gu@F4#gPdL=Gr1Woe z!ToV$c-^+jj+Xv(!8&?J3*+Xf(unm zw;#c>y&az;b&9#O+dOQ|rsN1eJbmiP8yN-2t9y92a@U-#+M$$n%|fE$2G%TW~9_kp2J8 zf-EY9nAoh6JD`qJz-!mlTURYdS&YwrnT4AeKfaI2?RQxom$L;QS(rvQk-$)x+3BFJ z%|@Z{U~O(n3JpOWt-_yXU3uz#D2vtu!?@DOfW76a9kOS!N)#Qbi@vxP^$ZAxZ>fZ0z zz+IdK=Og}wi^rx1Ykk&i#01I&BVU3o7#!AFd$zfJ3qkE3GLJaDeV4;OkXv}($X3?s zf)M7TFuy#nXVH@F zWKp0E;aB2^9BKwkpmn6y8cm>)LP;WNB9nB({6nue+qCpMGO#?D)J~AJJrF@H>~u94 zRmA2l;rS9jSpl>N75Ov~?2SI$Ng+1kTwJ~pcKi3A{Xi1+xkgNVnXG<^Ig~Xv>6fTs zf(V{6K@MGoYxIEdofI|4lo{)efEuG*w>O;>DzB4uT40YQSCa-^3%pIy3c){_{MuE- zs8Lj6tIjt*$f~cbDg$nf`|4ZluAqk%7Lf#pJ7_T^s-oxOLc^xaz$Q?Q+-$8y7i8gO z2d7p2?UYxmWA_kDEK)nENq+sGn{Ogu%FB684L_dOmvzStq>JLBj@i_1 zf1b8tPODhP^3B2lK{ml2sf;mqTh#;S@WJnK3*UV)4+yQRY`Q2$ETKGB?qQ!HRE$93 zni~YXJ=^d_#HEQEnS%##cAIIq zJc}26y-$DPsatIbVsj{GPl0{`Dp33enA?; z2bvLn(b$1G$`z;$5~Tk+moj7`x&B=t`hTZMR=!Xm*S2VfMsT?zI+yBSdIOpyZMRV^ zvHb(7Nacz>{r3a>SNnj>VP-HZ9eV>NaRYd6$hzR>*urNEZu5!We^clTf8HU+oDR{6 z27R&OA66HJyb^5jI%T;r8>w3v$2jVBQjS?Qj0=PLmQP^zxLcNh5{M?=x8lauGe>0g zXw<(pyj`5FCkskae6AFGBbD{y1QWj=s4T-+RC&2$OjZ3ZhPDZ|lqakYPs%zyumQlc2&9Vl^Vm2vt;TbzzsG!{MN z64@-kO+rw1cJ7I6aQ5!0ll|#v!`3Zk)Vgl+IbgZEvakB1+)^Yn#;-fnW1UkA)4gFq z#3RZnr?e%lbuQElC_qr)o6r!Q;f^y#+Len)t_aax9NU zqhLvK^faC{8PsT0a2dDTGDuGs3|F=4_iP7E!##>2$`t4=tOdVvYRAiL)6aho&eo6> z$c}AOG>-*nU0`=_#pS&ZXQ1qFuxcTS?{(A_?FS+}X>sZ~gt(__>xG5LYQ7x_PZrATTlj=%8~sD>8`*0R07}a2yeHH7CZv?>s5*a;e~rI=gMUg&_yXOs zD!zDf9?|xM8Q#};V&2<0qwo6U{i)DK6t&v!u!~yTI;4+Iz$h>T8hH8QKio$gU+<9= zC&lTS1_UcH3ZU0`o`5r%I0B-P6YA))94wOEw#NkTUhf5~n5#uD=rAmW_pv!r*s**2K)K{@TTxXiw{s%uJ{stqT)i@G@ zw~KoCf={J{=m>BDGZRpxI_isp<&4K-^elcoG4;aq&(b%92>V#VEmj}!Q>YgFzGdhy zLmmGUPL6!@-$r1;g&^=H!h8RbxhR^oNQ*Kj z%vEP+wX3EDy>AwEf51H;AQ9HG?Uave9&uMpJ--^2at;e|D?cJhb1NtGnd0o%;BUOH zMXRrLPg=%;LIPL_pqGUY3Ubu(z`ru{za~+@mgom;&q@U`LuCJmwl&Kg?3ZF#7Z9Eb|K>4M#;^gxkpt4eP9!ojP1(WUkLsrTpA4Hcg^369BF0q>C|ued^y#mck{P~!#=-^3B;Yzm>W{!TXbA&k%W#lVs6>Ge93Fl)-PE32 zXh5jZBEvQSvTTeuxpb7Eop@DciyAiIXzJ(DPHJ!n=((oF4+yWV*U9FhK`I8{Wc%X* zFADSGr^*_F1B}iwD79a##Qjs@uZ;w31jOeI8uxloFy%)>_dBH0uw!ntaOLH*L|;?v z8+Yni>kzMzPM>yPk9H?v6NTUNr|r$U%_DZit?G}p>OyHc1>2Oh z|7L_de*1-eHwvCQj`{aLE?k}2wF>X3WGqIXRwzs&&R$)$P3raE2lZt@gFof6`C4_C zZaj?PUd!i9U#fT*?KKKO0lpNO*8xI5yd77ulPf6nUc zuFvRy*p&XxvQwBxhGi1LK>73h4}ogtd36kpxPO)CX*UBrCLnH?3unw{o#Jlf9~IKj zCsi@L_Inxc-NTOe?&e=T#x%;*LPc#pOq&~P0ZOMI=XQz`$z&aj=0?5=lT1H7TB&)SqQ}`#fWhne+^8d{@kNXV-509x1cKJFI;EDvlfu@B%1VRRPQ{h+OJ>1&q#Qri|rb*wT+ zH9T3tj2xEF@LRfVS)rgUEP8s*NPY}|WA9g342aGlhq0zHj~pCYegD|QR``)LJI9W% zjc_#(Xjb*x5#B~ku$`47{O${@oLc*5fC6I_^MBuzhplJ!bf6eLKJidDhkZOFT)yoeW%%z&U@ToS)&gerl+W?Z+l%7@1U$3vA`CTW6zfj} z6=KJ)Eo|`E6im~(FE3vlAqSeQ)HG>{?c<=iTCzoXa5J_21*hOw8>2yZ7HH&7>Or8@agoO^F~v1H^-=devjkC?F{jg50@0yo z9(;a;lsWkWN>WeZ#?8?JEF!^xW?MubyO8HXP7G~-h&VM*!#ubI$MuAUhpZoDw;yF& z%ULvzY(TKkoN{ex(M00|1P4~HO8FdUV&xT~vXiCSKci*|wGWD^+f|E09 zY2+yA|226H7gma?2|Z|1WV_X^qzWcES5CjYBa+!9ze;Z8eN(}0eRx1%As`d<3HQ0c zHAoRG#y!1wrmV6C`g2ubpnrJ1Gv8Fs(udc=d-7G^5Q9UJ=j7%B*ACE3Qm9`PUBXLo zW!Gm4QL>D9@O4Fisp4-AATtrK%SAPRGI}ee+6f&#AMK}HIgo)`bTl$9+7`a8S+Dix zfef5;!KI;dMsG?yjxS1W;;UM$*}3eDxxbAKoc$ZrpD%+mUeRWOZn>3N511Mg#Cpsk_l{qLW3k0{lpl&P!Deiaub~bXA^QsAB7Ar2*^9En0RoQQjekt zxV6hTw)#hV%crM8y^PdwU|?2~sDYgp)UktYTIHuqy0!v5+1gf?8OikbVng=Vw8F<}xSrmT;KMW#21P1vzbb zU+TMrW+|x=)?CW@5L7%oSx4UyeNN;kS!)9zayta`)sx}Q8Sn-U9c5zP4*}oEP!aC| zPAt1L7#j`IeinC^^mcW1IG!RpHNz{FwDm3iRBOj=YU_L7ff8&X9@-9p&krQHn<@aIYUhEv z{54=mO7T9ka;AlPxs8;AnmO5&goUYTuP`J3bSSeAb3+0~aINNk5W47(6qKSHTFG__ z5Sf7L&-d23p}(ec$4AH(D=Zk>^vGMra3XO#`BN8+XWfJf_cP7DugM_`uNN>H1M-`w zd&D0Cnbg?Y-&S^!gK%?CUmLX&doyLcfgl~_K^17Cu@rT7>zUk3an+=Yfi_2vxsyxV zJ2|fyHJv0}ShhAB$1PqQD@`?)V@B~}eaJLE-Cf2=Yp>ujWR)<@%2R;6L!+TN9@sVu z`P@U5^M;K%gl;Y6cMwU;5+;U%j}|c4Fll5;C%_x%^)F?LknoSBcdALU(Jr@w5XD?ggQ04u zccGdQljO+y@e)>E7S^*NYjP|i1do;mQie!oXD|PxCX)mlLr}kZsyJ--ou=0 z55vpg3;b{$;cgT2LeDkAySsdqL-g4Ol#WHTaC%#VBeUcTbP(+yc>h(srNZ836SBst z#s{f73t4Y;=~BdU%67;UzLOLX6fwp2>FEG7m!E|Aj3IF6FPZ&pgoM zExbDvSTD0~I!mw^T(so)hSj{QrnvkE@tizh`EH$4;@Y!HH;rMg{M3ji>~<{HRdAfs zGK5R5`f?Q$!(VHaKZN~6_y>_V!ou2(M~^T)P9shOLtrQ25x%lLi&Rr#66X9|(pSdM zi2C>J;&V*ocvEBom|s^%uHR#>HO5z9jh2TEZWnrf>nn-iy(qsfi zm;mdqcHDTM6=l)Xt~uSJOSQ)9ja29PyYAUF{@~c<;Ou*!QgULa0umaNVW+ubQH4^- zaz46Nd-@d8$px-SBH|s}Tq)?>%%^l?Jp^r6K9bfEp;m`Ql#K0t@5S!q^Q?d%rFbV$ zH-~7eDO$Qu@D)jJgrOuOD}dEPqu;3o1`5E$0k>_f7u1od|3=TYxPijSZvkNwvR(r- zyXWJ?VGB+OlKx&t*1;s$O@Iy|-=YB%$UL=D3(|UDUOxuRQseBub>+^oyvfJ>R|0x?al%cc28W{Q>C| zxLp-{%NVDWzI&9mu!wS7MeCDxuSIshaz6f<^*@{(H1gJdtyxt^MW{yec;25pyBFi% z!L+1-Z(fSOE))x}R~<3^2|?ly>KiP&KP#`^3+H0$f)AM4`6qN*)!nv?y_6ih!^XbMP-_95CjgSm>9Z`e=jDClR1Gp)3u z5pSKfyNUJGZ}ugo5maA3PNEebaD$|wT&6c(syQWF&^*VY3*!WM5*7w9pDy7y= z==i6wLoSkHF}_p=XLuYfF$h24+9)C|j|WgEub_i1w3jh&WcThJ%ybYwNBDe}WWm;O zG+;r*!Hqy(cpyI4K^mPonRV=Tf?lv$TK? z%7JM1qVv}Z$I9(~B)VnW(`5OrDbXM*TM|AR5$&d8Rnf6g3gZeyin5ZJ@>y2PF{CEG zx;`~v*hGeKuaf1$!9+y42KjEF^Q9@f*;rtyV0;vRPfM(zU;k1NV^~{PTa9xG3k%Cb z>FHH#XB1|!9t@`#R6qo~e%#db<=mg-Tv+7_mzbpC1ayl6#ia8OuUT0HHbT1>jbvhu z8x$+%d@q%4XIBtpDNn*42vnk%XFzSL7)hDD__Ep~?W87RE^QeLlrg_peQutI=lkw; zPszRXlL+{(ErFuoKPYzn7ND&SHNPYteCAebQC48MPKF;=!9Q%?Z@!DY2obT|otSrS zOD^qLW|M3yj>3P^i69xDjVu^5xX6Q5Uh0$*qyfJSVv&>pe%8;S6b9CkqWmwx*Cx0@ zJu4nCfT5vAlND(J&reG@>-foA)@Kycd>4Bd1durh1@n$044A;;oT;upx$KD|%GqcK zRv)06Q63q#Vc5OB4epVE?UuhFNW%(}z?dk<02+9?Ry>Ga^fKj4sbFpJpfyW9PW}zs z^wGu*3%LDw)jAw;;&kM=#koB^gf=)LwCK_@K9t5)k301)mk?=>*{=&>|KdN`BN^fq zy3onHX5>yy*>@zi{MKYl|4xx z<=B)4?jS~rz#R6{@D@b{EReqrBZ}AEj}KbqhQI19-;U~;2O@8KI9{#GEJE|IS5_Z= zn);EiMCT9>X|OZQ@MwSoZbWyEssh`pM^TOQYwMw=f-SxdH_S?7B#vN(6y*A^_ZG*@(cOkH2YD27(Krip7X`$@wg`|hH zs~eX5HsCN&06>Las1`XezwPW}Guzmy$Z^uEI8D?Pc?@A)^frKEiFdvM{xL9K$PY8k zuO8qo9`ZWx5o1NYMHhi(ZU=KKzv)5vaPh%&l~i{o@ExDun}i>m3KOLgxtCDSB{fpk z*1dGUdGFrREO82Cs50OQ9XJYY4!KsF&P(_xnF9!9q59v)kqwQ;$s(h+v zqr&8b;qliuy@YUCcAw_O01bsKlrdZG4qDAtW*R)!fJ;eZ9E$F0;)p%?H`aCa7s@8J zot7yIQ@J}F84_A4Dhqm8*mR@YhXXqO*@TUwzSaYOl*ki5>bRO%AJ32Ep4wbM|fVKp#2+|sdawbAPYYQp15=#i7lg@srB3Zqq{HF`ZGc4ZR08a*J?W8g5-$}M=*x3Wg0}`U- zRn8o_(q$_mF; znGFNhDP&#Zs0@zF;+L>Ivh;b0cJAW0BgJ@q;4DICtjVr#A|}Gbp{k#5I^zHl|5xXC zZBzY)r}~w-Dp-B+oqetxgT z-=F(vw+`ds9dp$or$HpO2l?m(l+?(c-{9G9q`B)E{pOds{DKREgFMN^$Rp(!z3}Y@ z>&ZluMCZ9jxedZ-7}X@bt5*^X*?co7h7cf&LZ=v`xTo}YQp=E&p!o3?JbMOy2*T%) z^SIE|Aqo|o?Z5v&n$E$m68HJrC);*yZMMygo7-&L_Q~yL*V(w4+h*6v?qqwju^CUF z@9X#c6ZhORbItX(k(iSk>np{@X2-WEn9;#@4#EiIyBTg2)*V358;lEejNKaHr?RlF z(6KGJYmzQ7{kA(M(b9Ot>% z*Tw?il7wdynn6*afoS0~}@UY%AVlgZ%%NqNNu+SY47}_W1J(KBSa#PcAM+>DZFOk*-mUDY-y`XD=<39w-gz z5FdD^0t5Ji{>$0_nCf=q>E91n z5KiM8Yk(_($k#wjtId$!n7QgBHQ+FnIi~0t1KmQp(+603={U8If78sA{SC2}5tV^L z6u>P!M9K<-uY9#OdHG5AC|myEw{X_m*-=92bB0mw+hWLKQSq|B`q!fn`G-gfC^5Vg zcA}6E?UO-=4@VqV{$k~~O~NVsSW>q3!IBm|<)B0ERm$iz03r%c-jX=QLXz1cA3=|H zCbdWXI$KD1EGQ`VnL0S#;7Vx%rG4!*=Eja|mAKCi%Z$}JRDIdmDdTOVMgBl5~plBU>=nE@9(I#p--?`z}5 zj1@2VkVOI=!mR{{Xe4F&Zb0ql&iSSf3?xma217FLAEg`~$U#_E)LT?VDv)`+cLMR3 z#J558<1%kY3c|CAf~$C^63_yU^(Hy=oP%KfUunPvz5Mvguxvy$P% ziHUqKC-%~f)sYuxtIq8#K=MokC*pdYQ8Dj7X>HN7!j}j~J|)a2(nI|TPx*i_*Xs6o z=9pMc1;d5>3#2HCty**++Ejci!L#N~44M!WD7-Ltl)ib{Wbd4}JChk91t0Yu)GICr zbVOBLQaC(&w5~9_9H=kg1z`NiIXa*6?gJy6)_Hi}W78@sF- z47bcb#*26;n>LMCw6CjqLMJRx#bOwAy8YLg(e+Sm~LwE$kLzsalKBS{ELty%-YD zxNIDbL=ge1NgqbbIy)XiTbWUSn<+MR_>68{q4*Dd&6Gao^f1)l%3fl>6SZ8sL z-aa0Z-5j7LEky$qR~xU@7iK!=O7l`4QP0s#0(4nI9qV(b+3Pj1#4?YdUC2MN7*R(F zcgs;(r^dQz8HYYj7tbA=>8)G;99VYjnL~z-6wtIU33@W_dD)ln-W{m^@w3A}lWUbA zlibnlJ#54+8u!a~XvM4}uxTqlhY(?xmNHq)g^LsYEOtZx_{MYkUf6z)ZZGQg`R{X$1x?sopLq7++ z-Q=m*`Tci_ZkwqbH%#{8Tk`-W<91B8;Dr8PxpU`*9xy~OR~hZhm)v#*q!&;YSmg{c zFUS$x`l5a1R2VaX;%v&1L5qr1ZI=UoIXc9IL@Y9b*0#DWx~UE+<;iP`HBBt9TgQiV z%GA6Op}t-Y8-u@oiMVbtYTu;lrk|z>u@FRQfDYC=e2u1H@>$hD{{D({bH(*VU{4Kt z_0TS1fP3L2;kukB{#r`{$L~xa>W9o7yAdp>-_e?(zY7x&T+@Z0n~pe4w4A&t0Ruaft_DuD>$s z*hcyrr*KiCgA)|G>1sMR=wUIns-ZnQv#>DolRE>TxLce@P2N~m!-;ILjAuABOFCGr z3&~X;YTM96&mDP75j^AvWx|^+e^X^zZHXRO-;UkOcr$;%>WKD7=M_Q(9d^w5 zFqpT>2NPW!YIALIB-qBs`n#rZSY+c7rrkGJwZ;u?t&{S-aQtd5v&zF)ZW~}_z8&vv zr@j+NEFJKsvnAHK`cr}?K1E(4h5+k1Yz&E@{OLY})9Rc;D2cx8~V+7Hb1>f)!a5}?Bl!EmzNFMSd)3)yDchIm~F zhElSFf}~De0UaYa_GXMq^J7&a8#-`}wvpg(gflf*bRU_KW>*lv7YV1rtbImJ__5Rn z;4n+gil!s%8d4j=q03A=46jTUeaoVZJ*v9!LRjJTx&Hp)D-(iKF86lXZ!o@F^FoxE zq%?S>+)enR#26ycNQ!2sgM^BnYhsRbR=IQT@1&y7gvs(`6z@Ct@bXG+N=~&9S=dCh zc8MzgxzK=#E&t==x0P?Np91=Wzi(<(@fQCCeRV36a#fWfiAjWM(IbeCCd{)OSw*ne zHMMt!T!WQ2WuoPyTw}YK{sR*kLh-94pt4B@8Sp6C?ejz#j)=@+ky*6Dnx{|r%kl{h zk_9r~Cm1#ljufT18++T7|MlGq1B%LytAoJ6`ZJ6`hYJ>kcE?50C>7DO67OEd6vQgm zc;>fA{M<4sE#bXOhHa};*~0#r&pGS>R$??k^q!xRD%T^i_*5%(+{uu)JM3(hbAVA` zmBZ?SN!yR|mgN`ciT1O9CGu*48|6Io3B;45Lo;8^WE&}AJr|#210XYx6fL#-OoVLv1tZNdv6xeIzp)`|?qbrV|eX~2Qer+wNK71mI zl|I78+w0vI4t!^DG#5}m*u-93^j`Lz<5dcY)9ujh^lo5Dwz>|`?V1R1@=94n(zN(6 ziGlJ*p5*(FkJth0x&Ydj>YmG6OM{0}UEIA-wrD4MgNp|(c!8)4dW6K_ad^~8b{f`y zrr>(I2fZqGbpIB3!s2t!m1!8v<6g8Wdfn9ylCi-AjdurGz;l)n@MA9DvRPo{!Fbk(O;2QbP@{ z!5M7BDv=!dIbo0z)W`G1&}(79&o%cU# zcR$U4od0Uy@k6XYYysOSrnDaIw|YXpC;FS94?$-a%j;P8%h#tqu@|Xfv%@=d_zj>UcZn9 zwEk3Ft>ihZ%@kU&$g)*pFrVCEYKLT3N%F9`6%wv50?L)a#>8mFtrq0WqA*c-gP;pO~5M94BZdQfdUh2i*;@tz$pDWd$gPv#RYP3trm$k3oOoP8)>s1xP zbkLofQk>Fz?3*$_DD|Sa!#=<&_FBNcA;bdNB%_lr)A*EQZKTK?dsj46t~quz{zehg z>h*q#Cj3q$mJL#&M~bKPfUU&sO!^cPklk+X@MdS;C|HU*frid8T`Xe;9<)onkj?*O zl^I$o8XCmXg!H#%GRF~n(=1glCQOzb-Ek~@c{rqp)@mCT(fqW->W1fqkyV@r`4FlZClgk#B6@&KsRH!BO??b#YAyL~n|q*Rg$Aerpq?4)p{qL4 zFA0pfQ-xX7k`9FnR2Nv{-OmqKEJ!MQKEKse`t?4|bd)=m=Ds2CGv`W@v|_l!LpFb! z-H@}_*R&4v^pI!u@X8{31)3mXH~F%xUs2W{KF{-PxA%IryVuz25hf%(66bmDLRp<@ zchJG<#>M#V9SRB5G}|^_80GQhF`W?lPdTOd$*O^dzPY)CakA)Diw46JQC~bFu|F78 zzS4zhcn6Z`Hfi=K9F4zp(P22wBIN2dpRjLi5a^`Hi=VT5wk&Q5X(B~h^dvP(``W#a zh)Z+%yz}~O;QLP6`Te+PP9_Pb@kHqdW7|IYNvGz zyNMCuj6OG2+PF6~Q;fD&SSYd-Ay4Wc47UsAK2Im6h{y)J0&tHe(kPZ8(|lE(vx5fK zJ=!31<}MRZeDr+M@+YKBaJsTT>f&K51T&yh8^Q7=fgzo!gr5gf=arMB+j`qgVQA}& z#85Mb>t_Q&rZ%Mm|E5aLZ{J~5M_&XDQwugFpiJCRu$9B`E3kAfg-^m<=uF|ayrZ?O z3lmCAE~s)xnAn?!!jd-qxAkWX5RA#~-EEz6oGYfN#~=Ji&?I<1NgWfE&ukcg4260x zSOa`XtpiO18dv2A_TPDcyx99Z@UsU+T9t0~fp^2ItPnZVmFfb8A)9;r+1!{-{H?9E z6_~1B20+i=T$UenwHS@*h!H#6L;)z=0b$F%*0?(~7~GyoFo>96JFhQ(az(hc^A_#= zi$V8digPM}z{F>Q4RRQUvoGvO?!N1X<^u8J^k&}B+2wrKj&Qw%kbu9;ve)}K2}}z* zW2@Yi(b@3rHX(h8hpL+JcMhyRta$M%{ZX&Pa|e6i)>d3cGKB&d2X60iTX>aoaUav#k;)(#f>AbG=>yqL#f= z6(Pzls)@D8|5MJ82V8=WuR*&X3W}LA_4@Xj0ffxS9 znQpH;1l@#t0Uused9h0vu|%Wmj*7iz4)O62+-j6Wj^yoLUsnQ8?avv z0A2C~WQ~u$un7?HWP@#lXBSOOzFt*1M7nuOaZo)l9L)Hs0r5964H~yRMBp!)9$Z_| z=NR-O1|eGgUyx*{4eFjSyuV~Nb{=?UgRhi_t6PqLonN$cT;vp7&317eZddZa&ybmE z8xp5z@jsiC6)-2x6-fms;9XLaPr>YY&A5~k{eF*rgcmQqyMJbKNr{LmlJ zHaTVtJ#4ayqDw|_BvaES&nr46w$r&=0>g#rIrvFcW7h`mx+Jb}R4P95J>2V>4S->< zK9%Jz+W_2Lr$9R3M%UJIHG>S@AjcvZo?a=PFXN%H*x9kDBt>OMHpbs$W(cU;V)MT;PA4=wO zeWe9O8xzURF}7xPYSjUc1AvI%TY;Y6pkCyCz_H?u?>C{gmqi6^YgjGsZ_l$oH(&Ni zyu@kW3n^X?(Pr09fcrVw#A?BH2hcqzs@BsUk)|y%Q9@+BK zYcRMZaO|NHr!TZZ(joMQYpqJbHba-wvXoB`fIkA1;8Nd#2SFHk^r^!20>=QO>n7jf zv0xyQI(QO1f>R#!_neTgctg?LpXYnUlHHSZBp?~F4>lY2_#PLZ!W362e8E(_@!rdy3`XPS6o*ml;pW?#U8@%}I;a*=@@|@)2hq4_~i& z`pO=OiC7z_FD8(O@qYH2Z*-(fiLSH>=<8`qrzs16P)d>tH-XWGSAh%NR_1LlH2nvB#5U{MKR+C@FrU`ThkuC|J3!4KJnMN{^0RO?RrBNr%Axt zH@47cUxUVJjN%Y)o4JQO^VHju3$slt0OLfcCreFeL8Ic?EkI!+(~lB}5sp;ZvW zBmu@XilP!J7F+e_P)kTcK{WTJn_AU`!eQxADJJ*qxAQLT>EXmMZ%qDe$0QbZkuDOd zgsj?j9WV(q-#`#>8w=T^D8Nu#lx-P+2o)~A>IR=}&CGp+uQ%EztbA7L&AwFCley?| zGISAoZkx7Z4n(o!`?`x5g@3#e_k#ruLll?XkMw6-BZ93q2X&4U3<`FYl#dZA&!Q0RE59kuH5+B_IEsd*pk`QEvt+qCNO zO}`6ct}XV4Nr_u)Qs%!Rbgg)XZXAy$GWR+YgPW9@%qw^?i5&IJ`$4$OmB{G>lAH>4 z7j4oSWt66Xh^~E~IM1v(b}j{@5`M*0FJGQE=TN*-0J`kSm`o=y%!;qpIpT)%MVi6Cg3KxWG%ZA-svPd|D8>*ifkv!qEl)a4R@g<;mZp+q&9VtR_NHxTB-`1k` zL8@k7$`*W%5mk^gEnQ-Hr>z?;5NfFQyN9@@iA_3Vxdud5ZMcuU%#a<$CIS`!r|31o zoH;|){l!m#1tfPbV?9pwT*QH(a|;dDoo7bK~LOoBiyyYfZHup;5^OjCZunT7DZ{w(hFFC1Ncv1d8k{j}pzP|PxFCPwh%*C=Qct4L_h_fZhO}5>z{~a9+S4Rb<7RXCxe=h` zFU29eOM?Vo=*2>LqRRnegT#hdG%|2L!d@4Te#e4jby&2+IF9)2U22%o+My8D@BB{& z55g6aU|&pTVIdgau^4pMCj*~!D&B0CzQ)rVuTDyvNcnxv8LU}M>sVd;9k zQabN1W?UmPxOFTxjSPz+=1FSl`p2u52t5VGxDR3@A7n6{(SJiQ%kt8z8KC z^u^;StUD&)zO6wXZB*c8l4o0sj~!ednO{%{L3UrYsLm@4r2E)v)kw zXnP>+-~e>?uNu4UlVqZbV2cG)bWhwVDXfm#T^{=DcE%;PO}ip~1x`?p&{rfmH$g;&fk=z0DH5E|FykEtS-$+^zLPcU zDf`;Ssp+OG`)u8UhS~4XM+U*dB(8rk!Q_O-ua}13ZfM_cQ9RiXGcPk|l78@qTCvJ|26>8HYI2b7GG=mz3)}EXWQ*a4yvK?CEH}H8 zcz78q%Qa7Qt-al{qhjHjc%>R=;g}=TtF}LmLWrT^qv@?z`-R&~H7~gENXxs8hwwR| z_4z>qX}$COhXc#xAzwNNwC;QV?q(MLhhgdjn&4G9aM@YtRrlLTcTieW_ED}R`2+l zRQp%#$;7G`p0M@HmRDR>zmkl}e+AWtJjp{i;s3h;;=~=NKKa8(uYmpS+pj z1luuzDS5*3!uS@)C#NHd)QU9`>6|uyC=anm(ivucOO1#J%ux#3*`&)a6NVOzT4)iRLV%E|u|I<&UXDIku9`#RenqDvDlMIpD zQ-Gsjn4Wo-H=cO%rg}TBsRqyBl9Ww>BOfpUn^Hqj6Z7{Z^i{{C@V|m>{mX05eGl{$ z!b%p!U}(%^9QK$WZ2?rzWl@#SEQN>df0^t|I~DBId2z;r%ZLo zz&@X!tu+$|^_oEkoqaq_o)8*7-R-6OU~y#skVL%>mxW4QxeYTnUhi`paYM?Ho)8C1?=Q zH#}00fW17c1q_oA=^hPWx&TZ1pDj1!4+3ij9!Mr`0k5zelbn}qe7pSV?_>Nd;p$eB zc{q`f`aTb(*cqNb{3(U4GJOoS5YA+%5M~ig+)JvJydhpQ%>m3C2Gu`*#0PN-2h=^ZnC+cuR{6ybZ$1O3&`ZH}PwgO5sLf1JxM2NuUSLB-mM3ApIW%M^{!6gZGi;EDzS zf~JUKbC6LXo~$@g0#W=$_8LVV3Mq7KLJ`+s|D^>guGMYE?q#M2M499TVaN1EaUsGc zg3|wlNY{VXk_~KfK@TU%Zw*q$FbVKS-9$V8Sx(v$j3;Ut4&V3^o2>cXC* zx_~stKSWh(#AAhG1EU!?KzZ5>Q5AAuDv52U$G+F)pB5SCdQC>O64I1HYzA#W@P=5! zm8BLuSslN<6FB~bfs6!IQ<*qe_Qu(CYJYjOClinlFl9Ec&?=lt{tSxaLnLOrSpK9u zo978=R3PS-w_S4wyW*MlZ|ay`p^$i7df{b__q3wg0^hI(=%*$b->5NFI7oE>=( z*$)2lkL~EKnoDS%Vi+%@p~3J>J(nb@OPQ7mZ7?Bq>%JlExBoyJU>p*IsC!}KyXYX2 z^TMBDJ~Vg$(P@K(s|e}dB2)@U;#~vjG7%50{~QId=7Mr?!TOiRCJK{3c}gwa^zv@d zLDHOkr%#bci>{bdKgg4LAxFrnz0XzQhV22LITdu4P;h2d6vqNoh3XTu@`M$#KS40X z&Y11B6H;>C8gqT30vISwXMzu6>e6PyImVd4c%~FpII8u&Ac5_2!$3+U@AG)Dp7AEi ztnZKKNo^~b33t!hY~efs(G2^w{e*w*e+b`TN`(-PG)Ro2j3XI7g50R`o3FDQXQU8A zyyM~y&D(jo-xVk#Kr^=YchW@A-f%Yyj@O|D)=mn;4#x+QEK)}B*(3>+XtwM0NGzhy zJ63AK<_&zHQ;J~GueIfCH;hk?q6=XfU!iDrwH*_E92rj<$A7|p_L?W>R$)C^5mr-S z<>kAgwbW|XEus4JJMoWrLAuikt0T_kkPi>iXI-@2i(S&2-ba6Ysz24D@c*bEO87c$ zSCwD>^F}sZfd=Pb_q__>l&WcWS_G74b?KmG1BqZ`oTxB2zE-Ol@spNzoEKSSj0XL~Bh+5hpawA7bkj<9wy zr&y*F<-n%NAjG|Y`|3Hb=KErEt+nHj-ea_%uV5Jt7tlM! zkEcf|=yLc879IL(sz+>7l%F(l>U-KYe^eohft>LLM0E6JXbO^uOOhl^!|@i#{U}%0 z&)449z_-f*+8l!L7Ts{(m(2X8(BzR&6C z+*AlEysM^14I5b2!!6p4^Zg6D`(yJdKdx3fK6mPZ8L)C@GY0H6X|*lGA2XSP;NN%J z*y!IKY(M`R6Z1WlP0NTAFG1VbOjl5|MjXE8d{@;{Kx(2lPK&z-Ahr6mrU#4{go zD8`fQ^GYz7D`34(yUcS53U{1xdj!Bi5NRBeP(u3f7k^)fmDdPWNZxpm_#>(4>+A2q zpizT&2D`J8v>i;Isp4l=a)nu77(#|VDOS2;-r&yhY^K*lK8^Zx|Am6T7P{G^rT5DE z&^!vjIIlCkwK1+i6wO#uX!Hw(+}LbFF-pBo$46X6I2Xb14n!BsH>3icM%KnRnkZ)H z)ky30#%m?Sv|PE2{Vw>6ffx2rJtnutzw=s?_69^6=iLMROg@65@51%h%75o`q8Rp) z%*eC`5~(Gbg>KSM5(0Q0T^807J!cL%RXTTZo1?sPzqYpU~-h`9T0%&o|yuswNL+&0}4e0SNhC-vBKd}WqS}G)33DQU3s&a7AZ8kBt zd9wfF+#xac?Wgc^rQ&yCZxMl^NNbenJ@xY!n-SjG8(Y( zEmO_)lro=30u-o|i;!qU9G9i*Bw(Q+VjW}cYLDb09>+UjD0tUJp}L!h6=U70Feybe z#jptN9Hx;OiD|&J=u+hj4%~pE@&FK$#~KRcP19u+T5eE@l0e5TKy7uOacR!`_fb0@ zWZ^8$6_tTJ;7SyqOF2&3(IwD_bvOAV17PAd^9@fj4?B`qbv$(Y6gMcdQEGz@C}aOg zG{C-^9)?m#P`|XSms{|D*d6ICim5J*)Y3W0h0%=Lj zk88a?BXI5sxFoZWhI#$>sxeW1qVki89X?51>Eb%;hw#hDxU8?{UZvAUuiAt_MuKb@ z^N3&n$b(M;AJiU`I}w8q-&{b3zlYM2;`KiwwuA!d!|A%=%B*P{mX9djS?^r%eGITb z@5kt!uJ*#Ad7J!C_dPdevmZZ>ZS;7k&f7hUKI=h2ze>2>(JL}^<^hkPe+MUWv^Cj8D`63A;bG-Xf)oM2- zPqvt-Rpm#~gC=AX{lwyBTLnyChOQ7;y=LbI1qcTVfq_F0RGCtFTz!^kcXbu@r)aVM zg<=TQ@#V^j?)dRUsL$t2Y=vgyhq!EE0wNNkth>(t4vv|ISTnkLHf|Sq`cWsX4t zxD(@!n(_d8Al5|~VWNO9+;O0f zuZcK`ci5iB4kNAY$UB`dug|DRY#33T0&Vrpyq@knUoyJFK)f4o~G zh>9{>%W;5b_G@p`KeALBaDTA)(+C*XhI;)}3ZYoyrs^d!0ttcL>4UFAMPYfB-ju}o zyO9u6&?N>EO>q(>za1&UOmD3!RRHW6^!E;;qE^_Lt@U}**)R0`fbVP0y}eULhde%p z-z(VV4@IK`YVz|MKmoDBKf&hNI0X5WvKJcoxGJJ;vL@NSVO`f4-L6IOxt|XUS_UX) zi9`3tN}CUyrH6Hg8b3!SHcxM$5aal{ukwC@PW~%d!)SLZX}3U37Pl4BVvWC!0DmMe z4FhM^NfA6`v(nP_q@pvOPicGbNu1*6=#mpo)$$Y5o0Kx|KCWsNg$ZSchGGC~A<&8- zan{-tG7yG-)XM=7&lSC>!s$YF;Q-JHLN|Xwa~pQ48+S#?tp+^c#C}8~kVANQX^aUZ zrlC6W?^gj~Z^V}_o-2iqsuR(6aHR|vLn^iEM*8H-o@BuEF<4BFm>I$N6Jde}>LP>2 zTR~g4bGo}PWF@+Qmv&gO3g#`d3ws@iFOXv?fDqpwqp#k;v@%=-kN=8k0PAhCNNNmW zCYLG3_8rgX^NWZPY}pC#WY5WNC0U38ox7c1Psn$vnIrxjTA$)zI*we%&xrGid-?)-eg<AU>>RH0If3qRSqC%Z_k z3r(ZvxG2)p5#j@HX7~tVfO&#A=I6)RidpLkD648bQ3a>{(Jea-LnHiU>M9zST;XXI2o=ER~~j-@?ALd0P;mBd#Ga0T3XiL|RTJ zBt?E&78?vM!>1!oYdjk_H+$o#PEY2jYDTqE#ScW(sQ%kc)#F3*!JyfkCeUCoLJFevU^~q)b*+ttl(@WcQl4gm=DvF5eS~F z+{*7so+>t$e8RU1hJmouKW0yF_>co0VPY4%_fO>&yH2NWrd)ka34=b_2)z+SHIelQ zbAN#u{}s@P4TV6hoUc1u6zXqh8o#2~bPpT86zRqcw9L0We91MmCJPQiFgXY~ zV?}Q`GmwKawR)7xwE|A#7BpFbv1$;XF{f=|7>`hk^j}lL6aH;POfJ@C0dwVs)-Mg4 zI9(K`w4i5B-EFZ@fB5&6$`)>wY^F-2pE6=Jdq=v!u&!WOtTRC-#C$Z~m^Vf3|xfH-`XV=P&y6y8wN@P)91c`afJqMUX2dtGk5Hx&tVHhe6`Ah8_5N z)daOla*5<0Ie4)%}Znixt5owfFuSiLOY z9i0!79x_4sT%G`^Yf{-yawp0nNz@zuEUzjFK_UAt@;5iqiZaO=1H^w$qD6k{(W}6lE*z<` zWOchS-ynlo(dAj@&VI)Irq;y5T2)9YHTB8#FWFb3#RV*~A60x$_2tqwWT~x6GUkPb3=rQZh*Lui&6Xe9P| z|42b-IqO{PJoo&sd`>vpz>T%1Y+r8oCDJ=wKd^iv4MT4s5-)S^*My50y{yZCx)zI} zWPd#O?iPCez&6R^IDH>FDX~_J6(V zM_tWH5O=h7KE;d3XLuH+sxrjhI1l4K-$-BxUYjwQsSPG4cd>)_Rf~pa8R*eo{5aM$ zpHYJ=r2Hy~n8EZH^$!&T4Ws%jh5(HX#TX@AuZy(J)5nSXFDawGzqJ>?P*8Z__f{Fo zZ0Zx>t9euD=Io+{9S3km^IF9UA&b%SwNtnyCL+!5`5Tm(u_=e!B*(cw4hBhtpU|4G z9CCUviGGGz4s{;t#ymo=SU&Ek1h$=MH4)gV-0a48f z^dFzTW2j=1OT~%*EYi&KY6JE#c2EYWvw$)FP!xX7r0vKCMcY9UM^Y{Y9%H(sS-Vx3 zZ@a}`DIZV0q9;Ovl16zlLOA-x87kwSqq0_zMn`GYwe1kL2sn1XFHbYBo1Gvv}tg^?SSajuAKgWv=Jim5Oq_Yth%eSQ{8<~WM4KI(HK>S!H%R9#tpp&6 z_#+(%Gxe`|sKm0@hbm}MLVEx){DFFXr8f;?75@hIY^bmuCb4!+VTE#|aFj;$>*~Gc zO4v7JpyB-5Pu1S#f5j!)CAb_)nC7e!@PwM}%Y@o#B11y}MaQu4%5ue$E4LS)3QwUKe{?u^rcJ-NwJktK9Gi5lyb_a8O zxY>*cCNekfqbeN}*=FHrqSXjBq4OfHzZUl~WXOljLl zLQ?~nxLGQe2|vK7-m~-pwck^U>~Hj`^TZ1rkDA(S62N~Q=X|*% zZLsZVBh-oZX>Cu)HcxB>eyMHtQN8-;6mG8L3kEuTW3K6u+qQOUy{INa#f;yNC;siHnAOFZ7zO4E* z1MN`y`$VI&A%SDry)}IjrU&hk1Pn9SlM~|WaWKFE7ISgu`v(;oa|j4(a#?YrXD=sK z#5pQidshnPWJi}7ZFH#ZF8O$el&l>^CHMkfd7f`>L$0X=nCs_7jKd+IDn2`-`pud8LWYL^g@KR4PoeexM}SMrt+J2Bt4ba`d{*EZxsJM%=06_<2!;I)2rm z(urt<*8%_S0q8X)NE6Y!NB=*j-hsOgt_#=Rv2CldZ8vIcHnwfEaT?obY}+=wlO{WE z&}7F>zC7>w&KT!EtTEP_bKUoK!CQ0ObDUcHN35m2C@)M#j6~d`v+zXPZ=e;X!Sac* zpmVG+e`6mFU|Rfzjx+T8y7D>@Y@~;KLiJiQom*-_aW5WPp8}gg>*iFs_tZuLb&4`H z&Xc5tGscj31)DfVV2&7y9|q*;y;_JK6!fiG(mMWWGffstUb%_>+AolbagEhU>ccQV zcb&;BkwsIZjxU}Ep`hE&RV{jbY+ho(fB9%M-I51;qZQ)jBO|wF?D3hzAi4_7QUH~? zmZ9&f9FhnMl!;$o)A}PPEcgFpSw7-N`bXZ&++IG_@&ORY*HTHy&AJuHkYzgUo%@ME znbr)*j@pa+jedWlm>dvY&m4SD$^i=?`+fcp-b-0)w30b-o z`-88EG|S0;F=?cYk27cAs`}dbs6$9(ChROc6$oJ8k}RaZe3lV zJC8~)2s0QynM&z6+X!=d-lxz2N({JL-r<}KoCXA^x3;u2(K6R5m5p*ki#c%3t6Fuy zJx~s}th730!DZ>~MEqVo*E1oJXYU%-31cnzM+`xzY2BTuyBM{EEVQ)++--q=>{#po zY&^!a@B|cv~-)A)$9bc=LB(n;IzgaD9*5(eJnoD&zDMnY=mcIb3uJ zH$#2O8DG|&8#Ln&#W?oC(H_l^tLH!1&g$PoA~_~@HT=->Sj44;t5tb2ovq`^JnQ5E zrp??ukI6y%RDhO4V%B4Bf5+CkJNvTd^)>LmJyZ&xfX_|4{2mtF&9BmIFdCdO`vR#3 za(q7bFyMG$NC+ia|Hov3*zkzpf}9C!RuiK{MXwg!4F$Xd1cY*OM_DXmSk_JNP8Vh8 z21um%SVf1iIsr6^$j3*}O;zoM9~aA)+}ZKStPikcY5C6)=|}5LOTrar;#`q<9@O$@ z09Up&;Q-9?YzJLP$X;_=2Yv1dC`Sk%MtX=>GLd&Y6U3qOArz|$<>;tNwd%>20c4rn z5S2bW1dKa@n(0I&)mF-=3}ONK-?Q+au|(un&E2SGO6C!6e20zw|HMW3d<8k)<46fT>F2p=PBo9<8m&` zPzmAY;LI3)*^{l1Gud~~hnof9qW>T{1V*SMvyHK_y{&t3<}(~ZNvgv{x_~y&*WsQ{ zARzBd;5Ro$*AEyp+=fgkkK?8(4NM52A8oVkmXVpVGm4(t|72F05L!x|lz<8Y8UyqT zyt2NH541gA+yOxzOa!>n++IhmLGKLGn3XoCO+5%xD&k_US-|h8< zx|`9gKY)LO zombu?zf^U`l}(6@*|^RZsx}9(?cBM1?K%8#7$JilA)LV?W54ps7s#2wH@twFGn0h! zDC>6eT;X%GST)gb+qYF#QT&1204HPM&Ctbs%3PWz%(@h}(lvPAq{Gasb&4=;ta;Z+#OV;E72v6*{;6w{g1y?$d>Q;W~$6zHUxoTZwmj#gESzwQ`&0p3{O%({s>soPhK-mj=D zJ8T*T{B^+l)WP<_@n_qGj4{;exu=o!FwE^QmdK2=UQTp6R0D?oCyo6dE>LH_LgcP; z@lCt;RI}v9%Jq5>EfCC*Qsd-3Otd7peT6DJKkK!qG#&6XZ6pE-H+%DYK9J`PjP?OW zX%4!pHd0I!zTcpmWi-5sS$sP9zbuDObkQjM1S4_B=Zgyj!`!#A{(DHdbpv(ji;o|M zSwdK63!>s$c9^lvFsq@?@Hl%RydzCaWM3b*V&Z2FkI;BtED(bOeu;6J&pc)IulQMa zkZOV1Wu#Ff+WQRAK7^eC%#e_tTa0I;D0L9NpE>R~|5iAT{D0YQ{hB6gBQeu&Jkhlb z(3~oU8?afV)*}XJpGqvoWw@U-jh4@i98>2@YR`^|AQz_Siv4z1$|}a?C#l*k30b#O z9*Ji)2JXM=b74xi$~a>$s-v3Y9N)Kz5USE$tzmG!jYr-aM=MFI#l-J*RMb1^iOKEP z-fxjxQ@Ic0|D;jhH*<&)`k5rkpO_s0TkCO)O?V{W9Y_AlEjs(Y24-iMk6-zk{8~?3 z1+E_$+OOu#nOI6y!g`0yaSAC}5PDPzbY#RiK;G5*aZf|z3e(^gs1FfD<{w3Wj>K=u zw#RgF#;KfA{QQl}2pp68lN&yM(#9=IBH9`g5<7d|59w_j6v0Xf9ZUUdR}Na1wVZ%! zyJd?b7HuFR9`+s3kFsq+)}xOV*ocrAcSIEkVLvSm6|2_Lj6$|@F=SCJym3JhUX4x} zY}xLCJ1a6M{)e8N&c;22&9+`qPa(WXX4xk1tC$C`|Bgw`pz&;FWA2=y@C+%+Ja*?b zu|VBirdy@)KfSKFphurAg_*jo0+xTz%1paG*acTcF@f**O*XJvcFlP&5*6 zJ)tZ>{pMsSE#mgJOlJ9gxj+$#^JTf{PrYmu9+^V312!VfZbCw^^3Ipf4-g_h=#8(a z>Ht~o2zt(08%*tU;bhqCvk_V?>&^yoQp`8mU~5P=o_1>KtvJu|$@*sK7&5vYUyLd| zGMUR!xcrvDjcQ|G1hVPS;Hu7O)P-W*Z``+#16z*Gd9Ous7J)$B!b2`pRISl*Rdhrf zbMa_4j2P*K1c1b*J=j_l1(IRS=GVpXCtPT$eu46!ZeM8aX7;wK2--v@HGDt)9d%X9 z+>Af?^TTDSS`+6D#h4pU(=25oJz^3ixD&V?kmIox*$n>Yjp(d`KG7=fWQ#sjw2Pyi zllE1VJBKc021o#|Zk!atm*6XarRzE~HbhH6_(Uo?$pWgPWuG90)s8iP=TM7ASwVWE zzqPrU=U3~YwRm`E@k^+?ZbVF|ouL{FsMl_`@O#=!dtj$B+W`JTVq?-ViWi@D#Wf?C7By~Fj;bzps8ui zw3VLNx(i^TSy+TUg1j}jP_HRrT&m?!R=-e@P%m|b2oezb6A%y4lVV8Tb;K#tV=Rj? zgAvXjt_EFzbqqDzqH`kzw;Pq>CEeIE(j4N8;1GQWCB~Ck>~uWO=7jzy(>@7915<-B zkY5M!u9K8P;cU49U8}LqsP~WY#g=K!-!qpU^#hMVK4^ zmzj-Yo#S;VIET1P;R5zCw*05R6jyVqGif(6`T=NC$8YK|`_?jm%2Fqef^2UyWM`V3 z5RFo!Vd9wIrX-PD6nLdOs=+N~j=tFA0{i4YEPq%W3QzIGE11Rl&0ZVOC?8$eKoi5$et>J}qfmrjIcP~Q)!xYn|Q?91v(j(yjm#L%lFpUOht!M{?Fg1JO#M<3q@s8#e{ZDZoTL%)vS5!oQ#WkPtp_!=(4oD3Nr78H}1kuKjJ(!R0 z)saH|3zkCDV+h33f|EoRI?!gg5vfEtKiS_mI3TZ9)qa=}C_+5(1brtg0r{j#<(wyw zm;Sr{QFw}Njs+| z{jXA*KVfJhe72>Q0w3q|@AmG(f!8IX&n5dA>$ym&@h^APm_2``SgVvSH?Cejy?RUk zdEKR+AS3=WIxcwy9(y_J7recX(2B5kJ*2nyShxpP(tYpFiO^ z4;u7z+~bneH2(@vCVAX8MrMm_tz0U>Co-Z zKgw24QW3}%ruLo(BHz+QSYP)>Iqw3BRO{~&4Wjb0n;5df93)V{O=~_(NC^x=Oo`tD zB%l0zI1n<4z!D{tICWu>sDW-dZ$-v|3ii5~1`u2tozc#sa)x@O-=Pll!FO6H{boG2Tu;H{CuqP!qD`=~HCXI7j5N)<2s{i@FjI67LiWebr=FGugtf7WWUg z0WiMqGEol)^_^6M;-`lO>p=(YdQ9^}u{=?NhT-D)woQez?7Az)3+On8kl!eF(^$w# zWWCE$dk&{xAQkJ9Rog4jvlpvwMiL_X>d)iDvzGJtJYuTYzCB2&jHgZ9F>CyG@+l>$ z{qsFf80^@!XzVe7^&P=kWmo-C8%SWLu1}4U?m!F^P8|ives*#f+5FRcGIT3Ryl87b z!7IRC6ZO}v#@Mvy2sJd7ku$OUdvJJHQ6ZHzR$x{sfkN$(=hpZf~T}JT*M_3TILBeWPH{*BhaGrgT-qvM6inUnmU>Oe!0# z&UtSibgM4RJSL#%4Y{`M-_$0d71xeeQgt1O1ygqZ<aX+5$s#1b&Mjj$y;b-SJ9!sm<+^^(vdVpW+Q}g1KzkZUe>eu$9*6#fUPyu$)$1D3F3-48 z?6lYvnAKx`{kB{SIa$KtS%YD8h`L1I;rFEF+WVVihpu?+Ey@Lu<;TNEmY%uqu7ij2 zCtC%xQqca|X_aszGbgczYewwLA*T8PeoU)iu=E^M>XH*kFR=HYUgPK48Yl+0w7np z{Nb-p+eaG3?TRE*l(u>+m^R9G91vcqz?4HD~7pQNtM+;m!?t}c}X z5{#KVivFZO{63esy-*Kp)|w35+Vnf&zO7b#0rPJd$m3ZlEtI3oG$vz?l~H6);LoBc zm!dw*&)1YvWq|2j-bYWihNK0YFJygB2T~3o4sHpom=W9Bvg$1#RF6Q|X2^wjP;`>a z#`UnY-;G5=11js7S za&@)P3FpQwvy5|Oy^b?8KNFA!ePmvn)%HqMvHptCkz$fw>jg#G?AJD{Vm#&zi>`*Q z&O8o*++fG(kEm8xSr)Xi9p^U1R!;;7BlrLH9g7dr?UjS=Z$MBfSANh{O`2Ve(APKZ zH~Q)62ZH6Ra8GypOr9G}UVB>6u~{v3ipwG)fgGFm{NHU361wJ3@D3@UwUVu%EA9$q z3Fx$CAis!_pBsN;sblZNF;mpQviv7+;K*(KiZ4rp% ziAwaEO20&AJsUURSa9c4*Qo^EmLLB#SCyMXf+k+wa~1ET@W};`p{jIv`uDlL{tt6; zUsdxz?%}A>tCUX2tFXEs*q6}j6Bitm|Jgu#w@dxt4Z7i#IbMwh8EB@Py)KKsE$dvv zDQ=r&hB$5`zQ1iGzUgE#wZgXw?R?5=%G>+j{;ijGLz4VT9A*uAnl1qb-dhEwKa900 zPteW&KLfX;3H0MTP82E?8#I{ml6s!$k~T~mcChES=BarlE0ayl$KV@*vNReP`;fFQXF$JT_B;Riy}3^`@uvM zERXe8;mlO;*V6Wb!Ug8`|m0cq@rWgPXf5&`qEUd~p}-_%72OzNi26 z`3YhLK{!Y)oNlpaF6sW1mdJCL;_#(*`gwX4yB5JQS|AE6avhcpKN^A{lzu^)KW8Bm%Sh_%hMikLDx`x( z-Uw4j_rV(hJ|cuHYeeoan$^mmrlY&id~j2E&lz{;v=o|s?7i|H_Y{h&Cww`YPfD!Q zSNAq2K3FDrA$)toOMY6%6&?J{^OGg(m7Gi0vJ7R|s)DbNp)fLTAYPDP*?4&xm ze$H|aJdAGP@^T6efAJCy_Bm8M^TifIn0JNd>1Ug7DwMmQgcmZB5&Ksg0>FljBvj${ z&yH_tdt6w@T^uvn*H3#V%-Mnp@H0tZRzM$%6eb%a*Z5mRwC4C#u0|H1IrxG}jmaB{ zsKK%AUjEQ0^3VP8yb}ZiZS)aMD~VOdlBt0q+=(rsP|C`S9f_{mS6WX*J|&?(DYWm< z?HK7#)p83k-bz9XmJgkCi55wJ>og2LU)J5XXnrZ}8&3R=N!kQ6g+Gbok}QMPzhqeq#Q0Y`kI8G}4facFl@+P3GP zQZw>g@9}~c@QDOC1^{=1!T8Z&1OLh827feh3BT^F{ zX+wHU;v=0SgnPWeD-*M{F&|oiku9wpc|Ly^ZRA)$OaTjaL52X6$xyS0y$Yi$?UH6N zt*8&8O6*E&@q5@z>jetFO2@Rfc7j}$G}#KM^-rc9Nilt;oX(3t=^G>ng5d^PN^ttP zr%DEwNs}>K>F_8OZg6>ot>$pdsXZ)+|q;C{Ifls zyQMT%csPegW61&(vHbvFXB!LG&*B3?-c_k;+<#+k>TGN?;Yz1@bcNbPm5uO)_? z*2;k6rqZ&`UyRAsi$?}dqDEWfd`gNymS7tJoklRigdi-v>YLF7A4|=^d1IfI))7R9 zZ*Ul!daz{HY76l^0PgeFyg*5!8x^IP(L`;W8*&8L9V+fH41Q0%&{B}6;IV9Y!9of#Rb zEL3v2u`A~+_o4x5G(n=fn-yQZ6*(u9vliu#BBets{azgu#_Cw;zg3ythJ-8)e<>b- z7{RN50i2rg!pc#59)UGD8k}7)pHlJ3ZrJ~Oqw#0Ml{k^t;m#motq@@kwq6A|xMhIV zLGrt5UnkT%x3?|xs%va%>(u7l4NP3}mq@JlXxLjrJ%wUTc~^7axjI5r=7d|b6NmhD zLPlihxFIJH3>U<9;s=HzdmL!1RVQ*1EL1k$=71hc=U(rp_WyVY`bf_d^m=M*?`3}b zR9?G1Dz8Kp6avqTKAvy0*Lz@}x;>v?k44GK#aJa-@wqadKdFz?>kdgE5UuFb#8IF?;Sl2|4WLl|HK7+tFGhCpA*x4(N$$15!1qj zP8bddBgC{BPLCocq#t!P)&y{|S^TJc*30RQ@<>=Zd8Ebrx?(H7KvMe9g({yY6S_iv zawlPpL5VDwJ6w!1bl>H(pr!=Kyza)7Ti+N$? z8!jDoQ6aK_Zg1c=*ZNyJfqmCRi1opQ@<&Xt&%jL)!(=CZZwfGx#0Sg1fFU+CeC$r*QHzbJ&yKi#nyXQw!mhb zoW?Qj&eBG>g<%xydvP#fz#1wNg=@ANDepQcAVNz9qDX;*p;p4G z2&4;e$|lTq>-P9ps1L2M2TT@uq5=&Embh?ul;@9d(N3X$VoH(^Eey$T%6@Yw9J$4# ziLftywNcGDM9={S$~V3XL0T02;NI40rOIIG!`*iHEXMcp`d2*=o;v}gS=;B!zMr8$ z8#VSp;q#)QaCPUme#8WFGJ~`Obs^NfDa5DRhPuEhid+yxkG~3Fn0mGVofU0cNTdo| z{d~CWZO-Y>7TU&IgK|C%kngh9oDsl?!IXn^ZBE&-Cf0oReUzEvA;BqlZucjEnDs<6 zZiS0TzUa8&o7d~Rx8eTyWfo)Np5=S>veR7pety_ZCQQDYjcrVm76Io&)beu*d>_=x zn%Dlk3xmh+`O{YXVPB#oXD8sY$Oy~$;mXN(1!ZGb_eKu^=K8#ERxF~SK||UufgH1n z|Kz=9gO;J`wsO<0Jb3P51GNqnIFzM9K7x=%y%B9$L`zVBq;J({Rj^QB!)aoHDxnsS zvBTopG>*5!<&)v3QnXil%0sjw_dQ#CC{twpAlUtCH__)%j8JH5at*U(!2uYa)idkt zN{5x8$0Cib53v?1ydk5TZ+sZGYd&GNpA{u979)_^IJ~Bk@B8(*d;Rt_a!HDIMW8?Tp-V_)FiYuY&R8}0$~8LWYM;i;1h6Gy z6NijoJ}SFtc6#d*B@s8C#oHjuD;DTW6*Unoc=X1C~&3_Q6k{+>!e~J>MlyU!_GNJMJ{0q9})c< zOO%b`l71j`w&_LE(ZR2o!amA)?s!YtQ)?N*Wn;L)5T5Pem$pXvf>i+5h!K{HW$rr^ z(zYF>^)-bXiNep8s7#1aIX`+2yf^A7voA>kn`Vw$COUdh3i)j9D{ejzNB!sdW(WAF z5W}Arw^5Xm1L+v*rG0``ucfSM#ql~Li?e}OXULq4K)XXcsAq`5-lJSyUmfSO}Rb~RBlC!~F$5Q=c4 z#AayC(ss~WFtjg^`6`SHFj`Uc*b8ZCmgXIf%XJZKer{#+fgBQd?y@;6GO;vA?Z@-?ulJ z5$o-{Q2E)K=u5MxU?cpXvKeV$uJL&^imsu7nz396HH^q0Hl1MyMiI$3q3;OjbE+}? zHXp$ap(F3oMp$uTeS<%67;tSY=+4+k(Di%zCp{jwFq-zAc@njR5Jerl9MB?XKCp&5;c=r(`OIzHDtf< zA~#`ahn4c46Wa1C#qIm0Kxh-9i);pQqmSz9Lzf(OI;E_f^t)oJN0wcMUz_BRC7tR~ zGvJ{^g}zKHz^FsV0=}&0Z}q=o`zD2?b?CY#tZZ+A>`nNG!j?q8NHxB16KNey5er)> zA6Dn4Vm-x!kUhc=`gD3caTVJ^5ho4FTCK!ikR$SC<2;H&?I<-u#5`gHn$vb~=(t4` zHtjxQ4CE(pUkuZx$z@2UBByLy7!uyoFlp*nCpm8pUq3zRsS&*;HJx&=_qYzaoBdLP zn>G~>4(1hMEsZxRbODw=u3LezeW=SKAR9OzXBcXw{mJ?`h!>SE60=cS#hgCp4)j*h zTKWM$pMh;y#Gay3o9UTlsPNSiWKwTJ!Icom;M=`!3Zif3%=0iT(XQSbmNFx2WOs9< zVs;1pe?`A#qV$NaQh5m(y$K}>agqdiUUj31{`0Hbc`9(@_k5c1IYl~wi&#ur&1*it zA84|uWCQ?a%E3>5icWtPwLj{DFB4Oy@-BNK1!?F<^P+6J7G<1wwRx${w7_ z_`D=ZVpC@hoDD^3sVHwK_Ce#x`+u7v-jn^xxyRw+$0WhuRU`GEmZ!Kj_o z3=vF0^syK<3Iw21Nf(F(gA#CE$C)RpUQMD$j#{;p_4EjgSO&y1w+IF#IzwPW@3h7K zepWKkV33c90n=73!7&Bt_*7yF7dAfD{$2Y(_b7|pduR}Sq`JJi*%os!Wd-vPWD6jr zGjE^Jt*(r)@UMcNfL8};T33z$k*_1*1Z}a*+XX{8#Jg zl&Q23i$1=yVM;{@@qAHe1XkjBGwX>?H(SgB(^u$;;XE4S1!Tn+dtvw#dcb2U_WWNx zb+#q1-@dI~)!f(tWC1(aEPLNS_r<5b9gcvKVnWPb4y}-}m5>eB8S1aC{wZ&jFVM31 zERNlMA8b{@8(CrVx@aGtrD!vMQ;4S7IlIlFT!f-Q{4_oB4bP(j7ktS90j2{4+L^Mf zfMLqT*)sxU)es`&$GQbr>V=WrFzU14J=<|!$DQA7Ghr{v0hKr?;wM%CW3X!LS}T&L zK4{sZ=CihSbrraUAH?Jhv)P=jf#advCf{Dy=o?YAVTR?pI~rYPNv^EE8dcP>yU>2v zh)r{E&h})hE5-7g2=!R^TpDx5xu87Xl-hlzR;X-Y-+RZWP;s_nV(#2Iq%+%}L0U-Q z)>V~&(8-$?s6XDwfiRqdd@TkIr$5;hfobos-yg{)!$5`nL~ZfJdN9D!?4{VZ*r+N| z4+ZhfFJkx>uD5&IobWPDo#J2Rgs5G3%03E^1L+og zL%SemOZSLJYOHg}vQr5%U+mB*SBzCb3^G>#t2D6 zrr9a;FRC&MXRoDGS+K3)aoAOG8-7m*vQI7w7qlI&lb{YQRjD!0c;?H+K96B*g)%tE z-Uavcup{(#AqZXn@pEA*&&|p2UjbT$7t0O)TXpEF;i|=K#}m1!-bT6V8L3whv7>Wt z(b!xjrl_j;8ea_JT_1gD8e&yjhu95w0tK`y+Aix>sq4X)K0jn6S?d(DI-PH%P!We6 zWJLIPM4J6@eWD50bs-Xbg8Z7wLV?RNOymGo~%ZES&% zJ*gR;bfWjtr1d8X+TLZw3fvEQ9He=qbkE~sBpfb=i1Qk!4{?rx`1BK8~S$no8I#fUY|vZ=r#ovw1%mZcNbYcu=nUuCI^{#M6I~G@FRWDaLx@ z{@&NV(t%`1c|<09@b}W-Z>`kq9|w_$_qey-*xxFVzIDc~Quq#v4e*ka)(D~P0PM<} ze!9RMGajp%5wXh5qU=?h#KT|momGBCs`w1Op)zAY8Ee!uEYWhP3yq1uiP}~!Nb$Y4 z_#whv?-`6b;B@?c`GwX6s_uNc({%&>_vCYG+=#@XQY}>%^*nNX)45nTU&)O>18I6&Wat-} zOP-dmu?Ct%9ofvVl?e^7%ohAYNeZg>L}#a*$*nLl3Z&-j=3if|dOW|VigaQfnJz={ zLko(a9}(myQPvgwD`3eO@=CuK1^J^budWkvSPEvih+N!QF`@!U2$ejjNiB9=l5ZL*l)HEOLqzc3-RQNy>y_W98^AL_5x8#VdaLnPM^E+KSf7CG zHzm#*PSW$n6)mS@TqHnn**HF&59MYzBD4Z?iG2vh8S*@D3}P>EsG#t7&X&lT$ zOD-fde7TI>S5xA-PRp$>*urlReCRXSPgY)!McDS_HUXb>bwf{m_(HCo60+w4(fqB# z_3XJ0V@Q`)9MF}&@}nWVENHK}$CY~)zzD?`DvkszZmA3!|I$qB#*hS`scLHj8>YAS zc?Do=8FWxFu`ZLH42})Gw$@vn$qkA>YlAp$qvZw;PFFSH86fFwS4(5#_txZtogem| zbaA{I+m!rGb(K5W*M*C@%>83MxQpkK3RB*YyZGSD?f*z^?ZPQ*C(kjC`J#H8`VT=K zdCvJKPZl5`^0&7PEZ;GS{l4n-iA>L>uLh)v)!q@!vkwT?uIB%2!Nx&mSi8!Z>mRyr z<`v!<&>QPi>nvL_+{kbaS zsYat!K4~Esn9d&-i#L*;_=s#nu81U!a^z`9*&r8Gdzo9Mpa?TQfbvu~lt#X3usibg z2`#hV2?AcJaEIsa+|_=$jeDR6^=$(>IIn?5Iu6;IyrUUO(VZ4(QioRPW4Q=HP+IU| z{i{C4;$qLV1x|Udn2sYOIV&eHdD zSj(b**$2H^Rc5k6p+Pb(Oe_C#l&@q49>@#$f5Z^X>j#~ZS~&>x5Ls)X!VAN=&bP(? z3d*9nlua@uN*i%5S2jvd9-{~Uc#`$g4~`DCM{M@ASgzTHEXI%lTsWeBC@N3~- z@9ik0&9J^a1!1naIRFHq`AwCHL53a+;utUs6Tdf&iDCbV6YjZ|EBlY$g^@mW+w}9w zXO#0U4ZB@Z8drfq9Z&0C(VY-te1Es(a!xe=`q9?j7ML+W$uAQ+<#I4jRhh`<*bPnW2UUX( zf#g#OplSqLU09#+l`5s^HOz*8c47?UsY8)69~BExs2z}uld27y701|anZrTEoB>QS ziof};Y3D(&bw2t1<6z=|=vW_;%8QX3-IN@4xbAoF@tZF4e%A7i<5};ly+4pBmVMVv zPp;4J^erhCbCw|)uePpGvzwsdo+N|g@|{1&(E_vXk=WCYcm96?;F=r{tU%LO8Ign;Uuyhl3u24jtfkjOeAeVzG(SCuTmCP}=jvcA~Fr_`QKs>NEJx3y51%KO~_ z!Vh7)xlyC!un17>nv-rqgG1%l0ovN~3QAgl3p-vCkJ1TbBrB)D4c*86c0=a~gf#1K zPjb-AJ>Ls#iHA#hyC9+yC~k;(NY7iXR}HP5Tngv@efBDByPvoYElDCTy8SRCeZ(kp zI_!eLe@=7YKr#FsB|?!IFHI?X!iS-n$K*c#Y8?_Zjazt|z|Z$J(oPX56g9mKehr;j zF%?DQpW!>B2(v->E8~;GQD%mhWgn>^>|ji?-bWIz^1BJlZ@poReA{AbwCC$cvy+e< zP}T2OM{L~zhZ9Mg+UvbjG1Ki`D`Lb{B2s_jSF>yyIRBQJkdaeQ`ZoJO0%ft(6=~~q z#I~tw(`dBoPKyi^zOQMe)?~#!$T&aZRnS_5ki=&yqU^1G``$84qm|fMNeIqmqy4y^ z3zBOmduLn=7fp|>vGW^Y=<&Q5-}^355eH={cFrSL+C>%||V9fM^ z7BM#8vb)x;Wkmc=W@>_kD|LjS0)dUr#NZL|3s=iQm3AX4R*E3Lk_9o^sNznek~+c21^{U zMq=F|PhIeYCcYTK0p&jW%*q4@ksqgxd-aANMKF*WylAs&b1ok8t3ha`x2Vn(M)fe< zI1>g9>cAftuX~|SMkx=`6sy zl_%~Uz&7@39H z_{|OP9(7R1?Z!txxic{JBQ5$VvYbpMk!X=ZOf4<5NUzM%Qznj4@N|pjkBLYh5}-6^ zL9oV1BkBkjHx!Sh4CTlQPs}^bt8vo6bxyPt%}<9wBJGz`6x^E5hwlu5d@47WXX>Oa z^qJmL9TJ^XK^`w-a5xrpj`WB)h+Yugj`7Ti_=LTG?-U40ie-IB_kky1!>sAJIE!?j0np&8KVglNvMttsb$ z4sIri0u@Gpb3=={kG*{~)hkOe4i_ArITuZN$HLB#9SH^y9|{$7I3l;!_op{n$tXHi z*u{4#6LvpAby}U5)10Q!AhWM zxgd*+|KX&Wj>8Xwv{C8`l`GLKW+#V*vFp)H9*a|)2E`mK_r@?!EKn#Sg(NA!=U~{O zKTtAZF6fG3WkaFD{utrUV!BYEPs~g-$LDzv%}AL(>>Ws+^(LI3ADwRJJ5kHh*$EnnD0uoVg`n*{k{(;)uok)CZDbf3r?|IOR&!GQA zeAX`kr}y2LP49`n;CQ*;@G$)QF(b}gTcG`$r7h%PASF}twnH3nvBVK7wmij}$q{fL$@l?WFP1$+q zirKjM9aH;iX|lc@4_a4P*Fz0ajGZ3sieGJ0#PhBfjke0UFWlSyCsL*}X7AnDSKI)J z{3~wfpedQ}q9m3nMAViVR}#a9M!Qzj)9CZ4^?V1~DLa>4Z%vAHlhOkItp%E(hu@!i ztN+%_3^V7S01rXGZsP?p2%ByAwEe;81oLJp*b zkX_aT-xPfK`}eJLeP8SUKSS>8f*L@&*yXH@>y1H(3fHfB^RkS8R|}F)Xv`d15NfBv zTenS~fc2n<+1zPZ7bM-kVXMQ6oye8KLbU+!bJWTvq`!^2L+730HYR^`dE!bBC_`~xUcE-~C5){qf6fwERoAiBe=5;NHG0I7MDy*EX zv@_#K%~9iM@0-2Sn8P<{zOT_uxwYYV7*DUsRzH7TAwofiZSkkE$NR##0N6FlOGFN7 z|9IlMrOlM=PeABT@J;Yj9l)kCTjiN_wO?5hhNn^P%Nsl}!A;37Q>E&>cqOUP zUse!DHT{(7=y-gIB?oop$7|748Vn=Q9HJx+PeG%%4Nt6b)W+TUYK7If;ZrOLRw36` zPTpzFKDSOvvOiQ`0{VuhA-~Nn-{exsQ^B2@NUxXh4802hO<6S7d#wCgLb)u9ZQ^P& zY|u;4*I(6*1Oo$m>~WOSXlwmq`m@_kG=I9qRm{7>DM|znkLpxj%`PI-dQ8MelT&?pF)e^vL>r+nK8uqGy)G?j{VP zs13w{cTkPfGT2Zd!`OH*&=f$mN)7{b;)0oJPdwdVN6T(IDtPl`f}grS<$g9^ZE31T zezg+}k;=m1QGmfl3BHjl)bK2Zr2-?q8FOHP&`(3J$#f6Z6L6+$VFGUqsVJ48b zp`-F*LNJ|Mblh)e@}Hsim5HF0EWTOzxBj~I!S8ie zkEO2AitgH9iKmm5?l6XT5H)q9HgFij7kunEhF>p@YpfGEYDTH~ViFGUv9s&3YB@S@ zCzv+gCZP?9n4OZiZJ}o8bw{d-UALyX3=uP1P#JSa0xOs6iID*07Bt8;#n_LMLZd+^ zG6eO@ZHu2Ik$-BeZhkcAQ-ZcP95?5&zEjvkQ8&3(22cuh1XqsB%4vvw%cW_JlTRoU z_cd!as!RPS8xTB#WP7k?pG8BoSr53OWKPNdkE*lmiYs8!Z8uKi!QFzpLvVN3H0~DM zy>STc?iPZ(JHg$9yE_De-@G$x?wa}5Kj8GKQ&s!f1zjC7`aOi|42FCRu-6{w+Fmhp za@der7!*PsJ`o;ek?@edN6Oyfp|f_W(wyq9UE90##YsdVu*3F@^&J6SV8MLyJTV~V zRedS=Wj`fPePH}=FqD^ZsPwP;@6<0x6*!kKp8hBVXsXFpvmdBuyPgoK0^6T4&Wi5q zdf`t(rGo9Ih%JT5>cPROgw=L*JR#&qd?_K#hjr$1y<>mqpre0hqSuX5@Zb8+iKw0+Ay(UHiMsZ=^sU>KR@+vjLK^qawc(K!8x-1<2Ylq+3?*mTkS{|X)L23(9 zPN$2p#@mnynRMiGH-pJCKGlRnB-CEq{b2fFTSA3t-a8q)Z~o+_ANDe zWXE)UJ)!X(MoIx))YIL{UuqMNjd~g(e7!`B8!~@P+9szQ1uQx@zd~S_UhJaGJ@ud3 zHq#pB#|}x1XT(TUs739uUn9r+02c2Y&Y=?`e(T6nv+Qppovv6*WOhL(n7v6O z>JRU`Y$wA^XWtz$5)xRrqg=41ywLLzy>jkeQT*q_W$C-5Y)2W<3tMtZ?e0t6$a~B! z;%(0v;7F?uGwqrZx4#Oud@Ky+IU0^)gYjdK$dX@*N@L6d0NSxktHR`3?K`kT08Igz zSezsOZ&c>+SFv2nFv?p%AscEILF4)r{ZL1++WbKl9j%YJULK5K$iFS`WM-ch-^_BKC7%Z?l7U z{EC^Pm|7;OYYyCh(w@F7DZN~vStad|190*ZNa)hMX7Tk!OFM^njj^Cx+jPq6E;N}1 zk2^7?^SGD}zY07W=)V^&-?hAU9=XZJYUj+i9j=JQwGO_Twl|Hk!zhp_uaHVd8mFE3 zbay2_cx_2{@>ihjel4`pQ@D~==y#8DBn|ceVn5CUddAk?)=s82Tjt^nKBiAzPoub< zGL%FEZLozTr_58SVEskt(6t=xuc2`yh&oXG5!{B$7u7GS8{lrwi;zWgi~#)<3R03o zl8#1$aFq(*C;F202?J*ICw50{4*ScRpjQ4al+B-4@o?M$Sc{^j9V?7T3)xUD94vIW4J$|z~iShvZ00rvEqnOWLxL#M6PS57r<(FegYei#Pc!=VS(+LFCra+c<*gscdWF$d1rbjH| zK^Ujuj!)K~?WtGG_!nz+Tp6?TEEOlB)Y^r6VToPX5%VckVE~3LX%8$rzAiPUMs zqqiXZB`&7vcil2in*6KEaa3Cqj(X}MW?7g#rKEigJz+;pf{mX*vEDiv_UJOEGwVN# zXR&kHoIY~S4J%~#>YR5L9j+jTD!6DpOcimKC#oQwlk7p8`d-*zutx(9XMWWIeYF`u z?VLoOLw@9n1T+#B8m>E71OLN_)FUs(HSMW2?$;mU-d|i+tzx8CYz{E5r>@)fynw${ zoRTk)H9xDxp;L5P;R}u$EP9LRH-rYH z#S?kHo2k0}wlS$_okQJmZX)@Zb^om8q1OuP$>;YIQn{L z0Z|~PsfQDK`VNOKJSpL7;^NC!OC7w-aBh%BSQhf#P2@_jUev=Adf5Y~hP2h0NK1qlfR-`1iY)Qv^e)yq8OM%z*a4FuLkGhG;)vUN zO)jkb`mVBN;1Gn~lItGPFthzAyVE?%iwulik;^ApQ(o_*+uoI6kT}Gu7Ckyhv5M0t z&^9f6$;9bbyD&&b-k)EMsViQh&P<>9;$6CJzQ!RTkCH8)__};Fm0GOGrJNz%KE$S& z85D?lcp%h^JH}+wQRub;b!-cSG}rEG&17L!An54~YnIzfCOuAYYTDNIbwI0pN1;F1 z`HqcM#?uNx=Mu46LvAT<$Btnp(+Qgy#oc?fbMQr(xs(PNZNZWG20H8L+FUb{j9}|t znS9#U;W=IGr>5`R~$ooa;n4DJgZuGt}=+b-jws}?ZA9t71 ze@-OL+17N0DJ{x9pX9xt+%rBFxW(1vyHbmIUaU6V|D&<*Fv_mA{SUNH*T(n$SAorw z0b!jJ4{i=;IfN|#z<2W6;0Kl1;v*z>hS*Cg(vyZR8ohhpommm zI|QT&=Ka~0-4|z6+T3F-7s2l|i(~X8YvX@}TY*QiV8_cgMV`6oPxuqmck4X~;}xsW zMr-PILOaTpHJovl*<5QH)7yleNA{kqEZj_e z@+<|5bhp^-2vdc1V%dRG_NbN=^?~Da;kR{HmO42c%5u$_8e3vD43*fWs8 zbaMH-AFLTCb>i5t_@hud@&%AoM0nh0r)s#6f54ppuzP>byA3w|2UUqy`aJl}z1`P_ zcMNlnjoM6Pz=kb%!DaSqAE-a7C&MY+-ku}oOO!`9to8)@HU-}v9L){He1!8;yI6pa z{GTP5pe4foCXG*Toz0zf7}H7fQ2{D$)tQH9gTgT8b0{yhU_TLhzIKB>)~bOeRYk`#Qn0M z-MV<>N=yI7;k$3BXK&&i1ljE)RdXA_cQo7)9t8%Dx5ox%Kb{$G0A z9mkqJ-m5++{hr4HI&MM$g|OTq0V zoT!#e+j^dlW7~1c=%GVZ256=|G~{WC`68NyNllb%zsd6 z_F8+Z7YG}h8VJru{E`BWZmaX|rOpGGEFR(kSF4v+^tSE>*EtM~baqDdYDEpRp&c=b zpX{kbhmUGXsG~Pub6RfPSR5m%@Ni;-|OE@UiTiFKG<< z?X3uZ;Q_(}2L^4C+kM$LcsL9-@K7zQ!w*cAauT8R(Ee z?4=aMVYIJBjWAeboECZD7~R%rF2vo)G&%_@s$~mdQ|EJsC0rrpqfvfBqKLXszO%k3tN)E`-E zU<6B^qPT7vp|9|nJb6wiDGZ7rOir4qMsRsjZ;1z%WT%7Sgx!};s2m$d)@Nm(7+s_9 z{+Vg)901Sz&ZS_C@Sumd^P0%Qs*U&bRn|^0>Q6sDDbPY9Q%CBb7O5y+D4+Srb)4l< zCvzv-l16s(O`K#=ujf059SU1PIQ>gw$-1;OudZyVaGlRM_Zz;}&IrgT0Y* zRLdOlz%cL=cASpn+O_f*f?%2I%3#2%W)fh19~ved6a}Us zSsDXgoSavLZDXED9t;h7aFd?CvA+?bNan^^jgBE7;T`IlaOzb+(V~VCJMp`%#vI>k zK#1Q`IBE%?-q?D+auR$zGXtGzY0&pq6%%tKO{w-U|GSKsQp(m}oiv9>IK{U|EVVBB zqjad|&7`jY#zN(_S&X2<#A5Kuj%be|Kre6Qvk?hwt891nB2MP(A&w~yNS zK6kn6(8ah*|G?w-Lw9PhQ;xRbw>JBvgWo1}4^umbG>)6u0#Y1yC@l>ObO@T&p&fh`O%nog!R?ZNjo^#cd|+%I%I zbd@6l=bQ#SL1UkvW;k4ciRUEHcJ=M=CwvSj|Cl@UoD?A6mBG=tY35ydtHaFG+62T;OD) z*^8C}eVDww1|6PjSBHPSU`Z;4ydC~X@unQ$MDPUFvsu!%!RVZ$tRxNE*r)J1!fzmr zu;9)st?67k%upO?flY?vNmGjG#lR@CPnxTRR_i|eb`%{57JRX5BZA(eJItfA6MLsT z?cMPtZ>bI|w!&_Su@AbTW?0&MHCIX$I7NWpsCGR;pY}oQZ9eJE6JH8Q>*IRYu~_IY zCGPpJZiNcaV|>P$#Do=Uaa`Z=rv-I)H=<@x)UC45R5u4Plj=ziPV|Rf>Hk(g7)nuh zMN|$Opx9wHaws$DTAQ!H%*;nk_&+L&^rQXw5R_Sxkm``g0>0#@^wyaQ56H&@4$z;L zpSrt0@C62Ze?)?u z&h);JA7s0|3p`B8nRgJdHZmS@`Rv(KZ|^SpZJ@qji-Slp9E@4mT2?+zZcZAeR}mz- z6^_6JB(=(l-G464D-m8G-}z4_Up_eW4L&rUPklbLy<0!rpU>}l;d1%w;6!CTmU94Lx#y6W5*l4yObw!1{q*GLV$0uG>y{AXL-9g_!oVU-rH)jf zi~1f8)z#Kvid80Z76qo2~1*BOmCEL+b4>PhzI9{>aYD5i5P+-If-Om4*bj$6^yD z2R7FH(feA7+)D{T>od?RI*pxAkD|KytZ00I@a7tDM8rB(R7VZH9ufx2tZzA}72Q@U zh+{9&k6m7EV7FDL;hLd5qlR=8?-a1&Nzw7+9x)kg6 z=sAtWidqX^$CWYj)7=t{H`-Xo@;q#VJImK<&)?|`Zp`AgQvCZFPU?nc31Qh`+50wa zfBEg?W?${1zDiehj~2#q)T@>F@cHI(bPI@CkEGzSkeD~BZAuJED_!s+B0{b(IxYy! zSN7g2%Bv+Qo?x@n_*M>-JY&mfP<$0BW(navL{Rw9kpLRmt;3K>#b+7+)2#PZkh_I%e!Esnon>=c^tOBLxk36W--DTpBY2Zu_w`2l;RiZyxr3X zw-^C z+fFaZKg_mcf2&Y`dB9w;?vdVwi(!HGnvT;((27W;PsG&c_`w`EupZ~tdQO$vTG^^ME! zjw(If*4+F@2UFcLqNYBfauY82_8%Mx zjUO@f&G7&8M&zX;hPOeiAA0rJB$@_t1EuX{G`2=U&@0afI=!*(NzrDx)t` z(iKY|^n6d7ly=BWE1JkD@4njnej69mKKe3NN8aiZ4ceW;{0KQB{_Z|p3WxY-Y(d2! zu$*%<2i>d`1D~!##8jiA(+eW5wTE1n#wpsqYLJUBMxzlukMOlS@-f3{BpPME2cw=} zuHO@m?xuEkdouc}dHVemr(Lv)$Pmi6Kz>E09n^NubnEGB-jG68JKGol8W5uc62fG~ zmQlewx;e0|j-bXrqUXskR>uxqKgK;$HT$LQQUQ0(h9M<*hzW~VRfGsVt2R8bxBx9S zu}wi}hlWOaLBmjWNg!9FkrQ#HNos_CjOa$hUrw1G(Sequx0%~{vh{|fBH_y6EnzP$4j-+^7AY>(G4PnGvk22XpBVhB4O@bwQH zXP?`T+=$CKWS@a<%q$}Kb4eau$yF(gZQmEMFL)G>vHz9{N1vRvWOcH0?%$`DcUQ4Q zze#x2=)JeOdIj^fDbT3(@;LqX4i!S2UE5fn_O4^t9`Zu%ZUf+KWszc3auB#vyoj7 z6tbjT*NHU7{((&tEiqWZ4~GuEc%;A{B=~0KSI!WH!&#yK&wX@IW)b}@yO&HvB`|A3 zTFuw_oKu3*oYlkB8eb}@sR6n& zo1_n2QoZ?K*w07zzw)N}^0T($GHGlBd`vxP!${06bK7^B1dx+x%VAnx~_7Qe6h8pbG5)8tP_LY0AWap7Qi^2`QmA8p4zB{{(To z%nUYtJjr%4e&_UNHT!m&)iTZ8IKB+&uGtoHhce=k%rI_3LWtY#r-xD!JnKNf(?2W+ z#}aSKiuS=*wh%8#ZG_s_mx2fgwv_ZE7xQr&Y4Y-O?kn~JCQG& zZZ_h#l%7>znN?ucsUjVHx$@S*Bn{9m$ugC!kNpwFEoEQ`cPgNeY@C;MuL&F6+m9Cv zcc*Q{(aXeaBZ>#EB?^wAs<|7{39ROG167D#snoDh3oMD`wRK*x4dX>8?y8D*Qs2qp z7K71Ip^;;B!vkCcf5RvcO0;42;vG`FgOEhU)2%|IN^gz{AiNm7`hwDcWyg)eCW_3M zLi`z#_y$B1o$XJhiW&UGoYMRt1O)o7j`iUZ&}wmz-&c*1NyzsJlw(w{4DdR9^q`wr zD`819j#ePY7^8KXUmCc*jxU>4)1g#{6fPzm7idI35oYAMvca366>H|_dw9}d!B?_bsry8zx)aoin2J(ae0j3x@8BH_FFQD^a`a$wc9p5 zmaJA<5qpGdL!045T#BsW3A`gzK1({rD@h1bNd2>pZx$klh!{?YxCIF-XsvMN1+7%g8B&sO@>ukvjkfEr~UdPNyrC6AF?#&^D6#( z8g=#EUM7R0&f#RGDTf*e@p%#~=?LD^l%wG^>TtZx9vv1(D@Vl3ugY#l|te z^et6lw=_`qPaAEh8WU#s9&^3aefoB8sA;}DEp%Xofa+x=j}#xztpL18u1Vfq=s_A{ zT|L46c|+j_8%JPHS#q6yS{6;855f}tEA}(w@qzwU5L42&z3}rZ%7hhRsBsF2u8Lt$0k{#m=4-x{Y)+LTIopw2t0 zEA+`@E9=^~-m@EeDtG?zy%Z|ePVYPFn#c9rt@$C&eMKc|jOGuMlGK2brHmP+#~ko( z%(WE9z~21jX^+&zW7Uqb7@>X#iHa~zRiLtTr0xJ;fZ(>7KbB#W2Z2l%ZyT=-J<;^X=V%m#ZLvgbaZk(93 z%a5xQ5)!N8(y{8I*m_6BGd=aUZ}0ANTiFBbuO9cw{K!wMs%!Z2dr0h$hqPSKmJRU# zu*Ple+UeTyRU?FKV!e$^r*5E3>oD9Bn2@Kq$OjOLHb;O{savr;4;Y`yd4H*d2DBh( zqQEq~?R4Guhq4p`{2DF2)uICMYM!W>{{sPk11$(oJj{`Pt5P-kdH78P7kr9wsWv7TDyl3YXDr<^=k4HH@M{SRW2tPO*^?h!gxhcy|tDz7g28aK6>R5 zlLk`94$&|I^84+IAAuaD?4DMJDFDR-Bo=|O5Z@Xpq|#Er^$kZ_TajJ!Z*%^}_WZBJ z;a7vy&jO9vrlHtQpr(9&XuubbXqi-uOI}=t!1n`rma^YxH5^#AO&(7-Fzd7cd%0b@ zF!~RZchjR(8oaU;!&bjVIZPGuL}W@Fe~gcBv(7U&!ns5*;pr_%c*bow_NMsLx2KCm zw?8dG$Hr?GI`B5eynB31vS|9hR+ZP?r)EINrQV<)mE0s`nt{KHmYDknp_->){?WsA zT38VbPAF%-R6-7?Tjp}?eh1pNklJ#jgf4cj$JvpSQD%SKPuL+#Ic$hPal%2wdX$4G zmeQv+hhZJUD3SKTjywGyw~dm2nX#kwY2on}a@sPPKGKIF*2)U)^C^5D_Vc*&+3$Tv za5^}b#u)=U?jAXH!q!Rxb=RSUQ-n-mrW=7=-u*rW6?hFwIzs(^v~yx?M)5HmGOrO5 zdVQ!0=&1Bo+y{zZP24?m;F_pg0+AHI29+tnkR(LSWDaq9I-<>AXE34d(h8LhdpO_ka)`lS#t^72kn zqMM340$g?)YkWf~BovCww(1juY*Y`e=q|-d^15y9(2FwifDrBXHhdVi_T7q9MhUuCfPAVtJm}`rIU$|E^DLubGi98%#hBR zWYv6QZ`KVVC$va5nc0sNynfh1BWU@4oYi7XNGHyb_`0*J<8R|=Ui}3HyvMJmgeVdr zQkCeBT2G4iLWc@fcumq6^qBU&!?D?`tRdU(B*U0uE@sY!JjA|K%RNHGrKuwPZ zHsiM#4YjJorHUkz7)y@=SZ4YQXlBP8{MZP;$Gy%k#n4A(%3gYRTffR+{0>hxpLynf zorE@aJxkeKRY7NNAop1*sd!1Nt2p%gp6A1^i9d-!Dz*s7h$zxAOjUrjeJ0?U8akY8 zlvh#r@S&HEpzCLJ(X&te$^2|KahG9SIn~m-dok#LODDn*+XczoNlZ2Z+S` z3k!N&$)VbZjYI0>aUBCM0eN_&hr z@R~C;p3-X&EW5@W?Z?WF~8nzOTMNL%S4V-bnbw+;U%ioV}?jJLyo{`R+}kTx;4G_+gxA(g4d;r~tM zF1(yICQ*J}c;x*@h5Qj}fi>56-nBjNc08^683A~0owoISHuE2Wd?UPpZGw7yOh3Ww zp}}dSEn;@%$9K^}5^s9KO^umf?wV-(pZw~7kwp3C%FVk4(-Sc_x%mcFEc!y<(;~UM zr)b~c*B@M3k0kEyzzHB_@u#NSl9w+d3O5BYecSm6KP&Nk2#8?8V&uY=P&<*DE6veH zb4tJ2_oYqiD!${1kcliH|E|ONeaA(h!e%h${~m|T>Mxhz6!$cNzSs_)wCF zz1ML7&UJQt(_81=AQcsRnyv#>*Qd-S47XRt2ab}>llX0C!zXLR^i_|~mnzT@b&-6# z7vmVTi>I%clqGD#kTevbFc;;Ps{{5Q-me_;q zGpmZa04CHaBq3R`gG$7fZl!d}= z$zcAGHNigG4g#Or;#_&O57X!C^{t(+hr{zZOIx!-C`PvkLx=%H zvPpt|YGXx4xdJwqpATGWm?ofMO4{J~JUv~UY{Dy4A7X2LS4=lMcn;p@s(qw8kCwW` z(3cE+7y$i&;6KHGm{S+eLj{OB(=M;NurHUx5!{)<+Fn#EF_fE~VESkVWM#LjzKHm}%9`8M}aSVGB@- zrIMl{y#;{c=R~+em*^6@ z6C-$OEYP32pDbP*C-5HuAlNcTNBLH??vPU<8oz%7y`!}T%pphU}6Rhs!Cq35CJb9J#+92HI)#~vY^3_^HyO4?n@ z!z3x75(vg&H${M+s>*x-&LJ$F`rngSZ7)3mh=E<`CyZB-nm&vWu+^Z5d=IeGeTQ}i_<^3&n|`=t?m!qpt*M^h z+M=GO{$DovA)mnihQt6w*hrXtUqf8XtG{}Wg@9lTad{Pt=hH7syonDr1=s~3*kqbF z;h$vK)!H!aOL(Rm8*nPEE9t(>tXAAluOydbWBk!P+iI;1D8?{{2t(b1Ks`ssWZLAe z=%lb;$5>$jtAhvhmoloG<7AXiS%bukMt?C~CU|{4@EX|myz<;+b?%{Dd?HwvSH!c> zz^JyhjfG#Me6nVKO1jPIh>8Zv@hKsRj&2sLvt8BTM1IBd=?sX4_#cGB186JDz~uk# zazESqsIx{sI!?S0?1|(Zv4(Q2-WPLoiXLpOK06yY z6?m=Oi7bp-lqf_l> z$jx5r7x)tSuGAe(-KPj9+)Dd@E@|0Bp4Kn;D-hDBs-+p5$_I+kJk_GcRdA`96yy}% zOatC!zVM82wtnGjLmZ(F_i+OiQk#uS4UPpDWY&`Rcjq{pIT|Mu%Po8BiBe+{{WP!r zL4JD37`t%RomVf3qfqqMciMKn1-VNb;iEV`v#$bDx_uYSGYR zik>PZ+r;@)B1y%y)>8kzOXWX>>1alwI>icDzR!Ie!9TJ%dy0!x^SFQXHTsfQ`UbsTEi=hZLR|ax3J= zD71G|8$f>*sc+^jKof|6rCqNZ$z`MtJHJzM{n=&amD|j=EGBr`$jLM24IW~!$~G`} zMZRe~bYL)&0Y2$M|%FIA}`ILk*!kH%c- zT|u5zaJHs@rd-hH<%fmVR$tU6OPj#$3ScE3@b;3>ABW-)u z=GM=@=9k{D{k<>VKI8=YSxT0#UR&;WLj$Bev*VTr@N-_e6-n(W$?=0!o46 z=yLh!*JTFDP*&~kOjL}G>o;`9coq;X#Fo6fm)D46P@VhY$ZnDRoO7%cTvR+WT(Ged z`Ca%&yy~{J%+RmTN!xB2=^&!)ftBM+4ee;)j}aJ*8it+kYElC$E>dC4tKY^4)=#E8 z0-N^E39XI-4i_g_59R_`KMY{jKOuK`0@0Did3Uc)y6?*opHI0d0f9)kPy&&4d?(~q zx|{8x3=4~96N8_~DD_;sZ>SY$g;}AZ=hj>@6o!@I&@z3pw=5g5EbO~kSm8M+(#eC7 zMJNz(a1vurOh6C>6;(*QGH@iRxt638qPvu4U@+me>otgqWn_B#wVuql?-f%eH_n<; z*b_{+G;wVzlB_^^M_ak;n8pzQMZYIq%H#L_)$T2daWBdwx2HJ-;_CGU(C8C)XhJ+c zq}Y2c6bocYIMG>F`gVgML@ z!;;fp{q5xFPcV)wxX*vL+Il&sajJpcFUl@a zdmIH@XMoOuDVK#%Rz&?J_gPM=0A25TgC_Ht?4-}*@x;rCO7Tj_YJGc<_UGu2!I$nW z4M|0>>D;R`T8#7C+zWPPYJ`7d({Q_u>)UtG3YFf8H!F!jtT8-;1Mxz+6*^AfLRoVO zAY;B=yrbWblk?s$UyK7l$7Mlwv@K>pfJc?#&k~2{tcfKuQY+B3Z#SDOlPwNO2xAAeeXc< z%}AKa!GPTI=^spF-eaq@#w2r4d|<`@RPHGK=QEiH560+L+EUdyMDp|6%Sr2o{Nhq{ zm;xXXPDr2HDS5Z{n%xCj5+Fq8U`#ye%%n8oFsYsxPJMMC6z`>F#F-t@HTAPrV%IU- zf+QTH9Y{KVy6bi_hq6MD7{Oodg4lz?SBf;Bgq}tFn2}@e&ew~S?+UytUgA$n$O^2EjJilPQ0(SM+&(+<%?fO~1wxCwu z5M_}fc$dmvJWTa@c>w(Wq{ zmMx#)-akCEpI}+fI|qEiUW~ZpPr{j|W{q<#XdGX>j(VJBtcb-m^U1ns9fd52)9C zmTlcX~}g#lE9g0)DhHQLcouI+dIDlpvvX=pHlxF2!7R zqFf;;Grvgs9ANArp&*xhJutaK{Q0CR#NHqVs#mhgA2aP(wx~DVtclBg5q&^>BFRvv zdXsX9*;R?PxGG&S-z!-~8Y_q}8Z#ThIwn)0jag+jAKn=jzr${lvGHXAygpo~#F+Snxg zT$gsuCKudaixY!n4I8ITS=p5wDt+F?Jwrl*SvI3{1|Nf_TD&gzGLlcF6&6P`+>pAH ztVqZ2Z6r+OIC`l{z*_2LaM9tcN#Hr`gPxh#sQGQaEPMF%i3mUBrlaRQ#nt*{IH99E zM&ZH4^XrMnmW2PO-Vl38z~l0!458mH64VdbGIHmJu~d$SY4`ZGp%GnrxH!bK+K%Ux zzn2TVa_1_$d*;;{Dy~=9U-~E54nzd#@Ordfc0F71x#8!MDn~up zWNdWB=t*_12<*zRlVbHkb%y)LxQy)3R*6^qHsiUtc}GHj@SNUg;4_+*XYHEal*5hF z9wHLJ6I3{x_z+x=wXez-5$#3{T8W6~uj%@DJmJv(P=9{N36NQC|6pe1Ec-SdS#GOu zN2BK)_6&`cx^E4BK#)+gJZoRD73x6UW`EDy53*6{DK_pPTRLl}xii`*RH@SP7M=9&gHp|gC1+9wXY?tb;b|Fp*C6Z6~J6pkdquu)ALIz#iM^4cHByZOO$b`(+|C z=UK`GDYuVQLaII0mIJ^H<=E7$w`?Vj6?9$r!6vqN`BBIwbdEanHU&&U_E5eUxYxHO z07C+nbx&#((C$kL#HXDoMKqfOhr{%-Z-2;!E$;xt$4F+%iBbhrjRa?;YtR<(CxB4Y+XUeNQh<+niC`FHIGLLo2T~hBJeN zW}Lj!p4<~|V9y_O)>k5KQ1Yi%+`A28g?n=#TOn;<`V;MtughSw@5~2%C@a=2zG;oj zLrd7wV*SnCkt%VQey)7yt4Y!-s$|0)J62x`T=ko=8Y38>$NV#L?us`JWn9#y=&Q*6 z01J#l+#@>s6m5c30<~&zUO$9L;$}<@zdj6WZHf%3vNc=E`ovQV3s8n8Q^{v_1Csn$ zeyUnL2g-q%9VkO8-BuS5GlYUlmpp<()R+31FP1(zxS^$CPJA#oCeCgaFp)E=R0jo~ z?I-`W9l|?C-zt>dtXm4lgwTbA2^}dpeSPvBj8HpMIu1}~jc<3yBOOFGL6268d#t;1 zVHiXR*-X`C7a9T)scJD%a2lh--o27s(fFzU?tkFa`=DE{^QbMUtF(hYG+-Ot$8sbI zaReWz9;+x}0I<)awg9=K%m&9WPmKfusHm&_OfZu?p{ZbiH}e`{9WF1fM)qw6FG;ob zLXFrUf$Q~)kiB6hS=4F)HiGjnB1rPXtjo_5ru${?VHZu7FYPi1n}PqLSq?8uyt>a@ z6z@6F%>cDNaKDUdt{v1q5U)`n+g=5<2RqZ^?MUJX($3OB<92ML(`iQYEHz)ls;vx# zEDueTNA-4bub6c@CH)g|q33spi+GlW!wMYShI?lW04wX(@9tYARIrQP^#B%`Iv51u ziMT<^B=9e0x5qh_B?5)fbgs=p!%UxClTD82oXwQP#DNb!wzP?r>(VNJ@ejvsVZyX+ zQ$0+(Qy;*7+?q4)u;=QW=B~5}54XOpxKu*YSsvD=S6~Dk(_K4(b!Su5D(Fe1 zSFZqoC(l5Tav$q*z3LDk_$1r$WLqBB_VI zm*BYTAAhAkem#p0^I)#QYy|UPoS8oUPf7n5uEmCprySF50o<#=b)m5S zhz`|Tm8fgr+LE7N`jQVISKL0>Xim(Fn6yKA*k;?8ZOsJr=S^sur7=OlsNHy8zT-RF z&^Ey387z9GLOUy(u!x(V&b`rKt6Pr{l}ty-9t%aiaE!pXm`z<5hNzXxwcm&iiKUM# zXiR1o6yv=(G$Z0O2yt!wi%jWhs#rM1K0Bs?XJoquk4tR7JDZ-z&_UX9!=3%19r)Kr z{PYAwua>sHt86_{ljLHH=~)c#LA@KHAPlX`fouENTiFt5CWxfj1ea~pa5)J zgNTZB=bj`hXID5xa2nhNclI^ddbOnW$MPRkLdBD+xsMwna zF6n6YOHtryMNt#Vm@M;J1BGfTW}#E;QYzXmk7mtuUB)gZs; za-?VbcvV*cIQYJ>XQHcs5gwE%xgalq6pqdVUDC<3I@JbSeKEhZ9dK~ed&I;xBouvp zo~ry(Y?9#^|56%A{D*O#oO(xeZ!(={$A9^2rz;9xO+8Oe1w0S6!P|JF?q$_9kB8c`=SOrI z8;bp{pxH3UEW#4H)e3tyzv9n|xpwrI|8q{}2%ov+-yKP= zd2iJ*d+|!vUq*I)DK(>4L=q8&U2kDc;{ z0-pvOkV`j9w6|9IjG5X{Si4X(8TTP*QRsh^3rHP5s#9eaE+Q76le7YEAN~+7zhuu) z;@ku?P~Vda7l)G5&Ih1<6HC>u7YV@%!^$teiy+og{ZNBN2^>vGzXhnwUnf53L67pJ zvG^lN+9UyAFgqUZcrUO)p$+#)8*qlLCZsWtN-4;@Or1a5R1f!%RHgy zC>36n4SjB6h=Ts$9^qcT;8+EW z>aj@Z;MkL>us$^Y6t6i0z$+pS53~UghYKU_EwbA?+qq@wbx2#Ap)3TwcL|&V*n7}d zT|_q41o*`Or^X;%bA@Ij^u$Q-@onDZtcj5+!FAOFj+vox?>U^3DXQ3j1R>sZ#ad0F z`N3Se;7EtmqlwEEp@H;)Karkr+=(x($SAJhC`z!XLlKc@W9?d=NVzwvRard2M&f|Z zJQB{^z~sl^Bt)nBBcEgc!%hE1fgmo?AwER>re^r2Ua>W%ZexlflQR9vS>N~TKowx=Upr^M@WpYX6lSM-A@6(nXyEE)lK(cmJ)>CBK(;ml<5(vQ2ev<9@y9)7P5mCGyIDaR*gvO zAJ(ywLo@4EJ&Wu~?exk@_q>6aUeZr+$DKzDs#85r6!qkRwpK+Vk} z4<>^lwEzyPA-h75G)odMkP)6eqzrhju&i8yLHzo}zs9WhGVn!lrp^Mn`L=y`4;Y3B z3)e$}bIF2R&o=ORBI6h`!$X`DTJ+(kZ&kJ_j+;$e)cn0=vc($I?1?IskL)!2gbkP1 zfjJ4r%8Mek9gN1bcXskt7TQ6L908_;odshJCh{gK@Ni*>ySkSlZN-M zO6q~{zVGB8wQz3|%EpiRKeU5HfI?|tXTpza*r9V9e^7`UC{yF##d;tbWXl3r^O zVSodMSSPk?4Ts$q(5mylB=-M&pwkvum;DedY0pbZ8A&v^2AGxJkZW;YFk&77|Ev>x zi>V1|E9DfOr6 zPin_xjuriJRW)9E6Ef~>^@zJa`9yG&?oLWjBd@FEJ#1lwnLsNn7S`4ZQm|_yc|`IC z30yp1=ez<&y+y%CY(yR68}qKHz5Z@f{A)6BOUYW3=Ldm5Q`5+76s|xy!kcgdhi2Fn z;GKA$tVDXjL~Y@`%GcyY)2X%#DCwq^lNO|8RK_zQP2_{NX1JmY6kl@g1)X)H#C8X7 zNN9(+XUy!tg&a=%B`ho|=Ga;H>J`kpEaYWtoRUubPvXm=_ll*)CQfq5 z;pLgaL7#3bMRzt&rSJrsUBY1}g!hXzQ_~Fn?0lVmvYC3+jU9IjIuZI5K1Sox*@q{v zqPdiYjz4X<^eEGoZP=Pd8^+$~?dNoCZ|ugnJnAlB;i4be+9~X4&VnR({TkK2BTfHhxLhG6o=9yOP%$Umv&HLkx zKen!)w_dwut)Moff5GqF0p$N4RmhJjwbW89& z!-5JH3LgIL74ha1yiTBT{ZNrC>s{snVsPQ|b-$zWznAu1+5$_3!Wa=oP%JaF3X0>c z*fiv1w0E$5C?yQ8Dfwuc~=eyZcfnfl{op_ zzpJv%3VWvmO(}&BfE+lWAxRXG&l&vPrb_Ix0^&H0cGk4QL0y<8x zM7Ae5diJqr2} zJOyyQyt#N}rcLj?kWko6QQM%qkxfq5U<~b=o#XDmwe%9YdjIl<97dHX0reC5!Ptdu zFYI(pcY+odG`MkJS>9lbYvchOgooF%wx&0+x_?=q;OPgj-i1Z#&u0=U-R2tgfHCc7 z8O&7R{q!Ta=9dBGuriVSYJHmhTB3tOclb?0-zeQOh3Itb$rT7^@&y-1HIJ{A37EmB zxC@rB+~FxM00Tk9kmTa$QkOx7|pnh!-}4T!{gcNn?1z@K3hX z)cmUjN}c1;_==v*6V|-L*q{n$LmjF^++T_;GxNLacIJ!l#IV>! z1d!1FN+^2u*C2By()2I28&2W1nswLCym<#tC)Q)64H#7ESagq<=Jj&WYLPwJ@09@O zKq!QMBDVq_5E$EDuCLkx=YGjU8|7a>sax1b_m39z>DsoYCW_=_ZJ*x)D5zhGn1YFT z6%2s4O}T4i&K#JF^VBgVz=LOsvvKtdjPrt>@HfbH3qQ`;-84sX6_WJ28_Stt)BLh> zDJsrsElY!`n5iy9(ah^9$@i=(Dg<1>-lm{|0W@UxpHY~=a?HBG6N^7%e}Q!B`WO-H ziN2-Fb-Ii4F`zc{@IebN`!E^?)F)k3Zzy6vGMC8nW24s3;AxsS^NO|&x!{miMO>}r z?B-!S<_~+(I4$`F?&-s9PtcvvivFWtZCLrH1_qC|81)0BiUKN!@qNyO1A#Zo z+caafWzU)^i`I(VYGHFEP(k>G{&GGNU!=wm@^VPX!0kXYQdm4|JE@fp>I^xw4sn6R z9%1B)|2YAdL(ZZ8n(K-3vKhnLYN%^*TUR>MyigaB*bW5QcE#FO9{xk@m{>3WoFZk! zj0=%b#Zi~P4UuNQC_)S|bF^+0P>VeU?4X=1ewVX<9gm)OWTXR~vz7{1> zf9wS0a$el#eoo0*%lAk?`Jp#KNaSAoILUilBuTqoSbtdJj*Zvt3p5k#-(R&#Y!mQFt>=4tcRu z8`^$RV!vu%tYE|*0+fr9^FJRt7({X$b+S4rm5OtMZF~ecwxuZ9QVk0U%xvp%nUsIG zz-3bY_J~CkimzI0w3HDvST5yF!S8L_KmN7REb>efWUn~lO3 zm9oMoI{}K4@`9+4gk26FKEiz+r!I6a5XrWme!qM^y#9(;YX4LHu+9V{S_vSxqjL-w zfG)PZ=5m+=i%%(k04+3fuY@a>r2B!k5B#=aES4n zKA%%VW7r8iy9QK`ri*WUvB2Y0#C|npeye=A;vkb`bXC@ z(0QphitT7^7O65b*>Z6#NLPUsWdYI`TT-(3ZhMZf!MHe>HZ3yE3@O1rg=r1sI39q= z@DQH6W=dL-V<`h|jx03_%XS7S1*$8QBw^Erh53%J4SXkhgH-F z4O@;)a7}q0G8!4bf@0Dz22KpaHS#ET&RWm6Q#gV;5Aq%or+ONBr!Ys6;P4u7m98x&XLpvm|>90}?hef%VJ1^|PgE-rif7 zU?;sfZ)XGNRGQADBTP>5n_)}(sF~slA*$t*%MUhhbcauf`m5>b)?i1{Y2y8(+m?4| z+klnhA7H)2aG^&i$R~KDP*%!$RLle1AXDDWZ)~)@6Vapqd4XI6WE3m~w^kGIBvv{^ zT$47yAjR>6vyDJUD$iZ`P3r3xJJkM4Exc#q@#&GGK|O-YL`$ z_|VmQJ(k|OD6|eFUm^r$+K*oKJ&jsO^;*_$7Gi{EsmwSC0e4<*l<#PA`u)%_8o?<5GK{lN`OpVNfVHHA2!D7O8YZg8 z*n)#uBM0O34*85(&~{Vn5P#{4i$d2$N@xCiz8|D7%Q=gfW0v?*ZEP2of9PJy?EUJ= zD&xTQI|aQ?C*jY1EMEHXPHc*EVd$$0L&%8%*IHR-Z<{kzdTe~K!4*v5E9e&j64Em! z^RF;m2BfwnRR@~EuX(QI1_Y`0K!615_=YRE!(u9Xg&)fM#9_q)eVDD(>>==hs zBzs!mko)FyJ%~<@tUl0Qi{{|KH?hFO zP{lFCC>~)rZ#auQmD2CB&;Y1$uPz23Ngw65-;mo_YEX@6u^b$yySnyB-I|L*d7y9t z_i5U@i@i72BOIayf3=rUg_S^IyRp?`X8O<{24P(4fJ*mT|5e6D!cgHFZsU6G2irGR zJL3dFpFTYLM&`m<#Q`B@AXJ^J^6VLZF<(QQjadNbp({Qc5T4PCL?>sxu8RWPTdw%&U#lG}iLhWDqyF03H}k%S3``XRZ9m7)>?B*@G7p z*;`9{8O6B*7<3^tC~xtX`z{3)JpV6%NIqUc(SUw`S6XOlCg&9g1kHJ0UosoJzVNdx z*Jc2cqONbVYBqY721;V;w<;rjFex~kGKzapU#Te{Fs(@0$9Uj{e4>%m5oL*7ePJzO@Wf$1^z_^^ZTXA)ml9U-k!C5Y87uKFMx`5gJhLZ)B5?9AKLL4l+r2Y-n_YjKyP+P}yo; z&918^;o$JlngzQQvvuU>0z5&S|78B?FY($TB=ik9alw@T{TSI{wE2LIdEN8|ZV&4_ zr*C0syerZ#(;B55UL2E%kma!_7}~&ns`U7YV5LNx5i0UGrw%dK%+XOV#+H$H$+Jzu38z-+o_=xHUZ`%zwQmT+wN! zA1@CMQBqtVpn7>w1&J(Z3?3-Hs3Xw2n!P8oaP-vp*7P5Ey*yl39#}ZUr10DE#Aug@ z)i~ggObp${(l#pw{7!C^9f(HvNxp`g#_q;{TIH}Y@X8Y81!e>(b#n@oQ_GS#CAcFo z6{sYV%+wZyyony#iqW*Nc4MJ~c0s6&i*=jzReewL0m-}v0rv<5^$Jm23knLQq5$R} zeFTGZ6E;f0;ir!Cb%k}PA_yud-gF{7_*z2jxe08ABZLvLW_L*eH$vLjWz{5CwuJrl zvsgYj?E`>^NWbDp6tU0UM+$CL-T5klf%b>74_bL6np2b_Mp0y2GvB#^fYE91o)OHn zBtkKp8=t_Y!Rw17jd^`cmej*~WO5H1IzvmkQtz9e#dPthEI(YyT2esNmRB3|q&ztP z=r1RuNr~;TH_k(q5U4r~L!|QO2vyRE6YgzSDXth*`tnf?Tj!Chn zrJdezpyHQWli0IXnqK0nC4Xkpx@r2+Mh>f?2u`lwpYm8izN8`u;)nlqeM#i8-zw>{ zXJZ^i9oKkYl(#rU?ZADBT*o0P+^OVIS80HNk@x|<4P4)6ubGv$Jd#i^lo%;!E@!Cp zq?|Lz(Jqjd?LB7XokY?iPD1|p6Kg7|k%F6KB^6pnu-mW0e1#*Cr}1J@wCl(zc+!2^ zxiyD#9+PhtcUAc!i5nve7c!}eZm5HX_V;qsEBuN>yPzFv1W+7~>|P5O#AqQI12vd- zjMxE6`3S-yZR3T6X6%9nV%W>}^b8?bmXa#1csVb#ot%dW5^QY#Bu)lb%VKTOj(bT*8ps zHJ5;i2-Fobst}KuX7?C$S+=wMLP*bPt$j>g@RIk<&ZYvJ<^CEKy*o4L%z}T~!Bk)E z9_f1gV{SY@?JXfn{}gW8-DqL>vUFan_jO`TllG^M(#zoV!EDhM-({hZ%J_pWe_XEpJT)2`-Hx+)IR#1Lu6$ZIg$ zc$;`^ilHyn8{W+Sn4E8RkthDI^X7A- zC)Z)&{$fiU6Gd1b5~ooVP<|lAgFF`Y%7@jog4h)|rwMOY|9_ zfH}y2B5#5c5Vom2+_8kmC?e6tW2wL{CVg1N(u%LM43PSL;TUKErV9E~4V5gPYi&wo zd@||yIn;sBZLSZ1Qdm!juf$EESng4!@*^VCDfl52bmNAC#)uYS6F6b1otCmP+ z?TAV`)?2UW2pU7FTQ4omFJhp0xsJm7EZ;4|bKm`a(BO8HA6?#_k5*XEc!c@-2Vj^9 zVA!pcCfS$z=p6{bftRziV9By=hQ#2t*_vl#X=d9&ejs#yV48vAv*QeNUCL z$+=JHL(X;*E%rdpd95+ze2^*G^m-P0Kibr@zf`af8of#P*iR5_wfPwLnP?Q0KCZbwlQ^W_9yKf^D z`(^Re8!Z4`VV6%(+1dVIjw9oPTq~N_yL{7Se$0 z>@70r3vavwM&Qg}_t3JjMUMk_A9k;ZG8yKf|&y z>{M=?nI}hOb?Ci&W{ae&m$WNYeqSCYg2vy-IvsocVM$7R$^)*3+{;*qMj&y$wVcDY z$#rkNq)UExY9VcsM-wa#(mHP@u7^Nt6It<7d)<=~5bp`D1TQj%-YCfmr4tl%lxdQK zL8V2IPd)a;R3$-8?9k-8l!Oa(QJj>YMRT$l!?b+$Jl@iVns0T>cd^CElAa$deh&GM z+=jVg6i6XLjOh%~eYM!ZuEaoZO_{+|n*x zpYJsRN{!0s&yV!VkYKz!{O|HDsl8YqVEldBm$P{36JT44A=zTs7USD7){6CG)2*?Y z`{kDm#REbFaEDU%-dt1SNhgct;B9~N6`6(6f2R|Ge-E$4fGP~Gf=9`}_#G>+VhI>cV z^1jjz`a18oP%ayJmPD?>4A;UWG_zy25 z(qo%OmSGO&M0YTj-zJKrTsUkvJoj#+Doz$}N0j1i1+qoRy{gJH$8(8OJ#2?E{-nop zAKd`P_iBWYSmG^m2Ws~}0xyjW`xAGT*Vtt$L<>x-`IUKUZ^hP85lHgvOqdw^O~VcB zHGhYZ2sX9yQZO(rK{Qijo8~xz-}?BuYXz6)`L$=FNTj9nLDLGlY9s3KCF1Wh7zs6e z(Yfv}dPrAStBLVnk8ns9U$pZcA0Sj-%_xAfR=(dlD6%3W>3&=rp^x5PIAs?(vBZI( za`iE#92@Lu;Rh@CzxpIDaysYu0Iyft2m4pKZ|YC#m0 zJC(D=<;YY<@WM%#i+?H|^a5Zdp+gd-s@ej)JC*mz`v=vJLCFC3Q+t|wP6kaQA!em; zwRf}4r|*Qn_I!Pw_3w8VP5jCtRSq-fXN(yF?z_W|3L4czQNxU++#5>fQM$k%Xm4HB z<}V!avJb~EaRQ-K{xn3wh&%jtFP?3as`z`%_At8pggRQ0exE1>>HWW10Hiin-AQ{a z??&%6QU~q z2PxzVl!=62h9(o=n{f~3gJ1BDxhFg;;w3gD!0VfX0_e$3oK`eeI04@sWe?+7rTD`q zD0hFLy6)yD**|@+RYX)%q*Nsvw4>1{*Z6jh-~kREXkanhc{B71Q^2wt&IghovX2{| zwrHv+H2H(d;D+xK^=-TIyc~ggmYTu6U(6w?dh*xpeq9i5K$0c*#}5Px;hyqI1}$8S)WJg80*eY# zcNDi&?tEelV!R}6GmY1Kz|rs0)^Z{`OpKnN&H!+hE^s2*IrSKI7#USp3U6;sS3h&a zrOn5B)hsUViuO!k5iKOP+AC=4E-lEz%UZg-5HfTYuU204(|FC1?HIeFEo8uB{S66S zJV3qe0G2SvBgt?SDRO{%z?kE%Gq3>Ddv$91#Z+j_OV6*|(T6fEcIfvisxMKQE=u!! zG(tU{*ycd9HsvGm_=W6JM>d1wXit%n$VTVyMBO@+44Kd)mpxdDWD3(I;vnLe*g-C4#(eU)Vh9BfFG02>)G6;5*a~ zyV1fj+?Bf?i_gq4;KdL2sSE7gK`g~Tj9M=D*>AjK&aN8%$u*=tS2IsIFx~y6iCI8e zXRX{=U8Gp^A;}I0@));ua=lGWp9?%?uG1C{%Z!sZ~=BO+j?Ijm#D=~6`y ziNePb5660jvGQGDxt)UZWil)0@OvvYB6~Bwqp&n9-F_ezY~kH|$K?exmkQeBI=D#| zM!IXOl?Sg!?jf$ux!m^;Yk6QhU4;s^_WL)$lJHn521G$WysqOT4y42U=4`k6{VeXP zFo!)D>7pIc+DNL_QiOSR_d&Bveh<}*7~>nnEJy=+3XxK@H4%6DA%)ydS&?xz&^cp= z8_`!NQnVSUXR4%&ou^-}oW?%g56M#jXcG%833`Tot>&*2b~i3c(2LS~zaA_AswfW; zu`|HBsKbE&gSC_0iF`mHXE#HyasABJH(94Bp&1Y#8v_@BzL)YSi8PVb0qJUua>(kr zy5(-^yuvUGnvGA%r9cvBQ~Zp8q)jWi%QSVB2nsm@Y(1k$*rAyhi*_bcZ5G)>mZ)ftkivHLM)4#9UCR>N zhHKNSp}K~Ib%5XGZz-XF`cK`L2Yj*5)-^%XaewVMcYrA2hj1wX-@hG?c<*!3sX}_z zHy+LTzfv~IOa*SyzF@0(bJoslZz!7Y%h;~ywfm1ve;2k`($n+0Rds)I&YC)#T>p~# z;ZviMy+;V*KTP+%YrX~L{4lnbJ_}TyW_SQK-0I^ii`4KfDFud8?}1-@Di=_Ci*|lC z^IUdeN|!C|;+_2=z^m#eZo1IAE(#FMi+;SOxy!S-)#efRihYZoDgFJ8eIT~cVIX9N zGb)h|aE>7JN#JI95C*ny_RBnzR#|FCkdYrb=h621Y=w8By{>Bn`$6)M%1Vf-RjfjF z;c`TRAU&Tuww32m+2Czh_=ZJDpK&~6{f9t8J3--9^~KZuTS5okV2lgA^aosB67tRL z>=EipSnBI9k7+yofdAWu`G4RDqf!wGb+N~i4_SY;sOq|;&i0$&mLy|IDp(VQc1h+= z6A2R~4DSI@-mxriJDB1^5w}T+!!@3$fU;Ud5h`b%7o-oPyTzqJqVIedq>9WZ1Oxc@ zob7|qb3A|5O){`JA0&Ak&$H*qbHd&=q4y-?KZ(FW6~#k3IJQcc>|RoH=;ZPSK4W>{ zDCyqJr1VB+tPaTH?VH!%XniD*Y8evLr6CUcD?JNdQhJ+|_l)_eceOlW{JVPEPotaW zJl9IE7ll2eOf^y5eI#|&dCOSAa{*C&1*N?gUGNS@kqne1fCj|Ge&=8n!kA9IL%eUY zPgx_RNEHTD#Q+AIPyjf@_rBijwSdJ<30Dz}mf_s*`0v(n7#M>e;QJFETzxXn7~5Br zx80OMxbh)Abjq=};uRxrve2f!HhM`MGX+XaTPI zo_8kW(4) z8PS!4Qg2>bf_hidXvm^^)ylp;jYW=A!xmA`t6Qo>y_|QE|EJ6PC6TV4TVvM8 z$UmP1E-$#9vilq_lm*4n+Kej(BkFA_9Z%V0~RRq3QS&;uslGP4%$XCdTJb zZ#X-`rb=Y{!3vY8(VElJl{gBa$nv-}#7}y*&DRjL4Hd$>K#PhIbF?=Xxaq@fZKIRF zV6hqM`Jl;cxhQC3ubKW(7@KZPf@-=#;r7i`P^fD^^+*_X@q6B$ZUtrfUSyZOkOYu< zqJd@xkCe2)uJ(~|2`_#@=Qfr_V9@3Dic!)orkI%ov5TsUQdw?zdWxe@RZOpX!xvF- zQ-gZ7xn2NVM4k4Ps_$MgU3(;i*Qz>vnZ{IxT%pk2Z0tci9Y%U52jK9fnE6m)@oNJk zbk%D~akf(E0cxlYY=ioW^lc^`UdZ7wN2WD@C!|72DF{v5T8uBaIW5iI?$gXtpADcP zD0gn&D3c3X@NbR5B1568Nm;s~EzaL2-pTF%JpcRd)6u_Lij?2(NK2>3Y9XJ-AwYZk zN^JcVCVDNhD~kL?NR$tU?^OVWxT&_(`p!Yfu!xRqgIVWeHlJM|qyvK$x_eIQL|~e< zEWkVd%?~RP7tW#SA)aI+YR|(|4G+Lcc-#S&i&(P;j*~6u|KlDgqrIJH$c35T4q3vwvQ2 zq=E{gpl}^bgl3dNQXE!GDbdnQVw&J^eV_ih&%CpAXZ(l3r)zE8x}%nY9oF7lw0O;e znxoBNkq2Z@)a6QD3$Hio*fY=YODZSjQoX@-Qm>WOz?x6)9UHwgk}cIa;% z|D$sDPx2e?#ro=r8(%;hcOz}V#(~*_<|KBYKJJeKLQ;8?85KqprWX#dK790nc}-2s z%MdU-HSvh}Y-X{=Den31zjV-z0s) z`r`e7KHRkW7|!y8N|6F)W;a7jnM$x~>j67T1U~k{^ZEm~y45i4Kf!p|(4I*=*G-R1 z`xP|X4MWzBmJYqAcIRsj*0UR}0!LFI(K>6I;1Cb(0%oDL-*(X^MM~RwXY6d%^1AU1 zgRytHI2R?J-B;7N{(hrMY3tw#OK@%?{c2TC2nBq zkWoe#kog5lth4c<`&3RebByw6F3+K0i46zM?sm*njakqV|McDMSoi7Le2|qUcg0}? zTbjI=Dv@X=7ZtUXnNIe;Exoen9`)p9CYLxc-?SIsM#GgKR1vR$YC3i9mySDM*n-W_ zBW5doJ_DE0h+jHGex_!PoDK8*3^~sNFPr6GEpc%7zR6{a!Ahk7VwKg!#OHRGBFD#U zp$;_^hWsA2r<;J-EYW_0;enxn=?B_*mE-8KcHioXOYKwth%q^jF@oSl4MXJs-r1Si zAb``gnPQ9Aq3>9Zc3+Q$eMzCfpv3&gj`wO_ z5vhM@kg~i9i7A`|iB|ibj`OU3#+~>Zc?l00bO9qeP4U-u(9fbEr%==Vv2krw-Xnnc za8{pj5z%FqJKVV}zoqJdY^Ljhv*2-oG|1VfV5gAcS;&}B?h9EZAiZRMKF5ZP&B1s&-4qJP0 zfDyKOYFJ(5N75jARn2Xz|48+&e}yp1$i>Uu==!I~(Sxh22L_k*b5}lt4u?O3DyWN_ z%BDvp49n70Ol}G&$_65K#fEbW$4=NGzcL%QATY%f$Ngx^&(#fu6a+xr*m-sKm!$5) ze);^OtaT9UCQZtin%$rGc8)m2o4|sDL$Mz3px%rH_Prcn(R$>Q8g9w@n*mK0fGrgW z@&(orseq)#9O7rP?piYlO9IvL&mK9YDH+@~hKPsQF@cmMX@H8?*l+NPY~<_j zL)q%#i$Bgp>tG`;ut`;jRQZR&$3r&!KUG-bo+yy zv$yot&#+@at6XBE@O=bn&WyTYusM7Mdyn?BB8%)Jaf8k7{?DX4@e9W^TWXuv@MzJp4XEu%J`%t_u zbursG~Sh565w&vLXwn7}-J96h>6cpUdq%%oys(*TRF7)=Q2X6L#k+0!2lMk*mYi_KfArO>p0B@2x?1n%I2{W|Hj)u}=|n1) z3I=5805wzm@AxcO$;SB6^H)Xg$Ez(yP;6z2qN3u7S+6b#i1!)j80Z4|1E%35(%oP* z(UNmx`)lTa3?y%R!~!-m!gxRvRdtN{g)yTLA|+d8gHrv#e8-Fo0hDe-OgOe?1#VM# z0TYL1ex`W~ypH*DGT3}?TJj^7sCnXsl zYu}e3;Ey0uuNZtqRPd|)g-Wl9Eu5f`W5CfYRkq-djrf^bCEs9^3TYf2?YS~oN*8u> zW+>lFNPQASEeC)6#9wsIH$>5dh+_O32C zq3TsL%;Bl2Ra6g41pYhy%KhMDA^g~Zv^H=SW=ysx4$H_@ao{0dW?LyW_OCT6yY$BZ z5hhgrVVV zrI_1b1MJ!*_-4q0iq!ILlYQ=z{P4gAWWBOHY+C&Vz`f4rP79A${`E#sxVXryu(@C7 zs86~e4)E;6JXO6|oEY;a7jY@Mue{K-D?-69EBjIm774Eni^2gWDCew8mb>%Eu|-{5 zT?Ku-bVPUB&)v(jkCH82fT}W|x$^|GpPMirz9RxZD=@$!E9CQLqiX+8PGCN5fYnY8 zrh|V3YIP=bw^Sb4=?*L1GPd2(d9=1L4ad*eC@$=Owm6#R`bQ6A7$lrt*YBwYp>N@9KnwpjwE6qr_ZV@_-p4wBf)R1REYQM?H#K;%psOK?(tPHOyZ*7>^a1!`R zTUp&4@zZ-*(=b#+8(_VF9jK1U0dq@^7_^M6b8AESn#^?iOG(6->}NL}e)(kIr~OFJ zaYO1b%ff-w?p=&WecH-32nQXI`)HI%1BzJt7I(#Zt0$iC5xjq|dzQ zk-{ZfGwZC;MT!n#%#T^sh^3Mr{APUm&MZe&U-1K>$87cEiKTcYbDS}H5E!#SqP?`{ zIS2mQQR8;u2B=>HXTX&4PjOymk-kKVlpWa>k~W*k89SMHiGwL;(NpwhLPW7bGc|c* znMcuH)##f}B-C0u-*P7u!2)a2f4?6oT+3b6@{@DY5xlyg@FE@!epDgERPNZY6VFU<`u!&;{P~t7iJ`$gxy9hSk!@1a7dttZVGV^S;_v7#altEfP<@sf* z&Q@Ji$2cwmw2JmgZpfiIUz{nq@ev?Q5~qAMgx!|$G%;(@QdLNSL!Mj>J+b1_cu71K zRDAM1a0zDNvO!zq%)mdADD%`Z5=q0!_?mnzilop7r|Ubb&4)d_K5~cp&-*;FAx=$3 z5|4xq(es`^TwG!c4$G?dX}M>*4-213mi)%nEB^v-*M2>83g+`$>V9bfe~Un-h=`@z zdpgLpg0S!@^+1_7CYeIDwTu%Gbg&06LfAx1K?1GHm0)Dwvn| zpu=fjDesM%$?=g3!%WQ!($fTXjb%&%MO;OK{`e<_Ll(%(BK6^MB%1nVW9O4n6M7O0 zmSSNITX-NpWNg~snD+3^6d4twI^v4&v+R2gs$c+M>gXMQ7yBQ6yk+9M+hLTJ_EIt| zzV(IltAy^T(xB5Ozd^nDzFhubQzN=*!>`Cbc*0VwS=^nf{Ww+ww%JqR3f z4EWoWdRC&CCP3Tz@LD^%#wA?Y&a6k6ff}#x3hOSnrVrQY!`nHv%lh2fk^gS50wd4= zUL+z7{u$O|`7NGZei6O*iw9>|hiQUyIjeXw3o7Y+NS???;;0!!`fpE@m=|k= zi>vMs`CMBOhtvnItikPj1i%UPQ=Bg(&EY1cK9-kAf&U$Sx0CoQvl@VNf*3{eJ8Pw% z-&QKvi9M`tWu%2rMVJSZ0qWr63^dkFj;43Ze{AW2fR0;8fE9xJW?+gy{!%180}&)P zqmEY%V2SIJU2&BQ&1E{OHDBYwxwtS2eI@8z!t2F6~K`=A(_PP!1sO|-N{PEe9($PVJEOg zZ}Pao8$Sm#SiII6f^R4wMjSQ|_KefiA!%T0Lp}aucG>@P4u9f99x)Oa2S7(17!MYN z=dPeqc$fX-B({H7jj9&@7U^Sm!?DX{Xj)_94bzPeh=lY{*LgsryV9Nwx5g${$hU_+ zQwrs($O&aXl>IIXWlS#|V}6H6t9j}@idrK^y^gIn6Ay%L!3l!{WqF0}-P_oxPE(`P zXoG2id&Hx_Kq5>M`ZTmbl^nj9@OQdU%&2p=dKPDfEJJS)~nrD@+^!QThwCb5Dk&dy$V((YxyHQ==h z1rGCxDpV=%*HXZaa>~5~-|(Bd)^umNt;l3!OuC==!gqqEZ%Sse5u~k0o%8d$UgvRPXJrCdV15=E z;aRMTE#ay{#EMqLBNZb@nIgr!e*eG1;IAS=sD&9P_c5&2UG8||h=W+=*$y8O9toh=LWPU8l|R{8?(ih?>$rRc<2t}tPRq%b`Mw`i zZjxJWzC{2MK5HM(91mAr z+J&%e-RGr4i9XtE#{c))w4E_rOsZ=L_g`e4Ra6||wr;x{cXxLP?(R--f(H-o?$CH} z4$ zJY1vSSJOjk8CUiO7u;qeue9^1JpuzpI73tUa?^2P16W)46?>?m#Mx0_GBAava!f}; zB>VzGtwDwg4p9dsoSlCAWxgBf%X!@jy&=^?CO2l1pNfWbUBloiw`tKvc5%IT`B<6i zytaw%>%`>Awu=`n(xMeJNK=BXLCjv%oux6>f?oK86=RJ*Zg80oH-uk18nZUH5Xc*p zek!ZM9tD;n17V?3zLl9JAACu5?x}XE@Qofbj>4QngeiqZ@dP_+(ePcj-BFZqO0-t} z(jza0At&#?G>9Iz>ZH9Hqnc@jdqf)RM2abWT8^?^@=Dm1ruTZe=HJ`isa~RuaU;6u zrPyTrD`JAeCql%wEVe?-`ATKtR^_?kE@Zuk=U+IrbA@P(2PogH{@4m|k`#64HsDY* z33y4*WP=l;-1{_--3whb21=u*Y_iKgFk7a2BN3neUqd%!wr{YM301cFJ{K$?u zweh;|gYXw(C-&!g8RHMQXG^$uQ<3hXBxTS;8O4%vF$~B|&I8d@LRco(aBQ8RGP*40 zA9Rr^OZqGIngre6O|X6Kun993WDuy{MH8oLXQku^;nk%ZTd5aUu`-;=u}7ipfMv5P z7^VqJdaG6hRSW#Fy-PQ!8X)pqQrrv_NI95v%B1B2@O%bUa>VV`@7!@$f~ZwG+|=T@ zn45EUi=n;>(DoUqye2VVC;cFI{jf6ybOv_gLPyuu8KESe8m~gj`n(9Y-T}Xq#9H;R zB>a#szad{V5DyY-)$~1sAR0)Uw%bo!+XtdFr}Vx3Wo9)c=jIlq1x0Gw%?M`ExYphJPuJ7JScOkskfK2nsu3}7rPyove zk~FpoPMwsD-Gd=2)DO>&-Bt(@*qP1f^rkNAF~Ug7#9)(t zMkyX`r8-a+tF?IjstqNDrJd&y;7R6g#4V(-iiPC|*I}bW$XJ3=x0t#{-q|HF$DYw> zVlbvl#x|Ugzs9yfr&^npwYW*8c&I%ee@44k2DPYLp&!H&6jFR>O&ykPhrcEC|KwIntibBQxuxUKCUP%dN`}UubT;S)4F?HAuQiD z+$6+Xsob-j_D{FJl3V4bASi46h|&YThk4 zFPcCbw3_{PiQ#QQc(ozGch;v@HTW;q^Y?YnU+w@kfp>TmnJWiA7j#~$Zz=bpXnC{s zm|2rk)f9kF(1@rusf;ZU0ivet{`Lp`_ZzZLZoE8m^FJru&V(>WzH z4*GX%P{HTjSvK?%TiKyMWNjqL4Tc67IA5*OY~cx4DBmPZLHNe?S97eWCJ&j?5OemL zKKCi4UF$kc-(a6}eY+-h7^|tdr%qdG28Co=3hP|HNwqbV z7*BbaJ2*Y;hT~L}cmI#<9oRu|q%_Y?QI62`S{2>){YfPd*S_?9gsnX%$FwHKxiZ%R z0#4BGa!vG>u2LbVxPwR!F9)~!#%>-fok280Nxl|wOLg@H{M!N1wec_*f>EMfplv>? z9-?x{44XD-__aq`A(CDtL22+O1KaeIYCT7;m@%v6tNIe#R=5S&a8%6|+zV>O)MJR} zO(cWCHxqlC6ct8Gwywg$D0XS{zig&%hOeo_zMy*9*@(#GnTMZG=1%zS)tT+gg*C9H z@QvxCjTw^9n`0R6nqTLoOw!Fp5KH+v!Y-%krW(8p?Np_#EO}x-p8naq$|})NZ7Alu z6rswh@M8xuWHKkW;IIZVmCU7sK1N? z6o^=cS5uxQzucD<8`tI`<#NUpNBg0m6U+peHs#Ze2FlN-1mG@(=FIZOdo}rMNvirQ z?D3JwKfApN$8s!S98wY^qOJ~MZb&Ji$txc`e-*Z!&g&5eP+(& zf@NJsRbBJA$dB;(;a2+Q@U$B^QHS%+Bd8(1DSPC zok7NWcvhMY^bEWh%F&c9c?;2`S}P}FM5F;2upk-9&A#;OPk*TH0f<*iIN4{q@e^{n zOiU{(Y7^J3e7zh8&}i8_iv7N)dTbcD3!|=UGHPURvmAca3?}vmS7j>I{KW#)d?j_` znB8BWz3vUb)0U-&9r`AhdHnl!a9(+G`aR;weR|cSLcDh3%sslm(Kpx3^5x&jgYg*p zOJO#@#WiIBf<7S#=kTb8EX)T1P^$*O?#mlTeb9R0o2f0)^aG$;QCQMD--$^`UDu+= zu8(>uegxRvS9!l9n~47PpdQS=gjMM+^?qLq<{t=w%N=INu}^uj^};X!VxQ+nhGL+V z^Zc}5JpP0GQ|`zjpeeae{(k>+l4dn$9%DsE86lwf8N=`^TdDR%cY`>Vummd}Owg{Z z=xD&}rP@8ev!#kjcd@M((GG$>=RBODsgHf5PN3336Pnq5=*3V>1ooiUcM2W!GVSVQ z9*Ar}F4Cum4fxM8gha_^m)|xAK(%O>Axr2*(o?NdDp%`zc`80W1f4E^pziR8q8&k# zJRtkQiov1}S?&e8fD+%*bPm=h`JB_=9__-((3F7vF2qR#Z?|_k}~Q9MpK< zuTDc&isF@oh%Kib0f6QaiHp9|MOkpTr0MhC*?i(t-uV+ELJ<%lo{cHp9iTbr^{}Jn z?l{~An{ul5KwV`Xe>1$Yw*vDzddB89NoDBhRf7ZrjL`-T+e01lbghw3i_a@@1;9ZRO6y3Sh!9Dg-3s{p-# z(yIKMW7++2$SZC-2Cm@cCH=z-aF_dmnF2T#B~R-buU) zZ^HevpjQJ9u)Fbw+Q&97cV{RCQOY{G_A#`kLDBcQs0UGoMgjg|gLD{ABlx)prP9^< zqK_wzZRB^w z{OIGM*mGh0>R6Z6*M)e|v(OU{Kom70In#JRIu6-tQN87w_jNRPiZ2N5k7O$f4k>^~ zFiZa$9avr|fa=12&i?UsdHzIdxXyExOed95YTuMxB2lh-;r+uI?89@@WST{Rf6ekv zF?Dz+A}d@~o8)dSrGc}CxQR|0rqB3D!(#Ap3j5DWh8$6t=~`*832BwB!A~7WymyxT zE{2d?Hov8oF1C3{GrQqdkbn>V;`=|=x)o83QmS+zFNyszbovC#dTs*V^!f|E(|Yne znb&aq1&B_9D*rsas3TGGb(W8C`i`EYu39VRN_A}e+_DTy(2`7(rbLpFR<>dtvpOk< zMTj=O2B9~6t7Vc&f4no@uHLnlsTE<#0{i`>iah5G8=An3&vZSqywa@K6Cb1guhoh2qK+3c9#IxH>LrejbaOF%q6HE>Da>mt3;6OYMhq+rfv2 zdBTcIA(t?J)$v6pK5wgBV9o?9jLJQh4f723vXgqe=vsYPW}X3`UPqJZTXBL$iG8q1 zDTjK9>o0)6oNstK!)aTGeUB`Ly3RWm5qUhAlcqnjuSt z?uj<>UAIcCV+r^jc&*%77U(Kpo_mM3R6rl6{!F|!%P(zwB{EUW!U%twXX4v`%l{C+ zuq{gI^h1?<+zISz;VqAQC*ABCI=}aYY}7^4zy!!4=58~K0I2<*xky!SoO^ef!3Sm~t2HKQCdmdGJ8Ws@QKyPlwXXL)UM#`lya{ zMB!S>?LjN)4$CH&;|h**#Ev`RP6tXorm&(+!M9-g^P=t8Mv)o>he+~JQuZYZrAJ_F z73<)aeg}~a+wgjq=r#{{5@2nu*p}99wxmo>TEMB$II8SVE}5 z%aA|3doP&}tQFcyKgfMogfn&g*_C%bOdV>a-^7%dTz5Vkz@|-W>rb{iz3G^?0KCA)2RTsQ1eZ!PetUU%G{tk?$>7Zya62j z>0HDmIOLvI*^?A5mkXqAxVKJZF~1({ALJcn+p~94p}ACTd_~C0`~ljNxz4$#FKOJP z^fcPo&+D-E(i*IyRr6a>lzdwrC+M2tzDDwZqCWjTZScv=fqt719P8~7)x1TzLwb_? zvz)nM5~>^ZC9cRPwX>z_e#FFUc5{62wLsCCg7f{af~e3u^ghMngr)*yksHk`kCI$!f3`zi4}X-JciPy5hM z{E50oOyOg}WB1=3mqfj_zOTe}Zz3~}60`PT7U?=_TeqThs3fpF zcrEqScKcQ`DN8K>!V}V7iRDW8x$DoDl>^Ws#N-ZhMPUEbEpfy89D{HyLzWqdEkPUR z6)EDZxWh-2WeK~hw@4+o@datBZ0l%_F%ZREU;wiz99;)pfIC!V5`Pb+l+N7q4RpEG z)RMNW%_Ae-#M8Y-SaVbJYCBlK_V=G}m+O1A-w&Ku-$T?9j`cUlrn~gib3tR&|6n_Fj13GatUGiy||s z;aUR1^!{{K(L1H;q@b?FFEhdme><1F4|i^YON9=$4hW7A&}up0m_Nn=Ii=vecWk!a zYXG9IR;uq)w$`bs)NtAATQ38_D^~1PZ^Fy_Q=1-w^kI zW)O2QVWK|P<^+Si-1%k`(;L#+-AhOP0eDgrhze&@Z_+>fuLw@*$cbIH|E04f92<_; zm-MuE7Xx-Z891_s%lO-n>wz}pc-wS$vcqbteucx|%Z%W|Q??*ETNq|?M^HH^^jeZy zJknAKI@tLLI98#ek{5~b^CZ^kBkse4FoSh8-v0B>{pgT5Kl_1*1L2s8#;^KoQicPM zEtWobvkeIu7JQuJ)F?(z317&jcURTobp(tYvki1$J5iX^7hrgMlJ&gq8btDBj ze7AxhBf&_e=QvV*guzdhhO-BoT1q*wiS=gjiO>d5J|EEy zNA6>Od9xJKh+DWcw42So6SO}txHXrX6|mO{^trlMVEyM%>xsLS6?tp$^U5^xng1ZY zf^NSnny&xwn9v>m$hD09NU--Gen_AI*+b~wI2;5SefJl5Z>zcAKm1gC#2tuv?xJrf znL2e_v+xb-JnQ;IDsk$)nd#-Rt6sHXyU}Lk6iQ$q?2^f?b({fZVi{@=?sv9)B zNlI21(!Zu6DQuDbNDh`?Nlooxw7B%-xuE_W}%38Z+$T{pt)Mk4BW=WroBcB4lhf)oAd!QzbXYUW8+~ZLuTqcyERoAD zbZXo_==V-+ED>LA)*T83HtLH;JcqY=bl_X007vH0ymr!Tl$=1*LL{G8za5J1w@G3j z`=ldK>i%N04(18YVW6ggdoo;agTWg25mGeEhC;{QKj4He1(>o$X3|MA+z{h>sO>$G zSu?_y;T8U-1WE6=d{KKch~9hi?Oo}FZV>2{w`yh0Wp%4aT(98{zuMj@L;FgmUFiH- zD=K1(=TyG<=WE2P+Wp}=n&7lNtD&p;+s4?&DMEHI)bWXAKcNY0)vh`Bp8yhRJI+53 z3s67k#L(Re!|cdZA$;9G^gKG2diJWs;g#EgwYgXA@VL<`FtqNVV}2~d31g0Ha_mWVb&!aP*r5^tHGc|9P6t}{zAhxqb&)QCVTnVGfGhLXn~#Gpv*F>s)O7PGBuuODBU2RUhV25 zhwCJNl?=6E7QlFgeY76BxN`B}FA?4dhO%H8`tE;1C$2zhcfCsQkODYNJ}>#IZYvTh z+`uo$5BOkbgIbz%Wh2@=AWNF(eFhS|qI->z&G!^0CQX-b#IBRTJ5f61iMBl5ygdPT z!sjoJ-3T{jB8C^exVfg2{D^^|aGIqF9iz<~fuNJT<VFI zceZX~v&w~Z&!8$o|9y^g-cZ(q*OU&Y;m8AfH@m7I#7;J-eB5xN}-cLS%J zV{4i@2FZK9t4M%6hzH`ysHRA+$@NVK;E#?Z8e}_jR@swzGghw^`OOalfE5BEgXpe_ z=d6p_c6RW6{j)MpNWdl(|F(A}bbsF;Hk=pguLrOaI)v@VE~KQc?HY|-y0RrCu3fRY z6Q8>wAGvo#W^U+OaUv%~N@bgu1{8O6RkKR+afXUE4agN873-NFI)oy9^Uh*kBKhK9 z%Ch&+Hx!+&q!%_4_ljGUyoDecVfoM+nIL`1;-aq+r+MS$p#0#Ryl=GA^6BaVl@nb> z6YTl)ApAT^;^Z&_uizAbb{(dMA+MY_CUmKl7{1<;wLg<3i8w-2OEul(!_l#yDo&6(0gQ@R48ZXaiyQl~O~IxpS> zCO#3N^H~abdQO5Oj6U)|6O3Y<+-EkJYwxmGMMu^X!-L1Je%Cu^TpU+n4{E=J;vJ2ERn_b@}aHzx;>p z@ME42$pQDHcki<*{2nz!*%n%Ka+NQ7$$n28p7oKL(_HJvu~_~PmF|N59)g@n5%P&D zd?;t|X!I|I<14Q4m7lnTxVX3UPqDw}HPgk)w+y2{fym*=L!LtlUBMVQ>r^gi5}Z%v z>?~nJaaPz-9GxuIn#~DI30T)S`^?B8k|L?icVST)q)SOqv*u>sM1`Oh zL~*6qtU;G36aHW5w08pV`sQDB_u%(bA9e097foKS8$e_MS~=D!4BlIf53`3axfDxm zzuwpS3Qn54;#AzbkS}|7h40yM1I7GAF9WWvz%SdLRuiJcznTY~Gm1IO&K-sD388 zWrNfvoE%Jd#93|*z_WwC%fuDRIaB?=E&%r6*w>2~2eZ?tPWUJFYRRDPvgQ0ET0}Sa z*Tp3u6RF1=PmE&fRAt19OcfL~F=&!9{^uLj;7Hlg{W#0BE`F4o%r^r12*36T%XS?odMR9--@nh$1Lh5~Qlpef zov+ug1fSv&mqV{q{rwex87h$~8nGF*q%U|B@!QtO55@Ivbo~JH=uXbsY{;q_*-xwc| z@|V})8_nGWnTTo3(Nhy^pTm5L;ge(1&T1waH_mD3eD(bxcn3ZZ~ECpQm7YyH>u+R{mo!$; z3!B8YS#J4$j@J=^QorKjb9H66F4~ocKV<#*@{+k_qO<{=X7l?UO$kTL zq9b@SMDLZS)C40oTnm5#PF%;{K|}umv!o_hLy&~PCu8ish=cOZ<4$Gx3H}9gOR}%x zF&b=R7d{RSGdXM18msRUJtm>r{_yx6Xs&Cm`eP0;T6K+Bi*J-a{J$Wd$&CL!*Aw-P zJDfScqW^=Y`uw1h{VlNbg>vm1v+(1w$s%4tgdqyJ;H6=~{GSGX0pF&os0DCNvR_>$iBZSi<~zEY_eabk^s=z~G20 z3?lLPPCMWa9t^@oAlj0b=r(W1DQ)|AmXUTu!djdw{-NW@R3d5CMY{EG832K^NdX=7 zlZZxsk|eCSfW-y%xhzx)%nZf~>4u#HF6d?u+t;Z$p5}THH-XSMs>Op(Hw}MZM^DiE zA~lY+hif{Twv#|e@1rnm%Nct!aLfW;Qj0oUL#Mo;kdv?4do3^hQs}s-!@hF&XxX#OZpN8r;)U%}Ntz9H>^cK6 zKb|nxQR|>%XWZd*ckKk{KO_KH-f2jBLqQok+!(?5e+->AI}nK3mng_TzG(1B<1F2o zfPKO;D3ukAA5p?WM*ed9Ci0+RnRkW6a4D(H%88GuGQHO@Pa_pW;o4$eM_L`3M+H7MQ3F4_pQVfVG@AEySTFRqKL=sBeZM?%I4G~GvNnJJ6 z)fW5AxNBq)j~8Gjm`$hDaB!}(7SWh)Dd+T{@mDhMfyWz&aUMeS|B%b`wwa8 z9cE9eKb)vN{jor<;bO;La&IjapLTTvo@P-v3+4pX*No>qy*k)qcx#bZCQ)7ZkC zj{xDugNL*K7#g%3#9mUDDYYd_XBLAH_KCk8m};rp3B(+1B`rQ*##~1)tp+_*qyfV) zi$GAq+C9@woDO{l#U;pn6&I#g&D**x*PrlIbOH?jL-Fu2+rKm9Zc=TnO++zj*R3qY z4`VzEjXCBKC5yjMAi5ZUlfa?e$gyM9WRy^p4+T{06Q7;3hJ!IcMh58D<^V5>kPfp5 zw*I?c#KK}Vzwvi1ym0d?K3rwaQdNj_FjFR(g!2cG7>TJO7Aax8!xd^H4GbNrAKZRN zez7Mh-V>j#-da)XZhHB5T+pD1``6g6#ZBch3Vi8#t6W}j_JycR_fA&44z(6H6mEHv z!V_EfE$xj0w2GlLXiANcoh}`o4I2wlFGROiCIifuwMMz!nBt!+PydEuBSyTF@>j>R z*9l~zCPsZ9OahANI-@Fm*PH7$)?m{#n**FbDiN^J_K9-bussuooBoO#FTr3APj*hZ zEErxh6rBJ*9Guxz{!2PRu+sbU88ML&pW|J+iSrG{N1!)wGDkX4#>+};JJ)p^LcqZj zA8N#`oOl?iC@nbZ<{?!&q;g1O@uND@0TF)G67J+(#p5reI^j@c=<%6Kz4RZpf3Kvn zq^NXu?>&Upc#W{mJwH_&>GUYC7{f-&HROEsR|wA@{Me9m`ElDYj8*!S{2o5lLNUHl zSA60X(6!Vq_G>uZc8fDQ*bqMu@%xP2e&7-##>#R{-l!cG_EPbN5!Kobc7Zb;hXqo+ zl(?k1QFJT(9U`{SJeIndZuBaTnPEHwjfF#vju+Lf_Bn2C(Q_eZ9)4nm*_bmIQ_IN1Y6E zyQma0Qc9&78i<(R+SHSfHDxi{xq|I!Ug_a8(i~0f199Rdj|25f{cqJylV~e|g{@|G8;P2FU)0qV?_l>HxMIXBuGB+ zSd`fceMDe%Yy-{dQN(RzTbcsrCwzQwPXE?hd${Bl{~X7Z3=Z08+kqko6a3t8t=CA> z(`mF#VD+wyuZ?C*>+NuGW#BY_b$s>+Zn}+Wm)2i8E9PpK$RS2_Y*Cd!2QY~w_454z zeSe@azBsHn3B23Yy@wxk?-vL}9Dd}sJ;KPgEeA_Cw^ZexyZ6TNKvalmwZ)Xdc4T?R zR*+$7YqrI-<5h$}=Tx{;c$iD(PF#a@9^3`m^Aar#gn+kqyiW8C(`x8moM zKrhN+%K|UHO6-f}cf7n_?U1&0PH4`KDOBtVw#kIWrnREZ;G2#J=pNeB0oPbLvCXx4 zHI4(QXX?i;7#(ZAnONZ7!LO@)Wy`Ov(w+5yP<5w7TA%Blq@lJ_&I6t^?jnlwX|;P2 zLw<)zjVgZjsozlhZJ>*e_H9^?&CfG|_tuNWn0jpjm9<|uDZU`2u2AAZtUrg7)hEyz zS{(El%=5}x5zglTUn_T=J$io)ayUt`^x*nNG0%Fp9sUS07T3S+l=s!=`rvE^kxkL| zJGi(0cA5kdSDBhe1tB-^AD<`xa?5xb6cINAPaA`tN>{s-z>Q#SAG zH0vWyQgyC_;`}@yT6*9XYF=kGLZF<(+L@+fVKeg6{C&9n51mQmsX{OHq!5iRi$4~&%6zM3O+f->7|P*5FL!Ea`054>*myJ07)}m z^5ei$XEN`ZpHCj167S`0kr^j-$PVuU_vUnYacjt5>(SV)j$>AJ9C0uF<*`GzT{A8I zL{mhjp0Gpwk4rnXbDn-p7T7p)MjwuG_TNPZz#}5wK1JP^$aN~SimjC^{Kb%Kn*`8u z|M1bMWg*3x+02;KB{ll*e~EO4gsqOWiNM$LiWU#yS?E*<1~hWuuzGHUhRBrH-*_@C zYdcZK8Q(l|J~)W6#i8VruXjhk@uas(8(Y`Q?$9=)IsV`HMDlOJi7&nMIInS-lf=4d zALI0@%TL!0MEQ>iAiN;gwY_)Jj1{4?Zm0Ft})uK&+B3qL?#XRJG2-_Tzs59 zi@I0qn-rTNF_8hVg3+Xf?E#`ku+Ew3ZWpF@%hK;qqKGOs&<(s-m5Un|3S1Ih!w*_# z1SThz!!t`qYt;#jN;7qH|5)o)ELo=;bJIdb92Ch4g8v{m!9lqA#YWXj zmE(x7e%UcYSz$6MYvPGr0hRU7s24C4Mhr6y3to^;Y_beX$tt<1@ZQ* zxxcZyc@(A0pA$9Tc#8mpi7E`H%opLA___(7Ffu~TOJn1;-*X9Z^S)Xie*Q=snD$1* zInJhGiSZLtCjc{sb&G!DV_6q{H)d2p??XO(J6~JXBct?SOh+#z(e2} zR;FS$Z}f<+abDrm0KrpXe(I9;Z5+3^)=oLutmDzAlg8hU*0i$^H&dmHNZg1OvxmpX z(!IeDBlrsEvW`yxgoTjYCGwHejhnS9rfJ&?xUsk?|h0egQ0K}ymho_%?!?Bywzq5c`j-+Tv4Xc3ckW) zemWU1N;Ri0Bfy8Kht07fBcXo5_@O}{`A&hXE?jP9INT=ugnFu@OlO`l{h$^c^a%n5 zjT#f4PZWaJjk^kD~Zz1Z{HEsEoyIv7+#a{&6) ze^nAodZoJJ4^5tCa^@~KS@3A?4K<$+{B+^X}l@Su^@F1VbdqEM*$$rX1LZ^FTvJz;K%R(Pz*Al-}UW=C9N~ z23a7y<*B`Pcz}IsT!c?uK?GROi;TuK%dUI|wDTM5^mKS?3IH9fdJcNgYgYFP6gw0N zMgAmuPKi|2#%E5yQJnlG=*nT+B+63ThY)FOA=7$D=%WC5JIFl&V@;P)y$;p^ z4?c)P8Gx%VEK$yL*>8GU4$lh`4R#1`Zdb6HhTj?K*!ItjNE6a!GTod=sIw$Pd+mY0c)*5aW{%JvSNhps2nys4|yo3K7msi+z)(G?{)t;Kd z%?)&%smhZJwC^hI6n_^fN)_>+(5>d|mh6DLyR~;#?5+uug$P)Q=Lnm@du8^CBTl#B zj`NoQAbgo*Y( z^bX&VS<8P9*HcwSeTs3d@HDcO$zW8Syk*+QCt5JOu7?D!GKM?;cmvd4mf5_em3X2#M+NH9)`^3$MiD0QVn zuj9Wqp_>0{Sor6xA=X{qf~0e|4HT%JkVB$&N~6GgOORISSbcqgAX}YK)FB8oV+v=$ z-s%|k4Fd-$jAZ;q0k7Nd=Gck)AxnM+hsOUvieIk8ey7V>_m7xBs$yc+)7`L$rN|O6 zY#6@j5hx-h6x1~t6a&O$3SS`P0;H!gAuFVG7 z2dz@z*<9C=4l|_0{`kaWB^Wh3=1;W{QlS5}{-a|uR$tXMHH|HAt%dOg*DydkB4XRu zhluty=up`)+;Od~5nHScy(7rvbRip83%4a!#)+b~%IB(FI(~&qk@=AUH5;op1$l7% zUeOrR(=t;vO>x=EPoYlobVwCQ9$raU!gEE*Ww{L<-(Rp`M2=;ei89qWvyppoqnE}j%(O2Q`^JsYIh*)TSiNeA2kU~KoDi5f+Qi{R+B zW_a<4LgoIv$ZP5EnS>_kTTr=J3O{myOEdsk8hu_8EwpHl?)devQBHkjxJ!=hP31n< z5G8GfQ%`_43W^Osx%LbYZCExo0DwW3Wk@|kvM}W*^R32Q%qJmKa>tJ z)U5Ty?e;#GFKlwNbRZcNIzCSWP_meNgyGgZEk1Qq--UoH3^(r|r}^tO0A3X#C4C{X)zP70guw)qKE&Y4_`MFqhjlm1 z09-VW=3hBvsP`QwmdH6Qzp#9&~mm>8mmY~OSKErRo>&Uap7Ou)~;rV)`}aBvf@Y0o0LZ~i<3>$ue?>Ta>@ zrgas~fHKsh3@9s)45gFWv;1~XjlhEwb?HsTPEX|70ZbvF6$=hb7pTSoZuvdd@QtLR{s_PlV? z3c&%=2f4PX=bA+Go*8deP`N7Uu0!A>Pb!5Ux$bw`9qnUHj+e*^pxyAmI@$ToS zLo>1wJXTa--7=^Yf@|b7T6f)2X#RRQE)PQ<=|fCptg)0Ol#{5ewH{U{CO5_c_9Q*= z9(Qu?`>fwKrV}(v26KSe%zjqEJ&whqD$b7zoIax2^*fL#Xb!!nvT`Sy3^M_a_&`zM@JuKHng@<^ z3+FT?7K1rtlYqgNrl0CLZ$3OvYqmFqzxuY0xC3*Pj<}%~@FIQrOllyMl$ z8!>aLj{T{BYyax5XV1*!DuZ&m+KbkEGymJ-Ztcp`L;|u8?Pcb;!FXTCW_+E8`Z*^J zjp+RP4~#DaBNU~AMQIpCkN% z(|G>oI%=&lQqUVe__E`gPo(jvXH+EL_hudT_oq$^5*B-5#;PmlChj2TkgH*9*1*|gzAy5JtPKE}%K7QwaxH`x1 zy27{1pA*}*ZQHhUlE$`er%iHVr?DHWL1Wvt(KKmnO#d_Q%r)=(ZGYeUx%P9fd#&F> z87nH)^kjU-A@Z0x|F}P=@wGgX*G{J?N05f?)tl5;ok(o%Vl0^U$a^gq=ymoPnht3m9RN%YcCh-z>gs-?ZCUhsg=C- zTV;HsJw(ZApl^u1s&!8eCe(AJ9TsE4!=Ma{$oAy_E%$(%)gr^xy8)&hC9G8KSNws- zkO7f&tTF%I)O`{#&Wn8AapQCE+^=zBI6j1^e8!&c*V=D){_9(nx`h0xhR4^5X%d{! zs7kzEYhu<;3pTZ;1H=aC0HZ zcfB4N&&2rnDG*WhIj|CRh=}L|t?Xy|92<*>@V2Q&Hg2bforo*bUX{HS7O4U{m<&ks zK$yl7msM(!tq9f~_NIsFqs7sL#(A#%=sJkqS+GGNN1A5Hlts(m8^Q}^5&OZKVlc?z zjH&f}nM+rY*TLT#5Dbxt2FdsZFDGVSdh%ieD*3*2tZ2Kc3tgAm5Mme1)_sS}@@HbH zqr~>d&9`cdiSPpVvane};)8UOS~W9J*yd zif3gr86h}<)J7oLPT+62muTK^!jaV04>xHhfIqU}rK{7+ty%tlGlVL}bD#B<+*7WO z7^J%$IJpKREF(RZRnr?dw{}@jP_zS6C1O z{3w3Y6+6zCFCm@G!-|B7zyA&Cso+H1n!2Metu6ul$ciD*_yElsYQe?g_So1>NkHs1 z&&sL+@B^Xad3@oePBoCEWfM!KzvuFvg3b1AKrkdcEUYKy2sGC*oy-o0iHjC_MV{jZ z#7gN+TY(Dx1YTKWytYIT$)T=m6dDbGd*dDHyF539>z-lk?HQi%@=RRvw3I1Nz(oLJ6kR;f#3AUDKc3efE0}&Z4T%M-P*{&W+-s5 zH^Qu2Lu{3@8H!A zjS$VP^uez#qC`NbT6Sj`17{AJbq5WRy>;kJbYKGa___%ZHc+2H)(9nEUrZK8N$f@R!`rm7uS}FSwZ#IDz`L>sBMF)5?wVd{bfb-k> z*p?fpM8_j68t_kK0NX7awP*K2YIr91?-r!ooDggOMPoGO**mCgM6%;TX@}lFG=^XV zE!&~h;tS$t22~IyZ9MD>>~N-g&$uj`guPh?LmI?pyrQRQyz&{vS8%O0=r88iUsLEJ z3dF^VA?Vy6Vb4f1DeMJ9PXZa zz3Ck%77BQnzFR>Mv#Eftm3l9GTual{fN-)?uQJtlN|Qg?gAM0t4b*;d&nijALb?Sl za#_B31!JdVcB((5i=yb5p!8hOV`NI0^QMi=1WeIQ@MDdxy7eR$YUIAC0vbo22KjoI zewP4JEZ@K017HcxsB55fWZ1~dmu3d$>FbTJBX|MJcY#=}vkF822~`(DjbYqjjYq8A zCRlf=P1zeRwWzUTC`!y?FOyK*@`fXVi&pb@nGmtSR8AihSS*#ddAQ>vQz$TT7Gz1Qqdby$ObPg(5!ex{egaa#3fS(U_62a2%8vy% z2+!nE7L4y67On3>uxsQ+G0a;+wK8N82wX(A3%w~Js%>;-=U~{QX=#P;1yjKNy&>;O zLC4u)J5;)C6@f5C^Lm(Chg`LsjC49fnW0D(?#*dGXyR|&E-Q)id75-}J6=0KO%Ca_S~`9f})GaI!_}R?9lSloh3Sgo|)2X7E8$tnfBi?oXrg4-j>F-_|nmhvmHzR!v7V1BND?!ihlaxxE>#Q43|hCwrWlI zJ&3??Sb{kJ6`IQ`Skl}iR&NFnXLT<<^jkXA=meT+o{|)`EK*B zePpA|QqT(MB2(8y6^&*8$pdkKp2P0LOF^BQm}cmVnDBw49oH8J3#4Wu9tsWpUk}bS(5VYbyUd()i|3~Db?R%ef)1m* z%tqc4?fjpyJIDt!BH);6b(JUy-$kNuXU?IE?2!DPHO!Hk^S5E)H8%HLA*08G_I8VQ zhG=Uf!a-5tl&q2WORSF#zVPwlq9Y2EQnFJ2>*_*K;(}6=D)mg{BL(S(9x}nfyWSy_ z`n6E_K4s`kql1_1{kdspOoNy!cbqzf>SJG}!>q9V0rF+}c%4AypAQ@ktRp{Eg3m8c zuN$A%ZP7@!rH!H7d)9@50U;eijY;&4(M$+4_?!OIPj9K!<3LR#le}d9&I7Gs*sG`r zd9$YN8RNklmG0V5+QLs1Mlm0Qr+|rTkt6o4H|#@}5xU!b+o@k_cs2j_HmhCJ&WF-( zO{yNI3cJL=&20z|JFXb-;P?+ksZ*)TTCN3aF5cL!_t;ym>~%$lfBdCb4kf&kecKC?1i2j>P$*wIPjAv#s|40urQZRc)HIkFXR~TkaR(LN zkN$8$6s094^0kXZC=s%p;H24OC_&*$c8+cKQ%EZJP>9!17?PNNlc)b}dt2IRnmy%i zOFEUWn2_@KS%Z#p*)~1AL5eb&bdj^ziq6PI%q%INd}goFlpVW|&$Gu#!xqchI!U%! zh#9^Zf-TI!Q^y{-D~=8XSC{WfIKhkRuy)8l`-6HAR>L+#)91l% z?9~o?IGEtbrZMHOEOZILpO-)sBA{Q}p4!(yd2#+6O78TyF5Y}7Sa6?rgv%!|ryb~c z1>NlwAbP0_sw!2P*6nyn~uf~HT73CnjVa8z#Ja0zUY;F4K~X7YzZU_JOC z_dl|ON|@v=?S4mn902sP?q~w0VvQ{lHGFEKEN8#oAJcuODgkkbYKK1!o=Ii z=AYz35K(m~xFhEh>suSfZ9`HC75-`IiY{CmVn8MTW4<}H9fh)hbBRayMtrKfh$`af zT+hDjcgsRJ#-kIuFw$maqM1sl)sPM$)K^nbxk-J<$$Etowrc*5^#F)02XWyyskRoK z-|YpyC?WPgdk7J_KM-?&{S>w~{5*GM+-`#9pf!PfmUBwXgmlpP%u@c1@ZL4-Rn5%H>&SlqAp;H5pEknT z{SZ#F8*Ru*2FSyWjsjtMsH>ZZN@-`PeWv37kR}nhP6%WW(^?e=BDYT1yFSRw5(h6W zuG0K4PyBr^inwX`Z=H~H4c7x;dM8ZAVnk3H$0KVYK|O?=651WYvPG*7;2g+dwkgH< z9!BNj?ei||k5sjcs=3SeMV7^t}DO@VCVkQby2nGBCgHYzY+Ky;9PM;>x5 zr51XqBcP9_K$INi=6Dt%UFR;+fe?vec!KZ9rL9MalBEg8AKfmRu{X$>tUb5WLgT4L z9n>-`bhcx<;SdxKQ$keZqU-5>`Y{lKg;Ig&0Y4}XtsFZuYsLYIM-On?9OdzxZFCQG zq$Xl_(w{sc(*F+I@gCTW*u)M^MMVN}EWU;D9+|F(-b;`pJp6q!s#a-f+8w1W$;#1$ z1O>G4r;7X@pOY2p*pL@$0=k!(9LZ^q1A|#x?T%h4268y?Q7Uof`8Xi1X%Ot2TwqkO zuhSecv4DB3*%J~A;%N*-%=i`lG4~Pk1^P$xAxAn@>H+^CZp{bUg*cuI7sZ~6DH*|F zvpF*qk^!L$>}0PkPz^20BI4HxnZox6iD(mT!#)29m##*NvDZcD5GR+x7TFyL>M_^iCg z+XRvCV5iLn#tC!Mf*-;>K$BHHz#rpYTS!W7CqRlc-H>BEC|T7a^E! zf@8DUHT}Zc8(s9B{!3{$I}^wjdl^MNF#$p{?oxW;{o4KfotyPk`Zq%(xa#k_Oq=Ij z%~fmbCj!3`C6V`|M7ejq3x2}h2x+05K0Ga*RB;FVUokkG&Xmywf(#?YZlP;<#3XO2 zGt6$a1b)cgu7ydQ044OuYwv;Lx5rZqAsBHXU$9mKsK8Z!HR26COJIx)9%Hs}sltQg z0uqoG6UFLc=jE3H$?WOG!~qY{6&#p z{)-kXx2Ag^Zma;3RtnZwkiSlg4{T($s|XEuuxXyfrj*_TyZg>ivi*9Fw*6t;{Xm)j zC8XHye_sboWI{_BL0*BiU({)Y?eqG{#U&skgGvt}`bSFC`w|wfJe!uKkix__M+OhOf|!70K145;oLCRzziEA*&U}_>HmPvnjAe;KQChsQJ z62OLdoB!S{0c-X~)39DF$v(kHUj}Zz-e>p10@C$$wF}ST)=#%@6LD8DYT;Lahlz|) zn=Ew)*xMY5o{N292&T+G)Se7POP!LWT=Rcu8)f)$+v*}Fnr|m_LbMyK2>&3pt>!a zM!YJ8F`j#^;JS34pXI}SXLF9DJTbzDu63Cg%bbk$6ALVphTxJ+I735AGTZ^g_K;t4 zU(o?gLM>?s)4qVB3BuLvmzhGcyI-LZ*_*>uB)lWxY%U;?ybzXLU`?*-8wr?K6wpn? zi_7D;SJmlXZtI%Fhk#7)NVzA;V%Q}yj%t$A=4aOPHKq5ZUovs+KG%ZRuE^8vxU1n5 z0k(vosxy^lB%3e$-7E(SZE>`q9(bwq`8%kq`fu3I`Rup!*%!YTm zon8EAmxg~8O29_t;(0XbTcx?0Int$#k$IBRFup z{=A4QKMU>SMZq;ES<~XwOP>$Bqe6*i9rTki@Gkm3kdqC=6MXZ}7%p_(g%QR~{|80N z${2*EGuc9bp4BK3;z?(IgUE;AI3IWWCpMg^Wgq{D8z69Jw5>KDtf@N)5(?QPHV00# zaD|1tT90!N2S-iuGh#tg?QA|!F(2qO1LW3B`7Zz{c{lvxNn{Xq=(a9Rm%n=rH=ULG zY+Mn|%+~an9@Zz*h%U3Bul@8=$;AG)HZW9%Wj9^+pvft?m8rTO+fI$!0HBrf0$zb*Z;AZoy~Fg=t3M8)G) z$Q#j!KHAu4=J%(5aTM#)!7lSq5Q^^OV9}~8Fc4Rg=>)hW1zW|mCW+FIJ?Io>De07Z zL<@Wwrae@qLyrYNQhOt2E_LwY#p2>+bhcVQGkJ$q&9d|wz#gj(v-|36#IMXK9^0;n z9Cr=AlKL?fhYB$43g|>7FUPyh<`&!yV_7r~Q+VK0Qf8jyVX(6z*c7Xn)ZeD)^Etc; zKLf_B9p%n5=we+2xfHA6m=y>L#MA@izE8JGV1idE^lKT)j`bYIw_@+GCQEK(IAS%` zIqWAV!;-M#7K>)T)oB+V58}_=>5ZG@DwfGT)3sc=YSFQb>HJYFDKDkrEp5Gxi4UAf z#-0#v5*nIx-R^Knfx@5iciJbni~OD2FLnzNZWkj{HQ?_2v@dT&&MxCNXw>85>uUA? z=?4E15T074f#Myl+X&`cftLnS$Ke`6WTvYU_!n`>xAx?5LJUS#W_YBjCgncaSwsb5 zUnl7wfOSLqXYfie#g@`Sx0bSeEV?{VS0luTBaRoe zX7)Mm^+uapTNi{@%d-uiFZ7agwN~6SQ~~^`+ChRf+<)*ysrW0-#imw>!$URC>=;Nf z0jL;?JjGJ%vsF1J5ux=)e=Obkw@my>(xx?ugEmR8TY!|7${cILJ8KP{g^1%N=Y2@{ zOV8{9y=PXHMC2zdTZLOmuLUZgAx9nRQ`5WD1Wr(V)9JSwsYl;7sC<3Hu=#-XI@#kr=0!u-FAtN{4}su zUfX5~qhZ!CoVrRTZ{=h(y4$ZELULpz8NPN5|NYjez&5TiydAWxsT zIA0%|anSJID|*i-qvP z0UxauMa3?PoC6$_bQ9{N$}_Ux!|_iAofsm{1~EGjxerx<6x)cFHL+OfkjxGM?I)Di zNs6cExmnun?1=e@YSsyIVeEnKu3>?;3;PUS9vf^>ebfYOuY=$P92*m=8pwLOR?HbV zEaXdyR?*oi{v9wLVDoJiaR>B+I^G=WzeqWB3S;`ZYp&`ayVmlQgXd+XjkN@+Lg&% zv%mnTl||01iTDmt0G0E|G6VcR!88EZd&u{gK{t~$Q&8U1zJ2&5@hZ{%?YoJqJ}pW? zWqgk2$vF$zJ4$UhH2g*D`jbdZK^yDzPqo^RG7nvU_|_Ij;HCH~>q3SN8jtIjO|mk} z;sgY|_j%aNA~>Gu5M8?!X>HAwpP*uo7dEScejh7-xJ5d+1EsIw-~Q6G{)iLQ#8t{H zKsvGn`lY)p>6su4mbPh%jicm;|A<52PQdZ_Iqu8wu1D+BeV`AU!y&E~imE{PMu6X1 ze+S_{km>l<7ZCzD!X=wzDbUI_cCaL524Tp!X-kIsb8 z%$m3cVeE?w^sxbo@-RG(y?O5|J3(fi^mt%S7qxxnGtMjBXp?~h{R_`fWG`uS%vCC~yQ9m`=0#bN%rHw@y+sDq44 zqBq^W3z0&C4gV>gW!w{sE7S8zAzJ=P@v|D1Z_4dk;F%OIt!9XzkJRD&_v_0~joxct zrTmp#zjX4M(?IK#7%RULwgjEXwt@e5#Yu}NbixFqPQuI2*)V%J?q=3mA zQ`^|Jf_7opX}o7$qX|D%tX*N61_hC>PVup{AceYxN=CBozFSV0xAB)T@s=5dv*w@L zVP)yStPx+90ieX+6S1*ajF6V@!8W}GN6G%i&fdX#4|i4*Wbu5j)XFVTS81bCvwqN8ON>(#0F zaTP=1MH;z4o@Xrsu;hPId|nuxSVeY$brXbtBxxu4VVl3<9F#1z{KWXKGE=@2<~h~> zXkI(YNKvP3218L7;mi}%d3_mdpfHjDnb$KyaAv2;%68L~M$*`|ZTZwrIu>@{7%mPq~$i5ziS{s z-qyAj^htY?Y<$+jdY`+U9YmSY^th-Vd6nd?^el=Tk~hK_RB4^8msHIzI+BRTu6XBg z8n8G~*cRp!hEVQDHz{m<_i0J`s`Mc>|1nuPlmHF=;i%dBO|R$9&c=klBQ4u|dTbB_jFEXo6c~O7hyB``pCQ%wL z`vUjjdlk`Vt(2V7Xaecko*iS#oe=iV;qDI&{xfVjMi4XM5Ns@T)-(+9CW zs;&Qqv$k!ZC(A6uN{p>DH%_P85^K9w7>THt(1SnTwBm+#?g|!Sbgqxf_XsiH8h7;8 zFN`Fd?8ETH{!VVYmL@s|IVoXVeYOrzQE2Bo&f?w%8>y%b2_zB?upi9c4jq2*rtmt`;4=B7122Z#H&@E`UMQ26UP?P8 zpc4Zv_Dus+hB6GfsNj*n?{R%xj*ip`SL_jiW0@XMi>}{+vL<&-C)vApZ5@W>>VEm> zIsp2yp7G8xl)b5MNKhMKDb^2(_g(w=fdFSwd%T7xp&$B1qP{s!aS0JL%Uw@mU=^vxHXZi*lCO zmm@$!madT)jTQFz~98O7t%m7T^#SZ4odEi{Pcfsoka=yegEDE#eQ&}#V`~x zV;i}83q>ueO`P;IglVwNl774*3+|vivY@vDp3qq4+YFiow1XvhB6Qt`kxr1NQ)o^i z(Z88tQD3cIZG}y`x0igqP}6IRub3M3{>VT^EBXzM>RF5mKQDavabS7wQNsT004_}D zHKPGzlg37v z+awFABGbmijGjJa#Jveqixy@hHF{%xylXV%D7uZ`D2l~>?Bk9zzvv5|Hkx6DT=>4Y zgKXAKTqNJvH-TJv3+;_2K7(kPILFQ5@h5O&c}N6I*@~lv21$!M)v&Ae1|{9-8|Gko zIzM1#EV;JT*8T_$8m*JW!}OeHO^%X8GiEng(Nha7*9Tdjr z_8MqU`D~i-;iCvZJZAKkBGs?8k|+-*T?jYPwjd?;2eN^s^OMp$ei2b-dy#ykVhCJ8 z8C9(G175|W3>AGc8R5L9+_zFi{muV!?)^UtUqCn=Ks6mmg_IvS{(*U^o{=BsIXcFX zljG29vDHsmRZ`-v zpgnfFVQeXW;c#p-oQXlC^qBFcROC*!xsObnSFE9ZdP{r>ir6?xO19B=dZ>y60y-6hpy@6u?tFDo~dT#;})WpcXI-VHr&A{c^ zdl&;|1Nez0MRj`6+FT%3jo>I1@^cDRS~C#-46%+eNBv*3(l2onnvmdkCcqxvL7V}k z5#~qA9#{4cEkB|f=p$R&t2Bn1cp&8wdlJRfTsU~1U3ha8r9$W|X~az}s9g5i<1M9; zD=6pB+}$c=pM>b`8I%9jAK_d6{Pg?g$-|cbd}bj)+I8jvBRWlyH?dJ_CU|J%>d9vX z9}WUT12)K2sZ#=vZBxwR$%_Dl)OlQ!ohk{vL)gzHsJ2_hBUjcRI!!w1qWPp>$36QP>IW z7}CGaRse*3#78N88x?N9iun|Yz6cyr)x&Bn=J19wct4fq2 zn@z|e?Gxw44g*>SA48up%nm#xptL-{gf$(6KGJcCdECMGPflfCzEN^pQ*Z~#ILUV$N z$NwCJb?F`eRj~*GCxqs*8({2`*!aM|Gu)w&WUKMT{*Nq1`ANWEs+0Z5cF|$3>iYJj zqU!daQL~-sB!3MMOMltOEmfITM&RH9Ttzth=JfSwY0lU+ZH(oAAj)moctoh;S?ae~cX z_G%AUNh8nV9M>=T(3%^A14>D3BS%`_HK36=J$ZQ~&Ys|UEhww=gix0HD516o#|F}J z9}m|8mSA$#h8Qm3)>qIiNX?e?N|Y^myoB>|b-?P9fhn$@f~;+~bcjqM z2ir~2fjrB;+NY=Y&s2bPa4lJ(usNS1Q3$#o5-iz8=}bstwJbVr2X}x(I_xD%rt?#| zBW~4RG$D6LI|=(`2Rn)}afhlHRRW-cg#Qvxw}Ch{;Xo`z!^~0w_f@-B<;5PG;NZ9X zL23vQqE}#jCzc4535$6W6W{@Wb`I15)j}_`LN{p>wEcw29Oo4#;hoJl?fdQ!;HW$A zbrMQ1Y257U`Q4nvv3ScHTjr>YAaT;R<$hAM=mO6}BxSP#@zBnb2^@!dMT65RiG}}9 zK)_`3Uop*Iw$X$~^L)k9tpYq-4qK(PcW>8?+Hd$j_)aMLjh?kSYA0B6#@PtlW}_;DC_V;tMGVcx0Cbn_=|-}?Jt8i@5v$rYfZ z=th#~KK9TrIMP$@<_OZk%DovV_xX5VTpTuK#xvE)HIhWxb}l;G1k(3SZAlkoz01LZc|Vda%Fqxs*nco<;`(6^EqOcz#*>XQ4vIye*P z^+xu;%TT%nUwlfs?m@<)bj<}dS2N;?dQw3sR*wTi_qq^is9yEWoYFaPQ>|H!H8FdfH%99z0R5!YfnsxEH7Ew7NzY)uEm-cfsOVXx9ZE& zWT+f>lc{P(U&!A?@l zu+J(1C~s~!AAAtusVU?U@%OL3Dwds;hI*eyZvl_vTyJR4Lo9CU&mR8_1}#eMBLr?x zlE-vAw&JANE(uIVaVowOS?V2L;Ib4-#(84{M&=Lcz8}|8 zhT8A?9-C?f5%+!`elx5)A@H4uU@bzk%(=?sf3^!^2$V~;IQk|$koPgR;{h1NY`Puu ztjnC4X=+dIJllD;7iDqwn|bs0Q+=tHk9X1VNo+WNzUDA;sGZ}npu9>}I6u@=loT55 zC8U8D!S#(;nebsJKqo1Vkg#+5?RkXr&47#{i@|;F%Sv@=rN@9aSx9NqdJOu9Tz%z8b^ew+gdxT_D;EondrY16&J*QbV}b z+@eoJ9Vh+Xmy-W%34Fj6i;PzQs=hg0Cic4_I2Zb7@aR|Ik(_}lBp04@5 zJY`=s%zNTVP)`~dfe0V=R^$kt?aWSVuCsyR{1APxn`0yKhxkf|2erk&l1P)5n);E(q2`u;t;khwn%iF-|BVd z$NftSIE1_&qo;zemJrBa?#|!5K)TJ^zdNA-mMPGkP=8_M%wpRpxBQSy!qc?)!~OLy zm*yuLF02|=-v?I^{-E&qFG6yp**g@ZM)pccM40NPlQErN${^*hoNJRrtt(tmO-3Q#`DrC>BrgjT;Ifjt+T?i zmQNC=&Y_QM$G8U$SMyXevPg{Er08ZI|k+ zZ&%}F<{Fr(mqf<`OkPu>q9|G2@B_e-7z~Zp1`zXxIOQ~J5+a`_JMO!~4|=nts_;sW z>!3%kQCs*IzjDXW)MegsbEszo$?LdGFjB6{_!c0_aZ{n}ink-TmECW0yhlru=_mG< z#)lzjSbuX5gEi3iZAEkW$<4-Idj}VvMYa8C9`V0SK`n1!F`j6iJ;Z_&2|+wJ3i=?OMM>T?rdJ`}eA0adbFy z$jsghfve$AD5D6nqJ5g7Ge=8je0Ul#xm9oXny9!D23qPD`*Imv5x|10j2F_e16;TX zad%fZhABU9NTtX52hu?Hu~Tmp-GdYkQjwr8Y2eizvB_ z8#bp2`0}pJvmvm47s-^VOsN@;-qnXSQ!GsrZmKekZ*z;ys9LF(1RJ*6e2JH4>*(>^ z8X|Tsb|YU@2h0gO@FW}^Kd~1Qu}U3tgvVOrJdMiDxA_Q#a<=9T6IiUpC}8DVy-79fr=&DC@YJvj%f{~;P%V7lIL755(U${G>Qc8oh|vl9A}o_oqN{1=z{ zFZf8W>@PW<)K#W)WPgF55t`yLmcZTl#P|- z=~$*lWP3`1kYD)yLDik+eF`tXR!pAR{VSQ4NRE9|O2xK<=!n=T#aL82zJRF#9u>8c z5)NcWSr;mv`+g6VcLX?ZqcbnAOO;h}JHH~P+Za$~QFbmi`IP`$;FxMr*I(p;MoFSZ zgU}Whb@c-~NcE~W8ImoIcsxbTFyXDzz!kyNHHlzWH^3ii zl9IwHLwU_{NdT$$vyv!DIep<`fMYTve9L4G1BJf`J@wf8kpDbK&z<-8M0f8s84Hh? zX9MZO^URnS>>{^HGq7%7`53R+L{dbOB#+Ar9hR-1`F=2m-U}-pRtFf|>cO3bg}h^kfGHS) zaqgDvji)SU{&Pe95GU)eoeF7!tqoTJ|W%7WVw7Zf@T zA>{l}%R}{8!-^rnRUqe&evP(ze_A5qrq$IUz>94t;=9wbHFuf4(uWWEvG2+ zJ|0dWAEE-F`7WLbOjS<(w;}6FG$+<7X&9H-68KZxb?K=L|u z-}h|o7W9kVtJ6QB_kE2D?~~L-;d^lh#?pHfJD0M^jDP78w8+D+afmX{Y0)?_PMwZP z&Cum$7HzTLfi`cmWS75wp{wnX#qTc3bN(qNUMn}a-Qb1ClK01p?QmFHx`vr)hoYil%?Je*FYypouI^^uQh%V8C*}s6qLFeU z(rp30U-2_gKlwU;YfEU>wih3HkbjWjJKF?C46_T#*DS%{^eEmtJy}GqM%dta0S8|o zs};#DoqgyHptT;@voULs#tUc90TGZC;Sfp{%??q`1q5@+3cY9^N$lm+M2XlrcNAob zV`RG^W92olm&?@VNLuBtP8Hi=B)yXaGq6Ji9NBx>2)D~=@&~9clZ^`cg81wSxNK2# z+$GSe5)gZ-ydV}qsUkLGyQ9zXsTl#0J=%`cXz%Yrh*`A=9opKkm?ZsF-cnNmxClTm z#)epJ3P3J~X4l`0u%O|kqLY|U@fD?s-LUB_BI|<~7aiDXsv=nahW0165O^2+0^0uE z(WIJGOHV0PdsaS%w1sv}5-DuH@nY-q z4UY_x+G@U-ek-`a{GFb2>X0eWm`tch@mD4Pev7}VLlUN`F{{BNPIQ(2Vj(C~eE;qU z>Z2i!&^%q3j>nWBxdr9n+wdH2k?dV0wQGpPp#OL4yvI5zd&#Y&?8&{iJHe?7XU(2~ z1TPHdpWgIg6~p2}2G28NL!80T7|iq?5ur(h=IE#8#;XYgxzaYgQ4PYZV0DtS1DWAY z{nz&Ww5E(UXULU0<>7xTq0V8Vv_4J|xjbL~!T$EIsP}%h!dlni8Z1oFC{EdkvyL4P zbQbaWux(vn9+=hXpR$M*{1yy%kUmqlUanPfJ;k#S?>ao4a>gF zaAR(K^ZpkcXgu;r&;K*r{P!@`Eq&tB60JgI%9s4;KbAsPWXAu59+`G*6Fr&Oj_0Yp z=b?c2rYoUg@wf)GhD%JW?-V2BXe?CFh&3x%S^Arc6dPYzWRebiX0Qr06NJV!pwLTSC;f$|5%oZr|$V7)bC#YOc+u2tox(_U^l~<=fA4)QJ0|M95pHn zhPi6;3l{$gDJpQJ$8WZIqP~33`jZ zYqU2btKJGb4l(jI65tTWp2*(0&~lC$M6F;#ara&JV1&#z9zHXvc6;{T^j^iw7pRF~ zEPE6MY`iNl8Y8AW|Q z1kkC~^>2q#?9;$@Qwl9(%N)TH7Pi#Z@=C5HJ z)^?HevX9~)GOW)-fNt=hHm6k)jx4m%EOhns4{k9{1Gz(|YFMPqewduRk&tfgYDrWQ zN(;w*fqOi*f(($|{kIexzqX96X)|H{gmmMT0x*uXQ)YEW`WHJR;!{7bbf_j4;3>(! zOE8CXF0vRvYW8+Vd)hwq$@ZKJg5d$o%r%@RcJ6(8;9I3tvp|zkuy!U05+;tm4=1@) z2d;~Clx4aQ)uj!LO=EZtDtrU4eEd$UU;0IeVr$$LdrzZprfaiQRSe5?#6|N=kkHL68Xv_rv|;1mS?&jO2DO;-7PEgw>KmeRkC* zIz)gXF3_ybR6FC({Q2|2-Us`CF?AM9bw$gzX5-FA0vp@71&8479w4~81$TFM4ek;k zxVyV+aCdjtmvif#y0@x-!CF_7B zw;&ra8BoTy>oi#>v*;HB-39r*bziaq+={1#iULq>Yz^d6A>AxGpKYsNpY5euOO=Tg z4%!owS(rm1A}1Xa7aL@)jGmj|j#3vPlZ0A(GFzZi7Y!$!6o`+eAY=|lQstbWR?6!} zx+L{X09>&U|f>ww~(m4U=2$v+Yh? z`hMQKE{LT}%A8~E<(^&*Vy{xWc(*W_JS5=GWKE`CZ$SK#OIgKLBrQ&_fIe=cz&g@; zANn<%D+F>{S8&<(tUV7M(OGTUg<~f{a;&{vTCwb46*^XaG{N~~9YTfvIs5shkryVF z{1zW6K@{`RKejY)ZnTDAr*1rFXumuDESg3(CZ;0|($Q}u$%>YUHCEzelVPYz`Q>h? z1(UB`f&?8Z5PFkpU7-z!z6dA_a7IXAC=ViqVx_efUiEV*3_}%hKbLF*qo?rkJ(d)G zRP9H=r{Hf1KkJdviiaZPzys>P?MDO_Z) zPw=6z-Y&r(@sh8847sfJRG5lXNern?F=&?)J=DMS%m1j)yH~1p_AQ&u&HdV4zSZ#) zt)Pu2GY7iuBFEJH;LV64DfwbxgP4W*n4_KDi}e_0azr&4Ivo(l&tk!Bt`XpDk)T)? z14Z}6n-T{=2yl~;ppMy!`BkIprX6k8|$RJVe3lfxR+s9A>lQI!guxV@#tn@q~%J1aU7$A3W5) zU=-V2S;n+e_}Hp6&@PX$=nW^48(q6(*iSxecGI+I)ZVo>kMsEhcAbD8Rzb(_t@}5i6XZSmq^;isP@iHNLJXRj+ zdy?4r&9Do>eV%P1C(ILuxsHmr2K;$*z%k!d4?K8@c=F_uYbGxGnHIm!@EcH!c0|r#PGfGNo%RON1lsVb+bl0kE*g9+ z&g~X{nWY=~yo=eRZkX`$@aaU+yKu`kOg_BaLz+2FM3t&yvcjMhPEYe65 zJlMzZOHb!-bz5r=+iHr1k@dv0*(vje^RE=_v$F8{eT1od<7)SKc)QulG9lOFzO~27 zaV=uWE`VNW;H*|a{Y5x?;`DM1LeJ*whF<1|3q{cny4y*PQD7vue-91BETP|! ze2Q8xMK%TT^~1gc$R`2GR2Ium$Lg*-dy)+>p1|D8;@Pu`keMXjUv?APIk4HMC9;NG@wz#z-z$+@K5U z>lJUF1BH;hS4J*r!dxYE*q4qcL+ZO6o7NuG|Go_Q^&lcT`nv6eq@SoikC_CD0U%~X zB_bFdLBnpXs`oThV}Fr7cJRJ>vNwm2Gy&D|`3di0RaQSU%uOOi<<6pO>e|dMBgbfL zwyp_K=$*b4De#p9lhM&fGK3SpjHd>Evx=e}^+DNY|E=F4SDu^<*n)U$gcF5ych!H+mpW?b2u{+gk(D6S&HNhWa~{TiQu7!pi{!FlBYWT9GkC zNAUXMhL|8vbAFpE8s|*1KIyKY`_0>2NuRfKK;2VCideDR7iLS5_WP@reoF|FkdR`c zG|EC=T_-w!L8ZpvyS@=C9aPj}-YW)!y@^LX>|aBBq~9f@nKX93L@1+5YcF8oswn`V z3?DzL&uYnFW1<*gDr}3}J9DD3Z!(uqvw6V^qs>W!qX1nawQKinS1Ehlpk0lL_7AK1 z;!#~a;jQaZ(`qi{DkQ!r4|2KcZyF=(0GaW%UzhoG-7dZv*Rx(Ao2vUhG#)>itgqNX z=6DMW!j9go<$WdCpn@;v3N~3m^mHX{XM&zl%sszYh9wYGYNU?6A*Q?seInUlWYkXB zoz*l~;1ho}^+^H7*!-AwO%2CVm=bIXU|{WaxTAg0mIYzqURTVca=KwY>FWyN_)W(89qe3pX?IzZ)igz^*Z;ydsPP7Za@mf07r+6+_t%N2Y# z{OfWF1x;iD24G#9-iy(kbv1S+Id}$ahD;{^%(douV2~Q_zBHl}TBF|)^n3ZkS$j{v zLG=Y*ZWTLutltv4nl37RoS6=Zra{>KF9I>`6!kx)E!(Ib3@XXRgqc=g9B1UJIfziGla84jnp>v~W`y)c zlrVE@P*HgsrcH+dH#T7)vbG+yKyFQr2SZQ#m}BQAS<{YH8`= z3XQ#SCx_`ZfFoaZvmpiO!6(kVkIqTYH%Z!i+W(8?*!rRX0cP;L$Ac{X$3zNb0rQ?< zWm`tnp6vNO1$l+0@k}nB`>;X=-n2oe4I*N#jdeV$I(g%*2b1~^@6ebbb`_i|beN0M z_HnVmWBf$n4CWXoZX;nAHDn80J3Qp8+|p+4ddM4{#y_>3!A}5BC83{KPsE9i-o(T! z(X>rBl#$pC4(lQ36wEf9P@?fIJ7X%Szqwky<*)p9*uo}^+2UG5b zA5HGFn?A)|bB+h{bMA+;mS$Z>Tvsy_`5c8EWT|*`LU+B-FBir4PxX-UDJAE zf?h|wp^Yn0)-2y1uPr(67qsZ?P&Yv@{70dmDo+aQimth&`6rF;X-kKa5gqxe zqQ~|po({(Mn3i25y2QG8#k-Taq_-X0A6a_=R2JfUDEl&LouxO&b39#d@m`htlbN_; zmc8?JDBP=6Z1fPli_#l8IlZyKCB%>Q4$sFmX;)zP=U=^dm8ZQ#`Cg*;86tF6n-I~= z3{U%;jPHPo*!ukITa$#}pFY_soqf$OTIGHlkRZ%A&u)oxunzvu_dUF`NKGUrqb&Ce z>uw>Vk#`JLF~(Xj@2jkT)9v=SnPcn7wCgia2FW{lv*7zB1i#M825Qr?GImX)&R6ix z4p4|X;1llxl4As?0y2$bL5G%MoxQRecP9T&fU_3virn(_eM6;afo%98bMBDY^cFnA zKKqd7#_^;x%+S%g%={@oQ~zJc>mxVxYe>k?u$t&^YTY#X>W_b!X`RsDzX&sOfPX;}AK4I^PJpu+Eq;oD%-3yR_E zFX4tE%74AdEpd8kjjTIWbDDFqOr^pp4^YE;`b%i(82u3=&OyLNf5<-SCxAO=W%`L> zSA}@i%#zLWOpv3q>g(~!VrpV5;X77J{a{7CEs=pqYjjcSC{&|{f)7z}fQu2^8!Pfe z29pV7z{Cp+{-lo++KO2pzqn&n5P7?dJKM|b#4FUxF*bIs^UKgpCB%x%Ze1zNkz0Ec z4m)5&x(yD3zgTeOFBLPqvhdT6jug$Hl2t(rg`ftMV41L8-V=Ybr)d!-q+)7UGQ!)Dw@(*wB$nV6AG`#1OTrH8)OlK5>;dD(IUNb)9jFEO z03(Q}c}mUx!T_U;hN|)2#^}|_{XtE)D6Rd2L6sydSicU~j3E`7Po+`(1hhzH?WQY; zs{-17?Fum@VS36Tt{nzc{+?eah^iK^)4|RZG8u>|WO4hMz)Bwf1x-3UB}0hnuy`g* zW^exi_QBq1Bspymna-b+9p!1}zNb`(CxkPTJULiO(tyBvCJ9f{DnT%A9`mzWZ#JT%=Wv;J1y%-KsORY?CsiVDcOW->Ml|92Le zys(BwK7_J;t|3**Av}pb^=AmVnmc2!W6f`asC&Ywm`%KXEq?k4qGfY%@OvKd{MVVP z!M|lohg!ptR6z$)V9#mvGV*IKBu$yRnC}__a*6Q64pWlzs4q)6*AdQna=<8q%V`gf zGv~=RL{hg$$OZC*`O z)&60w$FCTJDK$P6$r!kD?TrkxQ%o>En!NL;ZWpK2w`R?!*eY88ZDLQql^`^vFFGE3 z?~a&c!=*TXH3d9o5)>4MCOoQdpmfqh#S$nG$JD&)_Jr6V>izPUzy@aKui*;`8^hze ztsG%sWvj{zW?lnwsFVV89C*?-fj)C>Cn}A$_!qgv`Gjd3kq0Wc(askWr^q4AdFDsv|jcuNVX;kL1Jo7s`mgqzuNlfD}IOdAB3^0C?P4+v6eQbfF^ zGB-~_hkG+LL?`RIH%&BO3s=h3;`ToCeK<^_?L(3vgM3(d^|U<1{`y+qYhk@%<_h8% zykCA?T=E0p9HW}`-v8>MY(7uA0$q&z1m5Qag1cVZx{!V*`8;j^3li~tZR*Q;8_5Ym zq2v0`K3Gi(AOtod{XoKJuXus}Qg0lY9C18426bvxSqX`Z=y8OtY^P9t=uEMD+Q5|7 z*25|wHhpQjgTkJ134sVMjfYlGC1ckW61eHZV|a?<3N0eW7y@r8U^4xQ)@oqMg@`%g zWC%h-f8pu6nSV{1I3l?q=B}3*E5!F>&@?=j=WB>4x4K5$54L-OFfcX*VPur;3%|2? zVn5WI&9y5;{HtUcd7wnN(vxe2q4naDW@wqTXg=x2eQg1<@V{r^;_wh90QeLRt_GRRQ zA1W@m!o@$*vYNK}meNNdSgo?=c{1zx!x(DdvlpRTvJ`y5cnF~-ZD3nW$i6;o;Ld5# ze#EeN1G68qq+G_fWJpI}K*K54s>L88s=KchMN-sKYy)wOGzWTltd2RavyYuMlMet{ zb*3QZojQ=@+ZvjY8>fZ?qCL-PSlUR- znB?oTZ`?+IYwjjlX0URG{4#HwQ@D!CsBQk4sUO_Ey6SruoV(dsvKSYjcW?tH(mRWPJ6` z^=HO5>aVJUgKfY~Sw;N;@hF|QGKn(1w5YifiUJ$?hg>BzS|eBt(+MpDLcfcOcL{?)Uhe~C zl+E^6kL{FntLPQ zR zEdFc=BklhJ;#iP>VMHo%`k{_e+~Ik*jt(I}Oj0dmMK|7D|Vj9(N?*0b|U{a8g1*qpY z+~lFqG2%{>?q1;_nGiW0 z{_4Ki(>VWgYJFIofbSw7)lt8Y3rR`K#k}92u^Nx*PZG$lCG16hc{n@sajaedcpPXr z4wX9|EXtJ=8zfi=pY@>l3DTXwnHxJ=qKL)tYRg97TAav*LqX-MGF((&)L_qjv@^5U zlq|y7P)@0b^Q+{-j$UhwY>xeU z*!~?i=8AJK1nq-L^QZ;quN-E()!LD}wNKyS@5CuAFootvUJ&nqG>R!|+O!ob;%4$p zU3^4UK;pu{lHZjEv&~jydUxGg1jDRav7ZB!z$K$xff^H_Pvk{1*i>Y1IK@)OjVR46 z)Dh>%cAt_cr%@PFUjFMC?G)}7i&Gd!7J=?}PRy@I%H^!u)eeuMh>zGNMG{NPP)Ja|B9V7{O-LxUK6`SxEj(0P-7EfcWX; zougnSnmx^*{j7A!vhfUvC&O72bAT%>Zv6llg1qr*(*B)=sDJE?BOG_=pjxUeX34L< zMbE$?n*FT$8S5M75xTP797~RLP{f_l8W~LH&p7I7FGbDXjvY@9h}+IsWK|NXG}<_) zTkc*7J##%$XSRN>i7nL{f(zU1kb4J)7iV9H>L!PP0X5u|G;G9FT)pJF+H(#L-8OR@ zgh6;zX$~P(f0nsVCwrd5O}PKnfKHnX*pp2jpHA9?J+)J`W2JGs4NPf=R;g@^BN7siRuh?%|}h7DrBH&i--wHRi{}DCdvB8BHX;A zviKOPOqz;0d3UMGpKmNu#kAA%FS_}@**N%$Y9wDVt*mSSlzZU@VQd<)OLp{-9cuV_ zU%Lk#U-v8{*~b%-aN04wzFnANvvuR;F5sz_>xa*u$>!-dXufU#o?5daQPzOG+dBE&bFFxk zMGy*pL{{f<`h^M7gVo1mD#Wdupcjc4$#>b{bXI}tOYeD^ay~}P-9ntIY;n0B$3O&X z#N=Vw=r8s$2pWgJuC!m8B#+jYAu^vy;L;t|T@yI*lv^g73gyCEtCyouDH$>;qYCG= zuS`UTKXdG15+3b7V7dt`{N*h0_LK1!0+<4{4&#S{DZOKVZG(`+D;&LJn9WUANXLh7 z>wcX!pLbyO{25kl=9H9RpV7dPpb-*q>GLdC&H3SLjk^f(`5o}CuMdJ6oF2o$i>lz( zEMWSnj(6Z-4w6@(Jo*fCsZ+(=Rba9cMIH{{%H{DD9C#XyAO1Mx2^}y{wML0yofciJ zWbV=4`(eq0Z6m}KFSh$Fby`VoG^|XE_ulB!*fiN6bIl2lQ2rmEk~*k=dxq-k@L`W^O1pk!w4cHp$3)v9BQFg;UdJPx>iJ>2p9 zyNK~PxJo}na?Iz`MzI|*Ci!hVE9>xV@jGlG5pm8&O^T6qKJPE zHrhRR_AB?O7oW0TQtSWW?W+|CMhS%Ng99eaRXBV4WTG~QD3!7qu9*4t{XWw(dG~SW zibu@aHvjgXA&qntyy3QM!os)!y5X5TBBk@FgBkGj25*CZ-#I*@9C@E90ND~2VHqQShS4F-QJGbGowHug~vDWY@ZN=5GbL0$vD z?M?bZK9pf+v#=h2P|ai3pXE8}DQk8qb?K|iTU9ejLX%QaL!ieLEZ_ z8vVOE?#MK7xcT(Y9q*XF=cy#qyN7IqcGFRrB)OrdcKmP2bU-r=x%V{I^)^Oz|MtH5 z`EJ(TbJxrGKFb&^@Ubg^+Vz~#g)9G`os;uZ*5)(ehJE|if9@xXg8p|fl?s|;oYDz6A&_|lZ@2tezZIZ;U=u4M12Gi2gKoLQaT!;SEys5$JXiI<> zQV1J+7|$AyVZrs7Is)F5EKY`vV5B6QKV~+$jsRjR0`kh_A;n&8&(s)sPyYj7HPWAg zE5%5J;MfW+2$suESp=!e_}N(#jI7RjMG)s;l?G&X31@$RLZ^U#Fj57F2H&yMfi^_+s5d$PD6bspgqm=_K(@ zbr!vso9vTKO~rm*Yl#(k=nEyGdVTpCNQGrqH*5VC%SVIqOnpA+dxZHNk2IQwt`Jqw z1f8-N^HlMy9h9gt2*7weVhIxd@q<4P^tb@S{Aymu z+&SQp$qI?UC_C;?V-r$*=V)_i2o2|G+aVU%=~iIkpp zT}aK%T6^~FAgP~zj=O`qQ5Kgv8rwP44kWPkjZoS>hk<2;ykCIDl*ZhYv-ofjtCHN#Q=y(#y=3TMTE+ zw@Ft(($@v-;P#cdmVGxjsA@f0ox>(;qB={LC^^6~pNmz?MM)SjS+UHt#XgkzUsT#9 zUMLe*XJk$^pvbysQv3v4Z;=UPsgbwa$}^}b1+7M07pdc7s5!%m1sjktrlu}{_RJe$ zM1_w-z9BW}Cd%`pV|Mt*tBG(RuA#CzrG>SkAPEMiMBsWmKb;5bbTAV+2 zg>tEz?1QccFOTy9t$=0>an^#fks)ZMYXcJ?@FMvV;})Ws`9T*`Q{LZT-TPBBb)U-h z*g;iB+*7(@vXFeT*=<1YEjVQ08t)XxB>#YA+$fwzC+`tx#{_`TxUB)tXPM(7&0-N? z1@R56AC;;G7yeRNYq?N^YG&GP8GMlwXv{-7^}^=(-3PXWzGimrN~dQ+yS_c;k#%^z z@aT1$f%Zk3oe3V{*tfL6=@ClbTZ`OD`r4<^&dpPM(|^}ny&>vfl`S1moKH6#r*3$P|6ICmzIqoUpvhj@dfi4%=bx4Rcm{@zh9DMf zFpbjX#Q%^H6@>mz>B9mdT*Cq|wCWau@z}zIq}K4|ZiH+<1CSbnZlQy8&V`k`P3>_K zFE}fI+2`p%y#}F$&yH1xD2A^!a8@1K2}x85(NXo`V5{cLKzK(bK%7f=x?TFA9ej3P zmfX_qIS6|lr9Kj}H?p_w2m3%x{aESivpd8q;{rUK5E;C(S{>O0t$AV0*e!H_4@jXN z^ua(YdC?7WW^-d=v!4&KOj(t*`XVY!huKR(Uu}y4D}}KwgVB6dwaxuV?cbQ0GCR;S z9_c%!ss-XoW>&kgyuZD1^jQCRQ0MEd*y)+iTaX|r-xWGrkjRwN2;EORl9N=7b1@B& z(Y-2FNLiBag1!3^%$)xHV{b84Ky5~12D!?3>c@9(qq({=vtMlMd&eR^b@t;;D8*=# zzL5_U_=7CZezcqG{AYvoiPJyA#6lNLzYq`uDrqIF1b^S3F0S5YKelHU<#^qUJggn^ zFZx_Z>glhqHG5xrZq~^#w2+(m5CZ*);hPmw+Pl97ilU#&(s{hWg#{t23_CA+koX{P zQF7-9?x0xef)q+LQ5f?XwAB@ka#NjHc#+>5HmR4c2JB$krDAftsDOKzFo&z&9%NT& zqgOtcv4|;WI~4F8bfD34R1Rq*DW%2MQUT?&#qj1OZ%AQSZ+S|5!)AnNyRfT|qd*WA z(e8x1$GpKij~frO@mI$B=IEY2iliy(+Y4_G{xl)n@Y{=nZkYvGiAzBovgx zA;9>p=Ro`xLipR~`GyI2j*R1H3HzAS`68+a)~F2pU)ALZL@P{D8!F36EG+d#Y^OmFuKz`ww&N&HBh0{E;5Z<`s`rYqdbir4WRkdE>JH(5q zyx{wpRcoZ6r}R0J{IzFLZ<8P|kK1(e1KQFos+&e5Ne~_54@D}*)}tCpG&aPyYkqjz z>QA7~thYe(huWlQAi69BDiKjXglPQWu%Xo2fFp!p(4uMvV}bq&^(Ny`*^ta z6cX}v*$HDPF{8juGa%bx9mvqO^*roS>rE&#Sq~M+V{QDTh;ObAYkx{y z>FP0!6QtySg|LhnKn2D~^=l%@2@q|w_&(oC>->hAZ$&kq_gnL=d7;O%8daKgQ8UUY zdN>>}XsI7B$*meIF9EIw42vw@6aoXr6UsPl8R~+Q-TU@FcIaY|Sp!SF-~+PchH!Da zs4tzWCbdEGJ*=6S6ak*!B~YO*{NNIi z;^hzTv?mk_3A5-<%)^xHIFe_DR$Jo*Sa%hn9Q`9*yEK*uO2RXvub!*N*+L@S-N&9u zaKQ&7Z%?~_F8nIDxY9_7x9j}C)`4)TNsj{U4Jb~pK)Hm!LW#l1`o`4JsuKiVE?9=oQ+ zJ8G92-vks}kkYt&YX?DTU*2~wQCDFP$C5}=zxrjVe#M7WTvjlc#}`jCVO97U1|R14 zpV}kY;)OThSS;6!w)E6i=xuZYhqy7-!8XPq5uI55)4F-!%r}eg!cbJ1*aM_^ARbgv ztPle$4i{L0AWD^Sp`VzZ=eAWm1TJuxuCoa*?ORSAqRv_EKQDFR!`d%7kVOp3UCRE( zY=jO`+QU(H;#l6CH;gPH!W+tDdb4Opn&4C$4~SaBfopjKLQSvzC>E#)#F`aBj@1kR)9V!yCZQ+YrHXo5%WHB|NJX!9hbMj3PHC*&t52upIjv*sjEw{P zF0naJoYn!1js!mZ)LnkoneqOA`K7F^PZNmE7WEny1uR^c8@_&Qe}R|kai8DQ`h>7c zYrlqf^F6L5{$yArG;S{OI$m>}YS0rTHqK{$K2huPm~_-OeJ6ud5%%Lqpuu?Pwmg*z zI<<_FTl(s1>Fok{yx)w96HaR{!lRYn+^3d`@aWdjRqzxjc8Tb*^yF*4hVmDZ_E1h~ z!>!15KvbYI4c(^Rod%jUXzWNVY(^xkL1EFqxMBs^YOs99-x8PJte}eo?u1XO_zC7Q z&?s}Jw{7Ty&vA7U@N(QrV?pilZAQ|iBR{XSQxjRwnMX;2$BAI8~T3tq?J zWO=zFGJHVaxa;+1BCXquH~ z(n8LdL1z4tOtk(pZig6;y+*tX{Zx3N+atkno`W-w&_O5A2V3Mz9-r%S4KPn^g^mp5@$UZYweNZS(uN8E`&(l@5~u$~{=4Ge zh~7l}X8uY|n6S=WXO)=qM5qOre7<B$->EZJ-F&$He&hYL3G8EW<+78Bsl?6#$X z`8nC6`Ihap9U9fnWqUl)h7rI=1lFgg&G_E`reh7aZMq)e^}Z{E&fp4}?TBzHTr%0X zXW%6lt3S&devg7Cq6`j-gN2k6wp~y`i{(BHUYw4$j-r?>J@!-3VD+PT zTF@F=8e#XlqC++~$u942KTvOFwFBDn8%{tCxkZj}5Qsis#br6T_L=7)g3Lj1=~)CMowu&Zn-w1Q zIV36>gTz1jEIn(ziEO;|=_RAwA;onGLafQ4RVxpdLV|BJ@wu~rl0sKUz{RlsC6*wo zG3h&eOIcFggW1ODE9KxO=7U5bb=mJ*r5eaL{UGpHi=(C&*m4cP)Ta1Vq|ii$V9xRL z_X7CIA{z2HlsyT&?`z`5`c$*m1|Scp7emrm$BdoaoE+bw-@q;7%S)1F`y58%Rw&1} zKKAEc;;~HIe6xaE0#ST#`|2+{#H%cpZnpgF#prGw7>ZIk*wk zri7#)VRxF`pqhNkeRx3qX_%HmNFK{+7O%W+`O*8pP^PUIRA*4x{&9Wh@P3|maK6A& zi$0cn7AV==bFy=l8vMkef#e@YN_=t6=?{#x@Z5hgo4pa;yy~a&RwA#WB`Z+HT2UN9wyjX8E=!5l5*$~s80dAp~bhcMVV1>8aCAT-{!r|NU zD;F5Ok*2_WW8dk!PYBO6R~?ZYQF z6L6HO$*vd=K{vaBgXEf@H&Eky!`XuuV6DoLF38=!M&54?@|`$xNL))a#ZPKB+t?0x zGKcpf4+w?OctPin8@bJB{Q)w6)#Ag#c^XYtHL$Upu|y>C!i#3zE<{C4U_LZS;V#DX zy+_Ma(s?S|46OCIGIK|0%&5sx1GH1;nr$n#tAB}YAn~QG;%C9+YhR)Q8xYYXR8JL2 zpWPBKd>G{eJJ4|cdTnz4P4+s^Jqip9fT8lablD!^uf!A-O2`gD24q~Mtu)pwykHJ# ziYUbnxGpZa`Ih}f1~)DdW9P=+Yd~h}B*GJ=b>rk=gRAA9Vx}EKFQbpYr<9CUNHKp4 z1Ag0zy!1dhiK5pDVT2MURI<`)+VD)M_XAf~X`9_&kaeif)&Ff2DL;sO109g-rT2U7 zj2)Q-MU^gxvM=brJ?D?6_qX@U_Gls&FhJAyrBn**(7UzXTj=PB=`_u*CRe3}_g)63 z?ji&DmcBGWxk(bc$JL=(%A&Ff0|S_=gL3MMDZOwOh?AH^{2z#VE~)x^IC;%6v)I^I zVy0(NuBh?v8D?oHZ#|{aGrP*}-U+7oXY{L#XtNS z5Oex}Q1B3sM{o5Q@UuxXI^b~u!6bf)AX#}ilrd{8aB?G_r8Ol`x)J+S4z)K9&o*#z z-^FdlK=(!>d4FqDllL#Wh(OD*=jpWO)3(cs{_5_M#I_q+&;zWUjpIF~K36}JKc+$} z?gcffP!(9$jSbTXUak$DMB@6J6W_bpGJ6Q0*wgpD;3~?WH{*&C4$OyQVLJM&oGokV zJC@e}&_D~Y)(s(lk%I%BDP}gmmmJ+;TUlz_L_aY^4}_N6x)FUBWn0>u*+U4#0;beg zhQg63yB7Ad@G3@Z-mQqw^Z5IGdla4*$)KzT8{>nkyEQAK)#qjq0+n<;fSy}l)J zHoIM~i+Kn$zir&G26J!5?QC*V)ov3U@*Vk_lFcS~`r%YFpIyAwi*Ru~GXYMoPwnpa z#qF?1kN+R%zL1H4T zY4J~Q@|>OR=5^4Smh=ARv!Olo?$xqkmOXTX!3TS0|Ue&JzCc=twhxkl?d$_ef zuQubH^$&`}hZ0({8Y3~@@_rOO9i|BQ^KapeQdA;IpfNTEb0|kjwO{)pF6_18Z|Gr7 zQ~$n3sM#f^Q{;tbQ5@E%?$;CU&nFg|ml)igEQrC$z_lQ}V885MKmFA_=M5S{Euf#g zhcUYjVY>91>#N3pE+MMeKff6ly(}4;#tCuQdx@bhN%YRDdP>vq*v?Vs7~r84^{%Jd z-XFY**M`X4Xc8j#*qm{U3!om5sN5f(uDa`$kr!QZr@Q;R@QZzI!NQqOoh%nk_XnAd zx*nwEOf=dKLX(g@$PZ*)aKEsG-1XIsi2~KbFhk1~l9b#wm&FL>1t$TX-D7!}Q;GA%$BbTuREqxL7dHhWTcvHXs({T`4qE zkHjAeo_Gtmd$y{;aLBu3Aot@x2)Uu#>H)NBX_OeI+%=Qw>R`mR4@3q02N%OHkh1LO*{qAyT>x$GuSQs={bE`=kp=9=M-*&PL zG@rc-h8Q|T;C zE^U`r|KhhuLISbpzkwfUxMXOAuxX5PimY(2w;i5ekK zpnR?El>xpU3c4Mms3MPHv`87cc;lQq%;4#xQ0-|TL~sN3RnSjMui%Cu<|$${RA;Lp z5Sg;Yp^e)Oi7YdAr&-C2R9FhKfwX8Xuei8%M8%0mbqa*g-h_}RmbY?6To2e^iGB8$8=IwdkC&G%~CcJ964S{ZBSS8xRvX2*v*`>MuSAUhp_(z5$b8`Gwn0vx*f`ep<6+q$Fo_zdJ? z7r{_{TRn7sZC-B)M-+<;58fZS|9Q^*pGVCAl5PsF?BFm1?ZHA9_(n1-aVorrN1oN% zFKAu2Ld%mOl%lEb=_sgtR#BoEK`81(n}LGzZB|&@;-QvmnxW?*6^qed3{j1OQvvWn zgkjq(5fqfFnx}jGOX+UF`Sq)w4!Cc=E56aOS+fp>lEa=-bG_*)wyjmV{AMq*znH!0 zv^I_l>Y7Xs%up|k4Ec^}-W`3%L>71(S3)veHCLyx-K2Z%Ar!5fQ4LTo>$c8Tj4?f! zD+H>I5ByDn=r1=y7eDV3<}8toR;!S#{oXGWL*rB8^_fM+gG(fC3MBr4VxOoe&BWW+3?PQI6>Va?if)H^ zkC%|CXguL-X&P{d&`k%xq?q5bY?hBU*y16ggS2f`bT z7QZ`CY&h9!t{C^h#WaP#LnR+A+p>{?PRV&cub}nm7XT$yIn}M=y4{BKGkK**qOCAJ z5GDSHIw+#-O_k7My{2v^73%)e`9Lo0IBJY+K>Sr~s_&ituAAb#XOba)<1vbqym9Q_ z+86s)Caj~LQfENR0}-F`s=^?5kl=oEq37s?j-dh9(Y>U+M#!)A7I#n{B|gv)8gdmP zs9hJ{)6-x@AH2vRwDU8!m|7QTV1&6PgQMhgo=jB^-ga)|IW6}@nH=!&g#sQ?!-Iq2 zi2Fi+kni0hkS*!O64fRTdT625#OSu%85*}>9SjmD+}>oL_BRF!9VRUj!wBJd-EEEk zYGyb<_mUWigS^AI+b17qoaBfo*S@TV8{%T$4aeqL@k%B<>OlHENr_LeVFM*WtP zd733lIb>aOksIA~C%A@R+a}U9S*Ih6#zXM!x-GmY1Jpk zW3UIV4vhYUlV1s96M@((JTnh6KoW}E7NLo#rEgER3ZbG{#J3u`Cd)F%bCOSsxu#i5 zzh8**nHSErvP|uhtLzPkHtP=d_=w0j&x5IjWvV&hdg_3@3LY~b0u29fD1g8>~ zf|fiTmJdgo#r)h92o9mMG&KZ21n-azNKVdiVUC(=WtN1EhvjQ3N9-ElgnTpA(vdXE zoNBzi)NEvb32tljm>b$GdW1*#?}#MM`R$M9|DHqGqJ9tfDNq_PJdcWNj5`Tf+N1}r z60xKXC}8seZv_4l>DRW3dr|z-)81N&SmCQasMu?$E6TIrj)>4EOAE5=??AAm{8o=K zd_ZE&cg_ie<1gxQ_laKmi3o$p=i+BW(pNTm^dBbAOMLfLRC+D3N}kOVx89gNzK8#; z9v^A1vx#bzO`*>Y`;TM8&THpY0~narkIM-kbJkdv7>)NiVXJCD=o)MTBSV^i!EPgr z9Lp^AVeXC}iRzR2u&^M{6GqqVhOnZWeTpuWkHg@0&-d=Gw;c9XB-)ekz$n>oX6b1I zp+lHv;EcLzUfcjWT6wnP(Af)x-V zN2g&?oKJ*uc7^%}?8j=COTqvAs|*p-G2^WDK7%1M4RR&5`S&ZSz?0$83EW zE65z93WYLm;hb5Z1s62vB0yODIWXy{NJ1z^*HDLAV6-3UX9V*j886&wzcYFZHd!!1 zNLiu!F#FX01UB5154>}jdT=w-!;Def5*1$))bVM6ig6ByLy zt5qM#WzOUa<)NA9-&bRn_*k4J)E-1SA!t zO9|<&O@~N_(%s!%(hVXl4Fb|7UDDm%0@BUibiHfiIiBD1#`BzizwwR1U=WMNyyv|0 zy6!n=?nh@dJ>ikEf_<8uy*pY#gDRD!;nl;OIi%HMJRgW@|C^y{Z6xFC_R^L*yiztD zjU5FGkfx`y;^;PNl@3Z1fpqdt>GQ(~v(l(Cfx>Zy2V~{gd%S)dPcAL&5s!two4w_a z$=bp9^xNv_s)VbJ(+0;>k@Ij+{1n*4n3UW-XzJpMOf@7c>nbvFPGOBK@m5;lvL>n& zcgCE|@)|e&>3UnAE$mZ$m zgykX$U7HX%AM?6i*bspc^X3!|_0C4{DR3|4hfZz<2-#Pc#u-@&7t-YW=)CET(q2} z?nz&1xi)j0AbxV9%P80Z|) zK05d#cBW;8!eGMS6WX^!A=$v(uTT+6FI60hF!Q0#TwGo6sdv@zflJcT4r)jHuRVFa z?u^MY2Urg5>vxitqpY!ZW~Qtek$7hilZZ-`G0bLspA6{`nfTSBeLa`F7=t9(i%8zA zR*!S*ITnmT)|Un;dp!8VYbaVkxt2x3`+afBte6pFhRLzlInR&Nw+f^C%*1p;WL+v% ziV%bN>jb8Qa!H;_p_s6z-pFS8Cv*GY%^;w*5*SAaXN>yWC6T2)3;hTZmL#4d>i+bl z9j`^;^;2UbQv3GCL-McM);QQs>Lq(5&Q@|iRxow35TEXm3ULv(6kxABOXE>R%FyTB zPG?`DLfcJHRuZx(AP`RVz(OZ+EhAW{5s+aVc;8tGy3jqQXKRqj)4=MjSy$zQM|&!X z*1tEf7D;$JAi}C`xm___HBQe-xC*SIaYj}7>BA=CW*iv{GL-qMhdiOMf z=i;0Frq%vv+7U?jyz=WtPZf%0F|0bygHg=6&J)rLUEI{&^3=gsRjb1#Ma^Y1u7OT- zKi{Ipj0hCYRbyyIA1Y>l4~LvHim0fIsSR!NYnr>Xg^PjK6_eOLPzax#=6mHX@V3~9bQ|`)# z=itLLqj;vRt~GPa1*E*o=vQ=)KQS1L!A zqVkA=Hx>=m&r)|8@K+_w%ds1#1iF2l2*99}Q^c$IOx%oD#D~Df@uiiBF9_-irJ zQ_dAZ{tb85?pLKZOD%2ti+wuNn^!id!Dl|R=pqKhp5-XvgdYd02&!l^vwsLNL>y*X zM35VH~ z`?_TDze@I8VQF6FF69>dOe7y_w=)U63_i`1n2v8+;%iEG`oQyEY4}Xgu2KR{hmI*! z+pF$u$^Ee)uFE?Z@+BJ#Px*iclZ23}S5{vcF7gfUW6`1Xy~E>zj&OHZG)AJd7g;!6 z?pURp3%`mY*IleeFoRnMdqw@!{H%W>IUygt74Y6Fq$&%;egSpmdQigU8p^2ux-ml; zTLi6yZb%_41F<%TXy>>wdGnR1PM8@!o$qER0B|DK7VFk2%Rkc-v??h&)Sd&i#3b*G z@C9sZYf-wRv}J{6kRhzpum}+)>T=`~hJ7JUmpwQ4rT!tC`StBV%fRLv|0#Y?3#gg7ZGW!ifhi!PhXKQ#N|Tm7<$KN(JG=NysOt3 zhkH9Q9KWIJE^K~95h!}u;(v})|6!;}*0}HX6UGK}vlmM**H01glDDUfN}1p8?1O$m ziRV!QSf7hLXXZ^pEZOoeD*GeT8moN7ZW6+E-kR(%FU_o4X~9hXV#}EH9uHcUfqgR}!z_-%`3aAV58J7m#X z@eM9>a2zIJ3e+}{wk3=*TO;pVV9K6}0v!e+%kj^dN-*E-$lZN@G1OKXb(9yy^+ic# zBe82bs{T-zuDmUxYNQRVKTe22Cx@2GhH*+KU68?k1vem|RkKMrs_dal zau?B{0VmdDl^i6!5D)VRBzjft1lf(mAjqc0Te&C$Ly7AU`Q2ZkCpO(>g;_gz*0>^q zP4kheRd9y8cA7CXUDeV?_)}e@n16b`Zi2pv{+$3kLGcfc3KzM z7q2rDnj%C-w}MV~$5Lt8dGq!CB=SPrfSM6~`cq;ut`* zcNUAZ37|(hE|YIo+%VdFYD9bMS)$?Dc%ilx%jQ65z81p~blJd)rg3EKtCf1jc|woZ z+s-~;((_i~eT9|xoJoz&ay4jxPW($-1D!aYqPQ^pXd~2FuW&dfmEEI$7!oT3E7yAc zA6R{Zh%-E;=H6`dA9_P_$Y@Rhj(kGW3)N1kgD&+!tH$j5&K`V4Ao9X=xh*^7$^03g zN+~M)ATw}c_0U#V1FD=U+nGBEgm3rsIhG@IS$Cb@?KCs{>x64y0K>b=Cv;{$umynt`PMfB*x4*)%b1a=} ztcLDx&T#u3F!`Hwp+Sa&O%xntKYl%Ydmyl%CZqdp=ww007pH3Sl(2EBsE?hEakIU7 zxvY&1^gPT^h5(B$#JPXyR^C`|S~|o%%f=Z)kig7L-BQCkFDrrLp;e=6`&V<*>0iPE z#mwDyYG{+p5qiqE3oltJW!tw8^ZjineM-|LX4#Y}8g6O~iTiS~wFr9iRx@3c?-&^s zt$Kh4>dGEP%tv>xohhp#+I-6o9V3s(&ku3PsiC43VZmWeUnR6VzDE8&iP7YHU z8r!dhNj{$pCq*pE#Kv@ok;q-Fh@d`BBJn%<8c5#Akk}okYmCGL>KQfKeMVRAwJE~M z+-^`w{F4J=AMwlMXU+8PvD9+#+&XJ6hvf5mflsRO8rMII+Mq6TlkA7L?L@RLlBYg( zFcbgrCH;Yz+^1Am6o;ZgGAo?LK&)%PuL}~J2UHV1cEAk>jXW*0!q0!v7c5k}!Yvdk z?`LMA{)Dk?z@NlmL7l#|(WF+5>=QD^{x!)IVE}xJpBiDa9?LYP`f;-8cM>gKw|X`9 z8f?gj@249*HJtpIW z&d_Rxv9W^s2#hyka9|(ggN3d_1St!11^MnOWVGfiSv4tG>n}(-pMS`62gS?=9J>+1 zbbPCteXf4D#a!|GA5Bjm1s$d$6B&AfNJ)tFH6z{d>(LD&&!W#iQ6F4DS5q%q%A_3i zp_HT@yOo1wOKrZNH0?c zOF6SrzQPzo&%pQoy|hYjwC6|13U!+s2Yn~0sns~%hu_DfnVXKY=Pc_7crSWn*84K` zVEG~%?!%{+O=mCs>v-oM5{8kHlTJyrX_-8A!eZN87Cy-N;J2k`JbD3gz-rz!>BfFs zo>k)}Rc2038$-U6-xUj*+BOpk>X3GR7FQ6jT;|)lL*r_BluZsdA^g!tO=*YgEVE1N zuA3JRpIg6eRV?L4d_f7c(5&N&KY?;`F@f1hS#m}hnY8j(Q2a;!w^m@+UveJ{0-sI< zm1YfCOXyL`xRQ+4e=1QA7SzDRdeh|d4hw4o<9Wq|NK1(s5;7aee3&DJzuVyvRow*% zrwd_Qh_vi4-_kClaU5zaRl}BG1BKx%xv2)^gC9asQJI7t0%M{< zs=t03NE0eL%Q5>lD?C#R<+82?LTdH^x*YWkHn8t338oBf((-U{DmFd z)eDbuIa{Rq9LJ8Q?F~O9S=`x2Kxx+vkC$#_XuRpC5YOmE8b<;&cg*gxDp82c%AyQI zU*TDNH9_6wpaDOW8%Fd(qzUxqRZxY_J`_jwfM&V6>WJB$>8L(Pwj3**|M}$|9UgD4 zqfX!)yN4$=J=A}YY(f)CLT~9XN)`HAUHMoH_dGQ+ZT5RiRRZc7 zNyP6YmgQ+ro;)cnMww3nu6y_JaBrWJ=m7cMa=K!}T-vZ(jI#0WOZw}PP%FdCGa@bjukNkd zBpYH;xp{Mi9++W7K^BduZi}|&UCMk_=$Fx?c#j2L*W?w%%`cA7yP!JPz;#nv6nuyXJ;&_G>JayocJyrs}^QYbmHEQPIDMXe0f zw!k=k30`P)eeL;3Z!5LXdPN-m)0ND&mf4Q`9sY&x5*t)z$jL2bYW>fjVsLn>n59T``b! zkV$moCdb!iW$xRxQKqb*`C$K7+QaSPXGc^e9YxP}uqR*XFt~iyeW9$FX#CwdWEvV5 zKQWiI_B~9aX=Jq-LY&P_FE#lWf-EWQjYd0~Wb6Rs=Dgvw6$J4IYth#N+dq1LuD zPwVEWAT+`?((GHK_$`I`y*_5aW_+RnV#;n8d+NuW?;u2=Z(w3D(1aP~D4R4PrG0aG zlJ`tnFo4(gR}igQ05_4{*VNQh#fY^&qudn^taK-e*bl$Wv9JhHN6O2eMeDT}b!Kxe8Za>23P^~-OMC@i-*5C5$ zzzJi=Zekf2w$=QIb($04w^53`F#?)P)(o|;`c*qn^UL67UtBJxr95SWIO1q)Fnw%O zCnnOhCPIfyD9o@-!?##r?YZcmZaIdK-dBG&k`Tj92z`v-HY-C$)>0QW#P$;u4F_;F zYYDd`Fk;l90LMoA>({%+wy^|nt5myw=_!-yVorWMsG8oq`M}+TnJp{XHuf3W2#)Mk zV!A!EUo2wRkrwUgMXI5GMtW4|g5&qq>Pe=$XV1hfKCsV(dC1HPgX2cuvZ=J4+ZLp>b1Hi3=wHv}d~%fXgrG0+6{Vp`HuJ44U0VoKmQ@Om zYxVu)vy3tC<@L_39?ZmIj8J;e?Hqa%M%QACC8Mk`KsZf3)NaePFv)PqZQt~A<)vWo zVUO4}+lMi@B6FOh9MMuZop4MUG<=vp4!lT+AC#sr(U#dx6^B`>M|;Z_H}u!h z7EgbCsh zTXQ-KZFsz^+PZzXNyv7_>(H_kyLse>tIOIQ`k7PMnuTr3J zJd*}p#E6zaeUX? zx#!dC{piSr+Rqhl;dPxqFW0O_NU%Z|-43KIHfC!Mny%yn>*|0z2B_z2WibGM{pZ8m z1tT4OJXk`$xN^#cMzhQ93APB6>tSVKyV+x&t)EgGe!Ms)$O7A;J}mQ_kGns8?Qi?^ z^?E+YZtFrRh@(44;UoTD$CF+wpnDIQRA*;aR7#i)}0vxFn)#zh4ct7Q#Sc4(f^!t8~r%B+P!mAdiN#maW+kILu$`*d#Gy+xA? z4mp)9#TApM7L!fTI~6mCs+qaENw{)X`a>BJw(&4kvQ*VV-;r_Sw!x%fwR*JErzrk) z+1B69S_&QtzKkzAS|gNst|u#Rl}6EUp{nv_KlVwmTSeoj$GL9za{Sg*2dOfXNS)s+ z^mq0(Ch-Kymv(+)1QpKamZ>>}M&i z+j)5w7Qc5_{Pp>VJ0eFE+KRRwyD(U|Ay>QG!WA?MXO=D-v@uFadR*g{iE)biSUAK) znz;SZxBe+)n@E?MrAWHy5)EVwg;XmV)v`{_*N)1m2E8{&;F?$sFhM!qBT7DZIUzzW5n&w5Ku$nigGjUUjTa zsXCZaGG+Q*5VXc$!e*wto!cZ>lY&$$s(ub=L%N4(VXqK~A3akod~Jz%)=m!3TBw3k zvh}g_11e&;47PNh;Wp z5RcKTT~%;)gj8^lwS+M9#ma4-p6A?Hl7H5s&U(wk>jM|mV}8{y)B#0KD`vEt=>_f= zJ!e1dT1j??)7wJp)|jSW#YjalG+r}K=V5?uqK4gm!VhvEG$~!EMOU$(Wr5fVnDF9HKhb14XsjzFX+~JzWpi|wGGPhM zR7VUfPv(wp$ow7b>~8fPa{fluKY|qbyruo{J=hu$?`#)T-Pm}LhxlWfHcDoVjY_!3 zq?I8?la1T4L1DIatkucd7S62fCDmLY{}cCR#O~R4hRKti3RgeEO8C}da#3Q!*Te&? zLh1!wLZ2B5lizkb$&h8Wi}{D$wd&f=xeq~~K#%Kb^1KqJ;wNfQ9*4e5lAsCCka~HI zm6?i(s3Jz&-Ykx1zMz8;zhIy@aPy)BFR(k?VtMWFvjF^GL=*>zEpzZ7h*>bPZ8kjC z>k)Obq@5F?7Ys^^X6;5j5cIX)d^Ns> zi_<{+GRKfwu0ij~hHOx#VZa>}Li-Es9r$6UA16idXxP;C3w|pvS71PlJ16JYmG|bg zn93D~;TrZMBBy+J5WeC(VDseF?iaJ-GUh=JvaGGSYOCr#y88at6c^zPS!X|cDAJOn zC<;;87oD>_&gz#?3Y=r#{Nv$BWewpeL3Neq+LShpEgXBAK}LgBzBcQrrR|>Udgrl% zA_Bbneb{{~3JEN5wS(#0L~|^i%9?o!_@YGMmoJ~ip0MlOv_T!!UAMBUbUQ-i*(FZa zh|vO293TVib3}LNU5epKS{@Fjb4wuD{#xi9-Z)S*r@zg||J%iT+mfTnkQdSO>O8{4 zWD_rY8qj;FKOfMA0bFH_ggGBsdHIVpm{;0k%H@P$9Q0RQbM1%%$h~Jfq$;FiztKyg9%@~2LL5*adtBX%{*G*Ek z3v&6FsL^BVF#`WHZQ6N|+2}k%3V)EVI^L&+cW3*3lvb%k%IuE?KlGGe{K(e=pD~XP zAZU8zIjC}+YD;05q*_dwycbNbuAZW+{e`j0tpHBdt@-JLv+s);> z$wNU#u36o)_PT}U@>$@qTiU1jUI&s$4smWI6Nf6Q{Nv?dl*lq^v&0{JR>RJ ziEa-AA+((-N`dEtSR7+x!)Sy-D8bYl?@R=&|w z-vY;gmAA;07xqxw2(K6D52_W0V)&I8m~)X`yYR5n&f6(=jrguqdew%lUeG^Fy}RC+ z!&^LjqE?F$+TfS$jQIs_Nl@O%Xrr)-_i{4}L;D5X`;8}}A6NS79Cny`=W6XXe5{BK zvA&^_GRVL|$(I^j>^f(F43!bAALT7fL`rVmib$b9?)me_LvB~7aVM__n)f%*;aPNZ zmS?8ZWQ#AtO(euMo}Yu>{1qn^C0;&`_a_3R{6+h>Ix&fwo{V$l2%#C-4Y6ugqS6}3 zAh$(d9Ia=RE4{*>&6XX=Nq?;h2Cyo@Syj%nG;Y>MVGh}+il^Gy5%Vj?PT4cQ7$EGf z2KAW6>)EL$!vn9oE9OhjgT^ylf1y|CL0^6VDTbxj&6HQlNEqywj@L(BM!RDO=s`XY z8dc~U4qLoFMs6#gclZbBLqqX{NHxN?MzE-9nffRDQ^qt+j2A!NjE)}HhBAGSb> zU%(uV9HLt|d9VL=T7RWKxv za#V8yh3YFd+Hc95nVR-a=c1CLJ@*E?o$4zt%*>crSXjKgf(pQAlKxndxsA9Cwu`n? z6o(g1{|>K@8W&e>`X&NUf)!^fClf?KJ!q{aKJYx8@$Fz9dznopYjT88Vc~Rp zcyhG3h)UD{QeXYQG|syl5l~Ba(D;LYp_LEODG44T`eo}Cefd{IA-09X0Fe>FvHrK> z{dv_pvGij5_kj5wg2*utxvhVG+*@p%6BQG)xHw*`G8ubqW^RuBT<*Sx`-Y}?o(!Lf zKPD9TY$jTU*F;E2sLJ!kRSkwCOl%ps4hpCVzsyWd6VNNpX@Vcfk?$Kz_^{ngJLt#< z`1vZk4QaJn+iZ)uDq2O5fET+D9sT%Vfi-%!AaOqDJ@lIRIMFfo6Mu{zwOgs*BaMvr zBAk4_q93F@5Wh%e$K^5>jYp{^@5O;R!25L&o&iBM5=Xvz9nc#%*?N_Yu+gk3y!_FOUlA(THxuLoVo^l~?`A>FKP?Mhf;9ejKP1 z+2%1R5r|cL1U<;~Ss-ki6I~smoFPGksiXmF+>9{g*t#$yUt1kpL?*ofSK<4yLivci z-In}BwkSv8Q|;HDh<=GYP%3h`hKE8&k&ALOqlbs3M=QSDH)6cU=sUZ+{c%N`9`{@G zMVurl;NKDFGv2gfH)*pk*hfoAO6u--)-QYG^k!ldH;56 zc!pRS}%6ysYIHA_m(3_Fy>Ea1n#!Xtm3)xjqWbYlEJm0n0eqNb+B(}N|eYagbsoheR>CL76igFaxyHrOr=U$Ual>q4*z zSUhVoVxPD6WrTmEpr)48c<4`WUjiB8TVgYx{>fwEaTKv~DTE5vr+02aD$L1wZKTwE z-a-GuV=UTX#8(Mc60`D&lWx{x8EExd=@(>)$c1e!HoEO~@!cNzJV`|&>t04kQ&Wbpph zsd)O+C(u$33vJ?>d_KJ-JZrZvGl2%(o+*Se7L3!vuOt@>^jD%9N?}l4k?cM9)&{w6 zE2Nc|c{JiQr#E1Vc|Q|I*%^b5aJoCA zfHkyJTt5g)rk$QOmh#tP5pTm5z^Z(*02e2LkS&`U^@ z`%+fLA_|<~)(5Dfzs$m=rwCw*t(iqw3)$zZ67TiALM3JjIVcF zq#LcV#Or29qiKEJaKj*aXl~eGoXP zYa0}36M%UAd~{sffZ}+TpWf?7=(++2JhcJfIs%w)V-@pvTWTv~XW!w zXHpWts!MxFFFF5;5|bx-DJZj|{ZvfE60iisH}{r6ZF~48eI%A42f0sDU|8nv5cTfU zd;DKO19pQ}?qb%fA85i>ZgX?HJ>X?-2#s=-mQ;T>qma$9NzG zhPi%WVAdvpe-cc)X|@W?;__I!d6E_)>{sTwGCjDj-G=R?6On4*TWdjE=RP3dunce> zWQh05yr5`+Z*34bNkh@|w(MxiNMeu1n(ThB{EvM~wYTt@I10rTJty!t_CN)3p2WE{ zRitJlB_)-&>i&gZ&2_h|OTL~8jru(spwGE7H1{%I^KOBa;nsL_keB;q*N`LI?PpDL zXSA+6w0`-aL6e76qMpTsJxIgy7%RcC`g7jZvqK~UIpxg1No#|pRea&w*$a99)P<|WJx|EdD&Tvc*L2>y8`s7ee%#0lgn=`UVJ1*7ZuompR~N`(TfDL zWuXYT&LP|^fa)5;B6fU1F(3b!F1%1W^)VVS76a7vmskYvU>bah0y>`M*uEFn8lGAQ zCNBG8torBOme%jFb?*rED;pbrZ-C|CNHF~sfPyCv?CY-~!~)%#}ff9_oI$ZhK*YJVLM(W z@T`_A9M%)9LmzAonO0V_Nx#L9_eP7&_24}*95WCo0`Fsw(a+H?48Vi|vErQ5-+Zt8 zwoYO5*uw(fK#SV`ysv2n(5Z5SKF_DIh2G@|15Zaj07<0zJG!P2*v7h)^|6^ZO2v{M zgVinWSS$(WV!6{;FgaDsn`8Kt;bK{GfOxKu59y1iug;c;&*8noyE@&g$jBf$E6dLA zI2SvF#UB__R3Ug$tX$Trd6KWhX%#{Yrns)!^jL<6Woj@lRel&Hi#P*{xk~Wd)gzK{ z(O?#4e%$I#waJ-QLPzk1;Nh)D{l$8c#YF!5R|PDa2cpAkvB-YZ7~WKHas$gSO_P+0 zF-BAz1-w(3W3jNDTMUHx-f}TIrfCDX`e1rY7ofu7L}Y;aqPU2%eRCcn&bcoB1N)6L zSK8--f;Woi6`QO{5>Xnymg zE#VlHV)v!|u@4emf*rq4D#Y%?H{|yc#P{p=p4Qo+&>Zn^4efLM`9i$y-tg!?_atN| z!QKT+IwW3vpMCzo+m;YOL>?lSh9t0i->Z0hfgT3PE^6fVG3MK|+oTfyO{A9{EU)i9 zYyvNp)gjDjZLOW1RyQvIEd%NsFPWhE1;yo)laqxEqx36@%bY_l5sf<<2eym#TNJ~3 zhqGoSl}p#_?3QP+WD1gY*U)%UWF<9}vloOY3}pYQ5^|@nR&)wyxBDCu=w^3A6Qla&LO& zV-t)17?e{$K2^;|5&cUv)EUKoE~71%v1%j>+56fj<3?Te-Ipy8Mb7H?k0xA@03+2~`g%ryq&bcc@BN?}8R+-IzY*m{RpvM$$^SOtvEX zZG8one~DMORp7Mt_K$cGdQ}OtiZIo)W*lhW^$7nL;t~4Qb{pUMAhNKsX7}RY;YnBw zRW1jL={Kn_%3t)}qsaYJ2n0xJ{IwBVk5GBE51hNWVekMI=)ir0doMGT?w!YAmCaUm zyy0Am1ChUzD@D`3LrFzXkN7H4vew<@lp_q78z@Q1ra)V}Ms}qWnTa2boL~7?2JD?~ zZeFsiU5guk(D3UOJ(cs`YWjwIKKiV(J^b%#ArlYHfy4H1m(t&jU>wB`%nXnblcpso zEJXe-Axly#iEIQQIYV;UhrAB--_fFo4?mxcvIRDk`#$GN6f|~(y>lUXXSU|^<>!LP*);KVd_Y9)b(}4r&bprn zO*-noZOqurOd__$VH_h^c-yWi9H_^}moGqm_vu5Pv?&<|+!|ZX5)hU50N{;bX)ewS zp7(Mja@HSP69+df9FIMxcd<-Q%v23;1e3D*f)hK+-7atRl1WL+VZIQ*3p%N0C53|0 z#>kv(n?SXcj9Q@?tFidkC|t%AcJibC#BbcLhR>IZmM~xU*-+-(f);q4QY1tJPf1m4 zeY+r{kMI|MH~R*w*b92^bgu)Twx8;LOWZFadW9`{-#5a9(|On(MV2>o!3GO&f${WO zsk3zUzq7O9TS_es_+A6amy3|-wCk@LUND<}*z7%K>;WEFU!&qL57ol&SA; zySv~1mMQ*1g);bFCVAsDY`Z2~JOy4qXwuU4YgTe>b!!1r?!s_)JKjRB_m&r!zZGRo zMwYga?T?z7;vKx(k*N&>YSMQ}oY^K;wf#eaZb=8THKUh*-Z|qN>cSSMwB!pbYc=Uq z|6ZT_4vML%+}@cABNpt-YW^2Zm`N>-%GP1vXpm!91LTK12eZm8)(dT+w;2t(7f?M9eNO@3%`?$bG04^D^6bS9=T)fI zb!*Myi$+6D07{w75DJtxSf87&G*j9>yieq2gMefW!W>qM^{z3mMpzm&fv;+B2qYn(Z}_By#@gJ^sLav4OKvqgzzjuIW=0TC5q% z{6{X%$OTSgG47mMC&@2KWKBOQK{&f!UxKek=%cVJ()3 z7AZl4h^$L(7*!h)3{0Y0>B6^@G_C&>Ub^m1;_ybs0pqvDO^9nWQXBoTI9tN{j^V0% zs6#hF1L;5y_CBD_yDUFMmqok)#q`0dT=sWdFCPDubcBl|?`Sph%{|=11WvL2UR_5V>>Jho4r#%1=o##FXj{< z0j4(t$d55F>zwYh6pja?Z*4D4^8MSc0ov^xhju+#ZeWO^IJ|AMPd62BZTJi(#?nxt zM?9D#I*1or5MZ@lXX845CTDiqiUz?;{0BAa;nAq}W)EEW_d z(>xD=nG!hbuqs&00$fkR;K@~DQ7-a?`^0;t>}MV)1zN1dLdxao0>bL{k+LM4%^Ssp zh`WDF8fF;wrgl<(P$o@58Ibh!es*7>{rYQm|5H-MYl4`5$cZ@oQ&N7J*NZ>gMnW}z z30Cy;1e0I_?4RIj^xZ{!OX9}B2`4PIw=4GCbgqGa$C;yU##|^o5~+!HE#x$B(`8T; zKv-v#Y!k5Hyc&*yP=P_+oRXakTi!1ca?p;0=*2b?w37rvUU!ZO#()AI5OuP^|qs z5-OjV*t?WEKrZFq(Pymyl}Zy9Z5w=l%uGsQTo|IGNb%oI-XHoaodF=kkXFB{|Br+s>;c*5z)(JPFyv$YyT@?=ZqDCE zp6*{UdEcG_Ln+Y3nLzwkk5h(y1hj>ND*iv(O8(Ee{`)72kAb1QXAIl+`&W-+iSong z=p@HT{3|*%-v<~_*PH;JY;t~nSGgLw z|Dj3e03&}%o)3g5?d8>%F)3_QC!Vq=Sc?_C-BfO+Or7FISir^(U>Pw)#VvsT2}*7_ zSZ+zcX-i(}2s8n}f0$H%d<1uOdv%Z&Yta^fQgKRKMF50pA`5$adx3=}036wSUgGSp z;V|(YAd+()$G#t=ptmPHx(2d_H;x_8m8SO>>g^mIGERQc)U=}V9R7I3#=wB~mL3-u zcmB~+B~6!X2S>*z^6P>~RQ8@U-w9Lb|8av55}=8Mcf9uwf5z88azt?NyI{!~wyMlB zIKMEt9N~>w!?-Fsr4igyM%BTrtg7E$OA+5YI2e(_J;md6rV|h0T?OJbP>NN-N)}k_ z*c`xi>>|%9$iuC!uAW-momx5eQsqtqgz-C7r>b5SzViP#*96v50L+h@^}gKb$?bgD zyF{T=Z7P!jI&?}tz{>lqB*#hbt=yZMn16W(cAhr@x1*wfmCsh|?akGmLy21oBYv-j z)53Gf4C+@5Z~!P>&UaP8SFyaj{G*p9hj<|Je`_h@=L8zDINa>*8~KvNIrpN#%FFCDvM*jfFa!fWnsP(`w29BC02g_Uh@<)*pJa1xy>4%%f1^(5|^fPc~A0^&9E2k z$D~dHW_?bYW7%(%wFaJbVtjl$kneg~g_XdrpRwZfg1ftTnkCIOq$umlF#uchRYgQZ zgwe@;dUXXLOn{;@1wddj^V=3Q|bKlV&B#;E?tYeWQl23G6Znws{^jn2;}zu(+BIH*27Jx$(o zIqsp@O9SYVy&bJP*GV3r4*+4e@xa4sQZLkG<6(S1LfrXv(RT{$4F& zV?a9J*Q$hTJ%q?k`1XxN_*yf*EoF-0q@~k{0LZSJ_HeryXvGr2NT)#af8bgslJewt zw^@wg;mf#hlR|HDgm$J%*j=Am0zDZ!CXoOgGI`^_`xS&0_wmL0^z+eb(_RHCy9uMk ziHS8Ht)wqst~FjB0G+Ty=jz>owwD^mb8055E7fWT|G4*0k^Gz*PW~neioKP|yDjb& z4mS7&F}2%~0lNZeev5#%Vd*N`-Rm6n#~(oVnVS>y9Z-L!*pxw1Qwg!@K1o?wSUBiN z4RP(zWMTgd)r4lMkUa6-Che$$o$P!HL%>hlF=cA7!BGk4@OX_BFX>J?=sn9CFDFW> zUP;7Zy=V0=wQ^s@I|V@1UYx7co1B)O(%9T&+Ynec{b}+BPgg2n0x#ZMQZbFafxx`f z2*lKoTG2d1PN3@U_TX;+Ql=BCsqZ`n+{(!H@Ux}{z56m!=ra{u=yX{T?A1n&6O~7! z67*7gcWd-sCR*1k*b5thgszm8OH10ER?cmB*O8Wk?!U;0#69S~5*8hk0%kZokY$k7!=o^M%Aj#nD5J4=D(#^9GN*hlSlCEJA^@XbRX*&BCcjFJI+Ad4=hs{pq z2p$-&*xn-257-xDew#)J`A0NQ>#XUl zG5PVT$yni^M(X;<>||UR6HfI-g#k2b3@E#J!M@W8(radDQ4GLO1hC$XKmyJy0`U zWT1Lb_Shu8@n?1PAIyT$8;?(V4pz4(3YhB@--2NTLB-_5D6XtRbt1r3e=giu0@`U* zWT*mbLq1ij%pni06j}^cMK29JfAc|~7GXJ{B4y?D@kRaj;ftunZd;sq=&7;V-Vq*j%?2NPPPGF{z*z2H01(Kv?1J;euqtI+J?T zCG94v4f^89Q@;)K_0>Y+ilOob30(-+I zm2M=Z?|eM^{@#Dw`}ux&zi^b_al^BowdNdij4|h8)9$kK(=pYamPBP7f+Zj?j(fN{ z%j>(GbNlRdw4tjtq{-Z??l1U#`L$Pk*;~!^cQ>XD z{`J`9N5=~c0=GH zBPNDS0Yq6pmF9!n-4*0_|2mA3dn$47pQ$vV#AmqIx)fOxw7VTn+QL=ZeiFIP7Kv*Z zd!JT>hVB?NShjc^y$g{%QBbB%;_{2JaCSwf$!1soZ`?`i*%tlmVUiIG4$YgF1}U%i zXRm+fYRcZht`@ZN7ou~pkE!Oz+g{BbscN_L2H|H}zsSVnjmnW5Put4Pye zA5*8yR9r5pSxXZz_nstsc z2^^KV*8bJ24}Nlngod7XJmRO-F9W^uyS#T}EpObXSUr5?@1u@Fa~{jXN}nVyrYh?TEY`8^I~3&P@Xv`s$B3!IeqLivjK{bL z?*PNAkX)lHX+oGi?ExIn|wxf-1`(eduKot62uj6D<|PoIWoX7Cc`& zzk1C}KKTq0Dk$#^s^wS1iU#o~Ve)T#(Ys5K`p!vu#2+G2DHuomQsd()m$>5C4lNbw zPSH3A>;YQ)8;wP7Ew+f9TXF})^9s=jBaHTDwTHId^-TrzQbvpIhRSs(Uh!4N7bHYH zBtu1f?{BNF1{S*WO-)|{kYuszr&nX=DDEpS+r;%!MFH?7#P3;%AvIG$qGI@8EcY@$ zd}5N&Qg4%7VLV+T_cLM1o0BI_e{~(CBbw^Y&l>*KT*t;MRz^Dx z4#B}Cd&f0GTz_IzR8+j7iU&oU<3-DWW%^Ec1t%LD8wI}MMsO#&Y02~nWcSAi`E7SN zcZhM$Vb|=|G-6B}#h=G2`o_WfpPUuO-fw@SYjYvbLK%|de0HUZM~lXNbG}9_!#mj~ z4?k!>Iq&>ztI(gOjGeC3rbd~!pl>TYYxjcRwPV*)ZT^J^PT!H;Nalbf#@7I>=57j| zS5;?WaJ~e5M~c&8Soxbpe^Au%*+lip7kJK-8OMpb`1&3iv2pxUt!$nAm~;l|cNp^Y z%XP2ku>o0Im%=1|=g~R+3*|z~1(A+Z32p@QXoE={xqg*racyv?^d`2mALRQ&^Q7XX za7C8b;xLJ_MZ@aXnB4g(@C8LJ6-BU)iJyX&xL`Ts1WghA_ZF!{2%&ON{c2Ds` z-;1B%7_(teX6L<7gAWl0ox?u$JYsxEe z>b^yKyx3}Ne|w_GRJ?}8DZ<_dCSWp2(h542_G1!-?b1T(qmzml2X=M8p3Lnn#-Wt& zNGx30!q@Cige7ERxY9Jz?~pVOzoB1PucCRK$(|TJ+UG8R=rA$0EPVM+Oqg@i7Mi1B z-YaEVuPxK~C+idt0ixrqP3vcxqJ_0o;}u1d1=dck=M_$O>0M2I-Cwlq>Rexy|H zmGVtmRZn=)*DIu7M;m(HEK*jB6|pz$y6v)CoH9qFS4(srX%U*YCKRU)dM#D$CoO0+ zUV0ToDSiVyg=YE5+IP2s0ZqN%3TnJI$Q2f6qx)|y_+D}9FLNAwcek_YIQJEeq~|ou zdg_olWE{8VV%%|oHO67IOt;g6Whx4r&&Sc&panl2zUpO!aklWlqs0M=%2&{wUhut~ z{*;iGHJ?{U+3x{JJgK0&_Ijz^(0Gh#=+WW(MvOBksfpJb*Behn)(6uCm*kzI7#GmV zWAoyzedyzt4G)@P`jEH~wTEh5;^47iPl(nUD>zI<&gOrJi2TaCL+iC(d*amVaK(f-e#br91lqo@`Al`e zdoy*E61Q;r&h3F)ArCMpW!Z%lZm;8l79FoosYt3lxYa!`8TV!Jx_rg=wV(q62D7#} zBw^t(80Y!ZuwX^#tH-ldGy30a^?>Q{Y!Jcd@AcXgx-0PIx_Pdw&&zFNsbLN7oxuCo zhzWAZ6LuC7^Dhj3t?g@mW6TDnyvxA$d(2Q~!@>a^@RQ7|e0Gsqe9j5c z>YFEtFRX_3SFUOZbr|eR&o1oUKx`&Hl202-S<=(?-C^!2|s*?D>W`p=>>))>|<;_PF;g45f^ydn)x)0MDZYy|y^-lW)R9RRTuYdNTj*yG4)!)% zfs~mb+XI`kTFd)=9dBr}EQXt*J^I(7Qcp~vRLQPbEcczOT&`4qzp8g3s^B&Tmrwgd zZ3cQGp1m=+*vZ|kCSzFIXA&IfVylqWX)u0g*7Ci}k~KcsC7=F|>jKJu8H&H7og3*G zFVxO0`Ls|6jG@;;v2T{)T#Ben2&;@?sPwj_$MoAL@k8GU!s{DVJtsSq_pzf=zgL6J zm}q^YqP6AjjJSM+U#l8x5zhzDXWPba`POT%zS+q%gbtO2($2n!TZpyj&=QwV0chy_|qy_`woST@nfi_BYWhOl-%I{!j zWWVpJFsZR`bo4h{+qO~%|1S+P!Ah_tth&oA)jV(ml_2da&{}h^Cn1_v>2#?6udH zF&z4LpHom1wj;&e)OPsI4Y?z^b=q5KUS}EKW4w=KlYP;UZ@k%FgGi>I5-*y--ClxH zzHa%0SU2+osu+g_zoJh^{-Y5c+1{Mmj2@N|WlWW{c#FrgmHRBe-|#u@WGP>_VtJ9D z3wM0-yyan!yY`Uj@qUn!_sJuC8V{2-Jx0xD)3&ORc~Um{2!#$CA2+sKrpUzztTP$6 zP4w2}?Ouv>le$$;MCt7=no){Rv*p{JQ4D3GkIj|3?FshbogtA$C`LTQp4HrTA1rMb z9>`|%H)R|GX*>TgJEQV~{}IY%J#pQv>k=Cf(COxLhb@>~delhd+srO^(CXK=2q*8| z78#18r$|Q0 zq;pXwrYk(B7r=qmd?8aLufKhOW(DP{hL^WM@y7P_jVX?ixXph~KHE$EfQ_F+njh>S zuiiZ1Q}oH3;D+R2qPD;_8+4X=B2m3K_wY9t1*`aU5WT)^4_Y?!5)?fdw&q zSsJN$B+h(-uCxn!KTcx>29iRTzFFa~lEk6u-VF;6*qp*9xQ53T`WAN@pmS1_jT!nv zcz5WGyiaDUFQYnq18*TV!KS@f$Dd1?>50dL9jkEz#e{T~q`wnFTi?EO4f%9AtVYp z`BZfI0i>ABwzo%}a`1qY&c3>c!^F8YGP}8FX<=HLjr7<&fVejw7v8Ajld0NStVk^J z=Fu^#P+0GfIq+7gc(^8_TVVEV69oOb0kc=PkKu~Pc0t&GmE@wkG$1HzNm4L4QS)aO zKu?r@c%y0KT5qmzZ+F1wD(K|yV3cspcB>_!bBAF>!TLsetsdefh8>r*cLs|m#g84^ zfX)}0f?e9S9y^V_)eM!dq**(;6Z4!+A4_`e?w;MWYS<_R2)`q8DbQ9wcik0Jl6KXy z(H)*s+@MG(PsF_CHPdrzKY{*^7Az#Q%JJkMq`$$Pc=jO#oJ5wDWl{;_n=`0N_N`N- z`)m|^^49T`dTcKRWc@E1Jw&#x>`|iLY-&_;x?&hhxX4n)gPHFz3Vay&OAY(ns*RO- zAL{9+o=8`ShQk%ii84#Kw;ev&RU3q1K>pvDUHk40^HiZ`UrL8nPbES~uBc{t zETX)abq~9|s7PtFo`SaHiT*Jz3z_~9m+vdB0%1cI=)l(X2bhxLtCk9gn=nDxHT&D$ zg(Z#wZ87{4TWyu8`j%_IPL}MUfKUNhpFFX=Yd(3lc=7ex$+-*qjcLfHg1A%I~3fX@_n3$I$1i8sWrHu(H(biQcIxA>Tn8I>18l9U}B?O<*D(YzyG zY#53efv(SP2Nn&Z$4B^qF;94fmnxq#@E_n1*<@lO4r=dQ*AGQ zm0|Wl-v3L>!9=uCLrLJVIMVLDoz2aPXS}YvfHWuc6}52cIjKPLNPFo_EON#L+|i-H zf8^VJGor*_8GzkkxEZnh#|L)uf?H4_UC0NDrBF2>i`+nKA%J4%sGzcJ3^I^(+!X z>Q&2%aC$+W>;nEzgy28QTit)nEc z<-?a6na0)^hXy=$L1%=n_$A4j-n)4QT)C0bZWD%zJX+byzWb|5ilI_gQ}_lAZ!jnq zJh{8*TR=YzI)UWLnXNw4ut(bH-Upc6UL{TPg=7rR_vI-ON!uxI8O<>-u0BO{ZkTb! zXfX~}hU~wrjKb!Zle?ksq;-bZRS=AwsZF_FYYB;`i@!~t?GBqc#k!2cKfyEMShhY^ z{rv4W=T33np;@rLrVz@+MVLrGKxLgpXPw>JUF|eq8E@WC3ROAJ(DWL}L;L~b70Z{? zeTU8IRDu#x4)eucGJV|kMo4*kVbiKcpv4Q0&cA%i;ed##X&8C)ebdwq)Ph*#s9Z2=kBs4d>Na}JNXNO{a?S_cz5XVr|XHXlnlR5+V5ZGPyPJ+ zuWXqBTVHujirM{BR{!t+*P(#x0D*3eTTLbZzkh55Hw5NPi^MU7|MqkK>tFx#%l(g+ z@}HIauUiE2-+%Vpe?Q&-Ij#RAO8qC4{3n$BCw=`}+P?8lcFLM%9XKWarOMSiLT=yM zb|&NOqe4W6`>^pO{|#6~(jf!9#$i~1%7mcncwec#5kiJBDaVHVR}ezYq1t=sEeTnY z-~Lv{o|ez>r$-c7)l{zkU=>*oV#&@|0@XjSO7H(P-I_1#G(*r+mjYw+)06Dy65i+g zalB|gf^5~~J>rHi){&g`k3u+|)IG{jslR`HhUz__T2GU5NFYZ%AcEur0~;@vCi^M; z8a=9`phrdQEY;L#a!e0m3;T?s`3>G_=Nevi7?q_Lb9(2!fHrys#hl#s`W*hl?k652 zr)G|o>C~{t7Ut=>W#5nW1BG9>^h(?js_GVHfhro0pWvp)%mYXcZ=JQ8MCVqWM}~In zZq^(`sz`5Lj}kC4RILPot$BMccd7I#(yL|;l%;^q6Z#O2m#;fZeYE$W5$A=Z7<6R| zjK91_`Aomz)}Q#4Tm@Laq||+26G)VW$K$Gu@N{Q;$k5IU`P#(#0J;n=w<$u=M&5VZ zhT`j8Zr#ykkQ1T{JEiqX`tQeSS?qi~Le&KNc1_d5V=7h_F&QhtCF~SStgtO={9Z0l z{Nbx}_wH+Gyz1Mkg5Jk*C}H?f=O`HN#9XXB*nwFY-^iZiVka5;O@jHJ+qE8B=lar= zv;?M|rzHFQ;5?s!PAcBzzI@Y(b-YoSzQy#Hx8bX?&;Gpio~!=b#(X^kB`UK)J!Au} zB)xX%f1bc?FW-VVg?PG@SLu-lIor!K0pL|>0R~31Ys{e7I&v4ru)JC*8Mwn=wWglG zcvb0kFfHFokeu3_Ue@&nt<$lW&7TX3TFP9(>slmSsD9H4W38slfa`bqd{Xf>4buzm zWuSMt-~)@}Vb+HU{#a%{F~ioXEhbx}-|UpkM+06_%YX$y;qr;`V5n))(z88{eG&U- zXUlp~sIuDF|0r1s+h$v@EisZWZVuQ^CSR{5=zGnd4iE*>+EJYM+MxhS0b{=PC_X){ z$g!f2$u6vp+cW9W@duz{aK+v_@3d!II;5qZd3U_vT>A_30(Ng>0MAhm-<&Mn-+>Zi zKwldD$Q@dLn(`Z21|}<;l6^=Reyr{R3El$rAkWBFhnpFcA?hs_Z4JqW`6lw`7Nhj+ zxNt7~f68C#3^Ldk>khOiZBk^N_1x-vIte{w@=z0WuHU#xO-@WsP5M{mS%2BHBsNTC z)|`wMiwMbXB@&|3&o%RryG)&(UN;Y4{-*fHk%gIYrT4JW@k<|yB0M6rT}T*a2*r!n z1FA+Ypw|}88XKI@6Pb@x!Wo=K*6o5K+v29K*cP_rt@Lz+ z)!uHIvzCg>{n;RlOewQZumaXKlgf3CCw%N0n|AX1!&e!3W=DfSqdmEV1Qu7CrxoG0 znCd%X6R!im>fqlBcO>ue>Ey{mS$pu44+|BuPM+PxI$v^MAa0QeMpAgzXw3Iwl#{9S zgz7sq~Kgi}2h0synVA(Oj5I4S{ zADhqV%Bckpj=J>Tn#N2|rbZQ$_=E%bl}}Rx<@zOy*B1yaDzud>pndJn2X2;h0I8~W zapXSO-$tIscS2OT5%uw7z>!R{^K-AAi^zL0@UqIKgu+QurDIyJg5;SxJfa3Vp3V~f z!i4gBS)~K#^$#x76$>SClJLGd=BXs+FJghEh;P+JqU~J`;~(Gazvddr z-@MB;(<)H&8tL^10ya!ky9PMLiHecE9A_-aBhnKLG+6J2VtiDlM!EvO^4GR!r#M^A z$JzYl(F8p;Z&@FP==XI9+71e%ne$<0*;FFg@iT06hVF0Uy;qvQLeu7yC++S4gjq9? zFFIU!Z`fj1Zm#ouxsbF3s*fhpM<#!jAexbL$Y-3i?K(upV|~|>sif9kuKrv&Cp$5`){7jDH`PSTV$im65hqXt(VlOVeex1JNX>x-%R6LB{a7eQ0m_G?eTTYoMw8`= z-g`v=b)01x-K_Ec*0c2xFVEscR6{+>^+>t~`r=7%&BBpwGDPEKBo#G9OXNx?lLQTU<~aYXHjS`>*o1JD4pr{xa(%&EDk zLX_3^+RO@^>m9!&@0Dk3Gu?{Wkx6?P$PXq%r%QzE6AC?#8VN8L-HHTu83Blw*b#XLF+7I(8i&jX?s9JfS-hl2!GXp7p>mg3 zC)pK#`fUsqgCP96cfm$q4E=*Xt90(caHYozD9u}ou9!ZzYL^q0^|X4T6`Fig4EGs- z2c?W^S^c5FZR3HxOezINb=DWIR?5u$GL0qU@;=KoTk-vyze44G0kZSr5&kZhP?#bZ zfrQ#j>yTL}&qY<7H-ZmJ&hU5LoZ0pLnv?(Bj1$h`@37iFnMdv>d-~k5g3WG z5h^x$M&$?-$CNG4B8c@J-o<*6O_gh8@#zMJUgGE9tg0O09!B5>)(3qbnG7z6VXLx@R~!~?C}DmM2}#!bA>r*=Ds ze!(RHemXXMq8N?OsbK4O%QHylXSMw{w+DvHjd=WN2)09&slG10@` z9u9kulCos=spo(tw|ChftTcECwgobaKQ^{WbgY$U9=qtOr}y&{g@C&_WkTWcEs>qN zC8RIZ{?o&w@|)jKwZ3^tzS}eVR1FT*_3vHgrIw;=cGF7Dn*Y+q^>4Y38R*@VXGtQl zE7H_-9Wwqj$V<+kO}W5=D;(A1hzKpEsmO)oo;yEec9~v9uh(P4FKehxbnJ!T?x8m% z?n&<7kJ{G;lH_}oZmz#IRTkr80sgxt8?xaO!BLabr)>9TbG4f*SHc@YndfFseeWnx zFp!veK-dAdpW#;*#`#>nBzxPxr$=suaVzJ05I%enl+i8+RT$+m|81{dC^CunBE2D} zB!=(#s@w-FANV@riKuTmXPVDKP0-+a%=X>ommMS=CvCHsduG-WyMM_u``c! zQXQhP(Vu*g8Y<@zAWpmlMX5Q})T~lGldK5_Ca3^Orh1L+Z4kDv$6W ziAAYyLpplFcP+m&+!a699xKS%^mU66)w!w2>N9SXUf=RpX{Aw(Z=%ng)QDo?&;eX= z8wzE;nI)!+;?cry(>@i5BJ7A4KcUQ?FuEJtJ^@_#hUexYGgi_%&UhH)4gGml-B8&l zbZoMH-&8J>1;W)fjEUU*QvUfywVPv?Fb2jj~=6+W3L#Ls5s+BT;J@EsLBy<2( z7y$J@pp_>1ec`lU*^Z``rbkrCU*t=JUlGkXTGdJ_!yK8#U3z_A_z?)`2hVhcDu zbO1o&EI>aM`PFlR#MIO7M2<(kf+{LoL=hYqgp2D-;Ukgv`x#skfAYlkvlG5>SnUVu zXi4S9%_4@@QL5a9^ioxp`%JY;Y5x z02eZEMg9m?_!eZ-W#fKVZ*i>{%gxu}TYa~fU#UKjywVk=+2Mk!kgcFw±6Wtev1 z`#{)58M5ZA3O$%s?V?RJN#fKNAN4VvlvwX9V~QwD z4`RT}cpAG8uzxDLPI^G@E5Ey`3}>yUTCUoNa?YyRz!RC&t*zc!@erO|X~~xww`>p3 z_~lyCeOQ5sddg6WClyNW-k)fRT!Fmuj8wj^F!ncjA0YnM(;entekZYLZg`)#S9SQC> zhfm1f-QD3l@X7?CHZkO;w$k&RYHyenz+UJMWmi?1mX1~;$g-`4T5uS7X42do$ zV~i$8_h2>#^YA-kLSm>sK<|VBJ&L?ncf^|u^N-fe0CN#G677|jw2O!4j*FF^9Yv%s z;&&*@7mH}M>l4?+p}Cx0PkmxO`-KSZw)OrG;-v-D1@rj&%dT^S@1pQeirbEdR=w87 zobzO``DNWY*mj2lR@kW7T*=!F{-ai1;R-tyuqJlqEIAZ#-V%TYwy7yw(6K3V4KEsW zOzprPag6FlaUio-6G^9>H_Q!u7XeOoEM!x3I=qqbs~&mN-H=x#gK-cm-Gjj-iG_AO z?twU^FD}&>mwR_VOt>He@x)shnVuArR!*k`A8Yv8bI5tV1erVE^X)Pf@B}nyxxRE2 zRu$H4%T=QuH#L)&VydvPuYM`zw&nh3g&|G_s{e{p1%Iit+K7R&2&OIl6Sp{YliwS> zAQds<-cs_v*c>g`7%DqMbcBrZMHO}+YKfy_#s#Nq;el&6=V}h5%5ls|Y1k@|EPkZa z<=Fh(<-{sj2-tBS%kQ{w*e*;B;sSXAVI-k7Is+f(e0*PmdNFAC?bD+UThH~`3Ad9b za#wA)CU~P0G$>G$WSVE)bQ;>qE?rnqu=08j(6T-UGrDR%6aw$GD*sAkTWd$v#+A`Z z1(~M3 zy^9C+aBWJ0rbu5RN1 znE_*UZ|c*25u;8gs`9jQWE;<-l^VKMhxc~u<@!RLSM8;TMg{@zoTNv-ImLt*zw`k2 zt0cPE75olfAncOoMhMzsEbAtYsUT2FZ0_;M3uXx%HX#JB!>dbQw{uJdT^b)AhhGsF z!k20Fl<*El2+bZs%&=3J=qQ90CmJP*#UlWiggy`!qa_wkM1YC25_lC-FdDF=#5}rB zvdj#TO-ZWFwO%V5s7)*>fDv)Hfk4L;;_ut^_B;qAr~8A_Fd z+&U_YP0niTJ3eyua1U_Jr}K>y#K>XeH*4cyT3wx(Z+ys+EKFRWW+FX&a7%F3&6BOjJN@(^a040P^BKbq(X24LG-b%}v37H8$t5*|<_4_?X`)kQj+X*=zn8c% zTkz#-EO?5!?%v%o{F-ALR2S^syBKX0^M< zk4selS}?idKIbh3lO8|sE8TWf5CCG&MwpgY3i@13@m6!6z$vX>q!}&9$oRCXN}Vs4 zN57$l zt%W|fXoy^!5b##r{c3xoEs@80&a z5>Zza2}RKW#<*Zqvr&sDrt$cn`jHA2?{FkH_;=lJ&IbLEw$(+=jr9M*#{$3DOg(8` z#{(*WdyXdD^h9Yxa(5n+C;|z3^yJfudn3Sx=hu{(1tjYh-rov%S+<^SK5zbHy zpVlsiX0z_xY{ND*9Za<-LCq*2-Vx*Mu^)K&2jit zw@sw8xXbITt(wv2iqU1kM>MTibsoBhESOdWeag^hf|;2(u=cy1*T+9q#zwZywTq0j zwN_0m05Nt-Z!$_qKD&TAvM9Jcqd%XIJXLxmJa+oljwDJ}sp9j>!Tg&zX`gb-(sXDS zNqXuU{+)0|!Vea|{mv84=bDwJaC_zQYpn>--ijF-rS+vn5~3aWb`6-`nAHsbts*gGY?5x^$q+8&%wB>ZL=A)72DtaD5uD2q9srs z2qM+mO5?|&Bs%KR;kDao)nIYzrh59i+;`s-X@%Uw`508Vwj15e-=v`9f6>mvPt90y zkDdbU;iKa?7Kq)T&r9~m%#85Ro%kA=9jv#5R(|f8mmJ^eR(71$zd);L0~>eo-qo%r ze|;L5R2dMOp56FbO*Yw)5Lff;U^ww|?++>VXcEDNd*s@W20A?M$`>W(YRqky={(=@ zGmEn=;VKbp{k@jS3cw9Hf6D}$&+DB~@NemJ%sE811taA|RMwUKYLfNZJeuyC)EQR( zU+j|m%2dxG^hFhMwvevAa$H6fznXcWaW|Amb74uF;EvQOfj(!%?2@XruD7Qn5`zF$ zil_nidujoqdR^ri!3^lOUiIdZeyEif(#EfVwRWl;ckH~3t}=)Ab8%^WIVP4BZ(z=~ zrGqZvOmx2r*7c9-S^{WhG?qR(J2KipU?JSv!>8{@z0|W(-~&rPm}_#ZI=LK1WjdRT zotjLCY!dZE%HIKOf=wqx2B{_P81CGJ zrS@^8UHbNshqTAJL}V@bB5jzI8QBrD&&EOEOokR3s;znN&j#ITlF#U*(~(^JtZP}i zHGxIgMyK|@<3t!mC300!WWH%5?YOqh;}EHG80ps33x2~VOiq2pq(j?$VHTkWbd;~`w5nWtd^{WsYTTT827pTf zHSDX_wR|rXF6o)7Hdkh!p4r`6Eu6?`xZY!t8{fGJL*#X@h+6UmBX@Y^FOgF)=zVmD z5{Yi^Y(IsyW}KrPf5n`h4$9p#zYfCM;j?YMzB;3C}Snc@z>{i!q9u#(p^G( znKvhJw)~R4%xeQK>-cND|`8^3y9y)oO{$~w|c6reVPOe5&+^O9qUN(ynFQKDsPv0q2E z&W(Zf`!u7Q0QU)I@g6Z!!=7yf35W6Y>og%K2kqFr3R>5zKo`B8t&*HOFu`Ok&^wSG zSH93D*twQFChfCLTv(Xvnt+YSx_U;$H(BbUT8q0UM(PfaDPL}P*$S;!UtNnGU#9JG zLWWtucOWe#tWU1~mWh)oiNDX%LM&22;6zxNTMt>B%b%z|gzPMAk_~)esZ@Rpc+M=| zBJ{7r#CJau(Tz2PIHSsloH|Zir7#2l`K97hb4I$r0++BhT@p_IS@E&wO1Q|kwv3Uy zGTIj}LxCw!)gxvX6QWrH^v9(AS?Jq&nW6P0LEPmp#)>SR^2s-7v)!LR5TD(1mnYVK zxb^ouc~)Z&b-#R$%#H`B90^17#P+$h?$0q;!XylmI31DH-ec5+4y0Mgk%Sx=BYrX9 zV9bO0N-kW8Mk}0u6%Hb*gzIr}i6>i`QFz6{6Vd8=_emNxpq}#|$u+8J(t0RNYN;o^ zBj>Sd)Vk$8pp)i2+1A|I;^zmnQ)|+}uEmsSAZ?`|lz3-LnT4!hmnB-4IJ&1u3q*zc z+zECmwHnFN@(5GHncz|43Teo;Jp4)B?s$pI&IPK;f8=a`*>xa8CmA##YFW-n0QeYM z)?l^4e$wCc%AgWv)ZD4o(wlR(9jcyCGCmftO??Bec!GSm)}B#m*A=IrS{qJ_bI>89zono_hd3`DVZi@iG!S zzBPLruQF%@axPJ}8-oPdzmR$!cmfXazUL46?kxDqE`e0HruQ1mo_g65Nnp#bF)l1) zHKcu6w0I_HG}+ds_PDl4l$=N^iA3g?7YVL}=Ga#xJBTB6Y9)h2W~aZ?q~c8xrzbL- zG4M8I)6WUH83nX7(pOR;mzL!Cd-b@`aVzw{n((f+&HkEUc6bf^rlK{cY#7m2v)j`7 zozXn?E=SQL*Xko&eCD%2B*rI`=WrAPw=Wc{CQEEi@hj7Et$P5(!J{ z*FX}Aao_-gQFp^V0EUm2){ zcmJtk%uR>}8;reYag!=Z(gxo*%;$7GAu5`;3*pxq?L;^FOzTl~g!S=bFB&Iiw!JI3 zAL69YFwiuP;;$dMK97-z{*=A#w{WE}?_`iwEHri5};j7$rmkeD>$m6q!$BZ>Qa7 z0d~H_hs+%5Ka=t?5pjw}NQ?A<*%S{Z$ImCj2L{?u2CRsHRg~4=RDeFz*ZncQux$$} z6z!L#K9oVuFAqM{a;xaol4j9X!VFJ*cRmYyDLyKD_~Fr0$4a=SR((L%R#?2INA21D z{x(nFllCt^grpX7IGrj+MTJC}v6%LvrE24Dd_v}0$^X>d8aCrUG&-V!@nZBcYu@)iPXDu9(3`? z_(JN~PY*)<`*fA-^>*oFuRXv3gmuP4Z|*uMk7I3h@isNIHoEyHkJ2&6q-?Ph`Xep2 zt*H?tVlEedG}-bQr|=P_3a?ICwWc>MWX}@_Em#9RI-TSuA_d_7W~&nXD9$E;&12ss z9S{VegQ%=N^ervE5$=mw;;oV9BXASoIfotf*>3A4dJ<09xx4tG8mFB}$rdX2;erM3 zzJ~j+SGRCl`FF1E@aK0rzN8f}oJT6tL=utIoZMwe2~zE^Q578v#aZ_boaYI+Ni-hQ zu`srQ9>9GU9|Ai^{KOu(er)TX-xep$a`y7N5eVW|J6LqEe*yevfiSL)w8%0Y&urKW z`~@nse^xw&+B?)pso`@n5QkL2Ptf;UkAgNJtnYY}CVm|V( z3x!dlkZ~z2k`fS6FJT8rCC3>U4(?>fh!+>+?^KVD{C+Av30IAc zAH11!e_sDQzOXXFa|14A(4?}=zdPe3 zGXhNpxrH`b_jfA$P9q999 zDV{h2KY#J2i!~MhbWD19qu%`6pixm|DvN@hJ+9a8Ez|1&ZDIyFXy0Iu=V*BRIU1BO@Q4nXHs(6{tz|%H#4a?9 zUhsT;l{3NjZsb?%=HguAY7&VDOw?1pb`=Z4Q$LU^W}NIS5Il2ws$>N2@G&XHeEx(C zV(-`^YaAhHqrX`jU|zo=>}>ypv08JIli>a@>@nGy18H-Y*$8k@hf~R9e4oWG-1gVe zIqYY&I5l9Wulp!pXyQUi4#{%1P%b39M{kl!6QUhFp*l}6-)j)5K55u1Hk1fr-^@4O zCAj|Qv;}<~1v0J9f(3DvxNE*Yd7}st*!3h|N|u0fnq=uSK4VfptH4rL5DopOgL5IU zWQv1(EC6or)VgV)4TF8c)L66UH<_?5OaVo{U#z3nNZ+i@_ZM3G2}xXZeQ^k)Hnj+w zPZ~wm5NGfSZ%ON(3l=!XBka-Q89$Ju#u@Jr=**hN|0U{%6A)d^$RMZ);VxDKCrCib zHNJaFC>d*x0j&x}nuUlf*7-659T|P2UH3B%$2V27`u@Dv#V^htt!X_82$v6B8&2{C zg7(Z)x1rPSWLH!y$5j6?Kr)N$zO5FS45i7)q)iCWoG{r`VSiq$3U3@yxjmaz(5s~< zZ%600(BMc4W8+osX`AQ@g@sf?Culx#HNvRo{$XP^&wfp zXa-1OHF*(-K}RLxDKd%k!nIuNv)IpyEmkatW>QJUk;{GuX_ckvBiY5K`Hq9nnH9bC zS#gm$b20M-o7*4E3>|lhoyQo)zPj)Vk0kyq$`Kk<*OM8sNN|bj7StD>)4z%g>}3 zEd;zNSJG|Ug2qB6a^4wxrb&+wKH(TInOrx+W)G+`hBdD7h?$;Z{^V-Y0HM1$6EMc{-H-Q0rH_C%Y{s+<5wKnIY3-a}fxF=T?mprPI? z+M&eL)He_|{ak`==;?q4>SUk_t;f39OT%AGP1pT(^C25R=#;UCexS7TfrzjO(V zM(dbHUxwRk<|H^OZOyL``@nHGW3^nwjqO zR;aajUU90>`dn7Oa&asvIkYCton+`aWg9u`#whMQdF!C^IFqO< z=!{Y|S))*@=vzDP@#~e`dJuoDORIX{LYYUd0KBZf+>@TKvO*LM%CK5m@_I*GUUO;e zqI;?(ib%4N=FNRyp$ocYYLSx;30g;^Y))Eo9`?C#gT-_D@2TNz2_ELgorPmKlR2x zMF%DC%f*k44R3!Jcz>L-|D#DuHW6N%B=s=T!1o(n|8IZ#5>E1gP;aUDc&zVtUH)%B z?AK5H^TqP|VQ@r#*G&bf>VNyBe|_&Y7Z^Nli3(r)zkSm0=Q|0H{h!bKpKs?s>-WzF z`ET1N`9J&Re?Q3o|L>PC*tUf}-g`tKD91wYbEC{GUrFCpakt5@H~Tm~e*0I5T0M{T z{WA*yDK?)G0hW8~4bF_q?qGR=%NUghKdfh&U#5>0bAEp-_Od+q=FfwL0BNq(hTFt( z+ihC*Y9W%X{Kpyp^{L1w^%6f_xf@b4W+v$}dspn+!&7EJA?QEUDVU)2yj63r?IbbBZ zKHsmgK|l+DuUq5ud*$1`O@%!^WOJHX($g3e$MAUbcfJ?_hMTADH<*4z3B0;Hb?0oA z=bVwsO_w?T2qhAEF85-|B6Z&36#4D)&qg9cH8nS6_PWU|yXzEhv<$!cw-9Yf4IKn0 zoKmbc+u-(6EGYPewYApKb%|OA)!rT*b~Y^kviJXbfDE_8SuzGtCHOkzq0Eavrji_- zM}Oqu=F=^>j(AS-IU**lZu3EhjzFm~Xe3OdhY^;iO)a#Pb zTU3lJkw^XzzsR}HkbvLb#Z758OLpV>?9U%#b6Kjd{|sLE=P5G;4^!A7M$ah3z-`S@ zXlMWfwc~9Z@&LggI>`=(rhBHS5(Xr$fX4o;nA98Y<{j_RP>BTl?HwEn&1Vt&Aw1pL zVxjV*UZu|ESJEqbCxqK$__^RIrv)+(ql<`1Q(MfaGG|K?N%f>``KE=iEU4ShM9@)J z+GDzynDnzT6x!LZ*F5Lyr&xGkP9$@15d zTe=14GMw9nP86Qp$`vKeO&@SMw0?eeYR~5Z*cX=;>WLo8iNhA0fQl^&6kPlgNkfAi zli>Xq`p`L4%T1CC`^T8GI40jFla;B6&FKF2mHdut8fYq8yTj8L!qPFs=EM3mjA{a@ zn4@t;dTJ-QTUt(k$JqS!!>hE*_^r^DTWK7||HL?>7tzGmMM9WiW; zHh9l>0x`_~$v{1svgLPL<@2q1ja9-8VL+CN!8qXV{}P6ekz}{toa&BR? zI`$A{-{CE$7xa9!D66Y~Us`afMj&f{r#ySR@yOS;jsXVVo{63;v@2I0uuXq{@zO(w zua@3UiAL<_m(5#fMn;o^D3yvx$in_S_^%}xr?}NiYl=|HyN>%dgEGpv5B9(+uc!0u zg^`?Hkh`N?_k=1M@rGf85zvT?mGax-J`sgn91=bUho*_Sc(tv~B1t$*ECVLDFGS;_ zg7(V-PEITbdCM6)bfrwv`cu$Zsph|Wx4rRd?W3IU=35+JCJCtq?X8~G(afxLKJqj@ z5vd>B>A5(ie5;LU!W)O@S9~^}UD>mb&-VNwue-kOmo}41C8U!PfWnJDIcaW6`)@g+ z7kc+~ZV!>R4>YuqbHChJn?dG|l1lyc{EtHQ&)dFh_z^|P0yDS~vz@tM=|=;t-BJqD-CfeDbbkv^ zJm-GDU;Nl?SnIlGj9Ft2C0QVSW2Vewgkzjfu4Toa8~>y~mPy7tn#VA=J)3KPLNLHE zQG>v!Xmz-F_3{tYnoFhmkw{!;nIvtF#H_q;R`26e*|gYBJE>Q97kQPSl2Z}3IG7pn z|6|Jh-XgKU8bm1ww;%feOev1Q3Ypv9gObD?pz%&oeUbb1OS$?#GV52~`Qed0xX)5LA4IMD+CU%TOA^y8paRaR&hE5AeCBiC(DI`@IOAx+n3>zL1Jt zSPTt(rskSvRn+{S*Uw&r#Kv6)3h$3efnp(+I7w=9SyqR2pv6a%*l&Iv`X8PSwHFa9 z+hF^WEDpJ4fu5_9z@{>Z%v%%l)9YDFh4RC(1t*G%mG;8B>lg-qE;m~zd;4ExoiqBS z>6J^MJ{+B5M$`Z}<72gefTtV3x8pV3WP1eJKK^a<$fFm^M# zC*uETf91U#SaH2zmUUaEDa`VvG|r6sSzFGt&NRGe#na<$pe(XdUMTjL)!d-?nwnS1 zmP5kFRO~a-b`j=i%yl~8%ZkbDb;QRyCXkJeG!jOoCR1huN`FbilLyqKeUzRTo8vg1)8#Surr^K+5MB@<2X zqwSgL{*5p8Mct)!RODmkxPDd?d9fd_Lb6uZXyGGCcE)#kY?32}51(D%l@5Wx)SSKm$`$Dwi?OG)3)oR);?{kZ6u6?z75-Ky_u#qEalP>1kQRZ!|yf~@g zdfl*86^ac5IyZ#*ONlHg&`@@^W1Mg`@+*Bv%G{%}%O><6Eq~(uB)rr2 zZg`NbVkIese@pO%GE+dGU9XQwhw$rVy-Ajt5xON#Zswz)W~GRD8U9jAfQbFLV;x+4 zIaZE~uBC{`z0HPDb^amvP#BrbLp%9Bthpt+;+Rr;KX@=KpYqUo8+;C%vC@;QR_ySAGKB^B1Ul zK;J|Xq1$rJ76E~z{~!300?E6hAkhaG9~6-m;O~m*`eroqVJ_WuRi@3Mh-=fDpTtJM zTww+LM)c5i#NT)IKs}I_khF+sDvCG*Zk{EG!KrAPlDr{+VmoxB(&x{ z=1P3&W=K;?5;a9zZ19df z1G8!IFKyM#+bqYUFQBpF97Bcw<=XwC>DJ+%tmQ}^&yT3mS3XVsa(_tomc86bTd4+T zD0_S!MSWTr;YGSxK;}n!x^-J;8&SAedf%nyQOB~kGSXN>eeZd3)`umtAJtP>q9-NO zW?6UAuKd{0;J0!F^whjOilQ0h29f$hh=B})-p7@*dYcbX{IU${y&C6j1WnoLPit9| zCju%tNuRq%`9072Azkm5zWIBv(miIdg4^&L;G!7di%}`VTsRhug$OR%8+Xpz5HFi1 zh+ZEVP~0mS_+EL6JRd<&Afbf|#2Rn3W3{$-c+8Hp2p;`(bFnqTGG+hNEa$s)vA4S1 z4tP#Gp}2hjYOHH7V(pVzq}_DnbImJ?hdl4q@0&hQA;=T_!;l0#yV@Jz1UVM(#^y6| z+krClW4M7fJr|CybKJ#vdf|)=usp59>kzyaKH?KB$a4$uG5u6kH{#MKeZeWhTS$Az zb;FVSJ~&`kmRXJzffc)|r;mcJZ{(po_c>gKi4JFnZ0{ekLLJ#pzIKfF&J4n`tNyn>Zh24mRuFrr zrbo;cC`St(cWvFoA>&yq%Ln7n=mti_W)~WvQOtW>Len_+?S_7$NU(*@PX`VNHY!3^ zhaq*RZzK7l2o7K2Rtcp$Mah`E)6aV#?e>{3AC6Ff5 zu0@VL<(ShU2j-wIWbc5b?ZQAiYL;@j;UZ9x=zZFp1Yiw`FEAForEc(t4^~(by}E0C zx@2VQ)&59LC&v|&a$C2)6v*zZ750sV|azrWTR2eKj07xXU}45uTp*^TaRVz^6dvM zAz{rZe%<1iJl>7Fiwt#JoAMfmSF^rm?8p6SW>Wtu z=h7#;Q$e}xq8--e5d{rcSrFsdECm(3=xqTk@I5TM^2ly~_-`~)oCNqu%Yj+h^2mA zkYbJfK%ahbpDNl1oSxhLO2nC;kbKp0l+Q4(!J5ig;?O@p0 z?^Ivb@NSfw{Jvwp2ROrI-50KjWMJC?$$cimU!uDS&EKw+n)=}G)Re_p@eEgR0js@e z>t(6WWI3GO{IJ+MjEb!-3wk_nBb?GVG2LN^b3f-$zSI4~jaCg=**a=|5z9H-`?OluP z(I0GAeawwB);hxXQ~5TxX=`v0qE@$NQ$F@%>ea8ZV2l{|%$ToY$W4;D;27#E;3^_i zR+tJR1@*VZL{Z#-O)oP5hLESGuoj4f^PX|h#g%$#TH(8?{35;~Bu zz>xDlp;a7YFELN#@_+ap=%FtPH6{9PhP?O(h)>6|o|K{Ncz5Kr!MR1S$d=dZ`ab&= zd{fiBhf+lib5{XLsmvX*!wfdt<|5z2P7e>4AKribD*zR4gD=l}7ILXcvMrm!x${-6 zVF!obmu87|05k+;&Tx0>*9;HzG6E z`fK`G(mGPeH?rF!Z{p-Vqxrs@cPZEJwEE?Jk$}scFO5_L%~F$Ma~rfz9(-mAZ~&~? zTZhc3_dEjT359`a9f4=53ZF)xFxyLX2{4@34#Am^TZBec;Qxg-?&YMg^wcKAxmvxM@q`i;4 z#NHH~qtRSW!5?KWerRS1#!uQ#C|@qCC9Q^@XRXhv2jMZgnI5S6dXXG@kmhk+Pv*_y zXnDVzbUFGnzYmnr;voT!1u&=Z4KQ6l2(Tx~My#$NKxlj9{4p2se&=>g7B+Z$ z)c9j#s22@KJO$lcV?QwKji24X>+%6Ew1m53cDm*ju#eb47wNPR63U_;_btS?vq+30 z8@~H?quT{R=f$a-m`B?o8#%zs9Zw~}lvr^^(KB5T7uHtJwS(@!rH48-Yb2Sl$d5Jg z0WR+Uvg89#hzxm!{~2g#`6CwasybcZYGF2DEJTPg3kdj)7aVQExcZ;V4%hWHMeT+Q z=I{!QFt5-R`aB2avZ!2j-V=MR$K>IDNVNFN3YF4U17&#Qx~8PSmobnl@24K>#e+wn zA!BeQKZaBuZR5;ut46(Wjb}pw2}1f$QrLgJGD$4`x`jqA=V~^? zj4i0hC#Pv%d699J*XOW%nFD`4V|82>m4G6Hy_t3qa?(FASK*n-NJ zRR&R1Zl!wocDR)wgHtWWqS%AZ=9?wb?oV?Asy*c$D%PbehM<%3_|@Tz~584I7%dhyc=h z1L?w*&zaKoQ6D4+P4PIdQIQk-@^cW_F8X=C_*hdw8F zE>+(7o&me6X~`v{hxHQ9JAlmHQFg{^{w(ggP|xRs71_SyDTk+7ojRVIqHazhT(j-! zB(JoiXD44mWIB&?2C2P}%?FbwAs@wYNKeMP!K_KShm}PkAoP=Ka4EW~U1yv=5uei$ z8%l2S?c^^TvIIg{DP$^-^Bs$(UGLs>0kASQ1;u|#)Z?%aC&mpBG4KC2l_V6|jCg5O z?|-*l{$~HQ6O%LL=O3^@K7;RE(k=GD^o{MEskvKTMDM9QM;qjuzu#FwzZy39M>5e& zIYHTMkigC%|07^nh9`BQ`Rz-Jb(DYg&kateep=ldoKNw(>+zXNpdCT|hC0Iv$LF>@ zis;Xz3IdbnbLgiKvGv&LYMPk^Z~pm?v%McMj5Y{V5KIQ*DcP*&S?~bzXU(#%#(c}4 zS~Bj7+QjvX?=v*9bW|e;20TLX0ZwXuWvrzca6XG=9;Zb4&;3{}TGEq4#^Snz%IO zzN1K-px&Iro6QLb2;Ot!Dm8-S7`apadcu2>J1Tp9aP0P|hGh&;I=%cg5>b7C5zNpx zQ4T1C#BV!oCmsk1gV9H0>s^@_*-dIc>iLw2a2|h~Qf{hT9P0jUy(N6;%3h!wIar#w zsim>ENNF_=Q_>l4rqqrIg0EXJrhXv1y$9#7)G_OjWV*gfoBfpSJb@i^2OgZ#pclC^ zphu#yw31YS>Q1ue|CSKVC;eZGt^?7E%cv23{P$aS;Zzr09>eNLWVtrgz)jt$wnYh~ zgyyfL6x2u54qGE*SmKmDeSVz1d!Z@$Bf=c$Qpm(7a0|+Bafi*vU>ECaTb9mk7ZDY} z$cxW&3&y%JSJS_O7!`3N)y)044&u>@!P3J0)0vjmmg^n$!!7O^lKpK5`GAY`L zy|~3Nh!|H+3s1D2HNOF0&DR_F4Q+|PmCVIBcQNsW6ojDJ0VG>-XXy7pp0F~bzA z^UkP^t$>-)9R*DR9LjY1M_r0{My($`#KyE$;?auT{0fKZv=X&Q>C=<;+f50D*z>s3 z18h$Z+RqYDfx8Jsm(uDQYkfMITeCYp-529GWQ1;L&@KJE3OT|0;BUM|x%4rxWVJmF z%3;Nm9S){}LyuDmw_GPm16fm>9(0&1kjIE%l5-_ht=J|$gB|4aNf|5<{Ml@aR=f69 z&eIjyf2{{LaPl@0L`#3wbb(6baDB;$2rFS5bp=<2^5VAXX1w4^77@P`RDj-%h_b?( z=VC+Z+FMcwTmpLm1Wh#ifpDH$>upG_Rzp8nsO0|e!h*N2bv9nZ7OG?vSnU$s&8f7y zoG`AmT_k4e!rh!6?$6U80Y`>L9XrdU@h$>K)+09h9k+K{D9l!kVQs0 zxNPRFu+(1BW~m#tV>Is;Q;;0J;J0ee-TJUUvhQ5_*;&RdZgk&vvcSo0e_6W9$`_iU zJ)~0P`-hd;_|?0)qI-Sa7)x>eAs~dFE)w>brm?tNhpHg~!f0o7Buwq(j9FgAzSGYT zP-$SS13R25S&hzy9P{;&!%E#a?dyz1`cE(?)}}$B1e0Y90geYQ*HryLP{4*M=LOrAVgE@f@}ERGS*(WYU3@-G?ObpYbT8KMg>R##z5ZrdKV#cB@{{%OKTGw4(_?B0WsI( z8eA$CJ*ACb7ZISRt^x7|5Rdaa_1ICz2Df6i%Gajew{~v3uY?|S_^){ST<7OFviwV}2plFokST7& zh@AQRFoj``_OD=&deXVZe9r_bbS)dLYSYb!lJ9l>v}7eF_Wh~%kAI}D@zSZXJ;P?f zh>H$nt~NP@T@-$KHseA(J^|BzCU%}C$$^0vxQxSlCq6sPq%qWAme^)`8HmWB!>MA* z_#g#F8l8Y;z&n<3&XgZZDxhyrtLkWar9U^?&Yr?01?4U9pzeo#R%a`&JJ1L&F~X>v zu9VU+NwTtc2;1ROz-G+awwr8FQLvG2F8r~PJoHd7RX-uig*R{Jt(7+?2Z6{v}=tM>1Kh6(JpP#EVnMy>&>Kk%g z@iQkXg#y-aW@T7zEYP5#oP6X0qeo|*7?CP=cFjb(RGqAZ4|8>r_D@qgyeU@7l0RlN zEGg;QZs8X_WarqHciLEA&&H2Gub_{{{2i$LaTVIM>m7XKgOQqqf2lLD>?~DypiyJn zJ4>z2=*^X! zS3Mq|E=6}$1PD7~l`&y@3|u7i>gr-~tU87;lU0=-At6-8&X=mMM|9<_MNdl^ANvO- zPkZf;sCvJZ?V)JY-{*(cslFhS{c&Rv_Y?2YUwJxUu_~KH$JW=fN=+@W_P0#UWjJCB z;zIHD0?s8(ICo`sxDHe|&MY2r6Z9r~K(6w^V6$)fz|3lvqo$ z7$Pk~1FEBF_6_X;Xhcff#0IA}zIed4KL`v~aLQEr~8|Yb&EDC`I0|v-Bq+f+YFC-UfU* z4g~t42I;1Rsl3=IW3W%aI~WfgL#)LmpVz(XIcFc+x2jwON-#YaqXW~A-c#>}_|NSB z)M-O@&a6Mr)AK9mH|x9m5EwoobZ^x=m+S^j;KwNb=~mQhZUx&2;=|KmKqAjDJoaE( zTk&)D4&l_WiFl7i?x&d|2S!xvEVK}dusIVxIyUBEzUDdqhD~a8uMJk_L+=sRB#D$y zXEEWa>^bQB#U>!(@SCaMwY+NRGt0v+?eQvi6v2=*)bPo<2V;c)BlNR=fY2Yl8qsk0 zSLjWkfzr85jDXgMxEs1Gz6e6>0Y)OYLxoFN%ngZX2IWm8q%lqDD)rC?{SXj_T;e4u zjKro~%RBV&NOWmJspkx5(|HW^NW@jyM1Ar&?0&IwK61)myd>0I{8A%rChi^h83Q&BJQisQrH?!!%>>F%+Hc^cI6m55 z45`zMqePlMlk>A1@CUe_bP0fBP&60V1fsU96-=WLhTU7 zEhDirZ?p?z!p6t)L@`K#=#nl|cp`QEefW2zP;>EhM9cac&gN-zt=m)}WOsy7Pq@gqa!}<1on~`kHfgWBR-Km;9|U zYf?h%ReXtTB&FL%UaMWuBNV4&#@4>g$fyat7siagpr3+Lnk{9O?im!(>x7C+NUSwb zgH+;PcD=71((OzVa)Pdu)b~2cMUE1(jwrazCeopi2YXh|-SNo>eh8RjZm%1w*E{f} zSyH)_BA}DcrQ$ci`Oy)KwI51&?70#BIh8LW)@}tbqOSOmt?Fhc?PG&x^5Ec(?+6Fa zDXZQ4d+_Iz=OvAEzCd_1KMg5o@F%&tU|kDKg;GV#GZu?(6N$EJ3-=+pC&OYNm=GRI zZPE<8ML5rq5!$BXq47~P&d!y9J@_!A+PYtp5KPxN>F7~eW0Junsb zAn?O~{`F&4L*)NYasi@8lI2$)J4*kR+#!I47@q*tt*$?u< zKO~+UBKHelzI#ov%pfBk=W`%NQ(I$NRzRScv`afEdifL=wNI9hAJ(FZ_>C1_R_*HZ zJb6IlszA%F$3YlP!>7jXj_~0~$Ji7B0du z`uaH|gWw~GJM(xEXD#~A%aoD5n!qL&LYLy!iYmOguJiMu7rJL~Lf#?RmX@V~4`=!i z_{E4wu?|;5NOao2RwRb4JkO_p7);h4Gs%p}33Ex}DV)`h9oQvF(t2B`W6) zTM#T;y&@AL$@8<=(4jz(`w;o^Oesc)a$>qkGD%lFup(Khpwqh8Bh%8C_DUSHP$sFy zcF=0D21M~&R81goH3?c;jB;BvMpV@=r;~)jfQ{ceE+GgGMIFP#n*V~{pLkj@STGn| zD<-(-BT6DY`mCmv(@xg8zSEnq364z>v7i2P%u>#Y z=W)H1XhL8u#pNFirLRGnP4xYGdB_V++4f@(TiTXldBPVy1rf~i*B=yi_7jKYsbk&o z!h<)7c3^nnci0bbaPMGiKMZQpxysbgBqJ(a=jhcTX8mlnzhQBLr$QjZD%=VS zS;>qRFjtrvOyR}AFUa>B)V8%=R^9*#*F*i|xmOI9%nvE@P zy5B)ytLTg=orxSJ7UD31e`>iAEuG8!QdUH_jLvnBo(@4ok69LfJ1EaS>`sDHcR`IU zoids$pD;q>lzh{#bo8D%FqfJZapqog6p=1J9F|rTBkZH|?cp~K`;WK*QeO;iv9AnL zL`&O-GF)YXH2!~5%LdOa()^m{DgOV=0=Y0&YrMgJ4>y-oHLGgC#atY(LeGalf4h~q z1YEnXxo`7BVoG;S0BSo#-7=YQOApFbvIUQkceCu_;*{(2r&4M+wa_c2iVeQLoxRF$ zi*e%0l}e5jjCttd6~#+2;gqE?a)?PS#ZV>nd7zEydFvEO;dZh6Y_iYuT^e%97U1H> zTn%|VvUD@N1}o(R3?w~HBxz~m&(ax_S3U{+672ec+Wq3Ls38m7xjPJh)Mm6N-R{`c zINn3h7l`F>8L*CkCnq5^B-gr|^&P;e9Rsl+(frAt^H~z&S+{pVUx3Yf38vSt7-B$pQ!L`M`wR~N*23? z>tHG(g!VfLvr(AsbssV~E8poPxpcyV7B0=G4;dblC~iWi@n=Y`yX$3)Z=9a~g7ZN9 zhBn6K9&CX)g%A|zO(?k!G4DAXFZddZO1s>|0ax;| zAP1UV2ptsv_xr=;ptLf5zO;UboYt>W-)Y2z#KR+BgOzyDQ*_{s%LKX2f7KW*+gjn? zwuDS!(uSpA@^HVx;~9F8jJZz@*>k9R6FBC#9rM4D-2ot`njzna|6>*yYT~EHQbZ7` z<|<)Kbe7j}q^f>uv6-5%nIT?|YgzT%B0(}@@q`{QZMF2+t2FB|h43NhwKE9T& zr`0N)*N%@xrujw9r!<|k&uux>0YR_VLEwQ+X-ntk5=nLDnD_5Rzh~Z!vm4iQ6m55~{QYA&XKEHbwLNRlF#x=!B2%llHlv zR~PYHuzNIv*w*Vum=b1X-|tdR0SC);3?VM9cPNW--%T-9DH)QxmDzbejsepF6`{(UQsrDNC-e|-~9tSUc$n^4~-!NkjbH(%_^RMgEJb)ftI>%#CI(cYa*p{ zTLEx;T%nAGbW>0hL7NKF%qz1Pu`UR+`3E^h$|!VxRBQ?ZbtA8}JO(^uy^&jJwW#7* zD3%&0ZB_fS5q;+@iRURjED|J$CRyYz8k zA#x?Gq8R=g!%|%Q8NB*#McMEIlTnZlLV;l_!e`8oA`+&$TKnsNa}Iyxbp9IN+ELwh zZEG9uUwuCUL&qcS(m%q66c7Xw^o+_NFa+Hl24xQlXu|KKZ<-hy@4U(_9(@+*0I>a8_3I)fGNYlOoacUl9E%_S?>79GFv{bl@* z&>$_Zi`EZQTcDsx7vgIzJw*%9lP}tg(g)ToCZ^0%h(SrRPP6gRTDQyoBRG3XDHcU` z1}5zoC^>}OL96v6bRbZgS5D-t9x)FOI^ZW+G1+?ELpSQb0Uok_HLDwB)fhTIYnF<*z9(3hz6$)#_ z*=5vn?!@t=FqyyJFWqgkb@6qnVo+EFd;>D^3r>>x49pnWu>fyZZLSaiSS zr)X7TULCkT+rEY2({7;Aby*rl|IV-cv(S1q8A+>RGLPp6oy%1DcJfkm=l^rQRM1Is z@8{|(ng0W`?jaz`nG1*#3e0&0Z5yj z$5LG-z<)bhDIq+YOO6&Wh4ei(P{p7CxK&)3Y z30>M!pWzc!@in<=VS-^$G_+UoRh*`k+k)e9GaU=F%xau>0n#qQ5M@RmQkvWEyBLw9($964d*z*mRPC{SwMIe@X1&%>Sy7Wr>LPeT1#M+w z@o3tiCt2jMOMt&WQWhjG)OQ2_Tjs9^{#SAdC4p=i;q#jtlz-hCUxe`O!aKh%`YAV- z!jSht!r)qk+AzeN#VaZo`2#+9QXGal65;?3i@KRTSq2mkNe1eNVcs1vc-|J`Ze@%2w$h$Rmh|gjRSe z`n^kzq)nI{W{tO@18Ilth(=aC4bvsb*t>-)WG*U0I-ke>j{E0CU-Dw}oi7%`_qox> z_}@UR6h2?ou}ndajh}$srSzauwOOyzQkxRKpiNc`=Hc>``Cg7wg(5hA6{)QFbX`6W zzNHZbL$&y}n)kh00drd=!v_N}K`p$jWDQY3!t~ZpItqqTs2DJg-+qvl2oE=_8w8s2 z;i+(?Ba)=qAw)Xu>!talTj8V+sb0&rr_aG)Ty!Dlmq)XJCKI=-#kQeKF{*E0FJ?4` zttilVgz96kD&9^p{OJ+VXkQ^^*BPHEi@+GCLQh%KaAjORy<%t+q9x^oX?vho4#|if zxP-;i=;=Ar!9KPH3T^Z8pp78l4{zU>iTfbV(NDk@mvPr`P6IhqTx3XXP1l}qq_E*F% z`g}qDT0IZ^RZQlt!Qfpmfc~vXjAwiS_)XMA1vyukB_Ys^CiN||F|RUd%ZO#%eKPn5 zaZQOkyffQ*Nb70Cm$!cIe_4GvwDCE$({`=&cCUV!`7pCQ{{|O%FjYo_`+{W>b_D_D z1(96&*OZ$2boSv_(a4hERN@Uz621#UvVoJs19tQvvEdjQGWc_zHXOBl)j+NYRe>@P zilHp?c6PZs`G}3WrldFKmJtnk5f!7KB13YOrUYl+?x=RYV8s6uG4c5WAc_yN&2IXi zvctSPbbOAi=|Kz^Z#Wia;wG9IZI6}=bDDFF=6*(U_A4Ow-ukMAgH^=PEWE=bVRno; zcKDlRJ!J$X_7sA3-t@bo!a=0QG?RJph4(dbAMJ`zwZwJN4Hd;RLitV-s~3MOGL!zc zKIp|QV>V{hvc z%EH;jJJ<445MMQQhxDK8oDKO@F6DVzSy4ttvZ4sBOpHlhF2+y9APc^4?%U??V<%aK zZ8~2hS~>cVlS`okhu&xuJHdDUCok;^0eKK5X;>r|-zO2wsHPxT+9xJOrRmR|AV5Q* zCo}aW0r8`l3GNB#^$!X+Hgg0d)o*17?S&{m8x&!L`1)`u2{4t28c#7OW2Hncd(bVU z$FlT!T4$h1`b~kR+B4i{8aKG7>^nr*x#@Q zR0jUd)9cHkot5__bsYr!t8HyKehEIT14c10jx3rV!nx`7+i54Og-iGX^%?14Hoj&h zDXn4AdWKxki+J=FpS~5#&+)jEW`s{o!Pc@RibsQFLhQvVN>zKRrg#a2W&eYeq! zTx&m+JKI(RLn*?kp@cqZCWX+rhw>AOsOdFiL;+8_7A^uEkEU~iVfa7IwJdm9pVWmz+%wxc1bzOSpfR5k8|ZWfeHWNb^d8&>QYQ(M>& z@Z0kr!}3zNyCMP1%}KXV+G*`Sfl9S0biQ$(f}G=}j3Oiz4imK1g!AhqMY;~q9*Abi zkoG|Q_rQ~MVAixBV!Y_ydNtBE2ZK~aQSuxe;&*$6ED>5*m2ycH^nkB8VFY=#{27@B z4E@~Go_w|(bU#$WinGa#v-Ufi3!rmU6T%rN%IJ1LUj~1uC6!am$fbN-#(K9 z!x|z}Nj?|yD%ojZix;|88}9gET7`yzy2hY=4|>C8@2HbH>wbCn2-x7}D(5}GPvGYr zDcqwsz-pT%RvwZ!#vGlIY4lRGhbJ-Spib$-T6wE51 zI5HNfNEAR2-^r>=Wa%%YdOV)-JvNp}^DOrS8vs|nGT}COW&IbN)sLWo*NoM2? z-qOqO{6}x@Uy`c#tk;bH>dlhBu*|oDhl{DCFW#INA=1IY)mZJA@TJ*1he!41Xz5~< z?&4P!*vjqFT2eG3&SFxm#T`N6*rDG}D#JIcBWo1}5DHS>DA9m&FuG+BkHu*MdY{xn zMJNlC<_l~$1wrfRp=#*mJS_XiNPUF;%6I6nxh`*-cEyh6p?64Ijahjkdd;auwX7nR ziW#qy!@0Tmena`;%2jh@erc;;HhfwX6eZcv{vD>^^=L)Gg&N?;lwC^Wq{9A1t!?#9W#St<(2)~=tH&S=o>495&AHFhnSJ} z|IOrgUA>sqE29(ezh+i3E=Z(0IoqmP9iLZ0#D+BLAqsi{maC}K zjB1t)Ux)WGhIGN){d}5aevDu7eSW-(TDyt5ii`2;k&uwEb0AzD+>s7sVO*Huc29FgmI3YSob@Xm(qVtDS=-iI*BZh_0fqD z4*U6=5@YDjAd@=PeQ%t!4Oo+uT36-p&G)hTY4|S<(=S68PE6)McP4oj=PyuExxlrq z+gtArpDAh-(rdU?#cGyn;|L6`6y6f43|nqJDOFTMktx7s!ij=5u)+5bdqk|8kChP# zb!7H;o=#B;o12c1kj_00$Bs)>GgO>aCllskCHo=YMTr(zTB>0f6}mTvOFJQe#6ve3 z+X*^uf4}?{wLun5YN}@krw?iaD^AnKW`B{=v(eKnk7LOM2`w-j?+*Q{k$9<{@6fYx z8{X@7NRM;H=Qp+QWXCyQ=hW)2Xt#Mc-)py!HCk}TFAi(r#^Sk3-8z8LO*x=WAFkyp zli%HO?s)et$^ecFP$U&Tml!!sDJ{Shb}>|2Yl(}*U_v1k6*_Dfk+$MfU;mm;?i*(k zJ%fiCw!|G%ejK>=KQb4BKHu+bi%Q&hdgllqiuo|3_o#M%-}&sREv4ourG~@r_%pP9 z|Gix;@r@sGwK}al|KDZ|$oy-%B`FB0kir3R4QHk@vV=FXYjCXEfhSu`?DV)F8Cl{gKG}t{Mcmjb)jvK5cl(%7R+(%$lTYo|2owv2N#@8T_ya3RP?% zQUUFdiPD6G*OP#{xUj(6ATSTDqtFiYM!5O$3RmZ0TgMO)K;3vhncUHHY2NF$UA$kb&m&=Qe7qrk-twJ)SzNYKNHc5^={l_jtdcrB)_W}T zHSzcw_pvv-4A~9l$e5TWUEl`SY*WQZeufJ(ljAWTB z1tB?A@+q=q&abzqhF23n(R@so&6ZIYj!N!TIXHY+@O>WHQ3*yGv%)Yg~I6 zS*us@+I(}hdfhPx@Xb|HNnC>dzPCmw2z0rD{VCG@_}9omADDi{<@p6#E&I@kM(4}z zMNnVrs7=f^4_n5}NGhmp`8{uS$fF(9)PIt>W6$fEdL;vIqNy-IHXT?Z@>V{t^n0l# zSW2{Ce!Hk#j##vG{`=OU7DPO^{^ws8fhqZIFmn@}{4#QYpN4`c$Ux)a*XXmx&d#;wGhyARl zlE;Cp2Wc8r>tF_g-TU*-$EIg&+dEw{wT-3KD^5O_gXu=Yf=9I5A|p+v9U5r#Uso4X z3QKT;XAp<`TE48I@X9uJmamT0=b*= z{AT6;62k&`fug=2bOOZ<*&do@DRLmIHx~w`OetT4^hohJLUc@R=@QpDcETM^6g$Oq z4?EZe(GvnRYOJ%0#^rt#Jz^STX_*Fp`ElOXrm@KAJN7>SAUhlgx1N-$$9%5pM0hj< zM6p^*_hwM7AB(+#Jy}OpPX|@~w^ZG1yG1?+MMp-&_bG(j_Suc$|LE=!CM1Pf{5vy$ z7js8E$JibjFHA>!p7=`B?ffS{t9qOY;>-m5(wiiX;)KwK9z~7~@@TRPn)0gZL8ub+ zUh`t=tRn>uB8r^53!9de;v>1lP%ar{Ib-csre3|dTRvmLq_&^S0sv$9IYj6r72fObq;6XV$_-Y1i#Y}93JlV@%T zj#Xf7TjC$AURj&Yy$R*`621*nF7f!FdDpaJH#Rf4zV@`_i*GB2*)rY#ZOr?`Y2&)j zvhN1Z3?11mT%rsI@xfi3M@S4KitMprqg-sY0NVlH9pEz+Sq7xvKVq9mJ6 zgvhT|;X4p^Sn|lR3EL{zV!)=o#vX&pTBSzhRhd(@NvJ`_+DT7S2Ym#@xGY+=-+jRD zcceoELI$*rN9a8{4)RgLuLaq8dN~phsD4p6{eN7YRal$twzXTNKyZo`C%6@NcP$be zic4_{6pB;awMcP?;O_43?i4NV7VJ;g`qo~1|5uJU;UsU~=b2;PV~k$j{t>odkFWvv zwsg0|^6)Rond3ASlbWqtIKKy+ zx1*)iZ`&Wn?CUe{Lo+KsP~YZW*Fm6#U^X4+$Q{ZC6aU#29lwF0{4_k5;cqtB6|&>= z?HaLINTy*Ic)dc=C59!LH`nYZ#M))9R-X*)%A<}aP?_6Y^{bA7n@$1tK+1k);NsE; zXp@nX!}H0S2EAS2SYF1Zet`2()t07*tWqxt7kA`*jbY+WxRn0xi3gszcT%LXsWBZ+S=cH`51^s8&*!S~_J=cUXg($@>pV88x+CX7Ts^4;IC=mHpa1ma$R zjhpiC@Zl5rBX<2xO(g;kJ3o!UL<1U#nfjT`8=FQO zGpj2$aj4Z+*wjyTeX5|GJ6z4d`+eRxHtKUKNXS5`dXHly^ohYCl)tmdC80?b+FfBG z-O|u9qEm7;j-2+zy+U}w7|-n(?svw6){U4V0xFAk0W$k5}so9I_h&p9VR=1P6R5e+|hXQ zPBCscek_C)<>nY4c+eh%#vgR{YI+NYaLKA9F~*&kjg>1ngJ?xvJHH-YaGf!f8&HpY zQIyDz54hT0G{=8slizhKH?<4Ec)w0S|2XnEKYM-d=!haJ zZM%p|YVDPnKH$O5d>H)#^H8**XN`Kp(h3bcPSyVe4L9#%bb`eRTt99|9qb}_yAss> ztX|=+{!5dijn&|MUi62xr03%WAT}7n{NY1gh_x!CSd-kW><2A^ICwgz)MN*lE}|XM zF#Q{FhNLVHKVGS%a{{0Zp^hZagbXQ}{Xod+Sc_J1oLwnS#~W~$<0!u_)g*L#>DJC? zQ2Czt#Mx2V=SL4l426wH%2{x7P)>^Oe)P69beH@;lXd4ZrXls70|P}C>0+I7!ik)Q zK!w|wwN-c!X^fJ*l!(HH==3#q!!`y$`W}UZjF%zb zFgf}Gf2B!c`c_-0Q1gS5>5f^3^-7^b7=~yQp_o>}Pk>$bEx!`I!8r=)@fZClYBoKhU^Vc^XT^v?H5)2$0x->|~# z#JcAZ$o0C#{IXRrVmD6+N&h?Hvvi`{l%*pCx}a9e*_UR98JFz-NWrL#0cUQrT@Yj$0P(#|05Ikxd!Y(CedhteM9yl2_TE{_Z!<+ZNQt@Dac(I@Zo z#BaF``p?zipNC)-+jqAHn_F*nV^IkaOxiDR00A8x98}E|Dy1GvY68^D~Es)GgR8+T``Jeq}mc#Nio|n zC;OfM@py-b!4Yk6x>k^Ig{-*y^w5o_?kkaA$61}N?Oa=ZQXWn<2sf9cfeQxj<7Y&T zT4kI^uKV z_$PEaa`6x@l^iP*%;HVSZkHSqwaoN{7p_AbI#68LgUoFO$s?Mtgq0Q$N0ipO&PwJc z>qSQC(}W0OPW2``OJJBW+Po5Js0hmC5{g8YsgH4GrnRUR;a<=q%DzD&x&xYHWlV2` zrgjnhCDi!fj#kfNhafvw54Ks;avf(JcTBCpyxrGv!vtY|F<9^Dbv$7d7P(Z1CS!~T ztpDI0F~79QUDK&vY^nQZhvY`<$5K}8KBHsQgDQQ@eEbCt8mx}ZC@Bf>hDPJ;3rsgv zR^2~jzPdeTlS0U?6z5;rwH_~^X848g67WeS&>xVs11ipJUpU?g)IDC8#C7xXcY24a ze-4t!ltW4{J4)qzFEdKQdItSS-F(jt{lW0j&tB-+b z7}%Z(@~oPbt!D0*8oj{Ud=Up-eo3`z(!fF0jV?pMVp~f)I!b`w@!%!ONu3Fl+Tv(s+pBIY_%G+4~Y7@C2X-4WP%$u_8 z=-9ZDIXG*%OH&F{E#;f4XB`*=xo(Vz7P{E|#Xa(O2UI`nMHMHlrRH{1N$Q^A33{~% z!_-VsLd#?hT8F)#mnRS6LTXB=|8r)`4g-2i|E=O%e!Q38}#))k2VvLOC!q4@vIh8BRI_`~l$sHFM`p!>K)R-sB!!%$di8;947YHwW z*ECTUiamPn_8fI~A5}RHJz`$JEKww4skFhq4hcWdjI?izhVM^gqPI<1jc|!y7u^{! zEQ|&g+t$0kaMtMC5{|8ht3BTj2+1h)g4#7C*WBhJP^HY9wKV9XWxwsYG0>5Ub zeSs?RQgA?`AhwB?4Zt-4W8I`Q3vpFq#>eoc`uz0g7-u)#wBLOADo+Xh^V6v0Jn}{# z9Ef?r`=6CSVZESvVyWHsnB)e!kM8Ng(aS?a4*b1r6iloO6Tm)BZT`;c;9rE)*gs7h z&5M%C%VTRwORUQnYr;L-b=~ao%}yj|Asdq`@5A)9{v~k!SIB+?rLV7}yNVJ2NN*dw z>>4af3qz(L)qjUIzcq_zc%OeLt;$`*ycobiFPxx$KND8=x1Gvrx-omr5e>ZPdpm=f z<`El7*=!LMP(r$b*k&MWlJ-|YW=jJnx6)!T3r&{^{A`#T_IFhJ(i;?y9zJ6gY#X$O zVgiALh537X4nds$O&H562#3qJavnb$Lh+C%FnycG=dO)aCq&w%q8R6Wb)gi!de z=^e+=7^}Mtz1s(InA@zJm}aGCIKnb9O+Ld|9{_K-`GM3TJ`g>eQUTefK{>5f%yP9L z&N4*W9k=?)rn!>U6#{3M-*BHVaomI&kdx9q{@d_+m30Cgi%)wHeU37bz;qh9h6 z1e7!8565XtjEXC!9N4pg#7%FHM$xla0vHXxsA0Dyn5_Q!KF9aHOLK)9E)V=TBmAuT z*dzQT?y>2MAXe?el$yA866|vyd_sKY8cfXVNLdPjhCnZ^L#tcf@lWKNc-@p3tYL_{ zs<%xQXFEM%&=;GFjf8$x4f(bbrkvTAQuhbi`eP16)I^T0t^wI%TG5f`+&~9_%pxAO zUU?G~G_+;(mreBLJFks9c(%d|L7!GH#7#6?Dl0ID*C2>LVaX3t#7T_0FItqp0a(K> zy8(TTBQ-9U3zdFVQS-xawQZjM1L;4K3@f6234>}Oc8UZ0%n5T`?A4N|CSj`Xm4xcC z@^_;gD}SoCvGddI&nij6G?yh%G!lFTKTAtHEL%i^Jg@>^()Oa~{)nRb_)XmP&|(?@ zWdBWQ{14ryEZT`A_DabZ{=*%s7)D*azPPjO`PW=`g~!^_{9KE;@RRVw9zcC=XeXeLQbr=Hj81}fHtrF4#YI5r0EF=7V?a-+ zLbb%)R2Cbr2AOLKo1Q;4zpQjY`Y{;Gt6(Z&!b*CFPsQ$DDA(mE(9-gX+;;)|8txu`1w!4QwO@Oi$PcBHRqxt8aF8#xfoYaS^(o ziK;w75)4`rZ9M)72N5{aeIhV>2l85et0Vno^Xb;XX%cIg+3kh~d2gZ9I=yre$=sW& z1c_r9!90jA*$37L26n|NwaTWg#xbU-i?!~f9L&;nyqS2A?bYmod~1VJ^Axxj_zFwdbYOI);;zld{)>lw?s*-O$CPI66GT{BmVA zNL@a3E@w)=wwIR~=G@!|J+_GyG8ueallffwJUa2DFtcM}OZs$Y2<3&=!ZFhN1YNuX zZV2~u8wGV290t2@7EDX+g9+xRuR#p~J|G(~#j(T;5r3~2)vqJC1|+bs-sSS*fm!bF zPA%n`xk>({?h+ToZh`rHV(cYT1hfF_KPB%VC$wipJBL_Tl|w~wf|ATVFt{5uWVkEI zKZ^#=%+?8wGm4K+;3no8pjWZ~y@3;fAAmYF*btwNp;{AaLRm4jI(qooL&ll5dE}hI zbo2p(W_f9Imb;maRCKI5_YU&EfsJ4cnL_14QI0&?m^^`S$buo04!T`!ca6|GoCWLKPlHVuo1ksQ zRK2?PG)6HR8rdLU-}6pCCMzJFZjF*!;zWgqGsoQ+EEUC^$+=aw>BP9$uPIf__SQES z)P07?^A-;UbAF%v#cmr>=zd|FT?LIbKk1q^9CJtx;q7G8?&tAyuhcN57&(RCGp#;pj}!`io@>%#2r$E}lmdje+HnoHK{@1}vx@(v z&6EXqQk$RK37+2`VKPkB5XBbCftDiV)M*JxZ^)rq7R2k_r! zdWYp&C^+>w$$#bmiucwvbxdyVWajbdyJdE$hEkwmPV%%pSXQcj&k1}}U|ep@uQ4A@ z1G&xqupln98p0NBH)>Z~<(E}?hvled>+@maYGfCV%N@^rd(zuQCv?$ zfZJ$FVLt9bo54A&dY3_XB{AqoNv(k8h6PI?ZCkQm|&q#jA6-NCt*piXSgm@W z2Zu~hsccS_IRpKuU&5gd*YU`y9Gt1i?afe8mcA?QJ{)GCB|ucVLWs_>SqEf|H`SK> z7D3Ki7*hLxUo@H0>js^^6@*Fikdby{1`^S0_iHbW!F-)1B z;en{GJR33soDKN_eappuGeXjeTE&{P=k>E^eJ_<8q^I$-r*X*D90^$S_f_Vrrz&&z zfA)PI+KwuM*uwW+=*!Ws_tB}x3ON7L75?@}pJaHPYTL5Eyu8DVDYFPApo{e{gQdMJ z7Vf#4RT}%8<8768fRKa-x5hvHGe!r)TG;0L`KW4jRZ^a9Z5|q1#gu-9`yC_^SGX8Z zWW+a?W?kiostpKrw+((EzReA;#B8q#ko*HjF9EO#!w6`TbiXM`pBLURxpI2G_L)3|p)-S;FVuJL<CRE&T9PxajU2+H*;BoaFP6Bo6xs z@hcJdtF6OcG)@~IdfX5AJPp{@)nm!LWI&myRY$};6BEj(B88xcu$IBj5KmntnFn!W zN+4_8aJQwP31dT)jA&ew=mAY!WS*=tq)vscecj7;744A_kt0%`w3fyDJ#I#%`0BO8 zp9+n>8uHk0GrNTAGUPwLh0DJAKqWHk`zR&^KJ`Oi+lE_;_sg z^$!R4()V#`KJ?2N`wuokRT?Y3GJjq*b%>1D)oSxNx@=Qc>4yVX$xNRQ<#dbip^4C> z`CQ?~N`eS0OA{YtI)Rx=R9x1UYHK3|oKeGEJ&t+SQ*yubYT)?;;!F#P1oc0$6Dft+HRJa3I7|+W0w7b z@;-#*aMau_gB?EV>8~l)^Nb61+lx_$I-HAN(S#dZoT9(2d0=rzUlIA2|1_Z`DTE3Z z^?&i)gYA(tyA0dmX*FE%os&X2tqq!i!SH|YarLBcC!}nJ_dFcKA*}a_4Xsp*;V(;> z&)Pge&@BJX49`p1mb>*mPX+zk>ZD{lhQR)(I)lf$1l)_ee;vGybr@t1iBZwXu{_yD zzdqE~RA`r}abA}ng>gF8_=yiTnLBgjp z<@P62>ubOcpe*rA@uvjMWN+tA3sNtc#?)hK*gz45nG)+RwfdrAwJJS2{v<3$Yl2a{ zbrrbruiiqiqcz}f`;9oNWtrI&-V%=byDyN8S8!lIJsWRxPN^zJ{SyjE$5@maHwZdUp80(UYb3UY-L zu*4nFgu@)tYU9?YBA+QC>hp-nfUehVhaH!3_7Ea8R>UYlvA*5>!I{F}l!W@xlUFi; zSDnB9rV$&*+{q|xo;S0hJfpRa3cE9&zicv$Pf!T^SYf~Xvl7N(GlQ67?5-GGipFX5{?N*W-;YlcDZ#r`zkdeUkpSTy&D<0M>lPf%@U2b94Upmrr7iAEAfZh%58 z*^fcnDJeUR7B8@L__5!@(7EC(xj6yIDq~Tj6i=u*0w!+9vTzwcXoaH37FlE^=>XLC zEhIZOStrqP7W;nEHhWevwW4n1xTY-~T0+#A^w+b*&O- zP3GHIG`t+Rk*T<`^XJK-eJ5<>HK8zMQ+A#3DEj1&EmMp1eeaU{2H$CrowCysLLEe6 zXyYPS`ZZNcPV?}xJZxUexNc<~R}!|a$2&5!SRjmg4O^)rdx*c6e`kaDQN!|`_u1WY z>iTto850xtwusqD%TjYUaaW1OcOnZYrIpVb+HgK!v1-)jWo{E*!x0_cb^A3x^R9+@iTcr z=)$8(YQDKH##wVHL?~%O8=C@sO5;2`KB=K0Lmp@>7v>+S%dj>PUU0{Zt3I+rxdGz(x}y4laM!<| z?=2*Ax6iKBaCGlP{}=c%Od^A_kslw#j}z9E`%3A*PNehWxin2xf2knyKP&tfVC(^S zd(%jvLJp#*=B>(Bh7rg8RU9R?o2TzWUrlQtt9m!2vcv0D5gEq=Uq||VAb`56rd|7a07br!O##Qv9B2Bg05$Y1L;|}@p z-|3in$geAgZyN9ip<;B%2i+8|g#2KXWd3R=N0()4n4PA>3}`8#gwF@^_!XDqn61O? zIK>}G9B>b>)2%Ia)|VOisA7lY!w-s{{_L|}WzNDs-kR??WlgdZnz)nbujcA$qSob# z4KTTeVj#QrWJu~Csrf;47^pA$Ua0)MF9|sb5#@~Hg?qs^j;C0M-EtZ&X^F?sye2UK zmIEMPGHUlyE8gzh!#+R#;?4#8ZP7b!ioDSo`#2~<_b%rGx~iQsNAZ|pz19Wef=(li zV7)gxeV66A+dABDte)HakLc)&DxOziG2;zhE|ZR!TYsb4gN4_J5n#2f7L4`#L`Za_ zMEF%v(~|x33lO_4y`!uTvvrtbgLxHDmhbVmY`nz5Oegq$N_3~g0^`a*DfuUbB7WQ# zuf-{M{26V#({|je&FA3^@LoF*HDcf819JO7f!u4CdHsqiUJ5SnH!TpGaS0`WVi!h`u_u^z@<_ zKRM&jYk_b0HyR0KdPm+NS!K&{K~?k3?aUpyh~NQ3G6ddC3AFkUG8(Ceh;dN@BEM_( zGYTP7U!n-((m9YC0F0P=fR6vp`kp5LLCx|vBay&xZ(m7-I^~djPP_v*f3;@;>sZ|f zwhAE9oRX#AS-AK3&weEjyaAe<`1k<15IM=@Xk8V1j*rgU>t=(7cP>N?AL0X`h-_3* z+yN7fB-D4ouN5;KrmJ_b;YYAMNwBedGU=?F{OVEf%)l>-v}YdIk;cM(7qD zA?0^r#0VTKZCN*~jl@Na&Vg)U0ckWT5C;YZY|#Q8m}bN6*|+|V8Eg6+JrDP`8@IMc z1R5O&d0%Zbyj&kHcOfo$)YpsdaMg$#%~9eg8DE+u%QR(4X)rAmB=fRXCP^IMA5gp%r>YwL}dQU=+yOzmfGi8<5q!4=x{;Rb^jm-*qi z+0{xk{o)1(GFRmBL9vi1wt;ZNciUU7b)$+#RDAZkzG#CzqKMs!4Bv^(yrPnHI3yFd z?IVDV3hDC>j>M_rO%uCRQs58MoxPJReb^Bm>-%-ldu^NAj!A zcCD280WON-eXGy;p z$F=hY8hYht_*XF&E2EVs5h>(v#V^Noh?7~u#?H=WJc_lvd0X^WQPq@6>=>}G!Y$kR zK}ZSsjz+oR_PkX^HYuCiuo5OvLVlQ?_VoU#lpJ&{5l)MsitX=9M9GjgMoc|2wErbs zthiG#K42y$fDiiSJS`(&A}bEF38XaT zr>jJX6t#~%%d)vJ24>-gNVM>aD?TJUn4}u7!Q)xyODR4yE1BDXZN%R4X3l1{Ik!8F1&ew+D>M1nS}6E`@|)q_qG z@Q1f?{<$Ku=&_he_ugYLZVt-2v4}dJA*sFD1|xkG!ww@#+hP~i*nAM!XUs&V`!jyU zt@z8N3-&76zE0~h&=GC7JH%||u{3a(4a4d%Azu5SMk1(2jYpRT0bY$u8szN%{4Vuv zs~DEK-`XEWFC?6_u>~sb1l7~Pd(z#{$#B6ak5s@a;f2pIwG-27V_pTke5?mWJ%U-D0V7winY(a0#0`>FRqIZPI6paRQxo!1+nR ze$6bfmL%?P*tmb*fcJ_Xa(Nk0_sjC}#ruit1M#EhK9nbwl7xT`$N219y!nwEUFFGn z(S7OnQJ27Bi0YYQOVzmLxF61HaXhN_Nm@qD;{B3(7<)N&+nRQ973#$sN9}U0Qo$ zxw99a86`;QZ6CJZqme7`TtS>?^K!v&+qrmsPYPs2X9J)K8~ohwk9o5DY*U;J!zS*q z&y>VdKIQhM${VLfH<$ikUR~X?(bA|-2az9At9P{yo^8^678HS8;vgULhB#J+2ok=U zIa10t_!5i2^C6WqTtsKqvpTD_WVS4Pw(>fjRnfIdKdUp^EU>V@3 zzq2bB#3`?8KkG{dh|=cgsU=jKMS?YdPAdx%%rGQ%r!{+G?q=;70O^tuXz)I2iA7H; zV^H(Exl;_w)pk02zne2$NEmT(b)PO*zGn;Yt4si9+l_ai0D7AOc@eu4_H%7VDb!i= zjNvqB@o>D!}#~*iKo$t09zU2`@eh3S#(MztOnNEl5=rV zNX*|><(nj*!$R+239SF*blRZ89OB>~b0jD%O7Q2%Xvl!OBqQJxjA=qqv8V_Em;nHF z<%JO8;tKJvq|TE*k#|74{pAuXG5S79>UXJQ<_!~CbUS+ZZm4h)X41v4AS4p(kfvKe zw)V>RwofoLhEO`+HAQQI_f{}RPJj=NwPpw6y4E-*WJCzUc()br3}du%+}yqzMXtPg zbvtCea9niofghG!Yj0vvy82weDUUABANY9b8RfizpHM^AU0Soic2K%Ywmck&DPOHM zd+BE9dp$0umURC)ge;9-^7@>Nt@(GN z$X-JUR%Q&hk&}eMg8s=%*36PQ;{$j3q$K!18Ure7;;-kVFXE3Iua7>#pP=;pb6VS( z*ICV9X?wvI0&Um6eJ_0R{zk|bgubreaEAc(p4>v)dgm8>&OA1BeOgyxZ>-hceqovy z$FS17ad`Uslm{Ap6p3$reLib|dSTXT1=};crZ%Meaw3cSd>)uz&F)D`PW(5{KEjz+ zX_w?%)o#t|&mStx!e~(bjtbn<^!HEvUH|!-s0bq&$jiz6Qym&%vnw{BV`~`>xPVYK z`mrLYPvN-~4AO0PnIsxorYMqE z;ySAVdP{oh7yWyB<1ol+b*G@K!DbS)8q^{bbSB=4#L_*b|4!dfD9!~M9+Fz`_1NA; zEVVgT;a%tTSD-yWDBAjK)HsfnCaF4mY(Hav9#n%rV4n~$fePS0mJ2drb6cP6-G8>7 zI#-kk-uz<__AL_;agnGq?W4vD09_RY>&r0a?EEYP&3@v2kn+p33-F^2WI?)B0AYTt z!iUmtGGavt`Ec=O*~fVjiFDZvB{OqaEow&F;bR$bRDKHDnv=+^!_|T;k;`<3tBHa}#+ENA^{#hIXMYOIBXE{zxNMJ-XRK8!k}N1(c(3lj{eH$6SQrox2N zBkJ)Aj4E}%>N1)1=URcBb}z5^y{O9@b&Gj64DW=VP(sAo+Fh4$bLj`LQN9#uw{Z}O zf~CZ3JDj>vAT8$a#1eW`T)+aODgo3u__nGMf3S|1vW;I8%nR&f0ZpL?1Vdi4@v4{@6<+ zWHf_;4#3eU?z}W7cRXi@V%%fv?Z0pG<%U#`D)HyCAbN%Ek&w2+``JPvoRDGej)$?| zcbmYSAREb7NX6@N`R69A#3^BWkCm0~s(AzGI~VQkQfR+I8OJWY0%&`-(}d~rbH$Mt z-LZ?43|*rdQ{(E3d2;hy6rQNN7x5f0z9N#XaQoS^(+-`L;Y5;|<9ELn=;T&F3t^(cmN>aol zzM>6jiRNInJ8oF$WX3)X?N$Fxxlxy}HDuNDc5LH@kaEwyU;`1- z)=Q*c_Q6j)WV>}k2-92OA0kHg$B!?0^>1d|xOO`3@m_&XU(23pTP0vmp__UG?OPVL zSO&3+zwl9#*M`AAX52*yxcIN&BG~xS#oiDZJN%*WEFfiU{hKUR|#@KnjyX#8ZZ;>5o?aRBlkR+Fa`=yQtAIvMt(!K z63(*@saNAfJ9w`acuf%zi24YP&VbblvvYJLr%E=BDT>9y2a*W7P{Dvugd&a2Lnewy zgopP{Lo)oUVNZV7tc{?4jPQ(C`$pw{y35!A6G~)8mPX#3gZ)@*iZzWsCsu!Xmqbtn z_fSt8t|(I%_^n?@K8Y!5dZ1EZsA$Q=_NtMU;Xhdb7Wh2uh+e0e&`W4i{Xr($_=xQI z1@EBOw=VJvx_lERiLdqIY2z{2CxZpqct$mFMtcU_l*%IJXH-88*T2p=S&YA#;yzjMd0sdXJadZ{ zyy$(e5rChRQ&~W7vl>dYfezYB=W)on*hLj2Ato-XsJMtG=GX9PpGN@kj;oMeL0t`e zrSz8<9WM*7&BrW`DY39)e+|jZkL?|e9vFZ4EV(W?TyhZT7PFW)c9H>>xTTWGL3QME z3$qoeySL(l8ftCtBm+K1bWxBaj&|SSB=4D%@9F3!e;KDrJn6ht9q#&oC>HC_BWYph zzE+oD?UCrVjI!`*S^hnpNB&yj(+cf~Ss`_4Z(TXUw6dvTl1xdZH+-K{ntTlyrNU79 zdDK0TQCR<}UqED`hO7f79Wi<&pRiunrw~@AVPMyKyDEhgb zB(l(eNKIk`vTa2Yld+s!$Ku68?&r?X)@bjMJ6NsG9{w4K{_%?>__Edf(UTu5Eoz|80t>ghvb+EPfxrfPsFrTsugo9Wfj&3pKJt zgB!AIJq7*ijh2ue5{9d5M7V-XL%d6w33a6EL3LJ!n0_&6bZ{BP{;*&R~1==o6ocO)wYuG)E;zH@vzzpihdz^VsIA}FwXL&!Z+N3rT{JL z7B3vXKS5qMcrMt!SCn@ds>Mo~|h?-zo#L#aVM?1j9~x;Cbe4^Tnt3v$$8@TwKu^)uu*y3eBi!?0%D zo!<8MTRs=X4)td4;t+!#7jz@R=aLRc$zNMUFVvCuQc#XtikiLcvrV{R@p_#3%sx|{ z`XLf7J7mE8SlhndE7tq3q0P|X`B1ZGLmrJyUK}vE5B(+F<_be{Up&6j@w8mK{h9mD zTtihL0EF599Y0s7bel>nO+LLT54pD*vz?SMZXjxRM+-wy2QTEP{R}6nPz$tOLr!F3 z)RIry^ZOi3eus73&9Jk1`DXB=t|ape#yPY-5AJuo^ClPTKpmfWwkE?uQ^2E3tj3(y zCWJ?ld`v5QTC*{!sXQm#?G(7-tNBaS!t#b0S6eGwqr6O-u9iQvCeUVpkiuy6qRJt) zd&p2l@V#3(u$f5G_9R_zUWs*O8kaTl=qz+#GgkRJX8KWAkv!Xgw*zyB&G>0eOxR^? zEh&_+oN*JcXfdWEH4M+}C^P4sx(pS;-ulxXQlQ^R#6I(XgA55^FokFB8Z*|d$nG!n zqdO_zPt-v3RhyjlyCqaLatESGHxgy{p$0g^4M^FB`x=@TRFAE;f9khyJ>~S-`q%QQ z?1#uhl{6DENqvB>R55Is987W7ouvq;@!jRQ66P|_7+WKJ=zu-hhI#)5zo zT123u+gw`WJc)KEfR2`#@o5HH3b9XjB(>*wm%X5)xMUD582V#X8oI&qwwAxs3*#!f z%PUwZ!Y3dAxTJx$*Pu;tzq#Y%gFKi_!;3fkpcJ^Y^BjS@Z1LHaOTa71s%QK_X5P*9 z`_HTy+f^{Ki$0`qQ2i^b+aVprb9BAUU`q$2c+DS9Phcv9!U&| znAO6j3DjT3#_40s{0&KUyg2KP-C7*_Ill&b)DkQvNH$ZV*=-*y02_G{>8Y^kRwZc4lx~+%v8W6iv}lZNakn?%!=RU!%O>(n-VqC5WYl|L{K65Ep()QZkrL z)Oz%)9PhQ0t`mzbwkE&Hc`H)`7^%E{TPH=hLy#y3LI@Hfhp0?MKjMh5P`v$cE8Pn_ z+z#%Ie!-PNHTzCxLH{guKQ)2wGlTB)E@Fo`f4_7BGhhwPS;<{>ptpn*ks^*hn>z<_ zWZW(s-7yU$5QmNElB=f{{S&-2Jt_3Vfsv3t?)^nqmpV5deSs`jpvhjN_=c2v)KTZR zv~CSqEaG4+63P-3XYCjUOZ1^6 zr9xRi&bLlKcF~IxVe8Q6DT0*2Bd2okQ_0m2O-T$#`EC=9A7t3F_yd#!Y-!dJC4{7D zm8UwdNMQh$m>a9!ha&F?oXcu95JKn-uZ<=&6EUoE(2VeYi!^(83ZWiMN%_5?Uxe~Fln8}AWeN8&;1+wL*u zep(u1Zsv-2bA^1H^T-}rn|4z4eO3*0fSLngxs53jUEMu~1)X?|HJxzy(a?VzV zpMQ+e$l{bGKQ;$t+ah}*tTf#YB+v3SMUAVrQIy!0uana+7+ZOLo%*%SM`yMfTQ4vS z3GfQ(CffGfdk=Z>yPoEB46@$EciLcx$kp%vqRh44-;6vVWX*cVtLCqb`DOHz9b$h7 zU1F*^niG=sW|WEa$zl=zuL=}_?byn z_hUra_OuH%Z7V@0qLV4F8ywYMUCHRcLnRU4Xluy!f9TP#aCV|_w+Hd(xKHvB@_({D zj``ulU~(ZQoNE1cU6{oP`Vs~>xjYhw^;u6xOF!noYOa)mprT8#C)W+G8ZbLq8AhZ& z7l8of$_40s%qBX1s&~RID;70fbx{zHiD-qT@Ka^WEPA z<>G^%HLI;_Ruu@OTO><`WHBtw?OlF~+Wj1Nqsq~ytG zG4<)b8eWsClgBfnwHc3^^noQ zy6W5flH!JgK7R!NGCY=kZ`-yEW<>J#MKTtc{vU7zBA!N%z4WF?Z^dw7bYUVeu&`i~ z&1{hGe@NjI2H?5(XB-?HoE|RU4G(*THr_oyD@vG3n(yk!n`_KneUp~z)ysHXb+Vro zoPb*7UVmXY;hnQ$g=)P(7AYr&-c88=x+L--*tmyz>3h64J5$<9y;(+m>M(%sgkZ!R z3kVI3o~#_;KSpe(GFL@2Hp@O;Vg3rqZ)bWLz@mcLGyej59Jd9BH_Xsq-ji$}wjo$v zrhk{I{~))2F|Z-#Y?5nJ6#9ky0EtCfdQFAp_RZ{hTf!DM9i4!`;n8o)uP2FF>^ z*-DWxviG%~8&$toG>emH9}d2ZD^b1gYKk*$6HEQ|`94DDN6I33|G>lS{kM7U(l@H_ z8K<#=8bpkK6a5ijJHP+aWQJ_|&!^Q2*OlX^&)m2`rhUE0Kc7ych9B?GUQAo?TwV9X zZ}Hid?7FuMLHb=;^zfo^;~AAmQj$MJH+vaPk5I$#kMnsye()01FzDLRyEQcOfeD6* zZMD++p<4(1IiPe)x!6q9ks*hV#jZN5d3|R}x1@WPC!$E5G`GRDESw zn{V=U5`w$CyIXO0r&!Sfp-6Ek6u00|oZ=1z3dNnGL5j4v1a~VArAX12-+#Be`(F2z ze0#n;xid3o&Y3fTTq}8hSP;V6zY6v!5Os?jDj1aD|h--lg@62w*0;mKfm2 zjMv{dR3RcSBja!g)2U2-_rqXhihT z{g9nMB2GhUzixLKygnoU0yro8l*$|aUdsIgV25fc+7j6N%An?buneI0mex`77O$9J zn>YDZaN#tQbJLiJYOq+DG;M=t%KCWE3%(V#`rBAi zF$C>nNZu<0xL(fIDx_l$(O7Q`yMd$h^vl`V7cng=c@IFGJ)U6I$|apVn)Zdo5I$s7 z*pU}H0B53fLl~osCyh)Cesr9O%?L^L{iUt#6%PG4D#{)JgWs~s>%d&vxW@$!np&&4 zZ*el>9E7_8wX^7lC%y38dT9b)E}PGfJDUA8DD&Kt*TlB$9dIBqLykxp?) z#DW{=5FHuM=4>7i;G?cj$`A>*b&ZdhZ%ul4>5(Y6mIQ-ZpVu-1>ryLTGef(sC}A?; z-zOv-sP@Qi#psn6aA|h0K`~nE93O_S)DQGDs=u0a=-p7N)ja3~#t_uij zh-sPX`$nz;a}E4sR*Ol!#KY~q!Ev@F^|-Z<9Jr1QAE>gjbzT7dbH=}c;FWOdov(zy zj;Z>svP>Di-4wULd06$6Zs5B{LI^yb*q-a;{NLZ?tFbd3pZPm+5be8*%SlPz@+5in zxz{S^7rZGPhZIek-1H5e|0wl+TIIZm?FbuZ!hZrvUVL2=nq~>epAE8ELNj;DeEUfE z7$tyq3eX(;o%i*G|F9wZ9FsoRoJK?R@=V5lV{p8FbatGp#H6-mt#|L<eChkyY4W=;rM#3C4A1Mrs|H=@Eqw47VxIEz$&jo$sr1nmZ>jz*N0!ZER? zIita?J|uQ+>=ooR&^4RNzG5YOUxn8EDLUxnQ?d%h;PF+RLT_G|aFwlf-O2a1uAd&) zp5{;f8Gn14ukZN#2#v{lcq6nYR5C*W$<5dEgIGf5C*g=07SaKmv(h`OOF9uf>PS2I zM?HVX$Xp_=xsukGfFeZYviC_%=eK+H(_KqdF62WvJV3O4MDFGgUV9ji!(T%!u1?%GI6#=C@_Wd3zn3-HE|BpmM-ipe6rd?2U|Inrg>pKe4xrhO@TCx_#91sHKFO5pAJ2A z{)aQsm*hJx+{K82*Qbvw!v_ENH{kw^*uOU7Ac|21j`~8qjJuYA0)dsjv|uJkdf(&?V5V8-G5 z+4Z7_zr3}I3-CU-fNE9yerY&!zwyJZ;$Hu7nXd4M?sMq@nn5Z;7+zFAcgEhI3hFlj zR>8_zBemBIkEG6v2Ck%&!`!z;)`|ZurModHwi)Dj4ROhLXpnjJ3+RlgJ zD3fHjLrIZVvLW!@-Y1umU*gH1;LIbO|Gn#sEwI&&LJ5+s>xZtj^sdLtnwq7pe=yqA zKT6wblU?FaZgyeyP>o3I434TQ<8aI0=+DhKld7>F|IG|$-spxd4E5fK{Uh@Md85)j zUmME1JSASKKJW~`{QktE^oN0_(8E*_MffaMXj&K;#<(rff+>Bpdk^Nu&}%*Rl%Y)c z{Q8Rw_PiUTW8aX@>L_pChM>*sIV)Y0>j7wV4{|6+>WJcD4bE%rlZG%{Qkg6#|9lC| zn8W=COG@HUfuuj25Y^*UdFTjDoV3+&o2m&Z1uxE~fG^^r3m{_^NYQvw0Bk`Yip*Vv zWpuve(e%toE*kVbY|YYE8nUjxOrcn*uUZA%+<~RBc5P~r>)cVdnmp3hfZf<>=<|e7 z_xgJ)obN|!Gl-RH_4AwsjdBg86Ew=LvO;OMODK4Yaa)A09AveA2nH>zfvsn2t+n1F-QJ6Pf%d_;PUXy zE|L0o82N8n#y)WkN7m$u;Ok_GF&1K8wePViiis+(6~}W;4djP~MlE0&JnR+`98YYdjfc`-A6nKNet! z_>Y^7N#zeNNUE~+snA%%a)`CZ4qp;~aVnS_wcrT3f;WU3Y>P1!M!O78h51aCC`aKb)TZ^M4Jyfw8h9o?SpJRK+x~tLp5A#R2w)gu}Z8HBfoK>ZM z(M#d|_{YQa*H;Grz#VpTBd?Kr#^;Cx3F6=x-_mrgm3tg!`yO{Iq4BtIeTQbBrklSt zIq|LI>a8?+yiSf3byFs~9v9mzCm8Kj=6q_xj|(kEB>%`T^W})iF5}7Z2|Y5YIYe2B z9P9Uc)ozbD+<%1k!Q*rMzt;v_T0^KSgC-AvK^Nj;PUsAYl#K6UdqH+q?<6JU6?(xv zGP=V!dS4-kQu5_zaGa4I%yr27fqX%gw@TIiX^J&9fQja*C5B;%f~Px%U{0Vvl$;lDI-SZoBhuiVPF}&*@Kso(ekYW4kW66)Kf$d-eEUXo`$yYHUy8f zPNdXRIQRJf2I3~z5Ap{e6>dYxs=rs&U=ZZMC#imt8oiv*e+c5K7xvbu63bf4km69Pi5;VqI3FG&_C?7024pZzjM{vH*B&QRAkwDpWjBsoulg2Xf3QNb=| zLw`L2hO!SaUD3-nPdwynLdd9Ix5S^0R6j6f#tyCH6{ruze%aipb0CT5LnEKjIjCF? ziw3|j5b8Wl(&pg0#lywYpHrmm=sDf;v7Ims-!%9La-!O-{){cw%y!=eu9l&m-iCfhT)`&c}X_ ziJXa?XPd^5@WHJ00t{ILO%U*xf_{iP+{Psn-=GN?;HU2d|Vap^oxm* zZb0r^K8!jo(|I?D_?}f-lCZ%h_S~Rmsr`+kF_q89w-5BL6DzMy6$4WCY+CrKQ{h5+ zefh1%9N{TH5BX+o>rb8Z5H&5!#9t8kpXl3>O1%RwHK{L?+ul-jfvXgSE@XU{;^`$s zgA=A1R9wI|MO|Lx<~Nex$z5nNtKE9NxpCD6xHDsKMFPy2Z^ zQwt>>wZcJnd!>wJbj`q^lz+VdTu-$!nuCTBdZ6GtHheGumeH-x#oZpc;aFjrAZV?= zl7Z0`D`I*(_B<{%8(c9*;NnGpLrSa@M9+r4Y*-q zpQwzxp0L+xh^SU09vw^9^HFXR?3z@Ryl-bp1sug%H!A0td7C~|ueAFeg0j?!p#fh* z23J(3dLhCdP`axwY}#F>Ft$m<94^Q(dRbG;i$6=RO(?c&N!1$OizZ1Lh5|uuQoS7& z+42fbM<$j21Gk7~&|SjHMaYg!4b2;U4s)3gLteU-2v1q$@rY>_ zS<~KLCgb7VO+TqWo@`W}@kzN}{)@@6Rzc`3K8?YMs94{N$V=X5JIZ8+#(1@z2Btf; zj7nXOKgj=fnf`@`SB5S=uDsd?wD;M^d&EI?(!G(tT@C1->?gfHJ?QDwW9PKrBwg3u zx(}bR>xjt@69tP1ZV#P}9AV`u1snj-&^|1x(m4~es(VxJfHK2`lAcmzY~7NFC7L5> z2tFX?GR}L6i$y99C>OBmqVv?OiHa{F{sQAYr1JjDvooO zC=LcLxgo}Buk{YSlr{+vxDbVt%KpEr+5p3syfhc&-@X|BcZD=WB%DK3%ajw_Y8%r* zZ{5f}+D5l$uC}9L<%yz0FoT1-Kh`cUF_gFZahpX)6H!3dzL*2Ek>M5(w&Z?{AA*J3 z2z*TeMma32iYzX}_hsP2kL}d4)9z_SuuV1Er4AxL3xi@qqBnAXxx4TR!r*}u`+$L_ z9oo?}Nfn0i+fc6)B)>*+IHFnQOT(_qE3TcEX7S!a!*h*oz0`A^H+nqBm?bVPwhgtb zU_7S)sMeVi(m)T#`UdDQvH;V292NQs+!c`?#GiV+|Dw@1+(9z`3zA#sx9Ay~vN?d3 zL#3IGT=B4IEn1aS*>YJ;D!D(iYia-6-^faJbX)lb#0<+N?V34tRvhtd5Uq+CBn~5* z*Dbp2R_wi0m8s;21eHKAd+=BhJF0OLDYh$pR%5xGl|f=+>iZv^asZ9>v4YafYd*$o z-05xc8_X9dHr4ObrZ#^eG%MOSdN6QSiYx0{?rCY7sk_e*5gf7qG+1{j@<3b19{9zi zL8A@P9_Tyzm5YJn{N_^!%l`$BbsCO>V%r(Y?a2vbWXi~=oSOC9uU+5h6N0V~q{X9n zuM&*99z^m?;%5F_n$y30%dpMxiL3Do>8(7^ac|_7kNE}0++HJ=>AP(fz??(*xx~{; zvbJSa$~+I%Xf9}E+4}ZK?&qQ^s@P{SO2BO@ zw^%}$%o_8#7#Z~KEsK&M;C)g-e^>o|3i(PU(yyW3*JN^tZ%BCDQ+z`y$KDaGRY$w< zjMO={7^dK)4)TIpUJt?a zZBPoBMsZoQzzoZ?kDaTbG7IjeDaYG>%2vOeq0E^JoZiZC7g~T1psEe^Fj@U~)_M$H z+0Kxbz5nAy@d)*Z_thKFPE+N$u6ynmWPqU6*YwZh#bYg!;C27E=Jt#y)*XHeS5!Sh z4Oan1PkRz4atN;30>Lu;zlkA%WEfdCYlt8lKAclGQ{wW^Z>iP5n3!L1z0|69T#9GM z0$@EAJQ#aZ2RL{(jNP*UQXswsR@&tovM(pNWueha;?FZSYa!bG;Im`C3Ty!g_xn=d zPo|JbgP{X-9%rwGD@I2!X&5EaEC(1hm1XH(Tqv*IWR?LzuO1~;DpepOY8!9H<~bD%f**>8ca`mdYM??#(d8w?xzW(5+@HNCvfP7B z*rZ2hda;IlLrxny_{4Rgo}LsHscHV28g8<6HdeoGMSq_s=J+J~g&5yI{jwF`&~S}5 zSjlx_3UtMpIPg{e*mW0=cJg~YncWLj`^MPnuZ|9*$&%S)%NQt!WpU#YOF8n zFxn%2m$2~ zd@evy%b^c&<4&;q85XcOyBzb-xy}cx{AD0M_yVn{gg&>T1Hbi9YaGdF>>E<|XJ4=i zFI28^m`}CzL94*{(?7RJN8wD0dmmdAXpHOT}d~;GyU`^|~ zs7UG;7K)`lEO_h2_eeIn1r4*@-@Z94FL|WU*xf;EO#U`&1d!_K6)RV$>O;*434!*Z zTkik735O81bsl2aaLFzhhJ~}Z8j-~PCzGyAb3#AZ*q^Dkeu2{-?RiPloYo`x{c);4 zz*3tI;&|%jju^4^*w@7?R)!+9qQeUkH13@q@-`_dd%RX@wd28=W*5AIe~_w=ta*6G z+DCmBvm7@qXN+SwFKm5BPr9-f$J4cKZb+zaS=3)Fnc!FKPe(#+{gvK>ff%VQXFyL)3Y zgaE+W%tkL;NZHlP+>{(YCUwTTMU5!Dh#`KC5bU)nG68q`H`fB!s^@0JEP=p?{K$-F zEby;W`w5Xxy7g1^FQk99*Z=uOwgvLLl;gg2O8y=#@bMIYdF`W&NZSAHux2o#{QrUYsYK?&SCO{z#(BdkscsSh8rEE#RFo# zEWekgxpZT?zo#~;9EW)uv`VECHJua~UGFsy-3G#3j+m|&1e&v%$^@}#=4p)Q(#cX& z_o`f|BTz=qT=cM~l-o3}9^}BnZ*|+lD_H%M{{2Wmcj4dUVj9~^YF8dRMQ_6D=^P5Ccy|>r%mZc-n$td zyU^Xa)*2FYK6e*xK*AEmbHMseaa4~Cd}&aI`}H=_IJ^NG%!dU;OOj}k+~9?Nqn(fG zliRW@m+14Zc!8}fJn72|ip@K%fJ@%2hu%G3J%)3(b@o>euoc4 zlI?Q@CSKy)IYsj>TL;bJ`sXD8$X2cWvA;&a9hz-6{!Avlh*+aX|HbC0kiIm?@?&8B z*S_ge%`NBsU=08U=^~}R1l-;aGznXkD zosIhsz^F$wLqfNLo>{kk_(Sm*b(qUSfFkl+}3AU`o>;+z!*}a_Q+8 zNatUo0$;J2!JSZR6OT6Kci+*lg@#%iSrM9y_XXb46ms;N33>!wpv>T4XkW47-lL?w zL9X2xDKASW9-*C&D)B%@)uPa=kZhMPShpeOU^JvNEN9q@LBqN_w$-W>4x;5d6sx7D z_r78^nm+9!cQbi7#<~!zYxqrSbb&Omi&E67xzZzJ#5L$VaF2PiV$INo5x+vGZ1a%o zbAUlb$%cSJv1=woBg7dUA6WE={pU|rYQoSMvbUqIS3SeoEHr==Nv6J{4Lb=7TIoA9 z4qOR#7LW}onb>0lhKcn5qRb)>(8w#O32 zqC9kih$FIRJcA3UwYdvP2da;2lx|G%bsO}iXplr;Zp)H8*^^`Dm$+nNA<5c-ZCGlv|}od+#pNKaCYY3MzXnE%$&}gVP<8Zx``?@JW-D3a12t5s-mBaiPn0 z4+F;+*ZkN==T?@7*DN&T~; zd=09g|I*%Sw!r{!W=5K>Qaipb!*kEe3wZ_&gpOGMvB?NN4F~{5s`B9aD+4$MfV+I_1+S7iR%8Vfs9(UXz{mO?)mg|13n!XqtGaiHvp8XnxA`PgVegA zd!58ZkKa8`lt`f=fqmeHcz3C*CB7flglyz({hc-u9SfJ}fKd1%ub3GrCuwMNJb`Q$ zP!PdGj-C3#n$-1-jb?!du>RHXl==`;5P*pe=q%d3rkO`Z;HGe)bGa&3C$XhJHD#S@ zi|`nfnB5hYD?THaR>ur+goBE?Af^}XsH|H1B+D*PCz&6HVh6X_^#EVFT@vLFm$rd~ z1;v%}kAR=&*&Y<&KdRR1^c?fYk+`n@2k|;mT0C0NWV1FJ+PfK^JG8(#LdPy7yyEZW z@SGa;eza295YCj-44b1Hmc{}0)gT+JHFvul)*ah3S;%^TyZREnV%m;Waif2T)sdz^ z1)D^x{i}G(Uu@K85nSFfOxoTfbuBJQ6Imm$5W3Zh7nvl{DmaAjcy~{QwXs4 zpZ0@#-3l?EXH>J?x@$=(K#K3>>@y zG`u>%0EHlI4|7pCUM+I?7MMcKprQ9}s)5XKw0d}=mo`2eDh*j#zn%bMpeH5-A%j@- zy5p+K@aK`&kPRaHr`)N*g( z7BoofHzGAwmc25h@mn7mM&e!hV!&;k1A zw-?4ABP8dnhqST0nfu=DSJjKzjkS>fHiggpYrfC&F* zy%HIarepX#B8jpJ@T3pG8^_$|miU$b=JO+U-Z2v)oGo<1C2My@2h9(Bc)Q~CXH2Br zS;sOvF?L4`YjP{w@3p`8M*{Rc9@RYOkK1qQARaraUrttbx|}`ttdtTYR$a`J|5N{- zfsAO{?YSqueU}^k%SU=}7F24;!b`32*et8k3YqUta2m_TLn>{Q3;9T2f>Co)nCp{M zW%=ZBj_5!@M3{OUhK@Qsx6C9+o{7$6_yvaaq)JC!IBp2a4=Cvstz|N*e_V(5-gj#r zeEZ@{hxA(iH8NmQ*2qQ{42mZQH?17Xa@NXbuu?zM7~<+%GI4X!XMO$rStNG!;Q($ZfDO-mrSdXI-ord!+t zTNOgD=i!b=QHRLl%@C(e z&NHB~_fY5Pl~V;5u;8T%^{tog?D@LmSBq5c6vc25x4(vxwqX(w*IXq!^dE-)Y8J$Y zlHG2wzdTn*xf^Qgy_frYf37Pni&?W&FmQKsh4z57I%p`DA!(R_uBRjHDd)^u_5RRL z^|B8{A(v{Ix!s0bi@XQy*aiHFAC~MV7M6RHe;vgLw0qy0LB_zsijx zxQFpR>D{e}W;Z=F&MA!>_^Zj#ivY(t4f%oMuoOUlS!c!Oyl|EqBQirs;(*%6dr*PE zCF#WPGd_iQMXnO%iL%8jd56XFa&P7G>vQy|x=;75FX_ew1#3;#p1CBm`- zz3UTZP4U^Aeg!0yxlERzzYSmSbBqm$KYasYW^XmaQUG#p@;#OlaY15uF1GsU6b#>|W&CY<=jx2Nb@7&R=O*-ao7 zEgA;D2F#RO;4qaaBcdUC4pql1YRN6+Ph~}@FXyYdFY{1T+$n$g?hWpLK|_<>AQR#B z=V~wShXuCoXKjOsk*k9N55Sb)yVF^(#L3@X;$g?4!3|~P$}n}C0uOgdTAC(x=nyPp zz0l*mrklBu`R6r^9G|aPS*<=~+{&2!#TkJuGC}jNFG9dhrHc)msfl#I{YYin^ zm`Pq$gsz+Qsse!EKoUv$>CKGBQLjfOv3l&F`JC=xD8$9_+CB=ahLe%mXZf46ne{@5U%DFX-^%R-jn^bhMYi zs{PBTJ7uB+YQBw|1=nbj^zQI1U7 zr3u(wX9z&UTC^g_GZ|=sQBxIl`{dnWUW6|05=fuiG6BLv!Ua&@gjV*HnO39slJpVx#?=j+8*eS6?U8i}bMJ8#+RLgS z3@*8(1+qXS^+$l9_4m$h{cV%~EB(zN^48RDB%UVmnfaf5z5rt6Xc~L)D`$XenRb5Y zVAT0EWK8vapno~q9qRoiMD+&Xrs&DtgB08WnkeNlnJb7~Xme!duSe?O{n3(Gj@-J{ z)x-5(%sK^t{z)Xs04pjTY7u#CO-2NlTF5xRD^`3{iNpokesRW&bTce0&S;cu_VL%H z0ZI$Y%!3MJCYDh<>e6poAXUR|HaJu=D>sHrRH#*G)Zf77@MlDU zAu%l8q>fyQO!zab*9zOy8HSYuWHC`aF1&C&N6~a(X+qV5rxR5HN1B~G3-k(-5~TS< z?aLCX>rmz3F{gcwT*`*HBNfR|ifc&@#n5*G;kj)XQW;>L2YaY$q2%dw1dNJ$=sF=F z+U9G@nxU5!)z@FpuE8}f$g`Ra;@IPA75Cs}6m##4Dounr9=BHPf&8bY01k;;w#9u= zQgR5Y3?~T|NeiQ#d)A8fX}Q0k%=boso-s*pcrd6lPd6c((?7OkX=-#ew2b|NkFS9K zF=(4EQA^LednZV>{*Qa=fWn`DF#kWO-y*nW)kmlb<^5!uN|s5dA2a8uIjDf_r5ya! z(&*Wai0X`;0F4l|G#4h;kbdE*8-f~mcamVLInB8wslJyKt3@Bme%C&mNTU%I+# z>A#;)W*6_cEL{986@p!}ZQI?X+)HNpm5nCGkv|4)2v0IyAb0TmV>y(hYmVm*MLquD z6kCu%E5_)a`6IH(XBM?u)R=d!>2dj=h}u3-Eyiri?oqJCWx$HXpI!d}fn&Tma>`CC z6MDj^5wwCT6`+_K^)Ce@>oGm8>LcuLPI`0Hd?wGl_CIHcPHB*dW5Il4tiC=IF}045 zS^rMpXLLr8KHXadGG8i({~{oE8z9ro&bOGEpu6Yc89k`}cgIpW@RqlA%};ImPsXhDqT!WAfDd~p(n>S*^&X}~d?jEe zFa|viOi=qU5g-Hb`JRWz;gh`EijSwz1APIIwR!IoK}Mg4--9x!i}sqX-DlzwCx81s z&nAD9#FG)AyYdyG5YzSQAXTs9Zgu+opONcS%GQx4UuFF}zMg#Y*tvq#CS=4JGjgXw z$Q{c>lOS}6?KJRE*2ckst_*IA005;3eDQ-?^c~uxfB(szbmyoy11@^?+!t^%c|z%u z0->yYgXC@8Msu_Jh*DjT4@tn*20_swtx3s4>($O|2Th%g1B^Po_= z9}y-OnHIb>T66wr{qyr9UZ4py6ba7>317knHHIg|83YC5#Mj0i<_~>Q>UzMASBgFmPvo#5;1(Rm8re!+g0p2Qrg&<|tMs6RxZs8m`2>NHtb$YJ*@v@J< zKs@`8FU&aAEn-OUiCF0D-Z@b4( z;)9F%#7lI@3DeZ4kf>WzCP-C%0<1`SgX9#>DE?tB$e$80kGRfu-+;HyugZ+!!Zo}~ zJ-#S5SY8{A>JP*)MyAvnmoJuGPjWX%vNF)@JgZ16t5 zGR1k%0z~rypQGfEypCFohHDYTrWD#fb;!PndZcTa`RfJ1I|Bwy?ejlN9tETq`-XCs z2I|KhU-{g=|5E+Bkcu8iR-JkpK6jYdc*pnBuH`0f#FcZ9+ygvpwUxUgNs&T8N#O>L zFkBaFnQc>aP5`0cCaY6K9u`AoSe1qoY!N{Eq|c)E-5cb+-5z=P3;nL3;EX2j zky7pRt`)+FyPSD!=xiK-4iOzVM9xEclrABroCAl3DIh#sh}k7Q@6tpfc0yt#$GRbX zv7^SUsOes**(P<(iuZg|Z-39B#5beF=LH}s4VnI(cdl zIV8G+^zlZ0$kKG?f(hvKnJ7AHB!Er@XTf`q{Fe2Lk>Q*;ftu%m)#uBQn2rxB$wZ|2 z7cpo|Z&|YwiyN>m5DDe=IO|p|5bjL!JA|_z5^~kE=l+(D6q@Kq?9w;SOLzL(n|qn_ z{gdOx!?FHUW2Xp>{I{Rf!=csnC>ll?a`qNrS4}72d#KM=7D^m^k04CUyjMSLg$nN+ zZlev;fh54b*{Jt$MzXd>y(s6)+ux4Xi;w$QqGrR}Bx%1L13p3vp$CPllol3H|P_d3ju2$Qr3530@jx$IndLdJ&{ zSeM9CUpjp0U^=kL1tK-c+l%Q6In<>PQ$-Rg;F*&zpNw#PS<^>rd)-=k-Ksw~49KT& zMslBkE{J4=N{=nY^TPf{Jv)+qesWEp7grIz;vJ^+@4iOnDCs*Vv|^?w{7P*f%gaW2lF7sDZlhvPgD z3hO>i@`NR9VmOe9P906y(7Wrm2ARYjByvqRjN ziHlm&oaHY>+K#oKrA#v$&+FXnibax6#sWYYi|Pg^PxiitGuI_`8%ltkytYyDzdv1v zFHuw^2kOroOu|Qt4fh|BH7fQ17dQ;7`+Ytqf4K3`%(Xu@W9{2%346)$t?_0Ha2iyb z6VR1(H*?!ZEatlb`s2oMyiV-sI0zY7ff*2GObZ<_AG17+ehk>!by!;&TO5^R(Emd~ zedHrgopVVD-CaSU_nl)#Ig8DUS|uvGT(&ZI6hDwhTh$tW4-pWY6g4D_ZjYxwf(S}s zK-HK{3Sk&d0roP#c)$8rrnO$cSz80xkjZzH4E%2{SF->z&Fy5nlpK6=(N4fg#DUf_ zxN5;1m*xiKyOL#?9B>M%d~bM|j%mMHCXbsjAA-s4ndg!0E9sRdXvc;Dankg`P-9Zs zSrjXRDYRfo1oUct2&@@*nCC~+8F^WptY->9HJ$VuIYtkF(jp~Q36^@r7Uzo$+Wl_^QrCxc)s!*r`_9K}gQ0$mmQVy`Xajr8E1~#FCDgEm zs&7A6O^G%?SzckS9M<^RARUMKArjKk42f;eT9GypmpjbwznJ3jK#m0C$l2>%@jwF@ zbu*;RH-!`~S_O}V?_VIId`dr|M%2Pw6`kVOJuNZer!HOMr!H|<>c&qzGnf+l{A3R3 zTj3Q(ZX2ckE0i}QME@ydeCV4dI{oD(ist2F=}V<~XQpySX|Y+>s|F3KO!cnYsqYXgx<{OT<=#s;XbmXbrtP1p~MU`JU?zE zmZh4G6vlXqRlN?lYyRrcpH)^?L_>fL+IAWr;s4^D_Bv?2AR=iWYUZHq*};kF85^|m zBePe-ovw=|yn5tY;w^3?eFOaHKvrb@u|J4g2^YoZtN@({4J+B_bq?cC+VwdXFfQ60 zDGp5(4o7byVu>b-;LixUC?S&V4ZqG2x5JM(u&BDr0mciRwDq!T5mrYIDEf-#s z#G9y3tho4>|6H?Pftg$j*X22-P&JJu^tAU7Spqs5sNQTmDkppwYkYG4hzh8Mqc3Bg zw9me^5GLp=^7xYcZqhswVn(L>r z^#G%oiJ%J%v%EZi?v;$kxc6^&m&$#9w-i@kKf3sC^*>!SMt;BhPvo;Aijr?Ix#7Hx zY$VGZNlZ`gi5S;XQjAq$sr;Q8?yC^}(l}c_!dGdEx}O>|Xm6(cL~wFi^3kG_wr-zx zZuWA?A7c-)FuIAJ&$KbRIC2eKAWFohlnD%&u*4nG#e1KZu5ncutSguC|N&ul~134jBdA-OHPbIscz>_b*?6mO{jmS*)-A z8}qA4Ohwzc)vF0m;_g?$p0DIWbix~8qgt+cAFDY}dNx0CQ6Pe~f;H`T)rM7bR&uvu zbRNgWY(UXRD}LVcspw$I3}^jqjqj)@&reIO`kP6>0^1Yqgp@%{F7L;DoVrA@fSUbjI0_4N;l!Bw z9_jU#F#NoZwBTX~1q^DZkA8J-3LAYE{}K2fhBzy1u7L*j3_pBWlN5$Z$KYr&DL~fC8@y0M_J_4X0DXLtHOne`wbz1uhr$aX+<=xD_Rct``v9Sb=$7f%q zc2bR6oy@T*4zwle)yggvSl!~KXL2M*glRNK3AgyLMiMu)oXhO=a zlwD#YZ}#gNTl8(l*1|BS1vE4fu3!rcqPybY)YV%-yQG@t@9b&F1%n>VJB8HstvJTG z)jw1wEpb~3P^}@+%xJ>-^$@=i@9o^bsj`#r8sw9*Y*239^7a@Htg9LnQke-;OeVbS z`(NhK_#Zyqjx*!>f1;-}dddt{quB?I(gZgZLSUTEaA6PXP6HXeO!R>bHpR9f+^&vj zuo<%IIfyi02^1`(n8d~pWXu6b=H8!_XPW+SsP*W>&DiMurpNLWioyO<0h;){l4zSJ zlvB8M+9p3$f>D|vSrM+ba5yh`c)@5))MV%kEFil9D05=r&~&^!`wp0Y(H$*Pow>e# zMiqoyzkJL0X$3+`%+4TBiw7Gq;a~=oes2<$R9LAJV{xcq^9ovn!+$q8Kt|d?di1;W z4ij*xK>vla&wh@;ug-w-aW}oy6sj8yI6L`h7 zlqZZ@DoL0IMfv5szhaajz0$PrVRJ-45B% zys}mH)LHkjC--WDUlKB6q$OF-YFF?{*StH=o=|hu+wuVb7EanU$eQ^opTmqX<_k3E zJSaeTvDJX&?(vY9(BNd zK1pL6mg*Fv$LW~BVg=Gi8PnNYC{$528f0_WGv%A4|(u8F+i zDPw{?P^Sn={KpI)bR!A_eFB>_yi`?x$t|LS)d`<%9vAt;1JZW3kZo20j*z{Af}62`_T{7g_>gw3rBuV z0i^0ik>9-+KL`d>LWLkQKkc_*kbY7l=A5}O5ks28;am_;i&<7$xQWob3m*Y$1F*FR ztul2uoVZ0L(an_k{%o1cFhYLG-=%kv9U@E=;{KvU0og<~DQmV48i2YnFS z_!kMqhePpQft!9vLc{t0Q`?d6lsYNB-<-iA~7t4+ODR zIJ=pIXDRZE0R8fdGh71cQ(b~i{xBz9Zc7FHB8(nW-Lb>l8^iG9zt4cVfqN|^g z9s>jHiDEZ|SaC&pA>=?9IuEur&cU^znrn(RJJa6z>Ncs=Sm5Wxp5>849Tixq`A+kp zaX|#fWb{ub;=?A^5{x!fUzTE?JQiMQ>c~$U(eJP`S&W`3y&@tDYmK3`TT@{chCp7g zGDwD~*V%GNxP3hxU-@e2yG2@a^cQN&jU;q04rK$Ror*adQJ1ph%R{1dT0x;)ZtWos zc2K2<7=_DHK6~6`^dkw+S4hE;CJdY3blG;E>`$fwtD8}knPDIEAwDVfDytGqpP*nw$ZY? zU(@1StE=Z{1L8Qmb{Z>v=>2d3WY!F8jx z5BFf}3W4uioWi@vo2rF3UW8 zo8}C*C@3y(CUw@cE4LqFwo<_->eW$Br*z@~P{c=4l4q#>se3!Q$b*uK^UADo!J8sc zg7*>W5+#UV;&lhrRgQTeeO!yCc#PbhOd>cMEQf1PN}zEx5Zo1b26LcemU7{CEH7jP=$JJx2HUtu<@a zoK@9=3dpOp-H4;Eza0~_{MsX=_FZ*1GIHvcI>Y-phe_sv2y=CAWUOZWD-zjZSVh^w z3v{{EM}0WinKO@p`$I3ed@T&2DNLW#>KqTD<*FB5Untn+5T6bMVxc+c6LY@Uk*?8P z$!Cfb-QIP>ENX)Y!QTus{Lo7D(G_QUb(k4X8)!f{!P&UV>xFk^PGS}-@-;YQ3CoV$ zAENv3Z+tYrm}&WyMeKq+LGK(QqFM#k6wwVItejh}r&U#)bVC;lyV@sAG@+*We587+mkQ zGBTZc4^}n?6RfAE>r=aetG4?VP84or5f-%zYE6e3JKi5%p(xveg%v-6X#N!b?NswM z?X>oFzJ5eC8^ZZxJJ8jI`v&MFH1Iirb8+D!_6|t~VSc6V)%6;Nf9nkPsTSQ?c7j66 z8KIH23o4I(h>9nBl24dan&a9ehon1H5=0MYrN-)yLU-(A-C4*~tM8S7iVA zo|e-sx_YaN8kVI4Sxq=++LPJx;6GeOgr4%uJ*C#fXicnGhn|QqWh9)pKEGhDJ+&vi^#QW#FIz#diS~vXbajnY*C$|qGn;3oBGflscVsd#VLf6e?R>8mNM`|stnhMQ_KYmre$0MO$`Q1w>7eZ)Ba<;xiNai8cK^%?(PQInP(ZA^ zy*8lwto?>YuI1akmaYf?dlMo;MLH2ebl~Yrm5%vuIgDnkjDSJ@${{73$(QNl4XR$ypJbi@g`nAlG*7K|$jT=g7(hz%(=l4rO z#JFS0q&x;#OlYj0+PenT+Cq_myBXIOC03uRbqlNib=he!I#T@(v>v~-^$xgQlJS%h zk*_TEA}U=v8DN8pIK};P6PxlIms$na2Kj(;pmU;A$ zSnO+Dkc%cC6Fd($yPf^BC@gFbnG6iaa@R+`x@-Lh$`70R9UaXY+^Y{UX*)gb3<4Z7 zhTX5i=~XV3O>)GEn;%N~dR@KVijse&MkelCaQKPE1#npqtBvmu9>;MmWbDIihPURI zk9VGpPJT?Mq_ayPDwys+{t<^#&ddZSW8OXGQr79J1>rKbDI#LRO^yqsl9Nmv6TA=N z$|}psyD_{Z{CMITN^@GvZ$%Z;LF1u&tv{iE%<>lo&~Bf}rW9k|CwG);Q$(Xekr{vc z#Bw0cGiDOWi$u0)Z0i_K*)7}GT+qk+DL`9C!#;@M!Y%Bndybbmd0k>Lkl4DpVB2P) zv9dG{GY`B@emmZpwY@<7F)#> zgfU7h+lgNYP*28_Qj9U%G%*UdsIWg2?HI zS`9-bYCgO)OXhxCe%Ra!?y;s=w)+8BpJ~)Q%2OuW_A81fSeTh-!7d{iY}i4^DD1c6 zN$BZ;T44Bv?~OQ>?GH8PM;p=zhq;lMtqiQRFLWjy1YCDQu6iFt$lu(YZxKhdaO03`!V82X&i>b_1|qayXC%vlSx|>MnAJ!kV-u}N zrsRt$gHOS3#r&LXE*1?mSt&sAr+_7uQUdU*#+qlH_kLhv^{-Tw=-YH1m~6ru z%5hGL9KA~almJuF#-Fs|_iqFuATkCxg^Cv2`6$w>>$Ra^IR&7$I!{fBtOn#s0H5a0gzFS1Z{LI;>uv!;>*a*0B625n`TE7nd&mUb- z4IUR0!2qVp{F+{u(CW!A-N8Ig1cJYcqkf@I9%sbV0R%|7m8TL>Cf!P)yyx(Ea#4wP zx41U@a1XkV=b)wuS)fFleW@0HSzOCX9GULcMX-;)7C%f~+G$H@YoN9rMnudIcM?Cu zj_Tz{a&Bf(>8#g5DRS9ef*Flhz3(u9hL|%0vf6@PBMnO&#v1zcKF3-1dq(!WX>l#w zzeldI)tsCtS7kb8u0Tq$c~ zw>wKkaS?Q8BNx={Ga@=9J@XL(n=LUW)S?K4#mOkH;(e?WpVjzao#*o0KYIQzvSY4= zsgE)yx+r4AFnDr(KU>d(#IEYgX~5f#b?Uhtmo-d1pLb;X+(`R!v~eZv`gR(P2LB)8 zBpin&L^-;P2!FQ07E>9p!4Ip6OEBum@eVW@u-Z2T+;Ot zR4Zq6km2q#D?iB}&k@Bs`OfvwMwk3*4geH)wNkQN=Q=arv(;M>jW-8;_HU=t;p*ns z?HtOQi{l88Hf=*XVgx`9y-;BHsb;fm>04*bnCn91Vj-niA?tItb>X6-^3d_^$c~r3 zwZ$6^Fj;e1&zO}}{_2gXd-Z`pe2iyw&6pN(QSHG_-3PC_LaS z#PVd)QZ+|KIl-n?CbgOVmFsUvmfjAviD;Uyj100(b^tN4+gFRb;T>N4!Gt2+T1 zUFhfOb@_iDLhvfoYy{zE@SH1P50J`7Ik?&roC>R!qEYSGNfT|d=TvgfahyRgUd{TV ze!N2royLZ5&ddnri^T67*%71t!eMN00~o!V+BaQ3vMZxHIdo0Ekm{M0DQPVK9E^w= zX$^(itP9Oens)}kkk$yE`e~YchQhcpPX;~I#B5MP^_*q(49O#9MI?;wN!!t6d}(p0 z=V$x1UI6p>jyz0{O{C^nxFFjh(lpsmDM{REpmY5Jc-N{p#|P)7^O5)XZNP2jhHzy? zh(@L~_OtEL{jDBi-Hv3DEb z)es_?;bc2w_4M1Szsd{RC~ymJ!=TsU7mgE&iD1)u@p8i#1kXAOH}eRw!zdtltALmL zdxkpC{MNS&o$a)t>4GmP%H~BOPfN4$is_28yW^^Z0%bg5zy7bZR}e{HmBAa$bOs;m z;CUAkmvkf7aU(Y~ORV&MlleBS;Ay{{`4E~ZJ0&m?C(u=JjT>uN6_YWVO%BYuU@IWs#Te z47&=)h1<|1GCg}Q&dAlQh|y}}%Vev%ZwjmnmiFhe+AZ4DWR1uNu0fqf>=7K07hkYX z;#duWf*LEY$P}2r$?Zq_&`_)_)+@2Kw<`U6IRa{f_v=D!hUl5%cz&cBH$Fd93DG11 zVsS3j6)065Rng5)n+Di{UdWXL`(G#+uhKBd;(oe-GQ~Em#FWhv8DDI6SQGB-0C>Fl z{vJQZYY`-PslgS>O$U$Kh4ye+W}~870Z@KAb<_r=3kEYZM8Fr%2F_&DB4UW#(~_WB zzkrSk?J0r|xTtDj4iZL++C88x6*#H6bpHgVMv9`izh8ONy@}zKViih0gNJ7$)q+`| zH$caE(4-h447xmR{)Ik6wzuSNW6W24W59lR^zGq563~UT0*B^)=t|TpH7B%EbofDj zA`_h5xy50mZDJiJlZWOcoWw8(m#Fh?+26@-;}~_2C|4`9?Qj2K%JL z$s0#xH?;JG-4>qndejdenid(}D`FP&&Fo%zz=HpriigztX5O*_eE^l5Vc(7HK7~r z|Im+geNjgD|)8s3$%gkBre*b3qpY&wlbuO3OQ zeJ4cLwy8d3*ZPr87U35U2l^cub7>tW*nY)_)U+pWxq9dF((|jw{ez^Q$YIE{OV|%&X1Z9cx zT)ck0>aba-WMZx>-Fyr+Z#t}!=91ud^x{lH?PH@&#Kp@lQ4r3?7>T{1hG+dUC7Aa>Ex^G&UQC)&4tj`N{`Pxwc- z%P2e#g}&!#mPC#bx9X;NaqBRlJ())GRKGs;(bFUmMzD;*)E8Z(OY_>sJ?G+V7-#-k znw2Xo4!3{R`Jx-TT(>>ZQHK+@`BmF+tZsmpnQhM`0}E*+`Kxj8T}t&SwYodW_K8!V z)6%Tq!g<#Fn9rQ1YsMFheR^4sX&0b%`&WNwH)9{w1SJ{n6>)trcbtq^`|l;MD_C1H*sj=8x|$gE*<9*Wv|T zV?|yWx^a8~G%q#_hl#stZyw!?K`=rho$c3I1S1Y4XAAI062F)VoP{0NzrI9XC zSIT95w3HkIQ7Kmi!QaA-HoPhqmy3VDLHZg--DGqk(ZdUH6;QzqnsQoP+ zZ(kXH^IVxrVa1^QXm1ojm%Z8rgL|l| zPyH|`qG$A(X%FC$>pfvw!=6UE-niN;IteJT@sGn0Cu+PX_m@Yt_djDu90&Z2SSn19 z;e}Flq!Ki%U}Zq4a8jve>O103j1hLI3%!CFU@pd&-d-Ib-N(HL`MS1D&*7gb4JxOhYC;_|N@{T>3)OSP(NpbOzbC&NC$!XvUvUsz>X9I_!D z(f9Li#Jq)P7iqMb-bHb>0AgvpzjnOeAL_rB_bg>@wiAinBl_F?sY9M+fejx_VP2Vc+i2!<8G0g+S{BAg z5wRV^5Sh?0t?aNMQR*|+tU((jLOlY8UZ_dNi&mC%(k0l`u<&lY(Hq^z%szM$_qbx@ z>OhGs7Z2X`jKW{IbfGo2VUld~ZCWL*QPCo%G?xD`)hriv&aJdrf*Zhe^d_T(s-H5|yh(e7xkd8u&FgdQq%a#G( zzVggdot3B`;b^-$_+7!-csbav%Cr;oNewM6%j@y`#UCTouVW2IUup+W{OvpfIv?Oi zHiU6vg*jD7u0Q@4DU?|G2?}-Jo6?GQkv?UUeiWLKlOtI09z%XbIsK<IO)UfDB(!i-Fxr#dnzhDrOxt! z|ITyuHi!&hllQ7!U}7J$G%+QYYJhI#lAPzL!wdcBYN0S%y((TuKyJ!7`#F1b-0FS-sc0s}~pv6T3x+pmejG~7CUs}vOE5H7);XoP&Th~FtAnhuUAGp#CK$VrPbYI5<5edLhZ{lCAsVs4QsUvB4tE@$Ii#qL>ic(=VkADh^0?d@%AC==1 z3gG}YRXwRk8L@z)HV|*&E;v&A%+gf@hZR7fC&j}dB$Qi5aisw$7z`~4{>l7cHg#mG zP#}i2mbZ$1;epgqK#}6j=v=~cnu!3`DT8^Nr7{*zMfGNM=Z_Sez zXdi}t$ZUoq1v%juvWftvq(lwX8 z$1`6m$*@k7F(SxqlHf9C95Uj$c)6?_l8m@sz>1{UZC$j0buJH3o&5iI||GP~4^4tFVOXi{7OGHP^ z+obT5G{%AUGOO=@JXRqz<0d0nfT97NC7L1`#;0NXu=?ldVH{$j>fY+T&(tTJaeG@2 zmujPgmswK%2NX@20VIw9|G5~6D^Ak~Fk=@9r8!0?8FYBkuNV?2hR;4y8=XI)*xIFY zgYCn?6%6bF8h|iZI*|LH-ge_0EU&_7+0O&La3vQZ)m0MUdc>8=%ra_&IFLrBQOmlV zNGg>kH+dtkJp(i?tSg>*B@lA+svVbwq9KN2C-xT}Cf2lX+ty6Yw?#r58qG13Gm(M; z!t`?FT`9A{CQv6BHmH{%K^cPsssTurr<_HS3v|ua6wi0F9b7?-gtN%Zxqd)IK}B>} zzYoOXgZ@lBJZ=JshA5)a!Z-X8RW0d|&eu@1xoZdC#|YR%645`eBqap)v5Y_YTgVJB zfb{d8XVr+KZs%}iBW@aEax5C|rJgHA*FzfrYa)`QcM{fK+ajljj-E#nb({-zaMR^wa1aulz8MVeCs@$4%l~r|1U_HSNcL zQkWlHH#B^2HKyO+*5CODho1Ym+hg8VGM}9eN#A;WlN5ylL`uQiHP&$MOygGqj`|fD zFzpKIUB}#Ze*G6OQ09jlHEpn9nxrcZg^Ddop?Cx)*NXt#4T{^vfH^E5CofN_%9D1G zh-Mt6fkKYqrS*ch004_a{a&K!W2y+hjG?okxCHg2&&Yg;ABExx~gDEzl|!!Ik| zzm;%ZqW8K8U&%9|yerC)YxL*$KPAdUSY9vgxA!M+5-`Nca7M;$ig}B@)F`Chj#q7a zIq@(anw7akPg>{0BAA{6lSdWqPZ`rT2!vT4%~2+%mybTlS~slsIeYJAZB($;@X0E~ z70Uc2fLRit=G|Iq)9(xGzH-C0zul{yJbH8%cfyOWX9;@36cC5_brjry3D zY)kM?{i7O!S_1PQYR+{X$_TfD$Z8+N57CZ>LJI*UJqs>(hA9Ck{K10F`wIxBB|>Gz z_|(}&xtFk6TX^6H+f)OC!S>lz&!Rhla=lQGWYD|Ia&PnLQuHU>K@AMb`c0QSmA_`K ziH`poEx55VRQ66k9m2hD29xIdK0<2YZ(bXa4+2 zmv!)o=6xqK@b13P#-!5(Y@efE|NeGZkO@06zy6ulWXv?RO=-rHt`c9;KNXIs-MT2u9wdz9@ zD`(^XtCZt2JkNs7jUjgQ1_n1Y^An&GWOL@Su?IwN<~Bn-Fh?IT3dhW1lbD4u7F@~! zC(Q4Vh<>ekeU)U?5O4YJ!c=FbQl_gAXJiI|*YS+S-DR1S3ZkB#`keTIA1#apI?#J~ z=f0q-v*Q602+F%(hk{l5s^fcXS4Q7^@lPDzAaC3dJ(PVSlkVsD2h#WLoB8)AeczOx zpsg_P+hwJfze>5&EpB>II#_ODF3S7Wz4ljI)_%HL8|2SpYx>*nb7DhZ z(D$`CGtDX@>fLA_-H}qWqB9o?^B2=P=X_?^O7%@(LoHJ zgnAqX$t?WY(UtMv5@XQ8OfkDQP(;@MLfGmEbFWCI44b|D!~XmSCTxR=Ear>FHtKWv zh`AHCh<#o%I#eek067h?l4`iC`?5#fiCdt#6&Zx?r~4hcKLsRTWzw)ox~ZQMSRZ)J zHvB|A&pZ_rziOO0nj)(PWk=O60ZrYB~hh1sSu;8?y z2cJaWXW^d8Y62KibtQAQuU*|3PdYX5>l%%jDJ#r^D-W=+*9M;a#nh(LF{t;u^|xit z-vx`Miq_mEQImfSALD$ll=4e7DyUDbu>g?c`vJ`rI)Y=WJ%`o@-R7n z%Ci6y^mC;jFoDE7{1mDm@i=4!`=G1E73}{s_n+uUkpO|o>3RhKn1pvqbA#1nyyGuX zlLP26>4nMP%>Y3lLu2|B;JK!M%z(EFhMEi-05K*@UCOHL)?ZkX%-kE@(&m)?)xf*U z1WLAkvM%e(JvtkrYKCRqkCxC5g+C^70DUyT0N<_H40$ZEnX(0Z)0p8O zgB}S)^|RVvS@^5v*BMoJ8^5dnK=)r5sdvup_7-zMbBynm#9y2WwuyF{ zPB`jYg>($)kyc=8AMIV3@YGI|7eP2Nk-$#I8;FhM(z)#K=M%Ld6_*$2&i1!+1+bZp za*%h{N-wzr-*SZ7vtFM@vY> zIQ91A&(>Yh_`5M}UFo0c!J)KXa6GgZ(}3vD_m}RLfl|Q9&tBrSm=`rSDu+Z9m2Jq- zc4-BiA~p(8kjl3yjq{md7}Ypa``yM;0M8Zag`W#Fu-KVcsZO|H{}c}uqVS^c9S6lR z6v&krbyc44hnYrF08=^Fy;m}awcgv7RV_-Gb?I}?cNj2;O$3LRw!t~*OxOjd-&K*O zVgl07KVRh0?k^qRy*f+i+hee+@``!IGf9CNNi(vBN~UR|kxx>cnn@fz$oqx$B-^v_ z=coSq7XGx@q_O%es&?0#T>OK>`r8}SoJQ3koycSf%ZD;(?~GU1S)Q+=-(^L;Dx8i@ zEn8iLk^*-L?anM+xwSXfFp0kHlEjD}cz;0g3{N}ovED+i&vX5)gU2!UbgEOgNGpj3Nuti#;S!S)p}30JiUfjjkvgw?UN26)Za4L&*Il-3A~ z8v#9_P!W~OAI9cjyy0>%kDyxn1_tyElj5kl>et%%6v3km-Vk+c*aywPIp&pOh^>K{ z2XiZJ) ze#zLdZt=7Ju;G5)SJ)Z?t0~XtWCRMG++#2QF>WZux~~gn@5*luSKEcyW%7+Wt$!63 z|Gg$9M_O=>NNPa9QuI@pn%1a0?5)pKLBHs`*Q7B9WGvVjMb?^KtHkN{vnot3k27CH zrmV%L%X|bbeEj09s~ozxOe51FB!;dnfN{9|>CJl#h57C{&C|45nmvc*lfO@hCK>r> z5kKg@z>f=kzK!sb3>d@I@gQt2e4RcMtY40yP!w>y%96hmSfCIC<7{ zY1hwQcWwK(-WBIzuX@3UZKk%FPD%@&na*S0W~aBh$1SvFM08}*?qzzyMF~zd5-b?( zB8aNn-XN@D_k#)EnXE!D*zzC(01oH1<&TNHx5}FwlU7_!SlC7PRZg&AAHEeUfmetk zTW3A8K?(7pgoTP{z%zjfS>pghLq2}&0t&B9vX&XOArYv5*A_0VbUOVm_Dx_c3hpEQy6umsOt{Ox)OXItI%u;j$@+x61cRxE%+uj8PjDFI+ zWvE(<&Lgy$j#3>ZMC_Y0ZMn%>(wPG5QScP^x^|f?S8<|-isS%(1fi}9^$A$xzD9{C zm7ErYv#vGCsH_f)+%(nPZE1;&C?eR0CH1-?>sH9QxfszQ>ayHw zcya4Ml0m_0c>kyJ^T3@yWoeQL0RsaFwA^2zBBgKD2aTcxzm}CZ3b>qT;`Q>RaC;zC zy-7mBYp7`~#c)JJmc5+?7{RU7Mp~_cQ{hYp2&Pv`6@;6m&gA*h5iwK=`(4z9kP+giZ$Wg=V!P z|3oDx5(F5bq;V3b8DmgltLgIPa&{z`qVHiTn*rtHIL!q``MP*Pn$o_y2h!J=pFdID zQVS%5327`1)al;QE-?3t21T-2RHFjK(Be?F z;+?RC2<*=CgACYD@O`7L4sO{`9%kzim_FIG=3YCNP&LtWUihJTk+tqJ+95y%_Uu4T z_VGk(pO?%2fSVNG^Yhm>s%5+W#4ZEPW7Myxn+Z=oJ%nrMK(TwIf!BZF*qne_UVVng zQBkihRA9p=*DGyX=aa*i=P%HvsM^D)ly{Tx=dnFt;pF&))`Q;xB06Q{?48=J>*GeG zkp^*sXfh8 +N1iOxc_vrYxRlMtP?-&k4brxJ9u2pdD$S0jMLTo;ZWE59c{f4_h~ zhaW#!BcEw+gr)r;s7GmK}D!lOm>k7qM- z^g5kV?DG_w+A$ zrjRjT-!^_x0HSgoy6!WC6BAAMov~oC_W0nNPRmkgBYMzocmC@IP?{ZwBZvQiRwV*u z#){okxO$vH5+8f%qB~AM^i^BRlUAq(hv`HvohxNQ9xAeCLHbK=N7#PrplXPFyr%$K zNP&#H2OhB=_-#%*P@P`EdNRSf#BHlnIOa`VThH7B`Z{y#@k{pI(R@~gp@!$Sgk3^% zfK3LgNm?;Bt4mpj53y_Zv*BSBpl1AAY_8vbR*MGotH%2rs`7?~dxYpQe7PFw1=`yN zS`aG4RRT)2=Pw_c=|?6w_*4GDCk`^_E~VEQB^c+u{fEnKtBi#{&8sh=Hk7giGXJw0 z?>UvBvLrsqQuitPr?;+Gd_Rpv4vte9XSJL^*k2~+q5E~cKd|vvT)bY-@Gl1{kXW#4 zZJoL+ri_>m6`JTfzRF@Uwu&isMu*5(3avypYCgUL`-y`K&EY0{`fbZ?w@HjY6jE@5 zEQ>#}4q@(Odnr-k_BEeP+Pz*P(Suhw^7~wgJ3J4;|5gIho9Z)VRwLPD>mCu)6HKdc#vprv! z$}E-a=c>q|Qp8tvUVDO=tmEi+n&m{rWYx-i@rb`cCCm&B-rJ7~Zj6I^xx7Cd{I#%+$?8WW5_Zq(sbZx&*C$xOYA$>J}c=mlihwEz4f6CKGoN`}7 zWfkAvCVhYSu2JE+dW^k2TP;L6@dJxup|iG_{0u*Q~Dx%8>*_tJrCc>M_MP9yJI z6-jn0VvKFZU0v7+j`eW$M(C%XQNS-tL;N$){3G&ZYy@UYl1V=kzQ7hwVwHRcld_A!IC{k$Obm^{r zCGX&!WLJfg-!B4+p|l|TpS8g>-&qd`q*2OfJ*-wr z*iX|bN;VCUjpb_Ad|!p9qN5oWGw3!m$aUP^>`zsfAZH#~3dAo`NWb{<&N2tHviHWl zCNSRr*BFg9u#e6^c}hq@QHA~Td*SIqXwOCvmf7}cg-=iCW%v_;YZ<>DgXTaTwh z@&!wV<1)$0cn0(v*w8mwc<=YO~2(3Ng8K<&9}Rf(FrQF_LIEajo}175Lm-MV{MvGf>epEsY_C5kvqWbG^zP6Kc8i5m$%C7}== zn;LBY+PpkQk+<@aQt_BlDZp<};r+J${_IQ9TaZW1h16`5+wrA9@ux*vQ9@~fl2sd8 zbtR9!-nhFu>8z@VohEGd3DdaX{Wp8-7T0ssD4{3wg+*5~jeS&|wLvRxFf!jz zkK$C`f#+-{o`FXj3-%J=;?FxA!1p-CQ8EtCiC_cZ*)&dF&N0B7_a%{vR$qvw2YSN- zDK+{nk7Be+E*C_cni`59{5*hHTgLkKo6EdJQXfUR(gIlX!S-8e@&Nlh^+OSg*d9+E z=_~V6!OAs8XD|GTXv5hy9fUEzYQpcKZjLOYnf}RTl1SY4-UuhK4O_S?p{wwHIJOTj zzfsSIj-97P;CWSMyqHZ4guowu57iv6zRi1cXZhlNT--5wxwzJrP3A^5C)7Zlt(I@C zFYA>7f+2TU%hWJuXXb4gZjMOe@MceNqTR3cJWP94 zZuzyFd~THG*2XeJjw!aPHp=A!KiAf6;;@MG^$y{a-e{TF|3RY=JbG@`DbGUZrx#q+`qy6gv7^C~$J~rJT*PMLhD3 zM7DzV(R_S>2$H#Ml5EDAA$%caV-tyv5*0!D&(@zCEALl*J*|4uqkB9f8OxrODq^z* z@3ql)hA&VN?@j*JaXYSP6VvuxQ2#bYk}@lNF3SnIR*+6mt90@zzp{?HC03j=L_k)o zu|X$Gv(k-lhN6+aS8=uHI7t@}%e!Vr~~cau$4ye?Is zoO_>pUW%_jU8~mdTf6`6m`_LoI$msa9UT|TMPdE@0@~xEFdIwLGCsoZH?&3RgEU(+ zQQ58-GT}(cpm$Q+4^z7#&A9iF%-xF)00e?^IlUgHJ?lW5dLn=|T^aXvebB+Op=1dn zvk9ek4JXmmEeVo@M&Yij>eiX*!!KX*vee(x&7{`r5xjT$l>)B@m4aS2vXxtZ zQ15^R7RkNr>0j>P`oGuXR;;inT^Rxxb~uTeF`Wz@;fXN6U|Eg!hW~{XF(#vrdRC4! zNIdYxDh+sBk!Ov&K2=3`P;ncF1C+?H9tj==G@ogh8F|^+Go!Rtw%^cp{o?emIa*lv zZ#R8rgn)|P39Efl4Rr} zKlO8}=TD=O&Sw#2mhlZbxfU&M94k^9atYZ(Jic#dN3!}#Duxbw$J*Fk>Hp7n+lnJ*<;R3her-BP|! zc*!eG)S;vx1P$l{4J+YOxqoq?HvyiPjh$A7X+C3OLZR^c74tjWw|ufQ$D(bPhi>MV z?%mWxFVgUgQWqj&pH^*!Va7S|{n6{W@B8->$V{w$dt-aXhpt}V*NXSs;$Xfi@0}Rw zE!Lj1^J1EUbXn;Ctkih`%$Xd`$mjLVsb|N`H~!DLY?w4peCYMEBRKJ2IRL+T==yQd z*{s3<#;ae%yt_*k<8OanPeejt$2O^MwbG8KM_`=lcr!|A-5WcDl?$e^6+goN$f4L{ z8%ugE0mIdQDm#EuBqe5>Qo2pkaBH=k$&c5oablI<(rV6#fOe53qnP!=2gN z=921=-s^Ru{FZ;l*Y^d935y)POG%%n|Xs=9GuJWyS5e6F}p#Y+% zvHX(f593*0h=>>7@_qg8yiQHqQEAuS(YtMnmv8x#{lwS8zMfq`$d*beq0kx(QMtkf zWp|Ewn;07$u_3I;0+yA8BO^~q>8AN!R#y4F@-H4@OSlmKdC|F}kwA-TIO(G}2=hEv z)x&TpV&i8VUMCX#nOsRbmcQKZzU|z*Drn;?%1!|3i^0Pt>DwkmR|83No!yymft9o1 zId@)bCRwbrn*S)mljPT!;Z$M-dnh^Djtw9(b}fo@qDwere%oRWx^LYV+?4j&kq&}N zZg|$7^0L1`&AW}T+~C*)m@bx@GIlAw>2bE!7+OBs!4Eo9Mr+FZ5S`1 z)+-w}?Psijf%bqS$8fS#7}V~w;XUBdlCqmiKSdA?UM*#Qe-li6x&(WtKox~*M4vls z{Z|lf6$%OE!X~yyikP%+_0Ar!E0?JO$H44I_=o`CSy*R^OTKe6%>r}C+|CQ^y>Fy^ z7hioKmws?zY4}Y&pNq7ujj_n+7`zR_lP-B-=twt4_064}H)7sC?djeEjSH2GChp6% z|06$r?*XlhW|&#U?7Js(Ss5qBJ^=OSwJC2^b(7`EG%9_ib19Xk>^SwwEbX_f4jhZ1 zaE>JjBx6XLMD~ChqTOxX4Zk8$z3|Z6eFeX@VW+8ga<*0j_Q+24k*f~EOC&kY@z@Dza z%+4NW^z_p1Gh!ci(@JTs7uL-$*T3l3z*pQ7yZZagQP$oKv+$0$MNi4{sj|bB8Sx-G ztHr}=iLtiWft1fb#Vhd-`cT-mq9)A?MqLLjB>e{vG10PpdXYa* z!h%25YVoX+ZeGb6!eN6P_ZN0&yLmJ*`@O^Hu zqZet6@i+-cj!^Ztm4XF!<8%gYt;l|!EFRlr9~Z#NaN9yi+Z7af5hs08emFaSJG;>7 zxYdc-`%$?r3chgpCYOSSYAIZ1rv{;R^l&RTU#rZ>77CDPRm}q)#;A}=>DAwCq7hC) z!xlcUgOwGkXKST#v`{pe2L*=no=m<`8GTz{cD;rkKcM%$$W~7Ci0nYRq2vE~qG!x( z2K}U66pRt{sj)_+RU1wzyJD!%8102_k*UQE5J+Dcx5b}PD$0c18A-oqWAao?vse5PDY8R}&D z7EE}@!SR2v1mO7C314Hfqq2TW+nUT zu_@2BU2SXe7A22cS_U_<99^mf3v{hotZXUbO$@F$$MzmKkkjlzww9aHJ%5kZsRBM30*KCpUEHpyYpPrVZ91$n~-y~-0v36 zde+}g*MpRvYn60PDn`TZgx~kyTOYjbcOjj4UxA0){9FC^TYa>Ec-mPYn(&K#UCM8r zTwspU`ql3S15yJrGS$UaNJ9Yy3p!{3$2lS8zi=9hzyQh;HkI@^KL*u-M#{nUHk5)& z8jT9eAtyKoOMHJCM>Z6T(mz0z7@y9jkIXp-^!3bS^75lhVNU@WqQLgjkI=&5@Q}N* z*aP|ODgwRuN5%ESYO(FPrsZw71!jmwBFji(i8;|~#f&&=KJ+1TzgiNk%H+c#}OcO}94QrAqZYjqmQ@-IuUNJI5_h$ITHag3g!Eu1^wG=9Yj5Mk-q+zF4x=| z_y2f0tFS27whhk=-Q7b-cY{NhfOLp7NOwx7LrA9}ozl|X-O}BSbV~P+YkliK*qaS@ z=6L75pX)xa^O>tMq1cz3>>wsSYqbGHpIWRH1x!!R7I2*vbhs81O`AULEK#7XhEH0g z61B^n!IKzCuc_Dgx(s@;&aD!1HJ5o(*`Icl&=7o@8z(fE1{9#?QfM+&=PxrFDDf~_ z|B8Igum>lN(M|ar8xXL+g%JFTgW7Xx!n2@L@Abd6ZiUCx-d(|Hnh(*$J6$9K1p}0* z*!eoIP-KZ-1Aik=%-Ap$qDno`p%vk_>`wQJ|CS!0xV zipnm5FyWJjRBk%_bYxZ*4Vt&`Lgx7r0}v_CzBb>zt&hu?dA_W_0zLGTwO3^bMRmvL z{|{!pq+ymef!qP(gG+Hr!j126{_^;EzBg`P+#FNm>C6jrDs&_KYt*}BDX+E-cy(Ns z3E_L+(BpoyNrz99M@C1+R{y7zDhFM)^3taLXFc<}pvfVoc)dF>u9NV$SG0bgI))B^ z;oka0rvYg^3kWgqB=(-c44pX7TFosNani*hI^5u=L6!>=a6SwLLV(D`s_*W%XH@qg z(Sa#<)y-kAM~f+7{5fh9TnWD+e6mlJ7R;}hOIO@O>@my3*|j7OMe5@pH4nw~Av^GL zOxZX)(Cr}k3|yPvK*Sye5%0h`Cr`HzW}&ihrE|!g78plyY(f03az|%a&R}Lt^>w>B zU@;p|!6o-W&S3*rNTNMNqJ0zNx%%0ndNMU0c&7TKIxNS0*P|kig#5)nx{-a($B!1 zByY`cQaYrZpb&WH&2}6e1S9Zi(5YJfrS-$xCpMGv%f)6pE=b(67TO->(^;@ciwWlF zmPw*kk?YfXXAXonT`q;?ru}*Dg?Jh7bqIc@d_Bi_57w1Fa_%kb7uBs*Ji|wm>XN%2 z$u32a3gDA{c|3;%KOc=fA0d7tZfVp-o&Roi)!cU2+$AmiC${0C{W0+cyY00L$UQn$ zymh)=t7iOuDA(`GVx71ni}P53c-&Z-A4dq96DeYW>l%dWkf)n5$?e{SUlt8y|7e`r z8#J$yj328W=Z1!xyfFPsOH&6D-<$ur@IcO{(%&F-u@d3O$U<*s9M&0&azloV_@}sV z4pj=Hw$VIt7Pkf%9dlx9v2}ZNhYFg2E|B~YK#_FyiEAG47&$giKHxAkV(_|^lrmmV zU&9kCYBPaFltEeR(NCpwSN!}E;gpA7N?k8SaRrxpF>TH36L}=5fYu*oiJwSif)#{R z^@vK=O&y!Ul?f9c#~WwfRnk({X$q~o>%y~PLN{0vpAhn%kGHXvHM`-XJO5`Fe`(h z(dzPr7a@~XwPPJ;lJSCzv|-NxPAGsInJ_4vKwOOFT$kA0rk0Sp$VVyFjB`=C#cfq2 z6YfMM%14M_Hg&mQURhA)zgSi%54c9OMEU9N`zH?^(Y@TB5;5yJ88ln@IXam&oCe z)#`UnIHk;`7K%>^d)!*iL?y-Fo3FDbnWx)~DFi-qZ%^k=Y=S`H1LHHUTg60-|9hoHt* zor?|(kfGMDK#W5C>540Y;;g)#KQ$~;CNX9Px*jmPSQYxIiFOvv{rm$zk&zsIt$C_% z#5J1gPaI!T3q**dB!@W5oHqCmyxn$(R5SscW&vGSJ^0W8ziP(a_~Ra>cCn^oL$}9i z(rC>&j4910oXL3F5YdQt1{152TDTm>dc(o~7^7+!GbgCjCrQOk*>i#(+I-OGM5)Y!Sx9qC zQxuYh;spagK)>rMoeHq^@e*CywnCtVTV0!e4SU1rjmm#pSP^RU6q8}26pCfDWYUn7 zqi^|7XPP-BZBW9O`i$O>jNBkn`Ijk$k*^@cN#7R)R`J2CYgM+S3a{RcZ#4LE1S**eTlOP$Alor z1uu#rfD*3Fbx`&k;+aQ_;56SiVCBp@ZEL@CM(OY7iOOkbg4O4trRxG~#pT#UUl92T z?@;EwYI%Pbw!v_h($th~^iIWkPOm9@Adw{6OcxSl#7!EgBAlcZmQ(FU=)1J6T`o)k z)<*i`%bc;7>c$v<*nRtpF8qTpv=Xng-CPgMy&}l{g`>YqUv6HW*8(zU-YHutr)?*5 z-2R=Jb-xYrx<}w-{gsb^m*Z#c#b8do)*ib4@~i6vJgz7@FfbDLDQpi_Y)j6?lSAmL z!|2v~uknig?c0}~HPof=b^p>5)Mz$|@JSX@j+6Zl(?~Yhv<(0~RX_d-7W4Jd#>SpM zeba%yC>CqE%q&@_6OMmAXW{9o`J*F<5mI(Lr7P~SfFXocTx?Rx+#;ULxMRXNR^^^9 z_G_D=sX8116spk8Sc{F4@rmk`BV%3Fkb@qrj%-SL3$qRGrHFyHzT5A55LIrNO621HMiH*aaEdJHl@A6#@}-R=-gdT0?1O2iG%bkS17y9-n_GU2yF0d0#`~)YM$edgE~%}!P}9P2vHx(N zwg^*Yow(Unq_wQ|QYkR`({SKJbNfScZ<+96wXn6LPb<^MmDbKJa?ic&&T^eLVLRLW zHdKG#nY!-@0sVIP6uL#n-|I3Vj+C=>k3Dq4SQsAn`vr+$&*pNP5ro7-5uXJpd@dmm zm7IgPvRz}1fsw_xH**{IayVfZ>XNAqj~y(}b{*d)4Rxc~kUNjySAP3Dz)NC*UFhD? zMl2eaqkiSi@z;MmW<+{sCCpq1%=Nw!1@{*!G@%!rW@OcIcc`Uq74@en08rDZ=8+!g zU}D0#^Os@#3J}qG;LAuCCoD{2O!2R(N<a=JmnyU^Bn4d(?#q;NSWvL zb%*e>P7Yg*fgtHQR9p2c0`heEYF6l+n!Kmwp{N~WdzxgE+*+bdgUDhuC(At02FED= ze`=jhY+&^Boq14};u42$46Itkk{qIaiFxxCx)fudQSX_HYfpuIB z`GCI3EfD!(=T0k4cRAbxOfwmg@?Cl6t!`0z)tvzb*hV=n#-^)kJ`x7;EXt;fKZ^jY zV*;;;vm%Vgbe)`>v{hQEZ&aGr-N*%_hnoy{WIH$D!2T25AMtdM8Cpi8aeFfJ5%;GZ zBXF;20rnWtc@wir&k1F)<1kj{s-ssD0drSP+^O>E7UNKe0DoQICMjo+nZMH6q;V9< zx4snnfE{DNLEQ9RZ-2m@2G$W(4LF!&o#DZXIsDo*O;uS9351+$=7aF2i5?bt!7df_ zdhBs2Go;Q$b}E%)H#C8Z@9as6fT9ZiDHOzZ&6yJW)B zD61|-Q;$MXBLbX4rtp5vH;Ui%{BCt+k%P}{Th<`ni)mGB#qfE{l88?sMQ~OCN3Zc^ zU!D+1t&5qpWELBwbN-PLV1lVxbMYwPrx3fgj}2MG4#o(^hUQbBt=bG#SZlE7j8imh zKHkOXL5ci2%24ya8pPm2wP@LceX#v_xcbwW0Dy!as&fGN>~7{VAXzfQK<&T|291r3pZ zz@{k@CNi!RyJC!kV7MR(ya@92ce5v?*-1OH%!1W5JKGtv8l?vPh#z($U5o|Un$q8P z6;fpm7X9lsO9p9R&TntCeWbaAqDpk;H!72^pQ{ztRftt?2o?it+F?kh@BPpg(?BuC z(n%Y)bwJna@LzD~tq2y>8BD$VkX=*yZvHSK#uesa2Sq3FlH5-vXdnM^RO}lFIZQpG z!{xKg%R+luFRJ(==PSBo|4o6=IvB-0<>Q`{JiNiE$2pO!?_NVg!a(0TppoEws}g=8 zx%1HJ4Q9!>EBaHpQ|7SkbQklDxTDv4N0Wt}S7h#&xc^PBcERvF>mUi&W(ONrB=%Lvj>uZO3xAZfBj7wOd@ zZIAuUe}~}{Lo~ITAF+%K8uwxt3Iqofj_rU%ZG_G6ei~vWm30g z6-xgvZOT0t(C&1BLm26%zAt!JJ=MG|Jg&R0ks3h-NsXg&8nOWWViGrYLy#MoRGt$ z6f9r}5#XuBXC`w^!OBH12?y_GzRrF)y3RJ4+J7Nx+l9@}%~d__I!t}(PAY#iRk_Gv z&5odE`pDnCv&dh~sp+@6hPp^k4?HMndc>zV+;S&+WvntF*fC8FL8L!I@GBD8=mm+SyseA?^)xo>A%=5)< zo}?REVGAA&Q$T4lrBgH*!mjzfMro5TuQP2^skJ9|w?y$f*JVc??-+#(R*O(nLzRRx zpigyt&>9bx85rR{v}Vy)2gEZ5Bxm6mlx=CT65TLah!7_QvtSnzk7CjM0EqHbKRNWJb+xXe z=L&jg?$K7AGMW4=Ui-WmBZVWdICqgIkHUYtrT46L^d?)y^8Wv+ot^Hed*;EPf9OCE z#~V9a+k9&2j=M%eXr_3Z$pQ4{`?GGOsHaf|$^U#G_Mx9EBDBs`8baY~sonxyh z*p|IyS6&HV4aEjKevZMCjcm2q-~%haTif-@isu)_>;vN^>bV$pM34B7hPoIyIZ1?$AW>%|==ghz<=77i+}? zyMzIHeP(0=b~TRo4$kqNXkV_NV!-L2WA5Onf}}Sg(yTi;eGx*@Co&j_(=h!I0K7}# zx$%ZXzO*4NkSGq|<&NS}Fc1PN~+jz++^HmN(ct3VJcjR zc`T(?Sm@wy>Zee6W|?!Z_8YH_e{wFbFS`P3L?)bf2j$NPE|Gmzc1^#GmmZv3}?LJ4x+-bb3l&fH5Jneg#bJCd+tun(JV^+nbZUx!h+5#>dt zb>J3Nt%cz^`(Tmao@4<+$0D{Xgx(f0q)@|7$H_5s0XOM0HXWKQ@fAFRiez9rvS@w_ zTGCvn?|4ntnr;s>`o~slCuY0??saDsO3{$xV-J04R3l?0v4qUJ1g${$(q1`Z%L>hp zR@nqKGl!kTL7*>sDaqYICMMaxHRsKye##K_;~$UDg9DP_9jaF>^sCE32yVcpV^Q)g z6M$mYuE%0CzSt4j^f1G@<{`Hn!S^@ll&Q|LKK035sM7^yZn{|P zJ*l{hm6yq7N+~gOWkuY5lA!t52u5gNu@J`L2^VS7f0)y&zd{{49?OSx7ykO~o-wum zVLEr}OnicZyV>t{?4Ng%fb=xO?B{vMuofP)n<9_FFYJ%6pVR*KV(0#5qYX2;`Th+* zBD(C|1&+u$POQH36j}k!e{cR1B((Sz^PGkw0m0KyKl>XBIO#0;Uk=_Ts@w8hVnM`o zo-n-QZfP-cLnb2xbR+!bcJ+J89if;EQ0HgD&TwNxme4JpZw>h{z<%Y3gEk=M$K6EL zieGV-YJ7locJs9OpUH~Iwqj9CgY?5>{Q5kV8^7)Pa;QwP4fdHA!Y3AT3d~43zm8a% zEh6&h68q}_ROZG9?YhQX#LF0zZ4;>I#CcyBoF(+W&+?_2HAD@!-`W~b*K>>F5eg)a{AdB;dfPPk6Vzt#l*V87~@M-0~4lo zYD$-ty`43jfoDIYqij_pK?l7}@o=M^_pIoh47f`_Sg~u7NOPP`gu_0TZR4Ud)H#TR zRRr%ITdAP*dzbBr$CS?`qp)-gc+kJ!)z%mQ+k7Kxz(LTXlV{UK!~uL2pi*|H3a?$E zK_-j+=3L{8;QOWW=5mZ34U+hfTm zhkTUjU4E38leMSjvw7oav_mtwdZGp^ir@Vr&*$?ef3s{JIXzU>Y<@SP8l=TexAupX z4Z1IX=m@NPP-4p9xGra81@5y!HHJ6L5wZO{SGQ^q%@Fm@5dVDlywxtfMsA@X` zl`=aObA4l(D8^9i3uWSa{T1}knjhSP$e6scb!v6w$dXW5OQF*+gNpC0DecB)j(4GK zhJJ$ngrEKMWx4um@a}q`G*OXtQfufneY(dy(JB zbFP6;{dBAB`MWy9eB(kI5lg46)HX4%vlYEk-C87|Vw4LfW%qYw0E zoKhWe7d1SvEk8=LSKfS<&Z*NnjF#?j$bLzBkFv(q4M3QI3;N~15InDo0*$XBeBfvv zKQX$d=pRWTlJRny)^cu+*6R<7K@#mupWn=huui+1MXlS5pkOqrC(C1DQZ_H`x*hoA zqZ)+XXSI`6xCP#I|Ma7DFBFu)bKIUciIscl4Ol9(b$D9bh*eZqp3LfJd|$)=okP+A zBdfV3N}>Nz8a`%`szpbm(SBzCEejtVm+^FCw5@(4*qW@5KMBxlhHI8ssPQy@e(SyL z?7R54aq~~>Mu(dn9J{nx=4OQXxEK9wk=EmLWK13&Cw#cr`g~RXDNeYCI4q7HD4qje zdxe+#`M-X;;Q937SaC>ayrcZ(zC8G~^ev)ovoX|mG}QHvvbSWUH`0>kKOWk&*zc!- zH@>A?!en%-4Vxz^LB8>uekA{TYN=+~K@;2(9@SZ<$SJf zX~4WV$26gdYNG;vKGafp@BOcuTYe#3EhYqBWPsmmC2eyE*N5Anrd_yF6 z8fDGHwBAZ*B24T!lBp*sb@ph9>Md_~;10Lk_&HExu zu9pzv#Km}94zHM6(D=wP$2C|~Au;yjb4#YMM`iGH>Ga10v8SRBjIKLQ#s$wxQj}DN z@_;Yn{+{|+S>)AtfOZgoyUfX!h6k2ZWR)(>7Sb=6X{=kB-qPo!)MsGFn6j_tM2Nr10X2%3cB=rqK#spSJ-@GuF?F%qebklr{>|d= zy9})c!h9(V7+kV^CGKv=1NAV~&K~M|X&8U^-4Q}f2~_zKt8Im?0cWy5e}OTvAR-_O zky&nE{Ev&T1p0_y9{azvP?IRd9RB61$nw~dH)Uz z!0Hzta$dmK9gXZxW&k8VS{Tzc%@aMw!Jd$c-tuy}k=?4$WbIc!4xh@d&icqHcP*U=Y$;}JD5$9VMl7z%ygp@BCT zCqS?fe~bwzoIdo?$kmWkNA}k^affZqek(y$Qb}J(*SxIF9V$DU@(}y*=jc1q-+<$K z>Z(vMKiFzi!J-@@f&Y_&vwh@*P6X=@0{Owj>Z&T;{`P+rp%IJqz9nNWbNjP26@A3N zb(2l=fPy~M?ydglV4ZB^1&hp^?(@GW*r|KJ06yDQc-vlh*WV2$C%+2*+x+kU{iDQs z_@sDQjx9Q=MPy38jn>SsgN<6Qu~F~YheNAWCf~iYN2H+svFOPPr_w+a_eWG`i4kgA z`5f+|1N#XUW&xiIelYNeN^YVaN&rNF&*_|~2>gr{EGd|{m1sh=X%J$->9Uaej9G9CPphQgW=_;%&<&d&4DGSE1X8^V`*jtv zOFt4K-+PQ=WHqv2O)eaq4~XM3@Hj3wj-l5dM5hOoY{|c!A`Nk!KtJa#M+@* z>Xp5l+x0!CNv;ZEKgLEPXVhz29gm{0tiAr|xeCB%2SExlC zLRNd`fCCpH+#{jVunl!LTOAC0qE0!M=h$t;gj1_Wj7yr1&wlNaK+EDz)u?j8t=G0s z%HRaz%E|g`DpTC!E1mk`+}Nixd6q_)pqp9i>ty6lx%Sg!_ZXY*!)&c?q~5C}!=&wN z3(=UxQcH5OsJCCoR;ow@SOKrt@K-=q>4|yH*&d4`I&9K{E zo=!17oxy!#uXzLH7aNgnJ2`AC(_R^$til)#PH$%z-S|t@$HtUyJ({UttOm%E|7}TN zqUy4`ZE7b(zwuEb)|7*p5%7p`8$!Kau$qK-P6}#r_y*1OsEU^YQqhjK;Z`Hp*U-Lc zuOwbjY6f;UHM<7GuS?euL}zN+y0aDgm{H6k`f^Pvku(OKpoofFQV%hiU>R9YU&An$ zVhh&kzEM@&X@NoBrJ6TgVCJRDmsn~VnM_3Scd3=EfF{7LSYAst=P9fce@L|nY>zfW zwbEoyuv1vaU<%FR1U4XYfybc*}uwksocP>CzR;*v`M{mnR`LP3Ahc+U9Qk zw_iSKfgeU>dRUj0iMMjiiRn!zUrr|kDgt+}Kn8bYg^|w6n0Gc$5tBBJF7h!m#?f}6 zB@$u@q)SONMxW%@hdgMXK;ERHlw1fd$P}vdlI&w%!=7yZUZ(w`d4GoMLMEe*2{~A< z;(gXlDq6o?!%!?38alQ`f7OV}i82NFSxYNbDmS^D*%L85+EHVO{=+~UToH;2x* zLD3_c^f4q0Db~SJxHP!u_?!znjV&%L^PA39ne*&uAWd4rh?~ppEqhi#G%5 z8yq;f7srBsoGb55V+4Bcf}c_fiW z)cm_soI1;W2)kN_)WT7;%i3xE)fDrDmhwQ_L3ZZ6^W1jkoHi^2U0Tcmmw5Lp>aEW@ zB_A~BBJ1Su^)T#6^H>-RTwtR&Lz+8;1eiMn-<2>~)EOjNXJoWvmW{=+OtulbMt~8` zo0Woy>PT0fEK%v?02`Q3c?u+R9kEo>{ufiPUeC2?x|i2P&ix---PuCs(}Ena*G{r| z*I%gqi{lUcq;XEqTO74A0db&Jn2ZdzYre>b>;>KNV-?w zaABM=a_N*smM%@R?h#?-d6&=o*P@cZiL$4%yZhS;3M6MGL34Q7#}vu9Fp(Ubj^LFY z)2?$w4a1*|{Xg5-P9-|$puk50*Lf;sP}L94gm$@lJrs`Wh&s5r5X%h{i5v2c)%)#M z$I=WVoQ830uGbN_GIj+IG1OJZ%R6$f5J^}7GJOVK#wIVx9-60_Q`IY5cpe`eb%pyY zN6FWycv|r{QEN%~`ccKL>G<1+Xe-8uY^D|I9+Z6&3D~3z z*iP2`zre<#F){;A!wJTEUYSPxJ=)bTWi0=XnH*0*pJS+Rir}BOm7b{||5BWrGbBZa zxlUAnj$fJ24U+bAlDD5_`FZ~vyX~f-T56NC^dPy(vE_bM*};H!%8`TC=!9k_cJMrA zF`vza0B-+z$n%(utlur(rQp8`@NrfF^M`9qTh>zdq{j;jo5vnm)*k=qp+#G z6o^Q9>}Tej;pG%{*cM1-`7(eBu*$Oa6BF@=@(1(*vje-LHtG4wPhzmrxF&Ve$HXlgpgAF@}xp$0DW>6A&q#9F7*iIY>vnkv7{u$XN& z22@}X5c2MK^e&BUJJV3xSKYW60>MwSI`0`$E?SZe2@B`wL~U0x$SC*DMg6a_NZ@;> zkZ^8DBFBVhtKWzJlt9H)Gl<=SLokMaqgX{Kaf*GW9Ktaf&RK@YD67P%thF@gy4SR* zTKT6%IfuRc1{{K3OK@?r=#aeG*gPPV+&7q?Vdgj=*^l_V(XSKjuzMR@F`gV+lapwk zi7|2yaX~Tf{@zH??N`))%TQSSO3v4p`Po0z*`s`U-u;4Z{O9-kCkAD6hKRBIk}*m? zV`}d`3Gy&ga9Ny3_7NcI_WAVX8Bd@Nf2(=z=>+eld28rZ|IxknIIB{XSJm3im?P7Bru*P8x4|2EiTc_$hpFv%sap;BZ<%!#4y?6iz3)@FD`<%4 z1Je0((EN2bpS+cqT=1}{ThIx)?lw^j6OP)jj_PT7Kj8fAhXbYX&ohR*G-z0wJ7}ca zRKnX%19Z$PF<4I)2(E$7(*Q(ia*ueowMhA!&Wn>`7w3%Z@S`H7uMzT!z$|PBUNack z+IDm-$gk`q-k6_#LZ`Z*%gLyY7J8le7D71H5VOV3=|R@K(SE6Mn~{`xk*)b3XeV$) zk?=ocs*74vj9-$83TtP6KNH1#G$=qUWZ-jsXc#8f76gSavNJa?THD~D_B3SkjdqS& zf!>dfE21np1syw)$&u$=R-!z#kDdo>YKv41YL*HRS|eVU&>SfNMY-U-7X1AK95RAJ zwfZD7sdSrhUr3L#e|hM@MM=uZKSVl8K18(&N0Sx|uD1y!MC{&&S776MOEy7K@DO0JY71v5NZX=>ZpTH@-%IU~}HRmZm&T{gq= z{EYhru;g=-yCVwBc6`X1Oze=sYNq!M7<41ZCsFRBwQWw0L0;T%LS{v@0cV(=&0!yQ zIWuX|lZnz4xFC@`4hIoPxPOS?aTBIVY$65W0oNRb*->97M#JCvW%k_lIKfazX24LS zL01GJWw z7{tEH>2my&!(!XIK*uHQKik@2=bBjzRv`W32*W}y75FX9SYz{1a_a|-Z*6#8Q`d&}^q zGN(n@XO30{X7NX@MjIoplE@6qMnyUt^z%{c(Yn}hV6Cm%p?d0_dA@$B7ko2;Ku}h_ z5&BTRq^D!W;VkMSEKnb(aPI9_Z-2fKSW)~s#oVFk*-bJt4g;76*oVROLe?)- zP8oR?$c9RD{NVoUj@v^}@KOC}X;!8UrMB~Rjww}Z+xjL*R4385>}m+{JyH{bYb5dY z7TLaZ z3jFVB%$gJx*3l<oJIV1SEI(Lu` z!Y9*ldzq-2JasG=L;OGZoliu2oU>RLCcFPzt1yU4qF>z|6W zqK#3S#{5sEIxk`xzP<>mAmEHuMpnRWN1wh+bkbEc%Yrz;K0C;Hq`BCl&WsHp<1T;r zTy@U5Y@}rq?oxezJMCgRVJFjWTB2f6M-fFQ_D%|iL8b_yr@O=V$I=5JJF1Kxbx;Kj zM{I!)T%#H}yKh{|-1QSJ=ebnU-RIe6&w(`2Td)&b zPD@cVaL>fkb$z?gQf9cP)%)3cDcYpJ z%r26W(ABiUNOI}zfkr$3!1bR2Dv0LXo7ZFOEJum+`^kqp%=nb|Cer_;i(ZtNZ=_m^D zLDYRk;nfwu0{CM6-{~ugT~CK-_=m_nxN+%}q$rBt*{fcek7Xh+WVF5sP%!$qAv`_s z$jq+H{1sC%J*XFE!q0X(6W~eP)b4q>FBitZki&Cz9s_?6at$tMN=p-Mg zPj{ZQv(v6bXg=$K2((9A!LW3BSdG`8WxB(UZTn_+7kJh*&x!-v8cF!r%Nw0s;KN+* zt}CtQ5LHuAch;=4HnBIU?I3ysLJQf3vnvJCF$!=&0t1s^{De zP!>>9UIPJjs)zAP`BqJI<07;c*E)$O!hLKVdJTrbK8gN=kBY{wyH0`v{Yo|!dCuBi8daJL}(mwmgJ|Tf??z8{$r_vc{Y#ULWrC6o- z0W|}!MjE%B?V6jOwS1WzZAW9RTAIy`U)Li$&nTekvqf$g!KVlcy*kiGRhdYk!z|5H z69t3;DO^!ld$CKq5+sQ9WlgOXI0rqf4ab;j#P(h@4a4lolwZZ$6&4seJqp;9-HSv{ z!{FmV8gf#G-wy%2o8IT8Cqh5!sHTN0R{32^l?r3yoB=Md?-cNBt$wF?$gUgllWb4T zO&azgqy+yPaWNa|2bV(8c=UnvngW=~I$Fn|*WSctTBCnXzb(J?<2yw3Xa$X!7*F@B z(Ku*efA`*zR@!@LBh-dwT@y%;&;=GDx$g4>_ZCmB5IW#;d8cE7I_N>@~bvFLZwtT!_-b8a+t z!KnEm9!xQQ{>Z#EArM6W)Y5k`OHR%dPFY*DPMN_6_MH5-3P6TgYqq8D+Y@*dtnI$v zFcshkP!|0h(%=%|D1&4z-hr3qemF>3Q}lI|o2OW+Yc&*SIyDW6Am2rGw)-OSncqL? zfmR81pTl;M5e+hzv~k)wq&JN2J*2aWEyDK4E@pEIwcQwifFT}h?z-w}qB+tzGx{(* z_Bed@cap`5_daRd?JD|E&_xgEE7rgIX`t6RGN7(EWOlE(`x+U)5+%WHr)YnOcAp+8 zokQCSf?H36YiB?)e?FLEx&l==53poEBpWOJZZX%b&rdyN>;zZCjWFYys3H5FqEy%j z`b7%%KYYRu$ay@0WsO6f0C*0P`$FOY0loVKMpF7RF?z7bhN&UfZ|-$eDr~t#yZ-b} zW&3V+#^8j^wuZ3?Mk&mEeKH~QYBsSnP#b;fRt({}Fqj?hDFm!qlv~jmGwr|@$gnZG zn3re`q|y0z+Asl{bE%FY2%FDL!Wd}uws}M>fR#RXb$r0!PDN|8cV;&{D_~!0ubjh) zWim`rrhDuh<&r~ODyvSzx?^Yh9*bTVgk3eL9cY#p-_FrLZ7 zS4%4GZdYsNbmR2Qe9iPdn@Fh!5qJve=B@F0GLZhx^=jqlTF82+?eq?si4}_kuK{t> zJK-~Cf-dU;)`Q&b0Ysek0_ zq7C1h2!Cgg?{F#Q-hKo#@=!H5p72Hy0cEV=N8Li{&H09I_!3rZu+96d9VmqS#!TLN z_)lf4>tdiJqf`6wfwl5@jD|Hu*?6F;x)iF3{I8U~SRz04wcfh^SS8;88r|gUAW?^T z3?uRv_s8E;8Tb>I`|E=jD-BpBVkN-^@i#Q2A$#-Y+x<52w}QZ zT!h?NG=;zEWmaW*>T~BC!e|`&9vOm8DL^;thv;ibKv%l=HLHGkfsU~Q4M(^`!tjDt zhEGw|;+}`l#6fi_)9u{=#8N&`0;e3g8YQv2@lYwKH4Y<~OGEe<&rDawt5N5G*S1{} zt>twk*xrkO(mDmV!;3O%du=s>?|p3ji9{sT)_C6I^}QJsNo6ZXOgP=aaTN8T+Gzur zklEww9!o)8Z~KlhYrM(H z;cj@`EBGIV58tT((oQvb=|y_7&`gRf-YRTc!ecejc6n`IbjS7^p9nA3UK`6DvIccD zfpS0$moaM?FVPZg6k78)&zjMD)G;v~hZx=hw3u!w%L>wb*A9OA1CO#{NK2Pfb*kg5 zZCjXWGUgh7oa+$$i{d@u!_kW|R6UZp3!hi>!^5}T;Vqu;y2xorgi*kCkJ4EZZexe0 z)d=1q>2LBf2I{Fprh;G+rENjfYDi*;q2=g9Llh$VtNejX`SphH*UNqMh8-T6r4|wE zu6Ts2=MOa|l7FzU{4Te_)tG2)mn?d=mt=M_k91 zpd*z^tnfcA$6smNJTKb&8>-T9+*qudjRzlw@qnK&To(!Eh-Tx4+HOj_;=r%U6{}>5 z;gHG`rs6&G;djX7X#_JS4++jP@h&!rgPusF>cfbsM|?DPMJpp|5l$V2TZrf>jDIFbunk>W*aLmckzf(;+(ego5pLtIau`vcgm={T_^+y=_3x0u7ks)t zGBD@v0Ht%I;Eyl*{p6ER9Tbg`h9PzdzZ6ScK_AaEm@2gYfc?6L8`p1k*;5H->{^PIw z)Ie}BqQh?*m5WL}OHs!Y2fOmVY!441EW{ZslTuMBBvJY+`kYwd_;VRN?EvKOa)#bc zx+u8%q(HkW3~T86QT?^S4&hsB&{qg-=)s(&M*L$PGPtzV2{N2@2q#(!6|3gez!sZQ zNmE{ZHIHY^0o`w2Z+w%~PA9^)CFq)-f77R2aI)@q+vxDLzb>71dHK7Y2GmXzt(8|) z!}MQH$2tM+wttG2@;s%_aw8=N{&y?L#3Zb3{MVNl|J_10#$0D>02APvO0|AF5sF>J&%Jb z6%An505kYpG7EMVcs+*`{!QGKRL=dC8^gI=niVf;7WTXb=$7ntSVyEwH-e?CoqR)*)_BN2Eu) zNC$p>>kwxjN57nbpUZNh+ZTYSi_0&lq_$Em_H|3HcAfSDY3-ugv{w|F9<&i6&k&~& z9T@VrT=~w5|Ju}^vix8%S25i9^o;-gKb~OtPYH+6_ne z&>;Ef>m`eQJ~F(yeo4o@+lmMM{>&vwG=1AoZP>IqU%5X_cd{FKXx3O=k4wDq{>-|K zfFZ`?*@W&f$-M?~xa+-X8{}5odW4Lri8qlEw*y#$Qi$h8p4E%!s>z{& z-?AJ`okck7hbht-{c^QV<^gu*ag`iL_6)60TlRHVlrxpnpFve#kEA7( zT%|)T#KeX*l~nSPWDy2GgHPAa-$T5PW%i^p4ZjGbHC=8v7_IFFg~kdM*ChPUNc&oO zW+AS?H~h|H;dA@yq^5fpBlku9sz`RS z;v+UO4@#=5^9#*0$o30^-82Qso8(BUBk#H)yNaTbsHUo7U0$SZGNR&we6e)nzxxSS zxEM|2@U~`U*I9>-&~~V;Ri`pTj>wM=;4+fa8cj&qOGeYG(bxBqO1i<;9M;B`80wm)Z>gOk(nRQVe)0b*nGO zqIys^b$6r=|A;Chl2KC;Fgk;nh7CP3aFhL_V??g-nMHdiPt4I<1A}z2&{6NP8=Rbu z+!W#zR`^Lp%trgtw9n9xf?~^Ve1~FQtRN5nVp5gZ5mH_Udc#lMDu?>zR+it##MX=m*#R?qWqT8e*!}ox5_*tDoX>l zJ*m))Um)$>mH~ZsW>~cGmme)!Pw&iSU=bW`V(=1WmT=NlhFXwQj}54HHw+NRxsnxV zD+mtNSz*@gtfB^ea<#tG?rnaJIbA`JoDNr(Bn^+s(7eGeP=pmW-hS)Z442-Tvi67v zM&m!pfZMJUel?J$F=?&ahYgekn?il{ zMBDclC)h!^v+T0Xun?AP(mY;6m=0z4=IxRz!rqzBQUKQM%^HE zc>)1`gsh}zH~{8DbWmcMFJ)Tub&KeX%V$6*#HvlvQsunR)VJWfHj7K1o>8L_Fr;p5K;s@ms3xN` z*QQ?slrXo`)mfPLl=d;=O9C=aGN}~(LT#{eh>hP>4_xw#?9(N zsu&_83B-4KbuoF5Fz_SDc$}maGQ{3DFarM_jS>MjN;0Kbk>1y=bcf4mk~ifGa%RB+)*kdh zUcK`@T79l%^-6M1K_K4O!5gcFTT+|Zh68v&R%`kVgSjQ9PR#LCn1!1u?xO~zAI&Zo z`vr*kOQeplfxJ+z!t53cA7B4OM*$`J!_%KDTO&7Y4p0DL8LW-1E+F2J5%9&vhcxI_j){f#B7HBv6>7xd!&peHEYI`~ z!W4}+Rd^BSeq#PTDTo|qobHa4Y9((HtSr0TI+c&Ektt^hq!wdog+*8c08thP1ItP9 zI8q~^TX~$v(o=XVHTI+$*DGY!@!DdlS?3j7e9H)~-l&%D8m`CF@U2X-g;A1b4 zbCtLR;g0SxX0qXTjs0Gj9&W>Ii61l-O1GQZi(DQc_o|mLU7w51@xcX$N3Gd3 zUs2J3c;%j#Y@eN+dXE*pi<%#PtiJcX6zDp@+2;5Am#pW`kZ8Ww%Khhx3#|&zmN%5= zj^c0sKwei{|9EbK?nm0BuCPGIr-~0`^k}OdXo_sF!gg~QJ<=D9Cb@vEI`g}<2HtYS z%L>#B*Z^Bq94A^JRbk2I=9|I>VkK>h92)RhYA%~Xob-N&;=Nrz5b+Cg`Xyv_va3}R z@Chbr0K4(ssUV0OPPqajHI0lRRQL|Xj0QH;lG1V>chIt%bnrQ zOztUkf})DuA@~PX))HsxZATrM2c^vmco`Cd3!I~GgrJvn3CkybYNOI zeOb$XU}c{uhWFPsRb8aLPfSn>T4Vnv*RmTb%7G?H%h*0WzkTG3agM<00HTy6Z8y%!x;a7-({&T7t(1;ii0wDdr7jwRHg%1~}mwFwR*OKj0R|UzM*0bN`Es>G{~d zUeCtW|EmHa-G^)BJLlV_gstm$N93@$2JgF0`V$tBt0>jG0Dkrq|Cx0Cen22hr}J^{nA}O2^S?goBMPwvuwG86=;6zQx14M8h zGI7a^rx0E(V^bheO11$-IxV(x$b&t`9>3%{tTjJL`Qlg5Y0^-O2K^EDDT~lfBbsn7 zu=I^&x@@@;W2T*enT^$pD9h|TVh70QyH(uijK60Y);*&YgaQY(x zrSgOB7x$37jUv^b6}a8MLPN>-tRoW&*TKD)@MBsPScjsgW$$ zqxpl3{-t2?Alz(_hb2(+^E*c(RSxUwp*9>~{jy2$Nh`4}R6}hKs+E_gJng?aP!rJn zVTn8V9UV*)w}SkL+(2fI9V=zqFc+()@F7F6sN6zV zv3Pll2qJ7Ns&#c`)w{?z(aTI-K|=hUj}`&wi4x16kQO>3n6+$rch5!Y7E|qNcfV0Z zEV=heRuz#JLQt%>&0E$VEnSC_uxgC<+)eQ;b>9dz_?`al{#jXZK4OEO^Coy61Xw%H zje5S=W5J?~;3FaiYK*mng0~8^g~miVp|Zu2ZzMj| zvzt;%cDL*M)>Wu?W))kZYbM^pDF+~(_!N1%Or<#egZq6an;jhyi}FRK@Ca*95kLFY2BKMmLmnvm z)^z+?k6E*+A#+0R@CK@mGCd9zl2Af^by4Aaoh(_cIT$WC&3{bsK;GZ5w|fJka(B|- zvh9Kj^WhW5)p58jzux+|P$>#7WJRR~zKVbT0;ZK~duck{r1Mw1fa*hYbP-i}=C>D* zFGdd}2}$|Ig@N)JPrdM+heo1EDQWpJ+bn_~H;7cRF`dG0F?hi2_MJnI#dQJF0aE`r z7l&q(<85nqP+%Z-Pl}$q@zlN%MX@3r;%be_>AT1B`CFM$!PS4Y$+J&rCT#?>R4j#6 z=9=op`5y2T49=>X+@&a7*Jf*x{eQ-$qe|(~=Uki|R|jaRQ~?NNX|lMGiEw~ms#4?^ z%gp$~Nm680bC9W0@>fa;FHX0@VA=%sqj6S#`UwsztejY)VqyAByZm6j(0BG8+p<74 zKW1`@?BkU2KE)lu5#y}~qdFso!&mWC(WhtRM5Meg=Mnb?u+2YI@u@2jj)K#IZ9&B{ zgJ0=$-3$#gI(-a=0N;quiNu{1eAHApP3yV2WA@CZ%Uzb49Zwl*E2+Bd*`Sb2{zXoTvs0ny>Lq^NxYxDz8 zl@g>t9KnXEIr06hcxe%==V#y5?QJ4b3*xb&^)3#3DU1oXd(IZDB$qV+e3~D+V97OR z6IsZk`P$)570s{nnn7y&JXse1bk!lzoD_UlGjcQ5$UZfI>sC1%p6c1a_B;oe=PxCPbJ>M4bZiXh3Iaf|!m&uM(V1bwtsNiEt7uRt;waePJIO^!usFTk9_v&dd1SFaBF^3;7)fF)}I*c;|94 z(3!;JMDTWtwfoo2rBcZzl^ug1bP--X1yUqqBx|FFWC2}H34>9Zv1u3Wu9u3#jG6!g zTezRl3}P;UzJCKS;LSbj4ZL;wYy5l?&o}*R*eaS+O9utFQ^_z^yzN~}4Xe_E5l@M7 z7Tu$xd#?~~myZCT(ex#2+Mr_l66w?T)zg3#^uaXfk4tc*Wv9Nb%d-xNOk)Ch7k8N* zK{%d$$!Cq8pRv)K%tRG=#(96CuDTSJ_{%L5Cr7pTh#(CJsq5%>IXO?JV_2?7=HThJ zcxq%z*G(qFkScUP;4bTV9^ZW=l>n$rDi*-5oZbz@Yzw9wD+ARx24IuCQFlHeT~a(t z{M0ZWalEGNeEL6H=T$&|s(fkmteNMa< z`)_45o&n&*NneCeVxg3zOb>CUdFELbeQb1egpPbM5M^}8GDzYLF>cCy%3adcq{ZjR zjD4b3Kj^!Jm0aZF_BP%JEQY!LDPWzpb(yF=1~eZj`U&^?34O=eMga{8!n4f~%QVS!#{cuOEXKG2!jm59|jYrdvs_c`~WVsj&p5#@;kzG-Zfl&Ap zhv4D}DLm&^OT>+VL#WGqv@s315V{sl&u5$KD#Zoo6$OwkjWlkuwYnei|I}R!XsOVc z-9A^Dc*#YvI+nHC?)RV1^ViZ(>@hFkv1D<{X?@;67%p z8D-jok~FiE)uZ%j;;>xB-9JOwAqFb1V27;5PgRxCCZ~!Op9K(q&8ZHqO1>HiPq0aL4hOd@cF15FoNx zAAZ54Oo@+uuQ{g|NckP~-6S$iVP5pgk9+2{?{^qVISP~yhARZBnBMhs4FctdXI0r9 zid??7Tao;BvA1_~L^~U%E=?X;(W^BQNw$(UnR+}z%#)iZYFub;LIBOEo{-r$|9sf~ z)AAbG^w!mmoDda4dlXrZFjAE7)8AVw52_IZ7n8uyg+zQ#GRy zdAARxEY18c`6kGXgjsCKHz2T#ryH>^mWE`&Q^ z1FD_?kMM^gqcSM-8SwZXz(|dgXlytm(vT-TN=s=E#{&PPH$MxA#M-q?ES*WePO?13| z;vd`c0BWGe{m}bx^o{Yp#@hq4+^1_Ts*H5lXKE32PT~1k-ktHZ3vW4vu&#y)S{!pG zv3vsCc8KGgv+`)LTlTZ+4q*x1wh zT~tE^0x`R(D^S&tx6BT&^ingk&qGj_GI1#gi?*O>D}NDlXVLpE5$MeYnI>neSXg$hd7q}WdHgMN7y&m#Ud|bONdu^ z92N8ynqiuk{jOiXCY3T_ugcZxZeW&a=;hHO=-OGbUF=BnMVY1EO~W1{@qM&w{R8qH zfFGca7}5+w1@)NYds=XBmz3u~BVwiaywGmzGfr1D zS4n&&jV`;1jY-aIp2p{BI)=&l<*?~!OC$LRzx%hkyCSZi<~n5OF++v5zq~h^(hk!u z?f4r5?@-D41u#0QMf;E>745R`P2%pms3o^iVD+RGf$!e^k%oP@1PTSO?}));hgq4S zE}HOPRg2x)iM6Yo8=R&QUHW(8q|NEgeVqHa_ED_8?{Iv0bSQ#EKy|hGF7rxaWcT5! zRKe)-TWv6FR~ZvEOqFwH>2rmtHEuxzA;Vz`_p54UwZaZGajUNFcYQHUR_*Ui-}M3t zPMb=#AKo8v^QJ47SbfP6j0h%cgk{yhvG;HDQfmD;Ah+bY!L!j+gQYl+c%%r* z2tFZZw!ehbU32y&#{xxMO-2exwfgUWc0A5iA*wU#-j_mK%&(a1Ew)X!f-$Cl%_yF9 z+g2ZU6V!@u7*tv3IYs@S?<=y7)%cM3FIFM)J*Zg|gnaSge3!Ji0Bvrbgj*)=!f2v!n@>{OD-#es ztS3o4AH&(@g>fdkS_M0?7ZUCYvXHm$z(HhcFF$N8O~<|ysl$-}v~Az6hb!tVz9|&_ zNN4C8ra`AjGf!VpT*UGCIfD7#vn?_kqCXD6Oy?hsfI*|bd!M?Ym}Wlv8Ot4mffKPo z>H?LNchA})Nsr91Y@4VI%o;%35BY6@12;n3YZ84M5ysAW5QoUC8I^9y`xX7G#}_MB z7CC;HMUNPt!7GP?T!4AO2ri);D*9tjN6f2Av`T6?0C%JuXMpJ;*YtaP@6gWWdJ<}% zYv?b|Gk*f@h6;jK+WS--E?vx<#Z&HyxG!$x)sAg--0F@mS*h#I=31JUaRtz*qRZv^ zC6ZFPJA0AXEW4M(!t@KW&R6;2qYT~>BxX2{JdE^%B;L>bd0{EoROFW4FgfgGJ`(vT^>C57nJl3vni)tN^Wv58vDQ z*~8qD2JHhkV`|v!)s4^_XQ(wV_uoNFM3q4wLCR?`0Gv}eol9K?GS6tda+;S>l^@{l z;oNzIMA5pvV&8Xfd!7vhUylYI^kI%ZTo`8Mf{$6b|s#olT;VYPG zhP0W=-|{>mv}bC z2UEWc20SYO!l1bKfDG}crHP>S&8d1A@8gQ5X^OW?iouayD1Qa4nppzq{f8`EmHcp1 z$%pi56F{!nUpN9o3bcl&vbHTJBVJv@m-lqZO7YgAI$`Y9<6&bUX3}V4LH*@WR=VG{ zGYo?_D`5Pi9_(F>&x|3;qH*WA`R5_F29ZrEM?FUwp`|(cr>IO;6&#Z0ZBkW1raN8T z_%fX8-?`Tm{1_`gG&$_T%Ii=~f?>LaU(^hQ8Hcl!xvcLd&3z(%^+iA9 z#aF>{XWZ=8MO7!Lx_NpZO$DQ+o<6*Vu#;}92m01qQ>RBZou67`^)iK;FN3X2#`sV~ zxvm^ef+n<4Z{_*uDS5`=e83f&S{gCVQ}mJGht-T08ce0C+gUD6Z2z1z==RQr6RXedsc{?jF#pje6E{ESnoyrPJSuBjY0U*alR)I0U(p0_Mm5sESRbTCg2Lwl~`^M}%=o7a+YfuD@iv2y!EjdXLhu7Rp z$@&qvP{n)VA#}v#2$1qTf0}^r5UQQehN`cLG5)9cVcqSwkSA44yye%tb|jN?leR%s zlKZ;gzU!FSemF}^3a=vA<5;~LDIx|0O%;`JhptcAbM8h;wooj&SNsv9Iz z7FvxS6jPdHTr~lJg{Vt>2Ap5xHWoX(Q#BVx4`c+onkV{u3jP&wm&!S;EIg*Q$GL#TBbTOJv~`|KpcY-?-#sLG!oQ76Z*k} zfKzBHPZ3d4ikaXW8jSQ)`N<<{PNhbOJWfZK&|8Lf3CH=Gj0EK)Mc=K7|4qfK!T*%( zbT}svqr2t4XWYJ?lQud6N(|>Slu@d~NvOi?sc?R=w`x>;oR2Sbf$?^MaVXNUBZA-g zwDm7IXBtWTB9LySaXSiNV&li#eu$gS`AOf0iE7ch+%Sq8_g%MCzI+cLdNO_|CWTDY z%QK$QHmm%#V!x}m3nnpQd#(y$QC-&+Gn7vNJCYZSktcapR~bZjL+<6kgO|hr?yE~= z97Kv!jwD*|X8eFXhCmCHU-dgpJX8%=lx{YTedVS>&@nvSZRh^GY}8Taku6* zvA&+#c~};`3wYe%ENO%GRkq%zJ57A&78BOiROu7NjWJV0gF2HVkG@61$B6|5r`g?v zZe)&^M5t0oj&N5Fwy9`BPYS;^@_?>KDELCg3vJ9j>a(pu*pkDH{>K)x?o_|k^OH=B zK*7Oce2PlF*E&UN?F7sKRs@o|0rR8!yCVAvXD^SDoVnwPID}KgS5%(}04c-wi+7K8 z*O@_;@_}c4l#OiXS`Y~L3kd_=K|C*4BM;f)tLQ*!;b3{w1Z+r(LkAfB)R)WtoK%^E z^l^h(X2F}JF`B*JbKH2Q}^ zHTz-ID(@Xk50v8ZMh#Wm3{^1Lkk*y_E^;mO*DeRaaPuAnV=n8$+{GUoUalDzcVJdn5XC=hWr8#;P5`A~PRrui6K$_kzuj{VdLb|B z#l<%MzK}DS>|o@0bR-t?NWK~iTLtC}d#;fu@fge+?*_;cuv3mK&ByR-R9L#?R@fUF zWV;$@U1CE7xLp}yQ-q(%a@y_98PZp3cy8jT9K_w*U_ZBDpaE9)S-BB%?pFi}^gdhy zJ$|p%dnWqLb>e3k9y%V758=mSMYA$3U-mf9TNM`lEB#;5MJ-92Ij}-(FWpe3cKaf6 zE+5CB8-5qqFW1Eq?WsSn|E&tn3%C7yyG2ep%^(x6Geh902E~{)X-Lknm#Q0#v^ux9 zbS`YJ?Ds@}pgNXb1SeCMIwk5)t3WqjA0X_O7fn$tISqB;t>tzeoQ6WBA%X-9O z^ttuiU;K&PZTtBYF~$vIGi8deyi@?gf^TFRlI=hAk>H7X4|n|ogD)saO%3Zvq0xL$ z!reP#0~P3GJc_N+7xS)k&WPEC#F_`%=9|u+4%#x~M418b2nc2CVUUDbZ7fF8qV~3# zC4|e$QP0w(Ak&Bik9mJInQ21AM0%`{VU+pX;{;(>x@k(#QIXm%1GIs5kuy_2q#w3O7CM)TkdxsUk}e{hG>FkL~e zLfj-lS~>Ms3?{2T;v^5)d;~%!(Mo0AEehRID>l6JPPp*(wBI?4$xW*~V}^PPHQN8m z9o1~8P@{V)+rg2FD$i~-)(41e)-JfE@Cr2w7!|*6HZ0ZEHwEAEXv|!&XOv+W1jEV0 z#s&qSJ-$Hq!#~7ga{h;Lyt4XsmHpf! zhgu_B>^DCD+l_uhm)+g`BLH`;b*B9ae6i@u{SyCf2)qT5r^m8YF?j9P--)3KPnZgS zxZ;3UuWf##d6m*@uNp&S`1HUTtLzz3jw4Wgej+7L4oAy-)radr@wo{8BbfKEcGsl# z6;=Vr?#nNY?#ge}Tumx>B@GJj)RLy*I&dwjl4=kR3sDQnIi5Ny%#?7}FjU!>c6ta< zLE2miK{o48v^XyYe5J9?X#K@=GR;of@46g}Mmk1;_wQ51ZZ8D_rPL@-=G4z1#4SPA z#Wovpm#cN9tmM*6pp7o)agPs=D~=EVNEZ0_fu5hMG&ECw91Fb^G|a96t@ocm`9ilK zF{A09F6`Z1rk_tEH5s@PZBR*IC}u=YRjUIWEt$u5oHh;`{~%ArUgsF!;i{(KEGVuF zx2$C5hbDZE`iqHj&|X9o15}80q-20HaV?e+b-mEq7p%HxE9*cZ^IY2UxQ6|3Xlvi7 z@dR=EuOunlaFctsCY~(+5IT+iu|2PS95c3~eVU4o zuB44c1WR&^uMJOPg{rV&o!~zkm0# zSimZJU^~Yl#MRD1T>;!L=oxFZH)P4J?JZpd~%W)Y44Yf?aHp4dBq&_>>-c23C^HITa(CB392 z35-1$*(6;(HKB65;G{hlXWCp)icHEHr@?uQ`*3s!QkW2Xwqu4yGx&z#Wy8PgorO2C zIh6{iOU{+gC9EP9EDzwZ>-B7Jk6Et!Vf2-9zc~rxj$+MGEc>b8Js(r@pl9;s=#CJc zRvP$kfj|9=P1A=0hEfHtP&WSa;-5o951}kJ1}j6|`5K-VU9k|DkLP2@1~QAWmokTc zXaCesW+>@+ZHP&QIICog!_0)R7t0KxEH+puAze`QtlJri%yr)TiLdJ8_x*J&S0*(^I>#vy{!=t1 zZnSGQ5xPF*kv&CilshnEF*F_IYwur&Dl0{-GW;>zH0jm+Z%ZLCCekId~+CGn~7UXcODe{^C^QUXgIJ`>HAvrRfxlf07;;b zNV_~a&MwXUMY{G(96pl#d^4tm4k!`}}+Qbz+)J~5T1W++rM;Wh? zByr7b4ZhojUsyOATM}A^_r=}ZUGtxmP0yrx{OM;kY3oV(c_QDlaZYS2+(wx|u#>du zMCyn5&AydZ#*54Qkb3yrO`Sp4>MFmnJqAenu2-xmBu_2_yusLCay--`b0&8- zF^R@~LjjJ|yuiF@>nkdLwNr{^q;czX%WrlyxKc2J;AvKar7=1{!3EDLq-sYr9mk`^ z?0GaBoE4oi?&-d8;4zBS{=lU&mqU;n9sn_G}BP1^xD7qR*DduTI3_8nZR(D}T_ zAwelt)_SSvYyvP>hfnyepTeoCd4;%RKdUek$IjG;;H8KT9lK4&I<_Qq;TsPRG?wA0 z3X`Nl^ws*f+j==3j2udcdU8jciybo;0PSBQNG0PB6FzBAO3CpkH1iHCJ00dyCB~Le zL3`!=lWSV-_F)ZFo+GU`E!-)Gq7JH?8g$^e3JmJe3kl8?qEA@R&dmXl9(Fq(A9d-R ziT>`%oQ~G*ZbE(MwRhGI{B%#NZrtRM?ISIqjh&_sv9+15HJ_81%~+UXhl>;|QB52V za9EW2$q)PRRtyjx+chJqdWg{dnjWGOOmF0pV%uGcdRh(7*X6&alk9#{F^2Xe2f7Q$*@G8*ROkO`^Ub6>OE5hkxC#`Y9`t0}~3fzW3GjL|A zXAW@ul)p|9W{#3+_&Ax!e!u+vEPY>jDQgzbRFh8V4Ucluv(6Z*!wn(s#Z2nmxJ8C8 zjq_h9p2L;jmar{S?rB%~&>Z2QPc%&;IGtm|tYrdRC4#mbekSH{IIZr3mRAOD3(I(l zOKrWl8ic|nbIQl{h}qb<${7Sj6ZlR%YsQUw|43^}JpW4>+nR_vKPw(* zH2QKX{_U^1_fcsven6GPENRKV`=+rc87R~4Vnl&7sJv;>zPTAkH6$EQwL5B)_l{$; zeh%44CSzzvS~wJvsKyvK!pflmX#QykV^W$HOGz+(x*D&{0DWGy9^_vpsdMtc(Ck?R zKm(JMxIdprXsKWoFTu2USGnGNjnUAHCC(qO8yl<0*Dysolev%kQsJpcf*AU(86 zi^mpjd}Yz^5JjS1r{u=^mf*Z8E;PtohwOH1tqf9in!J6gUxKucor?$=cX8tlJBo3; zZn|N(DiJ3;&#=# zaJiQF5yN2gOhj1g6&|^&g@LO=2U5C_PjOE+fB7}XJA3@(L!=A3%avAf&C`M6cEq#oQpibU9P#MuQ z?O~|M3IzPcewvZza1pWgiqR=I^%Vp*jhcM$ z#3y#NKf{F3$yYptepqzktkvkPo)hmf<4!|A^TJx^DpDvp5dm-BiPol{zZ}$)LFgpD z@z<+g4yU*26V?uRHN=$2McbaL@?7amga0tVv5G3XeNo96f$8oJE*G$J_a~Yx7QZRI z-ogm*y5~cU+qhQQNPPW=7jAr+k$Az8TGWE?xSDNY5in*TbH z-f6DOx{DA9R8VbK4t=dEJM+p;B-;V<6iJq zM2OdhViQ@?z8xd5S;*bzd(?I3ESdiWbrU0Qkg*%VPFB8{Y2iVq%SNJzU`6i4*6txNS_V)O(;C4;f-`(IXzMcUJj zQj6#uPkiDS7(_mqVwC~WW=#{uQNUr*Y)Bg@6&&8!9wt7xq?9$U+|R7`+sz_<42A3~ zk;7mb`ud?c!y>+wMQ2%NS^q5)pu7D@a#iizR#2Jxjl`WvjfN+6GiS4CW$pvD8Ahi@ zUXGdpkrV(+!|VFsJHJ@=SRJWPa!tWbuDSU->EO64nsfFp&r2h|clbi8sLD((5@|uU zg7bX++ui#j%$JkGk;BfC(nH9I;e_1&I|!E4XIozs^|QXxni;M_>%u569&Pkp*pPb>ls@|MYt8%-&9%W10XbK0((rh8rOdf>CIUvE#HZ$4O<_0`Ys zZ7lhxpN&y{H!jIGYT{*%{3vwLtK;yhI`rj);-!0jE5zpq5b|}y8h;59$m2Y6S24{r zbN-Re4@8&A6#>a;VVIN*aj_?ReM>SDjfx=Dw%!C?Nb=Y#)Q3|U?KoXN9y0|jw5|)u zoa}gS93QW1qT_mHrGL=@$V>X^F4%ui``sUt;a^J|W9c=M*OnS9=yNHD3&f4`p@R^G z+I#_Du1xvx@DTY_R^Z#o*1ttC1q?_h0-I>!nAvI{v=Qj{BU> zCAz95xYE22+0+zNT$G@e_;O~}!J>HnMVK5S)+7$hwOQ@?2F`4F z=flcWP3YalfJNP=LAeogJ9B2G8gX1t8iIvG-C%;>2ICS(rc+xOEN9!6;07!!!IrXUn+wF)KD`nKS~2RKSeE> zj!E~gn_@^3HeMyth!nDskBXq5HPZ{8Ufw-7?mSO&cJZ3CrGQigMF{~Y=<%aBa9HLNBlu26zP&0S3le>B{=ssW6Zlv@4%3i%haNp`;C4m9d%7OLR905}B; zrnd!PFl$3Ijm4SM9R6-GPmtL3dg+F>(#)8)FK#g95nOW(vuHA-M*nz!o&CU85BCqO2kA))E@O;s)Q{3pxrK z8f^55crm4LD|@PQklF4})inr*5Ro==An&*>QxIb*AoXY52b`QV$pyjM*JkPg;xEbs zORAXiOH&8+;#1bHL#sO}97RIQ)^*A6I<5il(7Z~LTs zi%Kapea%-$PgCjLgT&>`b3kMwOf0`_RZYxzh^Mr3u>6Mj+z(d>v%r$chVYC+@@cif zZpe+c8xtGn z04>H-81C4djS)m%i-0=r$*FZPF8u|r`;Ql9Ha@rEf*Km;Cph zTa17H&}lwTX{k(D1ga)HSW@JawTbmZs`5KG-l+>pwernDd*X`==gkhWmSWW`eR%jc zXbd+yn;KP}#{6k_2?M3qc3)(P+~xXRho^JyqP4-z>kk5??*bdjq4C7BLZP0RC{JG! z6QU$QAXrnveZ5T@1QMZxm}S#AHVgbGE3ZHsMm3!adRSW2owT5Vj+Yw80y{IRSlqw@ z#As_;8i!bNgXK>zP|;XsIIyHj{(V(XgaJ6~c{31M+gq{9s%Ay>oG8Atg~_vADWdD_ z8B3!pN~Gdk#*2|#Es=Re7=N>Y@YB&=IFBcEIf|38VO7FU_?83nZ&^AJAX;Ri?Ytqo zwc<_4EU#g3({nS6M2jnmb070q3XXbUH@@Zo$`y4{Vu8l_aIGLsWPlJa4#;RIhODp! zZkpmrM^aDPl-@7o;=349hCK<6fd-gkIwd&j^#`slle_dMs`AqN~%H-D{^go zK&1wA?xkMuu+=l-`%2_mUc>ToVd}81Z@XHlYjjSj6NP zn?idpPaelzGEI`P;zKIIp>MqF_f;^Qg=vg-qEUl8b0~z#FwE~Q8imMP=sFJOx$JbK zIJ0w%Mqv>EnUto%kl=IMc)wUiX+ltGWQR^zNki;q({LRbJ93Y6EOY-s*5GHj4)@3$ z!-JpvWj{tMuO7s?;>Zj*Rs5|1iwzTnXt?=0i*|U$REVOgW?N& zDh5%2cXjj=`Y52^F*W6`phm}nL)(PXmZl_!eOH?maT=qAuLZC6`K0$@j`v~Lp&Y)Z zmz-LW9nXJ94*xmD1X_{)&`E-)?Q{S8J*b7~mc@4obsLnzXa1#wGZ2FK>_Wib_S51W zZwCL@nD8Z4-@m8GbA?AlAgrWvT&2|iK+~BM#64v-WvwOSi>T0Eck)Ji`0BA* z7;R-41sf;#@G)yIYbf)t>PBgaLaJ&}*fFq;Z3u`5psH=x)0vmC3|{T9TaLg5~LBVj7lz z@@neN+JUT8Z;>tgpzb+`8=f!&=s-La-RY#5f5gD>>f+J&j$6>+q)u`phPGa;TcuE4 zo6=nSz3)Z$D2~db<|M@47{~q==CpD~hsQ_uxBB=JRj4J&U=vZJ8ddSJldk%5;IlCx z$PkANtM3REOeR$;_qXmhK~;1|YJUOeHcq=B2?+z#V$wBXq7Kv|Gvfi*Da!dARRGYc z%+#K-pHOn%A%h|QMD7ejwoGvOr|`@%cGu`>%QMRmfvs$f(5nk>uOuNHe7 z(fpa#(Zy!bD?|g`HUkj3${pC+42>W2?7mr#VH@FWn?$4>{~0IS+}iF+h6!Qz%6`2r zCXkY9mpTvi&|RMiL}=jUxmgcc+TwZP<>TUD7@R!Rs!-R2KEmrFNmQCs5F8zB z4nU#wjufS}be(!EO*#S5Pt=k+XrPcJHzZFGh(kDsn|Z-FtqWG6Ry@+^Z$vfGKsFO! zmqRcX4FxOMv2Yb2c@g@|{?nEUNF}@Y*36j>#uq=uul||^odd<*F-+bNmZPPs!s>82p986qUAk_`FjhXUC^pouD`;!Xo`d^T2NmM!%*+SZEMhi-E5JFHv1 zXKATFnLfHCS1*iZMd7QI-yD+OT#zSSfG%GCxIY1Y(D}7pXOweG{rICU@WpLz3O zR~vvjqrIWyfFNU}TeL8mNXZH&dFn6UyZB8jFUgGIgo$3<>GA%cVDDH5qTIH3(omsl z!<)29t`I~xT-jE%_=z#BW*rFhehcq&C&VH&>%Zh~Ba;!+*p+UH@Zq67|KZ1^SH}I+ z-R_6^$Ni(3^u>4QL%w9;17L_Fj18+-($#4QMG=aaKJ0Te<0`S_ZOso3t-q-bvx?F* zNE{cw#4nHVo(z3vdGf}-iX4J@%^i zq{O2&H%7>e77ol8S>3Z5rKy+m0fbsqRyC9F&YMvsmD(ue%jfOPmFcHF_t#{>p?}>p z4XJ3`F=6rKZyS0y6igud_U_CXSX9OLJmLBk0-}M~=_f>~D|P zzf3zw4%W;v!2V9H$U_=I*e7-jE0r-Iv=Wv~Q`w)T_iZdI!sBz{B&XvCGN!xKhc78f zIwxCURcn03Q!5C)MT^$hIh;P$vUxRRh}n7K3&e=FQMCQ-iT(`bLMcB6OWX(3p&41A zJuD82Hv%#JFM=tQSGca%X1ftd^VTDD;e^`xckgX%-#@63<^wjGIfT&>6&Ks+6!ZiPN|msRC&WV^ z;hx^TGU25CPRynju8qPh@;4Rh=U*_xHIaGgB5-kxPDh}oSPBRPit@$V?CFGbsyf0j z@OXhl82~o?kr9aIqQdw|STsy<=Q1tJ9`a0$GXsPW`t7g_immaP~ zH^DFB(jmLf%b!woRg*v5OH5?OJO)+G+(o(0SB%a?9qh#GyFb9(U92&7L%xl{q7w6c zBlb7?0`^8H>B`O)PY`eR^n9G8{QZ|)wQf5%{tVY=7|+Y*)Jy7G&yo!w=Un=>#s0cbfezSra*m5<~+qxMpn(uKBH;lk!=D5J}@gMwqLwc4o#b@V{5r z3)w`|P^R;DTb)CkUd_f)!XsNbKgovAKPkv*PU0}o!At_+D>zW9V#s;%Mn6ro2xnPq z$H51}r5aScT^MvNMrh*gbB>mjfi(CeP?Ob|XwT5NEshDQ**NTkPSS6FT%v)KG80$9is4^4Daw!|k;AXDPh6mC-sf_D-u&YF z^+c|Lfcoh%X6(aChQqgOkT55-J&ZhLE(#u%ZAb) z&jpDngq__XDam@}1h&)IJcxTd=oscF8l>_M0$eJ$I80mJyr~mehQr>Kw2kpOFExJ* zyARryx(bW-;iSQv8IKQ{$tH-}-p-JxRxGW&9%D;YS`vLc!LwgB&Nb|!_lccyak_^B z=KJ3-!y0km7$|q%Ajx5gm`@bwP?A1t54dj)TG^^0NTvQmVG9+dbS2Zn-yGnj!69dJ zjie_9nUwIT!|~1&f=cH66KU`B&w;x~o{@SZVlk+39A-`=y45up^1gY)R~>XxzrMlE zKl%{q^3;aJ@qvgOR_aN|l4SD8S>n($wPI5_eK7idb*qrZLqOa<7nye7W@zlZ@NNsF zM693&k*jM$y8WHrLFtwq+-;y!xf54XyiTh}-R9Pmlcog2np>JsJ}(mfX1@edc%%eP zs%;s4=yvI1VtE^Yxc9f1W`81+t1o5J*0qMpiQCpOpNU`MNl@R&lzK^n{&0ZLgCB#R zHM4G*6N}zTp^gLGs!pOWU)48LgL!DIeW2*eBQl4yY{pdYFhr0=g`=}MV`%-d?B0-v zj<}|7klL?M-UKH)ujlu86H|if|6@#YbpDuu zdNfb5(@J0Tq53|CA1rNYzm7DbV`#`-x91MHOoB-U7@S214L{>Qu!}@toR5YN8jYOj zGpDEU;!HiQD#A1rTdu1jHyB{5HOZCR1l_!f0)g3U8|@1&Txxw@2t^B zPAMnq4K>TAr73(1W>3B1kM#*h+&`W;P9heyMg4eO8p;p9)dBXsH= zQ6>99m$BdXMNRTUzJo(hWfUqgX)?(=977{LAf{H%E=R1u2-Rwh%EIRk+rhLEvP?MC zkJizqQlCaLn=O0nejE-M(kVMxVsa$)(`kO#fmApcuWgIHY^~7et!3bjT%UEt_+eDDAczx3`J`sdY>{A(7aIKl&p;;Trs@Pc$h2|og z(|OhV5CT`VI#WFi9{GI~_-6=gZw*$JCJEG-Voed3B$5VTAu1ABOI<$`Bf9yqx;WR# zZFB9nf2|>zIA!lwPr7NbTD%E5;}dOn`-&XyuJ!-dK6ksm`L=#+_t6(cK?H&l=Xw9= zskD9mug1`AF!EJk`to(^(&Vr*=A$vT>Ameg$IQn=ij6SActt9SHbqA1hpN)gbqj~G z%pippnl?Gd>Z! z{8IFR;}Xp?z&A`UPIMo$9x9j&@?~a|9 zvNZey=^@%J(^q1DzR4cS!2MW%$b2F0sLLQ?P1VH$!XRe@0W z6tDyi1*#j^K1fKI?gKipvu#T;(JbN)s(+%Ei>v6rj}&;V&CE?ZeqnJCSDs!(g}FqvTicCD&-np#uN^rl15 z++FuTNKDu+!yy(FOZLsqJRN|ydmvsM1I?5>9~KIW=wi2%wO`;@Z={T5 zBwDS~Rh&ovHXw*c5La>a#2H)9SZNz)>>cVaL0Y6*p_=ZNEAoxvZp2hOR% z4)CvDV|V5xwk$#wLA=x2xXh7}9@?d;Cdtr7aIDF`++OFXJ9l$WZxfb#EGEy*3hz)` zt)M47b@V$q_>fkuE%A?}ATxa{Lz8!jgF*apd`u@}%$ejh(xvh&D!fT)e>gNVnNGH# zx4xa`i6XWWF$fm@4%_mgN4vhtw0(kJNd1?sPmu@A2V;Aov`Vg|ZPuH#)gfja(9z~e zNMfc43R;z$t+>~W`R23VJ*iXQ9gnnUYq3H&2Xj1ABWBs(8TG z1N~RTLE5VIlgu~$&+T?#n}Fi)@?aajCXL4;=%d$d5;_V5HX4iY-aIP1%;}?i4x=;z z;t39uNr`~c4?Fw4m}K6Knk0c<0Y+`JN<5%s*l_h%|@hZ1ayFc8qQpJC&eO%kgQ0BU2;)wpF2~#H*fvnc5`LWp-pi@Ekd{ zE06f`^;IURXehO-$Y@hU;JdMv<4-A&mrSAnYpH;lUZ);V{ONCjQv|`8!xaea=sABd z;l|pbyfnA8Hz5fg43uOMI0ZiqYBajyCDV)*jC z_?0G-8soT!3{FU9S*wjnRPdQoDKxDKQ&D*(pGiFt#In>Ag+dFaC4gH()OB}4ZB%op zSwA2N*!I#9ny_pkgJ~8Dk&t&t+5^+oT+mg3U^T8jw|C=88L$utp zQ+MCj_a;TdGZ4zPTXXF<!EtSQSz?}tl_&Vbp|iLz0cw!Px1ub@Ra-~lvteG6yJDl`|V)mL@rw0 z?tO^GEj$Hj?Xl7^FoYF2=`mNI0N>g$c|)C&t;NLE!w9=5c}L8M#v7aRumvf)$n+1` z4xU3+{TEe8hqa9OvneS|9HKdWL1%mT<;b|h@J-_rT%>eYoK$ng$I>4{qthlIm>m;S zJH{0!OGRbjBs7FXj2?^DZ{ zv8?fShSfG&zEy9F?oi*GK=CFyzcg2zQCb&%3l9iau0Iz%RZMZMv0VB~X4>*z2l#Gw zS?i0^heRa6Y0OsLIcK{+%c62tB#?B@qCkF-Jkb}N=4H;OdYcPyaOe-4-E?XcjV%RGgp zosi2;RQnzMrYLW_N1o`XHr1(`gs<{kOutVs+Y2l5YAr|GCw2iGl5K%zvYN66q8}}m z#5%^e2N&|h9{w`g12`*sOU|3z4j=U`RC6u}CGe-j7l$n~l<~EMH0pv#t!*4jj`ge& zN342e!sOKTB^93+;!jIjs+Kvuz4T9l){#C>Wtxxm#*63HKHwyW&^%7KY0VAsIUz1T zy5_tXJbzdMUT!-+m?ERIpU02)Q;e1V%S>bkJeLIWpS;DqI})n7_x{(yLcDGeSp7eF z>Hq#1sLREOU7-pTURP_xy<#ktqH%OdLGDA_t-_n=TlVhh8tb5~uZR!+U3Z8Qq=ig< z)j$C$MHsZ+Vfg#;(2GJx&CY9|Bm89#phcqZJP(o^qk1?Ron+u%(Iau&SJ`l`IMvIj zSzsfvCFT6On@kB*Lmt)b7yx!S0g|9f86DF@9unSdmT^((M+m08JOUOw)zlkY>k36& zN;qiHY>{J>OdPzE+fiagpfEqu$Q-4b89Ny8=Cy<9Ck)m_+&egv7c@Sc0ThBiqCLYKu(_0$-a@DSpqx9F?fX`!nm9 z)FK=Ehjr+UG`RJ<(&exRyo?kHxoqLhr*aFG&mIZ#li;?`H~0miMR|N?XJ->tyR!*W zf8s+2Oq}0t5J>4jOG<&rx*@YAaJJC*vWM-xUS2=4{=y)rqerZ>Wk$NLU{31+s5;_= zy*~>SBs#9PwpcB+ic1!E*2k6ZqfJ^ZOChd8a&BhO{?BoRn{e87-GUL{LFlk6L=MB4 zeKvnFffO#_{%J~mh=X#NxMF@{58vA-?gnwI9G%dnjQR23j=?L1&ubLS%iImPrUK+R zynG_^k=YeOTk`}vWg{rFs2b~waf!C#82CS~GJd)vg(kzSYdQM?y*7YfhRKJ8e>-SK zf}C7N{7S_;a+w&ow#x-#sIB!nCjRAvUoKQ#0#Nl9vqXrJnbDcJ7bgpos{3XU5AsAk zKqSMoQHKc~zmR!zALs1_0%sb74}!50a#ahb?>Zns{dK{~Kd{9O_7zL43z1;p&9hO} zD-i){R@5Rc7OJh$@TB`9fRMD@e?`${2v>z>B`~6b!>o*(Ay66qW{x^h=w5f}KD>|i zwpzc^oUw6Y08k6wfqOy@prjoiQOXZH?hEXGeMX@O`A!YzADVtgD>=d>GD>_rF_}|3 zGTxeKR!$3^C2eJ0D8b>#OHYbl)Q3vOv)qUF#z}p0oB*JgSQEImUM7-iW`?(Vj#YGcTP-Fo{L(E`jOCDUCyEZI{v-V_ zM~qmUX^Rb*eK2W^_c#vfRe_SaZ7@>YGC$egLR%>9rLg!%43d3*xxhb8SFrjljV0*# zn&q$sWKI;%r8;E)&3H3qWl?5wV=&kCqvnx0YkocMC$z~L(C8i&pfJkMr!R{N7;)@5 z32YHb8PY2x55`%I(^L(0Rlrd%xnAT2r+R&kW9|Bc9arzh@bZzQdHc`0|D+e&efiSO zl0`-F`ZMR%;`yWHhVXBcC7qvcb^ia)oK*sO3mU!@&iK&qr!>V~N*dZDnFD0~&ps>e zZNVLgX-nHt*?2Pn z`uw=<4D1dgcUM9{{9i@6(?!2L08$jb-~U#(<0DwEb-dE4fqY_gwG(&-NG!9&faJ*F zFYcL6J{s0MOd;G(6)edk+1v=O6(w=mo}PP4)-C!q0U{^r@hnUXXagbr`aP= zpV+8FVsVnE&(tLlqWq`D_8+d_H4-d29=wV*8WQ$-oqv#>5jf|h%;E#!s!G=Qr{aXl zBN1!3!%Bw2Ht{WePSARV1KuCQAYNvymE9L^S=$?Ds%)g~g!-xpy~nZNx{t1J3+C+S zoK}#b37Ws^2E?%VV4JE_;$PQyrH#RN9yA?qLkzsxQ77oEnzry)de2wlQ~8tHe`vyK z{=eI{1)D>&q!^l}nR-Hvgd|9-P?>2Tv$G!XfVbVL?C#-gyyI`p8#@WGi~OBRkV(MA z9fe*!`et0-A}UAxQSQdaBhdQ7prR~e`7;`q0T}}GA)aUTHq>43VV#Xrx zq1It<<@pkzkXn(xMouPH*E$mffwYWKF3I$R88dhLM(;i}NzoATA~4|3E;q+n&Ek3) zm&ZVub}m%*fe0v=3KEbfj^{@>IrZJ+%N6786@wDNUBa1bC2tJX#*LQ4|HUQRuoO0v zJ;)8f48wwL(g9*;u4zv@(F#6Rn=DE?NjOdO=3wAre_=mCClo5ETf#0##Qi7|Zb=n2 zRpdfwPK6PMDN?m7?7=?rIFnN3|1}c?#<6k3td4bpL#?Eud(d>=B8X~iMG8P11^uGq zWUx;=sQ-)m0)I;$wkSt8n00O(>(#f z)bK3>1-}r>M(BddL={b)QZ0Qx#&HdDcw$^d5pxw#O{0W77CxTRloxSF80q(SuCTda zqF4+=8b}3*`(Ar@HDIbj&4##tE+)wOj?pMcgN&3NN8#4yOYa|FY!6+~tUG6WENmMI6`91Pi?p$;L_Okp z6hbKFEcyzwHUB^!YsidC-Q0XgvB?K{0oV5sB}L4O%B z*sd(?4qL-hY5|1gk)qsMdE{NKRXeGn`~UWr&pcdWyuvPWf}SuBQ3_kDaPqq~`h@*l z{q~7q{HQ_ZZM36T|L10`2{1U~Vvb#?<8Nhq(s_PF=uh8hNMQs@gys;&XG#wyFqa3X zL};8zL7ZiP7D=On9^$&(b;%%K6%W28+fwxgLn)mo{^D<8v20S8j2=znbDs5G{Fj>B zlS^|lQ^UP(;it`xOvq6$9OPTaS&6zHqA|HTvZIzuhmCy3RYk0;Yo=j|TJ}%PsQciY zzm0ps&XxS5D8p$BZs|8)PgjEi46;R1iXRfMgTbNE9S_BHce4!Ib0|$yIp9FU`wnmb z{d7x~Z_kBW&p7{~t6!2w4EC+CU)qG|-x1ED1!n&!6yD<5OpBh_6S{FF_u-loMd)l0 zJ3om69KDG)l=~n2ZAXOUN#!GLSIn-5#Y2|D8tKi&A13K4r%>4s-rGy^1}TZj$xgiA zFFaA+)9N+;ZuoqJoZ_<~Hx)m14_QyVTzX*tRibY0;CpxC0_-yGA(h?1={#PJisO}Y zM{v(|5if4PE^ACh0@CVf|Gx2Jh7Eg>24^&@ejIhBV_`DBdV9_5s2f8lKbGZ2mHA-y z69`-&Uz-aZe%%o*%Gbj9Bv(eX;DG4dydjIwrc#NKVC*6JAjvRvxR$RGLzK{nL4E#A zU(ddEV>fe(QqG5&>X`ElIR~X&E$DC5{1?0Q-2)p%QkSvD62{b_)Z!tLL8pqE#Cd*| zlqRqYS84jpu@% zmdj7SmO1aa2Dux90HZTs+^rBvX;{~=jPO;SEN zH_F6ye2)H6aTWL)nbo+J2%jwe9Ck=DNbG~6xLY3-%sqUUXTM+Q6k94AuNkyT%eKKm z*=~RbODD8p$0?3`7~kI=l%EQ{a?9%v6ol=)F;~_=del2C5OOJ%Mp|M8UMW<{7?FOL zWt5MnOUJNlcu+1fVx7KQ^krcyvFGXni&v?6;Y*C#WD-|5b=WM{Ut@n~@mD3+W?TDu zl8qt(D)3L*j>#+HNq$B?RQL6hUWulJFGlUGlno2@JZIcB4bB9i7TgAND=RFzOx*^}KQ%6*$7Nz$4l8M9FGQ@;N{6a!vA?R0DMWE?Y{qL#Mz!3c7_r>mT`N4)- z>l?@IBb!smIB#ulyXV0~nj7KMZ^WQ)Ps!hOo2B2H{_kADj9`#4sbS(4<1*xvkI+R3 zm7;4g@hRr87>{@Ws;*`&Zh|q_M9*#Xw#e>}Zrl-Pz4g&msS&=Cv$Mt9Avc=IW|U0- z2hqpZvg;ArkQ&Ah$$Cb0n0sH>7$)naxjFgURzNw;6Z^9g0%(6HI4Q-nV)mjip|6AM zQX)u{8`VU`U*;)pw-WDbmRN%sfvL=>P^lajAzFEG$hm&I5pO*Ey*Mt9-pqPaG#y>O zYg1deOjLZPH8*P31U=m>aem&ym=GmOf&V-AaUNA z2x?8dzc@r|vkS}F=x%};GRNtEmj9Ext@~4Um9U_FZ;8VaY%wC@k!uYzrXs(5`veTY ztEBFUxXq0mM_CY#xl;^b73Z0{)QT!kG|eOv4FGp304Qadp_%hY&%ePpcVXBw58}%r z$|`|fQdp!bwKk@L*zixs?Iu9tFy~6MGt=a?6XyQfqnO-)RuDw0)V+Q-!#-u^0M!LD zjvgi%tL4FtJm!!Q$pU0J_(R^5#Y**}sc>S*pqHKN+*=E#OP~@Qvt!bMj-;;gTu#H< zfSr&nNq)-cVaxFgkBMt-PK~Q^6|!$=Tl2?~9#4T_+jOVeS#ih3v<-$oXJu~~kzB8$ z?m_Ery|RNf>-*Fvvu&pn9VtaoCzIL?`DMrUmJjlJ(7sZ8Rjsch#*^8^oX2U-AIgRI zM2%}L(?Mqll~gAplS$TIE#q~k=gQ`flZtit@6bVohG>OTvH?8;Ke6L#!^9WLkP~76 z*mVpg3RN3!aqpJ{|3o3DlfYn#iFA!Iw@1H}0AF2+y8n|7%^xE3<4m98$I8Pe#(CWK z?ty{B2v5-6QH>Nt<(2tOBscJRXCt%$>gK!nrQS@Wd>l~#8~ywf5*&H{PdEdN%GiWx z?{U6yz9@(7Ho{?N7R+ifIBG0jma zZ-M&u57ZE(1NmXQK0iX&vboBh47n*jw}vP?t`FJ=zP!_wOy@ITv#l&w)#N$mJf`~q z0UZ>meIj1T)jW8kq9P~^)=X;J|EN(z>N$n%%3P_7u0GM`pL01PcB5k}cBNdtx~&uK zY8b?uW8Bnr_BT+-v^of6&kEzg5Ej=RLw`Qb^Wm8X3V^=2EIcpd&1VV7mQ9S~Bi|Rl z3C63B0CyEp_I0%Z%6g290t;C7YM#z!KZ)i#J|&5jqcsQCylyOQGe)>CJ5vT9PYf2C&u zdDpHLvJmglQrU~??+`j=qG=;4bN5Y|pKHPm=Ka zbv#SG2@yzDJ;E_G;A}X6@$ES0-DY2-KS=t+myqj3=`jEDf1Z%6J@AnAD4}jupI-aM z`veq59C^i*>b(hc+KNoSZZ8rsxVYSEpwH&d{XA-;axU_ol@RpS*!|DDg5p1XV3Z#s zFV!Pcl+i@N^%mdiVnW;1=W&5Y6DQoB5_vhFxP3$tVq*nSO2k)~X6_gxFjNCZXlzi3 z&1vnYdDdzv#^mVQVcqC>hkU?e?Q-DBTBsOAn)^SlS4aqot7_7!@rD25s0-%xMkH^> z0$vxa@Z7f*+HiAOiac4 zr-TxO=;38^YDXwG!mXap-THua!ohoJw9=GGe6w*hrd_22#cKv=?>EmjfzUmRX;fY1V!@BW4d~0rPu(UGK4Zg7C#IVKs8vjj-A( z_c|ex_*D9Lvl>G={=GKn7e+qDHl@mKm%w_#TQ-{ljlp@vA>3xJU2(vH`_uo- zW&8-qx-_J>7YlC{d`@`4X_Gins&)47EOx^(eIq}^z+6i_U~$~aNC0P7w)ju+NG@+| z9c(G=Y|j3M1lXezCl-?<4_wxk2+tq=xNjp#j?h%OUr~{j_yDj2c4Kb7$|C-YGkoLK zrSH$Yu3%@KOg_b|PI)NoG(6+WwlzZcLifmPpOjZNLo+YV9mQWz(-x}$!qMr((`Cd+ z$EwLlnL_lpIs5^-m9AfO(2M>Ag5%c;e+~Xx4BZggFfA^NlC#9Zb5HJLZ{KfgJl4oMDR+N^*JCVt76@qfVA|*7wu_MD7jyYG6a*E zA9eQ9aec+$%i`v^M$vI7@nNb$XkvHCi~1b&J5xbCsBogeC~=})BbZ>M?ojqXkt2c_ zzJ)t4q~Toc)M2IBni-7(pGrAGNv#T1uaW@0z?wha;ll`*`v-B66cbV9b{J+>sK4cJ zq~>S7s%j5<_v%H|i(M{ElB0gYXZ@-`4P+j;=&;WWKs{x%ZJKe_?#7?t3Bv5vIu>gF zNf$t}ODF*Kxf%{FU2A@%kDPZYqchv*r=~5$lqIXH%A6e(B=Hg`0_ayDfSd+-*4+=b z{Q8&bqVYPHRKRgaFzfa@MC2tYGVneSt@AWJ>~YGK={TjE;wcIpN>udF{m^x+{Jy7* zi_Y=mO61>-NCETq&d{^O|Dk3~&`=7qS;0Jwl=h)Iz9rdS?B}8Z*>Fo(WSOl_BzJb~ zh6A|UD`lo{+-mQf=OR27;j1%B=Bo$pkp>oIii2*=X-b{Mo-(AA4-TRrM=zeb4vK zZAa==IEp^;IwLx~_7`24ik8vX6ArSs+`+~4Grx!WOlx02I_b(RCJ0N@u3z+z(`EVs z{+j%RqFx?mdF;FxaA(-H;wd&DWd?)s`QO+0^LMKxi@%UT#Q)C%xJ_L5Goa5+@VqCW z9`5pi*H-)z&ut5r*!UO0ux-Lgj`Od&ib0nb>Sr(DLVH7?!-ZIUO7kE*I5#eq0Ic=X zHxSU(HazJ~ly%4FHp~rKlJaVahosD#UnW*Qm1LVVW;73GLFYD)=Dh1wp z8g8lHfgY^VWde`hUax=PF7f>ip6#XI`mw95yso)mDa=cl9vcw4>;=-ArxFO=7kV*C z>Y}gi{`DJOGcCbYng+(cya}?Os-M(+EEisqytVfVUg&sFPmn<2FJr!6^MxA^dJmjL z$$O&=^+@W}9b#WE_bWFfkfhHb&^U>_4fyM$`=oa*oEY?iq0_&=AJ`6x6Aby`9#Q8; zha1B&;nvFBwP1atSk(kin<&T)K{Na)qea5iRbSy!P9*<<@J~DgLay9V> znw))r!jjZwHH-ls3sSr;q0RxmuyfCZ#LLKl?_%|f>QF+5D4r}-Spg}%Qqyhc-AV?-q5)y^L{Nf^J%9I; zM4mL@Iyd?ApQ$h^rJHSnWB55IkG}kMcseF&zZ9&1Lqj0c0A@VhuO3EP#_uE>=Fd1@ zT4ud3RxHl4iT1b1__}tprJ$kZSNeun&!safW<_26_?T!=@K6#f5p(@#i!xGf@GKW4 zr8qw#@X9ypba46^h{&NRk>lAQMcJ!F-1y9=1&dn~RszERKwImmWxWVqHu{aF+BH^L z&Pl%NZzyG}IBNr5u=uueGg@{QUHBKAUf(vCwEqC9s!9_>3bss|KYXcSG8yuQi79mFX?4YC|ChEc_=>xFp6EZ1gqI3mE|9|JG5fqe&LQD>WP~TjkKMud zw2Bkv>mRWP{DBS8Kb!N%YB$K4avTw6AYPR6p4=L#1-#5c!V}vO!DSAJ)_pW;_CM#1 z^-A(s&z_8gL==sGpoI zQrJ*JRKHc&yIG^=od7sCF8iV&_Jlj1Dc&6%N;2l%=*vW|&c;o_J`scIf2ZK)u<5|2 zmNA=x>yMlk#ikft$U`in=I5F8qE8()gab9NX)?p=!b*WI#3G>W`xpixK}pl(w8ffL zF8Hj!L|r_mb4!j^?$LpY9iQ}kvh`Qq7hb70X>W*Gy7>D#e=eHnLf>`4x8k-W*bYC? zwvtMe<61%Tb|qT-(({mawa1Fcg*4I2IG088iymk1)vbrV>pJRoiP40PK6j18FiAXi1NWpewu?VJ zomT2)>2HHaLX_w&-{*f$uu`(pLZs5%!(Tsw=aOp7RPq{~!45}AyKkqpmupoSKCzXSmPY)AeB^fjpZa;;ZH;n)FF&k&i-< zL=j=G{b_mI_UL3}ea!2Q;MzVvXNWgPuTa{|Rh~fr(iT9;pBvU6I7r!6x8rjeYr~f^!w#2rpGWMvXV%C4I&9mp*MH z$!vWgih399Enbe)2a{9r^xq)&FB(#i_ja^3zulH@MQ&V* zj<!rY^)#l(kC!FM)eloq~R)j?^jy8!kn#A`Y@`+?#vkWxx`*?YHjkgR{xwq z^ZdY&Z>L?x(D5)T-1(VV;V$oz794VYWY5&qJe?rAa>w~(xrDLA@4M5d^Zs<=q-6qW zH|%24nS>Nou{R5-)l&NlZD@Ud>Ysx2!U0G0r+p|G04R{aa;VNI7GLyErsZSy8l~8DP5b zfvg6qmI(P?tEj#l1#^unfq^&VE&dQp_Jn&3eVe>nXu{4E4 zLgS41+$a>fGu?<&lEL%aADs#T4RzpM$6nw$FrQv?)m}MkF~B; zqsY>bbPo1Y6ZNFw4i`QvlVsP_$Zk&%^L$5je-H`e7|tRqKH#>X<=mMh;(saY9|5IW zr(Ul4CS$;mo+0QMA-66F`6yPokVskNXESD(7DbN%JPN@8cs)H$&S9+RR+_lzSB+ET zSk+tAB(yGL;IoZ|GaxCQdkX4ubH=>vH$knSZ}BYC=n7WT>124mIr(#O5#Q$r8|sL8 zF6DBxPf~p7w+Vm-K(M%s)~4lIsCp@XRT}V-*$d~G<2VD;mE4u#cNLX1eIu>P)5Yb{ zAcHDcHD-oyVe^ZRWieJa`MMzn^Zx)wZE3#SHZY* zvGs~h)8^rY85w^|;;OHA@O_W(*;Y8^W;P>2?}c9R|2D9@6)tFR{;?q>=7Bo$KKSTF zbhAnhWJoYc`PH)SX-4obDb{+rqQu5kz;9U=ELJ=RypQLZCOVuU^(;V`G9%>+EjXr= zw_T&wy@VuXx{mBwLD{%O85Q}l4<2SJt@(BQ2C`2zx#<@^J-lzi=~_D>q8X{D>`Mv| zM2t6hu5IxINd~rj`zt3j@UFv=C^|4*aj^CCp_f+D9q}VO=8oWAMJH;%>MY`33;(tD zCSThmP+_pL`^%Fz!s1b8+por)mxHEE%TAq!ciLvdAhBb_9QRD@%r}sz)m`2P06=g8 zsN)Uqms(SL@u3u30#zFEi@%xsx5eg9VGkLpBM_2f9Y1jz)bob*4(wowr%12#{)i&o z3JPPr=jsQ;Q5YdDGJY{#LqQh`t?%2e6G6_f!Iwixut75kxh#H^k@RMA5J9W>HxF#( zK)^2o8S(F>} zK8)`4j|W^a&Q|}}Yd|v5qP@yUH^aEY8jI+!gVfY)yV65m8S8}9FpwQxV&8(c@WxC?1$qy$nZTx3jE8_SlC#k1*d6DUEg*w$(YKX(3b-*wegtZW*pdAR}Wq-ZIM&T`{>=im$OH+uEvAig#7L? z(KO;>PvCp=pUYu_UBUyu=XSUjcx;FP3&h(Eh@jOXn#a6}i&C$#xfnF+5^sfjN&w`T2!bGU(Pw zv){Q1Kd|GZ_ME8#+PRfAP+`~uk}%w50y;61MHkHs;9xAt&yEF3C^u{x9&DbhC3u6} zQwTbUCcL1&p6r|DgfleE&}}j?q2US6LS!SM#gTizABV0#n#K_aP!r0eipC$lD?NXS1%KD)9)-+dMwI~ozIqaG6?yPD~MIqaQ`L_2)pPs=I*`p~r{ZC95^cHgM zX5ai!hb;?nnwXk3r8RSejP(3SNhZQ&c;qt7`;cc3(ZP!9C*zcsmXOp$qGfDL%WhwO|0V9Np^ z3H@#;%U(46johQox9hs~%rarODbtB*x=>qu4@||xWRHTJTRQBdiWO1k$T_xCpomOsn=E21>F?#Pi0nSG#n@apW$s%-&HSEe)jx=B^S_1{Y;ir>TI3&#ru2^z zwJy1zwNnmh(x}CC4>tItm|VG^Q5rs)SN*njW_?@RXE=uO^^g`Ca{uVuRdd}6+57TZSR;XWb)pNdf2i z5SxVB`O@)nvkAd84Rs=MsQaL~=$QWIUh@pT_0Oc?&?t^BaLO`VD!S0g}9@FlW+o zCSjJ@#86+FzAKPp)+}A6W3#HO>V>g~&P3wkV%L6c180Eaz7zVzm>o6}BMl%%nz~*T zRO4WJz-+{14+%e2R$yz5ZDx7n4i7NE?dDN%t{m)GD;XFeXbkj`sgVhkgqjCqWnxXc zm}T6gEuMDWcs*xg#$u5HkDbHihJH}O5#5!-x-r3KxqE>{sO7{9Ck*Oukc>4FG$Ucz zER!urGmXtj_LA8yk%S|HhkUQTpT@VP2_H&ES`?BQ)&*)tKm21E^YcR5B_;%yEyCb* z9x978ENRc79skO5_r#PMX=TsX*m9Mr#3TG<2Fx?LwtO5fcyrV<@TN97x#4H0Nj=dz zOeb5sd{MaEY~y%ixbuoLQFvkRy$f`L+lnYIRO*DLm^Ha04#3}!2X zFOMvK4g>p^zbn9j-iN{WjZmjk%c>Q>W1vx)x?aIE$R4qA{rmHGVt_c{U9;3RY<>|O zQjAYMA&4{CHs3bUphT$JH_(YZG9o{mb zPq)&;jIyUP6^3tJf?RJ6WAK~$oN0o^i)pRPzPe5yN`YCuTA%gmXQ|_EN>|Tye=CeN z7M^}f7(5v)IyYk)Bn4n^&%SsRy<^$Xy2hd%0|idVc(0cE*}E8Zh_1 zSxFA`8^6t!2Vm-!Ds{$W0cnXB`RPF^-IUm(;EDgYMSymdi0f-|H0IN3x6xTa0Q(u= z2~1uF^a5xU{X+IA>?9^c4UOL@d8K4Q;)b`kJU)+8l2A!BYC2@5g#M7rf()=NHSM(Y zrQV9MBHAZBcn+~_;4y=n2`;zRl4;f2*>mC0drt;@2G8=qgl{gFzAZU%t+-Nuv7H|x zJZy`ANLYCpZ6k@W8L?$TZK&Ph6FLj7**-Moutjh##kBJK+7CmCh0Lye>uiKf_C0IA z63sK%2d9_Q#qea3n}R+p+jcZz;s;@Ih~^Qo3LvB|!@cucL>}%|j;eF;5B@vD;j~t% zg)Bor*u5Xi9fh@bbIZ@!+b_p554)mo3*;8-s0m~z`1~VFcNNEASD2bC_7K;2*C}pN zfh9osA|iu-*>av4oGM|iqPN%sI|e@yjKybyU&4GRM<;%K{Ia( z?ml)b>h(xRP!#n&HhKeXiBF0`!_I=pu7BuadewhsyE3{AGwHJm=EOyAd<*KIZdwZ5 z@Kq!l_zGI(*d0Ijv|iec?eaAY?lvmPnJLAEShvsABzD<|JZN0G^7u?-ED4}-l)Upa zr#<`>Iwdpd66C-+)sp6QJR3XdvO}w!42rdBw`JXDapHN}5Bim<8PCWxEz`|%BOHase3Y_31vOMu2(U?zt5zQ%t&zRW& zazQQ1)@VbDw@}cwOi1Lm@a!}b48>a2$8oU2Ik%TXgyI;`!GRrd)+^R~s0fe1=WUZj z(*Gm;4S%4*{j0NpSvmlm7>YOyg2TpRDGVq1DV*Xdk-3^w1jTzj0oO`p66NxP(yihO zE$6|Vi^b~*Sy>ov1%RT+1O2E&c6Ka?0mkV!Erfy>)VXE6<l=C{)> zpTt*?IRhV3w7Ie}q`M93iuiw1TUwb@gB2pnRBYg$g*m-zStn~=WV(?xQL%Bakuyw^7M#?m2* zCpNR_jp+7}VwYpLEpy1r%uEr-umf0=Xsu+aRilfu;Ji_B)ShTZbo|ZtZxLtU&8AxP z*ZvD28VT~Z;<^K@m#){%7O?VUUEtcc{Tl838}9Hx?}t~(&|fUa|}u5U{08Q zg-zVU^`GVXZV%G>u7Dky0E)Nw%YOm&!f$V6i~A2Bq?m_YjXS>oiy_$nd4thz=mBAL zXGQ~ns>FbvG+b^O!sQ5nxe{ts$Vd*kt3z#;&x7xws8u1p%@?B1B!9{Vl(^*LR|DA5 zR^uWcDj!i^>b#u6Zzo~o7T0n1IzRerz0SGZkZ#r8$DK0;{?yHD6VRL-uQc>yx;37j z_)4gC>nia((vv=`v0P_Tx@`PdKQDQy=#af-$bbJMg%c+}^_wa7Ty3bWjlWu+?q|T` z)OetT9x||z=Ax~&MX^>js}Y(k(XFi*)Hoh@E0LhUs=^9!%^;ceNE%I1xmpZp$D_)P zP`BrHLm@ef*(VqN#Lu1FWGb$#9#by86kc__=S7_Hn|Wn<=z~MPesBR`Ybij#-=4&O z<+wYtwGbNqWY7Qe=&+k#a`HHHNt`rI3U4&A%`-oRk=2TkG`C@g_iy{*3LK;kqY%v_ zc%7%Fgfhubbun|`+8NC-5ErAZV%-GpvsVY$q1W{oo9?Iu=tTs=K^jZ@Jb#*PvDSJ? zJK7{4qyCUlV0f9vg%t~I1ety!E#~VUg?1lD1`E>M{R>F7-CBhdMbCsP_HJeqAl}`UB(jiN}D(}(J_Os)I zZm@y?ed^Jx@EWej|B!pYz*5jT%u-$Zhi8d98YWTOn6+O@9xP!-!Lm72lo2I}(!r=e zSR#)nuMSN=|20)(L=BOUnG;E<+K@S{uoG#viWZikyA7k&X}KHTGmI7`tLXm$*FY%0 zVd*U5VYK77%y#UxZIUR^^R1e`u{vx0x8^`_AZlis>JR|VT6B&5 zL}F}_H>gTScn5Ok^^Z@UJ3&IdCjsKEhgeV>C_j4i)^oMadufWwNY~#tS2tF8P8MPZPQDDm&4x`sWdja4M=D($poe1rM zkb*y+2YwVWAHpl<&|FVg=UxDrs2dA!lMWU1wLkwV$`D|O;P*gDSl-Qd>bsGYkp_~~ zt9r~j3Z3(_K~2I;WfNdI|Nq&0(^$*0vi^VVGv2x8v8%hQyP*a2XV8BH9N>qM81;q5 z7fQqt)IQ>$HjQjuj zJp1fh=bpN^>Q;AGbyf9QRp;(=_Fj7p&t7Zo=ULxpaDAuG#xE?d1?@_jbA8yt{n_fz z&92w+<0~{FJjI5U?tF$)ju0FcyPS&{EkoC~`l<$}Zn;(v?$kn6>oYVy8Mq2|#y?SO z)zK}0r-thk8wLu(0)uA|hC=`(uOOf?2o*->S3051dYN;J-L-JF)6Q`L=Cc|k1yQ#i ztV034h4%8QJOSsb@EtRZ-x;3q#0aXC;oh?`{q?D}^j{dp9R(zOlnsF6MO;5dQ6Jzh zwNJ!`i#$UW%fM<_{}IckgSP>!2xDHx#)a+S9zNW{oH{hBqs^JXay^ zN~)uj00`J$2H0C}rrzaASMdM`*{O-9S0)&5CD`b$(_rT*;u`X^3wT;3_F+Fw;$3?x zvDYF_m})M4ELk3}l>`MRz`z9vd2DIlT~JRs%&(Z}XfwT362cy-1#>Ws%Hll0^#{f(a{3>s4rGO}f66_jWE6;8j#)F;|j%cWoLi{oMCcp0~})vFbGNOw%6uL8OcT zaiyE!-VT`R5*)l%48LKJ(4nUH7Qs4cu*CSCLH54DUhkgf_ALqRvvQyHD+lsF#*Hpd z9X|quWwOpv5p;%LC@ZdTZ-$4KDW0|QAHTw0+#cq|X_U<$WM5-9ZJOb?@e>~h*q?z` zDu5heY&kB+X-t9JjRIRp?zdYr$L)DGDe&ble>ojHb}SvhdgD&i$jt_pRH4CzCXOjU z6&7k;AL`yscZvFQ*I&F$O~%VIHYsJwc&Uelj&F=u$l(NhADUd(eRFtTX2?9gJ$zw$ z^tZ`PZWxbz@b(N%ee#4RmD*lzB(vGx!vd_zOWNSpnX#TWKsn-Q0#0NC zER5ZomBNBBHomDrhI+dR1}QfdGU6NmySh0&K$|o5}>80c~AJO5v+)G;2x(y!V>Ir1gaspo`Hq zl51KCZn#E;UVd6o)OpcB`qAW zW`!nU*{P7Fa9bvUSJzeqo&YHUA4@^ZEY=b0rm+cKn^B_ZpE!=-3rIq&l&iF3%W|Kk zV_3>USD#IvXKeD>hMQf!XGiX3JOHdB%=dAb+T-2RLO^Wu?ueLs-s}4b8u^+qHbcXA z%H5V2v-Y#16{X_=g@FypvBTV}=;lX(b%X|j3#-gEHB!$YcspwVZuAYIh0>Dx7+sZ)$~9o>W{{fK});ri5DfK8usg&dbr2z7?p%a#d z0DpAC{E-Iz_l)jGGXv)-0$T>QDDV6^}WrI|^~!G4dmj=q+bgA;;- zqG(&B#$~L6TWngKeh3$$0C)A(R3`?Z?d$>!_8at7LJv|Kp}WSMaLJm+&FIjjGRw%3 zXVc<6gY{tEp`SLk0-b7%uT^3_u3)(;O>kA($GWfrh?q6q-r<~ubI4;CierbkO@M>l zRW@y>nyFnF5{B#0wqPN{xDHAD_*&R3HNdLcEcvVRG=ckDPg007*${_;{U;#}PW54{~r zLO1M>2}HopJReX%WvH*idT^X>Lkhsi8HOMkieQ_~%UR>Y^OQ=#dK^&(bd6W}Qa}s7 zIrvKz?RXcd>0eRGJ5WDOarOWW)rdO|o9$v5SW2*N2#Ms zYdnuC{Hv|r1t54DKyVHP-yOW8yU0MN_w0>6GMjqwp!Z3Kam9Zo5W+HbFCi!@_b97qj$LQ0_{Pql)+=ASOsDIOtlY8&u^c zQ^;$4*NRX%Z3S?zf}m!e>m~F1lm#lQXk`lGxz4F1Dqtr7XH3BBxn~v(biG^+xeYLo zzO`wqE>TUfMZ#RD)2=E7^lOoA&oCG4uQ3bfc?OOvEy3-x zGNA3UoyIS`k8n8mv9_1MXH-1?Gp4|^OaX@WIE^W=H3crSIs2wJy(wM9Ro=IM`?ueb z0AUV;9B(-m;BXPh%P6dGcIWzZ^g| zK+UZm&-lu7oC3MQ&tXJzfHODSD+Iy5smZbIJTNgvZz$0|fp>u=-KwMo#=n-1qX5_@ zh4yvTi3Orsec=umE-m8UDI7i1i8Y|_d{kM$`K-_-L+c!0pdDK7X=xYdxK7@1k;&T7 zmno0f59AL`Od6-vrF~Z;(KUb+f$3cnXn!9eAl4m)I_Y8AtWD+#;B1sWw96Qf;ab!J zBgi@RZ8zEOXb5W$$VR4s$7VtRp!7F1SVuQ9T_+VndFBy&(snAO>gLq73SiK+)c6{L zdSOusgI!VZWuqhLINZJ-G|`HTdyJ(KWeOk;C+Xuyx}2XclsXuHYC!g&b@c!sq0i2a7wvK7v%Lr1fN-M3c%olO^`n;2u(0X55NZn~b`qc}ma~>Bw zxCLKJGwCuQ&FR%vfP!j@ngsZkp`k*kf#NYTQ;gowCI#3AbkuTC0noh87==UK$!`7g*%!1f{dn0buKlgUX)fYek9h{I#zw%F3LgxguR?`BuJOTpM>R~>n`g9 zb0~VMgOihV>zC8ya0x5M4ZlRMsK3ahLIc0U;*fKYEUd9rKj+RO+6Jcu zC3D;)8=p}9=pJiu^&$Z7KC)3SR*YE>H(3D=YDr71jphONtgd0LfU0=&;(;`I?!HuA zW8PySSZz(S*@f2fB<{EPJ)C?-InTJk+;FpL`kL!L?xa=$1=r{s@dyR^@-}OfN*9HS zI_nMV2yqER5rgYllg*$8V`8F{s?)5kL&^L5%NKCOiuN^qs{Qb$Uh#_c-&=igqe<|q&U&&FF9i=h^iX>Bt6!a7^r9DSb<0gX--Z|avp@T@^hba6 zN9Y)_ehsB5){|Gg>Q(9WuYWzSglG1>CGCFy_kTZq{No=FKys+spykn{N7GOL^iQX6 z{nl?CzO?1{zx>O;OpiSB$d=bPyCC@c*0;WOvrFT1V+xEZ@DwQU^?0551WGy2hu_xf z{{9=(+V|#|NngqZ{!K zX>*Ns(lTxqAS?hW`C={MqOQR`R~_uHG-$a0#|`eSFn_{|5G1Iqt~?IkuX|CGhtYZ2 zrQ9A`WZ^lCHta@jUO~nFJK+m39CW(9cQ4iz+l7r$*&921?I9qV;h=3 ziTtkzlU3%sR%sy-@H;%1kbjLfmuZRTa{)T6@%($p^?Q+78mu8&5jH7jg1wkoXxBpi zUX?FltQ@2ht?Aj+^opdWI5WN*RsMVkVp+KT?TGMAUGA?|;js(F> zq(i*AT%mK>hpmpvY_>yJ%C2t$m(z^hWn@D^KfPS(0(3LWYx}X(=|$W`pPX`;<@neI z0kt?)W>m5CdTBSZz804%bU4NygN9lLp5~mPDvU{JEXCc>f0_0y(7rOp>_M(c8^c*V zkFg+FSOTcmt9N{TOo5w8fh()X&8%fy_8mz9H(}rX?so?`ct>_%&}c1KGU8-qEYxmb z=Wg<|aOY_9go``CJU1-^w4l$qOplsZz8Ksn=S33?kxUnhf02BPz)a{W4`w2mFPSPg z?#;jc5+t8HbSBD<^Slf)UJ$t&NxY3JZY0w-1BDA_Mq6O$bKEeFtq2R!jsIRv0l_0J zk-{35@mw)J+xob>I{!0rM(&AEFfi+L;RZ^EX{u;Brho&m6@Wc4+^&_3*%sg+Omm-r z-x-_4nU;q)rLVA!x_g1PTFqsG7$({rvGioTT{~!#iU9$1z?d4JPs_WE*butmG-X=T zG4&&+VOR+w$T9aL0K992b+oAqI%+B926(Ik_RF=#e!33jZlDj=9cZs`Sh%2}4DJi< z(Wr5of6Dd9XBlf6_2E)g&`}r1q1<4(>vhr=+NzbK&s{gnv8EzC1lUV^a|E0W0Yu9% z-P~rZh1sq>te=)MSpUlAQD<&!LIqN3t$+zryk&BYCD^z04A-NlPeHGvsrTgRRKb$4 zv=HC&{#$&Zg0+ZqGiPr0p-J}GqiKna>ql4C(m80sC`nz``UcOjO<&IM*_U=PrkXsD z3EoAQptAx>jl5c%wHQRYFVSLdmUoldhj*l=A%a}I+jt(G*(Sp6`LviZ4lXesVp%~W z6$`ieBIBovWgx=anbpNKf0Fp6i2Dkqo@-Thr^U1? zeG*}Fst)ky7=)$@WgS5AHO8PIp6)OUItwJRv{@2I0mLUz6gUa}_c9muGv=RA1*PEY9BCp|3Pzd~S}jk_(s`@`6>5!>(E$uqc-_k!sY8qQ>Q?~S zc<<-O5K0kDu?)o7O~e<>BmN!p5TH)$KAOmekQ+XNa78^XEuObsy2kVaOh&goYvRa% zC`JY{E0$v+Slkbfq?Mp^lk)9D2JomJbWZW1_~3m!mwo_<<~tFViYy+i$y4kp;VQk_ z031Ast`zIxHB$59q0~HoIMtSRM6AKy1eTHjgJCr|av$V_hHie)8rBM}2h~L1EcF2e z`zx#$0D*arwrf2|EJvSxRs{gmLaRjiil zlPt-A`7_dtDkKNl2n(6;Jc}hTMf1AwIp{{z?~^Qn!)`W^sug6_2-hHRsL~~TCX5;U8~KnO zVoyuvL>Vu*9T=7}sU)UM>a_s;xL3I=68Ds0bmCr4TDFX`axZNt_Q))k@9@KsJU@~c zn(&hBd3i5w@UMKkcR0SiW-9L-loaPi|CD^K02(`L$lA^YWGg;VmU96b$%zV3>H1$Q zGo4OesbQp4X{vkCpu?d5%KOZ*P@Emm#1e|uU%6i}EaV4HQPovx4Hg;f z+=ULtVuLxLqHUS<^0LTt4h2!}D}g~}#%X1_Q6iQ%4jpNF&{O#i2_eSS0$PGkLeE9y z75ip?PD3vhH%{^FRqU97zI8t6E~4y#Ov}E@4#vh2+>P3vljJjQp>qB>jVbVKQeezA zJe$ zI-FdrWg0xMKQWWc1TT|>o5R=@VzG~nbYE1KYqFT~UeC*5a4EMeHbEjEFO6_dNLFJJ z_Lgv?CkP-Ip|66D}>8E58n9bKIgf4@|?*{a)1GY{uh7=rq z_o^l8W{=vJCbbyV1P9MZi#(ehT;Bzahc!DR<2C;1=CX{XpdjL_OaaCXCc&2tWA_^6 zJk?9O2yU++fKK7QrF}WI_RXXfkDX&^SqM14>6q15zrESBSX87sR5Vg*Y_`z-M0uvY-o&8Ncc9AjS# zO)c&O@h&mX7ofAQLDkY1oI1yI*~y$Y{~uDorR^+0BF^7TWet~=ru9)n6^XQ_4)g=9@ROskHB!@iI&4;AO>zbEku4!6P zGWP)n`)nlTSPZ7_MFd>VaV@I=Xg7Aj3QeZTiNoY&ExAU@y0}<<;svRK#b9lD2U^X5 zgVVU>t=X2VlfpX{#xrYbov6v)ND>6>FX1MhV*rC|%oPB_3?ft}DVJD-5l?XBz5r6E zSjz+!`D6f#E{|@&RA*S1NnJo)Qw?;_K9)(~k7W&nkNjj6C}b!nLM4U^QAix;v?laZ z($?<+h`JkPSfr^##jz}Re7y50u!=nKi@*4b>)@akkXq{*l0lcopZ@fx(H>CHy?|pbz#-#LVq`&&Bzeto`FBtQbyN$ZpI&gPk8|w&7+(0&wh`_EqFQ z%LK%V@+@0fH8OIf-pyn>$7u-8W+i#B#4_(NNEoO2Gsx=C^<;B&!exEs{cdKrFk2pc{s)fvZi0pG_0zS{An5WZ}*94?$@GP3hh?C0yFyYHQ&&xc=4)b`kq#Prl=AJ_- z|CKZNMXXb+Z8(G0!yIz@l9+ zxX(3RnlzZ(?ZNxNsiyX&Aju;1S^_9hkTETDZa)Hru242h0)hf#-m5@#y`+FPN&VA2 z%V&C1sek!mT3$Fwj0>iW0voOzm)7RvJzEFxs@LWaig5pl6u%=|Nvo5MbdtIAi5|d> zG4rsT>-W%-?mwBP9WRwR1bAY{wXjC+?F3N0pYA~i=&0B%$Y%02Y~K}}y9jP=#$Poj zz6UTP&MXTZAD%}S;ZfI^vkgGo`W$VXgLZku9xU8}7J#jSo_h}Cm&lYF*Y49!^v2J#uT(mxvoXKtjz;pFheNcPSUlgwClHP zXlus^LerX!SHQ(C{dAkDiZ*^@2p}9T*S!ZnHI_#KLS2w{S*naXXuH}hol^&jJYhwM zCnw#EHZda8E$QUG;nJRa-(UB-*QJ-g{N?K%*JbFPl>YD!|1f>=i(iZ;H&`3q`ObH4 zaOe30Kkx(TGoSfPSnmlY9y@j{{m$?FPI~*>-~N=l`PgHR1<+R(@Y0vQG`;O@Z@bDm z@TY$2r_u*M_`&qZBacK@+wtKKe>lD7HLode-Ehc~b^Ona{BlvUYpwsiXJ{eB7Qy@+` zQm{;UNJY#58ixzvrWNY$W05+^-o|0pnf({fr{&ejuyi}b-bf4O?jF}$$ok5iTLY~H z5T}Qt{AFU`YuK)*&rq&ocZJw)TSMmJgQCU!$U!eX; z2Bk8&){NX5T42`n^nZ}2wP62^q$6a5mSm~=Z z>dj6uFQ~++;5>O6NlnMT8jc9Mx$|<5o5kgvqhQC=*)uT*BIcmu=%#{$)Tt2Q`arwF zooJKxsBs4f7#sa64j?3~Cjg)T(zu?ZG>{1{!r+%lP(slx()H*iS8wb>gnQ!wY9*K< zjD&j_%GIrExB+$TpiM!mSc}Tqp5k$cxUHX2y)lFZTtfq7HPcUkg7<|2Kig)$i)XcgF)8}x>iF?`ZV~i>0 zO9#NX^(i(#?%^Ff6XQ#WXNCKg`dEF@*)`CbCW3ekwPW3KRk4Ia#7}MNJRY-~C;tskD%$x?iAg%XsZP&Jow6SPfpP5|?l3e^Rw`nydg_fTOXFRA-=t8#~N@ z5U8+xqmKog=X}&^u&^Ao4&5&KbfXOVTR!jNiLe zhq80b<1CUbhTxm3HQb@Iv(qE?Ad`~vrWn4b)8%C}Wv3setjz`5iTT5+x`?$QpR7+j zl{u7Lwg3m+Ku`d0sE`G{r=daC##*t@CPkkwl4P2>SD~Z($5IRE1002M$NklVHQnK{X*Fo2_QI0gt)`sQ!`=J;HTwzuoGMU?se{LlYpgXM)6zxc)Jz3+W*`q`iT**NvlkA5`0@r`dp$AwMar;z^SPyPh4g#kp;5>Zfc zv)G2lX#B~a{K<6U#EEs+t^$TX^g}@@>3p{A)~s zF$Hcm1>_0uXOF;-?`dO@!9E3G(d1n%05DE>IR%hUBk}Aj$eX!}qVS|SR!Dlg$&jV> zaFf`JF-WThP<|glz$VWTP6D~%%y{DX6l)&jiS{{@bXRX!WWgbuZT@M+Clh%sR>&^vJ z!DD+NIJt292xUUX34qY=@~zy3y;^b8=wE4If{)JubTYl+tg=_(J^->+t=`0`K4hR8 z-;x4brs#={yH?_QlX9xiQyNq$PriMA4&^#zi|v4eZYho?+abxVzK{ucT9n(S56XVt zV(jz^LqID|*NHmFr;oK*G77-cd)A=OWfYdz*pJwa68B#ADGvimpG98X0l(43AYzTM z7!%<>W3(m3Z>{Fmc-Ae)2aO5$ z(6ZaS^E_)Uxs5%q6{GUE-7_Ai4@{u8v<8;~0;$sEJbNZzWMAwEK;b7Z%%txqH*~a*Ty%-@LU6rDT~U}tvdaN%z7w(i*N-MBuWa#*jyNMyKvxFw14>qb!s2{B=wMy-tdaMOuU zBe)qZHMLF~B;BU!t}AZsZEI51Do2QTl%T>{xp+5P1?W>@z3JwScVM*z_<@&^P3JXeN zam6}l8yN?=mXG*j$#qjApcKO6P`g+Q!GRdxs%EuNfm^1?#$HUs3#4n49AMHuqixyfFr!T98jAtu35R zYZp%ew6R}NLj#q{tNRY5J-DP?h6bmws#Hi4(41!;?Y+E|mJ!-)*GT|HfjBqCboDuz zLzDg`1X{+6rdpsYS(g~BIf?{T+!p)2wwIx}6XCRq@V%U7anIRh&dgzfR%eX#=zWg% zXt>Ixj>cg48-ittV%L~|(^&EK0l;*Bx}&*}b`jHJwssH!^C0ah1VlmC#{tiE0iyue z;W=GoTvn)K8s5M-hpW)k=d87$lr89wK-oQ$>YYc?a9&E2-Q#FC10GfH1wx-lvx}d= zB62>}y7O#C5T6loH>WLqT(I`F>SGR6n45)TC6AVjXiB{S^m*h{JV_3N9gaooXZ2i(8fBGCsj8ODjTMiLRYvtN{|{90dg@)ra8` zw0PBsJ$i0{L2gy#`21~30pkj46==Hm-h0!lUiGRiTl#fh_jT!&uY6_t=tn;a=G_g2 z%pd>pAKxlkzVxN_Q(yBnUlTmv z`ib$EF$KmHxGgB)>rI|-oSs`02p6Nuy6!On(qt3xPw=8DoA>dmlIfX8ImmDhDy^=< zX!sqTKK7)Phn1UrYC1&PCk3DF7d7OR^1vF3>$%SpJBsxY%T`rU4yk zQkqsyLv~w1rfyK4K;dro9nKI6Nn?R)rOmDyBfL~V^e6}xF%hXtnN%8kpH_7{9W$F$ zpaQA#kh1y&W%xZ;u7RoF$@toj67B>tY!8LZS!CPO2M?#U*cZ9FFumPK0|7hTypGnV z%;z&SoQ5vg`_MPiXvV9H-tvrcVkcamQYM89#R-H;PGxbGbuSPLK=+~`mRqUNcxv|A@*uvYfNhFMr z*)7BSbRjLcd9l?=p9lE=w!M3BHN7hxhUVjSzoh*5crz(5<}Pj~b?=a}UC4jz$9`;G z8`WkXJ$f{~;~novfAcqgla3ubc8B!j>Sp#Ido(a&Ncf#`IUe!Y&t^{#w1@2GTfTqbXkf z(oJnP-0Ee-V9AUdW?V@6xNSFsqXj=#e>+Ce;>!65Cg1efgTr+8Ir0f@zZmoUeu^mr zsMnRQ0l5`c%6GMie!1tS=mzOjcxW9^DXKaF!XV< z{3F9EAf|vNeeD~cY=Zfy_1;#=xoo*w)+ux`7s4&5^F2Tnt}9Tn*?mJv>qLNw$~^Jb z2J1^ce}Qw9W!sob(Z3ribdcHmP142om&x<=-B^f)MGotl{SX8N2+3HN*7Hka`Wj#z zbS~pH#u_)eX<%mDDfSXc{PNMC3k2n|N4mM-kw z4+sKy!N1dtzeBim=|P`9V`d4h!zG@F;G7_#G4A}XMcN(&RqN4GZ4QBd5lcdchFXyd z6#|2jSg_9^?%p%>q_3ioBOT>m7@aHES)&b_gTicSb^ ze`0Z0=l#H#o;rM#>CnI;4@*MYsrKZPyfbv)(f}+Jyt_D2OAAPNE6rNk1K>QBu#yJ+ z<09h(6pyhIN5tM7&?d`4V6bq@a}gM5-)5flR}i{Up1=aHf#!3Se7fiK)34#ir+yef zYZ~XC3i=3?@BkG6u3it2x3daxcLuG`bAXnBb`x0jH9Bc;Bmm)-@~}v&okNGC|uesa=osKGf8dLu;O$~v`(Z>>ru{KPPNXdXiukpZ_KO8@_#`0 zi)o^dRUMXj8E#i=x;~}PIIDpLaZFL>V9p8}mzy89#q-7Uxz>}8CXrXVaTk_?Zp8$+ z7?-@)(coW?{w}Vw8gh@hSr@P*)T+=ms)l7}1?$WnfM=^MK$oS~ne*6PeiJU4;9p1? z8&DJHju3NjE>%~UqY>bRa&a|U1w<5hjH+l<7c0{~;ObNlH>ASZpl1z$!b)!jk)QeA z10WO>wEZH_mS5$0*i@|w@vtIP2%(tDR&MCwcwG#BxALzh{%W90MJJN)HkJg6IbvL8eqvsk*Du4Q? zf0|TcJbwImy3D4@0}niq1hI7CsWRiUkv{dQPpwyL+(9?Iu9g1p|NXz|qaXcfWD#8a z(I5TM>)tb3-g)9OOM@~!{P4r&*Da4njvV1tK7p68a04 zs7QlrzC}w*t@4sb&#R;yZ&~_M0%Kk)b_v*@;Cj)TL7Vth@Wva@de5dwnZ4|fw6RU@ zFTl8|XxN2j4ZyY@vS$EX$SJxV)$xW|>EU{^C6l~!>&QBFo?8uY$i}s}N5w+V8-Gwh zYKA?J%P87jD@DJDGL&RBzPd?S%5z~c39Y4}K$)_kGF_0DeDd;IGfq&qAY}^xQy^HY zIm1nq`7E=;j|M#X(fRY~2zw-#QDT0G?B}xf}$T{hKGxrmr&I?rBbn!zXNH6rRrFeVyuW%H{rv;|0)$ z=8LWuD!jRDQz7Jl8!3=qw zg_xbIq8}{$VO8Xjg*m{Dt}oxgb!Z$`Hr}H)m%ph~1|~oXtV}9yUg=`-z(F<@ac`i7 z&25yl`09U^jRZDG`?ND$Ffd*!Xt@LkAbogKsqNN(^2wB6VAEF1B>SbiQ7ob=#5KwE zp-=xa+yhqj?T>qIqi)`wO@a2Na8WCe4&vH{KtRRZ_h#1snClx(-iPb3${9dHt?Xd9(+Wq| zi>LF(ZG%XMjg8fyQ{<5(tIi z)fzFL5B<`Wa?}O$8*7Kphe9G4JT5mQPGwow@X1p2hX4mWc|*FyV0=vP2!e z^_l)Ixb-N2paPjLLC&(i3Fs*RD7{Y8r&&IinJ>oBY#~^wDcN6|Nej?S&`6=++|FI; ze$O*zW_Sio+y>90O*+rLea8M8?~OJ3y`!FofMJ{&H6V9U#zp9_<)XrXNwKaBxUPGZ zE5gjRdv88nr8KbKo2Bek+O|a5=b10MWict}9721s6h!0XW`F2YYyMPPy$m?m1RTV2 zFq@i5&BOQO)H6#@B5>Px>2-lROf96i9ZT)BLPM77xCfn^NPD@j+CIj66MzuFFYocL z)}oCvvI-y($V*ni)fSd)Na~!YUdqX_H0)GRx@Fo*jTO>q9t><7DHY{|B5UUS#d^&NRL95N<*DA}Ft<$?Qm~w5C#HaW|V( zxMt#LzKT|Q_Nm4CVxp`Z|3~(u+MP)=SWDJ;J{iDarkhxvnbyr!=6Gb*g(zTPMW7Gx zw%9F-l8Qc1elD?y1EMR^96&O6APEs874Dx@2V zj{667_?`NK0@gdYMr#NEI0awdhlf;2PqwSLva#Mxe@Q6iTl%dsSM2S{Tf-+;8}Oa< zWunzf%kcS0uyuAv$X)K?$v+nG64|M73i+&t{4WSsqr4XTf;BvFRQkjsBv`ecH|ogu z&9yAeE$>K+D7l80rp+4WJtz;>QO28wK_B!lVtRNtdCjoVrW7gZ;=k_PceOUMrV z`2u6>i3!FR_egWW(@`)E_17rVcGH6UgiPP)@b{ zn7>g};jKoxkG5TacsKcr51=LYjnkL{TT!6c-Pr2t`22H*0s@2I^8{ZDUYVQ9x;MmHN!NJ-3Avl{zBtu7XE6;Xp=_88j&Ehp z`;qbTT)DWj@J7rn!GQ7{3w>t1L9)iZ-owi^m@^joh{MH8z_*9~;<*u^0n0q{_)K&e zQQ<{*TP51ofAp(>6)UOtxfH|Dr`zhaCIHpOKo1AKd`)v?(dz`XN; zvO+_TagYNRhRYO~F5RYVngoa(M}qFFY`Ej1P*EOFgfVwru7e>lra?S^hi7Uw5=l0$a)Ylyey|J_yz~6Aaf&$dvihe zQveJ0#gA)Fz6EHyow6;X1bICQv;x+IB;?U&A^l+XD=_`KJY8SUEFT71pf&EJPhs`! z8fO12d$T0{Wzu;T0*bMA3QiJhPGB`G5d|q-6IqwpF)pkZHz_OA8qxYqC{u(LA;NLQ zNHk{aEdU4=B-G|>G5$`|H?8gjOa#{!c>Ys7H^D(Q0hh?rLO7owrsERUs|^6~4sJHf zAn&?hSv`DDYVj^wX6>J(j6U)03hG?Bl1;Ve@UaBz}X7Jy-n zpT?o12yR&1F}@7kev&!v(Q#!QohHI|13I0Xtsv|y61VL{sxI^H2r%jrLx=ejh!o>K z0|@3lDd?UP!w-MFQBI#2cv=l=8HnRmECqL^K5+>Zpq(>XxmEHd+;^hfBB)3bctk~zRS3-2n_y!_;1Lk7irbyaD*3PotP2hfnoz+FX|KlIo}rxZ!($s=e`phV zvL97z{Y7Sm&i-bu>z@|VB7 z{JP<&E6gAM;UC@*<8MQT!H+iYgFpC#KS=-hkN=qd_HX|->B{p~q$i$uf+zr29^Q6< zKH~)rTk;({cI<`#yg)<00m4}nc3$xc=GzS#hZruuuFHJnaer&Gr0iFIye{*0jRcz% zAlbTgnSAM>p0I%AcEOmi6tpPIqkR9BE*fj(@6#WF9~JnN`~BV+Q3%_#8PN~=ZJ$lZ zTj5Q|x{$l7Dt#i$){$M>>=}k-AhMUBj0%+D?SuMeP=>5hMw5L3k8NcEc-|^wPXO5?oHN1+fox+N6IxV7{ zkSeU2j3cj1LYLDHp5bBkNe*$3ymf$poYUoLjXo&zNF%NO`tCW<2Xx|szPdcs`cB?} zfsQZeE*~CuAa}q(=f+}JWI^L9VmDjZ# zY@=AZMtwY0f-pp4UVk^*CZ@HzR|H+I?=?T0`7;dBryuA7+@PKPyEH>*oQ zzqC{=UPzney7oCYuloqHIhzZ8HX{TXN^r2eGhB_b!7Gp$7EHPkK+`9zeV|8x3Icwn zSiyNo@nTuG{PR2uer#;>GK|<@@=?A`+;}qaf(#9OHw{_LBlZ^8*$*S}hnGZHym*Zl z1AZUEvL-in4=;m0OhiQxlYF;R(rs&44q_STv(jDY2DcM5)_(QRoC(_YFD}H3&NyQk z8g9DBl;*l`%wZ-X&KnyZS`_AA{!*$uOxzP`J5HNYK#Qvwca9mx)~!r}GXbJoDNN7P zu3xYy1Q5my^Hwn5d8W(J3V_KvkTu*%nA!mJV7e2`shnT9N|6@M-O=QE=P+7xTCr-$ z+lK+K05B$8vxI9WB=nCj4`y-{pYX{YM0}A*#@4Q z0B=Dn0Xxpc$4oWUui+M_yzKLGoplWrMC7>#NT`)8@f{*|MwxeT%wcX*pY?<1 zs5{hbCzj!E(t5Ag9G5prmytTI^;1_cx)N2OIL&i##FbWq#syTUm_cYXE}_DRpHuYl z$Ynq_06^Wkw6zW--*7t1c=7qp@-CVO_}`Bf@KO489-wxaF)YwwtUiOU3j|(bJV-tT z6(Jy3OoOf)+ixewrN1;_eo#FWkn4X}2ihMSHRo6wdeGh;kHj98k#6oQH9c#OU%gPK3y5Ivcm1%q* zGbRA1JeK@{?d;)(Q#vHIYtv|0SFGhUww0t4}dn}q&NrZ+sxVnY=k_F5K3%}wWBCU=+yO6TAcg}{0#1CTQ7`t zu(38nH+bG|&`^CI@do_~aEC=-FH| z_F)AVs2za9%K*`hNq9LX8nU(CRbvUZN!v|?w~TwVCT!a<9@Pp%y$M@nyu!O(7T03% z)vtba08PU*TXwzQB>mja{oHlI!QtCs{|kfB*M?&-yf2 zQwBHfhhG=G{r>O&{@@ix%evn0TO|)(uN~v-V+xEZFs8trLV@7fGx#Bo=UFqOyRSMgVw(6!$>EpJ2OzOpSIH@n~b z<^5&e4P|WpqiB&33G#jU?yy`P53Yc|@Gc#k;_K={IJ1IX{IL7=IfR(XlFs*p9Xpb$G6bBgq$=LU|q9DJZ_k z{k0a}Z2*-I*4I)iTS-sSCcO(O5q61T-|t*PhGeWE=k}uA$XNj%qj1Wzs0jwraKX|B zvh^;4rr$TSFCCgaoF?m66!YuV$uu*uH_afM8g8Si05nd|2?~s#^mF1dU%!*v0SC(s zx$Bp(?wchB(k{3I__UtCyWRNSmXWB01WBAeZNZ_0F!DQMsd zFT>=eG=1lb225O~f9n7yyH9yTWnpl5=*w8Di8*QuW3vCR6$o3*MsGwjx z3)eK);!Tm`2V=eCigYOcM7H%mS zTV%f520==NHJ(D0u#2(LrcDYW83ICw@wdT>&}<#(;Rq#tmbT&LA)2x|Omr1W3Uy z$0{NhiZv(z&}S_K*XIo2S`YV^l?*|X>($P=u-L129!Cg13Jq|R$#`ew5U{=SC8jWdCf_Sq6;`lp>_a>BjJX&0Lu?Gxt2}oEF5|3~hVIDrHM}M#kG-X&4VqVL0r!^fcQ=v=V zq)mXZdS%Z63ynF5-ZS?M6g_HM6;h5}VQ#rOlDmPj-p{xYv@a|qp*F&}prc3MEfqDf zd#Lx)#*O6pkN^0O^zn~> zeEk-^#cY;_WiG7-1OSJv4u|j2J?i`3_rCPc|NPJCZEt(qw!zV|j1S!+d9bW+d>m6? zOo2O)0`RpF{sEpjlo{bw+$7g)i+d{(XK$P9?j6|stC}3{C+UBrU{^ILUAZBQ|_;xZKm4p&X`gZ4wCock;SBt;)@8^A{NB9%6omWSHbyfMcAWSyg#XuPAu<;JC)#fItzD1Oz%Vv6a4G2U$DsYZ#4ulVfgVE}xF)KE4pfj_;+I9BxRL(|q1t53-LkTJkz%TQ)&Yyk|G zH8n6s6kskl`tJmHh$RC1~v)iFH_?%2>{G$ApigC=$H%*i0^5^j z?yf$Mdvh04z}R>ZmyFnCTHa-c(5TsJ5%WcWtG5aOV1Cw^Kx`fPk`yF#rRK%Q8X7OY zAerZUOZssG-Ss|xa}Qc5q2*(K!2w@HTC>O$@DdFRCpK3F3Ii};lQn}8NW4G`PKNvV zo^=*j_sK^)3V-VssLSAzTQd~MhYQ3C!bANG{Pw8PSe6=nx@#99K~ z!+MlCV!LDgaZT}efN#)ZtMyLeGS0&U2AbzB1P<3b+8g&PG*U)@q#?{m5Q;O8zsrQs zgS1ura*Zppk9n&G@4Xqm_tu{S7B z03f4JF&@2-u@U2E6Y#CP{plPZ2fUWyKg}9wPY=;XfkIu0C}gR@x4_&~^H0D~p;e1N zHBMKd?{3DpE?ssoem4UMZQBzE(clBLwt|BwWb_%cYJAQiWc8q*Ze4Qb{;KaMk^rS( zq{6ALQmjk2rn~Bl30+UFa)dM?=~?LD(M1IT)NoF%zy=R;nu|&!BT2AP5KWs>N}53?g zTu-*MOXj_+&K0pS_B?*iQ`9(|%kBqf*-DcW{HDQ&!weE3f zegxp}%V}=6m}4pX)#k)cbk*pLP%FM(yG*wRwxC!qXnMzAAKpB z6zv-Q(`Ouo0Eu;+cBtNc&BViNc8P}xn0EN$3$b?Hm8M$6Uugqu)}F+z>;mpX0nM?} z>oFH=n8`J}i)?tDV-HG25H?iMlGckt2X~_F-WFsrm##!h_n(MQw&{LlZSRTObdpZe6Nl9rwy{NM+}b!wa({~1$YOo1^4o(=`z zE&He0m(k0U?`L@6h&Ru7<*mMZ3(6(D$0G*cp~FRJh^JHM9dNIG4v^5cN|#~Tj8ma> z4gVjB>&n%^j|_u^(hlW$WAx?3kzV(DRor#uuQZoow;tXDS8+C8D^q0j#0d989g)1w zvnmQKZ@Ts|l<8r_f|vJRKV_2tC+QBeR0NBv;2(u}yc(V^Xtym8{BiGzo`hUx*o2Z- z=F~_U)DwN?lJyQ00ArsICCdnd&Hk6xddtYcf=vzb?LhuhVbPd=%BF2(wg3mML1s_h z70E(qP#GwLABBTQsS|!upY!>?G`(~tb*A781jcYL3UkVTtpkhw33=TP*D_=QEzRlx zK@~v93{NY&kjrLJn#4$vBio9&*Uxl4s_Zxce;bdHiv+~Z@S38xl|EK?gQsLGHzdKN zP!i^>;zF4mg9`wIyOB$GA*avtU2D`w*|)3E_XF?;_uvs~AM)=RV$fHi#V+!G0WV^g zk!cN|FbRk^OaGe4oD(q7O)UfsU4X13FesC3m3n(2*aqjJX*@yI{E&rEYV=N(No&Y* zJ-+v{StKSslFT575&N8Vq}e-(%ybXFW$;o)c>;6=FsRjFVHv3Wtn56TA|GvVTsdC+ zBB-ol=CzV_6cUMF_(gU-`xJ5tj})3hj-V$|R-!yXLg`y5s8*vMYq6}(G?tBVdXE)%^@8Gxx&n*h{iHWBbUmvEZV*IipL41@FGFpNxxt20)y1Eo+ zXscfV30=@*MZLn9xH&G!;EP@+%g;@;XfGJ(Dvb);EwsN%a_qG za~Ch2Sj}k%dE9&_sU>$iBrUsaf1j6r#BAIQz!P8t7%@(sukdV_J6`r_Btb*tyt$dL z1(=|Zu_1K{n+qNSM9TEv?4(P}9BapLZCO^vvn&~Ko@#&(Nq3RBWqP(a)!t7jW(kM_na$^FXsehZfXH0vm>Ak6B^d10$R=`{s%yD z9j0x)Y0h7mW!rCx7N4;`%*XeF-j)Haq79{%C{Nh?c3gtFB(MX{?S|FEW7| z>%39$$~wyAdS;)UQuen58_g2}4C|BU?T2Q`4&X?fGY{)fU;wT|g0r5p3@n|IwhI8y z-?V)l1T;_ijNve2406u3vv^*C!cdEKa&9=eF1ltqzr9qpcR0`RcQXmnmX?HS2!|2@ zYq|B6$#DaNYl>KyrJ{m#A8c%vS)ZxnJTzNGG2}epo%$e$p_y)16e5<<;8gf5W7u7m z&ZJq!ni{6275cTC7>Qa1w(Vc}&L}Rg|5ZElG;2-8IRW|hV}*Sgx3>cFP2MMS+;3b$ z$8ekHV*LU`3YYy23M&OzYNzd|w|ER>^fpi9}V*BVx#fYu8C9)yAaD zlsWpdMB94^gf050@Y{4eGtO60Zdqv7(=i0T76Nnyu;pB9IcRo?ye?Tm3jV0gSm~Zm zdlu2OB}T#p;?gZwag)NPMU6Ot3`F{Zn^4*+jcuatdp2k+GN-zLPb>xqJ_200;6!Lq z?5QG12@=v9rVAhuQgpAnhca0+1}R5q?q&M|Agt1s9s+o+a~h23o-#|J5lp`Ye#Y;9Gq$G34p9$ zVG{!vM~0l#RcpoF37%SQ6)QX}Bu!h7nX?aLy>RkV*8t857LD}aj#u$}&F zTI0F*q=WBacQbH3S_g2fP;VFavsIO|7&Bq{Cm$9s02@oYDI?QT5Vx?IbqWl+0aFB2 zDYh2K*2AT!K%|z4?wC~jY*=_d)`<)fjf+w#s-UR>DA!nDoiTwtI8*KCvXdj zt6_l8CTqb2?;}EB;_et~qEKCPNu{W*QiD8%!whiHxw?1^m%jIL4^#VYOJDrr7Xv`r zs$auEn|VI-na_lq(9QDe?c_DDc};rhOJABk`N>bF-~HX+g>@+A%y9k>edt3s9UvUG z{(GtbVF|PixBZ#=u9e@L-t;CsKkIFQ8Oi(No$q`nI#MV}ZIXroLN6N|QtLpiBZrf& zRp0&Ycc=gS&;N|mr%s(p?|=XM(;MFKhT&}E?_&y#DKMtM4O5`6hoR%gc~PTiY}g4D z>LRqpNJ(Ku=voHfrBZPP4@BAi10%WavY*Og137go<#EHc#9mmwGw9NnHZtIP+Zm(` zKu7OcITl0xMZz-(9Kh?zf4KD&#$_R6$y9PL`8G`@lM~0y7#{EEbAw4&kim5i$}LKe zpQA0L06t1Okk^_c59ii-U+#s|Lp~6ELH%t2WE8F@;V0p(l`FPP5<(g%cPm#a3oFms zA3P0B!S}T&a|#bD^8Ny?)5Mt5n~O@FTG90Yv*oIbWDEJ|or2IKsQ$tK0uv$+t-zD2 zuh~SnoF<0*0?KCzxg;Kh;9%MIkipl|L?7=b@X1wO{nN_{>N|+6Tn9{>K;D~b7kip2 z0UF+57PtCY3uQM1(v>E11Il;AaiM>B`cMh3vI~B7opRCKpeKKV;+v4keXf>JH%!01Ar>+#NHxuP*sprg;2(X;UutKqN*JrRxpppZd`9EHswvQQIwGeeeEMt09y+6cZXBO2G9liaI(gO?Qkb=b$~ zA&dYwBi}dDGI0nmG6qj9olA4g>2zRfUjT-)ll#*gmV}+&YC604rF3BK;k0}De##rC zyNLpKp(uJcJ)Uu2ZioU}Gr&yB47v7&Tg&SdAk!&Okn?g?D@{uuwSEF1;zbs2LS?LE z2>h_oT>yN8f<0%FiSgqGn=b*G3XbbmR%))7=Y7|hPsT)$(T#c&FVj*}M@B@;wE!)) z5ax@UZsA|8u1H}$Xq)WsND2^921u=F0UTaZTcunLHa43xH`9%$b?`vSh`VL{ww#UU zV8pHmC~Q^u_09t%^d3JJF|!0#^w*zsZz&Tvc)1H^WK%o?`Wk-v&!0<`dyWuWZuj*{ zziHRkeeugFj4*RItLk1<}$@{2n+ z|7#wfkIDnC&#r@P#1F^P2+d*XNOHZ_9cmQqcl-YgC$%U~G1gWnU&}zP!?Z9nt{x*7 z07>^Cd}zAYO*3femf)bj1^zlbC*6fEGTsFWSEcJ6MxW0Te0-&mw$jfq0%W zy>GU?mi95es*Kx9l-Wi=)%B{RZXspPtTa*!>#Zq-&#)f!u`xtYFXS1KiPJQJ$HMb< zm_lmgFf0`5O^0(>OXV{K&=^)}Jnu>9x)T~S0FMQ&S}5S0XTxC+eK^Cr?SJ#dbh&*A z&$o*RWP8%()>2qo8mrM{wV@P)kW%ZNBkmxPA`p`1XV~0f9G=+Kpoy&i0M#9|KkbZG z^a0#3wiLS5eN>S1S@*llU#X9fs5M}w=~g5*1gg0029&dNS_$?LlB)T9xEIX_TDWG_ zs!-t2JQV;sTF4PWl>5tM|0j4y>sD56U4_OA2v2jkDpi256V$y$EWz2Gd%0fa`RmH3 zn$BPTT-pPm)B`-M)^{;Q3-d7DiFRAZVI@$8LAb9pc*a;6=DLER%}^gY0YD+hNdq@Z z)Gn2Z#@EBq0kmMPWZOY{Hki}l9*E~DT^y?lrLiGGE>2w|ah07QHFHByRM<9{B58uS zfV);F0Hle#$H1=gX=3#^gVo^9mE8#6x({OP)rfUb!@AWmMFVoI?jl|!z}qBlQ>$vP z@_dZ*Cm>iS4kwXMqK--*P!L*mdFB<|jaIu0Y#8K#g%en!3Yro#lH6!q@Jx9AAfU#n ztgr#nt?_(A$aOsE4%AH-EHT-533ya@qBe?O0_QowVG!LJ3p~U@imNdn7)Jow8U4$# z5UkL*YK?IU2wNqdXTMD=7^BAD?KO#&3Fz5HsIR)w(4WRTJexs`=Seno>Ql@^mm!+h zK(9d;q+6vXhLbH6rCV4K5&|RFs$Le`@6q84aWoY;zvI6k*HHp>}I8Sw+#y4puBLM3WxI!f4|Oc zH*{IhPH<3=uuN}$^PAJxfBn~&Kd(9-IdUX@?bm*7I*q&km%QX9>8)>lYk-QQ8I7U% z-uJ#YT)BSsv!9L2fBeUPoWAorzcW4j@WZ3o$G^uE7*k+Ofo)MBXWh!rJQ<-T^eW^& zfYxr6Jy-)Nwz*}F{ z0r=;}0RuZ5|6>Q7~M>1X1c@|ODsv&i*bls9Lfc^}!R z2OmF$oV==BCM}d(q7B{%AK5dmHDDk-dR0YA&W2JQ->WD&P9f^Ha4%X1I8v`O0d55y z_$u(z22|6nsNj&UO66&%x|3=D>NMcuW%zaKfcI`ykbTJ2fDcyvt&VIWy^t7Eebq1( zt7&;cg*Pqm;A4>|JIF$XkjQ~_g})Ji9XyEQ()!<=`8W>^4loyYBC``1Bfek81?dv= z)z5C`nF*>{ySw;+M7DP%OqKPhB2*C>DRr)C|>t+a2V z{UzMJ9%J8=uoCpuJ%T1mkTvB!HfJhKKA)*>RaKrvaN@bK24Z>Y#B}eY&ok|Xyeq)G ziX4VTVcc(Z^1I}tlnzL%R;mu8BKeK^9UZY;`{X&LC&nLN4fnvE$V14O0JlA4pcX)( zGUx&T_!G;Q(%$Cjw0q*Qv>)riozwTQ?bJ#amY+z6cmAJnNjj)(e7M6Yu=(0}hj(h+ z{M(ZPFMHX`(mUSqj%zmVD_{9ade3{_bIm+kUCb}A%R+J!z9N9-#`!gpKw`KSlra*V zz)B;m+PE*1@r;){3%<;Xo6&Ck`tdy}GZY_IR9DsVyVqnSWFB~N<^+oMo`{*o3xbuG zYb?cnSEB~NqhLT}c-<)Fnp$0M_`=9#Fum&x*fsicD=rD<#pXLeL*@qlCaK6nKX^G- z!YXrfCik)f%GfYN{bSgHsp9lqxoZq@dRyTY(-FaOQR6)`oPV*(N|e$Rx3Yc8P0G}8rd zCdd~|%b@j+4+NZW9gJ`Pn6oh73W75EvBAcC%Gs^UFn7;G=rx|@QP($n^rWmvDtlO7OM zVh!^{GUYp#Yd}M-?(w0fz(%XXxuNI9N7g4Ip!daci2P zZ(9L`UO%yKe|jGEo!hk=0SM5CdY5_LYm~2xmOa$Di@J9M7HW~GOXMCOg23_Nzi5_{ zie#AKJ3xp`zTlC4@lwbVg*<_^8yT@U?BQxOaA2NYrGbFLQ8z8ftsxZWfR`6(%LP8_ zFs`DB+QLQU5^*zDKsp>+h%7t;95p&_C6tM0Xl#W#!tK-=u?*Li)8%F_T|&ryau!gr zg2f$e>l1UZ!8i@TmG&yc3l1v4IJOnu5WRWEAe#VXt^sPoa&wA*SgW zg07^}$}s1kd!HIDoMZ@XRvGBLZctRkhAeT*%TN?x_R5HnaWYBlZRZrRp=s?66L~b?#G? z?a=>PK9#0A3fNex_7A5Oo=49O4>z;eHR)sNSHXf$cc6}|jJ02IkOxaUI2D$Md{-qK zU{Zk4U%fZeYYjq09_-rA^wB6WgSVrfrAM zS_P{{#&Df6w6aDUTUZmqAJy<3B=AR*11NM~b2Pd9*BNTgw-&6TV4<-I1s3n7q#Mf7 z^x%UJCgTjg@P#iNy_Ej$@BZ$pbDsG5pa1!FaInnq4d3t$N%y5c^D{qFo{Hneix<Jx$_fI*ZI!mG$g6N8_@%aFWjettgnQH03Yr|}&xI8?d!zL7iblAr7^MI3g!gM6^1 zf-d}O1#5fhBAZiz0qHNZmw`O3XQv+CAUZ^UOYq~VuM!x_j)toMcz|s#=!gtaa7z}j z2?xoVAB?AMkpYdGtZk4t_$x1xcwdzAV{u}Ozm{o|@8!_rKIK0_KkqlZL=KoyKoM{ET*vZ@@BULp3)qJIa&^Vce%UH<7kdq{N9Q=}Qm5`?-1B3PPH#X;5>{Jk zX3g?MeQCdPsB&UQ*|m!MPOT6D&}x*Ost4(j&r=cYywP;el6`M@bjh*PCbG^TErHrTZ6`(+YCsq!x6@82`QR9{Blcn(HGEA@|gX zx2R;a8N5#pIepj=J?qvQ7y8ViqOTFDq>wyHTN|*+2Ygeo#xs6PnxA|%C%M9 zgQAeypk2Uk8)&N>#ZCf+IdTC?0SQa1*%%8{XnzZk8GAy;P*2TYj?Pt|jh2FuXtv{C z8mcgAo|uO*v!I#U$39}SgzFMy9xR3R#^YG)GcJ^|Q|la_fG(h$0m#Z2UG45jmjJY% zT=^_<=#QoQcRrZ*%sh}*+y4^BLpxtIs5e?M{&R;?fR%5Y#uT_U6i{%yp78jwk9{ot z(l7neQ)*CH7-_lY4&{(5g-r`H4{j`6c>6MyfC-^Z;dz*(*Z|k9jvGY0ME`&G-ZaLt z>#X-)`^=|?uBxt{yKQ&dPDn^zLhjAWc!5h$2m*-+kU&7hH^lG(34sI%B%%-y0>r2Y zB&H7tl<2;mJ7rh7@^#CB|VyXT?CGY{|Y_w2K)PgkGruD08bZEAI&I{WOs z_8OkG_S(<0{?8DuFm==8TfmpCyT393ZqB>&WN!Sh!5fT) z%mpu1U%(NUjI6q^)Iw}b85x_x8Eq<`K0UMfpOcgHD*y;87d)lOw2(2ygbn=?KGDP4ls@fF(MQ1I(KWOb z&tKTF9t_Ktlc#oPf60G`HFn>T}NGiUX#nu99{X8VW5(^IN`1f%$ExV`YC$dwgIby2@(C&wW)7NoKru6L%Q?EKfHjjVFqSIphw(mlUzFB|XCKg-pk&~=kBlCRB^ z^q8z2PM}=u+i7Q!>&1RwL1|+f+G#y@RKS-4jR7dL-$CHgqAmk~Q;2KQ?mNXOFj)N} z?m4T>gNF0qE@?ZeZ zGM%#mg6eImJ3AKq=a;FN<^qIuEZnMC+@a)+NRGALwXwAGG4Szc zIK%2u+R3um2cMGL5?Z2-PL_^rEdU6rfegHd<=_I~pz-^9jMa@MYgYdR0AD3F+sEKn z27rUmk`(K(Ylw)O>#71Ou2@HCqw2n901#Ng&1VVA%dzW4XgIT(Qg+>R>tu|u%=}?o z>uAF^S-)|36LYpaejZmj;H9alie>WH!dNizsG9I#0RSQyJAeSy&2z@2;xtyU(eb`Hfe(PLHD{tWZ%z>J|`_*&& z%rnp2)>st*XMuxHJ@r)bGb;&3%}SnEZkV=~GvC>>XJ1l)a8CYylBPkw;@q9Sr}I8& zfbb(9`AB-td)~u(l)qoJpwvz1JKy=vJ2mG8pFeZvOvESr)TcfbW!!1pW>xS~%Y(D( z+&{NZfqe?RLMecS+xYzRY0N&0;9!aU7sGnoCJ*gyK0I}H{CFx6o@9hl$au2vFrLHn z&+4r_-0oXnjlVPa?f}UERbs#CZk<5x3y|>I)!=hV$e1I%G$jDlK_3^RX&#maZwXbD zYT?5w@INDX!4Z7a7@o_R%jIB_VN_;wj(P1eGNxdrV0dI`Ovn{5fcZxm)Z;rPFL~Xf zf-&NNZ!P~kAD20%#P~!uv+|Ku(q<}3hv8B#@*_|j;2`(aVD`+LXUgx(Pk8b!DJtR* zvX^>=wj}l+l=Gv#c-BA`kcVx%|3{r|WB@5JfIkhnhvN*7F7mx)-QPp&5mtgjEW=>< z@rr>QfQON>UODJpgK#8^)n?jQKoJd|TDjBI!1G2$SETUBDylAS&ErvK4EVI3mZ*AI zLOBsP`~$}DP#f3?#45f*oY z>KW$6O=eZPN?l!8mJIK{C~(ZR~hksSbkQJ3z5{~86E;);tPn!#aQ#KV^~2}$5;3u3o#DL z5()wW&-m3r&XK3fXL`(aewC0%h=3{C`0tb8Oq{fU@r~)r*?iN4U!LHPj};GUo>%!f z1djX}QD&+!reo&OFfByi1S<7@)53d7mvAC&EL`X39)YgCbp7JLq{H*)(qjid-$GLh z8T;Xb|1;I_uCt$By%b=D+fVxxcnwg%MOpxXjZ+ssEz$0lWRlz*7mNyRECqd-r~vQ; zAl!)drEP-Q(Y3|6u$oiL$_;TD1g!<9cXGT(rU6DlMpZ3anK=O+*X%K%UkTIuh(o4@ z9Gk1fLND7RC@26^!m=kjbm$f4PhY~uTP5#fPMuwUC)YiDvtzsR-255L*7PmVZo7kA`%Km9b|3@vH z7Q)3`i~^W9Zan)u>8=(A6+g9nXrFDH&TD;w8rJQzN`H31)?N85dS-H-3dBt`T+%3NlCY~uV~eM)o{tI&0)z&!zgKGU&be^ta5{GNa@w9>Ov@W< z=?FBv!aJnJyj`Y@W5f**xH87WV6&Fy05r;NLn*gdW0h z#PVO}9?4Fgr!Y~lqf$_xYu8B;%ktgg|vunb*o zs}_i(upBgQ1|X(jO@K_dQ?fe54Je@39Ih+tfJzuEGL;p~>d5I@3*NeBWyHTLApjd^ zZdAUU+Qd`r2=?L1cZ--EE#|l|QyrRgc(&DP*ajdvfc0RlkFpU6&_?_Dv;yxihbHbA zS2o59Y!f@8TmlS4xaw|yg3TA#0Ii=*Jc}W0=is1k7B!&f5VYs}xEmt&Umcg3WnGlp zf3D>l4$wXBmuhSRQHN_oj3#5)11M}&hiR+Y$HmVe+|GKh&TFKjOM{fP3!rrh{Yo@-@TAqS0e%5gT5x$qu} z5X{_Qz71$w1&#VKfM&OwyL7G4sOXFAoqZCeB}v07bD%=Iy95;M5kInoHEq2~JQR4q zVGEEDx>Z@ywGO1YsdoG8C{=i!xyE;{G1qx*`Q2o1^tF(#UcH)j#~3t@;Je=Su9@BY zvp@T@ndfzlsSC_msRn;8*ti=YwC5^TJa;_v;G`%23jAt7uOGToSX=<+Z3O1fWl|7v{Y zGOkz;hhp#OI?Y0GuH! zhOlNmv^Qf975;aKeAKUCDONd(!Xa(sYPqCK{ah&%$#91TDq|TTRx)#-Xus*oJv#F<$>$nz0*_N`8Y**45V$ffoUrz_G4%4&C*8mx5Q;GQrkU2Xc z7h*Z7OHmp?naqEb2}|_V84x4Oy^tF^(MIJgX@~V-51BUl0jRh@Kiw{>wLgjsaTVF_ z|3OAt44Gb_Z!eaEJ?4P2v@>BinGfMcG#Wlghr0ig=7&$R)uJ482^o|)pvVzJ!dJ9W zRPA9MsXJfy4(eF(Hv3OPAHA6&&)BaRXND7+=f{&dM~(KA+w%TS{(6R)Ke;BHn*)VP zi1|Nqa8oW*=hyQRC>I%2Y0&nV!TT{^w;dFgelZ%$8M{<{DP7aFe-K_)2k-|J7lTlL?o&-=Z74N@Si&U{(B z>8=${!D!s6uL2Ib^5mXuWhE?=V&h&WNno$op!a^67dLY)(-l@LKp6<@b93FiG70(W z%Q25tpWPmSsCaw0=3>bdE=*-qbn8dTjH9C40>J{A4mMr`wA|WGrPHVJA%Fbd;8m3L zGX2qFlFiXbZraaE0d`FCOamyh@=8C`G_asGQ~|n3=LeX^7cM|+tVAweicLrZn(x$g zuX-5U43~d0m4bxENF1Fzm&%UiWYhm%MLekM0amk7?|coA?q#k&`XR`@iQjVtF@Wwn zTI$`S(_vBPb0dRQFyhWJo{14|MFa5TSv9_(G5q2=L}My2xH{n3@E3Ii$|0Q`kjGHZn! z;9>12=%s*1JI2J=iWsP_T|EDA)Ubzae$$PNegq=JBRA$5ETPq@zG9#-11!b>F=BUF zx<%meN&V8mcEtL`HIHqy{k6@pUb6mZxhSX_AmM}nJ9JR&ik{|VkzS@4GrqKtRFJc7 z`?))XwGeBpw-xv9&U3fl-lK8`^b?RBA$Sa&`}|YbaYI1YgpvF%>adRwDBWPJ)hN_r z?BLXz)W`jff<%WtI^@0*7VhyZ4x|%pRDi4dPT51cj+^BndFK)8dVC)u9%Bt{>&rZY z8!D(&iMaqh8fyq|#FnTMKX3y8Zhao15b48V?sM64Q2lYMZ!%9&!5Mf zPE7*Z4*+=90SPZNtQQx_%Q`Jk+F{J4hk}$tue;TX0u3Jl$gZLpG?5-&S7_2waiMb~ z9oYm#0!X^BfW|3pe{Oj#9=S3gr{JJoQ5A9o7IlZJF`VF_$-laL$(ZwQfE%-qhtKAc z6o&w35xRA=v(&CYWA4E{3VP89h+4%NXT$h+0+7yIH8OKhEjJ9~Il#?kztqLm58xms z0O3F$zg^u*6Ob`~*SYbq-l(MOb2Z%QAR;694`^_Q0P!UR;5mSy?e3>juXO=%>jsbK z8d{;u(e^dwj+(bvLu)lin*=IzAuMmb`k{;6CT*WjE8E8am2^R*V2#xv{m_X_i8TVh z$_SXOhn5=@Vcy|7$o5NYJs=I4j0*lu)`b!l@xE&4^XWIG^0m zttvn&)`Cj_s`5J#z!9LGg2TBCrdt^o(uvg-h@ z#5O^@S$93v>slVRaAWnxMV;3cmHiB~{DQ$0{20IF_wSId}G#6`J(#;2aBq- z7%Z^{jq$djycl33vG`t7X(FfTel@KTdIO%k2={QeeyVt$YNt{%uA>ac7J%W64R}{9 z!f@Fh%m(fSm5(#zg$VUwfigsQcvt5aC)ds6M<$*&g;3*Msv!)VXts5EW4h3cHf{V0l;f@LLSsIX*2!CA>+1klRjFcR}v>D32MbB=Hax^$cwsFWiN+* zIez(QrFA8}<=B^C3I0#% z)XEp8<++pO-A}JJ3MirPr+o^%`YE6l4arz$B{$jck_6<&YWDyZm0%*qf;`5db91)~ zv!uGWOiGd1l#K;b_W_pe55YeH2@?!exIoN*<$pcLOM2|)yk+?ze}=0#-5Qn-vx(sS zXdt`E92eWn1%w8(-{&DhWm zz654vw2r{2W*gvM%(+FLlXa|q!ZL(PL_NqiGx^NP+-r>o04Kw9OZ>VCxEneYejh>s ztG1teWpd>%QCf5Yf+ zw9S49A_6?I3!fhgIGJJ~ZXR+qPZOajHg{R$0`#E~8c|-7`jF?lLS4&et-||elSt+zDfkQ){6c9W@dz(n7 z=4%q1qlu91cW!+L_{8SN04aR{kT+nh84){9ZB8knOe#srxT~zOIZ|i54|K35WI&B& zq9tJ)P*5%0gZOKGg!AVB3(w7A-G&8W6S|DrpTbe8Zf1F(^`A!g!?g{drvcyH9mx1S ziU(WmP+N%zhpOvpdm%0JS?Hc3HsfIgf8B{z_z-|z0gYsgydG{}2WYuwpnKiwI_^C$ zQi>0?@FLp9Sn5^nH(JG|v1_23!?^3I5+{-!g9dBH;q69P6kf$$XtP^R2e)xUOB)Wh z{LaE!aILNtC2KDm3qHVOfU)`Z>9n-@2A;VCtUG9z1IE?5N4P#271}pqqk)#9oeXaS z9jlnj8P~8(+`bC&PRdvvdTe`3`bCxSlQf1til$}ebVl2CYiikDUGS8Sr8;hn8f-2w zv!OSZh*%cZ*)Uiio@9&w@MlAtx0|QtKm&R+0+FUe9<&yswN! zs<8{lJv5`4Pb1tw#e8QSt1%Z#GXTO#H^_(kRggYG!Y&%Nh~~jEc9}P|&VeYehT?Y@ z+^Wv}FKFQMX)HoXuBD+YXa_Gzjn$&$SMT@v^XG4C{BilO8A%Jgzx~_4opB|lx4-@E zGtU<%t17+hN`*D+uG0_f=Se(JSZ`lGjP(5T&)*XuG&W*Oerb|E|MNe;IDA3h0+a83 z?|ai<|Mg$*+%G8jb3gZU>4kug9e5Hg9FOi%{lv^2pJ!qADKZ9V75h%E_K?n24A3Z zpE86TZa^#Ymi)6ld25U>jswaG9dL$$1)(-uC_D1Ku}FFF^74{Hc=Y)e%B5YD9#I5s zBD=Tn@X-bwbWfn6=Mnh%8j6z25hZ9-*R?;*G^r$~_n``(Typh#zHbmJhp|Z@wYY(B z5xN;2;(D})T&PSi3>ic|3k5z3MZYlNaD;Ja!=GOPfU6^?$UisJ3W{-E@}F7%WV+g* z4e;a7HB1PNmanAD)NAF=Z66lq8Mo$LgtBznNH#g-lRGJg1Ro<%9hjO=q!LG zfFpA4fctBhY0l%;b5upnao^<*NzXybzADN3t!$c0X>5TFo=Jy$|A2Ub)nNZwTBy9T zn6^vDk=q+PmaO)nK0J?1v_TKn=$kUFa-nm=e&vda`K+;r$VIfrk-2rw=JS`CKXpCN zg_x4epHCk>`xoi+kNhw0|2OsndRQ5r$;;mV`>LV9U6=k>O)vHv`rn=c zf^LyyOzs6JP4emXT&uv3QJ3m;sygSP_QYq-grrauN_b;)e;?>`uO<=&#yWYJ}PUbm?MPG6^&p7czVPTuK+t z1C$=an(`~E~af^*q+^m&fZh#Q0 zy#m|}>r*ufKL^Qqs|8%ricl**+c9Bs_u8C@0jPx-&t#zmIYO}0x^Il7R9My;M-X-- z2Yx0DjDQUqZg)(A?>^Ts&;oe@XorOxo(YmTwVcmB5xebs8Hj3#01FxwC6HC~(>;ITfr7Fl>)v%TEw^8}3oB$VDTl;K)g zdhF0)lCS7rF}{AQB;eZT^KJjEb2{ym0ZlFQz7sJWXqOCmj1v~$Jy6mDnA51IsZ;tsjVy>*PiECWKHR9DKz_kqPuM%Lg3cOknGNAw~n&Fy8 z&@CPz>Qta9G-#s{v;IK9Y#RUzK~wNCLol`fbBv?bf%e&Q@__6BsGL)?)k=)fXYX{i zD&(?+%baEA`ZjI4h6USpV=;YZ6|n^?vx<#X3lTwvLAHrekL~ptvmUiG9f#296hUzw zBi_=gbdXpYhqh_}HweTC#*2VD3jl+<&2$r?gJyI`*FAjqe0OtKxT8U!Rd^g4r%uql zNPtsiKs>=N91~Gz1CWu}jC|&{25FTBwkT&4x1(j|#bKV+t4#!9V)12wpJn1*G>5tx z1iaU^s1}0?-Q#Wg!iLpEz|#Hcq1HSWgJ>HM7t-O4*M|jPvk!=d#oY*Zn?2~==G~}9 zv|v^|zF5fh(aeQ=;JIB$TXRq2t_YfVxvg!97I(3=UMepvL2GaUWnPWx#Z$k)Xx~Gz1+zT z@a)g0Ib85GhxVUmpL-6Lo=zL1%Y8vx(77w=YLKDXuDH|cji}o#aHY; zear7BpM3I`-~Kp#`t)t*9^?t*`w7N<@{^y8V*lem{v*BREpNGN76194|G9I01w}yJ zt-jDC0ICboX>jmMzw}Gfd*1UNSlpZ!-)q?){_uy>``-6H^yip-qz`@QL-zzb&G+oH z&-xYVVZEa4r+o_SQ(&J0d!+z;NWvqAa+B{}m8M@z%8WgzEQNK_7^UVr?m@hmO73v4 ze5=5L{B;p~?haXB)M@u(BD@Fv3=cl{xd-6=)km?gJcp}5!UXgI1}pG##^FY@iM9zi z2ol1lIX=_!>z!I|K4n0^-4}A-%ws>4mhX`jzdgmd-Jhat@8R8+Gh#Wf7V^L4kU~<( z4~shhlK{PtXAJ?+MJCn*iJ$4@w5Y;pIX2U>+;koqJm~{`pf|{v-I6#r0a-K@$oKY; z7wo(H4wEF{x&qy5$lh&$)*&C|IFl|(S@8h<>?1F2 zyGM}$?jb|9@n3onk0`6%O=5>rU*#I|jG-MYOT{^?7NYeD0&YB!NP`;sjZhzoi#>wP+jxQjYZEfr4up_ojWW z*KqSWte}8Ej&9{4lsGRz5%~H3MU*`0U-r7x7=IeiJg*CIGAfz+Q-Fi{yvk)@S{muV z;8SU}^G~z~m#>58D0P%JOQ(=sR@lRFlugKygR_j)4cfHMxCnOgoCE+URA&TAB_aFZ zSos|KJVv+qTh!*aqg5ow&Uu=TZ+^`)&^Ye7d7r=YU-{qszM?Ga;=DAr=;CygYkp=2 zU((F`N+H{_&kOAYbhB&|AOByfPCBlNkeRMCdnYvrMeC9hai6RkSbGD%<5c<{~)_tSZRa z7U|@-?dI7tTO`-9=^pyqd}NT03PmAAS3A=UG7cCbT|@5Vc7;r&)uJ0TQ<7mjUUFS4Rv$1P<&f5j7MV znC7(44U34w;c(s~ksTm}dC1u64spmFtRP(u0Xd|DRH!)zsGn7v^ z3hGrEmy_E(d)*dsD28dR+Dg58mYz6-D^UtjYto6Nkg+=;y#l;~%qYr4WTL#No4nS% zh}*|go4BqS6I&2rc?l3q>p^4LZP$hft0M$JD2-OBsSqfkILACcoF5~w8gFHkO>IaC z7BZFwyjNqk1xU0#*&MMy3uwhIuz_+EVDMloOV^3{(d=T)323(2d_Jws0h&X3AJ|yi zv{W;ui@>HrHv~P>I)K$68$1ZzEA7MS@YchCf{fPiAmVNl*Q)@IfPPvy27pETb%k2S zm8PIu9oL;z+?sal7t=!Pb*a^S2FqFnO-CERobNu*cpt4%W0GhA*g&wK=d;*uq=(uy zbPL#I0Cf~d-KzJ~bBnkRf?oEV(Pq+6l;Gg@V~jm6dD^ECqL(=h*h;;FGV7M@;!`GG zUj@x!-47XWuso!1Y)nY&AwZy3gV=2{Zp;nj zTBu8H{{<%7=@@5ms{{~RO&73SJ;VmZbL=G?LlB2oppabrExx0wTmD$CV5PM3T@r0& z^PmJT7i(qo%x1VL!91od=oqu#MVU7Osjv27~=!jF99Bk8-o>$~n+&)@(3-|t-i!Y};7o#PjB z@Y}!r+iBV*>pS21&h%qH_G2vFK7aR@-t?w7?SO;c`LU0EEPcZ_e8XJ}dE$vD(sbOx zH^2GKcg??lai0SF6xgT0GzCH~mxsg?h$(23~2)@osMYs;-Lw!~%FBWo; zjEnm`?xXoFOXam7y1zLQ^x!-0;ez*g?6u<9?;?4=_{d)=Q+Zw9EN@+rbMkE+w2M6P z&Ol zx1yos$SoGxN4~OaN@zo_D=!UH{3VT4_C&gKCiVL3SRtzDL%Vx;FWJ)ij<|y;f}-cg zG21VAPf<@#CCMrvo?bYVciPB6LqN6`-{$i^X`$?eabeWk1tc^Hz$rV2%w^3g^HHbX zR&+%P`%PPsU*Ll)dRZZhG2L~h(ML||0T4C_Oy8$3>ow}8!aj8`0AluuXJ~sbqL@EI zF33Xu64*12d^h@WZ7xfPiPyc_reV~1a-)?l0~QLDDTD&~(l#m$iYZArF3Js#Zydp^ z+ZRVzgAY8GI4_YIdRQQ8Jy^l2Poj_9OrZ^90IdPmee>HWf_5KC$GccdVp-S+KpfJB z>+`E=y_u!8d1OT7N}ntDC6q(0wZa_BsmE4M|C4~B|Aa;28VZc(pi3>SR~{jkpso3x z0*^kk1_5z130R)(*+|r5=_FCYFJK5RyXn)i?UXNFuDOe0Yr}1amjWG*B8WO%Z~7( z{Or>yd;E11qTe5JY>!}VjMsf?+s&-WJ_CrE#%L<4wfJ(Si1%k@3J1Ezg>l(o+F!0l zOzIK*72I|XjG%*Uit*e_JA6J&g7Y#dlV>TcWh_$;da^km`2_p~4-o*O&U^No`NKgD>Yj!i8u??5z@(NFXZFt{fDFCf>uxczoe%lp=$1b}hjQX2_?EtBkM& z6m&GdKrEL-kP3lkvZfWyaWhdNOM1F)A=KtU-^nnkugL1RZ3zI^`&=KjX!ZEEbdzBv z<84>(bV4S4gLWw3<<@Ex&s?Y=8ym97C3U|})MT>LxDy-c0-n|gS$_mt^hz$`(cm5OBbdECg5IDO6u-u{F zhc8}8&oXyTplq_DtD!a<1OtQ{=77WPA4l4DJB)ixf`iT%oQona5@jsOfEMPX(@zH5sJsR*1K#K1eZOkB;$^i%K*Hzsk{?X0L( z7>m$41tINwiOraY*Be;g0kEK{dazwb*a8egfYUm0OR3fSqUX2v*cM9{1;Y%XQ@1pN zV2Rit(`hV7h~{h*5yE8Nwmy8r4dM^pVCkPjSYO$`4()M!%d@&(yFrY|N&tTs7p?;; zD%v4>X;lfx1*4G`@yByw%Xl0W0M0t#;1V%L9s*%f|I5t2C zA5>730Yt0!4rA4ac53}nnroj%n8hquBanJpRpB<~gH@7& zkKY+qgcWGU6pXl&724Z!on&plvle<3h%N?eDVs1|6gqZ5!s-pc)`O|H4ftvIn6m6c zu$JXyAe12hBIj3gE5n78d0DU4zq4Fb3My$y_XS_@1v}l+P3Q0Z-tX=Fo<8`NZ~2z# zpSK+glugI=D>6L#=%dBqOZNTMU;WkTH-6(cqI`kEfB1)gNMHWtUp})w`~8=H`IkG_ zzV%zbb?5kg51x7Ene_X=|NA?)edSkvW%}_S|M98$ymM(!2LidLPoGYfYqIROzy0m7 zbh8m^-_yVNi@(U@>mrlV>t6S|Bv`ti_9?JWfqe?>nF1k;kz1Jt+3tZP<*q`$RAKWa zNCE|)WWVMjK%|Os8(7=v@g$cA1m=)O@I3JxGV3vv`re4*^xfi`-A@z4n-em?5Czoh z&z((|*(Vtw2dPMy$4ARcQx~)jP;-fGtvdXx?I_}?%ev1WM;Y)M(d~{LfvH7F?ZySh z0C}_uaEOch@dj(VppCM#bcDy+0sE}NwO=bk<;Nn)YPrW1pdmk?O(f5m{2dBf9Lx7b z;+#C0_jt~{e*1xrvlI8k*z&EcOTIGlkaX8lPg)4C$OuL;@PZXk!dbGxE#p zQ&!Q!n|UbH>-0N3kGWT28}B6RleNx3Xo=TFer>|^8POw~D4YqZsl3@ljz(n>*ZC-* zmxx(jsU!ao%Nkjv!gw5M1APe&w&1myS5mwV;D!Se_{p5tACv_IjcI5fs1vd@@iau$ zoSXCj@DNc28B&6q;DG^kY7xZ-PnyoFSxyZ=nN zf`iW?-_E7A@@d*4UGr4M^U2civuy9IF@`9VBK6rDlX>#C#{+@#{FT!w&*>fJ^ql2*T$E?t{5ZcO&zHB>_HjfOT)KSq@6zAkcJxzM|4(|`>35|sIP%uCTt7ew`{|WTfd}+9ekFHt zzit05C=f3+ddiDCf;Qi+(`S@a?{zOWQbv6M=%=hhmG0HR%1&|p5Z6{3s7w-m>w;~ zGA-$3LO#dIHtAYYdW^An9P1Vo7ogK1p&EcC&W&^rDu9F)p}z97GJu*c8MHd8I_Iz6hecH-vVG^WqFyH0?==K;llmL{BsN(GdA^tkt@dG#n2Ll zG`B3}MOg?qFQ&Y`+^fLDCt~Nx0x&mqlN;_m@1kA5m!e;29>=}J*s+Bl@$>|~1$lR# zmAe$2Yj*N{=^CQR+}2&G@%7v(Rp{8Q_35|?rui(&oHLg)V_X)`<*d4bX}4VHWPCE` zfgiLzGq3T<(0B_)0iQ{CYh^-bCELVYGB|tycDsP_03BtH5Eu+>9__zd+lo3|W0r`I zcFp@(59nuUp0;9n5<-XVwLDX_kM_FW`B5;E9$pGT2=GHqM%S|<6_$~%OVW0CvK-sV zx}*hGXuMHp?p}rGaC+UD&@Nvu0S5g&%X-i{@@8>hTc+CMwL7M9+GMN*OIQ6&$71Ha7#G`t*pv8)q!qJrfhfOU2wom*&Q8HYQZsn`xVK$sIE zT-?xtS;;zww09mCs;Ae9jfmi}iWS@f?l=bs{8#31TZ+}7U2@LZ7S|)5qREN;*0GkeW7I57P&H5*>Kty}BcLJ?vz^(dO8t?jZ z_cSU4hBwY5*d9a3J(}8B=`CzOO01IqqAwCbQIEdHT9F?&81|z8lzI?turZ<4V3!|t z+9Al=s<|1!@=E)z5Wi9@z{YTuSSU+u1T5mZ385DEp(R~|LLu|&8nujevlfD7z`-%# z;h=&xyRNGEH`IkJ7LPnRj19lBIuxAKde2xW3>8I928?gdS+KDbBPJmmTXcxu2={0$ zo8ms0B{g(g*@-llt^yQZ;=&Rjn`71`-p7&1oBy#T{+q0yoDASFCM;!JC-r625sCUU z=7QTu?&#Q#46W>pO%O{M_R%`Vy;6w{pBD5L{Hx`YKfiy*-!g5jv#HVn^)ohMoqPI# zgw_5kiVal5-z+rK)(L#zdrrx zpZ;lNwJksMGe48Q=!?GSmRp~G`swt8Klp>N5cxB%_28W>?mqB=52XM4um9S)|EGTH zr*@8u1HrkXENT2b-}61`x-qx*m~=t98~ppu@BGeiS!xkldH(Fr{%rcuAN|qW@@=6U zXN<#7eBu*3wSE8he?M!lE5m-;r@%f1_9?JO3QU%aUayp=Q6D^C3Pp-n8>)~N|JY|Iq_6hz6O4GX)4R;m2=b!8Bk34(% z3bEe+WH#2)#Ra@d2=44k+W5?||D;EiF7EShAfKu{sgj>!<=kOdAmR=VFT!K7p`SI8 zA(!BbyL`^V11S?IBPs_Xn+4CtJ2~HvV!UMJ{4E1MEwd|X6#R3%7s#m0?PeEc#>YYT z6NONg<(St`acnWWllNPn_ePoIXP+#N$*bk$O-a}CxxS}FUdy&_)3ofHpV?_@?D@gV z#eUST zXd`))7bF$+)+pPULHDZ_Vgl;6bZ#4K#f?S1nBrCC zA>^ln^!E^Xpo?^3Y&s}wuQ%K2`U3QCZ>A&jt@I4-=~Yh9VxA4^sg15j%t0*_n}c%z zkAj1bQh(l7saYG}NXvt#0Djj22QhX)r8G~>9rD@!=-1@eWDue+#c_;L+%!Fx=`C_g zy?+RRn0;9kW>vye&Qj5I0KjUwdD;FglC)IDDax9@W}eC1FS7G3UGwC(AMf=n-zfSb z2r(zvKiArn9!2?phT*c9J)0gLa)!fBdKUMxt^Qhi>c&&)k>%H=w;XwMT5YhOyq{i? z6qrcGugJFTH)@{(d#Atz$P23;H}db6cGvZC$RtoK*SBHzNyDouceVdUuayh;RYCJd_i3;%Gi~3xv2Y3X*fw?dC2e4<;wvU z3Z9hN47o2l$ncTE?I|4b&C(~8ypS))ofJZd1N9OmLA3FeE0}t$O@P6?A}viluZ8A_ zJS8;ccPtBEqPEMg{nI{z}{2Ya7iPGuLaxGoVlf)mhFHS0*TKhu528!OiMYRN11!pfsmGri8kvI^M2O? zfqp?b@0rYjo%+w3UXr@dj-Fpq|j*l?ev}6V_S=P9C^uK6jIz{Ih)W)nh6X;%K$>P zrkS-a-7+S3e@1+cx~#KX%!>~7=UTA2TTeB0`_yHZ<~Yu1M~TlcEKg~s>n(M;W-rYz zrmN6Pq5TwQIf8_5bY0mY#{C@>t(G*mZGOhZyyTk<^u5a$fHi2n$+#K!N;_@XmC-mG zA3tK3PGem_JY`;{%UY~<;q$OdV@)lXQmW*LN$f4r# z4xL;(C?l_fJS=^2nJjKBIKOmXBv@EOQ+mt>$bk5q#^!9ZVS=aHRH^eFm2mHjROXqf zSI~|gY{iG4XuIPf0e7=5vjgT29=#$qA$xV9`5nIj3z4f6nE$If>8f%!K=_A$_=o7! z^wZaU-Pa{!5B}C~{npGrYK=Dw=+mm$G6cppR7~2HzUFJbX4jdQ?&tS@@AsyE{KtQc z_=(2w6I6T0JKmAr_O`c$h5N@p{_$`Hy2)B?(p~Bg|L_mru|a}^AO7%%?|A*M{_3yN zzx~_4?OeYCFDSToKk56v@B7kse8+d(a*Jc}@BjYq=}-RTPvX3>4QEgwUJNLf(-S3XR?wr^^*r&ig1@9L{T|kb zo;SY$W9+AqMWKqeg-j|FG?9toyC{Qfwx%4CaxyY+MgFI=mH-dSkF`SP4B>R*)1JzRMjM_m{A^2v-8!=N&oaSP$U>59Eq z-W(c_?b@LiCj&VIZO>fo|3W z1yLBR0b+KEkEr}~uv1H$wN5%foRA&>q3y9AEd!OCLw08Tb&Gnf*-9q{b0~l!yU@f# z#F)R<)Kgc{UVFz3rrZH?s{4VcImT7x8f9BURyZaCcop1uI$u;MEOTtIgGTqEw6d`j zR+mSvzX`?DqX2tY0R!49S12p8NtBjaSlezLNJrN<)A{AASW2!VOWjDs&dcL;M34#lTrojT;FV){c)^RMz!7kvTl!qBK(C& zJE=IfWbQ`hT5J)wzH`c7k*kE9rQD>PvY6h4+_sT6=bu29MS*gstfFO>=f~eUtsL(n z6<6{+Mc%y4c^>oHR_7fu5@Q)aub`mic#GFjJl0!}`9_0vyrz6Ao$p;so9(kW&HCTz znH!%-Cl*hqFFElgX}Q5(;C^~VQ6S$Hc||p8zcKq1xPJS*98e&9fNtYL7elY z%vYr1w@e1iUAQL|lmz4`J^uOtfksb1nMQ1Q$Up=D2k=&Y!yD5G;IMT1%%q^t;TQeM z9(^p0pL#Ntj-SXuDgdmEn1Tic*Q!kB+;@c5hG79{z;Kx5aE$@|BG2)YxiuD=-nu2d zlOwwEpl$cr_L(m}yYkKY88QbKTsF#8Xu&7V zA*2zPaNIENC-bea{&S6E&Sm)ZAG@238Oj(f#4#}dN_nGc~%M< zP4Ymjpo8n6$>+y4PY_r_YU!(zgx5Xi8aZ8G+{7QtH2GB&9Vc%6(?ihGt)*JF3bV%j z6CiZ-6=r2P6<>69sYs!4T6av$0pTjFxqa3U!OA}C!!gG89BsOaAgcx4HP)R&Gsf%I zR?PlYu==(os+`KEws2SvI&XGgoXWTRu;jW9ZEEym5&F#w@Y9dN-Dn6s_Jwy#m$8lj z_7ox=q=(7sa%;bFdXm0hI?+sT2T-1a7M<)s>ea5KBmFB_nX%^bY_$;J1TzGM@-#gt zvi1OIz$^)um}La6GIOZTTxtUfWMPQ`3cy!gqxct@&77V@(B#;;`K6s z-FgETugsaJ57g5}4Q)-vcY$(8xLdq6<$_S0E1Gp{2A=JN)u6yyDJ@_@c(5hV*H7oM zNbLC>B2-Q%U0OD~hjDA8uz@x=8l)L+WinjW)caVvD|qv%pwY;rhQV37EM_Ou&tLCoOF~n#u^m3VL1Kgyz88R7HC@R1kEW1qLevlr#9fU4Ndw z2%fn~ps-#|hqeLo0121S?lmUhM$@NAx+#Pc?F84aZ3O=XfWojQ#M-R{kT@96Gp4vE z1t6?TL-R*WK`i?E3((QHi3K=lOu~F_N_Ug<6=p7kSwX`$*F8P_2DrjAg5tw^u z@%KgjpnaKLpfPh%8G67T+)!O99uomU;}4p8oJTL_Rh_==+rBMnA-Fqz=tCb$e(sij z}a{$~1#pZJN0g(&c; zMPXr8I9+Lt_mh@+kDzGxLeob-`q3A9>pkz&%CW_J>2Ln#Zz8X*TYvr6e|_eCy7xBb z;mZle&TPp3$$bj!Q{dG}0X;ggUb_b}Zr$Kr%L`SW>_wzd9z_A!6w2T)qO9GwegYZN zIOk8XFCC^f`t#W7otngr`i87|LbwJ_({OIx2PEV0+ZH?p8~YF4$szu zKT;|3D184apDv)^PJ(TLlTY)s;~?It){r5MQ`p1(;xWA7*rwMn;sruEO&MMpiucwS z`CWN8yh15wB8QAsrqxRkVCNWFFLa^Y1Az|XHZtHO7GHP(lHamS6=fYulivz0!DvnW zHlH7p-@%Jdew*3+@v)rAZ}TaW7V|_|KIG5hJ_~z+N%=k6fy6mWrnL{s(@f83wrx-j zjvsfa(Qxjq-Jda<-RLvv4^r_ z*Eo9c^YHL~aQ2A4-3t}SIMH@nC zHJ3{bPmrnDs_a3T)yS7CMyjlMXyY_t6YA;Y<*$Km(h7*Ne;66o^@6@|r*hp8*|%5S zOpRV6J$~s6(}n)W(gKRI32!PJjrFuV{&((YkAZmTBl@^md5pd>7L;NtqjbAG{1p8b z9Av+WGL^e>P%xKbZi0i3m=iruJ2DPGi+&eZ>fIx0dGmjSY}Du-2~Q-3cPOOkF)~`e zx`qYhCFDZFku=Vw^@aZoy5|&}RC3Fg6wPOdr>!$j9{KV4^JDM)?YAE%v17wGG;j>_ zXMs6pcaU}TP$Wf_cOuq&|594VDCddp)pVfwNLpJsoj!BvZ_=6NH>9^7dmHDDr1?5V zGrMGaO50B_GX+@L_R~HEUIP@6Nsws}G*C-d@Gby{*?kL8La=}r?)W-P5i!65JaY4$ zjpYo+DdU`=Kv)FAlqIZEf-@pd7j?y7-l(Q6T&E$aXF>sV7Q39%QzLqWLl?P;AO*RdbWZ8t@{B883&m? z+pN~POz=$Ruc&M<-^`H!haJZk2tM4g8s^&Q>8FBL(lo}Oc9()tXMSioC6fw6KPoKt zoL9KI8lHbXl>iBy-!Esgs_v15N4bU?wmreh%pHelBr1;fGuT3f=&uOt_Nt{1zn(^iQKBnT-G;j)U0*t>ql-Xo#hs=QiYs--Jam2GIQ?mk1t}@0Q*59kRu6>~Zp`fJ6rCe>?=~TED z6ucDNoF2OAe8q8{IWAzg%Cli=KvOLUhs>2w?xcLn5a^ti&7{UT@?ELc(-j1J*BxCP z4fyn22e`S%-2cp>RjkTVI&*Og4dTn`B6K+jeGlN)@IV`5C3p?K0Z=3QxcozDj4V6ll%q?kH3&Kv>gu`5fL=g>SQ z*!_{#GMcbUxYik9;aSIhPAgrWzY!LDRa}q?U{!}p2*kz}6o7qU$#{UHQYQq#eq|lO z9=caiprLJAQ69nCQrAWYx(L5KJnIeH=`7Wv_S=X2c`={Iu^xE@&AsAW&RvXpPQZ{E$N&}_ z1>y2Da@jrwPOiD(L>gg{XioEnrZ4vwsf{IJ11r_$_&Ttcy9^_geV@Z2Esvk}r^ccn>SnV=b) zJ0;>dGQj4#B~{ra8X`ms5|)^sqm0di`ZBmYBgQT41*L^kj1I$P97115Jie)U_?BW` zbw9rNi@!Lm)&AfQ{@}ja{*B-GjY;dn=_Dw4Cu_qZ-?xAJx2LzfE` z`_r%e+OH)o{0eKqqH=kRul?GuP2c_9-<@W~Wi0aT<=a?>FI5usd+&SS8y1Sc`m4X1 zbm6)?X#x4hH@-1xh4}d6kMF*`|9hVT`xMxxz}_ezbFES_GQ5;g)%L? zaY;o|L7oRFpRXft=$*v4gDNsUPFRCk;NWz}z5eL@TzZnY=-wwFw>}4dISYWAzH!&F z;>X&RVfsJMp}4nRPB+>ETo*o^PHZ6acTw@Xyp?*m866vVa94t(Ne8K~39T<7gV={M z9#)~KJ)V$5Iq!Z2W0VVc51et7QLeSab6nU7?XGu?phA=!NOd4~XmKzqN4(q%kuAf&-3VnN8CTFGiLxXpDf+hD8#43*WEwjW1+nNO!K zy$d}`nc=W>8;Y#>l@MLo&T|W3xly}!t zXYM?tLctl2C5_=lXkt8eTQdsF!73o3ZcTG=P+7|n%6lRmO}5Xz`!DaG_uov@znUn6 zE^WLu0Ok4CW7Lh(C+%)Eo<}}n-x^s-uuvJTMx6Ri{X!IE-1_TF{}kiuqhn1u^(|c~ z$2Q%ZBXQGhfAW6ir=3?t4?L5POPoW_3fb5RFD;nff6dUR6+7sywt8Yw)=b>kHnHZ2q)6(3@q}*gH_tVQufxWG4FK?UnYkLJz;0J!- z2a=yxL&{_--OMKi5T$#ByQGZ3%;V>ukNAEO7ti<|ENEKC2pEQy8;p`nk{e;M`7bjf zm?1;L3p_x-ojOLD2;g&iNuIvtb8<`{OJ^R28BfjW2sxshy&?!J9++t!RIjx#zjEb zXU#d}nt-5|=4FB>42R#&Q?(&+#puR)Xa#z^%TcWb4k79k!3#Ea= z>hHGvdpR-HKI#s4o&t5jjPYeVwB!>|ssfn0_Gozs=%6K7Sohfu=0dbhA>vNSJVl#b zpRB`m%h+|IS1Km}IA!!FBaVhHU9@-`Z6KTg*v6OzI7@v+g03+R!3|D`Q(WVFn;r2! zW4uK@9XNwwnMQ3cuvb1p?a3+!CZ# zNU)!wu}tMro@JUi?>$A*wasIIgH6Wp=ytA+dKGkX1NXZngw^6%%jY$qN=sLp1er(J zYjkq}YY14`K?AftI1C85jpi#Zd~gXgVpBs=TfW`qCJT<;T8ZS4^!$J z@PfP4>Lf#0-}M0XoI9qwJe_%lU4M)GePa6xfD%ZCvWcrvy%ITBF>A~%2YGHG?^=Tm zI1fyKRJlOt29E-rbGV$=0ADM;73fYD%-RODUALt98`riI7npt;f6$Es<6OjA!Tov4 z%P)Qv=ZufaqRJRkpK}3vP|(hp=N5Z;ZipIr6n69Tv`y1hH!B4Dq?F%LiGT8fhy

    $Ixloxg_HXvM-rlRs;`(`HQ{|K^$hoU1>fQ?+EbcR(Zb-fFD1Ee?`vC~qJ5O6@ zQ~LDvPACjrUmN0;1GoG21w=qx_ra@Fpfe5OpKEEpa~;LDVexi(f_G|w%-r;HSglI4c7 ztUMQalQ7Xesi%CgmSv9M({Zs{#`C;iXj;?ITM$o&gTxM^*Af>C~aTqifMJ{QNvJM2GQT z>0qx1*mF$*Lq49A!+S+Jwi!!T6d8{aCvYC?J>|yBbGiTxs&n0*1P9MCVQS(Gf9SET z^_p=G^LF`-%;7JTGV7g()6uJ6hn%+v3y-V>J=*oF$cIGDu5o)5@ zJ&7!Q91ygYw$RO8+J0l&SolPgnddC-%IAxqo-~whcTQf*Tb0kK>6~86%ZeO4_hZ27 zya(iF9GS)ZWbQIijOw9l(lH*2ZmfMgt(WK1JQlN;ZhR~q1QBxYr!F$WeJAcT$EucFhTs^R4Pp5-mH%^ns0CP9 z_{k^={%F}%Fk8|=&<8q}I2QB@#_)a{Eq%FPCe#hapr>W;F$u6aH{4tobk$08vcs5{ zK)KR(tR<9VWqoYG2QVo(GL^zo(ifaob7e+EF-4Qq)Q2jSM0d8XTzmo3qd%=Y36HxXA;&@w4bXRta1zfZ3}XO@ zG%zeY6;jZUQ;Re#@QCpMu5st&b0iJacBJmH{Z()f;A4&iT?G9kfdH}3oWhUKWSfm` zpU)yujuFB$z#d(NW(pm;QxVjGkq^MovA#w4DQ@Y{pZcJ$=HNUd#?u&XkE6^_;Tg=fzlfqaWpmh4J~6Wa*guioK`@?Vk#6D@*47% zS)tFAN!qC#p(2BHYGR2hs7hV&EQHcUv@Q*>sB9A#K>$neeFPxf7w~0Gtk4MKY|K%H zvufz+zN z9Pf?>^M4+&aGN!y%Y5x3WNf=GI`4uu%v*q7U5@IuvjTmVxThwasPh_t;X3b_VOxvZKv)1MoTCke8&loA_$krO5$BB) zpk`wkA*u#(k^itp?Bd3zmM$$}{pWN-KIpN2PdBA!{J+h=TYdJW0Y^wsGnIRw|Y*sD6`6I0?!O;M- zZygVCu-;vUP6rSqnHN^dR#}N(FO@y^>Ami z-P}y`t<}`T3b2o$Jm11{aSj0zt=;mF^)-Y~+W;9u3c0pExvOi3h!jlNb#^u(xem1PX2nUfwGydK&w$mJUMqiG?ILX$jb% zEem}#X#rH%aU(i(ozRMILN_UxKVo@H^BBEsM4`!C!YXb7Ah|JsHq6B`z-VuLFz9F* z0>~B%IHlP3xu8ai6o!KHDC@^D^`GD1OEt zuJ|0rTE$l=h5`0X?ywmpz(7IfSl)duRL0=>b8|o!Mx_pIpI91>iQOnbm;tC4F$yiK zfiT>`_fcG9zVn^$4B+f; z&Hu75`?BN0EQ(0AIdbo%t^h)Za^yw7zKM0+g&X<7@u`OR;R z&*z$^`}OZrV4ni7JqncAe;Kk56P`&>tQac;a_)Xp$mZ^yp!^*mk0Cc6U^1ql@dTAe z4k>@$M>+(cs8o+q}C;rDbK4TK1>_uh|`YfT84i;*u-@oUNzdKQ>nU! zJH)UWx7)#b%Z%JMFTNI_DTp7`v86}I1 zpau9fIqx^^ixl!IjF>XJ=aqF|bfQjWMNtbItg`#8ByGqVvYJd;(WY5>?{rQjU%;-) zBH+gYAmKx|ZgPwn=NM#U#4+Bo#_pvtW-4IU?X#)0gxrOT+s-xGE#KLK^lQvZK`!Js zI=?THJmN;Otn)iC)=kUIv(w4LsiIATIglSk!cy(PB~zd4sM>I4y^W?Pp5X{*|d7&ZH(prMW(;Z-V%A} zM+LX0s@>*u*&TzNqB%|SR`GQ3&;I5u^w)GMeih#bw%&y7(Lj0iG1}aU_=1Ip7V{Kk z$2T%jt8td`=%!}-5%wKa2-JKRQpt#HS6~~k3EZS4lUVP^?^6vbM_n7?l zKF|7@loeyZ82Qk|6=o##alQ;OrPX3JBhF^ChAY&;cG~I?K8Bc^z1~{7zV&ok#dXSD zZIN>XjwnCP9?o1^oucY3*|4Xt+9zjsD`r&&~RJFUf=o zXq|c}mC%SA30eS9jM3uF(BOR~ricRxy?r&@mS7;`)h|e49LE=uq_6ZhIR^KU!U7M5 zUhr%L__kx+#@Gp}jpe#c))9=N<1Ev|%NqtXEIJvN@X;>_Ef4~5ls!NJWOM;30PtXh zHKtZ3uk{v%mK(6Og5~#d> z16m{O2@(pP!0-kbsH+ly4Xp=v5`skr$Pt!-K3+28K3h}3&raUrzC&KEGdbRp% z3xi(oTSIi)(^|)2l&YT~^us zeA8a@$yArQSNK4WHqSCH^VHSk*%Sw!PL^S;5R>kJUP!V%b397|jBCVrw4A0iC3$V0 zamWD1JnnOC2pF>rSh|dGE%>Gz(K!V00OEKydd&AN`hS(Vzlmk=wLQcli81C~Rsw9C z!(w(0KzxBYaS?zPRhaZRGHXnwon!A^6Y|pV3CJaCXehE)3C>T zZEFl5myRQFT_hF*ZeTLpn~boE9AdSX@qF{I7}FSO#!L`c0NHpAIVkFrs$iS11&r*2I{<(xjS%($h!jRE%y&URL86sTH8g0iAHV{Sjgn;myBqaUdT8ww?858O0$mND zP;p(WHvT{akF6ieKY=&e)T>;>Vr}wnik26DymKmfNpFSsO7udoeO}lj*Fib z0=62z<`8vK@#Ln!%I~0PUcY6Mi}8kbTEwXpYa0a%(PHk8QHmi)tPui!0pv+(&d_!( z?(q4`Jm6Ts61T3*fassGAAJ{vH6R-iZbq0VTzGPy8xI156cBZA;KYdf{l1y(H?8D; zQvit*;L!7(bOgnO3s~n}p{_AHCRbRij!cSh9f_GpUEUmjqMVz5q{XC9aNys1LYj}6SWu|*58SjW&C$VF>-%D9RLg$l0r zl~Y#oJiF^yL8jGmPz6oBp2)u#uRR&wM&)?q<&j}RCi`dMc2wo}S&92|SETSn@WJ6h z$9K2%5p{}~bu(^MK9>FR5463joWFBB`Ji9O*S0r!guByl=hnL n}HV9rIm?=ZI3 z9f`bFd!KW_e(L2Y>Tq8HK=#(eb?82p)&hy{e@I^q38wfVJ=>JERI4Ax8$|<|gQmbF z4wd^umggS#4M=6cLS?WaGSQH0f`&=}(%pX}&X=$XEGzqS`qnu0mSA4XQiecMW6lat z%MPn(IaC>rq?Mc&W6BrIY|hwrJ<6bXsa(YwV-qeT8*LDa{pfZB&`)`X_GB`*D3@|? zOmhCNwUse#ia)8jbm?uy4GWwuwLrdtA7JH^##__x#t>Y@hO<&r61Imqa zOiN_f#-#~3m{Y^M>d1?^qNM;KA&HP<`gor)3`MhZG^Qy9vLAx$P-N-F?Kfe?_gP{B zegXaXXXHe~JM3)WSR_fR-JCbJIj3n+uh-3W=M*kOkr|u4ljOzE&)kzCH%;F$>;6vd zGW}gZb~}kn)T?O$7pv)frim?Lj*PU-wtk*DZMKDY8~jtgTJ;I;Cf zJwTb%5krO>BkYV3dTIzfeLPlmc@_tH=3(w!X7M{f`*UwixP3*D;YRB$>u7ZX2nw2G zNeIB$#?1Og`5f~;11LP4mgi0ZBp%y&4vH4;fA5_FKE?ZKp8~H93h<)IRsjKEdXll( z1SSM4?v;4Sm%I-UW3-A}&$DL%1$klV58rr(yrjd`f&hfpL~c6!;x+{sksrp}L#D+K z3|B0Q0dBCQdX5*hAYWMA9iv@Z+Tp6fwA)H7!!<_4X0tE2CQ5)>BQ{e?ls5+a%>IA& z-lR)%EIrc$VDsQ}j2V%07K+O_Tr(T1MXJOb;6t~D#S5@pWjyGhW zR$S@ev>bc3XXN_|k19y8AEYp!!t0N`nBhHo3lE%i^6YgdQKk@I#bd&XqC^&Fga{-z zKtVmBv@?I-=1Kdys=x2{028-vMTo$yXv ztMZzGFfA0 z%8DaO8F?<0@C?g5FN=))1$3IZOJ4xZr6(kx1*6D6?n`QUp3J^eO{_`_Sddf9bqP^I zz%ClsxZSZ$9)#1+AQ{h?tDF(45y0$u3DwbFkQAF^+uYNHR*#=TGP z!3K4icW~}lyhD-bT|mGN*#8t6*QsNd`_@Op0Uk$_WYk|K`;${FO3%peKpuqF6BZy2 zps-p=e}ESpB-f~mB`TJoGYGPoIZE0*>(ad-J~NVqXM|ii7!k^pu{_+Gkt5|H#L~0m z(f&6Ws5Y>ol;~j&@z)Wf*Yu4uK$zt`*Cx!jPKu>yfj2MLReQ|--K}f>qSecF*NS8XxQl4MZN#e9Sz6n^R9eCl* z0c}AJMk|>|SbqlC1IRfG7UoG=FOWmC#yMVaO*{#^97{OTNgs0XkbMaWiuYiHdZ+Bu zns_`Gtb`I>0D_kQ+MG$1LJ&q68G!e7a%D&o?m!IbO(($B%J!tWO!mkDc;oEDWXScK zK`>2oazs$K;e_LIEdzQCYNFvuo0MGJQuEf}<{N{0`l;b;c-Jg&L z1K{4rLvjX@H6$O1kj(4Hmt#>#&c&BFic_ThVqtJ3a*P!e9W8=AxVQAPA>e0PFD?)p1;TSFkE%84D@? zvR?Qezd6QyWE>qUPZpaAA6m3%AKM%B$9s%rwPWsS+-qAH_6+wDBK>lmaz9ag+;c4prtZ&yAha(#=wJWxFaMJK z^FRM{@|)lMCi(KqFL^X~lfVD_zbCacdc!-ETeofnL3roRo#Y?>;U6MT;XnP;KfS|| zn_V^%*hpX_fsF+I+$3N$nN+VeN{Zf`9}=xWyiSymHxe;CkTv)%B(^Y`%P`s%^BRHa zhb$E~(ZEpyx9?LtPGZm!^^}Uvl~n;JlEJsAUZ~Wgr@%gRh%w~gbh=3Po8`Ju97t0} z7@Ic;fj`OilkVY@qy~qPrUE|)JT!-l^$QtRGa80ajx-G&|zbLwmGyR5b9%$!x)tBrh$+!l(e)g zJTXU3!Js`1Z8ao3#f$P_yq7$|0Mt|sIbM+BKwD+S6FdkPV1xdwNkka(qoZ@5lb`Sf z{&7#|1Feld83m`rQvPCp?6)l!yEbQr3hjfxS!V*DO$hB@p36Fr0EUejIqHq@qLJsE z2rf(Ta;e=*WKM$=R5ls=9&P^@F#a!ieU=Q;|DNm({x*5G|G!hWXH<%1kt%z+_}hzZ z<=!vvars+&c8e;B$^=O$=@*{4mv$=q{9t@Bi+MgO!eY0KG~w` z=&Ne2T3_y0?!jEXDAoO@>>1_sP*1)d!a5ljGbjf^@9Mq$5!3}aSc?yOnnh|Rl7Ci}j95Vwj`P)P0{C@9~kSf`Uvu=tRy7O36Nmv=uN_Bv;C3K(!;D~_zi#msTAeoI7q@7K7?_(tQ@_mD?!v!MG&lx(f23< zjTG`isV%Y6T7La|7zY$1$v>38($fqQDZH*2Ka^Ijy>hJ*8HbA0to?_-<2bz1KKb-} zwBqVRJcsi|pp)sjB{}tuCA{Ny@H}MyjCmP3{#Nro$78P+VIkkKvL9%-AXY!PlO&HI z36Xp8-2-xH;#CEi>HM$VMB%wKf5Tc);*hz%l;A{BH>Y6=NRgy{uOjf^T8aF45?|&H zjD=uo34p_7;+odOvAS-bzBuKVyh6mV4cgLgUBX2Gc$ zRW+Oh$1~JNwhN3~Tv)%Rck)3HN~>^9-Jv2b5Eri?Bl-Th3)lhq-soqPQN0a|yUh*TUtt zR+h$E-#uqOKjR*FfGoZkJs>aPm|PEpFKv96++_ZKyL}IWu!uzI#%t|)|G&_5i5uo!b{is)`Qe-q zA`)`4kwfMK6sLr{!N-(w!Hbk|n{&dC*7FnQ#v#VTl7JSjBlhuVEwO#2tKYOb&9EG7 z<5_;|Tw*IDL}p4J3PR9Iv|K6$O20t8MR-udXG#u2%RuniC&Uer@EYWqDAFnKT`WN%s{yF38J4wN0IfM^AfzT& zB=eT~f|U}GYV|rz4kqM9zzTO8Qci=~lQ#EbnI+n>qz&`pAlY7Wtr!B;@HLRBGs48o z_4*`4XjzyjkYhDKYMr*X@WKpIk~+FrvyNJrl83jTd%w6!QoyWNjxuO7KkLXxP|eN& zYD3+W`wDFR=l1e)sAMaF&R!hn9mRYj(RSwK0%9#^th!vUIw1EM-!ra*Wrj`^UWpt) zLCQfGXOMz=0`ep8+*jfqU>KJl6)+AytZFcm|}zZPJ6VU|}Q2B~!0M%M#)cAtV`L zN1F|ZX}m;d%$>A;l=R7|G3OfaS%6dT#Um@$KjP@0&mZ&I{rcCxj@SG4${c;4eDX>1 zt6%-u%s%<_2k%`K)kJd51?}%sJT6ES4z6_i*VQwAg8G3fJATG7@PV`L zoQN!?&emq_XuaqyINHBUSom)U3W835dYaU`M7c1T@f8H2$F|Yqj=*F{60gQQsj}l5 z?I#7Rn_8kUWeNIUA#PMX0&`ID`l;h{r1#L67t9lpc{t_*->XOY{gpz65{nq!m1{2O zN6{}&bVWf2jWspTVVxd(MbS5DiQcBHSK3?bB?1u#DtG@~6tG$-#MB#D|8<6&t`m7! z=$otlxW4zUg*jVBFQO&PW4#A8n6HY)(UG3VH9pVfKGis1(bq0xz7YE|CK*QIT}Z1L zN@I?0xx{dDf$`!Jozt+ODQf|dzZ<#5x&ks+HX1qRL~=3uk$Stto`jA?Oi?Q8elF*m z?-_V4$WeZl91NMTXN~K!^hWhaba#Hxc+~krwP3+x1*zRixuH7N@evNkSfU(XA$zT4)8>N)Kt$INYGD-NQBnJI#TimZRy%~pU zP---pGUR{ROL47f6U0*H?9-T3LeS&HPyQ?O)#EI{__rh(!7}IFFO!|~Unc#@$H{4Z zKuQtF!rqs0+~pZ>U2ZGe%!gH}zF*$I`rY^DY(I!i=iXdge?_T|f90Ki7?QL>WT0vB zjDC^=gVZ3eFI5ef_o!OBzFo<QLccIw>onbY0oKI zj=oEt4he$I11rFIfJo)+C}?n?G-m0C(C=*+}5$BLN?(8KEUy zG>Bq6LX`;CC1BtOVJ|E&<{DDSTz=wBSfak@K2~@5JkDf z46#v37oho~8D_T<_Cqu`E+%I{az3uSz-!npP+J7!~linfn5{QM!c_)eXo<+~ujJcK*o+Z3mvAzs1 zJo*+^dha6V_dMs@c8^e^Sor6^{cU(5WjC(V78D1^Q=;pN3Nk`3hH|WB9fV5?Sz4GA z&wZKqF>Y5J_tGY>Kf}#1mJ)+;-4b@DDi z^r%A{sj7MPU63j%M>tSJ@}-PtBXc+O3wM}#uy=KdA4Ie*XFR2^FBnoT!ascM9=R1QNss`ZtM4VNmS-`K`z7j zhIkVZ~{TuoSzb66cEOk?LdMp09z`4 z+%bb>&;xJEcei)T_)d;Aed_qcwvAU1!<34PG&wgq?-dK{QbgX>okrK8~k`%SoS z2u62@%wfQdMG&$@c+d&Q>Pa{nkt0n)nzEq&G4~feFZDQlT?yG(odykcEabL})6<*DH`h;bIAx(=3{lxRA`b!i`2a}mDFy@z9*a%riIC@lTqw)>69}mL zw1W^x&2N(9{=az=K$6~KyO3j86+1y!Wr?iWlfIqeEl860l<=G>hBYy+j5~9qxp;;r z)QuG=04TE6_FE$FB+t&ebC@}04!=*pJmqgbie39gj{)v>8NK2MgFS-k~q{FXwhGFYgZpKyZs|gh4}& zc)bFy4Y64jfi5SAwy$7uIUdNr^e8Ov8|FYH!7itfeBFm*h8%|^ZsE~5q5tjl38b(= zgUj%z?%YIoG-@_squ#Q)qSGB=ewccgfA}pGVSdh@N)cNEwt7|{VKjp#y zSdg*asxQjbb9sJWfJ{iuC~@9$>!ctbMe>Mt`@AQYrFj&Yr*TN^EMT=4)Zu)vsuw@T zXNk|~6K~wL%Ja~+RL?*bU#fT4aqNNj2=5CsuK8Bzgw)t#Ot??#HR#yHDeNDfy3G!N zpL_3gjwh=ixrqVOkn7FqN|#;Vvv|pF$_okn<3Il6i!Yl`8wqSAu#vz<0zZ8TpfhEk ze@+^Z2ho=dqhdV+#bCwh6^q(DW5q8uQ?|sK%3hLv^f9W3&+Q+!NDPW2!~>Eqh6%k) z)V=A9rd3#=A9Q%$TaWd5k?<%hNssHJgMO1 zg7BKsH9ZSU4V!k*q`GS)l6YK45;vyraBlG{XLS5T4a(W^V;cs+HFaNq=6gys8el(D zRDV4;mIl8|b|@hh@5pRP{iZBH&_NJR&FwzxBwcVQ)j|HbzQFOJzgv%^20_?h9f9@I zF2;BZET98Gz!Adh<4 zo3g&Z2yAhiglBmkE0~ds@EbyR{#8VT$tQP%AmkT+EZ^cx7e~al^4#S%_wsvH*1uPu z4QFZu7K^#x-?vD1W{{uOXJi*LL%wuQ>#NRH)?Ky8t-h`*)e-Bxsg8TG|N34?Z}kJ? z5(CM41QF$2QEEW;Ewn~YFg_-1XbdV#7l32XORRJ1cD@9 z!oxddVb$YvEW#tqDEqJy#5P{l{Zj>ohkGbPZc}-v7WZ8w_JOYwtJRPSi5^aR!=d;V zEDFCZ-oAPC3@@qzp=HOJ8B2iR@xy%WJNkW{}SfU6pbcWf84aB8SBx6-3A(ArV!Beg{v^EsF%r*uR>r&e54}iL3MJ&dMj?6JPcKnJu?E0_AU4Eks_CH%?Ra+u7~p!1 zkakM|s&c$)?5QirU9B#evsniVGwu=AEpUC;QtvPqlo^Z9%NE293(7M>2Ff>NDCZfm z^CQQD_a75s6KbaBeF&M<+w>n&HSSN$?;tY+$k=`6y#@`)APg92V_5%5f=YDhv8r5< z>jJ_>VrYI|TH)3EMe>|jcT2#Zp*FSu+LBPTQ{E37)IHWdtPQbJ0|*f2q{m)()77c7 zg)C=`&4Tv@@|Nxu%te@#wQ&@f7@i}nbNRhaTkBqr@JeQOt0J##~L2g(sc#@PbfDrGO_P{`hCiItXFHvYlbF9<`aI~#*(?oIfsHR zt_SVZ8uYu)oXTilgE^}>aKsGcOTfK}E!gI{9 z1f4U7<_)a&@+02ofSa!%mL5X{vom2Tm9Hfu^viOMAQV8RkVI3)yn(l10}>{zQ2|*Q zq}dQ+FeRL1Gv_&q`Y##TgkWMMtu5w`Brz$}**;3{o|8v_xp95iWvt0J(WSkwDJ5X# zo`RQMgI5aqw7??N=dL8A^@o=sz?aF*oWE2N-)j(y8N?b(K8%C+6Xq)b*4z}i*S8k7 zZl~p3$no8lFAP)3zBS}g$D1zWy4YWN4|d7lID$l+)FGV=@5BDBnYjjAjO`vo8~2gM zQLNQW@F;8-CxCgLD~5c%Xyl8=F6xAZ#ki;e(c4Hcj$xk$VQ=PakNX*aEsZ7lV%Xki z?&aAi*@mdhAv!0FC!@qsl3>>RqHfz(E&?zQ83#jSmiurW*SYUbk#fk0{xWtG?mb<` zwdpuxIMZa1BneZjf@^%&n=d77ki?yNI|>Nb8lITpA!s8lal`PB*SQNCF7hyD0nS&~ zXY7Ndg8<}b$wAxZcYd=6u}l2*6I*D%3ky}kdNxwH1|grPctN)cj26h1+0C9nOQLVF zyGJ^X?Nx#Qja+(ZQtZWOt(a8YQS!SOEmNeptEWFJByb4*oZ zcoWhEJqaZXQ@jC+5%Ss_vB=m@h9n!B1CBGi3A=>mU5=TLOuu<)KOj%NDH{oFB(Rad zMgkiN{Ol!QKElFKmk%Gt+DL-YtT;BX3wmCx<%sdb@?uRRpb(xqa^3$sO6NM*V<^s~ z9D)z;zJ|QHstJc0p;ESKxAnZKEPxdO)p*z8#eBqx&QotG}fJO$6#KJ_#P$Icw0Qozlfy6dRXq7mDpPRAO^o&{2h!FDLmLG4202%^!N;NkGe_) z>e7K4-#Vu1-QcK_BwTB+zq#Fd+(%69>!N@oP`bnu(mwI-sVWnIuTMo|N}CsM1>9*IIp zHyVXn>pZ7zSIOG73D%3c^l8H94Ee-z75!*Im@KgDtpTKS^yV2DA|o_oo#{6w(od=L zdS?474hJvbz+jLSW!ysVC*3$IF8hM{A`Cw*1&xzZLhPdfC&%-D7J7486R5hAyP{R{5m3K zLRqRlyf}~j@yybd7C+f?+cB@DKsOAF zDsG{|@FpzlrG0_ZF!lrE%^F}~!kC()u2EI>OKexwK?eKHeMnAuMscN|D=<;k{YmUQkL7Ey>Yu(w2^OE$e`53j&;@(w;Dwac~S|2q6C+3S3SF(vmV4C5zw7|w9D zPHSh}60Rl3?AvI4$Y&gCh{lqq=PcztO9p56lINp`5QTS=L)Hj?bM$qx)Bo$_M*k+^ znwt@QYWJ$^?A-$mwobSQhfQlB!eu>A)+LiG6P^&qUNrX$f&9O(`P*Z-=}Crc7&V^rD0O;3EqRP`}dPR z@;2n3k4PU>I7o$uQj@U@)z{~q3MpPaDx;D{VesN2ENx3Aoj?2ReVX$6eH};I86i_3 zAl@`bUtbA5QOSh}&jD4Esrj>~yo^bY72pjBAc~8QMhG#4*$+~f^M*$?Z(@}2U~$nI z6+ll-6zd4>DtT#c2$f;RLZVJ@*i=#xQc&_cEEK(VA(C?xe!-sMQjMFL_G!3QcI+S1 zgzKx669eV-$91OyFDVuTD};`UbrAfHBgJzD$V8#GuCN^R(sf^eUXX+W5ax+(6bOZf zt8Eq(YV`*R6gd(r;w>tsl2Ghv6GU5tWTBA}j!^>1730hK5k2m5@xGyVDxnRRC`Pe> z-o?sLFF|iBOp}~kZ#9;=^+2u>P9fpCF^_2jLN1Vx7KqI2@Lm)|*?03E*arzfWn|m9 zC&m4Vdzj>)*I1CdOpJmMcynA=6l;@dbIt;};~_!jWpP0cR_&K0?C{HoyCd~Z8wbp< zv)~P9fJPV2n^*wnQ$QBsf?6v@tjQRbYP?q==i(e*TMg!rin;{i5)h%spzUkXj|mo@ zdf5#DSBA=LbId7Zm!50qfW6APbwGawi#@=f9z89`^-m}}w7JW*xsMXBRofx5{D^k$ zGhSoly=y2W=ExXgw&(TC{E-+mEKww3=Ut9tLSKfA*BCF&8SSsp{xGXW<5X%B-k7eHtLz7KrcvMe%5%HOxs+;5`lUY0_18S#ws@; zXTFf0xY6V`! z$Z8L-O|6pq$X5rkVbeBp9Op{0_%z=|osgl1Ih{cc&HzI@dy-h?Qc14mZfC@pvyLtI*!bPCq91PKnGw&}*x%zNE&XRt`OY;i)GWW0+v2nLGe3BN zT`G(aGj9NmEwM?iN~}|7E3(yHJ<{ICiCqw|qSYxP=U}-LE%)B%d|@9>BY;oMF=!Z3 zEvg}gT_DjCo4X}@at~#Go2T@mKqMO0D0-zeHALfb$n~=0BFz9RaIRBgi4~0zR{z|1 zJ)M^%mx=e{P1#6bBY}+sHWJuK;4eV}so3VPei??;Ie0y=qQr<;O#CIOp<$z;8eKp5 z|Dk+nirl+iSFyc>sAIu0g zH)>KUj#Qs<-Q-eT9#VxFEf^O-(F;_v>81f{j{e$0j&pWeQfJF`7YWYS75W~jJ&=Ep zT&x2{`(C&I`gYFa+K%fBj!#Bfp$M02|7B-*FBI9)IpAA_5Rfo&$}^*!^ScRYgGL%&mSo-&)DYj+7>JHary z&0$75F`5iEqA}Mrz-yti8itgt3&@RQ7zTP4_@|82;~b@G3u9h#ha#)egRs=Ji8cbs zXvC5sx!G%s$u<=(ATe)Z;QF{HE}&hU6-ihT=UIfep*nhxh)N?2AKfltX+Kny)wMe+v5;-{IIK+&M3UHdn zkU8ef;}nm#Fw!i~;NLlzOnhW9>dQO`!uT33sKiqCsO*`)8uqn2y_<9=9|!s8?^Q7m zVsmygqPVmoJStfx!DIc==gip>-${0gD<`eTf!C^IFTa;*Hk=)d*_sF9`uQ#&^WuBe z>K9vH{`8_2$Gk}jhNi~FM8K-A2xT#HiQ~XOjPFux&uf8u>kM2p!zfimPJSAOlxq?! zgq1z(aL4RRBr6ES+2VwVQ{)?*946g1M$bm_f!ubi^BLst42;^m4q5*Dq}jg9Wy<T1k>q-0c>*QhQcCyoBUutP{-s@aPH&~nL8I=n{yKdSP z7EH}~n0fE{3oGk)+P|=_Z@T-lmH>;$l2Q4+dnHLoh{)oR9&5K=qonW{fv|8PJ%@zI zAog+iBCLZ(>e=F~fNTcKmj>()=8di()L3ZeUXg)c;dH5~$fdu)WM^S;o zmGsd3RDK8tS#0BRbe{*m;S_EA_3N)HVJZ}O{Af9pu#PE#Cb{-gDiO}`lTVZMn|tJ1 zBgX(9kvR%%YDi2}y#-fXU9@eByF;J~FWfaq1$PVX?!i3-_X;kBI|K<5+#$HTYk&`T zcbCVxuie+q`w?sJwZ`nD&t8F&`d@87Qw!zsHf8HV>^5&x{hxG)&J3RfOxil6l$3Rb z_!yfJdLTa^DysZb>pNa~1vw`HVWj=lqy8}&mw(&?Put>`J=eh8Gkp)Q)!hM@XW>dz zWtSZE-G~n_F)w_UuJZR>V_6`&O7&49PBb*X%uYDTpz@Y-^(2wpBOz%l48T(qbqhq| zHmzKsNxbDvUg9lhT&x2{z#B}zbHRH5W~-D=dURwk+ovq1t)~ZnwpL#FSz;=e>F(_$ zR0cQACCZs`(Q{R~0Ff2=<(E(j367}#6Ra#D=Y4)f`w;F`k#)dK$+OdARUrv~AnJ=2 zIP`ab2lf#Ox`Ek(L;l_NAO+9h_QZHT>DJ>eN{9OBSGa2sRnsbUY6e%aI?%8F?f1Rh z(M*WaypmcG6BBjLpm0}fUwb{AW~gwyuR4yz+WwkEI+5Z&Qt=&eTy-+(UV}eI_>n8C zd&#lG!r%GF^}9FFwYemJH2hUc&gN~q$;27QH=$_WdK*&L4zj)Q4Yvueu%X3^AfCoB z&$QNUCHS8m=~?{u?YUKvo9g2QOWz!uiatiL;}%_QtqqVjppT6W=Cpj05k+;JF4fhBVVZ${Wi!5F~N5lkM@l`g<}`*jn>P&3jZ>? z{31$Q6I}$X4gwg7(E$SfBO2Ywt$l_ac8Ux zndW?|3+;+l4Ldf+;l`){AqY_Vvqdknz2p`Z<3rwnny~XD=d7QY&pj z5Dg1nf5sQY;taK~ZVVjH?8?^sL_)A6((T`3>up}zCTm|wt zM1Y1Rr+-4s<(OP$QARz``>+eQChEtJyR1J62_mua=LuFMxq|0OEVO&L@MI+ zt=0>;8NKHSzA+RWVehA~d1@*QlIwoJnQQA=QsqrnE7A^++x2++!dJFsWykktY+^&i zlqP!m9uA|LV{(J{v`f^}ABQ}`R2H?!d410;ZoT_oThVwgC2H!1nu{JfDT5rpqmXCI zbJpNxC2Pdptf#yHPqSsE>InJ3Am2-=o_>308#9#taAH}G0_YK8FxxZh)(%TNoJsu= zFKODajx6|IidVQM{f8DD2F+=tjJ?Dmi%&5Pnl7xIEkB|3Sg=hkCxiYimaZ?nMBx4= zh(?=vi!x!Luz=1Pko7&oqq|hO<>QC-&#IeWc^@C;`%H871aG#m{KTL!ZOAfP3#x9I ze{4M0BWe@L=??UGuW9U>ta4hvyz^%9%!Rcl=ZF5YClC2XgePk>*f?ci@_ePA_U-z3 zxkx795YKs9@EIkJ9R-Acz;^rO?JSa%9W|B93`!?mx#ZQW*^onKOYW-C#|!trnjWkfiGrz$16F4_I#cLHAM98dHLZSsm1Vt83)8K2)Tw} zteszI-{s&B*w;cZ`fR^xo%}-KPK`@%mBF5Jr(6&BTVFC&#dq;=%r8j_Rj!)5F2Y1K z3ej^v0uy=BrZ?ddOK=1xXKz|?qtskPekX}6Tl)ph9p^OV^6DM55DY|@2$U!AuHg6~ zb|(gvlEsQ3NV4jUXQHS|HoKkLlaFw{tbF0ON>|60>bIM9nY~tlhpixPdE;_B&C{TF z8K)*15E2jb7No7@jOE^u^~CcLE{`O{0iXx2Wr2ZFU7o4Z0L3HSUtf1TtH+;la2OuQ z_8e1NX0|@BVY|labL}H=<4Gv&rC+Oam8$S&X`_!Bz{s=;A=~t+6xF;**x1$p{*wk` z^>-p)UOX(p!@v%GtRBL;R>{zwa+CX9yf;;UfH->BoD1g7>2)B*?>|=RMYMzy)!E=3 z(({K7&RSC=fX;)NQCk)XuLcmkr=Di}9aui?0k6X5ft?>7z>@iHm_LH$XeV*}bXAjzy@xK9s0cs~SuQ8ghcN0$Z6uCwU zKVZ8SrE!#@4%BYgF!l9Z-&b)>0yA_!s(xwEuyZXgN0IHP&2*qec254Py60vU@RWt- z%}f|p6@*NS(wb-&jlV-KNxlSm<^Mx>v5|rN`FG$YomPHuAJXD7f?Xf0cnH?tbyspx z%@7~_tKnaLqGvF}xPggQ_!}}N7CO^l>*1Ob`4|=MV4+?0&@9FPPG99#=>x;DKH6k` zPq96iF32hbFR+Sm08K?ZjGyOo>>5O&jY%MJ@I`e{@Iw>IpW z>lr9BAR%f^Lep4^%zaqWbVZc}wFo?*cv3;R-2IW#u#6pbzI*-_^9ml|Z2vQM@i#PK zU$>Iy&!lI#yY*cy`SWC*LjA~N*&nh+YxTK9U4tnT5q7HEZXJxx*0qoY$(-CIDME=q z1BOFyu0wF_V(w_{L~b}m6S(bItp-ly0x1X5(&jm%(2hDp@(h-udP>jKuLNFqwD)Rk z$NxKP_y`>+RN*>%(pFGtbIoy{d~U9)y2=;3)EB#=j^pKvO#YKt2*r@H{SrLcEhdD4 zB=qKh$U_@>UXrOAy~-tSg%g%7fzlpJ`F)=j{b*kR3c0OHoStx?(%g_6dK&!xPMIEZ zjnNB6Qa?r7M0)vs#vJAOM68qjs;-v06Bfq6bC5wi88ysKRP(zp87b>bUEFrzqtD2f8@1N8Vry^+LGw~R~%Zjxbi9euXF;36O|5=MroBz{=LxS=6A)cJDobT;b5!Q!v{3qu6VmRc7Q$Z>L-Kx-PKs0crVP7+Rc z>T+ASitvS{mqqdV8t4C!hlHN_gvxBZL4?PkxGQ0RsiR??Pb+3NI8XJoro#-Wp})pz zN=6UJcmMqnn|54$BPilh;H6ys}He*E1sLW z=RTUY&v=kDVZL#5CPLR7_ImpKPbz1n{@-c}IL!p0g9zTK#mMb@#&b_gW4CS+|P;}d6`sKKVmE~}j2i`;c9-9I%;&|kGb_-;1uvqj+ChGJAf2d}!6v->< zl$DM(|0Ho?U=?+j5tsoB;6D|?FNRs#32*caObU~->LI$IWGN3Za2-^Gg_vRvQ zo85gDEW{8a9%S>}u=`g)8~-f+!ipNB*ZK^a>?In}XE|Hpm@I?4!)Nton}6HWmcvnm zDkjLKDnI~Y;24hh)PS}d!+-DO=Y>8DCka4hlz;c6K(Idrxv&BjWyF(xXLpZ()TFm} z4DcOs#1+aTC~7dIeMrg_5NYu>cM*EIW;Xra6{8m`7rFUZLS&=3oA9MhSy+)OAm_Qw z3e`z{B0e7g4CdTh(TqG2n2QQh>v0a&5d3uuKWU+3}gn)Mze#6 z_K$MDzFbotV!Z29T1mubq;elwk%nm86Px9PEmBCD?MSN_M;xn3h1pFWyUZgsk@)vI z$F&ef+d_S1Bv5`caDT2|EMC-LczHSFLC*8VMVedJlFVLwKtS|6@(Tu2KN6YBm8_Rl ziTM=Yc#Yh4!q|@k`P_!(f`zsLa!Num88EU!Y2{7>c6nw;LO)->%`pRuw13OrXL(s# zk9--FdPx2K*pY%TQjp2;cZEgLiFzp7U&pvD-(x7q9FrZ-Eqs0J?I)3&Yw#ehduaaP zM}s4a9fRN?g!4bQq*-xg<{!5_G9c~M;Oe^-tx{M_RgqK8HO=W+yJ)@=?c}Z>L4wE$ z7DMF?M|GX3j2Lxb%K%H3aQBxxz`NUuQg*QcHA13nj$1hlU(bMZyDhjB)TM18!Zx&S z@g{c_P{_x-9#G;M^*r~|dX59mshErinDo+TXmTy!p5Q4w4F#S!J6@ZiY|&ur*DG>` z&pAT0OxfCt4qkcpNb&d93Ej$&AMJ&Ek*@ctj~*JM$g*zng}=q_o4`+fOaE1GUfb28 znuJ>5Ikf9XQoL#hg(&}s+_@X(dUQPRcca(f76S(!O|G*5aKu_(T@D9= zNBzWex|JazP9c~WQcre03Zbey`peqCVN^XR$+QXFEL$pT5aa0f2PH@LqFz%_X7YX;~bW{SS>0MXz27!AGU7}nVUj0Ks zd5f`y=Zxq_HH1iOoROHBDw!qg{isAoh$-5HKk7SlqSTSiMK~!bsQ+q|miEUJhY<5f zgVA|tP1dEcj>ZXWBm_gRtzm=_>q1^QiMTZwo4;HIRq;&RA~-kO0c$2;u%ZsMct>N~ zD`l@ZweCO*?tM{}e6^j08e(%SJyS{UpxKgP9*Kn%>k%p3LCAf+zJ=@!+jpaXZ0$Te z-rsz(T~0vfAit@u|J+&R#Aofooongr$W2nD`^u9kf3!z6ptRQtQmoU;Oq+1ZBYx_J zBZeTjrxft~fUlAeS6ZSxVv?zz>vyP<*p(0RI*2gssSZknPIAdgT>y2s)joT&AXVlm z3VbtZMkEj3`+S0DtHEB|F30D!B!N|rd=zS4nwok{Uvw(lUAX62)o1a{l-DxZT|(r( zbjN$h?AdBXcRGo~$tO*LGp1SJxwI|CfFr=;f?)lZl^`_-8UseX^>N?|&(bvbo#N zf9!bxdXdG8DT(wwAI9|pEQIo8$s2XwbKNa}meH#9>=6a8)Eu@ugJb$cHKrGoH4*9(?W{feYb z&o5${ga6=CJ|5>lhs4HR!hsxz1z7J5^@Xjp&NZ~GeTf~RU5PRt>MPhh5jvdEFC_n6wsnHLPiBanO|cJy&{FVUnkILy~U>>JO; zgK9*Uf>!k;+;5>ClUk=l7hBga$t*Jd5H)LSoaFM6ao^xtcLg(bOI0`wGv`N`+pWC{ z8u}A!v~-d@)AhV@_S3CCvyZiBZzQ#|IJKH6k*Rk+VeFEsqS%81duc6;QhCkrpu1`I zOG;nK%tN6rx)7SLIq`{y`htwuH=)P0rvg*xOfQ_n>&{dbWIG37Kbc`o)Uo)26i2a+ zM_`N0n%FRZ)Z$XY^B$tb}GicTL z26xH1Sd~Y`&2r|Nw2Ue`lJ>Y@89qvPZ8Q8#Ag(mYAt9bY(ent{!RcK#nXrJwm2Ki` zZRe=&=ctOJ?9G++XaA|VN}F8+x{bVGavp{*QBPPa_|pp* zjYd$fpYlD|YvLS52l{p3Li|ys+nQWX`aO0MrUo?3ek%%#FBFZ!0|}p~0Clo$?G4T7 zt&=L&?V)=Nrm&(*s|9RwT!mk=yifwwFzYZX4j9#yl^{hl#!j$Cm9)*cj`aZmHF34i^=6X1^=Ia7)OC`$vJn9}DT zidTj2UIdB++RORlreV)%2>EM+a7(xdCrK_ME=o1n0jg%2;w{*&_Oyo2>?~k=e7%TC zzr9Ui_c7q$WXlQ9|RQ>$p-;$hRy#8pcAO)N|eun4H&wfZOC zB&wiHo0}jGO{{|Ihr07dEFRgvOU2sqOOxA+M>)d6M87R;;gq zRb=<^i$*&$_fij&>D2#UV z{GUSUO}&E0*JBX=_XMMcW+S8Py}mQ`CDRV=AfB%~$_fzjCrUw2iiYaDwp*$~har68 z3u{iuxj5D`y;@h8D$a!QFhHq?0nXv#nfKO)zy>Y3cw-9t%Wu%Kf~$%LFdtk$UEdXG zW$c?_FZ4_YG%sICN}@_o4k18AHgR?t#*8RxBDnNLN{LwYu%-nwnqJYjH9AeH+>pFQ zS!zU?og%&1N@nT6*9mPYUO2UM^u}s`B6{cs*Er3|QFQ4rgp&?Fqt$trEcK3$=&hAs z8C*9pqd)n4OCoJhwqP)Ak>thXSkB_auZ!ya4B?qkBsd~G4lB;#Pk1e;nn$(o()?M& zsTRL4%d_Bq+U<`0q%BL##FCHuY2)F6&B#}dF1dr&Qb&4Bs;gdD%qXr#l5qV{nqdFB;DG1E>q2C&EX*o#*9><5r6XsxA_=#HmzC}YO};(N z6y!LBv!F6iXJsXl_)CsNT;8?s>`f2uB!%pdWKfWst6!~5%1x>u8%G@Wk?swc|G0!Z z4(8s6rdhG7!ECsDx80_7i1kqoVcB6lZ(}uMDmR@`9&Y}3H?13YJ)bc6svcXWr7Zpx z>J|FwRUo{|P!P6rqitUj>nWo}TqA!tY&vvphnnM^b%7?11A$Ht9ijN4G_+ZWJp}y(mvk5kaA`!yhgyPO&?=ecseYnPRn_&{~7x@0*G{?xWJIY;g{eo z_QW}BD@kpu5)%9k{WyR<1$H0%$#0 zPiMVr<}<*ZL`b5kEU3oUbAAC;JSmnTs}4K!tVC*z|{P7l_8_ug2sE%rH}K?-CEGS8wS(MT9{&^y)l3(Up-L@_$T)nQK}0 zYOcqRVFKf~FVlam*7C8OD57vA=?pV`GLvPJ7?Re3@_?FI`@bmRO|`{5&K7&Jt@+g; z?`t}CP(?E=T1MXgGUdB^z6Viwz%N0HDb_kmNB%D62ekQ%$L}&Q#rh&k{UkGv6L&ArjN{jWgJ%VJB4s2YqJsvwCW0__#Hf$d>B7R|( zI9;gTXotiRnASqPB)q;Vj}u1c>+UMDQ=d{QOa1uw0;&;>M%r@3M7-)?{!hL_=7U3p zbU|Z}MbXp1ojsmCgB8JWVtN!=BgUKTskBgTO%1pd6#Apr5r6Ohreph#x51G(z2)lZ z(uUwjkMMtAz$xRtL>MLVgLDBc4AL+_cmzx`&b_~!FZ*gU(QXRS?i%$6`aX>?LsK3~ z7D73_jZ*FY8}q-j6=Q{hnt6y00y}c9zeuck+b(~y9IcPzOcYF}s+G0x;I&sexfFWi z$Vr$(tzvy*IGx?`=dvW1^m&s|Q(1X{It_-(Yy;XmyO(3T% zl#%TuZ1-1?-jO;^J?YWmiU-3xt8`6%LVM7T@vkH<;V-GZI$sE)5%SCz#YTFZx>F4H z9>K>~%<}Dp2_kY+=JZ23qMw{)yPj;~%VV%~>f-(fpKRWlTsiKTr4CMhz5ibqK>L?v zRv2M|eOYoP!0Wzjlk*&wh`!WRRP?{9fob#y#lF!{M^CD}pxI|EZEfI0Ye%Vx*Vm{3fOB%KE_&$Wk3! z!AdCw>(Zs(xHX)H1?BBRFI$Kp_tI)+8gVy8A(d6Anz;b%?2}S{rCmMNncFZ_9t9xp z7_lKGxdWDqPh{qa*4wYklb8Bl87H1+*zE+8De~5>xkYncBCZLdR8b~$d$RJ9c&aj- zR!WqwKHKiZnUB$S^FEJ1$Ou63*AGR9DyP&ICUqv%f)aBkxRi9v_CuE=5HXj}Uy}rx zzk25g&E?5}c1#_W{*iM5;*smAaejsuF*)Mvyr@-}ttS2duO8F1l)|%#Q=jRGY3;ID zq{|}tH;A8}$u2I*({|g@jwF0?_eG8d5J4H?yP_bZugH z8I`&cc|&gC#PA&F6K3D6T?w>{6;=vr<7k}bgX&1%V z^HLjH`>>_u4iyz_#@)wP4Z@DrZ$reQg>vzp4V_6P$YTm^5^7ku<6%4{{Nx77KXg(} zvZ-TkDZWb#Fg%TWn-BdF1g`L}Ih6Su52+*K=F4Lk_v+yCZ~;Sr>K!tFu$~$V$ttOx z35T%WuAZa)zu_?-)JK19@!zJ8KD?qmM&{Psp5+UyljFHZY&TL?etk7zLKT{d1vyKH-pUlmX%bCb zTb#dtb)qo$#6M$f& zdnxB*oDjB{Kq9d)Gvfru&C`wRo?kyF%d`DpXPql&E51d{(JH!5!oC+_ly&JL*+ZCbNZEB*MF%h+!K%LPwHz90rISC_3qR`=ghF= zSO2nG`wUyL7#|ptFs}*ZPgrT$V=s+Ffy310AZ&W^O*tIz?P+}uSuye*Q?;(%>8W24 z@`2bFo*PyFQTaj3Hat6}(px=CTB}AvJ9SkUXhLYH)G7*D<}$A+8LYK+aB7r2^&d$F z^`+*t8POcy(OE(PFCrHRWRwEEQGZtb`rux8c3NM@DH4dy7vsal^T^YGkx&g8NQOov zotAOrFdL2U2sscTx0PCy_OkblvM#WnF@cQ5@J8n7ok%Pbb>z+sK@qT<*$8` zP^u!}oB(LU+}pFp!0mTT_brz=x_*2`SD=|nT$kDNQ$H?ZWJy)h!^&Y`|J5dHiW`J; z#XQf~Sb;4GC28d%R#RHggto%02LxZSk~KlMJdwWs4;DpwQbvdgw5smLTu$CbL~r=K z(eU9|;1r~>F|Sp^sXV7Q9b|6t;@3+ZAUm*meK8 zMFJyX(xYIxTAdufv|@L!hRSsfrVQh3FjPr^jHzFa_YPESKDd2^*D}EBACT%Egw_tylPm1RTaR8Vm={k~mhpPo=hSesoEN>*4FE4K^i{Pd2Sp`PhE=;z6c=8BC6V4G<|Ltbbksr$H| z_klTHRyr1(r$f_Z(b&lshS4udsZb#HNJ>a4IX zpwWY>&d>e+OFG3ILHA&oKq01kYJw@JVkB$*6y9J9qhq{nJUoia$~-VG75bJLco0chzXt^< zsvI3@uhpor8?e^Xemx8kVvnkID_1~YP8~Aw*suu2op05(J2r@uIAXe?vhWFdwuTi| zy1Y?FQ~b&4qhJ2Ndzme=qE}TkFqaFki5ldP ztxl2O--9~wH>6YhLvcqndk1~#QXdA(T~?`+doZ2vxiS8AnqR&X=L(pes~f>5{WQG6 zzwB1LfRl3AwVPSU3Q=}6Pg)2h80(U0>ZX5eS~qh>lPj67^W2W4DkrXCsiFK#&51Fs zeU?WN4`&`twEBV~_?3XIt;`O7Vtlfktfse}to;GU_sttn~Yt$26^j zbnMp5RI845Vv-x?S$;E?w4uTx=pZ9at>HlNkLti1(C$;wIZjzCA5vah05JurI;MXKg* zzbE)OB#V6kFzgk|^CU0a=9BYBW514S7kMp)$c=3o-RQ18)c2Q6Pl-^$tNWe1Vz)L@ ztN|sqde0cBAB|;l&b@zVnk}|~*9h~@Jcf>12>x-cPXqY8OdOv^{(b&QMLIyRF=+EK ziK7cJ%de6#Y?3iFa~OD)eCK$V zq3b%|b%K?9mlE{)M9GUoR_O~z{soKL7U-WV%eIJ>jB*yv>-uzghh(%DVxQN?4foUQ zDgPH&`MSTeaQQyOOEne9n7JV%glGqqN=fo2ghJ6da&0I++Y27QH$B)ZV*PCHCk;Zc zKC4?Zw}@P{-bP)EJEd$?qMWj?>st;vHQ(EGI6B{Ee88nQX_uW83qsx9Ag!v~gv(;H z;f0yRr41kYA|;Qa!?Bm-7Jh6M-7=6!JS;7Vua{6qmn_C%Ykjb+5J|sN_$sr}r|P;U zgv3n|Y||M;TF|~B*;{!ADl-&sIlA>&!^2(-KbXZ%xG3a7a~fk^{tt$r)fgFGqh^=! z`N-=4%$};EdVO}SY5*Z~o4--{uZ|55dTUV4CMZU@1vo(R)Cvs(RFaPKC1?b{!1ZDZX$R&sp5<7x= zJc;qM^6?UZZ#b@ugHeoU7;9u20AHQwjeR;pw(=@RR~#f&4f3`+$(HY}H+e=5_h;Hd z531p4pC~Ae#) z3fC_pAf_7czC;%-ieFXpR#wC;MPe4SnEwD(DP*AbfxNBkffTIa=!r-r+WsWLCWw0; z&=*QGeKPu_DBE*#hithfRTbgEa7QbM4=OU7cusPk=q&Zjmc4p;3XqKydCBojVvxr1 zZm~#v2dt=U8LP{9{_`gDdNkyjNZ^fDhdAUJqKi)}rBO@sXmeU0UGlJq$&WZq(030| z$@27gZn%4lHKH)1T>y{8WfBqXmRbJ5a7l=RQUq(pOJ>F3Fwj>K1)FJ453Y5c>c6x#Hx_63x z4K^%LdRSJXtP#dY9V^3iEUO0E#Jma{6NWmt zha!hXuu5JF~YQw6j`l?S^EU??ocymDkX%Z z5c)xH>JP-0#X&+AZJ4Eh70!Y<1M?Jouwa!PP!M%PEW=jFLjtxA zc`p)w;X1HTz)uEF_nO11t_q{_dpxzuM1sh$lnQ2-t$w<_ZmIDL-RG`3c>8vm2vE$P zJV_Mb6W8e7Hvj$Mj;8_JIsG&Ia?(923A%N^in*B1xKJAj5yn%nFv{N6CzIGZI5ba6 zb@+m~B4f5D=W)|dx`R*EMOK7S=-z+kK`&Qex909hv|0ujN<9XqMAq_-{Ul zg`-QWbdX3$Oi{3ou!6m5wW*Ymu8*&|^TKKtHUKdiQI$&i4ZKB4Cv{!9b;Bfi(3%^veX6t`E7+Fr*>8bHA! zPv-aFpvW>AmD}4AIq{KPAFvt?R z4zFDM`4`dVhOmlLQ~YYT?3IAZpTF zEmHZ-DGJu!Dl+A^FLYf!wBx9qF^`GkUBf<;CqN=XC+*V6-Gztb+(62@c=|gY30f3n zb2$7sfek><@Rte1zo2i~lH%gqQYcYhR9m}*(xq?AUSR+S%KotzC`S_n7fR)&r6Mil zl#N&1h5AqkF|)Rg7W}sk1#ed9ZP{A5Wil>UwkNugB#$21DMPIbMNLd2rL})ut+meU z!1o};`&r6bHO7s{zY;~{zGLdrK9}UdJiwkP^M*J2t(oiu*ncY!^ZZfZ{EO3f(tr1- zDk1)k-lF>vEF3=LI(fx@D-*%nH#~YyZp9)|pdBbyHdVlCVY5@fc)k~{?dDO@eH#S~ z?TodGy>!YZ#X4$i0bsQA8j0QEkwrl7Z7^BFWK1Jri>cxPay&4sad1R`6_a%E;&5G% zjHR~TMDfnVqD>1~3A;EFxg~yxl~h;ZezW!b&x?kBvt1fOS+qfL&T7%9&^+eG83UM) z60;X;%KkzouCgW+;v9*S%PQOReMiay};*s;VF zN$jQbF|K#gi%0aa>Av9O$*w z|Ja7dtCWVVUQNG0pyL5M0d|Oq;GK(@Do+UHIin4=nTOG;opq=othXI(Z3F(T<7pj6 z7gu@-KZ%Z|#wA$`G3gdH(J&xx3ibsK9uV2#;Qcw>;k859FEoI?ulrkXKBO)_92+s< zG4Q%Sa9GtfzEXbamydTj0l31;jp376&snf|XR%=yGYx1kRR*Y-Slq^U? zX?E7{Y!~o7pzEdIsbCx`>Hp+`yAxNh>^1))OTV7=?xuXOi?6=b=oASD1`cG~3C5ir@Eta86xZ|}P_GBD<0yJO(iw2I| zR}sT2DV&x@1(G7Fq#H67)2BgkU44$zncw24=gn9dcHEZ#R>mv0w`+hsad46G38zg0 zwf5#Cr+DOBm(1m=oD8l}B3~WUbLA6vG?Gj6spt>MPHa;mfXPpUMS$CGv`{L9xPA9s zS)<_B3Y-Syhv&7G^<}CnN%>$g-jlk@y2{ilA5T->H!pDQV#j4z%{j9h|Im>8gPzH%`o|mBGCzic8+uO18dj= zPHYL518Ye+Ol^|vo_BdA_$wEz?})o$E?505r`QN@J`k9*0tb?u9LCSK^Pt|AT zD`9@(F*TF_=>8o(y_7qcL?!I#Ie+Zq_5WaIllqedN&)-k*=0oZQb@}ZnOiJ35!+!vZi-6i&#Q#6%-hfL9? zh&iirV0-GV1&buqD`#;br?4=S)x81o5p4~jp{9d}Lpd17j?Di9semsor`r2;& z=$llPKb}uF1*_hT4_ZBp&<^(qsQ18MJ5A%HJ!ct|Hjz?10(zKTQMxf7K)`nJ8gXC* z@wG?n@BF@1o7|TEOK%7semaouP)Y>#&`cN-EQm;F;nbT?Lgj{r>py+g+?_*qIS`g4!q1~syrrdN|KplVzosj!PWR_QZR#4D)iQk z8fM9>J;snlTL0^;2Mbrc=k3{w9OK5O)@*uOl1I@`ceox>+ZM$B zxuZlgB)Bd*7>_h=6K0u?n}4K|WR7C{SQJHTo39|@3X0RgoeF`j-!hD$C}+ZFg>YDO zem$R~LsEv%;enQ~j);eGF$o@&cJ{uO0@1Qo+pDM2~ZW~s{~20VFGZ2SQaw|+F(Pt+%V^^y_A?&h^1oO zi`bTUA^)|8d?FpD2vJo}nn%sZvRQSf55XabWd6+RU={xbzyqi>)nyx))|mlQ{jkVO z@+cUS#h5XU%(x4WGaTx~l1?j9;8@=PH!u30eulW!CwvI;oc+Gsa8f(6YX=eI+?4#&nJ-LolR{9AL|{{{3XozXy4AJ@90MYpFYhy)pFx z*OQzp5=(lckNDtx6jzkvu!OXdJj@9_I_&%bT_4MO%7TNQ_6Fezxi{|7)*V7-k{58i zi%fPPBDp?Ecd%U zhs+<5NAa-BTo#AFXOWESOz+T62~|SMRvv^Bgb=V2zJV22@~m)Hj5X&I<1R^Uu^{@- zl$cAYdLhlKbXw+;iZ8YZ?z-#gcLYfa@6@CXVEyLzGyYIQ(1{-L3l{(mtP4KR|hi0{0XW0kQ5d@@&CgNf zPEdGm^N@N>TRzY#j0b|mUi#pEvLxha?e2$>?=nK#Uas_Y-%;>tpM9PzfA`x6g+-onUk#<{wqhTzz7a}&=M%iCQ1VA8<#QBXl|~B> zyP}B&7YVBuV@NBM{i+;)iLVav+b5^Qh+ki8hG{Ycx?m+6_#h<2-}iiSL`cvTnGp(d zb@F$4M?TqSpOFXdSrDj#mt1c`!pvrZ53L`$j$aCsvLfQ6dX>~GieXxYjO(21dx>S{ z4&Go5K06<3S_U$i=Yl21TVlChxQNeOXTBNIQZi7or2`0Q(>KY&iX3#T+O%7u?u6}n z(Mi|=37ESQTxlenH$>(R_Z^cVuNOV$ZW{iW`_Q3A3+(rtki-sKi@FRAB8m22`Ry9H zA-9>EyO3Bdz`;~mP-mGxPAr4RqW2-@K#PU$*%2Wc4?ZxMew?yNr7E|hBic#(=5f2D ztpLtCmWF!25cLv;7;7xNW87|T&V}(=#>A!9w2y^wW5v6l-jwDDtvnek@G<7TwtbGm z#I@N+&f9>YQ@mXp5KTS$X@0>o!ikzIv(NXf8CGwMi-4=fz4bcRVulQ3H0is*kGp8n zIi11Zoh2vRdsy`~l0RTPpsa__m&xC5lk<-2_p%q3Oxu$M5n@tis3bj||9uaz;;~78!4S*nf9d$Zc$SuOd{kVt6dHp>L z>q10$FnL6rkp>2=yw%N^)-E8@X8Aru;W@b_@9`aqFXWZ?POm(K z$jK#WXFi}6Ns}JOeU_!>cbxmpw1;$l+m!3 zG&mtTyR5nOZ2-wW@;YM<^33KxR?5|R)*;~!pd_cDAx7Ivtr)d1gzSUB)S9zT2%tJ= zy>+|*2hx2OL9BT*Hk3O6*~m8wJ?+vgjAJ~?D@Gf&>?9{di5H|f4!oY0o|aT2#4CyF zO@=N=DKyI9cuB*Ov3#?%ArLLrAsC$Xo@GOluyv!Qi5kZe3;IK~h(%8?mOpCk%{0M&zX zW!0)=1g#Rc$LokDI#;hw8v6C!<#f0<|D<;W$YoqTEEgor^BO8jwN)Vyj=D-yTz9XC`BQ64}Y zFH`SBXRsx54{Csc)pIpNUV0Z=ti#O>H)g0O@1sW|dQyqLrccGO>wne~SW93nfwctI z5?D*%|JM=-PZQLXi|^AOiYmAGyhDuo4Gh*^EHP?D7ag(Jw1-9ZWRIL!JL-L-FxJ$7 zQVm0L@N@P`?tp`$U<8~0@>j8UP(5Lv!Tpatj7Hs007EXH9ue-`{Tz%x(E}HF8@0Fa z0vZ^C4-5cyjJ*gq&`+O*Dx?nICbC6=h4>QP22c#CgbrvV25@6|=h2QZ2=#it*Kk#w z-V|_64HkMybg37rXSpxuJ_dT3C1;x|B=ywxQ((cN71%0BL-jh&^Ye!kjmG0z z>@5UA5PNVd{VXm@J>byDHRv9l#^x)pL9u!0vKSkuT!m=fwrL;2NxW!TP`~}LfBY8L z0{@2bn8$+OlS4u}{I!48k--MFvQiGR_PvlzS5zIh(p6hxkBkr4Fiac+mG5a4<*8YnRJXb8HQET+jxkD(Tn;t2-()1pt2P zl7n)SHkeXn0rpv9eQZemOUSe?UWx692;+rxyl_86S`ou*-cK+x-eB%%csjx$mXv(R zNwOBA8w0u)#E$zEl7pHlKO>amjL0i3@SP^EDCxA%x}8%h)wax*I*t-&8Uvz#g9Mzf zpmm78LonlWe+?Oprh5>Ew>cKPZj=vm=0)o`51b-AlKAGzGw z{}E3u!J4+Gz%x9Pk7eXEoAe(tzmD-N{T2Nlu&074^qiDZcoWVc) zXWO*3v;2s?2-ZHXI~sq&-j(S?z~0QwF63`u!WC}Q8?$C}vj7*0^GY;>P!d{fX4hEo)OdD;wG*56p-lKdXLFbxVpbOx8XxXF>~c1VB^+D6@@L4u zuz)!|j@nyzDESu;d%hX7M_nEf`jlt>^qdDWi?M5(oV+Z2&Q+^;i!} zILW-Za(zpw*pQwckhB(}X@>WiUWAf_5<->MXew7ee5p&tN`+{NqNvB1q*Q-*KYI?r zc&38LbI0(bh8k5_(;GEB2_YVXup{@OO5X<;+K_+wi_CDEw&MiS=bU!VpTP=Kzilj? zPml!#N~Q_Y+kC$Pp}lLk&F6T=?B0f`By7lk{T2dH<%qIUs(IqYLvDGFQdjR}y#p+c z=+or`<`7-IdXx?y;Qrp0pY~ErdB>E9ds%UXLdQdMK`t}HCpP4DI_n4iMUHVFtVrAI zVN9-{X$VL2CQ zCb^1JAA*td?PJQxmlP|NE6+7#=q2myJ~Ec@mdxCPl+~-zu%hRTvpEgS_qoM=w&a`< zvc6#6w2{%0`ERffRW_CvEdC(C`Rj0REID`k=rAkss(j&nhhXo}pXak~b_`(pm|TFn z&Z8eu%tLGbL30nejgfa5cw6Nqbrh&^cP4`4k8AX9}>s zpg(QaoHN!ZEnMXpwB)pI3FNT`B9zEi$*ZJsB96_Az&z+)LZlMDg(U97$&^Il!$dN3 z?HC(w*dBll+c|DGh$jHs3>g&DMYcI1j~=Ae_P`u$65c%10D!tDwXiJgq6jbaZo*`^ zTe9XLK=Y^xq|zw*6^e7LCju11zZ&14I{0ouf_uY@_9}>bya)&76M&xKhdw4W>dkD| zkQ|VYoB{Bn58S_V9t!3elpMtNl;3F=bIt4NStzLGN_uGMO04%dJ`sa@4eGJyJc97Y%dN(ukgAw_;OXp~@3)z2gcW6+azatY zI09BYu7FG(Lf+_^R)FC2mQC$+U7-@@d%W_mMeEL-dqS6QECD%yQCE#6U_Gt`u&eSLSd9Ycu%7LZcVX6hdi~UR@3Gg*`w2tl zpyX?SHpZUNq5<0gSS>b*1aQsyf_jUB&5nn)O1hC=|a$-|M;CG;fQ^z5^ZU^1NoA_5pPj#sd$ zk!DO!r0N)6n1pnFNe)`K=hNA`e!!i*tWTwy2sR~Bhjg~U=A_@CpJVW+beMRrhHzwe z0jywuMfB`VKq5M)`^;gx7^ztppAn=>PW!}NJq(idFno?@UMcnlZ)mh?gY5^kQ6G(q z@2H%j&d;QZ_r^jJ4LBr>0`EBsoGD7Fx%TN0Z`j^f*=R}6 zl6jt;YKZFil#1V#7z#ceooBbnjkm|WP(YIILE=r(_id#{vNag+9L(GEERyGEMvQx{vxx=`9K^@F7+LDMtFjW}ta{tD+>}6pftoNTK428vR z{>Ho!%SEAa743EIHAPGp4ukC1yzC0Nw$tZ)v7B}Cni;NkxgVH%KD@{}$n*-sd@AHm zq7a{kkGUeJ&3P|LC|UUTQW|*s_tKtqJJu5Tn@GS1yfMOCC>a&jQxXnAF1VTOLz(+I zlm<3r!;Sy?N@lfHB5bUw1ZmlILZ~*B zpIpL{I$LXBH`kMzw$rhL)wAjIA(v+ z_L#HIb>2nKc8_SEB-Hlje_F%7gFKRed4L=Z%Xb@3BTIqeCDG@fgwkv!w|8A_35ha> z%6WT(XI7Tz?6jCwMb{y2^7F zW3JU1^CyF(&Z`AUe40c2%^`bAE&H5*T8^y(LgcWH&$BL+Plg;aU+2k3D z7X5atv}AFEQc)CyfE+TOPP_RT5BN3;1Y_DcXQOq0_rrUJY`rgXfI`ILSNXqI^rWpG zKV}k9ImP=!h1yUSVaelt2uV~E#?^d=`CXo-H*RFrQ%DHOAnx5753)+~23frK2jU)cdkZ<3 zV13MdnzKIXQG81OPm!Yv$|L0CYj~c~c7lgyCxjXOC8T0aTR)@y8vwqI6>%hZ(h#9b zSkf!JdY1HKbB6WZ23BHNuAMWV?ZcIZ3Xv+2H_|oZ=?A*h)YoIoPM&14yi3s`Jtz!;gY+|Pd#*V61x`wvK%k11y&)Xgk%m8PLp9AaG4oq z#LJ6sv$HnFCG^wWj{^XSmXslM=39}oc|el+60%Px&@H@{ru`Z#JY>@b_;V!RI3QdQ znE>zGM0E7=H+f-o9$fD&0@RiS8g@5&|1vC}6`ON*r@qI#zw(Cng3U34U z2=PIGI)vlcsJI^?T@3R%24qW#Sy9`*25hok@1oQXsp~|Vd8~&z`MA%Rh=%tt{K?he zdx$|iX8CW4hh1k$xRm7{-kKyU$8xbdBb2fvm*GGFNqUQwSa_DKlO>DU5>Lc-Br|8M zuxOq`mTq1FG&@Te8!qQC&fr0IaN zB_UBQhD$MVIu9AF9p`Z$Xsz01o=jg~7Rjlg4gfI@*ps{q?@8;R4JGyE^o?B@>c^nL zkT(F8*Ng3XUrADJjz|F8-Y91!8dv9)&7QdNJ<@L-2@Oq<4!6=^Lce0j{i9>c@X+dS|@!?*Wrco&R+0Cw2fnYb?$L7Pe~=-r_YAK zwFE)v3gT~Z?X<2mS5yY9bg3HKyXv=j3*A5oFw5G7u&IsD5mJ>oxgrO{vXr&ae86s0 zr2HCj>DT^oeQi-^#adgFdnK1x9P?~p9%Mu0K#0-+tBP)2))H7tU@d{Q1lAH*OW+?) z0;=DJr1Q@rpJYj1C#{SOTYO6TP5kg9|8f6oay81X+V``XQ2X;s=z%jZIr|$x*f3NA zi3A>LchLOM=a%SB-Cd%gOu$GOn&wyRdw^rA(Js0V`XSLyI(k~6y>&DUW4|Kyy}(f9 zU0@Sog_~@v`(%DEw&MM(5Ts2<)VI_VS85wLrQ#Z)xq+D~KxU)`0yEcmQ-)@S9u)@P zE9}zLbp2I~+5wA+Hfr!^?8%9h)$cS`#u&W@pIM<;Pvhfgqr{%aflVb3Uy_5=6UNCH zp9cYIJz_?%pP@%37^7~mY|VA8IKq@l()l~rbk8shquuMdzE9%yt*c9G*(c1v^5hPo zj-@LV%3g}8N~Asyo={yGK#AC26fqE8saCd?wrKwk!LfJW)Bdi$z= zzjt4Q?gWvDPVT&5_HwNFHi52Xi!hcsWEoMSjC6A{#0;{2%I}bp;OGLJ_&NsSCwf4& z@#p*NB|h`xDgE9Y*V!%hSmxXh8xVsMn~$hp^3}fT4Y<&|ZdI)FdVSa5r$Yb*^dsdW z9D{S2hhUXO2P1c*(`Z1e8MPHzkcD1-C5FWdh_=n?E@4k0!;z`zO-}1*^c3uCpA$j2 zL+DXGAuXnnIUKUL#NN@}qyLSZr(YmbJodPjL|}neU*wnPs!ciy5NYh+jTWENG(4O2 zLX^N`hpE*YUx{LrenD4Wt(2PlnJmIdG__(#Al)I8X5z#CM?HN6W;l+ zUWVg4cOezov_8hD-7EqX<^CtcC+#U${=J_ zSfJgzN2ikl(wzUk*CXc1ug}i2@%};f3XT)*T&Ry#r#^ZK70>|&@J{we+b!8 zX4}lkHp=?3L=c*_As@|+hrWU(CkhP5*nVe#_r3~_|EI0+G>$6El8c5aZF9VYx1l_r zF_#zAIioFl-Ax!9Jq9HpJJi(>Z;?-q&w9ZAj)cuW1KhcO{TvzS>FNB?3$~)3$@ZsM zG96{}G2UAc486$-VLW(`IP_$5joRdMOGXe&Jrj@{%0=G6`0%CqPig0p-=_lzJd|&f z)h{-%pyJ#KAH6@#n@0@+8hlj|Y}%|xoZfRA#LF>c%8dJ`jogNiwLQ+=XZ-q%!;HRH z&T-D&gpj-BxGwje-kFvGi;B4%OSH06*5570=O)LwepXk^3FOg+gj2qc0i-vys^q?v zSUnKjeMoWs2+9DSEyli<0OTHv&l)H&ccL&ZVO`3-64s;iFNkn{w2fWYc&<6ah@nmY zIs!}Pm1A2&?${%V;SMIcm5JSbMj+clZ~{pv8CBpazCcmdl5>DH;t~aWK!44JXE<8a z|G4iNJdQ_pgcq#GfR}}N$vJTz-(3tJVK94vMdMun z1a(q5+w+|+XYIFhaoscD|+Y3)E3O? zBF21mI`!xc+2WdujyWE=AE>V>o@U#^;uNn)vR#ICXoXelyNWGrTKCptkaZ3Nt>vX; zY6^?W8UUdgGn6(YKja6w-bRphUKfno0&j=spai2>QT_a*g|U{KGW5oM$k*p+BI%!za))$yyt>e;?puD@@-^ZOAbXNPgXzBJpS>GJx)N@n9&`#bxzr}v(|B5jx=|qUuqv5OgG+{kk zNf#jL0@KAO_TzYsaI91y@i!%>rN zJsJR8hkcPSMAl+hqx_gV&~?R4F56mT^v_7+JqYQ7mLe5;r?u3`O(F@q zZx4bO*Zyn#lkSke#+BCBSWDpVTmq4l`Q|NdaPDb0gkKQ5nFqHI{0Mu%(^AWzng@N5 zd~8U+EIcT~Ysn3^E$(VH0tf^jBC)ybrm~8N%8&|&9w%)6dt7)fh7!O+<)$_7bI73< z;Q*V0kqj#c8{Qn>!D6ezT1zt@NjIXyMG|R`HLAnkf*_QbBoamFCtdeJS0%zw@XYZy zi{Vj!YM9YyZ16`OF2=-sZ(DA_TaZcb{50#Z*{*^)XCwYYiyOeRo!x8(VO2n;6ewIN z!8IetI7u4%`et#%e}guhF;8|NCyqJqP9t~;D7_9DuY!7OJ=Y+6Kcq-F{_E*kgn|5j zAPLQnH-hlmU|yDzMzm3DtWau#{NUkEpLf3fCi?@w{|Xt5QMy~3d)a9JHe>-0He{}~ zp^q;?g=3;uQnz)?Lz6HGN06@Nes)IO$@BeBnDT^%MCq1va{7ja5u2YAwEbi959~iH zvYSIfPCzPFgmukt^8iL3?^lGdw6{Oeh76VcZwq zC)O=M@SarRhUhCFJjhx*gbSpSiusU#{_{}E!vYa`OU@c9_zZcSaPIQ(5br?L7RhDm z))P(Hj!_&{a&JTYgr^$!?-{XGk2kinu7oBE{RV_mpKA{BHq}e-JHoM?vkpuF3hiln22Vgp>=J5o#CV=Dx1Y0q zZ~uIwMbi~)$W7#O#QDb%i#PagoAt-JUZbTh zhBsMeo?zKVjC?{sE>9UB#+0FtJa(bt>vf8ip5{?K6x<1$){=&*@NSb&QS#;}@|QhG zy&j{+?vb!xGDhQ9QkQHOF>+=R&MF<+#Zw1?Er9>kZZ015`9hao;ZU9-KOpX>X|S`JIsYC9-ihX)kE{pxx#S| zAa%{nVP1|OERfHV&GyWG2RLLNwYdLYCkI&sS&$_WBlIq9d9#@3W5BvT02~uwlzW;y z3-o_Vn+yZgsg98s;180ehTKE=T$i~)SeAN8JD3|i!nbw+OWTmQJuK+@wC$>A=t=HT zJd$SQ{gA(4gt%>J6Jt@618~CgYnxCfeU#ymu8KT3oP|NG%n8#8z$TUubCqyK?Oy_n zFa`iA_h^emRLosF1ke&-Re-_La~99=e0zaaDC-_%n{-|mFF`Fe=LI2_IVC3q2=2c8 zvC$yW!n_RP?WIz!l`-=}<=q(q=#b01O(-rhrMcZ$WM6HBGq}zT<4l;_91I5FU>7s z(dskhYe*oRnc%mKI!7~phIdVtppFZQi$Kiz3@A&zv#)}0&s*J9!KMN515WaS9AYZO z863m!jfbJZhGdF)ED`}V3#!d08l(*1ltXE3wSy-IX zk6O^p4+3C1<*nce07z<<9E4ex9JDm8aY$2N;_J8nGIayJ4Q@njZL}))6sD+| z1}o8{k*Mg|#-}G)arhl%68mE(PtjvAe%n9~AEHwdZa>=sADH*B|0JtkfCn&QHCmRK zA@CBoPjW7D(wOUx^P{Nzh||!M15AQ}RENZSYG)c5hUZ#f2@VtQgu=uIJS3O+F~U@W zA(N$+hKC$S{d(gCmez2T^V>v%N?}9kSZuDX@FCbSh(C;g!$T5WDUlbXreQ_ho8Z4N z3}t_S+R5#RVW!|8!Y%eCbS#hnREYLPWmNA!_7Ng74c7>aMLXkokF_6Q#)wEJTc@*v zvH&x-z_NADXXWOx%8qK|pB0WM0Y--L6eH#6yP>O6e+y!w?kDy^3_Su%U-9#RjSBbJ z#P16UMvD6kfNrn~Iy}TlYamIckt+Lcw21^J;7oeYo)X9$Lsg7@jcOC4#QE04u@zXc zq^@>%C)>mb_7ac483vgd*t9Cayb2_u-!KPBi?YE!#Q*|zm+8@B1FOeA#L1AHgG0Vh zh_sPTa}_s76{nqVba}6Co5YZyI}Alt)+L9Q5`XIOjzJuST){L2={7(t;G7FQ`7q4J zu(gCRG-^+U(Ov}s*%nX7l^ktL`ZwOLKE)6;U+}txk^UAWYmep{ZDq=QT_A@Z)4S3` zlg(W@+%%ih+5T(I&Fi)5UcQxJ(+F4`T!LeaoTCw`B%H+-D$_UX@VYw~dE*4kJ_`oN zjQNZZqihTX>9_D+^(6i-@ix>be1rU>di3?K{yps_%G3N)a3b@Z-xvB%*y;8I{^<>u7o)nJ3PdI7}XjG=cBL(ly4- ze8LF#W;EE{f);xX{S0Gd>j1Aw{*AMH{BH4gUy^aX;ZE79;$yluoFih_FxbYkup&i- zcvsvPr-89!?>|1Je`0TswL_B79HH)H81=>FsHKpZx3wD->^bBb-7_Cbq7&79_98Dj z+40w;*!jYUJIwn-n#&X$-Xg-&*U77J;5NqJs5E!e-{|t|%dREx_a%Y+-aQBhH#u2D zcn~kY`YKsD@qp5bsMbqR1w@ii)&)W@$ivkJvS9!XL7MXbcZK!1CNXn(P4Rmu8iv61 z0p%*PdJwntO@=ho`Y6KIy(StK7c{aZ$$x#&W*eN}6rYo^>ZK~1udlxv>)3FgdfDr` ztn$}*`CUKmr@mK@@y|t$_3`CCU)1Mk1xoSfpIV+GV=bJww-2Qw%B5QOs&c|Ol!U_6 z+sM!pA3_is`tU!acp75z|H30uFTOqI(glj>$#|uJat*^Ys&_^RP)L=J@Gva6eg^{U zTdw!$_N{DVyO;ffTyO`3E;FGy``S^|za*6Bqda?_5wrW4$Pq`+(RHt~i_Wd=@X;(g z-Mhzh;<3(koK`A=I>{6$72D^?ht2b9`a1}iz3djQqs8%~tosRs({<-t|h^G0ZCY*u=h|j^;jFeI1G~U38dSE`cSFR(aqmL=uZ0S zHO<2}_dVq9O_cm8!rtb)0duTkZ1LH1uz=f~qqqQVUz;2?8ZJIpnA0#P{S z5A^^ATRFaxr?W6ALFs<&GpDya7bV|edI7au|&>u=Dx?Mq--Kneva?-J`~zq8N&B^JAIEF z&RJvkAc*$>P-7OQA;9di+s{72aKpKL2vOZ*yd?>L!F+pfVLS~bTXTJ{70Mx@Oe2B4 zzrOh0Ct+1dJ5ScxQKv$-5@e!Z# zU}NWC2|(=ChY*r?le}m{t9V8`$wR>$>=EL)3Aredo-Ioza`;wj%D)Y!5 zl4)MB_IG%ex*$biO+dL{5Oz~JFEL=K!lc@V5LT(h8RWG@)*j)3S$7DJvjE71WgzF< zHvx(ysusvzNpRT4TCzi)!7@j7zzWGukIU(A54mZjYOc%_#?!mo^5!gj{qwv_ZkE*p zP%>{Yy$^Y5NS5TO$KA_w(-5u6%5g*@by^YxojDimzn+7J7`m3Pcv@3Zdz(-1c;$G*jXG6oHYD7{Fz1l#UJ#M*IBos)S^{ectR=9Pz*+)p z39KdXQzS5cob(J+#dLr!!`plY(pXeu+yb~>;BUa`pbqvA=BUc*I`eHJZ`?+=diIB` z-Us8KKhFw`Z1XOWYcN(WK1E*wpVoTUwSJqzWRjx85S}QAsKKlK1Ia<~(d&fx$P<6g_-z0tYhg&+ zY4(-Ca_+~4A;0a?d$1|Cm7*pX(TTuD)QIsl^>2eo-4`?*kGN4>NP7Y^gMGwbFlI?$ z?&E1p&R$2P7i#KP0hBZigLmoz8w9qrQxo(}4O4AXAAMbtFnUR!-A9ap;=Kc6Bns-P z2^Ct?{#u8Hg?nXUS!6>vuX<&zFFxO*{a5TkpyjHC2Uae@b5#r7pG`xXJ>z{rB(r(P z(6Qm~1$l-J9U?&nrm3Lzl74qO7~LBQ207TCn*J{(Oeif3Om_y`>~#?l3FBine!#u% zmAYfW)kBXivi&O}A93y`I`9?eP9=-*62pZu)k7Pi|FqwTG={VkPx-BV2v0$kXRi;H zS<(+hB>r@EtY!qiDJwA;k-spI755q?X92O;1$&FnFv}&X&JISr;1`W=Ia|!=m97`6 zk7C`Uc{kgc>djVyv6&V`u9<_8axhRIQB>?r<`@D`1BZb6AlgbI!B~gqUw@5CSO19f zl945qiX*{>dcIi#19Gwknc}aeJ^qH%B1Y(p8?T#?lSYxfBLlPp2p%H=l+?O z^8iXQU_HVURw7WAmO!Z4i{G+s`AgOU#H*8!#u^fXmk*I2x6kNKocdS)$B|i=wFK4@ zxF&)8v!7-4!-uiBwDC-md@we6xJi1#5mSM%!NjR(9M2Bf|~ex>oeBBKf@~Eb$MRk8;uV00#O|Bp7k(t5b}MW&k~3# zpFgFzlpnJZuZNv-+Ho9KrGv*1%WvcmTny;cGdhG0!IOzUUN!N!q=q34*!TR^iGRY2 zYQY$V>=;7soObEWC@CU&(d7ZLgW__)xOP>DA*nv3{1$@j3T5^`;%#T$hEIG7nW5gf z%N!b^wCaUrQC&IG8;%@v1tC&f%te!1KO|)6C1ltqk|HQ(U!Yliv;%pyQgBZo8z0i9 z8Qx$Ltq)KLxBA=J<|PkPLOQe{0E_-swz<6zImrWZC9K6U58ksHi_yL5l%bjvH7LUHD>5fNkPM! zlw9+Sy3UdLg7>EoV;2CH`vL)e*K5$Qot8d;!f+s3`bl_o7{?p5@fO!}T{=T9kMW*s zaovZ!{-5;opJ>m*e&D^fLx`B}*)emoojrrpoiSER$DDkGo6~dVFiHyHVcsl^YPLa` z*$G}PZeHt==dEQ?b{6NQo|C@%llQ}r-!{q7utk6A8lF(S@Q9Rbm2A0Sz3c%f4$Ke8 zJe3?&_7lFJL!dc-X7sT~9RtR;NBv9gjU1v@GSH$NjMkET8<8_|-+*}RA>WMquVP*~ zA8ry7RATUiwg_;Vdp9b1%RiMKs}_!r(WAX#&1q;+1~cY3Z42WL`lW}U;iBKSmPdUM zz%%Nu^+W`D^)O&qLJBVM;49G_+k}a2uNL#!{3t9bM`M)zAO;6m{;69ou#_{DA&^R9 zk30s(wY}jXk8MjeAMUMtVl5g;${bkGn!;h+Dm+fOL zLj^=T01~ZQ8Ou3gLa-EV14Nw*dd`7lsoB{h5eGPd9PEPhN28p9o~RM&uh5sr7iHI{K*LbiLXq;Jeq z*C_gkA|gTRZ%uAOe|Ii(E2qx+;^!3#wKNp*WH~SciPHERI+a*~ik>_UByNV!Il8rrp z2m?wxBB~5{J#Zp8#{7!@W@?vgpze!i==YLazWO~_F$_(?>#r3-b^K0S?2DwL{RZDl zRKg{3J?fx8rm!%SYLKUTL2(@~r7V{aZ}!uWoq3l!?2?0~#hKAih!~X(-ACg$ipFo7 z)F0l1V37$%<2B(Lm2eGyXo01W7Dv-wjH->wqbSlf*{cbnkf>5%xlWs~iHj44144~G zrx+9UW<5GXIS1=7v3AHu)B``BOxa6itQJJJ$!A@#Og|fvPNk2$G|KGQ9>gdP+q}9P zm~PQO!5Pa*D?v#c88iFJ1me&47U@RkQkqXf2_zKX$Iq*O!~>WlgJd8PNxLDIndS#z zY{)@2P9uc|7(0n3BvSaIX&(PoX7<~4mv|B90nb`n2nP@V9hM4AS}Vl{D+xUVVt zN$f!m%5UqP>GtTQVMTcjqfK)CdA^Zrt`mfw-=5#cqx1%QIP42SEKi8ELSg(j4-h`5lqt+9y#(IHabgT^=8`#ncqq=l{yywU!>}f6O zjJ!-OQgaVhD}p<1e0k!lB1tIMZPc)w`RD#zvtJuRw{qr!^R&=eg}GjNLiA;t9sLGE z{FmTqwm@8m4f!mIY;hmo9EE@F!YZ*YYYD6+@R|gCxbA&~M+@E^{AV2SoQ-P3DeBqe zGbk3cO%^m+Hy_H}?-Dd_W=9xA6&~+$m6C%49?U#cAQ*DIdeT$%+7&(SJw-3HHXF4I zEu8R#xytWmlkYfzHPY+4kE}Of4~s6n1Fx6!Z-d7-w}0Mz`_o@_ ziC*w5k_eo7EjT-shge)u9(%0I<|brq{7J=7o{~kEC>w?aydGMxfbhyC4pGR;ONk9G ze9ncM{ZKyQGQ&S~ScPkEwd($)mf-r$gF<4^2Z6+dM4Yb{y$A>VO(6-dXwxnpXg9Q& zQ@MLn5xjPNy$1D={O9A->!+l2h+%*f+*@jN>v zgssHUEtKo_384=e+YTOt8|Q?D;JT+gXmL)=?o1wKj|r`MFn|n{L|;(HNIBC36mau- z=7!2unY?>1%WtVrI4@8R9z9&;2t19vn+uNn4l?JG{`hc}EcIHByVIt_*!fxF&~US# zV(m9L0B9T<9+MEIOt`bn?d)Ia`z7<`4-ifgxwioTH?Zs*Le6hIe2`5b8AneZXCGnR zxXb-{go4kM4N_LcT5r59gtf<9>qFWa!u4Nn+zL-A^W;5(5Zpp3-)0PU7}uPzpsE)t zzC*sBb3bd9IHC==SUcMMm3+5E&XQ-b(M5OByD{o(r#vZ62c7FHkHm8RIr!MxxMp<^+p; zi?l`0(E;+?L3TSTL;!;s^WRXZmGVL6hGN~vyY?o3h8#V0jpd%&LZ%bON+NKB_Uh?* z$%Pkyk~wu9Q0Kz?iP8lSp3&bXoT+ogd47&Oo$-2oUTMvU4D|H9MIX12`Pp=VcP$}D zPgx591FlnuIMz?sQ`g5ZuH-(6!Zl;WsKevpJ#C8 z=_!$0FjSpmcV$txtz+9xc5K_WZL4D2wr$%^#YV-IWJeWOY&*B!bI)n_+;8&-thw5l zqxb%FB=~4X(EzuNB$Y#mrnCqFlRD_6pTU7su*OD>ymOtjE*$dBvi#e^G#qZ!+o8E( zY}q0RxP}&qI&LjLCc3ZzU$VR_x9MZeg9mj6L@t;7J&~YePao(H+E-?2`;a6uF7JTD zJDKm0*T}y=rh0dU?$H?^=|_L6(#cH~%AA8V3HOJbk`-uZLvezYBZt&t+2f+?R)I%T z{AiCKGsUj$BLbd+9rpMvdpEN6gJqKFgP_tLF-Qw|sR+Z{gMY{z$}FXKYo@Xtr4ac5 z;oM;$`1D6SFbOv0? z5p#%L%C@a$Sa8RPbutK7t2hlaBF;xyo6Y4jBG@6jv*ngF*CtwKpHZssIbA~rB1n1y zc!mnl4N6+Ut@R?57@kQk(Zwe|4ukZIvXD?iG91Y!0`n|tR~6cI(~6f@bM=q+LHZKiH1{Nvl_zz-6YChH+^I%j`O{w&1?^dS3P zzYe2HrhJdEF%42)3*>jmyi`2jvedXS$b0t2M}e0nWFhB$`#5iXj9;fBEKT}~$jArU zty*o`sC~pYp6Yw`!TDqteNo9!qnM+O-^Z15Up;!?+R!wmJY(N$tl>kY`Di;H@!8EJ zcS4Xc3&7%&H9Z4czTE#Om;2uV-4_#B>(Tn3iaz%<56oyGSVry{fEM$M<3ae*;|JR} zpmN#OGfZ9;FvmM?iU%al`iU&& z#B&t8MhKtP?j*cZX~7S|r{yirE>O-(o2^%HiadxYMKT;)3BExMV*|3laH8pFy!aX! zJR15Z_ z(p$H&Kuzy4Tt#ZB&yRtc7AQSw>W;zZb|4i&on&c;K$~v=`6vX6tqDq$K1(J9wpf!W z3a`oo(RuW{`U^vwQR1Men7VZS-#fSxWJ2N;r|5m%P`TPKC}5~?vLACyh7M)+%oaAonld&y@kMYe4X-= zP`HZmjzzLb%J>BQh9P3nnEc#NFIqX*cq8R@F^jDUm!T!9mi({$Dan`a9Wc${2{MGB ztvl+#R08R(N3!cKFZ{5?klZmX{x*|9oE*0op0D2Z$&!2UJ(6AGKIc9A70Vag&;CW} zHjl!IphXTKiLQw*hQHmZ;FHMnB9I()kx$}%zs%>U;JOHA`9|2kM z^yN%MHlrKtvt7eIFUx720pdo;w-x9%r>h%=6YrA+G;A>b_x}0UGxpqjnU9uydRQB8 z_r0@7=V0|*yd{@OAbOY{)Ff>%I|qvscK! z(}a=12^5y{s`q#3O1!Gr37j5Cams-Gmp{ah$&)S0Fu90neT`;ym#Fj`w{LRFwTe;b zfZ@U8AYtd4iHH0|kMTaA0|-{MjVu&uQHP~yl4+{KwzK3`ACKBTi`=qgRzHLtT)U=? z-*_G5pt+*?p&6h_jyrd5e}@2b15@Jja!whn?4G4ifBISCE z9rk57g!dR=^lZO)4|07AyisdwD*}i{m#foPVegjETjvQF7fJZ=z1G^F03d~8)(Ndt z5jktd2R>1egax6U4ay%$KfH%6DUhFThrl3xGd?{$ll^yo=70Wc{fP1^{YyslLJjrT zdWe7|fd6wt0#tB;?FMNNN+V0FeB4&Kmb(x7@n^np$yb4|T*xVmj`*6U?pFE8w5sYu z42xi~651&AmaCEThgDJ-K1$Hzt&CT$|6`EiBxCVtR;qV%kMkVbFz8(h9SaaduM){$NlC&P?RC8W^)rHY3lAhOFz$O{qYB1Nh8ZVS1{NQ1Pi0a zpUOPko>Pc|m2-@&EKEC`W_*YD%KIr58yl`i;d`n~+4y?P-jK!bVGC9BEaVGj4w0d0 znc_EM7`OTF(7`fSVjF2%VHy+>zL_@|2Evm^E2uHJmu1&uVb{{+{TJ~qJk$PRj_PJE zSjpc=ahOC6Wc29p^u?S%GC%c6VzC0%Hfn>#Wp)}!sIcQQAx_db3&8W73~&OVl(g>&SdVS$sI9zKWr#Ma zp=7IMY~8ih5BbMRneKFi>9dh<+#aINo4!1ng^`?Q;3=}v7Yw3kBgKRPx18tyL>|Bp zHbNcv6?ht$z??-;xb82op9tqX(4+1oI|!C^!pu^lb1XE-M3uBJg~||0uD!7B6$Bt_ zvb~V)Pj3FUzY8EoH{$f&4jKS|w1M(Lq-10bl!;j`2!}V+FHejUrqYWA_9QE^F=e@xF({dka&47qg{V^Xnd{8S|&LEkNDE@i1gW4;M;?t`q#yJf8d3#>(2f4F+8+f9P3_E_K6JBHvjA8p7 z!7~w-^I%V68R<37Z$J$@E5DhnK-oNR**?2zcP^HP*-GqrzYd1Ao2NZ0Koi-dap*s+4h)y^!)!^AvcM1plV4tit6rb3a951 z2#1ai+P20-lBrCO)n#};(ipw1qs^*IBS^B_t}ODEV6J!Gh)UHTt>R`B6{BB5iwVcO z8JgVA=Li{PAul4uYlxi6Mhhfg@$`R+VE&LDbVif9HApf!^)dA;#VlUGg#?PbvgIg1 z8oGq`k6aTzNxL|eLDir;t^QRe2wPdE4=3FTlI~Re3L9;F|T^Zrii|dQVq{DMwu7KE$-OW3A$N@wmeV9EDffq}MoDc6L-e~h`cAHo6 z$Go7EQ3*Z{ts87wMJc{YXCJSovmUus53uk3Ad%6YC%Gk=pnaH2StxbP_!~p6E1cK9 zjvv%whSt?MN-)UXUayju%(hK^WO$CF5`ifD{S&7;bDxhNmQF_R#$Yn?K7?K;e}|H3 zvwpBMrh2ji=bMu}OWS1}BGr<`Uqq+1knPfBL4G5e5h`D7$yNS|g_Ou-;VrM53}ES- z%pmHf@3OIxDi0ylVNtiTKE`t4-%jeelT{^oQQaPYH*BbG3vIVKRJqIEP-A71esGH& zQbuUJA^dMj(2W@LbP)Sjc)8l*^rf* z;^%K#4nUot$By2wRV>#YhS6(2Tjvc}NclzodN#`xaHf+kQ^!OS@iTBG2Ff-&xVGLh z&j7T2@Vx?23fyKwg2`m4-55!Ij=HT!OFS-lBmA6*)yL+-C6UEqAqq5lZkF@jk4a$a zf!tFL#;14+In~R8hKO8v0Lfg9rO-fg+)@JByzbp64Y5*KZzvnF~Gz~7c30-WlGM_EbMbTirM%xS+-9} zS}ulqi3T$`iV+)Y0LN`TqD)_eij(NxDwaXQnrcRPoA|jW`-i|?LgWjICeH!wvHG1q zj%%fA#k8TFy+Y!MilgXk`yd9$`K6!NTQ8aca_^}Z_*Yyby#XSVN#_L>hQ3puFY$l? zVj)q~d@CiMj>BTR24&ZtY^Iwmd>OeB*A0HD3ajNuj#tcr-^e)`0%LNw*0zyZcd>TF z5*UQnwsW>XL<>#)NS+=90T4jS_^^q@w~j@8|@# zHpyjP2r-`FqgX|kk*d%ghwkfh*9BwcSODY*qZ*MYI znYWoy?1$B^Gf(RzUkSx8S!Qp7!m6w%A7l&UpJXWap z-f4eCDl%tmhyH*ptvMB=PlSItk^)tgqi-dqxHI&3oGN@CsI^?vHJ3H4(`9orK;&Ux zUtN1wD-M;&MjhP8xm_R18qp?TXyjsCR#`ia1Z$80SXBHlHz-N(TUpd^>OquK}H zUE}M-Pf95G@)=l%`N9$*vrVM=NSXw-q(NuAjUd_ral~yH`AxmuO|pY!M;m%pnQ(Nn zREGZOL28lhrmn-H$W_01o^PXUMMyO#tHuy1i@KeW*7+UD3SaXFiye=n%j_xVGT;%5^}DK}-nii0IBPof^(tAxx0Gbx|1I$=;!aL5s-b z<$72*sfZFo9Z5L9p^rexp9x0r)t_~)Axj=jMtL2KLef=kI~})_f(RHcr42>D`Zt%u z6|9J_1zoTT96xf%E_wpliHf=9Z_mK~9=~LjX>?3=XM=x4wQfktaOG9+s`2T3IDmJ# zW9gCG4$S(dv>c56?c+At?sO_0=StnE<6OZe7ThgdPIWVmUMVB$jX1|hW7r6j|4SwC zTecnnAiSf|^9Z92_1m{CQ6=nxfy7-e?wp_`kfs|KAfHbB87hs5VcT4DT*8B|r~S9% zWWMd$eC4jf{Zxb5a$79+mHG~<$vI&)Pq&(PsG&zGWrzU0*~>D(%?M5ICIRE$?>ZWo6t=dv99uEcK3$u-5x(D-%2VkJrF z3y`C8|Iyw9lOPmF4`X7>XKIFY%euTi_RNnRh@0uJ$8diA|D|&O{fv<_gdv7h{VVhj zw)a~jc6@N&cqJqXP2`ctg<+!$4~X5>NKNCx!DvOwF zFH3t-MpNUDTC@fO0BOMnphQmE2g{Q;7y4>CF&`D4oR>4@nAZrlXcIK49yNL!Mf~EA zbs(Yan;o0X9YgGM)>2i8n4qO!4e{wba+8qX%2Py?F`>rgT;MVu7+^TEqDY`|Qz;%h zqmeX(O=kwTtxMyu4~^Bm>X*3Q2e0ix+6=>R-|>DSbrB!@YKg4WIoa+&%J&{K#ZzVH z3ZQKv?Aj3XA? zUl&+dGmKLXbFW%GK`J6ZXqA`vl2=7SC0W{3tY11e;0~@tJlOc4&J#=);V4^1ivkJa zx5l_Svi;LnIemH10t^gu^}~WmxY1Z0Dx4XhfJvcfa#o+>NVF9?*EIg0S%L(i49GYW z;BhKSYjUjR(2e35JQKUCe*X1%CGExz^*3SWx}eTD5G3ZhVMFFPX&RMVF!B?bPci4h z9y$Abl-@Wl=(b&=8&k#Id z23tifQ-ONPAT2u8dFzVhSMYp4^l3La{v&`mF`6o|6)Q{;CGh7r_hkSDYi(|HVYS}CZ zUDb9P<|_2A`|oUI>yu6t;UfmNnd;khiZg`j7gQ4z3Q2O9zJx>^IbzVA;HqR}-UtYu zJ;$ds6c_??YWVXMk~Xio=jCr-{_TV&#oSwC*1|o7C=_Bwp8y4%Hr(77d}>!8RoS~! zZ?9MnoFx~~#b-Z|_kejmX)yZbCNj2Xelv*hE5(ow}QTM6Oc0x(%L#V1Eh zB)~~4u825|p>A=BoV%OS^2~R(Nt!z%w56LGtB=PtXjHyzJ8lw)izzGs-TK3Eu!m%o zAaO7L!=st`eW2L(CliV`*&7OWUWF=hHVUg=2V~cI?m#B1Y;Fc(7<~|C= zrc>S5pM$k)0{Ayhk+~FO2L6`-s9mpA0=qLjvVqdv&K7LL$aigqB4Ls35+dS5%CiEe z8AwBaWB>{i2_}V&zqah0?2_&S2!UsZcf$cHv@mny9@Ye|>%jSJ#8L%jDc=D8!|cwC z#oC^qjIaijkY~5yW&&G*G}WJ~JhMslL7R|mqV z^9)RRB%=_G0Pv3)4zRRsIpzo%dNYVvDe!Mj0NjZ}6O;6G@nVQ0irty_ptjX@!ERPQ zF#I?3tVML`A$xuhM7}qWYoNkpg@Cl9D>{AmxY^M(;+3sfuTA)hSj6@*nAB8N!gfT; zq#u?W=H!g&iBT-zN8fXLbwSoAb{qDvd`Ocgtao+tAZ1~vZ7=n2-cwy|*5~t)gF5nS zTa^NHIng4lHaZ6qes(gch}EPmxuc*c$QAei;l=yu;)LN^N5s>;EL|6vjtZRbet2Pe zW?~NV={jh270_~DADAAWUj4a}d4kwFkMVzw9gk~U9&Zh1O8wBs8{B!sKKi|)B%Ojk zK?E1pf4S#C5r17cP4*SBCL9+co{Obj8n3U9$zHuH)NPFCu9w9#euva`d^qXy-d6`7b~sdP$J1mqT)4eg+rE-aLO zacE`<^o}FW=S-9&jfn*jpLY^O zbq=m_vp@v@c>y8ph3gmUO8{P^-0N1!Lbmfuuv!AFHRL|VtrUw_?C%cyE z(DRel1@&w8?|&&q*d>uJg7Rd$x!OTEcvWpL1YQ0`?a}=U(5jv#%4b`0=*-a^ME|W= z=L`BRF_wzIp3i~=l#&OZ;hY|e@9XLyzS@Yu@_7cTi0~n>nlA7TgwyN{SFGzE@BQoaYRzbg~nSS&>x^rG9wTU6E`grez=DI zQ(d{P1vf1?rC3QGiuh`fQLGdw@gIwz@JvH}uB3~0ipg{%-=?YlFgev)B;b~zVqeoO zB@9{Kzp?pG*&`t3TJTY&+J>e#TLD>Fws)TEX5XZfREiJ!O&e{`{{gM9#rAQk3aMlE zkcCNIhJ<5}(R`9KAdvjg4-7+bI`|_W5W@9 zw3_E$Q%ScECVwQJtJt@$`TOWi+}T&`RPxp(B^oDu_2NfYLWho629C!;aBw~-YFNU0 zu1VnRCbtVRE4`@@A@}^iSTTs0%FcKBFPrFZIU`Gh?|)HrdzqkjzBDo|z_k@I)$6g) z{B&bLEY;qhIv>#`HTn|WcW6}Fz4;A3q7Mfs7sDmyhdjref-Zn2Wgf*2Ca)vzMI&##YDcxYo-C0PA{`WN@9f zdJi=*l{UuXI=4XrV5JF4)jMV^N5Sc7Lq=0B5CALKmi6nJM|>H+!5Man6W9_pWnvvW zG1@Tz3v1duZkf9CJP%;S=$(g-uCqE?4W<4;_R!-+><`u58k+J3QzAd#9ccF3n<)2- zAEoWA1PQhf6gdhtgKy&Dng*h}z!|%jt8zD~;{=jRDjL7EUFPLANgbfszHD|D7I_Ui zF{f;)enr0hF!;M>3@wbXF@@p)pCXJ1S%$v(EO^_F;uXs(DJe9=Jsy8c&C1SZ-oeW1FxD@| z-DFXsn~F>187{V?^*GFW2**@*lMw(X9bu4U$0x-@=**BBa`JtBrEesSjDVjKK$ z0644;b22W}V+kMRwI9RP+j&Fn{)H8OnZpq_UkkzbVlfPb7X~5#A6V}&%e>WCC-nUw z&DddS#)S0AFh^qWeAtgSd{{I{wn9Lk1rrDYML2W3L!B)zQ(rbICxSIYz|&Tc8V!QP z$MBjYzUl5-;65{ELK*gJ=lYDCWe8jg3lQ>D>KgRfq`uU{0fWv@A+Mc$pIOZi`cB(o z!))`DdsaD*0j~sTxAoK{H4|I^77OF+OZz z%C%FpjW)!E>MT9EU?ee7u@ka+efC>vJEVmJeBpVu04ivEuZl$|m^z(nSQqoz6erP5 zbv{4h|6u{F@-Dx2lGj-y;_2S$MJ|*$<--u^NL)jpH|wTwIU_gC3drRjF_=RsV`Ei@ zb)k;pER`E>8P`xBm~FuGO!)9n2<anRQ&Np&(Ri)`%Hov5vX^Z0PKo zYC&*AYg;=0b|t1ak~);plq$R23&4?3H6D)JpFR0loi+U;j5$6jFjdM~8s#xpfzDaTW9k6OxEvaMj5e6e>Je zn}lu*@c6QwY4~&x@<>eM|DH;kCE5HS_gADUB@2H1sGSF_A+XU_LsHJbaMa8h2u+~D zeO4BfNQDr0vwqj+2FE`PA9QwUQ@iX_Fd}TXV_a0?u(pLp8hN4Cq=!(^O>sB5Ad{-n zBlrIG#dF9{D<5C5I|M1l^$3p7P?9T{Te^-EHkzEjNxu3K7Fg+b7nLvX%LeXitwo*|I3l^P0{uT zSHztkwqe@Gg&{^2eS(U4@pt3o5TxXjr0miptJN-t9MXvTXfwvUh*#QZE4J%K1_ck7 z&6BT9-`)Pc{_f9yd*5wUc6xUqW6&@9b#&H&K49yid|r(0U&)5xvS0Jr=K8hZiVn^N zYbw{{obQ^b7qNLvzfd2uX@ht4M22z8A?C&1UKd|8*B76FI*y{Us863yOjm#~M)Q5d zru=HXD7R&yiK6UV>5;h=5^I~0EC&>sNEj`(1PdYIIG1BnX}DN26)+cO^Xid_AZ3DJ zoqp&JPFf@!j($vJ%=I}8`iX!);{-}l(xp?juiFR0Z$X{L*CIGRISwTYNqI2zWKUub z8RxlQ7T$@?Qi6xST=U2)$py!}cyQ!HXUs2THn|m*#QLsfRn6p~kWa4ZUDh0f7&eU2 z#A4y9ABg;{Owdbo!>2J)Im&wuzYtomUZGW>GRzq1VP9oc@qGj=j)Rn&{A4X3YS~cT zW>zyZF{o$bn<@pb_E zsR}!DB*+61e5l=;$a6WVk^gVjX2N^15M}4X3!y`Sr)-iX*C&!K=x(3Me)0$$whl`u z9K90(Yd1kyF`41~idTjFz+f%S`u|c-Jd)oED8sS<|QHI9GP zeH_`gmGyY7^3VUAhvlmQ{u)A5{QB)!shpRPsu37~&t)xo|M!^$dMf)#Z0y4?#U_O^ z1;10-u7ffxgsiNh7~t1YTSOin9MJNzHXrHbDU-lla>uM?r_6Fs}%riAS>;r*(ezi2Ad;s%1n;#qC6WM>#*q zj<7BU0d&Kxw7&Kj|E&zLx#3lH*rc=qg{(8~VfAuma^L?{Q1VYf|0hZFLoV)N}^Ez7Xd2hmkWYK`+W zkW}XUddiHupWrOTo%>LiUvMrDpwn&S$zgj2(7~p2!LE;i8>N+1#Y%xu1aauE6Sg*> zRdp2a1!j+(LqW9*M7>s5vQ;|jMU~W#bKVv#VRnXfb8P&T&a21M5A7*}Muh^isI#8a z{mIpEy*%Qlrg7n)>ag9ySJ=9EZ&Jy->IsWjb6i`8DC;_%qXh#pUYzdd#W}8V{x|Z8 zuJnBguCpnVmSS@otkV2ZME89EiW#Y>O9p-zn13Ji{jocT$nBl=@VJdz?IU3#m7T-Q zkkjik;oRIBiM>14aSlH73>fxt7A=s$LP#(4j}pg1zPDA(-pt&BX1hY&q!X!}*ijWt zye<6KNl<3F>`H4l;(9r8@&TeE-8ZHWSC8$Qn%vH{(E~2(cH;H&I>Qo;!Q^&!dz#R#} z0+{G!PUr*-Gk&Pk384Ff8#kT&f()9`yPuLQE+p2q%=)AFno2-WdYMgJYPGLTKPej| zCm}@6gAcN_OowZo{2~WIT4Kcy=^Ve=2_bbzvb()$Zp};bfH*lofWkMjIrmtUXcB(< z$k=^|WxFSXeJ)!eGZZ?z?z#aqQ(iGNzMxMzYd7|WHqJ_gH}UPy&VSJ9tT^Nh*S4?i zEwz#R_{&edN$&9cy0-6%-6)dUSxJ@Pf71ZLu5b-LKA94Y(x871#J?U#G;$`bfUEWDkw?KI4m?rrIim6k@dZ7Zz$PV zdpD>l10tcH< zNG*f6{PXQX1h~`KAMomO=}8->^np%S-S{w({+o22ehSZg>(_nY$?VyN!h02y#>BHC zckG^-rtxO^e*Ld-@Y&XMy+S?2?)@jdp5nnPO+}b;EN@X1YwfGr+!}b?VFNNdp~nB> zD*i7v`i&YzkyX(T%Lj9ozPZgig6HRyITj1sn)u@U*Q7th_Z)M1&^q|O(-^)Vg`CkaQA64UCun8IrmPvzqBY4Yz?sGx7ugFfyCwM>>wKAXCxL4S*vVn)4kUy|$=)SgyO^vEmh3rf5b0ekFq60Ml zCc#4=mWyfW^N$GI3itGKl2c)W>4{`5jKi>YcBb>=>%!H&rDv-gnM(^D=nTM3yj$ z#|BE>q)JH>HW?4+t z+5`%C$0*&Thv!G@g*m*~BYes4pmvTAI}wlsT&Cty-T`x?xkHGd@wVni_&AQre6lCZ zbu$n-%>xG2CjyJj%uX01SvbVAimB$t-`t=JHcp|gte1^l?@KySGJrScx%7*l7ybD7 z8OFa^#0yL$C8&@6OV~}K)-Cx@{o8spP(84Fc`NO)oKs#m$u6juQmolZ6p<`BhkuoD zld+~jwIz*t(QL57iWWfzGTafmP&ia}ro)`d_)jgQd84Ls5LPE!qZkF~qeh~cm*b@M zfq5i$apAhu+K|eQj`S@h^OLNn2{}xJ=rof$wU}1h)c#^U7-I1Fs_i6YuQv1)J zuY$Ll?J-h!Fk1rL75t$@Bx;6+mDP{76TfO^ecs&w=v_+?N4v|Os*d|)T+PLCyn=qJ z3R%M#xKlIc!@r_L7 zm4O$8>)P+dVwL9&DiO)Sfm6(voW738FR>eA5B}j!4fK^|3^FYKNwyqjSWLA^!muMR z()PSGk&Jx=S%b>^W?q}))S#j>TW`P>E5H6X=_Z*S$-Lb2;BUCGzYmnlE*GHPM|0A7 zzHwl?~0{{BSejEhy2*f63U{izXQ418@3;p)&TlpgRD-@s*_ofC@V}&9W zMp6a%d`LS-2Q%g$%e@TBGethT_?o|Q5-}v3ET+Nl!RA+<5SS#j4kqlCgc|`i%Nso@ zlQK)3A>A;Fi45+XKZ1^kp^;-OwF$?XEr_bZfpLGGJ^Ww87-W*GR$WR_WKsU@r8u+uY>DLT`5a8e~aYU7~n~ z$^1Ij>jti?43J%w5^3l{rfKELW-d1fA8LqJYM=A&`M~8j)t+z_Rc;g`#xlcV2iUj3 z!&tVg&~MBrgjwtSjQbI8txqOsj!)b>M+LJv#nRwtC8Wg@5FyDRwv4fC*dmtR{<_Om z%-?4G1%-nNlJi(?!n3&L?}KR9kG{!j+k83|ITCb8&8Tx~Q133ZfQbKj9#*6;Aggpk z0PiUF@^6{h+oCO`0l`f(XtAdB!{1Kc{%rAFVNHGT8t#6rsmAagg!%MLzcAtSon@xG zQKJvlNLRgv=;jm+4FjrKE}-2^peJiHLUCc5ad7%r{V<=t`*I1dDD=!_>&pt8he!|} zD|^^)rS-t7lV8lnC)}-L4PP3p&*Y_ds?ICH{il?0eVocwKz1~*aOR*B5)1qRbC0I7 zI@1t~|6yPpU`{`%9IWpFlujmG1N{ zfbO!*JKzfZ={lthzsX4^R%lah%xpFBK#zGtp||RWv!?MfWd!*b%TbdzB{BF{Lf5hV z_zRAR7^oGxt>Tc0Sm_hab>!&8rUeoC+_jS({`n#&Ko_B!Pm-qiSTsW5jVld>~zQ>y|5tN4M>bIb98X`zH zXNV|aErVEp&VXyQE?yXZyy%~FMv~YNa>L0Vm?k2{Cwo>1l%j~uuG|y_>u~;xULFH= z))X|{YaGhJvf^=OiJp@9a?Ph_n7SZcvR(-__i^F6*FULQD=-fBk*yGVLZmT+ z=_aPFEX=-9Dhw*E>t%G_jIE0?O^~R3LcyYPj7pHY%1k8Cl?ErgXf%q`g%?pu;Sg9& z#vy^;h24~cFP4&<0x+I+wRB;-%eA$kO|YX=kG-|lS}Y3{~O*h^rN%#_*wNXhGP?zk+!ncRjZ@EC!U=u0sGBxj_*e zVe$B!~rC5Ll7u z7zk;!pY>up$!HMpI+J+LhwH>vqF#tgoI`ymC0V&}Nj|o;3+b?@g$C|l89c}%@X0qE z;CC#mC~=YQX++C5u)$IG0x*bF2gc)FURsc!mz0bZLPBC;Xe%3w1pnW| z?jy~DxP`kHG%hMpsgmv>%SD-Y!yJ}33gSO%Nbu)x2i7|@yw_I5o~@z+&bnS%+mYA^ zZKsZu)`4U$TJeV4)CG4;t;X`(oll`3A7l21!%9DJB64noi_s7Cf6GBoNA>bZOqA^R zmvE7^QoPc_v_%S0L%cK72+pLJe|Q;fjtb1G;rs;I ztj(hV9Lpx&FUwf_)gx7b?+~CiF5_1>@u^h=6+=R;Z~wBS8k}qZswMt#S_XuZhm*?j z$SQV5a1~YJjkgsEsE8huCo1xV79R7bg^4|cpqnrKzzXC%do!Aq>a(k9^Iyj47ju(b}V4DPg7?2{*Cpu+1 z^Iwv22dWY;G=ymFsX*&wvX$#tt^r0~KzvNAaE()?;Fg@313~6=wKs@WfZPzcOuPfs zLXSDfyVr#zzw65nPFa2AgH+5bU|mj7jr9oE)8_8+2|oM|0$<|2G*s)9SIXf8;|WBKY#) zaZNOVN(Jp_;rk1E4tDDWx)t4sh@;4`b^kg1K>8Hz%saxgWxn`RKp4^-&0`Aa%U?km zBD)2auQH1{HcE%;<6K8INHW#?d8PWo2Ka}>TQ`QEx!l*x*hmY`E!#G2i`_GCBX6|K zQD>xte=KIloMp`7IyJUUR~&1nVtueNynHbhOw8}CwB?;^7F0L=Z1B*tGnEU(uysk@{6^I~=DIgIW4C2C{hY1Gf$gg+@3EQK4=W zK*JKRe|Lxlb(7J%Yl1FsNc{k5HLHr$0Er(O;;z3T)!qMEs<-rl&58(}14RHYCILaD z^cw2+c;BySk|u5gxzI!$i`JSY$nr2G{sS}vgF%~OWpM7_jdQ-BC?P2pj_Mv%KZiYe zVKFKiV_7@=fN~Ylx+jX$-}>#!tr?O~Ko^8jAaa3?aOY3TTx~_th@ceh4<-nP5TZ5g zY5;;hL~d`KQG{6PtZJSGL3}yjj;lFRk-1yMq`t{vG*fJaJ7kWW-8n%`Uw;gqh+!E(r`cDqG$jX7BcArM>!lNS^PP^*-_Yn&h$tG zfg!K-B5k@q{to7_&%kkZ02;-Sli_e_aBm>+-9EmeLSn)kwY0&i6jKyWl@>l*^!KCx zZf&d6e|Kh$%=)Ygu4a;tJH;n@x=fa9V&T2ZNN|Y}7Rg8ds1sBSbr(RTZ7YL6f6AtG z*T*e<`@(8wY4B1x?v;zq5~;?~-s#Pnt(SKypoOZ75PyE$vl+$&1#Z1%Ul!?gz;Ivp z2at9Gu6_0^PR&Fb&XGihiB#PlrJt*A)H1_#=9cn&jj)c!^TzNiieoQ{)6nRwOb$oh zt|{TqLDzOHSz5#?H7`_Gu|jISZQTfS??dfityPRifNU;Z!&Fdiw0lk@%rO7JgVfPJdEVtM z;W+f8kZ6k80wu;ZjPbv|#f`4kkXvv$fiR-mlxn&|)i$?7Ci~KF{%1h1bDwLw2r=Z- zLl7Qy6M#U+CQfP&eL{cV*&_ncSXHmVfWI)J9~kLHfY1bVVz>+?*pf|T3YRvS++q?p zTUA4C1}pDS-}_Qxu4@*CN`R$gf|^|IT$(9wKE-uoj4Mf<9RsRC5AR(;sqm znR;3x)=*7)s5H4Z_avU?WrK;(v9%sV0_M*U)HBDtF+Ko`1m#*JxDIMqSH!n{OFilw z97$Ia21G2Z`_?JnReB>~SI^3KP@rG-6o`s+`aBpk6y%1<4|@)hVHTIL=B#QF2T@jo z8zZSC2O%bwMjP}r`+Cv}dGdTFv5P)0QSX>+K63y=5a`lfRC`ZpjjYh7n?85cr+j1X z9-3 z4jBjd+}N&Me=(ozW4tbG6{l`s;lsnxQ#Tb2hJgL|!B$OpUI7)!!#C?dp z&zVk=m1rQqYg7qzl)FNBzWGERhJ)ZiZ#(T=!B%ys$yHRk3H5^$l>reU)I^B4jN{RL zG8EBkard@mt@aC5^RV43;a+dpN6 zpzNkaluR`j{E*~$X4*OyAWGbeyY;6vZDj%#C-B>PA-ZM3hH4<5m_h1c#)3Ed5hH;j z)u1ln&&IJ+ppJaPuVo&j)`RXG{OpnP>=xN2k+?i6T!;C#V=R?o_-}%wy|#o-tZ&fI z{Ar*b1XdEC(VxPXk+*CoS7+iYp6=MD}}Bq_f0DfjSU~Z4)0m)IM0AbUgMNj@fWj?KEHr0`-8;?0a0kWagyp zg15Mr%5Qt|X(--xlbO~b=AsUtykiUzrt=%0Uoc9euO$cT5rw=d*QvZF!ABX#B_ZMA24EDX z(>Wlx5BjS^+Y6YyQCS@X$zaC)*mBw5I6_oH!=ssh7PIx}$=R=Jj0nNQ{FKC>)2SQg z@cJ9!K9E1GHbDKK@0eK$bSHO~EiOUj4}C~jNCe&p!qUp}7UiwWeXRQBAc|em%ktWp z6m^Pc&?`+bTPn-mSk2u|QYdXE^8-1AhC%r?8JR+k%DQ5pniXO@}h|ib28x}X4 zWJGzoAdTdf#02g=$gg^6xJw~)a86u;LEhMB3B7v-Gv9wZuynA1f)R*<1^?&;c=m5C z3HqgY4)9Kb&Py=>iaCPy2;073d5v$J+XEbOzCXX!?R-nAv8fpG{X-dO01%|Hs~AwH zFmp%S_FOeLxg9v9hJ|geL`)_c40zeU#}z@+#Q^N3wFcjD{6tn4q=;G#c+cFMhzRcY z0&&L>8UklndZ7*$OUdkk!h~;hea{gj$6iG*b!BT7e<$wnU$odY@RV^BTT6Za+$#5& zlg0@K?h5beNgtKsQbL6#zq>rKmBgnl7XiTV`IJZBvS2d zCo!3q-gEF1wQ7ItyZuQ-_^{XTiMi<9$4_|XlBG6;aor^i{z?A6V87H_oGjOM zwyqVFJez#c#Cd+b-Vfv<$WJ2BKk0kxTr9jfm}m3?2m2WP$fl0Q2n^xCB(_P`OX$h; zfWLT~{}mRQrJJ^v`2#!7craa9Dr3)*(6KH!q`}faPN2}(9vQLYRrcD(X24>86s4s$1eNeCKD<_0BH^s)Wn(k@SQT zs@>(X&zCJFB5ldY8Kf79n|P;Ycaz1v9<#3zljY~;7n2~`Rq+Q+*it^L7be{3qmhHw zB*3fQzt!%Rv;pKW3JJ<+p=>)wkX;XiXJJ_}(w(!=W^Z!`^z2W7%b8H=Ju_%4&$ncT z;i2MK%ye&))CD$hbeAmnP8V4H{vktX{o7YtDJX|8ph20%P7Wl?8J*-XRzYx#G*y5( z>YYv;^}9q_Te3aumd?^@UD6&oG?()R2))Tv08BHG=y|dCnVEt)BpVjYU-dtufRCv2YGH(Fy>`%-0EL!=}TH8|fJ6*M5 zz2VR8r#NH{?0cli^c6(s3qB0hxS?h&m|spSS}v=l6XOVoI2L-k#+o9>`=jNcs>G$l)RDhN zGU;xTgK8w}y+jp_GKFQ@-LdWArWW zO`@MQoNP4wYaDRH(7>8WC`7bll!a339;?YCow_|g_!d7a=d5u21cT+b*nZ8EK-EwL z-)QGb#5l~hlu~dr&0!I1xs-4~;Q`Ewh<%Hy6Er0vhOa_f-cIaJrHKnBlujCQkMDN~ zJi|bU+t|0g*Sp5Ni+E&Tnrbk&YNiyG!7j57z2~w;^BMf*JC$*(J{K+XMJf$y5Q%S9 zM^i-m@6oJPtlwKBA#N6$Pc#$wDhEo#upIKntV@2qe!^JK(cvD z2%th?xeYp^vE#kP5kc2qFhHfAxH*R3VYwnq9M6;c8d>yeu*`iUcDooXbjX9E>EOCn zI+?~*q;6?zJkut{aDI>ljs4Ui>Yu^7f|o}oE=A44*s zK+?^_x4f1?^zj_2wlLK^UDy@*T&XXg?`F<-a^hOSG6EwbaGS(l4S<|7vp0e@(dQG| z2g^4vmCeWa08uW6UVTa-qx)G_#&*)gMQ}aq>^`lJ!eICf@5eVr&y>^HdeGXR@+*vW z!PKkPtNXuAB*9lEyZ3)D+gRlz;E`opK!#3ATenQ3pTF}qJMwSDMz+R9ByVHdDCIea zIh^KV$66>!LJC1Ff+T*^R7a!I?348zNeS`1ZL-xFYgLYhJJeR|2QsBtE^Kq0*VTYr zNWO2?mXX_EhMGPSTf5OMk}BM!tL7N6?)@s{_(zopqIN<*0C%8B-gRY=oXTU$iB*@qev6H~mZPI$x|F^fD&=dA)EsDOK@3(4Y7Iz* zHJSwZn4>f^N{19tiQ@|3ZstgWl)(2*poIGP3}iBck{4Oy9A^Oa27>&Hsh-1d<1*UF zlLo8*z774$%z8j8Tbpes~~6q?4}D`L7+M3rsMaf z%Mk5sxR01pd0=;D1Sf)w~@ zBq(;Pj?vniSQXr?TL{=7(XNr+q$U}RdXjx_i>NG`v;BI$%{EcoYvlV1^?yenMXI_Y z&cbggak2ImkVaj}@O!i1x>(bL8{TQg5%PT_tnNn11mO%O-|CMjL7>%KN{kLvmLk88 z)nG1aRJM@$Z`x@A`z6tza`^V?V_MS+!Vt%~d(m?;HDH4iNiDYCLQqBp0{BI|NltSC zH1F1fTkM z?zlZ1Y97I@*h~xv@Ua@aeqy;iTki!r5u1zUj8gcbZSzdqK0ALgtWj&8s13lZnP=WY z_8EOaYb2K%TTAipj(x+xIJwxFmsy2H?r1QZ-Iis>o**fWU6~Fw}@y4VZG)Wsmx&-wHmpu zur7m7j{)7NJFBUs&6ph-Pb7g@h6BA*M8y?Fm8?J9+cfuU*d?yjDYn;9V)$vqeb8)g z7q~2=r(TZf8t<*&?atAL=05jjO7~~!9DL3j&~2}f$fkH87&q-?XuYrhe5!t?qAY8W>RD~v6b08N!VB3DgGP># zJHB-4wfJO`!yX^cd^v6?lSl{v7QameWxi4bc`se$1DmNd6D}}cW0DeV;TO>$DLRZ9 zlnb(U>Jmyj7ROWQD*A2_uSzkYtG2|P^6`Tlxj;B-`V9BU$=vIAZ6}o`Or`CRiNd!-J7SN(~D&>uLl;?8)Cc zs8L!aZV+fhcI^s;k^<^emkas0I!)m%C*Nustq`qj(0!CEB#hIFW}Ie-y7#Z`FMph_ zk@zFmDacuav8nnw(8+h@hb?T+D09O_ttGk6+#QdQF#d4jYHcrf9KoSoE+HKQee-u9|Yl@@KHZTo2Cd_4Mf=W_|0jTG;Fs(?l~~KHS*MCT2iQ zPjElUx}RatBS#3RC_R|mqQu4U>TvU(pYRL#wvoKA8XFRAvo`s)WxuoTPXAraWlGKX zLe8rBna>^_fa*Jqff5OGR-;1%n$&Lt+p)kW(D2|N z9g>>d3+nCb%?HXVqe*K>zeMq-qeQwBk$NvVQ9fl)Lbk|0Z-8kJsRO*V3w1+|xhM$X zyWW5)m4_}omYmwm!zC9A8$*~PN61`?b@IqaFBqE%P^a_@0hzs^E70VTZgc7_w&ha8 zvdt@i%+5#r-DR`Na{5F12++rU1JEjgTKFO6ZWy#|vId9#+uIHd?TAXeVLwg!k?hOW|c8y~N+}$$hq|n0D&dmmg z(Cs4K{07%CPTDfapby7$p?615d~$+wqvj|5S_6Yd;9)f?+hhkm3rA`?COjG~)}uy- z5Xzo=jK9?KugI<<-Q%~Z{DQ{UX%E#CHSw5{A)=iB=-qgY=Dt6ITszS}`)7^Ti}=ZC z%RR)+J|fjWq|EYduqs^@gl601wD`}p<@cLHdD)-O&53=GR3$9yA#PDC8$5U2zLRoh@PG|b73lq_+T3|>y0uUCii0^l}pCO-gUHfABLSna)aMn;_w znmB;%6Bg3FQSfeY1obJ{ZOsobS{~UFk|vChj|afTtakSDHU@d(+n=)po2Ni_!HfZ` z&c#y2N|>-(AWVHZnmY&4-d}Tt}!HOD;Y!enxq~@Yhh4U5&b@18IK2L@L@WVScKCeHRoJ*^2gX6 z0-{)0l}>%{0gL#gJlis>hAJ_1EeicHry45Wrg_+fZqyK~uba<#%7>5cjo-Q?Vkk$x1FzI8A9P8MMI|^EUq5H$NQEP|}0$HB( zAS~#++68HZBNL?TR|$jp2{~BAvy%mTGvxpAJnxdO57(AsX2OaVG)9obyM;fC$+FUL%5*}(8ht24YWuIL(J=! zjH!GJb{&mLq~(s$1XE0MyQnX=2KwzWqd+!y2n#8@T`7bCrS2!yQ66O%Qvc3iI&Qbb zj(Gbj^*u!b+i00h2Ev|M?;&Oz2S6WS5T^M1*ED>P`qg|nZPFj#tsSNswbN@w8cbv*4D=b*kD$1hg(^9~3*bq7PlpL`;-g@v!A~3*2 z{o59|3_lT+_mqf3Wo;_p!}f1ZIxS|2V#)hrIqMzmxAq2^ZIR`nUAxfS8L1n-ta$a3 z6i;nYO!=y`i$_H(K$yO;GN~>)(VcUnD#d$@4g-)NN z$)n?Gzzax`jpgS`xLRl)h6b9bLw>kc!%UF?O=+Uv^9g z&zjNWsdvN?_n1EaX)&#WR@^VmFMUsb4?;#~UzU=Z?8&&OMF6X|Ci5$#b9~3|A$rc! zH%FkU{&`!{1}6RoPLIkS^t-uiYaa6=5s_QVVXeQ@?6XxrcHZ^3l8IRx_z5{?ZH5a2 zTUM6dF3$(6k@XmrR*xOs_L|-Jd9Ifk`lV2?o2Yjx#6&p|;5{%F!OS0e%D;wBe@-!% z2X$b$Ts!tQ9o!uU83KM~dDY}!?3fuK1UsOqtcYr5!K;qP; zisKFhv~EN(_qb013B+w&`FhVd=E$kv4|{$wu94Ph^-wy(k+m`RzO%f}q@KLU;pd+& z!8X9N=6PvBuGQ)uaUe7Ri=*H@VN6|5I}z5UWK5nu&Skf*u&)`szt6dwxg%iTr-$i? zIB5btnyJZ#DEUtxmME@xx}~De(7?XXWlQSxX8N|T z-6b$?AJ)@9+PlXa(8!=NI`$1GvLZR(IggLHbdktBq1TH8y$(q3k}Gf@;^|U>b^v39 zw2}A^&$G{z;xt{F%T=lA?-CO?XxbnqRy1iZG3{#&Z$ZS%zmA;F#g9Dx6j85NGZq4C zyJu|XIC&Gpp<3s&0G3N}%W7WqNbf;jhr1n*j~x(+ZEI0qj(j)|xY|2yL|v9?odZT| zJ2ib933G`H@S0*u(64$MY18_ByE4b|`y|9{%dRO3z^Z)n|YOz(zW|U-1Or7 zUwFmfrlu90CC}B52`7J|Hx~7B6J4im`w)Br@Q*R3iQFCx!K?t~c4gaa%7PJif#=^40WDi;E@MWYIdsAJEEmhPRP5YX;mhrp?!fs1PiDTrw*NN_Jow zKvacoO`$JXb^4|U9gDMzrYBkJW|9<|KL%Sevdv!Ppbb&a#KD+@*5QZh9^={BbV|my z2o4Mcdr%qEHvOULVzBFmqHa2S^E$DvA*7wvvL&!&IFzsXa#RrUM&DC)&kR-^;31MK zDT}}2r~Ly`>R@uX6m|^=aN}ZuIn25Y>cc|wdiv6UB7kVpIjDDYI5`mv;F&wVy{CdWL2)agp^Ov15k zFNfrYzcVjrb7tJKAIAA^Aa6^oAWmyTI*m1yAH*jW()w)?1L8g}?tDbgzYAjBL|_~K z)|+iwt#9Hes2Rz>*}3jttpQg+!=g(ns~|qg1nANeZ29UfQA*rCE@g(&rO`D8Bw)Dq zAIJP9o#71i-~Fx7oLr7{|4t-_^W+bYC%O zL9z3pUw1YdZ>5!g|6&k1t?3+)eUW|4XKPV;lxJj~^DU?K+qXX1tAq}NJ%THW7vh6c zMG!nl!~~sL=v?q%*OH|@t8fnEoOT`|I!Qffj469fa%9TARY2JO^5_4t9sEaAXcGnf zw%`+$K9L}He~X_rn6?Umg)JdQ*DAS=y0`z%tii}{wc}> zJQ2J4*1d$~rcd-?ngQ7Q7z8B-kX~Kv==D~tx_VdYGKHa%n_Z~JKFK4*AZ_CntT48c zW6RO3q$P>&lNQRZjETUrgqYO^ckgGnrc#{_HpDL5kRZ8O8u%{?Y^F5cpH95p&*Qy6vt_mEk}zbS$F+9TJocyOBN_V z6y`m6{93GWP}MfdclCZ}1tV-VmJ^f1vFg?_bzOCkn+P@beI%!>m{vtTxQLb4y1uTf zRaYGY1tXLN&aUJHs}%{=ZdSUpEMJU+$aG| zCH*!5vIwXkWYp@chF+Pm{h%+|^3kO#WF85z2wa>%~^D$MfCkY_HEg^}H~@%X)OJs~BgN7b*H~dMr^_ z?!&cAFm+X>(%X=2r-vx2PJtuwm?{QxsyGeD?zf)4u z!+*5w+C?%dd@zCi-EEXj)2NH!ESooDe&IW)wvlVboT9xatb|lNeT&bfeqI&4wjae% zLBb5gKrw4m(U<%9HwR$yPdHmK&U^>MY!)H8T4^Pu(Qz{+c%O0$b%o1uQf#Ze(Y(im z=EmB46+^FB25x?Z6VdLQ#SJ#{BH3tr56u{CUJ7jiYAgx=3MRL{v$z5fPioY zY>?B<=B$((df5HuRf-nK@fT*W4>q%KW-u7JHQO0j=oKgI1!ILrk^Bl!X1A0nF=$c@ zG{8I$Z@n>dqCqzgff%<2@hkF*;N<4zonyzkrTRKK@l3CcOZY6)?;O+y)1!Lhn@6AZ z@`%05tL_>I-*LqC!W&!-S23a2W2O9z-v0s@U6WIXcfKm0adXMpBHRQKQNjd7V6Yi~ zHA>qRbd7}S{Y{h$(nm|h=X+M+=n=0*kDa!&W_GHqOz^!zF++oVfYmG4aL4Tm5(Mon zujZZm%p(V(=$%plz^}*wsEZ_gx;_b}!u^W5Qn@3SSUfjmUxbOVzj%rqW!jGeb9(6p zZg^Otx?Eu+Fgc%>zGi0oF@@A)bP;j%*>jPSt&fLI*UB(Gmv-#vRP_1LcO4|N9dk@qwHonj zg|sM1;D-!R(Jv6;(OdlN78fQmuCVDBBD24dFv^LO7sZv3#O{K0A4rn$mI(Cn8^`)0 z-Q`B8O-x7TOuD{Q2|3hmZ#6)N+|J`S6 ze2A;z0T}$LsF#7C_M35Ymr17>KYN$T%rMR`M|m&l-pu;l4!f1>GW8sV+c=DqOzNM1 z+m9&7w}e^#eyJkypXo0$4`z z-A~kXcY>C8cuMG0?!W89?8po9bZhcN!98O>p#W7c6}V~10pqszL)@S;IB{}dX;(Qf zKoXG6l56vA{i4)@2l@hhmF}A*mWmH-n>S63K$MgwG|;BX%2aW zv)4r*QQdI(+8CQMUrYVobD2r+Vfqhkp53GHkDTPpi0ml)_*|2n^b0Zs{N5-6aLRO> zf;3#A&4E`0pb{&N3vQdJ_jIwi6ls#Rjs5YiS&$5VvcMFi5Vq_Q+2L`36diGzh1@&k zae!TM6j?jy5=xit5@+=$46))9WJ_gjO`R%`EqJLwT-YN1q@1aPJyb6DcAGBfzD6-T zGLT!=?8Axo2mITs@*}y~YYNIgMSl05?BR++YL*~qk_dfDE1UlSE#C-e#&$u5W_CGh zZJAGFx2U=KWzpc0d~D68DF@YWI{ zAn71QviYi6k|4pV_&}uRcmgc+2G5XS>xQRs*TNX`3^(boEx@;y@r2;a#i9L+CLL=k z0D7UT#FMAEqwDIuof>U6`kO{&1wktPgDRo-g?+#?baUw1y6}n-XuCAiLOC=q?*lrQ&=Z6^$$825a{T!2%B*iB2kR->q zs>7koJU_3Dnl%?`D5hm5RiKyJ>7+6tg%{_tKJh^hR_vGkbxD&+^+}>@s{dm#VpC&+ zoikAsNs7(j3+I$nn0E2pAO+3VFyCpjs&5+VV7}}arz4XdBNw(0v;(B|d~u%?6d^O1 z8(V}JL~!f$I)P} z$jzGvVMP008LkBrFGm?Uc|)m zdSzOvDopd;+K3l}A1YXj?py|qDB*ctJuyfSJmp)!>th4c*q1{xU9wd?edr-QCXUEB zyY5oib6X*{ev&%{l9O43YBX*RciC2PPCwp&k-v%mT#o&0yX=g;%4cD~!XvuidXDOR zh`QMieBHMXyvt{OKO=GZ)PC;I{xa|KLI8PT*X2lEc#(U!Gr#pekYWSdUh@lqs(`*OT73JIC&U-EB|=AUoV0lVariJ2*fd}gQ`k5*;Bo(pHk<=}lu z?Hq}(tZ|#jpx~J)icvf?6&0b2ZT>p>zV)|;36{lG0Uy=1TI(@(>AkKt07W(16B_&t z;A;RN6($X7v>fBrDuk%l90__gIw`MPY=pkYXSg(Z`_DQGS*`pdSUX!J(uQ;#0=;$8 zed8)(e0xvGr}1k+VJ#}-P*|@gy+mzODOct~7B=h}O<)@9L)d||&76D5m>cd?9r})d z-Eur08wcD<8-Y|{*R0ik9jgu#3nFfpey-M>pi;V|8@+gzLjvaCUeptivq@lCSOWF+b^)4;?u5B;dSpTvs8Hv zox1*`=^|da!g#^WtV{bfP7V7sG?~P)3+LifJx17j%vaNyG@sYY_M#W~7fW^F*P++3 z#ZfY46T8vK5NTQ}HQKHfAtj1zO=IiOzT|SVEAN_9C9XdnbM+ds8Of`}R$n4}&c9!> zhG^Y+3&ra(+IH)fZjcc#ZX!6>t;3;DafD( zd8V?W<{QEjk4hG}1fSfaqE^gYzXZ<7q}k(uZ=AJnBr~>ckpsE!;Nqhc2UDjE9;PqD zb)rBC5#jSsB@Lgk+)JT%ZRcA|@4JYj#{H#?a(n18^Bx&}y;AuwFf?NJ$1j>dw{9!5 zfAr7A#iSB%TF%N~d_nnw?>~EsirPXjfdgm>#NMLFfxh^#0(AeT%i&fy_kVTNMEpyX zw&a>EZo&2ZclHDKn!D}-Tt``xO#s%hfYMCfWvQuqnPz95B8^3 z=(qI@R!+hEhgQ|a12)(J)_FIQ1B`QY*zk}X%9YA-l_!k$JFMawSO1hHhm>; z;fVavx`5DT-M$2&?4C$yuqB#|EP2GF8c{kvt9GwJiZ{v&N&{)NZAXc}BzB-Crh#rc zf0d{MADmNF*CYT_zz?A%=TX=D<9oeq7tkg&4W=-=rBUcfs}*aze!)^>ID9w-7oA)Q zFEz7iEcg*9q?suj^eK$U3GMQ$HHL0+o9p2KLKHV~)%MQv7-PT+#g)1(;EfvqhWE@V(?4dsr!-xN|FmAGde#;zx7bvSd&q zsZc=WQydto;z7NJs4aapXR>5$`j{15?p!Fh8q4g)rr+ZwlQA!kC{`q`$+dsTJ^xjL*Ku^I}bZ z%H_(98}!}du1rC*UzPYo=nvW~wuWU(^ol6;+?uo89Zd<|q2j<-Zwhy=?%Vc(#y32lcvCZX0v)?vt`JL_$P_7AsAxF~kSGOj-b z?bnj`m&GIqLhCz5I!)NtVn(TX6BZw1Fs6XT$xaiAdf(>U+CNea@Q&UXO|Zxf^QEjj zo}~U8o6g;Du_iUux}m0J#Q02rvtH1iF`*Kt^6{Ttm=p717#Tmj9K4>Geg1X$wHC$& zr%yCbBp#k)cmnf8Si%Ap>XeMwFYOk5lMwT*5s94vCWkKYiwu6t$K_oEXy9DQaWrjg z?&l^qbNdsu`D?mP+dummm2T<_s??xtoNTp=^CGz-_cTK9Hr)IDx#P8nFFkRPHY!gXY5DXiIO+B)|D5IZeiQI%w!2P`;@aZ5Ge`9O zO1mt;X$3}T-8_zPE%36FG&?X|sZ8`0m4lC_YHVE`+X#=t7pA?)q@+y2o=3-dRg3h# ziWf2EbMV)lryHu_{SQ6@a9T8K|C;6-X9!F}C=zR?T=V~J0MST1i9gKHPIFnn@ddH^ zAO!fi;%yoHLjtttj&f1P)fg_J16jVj6IqG{DBf7%MkjEqvkJ@I@HKK7VX)L7)kbZ#TPCyUN7nnYZB!UZ z`;22a#DcV~3r(L<{L>eAXSZthy-arY@WdMtJL3&RG`t(AAqo_+ruXEieF4z*9qN@9 z_SvO3zCj~tHPf?AocXuz%{u`RSwWHh5=cb{osy-~w%d2Ms$x_^wvyqyU-nUNoCY=P z=U{VwRO6mnn@)HN#=I0UWq(Kb&O{^k+@X+c+W64v+2)a*LQFdCfiJYyF_n%$tL z2>P)r@bf{&ti#2MI|#>`3%c+!Qh#ZkB#Nb)-FlkZRY?`xWVYVlQB)HpO(bkh@%=O`B&e!xmewGf@wi*%#? zy=rf}SS;AMZ&a2unm`XO4IQ)FGrQr?%a4m6X6_Bu5QTx$DjN7#O7}RC#4iDsB zQ!1eF%i**o11!B%1L_`u%DoAwun6 zs}z2$zkEk4(OU!*U95X0l=-!50y$Zc0l|(+zAyeC%|#LGzn5gwyFH2Z$Lwl7o-!6#a=K4 zbf6~4@-n2T!nH}8O!R@NK6j3$`6XxbU}_@y5c|v`T=?X3)?sA>m);&NTq^gn!o#EN!=Ro(TlR;6v^?y^nfI8rPp=yW}1v=9Wt#qwzW*B(WhvN#32o3bsT_q)Xy0D=43p;&D;)N3;+gCUxaxo!DFSFv~P%t8HMYQ z{xqVzGKbgS*bGY2))M_aG_gZTcOP_zoZWMtKzY1obAXHZQtKcuc@Z>w%tz(gAwg`D zcvyr~f7=(Mim9Dsp_KHHYJoDx`P2?MZmb#t*)Z?y(HxP^)4uD@p&R)4XK?(_j97Jf z#*%3b6$>2(Tk}o9?wLssf*MVqDqq;ol|ttyT5U`*>44q}{--U5M^$k&c6FK&ad=vT z#%t)rzBj+zsQ%$1r_F&|%8EjZE8iE>5`Ek86rAzbzy5ohsR1~`EO*+MpDL%$nvWDy zmu)_cpR;#MVOUG)U{LdOa|*aBK zx!xq>BCNjX-t@O6q5ZP=Qca5bUavOM-tu{&6BXZoAlrMQHa2|HB zP~u$%Cj3(NNGiLNkbU|FM&jhjmXH6F4#MY?>E> z7$O2?1JR(S^&f>04p*i*)OBCq5%-)bgK)FY!=ZADdXpppb6Bi77i)cs1DrUSjYZ?T z1h+@L^GkjF3D8{fww#jV0*|(kZg`JUr3LC$d(|dAaekqR_SBi-R~>^jIkLrr;``4l zhuuF_J`f7qd-|ku8o<|v=G`KfZXntDr9JK7lH=4_D?|(_1BNWcldXF)bjkulQtZ*y zFzOALi@GA>V{P*w{+2yOi_1cAG8KxZxg)jjMP)+j)VKZ2oMgW}xIq!_kM&B^xT-gn zlt!9=Qd}xkLMZVt2d5%_7Ezf?Hr&7C!_T5RLGyh87MWdQ1Nw2@e!?Z+R-pLlwY3#a zJ~K3StLh{CXux9aje^jCGg)t`^6cU^{~BwfyCwLEcP3u!Jf6dQ+W=VIW zf7!~m_7x%d_TwaKJIH_hTWPHSNy8C|rL~*S@saM8dy>OX#DPUlU9+E}?0W_Qz6=4D zRMdkgKmk5x6!&%h5FtMOf&qa47YlC04%{1(2LFjOZIjH-fwl!YyYdeQTqr%$EI&+I z?rM{XshGVQy|ahuScVs({?CzoOHw8CW~cgZ4pGM)o?3D1qe;2nUzf6GKM=cQNYhG_ zri=(CVqW*^5^`D_u9R{hO{((QMzCkF>01BrYTKO;St45`&-S3pMGKcz#P?xX35r=( z&6VV#GRFyTptwI-QJ5Vu`3Yq>Qho zNYK@LffB}VbZonYsNua_UV+mNQ_%(cXVUg00k!`2ZR zZj4~@G_s|2vp01~rt@k^s)fqAq%rzlJl5de7>vU>H??2p(j-2zqNV6o`kr{I949Hd z{MzzOjbAU1Ay=~urwQ;X2~DWRA8@VSs{dw_-&c4|<)zxYsTgO$D<9&<^bK;sS>jq= zQU^c$DoJ31#Qb*87jD#Nmt7_)=vqks!$=aNQ}mO9iO|YzbWic@<8=<4b(YBy9JnO6~hB}i0N@1LKE?YOE_2qxsX$1z6Z}wZfH`P zhR2Pvg?plvX{gCRgoOjwGzp%)8_#!tJf4@{TMdlVOrG}KC2B=Xb%`(CjZ^PuYPpZg z5(Um6tr(k|Y#NS)2lT;QH;61_fn*u~l7Kr#W{&8;;iZ#RmLguXZcQfe(8vWbT@Wb* zbz3qxI=87#L16w-I|sz}w%GcyGT-(;ao%%_%qDdLrzJ6Pfp@ln-$b7d3J!GOLAMmI zTNH@mdUw|g0jCSoVz1j`#T(D<8@&Q08KN&YGdCrHPbG(#ubY^|nyW3@&mb~h6hAULGA=qv7+YFFHPOU z_9nE0rg>@v0QjD!}F!2%I7jTu1$-9v>L$ z{xw@RDB>R)_oeBFjIE!x7~RIr!V<#m7vDL!-p=Sezu{LQcG_zdl;MN+#@BJ-!^BhC zkN5bnB-FO(;VWgnh$Bp0YiH@@p>vlWGGn0LGSF*^<}#wy1;Bw)3(h~JS`0N`3#THl z_jhQ4rv#^Uy>u!rVn}%!AmpyUd?nJtwG74#cubwK&GAdj7SAEblkr(~kzRRXX1K$w z?GmE4`7Z#mKu*87vANrTq#Il50yHkl(1LWa|EQ8K<3)9MZ4@4wz2#o|At2QX-fYrF zPs(_Q(^i2$L%tqDKVR;8bLt_g=iPuew0Zvy*%mzXBCX4$gLBOD1?W_aHy96@@HVu_ ztToIwzrEi2xkSF7D|in0;dLC2di5kNps`AQ&$n*rY(07`5-fsS=X{3C2ukwqv?dsc z9RMQfFVG{9nZuA8_8*{{e!kBbT>&uFqwm`&oKL)LxxOr}PuxCok(T>@l<)BJrM>1j z6!etF&fT+NNPm=j7;0sVus3fs<X}Gf!)0E3a28H(0;oaotE2a$;29{|31(|0#gt3VjU=SLUj@GR`7> zdX_8a2o73z7)sbU#?tqJ@|n>`H5>_32&0p02xWu?GOQ!( zW2Nyy>NNfZ%TU5V-$ocC&*B&_z!ln1aNQ>KdxYQ?c?@_C!n2lsCRPO>7 z!f5xFd9gygBfJ)0xoE*T*~e%DgOchh9*q~%(jK0^gurQ$pHjZQUj_KJLI%v|TsA%| z1KDNRkaqu4fR%l$G!={#DjEo719Jz?l}w?$BkG$wR&E-eh8qA(k_Q4Id>lw~d6ez} z&gnT=i~wExR{=v&dfZ&+gjQVfgi z!lS&X2O<=WVT&2g5C=Uu3axfx(8E~Q_)}rRRusm0?c1m}+=Y`{>M%%%U*jLBH(w{?=6(bZEhQsmLeDTb(L>;unqA(jokRF6-iqoh( z+H0-}cQH-O(K2Qn4TY{vjD56UQRu5QKU=1KEyt<9Ne)RE!qz$hK6Ezsk40Y6bz)Jz z-W2$8$xv_OzHg(>ulMLJTDPFUf&vQ)EGY1Gq=2bNiuZ1%$)`Ug#3(t|(CLgHJx&#k zH1SwVfM$m142vq{p(zHC5!#de)eo*>OiY9q^b5rm1V4m`<^e{xA0d-)X&3gm5^^5= zzrdg$^dILH<*P%aHK|39IO8;4)$RF%sr8vEANiR@B}2Gor6>O#=&iqo+gxa5BH3fFD8! zavj%Fo8dvn2&n>yWAe^7tL7hswuC*kk9|PA0rHyqiY6X^a^-#W5?qO)Cw_a#0Q8i5 zcEUr^lms=ysmb;Vl$jiYJ5;ezYR3i*VN1;^B6$sc( zpr=OI1qQ$cZMCmcyy7O!1NsKw7>2XRI0AzR*n&EBfVw*EF&AN{u@OL@HEO_YT^fHg ztQY~)3sP8wHz2ZA=IJqRM0oFlC{HRFvy!(ClYPz+OX%W zw;`Puk%9q&AX`9DTWu4*RL00P)sPt!IjUSe8@stP&t6$aJ{44Ka-9IP>bWi1UtF?s!p5Abar3#Wp=)gwvT-8a!pB?Xiv?daJU8wXc@*kK22Pjeh@-P4LgaW_+`@eq*94rs~!Y}+n`r|+TZZNqTxp=4^i0b z;diCeN^4tnJUejv-lfK!C%nwNzDET`fqp= zHeq}(<6ZX@KxmJ9_f+aLfef9t!DM@XDd%C-+eoJJCLqAO=9@!9DL`W}1fiZ+Yy|^+ z1sYx9R~PW>=dhUi6o&dUKGIcyY7d2_%+iza z_feMq=7$tsSpjG@9O)``v;ge%oAU z&(1)fPs3~q5L)EDeSQt4>Fr;)SeG8s(%-VgBGAO@>Bf2|eZ>1kkkA~6|DHuJN}rW) z0D?PqH(48G$kso=xb(BU7Ar%zPC0*+^IV_n7&~gXQG=ucc6x@-TWJ+HZlv)Km`k_b zPvejOEr+@>w*~!7%-M=ot%kgz4A><&sDXrW%W*Wu)^ej{uv3|kICS&075Ofds z2`j;cT8eJEc=A054#o}qbI$YUbNnv-y+9pLoWobIrvC(}`roczO9ue%`_RQ=_*&1k zLBiV`;_gKHk(# zh#KYen2!KM27rW<$qo*Mk1?WXq)T@IJ%<`q>|m|Qvoq^Ycz-f(dd>>Wu$`_vxA+hbnWVNH>(7D^Gvkd5Jgba9`4aIz1*5@B6OgM< zUIu|PMvW)WMWzGTM#$qKV~gc!cj*CPJqU4J?5DLJ9()|@*RpV&R|tia7Z>G#4xy9# z0E-H82MEe%OS^l6b(`@RTnS*X+q?}3w?;d$f(F#9lFQG0e7))cp0d0f0H@llJ2iyc zDPc4%BRuv3;EGiQdXhgv557Tz5J?E3gXWH_3v&~?Fs_2RTCHY}H`Z8zPsYAJ*~GG$ zdm^mX;~dry)}k@T`i#4tmwE|i@r)ZI5KUR50u+SiMOcb*9>AfNz5Tm3w9dml~Kw((oTrqqR;lar@k?-xXvQBE^ zzZS+56etmnm9_|YhS#8{+TJibFR$_fE;ENC3Xo}?=Y#DrUX?YJDr7<$Q@JUJ7unkAw@9~FH7WyM)ob%E+UKJDTWMDLGG#G zIT!``qK1Bjbm)LduxE%uM}(k3W$;2nEcFb>4`mTCu;kn+IoT^JAe2oqlUX+5*|+>O z@@K`+r|w0E6P|>69qMs-hLMYO6|_e=RYT<}au^)vv-)ORVI-@;F!~u-Y-AQd!qVE; zd-Bmh*LrAW)+ump6Y$LtkQRCBF@o;|Msv*dWAqDyVU|Hm!O$Srdtn3>6n1rFykiVK zBmW@hG-;|0)J}HB%zU$xEYiN{vvLb;55>kV7-^F(Ry7 zMVAKCTsZ=`!FZ1GGlpW9`{M$L4u{k*0iYNK1=$msaH`QBWzyb9OcYe4UZU%Ci~F<> zI&e*c&~Ab)bvzV04N^2f+4-XGr{2tar-U3ew|bALH_Ct0mWHy+)I+m080Xvx2Bv7i z(g5RDnfxB$;Bl1*UVxp2X&8V5k)mQOxIhVn`_oQjCuO7&G}idkyy$47=9?1R%5}wt`Q|{?e8$Cz05cvnAk?fTP2y`pHQeFL@|Y@zdhtb z=))MqJeVCrnZa?}r>-rJom>9?>Lp+6-?GkEsmpxyb(}E-gG-?BAqnY*bnMAhKZ z6S^YLJ3W=-+Bfw_b=0E#2d02|1@#KFyo2Y__rCYN=ThT4-}z4ZumAPGroRCkH2>3I z|Mg#|-}sH+c<%ZC(GLg~s@%boJ(TAvqIC`Cng4QFgP(9>8BSGCNkgmp9g7%?Sq&bc zMgJpA-;FodNxieaqo>{8eklJx1pxY2J_3df7)bM(t-?$mqf|cu3CT@3glT-;;w$|j zNv`!WQz5>l_uV#N%>!PBhj_wZ{XeXu#ATo>7cQpSd+)@!uUvoKJ3TvJ@aI=9Y^5*o z1o|BC&YW)VaM*BwBdyDLlc+qmsN@$U5(E)2I$J{dJ3Dv&SR0O~&A^z)@#moBr+}>H z7QA5S2a4Wq84N=K4+Ck@Ls9VI8ut?@cpIe!<9P#6!%ta!b_~}msGfHYnxOJ}`gtP#{xVgiy_C9T;ug3tT&Krfl`658*n%!ot{u0k> z=or=%OL6UbnqqulXwkx)fP@5|?(U-0C!RfVLq~^rIB6fZ=yp6c?q(&0XY$FsUuzncd4$^Ur)V~Zyk9qhHzwY^$;+5v1u z*mAm81~A}Az#Zy!r5O-TwBO*FCWPY<&%tSUYcc<31L!&4M~go%-Mh_u$Q-O4fR|-x7kg?hh>5vHDrBF;g0_WKa6^k(!hj9|>FWTVL-H%u=xB{x zhI+=0nt;!Q_!;m$W?cOzI&Qv2R;&ORE7a*YC;&~Uw@RMII&E@JwD7_-2y&5?JKGvXQa zezSJPv&**kjeCc%$2OjW3UDJs-m*65_pD6V1z9-?0)$~mHL8p_?Pq$td=1$PxvO&pfbeck52Vc3 z#0D^!uDSEoWf|5_qpkL3z{f*Ozt&*RcHr~9ZwMH37tC#jjs%^8z-1!Zl+iHEk%%Q_ zmgna5GIG6v9l)bnr@8};yiaqEx$-Ifl%s~lho=Ruz|gsZ+%bVKH=?Ortp>{8S0m#n zA;;m3SwW5&lSdJwH35hU>0&Ak&J}b7CJEy>yz;X5A3$FNKnoeH*4;x-0OyRtKrcq? z?jz?*b0j~CfQDX!=p@KFf70-CI$#Q*dJk|AnRbLBaj|DEchVU!eAN+k(1Ggo0E1B! zI(2A{B5{I}VgxujCI)MRbBO&yJ4p3_Afjw>wDtp{@nrd?*1wsWy-TFy=+aL0R~o(o z;NeC1yrTZ*Vw1>O=#{z{IQEdu+D*XM)-ZLDMIr<#G>nKQ3|5=5bhb61;{bpZsTDRK zqe|NzfD`%MjbTffV6a&re@?LYEASFw|x6fK|^oB}aH0A}2?g>(n{Z zPx2%?oCILm!M>EEu4f(wUV%+|;`$5H_UJ#kcc zy~%O~22nue`zW2OfFhrwSpNuXvTG=yH#xTd-g{}~v(M5IO7hkYAwbDVSO+xfZ)^~A z{nfw<^S?d9>&Ebq0uF{t+y+#-JRmgN^eI+Utnyc{q@sx{{RTP8Hm^oFRr@PI{G$}# zA2;y4@}uXXUVXO5w)m6^2I|GLuB91_%a2lIL=8o0t~&D>3LJ&6A}T?qClUG!F_TB9Kp1X zvG5bDqE!JBT7y9AKmZZi=CQ*Q73NZ~@?~X@wt3$*=Ahu90HEP91UJotd7XLk9>T~~ z=Kp!%U>64}!9l+Xv9B{!7=H?m>V_i*G@Hsu&s*HVIM)$CM&uYId1(f` z)?fQIVRz{xdtZ!R(NS0tzaoiXiJ4ipi^q+JjaoHC^QRTvKia{Er#Uc!^3-k=imrn zW>CEd^R4$JbC%2Z))CmdEkMq-v_j`5j71gC-hxWO!_Y4v)RC7_tIjImR)2Lbwd)(a zb8e;vpm1&HPTHItr>BIs5g4rMddhvr>>Ggq8_H*T0v1AJz@p_*8{t>5tdb5|ddYbW zV;^e>-ppe{$>Q-=8?DoKfM&8e0XUSf~!E{BwfQO@hR;kzodd1AX|<7 zwW;7Z*4Gu*Gyv5h1``Dj>V*6hDj6zMuf=+nv77=d>SbM>Fz4|2)1J29+F>jZ#-YC; zVTbKHrq^9SHgiP|2n)n&Og)@WAF5dOhBqNzbYq1Y>5nv1r@zkqv0;Fed?VZ|?-zTm z5 z)cN%ru|zQuO2snPsJ#QKuW!d1v1mNJsJijg0*lwogWdN`zOKI{5rcQwHgwcBrHDww}?O=X8 zBRNem#Ek2ZGa>>Ee0VO%O~_0JsW9pdxMb*iOed42sMGaNFjSYVtWxhpLqFUhC+Mms z=n^7Q67AAp`E2`Y2)X9b8;y|x6!4I5D(JM_S4HN`Mrwr8Bs$6v*;voLWsr#hGRG0t z{$1*9(B>h15@1wL)FV+Dh7rh(WH`#r5Yh5pcy=JML-ch3q$A|=@e0vd9vmTaB151< zhz_APsCAJy$Z=O4G1h==buBr$)@U*Up$+)$qJgX#InMFH+kAu!Q%}e1KTPf3b!2Yj zj-%C7^j1=HjeBaL`;sCclMXTVhR>g@ADDJAP1bfW0N;Y1wR8YTIzfilA#TXzAZ=re zm*%T|=9+q;(PRl=7QWu_s^+gp&Jh%}nASiq!YOpr;M5SY3OrTn(u+{7UZx)ME9aH8 zJ5Otd z?~Fd?-YZ|mB$<e)%(@>WRFAedOjclySZ{~?qb4>z&J&FDmm%l!#&fN9+Kg*Tr`DZMS{M1rF zrOWrf|NWEx{o*hF;>q^&HViddmWL=IZ{NP1ZV+~DQO>7;1~8jHlNItRp$#YZ(`pf} zPE0^lPcE&lm|o$X^d|BSo=;u8UQvQ;DWxajhcGUm0S@>PG!Yz_zIQ7v-?^Q7th_bC zQ8e-JY2UjSdCZ0=$VZ$r)B2sdgc{%Ie_Pt+Le=zm$!<;d<1i17j^hN4^J+S_N z_TD^5maIJQK2_CK)%)$cZ?n%GW(;^3AvOs!W3bQ~4$HEwKV&R~BV>od$TC5MENl=G z1Q;&?Var&{Cln%VBy5M|2symSLPqf+Kr-T!2904@W}myw-EXf|-BtDdo>QIG)qQ)Z z?weUz-Tj=Ix|x-E@+{9eS$*E~yo=`9wI|#6wb0ie;E|)naQLOs@W9K76~~`mxlonc zP_2tau*y10(!9D9C#evRHyzL#BhUk3$eIxVLBa z+?sT42vVbg@KKyR5E|pSyqH8#SSI%h`hD6)l3UW&h4cKOfv7nF$pj8^i>f3t{C?Va zKO)c~^I2r`G%j)F{+1A*kVg5XL(`a=@i?|IMUVS;Pn7>VSZeW1`_vA7^nNBOIV-T5E;X#ZZ<#ylFSa<$Byg3<~HCx}xxp&t|kRY<0o5Io1iS-kL| z#eC`MP^}ybH;cSnq$>3l5xAS|F3ik59pf=BHJAk8Gb!sp{z%M?^EZSAL1AJ+ksA0< zzfd%ahE?Z}Lw+8hj}W#)Xu(F8G;NVlB;owCWmf8nLqXY0_6F@~;995@HEHE? z6k<_AH_tXCEDHe%Qp?1hdaUoVMvT|!djSk%Vf2xi+Qw}8-*z6|7n0J?MN^s)l*K3j zVDZ@g(G!oTIiz-pfYioCtVhHvhem zTY_(5-LH;O4Ue`Tl>4IAJVGh;O2F1eROJu~IMoBo8#C?SXqpt26;Q?|uWE1_LQ=E-4lsMvg{cMs`5RV|@qVgG?XEzD*!4jN`e2{Q!gkD&i zV6dWWpfV+EEh2MC^3y()_ADgRCJM;iRY)t)|yphrvmM&upc3%+;tPr z42evtAd8eyBpqYV0Fp6DEM*}Gr6h?wIV%qr&?i_6O1W^6&%y}dWvFl6q(*32tZfZs zx5%XF6pSj<$R6}bp1id8)?&Xxq+8`BfS+L9uIB^|b@o&i8(1Eq z8Cpcaa||yjC6p^mhh`z7SW}NmVR4B)xOy0^jj?{F{8=_&QBrP>BHvWoYjtY4B{d0u z(VV3W+CDTvJa8$aj-mWn!MhG)GlIqBO=6c{We>4Q-6dF>8pEiuK|+agfzZR=knvDB z6RsgY;Y$Zun>&m{+jL{r;3188WWnhDGqJfhAT6~YOEkzK<87!Grx7&S^ zbfo`d(hX9(ckT1F|Mt@FcG>MGL49ozn|>G0k`fg!Q3#7D)c38D_6}l-o!hvTF<;W( zjkB#(m*kCC^riiYdjrUtA_$eD*Qo>TbG`mqr48Qjtg3UlgM`5I&p#h#X3)S{PQ4I) zN6_3E=7)WO%|WGSpMBN@;WB<39rQO^8|eEbMZ#wJ$EzQGJ`Q0rrkH(@gjz_6NRbuS zx3DH0Ve|LU$y4Dt1kk~2XlJp(TV~Ezh|e{Qn+j=}X`#|&0Z?OsG{+DAY+RIKnZe)K zQ!H=}@W*@j=FM=NydzpfNplJ-!~*qd(O1?6Jm*gRK|of5`m9Zgg{P#oyB7Q?Z$)cD zE$l^Dm&dT&VLq%)B1OM#YAXCGb42GaLJ(encoTVY*RtEzwWBKyKanlpWRA(b>v`sz zh(Zx`A{sVoS;{ooV}^)zegYJsfE&O8trUw<-0i^6l~F{_&;*2OV|K!~j?HxaN9 ze&}~=Qs67@8b=L;R*n3YM8yOqY7?SiX%@>P+`KeL_-#2o*%5rZYTWvi-!)kdO6U@C zS>U&>c>kGpU2C3}u&KGEkJ1eY<9Xf}eip+R^IxX~${3et5SS{hFgb!d z8eApLk0Y!hWwylwn!sqw5?O?LwKNs#lVf4}=AVTL+@6Nf=fcGE&xPutaRf!;C*Y=Z zh_=fTaF&Jpbu{}HSh!=<7w1g0{L`e1DX!2tQ(XutU>lE1tZSOr+oVsK__GCE$6z^F zD6@W{4SJVOK+KD*7O8W9qX>SzTS`ZXk@u~e2t3U5bG5~A9=9+@6$7-JN(O`4)IqG% z5d_DNQ4}WHm`~;3aZ) zWDbiuNY(``@w6#1#}0<94wY5zRm%$UU8Oz~Wa?(bXJdFw}JQX_)FamkWP+8QQMVSLUbZ(jv zFak!v2<&47q|ANrAy&;O6w88eQLNmWB!?g(2}h5yCPVCKN%8WTXQJ|Dv|yAhhZW;i z1fj^kNN8%Uc>_g4*0J&uBg;ZrLq@AYzL!{Yjv>p>BHPP?NF<>?THR}X$?7+*NhL;V z?JI?6k&4lkCUS2P(y)qRJ1TtKpz-Swc_KEE&k9woM`^$IwUR`^1^gHm)h3k>OS*)c z&tc-S%&{;nAP3bU#)imOZ7+_KC)-EDYQ#k^@?hX2xwnjLT%tV1PplE@r-{5(MI^r-+#+;;%VP8F;oSK=>83uGiY1wSH9Ct7}kMvvaRF zR!4ce8Ey{GK(fwJZ!yY{cQ8zs3GP2v^G z^G?=jq4E;32v6c2hW!f7N&W+H+D|Jb*TuaK$xqBR30Ex^iu!wrqaFB zmA$4}Hi)MQEWBB|di5%QXWP?KaSok~KraZ0bomZQ!e=3OMDiSBVRV&^YkkgQRdf~t zuzKWJICkTDIDpoctUk(+I`V~HZ;9^3NfHm1ONFm!nVOzE-jGey1P_MH-5zR9oa)RDa}^L=MVD?q?@n3ChT&F=_F+6+xJ^M?|4W#xY#D z)DJ*7jp8zOs*Xh=TBgi*{ifsapf(7t9b)%2XPuq zOAvyx)*BnX1M>1{B=03mOPo=A4kC!_{nq=~okaHBH#r*P+MeRI7x{dVcN?{lFvWYA zq$Mmg8@M?tw5CFtcXf0Qcb4OaLVXdEuznTUd;(&0G>nbj9Tw(Z2xG+0sN*tqwlovw zunb&;i7!b_d2M1RqEv#+Vo-EnF;?Wb1@UwF9dF-PpX;S7U~(yHa+a~olh9j5!?l9D z(FH8_<|`K=2Cuh&43`BH32CimUnLSMqZK@;l!}Te!bg^UOVX^wl8~CKxDG85@MI1x z+$P$uvqj?hRdA;ZQKxdS%|?*NTDE~jWQ)J6i@X~=-@xjyEhMRf)Tti}ZH&mp3U^et zL^}z?MG2Qth>C+rIcN_fXs$|pkNNde%>8yL`d4Ky)6sm5ZN?f^)}wO;;sZ-eFJeWg z`jnj<@!$AN`&sS2v>mNM zn^<@j2~OXDq@`7%GDWL+7siHD`m3i7LwsRlSv>M!O>an->E8mZ6eIez zWhU)i?`U~&Jyd+n2p9n)UiHP8snw z6$p*c5%5<%(DembgFt$1q7ZpTm9)hA&1tWbBYRT?Wc)G$%{X$#9P*AG|k-71>zj5zB(MEw4+}99c1{UY?VCQ6j}kOg;n*TxSyY0jt4btzUU|34%;*D?mP0;#xTtL7l>aa}uA29M#G z;&n%vm3=yh+ZOwKf$%9ql0ymWP{InZ$a70qk%w_d+FC@}5i3CoL~*xkO|K9F$TUS1 zDGT@vE%409A@&d%&oWA{bzGa)XyZWy;-k1%9U(5_D2=|-n3%vrvs8W2wI&3i`qNIdEIEx=lP_vW-amn|Npot<}Oqi5Q^P5Rs}UH>kl zqxXgXwY|}g)b*zHqdM0yNC-$kOVR`;-w837T-)e4#YTEU5O!N2Zj?W{{#(EGTj4_= z`cU$9!{dGT-N)aJR`}*Ozqw%^-!KAe5fCvb*MfJjIWD45Rx+~alD3m#v}r+e4Wj4D z!9!sLqHqkdTJ8fBqY34x7<5>!-r|CXXGd9R9fj1WLcqkN#S~gkg~Nw&3%7;q!nKX_ z_skK%OIr*$4i6A52W81B!wemJAv`pHUUlF=c%BXXZ(xn3IBgeLEMLZgPgYX0N;}AW z5&@NvPmv^qq*MIM(y(H(EryrKf0?0ntYHF!Gb?mA2n&M-PUt zLbhtDBkRc*A?9U$InKE(AVqSvmq9CaY;>l-4b$NF68Oo=Qx;&d=G1t}UF$1xu_{8U zFG+;l%N~p*VS(6$En=Ovu0sr6n?rayitCdJ2qWA+N_yBJVeA!SnTaDvNV*NO-g3Ex zYunbPOVM>r5mK~3yg>=Ch5PPDFzkJKC)d}iUt=#fJ90tWYmzW6p?YKr%QxaJ9y$TB z)l=2w@Ujz+g%__q9ttNBgKG$5rL$r7BCZ!N%n%dvP?&@%S%g@rG4&T9X7s)#Nt&}u zR4&45i3ThZQ$w1YCETl)%ed&o`mVx@KR$X7?;%npb3*T%-s1^`@5EX#DR1pj@8ko_ ztEaGfJ;}Q*@?X~J^ZYH*JmarHe56L4$I?YC9H)+iD(^vK0m5+PFf#Z}+J%cwg0-tH zhnmMBjW6S>2a$w1dvgR*w|*HCP_aL-O{9&A0T>hRM4FISL$E}&nsZ!&;=%<#F5H&* z02xMH5XHvRIT8+JGn%hh6!P7UT_Qc9 z29fI_sWouIm>-J*+QLJ{gRI4_hGBe~)YuGY$h9bh=MsWnp$a*Q@7x9!!cB--q(wG6 zXfrNUo0Oq=gq@cd^2`z-0=!Hr#?6u~WwI6GKt&J5b zLQ0C0$SI3_pJ%QIK^apBCTSL?QA5 zYgM^MEs#GJruM4s>|N-)`WMt6M%O%dWCrLZXr#fmNv zvrwXiEb&SWh`|HZxTefb;RjeY2LtqpUmIbMPoERNNPD-ZJm)+5MP@>C9%q5>^V+$VwxTARGdZB`gTlu_g`BFhna(df%cG(SwT4@%gPgsqXfwFXIxZB|=lC3B>!u-LTKCF@)J^6Klimfm%R z2lQ&Hz3sH|v&xa=(ph}_H4pR%H}vlHBlWb6(~pL@j{YOiEf7}u5$`os^ao@)C9X!3 z?>-uVyb%y-@-m3MGb~2rp79b3I9U?PqNS6tHdK;dbj2oA(BxqjNR#~dPO;!Q%m%Pr zHWYa;T72TBy8=x+4J-oM10TPWweE{7?3Ra03w{M7@A_-IW&7{KvQ6>*zRsdKv5>k- z>;TQ77a$9iw2`mPV3B=VUyEFvgS5IrJ`q@Qb*R{dRTfJku9R1nDW^(kl#zFah2=C> zWj7(XME+?JsN)iU`SrJ7Rw$z^&}Aug6>YX7tcVk9r$Z73C{I?6A_wI%v6m#mPDG&g zqebW`_MjHmtc3&3ii>TLhPu{E8ik0JCX-y0if|M$sP(?e6CtY&Zjp{EPh`qp#KQ3~ zxPAj-aDqOFY5Ftt4Eu;1;<$3pq25P_o3kEMicuRiy-= zcV5<k{#P37tp}!EC&pwOb#KK;#J*O|@#`s0F6(_?Y{yQrN*I#PUtw^qE?h3n} zErytj&1=^}i#aMmuXO4plFMi)pqW`beTOFKwqS^YmSj{&cDd@+SZ*aKCl$U#(7Nl;w?md)4CgVO9A3iZYKh$Z%;u=cAZOU>FEo8Yd z9pVKp0Q^vC5)N?$!Wg%;XvL1g)XPzhaBByT7cmH)Othlh1yN^(XK~J}tNdmaaPf+3 zQw5&K1!@VO#L`gK@6%jd_n{99nOUttX7V1E@qyVytG0l(rbxoY(hWRl;;@D3F6y$h zM1OEO8Z7}Ox$=Me7f$n&4;u@LQ&>WqR%F`{{f%;vgiG$NavRDMNordQN+_fZ9%$Q= zwxy;PWa>x@cdv}~T#@$=p?qHCD+niYm7Y*b)aQ269kov%&f^9~m$0~;tALwO71Cm} zK^r!8gk){xFfDMm#D+@O{A!69Tm%TYE+Q^U7+xd>B7Urf(Lx?R#%~_(qNV=4ob@U5f*}VdqKn^a!mn+*%oWh7}HRM9kM?m_rfF# zOp!>7$aPK0nC+!>D6-#B;$CSK*$+8TL}5%E3y_Rj&niw~A(kbg5Q{>})E+2Hn#btdb z*P=_49EHIW8yiEoK3!VExPY~P6`81tmzE~uRwxzVNU2XqaSiz{jtlZEo>>~mLrOix6KoG>%%2d8 z@k@sPNWrpJMvfgiPM@c-B1CqBOl`|n>R4O0Dn!pP%!!!P&}ICW`x*tRI3CMcHa)cI zwRU$Uze)N}zHRy-H@iSum9<@pE~&Kj)9UM*Ju$_T)%TKHIwo!FTvL8!-|&%k$$G9! zlw5v%`5_L{Bj`usm2=v!2y|Qj?UW##*B>D#BQSsnXtPcviatsrY~+$qv9T00NPiCW zhrC=kiiO9RyR*My`$2rX+``#F5Z+m~fWmzd}L8V1_G+C>t z5oPeILhOhn9A{14Ytr7fa8_Exl2GvtwePO-L@p_`+SsXhyYr9YH6CSA{WKQ7vhtH# z&}r}xCbIIqE}?0Y6ywE##nebS60gET7Q>1=D9mz88k_s?Z^r;Ue=byCM$EgfU&HMr z7GxLs%tKlo0hG!Lfhl)3HLN-L8EVIY>3~F|c$A9AA);?9%UiWyM6-xx#rhnBr`$=J9625)PahB0 ztGF6{;*WSI%38?{@cqAXP9W)x2`xSk#gmr**AW$_INe#J4IKzT$$sFH}Y2}r$Sxdbsa z9phn?u{xU@X&^w(g&AUG6tOTY;fAzH?7m6?!5J&aMiUKF#l2|UK7cB>6;fQNd^`*wffX1ZEM~WgMljB2dXfzdXP#Y1HQyhW% z#f?#|asj+%!+7;boST!QC))Kb*P-`_p^ficLfCgz@6!Q9ATJpzi+Zyta{!0TO)>&T zzz7%tBd}uxM4lDzyc>B8>$YnML2@;UXDM0!6%?jKt~m)YqE+fGNhBFcu_6Im5O;+M z@*)!#q}-~b;u#_bN8*fqsseJcEdB!P^D@sUMK|~&Sdg3b41xpo@w~pPO5GFj#=5qE zMV>r|#B(&zT9hwBF!D3wta-I=)gBp&@da5i%Hxg5Le;}ZvR#cX>0C}V8dxkI!1{59 za>~dT4M;g6qN5y0oiKNeDdd9#geG83EJ9GR2A9;f4U*y!%HxP)6)NOU9c-_2{^BTd z31s21DtmKu<-SqHh))#yZY^vA8FIRIF~;-0xo|PeBYTf@Y1y@1h>Eh?Jk8awA&a4u zJ$gLMLWV949f``}qw?4^bcmsV1VzqVY)pr7$ioqEuG3d}rcp2F7}I&=DaCJZpaj^Y zFD2v~$p%H_qe5$r>$pyZC@doLHIWgPnsP;oOb@9hTCs#IR71v)x0R)3d1<3oYg{DH zC5dYKlW3ph*V*Cc!sOD+kvApxO+`7XfgH!6(k|wo z_a%~B=+1=>#j z^iL$AJMB{h5-k#Sf5kWM)?jq!?LOc7N#`&E`5_QV7cHio_A~{d%jC4kY7t@!XdQ}lRF33tzT9pe zWYH{lrXnZgR#7B`Vx=kGn@H`QrpbHT7Gm?4*u2NBq>@}qN(c~{$2xagY4ScelZ$-T zmUp;K7OhvFHqswN2)Gxm$8%^jDo&#;3YC_?CE^C&ax0=FYfasi6h2tfzq)g6VXBt1zCA1u7liwR*5@^ zY!*aruS#IhlE5bcPl6}zM4J)>d8UY)ILjhc`9|q_&lZpyv~B9hnQ-9YL!tKclVQI4Vkloci&iP` z4(?M|NkPlcixe!wY|BmKFwAtfK)68_JHC7(67{8MJt$I07Q@%j;Far9{Vs?kJjM}y z-%x4d!g?O}w*rSaiVLF%yjuCG|LjeT4>wWjJ##mvnbaH%d1{ONX>{;~+?fbiD(fbMEiG&-2`S{u`Kq+3UONvp#F@y{h5M zHF~1MJ=22nGPVeEN~42m0IgbK(i`eQat!|IVZs#gk?Q4#n3Hx4?3k9X;E@0oKYB^% zNe0JKDZ@@`Uetv1s(>8Cncop%m^fJaUxkrb_8ari+6+QFw@C9^i)x6P!OgA2rO1jR z@J(0B&IY~Wpoy3yc+3JO0LBjHgO&@5Mp2JK z-zF%2o&pmfG>g7zUbKx4Ug*|q87}eh3&uC)a~FWmGE|v}B{pNFPMRS^NS>39^OZWU zX}7MUhZXNM;^L4@@LTto%pP0RLMHG!FoPOaLh*!m%x=U< zTLc7cGB1>tc;(fW9=TS!l*G4VQV9T4h?+g|zdw1nDwqE-zfnT30q8`Y)NJFB8-1rs zME9(u`1yXIACsfT&7j}pDT!tPW%)2CwSl!Arf(v=@$@`Md8@B1DoR`^_LM-h;@Q#C zrnotcUP|Ebo#e0v7ET?{82*<8W+d1e4M|$-Ub65}<=%6Y@hGp_M#4hgoT0K~v7LC;V>E`wKXpD(7{tVR$UzXVQ#s!ti5clJ&>i9%!SZ z++RKmZK@YChkN7xK&-T#_;e%>)&dbRtjk+w{}A8R?=p5kZ7N*6jGIgGvZ}jK@|4^+OH1PJw25sKy?AeOFi#BveO~m! z#jMM%k|e#AHO9oT^$-g0k8!k+dRaJLVRbNLro1y7g`=xQJ32)qwLaXZq{WAeIRfw2 zttsNpm{&-P;n`Qi#GW=@Lv$b^1}Yo4AooBsR*L6MAPe3$JAXjsW{Y~ zwv4O}fdIrlU_v#7`<+S?mqahdcY1w5O5aAEY{0Eo_1(0jrhXt|;>ZlQL&R*lHNG_C zUC<f|v;TuOBZBG{753c@bu`F_5UDR6|MQ&GljC1vYZD476YAiPU1x+Qra&Y_hQ zMVrf#A~yO(eR8bnuqW8}Es;GdsN0tkWf~bJQM7Pf9L8x>bW~64&00`fd-%E!K*SBv z|88PS)(Cu~TS|}yUm@z2myD2dRn54bUHsyNl2cS3X8+yw7}rmVu!gs@f$)}sy&hKB zbPE}haodg=Jjf(+cglR8wXw{ohyCIg7=W_$8{K9;H_YH4ct+&{h$mq-lSaBJn`5WD zJKkwRqAs{)?I+sYQQv+*TOf|=&#&}R(tZ_Dp)9~p7IO+FK?geIvEuq6M{Mw%RZQ^& zoa2cZh{LS2nXXdkI-@BDHAk5Ny5AO(n+La*Mp$s+T?&c4m2t41NPX>yg4Ya8K3@kG zj})A}&);E$HicqP?ITJuGI|-==1Tt+*KAz^aG=+xuZD;q&w&zXYoyHj0xKtCi25y) z??h#YEc?PwC(m(cRg_SKF@3 z!n@s`)s$%bi`=2@* z`vVM^_QQ^P6}+s$ov|fxXoJ3pDkd^hEn^g>J3K2fPD~ukfj9-f@u=p>b-4oXd*i=C_>OcV6>0bs}Dwj4~n)lN)+;B(gsAwU-BSs%68}K+ZZuc3H*|YMf_nK-R?Mh~t+TG#6EdLoE|Ajn>BJ9eqPmT>rLf$YF1upoIA=m-+Zr zPCw8IyeSM8Imnl7kVlrM4mesps#|eQyj2daUI$|k|EBCXlPlFDM_T5r4BDiAzqDDq@DueAuBMPSc`uJAW}PZQR1WHl zw%-J(+I5!@M=s0;AMph?KpRFo9vNz#qts(NRUDeon;EjLWeR?H!wMjmA?E*uMK?JG8G2SrjLd~aqK zzbuNdGq&*hi-26+8MWhS?e5zB!DCY{?f}d~zDnr@H>LM2i*JIE$n9y6iDg5`?xr*SOlmpoW(7tHGr-YL=yE|lJCx?ps>c^k8IcJU%H$gdA3pUb1g%=Gcu+4Ai z%H3TA95AhvClbwdO2(qdIFjq)@c^v2F+xysZPa^d=r^oKW%D9#HE_0*Nhn9oG|4yZ z)SQSeKKA}DiiROA*Kn-D>l7+vz!#5`fFiA-MCUF&>DzUnj$zMA5+}h-WuX799T(9@ zIU9spLXIDgE?*N|rV5vx&`l;CM*U8ti_l8nzYUM_a2*B@y_S$KAhXDwjxD12iyif_ zW<*3(#@iO8i&sH9Mc8!lZY-St;wa$gt5<%{43P_&(-CV z@l-hAt;IKkF!zA{p`_f@oKiiWjx8z!qs;xqq;Rcmq%K>#JVm1lf&N0BW~GI5&zq~H zz2G8V*-%`EOje5jdU#)bbjsod9 zYMB5C&vsOlo^;P;Tl%!$X3=IM^xVO}`HW%N7BhrIPYnq^Qbi=%POM>K=0?fommf@h z%52jhaV;S|p*X9%F)4bH=CFQQIZlQq>1)%poouy}m*PTpDZ~I-YnwZ@?(aKNX{BmC zuZBMt0DP#N%K7N!RoC`wPr)*d-G=ATjUu;)p>6mgjaeUo^m$i2Y%F8?T~dhmb*KBY z7Nk(I3Ylb5Bz0Iy*n<9g;1>!o@egSV6+8Tdk#|EJgE;J)b&*l>n?dBi2HGCe8*8D1yE`7g3 zv1@nBV-Y_%jUh1NWZi~Y<;I`PraPDHlZ8HXwdIAYnAOO?LaY{GVC?O{>t(yA*1AC< zJ)&@n4i)bx{V9bqh>hsVXo+^E`K!W=(;|{^8sCqCKRfWS{qH{topWi24k!lqchi&u z9P`3}TIC}v06R-!_=1a{JVL$mKvLKu3fc;_dO8!}waaO-hxGEK|Ls!H_d8h!g1zH7 zQeoP-&s?BE$wp1W@1Se@h!U# zulK%okK#?Xn-GX&^OBUgQo(fP}s}aq>jrP3=NgMmD=~YkxM*3o9E-*QQVl1955bVoO+zvEbdsZpi<;LqCR60F#G{|5LI$CaO{b z!^@NfkwHD&?5&6ZNIAiUutsX4?G@MR8@SB%pk=z#H{qYiQohY7oXBLdp)4SlWtBZd{Vu{;Y!J!QMotJ+vEzN)L!SF;g#lv)=gqGFYfB97ZyJqjDq1$6rB zp5wzV7B;UpRc_l!VZ*hE#*=YInm1t%e$8qX1W0kz66sEG=TJvl+iMn%@p$!;q8sJ?dEW$K`|s z96rf192AdaYYdw4CVr&}lTa}sfxxI{0U(@X&G?>&(7p?>Aj$GF`FB+tq526TTZHlE zo3_+2X1(rcIsX34P_@Ln&?w@)uPSKcbU^>eV8=1X8tsHz%}pTf7`FwFMR)HHcl!d*QdxK62F*P&)9q~|rUSjh-Tg*<0R0MrsX4JnL~ONS0WsYR z3G$rSzb)i~4w`gI zhHB!=bO~?X3QYoYfAR#p3N$vk%6II8vAOND9UgRUwUgHvWN%EGnq4uKi!=jAPF0I5 zXbt<`iKW>IJnB-fI7$Mg=Xv}X>m8PGDyUOm)ym;bif+_W5~|C^;mtXmgkvmyR@Fo% zMI_Cf18Eq&G~C>6aJX8WnJ|o|xD-;yCIPJ}e^Y^*#shUJmn#LAmFd|izVVSUF0L;k9>{sxL5D&9= zTq){14|oOGisVG3%>z6-$?8-9RT5Rg80cG6s+0dhudI3;5hyC>02Iwi0tl%|rQWcQ*)n$Sod zScxFdh;{bY$sT7MbPel2+chL|i2&6|_%|_}A^qDA1}TZ6K{~P3st6B zha7%D)ZB_ToTS#0I>8JT3tBZ#*jlR@f;Hw72H`T)b*1#>&i;H8)=s%i`a(9%SUp6k zYfG1ep;+Q5Ow7pb+ur@9nfG*lwsWnUzyey4NF4>H|N zd}Yepkb}Xpko7?wzKEr-M}~mT*1(s;x}lP9rLYrG`F7G}utzFsS9vIjmL4^!MF9FU=U%{VqnSy8J_$^EYy8*d&nq+UTbO2AB%}|D&EEuW^F!*vNeo0NZLl#b;VR%KP~c_Y}x2(@*{)8bNX;Td2s`MaNwq!?(Ow^eP+1znvK)HXdX{kI}9Wh=KFWPGTqpGEma-{759QDCZny}Ol-YWVx(Ve62dVU;XaX=Z;16rv0W7{?Z^#h#O5S;c8D*7B(&;L^+MZl|SNB(d#@`aDw_< z?1N}$-UPb?=OGhi$2!pxm&<(ljs}#2j#Zy*@UM=>2hgCfQ7AJ0stzbYulP9OL^cL& zZBpg*ZVVNgWjHl{AMBdM>Y_UxGjG7J2xoKj%Q#7z+lgtl1Q%t2g(dq7JFUgb6&^OY%l zFV7YIupLX@@ZBjn+!n(iCraik4wz4I8J-G0aF#%<65;{P$nylSexXxY0&Og2_X-yo zfn?p)E0}|6vOWi#IsR0~P}bT8JQ~0fziQqfRCJIvU#L)>D0ptb306qJhYle;v~>-<|!TF@Os}R?G-4!dI?iW z`LiS+u#MtbX@aAf&_{%a&f3GOsVl;W3BE=+DuhtV%9#K{2ED6HvQ-B3dMYQr8uBazc z?2+{tU$rYez#R4JR%n5vW@TTsJ)lHaF0&mAJ?XY zAoF<5AaQiQG6zpFM4plZ?3o&D3~0!#U}w{)rDngR#+~=akKh{Fg)!4c!xeMa(BNq}_V7>$0Lzs5 z+Jr)+vlBjOMv>t4erXs%4WCy~7SY+}`|MnVL1(eFmjgM`6^`G_B-e_~o{-cmVr%gJ zamki{-j#{=?woOoGK-c5F(l}FC3&o1jb^`8)g3NMZI; z^TyUc{uc)a4b<%OIttd!fFH#gmw>KxK@-Mq%BpbQ2Iiv#U>JyE2JcmNsaj*C1TbtO zHUb|g;-p{1k`v*!_a#yVF6UQP7}$l#_-$+f`nESk1m%RVH>cWNUdl=h!vmegL3l0l zc~{Kc+tlQ<&dz5n{TuY!gBrx}<6}RDLmLShFuIuotis=fw{TDr0}udvH{WXgCt!LS zXu=z~pibOy@)@I0Ok%fxT1Pwhz#Xi;W%8Sxgm1=aGd?%nA^zi;Dq_M0eu{k=RMU{1FzU@@1NmynJ}m z6ua+t3?LAoQ&FwNC6g&A)ys@gjOQdy=Px5tyDpiw*_ki()y`PSDK$tHW``7}m_hPdKA>R;U!);;}-^%UaGVY{A599^WW19w|au&d;ZbnLXM8 zOJNH`t~q$EpoNq_NdLf!SZ6>IIHFABVqd$Ks78I6|F&1xVvS^I(*)_CO7|x-dF9mK zJxD*4kMndLyYbY4Y-X=6yUz};{IrQhm>V>`My3ZD!q4l$;mvVLlAN=-lN6T0ugIeU z25X^Z;+-&BtiIG#QuenS10+0*KhP&ch)XpKlfce2VuB43+%h6qnbJ$#*Y5MKQS-{W zsMfRD4SjHqkytII-%h+7lvgy8c88S-PmM$PDchSN_Kr(Q@)xQ{NeI1K)emFLBU;g3 z4qauL_m>iHd&!-JjVMgzsk<#}xMir3f5I|KTF|;%2`jXQtN#GVgvv_sky^vEKo~(z zSDn`~4q+m14y8~Sq4UU;?C3egD8EpysLI3~*e^YD#(S&f3|1BL>DkYz+9GaXHW2;{ z84uaRC@0DY$|vS9Y5%6lxIN_@TG$ zc_n{8Y3qaZ;&}o&4*063zasb9-o!*!yIQOuAsSr(IcnM|sgTJB(V`amt*qB%p z_@!{Oe>s-fq}fP!cdge{agczqCZ@v-zku`diue$cAcx8)AtAQMFl`)|8?wYgn zdUPYz_gAVhld1I8^|+rv+ex&&Zj;71-r1FuY!NZ)weQa1BzD9UbGy0azuspG6ZGi1j*Fh|%r#-ufi z_4XHmMKyAX&0;&hL5;Q_W7Jn1^IX)MH+AAss0})mA90=dhhK|AoiYOxO-pd=oes`` zX1e*K+ZNm1Fd1)L7WFJ%8WV1KL&*)htq~yQLg}b{L$5|r<_b_Zc~b?H9Z89`A;C*w z-vCtF12?M}W=+b!Qe@}Y;FA{jyK9!_NQxPoK!0tXNkbZKf$7Nr|HXx2uR}R^vZ+E1S?=V%o~zyCCC+Y*rKHB2%q3TN1m58YBDKFsZC zM85>O=87= z0BaS7c`JzsQ0H?si%^rC5|<2qQaZt@5``~t3y)MOSAfG|38cwe&XsATX+U>C5_x0K zQ0q>&o?ImVzCsg?wnb0xWGX%x6C=`c=5)Oc=$1zd3e}SKKXiQa)dcX6DucTsh4E zNn`pEJej{YHI%$e_KDfAdTA)`bUKyhxP-xiOzjD%T z^Y-g%`3rKVP(}Y(`UiNGg*LNSoe6q$hdZm1-SjCgr6P@3N5jx8*rw9O1;awQkz%U~ zFj`h-?`}#3DA-la9c%8rg`I##4Mr+B-ryL@#+*h32T%{f#}le(Y%OM5rLB)M>ESZ)XN-O9l`QJ|C|?CcYtwc!UyJoN z1A+&$Hs89iOlnpA6P+co3@=o_qx8*k$)8}y!4Z0DjPp{ z#IY)CuOcN}diKddOJ%K9NA>|bgD^AgBh};PBifH8wqFKn4rG&i^Gxb2+ z^cH`l#a;fo{sw)c`A{St7O!0L2Tx8z*{KxLq~x}fGwrpJP=aY9br}ikptVv&rtk*# z_s%VH3OOwl2|8KRxI-`LY+;^=<+AD3e1JA!1=FM^%xkce8V66tfP%9ZYR2*{* zL+EY7!WHo?gOg7<4U3>!uR?V%YbgbviKbR|*(r9`wG z!zbV>%s`eDisf8GtK47u=-l27@0n^|no{HdL_q8ns@tgGSz|1?MwLqVjr7?cn!pFg z4-DEOIQ2C7^0io%;^IidGK!KzVJ8b>`Z`T-n%tCO^1iFZ2be7P%FD{Ov@Yjy6=%9F z$Ltz)G?9W*O@Dq;n1MZ4hV8#hDZCvXsH=VZUHS8nH!36G=smAcCMoN?i98B7xdb}F z6Prgxcf;MoExKQXY0jQDSr@F(bCr4s_I|fZfiW^>zSV0tvrQp$ZLd`g*%mt?BuePh zs33&tDLWGR+?vP8&a21`yZVV~1t%lOc%j&0z4DPiow>haA~SR=rvJcWCslXP+C_xk z(nI_FalKjTW&4rO#?y!)9wnDh*BxCj`GKdpE2f!ilLzm13T#tg${FrI{{aF)_hDfk ze#d45V%r4pJSJc^eA9&af1i+=uO0audG#bJ3V-Odkm_aF0s@jaSQ_GV+aNmp1 zh>#g2lnsc=o#f=9O~pJQzt1b{m2rLx?LkU>FfSU4RAJqXXyk5yPSL;d&?B&JP;q0mw;c^98)8*2Ny~pv1pg810r1xN9v>?b{@QdXho}WjZ z#|WK3-^WY8P7{VSzH%b)(Zk^p($fSd!WbgKY~8VaYE*jw+S!uy;!cOCqkqd(9pvy# za%%vH2gm;o*nGL_RZwI%1#M+((DH%idba>&@D)@%vt-z-IC2_m?>(J0nT{Jv7$@P} zFuH73i?Q-Ax81=A>8LDav}agk)lkq>irG>6>og<$Y_GgqLVDAm|{*g}WT=kB0mwya=oEBDxieAjh=jYH>wl9daRx77|1ODpx4FwH$TawshVs1AY@g*#ZSGmz~RY z`8|K{&>EZ1$osKC`-lkHe6!p0(?ZJ@@ZqUj^t(>=8WEHSw1#_Hx> zJ&94jf5=+9&N^NXM6PW4$t01x258%2u!pl4&puGQZER|1kg{2R7Jws1@MbdB^%F7Y zXsxE>ld0uKM{u@nyea#1JpOnsh%9&&DA>IFsT14Zm+bf{0rl@F?E0LS84&oMar&`7 zX_6WG7yc%!FmmjL%P$>3F3Cpe%hPc*c z@Z{v=sm2!42Si0hmEVkhw=YdZ8N~B9u4%T`|H40G&3i78xy+(Ob02i&@e1wD~{%@@UTMS}(NSme2^8dTd{Z*EcLH@!V zraY4UU)xdGlO5q>G!6Y*J2DOGQj*we(Il%TfgUwyZTmeXyU~YbfQW#Au(2~)u#xR` z2sdNx(ql2z9RIvWPr^X2{{m&ui=N4#17F{LBbb?&7w-_#{&cwc{fn6moU?Nf3tsgi zJp!du=6ii+vf8Z08#&cH>{nj$vweWvK!B6&bFtuXcXe`n+=FZZFSK|hwzy@s=z(Pi z(-u(^_5GRr!n_en#|oLWFGZ{R6MnzQXH)xATm5W6tk> zZmzv)vTv^a&}GBI_ooF%%fTKuS=_+#H*3PJ$<)kH`|)>c<2BxQCj&jVtCt;1-KR?( z2TR>gpkPf!;+^w-N`yBFCrtgU_hsuEL8V?R=IY%~P74WO@x4N!p1$47^@!*$9sroV z^ZE4mod37fn~y@-CRQHR$S>O>%LYyC%o`-e3Yc2mcVJt7-Q&wboRlBqb%$dLtQQd} zT2Q;mR%Vm`M-B_IhanN`b~a80y-6PZERwp7X622zWQe)Ngo^rcZ6JKJCrzfE3 zy@|G=nscM3sjI8o#1t(-#&`Z*HNNY13^GINcv|p&`YE{V{ha9&d^{6GPG!_vJbv)x zv|DbjSv51jdjWI$DMRa9LEFvS7d_3}pC*oKz8@9rwq@17BcY+8iv(pS9hf`-cI0Fv0kTxGH7FGUL!G9 z#?+L*OV<=B)HyJ9x_%Hd|KPKFx_;5$@!PrZfPZsY!q5xwZG1e`t$j~#<5x*e4D#^X zU3q&?)vGeU^Qw@i{FbN77>aI$1Ys+0Z$9s}OCN)~=WOb>;-XPsD-Ym9*;5p_HoaOsx?feIMxPB{e;RMu z*pBkW(-gGFrU?LZb53VVdR&-QOSoJ%QO4HrxgF|WJq@Z}fiUt4J+i$tWT7e@ue)d&Z_A{n!Yn@B)gNo&w}Dvk%7;s2|WYy zh0TXc1%3#;;z*$cxP@fo?4tPp`t|FW^PztY0C!TNDFV^kTKnPj;shF0J{ubwy6;|- zFC9M52g{W<9ldW)hP(WQs3YeMv`0)42V)V-mqK|P5Y7tyVX?7=&rjBz@ayCwzlZTh zk4TI>-Lr?4&RaK=?D+V2OUJtSBBO6$zt@=leB0)WXVl{zi2E;&ra}%Wh7_-1?PT=I{D(l2ni$2;Cf*E_$5^ z06kDi_iGS7B%bqfx>%ITw{_m7K03V*DK9}qHKRIsj-JcXYj@uc$l|s&hqXDR1uskl z8)>*py^q`ncoX)8GqRaFu8g<6oKBFM7NL6}Vn`e4f$RkZb0x42(O z&Dx{dHpq!L&?w;8b>gf}hxB-h$q$sc4OyiLH6~|{Q!M|5CROLd3ksG+9xN}uq357f z!#kD&0m{)u#_wsf4HNV)YEvmn@Cc8Zf5b5J@hyXxDmof|>8#zn+fD$8l&nMw={u{2 z6+Mf2m<1KMa4JkB3wocT;{*~{xw)`^yf~hFSTtAyeyiWU3BkCQ_z93w{rzOkJvk4* za$I*&S+3|hPw6%qs(fs>wHK-WNbTyUmyOa)0135g&y+<|U`5Uf_tUZ<%8Om_^>|wa zqVb;AC)-{~y?<+PGcykP+L6HfPjG=6v0Gn(cA%!BK0*xAoM@)(oPOZv$-+{)By@g26asMU!6vB&QUSy($z zX3L4Y?RMp86@8v<`=%J<+S~vrWqgw&Q*=D{cw-RjNOjct_@M4mVx^UH!5i=DQO0w~ zBtdNPkI>x6;~fost5wITud2fDN>2N^~;?ey% z9~8s#4w(cvp{+=d@6N_U)6>%x;-BL9ws!$qpJ`&lcL+lMcDi3T9-^PU$H?>~b6xAG zz!4F|nYVg-#oT{SN;b`CfvzptaI-83J$LfPKnnGmI*QYZM-$HD{8-=D0%4IuU6?Fh-oX0*V;^kyuQw!-+pHPJRsVu5t1z3!vc1+=$k%Bt0j-6<=;Y z9>9KM&E5ABftg=dlLeAJ8$F@CYc5U?ch^tAt|~ev=JmbN-4kKyd+FwPiHX%d5JQ0A zcWeK6U}+Rz%-;9q_4P;$%HZG59Ru5iTp8Jw8@tu{F!$JEV#bjAjTFEs3yEE$yQl5@ zC=+Y7iheiK8@=IZ3mT2OqR-*${0%_E6vk7CxavCVX=w{DgT@k|pj&MrG1{CN?sfg( zQ;f6$^WDD9?P;~iVBdj&B8NGJ3N>6i4~OkL>B|@MeU^V@4ysqmn@YmN-HndT{`6_L zzF-Nu#@R74@i|^Fv}`QlkW^>%pUN8Cs9fD`3$6)^V4~WnHsQq;6%|Rnc!+&G5wwHc z5}Ubv;k$1_6v?Onxgy?X3(hNdjAhk@HUGHcP6tt^VehQgiitfEwUdZqpv}Ur3BVK=w!5Dot}I0uQFmrP8M0BPM<-b5|Sd{iC9`r zPV6Oy;SJG4j~}+c^^l@OYRCUW-u>CqRGXov^sa*>w&?6L0-t3xP7?QQwq8gMZk8I5 zijRaqZC@o;q4N@^wqg&W<5SU7A4l zUVmxy{{22CF+{+Y>tfD!8VEi)3V+wSl5WOw6(8$Oem9hJC*9_KxC}ae1{GOH-WF~g zIon}EPiyi>vM_MM@8;J!&y6WUCu*sH-O^U;OxAgF(|70B538cY&w%xUaPx4|PU3G9 z1!WAlayI!qCzut!9@o{2f7Ew|a-6tF!d&`fqwSNY4Zg&G9ue=?E=CErfKNHU;QZ~} z6qdr>X0w`Z+e&1Hp8avb#xIje59YNGz4-F|cg1_P53rwp-#v{`Tz!Fn+qJptjstqRQ5uQn8v&RF?Lp0ebSM%fI{woVqg z9cr>Yf8^(i?D78qPJw(W2KT!fJ%SGdk6gN)zU|Z3IoIhqaBGkEYirjX7ho#CQ>r=r z#p70hn-*oq4}v2Aq)18l^|<|bmvda3+Wx-B!n?rlAK+c&N7g84joVw(=5c2J-1Efw zNOY4&w97r_xaizI4anKYgL%e`_G^eiye)M9MB2j$;pM<+eDG6>fu&mJXi3^$mh+0v zv@mFd0@Yo7>>`eVBwWJRV_I+jvI*BIM;+iH47=bo8gxNHL6-MQp~3d%YpN9wHxc0T z<&Aa|J_cjh{*dPmX}bzWIYOa9c9oy5Lh8d1qAPzQDU5gs=I89El7siz{aliuO5`kI zsI>jlv-&-ItgEWQ>|Rb)1u=7&$u(%)hmn?>yyC9%=%y0PcK+j?Gygff-g+0=AFaJa z&c$o4`Y&0^hM0x22);vP;Sx$DFDXXcUDid8shAyX{mis?K0fyjh~4`n=vx7SJ;A>` z5KT<(Z)tw~_>tuuQ8fFW<0)}~9Dhh`Unl^&pM$6ZmCuw0%xgz_zuP81-n&G~P$6bT_vSa?WGyZf#=gSp0w_%^3=@vZOPj)DrnUO(KyTG?->$6avb9=u^9J6I1 zc)KuGJ$PTMOKp+Pk+G*WyH^W~=3l=SUO$2-_kH=xeZ)VEK<8Lw+bw?>#HW~#v{DQooI7`};XRA9W?|NGulO8rvvN%W9H>gK)3bri5IoC!4IVq*ohi#Y z%E;1fbFXo}g%BKBXZniI_wjoj#GVyJb`eJx-N`*JLGoMAfWSqK!u~fh$(W#6zq=nB z>{TA}Ed)oj2as|&%l_=_4AMjgL;hlPR6lP1J>fxP$M31N`%e}V{VMR15R>(r!ijkb zm04%y3Qw}l{BnZD`b#!l@N(^a*gvufj)e>FoI$>O>#J}YO5k*e@TZLS+}Z_PkEZjY z)Q7`4zCaF0mbl!L!_V|Bd9Dl<;@%23qkX@VQv_r}SmmUVErr!Oi*eU6P9Bi!fp%I( z#@@2;^@zbL_tE(?nyZ_8;4)|dAVN-2u|0xvZb8RHk3anOKO8@8j??hn(g=uIl7`Se zc^R5(y9*Fr#I5#&&Akib4LKIfX?BLySV7xu!pMumNf}sMdPvG+a$Sxb#yHDZyZdQN zmh)40&2`JyaPBW-Y$Y^wGgKt`CmE;)wny@?Qa=SmEcs6Y?CcPF=qE1sQO9qq!3%Nr zKhpKpXLYkv8RO4R*VSB>SsCd@A`2T?P2EnmZ zM(9B16sM-!JY*m0yQeN6Z`N(h(N&BkcQZlR!V|F#h-jxk_|$pL`DotkeeG1zHmU%r zEI?xi5ca>!`7qJ@nQ&l8YchRWc-+qk zKJ2Q`%E-usB!sG+UIw+srv}X`x!djRT<6321cBRea+UX1$~c$kBk+kiVvjxDk$se~ z_M2goGP$0q@@;te(0;kP#C^0yUIto~T^Xxu0!lr5PJ3{pSKZP-#pL0|$x6k+xECa0 zAI_#H`m~;82c5y9>C+;g5k)J|k7T=xO#&$}g&+@B~X*<~1wd)_>Yg%I3R)mEh+|vb%oHsc)-%EH1JRsP+NASMn z5wcj*R_WOgNLxj5n-Tq6MVE;VNP~uFyFJsCea`FilE($+U*WE4!qwiD_n%sFMWCa#;T}@Q zKlRIOZl(|Uewx37V9uMV9OXs728icCl8yXvv z_DkG8QJh5a!Rw;P{ODkVCSLyg-_sj~{CZyGZLy<4@zpP~QhSt2ZeLk(l9o@0qUvRJRP zvsj+j{%!O*CNGuyby&dML z7frAP$-`StQRx?-=GrLL%4VLbbnX_NObFV$JP+N*@;kxeT>g#rnS|(Ol5OCbMQqnojG?@Hf+r@B9Y3wxW9AK)Je<={ zG?jgwz)d#F4x}a>KWbZ5-AHjYxZ%gFw14GK-|tigg2cyHemS;LLW|DMWghAEva7cpkkR*xH%wr{H@sfW?$r_%I*+V&T>7Z zs78fkuh`&FB476&@1<+91oL+3z*=fnnx%mU2+Y&8W9NK=j}rNZuAU%5Va>9ce3x8$ z>n0h}t+li4%b?CvjfdfPT0Vl3FjJWsI-?_n8Cs(SY_|#ZGXvg0Dd#^+Nly7SAoy_N zF1_~(F060!qJ7JPeXezB_v{X3P@7l{dD@$*mYV5N*#RM{3m)34gK6m+?`b9W|NoUh zcsMt2H)mU`vC)d3W&x@Yr~B{U^xuSDd#D^9t`lH|<|iYLq_o|=Uq^m0{4iR3Aq9uwacOpHfUgx%uJt^IN)0S)AG79%L`h zv25pWSxVSBam#AP3opAbmk@FJZr*AZfZVhbFE#Z+PDL+^bt4ah@YSHSM$Z*~c-Pwh z6)k;OfrmSl|J1G^y4Q}#9JOmt$qrc|KdR;X5$Lm>=`(SU^Jb)jiR0)gULKXKcR~Gu zZtc+K2;KVeP916}N{AdFeh5-Ra9ehiY~HJE?S^DK)e4jL?q`%TXVY3`7TcwdBMaK| zIRtHYKTU@T2@N$_9*5AYX2`iVgNXi5Ve5=Kw!@Tz`L=Dn{cQ?ly*>i`7iO1#Owa%+ zf|tMgpVS5G3JI4z7sHyKwsn`3)`ZTiWgbbA1{bSQ*inQB$u-}sE0LehIo^x?se?GW zyJ0pY2CrKFZRcw~5HR1jLx`{D_OIJg?}H$XtmwECmw(&Wt%gNm7H)=xozeT(9Xvcp z2hV}b)O+RM_R98!A^o_+ufi^=|6}*@KiZgG5|EDeG62Vb^WS#xynv9_rI&-!3dO&c z90k&C<`n6l``67*Lb3mkz4r`jvg@`+1t|hjREmNK7Lbl2p;sGH0!r^i1SC}H9Vv>6 zfYJ#iAV>?ngib^SrAZB;gVG5dLJyo3^?CO```zDnUFX;N^ZwydN|JlsYt1?4m}AWQ z6WP!I+>ZZhzyF^bvj4dq|6fkW%WZSS=Kc09rDcYy_dX5>+$FYpqyVF3;}&&Ea*6B9!u3x8&W zU7`-eIS~qpoo2!I!Q~6RaHU(fZdv&G`Q4G|&A0hN?XeI+Z1-7sc%bG6Sg2pz5D__B znwFUON~se|1jWB;^+Z4l))WL-kHP}B$_0zs|J(7WB8{g!cWry1XTyATDk(k%h4GOu z^zm68TKNuwx#!y$BU>_$li<90e&MN!0NdvDMN+eaVJvva>Zan-w|uixb~=8nbljS|m@Mt-IF7O#C@}Cg()Fe3rC;(K z_rA_G^6Jc0&1{|FP|pc}Y`mb+K*r*dQ?Nuy~!0Tb^4Iy@yq! zF5#)(vq@t9`&$+FmgjwXg{r?!B#KzQ5j3v8A^b77xOnH%Ly3c>@YBhC6=@J z-T8T+L=F-%289#g%lCWFaZSekZvrnBQD&}YMw;f_BQ#9(;O`1QvYnasDXG|IF$!0> zNz?uH>CIJk6fN=Z(x=Jb$;l0$u(Qcdj=zg}Hc>&&R%Xye~A;8AT& z{sbPPW=$;r1P#irIkk6KD_-OnditK_pKDb}Pb9Ctq&6mfIIaQV&E_?xXYLy}H)5EV zAt4P-wdsWaeltEb^X;V}50H*^_4E2zc7PBImF!sC+OKvxPlB8q3V(t%3-nL0zxYil zp`={%?>Z`+2qL9&mQ6g>zDl?o_4wkHPs#Zm>XA?d3-bApl9EONb`ml^wMo!1t_V6w zX>GEoqiev0^G?jzBun#I5M>M%{w(7@xI&Ks z1Dhd3yF!dN+bES?etv$Ls!+`}D`=)tlzP&v#yb-fZvy^FU8GCfF&HyufROV)`zGso z!IF`Yk;D40=4@{NqUvAN$?|~#x8(w-=>vB|Qh^9hS4(S3V=)$M92uoPbVE1z1nDWx z=itj-#z~(WSF~SSP5In#51VmGjR)6dJP=b`8F%XiuBmMZ8_O8vN2Ohpd|##oAq)kN z>LO*jn$9^nTH~tKhCHg%HT9l}U1%0nlyCduct|wVZ+G9JXX?xL*hjgoj?0R6SD81F z;>PMchnJJY9N?)Q!?qsZ*gZpM_d1;dEay^O)#rWVM4u%)ph|7hyty;J*G{(2+`egX znMvXU=OhpqYN;IIv1TLBNlt2JU)M+!cS>UqJY4rUSgyK`o{2ycwntDawYZm!dbzJJ za=eJP0^`w$SH}6yiKK{fQ_%2YJGe(B2SF1Ddz&*pHv;1YsDe~j(qH$e$dmHOlb(vr zdJZGyWk@%)H%Vm{G<>3(ASC$Rdj3Lu(IUNIGAS*G+^Dvea|3>WCe>lFKQE&%Q%##8 z_aRBe?UgznEB+jrk1hrKvxI}49ay6WZlDtpySBgnjpO=Tr3<{-o6+cok0`UlMa(R{6G{jbqyNcN|W{V>4d8%-e}UMaqg1cQL}w~!|a}R$qL-AsFe7GLAm2Y*HsP3 z``9hAWSB;NO@G7oa66skGy@J>Y^ICU>K#p_fr00l$1O zaoh+^k+_MR@wjh|X_J|Jeo_rm3=G-k;X-^*e5WGBeP$9$VZ!;|eb1&^yh$El7Kd$f zQp+66L?;f^M|?VNe!Iqk8EJ`8m*SNpd`vJcLlc&r#&-c>%7R#-e<}$|k0`>U)x;X0 zTAG@AG>|E`*>7*{BDFne>5v&ArjnK-ax`&#ge?LeI(9*NsU&2%ZncrO50ViZrGr+e z-lcAr`mc zBw0k6unLtGZO5BGo2Xlp_cW&8KU;t0;ZM?)7B(v4f^({pU_%jb8}&U`aZI_f=Ij!} zf7`%5ToCoZKx43$U@N4+;yW2c*()?C>%dwo!(yx^t)Z%_y0pF$ zRz`IRFc=Xv;q?{mw2e1G)E*o#a$>jLQ{wP<>%f0xPLUP}juS!DfeUMvjSZ{xZ)*_6@# ztdlmZ^B1&z&O0yjo09X@a0@h9RhY%!@Wx{X4vkjv3&O_db1ia)q9_)(RgKY>XNB2IpZrq2u)$JC?(Ul{C}0vOul# znvJlmANyQ&<1O{pUi*)2Jh;BMwy8;W_wI4E@9f`PbVYhL&8SEBRZ0MSpRa>lE_;xl6Y~r45q!jCkH)WTw{f-?N zQ|P*DrJZHb>w&j&K4yE-sV30Q?!7lN`kmj%Gm!67G#w|JFg~<`fsI|N?6Pu)5d!gq zUrzMJe}l!tangk%la0MkPa6Y0_k6Flt=h>K9~;9APiUJr_{O@*FG%lT_yg zH7G<{!9>2tZZ&Rj<(QY}9Qn?;6y(dmvh}~2>br>7+xO=_vT*W-o@e>u&0GC!rot?E z=JENz5sJ?Ur0R|X1Ws|Y)?m`7`z`n%BCf=<=8`Bs%Jsouz++a@)XNGSp{W@iQUE19 zCZm&CQ*iB+zb{lwYFSj%5qr28wi2gjs+?3LM+g9>jYPXQea5Z`F_6rC*P19BK54r= zUjP;wh+bU>NO!5RGf!^){1q;&-rCs0YBwl3mtvXh)L28yD*BxWKsYfNJu`*9!IpV$z~b{ZT;rMhC<6FXB) zmu0y^l~b~G(=$Yd3q9c3E?AW{9o2g`Ounzos{Qc_ML=5_N8sTzdDS)?o%GVXcV?Xx z)j6z|G2BpC2g zZCnf>S|W0fWyA?hcno47)tFFRPGh4S^FT*fox-b{N!Yw!(Y9^}hE9zqdOy5wI$HH{ zWo2c?rm^pGCDk5H!)lpiiNWI{3PZJ~^69b_Afn0GD^E=nQb??Cv~R(n&GlU%Bbsd)Geu=>e75byGo#*f zsTrHR4;Emd&3ZcD{d3};xL(|2)0wCFOzcJWbC0e2jC;?$m<lOQ<-skBWLcD$GauJKF(N-e&e3rw9rH({teJfBC&zUiI%x>U6)34H=Rx zN%K4H3cjmvbt*{ZET@9LvTt(PmFEiMWYqqOiOVnfcoGh$)Tb;Io9zS4`8jh~oh{lu z2*=Gt_$hoUae13Bu+~9tCRR&CNWF49x++I0>XNOUtd+5TZ}J`;gJb=AOKD3>OID=- z#~2J*2rkv7Mvm>yCgpXcCuNq)ljri|$g1sM@MuLlPB239gXLM`+xW=MIU6$Sg}&Eu+ou~2We8R+&+G+MT?#(89*tiplE0c2?PE#imb?O(&YqABGi|ST3jw;l# zQAx|F5y$Nq#Nk)QEoxOjFIWsdIRFsUk!XFM_l3{HIcWV?m#ZdFxoH_R-}~k_C|@Jds~AKePloIg{|?$cH_hqELjEo`W#h4o7~ zO_>7~=AtmVMxDkSmyfav%<4dFi4goqh=vH=`cr5;S5T&Qmi0>Tr2UHL#Dg`9`hI1yNt&duuZaA5BIU?$cg~+Mo@=N6HGjYtg?q4iS64C$k4kRfwkA~Gm&+2b*9Nm zCk$QbEN^BuN=&=I74wowt@m6dD7M70PU#UBC40Hm63ubN=thL#GLkgZ!gg!E$09~6 z+ty^bs;DL|bSL^`=!;>H(*(=jpSgP9tH}WKmL?kn>@nk*YSRdHa+I-IWK&hcPayvP zMnQKmQKTU@QU^ok1~qMNUjtcr=;pVJmPHzUyP~w!vv)fo%?sqmCgrFBq+W68&aDW> zFW$-{dMXE8G1pfw|E|iOE9{+emYpBw2b{y$NjR>_;I|;vVW}YmF z$x~X|!m5DuHz==t4qINX#TD7wb?m8Xo{ML5thRV6h~}y6Ih=XoBMVB%`V$D8bjNHL z0>Nwd**Bb7P^1$%E6U-!R2n+`tlYX&<@-p_`$(}IxGjNR{;;G*ZbHPWb+N(ifNN3e z@Pw61(oAX!b?Is}_L2P*$T2BcH*4oQ?M>~2XP~&+3bwMST>K1Y!HB3V=+njtMRWD~sv5pKE6V>|#wdQgEc0>f-7jp$y}fN`aC@DL-0`1Z7{ivUIHlI9aCCISwU zU{YMyG5W6TpGN?v=CIi*z5|D9oAVU#cDV)RPFvl-pjV!h|Jn_F+(A%Y(F@OG`}-NK zbc=->RfQY+)#V9WUPnM9_$@5tWaj;d4cHuc&b-&hTlHtDjlKfUoi%ay%X{5v-dl=1@sr(i^i0YUEz;Z2Kl`($bkrw_sjmJj^+r-M>$PW`rqnbn-+J-3hXF;v-^Z}wt zv&=U6a9PE>{N%YvsYRY*M9burewh_e+s8X!T=a+Z`2yCDyqx=VLVIccaE+d+x7F>T z;H%WRi|0?Pram)m+ur3#Ae^1;6#cvHbB%+3?2cj1m>gG0V?%2A0mk?YDk&!B7ngqd zlyrX<;0Wqv1i%7*5K(ylM34ycLry_~k9J27z0Cj-QDPu6Fi(?u+4h5!XXDX6u3`3x z$B2Wt)~&Zd+jH8aD2;mzJR!AVmhHM);=77#o3m8g2V%hA5_=-jx)vPITNH2m6NW*! z{e^MUEW8`%57;qY9RD^ICA-_hHf~g9<;TLN85`ZOZJ=vK9QN!YgZTl^^31RP-GNYJ zv;gH+|6~0&?M+dEz*t)tO3B}gI|qcG%ihu0rTKKl5Y6m^b8QRyvK!y8LJ>11StlAv zky3OqS~e*OWwLT@w&-iVxBl7las1sE&~+acnK$4cdILcOsQ$$>?c@C7UPf3osHzft zRbI&H>IaZhRbPkvff)wWr_bL|z|3nN0Y>%xOtfZs9jhE~JEm4tR-oo+{&CT9Q@8gI zxr3!xgVCtf?t1CfdRLWkkSFCtS0lv76Qi++$zYmNz?{ij$+75fm47v(ms$H1>&J%! zi~&p6xr@6XH9jsv>9xu57glI?kW+;ixU#Mc6dJXaRmuvLB=v2GbZ)h*7 zUyb{2^Oo0fKd_u2ta#p;bA>+Po)+F}Y@e0b5bq%OxKl+47j9fD&#Ip-yA*gC#98P0 z{U;X>eK%UK6AXGAnMX>8>pWLOMRsTQ0Oi>i-xPRfF3)Z5hTvR2vS_2c#f-+^wD*mR zq}&?^^w*~IzgcT=^2?YX>=?blHR*#g^l6wJ2$n^y)qsoWAae!FXdHrTntarBgS3V! zH=g1zi4%0&l;H?q2)c!TA`ppjEUT**i3L^BYoro@6@@M7q4#ybZU%GdV#Z_q84tPG4m)%Z0Jc$BJP3AHqffKfRd$3*Pgd$a}7<9oZxtVs=PpI^l>7E=-6u?k7R@6vSF7hQ4#JdY=1&xISiA%8q2O;ncq11bE2`p&~J7d(d5>VtgSdY-?3>k)s)9cDDPx zB9ZtfE+Nw-5s>&@1X4mFG&i7n4>AFZGh=N`ZymUFgOaorAe5MU=asf?g{m-G}*q{Xa0N5#vE@m+JAUF zwxK+wGh+Ak)fwA%W|YR4Y}vI>Co}E|PB*r1OY~CI%B>6wBDcLQEiLP1Y6`B)m9tfY zy)9C7D|yo8CRm6D&e$GP-{rW0`&P8sw-E^yMaGfzoqB2q_eSpA{<{VnER#OY-sWMr zrbu=iSO)pXU~IK9{e9_dP(uIwil3yWc}Z-NoUjmrbr4Bz;fLR8ZvU*6o9!L1ra$u9 z4%3-(1Sx`dlV>-J+ccPW!b@X<}VokKprPrY5Q?*k0ZWtLZd zGIV$aYw9bQO@rf!wDA4`sEvwd;XfC4zY#>K_icNCEdJIW+wSx0R$Y)V`cPzcA4OwQ zOu7Ut_NT48B#hO*!Q_Na>1?|x`m@{ZOaul7D_!nVHGCxWEo_!QoA6=z^1q-J4d_g; z4pP9Z-^gVEs9)|(}A9kOj`9N`{U}LJ~w(^;hOH!w=jIa5ALa$;q*PQ5gM81 z-_qPJTm;p}8^G(!Y*94Ax`^$Ob++C7d*^hu7J)%Xb4ZJ&4yJM*+@7X{x~PaMdj&4%rJUUWBmn-=_?jqEdDFY zB*i7r)?0Po^$|uz*WJj<<+78%cyh>^s zPr8iDuq=tPbe9>FTMq%tOrZusZr!SmHD;Fdm85VTqqSR;hHK^3sTLtlyE`vWm%0xa zd>a7hl8z~(`#@;1MNq%w(|Evv1Cd$kASY?qhyXm?0LcHj;XH5r;(Q92_v`z6rZP2m zR3G{A44(RXiQkb58G)WNWu-3~vvap5T#V^wU9>$qW&ZpD*zwqlT?LgQd}26!8aqI^Z~bT=8y;__t;F?;rQ!dt%Y*Ql<6u?}GpDFB+u61n^s)Z<@>1|MgS- z^B(_Mx_?{0|190V@8|#Qx_>{q|9>4=1&4d_@Z0}7*4}5I+S!%Q&d$mR7H+X<>FL>E zFft*!`@Yd_!KX?up4e`IS3NJr-IX1>C~jG029 zX4v1~@7_s#^*1v71YzcjN#dJ-0>$04PaPa8KdL6&Z!@AwV!U`wL7&POF2Wr0+>zS# z$e{E(7|^5m+?iZyh;F?hx!TTmd#Uvq;(_KP%ZP}G>@Kp_`YsZZ+mU~Xm$Gw{>nlt3 z-~aEi4)Aw044eWBW8Yf-b-DjN7XDXcdzT6_z<*xvzZT@rzy7m+{~pSIugtqt1qY9z z)_=BN^OcfT?qq!+81QpF+C&`dM_rQrH5DgP0vNs_U?rYvZUBZShX}~PtEgN5bCLg^ zkk{bAoRd9&=Xan;Zzl(hqkuXfI9`f3a%`;@bZXqohKP%Q+pMUpY!2hModh*%IZ<(D zIt>n0OW1{f%R|4hLXb8I{5%w5LH*}KOs=efqGZIeZrK`esA2w~gf}UpEnxiLaRq21 zv4+l|qj)b9|5}0SR4&CR;0^5C;|2MH3a!rl?|>vd7Qm$Vjd9D7-#>4=Z$4h{P1V#y zR6Oyrk^ik-|Gp!iNqS`^rXSW(U{GEF5GHCdA2|#ZL42t%Hh!O3w~Q0ew;q?}kpB%# zrSp>q9E?m1v)UE>B%}fc+oXoKfGy|^;~$r?`P|OKET>NIY z!eygQCMD!N;lDEkd}a=Xl>=p~z>g~i)G=%l&gn$TiQP;>_0KYLDv`h#W>0;y|0i51 zJOVsrQfI224hVY4V)32xWd^CfT$dRXCjkqO%G1j6k*w+AAbBf5MJnhJvEA9bFwkH2 z9cEW+gm(N=(1_Bzed)dkjoQ|B9ZwH z4-n79tk*omJibTjYIV+7U(9(+G48)(GUB({=>Y8NOSQXh|0*gS+KZ~CMP9_9|fnXg@1$NP8q6!+Ml z6n8A!m*bbaJ_9>bX{>a~`-zOiAUZH`1hAL(A+%y8lCHCZKpl0#{pR$av%|ScYFs*# z8cTkKc+wber! zExS2}meALI(e^M=c+9DrUoO>JD?y-?duIez>dTYUin(O({sp3=qq`bO;1Vn}om?|B z>qNyUMV6cytFzL-;&l1p2U4N&9ZWc0Y%b2n&Mr?xmZNt-d*+h1k!e~!Yx#iHO*^=m z(@$?-%W#bfs$Warmw%{!Dh+UFF(mo{o}cVMNgP4Et;qN{LrJkZd7;ViQE=2UQqDQ%PCPK#NhjPNzAK($~VBHR=`ZS~PaeEOdZ+OiY^%(zm48X6hNP`wzTM?#O4DFZp!L zEQq3!-|J@hlgNdKsu~*Eo2r)MbBoqnx^|uO2`-gq#N;&Sv)rp0 z1Wp9WoZ>kpu^hC5n!MxLXjWTq@TjlcR)|Mmr@THpJ@|!BaWmms;WEa${7B2G-CA!X zzpf^1sH|@K`xj=Gt}AY-IXE^h*#gNoljiG77g1!yZ1Cw6gA2p&AjSCNIjLf2XXiL- zx3fUz_;53uQ_E$oV`37JXuW`GyI40BDGjFBU)qE*E;az|O*hc9+`tNs7|YvzM$Q7p ze3K}H+&Uui5urPM5yqg+x(%GM+*~}&9mUUwWOqiV2)qw>tI!0&Mw2E#R#V_VZUE}5 z)|iH8agw{HF3zHE+~SXLz@r?~2j?B!-kpl_4P3lMROz9DPL33tWXruQs+nc&@&(Cl zL3g!q2Pl1W7Bo7e2>9Z_%A1xgS)GW(moS|-Xd&3G`P#70W&hy1ahG_IgL zx;%E-E6%mJan&?j(4$G-iKCj0w&6g(1C#5nW2+ZCvOJYw z1sVM=x)*8awsmY~s3` zxUj@veflsBscxN(0M4g&BE`M^q}fq@kxNZwwH#GkaUqxW=0tJja2l{A~17$EB4rFohr{dp}v!LWkk=D7%wbcNBK#vNH-Fj8kpdSXvK z)<7zDE?QNnlt!qUb3+6Sk-6LjZ9=I*EAy!^9EX#Xwjmx1y16IjLaENx!{3hBmqTmq z*B4+uM2*rG{BDGX+O2ejpT`G*$6a=}AznSH+`a~CMFCqDNj0h_Qjhb#CICUTKnu>4$RPKYi)}wu&YX1hHdGOu?Li}^9 zO{5JuU9aLZU8jI9JYrvNw9%iwoL1h9-_MQ2gKld(Q67yY z-4XyIoRmWJ(LSo@KAXWrqra z?c4czo`hM=3xuq&qAh79ThM+mts(5F5b$tYGq0wmq!nZBnIl@9u9JJvr*tzpa+-r$ z_@V5W=f-Ik?UV($Qn7nq(UF?sXUL&F6CNJ5dLqbu>*9FNUWjyIH2Ng7zoDh;L;;>O zF#mGya8RY}xsxG{I_{|k4ZaeER?jNiSLGyE#OJXw#^(No%s9!z5!3@h2iIZ#gr^h> z?yzylI@$Zne&+@d5__ZF`+Hv-=J)IG-8$H-`v!sA9?%euGbwYY%4} zFNFpoJ$ooh4T+>(P#Yugg=pj|=E}|WAE!h+qLBB~9bJT<5zsvEvaFSus;RSq26L>a zc9BmwDjS!*N0g>aeT&+0?B{o0D-I;^bDj8T=t<3(txA12&!E#>GcbfWX}wu{rnM#uk{2Zw{eIq0P1)cBVTuZ7TZUnwnNWOG*MWhVCpKY zuzS+4hK^q$kImwRnhwIx9^*N&0B1^dnuT5eO2H>_{->lccF6#PE#h{lq6o(?*f|{3 zPVT`nX=?HYz)Xhv?K>B&EZs8?ugmYf#^$K%2SDbshS32rjji5pXN^ubWUQBhyvHUN-;1S1P~}? zSZyQ}ZvHYm+F()LS$mF}0tTr{Ps>ik_1*l*5AcM6J7*U5{X4&jRQ&L}$kF7`HCOUu zt`#af=elP&V2`bsPmPImuOyut?49)rfS#vWIPd(nzYsMan*>>cuIAjPM6jXf@6>0x}bZ)M0w&xD?;nIylApIKs9$8 z{lm(F{#$NKqgyA=9`ikP$Vio)!;z&hWY|zFi$_4QB>vQ7fZ-%=7RH7Cp(g z;#(niO(M~FU>23=-_t)2XDdWCt>_fd;U@myrELOrD0!VIl(53?H5tS^lHG{!XGsmz5=>MSKLs`l@Z->`Z@zT~ zXr@(<*$9Nl1+0q{+O^;-h|w99srYouJVkAy;y624|pJToOlW0Su+C%Le- z)eHe!;`yHK!jm_;uZCQzeKaFqkWR_9^)7VajN0C5hQ&=UP(_UZ;+nCf0Cj_fT&!$Y%&RJeCd>0=RHFeeMrEh&^zm7|7gk{H(?oCDCQiz+_>`b{ah!PC9zel zH4P?SKDy0m^esQq0CQg#YAwH@uk*=l!l|j>^i%V30lz}7LY7?l(VQW|MmBvq%C3ew z4aw_BKq;%UkC~DmGal+u7xf)CWK5h61Vm7bUh>ZRkKOTx{mq5#YTr+@x2ot5YW&60 zi-cSx`>*BgU%U7dR^&8A$?-;Q$E!p8~8@3}v8fvNM2DU2gqN|c=__iI(Z+;Uft!?ZH z4o`|tUTG+zW?0O~nRMcCKoqt1lZG3{KBAVkfz@8(!*x)yRjLzh4FFLp25mS@ap|kP z{7u`aXetEdl}x5nXC_bPr1`*})@Vy#7m $TZGbqvj#&1GH91Ce;_Bbnz@H{i5C) zFv3*2H7Rx$a9e5j3F?O{R-Uv03YU_l+i!EZyNLn`){Fi7Zkdk=ViYm38{{Wn9{Ivh zYL%Bm7JwdVi`0K1IHV0Z{3>7hyc)6c!%nL^!{rNxBLI<8DZkjTNMTt!nJ&V^nWX^z zm<7`d>1KabR9*Bl%mZ$vc5{8>TR~grs^E35I}7R$OL)#-)P~mE_GNnqf})|!v+u|g zePD99nSLY*8PlNF=QYo5l#F8>>^t;1p(t(-z{A{Sw6`WXUK=T>rTI|7KV|V{VWg#O zZ2Itz{F{ECNGQF^7rEaDQ&SHJyAtjZ2Q7~uwB^k1t4l9e?DDyNQHGrB( zloHk?BzI;sOf#>g(qk|I%B)`5 zg0MaRU`=gKI`xaT^nH581z)4N)8wb{lHHO@%8IQe!(aCXO)>ogdz$oYyUO%XTlkTb zrd*(R^M;gd(`};-hj5yP%>F@odoL%fQbzP_U_0h+L2N95Nd|vl5`oa{`N`$=J%mtT zu3}RYD;8}nCU}qE$=$zWc(h)HM&96PNWXD0!^RjO=8tqX;k`2p8)x zrLy5iIyCZi<`K8>D$d;rKYs`8bRVEAUQqLD^wUgQ>iW{=n z{Ei~-&S08t_1|eXwU`SkU_7M2XqyqE`kh7?8L$31wS4z z_nhh_?29VWG%G~BU}d76A@=gZvnSY!r}5%?v1Xe!dkr(yGjXb#<>>*PisYk=pR|@0 z7L+9`v&RfSU||UJ`gEFf)2S0#~1zZR@VyQ=_=bpT}!T4#B4fAsD|p3G?zG4i#Sf zprU@YkMJbNV8S#rq8;DtEdX7{dRofPHv$%nY4Z6IAeaxVgkl-In)rn&gs1j7sXdvp zVHnaIl0{h9P%lzUjIv@}++AZ=S->ZA^%Yb)c*jgsV#dmbw_u*0)u`I>WOQX=Gjnag z>2|IKi)(1>5=Uy>VJ2%sK<~|>BMtl>{-C|zGndq-<{HLY7b**xDpbfgPLBo@2sT6_ zpm(mTIB7`(x3rAM8oeowSg9B3f(Yi%-Ui+X6a2>H{ruI>;g*DPOEoM1)|HuVQ8Jq* zFT0yRYomSgX5vzg?YPg!uoSV?OQvK z7NGc?Giv#z3zXu)eSNgZ_^64c#EsnTD45>0>lg-VZgRInb2Vq5!8K5vT@b6O&*r_6 zo8_2U?rrb8XWV{_^$V!#JK6|dO_(fkEIa5FTewwhSlcuusDBO8nj@!xZ-k#4h(H7N ztJL^hdL)i$Cz4S8T(Y0AZdbX$?eF_-3^?)^A++!k2JsKs$EatWLHo9VAzg!=-Jfd0 znjtABR64p}959~diY$Ov&l@&RrZpk)4FW zOf>>us4T|ZgsIRma62WyKPwBNVMbOl{c}mAoK0Dr7B?2GZC#GTV6!)2n&t`+>2@iI zpOK|flNrlk8?UXLyw{Sja1J?Bmm0MIe|Jt6CG{cP$HFLg*c;}e1@YE7&brW&oC3?B}wd zK<2w|N}pSp_g)42;wxp11@l>pUq2#0T@H0{C>%e87iVPap~_jT0{or!2r=rwHf)+K zJk~;CN0x)zlo+dTT7Z#U)}lV5F#G_Yo5(I2HVq_v+#b%%9!5&)PX+rGuKa{A;nb2U zYinSQ5ihn}=(FQ|+rZsRk@BHioj)9=Xgrx!B7>?hfhcY&<4v6@e^vP2n~%zCFOi*zo`n{yS&#W zyjs~6;zpkj7Axci(TMn(h3sVR=~nE6wU@rW?P_%ST$B%()Tp>I^QuMe7yRVMO170s zjw?W(=n8H+2XR=W^sYFKS?S2WNL`exT%`t;%N{{RC#@`*9K^IAaQ3HOfaqk~K8o3} zlM9p_>R@wcH+iSw-?(er3Bhhr_BG}Y7~UYC;{g4awZd)-_G2l^T;1gTuUeY`+`QQz z%~5SK>`MBf*W?gV(n{rL>VA0q6gJ%N@3g#J{O5ia6`4RLRAjLwT+nt7 zM_U*FGh+Ss={NGWE$j-0e6)8wH}Ms6V`n)Q7xG2i-5Q!EDDy9jn$nQ$FD*2YvE!P& z%f}+s=x;wYXbM9dX8S;7tAG3$H7%@TjDepr`Dhd(=+deA&G2zHw^H36{m@;WcN$ID4cLlxsA{V1PGvde~fx&=6#oFLKEPphT%SPs#x;j}2ksg|_fYw&$? z1pNi1Z74|1e#L|sblAb!o8nYVpyj^R+@I1cNRt7ufYiRP9qtl^O%FLGpEJdo1C#Tk za_bK9z$3qdMP%{W4KlkE*XrLlzjEwl0>Zoc*tWMU`FuoX4)FZes)YQC0EM#02 z!4(>eVFJ*KLQf~)Yg-*=E5cy&naWtr}Wx0^NL!T|_Sw~Hu_Ew6jSDO@3 zsk!uwWZ~!P_Y#aV#eVY+dq8}>#?3oe379DIiAee!nu{&B{G{LEyoIVSjx9N@*5`B; z$z2bK2?6rX3N^)!$qm;F13pFQBcI~qJCgpOqhPvRp4+b3=eSr0B|PBeeV8j}fzQci ztwihi>O*U?abXpi?L5=#XD}K18xgD$O^qqXD2z6C7?dn!)C@v)2IFX_1{%7^i|MT8 zGd<6tHzqxRxDI~wfg94Cn_dH-?i8!Uc6hJ(O6{5}>Nz-}X85xY+3E~u5W*(2kegBy z`{_Sw_RJbu$$dvyBGzTyoFF@(2n1XwMF zpdoWzwkw9qP0W-oPP9zouk2gU<7p%Sp)}X|1(b49c{Ue9k3_ zownklJjEn%D%<>>QlBf;*0hL*Gn z5ORyPAZXrZWnP5Z+i!P7pRd@G!pWv`<%e_Be$c>ZZ9h5HoYJt{j7jfSgnKb=4sKUa z`RtD8Yf&@aC%w;7?Rw`F6+atm_8)o2B#h~dB-gWl6m4AoM4~%)sc7Cz&o0~qdK<(2 zHagxfxeAf20Xb7;W~&f8)OJOqvGHVR&+o)HCvDz**#HMSy=_oFw6*wae4y+T;ZlU= z>+YHLjoP|Mc-874GxqEJo0<5&cZP|ae?-I&^GVMj4tO!YO2>YO)Q^1c90be!5?sNk zl0DO`s`}|qMvA)8VK2B3D3hf-tk;`9J)c!Ibu6J0Z7@SLpWAOMW?Vu#?8R;z$cve$ zR~FW#=``T8bs!K!eDL0QLy~@#)4}!Aye@Gxbh^9<7+viNi;m9XnOIe7u}YTu_biou z)IJ9!zGE_Gc7>J0sX9Tt^7m*v_V#G-@QY70s?yA#n}2_Id7*4Z#suL`PU!?x>ANDp zM9%)ZqYUKmn{Zkkt=uE1D28r}Fm;QJ!tKW%nAbQ(98I(L!(m1pE{PtQ?EFgIXJjUFyZj2eA$)zIgMq;2YP`TV$=0)BrSCKJ} z@>KjBX46&5Rp=mA*9yTd^PRC?)OZ;5wb)n=qBJ}K!O1*R2xLq8>08UmHhzz$bI0@f zo1XVX3^OOqxvs!kW)<VrYl=A1+u(hOHJCIT_VEef~PyZiI45TZQWke9I0@##DFx zcqeGAbNg?(eu|N(S^6--WzX>Y+}%8NZHG2HdAPW79~LIwiIyDyNzUX&(&}$Z6dgzw z-t=yqPFLB0YT~2f9W`nkbzm+Mr^BPU z&SaLr;>uLGB(>v3|E->J#J-C!a62ypy9Nq)6h@6&fT!CQsM8}nZ%H+VX;IlTo}1Sy~oa( zYv1*=wR-4Bm#4x9bAPlL8_GWu8d%-Lc;4Rhp+kh3UL8DWQU9gpd zoaRwzD<9-s&C~ZfkXrMM1mil5fMksoijVk(IvKC(jfZw)b{s5s3l7B0yz9wMh6bRY zC#iURrn)`|OxZXqZ_sW!3$NC8KwXWJ5$RjnZsRZZ^8d*j1Dj;}z--z=`+aRTOF71# z=!Di{(Ny(D_sHk+aqA!@D&D_)h zN$e%UgtwT(cwociBmITjw`dCG>7kT+&E6it?nR)cCOK zKJBw+CcQ+MTolm3OTVO9msG1_|A=Z>XzLm3!5>|mT+j!e^wSn`ojgzZhp|IHm$?(x%UOQ;@1n;%%fGK#x5gB;! zb7wxz_?@#wT%~~FQ9@!LIc;6DF*>Alrm1O}wPE&N%;vv*mCcvaCu*+!m1{pZ+YOzc zHVl0f%%B|3JM?Jm>uIr_JhnB^*Z5H@)5Q7QTAhwz@%0L5z+?_>cgEI7PHwb0R_h7d z$xd>HJJjbHtd28l9lOHB`pHjrHq15DK69!a_uMn2KkV7qX*+ERdO&Z*_43$asP{jr zN_h~Hck>rAy{mv`%qyk}%qvrEnH8!Wb^RfEy>S;vudX9GJ^WfoX>-wNwFRP;0^I;? zG0kC{l55)|PTyFnnkd-5hJB$R_Jyz!vu^@KLm;RAANJldF3WU#162l;5Jg%AM5SAi zZVaSBQaTmshL=V_MJ1FJq*EFtq!p1=5b2h9r9ryktOvxIy=Tsz^YMK6f0+4!BJcCu zvEo|Sx|Zikrfv_2cpE}l)8iiWwrX|H3|@^%@^OE4Y)j>H-Id14^;=IP(dSkQE6ls* zwTz+z`Kw)=&KdmS^33+=`_qHg@^EM7AAZOw`kuj^H*UfsSYOF$?$md0Co?NI^M<;m zr0n>rwHS2@k}m6<!V^7C+$W}rR-_duDPy#@R=z#3tWBR zm!k1Qt4IL$S;I-9WtcKXx9`1^7xC>jFZ?Kr_Fd_$y05Caj(Wvn7CHgdy@QuC?L0Fs zcU$~iyf5^yu-8;X%XFv9ZuZ%WUmXYWCcvE|oz2nzxc>*G8r17G6-A#;aTvYThF2-w zf$s4l=w)mru89QwIqtVkcXU=r$jdi!@KI3Ve$yKZ!+xrvc>2W`RRoL{Uz-kUnUi$u zUxew5WH=Mw%iqAlMt`?dEt2i;)d&>sG??Qm+MH_IBAtP70(c(_RzqsSX!g3~A1*#( zWr%ngsd>>A^}ATFqO{tqrH~#}C%av!qX$B-u+8Arf$yqB;gg%#9bb0n#plZa{(g#wPcn8>(Qm!#lJ&I3gnV_tqz& z7+R?Jy(KQE3#fFpe>}!jWtf;wgRJIN;He?n^SK$6?^+-G%mxSSSq|xrUO!jy?T1c$ zo_ujwwrm(x*$;5WqRj+p^D*J3 ztiAQSWGv=yUAksWV(?BnI(^)!<0)AScR{&ijr3B`9`<%A;wcZZcO?!|no}G&avbwF z4RkosN#|y9U2e!uotG}uQ#KQooqN4eX1{biuC{B@hs!iEhaHA7z(8GEmc@R%7Osw; zPotF07}cdsCcY-*$|I6X+~p`75S>Fga(5b^x#7K1>;_5`0qFrPH@1xXH$U zb7yy5SyT3dDb`YldCKOBl7be`Ss$Kdl`VR{^jY>?X5ApZALIfc`z8BDpXuuc@GSd4 zwCAUWk?=ce1p4AB-N^zX^syACi@YulEqebDr2%0DPVKkj9k|Q-t$dgA2dy_|BMHynWxKW!sX-Yn}JF@f69f5vYBpHs{ACnemM6~UZV~-%>G~` zjFq>O8c32yCE`)O1B}dKIK>0gOG@LXW7ylbbI)TA8AoWFLuctN9p$uV<94n-?ra&J zcineaL_;^JSjXF|aynP7xiCH7)|!;r3^>dLE)3;I_fKQxJRH`!b_{j&qb-|f>KpX5 zfavtZKA5?M9us&UfsJxt4O^ocFvxsYiPa_OlApb_bfc)bg|sJ1g0)D+(ZqiKH2Dcd z!(U;*4Mv67pinYeu5(C+MXg|p0e9~WqL{Kk$L_$X!KG{ewzMKyv=`LdV}fOO?q-8t z4^G?m>8jUPJhfz9935`!ErC6LGSs~d4YTDMQb-qQS#)X?aRU!-8&}i%$Md^iGmR&Y z-{6{;qR{ z^F5+B*XHLtP6#f4y(ar5Nj93B)k4>IicG1{yM=f3gy(7^O69Apw=7oka>T2#WV<`A zU!G<>wBs&()sY(&hY)-~8}8!_Z~<27v^_S^sUoOpH)u83&Pwf7MLN0rHMppu=~;B% zeKw>&y6@GIBcewnuZtiScoE$n@dF;37SPn)zHA|O}bjiLM=VysO z*O!4$AOn2uv`NNo5XbpG<~s~xk?gk;(x!YE)$tg4wLgCNQF?V3)WMRoEz;KnE(MTZ zzDP@+c;xlwsix3<#t;aqL@VGa@Z9+}z^j7)%;+2!8RN9QB-dpXypOqI&)LqmHR+1h z1(|+fj2AMh4-Uo1WS4cnI|QwN=Q!`mG;U?AB<Q%^5Hp4j*bE<-mfc9H!N;{z5YQ=2s0lDovwknGxH$Z zVIytfn&7o%EcRlb;aoW&EiU#QyK$(3&WB=z(fHF#Af*?q4% zM23cY^8HZLrcounQ9Cc!`Bkx&wB*4WKhY88S@7X`tfI;8+{UPVv=bUxx1bSz#459> z;hoLs$mry;<voVfW3*P4T6+bj76d_r8`zW<4KvJ45N!I6;ymqWwgCoN}Lh zVepF(j07O}$w>`KWy~(YRDpK0Cki~%D|X^yU%-71W%9kG5LIdOYmoIn)|GPhX0KJl z4h~aZ()-%(e8UQAFH@dLy3D9>W&G;A;9Rb+th=%yeza zEg@MWn165C!Tt8s+jHi)Uz@(->`gA^(vdk>s(#U1K^K%xpW__ZU~i+Fyl|xB#12Gr zvRtGNu?kB0xcxU}H`E_idli5anJV8eGwOS&M@d52WUI=<6XK@yU_dR49_So5(sb@zLHp>w@ zZTY!&eR7bFST@BWFxiIYqUvZda$*5<1Ro*_i2rS0PcbujC@PDpn zBvR0snaDC!=1&#IebdYO6BWJayXprQ4kG$QTwgWA$NW4S2O(hkk)v1_I<(R^`*5T) zR#t%uoq~D1V`ji(Yj%9al{Dq1&*mI1_ZKp)2+N09W>Uw7n3wY~tl2A;U#OYUqqH*? zAUg{E`aS-E(^MRzl(j;W3a8v;XHt|;!v`@ed=hdQOV!J$b7v4mfL}4^U%v9b4$JIM z_3R)tAz+HHY=G&&cXDyQfUZ)%nH2NYr0Deb@lnJo0lX{EQ|QZ*Xt<8AgYu)Z_nW+J zTyaO0+aVqqFP*@#7x(#QF6to0yYjK}(v|4s-bhpK1t97#MBT-UR+B%TDbKrMsvG?G zhd>^TS^(NszBE7m)oJUDvGn81+wnNhK{E{muhLmcm@>QNIc3%~AHkuNry8NAHOoYalz>)% z)`aAUl9*Y@56X(v8IYEz-~QEq0P87^`A+fWp|iHr>R*&&F`~D9MK=yy(k(v zp_pR`7h&#Br4x}5lf|r zGKrV_N%r6ReY{_s2GsmY*%SQz3i-j`>y^9*Lyw1r+#4iV`160kZ$%xN?XFz`(aae&i}+Ka`D<vm3Xk!B@5~X5R>-z*7GM0=6=H{m{xPQuSbw{7|G8Dv zrLcn&s$>6p!jJ~JZMNhi|8iol!wn!Gc=GCBek`;cxuHXT#Q$^({_|_I`0+W@0<2tyDe%D=f5?({$KAWd@RfV9lrlQWdC>g{>d2q-{Jd58~A^g@1Km3!vF6r zUwgP44#T0{R1OtoA$@z}DXEI`OHPua%F02IQN3b3TtRr+#N50fH8qv6r?=YbZmv#6 z7Q_QTnGNt0FerljS>Qh^R#w&``^j%L{?E`X3Q9_bLN3eoD380JS@NJZ|M`q_u^z@I zRo6y{@2^k$goxzuuHk9!V_2|yXD~H1H95;Q?^uCUw2G>C)4PJ+2#P-Aav$j|6N(_( zqL2J2J3iq>yqrgIxBN~AvkqnZ=WLD)RV=xWXVhP!he1Tj0`lS_DD60Vf+CzubM2p_8C2m#HO>zHqnU^w#Q-7T1f*2F3YFbn$hs@A zii(PQzokf5L_I)SJ~J`=q6RxV!}GpPO_}D_>H!hpy%xm-cY(tY zZUH?#MQw5dcR=@U6!oV9gBt`Mm6(TM;D7G8y@Kct_MlB2z{$E@?IoOx0OH7YW20eyh(EMm-C93!CY>mU9Yi!Nz6QMFyU`Apm#B>(#vv= zi<>*#Lu^s`L8beahI*VdN<;AJeF?A8%cmcYUT(c6hSTA75iKF=odB@c*gbs~TCw=I zo;*xPoI#?tZ)Y#A;;mP4M(^ON=<~U`B2h5~Wo3d-b5%AZf1JyGvUx_GOws&AUYTZS z(!iV69kDfRWg4FVw-j4Sb)XL3#1hIfzRgeN`M`L9U}efpz4&MBTw;tdoCvJ);;2pgAe|!k_5pROi zQA3gk-t3;yIGMv^=eE#bL4&Du$-8);exEE=42J|#%sa~_d`s*QGYJg zUsjDe*aZWwU-ZgkTiuutLxRP|BATsE7c`J%N)mj`afLLJZsLciGbkzz`WBjYyn!Z? z4pJ6%J)R-Aw_z*|%KE`u!KH^AB#HK|UTz#Q* z;cp+X|FH_n7%)sM-z=x3)?;&$e%vC>&4Ue`7TC2P?=)Bid6ibHC^}v*<7+&>aOYMj{_Nt}of?TOECOMf1 zvIOz8DXS?^D|MV@Q%t-b86~cLxU38yCQvQ@enjCPZow64(Zugx6Rv4D7mzTkzH8iu zOZUT_W}==*>b(Cs+`aT5@$1deJS`sU!^e?H00TvE_5_KT-#Wi0Pe_a)g-xu8)5H-j*6{YJ!_t*Y2M@ zJP*IOhx!R7%}m8Y?Kwn=hU}PP!u1O4M9pH$0Ioa3ghGl6!-TZNrd5^3g!o_=W~&1O zsf2oK11Zg*3>g{YGW8n9Zl&EpH-;H@8C)pCIRQhhpxA8~LNJS_2n{AxY3q)7pR+pm zripD8mP=#0GkX>o98s zG>85JB6igrt;w3RI39$TLk$(G{1%V2yXdT)^!LRT$#ApHsH!cAWwzJp$WW234$A4s z*5pB?G~2>GWex5U+xDbbV-s(D`-HN5CE%2UXywbXC=H7F4QHujsy?44OeG?@Yd=ux zz($kXyA9O}0jui70Ngm{pf$i%-HA#q#ZUFfX_8t%;dX-lU1Ip=7WN;I%>_X2vUzs?XlfyAHNw80D`-S#-=&Uq?2Q@ zg!w$NBX(07!7rJm-6BMpJYXVY5w}HeH$)^l$&J(mq&Vm3f7zvP;(BQXq2d>QpOs&h z5iuatVi=2hrJ!Xx3$XAN9G}ID%8w;bn_w|Mqc}+FI$12{$=^6 zRQWhdHEoBmCY4CNFg_M>OsFmhMPD|2*d)O4JPYJZ?_4^WagJ7lxhwIy3z}vd)Iqh= zJFp!t%X^-WL zZm5t)>a)FtF+9Vs`0Qj7Wa6Aha6oK$OY7uEqlku;2a4g5xJSB#|U8^G)d^m2boR)&IOf;UZ#Q>Fds2%>D6XZ zubS^Fv3=JlH0^=kHM~oT$Ow&hM1PSn5%_g)r7#JwliH&Tuzoq_KVu65ag4?_nAE^d z)~vvHgyg33NPKz36@9{+#2UBHqlJ~_YCxX^DUe0_Pbu7u!iIq@=j1TMZ?Wq0D~+zX5mukA@G3iGe= z-VGs8OJo<9r%`^Vh*H3(;N@uRNZckSP`K5HD7m2WEc=SSWT<3@Ke%0uYJj>%ov)H# zzskDGiNjdqC&U^jJkNi__}hsSHNmN8me=uV+*kvrcI+m_vX>Oia&>^zXE!L{nZrE4 zLCeZZ;@`m++gyySZdA=sW@P1K|M);IHWb|y;dHUGI^g1qM=9fnE}GgCHgsc2pZ#y| zb_9d*V!WG`uG@lNgMbxOqEyr5VnlH{xlG$R{4|u)Tj2_8fHp;gL}cRS=l)HmGxsTS zG>e-dEDkdmyP;AU6iCJ`#)63q|5x!x>AF z3bW}a+2Wj2$nk|<;Q$tmt^@)qa_(G zNa`r(R_&H9@jkufWaPjJZtpH`45PfbAK52cdWC$08{=YS4%4bcoWJ+YnyB8bcHVj^ zY4yKtS1=7m)T=$nq7YqkIo@x+?tZu=S^6Izc9uGrnSphDAvJR4B^~v1S=49ZZwtjk z9&cS%rh4QAu=Xf_G=?z?u)l@vE6e9I`AQAWOf%Kyw#Q{`6PDedA5S%N%26c}e#q;` zxh1HbZ{TOh<+5x-W~*Gy_xl9%;{0T$YW7I#{QX?iNtjpt_ke%a1Cv|9$KAJl077af zuec+l5+K+fc%e~c6biF&M8;EIn0x|(Fv@NPC;uYvQCxZIGls0Kw;>X@K#~R7Siv3~ z1Kgg@a+F=4VUSRkVO^jjkeDBdb4V6cY)~TeG7&Xo5RDh+^ot2)?COBz`aUA?|Lj^@ zs_g7?oBX~$l|{>Zlwv{yu$?U&`f0 zdoAEQ5%G}RU4~H-C$w)#c@XVUS-3EYQQ0)IzW$k5I<8kj)D66)eswbD9i6E)v-yg( z=AG{+EMCLY^#&o zZU&q+)-H1_gs=^*kww>a>;$# zV?j^NPKmNjZhLXLlkj!!W+^EBtwPy&tZy86V7WvDpqw99Zye$x!(W%=`vDm?l3nh}3)}y#4c|BT!b~Y0C>P_-ccI zLJ4K~qQw;RilU8-j+0WVOg>ck%lbX^mwKZ(?**1gG-R#-kH)UrLJ?JOcO^!j_2bWI zb>(or7U{7PMRq~P{#h6pr$zM{%+YxHiD?_mWw+#e3ot*l8?+ph;Utf``v= zdJf?|LZ8VeL_eNFjiKN4O=BC4y?)Jy>W&vlNutzu3|UW;5<1X4Mma(cx_V!cg>1;T zvzb7ta1wthJ_tii8jxTxTcdFCWYFj0>#2~=_kygU?zn%7-G0RuDn#Umt+*BUaaPhumPS@&; zICHBQ+x&*NoGi6giB)N}0q4dABWUTunbn%BLJBFdCq7*jIzCm&;wXljAN_f#%U+ml z=EzI@gG=Up6)cVnk;#+8C<1&oeY`)XpW;%Dm@Ib1`p8pD!XdNhYFbmDWm5<(xdt6x#Rg%LAOOsISCiy{uZgl~eW)}3YY>5U2OCZiF zivful$9|i-8^Y(6uGB@Rg$6Jt=XsJf940-mT@3H6t1_Y%YdO#7LxrU;&(C7d$$vwxT`O=gKBk2{=3 zabNMuKnN|{gww@mgFaJuC}Am?7aR=v8t(QmV)bES^t$YJS#)To+^7Q87Z;pM<91($ zB;Jgj{_3u#ANNTHBXjN(OoLl?yf-88vMP7djjf)X1NT?Jw|zs8o?#!@`4w+bpT}6_-Fz}a7B14%?@u&1dk;6i6i|Ti=PW@T z4{AQF7nu=OiTNCpqX<=a2g$+O74hxM`nsLTTR@mJ!WEhJ_aT%JaGW7uP303qrVGz$ z8puQn6^%)zRK6%~U0)cz*2c3zM+crzS@F+Aj|-WcRXPcRi(ZhL#&$>Yr$?baHX zb_-U+5165KfEf7ELWZqwKym7Kr1vJ+tNc>!vooU_Z1XYAo@mO?O;_*RFSkmR4Me>= zf7L`m=h2T6p&m4fs2DE3W3_lJ*1gt12rO!Vk}XF6wO-ny;RS7Tl0--{U=KD#9>C?w zYY3t51FG+I%`1ix$yN2HpjOaJH7tW3+4*i;9Xyym^lWyq+{y5qcsWAx7f`&hcHEC7 z8*tbJ&7^JL#e#O{u;Yn~+*194Pw>e(-V;Ai*&s81L}B}wXm+V=?P1F7V)yN`<;BM} zVyH`g9alYQPrB$cef)M3Jl7m!MIN;h!%(`P&2Cv(gDxTSfTyw8yEVF{HLe&~jQKM; z*avUVK;ivU*qa-FmKY& z(8i}sA0+wCCEay-ouFIg!EHNs>uDqT&+-5owh6x%9MSX)_gP$l=Iy#JySx^xqZ~|4 zlc2^rl>InG4-&Y(Aj?Czk~6!2-Na_@MI3M)(tbpQN`@rNH@p8fHL=mK%-V zX7sq63K2vs15Kb;WHO-(HIFVKbLzciRo1V!ApVGzZae1l;z%y7x57rE4vhLxvdo3f zX?1W=2(WCEupP+vBhq)8{Kp^Y547`?IDUk8h;uFr&%X!{Ymp5ZijvVOu}y)c`0RHn ztV=bN#ltPx(43h@A11UBit_^ZwA%*Aj-KXxpYd?>ne;Wz2e1cJji^IV+Fv;KAtmDU zB3_@yE8B1GIdjs43ot!M$Nc7Gj;k1YG6mEBGGPZ31g>9)y$9LFBwH{D1sp`e^b-4h z#fsKlsjB>c=&atZYIrc{Bz9IUc09M6aY~ec7?Ou1MZ= zmXy71Mq%b=DpR+1@A2gurBj;~%6mYVV-r=QA$Xs04+oZr9fO}S3^ zLfnTaY-i81SRQNjbehGjvwH$B0`Cpx3~EMwW=r>^!8N_8P$yyYiry@X*6E@Z7?l;22)Zw;_C>0aX z>f=_XI-2B!R+I%m26q;S>Q9nQUJx0(oeaNDw=x>^yv|skl>|+Dk>V9} zP*Orbleu;z+Xgc?=i6Vc!#q(Z{W#)2hHA;glj$4pJa$~@b*5b`dJAw|mR=9(V%m#5 zr%np0wtv(^^TOmr6SL+T+_hdYE3zv8KG$0<3@()+s04%J`Qf2$Y-fyw?#VkB(^W%< zx~SpZ!{}EYAlvOdahicwSb4cu=IL)ZQS>>EiTKjvOM%vL7j zJFf%=%RXY9D;Ypd%R~jDNMV5J{%6k+cyiGw8GbQb2Z!DR6U&Wta+<;a_dxah^HRZ5 z;M2z9ngr-Y>O*P*N|o~N1=$R#RZ6J$ru|ccFehw0QR|`IH<|b6`UulUu5F~0oRws3 z&aCPkDP(3OJ6V6@%`nep9qJR;PBwU*z^8xK&gqQ(MFg{AagS1cT?a4q{8 zws-b9ne`;_xmoT4}gWI&d9!9^vKX^A$ciOg{qICDTA57zSUa5H& zelk;wJ^sjAf_s||5SXqCJ!*CZ`JeduYAF?s256y6jLRNhvv{j=U%IhjpOu*UV?RP^ zrT03nzq}Pm`lnqpAPQCsxmUHl__R23d<~Kv!>!Qb{Jik2MLPLdb3}{?2M5B<0+_}= zrWuCh@p+HWS0C5gj~2*MyEw)~Vke2eMk!L&`&m6M3GG=^v8tCHVD%0==N$Sl={B+h7=5-sRo z@Z@h%!C6}5?-ZgHUQ@CZBvw^^P~}VOcTCx&jI%|s4Q>5-*0~5P#B1^8l+*Q8tx$bp z?66!p2X?ibS7voE6L7TBXZuu@zrboB*-b4&g@jM}HP{TE>D2<$XFeE4cE5Zr#B>IZ zfiv4JR+5~P2Z3sRG=wPsg_7`M;Nng6z(M-5EK}d`aU`RNPM|RYYB|Oa*Fjg(l$zJU<%Zy;WDu)hWJ(a;RMm@%3 zQ};a8^||20O7*i%rE0Qpk)wW{Dg{R`w{@>wU)*ky+8H$3txR1ipdFXEeu??IglX42{GegI!Tgg`-pef0Tq2}f5p5L|?p?G73lvXUxk@)F85 z{C3c&lhd5B2C5)NkIs9%YY356Ei%93I^s`nfLiarx$A$`+bDobtkFsfBwnT~^K%x` z8#=BFFHSv6lq5$aGX~s6V+9HKmS2NmU7Bhg$`K!Il)kZ}3`hyt?i%#z*!IkGp)Mm~vgFE@(1WanfPw$0Edgl^<-I=*W!5EY&`;n!C5R$u936#@ zT${L8)MF{s!?Hw{pYn}Di(yVo6kQ-q9!ycGC4MjkSWrWu1|c(|dJ~D0tHs<<8%l7i zR-HNBAh&$+$$T&*d+VJ`n$P12RYKI_ZS@;3Sp#)p6{gGr0N&O=l-Zjl>5Aivgi!!k z_CfOznF{fpjvNG61Ni@ktz?c)MK8{WscDYL@;k;*zqQ+74|~f3@Zd6Ps>>Of zizosX62PebBkh!puhF&IGnXd_8K5u`I*4eGU|hHWK)UQ_{XQIq8YMcRr>a@%`p^^Y z6WtxA_JGc#h>pe+U<_qFJTw>AMy%wiK%-}c z3J>;lQ_ckK4mK@2FL%)`nUw~)pz5C}MFV&fz4&l)UKS%^?voDNyAds(u<_v89FL3qCHDK_Wb&(i!@5FEw-P2)H>q^Fvsd`aLFL%mj`#(F=`289ZM} z3z=};6JoU@M+l6z1;16)IxiF56Wm16NK?0~K$Lc23raQ?P|RX;ODHd~U0Po4qUJQi zWi2)Dxf0^64D=mWAW>ukN$FFL3>{Xrftv7lvRlg~HZXC)aS%1$1EfI<$POTE=UgLH zd>JbJt2uHj;l#FdhFwEZceJ2ft0M?7)z7! zJA$jdo>^~vf!H$Fvg1-={?Dq3q#r#sog6z8Akw#$WvXuP@*DdzEv#u1uk; zjhmS7?`*C#OS9iP0omv&C6iA;dH59i7Fah$37>_?X;Q_qni$hw89e!{fE3h=(`z`) z1&;cs5@OQ^PtSh`cs`2uAG<{&)tn?*Gxzm zu{EZSx@4n(I&Qp34n`!E=qd>*@l#T72))#S1g3>8i+an{&QKKNwdl!QlfElV;;{le zlD~f5dm;-={^xYRKj*;2LrPaIBZ@H$-hA42t0B`Gcv@%HXq0nqpi@KELTf%id7}4^ zQ-Y!1e^wk$+-_-jX(~Nhv69>(?6ld!_?(5@lljD zaMI|1NT$1aLRr>Yd;qY;wr{GaXRO+#?Lf*Y4y_Txxr9jC7v689V|9oR{(M@&qXLOD zVdTT8_#hKmf}rHv4v0f$Y)?s1v#Vr;BJ=F!uC}OB{iYvq!6PV6EA}1)*MHq)Y{sML z)iMx1oPp8RwikrZ`84dp=%ZS|!&{n?QfY&b{T`HhxY3#+$CChqJ%Na0z)@~eCTVi` zkS>Do zGZ@b#M4W1q;vU&zFo|epWLplDA|;a&j-*9uB-B|Ndl8@ZHHh#838Au%&Zdw|yM3T| z_|(~_WbE9ilT*dY2Eo<-FsZ)VvSLMby0_3QAt%~ogD+ei42Xxj2N5RGme{+X=T&bi5b601$)(g2ol*ffg#XgOUWURUYAQJ zu@O#LU9T>|RBQ=R9V{R}G&8N26h?9%jm+RBQ&o5*-#9pj-dTvRLm#V#qOnmrops(% zA_eTXiOzh!Rp^r9cw2O%Gr^BQI#$gyK^~uB%}?QAFTQW`m5mb~I0gd8*UzB{q}G+R zmltY8ESl~wehbOFbX1W_c5`;wL&T}if(KC+i77Uq6WpLtmP)R9As_#)C14Ru_cv(^ za1Pu~b6WIF(lnvels7`|<@IJ%k+C07tDYgP!&9Jo{QJ>A(13;f?2({)czMRe;@=So zp|rRQqEBOA>vIrLrVy(Q!W64*xinw~k7)x(LxK)VJeRI9fE$Tcfxwre+)Kc`)>+^5{oP6cd+`EQMJ$%X;Kx zZBPy8ie{)xb!m;5d!{>X@fM6#AQL!FkD(uW6USoTvwEjPs`yMJ=-aQlvSzUv)1bED3>A>^KyJwpSmbRnq%?fg@;_ zaD5ue+P!fMC2|*Y5UB0NIUAN;vjUMDm08px*lK<^L^t{Av6*C~KVSASs^cu5t;!ogwk66=rqb+V`Oq ziQtWBzwrMI955BBm%BK$%&>i5Pv;s5^LRl1(wQcIUbD)h0?Fb0TL^JhJfCqy@5a)e zY_wCDRn%#Q2Wi=UM>Tz+Pq2nLd_|@m84CKr_fmAql?O;3s*UJ@X_y76=r<=R`F%53l}Qgv1&KuO zeexz|c!~D^07F!Ck8udJ4+%5;tH&o;hn!E9trNij_|ckotw|DPU-=iduH*}X;?COY z9K=YRih{mzf&KGF-^H*>IkY~#idw8eZ69}N}FW@?F_Vwo57 zlg~kttOw=L;E@e3!aIXG>~~aI2(Cq`DI#+}TM&JMqnxhrfmrn|M{2RL=LVXr&GW&d z6K6&QR1*6^q16N-;#j%TsV>vmmh-A7UiZhyY=z6Hd$JmsU?uPEc>ltoM4Z#B_i&3X zK{YF}DL~k9MxD$+`C>xi^LiqA)EXhmQNFxpAC2V3QTLj9(R!Kg2Xwi(kj__e~9*Mbl@Jzgz2&W0Dl+1%h9pK_uo+>JxXX6qxrv=+-4~L{HPQYR56+(MRT0 zP&Hd5-S}1AKRnFA^xgxGeP3c-rWlbVA?7EYl{k(Mvsz980_V;Pq2?Hq@4ddAvRE#6 z#j##mp*mhzv&cOEig6?F@a@-UGE}ook(%8s=)cI_RMh(8@Pr2=bVAhe+wS|1!XSJU zJ=q7*hWYYDYyQ(OulP8Nv?8%8UJHQ4a75p=4WS~-fhpTy1}#WJWm#GHj)F|(J^0d& z2p4H7fJ$mNOjf#0PE7F&&)7c;;Qgqrszc=X8~B~(%=bV?$^r^9as>U5HfBS9?(es` z=Zz_V^B6J6O`pD~r0;nG@2tU{SZW#Wi{0P@rfd2NDuI=I3qhXU4fJsok$Gu%I5|vy zkz66oBEbHmpHCTo|FynJh@x;tS%vBKw^#eaSMJWi!Lm5-_R||t9A=xpWmz{FFpL;q zzYF}JwrBxbThEqR73YxPFl{<}$T>tUsd+667M5+uzc^AbA7QnBtoS$NiA(EL&_0QUY0$kKTIEAytmRRQWPT!n;vrqh7im8=n9VH-hxPzPqm+=|Q4;BzljX18vs zmSUjJPK~0-rZm|FAg}GLFzE)~=lJspxv}%V4N>qZfCb&Y=i%)?d7`|ij-8s8jbCoU zW)Mj2c0mh|Awc{pGa|F4Uez1*OA7kJNLVAd1}r@z&?&REI?<%WJ}6)^T&uz%L3*FJVo|&rIXEoVo9xR4XfTUr#5{2>^T>o|`AhnHE zLw#o!cnnU%N+QsfpniE|)pKvnla1oFIGO%`EQ07R=Gbf++3fOj#uP6dW#y}c=*zlq zjQpEa(oN39-b;Wq3$O8-!rE7G%J=9kll6%`<)u9*mw z>BiXip-1V0KNBQ@xKROQLU)fpN7}xS&cQKhF^pbNj54faFq!~<&JzA9+Wc7n!SewD zs%s9RPIH*Y|K1%~MOwKz#XN32VWG4uX3^9_h<};s!V(C>t!QUJfQr;N(R?3%!howD zqzg-&8bv?#3K_tsDcj^kAbukyB>{(2{BbL$nBR8}asEvK|KLFAj?gg_-1O&!wh!#f zQ{#<tdeQ4GP{7+lj=D*Y=kr+c96b*(MqN=9f$Hy9A}5VP~5Isx#&@uSExjc4M(r z1tFJfYF49iFRy$ercj+5aSpSS>M3;6sZ#s_)P+om7=p7*qA6wjUnCs_r ztbm{Dfv!lISf9x&6$#tWrLpm3x;5z$QpB&c;8P=(Q+eCy z6xJDm$5_8l`7gNl@F}P{FdcDaWYe*Kxy@^sG~JR{x1g;BiHNW|#r3)A z-$Mi$aRuuHMES0drI1@KfCnf}Gev>)W2JPa5cuphizX{H+)B>EkDMrj=9ipxn&@Ah z3;*@G$lLRRsrX}1O!=Ud@b)!PzCTDvk@_nK>Le-M{8P*uF}d=JGJK;WvM9H2#!KTZ z#V~w#>q*)72Y7DNSlNIX*Y*}!n2pv3Jf&oM&XM->OkV@W!HdA}KYYbsUlK3?cHupB zlIZ}u@S{~ol{o`^jQNvk2!6+H-u+#02cT=Cg^OB1*UWNVn?u^E`oPz|`3U-FdA4XN zrC2dEYv`j9q!oE#Sn9yQo4Bdhb!V;0l@L{NH$hksGLBCC=T5b`7M+`cT;v?N* z2<2@fHm+XI-vjAR-hnd2Dp0Wa6&0$#FQS`>_=GI#vY>%fO%+V}(@+79wBmTUF#oRy zfCBvb$5#1v!u=I{A{Gz$!zysX`yjbDg<#EnMhdw66?mMR9csFFpd-zo5AW?y0I++I zka0iIfB?*okLyz14`OVhhLT9l8+N$9gxA{chcTG7Bge?6A!ih3@mQ-5 zK!_s}3L8B{V*cwOAMri`0p(}w;|hZNXFWN>YmgdhCB-o&kouLX5C3uOgmtWMgqE$O zxuy=@&emEnnU3>^VpmW+zG@)?8kaJt(@UIa(Pzc42AvnSUQ}dpWG;j&O*|cn7_x0% zg3K*!Xn5wI8*SlPFpxbFjS*AXe?Dp?e#7u(ec?G)~1-xvuH$Oz|s(v1DXEg7nXZk;G{xRCx5(}|RLOICQn=e=yW!Gcc=eCi5 z{Oh6xBZ%o_vh1CGTR=dLfy=lFy_bDIhd&xRyiia5nh@u)dEZ>K84E>;baGUJ-kh6V z^+>!e6`Z6_r%JjWXeD?7P>LzI@Bk7%qk00Q`@_5<-VaehKw>n3nc!ujo^?ylC|fv{8`mKBRe#h1`U1Vee!Vu{o%A+M(T#itzXb>nbN>b1xL| zd_~nMyk7k!npdE~5FnXkk=v)L9L2uw^&ZG@R)DRn6&iuHT?N2ytLRfMgOh&wqaZr_ zlS0d1*RL&VQ}J4VKe;7jRryN5wo;Nx*Rt6V@2v;0pEpld0gD_L{oDyKksgS14ZG4c zi*qO;g3Nay{p*tb)l7TqA&HCQo`S%>@wj#2s9#@bcUT*O`e{On*!;z^0{Sv4XBT%7 z`CBVZ9cCnsD=aU^tOm4ggN^o7ol!T^mb}mv`~TGS-GNlT@Bh&$t05yQNwT*h;SjR- zUPU&A>~S%Okn z^?JQ-Vf%O`9<_P|Oh9Y{XWt`DJ(gID|Ay(!8<09fDv(SUaU(PS_isco6C(%m0fcd* zwm^kJR}%jTkzv4f(9m1d?wfWZ^DI2fwwh^j`jFI!{oo^kG6&s9ADu*xQpAU z?OyyctedyObmmYS!rQfPUT+E^iTIy?_sL&O(LW7G140ugDl)gH0PYW$bt4*&f&{z| z*T(?_lS57ndqZ86%ck`hn*YV^am%XT=|Gz7phK_6A2<%8jR^v+B;+G}VdG$vVL4_e zopy_g;s1{4Xq57r@Z7SkcfN|+MhV_arWiE|l$|~2fD7vY;iY&nlkXGwb$3Fye_#U4 zI*Z|qwwb6Lg!0q*Ks?vQ0UEv573;~kHCX6ZB@1&^!6(_8dgdD0)1Xj^))=~CDXXWZeQ5z+~J_b zr$DSZe+8c-6QaC=1Cjd|{=|4|iK=1!u@V}_=Q7F(e2(ztd(E12wav+pLY1Y{vX@M^ z@Ip6qQ-~t=8~_P$9g+*uFq*V5Nf!fSry^?BXUVwCA@R~${*BenQ{gfNU(2;ylmI7i zzX#C=mA%TRTb*{|pOMRofsI(~lFq^3v6LoRDjy}I#xxDws|RT89Gg=O(g}2OZ9;0> zR3Py{ab9(FX{1cr!Zeam0`X7q8qx=7srjmcLX1ANDqLdpMO)&Ycjf7@H#IdmgF9*& zP)h36xx=J#W87<9Nhig%z`h~=%?kpgI*JRiS&X-&#$N|Z0fss%j5_2yd;A}lh=vlW z3P?SUKz#_~`VLX)v+skO_+X$U!Ovk(Vk*?YYw#p3ap7dFY5(QkvPW0bw5@_w?@r#5 zx=Tig-6m>3N%lLNX6*SieR1QBdWl-luXO!3LQ@lau?VtqK3O|-8Ui4IV0Q*h1j0kP zdkJQ1F67TJ9a;*a8r48MsxpBB!kt0T)^S)&-e*NfG`Rfkm`Uf`z*oRsaIrw2>dJW#(>Zm-B*6x36b%-%={Xh^& z#yy3*AHQ`GmKhn(|6QWAO-P?{>=8ngcd8k!w92{`>C9)wcX9LcJgq+)d?TbQJu*1&?T>E|W$QUQbewh(D{cfrb z9L|5W)5+Ytd0ukCl~&myHkU&~X0g1m03C#!J~RbdF||C++fs&I{a?Jd!z0!T$fJLO z+kR3#Ak$sdIzhRL3B>G`el>8F^yJ?IqRmN(us6~$qlbP#dYLMadwVw(3GHd!%v9G! zrTUoMc-0sw4kGRTU;DEU7mOO8J-pD?NRbLKwdyXt!tJ%pq)7>-lRs(ku|Ih} zRtnk`3tl9|zvlxUz2+9vm$B#>Vd$Qmfn4E)9`PU~6%GhcOFhA|XYxc02S>5`;5i*f zpLbD;xlcZ*gWQ005dj^ubYcg!LgaweN{y~I& z-*V!uJ+wvo&;8RDiFN?7Lma|8K)7^{T}5^Ad?uHX#Z0l7cdda{C4RwxNzI;$Jc0ir zV?iiEm3wL&(eeQP@7#77D|J^W_5$g4Et5`(z`aDF=QdHO1~mA-`W}OO_}`;`hm#V} zrpKO;9`=H#5LlvEKcKw7>KOCU6h8jkWoxFEp*Esc0k0CfE`oMps9}Z@5$YBzYX>K> z`EIfJ4IFo)jN+-3{y{|k|5dW^;!-gQ06nmJG|3+E9Dp`5ntdNvtR2V_h>!2fC!?B$ zBP$0dbu(qj3^am+5SNxka2EYf$>A-EWH!#zGrQ(nbV~+^F(Wj&^q` z7+b=BK^CeJ(nE%jd6)SRFzH zQ?^D5trz}t)7|n25x%=~xS?!$@Yb=@K{O`76|lcwUnk(RZ*(dh5s*p(Oy-&vjcC%L zO)D{G{%>S=Mk((ul-K?1{n)tWCn3)f>kDX-p2iTYlEK9TAweMOc5pZ;1-#x6)ZZ7< zssKtiglg;|FkK!{MjDoo{7wwLoLsEbb@sFwx*wh2MkRRVoOnu+>*DNEYN#SKbdZNa8qf| zcSvQQdTvomfmceTKco%B#zJ>2#)1lfQP&LMl z%0@Q>R4^iGtnb~pG~L?^%h3r`ZibZJ{S5O_@3E=GT+BK5EZMKX2NFH5n>h}ubW7y09AVJe%RWla z|Le=Uk+L({CwW_;vJn*;n6L;40nPbHQH^f^LRI4&2?t{eFnEs$#+&zt-JS|l#H^Rk* zs6vsbVtEz#LsuNQjtyR4?xPDXYbD)Y%%CKIM!D&|Hs@B$J z1eZ~{#HpOj&yaJ|)-O~I&Nv)HxON?szHW^FMml0?m?6qODc1jdy=)X&Ug-aSn=KE6|2GXK;J)21gQjaL_s58(mc49_qCY(%KQ!$)G!W<7z?S z%?D%bc(rtga$T)~Q6+LdNnLz%3xvH#23Z@jsdAet#mylJ41SK3pVaK?B|#K)J$7)#q2S#!eut^|wFVdV0*eBMo=<rkCegU3c0qU8m(sv~rr{_9GS+`}LQ z^zvNrc%f>v7dr9?-q9;-N-Ths=gr$Vek?Re*P~-rTO^pu75)Od~1z%Htoa_VuEE@K=l`vFDBGh+3p8w(uj{bGnAjgCqDXed)u%Ks|)c%mDZ?m8~yfdZn2X zh$V)j&P_qzrsNLm{a*t&-6N)ff=#2$psKEsGt2cGK86|$c7>A$c7RW|8La$LZVM#` zVM{R*NM`{zJg!ST2<)y2l+^xDL?jGm@H&)28I=601yHn9uTfwWngJ;Mq}cMcG3?g3 z7pGPq4G@u8K%SJB zX0u<~@~xv(6eJ2_6o<~S<#!yswl)Y=LIbVMfmU3VR*Xs-ZDHovbEPiqa0wh7RG$ zKCghK@(U>go$dqTPcb~Lo?BZ+6giY{dFhS9TTx94MFtN^!sn2ZF$zgx+W-R6rb=Gd_soNG@-7NV=H7FkGny)a2bhe{*Tczv`Z&* zIB&(XeP?Y{PLEnSBIlIu9y#re{RWJEm+wMuPxgOZg{EWba{8;-S0SiE)kK3@6douZ zJy0?+kn`ga&xV_-8OCnl*^oz>j}Vi9Mf!?N1JqJQumS`=T3XVnwEF``Qjon}f+bn) zSu~(G9>f{-LYU6RQ{o)@pMF1d06yGjvtr$W&7~wYJw2Zrm3?&kJ-0wHUY#m73}xXP zp&_YB1$#?pQ(NPNTN#8X+7B%1eeUgQ55D;%xyS2)FQyn!XF61DeqtIgvJn}`L`XKa zJ|J_zkVC51ktE`D1=(l(L(nSjVKT#D1oa-M9eIibmF2DoI#QUZ0Y$;1f);`Hk%SgK zp!Z8WS0;nlcOJ_C$69TB%8WcNOu`NUxXGe3!M&vy#W zp2nCeUU>6(jhQZA}8aSR0s|P7m?cQ z(8`KtjtefH9$_vpsV@6+j5WP6h<#QNlcoH;v4qq20j`T>PyXXCFS}Jg@|F`6A{meN z;()XBI)2{R4oXFbkBCyPDbd&v8qCxri|6xxD4Fu#vC6-Z$YH?1k}?@Y0jt~W&5C1l zea$J-soV{=J~G+2si0QpSY+EE7Q$x5l#LQ{xeAGPF94?wkRDY~7siUK4t~ZtU*>!y zwVS{2n}_L|?F%gSI<(Lbi1s@nyV*TYgrM0_dULv+Hk(&3RHhp%!DF|~Wi6h_;Z5Z^`NwX>BmdQFo~kpXwTulW;a zo!OY(phJs)&#u(If1lDCH7xNF{Ln<^c%8V^0-M_N;X2S~6kxAFgMrYY{W%F-JLXJ9 z0FUJ^qQ|6R*rfAwAK=U*(S+L`v;BQRbv%owQPP_yNe~vGeab{BIny zCh$>vy-i`yeqH}1<`N%Farm=@Y*3W7PjPIQK(cV+fqAS?Oxfo99YsZ)G>){VlN&zv z{vtPGkK_uXh%sY+yrUa7vdhTnZ_1NV6QTL3X{DKA=Eb)A&nQlUNl5)2z59o z3ZXD~>E&s&4u&d^x6UPfir*mwI6?!obr^f+VkR34@`62rti%3mme77`{Vo&VRo|~w zBD<9s2|a*2bHL~w4!s!AQ6PHnm7 zRQub%A1xZhgZH}%O19k0vZyrad4sGvtnT7=vqnu!{{RMNr4tz+;qDJf1#~ zyFCKO)8a){Uhj#q6x)~s9dvRO1i$YHMu*9 z@=c@j@624ajpllzv>8WX#eIk8cuTi`yD0F3KV>x+7^_c{>3mbtlKeiB`RR)1RT-@t z(_v@jsWS~n$);e;3aR>KJbV%f0On;SwpYGqw-9RrT^;m&pwqXop;Ze5-0EbV0=lW^Us@4K0%6jPou$0 z){sUa=Q-9WX8M{psx27y9YLE5*jX~Qp3WLNV}2}v@t%9Xc+JVb>4=Ja5Hg1e z!Tf?`N+v0WYmH(;DqY^Y|20>VlREb<7}6P27bTVuIsYWw=w2^*M1 zp-XM`(6NT&+a<8o0;Sr9TA15$d?r0m3p~T893HnkC0s^5hewa4xLHgA;6rofG0t#g zyGEWz55_~)>uAXNG@PQi`?wiG+Dd4feFt*ZD?V6O#nE7S zY3krpZ#cM!J=AX|R(Xv+B>B2|_pk!xz(B*$-7{qqq?S5(paQtGeZvpg5?D(*@^oHf zv=BHX$op%1j)on38uf%cCf^%LzMTYHW>+kSF~Pe6o}1q~I!drn=7?r@0E4_Z1?^+u zJ5zgM&oUF@AS)#$bX|e+oM&tT%2P|xu{-alVlQL@m@`vFbyh-)k98LLOgXu@>&H{n=K=34$yK+g|3u7B)Ez@L-w1Cc+Gqw z?mg_Q3cN-NblT3gbDzO`una*#FjRaXcn@lb>q@=YAdU&(1Ex#Rs{-xp5Q@-4*>jA; z#k|rgjLGD-Jnh#x8uUS!BT_c(m`|BcHA*!XtLl+luhIW_h;CpYk5A;#M_)MAcM3MU zh+tK!?}#8@dhzWQ;JDeBt@bswChys2UMr82I-33M?VPU)vJMyZ)&$XX!*apXThGZ< z19fG4Q*zs8IYKImeX;-Sr-e7CV_t{+>k_c<%xAx@lN5=pOj?8a1%<8_<@j(=s&xdP zp;~htwdt+$D0l=Nj-ZaXqRilF=!|!RDcs#|d6vorsJxJ(IFO85m9cEoT%h-Gkl+$* za5k7Bm0EUd?;O*lsC1r~kCwOuEw+3%ek05?pA7yNvE2In*`IvAJ`!|5=&c|@cEcVF z5td)XV`mQacZCZxsnDUZnyUEmx+H`0?D_sggQH!4Wba6NqKPIBq~~Qk`)-@=Y$Poe zQ`>*!S7Xps@LX8Hjn_o4niyf^oT-VGiyEvWy6Fto~_qHjIyGgFrxUi}O`Il{&*)Z}`J=?uPe?$dhCn0lvbMpM8q{vc0RaBfL0i|Q{ND2iM zelY;wHahkr)|g85s-yukW8(!;)mz#!KN)XJ{n363w>ouP%>4aUEh8dWL~*|zHeuC-L$LmKrG z#5Nr9pMi475zxvO@7#u=@-wsCEN%{CB8A|iZ*F?K3F)psi~EFr$g*$JX$(>L$Hjkk zg(lHRpWlw@=$wvAIjN&)wGlZse%;v{Q8SktuWAy<)n6eCWKVIHsVdOSA|S?(?JH3x z*XCY&g1^(j39&>mC3Bk(%ZDkt8EtfZ2UhLYIP0Iz5NSQJ>KDIXA5^xPNbbNEQ8JO3 z8~TL!Y)L(U1EqPp6-XOmb&4@F$cfFIQ>koyK=UvME3rfb4nVvF4BEG3`}VxY5norg z9~S{o1)O=FfQ~ml&?@p|9tA2lj^E&w8!lpzA85YHTNPgfv%(WfJxJeav#EJx>Nogg&ZD{qw6B6p- zeWqEtW+eJGwfQT7v4j0QuZiXP{v;|a0;+(RM=&TR);lhl^I|vfl z4hT+k<-D)As6|fA2>cp!C%uFB=yW9ixjn;bm5`uT(Cr*rma`TGbT9W?=3iC6B8pV- za8`dh-}du-MuFVgwi>b&gpA?FXd_y19vGWr)+?}56LGf$;PsG#Tn*>+o8!}xU1%MtD|LFtPIN1%drqRZFMU>ixD3~E;O=!^4m2DXNNjgLpWgwk=bkviJl zF=h7C3xr| zYSU1FX$Mx8Y`j&@RHVz3n9%Sh%l0NA^e52D-knoS(?WtF2YzLj%UVOzD~ig)^{d&{ z>f~<5pcQhbJHpKm(~?#J%7B75I;s{S_(;&dG3iID^0HW>kpnV<(^vIL&y$f|PDZ`Z zO~fa{`;{3+xSR$XZztGnSd&RwGrtofKANYPw+rO2sgAf!(%-yrezuJL1sRq%tT|(;n=A6)k z>>$oKX7FH_jIX01_dcu@>B*OzXYIzA8?4F{?g%p?L}8In&H+v502`)~L1<2{JK3HF ztvW^t9M_UJR|D>xJwU0>nW|SzlY)4Y;T#nGD5>20v^Gl+Qp&*A$QV$_hmhi~hst`Z zeQ^PT#+4K>K^_Qy0a_B4mV*jPOmCk?Pi?(+Gep@PLM&t5X zvUnh}*|elh;{(|41h_%hRb3a+Wm631rUW$h0gg&N_Q<1I_@f~lv7wzbR`fo+rHy*H zrn}VMfc?&!P((am22JFK_9(9@@P#-3-LcV&lw2KeC{NtI6_bfb17oBnpS-vgLsGh( zYi!&#mWDFQi~!ka4`Pi1Ow^P({)_#=*C7PCFd8%-=g`W7CgjY0oCB+JtU$0oRs1k( zZe-v~#JavHo18O$1Zj2x1KH7(zMV$*p2|V&bBOV_2)6ZA1mmO3@(=|42MTE-bXfLW zW>6`KU;Yg3lrY1i5ry|RD1^Tm0Nl{4v9T_1x7)0D|Gd-_>`ZmD_0$?AFZPMQ1xG>$ zIA98zWvJ%>AtHWDDR;B1$pWZ$veNkA&B2wyL|uHOti3eWUh_Bu3~2KDD@_Y5ilraA zb)_>W1PwAoB<3DIk2&Z49Q-2sDs*#up{H=9Kj8S3Z2q3DUH-{!&=9S^h)a3<%?K6# zU~?p+M2UUeqsz&__rTTRjS3OPSt7C%!GVT*d{wCJrJ<|RCwtXG!AV*s;i{#gg(3()`T=mJ)+gUhb;*#BSFFe@0J`m?{{Y zyQG#|@aEr?;1J_pMe4t`7zrX>+tbA~=bEO-?p)cfr z@gW3f&n?|Y!ON8~`>Wh*wouF6oWW1y$y@~U;rm3TMYjz(ZY$ChQ)c?gimBOV8wNA? zc)xh|ys;6FeVQ1-$Y<`?>^Pteabe?&5X_$ z)50Km&AW5(^S$$ngKImZt0#7c4=Dfh1o92Eq?mVJyrSjqpI0iVCF>pv+$4xXhmk{o-T!B zoHwpVnH%8eSG4bbR^-3e`^-;y26VSKI)}%{?UK^c)cG&gsvam?Tw3ZJov|=#&1DF4 z7T_ZJQW*esy9Pj9dCd~zU^%sU6_v20otvNk{7{OOSWD0we4k1{ZP76>aF2V|BCi$x zeC&DA9rd?^%yZY?d5@Z*sYSU+?yt^4fAP}mh@)tf}t2?wH5qLFrK_!gcPqHVl3Ssb4$rv)iB-Dqh;O zD)(m;n4~^O635g3JP}T}u~xR81nWtX3*2)Dmy z7n?I^L`$IMb|JXjdu|BVVTVo-;3EIAy4nU|WlW7F{y=zsU6KB3U|?VGcniObQgnI(3l9$%fKa~bIEth%{5 z53CgR1_|X(1M#0OUr!GG^)Sr3+hLJzWnn^Rl`x|6(92f989Sjh%gd9o#`mEMA6OD5m>WW(a_=($|^r{1i=igyBD+_zD;KO|U1z_QWf~gP%WtUb3=c*}Hdd^T^3lwIVap zQfE#?(`}9ns)vb*$zf+c+r|&DOJt;^p=HGQOoh}))XA5v)D1Ke`I0A(g$|8cw%$LK zPwRVry>(^9y9%5ztFHg>+(&-@vLM%*1zB6}=`aC)8C=(w??C_oH(o_uDHh@0`{h&D zeJa6K#yEei;-m9unb%!I^FlIJT_*y=ld44~(13^|=EI75G%k zb>GGh-U|{F2@em?4h{~+x!VPP zg0bKArP9CH=~IOu;u|x&bLUPBXRCUR!OyKRW_qs<@4C20>3`lv(h@nQGzt1R-{RiC zqK%zedUa`g>VJRtpD-bnx(gNP!6z}i_n8pVM^nGoqc`l{RKL&EDC?#E*2^u%OC$~O?EfZ zT4_CX`tGrjh=LY^t3;{%W(*P##}>|>E$dF5_)kerUA9oh%>VxZ;BEss literal 0 HcmV?d00001 diff --git a/ms_writing_figs/toe_easy_stab.png b/ms_writing_figs/toe_easy_stab.png new file mode 100644 index 0000000000000000000000000000000000000000..4f705f68b1eade03a0ae8f6fd8eee483ca013f1a GIT binary patch literal 229305 zcmeFZWmuHm+6D{=h>C)uw19NS&`1g*Ff`IFB{3i5Z<61{z`(dIFDIjpfpH!0 z>K`61_ziPxd>{q}Hkq}ww5qN2Gie7q2PchJre+q;EbJ|utj*M)J;A^b3J=#bd`YQ! zU%cV96&-z#h8@*eA#fjMFZgA8hm_A$x>)8_qwgJXQ7L zSxLSBv!&)O4f8$$O1zRQ{wBltAPuv4<&nSYa%k>q@?+j)>-zF3iw&>cPn&6;8+BHj zILmc~ItkJDF^N-3IY=P0uY)2#h_OYz56U3H{j9C_kj=0_5lcYjmTQ&%wDfmR2VTGEwQ3Ub?{=jhDY)zmq+c4*~pLA;y&Tl zmh8M zZ*sc$`%P1WQ#O8vr5UxK(88E>*)zOZTbOq>DeV!A&-2P-V5xq&vJa|6Qp7~A^so6FA{e!ZQY$Jk$k>-AH%+ni2e8fiOA z3oHC7ou2M8XD5yBatGc{>B8%1ujSqM2^`nYauVbGAN=(H;QLut>R@U1qI^Pu@EVy7 z`GUMJXH3=|eXcn}SnhH!6rV(JkQz$7dg7;^aVb*~>h!iu7q>_)EL>%rqi$vOSgo~( z#4Ft^K%mIaxA}I(4IJhq?x3cdN;=o>nlnq{P7{y5EbzaB3%Or%pDe`qvn2_|(pS+P zk;>%mZ_VH1F526T{f}#VDp}2g#NQFa$gIgc&I&RNv6Uh1`Ad{EM_6$XJ9XRjE7ANAI*c@w-DTm7x@A>Zq zRkAlRc{86Qn!3F^yt}=7yuTS@ML+KRG}k=C`HK3rG2*~xmt1e!lh~cK#tNNaTdeSi z&h7yfvD0^f88uVL4ii3}*%P%-6m5 zP=P&MeWl-Q${R~}K*WCacJ~8UXn*Vr@-hL|gp`%#5Ba2l?TQgEHG;-rdK5UDQ+ttn zsgMQ&B7M$hA5ZbWHcM=;opR1bRAMAhzV&OPvnTECxITp=wEKP>j{5d6TF&d%@4>^h zgO(GBo6q?mdgABn;w6r^Rf3N{wM=im85WnkEW)q~_r=Ue_tLy(aBC9-LlQ$?M(Vj6 z=Gv$06Zcz>kDjSYVoPD(ePB1LR$jwg&0PL7M#n64vc)i%gM6*rRf%0K3lSq@7I|06 zZWKzN`Qpbrn*0wL_fh9dy1t&9Q&T+?Q&Vf}Q|qqc>4!~|W64&Q&AVM|J>rjfU&mK! z2;oU$U=hB>z^1{#{7*k-5Mqlw$c(#x@4tNz+-VEXghuA>|8ldxew!){7AfAX=VSLD z{P&xZ;`RN;?)Nw{eX4YRV_50|0h%b{i%Q%um7JJ|E*j8f5VJlC*0Xrl^?HX=PD+@ z=pMJu`;;p%zd!? zH~EUe@3v)9)hA0)KqcnE7l#}DPab(c_^ScK`p)y;dFeiSurJ?m`70`a+pH~o!Tqo}!~K=Fs0k z)IRy`UkzS&=gbpm8(`_%l?RaX+dMDCSWLE}>Xmbw4Q49r7C^BNRTAF$<8&S~d`)6+ zahC4+!)s}Lv7H3{w^V#jG}sjmCtcH1_^e|NTVEFAVZXz`7R9=HGONay#1R@QVw$k3 zA+2tOh&OzG(R9xWeJ^&?quF~zR@wIl(k}+x)L?t6J|O{Do=uanN2!nQ=6mEj!6`^m1Y zQkuhN^QnCqb)xt}MX&g-<+GA<1i8Y+u(7XqnS`}Z&uk8}d!kjiiLo2FRUuu35N#U9 z6DgWUehw|?T4E>5SyR(nGe3s91*eNo4%Smu$@^%cI583C=$&r=z3kplQD254F@!m? zw#unE8&*8jp_m?}6khc`Nl{$cccX4;@bcnNg5R=>bW=rK(b(sBVdy4X@$d7Fl~5>q zxr_jze3dg^JO1~^TJ%6(;+{GWB#UQwI@u~MIk7mF0Iw3;FPYaWVG&qFXPwRdaq)wV zA#G#W4T1GIw? zm!qU+%0t$&y83f?CBr$!h`r8DjkIhSJJ;LUYNZkHCq^CVBVI41P0-6(k(_9T`z7Zg z6K%eir_+gh>`fC777!E;>}U&`qMgew-rjl6GV}a8?D=M^2CiI3C9cPM9;+oaDf+7F z{*w4uVaOMfHvTm7=_G~{zOCLHwom87kb33A6AQxD6t5Hg5%jIF)Y8-U2&c)5a(z?9 z17O;?9-+CgmPU8mgh`nl@k*9fx1V;r-pWNO=}eGS&DMvPW|5J=cD zxAb!!Ou8C7_dO*kw^Em;Po)5>u(jvxF8E^=*smjMX|d-!dyUU#Nv7_#ItI7LghQll zJ_itoP%u=z^2qqy^LSH~0s6SZ@fQ*v=|q4YF46y$I`{7GOT@h_H8~51?}^4fy8CNm zyekkN!uIzVW^lzXg8Y5JwMx@lX2lQrA4FvRB#jlu8q0hUQ(fM8U(g=)W|C<>=ghtP z8Cw|A$ZPv))wIv4dj-zwOzp6qZ9%GiJu+2OM@95IvA<-gfJ{h3W4$I(pC zxrWap3_o&g^RaNtdf-eC=S+D0Rx9TjbmAOU;g6sL$p>%ydBy0${qH%%Yib3Elh02h>RZm&9ad&Txm;N8>9X8=Sy_^uR3+CZkFqR^ z=Y?-^{679kq>?}Bg5ubgR1!~USc7*$*w7&EQCF=L78QcX{3|KQrH+8~R(rq%(Gf6o z%<@x(ja#y~`U!8>sZwP>+nK%P>z7`Pd@L; zlaiP|oc3)=5pvAbGmn1i#RZ%L^BN}VN5CTm=_yBCp4$wP^Q>6aTrn^%YgoNn5!Ghh z5|#6O^s_<&@uLh@iKHE=kI@V{JJmK2ix7Y5d z-r}q^ncwFVWl~97>n1(hO~0fRw&hOBU7sStZ*wfaVOKj7xY7^hDtSi(9X|2hc_On> z1fLkLv>u4tYa?zQqQ%0DXZd^lj^_X0G)Kgu3o^CDDSY*ZKRdP4CHjLHxKqtWhWg6To|F54 zk|4jO$HCgzlv8FuNzf;Jgp7Sr1C+ClKEd&e@8w0>=jTR&WnaGEoC;z~_cC=!7}{3g#st(s|{ zhH+J+!`tyB&uYk(|f!G2ursltwl z&5DgVcHJGM^P-|+xI><3MVk9!vdw&Z^l&ZQ?mq4lHd;=BXb{sFzxOZ~fS4wq-a_uZ z(TS&Fh=ec}-O@%~R~|>C+|K=n2LraA1PMh!%P7oghiavMwRE@IYpZP9`*6|*WCC?w z%dV}aj+UMBPX=w0I7Le`zKUo!Ef!vLrVC9Pk%4GtRipkTYWB zS;AU$;$I)Lx1iSB>3w=oa&xm^nt&cE2r5B&-y@=ApXX^m%brD2iDoqve;`iCIozyT z=^55{m{djYO|@wqXGWeBtp@hfK(JGk-ty>H1UJZYg)X(a_->dfF3Jj`o+=Q-*jXA} z98%@$<{6BN!jSWmdV_978hOe&ZB(A@_wp|CX(18qV_+?GbH8;Bu^qt zph|=31Snn|z24AjKK=8$NFLpDk*nN z?|MV#izi9Lh?!h%&-*s*UgbP#58{Lb}0C0=~_H+2rhX_VpzG6 z4I@amCUb#V*AK_n`|*)VCG>f&6y$}e{}f_AECUg3h?LPwDgjUUZ0pC+@lrZ<^Zch! zzpcFimB>cRoi6z8fL;1S>*KE`-{0Rzqgv&fj!!csyF+{`TF_WIUad5}3N!2P?P&hA z^Ih-az3xb<;ZTN@e`AZ^wd<_t>oJ_dww<;WD9f}rgWBS{3A@{E)Q6*?%}1W+S9uz- zkZ@ibesQtD<;$~i>k%5%78eNm1U(y;Iez!t(mV;s&6@_JZgb)B7dyhgHKt7~oJ*P~ z?$&?8Yww?``p7;R>MvPDXrhQnDyA~*9(Zjmb{s*Jz@tm45N{e2@tHN}%}0j#wj@RO z&3X|zEh_#~;bb0NhD$B7Smfh(L@J_vy!S$2GUE9ApS-?WJHhwz8=+Ai1PufdXWVP8 z?tM4R#oTw|G?aOi-G`htb`n$TmNP?(XDT0+XA2T{*9&D6_$4sC0=b_8mBQ|M017=J zmN^j4_4`xT681XD%{=;Ug$*3o}qfrR=Pk;!o^mQ#9;h^mOf0A zp)K+Bmox#H1)7XS(|v!pOmMLDL!NQI_Iv&X`vRMfWduf7h-mnBfZW{7)EwF-t9~Aj=S^=5O?MI%xH`JetXS^(~wPs37QX0XNN+Eol3`Z zvo%!GO**xC-wdi;*3LzQ4r=rn_dTALH)gK4S!vkApY9*CN;ixVr{SoX4Pn!&de9Qt z=jo&$`ykh6bZgVlbET$Rpzik?7Qf0w(jjUOGF0GlF1st( zd$zkKiU)H?A9%(h%@h#kLvt3Fb^bhLW)NeN`H_PuIyV9nMXkwPgGNs?#axBbHgl<_ zc(e29^2ER?|EUw7gHNtgJmM6ckD-*<@30}0{;EbXt7B5K0r5SC2Tb=5kxc2N#*0US z{=7XxbUFeNpx(vCK0rB0n59mb$12^ED-PS4k5x$kVOPwI+{ZKGWQdncp{(V?Bj>9~ z&z@{!P5_BfZE2;2(xzF2a4z5L#V#Ed^w%-NN-lXb_j&^40Fv6KP=ewXbD5IUKTS~LVUv1+#SC~BQv3$wXT5}A_r?lpmOf6R} za@9u$Hye6+S19zOd7%4?GnKrt0|ixuTs$`JA5y zvsgH`N&G`EQig2ShAYSoEpO;@DAK^LeQqSIM6Zgh77u*iYxlT&gPXC)%e^}(j7Rr5 zb#IblJZY@v!Gr2UDkm;eMJ*&-p<%FbzpFzS@;P!pi5<-wHL9Vw&$dbCNQif@eNgh~ z>oo$>c+EH+OEw(i4u^_vf#I#4Cs377w-X}G@FX*ou{_*)%^p9#IGS6H(;_mTRj0t9j zCD}YR;Hj#on=EvC(d4nu8crct`p#1crG`6rigYs3*GbTB8DtmoSqGRX58m3wwgVNiMx ztY%W{E+gsGG~-u-PKWXv*%mZ$3pt15wp>|MA<7*g{8g4q#0@UY-cw*7R^50g8_SN` z!jKBV5~5~`!#cLTEAAr;qzZVoacxP(>UpHGPY*qwqT1&5YE&T(v5q9V$(;4fpUI=dC&$?4dXrEf2KI}4 zQMVnk1itKNF-^+oZZ2hC6)eVK+uAK&&rga}a}o!idsst{-+m+2>Wx#CI7X_(89_Qo zWjSB|$nN(PAp5c0bP;E?p@vS)2B=r$AaAc|)|Aibdi$0Kfmqe$#c9!J=^$An5|t*B z)NQ@3cRrFkJ1t$1PB(Nom6#rSf%BadYs7w5VV6ILQY!vH75}h~G}@b0DRK26(KA-y9{HTLf6=y{9tqq=I=B9+867P1 z*=NhSjzrMf&b=jvn9H>~|8=L!0oJK#O{akq^gCE|WSPN0RLdjyMOjNfZ^b*Qjy8wJ z?ZBG8raf<|r9xPUqQ*mH)vI(GpXSah2hdO3zZmo(ZZa0*)kBNn#Tz+4LC3QXj+UFT zm0nk=lu|)keEuY+4IZK&5oU64!R%b^ovRA7C+VFlT(>qe&Q4~t|AuzcT0#HmQsEWu zqp&$yw8wrCLT|U`f9~^?UYUkaN^+yYp=n?1=L6WxK(D`3OSIK<*s_L4?z@=k^HH-% zmL@0vs>mT~cs^Tc?GtN%-)uY4M^VoJct#qFvky5tTUe>VqMgjna|-84R+Vc*4}}aCl{FVmc^?|)Xj7_t>{D*)3bXRN zQ#H@WK;uNI=V(-=XxJKZ6_F!kJQql(&pXb_qYs_hA0dQjRSq8aKU5JSUjk%*6B$i1^vuQwrjKXd6BYB4FWA0GZP*{y4?hp+vKIm6ClsR3 zzC3@c7J#|ryN%y)DX{&uA9B_Heuv=8DTdHJwImBn#E-WSz9X_sV{3p+L?V4$XeCxQ zgPGE}pRys@zvT-*etBj!G~x-dl|1kaf5Gmvb9UbaB+K@aJe958==g{ebY}<= zqfv9q^kLxP(I9n{&Rm-B#jy|M_T?2cfvB8k>lIR_hz*Cxq#Fny7d~In+z1w6I+RIw zJWA9QvzrfbEg8oD{^g=pWQ0p9PINT#cjX;^D0wwz(Mq<2LAFh!g(8hUmX|J{&>7 zYIAgy9jhEtoMDyjJxs1L|Iz0J9qqXN9s_#~`+H|F4k{<@n{6beqh^9eQPs~UB{{s8 z+mXIHsKyI*M%sm#!+!7Mg+xI_6F{P9=Z@1rTutXGRUC_Sg7@k~=?-p#zL)wz)mjZO zF@;5Y=nOLx*DIw{+knH1TWyKnxLG?aJ|4LWLT<+smTU4hik!DDTdwiMEt6#;&g7@| z?fhR=2KMf+v74pHk4w>!b--^A*?2ZjwL4|OvE4Y96w*jJ{}QrwBeV`|cXe@m7o;&` zLC3X3J12LAtf209?>bb%hEYuB1zF;FVj4s3&?JD8R$P@r5^h6fX-HU@FW@A!0#sIb zypCR(iBxR__@sCs3e*DA9A~fFc9ab^$+rYFtf_tQf2)!)hWkX9wQ;y2EnU#(QIsG! zX(Bf7LCFdKy<6eil~nxW_Z+XO;&2`PCP5~p8Jv1QXV@)k*lluequZ(nWYeB*s#vt{ zB4YdVv_$(U(XlG^bxa~ZMf~?ysZD8NsPkp=jzOV?0VUr{)gh8&SyKZ*4|ZUi4@df5 zyK%|L(|ASi$hy-Sa}nt&qg+f-%VU*GF|a_jkICd7bt(?BPD%bBQ;qmg{c&y(v+{(2 zPAoU$1DPB)#4t0{Y2(uXl9u1%L^HLJqTc%|mX4^8Uhd{0Y@Xr*EAy=tFvi%%xC8>( z{#Vs5uNLC9bEC7>EE8aI;)6Ux<(p-RHhgz}eh+YB=pF9qw?WCHl6oa^i~6TztSk`Y z0DLl;B!C`p?2!feMhea18QaY}(7|}+)1z`CZep0)q8@9P23S=DejC%udu3q~C9Z@Y zKXbCz3y7udSJj0*3v>4+yavligHq8Kr_-0@yL9Kwcd(?ey7>rKa^|4aURzS!?h%iE zsbkyqW&*S0(}9FIWfzrig|!VZjnXlzB!&2CN8cg{#ho*U-y8C? zSpFPTY+8$liTC_oR1-enjEvD_LKP)TRCrpB`Qfe)mc9{*ZE0G4a@P9Q=~kS`%54;T zZuMRHpg?#ojQ9K0!fq&6bFG)1NR$|sMPwnf)i_;S^|NFn+^6Rot}UVWv}f`XyNbta zx(R4J=~t2!FRYJ8671c2L!9WnP4wxeh*iu-XBqqAO`7-CbuMO!*m%6;6RT=Z$C9PysQf|=g!w}`xYtzGQ2BfmXyNwF z$&20$(wf0(ZVfm#ZBBU!har9F`__2Il6cJG1n!*-se*!E<*EtJFE?w`GW>B3xQCJ; z;YyQnoKXmSQc&TX*x^J)2iI~rfUpK9RCiNsOK-@|kYW+$OMSI8kICP^!)=~50pPXn zq{0g)CA3&=*oZ%gmVsmIZ|l}_((dodVZKdye$*vbU43dAIoVrizakPwrg=`gzTowHquaOm#^OKv zYjeUSx7nY;D}L9hRI3RJ_I9MS)WR#3^e6JgA3-1PKN{Vc0MwK-=vz*t!du`44anOM zMF!s#aQcd|4U!t2cs1n}ZP)vLv!oe>sGJtu3#?<+{T z$`b23-KtpPySxW&FMi#4oLpe)q;FrBlOh01K|2Msh_=fJH{lz{*EEK~bM#f*VY19T zA69Z?+4^h5?vEPLj;>5t&KL22iPHTo|EX(3bhB|ctnXO_Wx*Yx-xzcIvRtE<_k!*8 zC;3ubgnSZU%YZ7bu8y6Hl$c7rOVU$;o`@IKr+^m0pveIG<|aUw{UqJLINkL0&2-qA z)x*Dp`0I0Z--}RpZbp#XK0iLD3a{?=IDHSy!&Sl2>)~$0fUrwV6>%=?hu)RNMURxF zR|u3H&V?#Ui)!n`_~)vA<1{_D*{Yn?NefL~w_Af9Mp-V!?u97*24#(^hl6R(p`qH2 zC_p==Zj7F2A2P6_G^hq3>JxWkC}eGx%PRz$n6^g*U@}{A_o%} z3Woc{UDx+~f22r5SvV(wxl|ehE9LDvj#~_gw;I&q0r}<&eg7oHn^ZierM_XBmf|3Ri8XL5n+))U?%UU)R?O$5KKhJS+0f45DJiq=onQ0jV|_vueu~?3N2v)IdvoJq zLq4S1ExOf@^nGbg)XJiV;~Uwp4$R`JA8Gm(Ia7GL(V)@<;ClFBg>S)zai7EhzS-Sj zIaH=_l&~a$VeUh6c-o&`LNR4YkFXr5uzZ%17bEyiU9G^#>Tj_Y1v;ua!fADGwZV z^2>xW;!)HCOq6#xkFG@tH=~)NR>58LM~mY|+f@S4JP+2aHw96L@Fc5zztG=o5HwCv z(k6>Nj+?mbXwW<+V%j8|Z~6h4hFo*&zAv#zTx|o#rz@L--_cG}wWeze&l%X@T^Y!LmV;=9rOdGGd&Wj0y`XK2&itu*Rlq$n z(l-rw@En+gwk$YreTFNz^h1|gmaO|JJUNU>-=V4M@C%*kz#B-z&|+qSTUCI=yj}vV zJ+~JgXWGQeVu-w|n_*^Gr)6pfa`N$Y&vqCK<9S38Q-8Bvr<_2)K!&m6GDxRfvh7ZAtF~h_;}l zdYqLq{xtymB_*44;T*mR^R}8O_F4~P^KslnHQXmC_AJSAB5Ka+(HEMIFs|g)V?9H0 znKm;e%%CNb_reS2XBUpRH{nXEVFC$O|3$B$eX=aAEu()ooF7-~GJ@k=u}D&E-T zz7_?}$t*+*!+@w`-h`)zzb>h^4z*>qN)TZUs9w-b7`oY8%jtiUa@43XspH`Xs?%RC zk>T}`0XUsgaf~BtWBxG&6g7JFmaNw=2=jy9da?Jl`1&$Xe?q2vad4Q4qeiy?6TgQa z70%wEtwMFHJ+80S`1}6#o8Z!|}7R$rP%ldp7%M5}rmx>3VE?qb~!u*@ZR-}pu zn%-ed?NaoJE%vTC;|!qXsP+~~u?nqmpB#7WCg|H21RETrJE2RPPi*ktbNbO1aoiX+ z+G8+e?K+qh>ah!^d5OY*qWk*svbpa!u9h>%^1_)A>t%INriZ0I@+-TI@l%$cfU+pG zJQ!Q)5#Uw?rZ#1>ZQ>fVxN*zn#QUXP+m_;f-Mb7X}K3q|^zp2^W;b}7FBVW^+ zt?#!yJ1xs9`xO?Tx>b*Ol#y#Ru|+j!rSld;)v=ZFEoTc{{NetP23MegQ0rIrHrob_ z%^(hmK?WzF@8!-`OB?L7TQSk3#cu|=$~bxy{Hl9;=vu$wPvCSa|Is8qQQr#rcgkK6j^?}qMN3U`uF@+PB&X3{l1Vr z=zC$!*DdKbV(3bCSga76?B#e4sGFkvpfqws3mZ@s$uae=rD^-gFF!h=;}vfuBwa`Y`my@M zX(D0T-h+3>_%c#+89$MrXUEry?FlJwNFys(zoWea2VnN42P%a0=&BJ3CP$kub^tQ2 zq#8&k+H?A!wkh@qkitM)sIQDP(-K+PEnmRfxN}ZDMCSgfdmk|+P;hi&7uF;~#<85%;yUwqe0KQ27|k^I_`^HW9k`4#6GAY?9?apl_Z;nV%k1ab*p(G)syu?*7J z?@*Eg)_)T)c7huX^qtUva7zeVo_3j0bOoNpjn3?af)1Up(w6VXjN($mlrZm3eV*S0 zY61e!#NHpq`!|dSc8cK7bJ>l_7JeR?dAKtYP(q53^YaW=glkoApGx#;eH4IX@ZW#aq3okt&_#r=v_Kl<~r)+kIU|( z7DIt{TzRuTn568XpnR-cr-#|?E%({13>HXXFU$eVTYB=%fD)n!ZZ4a)HbS{@#s68P z&WwX2G0tS3lO;}#YGR9sF6=w<5uZI%I8Xj)?I0!5XvgT_bOorYr7Jp;?~{n}Pmat} zec9FD6#fnkimOUNjMSx_*%czlN+P;^@SmZOM&3tuAl2uqPHd7s%(MmBh--Cc>5la8RDl(g?m-w z@?-MowZjt_6W?&NcABPqMB}&#HL^>%gWmIfQ|HnPlaP~>);B+5DPZJ12a@#Y@Q05D zwBT^|&uH1HtY-vO058*SkM>}TS9suafh4yrHubV*_qQ7G@hvK?FI?%*3FXRN8L8gO z&L(R^%FaAq`yxHBo_f!?+2b5FeUS?vr;{_{O!+tgjgYu-8(5I@b@y{Xg(_Qqv#;!v z)pV?|krwcd=&;g6NKvtk4{7OhDA*n zmL{NIsbo2A&DE29U&Du~3r8(xM=E)4((9iX_`eOtFoO^!A6-bZ-=P-8>t)?5Lqc^>c8n4efSWI#Z!Kb9ssYl_LZA=(rN5#s zup91FW!@n@3)o;vfP5Xck{IU${xHjnN?hpZxBn2RaLTc)c=qWw<1j$GtB7Y*DbKd?iLdCJ^>h`vl7VNmb0gPI}=P0(%57A$3A3WH}ai-CUq(11BcinO9d2)_;+nR zQ$@zPUw|76tl0R}>G^a(0d`MP3pZvv3(4S~ZWa^Zn|k*b*Nleq$%2o3%l%ju&g6@8 zp#D&)`iK`KS#<9gu9q2VP&Ot;z=@tU#ptA;S^LEQ{BXL3{#-gPRrs}~JcV`f_P)Xxi<0#%~V+q;w4W^dYY6DkT|QGd#{#ZLp`k1+ueL5GH(w=J9_uZj$8JN zKf3jBzq2TOPu6HD&9juc>!`>$EPhYDD;l!5GsI9wQv1e3wf1I`O);V14B(?w*F*REvqw+^mG7=TM_O9mVlYj=adamrN%FHDP z&gOjJ#mWAvmC`dKH{~SmM?-L0N~{t&NqbHoef-OnGAKD~45{jOi2st4A=iwyz!M)J zvdRHkpPFnd8l5?`cddelcn-FU4@do!>IlPW8XSkzB>xd0InY_6mlX;NJM^f zN{#@!*y9)@qpBx?Mzk5(iFYaySMor%*&`;m5`^QR?iT86G1D)(M$p@6b*?;=?? zQ2i2Ot7LhK%n&KPt2c{emrjL_3s9^RrIciSm$dX-_12{mhDz9{lsuegs#rcdAicQq zd4H)-4^`4c>jo>VRLtsUypnpZ^zb8Hu}akMWLHw&J;B_YibR}+&g2Y>(bGo^VBM8N zN#-BEGBEPCc({=w48Zkmg z>WuUZEm=^OOE(jCdv#6j~_Ske$O{B2JgAeGIMj1qM~74;lck zJIMDP>6FVz2IZ)FPAQ7uhI_%~t4ZI!BILfC57>6D&kH}uQ0ZOu2?Q8F+c^+6O%l53 ztMP=ZnUdki#&;t6wg)9Fmq*exN&vntG{(PL9NFE5x?j4wN5q-%(Yf)QZC})UcMv{z}dj zJb$Dceh#?CQ&zDGZb+k#mxf16XS;2)RsSDli17KFg_>j$R`l2orM3zTGMk{kqh9uS zG0AKYh&l8f__)r%Mif`_$XNTA^Ea2+IUXn7`?9|f-XV|^?8}4KPO4OfZ*m^%nP;>v zi53$Y0+>Llma(^U6`(cT4mHI*s~Gba67-ePW3>D~?qXndGk#4f7H|Z~EG$O+aBO2P zp5>>6E#f?#NB5aG{miG~ibnw8@z{=xsaDc|*!nP)n{n6n^MM1Hir9PBrl2yOFMLoD z?-IN`98kroS~LY`mM0D+h|gaQ0Bw%wvjq>RNKCdbWrlJVKA7|{ zq+kh$Un&1>4LFHY-D;si55!Vfae%>3aB+B@Bm5(sRQjw#|t;|c~NT=i_P&iuypoS-R zb^6zQ&T+)!jb&KlDlK(Pb)!lAIq4Z+rjLb$49{{akKFhHGm)A4ufI%1U1?b>7jU)! zo1$VoSzHM}+UL{7IyW@5N6%TVFQs5_TL$PKRpKXg>!Rz^)dRiYXv)|KnB<2u~w z{b|>4lix>bQjJ?o6OHLixW3rCv!c4C(<^u2Pv*M{OQmgpnoiiIngTYiVll;*To_F@ z?ZZ7+#ttPlrw~mzCreqN0{mwG?{EI$?$Lf=A}IW|#LY!r@xWUNEN+x%ujojbddeHO zzN~*1a-97s^a4*q6-$=_Z~x|f90rwgeLo<_?;!c%H2p$ROaJw%HxQN|=)v-Nq_Y7J z>w&+Zmv-YWNKugeYNg=6?OFP~9Kuu^oYiiIXZtpk3}cMX%4D@z-tyuN(r_mlj1ZXg zOd5Hv=h!zNTNX_KQG!+pnDiOu-ZzS4sJE}3!L_Zt8vF~V6z(Sv3!L}ko0>>T#B+R2O(+PP^c2Fh8mH>IeM za4=}x->RV1o1l6EEo=XBf>TltI@F@lCV(R-oHXAcV$27ap}MtnX8&mx>-nrA@*Y;n zeB~o`bYi!WuK5kC0%?}sx0u)B*e!nbbh>%(AemMG`KY08FQ(BmK-Xt@u31{+<$u<3 z@1=Ep@wjS=g^f&gXZ56<_;*LE-n0^PG&gL1`$Y77+kZqnkbt^$&j(}Xw{p*Jzd&D~ z+Yrm)XP_TMp2m7+PA9gKlLk*&ENB% zavS|)8BQGu^Ajamalcy+J*T%T0D%m_&rEdF$ouG|FwZagw^>ukXgqUMnz-_`HJ&W1OTkKCX!J@j z{7J?GfCAgL>e2Q7IY&MpAeqMpaRLHpcV2lr_yV+tZvvOXPWAP!(s8|TwBrEnFd|hGlya+fDzw?y)k}0KP0OZM|C~Ax#C?^EI*rZESxGY`r9KYKTik;eVNZ1rE%Kmks~y}SEWQs>LfyxRYCufG|s^~&0# z`zq+aovgq8>7TB>DT{H<^c(BP*?-=Mf4Sg(DhBTN7b6lm|KQjE{)Gh0q?q{caf)7r z-1?vP{2#9M$8)IKfp;{78eYax{ZIG#moJyhFu~^jKZE|CLI2e={_a)(Z#>km?v|EO z2s!(NRW){>)Z6jT$n7>U{M|`Rai|82)=$CjGiWn2N-C<)_eRV@`@D-*8A20UC~w zdh@s~etJU%zeAhcBha3>N(kY^oS%d|NHwteu;yF zSFK{Ge(%4h3~%tB61(*JZ2EtSNB`!Ue0dO}lw`2~eX#k* z-%6emew7>*cb1p`H@Er64+1YzjRoN>`C0x<+E$pM}x?a&vx=&x(UTVEk7D5Wb`a%R=RGvH_ zxsT}X|F0eP>jb|vA#jZk^xU2Yc0goV+iok>Tep}3b>5iJbw>9;-CypL-d{&)cLPz* zHyW7h8Q_-kL11~Vl*BF7oy^UIR zh5lb7eCET3U$CCO)Sk4jylJ@l+15Qgp-gkGrl?t9oCNA!KV06}X{-5=ahmY$*GTN~ zDhXG$meNyW689&8>g$CS;o|=P4|{JJmF4=pfo>563_=7k5Ks~64gm=fq*b~R5m1nB zBt#I9ZUh8WLb|(4x({pDMRabI8mMZA>=6H{(s;On4Kdhmq``kABf+L{) zw}=5?FrO%b?qXda#gIb^_>?RM%$XSpdA^k&o`zr~m3jd@@3?b}51d(Bpuj8|inuSD zLnx2{j3)BVb6-k|dZFpAqXL5@c^rIXcfHpvu6)!p$uE5;KLh#0n>dN^IG2;>}^SQk_xwG8W1)jB^Mxo6u2i zzV(yUu5YjDz+P^!&?s+SN^;iKLND&`6J`k_-or*qN$z{RT${SmmQ(BIydL}8M z=G>HrV4NOtV-YugZSpoFuC`#L*>N$xQZ*|8O-srUpEkn0OHua)f!rf1A1GT*1du8@ zl_fSSuK-HkZW03%#+T%Zcq6EiltF#HtRDCp`pFX^dw;LuTO*kx_vDk)!O$10rV4d& zk;V+uh0XN)(@Qy_qW7BbqFJB0!>kgHYNK9pmpe5X&gMD6GQU!V(E?;IJs!A`fK8-9 zvz}}P78T)>h4T&`u>>1*`WMaE-0xm)C4D@pcaAB#!7GXj&ALs$dnZHhh8bKwrx zsf)|3?lzb0GU`lIG_6Cx&ywHJ032v75Wg$su#=& z9eJGqfs`~diJ3T^WV@@ZpA*EcEEOyhME`J9dlgnN2{Kvu+HS+z2N`+N=X_(1plA^OD!cPMaew7Fq=#p}VZBFRi(C@~qD5w~#!Wh&tz>e^gvCbs1QBP{R#s z9#WB{9!Om{Ad5mf&~LZG>F}9;9*UsvQAC*eGv1(!x${QWj7|LJ#Rj^<$xAESORcW- zA2{y_sDJW3o5XZfsLq&3$ajyl`oQEri9Lr!&k5Wtp8 zrdODU5Kbag4$@a!$uX&}pcN$BaedjWus7VkCm|R@$q?mh0PpFt`PP2frwcm!w>BCiD*WLaxm}eZ! zv*(%oK-P9Uqzk%pY$alS=FA1Y@8Rec#y3;GDPLrvESeT7%)VhZw zgHO)Q$lgf4*2o*3ezz|s03MfWq6og|3d%SP(P`S)}@B`MYsO9*}bW z&=D7IpzB%ME=rvM-4$&`bYel=P(o0Xu2Of#k;Yt3So}4|Juf20o2n-DWfQ80_d3?e~vEgttikJ@da;Eg&KAKDd$q!7m!mriZ6Jlpm73+(r0G3 zTc_Hv6!T$1*3HV!AF^%RY5#QMs@Q(9qKw;}@74)OnFqxFowY7Zsjt_Lp^Vpw(5w8ktNQtpN+0NguquZ&Cx8COR`PG}QE5Yzdz8 zEqp2IbjHFj&a~fNto764S?Q4O1i*Vv6@R1;DF8W3m#Xvac&yM#XA@H^FpP~NI8gM0 z^n=6-*{uN!2o>cT*g`vcdsE3b!7YVd@+7sdubUPNJU$F*Z7;~(I3bwQPU9CtBO!wi zFZQ@Z_H{MLa=V?v_k}^xw9o!AKGm(ZC>0-@cJqqYZV$+w^}fxf(5eAI2iNVAub{*H z^oBsgNa3E>184P8%#QZYERnp<&pdQ|S(aH(hHfM-4v$_vK48)L-Eg@_3pP_frnL)t z9rKZ-Xwrk+a9=H8k1bXcc&uBlTRZWc$MsG4T&m~dC(hXfM?mWxsrpmV!`c99Lc6E_ z3J}vMmu#aNry=U1am^sM1;(f8nY1!GjF-|bJa(J$1_OmbBXwaj`CVjfPa;<8&A{6^ zNy4Kt0DKSAZkN5|nXos9o|NtDtiIM)B^&gxls>vG&2F1XB{iEIIhFe6F8Qczk5Yw) z`#ZC=v4{lHq~dQrf0t#CnO*iK*QIT|N4YJV=qf+X^5w=RLsKjk86b8@`p=}h@FdUrB5qsB5l%Z_D##BAdTqmNRVzEQ-Q;!q4qJcco<8u=B8;`plM z#7D?U{qR4n)EDDh#Xnu8(sm@|%ZW{({b@)P3!#gYPubadzWC1DX(rqO ziesj`%XV|}@-$==6nB?^&qN+7Eds$|yA@-6mE-AMwuXqO^H!>&X=)`6B1g3XZ(Oe< zcFgCTky3ZU9VWsUJI)<`d^(I8@y)<_F}*`d{nteMyOoT|YdYo00)-rA-_Zvb|IoGl zsiI>&?EGu0PM#bsXW*&fHA}9(MvEu>T}tD~nAKSacMIzOvIWJf-S5VO7*b0`z1t^! zU|ap!zZ-*b?jkG0r6m`Y8bJ*Vgoz1x)S zyf1au58Zm`_R;v;*NO)AyWS+cYEX~YrEDRS+IThX0ckOicu@x*4blVWEs&&jLr8qD zfA#zc>c;S4l-L`!2=j!r)P#MP*-X`7R1m*T=`X39JXfA~5p88Usg6zx+z}ns#-#VD zSRlaJ?2gG>`=&~IIb<#+O{&nwJXg4tq|%j*^t93^t)Duerz>1)qMBAJI`7c|YOC0d zLd8mS7F6&lG^3MXUb#eiG`r8R>;}_(vSL;Tq*CJI?nJ4Xs|Ig!LqaTR`_nf}gJ(3T zZb&?v_Z!zD43RQd*sW0y%>n_ zw=%zus=qK|kESx41cN${70zXTcO3|1aYllR2$oq56o*~DyN@Bqhe-c$?7G@^Y+pGO zXu%Ha>G92sl@geBk$3J}A-YBt8O4-0e<}IB6$XO>Wq$RMU~&VF{S7oOcu0VKSVL}9 zBySFL{pob4bUI>65cWqXGwZ^qHSPh@8<~{+VfV-i!<3vZDQE;s&co4Acq4w67t(8; zjI|e{cY$%hIs_VlBy&D%hbL$SE5=>m&X0*s79{TO#Aiztuk5_@hQKU$S1MF3cPWj{A4n*DBXjb~Eghm`o$RlB|RegE!lUyMVTqXB%>%M)}_yfK8}CvGHvUTv18 zo=g_o+_zz>!3FV|O8kFGz`JRUev`cCr8Tr-{YLxdb=ahy>cY{=%H-8( z6A86F!?L+yA2)bk;e_*5(W$Mx=$792eG8c#LrJ z1fw%Snu0fRkv;#6W;#B*(AS$(5Etu6r0=g%7|O@N7HuxEFYddad8TaK{cNV{N~c`- z{%${^$v+C}j^k)C*D3*?iD~NA;Oa-0u4^Ji)5$OG_v07o-9?`}Z&c0u5Cw;TVz^s{ zQ6M*|v{(1j{yF6(crmrpJ|N0f#UBHXK4vt8>h3zi{uAOec0c0-A$1gVgRCL7)?=o9 z6_6Zn2no;GdvKi}`MXBHMvOodZpI<9DBrIeiP`)1{7?hu9dhXcv$5BJfZ0bXds3RxM zavC;(ODE9j#5tCDTN(@xnoQvjCJ6yoB@**5nltJ5vakX*4l0&FPT{R>(;@WsE57?y zUE*k6%b7#+Kb&jzj(UlUnE6Ot+j!U%g+NQ?6koxu87-K1*x^PUcVxlb*H-c9*}5i* zzrGi>TrV4pzAu$p^_-HuM3^IYFP%W|eO3+(P;Ya;*y!Z|A8kBjpj7R4HzqPfSD?%- zsH)!ND1SF_>gIGvi3OD)CL_p40;7Tf=}AON?2ddOL6gM#Zrqg~Igj~2oB0t>G>Vc+ zho0JB!w||Rr;x zDtaQ!==iS~j%-)bfg~vr>0lOHg@7#tMgcYV!8Wk3jUj?UJ^H|2sFeoC81ffDh0HeE z;S5va8HYq4>Hb1youv`J%!T$Rcrp7Zz(ft}`$Fp7@TCWJ=Rj|_+Qqd22^{XgByWEH zeUE8+e6^P_5f2cNy|CLMfl4o)?T4`3-N%nsa(81}J3SLX%j{M+df5j3NCJ?(YkYMx zK}HH{E(`qCjh!%XQi--V@LW%xA16tKg2n_$lEy(LG@L0o9nn5KN~>RtYl$0cFYvuN zi@vWlY)(fWKfFx}ZtQ++MyxN@LVal8_FJc5ppG2EJnhPNu9f6wtNEVt>vL~o6mj=Y zpwJ`d+n-!?WcgthmL~nBl5oFo!Gul4cP9sE52}4Ffl%4n0fwP1APzl%-6q>ejvtDl z7}|x`p%E|vYPAJQ7HiIreZ#nD^#W6j=||aYElEWoa{N9(@D@Cf&syEnGGOWoj`_JtR;R2 z;E4S*6YBpZpkrAA@$kPi@iTI}&wS2$&p90*UHO2+@Gu(P3M=h}{bTPF6|YGESd_o8 zvxlQEg94xFMM#9ZiypOu>bg`Xh9)h!MG-_T3(hpSj}dt&WNeX z5E?_4S4oq#E-W9Rfi^9K9aau#Xj9k)+Sb+_w5;2~iB%Z@&s7%!T?cP+>2=b3e>3 z>nltH#UEx#;T}-`H)__@;iKE4rIl_bI@B2+Lq|?Sq}h@D>8S?K3OMIm`fk7b7;{x3 zEM`9vgcj1I4}{9%CogccZDnTPD`@sC`}+L2&4%RV=9l;siD0u>PJXNt=lgyjJ%1-C zq-fqLdwECIs=+=Q@?(}{iAGF_BabLhD)n`V0egt0OSH08C(c?2eV>zT@E6HM zv18~c{%4E#3s-z0L>TQc-wUUE@o35uBf20v+Hn6=m7o2Dr0rf62mkrd`p3`{hUD*r zm@VgK5Kn@hu8hSTFzkLMQWb4Lv0@2E5F zTQvRfddS!5zrB~9OIB``uAi7WcC6AWeJs)QMC}#danmCs6|aK$(q%9Ka`eQIPGEAb zx#AmVkX8MtNtBf6e`iX19U%i`5ii*AzfvmTWxs+9Pz|~u!~Y=zbQsA1-Sr6kt*1&Kj()I{*^QwlF zCBxNg&k^|JUz2M44}U|9q%2*PVov;z4s+Te4ffm!1@WJi4Cl_Y>3$l9eJDn^Jb&udQmqL(r8*uP~ znlNplowEaJu%|0sf6$p{I9O*}5PT*SGxFD$rh;fR$(s9~{o6|g(GZSgP6#18;5LA8 zn^i+7O@!1P2Ytkkqho*>cN1#?XpX0W**1-HK7S;TXzw9?HFVKQA=QgGQj0T6YA=i= ze-RKzl~a>}jVd`JaStg&pv69cQL`pS?b3$SO28eSdyp@BX9I*E#TCN<5}tYw4;c2u z#rtI&p7D8O1&WdzQnn&wf|NBCkSmEtc%Q^ap;SDL0eka|3pQ~g0{`#Hz(+K{#|C@l z|FGz#SPV`Kv6~vwn}Ow*2!DHxBqpHGANvfyK`%b#gs}E9ZD!r2FUcjD@2d_2gspwV z{XB=!8zg-7YDbFCkvl9}Io6RvFNC0B4#=4Zh5+@zZTU4%?5m8{L@NGPH>`ki2l#tO zXbCPKtxsQKkL3mDq5~Yuv!yELbm8qqf$~9rT>NFj{y^__e%5rMA3F18+BotNjX;X| z00vM>2tvh%s8KZr+hJ(6@`s-XCi#s_qQhD_uilu_(q9V)ipT?|g0u{M_VUZ^ajv}U zjV98Yz^Pf+XS)lSl)|$->kqJ3C#6AP6X4OORvI4 z*r%l-oHrAkLZE;5B_YY`Ym_5ggDG&w!0ub1p*XiPfH)}tCT~lRDXA$kVEi&QzIm+l z>i8iLm^p!#56!JEjv(XE}f+VJ=Mj)(AVHI zp%h7p$TLb29$V7Kzxgea$RLXo%$`m}U`Gl!aj{%MFCBex!fwSV!3WbY6~lGi{3N0^uZ;+w?KZVyZ;RJxQX6X&bM&I@IzcS^zR zh6EJ)(!qX~V=?N1yNr`DDPrNR?e&dqV8-Pi@=w>Z)5xeiLe)c9K_wOVRD?OQg!+^h zNBztW`=unS>sLwFo&j`MGR-r_5qiuRa;)M8@#i3Fnnl$6x43Z%#|h3%GIob_Y^hFnT3P#w`LVo`NWj$>C6`-)Ur9d)Jic3MV$)~0-$*{J!#Iy> zr`J0JKcg;fG-;NO3ixx6QtN6b%-9xeGh9nne{6K3)oQjkN3Z#YXw`=32zUSZL#_+m z=0R5mhuA1MgIsMl`i^X9HHfKyop|4sW)!42^O$qv6;~5w^YU;*Fx#1~wR~e$m*Z}ToAv%7w zMylguyXQlW9Ieccxl~!tcZV%@Z7sr=RBTdW3L*bn0dm>+wUu_-$N5*n>l$bIjWa2C zpm|4e(RWfQG6Z+;7bA`U6O@i`_|qcKuvVN&s5o1ZI`)BbHvV382e7aVqpzHJ1Dk7? zoGx;>{&>SRO=&6X)Zu!uy03|+Qb*aSZmT^XV^l}o{A6C*{yO%{32#(83l6;m$$*W(v-nKx5y<{ehXN;BF_(oTLcJRdMl$7bhvK3FR6@r+t;%}UIbb~?*; z+mGY^{z;zQ38=s<8?5yj{(?i9ly)V{m=Gl%G~$_>UR|$b$`{Ymvo>zz z|F!&>^eLF;C+XPL40UnK#NqwyZUK|OSScikBgIuoWzogDCXnrZ!_;X}rI9(-hxZqs zz?T=?!}Ia@XB9FiOQb3!=FgXl{Ow|^bX-ij8)IqOnpkS3%MjuO`b+=-iptQl)~X10 z0?U<<|Fj6+KlE(UJWR_?d1DCHXm+&Hj{lrKU309?r?xpG`&b-*vrG$(ffl{+ zMzPY$!U!RC+%AF;&PyBSpAE$vXgN=tS$~{ks4X6+rY{`uEG1Q;;4gW+oG*3!e2`rE z`V-MK86(9o4l1KMGS~RUk=k0UL=H_@@lW-)%sp@ zKg#c#%lGtm4&X5d*XGVCR*Tn>H=f#rTh@BF#XM^te;6>EteW2}5;?8tLYK1bx^mEqw82)qopM+5U7U<4{|2Es1=ho86Np_t}@ z+t^Sz&ZEu*2Xor9*mG+(t9AeHqm(4e-7+Ogb%`c@0(LjF%Kc zn?b9=C$9gVVKHj8EYP}36TH~7`V zr^aN4%|dNSFx*tSwUUve&Ej&7lxQ!CTH3=QSRSOa6xBOE+|5C@B+hqYq%<*zc&*7P!uY<41=?sIM%S4^FUvHh^$~>&wtg{W zj%JuAE^wsND3m_%;p)>ujnwZ3qQro`_Q7>`M7J;eYLp5n%1=dq zfAAW9l8!_6SE-j32kA_(PKiZ9pulG6*LHb0ScXbT>GkRQ&%}Hjf4+5+{3EOK zg`r8MysC|$QpV=h$JFZIl=7SFOKvT5>76k!wVpa&sZZxsN}5bfH*<5kJNAo68Idh^ zKyky4Y_DywdZ?k>4jCP9E<<3 zDABN8A1f+uGmj8Db@UxC|KYdGw^L`RL`p}GD5lfnY6@ONk%zaxA2@@)wR>guiE+%G zlXU9($InlM5m8re1o<3Nalpl;pdVrw;^>C*`C%px zd`YvGSjW4YHR+Cbmv8sp4VE;cNbY;E+*(!34+_U=yu*L<)M|77o=aoom8j~+Bxukq zPkkOU%4V7ppuMMx$JY=p{I<@QudK{1UU&u^$R1YPQ^w8Kcw1-$>-cyI2wO z1tz0sjVCe!$nvj}=Z*O!v;L}<2vdL&u+@w$ecK0oFZ*yytwL*2L}Tr)qn>rC3UbfU z&u==~;+ONiTG&izh?tQWh3KY%;r9@Q6xX91>8pjxu0WK!OpG9*;w_}-cuef_ZEqQ% z%Cp_*=e1gZi}vo_CYFudp~=F4@M&0`Zm%#{o)EGl2UXNp4~>Q~Y-T#4<#pN1;isFC}$^VRSu)xpJeIIDNQ#p`ScLEA5$6SL{Q^Hj{XUR2hC=PETO~$-C zQ+I-9hv*u=lrFc6>2}258yg!(@^x_4phn<~QY0f8-LETE0EN^H?6P?Dms8pOENSW0 zC^7%Gnj%Hk=!y0iAG?PtB=sLK1*#<2cvn@KxZ1y9Z5rR_jt5{W-;%_px_* zpRS?ZxGhWJwzun#i+RPFeTV>eGz0U{Q3@0hKgKN~9XX+U7T8R6v!SYfu13!oXV0!+ z(v2ryyo*b)vc6938SQ=N{#^yWa(;!#LoZ0Fd~rv~v9Pd2gi%p_y%Od-g@s8)Nkuc= zI|-)tQ#SpDYfpLe3b{J-rU?(Bp=08b@;&?G5Lzq&L-nJ_;a9oR*Ks$dPm_oa>NYIh z-PFA(I4a-VNPXaw=$Okw_W?!6f%w##1A_gV#R3dByu7?#+a^IB|RdypuYwM zKM>(LLM1SBb(zI`NL-|+s16S}PP{gi95bx2Emg&zQ%C8+0KlectM=Zj_ z-p%&o#z~JXo1e4#zHdL*%0;A{*!hO81WxP%UhMUOPn!0V@cwS^ zf9s9%p*{9Fxwc&`0;4A(XL5au>gMI2Kt@-cYYs*<6C^9u_YNxT^vTxY~U^HxGRI_gUYcL^s35 zRt*5Q+kc;kI)@ZLcE0`Fb5Hm^8@%rl&nWw%JPN&^fAa3{ zyLfOF8E&F+V&0C=kPZ6#2K@D#XV^Du|N75A{NRXps*RuHrdLYhe=S2C>E8!Jq~>^b zsYPF@U~GxE)9h&)TQF;?TBm$zG+EnpzV|UFn^rHO`^dJw8c# zVR~Hl`oGKnA+!}3^~?>L|9TgZ?jd4lfq`PG-__!vRePfbB2eN={$KABpk>gC*Lx2u z9jJD{rr0#RCf|1VeV9R>-@i@c(H)S4IcpJ#KX>$R3qi_v|0c}ybz3uq)qlNv4h+_l zRx#cG`V2m@^3Dc475M+L@{jJ^7kyeEdzJ4Q-v+w2s-5bmH}f~vpT+g*U-^f@A>)p| z^2W(1P)S+!r*%hGt{nYT4=}GB^Rj@j#e72|f|K>Ms*viT>t`NZsDBKlnJ;Q`=t8ZX zHfWrXE0gF}VnhN&@#L39?kJiIzlSP)16Asr;_F^_%xDj`I#m8HnE^~qSBT;PnN?b+R5f*Ue;>pEzy1wlCtKrT< zQ4$f=pPLywCbQneYsQD?w?`dWRG_3vmGtZzptxu`#hD#`n`x(~N5Le6i5CLlbo-r6 z=HW39rpJjyLr8e_+V>np-`5xQOQ?8#F%`T>Z9UWWxNvbVdYXk|>u-W~ z?DXUcPV*whYqgM%Shu$`66*5hvN10iDr$LA@4gAm!=}Ba8!n%!q8LtZ6ZfcAXz>Hd z;HL-)ulALvs}-Sm*3<2QP0$^O@{) zv*JZ&u3+X#!23LE&ACgrShcR#7L`1xH8G!F)8Us>nQDEmRy@&OE86+St@~Xcd+xm_ zNu#IB)EmM2bLR#~Z|@1yFC^XxCYZ?bervWxIB<1}qrFklcxB{9Na|D0T!Ub9T#INO zbu@h8eXSLOqTau0?GB+rsjc-}!J3xThZq{$jCqqxoLC$+fwReOywwC}yFCf{wSsas z#>0JPNSj3a-nqGib9qr8R?nLLlM7(iDzr5EZC(C@bnAt0x(XSD)FU|Mf|ifs9Bh3e z&;-M?P@1@ZOT1HhR78`PcbU~}jL)3H+PZvo#}Bpe2rhg{y|ed1&2}$tM(vie%o3R4pl?b_ zj_(HlsHd-2m|BmjeAhUM&TP#@wC1ztIIp9ks71b~d2V0-MpoawPtNq0&&Z`>ruLEB zT0yygRO7gsM(Abkq2K*@K>2fa){ULW8A}z#qhCztvLEbbe`MV$@N-zOrToOpG}@Q6 zmM}aa)wS5=(Vo>nHS?5?SiY=mqEO$-sy}w7O(N0@A>rf{}9B_8fcii#06${n)TydHRX zPf@=(7dxY^x;@0Q8>CN#y3swo{?fd)Zx=2dGVGO$11((E;ZN!*8n{UO)b7dqw3cbM z@pr5As2lR5jHkKi`U>LTh2HivCfHDHqZxmf`#~~O%^_}ev*c5P;CEH-xw@F<21Wu= z*>?u0-z>EkIDKqV8L2X8g4hzc)PxSc;%Yf0X&v-cJ!6ZvS9dsuM;hf1m>gv`Rvs(Ra`?;}!8EfKp?;ZFsvA|UR=FW`}un{-9J@VUOwSwD!HIt4s zj`9vGt)dz?91k7e9>Q_B#_}9GstV^Z3f49I+hfI!(?$n00Xervq0WVBk`Q;;q%DT5 z2KUz2!WOtSBxYId7E%k6Bkm&_wLK_t*sf7x{3(v;5r}ACsSR|ZprA^=yZ%Bg2E7gU znj~63Tvt8KIW~fm+!#zdb0x`mE1T1P7+Z0!3~Fb(2CPpx{Lw1PmHL&Cy6~kQTv2as z`IP{y&)Wq^B+}}(ZH&LGRq~0r2Dhmu9>2zu7JCB5QA?mXJ;6+o>D>)ffVuOgT=s;g zSFAsQM(^%=EfkzlvwEAVU!*!YmO<=Ov~EwM>rNcExWst_AQY6O<&tMbE37LOE1 zb|!c`nY_^d#XG!D1hEIliIjNkfBC@vfJ}}}k~U$HpZ(jUe-6b_0~dVW|NlY%pIf6> zOeccwV*G;(``8gj;0SiLG|5c_w<;DZ4{RQ~jM63Ktbr!%|^-9_;qCi>Sjs_4L} z?on3Q`BmqC9rYFTxGUq$Ki~)QQ?JZd%q5}=*1jJ8*O=qS`SH&&+~HG36_d}t62Jr@ zK4++&#AMA){PFa^26pg=HvUPX-wvpQeJnyQ0M?N@DzhYeI4}MA)wU-e5_{u-8gJT5}q}rZ$`&DMH=9feJ za1~&P_=NOo7Z5i)9d3klfqG!tC&i03_{G|l6hB9Dp9qmE&7?&9U!-bT@IKUg4?P{+ zQd_TKFU5n~j6M`Hu>+U85w!Zbev;&(t==$r4;93`w(C_S^Hkw*Rs1#ESxu7jA+lac{3LlS?4wR|fw-%?h$v_`+Y4)OU0h@{KgehZCgVyCAp7xAQBcR2B{H z%p1XN>MtBN-#Z-3U|s~ex#I}zygqrGS4pCMbp~$rIA4kiO3Tg}1oH6<7j3^)H1GgH zzc~k#!_>}^EQot9%D&%Nns9|pPc3}4Q3yejmO<75WY^II1ZOtW?gXW#a3~!PSc;$|KW#U17lJt0RU>55FaHkFMMRRDBJ3GPhttFTX6Sh;rKE zbr-mlPiNk)6s~#i=EQg}9(sxgdRy3wofs{!QmcuAWJhXO-@!B+x?n5Ob@zCRAEvG{$* zb?C|GA$kvO$K)4)Y#}t~Gc?jyhJRU(YgmOQWb$peG^0gadDO*~#GV6T>&&5Pge3{6Iq~bgd*QFkOr?4YZa7SoqJAdDH z{C?IHTy%9}alV4%L(7K%NzQ~Zo}g;t-7JVf8}7y#PquLo!wwA*FIe5yHt^xue59{D zOUiPUG6*`c&SV3x1)Cl{mIKrR3nf<(+?rJ6K{ota(> zVrSN4%s=PlqV#4%%UeKoWu8h$ICOq{_8@HJ`10DfYWzFS1k`dJH(Nh_%!8I1X9>2? zF}Zha$JNu~pk#|l1(<_#W(T*vtjW3Xr=$osS7WydS>l#L3jva}7((u(08S8jh1{m4 z328IJpC_jHqeGUs7Cp8ufm66G20w>{iTkP?4QY9y-OR|yNZ(oQ>kbZYt~Nt>KgmUA zAI^3zhql^Ym2o8;fRvrUEa?+A;0Bi-f>OZ5E1%)giK@~1fGQ-}VUG%ka$cF~?w%_I zEBFFBgBZ8x26s~?PIuKS{4}l%ix2@>v}waY{%EEb!T!z`l|}MiS-)2wEe3*N`YoF2)i6QDOg3%4S$PAEJi*= z0hPdd5mjW$5{fXJ;QDJ_&5NBFTuHT*Z4gOY(7tXlef7PSj?Nd!FQfK?t?x(N1*!A@{LYvogOIZix!u4|% z-6D3KBHN86!r4;hy{8R^^~|@ci?d#TGXBuokeoeNqwr9rxq*)Ai?&vF5v_e(%|ely zBqZ;w-5j*Sho92z5-<{2pZL(~xL!*AfQl*Ai~UP}`kD%!xn59hQz)~*w!!>ZHnfVY zFl~7+d7Jw<2#OC}5ST)Z>{X4Z<4Lm{$Clk`K<$KglMjZ9f9V&xqRKANP_3afeA+dz zp82!{MT{UeC4QQb*UErNBW)E@an<9>PqC7TbHF;FAEou3CH3Sr7>n>HHt$@jEZ!QI z2)UqSR!eMo!qB==S!q6OHd#4KTY`KCKt8GohfW;|PoNa;3S;oOsy*d&(!f@-jN0^gSGV=YiuTN>q= zYg*&nvv?p9H)pA0-PjmTrx;=|z7)*<(OaL`nfL;MOCV#6IEJg2>Vabl1Z;G`A;JPz zj;q&w)GflQz6fKa?cJh5nw)f|6GNQc$oWBq0zG;=K?`o2NL~l~F>7bW0nqHq5V(ZM z2ntbZ1wT0)OXk?94#xgewmZEZI4nR$1+5?35j%O#ma4^NdLLkq=;@$_gk>+^XgdkbYA1u2FbADzcS| zdQKrYzhN^{tTxC(l1?X-;?wfe(#h72WnjhNBNLAF1tcs& zjghlKpuu+YQxx{`GjvS?#KTLJbWj(o@|a8Fw8JvhG)5W0_2+e5gip7PDGhrsd~lJ= z7^9`$Ee~hckIrx3A|#NH&g@kT@ur?HGSP~}i|?Zx>&#ws9a@(CoMu3)P3OHsvgiIv zDMy+n+D{`ovvD)hgO_C@MIhRSyqjPusEPfCx=ituZIPn4cZq$MNK;w2me~VbE}TqG z+}`H2I?Zdl>ah`fX)GQ&b@^dI(lwe~7fl7PYj>7(4<1(>%T-eE$dY+*UGSoSAm9pT z<^2ZBQhIAvD=@F@IS{y(H*v|jE_hCP*s6cn9zODlz28XSb&B|c?F5&px)CndHcB!> za|uosEQA==t(DR}@`wc2hJGbbBWR=7>fh}Ycd#&gDVtJ1bPw;W= zsXrd?l|XwfjlFrQCV-4^2`R3W<0Dq`FkASk!j5*#-Ejnb8@OZc+7}DavT+;n%lk` zC?3AcAFu2SZe7kiMl7^a7WUCFuQ@d9sYzS&3?YTrB1_N)ag|v=`ecSvdIaT{&kCTg zGVZ)g6s?OzlzKwm5ddLD1W#dCCTCxFKN}Jw`$SRe0|~f5Q4+@2cOUh}s~IcvzV8_dnkS{9N|mdAV;Mi5L{Y3>S|kH?ktDoR?u zt6ta;`Z71FDACu+ur66Gnbt+?QNP~I1I{1B z>sfrL+W}S~x3=H%wq`&1oT-$#jB_*RBymeWI2AcJCYnN}uUjUiOja~O7mZTmie=fB zs{WS~2Tm>g+mL%B&JH5eDm*V0ci5!pmvrB0G$5}PqxH5T-yi`({dDlAI=Zx)xp$U7 z)z>fW3+)lH?pAfUFh)MU5}a2Y+ef23Uk2Ahb+-o&(RnK|Xdkdgb+m7s7}z_L zumbYDuDZUoW)&PMc-Z?cjVMA`paJpA3Tlt}WGqYGtS0gG z7l^4Q@$;8&%R4W|WXEo-UoaMIUUllj&?PmXC4RU{+-iy64O9q`TltMlh6L-$iYbFh zDX6;Mi@ee!roQfB!^CTg*sG(beWIAQiO!CQdSl``ypiB}&vDkYXbGH;#oN=PMk0)H z?;;PkgK#YjYG2jj&K)sUUG`fs} zWIiY?etbUY^L(k|R8|)|6?1FhyQTBDLcONj9;rt5aEb)vCBLFG?3ElAUI>tti(c{S zid~}CEpW?puZxb~ys|W9uEMyd7UGwDhihraGbtjoSENtU?tComyW~r#N2it9XTZ|d zbY4q?Y)nk4*RcD>!<2;>Pr0p8+N41>>yha^dFnfT9%tMljMD7p^r{4KZphScLmwMX zeJukEm2t)MBRQRmmtrq**#%hF7M%yuQ$^~e&L$}IzJSDq-E?T{Ad7>US!0Eoxwf3PbY@m=sTyNxIejt5VZ*bcVcj>p4w7auWe*#cgehYPD{nBUAP1Q)6ik7 zFMPhxXsFV+SlA4%e9{a1a)$!ht#k$CngPl;OmdgiR?uz=}=zNmmqm zODdO4%bRC&vcYK3;JCnDo zfLc#cIkjaQahH)>&gafLLL{qg*>5+aJa`PTO?nQUwwY=qu(U|Vx_8_H(uLj>kya1% z_XIr%UjWR&K6}NpwcB$={7c5VBaZExdF$dF&!z+R?yk)t0Z)sbTP}ecsuHQ6u?%Sa zel@p#p)VOH^mnN_SV%aLyYR8|OnySrzmdlK?WImSAp6xK%I_ z*(dWATwg7>)+0?^v9}!`Te^KzXaTh3JVG631bx*q?nrH|fagfWf~}4lu{V+=Hdgo; zwY&U&2>2fCXtUQ!*GkB`IuEW<_31YL9*v?8WLl-)UeL>|reaf?!i`|;P5PHkP%a^j zln;Ca8n(yOceP$YB|udn00d+n2kZAdU-4ZyJ1(ZaDYZV~usiYXTNRFLj$XG5w5{c$ zLgHR=n(L0W6suYeu$CkwjUkPZxehd!d9b4crU1mkrj}1V0Vtca)>_ZvI#5lOYRF|Q zEkVx|4ss7n)tuY`%#?u<{RCsL2G?1saUUZHTEG1f_NJ)0aI-Ld$(-HUX}+{{TQnGL_1Mn_WiGEB^wBC}P+xOI}0B72y+b)!f3J zglh+JW{u#sIhXFz)tr+f?knM3mIh-t6(gKZzD)jExxw%jax6W9re~#Ue3?`)@K_vx zL+@jv4@W%xtBf&dh+|~H3VOm!5v0P+^4xd?9S}Jdi%?HV!o_&Fd+uS#)i&Qc)9iDY zXmoAow;^W7L;CvDfnd|w$}jn#Rt(|6rU@#a`=|HTp+BJLWiX5RP;_J@Yy5_xeI54Q z&Yy)-zPOW5w*77$jpor44!y^V))Dp7Tpu{k5iEcq1E#0I_Z0lLKW-@=5b&Q^>UU*Z z76j8((FCv`k&MMb6yYb*u>X}8$A}(e-<1qK00#a3DBNp#fFhdY`Ai--?tgm>I_7CA zunPbCK{~j>MRvD-6e2C(Md}fh$4j9eK`GAfrdhXO}zAOt5Z=kEl$d|I=;q5QowVUO*(Sp|+oc?;`-+w4ahrQ$AKPUR? z_m>=8eRoKXC^*04{;x$4$Axml*Q6)O#StKHGJ-E@BBB53w?ie=DlN#f8BU|6l!`qd zw~IOJ2)g{!0(VmX!ek7_`f{`U~3it@4dB)l30KH@_|>E zyFpg-!bcZ*{htWu?~CpD5$qmE*j#GY?|(V)+{++lMz_wZ<@~fKe_JpiX;{kte}VqC zE`Ld`ko5ig#LjsG7Rpv|o6K!#)s%y)$xw;bf^j>4Q8wb|o;ylmo=A53Hlx00gBZ(w zOoAO;h;Qv;^g(F1aDUmcHswPTP9-ZrTnF|IT?q>wz;HAdPH-dWW_1OanzAX3mAZJr zZs9mPbZ%?eC6((R$O%3B!|^5cS6idu+=#jZ!+W)kc6g3d9F?Mwaj7~<*arw<(h;m^ zZ>4Nk-fHr#tG`IoFNy&!2M5W8N+H>UrH!Jrcf+tNW7^*ddQ?*IEWS(!E`Ar@y(L~8 zAP-fv0%GX@+hZv1HXx6Ilav4f_|oAfL>J5A5#pi2-MPU^a3cc#Pop7YNXM?sE8CeH zI%#MnKy?0m#(aR)QK+SzytBl@mN=##_J+^bUywtNLLVm$lRtf&_V#BV!q8g(3rbP!-&SqMo%7y+}f%ibdI?(J8sdU9IV z+Rq#0za6tjQfdbt_!VA)U3&7?!QV|{1|~W&)L-P<7&bj>2zkkG9nyDRK&#lL;xSr7 zEa^CLk*j(fWspbtX1KR%7_HMk+U4lXn?bcT3)zjJH7{+h?m zW_@9Ar_3_DEaETKM}By-2MWGrs1|q1vPZ);(uG;S7x8vp$&J=sF|>=5j5vpiYrgm7 z5rMLw78F&fN-B=Hn=2HUXk{gu<aYw460Mi1Q+2JI)%v_j6xFPA^`X;ABPk`fAs~B%1(=5g5quxH0(t*CwQZ2YB>eO1 z?+0u3vlJ5hv|C=EMQUQFAKX#Pg9KvaXrF!@5NT@VDRw}`8IimGDHyf8XHwn5;HBv< zDxY?!mD0gQq&UUw81S0Rk@0Az_f2V%Y$btAbg#bR>aRAY1^qRS#ke;8!TlU1 zxF(CCVcT`z*5ZD#^f$O_PcKQ@2&#OCQVi|%w1Dt#&B0J%&uVN62Xd4~K+MbDZ?IpH z|Ch*}5GvpJdcVI>Z5otI{?Y%#+FQm|*){FMHdufnf;5T>(jZEQ#RW>Jz@||FX%M6v zK|m0Y?ocG8w$cq!N_UrZgLK0?Cs(+)_jTXT|HJ#mp9=fjYprvwSu=ASbBx=9*b+hl z4je~9i^b6z-I~5yJzuqPNJ->N_?llqGLeh`9E*5u_-42>F{D~_h(0uztNf#7)PxlE z_EQ4yGtvs8j?3PDIZ7kT)ePvj=@U2hEIQghilPNX>G}`Kw<^C&>87uYH0aT>9g0v{ z@T!_x1_f1DB8J7@q=$W%wlc$VZh-g!!F+2ShejKd?f_)Y%p=S5f4YZ~R`l28`wwaA zJp8779n8;31k0rm*{<~(J!R!?RI#4e0@4!aWK$GmlxLRAu(dxnnST(g+OUCU zXxzKcdE73|vt&KAcJb%ffXvBKY@cL$zoRg($gKla{NCexiW47HkA;ZE|0v#_E_Q)| zaVD!47o{kzLYwaw)%5Ys#d}-D=+l}npxM@IL}hIoP-@bk4p9F{a(WRimWx{6%rb^} z>C2AwtP+29^JoSS(;xBZvB%50F~;uOlKMOD9IA{qNZArLPU;FkbZL z)4$=<%taOcM+#@KoSKNd&tof-59?%i9%_ti7||ysFB{SzAV!1*yyv836Qv0Mh+a5k z@kXPwouYw#dIA)v2VpaRGquo$LJnsT8ch-lY*b0QMD5II>KEq@ z$p~Bxe{m~T?Pud{e2Vd<&5mM_LD^MbvuzT{S6Ta3F|_^FwGJ=MIBq2sV83&?x_>}s&fnoBLed_Pb< z@ab*tqdbKvd`UMZ6}wN$p``4Y9@cWb-@UGUY9=?{7~Ei+u#F-6(|eQCyc%Xn;t%t(C1__O*Oe zPXzv|m~0V-EhqSX6&bJ1;Ol)?15$9@h})7>JKo0<=RrXR!M?QxFj92$W4|?~=(9cs zI~ZVA#PBmo{fJoRyAL}1dG$Ft@gyJ(wWeb7oLv#!!C zdC%mq8K4cJvfoS}LYVFnirpU~$#n8`sJSMo=b z=e7;^W{Y2QEi0aBf#s2}xzf*{GhnyX7FhR>Nksl4#0};)FoxoeFviWSg?p;N=>_8A zKo5aOv1%`(Y**=}`SDg(%BXf(XVPkz1B%6O_GL6~Yux+wF&Ie1NiM3H-ug()S2b}D z@oh!OjqV^tlBGy8=89xwuQ&z!S_Cvf=h~cz;mGd!ZHp4a7PWtQ8PhAFrbk}6MaPpf zEuoycx5)3AEDTiycvV8*-()wv(O=_#QhK5m;Y)M|HT;f-%rTy>E0xp#BiVC_V-3^ zf43Am%=depfJ6@Gsgqo{3R39o*`o<;iQ#tnU$aEkz3eiKAgBAWK880jfi5X=A(@Q} z1x0T$3+U)vN`z8kV-Aatva{;tVZiuJ2o$;C<>QI)CSuZ%oQNjmaR%Lq7)n8ki7=2+ zzWK9D+xRiro0ZFcS2By zG=L~UgX%*y$04HR4 zk`Cz##(|_0uO3Ja?a+x`z}&agjd$St3CY7SmyGp^V{1R(0#2>*y#<0e#mG;TSjq|*qYvLVS+1tX+)tOZc0bZS8J2M;+X`rNu# zR9^FFRQrE!x<~e!DXa713>=$5DAmS=q^Ds!b31lG<$%0KT$L}F!`Hgl7=%|UpZ@$c z;(Rl|wcq|`e@bmDA z-;VA*bao>QJPxoQo{MVXOgS?YaYw0tlW&nDOj?t%$!cWFs#q z2%p0K0xV;GWRtcrU6X)W?lZMs=jZpSq-ttvnWHRr3m${+451RLJnCLd1M# zcYn{sh{Uh|hBNI#VtNXDn%FBqLgN_O2j#skiDFov`!yCZ8YFO2s5F}Yij(o+5^V7@ zCLr_;8mMOeF9x>MRrn|W#h7C*n@CxdfB(s^l`Nq{NX4V=D07Sr z{M-I=^dSsxP9kObYrCMjYOwCxBVyNn*nIwY`Vu4NBeq46iNnUC*$u&Z-jj?Y_ZDnk zfMU`hw6s6&LCk^&Vvfe0fFhScZsR->h92)&FOv>B?#lAy*CTDu!tM1mY6yi1yu&<6 zf=j?_C`G`XpPq&`mkK~W-_%GiZ!&HW+Lq%1oU7orbXP)fv&p*@0W`AG!U4_*zG0g2k9&3G*`fiQqWVREt{imS<4f0->4*g5UGhk7-~YbACd|b|09HPE9kZ&^qXO71Na9noxh%X-j;8 zcr!ZVKM;cBpeq$6)DaPaBJVj!o<+U@60?g%(K>_*uR-OQUkTa=Jq0@8WOT+te!0ZA z4{^dBu?be+U4LDmj@yU$r>WoGPC)jvsZY3ZHT@u>Cz%X9g_=@`Mo`&>Zm*FBZf<(U z<80rP7?s&V^FwGcjk))sm=^-;0N8LcD&>6sz+*bq3O&t;rFn3ZYUd#@PzDWxh<7KW zcInIUaxCm@KvB*W;fc4=QWOK9J8RCydUt!{DI~LWLk1uv(au^&J>ASo%>Y-r)J3F5 zqme!IFCy$HA*=i2jqW>lz+~^+*1ylww9d;BACdMzVn#WF)WX&7?!`Od7nWrLQ%NG+ zL_C9kc?YM8OFl>8GpiQyK?Eh3z&YY7u>3x+{_B*>VSGMTB_O*GLOLoXIS;BX%a9~k z7Br*R@%2(s(;Ut-oxZju5q5)#+^qBIQ$4-pn1W-)hfz^%2K13tl^xS`c!w+JW1sas$0wkMYm z*cho@w!FcI(3RDJu5A7-!imifUZU(73<59iGB~8F_sKq#b{AHsDXdsLT6Y!PexKL5 zpc}(*51L~%G)@@;X_6c@7Cp_*OpWCqN$Cn=FmQE`9>5cAtr6v^h->~$ncfCNovO1$~=cYV=pM&b?;s@qU7_QWt6$3lVPmo zkvswm@Z?LumDS;{jpWaV2SbnVzc|X=Ubroj=Xh60Bk=!)jjShMa}i!&;6X7AUqYzi zh}G(;(xWHOJ6jC-hWp}+?+prrDLcY zI3A~OoU%c;t+Jzdx^g+8h`v|wygqcn0Mf?@h1+a9r{xzd8|S+-2b8i6l*{ynUc_M% zt_4#$UJ{sYbbb?%&29PewB%C&l2QR=`{W~C59POll|*gFH>PZ3yV%Bnn>i71Q{PM* zZ2(k6AB{qVsr6hFZXgHWD>5FfULc~=65oExWoNf+910`=Hy}Pk`Y+JOpeNaQ7=Q2X z&bq3)lKjG$a#XUt{BX5mkU?`rL#xGt7)v~KyCe>@_0cDqR+jGbc$;)Vb}>gkFf}hF z*+^!1dUP5LpKPZlN;VwfVYkOQrm`$KKkAwev% zfjTwqf$xK5hI@XdY*@$b4eh%bY29&=x%C)r(?k_61!aSA&Mx7c=XIggsS7&u{A;}& z(ov@Cz;wNVbe?6@-u#ap7*JWy>! zrbiWT>dSb>Z<3;w7^d8t3=nRy^sw%7D4zkDz9gDKS80;V`U^Q!&Gz-y(0d(t*xD+t z7^~)H$}*+XesS16>hN7<;eK(YLYs!zo>F7(BfjQ)nM?MeP^X_coa#q<8Tc@}hBm`w z4CXj-#bm>;QTfBQ0$Y;M|e@P+a&a!8h3n4`RKZu zO@D^xs-d}Z|K?g(=igcYX|Rm>E8_7DihEObvvKITjyWXRI+q|?*($zu!<{q4+_Wfy ziZN-+WQnI~cq(qrXrN#P9oS;93BO;oniQ_1)JNXa#-~uoleI@DeW&NVk4Rpj`}cG= zzGfrS{9bRh{DGBvMU{S&K2p?LgQAMO;K{@lt>w^c1JBjWRK7zCKKN~)BKBCWv|Jfa zvK+NV$}`HQRo3zdL;^$p^0mtLT+1~nk*c!&Qlhm1d;7~<2oY;ASk3FW^=u|e!?Mw| zN>LM2VTVp7+JwTnc)fz96iMLZmNE8goZlO&YN52AIb#N8Q`NfRg3v>WH1Y_M z!m1h}z+`Fi93qMtR;(cXwvi|TC*jdVPyO`oeYqLis6q5 zO*GH!s^|p-uj~8t_E&AUD;g@_OnhMD@@(tI z7yYcRIOh8GkiPmg!@l}YuMN7dRR$FNxZ0kdpc!OFh_b1a@AqgXrJ$n!kXL~mn7ww5 za0RWKsZ(=>z@;3QeYmIUwoutnv5d|@^zaKHH;gmrM78~7ea^f%%wRaK21-0w z$_BRU2ApBrvm=!Tsr+vXCnb*Rlb6c`RyAJTB#HsoPHB$j9zM{fvZ9RSGR68Q<&}w5 zhXdrQ7_^7N^22CU{Vc~r8r&HuQB_G(L#|2>QNkvKsDclv-;<`&rlN?{WH&9+0t-rS z=Bg`p^@J5ZpCz`}65GYOw2K?CO_L}ec~=is60{3Yw~0+N zRU>oKhs27<7f0F{#bvqWx71_3znS_7-n)J+{(DkN%Zf+TC(r5!@w%GaAo);Rzv(T{ zyD=snCKI)6%}m*`us+w}PlVe3lHFuKMOG0IAQF>d*`YBSvdgFi?gwSv>YE-YF-cmU z)nm!CRU^A>AME|5oWW~&?RIh8z4`@f+CHN*dxDQfs$L{*a=J6j`56p+==s=^v$+rn zn3ha3q4w4tKB@;8K$_ z2G}w6$gyr=68m0Wfbwr|&Xt(yET>29Fd_wq`=y~E#Al${;ni}*zE*qu+nRc}T_i!^ ztb3FFx~sibO;Hn342SW^J5KexGc#g{ro_wi<}tcBW>GK_!OfthQbFXT2Q?4!MhRgT zd2#n)M;m;iF5zG=hEO8zWRY4Hs8sSLJ)PfFeQB(Tu02O!XV`kXwn~hwC7T0~JH2@J zqVb_Erj1D5Z!r(MKbqcDS-`1;NBMzQA+bv$r;KXV-8NuJJIrM!3l$IWmC8a*aM2al z3|liNsl_NGfMmpgrCov-8z+xIXa!RC0PN|}3^Eiadil#EWz}+BzB%_9T95gqkv)2~ zw+K65Voajv8YM5>&F%b9EM`iIV&v^B0`|3w(bSbxv)y8;O0|49v)Sw3Z>$7@3l1~e zLCsBaysMzD`XW@&cF4xN{*kCZ(e%JLAz{RP;!g5?Z#VT{xi?5xTsfUqNwx7^ByWm5 zxpEg+kgmYB@3YN+d}U+!4qsJ+b?jO+nk2<46JmnU)UIiW7#W!{OLc-t4iT={yg)eI z`N8ARrcCcRWfZ;NOk+QEuvVOFVHBRBmNetKai1*vGE3fDb3)m8_SRTZ4;02#vB`kI z5kMwLSv>XiLn0YfhJayz!G|>6P|27i#<01c@t#$LIqa%z3afb|ZzTV@WgG|3AyxA< zyR){_vxCw3^M>m;!#Sx^6~srDzH+gb>Z)#aD>(H+3%AUTS^RF4qkBDBpA^eJ{3l8aDUs*7JXGs_A!C|qe*@P*L$^NoSITI4FvdtWdQbcaCs@|Tk%bnH<6sM?35 zPm~ETl|&};5h@H2eCCV-_~BwMMQ-??0ce}c+Z}tGs%0Qhsx*1(?QN?$z&-|{Q+8tS zWfDmPf%UKWUOj^S@7I8F>#3-^>@KW=jPrxyV>^sMYgzHh#VGuHNeCN?GYz_z&~0yz z3!<6gHHS8I3pz7-3di~9KhBf{8X zgxg|ek7I_@r|vwVrf^=M9R(Wpr=%C;&qk42csKL$%us}f`l9M`kaO`ySn-9R>kUNy z!)8-YD*nva;CN~fW9%NWORT5Hoq!CaX3^8rFUtYEYeCW>HJ0Yb1qW7>)9X)6x2GiO zxtrt1&HuPRw*)K)2Be@qb?0)n%(x`qLiv=QT!z-e(IyHgP)|%rs!vAPS2=boNvgot z#kcu!7)e27k!xDX1m)dg#K>Jq@i@{uxzXWyUvNDwF0o&X1qln+k;J&Ag^y!M3A-SW z@u!=a7rGpflH;;UGDGqqWnZKv>1?lg z<=YE`kd)Bx&O&at+vJ>aT_%8ixB%?IqV%$kGe8|-rnzkuE=A0rLQq~gsPP;{I*{q(r zxR~X(Bt|r3h^luNs%t%%^XO_Lc(a*{Eh;9U(50`PC}v?Kl}8yS(bmMr2WY+v9$B+sD*2N1;+!)lywVUqk2lJ5$lu z&oJX*f#at>I7|Ep z!s$|w5#H;CHzj~Lw1WWjp4?m8+a2icdnL2ZwO9w8R0($%sP?}2X5|(2baYOdLo&}9 zvQIaatR`azp@||zkVb*pLh*Lc-dPE#yZ+hTQDoM;3P-i=GKH%K#tGQGgxF6m#xY{> z+!dG%VO3sKUeIg}T&gXndFjX)h|8eO=PB}e zJU(EMU$bBEA%;TB$RpoA!^Av-cQA z4R=I0{LY6hB7oeyRY$%~2tsi>jg-0T)TBH|1P@&AGv|H`WW;++=-M)~CS6#)2zK%0 z!il=&b7&Hzkb)GcKt)i?aS9}ZbOI4zc$>EsQ-MKmn_nU!6bviNqBL?pWVOlzK&RcEyaHKD+-e6GO5JPf|Rsn@Jmc_xK(bI{ctk+YC? zN8E)0gQjL|jQs$@RwYnv!WhKck0m7#9w0IjP&%}OV9R7x$E36|tQ_v!L>T5neajUL z-ap970AsoU+HICWCsg7g3dbwRM@S6*6rg$aOMnJhzA_phd2n?sQU)t*k?gN{B>0|jfe{Jl)Chy31=y1N%&u(3G9ieLKb;ONX2Sa~85_(@KOBqaCOt zJO}gvLua^_in4Z)A}#R$_)DP?guJ3AMnDD|tePG$#_-vT*D&UNPXyr~AtL(`i^v-i z09U~ky4tVotEKOk|M%Ff^_jau78cb$4P(+~+64TtjY`u4%WURjK*`ID8FK zqo1<8vC7m4=;Go18fSSVV7wg?3P(p1f>hvMC~5ZZ=Pf>61|W$sATa^?yYZDs2$VO9bIali%+_iq;B$?}n7&B9!uQO^o3V0mVNAe3id z3Es~Mgbl3U2X&cBVUqRbCT)}84xfZ7LJQL-Yyo`#2f&P|BE7?feJBtgYy1b?MXES< zAc)(>Q$|ZXXNCWhDC*?QTw& zmA*bX-A)0{Xyzz#SpYr!1Gu{90p8n%8qY$52wvQ2E=;FaDB1+EZXL9TF!tt?@_h*Q7w?+1se_AK;w$OhIcyKTZZKB0)m>}tWKkKpse25o(8INj=n6$z<~K^2{tk?TmKG* z@hf?8@&Wz*6)!+l3HH+B_6tA|ZxM-3EC53;1!Lvbkm6#!M_bh%&(d~d${ ziD?RW9GguD#(X>*h;5KSZ==Rf<)2i*{@EtMgHr zXH+TRdVt7}!K^%e<*}Jpx39nj@tsuK6ytj*!jKTV0erX@&?30~8V?9rR5!lQB;tN9 z0ny`6mc2z5@NG^9v_fI!hdmt5foCoH7VuJ_?I6!dc-1NhMSJ*~&C%9SGW9 z!$k`cr4XZ``}96yzAhjm!6uuzl=T5)Y}AcHh($jAOxwB*WK=i}qF$dQ_WC8U_@~cs zDhO6{P)9NogJl$5eCROQvy3nuL_=wx7lKkUs>snp?j57)WGol!-}y-UJR1htWL#)W zB`F7BOc|+c6q#HfNsDA?>!wTPvR&Iw5*plu)OssSUgrU*ZiLfvAnzjPX=!vpyvV%RIzoRFB zAHZ5^(JXrP^}f3ch3IswBQwcJIW8ceX@tLZXs|_mQR1=pED*}vm`w1J--;Dsc8?*@ zh@DONah_Krpsil(4|&TBy1dD;WWJs^N!kbPyMtvU+Ce2C{sH~!c=El`kKO^vB)sxe z_Qg8V&m)0C?_qf*Udun=Mo4PH1_eSlltIlO1^$y%ohD;_l6_AhLG%rai84 zL`Ys5PhL~98c<=r>7LZL=>GkZ@^jfp&)Vj#-MyK<%mZJ}@6=8Q^vc(VFGZ|zo7;hNs9C9kS6$YxQmLC2mB1$w%>{?N5GiJ2 z7%8`{=N|tKk`r@pUfn%HAavm1KYuuWI68rUo~b_=G21CqC4s1vPb!1is;1Y@?66Dh zX|QQrK*{kLdDlgVNb6}Ynv7GK_bYmRGMZdS2I|k;)5{X^st3&HdUJJ(>G1o$>dFOF z6{9AC-pSjZ3DHmzUYOd<`SyJLp|p~jCu;QjDX3dNz~wABeIo|Z9JqGB-a>n#@x3t^is#`BT_Myz*4}eVC<$*_+P`^U zyo)PF79ajm`&G5rB7=W4pKs-m1eL$0Z%*&V(K?&}zw5SVj7B#+uJ4RWKRVe%rzJR# z{<7?3DW$-RW>j^mUaTaNeJ(}$bnA}($!d;iRSKK{!gH$7;ilV6>VbSRsw25b{iM4{ z@x=GM-B;DkE5fFueXeW0niqvt`iqNI1lNqEDCe%Kl#fB>!_CDkNIYzH3O#U9-6(?B`RF!pv8SPs3DM>r~Cl#xK$oR zFa-TKW25avn=*A#T~KE=`q59q7r`&Ih}%1I9R|?nhPJy)3Al2m6 zJlLM`EZ3Ox3qGUFXW}Y}&fClOEQe2ZWTjWDE>%qhHHM;K&lO*(og#iMUm5%D!u8x9 zeJRp4tH;B}--0`A0$0e+sRhnQFiu}fQoS{8qB;~B_+}hWklD0xf+s8baKdHg!aUj+`8=(_qriQjCe zz`w%(1~U_{=*|`W+nME~J6mL9{>VdUzZuLEu4TSEc#Hq3MCkQT7vq4~r)-crdR{Za z?&oHW>h2IDhm!--yH#(yMmwG-L%S7@k-Z(s@@m9ETd<8w4;`<*q!*Q-FKjtQmCT54 zJ$~&fT~YM%D*n+|tM~Kz(cygdqREz90T-^$Mek(1jG>C06%~|DR?MzfsomkEW8QhB zEcm26rP~#3oW>h*@&M&l| zREyO-7Tvlj{o~h^2m&RM6FZSb`;9UHb)jbxKk&Uo2rjk5fkS`)A(SITbJ%&1<};Dw zi-X0gFDoy!t@TLWZ&ppt!NFbe7>mvr^pP=4xtvN{Od?KbD6I!8fM!o8r(O>9yTQCu zk%0G6ozrr-*=A{*U84BF>K3P_ziZ_vaZ>8q?z6kaTB{7VTdqXtyt!|GhREE36{a|p z0voa-VM~cX`d;tKT&FJlj4gEBTEhEkLsp6to&1i@Bek}#CkzWVbtf`Z({v-}J_Y72 z?mm;Ye;CyErQ>YS?z7hNweYohbUtOl(%hP#xngHpc8YVXc%FEVa^T^X&6~BnLJ8wD z7wy@m#*_8Gkp)p&`xKL`c-)_65ZyU8dPaIavtYcy-rlLYaYb}EZAr{{W>uizBF3^H z3q){5s{6noIJWxSfV_lvrfq*1sPez?&;9o2O*edG0-qFh`H1tcH9c@heE*{damcAR zy^sI85s|+|=fVeWpln}e{QU}$4?c+$Dsa6OLVWWK&2OXl{hvZ79Gg?A-x4MXOpkzK zP>^;@Tot%G>QI}U27E)eSLwi5aiFc_v?k2eb$rV;)~ua$`4+`AGR(<5(o6wFtfN@=&Ncw0!zKpfukI;WGNL z4ctzD=yWR+`}8R0~;5N6te$3aw6IS>ygw#)Ex}CK$}tCfYo7vrmLxt zQC%FBnTGtrnOsmCOKKNM0pIyeIFx}dLdxvUWewin273?&dr~OQt@RL}@kLGw-e24B zx|>icia-VE$3;#~I^*U?2cZNbFjU5na}%lJ{j{bjf;F52jx(^go@%9b4$Er5D4e=-?T-m6pjFh6aXYf)lJq3@+PjPd=JU3D`FaI`B zBN(VhdK@j*cT#%_8Dx_b4!JX^0|8xz4Y-SdeyO}nr7Aek6);##zN#Q!U=~N;A_$<~q-rb|lX26Y?h)^JE zfc(%^V9>l$0$p6=@-yH@?zKeiN`KK~3AbJCdWMhJJ-rI4&8D6M9FZ4L9!G~guh&8bhn+zR*-VBD5u$>XH~XZp2ehI$yGvovwa{=Q<@}#Fq(0(m zwDHJdnpHS#=dQw*;nEemh2at(JkpFi!Y-8aV(`|2fSOd)rHR6n1d5---hu`VvITh1 z&UABiR`E-{idIXU=lqkHz&b3mf=eysbztYKaW6d))>8d(@mDPZ5}bJAW-9TG74; z;Nvt9T}WI`QOpiR(sMe6))h$SOO=cwvjPYUr2pl5z?UFxJxQocXTdAZ5?S^WsNIVh(fh_M*G#@Hg)uNN&m`x4aHyQmjTn)-!Qs z^+aLj1jsL|v+$rHf(cS7wBoM$e|>!!66ue_ZHs{FS3Qj`R`FSe92{Yx&WrV*gC80w z3qVErT2{|V914?n^FjkIr^)UtA(C<|;IU=;@uDGwG93%S9ybA@5EG_i?EYZ z=qgY_LXpD1xxQc#ti>jv6NW(_pE&mhYtXa=-)B$U@*E7+P4xkTB({8_gsTP8-&B^TF2jUEk(>~uWdfRsQZ%1D|`{vJk4i2Rs9Lmu3&I?$F z^1BRTs5o^fI<28Ws0J`--1*#q0U`w~fGg0HJ3%Z7Ki3c_!);c|?4yin`PC$Zj)&^w{jY?92Av(2#{ z+cTPieh*{rRe>1W6?E}#p21KEJsVznS0b z?}hsKoIW3)cDeo6cpP~MCRV>Ou>+m&4g8$?9=)@cp-=4oL&i!9zFXVUJgz}}z$Qc$gb8&S5YZ3oQouTBw)2zr5 zmw)Eoc<0bVRkNRWMF=^M;bC7=LI)gq&i*(bV=680jBP=FTM=;JQVyLWXutM-_rDD0 z@2_k1fmiYW_B>c(S>e^+Y=f4SBLJu0A%<3mdnrw)?b>8hjO!^9R-x`JeMPrA08cak zBtRU+$qsas9&GLAJWl1^TR-WK{I%4fj~q0cZ)#-TY!z-%{Qj9|lHj?Us4UjFg(z@A zF616^E#(5=LIXT?qBG_bjly7cuOJMfyW{DR(BR`L$QJrN2w|@v^*0$GNR(mFbwKXh zAm|J7y|BuB7ZUcqNI!z2o>#I+p%a|);OM$!tT{OyC84g3Hl848rm2m-;DhBDw}zAe zmXz{Uu+X@{PysyaiIN@wYiLlawwWfA%@r*2iKf~8R!P0U@JTb9RT$XmK&!GC7On(x zI+#PzT{Zaq8c@c&ES|)mYP%w{0m_Vrv$ymS|8_v99W!u&DYFX6savp9# z6$@h8Hnfng&+bV(P#Q-I7gPW+(%SPLEr1B850D-_il&xip{qggAcbKq zV}2ceqsI9-;Rw_kB~B)QN!35S+!Zndss+YKsh%>$df&Vq3bY&WG^rn|0TyUI0+-eo zb5oU-Yj->wA}c+~u0qp~fI^b>?k{TJO7!)Fs82f9TwU?5kLxLG(*DEo@2yQObs2_A zB)Uyxf_ry@pwf`#;~k9gI#v<@SRaB^oz#CtASWUxr&Sl4+b-XM2go1@{EQSCsFCtV z;*PY6^NO9KXNz~?eh&h!zT(zon;Q@7~#TzmkpA2wVU9K~lLT?jYBw=AqEK}GQBaJUB6k!pmx|&hxq%>I z_0MPTL)P@GyaanXxas2|u6Y9`j)yOq&-Y}bGju!ZMaS2Yzup|MY3WKm?EC=pq&Kb~ z8Y~R16x?kU`NNeJE0jY_oGC-Jxq1kjnhW6`U^%0;ICT>#_hz+0?6(ND(A86>(vzjn z0Ih0rK?|PSxLZ5E%HiPQQeVZM<&9UH4UyOJ=SL{7t2;C%m0{jIp7bRgxQ|{S-hrphQ}dJ~ zR05~hq**}YVGE>VN6)pzh~O^>6x;O|SRxjfLEIIO;v<0A#uY@U?+`Mnm@>4cWOa)H zc}{u*T;|f3Cn#i|V|+`3LaGeU=PJDs$x=&bIlPPZ@QwJGPD znI6OKLs5^3E&`_uI^aGIzvzNbHCNliG1ub(J$UL#516PLX~nmo3i+qj7lucHlbNIh zCAwd5MEWe1>~~f^IQbgI?W_%`dI2RZ@uN}X4-%8i7(9o{2*^)&7YF9t=+R4$)=O%? z>Up2T4KlF}v_>*Vr_xImC8U)ERe`Ur)B4UypSB8 z_O`~WVV+Z)zx6DNBl6^SZMsVQZ2i2=c^QmUW6S>wNQ~z?|)==CI1<`Gj+Ip}Y{h8BqgP~>@OZKk3Y=E&pEZ=Ce5m27k6+!=x)wfw zlmB_xqx-zcw(!=`Se7k*;&X<*D^sKbUM7yn}b078$R}uwEBKXGs$CSE^ zEO&gFd-XWyls15lGbXDZ|M2afa|GTle*$Dsv{e=KdPF` zS@tpzltb=R!FZ`jV)o^g#Cn=7&P|Vp#a<7k$;6BqH$9q?;}UW*!gIcu&UCUReZDB@ zP5Xv{F#&-BePV+m;sk#$2GtY56KlL7Nc|xr&+} zU!7(v+&hYFx2hrNd)~MD66&}7*wiZ5`)}QkdT#;BDAge5Ko3F=X#wA$@?W#>kjak{ zMk*Urv=x& zr^Z9L$wGvqg^%`T+ba}Wna;#y7!G{mU01Fm=8bvh46LS5#Gyc_zr3GJN({^0&eW%w z-^1A+lHmFL$;lhJb(6=_wFlNgcJm$WVP`OE;xpsZ6VW3;_8E3T`7mn<7KXCV>H9e? zCeYCh-ja%hjUh{_DEqi^K{LR<+h%*H`!h{F;hW}wgn5c$_TiE98Bqd>)N|hW0FXSk zLjV#$a{>RG2=1G9@*0S!@Y6#^ty3o{^#P=S!*&LlX6ckQe+vy%tPvRH6 zI`+PIa;R3MBGz)fB2MsBGnH2ERsPlF$S8QO=T*_2O^UFs;DV*h@__LHRo?nPak+ql zr8$pMP38n!=OiK--pnWS>T{UmQbAk7&f?`J3H@%o_XBncY@)l=M@I)0zec6LeaU{j znnTo;mCidl$HW!^rJncEEC&)2p*q<#a_h)~#!@J5t!?qwEG~E4w9|m~>XB5tzlcK* zA5eoC(NdIN9Inp0J>gY&9-YkVJeM=GS-0f$+D=Oef*EE1rO@_r^z8(yP>&gc%?neG z+ODi~=nSXD7Y=+J+J)D{{`~yXJi0CjR>CYI?ly_~Ob1P?!~-9STg9E=>1Lq^lAsIV zMLP84yXYVZV0^{|r9*zQ)aslC*e98#AXZWn0h zQV2cYG@u5&>gX->p$r^c2s9$@Ur@)2nl})ywlrwpAm5rFZJ|$e_|3z5bOc=KasMPi za-{yHjin^wNNNZq-FfeCs(CS9DXi#5LK#q^G)-%v(o_bLSsDn$aZRU1Hc{DjK9&{i z{<1WT6~nuq(UO0_<|*T@>dIPwW~_|{3Qz3mA$MtR$COBMYnFCwMfV}UERVC1PWW{! z&sggaqRLq@y9i%b`2Dt0fyEafc{Gb=Pp9VdENN?+ym(|tKSfF2D*P1@e0hU|vx0YE zZdXV8!CaEb%C{ISKU>Nk@hTHIc$^;@>D~d~j`R$+Z>M}>LXDsoHIA&K&$k6o9Ocqp zzA-KusW>t-5!%!fI>mHn4@%3qbfG5Tz_jZJ(NqZ=&=phf{QMNjT~$L{xgT4Mr11wj zYJnFv%(yZ?Fc6}73^TnlCE{?f^qlEkS1D(_r|vFg%vkd!IE3V%Uy=ho%52Q(IjDeM z&}?}}b31$^g9C}NAB1x?b?pGu6$oVm>HwvqR8+_SWCLZmrh&9MGGt;v}IFD z!!Mu=?VfKqqh5Xr^O7TBY3yFdJ$+h=*BQYHi6Z)F_$H#AY+{%aZ+CvUdvaj0Otu?# zh5FP-ic-*3zSW&=Xvk!}7jt`p=qXmNG*mnq&`S1a<+vL_D%GOcgrqku@YP<=z(9%4 z!G_#{ zg6K!5IB))~1u%I;g`$Pm_*>t%I*$j#5-&DBl4QHju70*A9{UwpO)0@v@F)7i^(O}x zk8>5-yH6A>kB7yWYbi1I#0U$p$+v}|7>-*WcE4$u1ch{q=Ef|LsGA|#6at>ODOsaN zO`!Z&lR02t!MswgumQ{Wdpb#KV;#NMS|* zJrJyJRfuokY~=zb92b&HR)+?(AF_#TLD^*liZ@=YZoxttP$Z?l!UC}q7$8j2Onr-55Oh2g|((uqFTc1V;=R~JA%OCkz;fIZkwn}u6(stgp_#@g@geh_5zd69#;p8o*b=Pos-1wW%ZifPp_qUV3o&JW<_G&(C#ANyw( z|Ne;+NOt$A@MA0^u^)4vyF_4#bUaaca98TYKPJTC3yhysk@JXb(gBK6g`-_mkkxYI zBc6D=c=Vx~^bL_;$*_OMj6Ckkk(>%G#w%wr6ONe6^4DY=N#OA}?(rL+``6k3N(Pi8 zj{JGTH~%(wjQ`U*bud!6lVs)l!(Si$>u(N&hxn*^exA5k;6li{!mp{Lbh_gJ7d5h8 zj#BV~Z(DY{!3cw|5_I`YtbVo>COq@cD*QHb2ew1K&su{MsR{m%)m|iqQQNDD{qveI zhKlijB_sz8*mNGq5a9mnH-0@7CtzIKn)B*%*Q*1E;!YIs#F?vW<$H$_@6$L4m>>z6 zafY6NRl-5gzf$J-!T-MKQa54b83u{&Lcc8Izm6$E8O&w(>8ju0evItq{{C{zI|D}H z|JUbfDc|%tOZV48T+b9ji%@#-?f#Xn+Bkt69*cv0lz0QXlkKQ)%U%!Cw{k3fwEw`` zet+$zA1ozA&b!RX*jeQNm~b==WaRa}>x@SK$B(cl{1e`1rvcK>Gn=kx!5R{tK1qsuv1WSXP^Cv2L+-#`E7(CE5B9NCXrGz5H-?D{pq{lCedd;uAOyH)uA3>53T{+R}Xi(Jn!#y$PNf6p-) z!A}(YxBvOzzn?-@IR{MwQYCKZU&t569ueZeMb6R4(>VbHmA|nvK(+V)vU@vz=i0wN z^PfXYdJE2nOTs<8L;uHMEnvkeUtT2oKX$@t8psfneIVt={V!h}&34p^e^GA4QG6e8 z6eZlhMVOI;P%jIgDR}}m>~t#mEsXp}bk~vfvvFNI;lsZj0J_@%B>o4@@HZ<5|MaH? z(<1uwoX3Cu2y;{IXOREj9>;-u|5d!)f0^T-+rqKo$OGFeg`bSt{y*y8IxecU?H?5t z!2%0W6v0A5KuKv(5$R^6K^%q}5Rp+@#8yD*?(Ui)M+`!`V;I6s*ML$ZAabt7exLog z_w%0LbI$qi{IfqB8P=?IuRE^zMxXsL_AK4E8&1rCNRXdH?_|=jB*|T_Hg>R?t-`18 zYAE6?oK@Z4<&;vR%WA#MqHV!{Hm3+}`Q4lcOX?Dips;9A%SR`G-R* z-??Rz8;H`mtDw-Q0ztKDut!u`{h970m#UYU(`H&(>^VoQ4wj!2_Wi6TXJS7)#^2c7v z&?_Cu=nMP&3gOcs9oS%}AVob#jwYyrWb9BZeOwao@%*wHDA1iQ_JI~!k)AYP9+l_EEN+HnBH$A^c z+vtR-y~?u~cD%`HtrYoi^aZm8RU4bxTV^tAOw_t*(SljC7_5hVUtOHm~vZE1rwH+#*GB z+P5=9OFHwRub}Idg&i_5h01Nu)y0b$F+b}WBvLH>c^Yd5$3=MS8~7wo1HlZTS6(bvlf%<- z8c0K>LtO;5nwao7cgeb_>a>!mC&JAKPy!#4OmK5>!{z%-4qnogZK)hgFMJ@c)_^Pn z-G97lFc8V3j8sfBe*mUZnv#Kzl*>#!_kosI3BwCVX38hwjk~|()+-~Z!CO!U2DR8flmUQlAHdM#Oj0ZwyzUe9QwaJx5d}S&R zmP7Rk5)AVd>5eWVONJuCD+wd*{0r?t$BX=N6#*)8tLN&@`WICNt90q)-cgXV`D?fH zzH#8iqKd0_rH}Q_%>w_^uQBbR9{Yk!%Vi53IBfX+PyUw^O*Za2Z1T!gsaAho@_#>l zULA#i!OF4zx3l1XJ96Q2puc@aTK@OS#Xq)sS*JZn!|=E7_mP1S_P)52FSb)gGSZ&$xdVm=`C8fA$TO+bF#Pi&{(cMeow@K#%Z3lG`~Bk~ z{_!JRZx{XH!2BKm<(ZZdY|chE>wkeCvA?|)=R7Rc`?p~H_HHBsxL;<^sE~SE{@PYF zGwC=B(aa=Ht0XdkPeLDp?{s`QvX+^^}nx)4+oHN=RZJY|MB5CdidOHjg)== zhwn$eY9Hh=t#4nk|F_S*LW&^t=>Ol}o_F`ND!F5Sd&ROG+jISLR{&Nog7JMUqe5cLj(DnLp#(g%pj(q!AU zUHgu)16{L8sy?fsS-i5JhV$?D%&8gID6P|t#zdRG?7G_a`^!JT4v(`7^|RN|#<=d)a2@q3sFwWu z^1(3O^jy!G7(iiH_=hN_`Q(rX2vTt|N-ezw^NEz6(qXWp!c?7w=4+sMW1UoK% z;!*&(|L#qw{1gTFqA16j;{u*PA5H;`d4IAe!FFpzn&@us`u8ov|3M!Cy%Jx*Co%JL zUyjJ{$=x<@FJ#tT(?%>C5kia}1K8}n1H_sEz;inLY}@|FcHYmTg~B(@NCjww`y(C+q9i|GeUx+i3{8|#XiMOk$Dptu05~V8-WciGSB^x(#Ke;B;Z?F6|^{jBPk!TaPdE~^IFr{f%dTt=SA8)b! zEJ8P>f$m{Q2GN@fh~JD^-<1yzaE1l`>lP;fa<5hUEB+*v_`Eqs~5(>i%g} zw7+{MIem)JUO+H;!|M86*_j+w=OaQBD|?gz$6VKZri6&g*U5gkr3m?XO~XC#4?ioG z??R{6C$Jf5Uhpy=O z2!@Zz=!ONp`@Ds-S3=CKReXst!|gmz7NhEs`iOz5s&90ONS9ssQFI7Vk$p9)&M}h3 z@VH~JX39WB{YA3h>88wd$HSa6KHg15xQ@TR-+EwCk#p;g0#5F={%u!+1j6<3Uwev!vtq?>t5>LSTk$bf z&2?89tXsP&V^uWl%OmF~z4?iPv3EGOHr?iYL~py`?jN77D53#ATVO{jxMe-UVFQh; zYNxYMcjB>jSY;`0yfRh9*WV&y0CLW=hWRyhGFTR(!6y&5et^TjSl7F5y_oGR<6Gx( z{<&xAyA@K5Tz*OArQJ$_IHI`a0Aaae`2BU07WKJBwZ2=n1M0b-?7A|71AV#X#pX-R z2FjdEr7=}BFT%KnjpABbnryXdv&aNd6OU7GLbO)^3wObB^J{GoFnEpPCcMwZq89Eg zzn@sR!u*h|6jGZI%TyqlI=$Mr?xNx4nC-RM5LKjVOU9|E0A+VM(>Z~XHe0tI(=cN6 zRcfWczm(L#pU8-g{B5Ny^>7Uf#(CBKVLQe6Y&~f}$?LAJL0RL+@0-1_z4(xCLg4Y|sY2zS;UPwJYu?Zv`IU!QqkFwcC|@$=oG zxz=dY&R=sybI9?=%`o5z=W(s#cv85iLyTZ-^&2-0#l;RretpJ^$uA2*@j`dU6OO86 zQ!`gOdes-o#Ejt?~)Q7PsMkeU*cw(E2FH}+bZ$;J-QJVolc?awcAso z_Et>HN)9>=5&~-Yt=O;+^ce=H*84ZYRT{czJ{8ba6j2_M3AlJr*NWy zzj7A992FqK)0_guJw+f%MU9;k+zRv*{ht1f1P%?{-9e=1^~m9xSzLC`DIL2ocYo zz47Mm%KOQL*Q0(43o)`5s~fb*dF8zUnT30J_>SS+jKpe%ZlJ^V=6dU{<@`Whox$ z>yAF`zZ1)+Rp7<2aD&u?{XJ0QYk2)6G_iQ~u}AnSd% zSHeeag=f=oy?-a8rXBuk{yS?uee!z>ppCS-STZXC2qs|uY3C|nmoBo8`pjD$Gg!w9Ah4i%KhMNgM zi?M4yc((u_vF$}zr|HKx3z#@Fu!6E-SmL`AFoV+(qq8hSn$0P7uK?c@qT&kQM+4Oj z7PAfT0p2_4>Opey0qLqZ~ z5CwWE0{1jQAmo_RtZ)d{42om$4MTb6KF)iM z-Ac1i#Nfc1@tAf3lhk)aC13&c-OCFz!+PXCgG^XGxX_#h?cOKOGiJo?Jd`5WWt*8j z)kW*;l%9MG1#8m1jzsiw334D%rBW-ax<>fjwgLs&+^vH=E`(}y9BbHOXcOL*RB2Cv zgIgZw+T88*fD~Ah{GAlI^{EeA=eS10(2zji3fM<+d&=JKaqB~ETuk7YQ*_YGonIBW z5IE#CIN>qzy;#VXNR>i0l*YXwM30A&=)BL+wtLnvzPj8{sUU|=(x2bhXH}0J%CTJ> z8y|(T*9tu<=Ebz7BVkliu^ns|Hzkh2p{)()oD&Ul*eGrmw6Zl$R5WcfZx6Y-_K9}# zz)>|5O*6s!^tt78;s|p)YowcJ2er?ZUkqe2$G$-MJck8AdAfrXyx(g=9f&y^fLlA4 z4;^C;OU2zo&l*R+C#O)anem!xJbM!JFpzpJj*Cq#GXC1JPJ%xWXh|SDaNeJw`ur_} zd8^_lH@>vwYqxGd-9PWA+^Xf|fsi(W&tPGe!iOUWx4e7j#z*f`cgqx+FN`;Q21$c# zdpj3=+61Igt!zm$a7j2z>%aN5DfwSfUZPuEJ>~BjwH$gm-7wCBLPk+X4uEru_#83Mm&<6@Ss{>E*g zENr=#bFedcoH_C5ZJ{(QX8CnnL7xcfz&%=X4RZ7Jo?iuhxK_vfQ#9H;XIlpJs{^}+ z60?T$7r%S%8aBMNqT(*TqTtDh~du9#n{avzZ_sv7XUu> z#;GYp$)yrhEyfU2znklzA^Alg6Mde|V@b2x^(ZW5SmDpa(MM0qlKHNN3)CNo!-j4t z?Z6=$K zSE0N))T6PIV}NmE9d=FF+{kCazQGQ-2`&B*NfB{uPYr+sf{> z@R`mJYy`&stTK7CEDrJot2LtU&6A`KCtV<%z45PbcAuWWR0XtuOJaT!TG^Jg zNkus!geF0HQ859KMrD-#VOIU9=bgeS>#A*k99EY+4I4w4_FlKye1!xWpbazEgOfNH z2vX$ldI{73iJ84i(YU_4Qq`0|m&f72R&4;*>eOt!sSyV&d*fLGfIDA$p2nzy7>1gp z?BpqxNXROpb!U4($3y|VeQ>sBZJr|WYyK?4N;#FkT-(SOj)-l5Wmx*LtWKF2j(rEF z;~u$vTL!=zMX{S=Z6Og9uSlUOUtGeFD%w1qk1nKXKzg0KSjY;I8HHg2JAa9elS$TYGb|J zs_jfF);3FV6L}Fh_At2*8pw;_{{QeIw*A4OFn%CSnPwv|3FSBS=|b@}O+CkD^)X8$NkA+Q0}q~`#ZoNYc>k&gY+S<)|j^KTalArV}5#g}u0Da1AJ zT-ur1LIlwAhUw5pIjNH#B^wZlk1jOuhia>d$%7@S&KJ#ylac#d0S*CvOvYLAzCCWr z!V<=vnG6DmM+6fp7JTTO0O%c*W=uN8Zf3I%+I0M9v1Fdx%>`RGP$8^9UU?N(Xt(tw z4oz(Y;+czQAIYAi32brXsI?^Do5P=PbQ8vJgt3Gc?*h8aL8lN^?6s7dv23wE0;(zs ztxbLlEos}FMuKsF^7X+)OQ`4B94!HN(@`KC7cP+O3Y)SF$rOm;+6yu2GkS?goIeKj zLR@_t*$RnH5{d;`#qK2qHzO-jSK7z#_`uwa;H{{Mdtl-bL|SnZ@*Z z4u-3s$)+VuEp2&eQe6k)$(<{}Ci5&S!pa0M^n`D{gxne{vM2Xgt{{Ft6xU3B+Xx#v zx1Mj?ZoZu(c0|Rm30q&;7oFj$kEjrc^9%-QS)Ju0Gt`eKQ9^ z!|KoJ=E5sRb(OC-6+vDZN&_C<=T5!h)=bTbi%7uI)ddv~c8c7wF_IJ3)gzA|O_US< z5fmkSpMVVYTwB! z$TVcqyM`_T0Ly2aCs_Jp+Qp15T8$eGqiCynmp-A6xHiYv1ps>RGL!r^?Y zHBp%MyS;0H!~A2Y-OX!{=cmES@!^jR;h#EEO9)dt>g|2eDZFjIfT^v}tqSx`jb zj2|X!t#F`=l=8N9~&@E46=t0_e3IF1y9Da|NQhT zvOTiia?&EW5+Ua}rpsfe@IlraA>e3Yf$i7q-uY%wd=VrIjuLJ1AbnK3=dlY|CNW&# z;Ed}|j=n5L$g}8!H9ra-;s-o9v!qm`u4pcaWV=STo(m)s6#P#q;;?IfZaJ?y%&f?c zK?~{@TVHxb_$t{iG02N$>s3^zAMC@OJm1dV+W+U;;LYl~JGZ}s%RX{zaSV6v!%FyR z{j&aZv{P^V{Zd-@A-KJymi=}Y&F7sWRcFI2f&q=~{zHTAi%p2M1jeJc5v-S^n>^N6KxgRX(Mwws zxo8r@1z(-Kpp4miiV|TtvL8>d>7R?XI(v5?&WNl1bZgZAJVgfn?ws$Tdav?7pQ4){ zE0Lq)IrZmL6m$IjQkr*=r?Ag{n=`fZD4!80*bvN*ZLQFnA&4q?5vpaD0Y2mYYmfnu zGbpylR)2@uP+fxj>qE6gpqFHTI&=zh?dJD|mQ4ZRC(x^}CTMZnPH|dmq!NC8XLE!4 zfWb6YIjtCjoXlKvA7w6h+isOpfQ4hL+7cr*hD1|XVGEI$3T+1?dp$cpbe05kp2wC? zb{px(z-C=l5>RBjzES5=UO;3jy>t6S0r{zQY_Jtso}f~HH4f*UG*9YNeiQ4HK4BuY z{ji0yRw#>1EYEOpb(VHSucr#OhlLqiUO>z7J*{7G^L!u9eI#l5i;Kj2>?tm5@^@WT zEIHQqQk4vY76Q0Mq}lB7U3$%q_bGi{;XUDqIt1$70EjIW015ULwyYIoNRD5*8;9tI z3xJ#hCN78D{1cOL+5Pkv%5>iza}f8ZnAm3(@9KKEJWT-Vk_@NISJ#c_{75Ex2Y!Ne+JzQ90PzTdTI61Z&w{nY& z3N3wui%nD?g0jY!x$=2Fu$z4>{G$ij6}FKKXTXf6u-mL4`WFb$->{@4PJeaRvnt0) zSP{!oi%!i+wl~^FIu5;uWWZ@cUuV5dU|BD3&dGbdJ8v%R{`)T_!xaZr`4Gx1=jG@o>Zjs_bSW^7wdg%FwCq0uEC9Nc*-WDGcL{=>kZ8 zm8H5Z$a*_CcB&kWlPO8ZO){=gDKpFc%3hcB$$o2gWn9I#Wg0rz?l-&!rN*TfPJ<~j zx7db8+SpXOAy*v44(xCJm2;tCJ`GZ-ZCX;>we)2!o^BP|zDC=O}1roNUh+VJQ{v*l3 z&8!04XNx$hLUfG*CyL4`9cMwPNgfZIGa0n(z+61RD``pW>58JkVRsOf4+1i?A)941 zt5Q^5ed3F2m*O{mu%>c3qIE-yDCVABQ8VJ&eQ&AksxNplaoM#u$SEL|7Dd5-P$i433%)d#sW@YnARFT4zaTAr_?IUgYvS&F7+v?AuTD<~npLfOSoUJc zIqzB^2uo`ejy;bI_oT`To(9*^3gnU_Mc8*&hBO6bt%{GCM4HIbkrC%JeTKE#>$xlv zpiPhd^7eH1*S8FDQ&{=s)A93_o9_iLrAkcZYJ-QF`OHym*ZHx8lmQ%B6{68Q8;@1^ zcXfYMA})_Z;r7t;xMD^mRhe|6cb*=q^vZCbecbSd*T1Y&hTHXN3O1AK+iiM<6gW6; z4ihr~sZT6*Cx}nl)CWCR7_8N^T;DB0C>W_vE6_puyXy4H$O^Mz)i z%dR*R`LsY2)s*7N&dhyKRvo&UbE;$F=yY5V!y%hhaU#Ghx*sLieDypPjlVoB!#dfy z;XDm}iIaCf&>VEz>A)vQket!VZI^^JYZR)9Aqex40e}QEM+?Dx%g=pE*|Z=={dksE zbBLtWf_Q=eS-tmiFe@s?S&?i%w}=bJO0?jz=P`XE*z&9vr6NjRWt!c!50c&$LxnCU z9mBmU6a7*fdl#~lrBUBX6S7*E)?yN|s2G=prL>D&<;emqzUB&=P;c!yJArK`qoa#w zlCj16B*gOeds`j^d!J;LNRcM-ewrP-z5pBXxXYyY!xgX)>n_vjiT(jzZ+S5mlkb_5 z-Q2nt%V!H-FQ3i_%#B(%C`tx_YVv?9UreDu%^T??a?DbE4PFghrKe*&?NhM4>eHu( zh^0@p#$U@eDxEbAQaJT7w9Rw)q=LR96S5&($&Mokq4Du)X$>zj(_lYPBm3FV;2roA z_gB9xds6}jw#_pk`mnPaqi!NIiF_j`nW@L>Uu371jXKHq>%EmWK2EuyR)nsWC+B2E zCrENDH(91+_+Mu*Sq*J5n8 z;d2l@k}JbexYrsbs6_zL|MKmR&trhZ4}yrlr7x-Fy!+}{=omPF9w7>6NTV)UMM$|3 zRKhOFf$5J!GLnPta0rYz$H$xdrB@}pft^~>6FL1ZX+IMQB4lOq%XH`P2PYWnhpzjd zqbT^lCa9LL*bc$wR1&MG;@J{@%iojY>rBu7E&NgXJn7ton6?Zm?e4q$aDz}Zu}5Xu z>IuR4PI)(^fyV6wfCpIjl%d{XITh{XYvjuZJ3VK`4yy(f#hxJ((jC*iUoKk}U!J#p ztxg9xKvcmS*}~mfCd57#qmGFmQ`zG4<@3@rjLuqg177_lj@^%9h`EEWmNGJP3Yaa3 zHj=LLUqQx)-_xNDglY9#%0RbeB#Y)I)hwQY9R!pH?tvXs1GEmf>&fub7e%9&rX2l_>2|-&EL4XiOFovlEeC>Wy-+mXy4)yG(#E<6L|6#%2Dcjo z`3}#t`K8aI`fy7RI`Kue*`|FsG!N!cUb{~+$I%~c{+{PtZ8f5QjmZ4E)(n8FP8LLx zAnT))#12*=gxft^-HMW`i+1kTUx3K@X-c8!%G`h<*w@eN?|8Z*?hy?-Vu<&ofb+Bt z)yCE&H=uK30&ms!$yF`hjUD2Jp9ybHNtI1cf6N-LKPxg%6QLD4SW<5wQhhcPvQ=`k zIA7(;Z6)KiYP}lq!;%FyJ=3AiC+fKgStAPsro+>1C$vco9AS65JUay%ko49QTl2(q z>Gf-vIA8hA>fJ;#7mY$DOqd#g*upc@E2K`nqhwrW!R<77#6PP~qkF3q(D#PRd5YQa z_>9W8FBuzYriBFT;pzN0D<||)c5|cyt%>+?{4JzCa4{v21J-INhVOi70W< zy?fp*LwwvC;|JbS$Dxek5T#$8j7GCYvQ}=`C>i&C58AMKrJ#r9oY^XrP-=q8mR@JS zapri43|6i_nXr5L){XW3JRLg^Ya?r9wJUY^@+33!3}ob{(8aOS`*X>8cIUg;cEVrR z=yn%yo$?(dEZX-#lAGR8&{t4wwDnS4?evS|vu-ztBNGaFC9sU+=FJD2K-P}O+3O^&CvFmz%Lx~76W;K#D%DM&W>#lKjoySlX_ zx_8K-!*hYMJl7*R(tgk8B_yD3?`L6A-TvfGI)yBNKBUTk4==|WV+8U7{D}Zv;v-6?wU$q=a1Xdy6 z?NOYHBj9>KvZ|^Omgvr zDD2Px;-RZ{FWL(vBu1TL*NwWq#!5dxN-^E}P%rL&SF59A#NyuG8?|F4oU4$};}h2% zCM>y;5RESHe%5J+mB=yNX^3}f4YR)VhgZtofUpJYyV5 zKBr`O4+3;3RHaJ5&N2qgoV(rC;cebm+@?X>RBC2j90VCKi2dn&qe9apR=!1g-45C& z6~f;zsa^n7&d#J~<~Om+RaypWt|LQAR@s}whTYayyXVEwO943s%X zi1zo^kvi2;%^OnBsskrP`f&FKT(Lc_Nll%Ez@Ce4>>63JQHu`x^ZME?z@=nL9ShP8 zb%d>BKUSiY6T2=b2wfNKg`DSgl-ki=Zah!u6%5LCQtLQu#864k$iYtwqdP5}k9@Q} z#=ehWuI#gW^5u1hT5EMz=jcI`4u?KCZAZZwIY`=L?MmcwfEnw#PR!<1w%CXYBEAx^ zOdeBX7>aBy;pzexbs%Q3Gb2Dy79Ud_#xf}lzbTW&l z7on#a2vsXX6VFvN^yPKC{s`6#)s-8qcua_92!j;XFkn$feCod2dFvj7t8MenhsplD z*xPoFEoAwgM6BK@4^|?Y@RDNS|AY{oBTd@tEwD2n%B$gr+ns5b=Bkq67&m-0TvEQ+ zp${kS*tdeQhvpMm-G~t`6H7ok4!TIdkZlw zA@ktCTVUD5GDRv(1?_*S_boe%sEGCqQpPUBr<)KT!a9<#!OYKib{Qu6fo94nub++> z{9qpvBHarKYz#XRT9dG&80jZ1pH!T8EVAiR+Qo2^b8TM@AnA1A&4j1^bCOdc^`wQCoi&V5S7Hy}Jh~5O5mktfZY3;w7QdC*PTG?swRv=v`X#Ay z$lfDxSjla!YlN$SZ@|-~1+FwwNQ*6Bhz=ka+w#d1dsM|m^`<>m#JYm!nL7xSgy}Zh zP%5;oFE^9=)L7Dyk*XM49d&r}0WxwPByT_5;I+}?g{X4OUIg_`*=Po#sm#FwCvYy% zYe#AWU>uEEg>DR=>uYt7kXQz_sU+(ZmGCprd&lKibxiD@9;-6f1~;qh38ra^x-g^1 z0jJ(=cQj0R4GBSrln#h$O-qJq#6B&7=-?%T9Y?gvOJ((nwM%^fGZ6oFV2LsN*S!%a z^1ize^YByI*fd}XFvhDn(u(De`AwW&RBBc)ldHspWAYBJ3r>c-HnS&W9Pm- za%A0{nl;Hrj=%lcFDix@v;VrfdP^Y>hWR2U_r>iUOndcYgFs1 zXE`EgF(&*s3!GPoh3m7Uq2bn51>k$reO`~(KdJu&(Vj=K&hR{yViT>vUwI`}lQ6Rx zlf58E@>}FKC(~D*)tK8Tj_~piSfEO5?mKthG`Qc*S*1%dboH5|XNq0VW+5%Q{M#O` zVk2ASuCngHdkz;n1y}sXkj}sM%sev>7r9H^-^9~VEfGE}WjL1DRxiR!4}?t;?#xbb zD6%NG)krmLMS7!%&&T-*RXGB8H711a z)quLN%NDa0laibo<=|*Y9^svKpS;qQowha>bJ^lXw>reQQKIR4yjCInhqE1{SddRp~{dkuBq& zR~(;a^2|UF4s((nV`{Gwtx`2$-o|8WwY@+`^4&-z4w4KW??kGB;3v>)=f@yE$?h~6 z|J+ihdv#eeC6 z*ryTMJSP$X#W@bv4Rv*aLv$oi4t5>~2{}~r8G!EOh(XD%5j@dC1&!H;uY}S{yfoX6 zF5msGVBi+I++fTg`NFg<@hJ5Mt3uyASu<84yyhJzSvA9ao@7vV3p4_RQQ4RPS1z)n z5x?DGZ%*0_=S|;{i0o>QoL(YoBIW36MmG^v%UoO9iAz)qqHwh3wHytitZ|aNxO=#z zG)-slC8E<;+D!3|h{0@sX?PORj6qlSOlDhAj?QzP-l*D`RwqtWd}b*h-kvQUw2oN4Mu0c z7NprSH7G|zm5RFn#$j0-kM>_W zBer)&#;~W_<5|-0lECWmH!udI~!CmJbZW1`4_ySLd=@T>_aoWf>C*d!#dfgOc7g23BcvF{$3s!QEic3niMKUZztU8PJ|$u!Ihv;B;Rh?DH#x@s?NzehH7Y z`x3p~05e>73fmOYGfyAzAvg>T+CkfTJkeiTpf5GxaX130L0m?BYx+C#*OEcgzY2;w zeQC>yAySC*hpAF&XiqMin%LNpL>i}H5z?K*P9JFKN|?DGn)$^%?f?emc_1;Hm)ew8$ zS-B?LiHd2k+1-niJ~s5=;UT`|_r|_%goSDk80Ygt>Y`f6r7j32-|*l#E!%tFbG4F& z)^%ypoNg4b<5q0ZWkK$M-k4?oG)H&OMJGMG`+&Y$6JPP9Pf_304PvoTka=XoZSNmM0|g()o5W&1!44E<%k} z2y)wq=y_c|{c5YI>*skFp^_8rRhSRU%&i3jid&%bfYHB6k6LYM!5LnRV3uJrzMN3hopb9iWlsOi;Y>CN&WNRitLZTMmtZcXGTXBWZ#n|gOt6gLcRAP*f&mZZl>jy{-n$}!GIlLUlQ+7vAyEGU!?Z~ z=cAO5=D|mdA|+i4KyHjV5PIB(lNNd%V_uu<_E_Ci6jJtU4kK#CC0#^XcKUv zmrs}(0VutRmf6Vc@j`rDVi{UjrpLfE`yig}L57g&9Coa79`bTZ&WO(E2`FuJ&lPlC z{$eUUS@`%<0V?j6;>eYt!ss{;9otjra(M<}bopgC6&vt-bc3iA&N*LrWL$Go^O{EU z;!T5k+>sum_r>diE$8g_51!Rv+m81nyjUo`IvhMW@i52g&BUHy+Io>?x!@fagzF!$ z;`w?O-YmQ~o{}F)CbaPD&!DfVEmUwPH2-MkeF9XZietP8EeXnw>~fv%ESi zVuXjwEN!$%sZi$04|N||2`(Agag`P?V=TUF)^R&CpHZ0L44|0thBfI8$`d_aVtbFQ z=C$28aePC&=P{@phr@9CdA!+!D_sn)Jnmd7j_nh2E75z{*hFrtt0lS8Ye9OH zpobusDfaqZW7B|%3M+hlZ!x&=T?ONw;dHky3xBEZD}G4W=;OWzw~N(bFlE-iFDCHF z#jFX4A*9`cC@GJM&uX=x%R|NtJRxA_DHYX%yrkKgQc<=!_tfK*q9G|~G{Py0XyU^0 zUCW$hdmVGySfTvM7N$e|ROwnL`4LG}+DQ#Ua%&JIY1#x^{T$th;Sz^Xw-!B5PI3@7 zc*lbT>E8a#n4t%q!A4H@Ge4=mdTfoXZ!d0It-g`<*?rQvQ_~UqiVB?O-s}U=k64NN8mHHt8`{Zz4~92?#{+w2%t-QRgZ_m{ zXCM@auw2m0=7>s?JOy?qDW^a z+oUyinyZ_OjZwRpH1-xjKrife-;IJtseRy*_&m`Bos*boB#FliF}o#x-xGcRkEhIi z+4E5?(*ldI1quUx{E1Xeyr9%{PpQ*H1h9(u%SrfdgN9QN#Uws1BhmCYs0r8kX--B2 zFX|clOMm;Y1IJTk>a`(^F*(U5(tr1w6O2=z#T9WfibsKVH#nWSmeVE+N=+^Uz3WS} ziF223;rz_%eq=XZAX}l!^~MZB`iqk_T!!CMus2EL;Z-;TD zZ9()gJU>~vAbr&pXQ7lP{Ns;Oq$h*k7z`C3_h}V7T#=#_2kvcKdvEXl3(@zrJ|6S% zJO-Xfd4>(?$}PYKia4xx<@DWtX(|q(0=UVVt9FDvM>_UX-Pw^Y(4}fpm)W?(pV9qh zx>?)e#L8sbXQJ!5c~duvuteB|oeJ-MB^ne_5%nU)Mt9SDm_5cDDvzovwAxpd|#vYbX@x-;nV{CXU3JznV$ z6+2&khKh9vy_cdzVEa9z;CR=G@tI}m~^MR(Ks{Z0Ry1VI|nqSg(e;z`KkSt zQ^rgPB3$Uo)*i!u(iUI%a#j_1nfJQ)uf@^52GNIBlRLGn4}^fcS;1PR6{kExC;m}{ z;s!Kx+}j+ejGU)ydAtxO9neKgC*&@H*mfA;2)Yn^FtKb-{?gF^JI{Yb*~d196^wPQ z;w+b|rSE=~?EqB;H^aq=mg3?IXYn;o4^nMfzO90qb&MeN`tIw~XgUjKd`&SKa+zRV zkFpjOPeDYKIgj-L4zIADJM-AY$%YkhxDtYYz9+(&xtM18hi?F~^Gwju`RWjCHFKQR zzrHtqh#7rvY^7Cqq+X=uobOK+tvdY2GWsfBjn~Lbe2NL4cy%>U3G(`MMlCkGvRB+2 z4C;n|z~3nhZ~a}6L4RSeX+7=_ePt(-y*a+D?nuBTTJNPjRz^esNVM6Nj)ma%%FqUL zsK?mFK;_QvfX!=O!X-Gda3bH1+)(CSxW7ZM{p+Vyx%Bn<%Aq$b!rU0i>$HoVpBxd* zxSrS3m7s9lVJ|mfr=HCO*voqo$I?R{!DlO_GC?Z^yv;7t^6raXURnb&=SWZ>=R2XH z^X(fX`n%Ci-#*e|40U14{4>_u)=u2GG|yxNB^PB%ci3tJ&&{;&$CnjQGzQDclq96O z$Z&L=&L?`+cSQ+;P*H>M?(bDlfy2&`wZ5qK7duG}|GZ8zssE;O2(#OQ49(;V2YNO_ zVUQeSc=o6cM_nbQNFT$jW^@roxO>D;&5>aU*KzTRM%qXQon-_6& z?UUmsLOZvMVUh@taZ3ohaLgf}+Dd#7w74~hnkec)P2_nvASj5<(7ALnn6*x**`dS! z4GMh1HaWRV5Mz>!Ej^(hb0d2FaI@&U%0+^T#9(Vy^{6oe^2B@I zr~OqP5gAix3_A8tcCW}2OkX@@H|7mPHmTAbv68y9@PJ^WE^wMY54*?U8LLN6`$ zAldB6v3iF{D9POki&64M04SEw(Tb_fc@$T+ixu)2eK_Z(LU%``*O^9fvHZJaTUlOQ6c_Hf`G1!%LT$oDr(q8)@vMDr?Ab?mU7TEzhJU z4O(v8OX2uzv~`zFotUTRugsI_ItG*`djyY*RI>$FhA>Y^DrKjqzPivI$ z-f|Yml+tiVbb`Y6%1gPK9JB7*93@)K+L^M4}!SdR$ij2V(A1?K%n(P0vLZF}kQ0x!Eqm!}}m( zL4gT|m51FDmKpl&d(%Cgc&Ja6{#_vL?0#9+~fJcfO|Ka(ew>L z(SQ(bSTF}U)!nX(6ZXA=M3e}+6S7?~VlA7L*?hNgt-y$M5$&=NOeesB*()t3 zd8v@Lmv=lE>mom!Jq+1Fq)k|b8v76!%P9C)km@fP{AgP?em#4TzynEU!^L)k+_K~D zmHm#6V_kC9zfTx8ZZ=d`E|3-E(dnK)F{3zfEw_=Vd8@AaR8RJWMTKq`mhu&@Ra)aT8t z?isnVWLdA=cyXGWXcvc@raeDYnHD~8{L*v#4}6y#q=bL}BYZlz^imIdIh$0jO?mb$ z^FaQKPq8EXn?I`C;?sh@3_E?`p}Eaw=<-GR3h9dfC#1~YTyU=!;}H4@b$=1=X42Tp zOH0qRnKc_4)p}Kq+25J!O0X@Dbty~L$DngF%xoX2n)$4!jx6c4uYwH24i2e>zL-$m zuXpQEOUzp#p|N_X8yKnF)p=DY43MzqBOei~!o!WJ;OQ#g{@bTRp7|%p%fBBSAB~%B ztChl~Br0f^Id`A1lKnS-G)1+qo~qpMeR-Gv8T#`BZh)r|f@jkgDSfnPy&2er5+DV$ zb#q42Fx4SnP|g<5X3<&<^npp{+&hjT?U8WA+JE)pldk==`?0x10MQdvYb2lTf(&Vd zTe)&v81AU~fXiRF4~7x3Qi@+al&KC-eTvNLvp?mbLH5NO34>!D%PAx zxj_Lam2 z`OoRT>n1@I;Jjd}q^F`SJAemcNkH_aQqXkvn)c3YN)C9W=DRU8)&VCsp*XKui4(YF z>p)5_?v>DgOC1e^ByYNL+~>IBhdg9(nDN6SNT9aJyc^7m{J}E(PAD~usTv<`uPv`r zv->rS6g%J4)iHvq$U_=DKag~*&21~np8Czw=T*sju`wqAwjt4 z7|O5ccW)Bqh)Gd3a z_;KI)^HLyo?Vivvc+VmG0On*_gNks?_}txhsN;N}rGRJQ6|7uu#b$KpU~jei{bHzj z@s`3e4Q(*#I|gJ{ad7aPasZxEX@AX3$FGQIt##A9kt>B6NkqirsD29yi^|mY~RiYi_Jh? z3}eo)fhUtol3O})2A1`!g{d3^eAN2fYnbwpVL-J|OZJ@l>@EV|Byw^Jm%YoX+O(T< z{lYn|ZmT#Ex}XG;DbPp0qeYdXtzMc8)M31;kM#jzIvSW}XJoqXF!~F_lM1T|=)Odr z_>%1p>EK;fvcZSi5d*p}^bbfO{cm#5UiB+Vh<8@H@s0&{&TMOc*lDeNq=WWG_sQpd z)O331f5K^w13Tv!a0t<>IIDk^8+oC35}2G0C&15>Q7;P@fM+b~+FJ>J04{V7NY`6D zZcJ$Fl=VLB?{(}5pLdBTh@Y^Mi-0qHPv9-5*gtue{KI_lPg^`iG%f7j()7gL|1>oC zZ#FakWpH;bWfzzoC%T6IZ`ZbeHd_2IZ%gh{Y8pCSFQW8=|MnC9Zhq-6PS4D(F=0fA z{+s*G-@oBcn@SyiMZf<%+}{`GKP&f7hKtBP`OlvFZ)fd4r}e-2-2Nw&{A;}aPbm3M zDEZID|F=^C2ckq{Ldm(~PbW037{zmMM7X?v`XdcyBQVpQ0b1?M*VLeUc+tA6LEym? z1ATzOY1f6}N^9_yk_54fB;u+wXKr}xpCb@=$u4q3kDdVHb$kZJU3Y)+5N6;GBYYE` zkT6uP2>*C0rw3*vIs?ue4dc(JG?*v_V4@TaYKcjKBCutMMTRWfpkfs?U{vJ(qoVKq z#-TV|i#ILcK75<)7bK3I@X!6IA%F@_+4#~k@?9IK^>PPlAO&PnZZN?EA|f z4!SxSO!}n#+FUt_u9aTz&&^_D%XE@1jOeIg&uttn%({}nK6GA%!3&dEYkgsJY zWpgLfzr{&(RAx}iSO1wt`5V$?Ff}(4E47J%i2~1Ku3>~l(oYp0eJdY5pnIj6`6r9{ z{>x?@)<}ZfKn*6-HOQ#LK(^Z#5HntdA6zuOMT-a=DNl()97O z$*ebkkG&e(Bu>MjrkJ}Mi?xaFt9B;|2YFmbF-vs-Po&j>Cy5M?;xqE@BMydn-LFgq z{`bf!tt$A4ubqY|^6-xO2_C0$@YWPXsHh(`J&H!mtZ3*mX4`c&pxIk0}l}uKl$`;B)>ERKy6QwacRPsEC28a$-LiV5?_n_=(W*FI(C}!t!DG z!N&trJKLn4IdfW0I`OOzK;R&F+y(DSk&jQAy1Q=K=9U(b)G^Bd#~!7ntNn^pt3dI! z@FWu>#BMdzgM#Wq*GB+PoTg?z0{!Lo=);Kvx~kdD0U@G)n_c0*1FQZ1{Cg!oiaAG@ zXbYUcdqHWd4h zT64e(bxO#0JxK0)!|zVgFl;evn5*q3oDIWIt$~=ydYl$LC!kL#7zXO z$&51NN_N|{6{BLW$BMVszzJ7r*nND~b2iro>C+X%7vgfu2D7HifEA5?*&0g0DoH^gPw zzyPo0*7sb1Os$_DcN2#Ausrg(YC*64(%Jk4S&1#M1%2uP$8V+o#xeVn*V3RAkAHc# zmO^`s2k2!$tN8hD=}6cwHU^^g>M5Bh8K04AEb6A^U473aCsN$npU3?b zBOLK&EiUoZheVDPIR$O54mRFR4UF(8=~f2x5(R3A(E)yE%`r#+_&rgOj@i)SF^g!G z$&>YRFsom8Xyu5@H9vOCp)!@Qq%WLiZZtne-{x_Fq)`%ZD{&SvS?W54$MNS?yfeqc z;PHWFFxmSO%u>M@O_D4Kcz%>$IDBN(6=xDv7$D+53!`$SmjUjx!L|BY(r#bE)q~Zn zsJe&BoIco_CumED5AC@sA|- z96#GBpkgnMbc2$Htzx7=tmP$F5_12OeBv#?%pOt~cwIRjz#!V6Zy+b7;Pm6O){x_U zXHd$JhxMbM>pyOC_La%!+pTX~CmhFnF9u{)0+zH9a%;2l7uLM^Uxj-BLz;T+&8OK} z;6yK8>Oy4I7j^?bXf>Y1xp68;AWRxqM56k$YGanTOEw;B*(`=+la`o+FpGCxa>N*UR%y z6Cc8r@LWOp4l|f`369@9S%Qjs=(8_R=o5?avKsjicMZ_I#9(|w25GUfe&s$mn5a;( z&f<#RM&haFq)1Ck$eWP$#TwHitbN>q)qLGi#8^CvH5@EI}<>0W8lYLmGU# zWKk;VeE%Gwc1&a#BI;4vs^N8)`f^n3q+NO+6aAy}%$y}mYum#>$MijFyICJ#qA#nM zv7d%E%>Z>TwF9V+@r5YQJ$o|g89&)H!rd=czcE7c?tVUWey29?V7;wL^>Q|I{}N@1 zfjR5aEkVL%+5Masg)K{+R`mp>6xmx!GxqcKMENc>`jl1WguIXUxGZw;&+Lq-0s(q~ zZEL}X7ouBJG{theA4f7gw^tE-IVU;&Z-L->J6R8v|?l1_?*A`M=DS4d34kZ6Ln;>Taelm9%g@oIFZ=*XO=r z5vtw-L<+9SxoTFbM&$PHbId5Z<4TSJ|1cM&I%mdHkQ2LdZu!Y*%Cc-KZUZC z&5Ro90&hPcXn39Ql%{H|$ZG;VPo%f;I)MUya%-1vocq(1SJ4xaqCLKuH!#9$sAPFV zBfnR$E@ak8vNA>(Ct1HhAjiNLwn8*RcnhB0{H6N)?4PAK%q^K)Y!gp2_Mt#38iKXA z-2PGZYwpCO!7RFCAxAS7m&6mFV86C4v*+j=;%7L@)hFEV4PQR`E2QNv#_|5kjVP1C zM^gIZ-NwM5S(Qhm%wBWC`PfpXwSkB0?VRAAnCQ_H?alFY5lFHk`sI< zDu(-Rz6GT` zR(#*AEx2dnFWJ^;g{(bMp)B|2C$|4!*6aeeb{Tm9DF?^UcqFr+1*CL`x=yxK^* z#D(;{c7!*=>C&S_+l~&v%4HT-39QDq{58<(T0Y#(Q_h;00{p4zWso zc^o)4GThmfsiB&ghwpY&@LYY2q+vYcZbPv`Zv=L!1Bek9*=COF!bR$PFZ1WLwm#J*^#m|Cb8a zIJ=_f1bOihej_T4?n!LtcMwrJ>3^wkhpR1`u*5+UQlLE^7pg|so#ZCS_@;`ci=&V8$r8>erXFfu2-Va^~GZo_)ig*MIh*SYHEXnc%E(;I@%H-e4-xWn-YSoU67MF|d&l5m;P7eA) zxv2RA#z3LZGwYq)gd$8#KPWC(Rrq z`E9TD^$e00tP<9`LFVpO-4&NS9*YG+Le4lDxJDfUb-%tRZg{{IA@$Cl0~|kMuC~+<%$|J8slz<&7TS*9it+$=B+-5$J$Qbl4Vf}j zr*tucDa&2*U=r4;*xcy)PX;8=($h0Df974L#5JXV&EbT-OcaF7fLgrF3vuk znRpc={N}CvfOkH@q>5(xc3%}k7+^L2PP946;YY=+g9${$#kvxBd~$@d9`CS4Z8?xy zB^s^FTDu^eBWU*35@dXabk=+<-e50xA%^I6LD~Ge^$s$*k@3>A&}1Dkq-u)4M@hbL z1#6OKpkq)(bQ4j?wAJMQ{8|COR?Oo4Gr?dX7_o#)%+9i9t)KWpPgKz*2rA6f7%C-g zw%**aqYav%mHNvI;7$n32Qg8^&Mu@%O;Dm$#UvZ`(v3FT4d~B?RM(tAtk2GGh|Y-& zw1&PQZM*d0oIZ&BNn!dVue(T$`CJ(_Z ze(jN@zr~39Tt3O$@ zAqI|KFx3T#T=pjnMw`p7C{2FAc zF-ozrSjFUy-5vhpcuIgO&e%Bw57~GKRt`OF2c1idTMy3){mv~drKU{X^jN?J@PH@C z*Aeod_aN)YIuE;SC#7WUbRW5>7KW%^$4LAl!~L5z_?3A(AAYO zAS_Rl_R(fre*et^a)g0tVfhA}Lyl~9Z5TojpWHbJKi~Alg$dJS(|n(%EVqR2 z$|Ls%6TK%Wyv@m*Q2j%pGb2%H z9!s4sqp&`C?m5+E_bF_cD}ZGsJNK%pf@^`&Ip=V?mbw!1?}T-*E}q06$PLg#WU)uV zQc!!muul)Y&RC_7cEvp2_kq74Gtb5cD6yRH)Tkdhng#WmLn@aM-2Cg^;KmXqDQJq38&TtXX>Ep@1AT+U@r@51;%e= zHNzNr>1C%;Pd>k)P2F;qUmuhu-@H5Oy5gjSHtJaK>vg#%B2h_eM4rg7yR;7jI;CJU z2D#35O|(f_>$$jrhNk54@4=2*S3FP`6>xBz^YpZAk=9!Yk@xH z+WJuE*c4!c%RCXA`24VgC2yVj_YInE*9iO5)GvNqy44F6I(j{>T)}-|7%yfxRaszr zd!S$0kw$w9bsZVTlgCM^kH|Lga|W#y*^D<$dZIa`IMAE8q`mGGFhY5!Jn`|dDslA= zP=3S^cVY%s19ee%Prw>FOugo<+y#k=d296F?+v%ZC$+7R#>VWRR#su5$-ls(F1V3; zA%8QxIJBQ3Zppr;e*-X~VBD6nWoCF>maAYQRAg?m4yC7Rp_G~z5k%@tEj$=W?AY&R z*92mIt!UKMb&Ji_s; zYd5nI{@hKxkL|21~r| z-?BNYI>MEiJr0I-jX%n-k%?7$$AaIrzqe~fuQZbe9c^r&-dlKyUyGoj%k~gN+cCOI zXZg~v0=4_iDtjamWoT(ALp3w!UpYDqTky%Qw+xTU|BSig{EC>KsI+%S`}WqZXE3o= z!A241m3&O$CO6!+dbA!QsK}NQg7J}-0pQU816+$%n|mHG#wDDM0^1br((n7!d@Px1 za&?)OSF#1&{aX0D!H;ew)^2GxyN}XyUfr~Zd0f~}7pYZYhvwKs#e()p0{lNN#JZMd zEUA^!F(dT%hg;OEaF>X{1ygPyDVM%p+V7eK`h|y$8L78@WWXK%|bT0ffv6NMTh*M1(d`L8h~46erbXdjk{n6i>*vbniW9BT}_fR9FPw<-LXp zFSmqiISvE2Zo2YV>GTHJ!XbAN+W0x(ZWTOMV<2Uc+c2f#%71@Bc`K}|+<+eKF;(h) zC_S_KdTIQMdesH-&?E!Igar3PtM_{iD^^s?q&Lg!3v!#JftyYmyo^LaT5Qz=m`OH; zB>SAUI)sV=rX!b+3p4x`Ncf;ARq>6@WTL<_*_A;?Xs6vKOAPGWtIjJVF!T^9$4T){ ze}L)wE-DN@hm~(K?QEoBtCF#5T}c390-unGbHl6fZH| zPh3U;A;A&W4H31{;+_PU97~JIhlQcN!!w`OGGn zvhFWvQwuVN;RUBfNO8(}?tO5(8M&hT@H9`zvGfm#sOHR|qqO$m0<&mm;BVUE1Bx5Z zvSD3=FjJ*>AR&$g7+7!!b&csM;s~QXt`-rxDGr7j#eF*JlbU%%0#NwJ98OM_>V`bV zg95@CqGKFT;ky=8v|C1j8rQwJ-Pe?ErY@2{e^t&NW-0tUkdv*hReDD61oo?@e@7sr z%x9naL3DPE!q$wY3NFAv25S9aFK@;ekJS3jNukw;E(;#?j3lTi>xNcmJ^N}yJRjyO zribbZT1m){fv0{4$iuA5waCYON#HgnMiIGkmN(B<8wb^Zv^K-|W@M7gHe%|W;gzsi z0_nw+=J$V)skHPUVr#z(V@;Ny?o`G+;JthAPq}QC z`|ZdF`oo_Fp{||(kXU?RZB}MB#}dHt@__zmVyv!`vTJ$8RIKe_?jb^V63J9z!>5VG zKpZ&F?LK*valYUIg`g$EusuDLB>P0a-sgO>`4}Pq3c5W*P{C~Fl)SIty@rQWt&ThER9 zG=o-37bQ44SjERN0Xo-hw9uBlWC}8E_IUMYWNafi17AJt69durmz9Ewj7l{<;!cEbF;C<-H&x5HJd_&AmymH(Zxi7Au%jO->dY5&E2C4yJ1IclDAhSI4gw7`7oi1GvsZ0A+5S9{VLL!akItg^anZPVYX&0ECz02v?$*8s>d;K z1V<*uXfsIUyYy*a^$1m-DYXMjwzAbD?rAw1PryxKYj0idrakoDB7j5Db zlgK@YNop*>s2r}US$VdbVO5+rvw2GeRv2W~b8qF&prtc`iy!OubG$*t-?IMw1#ztF zcW6=`I!g1poI2`$&Ek`hA`y)ThEyj*QqmnyOUPTTEsSh2jwSj)3LN9LP}y>#xY1UL zmH>v)cMP?%d%l4Zd2++|Pz1?h6*@brj#wW+dTt^g zJvcxunB!1LtTxMOmRI0B4jJkzmS~v$_T?c8UHE=M8M~E%Lgf~<@!_q$E~!{P$;9@9 z#LL=!BcopfG5h@W6Gqb6?>$t4@yJ$=D9iRmE3+O^%y~!n$N z&V)IQ!eGhbu-_}#{S7Q|1f-3cbK@b+=k;bU(=O^A)Yme!WQ%kT?F-4Eu1B=%<+--% zCc1lE7mtx%Hy69o?yBvoZdP@5uguyALZxKUrsYwYn9&dDi#53lLIKoW_mt?_Qx8nz z0jk>s86a0rwxbtKt{+=Pz|r5>-Vwm|yhi~UxkXc(BG3N5_tHxU;gE@S;&zk1@&Nx7 zLx?}E^5^Oup?`FMIqlVxD}R3B&o%-F3T}fdNv4d9{zbIYw@d6~^#3;e@NX28KffOe z!EG8k=KeA1(=C5N5Pv?qAasrYKmGH1PFbcF;jESaI-a}ytC$VJG|yu;x14^d z3NR5wS5a#&bNH`K_}8jkfmO4NzY3Cs3|cy76~VUEfBBAo{m*L!P)eWs_2ZSqKR)aq zEBa5X{En4dk-hZ%&_7S<{MR3+$lU<3^RTzmXJC#0nVbLn*PzY7%pHshpZ_y6{rBGl zC&e6s&OUkRI|u&#WBv62|1W-Dsz#b5&Z7U#@c35(_wPqh?1SGUh1JUI|NdLhoiT*U zB0!VT=zm%lH2fagK}B-^!!jQdfb-G7^EBswSQq9}UTlDywEB${h z)c;`_pP}IQ=zC|!^ndvOe+4@lcx@U#TTj~l59cnMe+oW-ZC?NXY`=fMF8|M?{r^v*pJIE46gzemVR*$NrdR+CNa1~#r#i*JWkU?A zkAfXCfKdX)9irOvVe|j(fciJ3ioSwNWQEmwFK(Pk9`qfz&(?_lO;a$)LG$3-8 zKHyUm2ThZamH8p52OidccKQGMF?t5(&^nlcZxFOi7eti^!*p9wKuKIy&5(o}_-(d8 zvaAJnqfp1TMys=bzX`6DDh35dpaqjZjDv2=2Kb@&KHKYrqGB=dGZ4G|iLMxi zA4S$4_%jJgHm2HAO#oFRXqsZzp=;AY&!1yn$P?OB`U{hSus7*z<~k z6Zl&&kGXN@0ti#15aU({klG){OX8WSLrxU{1!tfk2z|U8ffGUY*@B)A-7@^mVM7d$ z(;xc;zva?>c(&6E@Vgr87-YHy!uLyD{wlu+S&RgD$%q2XSW?}*N_pE3P`gEy%gpU6 zcaj66+=^D-a~UD=NmEO*+raQ)v~x33-YwMc_-x4MEvy2_e5?9#xMyciJ@{7l)g|f4 zx)X^zphC}kSPoo5N#M+7Je0LduA}+BpIPP*(Zm|)p2f3K6bnYs?bblz?pZDVwa+Q( zrpGFO{t>`SyK@t9d}|!p<(5;4T5)2L;goTh$=kV?%bWRFBMh0eT`@VzOGS-VG7LgI zDemM5Wnw)=B7OCPLOKAa(ha&|nM8L+AIZyOz#FXDsdL?=9Xzb`Z_9B=SRxKaBxxTg z)xDX#J|2)-G3lmY>q(wIVqgiER7f3kv{n*T^z$~XbIg3@E?0GYhOJsjwb-q@Q(*6Pz1jZ_0}Y5VF~Sx+XVT`vH*z@0 z#byIGUD52fM+C?Xh8~CO7oGA8-*Xxc*oqOoF6)FUWUgOBVIIIc2%29XLH9+hLm%T! zpYH1_?-&&4BFssBUDzD_EccakL=%7`*79JVfZ{y0@dx*7YN6T{ojF{B^VW28nW@dTqdSGph8&lbECy)G3LG1Ab@a1?tdgLs z6pR&Z=p8WG4yr9j$=qQCJTSQHXr>QMTWxcg(<6)g&J5B%Rq5^bQxgCpx8^{Fb#}xc z$IRFoT0XN`$G-w{c}r(|bHN{6kaAFocx@+|tfSm|c&KBWL}9AAD&sC`CGL~ZmOAWo z>UM`pWp|dg!p39FRPgIlW!J$@Af)Vqr1648WOyKhm%R!`^IF>?j|7)$4ijp^`>M{) zau%Bd`2MNNv1E1_V6Qsw0C6K2`@PXHcOz%%;Qb;LZ!C=T=mie8@aXYER~q6UiY8`y zV&sL9p^R!C9rADc&m8V#0wY$!B#2e;62VANt`qpD-=*^n@=f2yZQW966V{()-Wavr zV*do83FjO~meC$D$PVg9c-G&q6!-{QA+t;o9rug!raf6aS_=~TwVa-$%syMOEUy4} zhiD>e1z=2bi^UQ?_jqSuFG=b5r1EuFaU#s!)VMf zxnSo^|K9qYZLekc;Z4ouAlQZdA!%Htcysq7%2$ftZbo4!E3KyEvxEjE`VBua@tt|2ekTc zBdt!-eC1|dS(6K$V9N6SRH#sPZ_e?{7H2@$RV_RnsvB=m*&W|SQT0ugk6sbetKGcm znX4z1e%*_2Z7`>NBB#t&Z$ll8`3dl95RqA~y!ZSVi{}aB<2US#Ixhj@xIP6ell`Ub zVAh1?1gmkC-TDXzraE-{{A~LxINu|PaaS{XFd>1k_M0>heBNq2xNvT=TF6jmGSg9Z zbL~}(e(?wA#`R^%Kpz&)mAw};?2gF3MEp*r;pXcE+(BQ_%x)xr<zbr7mdFUTf<3JvPv27crQPVQGupVb>BuGJT8jU{VdM)$ASSz_9 zdD$$JjCco2(PX>G=5Qq_VyPd21f>e$iN2Vs0fAjxVUd0p2A@O3@+hdQ`GLKY1=)Qu9ae^q!E;x%gfo^Hx;``^pFA8@q znl(kS=ObFH=>`EyYPYK2C}jLdj2d0Ip*PY!$#e5r$%v<>fw7}<#`rjLqwiH?d4^@9 zfaPUT3;;$Wf`O=gpo{MaUJ;AI*k+ltKMS$@l5IHvXYZ zO@9QG27K(i%M|u>2+@ykLrKZaUW?pw%%P$Iq3^vd?+yTJKQQN1%&Kg1o3?Yb&-+==9mE$&Xb` zb5z_A?&dp7#T;-Dn}U-noW&g(hIEFU0rA+A_wK{Hs;HUaO6PH>4nTn{DQl$rJEBAF zmrYi|dKGJ09IX%L-6;qovD-MK>4}dkmuoCQr}#T>u3wVM7GauLi2UH(a`1+p!WR5M z({Xk)BuhN45?s(CgFIE!RMV2xQLp>mHqKaQ#B1kveai7Z(w;ykqFng6pN3gjMKA`@fSA$yY?0J;myasd|9o!Sk)Dj%<9ZL} zoWp#yhh+0)|ItJ2oW>wMn#(I@`9mObrD+?iN#=JY`*ac_U>*<`~N zqkH6Mw_<>K6sGQFzr?CHI#Jc!CigWN=mn)ld8#`7*-t6Sp7#ZK?tR{s&$W=5E`Z@m zl@O2*83Is6P`nBsiWz2b~~AEcIp^2o-}6YG6VmOU?n|QZ`38emQDQ#!graM&X={)nkP$Q>5gCZBFQPoBPNjKIODNZ zW#;gFldJvSh&7%3LKvSuIN|044Fr{)J7u2^sYfH6s_k@}Qz1Bghp1vDkKEPLnD?T@ zaAntaq{J9pWY<1QiSle(azl!M@7%Q$690ATa2lNC@PQCNUf9twU!PR>@Xeb06hdv46 z(z$briYCF$F*!nyMf=(4h|PU#Nn|U-X7o1$N68!^<)V!OYWkzIINa~%=F!=p=niP2 zm@cm3LA=CVf%re-w6|StOEsSTKt)VI^C`Np>O_~}guwcO=0GqX{5n0QS>LdGh zz`X8NA?mPAPTmQzel|#*$^rt9&NA!-vvBiy)K{$;POP(R4#7;}IeVk}woXIKTx*wZ zG`=X+=0r~3Wid!BdGC!OLv{#dKYl^)gW}MRey#J$fM=&axnFwL$Si{(FdOAN-%C`v zV1tKSRI*yoHoiUHqieejQ%bFkx4*jBOl<4!GTW9I-?rPDexGAvWPwygVW2-Cc{d@)>uqiZ#0t-wot}`{PxU9VMtc zRykbXJr;V2GHLPGi*BgVN{&9X>~{JQZk8SN<;9&9yHu~VV!3<++t1H~$yQp*8x~fO zSt())W~%vtOh`5&25yg8AsUQnpHVtWSJPH`AjSNf1WVHz^f#}c3#BAi&+V!81sbOq zRDrABtUL8P8}-RIW1@CZ9dYs+rbmPws3%B#8LJmEiPd;efuu-Lvzz%+4h| zXxtYAva&~mxe{GTq*YCsnfJliD!#)jlMl8ipq%-V4m&Ha?iokaIb zV6X{fK9c;>a^j8=VN_MgKXQ}Y=v{_7a4|0Q2bP#8@bjYkfW_0IwG^&T=aVbJSo#jq z<+g?!=^`*GxGS(&Hx;wbdsES-SNbbH)G@+M5}nYA^s4I`SZOVC`Wx^cpL=?BJ;`>o zw>5)H8HGciyt^ZOQp2OmOhw^+n2FX4c)jv!@OmdRW3Bq|^%8Y4Hby2u{hU)C_1(dA zbGy}*E*mK@?>ijry2`bRa3B{u(pR(1tqVW=0MKK;x{jRPQGlnbjmI7cCT+WPf8EmX z&L$P z0FeUN;Lao#rLoFsH>3sGj*+Vzi`uB=A}hUlo+3ZJobgJ`0~D4qkS7lQV8b(%(p&)oI?lvih>QyVW!CXyo`Ej{mKwv$?C zp#B8R{<7bDpRXu~H>6);mfhZ~~k5mveP6_Hi=FyPgcVO>AM+>HU|ivu&lv z=20eJ*YmRb(eMf2E7;(PCeM_6_qdeymsCCIbPzhoZDwq#5mBxoVQ+1|+fl4Mi=J+~LQC5gUlbzwTf+q}SS^p;nxH{1zfMC)CSpm0 z5rzNBcB#X z=cLp&JDT7Y@12~bdkC`2mF+`dCaCN9oCvpQGGWrd<#uUODa^H3u9btPp7OaYTew}9 z$NVlP9-GYt7Ifq0Sf=STc`i5d7m`Wuyy#F3R-B`1ylvK&9VF(=>1*VkewmEp3cKCgxGk!(7Nr!p$78#Yuk7XK`qksEdS5;&Kt*>7Z?Ih#bUYuW zMaZA<9)+vUd)YojaI!iPmw&4LfYWr)9v)g+RQ#nV3ev!pj?4e$y1lvXhAZ>&$S65h z;v{OAZF|jZ$xHhD-Q50A`bf`CocI>I;z)XhZun64YN^SBL|UY6|1YEb8BJWIbS>X%iOHi6k&w@Ie#U~>pXd9JEIge_ zBO<~}(qab7y>Qi!G5yv=5&ahj+lj&`=HPh zp&84~tBnkwPH^ktZY=E0+FXMi-Qw49(HT&S^ZkS&A+)CXlcAFcMSPC~u2Sf3@D-St z43m}L2_9gH)-tef`ughR73#Iz!tIq;S$Uy*nNGy7kC1!_)inX>6jx8JL7*sLaPFbH z`JUIb*TU$}6G2#HaKKp8r2Ag5M7;~5-_G;JTScwsMt%``H@xmtuK;s^ocoLSP*zR) zYZGx^344(@Q`0XfnG1r^I;F!lNvSnirP@965_=3wbwTw50R`WCc_f9EffJciNUNdk zkU#kQJT%K5;L}8$ljq<-#=vN2>%LS25d(LFTE+)@xU@2ZHn|3Ty{YX@mD2kmIF37W ziRqDFst8%73C%&S-OHW|;GQ;rD(pyKZASA5U2ke;UGz#@dRk`n*!f;y(#%y0)n9se z-Jtw?6RP2A%>A+m4dfiS{%BfF;j(*$%x&~Ty4P!CPQdu5+6$Dg6BkkpYk`{GTN?=i zF4rS1$gL9>oRY^xQ4kdG)IQ!#lGVd#rgM>A6R&Wu?s|)&tKt$~8oMgzpob}VqYlG5 zk`;BfC5Ybr1DMG(rO)WlR`2I${dw#0mCY8&wCLTp#2GzPPx%NVmCyExF zx#dXJX0e`01ek?36*zu&lv{W@&@< z{H*DXv!#bR%tqI9BL7%;zbh3LBE7R>P7sLO$#N`;pIjlHXxB=TIAIy>%h7SscW9xT zD33VXJJ}R}Ujw3AJxQJ{b)AqEo2ifMS()j@93Lip@W>xeYL3)X)>2^f1e%Rg^t)kG z!Mu5=yh21EjMJJB3*}OfPtiv$yf<60tubhk*tt1EKbfA9cip}`+$-SCOH_om%}!H5 zlc>u=?YgBmks;CBa?K{>9_!62KngHxskS^CU!yq}HY>-nFDb{Yd_20g%J0Fovc}(b zsW|rs{Sk&?Wvq;urPSVto29~MPWt)PLpd5evXlUCCaM!o%X?F` zqiUFf%9>B)+N3_YLC zZ)6%kMBNqPl)>MxAYTOYtrj?e9+5n98XKuFqvT=UY3GoAY~g&hlIpcQeMP}Cj2yp) zd0(35+YgqsBEy8bzSHLW)O+@o0k5?rV6r`-02tOAQ^f;gmu-^JjzrhsSV^!-wJE%2 zii7zFV;E@U7%8h z8wF{8XCmZgPblWj4?eCRL*C0H%J{pZ824`xP~JvF-F8j5J;w42Ln1_jmAO-BmHhNC z&)OS^3&p`a=ld@8U)ej<1@OJM4={H{i=<4m?SY-++w%0x7tjzJ})*gCTk`((acxAb!BCdly(2+THFFL z&$Kx03@KVTLK!8cTlQ6*bB8t-tN07w?bBb8^ttYKHGyh}ta_3fPpeTMD9ts8X8-10 zpojh;WfRHKx;}2J=CR#h=DN)qS)Thap2z*e9>zbRhZtROFP1tIX-f4sg!7bI`QR(TPa4_{L?jJXdiw&&yrmD z5~D$DVv6qEUP)KDN1)ZTy+>%>|Hio#(_4~vA<3g(yY+sLTq%7bU&NO_3m7TFH_ajA zYI^ZYN%vmTrvq%Z(_$5Ix~^_+Y0Y$rjk<_9pIGzj58Yb2QQhnS_v|LN`*%0X>$mKQ z6qvw%vmxZrq~(L2@$>*5j`sG})xd>;KKHuigg)|}+dWNT!_gTD-TP_m=xF5l^bQm| zj8tW{7wn>*KmTFf+$z&qK11Q<5#C->GrC@yKegI-!n>gTO!wGenrP$^C;49}>6xxK zRcf!{6+d>U>7Vtn;OyFK_ND+M&rV6h?8!f%(~uqf)tXm&=Y*`A9r4mR3jcVCzn1&S zGhG%{8Hde69ch>!@SCIWgbCs(rxm6hbhn@b)qhT=!b^izbNU{k#Rd`mF6OgLe7zgV z`Too8Z;g*zTPI170v8NIt*1*k%R}S{B;Mn`G+)xI*W+sDbU1U&mF@lH!=sn*1NO&z zncQ_NW7>vG63=`nafsylJR*89j=9E5X9Ub!3wa|_8W=JnjHBH|K0kgv-g?1)dc2l? z(4)-eMN<>Y%IXXgf4DP!RY9krI=-a+lg+@3C|sQhNuE{ev*?MHn&kHuQ_u?S zy>PWPfdlS?5td>B>6b0X z_^wVybJg^gI^AxQ(%o&*Lt7g5MCI0%pEr!phMd=FZg`VF>FEI-#tiUuQN&D%C4F&F z>3?&~2I5x7)Bc7>l>NP?B&g`b3fYGhRrNMG(E{&aIuWXJVn2nsNXkRzaxU;6~9x50T zPDpT190@s?%S(;V>%zr^3$V#vRLVXag=H=fFsC$}X509oXx7f`5|w7+4Lx(dhgXB$ ze4JE%J-X~v%w>zIH6Y;aAo5$Y$AIH`~_y%!6td z^7fd7=-Z901b%iob)U~!_q16l*BVTv_(Pe3UO%Pj4xS#VgExQdi-3l+iERCsqiH

    J8ojpy!D6A$_z)(oApSIy-SfTd)-v_9+_F8G(`4@keQvGtt6Z5 zxUG!j7INFO@9R>XQ|I&fob&zj_jvri|C|S%x~}*29x1@Q>+EPLT`lUe*UWh|2x3)38S*oQBBSE8ZF|(3hW?L{qBUD3g6s93I{j;0`xMS)62z7>+hI2_)16LT(N7#jEIyUXG)!67meceOXQb$+_s#Uid+_sW^q1#Yv`m+g z!~_wjh+9~v6jN|N@vIo}2g7W2w6_RF-grW(8R$wWTEu zRELG8!d2hY7bSEt2igcgy~(N2BEA|*W^+Q?@hai-sS5xkus%35-W2uPajAB^J|KeU z(*^o5*~Gz7`vIE^-y$oTS?$T}7_M)|Hg8-{6`1ye>F*=tAH{CxSPRkGiG5HXNweho zh)nvCPaQgWTlYHUog$WAD>sd#4;3ZwHICMgp~lP$qx*1i6{!ge^_bc>nUsjNLNDX# z=+rv)D{uztGF%!&MSQG;64%}27_lkeB%5GXkx;)};`fsdD_&7+*O&;xMxj*ttV~$_ zA^Y$_jK2|oYS)yW4r4|(H{~;@1;H?XqM3P4YXM--kC>qmOQXBK(nBFr2RUhNFYZ_o zoCvMgMc6uYs3tu43c&i9(mG{5X)J#AgzVmO-XLKl{6 zQL|pp9XZ;>5@^e}f1pNw_$pt4ZQm{V#=@XS=`$!9Y;I*~nDv^>q89ry{ zY-O!_u`e7qvV=`qDhQ@t&9%@6V#+Tz-^0O)!qv7B%ULZQG2VO-c&7t5ZPapQ`(4M9 z%O%>H6AE51sd*c5B+mTJdxL?k-Q4Whc5mroY5z{jQ2{!S94@|DkFPbmvo$?PZlieL zTLcH9J@3iF_ptNW5xYSNHp;ZAQ-w2^+m;n0k2x@95Ed2P8R|5`>}JOcODQP5?!C>> z?dTiTCt-HGxl!t3YL#8TW5~erTcz`&zy+oO2qGf~hh@PRZtH1vSxN^fA~N zQyK~a)u*YJS(D`b=FVvWbmboD^%;C^%lu#zw9dy@#;WkIFE1yibUL2P8ktB3HXmvF z)AYmpWBq|NnT;w_;Zm!mCQdtnCA(WY!8avhjX8eP!AFQg6|KSDm1Zy2xN*Hw-%f1( zsZ?P*LCs2zZT&{Fy<4b8Ii;}~3NZ+8PI>mume+)BI5d>&kw!`PP}7uH4XAi^bOM(g z^`ZJr!lH;fGq~oUQ%Stb}V&e_l_TT1&J3@bdZ1r*quqGyFSe zGp5Yh1qEf@^O7bnj-bOm3OdxB)4~dG_lG$~V|8Znoo1xQ?~*INAGvx871n|0l0WJRZvWs^K3+&1U>m=gmBLZ1WKd}v4i(h>@iRzdeRkg zGK2S9$+*mueQsaSD__`=Hl{4T!_5k6SobTd-7oW9yHaE@K+~c*x-;(*_GN0p_I7uy zO8R|rYOoqjrut4it$C;09MZiapOY1GEY=x2qLf>e+3d}G1MR*_qANW%-Pkz# z2AN@rea{vBXG-wo`L&z)y1eQJ2Knqs&5UunN7Y~lM_CQ#zg>>?U3xw5|M4i|*o=9c z%_iGaYA1*o_jp<06}{_hFQ#SQ`n9PPWab#Ww$(_p)y1{}Ew44(3vISug%R%>q`Kd260XD5ntbNav7N28Ji(1} z*6U2locws%dSxoZkiHq5YuP$D;g`WML$ly|zZ^&;CIb3-cU`>KTqtIn+76@?KN882^NZ$&%^4Pqx%IRl#z`n?U5T6yl;B*8mG-&~%uqvCas z;6=<6k;ROPT2Ej_?AhKGm3j2`0%|O3f0FA&Vs==+7?YE>rs>qU6sOW#Surcb#zZdn zm*-vG_YEYvPiLha#u}jkgOoF}6u-viCT{K!ER;qq&w4j-KDPLiYFD%-%^^>DbFW$5 zQ7W#q9S`92Dnbdh+!LS4tnYgXX2bD-cvGjH8(blNQU@`uvTv|(Go7DHp%kV#qkmvIL&-C<^J{iO zsf6+?#rp=^Lb;$PHl)-Ll?w9>aZ_Et$E6ExMZNzkVNKv!8Qfi)lb!ULH4^nh0{RcLi7fP}N z4**(20<(Il?uo}FV+u~}$~T}>ed3jtL^He1 z2|5xW7kaI_$ZO5F{#^g|=+;Pj;OWJ0Yu?{Vbz3V}pVMuR5eydX=l|#^XIgxKZ-Uo- zG}n}lxSXPQQ)akpE^7QZ50}N-%-APZMkmHCld6Whl^8QZvZ2d~#fn>K(p*Zf-D&UL zbmyHhsY1JR>YGw62k=l#mb3mnGh;Fz{Fja{3tS)aw_<(us`INe;T;Jwd;vPEY&AhTkGZFG z(|$8650);vPe;X(r1hVRfg9Zzy>HrYvs`8NWSNE_^pf?A4mc>>dA@>Awa|Y-p!@tG zZQ7YC;H^_&INwIhHJ&Qw#^@5V`}MxK8c2jGcPUj44YWe{01DS3D#Xz;gIZqc`AlEP zOcza>jTUg5+Gx}}x|Od3&q7A@v2R$IxV4NY`Lpp?ombksEtJ#|eu+gR%Z60lOK#t! z2kB7()o@Q|Ml(+x+dh#Qeay>kf_n6Y@4LFMmi6h5_GQ5E^T_;T6!c*qA8j+l+*T=x zF%FJ$YEd0AM_D&-I!w=aZ#Q_expkd+@_O0P$MK;jw8Qp>X9F&8>D@fb)M+iZK{3I} zVv-olEghk-8AY$s6L|w$&Y)*0G8e(u7}gC;NyW}J;ZBpMRfokqq3V=+FEEW4u6}p< z#;hROv?;9&_f4&?h|~ab)#2E)f{%8Zs)VK>U6L0 zIf2*RxtpM{VhK^|4DN^J@ZARSUHgg6*2{_4aNG>+iy2ymCwp(6rSnNT0N#}A!>3-V zR~^A|4HTryULNy!*;Th3xOB1V@U$O_4?G0z565HqZS~7sVv4jxM5EKXZg67sai9HEY=Sh>3pSMn!#y$5xM19ONimcmNfwEL# zR-N6p`$_xQ!`es7sh%PGOT0JJz0cDwrC!sb@?N4!`R3@>RA3WqbG<`w`lR7-xKk?G zYJkCZ(k2*=bYk`RT=uofRR-0aV4Dg{8mo6p=A(UchUNP&&4`&oN1Tq>Oy;`q=thvU zSMj_%++zyHMnWu;>eBcbBRma03g;ZBs10f&?N$3LvHa5fjfeKD@OSMOJb{J~q|2mN zw5>)mh8cH0?DRaxY;T=G6U_!UQk*Xjq*IBgrE5Hj1{xsxJ^NcSb=(y zrXHKg?~hB!Gr`c9u=B+<#ZymLxKesPW(WgcPoBt2hwuc z$^Bf|%=-^oD!X<6U#6Uvsl2S*PbnG<`Q9)eG_;3q5J7K`Xuf9iH>I z23P9Y1q3sXC7oVMwH$WcNDZU|fK=+(>HePOZP-y9O{2v{E92e37BJbfVtkW!E7+0Y z_;#b5f{SRwKJ?<#D%<|TC(odfKEta^)cUJeb`Lg^%f*kDQl+1GR_^`TXXQ2m`5~T# zBZik~!9lToe>HEVxy#AZ&OVa~b?$!kqS8#c_U^F{Cw=`3!QMM!R(*x_R4be#CvJ$K z78jvn66qVOUnH~Lq~xVS6dx|T!@A_?=jcK;s_3Ct?sywGZ!2=nc%yw?EG+uNj(7E* zm2@Y5HGh-GwKOaLu&n6zYH7{z$UTX9viF2`Vp<34Ht47QR2U)nEZ3*rrG-RY*JT&* z)?ah6M)mIq&^g``)7qfSS0l1{(;eTipZ^XE<+OVM(N#^2b^>!e*Wp=x&6Sk7a8<>O zvU8WHj-(_keI<#USLL$!%+)STaD5-4D+j4aOxm!wZ~8qd*)pEQ&#N*qTuXjj+eth6 zBQ+Ev<@!YP%I9@{a;Fk2E7CxIE+ z7v1Xq_57B~*SC&W9z#E9`cX$3v(^PbXlUdst{a1XXJ;;@$lP(RzPaw6#MArJE@FdQ zHP=O5F?md$VYB{;vx0NwM;Kj?qz#?r2&~io#%WNkS6b$uCMWrlhw#4J1y5PQtCC%; z;u}ra`t>oH4*6LbMweo0!>3gwGM+tC#qkq9bFL~c+6GIFbyvO^8th;+i~X_tbb@Yu zdD#=-YVB9lql*3w_~Vcr_vIEYgoA=cPN-2h+IOypg{;v`m}3T z&C#JlStxz0DcgPfaJi@n{cM^7os==px1C$Dvr;W%}L{;IVR-B4ENar8q-5~QEmnGoMKJpFmT$Pv($;VGT(iz-Fb zk5|?ep`E8L*@)OgE+%FbcY%PirIiQa1m1!YXHytg)5UnUgHbYG`%x!YD4$fvQt|lB zlc<(b)!3D3_+*z?0_YrcY~dxu^*J*3u(8Xu?*w z=C(Aeu@v6+S5M#y65An>p6d{tOb1i=PeJEhIGiNiyp&*}Uhu^Bz%~vCeI#~Of)}q*Fm~K#FJEmseAgxwd7_L86@Jw)U|Im(OI~id4H5O zj#cTFTE)xAat4-D%62$zw`C4vK30cr^EgRHMj-sIo$r*OeCty7)g7c2O@|#fPT#jU zSJ)c$?s6Gn1Yb1P^fnP=i}Mt2o}RKIbxMdD_@uYk90-tP1`0rT*JG)*rR?KLB_)-uk?yNuQqe&@oj8$C+rrP*q|5R z;5CxVH!b%r4Hwz=S3GI5r4+o8%_>^%l#>5$*)jK3PlYYtZTVnp{=%TaXUk!qExqnvt+?IJU1!KQ?f3k0KkKw#UN3t)f!vgTMUmkX`Ig&a zY`k)}MMC4NyKXiqbR4WFGlSO#%S7FAV71q&myKm{>1)BaoY~p}ui@rQQMV$yOI>PK zocTE;ss+*0iuagVo$(PmqKREL)JtBW#%^2W4zw38_v9Bt1rd}EImop&A#i7^!IJG) zS_MWAoh#DlZXhwQY{F(wI%aSe`umF(*u&m>%*YvZz2mKF=y1e!2j|j!=|uZF;-?JT zR8|`4#nTcKxanLFtm#}RG-)HM6W$8vDnO!eU6~4=_NI!F0+HdP9m*Hh7&h`>utycS zJgM)F;jZtjIoXf8EenG{i zu(7n|=ub3uwK%C)0*)CE9BnCjC{euslB%bLQT+BCuTvJ9W!s1xCkOnSUTQ*cK(obG zc0WyeC`Y(+K*(;HkTt!1UY}Z!?y+UK?898%-|wvhhoZaDb$rkxt!gM>Is`I2D=5}E5lYzp86x` z6*vWIqYq3D%uu@5-oY8HWGSWeieg<%*%Ix(ep@hp{Iis-}ofU9Rxrct_U5JE?Mq-kYJ`xRIKCOIuZq(tz1&dkOTl? z20Mv^y$V;erh9^PvHYu%`zh#)sItat-P!BH`h%+=nYl7=cta=^M|b)}0vF2IU&&IA z(sj{o(Z1|sEzkEe^dP;-iRMtLu|-i7`Gkev@?{1TNS4+uj#RmuVs=Xh`Q(?3x3Kfo z*){j4jyr&xA-yomTOa8Lao!D!5vC^y&b_!dc>}A~Bsd+X8tOvpFV-toH$fxna{2M& zZ3X(g{cmhNCaA-4a0!p&fxqE(LtwWw2>i~7^pVlHy-ML|DMqm7i$1j+GuSpY%rHMJ z+qN*&pERG9)4S5Bdej6y5r>u$6i`ZIaTRRokLH82ZhqR@{9E?xoD*2QpxoH5NN&ON zckbZhl({RED#;|r&0Q>a39XO^)!po2n`qiHGcS-ljDToe36 z{2R;WpoLl4J|Ks$dXjO>EDbETY4?7Dc$z!ZVMDDI!3J;y2FC>-y<@TDeJv*XuoemcyGKTMc8W|K94 z!T0oQd>vlfkxH8-pk%UN0fch~aOY=?9U!LQVal|hc$YC|&P-8RnvKSaDG^egQn$-5 zi;Dta)tS?hO&vgXmkP=tiN5bh62eB62lWAg-~@nF_9mCFDSBnJGQ)@FAFBhr#(U$| zWMjx7>*T>^w>in)u84k**sYQ_5u}2Gzi?LlBBRnqH098?@`yOdH9vnBL}PhN^%{r4 zsshGLjp-fPhVU{-hemvB8h!g!>j+P)>8`uc(4EwnXV0FUas8Hj8#w#azg{jPQaq^s zzE*oTmS*UWWM9@5PV0wfuN)1&bzx(!_c6mO8JTC$U^M0Z`jA%J2PQOx%|dwC&1ct_ z_!*I+2P{)V`+^w-GBPFyz^l!A@wMcg$k&`@3Z&68QY1% z+!x<|PITMYj1g4;t*LI16^M=!LBwwNx@C27%SKdARDRJG1?5=`ND^|5DvX+?F^vG* zzqAtsXzv9+u(8a7te`rMpx2B)@S0*w&e8nIX;2#~@!q&l=;K{-wfEMx8~fF$2smFK zfv(p~BG|PN5Ac69n%Ca)(MzCzjJ86TDBv%QTtjeJL?Z*qd^SVJ6LM%40DeU@(vhSn zzO(G$;_Tqth;T@}Iu<+}<&>3%8%}QW!enm7QlgU()#TARrj&9@vwMBX`V289gzW3(-fjdIv+AVRMaxmXe zdZS7M`T$j4x0tkin?&8Ha$n=BS-3nx!m_|dtnX~#We{Cy>WfHqn5ESk>|&#^?w`6! zPB*Z|bRZ-Ar3+eF1S$mqnrV}Sdy@l>|K~Zww5h|LNNIArqhUFO1!laq=UHorH0^<( ztcpJ#AaM~AYaC{;Lpi_qFb~Sp_q&jm#PANliNrmyJ^F1Yfsdbu)WZBP;Zv z%NOY2Z#1f22f1Pk$c0$6L~;&?GAvvker2DG8Ljayb(8o?z^GPay>w-KdYZWL1uQj)_7RI$Shk*6B zW>Su1s{`*Iz$dfYsDK)uuUhD_Hvg9LwvFon8jpOL(8j}`4!rSIJ5ul`apd0*`uE{V z90LPb$d-TbH{<-*r~Ld0pA3#XJ-!UzPb2Wtp#9ChHJ*~#cjFjy2L67NAVWNQ`Of|~zDJn`{x+Py|4JY52f$8#@J#&gA^P|d zzL(Gn_GO~}m-iaMw44q2E(rV&e^r?jW|>$e*l6GXn6@9|^x=SMF}Zg0#IMvGfByy; zHW4z*7l}fx{`;c-IX}TyU|Kk2IsE?olb`GP+h8Rw!Yp%Ky%>7vU*1~)(-M8J z%;J#L#-P~l;8pT-;b$zKSugWH2-w7&VsX;qhG*n-*p~>F%s!uU9dNi-nfge_fLipJ zoD4eGu)1L>)wx^Zvz$zDP$ao45V`gO8;ymc3p5?~0v$;&z#Z~NmecsBy0q5Oqq`bN z>6bTk=K*7oGC+X&atl4ToSmTSI|He*SU`P)qGfeq)PM$3m>7^~R|XLn>3WfB9_hr0 z*=)tDn1MLKTRodAv%Ns8XkkI`c+CLywrA?u3<@_#uM~CiiFLmuda+zKSF}N=tQsSm z9b%aOwg}bW@g)70kq|CnQKSSrT?cA=H@K_NbK5$H>Z7-XZdp6Vk$U6Mcv5xwgNzo) zX5;CU*;EM7qLF!XiqLZpDt7SfjnHCjxcSh$B4~qFX*#;!k&19B)U?8yo!*68Wcj`1 zlsDomBM4q0KsUu=7JF2cGI%ZfdWsYTKg9Y&Crbv9Lg#d-#KB0+yH1G+sbhXkVeMtOi<)`_e;oZu5L*O=sRiKj>jip09Xva)B8 z-CSD^;^zCz^tqD&frHPnn7hc0Nk#M}Go0a(rw&77~orO0ESOL_UddXdL zTd}N49Bn`>Ke+pVj4^yWOsZzG2Jk%L75&ifZn|MVW5+z>rAkFS)g+{yrVSy^kh0hx z{RLGJfJSu3l(fSh?tz}N^hgeEm3U4i8Cs}5VE|LZCeC>pmDx;l9^3E*x@)c>0l!JX!E~iY>1RS6G~TT5?g8>KGy}Nboyg59)bMN6!l&xa*d)MrjsoGG&jVYVtVcKZCqSic}yKg;%fFQ>wG66l7xn)wGNCMR6$%%Po4y`VboW6o?7`@qh(EC>R87IEeA3ocXQm*t~X*H_eh({%=V@l>G^5<@w3G1&O zvC3oCO|52;O9hMbV~_GIPq`}@9JwS!YDR$LR-iaCS^*=iIPHyihgzYPr$G zZGO`Dt8VRmA!?!sS>~14(QPSD$js(d*uO`P(1q3u3G>Ld|G8B2vIU~2wv-Jd&8gv3 z8zZNhdwGH!2X7D_GEvqxN~iL)l%FY^2of%8IbX-^BQl$Pl>o6Xx|txZ!X+P(C)0djD!i=dyd@dMc8)X_ zwm-U?GfKaAn!F;s@>Ro3hfCbP8y$9MP7D2cY<6C#obJylQ^J0k1$0>+vt&6DH$t$* zwn2FqsrW~##jg{8yVugcwE=PJl`J5_+U<0$Vnmo6phC}n#-%vgzqD%3y3@*yN*>$r zo(fkRlRdY2=DdST7s85lj6;j`qD&nkyomBT#s4(=#`oEm)X;jHB%$ww{ex?zH{+ zl^%<#VVZw^r5AkV;ldtGnLyadZHDy!HvN-Yl57T6VHPdLH z1%i<9r_*_!bCwt%0$R3?uy>^h&3#6T@w4MKk{O-*FKtY`H0w+<>qa^lcyg&ja;55S ztYCU&v7$CZuk4N_#1pG!6_(6eHs)KSORz7#>_hNsz3E~rr+Yg)$=bQR-z7BWL@$aPjmMX!Ib2DKW6b;U6wVRYFT-w#>ZW)CbT%r_b!7UE8K;L6^KV~?m!X4b6erU z&8G&qy_oEPQMyytC%#|sX$H(AVi`@zHfW*mCZJdezF#q`S5xL;z(jr^e1F@I@1K6X z{o+Z-X;y2(qY@IdZHMoh@PszuEaiFcSiX{BMm=tR=`^dc0zE&O2Hc~5m64k{|G7Z7G%e<+%LZ0>!%OTrBDMBb`;xdAqNbZ7QTTmB>%)c)6Z2S8N*r+F zJNojMliNn|%cCr9WJ((Po}vsS)qgPpODkclgr1xyy3}291YL7b6@1OpaM2{$Ycc`` z?*Y{^aJuA8)_MWDFB2N_vvf5RfEZ2%q^=$b0gk+Q;j~_{g?hM}+igpL89uI#l`<+r z+=9vn0%wc-C1{;Aj8bfnz6^`y&z*-ZmLaz?U$~4$t{nZ7a_c2ms|wn|AWhBZFGDrx zpKP9anD6xSGk5B?T_yKb#8CFr?C9>sD9ew7j9*($7@6cVbsKe&$*>@_Hl&L zhW9rC05^@TIMf{(F)yA6vcOItwUYrroOHhSw+Xc2lvAto&*p;919_KO*y8cd%Tkr( zjXI{*efGAB&~(q!G9gOLIYUQbC#YI43rIqun;n_--mc% zAB23Ql#R2lHcM;wCmU85A-(^~09Si z{QXRy-52-W%4I*5p16TJAa+VH-md_)u*Hd0gBy~{H7L_XoT2KSl zM?3b&o?+r!8p_Srd2WLi`C&&aMO&XPXuQbNUJ7**-1926QCc8sqNAHg5wv&hm=A!5 z>U_wos;BhQv*HX4;(nW7=$NC*qQLz5jTL=$*&8D^UsIc1e^afTLf#rDp^n0T3D|i&_&<@AIcv>a}CR@RCZzsgM z+4O7WDF3-z2a9P<+FaOs`m^1d%H#IpvTQClPU(F&^s!c@*7%d6p0=)a)IHG8+zaSA zMc(VRcha;yHoFtrD>=>I3PUx#XAjQfPBe8LQESoQAzhvA=YGWcq{5VDyoK+=H|_2Q zhY0Wi2AacpR`()`!hF2~XHNJd>(~ZE^vZkZN}cAr#w&=Q;F*buHALK@JTc}zpg%|= znsgH>-Pn?Bh67mo!gvI;(OlR*Sab`CyozE>Z^q#N;%>bmFNoika&KU#6Sna)i%upG0$*EW+Aip^t{mc&OEAn;{#|4v@EddRl3>> zmSMf#tkb&@-FHnk5Kve6H)qoTBYefaBByixF^*T!)nsdB*p}`1fZpE^P3SenR0|)ttqJ z=voEYKEz=OXBoQ^Gc4&J^Up(zVkXE>XMy&Pf0l*##KO(TbZ?8<&(=MZxHg-8xCOby zRHMAoOextchWlu~o2Y^)J$Ekco=uB03VTO`h4>T09SM89N4G`#cXoqAA@1N*v^EQj zJ6hb1S>AKjon}mLJNqQ{Sr31Ae7N14il;-biCX7 zHbmwLL!T1zmx#aE?~E_+50V?oxaFgCp)%k~U3wjIVgYaOP*nLbUK}C(9P~Y!9Qh-Z z)D~~=Fu3i@lOa5Gm+CkRqp})~`D6h9d-axS2yIVtp7+{bhfx9b*TSQD70qm|Yv;u0 zT9ByzQ(J7ZHZ%fW=V>Rz<-*^41B!|i&5fh`eOw|nJu-nLxO>;W$63}xh?mE9eRl2s zTbQ#$-HoicT;IoqntT@RMfBl^TeFd&l!-mM_cc-JPLbB#-?LL}cWR*{J$Ym$*CoRR zl!Y;1-_`Rfv9f7;oTzdh9mVns4@jzRuc&~RGn*`fG~a*^_mCT*l|+iS!%6bewV8Ji z*E_9Op1f5K2mNE1+{8YYr_Nm8iz_s(_<|s>wyjVL0n`D@t#!E@3}Y&_d+tptPW}$* z%O7$5lH@bBb*8<4)WNz{R0KJ+v^P9>L~M3o%QC<}ydvlh`eaG=!;Ro3CC5XoXjby} z>S5rva^#tT%k0TJCq@Kw&x6R%b_y^O@<{HzrVuH8isQijx_8*Oiv|kve#{{!K^N#D z%rTCQuigKQSY)M#!QCR?=Wyxejo3DFJNqA5hj=bs3ksaQ4J#H!{M~(!tWCO8ImJU;^I7}xw~xYV?CJqJcrV#val9V$nt<+cHLJ9~>qq<* zsJ@MMPKGH8ou)Fy^D!aZ%TVyu`C3o1j=|N9I6_ege7dXZwR=8j-jqZ+s3&;h>22?l zio!NrJx%8D^#0!To6z!E6}sVa{n&?X-Nte`r@qhRw8L|s_tRYr)`WPtUBPQ0oL#lO zKs~xHCCP&5lNRk37`OBwH(rm_8-SIoqZ~W0SU?AECpKYwl2sk(p^_FpHX>zma8k*< z)I;CFeDiG5261Q?Tt*_Xxsj?05p$r%!+;dbVbdjTQk>Y8Ui^o9+ajQnyzm@M8hZ8n zxdqaLzFg^A=Vv*rhtiz(PD%_%G(tWfjb}yMVf}44*byzZ`;;Sky5>$BY^>6~`;`l; z*!m6*mi3PfR{3sOyMh*;TN2L`-ItFXQ`3S*cm0J*^4e80iCT`YNdD=iE-*z?TXuU- z3y)@iDBXb-K%eGTb^_g|t|;i6VX789^KJvsHQo8khihI$%JEp;G6&=Emk2-;100M` zV5!6wA1b|o@Z~Ci>#BzWXF%dM5218&0@Qtm*Uo0f#?o|D!pU%d=@TFwnCpm|I__CNh`&G-)e8<`NqRcW3;j6}8Vv zymk=QEp}TnVdlOPd80Q|9RuWz3JNmP($X6lHHJZgEKXhm_R!jk0a%jP#%bvp6E!NT zRI>9{4-Q6!b%4xGCNS8&OseQ!_jpHU$2qq5F@rwq8^j-eq)eu`6^T5)o5|@|@fpzQ zTRr-6XG`*^HJvxQ(5TU=@cU7UoqFwzCI5NQTa=!1Zhf~79sLewU+kF-Ze4-BEx}HI z$PvNZ_D)3^PHGxu#U;Dh3Laxwl_cVcDV2BhPzO7zvP3Eh$VXnk$#2@ z9e4G5QmD(3W^zA*lXemtqDKO4Eb1RoV4z=0J(kZ}1zJMXA-&5!sy%2nWRfcmm}rM` zl+~>b?34w>!(5lh3lHP$rILgSBFn*isj8%-quCaykrH{JvNdJhkB{hZW~j(U1GeCd zOR}|a+uN+~W?eJJeTP5FNw-G*6aCnIDBjz&yslp$k;$K%$kV;I{28$Q6-Vte_x2H| zdsGd(09|%XxZaP9F{WSEpc`^@9%qM#R@J_{t2=sq)==__#BG^ksXcJRX4$&th9V)l zn&{}U+9?uZMM7d-Yn@YuT(f+vcR8=&6UAPQa;kV~W|VyvH;&|38k;T`V;o6|UP#E; zV_Yt8O~8lblWMg-yn`eN6T?n1nn~eAImL2GT{wmt@Glw~%6L!~3Q&GDi2x@4OPS~A zpZPpS%0hQRu;MjWueE)9RDUkLWY!uE}ae~_?P#dCxR=D z>{0#C@&1pmVe^Hu&=s~T*#BCD`m01GAqCTN;Zpwbf2j>#A%&VGVd_=de|c{s8%&E7 z+p&L9NJ%6_YLd^7HX#A(KMnB&{%upepn43cD_{zHK}sqQ=<;&_t*0k__e<87kt$sv z-7< zfL6cfT*JwUY#%!$x&;5#x@dXJ+jRCK9}wliI+oki=7;H~w7{(HDclPj=lWiUwkzcqECE~Uvs z?~necc>%GU3RvOD0EzNXl}HH$!1I=Z4#uxwDqh@b7i6_K`K322N(l2JxmoE9bmFVF zC5Rg!NGjQQLOqZd+WcZFo|OxJ8n44-W3z}i9xDM6^1GH=E zB%;f~^)F_gBc$WSu8ZT?)}ID{Na8rx4)p9R10dL21ptJ(q3^`qD90fgnZxyJ%-1gD zkrI0GjPDZuKdcR4lBj*+M^aMmk*l1EXhyktO)}D%%T8Q3HBH|HCxqr9w7t7g1p0k^ zEJ-4&hO)1x_^62h@3M+5`=v(f$N(Y!%Hy9wIP0viVf~B?JT@FwfKsG-J4oDZI^iJp z@+eXonc&(DTO(>#^*R5TnqLuQ&ruaIGGQzkK$|i*wIS>>uLd!%d#SN?!)yu8zu`2|B-6lm9$b+&H&dLJiDU&hw&6tl87Epdg9?K8Tuf=%4PPhMVwF5pb&~kGnG( zq+D|V@9f$Gq-sFbA9z(W`QuA~N)}rU6nxDppy4KJCH%*8c_#|Ds!Cp+m|2!;ziDgq zHLp-RV7qdT$3m9wTGb{dtJ4{%fawBfrKEyRW_`jg=IXnwq1GBMLt>-f)h zP8`gkRpQCXrdnN_vMYfnE~NRe73Y*YOf{R~5A4EcBrl|qY0pE|mW}&VpzlXOG9T~% zWZEZUGW-dufoc#MC)H1#e&62S{@Goh5fFGPNZ#d>%a;$&`K&&WdUjYE0qoiW_%k2y z)mZj(6$7IU@;5_SWOM}@yI&$9%zAILsmQ1X?mOSBZkn^S0wu0#ogeG&YrYL%OY&ck zYCBrnc?oEn)PebTrz|9vVw_({V9=`fC6qC_YA*2UAtnSV$bRe}5+gW#QmZ$hI-Ym^V;1ia$9nezABxOXmxIPwSW|D_f*i1_ z!#-7kM)v?_Yd4bW-JLefDSo}CT{FwziKH*wix*d&V$ly8+J(5hV<#76Jc13APckmi zrW_pi+vYrAdnZ82cJ)=Bw|DGZ?JB7qbL~bV`+$|bAYJPxwOOFEa2{UQ&w7?KB}iAq ztbOAC(reBLdO?o~kN1a!5IiWxLL)1I#2J;}I~6=5<--x^*JXFZ@`1rv7+v^czT1EeFi$Qwj+Yy{ zOqN2SEgPF_{4t8dE~jk;Z9Y(?JPvizrRtxOiW4EosB3a;5{rt9l%@(Z4|c4dy-jN# zYAstnKJyiL1N3RFC~?rZCExs;Y#*#IUbbm10x{Hsq282$EtoSdXR;M@W&Wlw^VBN6 z#ktb8$}U7d1HCxfsFJSti6Ne@+tndqi5b=8sp#dmF%}^o6;OWjOrF$q*;U)^XwI3i zozeRRp^o((-#jwV)$_MtB!MAf;f8%e3*!q81vYXzSiX=s*6yipF-mT3gDz$#-Q9bB z+zq~GMSI1}>9biT2ew`P^f@W%#wm-&U3AbvQTJx0#WzEAAPE$CrFV~vBC@oSxw~M6 zi;0qBD#6z8o z7KSmYXj=7ym`z}7)I`Q?IcFdnUxJDiQ_Z4NYW}6&4ZijA4wzd_O)r&cJv!A1rFXMk zAq|fGTaHz3Sf_-gl?B_X_UyljgDK1V#MifK*x#b?-pq>(P+JUG?CRAL_z*<-ZVGCM z|KMiSD#4|?!$E1CIsW8C1D#=i?$^>2i^dZZB@^m$1WW&X-D4>LL}c*oX({bOIRJjG zWBNg&VD?JV;(V4>LrWa}F`%6PhnF{Ax#L3m>5cw3sfmR<5BWFM1CAT;jYvSTw%D<8 z+imHSu{MW}2{`SYuL45=TB=t0O}<xXRoc4lVM`_#nK#xnG0os9WwSt0KJs=Im`}@@2$!?Xi|51|tGTv3;{7Tu zU7(zLX(^m-riwu9Z&fp|L!G9u-1~_6*{4mP6CXW zvN3uOhQPE!vh7HX7Pak{e438%{gCDR%X|ILpC-BClHD~{RwV+Dj*^qxCEwI@(0Hmj zqVqP^=;Ht7_9{QVQm9vyF$lD?&8U@o!%9`lU2?9V;T!{8SIls9WTw--WlsWJ=t@U_TMP=m#!#oAz2tF_&tR*@`tYs>}q5nHP>N6?G% z=$pUE3Qn?vZv4h(fAI?9f6M}bo@eJPn@Pws2Aa^^{`|btRp2JvwNXmHosz_1yh(M^ zThr~F{D;e1E0&KgA?$T1&}$f`A~3G#3TOonMTVWDk&ND-&c7GH z-9AeT_Jk9a?c+T;Df0%}CB(M}=WaEHGGl~g(rmt)Ac zA3m@&Bp{1U>fiQv19Fu#v8{oQOvw4ERsk7~IxyaGc7)xMim5hfqq0_kJ{6k>C;l1@ zA^lh&Xl343J(|Zn2`b^&fDA@0JTri+oQ;Y^8WCJ@dUJsF1;XntGUH3k#g=dvG`4v4 zQnokxYj)M2d9Dt~&R>tX7*89=W3J*RvYRmHy7=KS<8OO+j{fEC6$>Y%3JSTQMmJ|5 zQ2y>lJEt%JFDkbhLWo>6Oyc#`52NJ0872ePaG!35bi@>b<;R||JwkCXc_K98XVeUE=X5R&@3n;>}eZUmcjptE?;UFRyQ>@ z73@pA=-2aQps?89`akC5j)V^$l9dFm(3V4XT{-Eq7uy%Tc4iHvV+BF~`wSI9-3bT3 z&j>gg9K!qah$j{_F?DTt>zU+D5{1^ApZbD$si?Hv3@NLOKw*2sT8(iY#9 z;Cbm4RnZ#&2;>?~-K<`#QfeaiZF&wkL(KZb6HSm+DSRs8=HTF5x&Zh#^dG-#vjU{G zG0ZRhne)>}{D&1G9!1@1f%Zo4`r<@{$O)|$ z@PRqeNC6ayYk&MFF#>PWiRAn;rdRHn>-a;9PpvUinqqI4==p61seXh3ul`FIfGtas zFQnlfI-Ky^p{RkFb2sYRr=zm`eAte@>%#Flj${OXz72Wr*NYNAgM#;;%A&b!k+jxr zr1Cl7plVip1Hon*)OcCU_T@}nNuBMs6Gbm(rrv`>(_e>U>a4xbq%1o^NzOxcJvCoo|qD*ffwzA^mNv619?h z{%l}+&J9?MYiw>Lo(m%biZdYaLd8q^E;yqdX~=lJ+>qqN`O8h>qx&~F zIlf_OL!Ho3H8t9(f@cawf$toCo#4Hx9=l9GlE_NgS8#ZdSm%ajazXB#t9BP7`Z2%C z)4q@*gubunYTeRgk|OqvV%shmN_E_H<$4qjQkkPc*Td1CwPSjMhie;+rX z&gjx!Rf##zaYv$p=q+_05UxEIr!W@QuZSex_(d){kph2cX{%Ro@S!8=SwXKJB(d#B@8 zFm+RkO#||1qmAYT{tRh1k|xh~XH>{G^ODVl4j$6M9;Rb|pPC@N$xH46Jq{nmtF5+g zhR?a)7?e){M*2*1=TbL7^L*yZ2|2JR#r%+wGRD(PD^#k*Xy0>^nNZ^BCV=mCF|P<{ zN0va0SBN^qMWr*bRhXj7^>mOgqd}6YG8776DRQf&>utCW*GBF;K2+b`5Ak<!U$_oX6C; zm+9vQM%ZY`wKi0Ucr1HfT zZ*E+zJM7Zs>IYZp|GpHmbKqQ3pgIt5R9ze4{_5Q6x=28CG{;a_|7bMXPn*AIh4t_3 zzqAnW0PpYFuf*ns#isxXy_^rSm1cVUSm;B)TnHpaX+X6{?iuBR8hA{JZ-V#h;i{yB z9O>4nQ$Bw?HiVTdXMt7x!8jo51E6k-sJ`&bLi23kyZ@4VyEBT|V3b%2Kv;e~mVfwM z9g8*$diai#OYa4Oa{TP>VD!`LWBH$6-&ftl($OYHr|)C>jK9AvCMRK|RPfm??!5AY z#8A}c!&xn}Qsh9i>U-GjS~yEzz`i}BvjZ}(kKWaVAao;$kP8MXacoL^;1>{nN&*QE zDlQO;1RjXYcCjrhNG0ZCUEFTl0iPg6OCu#<^lE+YQ1a&w~WU2_YVMPV4^VoD;@Z;bdbI# zq>c39o39yfTvL$LEXZzV{%>E38*zN1>Mtezwmk49?};DNis~TlJjQduJt348FH91O zx;;p1f=%^?39lP=a`KDK=zpd`?`R@NMcqF5INqRA;^0=ctGC`(?*WI$f8ffh3-di9 zYml}ef{i|wR|^Dz8IuM%l7qqo3g;$gYPAbZBKF94IQ1*FtVb%fK^IgbkWO5`Da@z% zV97*pfpz51Ug5oS_z4`!4|=vGe=oJ%aq>adx=CEuZ_c%(>&nSrC+;O9#5>L>AO7Z= z{<^x~=Uze%;*$?Y>Mx)A=llXGJa6A~8tJ58?ZvNg&W}gGKLUrL$uk}K+u{2Aufp)&L3<`-&VSogfBTh_0pe)6qvQ|& zIUgcX8wBtD|Mc`Nmyr9z?2T2_CJGh?%6y4)FS8fB@DHn)cpSE@)?)`I%D>IY-+wiN z*4(q?<&%-l2o+kLrjpv~?b zzFl9{sy2*zPj1RN9#Jy*XCs`d?u3rP7}eR9{Ru;=DhN4W_)t$*@Q_#|6oQu8dR zaR-}6A;71&p2L@`i5?n3C28i%8V_2uyHQ4e)MI*7nehw z5OBvRr~2vZ7}TB6Zxsg%9S3oKQ${PpCE|_3)9Rc@y+28Nc2&8!AkkmEny1`s!Tj~U znVziZTeMtMLvPML%`{_F%2B^q|D%4c)QX`wY|EA{RHl-!z=vlb7LzM>uJO!eH(`Gw zpmvN|d0HN;TdtY0=cK2QF`d}zy7c;UDQihgsCD0^@XIZQfovt$^|{pjia{o%Uw=cr z@l~7}i4E`P7x$qEc!-WpQ*^m7r;LB0wuvb<;l3X}mFsjlIcP;3=NX4Dt$_Z~)i7yB zeE$H>r2DL4v29J_<4|=60 zw1-T_yeW6DkN5+BFsQQjA!D7n1uR84oqH+=QmW86nY8|7#t=1mU!h}p4y$GbKu@s0 z(N*AsQEn%9F^ZADlmZZcPl30+Vgr}@z5SW{Ejq_DhD>k$F1*RSKc&Y`==C|fdWYx^ zUcj~+1$(@-T^q$oEjmMcREzwl0=45Bx44W^i$gdoOuZHN##{s&K<0F2}A@&Fwzt@ zy228g8XGyf^eX(t130v6onEjb2iFXc4sIATRDW}uYdzzc0A@U z@-HE|6hik*?!&`>+avxw|6l*%S`8WFgCFNEy6rlf-M?BLSo(HG_aBb-T_Pqf?xWEo zu+5b_hD;-GSmC+E^Jd;N{=DE4zyys}ucPl|RqDI2Ma`Ox_Ggu+_FoNcEwf#1ROabm z=$Gt18LDRt&Aq8xi9Nxkv&N-5be>0>;niN|w!8dTPHAMVP{6F8L)qm*Mea6!(*&0k z^kfFDm!YGK&19L#xF)DHt&SazvOmwbYW=#S$Xqj!pQnqeYG}E=a1JlnGh;R7!&hHA z+n7UdOf&h@^AbMn@~(ChlIvV2N6Y~}PG+flp`n2X5xBxpI#_KfH#Acz?TgM}kXl4z zsY&1+@w{v1L)6~=w8!co5AP#YJ!TFt>D`5vA`!OiX|~*n&~Dg(9;AtOO&5%D89Oa6 zKZs#rG5j(KPBCVMfm0v?$Uk0ZLsnmeFYoc60Dd1cg5X#);GMsSVu=q^e%b8he)9bx zT`rdONai*uu^!eQxOZ`(rS{=s@hpB=GxEd{=z=8f-b|hfXYMVtnawSAD&Z1zPO?pr zzXyKyg{9v1&(^}&ay*3Yw3@K1uU$K@?x&>W_Ng0*wioelI*o(vK8IlxrIh%(X7d?? zbA$AQ#-X35W1rGLanAtf#HOs&bg!V<+G0Q^v1g_7zA9;1kXazaT)3=gJwO*Yr!HmG z)@&;xv=stTHf_u-QA!Y%_f?y&Wdo69;kd^{~3y^fBYb=h8|j?XdvqtjL1 zSQ)wc=CbA*l|J5ZTO7*&9~n61Kkx!{>;Tpa09A@?ObxsPdxM zKOe32)q8*RN^0r)S+tV8`pZ9Epg^Vp8K_p@0z%Zp!JlRAL0fY)7U=#XZhx*LETblT<>rG zKcBN}A@B#YSv@1A{}!zYt{e_`~(O+vAd zMxNm|3P6V3Pft!}7oWTVN|$>No6MbqBjo3|YPUn=<^^UOVLiv+(L1yA_1kfk@Ls++ z0SouWTeIOx^}+x2gzr&ZGfRKf3xy81)4CNmdP16E)SL9ssmphf+0LR`q%g{88KL{D zdI7m11)SIF1{1?CN=Kp;pp#gaPqO&8i=mf5ZYNdI5bvtxsH5Ir_#?S2WP1A>tp-c2 z$7`!V(V8fZEw{__dszg1c13lYK3${FZ_XmR-(u}LQigsL9Z8S_=0rIzNELv-^}BIm z%MmIb9TlG!fBQ~?bZir$s=8YC=IVN)a1m(v-s`g&b`6 zvWi(VI&ZG_t~%Mxc*gE~D|STgaO|FQMwV*(ttVp6VL0N>?Q=V{>05i^F$v>EGK*LE zSK?=DKheB8=te^M{OP&a%N~1u)!)+SIBepSxD@WIXQh^G+QvCNlF_%C!EF?0kl)<$AMDpk__5A`PR0XT^XOvE7(0qDlh|Iz4by0xsSO3sK%HFwOr` zz0_*Hq6J2d8d;MnrYYW`wVyoO!$(+IbBOvk7-G!q$T-i2EhsoxwPp0db^E1cj(`*pxlaLSClHdK_PkVRgjQn{X`WyBUlHIp z*Aa5b;WUK^Q_{iI`$;nOAUaLA#K5=!<33{%_cPob&|lJl5^$p90j(xTfcgMUma_py zt}gI+4Do9)fgxkoicE$4@~+b+{8fzcJ@s>C>UO{x8lkk!5a=&5H)nNVy=vSo4bnCS zc$$%K#c-R8dC^LCQ{Cpkt_JOnmTt+{msDO_cQa1<5Y2wKDs#K5J(zFkZ{Prd#H7gy z*hivuL;SyB+0Vhhp=HKyN7?`5=FeoZ2St*1-5GlE`74*0ncsrIR;8tb)j)9eaYuZl znMHyGt=-M0cVY;c6)O_LW(r}8lm?}v1HOSi@);@$7iA)tz$M-0#k;$z`37g9Vh@C6 z6=rv^<6Z8N{}p8=lac2~O_|4a#}*Of$fr&C=0NqVNc?V#^wZ@V-v`ElOAy3xJLo~b z`w^;(Fx@RXs*JVQokGB3Ge|2b1z=A zq(oQA72n-uA0|A1@CUx{($I>27pDWU)*JS{vozKdcjJ_a-smxIw8mzr7M+@X*cdQF z^IXsUm2+EL!fgr;oXjSSWYUGz3V_J5xMFyPK0^>114RzkOPOYQcc%^DmEGLljE7ZT zJM`h5X#pLTkj3~p*-i`H^^wLbSLb(A*Rtr6l1CQqE0yw_nYNQI7T@diF|#nL^UKSt zXVuK?5j(AvxG2#-VPi6gr5-nCld@PdtqPao!N*!Hr3y93oXJAvD%0tz$wi3lqS_eec|&7hxi+?O+xsb#j|dsw5DNiP8-0}=?~LWsh8XZ5Q#*!xLuQ^K^$uEo&?g;E*%0UU^*mh%q6pog za=VH9B@Rspps0U}%X zqSYag{T99Cz7x#;nTLk9$yq<4@T0TIvw)Mj8v1JMM51pNSxhc#*cMD@KUz6k?sq)6 zmVEq;zS(R~VQpZ(NfGK}XVToA6*@XWf|G>GnwlqISQF=PlYwwTuuD^ev?;2Ur%#$829Zd`p%vK*r(MN_p66aZMH2yOv*GLD7NrW3dkzCV!;iRu5s=p8Z8Y| zvibp$$wKo8T%k>DultB1{)!YIOT;{_pyTxgna?JVF0-=U>AQoY@JXH3!n_0GL{j<0 zQpNkV7uL7F?1_5*x^ZnS4d>CncA7ropmHSc){Dbu6(_;Bo)y;cq<4p0; zjZhR__N1<=S}N4!7aJ7$@vUr5g=2ZLP1Ndo>-GD9ex#37txvNUhZ604n}lOHNemd5 zK{kC}4;S;9N`Yw^}Uvn8R0{Q5$NXdJ-oQYYdwnu`A`k> zdt@8yv6;mxJ4~_HS8c7Rw(;q3CPebtswgk@Y{@aq#;a92mM9DWuP=SP_|y{HZ(Mdq zige6y#|ZXECLUL02I%5pqq6+-k2inJ$96D>OaW#R7|5d3fGCRw)+#MV#Y1^a!}x!E zanlQW?+aPHKX_LO*MwEW)g}S^UH2=HbD6OY;0j2Z8<2IB@z|hyp zRgCCHcJxZwf!~#yNC_%AVb=qbzE?FJX1Q66BE>%p@fw&-g7(RPcn};Z%+giB8+4NT z`<<|>9C`cfJEz#JN{OogIM*yd5nGeaA=JxdtO6f#vsQq$WIrtG#3s|(BEf~7ScLFb zk}IDKPSxGw`wBkLR>rcCOoI230xeJsS7C`!)iG^)^g*L=XpmAz<4}cg*V@75%#R@E zdNq93oW~TaBZh@n^KZ+bm&i&(1byLT#s1sZh#mjTQ(-37C=d*}82M59n_#J8)P?Be z+a3(GBh85}XbIPajw_Pme#J++DWt|%bTF8jGOE+u& z(b1F>7+`p8MClspL-DtmKHH;i8(BbYBjUb)Fk8z_K^iDe8M;D;P!x}V1e%c!v)8hn z4;W|Uvqqq-8z|37&~Zx?Cs)VtOBx zf%-#CJms+Kqj6 zQ#&tJrl(6=-LOX&QyYJDVW;MQ()#0M>XuIpkcQp9>d#1CCU`024w(#<_Z9PSQcdYM zywGb7lLBF5llo2ErY8#`ZCrAX)+>eF`=-0d@-6JwDI4NHdS=PQnKsfo zX#1U}cnOE|0qeDosj}=>3o-~RoS0ma-mDL|ZrzFpPyNcU%(bSHfdYSy%q3vNJ`nXp zOgWcIS=HecDWgVNeFoi(3{8qkL8^4bb-5wujoARYIHQ-RSXC&6t{~d7wRZ+6`NAD< z=iT3a6~>YP=>`GA=N52?oZAk3v37RnMNd$=U>*U}N^2mr=bb1qF7a*)(D6)Xv#i1W zveuqf=PPi_{lMs>5d{6lGl>)x2qW6~7

    pELBcldH57>qxctwfz(hnmmb$W@LGViH*UCG`4TLk;PxtUI%7Dq;XHPls;01KM> zR^hDD{1XFF`M>wEWC=tMk0+0`uR}6lm^CCurR0H?8?}lO#eUUHg*Nj+Tk*{wv%UI1Kxj*$t(( z=`=vKAX)9PFd)-_%hIHDQQ~yIo%Vcf>6rmG-*5qZbsAi@dR&xk4~3DhfA|SwP#>68 zEGrIIUFKe0UNo4a@5D&p!ZV^duliOp`vT8LaDDQ8D9Sn&PZVA`2^{RXdWh$2$UK|j z*m}bL4!QT!3b!ktg9lc8N{dmnGoqf;`II2~YnU{HH1B>y}ECcbCJqUY_M%@Uu+ERmer@or~R zV>M<9pFU?Ha;5NQOEgVze-5{Hj?lzNNH4xoLCqPTQ+G;_m%^t+(0$XMtY=$tO#o+U zk@-Ww#(81!z@3BH}Ef_WY#lXP{+zK9Wl0} zQ;*qDbYgFYwhx@RxX;4?^ntN1atV;kHG+7<`w$1sPjUCkHqB70S**g+-d(VfyxyLT zL6<(r<(k)MyXE=jtqvaMnre-8uKb*BOEz5ztr@Owq@8rHu>L-raf@Ae$LC>7*i~>0 z4C0$B?}+l&-I=Q}kwKY$UhppVwc=qKLwk;15af)qKRV|@*bzOb_yw$L6=&9sEvxFI zdMamZx24x$Y_p+m+u1Vk=H$fNl@e`f;XwhyfTGX>b*2tPi%c3%lsyJ;A6+1Y$BKp; z!5H^ouVZM;^-(V?g=~T%{y38`vDV(B2hZ+!@sV2Q!u|JxzAZrba3VH@vV?DvUra6$ zCgV0DyUV#Oh*87n^G5E`!|^oXC`-)uuOG#5%$=Ba2t`tFNUH%cP_beY6_S!D&Kb^` z(vOz5vtqlr5gCY@d!!~>spnBssouh};TSYcRTr7Kf|_mAz@Q%aIXxMGx=H)fg^fxJ zHiw#oMd7}=FJ0(1!A)}`=};V_Wm?@&?Wdg!)k60rpiBu!pJRbCWzxZC%ZX9CPiw`x za>9pBh)raO?_+1ihCMHzCc4C#{kzBQ7UKGjD$sb2mL~frn$oGcfC7)^BGu-ue;+L%L=xva@oc^N(`J4xwhL&KoHVvi z7v4H{v~}i3M@H}ZJ`qY?wUpm$6-_df)Q_CGn%pWf8CdivCA3F}D!B3`00b)jwrZh# zasw+}?0KWN)`_xh-Sun=P*sjStJFm{x=Qvd4pSB$c z??Kn39XZz**>B<8mL4f6XY-q}{tGURS^B2&qfF%(XPkaX|c=*pV6OgedngI34S@ctb}Fxi}R4#zd)zIB1h7(7{3Dn7<(2| z&uylRb~F7yzwIV_YoePx?E{`dE@y`j}Hn(4iH<%;o+P~;BQBG@f34CfP_f7j&@M)(I zU)kM`nmSecPJy*C8_q|>YO;aY!W z@hGohVAYP;DzQY9w&~2h&*yn^xz~LwfB4Si+sLjRIV}AfVF)!Rp4=rlK#+tA(}(WG z9cscv^ihbo!e8Ls*sj`2ifl1+wbA+dWjtR>}|DS({-XKdH7*(+n?F@XGo(* zjfdg7mDjKcyt(@}LrD2b&2nxhixj?F@~JRP1k7MM#jarji0EaN{Lk1rZ4K9W4P3njMTF5pe6o0KP+ABiVycbKr>xjMLH4Gi z44V71QxoL;*3$vfQT)nFa`%JT)ISX=8=d^Lcjscfpb?`oa{dC))R`z<9q-)Iydu2s z&p|U_>_)y9cKIOCnyP`EMLQn{#!>+=pY;}m=X=;y@Xu*bw;j}NK9+0?&M$vtyRt%C zotLz$pC9PX?XQN6F`>MC085_lcGnhCx8%)@s_im4aVW5*!>&q!Wf}{>@P!RsFF+CB z0KRWj5M!Uz(b!5#NlD!jjM|Av3u}?IiaemKd(E_Kl^wtE7|hLKG2PaI^1b#-BsL`x zy@nV++{@Fuqnz{TMN=f75-Iidhc`iI>r?`K>yAQUK4NPP;VMI@CYY7oNI6pZj?(f! zP|Q?gMl91C!h~EZ+obH8xqDvOT&Lx;k+yo!1_zV?3n#5ETkzecG%ZjhYyuE5z+w@h zVSBcFu{;w7_;(!UI{JZPQ4>_REMO*l?Hkk8xl8$V58}j+jAF{69_Uqa*MJ?oNa1C7 z8&tk{yEjA?jq|V_EdXe6rp&Nz6o&Cks64lE_5r7f{Xh~ajSSqmSng8pZTjaMbg?y8 z_cl_St66s`#M+Xe{7I|qU?*(=pfCX>YnbMD(Gd0u7ISU|&allFbeKbl&uKj^&kO!l z>Z9!|Q)H>&DttZCE%QeDj@EiiHoW)Q**+9)gb6Uo1xew#0V*y%uX&iV&ZB)@rh+O9 zv@`8cvx_#lA-Ke z-y;cM80Ct8^XJ9 z1mV|`d}6%IS{eH9Enr0q%p0H&DCQ!DdieggsotEp&8qFyZ5_xfRxT4j70CI#gYyx4a@UXm>A9dn z&q4FtCLuSMa}78HtO!Ji42Jtv`oUJL-BP`4@d+P0_*meWC;vJhf}*-Cmwg7;y;|@Prgc!IvhXyriiqfCA0Vj2&m~` z&w0)M3dSZj!ca(n<_^DwIP|Nc1ZZTwfIW2AdiOj3e)*xL57FD5&q8>d{Ie?YR|O?? z20F*@t|r)gDNyF0gD3ZH4pR;I%4g^tvVpifkWIbxGdKv1L4lDPA@N3WCo=QfUZRU| za95fu)jM|+fUw};@0j}_uR9H0n9InLGU+=9*+w8J&m~jk=P9s&v7JQ*mW;#fSFRO@ z>69d$xuFWZdH&roS{`o6b6U#kongi`mg0NQq2TlTBlRCc$+ZBg{(8`nje}RAo0?@k z!#x<7=yeQ`wp#$VTo3}qe0+X>C#8oKw0KUhp5JBGCH#}9n6_z~gMRPMm7UDL_w_V= zex5O7G=}RsAVqzE>+plEHz)YirYL5F354Sppk5n?{DNm;6@%_Gv0Yf(&xYe8--1T%65Mx$kuDiUjTWe&AW9hW!+Sa;cS};;|`ycj!_2BX~u# zk&8`3v@po7&t(ko>X^a{!7z==JE!!K%9leyEbw4OTx57&I`Lo`~A9z-tECaWV2#Mxv~5w#+fz3&6dpl?PuArfNT?(e@Ba zC+C+Ut&7+-=TnL0etv!j%dQ!9N?P@9#xt0fRep<=)WV$A-#X*}>&KB>(>QZ-HYsK| z{D*kz10y@5mFuJ9k|xCOFd{#|#h`1FTrF2e>Vjs_=Co3kpVr5hV(a5F9Fd2mOmEB6 z9MG8UV7HFYoOv?dJieYh+OSlkG=NEr%!`VzO_-+@avnI$w;-|gsMqkAH3N3f#LPa= zQXi8B&xHXDT(_fhr2iQup4t_s&BEbI*^qIyh<-Vn_UDFa=wT*Jv|Lobls8KQ^y40U znpYe3-dGOkMDsNiU;0==0}WjtbjjU@G5hShKI9fVm%Z@2gBMcW?&8jLmi)df^8xyq z#M9)RhvuRC+1ZOTci9NX&$ntuRRSFpT-M2YX49n;-$PP%{)n`Tso8ey?YZN8jz1p9 zTkG5p`MGz<*}V?3;ju3t-1^AJOJx%&%7W3Iw(ofH^*n49x23c_FY%7HTP`<#DQ*X1 zQB4Ns$}%^safS(K#>p(P4@=GQx2+m*LDRkwE;&*IV^18m)#yA+CTKPJ=CodN-4%

    isGyft zEBUc$T__NZlZ>!N3s5Gp=@N#dl)cWGFYd3t`T^mm%uD8j(DqtOu0h*5W_I?Y@*hE* z#|$WGaJX5i6!blGXUf1Z4QVx(&(~6&Yyc*W?<9SCjNi;jIp@974-QMbP~m2F!uw) zJYpe&k>n=xU6+}`)1G`+rixB4z5#PeOP0GRd`A9BXDhRo{QkZ_TYeuPf*qa^Gus)! zgz1f3f7G@#lBJL`pdiu?N4nV)e}HoPoD0l>5Oa^R1B3RO40Nl;ESSmMf7#ywS-NSS zzSgdsjlOQL+R+Khh-tzt&|P@w8@<)1uWR`b&p-}+rDSa)TrAk_0!?=&SiLMj_v1ks zw_*Dy6}?@in)D@bz>BNBWT$sVb@D>tb9^M$Ls>5CNiLi($-2t+FMs=B;*TCiT4bu^ z8#|K#$TB`%hE1~RJ-ILZ{MS9-EE0}Ik+cYHJI3Ar9=*L5ErvVobq-o2U6;h?Xu%P( zY&n9k-TIrW4#{JI5U){T@*T&azstLCVMwGmRe_}h*08tF2Uz#wsTvv@Z1C(#^No8j zKhj|9jUT_i%N$d91+Grdye?|z(VhxZB59xoI3HVfDJa!L)JOmxl@|6(iFx291sxbm z7S-RkE9HFS0NWheT*jN=NKe)2&1s(7_dFzrG)z18<14ei+?q*)8DMCU*WBAp!;yxQ zsokggyrw%@?tHsqU_d~8K$6g9pHiQIgN}l2*Jq?gn{?GQti@=8l>}A_`-3YWEQ_Lx z>?3d<0-4#37Sx*h27%s)Mf=Xbe^K^S8r12$pf>)beNlSn-&@7tqGMs6KE2U?cP zJs0vM8qtZ+ck^8Q!MpfrYhZ0Cc^UcWYPsYsHH>x;zDKPW9Xk?AS$H#gV;J2cz^Pq( zn8g;hNgaTzyU{|25Ox)FV*47Xy4z%R z0kb%@bz22Mrl3hpa^{Y;IO}2>)uPhnLxxp$gDXXIuTYhwO3Kv+ zcD87;C&9Y;Hdv-q2qMOsz-Foq;D)er>0|O6TKNuu#R)UqhurR*-D~GEtQ~)Aen09v zc6N60U#GIlXRDUF>8QhnP(JywPhX7lv9aSGS|kh+O^JU|@Kx1N4`!?CS0~jN*HM{M zlpVmmP>l>7kuDPG&AFv?FTa0*CO8fNapO8x!6MY)!kRkH>)Q0f zR_)g&9KRxTMA8KH)k=OwH0rBi&^2~V)q<-=s)ggIQSZ{t8{UnLXNNU3V0+@mnK;0B z7}F}az*3?UR)eSYBjmIY@@kvN1CbXe30A$Z#Q~@V)ap9YxPcS6gbnDjuL!RdwCVx} zDn_hUxI^RE3F^C&D^v8FMLe zG@2RGRZrM~%#vaY=wU2QuF{{2&8eA&e-bAc-}Kg<*FEf-x!K_ZhTXBYqG`(H%+hL@ zmSJF@HUJ|zmZb60dDzQajJFPZU7Fg6trWugR}xR*Tm=1XZh|i-C&NBS-FNa$nFJyuv`aGWz|)xsyW0RnKFe0cnHVE zwCU7!p#<$#;jagEqI9p_>^Cc)7heNIS+dyY56h;DI|b~QND5Ds5EQa|_MM}E`quK^ z!5t_TfGOuryee?J%Qpko4o1>URLY+W50>IH%g#l{qwXk}>@1L=+K@!*zBAN3gqxAw zDdZ6S-AS_1!XLf#@ElMiBSmiH?6(=hRwO-H4&0byZuh8n?ppL@Z-q_JWZ2OTpE9VA zA*m`-L<~WYcU~Y1n%!!!ade}zh_+4|K@k=YB32{%Oa!GkbTNKF zv3U8Xw)7!S*%+&CRYR&}3By1eKB~W-pdSNLuODJ77GCn*1-9KSK^BKvU3fP^zQ3@K z^3hehy63O{?JXlD!gzO8UAyGodTxD;ZemV9!U<0Q=hgbF-lRTXqB?9H%~p`tLWm<}BP`3u*}! zg14oH1(2v32NOerH0iHY=f6Ll1SBe5xccDV?)=W;4Lr$}=nKz^dj@+2{aU>8Jg%~} zg$=!9d5oqlf4yh~&lp}l;p0eq=YWJO<-gp;&#;7T$uhys5So91?OuL<$MI|avVzRA z{PWNMo^*|neX-BJ?sGn4=SjMboP3o5@8a*XG|yzJrTZh->~=A10p||QT;()n_fkAg z2nyUS-g}rsrMS-L^IvP`A5WR&GC-maIc;`+@lG7!KYtYSm}rvz@_@F)7{NwFkZt~Y z1p7__%6R28-+!OSKYt$1uWRI>6SV7dVPI#m$LeKU@X(6t@7;CB$*Leg%v0Sbgj2}G zcPyxnpK2?2eF+g0ETKKLS8wbDwq0*Az!D0ae%$fkf36MJ1~#}QxOqik4oZmfnc*s-gemLk&bQFl zZh*;pH-qD(&CBOs@^8%Kxq8fWB>8#)T?!rTSWv@7Pf+>&{r=p%1ov1HgRrb3T>w+c zWS|jre2{;B4s7d#k?QaakI7^hdwAe~DW*1qMds1^KOGBexS0O`9GnCLVw%r?5JwT! z?Kqf320%Mm5-N-_aPbQOR>SL|z#`};mH;}Y3o{_v!PTCu;OB5Ac8XG=!B#cahmw2M}V2tNfZq@L<8$_fYw&{0sV?Dtb>ogvs}UY}%I!GHKveS)yw`+}r2 z|Bdw3h|2q~NN@L!b+Y`Ky;4jfY_9bHzX*i4Li@Mm$B3sGAF*u2^|R)cYl+~?)WlU4 zeFUN4=SJF1geu#T8l7D;^Xwu!wR7ReFzxf$vd?BBJ?_0Tb^#aTZo<7H!JDHn=t*lf zW07<^!fnd00xi!s*3j74q1#eC>&af3yc{ z(Iyu_Dq?M8{^kw_TZsr!FTxsf>aM_z5YxRnq(bpSw9uV zMB1C#k{R_uWp~^=3&LkR$VCi$v)`GvczCXv-L84{fN-!ndDK&%?&N!ljRaF}H@Z3is}v1KD?eRFZ0|Bi1!Zifq)sUk*b(+=>(%p0FWxms#_CSRr24w6LoI@zVIwcR!b1O0R5HE^P_c6+?xHt zhCdWFi4yAL>#lr5&2%|*C0JbdSJKe0WQua=8b75JvR*ztf2o7TrE+w^=_&}jyi_rNOc1uR8Ji4WJW9!rlRJNI; z3;2l6;`WktQ`J(=*r8JeaX~m~>^H}v!Hl2D{ohQA7E4qQWBAwknJsvIbu&jT^R(2> zh=3_@5nSv&__sF~bHR5qpkdiw9G6Ci^kpprq>?g`ks80B>;ucn(|k7RIKed|Pkmtm z*`I6gzDIa^7{(bm8ELknQ}x6d0HyKQj8WORIT=#dG*p6W$Jy&A{SGXCQxBAU)$1fdIcwf5=sQ#B>v$<6HLM4KkxAy#uQJvvzvh$3Mc^}` zsyw;nc}^E4qvAfi(wV8Qy2S25uB)asno}f{V)4Q>E_!QuD<4!c&bfM#5_3K+R_>17 zFWh@`fX5H~x_G9Rvs*V%sq6`HUM!LRTgw4#nruY~pu1A`bi{d92cNL*?tKZ7QgO6Z z0S0d&wzftk*1w=2&Y^h}duMf~PuuEeU|?XMl4|4nw$$wB4&!2o`q$fAvS8}j&B~wa z#%XLqhhQeaVpC8{;gkI}`*-e7ukO6pY*9SbWvm}lA=;{ZGjSHPDP?aqCx3`j&CBLT zNIkVtrz7oH+mJ|d)%Q+dV|SkwYc3(J+FZD;Twz~8&1?CoxAIZV!9Q7z%#m6UV2)95 z?~L}satCxuhZ^%M$gV7@;6bi-EDwEG!lnd~GUb zj@r6OUhk|HLjcHqAc7@wnD*A!8Lj_lqDI-m75UirZ7k#U2WXOQxv>7E zbSMx6C__Il#~u*Kg{2NzDvCtCO2?uaFE@#ucR@Jj&Avq0XftoGSfTx0Z)Nk{TBX4W zCj;Rgf2&y47Uu+wYD3r1?3yT5Qo{amzZJvkQvRf(R~ z_0l}K>Ocb4UFME$aQyub2t%q3kH0)chL|em!`KncTez4K5s4>l#++QN53+?T zL6Na&*zJquHIU(YCt3tE4|*ucfyR(n9^cF=mFjP>N+M?^bQvay@=7Pe%_@M>}5 zZlL9U+U&qUtB>yv%J!QH|MUWI*4a_dZwvZ4Rh9yHuul4cnpEEQ`}%ldbTtgym|_fn zD=`Ze7w6#xxyD9cAbQum1W{gj&8`_V0-UG|;6x=Bp^mkcT#1#&*qvW4?sZo=a$m`s zj?bY$qUFHGm3&lHyhgf2AZN|Q$zbQN4~1l_Ye&-=`-_*p4JJ=?w(~&W!y08}t|nF0 zYLUhz?Sx_s7to_=xZX6_u=0SDhOrsnMGHK|;cIbW!yM9TC?&P!Y3Eznx1X^0_s=EC zJ2*R}*lQ4%@C{aG_2;Sz0F%q6@k~9+N%qJ>Ur5TmEowBzC2_8ArKM9^_fvuTXzunG z2~BgYmt;kCrzfb}dHZIzC2mbSxK>nPbc+_dL+fVkKwng8F19?Bkb~#2#6%};3vpI` zw>8#e>n^F7u=;eMLY3Krd}6?cR#Sjhu44H4YZgq4X2-xUU|;Z5^>R!pzWmw5cHUB$ zE&|oM$2qKivz)J?@U$VF-kwL4IH!3`LiC-5sAh!L`4^kG?hE>E&X~9O&lUD+69Vd% zjBi3ntE;xR=ENm}G{{O5KuH>(-pw~@MHz_9!(+yy=RXZG9~(P#%VFpW&2y3d-jw@{ zqe}6BzHr-g`6zLX$FZ*CyXg%fR*2;4H{tVp*hehaUSuk%V`PdK78X8_+zXJ_bhN9{ zoy%`}g+K3>7iBV<>#{Z*hxJm9u$Usn@}5y@$JiqZIUICHs-AkJ`bgJFjjp8L<{Oz| zX3pXjs06tewx6z+r2+H7s;xz@eP{^J*IR(2v9 zt}{de|G+0NW|dZH0o^Us?L3HXBXXyhyJ^A z-!n%ky;<@{uy>Po4{16r2NtNkGR=9WPtdA3s1ie#MZD~;0S3Q011zUsm% zpZh1E@HG#{1G}%=lI;{If{hfkNngaV9L!-=6y2#m`OWp&Nv2M`NX1I$JKN??;8da8 z7IVN1llkKcp88qe#o10Y$gbxqHDLclsBb~+nrtg{$@X1=bA?Z8Y6vi*SDN%$qFz6t zyG@R3eb;x@4n#(^>aP$bVdzKJ@Z8NAa0#H&et`NzhUKC0J>fPg*vDxo3;?Hu#wd$$ zjm;?{P1q2)Cb|x1i-+2UYOEb5)%;T>_1=pupz zA&OKqiTF4IfFd~xkR5qb&j~cP9m?*I6&gIFIDrVY0b8`6=sA+6n2}oufbD}@w{K_Q zL{3>f+Ca2jVZ(^ltGSmqWjvfBw$x<%g|T3NY|a~kynEpQ`NDEcA8(Sx9h_5!V)L-B zHMG~$@thkpuS9$+ou0^59Jcl$U-DjNzkOcn&>nBw82RBGPNO`+0t@lzx_~2 z^Le^NXkU02OOE#e$?VSKS?YJ7QMIMAzS=xle@&vksP zXxw%GO5RB#48n%7w+;U}^`X0jxuKz93~WN&VWQRfT=4P0Wpbh?nj);ojA~Hz<-Bvx zH3o*PI_{ht$;oOhqiWWPcBxjwtAQ|KGXk))vYBhCkq9D=ceTGJbO4AgB zV)}!#aO3=74jEg*M|wKbHej?^#G0SI86$V5TGd2E z9n0h*G)Sh2Jh&oZa7eA=b1d_uG%~kga`@?<-*v!Us&?=hR?a{c#oti79o6^_5R8?s zoXeWP*ja#a1XQ}l5?_IQ%8t;GjMcHc&|Ky>?ziqy*JmYGZ`D*Z*vO9z1NVlrLhEh5 z{4VceBeU(568cW3QFvp|8puN4FR*_nrHV<%wO!d<_waTcy2BUcm-F;o!`;t4ZYyQm zxwG_F`M%}y#;=gx7_0&t|Jp%UjHV5Kc^>5FUTY-W(LX0wKuRK0a-MzIw5?cjM;S){ zhR*fUTCyTvn&9U5j{&LHpPPZzRa2~eMc1wI1dWfdyVM#Ci&N1`8JePgd|L4Lz_Vod_ zE6a~$M-kOy(~Kpsjpaie&Se%p2+Spf95%Cr-)SBV6RPZ-*mruO6>>uArB4R^g&C8d zIYBJ?7T9o&z~EAIcWUQ7x?C5#GIiw_K?sKVDCk!9KO*{XA^a=D9#f-d2Yt=sOEBq6 z(r~6~v$0ANLejnN1cz7(c@)KmaP!JgzdJ4`L({Bw5}LE4QN$x4&;@P~hO5@5TeAjs ziXNl1pRtR;43?o90>RUzLq8p&K3GYy??u{y2!%Np8RutJWt>?e4vFDq)Zv$;Eb9<= z;t$u@BmCu@l0X^>)q!a(njJxvMBdExMip&-%hX97AI^=(FSI6ZpXRlUpF1I$6<+tB zoY6TymFC&{M@5=QiTi@sSfPA?o6t@LB3T);A7j?B%%T@f^PD6vMb>eAwrINR*d4xX zCcn}8X#M=?716f+M?N(wyVrVKVi>aQ%SVoQ49vEX;a>Xyh+DqL+O>(kHv8dmZU3TY2h5wa1fiNhG@?owU8G2td$V_ zaz$gBsa{l!FXqXzfa-ABV&uYB*rH`OFR}G2Q7(pYZk!{K{1$ucGDG&u@lS6k2H+xT z&*LHj?SH=;5iQ_My@bBmV(QSo?Hh7UsIRB4V8+^v&(}P2_)z&sLydzgs5-DX(9X*` zZ`F)4Mms(#5ZfN5yBfO4(z}WWy~dVddgD%=p)&Z$%+qCo(D2nyUVrEJ_(*5D8e0&x z*2AEl1=VO4}&2o4|VG$RF~>fMA~6OftyZCh!S5A1ikf|DbW3LeWS2_2|9lT zAT@JluAe^hML`J!aOY;}t-Ae9)z;5=ik;eJ*d_dHKTeM9>%vqY74&x_5zi%*nO#Zv)T5- zM)CS+mkfE)+s=H`66uweyBSLTrgWuz(wCu2xkcLxrRp5f$|9Gh1(G^eP2_sE+hyt~ zd2DFdW5oKT5@|6lr)QtG_uLiqkK%*wXFqM1Z%}naKk#oj47Vkb7U>_PB@do(-Ob^a z15Mn#_T^um9lB?P1(2-)EhGzUxLcJ9ed!*|rzn-8e)CI92!oVmY#mCa=1Z&u* zG)3^<2j|LT%FXL~Le85{5KUo(^ZHcg_%w~D)A|y}#4YI_UW0EDS%o3Xgc|!mQDmRN zcctmmT-aI|oMW$m8cu(f0w-3f@Y?jlPtmTd%Jl~9y}xIcHx7)Aliu+DflOlKUmNpR z{Eh%1^r8uqKB(u30?4e&*hsY!nRR0(nnJN{t5^4FhVDCLS)09rhf7s;Yk|riLwD@L zGT0v@_3-8;6UfwZVGy%+NC*&BJTR=3SH=2*Vyyk?cEawL+=b6-9xVj&3QBVQ_5%3h zC;}{|m$9hQDyP|m2!qfZjJ}8xXgX)uS`Nwu+Mt`;2jB9 z?_1~=c>-wU6p_5p|uR4!VLoU1KLs!i*5I~%j$bi_1<{{Xon<;SW}QDNZlaBBnmP}Q97 zmx|~eX*y|2yzPbcE!T9X5Sfj^=TZi@nMiC18X)OJ3p}5a#nWvory|Yt0AUZ|kd5wn z?i(gsC+!Sm(3|W`&96nQDO<^_`VAv$p9g6jg0qHRGuLQf zXJ39cfiQ6`EaD^GQLa3@I;iw6duyBp5U(~U2E6x_Kbe12GL;zK{)inBC=LA*C{0!) z3QIt83T#wClQbz$HRUJcsugW}S0XAW37QzRzc&(W$quf)D3Styb6~qF7fAA*(sbFf z*4&tmIJ&)JzOA=8MVcfNxllm2n;boI41vm#iCeTTn-;&z@*Ny@*>*x;Bz2Agw2aH7 zQ6e7Tw{f8gNs6npJx9$lq45>L9b?m+%Cmb`Th%ML>Qw9nvnb{A}<^aQR^ zR01r9aHuDbs&Y>ax?%W!G?lLdD9_&T`%(UfTYW{LjZheJQzWFPH-#jMN(@?Dq@8sK1oiqLawAbW1S773jVrf^(WxbR*!K9{;lQwO8iSlhAV{a$PRtduFV||bb>~4 z2_#Q%0p@-nHu(7Ck=UG)gzMN5#iRJ0bqqZ(XizTV9*`Z_amsM=!mcD&p)iWFpJpxr z_XXWqY=PzG4-1%N>@$xuxdCI7z4*3JR+C=_0=gEZu(vT+ ztba(RO_V2oLZYoKL@AV{?2?F#6hgOAA(WK8 z6CyM74k1(;Rv{^Sm%TS>*fV>V?Y@n|ZI9>r=yba8&iQ@M^ZfUmzvz5?#(P}vYrI~s ztJUY+AHW6i_t&1{;NSB5&6{P$7V5SD15`c|H$}+AS0_&|gHVnUFby(+ z&)O{8Cl6{4FiO|sEaC8u|Fn9nF&6bt1%-!4*!Av=O8fIeH${P6=9xs6r)%&MP7mp zmHFihb1vU`1I^c%8@Jk}yGo)KKFV(~`qKx3&|n zkpXb{PD7}$>)>2a0#q+%Az-P2?dCGVPEGLi`w|;~eyNK<3E+S0HX=^s@knlw!5yF& z%h0`=2lP3`V?lR>?u^L|i!$((yc@)I$`E?##`0JkREOIaz=TxYP6#^=UTp3^L4}tQ zP@$vtV*=gQfpnL=LH91zeMwy+XY# z5c#|S&Pr9465wfp`;&zzdvtsK1DFf^pI3E5=aumXR?(4o_KW0Q5D3^E=7=OzuD4Dx zK6vd0Ez?i*AX0yg=jOa$%~4o(rb`0H^vw$|cKknw?NhxUMqH!P(*%DeB5igL$9aAS zU@lFzyu7?pI}&Z5XoQ1nJ#cL0q8AN<;mO$mRCD%A4X8sPgfh0Nfe_vjwR@8*YE>4j z4u79L?ls(i#uyRX$R<$Cd2z%)nBoIu?d702uSD!H-5WBy2CaYm!72*?0hjq0O19;zg%Ru60}swGY8;DE7wKvhm*x$AyTu@r=U|+Q+ zwiSbr?Ck2mrmoY%q()RXg33eE$W;iM5bEVuyHXjwD8<*(y$_u_YJ|G_Yooc>oJ8mg z-u0W~y-zo1YVxTM!~b$81Mr_WRRCdQDZs)x&aj*@K=$2ugj(U?Q!YaYau6>`1ClI& z(|FvV73BtT=X|#h4u5`Ni|;~^p5I6xfB*GlWI;xb6Yp=49G6iYqeaMqKH^|K2w?*( ziVQHE2P>^(3DC#>d)z%REOxA-4wJ9UL2U`4-NDii0$07z$bcY+0^Zbf1gUID8aN6+ zA0^q6OVGxXOMvy0O!QEsULK6*Ou-ma$SH$I_F|wQ(0E9sRr8yH{&-W=Y=Zc@EWqfD zhAms-eVVV08>nUey*Gb;>aZ-}4$qYVpTk_Buq}?oJ zSudLjl?2>@UdI*158CAjfh8uyyK%uGQnuTUnvwxJRq{H1vK{)=#7P95T$KN0328^^ zhi8%Aa{7#1_(Kcl*i(6Up+S-G?49^Wu??4ho+#PJGjl*O$ppbI$H6D;oCmUiAhH{) zP5^g=aryVb*F%C3An0>|&lLm|m4e)+P@$&Y#N{OA>U$SrY{hNe<}$$B7(GhhJi#h( z1dJgc<+$<_eA7loOjXs(N*l@Ntojp(9L?xt>9$ZjnyDo=CUQEh!vKT?N(3_qOgGpW zQdk+I+d?=AKHHs&D5Fm@@l@a4A)i?<@iobpJUVnoFK!mS1Op5`(AH)o8a${HRk@2= zTFt~!S0`m>v~e|NjkIl*T<-ZD5RO!kbFO}L7>IKAY^=$4>X$iHSj_pY+Bv}?F|DJHq4p0&od zXrV9WwBTHom0QFqzgv&_dBka)go{EPgT_=Iskw?{OKR%S+O9XR2Fv(a`3uH!$>$aL zI7MOSE3JVUHsd2JoadQ;H_S`2=FTXN^K_NtH@$bIPUEwy zyGqo=VI?g$7UxV{clVOsa#n_f(UG}mLmeL&?n<)fo{ z2`1$)>P1cdhYABLH^`v(NQL3a+w7JK+ecz%Pdrv1lWC*5GX%^%$!hx;%oZAj|?oK5opS-`1 z2Y;I>bGoaGlBr}~jSxdn?2dqxF?h%bYG7+C9c8{b6ubYh`riRS9qGnpbM(e;&}ymG zwsTn<*N#`UeyIN&!YaYy-YH5ZKsS}o#l;l>phm8IV4BoGx+i5!B=(CGt&SmTQL{-e z3KJ#-{osSaXQ)OTH3T06O*QJxXxnM?-vg?LGdoiEp#Y6q{!~H%K-`WZ`os>1_9Vgt zZlB{L*B|^c*EOS~qH7^f>m1)%T+=FgJi3roddL<@1=0mn98`f?(+K9rV+_SP<4|Bm zB;NQ|M?LQdbwTeV6!q(fAHPB?Rbv;LO(AqaXCV8w(hy23Sb$O3<|4fBqWIPG8}vYg zP?DK(c*fb)!wf%*^3=>VFa>wDgC>jZsaYA9t9_8FFdV^*xkC9+sitL4rZI-&`YVGt z>)ZEki9i^PxP%DR;<7fx$8)HY~s2<;jO#ZyU{x)in)B*LYVjZu8o6Jhz57b*&mkoeS| zWWCf=@A6{43U}j$@6HTDJG;s19{|ak$S}ykJYD`*u>32cu7=M;Xz}_np|rzFuVm5+ zi`$FZXpW`zY*=CkIZi)?RQD`!Y7!#suLTENgdy|>>kg18z`m|b*=vc_M*H4~8z?*z zF;Kkk!H9-h>nUPxUXu-TZX2)#rTN&_*`ZX{o`quqJkHLOwbq~Lr9!R+>RTBr*Iug_ zQGJUNQR-wePY&T@{vtDXDZe$} z8(;Frx%ua>%D1+#`#bOb#_rec|0DDC8@rGH1ePx3Btp`$7dHv&JYbiDkfWl;zW8Id zAcmQ`XNSXhU$#P7HekE(`s3v zm;EepXB&eq8xi+Ss~R`)PcDc3I6l&=V5%*P%9~>hUJtFgrQwGT9Lt?sYkoD4V>V*! z%5Je>*0tS?8MHU=^^JQIlRC%wk;{#z9qULtg3Z#*dD_QsiM44KbY`@)r~?7EnIBi> zv>&=!s-2^rGA1TSioyHCC`p79BY;A)dI7Wc0{|>zoWFMIz*Kd-_vH*DrFg$l)vCc{ z_P5rzzj{$Jr&75obIr?t1)F$LCDcq90LA-$VbSI~o!YdLRJng*#vb}q_HV>i(B%5K zE_5umBsPeqtzbIRcvph6l|goY>!LA5$j|&XX4n%trP`KB&~?dhQ}6rJB2X&VeKT7q zR@0aSkTukC*r-qWQ|*2n`_ZdlNBRw+OF=p;^Bw?audAvaUtOFD21lbBVeleIs%#J` z3KQztI^^~r+j7>L?*W3-+p+5Bhr{e4jE5TQ(9=1yfZ7hpB<{D|j6*YwB#?9HxGdyn za{@iv-ur7-2$>#iDSiTTb>9k&jQNDZ67a6QQX zl2hN9Yd3}N5!Z1o3hpVDY%ge|Hd?mK$Zwl?**GI&TzoBfMu;Ns-a@Ahqgvt0?jt-x zS8a6)b3+_^nWm;3dYBw^a;+WPum}&W1XG_aHel^23_AvAS21cd*(R8_HtJM1@@Cod z+-S0=B7GX83*yC|)X4m_B=s3k0@HL!qhZkFU~L**767u-MWaZogpo(|mj1h_k2hT# z=lmo`;IgwEM*Qxfvj=V-0I%@znMr7vAP1SUWd0mhB(6aWt?RV$4^zK>fv<}clxh55 zK8K$WOykF;x+hLQZeH5rH-lg`VersUpn~aZa%#Eq7x&EW zM}An|#O#}%!E<@IVo}K9XsC?KxaisSUx{C50Tm-k9fwy$c8{AOry74CYV+!s4u=CL z>V${Sl{)Fl*yp){@_a_)gwVqgiO}VFY)7MJF7LP`@az&1fZReG z%}YN(q$069f?5H^DOQ+S2^l}0 z(xsctGR8JVBThgom_>NS4atWiu-v5(4A;H#`^8fGwM7aLAr+y9RsvK4nIS6`mMW%f zr7aDS*iE%A08MCUhg>j<%ewAG=K^Jv5vZHY2ZWs?y9DJHe$GEO-j;EufmkWoZWQfNOYl>Z83I0g(=D z+OPs_>s}2d!t9d255nqE0IgL8kP&*cdHIAJ$bv|RL7a3&qmeK(u+6;}iK|7iHR?+18E9kk1p>0)fuwD$2{hQ} zaXMrdxu|*=A3!7VL@GqB%Lw#(0XgDV<>xvd6FB9z+B0xH{LNKpRLBil*#)VPgo^&y zcD4ml>g2U0Ui+Anbq!0Paf3{U3{1ybz7iL~2T)yvTb|F;d**;?l?BaQZG$(U@QYmm zl50V#keb7IQ@M6F6QW`JhngJ(aaxePv&CMqAUNYC1c@^2s4ROHHoJ)G9!e%(jC+IZwhH1wkiYfWi`a#h<+Y(dqz8 z&^~k3c(OZ3KHPQX_JC3U*a0Us(=V}4&@WYVn=juYbi>FDkHQEaubU*y{v=*v3EKGq zs=PELG_ANXa^7MVAe3-vmcdlo)SO5-P>*iB3o5#O0qu7o8hbi=Y6pIB3Q-+B3`&;u zEndPwVIz7Aofshy=ZGJv4W_McISf>PT$o$;?Sv--593N^k-A4thi(>onA%iLAOUC) zZn~8Zwl+>9yeWgbG94Kl7U~B+B0we(xZ!zK=CbMl-7TDVk9JWbIa3s7)d_(IAZ+-T zxXG?86QrY<(Ky-W&a6;O2akzEG;fAxU z1cL(h91&me6LrRibVAu~cWk@FUC2s5>pwEih@_StZ;;bN>QpuTE~GHp89gac^Zvz9 zts<$Nd;*SD)fJ&W!>hBuMOcf$kQ7gL?GQk7ZLt zC}=$GN}s3TZcN`JNgvO`X>{ovqwwHk*4{U#2u~Xpe^2DTky-MD_kAQ`y7vLyM=&IY z&>+W$p#cOxxbym*%$ip~b)V<;Sa>tUN(eD{D*W?Vf{lG&!WYReJZ?6VNV^_h}M9jrl?9#t}fYaUj?!RckK| zUPT-r%cN>c7jn|7k&YqIPT0Je|Idv&%mo{@bYqf{V55=kH(|(Tsb03|&VG)xxj^`} z8u@pkiUBJ4C0dF+Nk2__G0K4fB#d4_R{=Q?tTcRoe|x*_?y?^~R-Mlr36}>IA4qyh z?%;Yzh|`=V;lIt29rQ-P>^PKAvo^ZsqDwKScjkyTLx%Yb=6LcST9e*%fL*Fd^HC-yzajoGE8N5EN_-NUpo>jLMKvxbesO{`1$?C}{O& zuRg)>hu9fGiV6;@_1(%>Xk&0%QVjS<*bidOy=C#kJLxOExe6$_2;UnXC1C+w?$zJm zYOWC;a6jKd`MCu5=KF+}kDDAC)V6+N(ZeFizg(8;T}_`&Y+eQuaNhoWd6xV4e?X5~ zIz1_30!YI@uamGLvOD!Ul#T7L_mH?R!Ho_+aHpz{VAy``pZDs}sM05ej_8jfBqWE= z5Z`6eqm_>peQ(&}HK08I7xQ|G1uD*-5-NLGGK%sRlCUk^XnrP>IEtYI*I!AOT9@PA_gE$}5qhVnL`i#(in@nC@P=np4HEkp&e zuz|MdYQ3*GDGnO^QF|wxc11U$Y$i6vG4KomfO%Jga5*6*#levQvJ_t+VS->Dr78oM z;K*YuTc5Hr0!LXjCbnn|DIx6*4A!=J5^DEFc3P@*2r-a|Gc%`i@XTEPkZ%A$&Pcg$ z5w^SjHT%CN@V-7wud4bHI7PGQHs>2qW%|I*i{5L6uwH@dstO-Cl&7gNH(iM3K|&-W zAR(0Y%=8v0y*#OLQ{ZdZ-N7gPcH@d&Kmc{=XbT}fc+ww2WMZC0t#sFQr?RfP|2-3Y z%J+AE*v&Z##PR1K!>8WoWO~Y}GQ9t72lVwt7=Oj{U*!3n7tEVQ_t1h0otn1wLty4e zf`G4Hxh~pD1T2h4(K>WSJb_?jC!w80d)QM*F$Ekxed}>4h7YO!LZgJ?b}g%%n>{*m z-!{7+SN}N-f6Ph`GAN2=2s#Ha=UQx&0C_-qc6+3rD_gF&szJoWMHjPA{Q!RHOArM^ zsKT6`NmVfIDUZa8{2{>91!in_bkPpC`55MEzy>%c9Jyvt03eEC(11!8ve(7&T=Z#V zLZ~@l#r;r+mkPlx*vVtCo$#0-e6#!a9pTkpYOo_jTLgI3&<=K*3v4YdgX8dXet@$T zOlH<5Yg|R)0<|4Sf{?!9T}hu@T>uzs2$S6I;3O0+czFdikPa@>>__GeMFb5Ec!#|9 zj-4N8?v06l0W;{aZaNg{Ap7nDEC#8fW4KhM^zGEY*34h8)9rqjCU1C2$CSwE$Z_lBe zbRaoVe7M!@GbkSy58G>%KibERzulsJUQA0eyF*HmvS9dy{5`iijILTGj&2cMwi_FNza6{bm`KQAw@HM`}BbXN;1X*8{DAhjh0$> zkJsIt5a8bK*hj>8ZFCL%8UyIcQO+kKrJ*U4-~!;0Q<_j zkBFZHS)255Bj))b)kOjQxE~oP{4Ml~S7L|$Vf%SNLswNYyG@!Oj*Gg=OVo${F>!h` z+I(zsID!>=tGrOUifR)TwbLx3%!%Ml z(d~yO6*1vezYSd1+Lr?8M4lvJ%^?^wc=IEg77fpU9kp zGIhb@F%_8aqGxtn`(ZPc({ZqmaVds*{nGs5d4~(p6*k~dR+G?b->||IV<_bW#GDTS zbO|saVhe^}5vu0ld~Xu`9eE=c{0yVkMu;TBQULJ50>}=#_>a2m7x{n5DS@b@KW;hZE7{(%A{2~+! zVrS;|g5f$TzV?kW#kdKoDSeuH^n0Lr!OQ`j+S@~s>oH#-MtKH?r=#$%6w9$AO{Pl% zY|pyR-qNnNf1z96n*Tyfp(aUuyG_vsrnr|i-aUPfaM7tNLT#ce^B=fsnsP0)65N|y zNN)yO)ar~qq}5GlQn#`a2h65(tD`-dEemKUN!y!B&)TW3j6HVnd)GIJ5ct~Dlw$;a z3xP~D0d<%{V-jC%pD)0HcWE=_vW#~mOX^^jf@qW<4HRA*BMCYz;AbZ;X>`%2+^Qs! zf9TVQS}Iz%$+Z~U)gp<-rey~(cq{}Ai}e~!Fl*QJ883|w{ z@mTaBVn(;7TuJQMdN}!0AWEj>~58enCUNb+kF2O=QR3EZ!H>k*{P)e%d{jyPb5v%Gj;FZWkQJ{ zFsz0mOSJXeKq>cepG0EgMeU56Qq89)aykw>H_0e`sy1^L)x~#|BMXV6bIesbPQ@{$ z6uCFeIJ!!1&)@tS(}#{nji*WU^>s`_=P=cw2z1#r*lDpx6e}`ZQ`cKv9R{_mO4tx) zy6wJmpq7I`wUT+vvazjaKLTKW%I>q0X%R?f46NYZp-UP?@8Wot?*TfcJ>qJh@WH%2 zN<&{h^3rJa8gK_F7q6ZY;6aJ4?~v2<+=x<{>BLdQowIXEi^|*Mtl4 z#fVxdiWig7g*B!LE-6b_Lr=y7Y0B+-ZT9n%Q@!od2iAi>`5Wp?jOq6_eu^}>#Ge}J zGJX%;|0uTv5$oM2jG68@&!KoByvhHq`~x2w}-XWck#gs8g91i1|sp9?mNuJ5E|I@yi$q3Avo zrPH{y{;eA33>yv^k@h}!Cv>cHQ>qG1;{dQKqXnEHoVJ0;y@p0j`SZiPHKm#6Rn#~w8Q9|7{Ei3Kp{3J6hSjO#>BM2iq8G9+1Ek;etTpBlE==IbcSb;)* z26B|l-|fjUGsf{DQ@07g1(0Q|LKy z?JHVU(CL^_DCIB;)HMF~;UQ8UUIz8kP?el=D`>RQkd3}bzZOl=o&MIxZ-s%pq^k8< zbyt>gi^L%se;od?9{G+W+nC0=2^*8xXw-qrF26!*VOMLK4?cI8j{SI(@7(NTNU7D9yhBcgb^|V?GjO<)I?G35yfd(ked`Dub)|S#)SRY# zZQ8!Yge4SUD7^q3zA2=MdDsWJEiPy!ck6A_O>P7Nm!ju~=;F3JfExCboDwlx)`m#h zAiIi;B|eJ!p%6Z=b89MFrHGW)xSC3}?jt3e3EDz3ye-sv&;WjXF9Ij2&@w*bRZ zr$r@8Z91jiG4hAYcY!C4J8V3?=-jzr9Xtj7!Js8ukdI=b)UF+yYhVm^ISJX8 zTp4P&wxYf5X?l9fmIcRGygH!FMFZNG9N?$MC93mT zOU(&|?TAZH$iEbD4ReAcHF50H-eZa0kt|%m+b&=+*_>XU?!4kt%V?!J^xC#x=HNsr z=cykR-N04&w4o4WsO`iU(K>L5^9h%NWzk$ac2dZ~RNFP{={bFh-~0K zWru<}T+y{|>yXzyaBQgtTVpw^Z6#k=KMV?L<)t2eEQ$-M_V zcXmQQN)Np~#n8WnEv7X!1Ss^A$>{MYFOi`UUz4F&hZ7h}hF0nF&5fB&-@dbnWjE}F zZoGV2-G_S7f93De_0M;0^}Jt%WiOkK^4QahEv)ox=S7za_O4GFi&I-1%l3jImK^lT zovQYLBeC$MMt@Y506>9Q{FlpSpiwjvs$5d zKI~HU)DJaQL*ZJLY+9}e3Ae8Sy>nqJ%UIVer8>j?DdU@l< zaBheEvq8x#9@b_RXp;hny#7}8B*@j~Y= z$rL+BemiGn>%9 zz3mWy@!{s+K^aRsp7eW3tNaM9XC3cZ<890HII}Ero!Ejt+x6g>$5}U_Jx|3=N=vOg ze7Q~Non66WzKhEes$WcC^joJp5WI*=h?rYBIgtD)GT-zYiq_6N&b*}Hy6O7a+8oz_ zI#CpFVVRQYNv9otu40A)OTyT($D_HjLOoTf`um= zGJ-j4iy&u^cIndu5|`iJIuh^AI1iBb&4T8x{mY(4>pQmsPuU;^8l)YMIY@OGYxcdr zSkjas)T;Nikk>TAZNpI*dZ8 zgQpu;NxvL3XcFJnqqD83)@Se=ZPLqc7T>?vx(|r;u09iiW3>A{LykKia&RXf<5~aV z+G;D=w9z-$m!Y;_4FtHZqi9X)rW;Q!o;r3a)#uA}YW@^|tw3|dZmZ(%E9mPw_HY6+ z1urs0%?Otnf$Aa-!Ab<>6PqA{TJd#KTTV+a#Ri z7Mi@E>UQK^UrlEpX515-lkrClFOk$8(z+sEZ{62Y^2OFoVs{n|j`xZ)8;6;bphacL1gJ*g?yH64AmYFHBD#o6~e5iiwvQ z=gjTPuA{7L&FA;J;YG%BBUvKBYx5d^Zh?&3MsfTLuB`JayRzwAub31=Wr19$;XE-_ zqL@3Vdu8Z~CEKZSN+H0isDIaX@-YG;Mn;4@GdoiW`Fo}h zt~X56J|-;_X`@5*WG?<)Bsj(mE+JcgMs}N9|U_z z^om9DUXX387U+1exlfj!6jyLx@+0I=d7$EDe=toWOFG+~x8Y8gQ81DX`Dz|b866>H z6}~oQ<(4%%VY^qr7xclQBjDtTZW><)E~N874J5wC%oqD+TsuTmjdv0jASHar?Iyl_ z#@IAZ6Ja2}H}we@h`_UlDHUql(8jC&|o z-Z-SF=jvkLgNEJS_?4Kg8i}f+RJYzT=pG;fy|gYH9=a?T#)k_!52vGZHpfmGR9uRq zy$WqZY-rzf=J$^z(k6opSgcC?Mj;NUO^e)mt8Hz@8si^F2$Oy8PWzjTRc~Ji6*E2W zg-|5+$vhZ1u`yfAD|*q1u?v)fj0;2eO|{!WQIN#PlRfl~2X4;?I2)Ro6A)z$g^pOa zGZI>yN<9TvCep526;0*7Pc@le$|i3^Iv7`!cM4SQ{OuY5xSNY;dMv&1 z)v1_aeH5g)8$?z*pU8Ouov;>@Qo$pWCJaD{TTfcfCIXnNQ(s{yQb8P~=~niOn9T4` zW51-!m^?W63D)KB)Mu3noUznjJBoIYQZkvZYk}@$8)HJhPY2RIOiu~JdohN>wUNQj z${9!{MeNkf;+Vu3!`b2L=)P!7+W7&;F~-}V?actGz34_A!{0YXe!}Q{1s$?H*RyXa ze%hFk*Z_rDqvnciXofCYTZ&7u5*`}yMkH%&{;)IVcc-3a11BWf2opKtIw7ye>BLl$ z^F3>GKEw-zGV^rp`w{w)4taNe&A9obNkbiL_-Xd=H<~y$PDK{LlnEsgh=~yad;-742u+G)97nL{mP} zF@Qzw(mwZfihs>j;@w_52gmOBi%3--deNC#U7uB%;RjA*K~}g}i*6BDn?7PvVop7x zWY$ghE4%pe6QqSM z0=i0iqhO&-4;X0%+qzTHes^90yR>a@;zC2T=LXr_YqQi{sBW-*D)axb;SsVm5TgIu z@hIpV1knMQ6fVH|2EzHLQ8IiEc0JO(NVvykv1lO2w=JZc3@`j8Qx1Z-T}4HQ_zxA^ z8y@$?hvG?5efD=^i+&VB=>Y(Ev?VQkn6HapjPjiMfBcB?6_GoBHT+~ZHwFT}VT5-K{m839 zaPQmP3Lz=EUIjGx*B@ZwS5~JS0$31BN<6LM-?GS=W&~ZNB#3)0XcSTTfKTEayXc~)FkfK)pD{|#}sF^Bg;qc zi17*V1YmsCF=~;odC0JNFVET#en0Hv#9P}752cKDeedsbJwTA?||EropA|ufVeN9Y2&rh;-Zcf%&ff$cmc4M-7R9*B zc<=vCI}!m9I1>K>Aox86qW~pHbhJNz@%KOd>rb&Td-|r?2M8$i|GW}voOY*7b;GC# z+S}pH-u?UEi0o>u?vm_dA|iXR8~iQ~O7j02FK%RMCW#3X0x1c~YFi_F9&(m@M)Z&T zA1mkAqRe4?fBN6=hta*!IzRnw=T!VdUgHzcw`M;d4yDG=gOY0?&A_}4+Imq_WSjoW zPWi{0kV8IC_NXc{v32`7mdUF^UDr)awQsdCHRBHnew}z3aYZ-m32D^7UL0?{4Uze{ z)jCP`kEar>Hup6clDaaA$NwBG!t3hbAgl9!&G>In6ufu!FN58*+_8Nh-oO3J+p+kE zz;z+lvRLsJBf$gzdhJ=-NO!(X5yHN6|JVrIiTSDFy3?i(|ABas*dX$mqjV?x`KV6r zt%~&lFFy?x8^*0^__ueUB0Kn%;=>L4m;doiinefgwrdC3{8#@==n(wbBz>>^zdnpl zdTWVgWWPCB8u~YP{k=FzzNf$PzkE6VO(K0^mXc#?Miu{K$3(jOGyM0x?(WoQR1x$d z2!(zvvHMSm$RDA34!3_ZPz}=dqS<;4PTKML@8WU?`Tt5M-Gap$)rGrY_v^3lS2Ete z9pi*9*iUS(|5D>_eT^jPKT^K!%l1#;VXuS82Lh#P zKW~*=Dx*L<0{I8sxSDPmU3w{0Zt);_PuklIV@5S_>tg|ttFK&I>oM5cxP7JxAZ}d+ zwh3ql(-zl^&nW3Ke$KsTpYR88#C#e0-qYWjzjo6Ij2HfDk+2{KC|3_oi&~}w6!N2o zmhw#$L{6_QFyq1f6L0MQTsV(e z!HzI+x7SPEfDof#QVsojtdt97qGXU3pASOlDz^oQEjK~hWc0OOeES8KS7z>SGt`u{ zo!FH%Jxi@>a>%+H=x2aQcDkgNb5~NNfqe92b}gTPLs@=t!Hd{>aFs4L_F0pboz2-( zqSV;)H6Oys%!PeI$DP+BI|tA14AP&83GImFpYu%$HTYpkZ3h|f;udS)z9Q}xGUcNC z8%rE%M;cw!oa*8$bgx){E=dxz3>!hFdPu~vLrB13uvxa`{Bgk9$_V%QWhUtktvWS6spU2Y3 zjs@A)Yj8e-C?I1QXGfh~(y++IYQD}<`-0>26aM0iok54$c|B^rPjl5ytd-t2b_|?M zdWV2H)DF1)Ks}U7I>!IeYCxaFm_|)~&jP>IWc(*pZtJ%OFVH8ta5u|LX>9-3fs1`YJ8?iU-jsMDNnjzf&MUMl-5*WYwUdHM+f-E)fGPU&uV4W zH=IJse*gY+Sn{1N<>u(gPbv~aqTd!~b&h-sSy|5on6Xrx^xLGwjFl4fQ-?#=(vbO{ z;)iOk(ZwgVxHA-(o}n)e5;~0GS4xzkTuk*Hgzo?1aYS|X2F3s?2hr)Gw+VM zT#RUJ97#e zJeNfaISdyPH_eJ}Z_I`K5#xblp~4F%hl<`qhJQX4-~MhRYKHTZuaL$JFMuQTOIn|7 zE3s^qm9l+RLH24T{Io!-9G9;s85fPA^FQXF@aTMZ>Hf|SobOJa|1%Q&;}avV!+QGv z_5Iu{f)2i4_;qqg?1ywCnvypjIfYM3Maq$E6^ouXqE;Tiz@~dFBOU<7-r4V`lFkQb zQQ^%RGGOkpNa{oGg$=%gLNFpX$-jFxcN&^2vJyG2-w0gPUf5+gNGT0i;MH?C{-po^ zdZ}OYJdF6amh+Q`{&?&kzk;AN_^th+sQ+``e=ZaMH{g#JG-nz7$6RM3{;0F^jq6(TM-C?sT*e<~mQXnhT}O zizE{QCbnMc7zd1y$EyPbS}?y}@YgW1`1`&0_!f2neGgEZQMK6HM|8Z~l`L$N|8XI~ zOW7m9yS{{N+y3`uxMOe`s!g!+UtP$*-$8K^ahzRtZzFid-?zTLgXh*SEr4I9M)4|< z4|d{)uIKVR|ERUnSco1cL8x||Strt^!NVG*YcA9@_v36a7CDBfth zE{{YH$x_PBh)&GD5Yw$89Nf$MtLEr9CtTQd!ewz6PyW5`VXZ47dpJsF@-0$h@o}pS z=3VS_0NnO0P))0m=Jvqi2?ABkrBtK;Oy)OPgO`xl$Oy)cN!CW_QW z7Ek1;`0_CIVSdBMoj#sGHhU4EAR@c6FvSJ%=|B+gLs-7tD_nH|6|M$c*%3r*3H*7r z^p3ta$4h2nYm=6?ogiEueCjNXW{F$xvr~;e3g4N4Ko*|KLW5)-p{SZG*9p~EL+DVi zx+6+w7*s{CAPHeaF@D|yiwD7jvNc-^?iqv$97Pf$N8Jl-Td(4QVZDgACNa8^ z`hDbqyZ%PDnxmlWwnv4ebNO=_rV~g4pMB(QLih_P$%(X#cppPi$W zb7@g8`q5uTROA`=v;VR}usm=)Fhe1SBO7U2i-_#U0i7{FGa#NG3#rg5+Oj1nvt@{I z41sCkj+NH%pDzvI;jKB9PJwp^nB|n;AJ8tshTr%Za|JdKzu7$yk860j(ktmQdZY6W z01kzp;fTxu($HYn`+RGht^K@k1iQ!G^zUV*E6~Q8fp-8ZHWGbH(Zrpkwwa7@U3q&F z5DgkJe?bBr1WYLrEx}~kyZv?+xtNOZpdWeasA+zX8S6%bYQ!{=k{hh25I$ z)yvwHFB2wG*lmikV>*)O4+f=_<8C;*_B-*j4pfD<*pum2TkFg z`>BZ^1M+}rYq;;q&oxtHeNwkreO@o{oBsuheR*$6uBft8m$~$uS}M6k6AazP=6(%I zI22&NXC4Ve7SeiPWR5;s%?%ZdD1lNUi^g`ATpE;I%=(u%Tm&j53LRaP1OEvnQo(#g4 z^Mwt+bZle~b^B;hqFX4~;TiEJh z+?#Gfld-Hiw7?cB}? zdcxWOJ9?gLn-;jW+!@W9mH>vrSm6F0(Xo5ZDzlU3^F8A0G@X$B$u?;|8srkI;lR0F ziGye#N!8S2#bi}`B0zuyofY4cRJh|9G(miP(!Ww5kWqWy&-TPy6BfkTCb- zZc6>@SkldDWBWm9KkQCvN>2%ywbymYxuK}+?=0$-0mVtWFZssL+mV#-yc~LOwi+m` zjrZdoW&v=96?!4ceyiJ^Fn{o733o3OBAJNEBAHwdbi!4D{pEQQpchxei*|&Lg1f^D z4CS;}7&v_DndbfIM;!Xhg1@=6^?x zTK%4jDC3#}mS>CFa7-!$vdtMQ5RgMf+4zbjS7%&y9ld z_0TgTgu+I*(VGuH&JnMH+f?hF`3-vX`8 zqJzG#Yaw}stHnjCB^KWXINu#xwD5Ro6_-k&bDs@8Spagv1o1bG0GGoj^L17OS&$tL88P_|redLhu?ZKJh$BWPZ%=1Dr(VUoQMR>HMFFH2a8t?&xaLv|Nmc5KXn zt^5_0K&##s*s~J13{VY)CV5f?6-7rm6Rx-l@`In_D<6JWeT63nVNu5 zhaMn9MQrjKAPyu+dkGram{eP=sa`^ky)oL;a|8~)yXL;XcV|lLsY<-~PXa{-xn^l@ z>>L&ZK1R%ip${~izQdqV;BaulHm$gk+vecQL$X`P>Ct-!35$m++<$wE?^4x0@Wjs| z8z7)Rnf2kS=+qhGT3}$F9g<{i6kAQs8V3~*yNcSwKX2J^DuY12lSPsHx3ln4KN(H$`US6y*QdcvDe zRhP`Ax0Yhrs}Mq_dFxXN%??Fv%67R&cNp*{`W0_e=NeVL&v$&JL|37G(jI7Vx^vGV zmP!U&?=u$N%7`8g9PY2od-Iz`9{&VLX;V8%K!1UE=Kv}ig&qI7HrXie|E#P0ntFH6 zgO`Tro&sfEf$Ti~)YKq#pU4l0Rw>et6%lmMb)FLFDs?H^LaS{!KI=pL?7uJ%jY!927Z?BjRrl1Q*QmAa!~#odHlwHcgVGvQYgQJXpCx zc8K+BgGEVE2|#0pb5G@5Umi=e!KToOM>U8$IV2N1s0@NEPM7BtG?M*pkpB*U3?9^gv9Gx znh3|(sqCglocM$dRwxSlOkPS|{!8QR*OvKq1M;}ISrQlsGuK#zJ+L7HNI4zM~E&L(q4HMQrVh1q*zAv5eo2Pa;6ne zqMgg87J6;3-tPQ9CsT{Do+v9OopDxhdy-Tcv54qQdOXrq>bLE;m1LVKIA^2PsAU?` z8d+v(0nvk`wNpd8ExO;cBJM|*=ZP8NnS%F$i=m6!iq&IQOa&!yig_^mcj9!XlU!-9 zQ7=a7v|^pb8q0^_8pna#_g=mpTCm+0JD=UsOt4^svniK^5cUf*w06WrpI&$6dxD$Qle z3?ac79l+AHja};PdOHaBAdd-mZjbisv2AXPOMF zK|GP=a+4;}o>c>PIaj{dm5ZQ?S-`ZX1{Nu~(NeidluY1>RMM7ZQ6`sRscNxy$!+eh zY1BdA16L=Bk|?1!0V$n!TT**XdjIZR3ob;apzZ!y&^AT_cb?2g;0G%36pkNVMwF_c zeRH<)+|&E}i1Z8kpm@b4ZPWAk-O zzC}G40k_=#6_tQp)v&`}mE&I5S^U*3ZAtYd1^D!%x0M~L&r>yBr;XXf>20zh9sT?f zBxKDIFNVSUX2EGISQMj(!z2e-rp%YTK!=_zZWX!F3$wPrXvVG+dYL=vov~&CT zq~34zhbfVVvleu@(aIaPtO_HMzJB6b|D zg5*cw`E!8q+5xn$1GfFjafMJ0V78EV*S$_--vANx2dUKPsQ&82M#gL}pe0sqCuO*C zb#y@lR3p0btz)t_T^9TDzA9WXmaJf%8*2=v6kB@Vg+;V_WSAUdPlt6p7VDV>*rdHf zTAAFrjisTm2@cjcn<8ab)fYW0TyE-J?dRsNj=V&;7VqZi%QDG&3&^qwb2kE%sQ6Pk;(+ za{6rDl)8H+Kant5ewi72hI1()+U~fK9LEsTm~EX1{t;imY~s^H;i57=;(4?0qduvBI_na&=rB*KJWX zjAbPBaeSu$MC&2FoRn6o36!qHDrY$^uL>affb`s*!F-_N83^zvK)c%w471Txl-uS; zhPc~Y-4vASd!pE9-$ndC?7e4LR9n_9tcZ%36+~2mO3uL|M*~RCB3VT;1(Ge0Lc|0J zNR}c?&N(L&0!5A`6hX-X1xl2B=cZ5hd%ExY+~@oG{pcTugH+Y7z1LoQtvSaWa}1i{ z!8idk#rc31@HXJ^n+181fZoO!xf51n*#xDuv8_hVfbwg!cEEAggB&1~X5)!2$yK85 zt%Y5KZ>Y=Z#v6?DZp)hdj*@p3(;tZvd|uGc!;(65;p3R$$wS0H+&|p&)nUK59>fND z%OOr3$KgqLzKx*3?(+FjcRrCk7X{`Dl>_(7xs^`y8Oy|*xq-Fa-Q$#4VRB*Xp2m%& zVT2>Q(Qp@iyV;sgR0!4al4hmDB$*o|FgM1AVHctHmtPQz=DYvw4XvOYJ!bs0jRE>t zx7=rN<7U32mu<*)&wA(Gg-C;-L06l1!gkgtqAo;M9cn_Cy~K>APQJ}>sIYkpFY$p? zmIJx6R72FI=nGEs0ijm?c{Y2Wta{n_pKt!3<1DqH<7B6Ek9<9yF0fzn<4>oB<@p()|k{ zI!5vCNuZ#p5HZ3jkNf^`R>r!iwc+purm~tVlgiP!8>wF>azq`8oDbTHGejT4OSopi zvZAW+Mvorlt50R>$%KcTL%9sgJ2=w7NBjE z*3b2#neI&E#1LZ+OQ5SIPm+d0!jR(&1ZEQF|w=YdT&UPYFpN zqwmH2Fv<&g^W^{aX2qQ)<-IYm$wbwf>;zUH*Y_gK7a z1;;}DWY3b>qWxnMyPZ5mphkyi1kKV$LO)Sq-2PSA6J84q2;8LML(YuzcEsR`kS6=u zy-}7$-LgB}G%h@X+`8NZ+?6t)hws2+981O$Kc*bmYSUCf;0)O<-n(0}D7pXZ&5P0Y z$Yj-3SD6SWI`d!9zS<)H;gNUMLM_o(-Rt-dG^pjwZ0#9<#l0dx2Zcu|pir!L%91v= zB%li<#HXoXoo)(6Fuc0@`DKYxA3$&T_?>0eIvu4p8$fuGzPUE{jr(6tseS0#;z#B3 z899n8vu>L0Jr*x|PgT&RhHeXJIW_i_f3ki(c%u70Eg41m!GAm?#18tYK^vuazpas{ zME7n^F!8=vKj;d;4du*!*+}Axor~PNq11P7V8(@xKfjOqBtU*_5BGCwFaTY{Z1L}k zFWf&JVQoYtPM=MU{}h6qz9i1{&yQCO5gb>#979cyiamvVsJYx>EL;3A$)(ss9nID= z<|}TASxp$K{O8bTg>h9FDY8{f?45deCaq&tn7V88-h;xSBRKBLemUam)2Ebs4@zmm z+>gPFOrhIPw3Zrr$`#>4{~w>-JM|Rn7ZVic+42GZV9h*mLgWK2FY3LKg|X*K?|Zl7 zps3QOXB7X@4O(sy$B`J!MBuwi2H*JU92+kq9S)tZJ`H?^q?BbqCCl~f1&c>S5NW*J zmg-WMyLbCF&b%B9d>^(Wws-osGEO^+`)O{>zC#`d>J+&~5}RVSkBsNhf1G}PHk^KH z=#aqP>A&weRzY`*ecNU43GmarI_^r9vP|ILyAO&1kN{mfC6__nC;NeK|2Fk=$uOr^ z0}#_(MO2}{r=*KV4zXIk@$wk^Y@le`+jcpan{;U-<&}e=U{DBcU}FAA$4OT3Bj_+F z1l>mq?6*c(Yh&smS9SSH%g(*G!0K9c4%xgVYNT`-wC~OMbd;=}e7K^$cn_b;@49|u4S3l3+XdJ8j2tmb1a+g&58t1uy1~*O(D#Mz}fr8 zPXfJ;zS!rW3Xobv8m;$7#E~DRHq-L+mx{P#{Dy0bb=>;hApR<^ow;XT55y%NI0)~E za+b@14lM@)YEQyisG%yg{*a(4C^z=_Azgv*deR}dGif|cr0k-KM_zE!z7F+GHk;c` zm@2-J!WaSmS98^Tq^dI&v1aClyyP4-uQ%gzo&oB7^Hsx_^*-+VC zb~+u(x+o@#x%;!HnhfFoyW>o8ZqLP=nFO>#7-TRR?-mnvCbeL)ai7LcaA}s zzFV;5pYJ}4Ku0`BXAgAFWYFJmoUfQt1jVV?mzD3SwPF&7?#+pvfh=>sEo%PmKed63@Xrj5^^w4ue zV*3*I&yU3b`zN2Rw}>#8v&{xxBc4=Q{Qbte9wVE^JnQ!ljxU*1&`aG)5o%7}a$rcd za)1Ml3r(TjjAzRgDva!mXC2-W$4e)@Js8VccT`7nIlrFfQ%MMEPs$FgPj-q~d#B=; zGgvw9ad3oFxy>dZV2~#}(NU68Nx==D?3A>5Tg5Lc#C^QF6+?_Ah^gAi*U{Vl(mQb5 z;pl7KFe`HF+xI~H;(dVVYDcod*-ne4p9u_dx<)SH$nIu*X=4D=vI-Dl%X#^!gZe7h z7D6Db%MjK(j8I)@oon>m_ueLDk;e9`^*QpC&2_-zVrNY zphDG0B^m&NJFL}@aZ3AtD?Tyg<|Jg<@nPdY0iCX;!2|4lG&2dj6CVh-u})~@`@BATA#&3u zOq{3gN+JF-;0!s}N)s+;l^1SoO|jA~;?Z?$G1%ds72=kS9IxPN z)K5LjSg0tL@`7U@47GC!*)_hv1%GeaYr%C@qZ>}y3BKgP!r&8mwhb!v_+!d`W_Z)VnWAZOS z>=#?7A-s_-{_)~gmQMvmPwLa1#Gak^*?IHQkN0dzK)&hj;oK!8i&%&5RW6ftye_m& zugnsfFOb}P`&gJ9Jr!{PR!KSRG{5*Qkz2-I|@fn z43`f=H*sNMBSR~C!J{p#ym)x9f+R`9q!Za2LUhMEdQ6uOJ$=6(8urSBCjv)vE^?$) zZ=!Tfa!QKk9aZF}WaLB1J4$x5C+(_5lb7Z$E1a!rVarPycEXxH3?~}%u2nF$mwy^| zQs^@+880<4;ybxNl)QSOzgQ}0l)h-KDq~GNp{zQ)ttO>5+I_6+C)a~9_x!uV(ZuIKm!fxBN&wG2i$OX?6SMHayb!t zvz#wXIv?0}!53R~Ba)MSm3qJF0Cp7c+;E=dIk2r0E_7#R=rE{M`O-bxA+rI(>HGG} zJ&B;sW)^O`AkzM=D_yDPcBl9?v;j$2-z&rXr2FsQJQL}P>G%FOtIqZE7Nj1tdYtSD zo$YGh3MS}uFSsb!ISu#4vjkkd}LhP-Ca@H>)_w^Zk>tJ+2GTtppz zE^8q-Nr?Rba_F&gbs#{Yf7}O4v7uBC?0M1leLYnaE*(`(#U2zj&A$MHX&s+004U*Z zfabt$OSf|ZyvVSUCQiX@|!!#-B)vNGzxls3S?g>hmSc{)wUBcldd>S z&VmJ8bsxj8@!v+igC{m`n$eO?9!cJgQyF``w6(?KB7ylDVQ#co^K5|{ybMF~ur+QG2K1w%KYU?uu=UwA_7*BN3O?$H+Fg3c+4YU%nsu z(nX;?Rgu0xC~g~U#ZHk_yCjuk#d_TX6RS8C*A|l-PKu77npJu~Y>qyO)B+5_;Jwf3 z_Z&vU81#y!vQyn|+z}f;ZE(jW!)X8X(qWV?(r4abLC~4G+q9~O(LQ6^QHmK?Q|Fpr z$JB@G7=;k$2UIO2@-A_>T*G_`*D;OA=v!f?QmyXI)@O@^=Br-sZ$|4Hj=SC`J)F=eCp=7D#3yQYPMy|`fNi%* z`;d06M9?L_GcNQFI$CxhbHwa_H*NADbV`ygnZ{WBL7WG2Yd5T;An`1}NB|Q&MnonZ zK&3Wz;nvfn)n&Mdw*c4>`da}tGDV$H#a(N1&rK*|eE1O5GTXXxjjF`P!rwfkGbkaL zG52AKcdF$3*2gTSg?WR@Gi!LZFL6fck|3c~r&`D!%UpGT^WcJ8thI2H*sJ#&=5)Fx z1XFF@z8eX5$TPPkqgOJ6!VCCzjXmq|^{!xW8{0CoFCXu35pdNmKy=m=Oke>iY<0}&uO zc1c8i_{owA2D+JZt}ItPN3bgdbt<;e_RPK4k?;IdGYSM<<_0Ue_16$0(LLb|htaNW zGur437uxZ-)hAk#qvPrkNSugcP3b>r3yjC?DiM$db3c7(IB-cO&)-fZo0< z(~YFWK!LE7zL6vDTi44l44DV35ViQj8A4_o34?qu;jbU-pO)Mi62Wd zav6p#z3;G#;o%`H6r1k&#MR`u-f{;mgKwe1#whxltG}SYLRD903DH@$#ZWBNHtrlq zt}0N!cq&af>IxEoLvfpWZUIb4BkiAzU37%>tr=WR?{jw_`UqQk6NrN|xo;Mofap9J zgt3Sh+;(*p4E0rU1^o`VJCUx2m>S%qhQf)IC}~LY+b(v`bkP~mkFj91L!_;B+bcly zVlub^yLqkYOV6MXipR|pryVq3eje&+Ui-U;i^BggK8sdg%?a67E>;cUge)uil6OSC z@si0PE0-u;RpKV9DJi77Z%je(6^Ac(Yq@f^ym)H0NfW8dD=C*LuLRpf`oxvyo!{Y; zA$IN$i1KhizOl0bRWdk&`e}+&@C6j`vlEL;W}d zzEvN#R5WrQ!`lo{1tmK+_6(|u@zg!xPvO~q&}^OhC+RWv*EBIeeen&XKC0&U1hOTolMr-@~G5Yl() z_f@*s%;q*igSDPfAjIph+JxNG#=!9>+splMqGXKQFh&62n-P&vXnqNIwsqZF&0>f9 z9=ewGx9h|Ff4x3_;JR)d1U3bWOPt_}$BP+Oy67@Fl?)|&LySuFsK#tXtgErj&O6OW z%tWDE9m`{;aDuz7!j!sZ0W)1BJgWih3s#N>Ow;x~aHsnCD{92MD}4AC+$1)I6=fC% z5t9h&P}eaG=%6$`-G2b@r*ZLjE$Bxh0@c|hz|WW<8+>G`2LzZ<&b;a_eR(xa#Fy1F zDccG-a zp4Hcs%?u_Xx0w0g)w5l6{zt|z9?4NR!p8x!dNH9q>_U6afWCQg`L>`}Php&+c)NSc zRr{nlLAA45PDDUSW(3>akNNwXQ80ezeY@r%)VdUtF~V8Q!r|Lm$5KBN&f0FXnNYrn zQ?uLk=dHJ;8;MS9J zL2Cv%3B|aT^XDQxXpcX)JN|X{y39g(_Y_E3@K^f`|8_(4ML<6(<`$wajriKNImZM; ze1b>9T(l#Mh{5rf_lZ?%7s`fQqc6GiXxz_g2IUb}pod06n4EV{(o-l==vrmGie+BH zHWx3D04t9=fLL}{ni_*u=ld5m-_}t6<<1QgUnVbtc+XO9b3%DnjGA3^6j5QaWKykW z!u7846zTqA1;78dkQS1AvrQ|&N;^~7bC?{L8+KV_2gph|Pr2^2ZZ5I;FBytXm2-`D zz2RgnO;B#F;_(?(bdo~S1krWswS_wqb4elSPmB7^txGj_dxsRU&<*J~Jeg@ccnN+GV0{EPYtV>z0nzeWVV39>4jfZQicFKrIq0I)6@D4$5Q*=Z-@(qV$Kl>QFl zw%L}E@eYTERLcm7P^onU9E#ko7PDmD$!ji#FsF;-M>TyS)*;%`aV8?_!CA9^5CZ{| zKc8s)KxMqb2g)}^fi=KrVGd%?D!=xpyg>BuoM4EB(Z=)8CN4)}%b==29x8Z-yX^C# znA*wE_5i*5h=+Cr17n-{5aMsCwIaMt&P7K9>hq`4jlA=h?Bn9)^jcI>Jkq6z1BVh&h}!628b1i5moS>+IOq~R4rCtZ*i z|61rvKO(L>r!hi+I*s_!Ns;gSEUJ56yK=g(^y)T)q+j++X^-uLN6+1LJDm&BPMl63 zkjQR{zN?-QP_$LZyJ6Qr!(8STT`#IuubXS@&xXnIXdJ7tbKC($?5^CnM$rA=$rWz~ z1M>`WFgf!2Y87;K=KW;e(3BSAwdCH8b4U7-*rGypjpTf}f4Vf1{=6SwwG)JjtrKhJ ztEP2RN81+zFSKHcj!HUnoIJaSf%)0wJXWP&xqIo>uS*vwe9(6_P08G^bk2*AWEXO~ z=TX})O#?;cV5vRP59GzzdUvIKp))f@yTvwbY@ZPeM{t|fWH8;f_c8;sd`Toe=bzsWauA%-=8IAU-^?IO2EvoC0^PD)WbEMA7gsV zG)}R%GnO?UU@3E}f^i6EH5$I-u&BTGcEw}p%T_^(${X$(jQFg3ackid=CbB)A^yCT z+l{2fnb4e5P*7=G7Y=H_s@3kq@|7CUB20w5k$LRMxGQE920|DHVhIMqcioi1*SFx7 zq`gyHsm<>tLbi%>3qvm-Dp$V|N)mt8Hvjyl>M!V5 z05+Ha^g0auGivYE0K#g}&LIH}l}9J5SP|SydZRPwA#gRi3QXk@x%VgWM=b4&Ao!sb zd6dvwk}+KK7vk>V`I0>UHKTbc0x%E1fq}Bvs+9Zbu!fe#L6q z8QZYy)euy~gwM^8cH*q@BQ(ver0khao5k8N15W+vj^ANI ztOw3E*X_*K;URLHQ$8GEc_UWn+RrRkXo8+nwdqB$2Sn5fQJ}S?iQnLoM#pr?5)ctg zpz-%qB&o!+rk9<4bsVuFkJC*binpfSV4Tc9)R<6s0sIis;@mTVl>ZUKlPGocH~6BQ zL4SKA{_ad<+~bw|#cGh^eZM??I0rgWfiW8nC`ZqXV+rtZ`Zo0X%(z&wRqT03tmX54ipz6d4VNV+z{92OuWMm7=WRkS4`FtJ25 zIFR~9rwK-jy}5GvLaL~Wo$f9&T7T$}(NaK0OH}yWtnZ5HI&70l!(JxYOl3ux^3rwJ zrhbQ7>>i+PVO z34R1Kq>TPSW;=UN)ghAXT3W!1fk(R5k3oHI9LktZce>|gfmCN}A=cIi*$^T)Rd%7- zS)4Sw3{~5t?zgmQTxUnYb_~mm_yAD50^e&Kl8mwon3Z{DlA@03lTA{Y{|TjqxJwd` z^Id4tYWVysi`T*@IV-la>y_->oV&6i-p{DM6ILv#EFvrxzCg==xiq*Jw{Hgs6|Ms z^n<4b4FHn7%l174Ws#Dqs{ELSh;dA`lk1PQVD~ms z^^!iRiIgvRviTIB8e`MKIb;+c#VuvkSC1(!4rVn(-ZI({Wf2V;oOFLX`*CO?J)!Q$ z&#vN;y`#0U?;TB?Z z^x7=*DylrNA})faihKK=8~0web+d zL8GYHUqjr^BQ`w`^EJigfiMmlUiz%hFZ&xTuv`M>dv9!(>yfOX;+cfw%9=kk-rRC8%3zDC@;?!oY`$WDObEzO5b=TfeOXfi28KICq0ZM|i<=4ikA zu+`mcq^xmqie!1KOfJphz&nz=W}|0wgNt~41Anxc%am4W^B6A2QKmn4 zzW>7pMNhVjRBqk+j)!(*-AGiR>g6>~27>VfYNSCR)WT&-1KwSB&`f+qxlz8NPk4OE zkaxUmX;jE@g z%ku>bgqoJ+ncn7kc}NagK`mEvmEH2DDjxX+7U1W!Ktbr8fYH@;kq9f3 zGat$Es~2v<)r6C990U$YjriFYl+ueX?``u=AKxTCD>S-b zR+Wk`QB>=ha=)A#fR`U^cI|1X>r~_JCY7{#ZxFLeSHgmH-m+H7jYu|-_ylY}x1#Uw{lhUkeu~Fc;j00uQ z_=+&Yl7VNVi-3W0*2ib{m>qmKtm`|)A4r-Ra^YoPE? zyAnOkg!0K``~i!ujSZ(*x1gt(O15oJZW;#}db2ZHv}YY5W~^|aeTScd0LJLWTWd`XJ?8NZJFw!DBF>H1aUlK7{X=HV$KU|)*1!bW0ikpbq_PDuuC$~;v+DBbJQrnem#zu{}1h zcv8i)-4jqM^LWoy{&{`OOuH(bI42^SIS6IZ)tB=2DBI#rIdh2Uu2~NhLBEfy0c1NR z&23QDIz$AwBCCeaTWPhFPH6gK;EtHXjxTKDxf0&##=-t>9eA|wfD+oA-Yz+TVgrU) zHxebKuO>xEB3iT2n)4GYtDoVUEPC$ec0p~$E>Lvx{Mr?(&!_^Ewn!l$0IeR+xB&Xa z8(HW{ost7i3XX_QwypF_6R+(OBNtGrm-{SMn-a!GvEai*TlGrP4@? zAeT!_aT-dseN|^}(_{#fC)UZv@&2(og-b`IPP1XXA5`y5Zd6^zqa0$JR|X8UHYdUa za%%#=;M8CZI6QxtAo581U7f|_y~CX)*pg@n==sB0OHV3e@W{agv^WSOOym@VOC~$K zH@u;w@$t|&i}JgBPH8O6@MM}^WXje`3)DbY6YZ*6+qAmF5rXUyN(uJ6-=I%W&~8xV zVse+_$djc2(dCXC-DGyIK5@IlP;GYt)(XyrU_`L2b5x+TgrTVw%FkdSr=HW&>{tpA z9_C}f{z)8KXcZnAOpm|G%q~}S{)9>rF4}*Z<+;1&|UPa0iP?Zof zeT(Y(YV-Iq>?=g0aeRs`jaEg3y-pr+y;jI^h^J;&$V_|_WiVx^)9hN?E=r0H{i8B^ z`*}l7i%KdFSunxA`PtHhu?vA?CJL@Wy z*FV4uUlLuIBbX>Ku^E%K#bSzI5mw0g^1@7o=r=zo@J5FA$eZ*0p9TT3Xu6b<`u(`@ z;JpKu2)iye_kuG51vy3~ctfm?1GPWAt7WzsPu-SdcanTiLVaj=?{1=&Qw}gp%%NCU z`tpIJ_uB)MmR2Lu5HA&@sCu+aUYA(+7H(6Cp~y3Y;tmzT+$~H^Y_)Oo&owsPBKqU3sO3&O3U@l?Dawm%m z$at0eQ*EpK?;*33jo=tCS{WN;bCp0swVFkaxBNc+Ek~V~ zW9@Zm{ihZ{!ZmWg9~&3z7bvadJ!Abx2cm`*`76Uh?2zX$d?HOk282L*M&uOn&s_U!BALQb#nk#&muO<5>DM)Id z-%vGPV?J_(#vUX;`_vj#6;v8Bzb0E_Cvj9VV5X3S`SF6rRyxqSR9mGnGr}^1d2i;K zH^a=kQ4wK7MIfc;1sIkoZC0xEuhyB*KJm}AmG^A38maajVKP4bb??b8-;w)Wb-hc& zck0B8Hb?poLGBi13|`AO0VTpgO;{<;EO6KBV z;*G;j5GLYwwl|6TFPfr!_j~R_`WJhQPY9Y04S{0B(v4-CPB+)1Mc?!c64!C7 z8ze5C0D4AWC1-r*pDox~h%5$l2No8izEV>~)R5IH&NL))5Sy0iP^h3nBhDANLL+*! zs*VZ$7aaImS1N)W46FFWgUIt4_=Vu|FcMpvXkM8|%m|a+@t3FBj(cCr}EzDM~x?X~evH@mstb1#lZhzotOn2=; zpdB+PdsZ@p*`!`oKSYKA|2h1rGk+8*&vS^Dbj{s}8GOgRM`_r`?fsu@<-UEaljpRR%N9RE&2cyk&7Q5Wx5dBU zB5-=xWeMcgPoT?GmKV_5$Qw-;Z04MX6Lm%<`E0vl2Z(TeTRKdxYI{e%B1dx zoakb?QWo+E8jmhAb*hA2@pj)V)ANFSj92*|Ih91&r*AU{?OeQ!;o zAn|PAC_;R?!Rg!uWJpt+5z#SgfhA}(5P)L3G@9X6+j6=z4OpJ#Rxjem&500KiyNz| zJ~|F*<-jpo0j7TWM4LPK1RT95IQycxzkoM*N=tJ?BXEVR0c|(meB@l3ryodp2Dtb& zrH4`kCA+6!$BvGvsXu4H^hycy6j_PaxyuTT(jB>#a*3Mh*wIRo{q6oqVP7o)JgJg2 z?ypAfr<0&gFv05H)VlJ===2=Cid9cZ8pP^SWg0ez%$8DR#+Tb|UeqkDU~pEHOUxrK z%T7ZiW6Io-qC|r%y+pUqNOajJZ*uDEV1*MJEsFZt51mzr^Rd}nS$j<^+`Rr1FHkC; z^s7I+8;Y%a@lSvRV-Aubt{T1O+D>sZ#7D2_Tp#7pH~j*hi=_{y?W=b8BQS9*X^j`_ zUKTaOQ#nC^!pw>;?KhWG@tp}G090m+v^OEgj_Lz1sYA zL#;)7tkd45H%xsb2ni5LYMRY#jT;aleygPu?tgfen3ph8i4$^~R2BqkRMPjk0ww6`84=Vk;g05FSor0%_daY@hcPYPK&ckt5VQ zFTCLgk4~&&zwypL$~x>5{idmT8gavq$Brl6vxM4U>twXOU5qIg5z0O|2$Y0r!+IUGOMW>j zAY0thCs|R*Tf=OO&X(Jynb20)rA2F7P?|-LFimVlCyPxTn!WPY-ut?t*Sb+KRvUiU zX%4Z6LD*ZtVCZyCXN@+l^plJDw%->Q@u6ffElP*hz8%fd?jZe`X4jmXInjR3XHpqY zne1Q5a)V?b8jxk;1uP{8vSn7UPewN}_5f!e3Ck8AerJCZVLkqnEIYaFMU89*G*h)9 zoKyDg%N+00E(F4}RA$7RxeK?2-@vD>KhByHXauc7=QD6m0U9li?FG#lCor{0>E(0o z>z)EYtOe-mQODRg9*aO*gt`!P`#mYVV+LN~Eua#O-q%&L&G(rycNpxVN`+G0Fb9wH zN+<11bI4@5X2d!}4`lznMB(#uExcuFusK!@;)@qU^Bi-~PD2sbts!Qc32x`dyB_## zAMzxEuQXsEnJn3Q<<4T&6{DCD>Yps@G1uXd<%^%lQYW_QR@}kD2s7y965$ox-YX_% z%~eL$r`&Iy4=VWp_utw_dm~25v-0?K4fMB}11+TVh|-Vrk&m3Y<)3D{ zj4I1yOt(Ih8Px{Bf1T@w0&DC;pk~;-^4S5ix)ocr^7fCe%|nGmS0Wm%&SObuQHj%z zy=E0cr?Zp;q=iDyqZ|p5N}7y1D1IF$4SQd!Dpk$28X%Fgf16Fd8YuD!{8`v?Qqu+N z2Bjd2B{_0-A}h3CSA+T18R7mo4?2T+fM~ zEe751{@hXWX{zVi>e}l)5Vg+q-?Ms`@DRufkWD=?-CXUK>kTd%=xmGVG0Y(ISJfod zB1!BMn9ijN-FzdY?5y^jvf+W{`5_|PzRYBqtY_J(n!{qw)As@;SMPR%FJXtLn%HdQ zA}hoUM)(O~%aJ9$+?80vvhE4wc^fy~d*0UBbZtTNyzuDw(nj-wpR*T?OZ2!6yteuA zNqEk6JK^{V{dJgjSm%Fz3SJ4zNcZRof=AtEcKaBh6q| zu>O`9g0&jjX37XiIC^D*uyPaMWLWo!DtO;O?XIuY?MhBvc+)0S9dA9at@2DvLH1g2 zrB>Xl;}<8D+cq*LwR*Rng;4iZJ+zD}R#V->7S97bI<4`)zTJVFc#R*Yf8zWN z#sxBDZ<$_DXLNu@pKC;PS*(VaH*{*{&t|qRK=69u;BP9fY`dAkiXy%0#|1g4pSDUR z8`=gM_BPKIU=NPX!DN^r9)B?J&zYl;oL>;QgjI7eac!fww;&D zO7bW*TnPO|JUoc(L2!aW^k(9{Nns6eJ@SCvBI8IgF8|cVK9iF$tR19Dp9F80{9oVB zn``EgqkRZ2J>mR8D%*=t@KLP8&g6lXyj*x2gw#&pYQ-W9e%B*0rMoj(c`O8-~ zu-h9=w|dKxaO^b@j-jPrwjDcotT%fGT7xH)M~jrn*haCqPu(O?fLy8Tq9- znJx4=$?T#w z%Aq%z8$8gw%u6C%di>qn9J-x^4A3Rv2y+{~>zx^uz6=db(Z9zUF0QnuOPv@Sh)k$w zE85*Vf6lI^IrUO@V$&ye^8>Kax<*l375d01P&^_{3>cg_SVAeT0AaCi;3?mDK_r?xiy9!N?BiCju;?G;S($N9A;#UyEqDdtVI+W zZJ0&xyZ>jgErjBW{&(17`PW9g>V6K_RFT%yQ5zs{W{dFq464*b5WXMc^{&E$zMFL} zSH`;`q9laz&<}C;VzXc9KJ; zzfI@O1kxKkbMz4@r}nY|o9ceNs{=jFYUT!67-{BW;fqnK1Y3CzLyA*!vrT=c*p$2h z5bRwBb7v4z5aIKhaZ~p^+y^~Tk7(;?5iShEe6Wr8K?=7cS6m0cT^KF>2BNWqoFCI% z<^AT-QOJr`42?WdUs%Z!53&&xGw$Ypfyv42`r+G92YhXZHWwm=d6VTsiLij8koH6P z+ZA!fIaTDBMz((S;3Mj#Nz#nVvgd2q4Q?jPkyC{seTnw9JyaPRC#s$ahjDrp z{-8qhY=Uj%z-d#j&y?z=pA`!(fxOzO*nNcIX|8@v2RH-&*~j_9oye&aJyfb^mgx`N zd93ck=dM-yTBiR<`tC=l$_(JJ;P_RcXA$e73=TocQ0Q+3kvJ-0$ydHN+B&ZN)( zwy=&6|7~HlAopg3TLPPqlF`#bqZ#?P+b7Q?*dA`;Lwp<>7e2JSLr#$-Y~~MQa5u=nOphNzxL7FpXe?gT@pt(C!Fv*RdR0}^ecu0h zt%ezJSxThW1$FS*6R`d^|6mI_EDc#`JY_dt7Ea`Ze6YlyBVmsHsoYX^SMk@#Pq7_A z?4bIwN2;8Eh76jZP?;A3naCCO;LUjXAkTItm~F|Qt2NKTur79*jz9~!_QCSih?!v1 zx+3_xq9gou+Atkb+{eEy*pj6fmj3kNBX*iekx@{U$UwY}9(kdHyH?PeusYrO88O1U zRntCqiR?a1o%>;TQ>l>8KJNK8#Rs#5Pm#+9nL?Z}h4j@*??}MkMn%ufDHOvmmXiJY zzbV43`%`^8N7--89U-I8*1ESk*PjYmTPnbDy@O}6uBsa%pAn;n2_?XWZV>@%JD9eN_Lu z#{GA5_}8BE-(B_pFS}~V*gLC##WuZX)6>)WOrHFH5e5ASdZo5eR{e!32pK-ZNZd=B z8=AlF0o-7*TmkAX-Jts0U5#-n>Xf^v!z-8#DB<5P>XiP|&5wU&5)eP`#EnwBl=h24 zP{vp-gJi7G4*ah0Iy7OoK(W*s(7I>=$?n_nQl2fqQ`S7!52S$B11BZk3UIew1$k;d zaLT-X;UgHZd#0svH$JaEnr&FoW$4nYQ#uIgLmB%>+V_NK&jA1vLWI^bfas3j%6tR8 z^TS9%$Q;zDg&2R91t465LzK{IY1K9muU+~?FgC1lpg!%{>Xx(nsx<3#NJMu2oj$cae{^-Tu$i# zzUKUA6l220>vc}=Of?Std2;Zt+cAC%ZbWtdhF#dEtVzWCsK)JkotOOH51pPr?7!NP zZ%RRqM8b^61tCcGZrRIIKEFEIUVX~xG}~2gfbhlnM5fy&p)5Q~-->w*&A@UcHlN84 z*IWdgaHJLfvj;V0GpGnjF4+D(#C&}dzWDa}{@X{6Jd(b9{jk3gqI-WGV%B3v>L0*d zc^d!JS_EniYS^N8FJ<(Oq`M~IHjae?zIe)^x&IU+$q@$i&-cO+oQ*q6-jUdUi5 z(vP$Qy)n%!6~RK_e&lZ-$Xri>7J+EsJ_w;J^3U2;k%WlKRvn8(+oAvsFIOlMz5Cgf z;@=P6tUl*ZAbl&ey}2fAJ^B1^wq!CrWP>N=xbdrgI&jSoBn9SZVD!}`_ir#}$1&I- z0rezkRtiFo>xgYW*$HyI&OM;?)ar@v=-w) zd8z|4bsn?QXI==|ZRiy!bSAfSH-f)pD`5V%nOa%==p^O8MH=6|;7l~BMj2twUJ4Yz z+}sDD2V}+ni0fsN$tcx9IqF0Dg5Vjl366wR>1|Emj&8H)S`8pj`|`O`;f&G*obbw_ z!zG5u!wJ%)0q6pErn{rrmCA7vH}EH3vQ$! zfS|qOS1Zatv)uha9_Ai%)M(-ATe5*$c+l(j<@l*lU~|98z0CB_>@cAc1}yccqx3tw z(YR0B2?nOEd}}`SE7dPHKQ0U4smSpfPg&%ef2W7ALXQ3VLrSEvbOk^!LZIx7SAFGBgx5VA2k12jsYDB@=v1E27BLep>K?4v4-;6p>u%M3s7!Y)&Z(!865<+&q?5f8`KZ5nbT16 z@ffRkoo?IFFTUm=ZzA{cz=R7(&Iyr-Wx{~f2tp0Ytq%?C;i1*0DWhM&vJhUG=@kTm z#~Td5o!ND@rvBWed{8Pa7ljJ^+!}_Eg)e``0VK6j4Acf~vD!S??G@c5)6P<~fx%h( zv{+Yx!fRzk@{Isw1^6Ry_KwnnWjU>rX+pZzA_U zkvnxMu$m1;1nvS?*0RsYZD?G&m!s!#X|gF6&URq(Hqbk5U<-;o7HGANAl*V&vz-)B z=RoRX`%N_0*CnO(E*E^XbE~>ZAcrtib_Af>Q8X1vmW;1z%NcSdw#J!2WpgE${%85K zZyK@w^K@DtOb9HoG-3?P3-AP#`cL2G*sXNUD$U&J$ewq>Zx0>&D<77TATMXQ_Ht9! zbW=;0fi(POJ3*JpGiLMSmX!Su>|2;FMS<)TOyp-y`rO{z32DiN`X7c;8u5JIngs#K z?-6G_i&D@@(ClB^%=(Pqs(EJftgPtBM69px_lN~|pTj3z&naM$I)qj8Jm|H#?m#8g zFqpzHrPb{s(=%Uc-w*1J9zfu9yLIJ!s6#A_gYFZg_~TN2!1qJ^!UlA_pl@CIpyTl6 zwEUkow^h#0!H2i5IPF(n-As|ZF_BvF;M%KO_PbU+N0O zhO;MGINCs^#P4Q)S3e4b5ch&g#;;@*TY=xa||IU`xeo72Inw>hxz+v=3o*-$$vfv1DG0v3!5+ z(dPZd6bYb&>9UU)z25f&^k*437%KG?udV3u1BP6@t=e?+W$?|SsKi>%Mm5v}pAeI$ z`5jZb9dL8|`(x+=r8X=_vUQ<`mgn>v+(7W6Cc~zlORd72lcE0{i&G4+a|udoPht61 z48LRZ-S=OgKdjYW#@5aY|3}xXVX%5w%ozCAT-)TXY4Vl-O0u)@jz*pD1LN{OgySf>XE34g1kXr9KITorWWp$=iA7|v+ zUtg7};bjine)YnJ)zMx1XB$pO6@Bk1b!4k|_o^jq6#r84WlZmft*{kjuS`#X9Ayz~ zJDc3*OJNj)Gxdq%PgYt}rOvGIYIF;T4oSYH=wXg*Dvt4pRsKA4l2_xvweBmfaT`I< zy+75$o)+@}VLk6=FvzbkpJ&P7t%Q0|8h55ZjO7J<+z7OA6)TW4qD=zCrfL+nZCM~l zU_Bg2GrNv5!-tJaW!0&#tUa!$*8Nt?-`kL8qS*8Nn(v3Wk?feXiCM$yNt{jB>MgTd z+uAc?IapB_V=R!fC(FkIl??8jJ<}SByBS(vyY%j#j$FT~;qEMcgSl!IZ1sBcqq11| z5;9Xe)Ky|k22aA~tv_?#KUN0wRkDd1BCk`iPe(2$WmY6RLnH8JpSs3~9b`4P@Ty_g zkAM2YAR8TjQ-(b!PqLS%xu@ZKYP6j`zt_%Im_*ik=gqfG1WVwyvo~8aO{0}ak+tHd z^A!x_xBEyC!PSl={=~AM{;+Ih+{(qHSIA^Wz2e~pTk{4_-p)=nyB2-e$=+&c0MxEW z$fnWh+D-u`*!2`Q!Ni8MAMt*W2yD#9TbDCGV_+w0)>+TA=Yj50?d¬TMw`jQ?(6 zSTovzC*JLx@0=4r;?z;rhGG-frnOK9idIgiJAJFFwPse07HSn{@MXL+u&D0^-tx80 zo4t(AwR!3={Vyi9VIe?Z%h^>8S6NY+;Tqdn&e|VqbNthjSbr$Nrl$ihcmP`mYk6&h z(phN23NL&zdho3uY_=uWJ*z_gimn-JVV%eoU4{8ifaZn{?MKp$+X`jJRT|k7u{YI)S^FA!Wr6p3-vbrczCJFK;2DJ>xZrB zs`$sFM@CktI&^+@MOzEVq%XvYI+@>E7_RYL>-^omx!upbTyE+lJ zN`A}sv70%f7On$nWI5Q8$n=V+(rgy;gA_+GSTo8~s|zC|!VI`{#_DHg*mW@uVevIA-zN849dsPz^skmm#BDY z%_rQ9J9CO#cI|d$`xrL={WD-o+DP8`eI~)T^NY?~6GW?c0$tG$Bf+UC}^R49?K3@I`!V`Q19CYgmrW-`z7xD4O**tOsNzQ4Wq_kG9l{q-Ghe{?K7 z>lyCnzVB-~&-2Rtf`>sBDOW3`vh!@)C&X=sw4J=g3c5zV6WBVNvaDLEszv(&iS%m; zD+_r;<9F0NZ-FMh!#+haTGk1txW4>A88~jfy6_G}Po|an8EF{Zoa|>}mzrx@(u;2* zTD8A#tyFlE6!m@t$E^4Mw#gc?H^=h3#bbQHAV6^x_0P<_v^NF_$^%6Ebm_L;=@~N< zyWINiqY~;aXyFlPtRx2B!ZSs&X9rw!KwDIoW1ha~!{$D;+TGRp5wqp#-gw~ldzYUK zwM$WE>sui~(Ko9`y#3Z;jTn;91Hnz)*x=lCw3_U2eq6C4$#Dq=-&_fONnD0UjDAS5qHP>DhTMBaAzeM@g6-OP_N21?7NWQK# z&xzTq%vi9}_>j3~1P@e_hKo$+KLgC%zvBPebfpZ%(otE-=VGO(Y+KXZx@)HtKtfhfbeX0H)Scn3vLS=-b`*Y z3QmeQRI5o<8aw|@=@s7f>&p)`bUqltV?F4Q_r_)S)RL)D>iaPRUJo1;hC_*+PWmMk z7L6>99MM+3x02Iy)S359muzWF*C#LvM5@+9NrQ%Bqq0yWN|s#E3MD?@RQ}rB z9VJoE{60#l5&GnEpO#J}qT^#O^?b1ld);Qx+Tc2tI#lo|hp!V5kM5z#qn|RAm4GXi zNHE%y8!cf|drw}uOlmGll{yY^zntb`D|w(W({Ia5gRXUq1b3W;(0WNmSWUSTa*f}q zNcD|pY&0e^0lC{r!zM~iOUm)@&P$!31~LIwvhTAqE*1KtwHB4CMv-wIt1jCgdUH&N zt1}P%0Nsci5FNP&kF6xw%Z&k|m_O)Fj_P9guU*}g4>BJcJC82;Y!Ky_egm87b{9z~ zDD~p%pC_*M<1!lVy`E)@p)pzEzG(+u4eD?V?J&a7MCix5MXrvOIfT3qM}x2hT~;Rz z@|&cO4b8+v_$zS`Dy71SLs4vefxDYL!*awsU+P)PZj?WZT1i~DyVvPj|7N52!(o)$EcE#xbwEgE z;g`%8E*)@CvSEIry+vGbG&;?MdZuY=0P=ZO2sjrIlM=BUR3&`;_JZWRlj-Y8l~Q^_ zma}cksY?)^vX_kct!gA;2uUDxmQ_d0F3|FuhiK}Zhu#Jx5nely7g~&RD89_qN((j3 z3j7){#Gw=RERQD3d+LL$Z2$&wflm6%x^V`}l24g<^)YT(Py_Y?6@U$3@%ExTfvB41 z^*-d7&6H^Eiezjw*E4hysN>KI=55uef2L>SWeXg~na&sZdsI=ZE@m!kv&|atOB6%;oOK z3G44S!MQNhf4c3$ZDa?%X{dMSj%QXWsnOP&U=sk5SnNmGry9@FL@OWfc*P{TtIdwq zd2P|G2Go z8Mp0DfUg>S%pX17uH0=QpY7OLz79kQQ9{zNG9)309F8!^=8t0cPhGU160z8^5{oZa`>?%flfe?S@1Es&=hqLAhRFcyb05m%Cm200n9Q$|IVRZwP{jTW%Ck5{pIBiN^ zBn^gl&wf6wTw_HTyrtIQ@*20c_Ionb7yq)(ULCcaB$kS2lj#psPy)ngHJHi?eNDA& z21o!|ae1!Y?JnkX^v^1a*?s)u9}DB%ZkQyiAFE*{90SKtyknQPUcbmE#NOn+V0$Sj zi>wQ*QpKLFb-^W`{P2oaqtsZ+&9&7O&D0E7CSR~w7)l#ZrzoDQH2Hzl4G^L7_bEr6 z?*gfV+)Ssr?FM+Qs=AkIGL}g!4G|CJJvx&rR2GDiaI-8&C81biwOhI7#_B?E=btmT8K`m_Ci zSSTH^)ajQO%JaDACHiso>|ms-E}qoP;}%Ol5~ue#aV|# zm+qwHeaRV&#s|$a>}7(K`gI^uSG1j5y}Jyo&HdDA4voFaKW*r=O4_%X#fkRz0~$CZ zLa{KkX2T$j24GX1`fkP&vb2*^YI$)ff$yvj=E;hc?5G8>3eOuG8z|o+@V#DCN3FAb zJp-aXS36e0pkfL-N*O=*Ie#XZyx*#~jPSNhH%q^ucpE+QhOv zWF1DI)zZ{npF(kf@s=^?n5+ZYgKtRFCX4J-B(a2hPcYVZ0ZN>my%&6mQA3nuA%f2a zJ0~b<_|+R>IGKeSIGutDjY>Nc$)9o5x2#|~!{nn9n83o|I}X>CD~@}u0D^cKmwwM{ zbqUN9xpqmV$>sE|uYoTr@*k&xf30VAinwt}yGX(t^90=;>$^w(n0~j1{1|JW z11YA_Cq-EKFc#VdAhKel+Ka`tpOK81INK^1&9~#RX#oU^6gCP(wxB68tFjS99Rku) zyW-fk-J^`_GW{3gtOG*qd=xA&qwv$JX84vE<*_>w3F8(|ZrV?$cMrI=@^s00p@RZ-*2HcMt z!JLl0V(ltA%m?JPS4~pzH|5L90>s_O)&sGFPf^Lw4!=?^zNjF5IL=` zmg$6qYN+gZGN{393)V*%w6$tRBCGp@)9vp<>Gh(wQpr4&3L_ALL9_%S`(k6OHkQ=d z8#8vl+bR6vui|ko7zziF%M2rzRXcU;S|!`c4p04vszf%xE|D^4q}=*t%sE&e8u*$} zP*0#wRHaK+Sr%kMc`6*?kQ`+X5wy^yMm3G!kcRy&>Uy18#9DcUE>xnwtuA}f7_NRx*<1%sJ}XG15Nl7d%Y zPq3PMsU?YhZv$3B40Plq2(Jf25%OYp@zM2{R!}BSRdgn4>AbDcPOSk_QoORzTY5~U zR@r;-fn>+5ljBF>4sU@+m6KBS(16Ei=nXNMXA1U2W+$DXDin0#>VWbzk&%yI}A=v_2H}6V;Byd0<%fD6n|=xw$TwhCkc})D^OJx=)QTi76P@)RQV1g zH&j4`@%ThQa})@UPH?1vfwO2=OXZ`^Z7PYx9~K;P02R3J8)e`k+;oVYP>!(7e2gew zL4nb~6_cD=nB`Hv5IY6^1;r6bBK6=nOg`VyqzZKsUZdtiOpIoIJ_==k;@1jRQ*K0Z zB1dfxzG%81k5`F2b@QS+jeLJ<=>Srqyd(aQe&-3EINW@bP26gNB@~;~7ANN6PaTL1 z7qM_U@f4Mbo!5Pn@_0oJBFGhtm|A&#f5zaltb)q6g9f3p1rc@jeF8^p%e z+7#Dbpe|)Sj8;}fJs!nQ*bZGVy{z0YTBzpv;NMGo+K}R3h42>JkCbS}-+uC>2fc$_ zm{vw-!}Pi+v-j5A2yrU7HsIm@l@kKKK$dG6#@_0ldW3gzgBM6^i5NYr;+4S)(;p%+ zXFsCvKwm0dV(TT68K$eyB|B>qG&fr1?h%D-NQn(j3#!>)MW}ZtuMfCrN#nBOxqUIeOE^|X_8OJ(L>z|O)71YjG4Pi(T-PwZ5)A8r@w|O zmd&>}7sTbpBZr`s_}vhUdrKTs_k*9yYX)4t%YtlXjotFaK#y zcPn^jP<&u-2sHgwE!`@%#30_Bz}UyDgS!(mw<-H;hd*WgXK3l}qcTWxtsUXba9^>T1GY`v z#2x4~SgoyZ6(Sx*|F0vqJ`M1~vUWLm$<7G$o<=6H9 z=I$Qp!R{G|e>&3pH^k}wMC)ttr;d&P_AY*Yn+F5KrtX(1^N**apn7r*uDgf( zpcC{z{KpF?LQM$)OZ?M8aEhZh;JO#wZNH=b@pRA@2p)tz`)K?B<~d>>!FB&TfPVsu z{CeB}9l*byVgH?hf3rlr|GR|$dXM|>9{ATQN$&q6BZ6U@DSmh7mw5(A9q5NdAUWK) zc7cHa)b0A17uZ)Gmv|N_J=bP@b>H2%FwS|<3$h^iw(Pvmj%R+XtswNukP|vz!g-EN zMRFWF=)X*dMx(=kbxf{)Jal+n@SDreCgm|5)VXfQmkudy{IbT!VtRVGx2q^UEq5_q zNL640dQ#}NS;L)_t})4M+$UY%SxDYWXmiOO5xSaO#3Zi9MOmBoZLo8x>W~7d`t$hu z2D(Nt!}TE5{8GPOQ}=We;KmsBYhQFR=4a_+MCxKko-TkwA^I zRT22*T>cu7|8&oE>A*en`*@k}&tLv!dj9k~I)30EMKWLI{Ui4I>EQkQ3Dx!?>6;(I zLG*t!)qb7&1Gt5ZL!UJM=DvQN^~D2tjLg&iwnMXu~a=8LxoD-@&Isu5hxMSu1^VIKi<9S%A-M}{^5d{NPR znn?-J6-v=(B*O<_J@WhR|LbMojc11PJU(kMV(SSjFB?OJVGv4(r=YvfDd?sq5F7cN z^{=PsQ7i>!_e=5~KF_VW`J5qf-*rU0;|c4D-@3&)&coOdj%V2Ret4mmpRe-yon#+j z^&J=G1C}r;M?$!)XL08PM2r#8d2a#>K4K3+U{h%qGIDK?cO*4}(MN#du`l(2NzLE* z-a<3Bgcszf#UW2#x20cv$ zftue24y#$4=0!ebaycgC4FPYx!&FzNfId+`@aB%4dwG;@nouHZ$?F*eHmfnh^#5c1 z*)gkGy)1z)2=RdCuQ>2L&&vDlR-l7`-aY;M1-8Q=qIj=o2)%Ll(S3Xc@#>O+XvN6hQap&`5$7si_|xI`#WxlH-GM z3U>&Dip+m(Bd@8TOBoABa^E>*rYGi?LW?f^^%Z0S0Bps^F7oF+*zMtw3-jAowFQ{I zzxP_6-P>>(H{uFpA1Czvq5s_53173+Y>^yG;3s1Wx>9trs-f;_POim#&oD`xswM{F z3lVi5t4RW+v&@2(#oyUzBaH8Mg3Bu-b#)W7>M#>1db_pfyj~qwADUGk=&bO1TFz$V zZt|=GWKJ!~)K89YB1Q^iX>9zT8uWb$m>^2D-99vwyn@WNUrQ7|J(BAQHNq)czlA(w zg$d2?fBC8ffnC}S0R&LbW4s7Y7i%2dfPkA33WaZia)g;RsKd`e({ucht1rJ>)Ov1# zoL5^)sv+TFCjQ-cyLsk1dhTdWhn*i_0XJ?!N0cxT)v=@s7LRhMUIdE>wLiLd52+;~ zqIlKjuRLB7b17{BM)OJ%gq_FD+bGlMccerC>)5Fh1Z76?H~qVM5P8JlMg*od7ZkZ$ zIA+i&EpPC^T$841YtLJ^Q`DO9hK<^v)fsKfvS}u33oebTeau9%;57g;y5nHEPslJb zvkL@OUadU^!0~BQ!>~Qn;s{dAetn@O0+LPPAZ~dm55K6hzAFlL$Af8nEkjT=EI zCR8-)J(MP;eB6IW#Rq1AMTxAqwlxjq%3@%5(R~EXl526G9{=U&*M6pGNj>NVgF@P@ zyFhP~8tCY8;|>d^3z{z6LV7}#ZeZSbLGH~u8Zb;`1WRov9zHV%FH;PGjyK-BF&V-l z>;{#t30dkL0LkCz$K{1KPB*;0S_5)SMZpufv*Xc2Oix!+PK zs#n+*-uuxvB16IxzE+SomR69m1muG8rG<)h94MCiZ;aG5ZjwtjMFC^J^Lm$zLN+xS zvV=adlOwem_k1D4{8T-U9aIkTAP*d+>;79Hi`s5Cs524=lMJO`PkNy4WsrT_UXhTU z!n1*}3hwldO1=BIQ~G;bW-Bq)UU@)E(c6WeJ$?O~iwxAP$>;84&S62i;%LTX==|Of zFOF%BOQw$ffF)uh-szxOav`|!Ua>yIu$yD5R?tB2Yf_Y4ir50@7wVO0VkS4jc(Dz@XLc_NzJHAqr0D3U+0L} z^&!=(;KRLWdktb{p`66s~XhjSk~06zR0eRsLK1bju1}e0c@t7PhIq6SXffT zcSIwCh9WY?j_4R>v_T2U?wss^S8kJ%eYovy6)wQvvYgNfsZdh%ehZ!8_D3C>q&=i} zY1gHBV?!YZMEA=(LOpd5q&FLDbpoyx4aeZF&!6+btmFq{IA4Lf*D(qk>KUZd+Z;6b z$z#j@=($Pmwqnvp6^w;;bgv_nh!UuC4Q5uI6kURpaNEjTHY%juIim1JO>=C$_z=Nj zhul}i7H#UA3o(sC6L4hn(4#|7rz5Nq5F7_0bWCJCx_eX^cnnz-J4tdIP}7fOY;z6u z!$?m~TvU(mXuo-yi_*2V*I%?YqvbanZujgvEyMv`!2`Ma9ACA*cofz9$sqh67if_= zkv$7OgCcP}W@2^4_S)2Sp>$_AcR@ zEPqn_6HB2a$*S4MTZX4pZ};!Muo@=?^-FYcHT_NkAD+v46U2>B2*N}8Hlaisi-%l) zUe7%S%NqG1!LOi576Gffw)rGF^(^WVq3!Tw9PKngG4xncbBx64#0?tO!}VuJD82*L zEC4ew(p#jdf4Lp4nE>j7iBmo{MR`dRqpxzruOp)Hb7Hdk({(aN*>72d(WzHDr;lB> z1x`;w(Ml4}CosX!kBt#^bx(Jz7ba@pBm?zmCrRwy;nwzfe_B}*{MT1JY8g9W9P#vRXNX+1!0{Q zYPhdFEvsAWlj?Kh`MCReT=&%*{1{i;lgFMlju&J_*NU!N4+AI1V}DgR*Sv1x8LEk0 zja5c5?3-zqWe6qewR`%fo*XJOzecehP`@52eLB(66E^sa2xEja3FgLbZ(@kEa6!EC z+eq!3CR@(zX@({!xld4p#wYD610~?&0Z>zrB+5#a_?BVtDiqt7^qLda~LKsYVv6pmVd92u*hgxJoEt@a6 zOMCNX>0{JN$OW=NvJEG`nfrDzR@=jRbYL5QlI|7MsTAMuJNlFJ)E6#|UO(YrooMz% z`g@8a>3&*4^@yNFh`s?gx=OX>5m=qGN3NxvJp~-FiT88L1C2@Yi7|1FDG7!<5Lq52 zX!K+iAQ@tsKyPZ0^MZ{u*yytYF79`UA}!5J$_#{&TSc}#hl^rjOp7YkJM}H!U9jUU zLgA`Um49DLTzrqwJN_M1(y3FX)Rm>N4R$+br4^MmExHN84#_cN1m>P}ki%x0PSQ0i z`t*8jOfOZUE5wF>BtK!Ki%q8Kedg15L5oH$Mx^N`JJ)aL$tj_{^V8oIcTl>KMFKF= zwb=8z@sU=|pAxvt+DjMwl<)i)d$J*Iy;`Lan~6~3;+Mu+gjO5_4xlni%+bNx**I2q z^a+Md<-(Z$!|NyS8j9G)k7%}JK<}q&6^+ze>sF5ZOAF_+Qx<-E5QNukW{`E=f4RjE z=wzY;Z3!L?QyB;?wkWUPmc^w$TR;0i2%4eI`#o#8C)!HXVe#ig$a%c4wK6*?3sPT{MY>jZt?|>q&Cq!A)qRdX5*E zL3E9kq~flO1#Nd?9Ik3!xGt$Cj^jA$^^ix#geCuzZLhi3MktKq<9ed-0`@@wE;!ee zE_808@2#AdbbW%J=8mUkS6!WxEZLE%2)QAwAVz|!d-#LDC+4;xg@a@)8d{W|F z=e_DrXk_)FIC+{Rv!Mpx-eyvnL^wfVX~ovM45ybqC-ybb zp=}j+wX+&K@JH2Q-ZXgZOyo<(A9vzkQox$$ugVlH|L}`aCns$SPh(cGvM`V5;yZqA zc>GoTCNzXu9H8N^PoiB?@v6~PeTC~zJ#cXqH|4jT@H)B8q1N$=5WDjo(V;_fiG%v2 zaYE2+;+;&4^6C-6WVvYOgY3{c#%iNpSG!DrQrTpMB6`dx@ z@0i>*e@~q_)`9Mq8fyjTyo47bkD7fEmw8RawYCx&JKQ91U>625^{rl&De{b!0!E|B_emGPqlc6dunZMLm`I7EzrnoJps(p43B4E2UcyI{_om)f-)xqz-J-9LF_$6T)?hlNQAo`)uQ9Ev z=#7)%nWv#esb*KAnV3Ba= zUNE{*w}s%&k3GxcK(}KjMixD%Zu3sMLcd)Xe3!aj2}EqeI#l@ zOpq{fTOXw!KQ9wE%dBSq3GOL7jO3dR?!fgEfeGC#lijSV6VQ|)P*J%>oV0fa?)E8W z#A&qYSYAGPN!{+ojhK2D+bM>RGkcDHDLK*bY}AIqQ|E`~%efHEg}xNFs|aQ}_9e%B z!wd3~WpQ!n#8yo7NfScIGtZ>+E`lNZjdi%QAZKd3)l%rNcV3R<8EU4YUCo_ix3Af} zar2>5Nj zNm|{m)uURoA~mp)oL($4y40k&Luys#Aa-y}lR{!hDi-gd!mKiB+VK&SS>bUqcPNQo z6Pw>3bd@qx%SwSisrgkwg}Qk@S+je8lg+EF$Syu?TI`M>g3&j3K28ae-Dr17$%KT) zIuW)JlTV71@ewHHUCL2$W6pfc)DlhTH}{fVk9{&QeAD)H@hxBFi(vD!RhQ&y@)1in zVso2VlIJR4W-+Mg;dp%7fD||OVAX2pmDP!U+)R18QRBHG-rL>bhFz4OSFsmH)z__h zr>?k!_Ts-r>3!$@J%OsGN!j{JrMW43T4pPCapXh{uHeJrB9kcQbPN*dby>m^LbT< z%^@-j!+JgI$^*Ke#O^c;NLEZ?HDAvKc1Y6PIHH!~spGKw&1(CPvpFjTdy{`~Dw>h* zJzUxl3S!FI^SgIONu?oug6`U*ir@1@xAv-a)0qV2#6QC;(+4+oTqpK31&;7$ukNcp zl2lRffPsxq=bJbdpg{f3=vkj30nkTqg4V=S&9+4stp)nF>Iuu+5wW&d)3L=z-Jt` z=7s_N(9OEE$Mm$0_jR0Kf4<%4HHIqddi%3 zUwM!9Y3;Aj@lsn)zYyLbuWY3w&rs5Hg*Y|eJnYcIGrvk$yqBY`N}Ncp&;dD!7nSxK zz#<6Ruerj=@%?Jrdr3WI975hx4^QXDjS=3JCv6DcSj+y+YJwTN*2SjK*Z3!0&1McY*nksNY_Q8Y0;c$QDl$6*al~hwbZxpsf~?u{bjAY z&h`naDZw;5{AL+OCB!*&WOT4=T|?h7=kx0CQ|dlq_I?WM@dT=uc1obXP|JuWA2>X1 z`Q>clqKe;*j`eAQCliwGYK^B%g1Z%Drt-VCnVj@yULtnLvnXR*RAy-?Kb(nlu+jgh zrCVOW^yR8%>4<`wn^6?o_Kx)%50f4Y-%ffg#6RLb(`;!!IACWjHFkbsKe0KTOuc=9 zSDSeRkZcl&W&o0zQ|AtVRN_^JoyXZ<$48L_ZpX(B%x_x+nRKxzY3!oGJZKkWXESCO zL1a>i+rK1cK3jw;F{U_b>tWUHYsKm7kIdH8lKDPK}SAN*|kvnS3 zZ9^caIVTf z=e=)wwID*c$~3gF?DCRRk;h}Lf!@Osg?R@9X7!pm*Jf!V>?@Moq%qMVmUwBbwcR(M zi=dMpTG?%PIY8%D1So$MyImdLb^V_n(KdO;VQv*fNHni>$18I*PHwgrFke$7*zM|h zV1n&cbmxtEd^qsy-hH}!KFebJrypnT$jsg5oj84s>iP{aRhIh1#6!6mmv}07USy}! z=MjiKwEc9YHM;a06|=-5eZ{o<#tCipPKUZ8tabNfv7;ydh{J@|Pz%XmsadC6vfWxg zZnL3K#{+@TW>{hz-h4a_Ep+?}gC09KDoe0}4{x8>g(!u*8-*;Ap*UOA_y;rDccgQT zohlJ^NtIv8J=FN_B9O6@zX6cEGqph0s!-cL^nr2yYa|hR<=j8h~Eer7iv5@i5!Mx5h={jUN zGvm({xP%}Bosh{XQb^p-v8X)kH(;dk;J+Rl1=aX;So#o1}^ zU5pOokKeCxj0!XIli5>BE%Vdj29viQdtCD7ou7|gz2o)`2Qv?=sBILKR1bLq<4?6* zp9?WJw43YAPWP~S?pdEOcc4Y?oP@>P#q)zGAKuQYG)$pek(p*-r}rZ&msM2bcN^|t zCa-z@?)lae^^Cjun5{%~?@M&pDm)*wYrHi86{~C7#V%<`D)-gATalK`07s}W|4Zj&tLS3 z*i59rXTsr+83l|tq^-^-{*9#y>F?~O? z;8zxJri46Ks?ZX1gwh+La^E{WjqwMq#M@7YM>*2+@Mk?WZQ~8(*#KOymd+r^M5OtW znGUmu*bhQpJJCl43Ld6K&b2dQvXbhGJTu^6r?a&~HDWb;(u8gtc_^2@GN{1CKpx%wP;r(`C;#-VzQ zOVR!f{Y7nrzLZKsON_G2s2M^tnHl#`+PJm1KQWW73|>)o16FudyfetLcFx+oOb1HZ zcG|Pm>@8zgUeG!Q*cn)~NG6MKjZw@5CFOmq&HJQhFgxte z$E+N7Clmtd>{!d1{VVeInYTh7Nx6^~uPV;ifVZpa!V!Co*MpjGTcZF(TQ}_;KJ?Dt zSxh!sC)~`#7SBa3IE&DAZ!G4t^zF|DnA63ixZ1JOwL@mZZ>e~xXki`_lX=6F+*#2pQ{KqSxxkuO88Ehe=jj-? z=kM5`m7kYKIKruk*11DvUMtWcZunh7MIAwjZ*1f~v&zxEfvH#Q*OjWKE|YwJXz3Ve zAqwN9H!|H3yLiR8HQ1Y+G8@HTY09W8AABUI$A0?9qeG)sQP7^@Le@&R>&2TrZ~RUk zCwElaG=rFnx>)+VfX@%bPis2f7MCp~bg#VDYI^$RN{ovEd&1b2KpID6n@QHJEkiaL z7)53}y4@<eM6cA?>A;@6?}PQsRACCQVAuJHG<{q$h7M8mk421v3EyECeMot@~`3-rJ%q$D)61^As~O;+tiC1DH@Ack8DjcPZk zQg9%Z(lQ2&ote*k5tbUyp0&%ZE>+p+U@L5@6Ci{B1IR*Y<{)FzJ@VCuZF)PBlN>pcFm;x20cyjAS$YE52yQdndw7Q*4;I( z6_1vo*4p*Xdg<~#dC+6lUb@w1uf!wKz>J36d2AJa=%GudhV1O~XDrea?={~+=9kst zoTz-}aeGTppE>5Ek?z(xhDjCk3!QQbvBH7}5~^#=y;|@41o+i?&cG`*I-EO?n3`o^ z$QY!D@~<){at#G3l~bV_JBGW-K_E>X znPaUHTARuA)$vKagu1WKaPzSPcMs=A#Gl(-%qd}orpapIjs_@>P)2`3Qd4!^)SU&j z3#+DAVnp}H9b4(FaDBD>iN7-68rsj9?$eH6AHF0@;Ff!&Fo!i$Yfn1d=B}dUIDgjJ z+g)`w!U-CHgmBbhc}wIi4oH+(K%q+4<*bn2`^4o6Rh)+Trdbgb10AMm-yhJAd@R*Z zMz7QKODt8MNEc|hHO=dLP{Vyt^p$Qv?E5PbR9_bI_x8yf>R;Dsb7&?oAS-G2?Hq`> z3uKM50sT-Kx##k>Uj6P>?U~+Pp1EoE)>n>@hhZ1OJeN~Q53&sJm^aLKuqYqzh?~;E ztCpLG-}(^OS||ay^L6d;nUN80f&FJ{Gxvu$@d9ih@Mh1?y36XgIR)eo*fEUdt59&>EMAL(y`zpWQv} z6xKl;{a8?lHuY*gDzhVRC|bYEb}D)a%xo&7+FRY8Nd3J1QU3Y3BdzB27Z=E!!#Q2T z2}AJ~l=l&@=Xpv5E?k0}{Js1M6r9|S`o8Qj=Ayh@60nl0^ztswd~Q@LXeFHStC-6g z(q%bKHLJUvig7j~JVxalX!7W{enV60Y4D-p<@vd&-I(N`Zn?6^~T1 z@(=}wmC@`Ls><1Ia@eflqL-Y_@8w%~!^;qc5a(_WsDSttHV9;%GmcC@vEo4E0(;xt zV&>mBwk-J=QIxUx!FM+gZ*6oQR6+7hQKy2HLe6}9#ZjGSVi3|XUi%(f*vC20I6;~( z0_u5X^H^gbJG5rcc}|LN?;hh+k>O z%NHn9d&GN%!#ejhJ4V4UkdcP%SM#Qc2+UDo(cCa0fv_!;+G7?&)Hr)>qA9# zvUvH&the`ICX~7r%Uvs!ilHZNRb5(MEE=7(j&}F&T*Kds}XzFfy(1=B)bokPGE!l94=}sHZSfJHF@6%gq18!O&YXLF4 zAC=}B>eyNO6cTgO&Z7Z>g=}mTW9I>acs3edLDp5oJ0L->3$ zT{0QYGe1P8gT_-PgZdPk&t(!3YUX6?fb#Q>(zOq4#nS|r8hZN5{=r&k8bOM@zSAbR z_o1ogjg^D=BdY%VkML&AgrLF0WK^G?py=?D`^n8E*<|azj`ie&Efc9{=4c%^bz`Nz ztnJ4$W=1lsSQ0zzs%`*{ZJ1+v3>(?1Qry^D3xpK|nq2!dejn$^t0Gv!AeQ;Gau)tr zQXP03+GgTI(joc%X5_@HBKPJvxW*3Z6qi)&v!tPjclEbW5iez)pTyjgH6~6dEa#J&-aAP`@Te9Mr{Qx)(nT~ z!UxaIQMrlePmjA`h>3*)5jiRCvmj zuD2s?h4Gr1QS(b7IviI{j zj*^sjdd>}>C&NhCY2*Bn;|aJwH67kxbf<_JK}frYUKPa^Z+mz9{Y zAOU%zA?3CRf1~F$ywmjzWBKRC6Q@~~{flQU{1upE(+}2k92{-=G~CgoHb&Y5wE2X# z(_*LET+V;Fcm%Q}Dl2!bZoHp68W5l%#~d5Aif5mg7v6GyCRpKMH(7lI6u8aXli~2T z+`6;m>ag30R`n~~&_sFQOAO9z0LDqH*~K0O2^>F+zrpGJT^40IuBFIp&U zy_UZipRFCpNY2Z4P4>{G%YSpg)+;rp#Itji%jlaQBy; zl>h!(a>m~w82h*{NA_=@3-0p}%Wj^7yu}7Tjq;x^@vnEvPDFQ*oQwvof{OI|*&~RMe0thp*`xyYx zb>daV>c8gE9~0`254Y(6-R*4>__wc6&P%QxW<&c1eKLq}{N;EdC-Z&?{^j|2^g=}^S34stGfshX&VM#&~1Phu#0I6Y^L0>gv9>$o2FDg}qvHE<*+*np&89S(*UMa@} ztO0z@!`DQVXDrJ6te1uH@7$ED%?eWkrUpz6m>MuOU~1q*&;Z45JfwtJFKWzpQv;?3 z{_izF{=tneDm{8RB1-N$@GTEdsU4^P;=s?y0ldzwmma+w5hWKz87_*Y5Ct7EK!{_# zn=Z%Fqn9J16ygkoI0OC8pc4x4yQ7?&U(UcIO7q>+fT@904It~YX)J==uCYNDM1t2? z5C7cH`k5D7cK3%{TYZDkKE{r$|LDv|_h%#Fi%FEa7rJiBEHSXFy0b6bKfpT(BUEJQ z)lg?76by%U;+5nQPQ^Y4u*W^jhrN#CtB38xrwZXK!fOJUl?e3?YXiN(a4$+6>KzCM zv}je;E08x~;-tx^NRmaeOtE~vb60q{GwO{FYR%rr*>twS8{O5bf9?v0gYnPa-c14j zaF05pB^-)+10jEe3kQ6DykuKvN1L2Ui$sf_M>`|v_sKhmW;n0SN zpW3_o!ok7*kk+FX^m&7QgF$c9zbY8)3|!#XHb?#EN9og6EgXrq@C!EwP?qX?RCQ4E zpXEn^z>vQc#WWS<`xNU;*PM9^m(;CTH9BSLG__#5#j+K39f}5a1pJYW!vSA(*A}nV z=MVV;p`G1B0WHuQ^mm24{r-ZyHd!83r%sz@zM{fXDXW^?buJo&5M6Ak zmQFN_jI5j(&U|O;k78Jd*mXbPnBnomY#l zAMl69detgPTc~A~&*%3^b3Bxv!()!8N_>zp);icCjI14O8;*|wwwqnWu3^`*TiIRg z0d|l*$$rUx&7Nm3uou}8_8R*gdxO2r-ed2xzp)PhzykT8fE{K-36w$^RKQZGfm*18 z6|frGpaa&xde{tG;B43iKIn%KoCguu1DC<&@FlncZh~*aez*g^2lvB6@TBNiUd+PR zi1XMx{1iWBYvJ0EKEm_5)7hzW^^CU9$W9L{!Z=TzVJ)6hzMyK^X)ELZ*Q9@?!P*i{ zj9Zm38*WZ9bK$l;YAdumX3nxWH=?2W&mYh3)lL|3^EUPRnG7U79 z07fXo@ehSJ41}&;E)g_!0XzOoC}p2o5L$Clo_D%!dU~2@BBx>!ATogBEUt z?XUsPf-cwyo1h20(1(WTM?)MyL)0J&d*Nc(2baL5a1~q)*TGlediXlr2HzEC7dOU^ zm>G%^?#|vA$3o}fkDqFH{5==RSP0Ek(hy3;>^aM!lN3^ok8Pfr8Zb3rYQWThsR2_1 zCyfTCuA=%@~$!R!TP6cIox;!IB!^yOe0MLByE(n7NCOs(6DzeE2Y~dV1VC^ol*%BEB ziGsdHHh?m(sgM&uncr%$oCwOiszx?~GOuiq(}8khlg*YyRvdMxSIyX~1WcCFkcmoJ zX$PxhO{|S=#ZeMs!$`_kBP-v+?nF5GA$yEHgMe~~{R&z6FtYON$jX0Y@3McfPY_fX z$Y2Egy)IFNjg%_#zK$6$a20DEwubIu}}jd&#SDiUGDi*5LwO=k%?ZN zZf6M*vMOL!E^}gj=b)qlXIp2PbAcqOd7PLRE^^8Vki2B6oCwKv^|G7*$txPMRX{Rv z`>JMaWjq~~#uUdj#Qp4E_6Qo`OY9Xiy*Jrk(D?qzK7ola6%Ef0vp6Ns<&<23luV{a zlq}4TQZ;8nCuiht*bcp%k#|5CO^_IQ5H5ld&d8S`BVUUqNsN30d@IQe(=l>JGaRGi z*A86#*ju+}6N>u7F)q$t#z@53Iq@VG&SyI?Fz&<@xk#1kf${_kjMcSEk5f8%oaZ%! z!-@M2pf1O|ax4hm6HCJ#Nk|tfQ>-0pI-JVd+2DVweqOtU(yvy5qF z`Yva&RY{GO)KXGxwI)SN`WmI&I)5y!%xfx@MPq4YeyeI_X+m0=SJf)@hO{!TT&^@G zrIqQ%S&k=|(OEg!64uJrvF$iu_F%-k8KdQc>>>6r z`#ENo$yL3Lj_L#U4|G-^K^{!Nq~2sq>)A1zTn_VioNR)X;K5At>97vYz*HXPlFz|Z zp2#OtlpIFqv=1ZYWthUFNcj!81@6Q+`4~J7Pr#G#EW89S!zla~-hj8^Pom55*tstD z2%?1du^iu=V-fS3^ychp?`T(*(@$J;KFk+J(1vY=?y~uOvE(?1R?0mWITcrS+2>h~ znRZu+t5grIbgGoQ@+q{A^0snUB@e9hwTl+J6g{xg>Czg-rDvb%w7x-6^uS7|jZN4p z0xSR47T0Q=!PZHXeUAOhbG6z-n1p^4E%sxa(@nTM>!^)>(EM9@wr?Zu6a<( znZhaAsTafPxqLclvAPYR$` zoI8gN`@_XLGtnlkJJXsiU!i5%NgGsi(19V))?V>6Df&}6B>dJ~`Zcz?b`(EoGyP!p zevmxY>=KttUxlO7{JH4uXcdl5D&}Gvt-{gCvHC%hZEis?83T-%F@0Kokf4H=-p)a& z5Pp!>fOGMK51|))G$%ipgB>UM#**hQxpGBrqhJg|jvRxu!G|__=s%G|&y)OWhFvlz ztuM{++y?&%r5B=(Gf89w7CQoqTUi@NgxvCVDI{|2kdk(e8J~Qo;}#_cZlUck1POMB zJ&9YWRw=f-Q@6wL>x=EBN!ww#K)F35x7bs;#h#8^?5W(s@9eQR(=0NHUBpuq+uMxW zVQ9S3G3NPrn$OARvU*%D??TcKvwfK6yB&e$arOiz_g==`2XC==*oW-ncv{bb8(^kj zhQ)=cy%J3ARq>q%%Q2z1foD{@aPvzqCiMKU11Eu$Ng2jTAWi?SfUn>L@Oqr~-NrY; z+zSWbLEHrMFgyd#!wc{tyaunsAK)E$SM)SK`AY#7zRzrIJ6TTrFE;Py;VozjZ4MqN znAJ$J{ZFC2GDES&_&u5H6Ocb45l&E?Iz*^8{Se{Trw$P=U>G92#(?%*)HpC8528XCp-lyyh6u{(g7>e!$WGIXILP z+D}3=&m06YVLk={RhfIj2LS`^S1eju-`M<_(mqWJ9&eYs{EdiR|WfG=H@>#xiw?SOM3h_v-{=ym=Re286Ur-g=ye

    8lBme*a literal 0 HcmV?d00001 diff --git a/simulations/code_sim_compare/CL_sim_apply.R b/simulations/code_sim_compare/CL_sim_apply.R new file mode 100644 index 0000000..f6ebdb7 --- /dev/null +++ b/simulations/code_sim_compare/CL_sim_apply.R @@ -0,0 +1,87 @@ +##################################################################### +#### Compositional Lasso on simulation results ###################### +##################################################################### +library(FSA) # for se() +source('cv_method.R') +source('getStability.R') +source('cv_sim_apply.R') + +dir = '../sim_data' +dim.list = list() +size = c(50, 100, 500, 1000) +idx = 0 +for (P in size){ + for (N in size){ + idx = idx + 1 + dim.list[[idx]] = c(P=P, N=N) + } +} + +########################################### +#### Independent simulations ############## +########################################### +files = NULL +for (dim in dim.list){ + p = dim[1] + n = dim[2] + files = cbind(files, paste0(dir, '/sim_independent_', paste('P', p, 'N', n, sep='_'), '.RData')) +} + +results_ind_compLasso = NULL +for (i in 1:length(files)){ # parallel computing not working + print(i) + results_ind_compLasso[[i]] = sim_evaluate_cv(sim_file=files[i], method='compLasso') +} +save(file=paste0(dir, '/independent_compLasso.RData'), results_ind_compLasso) + +########################################### +#### Toeplitz simulations ############## +########################################### +## correlation strength +rou.list = seq(0.1, 0.9, 0.2) + +files = NULL +for (rou in rou.list){ + for (dim in dim.list){ + p = dim[1] + n = dim[2] + files = cbind(files, paste0(dir, '/sim_toeplitz_corr', rou, paste('P', p, 'N', n, sep='_'), '.RData', sep='')) + } +} + +results_toe_compLasso = NULL +for (i in 1:length(files)){ # parallel computing not working + print(i) + results_toe_compLasso[[i]] = sim_evaluate_cv(sim_file=files[i], method='compLasso') +} +save(file=paste0(dir, '/toe_compLasso.RData'), results_toe_compLasso) + +########################################### +#### Block simulations #################### +########################################### +rou.list = seq(0.1, 0.9, 0.2) + +files = NULL +for (rou in rou.list){ + for (dim in dim.list){ + p = dim[1] + n = dim[2] + files = cbind(files, paste0(dir, '/sim_block_corr', rou, paste('P', p, 'N', n, sep='_'), '.RData', sep='')) + } +} + +results_block_compLasso = NULL +for (i in 1:length(files)){ # parallel computing not working + print(i) + results_block_compLasso[[i]] = sim_evaluate_cv(sim_file=files[i], method='compLasso') +} +save(file=paste0(dir, '/block_compLasso.RData'), results_block_compLasso) + + + + + + + + + diff --git a/simulations/code_sim_compare/block_results.R b/simulations/code_sim_compare/block_results.R new file mode 100644 index 0000000..26e98e1 --- /dev/null +++ b/simulations/code_sim_compare/block_results.R @@ -0,0 +1,75 @@ +##################################################################################### +### run all methods on simulated data with block correlation ################## +##################################################################################### +args = commandArgs(trailingOnly=TRUE) +print(args) +dir = args[1] + +source('cv_method.R') +source('getStability.R') +source('cv_sim_apply.R') + + +library(FSA) +library(foreach) +library(doParallel) +numCores <- detectCores() - 2 +registerDoParallel(numCores) + +dim.list = list() +size = c(50, 100, 500, 1000) +idx = 0 +for (P in size){ + for (N in size){ + idx = idx + 1 + dim.list[[idx]] = c(P=P, N=N) + } +} + +## correlation strength +rou.list = seq(0.1, 0.9, 0.2) + +files = NULL +for (rou in rou.list){ + for (dim in dim.list){ + p = dim[1] + n = dim[2] + files = cbind(files, paste0(dir, '/sim_block_corr', rou, paste('P', p, 'N', n, sep='_'), '.RData', sep='')) + } +} + + +################## +### Lasso ######## +################## +print('Lasso') +results_block_lasso = foreach(i = iter(files)) %dopar%{ + print(i) + sim_evaluate_cv(sim_file=i, method='lasso') +} + +save(file=paste0(dir, '/block_Lasso.RData'), results_block_lasso) + + +######################### +#### Elastic Net ######## +######################### +print('Elnet') +results_block_elnet= foreach(i = iter(files)) %dopar%{ + print(i) + sim_evaluate_cv(sim_file=i, method='elnet') +} + +save(file=paste0(dir, '/block_Elnet.RData'), results_block_elnet) + +############################ +#### Random Forests ######## +############################ +print('Random Forests') +results_block_rf = foreach(i = iter(files)) %dopar%{ + print(i) + sim_evaluate_cv(sim_file=i, method='RF') +} + +save(file=paste0(dir, '/block_RF.RData'), results_block_rf) + diff --git a/simulations/code_sim_compare/boot_CL_testing.R b/simulations/code_sim_compare/boot_CL_testing.R new file mode 100644 index 0000000..7d66e92 --- /dev/null +++ b/simulations/code_sim_compare/boot_CL_testing.R @@ -0,0 +1,31 @@ +######################################################################################################### +### This is to use bootstrap for testing on compositional lasso ################# +######################################################################################################### + +#args = commandArgs(trailingOnly=TRUE) +#print(args) +#dir = args[1] + +source('cv_method.R') +source('getStability.R') +source('bootstrap_test_compLasso_rf.R') + +dir = '../sim_data' + +toe_lin = boot_stab(num_boot=100, sim_file= paste0(dir, '/sim_toeplitz_corr0.5P_1000_N_100.RData', sep=''), + method= 'compLasso', seednum=31, ratio.training=0.8, fold.cv=10, + mtry.grid=seq(5, 25, 5), num_trees = 500, pval_thr = 0.05) + +save(toe_lin, file=paste0(dir, '/boot_toe_compLasso.RData')) + +block_lin = boot_stab(num_boot=100, sim_file= paste0(dir, '/sim_block_corr0.5P_1000_N_100.RData', sep=''), + method= 'compLasso', seednum=31, ratio.training=0.8, fold.cv=10, + mtry.grid=seq(5, 25, 5), num_trees = 500, pval_thr = 0.05) + +save(block_lin, file=paste0(dir, '/boot_block_compLasso.RData')) + + + + + + diff --git a/simulations/code_sim_compare/boot_RF_testing.R b/simulations/code_sim_compare/boot_RF_testing.R new file mode 100644 index 0000000..b388b87 --- /dev/null +++ b/simulations/code_sim_compare/boot_RF_testing.R @@ -0,0 +1,32 @@ +######################################################################################################### +### This is to use bootstrap for testing on random forests ################# +######################################################################################################### + +args = commandArgs(trailingOnly=TRUE) +print(args) +dir = args[1] + +source('cv_method.R') +source('getStability.R') +source('bootstrap_test_compLasso_rf.R') + +# the function boot_stab is probably upddated to be boot_stab_sim() now + +toe_rf = boot_stab(num_boot=100, sim_file= paste0(dir, '/sim_toeplitz_corr0.5P_1000_N_100.RData', sep=''), + method= 'RF', seednum=31, ratio.training=0.8, fold.cv=10, + mtry.grid=seq(5, 25, 5), num_trees = 500, pval_thr = 0.05) + +save(toe_rf, file=paste0(dir, '/boot_toe_RF.RData')) + +block_rf = boot_stab(num_boot=100, sim_file= paste0(dir, '/sim_block_corr0.5P_1000_N_100.RData', sep=''), + method= 'RF', seednum=31, ratio.training=0.8, fold.cv=10, + mtry.grid=seq(5, 25, 5), num_trees = 500, pval_thr = 0.05) + +save(block_rf, file=paste0(dir, '/boot_block_RF.RData')) + + + + + + + diff --git a/simulations/code_sim_compare/ind_results.R b/simulations/code_sim_compare/ind_results.R new file mode 100644 index 0000000..08c4b74 --- /dev/null +++ b/simulations/code_sim_compare/ind_results.R @@ -0,0 +1,101 @@ +##################################################################################### +### run all methods on simulated data with independent correlation ################## +##################################################################################### +args = commandArgs(trailingOnly=TRUE) +print(args) +#dir = args[1] +dir = '../sim_data' + +source('cv_method.R') +source('getStability.R') +source('cv_sim_apply.R') + + +library(FSA) +library(foreach) +library(doParallel) +numCores <- detectCores() - 2 +registerDoParallel(numCores) + +dim.list = list() +size = c(50, 100, 500, 1000) +idx = 0 +for (P in size){ + for (N in size){ + idx = idx + 1 + dim.list[[idx]] = c(P=P, N=N) + } +} + +files = NULL +for (dim in dim.list){ + p = dim[1] + n = dim[2] + files = cbind(files, paste0(dir, '/sim_independent_', paste('P', p, 'N', n, sep='_'), '.RData')) +} + +################## +### Lasso ######## +################## +print('Lasso') +results_ind_lasso = foreach(i = iter(files)) %dopar%{ + sim_evaluate_cv(sim_file=i, method='lasso') +} + +save(file=paste0(dir, '/independent_Lasso.RData'), results_ind_lasso) + +######################################################### +#### Lasso with default lambda sequence ######## +######################################################### +print('Lasso') +results_ind_lasso = foreach(i = iter(files)) %dopar%{ + sim_evaluate_cv(sim_file=i, method='lasso', lambda.grid=NULL) +} + +save(file=paste0(dir, '/independent_Lasso_lambdaNULL.RData'), results_ind_lasso) + + +######################### +#### Elastic Net ######## +######################### +print('Elnet') +results_ind_elnet= foreach(i = iter(files)) %dopar%{ + print(i) + sim_evaluate_cv(sim_file=i, method='elnet') +} + +save(file=paste0(dir, '/independent_Elnet.RData'), results_ind_elnet) + +########################## ######################### +#### Elastic Net with default lambda sequence ######## +########################## ######################### +this cannot be done, as Elastic Net code requires lambda +print('Elnet') +results_ind_elnet= foreach(i = iter(files)) %dopar%{ + print(i) + sim_evaluate_cv(sim_file=i, method='elnet', lambda.grid=NULL) +} + +save(file=paste0(dir, '/independent_Elnet_lambdaNULL.RData'), results_ind_elnet) + +############################ +#### Random Forests ######## +############################ +print('RF') +results_ind_rf = foreach(i = iter(files)) %dopar%{ + print(i) + sim_evaluate_cv(sim_file=i, method='RF') +} + +save(file=paste0(dir, '/independent_RF.RData'), results_ind_rf) + +############################################################ +#### Random Forests with Janitza permutation method ######## +############################################################ +print('RF') +results_ind_rf = foreach(i = iter(files)) %dopar%{ + print(i) + sim_evaluate_cv(sim_file=i, method='RF', method.perm='janitza') +} + +save(file=paste0(dir, '/independent_RF_janitza.RData'), results_ind_rf) diff --git a/simulations/code_sim_compare/run_block_cv.sh b/simulations/code_sim_compare/run_block_cv.sh new file mode 100755 index 0000000..55e2956 --- /dev/null +++ b/simulations/code_sim_compare/run_block_cv.sh @@ -0,0 +1,27 @@ +#!/bin/bash + +#PBS -N block_cv +#PBS -l walltime=500:00:00 +#PBS -l nodes=1:ppn=10 +#PBS -l mem=50gb +#PBS -V +#PBS -j oe +#PBS -d . + +set -e +cpus=$PBS_NUM_PPN + +export TMPDIR=/panfs/panfs1.ucsd.edu/panscratch/$USER/Stability_2020 +[ ! -d $TMPDIR ] && mkdir $TMPDIR +export TMPDIR=$TMPDIR/sim_data +[ ! -d $TMPDIR ] && mkdir $TMPDIR +#tmp=$(mktemp -d --tmpdir) +#export TMPDIR=$tmp +#trap "rm -r $tmp; unset TMPDIR" EXIT + +# do something +source activate r-env +Rscript block_results.R $TMPDIR +source deactivate r-env + +#mv $tmp/outdir ./outdir diff --git a/simulations/code_sim_compare/run_boot_rf.sh b/simulations/code_sim_compare/run_boot_rf.sh new file mode 100755 index 0000000..1ef8143 --- /dev/null +++ b/simulations/code_sim_compare/run_boot_rf.sh @@ -0,0 +1,27 @@ +#!/bin/bash + +#PBS -N boot_rf +#PBS -l walltime=500:00:00 +#PBS -l nodes=1:ppn=10 +#PBS -l mem=50gb +#PBS -V +#PBS -j oe +#PBS -d . + +set -e +cpus=$PBS_NUM_PPN + +export TMPDIR=/panfs/panfs1.ucsd.edu/panscratch/$USER/Stability_2020 +[ ! -d $TMPDIR ] && mkdir $TMPDIR +export TMPDIR=$TMPDIR/sim_data +[ ! -d $TMPDIR ] && mkdir $TMPDIR +#tmp=$(mktemp -d --tmpdir) +#export TMPDIR=$tmp +#trap "rm -r $tmp; unset TMPDIR" EXIT + +# do something +source activate r-env +Rscript boot_RF_testing.R $TMPDIR +source deactivate r-env + +#mv $tmp/outdir ./outdir diff --git a/simulations/code_sim_compare/run_ind_cv.sh b/simulations/code_sim_compare/run_ind_cv.sh new file mode 100755 index 0000000..8a56572 --- /dev/null +++ b/simulations/code_sim_compare/run_ind_cv.sh @@ -0,0 +1,27 @@ +#!/bin/bash + +#PBS -N ind_cv +#PBS -l walltime=500:00:00 +#PBS -l nodes=1:ppn=10 +#PBS -l mem=50gb +#PBS -V +#PBS -j oe +#PBS -d . + +set -e +cpus=$PBS_NUM_PPN + +export TMPDIR=/panfs/panfs1.ucsd.edu/panscratch/$USER/Stability_2020 +[ ! -d $TMPDIR ] && mkdir $TMPDIR +export TMPDIR=$TMPDIR/sim_data +[ ! -d $TMPDIR ] && mkdir $TMPDIR +#tmp=$(mktemp -d --tmpdir) +#export TMPDIR=$tmp +#trap "rm -r $tmp; unset TMPDIR" EXIT + +# do something +source activate r-env +Rscript ind_results.R $TMPDIR +source deactivate r-env + +#mv $tmp/outdir ./outdir diff --git a/simulations/code_sim_compare/run_toe_cv.sh b/simulations/code_sim_compare/run_toe_cv.sh new file mode 100755 index 0000000..3f4ed44 --- /dev/null +++ b/simulations/code_sim_compare/run_toe_cv.sh @@ -0,0 +1,27 @@ +#!/bin/bash + +#PBS -N toe_cv +#PBS -l walltime=500:00:00 +#PBS -l nodes=1:ppn=10 +#PBS -l mem=50gb +#PBS -V +#PBS -j oe +#PBS -d . + +set -e +cpus=$PBS_NUM_PPN + +export TMPDIR=/panfs/panfs1.ucsd.edu/panscratch/$USER/Stability_2020 +[ ! -d $TMPDIR ] && mkdir $TMPDIR +export TMPDIR=$TMPDIR/sim_data +[ ! -d $TMPDIR ] && mkdir $TMPDIR +#tmp=$(mktemp -d --tmpdir) +#export TMPDIR=$tmp +#trap "rm -r $tmp; unset TMPDIR" EXIT + +# do something +source activate r-env +Rscript toe_results.R $TMPDIR +source deactivate r-env + +#mv $tmp/outdir ./outdir diff --git a/simulations/code_sim_compare/toe_results.R b/simulations/code_sim_compare/toe_results.R new file mode 100644 index 0000000..e9102e5 --- /dev/null +++ b/simulations/code_sim_compare/toe_results.R @@ -0,0 +1,74 @@ +##################################################################################### +### run all methods on simulated data with Toeplitz correlation ################## +##################################################################################### +# args = commandArgs(trailingOnly=TRUE) +# print(args) +# dir = args[1] +dir = '../sim_data' + +source('cv_method.R') +source('getStability.R') +source('cv_sim_apply.R') + + +library(FSA) +library(foreach) +library(doParallel) +numCores <- detectCores() - 2 +registerDoParallel(numCores) + +dim.list = list() +size = c(50, 100, 500, 1000) +idx = 0 +for (P in size){ + for (N in size){ + idx = idx + 1 + dim.list[[idx]] = c(P=P, N=N) + } +} + +## correlation strength +rou.list = seq(0.1, 0.9, 0.2) + +files = NULL +for (rou in rou.list){ + for (dim in dim.list){ + p = dim[1] + n = dim[2] + files = cbind(files, paste0(dir, '/sim_toeplitz_corr', rou, paste('P', p, 'N', n, sep='_'), '.RData', sep='')) + } +} + + +################## +### Lasso ######## +################## +print('Lasso') +results_toe_lasso = foreach(i = iter(files)) %dopar%{ + print(i) + sim_evaluate_cv(sim_file=i, method='lasso') +} + +save(file=paste0(dir, '/toe_Lasso.RData'), results_toe_lasso) + + +######################### +#### Elastic Net ######## +######################### +print('Elnet') +results_toe_elnet= foreach(i = iter(files)) %dopar%{ + sim_evaluate_cv(sim_file=i, method='elnet') +} + +save(file=paste0(dir, '/toe_Elnet.RData'), results_toe_elnet) + +############################ +#### Random Forests ######## +############################ +print('Random Forests') +results_toe_rf = foreach(i = iter(files)) %dopar%{ + sim_evaluate_cv(sim_file=i, method='RF') +} + +save(file=paste0(dir, '/toe_RF.RData'), results_toe_rf) + diff --git a/simulations/figures_sim/.DS_Store b/simulations/figures_sim/.DS_Store new file mode 100644 index 0000000000000000000000000000000000000000..5008ddfcf53c02e82d7eee2e57c38e5672ef89f6 GIT binary patch literal 6148 zcmeH~Jr2S!425mzP>H1@V-^m;4Wg<&0T*E43hX&L&p$$qDprKhvt+--jT7}7np#A3 zem<@ulZcFPQ@L2!n>{z**++&mCkOWA81W14cNZlEfg7;MkzE(HCqgga^y>{tEnwC%0;vJ&^%eQ zLs35+`xjp>T0F z@Oj?%z5f6Et_!Z2*=O&w_c>?X>t1W^brwifN`{q#jSCADuoSQyFcdJV>x9KY!%kyw zY=tExgawv#f*QG4+S^GPxj<OW3Me;Y=BW} zG_p=c4i=Us&NM2nE)K3Pz%W%Ods9~vs1x$&OEw-h4xsIBE_-AXBbJB=7SzrZxeCtz ztcC{s+S36_1C}&$F|x5Yrva-PnM0jvUIHD|X#P8Z_y0El*$>&<32Nu^Pj|4Sy`2m2 z)0u|vZa7#C>TK`oWCEOz>;H2;WQTumha%L@+{J>1gNKusn+7anY2yN10$9cdxI0o% z6MIuAa^cP{z)iEo@<^Tag+$Z!InLhPMCivos$nuXnT(4;e+V~BL2t%G528{>g+^H( zWAPyN_3+nIyFc%xr)w(B_h~B*k&qH4(`R#5aUS7oQ{CKT2_a_MZ*LYweb49HkLp>@ zM|DnadoQ(4Lq&nsHX+22CYAlnjaJ!1=p+ojWU14kpEdxsJrNm z>L7h$DB`Tk-T3yB7hLXtyzO5-w!3(HbD(mIC>KJUQTMjbXWZWGhA!pZwBwc$-xPhF z>@yM0*zQ|y6@}?jUwJTWAJ$Kp(~ zC8uVV1*C2dL+1|yYHgyoMW|`gs5WMnEAuhL3NTJjD$f3(Sa=)SM9VUqr<;o6+eIEn zA9?J=<8mHC^h%07-nsZ0>rp{eRNf7$=<3%fwu+WQDzP>S)n`>cPuXO~|8(`X(NQCF z@iNq-u8XBY5vJbgvyxlB_w)4YICXR`VR!LQCm}X&Mr;Amkr@+tIDJ~iB#$-x7;|_t zyei#px46Xjq|IEtR^UpA=#3-u#Oa@+`J00Yf1Sab)wldF4I(TSWUj;?fMQF9-Q7=F$5tM{flZrlodkQYb1 zUta4sIe%g(uc9v6lI!cw0#2;ng%@n9#wp*mnA9|0tI22Ftcj@ooATCWy0NmdQM$f{o?ZmDm4IUG>r z^MhQOrWNC;OYCn$3l^`Q>8;UJF+s5`_9M$0iHMA*EmhEwvX zVUTBtvj;@h4J~%Bz9`(bAXyFdRmnw6J%%vcUBefQhVl-ewWwh~PEdFVzd_*NTQWDY z*0B^>WQ{gC;aKDo?bYEg>I-VNQ+-hLdP6*CM8>MYst ztbgV*O;Hk)np1{C!c=r)S{7P!cnza=9Yp{5D)Unfy_Mp+rWmC(!c^-aSdvuli8yMG z2Nh%68ev*X(Xxm$X+J;jxIgu1Pq6WQH^=3BxkDK$i{@*L=?y9g@`F4^Q)y{je8#yk z$#L(1Zb5-?h7_NrKwxRC*B#^3UD^g+7bkh3q)OrxjhFr%I&Qu;1$L?0XsZ@=l+I-< z)Ee57#7~ZXj4Do1_mNeaaFb|x27Mo804^`j=7%pt^cw}Y@Fz7K^8AMb7y9F@!-2hU zJnByhaM*ept7Fuy4Ca)tDRU6em{HG=;yC|Pg{JGb04$IUhwIC=Sc(otHD;?dS!J%- zwknoYz3Ho~gfkmTCSZlxcW2L{Fpn;L^2bXohbs2CzpyKq=UYKO48-lNn3p*b4;rTJ zC8+9xfx7A0dd+?tgj%Wf60AKulg{YlN+IH;&qQk%inXNERcRqx;`HXJ|}%kE>U z0-#`9@bQRH)~9DLG^u6?8Uzk;s8SO#*+#_JOnko}FdE-qZZ+TI6vA-V>FdpqY^%ZS zo+3;*pb~$v8Y^}}L;u}bsTcRG=7r`iHq*qHFWH>m?nF!_;a1FE)gX;m?0u+8INjfX2%0ro%%uL{~4NLTgUcH^TW~taWbm zk1s;|&V5wTQlE0+5=V|uQ83`$F!ZswWKv+SaE=R33%#tqg%>xMc(b4y zqqMhU00-&wB^+4C7S{^e?(SPwjC1P4Kq5XSWAN~nGBV@ zmwlv=9$WS((BCh{cMZ2Pd-@N4vXftjY&Q@d$1zONwDJI%!e1pDMJ$JPePlBn5N@x^2ojw$_g&0}1Wyb4@ik!y!=u z=xbtr3=~`L_<@4rCM_x`xCC-R{8h2g5YaM zM~pAL^O_Z1m+TJ(RAn88VxumEV+c8NVFYAn-1b`BDZ;0(I!q1BjZF4vUk$m8$Yw6nxy;V^7RF-3(D>72`8jytJqwTdFJB%9uXCCWG28ei6I48>7i+rD2)~?c#8t^WZD1o)|Dx#d4}{Z6 z)93VbDvy@S-%z4zN0uDm(*ac9&_stLtA*M?x7wAt-E6evPzntKPzd1)nn|L&LvHGf zO_GB~HIyg@?d3BUr!?SblQrt_ide2KkD`{XDx{%hra!0SGpak9m5k+(8zzVgk~63tA4O! zFt-ldx_LNUJzgDdu5Tp{X=0M=4a{1Wi7!q{#J@gMRUKrPM({WF^UO_dgGM zIflsDJBxTm%Et>l(JmZ^Wqhm@v|m}yy<^n>2E`n^K7i*~b`va}J$3j)U%$UWmSl4J z0mj*niw&`H+j_>bIMzw9fMm>1>9J}%35t-N@rw5#x05C#%%i3?tJ)iMBnxgDv4rm1 zukBdnzMc`ZWKNu;@;-vg_q^PSZ>w6B)ELX=*T_qq+Oh7oD@vwWdyy(J2hiU_+#Nv$ zP#hzktM_wnN-Veb=-%E>V0m^k2*=e{v-Eq#*ves02|c%Yar_{G1^>T4NI@IJSS;BzF5uHb$WUPBksd0fYn-wE2y zPfRfj*x)Dz@OQsTD!ipx$2uW64T^ldfS zS|^~bVixVn3Z;?ifLB|6z0R9-*PR{It#<~?c~!%8YAO)G=xHUKBn-*nDUy9zCjz$X^cyWH_0!Jh25yywnHz89P9bADBT-LD}R>8EAy zx_g5l9>8k7ASt57pVowB6c1t>(+Vi(Zt}Mu2No4VaQBS7|A1tT2g%v9oOr(nCI|c+ zZ4QXyDp#avrXx#iGHl5kplu(B4tcR!H%qtjaD~Emr{X1wlv=v(XIXxNq8};>2P&wm zwZ^m$k!mIyJX8q=>P9?e?j)0Lt3rw2`b_9O!MCNZkET>R;C-O;?Sqv`AIH|YoOmDK&Bf~)qfP1{hird;jv+dBk zAl(sLMwof8CuAxi)BDPR6_BVT;`oYZxiv3CEUKiWcJ>Ugm$`zLSlc{ArA2Z6^ZN1<0c@;^L(lJi!}aPOK4v{@pQ9BPcV9wIr}U*n8RgBj z&$;%Keq5i}D=%vdL2rDi-tSnVm(?=oMs|H^3@)uiQChKn?GdiaeSzPzNKnsoSaZBY zP-k^StNaUOlW-_n(>QDV_(z8T2Y(VIteAojf~#v{x|*bQ*a4E!hzciC(KR-OCfHkx zZ<|pkz4c9>v{JwRVCCb*wO-GS89ij-JJ3!I0v4p8kN?9ED{q9UxWjr)JllZ`mFm^69G)WL0-_v3s$D*)E?(JSk?tsZxhq2RQK6=ThXb+# zA!|iCO&!uN($Wt$>v=M0(lW{q)Iq}cE`wqTp=mA4&5^}u0^5E#(7Iy54MYdy%Ok?f z>+s{*sNfWr@mXb$+~N1RRc5Yr&hhFmhc7Tw;41jU@&)u}zYv+sJR&<0tQq7u72{^{ z>cqH?SE^D)CusClWe%-0a!FYGB18vXi_{L{KSK3lR9JnkJQk^+oam_{E!sLpd!FlF=(IT#>5J%}U+<@exQp%}#`kqY{3Sw~ZqsHQn{U)>j)xc!H|~Sq zMf2htZqtemuIWA2Yu$gFxFMeG3Sr$c&Urp*^=UqsnQy?_?+O)6F2lr92TUb>!PFW< z4o)?V841gIVjaXJUSEZq&XeaSgBfO@8IMSd#H;fnA9smIh zNJ?>|$~hI55nmn&_<>TmQFs=u4?x0&g3toJQn;3HCKdePS66wkIte63)O9|6p_P_F zab>c2+1EJSv7$qx3RHVJMxZkQe;R(&oS|i`2q_LL`_fFpsx33M5(@fpihf4N)sJmdt}cfsZi0&NBwzvLUr< z((T&l%)Yb2$(2Ny+3~KML{q1okR>hPldv!X5eVa;NUGywM46yu`Wx+ zr+6Z`R!t~Bp#L;Q0Z-`3AlDR~_R$m2%){Jr}WJc|+5AE$$ z>Qco(|Nf!m?dXNFsrVASY z3_kj#oD0R@#3YQmQ#*W;dPe3RMk0Q+et0Y`M+S6w~Vsn-$7X zmmHge5G387{UPi=-1(8{R?)H5RTyHn{97SmemFW3baz{8EGdW?+cBbHHI7RH*T3`I z5kPe3PR4|<(VeQt>vUO+u1b5W(anmW;oNUSS;UcYSx5{B-~Fp9i*PjVU^rj4Yd3*x z>3tXw87s&zj9N|x4R7}lY~Vw~rvPBBsH^wJkqxl~=&Mw2;3u5zaJ=F1?k~JLL|XUg z*(fz@>qhhIuzcSYW_RyDNf{_0TpN~n(ck2m#h+|}@7x=4%og>d6}t;~+#m?Le>eF?U#`~&5!lk9lH|C_Cz&~r7f}LstAqGy zAOP6so4&fN6$UJhx-5=DRULrt0uW7hZCyDa0-fn30QAFjCjm0Vke4CnwNC=s@jFQ$ z-tn_iv=9fPf4EAFDLa)0tQGn!-=-eFHD)lC)H2?XVEhkY>MeODCUHW%UMrjpH?M8( zxc$jCYT{VK6YD`cwtn9uDr8t^Dvorx+n3o3}>Myr`5v+7+nN4K?fy@j!{?p|` z(A&z6r2+^vT>4r{D-cmG)ufe8tqD0lA?YFL>m=xV31R6WKqC5~lX}tAhCrop@2OU( zw>Y!ex{r_~xQDUi0^TvdTGqf)7zy@TV75YI>0vvV_>N}69)yf%BBO<}F)6UNaY5LU zpgGz=#6@gUp>|>ss2hkEVz<=HWx+b52<72~+Rl496M$^qMGW218(u|Co206hYbRR_ z;!bn^Wir4ml|Omv%aG?)ZPLT$d5eyuvA^0w-0peTX+ObsC&3l)_Y$&00x2eeRGY&Y zrU+)B^gV7uHNoc{Z`j}#VC|*8%W%CupRPZ>4dv?vuEdW~G>b2?GX$O+CV0N0J=ElT z0t2mjE?eeK##rJ`RXx}pCAklXW-@R&KzLU8x}!8rM|VFAHhT)jAlvf@E8_#xJhtsd zDl6`_-;dOV{?wSNw0#$zIFOEBHO4&p7md|_x}7!BD=#PwD?6Y#Mk>w^tI;of)`76; zS}Kvc5T8XiyxAXhEKm6zSXYVFe(4TVO&{^+4Q3**3&!t(H6MR*B2)ELxfVkiZqK$@t6x8QaX0K6#i-_MM!hO`+YTUjm1OWrJJ81h2qhdd z3$WJgjS`$I^b#C1GeO>o&JQ<=e)E+THHyu#jasPwGkk-YZ{uft`zKJK)I`6XnI43@ zBZokvpJsqqS*R%Ga_yjH+HedB9I=gtnoq6Vh1diyG1okjGYl0vx7^!1CH(}zJ|m^v zm{x=cG@Wb)$QGw)g-L#4ZH%x^t9R)iY0VQtrhg&|vZDC>m!K~s5Q?M_RI*1k!sb?D z$X$V1+yTQ~B~NpR)=Cic?MNB)F|+0_TST4MUk4~BLp7>^u0@Zv0<; zBeSy2aKvOTBeNh<5MtGURTX4R?pWM*5~RmfPkC8jff;qOT|1u8_}4JX_5j-xs#w(l z#as#Qi7bwp{`sIVu3|pN`BCJ)gbF)oy76pd17ig|=odJR)W*zAX)fYeGXl^l-0Gx~ zD8Hp)EIIN3>r)Ow0HEl$I<_i`wH+Mg24Va6yWoH3YJHTA?Bj>rakO8#?tL}FszvLL zXbLIAX5Mdn0-8fT|Bl?J@xH{Y4e1=WVk^nfd)rlC9d%gj`T??SQRvFP9|>|BLw!4< zdG)j3aJIAr4KYP!h8^B)zd>&kQ`=O4=Y0`t92!3|0IpwZ=|85-Tu^sK=b`hLrZMS` zn>NQ*izri*b1UPk4`@Eq4$|Ve_y?$%D;wsM<2IOA_S(Te)=SSe!FwFhn6`n@tk*E2 zU&a_wYQ!5jQ?^5`8@1*JFza3KjC#0fV)xa1zd(MfE1_dFYjA68!CB>sFix&h8Xon2 zYULO?AdRWlVMCVR2-YWkQZya_yIQR=5_c?UymdWB@at@xA zayo8{@PHY2i|{P1Nh8dIJVC&I1nju}ct&o6AOgnre4T+uM|?IZ10+mN*bE->O$J&r zB6Or6W+pc+nO*l*hckJ>?u+t=>%7 zw;YoPq7;yhr!UnsnpcHCGPU<|{P+L>Ew;4qy^rCC3(&RHhTgzW63D_Dw)XRV?`Hs_ z&MT!RgyWQdC56O+aOQblKx`gT^K-qQ8AlS(9zbmV8sb9RmXVZfd_g%dm5*q0uV!@k zY2J!zj=_6qrd#Fl2CUY9KUbW(qBrWtgY{>Gl|v`k%`PxQSexE+cps}KMa1T_Crl(+ z^2@vxatu#~o8)eWTlZH}(6Xl2cPL)bePd^(8zrc^mqCg>I=A73X>mb1!oC~#snTq5 zDD1r@iL}>3Tm}%3|c>pDvf|&y_fz`fiE*fZjV9wIC*0yh*vWX+o=*FSbnZ7viS#PaC#6! zYzD1;e<~zuUtU`&2f;tgL_3*D&@}emn&KOMGWAoD2jLiEYZz?ysl=k?oHErk1w8Z~ zZGPc4G4fMOM(^`0Ge^xW)iRxQMXT*cQg2K^9P>u5B` zXfs=AB*G}1!tB=jDZ$-BZIT6=O>AVA%}_jUu-EbGW*tt}nzT;+vaA2`Ln{{V$%4a= zL2D1o*s_dlS|Kxtn8M|^F*-mJibiowD+H3YMNJ}m zYX7R`^`B?*9{qZVJ*c{!y^gEeE%5_?=z-c?Zvro#v!p%@~MU%Xod8?=j70O%l)A=hHJpF{aNFC4W57 zB|mPr&v<`WDMlF7XX;ZIoNKk6rzn4-JOYP_Fr%&wp6(u=%KkBp(5mEaf{uDI)Rdu>U^X*R(E>|bgn<&Z1 z%w3CP<>Y~`r`@=11+6Rm4|-qtxK|sjnC~vjU8ei*etO$AEUb%maPn{sWhXO>(DZ!f zIOWm}mtQg2*d4*qmfeJ|P3-Z{EaVp-9e=r7s?Sg7x7O&Ll-O=HRTu6*)$}E4nU5+e zh&7;~Fwt&=d%c<&1RTt^RhNMwyIX_@XZ~jbfxU;eYxVnR6XKUHC}HlR3+dmFonP#k zxxR9u`E**&_|3jKAvHy!flUA_hqLECSud#Aoy!dRv?Y1pI5>Bg6vGs*v4`w z!ZzAr3zTuNvvh@CSzfx;e|lHjm`z5yftj-w_g-NbN9i>qB7!z1JwMu?e%-hB9fU_dw`6Gc+j-tt5z*dFn>meT5041 zPNw+Z!*%){o~By8U-cl2(Bp>3VvNwb>m?}#CQ_R7Qh;!P zJOpfo!lXQuHN};w3R)Pw7oZiH-qjYMIHlN45sHz zmUxh9+6(|-1zj$UHPPLDs7jCTH`&p(>KK3V@H44XIT>@8wy^0k#1LPRT09#|6q>-~ zJpYKuZ*3<>Gkrg=5`j4I-g@*YNtbT93FH*9?*4pnwIx>&C+cu?9KPZLmNz)krSCp) ze`UGDMNWVbdwFdHKg z+F0R42(Ku{+tr4`IYX$e6*(Ar@=>6Z+YWdeI1JDF~gt%7>^T#J(XS4&oLdeW#1gcX6E9WdLlDsqzKq2JNV**-OT+-j{e{Nen| z!xNE5D+==_@{Lro8gph}&s6=|tDnH;pFDok8^3Mw0x804Dv6{or{37n6S!UQu79;C z7}_qq_mH0=g&<PLE7on_%{WZ$-=+L-3VB1?BcbCJYjWnL;HTpkh zSleRj;n*X4_X__oD+kyhC40}2ZJ&sA4kF z^)gK^_e?dgcl!&4T?~n#0dx-%d(QVTpDeWx=X2m}F79QU zJWaXIi*GK(Ky&+xmdJ0y7NVvY$$q&B!?YR_EiA(w3!J3$!i!>Im1DW~2KaZ#Z*D|7Ss*4F*#r#v$+D41vaqz(RZ z*Bd^ipOH%L68WAkPRg7+WW-tj%tE<4u|}1M5p3!$x@m+Kryext+s{xy-nN-bu{0IZ zCbaoV6|{O*MJX~BoG?$j6_6-R#V$s-2#D?Tw#5Lo{8r{mlCJX0RQj~N{5KSa z7}#kvLG#`ATY?(iV?NBV9$@X#~c-M ztcg9*+ljc}Emc-dg%Cagl~oKRt_A|6YE66DN#3Xb{YtC3)4|iV%dE;FTHJ!NOleR2 z_V=n7OXHh&n8Z)K6H*&~Ee;2K&C$=VkCJi1+@}1fO{yV?7n4vRqw3cwMhY+skZ{-& z(n9ld`8ea#a}PXKf80Km0uq+-;)Or(n!Dg-f}&I!6L?+QrnVygi;#mx|>aB zx!Zh|N7zN#ul;JA#nk+M%{~EkUS(+;f=}Q)(Hk?w_m$>|2@rJX-i=hEOT+>n-PTkD(BCE~^q+1EeJ=@_=0OL-F%%A*YCuU-W z>ZxVuiK-Yn^CK>fdc_~^kgt!1>|bAia%;MMjQP6ynh;Wm^vk$)0ml)tHtV-f7)4t3 zG<#EN>nl{+>~`c0h5-xc!#=#6xVvdeVtFhP!u!3vjBvh{&bKE>S?lfhePTg=aj?i% z=Wf-N?oQ`^Avm!<;2V^)RVPrBrp+#AB^OLwmsKYFDfyU+#20rjkWDXg=6u#f2)7Zh zMmD}uMU`c3pTsxqFWfEKX7`omX1)DIE!(WWmS08;J#RC8uTB}MP4P#2=55wv|FX9) zK)d9VG*wqW$S!v)Trr@r7?0WF4`)aGVl$p;$F=5sVa2gdT%=z*8zbRz34H7i{$zkU zE6ho1+GsE+(PsDgI-BK)0?m{YNmIvBp0qzd$#Ohy?cye`ll5!MEF@fe#Z))zFc(&B zPyPPG1zh$>@c0UZ`?Ok9@Bo;ER@AQc#jNcp*NI+BOV5y*cTVdaMfo-i5LBlnQ~z{7 zCR84FAH}5KdX#SR4!Gm8SFFTSJ<+^7PJA)!<)ZaY+HM_mT6j);gF79@OOm3gnR5)X{*GSw~l)Z^XuBE zVD*2-ywrT(`PM{Zu6+`65s)WSvO~R_E!3bI?L?zs(=07<93-mdr<4K`GhOZZtNtyI zQ*ieOqgO>JaZ*F99Jq_Te>(H-whqo#hf*%kO(?UK#L>QT;eAM`m?<~7w}*v6983}A zh5oOgzjVh1CBx=@46Ui z@nq#u?O-)#7^T^#nHJ5ofjoj03E|#YhKg-W%mH7;Uhe20aNU8pg#W=)MYwKn9UQjr ziQ!u;1o2#ce?&*pYn>y*U?8j3Y9sGydx5o@#=NS>W_0Zt5@#LeV@`l5*7bAtdqegfT(HMSciLg$gVr~riWZzZVNtd;qKTldXh~M-)(}< zuPGkpB$wUu@u^f|j8u3To>XEO@bOS8@tu@C6|fr=MNDDaUlHw8PFo2EK8k4%oi}nQ zw&V~L7aJ+)jXI8+`V|fJLyw)^&x`w?Tz{Z(&$|dU>GhNO&{TQ3^AqN~jOTu%JfzZs z?a=1=uIVQNqCd%j7zN*)CKiaE9z@PxA9l@)B4iOaqtX87XQGG<1CiA0L$KfNGWhml zvCjXNwSAtW|Mw6GWvnL-VA7^&S3;gYwiR`IAR zTV?nyB1Wx_IMtlfpjfwbRRv zu2a-FQNl@&aCrOX9=yMidz82`QXJs5DC>ahwb9lGgzS z&3XwlN?l6soMHu|FJ(=mS6Q|wE5tCLL8et^qoGRv9M#PA*)H^2*4Ie`o1rR_y2VZb$*NW1}`T5R4ZK$ zpUqzMKH~hBWPC50c(B`Y>>*@}s}3xySI#PV;=c{yB5ay}9s^#>f2Q zPJ`|PJn!xtacFU!3(9=tk-?K(uTJd@SIuC8yj0pyvuEaE=T8Nk~o2p=64S|a1d>%m%T zi~}ACTQmWd#`|Y=xsR?+9XwytHB^Lqw-~p8;M|<4wqlt2iJ0g$y1Xnh^fdifMq4f#bm*yW0jHQw%Ti5?!#nMSjnx&Q>42t@ATAG~%zUY7>V8YQh()MeP+LyTiTOU)Y z8R}I;o6+q!%wO+0lMlRiMwRgEpZXOpXai&B$E&!0h3UtfyFymW`)q>e+8FjX)xD)) zfOcG>f*20#svt(KxZaRG>Zzk;2JbEORFT2OfVVzo(q4l?(VTkbb*he5P_b7z$GxY0 zu()CqWKZ&rK2I+0e3@1U^3B1kKZM-iKqL0*>~X@;m(#3fO>c%FtBmrw(X}?h)wa(A zI|#oe`YQHs2Q<;1>c!kt*L*T zcDD)qUx9Vb{Hep!!N7wHVadst$NVb*Fth;Oc+5r&!<>E^8{>Ru~^ z?#~G!#E00}7(E5tR`btW*MV)>HCh@?xyP|N@;mrstkC6cTuW3^kJFzQ&ZBYfqG~Utu9>L zqFI^2Y=J#$dkcANi#x_Dl@rk3EVzof`=++1<6(HN?trreuhi(BkUoDu*2o^L&f@rN z@g0Va?a&%SJr_l~->Y0EoeGxtrk8Of!t>h%B!mLvYkD}c%Bymno*Hn*z3*WVHo!y1 z=a3@JubBUysXRj_#{P>cy_IgMP-^1qj+UgIe`RkFdazG6MRrZkd}RAHi~3&&AS&$H z{Kq2$0*;lxy3%g1>nTsUUj_lfC9i?nEp{TH#>&SsYP0pK)YMT^)K!@ukM_ZVqDAZB zC#TLRYsQJ}s!b+B-RuC}AAla4&)8d=^vug{5l2~U!dCIut2|mNeQdhzWQ{{f-g}HK z5w#D$ne#bjP`95O*%+Wl>dSp8q_EG29~q3Tk(y+lpGW}7G89`ac!e?{xXv6$SqR=l$FUy)DFgPUAi5{ z-pgkz@z(0NT=?$8+`ql?r0*>y876*n>CtA709|;0NbUHqKI>=aZz2b))if%u9*+l& zJ@_otFihg~f^EvhU*`1Gzfdo7_Qn!eogMs@X$;(@-Z zdUmC&Yq-b&1FH)oV2`!XTk&!# z4zdw^sl{8^OW~$_VMZQ9utL@R#w&8m!PU*Z)3X53f2p$;X#YOnbi6tL#a@4%a>Xx|xhe zf6%rmIUumb&iSH;54a^R?nO&Bok5xyRPHEkW#1E3qD%h5hb}YkEzsow~?_6&CG*q#0x$e6+2XD$u4+)H6+ z%jC>u;g8MTSK)6A?uGtGtoG7TFZGczS|4z)|0}VBQRi}6PS=gr-*QtslGY-joo;n( zmR^^c3-LRxwaPcO=Wp;}MBFa)mbtHW%cZr^)ivgNxQ+kW9M_Qup_SE%(W`v6bD&B> ztfTyR=&@8K>RsRpST5=#q80^!rgRit-^pD@{v{~_-c(Zk)Yrvp(%J;h81)u2??kz!u3LqW@9nl`j6X(kIR97nBa)>{;vQ^|d z?JyiVGZaz?L?9q93Mu#%5EOD-DN?sZ8=h?p2!q)sd-;pFbN^i!lfl#5vSfb*;g8$n zy6Jg_n+$1ea;g*e*$fO6MA!W7_Wm6EpLvzb{rmB)6mQC(z3|p^INaW<_=GPz(thmQ z{$=EJ?P@5|ENiaV32~|7e{&3RJ?%X{d%g;_ zH@}+RgOdtA!LGoU^+l92-c;u61vR<5cobzi1nbX5?Rt)W!K=3wgx`4!%PKTeKT~6p z8Hg-9wjbcB;%UO)##>#c(-G67pLc&1%2EiD(N@&PP5lyFjNPxWa%T!5v*t*CdupAI zHftOU*G4ywUytfrx2)C}vs!S?I#4lEMRh37oW)Q3$S3Aw+#mH`*jvEW0ReA7uzSC7`ml@nzstO`A15dk$8IZ-t>}k)=4I9R|B< z;bi$3c@tLN_c{$KlwvBaZOC#9@?cR4DB3B4yRp0sE#p6f?$StZHVwArz3~teBIbPs zE#rQD*0Vl~`4pe9-YA@uNRLnLK78CbsQeVBUqsnN;4irY>W-6`^Z3Nb?8YfRei~8J z4P;08;S}2(g**YS5`6K)fJ@5Da%V1)Xr|03sw-`_>u7rN`ZP|{;GtO0t`daGZvhV! z&CA-rE%-Yyu8x=W!e#!fH!gZY;pX?qwf4o?ESy6{<=~)R%ATvXE`^g%ZiqPi*^;@%M>|}+DJT8bNiBfk|c$-IK#4MBD;tV z(#qxQ7YTAqI2sy=bFHw913U5<;1FHyZ2P1|wspqU=B=2o+raZKmWIr=k80}cdg8!J zJM+dpl@@+GP>5fVin2C|bOUwSAl96|gFP`*AYq*STc;DjybQ%}t@1sQ^CEu=nKC8%JDC^i%n_Us%=s0r)A-1CZz0O2$wwpv-ZVhf1fw$hz3o=@4{mySyLMax2 zk^=v{oc~X80c7ofzwh?{TU_98O#v{(($twohXz?oK#fKZs5xNo3e*nZpaCmEO)ZTi z>^*37*nwkQFFBF_djC^?09iiZ-*N#!l>-xXs0)n_7^t%V%mDRp(Zd4E0Hp_LgoJ>) z0UR_O$g`*cUpZ+wkaZXC3K@Wxo9}J|LwyKR4DlOJ0~~rrqti-K#u0-qv80cH8V0lSN2_t8yDb3wV^!_d9 zfc*9E9T!KIPq0H?CKzy=EKQ)ulY*6j5)I&g3M~K&VXNhUleX=%ivxwv8)75(rHp#7W! zMK$Te`qBB6E-6V5pRi^ss7|FPsg_G=kX>Q$xpp9@M!fS8@b2|#G8C8pm@`<2w9k2P z33{;dn|}EtKSAqwK`!#|#eUeYRFL{8^Pn)q{bpNpRyVa_HHl;3 z3}jvQL|KsQF*x`M*6JT3?8EIG?0?Hf@S-4$lulRu{l|F1$i<-{rS-_pes&z*kF-l1 zlgXso6pKzMWhtzfO}}Jp zl=6IN&D3S6ttAnP-u6A!rt8oFLoiB2WveTWuOn5XkG@*R5{o%=(eK~7kb4={jNpy^ z%M2WUNduoDwbt4FRU?n%c)mCn4oQ7pJ2S6*sgCZ!C5Ma0YZ;;E)EGCeRK)m*7p-An zm^8qWiZqJw8l7&!u=~jp@5RnDKAq#X-{ej;z{97{@rU7BsCm!G#QdmG7?|*BFuhHg zhxdIS{g6ew7>FE6PD;BP3cT^vtXI70CVt@`Wg;uZSx@k4aOV@^Eh-lcinJKomKga4 z8sS&;+OPQaD7Xt~sNxJ^=#GXQ3xQ8!?n%**Jb71>`4kpdVo3k_fomo{R}hcGQe3|06ZMg^06 z>p9@$qh<@N`2_I7T%i~2V8#cIZV?|RqxfQw7j`TLu4tm z94BWM(S5^;_HK=dNwF@n=2~BAI0JmumA12W-TT35xEL>Hi;bQ1o$Q<{hP2z!?fY|i z?frKH?@qK^x4mq)XzR&Av~k)*ZTuYnoL9@a*v>N73ur^WS8h4E)U&BTY zba#ZK1jrweINveRu9oBuVaKGXL6|EvN}qAO^~Y#hN^ZH?LilXPCZ~E^%iD!!0~t+( z2vBwW)uy}N)37WSioM9zDxE0}D@6p=1=$B(3K|WXo8BPSThv_KEiM;3C>klMD=H}F zEAlr^MCes-sdkT8jNo0le8uZBdOLfE3EUa63EG6Ap(;)vMxVjBkc6HL!4^UT+!pbQ z8r1ncx)5Un%Y*HNM+$a7Q|K=fMC!L}JGSj`tYYlWpOr=NH>xSbI9H*5n7)#JnO>^P zjuW*fsf9y)u`iXLLVM-QsgLkd@pbSO5vKC;Z|Fb&vu^gK+oW4>N#4NOW)97VR?qJu z_=~u|s(DpbRXqPIEG#|jNtysJY<&c4E$Em~jI9F^sH7DC!^VNw{If>=(;b~vE+gk( zd{kA(pQ~jfa3mnso+X|-brkgJcE*_~eQTMa*d@}o6+0@1Xr2+p- z7h6JGM$_gVU#`A>iK7;`VY3o%L&$c#iv2%YD?>{?pI*GKz|$z#Xw(=tzhQp#PEh*R zbd@`|(ofX~)c?EQijePxtMiBvMXA)V>j{17eYf6ZtBUoyOZ*O09ZWNPE!OBe5*TZs z*Ks1bVt!t^Rx4S{Qn@u67OfvWj!jEeY?>B^W)|CIKcI{mjHz(f)7R6ljW<9B>@-WX z6Ld_h&)W8I58QaeJ$`l4@zFL%C2qDjyCbvWn38Q*>g-+HpEPPfNQ<%}1oH*)+)&eP`h-RI!_seRLoy~2bHRks{;5YlOJH$_EV~pmkxC}0o z?pe|~Y1^nX$(gG3xZqml-g@%($$Ni#vN8u6#7-@_nR!9DVV;4jNktu9aG^N7n0z`! zx5z*ba=yfXx%K9qf|=mqld)T4j?`k%4=8uLqF(C0FnmBB%gVJ?vkA~rwaK^H zZ{17pr&Y`+2yh9fI4`di5$`=qqcl4|bAH`1+||wBt&1~ghNyMzxnIs)Pq2I%muQ?g z^6(ct&YmB8&*r|3>khY0cj7O_#X}sn^^DaOob9=M(rDJp=VgIqypf3)BIj%;oa-Eo z=Q%D2suVXVrbonZk~r9fJ!lKeY=}TyT5>c!r)aP`_;v8$g{XBLL7YIKe^Z~B@0XXs zp7eZN)z}*lB6?Lv$)jiU6ZiZrQZsT-$gTO&nQGI>bN{**SH$s|cc-o|PR~#oa_hmi zCkVAhVbOs)3T56oyGYBd?u~A z+l8sh;lJey%VQR9&g~3FE*7{CflUq$nHYWWtO_$GbQkCxA}&n_KYXwL5nmhLWIpv{ zmu0;+M+b7qV?N;1(T?~V*|mrEFS#u|d)w(>8Sn`X-D-^b%We9Th&5gUZU>L#k@(O)g!v!+Vd_#@lD`U~WV~Q}|DmMd_aC=UPmE<>wo46OHy1v&@YUci z8G2Wy^kr4CBQ!w2i%bJ##Ux|v>MtCbW=dm{R}3JCIhjNv0#afUt+10|Bnm<$)7VTf z77aPWrn86?B8dfpA(0SoI-q{WWRk%U9|ry`FyrD0Y{{rgATtPTDv3f207F=0iZ@`Q z;t32o4Gi&O5G9TP5>Fri>SQ2@HyPN9NoIl}1~fX$n@9pf7}6jK01u&1@G^E^Ht;7_ z2AfL3vsqvW-G@#io(6WqOIKz}CUrPknOY9h12su&#T zvl!eLss!lAnS!APhA5b9M5_eve*rL1xGX@HzI{FzD`f2R4k#p67O=v2Bx-rz1^`NV zvVc_v^lbpl0J;{iDrol&00F<8v}|i-73;nVNeTdxmIZv{HmoKs1prCQ0HiEY?)u09 zfTU#svYLY53Q3x@3?P6(B!K`r3I_qj`22v;C=>z(CV{`$B>YtJfN5WBFf`EeH8vO; zjRaV&oDBp2+7F8XO1;((1C?BqH8v;|E@9*HHmtl2hQ&aE!?DH>hQ*@g{oqh25;zlU z`~aCnqBXABtpIha46F7>-Z#{kjJ77 zf!njP9*cn|Q-};eMG_2gAO{hFUVu@L< NfdFY~9kH_j{TDK#6UzVq literal 0 HcmV?d00001 diff --git a/simulations/figures_sim/figure_block_corr0.1_FN.pdf b/simulations/figures_sim/figure_block_corr0.1_FN.pdf new file mode 100644 index 0000000000000000000000000000000000000000..0bf0577b2804a5acbd8d45bdbb9d1c4b0c44b190 GIT binary patch literal 6037 zcmZ{oc{tSj+sBoNQDjfV5VDUM`<7+wvdd1!7)-_tW+wZ-FF7QNFeDVo9ubkXWXV>f ztl6^fM)J&bPUm-?-+7+zb$ze7KJV|neD3?7dEK{wiKezVSV9^g5Iz$=8{Qv2WbXq2 z10{hN=UV_}WdI23gMi_X7_=q~hX4v`DncY7l9JL8FjxjG1CbU6fDAD%|L->oBo0OL zG6U-Pz`Wd%a4gUmkMqLgNNy%R7#BPo;Y0o^B_S&TCTYKNVaSp&;Mz3+0_{S+1?2DB z06`Z1UI-uv3d6xr7&jou1m=do0;Na>X2AbA$o&w{0_A_X zgUk?E4BiJ$iYNVF@yG_h+i@L%cEh;?A(9I6K#(>Pg(Fn}(ngV*qltiHToB}YV{xRO zc>?^hJ8TWGTrwA$*UL><*%!hFj#|OOc_Lb77a9|wB4^X&Q=HsdJ*L)&%DSG&aC^Lh z$8sshTYf1BSu*$a;1BHMKkEKDe*EL)C%84bo8htpv8(XIF4a+V@OUuRZ@0~SZ?7V4 zqrhp$-_Nd?kRx%Oa4j(Yb->>G+AgQyr^XzY{^|8uqarHD6>0<3oH_IG#_pP#YgJSA zFRpX+r@s=&n=%#FCJ0T%9Uo^MMA&_4XP4UCE{&WMtSHU7mqBM9bH8y2B3?GDU2_OQ zpV2pXj<_NO=U*(l|Mt$bhTO6;f6v>N0^Xi)VBWZ_vj#L<54vYh?`1IKZ7g2LIH@}oC4nT^60x?GZ-77bq&5ZAi_aN!SOHbRK z|LT9W=dOqXA5G%NivUW)R|}S=^gZbu!ZWN4IkgsZVa${&k2manTbab~w{3`|8gu|e zCE~*qB`l{r+omE6JrwO)B|t?b^}^|D-%-?kyeE{Y)vp>gikXtn8s}BNH~wTpLvx!g zfmWHWBWKEHQ8a*UD<&7;0U+Qzs0rzhX50$h4{Q)66t;+46e6uz`7kFAvkNs-)?+kV zDNHRzam|c#yaI95hN_Hn(;`Xws~-+@rrj9{XdfQauj-EtnavBV{I1CUydQVc=%TNe`0_JUsr?rs=4`bp&cKmtf4u@mS@{0sNX%>)gjJJ z<;7jvyngBFEFT)zko0Z*d~G;om#@${oho)H!a19x1$r+TF5U&Ex^YJd`+6PRIxN#m;COCI@&Qj)>b$RU{UyDaEXXV6NiUf}u5=S=`#aKl4!ZhM z$5ExJ{7-Qmv{qLP&4oKir}?KAMdXtOGnG?19rI#3??qd~l8^R{EUv#Q-Jl80- ztSH>^9xc<&W3wXF`X^Yg{j=a=R3b4f z-;klp$Xn_9R?U|36Gz$TOUXOl!jsEROnX19Nu^(&r@CuMDm^prL18B?L7UiOxBE=> zl<dTz+xe6i_+qC@V2zz$Z&BFEj1#qQjahPB z=56Y=pn1NZ&r6Yw!1Rxz99%9nK!hc$n4tHtLuxq08BDb~64rZtnP%)%nu zp)!rojIdOOx$*c;=BQ*jS3iGyfGE`zb-lEOsZFclyV^8tVus5I;97M}A4r(~7&oeM ztNrze<+~?A3A^eeIwJ+{at5BA7&`&m%8``N(lY6}tF05srG3_a6nq`^cqUxQY%ehO zd3#S_Sh-U4{w2w(p+apVt?nG{%tAS?IsJn7gLL!(1*S!fboANfGm$sr;CLUyz~@Tc z-oVH!{Vw~`UhV9E$d|Rgz|Qi!S9StA1Xv#9J_J^G2310>3M+RGl^q((M|f&D3?7!_ zbN8H)>$QDDmSUbwqyFRZ!J454?>klmV-23P7fj51FXi3c{A{1hjc(< zi}G;O8q%Tv18t2H$PR&Y2-)s+bo8zt`5Gua zc;S40PkDU1bu#*}CSK-}opW@ahW{W#+mkbilL6gP!~;g=7chUXZ)2Hj*b?4+V8zdi zDjDTqnW`W?Ef$wI>X!?;XS5=F4>#B?H0kaq6OTlzKGCo&Ejt^go^SN2wAWu%n@GD> z@TK~AgmBar`;g(tc;Ws^*LE9BRneKJ{uL9OY8c=5P+$L$`oj%2$@O{cbGoI1^SCel zWlt?RT#H$65?(2u?4UzCD3)Y^$3KZPURaR3Ds|lMxws+gtOv3x_pYSaKH4(|?PE@y z`u9G5WWT?#7QI}nKiNf{7+ zI0pbon*>HcWo3{y1PCSv`Gr;>EkB%&IgSj0%F5($q?9O(kGU5N{!0O2&2%(?GQZ9L z17l=~oX-xV2Zd_Dum~5REZNH8H{Ov?ziU({^Awt#1f+?$jf5k}K|w|&WCQ&MFBwuv z{}*_X@ANl#u1^t#33O-p)3olL6 z)FK*)&{S9fG_{g1A^MbQ<@Yljn#0~+ESwp7E@d2(ul(10A5QY@hjb0w&TUXoq9~@ks;f2F4zy2ao(}qygvw+-U~g)m z2Ob`Y45=oyQk)R(y|m#2Q-hwrCM8joXpoj?=`Rn2(%U~le*AV;(I z88J7}(uoOsgHr?#VbJ0_kw6~`y&2SR*8FAt8_aJzP5v$p40V)4y9N|#ws-fpQIgTn*BS!6jkafV&_Ve-B%Z&K(1IB?2 z>(hn2m()VIDTG8AfwX}xq66!}be%eshrNj(G9Tm|^+)^+wyMAWvzv`SG#Rd=38`l? z?OVzEVS8E{NTH=hxva*yNXguC=0yu*Jq5!QiD z%ABq~p~mMiN=M3iUBrdMr=;c2N`&_~otZdgCP|+gCcFW7uXZ6Sy88mFSu73+?dGbA zwoc)kqojf|nsD8t5rAswo@Q11o@e%it0ZPQ-*wS$Q3!Xbf#N*0F3;4RiO3po_KGBJ zQLAkQBZ{ip$ylByIf}jY?FK}iMXeAvO+XRXA-Qa()yX=DA)Id^Bq1F&M5E;K;VTyra&sC@V! zCZ2zHKwI9R-oQ_tpJ_MFsNL&PSbdDOp0cL0F_%EIfT^x4zpQXLKd&e6>eU>+FMLhF zw71$W3_i*>*S~6@1qr;9S6`dviCBxA5!zs}6de}AiP)R^6~$ReTkKfaKYLJao$sgV zt-JY@$?>gjd|A7xZJ|X0&SEKMum*BtOk2T10qS4vlek6oO@~FSBW?ydZJHo-B;+Op zw}>h+Mwq`G#t&;R+bqkUhe{Pu4VWPdYcTGSHNvb32|4;T`nmdd-g&bMU(V{>j0 zzM7v?(gZz<+IviYqsveyuNu1WxDOr!XiH1&d*ZSKF2c#+kMRNxyA6>IQURR-rUB6b zs{#8vv_!FE{^QHUCZajDA~i2H6?GYP-TBQJu{M@AhnVA-@;ga)oRefP;yF|xmQwVR zeR61-W)BTnZ#f&+K_{PH7Wg}eq0|@8fU$G3)p7>lQZOeZw)gUTs`O{`#OhajzZ74*t?Vxz1IGuQ-7{P|ay2H-1dby71?up4ke{m1)ig9LkH+LU`ZRreY0JCu8i$N6<@^T(f&kp+?6`Mt2g4=vyim7|-~ ziJbtrr)!R{hLXQR*=@!7ozbyYo0XtXhwSV{23ZD)Jq7-q+Xvg17Vf-Ue(7WX-JuYD zu1>SA32o-<;F}y6c|^$&%#f>-))iI!)U9Mez2D7o)RC{8zWgJ~ZBKts7}Nf_zp*`V zAa;iNoB1ks(yCu>tZu~jUH?~1^rUcTO=!xA>Fdg(fK@1-zbLGdXEAMSPPgRJuJA{<=1tuOBY_|Y}M(QFcin!j_-oc7R)}J zDP|{%O}z9{ZoQT-KTYJD)$&i25F545Zaz3*>JZ2l&|&%z4~`d)UsuS_rtaGr3@fZP zD6U7XNvtvFp2eKS++BYMS}^8+DVTm$MgO+p*IebynOw8fEsGX53%cB5V)1BUvk{%) zXTqMaieQrp<^9wL-WIxyMYKndTB&VFZ1wx1QH`gau665r8Y|F6c>Q?afYsYZgR)-IEd3F^qoN$E;?}#@B zN(xH@tiG2^*s3&lVtT`CqiT^Jp+YqhVxXXx60Q!$sg@tI9#!s!e78$vP0;F)ldVTR z`5ZSc^hv%RxmHwS$YbCqz-~}xAgVu!nMXGtr1x5--wYnVTZ5>0pO5Odd~Z2D`u+1n z-DM#wiGC2zXYQ&d>{+P`7J648) zWv;75;~yLS8_QQVKMh$H->|aXN0&RT_XfNs_E8taBm_SQRyg98)t1`}?Ikw6)GK&e zv(y$c9kLW2M;Y9k+}kUjC5|ZbDt(OKa(dI+GwByP^raJ3iYczU&wVa&1{fal@%K zQVBj$c~up0vJ>)Zk@pbR5!I);edV)GmtgQ!kgDT>-w(afw9MiTRnZgsqxW-TzOVg$ zKqOg}WPaN3{1_^Kc=O5YPbY(Gh;`hjontGGa#zRuuS`R+Q{vw}PZ}TiGE2Q&uUr>Z zeGsyEcyVWQtvJb;5JI^hwSDw2)K>T#Ljiwn8MV-)g&q=3S~HTd^*<*oBw8JfMgA55 zAWfvJD}uCIB<~LGfYLG`Pb3@*liNy z!r*u^>cWveaJ;803gHI?;gBd7lH>`4`(V&Okh2ehY)JBi!QrHBB>?1tB&EV4u|SXn z8iR8|xB@{wzb*+Ukv|Fr`-kq1N4vp%@SZ3b9tQ+r+%RZ_2PqruS7a=i+#UY0X8pzb zzd`)ZJ?pPY0A!AL#{F8ml10*pVFdFeU5PXu{OZe}Ho6GZZ3GSphXFvp`vN3)^q*^4 zKOclEKoSTB10?@`fU+_&QZhhS;NKdAw0tH%K=j`lSe7&g{cjB-ElXMp|Cc5sO&T`- zOOur$%}D>PDUimR|E)-ld^9S!?BfR%wQ~0_BFfgWEz7BGt(>xW8bocqU_m2lBmgA5|Qjn z*|L>2Mp;97W;&!7zAUCZw_mb;t|M`}Zr$rt5YFQCMNP99xAyF1VHl-6#2eULvo*%mh! z;?{~idk>N)eZxSjm8pc!*Ru8FR;Bnh1F4|`B(YLv5Y(Lxn@GAt``&PBwFfDbF^*eY z4Oq9M6`#4T!`(>~o#7(IA1}TDs9P|d>%bIL;#W9`QS%)fM63Mc&tK{Q>B`Nw2GYEZ zwv32e@)=CoNzFYP+=ca+52|vXRdNE|Ra73eQUCdr2p)ocE}}GMyr-N&xlyC1`RQK* zPKAmq@S)B~i}*2cCZ4&ER($4K9A|XxHuDS_CZ!P39_w8_kJHW)sXx8Max%06qN87u z^U6YbW}h!TIY`Iz*q23SoK(}x2O^y6yw74q9Y_wX&xMXlTE<_Zv9aCJw7->69P?x{ zN+_N-WKor+`^V~y{9O#f&sd^Y^l>6y1U=|K77W3dT5vCDIvt>fdy zt3qsNxp+_d31}9_x^Eb=a4{d#axLyJw~3K{k!RkxDQxuM`&hJPIv*PbF|2;U>KYI5 zPL{a7Sr12)b%L(Qi0F0Ua*yw?Djb@gTpK9wr~C%5rAjq9ik++G$pzH#q0`x#lS*kw*g9wG{)T=}N!oljVz#B*ltYI7^u9F= zW@qxD-SJsaUGF_TI+h1tbgO3?EYdQ&xG>JbH!nXIUv?0=ZoZZBa_7m(fO7d~ffm}I z)-zDWWNjnbfwWk%Rn=DfDr2+obAXFX?`Ho?WfS{5DU$~`omN^E6U5u)+OPIM)sTst zdlW8AC$i)q0~Cn~GJB^@0>C>Tl})T48Vve|>==^hbMD0S`wCU#vyUC0^0;YCGK%Q; zP32pLnoJsy972jG#9Wu3Eh!HAj+PJpsoONjswLsG2^IKCo2GFtxpywFq6e5-0L60L zVVb1$$GE$IW4CmQG*{#XWzUVd4rMGsrOo*bW@A=-7)$0#i|ZCT<#H!jj9+!2p!Ace zD`x_D;&WX`nid*@%6t4uD_L}F9Aq@*TW0AzJGrqu38$Q&Icv&I)LMiwJDuBzX>4(_ z(ye23!kqBQD$rsr{;bCfnB?#I#8pR>+PLH^>3V(2TK)~ndoHj#Kbk|)PIg~Qly>*= zo_tq$4qt2H2pz3zT%d0KedVK??TD=}uSln#h*WyD0+Vh9XES)U1C0`cv&Fr-fF@im zvK+gkENQ{B6EbG;j1Fb5NP3c1N}U|h=!9cu1>AE1)0EFYea(&4$@*wg-2Fi-W5L4D zdJ_ge{!e$so< zu__U-CT~*?KdmJkkLeS|X5*84I;=^f0VjO=kEdDo6^0))p=IyK(RvJM8a9s7Ks)?c zO#vsetmkL@>ETKbKcpl}#J0-ta7ysAYc7v+;^W)|t}v>b1zA|pkVt*~RZ^O_Vs{)L zDk|&nCJIOxu@^JIuw6Zb*1EeK$T`AG-dwi!g(tI_7iDrV1PNF|Njc_G`1DdC zYaYO%VrZ>GF(a>Us6^fAP^@^L?Ju%NpW0z%5zwQVwaDkRo3nvI zXu&&G)_T0-y?sIHs0opo`NCu%%u^!2`A5*f!RM0`E;U1&YwuUPe+=JadT5yOJ@28M zk}Fy4@lE;X3kOAH*XFQ?;b(HMkU?XOTf3;E<(;96Aim;xgZu4FemncKQT}8m=eJk6 z87hrv&4h(bxY^X+DxUp0l*y}pHk<>&a=DJ2-92&9Pk8YeM0Vu#L*nqxKz`nAC8JG; zn{)W=y(bYPq%8r;9c!-KSf8xk*9{Ll5Kqg3c9MB0!#UCr63k8$V1Pbnefgn?aI})ai4gfmIQ{E}4 zLV*fUd6$0>6P0*=6AlH;;MNE{&#g+O=C)wBmG}AM(ycu8q3Y_x3M1MiS27vZnj8c zi@($F?PW!0c(U0rRqh;^na%iR3XLdK*9N0&nOb@rA~h3Mq?1}B8Xrw-S+jbKUw8OA zhD#vB$i0exy6FbFCwp3WH^e)?xo^soOdM^XNjZ#Ucy-C1IgF*io@;ioJuWH1(~XIi zWrK#^hh_#-TdU2pr%#tj7yKd7CzErJx4GdI@cY5Jp^J&FG)MV&>K#PEG#2*~7r*U| zIrH;&sc6{ch?C5_?mbg9?Ugs~6?KS!*xtr{lW_{($waWKZbG8e`MYtwbBK*klaljE zsvIqesc!tdi^uosAuST{NW4*uW(WFH4S%p1ltwCTQf>if?d~HBPm_W~$j;xOnKA6T zvM~scU>#Rwlt*Bx?(5FpIm~yKh5Xn(VWyu1As+Tav6eW{9X;Ld(o4Wg z8Bd)$IpY{IwPQ5*^0W3>+kO_0)o0us-(&C3u%{~#IjtEYL?d;M9mpKyF5OQip6D>3 z|K5`@ka;inpfBPl(eC-BpPf8np~-LqUC46|%ib?phmLfLKpH(w`V~!qC3?=6$DX}p ze@??XLr^giF6h$=V92aJUK?23_43?DumKBK6@Bp2T8 zc5IT?O8!({*x3!hJ59Ez=uS3nt5`fxr&I7rw0(-eCwc}Qb_>Bf$HjHD4e7WwSMOUr z5Uhw%(XsR3fl>>`yZ9L01<&G8hWV&VFD z!_=})CoV=kJ+Q^4J15=>b4Sk=W)#>KK#M9YnJjW2To}GQEOiaA&2FmiUDz|wyF`PR zQRB}|kkhxjpWT0EsdkBdOJ$#%F|q)j2u|h;y(B2XT}xNXUn?+_tQyVVkq9fTv45yG zD!3YdvK{;Qst@=XAc!r9BZ%RAGBNUxIXvc>$`xmIvpDJ3muDO?k{CM-=X3rhj*o2Q zMAr7rjqb0AJ^f(TkmDDV^F^dM6PX`H8ET({$rhyb>#LYNHwn-ZG^idlnkuNeW`NH!4Is0?R zq&B#0rH7^P=bSAAO5^MlZMJNjAKt6BF9^`RZuqsF!?nxsX4Pv;#}b<&yv=gVU>)T0 zn7*ows?LpCY{EB&&jwsF?QwHDvzGBv2U4C=aGR(KbA)yMFkx7K#bHI|q>e%&BS$CE@K0epD&N$CF>Fssyvu6qf2I!ZTw;=nleZv0v%d(fvFSo2nj6g@EE2>8p z9^82Fb;Njhd_;fvW4XdGad>E$RPJ9sJ*0`ehm7+6bnVN4O66DlDc|I7!S$Rp)!4hc>?gZs5Qi^aY0 z7(m65$6yykWZ`vOyuRBhWH1I&dv;cZ+#n=7-piGyBc^){JV5B8&`- zRg9#QUt?t2xY}G|e#BHKB_>@>gz^#iH6XSMr{sH;QA#b|+R*FD4jzMU*d8wUTZpN` zlyBe|3$#|*1Y8LgfW-EkdB?EO*b^(;&tt};oxqqNaEW8+c4nIoBH3|JHd6M4Y@ST@$|gqP6Ay&&bH4$j*Wu*x_?wS}$Gu~vsK z!5_Z!@|K!pnIv=<-RRid+dRFPRKHS>bzXHTL9vi@NzEuLe;5DcpvVJyRw8Sj!R-yp6F|Q9n>E?$NAZM4L5Dqr#wa)@qgR*5gk2! zHnc7@QE$CapfbBJI`k(2K@MZ@)?ir4QNlI0JT@ot%J$1fOIplMm`>#HoYjzM)}X(edhfc8A$uwF0pzK| zCM34@U2S}Aad*z$HD{9c)jJ3G2MF-bZjWhd7M5}pux(u`w*8+0Y#J%9I0 zlLgGql9ce+4V~H$*V#aP6yPH-jtNh2X&Kog@-h3an7Fu#+YB-Eac2LTgcD3kWN@xUj8%$Z#D@e z=iJo5Re_q&8$SJGn~TAHxy!p>F5dXKeOPm%mp9qf-Q`QeCrml+Wyt+`rUPL$#xsoP zV+CUyK<8c7`SX;6=i(32hwPfG^BQ?DYlEGKsk5t=@6jI(pNlkiHGW^R-LG0C;ZS{( z4me&S=~LcdbNoTpu0V+5j~bU1pvHw24Yduo*2wel$r{Ovh@-8LrX`W@u=c24-OWEH z4Bki(B|#Tm_W}-$MsH`9wO^Dzaz1$XY0Upcz#&AQ`@GUm=dHt`>g+2IUVJzjTt|@c zAGUtj@mG7e-fglB#m&gB`W`jj^XF8kC)bdrFWw7T`p&oYb-gUnJU@hfH)`|XU#PA6 zH--ZKvL5wN6qgT)qIi!~Z2iy54vEr2;gG)t07w_<;env|jZ{O?38<(9@Q1h{}l&SrdYcFr745|T>}E9c+dYkP9CEAFHK2N z{$DjHW&hC&9t%VIAg~le9SE{U1|lfu1%ixF9%#z#j5-gH6&j5PQjP9kv%%qESp2Wa QC@Dkb0pj9%=K6sD0m|8;00000 literal 0 HcmV?d00001 diff --git a/simulations/figures_sim/figure_block_corr0.1_MSE.pdf b/simulations/figures_sim/figure_block_corr0.1_MSE.pdf new file mode 100644 index 0000000000000000000000000000000000000000..900d41737a5665c800ab70efebc0251874fb3623 GIT binary patch literal 5915 zcmZ{ocT`hrvxgA`B}x|%X#oXMN=SgvrS~Q^bO|9qGzC%w=^dmUiZtmRQ3R!f6s1cq zA|OgrP`aXkfN~Sh@qFig=ia^6UVF{#nR(}({l|XZpU`zpZE>)KG(aeLF?cC>IC$J1 z4*&xtfjH-z03{^=NCS_A6Hz# z^2{&*@2oCc100X++19Pf5wN@k`!}mUph?tfY&EsPd?7scJ=)1L(-Uh2fo&7FI=O~B zq#Q3tisb3V?JL zaTk+cWU>&AJ~JB@pMB-UZc^x{sSH6hb1w^TTY@H4vV>R(pV+*+bP;VHLw!k@8sTC3 zLLOn4R)OQX#X~uTM3^BoQ$)8*&58lH*pp(8S~w^QJ~2{In!m&!O?RpAQLKT3U7Adg zqKbS^I`?F^mVvZKwB(95BgizUoo1jBF2+>ncFv=6c~%ng7+Ef`IFs#3Q=dn$&>;DG z&c;1ETgKgR+O2wlNA_vyLP3fYb{?s+i(Tj(9=q0+W=`%t6wa)ldQ&=ocXSqY{FFlGYufwhFh3d}gR4t-Lo4H%r;9DyeIKvR4(=0>0+ z(W$!9H4HUH#jLzDbhhL16IC{?8gEo@+TJvetP8fPwJ0E4{eN1MwR+TNU9Xqm_*U z15F_*EzE4*QVRg9-IolmsFWXNqI{L=RdksCF$eRKi(P}#s(&Xrrl*%#b*QBN2?^Kps?zK7O5ah`JjT%B)9ce}>qqy)A9rL$XfA^9UlnIN z1h3SucU7u@FFHQm8E%HH=n&8&*o@<;f)Vv}*KhUR^s&8`Ack{Mjz#fHZ|9%ZFz*ZH z7YoUhw#itT_4~PguPIj<|Jyu)03PuRcaW-pT((W)sm2Q*%L#coHOJz*z8Q&xNCUl}ySDNz z#1=o+Tsd}#`Y^tBwI#>uT1&;)8?w>A3ijj$-PcCHY)lex6o7uPhx5|o?S__=Pabt= zsjzdHk88#>s4Pv0wqLm#(jKGYQV6?g`)stY=*nx9ez7w@761`74*x? z*tI?t_dd6P*NK562_{FAfAH5Wy%w^)*FNzi%{?e!8xoiHC0&&NHR|lU=0M!>vnIsh zt=qRf55Fz1N}gSg=IWDHNtjmi{9xlZJ$`NQ`|kQH1H+T6KEw;*Y^%c*(!b+<17{kc93_m$BW zs?Y|X-1wYk^ie8jur9V`M7fkZ$g<7z*3tREVGGj_z6yd*X20R%E*4gv5$0@}8)Xqf zD-82*^}0V~YFkW|dJ2cdzq@PJ58BjA6WAaI9+Cq0iN~np4~r2$@Sbw(EAz{D#|@N@ z?iK8`H8sl31~$2DJ>JYEI6h*DE8V$PU#jn#zTxV3yto$w;@_)Z|7OtXwCfz`MQRBA z9-Q4~6S6C#`iM?7%Y8%uq@b9R5~Un@Ni+^`?g2;q@_-0tI_f}~-{Jp3B8rQ$o*hU}Lqi=-K)L{-lqiSa zkVUb6?@^6HHCW0bAWh_L6aq;p3Nj{x6X-Aefyj`z^nc+GrKi8~Cp*>4!hD(|a=1md z<$4lx^u3W=?q<}w3@y5e5?8_W%=+yKRDw`V3lB}x#FEnxk@=uPjl?H{(cvddpRAqa z(wy-0ILDo;=TgBn_w3HrVCEeEUcjx~mf^Q4VPZTc2B4>57Vr zadSF#;_NmR4Vr4+qqgC{bzCL(In{CQy+#{BFxB<+ z*p)B))An4PeR9gMETMXnzVte2qajKCAwioEh*dJ-ikC(qg%o9M*FxpI2H5z;D*2qo%8sCMJtKjHE-hEjw#gmex|OW0b2>yOQlgjAsZsf&{ICC_cESkSc9P9}1v+fzJf{FpbxOghr$S*!sn!KExg%q$88F_J7CFSOMYy)V(T2s}(+Euu!L&Lr>^ z@i#{6CYJWvoukvz0$(@0cjhHOd-!5OYQ9xIw6NUt)b;GLYZI0eA~ylwSd6r96%39J zeWW6aDR5=SNNB_IGDmnnR)1vqDtEw67n+ZV1;?KcG~^Lxucof%s^%V#mk;Oaj)j*z zv3{g5$+H&C(1ovZMuY1BzRbR?zO;(*{-GBai5_)wH|&*+qeMF`=WRVMd%!%{8n~XZ zzGL2sW$N15?*EM3*Y;xyIIR+&D$fQ5PLG11 zh6rmtB~2w09-&qtQ(f0f&?~{01TX>{m$L=m3bp`~`?Ot{@Jcp@@6@rvxdL;S+f4JW zT3N@zuiqQF^6yzPF~Q?&k-rj(xg!D>_YWi!BO?7M~)< zY9N-=+VU3i8h5JkF<)pu=$sSlidxiIFpU;D6mb(lScH|EAk7;mNE6ztHmh+ zBW9@L8k~D*%@y|O=xqHO{T%(cm!9lbc=NeOX+D1X3ORrukPZ|r#Vt)NTUUi&L0^fM zSH4;XTxXjEB%4kk4ryz4_Xe)=@jS$ z=xFIG=;|3hM~HQt>u`wp5m6Zz8|NGgJx}6NhFD24N)E|lWm<2kLp^0}T*sX7gXa)0 zAx2VfF+S60q1Cbm;D=ytNaP^z0PS+~V5Im6hcSnG3|$PjA?tW@Mh6-hZ#yO)Dt<=1 zSuEFv%eu=BQ@vV$;Eus%W8b>__e40extqI>BX%BEWQf16>)xHQ|6)Ja_;BU+us_xf z+f)Ar;WeIfli#`RdF$(+p`nGLz4?RivC($$=#$CMbTQok1jaSnOI`7fe8p{r<*$>| z&u!NIroMA>mKfYOi0Lo9)4j95b73W}akUX|zvfVkJzK9?--0#sa`1}x4Lzh`@@LA? zN$v?Nec)EUqBiX2IO!-@$yoUs?Y67Gdj;3|X1KZ2cO-I=?SuISVGcGdJ6-?E>*eq} zT=?9Tz?#5>W9TvW3ELC1LCZl8RD0S}g8kKs@@UmwsWF8NhG;!k7Vyw@>fKFf-eFid zv*HyVG7>bhk-zsMwj(v%pFf_S=}aYk;CVQkDf4JsP?J+%NGffmV2fbC;Fe~Fre1+h zA$uWPL1y8N9`BxeJ-UbrXIQsm^mr6oC#eUqRJfG6Sju@IHrwc-^!!@B+`@t2lGdFV z39(7*tk(T~)-IteAsyDyyWqRxcemv8v*?Dtjs+Fh8k9DmHzhXNa!%n+;gYsqf>ul} zH43L(R@T35^e#s!V=>1p@ry+}hsBwk(u2~;;#T7`MsIR=uP6(*DAS}Rrh8iGvXsyt zLTaUUAd%Gr)zQ^O{aI-n_D~@Js|-?OI_7C}m-O`TL{O*ZQ%A`CrBw6e9bs98J>499 zjwH^har%o<|K%_KJ8h1^w$B|#?egrZ>YRwhD=!Z$N6L#I`oPvIC2W;jyK#fTwPCfW zTY(}q5@H~~MhRC3lSHf0`vp(F1+3Y{ut#fk$wC{@WpAQpM5g2#P@5&?M*IfeLYxK_ z2BP|NxMghXe##&$<%a)EQVp_dARj$!HDI+cx%OtZo>v4WF%05=!}qj>a0;Q*7oVn> zw*Kro9A;V{Q)Tefz?RE?+5vgJwszH@r2kDf4rb(A;kr>W^Sb#?bLINysd1}POPK8* zw$f>9(5LNSh^{aq+CSZ2{*VuZe* zhef0>PA{JK&v^%qzwJgp#Ff^k@li)!isTE-+~4@tp%&@;M^$`{zuUe8=2UHA5!_2!<)4#Y|z?N&goSStmg|zzV)BABm zi-FHp)?H;n1?U-W8$B|;v*I_L{b_Gq<<7frM^DZSamG8kIIK6l_jo{P56D|Ob;z$k z$4jRe$rITGQgqnl%8~V3j6O^mhqYAZG;?@tjP)KRF07fp#=X;R5NPRZ{{GSGpkk$- zfE}K-A#nQFzt0(Ki9Wo)#~mR3^?32qX$m6d8&prx#hj)by zY3^Knqtheoe;K6WxbJ zP2?7F>gx{}SEZ|C+B4HY!o2tz=D0cCi%qI=>&cd=N_xP@@8`dM-YktZ$qk^{3)?yT z7i!D@jiG?Qv_35?Syn?~$zmS`TmNIhP*^oA0rlGf0BNFJU6EvgkD}n&0i|U?7!;O7 z0Lnu_o+KO*iAK5-0bprqkPD8iNfHPsAjl05zfERbID$k$T?7h`AYok5NN*sBh(f!N zT^Kk5kHZ2%&UhpxkemreAjp~_0OW!qFGWBRfFKDhj_87P1%mLunnaMvAB~3p!|zVQ zy20@z3>r=%0zo)892R+tyc+yhWdeoV9sVJ9{$l;#ApWP?`RgPAGAB6`e~F(IC;5nB z49AdLBA*U^&E?M+T_pN8l88dU0ifS=0a7OVPjS>6k8}k{0>NN_*T|?Sn{3laD6<<&%c|JC0KQzvE<}WL@=t=So7rWU=?Zee(bE z$w2OO literal 0 HcmV?d00001 diff --git a/simulations/figures_sim/figure_block_corr0.1_Stab.pdf b/simulations/figures_sim/figure_block_corr0.1_Stab.pdf new file mode 100644 index 0000000000000000000000000000000000000000..b78ba61550cbeddf1b93d719ae8ae38d3d34c9c3 GIT binary patch literal 6029 zcmZ{oc|6o>`^POIqwGs4O|oxeEMrO8cd{GHkZBAiV}@B6GWIRxkg^oX63LN}#v~+L zCF@8?h>GkYgz7ibIi2S`=RCjf>otGepZmJ6>$DZar+1UPA z8Vm;j166_8^A`YmdH|3y4hbiquox3K0SS~d(N$AbQ&rVa1A{fenriCu0FW)#_y65< zMiJ2TQ;tA$96UGxg}?*th=gDwfqu*$hxH{QkT}M!x(Y-EOxJ$a!ZIXzz?m}uB*vG~ zh1y@;071^-!AKy;7*2qrvHn1iJ=`CO2ddKp9D)Bip!Kfx*Rc zjVI7&76c#_bY8c{PC$5LR`(Q1Hrz;^$SQMj%h+3-M@2No`e{q1E%Pk9}%dt3v$1Oh)^}k;j=X#zz-v@hXy0KTBJ(vnF7ysvujS#r~Nc!j&! z-JVno@|vfFOynJvMb{vahrCN;A;)qW0CuuNnO40r>@k?d^Y3g)RGdOfcZK0R)n!;R zGz1beDx=u$JTO{2Xn+qMeu8`bTJ>WB9yTT)50-TdMrFr&_i!$mo=y>vyGQQfsv>C} zym}SZlp|g^J6)N`jA_a_juPbMO0IpVtp9ip$Ez^LrlhfNfFXecgp!OJ_L=T;++z)h z4D89)^S)#|N8MJ28jw`j*Bw(&1$<>ON(>#y8e%Ij$$koZl1VT(prE3qh#O5@q0$*f zw?=zE-)wS^4WGjZPz}|JOxnh>693>@wC`gl>a^%Z_Pl$b~Hghk_QaEQ@nI`;)O<>65K+MK%X^#E} z7VJFNTL`;P$R93>+3s9nSJ8}JLw}9q$_q`)vAo2UmnqO7D5m&sp$uj?TmCIeqi=Nu zHBqd4J0u4xCd+0tTQW$~4s;gtzic&I2DY62eTt@C2^Gr~yC^m%rg%Bc%x?B~2NZ04 zn5Ips9BK^M)aVnt)&R2M>W+Ldu4?r1oHkEgKj2~h?a8&kyn+0lhjK7#lIXDu z^f`38FIFg-eX}r*tvlFV8fI%3ye#HNWaqr<0M*dBl(B?2FI?y0_rP;mOHiElC5TP1?GGi+o`EKk=E}W>7?g<`dIHm{d@!mXW>?l-!;Fd!w=4h z%RUK5bQsxX9h`;eJ;#nQx-j4lR&SqWSin46t#tmM%y*ZvZQSU3? zOe}t_P-IV;17L-#)6k-(M4*PGP3GqCIT7B>*JM`!{b32hR0xv!XS$d89Yq}HxfYxJO* z!?=Cw*I9t(2zlLmHjq%RK<-NxFgwJ9uk8WHwX!37jnEuZy&d7xv~@lIQue7{-tgz9 zhtJ%o{Cq}0bLT?RGi!+pYlDXh{eKg;m+Zc$$H5BlIWpzUzW7v@_Y6?KWBaZCo8O>e z=&;^Cm51lBHCxGT-u5ReKXN#plDntJC3623qR@X^08Vs2jMZdV26tIol<_(#lVs!e~}Mr>{gg~`8@`+V$J);lgUN=MdU z6L)0V#?&i5wsnt)*psD|rUl#QTg+WwzNk$sU2II&mi1zJ^9i#@q_k37$H>%1WGifG zyGa<6@w>OAXnMt$)wS`nsH-~-#c(w4+4jZKGvtc_4?jdLT13 zAefQlCsKh-Nd$8z0t5c^^cd;rCDB-%Q!pIyQvu-}&5eMXzrz0mVGM~;&l6;6Y-|L_ zBYlAoMwHhttYfTx-O-T2Q5Z%MkO?vrg+MZrg3i)W4fG4RH0f9RU%PaS(B*ery*u){L{GgiLbWEvnR;^@e zBC|v7;sH^U;gDcK@f=IvYSF33;j6tjrjBn%1r{~;zx7`wk33?^+>d8_YU9QkbEw!& z@ZDTz%H=eF9}eb2YfP+Yrs?4NdL!W-GnRao$kB9kzQB%1^CNEH*F6QAetH|zkD{wo zcS$gleO~(9=bbT_sK|5e)6fEGirw?PhZ?qhs#blH?s00a+4#>&o{?MmNFJRHwFEuU z9(>;na_#+u?CfP7{+9GCA5oFHgF95U78yi5!7|C93;VuSH1aHjN$$#o%16ADFIpLK zMNTbFc{ZGB+T!`SwIPt(%YK0#p3c6P9xD7&6)B=JFsG!;*#c?r`ulC?(mG$Na%){a zIRhTe7j-}S4#(uzzwa&>9wb^Pd1_Q!M_V;WIjBW$INEFf#+B{R9Pfna6;YGpJMCN0 zsQklB_sfwDW4p;gC?O`VMP~b^Z^^wrAg0v179uw}MB-7Tw`0eQlD}fr#01QmxhPN` zG{3rA#2syXF0$XTN02j+M70*pI5loANQRMZM6CROjs&917U8W*2wSBw{(5qgGB?#WNN^= zU?4uvD)8jM!zX-=Ogz)9EQWF^2SR+n({X~C%qBn)!I*|yN3OEJ6m0w;b;ry_>X9>^JW@FGmo2#B|u0a?2rre^)4iCM)IyC*tO?Q^SJ@^V=MS#c=>co(p33`pPCtEk)$~JPE=*` zm$9G>#xo_#j#E=DvMQc=3bLD;g6(ata=kb%lsHq8Q|wv{DZT5!VPAOX%&^O_+y%fF zK3lWElHS3-c_xCAu4rMJiW&6Qje%qH_49n2+PgyR@x_RAaK@2no1-#9^(^(G_2RS) zokY>Dba;8K+wZy~M;B8McjE4!M}r>%F7jUFzsPnfgB*Wyh7kNv`y5Q~Y>Hxs%d|(Z zY%nxfpi%TO|0M5fI#1`uTF*Li$1IX3>Y#o`(Fr+$bk2JT7Dfti<>D&?X4=+`)+9qI z{x2zKJAzAM8k6WqWTIzxRJujl!NN}pA|EStBIv}jY@y^^$!1{ob2DEaoSwVQq!C7@ z=){z4tHUh?H-!UoYl5zd!*T=#m;g8+$j;PxYumSN8-?upwO#lwarcyqvWuNd z%Yw`+$ScLWHLpJ23BR-c%4&H0mD%uQrTQ>=m^MtQ46B@?8KCk|34!k~EDdT`trNI| zGJ1}#6kO3so|_m+(CpPXsR0dGp&cD47#SM*OnWhOcSyJNi}Q_p%f*Fvn~nDpw#v9& zx^2yG)f>;1^&ye~?b%sfwA72{(thg6GH24HOSUa-Lp4J6G1o;()8J!B( zsSefsxH&S`=Drj;`c*`v-1@q8T2EV;sZ0!ZI$# z@3Hcbd2X6#cPCU-`rn;1?DzK`@s_ONu6d32-?G}0$9BBwZ|b->kUS&s!D$&k1?|@w zqr3`x(LaezoRW`z5S{r0@c>8I3drl(xcm^jAR}E+M5x9T@?_g`pBcJDSIcznO&5}Km zt0ws-mL(CTLZt#FH%iZSle({VTOg{>L%Y0FX(<97#BRiF>FkY}3Xxr<32Lxj+nHkR zce|3arr~KSN+WIsEjv5>ozex;=KO<~z?YOSt?CpPu=i~a#oTVNu4qKBsH_OwFv-1;SXRezSyA>n1Th4OXzA4(0KP}UInl(2o zFT~k`ubgvFtwDW5ExG<>eQJGKPeJZ73?dES*F+kRrPVccYK-*{$8?y~d8=KY&2h@! zkkQiJwz!GAsfzWXj(xW6k^M~GX!VZuX!9EMyybcSp%3Bq+>2e8fxEY>BA|;kDjug> zy0E>m4G9gXz-YM#DoUV8s*0bNU6$+M^^)2zQH!2wLaC;mT98Kcoi{1ta--UfsFm`& zw#ThW(jwN?){0hB*pHZ&ool_&Yv;)0R~{hmzbr=gyS{XNH?sIm{Z zAEmigxIjI&F*QD`y%DXuee9)4spLGe&YlFsOlvE;clQz1vb6HSr}n6KQJ-Q{SjoK^ zy}ioUm66rKRb|A_K2O_vrbyAWw_WHeYy~A(f+blhSt9zz&hnRb!{m#<-OqSH_TTXe z;%F!>6Ig&v>b$x(B)y!mC~-!N^nlWRyJGfY&+7JZ+G$rj>;q|x^Xa7$fuge?iwe$M zBQAXU^qz)jwvJdWxO5s{4SI}SLl2B?%tiJWe%fBr51;(9U(3}elHu*^we;wHa3%gp z)U8>Lz2my<$JkFLA5DG)I_0$@dQ&TMCUx%`4cc6Dvq?C3dFa`G*1JWA*Vsvm#uLrY zo4(Gw?pDuH@Rkfjd`~WSr(-4y+hi!9LdhF=+syI0o!}|ek`n&w6CTrbV~C(Y;&Jh zbK~5d*3lnBE67#C=;k-5XpNtD?qi2&{Iv37(2u6PFadSyYVE3`eqPl4*CU(jD;4Q> zMNzEV2^)L=LT#PDFck2oyJ(7`8+j-U-Cks1>wi{I6vhyPNBt52AQP0IAChhv+CHNx!fFRt@CJ}V< zN2B3?(*uYYe>jd9goYCdKoHg+i$Mm`tHFO}#xuy>>u>hzPuBkh;(z$7KVJeMC*pa+ zPrH>N(w`V-;X(A4=&ysHbNM620*MYq5>N;@0Q74vK*mJ>ZpV^vNI!ro5DW&W{`CPN znwsjGKtJGLni}17W_&=*Um6%fe+T`yrlz4uf5`kp(^RLwhyI~KH0W*oQ`4qf$^WgX zs)7H9rt>e2UgBRhG$HDL>xF=WqtHkk-7^P*oKO)+`h9^QON<|u{yJmK1LTOs5`YXZ a`{!)%1UQcHb26G*>R^Dhw5gpL;Qs(4$98N0 literal 0 HcmV?d00001 diff --git a/simulations/figures_sim/figure_block_corr0.1_num_select.pdf b/simulations/figures_sim/figure_block_corr0.1_num_select.pdf new file mode 100644 index 0000000000000000000000000000000000000000..afc94b898d34e6c0a07a6c7a96ccd5782c87e4cc GIT binary patch literal 6000 zcmZ{oc|6qn_s1D>@-~0RC-)|m|`Q!ciocB5Beg1l$m!u`!Kpvu?1dxn;ANe72IFjOm z2S9*eAoj8kKtlrn(!-+=L^KuyM-Wj!8MrzW3mX|s0ZYOosri)tD<3W3_c+W@7%!qX5DHd?06_+5Un2DdAOm0OaNsB;)&oWBn?R(_ z%nuNh)8%A}eXGpTx>_|ds+RU?ty08Kf+Ly4kldOAB#qE}3JhUe>l?o_4f_U(?e2>tNy`0V-SaFjfK5VXHP+%x@s znR(4{YJFijSSmj(Q!GL?*y7pV%Isi|MebJx<&l=IXCNVdsi1na8Cheov~JDF>iLfA zBL23cUyqTS?76U5Ljvm_~Mc5u;5&S zGi)=!#{>pw_^tge;%TH`g zaC&5@u#mY02&oIN%c7I{*w58I)?fFsBUCqyt}sL)Qj0%B(%rI8w$I~3n3=lt(+Be- zX~D*qhuCgZt=%~?R)8|x1Z8Mfn)S1@M1RwN?i8Zm!M@a+Wu_~@>C&Gf5;1w_;>DoZ z$Kp~9`9*vU0YU*sICT847i4wjoD#7QLp8DvG!p{oLTn~VxJ~{9`POeN0_3Y?d)rNTjy2bhsOexDKLfCfH_>f&H@a2DvfVXw4XDWT$wN9Nuuz^s5xg<$sw-vr)P4xROgM{LnZbI z|1p?xS9lEC9SqIrRXu4Xk4!uAn%O69)tr)<*;)sg%kJJZX;43CIMhA|6+7yv*5+8K zd%O%_ruO|I-FV4Cw7QRHHt74K66~9>-~U zCr_j{oem~DOgMGJeDGSuIL^0{SHbhK-=`+sO!lqIFWE#r{i+q?Dmm_U!wom;*wcLE zk!(#3PD^f-yz$3O5I(6Zx$L*)ojH~k@23P6`cl#}xwkHOxl(vb;g|F@eVF}_zL~a= zhV24Bw#7fr?uVL6!uvBbpJ}AGea*K^!WBcAQ)ib1Pu0~vFJm;>Og|`ug@gqf7$$FB zw|i=IW0Ug~H)GY9cu#!F^$+i$n%}&LW?vs(uu$|Q4k$j>)%5ou4hTQAwopeA2h@3p z<7uV$UtiE;c6ACpbHN~1^&?wms^uE&xEf=KRr7O>xWvz8oDFSXqf?B7-8SZWEuZif z8emQA#7|iU7TMK`hYPAW#-Q{EUq>~dJmk4zu<6%(DO<)4%GGY-apl6=TLwa+Fy4GO z^M|8kiXdFU{#={0k4Npp>*#hw{FBUd2=7i#U${nHI$`>uyu*j>RJ}8AM7;dkyT)G5 zhl2J3JT5bDFkg4{zUlqa0>Ca;0>w?78mI-IZXGrFs;F^3HcrQz=o6f-u<&&E)BG;c zG9O&85x24|6mw@~lPfy?Ty+PMze#KxFdJKSzGWpP{P01|H@m<+)W+UsFI)De+-s1t zhZD}mCcHAAj$6I0(+YUjLNl3^iZ4EVqF=&v3HIsbp2<6t(ZiPF@~|zXNpp7TW5!LL zwY3LM->#7F`+LDw!rdlJ*Ng|8LnD+#201pFr~5a4EDvvbr(?J!c;sJBOfxi_8QF%{ zwXJY*-IM#Mn{ug`zpYG=&`XrG zdRr7#B}K0FzJVFpdZ>|+2O4YK$@&sK_zH|9mLqdg5*QtjSdok-J;>DvC z4D2PPl*96P#ym)pD<8h?wncA7d@yFXIMa4oa3;5xIP>t`V3yfJi{MN)^-v!CJkusy zzt0Y0-&AVtZa2W=8dE`n*awYly_3A0mpF7XwVe4A%&TOBD=i}@Yv`<{o4=seE;k(j8VXPVo zlh9x(tqKRm@tH&zkRwy5>yh7f(xl$`Y;eSRyh$!RlTrr8@|gSz3x|evfl> ziJrnLfEU&|nA4S^VayqMcb4)fY;7hiUqW9&LLV4y*#}waofL_$d);$$YFmpuSafNe z!^t?HDt=&l8`opm&*@lwMzrj%C5uxkXL!nmfS0oY_4%vkS6lO3NzZboXI7lfEk{z$ zs<}L=`F`nA?(_`#{OSyLHILx-))_UoalZb(;HU+`R7>PAe0%G1U~W4(?nU^HjQ1={ z{MM29ILKUzN#cw{Q=|COjjDi!h(PJ)?Cj+Ufv&tU{CZ5?_YC^A{HUMKv^N z`4cLBQ_Y_+12RQ>5P;4=8pK!wU8%5xB~hV;N*m@V4>Up-8w7L)Q@<&yDFYRi!LI+{ z9vZj&<`gPkA#G4ZpfiXHc+?80AfhV(WI$yepoRv>01AZAlKi43kbV%+(1u9kI}Ht5 zI%-K@EZzo(K>kud1ZzWGAnbSee>jUK(ds#ajP>+%5d@S6P?;9x`kUNnr{8bXp`j9n zRs;k`1)z~AT2jyjDvg1DGZl>br2mVlXg&SSRJrMawl-6|ala%%Dl>PrNbgql>4ab|}qDrZ6|_&i8U&XDi;mbup#Szak6zytys7gCxSsc_7gm4@%RA_m`Lf&C=_fUvS4W zW$DIh@8;j#J<;)_c&ah|`s-cJk#q-!`(lFH;UaW0XE=eZp&n;PR>{Y@4H>@=CXQxh z=I#$i{UF;nnEiOcD-n@`G=xJNxU7c0-aT+)Py*8FYcnot3w>tfZaea%jkAI7#2h1o zj!gU!e|N}S)XAIla3J5wt91qZX;GE#(q+t~0#2o9WgI^-5;>=&%Aye2?|$Shy)~FU z@2cz?U_hHA=GqGm9_u(FQ16BC<7*B#g+4Me>2X>LryZ5l(=}q?(OxRBE)y<~T`ctc z?EG1VDA+`IT(7>s%A0GCCxk^D%v#d!^oY}!sm9$x^=L{AUwiKwR8>?Vs=nls1c|UqNJ!@6X;GtlvF!BRG$=HN;uwy ze{|Uw@&pjd5y}?7v@RVzYV>RhS*T!1^ zI%?M->_qrct(1H*8SW(3KVpn@&miOrZ;u$Lnl_jQ=}2&G#b4;e-MiWl>tL(_*RT+l zY?ZV!@{~}Pjg%1c6I+(fJw1K81(@1v;Bf-4;b=Cai;>C~o0WcMRdB}P%n_NjlNZm9 z%Mj1FSOt~D+bh{_+PXZ z?7deg!Xr78W0T(~ePiWg>P1_&*?%k-=9ahU?Z<2vv)lEU8y3{)EffzSV*wqhw}#3* zHX$WM80nBC*|gOZ-J}@O9by%7Eo3=lXOneL?oi_J)LzS;4YNA47&8-dC3F4p^;o%% zlO3+Hhp|=3Ny(R!l=(>ln$U}i?BF3446OBvuCl+1qvx1Ae()r+4{EMB?H4k|rd*?9 z3aNkyLE{Eb4KU3&55~!l@Lu56O=M0KGUKA8W_9?YQk=%*qvemuH_PQa3OIB*`_(Mg z?|J)Sb1~E21!m zn%G|y+`X~8A-Is-xY&qyS#rIPVXKGNw_vOTT?11>qxTt4kWb_pruM{?KJY4E&>8k} zn{+!}#a{K&*K6BkTNc~-X1KXCbR_OQ_a~cW!mRzU%2fSCVBhcz_S&p$L~X>)pUOXl z=$+`_UY)=CK)a{yP9#~UxPVD#Lgz%(V3dBlrWnr1{l)gp=8fYE#})#wMU7k?SuWgp zp45?kjVzkNdg53WYXm=n+lpiK+0`cZ-l%k@s?#l}`%kaJv*5<}LW+2bxbI~bUFr$y zN$W8}R$jL6c1xhdb9a(@kROUZWWO)v+mn0Sh|_34U#R+S@AL=#;6w$vNr#-)-CeFO z$s9>TuF>m|>+;uE)e3W%hc?Hq-mfz)ZSY-DSmDlN!Lnd)ul9i!EF>DG?nrBz1enj{ zX=J_6v%dAswvE^JSYGK~>E!*^3&+gg9D{Vcmz;DQ-aHY6fZ& zYKr@FGL~JGB>`M8l-^Y0(R!@m6CFEQPUtvKGRCmvnI3Hc}(l> zok9CMm&mVg*P~9SnK4 zH^f{Nn?TMatL=*@8>nnY4DK~G8W%mN{n8QsF8oVmJR^B9WpGgbt~{y|S5Zv*=Kj3B ze>NzBGTrT4fi11i5MhXuh!cs(-d*16(1{DZ@hGL1?6vFa$5K~R%)RI`qc(A8OmaD8 zN#wj>P;GtB{n8Ji{i{2o6wQkSmrp@ctk19CBrhgX&{Ld?{`ou3wuz;vNv%!V5mI?2D>1pJF~2Cmh!V zI_J6~kf##%K4Je3#lEE~ubCIOJoe(?*1ILEm)IGj2C9RlYaVqdx&;b<8a}M^yW%Gbim3^t~*{h#pE2vfCtIb1u zfhte8jHgx+ggN;ozn{&Sf!vCXtJSM#wKBs$f9Ky^Unxzp$PZ`SiP_ly7iz2hjiG?Q z3`Bhl)vH5es170xTmN&iM`Ls_1oUqK0D_}EJyBHGkY)=y1C?MPKQx9!0IDg2{7G0M z$`|EH1VEIOKpt4C(McenfgmqDB7n-c2qcMyx=1u0N%HgbMFjytM6|C5Rq{h1@mLHH zbQzDL1yXM!kVvW#2>^MZsig>L0uZEt!4f@CoH#c?ymoEP=B%hZxH{}LjAP~fNV&YiN73Gnn+zSE+G7@CS3WQlLUoY;cN`e1_Ad>lsPwNI zFlF#RdLiNwXkQebYKsFwHs}x(^}RrlF~$>1-Ogz909j+PL?F$s{xur{5rHTEnhZ<@ N3RT89{s-sNhsXc` literal 0 HcmV?d00001 diff --git a/simulations/figures_sim/figure_block_corr0.3_FN.pdf b/simulations/figures_sim/figure_block_corr0.3_FN.pdf new file mode 100644 index 0000000000000000000000000000000000000000..1786b8f4cadfefc0dfd77e9908c2e0eb0f5d4235 GIT binary patch literal 5960 zcmZ{ocT`hZw8kj{8VgNC1SKFXurx$k7y#18IR3xi%#e5# zd6fxJ6AN>9LBerBLjvBNfG00A!eSf=a0Hg}RZ<)(4kl~AdSNJ%FyPuX00Qku*#+dU z-2g#m-tGt>NDYREp)k%skP*xofdfjC6HI`AFSz=j1(ZBWHWq=#|CtU_!=Ulx5C@d` zwH#!Ez+nhjIJutGzv@vEevd;Bfp*5b0LfDT13?-{6rOwnkOqo89CZX7V_yg~S_UV`2+)}o0O{IqaGA)awg(-PKWR@Jkd0Q5&&qK@t%HKjv6 zjbInrVP&`w?pCS~sMJ0%2|kLdX#3y;*G?>fJgu_$?Lk)hBqi#3GKT6BNw zMK4}!61YV*+!3GQ9K%&}>}tYxOuP!u_1GN<;?#LlX$MCb6<221*_+FApQAX-xr}(+ z3hHDVb*x9JHP!MhWci=X*zzTmUgwn|HEs$ZoU~X3I%2fdpC99^pw}-!F=W#zlUnGE z^z+NwGcL9%Yro;6lGN_Xx;W9M7dpC@7F5C>QKCHQrt2gl7W;)p!)Lsj#xwQ1Emhxz zy91FK3@7FKIHrkspIB!59;S!K=3}V76r>46Cg!G_@Y`6VGKZMKVmay!SA+Afm<5~9 zrT1A*BnJR3Q!o}aqqiTlO4f+(FpHn04e5CWo9@d3(7Cw7r~* z4I-i$(pzfUL4MoxlriD-zKCv*0hmKBcuv@PLqlWg{8o~ry6zKhj;$R&Z1CpX!Hq$y z(S?>2mgdB-fn8BqYXYHipL7X>8fOweh5FXRrpv+NHM0`4f}}S~PrwszS-qBNh2AM& z%R;@PkE|{Pg7hTVtIII=7&SXDhhKOr%~#Y8*a_kpUbClGl5jwa&a9R5fG?#zNqnTJ zh9y_vQ|Evs^R#Lc0~_IeCmwyQCVpLcqg1ohJ9Q~Y>e&^k8y;zsfl^y?Ngh(b*hZ#I zVFk&fA$WvIBT2+G9DBi4)QwXu3mZ;-f72Y6 zBJ7-FbUK#D(2%C2lQh&K2NYY{PJn1J5Y5KD#)^fL9_ua6z360_H2B8KlL{ufmARo7 z981)tryU0#t+};3IClV!4_ijG z@sj$jgMEj@^480Fiak$7FObhG>pOlv7&yZ|kwEGjnj z#PT+8nK81NofKIR76e01pRcNM7rlj?uC%m%$C)z5CPIEWQ_SO{3X=0-$hRf8$Shc&DsuH2xPY&&HLWy;?v%IQ z57$;)cxtwxyw>K_+Fm6=$&>UD|)FLv&$-z z++)2aWW;Ky7)Q|b%w&yI>cC$q@Y%BQE2yH^=^B$NDYV)Z8oT%wa#)$^C^ud9cY5!^)zA{ND;E8W7P1!MJ%i|>w0fBj z7rgi%0@QO9_!o$K`=s$6&Z+=Gdwbg>Z-TeXo%txX3CPW7Z(FrkH`Y`9V}e|pY_hKkHoo)79hW!B3gGJx*b_uNQlZfwa5jwJ|$O%7SN` zCzP__!bx5vm2Ts$6~>2k&FfSBs}7UCwWDh;vmpVWzKjS!=TJGE!DkS2O6xNhdVhM+ zvMh}l#uu+&X*24)w|uRDV}~?-a6x{4O8E4>gY0mZ^3V`_`0JJG;GW%$BbP{HHMymA z%xe@QQ}c|WreoWa45D~}J#bY!duVOqCu!ht`fzpsuq#?*^RQ$3>H5VgMq7Ik%>jSZ zA?AtrnY#5U;QS~5ZbH>vd{E_niI}up+e-aRS#>t(TGOYSC)IsIw3?e66h2O#d_PWA zB}+3S#lSgI*tL8-CB^Y@r0g(VslEEJukXuSx{j>C8AoL8KBI6m$2l^i{P}nPC#_Im zsA4G0iSDe{YkK-azSnx=RPw<#!4 z%8^^5Fj!M}82pz4!kK8Q0;PYa|IJSniPFyoq^+i=3d12Bflx}8-EShJM8D6dLO~!j zr3pwKaR&)UP>O;K$dm>8%}UbbBmG~jMA_3{tdyDJX=XZcE@FUqm1vZ}6qPjS>S98p zb(*LZFMb7lf=Q?40TnM)-OOFxIKJ>WMCfy1zFK@0Z&VnyanQft3v?!|2 z?$y<*=k_#c(rE6!i$SHa?y(bJoB{sWzcQi}(@J%eoz!5(3#Kwkjak^*o3Q0ze=s=(2M>z_ev%zYG`jg@6-iivmN zU|%@C*8ph}fQR6}NHw*u?(^O9j5w#Pf2sb1fmEAJ6 z(aXb#J_it0)UzhS89$FpFYel#w9kk-ivMboad1s_NIi>j|H`8SYZ@sa)pcdsC1uX9w5%=1p0_a9Q!##~ zrBM-zJm%p5{v3Sv0kt}i{cK=u&iSO^3J1YrdO{AfR0!1lJU$5iSxSaMJgCRv*hgv; zi8EP&!W)2IWv0-u*Gz0C5qO~5Yp!QumJc}RXzA3LjkuDI^Q)<9(Xc5m=a>|8m4+|n zI(@bIDuloAg6gzdU5>E}3yIB#;j+Yu!dC02%qY5Q2Sb_TaiQ$3Z#Ez@+~UD?Ey?b* zcbV2g4ci`mX0`+<1r;#|GBL~LMN2TBd!?Zo@5Oh5nWyXl%VQd(^7{vu9&}lL(^gpf?m(3%@8gt@FsFvy#m{@MYpoWZYy{?xEAIol}LA!fiV12lywt~8X zAs2rWzp<7RA5=JqkH?K?RWOtH6E6{%_(sE#5vyROH>rvi$mW?6Y&OohVtM75(8gJF zkx?Q16$3(WHIW{cs&HIN$<8nR}x zYTnh@=q76oA@(saXnmX840ox3m?ZqrTe5V zOIf(Ajc^TSj17-%jdTx}4$I~5nx#Kk&CM(&s_lnC@?B>=Wj*>hpc)1WELe@9-jtNHV3DqvxTgqpzT^JG~h$ z+IF_hF8naOGBzgmRt)q!fkP2uE_p_x|0-I#$yF8Van;Ic*a6#j7Tyifm;B`BGjR%9 zeN`7+2IhoB^j++wn}69CAvSo<;GAkSeKe;Y%Sd8c8wwF;JuDU?c2ex6XtouHWrvMh z^->+l#SN2*{^a7<6@H7=#nfd4zFk(4CN}=O^V@sdE!(MvvV}VXerRWOSKSA==SbFV z?pw{RP2)d9Lh?gi=k~#dhg!fxRb!j<(VYOen^UHzs=T*s#T~i%ow12ltChR&ez3C_ z>ORtq?#cJ=+}_*1un^m@)PS{JwktrNs#C8cqD?&QJmY*r_GuaY7_&4JyF!afoJ$u} z2Au83?0GBCRF0#Zzv+Av#;2#4Ep|^;lP4g-J*Kbn)n)P76XO>ld#?mS}^2m5J(nO)VZTS znWd06lVuXWW!7@e>||CEsc5XA$>5~^hwN{{iULGM+K2I}9%fq1g(vnQwUXPAi0a8QWFECf$i$g>>-b4Q%n=L1+L0{*UG|XNnjirCbsl@ z1h@RQo9%%vlS3%LNZ_oO7?h!?Eob4B{i4(8x<*{ZP%x7m@OC~HWF3yd>iMl@P8TS-% z6`)4U25N9(d*SXt=HmAiCGW}IgQ}DL>~Z#vb}KLD+)HpR{yDP@``mK$7wP3AxFTMF zI{f+|etOw>95bm^&qI9k^2b+mQpG|Y4n6SE3dinO zH!h64UH z2Ct*Z9vl))b_OZf`gdf3M5~~2$ln40q>glQLXh1+irr@el#&LyA<+aJP!-~0OX=E$(*H<9= zFAWSO--9U6-x@?xhJ3O3mnH=zo2&oQq-Drgn15+d@PF!&9ayq6{J--gAhQ3_q$MT( z(?ePs`j5Tfu`nbGfhF7BK#(cY2SGkB5TuQE!jNxglzD(mFc>_LVnhF$4Gs^(;(tv> P8VZE~`1!9JY5@KRG9Qkn literal 0 HcmV?d00001 diff --git a/simulations/figures_sim/figure_block_corr0.3_FP.pdf b/simulations/figures_sim/figure_block_corr0.3_FP.pdf new file mode 100644 index 0000000000000000000000000000000000000000..28242de63bd25385ae41c2f421a7cd32ef50fffa GIT binary patch literal 6052 zcmZ{oc|6o>`^QC;QQ1kv*vT?xFqV*I?E5ZTrZJd|8D_DMeGAD_qOxzLgzU+dH5q$C zDoY_tiY%deW;&)mB>^B)to#4FXM-Z3 zDW|M}`Z&0+7Ycy~niC1WL;~fQ1rF;@L?Ch0U3pokESRGG%7vv$k^l`2021R)tpf5_ zH9(L}kS`Jl(t#7;Xsjm?WC8a?;(_v%04v~s4=DZX05y&pjYDDxe};o}uowbmi3ckG zIu5cz;;}>=f^wh2KklOj{BDN{65~nm0#e>D4+QC<&;-g0Kze9Ob6`jW)*VT$8&9D0 z%m)y7x7*PeI|F5D-KYc(C*dVt>=x?;$;eyPm;-W>EZl5xjRc*=WkH%K_1@hw`_THyLVimYzIv71K! zqQtE~@X`CT^z_$_!22-zka>IK6($VP_L9lCdF4)~RA)V}B;8dNxM$ z#VmOpfLv`gUzqAxjd1YMxSl2(ca$`4zl-on)f`ZpGQW$L#m6mU|m-%Gc2!E;ZLX#O51CYR;WonWAMH*nf^GaCyZ= zqxCvVVECiDwUyqm;fZFR2FCwf`FAswmqda0iVRpbr+4yfKt$GJ(5VEWfxn(a`$ zO_eF%Q8ZKU@%roqjVkh?@TAxdpkB9(6FbO>jOdz8h3YvL!4PjP$=J8(Q^d@JVW$&D z&mO0+$0QasKU)8qwMh44jVFW8w1DPwDU)S?M3R$q1U>Mer#(z$UCSw+Rs`MAE?n(x zVwAWO>bjn%$S`4w-aVomZ}d{JC+_?Q^EIwBfGP{~YKv_j!*9l%Nlc;{fZGrJg(Kcf zY}3*4j815>xlC$4;>zURPVm<<|55!t>gy-krZZOrA9!^FNA&y1Cu$L?%6ffdzFK6e z3gA6gN=OL9)izCxhq!6*sXN$Z9`gP`I(k(ns#MmX=fV7qr)zlD26MJ34Py84YxU zH|RcaROYxsqcfJd>U)~=&F1-#eGT_Jb$Xqnxi{9*`UV_}XfD4VRb*4hs$;O4t~(X+ zt{iJ>#1!lrkd>(J{ZQ}CMvlkC8Fn#U*1I^{S6Om5&X7xaZzUT_nvleNpKm9BxgGC+ z-bTTD(aF}&it8#k=QY2Ns|lmx7uYP*vPMii4c@9n!&@N0_3#Ql6zX-|z%@@Ne4kU3 z^?dVXzcoeX>+of1|2dAQCtXSPNd1j4ce|%9YWip#jLszPgKxtN*j z+Nlkf+ZR!?>X(X*qwBk(cf3*I^~0#<%z96z9Di?A0A*3L!?iH@?7igd^fneR7|@`2E+>yb60~dW$uB3Iy%+*%9uIt)5h3<$ z_U^{@){t%5at41wSWBDx#^}bIA7krf;jVJ`dai3GF|Vy{cOKbz3u?U44F%L^(5`8? zeo5$FoBTq;?P`mNY8LWYaehBo+}yeTrnjlYB&3ePNnrciGImI zR8KMMyKk4L_#cJ9=uUPg?;IQQg$EIiR{Y}-lO6J=cjzyPWjdx;KImZ8t*m&T3U9}#-zZZ zoSKW_L8R8U?}U!Gu5UG#o@&f<87`7A#)_X1 ziOM>^*@l8-2x}w(=merbAteJckl+FU=}|ZdsHO(eg8;$QOMa0SNH>t6Z%v>wp_&@? zI!a137H91XNBmMicq@HvpyKcF|FRiXqULh~8S3b0!|_OWAe0*A@|*UktKVZKqv3c-PXbC@FKN&gpzQEU2(!*VhMY^6Z5^cmSjytO-829YiSiIQ0eqM0>#e(Ccl$YEfJ z{RMOP;DDnnn@Cv#kC?M{+_en$q`9FX)1{>D0l8C3*M#T6li55M`Q~sm9z%y0If8t6 z9t)kHR8~=z^O5msl^73qIlPm;>!0Zw6aI+@Ca~AJV;`1%lBTK@SvR#G?}Or`aalcL z(fmE0>;|GqeB4SrMe^f+66$KzH81Tc^FA6xP)@IPd%I#A06jp1`pmM1C&TLy^`5&<$PKi&7JyNoJi>AA16Q zwsxH6Uf%6J=FT6*Q%#vyr}tQgGaYD41kY%O@zY40V+AsXxJwOhkeGV(>AsPZMzXVV z4u+zBkn9^xe)MsPgr^|%VUR{P%fYqVhmN!gKpI_5x)n{{WjgluqxJ2qjWo=&bhKI$ z2}k|hz_U>tsYhTyZjOk${L?q0D%`~HF%a`v6{4ZOrwNgWSq0@|vXL*`j?Nshk~@_f zA^90V;lY^LJ{C@^cmhzTkMD7;Ln`lkI(i*e3%(o2MRl|dXgM`k^R4djmB+0Vcq}_D zOAyXHp*gA3kZ`Dci-fNWGl`%PcEP?k?I z=AE}@SsefuBFk7KSXfmHljK;rp6O|)1&T1T3O-0>E2c$hPN(u03p6Dfq?PqKaWLrW zf-OvLF!c*?#?BXJ7T6U)i^?sJS>)W)7`GjlxB}Q_HP!PjB##U((-5Rpd2*6u_3ZQS z44+-DS!VsJywAxHU4Tdir<@Kq;S=Mmp{?Pm;T=m+iRI}@hL=`5JXD?FTTMLKjjOth z2G;{ZSVGuB=+CE+qJ`%PzV*tNoYl+{q`GWp9eu@p?S0uBd7iSpW!Xq(?%w+R;tO(5 zFO)g#_=S`_K?(L`#z!#*+UMXh1?j_j%Epbxfm$ML+X-e}zJ(EuaSn!RFg0^N(NEgrALB-AA+}R`DmE%QK{dFf zP5KY|9Math^Ez{ui4q4Ao)QR~m~wNZb<;R;TyN##it)+@SJk~1+e z$EemQ*XUZmAE)Hm0^Sk2<&R$>`|y3@{&`y&TXWmi6|tAlmr~`GFBk6x-TU&=Xngvm z-uT=5^5dlOvGIoc0r%gHX`-@FG2ZX5tc@r?_(C}4lk$S^)7^BH_@$YN7)7#zu!6nU zr!l_ayAz`mn`8Z><)f-a+ctL|trz5!x9A+i>=d7}?KRcUuhCg59z?_eIy2G+@40^k zml70---)76wx2{lkq_<(whWF9UJu^=%D6B6UF7@O{g!=e22}<@26~1HhK7@0;-ot{ zI$h$v$5mcSzIHhodYZ_i4zZIzB{!&qQEc_rhWaU8^cZ!+kvS0k5L5X#KEYEbpfyUy z;0It{NId!M0R3V!IbLR%%Zy7qi6M#Cgl#M%yAzE}aU7M2mSK`A{l!5DDXn>1}w82pG$~B5=8_ zqxIE~=;)&8z5+6Qbfg_TQa$m7A*ly|@bSnA&^{leQsJ+<_;q5c=pTBEjeRE>UK^hJ6Z(_) zh~tr&h{cHen!W8eBS~7t`Se;ZwV0#GQMw)Kg1!cBeLJbmTPK&8mI7jPs7rity}c2 zs6N}sRq$1rs~ai>cNqr1jz*N!8J9JpKgoV#&pn1chE3n-2Q8V4G>P35S2yxEeVeP6 zJ)dipwrSJOWy6$PwqG_;(rU(J`Z{k%QeCV?o$gjzmY{D~EM!n%XpdA-+l4 zYIBWr>~I-z%6F=&cO#T6_3zsbmzO*UwqLE3byRQd!IC5EV(L)d;S#m7(xA{LSq~TU zG`o@8h1J_(t4>LriMriN&_?vV*9p@Slgf>#Po?Fi0>*)&+{P8gQbzBvig$x#!|@tgfh-eZ~2$%FCOhqU$NE{2FHh zYa4n?$`(RiZ0rh*soUY5KLk!OKD%1To@ch0cUR*kapmL3_hX0_esi#n%6>>`@pk3?B7c0Dxd94-X{8X{1_-PCx}kkPiw&!~<2JAU`6OfJ7rb z2mr8x0>~XpF-P%u6cFTzgZon$7mgrOQ5S*2A&5R6Xk;J|L_ne4DUuHyfx}{epvyQU zHIQ-=jzCb%O903nMM;H6;ejAo43^-I^Z!MP00rTbu*qy?k<0GU4OCuZxH{(cKtO8fUJp^3BO!esz@0z%-}whk|@)`ufF^d zV}L~aBMB%3902;=7a+Bxe|KpEaYzq<91si!$o=&Jp^A#~ia-zGUmAqsMN>Z@<}VEl zrOZM9t3ec$D6`K$G({+7T=|CvRie1b|In1=C_~BrYH|?pzvAQ|D*w_H6)2Vc*0s_(mM4Hke zh$4uHN-xr@dJ|`ynLBgud7krQe`oEz)?Vk&yFO8K9X%O{tUN$8d?x%;_+U8M2@8M# z!9a}Lb%44$0HlpY!0<>6S_g(l03~!(pQ^~gMOg?%`Tzp4R( ztOI=!K#(>J4?|%*fgp33CjtkQqXbw2|K6bVpAFPFYBUys#{U@((#D|ilqC+R{Bt|V z5`n`IuyD$G^8Y%I8t|(fCJ3}A-U|o?%gX^ldPo$Was!Yaiqae%1RUdzpw^AUQ+nnD z2*~MlFvf8zv9_#{hS-=bMuVjFoo-1JMGX*A)BFvg5+by{p~rYnNJGd13{pLjii- z?Yg3QIRm%M%%-}25SCltH|?5KvZ%R|)(7VVi|D78RgGJDx9;RlJWu;93&u1+O|Ex~ zPFk3M1&S8Jtt-X9`xz43lCLi&#vkmH2e9VLL5!~TLx`YSH5vDz2oltey2sFRrE5Rw}tysM>f{s493>2yi({>$i`UThYHMx1zJv3_Xnb4Pit(;<}s< z`7DX>O<;V(yO9PxE*L2X{=6X45rK93ZAAVI`NJvuU_cmj2JZ=?5xQh)s&jlxk`xA^p?ACFuLeyV&4B78oxz}t8r zUV)chQRlc_>Licl!)i;kmCTw&3gl;ce)<}n)CfcD}`So~?-3#u;JjMh~e z`>`2S`xA6C43=Xhd4_LP|V@T*VL;F^<~#uM3=ikmEP{02y4!WmYjp_vTq z={SBb!XK**MLz?w?1|G{);m?HET=B#Xa*K=2My7m04`$?WSRdaszv0u?BUA!>FEwNDSXrY)ZmhgE z-2LbfKn?Fx8M|QS;^eu>6MkF~EcGjK6X~JAnGB3=hfR3e zGrvKegRuJOa3K04FKeAIYX{|r`bl>~I%JNx{7waHPnKKhQeN%J9t*ZQtb7OMzf)d? z4x9RIQ)yUl+VlJu$+8Y79ZS;M>eJZL&zecnaqA8>vLYJe>H(w|;2!eu`v9~O=SsXm zWswYc!hj}DS??oBe7DSx+YZQcPt{ERzr(c<F=m)6E*^^nD&280N#q z=nXG!lKebPP_=9!_IW2h>~J526bKd=l`@@s2Q0_G0~LJBH!58z&`)ZJy2ZT91j!7L z^S$oaSKKxMf6I+q*eE`l=ziv6X>6kBe>F(I0w07ZwjDJpRk|9aOgiTb9tb{M+s?~WLj6d+pL;E|xl!HZeuJCtlRg%Ag1J*5_lLb2Gw&7^Vgqwu z%6A>+&n(T-%Mes4^=4nC}AH5d{KosUxdG>+<3#=f_@OKZ2yU)Png?{CVb+fsU# zz1JD^h8KGH!WBDwD9B{-qGa>vdraTX!B=UtiU|LWFU$8OYL8}e@q8m!cHUgujWw&w z+qpJCdJCG1ZEs;zVsUbr`B=*7{Nu~({f|3j`rzQe!?Y#0WG{8+-7*;)X!~;IOp|A8 zUg&;hs|P9f97DC|;l1AWmCfDd;?KoPzsbQ{a*w{ zt?4gwp8iThhoYJGt*+MM-qSmleeCAjBvdxX9#3;4GjRV< zihL=ljpj#QT7$g^gvLB8X>Mb0+=-9pm9mCyj%c0PtE{K;rUPK30TKHM=+!&8jSG%9 zcd`*IDx1(Kb-rHQzzpK+=SlHT$tvtENvW=UJaZ@Z8lWv=@JPI2jAj?+a~0psD~dD{ zwZTSJ%Fdfb9APIeJ+-2l^aj+0U28@rgNE#U$V1Nc=cB zXgZhJ*#~A;NLMHJGLR&Of;1xh}!XkSRW)8jq?(%dDFMpepe7p!jl#PGtp0|@urJq$IJy! z=|_{3PR6u(-jbmCwSzq7Q0;3s2Q6FPuYG|9Y~E46jfZHvD4{)qN_0A24$S!OpPtQ& z-4kZ~P7vZ|J38MI2TIe`=`AqKT5_qraRq_qSy=Y~ms1@vjMMn%75<+6;$1GQfYJc+iu z#s8U(UYpHaAnk;xwwA#$F3qI}mJbEWV;1v0<{jrH@Mjunn6&F2Sa`7?a0M}*1D`Bu zbEsrP(O0{gDW6D*;%R&J6{;*O8&UT>-Iwkr>uQu)d*(Eo9pF-UDO(sTn`%KKn2q~| zo>pqW`IBsCAKhXvI)>DIcT1>9xFNwHwe+PUCxfmo#M~t9RF5!M^h`lU{?&ZN!g32n z^ZO4kj@pb$TnB8knd*5L^bZfr)8H?t^4(9A)w6wYZ%A;ydY)}d`GAWdG9R71sg zoYb$xNq5*xJNSzG+WKD>IaT}RzaK(s~F!ocIaqGb5_vp#26#P5r|7ik9G zd8Oyhf>pOSnbJaw<(>T?-fHnc%1-LI#8=L%(xVc1DJP47k~mv=>n&@i$5|x1`~V$4 zgY`0YmsbYy6&)51#ny#*>xGz+8mP^!@-wgjK^RVN`F?eo>i8TdstD$P!sxgYk;2k>pB9xNlTrlxvjS9WPzcav5~P2a?eQlh-%@s^}XL$ z^6!^7Yad4K6fxU$o9aKP)}AXGfX4vZ@1zbqbl-xM;1vkp2%?SKjggIVL0v%>LD4}g zLAzTg4=#K=|4s0q`M`=nmEkM{JwpXU9n*Tug?7$%=a_FXq~xSzwg78CQ`vv>xXPf$CWrnz~aBC$p zB=VcElka4=qYx<$BQlXPr(~Kg z*ad+5c-;5bQVUe6xS=|`H8$R6zkKuUJ`Ycc@m=G@-on7H&ArVtbIA>h4Opio=VJ8f zI-R;^w57kZe@bxVAsq{mC0GAWcT{PaXZhUaK~I-47ZDOO=?%(r$7n|q(=jpF)Db)s zJHzqCY6bVfc2H@&?zMl<;1nkMgJft;=&c`$Klo`KXeYyF!^$+fpQnctFBd(azx?_# zOGJN!ZkxtgUjx^dJGYuPndVN-`A0_#g$=Fb@4iTC&xj@pr<`OtMLHSE3*)e09c~S4 zbbS?(K~EBC7U>mP)5+E`EC?#(D*S9q;EpgXPG0AAr{+vSo#j^pScbi+Rte!4eP z%5!jGvcXrq?P9+2#{-d1x`BzZ7sl*zTK4wXJ4JIu_1TBxA@MTtYbyCU3*w6or*caVO2>*@uADNR z$lHHWIe7@JmD_~IR`*pWR2TK;WUe?ViUQab5ZdF3PntUA#|KBl zI&_}6K<|Fau)4D;rlh)Skc-U)V_X}?H%xoQH;9|9F5wPs&clum94nu?;)~~c4s3?X ziysBqE|Fv%G+Mea{o%DywMg$!i5l4ppqmY{9?oW|SBLKwRBeYWIVN%?=yob8)}tOy z#J!Vvt6YyMYrsw_uHmlBfh&`gQ)DwM-5)>yZUi#X=1WY zP{LMr5F|Vy^rRWb2-km=lBt%t{LCC?Yf+b2Y5c_4fzN5&8DU;qyGSG$Z5t%png&;R ztdzWa(-hc5T3&xkzFKNy>#&O^xvupGwH^#G6viYFvxq8(LW+7yJE8ptjSYr{Wi<=! zAs<5)!sFoSFo#h#B93ca_tvfX|; zHu$&7lp3Pvp0f{QZDA3|qSKVh>+})Pm6Ro+i)R9A>bi?dKLz)$?Fy4MuHu}&1dN}2 z5nsTOcV#v&=VCfxabe*z8QyFhw3ZXEfvW&L!+b>zjc?A~9K645dYWt|_)BsP4 zi@Wo3<7eM8-1CqJpBN8?RT%^s)M5o<8$oK$t9-diH)j$K)5*5Yq}(QM-<6SD|ziQf_zj{zHSBFCnPTJ#mh;^THN1783@9y%4$bYMHUIc1fT+~qg>e?2m z2A`}Fzl8X)74mHU>^`hBYCvc6+=PC&7*QN_$z?C#$Z+gVc4_A&=^svqeV@nuTLX@u zU@kRCmj}6HD7GdJhXjH=v9KEy#)ZKN zRMdqdv2cQq2MQ4Y1mTe=cZ%c#gJUshAjl1ipaxQQ!r*X7u%3dVv1{3UP#Y literal 0 HcmV?d00001 diff --git a/simulations/figures_sim/figure_block_corr0.3_Stab.pdf b/simulations/figures_sim/figure_block_corr0.3_Stab.pdf new file mode 100644 index 0000000000000000000000000000000000000000..717c4f7567d99546725ac5d57a8eb4a4138a247a GIT binary patch literal 6064 zcmZ{oc|6qX+s8?EWsfN_WZ%ZjFh)t136X8=YsMH%jTvUik~M2cDTM56!cVp&QL<$j zJEiQ(lr(`PBcBj}h>D9Op53Z?X>%0)}V+L55fynSKJ0A&x#A1O`p;#4!3M zk?Aw@$I1j6Q<#K$JvJ0b-|AaGJKhK_$#?U+4zVYAjn0{hYLHZeITJz7-cX_4CKp zxqzlwj@^`i`l$;`OQUtymg+_Wb}LqXOh5TKw7EWNNG8n9(ynu`JegLH)d4J(vECk% z%3L{BospU|mV9p0{c84?A!E~Qchmh~{9ZP|wsg>F^oHxHp6Jzw$0RjIA+`if?{Y`u zK_SpuxjB<~*ajzXf?N0EK&4WIjghYJ49CkXf7_uNlh{SE22gwFNoLVL^&G#-+g~|) zlH|6oQ4T!F)iPzONoFb%-MFp!uv|9ufgCJqGZ?JieH6Q1pm&&BW0=KijySYdZoR&=kG-e@{Krpm>i;I)Y|ArK*^>zd@e}MAFnGdVTU8_ zORt`}GCI<(II;7kQkwi4SsZYF*95_$wVN&r7E~%>ASx>DKKWg^j4$v(_T7 zo+2=67ze`L$D%zrGt;TL!{f-VV@uyrndf{xEG+?Q+Jt5{q4i51T?2QQpJi!sXF4vt zy(IWdwkm76n6DJlHTQ{7&cg0Y6YeqtK6T>pP30QR3qhDdo5{~ zJ?{skWNMw@f|_<(bwO$a}Md7>54~1N0ncDO5-s1 zTbX`QLhYDw`dJe0R`iY2?2co9@7#vGjn^>BX|Enk_< z7n62k0jMOm|E!na%|Yu1`~mT3%>$w#&#$GeY&JV{l44~xKZ}wa0)>f@v~|$3<-{nC z#~rj|qaRoF#`!ah-`&MnfG5Hs2ZNCjc6%-IfS46RQA9rua0&v(dqsLGUGc%SaezcQ_|ORQ?Cq5gECQ$U6D7);6)nsa7rVZyGBbN(tdD691X9=2 zd$)_~d8gf%_x+uWQjjt26)qlcyWKf1bvNCqeVb9%S*7q;1h$=Qxy$;HdZyKo;e z;Xmg5Em$*~4OMZ71bWxr*tm&RYw6IX@_@jbt9s%dNTtwp$qlvgwAS7s?~E~*mR|QO zxjMTsa68tQsl*Ar*Kyq^BHi?Ngoqu<&bR#1^ac;#idI=dNFJRF(PIy-mq)k;CKtAk zxCiUl(>w{6IjG-9TnPBG@(WqZ)HU@jQ)o+hi^;zD@Vx%y&0@ECe`X_@nvr+U%Rllo z_0mGm2ZvwDqp2geIjM@n%1C_KIhia(@0xlUf@Iv3Q<|Fmo}^%A9A5RYX-r^t#qO(% zQ_reNp6Sa))3tz)L9NBIc{Txd!A8`z&%Gwq_nLBM96lVas|}AmIMhn@zRi)tW0IKWvGEHq_qWHOcV)US(-L@7H_F z6-P&M>#W9&G{`xpRr3RDT~#Y01PUJ#D!EraE^^#Ry|Ep-Gq}At?%LSAKA`&W0-<^v zjRuLP@NBUFj;pTs#?kZ&+B3X&L?j4!!un5V!yNWAHc@YKx&&4Hj`|(R_1QGm(N+YUr>z|*o4==s#E_9+|p;yXZM(*kE@XSMT1XiqDoOrq_V zSrg97ilC;qf^Jkgq*)&`nuUU%XOUB0nFqY7ZvIaFPF?To^xf&}410QMm?{`|M=B)M zuq&K$rRM3=rqvnO=`*xPZfqk;i#m;^CV+kMs-)c?of{$-bk-hDuiSaoHk~*N>Lm*SECkf~bWIzxS=t_qr0)-AeU?9j0nS3fzAe! zjjYKGKGfD`q@$O_5s21)DD*D{L_!+r12uk!|CiGk5~H3o=$wIpK8l3#1i~0muD{8T z@%8(RdJNRUGm3x^n9Eo+hLIFxPNzB0Zzj{AAL;*MGDc5-F1j1RRKr>H7|Ir&VU-DHx2A#D5*Rw<<%5c#=?B7>9~se~A2tD2RA0K}NT zpU|=NbDmXz*(X68)Vs41J7JgdS_Y@RH$o>KGu_;eVtszzfir@qz(Hu9)){|2(c7J! zndc)D3yx{dudYu2$gbgm%mX2>l5m-VyCN-*4+Fn`Qye{$)W-BPFSW^03e04gkwp8n zJLv)t>4BfN&z5Pl=*f7fZZ@E1G9cx66=HXr^hwz{WIGeXtF;A*)&}&E1{N?M-%iOb zUe^+6O-gYGh|oB8n;@;S=qU2JSluqd+ZsTKIgCmE)|BcJ$=VaAg1#jWxvH`l#58Bz zbK&C%$f18wu#dNMpx;SVK)Ng*AnRfsd;PXx;{4#C87;B1U+u8w^%D!=SD64uv3Vks z*WkXRP>?U6R_fF%xE5T^SH-tgek|N||L(1w%js^>;p+f|#BTexeOTrprU#{%hRMA+ zU#u{b>k6}F^Y=KaJBTTvwv}=?)L;B@h#RtFLD^fWVrt68lsWH`0_gq5Uf$twg9{;p z$kyqNcc{Rv+wfatuz{N<-Yd8i(eYwn!S5^2QeNDy1p5z)_!0hn>DG8q>RCiz>3QJ! z^ake_g7K`G`mwsZd0D%>?LUeqo6@hn-sK-kcQ{ZYc~mz{oJn4hAIN#dQ)y@;l)KA_ z^+O%vx5(x z@jqhXontwmCm(;%-yJ-6Rp=%&0w^LB(U32idbP@3?j9Q@pIeuCqj(Nc+jEo}#4PJ=V#yH$O_Lha!fZtLql|#lr-}r#A?n*xL zp4k1^PM;|jCGHA@V@)6h*4rV{0##!3t^nf47TIX&7=SYqgY3un2flH`f zZG4vI#}dM~9&OQnXO7>2>r7-Be*_=@$-+c6{v*!~^-}_+Ir$|kZVD71!0NufDPAnm zlwh1v_QF|+?d(~w<@r?ZUJ2otg~Id#y8>9zeJgg$oO?QBwqx=axxVn58D1)+4iCI% zA}gN+2`3X#&1zLINlIa1S7Ex_A7hMv4cZO8L7`gqwq$yvFlR{4q! ziU;LC3fU=*$&(dbtO85p?bU5Q+qhI_R67&|BK(av%LUwejIUL7SUHv06p?K{#E#TM zY$px1Y_tr5>WGP-Sl<~5DR;&%7|dHG$bXafmPgw}-?zY6H;qxo43{03;fD;MrL03p zY)L)AC#qgSI3Xd&q~0Xgf3W?-W)y}h_P46oQEANEb|6I;)|r4>h; znuyk*s-IA|_gNnm8_J#-nfNr?J92;IWYHI!yZ>1$$hqHQ@GW|~_^@ranNfb70j+od z9m~~zJ7wUW=Vx#!S%dPOBJ=pmJi{)J%<289HKqL_d)&@z{BR(c78rI83tBh)R?Sw@R~e zo+H4a)7iIfxpB|Omym;>_6hBd^$_&2_8CQQRa9lFynNWT{o3V|%WP8x?ebtK-W%WD z_y!#?ntM^g<7r##%O6ouMNuybsHlwYznccD-r2iRiN8T7u_kL^QVGkpZp&$ycJjvG9iS<{I7Z zjxHk=Xp|ldQ7N9GAA#0HD|aeO3;dL_-Vvr_nxcitkqI2Qhibzh)l$}!r&s| zBEiDDMHjjQyHmT3(N!MyU2X}Z@q!(cZuDZ&;@yQZkv-+9CO_>qodWp$p48&mphQ*W z35V>~-CcoBnQR#&f#GZ5Ybw_^v20o8Olr)%@J;JT4t_$X}6W9s2HhMuc3+X1= zG`Z6zm(6B!wKErTktv^So*l8_&Mn(3np!uDCDz&YBBMhD$&LV=$Rm+uW%>IXD*4fv9zZWG$v!-`OUzXx zxHnCHGV7E36uR})Ez+sYb=W!I`N2bXatW<>&vxj3Nky>zO0}xf>DDd+HL@YP0edN2 zzFt)s6w;*Xi^CfJ>IZ-&_Y^Nsd5$@ib_}B8U;E%BDrT5JwOao;^OshF%S9+aD#UJcJmV}Z>AcL%iF6Cf+XIE*S3(@(MCPVcTU|| zePW5Sw`xp$U|MVH1aO&j#aK2pEQeA|z8GJ(H@i~hwO0E2Wphw-_3GxUQM)o*d#4?I zwfhD&`03sNTTyI6Xhx{kH*uJu=5{!B?{U+)qVoC=?P2p_A0p#fLaE7As!Em$rpm9P znDWW}d0XFXVEE{C7p{U()_6z!K%8`(c=+AjwJ+^@aaV3UNUjg{-gWh5Zzw7jTy~k! z8c!RMSxa6K*Et$k-`HJJws@s)V@G22v>nOiUEn0=^J|5IdFD%b**a;I^>&3xIf;T{l4cJp*yef-w1ob)U#f06y0#7VZ} zY^UPH;vR!exvm3pHA5B>zNL-Yw^ZjgAMslod9j}|zhd>0Fk}2kvZbf_>wCMsDq156 zKRD$`5(#a5n>*5y@GWcSSeW|v8rNmuX`SWMCqKHkMV&%V)ySQ}{QMmD{&Em(Tm7)psx4d;03< z$U0_&{Oa>}dqB09+npy?;iNg072luD83BUOrj42nr85~}@4t$E-drzBvd9Z#*@@oz z_Ak`d`U^w3{xl%Z;^|%=7EgB|8QA*YFMBLr4^P7W7PvqNtd|#t?m9ATMQ5P82FMqS zr;vbJFpximK*r!OUSuw?x;n^{KsQQBBrFi*O+;O$GcF2EVW2J=OGHzAy>OU7Ac%~` zdD10c6q-oD13?}{3?q=f6NN_8jZ7|(Czf7{ge3t%s(1p~6XOL05q~v_rjtJohx(iD zL&1Bah!kHOib4j02;Kxd<`TUc>Q`nGgWO&J=D_}9{of$|hXwoVCIGUgc#wZNvJ8=a z#V|+t(p#e64t~w$j~HVN?lOjqMWeVtzvlvEO!V)LZ6Fcj#ia%WgSpiHdVnwu4X6gt z3;34?q5IN|2Z;Ym1H|Ijov=`Qj=G#H$I;rWNA38vqh{=W zY5hynQ2%$F1`PJMUdTig7Kb6yZFL~X8XJtEpBD%^hxa1TZ)c2ofRF?N8OX4^f6azO VMiI%sCZnMVgK^2ooV76I`X6!homv0@ literal 0 HcmV?d00001 diff --git a/simulations/figures_sim/figure_block_corr0.3_num_select.pdf b/simulations/figures_sim/figure_block_corr0.3_num_select.pdf new file mode 100644 index 0000000000000000000000000000000000000000..a760fe6742affad3154227bea52f3faaf5f0c28b GIT binary patch literal 6017 zcmZ{obwJZ=+sBcVfg&J{FpyRl8>2xfX{19+#uzvm+uVla=q|+s=@t+HK`ALor9%+u z5KvNSM0qyP@jT}_=Y4Kie- z#KB4Rp#P{x4){F|Lj>B5a03XDmRA6Rw2>$R=>;Hd6lpkG2sp+CLB2PhK$@8cz&o|g z)&RpR&)Be0ngqu^mH1M^=OIKBB65S3N|jo%dY9YirknY=`fEF0~Kr+}_9UzdkrvTr1US8SA0l)KT1A z>bWMs-#D%r;B^!cu+tKlvd2%Wn2K@o4nMx+;bgJtJ7h|P_87a*CT54-(JZ4}$c*Cv ztQ(rdJRNSzfHtS^w+(LRmDOIo-kYD{xE6}VRez+Q9!!jQoZ^+t__SwSzi<9sW>a*h zXfwNO_^b^0FCFVrRWFc_v2?ksIZokH|^s3Q?K1$=?0 zbP_CJK2Ik~Na{qkb^_C|uGvch@TMgF$V3{t{Yu*QeOvL((goV{&v^7{9WsN;nLD(H zhPob{L4Gu(IM%vyP0+@-X4lu>SeFH8vB1KYL>+e@7Xukn$hg-_kEsrOMfu(>n&|57 zAHKwr>^Ms;u&Sza5tsw)XKvkUGXNQp`}k9M_JMwDKOUpw4A^0p`o$_V0VJ9PSZk z{p2UFFu)}QqH(a3H1;r1=*FTK$FKz?+nDpF>mhYYa&WWjViHycKM|Xf+(_Z(TH16C z%D!-s`vQ(Vfif*TN5d`Iytx-r5R(>^2S7{+#)`|I{0#CPQP@P3E}=X(hH};TfxL z=-7O>KK5d2=weQR=QO+F_3@EG^qdh2(_ES1<}~@~ zepXFL>z|3(C)29U$T&f6+Ja=qStwXqp@*04Dr-kQ_Q`>$g3&75)!26Ws}=2lf^c}q zP`Bx9Wj8WpNTmQ!pdYVuKg83gvkbjmR?3L%w$#mFwpC-*G(#ykWo+F(Dr zY&2$N$J3^`)*J_o++CQ;a7Sk3^ z;&1lC)}eX~C2sNjS+&tUPpijGV=CU!Rz(d0Z`$SgC<#fJ1_fvx*k^9Fr<0e`$UosEj#q{ zMm=UZ)-=3^xlf!dTTk?Hwm)Z3bh=fza3{*=Gxet=XuQDGNeRLf#~d+JW648cik5U> z^L>+KuA}qL5^U}J%-pKYejvWimIEK|hUE{?>NY5R0w1(^{@P5E;8^`lgVbm8-O8}W z5@Ln5-M+>9RE@|Y_fmdOZIb(i!pG$jiy!mu5iPs<>$ISGiXIVqJ11teLV)M96!nTU zuMl&o1x)doPv1Z+l1+yvZw=402j{M279v|4PV4>P%N}{ee5@2UP!PdVM!yaQp zWna2GUd<*P)RqlPN>z`?E5_FjHoqypd9#V~^ZmZVy|f8a@Y%su*X_wjAPVC()^daV z?pP0tTEOQvDUUy=#?mpWsfB?}-`15@RRwPJ?n$~#MavE!Jnhp7q*xr7g>q?f)SsM_ zSP(s?jO%mS=s1_O<$W^rD=QCYDKyg&<ye7`lml^W(*O03>hJ!(ibuD7 z@f9m;m3J&k7raaQwi~Ne>T7;@%e@|(3NWazu6ozB6X0$jo1L-vs3CB7cYEt#y(sAW z>BJwq>iq#H&#Z8rxdU%H_mI85oO15QkAY9?s~NN2Uc~x(mAntECKuDoDP#&<)4{>4FE^0m)Qj26Q0N55|*3F<>Cb2;qW+X<)p8cG9GO zGKz9Q898Z(zkv`LWPXDSiMQb92m;U!L?S*?2ZT4l0RYk_K@d>RJOB4oYj)lR0DImO=js{Tncldw7i!71**@5&lH8o&(gbPrP9OdvE z<;bVsZ&W9<6Pnxvq=mSRgd@mBL03t52Ko(IvZN>dUywz<(_fI4_Q=b^e2hJ^uU@|1 z2mS6h%qVqF)$1loNr36k=r`S^5R}uhz-pN$=AVR!%>?CWCYB4vgr6`iU!msG z8oq@+%kxOjrG#txwa-RR$~6C8fO|%L-=y0Haio^w?olYs8$%oVAjT}4v$IQWQSq^E zPIM<2Hz}x46f@Y03JvysZOUXy{||AfWY&F-`r6aLgYObUm*bi#jx!$AToVLSm?Xt5 zecKOTJ4MLYl9WCWAq79>oCs|(*dhuB=0 z5S@=#WNC;?bmHPzI=Np1X%K;j67(X}+A#~|T>e+(D8%kfNG;;cT~Lzndt#6f$$1}& z8Qr(nHwQsB-F>WGOl`g0wo)uY1yNig_T~}s_gQ0S`}&NQV%xf(e!8EYeC*6eLJd)%2UoPZ z@(qE8k6zk!vPRJ)YecB+XFSQ_z7)f7xKRFvvsQPj7bz%wCd@1D>Ca-0o%naTMeq{K<|DXnKFGc;5V%Si}^&p;LE zq=LJgs3%UCNuN#+65j-LtDOl8?>xh17D)hVcJjUmx4Fx+Kt-d;Y{L8Cq_C!jE+w1V zN~YOU-lB*vS+2`=%VGrXT8dMeRhgzYSPt2I>CQ{j=QrDyF{5ZIoQxGtCWLV`zukl= z@JoeMH9f>q`JY)2Gj4f2!)yb%99+O0bcR_eJ64*R{f)LpqPGw|vq14(mRw4t+Q++m zx%@RTx`_pyc4uj?TmhRHK45sq&lWzH{V2;SOD?C#l+GmW>7`-IVX>Ql9cCkK_w1g5 z-en5HMJ2AZSSfAm%#{9f%N5Ja+X{zlw4qt>IB)`IpdqgaTLonWR|U^df?_yVdmJpk z+~%3m2=7YFsWx1hGYb3);CIH4#g9fgff#yzj(~loaNSFBs?e)&dPohKgbZ_ExVbu@Q2do}+9RQhcRlr< zV&u}qNSJI7^gPu1#`+L%f9lBK$hV<)gGGZ%IXf09&)2fjit07LhwbK`w(Ky{$*j;^ z%I$?m09x)R_C9sl2ImuGJ%4x#*Y4DY*2?&{`y%!ZPOoK{2}z?++qEpIjs_{ z04)t|32oJ>uMrnp&bBy2{D>%xkBfJXljHQ{QiWK_oR;pDN6R+2YslS_zvepVgzGsA ze+My=ne^}-W0b3qHvkudc_5KJ=elVY>v|$3``NFuYsAvV@))uV-A`^oArfo{B|{|{ zBeq#u}Ra}xRIr^%7_oMwc`{|nErQ3Z( zv>UpkY8>u0lzx-nxv{xn^k-;jPH1OV4{UIt2|Q3f@|8BW9RT-mP4m)F_E9Xkt+cp3 zGS+-;)&Ii*2S>ia6NA{U9G~{B{VndL_?j;@IQtccJTzmKR#iRP%*(+m!7ubX6%&yu zUFUvBSV5s%(UN+fo8yS1VCm`7QIy-R{;oKtb-b^x)vrHtj`frI8h+ZkPkyZGz1O?G zDNOjZcwlAV-DA09o)fkwCW01&3e`HA9tIQDb2Dkw->Wl)^n_e#Ru#bNI(6>et=l@a z#IWQQ9?~Dwzm~Q4Ca&dCIFUbro{6E9K9Cc}YImA-54?1+=CC=9Ejxj?~tgW6M@cEqil(_@3XWCrwZ$^3`B#YC8IYKvr=h$w+DmrUK$isqt>O?S<~q-beMY^??6k& zLNy`}MOF208%?FFB+sRrC4RGLVz*#OFE}h1$!oaEU^JewE3PV1uS)eeG3l0tE^|Kp zcgRbbEl6ZVcSTG^ZddB#HG4T>0E;X_b1e2nT^n?)Z#bw`>xCoa$^0Yp`&%ONN_)EL zxO8cZQ_a{nqb|{J#H~ihVB2Pg0lQ4QvR6)oyrp-Cmio#AFEZjc@D}DU zC^5L8KaE*LH|#&`v3_`+`0-vPqO3a$)o0ahH9N90K2dc}%v!1s#6QmWq8?8N*Lj=p zSo!hlYZI8YX;o~Q!3zUhF8eVDgvra7Ux=RiJG$}KMt&u(Yxy5X>wM};SHFH3vMR8& zw%tRQI&Jj$HXioU=0wC0lZcAn`Q)_acLRG4Yism!3M)Ui1k46}4vwNC_9XQ5NIsE7 zlwgZNcOx}g6<-2+joC!?k8Lga_oaQ_TfOWvwR2R?(94nF=;E+iyMQgkHw9$Q(|zYx zqCH2e9LXD53sQDi=Sr9NpNskaaLBs8G`)@;yEfQ)lsLO$I*OUntrn<%TX(Q*by%`g zg-7>IT*Gq^s}|A+>tnt@+2aX-{wR0&0#v>9MOA6jsX0^`K2a`u8F9QF@OoL`0M-`P ztF?80T&F{XCd|0D!cRuC54@jY#$h?SN2OkOva& zi3cjmfo^$X2nZCyl>h)kp&%Cw$@#?NkwB0e4tATwxG=aU8Fk@E9Ng2x6@~Byf(S^I z3rX^T!EqQg5af(QkON7XFgTp#OaeeINKz|25)TAPp)mv(gewq)`*le;iTqJ0*x&RU zo@h51&eH=0^CSR47&i-G1VHAV&V*kUD_JD1 z7*}B)q$`oOgI{y`BSsg2x{V+p;V=N`_gsMFiT>S!^~NDw0n$J)7$E)E2b7bQm5~Ly z0{_w=B%_)90nvYHU^&tr^uHPe3ME;<|IlP1q-EnDnw$)2NBXBGPg-mKSCfW-|5Z;K zqWCXORz~h$J!It|e~TmFU`P}KNAk&mAakTIg7jV>NDu9bA#G>md4S9?7y^)#@W*WM W1Q?F+YcjI(U`2qi@D*ciz<&Twxt@{$ literal 0 HcmV?d00001 diff --git a/simulations/figures_sim/figure_block_corr0.5_FN.pdf b/simulations/figures_sim/figure_block_corr0.5_FN.pdf new file mode 100644 index 0000000000000000000000000000000000000000..0f2dd7af11f14404b0f45fb2e408a7e432e008c1 GIT binary patch literal 5935 zcmZ{oXH?VK*2XD<5_$(g2}qTaLT>_sbftq-2_ZnnkU)wc(z`V2MXAz31O%lSiU>%r zA}C5zL8^2_&^K|$xpVKVH*5Vr?C0!r_CEVde&-P})zOuP$jAXiLKZ?6Lxw}f9k2ih z5Ddh)`~gr?1Aw%#2pArTLF>Tq2%xx*3KR?lgXN$Qh&)6dsvrRXUB$TmziXCAJc_i- z9H@tdd3hk=IG_mu??u3qwwYovt^_y&OJ0?gQILUPws!tBPaYGhcN=}j`sjUl$8~LAYCL1Pr3m}7eyM54g!vGMUeZ(;Yl;| z1o&om*%{$D6j@p~t4*zBKC@h@YQTnvTAGCz)>LBim6V*>q6gWkQ;tvSoeFdJ;<{xO zyfjm1-WLXbv8a67o-6AtFg@FHqisV&w2|euX-COV)P2VrHM3Kt@0p`)G}PTN%&P4g z0NtL>cZPvj6|GAF+t44cYk%IVo&|S&SPxe32@>#0z-}7>|GQ)J*rZapm5|?xYR-5W{^3?7zoLz94&agp< z25jpJ+s}zId{n#O3R2Dt$#xHCpptOO&yaw%X98lAXy}#BGD@_*^|~3uC)ZGxI5G2u z->E}>CAcuAkX>2i$%2j!?p#H%;?`rN_Eo1RZy^dt#C+B?r#r(zkUp%oO`|n{kS3#VkJ<)Spgk z6SGXm*gQ&of!#b~&2>bP9uX3ZnCBUJ;x+IPF<?Xr)L*CGY#{xXtcveNNrsZR+cH40i-b7@%Q# za`WzvUiTsw#jLz=>C3a)sOXkE@q%19IG2wYBi;NfyhPK6o^a{LS#AG0m_lSqq;KaZ zhHWNJu~*Bv>mu$ZKU(G8f9z8fg-qm^NA~a17KK)DD`7)g=DeI=IcM*^mgjp_Ofq)xHg&_=2iGfaBTuJl8T86cL=ARoU7 zB^vTRT(qV{n&rL9FP`%&m)Uy6T6p40MHyM{ka4|z6|%pe7rN!cx^M)pW zVU@KnYoj&oEJ6Kk!%2)?w=6Ku)3&UVzy_y4RqVDnvMa9!%ewl0IiGS2w4M z)YmtApvoe~*xTFE&GM2(k+c-)EX^c4XJ24RckX>1uVKsfLHOAAI-vMsBAYz=;Icq| zJ(xvYnx8tAE5TM=`k2#@{!Z9fvr7c&3mfY*E2ziHiC3vukv@5Gt6;h*!y%}MQfZAG zN7Y9ui#}(Ez88IorKyyaJRViSP{(j{5pUUYf~nm^sgEZ+#-F&VmYyG2pC|OP$?37= zbB;c5!BUuhC-2R~&ICcpqE+T7PqxOQb<) zL&V&Itz+V@jM^#Bx&==ZaSXY2(9+{>@cqoNr?L8+d$i`-nmWC*$h3Py^T;_KjhPfV6@{b+!dkH+W>Hab=cWDJM-yie%N24Ntqw&uK~KBGo>?O$ zpN=8j({7nd<|tSrFOY&8dz6cewa3s0R7}33Of}LA&Yq|?Pk^#-PC{z6z|Px!2?#GC z#N$or7?M3&A>d-pez3vcot|eAoAf%P4f%~4(X5bMa4AXzdbwIgF9`O ziij4jUL@vPs}QTk-XV*}`!5o+NkQc$;m6u5p`Le}k_DZB3SADcb97kyfkpXK$K9E; z+*}qxmtz|>7RMypB>>$5l1lo?*kae{hFanBHwL0R-W&P*Xl+9fA7n0Pf%57>6H5uGN*|YwK2dqM( zsvUc?HFZlqJx$XBdIp?%?Wtd9E>I}>uE7EsXkQ0zqLMcOK8YgC;l}hzwFZXW?n+ zPWU2b$a$r;SddK;271E-{Z{0RRX=8AG<#7}_+ul|c%NcR60I!6ck9zfg2W!xVlJL{ zJ$J48(k8P2`qG+4&W$H|!^}|uo6*FjZS%~jS>aU;qMF8xzi(`&&yL8OuI*9Z=8cSJ zmc0yhoiWuWPB}q-4Q(#byMUy?paAd2CiePjN*BVZmq;d+qO14buu4f6?%e|&V1Bxo z?7w-#ov{SjhX`^TRlfh}wZR=sLXp4z)&GJLGIRXN1izu=PZj|gAzg7mdmx!X%z=(1 zR>2TR%mD#{t|DBKu*(=T&X z2mtAlkOiow2GWHBA>>1TK@aGPFJ8|APsTGfHS%$!k|+$;!V3ofrGRkedY6InztjJN zNo0v!&mLr;t$i7WL%0GJ$XSlR!HXRIzM~eIbkO7?ARWXlBpg9L6m*RQQ=q?)2rB>o zAQ8EzzmX^>-N({mnk#CUs7N$TW{F81x#?j}rO!yzPm;L^p<^*@Poxl1(6RK=F-s~r z0~MbOF4Rt{6^eFyH`owCR?Pzq&M@K+|?nl;gFDRDAYOyw=HGw zzn_I*R^EYztMT^Zh87TCKhB6P#w)Y6#w9uPaxa}ZY=X9m!o%5jgDJw+YN*q^K!DJe@v@@Cq*e457Bl~M7#Nw=)8P2wBYrP;d5Tp zp}^@Mg!5di$HJ}Apwufm{UydghYzEMG>rsCjj2+F&%=tbX`Xj)m(fG$JF5#dAxSkHQk9kBpzw@aXN^>w%Zm`5xz^T4v{_C0Q_qNKU)HDM)LhLsFXOL>Tq$r{wqF*9Msw5y2+R&cnMeWbB5pL3%F~@oxpb=8a8qC6~@-P<6%Jo9` za+0qw9jjnvB3ls^QuA%%`67X)82zNuSN0sVSFS)zjZ^9S1UMrW9;O#q7bp}~n4LDw zDZ4abH6i{7V2|~x?#+jTqeIIScqtX$oLCuMoBRhO=a%c1S$CC=IBCNQ;Bk-yo*-j> zQO-K5I^H_I@dV`v-tIV9N$vGVDwF)HF^pZ<8W$Ag8Q>1f9kx3(stEyM7Z&hd&y;RB zs9lSed}%dj=OyN4{`<(3q%Vr#N*Us1eEySU&KXc$2jf6ZwarQX6$Km>yFT$h? zl1Frvj2ex6wS?LBqOZO5dKlaodEG!wN6my^q*cUB-%VISB1BlwQ*d1@N9er}5t!1e z>&lE(vo-#387-P8I4jm>mVfd3#Z%&6Ijkio#PJs$%zR6tZR9L>Egc?ZR$njh)$!Kf zDra-*)xTTy(#)>dvJh|iC337DYBjB^Y^kh$yAB(>P4h{QL#iu!L3`dTM*O?DyExo3 zyut)w(KJDr&|R@zQDW4VEuk4PM;6y(Ji_WFIAdaR4C@VZ4deT~IVH{&@QqS0f7yi| z!Hx(=s#elgCRVL0qOTQROIB3B{#N56WGTv+>v%=O4+Q9Gl!8?;EQaQz_iDeDHX^ zAg6+;{XKlYh{>wws$PDb_EOOhJQC2Ek~CE2x(g}6%M(rrBF%fvVa>9B-F{|%5q|4_ z2fK7fQYXSE=Z=U+7PKm~g0wWWRkRI^Tai+o9G#AlCy~|haq%v33Ooc}b*Qy06L?4w zE#G?cvVymwt=pJ0c8~+!2fZr$-qUZIL7`632vP~*gGLRW8=(2zG8iR2!gY=7ax85u zpE28bN>(Qdkzh9_9VSgL-6EA|%X_`c-m`9{;mE@ilY@Tm5zrIq!tP<=F%I9Utjdyp z^Q?RSt;4p%Y*XdZt>FN)JG!Ug9o%O;_YVP=wvN^}Kf=Na!(J5(!p271A)~dETePv= z0Jx`Hj?ZP)+sak9R6g%cPIuU@`A>c0<}NY1Zxq{Kc)NS&aOdn&eA7x3)?wAL7|qb2 z(?CR<`#Aa}+zI$q8)Va4f&*FJs2A21QK5<&Gri9Z#7@=@AR&IErBF4yd7PYVgqD$1wPdacDA zIv9GTLtW5I-}%*kV#^NW68(}-MCeHH$a=xSi@478hyZ~EI%fK6x*#4HyBW)9TX3^; zZ)iGAwGdILUuaV&OUK}$Um<59`@;u?H+p<~QhW5_RW3H&PBG)r>@NvD@WsN#2MeX# zM^ZCQUTPhe3Y6xLgch&dj+K#`yq?{9c*xczk}aagHhLFwSNiUzazQrj(C%1p@l&JH zM%0GP27B&l%xO&WW*=zDM7T*bO-$YJ*3}QWYFP`p=1JR@?Oc}hxur*?lf|vq=&!!Z z+m}!mC8|?rBxQPA>a&*6eTP1k-GN5c4b;Wd74>IltUD-(0NCUa+S9R5TDs(>hbMwx z>O66R-d{|&NZAopR5{Sk#pZ%B&P~(XSNp}b19sY+LhL#mNA2_NYo0mdiX! zxQ)y(NZ{T1Cq&$7xL$8UhHA#zb5od&Swn1%(Gw#(UWaK%gz3|#D**(LX}R4}y|y(qZe40+V|ReAcHSKHYdadEEsTr_$P7^aeqKRWaX)DAsJY3Yu)O|D zXW)F`myl@cfWd^pLFxO_h$^qjBEq)wi;n(T-=OjL-Ka`TX+y?&swm;8^Fa>|*Y`TL zqVC+QNvIESKXmjw{j{)%eZ}E}^6RuQk@bYt^Ow&0);IJNmoDDv-#ic)SGUGFeDa;9 zdvW(6d)~FrdD)lJ2rFN{d>n@pjr=yV@2cafK+iE>Q6tkkOa8+-Uk=tZZhzQ2uB9L1 zPH=K{Tx4Y4}6h0AMw?A3A7 z{Hoa-%m@8OL1J&qw`J?2s-*@TdU(bb#~sk{F?Wm@^Zot-U!dGct>X$%{nCoM%2(%( zFje?Wt(XSl=WgKhWx;Q-uJ9q9oeS^udPD=nKpIYmzQ+cWDOsgm8j?R9z7Kqy_G$Ay zhJra&<$pNr9*b_kv5BABJ+a}fc5}*jZWe@_lV0`w*^=qQF59$OyD6!W z8Myq7XLoC(G|nV1koq8e=lj1z?L{1LmiXr)wI2;lPa>v4Mkr)>S zCy-GWj>N(Vo^B|FFA#)BqFhOmCk&3opn)J4EP|X!+6jZhNj@R~Ff73n1tZ{rAdEW(jkrmw2K#j~j!f>3|1dy*vHoum z|I-2e^%4MC5M1!T3{kR3dSYCId6HTpy$*iO<@1XzIprlvLzce|yf9J`|lO7=d zvsYe;O6jXZ!B8+*2?~KILzJN~X#mIs>;C`lS)++Q z)Kiu~Lp%cKg+>y9W+WnxM5G=w$79_|NEDv7tEd1|fKaucxv(@z8gStP0EKaO(Hoz=39*H=xa zUfh(JGwfI)1lja?F7qtz)V@5Z^!!mZ+vXWTwl~`2{!Vs$KF3sTn`@V!e25;>GUwe- zWf~}P>-T@S$jHR>+hxe1K2y-V3SspGhGcVfy*$5kFH^R2QdXL=UF;;*ZaG`7etFm~ z@SGj9gjRwYy4`4V}nV6~xmDabD@qjnNmLYpT)DSCV8?_{e!&?=%m&ZqbpO zJa$Sj@qLGfXY~#|y2Ay2Guc=zZ9Fa|azQ=FE)xkLP03XRh`w$dohL1 z7Iz@q+<{xOH>x?q35Nag$}2c96)IU_a?E-$<%)x-{XOR(twEl&s6`n|Rvs|eL6`lq zT66^lxT|NYzIieuCC}JOymas*!*~qbKI?Z+13XAskEf(`5QiVh&6;b<&{F)}@G3Ve zrGCYMYtHk{tD&|Hht$Vm$Mx?OAoWu;%X{MB^IE7V7FAr8spDQ^3irJH^zBurR6+(k z%o9mrljapjnp26QLD6tfL_!SS{=ogMF4cKHTyR4664IjTE{7FfX zQ*%g2tiXevp**@6czw>F%|bCWd}7d5q<+O3O#LDCI9_vkAwKH_Qzn}PQ$8Dsg6L7c zgRvCR;^^J@43U%4k$#%CZo_*0oUu~LY-rVlsTvr|C6&lowh}2^X zM#1&^>5MS4_RAuulKX%PG?6JAjReabx-u*jba?*$Tg`{af0qf$sRDNe)(DV6jWedLdJ zQr;CZ3r9KbQ#%kQp21hQlLFP=_OcTk!|~&l3ksEvv@y1M3^`&fnbZc*yIqQm=4Q7n z3`!XbLzc=rFg`3F?w_QKF{qO|nfl=xW{=n!zH1ik*g1v~3KNuT$*Qz@*Dmj@^?jt4 z*>bv`9ejE}Hcweve#KkPbgZ`L`b_5CjS=MP?(dK}9V7Rajbmr&z^~cDT>5TWsFdMa z&7wDF*~P9@_M9>=YHjou@QW7>XDQ_;Sy_SQOQY`ki+*Gx=KrA=rdHvaUmvR>A5yE{ zcB;-$yqZ#|@{OS&&SmD2>RxtiFPO-$fdhC%R)8kg7l$Z=@t*7R>!fPx#&D{qq|tKL zQsz~&kcw)h^`0KB!OEMg=enPiG$I$m&2Y*quK65W4L3Q0zsTsjb=PAQ4EjvqrDH){ zc&@aHUB{@|NOwFzK4Q1%LRa)LTaLmC$`qX-n>=Y5uvuh_Jt3~^ey$fZcP%tUNjoVrj{zcyI& zR;;TiOZIHdw?|S-fa)(V9%spJ)f64FLqO5jlZ~tz$JFab&{LNOCUnbeWUDMsYbdT51w3wcDaMm6D3?`HjWgazhp% z5nmfwK4oRCV{{TF9N)r{tnS05O}}z|ATIbuT8kFE>ZI6VH*4W<8={9DMkOyjxW3Is zDTJ4GJGxVDd-8ZoJ8hNJ5KmVRGwd0S237xX_;G{W3sYJDivRY0FR*oOP-_AI$ z+W?_z-H6l&G8(GoxlR8`$?!zfemD{N;ti)%^A9$8>eJ8InH%$e%KS4cp#Wd#3 zx(2;l%Q$rb0Ne@<32JWp;ot3g^=;_T{$ZSxc)-@n2J3|j2J&RT?Y-@t*rB`hv))|? zt!o?K(hJDKz)1~l&BT(7&LWl0wlj{QfvwGl3Aw(Tn-8%d$X-@Tt>^DAe$>2GNubiu zUtsYU7tyfiPb~SxMStQD$QbQT06GC_7-R`_q2dyjM8zHm5M+XKMBRni|UTTeKd^Ej9&Dt?R{fQem z-ZPm-?p1?%oO^N?5Bf(}A+csdWt zR|nnzU%|(s8n0Biqnb|@pKE_NxjAb3oq_NzCac+Fl%Xt<0CE~rdl^M)#J%g0v*pkLREzoA{w7% z;248BH>1ot@4Vx(2V4v<;|k;CQZGsXbMgOSpquJ1&dMcHnZkXa0j)iqa_+uxb38n? ztj~#;`O+nb`IXxz`i1$T=Zi86Z3|(=4=h;BbIUJG*i1-W2Ylu-G4L)L8XaDtBg&}@ z<|Zf@*cIfAoL#A1;o4O_X|GoGv#E!dNYD6O&oU42q$ zE&gOT{?RobNCO~Q-bhnl z(@aRBUBUwHAr6xc7Z>pr**Kpo`bM-3nEu?rodd7waAj5(BbhJq_WV+ZX!l-++Ir;C6iuzg5*`;aFl_Otk(GGgb$+nKDqb zR?`cp#V2ety*K2Q>yDe(o3n_QI+F5~LRv>XFhf~2Pmm@IRvlJVPwFX_GL2ZGOX{#* zk#*91@$tEr>n`VAPU^qGCw;c?%qZi^hh69);*fNxVIyy2X4AeZ`2zMr_CfWFrSgFC zPcJS{OusOgn5|HpAWw`>G*4F3=3-YmhTTEV*s7$ zsl(;&yO2_%GU*#hqUCc-WQ$^8PoPC$bl^td{x0jG+&A%WXAj#Bt(euBMVOhGtC$;4 zeu|OnPx$mQymWL!LPmu z2$UM%HBJ~P4(QoA*g3tN)V$h^cV2TT!LT*zH@0Cc{apN#gCdU@ImjG&hUvXgWfh(e zmUSqeu9L2!)$G+TeLVLr?@433UQ=4Tf<|KJdEQ%X5Z>BRRHhnV`1Mm}vC(g(L+e6Q ze!za5p?9R830n%Q(C&Sf5l+^*U%;gELWd(_DB@CwmIw~+*0-0^x^r^*#Ij#>#7Nl4 zM&bS+iJh6zWZ`61juX|ap{Ec$7M!C`!&=;)M`SWpi?)dlh;Hd;>l+mX7V{PJ6y+3O z?e*`y-3v!nU9;Q^VCt=7vdJA$({??XS;XUTz-LbHedgHPtpG}2Lo;(&T3pQ=5AGB;H-Yl7MUhDEr zli57Y?D;&))NSi${MIM($_~pWOWI9On7q#4lh%@K(_*}nnsvh(&Q;2K1g%%xfyUMj z*2dS~AGmjC!x<(4;8sTIO(i^T?N*wiOoVmmKX!%QUC6Xb-;q>N--qYn^T1fQ=BaIy zf%Dtsou{thjvX$eP6bYn8r+B_%l(HoBM(X{1MSwT6&$tNd$2>{^-=X`?@*~a1vyY~ zvx0|m-J+V$A!|+veDRmMRbWj%<*(zWrCzBvp*Kq(m`a z18@C9$KUk$RAS2-@0??Z6^}g^nsc!6xl<=L=(k77b!5*27hjh8;`=u=s-^zXts_zcIa71~BI?I($deV3FNp4_Vf`Jk*M_~4 zi-oA=F?FA?!5bTygKJ<`O{ZF#x_w~#8;$VlT<<)w2qnCeU-SLZn&ro%*t}J?*0g)2ZD%bA9t$ci$LPB z7$E2x9z_eJoAE zWthr8Y9ZngXde`wYODi6R_H(!^}Rrl5yk^coz7_e09j(OL?F%Z{@EJ>5rHTE?2NJs NOcfv@amma8@INf_n;!rG literal 0 HcmV?d00001 diff --git a/simulations/figures_sim/figure_block_corr0.5_MSE.pdf b/simulations/figures_sim/figure_block_corr0.5_MSE.pdf new file mode 100644 index 0000000000000000000000000000000000000000..b96213c82ecfd6cdb45dfd09b69ac629a215e1ca GIT binary patch literal 5995 zcmZ{ocT`hZ*TyM=66r`2gir+qLIQ*?RY2(-=^+G&K!Pbs?@gKr3Zhg&P!JG7dQ++* zHAqoJiganx`1co##B>|NH6SZHp&?HF|aODaBfpRA80`k{x zfFLs;F9Z;z0mH#O(5^s`5zG~V1xgVEOo0DQko{KzDUKA4L7;GdhJ!TFC>(K!1yZL}w?hwsa>cm;A(ApsAV>@8fg_#(q~$?ujwS+*c1Do)jl~gr z<_YjlZ?o1#bIUR}_Lk1)23SS5$?mwd*f)=GJke35SEIMK(fXm2`BF>m_}F5--_B#} z)mQP+E7i%&MV-Fu@G?2cdQQh(>BH4ELe-J14j-io8qdoSg9F{+87=@{BMc|;y5ySqvtAD~d-QP6GT*fLeCmU9#G z=MH80O#i_bu2j0rI9QhRYdb%40laFB9_a;-TKd8$53MOh$>Ugi z*km~-jT%&q^(Rx^ZfM%)E-WDo(q76YXREYcViM~vX)s9RN;>7++?f_GYfh15VPIUs zHCKKL60XG$kh(55I?0U?Pc|~p{8lcY_(<1{ywEkOP1H_+oPR#^f`u_OYhxwpLN!gp z9P@-ok;3iodK1j{t$pP!ey~q^>UX9?uJN3AxX~={cRRRM{)sesddnuQsHmSosgSM{ zBP4xmC`rheaC;_2=P~~^Gd(Jy_iA-&Z!Vwcn2BR8t;`4RPH?_VS!c35OWE@29hky> z(y`fE{?coU1Z=1E?&S)$Z5rz$16G?N1C~mQ1VG6{IK^DA#vLU>8=F+GbaTarLt z+ek}m;piPBC4`HT(%==g*;C8ZvC$(xPwmU(C zBSNAll#Wo7=Bbv__eMx@pBoDL>_kyhP38KrAyd4QcI8J+gCE1o?$eX528y>xHZ1MVuqV2+kcT5e4Q4gIo5g8ri2h(ec!Sw9Zno| z{V^J@x~l`X;q3MNRc-5*R-_(=+EuhvoAd?bKjDDX#8h9O%yj>Gj?W5TbnmIM zp(ipTrC~Xn5#(IAkjJL5xgGY-JtU1)D_ZpHQzO_O*ZD!U1CMX%KipTyEAnl|FMYHc zRuDfz_j065w~vBn4l2Fn%Xtkczbez}T6?8l&9NP3d$|HjAe8ZPh^>11eZQGgdpbHM zNm%)gp7`e^DR14H5{g8_s^F4$%)F0{tZ_N+YL)`W!QU8a?e?@oQE7FdB?&JVpLsg8 zYxjxM(&El`oT-fn3qj31&$f~82|-PkX4{Nh>?>9tuTqVFSZdsGl)Vlu{A?FB!dCmRqlYey-#_?ekuU}@zl4N256GwVb3C!p@}4aQ*mYLjj%9b)?`h?+-*? z+|N7A+ma?)dr~w(?4m8*QZ(_FTVM&XR|*j>`z5D4X`EXCo!{5=CUjVK1lJRrrCgJo z-O7X)*B^kppE`)0-`HSucsMsO9Eg7hALjh_s_ywT6r?nl`&X3sC_7#%nn>@c2Dgdba3={2wjAcF=5xSH>tdNFf} z?{b6jz|~sWq`c3|v#9*VLnZPYSv|1rWjea)A}q2UE=WmnPJSUw|yP3N5>3RnWL?)@;w%D}I| zOg)|Z^I~uS?-7?&*6l)Sjb0&dI-?x_y?Y<4sbibyLryJk`dzG$mw7y?R<~F5nA~d1 zrl~DqW>{aJ{~LiZVg_YoLwm#D`BlyQQ9`8K!hp~5Or+TMz86~)&;1K^n012()`1ll z10pL@JHDvgE4a7AdoQaL6&d7^VbH-driAgix*Gqu^ki{%5qGlwb!~h9*u5lH<|&>3 z*HX_H7Mv~}tU&?W8=vNOI=)P9VOu9AN7q;OaVLjWlRvx9SD?wAlqsh)!|oyp(;1XY z+OLn>y4Sz*wscK@{kql7+LpC{PM2Y4Pa8e{4Oga1-M zSQBk^pv>>^{~{JiBGt12UDMD|hhY)UKqx87?l-iNM!(OfMxrDXsR&3DaT^IokQN0Q z5J3#|8>eK5NBX~TinOP{a4I9^j+yBwTU2j@Y=cn}W6Xm-cQ+FX9l8dc`x2MHG>q4q z6Uq3Ynr2>_#`p8jKtv{jb2aXl@yA4v8<#De;?x|x<#moL<(hLb=eK&F)$S+Xcy|Kb zvl@E8x~>Kc)siJ1hEcuKv!V&6&9OQ+IoB2)AM5IPnw)lxjM9T_!mGSooo!c(B8|d- zB+es^WtY97mL9lwaEYK2_m=D=>p{&8elVHQqqw=ByQ8+8?C<52Ez^an4BtPhl-BQ& zyxzlqBNSqhjQuHQavs(jc6o!Z4 zu0^W0qraDN`WryWM3TlNX0fKu9^&vM5lE=`v=7;Y&U=To0g%WeJn5`~(mb)luesw>KK1jpCzt^Pk>*@^5dm~vc2?y4&mqoew z=4-Zg_Dp&0(avT??ed;J#`CZ-9SSx^gC1Pf?8?^z>ZQD~>12tfN>h(i-OYNu%g}P1 zH(HZ&_wz1OUy2pQGrsexfjnd)mzaPwe$JQsRs+tqYg6uZ$M&Z^$~fo^Jr1y});sQG z6AVg#YimNPnT>mXJU+ChkOq=nRi#{1<(j8tX+Bli%v4RrFhNP7CK7$>mLqr~^jspj zCXoGH@SALo2cgA|7oSt(vzesBpk5rf5cq_&+-ZrBF2_@2jhNt6H9`W2H0Rk@>~+?j-M_P6iXAacACp;gTfy(s+|SHcZjQYVvy3QuDtnb_WGso(b&q+#MKN@UKXK&pODzBX+g?83NC!BxLc4 zu*A`ngzKnZf{EuO^=ZlJR_l7J2{La*8?<^o4X%!~x~8P5WXLVlC}gbTA_x@?5#;ma zTfUgV|CPT1nEYPLnE|78LvLIiC7i|g?P8O0_9d%Jr$pAySzI0z!CkU7_Rf#Cls4Nm zvwiuf)GEhY^Onx~3ugQGI(Lg(jjf-V<>Jg1A_poU=A&BjX7U<7<(Sx?R5RM=#M+{# zG$xH>L=Hq;Mc`)Pg@y>znnC=a*5ZvtIXVrge5yVZy0G7{Z%VB|%|}f|T})j?w;n0ha<0WL@+h)2J}%xV z4$6V&REAhc(M$HoqGTG~)uFd!Z@3INV!F@4KS1=QzIytO(n8B+b-_hoE=W}Og^yIT zb=^_oeQXA7>aoY~AkHf-p!#Z=i zVFUfm;Qq3qb?Vr50Nm3hb(dv*+tR){X7T^=aSO-8erN zU$a<)v0buzhN7*~tZG1++_Afp;1_m4$q>Mhsh!*rUhu-Ta89k))qcpHzm&do*u!=E z`nD*#^-FJEt6yK#6w8e1GWMHguk2{mr#l~d$I%hrM1v}V5>KEfT;$f|W5Kh*FH}34 zABF^|^zU7>qcX2H#5dpjjGz@1; zX@WRlEXIueO~JK}??Y3lO8Fc3yZBc%(=@L=_046?WqJA}*P+9^<3WcGyx7UI-9Cm8 z&C-hRfKTU6Kbb0E-xnLJ@ltwwB}Z;@pMUzQPppL4kX3r)?k;niP`Z#dbN^lNUGclC z@;T|$J(~l;&)(=3RC}yQtgvLBMxRC}t$qN_84A`2KfI`X{kHyirc&Berpf)EX3cD7 zXEO`-3x=LG8l2VtlC>?WEZm?>nR@@xEi)aae3}Eu8>tOQRQbp9nDV@?^wecrs1Sfz z2B9$;`?{`8dbD>ixK;DDJ>>CpifQtOu&lz4P9`Q(675(s`cuE_;?IDMCi@WUw|4zD z**32#9dXa*KJ1(K6+SESwOlHduvTttM|X$334eoh4-%=65Ci$wNVwP;-nZy~{IqN< zaLFc?HRfuYEVSC=`IqR=A|rCu$d&v;eO_H}A$Hwj-OJa%p=VKzyAQi9A36klPO3n> z`k3RRk5#hU+Y?P+K$>G zjNZIi48ULC(uud!_bYZ;&i_1I=TleuV||2RQDAOqy@M)sTdE9!2Pa zs#G3|D8VS6peMV_TPEVFTa>5eNmGj;eRUOX? zrv18BcX$cP7FgRE?@^j}cb~Fk8O&y-UwMdMTv+%{fH&y+uBP8r#ukI>(Q6)kqZ@Pn zy%`HTKU93iw+_qB_OK_|JKO!J{qFSw+Z>oZefoe`f%*cqVib2&ElAOBg)>vue=6qS zA;GetG_#J)Yk8pa@c!hI@i2N^r<$+fecj%?#eVTz6&BSyb_2^EQ1v}?pdseq@eWs@ z^ii4JB2f9tqO!u8~Fdo9_0$d;5|KHcpMOfc15EQ?!;=a zUn^rtltLPA#!wE+JC D$gig2 literal 0 HcmV?d00001 diff --git a/simulations/figures_sim/figure_block_corr0.5_Stab.pdf b/simulations/figures_sim/figure_block_corr0.5_Stab.pdf new file mode 100644 index 0000000000000000000000000000000000000000..3ac190a1d2920b025b8e2aa3c6d55116a21bdd6a GIT binary patch literal 6076 zcmZ{oc|6qX+s8?iDf`xl3}wqQ3kF59ui5u4(-_P#X2vWTyX@Ht*|H@fNfNRv*<)-Y z(k3cIp%7W0na=6_&htCZGq2b8HLv?~U)OzI_x0EN{zzKt87M#%l>w4hX0Cj=GIWLJ zN&rAX5D@Ot9{>#v09coRLXglntR8}d0?Fu|fk9vph%yWcRe`F&;IaVl1)S&qyJw3g zVdz=bAVUHI?}J7XK^9~Zo=l>rSrTxbWF(5f*i}-5D?;houUa^UBnvoq4uHaXGP;2M z-3d5*TreXaWjL`YRl)i^G!WOCm_^ zS31}lMZ}Q_Ncwro|8*WC;P*JpP*`u04+sWTQU!qx&=?Z^24DjWeK>k3B+e7X=$lBQ z&&&@%$?LjlN)%Dyj#%E7o6Q#C{-ZSxY0YjYYs7q6;7~%8@t0@qgOL;bT~Eqfu37oQ zD!!$N5_&sdVUx$+j!KuSKw5wvn~rc*|Fl>38Xl5f`yANnGky3NE|B|J) zkJG2d0saGf=U_3m4*<`NrbFy{QPw_hbH|c-tR24EdQy#z$0ug3b7UQ*k1pd+*X%{` z!XNIHz-;i^lpcQT9RB-)gn^L;s-(beE#suY;|Sg|UcPHGmg#C4*~jjl3`(1muz6}F zE}FuDkFf9srEo9C)J1)|4{ zXbpgU5x*hMvaXk#fcw1K>qmjD5ySSt7_z46sHM-nTdKB0H@Kq-(m9c9haZtwdJUeZ z$ueQFdxzHodNMUIfug4(0h-A3Y~sfYr%PgnYuHMRt9z zH>t~tJ9f7|Uwb|!U&xdva4aIxKpa1E_u!x~Ut~?U)j{vwXYcR316`fvxfK=c4+|yh zOy9PWb=|Us&_AfFG9WI|;1dK?9?I&kNXR_HZEhc9`w_q#|219bG>ld9%BBrJ!9Szh zBhONLS}ma91^zJnZ9Z7|+wcI?uWP<(m6d~?Bb5a>oWIMds=|SUa7vN{~Iwh^a) zlEe`idP2s4i7Cwgnb&E;17~CRoBY*!I>ZY1($;|1TjFht_e7$*RhYVrn z*r{AFK;RB3$e%IM+=%-7KGDd^=L_gP0d}loL43r%zUSde3OxfM#q$xX6N*M zN7dt0`J`k-tEG~siYq2>t2EpMhC5^M&~$}Nv`>mcX5AY3GWIE-DQ zNxsU_9B{N>ANhc$wgvK}e02Glm(H0=V zA7=hHQ@&8KPBOGQNsjp9FBg^BCaU3|YZ9P-FWFTlEk>3Vv(5}Cxl?bq_#_vWwL}<* zk}AKgmP|CMVDnI6^Y?wdgFoeEnkmU@3ve86gZvaflk~cLdEJRN(Ep<9GI$WV&%U+} zq|H@X;nbc8cgqT#5UY;&9KW$&OWIR^B3iJ!LiPBxI=$1e^x|ha5N^7@cJcAO+L==9 zZe`ekJazj)kr=sy8)Gy_)w3b%Q;e+&`c_*)?$yRB%wk1ZHTLnzg(rS?=q`u1TP~q@ z{JUUBKHT#kr)Af#AHcohl6Z!kT3n?q*8dEHT zj+9hlZXz%(YYFM<=s`YuA@l)TZ!{(RAipHQBIaakg99Iz68~hmRB@NHod`$6>c`}B z4X0C@C?~seKSh0BjcNKAY*Of^z%KWbEUt{UkN(o8gx>5GcBXsE;U?xQbb zv*n8CpJQzXGHjmtB{hDZ2dqn8a!)B&m!g(u6j~?di8=oiuj~DplTm0zUpN&)W=U_N z{h$*RuZPEx4-`5@H!`z*h33zZT?WJwyRu6mX>4azE~Fh=l^quq&7ZS&Ls?WDX&^FX z$rUnvbj*1Gucc<}URAI$=bfO<`+X~~7gJ5wq3XYZ7mjxZa*r}=df&Ne;hWv^vE(M$ z_g=_zBNef6NMN6#%G8UMz#k8pC2N+S*8nY07& z_~8wo_AE-!)jJ|;=c4+Dy2*vKqleK7K@Fmb8`TY_Ma8{B%6cP)DSQ07f;i0;g>xZR zy2_o23w%eN%oJx@vKDzJA#z!QDgOM-GkI(581P1Y_!8H|#>DnDA=Qomp}3B=xLiZH zg^&k)<;TUht|CiSQye((vX*zVw*LH!%Ubn!oL!otDirpoP!y6I0Bk_#Cy<5)*Z>BCG7kAg zU|@X;$L7?HPY|3D z<@TEb8LQuS)Mj88mQe((hq{bLq8NvQ&FN$Z{>^79^eg>ee8%YMZ$8V<46wDC6pR~c zRc*CQ<4(9S?CWEFz=)&OC{^(^l%3n;>2)RvxSlOu&nmU_FihrsM6qsawM0S;vsLxt zL7?84Kc4@1rm<%waH=J6nVLH#wh`uA*gEvqdpUHxiRt=I6zelHNA`%LMUMQ_b6xSt ziQXQEn2)Y7v0#|q<7;Yk1UC&1LnywT_+0cEnx zPMZ6^Iq3=%>QmEn$djzM=*xbrd|?n`GAQ8`3A0ZpewTL%`H_R-QeTBdYXJL+gEOd= zk8h+uB&+kbC8c@*h2{=#Hp1GZkWnP#*z?`EkJZ2sb2yVs+8f1LqKzj;0huNPi&Xd! z$n@T*@8ZfR*l}Qpub-=HaKKrS_f%OtP|DRNHaVRyae8Rz!dzn40EAOD`Q!}rWe(6u zWSYR_HMHZzALs{sByskonz|aqPrr-tB^BX z_hQJ9b=%wJPYB9tx>_0us_U+b^$IH0>+Btz!T&ruTNt+~c4&`$LXc}g)HhG3K9S__Q7d{_$f=T8y4~RY3Q*L-U z^hmcM%TH?JNKSVC_E6+rs6&I9;|`aYVga=9p?keASV6uEDPt4&$IA7 zJ^1)3PXiOzdzJ&*GVurfJ)rL+`L8qUfrR)Y>TVso5n1UWeV2`Vi$^&Mjz31af_$&6 zc1ZC`zsJEh%+?Ujf(Y3az`%L#=$Kw^0qZytNViwyQH)iF9C zaDMTY^<9yBu?t0B^Dgr;B;h6|4&C}&RzAF20zrpPLfA{&ogeaGSZh2i)DEXa3$^#H zz|_PPBkP}L;8{Yrm!d5?vflGJ0<^A_@kDU*oVlF{;Sqdhpp!~D#m*yMahnBRY8WW6C%X(e-+4S|HmS#7OJQov)nYo==WM2d?zGrpFGXL(mF}pFDKLG1I7YuxF zQ%45pnMm?yfcc4v1`fA!hehXW=6TlCwglLsijYarlw;v$B2of12Wo&d$7w0*F~II5 zL}|6-{WIetiwPWEgol?f(8qva?qJ?v*0U+0Q730e_{VA&T{X<( zU<>a%?&Tz|uGN+PZ>UX!5U#MpS}BF%GJHww52B59P9qeG(uNJxOdCuo+NXHe4P#W{PuEVGNjY4R+Q3s2W8teTi5&9RgOgzJ%6Kb<-G2FMpr94t(@=J7L#m0 z$Bx#*>?RG=ZPj%HYY2(oSw9)_%Xh`k=uTTD$ZX4a%OGu|?^&R18pp_E1`AFLY8<*s zrL4o&=sUGIpQu_{frNy7lUkDkljP_A0}HjfIZU#_G!h%BN`O(b?!|-;aNM8BweFM&k5K=@(hb zOH+@Vdov!bLRCJg?BKIR6B*7MA07Wrdp>$^^i1)(ZSI4wMfvwyb+@B`lyKVhTrj*< zqdQkJh>Qhvq^Azv^<0CNl2pjMWXY!Wrl=;Rpza{6pqQYqK^trATk^Z7c15>Zw`|zX zu!*y=vQ@Ixb9{@H@8Iuni`|W_N={0?lmtIU25Q3Wl{g`Ts#ujaUmdu=s*~5K2Z73u zd=9&y^wuwE@+iDU)f8F*Jr0YbiVm>OHdEsih6T+9brRVUkDKw*(sMd6s1)Z>g(!t1 z3eEC`PC&;l7r&Z?`Yj(nTt4=#PiRl?Yg6pE&9qiG1z4}(Hb%0wyN^sOR3s)#t zfnj=2bXmFgy*ce6Z})L`i7L*j35@p-lOM9U&eucDox#I#Gkl+Hz7nS#hEyl(Uj#fK zdWVadk`1p7zrGLOKhEsT{3c>HqWpZ%(~K*j+9kJGwO?p+MN%X6+cm}UMjpLCt~al8 z%pI8vh>0AI82(zc@hqt$GbU6lg`Mk26?^zG1fLc6$diaBkG{xE)+&isiGGP?y&OH` z+d;(w#eBDOi!b(2dT#U>AuBIAbh{_e;`utsJ;)EmA982Pgtp}0G~zYd&lRanZ%KU6 z4@^{)A9u`a+uY>slFXAdj_03N&(N3anGV+ddVvJyKA%RW^R7&HTuP*M&c1HKkfLS+Y{I{cVkS zO4+wzbxNzSxSD~Qgqo86ysWRTa7h5K3QBh}@lkV^^5oE1M5o>(ci7DjnKtRGQmSV* zj0y+^5S&Nj;byUIn;BGxjEkYK(rQr;2Z}I5_5=3QN<4%# z>`TcyoAsr|65(J~pZL)9k*PD#bl#IuA_Q>avh zn+m8(d_@WQyT`Nk{wYd0?QJ)v0#{a_b>cwWskjs2xtm|tJGA41uRTnu4fWo1^E*^m zT*9~D`cC~t#;D}il*JS0gekT4J$K4J1otm*h|x6diLRe0lkCr~-sUSbpDoNgmqA|m z{P`md*=icJoOe}|SP5>ytzd>HSLZ^8@;`5U(F%OGzEgcUK;3YrD+Uq^d)Ql}TKCUEbJ8pK=snt#sQ zZ&l9K6R|^YoQOi9^&bmHTNAc#ZX6F&-mP|90BN3E&^)u^(H?ac`KDT03$?!%)-o^t z6VVktsJD9ZwPBA`s5Ds1eUq|dJf5CY)}wi`bXskAti2f}Az z9~w(0g4E$)e=?4Q!l1lJ0I0Gu*b_%LO^HM_2<%NjT&6QF0!e0|E)q>ZlKs3eC<+Kn zLSsDXk{<#|z+pk)O9T`nke-P^BI%|k0PKmTmm;ExAh049NAg5@fxv`cO(N;!kHH}R zq5F`r-UtHO4}&0+Kwz9V4vX@oS3~?dnaCh_w|}^?zgYh_i2rHF{(1?3ZOE5MzuZ}d zNPl9OBmC$s(O(C@=JIEZ5ejn|MM5JH0Pyd*fEW|~r+Z5wpu7MO5EKf4{QU#LRaBHz zKwhA~H5lEaX8b_dzcnbF{to)z8cYT9uQ-^B8vSweUvY5ybK$==RT#as{~ZT`LFsPv ze{1Uh(o~dT|Ei$^SNlgVBmx4BK@sQ{I|yup4nooI3j!Nsy>Rr`8Dkz`YaEUQVp!k5 YWnI42Skg+Kl(D+7~(P_$pQaL3XGfVw&Wg>^bU1@!OJ z06}nH4-^ojjUXa0I2R!3D#8Ut0LoGV%z*z%Q21BEaolk<9)%_T6%NwIVTqI_0jT&Z z9b|?g;7E8RWk0$9+V42vcRQ}2ur5SbAQY^i2n6Y&F+|D@KzbNTb97KhoD=H!+yo+} zXYK%>%yt_if`B|n(`H#3QV}?Ez}=Z2{CLC=5M82}ugL3SFFIlU%&0La8%vJ2nXBqh z@#<>5T=`DASYyZF-RU$36EHdR=>3oHAC8R74AS`p?GHK&-uDI`kPa#jKkcRpIT-WQ zsI&+zv`tOLT@L)Zd+OVIiNa1v_EEF{-jrz3o=Td-+=ouVe1^bjroup_G84C%q=(_R z%%9QB=g0E^Hl(k{J{oDWwfSi99q<0l%6DJ#JYaoQ1%R_s|Of0?r?<2U3CbrWT&Ck?c$8eH) zLXIIP7>&?bD)Jdtmv{yJUTgEt|J=RI5&pR=&O5hnl%TZ^k(Wb_xqWp`50i_wH z)Pak%mSTy;A=(e6l3Rd`p85LKpmFUOM?F791B}s2I<{T|meuaGD_Xf{@cH^}*`%VA zSeVL?$Vn}YD1e9>O>~ZOQ1E9&epII}F+);pzv#F%$k=M!=1>dz}Oj9 zYrQY&!M#hLN$QBD{30_`^0ZtQTnDVj;pG)iixKC6=Xl?Jl=fCSvi>7`f)}4E>jQt* zid)7m%6do}L0vP!!zV$b?XO3KSGEIF@!{`SX;oURGb z8Dy=wM!0;lA}G`$r5e0S7;?v04l>xUms;o zSNP5!*0Ox{D8|F4BWp%ZPkD$xliM$B_)W{lN)I{3UICVu=$Y&pxe5ivQrSKa8)uA% zjgqsXv;dRwY6j)s?WV_Lczp)^iKKlbsrzLUWM0Ol1zgQ^+b~s@)+9e&*xPajzPups z#$?pQKitVW;v6s{$}Onl36j^&2^jD^%r`37CuOjA`)3HRyNv|Q-qfE_K*Y~<^Y zy`!(p(jQS?tf_v;t4Ayw@P*e0mgPZjuB8ib25^g1o|c%q8~wxROs)e{+2rd;UG}`- z#Q7v>G^xH*SqIK5k$fU8o4KVgC+{__QJrZ~yt8$ODe6?fcP%~Kwj4E(OdJ` z8Dop(lKD5Upr6e8k_-E9+wl6_$X0STkQQKZ*-dZOx`}WpCa0Hc-F%R=up5!5b#uY7 zn`~_!F;ZVhUwryYYc*{nk?%cvIwcpiRM5i*PRtF#FXQPeA9^KFt}kpcoQp9I8F}s# zs5|_Ur6M37zS(%B#>sO3kl>rKF(becgWlB=M$3j>$*+bI}&{s1a5l)fqXNIf!& z8t35eW~=nIc7I`G!P-V$nB-=jzVA<)x4edrC3Gvu7q3cL^l&CdYG>P2k=CmZtm9kKaQMDyWVlo53X(vg5H!X*A-TkFhij(OGHoLo}5R1 zi2fa)ky(auQ9hd|F|&2t0Se1`x*{1D_bRrm4g#{C>W;0jI1m=($1X35SvuS(B|3O6 za8VX?<1RZ2T!snn=RH~^`9IO#S7r9;1bf}@5ndd+-m+N54i6aOiu4hFG~{a^Jsu+Q zAT`2=kFu~>;v*Y#30_e6W;eJ#=)PU|kjJ~Kck#7ff0C-2 z?N4uq^G(WKub3QE_Gx5{d<;}vP*Gnzx*6nI6Qn`@$@TK(&W)hJy?&;rGd0U=U*~2v zTKgZ}Er0@2l4-Kk98B3RMbu%wuXVID(gT570QmEbTZauA%$v8|og8B1;on@>lQpQe zGn%{x(r%y)uE&NCZGl?$0f~XrA&^_C;Ah0!2!1=X$}rhjo=R3QKRc&$aMAE}^GhBJ zotX%$5_3+ag8|KKre)CMQ|qGsck~m-PM{G4`up=fs5HrR=-zqK|LNz(%JJz?G+aE>YIyWaFGM_)8z)9 z=FA|!pxUP&12vtR{W&YMY1;g#+lpCWDV|m3@cZZ1uR93J9A!EPVzIlHi}U_~u2KH6 zjq7PsBGweR`HK_&!klA@`I9n!W6qy+12RNA5rDS9W2!L&+EeHUN1{*+1PC%hIiV3+ zI3J)bnDR|l2?msff$jeRLdPKU8(b*7g)~PIfwmwD@lh(Ee2De{kRAnsfU2q>Jtz=z zyvZ+&0_pk?_05ULz^AHuyd9+^28TEIKp=l9AcC2`7Eu0o_K)eDy8~{nW;6y&jRr|F5)cN~%PqI5&cbxy9y+E;g{Pq6AA|F>lgiJ= zMo^oUuhR1AjCgu*^547URLb|^h3{tX{SQKWfo|E2{qI~h$z%0Yx4(zcy}V+@5d253 z73a)idvrpai{nY^KR#2Pz)*eksHo85-q)i^rwN#d$E0)Y^EB2o1HT@0MJFQyIs1JO(@2qtw^jb1uOUgE2Hyy>Iv<(ec zis3?p8O)a<~`m-7V}!>GjXOv`*Cm^)#l zk$1$Qq0)1{R38nxuYVo_S-t7!=wWH^dt)QRE?N}Lch1f{G9j5GZl=HAXfdw+4VYOW zL1Y#(kFdt-{H)4^qLL!mUD~}#d?d*J`~5q6UiTcrgEshdg!W(U zS_Y;wQ9Ua}RZSj5xudzL>{qF;HvEX{bp%nxK5rs1lReMW2RN9u%}TjQmP}9E8B%Av zT>vd@9%M5IXwhSzaCGPuAUwdArXxaL<48MAZ3bq}3cm0e@J5q0Jfe%0%Pfir)b0{^9$|HxfBpoWHrrK! zyQjpowG3#uG*@%X9tk{-T*-A_vRx7PI#!fJR6WTQDn|^20bV8}~~+tt1~&1~%c6 z+wA!?XwA2`&*Tf$#Tq0Pb=h*#>*_+TUb)NoT8JxR_TjzUYq_wz$EGK*K6s=)Vlg6q z6Y!PINYCwI?_l2&6;Vo=??If5o@LJc0l}q;CAJ;K11|coTx2{XkvHgyz&Wl8nhL%O z{^3NW2)>SZL}9tr6Xh|1)mWx>{IeSvNHxHp)t}v;P9>2XCNfL(s8+mgr)nH6*=F(4 z#^bz)r3XhX-wXEltef#H?c1MwzM%H?0$2i1X(VO~i*v*?JPkL{l0Zo3-WkwSG^{oB zxhTs1HQKn%<6&@Zq}3%=9aR$nu_iH717}g#g%D9;cj5K(56-?j+XzhV)^lRPt6E=q zuZ2CAE&SnpvuTcml?1K$XU=PqBjQ8}J5!&+XiGWx4&3fZTA5X@kB+ComtuB@ZiAT8 zHdC7dcpeeH963}8wV2dXf-7nJR^a2d=oa)jrP`xswP#FY#Sg_@#F6mu$0jKAx)IWd z-iq~#B9pdkA>Du(x}Xy08diCMD>nAQ<;u%hmlIxla$OM2`Z9WX9KJ6UO5ptOV^EIfq~4ip|P#u*F%qol=HsA?>}A7eek$Z`!IYr zpV^|*NI$1SdojNc83}lmoYeQoX$MkBlqdZliPe9t5385;>+m!6i|||b+uLC{koqC| zL-3&Sz?@#0UYMSazLdU(=}V;4E6!K;kv}5K65>G`dDlCAI`4KGAWLspb~wZiM{~51I+1gEbN6S9cn+kd>pWCj z)pHeR4$jW$`o_sfjag+j?eDXm2xxb`*wzc3#tr@YB3u!8ys0D zaVK$iHeZ7lO+@R?rJPs0>}B*mOErBq%PeUN-og!M%qlu48Y^frW;B}0-o2o9u2Jno zYEqgf+<>i+;SgFSyA6%1cvBHuk>8VI>e-uIO#ihv*Jj36r>1KJ#Vuv}K|)h! zo;MOsBK5lyQ&m#eUR*_3n%2ZUGkk7n!)G^XkGfh_wL&Ic{%Vk5Y2;t(yk7Wryur7j zZ0*a$@UtA18jPk$rEU}X8 zvTyHxvMMj1W5w>h(rC(%*m~mX8THdXl{K9OMRWc=n|ngTYS##M3qF$!FJm5ZWE+3V z&Qwn!tt>Ck4eeE z>~8qBbnT#Yv4(){pSC9OkZb0%h8klJGxqoc<$jdguK?B5SJae0JGO?YAg9aEYoLDa z1in}j{)T7|@6*{9nbPk(M?MeIaM<_xerYT@y{KJ7@~7S5oB2uaW}oj+Fqew_k=@Ss z;j;VJA2m<>9NIu_5+` zyh(Q8iM{ac!+)W+(%%>g_{&k$#Zt^WG?rp19%Ji&R+eb&MJxgRTL6G`(9X^%ij8>e z6WRjh$zX9rCzLY~g#UF& zB!&Dj7{otxR}$6*fhW0R5F{cHgmb}RQErrKh+jJsj>+BrAC~Gb*8dISe|oCFCIOH+ z=?3wa#d<7KMhs(wJLO1}>EKsi{){m|VZ2a8G!g*-{q76!xTF8HV14i?X8;%ofdIgN zKR}qgysSLX8Thvbr5Me}4-ose27yuLp#QBw<>V+9@PBC(@A+REOqMbu{Z|}Jfil+o zZw(BE{A)ijROw%uye#ZrHRNH?f5Z{-2s8$Tr}*SRkU829MY%5!bP4N>qfBSV{Q#Na ea6}*_;m_U>hzLCKS7+oEAW8r+F`^W7v$-X4Ymnafr#vZaS+4r$$8iOfjG)u<5?@J*f*|#J~b|Mmz>=Kd+ zWhc9AJu{utdCqgr@Av&@Uias|?)$p#>z{dFA7K+sZE=W%G)OpjDtJ1$FL=lv3xWWW z0Os0tkdhJztbs+s@hA*h6OKm$BAS<=l2A!WX($9D1CfEsi-N$080Y_Y&jN*aC!I0_ zbg*zwHxvQ~7!&ZG1U%`O2^Ql_Kp?T?T`37!2?$C1l?y|bL_wD?gOF%vauv|OssX?j z-kwMRtO3Wv-7&5J*aYs1!~s&I05jmf2ju>BfE-7T#v;-9Kf}Qq7&M-=!~ycZj)TpR zI1B-cAl)bZkNe00zuRGeM7!eM0EmKu6adynx#LMM0BgIGnxlzCV4RWUx^Z|?&pbfH z2ko}{I1V|M=GAf&ONnnRT4l9ZY1)!JsuU;KSJj)NCzDm(Q;C@~tHoQVwjR4yWmN=+ z(vGj3DY=?$t4zH_OTC?V*z{v-@d(ly{yG#Sdx#iX`j&LqaoHna^u^KqU56#PAQg~y z=b@IcigE^!t?bVkNLYH&lTmB%)Qi^%{C#zrZjcHrmsw~Wd3dGI!$}XzomOklbFO-t zZN=T>J0P5om~b*aIILJcj<)#FEI%3$P(}Ylxp9)>qy#?Q(W4i{6Zh3t+9zF(t|Umz zjS+cjh$rhJ;$}21BYs*GX7uMV8WXRMcON7$-{faC_{q5x0L^Tcjiyzh--WC{- zL^&Uy2n&AT8nz@%FLh@l?v5Iu#kdI-W}GvJ4^%o)>f{UjfbpUYA)(*6-Pm zHu!S8!QQ9JMtU9aU;LLbdxPBsMkt#Y-d{<7oqXOtgWy6KxbOI9Vmor4fudA&Xh3 zu2IT2>5$2PyBARKT)L=6?@}ovPKRxP(7BUW4)<9VQ6;56Cxoe!3Jh=VLYN4O0i>hEWf0})n;xjJNU`K|O)&O z@}5FxM3F70=xlj&3~p1EB&8W#=ed)*%+A9-73d4|rdZMWF=LiE()e~d+$3S0VJg0V zXV41eHtU?a7V}uD#IR;dqLo%^X)JziG-m<#aoIp5qv34TJ<5vdL35$b zS5y>c*7316OPLllr8i|_NzWxde;yY?>o3&kY8U-cIL1i^%_U>Qan3ajGEzrtYbJ75 zppIz94Ky(`Q+{~9CR-yrU$wj6Gw(g_uQ@AQw7rU>0d5^-h3BSZL`b(!LsCr6$?Ei$ zk9C1npl7q5ZrsjroxNQ&sfqOUa}w%i7MV%gDB&aZ42i2dva@dV|I z!CB_;_Tj94!EdhiK9urWt-F~ap+chEdJ#lk{Uo1sXH9k`fxH6cs=+oBW_VWB2j<4* z=<)l@UOvm|m#fBC@#E}GGULqqOWl0pG4KU>taQsL(K`W#l?eKAvUq@4epG*SxE`@Q zSy{QfHCx(!m4teg5H>oHS|*zFfLo($f{7&ZGI(UdbTIr~<>a4whlIXW4zyTc%O zPO)|C)3XikozD8P)ja2gZILgCN-Kpf4Zja8#v(qIfl6)Ku&H@^QSE%>RmaJrdSAJe z)~e-4h{pVQ=A*psLLsYxQ5MXx!F!1TgIZpaKf36IhHq!{x2KBj)Wn?~^1mWO0jB8? zA3*FK7Q_gCGGmQSd3sNuBi%3G39Ec?g46V6QU1|UjKMa=n&?WMj+OJ*8G`5*6~d?? z?v}CF`)sd$=34$+*)_1G+2w#2i>E7??HxhvD$at7DvjeS7!`Zq+sA+|LWQ4n)|350 z8B1u}($lGohN$bMG}Yn`Ir7Dk&uDo4y1b0i+H1C!v4lmSV^ zJAlC2BwhiOl)&0h07Aax7x93#hGd-cMAD^X5##GyaHQuT%r>X_w2FVdT8@GL@54BglY$7rh>=M zNR~n*X+q)~&fM8u9FZgf4H2LArueMeb@lro*!pcBdpC1??^|05HlgAuo^$r*5%J0F zv0wW73}<88-%2vc#h;ymjHdJ0@O{Bjxbz*^aCm$0JQGwLl~<6L^bq%G78wq7ILJua zxs~b|7P!Kr$-mpS4GTy=LGiQ*Sv|HF>4D;;a9E@?X*`VVaRO7sJZmN}`QJR#;OA)e zYU-k^Sn0%sy*_334N>si>RvWepvG0dKC|YJt6$;7jb!;GJVe7$4(;Mor1|P~@08~c z#&6k?yZrP=gfm>M2SUwJ;JaFy-9-j~L29+#YxXGGboB_;-R%3j%xy;nWA&-gsj1XNqG)b9K|Y6Y+@aJ2xH*EVb57n3 zDRVmikdBbUDjh28c@iIt_$)0?FA?1BL^DBYCdrf)B>ElnR+S|z{51=wStK6Nc+K}L z-1-jh3^lC=s|nxTW5OEhx>TI1i#cWw`5r|q^&#cxUmEdC5AQsk3d9jkL zTraiN6Ny3$tOBKX*b1mns^fRg6!6!_=q47ww&S4F(t?;6+&%t=pEGKE;B`AdRbi~1nDy$!08sS@vInj=Ndd(eD1M+3@W%H#~Oz;mqJB9bG zk-uuMWE3U#%JQ?V=Xp<wbGAvA)i~z%jqlxS$X#te=73`=3E2W7>~RcF!gSRy zz{PWu`nBct>-33gLTp=6Mz1{cg6blyuPA9M8S@D@3!Cb?2+4{D3ki4#ET7L5{3zH2 zBzI{$Gh>x(3?|jl=duMpoqu7PbHVxojmUQnE3sh_`~`bcVo?-K+G5kf{&8BlbuLl! zrtVq^n`4)5blEFY+d_+cyv2OPU=`GIOk2T1LBqQe8@o>XRfpqZd(@Q17tVE0qVK= zP3RtckFcj`DQ;o$NcYN9FInJ@kIK_D*kj{GImjWQo+U|M1XoZHZUOry*5T z8Y=9@%=M)K`O-B!lSe`~-^zm|g~-{7kuaGa>9f)>x0NBj{s$w2BkMzN1|JPx%HOic zc(RC#O`4NTGSo_n zNwQZCEz^8MUG}D&jmw}Dwub}p25Knv(ZgqqQMOV}A5se8g+}(AeoOnUu_sczpUa3# zJ(ez(*MMy(IlavtnP5989x8rZyzyeT4UcuZok!(D?Vg(lCKLV9&A&6^8oQgh+Yn-- zv@BixeND&qxc$2Qr~1;_TYdg$S9E9X2ZYy9)^+}CFIt=5ABBeIhrZ73fe#L}Kn5yC z*63n8KnM?)OfPjsZ-ug3m%eR|jJ4V<`HlYI<}T8|uOHi;@7=MnyK!nZzJ8$|Yrp7F zh-R$StZhP@c{z9`_=fINGy5}V=_GfC6_>a^npNv_bsTXNEN3cz@9w&-w=If!^`Wov zm2ZFK6#G~6W!xuNpWImOJFho=lbG;NqJdR`cYezL!bAFl`j>NeUdFYhhWqm;Ffbo4X9zqAXE$XT zcoEd#)D@CSTQ1ln*e$rKnXY*y&nKTVpFJ-l|7s_(^KPduqU;*1!!c$kiv1O#6EU4X zoiSC+y?1e<-czada<2TBJ;7-$?^ub8Bi0X^cX!#^g&zp(unj~*qQ#?E6>=ZY^==LZ z6;|sP*SW7qtgvU%W9TtSt8c)w#zOVyQqC*u-7=iaQc9o7GD}>yXyLLro>jb8JW|+f zblmVm_O__c`Ep%Cn81|vnQXA07%D0sB!ZFyk)nULc$L?v36TWcv z&7Nidqry@j*kZYat#We*rYE>MtQvJAP^3!YBG|89!o|Tj(Q4p+Ud2|xqFpR!j8?mx zY@PeV4^iVHqw;mAm7+(6{Q5*;Zv8TSF}+WiZ|LUTlpa{hRsZp%D&*6*x$b>dZ>_$J zEPj}%JuL#0=mYbAIPR;Fb6GALf8XfcSiZD2I%HLB3A5cnmpiTY_`KNbrOS_q@lW$t*gqqyEw>%mv)536 zCBLL1Av8Ct~2x#}4;WOmXeKGgOg6k!J!k zc9*x>)FORvKTW9ecinaHps&s^U|+DGRCt#%D7>7oc;@mcVpVNtVezzY_v#M+kg^rd z{wr~e;bn9ld$!TH><5=q2n+M`Ged|beV^3_(aN|o@N>*}_x`bsS--x_`JE*d@5!x$ zisQZ9369PVOARxgCAgM=oN4-f{!4VH=@cXRA{)Sp4l6uaa(+`W`zb@Prt+*tF3;t` z*9VDT7ERw{CUxrsnz|Z)%vtS~&DP@3eG@h~ZvWbutih(3{rfw-0n&#R4hw+tM7g*iNsb@c(z64kWxyUNGyw-F$bxSYFnFXp(ghEKNK1pAF(i``heH8iS1kM% ziE-fw0vUA?C@g~D;o^=Y0$@DK-I*kLz!6vs8USCzBFTZIlW+urWFmsV&L~nU90~`3 zCD0hWGtvbBV}BKiAd$bjJN$3D8v*SK#}Yi;;RHMY#<*h8$Qz_=@LxCM$mH(uH}~@w z>;DGvKkUz6lK|M9a1H;<4JC`D5yJ@XK`Mzf9sKIcA2GT}_ghFj3IPX!fA<9-cl7UW zDG`fw0Z9T72uSj;50I6Sk&*#ifWI^-$rC1j0QxTtB1@Ws{#S!a$&hBBe`wOuq;cgR znv4v|)%~X?PZ~=8SCfQ7{uL()Rrr@ia-#p0gY<&G)q=;uQSL}A$Ae8> p3fcujn$F1m0GnYjcz|p*|LP46569wvbw);3ie!!pYZ+^U{sRH5QP=oVeb1U{%rF@cVM3N=%OwZHvf8PJ|zQ1#RXU_foUDthG_jS&k^SQsGmb&`VU>SLUXyiiVhsfbb zl8YYz43q_8uU-SFsR2Mbeh3&Ig~jN?@Ccx|t_nmJA}cEo0fQC53J@g;0LTpM@&A6a zMd8upENh^FAI#Sa1;+s`2zXxto}6ashxH)95q^}faxzdEFj@Om3rmqC0GBQS5Eu_i z7m&ZZ0fKA;eGx#A4h#=NV?BW&OPD7D2b3cRSOfo)p!lx@N*pEH4}rn|6%NwDV({c8 z4yg1i9b}EbVF`Y4@_zFFwI3zm_c%-u7*D(xkbHi5AV?pD#* zad`5~d;kIWd!0rH)_rl@+?`}Z5Z5wrqgI~lr%&NMDe?LrieAvJ$mDF9A>1h zKNj?OYp6O`hZAR%vNw7mP3~%ddcynd%{QxA$KT&|@GhY&JNu5&CF>L2*zT-xmYFNz zD(9*jFH&oKjZB@X?7E~{;9gMB)_Y}cb7S==K9WVy;cCFC<4ZNVF7w2Sx}BBs0_#C) z0|*a2HhVsLEY)aBQ)?*d4(&Os&bK>j%HNdbDk_F=j9J|Bk26xAt&Z7j))&UwFXc$z zflt_ll~zW4+-$a_gP5Io?4i#dsaveM_Ew}?;X{S-h4kfaX;R#BhL^Cr`gT5}$i3y_ z6E;!gHRniNU`AeOuEa`l>un!tj;kIQ5}&joUfuev%Lcu6?c0lC5w?gz9CHzmeTP?l z0+YK^^z(E+c{zV^3I9_Z^-P-HvBe)G;OWyIQT0;GkZ!(^Wdnx@E=4*K$w;;K9EujQo8nh+zMh)d;C zcHlFJt>%p~>Er9R>oCB7W;_imsx3ZI?EdKXJ)uAyTvKv*&sxXJ8Df9_Qe#$qaQAESWSt+C4+eC%;1!o6gN?q~_0mhtOt=WGjm%H+I< z9aRfyL1rdTm)%+}2{eZ;S;8+G|u+CdT z=T8Rv+5yvSsnTa{pA3m`ZJu^4))e+E;=W7%+v6;A@0K;MY#L8aF1ye23s%8xd(ha(%@#YkIc0v-gV-aN#{kPCrm=FcsW>%Ze&S`pjf= zT2Nm}NulNout9KNM>|u>k(Q9hcQiPx>?_;HGuiTVg_aGL%P$?}P{zjZb|>YJM79C9 zp5=)!yY}22+PI_9G1D?DiOJ4nzypG|S$w!kJb8NTEE#x>g6VE*2xGVliBTe8VN7P> zT$Gd*Ym=ecw2a|by6bgHD?A=~fCcV6!)~AnXOA>{3H&xeGQk;Nkx)r>$+T);&S>5; zk|jj?K+cE`Xr$Ns+0>faPykU$o&lQ!^%+1L%L4L~M77qmKUNR`2!CtuGYVHMdZRYK zWnM>XJ(pKS#Z16)GZr&FF>}gLYa9Mibf=5im-Hr~dAyGPGr^DHr1XXpt%Q#=Lx+CV zQHGJXwbKYfzL7g<;tZWh#Fyk9k5|IL2*gLm03Ina_F*+(eTN~Bgwf>x3l(* zva_L8#V4?81pYODK-o_cG8P#!p7(srf&Jj&do62)c9m3uszZK`NFK+%nXtAWCZP}K zT}F0cZVk?x;)~Lu%22nx!jXihZ?@i7R?RVA3FDx-!}~6#gqbmrExl!@fiaMU{8Pmk zdMbU2=*;$!=bMm>$P>x9($qTYQMJ;-4sY7HvZ(WyniV;`>9vsT_1U?A{_JzV`uXYeR|0$_m2nJCS2Kd z16O6Xq@TNR<5oJjemeI&aNMVK`p`&fzWO zv?1zrIhJU03yT{G#vZpHg@!7ktK+u^W@;4IzEsP7znmtut?qbE<8X5`I7EZVyIteQ z`Z#m>*|>~>+%G`^SwG*RHRi(imwKtj_n5r4V9fzX_>SP657MY7_xt_R<4OHShho&N z7C!KA0qe1bfCybS8?K`RWax4K;)gN&(l)1*s#_`ohf_JUS;dgE+W>x0sKCk%Puu91 zHTv>lX2mg`#V7T#+mp@f%0yPnHL7qHRk17KSLqg?KN4cE?lE46zxbHT$kB>?H_AF| zgse$0g`NoPkif-BP2RmVW>!eMZj>dvfyNyubP*Q^J`p#!Kl!(=o`@aw-Adwf%Vt!TnB03?8?jKgj^}7fbwwLKM>ZlSF=_ z(4PbZGC_IZfX+Y)`B(#8$%KR@kVyv&1eqZ`P%v$50MJ>M{7p_73Y3G&y8Z)}D6sPz zZpcgqw?W{6&LA=sk}Dtr@U8%mJ{gpNYHA>T2oOx!LJP<*V@^ojQKDkLni>8|Qt*g`K z-qWYap$VBxM(1$s@w7cX4g7H+NzzE}q&hCR)8Z%$rn1aVUi!K><-*JJQc2z6zG#!h z%j`yZvmsgIAz{ZThM>=I}c5zxSg;4j(#l2Kw;+A*?#7 zq^u!F_3^J%xx97#sg71%$iv{s}f($zwSogW;&3 zp$^TaKVNW*gr~v{bRo^`Rzsif9Xip-1F7^hX;(G*mT5UUPBeC~HB+(7)6!^(C!DzM z4xW$VyiKhO=OBIX$6}O+Fgxdj=l~pO;r+kck{{KQT*fEqgjYLShpz zsL2`=`+}9rIvx+ydBOij?B&~hA8F}y*ev<)FpBDE8`5xTt`%CB^H;>J79p3Nm&NgC zpHiLDX)3hxV&CTqVmL3$RNCqEgbhts=We0Im>R>=`EnDYBq$Tr)N$9BHiUIO#-clG zp6xO~BeIMwf|X6>L6R&RcbC3)T7U=>n^5I#_7WPD=JaiW62X>4!?dy&&YbjmdSFY_ zJIt>HxndU{WER;ML5nM_7%cP3FOAuaiC+VJV>8qDen5OZv`mGUQsK=@lF@f4%pEzm zT(``&qqNUOA6*1b2B)40H{}=Os-vmnt>Yu5D#!BnCBsTFp;_P4AX$t=Cwn*&>jJ^c`t zFh-5k0wHmZWTxsELv2ZzbW!?_(j`AtqhSO zP>DzpAs?YH7xIMXgxi1_FZDfG{L~yx-)dvT3WVNWcy3iFd0Fy=_$H_Q#W8Wbq>EKR zX@Y~i?T)R>YoA{$Rc_%=`=k!=uisBsj$fLch*2QQpO<&=S|{<3 z+@Bbo_)2;;S~03p{LMDE`b$w>MVrn+%x=kPyM8l+!aAL$k|B5;pgSXNsN7=*T#8p9 z91%pHetR1IR4%A5$SNo{=u6P|9j1M$Bax$X`)&I+^eXg1^mO!9^i8L>;-tDcyItds z;%ZWoQ?4dM&k%UkA@*{oWrq|o3hmz7(Cdnh$WeDcA}9P6#7u6^Cur&y49wAFCT0k zX3i_LKkh1rmyH(*zFk?BBmJhaZ+F_|tINBV$|e8dP>d(0zi9@3gOq6$la&t2nP32e{IaBENSNc;lFCz~(0cMijfQ%&PHUJbv+#=esXuMfX{3_a$fcA}n* zSd4h2+23(DGE}RikWOn{izSK}rPrx0_Vy_*kDrDj9!;n=g4QkGGNm;UV)Y@L|Vk|UQjpoH+!3}ma~v= zo%YqXgWHxlzihv3;$gcvv)N3+u7tW+n>uY)TK08YL$*?;14x71HYC1our9H#WZ-_* z7Z<1~fL#HhGnMp5Yp?v&@K{8T?jLTDdml1wGPcDORlXbM`{m1G-CL%8#K?x229$TWc)g4iD5OOO>1vT? z|N7p8+HYZN&PiN}dcBI!W_0;X!nF9LQZs73w8Bi#BtVqMq{`%?@jL7yrhV@&(c$iu z(CPGg#FN1y^sxP){ricvnc1du;tn#yAi)`dKiY5%aD$hrS*lr|pIO2jteTRZnEYYl z#OpHUim+^GSPdl@e=|&RFbl3iekq-P(;C=X^LcBMWM5|I;Pf3+4>2q(?; zp)0XvO<4jo@gng8;kkQXzIAKG2j6;X>he~3{O+jem((?ZOJ@V> zoBAJ?eFz@d_%29Nx5v4B3YcQ*y7_>kzZxBzT)i(8m3n>bNS+y=pvv{8Nys>pE|~ zV#q?`!CjI=TTOl|x9^wH7l&!@*R0-P-x@XxwY_Zpv24FzwbX>e49_~^ctV>#=8v`| z9^CuR7bbsH>$(b5zqG2ZvgzI#tqPy5y`X_O-U)lQEc64`8#AQ4eSXHEUo7+jNW*O} z;LvCyBd4ra@>M-IF-NVlwK zR^hmL={29@*6bS`axELR8y7XQ!XxKk=F9OCB=11^B!w7gF2H)`C^!rN`aKsQWupJIX#@NaNPsL53-D_FFYD^dLgW+x;^A}QAHpf& zLr!=A1PBIV-LC@F)d3(KJQ7YsVKKUJA`&R6s|p1}!C(a_1fmF0gepk^KxSBv|M#0U ziioCWSpp64aGW;^K>(VQh&U3FnsynF^&laTc-mKaIhY)Ts{N{krAbnN3l{)Lj0dd? z=-=G{LDoSyBoL$nC&JNKFCgeL+zUwn%2NX@f&WQR`d0!ijuwqaVu*i*gLJSMB6Uds zD*s9cSt1Eo5*|U_PvO7zqXqmPhba={Mf3(j!7v3NNFRkJQcnQVM^lHRi$q{OkhH!D zMC#0Z0fE`=4klP(CAQ}EiVOt)!NZ+G10kdEJeJ8xO%5&g$B06sHS`K;pvBelCYNH) zh)2gId>n(rd>n{e@PM!FkrtasY^Z+=`E4kpS9YlulhDt~l!nHWhbJzqg{U7KZgt^; z##wgHiYx`z$qbcx$q#vzVmB%H@ z8EJzTZ(ddOimlG5wwCUEzCMv6Y${gN`f7O`F2h=r!f6_nb4uSGX4S2+G*!t6%O~`n zyyZF-SY!(1Zhbm)&0o1Q5iKU;iRolF#82X~}SmS&LDVDez4pNPozpWtw^)lK> z+_yn?)tc=3{MPeas2(^O-;9|N=3QD8!82kWM6zX;nx9v{kqSS zlP;)c!q4s5{1n;ux`vWS#P>gBy9RiNWZZQq{4b2gA}TxNi@aFDtk;GSl{Ly2A+D;P zdSmIgd3^e9$HR`{Og%>V!|cwT3;eWS69tBZZqB@3Ze+$rbI8Qmgh{J=z|#)8M2^oH zpV`E|?H zbdpP{e!l3^pPlO9Z>-; zJLA_+CCuq-s#exw{?IVkvT-}G&dS_1g z5@nL%V-w0mN4aL-k45;Rv9E<`^kZ46$T4ByV4JUDIfFBcl=!QZ$fhvruf&B>Tk`)X z!qV{lEfdiOXamCRt6z-3cmngXRP_6Mg^v(f4d|y@{n&`|q4ZNdE?Tuq)|%8;s}{%G zFDuMPOt{2EeffxdN2Z6*!_tm$@mXg*w|$yf#MW`A_mm*Fkzk%2cQsE+mtMb3;3?Zj zno2&?MgH&VnlKTZft97uCxrTywWCb6789RU>yE{IK5mP$;21g5fCKtF0w%^f8#pUR z!|swC&868$loJmuo77hpuQ<-6OADc`PVcx<(r@!8b@#_=IOg>)cKQX6@=I>pe1P~o z{W?_H-ZoNUe-$#dYVKC4<@SlK>_{OH}L( z-m)pVx>OAm(xj$xbLH%)aNfifwaU_e=n|~M> zk+8|KF?XLTnp+O_rT%f)Ie#y2wgj+i`~X*+^wLNQa&+zP2)?OPe4}A(bJlUJ>V3EQ zS`IwUAZu$sr-MPrHOS5G& zaU!3MP9|xro;T`uHyVB^RhXsMVy{rNc&6ceZ*hgd@?eSVW}dU-WU=g470M*53Yqf_ zjk;OWGnBr@)8XjGicNODU`4j@=DiTq}E-6Tk;j7-P- z8w+(8{g(M=q9P)MI`k}qi;Iqr>*^WRU$Q(OUF&t*+6tt>{*`XQ=w`@d!OhBQou7GH zxeJ|#2a(^dXID&pM-f7t^Md?M1+z3+2UI}=<7MIYK|NN)_gSIXpU)eFzKyj_w685@ zJ!%`yl(rS?KG3uk00@D12TRFLTVE#w~#Huu`v1OVNzy-n$3;fY`QVJV3(Y1Dtuo5mf2^TgrZ0>^{f7xqwm|NFcVY`KZ!OCzsaQQeNku?Y-@@ zhixA>7FG^@9~UhBoXKcqB0(}0y2>33;^jTV zI&C{@Ni-I3g@Yr0DIkKSfi_U_cldu$izdsPe%lGhy8H8Lg_{x z<$}}CgVuYqrbTu_d~%y8Q(o)j(FVF(2a!yzruHmhZ29)Qvy1INNLPBQhK+ycSM11*b4m4rsfeh8wQG3;{P7zEk( zP$LXGwAgd?#VtrA3bk3jX zFE{>(?R5ju#XoB%v6KByH(YnId^IQICH?5#J0}zRTpuaW()wO5d#H}J!|=5Fr2U5>WHqKW$S8 zaeto@aY(kSGd+CGFBY1NFwlk8aa;7Q-aBw$Pyo{DX)>;83N116yf{+xf~$^>V}_AI zOET_=pBrQ*g7+4^E>M6stUB++?TB)>a}StFd0YySFx&}ZIATUY`KVlYx7(3-^p;@u zoG_^kK#wM8RP<|3KFe4lQ0KMqvuOKULi3DFI$W29Zyyua(Kck@)BKcY`9Sz#%u2rJ zlH-yj@ni$tah=*c3vcc{zTl&0!7L>&9iDKZnJV4Pm5(Jy3B2sufGUf~Mby5ygJZnT z`8mqG?d}YhJ>X(^DOVULmuf)*n2WzvUppmGjD_pWqg&iX3@FXXTc?Xe>f;SlN?$wj zGVAF^8E)FhHZu=uL8bund$o!^bYhb(Gg`-1@9-w z>D%RH^`Ba*T;keR-s5AA%ts_bl23%13QO=+GE@py3JoQzL<@E#!b_go|Dif6{3-r; zJN}6~8d3we#(9nV8k1TwIr8ir5m%$^>ZE=tPWqM2j05f*&JM>@C-|KEJ?DBNNBh=B z_a<^z|2jv=v5U#MXC!$NSsq6jYM+P8=BM`SE1T4r1Zs(Ke~r8J3Re(T7h`XvuB&b? zEZ!_`VdyCalL{9*<9lZ9+P+~Bp9 z9+o7Ycd`g9iL+C%-nMr7BcsATKTy}taI=itrOWU}`6~;DV(UVp^>WN$71U-zU&UHQ zC#Vvi@P+B40k2GZ+?>v=MZDy`q?aVZI_jZ0(yD%#G_1dJWkvb8j(iDIza^@;3hNzN zCB+vXf8V&uILA2YjUS)XseGXU#--(L=pKBJw5MhxYh!NHydp6I8i%`VcXIwzQPK z2Oisy5~3pM2T8o)YeQs%d~ipwMR0WRTJX*`%bv^+u^*@Qn)a-iRhiE)GclJl*B;-D zk!j;?bB_5DQ<0RI%|6;NKcy?4gKqdhVsWoQpARwYs%U7|Q_XfaGhD`-~i9jvRxu&ZyEduZN3T z6fc)i7tsp#iZQg;H{)+o*jH~Ujjyit$IkJ5v|1xf+fkGzYDWUzP~Kysr=>!xLT~+q z{S=~ipnn&(5LTwy`QlDES*s|INoz!lBceA#@1@2WoT1z6Z?_t^jxVw<21G~nhxM=J z@3bbirAL!Rl36%dD_BBLzIuRcVKV;373hc?etH-IoypXRvyC?cVFDOAyX4F2rd3Tq) zT|8UdfP3HuV=DzL0u;OZy(mM2Kxz9W~N3ln-sq1e*i{@hW5_isN82g*O z&r#2u%dt%PV*P^Onl-0%uXMDy`4X$y+uUzb8WK$!jCWHq{HzVRN?7)x)$&`=*vg*D z_{yU0?7M4DFmV94B2s4};aOw5!USbF?3L~_7wEkY=~ii55=yE&hB^2gFxIVp;)_}L zxi93c7ME~`m(Bx@d5%wN+=#`CZ}x2Z9~M6fw)<2e=b+Ktf$a^ij;coagi2P)$$+lc z%XvDRr`QhMD|q@fT}6MGZB+OaRHNZ6KUgV>;k5F z_fD_f9ar*XY8CQHPd=Jr+haRB`swYv+EbEtaukrr+tbgQ2uBeHUCDRV?yf$+47anW zO?YDR%)~*^X~G$Kxw?9VOfvpzm}F;mt=x01WOA%AsIg*ob9~6Q)W*(X2UFp;-W%Mq z*T-BK6Hm?{tL&eK=_`E;?cHmrH!3WvT5b!O4OtG4VEhn(9D5!j{(FJh7zDKJIi+EO?-m8q<85Cbj z{&f1n$-t`G&f?M!*SgntM20kM2~HmaCsM84B0hReJmi`_`aS zf_x5i(PcOAz-Tlrv$Xx9^iQY#p81J@mcRojm`_dd&}sW%s3ObtLCg5h!OzHb;`sIt zJHZN1m%Gm`LJ2dnpL~BdW(4ra*RMZam%f-0vh@AL_U7l(MDyGb#+|6G{ePjh%HJ3Y z_{&4o!%*!y6ozUd(y;YED?1cM3qwHt762e!l&2?>Y8=v>K}Vp1BFGnoArXKoFpwV! zOGKiPo_4}rFxwN0tyK7!o&Tkj0;DQXsC-o;SnTXPc$+R2qL1;9#qK}j=*Cv zK#)5gNeiTA!Vw6n7YP7)ps1w?C;|{9hrtp(ke)yg{#TO-D*2<)@PFvuB#ajvPx3{> zNkkwB>xIQ2eW=yozjh|j$lduLCh9NN{|(}Qx~RWy0w61rJMovPN)xG9j7xA|YD?7H z!LPae8Doe<`y+`c1RMbRJr^KtqW?5q1Mx^t02l~?0Kk7gK$xPUyduyO__qe7TFbNt zi1}NCz^M12|E)n4pj6NGzcfY2zjC24=)ZGeiqt#D|IP(NAygCjzcrPAY1C%_RYMU5 z{zorFJRF5a;;GI!5M+f4MpDlU1Q}sGvDDicZ5|*?ES3nQIo7{sLm)d|lU!UJs{ED`&EEKE&5D%FN`54j{GH62r zKtXaKqT_Xdswx12Bw^7M9Fd@nreHym+A1(Pn4Fvf3<_0*D#Dbd0FcW>r~mIaa~uUv z&oTw+k~GDfF}}B%%`)gC#M(%7c}_P`dWJ7m*=J0o2t2Sb`H{3fN!M zfFR~R9#{|riKd|OL>Ca`3fcur2FcR{OhNxkQ2ti}BaRVG!V)O|4Tm6!1Pc9?41)ho zhnQl?L@EhGucz>jdW?WS>$rp^xKLa{FsOn&2%?L_Q|Kpv=;GK2XkOXJ&+MYCgEP``V4q<>T=;EtO(7%eP_P>iQ6xG{MvC1?3zP&IDRmic_ zJ)f`~T4qrjLYQJnjbA>NxGcZtxB0&6NBcpbsJO4k`UN1l3b@Si4ZHbqbvyIUyYGZE z(|XOWwdWzN?Go~>676eWP<=lq>VGvI+^e7$*x##Z;P#}XdI#ki9^k74~Nrm7VVV1F_caFfaVBE!X z09fs%4f<@-bR8V7DyWPo(AtvV58Y%#@D~V431?}b3b zAlr-(x7?bWI&_b<R1q(u5 zOM(O;=gj(A9Mtq6STM8sIjh8t;&`nVND1ON@cNL{&i(66oeilkZGY%7!$)in73a2H zI2S_xetSwrgVRO~5E`wG^+-B#I!*kW7Q7n>a9KB)9&l{-z?C^x>+>E5Ms`gP6fn;W z6aZ#KP4sQV&P9qp8$bF#jz^xm``jF)pSve{_qn#lfy?HfJ!#+#3&Hlcni{lp z2|*gh-gildMV15k{2)@RzN<@H>8O2fLBcScHdE-Ei(jO{xQADBzxthVv2UXTGj-z~C83==S zeqf6+>;`YXirrL3zdU=~3w0sqeHde(>VD4KzI*$@+whHgke+f1E zyz~SE=RDR_xT8E)3RR*3iDi~DWc62-j$`~Y<2k~5r0VpY^Nxue7bUN%>LkwEeH)H8 z1p^X0ORLu#zCOD5>BZ^tTbQENr-5$$A1dy9hO9uvYf=a>K*O+nD--l&Q1gpo^AX;6 zT@*ucxMujOfSFHdd9)JC!LPQMfqSm0P;bFy%a2USvE3CqSGJ2iKNQK%!r&|JnPGU~Hf8L-b893ShIzDOg8OA|krq$qsjToO4+&a5Skhp!u9$Qo>r?TBzG48G%e(*%SCmKF2ad^-M$w7Rd} zMk@gx^Z$~l*mimQW+8g4&^a=tI*7vmQc0y-jkkNWckk(Xd47}9u&%$L9W9l4&*J1J z4k=##0&Y>CxViCa`hsy}zCbiN%jMXzQ(|@BBgOD>6M6asS$@M|xFJJd^{}Ukfr8&& zJxM=g>$b1(B~LtG&23yR@`vQ|Sid78;_RT6fdy;f)RFrlqR5W)UAsZS>lvt*<3j0e zKhG?>2_ol9HRIClo}-UOw2L{1^a^6K`0Klji0`89gB-8bI~8Oqml|dEJiGX;z<%^m z|ILTByKXfYcN$g%C&jkCLZVJzUv z==epxGvMjRVyNRaTPlsZPX#wm>omUnk^I2IRDeg&>QQ#CsnHojg#`01oI@mAf&n5{ zT5UR68jCrKZ%vlYk<+NV-gDnH!LWo7x!$9Tig`Lsb3nz_yntm?kHpm6IDm0oYTGZfhzSAk*q?cZlkt(ue6%|C zMg0NgzSz4m2-eq ztvxTb&rRPa(m>IEWM~6=_N~7Svdd7r==+QCr{xisCF2871I}6(M|YJ!=WXs#ks6q9=w%*(>x@zlT(S6-Pp*KNc&L^(NMp-$9L_yndYur!{v_c^E8JP2IbN`tt)$B2k4-Cc?SCI#ccChCwm91p9qM^6Rejg+{Mz~{ z!FT{Z)H(uy$jcmiBizGkmBoGMzD3MUq@az_$q}^z0a$Ls{Pc~U#*SA~tfitK-f-R$ zQQ1WvO$pczw({S38ty8PS;Qgdq*Q%q$xh}@N7PkBmFH0w4%pL+nN2t98@|_0*iP8G zzf7|&x2N5xbLUXLgBQ+h!e_0#tW|$MVVhp=1@!70C0yb1t(=&9VeS?^JvlbB2Yi_s z@V%k|U24x9IvTyQ(z?3(nf=DD^Wl|bb&#|&v{?JpTP5zlaqEf znbYq+c3F)(EB#_=Z+DEL)6suHnFkv4TY->G^|U~Wf5QJqZVZXh z&l++OiPS=qu}&Z*MwIOz7G%8rIin^6z6gva5N+%Y90toM3NfPd9pn$CDbkPh|DrU; zOn*^YdXks9*(iTRUxRYPl?2YHd;M;%rp)@s8ua7A=b(o<4VvyUi7IKEduW@)=O2Pe zP6g*6==Zdot;wQ;EQbdY`r4haW_?1Klzk`X*e~0)}gu?(T=O zzPe;_IQVF`1@H7+>+RTR7YFtON53$!;F+d8%FDI*cXXLknEl_y;8S>ZfDN_BLErbz z4PJ<8X8M(Ruf|do%5)_;W^Q9=)J6c<30FgXafy$y2=2z1cn1OC+@YNsSmRktDCJ_fMjP={nSj5M5|d=Y zICz$9=7g8UBuK(;%6{}=n$qvI|1tov=;`C>=4hq$Sb@343T_LWwJ{5iP2`E5?(4fe z7v0(;cU(F4%nbBhih!liG>OT%Z{L#F$6esL==pbW1YFKt*1b`3D9CpIVZ!!}B)hPn zRRL|0otAH?z?5T5&+@UAqq`CAI6fxZr2|*$enj*-K$xPQH&TxWcna70+nK(ek#UiJ zGCpo&cp%eF3NpX8n|VA4Y46`>+BmWH8STB92v49uk#@=iXWxA7*B!JOkMBokGb46H z*nd)m`MLJR8gE1H>1cQ7Ujki9sHf8VBW-#t-+QCqq$H>B_1*j#fU3Uqvx8qOC=R2i4Xfrhp)IHG zTQMtum~=E)7Bx=Jv+y(>e9^>J&BQUq!mKHI`=F--bm}JW-2>VnAa8JG)`@#JOB^H~ zvr)6S6hf6ePEbNHQwnf)a7eeq!SMs8a>p}*rM>`qG&sXV=4x#6_EbgBC z#KMZ?x*~M%kT_CHpP5f%Da-V+P*M0|w)4F8yd*`imgyL>D$B%`dza6b{fyk<{AR0X zTzJ-U2V?l5xG-RI=NA}U1bnlq>AnYxKj&(gam#}#E(^egkOHn?PA-*4(Q;h;uXMHI zy~Pf5oqlqcJC_-!F?LrtSEMFNKfa*DnwL#S2YThwy(3*Be79yEC1qdBR>~ zeC5pL0_7(M;}Ew5+G5c8WfsLM!$M0@$686x9P!W>06$JYZa>!ZaRH%cW+)yn;Py7E zMz^J3U!Ah@knlix@Kg)bb5C-v#c;H4e(7Gv?&$h+1RlB&mw8%}C+6_eFnz6aXxZ$9 zeqFd>wV}7B828uPMz1{{1y_e#TvXLoH5L+Y6gSa#7E_W65j*XEdPO2#bV9TNl-Q~3 z#6eQEyfmprIGcI;gTzadtaBFU4oZIEy(T>*NjYa@;+=mRrC`2gZd06GYLV@&?WwI;x8>M<9L5NzogupY?cUT5r!Fr%j?H_at2;G3H@K z##pnOA?lFsqU9p|7*al;wciw%S3z_Qt&rl2ib^-AFvu{7?egT4I+cC$4a@w(7Hk*2 zOWi$xRrad!)yBoMZh{1E$bYPVt6j7^2@G#e{h30u{%^>CRM-WJ>NAK|63F|m#@N++lSYOrha$K`0s z1jR--EhSH7OXmRxQZFy23wBw4!rgcDs8YGIA@m9KBrKx$R1fQHU2lYJKfe*bRy14m z$xGaWi7733Y@F4AY^dxJ**cj_O96{kYxnZSs$ExiVme{MHK0A*k;m1{br7@pq$EXl zeEbZuA8ZTnOz|?=fD38P`P|Up6<6{0t4v3GK-4MGw4bg1#vmUT2GL z17O^p)4jCL`yfhgsLXB+k2YH_`@j1R1m+v28b){L__S^AYzofB)-2YLY?f^E2uG{5 zs~QNVUbbFwexZ9T9042|dWr2}1%)m}bDDiFcEfg}rN>K0@GjpBzDW^ZzwfJi?bjbM z!}Hl}h5P~4r#xEq)~l;;l6dQbR8U3G-Cs(-P9Cs2FdjS`T&U6BbU!3OGdGJ>^Q|Vw z&EA_j&1$DT^c_0B-L2a^Hg{ys>(1^Nw)$-;tq2hDLou?0?lK>`Q~MC ztwZO{Bs$YHh<1yvX{TskeB_(Mm&5buVUB&fcl*6|eN2fXs?9EH@HWqDYCGm*&c}x{ z1;AaI@fr`+X7z0N^seYf9iM2h%&o*&ukvKD6WNIgYh92zW3igE_a)Q}Zd{(sP)(W1Fpb|ZZ{jyUl2Nc*Fr3$Dbma2; z%x_X^XB*U59>gbmn(K4rAKrsi%5TCV%6rPA%5%HZ9<10Xi37M5vB=Tr=XI?LqkTic zueG1s!BRganI&$XRaV*7&md*U5glqqH!gQeYy@n+v+Yxin@ zQQi|@)KV$fO0BVt*c(zAR*7>9lB@vBK>TaK&bG$!*WRQ)D*GC^WF5^HrPHdcRE>Z9 z{`Q#UJ9ss2HNWVxh@rPQ(6Gc%+Ta6mme9C!zZZ4iK42`N0{g5d8{c=W=i2n}();nM zQ<5lfA4KH6@bd;TJ4UZF?!oy7%k@{#D3hw_XNJ!WtpsdFZLwD>D;EQ(24D4KQJ4Kn zoLBP4M(TX(N|)E)4PGm_in7`!lsc^S`o7$yvE_tE1tbR`_JoymmA?h`?$*{^%qgr` zXbGGSTnM?%63`ph+bf$Yi!JeZl1tric-7qf!8>Shq7DCqSWxvqm^nf$LOAH*&dS#o z%?Q6c&*CZqTy|{T*(-B$c@}LZ5pVAgh_A#g39AcwS5&p<6@2vTUfUKKRJ%sD`RqM< z_*LX1o=l_J%ry1;)WwB`PlK2SL*KQuNHuZ^q@MT%-#@xJ=iisUu)Tc2XY%WQ*%2Br z&d$kpx%QJsA-O3q>m&P~hzi>&w(}7}5w(!>wyOde%KkG^d-n%X4W$`%{2nU<9sBXq zOC}@4N&V{64V`u0=dbOS%vF&IedCs7U_jNUjDd!zz0~cKfeJs$Y!^Xl>WgYBUmTi4 z&tt~RBrafoZ3WiPpZ<<+4Wnsqo_Vj=el|b?a=~uLd;j8aVoE{l1?gWldp(~_E+8-=^X#e=-yI%vV*fq+#tsf|XQfIpd^(H~&DcL3WUvDB3}o33+uZvXY9s!_P{4mJNgV>+{lgLHo+JZX|M!N%5i|*8+#dk| z(Z)GDW9dF5!)UYyDJVkRaRe$EgiwNbQi&8S9_vg2Kot}qPDHwON+#n#5El~q2Ay%y z7%BsGF*p*2>h6rkdV?So9Nvj8xuY>8A^`+(Bw-nW^h`7cL$@{o5GNeH6&XhcLBIqe z#R=;Sf{=a>iJ_A}9*_Q;?n))Nph;ABJeo=YL5MCy0@jV*4gI?^nL+NhfAeI2v;H3t z|BosA`z8P}qdHQ4d$bIZe#J0CyVFOa-wuB7kNE{JOE)txH m^xGL@9}rU_kpf~E;JCMQ?kXF83v)UlVso5F$Pm(hFP+O?7NeSC~J0-Y}vAfl5K>9 zRJO8Z3E8V>rgJ*K^Zd^9+^^UDx?lI_du`wAulIF{n`rCGLgW-c;-NF4v!UeBVFx@2 z0>}e6*Q+2kH4s<}k3ta9IIK2;hyoUvnuwuz znE`rugtsReNdSyVL~jz2;%0)!xsi}4JoOYN2bY6Tv|qV!R7nbS{yYeUb)!}R{ks|f zY~k;X0>D}bA_9Z+0Kg^)4-^4_Q4Gw0|2Qc9%YkY~wZ@~c#J|kJS~x6`@=E}ef4PIr zPy`$akEFy?_^)_WgWv7AjKX>lJprh^vLXQ1MPrDR8-R5&l;&uokT^FKwQd5D(lalR zUq+Xm5kW|it7WYs4XF%_l#{2^xJ^<53}}6LqPdx8AH_4M9(`J}vo@@LTetkH-Rw!# zxhaF1s|Mfqikm!K{M6gleRczPHbV}SJPSwxX|Iic?xKm+BEcumue3CL{}g?%qicn2 zK~KGVenlre_}g~();nw5?pyi8ke$^!4fZu(`DcZ#f2gLh?fSe`+5gm+4Urx^Rw~c- zT56DfB8OuYQv4=HxmyA@W*^+}qQz>!V*6Xz_Zm`6&+>EtGsj+n!n29y{^5&7jMnp; z^~V7}#W>cDG#0xRas0Iuc*;4}E*}?eZ6AjdN5f)zVpun9)@Lu;R%!{uLP^q%k9wEY zo-3oni<+%zHi;)<7Z*}usbBPUoah6%B59(i>0DZQbJyIPyor=p`{A3a{b!+H*1-`2w|b1Pvc5TCGBjh z>)rBT`1CSMh|{7|m#rvc`4y++jNmIyl_RQnnne-8*HR~3-vZ;vPf}3=EBbUNQm_#c zg0}CtP{(?vHMtegI-!>@mdRsY_O0$qgt>oc$~m)?OcXPLk;zZeSr{W^dwv?L21i_NqW zyLh|uxaS%D4oe0`x+EVpMorkJD>J!#GvRUW?feT_XNxr=pV-VCRGnT6T3A()?u~g?vIPOPuIjKtq~FK<(bhiL zCKXohPi9hHc^o2^@wwSU`J|qr9c__+%X73ChxdIc>5MaR%+m_PWbgakG8w5{9?Ja^ zR?4#6unhM&P*G%&z!jJ=&lS$1k$e|NVbG%o3PREvCoa+9k=C>-?BW{7)D*e$r=>F< z+7{Yg^S+;cFIZ5UC`2IT+kb>V9`IbunO{D_T{lY?j^Q)5o%Sl_(VM81xolR$z@2ew zi579Tq@IQJ1bR(PIw2NhSA6PXts^2P89plY?b!QXQB|D>Ztqq<-OTFrg87GW;~JmW z*GszcM>f{cA0JKUUA|?z!g5E*rnFCTSjQqE>W-n*u}Ccuv*dP(vk|uL#k#5=+ygB? z+W#D>I=|uwyfHDDH5vVe4vreR3>-bshG<(#xk1q#y)&X=4LcI z8Y#I7Gp2lvdCXX+!^;>0gh9_>cSE}Da_4hT0~ew|J^qp``tfrPn+_L-*WZxbeHi* zGtTWd-rGJq@5ifIo_Z#2DcOtLnVS24w^9#%a9C)`y`XDOKK1_L#^T!3OEnM6R`<&r zHRHHp9|)zo)|3OW0$ZOU#fP=)%jF+SWja(cTi2|;j+~G8vv;=WXUViu{_2#y;|!DK zYCN0>)5QjRC7W@49Tg+@`0~#b=wzi-$j_<9tG$2rd}{Cc`Eeco(aVJ;WJ`M6Oljg3 zp)oZcA^+JAmm04wMwQ7h+C7pj2$YTbJg5ggsm`a?Uov#>e0G81o!T+2Z3omJwSB#* zWthrT|8bv`lcP|u;A65U4x4IM{c6fZ?=cJ9R!H*Y6YPUmp>c*I&d)y=aNYG9QiyUp zRovIxa_b9yivKw8ZLb_CxJi@jNmyO*Y<~6GQ}>FQ(zwuGqAIppC8~|5i|>iQlx4Ni z{T@rJQj`<#<0=!`%_?jP>1z5t)G};hvdzK;TiGD`A>q9{VYaZ2?g0jSLwa0k{IEpS zb*z66dRZ@<=E^gUt!~c&nXe-S2sh^Gg6+-%eU#(`x}>$JxQLOKr?Lf}*!fnp%=kFCA&;#EQ%t;OQtAq!q8 zDCpHU>%)g(fOsd9G3VSuJkt+M_YG4G<=c}6yebpy`GWLsWvfJ`MT+m&WV=G!$??|F z%dKp6BCF?x&SyHa{#0#kR^P%-NC^KC5Ks;t__?}txV_rZweB9Wqe3odveffmolhO% z*cXsmY~pLp2nh(OmzxR(+*$*kN;l>Pbq(BgkM1dIy z05(Fop%I!mKfqp|at2d@12DL}<3D(a$}_+Dg@Rp3a}*J<2UEb0k^$vMbOeEQDJ%r2 zseyH&0E8Ok7fpe6{D^wyL@M{GsZqmGQetp;b8iIlmjWi3>1hIrzs>){UsQ>j&mL@` zrKO1=pxgjB)ynZV(NX_?-%*2#P*`dbur}&C8i}F?1z(|18u&MBDN?TVf3X&|roUM$ zGu79^e4IC$+^p1Wa+@RW?%*{~Gdg|NX8mM2X$T9)rM6o%VsLE>Z*9}$!Xr@0shfFP z$(3Spk+i0j%M1eABR<~Tf~f{>WmTc@GN&`fz(S8MX_>e8jt-55*2q;u`^H8-*Wdk50P7ZTcO zerDfouoZ*Qn4~4lZ|sgc2=Kj9R=3U&uQPs?_Ef=WK>pHzm~9x;>JDM!to@DcbQHVF zCNx4#pqDT(gIb@Pl$cFaIo^_x>>|K7e`L1-+HwXNPBe(R_yRXqDRAQooJR8Yq}*qM zxf@0nd0P@1COhj-Go}B^d3^|M(?{m&W$zm3vy(f1x+q5AjDvYp;vKH|X)@VpKEA6@ zo=qw7)C^=SUBFgo8c*X+KD6cb_Y$ZQQyo)QQI_|T^=gqE32{7paC_%^s#8SBs(`l0 zZpXHDa5^i^lR{MO_b+mg6F9VlTYwf$aVi?mkqb}}d-`{2L_>n)}kQzI&%Q={8LsuYr;$pBc zjifXuz!K;tGq@IX^o1V%UVr@S^t8+aa@da`>-x(-x_M8BBq8;*q4md22fo}tw4+l1 zXml>pFI^N|pyz61c-qEUPs2V%Pp2Un!{FlrnF`~+MXL?)ao?=X;lCSJ?jljlM9Se* z2#0&~6GM?x3d+oKp}j5)leA{?Y*{y@)GVJuxi!in0g-H=LujwCC^gWZuf)}!&vQN ztb8OXg0KD6I#gLiF08IC#hd;H$7+Oe$Gs^|8_u}oaY|K%X9KR*VRn+JI%r= zT6XJrJ{|hv#4X``k%l<^#^GZ#bO)`tmk64aK zUIl&QG}68Hu>bYI0uAx(If2Z0IbG|V2ZJXUsuwu7l=pd-)1op1Y_1>?jUELe(!ACA6Ws6F3C9ph>(AShk$mZT2)KxaD zH}umuef(R@l}_)6H|wKp4AivMjD^Ho#7*_xPs61`Pm6kqu1I8xy%%c+?!3}@M zvE`knb_EuBM2p3!p&F>=xUPzYik5#hK7NDolOFfku9z9EY125#14$1_q(wxjG0MDQ zgfybNWV@uyss$@#95h20)ZjeBYovJM;xaGQT*|tX*yF<^buw4*HT}Zk7IYu6Puf?t zl(jUrY*{+<2L48-wBpU@V*lc=Z!V2YywM%`Py!nX8W|p`EAcJ)ID8SEhK{&4clFC_ z<+86tHm{^!q1BArD$(W`Kkn0HeB|oY}46nTLGIcd#~!Hx_wVCTqgFtXVA+iS1wO;&tc?dS$Vqb+ovzK zCmc2$J~ouiUnd7)J+Lq9-XVR5v#yG`wzjvt{Sh9X7v7!Qj~II026aS9M{oLoR(eZZMFE_^a`1lG9?;FPV=J~(a+}%7epV+X}fOlASEWjSC)2?gA zn)y2VCIyBc(6a}zXX)K}8BtW?Q97?d_HY_?602aVc#HAazO*fc>wHIU>I@u=p5gjr zzC!qDO;#GOd*j2r@a_cAjry#8z?c~kRH%l(QY)c6Z(#X$Y)Oe%89@ZbG z)2=S+t?$ykeXD7cb^hqQZ)Diu&B2x2o#zQ1sgXek!lgIV&L7wwVzn6Dk>LbfttzS6B4aabGl3pTb^JX8+6!Gn! zoow({Yd@c>JiRYAtK%OpcXre!qh)vZc$avFxZd&Cv5;8V*fo{h45optp_>J@hDG(5 zRk>BJEM^=t?)F*_c;5JQ!|#>rN%??0^k7QAd9&l9K9r3A0X6u*m^ zkQ`I4N3Rx^8i^SCiSrqj8_Hbzi2ICf*-h!UPH_&JxLt#K(wB=NTlHB@k1oHPtUD=b zEk_26yc4c!CNLxQUM1aAz4zsr3Bua6F8+yOm7$%0!?+{Lq_%b`h;-?jexkKeV7dEB z;l$e}|E7vBU&n^6iY%?|cCZyLYyAPO`vXjQQE@?OK`IBra9ySCkpBI~27|nkn#GRb z>EOlC82X_8r2c-{`?9EV@3MT-hRgHz-j9AE!|z{U%5X(>_k`)9Pe%)fJlI|N)}av{ z_{Wo^njnu|M=$2uynL=DhYu=mQijA=l9q+fpYW@xds$F48`!(HBQmURMR54!H_q}r z_90jHmCxB3=Tk^ai;Hu^$Y#TUwTxJGLOJ*uZXGi?zBzw`oVmF3<%0i*Z-OrBmg zeT(~`UoYDHs%dY*YQKEGj({ak+7kGJ>gKYBn&S@c?+6Afe6Ms|0@Tkhsh?YSX%AOL zPF6}>K>gebezqXGhvuOPgadt5MPQ>QHzffD{Zwv+fwOG`_Qg(P~EM>Du#n%7)S);KUSOWUD00L{H z-Q7`?Z6bADXb&hTg1yjK5&=+wgMCOiA_{|YCxRdf3Sc)JWdTYcpaHN49&w$*xCkVP zin>TN9!c_Y$DsTGFcFP$qexx|Bp!zaz^-@{)sW(eKq4s%N)Xr$O-V&S69BLr7DseL zxdUMQuOg8Y^2cBh|Ij^2SPulAz~&@Z;;&6BRiumn?d$^ZQTa79I!BH#}EtwAaKX6gfA|JERI${h5+HK>9DCH#MBiZIG{_`fu`0%hR& zZ%v6ZH~nu-9t!!FuRK)cUz#FJ>E9Y0`j1+Ocmx`Q!c*4e0N5NIfTG+N02^T4ag^zd i+7GZ94o3tiLH_Iwfr!8pe|1Jt2?_^^i|ZKcg8l~!#*#Gv literal 0 HcmV?d00001 diff --git a/simulations/figures_sim/figure_block_corr0.9_FN.pdf b/simulations/figures_sim/figure_block_corr0.9_FN.pdf new file mode 100644 index 0000000000000000000000000000000000000000..e857a5481f3902e9a1804ec2f3ecfda18174193f GIT binary patch literal 5923 zcmZ{oXIN8dw}z1p7CMNu4T^x2kkApNh2D#XE-?g%galKhhAto=Ly@LPuQEuNHlQd) zdKCdd6i`5#(nN}!#2M$C^UXQAuKi;_d$o7{$^AZ}7EnEDu#7yjXy{z%eCS~4s3VRU z49Ei58#kHN)R;j!I3%2a!eXFs0um61szPKTva<3JFjxVspa7O&2AN`A|KD#mC<2qnPyCd;{967)W_)mh;zY-{MlxQ3hL-;Ekq=Ur}$gg-n`DZ%F z3W>)OaR_of`Twd%3HY@R6C}o+-~oVDl;r`C9tuq$p8%wXCNBqyL||Q!l)3Q)^3J@N zeKR}kjj_{;tgRarz)&n+y!XRH^(g~pTGOFUdVfaTgzCz8=_At?%)z(Ifp_!k3hEY! zI7WnwJ9J=WzR%#fvz$xz#BAC1XX_dl8(94;+KP_R4`#e3u&Z02qh^}3%_cu$==Snm z2-8mEA8WQkKW^33e}#4ZaA-MxPJ7Tmy?gGMWUn>#zW?TpmC^OU5jv+&^e74Y9sOKOCMiqI|sYt18tNK(YPI}5eLy5XH zMACy6Daf=x)w^Ji&pk)XN?LoqmD7FO&x|o_?j38Gn%H7h)@9>?dI}U3;-)aS~#`JtwJ~k;Z%JEFjR+v(!D+)JHY#*W=Q# z8ZUq0PTjER@)_>qr`A@kN9?KRR1sD=^K_RxWiQ-GbX*2U3QNegX0F`zYKW2$uIA}u zeW8L`;1|wZ2(mHN(GKx;+?l3vvNAKW3?xRLZNq<9j1IMYtj~Ehl)WIj$u91G@}YS| z&*o}Oik0oUKwD4syHKPs;9@7PS}Vnw?_swj>BzlFpGNG8AwQ96DS6axg&rYxgEnk6 zS*5}ka}-H5Es(+z_o2!m#?AZe${pdJw0=fRVeyYQ7&o^8Oc>7cdre3UfA*K0v<3+c zhCi$q#K+I5s2X&5389@1;g@dQ!@}TN=E_uRy2EnX+_k@*%VMhusg;ds2v1UeCZ;B` zw5?#le#iP4oeQAA~136r6 z1~(({F~_C6?m@R1@LSyNN{7q%AP7nx&i_bZG|W{IFI&FGS$yOk-bwGP!G7564oMNP+d;u=!U z4XR3F3L$E%@Cv!)B;_hGb>=*=iikN5JZ+mNy6O%_?5a22!3k!Y8f*r=HIfOBHAhCzt|D7#Mzl3UYApzw_TqY> zwL>sKdf~LeN<0_&Ic*@ROE+RP98#NAN{v#trm>=13YMOcvJS&Bk7^H(^g{}1J5wHr zb1X=RKIf;m=gTo+p)O52YkX5MA$5K<(58zu>(a*)axa5W>xPe&ZTk>f;sIZ2)052J zY#He^i=9lkxxH$Ls(#|$Ual>=V!0%6UsrWKAcMcZi$S!?_Gp*2S3k*6tJ=Jejke|% zn3;S&7sV%fDGK7zX~RR?<5w+ttixPqADw4(n|HgGtPA&!WJB&aQxz!|Snz_{6>eO7)f-)Hblr5whYi{I?WV|+H}m;U(eSGfQ$7|xMo-C8 zuxJ&eyg5zR-g^nNe8h3XE%sXF_87nD*Da<({pU6%d7C763Kwe#UisGohMrtn%Nr+7 z*%X?NHJJrGu8p#PgEHQU-i=HrW$4l~{9a8XRikYCyZtmIIsDDC(f57D3ia$8$<8OE zp9X$bU85R~H+L#N4NQG0U8z0BLmwJ5F5|Ad;P29%a7&9t%T)cI2+!y*?CscnQ|~8j z9&76V`ck>simLQA)GczSawE^tCNtyLh&fg63_Ypp#w1~G)>!lt+23dz`#x2jI`M4i zllh&Fv8*AHPWNeldS%_ty+>i;?Go;|NZWg&X6nDmFLAJ@}lp85(4FK?)HEBF}T*1%UI+E z6L>4&6}ZXcBtusf(-UbcY;av~-;hVW?Y$UZf`vv<5U0bF>9>$wn{SynsJLl6`x6m+ zM+GrbvsSDqtKU2$fp9FR$w1VzT)=38@LIz;p-m9D(joBlRagnXRGJk?wzHtu!{=$s zQT2?|>~*Y01$JU^Wd?JZ*m31nfP~3m!rj&5O}CcjXRXk_=HLMmm?WRIelVSMDFgoW z?boC3=AFgg-a14YRIo1B`#hXE%FiL4VJ%Y!%wmPqCd zFaR<|x}xCPSYNyV^b58qZ@2Zsjdy|g5Jl)FbuuRc<^X~Mg@}>i_Mgt;tVUTOd_)RH?z}*Za zi^>)xLXEcjMVJJE>!UbnkiC=Cr!(I z!dttdr4dQukTB_aKdScz-Pga2fNc8)IeJ+-2Kww}*e?`E^Imkcj=Y!55&L0q&~!1j zqfhpX(!KL@;E4=gJN^$iD!0KyJ5E0@-fEG{6Ur*evR=|&t>RJG{^u4Z5!j?JY6^Oj7F{UU5XzWoSog?qxsNV|n?bV6rjw?$jRJP^v9;q3}7) zAVDheOKbpBfUD%t2I*v{KF#<3*x`)yM+bvpKS;0!lOM0RF9gRU^r4UjcFTd)2Z#35 z@&J{tCe3F}z9kxt=d@3svo%n$yr-eo5|5_6m#+h&e3h;1-)a9JLA6D)nRzgqA zVUrJ6^gc@nMZA|+W{?T(b)lU;VI_MeD@5W8bDt(_#GO~HTvky8K<5>I^&Q&;z6BaO z9X1R8`;4MG+6L5InkzY0CH#*gKj*qFIV_12&NWe;)~V02^kCoT@@F_N%T&~6U&)51 zt8p<`W{i*EY3u$1Q5KR3tAC#2O%uqv9%246?LC_$gYF?}?8}|!6?L^-T zOl-ns3G4;bD9xz^!2+Si7=y&(R}P%?y1HNsllv!ogt+d^<)!9c%T>&OY{_8psN~An z)iLp#%sXtRdY*ax!vjlH1SwVCN3k+`u$+fO0!uYZY}?BFT=e0&h&XWk*|zasba0$G9>HR7{{#W~`boM~>7&u1@Ny*r@3E)!3pz^5kC-j7f0AcJT^yK zH;xg<^gi2tRz9sGS41~tg(|GYdW6?XaK*$tGO9JoGP>7ui%UWvmv5M6X?Yv658o&5 zU%o1R)%SrwujK1%qp_*idSmZO<;F;3qhs}@KBcpxny7SCgy+J| z)nVnbuY@yR@xA=(nMo>9i__x~3jOlur!S8lA<00YoJ8%jCp?64z~T5kY}?L=X$o(W^Y8Sx^uOc3=KpP* zXmERk0oa!u}x?0^zR zq197c@s^UE+lULUpA*poF_oL~@}E4VSfgYNE(7yHqWT5;=sq>~M@bKHn{jK$(#P_d zu#YBZyhJ18?MI};rB6yXOJ&>f+IBd2)qJks_wd3#!pwM(x*~6IcvyRkBDTuPGo;@< z?cAMm+;p66EL*%iNW!>dy6WE|d`7cw3f*|t*81j0czAyJtK5G0$nbOUaMk!%`q)lp zgqPbRAMMM2D&@CTKW&dsw%M%)PJHL#DKdUw9NU}k*SWQ~b#C!qN&eik;UG+F=Jr)TgT_Rg$CaBXnHvEnh`3HuY%A)i7@HM^dtgp#xha_F>PYq5m& zhv~Md3ws;5yxL7@-a5T_a?$5b*igvOTJELpRsOIqGOz0wD4FI`tF8GZYKS}_DD!!opEsk zdR=CnBZ~pcfKA%y0WF$eXuOyrrfziG^j(%(#$1+F;-<}WZkv-?#rwtMg{@{MP2Xnk zN~m9KQKv~uOuuDgz*fX`0I8GPf<)Ey)x^{k^k$~5IVy@WvnwEVCS$9cJLD$^$3ohn z)y|Ly^QqR!TNjm7zZqoVvShI?jgyNE%nND;Wwzxh`kUHu@lwk0~y|tZ}T2TSN zRmRtn-1nTk80zv1I6gbRQ+b^-BDxm8B6#JTZ*6^7Vex!G@5VQwQT1zh$B({~OfT-{ zab%l)%Feu!Lj1hEyfBJrG4|icysM5c2mOKlf*zXOS_~X~wES&V!|&bBVb#e2o_J?h zr`4tf?^68ppqzPz10hv<0s6~P{83Gy%TDXOSxSL(F$XE5u$GFfW^V7bkynR_A66{i zVBZ-u2)A@Me_y(`U%pt6#|%!};dw~)3t1yAF$WL6@de2rRXKeI)USM2SN-DB7JeBq zT_vW0Jl+oaV@dcsydz=&x^@1oe%D2k7)Zl;&-c)9JUOGdLqqb|@t|*E(&w4)Aw-tz zvceC??ZeTEhu2GW+ea|o3ODDpKP-ds@1<9~j+@hcIOG~Psx~Aw(u0=1 zpWXhtUL0qh9YpgjV(Z{vsIBrhhBE)<`RQWF_8JO9HvK5r`kyx#3ZsR=qkaj@ASlYs z4M{foC{CUOAg=)OLScw_Kt&OBi-;v4(MUG}Ggw|8`P-s`OBcMz zfWgeNfByhQ1qC?;zzz6YgOIIY$`8Q&t$`KE_n`l+LFDAg9_fE+@^b&mg(%4XJ6A!8 zeCPPzxv~&2+4TKyP32#j0z~OwJroom|CohB7m$PnX(CEv~{ i`v6&Cu>^qPF#p^Qo&d)Yer`rV5u(5>DynO)$NWF^PGk81 literal 0 HcmV?d00001 diff --git a/simulations/figures_sim/figure_block_corr0.9_FP.pdf b/simulations/figures_sim/figure_block_corr0.9_FP.pdf new file mode 100644 index 0000000000000000000000000000000000000000..222a69c733468b44a853ecc34e4de351f0ac0b86 GIT binary patch literal 6058 zcmZ{oc{tST`^W8S$WAFSWEok;3^c*Y&yPdfuP=e(w9ZuleKkyv5AmdNL4M1%Oz@e8fV; zP{f#{9{>WB1L9o00BULgu#O)JK}6%Qa0C$r1i>#r<)CtM3Q!0{5u&IlCkX(X;N1S- zZ&qj`hLU9g)b~T+J<&)4(3C{PlZccwGe4Xg35oKfewCMn$wDaFuUa^&Bnh~95rD$F zQM-Wt-3<_I6^KUx!8!;c0)z7ag3S;fC<0KP5?}%RPlD3F5~y+1Xg?H|_*Xbs2Ztq6 zmIR>kuXL~lihv{eAu0PQ{MUZefZyXVMqxdOo^`QxQei0QLB}tuJp^?jG&Vbnq{IDvV4%A}hBzus=I-)kXso z_Tv+=Y4Rb%VK4K+lr!%pd7okba82gtN^F?zh6Zc!UK7^~@4ekXv3UlZO>Tv${*PO( zY@qaJxquf8LM8sj3CsXLz7m0DZr-&USBENwGR>_++KWSj8sv>v=KRH?dsIfhxRdf; zX{)$9l`i?BQU#n(p4SoNW|GQGixy5!DZ4n!a+<@T^&&%FBE+cSL*lQ7-nnji>;mZY-@#UT`<4d8dj46)v8mTCtyhW8X^~05P zS5I5GDWp0VLQ8~E_&YIx{y+nM?WFnM)Y!Ur=M@eGztO&Zpf=#$<9JP%#`xCDhH+{rpzj-0d zm*c*Sz`1evl%4|E)=jhQcT(egxq9~pE?EDi0~&P8IlbyG^LmvgNn}Mv1sdSxx;w06 z6-roBKbA$31TC00QWc;jbJF8Q>Fb{`Y+iMn@aK|z!8jQM$&qY@T7=T(w6zT5gB5>> z9UVI3$-QZv(~Eg)r!xdh=3>t|?b`E$p>Vc)!RFS2wBjXo@*PHw}1~%Tk zj<=6B*d^&pn(yDsjk`sgu1|hV`5VMn(XhsRVD_!szFZz>iz7XNHj!j{3U&aRKa&1LArj!or4E5Q|Pa&Z$9ac z3#L82i1a?-)f~b5sz=uj2nhKe6D!f-f$Xg$zMuOzeG^|40C5aU+vcp<`}*4wu?f}KI?*env-IL zuKl-DYdf4d2#hU~ZPJUcHGMnpb~%!*9)T0~3yt82tW`V7x$*1a+yKDCN4Ingn`=O~ zKofBDw(|SY>8D>`q8;bcELD%v=%nPk*4AelpVe%{4(#AV1HbRMw@s541?AJx?Gkk? zF+HlZp3fBr_kVtDwFMV=ow_WGd$Ky`ba1`y2l41r{z-bP1&M;LxVibAG1`rhn~f!% zFu;=xwY7_vABT6X1vCZ`ceO$(fb`wN(YZ zkx%J*jPmohTjeV|KiZy4-NCbRGc`g3g0l0ISM$bLX&cyvcOM})54fe|j!aIZ;YDry zgmlEgBF1Y9p+-7*vCK9RD4F9Ut?nZ0l}G1=DzY`19W!JRAIOW}yrZ)R?)GKRE%mMY zkG=P1&vD+|Goi^m`eWdaZ$HQ0eDM!C%GqiOcM#3oZI-cax@m4SlYbbr|Hs0jKh0Cy z_^;Pi*MDRbga`p`R5b;9p2s&WHy}jdtEM=ZZ5W$Jc5Ca-fLOQS+m~zn-aA5)5lS2s z3i=Bu{^B7j?)-@(zj^3S3<4XW-3UMjAQgWsfKC)l!jUMr0|A0fP;O|1HZB0@AV>Ko zuL1+g!{nU)K}=NQ`As+!Fhg3Rh(HH01q~?`Pys|I09cPgOF%U>upSf$p>Fbvx4^mq zM14yll?>I?sM}FWVsL(zcm(p70w!4KYXcR3hyRDrs1miF1K3bUM;k#vxdCC+D5u}d zM_v6sqZSpiu+$=8ILaT5L{T>dU#4&z_&1FyQjYY0(HOO-ziBM@&NVAbGGE+Kn^K!u zI!D5-VQ)_hI)f8!25GYAA;&o`b)?dWz~EMRxOrOHF(_y@yjUl#RwN;Y*1UF=fge8Z zi|09W$Iz{sf97f6#z6Lr&~B)Ae%sKr$41CR3r*@_6ytMayW`=kg?2o1OI`8Fi5@P@ zw5(rf=rJ_2__{i6zCAsLfzX)UOIq68 zBRle+e5I^znJaOVQ?Px<>QpZ zLb3{1ds3PU|H-9ed(F^xaby(HFjli0_pz2g_%e(Jls+Z9NU(In$RN`}&`6nuK$=;D zS69D`g6;Z;xck_<2K()0xkSt3`NbVAW0Nzu6X%A8OqLS6D9ogkd~P1{E|dR?z?>hA z`_SPPokkh4>1#1Up;2oR{{Hs+yW|G@{M-mIN0AvS zvS^>)_yZBJm7$zYgy=XcVcmnu;4gaz=kfcji}`VTLd-u&f_$8ZqV4hETe|SRGGn0e zod$$rIjCaOzfMwTr}kCQ<>XLKF;tiWq^MRZwP@jp%b> zn4-0iW6KMd`~v9L0l5BLa1L1s=!PrJngn#`CUEPRn2xpq9k1qUfyI4+ z%Gi}c_hpA=5b<;i%?X{x0&`EU1KuF!b8^SaI_)2EVi@aOOqGwNM4#+@^#!UdBpcb- zaT`w`%<(ze^u^s-PCI}`L^)?T2j_*NL^)2r=X%;{0iwq_g{xAzO6bs#7fP4v8r21W*#X^7Gn z_;V9w^=u2WhtDq8Epu)wAMi3o6(W-$DW}4W1;lyl=<4|E&Wxp~#PD|~A|I-5`o5y}^n%$#k7=aj3xl|mjz5ex&_0ilDNG;MQ#NWc3eXbe+KIpX5?>VF6l-Uw z23Io`5Nj7RH*gn)Nk)hY`v|W~AA7{sa-Mtpp6yJ7oL%LW?n#ncm~iH z9vi7~5b?aDc|cjbt%B9ImE(hZHFkvoa9@M36--Wo8UN7dk?xA0*O@a<0DT8}fRI+vm8K}m=5f-v-pZ8~l;Z$d)urTR;Gmy%!m@=Bg9JTpSS{An9{fH)u>s9MWdn_9Q8h`)iok*chDvv@!7 z{?|8`#wXwCjen?+9}gKH8*i+*RxvZCiN1%9_WtO#HlkehmB{9k(kJjaCtW3OX=)-` zaX{gmg01K0F@fQniP4G8vDc%OqZf*Itg;`j7v@&B>3om=R>Ef8W1?SBr?XTth>Qii z$VeN!@3svoBPx=9ki=ScTB2IygSvyvgJOc#gLb!%A4vZY{c-l7?ZA@h0+TQkBU3d~ zmtw~Nwc1?nvBJrz3ZRFYH29>ai?cUljU!^PVqb_~}JjmBj6ZvVM zATlegPRR&T1vvwa8#vp~xY#-nCo{}Zcg#(Dukq*d6?Zj86#BKo6$36F&wrZeCwf}|1?Fn+{m9^k^ z`zKG98D$wI_7w+qZ|!ZJUP^9WY4&qmbt=WOHo_a*uol;xuBBX$`cBUt!k(v}(Gy)> z;ZeDyHRRzu;Ve?aR`V9)@$J$#N!-i#L#;2b568`O|6#dKn6VvFA~(Ld_Il_8E@nnD ztUfID2zGRa)}D4Md@;O2v!~;BM2J>N0i)I%E%wNPNZn3#VZ4D$@3+*}trJTuOV?r| zhr@^03wNIk#`ttMA}69L^j}=aKoaYV%}oz zqU_?UJpnzpdJK@&uD0FI31jixFG)Sfh2n+m`SOzo(o@ZNwa$x$%5w)I3%Y@cveFZF zIqiFUTwP*0V)|SoHy}4;ZfvL&<}eLzkA{~v7?n3+KFfaQ&SS zLF4NB>k{fp`f~2BJHo^OT#6_ia^mCGE(P+?c=${BV`pgA!X3+uEpep_y9RlFd2%?H zX7Z*Chbv2~f^1i7WbM`4yKw^%4bcr~?=Vok ztTZ^dS=QajG|grttEhG-bk!k|H$k^c3D$(U|2}>a^iH`6{kg2tM93&W?4(h(k<_Ib z+#Gh~b{e_qzn|_xNOnS*H8iY*kS^^QB-@%?uXbNAn|#|E*jlsp_1&0FxwWnRF1E&H zV<70+!5~v{Y(mJr5S8zOFg>MjVFL#(&4$Gl^`BmZ&V_!8h^G%3NEsNA$&x`;*13XQ4T5FGyqARm8zqli2I@?w6@#oMHnPoF-HA=`|C zHgayL6RN>aabGaQgB z8Yd9f0#etop}Fl}zt{4MT-L6dOXtJeKxn}h15Mgn$d z>I&gxNaM%6(YA!|S-WRK6@Jt@tpL?8uBc!5;?fzVikzyI&_Eq+hdx~v-bZvr55l+3 zz1Qy%50L}EZ`6-$E&LN({cN7tS0;F{b%ovMn9uA zi0`(4*z(u7JKue39!8jzS@k(;y?2dUzImf|LrUXb=<@!l?XRE9lT7nN>35^IzW)og zRsP0Mz+cv*E|%i*p|KS2k&3PVS=pkoT37=5w*Uac(eCajir+{z6diyHieMi!mP7!m zz`(vF91(>%VKdvHSB%RD zA4*G<+rh87{260_!uX?zXe0sv{yi5Ub)x_DY6JXG?f^L;1Okxz`vJlf73CFy?!dn_ zD8-ScK0xf>8U#kU2mNmis-XODO%X=9OZ-ITA%D*&4 z1-XCKpp^YbFGN2C8iVqq80tWrfaGP_#fkjnb80M literal 0 HcmV?d00001 diff --git a/simulations/figures_sim/figure_block_corr0.9_MSE.pdf b/simulations/figures_sim/figure_block_corr0.9_MSE.pdf new file mode 100644 index 0000000000000000000000000000000000000000..287c335d974e3f7da86cc3da4ed3f6b77db8f6f2 GIT binary patch literal 5999 zcmZ{o2T+si(#I(R8l?*uEJQj8q|l{G@4ZQnAwV=FkRnBTmnOvmiWHF|2uN=NBB1op z1w^DMRp|%<%9nVK=bn4c{W9}TX8-R#yZdZrGQV8`6AdkKsDuWxTiY`fd?5A37$j(`Ird~>q0~zag?``5;77{vi2(%mLiD&l$8NUj0>d-*k9Fv zz!tuqNDx>ZPJpAaZXmD;+zp8bNs=ARK>s-)`>z8OKZ-XFi6Q*y4pzrv2xJovlKXWW zY=*>Ri8ur~p430$Q5=4^!vKkKBe;WL5E%#vtc5}o$Tt9Mp~=nBKq9a%NJ`y!0=Z`% z0H5@BTYc=gI@Tsq>0(a6@z&W#@)PUykaDeZwii+D7f#!0ebLE?e+mjxvGkXUEe2LM z2)t()$|@|p3Jw(GWXP*wH^|ICI`?xU;K6quqM#ZYp^F_$S zJI=>n(dB#YaSGXY#-3#g8mTB0In|i<;mpM}W#6vtq$|QD#u<|IrQz`XyYfTY3Ny9J zzDB3$-OIjwc@HzcSQp#D6do@rPdXznOnp;u0mv7o5tF`z>^cKk9E2~nP$!J4>QNyg zD%u&f!u5X@8MZ52qAaw@k`LUVC7lkRFck5^sAf4(9mr6AudhIQ?dxLkylL zm)nWm4henPo?L)xfStfOB^9Is^peAFhAo@?yj@`1to8Y8X*o3{aCt~chyES=F&Le(MGB|17GFXO_By& zslpY7NM9l)tH=8LdY_;1>pbPrnJ{nSyr_C+Jhbq@$LiBl@s3j%_R&!0lUvdWbG4t+ z$3jh~c`v@=Or&uOUt^g#+m)3>{v+sdQj*i#$CL|bu)-gSw*W>2f*@P+3f5&=9oh%o zV@ZeRD`SUWfnIz?H_XQ$EHQfVm7;;#>XRM%c70Gj%%`faw{2y%NYQ7ndUO*XvdV5Q z-^cevpY`?q!`heen$9D@BU@oe&w>~AZ9A@!il0w0nHF;tBfEgYsU^@)OQN%)5w}XZ z&9To)xW7a`Q8M=E0m)A?0hk4r{D7(vS_fBVs$Ok3Fk!vtdW#LvLf4fTAv@ahE>3u~ zI?qJ5bZQwBCoh#cq9A$Ab3$a|E1%s<`!VdGu5!6RKAkr(?+N!r=!lY-*X77;ahs|4 zO;X49TRZLxFXc>f8a_g}==V*FXBC++m&%5eyk_HZrmoNO>mP|$ncfXsCI8Y{c1;df zthKFn2CKo_K*C8{+7GXxVVD``EIWD8MXLmSmfhZ^Mb2;Z^_KYn@YE|vm)yO^$$y09WtI|UAP~q zc`IY0!0_B?9rrpfu#a}JGmvIVYh-pg;e^6-g0x!Q%8OpD!Y(cH?ROiKsMK%tcjvuD z8PCVZnRX0VN7)L?S4KG3H5)yz($=#jU<7#*&@F0C8E=C(CEN^_ z-Qv)lK>t-KIn>Gh;a?6Q&$d3q@fZm)(GT_-pBwL9VOL2fsl1*noq^Y;TVfF_OBtL; zK0d^>VIdF}v21x1t|R3Tm_9q{ZKVEi*6ZQ2g#P)5-S3y$KOTjOY~$(={eAG?(UIcZ zkhwd>u;N;jaPvFk-~-W-SCgh71!JW<#Mq*tn7MbUqh{Cno8MV?75Ec&bVuAqDr{;B zeBLOx*A zF79Q5%Nuv0AD%dgb8l_2INe(qtcfLf42}A%mx!+oT3yCYYzlhhZe@tC4Umm-WyH&n z7)ZmV>0s-v;|IJ;jXG zwdbVUD?aZlan?OmF@%UQ4tzY3zaRjbf9rVoV`z}5Sl-m_q)HXk663T+D5y9w@!pj1 z5-(9h*UTfu!q!|pnSWaH_67pN=13%h&Pa__S zSRSL}&hmE5m@7`d#vyFn>AUvx)&XgyVQJ5+zPA3y-28svQV-*$a^%l8D+X~w>S8V_ zymFqzg{=-5A9uPgVn}l1{=ri~ms1d1Y6jWc`SJaw_Qq>ICNo|^^Aet)#6!<6?x{%W z;ZgUwlpw_XkkN?qV%@P)YSFt%M;&oDJU8E6Ow4*5xE3yx?|t39bmU{}saJ&`_r-6f z2Ywjl-{fO7wOOUFYEMkLb4rG*QKg?n+~G2*c`7lbQTZ^&=}t$2gYTx%UE9D)p@7KB zcW>XTBp@7lQs=$lq+ zsx696RcysHH|~92?v9%Kx;>=dHoerovAX|r=JVRn=l9a?A8FeBsM}CXf_a8_yqTW! zbnaWrzTG{_aO7EAEy0!uf2$O-x|7y=M9uXP`kjn2e^SApP(xvsKbYb-)cnCRV11Me z9%KiiFpL? zWCtem9XSKihu{DJYmt!$q^Jnif`OovAitmqtm#A0HYZTmg{KbS?4DEaKby6Wm`a6HllBt!9X_zi9p>-Qb6P)G?wNdneD-b5jgl%QZE zGK_(LBb7AyO8*O~C^h|sRFCg_TbPe?Mv)q28%>f~V(#|ea5tmTVQkb%k`RTSV9|S( zNX09oVd1G^nv{1OCOjRSqn=d88xuioTDEcws4?v2dHU>qU6*3u$Ctiqy^lWf>;~S* zY$SbfTMHPir%F5wqkC;&b0YXuw$168h4$$9ST|<|>Qn1fv}men&x#5)&OI%fG#dZ0 zICL8O9#>;M6X^Sa=#WZW3)NBP-MXv1P%4wuxP{HVaeE+Fr<{^?xLEFoJHR z>Kp8*GN8Ya43%*5q{KYl+yyO;NEU{LiqH8{P3v?ztq+22dPwZu%F+6A$sKK+>`pr5pjgjg_9AXDdZ6nE+LHl*PFEC{O;_P;EO$I1oU5gC9VW*k5nA)=o+qt8%WAlB>w{@l8-PkkK5H-w z>*Xi05LV9DT53r?{3lp17A3Mhr9r7qBwl#RQx~I?l;2@@nqE^AYGQErWET%d#O#y% z*;d&yIfbSSCXWl0hb@PNuLE{i4Yh7O=^f}>q#}r220o6J(6Y{Y)PH`lVv%)QZl8lb zEE^FAO*j)|a88h;f~Epkads#{J_7hA4xU$L^ZfGYxs@2kcHE0=XlOOy7RxQRTXYHu z0bzWz1kY+YCwoPs=u2&u)3%;Mp4Oi1wZNBbQ!Hz7%??W5tPv+<10u~X-Eahs`au0;;PVkvU45@tEBC2t|G?puM2-K6`heOjzNdRBeL zG)DM9*i9H=5ngDFG_M;b4r?u6U6x~1m&~KEfe&f^iF9UK#8w4hggzj^z>B;g@3zMVa(!ElAQr7OPL+AR_M+ZkYhq?v} z2QTOBSUf8En*F%2QT-tN+fydXw}#qT73vF5`w)?U)|8~a0+(%Q9zmM;gD6nHQy*3@ z>G#IZ)GxyCtKaVSiG8sj{6Eg`H}0F$U#7oEPe)%&U&FW&Db{+r)gkgnWNCa{{Ixil zGen>g%u138(kF|NZn~i+<0X65bxvd`k^(Spn71|W5#B=?*Lkirw=})`85Wik){)%{ z9~^iE9Vi>!ppSh6KzO)5_EuByl`p<|d479zyyfZ_|FQ2}TzUEr^<%qpeBW&CZE-Ke z*DcrK>{lFeF{f%YY8o+S-VWXgx55r+nFE+Jv{T-O=Rb2RT)0AVa~yT#EoCZwhj#m> z_e})b_MX(xcB?;Xmi@E&SNun7lI(cRh<6uh3LEiJB&aed@kr+AEVV85Wbl0OGu5}R z?u7(gd74FcW#kHTXm6-yi_%3;9p{d3i49wf3nv%6BSQOw`@d%IzK(0X9}&QlaDw?{ z>4~5-aCTFcf#%?P=g!dkbfvtFyxqKO8fhB3PyBK?a@e0d%5i$@^Y-pr9Ypap>o<-u zL(%MQ#J7mKoViD{`CR*AlXaeoEy~$)GyA-An!d3TVxuin+H3>2p|{0v zugPbp)Awx;2Ip4k=hvcFC05xp7_bc3eF7Oyxh zPG;oq=a1$#8J#qIpZQHhNw86g_CZprmxT^%-iZTPmE;yIs-mYNrs8RL`h&0bG6DcL zX{7piYJkv>C9~>=L6n@_w@Bys)(d3C#2ULU|*e0ioTQ@Ic|gmzO4RYtx$87y9M;wm|!F2c$_= z)p7t)Z$~HI+VEDf>({)AcMZM`rC&D2hOF`}t!;NPrOs=;e$D%R^f{3+0jUA<2Nz_t zWWNRV?$_7p<~*xhY7LwTTndS%4d_ki?G=A0jx6>pdP>}Me%;dj(I;r=!y9xFHoxY< z1)3=Ss0%@l_P*}4UWvMO=S4zgfZLvf2SZiPQ}$*1Dfy9mg92X@RxT)W`&8Dv&CQ>? z)xEaMGo)mNxBu)je&Y4*C+wL<^O@<&_lV0&OP_`ijrx9T>9>{e#o(9Nb#(vu)`CCj z@zU-W72m0y!?KfoTnUaY4qxg&c|OCx3e1{gIN-TVf1X|;>RePkSixZxm?7&w8*^}P z$hxsKqk+@&>tM%W(#(qKJM5HB?Zw8?)e<*j;5sL zx2s$_vOnngH16H(a|nZQC`kXb-##2FedJWoJa#m=id-X%ZU3+ambyAVcxf7hpB7*7 zIBH1sW|yp6D_gsyk{Y=9{mk~pYJQw?W+3fu_}0O{P+R^l3Y`i(E|-95RHDI$5qFoJuKOCnDPzxwirj}8)j6G=cJ z-~jONzJMql{rkez2ZwY8KtNC^0P@!dBqJ>?DGhQ3{iVUkYh}s@g!xN@%8=)v|JGnq zF!CVt4^0|Eo`?RS$w0|v{8N)AFN^yB#yil z2Z7B|en|3tL10~sE0#Q+QThQk!(s^_a^OFDgD1dogkPPJmW4n80s@-GT7drpc?hf> literal 0 HcmV?d00001 diff --git a/simulations/figures_sim/figure_block_corr0.9_Stab.pdf b/simulations/figures_sim/figure_block_corr0.9_Stab.pdf new file mode 100644 index 0000000000000000000000000000000000000000..906181c12c7b2c8c177026234593ce4f3fd988c5 GIT binary patch literal 6087 zcmZ{oc{tR2`^PO&q-2RKWe8CiGj>t3Wl44;MoeQc88gF-EE#*2EFnuH`E==z2^G9zxVR_+<(39w~&FlrZ`AKno-Da+Hc0M$8P}Y z!UzIL0xq-Bk9wp%SIBp@(_IL*X7$hwZ0BRypc=8Q^nke#c)DduuErN1x z9G*NgCr0xG<7LiY}dh>~HcJR`|+``6c zQE;layA(lwnaU@Y&F8|k!Np3>D?^-^&jUr?duyu+)|V6r(!95K1%zf0-$089G|YCd ztPvSX^Y1MkN&vH+*m-D6LmEF88{M=kZ17&Nw?;0E=VBJRpY$&AX-om8YZlB_eEZzQ z6x8mJS_oxx*p3jM^#2yg@CD3ZE^aH9>1?fYS#E+f zmHqCR)&4C5t-c3i!g9ds8$+4)MOF} zjOLe*$=Qgbn+gh&7r!?r_HF0B0$4Bur+eP#fQs7XGQ^{166grl!=mtwtJ4f{2 zIT7P1vLI4?Jcp_(dzXd(%gxuZRV(;{;$|vZu0SUHJG4eKz&eGUCYm-KYXg>3W09ZJ zkEC`jC#yHL zf{~5#>D|-L3rYjn_<4myAUAA;jX0s41a#1vkK&E!b(Y_cw(Q?B4)>BQ71}4}1&XNh zj{2WG_i+PN^0>H*g)KJ9&f!*ZxjgoKc3#m%M;8O^`7jJGbA($t${80P0>@#y$LNR` zPbSLXV#{?o@h1lo6@&txEEXgNT($g6>Y5CUQo~_o29$}^4!7~PW@ko^eNy>Koy5<4}fMTlWuLO2$T?JIFJ@CObaV!pZ%F3!RB z72zfMxo`W5HIAGReFv#6-2JgrquVq|wK|%_PNJe0k_IOTaH`~}Ykq|)Y1?HFs4E3@ zW^Z`uGj8&Ba%MwW?HY>$*E4rB*v}Y8I(eJvl>{AhSrRXOWHBy%zAKRV&her#6YIc* z3hyCy=zF}r5I+62nq_VJ{Pb(UjbO`8R@PcBCPU>frA-<`TXQGHm6!^hm(}-7B<4)F zKHh(QUoY}AIxe&+vY81YHPCv?&BCIBo>PkSru3}0A0lE-`jAPCc`G$^_WLSVhhcw7 z28=W)CuUC_G9m%6k$uboyBVNmlP8E2F>{&L`O>L}m*c~pD@bHW+Bq;vzzI#cGqW#6PfT5# zrM+B2unlW&A6rZ4tCEx!4pvXt>QiNw0&_!3udU!lxtqIRSob+ozOBHB-m%KlbB0f<2%De0# zj<~1)0@D+FQ|++5`Id0yb9Y~?*laNE5XBp#zY zlaS1=IF*xrWOkjpoA(N5WRr~l!$m}aC2vC;=Bg;Z38HpbSg$h{nq7oi%TFjlmt5j* zSjp;Tus*d_xu-L8;X^@->0Chq2(xs4qV{6TknC2Sazm}3!9mb@;gSSCD=E&jU~qDN9jUsiMVLyCTIt-d#9vc%y|? zUvS7X1>)HVf>e#jje^%986H6v&h7}MSiii0TSLax50E(kMF=0cjjSM@f}uuU`Z_9TYK#62x-+Zk($3qL%$NfrODwYif7*q z3KH4t?n{NgTdX@?-x`d$9}xkgRbP`)lB?kCLL52dqru)wA|ukDwDBh_QCR2?R{0G}e=rhI7io(FSOO?)WCXAx zGZe;^%t9alP!C~?gsEcO0hW^FZ&C`f04Z5XtH0qC1&4m)51HEF#t1yX5=iDoatDMv z-ii^ZNk%Dvk`ho83;I`DeJdW*kbTFdPI#s6?EpZvda7O1%6qSIix(Qa@ zFgoW1SY*;SQ!Tng;PE4B!;+4_ps#r23f}OS&TfqB3|EKKFfR1j@zPF0Twp5~|d1fA(5huUk^5Ti}jA*z76p zyO^cd4kDJlckfbMC|r30yA>55Q{&skC9flyG_7 zmZcJj8JGBqGqy#E!(&9i{^BzpRFhim*5CSp=AAuk9n7uWofZ43!61nd1PPtIo^&H$`_i*AW6}b9QUO`^cN!+PkWYEXz;CamU zgZR6FKC4{nd^^oQAl}4NRK+=nijlowC*)Zwt0iiKn#15O8z9x=(t6j^1m_FYUU!XJ zrp4^9MifOr?ILdBUf^Ik5UdXY#%ic{im$MI#}-0IR1H$uNln~gZa&HyA;pJ|?y&U6 zo6}_TbE|k?pc1*v0$_M(d!=`caI)p2PdWC#B_&OZauz92=)Ll02Q_EBcMGQ{_zHqjzV{8U^D4YVUYU zADKt-e4(XNV=>^3Jt3r~szq~FWhu?*1@FtC#dN!Q%XtwzcQw^1waPR@2iCo_p2sgr zGUPN`6tke{%53!IPecZCHnx8Q%kxS2SH6kE(t4d)4b*Q=m}D_$yzZCF;(LZgF(XWp zg`-JRHQHT}frURmiZzP{sWKXMA&ZanSSvdBoh3WHh6c#sR_w|5d}kj`XT+zQrORf% zG(2vQ{Nmc6>7dAc#w`{-O~;I`zV3M{yqF?aa+riBB<*?c`T4SWmQDG+v-AP!@NiJ% zIiFj+!e`59%DBpS1|k(6akYiRa!Sk#6o+}29-nG;DZYmSy=HuP<{|4tx~q|dfQ!?3 z>}z>zsM76_D=nsz7T8Nz2$rpitCn@*%vv~e>&CZ^b;ORQ7qjyfGaB5dIduL8AH zFT=#sV|q2^b*psUZwRt(h1_nzX82YGnQJSlE9vtJ)e9MF*$K*u`U&zo@vmG;7WgDk z2YA}9Y0K=Qbm!KDDq1*||MR5=!?erhmyd~jV>i1pD1yHXHFVDjfk>Ndnm`Ml6`7~I zt2=A0=ds>x*9t9cF|^1w$;6v11ofALO-D2pOcc~S%3Q*})6L#w7i$ffR+}<>EV3_R zF9J6Se5sExCJnj{YA)Vcls}~=l|$ESgv>6-I0Tf7o_+i{S*KhlMJM9D^I6gJ={$Y3 z^9!5cJ=mV>-c?g^Q+?C=Md2aYp(`(ohQ7Y=c(FdDGdMb=IXICgHAom77_7{5%lkZ_ zf_#Pybo_FExlcZS9e>&>vV(UuDMlf9ZhSaUrc3&wG{j+bfVVekxPSQj!2AA}{fe1e zCeL53q$j_uQ`-;xk#*Yit=`SFGPSv^Zg>!5^V8_=7q*+A9K4L{p{r2!R&_wNlxLf# zq30vd70>NWhCQ)E!Nc==b$iD2iuC;Sbo7Pvm8aH&#G2Wgt%44NiXy@z?uE;qbLCP7 zn@OFP?3P2z)H|xmI?LU$>$h>~Vu!y6>q&ib@*H83EtAs)<%4*@!CmJ&>Au!<1&jA` z+~!aXqYvY`#X9hm*o;C%TJ(zth@TX%5lg+pW!`G(RJK^T=ir1%Mt^c3ybZd?=3wkF z0N=D$2EJo}e(H+t;v4&N0hI$iVuW&cCxhbX3H ztf!{sVQ=s>+pO^l?lYuEZlrR^?S0P#=Fw+SpK_n5pRzxBs4b|+eZTtVsl0s?=SR4a zl}2}C=mxWYm%m1%GCx+!=G~8|nvGL)C+FNA`S<$vuB2}_g*V4PBJf2rFrO@9@Hq!# zGd$DR;9G6e?jKKABv2>NA+V-SRM*b%%siXPmhn8(`mOuh*tc5n!h4XmyN?G#*jilQ z!e=sPo=@j;?um_)uu6^B(&eZ21ZFfm!X(6o&6DbPc34}5l7w!u_Jx8%#Y5K=(v#@B zH~W3FD|B>G_r5>NIyAY>tq3#u(&zP_1`klBgNSrlcG^QL;+?kH*G3zv& z8eSS3uRJdTk>~;Pja?|M!ySj;Y>!O1ny_4J0D~A-h863U>RNC?N30MA6%~sFSDh`b z2#DUpLc5im(GN8qHATzo9|z2GO(7QB=pvi7F3*O&Zu-oi$Ao7Dh5ZY%nsPsUy7sC` z+L?Lf3(ekB-V1&qw1lq6t}gLJaYP|DKg;#IO;cmXXLp~0Pi?4tOm1bu1)5;N;0r#_ zcUHEVZv;PlQXE-Mu-~zAI$n{P#kL5YP#B8q7g~v2x^Ru#y}a^mcJ9o>j1u8Ru`Uk2cHx}IxEp~|>IU@hhws&`~#&Z{SRVSD+y$Hdk_ z$;occ$h)>y%hg}7dAK*;X*0+7`4s8T(_and4Xy@WwOZv$k@K2s$*RTA9?st9} zacgit085^|Dsu$gJQyf?ZvCR+|N90(qHmya z$ln4ZP#tM!haj7g6t~e5AT0xQLZV%900mi~vnvLVKq2h#j38-gpe=^%pW<*x0MOnA z_JGW|Ft{rPb>T=CxT}*L3gHd_;*ls@vg8DVyI{}&;5`=vC6Js6gTu-GCL_=mNp6Kh z;s8JiGzM>rumb>HejO4{CVvzP_BY+Z6>Sf5adkq$T=4)P#vX%4IFh@;epSX%$ldC1 z#_TWF{|(}QIJ3Vt0idz#J^U}DmLif@jN33L@{!2f!LPae5u=4bJwV`*a2O--_gny! ziT>Tlb$3D7F-ihJAV$f*egIh+87Ucn9pEnwOtz~jKLGkK4J1q6gZ@_o%Yev6@;@~N z^0M&{O-_=$BmGm8Ca*RBt4V_YT~89M@UI>+(&W?rBUeWD?{Rn+7!rkWA-nAWpfS=D uLB1~lsExM6khe3+Jb*?R3?4vn!GFyLhljb~e@#Y4PF{ggNJv9plkq>mfz*Nk literal 0 HcmV?d00001 diff --git a/simulations/figures_sim/figure_block_corr0.9_num_select.pdf b/simulations/figures_sim/figure_block_corr0.9_num_select.pdf new file mode 100644 index 0000000000000000000000000000000000000000..529a2c027e006812f3acfe610f91014051aa1678 GIT binary patch literal 6031 zcmZ{oc|6o>`^QDdWXYbT3}s)&4933i`DUZ_jTR(HUGS?kD!H)o+MaG79bck8#Nb2h$1>; z0brms5Od`!Kt%-r(#9fScq9g`1H&VLB05SCX^6D6ECdXe1Ix)tivmEV82A78oedI? zBJHvQ>SJNPUPw3&Xzq{q^~aO8Szs~l{%{1A{8mN^Dg`EKziMH~k|;n;4S+zqlTQKp z>oh=+O^`1F2-1e(VJM6z5M%-KMBsojqyQ`6e>cegYXdos9F0Yw@qdPcv@vKrX^8_W z{Mrt(Lf|m|SU4%4>_7661Ae!|1cCO%djTQRiVz@34~fE)ZUE9lk(#4}fMeVd2f(VCf~Tx5hM1JDnk>i>q4~@F#F&*wWrnLL@20Ke@Dmwq znn9*Ph%!Zcx;qrzOcd%YH{1eMUvK#Bh3sxc9Ljr@_y@c3mPK?{_}B1-pHo|HY54Iu z;Z9q}D&vyA>f6Ot-R1D_I|jQS?J#?G>PHc~YxSB;>jBa)OJ7}A&KBD9`;c?+`K6l9 z=ZY>7zJwXJrB?fD`U$5(+rey2wV)`~?>)7jy+1#Zas_1-#P4XP1;3a&aWemcT=g{! zPJRG2_5OI`F(r*2dj~~BA7$0|n=fjO;J3|8!RHF2fu+Vi{AW_Nz#8b3?+O;SsW(1K zxa9$)K5i=2n`A#~ot!JDSXdionS|M#{q3bQ|- zWf{<0rcq&bOH~ya6!+w?&>9iRr0c{QU>15GAF~?DTz9c2F1>|TKFT@t9Pg!!hSs$A z<~q!3PW5iaDbxfC_Cw$>(g)EmU|C*cVDm-7TWrE%#HN8Yky64o*x0l?BK?i9ZPaik zWj=-NL7%DU8DYLY%8G_}g>Gfp%28Tdvw{g`$1A!@lr^_3=qw#Rrr@P@Y8cvJ?v+cc zj#ns&Hn8*MsQ-q!k4b)_R}3V@7Jqxc8+$iq;d1?;p-@_J&i5IQ%zG0 zx*3840;(1wIo=SZ( zwn~yLGI<_JMr8<7nY;zLOGVbA#KpJqdF|9th}LY^p-A7ACREnrD#JGG8e1n2mmgzWRBg&q{=WIHFv)(u-z--V*`T?-u)fW6bkxA*U%llB{>SHT0tAQxh zI4ja$UZPiG3L43HRKfF@%BWLoH#zw(bnV5cRcY?hg^WBOR%47J=4+8*R+g8>#QE#@ zHOCu@bXgnR2DG(PcGIYr@~6xAFV^vNaio1xSSd1u@f*Ic9BnSSuU&eBh9NO`)lwEJ zF~mJv^fY9G-{;PYQzztcAE>;n=#7gVrf{mVc!Btxm&GoLlNTtvLwr26ywrhi(j|#c#e21z?bo7ep?f%-CTtmJp?r!?gelhs+R!}3GLyEe4 z-=z_I<5v<5?^wK-@37lBz$AY>n>k25Ubs@xVaiC$qbNK&@7KcbSl{**Tf94e`F2m^jYm|s!yPzoA_|8<548wOxW`Lg&E1PM#hY``0-o?Wblv_$AVhbM zMGaJOb;s~l!#k7O?Vk2aLX{=13sn$v$sZ7(Fuj5c*`gg&Gq?w}MUx9S{9SLZ+|YEm z(U|=HQH9e<#om2s6YByEvqz_tAh|WAikIH&GoG=n6|Uqq(oV~>=?aMt9v2!oQu31G zPO8?nYEB68?luTNCvdPBopGe_VCMri;|QvQj_TTX^z6y>ob!$x39ewcuz3g?&+&LR zl^gLmVtSfBq36@;{&!cq!;d9k^K46#t=jCoN7^5n+!_E{)-AViYt=iP0f)P7yROWV z^q`%^fS(fs+~GX^m(}yv&L5?|Q;;h5RTLc_@nN@0M|eAyAD$>W)&u5(%9ny1p4Ai?oqbsl1v z*;$Po#_t7@b4x46{jc6|QeRopN?l+B>buHrcxvzIMs1j3g@fk3RBxEk*Q{kQG;Kyb zN*Z|`0vRNv*d?sIVyx#|Q{z?3b7lCc{Hj@X+iYCe470uM=-T^p^8NnmWJ1cPzT-7q zzp>{-M(h+JjVg!! z@3+N`FTS{%S4y7KTlx0Qu+?MgP#=MBB-Htn8vcYHGSmFQ9KWIG57q%0Bi(U8Cm@+| ztbi^g7Q*4sba+J$&up_U2-%*oHQfP7!kPhM+5{@7z1(}gx4fGqi zAtaTG)S#>Ad3lD^2E?bBjMVp@u)8|?}D4GJn0#f)!FjTXnA9%T+?=x8b`hjov$ zxsegLe<(&&Pi>|6S&-S_AONPY$WC3{+#7S|;_OyXwYw)+Z{D3FG0g9LW9Vh8 z_E`x}@rM%=&c-JSyhTAv>jwpl5!$Yy1gnB=@nG%C@@S9XQl0j<{jQ*C*>U$O+1)q^spp}a1aXUG2!b+MkKT>o9(5rDKHty{icB=$DQ2Q}MwCf8ky;u&|gJ~~F z)0MV5K4C^t*SMK0oJx=7Z0+8FDDX)|*T25)OBH%%E!Mp4&J43XKs~CAIr0p%()|=^ zW{x*{S{Z>C>6rN+-e7q^iPRXsasB~cL$X0e*;^+z8eLtmg-Pb=cYN$|v-h)#Y>S}9 zm6o&?dF5)umxe{I0=_ew>UrPq8|+`Az)L7`<)ujJ*%jsvoLj0{V%}CbV5f;Gf~SJh z&qkQ=3bEHv)^OGE5YrXoxH?l|rBCf2DUI;1Br|kipIkwK>i{8VLRdnmmD9swF3jS6 z>l9p_Rm>8_+b_*H`U?Bn`Le#?ddV_%W<8auV{4=58)8o{lqvj_dU^rB2x}_c<5&YN zF_>i0%>g|H;}^z(nipBVCz`eU-j93{Z*Qogqhii0*dl0Y;BgTu8g-H1hksQ#Phe7@ z8F;H(&z%XY;$SkRg%&E{pB8>)Stw>Nc2Z=6%~pI^1TW@n8CaTVCu_59DyE4V z$ZTY+_x#nbg9;D7;Te6>dwAFG-Be6ioEV9f>yy18Yv;8_!ModZ2NFLn{y2Bgd|*wZM8i)*O;bfv&+si?qK&Q1CH_Zzby{lLl~m|ie=b#s ztqh}dzdTy5#aj#NC-2}fxO z99k(fDLf`D#9KLSC`7vBkYtSHX~`yu0tYVp4kw?QFZBmrKA1f8q*qv1{1sL&YcC>v z>tR)nopI+)=jn!ri`NKYXis!k{YQ8JG5;#xl~=7TAC6;Uieugu^}&V)UxNpq zj(np@=>))iJn{mxl!Fwjt|={SkBqfCd<`Al=j1FkzH6M)QykQ}wYSB+nAY&60qeZt zQi7(h*QswtTLriTq=&>DQZa=w2G#?aF zYrfZHitdZnZB^y>HE?^obE9dCVe#~0KwR`d*VMd-VZKjFJ`@;TkP5u*p=C30I#}Y*LgXan8@1h-vys5 zp39vr<2;aTU9spMP5<^# zWJ#@Y*$dQ~)Ea9(Eru3zbNwA?(fneA&~0H=qid#9`6@ZH`BoX5Hm^BsPUn{$l#P_M zn4LELSg<3iD%7k>btfa+&&GhclT;B0tIMEMq0^H(H+;$B zyMs#ul_d{@?N+L#993I7F?~_Bv9(C=2$APf5}?oqDGwL(4BNrG_n&?bUvWxdPuA^_ zhrU3Se@q+~8C7_JTq~_K3w~YcO?;3z7HSxZ@Rr{?U@dYAWn9o9%9Ps@0_PhxR`K0 zB6n}~dz)rL$n_`b&%-?TTzqJ2iyyFlah_6qe|t!9HGSp08h7CH`mU0)xsaaqT|T0! zEzbFK;27PTr2DJ|W(x)P)NcEKSzewe!kdkQ*Y72%;;KL|F&n6Xv8}~WLf-Q3SM{K& z??+Eh_j9ISc6a&OIPY75dmUalM|;SpM01WtIe|B!5v1(0#+5H0I-7iWn`qZuo!`Xa zyE^ptDC5(LjbdK{WC;eg`|tDnywYEC}9yUP>AKex0ogAN9M0!h}KUm-hmX3`cI|ly#_!|8zd= zogWK$6?g=ZW>=OwcHTZBR_D5wzZ(5Hw1!y6k8c04Jb^xnP z!}`;8arNx*rTw$p-`2`f%?rY*c4M~=|ApF$e_<%#Pk&JtO|tTkXp+H5#@7F??2u?p zG!FS&0DyFm9v%pisYrGWoq)1(ARi>!9|u%~g8ck3cmxXJfd_zPWkK#3k`Ic*A%P%I zEbJPIaba+OGU~#SSh&BB2MQ4g1mTe=car1-gJUshAm|DfK@KGCgu&q?pArCaN0Lh6 zkT@Vn3XQ?LBRqg0?5{(@N#u`0!TzRu`J+8ySbrZB%pVT~VLUNtgg2=g>{n(SncQ9e zX0ZNZ{of$|hr{}75&&8IU%~$}T*)G7#4v;Tkd8!}4u19Jj~D|4>KX!%gu?)!-+cj+ zJNkD+HV}*O07wJDV1V>r4-hIRCnE>+0RE*xNVYTi0iyrXz);d0^uHQJR*p0`{6mwI zA(i}x29^6)J_uBSGz9%`oHPVXGMN9Vk=)&XXmT?0|EeJemHFFQ@K_iUg}{*7i*$E)_t5_x<9*-t zf8VzjteLs@oO|N#y`R1J*$<7PxFnc`i5-I`U^!qVU?5;b*Aat-f|xMKL$k1 z(agx%(#}@g$k~j7UYwVenU$HDgN2)ggN=oQg8>5~XJ`8Vyr*jEYz_2MrjT+pvbV4_ zaiUOgakh7H2D&La+L^kTm^s4lvN3Tou>jY8k7WnH#DF0vh+$@H3ZDh*e`Z4gQT4Dl zqkxDRIU8BqnNvU%jm*uQDA<4o$`t?Y!1aH0fVYFUb~Lkf{@WZPW@qaR{B)w={@op- zZ02O=;%EXqkNyAmJa~hD+wt1W*4){Gf`x;fos|M2X=&{YECC{E4eXA%nTegL8GPbS z&cLSGV7Pyo^U;f@t&f_&y?pFrX<%))mECA-v&&S{{8Yx-OiW~Hr<}t6*>FCnig(Pn)n%U?pNxM52GiV{O*6a7v7)FMMT}daNk`k z)gL%pJK`pLRUGZ(LqBurK1$A9%b!*$xZ2dY+WYusXCp|HY=SdLGYzffXZ2mpX-M?K z$7})H!bKt93mpOb^N93Q(BhGB;m(Th2UN6t)bTxsnGq!a5u~oWnjc#T&F9T^LTQ-+ z(GRX^S{u3V7^62>4ng>hqk9fhok&3^_%p|vo}P&IzRTxK1qvU!Y-F?%zKm9-N8d{0 zfaFCDuqwdlSlj}J_m#jfr_K80vNAXzGMv*~!L+aDXfsIHV_`BD{#xs6-nwsxF&1yc z?V@R1u$FGx8)ury6hQI{x^`FdKQ0>V?k-qS&d2Xd2p}i=`&7po3w{^Xeg;gKXSYp) zqag?Pr-QFUdutY@ntuJHY4H^NvC(!xPVRfuWgzH%e?WA8E#!0IwqS5}W>UYs@L{{t z)M!RQ_WK^hYHKt4>@ty%%fm}(@4&SzH$T^4R=IEjRxnUiL9U+PqZs#ELAD8+>q?w* zJC)c7-4GlZ_H0NEsqzJ5KqqCK;lQ5zbiTWIp|sVt68`FwC&DhL^aHX5s>SCyY!VaQcleRC097=<=w zsZJ17@?VtQ?+M*h{kU#xy1m42a9!#>(X_f*$}AQ{YU~_-o8GBZa&>At0{yDr?CTQh zk8{4sv81b3a#a-Ij0jctQbiVIc{I1|L_famKk<_@fQBoh7wQY!*Wg-8_lgca9B5FW zEX;#sH|tPPO(d))OT@{6WZVf9`3KPtwc`)3JB0D)I6U^{DiNhy@nvm=lRSK0+&I~t zKf0^s;x}!0Ju_8yIAi-pEmF6<2hW-}CP)gQ11S|$%z^ILw+_*vsyo-5C>RT1%AA_E3^MU(!8CY9>eb!4N1*JkH z8F%9ztWDNph4+4apA33elzu3j1#H<9uy33{)sK*?`MKhWppl&qO4`J8#@Wpc6xal1 zsQV=#yF-LE^j?i)G?PoDw8seyn(3QIdZHK8=euB<%q3kfl%h}Yle)gK_Ul$~QU~_hkG@})# z?`lXhl~Lmk|2qnIQ3HlyWeeIK&m`%1n&>0UBWWo^O)tWlvBcroG}&CEyYKl z^wz5C8kb@>Oduud*>-AmX~-z-khM9jLm)0(b4-M+zlU__nh)WL&bcSkgnVWi+Mih& zWBEoBBh***o-RM5;YgqjRMKgBr;5lYX=}0EZByo-An7jsLR+*AO)@OnXsC7Y>%I}{ zSk>VwK?PT%x#qi=nGI_$IcvgFOu1d6t-&BME;$fH&R;!dB9&vvd-8#ek9AkUOlA@K zQV)@Zo%aAU)`1FsaT$J6m=5@9y$5xm84cJ=ALYWuh1x+a+zjKr)Ux+rP5>eC8fqPSL;jiEZ(bRG^p&; ziXiBI4!RQqxLtm_!#wO8iQ=&MVoQ<*+k(n&(A(3C%RKZ+3(IBiA~TED%oN(t{M{Uy zRTpzP0>Aut!e|bw%bEuK06K%5K5vCm{2~?~K26bU1zVU6MfKK=Z2d7*X8n;hoFpQ3=SophKyiok z8SWYQ%x~ftHNCOkw~`Z*y~g%vLdW?nSZ7}k(@Rj!I%-TVC4A@0husfnx-RC-LIWU7C#4nj1Ds&kg4FVW@>2dib@ z_gHx}q`JKjs0X^ok;5QkR0uhbS6x;t6RoR)6trhHOM@pQq|=7RTo?a}AE@YPovO^V zJT0Df+9;9xrbaASJDGwkE?iyl7*}hU(So$1gIBPNy1yu_IUX`N4@)z`Qq4YppA+|H z0qkIc+lRXbO5hOTr=j^yQGA^jwqrFEOzV2RYo_4cWEJTC6MLFuf$eqMwKtu<8QuAt zYvb)RgX~nr9*knUNGm2%%qI~?i8emt5rO=~7PZ4v!yq3?0VZ9`+DO#iwd;0t(aH_s}IjhPysqD};BI$cRD35fZvjv{S3>N3@4#zWe_C@WsmTRuNr zjQ~WD!8MR0ZzvNFy0jW>*92W-;ibnqN=T>(?A%mDpSK@c-cv|}d5i@8YrX6PD8i6@ z1?u9VmpkB2;yZq4>z4v=rwba^AbW9la1)fnGJr^4 zpVL;5i1gSb%?3~Q9Dp34o0^eziE_(ZOax=o0qgx1+V`Nu<$w>(lZG9E#`t=}dJtip z1Kj^njsXlegF%H>a^L6vk-B0(-X8)w*)GaIj35lai`9OO^U$8a9y>xz5MAPK0MiMt z$*(4oB?Gqg-r>2coH4eKss@<4-dT1|1A^+R2$oS5*f$(T90tL_i`gcYC0w9km@W)U zHpatlVH2HceFqtaiycVSWZrIYt@b0~Y{gq0iQ%h*+68vF;DIxt3;r}IHdMGaXFe}W z7bvPK3v8Bp7~tl$1m&B;Jg#wZrf;Zg4GWf0JEXPrBIT_?Fla1JsRcK5larEIN-0P}~;&=R(4i}P0G+%`zia9*tt;|GtT zj<^(sT%Kl0G6&@xO)p_SIcPB882PPX&-^RYw})4%FojRSz#{_G+^@z5sc)ukNU5Ii zOgKv;3FDC=6W{Q}h8G4)v9ZRL-JzGZVj;tO+x8^p>j<|iy0 z-2DuXp0t*OmH|+(Pt_`coxgdpS0b}$pE~n>1JIJcJ()p3&vzG;H-(+h^vhqRq6F6c zdmNbj8V08}rNyKm4V5Ia$&rDWIBel?Kz}x#?ge%WZ!y?5*W%8I2TVHEkrbI3 zWe?s;$Q5(mZ?f)n=)M$P(@z zfWEO5gUd}d9^{%-RpSg>&h>SJek>{^;k@fE75a-b<=5H?q zY0Uj1u@?MGofaE) zkH~QE2~*);T)#?#WG{fsPOT(5`V zLX1A@ev+tFHZ7v`n4RJIM%yweaDa^J*X0Nj;2Q5(Dgd!Y$UThi!R^cm(%K z>_*y&@|Lbvn+zx=TGzXHl@klACh4F0=@t4J#D*++>wbFr>;B7Rs7d_HTU?FROqPUP z;}XV)Y3)lV?Gs;4JwHlAeV>)~vAv>kxcr&8_s$uC`ffUr>j3M~M6t~!bRMNgH`~l* zV2o>L^RvPIIiFR_TVg-IPsn?gh^4aJvgTQ@HLKe-6X(L*pZPSbbv%WAa-1JFrh(>> zR~KobL+sWP39J^|!kX6FS#OdWdsPxTf^>)!a-~|qd7VGet52H+5H#d#9xKe^*{=oZ z9JPZHGzdMW581nR>;i2m$x>l%6#Ae$2_51)x=oiklozI+Z(zqCr(@9;Q7XZF&Gil{^a^bmyz@q|E%_D zv7_#M8E`d=cv$D0honir=6ro+R=x0-6inud|LHx$m2T8b@GRHCiNy^v)rrY*�%| zr2N3}@(;roQ~afCXEs~iGmcMImyAWpZ!A~+@W?)AiObR_(r4#fj!IUH-TIB`xu{Z1 z)24aHa-IlKrANN4$T3*ULocchBbiC?MX3hB4z5TvqZJ}lufmDrGV~bBh+QDz-jXxz zzcIvoHC`!7I@En6=-?^3?W_TsE!9)<;YSKGGMEKjWCip`sSmUEQc|VV=irZ`%Ll@M zfo?i{4pwKEk)UUmq{#(R;}5D|(#UZOvX?$Ya}gQ};t?2be`|RvhL1hRF5+#GRY3=I z;WML*!6II%+5R5aR-HHFy-MFmbW--dQjO?IjMGdqDr=D20H*~)rY(P8+?=|fc*J4R zHcC)FVA7W1fz<|JC2IBwZ3dDxZ;L+Eld=(z9~YNRpn-P(0c52qsavz z`Etka*s2u2fMo`~Dxj3f))2LQuLM6X*!|TjZQ&mIf(It46%|NDd{gLEU_KFfOFGsC zr`-ouuU((B8=3f6v`&&H$D}?~(8N%~2ZO1yggmT*SMEU+z2LMGrrir@_(|mAID4HZ7fF%9@J_^mjo5V%0yE zJs7a*RV|l4(D}Fo*o`zkKa>OgOnwB!BZ-5op2Rd0nhVhx4f7W+7KrfIuUkuDvkuHP z^r}rhhqEdNy&5SqtOP$3eOc_>Mz~F0937um5uaqHx{F1_`V!8o^0gxT+j#BSNvauF)v&ZLFd%Rte^Z z;Q_-*&OaUdw1UsLbqw+u-<-K=C7Me((HTa=k&%$4@1WCE=6_FQ2_9SG^&V2WBpL8Rb$;KkP8?DJ|4$Wx~qlXd#8%u`{Y?x?ks~~OI+UwKaN~N8i&%Aid+HAjS0l)9i3Se`2d^J|-y0(?#SuPk z)=qekfBKpYt^jYLl2rzIpI&iR2duskSQHp068O*33SJ^hCaAiJN<@Hldj|AulPUDQ z1I{}yNP)PlJk^lo$<8v0tMDu~AEhPS!A4F1wx~su4!qZV_|uGTvTFAMPi|_r_W(SL zFopgW5l}PZsd8FVx?tMGQ^J@;$9&iWS?2K&+E)X~^tWGWXXRs5ro-TIp99Ql?rpDr zZIWUBoP&1Ar0;}F*b_tw55pbSL*G!*iooeZ;6+YRi0jD1HVb}dZ^DQS;MtoF`3y-N zg)Q^(ppGZg47S#;CPQtw>D&`QFk27!7o*OCFJFcCrN49S(dWs?L0|f9H{f}WBeHb* zPxzV@$+Nm_pIG_L0l%WP_*g44QSpO9Q8LRlCCcFRnX-V_S|t#JK)I2B2LYlSz~bc$ zi)8URBo4|_V`xJS*2;@y@Y~?_Mlad_SqyD3aMhpaPi9Ge(&Kdm<69!l7f1LEX-D6# z&y;2Vtjm`Oa^zbnI*1qkx>iYfDRZx`%guc)NN|vd|LTwLZ$1fl{SgW!?Ha~CQ5%R+ z(pd1YpguJnM`2=Ni9mKr*NXDDo+w8BnagZ5c8~^{tLSf`#k80V zqdzKT(w+=h{W#$Zgu`mFO(q_#7Z3Sj-$ud!y_pK8eH%WX`&rE*5H=Vz5={GC5I4DC zCAIk%13NBT;oyU#%&Ju^6NMg)o8D zuFm-wF)P#aw=v_clDT?FA;Xn`o7_WW3D@YAf=>RK4}{T2@{=>^u5qKdVw06*WvN=j zCYx*fAJbvsRY&rlZpjZGWB@6ye`B2pavbsUInXzjM8U*G8o%LNt;wEvt6d*9gL;s3 z@O@8+v?_wa`x6UIFThq=bGOzW?R4i$#hEtCz^H(84&aN!*`@G!(BA9GcPV3bko%9u{0Eq_UcS)o zH=_HnajtdygwMe}S*IyKC0mS!PkAMEykyOhfl3fTnrt%m@Y91>^+8_sCN1T;Z=s13 zo+bMprSsaktWgTmmC z5Sle~p^L#=l(#AFN60{?M+LypUq|Q(_C*mSlL5HtF{v@^?PAKqcy(QLRV?E&vV6?Y z_4KK#3OOTpnZZO$KUNGEZ9P~@TM@zYX2#2EgPv_JVsVjvkb zzYLh|&<6HdTj=u_kB-7j`u^rfZI94}_&n-rsrIUO9Z@^68vv0 z2kG?3t@55gP+XpWMV7@}~>%8{HrvH9fmeU$fv1eSJB|aBnD;M@RgD}wDmi_eL z2pyu;#~MbW>q6eR`J`T?l?`fBZp@1?cq*f&Gd93A2HXamb&?c|>Val=)R|B&-G#p775vJ1c;*oqoLR5oo9Nyq(_3wz@A34Rg--UnFP+`fRkg0m z0&kbqT$d+{i0fx6=mF4dOR0lWq>nT96PTd+FRHlAK9Rp!j|lvmC1u}z3IgvZg~G&V zg)*!D3nHD}S#hs;tCCYEk4jpi$&SLnR?iPfT#etUD^6cV$BmT}gu6-{<6qXsE-C)b z$O9f!c&cF(k6;U7pg&-5_?6n>@YQT%1}JZ{rd9JsL|ySK;I*uA<2x{V#z406*k2N_+j4hs`s= zJ>03u(L?Fn$?OMl&yaxdqpe{u^U(9}p2D%@0D0}5gZ^p3(}pQqZO{)rjjZW_r( zR~!c**gMOe2YhnZbm8*;%1@Ulzgi%B%*o)tk=lM*k)-eu>Ih_{0wCH7KX&jN0r(kn zk5;hvInWGD>BS~pd58k{G#MByk)r?kMSAiV?YKr=OmFx)pqxBOjsUmx7Ip;Y|l4Od;P1Q;Dw8Pu-pZ8ke0j@?{ zWOU))q&JsTU-$CgO4}$mB@$SMM^*U56C_s_)%1s2_U>E$ib?pD9*Sjk!T#nFJr`V` z&*F6=p7b*|k2>MvizSbgHorsf=R~KRtuU|tiZ4{)w3@Zo*R)@mToO;!YMFM1N^v(i zYMFeB4->hK7#F&OX*cXruuD#|Q1fkYVhAfi0 zw{8VEi4YP9fF{X=QBb>Ku`vynByq-M^*-G1Q4$6_sxBs)@qgh^C`j`+S5R&R=tRGp zv#FNHvPGb^{2BZyJqO_nSxufl%~nK-K(kM;X~;D@J{P7Sk1>&>!FfKo$5ATtQ`)(G z(bnsSojy@{v0*n+*H7gR8vQomp9XBOtJ)ThhT`7g-FioL*{b8t)V?Z6J+#Tgu6%Fh z#@o1KYp$;um9iA9{3dP_{l*k4Sc7O?uA7&@b-nq>B| zs<^VoZ!c%265Cc=ELr_jl-q;61$ygeJhe`XyX>Z#bfv@Zz?9h|52w5mCr%1uJIf18 z8wqEc2NT=GI`=vk62zJLidzIO7$M5H{-{lh$u}Jm)2q+8dxH3cdwZ_ppdEH{52ENU zjC^ECE5vl9Z;;3^&WW(^-sHS5GfO@;tbUm3hkpGAy6=EMO10aFU`fhap>-rV8JDx4 zvvlz7U1HE}2C>C2ggH%eUoW3|LWe~J_OK@66|U8p3&vvdsVQwt*WU)LmF`I&QqWtCj_%`_VRRZ z^ebwy4>>Y5X%09F--cYdX&~a9L+tyJEb;uLIMw0Z=bLR z1~-|UyfA7ajAr+(NjU2mQmH~FbqC2U+jYXgNhZENoDq6IU5^pP6Rm47$}R;WT`pvM zaB(P3m-uv*YiyC4_+l;4zn8sI8fFY7sCcX)P`1zeBhd6;`XSPKtOh2LuZ150fkmWr zxLJhiz+LSFhxj*vot58SSk^4ZSNP`JkLtO2Q~rxBO@2v5kr^~v8gt!q*6^Hua`I~D zNQzs3glmA3Pm{nDfHgPjGFa7R_RNLPdE~(nrI%j%p+MWy9InOL{bcT6aj0DR$gS^Y zRM5LbpTcd{3KmawJ+1n+GOA6;MoV42@*t2N3E92%ZUusm((5UZ(=GNidZOX?;hP8d z#hNb&ByWKLKN0fv;f*C<=sUtk+rXjh(X*tiIZoaCusVb#%L*_*4-MdP!!f|66#2F& zO#5cp*zuiWNeyxW2jy@7P(tTMO&PoC{9^?&XRu3>(L3PabW!&2sZ|vop$ZLFQhQ*^ zINN`+II6A2-`dUVGCM}VSry*F9jcH={|L|m7|dF>%LYOZldnzJeKHZ zB`;naO^FN=8l)@D(G-RM+d>+wURzgUjThdeCFH7AvR{@~Y@!PT+!aW!m;ePUg$Hu8OyTB;+3L`i zySswf*Wp&uM@)Zaz9wcpd8s({Z0RC~h}pw2`PV|^(M-L^>bYJpG^lW4sCs%mcdpnY zziDE%TKl*%jBl4(byo28gkAn zI=_EJ-97VIAq$GFBALH*kah5AO~6JV`PlOT?TwBtQ698eM1PR_?oH&v;F?l7G@|bl zgWVZ-;Eji;ZNkLT=14=--RhZWkdF}m+SvfknqFmY{4pYGns7WUg~d0!aeV)HJf<2} z{ot7JSxX)iI|Rzn)BAmpvN%e&dq&0ko0K=kF(REu)bD9ckJanAXk_)881+~lA)P$M zP*>`Is*gRK&3sdJf5gOq+k%yJe00$KYaM|5h4-ImNc)>jG{<2N6f0# z#mW!FKda7vYP$01o}p_w?J*$5%#ljVZ{#cHurjvyjmY5T7VruKhP(g{^@W-kj(}6< z<-DusUXDx`XL*0z5F6YArLc4YjOlHo*JFBT2vPse+E}oPN*RATKBgHHe6ySfQ~GGn zRNo&h``Zv8gMT{a;?-06;7pqh7^Rw#8$GK4dyjB+12Lw`>!59eJ)i#MnrXMGddX`+ zL~Ovh2~EoJ8pqsjw9IN*qO%FGE~>Y1d}foxSP!_@POKkmb{r?2cTJj84peO$PuiHG zVj@BooITE)U7Y4c-YpayAmtgN*b$y0M5W?&Hgy31sOG%=ApFdbFMEQzIK4IlS|12aAlhJI515~cYT~Jt(7cFS*cfATRn{L^ zBi2EwXvgpfh>xst5kCfB`cy$XJ=49&Dami-k9l9GeW5)8G~|5U#Ey;R#-TZ+ez*`> z(zQC-*`t+r2E}e^m&7k7xT!&~j^Eyl(R+n`a#toPf7=-{{T!R$IoLZ805zhs&(}WG z9&SP&(jIOGykl|RGv!chG1|dHw~>n!`_df8go_G@kF^NBc_I<_At<>W&}iA)$7Who zvy4HqWaAo5;V3s70{CH0Y35W$Z7g zeTJGu7J`Z+T^I^p8nEBT7Abg&lYT0+P5INQ6>9 z#F5KJG9vD=7iIyvP|oAzNtbWDfcMUhpe-UtGLmH)KrSyw%J~vYj?}~5bkXr5 z@@ehsc=l3TEqtGz$=sEtY`{?gw6OO)=zxJX zkfU{{Ke+^S&Rg@9Cl8q(C?jdO&7eu}_Wo!+ohAIPJQpSry=P^uwhs0&HBc~*F- zR27!;`69P8R{eO*+5wKoH#${aF=(t3%^j`;aP7JZgT= zja<)gz*R62X3b1L+Ryr016oKTk0u}wF+G+rFZa@y8%>iz4X~Rso3;owTfFWaX29=R zw|m8eJqCuTpP9ritlDfX3P-#{iXr0eu}DFuPKRnXH|oV6d;Vg9YTCBvLb2oNeveZV zaP^@Z_oc@S>nhgW;WaIU6GLo1uTj#6%fsr~aiZWV_?F3TOKe`-?xyca(;URBN@C#! z#QaEZWODEW@_Kpn`wKSC?g`1s{TZg57Q4}n0fh6Y+Kkd)(;J!vv#k-8$a0I#@gt^i zBr322)ZRD+>CZ?9uGk)>SV+gL+K-Qo#W+{@c49P0tf}n`LZDXlf6(rY&QUP53XRdj z=3N^PXCmO`F2;Nff$AH?Rojo$g4NP}=_#R;X{$8Y{M^9$J7HLtAJWzYIGB9m#ohN{ zsaF$AN7&?IuD<4IZX`3KO3zT`4*AaP#<&+`07J&&Yx8rVG|D4s;Afm(e|X~X$cvq? z2ch*bHj4^;n`9M1bssdu(S5XsnKXGK*Vb9RIe$#?{t+J&Q>myzY!Qi`rE9_-xuY+i zEHPWFX4xr!*L=8;3LExtlv{}5Bm3GGnN^?tK!>O0fUHI*ztu0y18d_J-O^58$76$? z$p{gn(EN-X7kUUZ+pq&V%%IRzF1K%`66f?!e}f+@zE|6@lyusADCxTO%xcAFU>Wn} z(KNB}GZA8f_N*BRH`0B7@f*=Q^l1XZ*%+oH-VSO*%rD@1rZ$&iZXL0ShO|a|C{{jR z%olu}Gnza56nbqD0eQ)S9K&cf3kcUQ{k^5UGs1oufxnS=2lc~Rla^GPkb^r4uD%QD zPWdAV*URyv3pN z!yt%^$jbtWZZR56&QJd1vj;54z)3&aZ*THWD|hrIs>b5y>&G6X~ zn>Nc1_`slDa+1vZ5+DQn60?=EI#5rFR)0JMnSuS>^{6`9lg=@S>rvInMln(*(Os_q&APEZnbD|N7Ro>mrl{^@NnM;q5To(;9bllOO&34l~y>?GQDB5xNxA)ERGG0G=uz1tHA7QnE-h3ynb32HK z---JgedT63G}iHhp=X93ViFViY%~-OvaLHr7 zsrE^(cJx{Jz@_jYzjHziKdgG!f&Igttliv-Mg6tMNcH}aQ|YYaS^;65`wp4;O1=48 zPxxoj+P(E~+oj%z&OM906uR@%6b7OA_xm%s4rVJ}YV%vwuUCI|rWhcfjDOV~f|X8> zcV5=s@3vMfTNM=U?;Qt@Z4{p?ZB05gY*ulA$Zv-F5S3c5B2}HSGt~LR5rr7!>KgOB zZb6Gmb}ExUZ5n$$H(Vs2;;MDatkcuiJjRH0ui`45swh{0m-2?&#%q7nV?vL1w$Bm6 z<{qD3Mq~Yldy?xhZd5l`aqpo(Eg9Fk!U9-t&ow{#YX)&S=XY*zwTXlIlhkCLFSW&e zBU~6e^5vVL(He+xB?L$X2!3fbUFf5L12E8RqByeozCCYc}I4&sVd zJRun5W^H=SkNBk62hFb7P8MB==Ei-Gf!_eA5jy27cIv$0gV!3}ahLcvSh8s(kosP3 za+I&4?2&0a!gEwtSSZAGr{$*tXM&5`iP1-HmIa2-o##j?`TME@{+?oiGCCV6bvZHY zqnO>dHjzs(C@e)L`>9@ZfjIYQlteBt6Qw6^`jy6~D>{q*7NN_tfQsxR5eOIcuqAiF zIGh|PqM?q#?m0-zogfSt)4LCLJZ*X=4>RP9Td=lRi&Y*r!z-d>8o6+$uHGQc6@=i; zP&U=4E4dkT>Mx(Oi#DP<&G=LYABN;3KLTgqk)P5}ISk`fn6ag6xgfQU0D;CIFg{%< zI7+szhs}{aa#V^Q2;(Fb;L*Hd zvRCEq^vAf-qos21b!jq91XIiI*zaD#8l^UOLJl;PPTX>|$^fAE<;tO6zl+tmU z^=|8UO?$Dr_MJ#;s&CAFw~C8f^X<~*av^OCEBlh@B8=@+&-_;pJVf~HM`}j2Tx-yr zfbvSro!L;p;#0MB*W=!C@JP%@9Tt+wjcCb={X;VU=g!pvj==gB2s` zj+ctWhH$hl|BFeR3EHjQpicW7&b1Pgzs2$!k(VYp>@uz8s6A*`oHqhz{O>6Umt(Po zk1wG90%*MFHZZSkkBYBpZnmQ*VG}$icd2Oibu9PtL4ISOn)pMOlT^lNpkE3Xj|F}% zCoSkhdbE5f+Q<ZWV0B?7}xVoaLH>XWU@Mb30eChqz z&ybNZQqGhZnj7GNggiDgM;%904?>J1_^la#GPx^2T+U<-*PoD~x0%c_v>z1yfxj%{ z(q<#aiZAio>e?YIM->C3v1yJhv|svF7RHD(4ssfre5>29Dhlrj5h?Tq4kEtl48AnR zT}5{VO1dR3_jixx0nSG0qcrER31SavxH!oO9NPx@&3zJD{mQts)_lUG*=fMvb;~n* zsOMmPqCOrl$InH+1!A9jni&}Q(c0QvaO8>`@b>B%yten)vB;1uLV~x~k5nHU7##ekX zTmV+a;`*}9(7Ozih2ahof$0BA(t!j_BkJ=zk&JcGuAH!6VAsYP+Q%uN8<2IwW#Qs~fg`;3m znENdae`!pT^9HxE8&RVzCBLmi{^8M;tUFMUHv)9X!M=Y&-AnB)!Y#5u7G)HA1;qfu8VE znS{N7dbmAG%SR}|%3RHmwB%X}`*_&cGRo;Wb$pN6$;Rb)u#@ zkc3UF(s*#SHrf6<3kTC?pKyth5j zntpQH>Uf$|1@>8p_*VS``tzNFsb7S6EHua9XJ_(Y= z1Tl3RRfTKThr8iF1C4G+ml=vdTeq-xc_qJtRws3BFfh-hliX9|c)wg!%|h$4$f&6{ zXO;#+;(Z^UD8QLQ?k@DgIC0oMFN>Kx(`+zwYN|Z;-SqQUas42zO)tK}49X9MQrO?Q zw4~akrA!VZdOOT>DBGs#^q&0ip;_CizVnEyEzUXZ<&9;}_5p8IO^#D5M8GO@^68$Q zkGd{UzcdE#)Ql~y2)H~h6X(&d{bu{M5KquiZO%z!jV_^ZJFWhOP^PZh#jM&T`r5a; zjUS#THxaKQD=Ea5!3ygA5j5WN@gGNwas7JZK9(D!r^lQ6#6OH2lkXax$TcjQpqt2> zD(-2S{I+m-`HeKvrXy`O{RL|F#aq8@(#S;IzHusn_!FEs=DYQa`}2CP*G;haJ1@!H z0drUDq_S@`DJS)IdxMftcJ?p?yls4M$^EWIoDSB@!D)hPPyO=O zzET^wT%??1?4uku@hGfm6fA{wo^F{8m@oCd_F)PctX=d!dSjX6_ep#+e=KM3y{^GH zHMWnhe*Bu0)$otdGye0lWTBrB6`3>QwJr2PF!FkbI$vR~742$y&xn%{>ik6nDmas7 zJ&kcno|G8*yPSsXC>EMR_TTb~jh=0Vk?(U5W8YexXvoeuZ?4X*u#etcn)ff7!UYYN zgPPH&%Gi9Q;q@^fMp)sQ5Csf{80eHH4g+-{yp#Ac#cw>{9J&`?VxuZ^$=&l zV}sJa>v(w9$FnyD5}2`eo(C@WO~wP?H|O8yfvex-Qw|;9<$(?M`QmrI>XG3Tqo^D9lf{xr9=}d};-^TrPix-OBc;$J5-DolZmKcQx2XI7=_c z&)?Syf;*0f_>;~q^T$k29taxb_aw1)(aH%{7cfi2SE=pRJ}4LZPP=1l6gR=0GLYYL z+cI(4D9R!cUo#2Y$m_|y9P>5E?MZUHg7=vPuA3=&?|R7j7Akz`nC0rAS~%9xuy(Um z6F!#H`H`~c;E5OL6Q7tQ_W8Pr8tvNY`l4=1#D|s7zGl}KR$<^|K|6LoMt;B2c7J2% zchR+QyM{yVdve`$v+Hs)caKVZ>^}rBqW^M>|8k?@)aO6cVbg0Ef& zA|oayYUE^QO7VLpdjHty@L&ISTm;VkwuLVfB5vktX<`O{C`2A$m_z>Z#DNKN{$FY0 z@D2YDO*}QxO;u%zFl3;Ct3fgDQFy|jm4z~*G**LjEYk}X^hd9nV?fV2#Z~Ram16VI zSm_u2v&CXdpNGFkP%7PdKrBA$U{64jC}aAacme8h(3i46e&K7C-Y_s{e&91+2a36Q zhur#F6W#w|rY6DCMn`B=gt;Lq!ox!lk~L`2zPwzN5GINE8PR((()u$#jHsawo8t2N z#fVU33+O&Qp;qfT3rO)(78_zuP_U`^=`^$&x=^-$3 z)H@e4Lfjkb#!yItgm`b>Yl_#2l{(${p~#;_gN0$~$uOL@yPT=o#IR`??qH%OVlL%V zVP7&3{R>%@~qZ zBxEsMMbZQ`8Zl96#K*!r8OjBu--5R@-)!n^(mOw`17V3(XDC_VT|M?hrD8_UYtb&j zwMH&CRNzMY5Jc3{bI8g~&JIm_NxMzhBNu%v8_h%>Jf?s+d|J zII1>E{}$s6S5DF@t8b`(6XeXuOPm_PB&m^+GWcw>d=vMS`|2^uyG)ZvmJd(-UX#*3 zE=MdUE+-lJ!1JECGtwxpRI`Y8oOCA~tHZIx*qWsZ!|Rb3o)FhP^@oR{oc=L}AB5^uS4ttNxV3OWAzGy-p(kbcjBhh~ZNsGQP0%yhz zN^;BA$hwPA+kkT~LC`rGe=41$53zDLp& z$B|#_^}MJpZ93%wU6WGA3(Xe~=no0hUyjl{ztB~3&kNOHS3OnLE&5cfndvU>Abs=| zPrpYx?0dVCcCKo+v+7pxa0RQ{lq8QTkC;cfW5hA?niK(JN9eNHl2SPRHN82#iE7X{ z1v8b}QI}E4ZLMu?EHSn`jfSKM`N!>r^h5m=fARz`izc@R)2N-x-cSa`N=ZK zYW3~z5O?8`Gq%l#Uef(9aXcX#v*SS=ee6{18W#H_q=R3^hsTdcehz;d=FL7+P5H5x znfk3k>^kT?2V1R6PAa2ZY$K=NBp9PDKDNKW^pqvfnZxDQg{JPT?p+<5XQ!u<=X=jR z&x=#^E5=*u+hBRQYA5DT!Xvtcv$ zbJ=n};g(z?k5A#&j)W%?=%#^6ly?3mdys+c^uLu3%$)3l)nIlas>l zpTQGVo#)fK$GQu(g&VE|KDOqzUDY!tZX;=L$&H&@8Yk}Fy~}>ro!MtJJk-oGR62fy z648laV)G`|O_a}r=esNK`sw&oi`K69d~njF;=6+KznXvB5E(GnAJ>0gj9oloZGQghoWZVrW}v>^ zYcOOPe@$i2X+dLvYpQz8?dQO}-TMUwzY4#Yd(L|j1Z{*_|8@Vb!d=ZD1AIhsGLS{a zL~sK80wr1mDD9;UyU%0lPp~#HH{9L_4*C!7W&VGaTx(DhR~VhCQy9XJwla#g6;>)@ zN69834Zax|Q_3bLmRH)Q*lu6m5Jiu&kJ523rI^%> zHlE1H^VAfGhp0mqYE#@4KdXBH_js=>Tpw@8+i}>dL%rp~Q}yn+;k~z3?lo6yCN<3& zWjoEi+EQPA&Rbu~Tb2-)cxbQtM_0_I7N>yY+{k*)=5cqmR87N!3R{Q0s_llABjtf7{VD_v{ulkTehHFg z^gNi{_wahgjc|Uymg>hVyNB1F%sZ8b9gNtJOWgz?FQkeD-f_MSNom<*s($~N713^$ z9Cm^DYTN0@8(JI-u%Rp0y{tVIww9imo*Q>O!JkRWCgN-P@%xpJ&*q|8HJ8NozBRs` z&HZid`D-@tsr9gRn^jIJVJh5yKQ_TBVW4Ce!uQFK$@0wc^jjU!DnNJT<@G7$JI369 z;Cmg*6b)W^{HXY7v3B5POOvl=AK!0Wq7Bm3hL=y)nWTRotxQyMr>xl9IIkjVCyNR_ z(y!(A-cfa`dQYBSrmT&vt+h|GM>E52T$T?9-L9y9qKIhvn&zcnw&)A!;Qk)pXge6&Z{_^4A~(M(L(_GvS~qUp#PcNr z{!+A>-HuALNZt7?HN`nz-q+jP-6Sma4A-SZ@rX>g1b-oZ*gDd4y#D9j@d1~k9b?nk z=5>~_fgyr{qVBM3#4XiD@VB`2W|K80PLZER7Qs$}q19^6@u$&K@lE_vt-5$+*kI$Y z({Y{sK9BGY_ky*h_lsXY_npk_$tNWB?Ozd=%KUD1V`=nM()cGT=9_FmAH;L+<86Ks zRPn8ousz$(1)UjHl{{bj8mT;0=Q{FP+xDvUN;}vka6&Qd(R}WLrqX5OOu$r4ck7XI z#WaJq!in{F!02?7HhKTm@|Ky#Ayg-88GXZFtrZ0(l=wstf7IyNbP#!80qY4O?Vd4+~g(5;JE`i`+DM}6mOhhOI=1LSe1OrPE7y-dl2`&pkMG!32 z2Pp(PL@Y)O@UP{P1Bg@}Dn{fo2*wZK67(Qg4bjg`ke$20pi$QgkGV#CHUoNH0`HLr z%k(Z$BnSl0P9zkB1f+^SFSBF(kT8)e2qPE){!jDGzh1%ok2x8JbGoDA!>9}sA{2No z*U+pqF<4;U%ZdWOE!&(_0`^y1AsW?@MK_FSUf}&3fkR^$5)9?r(krl-TtmW~;vvnx zmL@Q1G(*C?0$Q3tr_vS@=KZ*qAPAA!O&gZh&~R%}NO}U;v>{=M(=eY_JppXmfS^~2 zM#sm905)w%Acf?A5%iljASk4$hyvs&g94KA_JP-xeQX#8(|LQ z0X4>eTsOv;G*E4$aZDijjWHGte0N6USS;}I8eweOq8xD9ti|z>$Hth;0cYqE=18YMgSjX)h zfJuX(x+Kqdf+J}7>}DE-C5WBT>8WB2Z)oxbntj!Bce6imcUU5D9Rakn*WrD4`^}}`ZhxVz-5Uo_%T>F> z9^xtx9{6XpW0bVpNr+@C%}1MLz|phwj-WGv;e2c?R-ME>MTQX^tGAL_TPf^utq^`$ z?KtRtzE3Em0OGh=g#WYQ$nx4^*Xv6g?99`0~~zz?W1S>SH5?Y~m^q(e?Pt zxzP+s0z^pUwQwm@M0Pff$QliEu_pB#NknuZg4<@rbK0pdBycH(N>v?=R0SX9(TP?{ zE05t!-Sw;^OnjfQQ@juOG?s<6el1=QL4_ah;H5uTG}cEWl1tNWQayIS2JO2e790`k z5@u;jfF@WtUyL}D-d;d`sPvdQYmJ8*;4N=8(m)-E zB5p3M_n>F~@tc1F=o)w3>3f8bB%NnT$4(t}W4~TH%r)%DmFB;E<}y_ft$KAn=+SsK zd-mh>wz_EV=*PGUY3B72MVsdys@%wHuP14w^tLdpm<{gxmCZ#>Gj?;x0v} zd8qA{rYJQhwptmgH1(=b6y`w@W`mpCmSW~^;WJ{nm9(qWEDPe8!(Zo#sOFvROL--2%R>2L z?NWQ)&5~P{a-{>^NC(N#g}>nm_2(=B)I1Vc*QGBqr|u}nw!OcP1Z4@-h$Gg7p5z}| zZyYs@BY6|coh)`2q$l+Z7J#eK(YZM~vDCTGC{Xdq4V*DzV5J1MMtEk z)ep~D&Z9Pn{5TUOdk&%GudPQ$3O(oRMFY{g!8QHSIF;tcFR0r5-#C?$?&i4@%BFOh=Am5*6agE~G8y*U}H2H6WmwVAFr@{l?L+ zJO0IADbt?>5CW}m%OFj)r$aB~iVRLGQJC@#Q4YT48%p5Z*yR}tGJSkCaZ+*-v-v2F z5yN9XV;lL5Sj^Ada^+zAC8#2p2cENNf|aTwy^N|eHzyWn#nA-BiO62$qRB{AxUB;9 zKW{~zc)F|A9@OyVmlQE~5XBMzwh!3BvfQscI2rDoq7Kn&U##P{`xgXx0xg zdOC6NE$yHoN+$k^P?Qq)Qln9_Uf4-VkSnxxJ;h*?o-%k&#X(JwwDJ~UPISU@^yOOE5oZ9ik_DdTgOcOqv zimb-3TSl^zpA?_C%MRAV-LkHffoo;cVj;dD&d471H2S-sZy!9_tUjWS{bJF$aICDM z_bFUbvwbNGpa)w)urp{MKvkPJ0v*rwoqao6^4sp1r<}15l7o8pk{#PsfZ81dp(T70 zVbp$yj3ur_f~GwP&ySI5m-%r;GTS zk)mRy;79y`{&LZI|7eVssQIQ??+OEQ&?5lI#GYR11SBO5|5|ItDXPIVTfO`m24glwEEAwwj6)j(f(%Fz49_BICwL zvPGl;WZnpNN5Lis_ZRv~$5>OqA?!i_nqf#TeS3{DxQLUe{K)q8ko>Y1)fC!O)E5gvk{+F!x1 zMs#L6(rdi&Fr|lyX=MDUt2c_#xe4T0d?XL3aoSsQ81jFo6I7YMD5rv25v!YWyU>W& z$?bibj0DTkF~HPyJlOFrQm3#-YDOMVVz72(!#tql;{~6L?K~8z`iyH=Q$hn9oJa9_ z5_R|Y9ph=~TFhoOJA=O-NW@`JAy7^1TG(Rne9nFi49`~aFF@>Fsbsj5{GNuL^m_uj z*d0%n_Ekw$g|SRLh$SJw@>E#*zOC54YHNHNh0K#iFJq88dc`>NZ}ow*^%sJZuht?a zVTb~{C?8*vx_8TBIA%N*sKS$H7&LzmDXn&t(Zt0NdeQAzQ-a0DV8Y&N)=F|%GsB@Q z-whRGe-*i$bJa z$(n=`A#x_yBABqXK2j$A5#p5}XK1)r$El{PfXS*NzDq#^@MGmHb!M&Ou5(v$S-{Xh$(1)wusR04o7KphJS zgJ*O5tM6F7>_hlC7~XieGuHd2BUXZUzrm$<0l2tPWGTsOKF{_~hDdF?x1uEjU&`5~Xj0@*%JKs^QP@y5{Hq!xRzL z1wIY;yQ!j@yqK8 zre48D@sAWctQ#S(K2Gmyg;j(s43khmrSH8JfVUF{4QBR=aktMCL9gro^aapsWxrmP z;iWB#`Vk{6Bptynq8d9EmRpeVqHzwcY-woXGL(=PdEf~oWDfh={>>x&Gh)P#=E)z1 zXb+0S#FaZD-{(X;fq@FZq9TSsSoEX1UzlsCNgUJ*|B)5HB;shI+JHK{agr7aXn#LK zbs_~&ani3c@hX~v%3Z5lp|M3fW!#T6vEl&sPP0X1nSf9mGb9Kw*!oAjl}S}hy7m(! zEz9`&W>v9la+=N1GvVE2Pe~V+$<*?H_}~?|snurukjvwi&ex$OgvbPN-(fzTk%a5a z1ZK(6#zKBuCERd9?i=bm&yWf3L!g|RL06a& z^g#P-B;u){D{ZzJ4VXOYHm{9$?9%J?%8Bz@z8pXhq%`dw9|*4MY<>4-d;C2F=I|wx zyNZ^UJYL?;btkhsi0#Xte!>&97bU_&I+}~N2&`py=NQ@!b1GX&sbLqzA!94 z3V9=?@*lljYohV2j7DplynvBK`wH_tqYkD6Jt#qS^mo8jNvg)|#Pf*%i1Laq0^$2( zK8*JkN?yX2*7z$oo`aWXwj2qZa z$LYZjXC{B<;(k@G$2P5Udpr@o_=v4210bES9-WfeKWpHvlGQ}gX|qM-(VnkTUh-3T zt74(a(|A3XRzfM&H1Y*+`cXzVBg*uaByY1Xuw5V+Jf;g4u1Sn91QP1>8nOq(#_YzY zK;6ZkI*?>9D&-R?VKnF3?ITj8>^k*TPY}s2J7;E-EawoAIIasli5H4Mg%CI!uJjpb zAse3QRM^?2{H3~P3%TwHJ|gby#OcJ@N_D%(0JHo2hD|P$CkYO~K&Z74UYbaQs*Ceb zLK_fw9NEiF#qieax9anO^F|ddJK`~~{}UnhoE3N$(jGSE4BZbUIIXqourF^YN!2F< z7^#cna0X?5>QLmVhN8sOs!G|1=VB9(K;8c8U(=aA(6-0S-S2JY*x>ToEvA2hSE&=T+54Gok$fkks~)kR@!I{1-G@@tTaU9)f?m1ZfEBnA)d zqz@%162>0%o}!FCcc2MP8@sQzeiz84kb@uwkF}ty@Nc4A{SvXX6D4<#Of3^GDvPpjGG#%Gnio_73-%`=70WMr7Y`DBW0Xr3A^FgqZ$1spI2Z@Ess~(+n2qK zS)^P51`j~9VLUwj#IdOV7-XTkqvh9!+uSbbZ z9rqD1x4*y#3ZEvPwl zb-e6`Vyc(gQJUF^FTPWaJs)J1-xWc60W!~TRU?{@*62P@yONmBU>s6Klg*Zxq^C~o zHY+&($rbiaUJD1T{YQPJ;@v?jRoFY#3uuH#uVo;Ynq_HOvC)k$3q+RFy{q}=>Fc*U zjWOP+d%C|517s1Es~O8TScvg)M~l2!BpFsFh1Sc`y%XLNpMb$y-pUsFK}|AD5oQ`~ z}9DIj!ECIIXlw+-mJEHIX3WaXC?X5U~sP3#rZEN^-iwo)~y>tdBFwJ`mz5fGmj?= zSXoC{o}$Up;E(-aB4V$+RJa{*1&(xTqHcskckx=!xrrNsgIja6%xK^V(#Ey;k?sH> z3^wM8b!3zh1&_j~?3k=YM(<{o@19O2IX+HF8&3p_gFniH)wPG$);xSGgi9}MKbsN% zp76@;fUIGqmpg7Q1}QbaPCvqGSy5NQ75}plGyyNP5px2*GVDoMmC%OBHA9Wmt_EF& zDo0L(C??f-tvhjZ+95I17cxs}`x2MAo>2pkYZoDJb*pQvp}X6Sjk`7O#-ye*yCvOQ zochW0T~fQV*6(|_{S)WrUcGfq_MAdO)q^{8H!0-@1LyO*-fJc&(_rB~ezm2oBR<8Z zUEod65g#$|#$-vji~p<=1Jpj=N8_^QOcHj7y(d7x!Yu)O_|dLQVCW_5glAv+eTC}a zq#`1}RUSL#c50DLFm0+Zo}wYRY<%D~wS0rDS4$8@x9^)7m#dWiO|l4FeU!;;oJA)SK;QDntyFYl3iLR1O1_Q<1cI*CUW9^r}W}WM)abaFSa0 zK3?W=7iK6sAEB-4eqoV}oQM>}3*djJ)^j zw^!vr1Rh*VrOiG~R2lVo0OoeHLni@KP%^(SMeYH)iU8888{{l+uHSO?k$)3}Aa z^4;(Dr-R%Ve`9BqQB!w&0Q%6ye(J$-e1EFnzJFcr;S3z}I0xN^sO|MF=#!ROQCOg= z9eeNN>xJbz=Sg@ih_@7{nVRgGCd^XEk%Q<@p2y8UwN5Bbb6lJC0nCKbX<_J9yzOFA zMQc)f(2z2mxCeb4TmV(EsJ;-f&8P>)!D}^r1 zUyqr)jHjzYu?h!Yadfm{F1cF^{tlhE!QBh{`|G7EI73^{bKFrT4jRU&U_S)lHa&#s zi6<7xkyO9Oj8H-m%UX$O3{eivP`U$V320P&8<|0RM3GdhyyT!ra261P?BUUPQ1G3N zq&tgCS4q4$a_3GyIVkrgl&|MMX%KEOAcecoR?KFkD<%Y&Bbhl-Ze8?c?q+zx!RB9L zBJ?WU)|cyRg7T>)%F}%74=4j16QAN$%Eb3eZKyPqlAx|q(nrI-(M97#U9|=SkP00N z+b(v%)8cPO8R6|fiAyhjiq;PQEoI5S0t4nk7TmDOiwB)KcIgv+?sN;qGKU#?Aj8qY z8@0K{ixI!yND{wqOU8(?B(Co3q3K)p?F_2TwBRYoxUeLm{;EBw1nELt2G%b|&VuZx zvo}c$hdCM3 z3`@!Im;KI@41w2X`XJ?>OI15JkKMTbjYH*+Wg(Zsq(60$GBgT`!e7 z0oITDL~Sm6fTF2?fZtouT4n-byix`+ZX~5Mp2#1d#9O9*chStKunhW>s+rMi?F*n9 zP>f23MXn zKNs&#je~i|9x?GQL%g=NsPSeN8ZC%N(K&|UNh>VlHVV(!kQ5GoY9@Ki{lG2D`Yt~! zCH>2Xv-3IDF@74{r`$p4`Mrk4+ahqeJ=5!oFX8>E=-+-iG`11v2O#G*NYM{4Vn&w{ z(N=XFlyzK0HYOe!bQ1|c)KN|Q*E1(M>lE(_MiLkCTiM<31_G5AcPhFY9a*mc@DWhY z#8wLGC7ibcaRRvzKiNYBFd}TCYVMchZidpEY@B7>i^G59Lnl4omkO#8fTDHKv}c+Koo*gDxfyL$zq2$+u@^%yfabe-ccl>WB6SMy!P z#&^V|HUdpXeT|7-N}H29dk;{cii|?UrXFM7=|#c9f!u)K*csgo zfMR>ntZZ>hcg>3!NHZ=!z0VPKI$?3;oFg&8dn?7O@AN7JgDuxaFqelgj}7vjg8}#* z^`V!E`vr=D#8X#Fkk0S>2jpIZ3#^WAQR4NO)o$j~QzoWYf4~EJxw$+wm_cDEk$r>3 zcra8GEvVXqhXud{#b_8%%!jlsKs~mdUZt&27ndN@b_Jc>rYA64@Hdmyd@934ZozQ^ zxvY`VgiQzdjXhTFc$tVAoa6g;QP&(W84b}Qq>PI;Vt0f>Agd zEWO*h(LoC7#(K{uW5bv4DhkaiS37V1OuilUr>#Cu@W9jEu+w+4e>=|lZF<>BB=HgQ z*@7Yupt2S~#_ew?Y!Ca2DHlDzV=TyE3^;ie@VkoA&$^Z_xAghw*QBll5=te9K&O~d5;h@!1esX7$&%9(p@TiXN zQ@?0_NN6O}z%VqLc&Z^0WP(FOFjpCQ3Kkc#Gp7*Zj4R9=H_49fvkw6|P1$W5Oc`$@ zLPF5BqwkqgWhvA^vg>>0B_c&jDj*~I)C}en73O_5_}=;)@`K#sAh3o49!AkWsqV?~ z)n zW+)*MvLKi(NdxTp@Cd`4jlRLe8zuKf&7cezzPp1bV=EbDA`2tRh`TOV`Ft9604xmIUKI)cx?kuhSL^3q ze7fi9b%T-i*4-Ss&hiaFk50p(r`JO4yS;QZA@|2qK;kLWL=Hxjb6K#?sw>s_dSp!s z`$XIS5`s$`pZe6sB+nJ;o8V7H7du`gkPT8D#&8Z0mmc#v`&1*{f=KbH79gN|R{};r zmzy#@@g*0%PN-phCa3oVq=&+lZK+`Y4n*ZuuG`7%#jEbfqKOs??YfUGftCx|I%pL1 z-N{Bp44jd`1NbUXB$+Haz@j)R#_83;8Fg5`-cfqUcRe_63Sk=_kC}Y#eYC`ToQq3% zxoaXg2ZHu$n7?BlJ8ERCatNCN-d!h+5)i-wTD01wZdY~0nYOXS$Tr~pD<2h9S?`i1 zxQK-j#KY2Ewja~v&P>qdt3Px2v)=G*M>Vq2{m4HlWj+*JiTY{|(7bWfGy!`?w)&hzI|De-xq^&~tN8Pz~4 z68XGoyqm*Um}&DK`g=n_l)%O~*lbmXbRi*4c6N(&Hb9@WR!c_yMMtfSK7Vy>l`wXH zB5u^EzK8`Idaa$Ucn;D!731pMEA?{ifks&6?vF_$*Z%OjWKt^DQ7$E?BS=-)thAtq z9*bwauglTz0n?sLa^YyXy}JLt!TpcIimURQ0gKtHSfO!*V*G%u05^(BV4fd zVWVeU#kbyyBWV3MDAR|0>s~^0XYFyfnWV#jNodDPXY*b%&+z-=9VyS;`fpo{Y6%lT zr-)0V!q=~v?b7$c9a9{DZ%u}JRY?dGtrBybS)ef5pto&py$!1F~agRt=m@~ z-O}qTL9wNO(xq~*Jl%weC<8~2mt0VZx3!j;)yjDcAA;hC2 zuLObgrNGVOt9IxZrtNGRU4Ig^|4{Qg^y;Y9bqGqeT#4;?W)kH03(WuFs^1kp&_Ln( z&C*WgaAsAL1t)~Y;613#<*H6{C=mV2-t~{cW4yg93w*G(_n1-sDVB}ZDpKQ7kMY#h zf!kD769fuz-fW29Jw6@lgZ4lti+kOh_GkRoke%i0&j_WKpxpak7tfk(D|EoFD|;91 zM#olFEHi0`<-54lWrUpg;YbZrN{|zWIB3x{a|Gucg144l-o-5T;df#>pJ#Wo4(o9h z10}S|Ob%U_=1AOwsuJo$Y}K;u&LCgn;VQD67suvi`v_vXG(yZ7NT-c5GzklH@8^b{ zg(2PW_(`GGh3MX3Pfb9I>}q zYKEE4U-W1EPvX>5MYQCx{CW&MswjI7F56?RyY{Lse311@cJe-*@1G4P2#leyU)NbE zV{MoVSI27Hd{-H+GS3f!@X0;HaW0qhaL(#4`x>k}27RZNh@3rs;@n4pp8X83TJ#iq zp*H#Sq*PD#cgLC(A0}uzpb){MCsJ$QHht8{i_bJhyV*~>-A&3w@>6b-!={&;li{!5 z?oN>*rw1TpkL({rt>72J7<~iBn-}9{GH>$Im5xRg4LeE#W*;&fl*i&N4Raz}=8&T{? ztIVf(L+?c?zg&uTfcHy?8D)b@vC|i)@o3u3`|0}lVX#vnqmgtjt!MFzYWHY`2p&}u z#IOWEeP-WmiZbkQA1;4Sc>b$o9saxPnNuu(#{3-QX4-?62=cngGPU6ba}7q=NZ01Hy^D(Zk^wdQ7FWb?loY5NdD4@_=Skc)-=fC(>Xn>#t>D$i43xjx( zG(A1OYZdfwzHe1ujK#$!W94yu(L2K$iJjt!fMfur8s4_>5q2nB#E5VV6(Slv-3Iu| zBEh;=(uq{Njaitm#a2F8eMjchcG5EU`#0N_R!5ICfPDSDBJ+m^BhGQp4zW@Y=f&o` zvL$nAbR?}3cTt5=>l1;@j&KxXrWo(ZV=hB!$ZIbWDl|17CFrGf?&c3$_|kvFV<#w) ztfSnkS8x7NG>g!;%cJ@fwyFUuNRZyK%`TCt^=6Dd5%X4bCPMum5j`rj^@zW+D{Wmo zTSn%~>Wk_HVL%d3aq6)Cg`J8-9@iLEJi3k>D+%JR#JQ}Vpwp&&CeT`tPhktka z5%raZsJ5Dt9hqv41N}asFlE(zQO2mm`;ewQBtuztnH-wP=9%UN^f0!OP;B-rbkmzio?a2M{1W)Q?E&QqHZqSe8yI zmH911BZ5}n2mLyIz2P~(m(Sw*1IuuqXEW(?F`l)vf{Cw8i??hR*HnMf_L1dc9aYG) zO)ZKROw%SL3f97_){bczpBb0m`GY}KO=>%>G+}!`jp!TwK7E5v3@P!2kk_p?tBmmG?-V`4f&DM z`ukd*z-_|hdY#wl_iw)3g*6p{*|5}b7itCmQBgCbU}YeZ)3u6_>h?a5Emiw1)@@-Pq3|SImny-7j8tK zCHNrfdP9GhYhKo$4(3#cOa8?g5k=p-3optQNIjh|utdf3qkx9*#T3>Ge+z4*)&WO= zCa|6p0u+3J)UEN+BAbfzN)HW~H3VrJ+ylnhz3NUk3Vfrjfn^51dV;QC&DcqCD(;>4 zZ%)%=WQskL`kzhW{$0u=C~0qKcTSIHe%bYVoQCg48Wvo_T+;6cTzOgNJaQ9#-Xkh! zxJ_SxywpSGjp;`MDH@@0%g>n?XHOV$nS&A@z0&Z}rj_QyEZBXd;^X->x?Ek`pGk!B zrVXfQqAIKkeUxXTYZGHK6MKT|5nFQHt0AJ!!j0M&_yvF z5vE)Bihf3^c`%VpbCh!FwEf578T1b^!(svR2%Hm)+V1T>q_Gc`UGobx}n7wouJ~3E>H3Dh07&%+w zFYi0q+5cojJ>9}qirItJ=$5;<*pCVF&Z>}A$GY>^YNB^o3qQ?Qw~gK2Um~->$7&HJ zzfX5Pzykmj(?PFOsrZTI!5f2v-y32s8Q-AK0y`8DDtm}WN-bbkd29= z6t3iB+YjR6u52L-sBiU;tYwj2BT8Jx&%bJu<@j2v$)ax;5ztmJNBJMYsg4U`87s{$ zh8|#ylh31+n-@pMl8ueTOiMp*(wX({@F28nFaYBdosbm#HdWUCnW^3E)?-?7^{buT zE2*MJgvu*3q|(~?a=S`-N0QlaFV@Aa1g{txbI z=VUJPHy|9enN9-D6THlSNH_ke&ch6a#I97+NO^{b+^_1v5&{6QB8+x9M10or$m3hi z3c3{|`bviV?~w)CW)<;)d^L+M@8L+;|H#89V5zJvMN#8_5{r(B}C3G)doAUkK`^qr?V`BqU zR&^Vf6s<9f(Z9}II|lr3&F>oXp?h751DC$kFgRLu@h+ZBKzHMhA-5;+eoPEI_FJ#5 zyO8gpwZA9lYVwxnD$G~*D9psc-$0FE5<%`6bIid^v|84{4T1FBCZF8LZ*|_}QVqjd zEUqwgolT2{@xODrq;mS=W?tH^Pn-(Z=dB#Hd3A6z#;OfH`Cnac3@4G*GTe#>}pQ2+;2Bq;jt|Kp zJkO*&2g{yd!=d#7XyMthe6@o?*h%EYghuRm=l)%mgq5s2W`Abzi=u7>EyYGZF_Jpk zT;;3KrrgH#Z&-%s&f@rW&n2GGAhJX4d3T8OWY|panBGa zm!fX&H!QWW1842ml9R<3>5T<_<1LCTFFk)D2DI-O`0R!ETS{^Co)OyTw{vmESq6uF z8MAfqP-9-UUA>vsO7UQ%23(t@tvyCMT=Mws#Khh>aiv2Ax3mYFEj6GTHlb+Jwaf7) zBY(eSMK;aN;E&{eA=yi*8IWr7h|jhg^K2e-MTmcK2i2!v z1$lR)1-gffKmMFm{~$BKAg6airA}Hdz%j9wgDZyWzYshY7u41$TUOYpy_TUnZd%GQ zA^ZG1yJ*rFfy(BJ{tJ9Tu^z*fQh(cWO;mEhGKddnXjyVM8$_Ses6e^{WpF}{b)`xH_ni)eZ6l?e zKmP!tw!7#oyVu$dp5r;~-$)sU?yP$DtyirbX?9$H=pZ+}wyNJER9mXsDe>Cl>2FUs zyj*j-V~|=}8gp~)+dOMJv@dNHgNEsOGs!L96eov8U>JMf$@jN2X`bwwT@6=%YMX6H z(&Bb~dY$^tYS-OZ&uA$gcX8(EG~f2>#OuuJM|)4c7SgWVv`N=q$X>g7y>TEi+8L6n zy$83hwbqz1!xt^a)uIAYDh%f{Jg1=>--dEkfneW}C8}7hZKLm_5`>c@)HNbvfZY$b zBr7a&RhGV3)yhE0a<%uLh?XQAxT_L_A?{D-(`{ClIBmy-a9BBO$d)N35U@nS8LD=E z^2EWOMx$Nn`4YPZ&CK`U6PwH6M|KDITq(OYq1!L{xY&Qs_n?%HIb4=;O#rFybzU6w z(cVFYybl?B+b!@l=H0ner*TTHtMP0r^hC&eRdlLW$We0G=kGHt^t4`4f-AUMi%LZy zxIc%ftM6<4Q-!?y3%_c(dNd;Wq9?JgnE*9~ac=dbtajeiD;F1U!b!Q!< ze?Q;rM=J!{u@=AJIk{Nccl=srW?~iVl1iMU6_0ZidizrZi7wF1?j`nx9AC0l26TOZ ze#1+xz%Xg9IiofyJ}?8a|LG}gq46199tIBzrI>>-9++_kY>i3(*$~-QN4m>Ly&|~F zHy{b0Z0x!Hs5-;vEMeF$0aRPTf2Wacxtu2)@^w6U zNAb06jXN-*fH%TEs`cojwZsLF(fX`Fs(A=`w?j=55qPX88*R%dE9j7vsP!OeL z_y@YW@3Ge*!4L6*^l}*Lkkc&FDIO_;Z*elK328d!B8dQ* zJBg?`sUCczQTGCa+RxXQa8uYXL*QT$M%U)e%i`;Zw=`w?7+6WI!a2UXJmhFJh-TGV zE|+A>huiKpH_6e<&y9UFm$x(YPM!wRuJwSwI}TFoR!TGfRsb>q6n>xSW$lHz#zx_k z7Q8y=h71E_A{kD!pNk)!)u&%hSaxf)SH)io8h$bEt9lZBmT4~y? z!wh~0Kd8WL(2zSo%3*J&lxiI*VvhPYi|3&_6*1~skY%3GpJ)zp?(TMEs%$+wxZX$e zSBkBe#1-QB3kP#Q6!cadyQ-KjlnXLgSLF~P_+pvZ9n>m`E27xy0A=d5-JoV)HsvYj zE{#`TYAkJ;oR2Qm-Uj?Y^-rzoopx?Or;{K0GgJX&NyBuQ=CK zP*cLURo2hK0mA1CxS1Y4L z+;!wfXS(%=!mp6KYMEsf>&>ODKXhk3U-J?(KHZnnT>exc(am1-SgrCBv-SIMBE7nR z5*nXY!Sgv3|N3NzolgKPI@XXf-eH?jetL!5ZIBY)&7(t0vy!x`zlLkq5%Y-{o9sh! z?A$!sn+qmtDV5X*A30o{VlMR1TAK6l!IJH7mW;Oa&{ccBV3-IoY1vwc_!yZmL^HNG z7De<~C?Qu-fk~@zS%4|SJS;iH9P42x4>(OY)oPx%+RA zIJ67zI#HemYNZ_tLQqww4rpuIM$=WcGK`ojA2w+L1)!PD+lxE(%pl*hjs4s&?C9$jFxa!BOYxcuQ>> z&9k=LXX{JOU4}odP1rL+Ft+DNICg#cO^bLQoeOyyVgUN#Z?++SE3VOMh4>P zRYlQ0Q7q*XAsyg)mb?KfeD53SXFoh|#XXWs6cnQCeTluv7;OQX%$46TgJ145z#o1&KW?GmU>W)_%O=1-is z=|%Y3{Vi9ioJpjIw*LTapYAGrPZrCHY?ag!{%XRtN7L z23S$>T@meF&cmztLW>4%0ac%1j)C&^?Idb~({X+Il&F2ptj>ixB;>&DGyiL|8A>Vr z!Eao+^G=%G8VEBsv7()&_>kZSXCj)52`*u@*{`P`d!6AAf`^j~hm8LE zKBJ{BtwybNFvsBOyFYhD$aMM_pR^A-$q%BB;u1HabLkE!*oL?ihw5k!lyUQr%}$x6 zzu95Z9@xw0B_jr3gJklO5oE5DF*Xab4zzZDES*4HuSYXokv5rvt~WQ=T4rNAi%)l- zstCV(CG1_WlY)7naap`8Z4kw={IzS3)cef3$+LsVOL)V3Ao2L(_@m>QYkw_ZIUy~A z&r@Fv9&LNJfiov>rk7q?9;i&7+FoBqcwY|L&#jg-r3%#~-p$5uM^=w6sB5zC5z?B~X$(;tKvHv_uS&PY!ijZU(5bsvo8ojtFm>WP46>3D8R zPpZ}Zj(5h%N0PD*WMgWtQq$@$jt{xUUOA%HBA=n2bCwKb%%?KeU@T=kv*@&HWO?ss zT?%;*i2=i^{Q8H=(pD>>r|V-nO~;xM1MWpzOvNJ+;l*$J?${C>gzG$+Q_J%rbPp(G z(NS~Gu&00RL7$P7Wz}0XsInYPHgBQX|=uvMyd1U?OoXGL1I|4fc;8d{XAYn*c&x9?poYgz6Z*$cDIG%6IOSt zs_I>l@(YjlG2tu6#`Z<)(kuwk z#ROlHlaAp`|(ii59Si@5UQSx^YNqjYfWK3r@NjUmu2_c(Kyw$72&<9!`g|` zRvPkgXEWCW3x6S=Cs+1YdysO!ldkQbW_2%npt+q#`dtgA9&A6#>VyU9xh-<|G)R_Ts&lK595GIbMca~{XHT8_KA;-jqkrZ zxmn5B|Mmy?j+>2){eN8&v$nLhQ?~hF@X#lFC8;-L5A6Xb1pM!?0@x+k=(Sj+#l+rx zus1R!yYGq4zvB;JpZ?9bDD1caE7&ku#EqQH42)n8WswJtG+_CAFagj(?*Gqo31Acc z-?;=S@y;sB6S#o`4Ll7B(Jz8ye_NO;A-qLvcpJq`&xZ0s=4T|_D{gTW8*#;`oG0wG z^B*(CqDo%{e}Y#m1rp%m!?rfqgz?gbMfh{|u6un+bEIcp7HJIwGbVeUqqT66*M7*& zvg#-wpM6uuURZ1U92R1t_Za@!J{+PY+`LVB`5WAGNrW#59^;{wU$D+!Hq<^RySSns z5)S zixE2C5xc(tevf_sqS5~HG|f^NA7*1{lpg-ewI}B_?2Xh0eh$(BBJI}8rT8B5+;Ftf z)6A>(%7&Iq2GO+azD!H5aPx1wboc+TsP_(F^`N))_i8d@Qs#cfr`A>u2#diASr{0Q zTMKFHWqr;QMzP2?{smuyXu%H7c;H$C+ZBRe_KJU;myeef!USog9ro6_PKrKrihu9# zy^AkSdfsxX=Jf>)t|Z5(a^f-&Vuk~!vjwkEcN5sB#{w5z*68@$)0U*xp2Q;;o(ii#8X}R?`B{ zNgv-jlHg)oQ#O8PiIouV$&n?Kjjz<|#QKc<YR6AAhgqZ$r<9uYy5_A`>L9^1Sxb|kzw*-Pw?mFak~zD0U8 zd5;{^F*yCWZSWj?4CXm`A2a*(=pjwRE3rOL{YbZu+AH$H|5N7+9Hl@9GOP?5!p&t$|L$7u=&k+U2C1zfuI%+O{^+i(G>F%$L%o%D@x8U z%@Pbt%B^wmg{e?TGJ2HQ`rys?lgAJ5d zS6e{-GehgUc}*J{8#NoOYW#Z4*%y1E=xs;)JqJeTk{;+@PlUtM$Z4@cQGWQpeMA3& z>09(~NnTJj$VHSA^W?L9t4+qo>Hu|V0dWB^5mh6V;#*@%ZaN=IatQejP0Fj8R}Ew_ zU6O|Ab^;o*vu~`Z)5zy&niSLN)#;IF_pwzOhG`w>wG~}*KC5x69II#-CKjuIa}l?F zdytR$zUysJQLCb6wo0ah%0|GS3ifvsl6)$BVy@+OA&1B-QrL`bpBKdz6oYB6XiaDh zRQ$h#jg)JK9fu`1H8y$C#5i)0e=C_~S6G|+RnXxC2dBtX$fU}Ib=%_55q~2bL|orE zX21M!>3GTij_DovUE?P82=@rX_u`S&JlDK~5t-r15y|1%e2!ty;i2KGeCPbRArZ4g zGk=R^^X)<2f&+)=knkR&-Q;M#z_sa7f37}G3QjfC-65ji$)kTp4~M${eE;)0^F$@- z$IiEu?+s#C{-;^b-*w1IrI(AXW%U~bpti(B_2(HLv*kE&Io>!@)t=P))pEGCyD7ST za@%n`J4U%=yrH}yzHGQue)Reg`6J{HjZUTzKLc{b!x$zwF1=&?O zp0oDzSaCI4yy3Rx(J=m_XV-^q(9JH#F#~a%c*b4M17a&+BV-TkBko0Bt?LV9`i(1( z`zGX32%#+IP|TMWOQUejKTLj1Pnqf%(=_na+q59%n^l*l5bG4H|ErR#4QlF2!_zv2 zF|_Nh8B1-q5NXjmN^TPJL8Oso7b==Tt60)vf?UE4W*hEh^8o=2plA_j*;*G-q*08R zD#Jt+8Y2RtLR5?avVsu`t5_qSsRRLmmOTj~A<`ec|MJXv&UxSWoICSAXL6sPb}95< z#o~8G>@x9fW#vcx+J9^uz0V!ycI(P4Nk#=4kLtA@{A82zpWd-`^|kH4Wo40{ z)|M;emWsBgZh4J3euCip7&Djs}KSvBox;aLMS$jA6maz-l-@Q7cGUMB6`t*CRMZMOU`8e~;-}F}s z_9%i+op>YoZt#-5hP|QntQCo2F*ioPt+u^o@vtQC-`kwoJXkVz_3LYg_ba^f7ccS9 zEY5fb#&7*|OI_xrn45bKzoGG|@oDn0h8zvqcrsPBOocyrOtn)l*Z)T!#xIZMG)Cu| z4&blL^!y%G&#{MU&xy62y2Ov`*Ovr5nDFTdP01s!ZTq~qc6@wkgKx3#hNUez57?aoMRW@!~$eNi+-9KtKzF?Z}c>n+H#o?dN#R|}kB>f7ZaX-<{mR?h zJ(TJRbz5oeW{>cW^S#hjI`8pYvQx!v!!LJoPG^4idEZ)8TM4|s}g>h@lhplEwo!l6!5kjjBF`7S@A5r ze@EW3+|ULF{i5iHjsxItwgDG~L#NM%d$Z-fp6qh=noZrz`!Zkskr}LC35a| ziO3jvJMuwWe@CbG{f{_ABjnxTb-qU8&fjn|zc8?H;PR(1XR9{v9Q!;wYB|@;Lq4sl z>Ql%zJq!DW6P{Ks7(9Kyy*i~@Gw}4DDN_9zCu$7U#8?ffbrW~oRA1#PjwqOuUi42G zqZx*YOS+A!GnKv9(jTPv?m4hXVaPWa{EGaL^2D-Jvf-Gk^-bOK4AW1IqB2aaE%bUl z`@?LnjAP@2&#nb$r~Ug}ex)LQoR{EUr8P0g!{AHy!dL)N&NB6kB=9xFOc>1_C7N4YuKsQ;vANw9J-ACB5F3k3`iUO*N$+)T@4E$N|26v(6v!J|u4LH11Sl|ZYBb8~ zw-X0jZ%iG0(7&}E>k7NLqUL7x^CyuL@ljoK2He6V5+MPK z7sE-Q$A$Sad#lSAiutkxfe4WkAgNFk2cQI)FUC*;6e~vT0|67}^MRWe4vG_kr6fWL z0V1N9G!79EAh9DzKF}c|5$uHTlA-aiSe77yWl{o!#bYS)C0Gr1%q+2Y?mVYP-61?? z8}XS6ICKdVA&ZqdY{~2(5ImdV1P~ICDvr9$jERC11tB1eSQr?N%{BiH1@i~yq&UwR zhKQ07sgMujpxIgzW~7PJ0(0hRxEJPWFQpRjTMH(ThygURb3}6j@An7{62+O|EZ<%n zj9D@EVg(wN=}eeaJa%`vg$Yy=$(b;xfEFf@iKO|2IRm%_2z+=ZY3HqVc6fUwBnJT` z?MztUZJ0~iK>$fR5gaPf<@IqPfTW!X&K`UVh2%)ui69pv0vwQ|6dWkVi-$m`(fnxy z0pTTP*QfS}fWE}Ybg<>~Ff!e)(p@o{T`jweW6(h%T(AIeJmzC062-2@=Zymx(-k8# zsZ6kS^Tv^x3>r9LE?9s+*fAH32{L^J3vlI9NF;yPd;u2V8Vj&F^mnZlzyg5UpSLcB zM4`CW0ALK)_<&;~#Wgp8F~HfLolh!;g(5@@To(yYgfJBWdr5#cq5=%uqByQHwqcl* c00N!4^N>hkvDC5a6cUv}!}4R}d&($m zYp82)YV}z}*WQr)jR-dj6Ehbx3ll5zTNY+kHtMI0QdS24fA1-p+FJm%&ItqcsI z9k;UwCe8AxbIMY)T-j@`2$D` z*m^UGVW`>Ayy^9D##8aI&5^GAux)j}tUj9XuoLufqN7ur@Nh2-w06A0{~+r=^>EqQ z==Z?QbhuR$v3GHB{zH2}TL-d{dvpGVhyCT!-cmEOmx3QviyCoyj*h?| zy@=FdXLqlq4K_a!eC=6y=dgDQH*po((j3pL1q2h>U_S=0C!9w-*slDF&|Zc z>U;HRO$~5m*Y|tV1&{lHK1~iF)1q6n(fW;+y1%xU2oyb8kaQa(@0Roy646 z%l@$Lj^_~OgX_ZehUkw#N=`nW2^Y2WJYg~JX3M*A$~j60&t+Hs`wNHm}A=`;| zxWMRMHnLIU6@GeiExUJ!8^nEkx0cYXLiigsvRmgNXk}`{{ff-%xbk!1pxjvFjzXhWp#tY^q&s+Q}*0v1uAz+McckM@E5+mws@j}6QdT0d!# z!MOS{63$VBs$P)JGO_`$L#`y?pG(q@2p4O<*j8<@u)sd(H>M<}miBApU7238tdXN6sW{@8{f+7j$(YW`5aj0~@@bj{qCgdM z`4({5Ida4J6=^efbSzbZ33)qE~acVqn ziTJ6M>+y9v)yl+WtnuFcnc4N{)COerDxBUqPK{~tFFx?+fs%4nI0n#vVCPH| z9C_(&)P7LW*{JKQb`%DI`Y@Kj2WW@5%L2R+qKBMh@h|xI7pl9Q$M&#H1PvvkWTdER z2X02*<&mSbX&(jXY3G!v*V5OnIK zfVQL^gksP{`xzEkYf>~t3|oqId z$dcF}`IP2a?UD%jt0(*6+cI4k3tIEsE;8TkJH*jCx5y?C`uco&a&h!7N~={gJ}2rRHQrOilvCobnjL+v7b68VQ%P>r36Vu!5rK+Rl^W(G4>zW#Ud)yWLolabmR8@vt>}RXJ zxrvG*4+Q3&m(`y%kOQ#);Tl7^)-1iH(YUXcr^%xO!Jb2gZU=B^TP)MKc4;K&`AQeX zw>4@R!sNACBus*@w)z8HW8r;(5p|L%FS*!hvf|o}C_ekU22kMeSTJ8ja|i&)c~6yV zq9jTUK}d|ZjaOu2k?HlHsp zQHC!C`HUXkycaqm&aVBb!}JT z=G`+km2+qR|M1r6yfTNaUqpnicI<4)n(zcFuM`3M@DOZ%8}=I;H<3Y;HBB-mGyf-8 z&651gda3m4q2I`};N$@C)IY!&z5YiCzkqg;A~i=900^$q;##G3nAKd@JO;$R4CdizT zw3TP9rFe!~s}6BuvQ(>#6k z!(?&*Ax^jqDXhEoS7(|rM7i`K7(d*Z#9q~z^s2SMzX~xWT45ECXv65ko|H*hqufh% zU<7n1$Ww@y?*wsqosnP250VuezfmJLAH}%zl9px*ZPxbFC``#OD^b%{K{xgPqn?bH zKM6!O@MQCUaF{CdF6 zQ}021`I8%+aJkQ30TMeFo5U%N)oK^`Xj$nyVUNE_^5(~!7rtosrl740b`FcLpJ28$ zp0|PCxyO9_qoQ=7_4izyk_ZoHC}Zp1=E;)&(@=UkNra9!7xA_iuFiQDB0N=qtbZBg zEr+VMsO2!E_PVw5vLNo_FK#XjAnV|4@;D2ih< zaT9x)iyo_)4*)j&Y-ny5I-$v&@N`2Yzpc0@s=}uJFNp{our5YXsh@FN&1PkIXxTD93c9lv~?;9K6?8d z5!24gAhnVv!6BE3el8j3#8ZO37yvwzq?GKJMd&`^923}Be8GV310els8@Q?{0W)Ay z=QSblb@>>Cfp&-{v|)=;EV13>GOh?h zPvfEcLRi4$zy|<`#(rb(mRR0so>PdXAMQ)@i&h0_~ZMEQR9wEmA9hRy{F%xrd#|JtJNxf zzO7h`aT|WW{Id57otedP$eAL8>ALnB;nYT=d+&XD*B0ZVkR3@&ow^HrekEW#<;CLG z>>g0lIjo^%;gabbr|i;_E+d?{1d-pg0d`o*`9aI8TI*7cYYJ@`d195F<=?FDg5LAZ zoG}BV^D`g$KLFIJVeB_#h2qIIze(_C%PUWkHiu)&Lopdoq5lT9nq;RH?@g9?gSJU! zfO1mE^QQ)H52;kmncj->Qz=N&J5#572R=GMzPGu>bXYuZvvVo$b8($E%_w*#7do*4 zYx#f8#F3fXIX>gB8J&aut&4JGh|(A8x{1c%POY=E&&jaIwuLre=Lp!az}_&7&0qOp z8vo(ut@tbZhhoaO4723ntgAAOb1T~4Op9eidyZH99ItzvCvL?^ZPI?~GR4Q~mD4=a z?poXHm?@Xcw&rb-n&oSvCklwPBA(M;x{zLD{SY4=7!YBa-g-4$E_1HE-Rh%NF&@j67S+-#C{&N&9q+E~Ssg(cFsbJY4E4xwRT)eyBM2uq&vQ_gc=fyxt3KoVDXGgGntlaS&zj zQHdH+A=bt=1N?d&8>_tSCb()HX6;|M`b3_jLfk)Rs?Ms)#P^<#?LK9!aUP}pxI=qE zM63J*?hOAsQID2h1*#g7eQml6*n)pd4RTP;aaG9k%f0)vkN6Kb`<4#nlBxi~eA)}< zOt6Qx;Cxv*nyZ-8#9Rj?APZWcR_9b|d(so27@8NTwoidpLb=|zyr?13iI}goDoIi8 zEfeadn%cS-I{tni5LusY4X6QTvRc_vCAYKft+GRO8214%YnQg(<<>`5 zUQb)tFAr~)TPJyUR#$e?%#Xmfqpi9}=MduWVk^68c1K{l(YKf9S1~26`@A!&D;sGV znc1gqSB_}+`a>_$ zgjln#JrUJq=djmTt}m=)rb?TM#wRSkP#S!19V-MEB?&RJUv<5o3wL{e_u|~-XY%h( zY>!?oM8XBP2873I!V3K{X4lss_0W6*P~#dy6<8_`Pj8=|A0cMAUS%p$F0%GwK0SVx zj*-|Tw4@qwJ}Y2$EbvwX;i=Zew6Di5h6M3!v+x}JAlp6>)ZG*jhc=cQ~mDNk_Cm`%7u zxk!A}=OKZf-X>quGuYRm-AwWnqEFn52_TbQnUpcvFKQdJkz?Ngywq8J{sX^mixAH> zX&9+i8!B%+XivrzD|4E_79nd&*X)K3vBND+xZdG^=TPF--!+9)f&R!<2tM*n^`yRd zvhZMhiKLqRB(Ojx6{QwySU(|WiG<1joYTc1{yuz+#U#Hv{LYmI>XR*l13^Cg_VOS-fZC<|Z5TVw1FT%aBg& zG~BNityOV1yd~j)-wl-t=!niL8Pn5hE4p8(!KK>_VoSLJ9`bUGJwLXR0Y}ZVC5vd~ z_eZ!$1K|H&fI>N}DTwOzYR0o(St{{Kz<4el-Pju zOAe!ubh-SzS|hC*bqo4Ch0mtiud}bHdTNEHDd8w{k@t(+$-q36c`?NWS9)B7#6&f1x>5AbK<00^sF#fjpC1J5kvrtVIINvMnJm3KY;%1uDMXC8;Dy zkE4dH{fCy2^cS<@UY95})};wSWNjGgC(kKEx#u_2YbjqEh=KTh@E$d8Ie3$bv-Yx0 zNzcW79V+!3wcodGs);Y(;F#>o7V<#(989t#@%X9Iq~3A)V>xs~4$C1hzzqFSg#fJ1 zE?*mO(JxKv3n-LLUgW&j-kqu&n0kF#YT6eg&P7|R$U{hJz+oY5up$kTc#>ZK=FubF zXLgaS8QY5s65TAjJWHJV@W{yY>sKOZ%Tyi(vl@dU3;)AaSM$QK#nwcGdyV3z=m#9d z1E&S2R3>qX+{6LCOks(ITUIG3OzM;9wVt;d46aGk?GwdPl)FmuMLWI{VF4@&U*3qh zUYg_aN{w@c%()*{)0EJS$|O233azLp#ba z5K__-UoKj8V@oxfWfO?aVJ?GxYh#Kf>!LAm|ESjSI;qkLN{e9tv>0GmQSFmg?H#S` zs}uNCAgru8ILWe~x=g8~iZd&fd<93a8i=J{{{X3@g99tO`R|ohGH`qj4F4e@lXT}s zr23M_XKd9&&}8SvzZwg=Xo^iTA`$_)Z}z~b<4#R7U9+3d@d1km7nqJbWIFYCq2eZ` zJlW05s=n^Gi9m6YPvh%yIEDne)HLZ>FM84W9{0jEs;piTB>VjM!x1$Th6fa^d5M*E zfA&oUg@Ks)^9w9`TrR``JU5llmN4lz|5GSyQ_6Q=9Ggy#8o?$FyyS#(QM^f_$DIN% z;`}C(!0cDGq*VdM1q!Wf6o!y^x;S_>I9dvGknE!rzjFapM4lD;*~eLRHyXx#*20jZ>}v9iPoi zhtJ9__v!PD7*JPGUJQVjuOK>p5AaL3gK{p&)V}M@7?d@I&dRy{8D9|Gr zc^*fKTvO73BMWZDZzt2$07Ynbo=pFq3X)W;^epWPMK-i;eiIcRplN3S?5JXdWmkcI z@77W!xqeTIG&cL(Oe;oo4D2FeB;4k&)oCizV(FFTsG*#uult%WKmq~n@y?g6Ht^Fi zFJscZlwsTO=!rj$l`5=Ald|mMkJD(_K+#?4$G)I#1gO$(mk(RevE$1dfmsgUdcyG< zMfNlQIu8yctuT!gXs!hLdKpB5){}!s+>}1usI}Lef7) zmdt4m#hZ8v`HodjN@!p~x5(;`3Vnz_*-o=TC(mDNFzSrT;{6IeM~|TAvw82S_h%Cd zf1kb8BaNL!ZCZx}uu+dy-s;QM?0e!c7?!*;+#e=~QUZTLnn}tbLHv$Rt~n=qY~S?Z z3ABcP9s|)-p1g(G9K%hZX5|IJPW2Ng`R0RKDFf9|Qq}5J>A~?@6~CrCF_`eAJhOD3 z7Jl)XFc(msI(u%BnV#`ad;Z<?oW5(TbzE20x0Va8Igy`eXWwUbAym9)3x|SQU$>0NfH9Om1yjYOUiv1ZylLf z>6FV$FZc(aa!$Pz1PfjEsoSM|Tk#7Dd6Z9!97%Qiqgmg)|5O|4b9>BSkdG+~Q1T^C zAgejtxa57MCCW-GKoTtg88%l@8P0qxNQ7ta?RFBe-9b|)<=I)iD5-55Oy<-*>C#8NQvtP|0<1bd0a4eaa_OL zv=vw83&c`A5q!aODdO7Z{+Fm7S}wB)an#i22{pOicA+#ht8Ku5na_BiB*b1IY|b?< zfA{^|H0R=<4KK4J6`*;_1RpAnD4+_K#k48`fa8YjVSsR z7jTNwtCwS-Rw{2d4Rhk-Tz}^DOZ{UkcgU2BK18(|NzAH8^sWg^S{cwL7B)DL)>Xd* zG@bHPDQ=ZXVV|Qc9^VHK8M2)JV@jrAsaB^15BM03uH5DzOFk+PS{jOSlR{P1?BZ71 z_bXUF-T!GuA>N4e9nW|4a_7U*+3iF4^IA&b!bC^;d0XgErNfqf6=Qj|fF%z&M~_;g zwZJvq!8tUnaiX<(H9u!mZ^5RuW}Pbc;Qa7iOT%Vq(CLx_6zP;vL+N_p^s%4E9q4TA*^W_uVBJf2q zB)&BG`tzu(6`6LUV)v$^%9)xb1OC@ATGH+*U}u>Nk`$aUM+kLU8VS~e;C z74C&4hw}qxGBi47=`OR5)9H$UEi#K|N?{j*P#>AO_@R}kL&1F1{i=FiEf{XC zPi`6-KVa;C!0>qPAY>f)9>e^^zV;pX9Wgt=Z=204u#LJ;RXvIdd|IzsYQnH+F{M9X z6n^0L?B8F_);rzK-utQhOL%L8zfwIlu%!&6OerX{F_)6Ro_p<(Y|A6T?Mr5)QEN1r zdzt>PGPCAe?cT91a}ZX-%3kHmwOiiL?7g*B4kH+he1v`+8cH{-M5KN*V5a7<)Fo$+ ze2s{T!7Yb=zUz4NqXj(X$InS^f|(goOV84=WxYD=UrW-vRROg8H0PC+G{bf4R)ex% zdRJSz&9xnu4KJPc_bIgYyM0*V6Xd+^>x`S2;wQUSSqN5Q#QA?QqKm!ya;@FATGrd; zWJ(e@+wLb#g>h8fy5Zba-aYqf1GjlrXY$I7cyPD8!6WnA5q;r~-+j?Y!&5g`+cbz1 z&-UGx_F{eO0yB6Q*GnbU^8GyjwfE4k^QpV;6$PEKF7L=7>=uxc+u6PaXivj3mEK|* z>;g;-F{Efkq4zFn6s#Q6QoE%I!KYQ3aw?4yTtRi?@|fBB;_x-Z>OC4`qcCV#XCg5y zEqRsr{2Imd-c?C{tk!8Q=h;KVl?34_K1*V2esSLpslE@=vna7k$l(>+Ktz za~n$+vdd6MSnS5hrXYsSR(*U-Q+^ljw2;%Z(LtA;8&pyzdzWDBySv+~!F%^_Y`c3( zLLqAtu#+4Q(xX+AQ~idQkj%Hk&eIZKCC?2d&Qxk_yDQozQ)mu+th#S&ZadSc$_d@s z=TUWLaE!P=jp*|5p8RU(^0Vhhlh{xARWl<~v*U*zOI7Db-Q0L0 zQ9tfjy&ofaUJ$pPjqVTNhKqYG-zaM)U3EA8)jqEs~VOawRxk&kY;? zOAv`q?XEF(^~*;RHjj*|#sWW$xNn~20n5V=>W0<7O13Gph8gFdbT90dkU&Zb)wd6+ z-PU)Eqld^#^?%|Jcu`!?=Qr-FehotVXKmD6CwK!t_VOp#F#9DuGTv4m~KOu=UG;_moiH3V&h#s z7ImS4_iAIrONkQvA0#9)99RfXDR6o8ZoF{8S`;qmEAeM4W9&J00FK z($6>-?FveqBx#RlcPD^^YgH%st{G^svHvj>&IlKr0yYXN;kpv_1Yd@`LL3=o9uIX; zp?hvhehJz~NBbYcJ81v8w_L_)3}VrK+VPo~f@C>f zlnweHKI;;G(0-+$AfUOiF%_m_(K|I>*Dd8P@pQ2-enxm@+p*=6UA2s$d?u)6RV=@1 z!9**C5(kp4~mR^X8bAg`KlI>eCs_8RBxk>F;+grV$k6-%cU5e#io>n|1{Eyzq`= ziLDHsS9^EES78->@Q8h{+-bKNudBQ{_jr84dlZN~?+jI77HV=yX9Zcq9SH8V-j0gh zh%;Mm_9BgW+DO7$y6sUH#XRC}9$dY{vZS-JF5zKmJ}3Dmv?68b)K5Jud}J>sUseIqqm$?X*-Q# zAJ#l(R>X7yAkJyvi?%wwdpw+>L0BHb7s1Xvd4)oIe3aCil6~jh&-#5n0+-#T<+n>Iif3`jh#ds(%xmg67ryu2 z2t^H#mGDle_pchxxyqk{(UMuI91$C>cm3f%iFz63b~WNO5S_^2gO)fSwUM(^n!bz8 zlvn?S%RRxItG%@ilp!2eTgGFq6IfFwCHs``EZBsX?@1=by0B<}=)6)3v-<61RMfeZ zYqnK>41w<-vaH;e7 zg)NHB2eFUJ3}AO(kmj4*aRSG%US?*MIb%+>U2|B&li1oKd~{gvw}Ie=N9*M+NbiN+ z2WHFdzG_^JPN<{ZAlVoE8E@AoV}V=O+?CQyuRG*u`vm} z-q28(3K*64TGYXD3~0F-!aFz?BR*duuuO_zcs^=13aPt_#+j`O?=a9VC?3|aT#X!~TkAr)?-_Af7 zFRCwIKy}$XSdl<-qE2)G$qwUf?QUo^vk;_6o;SZ(EyECbfhxJch6mB2>NDT%v5^4AQc*s3NYj71yI{WJcqn$8j7 zU3&}fQAuL!MQQ66N-<*k7d(5-q`c5+eRK`B>DQ2pwlrIE`Ra&3wBvw5-O3RYk4YB2 zt;QdAK1K?fl_e=d`(t<|ducUwmu{^H-SMLuZeoLbrr+v8_a(EQtyDi9v_-1fy6mFp zJ&#O9_TJ*{0;J$0VcN~661kAc9Y1bMvHyfnL3bMuaFBu@{h5oA_Y&viA1d!lKAbfd zMi_=m{pE`Qa0S=ar(p|QeC)@R?51!N*=v4>Cdh}ITdeSld#-&XoD<{%P80~9h6GPB zmDaa?YfV1x2&ENj`-=zxBmuPCGGc?tYx_%v_Jp}MpK4PSI*eCS)ffzPU5Mk@=8 zU)uf=ikfh4O-wOw0p2cIXo4Vr)tOi_-YEG*Q0NdO{j_mvbb0-@UGaS}o#K1JrY zN*POpb0!j`z+V;M$N>uZG0sh~sX=rwB7>Lo+Jnz3qw+6jEAcds_@0z4``i!wem2qL z#_hL~QMG4x-fBsh)2z%BgG)&Gv|wW@`6Rr}rO zFL2*KXy799_fTI*$I?TAwODi?(JYd&(5(Ykb{F=PJ6yYraz!WK2Nr5rVpF*~IzMxN z$3NR?y%ACKE%noskO#(R=Wf;}lGCeH^P)UPSKk&>k=xX>fV@kNnu6AJelIlPk9o=<>+ zjs_KfNPE_is`;Vm*PAwULTVsP&73BvFV!g>O5l}5s2`=4N z2oLCcb^~K3GwwQi%}v4`C*kE}nEnymQU-Ue{F%RZ`>4dggO=Y?APxK5H)y4v(}|0n zQ+KV&ZKrg|#^LDB)#0g2OX=0Ss$!*gqxxsgX*=4{v1jyaZd;HpYR31e~PRVmIq#-2+ov_|*H#%&jrwmy>zIJWXFv9#`Vz^*XIq4qD2w-W%Kb;1CroHAE;NdOe1+^6M@P+~( zp**~1z=s(RuQ;!VGndeG^n7_z^mp+s7I_2yBJnL6`SqPF`G(-w%Z9uuMtT48n;?Ul z*{7=<@#NKndn(v>fpGqgr$J81l`FDde>u$D0kgq81Y7)Wa-jh z+V2N-?heX6)L)*cJRAk_-`#KVuYtX;Ci(C7`0rL)T?wiV$~+(Pb?#;oR_>P=)smt> zFtFeod@6VRkz#38R2spIg4K$L@DqQqQ%wQiOQed<*hQ)|KEjV>E>ArRdC;|i@cUET zTK4i>T7etfgQMnyVpUNVrQ)hi-8!|?2!kJO(kXA~8OXme&W>t2MsDH{KEtk>$n$^3 zvTJYG;O`!#wv#72=2l~spY!5bQ2anVbK}8GY_qY*@VzO zQSCL4SMjb3KSolCT%T<@Ijfma8vHJ5YQ1oCvGy~Yt$xe0MY+VnrJad(&V3qeKgjIZ z{_QE5#~|0Gb87)4XvOxKCpiA}>KD&vvJUXdZiK#t4*o;Z`W~1Q$*OyCPjtoR86WBS z^;>Z5ZNx%9&gI4a2AH$Aw!GTiJwye)Wv}E?IIPL`Xc!||RR^bhdZ6gDCU7E95!tgZ zilFiKU@9r}XAd5d+st9(>wexV-0ZeB3Jz*o##N9L)1 z{uNT}&RClyMZVNp{%VMn?2|l-jTUb|7c{IDDWV{7(MDZ9tl9VDKp3iXtc0q{6j`Mm z?)8N=3WI`rUN(XYjX*{0g;qeUB8$KgRx%Jpo@Y5}wwtCOXTfg?MV+`2CV)C1 zY^Mj-IkGNYGVU4k>l3WV_5-90ESg{g1RE`}exKmy<+Dt$D^rV*8wSH_%2hDMyleqW zo?wppT644|b`iNl&LcYKGV*_6lpyrB zCbMC5Z?wd|x-w6@P)e?7;x>|nl<>wXv+BWvDtk0w%^t_a3eQ3U)AI`7CjAtfSN*P^^7&)d7ul2Q9M zzbvjb$uVnT9p`NJNsm$Wb31mMx_L^`1WTmKO<-G`I%Hww3?D(wz|sXQbb{hD(V%$M zRpYyH+c^ySOx1ZWe*eeS(&~)@{d7>t-a4{;9kX=2#(uNBQT6%DU&BjYB84}ePiEX; zFrX2YZRB`}`+TVl?Ych6?i1i4NrbTxtH{p+aNQsI72hPGvQlK9 zK4TEiS77)l*PHt$?GU6)ZQMOe!GL(o6KLdw@mK5@QFy9zYdr?%7f?MHo^)&9mj$nV z1i?R9ad@UC%WEWAopOI8J!b<3_eDQym}q(ES;3({@4Si_hVV15Dtz4rcZ`$p4R8={ zmjeidq^Gi`_EvFIhFoP|Rqp^U?X z2FwOq&i4~V5UJrL5FI~Y6=DHzkJylW*~FfHi@thNWZMs$0sFkc@^-lwp3o3!6Xrv` zU+1foFt``75^*fng+Q>baD>9UN_bnC7YgWY<9&bOW%9gGN6js{D?F6wH(i{7I1K^$ zB~puSHXT5tTYUODyL|Fyp_$Xe04W6kn9j$Se*wncd0`REJb0m{+EZN1;nj1@3kPpP zQA$hAg}H3b(q8kDXVv!N=cjj?T&E3HK!sj_h)KHHmH!`d`ZJQ2cT$FpC zI{UsDp_P8b7EkMd;<%(zR-Q4XSPlKJjDJFJVa7I=ln%tuv|o#;)(&Sy2d{A8vcxg0 zH>Tl$#*I&q(C$HR5PDlnzUyH2KiR~_++@FqchIckGP5Pg_8W z;k&gp@V~c99Ol2!t3LDHA6}hnM2y}iXAqQQ^3#^@CgzPOC{3Arnvbsqik)PQW3>mn zvHR4QW^M{Nmx(=0My6(^(BF5lB2pAGel}DehuWIBN@h!{-E`|dUko#(ixnM}JQRf5 zP)fYw`F6YY`IzspxXvMz}%i8SVZT2;RUMCqf8h$B10Q?YDvc7MZ6M2FEIfFqGFQ-VAbZ4u6AyFz~L-7x?=6m-%PK zw~2;sSW$=R+0-v(&x?dWT|ijy&J$OufylOdh8UiUSTxvw?<4?9YUBOIn@In*{tY_| zipYYT!jTeexJlSWPSyBDzg%|7h%U;PWBSldB?ZN27l!HepSD8a1%h0}yy-VMme{vp zL#^hMeV7UW0+tMU?WF__JxW2hR~={p!$0CzV=vZIAgb)~s1qB>o7C!IO)RkfECmYxbHgZg3M@ExszAgh9xhnmRx*SYfi zAKmr~ErFi0!&rUu;*>kmx#v)oWTR~zZyQaML0DUXa>=dw?NYp@btPOgC0FFxl3t?c3zaCMvQBA3YvzhlbMck4L~C%wbaEw6g0~$kdbu z&!>J=#{6SkbbPkpyh|Y(Km($d#^ES-8UHHNkElHRjp)oO@Y;0ciYh{j z$)~kl8)FKN@Mucus?WF<42WMN0QMKuVuHdYpM*V{1cp$LV&hXi_L{ma3}sqF2XA=# zVdF`?7OZe?O5xIG zG-ek#(gK)F8k)``yoGH!p^GEo(kYGt14QVtJ#ZRM>JF z--xa!k|kxd58BBdwn?*W!-dl9+e-d<`x6_9>2Tpr73~xJYZe*V?9joI!nnUSQ`06N^O_DvyWr zL)x)k-_N5xA*kXGPJ{)np$oa;nR5vKWgQEar#!WT`^}joG7hyatXN!&II{mq?E%*^ z>U_hM%`lyM^Ke!2ojhAX#>HE&t2oTW_XW&(^#MB1mv)}-#r*jFYpm}4qPRI=4f6U8 zUf>GrGro;_85#;c``F?FY$}ziT>S+~Lwev9+JVQT8EY}XjFPuW<;`L;sqI4kU59O= znq~3&$vQlei7+%czCh}HX3jR9bAIG~?`F&Pp*N*?x&9{`lCPUAn;^s4@r^nA*VTmR z9?dLK;gA@f7-8}l*uDVISjzEDmY?NUrD}Z+u_&R#uy;fAVW@0?3Hwm_n{C~C(Xj}5 zEs|mSgV+Lgk89Y<8#PCn9M|zKotz_G`rdan$CFiXxZ>iOh>Q}_yfm^P&)5{#_>AkL z6aONsZaCjaTa|{UxXXrlrP9yu@3Uu>7(RnMOC8R`aNZQ(>=My;<8uO#1EeIcqwNefxRC1@7LhJKlhw@;M1QN#pko= zRQ+kzv+HceWB($TwApu+@zSJva1f^Mm}kUR%vm%&ZFn@o`9`AW)=7;(biHWj z3kiWUN|l!#L9Z24XFAVhU4lnTqBi1rjk*9Nka4|L7V`T>9b1ENx#m?%=j{*B;Am|Q z3DKU?;r9cVweN}QMZH+HJ3|HANW05FIkx;xAbCVOD#2i)D&hDkJS-#)3!mn|;^xG- zUqm>iJ&$GvS^cT`9HgPd@zvy2+=A;}{epVJqVmIPGpQ5-#N_yT$Y}nKFm~tO;F?n2 z@8Du!s~wU-ZXi~pTB;PLVvjO6%whE%EXBjFZ*lY(pR)2$JN;ZkX1TEh64_W{Ic{mW zh%>uh>pHk4k);f)OD3}sc!ex{aeGo4&zQbr!#6%k)~T5Vc+G?HOFY_0gGr7^tt?J?Ha zY^kG{wheyJ)7~Gv6oWMF)iuqws<6Iw=^#@9-7MkXbS_pm&)$$-pei`&d~LqbnGf@* z7;?G$Akm@%%dU1}$8`>huOmFMoUh1l1RO2M!y8k#;XF$|*(@JZO5>01$RFr|N!SROWQtIi2 z@Q39lft^UHj{Dp@$mBBm@8ml8`~&>iB7PixvgzkFt@oX+w}(Iwz{4%Z!(QvdV1Db} zPl>8dgZs-HfG2vun5gEz^WH6I6N*NlM>IzvolWQ;m_t;ojpnqEbC({NrQ^vo{7(hY~eFZ~% zat%fxr3lc1p|ic#Q^pTKmJRZE?|>8;%;e0_r^o|eS;(28DMlW1b}+towii{fhh`Un z786wf%0V-J0Odp#fP#OLdjQ{A$(jEo<^aC4ku$&jSLQ7_GyA{qEN?l0)Exi&#YxWm zH@gS$thZd`%v}H7V`m~~`P(1h9y>ER%m2D0Y-M3(t6;6G|EEuO@}ffIf7%0*d;BlY z2=o$k^csv}!ootjc7_Jzk3G@)m$?M`>)(tELNkSYh7OZa#L&@H-w^sxMrj}$3FF_K zB0vY(fyw#*rWAor_aBWn(ZyW5>)*H-v+A8K99=;X8UQO-vG;^PWXi@GhbUgmpoCzh$pt)|yg~-?G*53H zT`~rHO#gt1y7fcokW@wSewL|&Lud@ulBzfm!|7uX8lPs5&(Id=R61WJsL>`&E80 z!D~&0z%O5)hpml{O6`Po4>6&0e4$)tp8ZCkM!aSVV>EiJhT~#MP)Wfv%gM#bWJzz? z@@C3Q>oz$C;ux>(?{!EZLU!4Cq2l=s4W>NLux9Q$$kG%SMr#jNw(%}#_!A>cXl087 zx`z$v4|i?(u5~(N+V6{tni8<-=G2V8z}M;MUcx%=qw+0F;4NL})32N{_RPZC9G{I` z^F+G(M%Jybo^7WGU6LW)JCNdG-M(rGW{iC=GMFbxE*W2=(f2$U;hRw4|5M48heNsc z;UXO4l#nE1l&!)n1~W>?8cEiXkTGVM)0ojL5siHd&DW+y_I){y3XLTqYiVqQvZVDy zgk){Bd@oui_5Ja^|IK|p_w)Rg_r0#){l0VE1`DZ)3!?R(v-&D7pXpx^>$vR1m#whX zAV_YF>Mk*`aG>Yzj!A|{lNtX9c3kJRtI3P)VV@c3@`ImSHY)}*v1Z2ba&eosw}~H} z`4HeWCIiZH=aV!TOS8?BEr=RT$B!HxQKfCIT(jPYm1g5D&Xo)h+5r{LsdK&| zMieMKSqnK_+98_%cJ=6W? z{S}496bjFYXYmmX`p?N_$ydahpU-VMx=GN)1a|n~C6Nd6l94YmE~h)DYiAbN2pvw& z+t=;Tt@;;eR?N!ucm}((ZDb8iO;?^>sD3#O+abG{Szy-sSJB#ZKw|#wX0D z^2Ocmo1ZCauyM||&!pMEiRvnaJM@{N>`_LiN+@yf1^zYLq}CYo!sxk8tm>kwmnzmi zqQDwwSJ6%HHXS`Oid=7`nIq6)OUN!Idxw|ql#Go{wkWkou{itSgyha`=`x-CBX4Hl zTnv}a-Q%F{VC_&ds@$X9v%8?U=XKtxyr~|G?*1Or?xB3mZbmn!o0adE|CD1uxJrmP z{_3x{oyfu|+6EtHtL#M51yuC#U~hyL8?gg{_MYI#b|m$7^}gpk=ql*a&78Hr{?B-N zazVAxV#Hk528U)Vv$PVU;jA`n6sZ2<`L;aI8CVWYi~fnOR5@E2Ua1+-6krn&8899& zKO@Xl`=t138@HNkC#Wl^ASfVMB*Y04bV0n zl2*;}{n{sVj^Ml8DeO(y2XHIRCq4mve`=TLSi%ZnGVo~jwub_*tJu-%9h(nr-XA9z zCv#AobMaa|5yy1yQV&-bQLj=b{=o?W;TT_VnWqQc^jViI#D#nWvhj7pAukpRE|Jpty{=W|RJ8 z8MCTMwtlXD%)szPeo=;KirK~Hh}?Xyf?>mUFSlN|?Zq349}&IgEarBS8wT2|8Uj0_ zUr79GH%@(uZrAB!0pG{khscpncLtXRpZlWyMP{w@+QE?5A^8T)wF#jN!>lv`!yZG? zFm{+pot}cPxqHjpxvJ^)!y?0ekzpMn9pmZq_u}g>M>6D@!lEL@!ogcG5;hwtTG6FIsGbJ*vXC7q&DfWjFR#DI zmEx)mR`~9%+n0`f&fWgfaao2O7xpk()ozV}wGD(@N7cilpr>s&jJrX9U;+nts@{DAAw zQIK62fF3K>aMr77BC|uwBFYHIgH=m4)F7uTH1Mw0=N&r}Gj7fXjUA1Xj5TT0(Jm+E z4aD@TK1P-kCUOd_Sv_s?vyN75Nrs(cin@t80DgAIy2uL@XrdvaZPSMJqrdka@X6_5G?3BaYmnVHTCtK6r#G#bCWk>8g%hOq`bqLVUXEIttd?H>#)m&b=;t z4|edTiazekOwgSXg%6mkLBHc{H1FGH%WUu^9e0ojCZ?o$0nHiOnuDfOVw3B3C)Vho0Gfs zuLg~L*fKLUksEKF8pJ;zF}?W9;J-BVew)%)4D?J$fK?rV1UTp|jjca^p$Q~I5|!`` z06~licsvep&0Dg?I|@c(x{6iP_T3#JQ3#)hR_H^PXO}4U@2r07~(;}EiD9?7%Ubr;sZfE3BXZQ0u>C= zAdzXFI6N3aSq>5l=nx_i!-IR%NnRKV-G_*w)4&k27ny`R4xENr-kG{Ixx4ZV>dV68 z+aSJDfn{9+v7>v?mK_C`KtS*u!uS9o0a9hTE-P!CF}`?XAPf%-;1&2|_+M5q|Hqzy zTi{ZySN1f=5l`Z11S|#w`BrQ2iZtOl;D_%a=&SGHcc}zeB^rXE8b~b|Z$v)?-v1&1 zu7$h=UitR*#`q@2zMi0kK=Bg3DV`-`$lntXP$)0qhXVRN0j2@{nefBA@izo4W+iFf z*7BM&{u0tM0Z5vc@SCUMN7Bm#AZZ@LvPxX__^cuTN%InT?K6KD(sI%~1b+$+4+7*U z90U~O>jl=<($drdt?CK4#&Dh#0mDBV?<4jkzIY7CIi zKVwiRd`XS}v<|>ft1&nfq4g`K0|kox6BiEEL9LD%4n?9?#|MX^G=JrykU+P8-VX-V zTpcqU21Nq*-Kupkpqjs6$kjCfveo=0J{TPNOKvbtO`d+xC>R0}M*$2|!4Nw_01oIS s7;=DwCj)O$mS1JqlF2kMu*u3h4=N2qp)GeE@K8lUK}t#{)~2BU0zOfwO#lD@ literal 0 HcmV?d00001 diff --git a/simulations/figures_sim/figure_block_rf_OOB_MSE.pdf b/simulations/figures_sim/figure_block_rf_OOB_MSE.pdf new file mode 100644 index 0000000000000000000000000000000000000000..cf0320c45d0457d652f11976c9c2535acb28967e GIT binary patch literal 14119 zcmb7rby!qw^FNA!pn$Z5u+k{CbcZxZcjuD3EW*+P64D?kN_U7zw}6P0NSCkzf=Eht z|IUIw&+|U-`~Bm`b$NMq&OPUzd(O-~^O-X@gPOD~8$Yw#4Ihu#R(P!b8&KmdAY#cyev2z%5bay^PZL+0t#?x zfaILboowwaT|la?2q#wrz^3L5w{o?FIHT@zv-7co0ovtUa1@CJM@$R{;%J4Eg6l77 zKpa}0P7n}>lsUp23bz4qsF~Y9TtM8w01eRJ4E+DafEtGy?F?~5{2tCB1$RUMKV3iq zm+TxG5Er#{~;drD@85_S~P>Ax`FjarC`GJ9sR@@Zp8X;j>PgNEE&HE!C6j|GCZFDAETFf(C zsQOmkAV)<7r*eFjlFNP81l+8JehlkV`|hYwpKoo>z|YTq`r!}5k~eJ}M=vzT3@2!s z&ya0?BB!f;{m7b`6}OAUQrqfZoh4OF*1qRcG`?q}ZH*h#3FqI-{~DEPV#B2w(L@P zK{Mi0&(?EzZFwtj?8uN@90U{Bn}kg-Ptg_Cw;>tHHcnuMQnw$3DW$=Oshs1EuzH?2 zKu*!D&Rdsp(APz#6rHiG!sU>?U7=V@#4pY>Je9W4(&h#ikjbIrC`RV4+Y(u@_@lTM?t5N5 zRN0Pf5g!Suoe`@-g58&cE|#4pPsP8O zes3B1&JrAyTi#_I@zM12@f^iBy4qbdQbU(m4)$>O7NOoXSupJ(Vxu?S)MH= z!RI@-9lmH+dgPWz14!W!cwnhBV3AF14r3Ryb(oAJzE1#99tyGj>ZH z8HzY)gCr@iHF-!Gxu?~%PbX&l5b`O^TYX1lczk<&*;h&YVsE@!-1g#V>Xz=?o}L{I zhm%&5UrjHx$9|4wi86KsuP?zI)4nz-X}~+_=hDs)&DEm0O)Zrn)Y!Ev;tV+sBLfcS z76sZ&rv*?Vjck9Dj^p)SU8cp1#<1X>{;9{a4*hz0kj2F|6V4k$+!H1@h@_pVg=H@cC+%XSu|Dc{B8MzOeR|A)Vt}$FEvSXMq__`Wz3Zhq)IBk985#P zZs^whPVDiGm`TqFGe8M}k^sZU62?UbCEeziNZ+8V|F!=zjbm?& z@fyoo4RPy@*i@{*bxGAAL*>2$#8=YgJ%k=@E(lP`b=+MQy;6^bo)JgG{$!u0qCbYP zY;^E9Iqi8_sbu557F(trPx$7~VrN3wS!$z9<24;S!3d^|ida~|rbCUg;1hNJAI-Ga z=udhO(bD~$ClcJqFWQ-|E5z8JmswofHXuTB*;2Myjcc_{!7w#J!Z;!_SMK$P75=Qz zMt7-H?H^Tc^I=TJ;{A-8-_&ZzrKQ8{)HGc38oPyzCC-6;4vT0YKOiZRBu#3|Cs2)L zUda_m7L%ZG=PcBuXD%p^xkr~{CM@^Snz%!>9Lm?jjLdYVr)SbwvHq4cA9jvc(^KnB z;q^GR%_TNU;+F-@=!U}Mm$A-ODXQ^7r)7BRO926})8tg@08xZ@wEjUEE>4RqGLDD^ z5K(FS2Af-G&(m;ezv~5D16mu=I52H2zV}(F=^A9j&_#Jfp53h}$B}idNz6pL`+~6= zfFkHsyXKq?dsqmY4EgS%_xcuhN~~%{2hHy$G~|BUXCV}A>65Bm9DmZ{FC-J-JeTd* z;iHfq(>~21-WR($?V0%+c1UEKhPvmaXsqFQLL4?d!JgGfT^DFZiF(c_nW;!&+VYuR zqCJyz+fGWlG#mT!Z%z zz#FoY_rk|8-UJCpG8O~IW_A;0|6;D^&u^%0FrZOTp)-SZ-VO`K_~s}-iIVs|Cjme` zR&?SU+8UDjvVJZhP>Am}W`WUgP z1;njO6c|6rTC3|fH{Jvkpthqh)43lmT z=dN_v+S?2xMVTYYV;An?hX$6Y4zbxyKl@{%CvhT!JB{KI zbgH3&Hcc;7e!<#Bo((GX5%K-34t|<($}4ZIetFNhp$ol2bUSD=Keg`7v;q17gXbes zpRsk~uxwrP`S+d``soS3YE|P7W+T2I%o^Pv z)MkAWQGz&j>t1NmyPYQKbg%mMvV9Nw5c;)ZDhWZ$N_U*ShKvZ=7xbqEwnVpEU7Co1 z;L{RAF*)UlewV60@a|}UGU%*iil>hbWe)4=FQi4Vt-hRl<(Vv!L@A(*6GX9eJ{bK9q)j2U&R7@AAiD_V4UImJub0n4=GNhvn*i!PaLZV5-4p8LXSe zUM1-lxozMzu`vHW@0BIf9VM{$7s_XM`{J)16apa&Z}H)F^=|kENwzjq@J`%SMBMr^ zY_?HEE$7xuoDxG9GxU`DE@}%xxhCDU;_jnqjA`p-WxE3Guz8WZphaM5x*|KAuf|@t ze>my!Cl)5Z6VC_=-m&^1x)K&jV$F4|9N>OoTR7F{xM&4Fvp#sxBAhH@LRt>mkZs z1@a>~-)b0n_G~>dF|@+3JjYB}CVSn8f5w%tAgZ2TjfL<&(~z>|qW?+w2q@x5$(>YX zZ?*S5Ub#NB%k3aI5bZ`tNH&7Mn@O`6_g|O`o8S-f{roh_)5+pl*)pF`wL%HQ`U zOtadfVfNVoX%0lgfUZQU`K0OvLPpuZkFa3<05LQN*6ptZ#8$xJ_T|#= z6xi{4M|`o1OnB*bMHWgYubmPRB<*tFUZ>1|Mh3PhY^ZM7B>@Trb7X<9*i%t49Eh}DcXFz6* zk2w{X9x9lBx2sU3{kzw&UKbOv`6SprQ1!sQbSqoUAs3}S|y$m#d7^jjL&<59EkIKN#qvv zECY5B*-pU592FTYI6p>Gob~Wc)F78&yBn^OyJ%V9y_)e?5n4c^c9}~OK4aYhlh>HD4!jQ7D(lt6}()hx*c;VD?*guYp~3)&gp4N6RgL z-lWT+i#C~9>R9Mzt_|yFL&#i4cy99%tSQmb!nmQXt|WXGrgsW-9sYpZNk$;^(*p#A z8$+ZuNADr3w9}q%VqWHmWodNfY(iZ24Wg@2U|L{9>JCe|bn5_8vKgEtx^fjUIe8w3 z_7&=ZfX}g+K=PV|N?uuS=>U19nPXf{64<@_FHx}#QqS(XMStR&eWsuJIzQ4aStT|T zh`yIRwg=Y{i!a?wVo+&;d{N31LwXbay_I%9)2s&{S2~3>%!~LYGeNOvxz2|_N z^6K$-!-cm;e%_P&Ox1}Lhx+!lX4CtHd=N;<+4+I#+0hoOB2It9j!{!`CEd z!-ve2nfY+H=p^A|fctFZ=K!~l*+s``X~&)|Ro`877wTyP50uZ&svW0F`MP9l0%DtS z`@9@LYflQkJ^b+a2UhMdhy9kQ@Yb!NBeD=0se3JGX};!xg7kW)0aX_k(@+X!hHd$L zLeCo9(#SUf^uzd1*%m@+V!nvK@=?1dj&@{W{K(v-jGeYiWua>i-1CwSOXwoo-CHS~ zYMH8jTEWnHUShFJ8?W;QI^wupUe2IktSM__kAwbom zVIlbiFhz&v)|?sC)030W2ihx@B2d}%K&*K8DM|6(^PCAAo(wgT$FTmI1izLwvS3h8 zk5tTf^_fQd$8Y<$($0VWRJm}4`JLX|%&PG|{&ldMR6h+pi7a*}yroK($*=s$e{K#harWRH5yTWw3 z$r-9}J#XB;g|y6bq4H_Xz2`KPZ+C2k$&wzB1u`74WDPKoJREJ^dXSrignFxgbrkw_ z7pAFV1Vo!sW^}rU6$Lz%4e<%kOWSa=69NNN2y4?^rk;%L#IIFjixs3=L#TZg@IrCk#QaVfzhWDL>4q zLp6jk<_c@7QWrnv&R_F#a zMKQN?d9F)V(0z%;S^o5vsAz$DPa;xF9#ey2_th^m-n>UuEGz?R9Og~*lvEL=WI5Yk zEElv+UbxDvy3e5byBuQWOY5ft@%CvvSM1^Sp20g+6Hc z8Dm4E#$TsCQE@|%U<|Y1O@+ex0~X4Uw)pR2#s+{`I5jw~HPeb$C2m}_kI7SWciuAm zI*{i+s)S?}eZm));9Y&pd4FCk=%%qog#AMdESl)pcW~>Q$nuH%eEC{0#$?G-FNk=$hif2 zttW!=Jxm3x4M`Jw;E`l}%~d4ChL;46#m^1F~dE(oPoxOCTLS&E^^pR_+-t;4Q8 zP=%-Fi)g-_#1-@vGIuRxxT)^i_IHHk9_%5!@RLXv=yih3A}%nMxtiIi^gQrCgD<@i5wOzp&*VO zLbEq$FAprQp~P#DWP3wKoNBEcoLOj2cQi~`RsyX7&Sn@p&>*OU5n6p9ESJ(2o6OxwBz*TIguw?Q$E zs}+4i07$|ld6l=ZI$KWfG!W(Au=5UgfA^Pg_IovXH2vA1`@*;_<1ZqK918=3{Rvob zbD-0Yx7&2da+Th^IW%%&gp#`(3lkf4KEq4EGL6*{kW1`kAF@MCMY0TPShT88eQEBDt@Z4QQSfIaV=9Z*(W|XAvmB$oImu&y2@j>zPON)(r^G22^wR`8LE39QP zlnYfmxhhkR+CC5t*&n^lwjcjP_*oO8j6^d9mQ$3ED`9u!M&WGe`5Gu=go zTi(Bu0A{$R*jCDLg~UikZLP`=e!O%Gmkz_Qkyc6X&L7~t)`+{q=W+$GobJ@ zf(D%r0v%aEiQ}rwsjHQfC1a?OJVu3m(IHKc9DpI9O!-XlYWpCD7RZ04ukxeAXz+RJ z6Ul;o1u|u3bjj;V3uWmd7@Bco6sj zQz9*3RO-K(){5ahadhT0Wk{y1^3t&qu#L^+kuC$QD*$mNfN3nJq_le_fjzi9Xp>cYBt4}hMZUrAF; zxP1r8wqFyLR;nRMVDVY1nPxkOQmi*&6E(Q$yJ&d?U#XnAHEotLwJq)BQ@ew8MoJ8R zwx8Z$j{HE1JHE)}bY=h7NzYR73*@z^h)I&kg};W9YK7kr1j@eI0LuSZ(^W!8$UIGp z%&Cc(e3>dwMx64cj-#8XN}waV_4S&^>w(7)*YET_l=Sv^+Df!$h$1V zhQX>6w975WLD9WyxP0lLo2bmz)JbHY3j4&w3Wgp<1G!nHop|z*a&Z9IO#{}5v5Siu zs|Tig2L8C6(NF-aw&Q`*c+GN1g})mB{MD47vGh>5Gb<7JH=%3e8{#3Ehz{ zqB)SNM3Se33k{uW*;>pcxKdJ_Z?h$;P)1a>kKe8<@i1 z7$4>VBP&7sAqy4)SE~Ubi)PS0VpJ0LwBS(3jOvx>sQljQ} zR0GKW`IU*1ma#9t1x+@0?h%J|Ovy-C4hKJZA95Mqs-C#3k8(|xr_-9t5v>eB_Nads z+MTC>($|}fQj-y3ZRG7}-7i+-&qjH8#ldf2lg#!nj#KzP3T129sHwxa1x&!24Xhlh z$ehW1U~{-kK{diNNDB(zGON7iB*jS9@JWwDRrN39fPMJq@K*gYy6X*^N^+A7qv!l_jR!-5MY%=*;Rq<_Mwda<` zM0D3~`h%*~;$mw>q*zKr@yKFl4Gdg@RbBf6);QYEep~6eFBI7;Cf+(3+P$IFV>TB4 z!n)#ovWO~$j4e<^r6YZ{{HJN*`D8t{;jzq!sqna^QcLKu!=e{-nM~bp&FIBir7pg9 zIse#!$f$2m^)vwDXPk@pKdUCrIOp+qyUfS1!P`)M}$Y!A~5_QrG)dXL-rXM9h-X?xbRw>4V+*nm{)g!L?BoqoS# zUyYnGa@eE$xam9h^tf`dSl(KV=1s7x8MfuY#&DA<-fEBR&`bZ9C$XQx=J4ezo^Hrb zGUehuMH3L?xl48NrSV1DX1CnMg5(}~Gn?WB()P31I^$6QTj>Y`2@M5tr`TI#sd2Y6 z;0p%o>m+JtP_1)u-|I0N^Q>W$KHykAZ|E`LsDIm-v1ufdAz~fv{))A#hPUDc7xXwS z3+wrS<#5IPtK%g0qQe0-r&9;}tcWv#3eomMQoGLpN7nhjMB2dWnLd-o<7ZSukOI7Rb90q7Mx=%xC3-rWUW(Va!+(^VwW{dX zgrv_jcxM#BH!=p=A*WL>@-5*ZpHD3x(+rol=yD4{K8`1bv>?k(S(ObteOnJ28E2~O zZe^~%D6xbaN}XCN(hzlflf-D!XBhg_(Z@B7H;CzypY+I9s2nC7cH;A8lrEl5BahyD zJyD=v&BxBA(WGC~oLQBV-8KO}gm*9Mh_i>~YTqk%r#+Hta{g7d{-(aO|L9$1&RU86 z_7)(ruHmsK*VM7TLHenSRcV^jS^3#X)wHC~kZ|FlA&f_aO#J2)`gUi=)4hK9^x1gE z#b%P<*Dg`;eyZ`_Sx?l52rO(!Kt?9*ffuEPhNeYeY`{`2}1HFR{ptI?B zlhE%TCsYg5Rg2M|9;d6;CJrS#D;JO<2-VW00Wt9tb&21gi53HB3$u7>DY{0>;T{0t2rauYhZA5csNT3b^J0fqDOo z;RS*D{#p*ey3V^`BJFif`1VLcIzee(Lg1COm1Ki^SgSh?{NeT{yJ8L?b zTVBcJq9OMPbTuE)dG&V>7>a~iy&;E!l++`07l;+;QWE1oU1g|We>5(MYU6T5Et5kU z;$~+FK|Pd11?Uvx_}%XX2*~$8`@K*K|Eu3C?WMbx<^*X-e-nR`THKxRgaHRzjqCEb zP4cnq55U-W6hFkE(eg=aIZ3O>=HKLE{{AdSDz=<9{P{KY^3@yU(j!lth$&wxSe1~^ zy!YJbO_`xN@O8*&>YuXN@EL1Bi#ZL%`1n{4``PU*J>uEL_Ry#Z8#AnHw>Qzyp=jTo zDk~q69?D*Sef{azNa$;#L$am@JkZg}gJJQ=RyP$9-d8aM84avRTG4a|N*d@I?DA-)*`%#G&`4 zpQs1Fz3+<6GxLa_@o7rjf!j-yAis5TX_~{feO=$zxM*ehkm`x!5SSean(^v2 zwZ^lMUNa7~@QP+vJfA1j4NpxpKFzV(JS_h9%}D85h64-7(#CNHo}ZNI(|(QSsg0lJ z9y{>@aR{)K3BRMYSHAS8uD&^^quUD^A%`?r=dRSG1gG@Pp&SV^(mnZ)L62Wn8+H+e zV!VD7EOD5Te2Cw6o;y+hGHmjYVBn?R^}PEO628=E%nt}a*xptT2R3|eb;zL~^+pW7 zewB98A8_uYTle_9iqun?EXDwH@;od z;KWOR#>l2l%=B(J0#juw1Q-Vte@U#|C7XpCw# z9Jk%M%mNCo!STN1P3Vmw9PJZGH-~Vl5im6pQ3-wcN&CBj6O)s!6Hy)cd&22E8~BZa`K*sZPm5lAdrcROORX_OrTRJp~bI z5mhRNW(IY6YkEEwfBO5d`)f>Tv{STAp!jZCD|}}W{m0Xf92qn2&oH&9XFkw-aD#c1 zSm)sgGva}fx<`JfE|1o(meJc+rFvN&(of{KiU>`*<-V4T$D?P8;`S(-;uZ3;St{xetqj9Gv{7n%gmynBPbse4#&T4gF>PWhS&nxZm~78X6Tda zwHv}JS89)KVemA^DO;b;U<)E!P1|A1o#K+$Y~wW@`;$i7MlB58%P_u`SGq4jfCEb(;GlVNbylH=%{yv58jwUr)at zk&)#qB`ZbrI~%PU=Q-Z4m9A}a)NnU;kM<5cLC5#OPnV1D3@RwH zd9x_lZ(}lMLR*SgIu5njSKMcTe?s;*e)1j&nIrnCx#lvX+s{8yJL>+qe;WRLhQ+VS zFXn>pg7TWdwQtWBo)t-Sen|B9k<87+kQ|l759ke$X%)TiByZNWAJe#lyLfBS{dvH^ zvw^j&gO8DIFQ5C+L}TOMD#iA@YfhwoXRzg2gIRaLON>(5CfXj_4e8g?3fW#cBsoOc zDLJN{9-RrD@|GnQx*aCr!=Xf{5L5^@R3>?N5wjr36irKe2^enGhsh|$J&c05Rjs?ep$8CJ(SX8C2XG~-g zRdiFHP8WGSm#z`Jt@VLa>sETfalu$#v&t=HWX3*=C}Wc-dQ$AGCtC6Z`Pe61)!aK= zA(dY$!z*)pQj^w<_!w{qc_C605fzQ?JQMvR&pt_4m~bWkc&Qn`!^kgmAfN7>&IvcG zpV(IJVcPcDX)*CPXf+-*%rq>kF+=1nem>S7c#~J`rMp_nZXnv+0q^y%4yv|u@MErG zXXSWW&u(q38mlvyoL#=>yJ{Fg5-!uu&sPU6M21c>e-)^+ThD)^Orzw%K&Dip^iXjI zzTnt=nAoeEXzDW=R|P5ik_GM8`JyvBwu<~#dyiR{y`O^yNnO$8f@LY!9i1ec^y|Hv zxvqL`M43{Bk^#BVgfT>|x_ZUORdG)~N>|yt#Ck1%a=g*AvGmv0*I}IkZC!%{$5OM6 zUaywpKFplpaGzH`f+y5`vi$pgy~hpp3OPkp%Wb~1zRUih=svyCy}fM7Y>*PC;#}8l zvyZJkGai1!QytJ^ctLFv_4N??5Nf}a!?nFO$q?@sWzkhWHiyPAtm>Rxq7|cQ!O_Ga zhPCKbYB36rs@l%Hf*;;J8wWJQqB<@{KRqU}KZa!!WvDD3fFt}HLl4_h`Vd2OVI ziMo_2PSqFpZ2FMAN&&coZdSvztu+;ZDM8ot6|=$$mN4?<`1kB8X?Skn8G1c zAq^bD#_Qzi{7>h?PZEc9n@ZCgNuAb)x=v$fSJlVi)ADuqo4Om1mUNCw7HeG``@iYC zkonZkrw=uSpClhp`tqEW8?S&w#a2XxHqBZCg)P68Gl@ekc75M3-9IvK59*WNp+m}b zGWsxah?^XGoGOgPzby?ryCYM5<=^q8|k9ocvefk4k#~ zWa(Fj8)O`Ta|Cvd!0855+WPk|T{}lfM;E(41RM@&J8NqQaH0WqWWf-`!^;7)b98k9 z3G#6~afKrwP>3}G2h796VFd>cVYs;1fjDfO&E0?;*WA(-mFimBIa|8Itf3GO5C_5z zY6XyB=9bQIM-YdFGXymd;54_i1P)2ya9G&^Q@Pl=fH>G4;Rq{;HHgFcQbDHf+qi%;O{djIKR)N`~{VOV=R&&PIdua@INK`8{qw44E&s2|77?leEV$}f56!9 z8F+aF|H<$N@t_Xv{BH&xPR@Ta{EdMAHv^cR^FJB>K3DTU7%a`N7X8mx`_F?j|0U8T z1F-0SGW-v3_JQ}j7Y)n@yz>8~3G#6QD*QK15J0;Bq6zW#>r9A)ZK!TK~ji|gNuWMn^S<3mz$HDn-Ps&$;tfx_nM}SyFFY>ol?ft)Y;m` z%#BjT!`<1#9j>P8>SXR=X5sqpDmNP+8z;Q(zqXwIRWYK8iJ@6In*Z~H>wkMg$*$?+ zY(dEmFm*Szce0{nS2eY=aHHgg3#e26zY6^SABBH%|D;_l9Nqt?I6J_}(H(y3Mk(;0 zI=i}so0EsD8QdPv|7Gu=!2g0n(ZbQn-I|hfg30CON8Ln z3yoXN?yh(z_%193+$FY>6ot;UwyY3?vON!;n{{?+98MxH@GeRF_PjOtat#4roIg-> zEnIV7v?Jr40OFaW@F2 zhHx%KakH=Oiv5&Y>uCO9abZRA+o05q{oeTYyIml7ku0P|QXH!X;LB=6TRyp*$1P}^4nW}n=#l;0A4;>5590Co``1A7P&NIyQVG(zeP zhF(Qph2w1eC8FlgrZ#X+$$x&^uV;2&%g8Qf4AS)J_9jiLI_8;==+)URc*-ih2&y4g z-KITyO<30V%{4;Eg|PRl9-CN#@)zFRtdhm1 z3*P+as?n$Nm_o2sj^VrS5WW>(EMwa8lsAJT!Hkddp4$8c3F$^mmBxG0WtQvD6RQ2H znr;sXkE*-xw3JY^9IbR7nzCL4cvI03bdx@7W3qB%0?U~`mhQbNJ&QO7LU?(`?l?3# z@w86a*s!#))UNc5etct|Zu;@-m+th}A6#Koqyxwr0#eo-VS_#efy0LK#HEChw({PV z=O$=z7xD-S;zyGB0JVxN$=s1m7b6!F4%nBNV)a`l(+)!BQXKOA+26y{m1ouu4Zqci z1p<&Mb4-fc&ZFy|=OH3+fM)-)bz*2?c|FDyuEyv67hrQLO(~A! zT?X?9MMO@FZ#MnL>cnuB!F3ZZydS|fqIiY6el?C9F}-A9K%2E8=|A8U>c}8kJ*;4b zhYQoFM2a=Qq7Xt^q*HjzWoi+O{az|En4K zW54&=yhcCWHsjhkKVqr4E~DzxuuEHATYjS8+C>Wb+Z-ybccgCPzqW69`vh6^VJYZ5 zd#pffQa7amcvbrMrQQafL{4pUr`f7`^CIs-;}%{OufutEe~&rE~u3$H19hFMq@r-tKQm?tzFx2gy}yw+IW#(<~YwJ z9?x+eP;Vx89fw3jCc-W3UF+h38CNcvo@N-Iubt1DOoy1C)tk4gR_0ZuPwYs4$3&wz zo!Y5)cS{^ZRt;9QzEM;Ig7DUV8K)z^b+RG<#R+^C3CKoexjS-p`Rx6#*a}Gsi7xVn zuCD-5L*d{E(u-tRi1hnCpZhC&E8GZ1{OP3IZn_cNWK5##(JxgJ*s~28gw77vKJz-0 zmE6y7c+k3hMGBXYi*?#yud2gX^Q{=W;U(|tg1Qte6=K?6$84rf%RF+6q{4eh@I6RO zja*uALq_RN>x1@VOmoPH=AU{*!RVEGm>YXF z&+io56bJ5uLn!*zN!g^dX5roLNMWcoOX_&EPW*Z%H!`Pqj?V`hkkm_ZyUc`cSnx%J zA#J(ph$#u)&v(g;?FD{?eeNlVuxUfLe&fpQeEEVyIjxEgJ$0=L-Sus6b9v`u42x)d z@Ul(W@B|F=QK>q$^mch$V%T#Xy>#mb93VbirqwvtkbWqaITV@3#4_xT+GiTm6Tnrhmhf zcbf|byU-cB9;xz{uo-`U9#1H4nvHmDGrJ3Qq_TTGM2qlZ-sE-PV*y+SO=GQlJ(Al5 zZ8?nDtUw!%%<_Ecp)tmwd|(S69J*W6M}OP?i{M*3)3xGTJD-k}t*=BWFuc>dQCd`H z7bPlAt&i7bRJ+K}jXpn(3i@?m^QN95U3g#yco-ks3w%QLuum?~8jRZ0tj>l!-L50=koN;~KJ(EUydtp39h{{~W)x7eO3Sr62BJoB zRirYy4Ar+(mH|S0k<`@+SF;q=xQLuqSpb_sIpnq?6gXlGUvsG%CpROd0mvdeyUwqb z5+mMI*#A(Z_Hq5EM5`9+2H?uXNLbw8d!2SfstCG`hcH@z&JE+W$wwR`fGgCr^4!cW zUvzDhFFhu5)W^>LgsBUY)dJ;7tD2?dFS8cR)aNjQV(Z1L)&fS7x3S^>SQG=??T z;?>Izq7?fdr)Bc)!|)NR>T*`@IE0r;T7&UTA1kSo(Q-(#eX#DolaRPkxk7&dr%;SA zeXLctVKxCoV>K-fhE&0t&r(NpXShw{K>{Z^kj?a92YKLubcls+w*!%;jEw@(Dh8~)uwFwq}N0(`L zj^C@=tx2+1y3XNUjLA7wp%#tN0UOgSg6_cMnw?3*`Nv3r0ZJ5(R%b4cR?lf)&Kqur z{+zGepEp$}x%+6tPI3nm0PgOev4x0p29xLG7%L7x3bEde6kU9;di+yw;BpX)X5J5P zdMyy(Wl+nEr8YdwrD;|>rs-NKfXAk*WreArtz|`eas-#rCf#bQa}GZl=*jtW@+fxo zZe2h!!Vy20XH`g>v^CBej!xt^=kPg(5WsYLe*)k=Bz% z&S@3)KN{Cg+q7({c57)Q=Y%c(2l~yco#o9*xvNPs+*16o6Na+22!MFE?}1n@tDq#a zl6wE-NP;HkwEQ&xU{2AV#jUS;CB$rdgBwIwm!xCn81QlTe;~!$uv0cE4)L2ke*kv(l6c1Z!Gd z6DO*eAFrp=G#N=t&zRoZ*Ml}WZmbO0=huc_&&~kVX{s<^4k800lq8ZUvD{wCE+2&l}e(5ni zrV$=v=ICyV*D;Zf5UNweSFR|Jc5?NLJ#Tod<;oP2U^FXFLg<{QA93cYoG{d$Xin2i zyrjp-#b6J*m&y)gY>BmhaiP<3CHFhC5GJifc(tYi9D@n91*K(;O z&wgn06+23#jtd-IF48HXmg}T?B6~>Ep1j|*>l8XZ6x<~`^BCg~WG?Gjt+BsD*KhrO zTaL%1-bl^9T^E|^C)&EnZl5$7+=YjwwNP$9&_T7d;#KC40T!&v7dju|N(2U2whS}J z*QyEMNyua1Gj^OFAuEnZ`-2g{%ippGJAytJEOm-;pWuH47VC&7cDcLZTC}u9aILP* zOi%AVDcwdrEF*(mz!~a}2tTxA8%{A6F6Org*dC8-v>ji;q%P(!1TRqUNKEO9;j?^1 z0=cIq!>((@-32T~ML?Zwe|h0xN`)V5cCm58Y1sL1k1+;5SmA)gDz&S+4&0Br=R{?T z3-&9%TfQO1e4gu!dosIS{%VWN$T;&ju7kx1HUzu553bWQ%_4#A#IdFD0R?E&Ke#mQ z4o;o?<)0g)C+R<1MAJW8W(K|G6{VPEzd9v*EI60EWxk4FPz%iU%$EIDyTjhOB6J(& z)Wo!FodXG1pYZqE89e(R{*fT0DD$sz6iqaG?N=SK6QYATXC7G-KVq1QJKr%pcPc%h zH#z3rE(6BbXPPd#81<>fN-Zh1o*QL7K>B0G_l>Dths*cwj~oeNF7v?m^g_Li6Q!d(e?_8j!=;#;AMK(nuoTz6*c$ z9w9U`acWZj&9@S9hlRN=B1g@<=W)>bmksImQ`5Ij+C|t#FHaxtNPJdP;RwW9KesB> zrgwd_nt;T0iHPFKk36a-S_d&CYI678Y_p3jKa4wdJ@y+f6Fi(RgMB#JyPo1w-tyQ& zUcF#H9#jVzE`6sk3b?vIN?Cu_r?}g#3h+C_xZoRKSZ8W4^f|WKb4YJEg?7Pzw(KdT zpNSc65AlwpoTFm@b~6T-o|J2pUb5ecohjSLS9ia5pG>!-+%h7 z%X3K#%a2ZA;GqqlXD>ieAA!`nEQQp$qE%&GrL**)JJ9cHN-}d?aqv+5k2gGvHYO$phF5o=_Q$?Y6m@p6O}S%&ee05n9egd zS&#d!ctU?NjpC#iB)qs}pzZUx7s?&%@s@yywodIcL>X*57`=e++XQ&g{__G+Cax$- zTrieAXa_ZR4}*D?-tBV6Z<^dk#TkCYb*t}E_u-PkEnmqVo8m@)Y|5DLLXydoJA=3h z`r7)xB$J9}vx#+2rRFHyE|Q9J7f|VK2o4XEiW&_C1m)HEab}HA_4a~;eJ`bjt9oC$ zAr$1gYoBliyUt#}Y*mp3wEF%L+ywhtD>$VsR8mFp3*Np5eY&-On!N5Zz^MvKOKyG$ zAiD0idfxTkH^yq<@9Z_6@Os`Qq^iQu@fgblx?tH2&Vc;2YbuAixeTU{)o$!JWgDo_29h+cxj-D>II5GB&GR4cEV` z2oPLJo% zKN|@XfFw}J%BMOXrca+AD2!gtie8$8JLzBOLqjQcDw^*udJU(R^FdDrZNLv;NXM4+ zrW{yGTjfdmt~cdv8y4AMmYD$6FJnbB#C~7IY7HCJa_PQhPFztj6#XLu z*ejtXqa<-Zb>d`+8f#+S6PCT7!uQTFlvV{D)DA7$G+FLzd2(pWAY;Y~@A)7O2niqi zmdgi!$;$F15-fmQipTwHNwnClLm_NWe|EUQIY&+WnB{7guVaNGrmnWw?QK_ZU>Jmr zrtjw)#eeFjj}>VwqZq?#{y1~6rH8~s?XVuno9J7fNX@7G9j3;w-mD!uA{&gkA~kG+ z;N^kQVcI4n-E?x)PYvj&LoN@gQNLcm(NFB)V`@paVqmP!v17L}@k+TN?TT&Ay$gx1 zT8iGX&GyL;>nAB#F)PTdNy~|bwzh1}id@JB?`h|nPgcrpeXVG>08Q>`1204pVI-s@ zx0qNKkH}%?g-GBt|6}cQj4PL7YAB9|k;Nk)l#A=)0GXL?)83b!oq%3a z$r1DTeopr?hDce`^_T{&andd>!Zeo$6 z@K1PMu>u>qblbsVN7^7|{ERxzWt;}r9RcBXIvA4}SaItC3RDW420 zDn)C8SHAUBfeat0x`XlR`Ey`!B9D=Um-~fmAlM^D)p~Gzo3S$xnrJ1ZCJswGFJ)*Q z=8oGDsl(Za!%>ynzK?v7MtblKy7P&hlj!%bccjzCg+|g{(RSS*_6$sN5}u!l0zYeF zql<2l#eM*)t7BM#zCq2=SU}l|LE?wz)5a}M8KE+H=3U+>alm-!b#B2qBo zc`Rfo|3#vk_D4R@iI4XG{Az*LDx$cYFp1mHP%cHERV^Jp z`43*k!P$++?}KjtniaDLGB0b*Ls_e&=AoqEiF?7pHBoKvXxN4un>kkR_UHtev^Poh z`-U@t?=|RyL=LJJpgFouh=YG#-x`_OnPBc_b05AH0sJ-~IkW<-&5fA>_U6nw@~r1v z9v5#7Ha;SjF9VIhYzskTM?wUP=K|&XwB!B(_YRs!>P3i76^IEg<|z?yJ& z=&d0C)bCax3H6eS*pkXNfjIpsd!t$4>rMJv=IFaGQ72jife%$d4Y`DTCcXC3enb+L zxCJ$B@Lp@KdHv$atVj)xRc0d1c0P~QqYwp5mw%t}(@V6-`5Sc1*_8x(?H~{Lq9m%5 zH@LKsz(?u=Md-TDa1K%F?TWa% z7m*~Ok}K)+zQ7?{l98)RcKA9O0EpPauab<=#*vMfkW@>b7{iB{cmRyMk1JCy@yB4$ zEER{&tfrHq~w#x8!0Hsu`kXnIt?-ecNBzGi11s=+lNX>6P6?Y_*444g> zVR!fa+E`STNyH6kODIV9)gD8-JA70YwH4QH{?L-4C$cOM9sGlaHCZ$j$4q$s89MQR z&jPpI^2QJaU9Ugd4y?9f{`chWnOal#obk+;hRMZ9#|A>bsd1u|yNec@94KMfP5RPP zv<7fG8@{3|3|4{jw4!Gk4Om3^!Z#ItyK4v+WC?uV9(K1QdiwdZm<#+qYOjR+`Xw{3 zLfXX)VNmIzABj4%$)MlUXmc*hMQfMD!_%S(0E($)<3a4R@9KxANzNFrI;(?Kupj_b z2t#L}iurQ>?atv?QOwo4nWhhgm|D|#cTva#ZHS6Z6ZkW%MEOEETa6o1NOTpd(hM*e zJGFL79XsXQpS}Z)98}VPSXz{YF98(&=QJE_VHl&bChDT1W;}eR!1rF1f(>7=;coqy zFKb#Sgly1~Mc6@@WXjLbVXmK2Wy_7xzKKx zP;dKO>lC*UaZh03Ie)J@shWY{uNUixXm%oXyEPx(n9QBto&=R{(*6J0)do(@LA%$I@crLe*$LElH51T%@*pBokA6 zZTAjuw~X~72T&jc31nP55aIR^fRdiVIY6S7TCzwKd|hE=zhD{Zun18IC1rwz9@J3OU;=mxI8=QBHT zj;W)Sx1?_@)e`+g7?+J=Fe2%m>E=M8nAj4`!i{h7#enrh_`3_h)J9OOwHK>oj}9&> zgaDH&zT+ktnqZ}_?PJ;KlCA5LVx_Ho5X&+WaU3tTmZ)HjXUtjs*LD^SxCZg-lN4iQL>8Ul^ z!HWrhf^F3akTRo1*&RjzMblY}7G#wmF5+KMV)W#aL00v9$YM<@?|6 zvZ2|$5J70U$p653ZRd`37avmh?M4SVo?}kZmb)r9V#boNd+pc0c{qQ5G)ywUz>r{< zFRZTVEUinTrD%x1cnET7HMhQz05!*=0x8=UQjK)nByPDKpH|u5vG~wYm55x(zuHgR za>$lzv0$}@^Gyr*Z4=HVg3b$HYg_zABBAG)wdc3UgQB#5><^rr`>nj=q<}4ic2t|h zbCl}W{xSo}&`Bx73pndv{K=iv=VInRev=r9|9wS+Nq@Oilv^6Scipr-(j$||-MSv( zy60q65qeoCLl&%?1y#(~gk^rAGA)ltv`0Bi6)hVdKLLQr5)gg7}HVcU3(zi4jzK%zMF63^szy934Lc2g@&8K-wE6Cd*!BVm2}olZ*e>wqL@ z1jrqUxmcW&Dom%!=^sSeaX`*@Kf0h+gN|jN#E#O1A7oAY=xR<5S{va$_4;yoV z2CDAH%5l%pk7h*s51{3`OVFBNKm&IeI>b|qn?0+jN^#%TyjP@qr zQ;$$I{ke=czh3_P z_ii8o`n|!Z=v_R6wq($l8QGZMr>EjEAgI#OXmP-s3Y-OO)Th+|ULiAc$LsjKlS_<{ z#bKtZxLpZ=s*HqIacsH_lxZeD)yy)8_^n(DhXU_0c$o#p?Gz-4&xe?phk1A*Nmlh#) zKIyTb{p<}JPkQ2pC~GGcXD*evu3~y`;??-DeOwXN%4pQV&9Dv;BZHQ#I$wK)JPw}0|?rt#Ma?X4ELaj&Us3%1b;-_lIsW~|N2fC2MHgkXa&@nyWBP0GID2eQY~`~VIvL5~ ztzf^|S34^=C%(@J4B7}LU}sGPj?mX7r+D3Y4}ny&meSsO`#%*oAsWRfc<33&7Oz5W zzxLj=c)$9lXX;t;mqOsCPEU+Il!-dl8cO66d@b;*QIDSYm042!yJ~DoD?~HGS7c)y zAfxEZ!I%#7c!U8}it6Jyr`@ldGYCtY0>a29#mJ-{j$hlHE1g?|#TmwkIeZI>W#hyM zbsY~T=kakpFF*E&7^2HfU5Z+k%TAU408kK|*;B`S-6xhpdcd8QjnpP1JJ2y8kIcU3 zFiV`850+N1KluCZ-bwH=x>{IB<8nkTmwZHk>krhsp%*}r!hJ=4LQEKuThQ5CZ0#|> zY3I}DGOKYqT^abEc}@{RC}Vki<=n815PNhomup?Jj3E8~$=-%WYS5?ty*$NFtxq?{ zouIf)=CHYR`aI840cTSZ(h|p?A>a8QFxN~X2}i;3tP;p5%Qq6%s{RoZG%rPq=65;atmSeH zrsEMTgPIQIgW3Fw0e^7@c4WY`bT0!kfkRMbI@y40PSYnLtae3mI`mS#mD-$ebt3Q2 ziMCd`_MjTc#a#Ae2K{z3dD66c9XINhK)M`HX@QgA+6ECB&D|--(@%l>`?vvg~B7JSjtKvf_e`)FlcCHOm5@X6q^Ho0Mv-@w>5fO z>bJvQJmP_k5O+vk$b>JXI9qa}t2Vn?GE#~KomKmVTrjeUsp;XpT81`zaLE2$r64-4 zt<0D~Zaq^qu@jzfkdXkJ=5NYn>clAfn!@vP=3z%fdX?!cr6o-J2B7AU@>Lljj9;^? z;J~(_>M`1ucfLe#+zuOg)0Q*6%%Z%!v5qk=Nh`L|;24TA+fD|w@>$DXjY@CYzgp31 zw$0lsCByfiE+N9_m1!zRyi97V!TBmST8lGDUu#DDtK5!x%l21#P&09L?$2VAr%%*T zm2|NsX!^~ALa(HIKE)lm^?j-W9?fZ9;c5*&Aqo)Fl~(STd>+QYF2mR2zAtknttN?# z-oG^~(c6}sEuDW|Tu-dY%3py{KV4N!tBqldZ(gTovU^5X>MO2+Pv1sL59*=Xo}MU@ zR-3&|E0tyjFxys)!B`t?A)V2B4NxQLilwMqwX)Kd(a6#OdBo7FQukS#4QGj2G5zX7 z6)9pPE*^~dNR-;lF1D|gL3kGBy|cv0AFZp$`o5Q4N)iE0-|L%uTSS@feXA@RqDc$7 zA{@P4!;ms(FmUGT)+1YyzBgOd$=Rq}Fu;Gc87Ya*k`PYMmMfc6q|BgxX}h3>lPmiR zcq`XOb*d}XgY>M5?E9WE&Dy2*6BlV^>O7=C?~r@0>ew@{p*gI;aAh)fCC0m7Kr<*y zQj4(x_ouj-1#K))F%N29?bik>3}0Q^<(69QcoG^slXDpbFam~=T))!OMiBh%p&w|R z<;#|sbfj-w?M0ij@%J&@LMoGGyqP5|*m168msf^9Rn0~rT6v5s zwC}6Zfd$m4#0AvSA2&ac))KW%VAJZ!;m}4lk-o_#Dyy8)rv6r3sTq4i8nj;}F_ouj z1O@myx9@)E-f``P41X`f1k-W1tgr}}>sL(QWRF-;IXT`b`l-0LnvZJwFK}p4kgoN7 zH1x0kEeoU|?Ia1q5X;^kVVRmEEgehnlr?r?_`OHedj2Pk#`sR#=}_0XI9@tQ)0tbH zHz~vq3kh^P@~WgGFYQ%Gk7$_4TDMN&24EZJBUQ&xSL-hu-Mq-)gYVny+aup%wfQ68@NLnsld>u8D^-===5uZ_+C66Rqp$&H zto}7!pcds*&UEpo-ZH-XL>FdWU6|=^SXIbP2+oN~WtNJA>`{rooU_X%iA zfp02U@lAM#yOkL7+i!kYtFOPqvk_hmr32K+5+j;5ySZGNUhFg}I}S*>Kdz-nbAPN8 z3k;1e)A;yJoM738(eTVq@;B=`{+-}q+$H8&WubtONmG-I8L z!(2}d%d9k{s(4%;v#(TL&9>d>^}y(g?_;(|1TyOInHLl@?AHY#1G=a@Pwv{FnadgjW-_PdHBCPA}v_+54auA7sBSJq!{Tfmn!LdU= z(NDr;K9Z!)Hnl(bh8LTn9Ntcq3re%9$PpKQ3B zi?r%($gFk!MRt@M4a?80nXX}I+uZbGZ93$B-~n5n`>H}(9yS?w3n;Py2>KJ88~KN2 z+1|Z^d(J=1)I9{SasIPaqTVxc?}6>6CQXNJF&fK|8@;SwfBqXGJV}2XQCLR`&gBJj zroS@id#(r`m_BP8D0%b7e~C+^68x-||M>HR!PO34A7n~7|Aci}it}3ZM!0e*qRey8 zHbcXMfT#sGA0K-yx(utW8n+bi`T9@$R+h%axRw?R19pxqZ-#W^X z=FtbK_XZ$9vH`C@nHK}e^V}847&l|>?DlPCdU=cO`IuH!s+P1?{YEKu7qX`N*4!^V z7CE=sDsM`IacMW+qdeu?(Ay1LS&DA0I1d4r*}Af+4cqkQ*7LJmX!w!9BN4Zs=kKD! zI0wm^Dr<+9$W!K;FD5UTf`{d?tzN&MI4bqrKfbTL_Rcl_laY!H6ctXhZ$7mAVkRaHMT+ux{WTc$?cT!kyi;GlM>}y#K6p8|*hN_0-b+jaI+5Ul&T^n2- z$TDC4u+^;MvbLbUT1hDTa4%A-sVd^aJI>qak~a`wRe8M_<(#y~)-%hqw{SM<2u z8JgQdJTf->mj}3N`^;o;T4?txtHH^cqrqXBntJ3B`flsRX-kfv+puS8A=0z z(#mSa3|O_@JdQD=BjXQZBjZI+Wv99WIJK(MXMIO9+!_kg%C5>vYp;M`RX)_h-OKZoqVUk2Rd*WG3iiTmK-1eRt(`5C1}0S)#gy?f^=lDW zRkq&p0s(0)w%QGe&b()l>@Hf~EF&MX#ThFtvwgsCfugnt2^NjZt0Q16%Efi{c_IO)W>Wer z`N*AF%NQxQVb|J0$m#>YX~AK4UIr~f*qxjYY1?w~sE zQNOenHQT6M^wNxL#(7^N@=vQ}ogwn~M$oYZyP(`O?l=2nj}sDvp=uf;GW&&Qp#1eNUE?WgS;HDfV4sC+FR}VNUzAo% zYOMU#PgTh-O37<^(YV_4xq8^x3ko2FhKNR*(`ywJ1DrsbYovwFk{T0;KiNcDq+irk45)=V$n-j)J!nxt}>i66v z)%%ZYtrhenL^k?)C!c4)Ok&bMD&p@2mkE_BrMLIDzVM_GcVrZh`BL`>ou=BZ(^w?- ziD!d;B&y)NfNGW0`Q*;sj?>+9dI@bgb4mTFBcl7p6 zbSs=nKb^FBFLcL#eP`6p0_X_*M%MnIIT@X^&iM=jf}f63_)K4BPmREj&%39vm*?#` z@a;6kGqlQh3GXj({pI!u?0a{--d@m4ra$T*J-B*b#hfDS-awPldax=WPW}^_)D7tZ(={8gOBzE{|LSwtwA$NereJ0tr z)PGPq*L8;QF!(ctnjizl)vNmVNv{bH^9Ew0;MI;~N57($lh&r*tt~ltF(Onks6R5f z(C{OWLt!w#KO#7esqid9k;IN(OTK^a0Nl*jn6H-=Br*n&akeZC-&WfV^iVH@+qDP0 z8Jb=M;8X_o@J!BXZg6%0*r|zN?XRL%Uhw}sP-IA08#6WjYTZMxP~*0yYXj!SIT-=#p)2Rz4)4g_#u%kZw0H&n<%!>+>9qgf2<~RN3M>NHPvI_FV$n#=g`A}x=o*1 zr1%^XReB_DlUW{JQTpqW$-S&GwCD`fx|CWIZ%R(w9_kN+ zdiapeQ$J3ah%_SzA4Y9q4eF!SNl>EJ04T%E(T0NQ<9;Cp3Zm2W>i+zWoq>Gn_RxM9 z)ZVBRIprL^5Ck((GHpU6H*U%{6To3%KYBNy>TXvc4uC&4QBSG+#FdGJc2{k4Ce{Qk zW3$c>WnX-Y97Uxx@FNjre^u~7q)QCd4jo@0B0Zze-k=y(ye}YVl z5eywuV=pvRW)bh)F{{n;{_DMH{88HXq3`Ln;cpWd3$*RBy?YY z_t%2@ChD(L9$VMnI2SxEb{fA?Sa@4d(Z}5ANqZo5+@tzNoLA5NKpv;cdnxIiFjeAk z_jmVmb8Bz1pA5LLa#NyU>1r0UdiKAw7~j^CrzIempy$~eBB8h})pW;Dha4PsE=hSl zlO~XMEppp-9nN4BMvi)k^`qox+MiI|KhDiV??!g|_z_evm7*!&One~>3aS}(Z2JpX zCpl>sunK$rnX!$3q&jRC_9w^OH>@K^5*F!Xh`LwrABW4>O}dbgLj#MnF)aC=BKh4XELhw8i7KlJ?I0I&oT)#JYm#)RSBL(@o6^c=f@Cq z0IFh%HS&5AjZrshlEG$yp{DD?+~-7rwKu3nIgy8@71qW5K!@39J#=CTJ86FNYTW!G z=VqBHGA?Gk)sJfdA9R+Dj@<+3~WmBFI2arN`eyU1i!CwFz8h_$K zf7>nnsfzvf`!Hb!n|Ex}JEjlEF0yZz#0PWWN%WsU1~k1WpSd0`MJVfjVc!}~rBfRH zi~+CmX0fZrHrxzvQxS>1OIR%0f1QTp!R4ulb9lQpqF4;r zg#Hks&BetcAVIEhYF^-2Lba0060W>(3KJq;#bLMe;H zQ_*KDk%b8hcdICo=}*lkmYCJpOBc41m3PpwUJ`#Umd&4|Rcp&{c}b5_A`>$#kkU zNz+ur!)aQ%7LVC*VQno&n?_rj*?3=rIpcGe%m|^~t|yYa8=I@8R?JOiVuzmxr#OF$jqB-Z_~FA7vG-y z#_G1;%AfQ`9T6xLx9%gi672qCVTf_q*=41>YCqohBW+V4(QzZdBI zY4yyyDjXrT8q|)RcN-fC#i-LEGOMu1SQ?Vc42@rz<=ZXB(AXmm$6dcN*FLM8~M86wS*E_*ADD!JI+F=7XUx-7R2H{HI?aj`5GE=Sy-khFc9%9P{0~ z1ddSoCSUigE!AiY@t}U|em)(M^2O8+`%^k>o@0)FgPH{mfD2t=O6ZoNtO{m7tu|&q z0ZXMdV7!NrX;ogCnUtw4>1N+~$ox)VzsIINs= z^&u$Kht$D>UPiOH<@Uqmkx3N`fSLrQ)d$1GEHkshxDDqvzKT7Lf%M+v`)k~=aSkd& zmuAe^l*A6I1}`XTfnxH)!Qgi?u5^~~WL)Sz zydz*rBkId0E1IKpL<-LsnfujAuU@#MkUBEgel2Qh@uM2g%z`?${LPoRX`+bH)QNWS za1u*@b;<$nH=KU?oZ;hV-9~}U{`yjk8s#pFBb_Hm>=t$#8NZPGVpjv+_Qj4OY1{I* z6{COAA%AHOTKGYb`&H-h0Y%y~MaJStCH zmp8pFR9I?(0+@9eBxnc*9(Wa}u90yy5`jiLr!1TSuXFF!3y=ERcvv*eQ z5@_Mv^MP;H!Y>#~!pAvi;OI2z>#D2f=>!XG2t(g|SrGTe4OaqJ3w>JIM(s;`<_lh^ zQnEqnOO6Rc?b9A(BH6KXgn1$}UnVMn+1JK^jH2c|9Au0edx z&XrQ;FZ`?@KXqF=6^B>2q!a@qIp-J#fMLjy)a*9?h>?bSt$1pGcWTWpTZcvoLM%NN z9aJ;Vqrd1asWA-f<^*n4p93xM^bK&$@$@GsoWhvenSvOw%p}ebKG3t=XO3)1#?j;5 ztOcO;=iI0+&G)?*tty~9fob9jf2#WI5_s`>SwF&T5Y-!j@{&NAB|P&OoN)B_dkYRzihjFxVjs{KaG#h zWymx~c^adTV~h+ko3T+=Jo}wi^(3+5^TCrP{cn8A7y_fkl;^$}v@KB54}IuDsCDp} zWpG!cV_ufW!|tN4we^QJ^C#?yCz<=!yyE`3R4c>#aNOpfSVEKHSkr&wUOfpYOsCE9 z>yHoWqG6i%_@G`rF8z9aNg?y61$EU%Oyaj^X!>+!Z>maj*k6N$?DVOMJzP@E>mkk) zm)PHpb^r3=rJK^@H0li@uzC&mUnQBI#`klSwpgrckgo?hf_wX64BqUd%}ruhYSli% z#~4p@guWuipv;`zYTHL$%FCa9K4>}ny05`zZ&~r@!X{`BTJ9bP-Y)G$!0OSnC1JFw z5PFFm#=bz^`EA7hraf>W;_)&G_~U^MqNu@#$8SI5-t$njIEzWCdS!R*@=H%{nWT&l zBYMbaFRUX=h%ZP_Hu=21eVZH=b949hw^Pru1S)uT^{%X1-O}arhY4N;`<^5U&u5P1 z&pD$SFDPr`!}9X!Li@3Vhmr}Yi`x$^O4#XuTM`qUnsi# zWO}=>pVkNDIj)Y=Q>Cpp`UbwP=A2%hb}B7!vCy6ijjtODFV|O?bk)UxA0XZXj~u{e zRLO;2G%>lyDn7By=jWu)pQcV4y|S;?=lRud_W6I~Y)YH0UhU7E##7oobT(yhyH}K| z5w$jU@0DQa?$@;ZMk!>ta^2X&Gi3g)8CiLZ=gTHlQQSn~_n}+3>MFMGKySQ6-Q8hy zT7xmD>7w_U#rLZp(9mCLJ@zfxYo^t8px2_+i{631+@NvYQO128xbimOcS-R7)5n=d zL%FzdT!c{erMbiqQen)*AY|W@?E5l}!Q94-%uLon_K;sFk!&f#^^=e-TSAguN(mt& zVr(&u?e~tGZuj1Ee(yPR&b;4w-sgGVXa0G<=Y7v7xJ#4l%&1%OWi~Aghu@8?W-D#e z?7QK%ojJykr>gVE94EDPBaHS|b7wVpoJC{Nw}}t2n!IQ$r?recIsIW_=p8v}pp|2s zC$xWkMypCW#@jG@4AQ6BVoWWYyA{~Q#IdwO3|(vvLay&@+helk@=xR9v+sPBh%r`)a% zj^@1IU94TLDO*(6xH`+hol4fwZVKFHr!73Wn0NSOQ;RU??4}vB#=_=m!uC ztq63g1`q~7BY^T4oS&610=cI^@Ro);V5R-=zvvcpiC)_YVyvsHgTSLaz;Jq$%RVoI zezt$V+H^hzmR7XStZKU<-(--0>skBiStJ)6g2_yT=j$eyOT$0bX6#W48h;i@>CPM%+X%g!)6o0Ti$WT%W4O5$$^87hJzMzUJbV66W<3ffJrWKPFxyo8imX$}dIpM1brlw+4(h`9Orn;i zM^8-MP~~k*Om+tekq=R8VU5zrNP=;URy%IG929Z^&LERADnEm_^1#R;Q)FNfa#Mi} z6GokGO9K%5*S&mQTx~tC9p!l?3*$i2&Q>uuQuz`-_4b;P6WU%Ya4O$8J_&u70df%e zrJGR>$!Vv$Yk;qB9B3c*XYWZSP*6Vc1=%};lft<@HA+r=(4riFI zTS%{E<44M8M8ImQN(uq0>#B_P3@Xrj@v>*q_xs_QoLH(D>kd&=kY`J>F%EJ|U$3j+ zJotQCmD5YUIOYtU7%ghfT`E`W&V!NKwCnGwJbh{Qj1R?s(+U-3kU7NzW()Q>-A5sD zv>P&g?@s8?NYC2rjo2aC)tujXDJU71gf!HH)$m&Me7(En$fyWr(AQ#`(-NL#;%h$m zw3(-dfop<^QClYN;1zf1La*6%57I#$iOKt(nSOQr0rO1NVieGt z&$WCcQXDgv=Q-;%D?|9Lj^T)Ib*_asFHInb^|%6CL5t&K9t?AZySd7tq$r`5&Lxs^aFXej)Dk3!4c?-xI!ezI-*H zXS`$Fltiw!)upaw6xASvEA)_NQjWL`Un1Loql|P;A>{H>`V3S|YfJ;QC3(NaU3lSp zKfET!-dJ5v-CRVfQOd%|Qxbminxwdo_`-=SiH{Nu;M7h74=z7-hx21PSm_+`@e@rJ zxu@(;9h6z(w>>>1LpbGZ5l|3kr)a%q?fgf2nSEY>-W8+eB3{={qwA$FEF2$N=M${I z#0*rzY(@-JtyOgcEBq2xm_Hlx%eKW$>VC3_m)Vr@l0jNW6`P~1YKMqJ26GN`Do1qB z6fpN$q90b`ydx`53dF}}nN*r&o7{MHMd0MIJmG$(*)MA_8iGcosoBWcnA0?86pi04pkTV7mW{Uq0`Y(m#2UK+OJZwOyKlM>JnMJ zm!cX=9vzNS>Q+3iXy?5+DAIRtcwl&C@YO)^z}ft7)|vlZ$jd5j(A|t$f52(eVP=?H zp-XLTmT1hofQ1Vsle1Z}Lb(PXzJw~x^pXjUv| zS;SeGSxQ-|k1WT?w(_^S#B9fu-AKG~DG`2@2-1Mrp5avJQN}7YUekM#%vIC8eQ;UWkKUw?m`i-#R^Efi)soT-xwlW-*WWv@IFHwskgxWV zuwK}X>JLc&!R+6~E;Y3@zTJt8%#VDT*NqtHZ-(}l4==MMw6i09JhS|D)B;sYub!P* z8y;zK_!{!=yO20Q%=uKd9ERqE<*WZ*ett)KI}%R}tpYQ5?Ptfjw;e^PMdCKDHl zE88%&BdV~-tC+0a>*YG^DpAH+_7>x{ZnAz7_u@lu{fpqf*h#+6RtxxXyI$py>Nozc zddG0l<0r!^!*1@vcZCl)9vBUu2`|#>Xuf@or2Qb5S^JGPS44M&ev5{UWT6W z{h)k-e7^gc`EDHn9k)7+kfoRG+Fj!Z_>JCIZPQ<;;6LNwXYT3_{+b9pMCXcANU zfeG@m!}j+YsZ`!Jse4j}y#3dq*X6ELRP*k!^sEhpKddq>tideGFY;xx;#hGhlvfb4 zxn!;M?GqX%SIx$<)iWluEt6NQn+2^ovI}X2!w(xTaF~6_SwE>E-JrpACprC!wGmGN z+a|2)%qlFl;&nxQ#e=SUcNU!CQtZ4+DBY2SC-rTLBfUf6FZ7OkIcn#*!hq(7L?^J5giv`7IVx|F7 zLZ+prr%lFjGuTGz?QXlM&x$nc zOuD0X=j*eJ2s?}FgvX{&OdUbaBQB_mRaJ8&qRBU-8+K;FrJf4~@88x3)|Y)XfxV@1Obqd)GDarI2U1B~0JQDmkP#>&wPh&A_p5Tjd-*LP@S3E??`WeT(qTp}AA6 zn__2Kjjixm23~F@f10;=iyJel5pU?M|2}I= zDKr~&c0b9nysTqZBnx}W2H(yVW_%{V?!4w44ly;ogwg$^G-5xc) z+Z|X$Q3&tWw(US=p00PES%l#yL>(l-D&eT%MDW^5lLubDqU0Yr(Of=64W!i{Z z-Tc?ut@?8fW&eR~)5ijUG&C0Aw$aztzs~H?SZypGy)Ups^w6H3D1g;Qhp{<<6_p@9 zXe<#AR)s^Z5OD+)2IWa$hbk&UJa7PB4v$BJAzprntH6$nKoaSzE)wmBB>H$_Pyt{F z0gdqhBp(FQ4~GRqF8QJ8fxwjrBoe^Cu|qu2Kq)*L4~EENaRd*PCm7M8 z7u}nP^+Na&eJ}_j0Sv);;jpO7KsCf(W;}g!ccJ6oe)x{PwSRvR{}Wud=L#TJ#7l%d zjvZYD?8XIz56}`|6!zxwXN)7l*HaH@;}QZO)cun4FEro2nfbptVZY`yLSe3=2xugN z9kM@bF#TWpm7N#hhw@}s07GHy3O^4pTnTvP0PG3=slk9Y=m!}4Q-i_*pY=Blstkqw zTZ1V8{^TEVXU+f)>7Uxa@+m05pa2W-Z*hR8`cDnu69R0$zsJD(sRFmZ zuMzwZXbj2^fF6P&R_GuUFat2e80(1x9O0gQv&7*DU^>t literal 0 HcmV?d00001 diff --git a/simulations/figures_sim/figure_ind_FN.pdf b/simulations/figures_sim/figure_ind_FN.pdf new file mode 100644 index 0000000000000000000000000000000000000000..3f1e29dade6fa08716e1bb1eaaa3fd067ddd1401 GIT binary patch literal 5916 zcmZ{oXH*o~)`kg^S|mq7C{U6J4NYot&LBAlX`2RGJ3t2sg5(?qL9%24kwJ16L?tPb z5d~2YQIIHtfCRnW&Nz4O%=gt=wQ8NW_Bnf>{iEtRuZX3dft0MYJV+#bA^d&#Nce;+ z4kQc60NBe{Kx%3rur3Y(BOtLDJs1H2i0i39WFRs!au6k11vz;+c?l5M9P9c2zOzLV zP^4MbfFTa%>w|>j0Sh9*mq;K@v&3ONiEspt{8mm{QCgOy{mg|WOA;Ur4G;q3Nv;C& zS2Y0GHqaLVfOTO67z*nRfGuI(2s|K13a|$LJ3;AR6UcGoXdD7V_%j@=i^UK~Lp%We zIUQ_`z+;IxIB7lkf2>Ci_|*&6pE zJwt;6ZudHyVrLaux;ATo(L}uX;JZ9^QKJM}^U*%qAbOndd*W*MZ}O|np%0&AL7h!q zO`Fprk-pvriw`uI45@Z=DGz(TzdhO|{>Yx!S=6S<`#vpySdVzvusX!t;jgLgE$GkJ zEl5-PegiJ@5Ly5TJ`CUsC9XXjI%GDhZ8%l?a(@p=jSN@H8y+8tJvJUedzj$3vs+ww zMVsEUZJ;ba10tpHSr3b&qtRU&rF-a0YiLc)8S0k>ZfFWd?shYNd+{Rg0&%`M^=nHZ?IuZ9go%ZbAC7<4C^9;nVGbA|dHabfBHr zxY$*_dK%1QtzkKx-Ly#Ffk1-+AXS()D2I)9r?Ph0sWz;1EcK}BR7-ibHa?LrEmt-F zjbv+|`uyF6Wj&_&2Y$j4=WJ*m#9KIAEbHDe))L7|K7qSsKxvd$4>723mOe@0UjU-m zyALu$!qAMy=RIt9TnrOYb2;Yb$nbFPH8!cFMUxQ*Gi3O;5B!|n1pAT-y_5(V6KH?3 zYe`i4>_{%sgn=cc$|_)>o7GIk`Ie(wk-=xzeUU33nJc`yc10&7O3?Oa5f0zOEu9M7 z>a0P0>?JTnF|&sg54|H-3Z>M^{tM1r-$7Z?osST1bql2X9pb~?Fel~H9#iUeJ-=VS z635_UKBrY%$(%oNP_cg+8oM)v1lW zFRUz(DSlbkY+WS5kuk|>G~f1Il==&yo`FviY45Ma3u}CqS$$%x|KJ^t_F62C-BW(# zAgDp?$7qC{=5?(xEzqcKHzG)POv}{r@tCFj=xIX9$LB}X3AEOco84}^pc)Oy>WFZTQNQK#!g?cjyT|x$$F))ZlUu23Flv(UE zt&w4@Jj+0gr%UGfkRFwtmhYJ5*tu$@0prNUu%0LSczagrP%AZ8nJIpaXv{d>(k_lJ zgKW|BoDl{(a-nqtW_71TZM7nA3WRy}NKlo@l@7aboZd6iMQZaVhqcbJ6m80#7eO`FwSku0@=CF@Z zD`RwgqP0qO>ytKMNAFXVNr{}+h=!U2m@lHt0qlYw(rE?Ez*C%W={|@T)-JNOXElKY zuk?o@wn|=C8zok9->KH&TO}8(ud?xh$H<&Jlw-psg=MgvK3!cOXLP};=g!q0HvL*2 zhlajf+nx%OT&l`MhtCDV%7iTOh?_93CP$8sUfHr!t(49XacZH~af<|Kkf1OzPvjuhO7I|4> zzm>mo-!A=88)-)Od@|$GRWTW1hlWW@z#ub-e|`5pl#Vep?vtg_*Tt7JCRcKpfA_OY zE?u!|d|h?Apc<5dYVyt{bPXKp!DyuJdhnsm;{9dp1bV zx_VGGR>kl|y2SER9>bUOq(>sdfoMspAy`zn6C-%6!(Wwlbtd4IcIH{WDRq^Oig0+a zuf_Os071bxf-6?jU=;f_+z%HZ!f=)9C_x5{t*UU#ppx-z*}oc*wR_@FsB!NTASFtb%jn4u^+RcKOi zEI6}C8hj7bD>SA5obXJXb zAj>AI&UfaL29+A3_jTLts<+zGD(9M?ErC{zQdffoYJ}z;4vvazv)kF7dybM!!4wtZ zJP)mXQ_p?SdCG!?8(V|ZlYAn?^lmjC+6VEh#-kZw@SQn zVHGT*wpTX>1jd2+78vxgyT5tAS~gKT26}xO*YeiaFDZH3@S1hpS7}zA*`MERb2Yil znS5$11_C`Y(U}@Kury700Csli~J-Uuzmo+ z(1t)}F*P;va-@_fEY8Lk2LGvm@z#bqfWoiv|1uF-BIk1f8|&)o!0-r9K#?5f_KUK} zqhEW}CSwhToCK_gxQ2uy$cut6lE?}CC;vbcNL%{9_=jB6U;LAw>2GT@%@sS+snlti z#*%Pr^s0|FmC>nAqnpy_Wf@pZx>G5H74>X=^{j4|(?i7P!%B5;)(Iy>Q(D!np5WD+ z^z-H5%QW_^=AC;GxH*(JC%AXxYGLQd8}H4KsdkFgqez;^W{wPDjKz)|@0NPwk`ui> z=qMRKQ&6KQ=6xF)bh!2nsB)-+UnQY(*!Q_R+nIoGhvz3WlO9q0D7@9?BrHo|nVq!s zWq;b0m-{JH-Ql)Ki^bFIW_j~r8IxgQrwE9BI{wQAm*CwT1heusBub5U5I?+t_`EnP z_C8sett;uK2QT*${eByyOB5bSFpkmc!!FkG247U95Ko(x{)o5nL`lKZ#32zgBx z;1TPtH=7?|0o&=&G=i+IyAsALs9djSV0gjz8{@~q*nL5|??eGE)}wP>ao}6}dV}R= zfLUgf%K&>EO^!~C)_!5`KJ%0Bcc$Ai<7f6+M>8F%%7jj9-4LJ&vE1T8uTJDiEl{`S9uSLD0#kWk&-hHCE zo3)jKd7hd|TRiTBpNH&x1V<{R9>C2J)>OoEE27#%>@F>_h*dsP(U*r14xg8Y(n*I8 zdYqW0w3cBi2$T2>dalJ16+OVhX&p-dbO-qBqa9QE7O81;SuOc*(TnKn7*TO*trl6| z<-ZrRQtY+tvMf$G-A-{zx24F+hwXqfi0-TmL-`};T2>TIgNFr_J|&9#(bLZmsGxL2 zOLvAZbui0Dl*N;*c~(b|W_Sf_7z?XPNumrZ*JA^nn*rw-ScR%m+3rvwwPsQU?g+Le z7~QNGaN(fU*O#?4yLIxJAZPSKNoKKqv0~{xD>}>kyBd>rlj2uEUs=r!u9ggq4KGs= zE~xP4CrTSQ6y=ScS#DTn-GLr((nc1;lVnqPLe2O^IUA@NcpLa8Qk0{4`;uVgb&kKQ zO!2QKoa)8ZUPj3_gRZk&XS+_Lni3Luc7fpA487#4b}>$}$8O%)SIpPJm%Wwu0oz-a z%_QdD?azZ-h<$@#<{R{yDTPAf>`4swql|RU!=#GSMh&2*t)>Cm=h(i+UF`8K32TjU zG*;77v)~u$60tJ!I;SWReohE2v@Vt}{6@GFNPlYJ$&6ETGJC6o5iJy&6MJY?bl&m& z3GvSy_L7t0g!8Ue0p)QH^0qs+uD@s3I2H%!`5A3hvbjGsim&dmaxSwiCD?w78E=Hx zO&ciND(eO|;1a*kd@$s=&>Od)`_3vs{7~Fm9BvzR&jMl7Hc6Z`SaDi`p3;>orx~?I zmNjC1A{!+*6B6=G8chmJlArl;N}MU?8>3$Sv;#SS9S{#x?WF81?7CJ&UnstiyjSz$ zagzO9s-44IsmY^n6GoSV=>W+S7nE?!w1gH~-3n9wPM{2RB^lw+4> zr=k>woeTsS^=eCD9@z=l?ZR*05{ zwwktu^q0NxgyV@@%yCRja#Hf;Bt;$~uR6qDj!9-%38T<;RY%cJ$;oTn12@D0e+Ds^ zdxH*|W>joYGL@~8<%7fyoq104v12G!YLx3Dmrf#WBA*%CM0(B>6e7iWTq;uPq*TX+ zLML9wUKe!3O3Q%{8k>)K;}g;!bD7=8#%BV)T~(bU^|HBdcgFRL>s(va(zTHgj5nsg zNO8_JQDNuY7+U)j;LyYbqairlub` ztp&gO#?4)BnroUkSQ^;3y}x~WDY4d=S*R)%40(QE0%So^#Ar(BObq-G9bE-*~* zkE*EjzPF@3;_W`=E?mP@^AhE~YqBeW?Rh=Y(Q|z?c7gqa%{qS0VMJ-V<%R#Vk+<0B zIf>B5(9|D_Klmt}DQCkzhE;0ycV~o$Xx}NK(SD)L95EE3|43cP*T`dFH??E?)Y8c% z|LBO(u+jD6y~jyUGNVHTQy7>})-Z(fz}T%=#vX>XdpwQEq^S|^6dn}b)XUK`E(t2- zEM+grE4|bo(0{An2wr{Jq0c>GB96U>*bjeS`aW-=g8SgYY@4szBaLF{y943(`hkhk z7p5F9-hmn_b; ziDrnYn_M%0TcDP+P+)!Yi)}ZT?a6|QgNmuLu8SwlUl;C5sEc;0Q)k`G_Omr&EoV4{ zG|6p4VjG?}BsAO^yq&e~swe_tQ$XlWC)RiL%1@6>hV|&xyF+r{XWFE1iz=z?85Q6P zWUwA>(_hR7#lD1WKXeawe&jahQsh$G>_I47dUjwpdatZ1$YHfc+F8A;4?7gz6xD>h z8YeE}TYChg^BanpV*x1{dtja8RK&IJ8lCB;_M-Pdt5;;*2s$c^%Q=7OdHBHX6c zrjjOe*pHa5{fr@pj7uRiX^n{5=f$WI`{(xWrdD6iwww`nkRAaGz80wO#M8kIpQdD~ zX01K2ggIEXB-WbNn>zElPP-v2o0?Wah$df+k{!&iS9`6O&%Epi?5J7WdNpBRVdvny zhpF+{9141PFicw-lMs>}qI@WzXrQzkI&{$9W?Wj?`02@wcQ-zT$5Dq2r3?*8K<0z%;|-_!9QQiysSbYh(~tK7Cr8 zfOnb(ZQhPo$5(?NU_YZqr?;1aNAf@It!W0n{d!b)a+o{C-P3KYebKiP-+iO#J>8+8 z3hfzM)mZ-6cCf1325*5<@Iu02#)Ly>O+g2j@A~+_(am?ORxhz{jar2|pLTp(wm+y| zYQbYhW}WcdAuWpq6eQnq;8X^YPbl(p+GM-A$sp!>|{NZ}|d~w?UVZaeYhErAHyX(%;L`~kMyANOe z7~eo_5?<{bJMh+cxo17F3dPS$t)hQ)Wc#zrwQbgIN@`}`SpLSdv$au?WKnp7dM|4G z@L#B{{1=9T{xtjaF(h9Ni6OatWNiKK$N`Db#^8~^1Q1vc>E(qWIecUb&jpZI0Hcu@ zA|6my1p5)O1Oy7#NlJxB;sLNU221cncmZJC&m!R@@<*Xyf75-4 z7;hMkh(^JP1OSZn#$pgxN!egOSH_dc-R*B~=TFxE1>%3$oj*?kU>o9P!cX^;ERv2G z7hz~pNu<-k&%XQ-V}w9mLlBT~7zq5UF95lte|JX%a0oAu3?M5DlKJZb6crTY6aX*a zFAYNSfXNqt`Ad^kB%Oo)SA)pO|0@n644jM>=2pQ&S|B_P?48M3&_C{!>%_ zm!<$w{8tVIg}>KKz`>9x1de2317I6u5Q4N{0Bnr$!jevB@*|HajQrSgz#n=+E zlYNcs@yv8i=Xajpd7kfe%{ABkzCX)-fBt&iZ;{(->XJ|?X@H3Tg#V;J#lOdb0DyuZ zApE`i03{^=7(qZINfnuaRB%x-sb<^GsKXv)GU3F z1_9}0k3kVZx@3|QnM6&yO~BibQD_2f7cM0$1*K}gdf{o3IN-_^02*gQI|c0T(}2K+ z?oMbB7=a`qv3NTW_%_lGO$5QI0s5f-B*^_Mffh%LCZKVozrw)?JdQ+N5<&96(!u&@ zBA!e@QR_+nS3O$5?{VBf}1 zN~4+1AN(?>YA8j;4QOI**}iPEnqL?wz($0PJyax#JA9KJ#1altfQIIBacIJe3pYy5{Jcx$t z%Vg8j_=K3k+f7k*n52FV^bOYPLwMy|{iLSUP{()K**~IFLT^}3qHo+7RJUaGBEM3GV^uGy@#lH*e}qWG(&oiEI=pJ!0)`SmOExHVIhBv)f${65nKiGOA}%l(d}y3XZu z`2_VhPK~amMmw3LN)Sv^`3NR4fZ_P8YjTqIHxXZyrdAgq!3L-nM2Fv_oR9-_3$Qy* z9F7o>qL(+_S3Vm!cHOrQ-gIoR>aJoHAAKGll*(a^k!Z+eTt~0x1CoQY#>7fsvXa^V6;WHLZVeK9|OG0HnY@>(^D& z*OYqr(o9nAl)#E|N=5weG@h7{8KW5>C9>lLMWQ)sCOB)nysu~YMSvp^R-8J)&x;Ts zFtNrvh^hh!A!ov*;Zx&6X$~d66pIh*nM%j(tdnOteR|A#Vy4Ww{$N+BigP&5m37dz z7+OkL+QcXO&8>ulSt+&SpT$Z&J@0U7x9k{yayGAOMbm4>A%Uw48PKqI%3~n=0cRV6 zzEc9GqWBMNUA_=`I*=Jw*Lj*}E23E0f9E*8~_%AQ)NtG)gL@EN|v>|%0GB~PI_ws&XJJx^r z|H#}IaLXMZ?z857F5u*CR;CH$7LQVX`A0@)Kl6^F#iZOs;IxeivBg<_r<1qpW}q?E6Gz=n(05uwKIA#)r+Px3wpeL%c7Qe{z-SYO4?C{w!mj9ua z@_y9I)dyC;IcPZ9dOGR!kaXPL1yLu1!HpRD&+hZmeM|9vlLOQZFB$5FL^NMxw(i6H z_0O0WUn@-{h37bWx;Ob+i+;q{P4@5VuIG;ih(hs8U)y$!!)F?@Jw1JPUpgNe-x=W- zzj*&;<(B4Rqh7}MFPe+h)W1^A{kM98uK3t6tIy44#kEhwrI*UjfC_TCj#kLtcH@=r zZaA-{WWVO;@Q_vVv08mEaWe9XskFNyywb>B%DYDMi#jp-*vjSgE5w}jcW^x1L~%uN zU5dKMU1y%Wc>?8N%$RcDHEcoXR;lGeUod}hZR1`WPnf%-dVC_OT6`ojpEUAhqVSpa zOse=uICYVzi2U^Yd3JApq63`Uz2M%Y2NyU788STD|<@`ENyqh4egM*w-rdt>pA#T+%YbXN-CF^2N3i z!xZHz`Zcac4-Q)FX9=mNCtK_%XR6~Rr4F>%vnVH|4z9D0zCEds4F3&Cak(LK9VxU;)hu##?_ zalS+9rHlER&cWf*^6+q_Z`$#t2H^d*N_pP{r>L4OhN~Wd*FeDMJC0)Co*m>`Nv>$8 zbX2=Z(5pEoa-{C>t#2+k6a9XVd z4Z+=rM>X=mSF*sA4sv=AYwdT|IgNhj)nPby^jaiu=Gtle1~i1<3xOC-P6FRQz9j5w zsK&MlF%pUuK^QN#d1@>7`fu8_ByKHk?$#fbE0yChnaGPAUUnfVyG?!Xb-1vKS@3lw zzpC`yQm^VC@$MiaGQn>B73p8~1842Za*8NcRzp?Q)u+R@LLdi|F0NZ3dljazc7ap6 zsN*qKIcFAT?L`)RtK2Jp7B@DxcP{jdPOJF5%xR>8)?du>7jn^v>QCbNja+|{7FY*k zLj;+FXoRH?vZRt2o=hbwCz5b7RWK^6p;g;@Rr%4ksa8=|P}hcZBu zK;~d7eNsE1-AI-IusRjUKuStrbr=XrEAk8Jz}MYK8U`d9d@3o?%28Wl@dN`WBrWFO> zqM{=BH}J_&uk?QbAMH$k17GT6S3`q=)1j1Vx$4^wPesIaI@s&eYo4gqjFq|wWj>`{ z`+!bJR?W~!O)ob0I81EJFAEX-N+=@uh~BG(qd>J@XD2Sc$67Xpz|kuAmGD82ByA|)g3c3gTfs7w+m@@mZW|(q~&oqWbN7`8*JHon3$AG09b1ErOJ-w|?pG5D~ zAB9cg+~%pSU<2*!UF=bbs-rthk1M|;1f{#37&Y^Kd%yz7(<-lQk|I*7+nV@J`ep}2 zyF=(s0L=Ii@%trnugxU%NriP-kP`4Cv10F-RZ_OTko!RgH1nCI6t0j?D%9R#UY#* z2E1Tl5EA`}Gjg0lxj7Tr_zA)$7kz#L+Mfix!#_@-v!(3c;c|Bbz81RNFRvgEag=nd z5$pA}+)sYEObSp51G%foi(2oBk@+yoj{a6 z)wAc=<@Pvs9>SbkXI9LPWh}AQl|LR6#8cP03X?x46;N6m@5JDBYB@-^K4FaA6rkdt z$L@EET`@Bf!hZULx@xSOFf+Sg!2^zLdd$_q2LjpW$|E#m^IFWgn66)k-o6pX(sqtJ zcp~$0hH-{$R=(b`+o{j4^cwYw-3R<&zp3t!+1}MLOGmn-2uzKXQa5>;+n7Wxk0dCHT+ zlkswlci{O6lG8i+yB12f!Xz4u#>|{VolKlK%YaoJBd1oPPByNueq2Lut9zaFIj$0u zE-1zs#r!fzQ}rTJGUH*Vy1Y)Aj@vb1jvryS8k{oy%0f)Fl+=`T`9*3(^fYaSWySr4 z1sw&KL{o)^g{nc1TGee%5|r-T7*WMtNEaLxeXsZQqUpt>Vyj%n61`%iixzrrxnU;K zh8u4Cg|+-@uFp)D;XB5bh;}$nT8bG`KD` zhD{*G^&-Uf#O%aShC%tdXoK=zad<4c-*s&HRPWvY#dLi#|_3bAPt>S-W@evwH8yb9k?J zZ%=RObJypiJy$V_m>`F#`-@%j1#2WW$C!`&%P9{PLT85hf@IpI&r6%wFZb|wru239 zeeY@O&hJ*t`eB&-aw#J-b3ZMQX{oeR|ly9pn5^cY~3Es@iK7C`x6q3vfs zF-}*uhe~#yzI9qPk|~n!21n1Mq2R8plPGIW66B!uDv5Z6*p|} z-5hd{)84?o2en>Mm?Zh-UDM{E#dnL*@`4!`iZ{*<*IfD)<=T^W|J=Rzbv0iO0t2%G zTQb^_-CecNu2+3)Op#3hl%s8`tLkNUg+dp_>5aaDx;u+r{X0B7xjIjDB0pxiH?424 z^Ug$<&zBP{7A$jctfgwD)i`}uOV=3Bz&(bO-Y3&E9yJH$J-5rBxkja!9mVk`QB zwcFI*6vsDwrBpU}c7{%Helu7ij+#*921-A>woyj#!K327Z+ssd${z9^F*`EkH|_WQ zYIAM8zxTE5r;OJ=UppDl9&o)*S8rHri)QT305z0buk zpJXXw_C15-)H~Jn-mk*CHQ+I0kx;eJN1+w9BsHx}k1Xyi&dlVjyUlLRam|{j!h0r7 zRuMg6oDJk=)MVCV@-1LX+3sBc(3&nWofiZ*w$?q=;y6bcI91 zCBs(~GE$g2HoE#)$0PbCp0*&kC9mMmmN z030%C#6aZh%0}q{O0Qpo+G{J=lgY;hkJc~9DQ;<|5z-)d>+*r`H$RGg_g;T*TM?+Aie|eyMb?ELvRa?=j9ZGBMl26oRu%6k50uHI+dXU;#2!Mi=CyRKPcRd+A60wNTGLieuh*+ihDq9($XW%{gx|qVPGsTVyF_LEs9n+ndtn zoV-cTk1Jc}dX$Zc7T??km_LMPa;D#!PEWZKPoAHfo9aPT>v*iBgewyZ!BzNGZ0ErG zj29(!ZfjA+edNdfE0zwP7%Lmg#fmAX=fql{r<2F_&M7jTWx5>7A6fyvY`F|flk=L0 z*o*HmsV+*ZJngj9-LfA$zM%I7KcZPCSlwE=Gi$tCI8#c*QHJgidAv)f(z>f7_MU9< z`AGkKWjPO0zA~?@xN2P&co{YHN>l}XxZzVZE4YJf4C+u@KmS#u`GU77SjB4FZC|VJ zQBq!`io~JC-lwSn*Y|GwFbMZ$nFEWB{hp%ayU*VDA9gRJS4jOEKTUu|wpIyMdcMRl z$py#5%0yRAc=^h!6$zC@pV^%=8*9sXQM&0q3|m3#d;dahg}*Tr@Rz%J9Y-}1F*vHd zNyFCvtV}StYd9k2w*UaEVQg*DR7;cQS(<~SWx$RY9GM7GkOe!F@gy`BZA$_`rKQ0( zc&ZCaBw|2dI|9;$%D6}rnTEP33;{)Uw8f&`KwuIEYeSVBkthNl2Lj(CplN~BOe6|L zbx8qW8w|A-5kmxlrEqwX4cZn2Cj2@iic0=iEbXa{OH z)_X1{*2K?V_ncB z3JQMX!8K;DOdr* literal 0 HcmV?d00001 diff --git a/simulations/figures_sim/figure_ind_MSE.pdf b/simulations/figures_sim/figure_ind_MSE.pdf new file mode 100644 index 0000000000000000000000000000000000000000..6fe955214b599eeab6ffc6bf34ec45caf2e1205c GIT binary patch literal 5964 zcmZ{oc|4Ts`^POIQ`sd6LlG5YEMtkth_Uaxkue67F{4>*+4pQk_FeYmkR>5&No8N7 z6iLRCEo+wiW;&#q-3P!!E!RPGBV--kUq}o|NUl$ zCSoYNOn_Q=goi5{NdOv>h#n*&Wt$Nm=R`uH@YJs|k`PHSMf;TtN0r0@*RBCjSSRW& zr2oDR5M<`#fdYb{2qFT5a{+>k5H2VJP=*p<0{qVg`G0Mo#!;j3C@k@>a1a!SB~q3I zpu(^1AQKb;N5Ug1=gI!pdDMX4?a)JEU5KtgN*CmSAWbxeNT~p%iJ>${1BJvnp{VyJ z5Gg%#2Y6?7+UOFv6ZXW%Oa0Wf9#{1H7n{o zBltgfs3kpKF>c)~YpQFr2Rr1Bt7cBME~|<@WAia;FFwL#_)k=;PV~-o9SW+dB3F0# z+Ef9WU5ERP2M3rczwHD4gL34N`==IUi2pdvo$#Y;?m+i7UzwV%8trQf4X5<9SLilU zF25-BwCmufWneXtR??&;kAqTQ@=TVBwkWWv2EIS>2VK)AnlqBbbbI%{x6)@iuRqCg%cjwRr9!VhY1}VK zY7-Z*JOA2Lhm9zENLj}m2fV%gkpa;XOBPnqHMFX|c%=Zw^c?Qwm1ES-=uu$ARQ7DS z@4*WzVok~E+ZMzi)H2-x7j!sOAj$y>H?n;Pt^8uqzZmjz08zQ6+X&R$T6EK%b}H44 zXTEeMCtRvL=G3~M>2ZK=qt$bW(!rLmb}Ado$j#@cb#?_fF{LL2UejEJpPV*rR73XY zHR*|qy>>0wQk*|`|j#t*2 z>_AVFiJtda*IPQM49aR!*4Sai@$i@@N~g`h(OHZ{t<}M}J;ftMTqNp`>Nubw&$^j# zfS5wtaEf!BV>8T8D$gjFSz=6wOz#RZcqO4qPZZD1 zS=o4Lqy`19y2W-%b+h{c3Uyf53rf@;z1$7D_A^0h^Zui-c!0BPI%y;L;MR8?b~)%$_n?isz=hr%W#22p`cI1lGMZ6RLYV0yO_j z*6UX5PMXf{&@-+*S*s@=e0yQuB1F09SlY1K5_{5uaN#9AWL`{1=cQI^y>h2&e6r~t zH?Y11A9Q2FA6FS9`5W_>-%{}+CP#RpEMVD@`Ho9Sm8g7(E9zsul;bzQhDxUpPXKgN zhj)?VO9@o6oX4RwtW(_jQAdr)OXJzIiw{jh^hvZPZLFkqtFf%HFmY7L}?(VJGxDXJw04Ww-*VPdA40zKq zvZfEsczD;;0_C_mdyt{>WBH=U1lM-Gngh4xW16!kQ_li4 zT*@K`SMt7DOC4|wn!tM3E9;V9>L|kD{zhBITfq1HvoaeuZ7YCAG^v+a^1(Ov=lidTX}!r>C$iEP28GFjv%L==5AmG*?qqDSK+ov^M6CNG zy{28|Ou@}4q&Z%nFO}a(G4V5ZSW+Jm*U3>nysq;wGeFMmHLE<) z@~rMX^1^$^il2G>mhTZ2OSPYM_#Tt8w{6jZb$<+dF46DtIdV8#D4wfYdo_be?rOLB zb1;f@6d)(+d+#;?#wEA{U|-!!%Mlkk56XV zkO^qzR77@vQMdU{{fDcho=R)><+wdlqzc!}H+bVkV{Q}glnhD4zh zwsOBer0yMS=p#R2p=})^?}XnFyu)wRvG;t7d76ut)=XpR!sgv9@3|)(_p-jr_IW>7 zhh;4e=NdaFVb|yKNA^c`haH}&-@eW4ZH#&by7q8-UifgJ=GirGl+$Ucv^<9i4=&The zEMo4rXVTGSkcdx=+RZ;9P}2R94(yb1wczjGjBf~msey2sO3z@s!hdvRB9+*|K1jJ`5u%AP*; z!O+NQH_QP)w9n6N+)=!Lu*A)~y|;E5J8}N9!PhEL9f?+NQFufxxoN4t>9Fg=y{62V z%iBwx0j-&#nRl?D@Vlzc!uzey8po#s{Q5s(aDs%JJ?wEM``4Zp>o})nd;0Cq-iyg( zZF1ZGF77CGr+UBoYb*?p zAV>7+EZkTMr~LKH|BG0tK=LOr{3ez^K?S6Xb|L_6fmA>-0m3ODgCkLZ1Plb}qnywP zb(}ZQR*LdXMiBy(fk?ss!8BAR`OP2{bV8bPtbP~Jp10HjIb8KANQU}WY4*w5BQ6*|VTaY#ss*WI_ zoPZE&6#O@pQCGifyiUa+EHw#81LcWEqNs<03@D@p`prvnl#>20UZURVZ(hny@iH@= zI33yFEZ=OD$QGS6;O1&V2RqdaOOU(-W@giAyH6tw(J=GSFit2wE-f}4Q~*tQA{-q~ zYy4#C7_Y|2Z4WNK6m6#p-l^w4tG$_1f;$0jxy}6_T~__a8foqygfevKSuqEl%(vqD zOzw<|i*a#aqCL4rLyw`E_Nb{*KfS9-mrmz59*arm+~sL*WC8xzzcj2G+fH+oo77+} z45l$kizR>Gov`EOd843WnI%$h_$KYCtbU)APM@%Kh_uB6!uKn-e%t9NR>ckJFlF9u zLf;H(ZFchFmpDa^me>RbULNxC-3I9vQDi7lJ3{RhZuSYUp8+f?CY_SRv8OAoQkRze&r-)vpNejRy*eL@?A|9_#E|tnu=7-;BqPlXJO|yMjzVNdl+Y4=%Js zfs$@$bQkLZ^-}6=Uvow=q^n1$?dE3evcC9PIMI-D_x&#WK#CPzkZndR6lhSjKA{O(V=WXZ3h-VvVPC@JQj9oeQxP6(+f=b*7-}306^_S; z@wC5LlU5Lv45@ER_MrD;TM09Kkvh$81yBtxVGm+sS9%yD#eTX&Q$4}^0yDc%`F)N; zI<(sR`vQf64biZKlGnCej5lt8jr5XEycOgQpLv*)Z;=lvcx23ElwEpl#C$~T7GR5A zU(@Yj?_l3N4e^Q+Z+48Nre$8{0RMc=Jo~1?9yeoXJ~9>@eBFkFrI4?RCa^mwXp(@xnS>heqTX&aA= z9+n=Q&v>76d}3RTW$oNp>t09gYWlGT99NCc6%yl&W&R@!rhW+_k)JrAsi6Bz*ZcYf zj;$zzmmUv;o<&$`D{Cklo)c*iF@`x`fQScQ5ONnOAsGinC<**IEkU(7`eX%_a#5M|mhLK@Lr zv|dy=1(hjg7%)K>)#6-3YsI;vqqB8tb#ip#-rnXG=g;RGq@Q2dl-@(^k@l{dOPCv) zw=9Z|LPjq?svMmw^(kE+)fss|syXthOlHJ?WO$^$%&Tl_SPh+q4s)Bm^=(k0e4WVR z9^ZX#B`Z-ek~}#UCf6%_Ue?leW%%4c*4WV4_u;ogkA{>Aw#+jBSkBLW)C}DZ+b(1= z@6y-GtAUaW`;ZZU7Y`EpN}V>r#Y8#MAxWfht1+}u#`l%4v2VEVvhU6&^WK%i3y1uB z&3mSdN{m8`42%_w^{3V&uDsxS0gpJ0sEmt^bBu+YA@Qn6Tgb3T^~q!9THMqjx8<#! zhaB*|T*$Z5`Z6EgeJ4&rYUFjn-=8C&|n*Q@X6RZW6Uc6(%m`ROZ}>k zVuh#D+~(LsyY)A}@gF=q#kv`~G2I0|uQql!&XVIA78~$(OYkD>$$E|YW~_-9+$;W0 z=srEGKWmQGgRZcWGM7i>>-{eFWA?(8ES2vtF55cW;<%R|`kP+f8Hk+W{A#*Pn6m7b zpQs=8dfWdA7d|B(SQ~hs@@MCxwV|C1nhPpZ>uO65_P<`3$8df0I%`O8$c=UtArF|t z>+SnZ8>h%8$X?+g13?4J`8yr4FH*w&1>>1nPgF7ooiE7Yte9X!*)MdN_*nC8-PfrQl2EObO54mB|JV<@Rg& z3ZM6czufSNk-RcymDRGl%h4&4C8EVKco%$E;_j+qeimcj=1@>koo>l9%!=d+XATpN z375F~7DP6@&>)(8QANj7|5J`~`b>^V!gsT_(`F}fO7=>|idqa#=zqxF7FQ8%R-sQ# zNV{zYV=rdjm#&l9kdCbBsfn&B?9NJEwu6WOIOI^!iJ0o9PT7h6k)W3v)%MaEUs6mT zY>3J$?Z9&IIZ`->hKcX`-50<6Z?xJ6+qA<6ZS!oao;nbV$Zz+|2Obrb`&uqlO4_Kj zyu$Sc*M-%g-2%mGC9i<|8YG?Jh6xsf84sUq1uWUda7W+hl!rXSlzxbMFE+05482nP zNMBIbTZBiqLie)H6mAaNvYXs%nS9g#ePS)DswW@QZ_#7%d2H#!WIex_rDQ)y@Pj~g zGl2=I^(H>`YU;P=MhHve`j{%+YF!&%y9qeTsIG3&pQN(|i?h_fQ{lW^{Qg~&PgCW$ z_3>eg5_3zN9c-n;YOinWULRvYM6`dJzv8|CL{ok{uy?PqLA#)=cHu?9=YWOaD0=_i z_}*TL3<*?)M|mOXyF*8N_mp?w@W)q}a$HG$ssLT&g-C(G%-!X!7uO^2+^dSO^>^8Y zyED}l6ml-weNr4v9uirOUlO=>*1NX8tElA5o$l2g!C@5(g56i|3FeNw4>@xU=5n*H zC6g8x7G{T$&APs;S$9S#0I z`Ml5%L}yr^#>V*%T3w?47eT7_yWR)dV-M0xI#n+p+3oktPI$F?A4p4aUzPi5w|OvJ znR&Ccb^K^(1+_{X-#oPBt#r0eeQq2`n3h;_KWa+z;*@DveX@F4H7#KN$C=Ibm6BM) z+yMHWu#NqHp|;}R7z+5y9K3<0_;6?}#T}$#>wi|3XzXHAeASWEf#3T^VK#&U_;Ynd!1d>EWT_hThB)L0d zP~Jcg5sh)8NbU$E9)|^j9Pub>AY~^4iKLi}0FV=!l8S&P06~&i9MK8o3=l6SFujlo=?$2}G_jTRZU+?Q9XriGd4wjGx2!_vv&xiMi4?AE1 zV4x%r<8mFKqyzw|V-YYs5`)%&;SoR)4F!lKL{d@;A`6z0l9qyq0zifs*Z=pQ1rm=U z?lJ>vV_{w%NH`8?Ou%~)@WgEM%SEg>eUhOknN^98iiFUErK>+3n*wLPPZzP{E4KFhsq!OaOSRs+&+kj0juSMi z%iq@1nb2K}jHIFb+7T9|^qBlb$u$uDD-Nx+*}c@+uEGmY1^g>kU~t`nkv^pFU2WDjVYe{7u1bCwANH`v-NFa>wLEEl1poY8kGvqbe|7b z9nZZbyp$ETO)<`7mU}9Z<;R_ul}7SkB9x2Ab-^t*+_*Bo77F>ZUEG(c?<`a}%-I^unvzE4-*y``EAouCO52 zJi$DnaOQn-`$WdUsT{QQreexj$?(Xr{Jw#>2J9E zSfbke4LIBV4XD~}`BUZe*;pv6CfV7F#EL|B-H-U0svTM=2ZPySZG}{-tx(6pQb?(Rv~+{yIDGn{lXotOB~RoC0g2m%#|) z%MNvqd$%NJIxfcE7x{YW?xL%VM+E6h@l^QZZ3=J?l~*BSVlTMyjaxBOSzx6+eF%rg z@>s%M=;@40BhlB(IpPGM?Acp*YpcbwOVkG@c^Ofjx!}~S1L!d88M_h>0XGB)aZ36& zf<;!!()=x_+0(~#>%N8jXXM9Z(&Efrmg(VETnQ~@2GNZkttVyBbVohjo<&t-F%!cq zThF=Uavx6PgcpzL*WDWKNsUG!t+=M%1=Qp# z#j-iu^s!t_Pt|C}rij=iu_#vNENF{qZ{1v+nvY!^fwyAQ&sF9K0MfTJwZw|R>|*Y5 z%ssjfoo(|a*~E&(;Du)Du`Y=4%teY$))j5iS3(1z6`twXUX|jP_JOVkx!D*Cu61Jb zP-yt}wjvT;WiVTlI?7VYuvA^*k!E!~PS;zSerfRCvESlboVcYIS1J5Tf?}dtoWcra zC(8%>hJgz~Sf{g1$V;q6?S1;4Wzf3R(d4}DjOs}bAN^o~^t8OrCRdv-anC8~O{(!q z%u%PI`n3f6!m2ibL#dcWww%NpqAu**)1O(=crUiSxzOb_#DdDL2x(GiJUuTwk|BL+ z@LIluulF=PTt!KMFM)$g)6^uwYE5Enx_TyL#o**+K&}^;`JVA}l?fTf& z5hIn-=Dc%&!)~*pK{WQq_1YIAHO{4OKh!!GdRw<+bo)%&@@&Di zOt__&p)SXT$S%DAO^Rt7rUu%HDcZTClrQ=63lP-F|w$ue@YE-MFv_ zM@Twwi`it7WIR~H@{lhv&p7l^wkUnd?k?TmpuND*9c}ZSoQFo~Qfs&b%}YW0n8Tph z$_>oMHn)EFmDzkj9=+~GrK3%@bjP1H1+F*&twBToyK@xC>d0?LY`l?(WCWh^UN}Cbu0d-*pRK)8&93+5w;9gu4Tmj4Wt6;m%VrKGhb_@*%TFx62OEm=!p%mPWy+Ma zAC*+x*jEUgid;!u!`c~&giSVs8OH`?S#s|f?*P6C;kx;<)_b9zS9+0c^RMsCi3lnm+AA)9=DT+%9u=`EPrq>cdf$?kB!@?<7PpLx z2q3ArR z2BnJ(x%Zn0x(JiWf#Q^!lg0Jn(TvLm>-Ve}UyYs&H90pD8R$=(_>+c6u=59u{HCEl zAPA(7bj1Pffh71b13D5R2}2;l4j2eBM7SbhY8XGDy(ICUlsptD1(kIC8!wS~=QrOF zu?%jGzys|;L@*>~K=|Pu0U#|RD*=_1Kw1zWm~_Z5+5&0%;kC{2Bra4^A{|FeiNavb zyAn``6K7-kn`E0zQkdfJ4&3lCqtKym(n*%M z1g2%uYq>+l57n^n(lAXfJPi@~6jq>~T*)6FMQ&QTdWutH#M_IFD_z&MoO9--|3+{2 z4DVjZjl8D*Y4?rbu?Dg`#}QPo4Qyz`&g9#$%`SJu-b!$HrXfGGNk)kx`{Y$!t#)=_ ziz166Xgm>>#k$YY)W85dIJz`^HL;cKB=2s$EkBsdBr|dO+x~b0=OLJnfGbhLL>HT_0 zvk*K2uN$q>iCL)R3^Ia}iKI+PEaA*uQR46v5y(yPd4IA`I&ZIS4uNdm^|SUccJ#fo zlVA}jisck?Fps{K%9=3S-*32_(D6=^LH5?gIq-NEr!Ds^mdvgH*p|)Tle3Cnaa>Mb zPSR7{vsq*$)bThwWzQ$wDKd1OQ-gQEZPz*^i=OORA>#SOVT>n|oy>8S+@$eGOs_MD zEWWClz!2=s(-7oj);=fZez|mN%0Ztz?}jMo^TuHwL#X<-pnkLF>5WC0-*&283LdQP zB#U+nDAZ_w(>LdJaAqklW}lblCxPcI^RYm4Ea;P}{TtR;sw}l=mHoVX z`;2WrA5GM!$4%}t52V{rJmx#E62e0!a)}v88|Zp@U?Z5WQ=9UjH(@X<^Zrr)&7Z;6 zbp}7*oD~R7f@^C)>R3$szTP{wqmTxYX{u1JsBnFzWNkV1qJ_DRjPVmCg{nyGDQ{=+ zr<-hd$Tff*Y+=tIoV$Co+*$YuHQ@oXbOhAv96lWWNm`CZBD}}>)D*dyBtveP=qBKu z3R7g%8zy$M7(7t@4R=+P%^j`|+E?AfR_HNhqZ zcj>x$*`wwjrsrGbLkmhwX-w`vxiVroB61z@o!L<9#>3vhzRzTMF$K>12@+b?53&a? ze6Ie?yd!tWP92dCPXs5O3pL;tVy~vC=B(x#PLhw}>`a6eR@#&)jB&5V(|2H>xuC!= z0D(+_EP+&tNx=~p=kQ)H$ zi={?_M}|jgi+zh{hEK?bS?jWNt60fQ zL|5EOyycPzJxAbFhFD24NcPF1WtwlOLA_;d-G-d8y=?Gqh@sT9XTZc6Xtk_9xD?C< ziRr!Yj%ul~H%5HmtkGGu1nLAX1D4^`tTq%P$!S69N4Bsv-&k}$CqH}lB;hV!ued)4Ke=yn|-BtSm?mL`&o!8}6YxDb` z5fKFuZ}NL#LxU~g!OF2M>V!@J+|%v8ubQI2e7TRp($3gKtL@jI@dFNyLj8OC2|We= zo!k4{=a+BQuhe55RvjOs&(vzvHlfXY9etAmBaSE;gBf$RQ@bLIirq_=Rr}qY#+>*o z7%JYQ+;{bMMKSFk`WxE=2V&+}7tPmjGuHjG6Sbqh-TfaiQ8S{UHKBJ-peJ19cH~oG zOJT(-T`g(h!K#lQP^pfpGT!XHsoAQ`=cVKPX7^6xHvKZ)vTxMQfv|zK{JqzSZRt_L zyh*f-bQQFr=U}X+OoOk&8l2zWOsA^gZ{qLa-_Xd?(0v$Cz+S-mFuUMdmtWW2E**He zi*=_{{BSI5JE03cUof9NSHy8BHdXJX)OsafZuXFWUeiB8LTtm)eHJRKKf^uYS~%ld

  • --5SaIfdJ` zIu6=Duz&W#8UJ{>`_OWr~u5F;Gywgqx#rven?d zhn3$$R_znm<25^Ep>?PyA7Up(#^vge>xCtTy!w8E9Qx(@m-S{aOX%kPv|j79Yr&H# zHHc^L@=^U(@2qCWRzFPDUJ$XC=m+tB;HhfD(ZIFeCS@pQe0^yGvo@_wc&1;aZ^!8{ z;fOGK{(L2vp!Z$pmbGDEx!YRdSAz#8{DT8~HdV9t1i6hFrN*@uvIlpf0nehu9p6*1I zVv1@rcqn27Vt7Kc_t(C+sm27}ewI`d?7r{lN%Oqm5$lS>NBPmTA;GnzRh}#7{c38v z9v96A_H69&4l7&X92Wg1XkW)YWX&^L%FDTuMp*gsWnmcJq#v-66Q_(T2ff5>q6Q|m zmxKE6f7$zb)&Jx7<4U?djwB~n$FB_wUd6bUkO%WLN4yHu7pN6uxMLbXijM1?xw1iX z@keRH)=d?;jc2{qhTa?}&#s!j$9&YO<7;}`c<|Zkuza}|hwh)U#c>4JF60h1#UI_< z;|h`fQR%n>RKBvJtgz|a8lecEsuaG8IN1q#`I+wk))CpKv3>D_c9&4FFzBk&zTdI# zSZY>L$JNUx4oB}6CVXG{9YZA96=i-p>>LkQWM6yoYW!qq9kGEQ-}zz9S>fiC@zOLD z_ep%!^Q1A;msP5MqjKZ&)y$C32j_OS){7F2^Fk>1BDatJh1&9eVJP5F<53e$^!Siy zqVq_?*8i@ok!V#k4*6REfHaV9ZU~~=NU{^{fzmP{Pb8Xv1Ij}|-UJLDfkL?90bprq zkSm60km7JiAjlmH^C2=W3{D`SE*y!46Fl8e2tObQk3_i=B~KU}i$McHE?5L9khl{D zhZ7A<0LT?dOoc<@fFKDp2Jeb+1A?%>ii8u%ABBSbP4^(6-CtBR zm<{&pWE_dy9slOM{$l;#ApVE-`fCyZnG;;_znoZ-NE|VYV4lR1h||HZzWfoRgFyKp z@JKie0Q%h*AgQB&cWV8x2seNv5DW%L{`CN%GBQ#!KsVrD8ieRalO7=YFAWSO&O!gH zL8RsW6$g=l5{H|A#6e|=^Tj_jSxI7P|Eoztz(nWypPKx?G#P2hf8~&YLjP6^9t%UF z5Llv}4g{Ga0}#af0ztZHHwk literal 0 HcmV?d00001 diff --git a/simulations/figures_sim/figure_ind_num_select.pdf b/simulations/figures_sim/figure_ind_num_select.pdf new file mode 100644 index 0000000000000000000000000000000000000000..027c129d7d1a7ca9e87c0c65f249c983b1b1a4e1 GIT binary patch literal 6174 zcmZ{oc{r5&-^WRmDLYBTkbN67*0Ds4vG2>+8DlV+g;}zcU5Gd+WgjI=IYP)5<)D%^ zB+62j$S(U<&*+@a?>xWrJokV1`~Ga-&o$RvukTyT5(bw8%PRrIA}1rKB6}kTT!;WL zPytBrybRFP1c3C2Xe1d!z{8MaG*A+z4pD$8C@4Zy!ODtCiV!IP$c*6i|9-Q@kg>EZ zYoGxU>FryeKF%@#w3fyox-Srv2b(o^@K4f1Y1fr-61i>*_GVKH)IF_~?7#c=Ez>P3}Q-Gv(%CSjlRw-6-H(sM%4o{nd&<3&15@kofXHzWD zAZ-0}K}xAJ^}$fd*O>=J+XEAg?ms4|MgXbKR#9sB?&w|}HH?bCGBJ9%)w=$5Y0SJu zd!~&VNH98>+@xPy;4NQ$j@%2}{_>lVIj@FtQw()mBVA)BSaoi17fS_;M8FbLisoX{ zZaux^yLlthTC_~!JB-0#{;uB_lh3A#?($ur@+~(9Mc0+v3Bv{$w_c8&mF|h5#L><-50@p4G25bIIy**_o-=F6^cg z26T3n;k+NK=#oe#+4R@AAz&TM1v<^d$ME%rr{u0R9q{R9>#Dly47CvCq^!K0xPAXA zf=@6GLg&Q;g9B!GG;{5stvTGQ2tK$>4plM^bg8A`IL>dC&&#O8Q^m&LD8}&I+s~b5 z3cFgBzB)akk2!AnSH-@82Pcs__AL9y6Fur<(=+Vsrc(In-8kxEqYyi(Lg;J3LYE9x zzqOX0Muoj_SV$F;|KtH-iMGFaV7N+XRaP=RruD5r^w^3XDuO8tCU$@MKtX2hQ?pO8-T(eE-7z{s814~DrV&E7IVQVVvyxxML%9R=s9_AI zKa-w(GXjXt#`fHf{L-1mW5tpi;3PSq!O$@o+w(%{${5{?_~FlQ9z@`CozjZ=)NRtD zwmFBT{rfWW!K|iYP~<@$uMkY>l=SV((}{Odgmd@VU8u3mw-1)yOK9{wc@SVvau-RQ zx#aGdcmME%u%5+&)5y~wA9NP<4kh|SLbpv9q;7cel_7!)HjjB!o5yDk$=rV%qOarx zItgEh$-p#;2;SdJpkkU{@R!jxx1c}nn~TlEG<_KL&1F|CL%<3sPlAg!FOv!=x?R<7 z97#hpJ^ad(qaVC-vZn-&)j-gx1ItZJ@bwOf*VUlv;dUvUk5 za!S2Nn31I@$6iMW)3Shhz3@RUFb|-MifeO=%UZE7Q1G5hdRO;uk(HrB{WLQyThi8| zo^}6xFvIPSBy%_ISggZ(6k8TL=V~8+xjul}24`&w2ncw@a2Y|IV@Y}Z)kcTu%AER~ znbBle?vqxEajT==cB1?NZm}<$oi|S7sb%-|GhZtfmeTK}ez!4^n;C;GGqDDnuREEf z_D;LeKO45@fGx*(yt@;X(a|IlR9`3(Kgzu3(Ny^9#;8mVk4r+%>!vr3?S&sqr_EKW z(oFQ(>$#%dxjgEIEqf`-G}syS6RW@n-PjH8lGye zMPpi6$E5VeQdwgLSjWK7t!F|QL=TYZr>d2XI?USftg zzQIuFrD|Qgh7UL+@Epfe4YAidEJGFIyc^Nh6cpv$${FX6u!SMfHcqyEB~6%^poI z6PahcF1B4~9GdQ{p1mCLdzVy3?S->>@Z_DzRB_pwia(UiUY_xLRPp%IXi)KQ_GW^- z-H#D@CR9+rZBS9rs=89S#;u&Y_ku?38hv5|DDol(zkj}JeDC_2M>Szjk{+@#}thL`RX&{`!9S#VD3= zQy-8}Zy#G2Psw@vu!`enkoBj}B`&E0#=^yj4K3HTQjf7BpxpuF@bQTsl&b;pSA#e{ zdR7)`Q4h3G5%dNqS-1DC4Gi^&yn|>szNH0p{Tn6LiuJu)5Zs+Q))#87%3UG+`nT1o zPv?~c`KEX&uvWqGIg|i2$RK(mKNB>6vPU$~7RGu<0j-;^Y@pKh<^*d<|18vTZgwQ` z;{sc4;L7sE*m#b+nRf2P*jTd435!Ly&I26N!jHz%^~U``LNQ{0zjuUS=rD;s48vQn zR8T+XH3x5f-0f~(Qcm5MQ`kQ&C^42RGU;YG}I8O$IuHXgEsifDR(N0zhyYp#e2DL2w8V zd{pEon2D9ZI0XCA%%I^(4yu)`lU0m0B$Fevmh5|BC>RX8M}|bMFM& z+Kilu>upk{{VlL3-0t)9wLWIZ(qxz_FAZj9H-3>qC!zwg^@mxd7M+Aheu^m2ORW@1 zxK3|Xxp15hHW=W~&40(ptBh~rS@24C_Jq)Om>;#Ncg$xcbf|$Y8BdkWdK8R%L>!|a_P0piWSy^VWun=j>yQ{t zzD`olBzkpvRAMR#%GrD~)q{_B_T)}Iq*)vlO*V?vc}bYAFN{U{y`J zFbN*c#_>H7(HK^Pswv>)aLtl~;jRbSY1>!sxW$Ao^TC96TDK5k znJjb_Md+H5y*M0(ht73@-m>v9uG<4dm++*S!WtSN*l^9wx@}U{N2YXi)Ww9J>L&%7 zTiK(shU>Xs>$PqkTbV%yt>02hBZKwaRPo*+MXsr@v6+c7#rRrwE?mI1p`) z2i?|(brzWdP4Cn=zvhZ(%+!t5*`a3bu(f`FFj9Z##)ln_zB>-b3Wd+X~3}Co%l90BX_?y>U$`n&h-21Gos&5Y>FF5Mx*gi2FyCfNZJir6|DT+IV9tPy)j;P5$dpoMkL!yLS-{ z9Etj*q;^6+veV=ED801;YhHxZDxgb;J?8prb{^|EGEncez?16^Dg4t6jCvfF0=G|! z>FF9C zhF<4;c@tSw>F~SykibF$OFOZ`6AOL{xXON&^D3i8a%l90NwWV_HFpg5x=U%g<{Hv93?z1&Aldiyb34_NJ9 znHl6)>CHaqLB#@EZ>9E>cx`}-$jX#Mide&DLv({;$jcC`kn15!A=?|wd$Nb3hv)a2 z_H3BcnS_}bnaY@IS=M4@Te(|ZV-I7?lWrz?-c&hD;nRZHE3zu|sN$8I{d83VR2{wh zJ&4`hs5cNZ#W7sS$Z3@-RTFS2m>&|?eZGtFOJjGOT;Cb6R7XCCc4u7GeC?huj*yEV^9_9!>&fM7<2!&_FD=WId;j$1)(4kwE)(^o zvsZdU@jm!hwI5M|19_K)JfF8TzyBT`T@d~HUN^G;?F;bR%Aqx;#FqdR&O0|yS0fl& zc18Wm#?VNMpSb`W|QjY>xnK4u7&v1wXoVIymg>!VDi=I zeFnBrwmgGduVRWH`aGJw)a&CmWk=Gy0`tu&DJ~DLxqx=*-n)+ho41qS+T!;9?{^@5p{>LT%<{) zQ)C5}2{XDMQovKdbw9hn{Z-Jb+pi2!WuAzaZV3bNTy2zBsHuXf?8#!@J=xKEf6bPQ z_tZY`iA?DSC(6qXIpj3&>~OY=<%k(@zP$myA$Ma1dM}5mXQMx&u*Rgg4!bPB%$0Y7 zaDtGw@&+_(AzCk<7#cVuJGjlS}I`y0Fi!-*T@{0G0hYFj`PnmtBZb@m0H)%24 zP0a|fHRLE_-iOpEu0!Igx~dYY9(3m1U2;(o18^#%^+pn(G`1^^^bSU}!JfE5vZn6X z+*%h`Ro^zuBjza(JnBcjnRQBh3tfNi7U|UD`qnw$x#Fn@xp4N)o?YLg!qO1LLb<$? zR`W|jcVtaW4aP5AvRYmibgf?A+tnh~{%zL%%FVC^=R}?a{dQHAI&8_u_z#l9YIT_9 zqDN*zCP8AnCS@iv#uJ1u_~xDTZbZ6!=!djwbVb)aY_ENn{pX>DkE6BcB@yzyAfbhI*rdht*$O!#;<7jf`gq z?N09Qmdlbum-&}IpnUWAqos2qD12b-CAO4MTzgmWSe$5_V0iY<(q`+WxU0WaBv*&} z?6~4i)D%46ns*t8zDw^HTS{IKym&6Cy7pCJ@zmAMm2IH`Eqjv7Owb7PA2;rEQO&LKXqbXNS*0ClSZ6CTmwkMb(t?u_1a{@e)<5SsXVXojQ>*q>x0zK3s&z5v$Z6A@2De*H?(#-ufHi_KWm#mOzE)Fbsng7ab8P()uSa^12tMHp^g5r z5%z3Oco*3o(*s+-@X_Fvc&G$O+ifT4z-Z`JW^uc=%nz6SuIZ7$=RpS$1s)CM?=Bk$ z1LfK7CC`U{^e>}V$io|l2)=S}x4X}*!bzXx7H~frGXl93>sKmQWVAEF=626+tSuMc zw4jDDY{#tc{|mLDe`6@%FS}D8PjePAc$(jNgsuO1LtyZi@FdJH0RVzwyuHyhkMqdH zbOtIZgK!u;g#?7EfC4B4G8&8aCIi4qN+2%+&6XvRFhGzG5qX8ixJVS`2z5~yB8r0Z z#-f9OATkE)MU!wy6p?@jf;@@nqd;0F5{07KrT~x^hSrLNApt@1cmmlA?F|GGe-4SF zkv|rT{DwAp=1K9|9ijN9%_CS($W1?ympvdw;V2FA)FJ@cnrc0NGGH z$v^$yBawE+Fh}BOBhhXLKlk!yj3F9(1x?1FkO0uHy#S9k`cHp2h=}$EC;-7=fWqGo zP(@jpX6bqZ|JEQh7yRe};{VpbDztmh|JESNP+Ix_(p1!Fp7noes!-a6=f5;H2<_hV zzcmF2_+PmS5a_=&Wo5{}HC5Gr%t9t2F<3N_X5s@uHkc4J?Yuyc5#F0XyPX~F17uAg dkb$%!f9{4vMiR+CH>0ekssa!b)3<;F{s;9a^-ur+ literal 0 HcmV?d00001 diff --git a/simulations/figures_sim/figure_ind_summary.pdf b/simulations/figures_sim/figure_ind_summary.pdf new file mode 100644 index 0000000000000000000000000000000000000000..9dd0468f46c4def19829d2ef4d197a5366777bc5 GIT binary patch literal 10046 zcmb7qXIK;6);6MmARPfCAOYzJAql-IO?q$ALkJKF1V|`SmEKi)N2N-UCS7`y-a(2~ z1*9WYihRLyp68tRobUbd&UMY~*=yF?d(E0__S|dk#jYi<$Oq;ZBw>HC^kVtN;EPdH z7ZNZ~0Eo7FN+Kyq0+MqS*i#^_m_M zi^5sy03W-+oa~Tr3{cY*>*R{XnQ6J8tzF>=m#eE#eqnwvPWERm^p%L4L|U2z;b?v3 z1>|pUfFQkRP6!}K4u*xH(6&I37R(lb0YY&KI>3J!i2RqqmEM)M3&IimPj!$S+7XNE zVt}H5%t1N`4BFKNjvG(#KgPRK_$wT02uEA29Z*P23=9M*B2ie}9e@;3xZubm;Am^a zmERaFE@loS9%=n%>alDhjt$2p`B_*ez9yLu(?()NyF3#aVY@ImMfq5Hc7DP{3bDlb z4jCn0*k-r2n?B-r^R3r`-seQNaN-y|iz+D}OnIJ##^uE>dPas5BOL78kv1*Uo#r5R z@!R9{qd0_qYqaceyfpDSdv3=ER&Xwq!KE$h5eJs^7?D&K0>Vs0M$jfO77*K=HnP z?Y`Et604Ykaox`LgWq4hA+zn;nwG_!E-)zG@{K#KK}t%hW@%uUxKZ*GJizjnTLpuF z0pV17u`Xd?$Rq5o)ETV#4w;Tr2oICD)g5^Ay`@z;>1!6)>z&i@ZZJx<`InYEwWP<^ z5ySh-PRgf1(wRPbzATcS-+9kt&3e?kIZM-UM?qfE;nfzE(u!bDH$*83o53i)elQhb6YK`*gdOYo zp>w;nj&nu(J^OOgIXSdZvLyk(@F+KPo zCOS{=j-aXyOi=(%^YA-kza?$WmZ5Oqmpiw4TLz4oMA9P(9M9rOvs`b#4h>$+ zX_H@k90_nd8y}%xf{8zs>s1V0d$gOgY-J}H*0A6(UycwUeC%#(;|&m9pm75nMOI(% zCUB=08ukSeVOGGLNB-454-&=~xR`MQXrC{b+oom4*Nt+HW0dLB$EpBUbEs%FZvQ#tVx^GlbvnJhcg10`mZ1#)x>EU+y=)TJiH?NqX(!BNf1fejfpLfO=0 zYS?b_yLYf0Uv}hWeXjN&h-99a4M@QPTDWH`(T@jrs&4Z$LVB};%nkG%TLna z94C#1R{o+Z4OY~W5%zt0$e(L!kCyI238d;vI>F}jIaTNuP7zBH@4oYIveg9)9@N!= zVN(2ROE8$Rr?-#>nC66quKz~5TT0j-8$U6PpL=>(Q{lkJlkJSNuqx&${$s7(B*K}* z2~Lkt`!(K;QHf`tpYgd^-BC+z(cCfk6nYFZ@ObK6%U5)RmY2vF){!>~-N3vgH!$6d zA2tXM5K5WNb+hTHREnvRKK@`8#9k>B5dX$1sN)Sqz<7%pwBp0FyKb{JMAS{KiHzY# zyhJzmc-y3!AiN*J$t@~cWvzN4g{H6|?VbJhlJ@Xhv}>WI5XPb*8Pbf_yB=hvKMbuD zju~d20LTr_Pfa(AhFep-RtzJF=g7LO`na^c4Bmy;80==Cg8;&w+}t*;w`}g@DMCZ& zxM%1jt}Ku@#`1=o4Eqb`nSwCU7_dz*Ro94c@^7 z&+mzcsVv#Hc=>Mk(bDUN*DexZp6)pcw0*D=jt&A;qxHc!!y1EwaKNnHQu|=K*dn1K zSfnWV#rvn|_GyEhLf_6WzsJu)WV{_Tj}Cr64(;CYlTnCN9Kt`Pu&Zm4Qs~TExfuNs z(VLie+$7i=BGWLR)MnleNbef!yt_J$I)Z4R!7nR1YlTZ1UO^oWF9`iw@mW@?44;QS zdnFSFo%V+>0{tMIksdcwhS{cNkMr((=jIFXS}v{!JU3CLMSq&IKaEvcKG)iZxnF5|qXzGU zt=w*QMb=xD2K#&2xH^0Pg085wV$gwL1ERtQE^;UMcU107 zZV8OPfP-yu3qkL`m$@^A!nx+UuK=Cp62(Bz^y=5Ho!|Sby@Sk`=n_Bo-v|DiwgqH6 zv%Y#E4eAB_KP+89zw3VPlDDNF!eB3{3|%xSs4%J;P7!cxD$@wtul{A_p`AMUh+Ccg ztjz{yv;aUMD_o$K9o6n%R`r}oRj3E|DF_|P&JItH6tQm}IbIhq6F${2I%X0c9xrI5 zneYjD#%?(7-rA2(({FH?Ub>x(_Uamjwoc>YSL?=GcGm6e*0i-lPBlELBR9-iPw5;b zoX<`d8j!F6+zNUl(NbA?lK`D3)dBHP@gkvFY$0Xf+__z`uqBvp^e#2rilZorFFsDZ zVw^p<($(5l!)QyVkBrwQU>w}h=OK|E3CLJ52J}@5htMSgEC@e%1oW2LO71~T{O8ql zu9n~SVBBI$BU6zB!g|OjNhYSAr87=c5mhXNWd@1CdQ8BaDlgn^Mq^k4lJ}}I173>W z+|7TaIzu$?5*`U+lF+D%Xqe%1FU{#fIo$1w1YPGezUJoDIpa&G3K(ovvUnC>17r?(no}9ih_S2z$T$tEqsZ#<^PGmVh$uIn!2vwq7~dc0S0)KxLp% z$y+sz+kJsT(7qK9wGwFF(SpW#U*83TwapTVr|3m8Oh|DO42AWlLF0`H z+G4Hp9y26~btOz}_65@S-Ro+#47P;~o=1Z7n5b83UVw@DwVVU83|=xY?X;8G90?77 zv9#$72fQTVkVzUI6jncf(3ivXo$<=qb}stc80BTH)|5;MXjk39EIeI6xoD%0XX2|C zPb=S6{x-8754BDx1+t+4BlliO$-cLaNsq^B#8Q&Oh@7Wsv4=oToV4WA+=YpEPc~)z zK1{)#gRFDOZJ8@GdOOu4PSd%NL=*j)&zt$1F2~{c!Z+tvnmIW$a_fYdZX=OY8^BDf zA@0%XeLh>c(A&0^rE?=DQUl!J< zQ&xYP4y)IH^<+wC!)t9#r@!i<$r_m|>x$>XA#sf8qUug9C#l_uLj$!OtMDEDjpBQ% zPjklSPMSM2=P!O#suphzu&rFE-JL!3Dr7C}Vx?CBo_DuQT71x3&?srDZl11TNl}0b zX527Yd&+E*)*tVYPzHIf->5IH*V)!ACijC~*s_RJN1_@`dQ-&bLz^0>>tz^~r-bgU zB6|SrSK3?Q=jzI?ZO`989%^GkzdnC!V>E#<34oq!vPZDzOZtN?xDx=p0ZB$P&4hvR z*EYA`>8wBu_-{q)n{1XhPj@)t*`xCsg*(;jHk`~jq&TuA)bz8qA^y{dD)sTNh#QsH zMBAre548ZO?|#l?j_N=K7P{*(&8i`BHEW#;y~LB47Q4`f2kCLIoLbE#CN#M15@;0b zO;i2-#cmSAk=#zO+k(AhBAtQo3aIcHfb6?V^6=(3qt@g#_vQ{o332V+7MKUs8Y%7G z7o!C>3$@^P9EiJAu_V@8`FD0yl)EV#1eJ)1ZM#!+hS)-8H(eyUI3okav*4PP_p_1( z$qbFL_z4-|&%;zY6JJz(Hk*>(iP9`P&|s@;m-i4jlW*8QLJpRop71!fN`PAiB9J){ zJAwggRQo#EUDAkQvnXi9{A<#pY052C#Z@0n3fi)7Y~IIlbgfW#OTahFt88yZJ$nCR7>{_RIjVvg&m5TM17!|LBRAa zOq}`PG4r09^P~m_`_E&YdIYPwp9FTYOSe80#ODOZAsM;nf;e=U%hE522qv_Dl7&}RxeMK+R^R<* zmHP;g@Dzu}DXs6)twG6tWslxWQ;<%%j6y?7j{@5UXbssK73#DQK}*N1OyEV&7IKad zl1|Yi@eBoF$Jm@4BwBar3x|W1WQ0vrw?V-tY;Me2V2l89MudxVd_dO?5}B%9C260!Y)g(R^H zh4QuJ$6A!#@9)L!N!%ZMD!fHC7%liFGJNctaDidF(fgk*k^1ZR`d;U+Ke~BD@QkAh zu2^lCWm5He?&Z+ToyQD@h5GGZg!|KnRVqUPx5lq0gDqFwb#h3O9O-0Q_sOBZcJBvW z-@Bj1Btw0_=uZC6u{*?MowBRpNoC^iO&s)c@}nFE)*VnvmEcM;ZXAy2>pTA(`C>h; z?@qSP=g0&f)^h|0VTbKKahB-zS9s8)UA8V#=bUCH3rJxQQCH2QUZcHfl+yiK=k}34 zd8gh!uy&N;)d#?+Sh1gU4uV*k89*sd%_SEr%>)r!>6fO|a(Arw&j=9m2FDg;dPa*Z z!Cy#7+Zcqnc0ud_yyisiPc;qZQ>V3&^VBn}7#G$YcAM4|u@RSgXr3s&&@E_%n_t=UcQ4E}ob!(;5@13eJydm7E zAj~pvowlVtWP9_a*HAJ|)(R{Ju_8H^88BKr?k4)JOwB(INPH-IYY&J}ORa zt1_{(sumSgVGruaQa+&k#S3z6T&lYUBAYZ1-;Z0g`dX%7KI#&bHaz+3B0)_g?(z4) z->gj~(uv-`SsQQ-_BU(2jP%abxq^#@4}bT$g5%{@TwSp|rK;E9=Xc(3)(L*@;hG+T zpTFLDz9}HMz?eyjmRgfa<6y#FsJ!7V>Pwl+!Nk%bDWAQQ#ong$Ilq0n z@~?xs>KXGFG{gM#f#}IiM@q)~Qh?Gd8+)D&!4V@8)Nj1hjE()WXL++KWA%2VCwczP^|0PfI|I^&4j zSys1vS@P@EZ9P4!iJx8<9~mXP`Lt;$EMuGAzdpx|E=x8-`I>^UzQ0)=iCi;RWpT3^ z0Mz(M;k^ejxq)UEZQ%IEv7iRqC-+i~Z}qrCcKt~!CTEuYOHP59HoJD@=v?ZDsnY6r zJ5Q5j{pp^fGv9_(SJugf09V%WVx8}-d^|1u>ctKb!}0I&-4S&o2Dz`RAaR{#dyN)5 zw&|ZSJC^B680S^$9?C38BPpZO+SFD6ov%iA?T9%?%n>Axuzar(jnhc za2SARM4xKY1UX1lE)hZD9g(YQsJnd=hj;t+U?$v^EbTXFK}C$l+RAoOOjl8`4~bRQ zDo9s*3lmM=`w*Kv^*ZD26$~6$Bnkkyy+Rs1w6&46wu}3eP-ayntm|wfFw3o(uGVLi zXb^7cA70Jo83mR*H(~Z&g44yiF;^t%{W5aXTv~2So!%=Gn33JNONV>qr#gf1Cd4Fe zl+qxJ4{e68P?x3wJ3CP)#^S=RMcz0fWb&h3Vwu&4zWC1OX7XZ1~6M4wJavSe5tXw^=Z|;NH8mth-|W8HO;H80wjg&8u_YBa01=s zr|x(JtdV-qV?Sq71-a)??v1QD(vjR%O3aP0X)v*Jb&A|( zm^4;MK1-=Ipj&z8Sdpz6Q9LjGd(s_kWOGp@BSA1bMm`tAP?!@A%)Mb^cCfo6tx%Nw zn(xHx>UC7qt5 z+Ac@$wrsa(B6?Gos^!zHoV_Z?_qUa1>t^@LKOkMC3nO&S3e!Mt!_y>MwRR5mKA90Z zCbxVv=*wKzJNS)FhIr_UzmsjdX!j;=zkJ8AG`IeQCn-uR!R8xwC$H;Q^e2Xui`cr< zbj|hSIdVj4??A)KmX>Nl#-XEUQ~EE8`FcyfuXy7GTMc+6BG-ibjr5@lqsv{HzGsWY zd5_TQUJ*mCEU2l`hPay$-#MxVLOSC!oj^hpp`8J*Ko^Xjog^k!k#Cl0tr2YqR1!Xmjsztch2Lv)V;Y z;^of`ikE(Vffh{~O`Cq9nIV@%WrlGyIF{g_KivPx7hKT+|M*@17hmuXngFDVw8j8U zfLHW@4$uroBcNSzbO7!@zBF$7Bp{5=V_BfkU+Vv2GpX{x7=$%Y_)5#{FMi~z_t*VCx*{YT zuO

    BixX1#MPi64IJkI`X_S%5fT&r|1uX>KK;#Hq$jxR=}ysw3^s@~XvI*5#|_!r z>EJ7oH7LF2=K&K_sx-gCV-=RybCTD7oqH3)weUPk?sXY!c+fTNvW*)6`7vjw+YAZH z*2RGNPtSJxQ|FnFeeE+F2EW?w_)OH{y*dvdXjL;Jeop$<==S1jM`%=pttHVl(p|jk zD7*!yiV9h}6Gi-FeD5!jsAQTG`i44k;IA{DQJKgVyvxkE+9#}FJgub2)t@I*rU3eG zQ7OYT_G-=Uq$)x60Rfc()+hcDgILVZ2PWP}$p{LueMq1rpcgZ+gxLKy%efpSM%@_s z+7dv&dh?_f(#Qc1z$ynn>_mSn19)o)<8j5z@~>cYtx-6H&IR%3TYiSOpww-#I|4H5 z8>H!_=osiT=BH-M3k7hP>IO%}(nKr{4yvz4bo2?3i$vXD0)I&cJYigP!Lu1We{%bo z1E8E$;)|%5sDJ~XLnGIipV@h8%&}X7d7$4mK%V)e?a0tKnGCNq7g0HN8sdPY#WUNu zrd59t(r*dE3ombUCHHZ@SLbc6)4ue;mbY+r)>QRcrad=kZRa$T+)vKJdr+tG>&|zW z$9}A63>GYBF5+n8nJeG^d0@%u7wJl7$O$viZ`XTtROf7sp`bVg`QBVLpjtwu$!D5S zf@Im?hbNgSClqbJv!`kk!lqBCh7yeMb6D;^^u342#X|)o_Oj+3+VQ#7`S|*;{)pk^ zr1Y~v|KC1_HEO><)3NzQ!yn5-YN)jbHdD@x@dbf+3J%O?Ek1C4Ab48*g;-84H5f z-`cF1tZ`xQ*5Q%KRlm`;qdukeB)Ts^oZDhtN`)e*u+$X2868O9(!C22W#;#iNm*B)%dR4j$BsI&2r52s(<%Vw?(S9+cI z+2l5%f&y4eE$&tiGi}h)yM(s}Z-ui8w28FR^QFi1$GD!798#$(+P~``9$3S}J`e|_ zNAN2ezDXToTB}&2IuJdjB@B2Aj|4~G@l#{upsm2K08}uHMvDajIwN7ZWkyBf6O0?- zWF0Q0Rw!^4i5I08wHJXzv`@hOC9G4GsD-JdMksH){(`X+r<0)*O%31^^&I6+Bt^&m zZtouAMA4hV_ohsACJPr$B=LtpC0QOA-`kiWMN!onRgXt()Q6!O?N0BW*903WOUg@X zGO{rM>sm=G{tR#qHY0IeJ-Gy&u6NA0hfvieh?V za?dJUB7PEle|-BvN9dB=qINjf8J8^=TraRd6QNr><~pXh{$yR0Ob(h$Frhj@o9QjX@b$GH2ar?Psq3kPKA*m(e&agFxbQe{LCN?^{~x6@+8LRM!d0)_eo z?+Y5*ZI3bzrA>@X{2c8WDHsvYI@C-3u=O^*ph4~|@F<&Hzf1k`n+mzr>;ZT%Nn7me zfqd%&a4uHJ^}?0C?yxSP4(i$IsqGo$x#f9$Kz#b(g6)FowBb~jP@Is3kbtn5u$pWy z_(9w4HnZT1;F74wD62@}JFWmJhyj#bU_iuCsL@_l*jeO>&4{H-|7~~=L>>Co!E=gK zxI#n~TnJ`>g!D7@5v7-A6N? zGFvsZG*12w2*?Wf{I(x9GTaOvE}PgRjOZkRJJ_VV%St>GD|QoKIhdGgd9vyK$NVX8)i9#YU_4{P2w^rSQ{D+~{x7qfI&7^t{fp+dqMzgtdXSmvu)zSzh^_XBKT1&AZer zi!P6@xGp7lv6W$`dH853O}lFsd^u}5bt#Yj^ucVclVpqZThYZ+)@6lf5&RD(jM5rU zPN+NB)7T$V4~K!n_`-I?-lh=_9E?2AsZ`CYL2dJI(_|2#iO?}SJ)l)hwpxyOPAL^P z^|=hmGW=8}j2i7J=)3{nZ*hlEu0 zRfJb$_ogLonF_O$PzxdCrXtGgI|Qc&$DX&#mzzUUmJ@Vi_c=twkCif9G6c|;wNpRU zdpUpl>^GUeFm5p$HhE)GT4jmNS?xL1A1cTx^fcTk;Ww6Q>_qp!s0^$`+WT>RCLqxa+l|K_Y&GkjJ2DzPEpw6u7!A`GQtjeo0k6v+X zJc;i&jJNQaj`@fv?R$$FH0U!}oYPt5FzKj~==^Gj!JC<1P^m{g) z4iIJqhx;V?h@IUNRunn%>p!ilRnB_<@kg8QqVJCvq1S!-qx<{$Quq+XPKDX7KP_8Z zdgnd-M!$BV3ekDhiTChB*h234rJigZwmk~*dRZF%(Z}}0%z>yfE1PEBbWUtMeuRB1 zdgGq-U5}5|T{(HnUcEcV%%f5U7}M__Q^c)d?`SeLRx;D1<6YN({P;EsZ&3BzNeh$0 z6oWpYcTq!A`>WoA=|7G)WuDC)o|oMkppQ1UHruTG=JX!Z?E7Y!=!{vMkcm(tgfXNJ zBw@A<$Pn>f3O|b!_v@Q|7*?Qw0N}|<2X3`1Visr z{VijpA^a@mn88=@qRea^C?&lvCBAFf5+DJeE#s6yTpsv-T4VVI>j)f>-@iZexQoMw z6C`7P;&HA#5u2RXA;WuVde--C%Du_s93ns~A@tky;C!?s)gr&?%jL*6Vh8)>;KC44 zVq>28N!t&zz_;OWS)b%i1FhXD+u@Z-@?HCN=U{I;FH$qp_xf?*{@H)QZn3{%D9Jy| zbQBzM6){LhT%FDpZ2ecy5b5~H5rh0oKmw9S+Snj)wK-SCHzq(qA&>*o(G>#}69zfE zqOk}R!UjtM78C?oqjBX#7z`2!vUP#E;V>=??s^4v;Yb&_tAh;+;Q<6;ktl1N$N>g- zK|2CLRxXGuMVuuJ4#$=Ikbta_xT!Em3=qWch{jqYY=9t_KTg7NSpW(J`!~6rtD`N< z#nk}?bHxHdXj`-+!X7sp?9a%UE97qWZ*@w4VEw z{d=vHhYP}nL;whekO=&}0fmKxph7?!;NLO`E{(a`fR2C5z{0pZ>wn6Gp+dN1#Q+FWcC~r?LKkoXq)_l{}WIa#bnc*{3*AxYdNdou+=K~i4iGjm5SO6F( z4n#ZL0m#b(Kx$Y7439*+tHbaJprE=OL>vqSL&PP(QebHaL)2tc?yo@N30D;prl z^gadw1gXLBFcjJu2r`5@BXB?ol7cbt-v%=OFgVpa)y5*+@&8f>siEERq(>Z3_Ln)x z7=c3*uyB$;$^Y_qs_?rUdI)!CybBN_Edv39G?6Gg=?y@dC{l6M5pc94;xum@o>Vh8 zfM@EojsBylYWjwQ;(SamS#n=`HdfA!rccC3Ko>Aw%9TYh*<;_QV z)xH-kVTD@WyA&y0dYIMGAtODV(vRn?^I!k5^K-XgSZB3=&-_bPSrcG&)%KujV|Sx2 z?Cp|^4F4u{m|T__#zbH*=T^eggYMQ1Kj(O( zE~ew*jeJ>U%f}()T9Qc4<_C< zVvntz>n4kB4QG^#^8J;)9WoxDRY7moF=yD_tK!Vs`?|UjX6>0_KtIFzxR3faZmmP9 zZA?o8+demu6dAG^`1SZqMyyN3-eEz9R&&>?GtWNNY`Cv@w!tI+TA;C^m*UVikB6Xf zadsHrC09GN{4HqwFu7Q$TSquI^kwC?tP$_<^|#xyEb9rnZ!W1s!zKfTvnZl7lJ&JB z)GDq%Z^;^EeK8}%4qIiXqeI;=X9GwdRPS3F74pLgz>%6Q`WAy~YQ^3(A1BP=gz+lH z6A3epamg*J2dO+mnWHKPZ+yqfr^;FgJbEuX2@B1&YQ}2wwM8SMwybBeC@uy)DOfTw zJw8V#m$b~dR}^bVA#G|GYj8d!e~13iRQ5v8Ble6kIiq(^%-SD)jDQ)Qe?68(Va-%6 z%)vDF{GHi$;k(4Om1Gl9xsVAb4B|tT3g-=5`*h_CMl#DetJj>FUXK-F{eA2i$!Y2f zQG1tKK`K(mqj=aM~T<;80E1lI~Vtt*KG_Ip;G=* z`Ag$rNcW%zIEJ+&vV7EhfxMoDe$qG7Nd1Ls#wb*CAT5I!YRbz*iPp~AiK;S0k^M;? zG=ZyBl2XRJivd-`Wh1Mr_&oDb_Yj*h!|i8kIxif<3uAhmx@bCE*dFIWQ352@9rLbu z>N`m-1I}x~xC{~MFt6xdGt=!!0R!Q0V=v90&!O18N{zZo{HEH?7EIQU z2yx}EgbMfoPg((!3H`YbXzS^yzEjcM-IcQDsE@YITOh&L87b2#cga!K%L4n}=B z-sJ1uO*1~!a`w)4bMV@fhir=u|1-Dbv;hlK z$;lydvKP78X?|^vQ#=XWHRA8g0e*&&~xS7>?W#B(7@!7zU3tFi1;H* z^W6S5aYx08&(QL1OCv#Y?Yr<5)SB6Z2W#oPrz!X+u9}xvUkrTT0k??BfyXu zU5vsV?JDlMbv@a%?RzR2x9-<18WhwklnSg1q1n3ogwU*CBCk@gxnA5^=%c+}GR;w0 zm58beW5L2IQ&KQ(s4Cj+d6Y-j(0=JOpYBt~I^D$APuIn6*YZxDTVE?C<)xbYY!^!Lv@RmOq@p9pCl7m$A6}$k;#PHSKa_ zDDRjbTfm9%G{i-hu3sA8_>};tgQ;W*^ z_~qS(&Sm9%%vi$D(6|fvteSg`EM4k>Cz;LiT2&nE+JS5I z8qDoOLXX8(B{$TRmDcJ%Xj+Ft-O1VMDgsy^BEzWhZt<))r+wGu&gZ`Xo0?COvAFdx3F|NODDH8&aN|272fc`&~*_X#w;p0dxo-1L#T zJozj;?Sap%r_lM@K`LN}8FuGom=ym4L}5` zwJWingfFLl+Z&cz^0s>uvncObAA9Xdw@7!zbxW57{g5ZyvTJsBFU4RvjjV+?;3oTXqC&8Hxu@TXk>UrSF~dxhzz50-ZIt7 zJz&McqDtjnK%aPbeVnNJBD}aO0SW8#ybCmud*fIy8!NQi93+p?QaHQ`}w&-H-nMz-&~s;Tdn1;Fznno8mH&Z1s$&D6YQYskEa z`lDxP6<3`T(jVTen{sHGY6BBXztwx)__;i)54xdcHea(HWu3oxbzyD|@pWPP2lwOW zQgcYhsX42BEl{oKPRyur6?Y5N<~k&`rGj)bRqJ>dZ;<+mRipCeZGlb03>CGL0^-}5 z?|zhzh_gR_{OI|<>F;;2we{)d4UeDXxU-ViNVxnj^86P#pK|e^-1-}w|Kw$mF47SP zv<9AXvN6z>#M5X3iHpHNkUqi@2~$OT0`CzXW<5))fQwm{m*eBKwFb zD^tC4sChQ|tj|~!Dw*++xuKQ@`0ZGDSShNB>}N(o&24TlnPF1Y($3+y4GVLZtb#=< zUzI^uQl+GRzqn36_w68v`D5IUh_%nxWCSgA7ZM`R(u3=tM{F%l2`ofI85*PF>{*zX zE*#cC8u{VD_?w~1?dZi47N1+vWPTVLd0a#Gqc zG3bY{MYZ0K&MUnBF>oz)NHv2||Jt(?tFw|oG7V+&6=l|Ca>jS(D&NsplhJ-8KdU16 z@Z4Q{@W-Ibv1inQ%$EZyGOs2Cy|Nc5q#$I{O9o40uHpmXA0=fe#R7Zm&rO{%7N$X=Xw##kb4%XJQ2&0%UKhl9aqq4eVIZ- z18k_5K;6yB^k6KNdmmp&l)$0&#RbiNDR{VgbtZucgrwT8_{=-|XnCyV+P|KV0>hcC`e2siY z+D^RELV>(oZd~gEY24G?4Zz1;nvS$s`P+Iks_y(5T(bgijWUHTh0h6YT{gcyB8V5Z zG4jlRXd!93XKM2@sn{~hQ~j>?b`gVJmv;E8RwJuC(;U3%m(Zbdh}pO%)D)_AzYH6> zbN-XoWs$ar^J;TO5rW5p&Vq2$kmm*nlbR92h~~=e71>K_68Yx`jFEZeXqVt}A*P6k zG@Wvtbe-t#yG%mtS*(NP%U|{&N3bKp(G4?EGXt~675?|q@2@{Ee*d}fe&P0eoso(6 znj#x`)Ocvv($r{(RG%b|q=n1I zFxx=t=+NlSaQD#jA-SA=)0EfiS!vH3)Q&^G=F*sT=xb$`sV(L9!$ScrkK_6a9rwWb zcqzhn0$=TZZE&rGSG$*y*8{J0uY*0RBa!dC-`S5Ej!Y=zD7YxjQ@o<6y0jfC(sH@Q zHuQUFadcF)LzMJY0*eB~T!KctU&dXk(N$IYuFP$xA$x4!Wq3D4Ut-$LYy6^gnT#&@ z1(+2Q*2ms^{&QVlnCQTjTUS&gDI!_*7=|Awx1bO)Rzsq}qST^wA{n);NYC#&a6Jz(BM1pV9Dqv2a&L6P(GB^9Ex z-KZURF-`FYl=D}euR`e7Nn%~A_dwV@<0q4K+^hvrX1waXM>lZ>{a{wezuZ6er}R(O zGgfD&0zL;6DR;bk66mXvn|WU4y$WqmUyw$V0vATxzVmBr-R`9&>Lrf{K?4B;>sbfQ zQ7wrNd^uyNXsL^-{I9|ojpzp72GrVj1tp#@=5FBb;oekFR==6;mBW<7n4OaIM~7!e zLWef|m4ijQUBvK1##TZHd?9BcWxjywSzocNHlr8%P%8$pq-9Q7f0LIjPL082<-Uo zzO@UqYO)=)&a{40X^+oa>OL|Xc%Jvd%VM=y%u1oL9o-jL5mJG4^%pD`69M_uh&kCB z#F-C1%P!gXTeXg4iqL42k*-D+PClFv9Fwg^Zsb4L=hXG&W7d78dtGN1{n@?o@JXM= zlRtbX;>!_ldb3bO^Ir40(bdVRDt18&F(Qa_lB2W%M+w*Jig|kD=~}%Z%)+QD@{Mk( zt`&>TxGlo4qGH9DptG+XZK3b|%4t1+;zQm2y5hC%v0?K9GYhK&_hS3aKCib&{S-N& z5xz;j&|?m1O_{I$eMhx5H*<>0zqI(x`F#m|NbcJg)7K~ZOce17^CFk9W8d7=GwbO; zJl&3Zfi9?e%5gS~H;ltS<#2t!MJ3Gp(VLiZU*|(xH_D2fT*eif8R+{bLwxHos~n2g zJj<&(@(LEbdo~X^hZW3mHlIAlshY#H88dEu&PY{!LRk6oWpNnZpzF1n8m@qQ1*%7H zp$5ixmwbq6Uk=uk?$7L>lu-9G$JjaAuGKDLig54zG8ZV1IprwWDQ<+Zh1G&?*lw_- z%lOPk96uShXedsvyMkFC>O6^?TQ&NCp3$!6YUrx_wrqa%YN-n6PMo@pWA?3DOdo29 zIDU4(>L>ZV#C8R!ptzzSw`JcHd;>mJBA|r$x#w5E%=Hb{7SgZ2%QLCf!S5>oQnEYr zJh?ggIJuxr>H1Hb}2<} z-pC*KQFPVqXI+v9qeRVS$>w#XB){cvSNFCz3Ze`${KyYNc8~vo-O#@<6!5QkwT3%s zG>mj74XjVG_1{kxNOu)?9P+mS08&RfIUz_x>eDH-HBeFtnyce*NFc}=3%f^RTo{~iin?$l7EW+;LLoeXAUqP~ND{fh;8?Uf5afVG zoGOwmVQ@HU?hODrB1xfeNE{F(=8ncYBAkFA?5`x@q%Hu3g8fbILU4D6VF_+17y%Ci zp`Fq02v<@x*e}nxQ*yWc+ra)8_WuU)KPUFTx&n|1!2$nkfPX3^wHvo!Zlsh*jl!?G z{HbFF!#Jsv(r|#0M)UuM|6l#X|HCI~I)7U0KYeN=Q1=jcBpe0+{jN3e^jG@((!djo zZ~}+}!4QD>Ul&kXN=iZs=mh*r1|hXErx(!uFBw>x)Mx#tOhR0O)QkL=3=AfP{4W_q z@}IU4nSa=dL%^gZ$bZ_3L!keVNkL`)ksoPEL)u^br>(Ta-~HjSFeD0rC2f0vAQPk) uf>Z+_=%%|9n$!{gYTt~}Xgu(A3-ha9I6MrC|5Yt%NpUEEk59uu6YxLfX7NV= literal 0 HcmV?d00001 diff --git a/simulations/figures_sim/figure_independent_elnet.pdf b/simulations/figures_sim/figure_independent_elnet.pdf new file mode 100644 index 0000000000000000000000000000000000000000..fa523b0e05c51a21c7ae10b7a384e2281a342335 GIT binary patch literal 6663 zcmb7}XIN9sw#QKfBnn6uX^|RgNPy4<0V&dZM?we?3<;3Xdq;YcqSC7%A|OZ+5RoEP zs-Or6Dph)uqBrpz-}9bx?)`B0hsmD*tXZ@6?Cj_Htu?&*s%jz-Q3(KV=tAgX=y2$m zwFdwK6a!-IT>$d(0I-S&5{^etG%J&oN^Z z9!;2K2vqlgyE&r}IG~;<-pvzFn5OT6b?`(WJ&2>?qA*dStKVy3iIM=|#ti@x<3Nl8 z`d2hSu(7Wj5(rj-xdMD1eX`cUvNh4R4p%Q11zyaY<1_=W1IZ_+-kd*pW_}^jtR)#PcaN8+w_VSq zuA&9B@9bEN8M32sc^uUxTHDLVd8a*vWtQ6UNaEE0@V(;DaQ^+ta81({=#*XL{&&A4 z)KT-v#sM}sNHXB%Cl*k+vU}@UZ`WM=9Z=A(Gr3ahtAAh^`wQ&q?wj}!bzkuY9iF4rpr+u3G4^(v>gB$M)1o?E-{X~yyX z;ug}W)?m8k%=a*tz0hprQnbr3weH=o-`ABI+}vn`2dO92qLYn}6qjvvw-4#$(v4?^Nll$I;P3d%(_g>duMG&s|HIofG_^*5d~MK(fPK zG0Fn5kK3B>8BTtdT|Ft+(6vIY+w;7nc|OPd^7US2%0_UrT5?QTajephk_(Fm!3 z@G6#Oz|^qPFh<83G$rH-km{v%bu|I)r@Wqk#($z}X3gEpBm6rW5Vr~r245{LXkAt$ z7553C@MRxaWVNy~8_yDGi|0ds5qQ0&%r!G5TNU3;ZvV0SDf`p)96*LpG`&#Sd8(4W zgEzfH7fQsim`$xOXh z6&)7lLF-3~m1&n}?FJ9&eYmqGLZm#LJFH1(r;5(usC*Df*#AXP=^jX9C)qPUZ@J*4O!Oc1$tI4Z+s7YA#VT z*U-VqD%FSf>r89I0>@TDa4i0Nn8*A(#qt=f-TmnvUzf1R@T@3Tkif$g!K7UsdZuR~ z=8}nWTyOcjzm#*#|Vpj&Nit{C;2X%bKTF8(yJ;z zsc)3-JiUcwn0=)KC5P+DRln5~UaRzaqP={qut-6#N$r;~K`r1J%i8>C22$iXt3_dX zK;hs{4Ow7`TMbD3doue1Sy60L5*aL>0>sr^MEeRSvyuVW7`n}QQE_(^wiIPXomHF` zvqI|a!zVuIoktDuS&WK6(kPu;UP^M&q6rE6KuP?4C1o^eAcK#aqvs94^sRYju80ZO!cbmTN&HRJd$WkDUALd)bumW%w1x z`>(7UxMs62dw{s)2%p=~LR{Q*(Fep_m8&gDvPd00-OznPf0UH)W+CMb19>_zy-TMi zEzIu|#05(sXI_*qt9lRJK+?SF2^PlGWH^ZEp^Idjdc+5ntg7z8X~V5|u^)qat&&Wr zkPF|ie5Lx&4up*wgc41t>Vqwxz)VFWwuK)laA?5Tg{UL@(`LP%NT-iH+%0FT=rs3b z-9n%B3RUjg9!=;o1$|9;uS7lZxk;8`b>NXyZqs(-g~pHM_DM;lRZX?Sy+0D1ZP;}V z+`nGHO&fkS;$CExHJeMCO5>K3ej{tIKG7V}GzfQi$Z$UR)efbnWL~4;q1Kny zBYG};v9#k?xJn#it-n!ltFYB-Zz})Rf%7{=IMZ~|%_J&Io+KuPry5TeE1A;rdY`uB zZ|5wJO?gsS@rmBhvwyEZC)q65lBlwB+PyBzL8I>1I&Y3h=A3P}y=Q(n>&-iv_$Qy2ceJ5V9!A5rv6X1@SXF%u{k8xK0(uTIqvVO>o$ZdMS&A|~DhgF@Q zcodfqR}te;t4?;_ElN|N*0j`$Tms+i%09&s)s#FWMrYN{WU$AF^#oTRlIEseIKYj(5n-T{%GNz zrv>wwpR5yIw~;Ir!n@si4AHMQfvzt%+(G6U2ikFrU#A%QAT)jkq9Mlz!R~Xj{*KX zsf7#V=9<8+uXJXbY=qXdN+21w=>8E@t%r2eQpLl}6g1gg)d!D^4^`bI`oc?_bDocI z6gdV>v}QwPWnbS?Z1>rvOJ3hv=v?}^_POWyP!WsW!2H~$8}jIkTl<*Ve%TEBK25vx zGryOy_M%^9rv>BK(Wl5%(bOs4Gd@wjm4Vn5`z?_P-ks)j9_LcUI$PNvu{@$l6D4fO z-6Q`)Y8e2ECrUJVtc0!O!^0C)Ny2vH{Nd>B%m^VrsmFLhjbENdw|iDjRM{g(m*99# zs-H?cgT?D+7s2op&Vsxds3$nKD8X>s_>I*Srl^%&3h49snYX7NvUl_~Bjp2n1! zl3!W)!5Ne;!q6LEel3JIz2o;!AHV7Zm+(qQOvNqp*7~jiW+{+vAxtzAs2fITuj<;v z1hK%G;|B};w4*!%L3G?Yu?zf=Q6A97fJR!bkCxhl@izuzCq)^lLEdL4(Nw+8sVs+F zMVf9ty3hv?-I^REP#nXz)r<(Ac6=#MPFj2^n~f-oj*Kinp=q{;KJXa77tePS4Te5= zz0Xx7U`@QK(o)N-?V4^dn1F?7u#=GI9rwdKdr#_`5Y z74KgZQcgST1l;{6IsOxTiCp^+?)(G3|KMG)7Rmt!v;q=2*AQq!;9;yMfomZ^uny7z z1y{!U0IkFbW0GPLKyjFu&EL?Nh_-)FmO$VLBP1SZ1t#PGgcXoJcpCs%jex~Kd3gfV zLVysW7em4=6bK>a1iv90e9H%~ZiFYM0|YYy?h=+qV?B)A;E3M}7-y)i43zw1{x2*i zO2oCTz?v#5%5WUg0SF^n+57>0V(-uM-XxMWhPVh=73qaSAc;=Fx&(L!|3Pp`8QA}d z;KZ2zLhzgnZ)2lrrs&~TsaE~eE3xVC?m8Qu*Pv?END&o;P+qzHDw%`}rfTe_YLHTT z5ek|QDN;$P;fjqsXHc_tfkk!P-Hm}YL(`#(W$vZ#=HSCQ&cmR)d9A~roHhd|n@N&S z!^vK2n^T5dE-+{Kywnww5a(n^aqjXK2`QRn-mR`qndwOFeD?W(sd#iY{Sk9(Gd1wX ziQt%Gd&p!PVuB1^TYQQg3-i*&qb6t@A0iyD8Ku;X{ZhjcpbH}b zrOt?c!x=fCMG&bVXqd>NFUh>d+dEsMVDo`t`hJ?Op#e)#I-ar^7CvjEsDw27xX;7G zI!kd~17g%t3ET^iscaStw$C0Uj>D%G48E=`wOn#j(lXLwt|G2&pz&av(}$^tUKzF# z!5b{9oJXApWKzEMj09(U13&Ku9 zl`}KeTIcfa3V@e4kMpR5Rqg}~8@7Gg{0jHkO_NT=LsV>~Fphqussy@SaQkujTVC`L zC&f=s4kp@Dp0*fp`YqM|Qf;7iM!i)peGFN)a+K0h-h(5W&Y#88O&Rw-9MQhZFh5^% z{hCq`2MI`!7D(yuAoOlC@KU!r>5svfF!q+NLQ6umr3bgU1)ek+ekt)PkR0)DCUB@9b`U?A^DstkeMN*KL2WZSd|@r zIk{&(twcD??J7PLF)txaAsX6mcVXt7p%`^;h`<(LKJVj#bD3!<-`eyNX>F>;|WqrkKPR#ag?p`TNJ zW87pMO(KZkcvZ`k0YCyZ{joNxT}Y&Bn)A zcfO9Lj&&?iCX%H)9$s2w{zP_?Z7r6n%j20n8qxspzv55lPbQZb7|y+bcWaQoV=b>6 zBlN~(-qMZV&CHFyk>w@b?3K-Uny%fg{%z!uS^!PZMa9It>md4g%BK+;%7So_g4B0v z(prsLJ~w&j_G5J4xD|#pMwx5MtIF%K@wV|AXgKn~1VVYPyI%j!pTqTus}-2`R?UIN zL*7DrRvE*WcYTh(-5_7kT<`*Di@{WA9E2CNHt;EpF_SRfGq!$`Rc&72qw21){g}@7 zt;W5oHwKm^#zlDJm8j9@P?Kpj8Dkk0-#U-D9kQ?L48mP83o4%tVnHV$ClJCoqCyX8 z)HLonuC{8iDov##UP|`P5LNOV>m2@EfH5{U=l1j4xwjMg+!+Pf3s^@;msj?n$M9p% zV>uHM6Frl*RlW(>giuBG#J6(a^6iP+;~yr}#%CXkj|YyAjlX#8{djIn36+J4xckLr zeMGu)8&B<;*w41{C{-qUX=XA)a!`U>!pwPNjP2c{$d|6jPh@=&0w{sVo%_A))}CX(>bH4ttPNyrk!uCvWq9b9l43U$>uuU!>o6zr#Js zW8pKNGxp=wV<6&1lSrnkA;?!b8QW(j$ zyUH+kDGSF@JC8vIL?2W~{FAHS^krC`loq5C!U~NZWFH{=)-o6^@{UQDNjZ)@j#Zm( zEG@eejZCy06$ux)B+??BXTf6LW#wA8`r_Ex6`O&o{%3f2QFw2`AbfP>6=bAla+^G^8-Q?i z%<)#1^OdRclKr+fIo)Bg9x(NTnYmQ!fmU39k#G0z(eAaSgr?Od59>9X63pcnsxMkG zhTb;biT>dyq%?svx$0>>5oM2^Dwb{zJK0X!a#d4TzehVA+&&P%zWF%Z^2YyN^aA}? zqwlymvtg;}7Zcun!?W1PIf3Bk!O6d1zgW*%o|_5z7V=oB=hgktz?;SSWH%>n(u56$ z-Re-d?xtbadyw3+OSN=q$vZOaUC6ud1&6QWJ2N5!ITI;qE>%+oUxm{fTp4K(X|{VC zmO)m{)ymb+wW*q|s#)k)#8^aM_^{|sk55l}j|QU3-mKd;b}WYejb{&Hv1sw(LK*Y1 z@Jy4Ne8-If>CeYpi?@8^M1?2KAGIAF(RJ}Y;#H>`xd*u?a&J?n;1T)I-e^cky;fNx zdP8)BK9>SZflb})125_EH1XZ%SGet^Gn*@)y^w2|vSa*;$@o%k*>TxqNt^B^osW43 z0t$Ss3Z$7SS?JmigP ztu6GyVun%LE}xX_p+>Gpt{B#?X?jPepMNKCx7{|>vcqP?D&Oi^gB`wPsqfh2T}4Ty zpV?ZqsHH+%H+C?zKB69VHyHF>R2Ur4BQ%N%dAzUC3JfZ`wi1}bbrw7{++-Nsn3zm1`5!_rURy*C)YmCykG~J zi4KD~KXTNz;wTX6Zxb`+GS^?~!_5p{#68oh)v{!Z3?mYkhjE}AX687ybB!ICQ#un>E4f6T14I=6+%?fYo&Y0Bp{ zgZJ23jmGP(Z(DvWn;us!y})6HXDo2cfiJ$~j<&|0JUCF{HZ7{ZYM#FOVOsXnW*ysyUgKUDl;2^vn8W;LEgkyU!_9 zj8RVVr}f_HSoOm@G)S>E*GO`A2FLW)^I z%RjE}ZEuvt>*WQJ9!Bh*{15^xfE`eTrEn-55G;zp z;vJBVK(NQ}AQ6Nt0F8$KO?URhIKe$UUD0q)JP?d^!eWqj39G?>d&UvT-R5rv_utt6 z2gLtTasQnafQ>xu@xKf3M3Ing=)zqIArTUV-}~|p8%wyGqbeZ`dpM!A{xA6doj?3P zd_w>3Qv-?iLgG;fH~{=-uYtt3^!K8_j|b8bAO?g$0b+k$K$xVYxFpaK_?HGHq%p(` zi1|x{zzBKPziUt#DZ-({ziZ-Rl7s~2KQxFGA&mdfppgHXEB3!?GXG^KDI-S6>Hggx z3<4u0ZU3P`B?xB{e>A)Y9EC=D5Ke1=U?Y?tlCTFruqMV4OUMX+r*DQ>EFMTaMfts7 XI6T|~|9iJ!;u4YoUfx@JYJmR%3c1gg literal 0 HcmV?d00001 diff --git a/simulations/figures_sim/figure_independent_lasso.pdf b/simulations/figures_sim/figure_independent_lasso.pdf new file mode 100644 index 0000000000000000000000000000000000000000..e245d5aa1d484eae2e0644a784ecb8920b295ceb GIT binary patch literal 6792 zcmb7pXIN9)7A=UNpn^0p)PR5}gb;d1Ar$Go2MHlSkR+Id-g`%ot~BXIq)8VPX(G~# zG(`~!9i)jM@`Cqz?z#88_v7s!JA2JFX4x~}x4$vw;?sw!fgr--G<-qxL0^IfgGQ}! zG!UQ&5Nqd5BQH+_R>2|R1QZqng%glK0jR8~h^UB&n5dM9j5tJ0Y4wHbmmFZa4%fp7{U7I|ck{hc*)9NN@s*N{LAU!D=WM0_hFFYA&SaK#>TnJ@T|} zJb~0RG>vEG2Wy=NvyJqv-z$fP6+`>5hGyW2+p$lpdoNZ+bn&>lJ5sRKOMSaay}fDF zbyKqout)eVUWi$+^>Q{Jxfa8;w^AzZ;3<~=xnryH!`)v2zb;v#6w>WeIM1;?t!kUS zq(qzJF*kd%_nhB_+c#9jmiaJd)d z`oHvH_&GkN&XO`7GH&x#{wkL-A>_U;@~9-qGH!x)J2K1n@XSjN)=<;-{*WO$s&*C+ zK);?`Qrz2T(_9`>Tq*FF*SZ%bFj(YD`s?0lkBy-dbUuRQQJy(vq381vKw zk>Ulx_v^><(Vfd^V%k5%T~XF+(@xeT4k}0c1T$JpcZ|R4SW= z*nY3a$2^2Fb7QW9aUr3Ix+KWHRJ?v*znF?j=ZpL@%Z{@%^ zO#bLCaX-U4XT~qWlvj13f&jdQ%iuuMmC!r z=GE$`WC-Zylyu@i2dv<}@a6r8i1h2Wkrz&Ge*$=4Rh9)r?tSp}`~Lkq*IdBy=96!A zF+SM0_tdO#e4hkwTug{-n)@UVL>wjTL zQb2H7d)sqUj|f~={mQ5$lrudf*WP82u}s}W&Z$2=EWdC@a9-wt-BR_%Pu6u!%wAIO zAJe@Wj207J+~Flsm`NMqpP8MTp|ow_1h19Ft<`%UFeFZexGWpEEw4aUN7l&2%_+rv zsz3_4?cSenyWf!xtkYP3gyznb{j_1&>R{!~JNM?j%LTg19Xi;7_d)*v`ac95N>wZ&swU2`s zovR%V^;vJS6Nv2Hu33^cI~&F}v|ZBNpK{@eeKV?4o-p22rr)SgA#cX)9CB2qj21ED z%oa+JQTiraHpj*j{MymN+COV#lbK!x?RwXw#1HQVhp>q`Ylmyx;X_KZmv@gRLFNjo zZ=35X$g~_Pj%UWM#rEiwm!z#2Fu0~p^vND|KDS&{6^fF-IqIB|wp*fIjMEP8vOS!j)>Q$tT&}_3L_KV1kfi~(Pr50r@Xo}{ zNT-y?%t(%06O5I9e}4P8-y@5F-aIa9u8&~G!C{YET)Rk*=&g}v_qdV0m1zmhw6VH- z$v-%3aY8Tco{#NYci|nrBtg?$fTVlUqJt=L5mL%Kz>mjB)<+H)$<4eb zS5E7qoD{BmAI3T~q*RTxGfu2Yvvxn4)=qVjyfV?6Gd-0|`-XLA?N$-NY4w?w2Rs6o z=k(~Emv}nOVN-@S#60(|P3AzotE;PE)P*V#d#+E7aTb~o36N3dptZn>CltJT^e9}b zh(PvKy63UZa>5zm&E6pG&sAlq>!Qw+&wHMhH!=gwFU9DsWP4kY2a6C>wA29t!b&DS z&S-MRMQis`x0L!bX9cl(ONYxYl;=lk$4yACij~UG~)p7LD5_3cT>N}nZj9kfwYUI z?{*EF>pHBjYu`;`uV6RgBM8&!+f5Z`p~U5B&yQxFcLs{}g*xl0#y!KJCFQkg29o?G zHiT2s?>tg7xjbpyNZe3tQyc`_;i7zRK>JEsA6;^4}(Cf;>8{;EH>lhL}nAMZDhAg>K8D<=HrzCWXAk zL)54fd>3-6U>7B^Dg)!ZtSn8p8Ab&V|`SYbK6@#4iMsXgUxF4u@ z_HT2cak~LHpph(@8pHkTMr!^1Ux^JDT`+}FR+CymuKJ42xLy(N_3?z3WtDS@vR5v0 z-C8jNUwq(}WFTf;pr~-y=JE*D4&id?+-i)92FGf1?FjF;4SEl`2{)D!5dX?$!=ADY z3Jq9H^Lk^H_<%l}_So%$XM7*@fG|q{ab!tfFu!`av)MVB(d~GKzxWE0Xc*pExKPZ) zhFB#s+UC%pXLr>tV!bn!GR-b4t{9f}Cs)8-p(UC=g)Wyu7}ry3BrfVc*GsM_bREez ztWSN7HW$);k-)be&aY`{KEtP#{IsfG>!H9M?glCL>U)XO6`4e*McVDUZP{?XuU4LIsZhm7sLsGmhBNy*@)z|2EXRMYe^B~Zk(-A9aA4{!W0qiJ2(E-R+O%fI zn1jpG@T6}KmpxtYBmodcNCMCbOcEia3`kD`j0UVm;^jbjc@nFJ03oMQ3`vioK**^m`OWgd zs-6UOBf_a3A;Cy|o0Q%Ki!*YCBYs=Jctdq%pu`{ee{{jA=`^<$_>PK-G8~Vz2TGoz zV1Jax>FUq>-ae)FnA0R+DAFB;K%NE#>yp$1_>TsVkdgeqYJk(4{?Y(hsUF5gQ&%De zTcuj{A6|}59=hjbct+z=t45;mO$ha6%~uIzJd#jjSExZ^(RopUPl5R=iPb#OVdMtY zt7iewvHPw}Y^itbD*$sZyf*tE&vAYCzn9ZG_`z}0Z=#tj;b#ctYi)Dtz>81JnLZP{ zBI9BlZO@Tk+#;iJA^YT7TdREKKp);dl2`o6vv_0F>*XW8cg_;}Tg_ z5wdRTFanKYCWEb#>$e<7^xJ~TqHEgRX#MVUHv8HbcFqeq3YO2#T5FN#+`9o@+C0pm z4N$r3J80PUVe>28b0i0$_(Z3TL(Fh4(K|56-+gyMok~k52c!)Ddc9o<@2yV2yJ%YjV+pYw=RcY&!?iS zafbQUYOY}kds+C(6Ne?MB>@6!Gub7ThFk+DhC^oWbJs+ui`p%#=v^plZS|zj$A_}C z_il+wa|s7Gyh?GU@V&eds@IYBiQb$>DX5q}@G`w@UW^F+mDg&@iJrXF^xWkM3#k<5 zjE#U73?DCV#?p1|Z1sIZ9;o@!`JY#c&*2tejHP}Ss-b)n4tnx%NKIO+QOol-FT-A> zZl`NrU}L!X9eJp{9y?zfpMi!0ujGv&UT!q^`t>ZH4?L~Fq+T_9I-I@H_dOJ71&}j6&w>F+_X0EEQ&M}H{Lb2ewtos{=^e{U*lUTgH5kSR7IzOWub9C z!FV}*gBLPPNgmGw@9@403%xz3<#bQPJ zl8RUn<&Yt&@Hy5gq=+ElcI?L2yw@DkEau(qZQvc|z3%;em-QL*RC`iI-#*ym=8{VJ>hnYPDW0nh@J9^4AA@f?)_=&ZR@$Fa-#d7 zAI1^W(=dbZ7|nL(vU}Oy_WoB$NPfthC;jk|;a8C1>WObuG2Ju>v_qDMvYeMpg}dzH z?!;8P#hUNr4;Gdptw&lhefeJ9I|n?VK5G>GT% ziFkqN5f(fYIJExc`|H?_)G$A;cxt)}mDB-O;fw~ChhGLZ+x7;hQdaV`^7Qd+LNlOu z^1Snz^BMCV=ilw|>`Cs?KvdY7b=yRbMlyD~^&r0Fe|bD#%yK9++vFjzU&t;#ES@NA)4iZGle2$AfxlIOA}ulfzOe>< z5%rO1o!E|OMD4rU=-Pt5%(QiDNj@3|38czYOifFd_|)K7U?;T3M)c8_RHLLFeks}S z8risP5v*;~)V5CF^=-eMmo`C`?XY31T&t>jTS6i6?V-s~Sz)=i*=nV*r9xXbwm+yY zv<`JIK;XHs5ZJd#*a4=OXgd5TuX@ja)hdQLTD40`veBhvCURO}Qo0efQB-{RF$x%O>x)U?>d z%n5vQb@)P6w!VRO@+{L<&k9sZyFmxCfH{QBej`$3OD z$O_l;0=I43*X@0Co&lpDx?Re##SLkkXCinbI0GIZtnYQ)j_`R<7607N@c@QCSC?PF zxMKZLW;|ttZ#{mMQ<2s4c|%WO@fV-I&F@^J3Z{7LubxxXucPu9b95JTG8I$YR+g6+ zMiH%A-kX_G3it}}3+$H5(9{mmcQ9-D`b1SHfb*m0`Q+etLT%KbPqgD)Td=K3@ z`UmZn`HP0q{CnW7iXqLGQ5e$1`;@l+XJv-M+{WNhe+)EWD9XVBNt$w>j!wycG?f-}T|JD!xA2CJ$9#aG9;*KPs5O5ms zpI!q`|E0g5I(Xuc4m2V_h$xN7Ul&kPLPAUe=m7l7CQ6bqrxy_OmklCG(pmp)6N8BS z11AQNCW)v2!HJ2G4k!NCCjJj!5m5-~6y?8hBBC;M7f{jq#NKy}g;5!%xEJ+dmmT!hwECG0WjPtu+cmfS9i;x@K(r%Tqv1&Gzs!LuC?u9}ivdXg zat9j1F(?l-j1W)azv2-Mez!vxj&#I20l-ocQUIVj!Uaos0-(AJp*gB>7|I?_tQ&(R z^vspgJAKY-{xL@lP2hZs9p_e*AYNpsIIOlXgav^MzI8!qu{*gnas&|&#dNl<6EjKu zCUb7KE+f@?Ws#}phU9bpNBg@BN4iJ(;&VN?`G%ICK7q0&)i~Ws?V}7D6V3a$`mFkq z1{7!D>1Hu*Ix2(o8h_VXN7=ozt)X!I=h>R$>B%#%qdi~-?$fsJ5qaQkobE3E3|F{k zs>0P|VB%%smxys}G#T^kmPy<)&6q5zdHXEuecv+e@z!f4C&rJ`7n`Im2G$PsN8$n< zD-CAueV@SPv#AzW(vkB}h20iN4kzu)4Z)}%ASG;BX_O5s%FZ`Bj@A8HSUMIu2&8a_7P~)5wE5&-*raK6~(J{M%F|Ac` zH_x#3yP5+IxfN#y;0a3ArCccNLe z4CyuB2r1wF_+x4Ycc?@0SStJ7K2`X@@@HunmLRwm1+8~2pC0p{hqP@;c-}mKn^?RzB=^~bcMSJ#G;}0%igLjD`uFk8e zMWqY6-zKO6Dqa_rTHQtZ8V?NJL-!xf4l*``E)SG7p3syo?BDk}DK1@TqBKJ7)E(2$ zJ#HODP#+(gk1jjwG;Q8{Xne+>6LLeMeg9@+p;ux1WxM(Q(M;r5k>jOq$e>GlPN$2gCNz`Eoo#r^61F_veMWOhMdwM{ z)}l7^LIsZ>BW(6$sPcmo(niqWgI0F-YTHs$)Vmx~42^d&6HUr96?u$6kFkmR_Va>_ z{$VqHHi!_AJ&Ls~WbZg8wi^+-c5%_I611+uVT_hzHpA}c-8lsXfBepIOF{Q^DK6|`1*uhd@sO;Om~WN` zzn8qD^VFU>Q+ju2s5?WRPnVH4%iB^_pgp0NPYprY9nG(|n5vfZeBpgsyPKtYpN6!r ze$4pQa|{MALhWKzFWI=tMO>{+US1sqlcSQxV@salw1@Xe2m2BoY zW+A@PzP2JOqKEy|d@JNXLJgW`dd>;q&tIjR>$|vMb*KJSsFdTYEH{O3Dmj~vZk5|B+&S_L6NpP%k`x~&u6JZgOa#M-BtDoa^$;&9nu>8vK7-MY|S{EyEK5z!vo zXZfA=QH*G)T}FdjS7$x#?oy}kqwxd!O-b!!o+;<&rO9Sx2K77@Ho4d););4_y*^UM zuBm=D#;okeTkfgi7T1Rd6%5G&2brGo^c%z1pRV_J)$N+6reg79hmHwf_Fc@lAdkDc zd6;flO+IPGOBZQzyi;dS$0?0eij_anbAl2+pRHtqltt#Ek_(Y3q#UR6I^>nlG*tsd zPXg{eRQ{VUSrm}P7^KaFAQ zfdb1Derl7|ap+B9>1`0BS@Nz>d}G@MFYD&V>KA-AB*9S1Q`TO6k zm8(ON+t>#gd<5qoTQvNUW&J%Y*P`4w-8zx}!)ES~HS~$fke&mRbB`fZhu`03fMZ9; zKLV3JGj7`i$#{rF8cF*f56A~1C(N4hQW-578iE~eOC-lUr@7~7Crujp#^wu4-1I|R z4CJz#$WJc?konOZGT>tl*w$-U*M`06^TZak+5_qDRMsmc)9aZuT}YZ)&C zAIy=^T-|UI0~oM)2h(1sCKu-98Lb=HNdY_<(RvO8KNSnQ#?Uv;{on_unB@~IJazY( zrePI71*5j)d*XY!E@?t>nVhHJV3|gpO+#Oh-)n~WTk?uV`H3-GDq21ANUmh+~ zQD$H%$>dDpYvaR}X}%`;KX&Y;QeSUS{!HxM&#eB)OJ5iB>bd8t#qLrc7k_Yz#F`#_ z0%ZDaK2tl!T?gi(Hiyv}9N1D=rEurEon`tugT8r#@jwDlXv;QETUel`G@g@_$wcOA z3L6@YVVxmIXxZO8pm)-;C7d0#th(^z4kG53C4NQeLFB8O{w{UX=85l^QvYytZ~pZB z=WG>dEmoXmYSq84hz(WzZ8~pzwqbt0MDYk+cVL1AGTYcB;7Y7(ZR(Sq6@c1DXu@{| zw+gUMz^$@a1Lp=n^*qEAVHs9UH#ZQ`W;xdM6)9AoJm;!*RM`Ok@<~P`-Bk`w{zFoQ zGn&lHKmO;|-bq8yTwBjtPtfTxZtp|^w`lL>9dWXXTXbI%oPa(2;gruASna+U)2DyroYrcMv|AY(F{}6 zNRw34-GnPK&qtk|49{uOG-*B+6$D+nqTTw0gd3u2?51k)H2)%)e<3(mPg>qIowr86FXgR--msYVFt>Rq*yI`Jo3N$-VJe(fW)B>Gi**1q zyaeA_`N+5YNQS;S?x`&+^V-GZI&kw%SQu6-Qn4GgQo-tf2SUQ1@KN+L#>n191eU-L z4i#DUAz9GuyT3CIG#eaY7@+MM9<&gp=P8J0y=i3>`REx#?Bd9X-db$epx9-pM>m#0 z?^9XLITq0*4kM@LSAASrE4k&~OUp=$xr(?p^G^m@pQa@oc_!I}2jN&%xsE#yO#@SD zNXql!Z)WgOt_VgF>rK+T4QEk9wm_1Y%4Uzt0q&gj{x*i4OTvyq#UDRf>5yhQ3jo)* z@mZIHRPOta7&gysuR^`|o=GQQK`J&V7f z?1e_R1E{(+&VL_@9ZOBgI2j535nx)Y`=ghMCnz4Kp$e|0HyHl<;?&}t1b{?M@%)A& z`}%o?)(dZ2>1s)67tWtk;*Y-IZVOrnz50Yy6~KHo_)Rv;^UxAozCv=3Y&wZBh#Lzw z1hya{O(7aGV0+;ssiD~A%wT~X%0a~|;Ss%87!9Ma0F_>j$_TS3>?`NVROs${5Q4MLC@dS(UB6^u_pa z=C-~aur!xwXiaOP+j;*hxN!ZBc0p$Um zp1O0+(Ae-g307E^H6vD3-84IG^xAsWI^DiBo{>E4B`gjU&l04|ag(v?Tor2-`$W7< z1Z#I3G{3^^57{Y>%@~?4bh(`i=q;t+6+e1EGP(GGup3KQx3|*wt!~|k7V5mWVByB+ zX6nXJ%i2i)>B@E-ZP(t;z%Kk)-Jdq_qC$Mub$*7pOQqqO%7RdlmkFcl(mJ&|-by_5 z2hn#r-Ex9!Bh9pKsov7(;BDqL&~)H|2!!xlcfG#Fm%%;9-2`~nr*2P+zGbfaNf~)F z>-s!ji$S)ancxNfovS87ll)jgD+BNRXj2K}ePgRXQp(I;daJr??!KnC>C=2z(rIAv z$~YHm{3UX{8hmd?UB*~O#it4#`;BZ>` zz9CJcBA!n+YKVAMjdBXB7GR8t$ftR}{a!>zW z^Ty40kat2wW$!*0`V{WI)1LhBPJQyzYw^i|$%)CD*IuvZClnDWh;ZkX2Vcjei+8b? zUE>EhaOnv$QEMNk!X<|!Zb+Cq;U+jn)2GI#zD@Lx7mds29vG*UZoSMXYEn4~Kg_#) zuSZWKyGms(Zx|Ly+41b@aH0J^C?6~7apu8We^4J*FYepzYv3Exs{~`p!^8s-$#4#UOTY)X=p-vd;}eQ6i&EcbJr8$z$1d=_j70cDTUf zEyhK{M5sg>gtN?9&AKdIt2S!zPOhj74tv#ySs6$(ATE9Y4*QnMsAq~B(z2g1C zPR`Q?&}M2p>j^J-?O3#?G~#G8Wy4)|xoq0S@lg9v0M$7=($MKQ8nwi*YP5x!Hyx3h zsd?wsKk^9`F)t8Q9rWZUX=b7`#Zb0&GvD+E_`U_~wb+DMv{{c?W?PoOwZ*<#>&M?4EqYb#Yr0t`Y9Zg; zjT#Dh6aEI_9K>HODh%|m6LqlGe`+%JBB$aYaMLoDF-EOR3R3G*I2-+e|GjiA0+(N; z$ED-V%dAtPBcwf#`iyKoP8>2#ydUr(p&DL3_|j#>WYA=BYIF8u%{6{g(GeimEN5jC zh61M17oRMb{I&5e)YPCRwp^!D$AZ;r#u|S2&6|w?5A6fZN2YpyB@SEpAEq088p^)z zzMn8DxMyl{geNJ|8d? zKQturLIhsoR-EVY&9=R5VBR}uVy@ez7*$Y{%y}+~CyFyD?Re{;Ln+Gdad~`ofa9^X zE5)1KJcbRcPcrWk$9cEnH#u*!c~{r;yee4s8`wVLnvgfaSgm@`Txx%q!;p37b5{E8 zM30RxUsfhyO*+2Y=?~>GCBR11j?3uG-kSeN#+Re73O=6>PAjN}nd5Ejt-scAV)r$W0(VKRx-z%VoqKhu?I?=RakETs?0u>=^(?iZOF`(T)yd$>j8}{IDOikAPV$G<{^>+n z+Wo?o_dmyR@NMk-{WDY6G6$RFMuQ;Cg2<-p&xRB)2JyP>ifti%Z?z5lAH@2Jsu91gat&9N>g`H*uhC z36PKkx+0Js7=R1}=7FSW1wD1kfHu7|~-e2msI#4fP~&Tqw+gNOfTdG|a=* z!3FLO0Adj?_5{ck3PYoi0H7TjPBbKVLSZn%2%QpWk07MNATR)+C=!LWhdTg(=wC&` z2r9tE1^PGK$ph&KMSHlqKs~SkAj%PiggXHe~+mNckzT{ z5ilqv@OQ5P#DD4U`w!k|xC5ma00gEK`|AKeBqhZq0Suk65f}SMeGqYJ zg7*7uhebmXE^stq;|KsWLioZ7Jpcf;kPawLu~W*H z%9;=&RPT&)I_LcV=Y2oC&!^{i{qF6#pAXl4U!tZudeTrCIe=*BZ0Lv3{?K7Z0ssnv zfN*Y?0jjD1ur>jOAfa(s9Rvvl64OzJL7+-d7(^B-4^@Cd!~tLxVCS($xOrpA(5^(NhB#J=0m6cJDfl{%9TsRse4p3JIps?<=Dqw$A0|Hz6 z;ZY#4HiCq};5h(*27Snqk}@?+)=c;i6m;zyaB%1 z6niI=N%*m#Cr_TNVBwb0Kg}kWA;3tS8^LPv5bWaH$*K?6H*;j>%$MZ)lu)-1K8}FLCEu3q8gn z%mw#kbgrTFG^G@$F)#`G`7ZFM$Q}4}2)rY&=jfTn?JWKL+q*k)X(t@&j^xlS7b!j! zJEzjfUyzhD7Um-URDUlx_%hu^++%^VwKB3~`*&e@Dqew!ik@bMmTgA%BE{%tqS5gX83X|T#LRg_gaP8BOk!- z#HRu}YKT_(_&lr0!y^wY6J`VwVKH1&4{k1{+#X!Cmm%C6-HCU?M|E~N*N;WV^gKZ+4WUJH`I_qf|52T*ivB8G2xJ6WA*xi zenu9~jn&J3j`SR{gd;xa_AppY|E@V3Lhe56&oIwQ*ZxQo}R&bd<$3QaTh>ocM{k|V!l>Q@iH)KZdR zx2YA+h;;8dOSVo{nn5HjJ{!fbTaz7y9?WU);%@?bjN_y~V!rmCH;=ZTtD&etxGK{1 z>;2}A3_KWwrFnnhWUP#uOI(q|s^&sdnlh!JGWd+9%wBp{iR6rmm#|XCw2X?Tq~80` zQ>umn5}qGU3}G%ChK4N&C24wCH~=i8$-kU0VZ;q24JggaUMm8(fWXtEwSAUhLlP%T z`Eu_aVp_|8tN6iEv@D9h6JvqOb}+=sn4Y*PB(=X)qRGkTuv=MfI@JSLFaO>)fK^IhO}ed$zTq$D1eImGV(iJ2i%cnPN8dP}wU)W^{zlu; zMZxW|O>cwwbbXWQNK$-&<*q^zvEss93J;%IfF@8$_x?&Yln`nAP6_exP<0*0&TQP> zCi-o+(FypL+xWx`Ea)Bvi+=6wq)-ZUv{iVm&abIs4*d9Iu|&s;Qk|=?&NX#5laDx0HV>GImn4h zgE%sk&Y&Q$5y~Bn(8BqG93a#?d59cHRsrJl4@RUh+HVG<5--vMMFKg1snk!+fbu0d z0l<1xHUz1vQn?HYg3_XxQ(s{qC~Xut;8w7%FG=5mM4JMrW>l7=rpMq27I*~m009%t z^|e6qzs>(Wo~avR3K^_e$XOW4~2O*0j*}^(%R; z{ga-nL1WEy3H#wpPcPZBh8!ud<#|8f8GS3()0Kt($Qm6ZhHeI5TdT#lqsNfJ5cnnz zlfk{i-`dO$`o1SItP$5i_bcyClbr~Z&NMx4{_D=TBar_kT+Jq1w87+MdcB-cALL@6 zh+P=WI+^%Y$|3Mu28u&z0~VnQ>>>8eqSii6ocnM~iK{Ix(G|!)e|V<})^-*dPP!1O z*@gR94Gc6^pc6})keMS|xMQS|Nn)@t=?{K%GX^hR)`q~gz5U!h9G!i=_A*>&N~3{i z9W5enC3DBV@9#I7kL~P*uq)m=Jqvx40kji*PoVSY-?!uO^9I(4sJwwI!6Dw#-fdzd z!A|>GN!!;_og;$30Cj|Ro_({qo^h1!VF~Kd_->RpnwQRLnclSJM-;^sOcztrMrIGX zda60l+5Gvel&56H#Dt?Eeclyu@WSeD9(%C1OJKiw+vMsegzrW&Jc$I=c2>lC_?PHB zf6+IK|9)gHFKS1KAz;MQZNkW$ti1`&l&J zlzQ{+4(C9sEkm*J3C-)L=)@#AL97Apk^`$jY+d?{-zl+!8R-(I!Z_gkHqSMu6T+$R+VB~H;RNv0oNXIe5$Z%dP`p{KZ=u8+-0=*81 zpC{x|{_#6um9FQ?n92E^a^VX2O$F~97S+}=VBpnU&NnX;ERS3&@K|tI5F?#vraP+LkZ@r}B(@5{iUCLnJ0v$<88JH6*qi2(!HE?pFc7byfzRSxT zUVw~)#vc#9BzTs$mZ26{D=-|dbOYEGhbXDGy{|kbxEyn|lkm_D1FZ)H91GwIU{Z+> z3O_wd!q>xH994~@C7)Z(*yGRPZSdTUz{gxu$5!JwIycsO)=@ipfgINlYsBXXi*d)X zK8P^Tl0ZloBn{}n4I2%8&!6GiiZ*_ZzZ=pRX?sCcN7Y17v`y5^z~hX9c<32nZ{d}5 zIU+8^9rvM=Z%TUxmb5G_u{QrS9!%x z76=S7E-Y@sb`iVeT@@>7D-)}>rL&_7qmt!SqjP0`W$U9CN8XO=jZEE>9SIs49%;De zb8mWB6P=EZxbpGx=RtVII*HvozDMv&c9K%m{KQyC)VZnjyv7xcA!>@+Q zhm;GqEVCZ06y%h*YVSpSD`L0mHqy_p)t)cvLq-CgB`5Zkxo<*CNb=+#WYOlW=I~}& z|1N(s{~P`*{@a_ZyHY>S{5ZMWx@*C#%q+~z#9YbTaCALV>KV^7r^p|XRkz}9xy30Q zCj-@B*0Su7K1Hm2+Z8Q^tBQ6WL#_l05AqevNOscOfBc9-t)d~c0xAHDqMYnynrop% zNe}QD^J&F0#|m8H8cxo5hC#*K4@rkhvq`r|<=FvkI~}}hml}4xym2|$Nw1*pNH=aT z3$J11Mnz?Y^y~VrZ*LvHI!-rL%wOvd!g^x68{Q#(hI20qxjpG;? zCW7O#Q!(~PgHA&$*4)R*Cq5v2kC7vYBUeAUJEHWSXZig3eoyByXOSxQs@E9LZx_Fb z2|0I;|*M2d`oEAI6BWZ?{gz;AY@>rVEbv@v(y_wLh-B|Y*nnm z#}V9S#|EE-G`qeGOJ%AOX%*=aS=GtVxp3FNkhhTgZdRd7w{Q2IZUbbcn@yK<%y2aK zb8Mk zvYGofheC=U8J0F;zQ}yx&Sk-|;F4Bff#*%mG@VU3r*`q0(NwN##%!*6;#bRdK1;UT z(%sUr;x=P8qj!1V#MREWsxhV|reC!*;4ER?gFTYnfJN2z*2dHp^<<~5I4Xz&xa3jV zlK8kpRz7i}}CnE(8Y?ASCGD)-^%)DE@b$!_( zmN!PXQ&FK2Q}!}-Y1|yPZ6}3dlj0KeHmMHvu(try zZ{2JCer);OM8ioj8<~Ev(7RJLtwa{2{>%6@m9)=~O%XO`4Y3amYYgpyj^j=!(?^e% zg2)%Q3~t#N1yp*hl)Qc2;@493dHv0>b*Yt&{WiABb(P}(WVesGFft}6JxFQql!Bh( zw_wU{bJK;wdv%M?uD`#&7#htOM2V+Rq%);amH3Jx@>kcV9X->&!NZeXmoWfn`rfnfWBMN|az!Gg!sx3outPa5iQyW!R>* zDz}9XzcTbyH+qqI{) z@|WXY@5gbUC%*eI2(OC#Psh#u;i@c`vL|nT4ShkalHP3oumM(iIHx@}3ntD;FMI!L zN%!HFZCb5fmDEVTzVQ9{=K7b?IFr2VjN1_#d;c1{mHrw-0e{L&x>%~BgT_*ICfeBg z_sIs0J&z@#e**xp4%)*5Mb(yQ;*kSLP9E%y#*&F3B?a(RGLD48pgc$bsGJYJ zh(t69>`6deqt3VpB$+nqBGCjS+1mqy@&$oOXpB1*@jDk7Q)0?S}=BzKet2uwIA5=q?xFc`!?a4#~}6G0$*V-RE#2#oW@VNqA8*$@Yj ziL}Yx=^r}V!Px(M5dTAHJJ<@q7GyWlf$l~Fsq2O@!kbzWbx}Cz%O5uO2)u_5wG1}| zRZ;tU_&?Ym{vR=6|BPvX!dyd<&`1OT{JYm6+F$yo*5^w=c>o|FC=3Ak>j5dq%gf4x zJV1Y8FzOmZdqCK~FsK4`&-zacsw7Jd|DPBP0;B4W|Aj&2s5{GlV~YRsg}|Wy@`b>Z z{)NfG6{!o_f5wxC%Kocnc^H(sO#QYa5fEq$ia-@-se7~Vuj2^%t&mmWrWPl zjSLd7($$0-nwtq~LUoC$1v!}+nK+o3nIKHezz-`8GDyN)=l}P;*M?9N;3yelVJl4w z14C_VVksM_g$)!q?3Isk}D00A<@e;xq&ZeyhloR9UV^T7gsza8SbX8KSAVh9T(F-XYJ1PWXLNXP`ZH-fs_<~q8tWm`jm zTV{%EAD1U5AvMK^S$84deIK2GyQD4uhUEQfQ{Vt?8DsNoYAh0 z=b?vN`2Nb0kgc#WN*Z;66H}|%EDxE5T1=`niF+Lx9%iP2ask|#wcf|B!{q@fql&2Y z%Pk0L#~r3ji5hi?`eM88ETWNZ+j!Kgz9p6hJ=maCU%ZTs%>a%?t{sy)ynS-D>$P2V z{j2Yrb$Uk>IHtHL!9)|~yd30Hm9MEgYwA9FE{97rZWo@}gRS}exlA|`OgpxmcCZVz z$4|IXw^Yal3XU?u#hET!DLYRzL|3Sl$zrl4xSCq=E%h217hB`z2a;mvC-5zoO5cC5 zXA-WhBb2X>)w-B)IaC)KEgsOB%ke6E+JupSQW&jK930R| z=@->m;%*;Ir=%00VG9WrJpiYm%qWO)=)UfGZbpqpPk3?x(_9={#!fYjCX}e8q z46knCeX14!aQWMJ{5OPh`~i^P5&C}uj*0P~5O)*t3*R#qdDyn>pJf#G_CRe{aHS zg1655u^y4!oDtkF`=!(A6Q6=4RYsgMYMTrkPcfyGAZ6MLRJe{(iljl8qpl*RHtb6c z0w>u0at!AjP##AA7?*vGQRg zboXp zhX6^Ga4{D7(K?kQ(%0|a2XvC_zeRB!?^qv4n3KNaWVK5R;Q6%!k=6gFvlZEw#$KFoQ zeKL2P?E^lL;=BlvXtRc!LBt{>4k>bhtJ^KHx20swl@wR3We-Bjk=1%6r3E!nn2~_cM-6L(Wq0D8A# zc>w4=eoF112?{b#_QsNAFeneYfnKk=dNa~o$YF|E(@5?2{fa&mqHAZ`M=sAtl$jq< zM?JX6@?bZ@cx4SQS?ig~sDJMsnrg(AfQBA`$b1$&P?LD;^jqUy_0pZ49lR}Wra~RO4_l9B zJQM;o6p1&)tjMmbFKth3-VIqz8G9VHt$D7WuNzsr7UKrO7g-!#9i1Y0cR4=IeQdjj z0lFS5Bzvd&!R(1`?NGHDp{>$}&A4G&P_ra$9V(Y-<~a8jaTlZ%gKM%eOLI88Ik5M3 zk>=cHp{H7?iJ_cQg85?s-fq#&;JV#(6CIg|m|*eiDZ1;(hY~Zq6=l41B8vIZaO&Cm zCxc?w4sn`MM|&E`+5w^Hmi7TpHmKV(Km>Y4HPD9Jrq2Gze#u!Qqz2>b!+mc_Yk|sm(Dn`??wb?4V$GAVj?1M-!6)HD{$?~6OA-6 zlhLI&*(|hQU)vqf{*Bv%me}5FZHI;1Q_SG5$BX-z4^UCTn4I2GyL*pZZ8Hnhc@rAX zvRMq?-+q$6;%amC@)`}@)do_bF`rCUIXI^+e0IBXr}up4C=^Hrlwqq*$p(bQ$~nocL<_>a^KWdT9%aB>JN6ag@ z>^;IEirv@p*nwlls$)?RKL%kR{E;q!j0BR)kge3JY=#Bu)!iR;61QF~%eBiHrOQ^@ zW%QoJGRDLTmOx9?D1(azJVl(v zCa!K1kO1H8_?l)zEAemICwG^KZV}zBi|gyl{RHc?=(Sk zL86B%k&r##I|J0FkQZ4NQ7u6 zaPU(r-J^;yA76h18?NY`C(PtJ{9WL;k47z<|(bDGS@w#MBh4SO`rU-FvRBe3mijHTP zF%NxN?fxs?*#1Drzr!2&A9EZm;%B_Eu>2dmiNQEs{SBv6wbj#C|1HNUe7$X%)K7@{ zNziJ2Zg;DB{H26%1y9St@>Cxe7grF*!V}Dd`SgoBAdS>P)LCjh4V@LF_rkhJ;AiuA z-@o>jt3QixZp|JNHAefGxZ+~7uXuHg?P^zHm$XnMP#HNV>tlF(8oK6UXZx;L^_qnT zJpTw$@l#iT3HcPM(#pMawm9xY{%dlBh7E>`lX2>u6#KN)rhdK(Ne2uOX+^W7_K)%U zsUC_zdAU{FGPjQ4IKSoGFQE@v4m(VXXRdeOv9U^cFF#73$s%KwK)$JhGBdec8?tF< ztshl7+ox1VZ5;omaV$mw&bUBC{t#Er$)YGu_Vue$b_R6;HsQGUvZJ+&BlwmA?3d1L z!p`mS^1DLZ@F1cqO)l%xZO_+7k4DBrv-unzPMt4fUJS#@Sip-exB#?HC%hEh%txZV z#LuItvUzoB0->jV&FnUpw@Y91X9fx8Wsw5oE}bwC_?ceTf;NAPZnd-#3r< zjU@M|TbUaH7TFfEc)wuPSKbcMdGV5!HO$`mqnDqw17c&^t(E@ncgMsy^k`*)Kyk_T z`5kwxxKF3FOkr@3R`JV5ptuy|7SS^-W&>zln9;s19jLglJhD+o?@|2t@v3c)=Kj-@ zD(&o<;nKCb(mwD6_u&NBib)kwom1Uzzd+0k-G{wPw6nZPUY#YW5+|9%%o}GY&{MO?5DFu zrPZEl4Mff9PZ~xjYL=5msq-hu845Oj#AWy(7TfVY*C)@iEwxt3l!|+GPi<$Ru4;3P z)!eW&R}&-yPI;Y9Nj@|;c(7YV%F@|7J-QfY5?c^W_AEy4L|JJsaTzr>*c&knk24(V zyQDnKCyX0g4*fW>GkAGBAFkTqSJ?eWA%*E5m6V%^|2No4NZ~V~*7X(a-A6~WTy!R= zx%ZSr`qNB^BOg9>DPoJ<9rVkKvM^MZ8q_Yyb$624D9HYJ;3X!*tp!5D8uPt-3^Wp$ zxukdaWg6e2WyQH?s_(&FL8YknrGb3yUm7AChr@Qq6 z6StyfvUeqWLxMKlx|WbUQaZS76!)Gx(;XCX@-?`p`e?83;%+Bamt66b?*;P=zT}wV zvr~I_%iuK8JSj6g-YzXpO%kG0e0cwjL9+0JH8jM@_7$kH2fMlNLrpjy1535Iel#dQ zS+86IH&eWe8`i2L>;76LyRsROi0|Q zE7Eik3Q)S`;y~8`Q*?bitVbF2V1nLq13R7*lyRCJM?yqf!%!w+M_Faci8uwMGxTmG z0Cf>&slt^pWM-(J*cV6Q<~yH0gQ0E|?**A!&;5cO^wX9LLj%hFQ&uFb_eqXkGLbzAcYCp#2$J4gpk7)AR7n_PrTak+N*t zG`O$cLphTn9fw|S5{WqMUc6EzgIw$Mh8rF%7XY6NA*qS$6?r<#VIKTseKyA)$5Rs`5LG;zr&N<= z59!H-Obe&VYN9~XYqBF)1WMjM=QVx#>nRQgLbhO!A~oWwAmxUvav+;;!= zQw)^xPjhc(gSNCnU3!nIl_+a!i((E46u>6$DPPaDNy5rYUx{Z6Y}22^STx~43tlzE zLd?GrI>@kjh8`Ia5qPl0KPw#+Mwe6eo`fa#A$dMm1wkN2L2(~})ubxD(=5#ezA;L0LZ4PfGW2=r z)RYsZ>X#45GgI)k&*^v+u-A_%COXZ>=620-(v-}?- z3&@y+3sq;xee)$nr~|k_ZHa}XBDjR4=GtU;Iulp#df|+)meU5)F74<~at=WU=0|&( zRaNjP7-&rq-wE-C;Vow3%6c{^zHCmaJ36=ig9Q5spP3QgnEV6lW!6nfh70I+EG=Rvc^n%1ctWUAcWU79|-23 zptIkPWu0fkUzmtyY!YLiX9!-nU9j+0zKVxe=2^Mka(ib7r4SYzpq|)_iceHW-C!;5 zhkDYfGbz;@>hW$%FDyPrz9Y=9GOBw}Cr8tj3#cr?bP!l&$*aR5V+B)BY{x-rHovPU zRNFNlo$XewQ7Oaa0&Sg~=90ytMS5OV4|wyYs$(MZTr-*~oz0xLH_xCJtbmREb(X?- z7gpCDZ7i#ef?(pw#?~qJWR4?4_hY*~BFObvC7H}2VjID3X)#U^m)M5Qw4%svdwlv4 z^UiQHbfdE5Xd4(3Em-Q+a>TWpO_P#hf1k|ND|#4Q7xi+}D}ItH`f8N*I^iKl1pm$x z<%B1AnZ~Q1eZFp7j?$ecyL+n+E_u=%@rZH)DJ?s*D=Xf4gE4F-{S1Xnw>tb+ko`x& z1jtSQAX45${0uS{$iD!Y{GTB6LDvpi+f=}O&7UGu^Y==U1*;eUncgIvbaz)*t$hNI znwJ=#{oBkP6mIvvHfBNnkM1E7zkAo#%qBn50o9~ zgqkN^XlUIPH{dr*TFYJZ8)sz5#0vAzB+h|2b5Y3chsPJ0alll{z}iM^$I_>>@XYlj zHt*9GCsO%jEfWY(g^SeM#V2W73mZ@%$Oz&50D*3eVsb# zB+4nf&AC2do3~q$VT_J4dv}}sz!{)YJ~^Kz8QIC+c4+@5AnwY3$bo<*%5r>zGb$`E z2HVt-`lMOKKn({s86*L+AND}7VO5V&u*r9eP!%H8yk04}%OYazK;8txIX*W{b@J8$`?V7@qq8Y22h$92r&FEjjY|c&uw*6HDI`qxxoN_tk z=v>r@Y!%|Py5rK0M$r*p3J)_*&(6G=P<<2)35rh?zj()&J6oPBmwb1UY2jw3F;?!< z6#C-a1C*0IHEU|;eM_h{X+DUuk9)`n7Wc5(2JdeMz28i|A#sy3)qcN1?>}lMfav&7 z(EFd-$-k;50qDWZxf_3g(CPdC%x}Hpy|Db&W}y+Wu+rMMv>*Gt@~#)6{nz?NtjaXj z=Y{_F?!APE11DJ_B)BzVoDKor+_e?p%}LVcv1we<_vMrne4m@2H@9IWg ze#R&F1Q~3i(qgnlv}ihB2VHGAo={&%?MdWF9un#7E16EVeup8t*}IbNYLZl}q_Zh+ zGDr@W<9sUubM(!2RYq&xot3TU zm_w7aW{Gp~vlAkxyzxu1RZHV|wzJ-P=> zv_jc_zhL36l-wDTTGRcC*$!3wy(fY85r8XxJTxqRux}Vj$^VF3kQV97r)aTFH3rU9 zXObnY;sq|gcihSV_+DacH!@Hvzx=JBECLEjm|z)ILFPJ-lT(IDVks<|u;gepwXk>a z^e;rN$g*k;AaYTX^GDzI2?f`zSl$IXx~o23BrQlS{ku7%XLzRfTimsn4W z&a%lc^KA2Fb>pwN`;X!Y^FN9wHxWOlJfM927kwyVFx=Juz#ZVr{ZHHl5>4nt6`F_x zw(PepfAX{Vi07&Ta3hi zo9TrAVtKiHWRFn5-XW^0woJ@{%|?6FU$C&g|M(p7`Ni5!ty|EID`)$~0&a$LrEZIq z@E+RH;}UzUh=DE`i{r}FYOau-Cr>Ed;_uqlt7vpgCcFtWR1WYQ64$>_^}m!^M|s*XdI4Meh9KZcKeEP)~auq<(C*VK)!%@ z4Q=Oe`~V#{2gvRFOjmb%!}Lob^;gIApOC|ai}IvA#xtJ;$I-sB+FjKGXj~I#B}_G; zL`GhMxdnKvHD6}#*rL{a0W`}H?BdL^GM(a1oLH55xUP3-qrMqNH|mLG%hUJvY*hBF zUnKUl0xK=k>|20&-|W1V8kSOJ*>BJEi+vnnhbeCL%C;v?`NV1<)au3%=KwTIJOFdj z{4mYZDxV2>2}^h{$~n8ugk>aV16N*Pj}9__?9NTWs+pZG=b%$t;j|MekA3p37VFyt zWvmmgQ)V2!(($)rLcu7DREP5`Fa3>1D?X9fWl`6fD+jll&m#vw*A40FUTD^|3_4Up&h_TIm={Li@T{^f~3fKb~@p6vQwhvSx zmHCof2FH}$Pcq_%JM&BvY(wo?0iwq_)AQleAsl*Y*G%p(desHBVKe23v)@sL_t{CB zh^!UUSQ)z=+98Mae8wk-2Ac|^82xdtVV;lEuTs+Z@zqig018){-qbA@wL|o^sXF3U zsQpL51nAxRhZJ`c@iWx^ZOhl6DGq?z|EwX;nJ0ZBwf7y?^0l+PvY9E%u52@^V0_z0-$6azCGu~@>f(eOokFdh_=T_wB+OMRK*y#a#fGSRfakdW74K0K# z&(4e_Pb1^xZLsot@z8<%W_=pP)wzz6T~8tFen4Fw^wc+X^p;IN-`Cl(fC(`nq|Jxr z<52ckYTWL>2qqlcPo>Ce9(JDJ|0uzyf4V!YR+{NQs6f&vpr`5JEhh!%gktCJY2lQ%$xVw0;6|we8eJ&T_T0)xZyyQh?{W? zV99xzbqHv7S!*vj11hET_N;kN$~9|$q1Ytv$0mi;8_WT+$?u`>>_&+?hQ3E@P3 z(Qdg)QB)&<$|5C|k&s12ssh)9Rm-YA5AO_){HsX02@@$}N-7Exdx5W(0w7XuCH(N@ zfVLAzg`LJi(Q}w5=gE1?EatGBqlW)X#c*p!Le z&a`DOa}}B>5TRvN|3x^NZYp`)imldk+s+*o1JG@1Gp3f5C(Ol4(%XILqaRD42FD=} zzht2Rib_Z30Jxt*v^mS*$sEW35((!6TlLuhTKNBE**vYu5;(MSe^931uh^| z+7)&umhP^{{cz>HhYw=P_>1>vB%n@KCDq)@Wtkod>}U3_j)>bfb=Z1PuG6TG*Ev&- z8q-|W1flrY)2A*K0yA_0H3Uos4f9`sZxiQ4B|MtIwr#&(BWTz5RZM!Jms&MJ`p|(H zV!V2q^R_K?dxWq3Xam6~{mWpRsLpQ5?~eg{M)a_4o@RCSge=R937-2&Uah^ zF=Yx6Q_v~UEo)yKL&KehaD1YnQL7ljGSykXBJV$HDJ=h}rQAgPg1mpDr2q}izhyg1 zj$!+@r2_5euaNviw}pN)!c*m z?Fli#k5V-Pg78K0FlC zMmd!TfNRqT7)NSK zFt^Ef%)&!Bb^0!7!52^1U%1wr4CuDpd-+Y)kkZllV@FF?Ev(I1F@{4C21#tIPFM@zhw}q|IMc+_k285`j`m!UIJgRVy7!_LUr<@jRLxjCuI=Tu>o$ax zZ8;QdS&PekLZu2i%+5xLZo9Vy<4N7ewCN5M=)<_-gmRZ%LOy{QJ}!| z6VyGVcP*(_Q;*BPz0aLr+W(|J&ZOIs(^Hp1_Jf6~iu^La4HT}e03x#Yt zlRCj~ykCkm!^G8}Ugnuy)xBPp3zg%-RgN37yz0h38-O}BlyO`S_ZK2}lOEdQvb+(i5gJ?4J}y+*T}q(^ISf+73DKQwnq zsT2+w`WYLJ>md(x+xA|}Z3&Ev%aBNXs_593NpzbY?q{24erdiIDEGwdP3u3?p6dLq z*Yfx#=>-5uk72=R;3nx6oVi*aE4spx-U)`rLe=xihz4EH^IOwwQL5IKp2aFBvLIt$ zZ)JzU)gQf<;_v(O=C@YxtJ9Nas;hPaf0zZ&Q_rA8P(^aqjz>q~j(}G%1@j78+cjzn zk}7f+J4L;2yaFm5@vLN^)AHq2I`Zb@m#tj)iJsFgkBP32!2A2= zQZfUO*R>R~Z=E}fV0GrVTWs>gWp*V@h@I52gWd$-_+CmQvGP7 zb3|LSP}AL`>{4;t%eL$lr$Uo)%nw<%cw9{s_?D#LZQm#h6e-C7UC%X(7FFVAGC)rO zSs^-$U6!*cyE=~-`wg_*%9HhUG|n*L>3GpVBX{E!^e%VmaEeQYdPLuN1yP-0e)hqD zR}i4-3JDX1c?Aa=hV%j*R%vO(mJtG{ddi#e)e?~-`jtT6Qg2Ppjc@R**9!0rq-4Nbr5j=y4Uit9Fw)FWXAf{WE1QGF zShpW&WXS1j`Zafdq4Dvl2C@LG(b6&C$vQP+W*>oGaSf~6t#4`79lrwZKZ+02Xkkk=mH_=XA#Bq zM!V#8yDs(^vdN4XeZu&x>*D+<=ldr8_wD@r=gq1<79heD43GZ)O+sFg#x|J zEn$ZT3+9RX=s<5Xu8ZVIMH*0JwwCiEX(bx*S>^L})`4&UckaPxqv?%1_v-PDJC`)^ z=4M0B8$twInotraM_Dn-Sm&b78)~QV!5|w*bbwwG{-xhn-ug$P19lO?5?u_L+6wxq z;N>tImYZ`-C9LsFCcEYN#1CpG_T|xEshu!D?O+>vIDlSDI7?7;dWW3P#I{Iw=TuQ` zN0X8gLYU&0?B8XSwZFZ8Y+ekCCl6a}oC`X4lcKuEO;sBtd#XCXpfO6?z2_HMeH;Kvw;Dezfg8IPU+UDArLYDw!eLg{|q2O@{H2cCTe8uzmXKAa$=oG5y2)jSXb(h@jPpgfKj1 zLc$dN9DIuuEcn_&P&y>z9y9g)+f;#&B2xc%x220V@8Sv$TUtECi+rh*hdWp6u-g+m zM|9$9oLJX4qrdAiT74_{yC-~;xB}8!)MSN+3u~>u9|H6>5O1UI-GVc@HE&T;!jF9_ zbSL_b^Z0v{XslD5x@vUdvx}!g&)zrQx=swQQY2-%_3GpMwS&_M63KQa$(j7bjr@(qIEGi4w=2Ual5R07j^fRr>T}ca6G7gAEJSavv%*a zin*Rr+Y|cIo3G7$xd_);5`2p~bedt+T2{w|UOSYU*@J$`;nuuJr~2L?NTItAs|%yG zw_Azf0ePk`E~SdB_lGd7fQ7z3iM4>%Zbo#-2eL(`@n~E{`~|C9dVSv&A3B)g7L#&~ zvvaUBn$nxrQxChTevb`3v5i#oa@)ZbBsy*WChr=JcB?Q$w`}6v$JFrAE!EB2uWBxR zdNe?{{EO>t&|NGEtDV(kS{CW_X>+EhRm5&58qN_dO<>3w1(Cmq`UT^E!#VYsuNfPv_b@fUp_ zS1$6E;#VEmIt@Z40YF@XJtoZaPQK%JAGS*5k288 z%^q?$AEwv44$Ma~K2TzT4*cSG3c+~GaPR{6U*U(}qY&U1x$}r`Gf5^3Kim6jvfjG# zIyLl3^({1kiX>@+2j`C*5y=>lG8&Z%@0-AvXh^Z&3-rQi?A&8!Ct~oZ_#9yY=Zv}I zCDj}?e_sLlnS18_x0v@iQvw+8V>b!$huD)N-6zQjevo#@kZ&@WFpa3nUnC^6L-`@X zix*6<#KTd(5IuUgm=c*RmkdtLmPULPpT#@;W|-Ot`S`wska0@SK=1l3C>rRD~n zr8JNH{o_STMH56ne6f5)Ly(L&0Jpwz#C)!KZgbA{hW?GzoBFSmBj6F*?1GWiEQhT9 z5z*nv5uxGPPb|YO!$ZRrpX@%(4e=R%H1slFHrg6s&)J8fn+A5_@5F_2_^eHjda?De zlCjDg>xP??}88SKWM!NKeoZ;VU}Y-XY7TTvDF*%gDoM7dV?BPJrA|NFiWt^m^x0N zf=eJ`OgT(=%sxE?-SDe5JwEjP*pk@%0SEzj;tz(xqMJ>01C<8pJ?T;CYv>XcaTQvX zO-sI3oEw;$$D7R`3m>931$}G*C3Uj}Xv?tZk|nZ^zH&z>#Omxq37@(WtoPJbs3Q zlOYx(7SNUI&~|uw_+;%v)z>O3l}*)jGt>&fiaIkHJ5{?tC(jEw3>S<9;jnhE%uo8+ zYtQ@i)kf7w3(yP3O!U8rexosOnd+-)aq9P3#9EQvww{ykgG^M6*nR1nHGelp<5ubx zd=0+FyRCG4`t9o5Pkim4Bivn{rzOEZA9;@9(c|%=k%z=WM5E(daLpmw8p@j8JCFXi z{oBbWP4Al{-?|iAznj@Nr?tTHSNs(7kMo{sH z+DgnOa7QmD$b=lc{*3(^B_Z=Xb2PnP5=CMv@f!^fWgQP(RLDom*CO{bkS>_ZSPq$e zO1ew@OVYaHqPA7Q6vz+QbOj~?ifdX~C;Eopwg?uhF~=-L%7z_MLO4%E608y!%{8hf z4kWs$4qOf!)ZCRCRR@%llncu>py_L0&foNBr{_4zZx%2p@zl4O_qdmNl^GhlQI|5% zft;%t^i-un;96zi5SkD^0Sdd?%^L*((iqGO{Iz#Ox_>#PY;wMd!>{ z&FW7hdgLS2T_!_Ibql+bP5R`zZj6;X4eJR4R>ESm!80$9{L!1-8_q&G@ApB zrpB&0d$*yPHj^Cl%!(+&J3iz-gl@5?+sDn%eVl>{14~`>PgPA3%Tm*@zN*Y}j6@7l zYzJ-<@;t&JZS7ILCuRNT48jYS@+S5f;&vdVkTx-`!&NN%SdIb;3ri9xm zU8q3M)K2ZczZ?yV&TM@~d#!TOy*y#pVE>(&@evo>mCDigp@LZTtcLOH!5!UQ==jm4 zJZ^!WT2!sHoAo^Xrs;LfM>{N*s@uZGaGAS z4lu~l#vH0^qN@i*W@2Rp>6img{;;+-BnIhQY1#rsuBNsPtk%^ww9>XQ)icqxCk8}@EQ%!9vb2DO)mX$6n5I9m(TN`*X2Qo;<5SYr^5FjB8X68^GT|Huu)y*Qc0Y+eA zqWPC`0~<4aO)DEy6HOZ^G00rs+)URPm`(HM%+|2dUG*=O`V9s6p#uEQc5WB~NY+LR zdh>`8*n>s@RX|eH6j%~K8gA~(j~FFQ3q3(#8Csga!$bb8{%^R%e>f-eU(YF`YhtSl zHPqGw*vIc516h;%t*}2g3S2G z4>6dH4Pa<`#D9#z2p;T**zAunCNMzd{x-(M%EAh;qMydtV3hBtF)$dAZhjhrF#b9R zGi-PI-{KedR*LwwKW&h<^2r~p= zzkfd;goW*w`^U}%{$*Zkj^?ErtU=6!}o0kcA_47SoVq|Ch`5pjc z96zs_i3!Z{OB@q~{g*gqHuj%C4<=?XH~;4~Ls$S#{?m0pz-+%< z8w3Iq8vlO15ca=*=1?n5Lla#q;2BHAAX!64T>x*ypqFNP=ET6_V48%CxjB>=SOD1DS&2g_IET{|7Q#Xm|hs literal 0 HcmV?d00001 diff --git a/simulations/figures_sim/figure_mse_stab_lasso_independent_P50_N500.pdf b/simulations/figures_sim/figure_mse_stab_lasso_independent_P50_N500.pdf new file mode 100644 index 0000000000000000000000000000000000000000..82be5a6b72cbe5caefb5c74c119af54189a52f89 GIT binary patch literal 13360 zcmb7r1z1#F_q~XMpfrd`jYumD3@~&_cX!7SI?ND5cLtlG1FP?A*8v{`39|{(b&KhK{(LAPx}H z{64Ob5H4845oU(6MIt24P%sd)qyU72lb;j9$qW2)^6<0Zf|Zb#|KD?(wkS9-OC2QR zXl8F?YvBY^aYorYqkw6ujz~*q3z#GNEEhYJof8;4UkiyIV!;&=!G$3#(Yt{Bxf>8z z)7>5h0!x^o%-~3C5LngB8s-Gz0s_=Qe@)>1Z2~$D9qkB1p#BI4OCS*_;Lr)gcRn4g z4s${}J6ZtOrK;;r6hXKhtY9TP!3g7f0#trFYq-m)2;v@n}*OmWwl#XHnBOxfNLJ z>Brta9t__-uKFggQTD%v6S6P5&Y0?7Na&H9pvuUGkA72p%;VN3uDyCjN7+&NTaSz=3hU%T#K`R*Bl;Gv-0#V_oqoWp@JEoQR^#_OVdw!j~z^OnJ)n_b> zz@+_#*d!W2gcjx2i3Qzd>Rvl8yS|Rj2<&BJBKuR z((s?{rCILtlg-4iiuqVhoX|h=eu2?ZbCKb&(XiVXBCm^G)t1*XE-7v{X}&iH546&$ zNqG}xrsF>L+9~>4TE0%MW$6k#w8jhj>D38c;p7*Qn{(y|d_;x)3vE=h1I)Z{%ElMo zMbFcKtsaxtPZOj^$O{tQ z3i7tj$6AysiA6lEn=Ni%nlJkhey8w@x%X-HS%bcP>XX*H-dYFOY@dF9vA3~$y6X~f zy2z7f@VL`uW6r~cUsN!?N+!T2(OZbW*8kvH+zAfJwMNJO@5!du?#O&0iQr+;D`ZO4 z_ee5jT}i=_h8Q%e3pVF`(_N^AG!KV?Nfg-{6ggJbv&>!Yl3Xj5Ji6iSWn+di3hDeJ zwkab2@wJ?@A>G#^jIY8hgEofi_qC`fm)<#jdh<9h_-w@MNQDbG<%z(>*a+cqfAw4V zU^Pks^P0xBaT{mbZx`uX%0B_<{NtVe2Tu9_gvn2w{-3bpMnkcoSlT z4W~NYMEFK7R@S0kcdxMC^8ffwo#2X8T)8??79G{eq2Q_6dJf`Im2m6s;<0- zTLzHO8>c;-^yW%=F1PGN|LAxo4w`s|F|R=I_Hb&w*Ef4y>u~8iMLedppHADxE6&!~ z&h8@+;w>-4tK()Q0(UT~?g$K-Yez6Xm6Q1=!n20Ow#o#$VWQV&J@9aSR{>~wog!a25n9N(e z%|QL~`vfWj+RG)6g+a-8RLc*YEe>MT1_i3wpwzvLxFt8=!9`N-`qx=qxyJ0qv}inB z5HYv-8`#-ml|GKy9OK`m9Ff7iSr+f7tX{9X%qOTA>;*p)an~~Il@~x-eCitO91eOx*3Z^ z)3v)EYlDl6M!I^YhE|t7DBecUS@G+@dI+sUhtsx3Omtki)?+82n;wO50V71ztLw{5 z;hVaIcrsfmkC9n*cZ+=9T?+KQvERgaqd?nwjp@b%^Ac?pj*5Lqv*zF_PTtdWrbJmL z6X9l17w@nNM+uu++nFX~qFeQ8m^YZ@n!a3V0fvnSfW4KV&aYwzjq#ggKi*|hW!j{Qs}MpD~gZ<%kQ}oRMXEq1UmI>oI;Y;*?W+c z4dris!ye~fDf{1n51mxiLH|e6T5ww3e^Im%^iOTZB<(?URva)aBdoP_(Cq%|@5|O2Y18KaloxdTb|B z4KvTv9@*d0p4?^34dN)8$64NlSxx^BP?4OIPuxI9uaA7jAR=q z0UU7Xp(aE6MW&scY`S!1-o;qA(&vhJQ)~3;&(vz~3EgJcdFMv`7iFS~R077B2xL3Rm~&mdIXpWGr~@XO+U+kZlM7}a>M~D)*9I!F%=j<8Ik6Foo%oEwKIcbLf{SVV z7SGV5$8MIN%6>t1$1lPDP530ujA~O-a-^5nm@G;5E`ER<&Z;`s(~$q9<{am3x0TuE^CU5I-*;bDxPVkLbyLPy8*J3Hf2PaSL9a@{cceM;igLcJ{?z;@R_cf6jO{=$KuZPTRp^S zf-`JQ;7!IH6=Ms5FVEq!Ce{44$!QtgA1%bWsl0`R8y_B&>V6Hv!TK(T&U%YEZB;J- z@Tr&m3O;lW-1Y{N+^}xjzBXfG?}z)J-2=o6PrIyAL`2FtYBz&BeL&WujE!uBFRd-5Svu={x( zw=YKP_wwf7frloaKXTN+1KtmE`F{Zq9r0_{G$+}?Diei6=(h~&ZpVQ8tLrPLr!C>hG) zp_5-&(};GzgzS81(3gdkFiqmEm;GcjuY{y_a5<&3SM+O`jiaxpvwl{V-sv38jZ&4` z(T~1DMk(`7a_8esv!x4ZT_>;aFFk*;gzc&0VSc&wORgnOhMCWW<@fqokT9&%r8~@K zkMGz$95AR45`I-f<4R-lmS!flOlx$3(|u)u)&yJR+m~p;6aDx}Ry9AbjuHno!WuqI zb4QA>l_^BG8pKi0v#wn`zbtpwPUt z3-87>_*Vz`>?{cqUbmC+25#*TZ_bLh-=CT1Uw5#J&!hpH0hE)vG24fiNAQ?$Mvf%Q z{(5~Bj(h=y{F)m3O$IpQf=%f>O{OBv-ModxHw=j#9^88Ei?ChOTQm$L1miIrWhQdD z?v(SC#=6o9;Sp>@v>-MwP_omBBNNd$Q$2zr&B`Pq6$u z_(A_`-a|+H3O_FHe+564Ne;q>Wi;vJN#8kI(A*se>oT@?fbAypXgkUVSOZ)9t=U3(44X?m*r!iW_?F7Z=p@0(xAJa3A+{>?IK7 z+gI9@59(vOjCwWkoiaChTy080%f0)A>`PmX&HEP&dGhU?9Q{iTPj4GRXUVYL)t4#t zWS>eY**3V~$q=;nPhSP#w|Bq>4KpN_5@3arq1NIK{TAa3vH-bPrF}V71(17QPkhmw zlRkZMLMc^+cXxnJB-B(#{7@h?->*{>P6cGX;Fn=!^Lpy+^O50UZUH}XpY{iVadi_9 zbG(-gbVhHnb=TkUJF?r#G3!&&m`MCcef0ndw3p!X@jlOd;k6hl9cv=rHr?kJGPZKE z!Os_;YGUj%w2v@}ub-xqGUpz`(43Q%^$*U8yKp^)z?zb~u5;>|%eA^riN0P&idx0u za9HUI6q*aDJ-oGS3?)Q1c6AV@ax3dKHyjx^?#{?9zVt^ezy>fg~lhs6~ zBL`cb*9V%a2hG8zzD zRoyAzMz%QKCipY&xd3^O))*z?DqEGJeo(J*U=%TZ2OQR>IPRkFEAr}T#!F+La(ysw z)#E~wwcHA>mTy-^i>qI%`+0XBRdz8+qf z8?cfS3X*Hz;xoVVG|N_*xAA{e;TXxWDoQuKzw-5xgjTz~X!DgRoog7dfC4fT#>D#` z=rh29l2MXr|JXFBa%D*3YWAA)^L6afL$!~=O1lmP`=eO5b z>i5MJZK6HQ@OuJ8iI(dfuNd$hs-?c5;>!B1LXuDkp9rGp$`^je-T&yZaQ;`5;uTKV=D`d zJ6>x$Cy!77cf$X`9b1=&%_xVbkpF>rzsrzeIr7|RiD`RTkZF+cRI0QyqvpnvM;s@I{ zWB{CV1kE{lO0fRmoQDAC%xBKFad7j(1K&wcP1V0?IU2Wtv^vx1JsAMo5D#ivK7 z3DJ*zYZAg5bLP>6Q{kL&=F>dsCSx8yt>wh-V78^6#7~K`Cb|63A*83h3@_Px32{*{ z*n26S22K@5=4!o*uo4AR$PJFX~&4K}lO!6Ax#$2C?WH!-h zyKw+`n6_Hxs@6S;Mc6eqay5$YIxJ&u&MML<<+Us_vm|y{LB{F#Anx2m1TlKaaL(>c zD|Hrta7xqMEy^WG(vxCx7_XUn?dvxErN-jLR9yLTL;05ZzOlR7`XYB%&wl&R{o{ev zrN|E+H8r04Uk$-iK@j?qo27Pd>SS#d5#a4eIrK`wcS|{;ZQaAiK>(?8X@JAi z*TwPbhL-IY62=>6Eok69(a18t@)=;9q#v${!2*bChdsVt(vaCgn=a|5gJ+hnJp#m| zST(ypyt2nY=}AJ$i<;-!81Fxr|qcH5cPcfY*s>{~@)q zr{nUj0+*AMgXGkE+G2cUo}TOYnj{OiL-yhu$)>> z10cZQRr>%Mfd-D>o>SV(86W;(xAZZcyp5Z@sf8w|c;$mx!4br7TN`FdP{` zmh{ZQEuOtCM?0R^H(oi42Byuw+8rx%ij6SJ10Wc)0o7J-#N0zeP`+va)9@_@Z?GoS zHgVLpWjyU1p!wD!pZx(r5p_}J9%kAtX)o>$pD4R3)evR;OR$ z-Mp`hIj1|O*0DwO;8>=s4&bEfj;BF28}h6nRks@FuoVE!N2lK51hCHY+~>XdWC)=! zKBPSET5>J(O_;Ds*<`q{P|;J`G-G4IqJ)&X{11I!2CFGT65U?yCacv;j{f1d47OLv zxd^k6FX8dZ=!EaZN_loa3eG;vZ?Eb%eyT0n(mZQ|b7F!Y>?)wz5a^(d|DXb3o8;IU za$D5b7|8A@iaBsp6avReefW7#jj19~6`E#EVS(cF4!ldIc}iEawiq=xvFi^*ALHq* zEEuj7QvjK7J9DRCP0O}ZQY9k^(}WfCn8*5?3e7`!T&P&Eoyw;EXHL9{~&smJ7oY1~A zk*4ZsbcNx?gkb;cmxNZkhq`9^7e+t08>Ja#!F9eXKF0gI)nbeJ1y?y;Im?H%d|ET% zivc_ir3M)^mP!{pFEL0TbNJI(#0p`PZMX?=@^pmc?JlhNYwQLokK@!)?%EoZ_V7pM zd#1(Y6UHZrS?9#n-zoqpXBwo$@UpWCqU;ApPK^p>oY6)ngyfFt3V4vgE8v(W_4YC; zjFio#OGouBKGSU(t4cQ)0y4DNCu9@rrZG~Nm(j1uOpb^=ZbWV zEzP2zLM^Sx(pr}mU0Pgr>IZ5p@}}Y{mm4aP=-k(#+ZwkgwfmsK(5uqJ!J@(#zB$@8 zQ}~cps9YyFamhGdSYnqrQedXI5xgZ6cW$?6&mdJ^Ehkv-ooEu`G12y^Y-OgC70}L^ zZf9Kl3dX)Yw907MQWRLih__~m%@uD<)h+3GdqBYuS*4gkGG!a8A7A@|b}r1kREIb1@T*_xA!eX}ux zmzr7WK=fqS#{4=d#?JhZ+nQ;OUSCmI%X{+Z3d3Ia*4`fFHy*wt4K{Rz;a>H8QwS~$ z!%)ZC+1VrXtmY(N2uesQWn8d#)%THTc=C77+Tig8oMD29k(AYEK93{slIukugsoqy z-DABp&Crq6KBRHKHCB7zaXuv^(k(+1MS@Oxb7k1V=?Eplo#4cD#{R(TJB<2dOm6A@ zkK7)lwvM~iI?+vIWeef;^S?aI)_xqOzomJNfoVicfH^z-_{yFzpTYEePJOy8VOKP2QY>UNXJfMj_#Q$t^QY*QmZNrE{GOlFk4r@9cdgkn-+%@?Hz| ztRi=M5W!0WvYNAxJ+yj9{@W{0Cv^yuZPr3$+C7B5H)STRoB;# zeWbYyPe_^InP}U~>!ps}s0se2=U7_pRR$(2{=E5j_ReD@_X^Xjwa1&qJC{qNwtS4CW@Z?3@3DM88UNs_@ z&pW_DJH~nU5&${I#L#`0fF$`ol8AnXx7XAdZ{*OIK%4`jH-#PoCkw2>z=e_;iGEVWtkHL%o9)b>Vc!-;TPgE*Ot4ZQ{*Lly6V1jXFrJ?BznI+7F&2- z=h1?Krh?4fmP2!>E&#a8H_KOl2i*T?uR#8*y>cG$E8w{Poy_}LO#fS1LGr_I#q@-! z9EJC_!j=midj?Gr?F%9HIOo;$;9slhDO=lQG%2ymU|Qul_`r{9x_kYv_KMStY4Xpq z!rjqtvgf(ZYE|gTLrcA3ZHnOkV6T)WI{dI#=#kCmGS5XmgA~?D)SwkE+hR7%JVF4OY2?&Xm`c@Bw3{j8p@j9>I75GR4-=>rm?HOO;CWr)StbXf^i7Gs`c# z*=U*PZTM9mtd!{RXi0j%)JoR)*;;Sa8nSSLVkOp0v5qDlZv}7k50ZKJ2g&69C&`2h z*nPl%mn`4`kjiswv*Fy@jNNR%xu-*=_$)+s!}NaJ54MS=2Q}^VP)-4~-P8|l#}9?8 zql*eal4Fo!ze!$aOqQ>>zn{dvoeLBddXm1!%9xQ1M!uo1WO8L&Aq=T{o*tzx1a(d9 z0K^>zzhrs&Z?OB%Y0e1*RPHM@s&0~w%YA`b^Q`q$`hEj53yNdTQY78)=V z$N&uV4gsz!%nfCP3zi1jX+T0k0BPj}LH=-iq#+>4k1c?uxjyFrdM1R2|3A0!p!f7=8&BF(S51xa>mhv& zybY=`gkf?04{X#g%HlQ1MzgbW;t3z+Z=v-V|W_pTpFUrf5_H5LI+A~_;&sKo~zpRx{#Ml@geo)K50N5^?V zH8Em&_h{UZg1m!ISSOXCN~I&Ql3S^lL%x?zF94z)>$H2%Z2@;~{a_XIj zZ7)tTEkyDYH%3I8QjjlSIjVs)GFk+p~gd z3+@+YWjjo^2f@1CeI#83ZN1(4?8Nl>k0=-oHG(5!Ny6v)`jnQ#+qyaMc_VMnbB-lZ z=uyo%Ua;yr(<61aqbQ{l9OL8XX} z9;{;gB*e~^?1Ir6hHBl{kRDU;g|N~_XMAr5np!Vo_15{j)^`dgCk+)aG9IviKX096 z;QLCLc=f3_PHiojx$VXB#h^GPjCm1O9(j_j?|bL%kFR~o2sxs~{^m?`o#>3d@ew#q zO0p|Y5v2IE!r(p0qsvM6g2j$9l8*>lzU7S9JPrMLMAZLO_hRm?n_@mR7noUzKscV3 zclx)yufCJPJnjh}NJ>mQ?F;zkty8V|?frFn-zW*rEs=h!li+NF;`Ozf@Q_k4{(kB>_AaYW_ip(2v0Y#=v&#{~{iMRuy_BT-e z7PH)Z*zEpYrk5r$)H(3e{aChfyTu5D9=<0eQx8FbB;He%KGc0exrljLf=HDr?h1p% zJ=u$7Vr!Y|JnuVz_&Hu%hpx>lx_%d;xV=fFdoNU0NqIrJwq9*=M4Cz7sO6z$}Xh&Zrx{id2kbWf#jR$|#4T z_#aZdi!jS8(S0c}LbVo#*XH=z9L`yZ>q+QI?0H!*$~*A(Jj%Y3&%{tj`O%$Ltyz70 zCVL%wl4^>2;%UOI2!gh~?XDfzk+c_q&lSv1P^dOYKuR2&)PDoNng^Hn(K~2_*9?IfRf6MOH22&c{6kP)-wnN&Iz)?s~arz#D zG2_+@QDdfoaqXI}b~* z>aFtONpR&|?pL?XEl1h}ma~wBg{8@t%csjnb~=!;P-jsNV18cNhn$$5IG+e=v1zGj zHLfy#fPT31qWHt7=kCvUKFAM${2)C%UBET$Jv=mARp44MGbCo4XdCok@&5V%U*Qf4 z-!7_)YBM#4KV*4wB#5Vn`!=_Z&E^nQf9lBK$nH?*;EO?l>@S)ruQsyMUNlIY1|8(! zYqcxMWR^)R=k!_x>`_dd7W=gdR#IDd6!sQpqKSj*+{&O^=Pp~r^D;XcmE-LLdt zsZSbCG_VA)Zed-!{57~ZG9uDE0(!%lLKvdWh0oE;i{NQ|a1ZLh zt7kQ6>exeS(FsxFnzHj4zXmPiRp2b-q=ba@Ph!)C~0udpbIZM5>;!AHYg z!mOQ**eiz*Xr3HGEcIkvEekM z)5kkr^})5XZyNbj7h&weg$IfZ{q#E#d9(*i+>O&2E&X& z2D&b~Ey*NFxn~~PWZ5LoQnF3j-P+^YWi5)#b>10=4Lu@hb#Av<$X-a9&nG{*J6U5d z)GU(4H+Mp}Amtv;es@GSwejePxQ!u|L56rBlrxkqbc;VL6{~lD&@Z<_A-@{F$-YUF zj*Y}d#%y(hmsRL%7~`3QVCtCe4atl3l){5En zg&W@?d;BYcDr_J4GMBU81$))7TN$ZDYY!wpEBWHHW)MymCe_9Zt%g6Jc=VBZjIY{u zGw+2Gt%4f^xk8b`9r+pLCq&~>e2-4NiTB5ta@gzcEO?)GxAxq~+QeiPHM0(TADDK6 zrnJEc+d`%zDnT$|ydE3z-lao#n3+uSwd<~ua?4qk}NuS%e~7(yRH{JAN7 zdgGJ1fPG3UfJKcZ7(x|N3l=omq)6xWnh!gTAJSSVbI>`Zv-B2kp5~S_|da2g#h})Z4p4zI-0lsb);j95Jx!K{v5ysOWIml!GK0} zbSJt2h?@s&XNz!l0`Wt^4$epv3=XqG;c{|wgDsIjZ@rU~EeLGwXyyWtTr&%2G}pDT zb+mA{vx39iKwy+D+!7eFGqZ3+B0yksM;JN~m}zEV0rbA(f-P-TdKmrhYB~e(3z4 zjTz?(0j%L{jyiARN8c8pt4Z0+4%iYP8qV*_j~IP3dn-v`8|G#}d;VYS|6EJ_57&hJ z{hG2cxC;zrYhebckDo8a`OEb8Zw{PGl>cD`KuVxr%^$n|a|O10NVw(ywTzo1%nFwS z#Knor@#g~s<>BGt0a=0m97D@C^aF(WbBq%TXt;ll@pEzj66=>S2oIo?ei`H92lUr3 zW87#>_|Gv82)gt0*D?Oz#(-siTbGlQ@3%EL`T2i)9uN-R-`0ij{XQ4M5B+UjE?(Z> zo*Ne*4*>+-CxGIe|sLBz}w(&b5V|Fws4pu@U0#Y zSi{x>2E6}3U^#>p5`?a3p__q`NE8Uz6!8DK{xx$%oxf8#Ay6nME(3#a{3mXR$YOIZ_&N7k|{WJ`95 zC|eoX zJrM#2U;x4S9OU?M2vm!RL6NZpyf%uA0VK3l5HPqh907h|vfz~@1Zqfd`Cp$|V97Wz z$_zL~M0vVn(Imi_LiVJP!7vjd!G(gx5NS_kW#nXJLEBC)0?i}|QCEjx@Gi6}5I?H{ zpccNK7yzn;BBO8wHvnpaa>I}SSt=5#gV~(0IG`vd!vm(6I?K~vPopHWgZZp z^kOSR!ZeJnVb1yq`+@VvKaLp1=|8<2HgwLL6U%BDJ~AL^f_+*#@b$}~_5-Kg_0Eql zBnUx!1vBRu!WaSEr2O`-5+{f-OFEDCNo2ER-+^#blM@f2K0U5=SrfCKrmkj4$z3|D`oQ#)Sg0V zgUoyrkJRFY#qup=>~MytwN;krv&C_KB4YM-`tod_Uz$sUs0PAuG5JcD>gMj(yAH+Q z(`4kySR7>cs-MPOxl%fF&oV&0IZi07;>z8b2H);04<=$iZ@y3~czrGErYBykv91cHbivjX#wonVj|55}R^H7F%;VNa9H@RSY7r zf__!3?p(gnDm=04)Jk&Lp%Sjk^)sT2E8#r%+nGmJ;5xQo)+g-BGL{+fY#$K|O}*NB%l>>SzpL4wV=+EW z(6+k+nj#$Gn1clTp0Sj!{MLZ{KFSk6l@32h>-B8~WO7{@*11?HCCE`Qc_P;SC7)!< z`hxG5a)(+|hL@7g<&8~q>gn`e3g$CNy>5@IXgF~ zdYh-LUwj|Rf2RN2AI<5L!b5`*r3so@0D%eQC`la>E|4#M{ra&*q{IyGw@yRTy|VY;jG~jtOR55rnd3QIO5L2g zR!O28WX{JfmD=S&97C`q5IBFmgnvOu`R5z_149215pdZ51&JMx-!K9D|6rmEKL%r~ ze|zjBpO7A@^R-sH3KGJH?6acx+e6Nc$T zAlvYJEB{bMSYG^YqrD=);VCY6YO}*5`tnF=c=epbrcn{J`vu|lMeK%V(i~*_)DpX#%I5L*t)uVLB3-Bes$r5c`jwH z)i9D%qmtR<}EDCI+Z9#aY)cuCRF3 z-!JSHA6W_Y{Mb+Nhn0LFvfirGPK<+Hh@Es!Y5yxt5oVGpllR63(IPsX zkD=@_+cBf)5F58hdGXeh2K>$lC9WF{N<1~*ny0-~MF#ksJhy{&r|gEx+;K{`@;DcL z@{pTx#-;5kwj+WfvJ_8s@iq))qI1NS8;)l7az=UPf$~h}vaLR* zPNJfM;h$p#ttHReTdhTTt8^c?dVMPQdm)wHDdAk6lhjAOFtRrLdUozy+7tlo@?6P- zsn<^}P3PBMw^|S5XW`9qOT2h{?oPkkKGf%~+;8$>om4&}!Dfqy7VxkA(}4{2Fyo{u ztr4W@0{f@Uak0uA88b(csMM#W)6~F6&(=#$=q-mg?;lJy?7rr8IB6yN+oV1ShmQjl z?NV4F6&f7MKsdp}wT02+aq0W{E< z0S+MD5GWvRAONT##s!PgB=`V!G=Rv%?r!)ciokPH#RikBY*9&l=iSZdk^38v2{K3F zENprYAS5P(bF~u6M54lXnU=lX&96Ol!IMiM`Ls(h|3tm-a`%l1 zp^d=vSq;4}+?E4|Yw6-YhcY%B*suie%dz2_nrn@WjdpWl-nH*N9RrST(zBvMlV?+x zK8@agBnFqpxyjp5djR;feRS|dOcUL=tfZPVB5*pB)R?&so1^ypyq!vF*6CtZ#+|A6 zOxsUanvc0Rx<&QCa??4y-DOhuh1%@| zrHd+Wq#OviAXw|~X!dAY%I#Ru__)3PuB`Kt(D~)9tOG$>XZ?H48ec5GM)|BJDqSVR zwHy`ku73I2k2-p$JwNT6&7y7!F@L29^00qC+!zT>($Vh9HvkNh@7Z;5Mlz;pMx5Nt zy1vQU^7YneP4eaEo9unbHuQPIf1C^yq?0(x4zOHwIo7uvu($0L!>8`({Nk zd2*61EWCq_+l)#Ev^ox!hug#pykcO~VmCRMv`0)!6G_i~@@=-+?Sq983puXycJmVC zKWgdrYgJ{Nx^rxC`!S2cSn``}OWARZ6;8%Vd*Z@)n>ybkl!Rn1RXx1s$>7hn6lUC# zGRbZOIT2F89?ZtBax)sn&eN=`nc#DngHp1;}M-!o4~mQvx*h?dc{&c4xi zXue{eeNAbLn<+F09RrW!3oGWm+LN=Izn+1Wi70jlt zKWpHg6LDF>5}YwCcf*jHM^Vx_SNn98^sDuKG!ApDM;blyyct{_VRQPp_HpBbVvS;^ zNY}#(k|BqMJ%rzhXNbHIX#f&CbzNAA$IlqN)Wjdj5}pu$V48i@=ICyT_gq%Th9t;G z?M;31Bdz5u)-3G*Of9j=@zK73T)D&H*onMc{K(Wc&mxy>@g`!R5@9*2t8AgHw)9!~B~y#1?9cvZZP%ZE0-TxNzjD!qa1gB~NE>``%u8syFof zsqWCrJF-IoLxV$Acf9XR44%ZMV#ChAI=9%bRJ1}q;1Sn#a4G$&GIefzI844(C~VN$4*PiPfMvVksq6}^xm!Kx2uMp}LeFiN zHF!Q*p7MnvR=ZvsS}W_<=4a{`?)T1bV~u4?>dWCThqfBF%$Zb}gqawbikYhRuS7_- zaJ4u@e2FNDjfr)RQQ)KSt0Amp55Rg9@$!x5H5D!>o^c&;B6f43A0rH9UwHV9?o+5x z)Q1$<7ZeLO}yn$b+r0tOs|iD@l3Oq}h2bg1-R={l*bGyFEKb{-WA zRa@>Jgbe%(_ki{YXHIu>_d)b(QE{5|v-@oypWA=1pQtIC^Xd)2yW!ib#?an_ndgL@ zA2c;S`x+XW8`_c6jT-2G2=6Z&USW!EgP=WJGrTobeU*#7RA$$PN1M(p`j33#<;~Z> zt{>f%>)W=vx%$UkY|TOq(f+MN9)4eyc2xu3%-g{`?qcXR18V?l=BdQ?u!1{og>xFc zZjQr_A|(e(p5fd+>V1?XJR0k*dvvjnI?ego{2gh+x>s?u>Z$kR-j{^%3CWv~mgMjNp*R-Sy(KI`d?-#+w*CjfwN9Ovk{L@x8brE8mbKHgPv7**<<8~2c_a61 zyH9&kI}%;&Y~AJWAs zqg5=Z};W%y<3%gf3+=}bLq1HpOs^b4wSOEOEGnal)c!qw%+&^hD7HAk+AtLb?e zzRWzHHl1mf@WJ9CkHy~1f~|t#yhfwFhGSVDCDo2Js4=7@q+YN?_PG^0R(hB4ex8*hc6Mxfga1dp<~_Qbr2u zUnAq{V4PspfBk0Jdf;2TXznPTRz-zs-0iW*=Mp1I)!3!{LPH^aA2DA2V*O)!6NFiO zuYBNo?orRls?J9^;$i#ni_sPHePi|!dj*mDl{fo-aukTpX!WDQB7H_H$hpO zRz;WUm+RZ|+mAY6Ozz!V2%zY#BV(-%FBZGL%YXi?&bO{)ab;xCs=(6Pb^~AHwA}6Y zV5^5IHzFz^H9&b=P(fGmV^H^2ZO!T2JC$!*0;dAsghVm~bjNjfOJA496nhrkqI_^_ zZt9xw2^xIShASczRHX>gQx8)GgKliTTW`^zUc6EoR~g{8>EOY9FZUMbg8fV7r`HC= z-o?EYRR6=LvZ_6=VCG`i@`li$nia|Zwa+L^^W~eISw^#2>FU=g3vb@M8bmkf`z@zm zRwETd>k031eWR;${=FG*HWp9#zFhxYwzr2j&e6qTvG$ec9n!>1{5Ar+=WOsdp_ z)LN*j!xDd{qW^T%_O(IlhLX%W9?y3J9iJ1X-kLrmyhK(DH+0s0nz!02o~t6^d&kd^ zcmt|lWezk%ZC~FI2$cI$=CA;$sV}Ihymx8}RYi}NiJ!oHTMMk87yg854eQZf6&*X( zek4E~dctwj=kw{|#I%Ce6UV;UZ$Ei8>ixjyGXln~D*x4f?ek#CjkC8OjC>nd!Yq?V z*1lNtm$*8n)SCv8CZ*qce5*_K=9H~jE?Yi!A~kUS6W`j(QbCMyRv^Ph*y{Fgb2$9h zMbr1yjt(ANqhRsiZihCv{(WbS#cSY6*dGQ6R2%E+iUIdIw1tfwASVy?z~U(+Kv@BL zfkGf-a2QuI1TH5Bbs>N&C=v+^K;4KaFL203p((Uk7mX#NDITskj1K@MV{tB^$peKZ z67T@jnTVk|f{`dR8e9=Upe|T26$uL}1Q|Sm?1FIxpv0Xb(V!y0;ZVQW-6?oC6p`YA zLs7^8l;B3dW6p!wP&+4+XrsHsFO&L?1o$zDfA7GKLV%i6oXI=8E}9Vz&f_Q#uq044 z?DXZkk1fj6RU0hB83k^!{+|AKw8VdLCMaxZz5aeC5`*)?kg;eK1p1@bz|PO~>w;}Z zqWl*bKq>KWGDvF@a4!ETjSmsy3V{J|c?j(12T+ig2X}9-z)u?je2Hiu0RPhlR{-VI zKW%VDrQiJEN{XP4`==iQ1_Ra8zuIKM72rQ@Fa+(V`&XOt?>1%S-(uk~MNnJ*GgeMf z_P3hll$C$0SsteNTYd6y#b08{L=+Z>A%e?W0BVl)!+`w*pr`S!1b~J%P;QzL2sAZI ZyWY`nC?a{M)A9&K1&ElKjC1c;+U1SW|}!4sGeporH-tD>+dG<>R}P-s;p1ZYn6_&@L2 zl9*)J%Nj7G6KLKfA_K5sF=;F&>}E-)da#HPopV=BMMDJzV{5sn97qXq-~a-mcyOvf z|EdN6ZT)Bv0OANt0-5RsfR+R=hykd<2G+pe4w}C?aO^nNbcn+I%N)c}DNK0D0JPTJ zL2HOXWzmUnJj}o1aSVR8!wjN$F}(o|G!_62NMt7b0H6UG?hPIyQavC}*$gJ!G9Lsx zqv)79bsK6+&1`YnE~!6sJ`cD`o1VATGwDlB@sE+k<93PjU4NJp@?gB|!b|z>A~>O& ztL)%`l?lN}Bye*ye~BM-yMK1w5kXl%ZdA-W`jO(mw{Yp($_gv9#|vocVBT44p8n2? ztm7{~mUlcH8T-yHcM}nb4C&{K+C+0QyWvic2y|W)+qs_>ZZfPi9xgOS><$Q%xV|Yq ztJ$(By~wwbwV1W7s2YFkW-b2KV5Q(|k2Yg$^TdFEI#jdkFq+S|zBxrXFzT!Dj-)a@ zeTmHXJp%Xck3rEEx8IZg30inq?o0cG@E)7 zASr@Pi$hlg#IzbK)7=*u_TX-6Df_!;%JgT5>7t;R7PsT%&13ej^F>YWybw-m;)-}- zh>5*(SUIjK3b#$WF4Zm;Kln+&mtA~%W={BCph;2`oV%B`y_T_ZOKr#g11x7*-zL3l z`bblsuBXY47?T0TCUS}O(Bu{SH*qy$dtzDlv@lA@#`DSwZ?@H&9Za@}s-=HR=u-Q9RbxYqM1Wj;q7BB#tLI4@?a${PetRJD{>#HRuCMIKg*EzPab_3GG}NdIG?I3nc&a^O_B51^yb&2n9i*Z#)(6{=KGTC zM3laB_bsZ1!j$>z^ZScD9B%yi?fxXspPT_rNgfQq3E*(W8gPL*MPW}pBRCyF(E zi3U)deT8$W2B0{kUgIpN&t@9hFgd#m>;cmUu7pgb+t3KaH3Vc>8|ne-Kh6JUIS1mD z;RG7vaC!s=XQrOAwHcI%?yS+Qu{^gW_I%d~Z)+Z-O*KYIDtk}@TTC9F<&xFF+tTn>Nd+6w zimyU*aY-ezv8TDMO5UwQ;`>h0#I~mzdlVr@?)%NQUmB7A5_}@Nrt_uOY*2p{*V)ww zzDH*E0-+mo?8QbW8)FjUyxi7vZ=B=eC3C%^m6qyBEE({m^8^mWlhZ|)Bx|ZR17BD6 z^d5|_1P&qNQt>AzyCMl6DVc-l1yJA?py1K998gb5s$LD~v%ZINL-eB#Xw4c6ORi z#x=I7Zq`iLHHI2UM>KYmH z0g0Dhs{d>koW6?p?d!&g?C2%w z_1{@LC4^VyYGc6j`uNrYGr%mh%;~Xc3}3ol)S;#9i%UZF-}445Q_nnK67EX1=gF7Z zb|`o!m*O5_Kp?#X^t8;C&hYO+b`@sdA4|xEBoYnr=n4_5j`tT= z9eFSSm;NE%=|kJ6ctszsyZ2DIf=lQXFVA7cm~|)JP_M$p&T``cNwLtf%UjQf7rE`e z%FntijET^oZDocLUtzS?tAw?>tsCODR^6Nxsx*gaJG3S8^y4k!*3nD=_gL!AY5TL= zU-RzaOf6c?JIGr!V-@R z^peUyk&WhymkPbaRyE9L^GS(=m@UfE^zrH@o((Jt86KV0&V^>mhj^$|NUbk9r znR)d<-_btBKM;$;<_0IOw0Cz*aWVI4BQxVv4D2pn>e?|?IwicIwJgpbkwc6}C2kEd zlTr{bFpsX z=bY;@&@!zsWgnIkS&TW-K)VuJ5oK?zgV(W;lCPDwGV+wuPzsZi@sXL?ohkcLwgyOU zG4K$g>o}MV>roW4Wkz;Cu)4g*e$P6^Ik97V`xKdboUPaeF?JZ+1zYEvX~p(AZ2U>1 zkJm(8Ta3;WHCQ?3+vYND-$wP^MIRkBz}jMQex>xdPke6-#r8GEjNwMDVii{uy%dSI zk=HFCo60^`pTV@lwALn^S^-~|H7Wlt)jQ&@l6Y)vrpaBCER%#MC&iU^EN`1&UhmD>b>W@@!$Lzw`d4K4Y>dNTv>HpOGr005%cJ89> zrCT#Onb&J@E0Le`HXm&^H@sYmo6PGVMj`5xlRBa1@p`KraLh$=PzCVwmc z)BZF5Uls(G_kEN5wqvYwYA=2K2RCYzYMP>Mpthr<+jq3_O;oo>D|bm8 zkgT1syFKoY4-msMC3+1&S@v~bU#FO zm-K(+k845@eLOQy>FxK!7WryVEc6f7IlK=X_$nz`V0zIst~J-MX?|&b+hjuJbS2&S zol8DtV>!OOhGKongf@skh>vge`x&J&h5xO6gm-l?NIZ>l(3+~ zd6)SPKRqlI-X5-Brz=A>`-n|%UKTF6x@r0mu;@iiaL(n%l7vQGMB`%uDGFspF6 zus^@{h@kn4?9WQN3N^aC7n0IW+8PNL2&|yX)aKFArER6LrFpFx7iOF_Q*`U$-H&cYI|5&WEts1h~iz9ePCdvil>W3(y{J~S4tLx-#NvJ z$Lcp~YE+P~zKD6QIG|NQ`cQD)T-uZ^FKJq2y4PfcIzg#jN@=%CIUe-<++FB)TMoJN zSlhAD{&z2i%6BN*sdR$UFLvIkVXP+_wj^HIf8qUoOM;zMdE9N&JEo3E=Rp_9vaD=6 zh-I>9lwfBbP~VKKZx?TPK}$`_TPBHE2S)+e_|b*&@pklvR~Q56YmCjExGutFU!pnopv6^K27P7pGkbT^T0Ot-SX!A!tsFC z*)P()y2lvKZ`gwZkIq~X%|0@bopB(AHU0MO>t14wssC)o8C^yZc%M2)?i!q*4D8H& z`{n&Xzv0Ez62T71L{|@&_f@ZH*BB3jFORQZk=Ewl!M{IRD!K~X@A3her5QLDyOPpt zS5ur-EkT>(sI3qRDawrE|!EAsJNuI;*E9cID!i?ZKFD zB`(u|?ty7t?K!u)i2cN&lHCWP9}B_vr)0ho8Y4UK^SfRcHY)_}1`oO}u~&`zlhX?u z5AOZpywdi1@YDnLDq2;1zxsFQh1K5TOUJK182Hii0h(nFEPS&=7JIs0xNjB0c%}T# z=SOwgDN(h`*^=442h)P5zHVLk_@OY~B0HG(OXU2@ZxcB7*BFZUOTOw;V5vx=!1|Rl zw*I}cBT)`h7^I&70>qO%Jt0`Lazv>UfKdm1NE8+Wz-oXeSyU!OhCG=F6b1u&P+^(P zV2}XNi%#%`XIui2#Tj*pBs!7h<4K0t0LUbfJz&U(K%`SC0O(GKIEJt%fk=d9Faq=- z!KoM|1^}v1s7w#Y69DOJMG|2_KqeFZfqSzkUIaSJhfH8G0g&oNr9da(Y=pJQ49?{4 z@(=yKrT~5p;(rSGHGu%yu-utzdY%Kq%Hs&Z2QCTL3~PP))5eiN^TfktxD#Nd{`c^| zCMEuhnCO4TG=j*!5R*hCAi$r!1~_l&pZ^fn1j>Jr02UIQm-%PWzY-|xQOO?vPZl;E z@JAJ_@x{fOah&`)lyoUApnwBNcXuNU4bmyy4BZXVA|Np!jdV*YQUcQ5B|UTv{m!8O zd+++b_gxDXXU=){d4e6k9kc0Fq-2=cS-3Fhg4Tl8gNB2~^<6O7soAIHoQgfLho zT`Wx8tQ{SsOx!G}>7@iX*x32mIoM#o?ChMJ3>d6Rj^_WL&or#v>|j)C)UqxnPFB`t zuGBz~n-jFD4F`{+u|_ejpF zX5s1xaxsIwkL&;EeeePQ9miV>2TM0AYIYt@PJU`u8EZQ?*cMo2>|m!OWnt!MZUJAo zs~hal>@hqu7yVS@U$;0f-rPMur5E;Gpv{0BXrnhE((q(%Kk>qg5o=1sCY}2=`ka9F zyNCg3h(T+3XlUr*VyJB?BJ1w!*AGIPi{`a*?$tuKcamPv#)yaW#en;x?-3i$?~W|( zCm-IdS3__E?(aGS{Gi#a`b!OW)efvi_b%n2S*q0aFOXg{>s*}?qX($b{ed>F=q=QM zzfzy_WSJ@;0XqHNOXfDi=poM;_TJM)$A>EuFDTXWr-<*O4|nq(-L`iThxfbPa{maXS*GYk*jEXAxdG` z8x5RAiu44tr$Er;!jyXq21n~% zuHJc*wUPU)Hy*g(q3f(v?GKIW*LT_9Z!!*tPp14bH{#p8jjE~+iu6lwK-{slr#8b= zb)NC{x;&}_Z?{rr@+_7?_fx$Rp%S@R^DkEh7 zoNfaaTc7o=L;Ek$xnIn$doKB0E&`?|%9Q*jZ!}WQoke~67c)+^+f>WGX8FDMS_)`f zWY7dr#GBnUH}0-$E_zfp+|R^C2sGe=!96&sFr$1ULmLn@Jb$r9?M<75KLGmfdE9??s4AnXM{ zJE!vIbJ$4(u*gpdeqF8cMRrq$Wf=!-H z_Moqq(IYy&+5U1}v~4ECV4lMd|2Qm9ock?aa+NlPZ0hN$~y8ljVIQCGsZO9!ejFvLc57#CF4-{ z6ptmY-STzkWevti>(>0xEpOto#yYQOo;dRZiLuMtxStWs57FU!CE>#Le$_f*errhC zNak%h^Db8d0N-ouoyFALNKFD&{D25ZexHMh zuM^|b0qJ4pm)d^Ruu|2=KV8y`F*k8IfpiUHY=A^Qk%?F7T0QGJp(z?CQok0*M(8#y z0Kge)Yl9*Oud+R+`I0|T353KT&I3Vjq!cT&fdX@2nPNTKN2{ri{5W6eJ_+HwG;+Dg zd(F-gZslCXRBl9_N{{J!KGC=c{ZnPoOnUjkKr%TXoZ;@|ZRYu=>gWk~I-sV@iC69NP77}~WC{ZSuaGcw;HE7)zFwwBEj?z=TFYUfyQ z?azK4Nm2kmZPFua&TobMiE3c-H`<9h^|GN6LS*!ja9PWB=L48b14o=td4m+ zE%%r55pLfgZhMXU-_&!Dh!YuTi{&CsPIq`_$ez~g~UYLY%`0z z>`_ZiV=>E0_$wBpFtI4LME*v%ZqM!pK{i!7plIYAvSlxez=w-q)R9`zarvwMa6<#X zEaHOTv>rtTuE<5sDZx1*%*;+RcK3h|e!PHK^w&|=LZoo{Gc{(C31BLXY4r4rADNAU zX&|X}n8bS2c|9jN^kw^BR-xRV$}4<+-_S>wXch0`~f_>iyI8tY1BnWEUyk z-QKbptbnsTgDvbI)r-$R$O5KDc+fI8vEAb|QWse;uT}@&HRn{Eq7FH8=G)TTMmEba zaMU!@0n~QiFL<~iFdjqdZJInym#GxdxwZ!0|0aE=GE11$skW1JQd0{U!uc&My||kg z-(P`GTJn#nU$h}AzIE(af$qgvK?@bD{TycrUy2@;sb7wKq~Zid2n2H!I`q|Yo`Og~ z>dN{PgWnFf$#T269L3@;ouoR4Sl_GUI_7h~go_>MGjEP#zku+nfwAW+?_WpA8zw&Q zvRB#*vS-pogZy-SZ&+M~?5elB3@7g(0~e82;;`j!Wu5pPvm=0{y=MLE`L>L|zg>K< zDK*P{TiDD1V1aF{@r;m3wPlo`XfD5EB=fi5kV{}cI43hjO?!f%R`O5g-9mF%#bB1q ztvp=dR+9b+9P26SAB~CS;{$zF(L9TyBmiwh!Ps+d_|bY~4-4(v2>WG?o)n&wPQ5rO zye!;%oT&CTjn~Q=4{5a#L)o+k+Zh`L*y4mG)b@ZlT*uXwaG5L}WzY4+q2T zEPr}k7r<(2t}by7Sqx9H5z9S7vqIKQUH6vW?K|RP*-*e3d*ZdCPGda(aanB5! zt|#?7S;Hr@Hk%q)g2+?o;UnLcQ1;Z8E{1&;rvGG^$&4jr^HG}6UJ9!MP(-3C^`j zlU!8)B+YPjG;j)6@_pxK%DU0Pt=4nl6LU1|F`ssFTE9i3xgD)Lsfb)O_dapNz?V+S zg0)&L_a6ttM02?iAX3C@9M$l}`Nb?@L#gu{iSck&EQZ_{)ecg&kE{tdkabJt@^Y6k zh~tcc#s6ac%m%tj+`*62u;qL5w z6`tLc%x}dR&dX!Ks;&uOWJrTD7X|@@Y+(2(Nxvjx@&{9ikFPIHQ?wK9t~%}gH9W4lG8M15o9Q^sYzCdC0(OOu6JNgE#jS|vLd z-Ai1aow177uOmEK!;LFpm`a5E9;vP4I?)Sh8F|sJ`NF^y%SQ<@az7P}FYU{&l~vHHcG7wqe#hf%}gc@Dx=RS;Y^3y{`Fi zj4*KvTi}v|cn7-!Yiq(Am{dPq`?W7aLtL(UuMJszo8Wus5PhnEF~-=v*5{IPS>-vs`ld zgGAVD zbMB@XMsl<_Fq6 zbLZP|fn31pm;VcrZsL~2=!WN-9?3|5%Rky;^s*ADQCzfgU&u@ssdN zekXa}_4Yhl#!6O6Dw~d{bfWff4w$Pqt{DJbPd0x znJ~~>8bE+On`GusRD;c0ke#qt+HQq4^xjr*HLCOS$L}m+3w>e4CLu%vRok+R59{bj zKM5lOO6hjR#=!;(PDu+SJ#_ws&Jk)?-lK&ANmv=K&2Mh?TApDZ;Ey*6dN1!cfiA`ZW{~Z zwSL#<)8F~;blVcHF7KY1AJQG#@RU+oe`R@BDirqYPrn*SUYC0#F@HCyma*?s-fmKj zO+StFB%Rr(KBJrb#Wk$LP663Di&!_ExB8#PO?HB9y~{Fj-c)?c@9p2IT8mcnF0(ta zkKLjOi5rjG6%G-8yLIQcAL0q&asA|Wb7HeNrseZC>Ez-%df@0HJ$ay}bsE)hewB$y zFMw6#&4#Y1RZG*k@7agL1#X0gv$~7nugsdq+9jJ~2`Sy8wvBWCr>V<#m!h}FxB*w+ zscNqWQl&q`wH#BJ(h!d%#&Z^{#h`Fars6fc7&`Cuy5vru# z*XA1bCz8LCE6Vrf(b84xmm1r_n8((hYYld5|4G1*pBa@en#QTRRNdvSc!INScQacH zZNQnu5iqLuX;1Y+vHG6t6W3%-x@{+TQ91kudahjqp~%>%i-1K)Qh+Zll4-Ll(&9JK zLaOdpsqL;Nq$1BLrnnt8y;)@S!%u_ciUarvyzMs@UppFB+#+?zJ~$m6_xBG6ogC|v z)#+cM_1xTbuHQ{-iIhotHJtzhFhsPx^n?O>+eNeQPWF~uwc4-NruCLjt*?&R2M)h) zeQkZ0eK&P^OOZJ*aB?N!$s@i#-L_S{kUn=^UFiNGti3Vcn|*O}$p1#v==okR_+tLh zi@em)+?N5ks@<|xcB=`z*}oKGd|)_eVibLQ_$EK1Z1NHc6`)Fa88Yr`3~JZA4FUdk znA9Y1X>$Iq^`JxZ2ORs#P5wD^C937|w}|Ejy6>{HIZoXFS;j;h8M?SdfvFDwq6Z+D z{ytkswT_7toFl{pGEkux^!eGYq*DY4=XLTjrT2R48SL_^00u^71=6Z+s`&39QMJS6 z!XuDLfI}qFqZ_Nyd^YeUG^AtJ508e`p@E;hwblC6bOEJ5DjDwJ?ijZ#0euZcSKk;m z9MxBzA@gm`|FRM4r2)4TTodJKB~Dh`ke2KEC$Vq5X%Ed|p-+x2)%F`VZb>NiasOc< z^|To_ zcxG=rf!*XJei;n&vV-a7QbzCA&=rvdpTsf`^!U-h6~Bp^N9=y_%_Jf8n>KjntY+^Be2^cG*&s>;gb$j91Hwf( zF@a(t*^>=I9e%Q+qcWZTbKy+`T{{g3w$AZ%b@OfIF7H21;QDi)1jxrtc#Y9LpZ^@J ze%y@@!qmce=RR6^U7Yb3%*l#&5UB4xRqohjAuw9ona(`4dr|lLj~o+&f!e4**DREq z%kB8A6f!HI(fH>F9Xt@@|LRkv{m~lK)X~%Q_yyWYS8k&fj3IRu7OOHGM^~_ha{)j% zAH{G$^HT0A`rr7*i@Pq~i?_bwbDwoTY$Cj3WR31*uC*&Cd+wb%NY5Y=TT5>C{;>>!NLpQtI>0Nib^z-KYqE z5rWJ3h4A|_I|-AC>B2l{on+O6ou3YyQ?)f zD0cHjwA?9SY0X73j5Fb^eR)Q>oC^@C%zoNp+vfSx&UTz|QslLAEyH>gfF9ivJ97(VFxIWv8vy-9&1?h3{qSoU(3DxB|J!{LR)R6 z>|me@lEruKe5l?y6TVH~VzmeQzamlCSj^{1h=IM7Bq6w*TNCc0qhO$V%FL*&t+ABq zsaOL!BeGab#?;oR!I{*q-JDa{b7??TrQx|1F+?&}Fj;MevEuVHBHLw87 zyl3NbSipgQ6_MigjVgOB--H>eWiRsk&W=Rz#yi)iInRQ;1PJ{SDe&rhxOMro_vC1#9how_#)x!f;B6Plx&^P@%N z3ASS9E@|9&sXS$v$RZ?*9s0}+7hzFGJ%aVxt|kczZWjO7K_eQX$zoQeJ%oSRGUDX3 zeX8Y8@R2YW-S!GJ z5Q4#|>b9*YW-n94^7S3hHO#U3iDoDu(CY!2|K2%GS{&(ALFCPkr@tA>uTp52xig$0 z9~Eu@?tZmxlwTAh=%36dcZ!1)arDPvVHG*YJOZCyZM3M`EBtDykmo6Bl4-X5buuRg zoEZCQ8q=0PI!d6Pfz5P>w2uJw5%bZsDKR>?ZbjX#MeW0Wgn@R%KnO7~1^~7?((ueR z5*l4Tl>&lu;C9G6gWh?&b7=)~^_gVAg2%$^`mLO@;^hD*{uNsiAkM-&_nKM~T-={T z0yAkstFRLnzUzwP5B`-*k{MTj+s$z_M76t_CM^201QZzp&#CCERznr@Rv#9p4tB zjvt}!AzwP2|17AU;qQcFz#OS%TrQaNTDSaRWJXtA(RL$oEDkOxJb9_|gY^{7T8ikb z2IM70k>7h-arO%JzvaNpsUl1xCq7~KS+m>gC9twfeVZ<+lM5Ol>oZ{hNlX9iUMc%k zgJ_U1t})BGn!5`ln);Qi`hJ!drVR1{B5wxoj}{_IvY*B^f<6R8gB~J(@t+eCNxzWy zhZ5Vv48fh0Q)_ud#U+xe`x&7s@4w)6<_-O5Vc0`M3NNQyP0J0YLxOAf>s;o}ZD5pV862KS&V{daT`YZ#B1cQG3<5QOW+C;LQoU z>-3ZLBaYcF}WK!9UhvL6m`8sex0% zw{3q;s@%?Urp)|{#Bkgf`w2_49hqS3{7(MA>jWso(5m+lS`31VxqWh{iXQ)zjUUKy zd=jdr1v*v4gCl9xVHUEJaKJMdZahxITG%&r`T5bbigACh5}|QV_s_>jU-E4D-zU3C z$2Msx4@I*I)hNfNN! z$X@v4Tu8l{xJaLb#hVf&U=RfiLpFu}!QjY-p=0H8FPxX|QX_=P#&xS%M}d*+y)LNf2g{`x_Sy^hQz|&{SW}dLFohtE z2j=4QzW2$R1uz8kX!jqdE52P92IfqE1dP!16WZQ`OMX*oHb`o_QyqGlws@Mhd7AnS z6Yg~r>Roi53U68#oKpR=Yw)0>$BGL`wN}L&Z!PB}LJ6Zsx87t}PJ2StoZIZ~h+1?N zK|ZngL1{=v!>|sZ4^sT=%lGXM6Koyit{e>@=Tsvlk5fi)SW>KQBYt!|)d&_TnK5{l zIl1H}7SX>4(RX4rw`p8ZS>OZg56f z!P|#kFwG7(KHD?#*-F<#&BlJW6bf$UJM@)8&&YW2J-v3ZP5v(vpVCB+1&8 zxXP2X21t4jmVDoBw49#1l37Zn%3O^tSuO8yXbFXNzna(J=M>lc?&qnQ*8H;R72h`B z4)Bk`oaLdq$|TJ3<&x|StntF=RGK#d5rfC@9-)C^!2`fr*cu8#llf-QDyTI^;1^? z5tsQd`Ay8`2o`6=U%nmOi*&w2`wLQ-F1oeE6ylQXzs&6noHO%cP_kI6+-Q87VO0Re zpiHdNX%iyB+=Mi$XAlfd!({IglD>|yL7_t$&*1MaU4<3as;%eGnuqF~U; zg^yoc*zNDgQ|a;LTZdW~J-sWPo8~+B+Jnh0lO?GCaPwZqRtu9}qo%bF-M%CEFzHh^ z(pvn5&E>Mw#2s1DazLl5$LZ+AT_1~HC%V~bj4Fq3&7to{4H}-k+4P7gTDGX*kGU@w zoo@-w z`&=A;+?y)De*&%c>hWjmb=4-rSApFI58H!E+$#uY|ft| zu0!MpBx0b#*hRmY^KksNvuI@J2pPmJJ>^19j(pPJlCp^bR$KDe^I9o)66Aa&XpFbP z_Q+6gT8Ss_{R^*mS3L5?p0s%r&}^51m!58vC*D2_U_^#fo2_+?~rpQKn1xw!J9FeR`TY7#KC`!Nz04U<}rWW*M=!33}{t`?X@noZ&*ABT= z(C}vf2_0WVAX53C&~HNJ_($w7JDKQ2Axf0Z`KBc>Gw~WEISr(Zso9#1`1+p@i2F9gkJvcs;zvCs z^0cIu5<|z1RdIm}uMab+IdKe0wSHX&t5nyUr%wo0BVqnMUre$s^gIr1Of+)==s6UQ zIplLB>hbWie!1SFToZQe1MF$Mi#m2+0FiuW?t|KUnYJog+*a#XFC}>wT+4si!n9z! zq$7PH+h!)zKB)5nIpi~b3}M;1^90T4D>M|+b|r0Z%(1GR2|Aw1DrLDSRBzHf=2@*) zF<&2H`$i#f7Td*SD)S2(e_$tr>p*eHaw0n7*(M>=$gFQQ>c;9N*JqAiF&O`+WHK5q z?V^P%`DiZ_qGRoukgtv zK~9Us`*_aNgnzUy}i9Ryu;$fwi_-GX0-yna312X(OiZ3v!h zr}e>}mB4}~0CKh3-vwpWytE~{bHK01k@>oj6E~UjndBCH5&Rm}?))vBg1*wUS98R+ zrV-$CL+ImEF}U9_fkF%BxAW}3>cy>3t|;)%phW%Dh7f1mw2N}~!u|!y+`=e0v+BBN zu&eqYGLvzuuYZF-VFEjuG7_W=af@SaWIn?n(onG(B~bzigc$2HBems?*0#P^Vj-ne z6_`8Alz!KnDHViBv$#iEVCHEw{b3b_ckVo$YLlx7&>&2XgW8eo^`N<#+UQTdP5irN zUr&l|$U5#fhYNUEXCEj1n1&wZHP5QdRXddHIY|0B_E8uAO@vwK0Y8zBWik$iMV>?7 zU(hTZs33GZGYX07#6`wS?-bR>(}joe#?^MCbLgOn?NPYIP_!uW zgh|s}3XVI8L#%H{x|(Amk}o9Ur6#M1#>pF~f_iRVFOnAYP7uWuXwO%<`5*K#8dbB|7cnku3Zi&|GnD<2cl8Ld0t_f* zyB1}Qe<;L*1{_|Rax4}0`XF@3a)LjyF|O3t{V``IbVTns*K&PKI8wbBBl+^? zEAq4A4;;q9a5)>eI7BY5-!^~EAuwHUPwU;VXr}Ij9h^8QP~b08aweyd6;0i!ochEgw+cOs=>CV+dyo!qoZ5Xc5`VO$S(AW*8`DB_hkrTa+AeGha;<_uD!LS z`Pu9%oY@$dZ6E0x*(}%g;;n;(I76FheYAm_Xjpsfm+@uC>0zjFmBZ6>o9Rniz8%p0 ztM#|0yFbQIGX{Xo3>C26l4mjR>3T_hC8kBojwqIo>Ds%4AU|PC*%Q5)|^ADH72LMska}A8?a{r%>@I=pv|RI#%&&d8`cZwQh5HjZQHZ*PoL(59 zV#TqXL`E@2UJ5d2dj4q2TpvwY{0URz7#QnNXASYGVjzVpFLlytQnNM8L~wzWdS<1e z7f+@IeL_GLHID4>WwVSCuqHT01a$*uzpfqTYD&BCbVZj&!-Kfe)Nx9=Y= z?#lDqj^0&pr^?(V)EQ&uAttpT9(0rWm-iO*M))*y+0>3Pbfg+Kg2khfgYp;QvoIuQ z37hP=6aktYc{OI?x$D2>IcHCpoKGRpK74ZGrWXST5g`0sO0=bM0tFM=b2&Tjj;Ic9 z>*;y2YXMf!2Mzu*b+w!?FyWB}{&=#rmPgVe`xap=^_exi77JESCHpFcx?9K37)@A@ zIh&l=28s?+(B&6h^G4reMi+=KcX_AtO`60qX3gkD5tAhZb2-L#DkfMzee=BdQS=wgQ;XWvfU-}j*q{WTdP z>RI%siQq$lT z{!CV(QbouzOymT49-O8@L*l#Qg9GZ=HTb;AATO@3| z4s~%a+4~#9D4!b755dm zfq8!!4PITcsR~nK?&KUpUq-6sE4>-mT z_XsL1e38ydKcLEYpqM=JkxE6K1JZ;fS=g)mh+ZDI83`So!9?xSBWp};d_guAyd>;` zjG8aEni5&qCuv*+L)DL#)X)bwuv9A?LgO}3U_|vcIk09=3PP4%E3fF?yb?f0QoO?Ictd|w zRuuyYE|_u3;7ds%8kDynmct?ZqJV({z@?ZmM;$a%a^;gX@0YF5iNYoSMldCKjhI0r za8!6OM`f^fipSK(VwdBJ-rPkx!xPXg@BZ=7U%%c>n%kZWb0|0V4~n9KD@saoZkk2L zNiI+p9?8n%Rf#g2R>QG_sdcQRTNd5~1617PDCEr#sf#xd!o&tKz zjOSUZM9Cq26z-@5pM^SnoAnKDyww!jfmgac*E|n%bE*QGsmBL&(ICFM5?2e(HATIv zRjAMw+G_KY3GO1VRAxl&=2RByy-tOAR;t(ixIQbhjss2zEpKBt5yn-1gp~s9KI43| zA*2W<=_^nuOCD!Zvi_sloc~V2r9iXU{GIoykl)+Yx|I*1nIjCAPPx#e5e9%$lF*iG z|5XO<@J?pCg1ZQ1-uB0o?6i!-qf86+b3%^OD@!%z9e)W^5%RCPbDbl8>#e@-z?+j5 zS>k~6GT(0P7CYtHTFko(;((ihh}sjQ+k<$~`}@`GqZ^>;{VHn!bosk)@!cx%_lM)u zhufpO<$%FVzqfIhzPYW9!*iFfGLswQXN3>t7A{RyJuD6+>G%vb7Cr1w=fqz5lnlhj zjjzz7eg0GMoWgP#Q*P@G(}R8clRBeO0i1@PnS6c8Z->+dSUFp$`rO1NPtXj+IE<aX18<$~MT`xJ-&*2x{4yVJFo7uY|FUzno+){qA-?sdc{#!hW!tw~q{1Sw=cZr1 zFa3G7$=b<$4r# zucCHq46BzCVXBS&-nAyem$N6pFhi87fkY{LGqQRO$|Y)ThqdSKnL_q7Vm3W2Bgs4G zjW8bkVUYEUU1lPJ(h2DseT{!1129hj8>hj77n=eH_>zciJSze}so84`iTzNBq%~w@ zy-m7gXDCm3(MvW@FuQ7LeDgd0x@hHK08LMTR>rc&zR!#nWsA(v>iC<8fOON(rBh$? zM&ZH5m$2fqV00I%;yqJau1Q8j?Z!*Lq zMnnI}tM{zS4$1iFT{va7i?Zt=PvCz*5>|p2eVqMi#)rDeiG($r+(cF8lUF8xX3xCW zetr0}cX1_+oQEYzb}+bJjCRT;OxjbcEKmM%@*5n%nmQ7Fv!RM1xi3$Mp=x-L>cRC3 zVO?j?ytbT1s=-m2l(YuwZ%HTWNiKlUpCZp$jaZB>wL(krOOvR z(!4c4Ocpt2BlUt(UfD)Jdr~sQe8sp z=4-0X#IXFHQlk!+M;La?f26P9%}|*{XBZV@HESz^eP6-a4j4`~C{DeVv7j7i9?5%l zQuvQadN0hO#BCF`Wl5Y}f@|MwU_AYgs`Shgq8TFG&P9pq-qq+0u@)+*nTAzBcQp>J ztShb`8_W8Z_JVs(t39~9A%s&tbGN*vx0dx+wTW|$m8HF8ha8rmj0;Iio{LBcIfidL z1Ig=pFvrGb?k5#RX1>B=xUwW6S}o87mXw6Y%pG?SR7{P|Cu>NMdb0#m4#)@5pG%zt z=VwK6-A01&_A=2BkSy8NhDEW|N{(j}c0-e`;P7P(G3SS^uin~S{hRutWzFtJ8zeS~ zu_4c{EpKniPvOVDDPMYvgx2)x5&uf7Sz7@TR4eA8?AgywL8^HvDia+3MNyy#%Dr!tqaMKri@~Rl zEHCU49L%Br+6YDC)a6sG?k{Rdbir)8Fgf?XBoy@+>W6vHzVsrZSB4udv)J z;{)MU!Z?%`ptc9kl#+-dU(}ZA3|0oiM4#sKOAx}taqL5I7u_TWs*eL1Ho~uBciQ+c zD)++4=)7TJzFE_$ej0j(j^QT)~{$YKVe%4A!0vFWVsg8cS}g>J&e$mM1nQ!Q!(NzrR#=ibU}M~9e$t#nA{5H z;RjoAx_uZ=9(-=DbM4cM`uzwbOttw(B8d6R0YH z0$5}W781r;(PO`_9mB(=tyqe-7xzl#R}vqNCOl?x=96?)!SIQr6?L{4~c6R8@be;!vfA<;J$fnb@K!pXyMn#$9Qn0E7ZI?eZo z^{Ca`N2DC-l|ky2UX1;ugtknf0(1sxTQ&7>rUYx!e?J)yMTjx-=4h`oZ%wJ|gpMU0 zR{++{BoKNWXXvWfQMM_KFzfifiub5DZ)ZmDN1uanjBE8>8ZsMfuQD=&qUc3K+sk~S z_2n3-Yo^oxbh;9%YHQ?2U@9NaD=cnqVU|MNf4>iF{+GKRNA!%6O~*&h>pYIzIHKJT z^_If%(0x@xE-y^rDw7b?eaL*~E($Tspmxtv>k(j}BiptpyL3Y^G(JG!*`zX;lrjA& zVzvhUK0A}=69_9jW*0e~z`#0sMD^QgH7Gt4wzF6Q3gqXvf_rq~!LW_r&(l369*fq4#Pm8a4?rLBv5#>Y3 zT&aFg7P-z0ZPX}VsiX&tKd)yP)^^e=3znSL!ZCf|g8k!utJu4&2E)r&ULYvi(X=}g zM9i1Q&vdehdLY1YIn!i{gBp!)ET2C@h@0N=tnz*&y}&PVcuH}k4OTJ3D;CA4%F6$f zM;FIr$Da&*!II3syqY4nE29=KMX>;o@x==ISeMfDNhA&e4;8`l33}d0M0_n09O*nL zM+u|+f^01kWa2w3S}WX?5fjgYJ6N#2ArMn{>OsuedqlaQaCp>LJ}yGEb?0gON+uGK z9dE;WTYP7{qS*ol#uv;nXZ7}%>bxN7ZhYU4lC-;=ilX6|8k)BE|An;a)?qT_b?1I8 zY^W@HvxBx@VYn1yNbcHFyffB|BkF`QvONOUtZzDAU~--L&8-UI)y>SIXIERKrE zT5bJ0`-YqswSn4z&=zr~^U9vuHqP*uvKsMKn@2{t3>L(t4@jSnj#o5nFTdGyux;CD zxc=$3uQWRnGVYxAEsPKlHfh(~K0JBQIh>2>)rkG%i{e*n*SAj59TUwsx;I zPF8C_jlsSoxo+d4C4_8i$ETlXr_x+*@vktl=zBT9zO;q4eJEvmaq2u}zWItJ%f%Qf z!aqsa{m!zH#%D1ti;aF!%P6A2w^M@2P5z6WzS7W9xzGf2Y58=qor>rY$QUM+`7ojM zXZiY2_HxYC>=JbRV^AUj$qQ+?XuqKPW}h3^XhCdnU&;31ewEJVz)`n0%c!wx6Lv$S z^RlgG^HSLrnlyU1+RHP)y5|3S)_RFNcHe$6iu3IQw3c*c{#n)Fl>gX|`vR%55`eG4 z*gi4Z#eD}D8*;n>9;{fGD>u7cK)rAe&!M}xrUkYqYw~!VG-(Fv2{lz@zJR{-s$t=4 z*clHQ+;aWXe(By`@oHgBexCER7L#Ycm{YIm3Qlv(3!|Zn(i3_|G#D>@*jIVpf85#1 zO?8!WC@>G0`1+c5xo%Uy4(Z27h8f-xuVZx)LqYT#*PBbPypU^ix0SlKK}hkDi_`O+ z#_!Pk)G0KP+cn_#hfBDp{c!mG?x@J);Xd2{ay>ra`U*JifBAq2Aq-T6wIulW<^F%o z3E;g4{`Lm=uQ|cro&>Cl*5xL zsKG8dsM+Ct8y*`Wuu6Nn$*Q}-TQuL~2LA1s0K4X-X8+sm0Cvqq z&CdPb7;adHga58MxOu7B|Ly}$&CN&6{;y>M{1ZPlJOBTTw=F|D6xkG2wrkH^6Vfcdy4PFDWTu;%Z?|{kRf?|Jp&oKmB*& z;_&th4)ATVN?EvDn_0kL%Bl=&@xc18Q3Gs&JpZqK8sG>1KYbdqQam)&XNe+)+j!el zlJKIFM{KRsp2%Uh$tAKdvZLcE{767}#UrKRB&C{I_>_ZwB`{AivHDeX7@}(R9x|!a zgtOB#@)UXVa?<5iufxHNWvWYm+w8XCMax6Ksb++P+YpqWZ*|ZEvA*a$Tixo8jQwC~ zjE0DHgn(p+u;Nr(D?tR6dGh&*?@Wx{XF`~_){H}ab;CF=8q&iSUZ!h5!jd3z@;?ArZDvCT`-5%N7oZ3J>QGZ7P$PU9HBy_1Fl1B7Ds;; z0PC^*1nn`2#-zksPoYg5?XS&3+~mW>dK~{$llm(2AkZf*uxz@jo7*v)CDC&PGp~Cg ztjP5l9gVT-{2nG8!0jITt;<3{TNFw9T3HGcY1Y_hK9jzq zSam^oKYaV{nU_6j%`3qfK7KwnduID~`iTI8+l-`3_Y}j>fCEw~Dro10w*O~rgsMV| z`q}FUd+X;2278DqEq4)v#;gd@HSHiAKWEBjUqiL7H73h9r3(xCiip{^46NIS*V#A$ zl19G6YVC`M8z!EoANi8p*d+~l9o~BvN_G7jT64O>+RToCQlZ_0D2ecIY1<=Nlcl8w z3g1${O{v%WMHq?lSt48vnw<{C?Yz&QZAyungW`{*=sYQSNhan`i9pYYPmS(l{$}LR z53@%W>1y!9=;ySoo8jPlKkaXC?|%`|2E>`kN^yK6P#uD#-|9Z$qDGJwL)sN1-$o+* zf!y!|{~H4C3eppC`bcDFWA>HcX9)WpvM>vKqwgUgKp#i*bhe6A24Cla?HvlT8r zG?t(NW8?)yH8vb@Aj1*HZ!x^kuwQu3)gs)eC4W)Wgy|%Z|3N~L#8;t6eo7}PA@}6D z*j|oWF~!&L-7oLA^|tBV$eIzbB^z^8tq884d!x~?p%-@OR^i*B)EWc%p2md|ck~@` z@KLb@H~#qKgyf5N5DM%}UBTDE5DhBA55&V4$o+pRx$ucmUQH|27&OEM}o+hNK6gj?I%oZEDdf~Qv4SshCev^4hri>YU# znh;}Pg}r&Bd3}F=|B6XtkqRg*86OMht_j(@PFp2^QNC*aS|Jy6MzuB;myvhy50j2{ zL(xlX=(oMd@Vnrk<7ZK-zt%hgZE59_B~ql~8Klwtlm9cG+E!$jEX)0=8wO>kTQN+PL zTP?QQuhS~mam+Er&?tjkd}QUVNZ)#BZ}(2Bc9MFJPKCqG%?CIC zTlf7+mo06&%*}2N?2IU^k<+A;+aFhX2b0+r$F0Y*lsq0;pUtgya7}kgWjYN+v=$(o zJFPHIm|X$+^q6tEH@jEr)kO8~dg&0YJE!ZTi+2jowkJ3ix3Su+1`iDyFWqIBA=i9> zlwLsd4J+8B5*?jjQ(%*5bFTil%BJa6c zdn@49Si4Qzvv#Yt?kvMLPMffepXHy`Biuo{N(w*r`slkB3D006S)W*1B~v9~C5C~ufewLZ0*3=mM8kVXV!o_eItPxE`mLJ=RI*vX>Z1toIR^sasc7`t~ zft|mi^3k^N9Qay9q+tDHxwoZ)Nd4wj`&R9Y0mZD{t0cU5t%^+Gy0+?v=_}}$>Lndg zJy>&?l0V27`BG>J)EB;-x(F|2Uq@ddej+FLn*Ni!wbRes#@%{~bNWs+ai~7jI(`@4 zUzm7Q&8woa{K?;8VX0vclLffemizFQypAzYOf48sAtw0mG!4Myo-lbk+0j{f=-tVu zA6Bof$pd!02t*9%+g5iN{Tu4dKYU!}gf(VMwir1!koZ)@eYWaF12jaQZdF$Q`a z2jk0UXO(KS;6qD^u~{Z&p1iJ79zj`Z?<3U*yd)0@n+%gh#EiMx8-$$CYG{2Zdt zZ~_sT|2RK7KdmAD%CH+s3#^1B?COlUQ(9xx+0+(VZE?o~asAb0$BPr%XpHT0VP8fW35t^Xx(a;r8QXa+AwrmzNzwUC;UJb+HCbP_?cNcgh$`@Vg&zub5tW zcW*xq>%fn>ZF|SoRn@K2ov^>KaFD~YnX*2IwF}B64re@jQW{XodpGt}=#uG-b)BK| zJVynA6{1E^YD6^WDhD&S0cC}r4iSh-iua^u6%14bzYHEY6}6Zn;0gr#*YydxemQBZ zanA>p4L$4-;fq>w4lR>^Wy7LK&BzTQH)e;Ys>~yU{(GBS!10-Nrz|N&CPL zDr1;Cv|-zC>;isWdgiO3hS3={p_vQA?G3wA{=wN4<)nRYlj65sVhs)qycXiiYy(H* z&zdoEq4#L-$<3V;eJ7g|24>!E59pryn5WRVn(N{1{;uS;Ul!wj@Xc3C=G06;>p`ZG z>mo~_rtTxEiRhEP(Q}uC*fL&X=_aT2AJeoJUW&73O{ts&=$3`+^?URBR&xB9R{m}S} zo8I{@{fjG^B^B`hB2fWbGI86w@C!?#no}91c>oNxAQ6cKz=}-lHFg+cgoIK^R2Bn* zK|znRXiNf`KxBg9Mn+I?8sMJBV2~hCA3E*?(BtCpEOD!gC(-dN3Xx1;L!e9&*&Bc; zI6R$3g+RUN1o1$CiNoUocQY{5n*=PyATc0N11gQ_O&~&`bV-nSK!=dYI4RthMfJha zSrjsk#e_g>Js5G--v&yfJB!-9a&yXiA|dr1O(4M90dpo zkSdb8d>P}4^CMaSVR+#H1Ga_cU!q|Ck2w+2b6OL~CkRXu9tVcb*BbIgnn*3MU?vCt zY9{whDgpj;<`9^HF%m8v(SpGHUj#G^Ax)5$Z(k3_ycqks0@4U0O_*0aVz<4Y6O3Rm zX~Kd6`Z)n^0Q;V>V2Jk<0v`7zY3Z$%cD(x`BnbgXTAJ{a+pv(dga9NhMUbdOnd>7% z0Fss_NP80gEF?+NQUo@gKm-GF6afZ`@%4kCkVr!$gb4YDiS?=YgHXR=fVH0t21lV` zz^;Bb4#13ovVM;N!(``!qhV-SE)0ectMTu+0EUsp;21OtDC~FR5WqlS|79?^_%h01 z2$*bq2p9tSBi9fH96%YaAyPJG1k4B~TNeOB%EpXrCDMRb6vY5C8xG literal 0 HcmV?d00001 diff --git a/simulations/figures_sim/figure_toe_corr0.1_FN.pdf b/simulations/figures_sim/figure_toe_corr0.1_FN.pdf new file mode 100644 index 0000000000000000000000000000000000000000..a4ca41abcf1fb22661c03f22c84519db11a2ee02 GIT binary patch literal 5921 zcmZ{ocT`hZw8rTrh)AzOKsrK5=mOG05v2DjAq0$uB%}z^n*nJeO;M_JQ2_zzC?X=# zizp)10)l|j38*h|#+i9D@7=ZT$~xcO`|Pv#KlzKuNQ~VSI^j1djSuMM+%=OwoST!cZkS!0FQf1lpH+3dmol z0fHPZV-Y}*5sUysVf=w08<;-=4^*K9*a81e(D+XRHI5pML!b$NhJ%bSXaZ%42WtLG z2iYO;7$Oc%*-!Of`%wdakK-%??N2xl1Z!zRfFKhjia_ZAWP+j$2a14Wd=b=h;|Y|R z1ptC`yWK1>A{s|J)~f{y`44Oy*G;d1)9DPj>uaM$V?-YHwh+Dj?W?EgzHduy3j|JV z);zbuyq-wv2_fOD2WJZ;6Hn?=650v=CSy3`;$(_mD;nL z=0htlfmz<>4x}~{Qqe9~>qK(Z%e-t~?RnQ>-`0BRBL-j$i;)|5_&xtYuJBPI!TKiy z=^)I8IeCd)(!KNSQZLf@g%<=Cf^*}1IHy0as|#YKf0pT-SHowY&cecdlLhZ2`SWO|xvBq4fLWV&Im7dN%IR{tQp$dexuC_0C}RJn z)(Ja4Re^aCm51FdGC2i=v74MR+GR|ii&Qr+3?}AQvHLL$HDSQ?R+af!2U>G+EwZ1Q z-QY_-F8R$?HYam*P7s5FN;`93zy1>le(QXWmh=c@lfS9|3$IdNDkG>bl^4WjO56X` zmbPxm;TYxRw2#sVXKZgPsqhEZ+<}xxA+U*z&Vr-q5QdZo>w=>=PK_(Lr9-1^8WYL9> zw!|foIEL(@y*VB?Y}!{kFUJUtwKUr+5G#Uw>Fk(6xw?-gU$OT%T}X|Z!J4|}A#<2DUv#7@$IL1WVH<5#BnJtPWnwX|C3pYbS zC21d*D2Kq5HCOhMx{YfLqlasBCGu&@JRG5AyZW~TSFv?~^eLrN+6w}<6t zRqHqh*QK;krqBE78bC`eR7zG@h963|Y^mYywn%L=G4M3CO?~hK={&Uy3Gow%G=-NC z89(+jl~X<}nmwv1EaO1W=zilYP zB00HhmOn~wx*NeyHb93xlX{n08w1f4YHs>$6|v8GbP5^tEpYR2q4$WkP(=S@)OBR1 zW!=Wb?~*jpK57=nrS_iKTf?Vqlj`R7q{>P&Z)KcYQK&?;)R4}o_1~4LU8_jUiJX!c zi>dbe_?m2PAh)pny-i4S1=;U@uwPj{ubE-HOK$u5ZK;XWCw4+}Vp}8Dn)`!0v}_c_ z{lT8{!@<2}0hQ)BeHPeW!4W7P?Fd%gZWaOdMX@i7<~_CVUj`XX$L#pbcAIs>5fNhT+f9EGx?5s6&DB3|$qdPJWKA z)Q6(wbkiYdgW0!r&+)Je9#)akIlV(=$PrSw{H=6O;5ze>S2_a z@K@5EyzgULd`7H|1qoV-`QZ(%2l$_`FAQUqRnG%W!%vfUJ(NU!t_Af?ziBb1fhwDT?%@iBJ2vp0zyBem2RhBCZ_;_T7q&IkWv$Llqh* zTuqJ_hMc00Yi#{>hb%j42>yku^o-$z;?Ql+1a(DK^!qV zd_X5teUaCOT}8}Ug~y{uAx_?(H%V!wVP6brD9}QI zk3av%|HKd~W&A+_zcJ(w`T$uVeepndAeB1ofSwdO!4N5w0S1CB5xz*6Ato5;u1xu+ zqNNU0QCIf-2dGd%<2P7PcnEHfAOPJ#6e6QkKm-#!0U#3!qyTkvKqe3%n7YX?%mEn( z6HM(1R3OvQp>9VhiNfIQu`u{A1%$UVH3X{t4*wgBs1miFJLrs&ks%C^@CB+k$%9#snLkORkx+*^V4=3x%UB??b5X@c*J~vbuh81ot}qBf z#{;oE!r5nh?+ebhU0xr!Ju9{waj~F%Xxe{0e4>RW?J$<{=~)-ns3S!#JoAg)2`Neb z-psT|zS7X6Xy&kWb%uOx4ddZzMKMOLOT_wOYHaC+O zH})ny1o?Y4b)9pi8m)V8K2o(DR5l-!aE*aDW#BhXx`*xLAUL!(A#pl_efYrz#Mck+ zWZtJ}adjkL_ZH+|WZ7$mbV$Qv31>+9&oLir1;eb=X=KyiDSg7*`=S)#>9UX*#rKzK z=FED}eH{h4^bc|OadZ#%yD4!=mL~{Gd)SjwGPslGhlVT{le+trk7}fxSOCAt5p)%q z$IqDg$%K|C5BDB2R{W%q31q`yMdyLTQIv;`OCKuhc7f}@c} z=fZ~UI;Ph@!h$z5G}8%SBQFiKUq~7B*^9vi?EaBY1@U`g%s+^te4K}p9SNXJV`yL5 zS>W012KN`-35+?0B>laDTYDT`KT0N>v#-A0;~dU*p(_;^(vJ|Ok(K8JvWEI946lc? zJvXJ_A4nR>xtVt`6!Rn8x#{eW7krYDsc=&$q>0OR@XM`3H#$`yjj=xcvcB*VJ@*ra zM^8ALXgKER=?r8O7y`Y)b1^(=v``>FPgFypKxWK+Z)qzQkZXEfrp5y@ncGBPxy;t=ZreWdFoD*GAG|t6T|DllB}HKRcTx$bV&WTX`&@! z&535$%U`(jFc}+zZO&%0y%giUvT!H6$f-!Z_^vIpOYjpzzFb&J8Prb;fcx3AS;~ z99vK3=-&L=_YJXU62=k1qL*4AF3X+F`XJ8CP#&gOls;^tY0+d6Y#_;Su_!&sz{Oj7%hJJ1RO_J9aEfzfymtaJTx^ zr;5uJ-(H!IzkOvgK2xbO9zH%c-dGt_IXkA0yorpv_~F8r5zVS^grfneeIjeQ>00rN z?SCP@Rtxv zmFa+x$s_7@8W!LxurMTk;CMgdr`CaZ#bG`xKEouYB;m7MV;MPJC`78;sA8-ln_}z9 z0#`woZufw?T#_}(S`8@9Ic>Nrn8I&3tdqB?-&XI4L z(Gyo*>3?_8V94KV!b_t1X!UE9|Bm^N9Ol{7Q0ueM;rIpakM^thS?3{*$;MYfFNbC@ zS7zlR>m$>Cs{a(Gb)$V3^(m@SzvoF-bhtrDA)~=71CE%17~@V|ajcp5i=DLAP4-2$ z#h@!O!%@SlMY~UvyRxr@i>0!1uvN203c$E+kBvNzYVq!k$!4sUXqV`dScm37&)f+q z<}K#FbG!IlPjF9Wj~V>FkMnb{#IXeKXT%=(`{MVv7s~m`C*L(=bvjQMY0i@+-Wy*| zQaU-|lH0Mj$JH&BD`m`fnw9)Kt*<+c+`3b{9kJq`#G7c`t)bq8s+dZ6EBi*X3At8w*HX+PSc>1` zzJ-GMEanrsV=rsKIqO{b+w^)wO@9$;$f@6Heqv?nUE^_CXQd&K*p%qQc04oOv^VvJ z_Kh!XHZW(~#-tjHhZb&v9+RF3n}&wvaH9FPS&Fk|=zYJ{vbV2WFSk~I`Sxbasoc@o zZ5Lhby*?1~m^{c-OiB#D8Lo98s&1mO6FER`X+Be2S^v2!Vm{(?bOL?&Kt5A9pu6&ura!h3uSo@9M`^$vG|)u)2o(^gg8{|**^7Z`E@&Q|ke-csnp7}uR z6w`4g?Rb&+7Lc~*nqa<0*h1n#)|hj9b$%-!c6Ic{;r00y+t-*GvnKKO-q!skC-VKp zMm&1xohzO{yzxW+XnW$ptzF>=)$g^Q%Rt@J%etq&dUwWZ!{61)=plY?MYJu6@58#| z2BDiLrc8UJ!(~8vUVFiZXC^Xo%DeRxetI1Af0zt<9DE2-=G9jF;jwi%R(<`uQO!HXqf;a|f!bfdY_d zA|9xv4hke<2nZCyj{pFxs)Bqm6lW5TM*>0qIM^i$fz&e(j8>lDp?WEYDx8{~N^r@H~Ir1VHvgAHpvSlqyoL z7*?0D+KT3cZ7XfJhOg_o6TeN|!EGdI<=q zprC>%9TjPw#2M$C^UXQ$pIrOdYp=ETy7J@R55K9FjyPCC8o(d99JvxX9y#rZ0f2#$ zK=chSfRYjbq=|t;aR@X@3yOmSg|rkQk`PHrX$TlB1D1nG2?IdJXt)1&&k}({5>J@} zbumz1PXr7LG{NJ1@i^i!Qw-V-4})V!yHXOe5@4eCs}`Ch2?JDA0C1EWsSC*8-2g$B zfxd7cNE3>KBGDc|kSWvyjs;2)1I&T{IUx711Ee@oGzN~s{S^+o~|9 zjz!}!Fk(LG|H?-S_&p9IILZU(350+lGC+_H0*NEu0HlK?4o3?PL%YFAePeONnfU+$ za{KHJ(Ohy&9pg2?TDBhy5_Tc0o>%R<=Gf&wcZmQImO)Oz` zm`+=XwlA)%v;&2?u{b2Y)JQa0?raS|X;9VBFWc?mQ$5+8Uh@Nmu@v}+s~+#(eXx82 zt=K6r*j{}X%HJ8(sup&%PJ1F3uj;=Q#%vHWhuGl^SJ~K??lx)dCV)Inl2XqI12vf@ z^{da$0o9i*OkbP@9;9F7y6y7#QBA3oaVWktEDZ0<^hfg|;xZyxscoTM+|4Iyzi4u} z865HaWm&&ze^Pfeu8Vy)lRfCWyPtO%rua_d|B^JMM?? z!C+g#649{^iL3GHt?^&l2|)s@j8}C*#4i%?}oQpH2p8Y6Rb8ajbc%LV757`5&aH z-~B`H06i_-z?76rX#^a)r=z1KewB-(Xk#!w!gnHzmT7tL{GD#{nTmU~S49mT`%O;Y zbc?kHT6r|d3i{c(RjF3G&f2km?C;wqhP0AQc_8r zORA8Sj_P4X39r|Ofb(V-!fz3tF9I9ZEx`@z1jz=BrD-)6t!3497OSf3v{o|3w`6D! zc2lmF^z0kl;h|U1+=j@wN@$Lylnaf~1U4sBFNoMD3r2XG<*&*VS8+&C?rVK1q&K0K zbe!TOSGZe4d9|B{O{SO|S6dS)+~{feO-h%}@RQWjJ|0f|$7{ON$;fWXkI#jHRg4r) z9_=1E!^QjxJk2|$T@z_!Q@H*WcZPnmok*nxxFM%KIRN}e-5bdUR`C~E!+cQ$l&2o~ zr)#hBifWT-Zl^MoMcbDIKcw_|W#>sjp!-m8zTv|gDMC44I^5J@jn+$wB6{KZWT7lp z@?kZX6oEB4uCQ@?+%#wY62Usp{h_#`%wIZHgH;8GSK@VAuQTP$#(muoH+lI!pmeO# zdz#Gmk0bFMm{|6BX{q<`L*Zro~a@<(~unz+e#G^ zVELnv{P8)5lHB_37=doR(??EG$D4pgDnsD8Hsh2}Qgf_Si-Ln(#9z8aAt5dnr076& zUet(7cVlgxwff|vD4&_zUjYDJ%2z|(*_7H9fJUndsz$1!o`$GS8V)ATeRU*DI0uHx z$n4GAXEX{F0(W-*V7a;|xcUBiOxDN+px9kf#u*hx+!MEHBM9@o&x z>|EC4T)O?csWJgnI9=N8E=Bsp*|~rkb^yxL=q#jZ&(762TN{P}d{>Ev1_N{nUCXa@ z-5mBY;UbrdQ{fjOmVm2mHr zF;y?uB|%y)vtmGcKY8e4SJS(y@tVH*@udqD&hdLDt=wY;qqQZ;!w2vxBT*FR5c+Gn zpT+Ec@>Jy>Vb9jz5^`s$aj1T|s_59-<&4C|^i6)N)vDDen`^ywX{Fvq-ot3V&KVmj zIoRi|Rjbak1$}MRFK_Gxn&@ZZ(BnrB><3ocG3TPL$}L5{-#gbzE^Hab^BkoH$XJTo zzL27^xv3fNJTuT-+m$UWz0tx6tSY}qzPPNi*gv0Va*S4{y_z82bZ!2+;qdm@!_1YI|5dP@O z^ag-RP?$JTK_)81s9jD%Gwj({+|R_pML`y#c{bH;2Guy{`d!|Jsld_0B(NN3`C*Xe z2<^K2m&VLXaecQISg|YE_735XCQiJuQ@OG|N?)npYDL*Ym1)xXazzsO6a3R3Dw|!b zE$*+pt97ERtL($*O8wbkAU@P9Ek{|)=Y;q45p~J<8{X40{gNhU#-9^0pvZwfdzNv6 z2b*_w@YaVX-(ojMeBmE6+kc!KE*&}C#0oDuJBGI`a3|*lK2JhsZ_RyKnAk}^1Po2( zZjGIOTe8L>W9>RV$LDvl&qbPcp`LfP*ku#4WLyo;K@RJ zov-HeH`ii4iWEs5%;vdd{ec3{ysqXAaT^K7V^82wIXUBOHp>NUaXq7+HKEJUM3Q~n;Ejv=SMSaF6eTIlh{sqc3oPgTnJ zQAP$6m`_DxVz-MT+-c0^JZ)*;>F~@z>(ARZa!pM~RTm5>h9>asem~C{$18{vS?DjU z_=}22(DNsh{HCHmVF+Z1aKi!}fFuYq2Rad935_R04;TnChPxr48t4F^gCucJNH=v8;B+l; zBtBG9BBdjiM4~YkzEIdN1%x%%)d0%;4*w6Qkt9+*2avv|rUn!XcLU0jqMUw{A8Gab zj_M@TLXnDqwBUXS7@U+8be%|Zpx;a;L%h=e#bl(O{${eg`~H>|^Q>{>?Q-p=X$%SX zCcHh($@OU4^-?87z|;%|T`6R|vRanDT4t%`=OIFGBT6(=pYSH!I%D?a^H~lp!cE_c zm+tGkRdX!01#XSzEOCDi^Dbx~f8((gI{S<)_zv51C6sW-%YIwLhZ+{x}kuR!!zscl9W}~$6n54lNuU!SQ7{-n*!?)kR7F@Zb zz|@hH>dL{kdj6mV(jfqg#_7kZ^`qZE;Rv}dOD2@|TH+(t!VM`7OA~@biLV5bz14f+ zvONW|9T{gHrtcdYv6o=ttBB_iaI}cMlg^y@ZhYK$HL-6*l1}c<)n)Kp7Ka_zI}Dlo z__5u^Kp&2$yw~RB733v-#Ch)_!!!rfm!l1RS!veZ+O_z{y z^Nu%LAD{ty>GEkfu%@#d$~~xDt9Nj0+4l#{$AY*6?sKR3E3Ayid>!$id)ivVu?B-2)-SXaBWM#0>5wy}$` znT-A|1-ZIV{MnnX;I~m1Q_g4s*)B#j6tdros&*B8NQEzCl#Z75WyeLr-b%}#lZYI4 zJ^T8Mxg=eFgzz?CM2#Wl)*u6mc^nR?Imq?&mTk(V_Y{1?l+dv$%$c~nR=38uFMr5F6KL+?cp8xfldg0*m>3D0v;jeB`@U{cfU+B2eW0dTS7Bx@;1w2cFoo0n1wjyVR zwl7+X5`=Ifj%ESn@ix+y`<9M>WY*Xg1!&#W+j+#~{6g<`b+4IynPmyi@>A?oJ;Z8W zN5N7-Gq4VmxJ&s#_o7%|{Icddvjm|dArB##WlW_B+@ghmC+Mu(t;^GDN|jSim?O&S z(Vo%u!Ym01c?R_c`384}Zn6kpF1j>HvG!>natJ-dA6~N(w=%KnSQnU)oe{09nfdrI z@Zrvk0byZAhp_laiV#YeCNw?rf3!5MhR8(3c)$1hGAUoRgQN3F9_HH2O;d&7+uarF2#U#=3=dnyaN_uvkD( zdg|Ciw|#IqP6mI1=YRI~S@bihp#C7Upj$y3LErbO55-RSPA(s|A6if;Qt?nxQdLtm z(eA{G^<3<6iam*~xs!C~Mv^Q$o4VNgz3~hkh`qt=Y2i5y+pDV15`Wp)|82o>*Kw((YSnK%6y<>$XnFYbML7L4O(r!o{xlU7qZ%G}?{KRG!1h=M+pK3_L|Ag1Dx zN9C&exQFwsGj9!D%}b=mH-m4&=-yZ3t-Zk$am&mfEH$B0L216>)Bq3WfDl`-PihRM!|XRa@z?o-zAw(}12ZfRv{=@$o;u#_+t z=aje%1Pt68(1TUqu<3VBn2u-e#Sg$%N>*}~E7%UjUbpxvb*mJ~zdPhz(GEf_Jl*JYZ#4ZbaYdrP4xmuhT(Dx$2xu%a2cDY40%e-3>PowhXuS~cNo5y%i! zHt;iE%vZ`<&Nolpwd`WGypUgUSTS4Has7hvtAcOB$^z}m6c17}Z(8axmQx==8l?6h zadjhg33a8zxeqoRW%&V2GH}iL#HX!&((~hlh+eIy&XDYt`xfbY0&4BL;qGLTYCV}<{N!ucXNN?V1noXK*=FR!SMdu%bMnoI&GJfPZo>e6Hp6N|QG+G) zM^wi_#;8q(OXxycJ-l|L2sv&&V*PIR^Q+fQmxXL3#zEY#t~_nWo`dPWNPckb!Iw5u zsEt`uVy)p*LwgR#c_+AOL&JI~-r%d=9UJ4|YWI!ug_o^?tud1WyA3c25qF?f;{!>rbyRc7@@f4w>$)ls<+2ZhO->Opl zuIuye;iZ7^={NnzDs)BDgDd25d~sL8a}GAX_Nd1N->prq5A`^3@;TQ~Qp&vUxTr9b zF~z@;{P~IsXFz?^Kv~5~@bK1m?rCLftmB7(dFto4i_f|v3^FDq5q8hmP_4vt!F}7r9H>WSp-uphnc7+wLoIB!Hq`FLX zEsiVh8R(kRCP%(p$a2C_#Naq7FzW-rl;dd)oTFIs=BSszxfHepfY zukEmGp-u1er`i*avcF#nlRkOkv<_5OSyxuvcI}S727CQPP!;}jKdfzy=LfVeW=w1E z>MPv=flxt^s`Ej>vHom&Rz;tx=ugL^k@xfdodL%XNtSCer;hu_(=|CR4?E|6PHn=s zaC7@7HXJqX&JWtm!m)3~Kl}V_&GcuMYT0_SC90Ykw)TU4e`m8I$)q5R;(N^A(Z5hz z;cpBD{AECDqljJ~0!4HnN!a?Il??)=j=~~-3jmN7!rdKCbR9{yq61J`2IPZ4;jusk zS

    98V5(h-Ejc0v^2;KO*BfeSOgH{fr0uF85at}lTa6iz`*c6?nrn55QIY@-H4J8 z6ox^gfS?-~I4O{L5(Bkg#JVK#G^c* z7`zV>ipK##Xb&_B?oF%){goL@B6p{MIIzE1|2K&LX~F(_34ko{H*mikS&~S6VqAy% z5L+U?4t~w$&lo*8(hrV9z@Pxo@3{a;6aA-S8-Rhk10;c9FhKI}4=5`mBP9cL2mY-= zh`u!G1ET)cz_P@5(ErvT((=Ug|E0;u5nbf}(q!d{51#+h7(4y#Mc>V9w2ix8V4lV-M?mo#X&K+ SUz3rMla&SV^J|;v0R9KDe3;t+ literal 0 HcmV?d00001 diff --git a/simulations/figures_sim/figure_toe_corr0.1_MSE.pdf b/simulations/figures_sim/figure_toe_corr0.1_MSE.pdf new file mode 100644 index 0000000000000000000000000000000000000000..a84defe8429da1336b7b786b0e1722a17d9f1538 GIT binary patch literal 5992 zcmZ{oc|4Tu_s8u;W#3bV5Q;Iw*p(2n8~bh=gUOh|%w)^HW-CN0`z}ec6A>beeb26} zq3m1ro#}aczR&l0e!u(mx?lI}I`=u(IoG-Vd7qDPp> zqo4o{515-X5{?Dv<8f|y95Kwm1LJ^)BRoidCB>!1K}6fHTo{r`gznlkIt1E*R0a62 zY5+iEZ#M)0s0zcuP#7lw&;aIyzyc(R4p6{<17!XcK=LDbdmzxbKiz?<7&MN!!~$f0 zg#)1oEC%lZC+;WpkNrpvzuTdMKs(`_0bmJ;Bmk(6MB#`h0IH*i%~3}tC zA7a)&JwzhnneC3$pjXCSgvKxL?Qc|Ljvvs9tNmDB9tg1Jp0a&)eQas!LBvdef6q0Z zyUag?Ilo`LHnhS~z%p0>oSwH+I`-V(P-6MAp!a(8>*kR(IszJF+BqD1q#LrQF+HuHF!(Pz0@z@f(58%aj#y?4%|Ahyktbi*_9^d zC^3m-hm4BX+qqHlH<>MrM)QCz(C^3t0&7Hgn&($1)>v!#+?^wYvUwyfUy0Cx%7vAo zQ+s(5j+N!Ej!7HGi72JE6z1`yYeMogq$TDIzV2du%-eI;WLf7@23ka45;Pgc{M8v` zL#I7`)vRx;Kj5JaRSl7%N2=0?1bkw^T34!*jUsX9pJ zAi#?Os&^l8BNW54Lqc&;MNnF)K1YMJ&jEnv$(2`Lh|YO^r84b02`ml^oV}C98CYq+ zXkWt0W^ttr>AH%v1=hqbRvlJA6S=?9cWZ_5qEk;u@av|X0($b>?6{=+>*@q2O`t<{ z+XyRzaIoGTN@VR?Og`Zqb+&!~*yZr#)6zxJ9GAYASk)+NnZLN@&gQVcC99{uO5rhf z4Kj2lvv~I61HUx>jx@<4?YLQ!I;z6(xP_fuakm)6l2!mOu2RA|hmfhz^;5Y|%*Cv4 zINqVb>r2-OSzTCQAUcavx!QoSk9gHM;#Kz%uNrs8n{rCjh?@9PPH7q5sD?`Q5wDu~ zLi&aSC8`i*2u(&qRpv{U>{j8A$h6?2ugAc-RE$?&`^A-Spv} zNI4`d0xY#I`ecUR87i*b&Lr;~F2qH!c6DDsyE@bxyYwq$RB~7uQQ34BN|}$Ref^VLH2|2I zp<;h(&DI`q3!bB%mBetjwEQ<+w<8w6gex8IUancw8yhc}>MGYTLJb8zu|vf>H|vz2 zSgi|SDf-T9MfE@*pky_XQ?gxwIF9_0oDw>&OaIv5sYWef zA!U{OE#Wgb#hTm?n=z_x`0duHOtxRPy#7b^3SHwRTqs+)CNKNii!PGqYIg zB=S#>pWS;2Ff((1)|=FeKdj#OE-{MMuX~-8T!c?IEve8VW^&HEc_*y^vId`*H-2V{ z+Nw2W(vH-ZsbM55sIftQc8_q~5u3 zxk@QSJJko37m;8VB%XmAQuD@NPa2?%Kimeb1FPiD;hwi=a zf){p{h0}8uIKQd>IeFsk-nIAm%g)JS*KQjO)y<}m;OY;k*CyaKbsL!lFnV?`Da&)- z4nesydMi#V&Pry^GtKaQ<<9P3kkosjk3SRb>S8om(m2P6qP&p8ieN z-1-|Oh7Mct&5ODF3ZmIz+WUv2SHR2D6TL5 zzO?PK*L67eDkJ3CDRgOQTZT^jcRSk*-i?>nUR85=>em84MN0SiWmp=OfV=4x8h!VU z50@SspWj=hl1NedIAhDRp*LM#KC0cz zpa2^plC{Ec@=yz-k*h*$+TLf`;aKqA-? zGa$ThHgrIBBI^JY6@ltt0Eo27FIocL^ulQv;YeJks7Tt5m=cBYFmi*ze_4Q7sD=sv z^4tBtd_^*m@>v0Isj8~Lum}f$G|9{6H?fgczt4Dsgh*&o5}+F5E)tF)Z3@&QQW)?z zOF@W7`oCC;RMTH9m6q&jY&6au(c2)?V35EV^{CIq8A_pfu0bkRbZOGk?^?dRzhZ3%tH{P3sXEVI}{w^5}y;Dw` zej{~c4^Kj<-|3js2A<6_XPsMWi;RtSvOh(B_A41Bifq=cyj+F-K%L?V#l5i@)DxBi zj)ppVz~Qmz;PsehvY#1`YAyIdWCkfQOIruy)?6GPWR=WP1*`Qxq*O`i_DE>;@LL3f zO%t(OSFP^tJwY(YZG%GnvRTa!c3%g8=H0z4T?}nK-In6a0tJy=Le@s% zv573vbG^N~OVMrJ67({$m*zoZPq-|2<~+z8drvG_y{;JcJ;>k&CZSo8k5#aLXQ3id0s@=U_Xyer8XPDP^qHF>Vq-raJcJ#?tYwhTn zcRM`0m=STnd+G=NB0JNGKw~8E(M`3kd>w#Ja-~%VOCt(HDnC4loU6FBdOf&L9@ZE56RU49ISzr znVgS;OYAQf(%>_hq(Y?KIB`MnSt;35;z3>ZRFmXT3HtOvk*{>!%8a359gJ+y2pmAQ zgXeXa`NQ*{D5+JM40s-$7F1Qyq+nBC%Y+v4JP%*Za$L4r7RGVck)2bm&NOspK4SAZ zbxDFYzuEE?6N`+$yugZ z(mBr!PZ^{YUK=tQ623#X%cQIBl1=FESti3>mFG%}7FRdReAahixqO*vNA`$~CL{|U z1B&Ae(BTncE2k*uDnCCMCl|)`J_eRwX8uBcgl8@4T${(M+bB>KoiC#=voEzmoL|VL zd7N97tev%@UgVWllUYl*%Wh_FEHzwjn5P*xV;I`Dzjl2?9H`%8@IQS$E`v{)C5HB8 zsHTc2Oe`y*PhD2KM%(L#0P}97UaMPnU`@FBEk!j&eICI^K|@VP0cnvS0X|p0^~-7e zQ~V8p#1HBY3?7OWI@2m>p$xv6%Wn-cMa@O2guk+yUKtX`iCPk&Uht!paN_%t}bURr|Mnq5xqtIS%dXzTjadzoMDvk zv9Oac+&J{PKEkMW2tTC0YOyMNPE|6Wx(|xXtH3yiREV%eMWty~Xr*h#cDl2PT*x}# zPr1CZ13rQs;g1wd#7y)}8drserH8LPFCAVi^e+51tTi+-tUfedBst_aG&odUD z*ZA4X^{lk#4XVeXd%5%`?YbJ7<*G}$J@9b4mc;m;LWdntJ`RHaju))ktqZA>^m*@N z=o99%?z6u`dvx`?!1oJB4M#>a@-%!j)HEeD)#tv2Uu|J+u?hbkUK$${dpky&6VIgt zHkG88=#fD~8eLSR-DNBs2kbovtnf~-uH=-f&-hvCav5z~4z9)6p}*~obi zzFl1ML~OL`{oaK2mi0_+@zUL1KeQ9Nz4{~Eb1?l5@9nqEjiWz8LUKYnvIww&{w7d= z*~mAV==XGRSI0C@6$Nj(lDqPYJ0s)G7GLg-9ddBwYd_VF?#l6gzkRUHy%bx!TI*rG zW|N0LTdh{zfQEY7c*gmL98)s*F{EoGwucrJIXz#x(d%S8V#{AjUpk6%+SA$-!L)wt zt#9@1ih41U&pH{qsDzCHZ9FVqlSSds9-7-;LZ% z>Kns17=j7GH=C9C+%)Yw_8!)6pIbV!2L3MoO|>U#x3Yb5*m791pXJ!Kd$m7m*MyhcHhXUyH5kd#if@N6 z8CKKFbSKTz$JZwTA`%NN?Lbyr_&Xm%%?-+w~U+EjnAYP92Jb@ zHR_$w{g|;Qq9oLyMEN*A#obtwDWCQjTq(H?jwtUgk1EgYN`1U;EiFjL3_+-lN58Ib zlN#?G3T#z-Z3}+7kZhE=EhHnqubJ+VE`hPH9pBRJy1eDL{nj?fve~BJD%0v!l|3$R zsq@IB?|ELakJ(zOxTR9#dki6{GPDxu5+Gb5eieAHR@~7>Ki;(eX?EGJ|C&`aThz@q z8R;5S;m61c;W617BsK@!0%$F zvi5PZ`hu{TcrTFm1?Vx`4@&VMB+lG2Y5M<9qj6+@J`73bo&?B6wa&3FY2PQ6DJV+yJtU!;f-h`1Q= z>|lMjgI94CeohBAuBR$cbr{#u|1_amR)-GP-_Nu6E&nsB)?b_Vu9aJ*K zT7UK$r+s%nnzcPZDs$~C9C5Y|Hec#KxfNlX{4*C$9rMc5T%b{i;EAXMD%fmrrOVu#k2+2oG;1hLuV;5# zALuxVpIb8=#Y}6~@HKp>KU_9FDp{(=qI)MTupEBXpV9{!qK=>LpZAygUS_ijP`b9N zB>&aEIYa?IS$6q4;^&V4n`OR3SX*e1+V-W78tp=Umx0%954=upjU+xPXuE#pr}c67 zr*Y4>UMFA)HU-EJ>z$Lq(r0#sZ^wQPY#=sqV>{o?xJn&uAHOjSz|M-Tx&EwA@nn&# z-7MR@ay`X=`H*wx+eSf*euh8ge(3h`zffE5FASyoQ#ibdCTes@G*LMuVe5ZaW=Ql6 zG#2^WKnGMqIyxeVY9UDuv;s&$fUZb19t)6@2D;-hI0Opeh@%5ZNdX-&M1d2FMFN0M z9Ym(M-;*f0K_3t4n&hH4DNwJ1Awo=7D!b!SFZ$5aWbFBV35tV83?8lE~fW zZ_4Q}*8dISe@LglCIO%k{xxV4|K(dI0FZY#?dk9Q407uoQ?m`~1TO zAx8bvCJiDg!vFA-mLd)%|7()~|JzRjEcdTih@{lNazG$*f2#%O0Yjn?9z;1D05n4S vAc*G$0B@lkF~sSN)DIvOgTVnvGWD*Dqs2`DT^4^BV=rSw#xU?>=@0EIvlAxcoFGyr6V_56SLY)}L= z?UWVp0uJtb8HK((g00O021R#uLAm4 zH9(L}pf3^#(uEV?XskC7bP?{2!~^AN0an1j4=DZD0eT!g8i&LX{tO4{Vlf2TFCM7; z^Ek)~iN_Lg2-Q}+Pfk}`?#hSn#O4L+W^ZKTj|Tf^&CA~xG_j#$KfZ5l ztiB2ro9t?trW~+x7vz)TDCQHNs#>Vt8(S{#{DqaCTxSj|fI)57g9h&J?T%=QMKi{8 zhb~0$8x!9I6wNfVY=5TT)5ktkoI4l}(6n)%+7qLDgWiBppTD#D|?<}M`13*ojY3$|&er=Ad z7Rie$SA?c;E=AX>nD@HA>pR}W$b?{(5=yq1C>P1ROFHWAENH~vI@MGA?u&-Vu{L1t z9RE(F_z^*&Sza>pbnp|fP7p?92-qZ&uA@cvTf%dks5sl4v4MjQz2<-jS%ruZCf z@L=!Pc2q8B6F0}&f>Zuc*KXetPjaTh@rHPzs6kmf_k3ypjB~w|qIv$xST~&>KIxBx z2XM|eb-}Nh>MOe@+pj1`YP_?9M8Y-hXDM-?ShI04sWb{&^&RJYEFm<&==PZ<&S+k;T+Sz%gI;yv_Bs^D$ zBBTCkKw&*8NG(iJsom z6Pul9C$E58mzRkHIqqEkV=Nww39|nEkMDOsN+*}Cb84^^sm&>ds+ z#%J9`lL1Mj((`DEv70aWW|J_VRqDCJ_Q2yg)_$oZW1*uRTxfFgJYLZK z<5-W>Y%vbfSG}9OTb#jL=Yg-4EFgBAn7rEkNuqhy7$9F0u2JTL+0Q)WVf!V5SdKLh zVgAymn3;RNt~U6_H*!oQR}N9)So{^mjlzM=&O_jje&fp5q)5)T4Zx>Of^W|-4&BQB zCXqY==+Vgk&2c=+a8P&XZ4gtULlt|VuKjQ`s0PoRMSFZZE_6F?wy5h=SSv0|Kt_@| z2HAhSI#&^pRb$YK>sOAOeW>N3QXwE?oh+7xPiF2Zg?Ol3<(09{F_4*u@yVoj(jqJ$ zKNLSHeIyH?3b9@i@v1fy;cJXI7Pn_fUvFkd&{l!!hnbxReO&hBWG%g<#@%9Z20Tti zzd>;>F$P{e3tm`ITLQ=+h-7cS=)OWr?~wJuq8uu6 z#r>=KR!@M;Rh9IZ!%ByQKD0lH$$UuOf4Ku8)g-}|GxoG)mcXRzmkzX+k_#kSvXp+j zx3G3gOiYR)j#xZKccLBg49R$DIGI5?kz%m*{hg zaP0u*Yw~Tc?daj#m`4|;u@N2jf#UZ5>eBBo~4TE8?f z9<9ZevHZYLBiTQF+K%dzXndsl%KNJ1OJnAy2;`DIUDvSuThAOmfv0SDUgCRL?uT7b z9B&Yd8iLg|tFO7WnfXWU8nYN*Yf3Ysa$FNjzqcP6%W=@A zYTNa@G^K+bDl#r=v@E`y&v+r&uZKHDex#;Eyrd&dI*DcE=7zB_8c-rPZt~^IuKQk) zi6whU^errl!~ z;yJ4G?xC9^6GfEIg?Fi?s`X#-XJ7ADX9`;zku4tWXBgu`FNd^gb}^MZzngdLX%KWC zn1BDKVcM0pFgIDdyqmw-;Ssm{_B5-SZE_mxhV*;(Ljvob50?Gv`c)@QVVaEHefH-q zoNgx{q$-{p$-Hx`Sa$US)lXhJ!?V3^@1+De66{JDwR}5ZWn}J9u}HluDvY-pnpZS6 z7pz!ZI-yB94J+I`sTO3*Wc)_8r9vjJ3wwr9RCt;?x3)s<`GD~s%5y=#7;|1NZ`CX| zuqAOkyjBs-e#({dM&T}bRc_pE!g=E0`bkxe&}x=)wMe!1cYYsiDCv-GyhyD3^x5P7 zu~4hXqpJf=!6AX$^Q+UjO6njq_@-6<&F{nH>rMCdOBp}7$5q@a*hi?1M>OgkX=dD@fFLuZCkn2E4FEcU zX?yZ2FrYjP?D7wcqGQl6?4i*b!Wu~cI)P}sNXvi>Ah-ZP1~h~Ms;h$xpg;)ylAjO; z(hne9uqM!PQC*#W9W5mqi?jBHBYr9%ywwFApyIFazp;%j(epWhjC6H%;CQ4b5Jr!3 z`2~XXzh7@WPbV)7Jqbt;c@2d?(k}&>)8G#D3(*v5Px@boMz85FM9a(ax3M1OkEJv# zHD65QOvvcHdfAH6@L029s@z!!8>jKhTMVKwJsV#=%ha;ppi-a0OLSAKMH8YASynF{ z7StQ`^W_!FGV**RIMEciM#`BG-VVK5&`kO0y%sY3jN#UPBy*doJzMzEB75G+`Hr~c zL~nQ2Lr2#cn9vNLd~0fS_;(B#vl)X&lF->aI|9wm*nzv$vjbX5tqea3G8!F3Aq*Gq zB+Y-_8FdyEc&)5qmn&Xx@%m1kf*BcXOcr&BfZC?xzsfiTZ)GDnR5qYd>ViFZ@)UA? zW=wKAS%teLDb-z2VE(tAMrex!B9dSfquq&}sTK@2hcQT{jmgd7tv%7Qh%_l^gzR)6 z!zaVnZtMLZ`?nOH9*z$3TSqzWGv#rD63*5!$>}_alN5^Cd}7C2FuPK+*c4(e4N80NB{leT>=%QY%&RZvfO=hc>7X!bFN$7RUc z(Y;t76d!}j(xHpb4`NB~Aclk|EkyPZzthixU9H-uWW3Kk7#njoIaF{}8nm#sSHK>o z>lRG0YWcV}3lG>xS56~9bX}D&UO{Dg?cL-l-`%5g1+hEAtlx>J`MLJbw8Vij^!0km zOo66ZwNBkUam?8|G1@x?cXv2meJ>qt%!+@%!_}K*&v;Mdgm&m@2C1`LK(_0i=X%#d zj&xpN+9f6SW#7r8QX;;G*fp4b@8&-fmV&sT2W{ZCBro6HcVtumGU#hFEouubF!8)R zT=$Zzfq~-_6XSWQxWj(#kWUf3w+`t61$e`23y)_+JaU)3&q6HZQiz249w*#Dd{R(m zmAld7et7JV6_`CgTzVbwR+}>_x|@^FDwY7$?LPS=+WwZ%3=^|1*Ts_=zlrPW7&7u{ zFBMwdKUo>GSmd?fv>-(|@r>b^ZhfKUW$rz`AXYIjTUo2)V=gpvjk|^NZz)j%t*_Ui z%EEFH^)EAhnSwc2qby$C{={Vu(7I9170$_}TAT>x;%_t1Newu|#wGIL7I!HlO8fn- z)1|_V35KcV-A=qL`udQIrWr@x2=hfx6=xOM7Qsp?Em<$--PatvG$?fi@QusN;A%0c zkG#M@kWm%POO!LPE6nLVwNSIbwW++v#}ZkDNP?ss4>LU}!B@jrBUmFekfIVT*qH<` ztG0irI(%{|;aCUmu?HGb2e{68o%=eoT1rTy*c8FHPT9>_-8}AG`=w8gzLLInzB~;-a-Z^pF9dd=W4!r5F>{l)MW|Q;#N>N^Avo1AitCamxm)V8F z8r}I)G9m`>Dm|5a-*XdEMo=Uk5XGN;dlvajKBzOuGAKG|C1`t-ZBORl%)zO><~?f` zRTdEzW|l`R^~b)%$h_ixQ?2!aJP88ID+RC$o$x0Z-ma952KP3mRes>&+ z7x4yaCjZeVX!IzoM#%*703rm9C7pW9JolUwE8EL&&aacmk|<=#J&>OL3XM#0?3ay{ zJtF&DrochazQf6SBwYGW$ViWh>Zu2vSr`Zb#A?P{^~r@_+b7T zB?RM*>8k&L@E^#(BJA;^wdLLS$jFk&?jjPrzwae&Tp0eslGq7A_;}^{>!<~)Ji4Yj zw>do8>aZLkpAXuV#2Gseo_#XseGB$bIH zgd_h#dRJ6=g?Hurd5X8|u&Zbld(}I%_m=UNG`9T%<$3${-q=S#L>66g73110MaZZU_S3p-rmm%Vjhh3*@!ay8PJFyEfT{4|BRW7h6GuG&<-l|!oJh>-2 ztsj^uCo^oH+p@F6-65VUeu29$9uhAbzot@@%R=7l55HGyQr>`Gm0RV>XT`E&)7IXA z<}J=NN@PlE7+*6R&sWc$%C}1WYV(rc=16||Uit977V{%!9}2dlH6)rfm~N-u@v|}H zDr2KUYvnhfu{CdN5^73&a&NCV!^8pHib&nj#3#=?6h{SR^PrACw+P^)E?X2K=` z;sPd*OwJikVCOI`JDDWAOt+BtX-|=l-xi@Mwr_1GhnGH#)t{2GlcRuyKb(HjjAun$ zc%5=v?e=ohMYx@1ed1%2Cnk=9&Z92Ki?y|jAw=VEhRJqj*B^PUl)ZoVJn(td@|TeT z+wx0xj@y_j_cc<`i#;++NlZe>oe&l3X_$f1Rv2mTS))-&#naEPLMKB%--u%hA*GN= zvUg>Xk9;4L62H2)wf0N|gbjS`L_ffm*WW(P7<(r6bXd;L%C}eNW3S(Qoboipd&k9x zwYH>`XVH0FWhk>>d?jV+wC0I`r}bU;%BQdQtZfSqXxQSNX9Gsr+Tx3O3e4vUay2uF zi=RKw3?Q0Kg4S~5HSmu>P1tpG@94&SFeUHv_Oe#s__zJ)BV>UTS5KGaXEVMP_?MxD z)2visRhCmMYOyC{pMlg|Rt58wf~OLwnFDssRr$~PeOLOs_fsdAEZ0h$KkMbthooXgEE)yhH2U4`=GznNj~20sBxepPJ%#=gs|rsvNib zFGha!uOin7Bbx_yf>mCwx0@`(@SkLte11H?<@49$?FW9#34b|}nw3?B7M0D$yRUS3F=2}ySuoq!68 zARiQlhzF{`Kz>9l0f|O>5daVc1&}9}=9}X2C?Loi2fs#RTsVSAM_mL8hamcRp^*VV z5CMhuq)9$-1P+S-Jgein(Kkv|#@ z|A&5=i1CKwh(2gIkpKi?y|EbNRa!Rq&ztdda(DTMA^Vf{e}VWPj_l7#0Ax+{ApA6F z=^|~!Fo*llN}^2%Kl}1Wj3E+z4M{*D-~iCCz5wYR{ilH&fJ1r#z(5ED0RHO(!W0$d z6@gyBzceV#rlx;D%wHM=Mw^5FQ-dmkX@ktaHD%g7^e+vjLM!86nvy)teEv@j42Ap; zP36BdMFr@8adCYM1Hk_Q{wvIb literal 0 HcmV?d00001 diff --git a/simulations/figures_sim/figure_toe_corr0.1_num_select.pdf b/simulations/figures_sim/figure_toe_corr0.1_num_select.pdf new file mode 100644 index 0000000000000000000000000000000000000000..ad85a0ab59c415378b9e3dab9e393012261ec817 GIT binary patch literal 6029 zcmZ{oc_7s5_s1<+LY5Gs3?Z_N8Dl46EZNt{mN5onnPHZ!V~Ols%98BFSVBU!$i8G> zQcBh?vV;(!`ptB2_j|whet)0;p7-aR=bY#K^*V216R5T%ND9Ir9JUy?6gCnzVTWM= z0i*$FCwB%F6$YRt1_8q%(I_YkhX9B|mB7+qX=w-;1d;{GgTZ19Ktr_i|NGAZiSs07 znE`Y#FmE>`91AeUI}nk~E02xw%8Q?z&^8ZR8$C0Bk2o&zmaG)j{g(DrY0EM6F zKr;jujmN-A_d)(~A35OHI1CUdSDYIFEUhRF0BR#WaikXjwLMA0fg<2&X9T%#ERHlY zF9yG?ZX10xuRLq(y4A**V#@E^Evh}b45ti7{afrpH_OI~!CaL9wV0Dd7+Q-rxTw5_Wf1gFBNv zB~Ds2>$D=J^u49%7@Q zOt=b+e~*-miqyhaCXq<>x88GsSV%zwN}7)ZSMqe5Ky zvHI`4x4WS8VDG?(X%{G=ChW>7=;;O3#@vBX&mJjd3hC96%PMwyAmlMM8&(%$Uv_112Up_TK2s zm?hI0gA*PF_CU&E3D70iH0vZ8tn=z1AB|Ft5sz|>5sfk>sC|_R?bEk2;&ilkSAbbD zT!)(Rq*%apHHtfd$)|zqT04`XFGYmN@6$}Y5$;Z+ZZox%bRS>2V3((N?1~ zb@V=ERK9n+o=J|4oDlM~=DPTw=&2*F7FWGCw3Q}QsL@}igbjD#h*8CoAmPIlbqDnH zA}C6H*Yq(`kW~SwfoP?An|a1I19y#xR@onKo?flY7O;fBwC!F$(&ZPB1#Nd+#l$B)RJd5RaVaEnvTIoHSO}!)p4R7n z+?6aKi+!?q^<#>F?79WO^3v5eW_d(`PUVDte!aUnky(_x+zg^b0ataPyA?NS0FT@w zsHLOS-OX~S(=Q=-8!N{$pLR4Yj7~uXBz=~q?iRTsj*VRw8n9*pDCoq>npC+Vk@6%GroQ%QcR=f!$Ry#lf6;crz97Kx43N+ z&WFF*>AlM4F$rYiBco|!$>#aDR?+UjrAolJlK;QeTd`|Xq?B!XJQn7OPpjH})p zsui$u%v5H)0BhsL14qV<-m89d**S7D$xUifiIUr~JyrN=v3R{VZEKr5a@efiV8Oj% zue(h7c%L}@(&~M8dUs~reI7YvVlCIZf!bcfp|99)r*8LUzBL7i8)x@4UH^T;!3#KX z@s{k$$bM=^cEK^-b<3}7kSW7NNZ>sj|3vHN>xXKut5*LZzFW&MaR7FxfnZp7^`aeZ$7ZFSDJ1w zvFOnFcuu7Ye4;8ee8`0Ol*au@3=6O2b_zTcUNTmkFJXkR@ ziM{@cdodx;V1*zsOZO5tdv4K-bg<87@5xe9G8>L<9QRwq?K)Mi_Sg@_HGW==-98H% zDRPg!ZrS)*Pj!MfDRfd`z}O{e~= z;>*1#HbbNluv7Gi!n+`5vPlC%%vc*OZ6%({FI{dcjb*TuF~GC%;b%nJ1gBDq*^ZTj zz63_w*l3@uvugA6YM(46X#h6`zkAWoQ5nb88RYbjT$!S%J6Pn-Dn71KuaEf9!ZK$S zBDK}LZ+NhS+22GpW+?4a#25^+7$^nM{pQwtPO zSIC^(9Or8s)vTjd*l{$+HhXHV(xa-xxTNFoLRWuw937LodW3*!fAd!QyBAZho8`b; zUFX+=QdY+JL;Vd^nG%H4Xs>Ws=o){g;ePG7(tF{-t{*+MJ`fy4o1T-po-@JJrbqXY z?oIXX(Y>{*?Se>A6;=;?w16`3{A!KBw}Qw~qo;IQ&aP^#bKLGBP?wFDI%Oi0VPBjh za%*?hp5!B0Rl>2 zwjg&oEm-OJ+voNDfYf$ELSHN4Y%M=kR{&L4C->keZtRfpsAQnKoS6ezeRA8k`CGm6 zt+_eimXz2TQO$$(xYYS&RBpgfJ``M0DBS% zq46Z50Re!92xlZr1MLT}l_vd@QIrG7$VuD(4T{K6^9y1~>;*SR-~hHj68(`XApCIl z3_xuX5CK$FfZAXHh50aed&A&A6(H73M*|@HEBrqY zMwZC+Y=PG`H8o&Zgfl>n9A*Ct>&T~HZ@fn4C=|H}5Q?~sgd@n80*y$h2K)tFvZN>d zFW@5g^cQetr}~FOKDoYeu@V=>Eq48n|9r~f@kiz|JG3E9RESEM{di=d)F<(R1-zg zNjOc1f%WN7rhIFTg_Z8;gg946I!dN(3TjV^dGDGUjdO?ER2fu3Z{j^O*bli{nwSA! zkFQLq#kW)Z$W3XyDF~u4c@V$y`Ec5fhpS&f)hbK4-njq4Gl=1^wBE4b%{$;5_pzTP zY=gdJAXpT4!4WDv1K8n3#P)}o%S#E0XItZw9eKD`=nosgts?Mn-1SKH9`uK5o**MR z3ekHrQp;F#XHQA^JyGx-$t8b^dENe7+v7m%!4dWWmhRy}8>zEG#AqH7JM+kd`|NQG zBO`_@aovN`%<>7B7C~<^cy977U?^NhPHuAed+|IKRDPqNs37en>D4Ma8Df8udGFwM znnOg$CmtyOVdodC;EXdAPl^$B(??NWNKOj-bxM=wZ&5>zK#JI>t$1dF&&8%72eYn4 z30Lv*nHf8M%3KdI;Of>q8&#|2dwMGL|w4ejU1^|P!I@><>XqpU-NcF?qhlebk-ycmkrp3HHWE)Mh zrYaIRuO57nLi7q7;B=s~_~;gau}6pc>rmWS#)ItRkvrcBRt*N<`_2i4B*Jx|;D)oN z!y6AzY^Wdr3N3Z&HFe%qYWB8M&)V1;C|KsHsji7epYm}8&EMfjqJ#ptI6~|4xKr*_ zI9@KH#pkg>!sWcVabfUzhytBd*ns1y8A>y0=A2NmZH7U0)`+`(tej?1IDlp!-_yI+ zNxUDZX*AhP_)_SFH8pgpIMvtl%u4vmBG>X=R&7^Bap#*T&S=)>nYx`l;tZg>Bz?NL z-R23KCryo`u>yT!1Xp|iHdujQ>P~%IsyB5I>!%3g&h&XUYX-G2B3mdcn^HlXG~2lj zZH;6nHZ!nzU1e;yI7ExeH8s$Vn_@zah_cMiC zb}B~E;$4>WHr|)Lt-RSAc%Gk~W!;Kr>E7KQ*g+g>2eAaxt0m?Nh_c6@u8h#txB`>R zzc;F_px>bHcTMQ*ezZ}ScR^@Fr1f1%SkYrqS5de{ zM42(dym1mgsl9e{P2r5DOfk)<8M3Gr?G|1u#u*!%tyim;qnGf~hg0lAKJOUy>c>6s z5$p(mq--f^X>8fLCh|(|m3UdztK|~^lATw2lW$*XPtKOgOcEw1ChJRmOXnukkq?j& z9v|E{#uUnTaLitb1AL#d?kPsC%uGed4nZzKtlU0L@Qr3ojZb}^csX7+u2i^hky*K! zpIz3Xc^vWO5wm5lp-x_n=E|dCcqBvT{p8^i=RHs{P8R6y78g&=X)9a5rEx z;9&3ck;FHlZx@bQj?8J5Xa#6#Xe(&z&+J4>baHgsM}CW}N{CNzikIWY^QeMv$S_L} z%cEplJv8KesL%$0|}eC75C0p*J7t$zpioyc+LcY4v@`ucl#cwu;7{t#?@tPM0)J+(s{ z*TVq!a>@49Q1(}>xUICjH#OaUb0g@@S1zt%{fGK-1BL!QyNA2yR}vc68Zmb3_C+YB zdT4zM%FNf^H!(2$n3{#alB09KH-cE|TDEd+#MNQSL9mLs>b0lq7rifH=&pAo&0T?` zQH$)qn{Q(0tVZOg>tFf49GOMmof8YG4N3YT_k)+xhH@r!IkZ&0w=Fe{aP3hZ&9zt8 zSndqn(P~!}@YZ$g`;yeWduD}k#rN)=(a_P&{DY48&a}G({>0NPj8&&YxMA$3tYa@i zn;iS^q|sCfwg?UgZb37k*9!s)ISbhfG7E3@`t_#t>cT6Wta=<`C!*QA@V)S*!lleb zBG-|`Ory6-`_+7fg(JZwE&n(vi7D%>*2BZI-NISII%mgXKrxarTZ;Kvw8MMjp+$B2 z#0Jk#QlHp!=+JcNds{DoE5<^NBB_^E^==!^=BQ*W=9ndawrD$N!I(olB2E>x8ZjEa z%l#szD$=4#ou2%_$3mB_`1CQjPG%PzRWn!WPMG1WEJAZS?rC#3WO`&W zvEf@@K;C3x_b9cKb2gJliMF9C1Y}FOMuo z%Zkbatk$cfY*br&&_iK$5p_t95YbvG31Cp8l#9J_@{O^F1=ah(>$Y*6v0B~oat)p( z@1oy|zENmEekv|A|z z{RL4gsSzOmyNgd-uyk;p{={_U^o{2xFe}sgxF`Bg^=)|UrtJ|Xb#-e5yxzWUf|X%l zh0A8~+t`H!UN0=I z{n#125d1MLnwl__I5Z^rP!dt$UH%CF*|DR2V9qaO;(d>2Iht6Xevv9lDC%NJ=Hcdk z=e4N7-<~Aa5?l}Mz3A!+AF;35%__c19T(nAT)%krykBj7ZxL}RaA50ze?s*J*6w$| z>C+uC1?;&-%eh%sQ}JsbKYo~ix9A6KWyPpsD}c|@+n%G-yDLE>*&h!!)cj}nPpTP* zxe^_m?Khe}c$Z?^g7cQ>j`@{nFVHGS@kKQOmF++ADx_jxJPOk{zGEmLo(C_5>)cp)%x0?75yW_zR)4nhK zPQcQf%Cg_>_D&|MGH;ccWv2INr;}6X6E{;*g%sB*_Z~$DmOFpc4i`4kTs5;Bb;l$pCall1gEbSO8E8 zg~mA}TmV4K&nDp{^7r(F{Y`hnqg-Jayq6~oj{^YFu4oj(gH#Rn^JXlW-0lBnul{8H zUm*U6zxs0%0Gi{Sa6j!(fSjzXj4Z$f@RtTAna<=7fci@V$&vP;|JJ||S<)i&4^38vv=9A5 zlY@}j_@|~ovXcK>lLmwSho<;1ja1@aHDu*v{?-c)14DWuFeJ|$05nGiAV}{80I#E5 n(4_5*JP)858jS;xz3iW}!Qx;T+|S9#%FBQlgoU+?wHf{oI(DCB literal 0 HcmV?d00001 diff --git a/simulations/figures_sim/figure_toe_corr0.3_FN.pdf b/simulations/figures_sim/figure_toe_corr0.3_FN.pdf new file mode 100644 index 0000000000000000000000000000000000000000..61ddc2abde0e8b028762e0a09d4454fb7adb3050 GIT binary patch literal 5936 zcmZ{ocT|&Ex5g<729#a}A%Jv9NazUCi-7drB!mE=B$z^z-lYkMH0fO#M2b{Fkq**A z5fBTA0wSPv0p%vnIN#iF?tRyKSJrvnea_xz|C8T-1WmMbBq1Of8o`LAhz}8C5t9xW z8VFDdh<5R$QC6k_Yhn;E91@Mvg5eNA5iKRC6jVw|1`2`5Lgb;cqBP*^XxIPun*|c* zP26P$)WyJjJ&TYfYXd2c6pcZkaDRn^HPI*>aft;g z{MrsSLtxQ(44inL%zvFn3i#a)Lj=kl=K+K$D#`=FI!JFE@djWWZ(?(_5OB0Bf>bva zN9>soO+a3+odJ45j-hj_7C4?5A~JkX+Rt$F&S!^s4r_{|r07Dh{{Co24Ufzt45t_#Jloxl;Jc zn^1v8-L6&a=_8}Uj)LsakbS1Gy)W-Z?l&7gKHwTG=ziCqY)Jcb7MB?c9jK)6Peb;G zxOUz2$$=J#2kNSIm6|18HGR%=90y;bMd6umaK{(kxO7=Q!Vz88=#UM4I{y?jNl-#* z-3NcrDQaA{lZ%AvMAq#=TOkgsI{9&~ikty5uC2;KXH0jT0qQ)=fe!EAG6rsQ0Fruo z>m_T4^q7A(dcV5I~w_Hx~>ty`FLq3XVL zuI&7QP`kA+CG@%Zhsi{4CR^VZ{DEKZ@!15o?<<{k(>t%!>fHmhM5JC5sgz1j-pNtN z@akxgt0S@rFBH#TYm1at9w=a&>x?e17|mm22$&dw7$RY;uiR2#`m_V!Ezu}>wFz^6 z-7X5jrz=*HrZ2>K+(u-|qge{pO#_~X)odY6UGNbXA-;^6RphpwZs#o{%)}y^Y?Ct_ ze^P580{wgS1-UC6x`&{u;RrsUv#khKqXbKXhwZAk1KT!L7QQ!u_{L`4E1_^J_XxK| zJdC$Rc*cu%6Q~C$QJqM_8Fb z&~Z8Aab=Y$bWI=vbng=?!{B?IQ{Vh}(~HOgiqeuweYxGpjC(>wG3?8K$N+w3I^UtE z9-<6x1x03t+mys7X1_LIi5M9eE7>gLhwxO{j@Mp4hlW*T?TvrD-!o(Is6TW!kG+6FFC08g=gk#Wf|7TO-KQD@EAa?3DI1vS~nhy|~mGboGOZoA*qJ5`#o-Bg`O zZc0yR+Tg$Y&|~<+xgb{Srs~`5)I$RGei4n)JrpOVCXvIotN9jZm?lOww#xV!LwS1> zOl=DGSq6*SwHVbHRB1czCa7HkxfeB4JYb_5X}GA@enNkSu)RrBrj)+Ta<}6py_(&* zbE#|z_tUF38Aud4{utiB=}Kl8=m^;-cFf)IQ(qJ>Y`Yh^Jd@lfX$uKxAW_j#nH?Tf^)BT zHa||l0M;M@XV znV}-oUKt_K+0u`^;CF{hSUnN`2ag=5wB7F8KOi>-#x0Q&A&SPYggp1CHy#jpJo76h zE$20Ab{b3duTs+XMX|%2G_9t_PWUlRx)4T}0mIxIVq6N_Zf_TlLG6 z%DEZOXOqaW9nI1oMujRP&2q=EtdN{iZHQq=3b*9P*?_?Fx){)9T8>JOr&(b)PCGkb z?et&vdiPeUH-3(1(^_2~4mP&R%3UXW#`S127j4ve%a2Bv$`5n%$-DZj*Qy{C_*C(1 zkE`(GpZ0z~Pkt)MA6sS+0*=eI-;Wd zjF9qayXfuTxDxejWn1*N>_z(}fO^b!886NhAf!5*3fTMhLBP9Z`~48swGI3rHkvYG z&tNyZGkDI6bX7bX$Y<}s+O?kg9Qs?oNBq$Z~ZSSAwkEVQ1F{d{)7>*0n!x< zvh~ShNvMM&B>`(8{E%=2=}@o{ zk*2_ZF%eXjc%}b~iAXj5%|!W`{ubtQY;j{9@*O7W3<(+IULIx?dKWtM(m-Mm0E7PX zR5E@!Eel^Q)3l0nP?7iHrJ8AV{0TASrgiIQIJKs3`m%6kUURMCeD^ePYvler-h)uD z!j7>w?pq-)xs9FJvIP2Y*7IMPRZvur@{#oE z6qyQhJh`8K;FswX9k$7-#e3MjZylO*f$VVw;>p}moDY(f%yFIEr2R+Sh%=Zhp}rGO z7jl!QE!fGdXGy|cyn125!GOHbOBB4ibyP?frg-ZR?Js76#W zhBGiKl_W|rvc1sJNDH_OVC1V#Wh$dUs?DeJl<~GE=%rN-*t1Y+YeP&7GiZl+S!0$; zGK;N>DJjR zDIrk;OE}*qg&PjaM)Bf3mhbI+g?+7knOiuYGQDNkN}})G`8xa!ai|kaA9_wTrI1gA zISKG6T2Dg^CRv<5uA^YkVi2HynQ1THsK>V?yd~D=nzEL%F}Gl+psAkQWjWD^%X~h3 z8^ZbgZ}>ZacL#M`=`qT-hHo`cLWO+qgrAufiP?yq5&6nuB|asB6LT;PsED_gvDme6 z_#?a4rZ_X~F5pPw$K@ZFjyjIasg$VrsLoQ=P&Hrp7Aw)s((M@gBepgSGGv;(o73%$NU;}VBgN+&c&7F z*3YdNhjqtt)cIzu<_?sZzoUQ3t*B#4`Vjg8-MjtKl@Ht>uBeZ>JIy%p*V5I#@^;_X z-xo#qydG=sxiucQ#Qf2G1N+W;On$C;+J9*5Ejs3%Xjo%d>Z#l*7r7nzLinff2WtJ# z??r^Dmld5=pH`=j9EsHKQsMK}a~{}FZQr@DLc8K06FD9}zEOPeBB?twCWJQyKu=o> z2;+b;n=(v13vY8CjLbY+%iqC2%)h0Tqjjw$sFbyox#WK7jsAfCjD9_Mjf-`kQ^I6C za}T~B{-N~4{iRCwBZ-ApU*)c=#R`i@{2#Of6G0L)HhGnG2}V)adlBA@GXv=PVVNrEOb0XS1L! zs648iDep9*z5cpzUsOe?LxnOcE&Ha09%BXI82Utd2O8J#vLT_NY&b7#!$D4vhDjEo zIhR=9-YYXVHWl8ZRqq7N{g7#XcSlHG=|HalQy_(QZk^k{J}kT)vh&O-!mi74!oJA< zag#Hyd}Zj!a{OU=b&&OXEyzx#vkyHI@g({Q(ko1)5hMX74yJC7#%Wd)xg~Xbq3iaE ztO?q^@^UTSRj=dcMP?ORked|`uk#uN2(la07>Mh?Lw`bb9^MsMO<>lh&54f<>J98T9p)SnCQqJx z4#Dg1=_OlVzg6S5Q8E9jJ+Qs@%eUD{t4d32y8~3M^VUevv!hX}(%6KM>=4Cc9yuNP z{jiavw$^K<4;t6HLl;BWBH}4SMp8ybBy%MZHNMql_-*GGUBmAJ!Y1GJc~_$=o3nT* z;x5PWgxx>f*y~o0yLIPrN+Z$CarB{nQd-9R+2O6?^gV*$M#?(R)r$d*&Hd$-A8rkA z9q>-7SYaJL2Fw9o+%91*H2PGScl93r^V-_-B)r2QXe;lw3bqFP6#dnEd~RnYcr1VI z;EQVD+r5)I+EMltCs)TWZOgt7u+Kw_K2RU?Dp6gcx)R47*9N}gxXD={AH0-sd~eda zqqd-(&3A(^aFVvTZu$!SR75GA(uqxtoH}vT$-*;GV^r+U3z-!%pp%7uPs?%Y>$+elgIhDPt z;-?PBFPG>1p9P#irC6`X{&d(qnXJ8kqw3l0DPa?_g`3^|Va-|V=9Kl+Gz|M*a^2^& zJ=>pIx^=5=OI$TOboD#O?zhd#B;&$R%7f^g3c z_;+7`q>ld6F%7^V+-RhL5D1Ob-w#kuR#sXT=mz{-gA#pV(gQ^OtwH37bI||Rpwe>x zii66?5Qm%pij$Qk&KLi!DG*Eh-H#BiNBlQDphDPInB)j=nZ?HHR2KTEovU1W2G=hTK#yT|r1MOx~ AWdHyG literal 0 HcmV?d00001 diff --git a/simulations/figures_sim/figure_toe_corr0.3_FP.pdf b/simulations/figures_sim/figure_toe_corr0.3_FP.pdf new file mode 100644 index 0000000000000000000000000000000000000000..e695dd13ec51ede16bae3b6d38c946772817f668 GIT binary patch literal 6059 zcmZ{oc|6qH|HnnhgzOrmPePU$Gj`dsXC1q28DlVEMrLH+_a%{1k$umVB*qevvSb;1 zcG6|PO6QrmJf~b3;5O_2eqk+Jq03i(pm;_8hLJ9_jN<(E~QoH_xvf+khFDI@x3n7{zJ7olUc7H6qN2Y!2vNE7j4Q(T?`@Vz|8MZ@& z;A#_q^dt+sv!Hs`h{aRtIPhAaKqh*wOlf1QEFyJ0zKcP%KzeiCaqDSv%gIIc{D-%Y zeV`i;xzxduG!=z|i5Kq1<;r562^J!QwOh%Z`LA9kb*8o_wrGPdB0G?RcTb>0N$a-` znTgNN9==G#Kk3$VS`%p2@4cv%WS=gVx)qyp%>?V>4~Eg;>o*tt*F%k55FmZqQJG|3{=*E1qTRQOR0W2CG)-@!6sQDqUlqX# z3kSj?jr3_m3eh_il8mLyY*7puAK|enTw|{S<1|bdht?%JdxzEsT67pVJJK@Yvs%{t zM})=5d&+lSb{IDc@`HzU;!eSq4CyW!a0xRrF$O|d9otpuC_cl3bOf#pm_zO$Rs0;g-c_5@R)2|ey&*t)nvbR2u!wP}ten_3*yuD>>);zG z)yE zh6kKkER_!4OqM(eF{Szn`%I7Coa;`GNf-rj{LD@|@qthAu3JOsv(U8IbK4i-S9uC4 z0jCV!BgMjRLZusp^$|hcn-UtMjxJ56{3e)!gh3XCoyL^lKTZoiS{^#%o)YmCps6a{_vQS;|{6Upl^C}>E{J!hYn{b;2hMSU95#w+Ab7XK5 zCFMMlLmWvBIW_AMTPkcG|AwkF%d6`p%NN zcSvra89{Y`9f1LI_i#P6@5NODC1P*3=yy)XTq>8oo=Pj@oO8~(nx=b684O2V(RU++ z=%^o^P%#taPIoDF4nJqsmKS$uKoLRR4F|I>o}9q)I42sPic~u5n{ZvxOpuoPhQI*S zr-1&e!P2&o>FizntqqGWtaEVoNVP$Agl+Q#OVe=;ItCS;q_t#t_?csg{@k4X4(`z1 z?S86-N{+Ea`p-VYtHD0hwh^f0!B^(Vi;}Y(G}EFTJfvU7>B~Yq?4F|SnN#82H%<_q zSKYpvQc8(=5Vvz0q)k2fzJ-fMvj|jcUPMzH-JHjMjOys?%VBUVJLn>HpQsk`jr8B2 zRkX4p()-n(s->x9`UVZPiJX7VA)HN9=g_P(%<18~X%c*&UJGHrOI=oo8wM&F)N)s9 zC>3JUFX*uA;cQ#;hR;+(qkFFgf&=5Y_@4C}NB2@%S7tR|^^hnC!cs)8Y|s%Rsc*Ew ze0Yc2z~k)-GyKkB5#yu2Wk5WlM1Sa|4gURXeQS{p-N)dEFFvWBj#gj{c)w8T7C0^% z2d5rYpPFRp?!0fD+Dnxiz8d6vR>Gx!qRQLzjFHNWqEcqTC4MZiRPvZgEk#a=6TJ#E zx{Hp@MMN1THl#*@-XlF$Mc8=D%ultXxYhbn9HX&D@9k2zm z?Tk#{>7i8?*x?Tdm~I*yS6P3Mz{FFx&&PjWbyP_wchiRXHiJpYkxArCIGdM`u-dkW z@*<)@$?W>Pbe&{Ezh0V%iGP0A5NA%eyW(J zoL%gOt2v0+z3GRo8SpDhBRGp@`rPz$AuaO1GanlmSh!ip^SI~T{w8vliWmBa&AeCh z04q`SM$3G)o>}04^c~;Sk^w(r>~5?`CLz%`fwX8}U=A{z;w`k;x6R;>xG|42czEQW zN%TH7)Vc>!u86w1am|vjsZc%OH}<}3NO#^`w8BI*le7Hp0xsf9VM19T1}=mAus+jTcXQ?(+8xw+gB=3> z&U5}|%05CG^WikVPeANAm)21Lt5)`e<`FJc3){o@qnger>~PA5v2?|+TCWF;M& zT9q(madhuz(|F@+zn?_bu;D#A-3_fLO|>esQ~N7vw}-THZ=1ZGy5xE@*I{8u@0GSJ z#Gi$U1pzXDu|}N8P^p+cr;C~{s~$RVCDMj?bM$@YPb{oeYhAX=I;xTsZ)v%!C9$+| zmL{nN_J|AFH;%la#?Wj{yQsZzYyEqw$n!mO_I^ygqr6&51Sd0QNh;VtQz&)Pm{)$3 z$tbB(vx7F8GpUpd@cT`~ctx!>$9udIHx?+d19%1{Eb+8l~& z5?XE~zqnj%bkg;n61kobl5}>FE(SiX`@+H533!>?Z*EYqI(NIy5d>tvJ zJJ!q86M_7tKyW77YJl|b@c$qhSt94Nfm~BpS3}@XPJj$K%I-JxkypQayh^4l3^@rz z19cmXM3FCr7?MB^@*BsbNiF?fI7Y7NZyd`^^D#3W}?Ey2sgA&j{=viVUhGwov@czF&8p4@v=llsLb+H)adw?37cod?G+F z>U>lqWzZ|3+sk)79A=S<+q`TO`28{JjQkcXQW4yR>zzZbf1bSb>5e>0Q(}q(m~;Nr zULCAS5E+5L7OmQb{agtSG?bwbx;H8Q6=&+?E{41(1Pd4Y>ui1=;1_&X zM&;z?Bs|1CnuLZz?2a<-?cPqaj|^D_YnO z)8hc4h=0-K%@}lxw?5F`1v+g|&lh#t`)zfkcz0skJW%->p=+ zdw8h2y)4GrzewY4NAH~HKKc?u) zs(ab#duLjI6pYoS#f|SV_oZ1;7GB^|4d$f~5@81D0-Qwq)`CvAX;ba@B=kRilzB)D z{}E(atN){egFhq*sjUI4WijskmVRVSDFskys!}bfaxYM^HlM6%X0D|;GfPEzRVeo4 zEeGgqI9u`w4SbkIm}WKGM;DgVaQo2Ia=|sE{BtoCrl(5vqFW} zLEWlMkx?B?>?SdIK)r+KMU+)C_h%|?YhB|J}~mvWsKY!-y@ zT=f(T>VzC)SC#{If7*)@bVV)J&zaq+s~n8vP9;Thwsfw;TVZ%nFsR@Pa z-#`8SJbTn!URth2u1x+@V_JA-iSm&7kkC!g4zq!lTV79p?*aw>vI00WL0ro+C!_D& zLe&EEw%h?bO++p-5t?*1M4v~Hy^695T*W<@Bp(HCOGFe^TK%Cg!m}LD@XqVGqdT+) z6u=a~5(Pd z{4&B}{1-eftX#_Eo8oH(QaiPr&Uh(a*Pm9y2xecHx%ApNN5o3xq|iE>h3JqFUc}be zwzC|TNj$;t1czmYMW0p-e=YGV*%;Ox8Xwjg znl6GM=sEWHVJ&UI6NZRm*+>*FxwP)ndm;MQjuOnuzyj!Lo~5Q`8yE!J>3`#RX_osCD;65+tr z1DlDNat&&ac4T!mbsa=*m6bmh`%u&NecX1_cBZau{x&fPVueBILY z;YUP7endxZ4`QId8QNbtvO$y3210r`XZomJ@slsVt?+ewWUS@-x4_YTPR=5|biIVG ze80A>y)CZ!J9SHSUbf42g&2B*2B8sS;$!EN6cBMpbtdRcmUe1;WO1p>)A_4J7yA)= zz6!>Q5AH7Cb-xQ^-%b!4-Ujr=%&~qkUBS&*5@p8-!#?kc)7YpP;gFXh$vaB)T)FE9gSbB3O-?`d^3EJ9LJpQCILa@^$g8X*|}rmgk?(p3j<>k$&e3vTNwcmi!@4oEa64NJE<|^Q0QBY7xu99Pidy9TY|C*yE<83SrS->y0J}zu1lLi zTd(cItXu5*ZE|d$*Erw{=ieWg_dP8v^S4~C5VuxpYQy$~RYz8%-9m(3ieH8V)`>gY z8KqeCr{`7f1TWhpu*Yk@la;A;FPVrP7aEnTMXwe;H8`*5E5NB&t|zKHgZ+wW+I!Gr z`QS#-_`R2?=iRyPM2l{Vk0Z+ylZ10Zmf}Rn`3c?^jW}AQc4yMVD-XZDf+H-A2?@{j zUg%kaZO80T@apQNAaC6rojaBW0p-psMdKeD{2D60ZHx|D6q{RG?_w$()_VM3AN11X zN5=;}3X(tMmC=&@9@2AAUw19P^yOk}@WXfG`O6wtM{dwx*K0%!ZhcZ}{$Tpnw-;n(aZ$`8Dk78gGcA{+Jm*Pg^F;mRSe zuqCGsXKy!}fN(@g-J>-hr zDmY6va4!Dv!JuVhMOFic=gL6GQOd_<;}6(ro!SeHoeld776;|?1RRDqc^$_YMEIOF z&=`N1zRMjfbzEt;1SlylDJiTwv_xD%PF7x0LH*ngezkC6AMq}-S7Ynqgm$}N&?Sh9 z{hsg9wUN}v#qU%^f7%{)e;)IB?Rx~1V80^$!*=^$z48f6Dl?M7}L{tLC`|He?zU*4l8 zhGg@hF(mVmjIIA!S)wslF*x*Z0R+)NJ3FIDh9lWgv;m}~As%RqHx7`Of!y-O;!*A> zXFLchB?WQ9k~~rz4h=wDyb!lZjEg{elTjCm_Ck7lIJ={K0SF%L?nIJ25J)d927owv zp~!)xlL#b|O98Ng{uDcf>z*S8t39!pqyk9pQ}! zAXpbH2IWS|hWK?ej!f=$|1e*FvHoum|I>Z_^%8)XdOPBOnXzP%^u#bkc#ujWy$*iO z<2QI9*snRAiw7VkSF?2v)0!O+ z$o!)gycYuPj`AWo>Hx$P?T;e$3qY=6oUx?W8F?NM6D$@Fke%*dv%%pJUie>=k(QN# Mf&>IKjkG}j1F_+!1ONa4 literal 0 HcmV?d00001 diff --git a/simulations/figures_sim/figure_toe_corr0.3_MSE.pdf b/simulations/figures_sim/figure_toe_corr0.3_MSE.pdf new file mode 100644 index 0000000000000000000000000000000000000000..558b1cb056157ccda4e09104abcc9ba14fcebaf4 GIT binary patch literal 5975 zcmZ{ocT|&Ex5nuRN^deC1f(hu5+HyS=^(vH2ZM1c;#hs)Z&>qO{7&v~ZLYu?z6u z-2i~*z8-J@P#ubcBGE1YpfS`1js-{&0!#t_Ns#?l0x^ylje(r{2qrs9OZ&@1%M@`AON5i0*ND>0H}o|3`YYFLp#BVePeNi znYq*YWOUl-p}A!*v~5-ngOtrDjz?f&1uDZ7?(R8J0BYH46KXHWUbD#Xty>s@xRULs zLQ>BY)yI4JwF6dIZd5o`ra5K5pKY0KTfZ*U$cPvop*!>J__iN*+OE7AqUZ)74tJ z=IcO{l%lw*`*2xj*an!u)j^qSXjYSX-%hK>KAk1Zb@*H|VBnsj1V)dw7b_siEUWkY zMUNC4mD^lR;>=r5`GIbXvE4NByN0!j|LvZlAjO>7{Ht2#Z|CDdn61j{nJFYyN2aq0 z|LmN7J6$wM{@amQR;C-M*HBi5A`gn#TkjkgLOH4E*BhCV)U{vpQI}@CHiire(=+lL z)2}s|N5TvlmL)}O;~D+@1jt$Fm*fK)^Qj{oaCA{ilY6^WF>Yfzg_186{37^Xtnehb zO^sdFBwHe(p336+gf0JrzWwI6mHGD0xC%f?;ra?+6nraN&})ciQj!DJURPozYLy7DQ0a zM`RgkFUVY`ssV(D-z8UM*jnTYjy;Xmi#_d%mu{7F$yRDH>zSC3g+-WjA%(-v*Q=`O zreqJhECL3{G%1p&v11f`jWdr?1;Q&2=0DgK=r!7#W3!&}iD7dk=HE1ZQKWRF`Do^* z-pV$%&3Ilioz7t7lGRc3;}D@DY9%p}Qi|IvLaXW#ySQy=UK{G<;?2 zSI#{e^q8Fk+G!ekxS-NH)wp2zFkSnC6JnCDDA zad>x~$>{P8-KYYI3QNT}X>mbTHlxb}dM@9GHLfop1bjt5dcGOckuuW-Eg%X?MUxSP z6?QCCEwthFIWJ$`SB9$2CHjIoX1XL<^fL4PX1XEIFv$P|j&1Y8`%$k`H0KqnvkHqt z%VjpEX}l=ARHe0b!(wt{OK45~#xg`X6?xJIM{WvD9)mL(qk7DZGM(07G&@frT8?jc z$Xl%8bxYL-tJ0}O<*^(rr(CRA6M~VNPqL^+CMf5Ok7)D;TwU;?i>}28dscgU{*%@U zkmCnbQRZbIx`Hbz%$1g^WnsH^kY_j^w>m1*dP&#(frrye!GMAaZpXY1)R}l#u(o(G`BZ|mH~l#cxvaOW-T>1JDpTm)&e!St zkzS;suunkueCg~$ihHBWALy9&++5GC3XQB;Jt^J!mfEuH5`K7Y49}hZrjq2|`zgU# zScmt;yP|d}>K5>7Z;V$**69&T?LtIm;B>2^zjUWiMZ(W6_IvF8<4d!5gb|v(9;LYj zu3~#~(+0g+lpR1O@ksLr!Q~Z6CM&CV!pq{yv`0{nhIU^**Qs+XmpHSqMd;{;HSt=; zRr6@KRt%ZLAW^Bxy$)T+5A?^764!0cy^uhq3t#x|oM5?fp31kTyL^{4yv^$K(ic+l zcd>_a91B)TjYaW&^ce2$xi+aDB{uHu4kbeo)ZAcc28DQvmC_8jXll3I8s^uS+cIk9 zcg-l3-EEtCy>XP@&AOP*a@tXRt!`HLxE!AO+?ID_mN`+frDy&^|KW?e&>ExkXN>D)$@pp3JcFDXLw~h8YV%2i-dCo;XE~3s(8M7&b1Db)PE(lO zCGe1evZeCPkF%ea3k?U95xo{RMJafj`q3-(Psj3-*-PP>lTRPqTQhdIsqR^}(G=r@ z{IFB!5uJc!!!Gf6Xk}k#WhXx{mZ4G1Zrr2wP}4e*QODi*nw(*h*Z$C~V$uAtgqO-t zseZJ>m;uLk=@3C4WL0r`;Jfz>YR|f)itSPEGK_@4 z`Oa_Xv!)+A3n}Zssg)lCscW$v7qVs>|+qVsTcl$ z&zS0!s?Oz8JV&zQzBd;p#Op+m8Diz@;fvHiNV=obeN=HPzw4y0Kr3alG&&3?TOt$F zugv#8X*Wn)v(BR<@aJAk|Nhb3)u5@%T!u?X1L?YxE&U@31aM#W)_zoZOZn;Yj@y3U zkNK+2_5tz+%hwCAKc>!>_I}K7tdjftdmbbmtHryLe>^CanYhyat#Pr%#INJb#v#kARx2fGvQ?Dy9H?0@I-J z1U3NyfCg|U1XK;}1F)4OypxiL0Hh$2_W!^eBA)!l5duZQ%-}eHEs(%*gbHvUoINd2 zi-0x&MMa<%7yu$}@(YfDnm#yfGaM1)6cvfv5lSM_7&8wj?3V(>nrf>7WPXSL2d9V< zv7RmPhPt{M6bp9(K!{QHzX6T7`h7-KA`zj8MSvP`F9Zxu+!Sa?fG*%~bdn()>Hk6} zVo!ggQ)Y^{x!DwZ)KIHztMMbon51DhS5q<_x>lV8i7Ox)M%`BrN%$ce<{la*2}S3? zB6A`6>Iv2SF_EMu)oT=-8snZGtXwHKoGLhHU-)hgJelP^2y)AA9s209893QY^6(^_ z^0mGdO~{2@E7tkt&gi&U7e{K+3tJ@QNRl~^+FCXCLoKp2vViyZk!dW49IegtfFH+K z#;)IQCppVbYO>}Bkr+R|zx@4h%8rwxM^4EyL$JZ9=karCgF#8%L4NBnutg&FyO?dj zej1!Xeg_<($k~S-T!3$Vo)KP*lV@(bpWw*Jv3%~Z3EU0{^|?6;9%7ATJ96tXkB8<)ruJ3lmJ zupHajFG(*OcXg&!~!>{mOPF_yZUEIA*WIWjZzdAm(zl zd}hW@k2Kp&6!>-XD4RZ5{Z_z`Y1_xmC8*C%qTC}KNZmmeb+6`Hz9vk+jE|$3tO111%f%e|EDA1joa)HNcI`CWGJ7 zPi)Af0VJ9#4Uh2$~CHeMqVS;9w1@&$*ZsR^cdI zLWR#^k`9M>T*QUK=A`AQB|`fgDP~AbCF!$5M7L=BRTv{8yBXO`qi_KAZtj{$tA|{l z$tl&DjJcD}3975b^dDmRRs4(GYOq~Lyn0n^AVdL^<_z#qIR1q zCM0F8qmkUX_y~^no-ME(uS8hGt7H%I0LG07qmI-$CM(+Op~Xxgj7-<^VkMc_Uu&r) z_z2K2@s&ShE+9jwOh4o);BAW0Nht2NWu?;81R3imo$uvki(JS{$+gIZOH8)ud% zkKY^@xkJ0hWT54iH!w2zl>{etjWaV=Ld!De$?&DGwO^Tb<&M~>!gFEwLGc%Z^|^)E zYRPIjYq`eac4-CJ&fb)1Rcgs%E zF#777n{zfE!XB0$ERCEmm_IRY-e>6C+3MSdA8G|K1f9DcpUo%2a-Zf|gpS%3sCe$9 zVJ$hmMm--@0p`7E!#5szA&qyfZYXLf8gUD@37Y6Q3qV9e1^C?g)`c_qKk~N%5_`0q z7%+;~`k&NLLfL$?!Y@s7u2@~65ZPk2xH>L^yJBbJQxt6}ZN6)6_w;e4Rj!YQr_OdM zvqO*0y^1#`HihQ-IP;aeqjlh$Q(E%o^6I{|nAq=>OWLerozV;G^CmGO$09BwF!P8q zBe+@9IDTAf)p}KqPF<>qa@Z76Sci5EuM=g9iOJNh)6LS2>-A(4y_Cx}LjHAS7kmUg z!XGKz6u)V7vu#yq0y1&6ta9Q@iEqjFgzotCgx2_{QmOI4@v-rSQt#5)F%`sPM1x9)ea zOLHW4DsXz~sP)K<>KYXv6(v;#RRi7jU9k?<4*R>OcPr!W$KAdUxrpaf0$WJYOAgAS zWZK-+AfB?;&ZCZ)0ajQq*g)!|yWi9WNUf|Ms2s!vjvBbsPx+-~AWD3g-H=@^mMWG@ zpLr}Xtpf>IaV`nXgWTzS?ynBZ}p(AHSgX@AHoW-$e~o7P-O@k z2-9p=;`7jP?B0LavO~9ge%U)RY&c|iJ@?@C{f?B#K;C#7hVzv)!55({CX6F5Lz*3X z!cr(J`CIw>_%}7uG;ZYi<+J6pZ2khxPZLr|M}8oC4L)S= ziz*4VDv_rqJoYr#VJf0I2G>jNfTL>rYh!8)`Z7}2?I41*%rbEGso0v9PU)$k@sKwf zH4fnP#T2u|9U<9k2Rd1pEJ?Iu)6{o^KH=|yJ1-qVZQAWeY;$a@o;%_SmwS(H4wn^{ z`&q74O4um1y+sd%)<@JM+=4~wB*cILO%l%bMhO-p>3P+AL2I_LY%!XhvXDk($%p7^ zk@s?qh>fB$171BJK@PnNy{o#j=r5?Y!{hOS)Ne10p_V2Mu~m9CdN!PPQ}%G<`uf#CyzZV(oTY((h4XsR z^t%?{mdbD2@5d~PZ(7ldd>(_f>iKPE+*86<0AHZDki%0u%K<}~D+k}M`+nLxsXjl*5%1t+ z|E>A6M=ADIP|hOtG4D01OH>L`+)>Ry1^W%oEZKmCnB(Lz%ht-Q7Iu&I(e9Ik`8AVw z=ubM0e62k#KfYQVRV+7PQA0D-(;R>*s zYT@hfv)!NmD z>>4Rk^i{7fts0RXySpk4&Vg~ISe z)P*51Fuc1n67B;4;t)tDg5(Z`VbCZ5@HPfc3?yViVK9QJOO?~a7xaR4CN1&xBc5voCd?TjUoyZt|m(qF9q8^r%~ zN`Ku1fM)pHxL?L8Q6yY34599XmI$|lUvv30MhA}cg5wY{C@t{!TmZz0{?l0X!N8qq zB>^B1t>oVy07OPcN(SHz_*(-L>|^2wfcjelK?wJt|E+p?w%jv=_;0H7Jd4^B8Q0C)rCj3(U9 ki1PrNqR}`2(Utx+8!Qfr!Tp+y3`ACzR!~sWNQ?G=00_T=`Tzg` literal 0 HcmV?d00001 diff --git a/simulations/figures_sim/figure_toe_corr0.3_Stab.pdf b/simulations/figures_sim/figure_toe_corr0.3_Stab.pdf new file mode 100644 index 0000000000000000000000000000000000000000..a5e02250a986dfd60b3433e755f5eacb42b80692 GIT binary patch literal 6066 zcmZ{oc|6qX+s7>-6xkAqAw-rjV{AqCon*;Q#u!YP88ah8cCu5*n(Rx+ktQ)j3ZaZW zC1fi^w(NsEGo91YdG9Xz9i&*$f_-uGz_>d!p z1q6@-pj>aVsH(C6wJ~rg4uL}IKyh$@gw7?f99T{c0tSH;KuTbUBn!|K<@W#XSs`%V zlv5S}eGC-siGX1NW_~!dAC7YD8V2R&2ZLj%yYjM%vLK4~D;J6?NwQqI!U9LSQL6y| zT@3(e6@Z2VfZ9+T)Engi0A7Q7z_9>%N`M96KL?clb$}X2jmE%{xWB@I+9)KBvcv+E ze;o%}z_BPl42*Ig7vO6cD7 z-Wu{H?SVPl0Ws93@l(|^6>q?;wZNfoG<@$I$5FOu<@)}-^`nYQ>9z`CMfh~GqZ^&_ z#gew#aPjFO{@C;Fff$V+T#HN5V8)u-@Y?ekNoD1k2m`S?yGR<>;Zofvo0w(4ATxtV zx#Q<nx*ir3^ZyxkW^mTr-(Onmz{_ys!@f>=Co0b@}tLtrKM)1{m~ET*;BYv@h-C zuTmFzxU$K>jL~j zHr*5(NyztEL!L~))Q=F+;}c1&T^fY@b(;G;n~!NL)-z#q+y@c-15dUNmY;`;hHW&l zhVyvR=C%?;w9uzrj>~f1d8JzfRyH;{)yt_bocopa4gp_^{#NVKuxSf&6lIA?(D{lU zs0eFVu+pR~;}UelK!B=XU0+#Dj%(;u>u{?tbg^odzPSk|VS3e-s=Xb$g7hM~508C$ ztm+l+MwsYk|1^|118DPD=;eioJ~PRXm~9-IoNg%#Pkc^S;AMh=+;FC&fAbjB5EZUQ zI#U&O_AWhkB+EtDllZuQz0u2*pXbHN-k+6Yk5xXWyegLlYtW(wOmIs%#U*MuO#+yd zoz^Lb;yUFXj76iC+7NS7m@?jh$ADqJMmo~O_FWxph`%O5?oTGZ73acE1H!fmM z#C#xEOdR47SM1sQgMnoCqKLR@+wU0o*i)91fuvhhL|m}ycf?ixUfLl9n0ZLVu2(k) zn5ch-7oy{4bQN6;uMHeV3;{fpjL$e`4Ly6`Vrg9Sogh+Qi{#E8*k`R+>j}qrN4n4J zo@pXX@=rT-9p`N<6II%{`sMX$OFq#uwVQ{JB^xrntt-2E_^j)FjF!9D&r#}O!p~`{ zq=_G^dt+z6(x8x+r{*PaIZd3jX0l-VA!k4UUtmXauQr^mw|zE%rvsC!9RF2X z9jX#%Bb_ODL3&Z`PQts^eyNv>a|tt=-OHS(z*^pS0^?i-Wp&aC!})Q5Wm zhJQ66$b{R3uA(6po)m_=09BFd(|_ueb;y4L`e>9aCrcvnCbeCyvwhA@=>76RZ=O$G zQg61>!w4g<-bugAaJy^@JW>|K@7$Xcv1I#TlU6|PkEV9dOA+<^aM1vDS%g9E{nUYm z)Veq!d+dHV==(jghV&9TYy0Mmx>u5V&uv=4&>;W%$A{24uTg#_LDA6r7SEy}w!Oq| zNG7MXui3*9RM8J@w==}Fl`T6gX@gXw)CVm38AT>1s%&OTC^@=Hezp+%+@KAX(-6wbpGIH*F92w=nZNGNC{?PsgB8hddr{QMq7G$ovx#PjD zsD@8^6H6N#mmAv7L0eMd#yQkLVyc<;4fbD`PSbX73V zMJz}|Ty_Gl2bNUjN#2}sHXcvB=2o7Oc-q+17cv!+>rb94^PQ|5L+-hdF@>^{lbomW zXy^DQE&8}xRi_;m1Ab=C-^K=~{S1B`7I_PFy;)=?%t6eS57TNn*q}HEGYURB0s)C7 zoLqVKGZiHkee%YtX;zB?u5lMqjnw+2)Sx{)f@VF9SyIIdBgpGL>6Wjn6Nx_-Shf^g zo!Kf?#7V^Td`n|B_2)leH!J4LtwW4twhsEqQJ`}A3y%|sBkRW-F3$1ay&DMcsbj^J zHpSSWt}IcZ11S1{^6Q&&L6+&;hcji(l*d4;-=w}uKgK0G0(rrf;p$MnW` zD7}&UWV(lZ0ge4p8CcmY-{6?mmAxI(jj_p^mFS5rbO`Yfce_ptWk^r~M^y+weAlk;%}gyFF*P@1qw&{+BZLXvy16?T6%i@- zuj8-7S)Ia^F9g$#B}{A&Aw#jDgnfL#|87DX`uP+mB$f~zY`ov^NHOD9x_M>-ftDNLyTxpi6&l0a)YMcpX3Wpno(OMNJfdB==zfnvLw|wAUtC1R zo5U;Hb{}Z2x2~E)OwFbL{Y~Itz({2b{s4*6;`aBQY#XFht|Ay=@_5RurHeXY=)s* zHQ(fmfK}3iNuiw(ul(k|36Is_kw%((2ayb~O>CLNP88a5PtSM6CM9^dFwve^qoMbv znL-l?TBmpQ=(6d8J|=o+bM5jrH?jft_Ad^pC%&RN%D+#v69Lg&%SxR8u{-L>$J?!} zW|J#cZ`Pgl9AerlXVfcV7Xh|T!~T$V2-?nuv#V@?qg46cVS8ubYhT7M%qFRDwj`#w z@bS(c-z9=u#9@&*!)T2+s4umAL01)NBvQv^=dhM;-ZHRM32=nWYyi!aLHCWdL7;6< zAJ;qfj@}-7Sx(XNSUzz_%jl#uu7v5nKGXSxjvhHSrKIySppV&nb^_BF8uz{fJMI7< zzNaFWKPsyz%lXLov`7qxIvqSn-MN+F92L64rz5o6wrvxVeUj!$8N6bNG zz1DOXLvjJq#6NBEV+-~bYz%U?XrGbxkg6IVcQmHW_mTuItdjHDLbY!M^;xt`tbT>! zH`0_-aUgAHC8T>`nNE9G?+kkH#9V&Nt`O5tKf%)+2cj*p!27y7@5)R7CK+`OU0ksY z*;>&WyZJf0>}@|wMu{15pLRL=Gi>Qfh50o?1ZgBLasZfbyGix02D84=r{5zb3}k0L z-0zF{8En&F^0Vu-XlOD_UkBX4Y2N!i=fIv00-({=pkLHDyFky?dhB^CM*|J}6g{1$ zMC>tN7tmA$_dQx2055k~UBQ|A5!Egi9x?hAa6lpz(PwbsuqlW#lWh1qmt*6!7IJKP zVUlYsJsPK??sT2vv53I|w7UeJ-m$%R_6t3OHpexA`^Uw!wG8NZG?of19tl)NFBZBl zI4nru_#0_XYS$N-dvcO_0-4UsF_*ovf5PF-KyWcrKAs%K`>J~ltSlrOQQw-5rVl!` z5@ptwImKbiq8?t(5q65>Qc;2&$LZI4S}Ax@W)9)1dz>Y72#rto1WSa7@dhd7T@Kug zy1JliCihw23h~^TDat6cE>tY8G-tZ@@X?jw>%$T^S++P#^}LEm1HB70IO$7#4-;hd zYziLqpIaa-aBM1*c^D%LVTqvRGodB|;yeU80w3Y*P_oJ$zBh@`vRd26mqrAZ;!k#9 zp1690p0nIOb(`}x!{y}Q$n!He^mFAKj;dEgR*sLeYHSPfI=%+$6`ao9265Hx=Jusl#W<^P(Sy&x*GKhKtW>lE z2$+N)3}5xRr8{D0w5QGECH5seBw$uim1b~D;;`Sa-lE;2@=0y^GKPK&MCmh>XXG+ zV&l0oB+#EbGC1;M=4&2#fCQBcR9-bpNlPwu9F$yy>Fjh0xpIncY zZsTrqiaw04NlHv|O;kMN$EOCimS>aeRYEGXcxfs6D%rUYx?o7$u(x1S`3axE(G!XU zC1X$(=qxyfbgqYCu89;Q(|`KvX{`jtgtI1`LuuJ<-tc7mL77MyR+%R0d^&sUyAAUwg7Dsj!lAwbFt)PM0k#)v|H!Lt8_lN#kmjhI)Z(W+(92tFO_dV$29xrd1 zagK4qyW)U18@n6)^GU=-BF1sasT6slUZ=hpY2okWpL{!VpPoIKJx@QaGpfA8qjFxe z&%=4dS)_)o=7YD#w$ZjEs(q}lsr`0;%na98%Vq4OO`pR%3 zo!5zN8Fzw(l9}0AYnVgNK)K9M4ZI9%bm@-BV5kvk7I`PKs*|l_SQJ>yQ_NNLp!h~7 zzVm*k0j%29=8bdwP%KxwUngv~c=o|eIWJjyoQPI^b)`^wnk+J_8;~F?Jz|^Nvb)RK zA(ktq&p8kWij#?3RVmD6?A;s;E3GpwZ}47`UE#`OLNTFISKk8X%|waf=@-rw)eZyhxI!~R!IkOp-X&d57mv#*DFnMw)7vks-({~qs z1aG`_4!3{hG~iI+@Z`A*u5|t_`Fek4X;q-jQjM&=TFV<0DZDPK4&fCl@k~}47(|qH zcQQ+{9>^)G-3nQ9NZ^Ur?NCx|@P0HF`$^)Xasy(etkP7-7%#?aTx~36G>Mu+w(O>p zY|?K8e@cA@f6`Ov-DllnJw38CHeP>D!bY|aC^RPcv>D3;)9+5syqx*{#Wkpnd40kY z$bq zSR5T6oE5CHFQ}-ev>i$!HxdntE1rF83z-i279L9M?UP<>`{Pyk35Uklaa5Xnh4OU;QY=ev5q=dFWU)?VIZXE&$sjbG3e*w&DOS*CrVON{3jFUJVPGy*R> zt?=b31=Z6mv^X39Xamzd>QqBi9Z0#@myB;>9~0?RP*4*qn96#23O##xR0BMHheYi z&Y3UFL$OmbOFlnr7nX89rXJ5d|^|3Yn*zcG~MFAGu^ zNpbrSNQwtZ#n%6EKsi z{){nzd*6cN5HKhU@ONJT)Q7;pdhaRa0mRYfho>3^#dUP z)p`fVr zk6LgTD8d_#p&07`pd}&@PI)f?Xoz%2QKmC$KY$h}6b?W&ynpoui-TftzdEC!q^Qgy KCZ=nq$MQcVVZP@8 literal 0 HcmV?d00001 diff --git a/simulations/figures_sim/figure_toe_corr0.3_num_select.pdf b/simulations/figures_sim/figure_toe_corr0.3_num_select.pdf new file mode 100644 index 0000000000000000000000000000000000000000..7c23ac3fe62895f926c8fa7b44dfc0e175fb628f GIT binary patch literal 6028 zcmZ{o2T+q+w}$BmBE1MG1f;iw(2-6+lp-CZNels^kU)y`UZp7_P3gTHL_nk?QWXS3 z7eS;*l`6fcH}M?Lf9`+o{bn+m@7-(dwf4$P=Gm{HF+^8VT1u8yFl0VtA!IOQ#12g> z4FCa9cka@vsL%qn(QqghfkHx{SU5lgq6`LsK_FSMw6vVG0$4_r7HEia`hVBV5m+}u zmMP#G8tUPSfMEbPaaa!=mXKzQMmgbNa5QmMMoL~vnxOrvg(6C#v}$U!aHJEl3-I6F z0D$H`9&i9q8;XUxp40f4#)H!R@R>8v}Kp86J%1y3Hp;SM>W$5T)Hl-Qzsf5 zDa1ACd%bgK6M{`4g;X<-gH;b=1$PQxG{yj3=8H=M7>($yxPvwB6>Kgp+4E4@^-n2h zohEC9up}BjI)&hEfQj5!3Z9Ra_N9h4<&xn4b!+3?M%ZdR?JrMHM1nP_Z;^slgWOjzIP1AX+Ow0 z?*x*+^V#)oivek3r!(CIeb=+ z@rX+^cy*OYgJNt2nqG0RI_KG=@KjvTX?>N{HE67aK1*fPMBtjlZAyhFYX~ytMb{^F zn%1Aq1bv}nc5JDNv`(R5t>gW)$whT$+1+VMx#T!kmdK|*{-ON_ZH_W#2KDKpn_c|| zw}WMptY#&|*}q7LTYiyXrBptz6EVPV_J;83G6I~#v(1>ME@XFYKS&1PltQjiik~e> z2}kEY6bc=+hZuv7{8T8kYPMC}r1cs$e$NQ`POmq(9` z#C@pjRC+eGN%)7cE-}*h6Fxl8>T2lRz3+63d0T6tAQ$d^wsR8`f)NyT7eV-s<*_{% zk)sUG?||5|RnCEi&C(nJyeK};5^Ha7x`$@(8^~&Dgy^6>>{)kzIN0Mc-~oy-&I~co z{!9&-QPbJAc0`t6=*UGKSvsR#?}!md+pMgaxuPNKVLPHIdsa5lN>NhW$m6NiA09R$ zLW=#YY(}vLEE&$}Vi{s`4u-Vji&7npL+!211yaIopjT{(b*QDA@hj;Id zGiNx@`AqY--mj}@2gym|=MFTC*E$>9xecOau+jD^f?;)56^xWvl;$KpuFE#J=}-xd z@9ejvc0c#lw|CZ^!=|Jo&B`9${B#319ZTQXTaYtbeiWhq3LO*NvJ=O|*wi~)F*qG^ z((1za6&s7w$UAs)o%DUOW>s#v0bZ+i!l%=Bg@+-g%_U)fm%A+G+|pX~AFVw>ZZ_FV zQjf}{3#($5_YwY~qXum(rx0n)yG8ZtH8=MtO=XnyH+EwvP5WXb>IPXUP0v&6Z`K%4 zn#LNinaa(FRnYiuf}2Nt-}?!NjxJK%Z>Bb+DD9)c$9%LP{Nmx}hEdf@6s9%XapaXO zt+85M6`~fgS}B{lEh@L?yWLszg+tff?cyC>oF5e40X17ab3#0i&$#oQ$6a=Fx|?K{ zpN-D<<80=r0z1fNMXKm75y5`ybtcQ`MmbPg;xPX=+|lX^wem zT8so#T_7z+JkF9AjZ`YLNhw?(>&|c8@QG52`dajzt7XDjz92p`_paD%;l>l=!~y@? z8vA^*blyqpwH1q_-`6>wEf?n>g^$)=?(3{%jEfwJp0h@EqZyb%K@l3?WmF_gn}IFDwWP6|9@A zm$xV^VC95``-Qj84GZQKZcHrPz9$~PT;=JtQ1&VGVcyKgsIpb9s1o&FhpDDPgWdD? zfv?)KGP5Ly*}_|FzL@-oe8VI8O(dv&7RByU@6(>M!>@J{p=9~+dFe)8SeyZ;vi+sE zs%)1K^E|>lwchO(Mv?6Le|SHq{48PLI}2@1nFJTQ`(GgZ=kJT|ciWJ~~Qo0Md*Zm;KtG8R^|DyqB*QdyX%BxhuV(wSFpKHJ#1-SqHO9$eYURpvi> zu)@&RTx65j&8kl>NGtXwC5W_J@WZKRRIb>o$Q@PAsaf0ZhP!w_t1S8(z6 z+;uh+Z@%$0Mx6sSS-gw($#u5eOecnKZ)bb~Sr_k4UJ<{)sCp|2yO3qDjrn%RYai#e zyLvFP**Cek-8b3a|J-Ysr=j`rLXDd3&&9>b{*B_@xs8JZzvr_eShS z4uxN52OQToiOsfZJG~BIe924J=}XlK<9%<99Xev@6zE&6A!WT@_1*V)_2Bbd*XD_@ zpN}q7BdtneVoAL~UC52VIe#I;U&KQMnm>W#H}U)lIzWAd69!-lAOemlz@7j?C>#N3 zqya!fxDx`Zh4Kd2f(UCeO7Z|1d64}-n25+UzZr&rUNAE_7GMh`z#pLk+#7383)Cg> z5I{u*s0#*26F2!qR6reX>@_nik^NLuh}#iLx}nf!9#GgX1&A@drUj7u9sVB%BTB@2 zw!rJ!+FDQy+zB90jI#etb;P&dXVfHO6p~m32!Y>6z~ID9fkp&U1ODbMIl__tFWw^d z^fzy1rg)i~O|nM~wkWh1KW2=1g1_f#N~U+AMK4iGOqz!AM%yD2etC$w2gD??=p0yN zHaK59v5G$?g4CqyD+MQH)YF5NJLS4l1?T5xpRN99pLq`h?`5|Pesb9g7;hwbbQVV0 zZeUFlOqXlTI=9>v9UtrBNKHz&O+xNQGV4)Oqs4xtOO{UN{~^vTo#lw5rI8+Rd@44g z9`}aiXZDkZTl~@_#%XcO-;O5jI62-as#;|T*4=!U_Da@p0CZ!3|5hm2G70ld!q)#F z9nPS%3l3M|?86Mq!?(Xo3opbgF}KDgI&yL>pF3&*w+g|+u-79sx=~-MIQ@;}Nkkq` zOD$o{oZKW~k43Qw~=BND30b7vNMZ}PhyFk8yqxT zj_rC6qF0E&GB5oho%7bEIW&p$;Mpx!A9v1b{;MApl@vkllJ2b{qe1p(&mJG%PjLtj z+T?`r9(5d81*Tshc~Jzfoji$hN3fCDesO@n)doTZK8RU1=13BxQonWjiIg{PzRY$)p^QV4*9HMlnC;*-z{N8u7G zTn>|Ln7qeDYzS;tR*_mNq|cFJn$#3TpA{^+P5WMhF+AceBb#Xy7NGt1Qgwv&BknKc zl-f+jm!6yx)Yj4?W7GJWV_I^lEOIT^dBt``1k2S(azVQ;$HbNSgw2=w3W%oYjm--t zH_95vn~LWW!a3f&+XgH0N`=<7C3}$jGj4|8>`0wuvZhrJDP{_0WKzzH1u?O=>uM!> z3(zp}l|N!GAVX+;e8f}0+YqCdSp3$Ol}blP+SuU9`CeYOi21yfT+3Yf{4x`2h;Q@RwI=R+#n_PuQr!a$#}O2^WJ5E(x*K zkkxS3aE~M?MR0bZA$V?ACe-nLUQ ziWcv*n6>c`_OS9`spo8Fo?+aIW9Zu5?%RPM>H0GSo>NcA<`ZFwqj?^#rzHlJ%zcd4 zRn)K7_tq3(-j6ow^vDaYkF>t70#UhnNw8JWM9*13UNl62&z)~WIFtVqe+wY#ovsrD zTIH6(j22QToA0ymYm*!?YcUFuZB|S1Q4y?|or!l*w3V#+p1Iv0X_eNw-Vjf{ol<6p zcX|&hI!$Z}&GWJ5tC7Pm!4{LcO6E%1J~imrZ&Yg1IhT8gd}VbHd;&ee zom{n$w76-}x+XLxKPFyQIkr^dQ?fI5WAx*g?&wUZ%xJ*q$Y@=uSLx>w4MZ9u{N9(l z>qCm=J6L-6guY9g8IP5smZ!(V<@#l>$XdB>j$FcLj1P~08|fV`8&=NWH-GkgBR8|G zMf)`Tpn%?@$M9NCjrMZE04$QWBPns9#A#2u2rGyCjuUL$Zwzac@$L3C@s04^@IBn4 zIg$7-@cr^h%ZVA4G8G>cB~=Ag-G!Ypd-bPla2~!;a{FR#-3CQ09}n?(ximL8s{itP%B80MC`mlK5xZ6_RV=pw z^GH&9hZ{V>W>_*z^1Nh|MD{IC>n>aOnzgzUS9eq<@{?;oPvjjIS2NcU*lu}6y5z*G z?t_nZ-|Rj&lrP^O3_!Xdd+MfOUL#p|dGEY_(>n1ZEG$3lZEinwc&JT!sA_zNDz=*z z=I)&7rFGRusp7u!(%$&wn_KJtAC5UViu9lA$M)s>bnhPRaxKRFOYL zEl5)@d#?n)uv2n|0EVn4kr7mU5nu9J5;|~0l^pz8CE(bRbL{XhngH4@&_^5f7 zMY9deXRASl$+|JG-oY7E#AnfTlo9v_KUZ22sC&+>2gc=tT%(SudovFdh+8Hr};#Pz@y@)w@X7jv9Q zOgDI_yivC5?gDs`p461>>;o!nr{o;DJ zO{qhV@DaQUV{gHW=t>W%w`Gg&I>^I4{e-^|9GWG4qlgF7MB z4&bK?DP~E#LJG=N!c_nuhb%L>bV zt-e-D*{HU5qxwT?!)p=uf<#_QNdWyDq@3+Sy%=fj9)v4xe*A+pkOtKawa$pBS;WK2L>fYK?CyspAQQ2$9|!}a{qm#ZCt zbAhWN(c}UB3H|+&PbJ|M9_0nNZ;tJ6`aXLHjeP2MD@PUArSgzP2}JP(Jv-Xi@6e3$ zd-x*ZWq`|(y*qVnegVsx-Hg&$^044W!dD(OF7KChJ%z;!etlbqyd$cX7`sL9Nt*Tt zc`VsROW7G}$+)%E)h{Ek7Jc8Xj0dWi3Scv8+YLXtyX-%hxq7&+?lZH0R&{=WBf-JR ze!cOFM=7Q)FlT}KlvkPRGS$_nOHqx$tM;3mSqlF1F{jBRRxOoTP3#^U!*9cCSob>k$eN2C6$8d7oV$Pf9QDQWyVecl!Rzq}OZjGcbtl zs@xB|y|a_GCv@ZHmYp|;ZB7)tw>xu}CA_;?5;!CfR`>wn&?5J*iV2Ju^<1ws(c z&TxXGNVE)X0kU#HcLWlL0Vv4>J#i>3+zsxGrInVI1v;S!CMX7j003Rk(E9|&g~D(| z)P*6?Fr2%y8{8WJ#3J0B2$DM#hDIR)z&mI-F_4f6g~13WB`weiK`4bmU;scVBns;U zcLo5_znX**$luKk`VZX|hjf9WaqezV92NjXxuB5ndxUDxUpr%n<*Ny`)NLH}C=%gX&*lanFbCH^Z;UY20m z{k>up!3j|9xhT z#G}YrrXXDp7}gaD$AOFpcq{==PBZqvI1%6o56V*+DS0UfS^HHBLy^P)moEblXeY`l zpntCh1UC1^B0ykG7#@bgxPZXMFc$<4Bts4`1^p*M;a>@qI7+k!0*(JG9IS~!K@Z=qUbx`EyXd&PjCj@2P zI6S#$ZUC?J78?W1m^^FadMRsf6j8KeN>k7`I*#+?| zxXY;L@$LcFM;GKjjNf?p+qOyZ)mBo z!BsOi37hk+r1zCcDY5;i}yFxkG5S|-tIZq)0AmERwdcn zJ41&pc&(Sb9e|1SIXTc-CCE1E(eOhyQ_D43L`NV`Q`ua9I^=|81A+h38E7yLn^92U*!Dokba)WSqK zZAgfkwHrsxq#;V9X;CSeFUS!vlsyEu5c~;cQ-aY6JGdUuAWQiw-d@V-f&^X=$NDR^ z(FNrU0wDs3rZ}OnXzUFuxweyqAuPCPs-=*%LWbi{G1hT7LKv{=)Y3vqVEy1ZcXMie z^!I22i@YS>HNwi)e%Vt?ug_9 zpVFo7d}~5ov1rapzS%f>(;9;uGCc+>c&&<B1@o&%h{E#zV+?dwjUQWs~XRT0k4#l<@P4nkB^#m$9%r6 z`opXB1>J1u`T0vZUyFpg`FV}5M4yc}y-mNbe%95q2XX?^%hxh~RZ~MzdOUVNH!N>3 z10KO5@J2$jfou8X<~=Tvf}&Rd@%jpuQsquGt8cO*V>ac>m-LF&IT`3E#7 zGvQimAeF)$!%ew_^5p9H)hHrQwWVxt~!m7q`y(+N|z z?QZgK4cDs42A{0pl*CCz0jBjZF%iDqEJGB3;Np>aHTvSq-i+tY{ z{TRS#WzemPP%JE$O{|*jH0yS>Z=mC$yi2P}bvL@%CBeiyp=sB8g8QHQvCInA6PPC! zs6%!c-WzMvW467-%}J-}o@G#h+_KLn0S)*Hz85LAkJ!o02V8~sb`*p+u4)CAB<1?l z-D*APgI}#K$F6$UBKD+R_4T8Gym{qHD;-i9c4-k{t8W%v@@i+4h}WyPvK|K0SbVi!vjUz$bbR;i6s&DrzI zXA-LL_!-thFO62^52k<2-Wg3l+JwXBym343JBQ2dOe%{((N|FM$hU^Mn+8WGED9bc zs{op!eV38XRcaQmEBZwuFXgw+KHAp@CNY=zneJ39Uwf`nFbgwNX)@sr=Mw^(tZmNd_$ zcv|eNjfnZ$5KF1?>eqgq9jE2m@;qU4JcAkwyEpx=NaFqM=ROT+EL49iY$h}~+tiBA z+tAgiOGMVTDzgv1Oc{_naribR3lLSV2@_m3vhkr;i~|v0OoH^ErN#%M;U@i^34*ds z96^Gkn&6BupOah97yO1j{uuo1?%#_w+J5onID7p3Qq`#6Fe;13HI>h-)ghaDzuN%U z5N{?jWR@Afz?~*`qyIt5&PR* z>;(Hz%+@e&{E;l}hKA$#IhC+mrgzwXB!`JU4TZ2DEn)AxC*G*$TXDP%t9D~uk`p*uLsz`^=dA3ZzD=ZRc4wwn zPSITl>FjZ4hJ`00c`*~ODo~LKps9Zkv+Oa85RcrrGRm!x*8z4-{JoOCyGR=XA8cjsi^_OA)G++lqmb(C`K9m-s4pY z`=BXBz*>lVNH~HrDfk8%ufV?{Nshdw{|k~RYx*0KGLk*b%|^Jxdq@f-<9OD{#NNBE zrZjq|NqTWommrL+`fp;X1mv~Mv05f^1t+1RlL5J!apeM$q0}bjD<^X<=44lWH`iEg6$nUz>;EdZf1PKjRF+#9h2^0X_e zS*8nB8?~prk~Qp>*6$Xu4uV=F;5H>}?|)B4uqbUoLsWqsxbA7h#_X8L%tIyi#^^Xl zAkV_dy;^9aFgzH4Elj-?Gg}V4e?y*1G=5BK9%tr+l7z>LLW3k{ys0Mj+HY<2gRMGy zI67Ebx;t&8*aZtCfWmfWVGk2HqNaL!3>TtWI;EKv9$uV=45tFE&rNwyIrkh|b9%c0 zUka!UD=H~UyGgn=iVphQAEw3c-b;1}@m~XK@$bF+Zt0hLnyRb-Q8lt3?uO)|vR|P# zu0IOzas*RFzHB5g6W!0(-FGl;o|bSCFCH7SGoa48D+XR%-_K(9*SvMV$Fy;LeGcZe zm7o}phiEz|pq+gRw3^>{Ph)>D&1Z%0@iQC~&U3RJ3N}W76ScKE3a*2$Cs*0N=ZK(7 z)d*AH%X+-W^6ofqq&E4%=RLOGWGkBd3un~*&QpnAVgoVyI*IqL6Hm43(*Ed*>Pt<@ zIOqvFCR)~9KYq_G=pO^u)q>Wrn{3!>6ir(IS*yGYCN=ESQvY&BFYle9Ef zMI%nQJ3=OdIAf``Ks=lQRoT3WK_!kNMf8MhHrZf#EH6F~J}IlnAQjl*cw&s&RGK+6 zKx_lhsm>Y_`ks}`G#n4oe1Gm`s8#IQSz0g$S)OC{U!-Zd!KbJ z#OU3lNj59MmB2!_09H2TCsERD+;4R>;=BYI*)9~vvggqt)j!9c&*QI+)Qc;8Z_7!q ztqn20o_Oj5KUe7VljIzW9QoX5CJe?IMVAL}4vO9Z?64W?+~L`msb zW~cS?EmkbDZ7c3`(Ff=Uf((JU=n8y(*e zdph@7{7znp$+{rQ5zY7_L{H-qOfo0FS4YvH#=z^UAp1_ljb`kVfSNF?YpPnRM(2bY zg-rCE1?9y81uwW=SQW_-7#ARc654f~SUgm%uTN;8g|jYv5qWKreaY(53DFHs3-Liw z{3SaRuYw3mS@UgkyXPsTRykf;?t0&zvOBcvJt%25vB@{j#hWjM^;be~j_4?vD`|RH zctmZ|&FOMVv_wp6PMJiC9*DY#!p%dT86nJS2ML2Z%ht<^r!{2?=z2|&`IQ*g;7T#B z$jA)+O8rdzhacRz#Q1W~_R%gbZA15A`-FX!o02z;ZZ<9pf0X|y{;c%le35t2w~zXR zpFiphPCS(vBn}P?RzLN8`ei^JnSuE+ zmac09=X%qJ`iC|LKJ-89SI*rrPkXVNlktqCc@XkFkNIYsp>B4C=0aXKJPhzIA+Ec~ zX&X|2mm?ezgz9$cg6m{_T767>LVZ?!cDEV#C5{A-`1VQrX7tMR7wGBeOX#ale+!d% z$NA1a>?o}CVf4e>(ek_mpc>RdhFQ8>0WH^fS3}-i!P>ds(W8qK{sC$zGw$Xy!X#gz zU;rtGoP~yW@paP8*LQ_W_Hy6g)`+5yI(wacAR+Y~3K3(|FBvR(O0r%e%Nl6aV(V71 zT)pq=hRHyWyAs>NZgaSrxema$ic3-@KfP-G{@HHR?n`a)!o40M+6CQKJqq_6$h^aU z`*l;}r{mz@+~D^)U9kSXH;}&ap>On2tpK>2bB3peinmh9J>~iBp^+x*ulI+4@bDBE zJT{2x$n|dB+S@v_@UV8d*28YaJ|E3gtyN7zn|j)N#`p#w(6SI&GIbN$LJFU{JX^Th z%)72Rv18dy^DMyqcFyclF~{mY}X6?IyJgSUt!0-(%~yPA{BV@C*&=4d`9X z*?k-RE;*FQAH&FUs+7^67sg@2+V?u3&apixnXXiTB+wzSu9d2F?TJq=S1!kswA@>5 zUTukOdhn9lmaPtv0}&j}gf{q0?o8TrA2i+Z)V{!sws(}2#E?~bet$OFj->q^G8 zEAl$hAFbNS3jx^W5Sk-VFY8-mM|uVWnzdd!Kp)Q}nkWqM>vV;pNoHVr#O zHi=uW9Rh8d?E7r9ZOdLc;`0|i?BDEtmS5~+xl$@+qt@7p=?bh0sY2fM7p;_%0N<~b za<(^$v*>&LqlGZ9^JT? z)Mc4;i}*Rd5>eKfgX*#9w3r%N86B(U6Sb7;0rQWZe@VhIz;)YW9;rO~+F%T`G^vg% zGk9rW1GF2lM;KRCEfWd)J9-Z-4Sh?TR|`IWs`suh{rYWqz@qS`rOht7)N#Gb=kmfa9&%05|Y8E)VIj<4Mw-26hWZjt0O23>$SYBG19e|SzeAd$+sNqV$ z4VVp7@5t7|{ho}a-LF@?Cw30YPj&OeI5^pVt((O@#l7*%o?$rPSElEqR|!8CUI$jO zUjt?;+@Fp-NE)ytm1fp+V^{m%AI43sn0&%a=+#^xwb%bxwAe3MsK%jt#;kEX#Om41 zep2MYmm{c+ zCYx_aG}#iQVC#QImPqtfG!FS&0D!fS&dvz34M_3%Y(cVeU^gV1fCDMXgWU-jJOYJq z#seU-vS23+*}25wkRY&&2kai1aba)*1$E&_4>-Zi8HMlyf$>O`6IpVD!96f&5cswS zf)Ys1gu&rtXAuB)LXu12kT?)n3XQ=#A)G;Ak6(*~lgS^2g8f5xC7@kk9t1ZOjDQD$ zF)kQ1;x4%w?AOdV3c1_=!xH_)`oBT^PfzsMNdRm{xQ+j1ky1qR5#t8Tjl3lC>EKsi z{*2K>pza~?NH`1t{@oW4rKA6}P`x}5&H!l;1Okx$`vS?!$;rrpoI!tUP_j`>xj^W@ zHHbX<9Q406sEh*HLH#dHR{mePP&tKv=gLcy&m8|dR~iZ-Tf+aXDg8^6lac;c4LLcv zf2;-X0Yjn?9%P>z1U5tZAjta#fv=&RG33)3r5|8Z3$y zLS&aELV8B$bbjago#&bV?$7ty?&~#wyzh^Q0bETSEFr}t;y>d*>)-D`WKCcK13&ljwLZBMMWkQ*70}>$lucdfF>Sz z6aWZAkPsN0GXQ9Sa7GaUl9T`=z<&~C{*`bXcN|SXVM%|517SEUiE<JsN=bbB+AZQnB3Fa zEwyocGR#fuWoHH=e2R*9b34y!`e!i?jw`V$vtTRKE{wV^k*%^`Hs$eOywf=1-nl#< z^PpN--Fxw&MwDY&ieu(jW{KU=M_(Ph;3iBx>4=CXH8{O|1}qVPzC79v@R@ufd? z2dikh*}cfJx!7%W_^#5|bp0l%MX^-a>-0~>GRH^Ly>~!65t=tk>*>R16f5lOIdypZ z6J8W%O&f}-Wfo0q96IRvw3K3(BE)yLN*X`EE?-WFr(Wo4EqR9))LyOMin8s9Qf73w z!7!tA&ZfMFp51R45G*@#Eq(#29PUE7WD>OyfIJ*$B>7byM4@Iht15(Zr8PjXCna~2I*WeAgp6By~3B3#L3WDF7|kX^bg_ml8{{CtFcs^3>PKy z46I3suteG$6&F3*g8NvgT7(T+Os=#h*hLq>zF&TY_Hb)A76GIvv<#_aQdNV_D2elN zshVJ7Qp$JwR*4>$X^GxxQ;}xcYu^~Z zZ^o$P25*N)39^a>x+y>%C19`57;|0@QAndTLr?G4u|DVieDJ~)W*s;EU;rTy)We(< zV8WmNp5}>w3P)sJg_XhV+(6=rGm|sH@)YZ+16NY|_ZS9G27Pw!O=XUREtv|a&cq?%RyR%fK1I5(V6WSC@B zPlUJII4h*VTJbbVf`9_j1G`#3rW&nB_xLQSYA8DhaPinZSp(j@%`nRCNi*?AsksI( zRo=^Y5_7flWKHm_V7d4q$Eedcx|&;sjFJ>pnLT7r)f74UDy7m)iGjoj+_WCKcMv~6^w`T$`C~ce^!P)-;aYgzIW57G+YNxB%WdM!Rdz9Qm)gYn zst^XUS7uD3>E-ECUJ79mm&F5fj8!L#ITm?2qr>YG0;Nue>v6eK{t2$q&A~3gzP#+R z!_$ESSAIhBm}3?y5chbE=rZ*zIAHvJLQm;H@lFD5;;)VEPt|47MJTswYHyRzn^4Wp zhH{seA3TzNqeO|3`d|y74%*o;F;~znHDnOIcvtG$YLmnJSd&iqQbYfPKAQ0?ZM6|4 zt%fOTwcG{uk-4g@A<^xbu5+h=tLLTdGcWKHsu_3h2+6FhexVwea;9=`i{cP31gYAb zF1v7UR+{w(mTDnTcBm+P;uhP{yId^x)O>rqA&36Srhql1I|Io1-9#nX)h)vAiEWz5 zDqHu2B)QOzn)6xZDegi&qGw)qW@%VOhT+Y@o;>pC7v<_S<>e1JC2KOJAabDxRur6|Ip`_KkmOPiDIVe|9 z|5+x^Zs}_J+g)4R9qkRkym+HPDvNhONuHP2)XNX!iW><%XU>i-LWBjBx@}>TkuKK!hxy-f|B)iJHY50>NUrKIsE`Ms1w<2X&n`GY5FK&Cn= zw!2?d*^=;WpnDcwBEuPY+wXMXGM60ohfnXq8{i3gscKc4CW}?ha4*WiN{v2JuEs0K zoRdhq;JKdIZv9F1r6o7<^Np!~pTOkzD%EXyC06Kk%f%{8KI%^XP;r9k;{?5k5tta__7gu?mk(_%mzgd1)=2Iq$Leg|NU^!2Fr}%) zfx!3es();}9#ZUoA>GbpWX0y_z=`PL_I(!|c;}FzYOlG^_9p)Z|KWXY3rw!Pyjb(v zEY~0AZyfaF68A!hWqM{wmIWrNKbtH*{&3wwzc(sqvp>fB zmaVW@=xh?0{xM2vq!p}VIr+MrXZ>|0@dNRZVD@cP{R{@sAoRN#Wy%EDIfyi?VC zMOROeL3L`!qa?G1)P|lvR#x}dD#lzHziJfPO@PFs!`|(pr8O$g8;zCMSk%Y zP}QBJZcI8RMFoZ9a+H=B9KjfmK>kvIL?d+-fb{S1{}9`;bllGhs0o9qAc!bO0Q5M@ z<~IW#pMKv_`53ye$4!86)IBs3bzBsvN8vi)Z#t8vTqtIfhCI3OB*S4Py%!AfnTLxvEy z^1_E*@to%qH62TNKfdr-?@j$EuzUY*W@G;c=XIZv=TtF=fwZr5%o+Wdv&}g_EwqP4 zML65jQ!{T+(O{^i@s*V-+T05N??+`MMx{VfH>Dz^m*QsC_&_RXL+ z<|Z%CM#-@^MaJ6m@+>gy)kB&tAp=R8Axa&%xo5oIdQd9SxJik5qOl`J92qAH2@s$4 zpqkd`w%Zs4n!oAi=wWT|dt)iVE?gMKd&$~3BHhsmcpb z)nogiE@&<)n`LT)h99B5_CTueiY79Pk1PLkZ(F0bnQP8hOC~3+wW%}jiUGf@?`N|3 z!tA{Jjha5Je@3`(J(P_jfnl~XSSQZ{cw1NB4E{Uwd}ipL0R0h}pPTJaxG4-6uL|!e z&;jTqR$Fy(gwdv`gedK0KH6h#J<1!aPkb=G$2O2?ej;D+oYH-MD$y%!07fszs{`vk zr#jSWzV}AFO-W8a=npvZF{{%#>f#pmjYg`&A$9DAeJhU+El)@Rs8p3`mXywaq2Xvg zS<}o`N5wi#b3$1(?4+wbcshVHh8hmw;qTiYN&>*T_$q?UW6saf(8AaZ_~IEvU@96XxRjQ& zjEeY*Lzc3gzF2(`C7pXtbsAQiWq6x?pUac}B8ah|#j>0YLtAODFUt@e#M9Ef0g)Au z2&ipNz|(l2Sqsu{O`2viXS(TM$mVy3?RriGh>iP|no6v@Fe95_Nep}53AEC941bKqvmxYXPp{nViII(`;yNu_3)ddXeJrtzpqSOgn74YIk#b-}Zf> zB3--An;s#dW|oyYaN$ek7q)HLeJ;AdY-A)j`mC=G-zBcf6P3J`=ZB)@f_Xb45e3i8 zpIjf|TMj?nPAGT4fNPk%&UmqV(aJ~r1YVpW;cH~=tQGXauD0Epw!~k?o8dX?cwewj zomr1$ZQt7H`HI?8^Jcxza5FknP?RH*@oA8T$`yoocHDrPtahEYyRtC*PMBUBKF6;v z#9UJWuAt8+(j;Q2;Uo+d^A{F$5nR2TF7!dD5%92E&5@O$V4*Xmg1wX}`0?^f!>lXj zS5As*|xox18-m9T}p zK4b_}>%-W-BFAlT0ZE$tgDmoV=Xv0BNzV>XL(gE(RnOgR#{FwQgnwMvZ`?PgyG|!a zM@v^qS9|(v$hB6^R-2F?A!SjKQ4W#Nvt-^I5K~DOP@fD|y6LV8)K$j9Y0#d~%ZYpq z(Utt*;yK0)t(4IQmw?YhLVGW~p`CB&4HX~Y*5g)*po=)K!#?ydr4@sUwj2}>6h9^2 za4pk<*Sy`zrE;lu|F#P*9sA+7PiKe&$8F==L&&X?(iHLcH67o^tv9Vd)|V{Y>-WJr zV>@dnkZwa6cLW?>wluvz3JlB*?8@#%48Cm!zkN3Hl`f)#3F+dL?xrH|Ay<0u`uz6D zSc}Dq_vm*Xo&xPh+7Ugu9vxeITjv&{>X+&X*2^~eSms)IZ6nsm&BiU-EAW7Z)rU1h z{b6TN;bZ6G1?7Hc+Ywu#GM2LU80T+V-^6fj6a5WsUIU>s9G{I>i671SWyWgXxxMb6 z!Uca6^R4oY`3e1bp4yUn(r@1Hu~KJqg1?V)UKXwLJ7v~@-T>8>8-jQZ`>t;>4O^!d zPA#|v2MqWPtY+`Nifl~`_7R9?WIa{J=zA8yVR+{4OTXv#-2sWTWkQWYJwog76u4%N zXD(MRM^0+4U8j3ze5VGo)WNL7Hhd_IqmA5&oXwq0ohjtmzcyKqS7=epmi@FZG^^?n zA#rWQJgsSOkG)+aO+=mj?E~-w@dxX2*=clr+k<}j)!K!1m^FztjtqJnJuYtjHE=;+ zxc*YYDQf4xYVmD2ixlK-G6z&&}*$ba;Vm=E zU2K{Cdavip{XV+fkZ_-5AGrg5sG7_--`@S_^_sbls}@`Df4aZuA4cQT8{OM0{zx2E ziZ96{Z`!|V>G|mHJM^IgQ-Uk3P2xWhDjdr1o4U8U)2bZm^+$Phm5=kDjSGEsZXU;y z^_1MZgh7$j=w*JzbM95Oo%w~cUOnr(0z)@UiPoRp#~5Ed$l=J;o6k&BOdu~UF3t@h z8?`;x(;nO)mI7bkHZTKYTMOR(>5IE7H$A3y4xgRsQC!~H*;fdFWnCzATD|7BkS$Mp|VuFqL-sT z2iH*Rq|xmkX1rxiwn;AxeTmcJ%Pv0~lHE8Y>(`&HU%i=p|I7EY+h5lTBlR=y)9eOq z9sCQm<^IM{roXI6RV>BzLt`mkwEF}eW#8E6$A`uM$Iuj80D2$6hl8;dri6$V)E>0MfI{-*R zV;m`x3j#^NVF5q~0_r%Bl8HbfDV8P^&=E~(MMM(;KnX04{x1zGM|tr4mnH+Dyqo^F27-Y9 zl?#H%{Y#UUg8W;9%KT#%5&?n6pa>L$9RM^&d!i`!1pqa%PB_Zz?06qQBOHzdpcMIY YH$)PGK>D>AX&D(PlZc3_z8cg208+H0D*ylh literal 0 HcmV?d00001 diff --git a/simulations/figures_sim/figure_toe_corr0.5_MSE.pdf b/simulations/figures_sim/figure_toe_corr0.5_MSE.pdf new file mode 100644 index 0000000000000000000000000000000000000000..62c09a56cd92cdf8eb84686fc966507d9f60f39d GIT binary patch literal 5972 zcmZ{oc|4Ts`^S}#k!(q#3{v(nW8bnb5whv)K22PbmAoDh=AO$oWibbH1icl;Z$f+m+5r7B?2tmMLVX!DfgbM)DKw1C4-}Dez2Yi+e zPz4QjvO~ZyKrI~B35Ug}JwT(ZaWFWV@KumsgddF8e$_$|Brd?+y8t-Sns5rpU#9_r z^xU1`K#&3y3w1!*0znU;wr~tk5Fele{BMHjzY+*>glIGziTyJiq<}(V@k{mKS z2aZAE&@lXdLjTy05b(Pl_u)uetQ`;{ASeg~DI*-P_#1$f9q`Rjgu_tQaKgDUSbWbM z0d8p>CVeP+QR?RA<~9|v(fy+j(g9ht+(nLT`+j11)Oruva@~u$_sh4A?4=u~_FttE zkwv8?8xJJ<-h9mRlHt;%%E94$4eI1EIltmfy_c&psWzgC8&n6Y+l#A*nVBzZ3W?`f zNOBif9XVvAQ&}^mz3G3hO*V&4ppq=NF1J|BH9sa(rFbKSedYsMxg%ZU&(&>iIg5rT zjmD_g=4Q>wsVR3BS!$i0r5pz^jg2zU?e7*!J8e$wpKEc-?%i8+GU&48oyZyLeFIh{ zF_VLF?sf?rSlCRYP>j{?Ch(GFkZC;Y#k5ghISdh45+CaH_{uwUXMjC0q}J%*GcNgF z<{O&stF`3B;sY0_)Gylrml;_DWh1Vwz}2n^6tr1cx1NttR){DUnMqk7?JKp?WLJqP zo4c;xqTMkRo{=H^Aws(ujY_U z3CnVBb#WZJTb~p$cbH`#so6OkXI1%HOa}arG-vV!pZJ}ki!aj1Efr=ysb>k>M{0Dw zyKO3;lmw!jIAiWzZ6MKT%?-4qOA8P+)6`ny%210PQaQ07%sBOq96a4Tr$x-ArmLN} zN~uN6r%tZ&c0_i4I9Wnym&)zBs=1mW^S01nPXhXq+jTpH8tyuNH7(?9xoLGqMC4l+0xE0+>y>Y%t+F_N%N4v(RXi^ZDh&=^cxT*5I zvFS^xP;E}i_CCn~Jr3;N5K?us=M$YyZw*ggi7fYc?Iwk{-)NgGu-fTTtcloF*6M9T zRlW^Mo%INM{7b3BqY^yYGX$(&(_^h(8wKj0yA6FV+nX?#-lnEq1*p2u73iGr*K^5T zjqzoH|2RA6h`y?R?XqP;urqtFMH#~;*Qjx~MopP6(adA$B$Q@2STFccQ9J~i`C{F{ zJU{zJvg-%p$}iRrLD}0cgje9wWx@L|sTiW3#CVE}*9UA&2Ut91UmDJM0kK!tq=?{( zyAoLWIxDap0vMPM@F=S2jFa(rZMk%ML=DLs60}$EpW};-s7wkq1?tb=rhF79;94?j z#`d`}ftAKgs-7aphn!08;|mWaQ$d`?>Dhd@yN*m7mPt4MNSuvE(s!V3a9cwmWdWL8 zQnIwVYk#mZk-5F?`MzJ~W=6V95;T5X^(XB4eIDdm&(=PjrBW=n*%~J`yOwkmF5Z41 zVsRpAT&Ltt^Ms*JuNO8t{!yAfmDR_*j8$L9r-%+i^Y4vKIz|a@-lFBo{T|nL5ANzx zjxjG-4>v};vLqLbnYmZBBs1RRL!Zgb@&cYVS;pRpl+UNSw%3spt3q|{iN#oFZEQ=) zl@yUOvM#js+g;7&Z6T*9maq2~+#lO&#^185xE+CeJeI4}Y$UW4%2dzYmtW4XI&D?D zlXb&z8d{2-cFLz5S1UX-n0|;~AiZ1M6nNX-m-!Ko^PD?SVtx^=G+7oKII*hw{Qz9< zm_-|}Z5Za_&z&w3Y)4l#jL-@@@Z(N@9duLR3$47wjBC5uLSIXRYW`CT9sI(Wg?3`+HKM&NiHC84-pcU3{swQiH~8@( z^|mC;=b_PkZ$SF=Q|DF6xho`#<&4bM`J!qeZa389(5cpnbW*H2c_|*NK1HDdS`ynM zq+U6%f1IQrcotB7Je2G^R75o%BG$c4vy`0g-%#-$Ns3K7GQ-()Bgr>ePkYJpI$OoeK01=MQtRSvhQ?1r z)Eo{H1I;tBQx+^f9i=MPon>i_botL7&cyR8Oph$?FE6gX-3(nUjO01!?O4TbwDw6S zCbqS+2tL`*G&fH}%DjP>^P`%-)Elv1*P1w+e#V^)burr6&;10t+bC&Kx%`+Wa4L7P z@AK-x4wK6dE6V8_qKXtE=afK$9XZYUbmH~Syx#ANlRgT3{4x){YtJ4_OV7@jS(vvA zh1J!SP0af)s56P-dF9Vv|DWVS0Fyt!;WxSb0W2VOgf#|e3M7Dv4$vGAG$A;aH$42oG`i3UD{9IRK=L=Nh1t z6i68Y1QRy-MMfYcH>`>-mcVdQQiSdBB^^*`T_-5)mjc4*sK^6_e~15_ zf`U901Gff>5TeX~(-~p)`;Kx196}O`fE3{_2pF8ODM%AfT%h0FB#gh(|HVy&GyTO) z>CasCbf>O{4m653K8T}^NEo!Y(>bq7*{J%2pBqe0t=1At#3rJs=cK6pq~IcibIvbU z;YkHsMDRK7iuDVOilfd>SD2pNvo2-)^u~RwFZC14p^trL_9Zt{0#fEdJMzVVuR9VEl4 z#CIVL5+GVS(6tA+qmKOBIY>nj%D;aWnj1 zFuK+be6To9NC4lWJJFnK_rvXBkkR`Ax?ZY|{`V&Qw6_Yw7;l^DhD68HMa~ZlXe>u| zycf7E8qK}{o=j#mW}ZhA*$kW-UvYP2e8na?DJCu^;K=9L#5w9~ewrG0=<>`W$oDIw zBFoX+14Ex=N}`tq@an1KP)7tkk@@<$2MuSTeU>1ih*wRx%ihj6>%A;=+820jd7jVA zn5m!3wC4h?Y#nD__EmW3HK5b=c{$Fo3(l6{xqvIN=M;eqSNy88t|bJNTHYxl z#bwb51&TOb!}`PKgv7}B{d+Ah%$(B^xSZj~wGDVLOC1#4MNO|0iUlfkF~15nie*|N zCQ+byz?^WALqT5kJiY9CmQE3KNyu8Z&5G#?C-!s_wI`(EBOI?KOlfo|3E2K(F;0N~;D0*1vgBNn1WgBFRK(=LWJd&U`&tXS2oN_9lWtpxk9ric1%wim<@{p$6WKh&wQJ{ z@_Z#@CDTZZcrfF;C}=^2(F=)jW<1t(pkG=!fL{YVsXb{uNhD*u1KAg_POrrtnn`Jf z@wDsDnK<2XGIXM=Wqd$Xy8}N`_M-B+C=-*(%1IYRUKXS(&kg0vjvG`K zQ?FHble1-d_8iDcM%GOk9 zDdYRI^2pnnte@^QYiDsAabMuvzGA>L%8BJR({?KeGZfO>(=&UKRBn{*rs%A?Q%q~o ztr}k1u5FU9my6X~4H>S2=uat&>xnD4SE3`ok$hIU!rKwHpfIl;!Fj@I%L&s9D$#=L z){WvumDh~d#3&U63rGfa5cyRoyTB?g`iO{hwJNm?wdfvadafJUOhd#gt9y`R=rQhC zQlC#>OTTID_L#^RPf7XMmm>F~oiVl1=`rQe*7#)E|WgxG})?Y@pM52lR|kAEBK87>)?$lcdVE!)gaFKJXb z2|CETtlz1jl2xg&oYxNv0lbZW(qCk~2QI)0{3E_Qv<*j+hSx9+wRJ2u;$Tb|JG{ivgvOvEmQn<-p zUc_0{*k;%g-FF4n1JMxt=;$$ZNu*L#9sC^31PSfC@t)*MLtiN0;8o45@{y#GO!sL= z;*;Mxz++5?`2zVU_!@XKjTwzPOdTuNYL4w3QR&E!cHW&KR&;i{b|bLe=cUPf6R+PL zOq+c(`&9RQ*=4{RX^ZTv`2cer$#}$K)!f=N@gp!WH?S+a4>~;50v@Uu-yw~B2Y@-+ zq`S&Xx{H^(NPO8FpK3MU@S6P2z)+x`q8{0s>;7){X!rVZblqAV+HBoCA9<-pv8EBJ z<7)02;~98DOyy0Lp%UL2R9I|VvMe`XYcX!YR(`pB!ol`H?SKo_{$Ze@-E%N>f$p>J zCgzjjfap}sm}}3#EGqaDmv5DC>`#%OOy^9_&G>!sE0*nSdFt;imzPB%Hzr3F&=;W8 zD$VMoYT0!V+ptTyOtI`595CoNxS4&}7WMX7us2H#ITb}Yx$iY7oi_DQvtPYscfd1} za<)dcUbZd8WW{?q9=Y_nbUCTH4?EpD6FOC4rB;UTEFwn2=-P3eu*KZP)P+KZW8RrM zC#lxE*<$m@Y>P_nk^H>lMrln)N3@?E;yAa#fEaqwu(JJikekLgPc`0hjdc zMrq>2CrQqFsx$@UCy;8vT}Wu<`^t#Qyxz3LO*0V=0Ie`wVJh-fLx<4Rz^Grl;wuYC z%HlKK_}$y05{If8=nMgrW!=;_jov%oymy-|{7qWThfK3fU%s})<}ddg>kpRXKld

    nM$$(pb%=`8Iuv~fo93Jp zt3`Y*DA8b1cjI7CFIDGJ`-J*}Y&v?{XZZA?_jFtp{N?*>hXI542J_?VA7*N9a2oOt zfLK1^vso}b z(cs=tzOgeoVo<1WXmW@wx7_OUXg=;I%?*k0PVyE%xhbM7df?l4TwixDx43Hct_k-D4{)TpCjfdV|__7@XQ&_8LfEJ=~CSpWQ#Lpy+3av9LDZ zs9$m_#-5R|y7mNW zR<)M3vAf~>iotQ|at#JKFk_5i@UB_P7;cO>NjYTl5jv|dUjs_tU6YpBwrmZQgw0gk zk%9l*^Lewv`W@O4)UUY9{z0Ylw)Y*7jKz`L>Amsz@nO*J$-hur{4Wdz{Am&@A@P130*QAC3E2AIl_3Hthr}R$3jmNJ!o~)U zcLoX8pD9pC803gR;xIsQ5s)(ug@rr7ZLk2akPyfkg*P)X7z7Yxi-x-385at}5l|O~ zK*Mm3HV$w%AP9?au*OS{P#7A81cI#4a6%wH6AFXj%|-yo8i6l`L12I&ek2NO4YvV; z(7z4|!;`;*1N3jY9S&&=MdKVDpg1fLgtA2;;r94y&|f=a2;^@5H<$Dm>;DGvKWx%p zlK@B;XNCRcni53(h@lB}#2*Pi9sKIcA2F(M2NyUN0fPcSzxx6tboB48sv8<^0}ud$ z!2p539-xS@u%Ix|2Kbi-!F$Jq2Z;Pj1B>A2p#Rk%g5vnu=O3Do7=B#&hbAnJcYpt( zi9ql}$^U8s5b(d^1R(#;6&8g2tA?LQB<0MAOxffgainoDbl3~gkB|t0FjVD5|mz~S80ND=^!E^B2opZ z(xoY&Qj{)5dQ(s0u6y?EzHh$d_uT(^X6Bhs*W3aIY8v8T32A^p&}`7>pn;%aYdio9 zlmz1JZvhk)0U%X83PD8Uuxbb*3Mi~550QjON=ie(U>UG1L`DPv(!)9Yzu%0}L=5Q` z9H@y$xH+Sd1faeL(anQMx@LgKId~vZc=A^%38(~^r2VReBTFKHD^~z0tOL0V$Y0$6 zLB?KgC?H4`K}2A1PC$?W!U;tHN|6HK!2e#5{nrI@961_~!V>=s2dUz)MADG}g#Ee> zf};pH4?L2TPx>GE$N|5{p^L&g5uJe$Fhm9j(m-Q~q!)lRFr?wAp^!KS6uEB#ku)<` zfM;fVx(<#@_H^L-(dBt|o=3~y7r`2Ep!3}q&_UJs;H38@R5<8Po$$oXoA7&#GTEcv z9XIe#PnQcvCYR_l$=G|!M9d6tyqmAV9m%?Ncxf9y{gxA3JJ~aHZ)R)0^ZWYMt2|e} z%2N7&q0-yq(f+nHuKR6#iSu}r;V0%(6X*Vh`=v0mjXm@wd%6nQtS3454$&?A$y)QT zr&*Km@e^Q?HIXihK$Y~oyN%0cog)jqC6BJ;l;ot}9&~1Z!O1H#3~|Ciooda6TN+B{ zvkiRjdQPUKLn)A8c7%QexbhG#EcqO8hX zOxjdy_7aQ$$lasV0CR6*FoYY2ux#_M{HN^2Zpgv89xBJRi)coL#=~wFDmq0{c+%8N zbJ{T#XhbjacFa%|xKsMA8u)GiM4g#|6|6;ZLaExfk^r_(A8Iq;p1RK&V>*R|wtGb_ zRjuYxrM!7?(^<>GvBC@K^qMXwpF~&^Zo@j03r%8BulG)0r_#MeJ&^pB!(K^xgq=w_ zI-A$Da`1G@U>N;JDSp^UhG~#S!-_?sZ;&ZCo#U-kyN}@H%-tKr0hZ?Qh38?^Oz#J! z)K4nNOzBvQU$lBQ#r;^yDQ23RZHdWcF!wR0&%JjJe0iG{5{Ov&Hd+2t>&N_yQ-OsB zx&{;rn+eSpf#+Uou~4%`Moo)>Aut^-2e%Z^x&B$!*M*%bGegKiw*+B!2`1K7_2Snv zc}8=jBan1#qcm6*jU=SJW;v{C02GL^QY|P3dLwrx#Bv-0%o`0wmP@xb!A-Qo_Mh5}TbUmwL~kpE9IZ zJukji%NXJmnb2!73rwr>|oEELdOGqejkdSAEuw{w_TcKhu08cHa@fm{zqplBATKrLdx|%^A8>Nxe{6 zWy`PiAgp%`Jf)O+9mZWp3yJ&oV?w{xcQHi91@N@L#;(J(zNp!>Xrew;^TMvKyW7wX zoljb|fETsWeyhb(Tr`dK1nPx3o~Q9nv!b2uAoCHYW&eewhEx@fl#FEsj<2W*@haLE z5Q(#^V4Ciz`Z}nYa;??R1cQFpdj_=07XWkCwz-+qCzGSwPR@xL=4J|rCMUIB6Lvaa z?7rThQo9XPk=rxRwdU6lc8UbdI)l4S+brjQV#<9XILKNd|{le7i|IqAI>ed3wN zerPg~EZxh(7Jpm62LP>vez?RyC~^Tb=Q8Y5TrFHqw`a|s;1muTv$0ClG!Q&C&ex(~pNPoub@=MM%^{rT2vuL7_Z<7tPSP7?YYG6P0kli+qk(w`f<;y;ev5ve|Tq zt5J3DwtuWlZYw^RvY+L>J=xG3U;MyYo5!(BM^~b79kR_U$R@iEF}EEF_u^$Pn;jY1 zUZh@nIo@JhFuZLHvu|xocS~zYyXeAX$yEmUL{aQMu@qd^VN`ajzOa9Lr>IWNrzd1^ z8pN=hg1>N7SosNlL-m#PNJdXa*E;i!mj+OcQnOxI6J6weBZ=uama%>>EyH!()dhh# zB(*_wa^{mIcrP$ z^Y%S$DZ6m5J?~znZd`wy4f0L!0n18Q;Mp^!Po#U6XSb4MYd0x@o!v~IPfD2GKIPNV z<QZiMR=O3#|^ieF+vKD;kgrl6s%ApNY%tpoOiTTNxWa{}C>zNV`0 z##_0f7Ah~JKO3k#|D3V;TK-s`uZezkzv;l|=*Q;m_cjbpY?C0_)T1Rk&|(5{i)zV6 zxac_WY?Vsqm4P*hPdBHmr@q&p&Z4_&5up$9H7ZBKLJ0o8!l)`5ycD z`)Zgz?yilcg35zt(~0z$;`-Ipk3SCAy!Q@f9rx$#Urp_}ZFQ{)#J6}({EW_s{{C?% ze5P;i3eFQ~B}w`wB?kpc zK_zYe#!Y1I`OP^bJVP3xh(Ie42@pvYP@Y5^07!$xOh83NkOl+@CMWqtT_AN&qNWj% z%!i7KCRY4F?4nQb5%H}uukx#$h zc#Vu&SaK1N8tOJ0i6SQj-5}8%=r@zeke>8^F&Vk1znCm5<&Lq@`1$aGM%hM##B))} zgD%c+N-c&)tpo{CF#S30=6DJ|sG6~xnqflGNr>=tV7_WXC0|tN3B$@2Y7Vs#cQ+Q! zlwOthJbV5wIgJA!o!0%v>L}umgK1vtn$riK&NXM5S!j=ljdrr5J8^o0 zf(k=1?N(K#a(-WfGL6#reGDdzd7rJZ?hNqYNObsWObf-&oa9;yJ}`yBgP4WQ{c&p! zwl^>(vrK^+{WlL@NbB`WYWMS5+=ZAX5jMrFe0S4OXXUmaA&MM5g#KC7#+MI5pJU~i znqm^{IM^0W?$<(^1d+kS>tV_rxG$9)zBiy0!igUw<_Sg)7;$8xFyyZIXD^Crtv5F} zhCt@M1I#^V+xvShC7Ae&BRB-DjlyD+n4@O~2J{x9+j}L?$i`lp1;0<@u;7}(Q#cMB zTd;V!ay;Wxcn_0-CQT(wc|Rw8|7`1zg7Mmv$ccT%!4z}KLf#9?{@fJ8qKrU#ABW3>>wc#?G^q~y zqTi-H$T}Lh`@_%drS6Ze^ZWsENKG}!OD4nquj$8@l+r*7b!Dn$WzIz^=4R>_&5SQ8 z&Q4QNUK5U>cDDmh-(`tEp$24Q39Np|o_x35PN;;|;~}GTFw~8m7=)abhS5m`_1IB= zI02VDlN~6s0q9je7ZTcajujqG1gds%JqtCD=lnuNqsnN&m3&e_RYi-ERe9whyoBpf z*mADpqSc}>@j@L1gKEt~LuaN#R&TmXlJrF_mQNWmG*x!`u#<5iY%Om#ATS<@yEV=C z-Kc!et%c~frcN`O1Fi-YGX|bxl+TNnWIX>`LnXnJpPrGoES{-=60JND&t1S%8>N*{ z+-1c=tF8_<&`mzo&BGcxo0pPnnhVW;WJqU_RdQv-WJLHDV24pp!zHipZT}(#QB0mA zD_TOs>|w^>#l@;c#%{E5fk|&P9M0kuEp$JrU?^el=nlQ!NqwtoDe!aUbg&0XtTDUoO5-^lPtP3fJ|sbOXG19XVXms?-o!pgo8&$!0*aIIw~%7rg{7z>f< zlfEQv=Daq{HJCXzG`2b1J@jZuK7YqJ4n)}uz%qmbQ#GbWvSnh&c~7Yh23VSv`8 zg#HqTZEz7$#^bw(K;2GVaGjKQhqs}3sQ0S(-ZuTA*mwT#7Y`c`jcDa*d1+~A%V}#E zzJ-akvb5TSeGjXMjfu67fwFsWC_zl6&PevlVr80KRG{v%7LG%9_&ye7H$+eBqpSD$ zX=s(K4!8`=2?_7J*h@2C-xn@Ec>czDm1x>%PF<$qq_kEHD$a69JXrjcc)eJT1&4XN zm21^<&7rd^E(`n7*{?Iqp4r*Rc^J7>R-PvQ?nTG$g!QKNRBhS9?Eycm6SlKv5_xAh z`xcM=tCpsBKZ1kvgS&G35JPX9!EY z;(tPaa-Og}@gZGM=%?nd;2P|&hE|K6q*XYM!p`tb+t6L>v`V!toh7& z8TmImJv);-wUFiZW*xRs!x7AF9-YX~`JXdpi`fpvKGeD?wp_`D%^dQ5R`-gQ5F0bk zY}(&vY8S{9&}4cW362zxT$jtur0w4x3M{PFDSnArlUQTUro++U64$#y3;O)Eg7<}# zv~TNu%2rI9&4wpz8aJOeK9ya3SUgtPbmNrXWX`ULl3=3}RcgWmcVjKaBKjjpwbT|Q zysEbMKdWz-9v>J9Y*Tw?3rYW+VwAKcC@a6Gm5tAq#M#x3 zZ|e03ZTfA!vJJ9qv3YCt(CX<6J7VEN_o2z)qrx(8vy}=7OQog`TwhRiNHy9eK=`?Y z7|6F)!qG-Q!Sro}>+kB+ARn@+jTW$h{4 zJho~7exKR>n|>3C&rwf%b1?&^y{0o`E0Z5;E()7T41jnhxt}!>=#ZLk;!+h-zcv^k z%nWOypXxl*vE;BGw?P?HS1M3KW%_U|zQVBsY40 zNMJQ?h5O0{&*wFrg~gwJde--NhLubS)^ncY^sgiHm~(E-=VV^F@3FkJ^ko>?sN=n! z8L31l2Q}a}FoWY;3%&zcOM73hdVShCt~}Mx7H8{V^R@1aTPdO0|KVr4BOZC$i?j;i zT;X*f1)DXFY+2vgsH6MCW{nlu_2=DIhq{gvW>yT};XY}-e90baj5f?5VUhO$(H_#TwsmPz zvs2Jd2z1qU-}CtTSW;SX`_;=ot&e)YjNf_Xc?^+cRgn2%y?s1fk#V!+)%%}AYp8YN z`|a;$92JhXsSSn!glX{=*Przd?l4Q$u2-&KzWTs_@qm5%+gfpqevUuYUdYzbzffE5 zFAN3zX+WxDNnRfsOL8E|*!tg-85(;HOF;h?03bEAqa%vsI+ATgE1XoX^;bsWRwyJXwv?UN8BbcE&}O6MqMNtkMwYL#GpKZAR-#$K$2V$ zNIVV;1li+J8dwWV`#a~*`JVIpeXeV+xt{lPKhJ$X_g}C3EpbU#UluH<2#^S$4WA1qhYvdX z0KhMF<$I1XhM9NdrKp7`Oj-&l-tG zQBPR{4SZl&Pb3@%G$-J(1U&WFB_E6%0gmvY?JCGY<-k8ej?h?*Zk19iYY0qJ0o({GZ_<9Sj;zUE+W$ zzm9_}5jYIN2Tr|D@gMim0)Dr{1cCOzdjcWyD#}2RJ`#nez5t|;qBcht0mrx@Xm#W8 z)Sh_(h#Bqn#uy=Gwx+eR2YI+BXO>EYc}_7#NP3=N&^)YK+jrd5#lvd+LihpYwm4EZ z@!j#YXI3H_)h0%>#@U8_&FcYSGn?x>pKE^ZcqD6gZ}kr(zM4>}pJESXy9zx&wSTa= zIkWH1uxqZmK2P!&eMPK^-Cu2Ypp=OmjJ^CR-!(JG6!UI()1P6E2?Nb6$u{3W%4%5N zS@&kK4HLTaRlDUReSVzL(fx~uwhOMx+yF%n+XSidoR|F)iS?;{Pj~pe_)(DZ8blDQ zj5(`$>ultq(_#+5TQ_p6oL!am4V~%+lf9VjwOq#Y!EhEM&uT4U1%DZqR@*MPtGw;u zbT9wA24`-L0AJt^xrh~Vi8G(ZKj=cXbpbQ6?vLh0;ab^7v004FyOm7(KkcR0%iNg6 zpPeu|?DXLAi?fGc(`q$^hMy4b#az)u{YCby+_tBI;= z?&nCNuA@`v01UG0E7^6o ztvfj;qa`nbFJv=Wp>4o`N9VYln3TYNsK#OKiggVXxM?pXsf+7)SZnQTCAAdx?jw`H z45+}PNvj0T!sA$GcJDyKMPGNTevc!CBVuo%O9rN$wS`Aw%DjdQK+*lfjIh4fE00eM z4ogJqHY6;%N)z>Vdw;xU94|iN9GYu!wI$-}9o=;3(xCt1^6f|W%~@Y>{ouZfO{CC+ zm=>0}59N9kCmfN@I3usLc7?uh^1H!nq;p`zpn#qto0&r6Yox0S_Mz&T49TRx8O2R= z?8DKs8TU?}Rw1d|s>llQWVj~*3iS$D%_>az%h*rKRW^*rXQeATC_*h-Y=04P4@HL#fIt$`V>I>*MdC}PYIL8yjEboNK;4UY9 zET4Toxn(^jf7Z3XvA&GWH50wnsW5FYB-A|Nc3W;V3*sp{T(G%YvlJN9+(|BD9@l<) zkGNMX{**Gc5AUH=`i5I4N+jC6EH&R^wNzjLt?+anE=rp_=sx$A-;lKOtdgvL%urVS z#rtzOUPD=-XSHMqpP?+o#&9@}qx#r_f7iO%^~1^bx$~kP%_=c~ZvQU9{`mJcF^Y~+ z)`^|;y`sqvqvxd`UU_mx$=(WjnK|xO71OlCys<{D7fdjEsX+U9OJ6U*xJ_c=TB;1G z${XJi@ZM9SE_aeiAzh9Q+50>QPT!lDxO^?rbKbEb@iFhqLQ}wzro@7tXN5<7Mmy*} z$n>Cgu0`@|XB7G#tAGE&`-T@w4x{!?QxAAz8|Jzb-^`VtPl9^qhV{$!ojEZi*}HTw z(QMo)ohvr^y(w%-hbXWvIksF;ZM9?mYEcvi91o4|z{&w)KYZ z^v`^PbUSDJT~#3Q)bGD{mGLcocwb08|bP~0lo>;^+!VT8EsMEVUo*(oeRQYRt5h*-urjiP)gx|6x!YbR_xO&-jDW53@L zSo*Tle&OY(Zii>led?tzTd9i~O58z#d(l9#5WA$M>GSTnFx8myWk>eQj%U8}o&#m( ztfUrz+fH1F?%UIT$zi?lQnqbeE4r^i`_=+(X~D3rd)~-kW>PKtY`|RU$ahD7MLi-Q z`@W^p-s2)i|9ol!?5F5!xtsNO-xWpo^^6#7)iEjE8$BCTY6114#yebWylHdpo!s4( z;-HWft^wZ9c)@}a4!YA1Ss>gG2TceI)*{kco=;V=Pa*KDNd@)lF>0%vE?mpk2IGQH z-lk~kmdJ`95LoiekBT378|J_B<@yPY5($s}Ztvc6$7Ak#*hm19&CIG!cwvt1#nd>) zE)-oBJK4Uzy0WzVY1#t|_ut zy*x%u_Iv11F7oB3x^ZlDO@#ob1g?#VpEdiWX_JbdOEX!= zZMgbNL42Xu^pPJ1zQR`W(x94tiHjhFNbD5cA@m^*$r`jSmGyr)Ph~Kj&>#v;O9IkG_#)v5+NB^fDyM;d)0PtT zN&gpZ(Q5jOwleSeSzC=AizPQIH(t8U8Gon$x~JtK!=sIcDRO7Ptei&8$#h~+U2Cka zMM?n+MCwCWo=!@+SbQ|SMfvh!LERy5EbobX7u`w(r(gQ7k5}&&8DE=RW({M@z05l^-yWBk;Nikd&$dp-fTH_=t*FpGwyS?A?NHF@O;j4sE`MV^ zJMjD7nZffnTj+jf->JJI2By38;O6|s?wF$>{~Hxey9|jM^EVHw6;1o(jrzo{L_lm) zaT_uYLEC8v4%JOal!jmru5T8x{&C{;T%sy>)6EnYLH>D`-8x8y-F-EHc^RZko z$P7v+b$deYGtSBlB@4eT1&NTI^QZe@_~z>RThQfRGEWajdta};9QUchI6+BAtC+-8 zo`e}P*>paky;q)HIZ=ETJenqWMQFx{&Yiq}h1cIp@P(NAsEVqJyqBz3lhjbC(|-Ex z9p8J-QK74Xx+1%++jb#oN9mpyAgabFv0g|%I;Um&OAS9_NiHC|_!mtC_F!+}`XFb^ zwpkgEv&9n=j>h!a*QG%VYm{vEP@StmWXq<>wNEhOW~$0dzX5(d&9WbTn84ub7!O%A$_oeE8Y8|Xr6 zxh?uu9`4&8QUucJX)!EmomgPtX+B)t%vDRr@qyvc1*y2h-Y(z|5xmLtx3LjHsF8n4q zNg&ijNRqGOP=#Q{iNPe*Xu*z~u!8c-&(ubQmgA4M`#g6=fvW+5oPpedjOt0jk>ay> zY_-Z&M-8*Mvu!pX?6Ie@c37TT!I#`qoNG5Z+BesGz9M$@gE&H1&L?GyO7YxeEsZkN zJ_D1@z1^>`Vq9xXyl{&9Tbx-N_EA`E%;k$3x*Fy}5={~ohVG}J(&48>y+ps9&J>#z zYXqjg(RbtU(YRtVrHz)%7M(u*$|C2?e9Wl80zjzR%rza=ui65|OOnIT;j>T6hCe^?fAV$MXz2a0{?JsB!cg$g;80DGU(xiS z7V-fy>iWlPD+4OUU-9f-Nj*ZV8Mjqq=O;#@lt_x=iguo>gF^ioBX37G2D{%reXExD z%{smGOK#@VMxDK=?Z@mkou&pk6*}{e``|Hv*3^`~CvIEd0=yF82SK9#TYY4`LO@4= zML=}Gmw=ruR*KAzQ$J2p8YxyxYD}U`j7%j=HAlb3$h7jdI>r2mDNDSW=z0?>KoHb~ z*ebBg_bH>5nyza@y_K)Hzjg5;@xr?yrV5i@0b^{?3T0z(G57=|mUOb0@pA(yR<{3` z*)i<|ri2qF+=HoUttdp2{ae{c*(0(IGTB!IFSk2*RV>v|JiRcP=t)rLI(iu<(}!Mt?sW{;;Z&~YhU@3eGt1q}|JF@av&9GlLc?uIfEgf1Jn*0;`^8~#;{Y2R3up+I_=DXp+7ar#@ zUKqZ>5kZR3Ytar{yp%Xrr zHVC+1t{Zl8u@S_fsBtTN`o}ue)qokdN;bK@7r_JWRMPKZlYRZGDHqi=?Z zcBX+P?q3StziaSsC|mhDI%r#HV`smEE^}EU1-zp4G3CX?2R{f_-4llDD{qIADD`z0 z^NK1LTSI0-7Q^Ehf=NjvlI%lSL!*DYda!?nzlH{ zPsB0S*Eb&VWSf1?&Nz3Mu(Y`NaS+~U9I%#gLlaj5dWl&_^^a}N2az)ucUI2(Pkq}j zKhnpa(vc)^hlwqxC3$~P!`5GLWJaGlbA6)Y>>uqEF-ou>}A&NiBotA)_=aw|p z)?Hd6)!`H6r_UpPZiT#D5d98okLuIi6dyO}lng!%I`6zo+`l-InpW6;{_Ic3z21*w zey@o85P3dzr31&U{lT*It505y{(QTNSi_HQ{jd`(b9cV~(jpZ1L3Y{eXTt+O9)-HK z^0l+)AA~G?7ufo`T6ohuJA`2;YIE;jsIB@Jh64Vy7WL3n7Y~W1dW$q{{qM>SiN1iw zA%6=1kS@~Q9YOUIX@;Q#P*Dlwg+vo@KvgKnn}ES1PzZNC0IaA8a>Gz9P#g{k1bO(t ze5s5JgA-_|3rG6E3103f1Q7_rBT;Tt$qNSe!JvU4S04l|ka`jZhf^&|0LTqVO@%|^ zfFLaR%vWJPer|MFUCB6Y+tgLzR)qD}|D`tnDNAp+%#z$4)>0O)sLfV7VO z-HRpqAlw1+Krk2}|JMhEDk&)_0o{RrX%MR8O#6W7zcetEItTr)22oV{R~$r1fjZp$ zBMz!aoiF~WDN{@PUrinYrh3c&)KveaDJdxbD~A$P;cvCzePBow!iQ>@13^~E00i~D rK+r|BJBB))(fR?h#9;71nvwmhH#j`Z2mh-xO3DxwfP{pexjx`OHY%&0 literal 0 HcmV?d00001 diff --git a/simulations/figures_sim/figure_toe_corr0.7_FN.pdf b/simulations/figures_sim/figure_toe_corr0.7_FN.pdf new file mode 100644 index 0000000000000000000000000000000000000000..3a0fe50ad30750f9eb2a7384087961b4bcc95672 GIT binary patch literal 5972 zcmZ{oc|6o>`^QDdh{zr>L@3N+583y9$xg%Oo1zP^9V`}&BOY3WEpq+|dhp;MvLq5Yx5j(7kB z2nJ$ZuK|>m0U%900!Bn(F3|sl@|wqjInP2?>j3L5lvoY z0o29Aa2_Z)0cc7h;z&gDGBZ5ZjRZ&FDQ~5vLNc|5`xFqh#X|7~-GlAWbZWNDc`=gddy1m)ZWBDrUt z0N?wq_J-JTIhKZ%Qs6**pjh{pdn#>ufaAsk=jr@U;Bl$O3ypn+&Q-L#3raU)^DFMW zbQ4vyW$;0^_^nOj#9aD$p5I(7?Jd2!eUm{-E9jBSu&P`lrgBk!3$^~{@U5xoXx#zb zs&3O9;po||erMCiN_S8&D+d;-VeD~u zb~5#Y7lRKwyRu&Aob-iJwj*#+!)G1Y&DPM}pKtlAw-)_rT&f2Uz7>8>9WD~@^9H-C zA$qiq>Tt2?4)B&U^8H=Lx7F*(M)cYA#)aMRW)}ACDDYRvV7vda#GvTSbKy}6c3a;_ zJo-7WSUWkZ8E6!5o)|M^MgnJ91;f?ixaSah+~C4ySGOkW%ZX9!S3Rp`Tbb@USm|9` zCNh_PK0|6OiZd0(8@RQ`o>0JOr>&lEa8^u%4vR9Rx#|d0+f)M7hPt{kx<1rOP>uUt zc(9rlZei(d%bR-ZLgZ_)!LoA!8F9E3f27Mits(9FH6>(Jiuv_xbgUUKsckX{=h7mk zy0)Ko#NxCbi(kAytt0iKS%3KrBvkyOn!+<3o+;zcds^i2{>ZDYbW&D%H&3kKTX@v*7C-Q0%u#M#Z!ICIj4rANZ4dYZl1!HmJ$J*X_)%))F` zMVDK6UC-o`NYqXvjRf>~lOwNl{2?;QP?n>8wY}(nnMUp;mdswqtrUCEDWcxMUXreQQQ|ka{s__>WNU_4MV8ej|ik0#IQd}UpOt#3u}kk(rAD_ide7tJ1z#I!*+$Hhb{_E1qthMhezgyRPX|ERAgon22*$124&rbfA_GwZTc zPd$#SS$a2(vN;U(wV!ZWv!b;qYLmS>N0UwdtVNOV#$objHDwHL9d4djE$_2kEAJa! zEyr6am+&!}l0Pf?$7ISe8grIou`4+wt9jR~yteG5c(@lL*F8$P;G}Jr+I5E8UnH_G zFt9RkeL0L)oY?0MKX$PhgL<-x7Hj8zx_abv!s5(_s7wU7-mR+O;zXfd z5nOJwM_qM+_4xFwHlLD|q&;(Uu6WarvTX)Zy}82=>J)GH*ivbB6FT^RkR zHe^0Z+6IB<R0dzj@(%adCI`}U ztZ=C{N7sWV8HUR2E~J_ZGebMRUu`)E-+!d+EwsPlw=gu)akuu@DIxm1J=7gBC=#{y z*B}Qjfkuw)sfDb?uFs}CW1YANktE>`669t(%j!k=p_#3bF+g%^H^CA_RV2p!+7Xv5 z{7s{i#T2e@0ZL8q2vgF!T^{Z1&pj{LlRB{nTTn4~m_0C=RvC_N*vqO6$g6s`2OAEw zd!X%Q6qrQK1on33Z+EzKtfyT$u`l4~_U6h*-paj3=c|sv4Ih?IW!1RoKzp~{y!CQ~ zsXU$y-N%|V1bD~k(s|>(Dkfj1e^iyifQ}TkTiiqyjvTxX_YW0(HVnldyOvrr^s7)O zrz*D;N9VF0%q1n}wtPBek)+e#FgkHq6QEiVhFZVU?yVbed50I2&iNv2K z52K>QV8hnI!J6j-LUuUi1yVSQ@jt3>`-gfN*Cu$o*Ddtd9ei8*wmjU*vG>#U_2g#d zD7^_NGImln zJEE}^IIBYDl|TRb|0EX*nEU|_zscnfU;!DT+z3DiAO%z`fKFtf!IH>e0s(@I5pF1$ z2G$qo04BeaR+Ixu%YmK##x@i-`OP9^go0Zlh(HGr8REzl5WYkw07!?-H9%!$kPZ|G zp=|Ptj6mAHL|scFh2fNyDcg}tqOo{O91Q+T0TC>8HGs0e)Bnp-6p2#L0i>^~sR1J( z+<}`glF=V-%9VjNrCO4>pAuPpWIgh-_=qj?}yVi8`(01oXoXl z|1#SelNj&rLVxV!DisZy>NBpaOoMYrhdPt`#%KaMlWm8qzLpvIbML~iYC;p$QO@le zJ0S>_Sw_O_kDW0`9R8l`_VCV1qs(yD+GAD&dEO!;P&>#3{vfXoNCP zH=%C|vHEpfbUIP-bVEXl3lG=qiJcl~!+Cf(Q9nwp4g2*4&kYkfDzRJRQZocgH?$=D zmKZcla@vpTvtH-b)gh2=Pd{7tsn)(8d#TgHMKL_*9WA30Q`zFb^!FRj#<%u>ndKAD zO+iL8dF=SU;Hi-P`*!Spo;)vwltvX46~La7o(*Cn!A|@4Zf$$tagGRH=Ft+^d9!5` zl*vT(ybw__wj1q<;-GR`IA&IN5Z&tnqKbRjKw=K`;;+5oY|%0$;eN4reB9CSSk85E z(A>&y4s)>P)f@d54WCxN!F<bqBn$GeVq<^7SOGn=n?&rywoah|^`a=>wC+og& zLk#G)wpMqc5zy#Pg+m8h3~i=Hl-f?t-JMf!4hzO=?!`RHr`EP^*i@9QSg8d=6tzKBfiaVh^c!z75 zn-~iJETcd#7254`eEgUNm^nK{d==26#u5?P!NOq?O$2Io@V$(*P3HYdL#xSZ#&`RK zh^B@fHHX^51B*v|Pom~?k#i1nV#G7GR7{#x56nGI?{fIlp93=#HrYRCMbnnKm@1q| zir{MMT!ktKNQG53rr~IAuq;QIzDfVgY70;eEn*E}VZD?W4`$_T*3n4u6=q-+EKWXM zK#fxSkj!5oP!p$@QqDWBDH*j{YY>st9VV8q0JQtn-N#YJR;yce#MqS2J#ygy( z7|GL?04sc9`}EQ~zJ)lZR{V2UG^7#`z!GpefL19fF#OyU5m%{j)lu0b=3>j0&-OS` zoDGhxn&;K&36_KFg%OU)3^YW%)K?BqhMHV=&LS# zdNanP1(z369c8Pptfg$qC(F} z5u6l#ZT{eb?SN+^H8^(qeA^ z&?=v3^*w5+9C~F;N6|`A)2|F4|AY3MF1ti)%#`LA^Ek0RF?TVzRm2lhgk{YLX+&q< zZeD>&Q@W6LzykHK9P1HYF3u4bmt|0HkZq9I<;5X>HkWshX72k2bQiWu+EuzDdByZf z!~FTTa&Ip_DSbQh$nVkGTZ54gZ*@i{9!rk|jtq}fJ@$D#Ijn}tKt){tdTnt~p?HnR z?3vWfw|xJWV)X3zy9n7{nR7BW9?Qdg1NYwzz56lTHS}cYQvRmZy=P0gSx@RU_ae3m zn6I=O>pm#coGs{sM*-fXru02>+kg}jWl0Alk=o7L@LFmAHh**fNdG1O?G1)qi38z- zv%B@XmUNfs1nFq$O6aPX)}kcdu)lGNI*2MwOh|N1kmDxts6efynZbSX7}3ytnQ+e153*BdQ4z-hv%5l-;8`|bwd>)D&BA>02yBmXW%ID~7>2JGmt;!5uWZ};;P}IF zvZi>}yFU=)j%ly@2=^Jzz9!)Mx~bv)VR(3cct>t8Y-q3%GWg=%8eM!F0Pcy*^3hQ8 zQ!MemG_&z;tjTWi#^_Hju0q4RhVk9`er@YJ>t|*YYvyb4jtfo?F(<3Es_HQoK2APK z0pWWzrvgu9>!!9x6g_r-GOOP2?)=VKsFb<%J=%TCU`rg^^0B|JC14RPq>kZRxQW3=I zxpZtL*R3s4sd zQ!>1)^jHfS_MjEg>(J=3p0c>Ig6{k2OOA3PfYY)F&9V5Gb*(aE{UaeQS}&cUcc<@I zrmmltzqGBFjn4*SU24XD7d9BSX>H0bca;d!MC@!@RO?v;Tj4~zY67D}b; zRT|o`y`dEm6{zdMV&zg2pc^$(NGH=2>%qHuFE)b~9O60Rv|Huns?m==#(WSPRj5WS z7d|l-F!UASGAuE?XfTPL!8Gio_1dIe4g7Gc9Pzv-7u|2&WBujb!pHHdvtl+<{UCvl z{4eVX^l;tIq;#e9#aCu98}q98=Y}s0?Rgx>oDgOe74v~4gH63e8{>cy_jP`C zrHgB$!`4MtZ0xr&r7kPI{;zlY=<=iD0y6>?_xR;>*xPbJ-rManl(l>bcQyaP%TU3?KPaQ2B%^!SkXKC||dUU|e=Sk&( z?mJGN^cDF9Z1av2if_|~M3#~k_%EOFEw5^SSTr5by|OJZtYS@Y{N_8x&>Wk`mSZxL zbN_N0Y5x27ufy?JJIW6;K%ioxa+e;g^sV~j0z{oF_0_VaRFU48U=^k`@qu|gc(II!U|?Uldf5Lv2sy0BWUg?_r}_C zQG#hs5Y2YP`rf}#Tk$Up1^j6eYGcTL9125r2`Sk6-^d1qQO6KazXbqD3xz}?$j%_e z`f~uv$bvjk7!m=fC?TsL!;4lE_cVB>%j{e9B~NFRet;~n eSR#;ON&o5%fe6DBe|1JyPM&O{i)fqb0R97~Vq*0G literal 0 HcmV?d00001 diff --git a/simulations/figures_sim/figure_toe_corr0.7_FP.pdf b/simulations/figures_sim/figure_toe_corr0.7_FP.pdf new file mode 100644 index 0000000000000000000000000000000000000000..92c33bfb6042abf9c5cdc8fed93b4272cbec49d6 GIT binary patch literal 6066 zcmZ{oc{tST`^QC;A^T2z$R5UweU}lk?_`i^3?^e{%#wY}8gklHWX)bj$i63Ab|NLB zP_}HLg!G;1oX$Dl@A>^c*Y&yPdfuP=dG7nUuleJ3za^{lT*{Hdwp{P+; z0tf;q0=SEpK-$_MFpPjgkkB}+A%cVgqzyHpicm#GWhexq0#Spi$$-EXIM4t0n?0I@ zq3p5+j0p(54;o1XtjHuhnMB!UO~84QkthQ7tCE7M0)(Rd%!Q*$G9X=D5DM!_tpfU2 zH2~N?2#*55Fa!yK!FdBBj~vO6LIe(d@FV3bJhjZO>Q8!DPubw7~RT|W%p{U8GF z+;3;uFqYU247|`&Hmz`drX?8G%CNbx_7-Pwl~s$aY;&gQWd4cpHz#VsHTt}hnN3EZ z=3<(RraprCaUry_8ff`l6WWwJ7am_N%U7}pC5wlLlkm21|7N;`D&s8o)oC8+Js`|y z8;WCgc|TX!W&JU^&38!|`J8xhap3+$X=< zvW7TI<(=+oQBXR0t3KgV^U-@fL0!*B%s9OXSrF*Chx>oFL`Y5 z-w?PZ2LG(HSQaIq!Mw{8#|*JPbtSoBk~Tu|l!^gRG66c3cM^SsX8y6|H8h{Sgv$h| z|6#70KDtD6fL+6YZwW$A%dkc;?XSvtAmhQcSbownekD7h=)(lJb#?l%II}fVn9Sa9Zoeih%qtUmJPnK?PY?59i_fvVJ$ydg zPA4QOA6C?q#5I1(;-a|u`^MqnsM0Q)^mUlv)5~>-S3TfaI?<~!{3!m{Ji&C6{ZF6P z;FZeyP0cZ=S0ip50qYeePO6^DCEZ^nVH*8!Q=imbF&*Ye?*FPul`edLDZxYX1Ze&W7s3DqDVq0Im)b*GOZLTJR!EqRh zV7^_HBRuUZ<5!6Py+1#`7f9K8`I~o(>ll6R@V2$j0(_pXVSZ!P?Ap7yhK{2>MN1sB zHjMcTA?;Ig)|M{cW3X*L-|Z&pzfExapSWXSxfOn_{vSh-}5Ei&MkA*iQP64WJb>j(ySaP z9(~Bc(}W4=_epxA9u5CuRLK$7om;V4ENO7zTI$vG-`}{MM|@D16YaNR>%8J+lNMRK zdZC|yPLdL_#n7bxi)?DdZBLhu(Iw6k+5+2!SF+O^&NwZh&SKyhnU2ZWcMysILZYwivRAY z6=jAP6$IIPmn@8|72^f;D1Ver$Mzk#Ujf9Xp9C(}gzNlv+1M#76>vkkn6-}VmDWH5 z1>g~SkN3Djd3I`AfcxN3(`E4x!S&W@&6bVST2Xc4*5vijBM2}Il-eqQST~^j@V_rJ z0M&;m8Enhy?!{`1i@&P!e|g5SfbD35>h%x-^%v2`r#Evt=^mGQ`c%|#{id=lII}%s zCZ!y`6!4*9dq>-Czw)I>lUv_pW$IvKb(0o+sp)**eaa%FdT4Q-w4``nh~@H4w%Q<} zjYPy-)w^`#S%DY6G3b{0J(#`q*tet6Fm>?0QPVm5r6%u=5Xu5>G_**(^i{gLXW@-G zbk|S!)pp?p+*UnH)Z?6)rwi5A^14gQj_yT{nqYWPn#)qtr4J653br2X@P}c`n@Ik* zhEDW)eNxR9lv8bb^N~15Y-{ORu(Du>AuQt&(|bqp4`Or5fpK(!E?MS|^mIYNmyQAf zvrBUOJ|(T*#YGZF#>-o(lV2N4)lb64#uaBpG8Olx6lP~Kl!JYFHmxiJLE3|_9y%AM zWR@KXUiqLA2rC;@RH_`BJ_!H5{=KxWo(l(l-0Hf@+TEp%Fs>O0zyv6gn&}KVQRtxn z?}+_PddCy9pJtcKdG!`raV#S1x`&$v9xCB+wg-}f7xaWTgbyOkv@YdYYst(maoUFF@Vxzq8PH2WzxrJ&|#viuo& zS_RvRyM6i8HGA>NEyh4*ZMCR47;azo?8_(_d7Uc_+Z$Zh|L%s9CMq`X*cA?O|UZ zTUwJ7%_cV#WFd@frcbZah^ZRd;|*tj6Gsgv2v8(aLgaiC3xqY zXDR3!ir z)ODOPBxh!-XBOS;;{UAx7Z^nPf_Vj-!sUy()a+NoK{>oorJLhlJQUPA}x zxq|%opNMI_R@YEh^pp2%ksgb1JGg)I>*YJ{F%fJ0h9bM|U!20zPSBJWqN*qM;{DLv zG;S+LtQ)__4|srS5}&k?S;G8<8$#V}J7(p)Pd}QPay2`W?JEObT;I!PiGW=Q9kOkC zyZ!+YxOGeYCJ6#_SHpS*7aDdvADqR1WB!;OzbkU=kSxr@ejwhG0KR?Ju&>Y@Fuzj` zf6kdepJouJznh)D%i4aJKT&_@>YH8m;XBT>1)>7_;lec1vg`n3i0A3y^)RL`W4dnx zNh4|ZGWUnB9ELg7nIAsq5syeg8XH3EIBW(#r60J^Dg!iU_34)N1sCZ!pB}Aw%3epq z`i_qFjC8_Le-FsJD_qx)7y`Upk<~eTx383XNEI`XbJ&%mRq=eJDC9e3^Vq%}Oaofg|0N8V(C$Y}g1?TDLVeHmIw~tG}3`}Ub^;dFii-jJ> zE$4bI!WX4U0u3}LV6{0mJ{)`8!N*Q1G8VSEl(S>#D?O~#kEg`&w)Jd4)kPGp)ILqc z(}l9F#aOl9eaG$$(u*o$k7Q%le2}Eb&hyO3;6|W0BfIFM>m2#CX#F?Wh4V$~6HRUu zJ%@8KoIMM%Howi(E5aQ+``}KlW3Fo6Lz`pPnZ>$e4r9`nKs)RfM!pXQMg|vYNOGF| znMn#pPC567PcBw2vTv*JaWh2cB9kF0d=chClH8TFmHd^0qbVA({9Vb2!V2f#HOGZk z5>Ipz$}eIdHJ}i-5RMRft(36nQ?n#|jrs*wZOeqy9S-kY@KSguJZBw$6UQ{$dNOP0 z)<)kZYS$=~HT<|m;V9X`gnJ^1`Z<8p!FYPUjw2ygcg|e$3Baay^pI=r#0aGfZAGSpoRN;K0 zt7Nzn6EjV#OtVa{_4;$moXiy*p<7(qhVCKu$a`82@(xxGEz6QGRbQTdSoZQ`aZvH* zOVhD8FO9~gOO(dK#zx0#O9Dz}M)lG6&@sOAmp+ZCKiVX*_@(p-t!3QQh+mi*k5L&= zKBesBvoC;7yUeU0P$kvDP*K#e3K!m3xxFZ$_y~j3eqUOtodzEvB>wa$k%_2^ zxc)=+hu{&HBU6zdBTMwVpQc8IoypIkKlAbo>y?2kXWMi{@g^S6zg%zJIm^gA zbWAT>OlN7Q&1Tu&_-y}_$DS#xXs>9zpv98OVlw-SjE-cp4&B`w_x$Zm*b5o=q18%T z(D=&!%EZe2zKpx8uBs9s4iyw^BI!wEr}D(mSY(Ic6L)C(+#S1HTas#;Urn+IS&BH1 z`iajLeNvypwp!hzT-w}5;5qQ}8V^#zLhqi#@WX;f!A>h>3NAV=UATd$>X>S@Z-jJ} zf*d%sUct-F>W1S;`h$v{@D+FxcjDPjHPt#y@npgq>DTIY=(WO!79wVW61--mW~WVO za38TPyQu?CsTacD+^j;C_vd1U9Qz&LkFQKl)t;1gQWye@ObS0~CLTi?_oUp_y8Efg z8sTJ9n^bQ0#LR`?b;1p0U0uB#MmF6sx#naMQtGu@_~un(P-EGr&DW!jMGj6bU$JE# z>jS~9dxH#lafxB~!Zh}URgKiXL=5aT)St^Msak3ee;>XSl|UCZkTNhJpDvFo#Xrg? zfA)CR);ALvG5WR(^9WZ|dsmn?UOZkn;{NXHPWzeokl)Hvs=~Z?-TaPK=jC%QyH0Do zOno7-nzACSD-c*!+g(sJ7t*)>Rb*7hk?8s%aDwsK)d!r}mLIb-bW_R8OH1>k$Y!(P z^^B`J#8Pk*ZUZwsv9%C7l)3cvlU~sD&Ors!Aa9Dhr`xB7d3*`+X?V`uv3(IuhLa3h z@j~$pU@f;b{w%f7*~IWk+GH{P$4Cv@C>u7Fxv_)$nrz)iMP(QZAn-)dCAv$9Q4Yy8B z8h1;ENrCm;cLNX3jo(Tu>eM^^!*#!Zej=bX@BpgFt)+74x_vNOcK+2sc)==xD z*W2Hn_{+T9?>5;)5Z}qK`2A?S7r?1hzh1F^TJK)?;y1qS&9$OrtL$*PuQ6Nu|3Ynz zzc3W^rv-TyOL6y03g z{V)hJ2>|1~aafcuB^%=B$wVr-yZyt1{mJ^jK>QCA_U9x3wj*C8{q$t1B4xy|MEFrk zqD%)r`|?MO2?}!=MM5JHAn>og0Mw5D)3XgEpu9ke00aV3{ObW!RaBHz059M#4N7sQ zsSkktOM|FV=Ai%9pvoHmii4`CQHGoUiBnal%oqQosX-{E{kNt_aeM!*Y5Yr5QHK00 zhl;A&KWZTn5NHgFKrz+q3m z2(k$Dh66zwP%P9F?FIyyK;7UNpcFB{4EUb}xql>(;z-fHa1{36;UEn(3QJsKfbzf7 zL1u6a8s`fm?kD|U`;h|vjKctqa>Kd2S=(W>FbIG0U+^f%l1y_k|)?H!cr;ZeK_n=g!QfM8#h;w!`uTP@*@#TRN-!0|Z z!Q`1i9)N2)U*}=MefHQH%Cp6>U2y)!{w9qVe#+^!ifHr>OHI zC*7QaUx1l#iYr0`xg0JfFq4L>p)!>!Zgy5*zD1mD5EycNdv<74r5=4gL|}>rOU{`; zpFDUDIYVcl4j(vpF&+eZEZW=pa1p7OMcMzHcldzC^%HtdR(;Uz7_C z?O3MX#7Bctfc%i8T@i$LBgEk4#y$=SH!$E3a6QX;&tznam)um8PhCV5mO&-CRYj%! zW|$WYj|1}vCr~NA%rCk;*sZBjPZsiu;76yVu5%a>PBX#%Z|mMh}I zxp-#bRJv9PMRys5-$!n`yl)HCGSqS-wvlR1 zYK7rMHU)Z}h|!m(rH$(r4aD~`>v;a7mp6;dz7sCkR-HxaaXxf?YZWW~;H(q%%-yp{ z#iSCTm$wSFsOzUU2FCN|%*Oj(A_Q_{j*0E7N?V3%Om(Ws^M+P)XTG|*0Y03Lk4HJ|RgoHI}^-WT^Hs z0h>2WFDA8X)(31NZS~|uih}I2jiyQy!d{shZ<@6)$5$3vRb;}5D}D1C0&z86k)}~a z#!bEbIWxTQ#gIwWP-;bHxBKd??%c{up6DTqSn0xE^N3@fe6d#|H8;}{JIG}hacKLX zg!i?5KYgfCs|0{fY{Sxi%DLU+-9kIXFl@#dkk#{)zItw^$yv7a)`o4F$xI)zQReBH zYt3p#`#m2}}X3c<>zHGrw7tNl1z8gLDeTSlYG9yvO^VEQwM@EWC z7th64jz}p>&HF}QjyM8T!+R-+FQ7W6O!d}MRjM6Ug!tB^ijZeCSd|3o?Hjo~81SIZ ztISke2yW9O{ooB15%YWl1Y6yEtq~=I>X#!PW^CD>(p>puuz_-*d*MLeb7tg87@`06 zeaT^s(3!5d}(c))x04F&|0Fu7dSG3y>0a( zhl03J#XxSNy-V8Y-Ln01ahvktqs2+74*G=YcJ?-B2?^qfEf(crC-MN}`N;gKVLm#7 ztloi>Ug{ZH4k~ifuGqK|lvzhgbFQLzXmemF^J_*)$NpLV&=_552ZwW^p2vMWMxPpz zE$=aOWF##t&DCFDqCWI&J#GpN^nvs+*zx_ii-+J_t3|t}jY|S+ysOK?<%$&V;Am%x zIQz%I_y-oop>_4qEF0^$GHUQO88-eVV~1U`!_q6YkG|X8yzxrD^2(~^%0og<%TeyF zhpS9i%XV?W#{*a!{6`)7f{jlTysx=G;CanA=xG9<3|O3mtKAfXv<1F6b9i5+FNVsh zZ+yx}MKzY^l9j4ROl2hO*xT5wcHHq%I+ggUrg#yg#`dsQDeaxmxYIKE^HwRrZ;Ni_T4sA5QC`t7D8nb%*K1#b}V8L;pg>YORYz45M|tB{+Ktr}Ho=ur)5+ zp7WsprOURt(3K-Mn;>#|>h66H8u}X>G3hD}{rAgl1Ubj4jN^gAj2(yaQ-o4EMZfoq zm-f@_PWKq+_Yze6-f>I64W z$0a}Oo^Ky_vh#O-j_1-_@ehAjwW1v?zw}bH(ANhqw+70Nn42iprQ~KFz5XL5 zRu{D#`14Dw!O_XSsGkb2sNcsAg+foizbtB^n{?Vnb!{Kbe4TkVmMzx<%0B(^h*s{d zgOm5=&=Jk)us}>(SJzL;=WpI#|JZKBcS~m`Yj(6wwvWu_pqT;OG;=6kq z-@Ne)3p)yJ4N#`t(GRz|LgrHt_0sUJ$WkHYR)5uSudRDmDfG2LSCQiQl9YWPwt$l8%4F8xo%U!4V=w!OY=UpgoAlal{Jn0IVYbq)kK{ zppp_u8v+EAHu()lAgutbjyaZuaY{<0?T95k(Z1&1P}pw;gfY`m2g>{j{|`=)BvL(l z&~Uiqavdh=Oo^G}9`0roy5~A{(v<9+^8)(zJ>&UeoP_wf1exW9&a6nBihaoY=-ZYN9q9!34q zz=kgTY^lxprM2GpJ4tTNwB%>^$tXR^-g`GTsztRi1{=we38gPe ztYXYvJ;h<^LXb%Dl|Zuhx`Q|OCqXtNW30oBy`v*`5-j|c@tlGV=COA&Sd*5<#thez zdPgJ~V7N_()A*{fwSH__U~ zMF)NIVh>@^`rb(~Lzu?R;4!n#H+vtU0S6iK=~%FalN<^WRH6B5V0790+u7CPxMObG zpSUaR%-{Jt<3X8Pn!^Rk0$)#Kv4W5%AJ<#TOW3G>Iy<5@No4|p!B zhF&2P5@80?-F6in-wUDd)1mx^PnyWhDLfsE{25~1YVdP_oj)uErlSdIWicJy&iigh zAq^zcQl;Efy|hlr`hx1|3+7fb#`lyIYC`c;KF;9xk>^v%HGv%G!<$PkWJcCGU#+6S zl`u<3$$DSFM!?=n%hO6k3_DXTlAB2~6om`#14dMtqGJY_*v#UvK#c*eCowjump)KZ zYcQK|Wu6hxP}ikkQ{5^ttKzDO-7H0{+ph~@FSe7N(`YF%b!RzY3!>$dq^sz*Yhd=I zZge)5Ka(LJ~ik>{3(YS+P| zbj&=psVwCbNY(k&E9Km6iMnZ(1NP@>w6wq`2AT9j+-xz+_p?f^N@dGxOleIDt5l{e zr-W_+zAzhVd)&uQjINVm#S}RUlO(jQOY+AruQ#qUAIhJw(L|NPlEEn#!VI_s*%~Pt zIU6q#QWRo1`;ws*k8K_*PIGM~p6m5(aPb5`1>9!3&2pRiT1rS1-!j(wsr*d`C8K!J zSC;SXysvs&d$YE3K4*E$w3p1-d$2$J34W{{%ouv+dP*^m5Nk5sqi9`q5vX`+`na~d zeye_f8b8aIc%xU|_rqIbZEh%ODj9PLbPAa2BKT#6Blvl|cy_K9^1k8i0A>toyE6JJ z*&4i6M+p}5yt~?ES|Va2LM60+-b!>z2rJ@X8c-2$Ep2gV;qWl0-ljA_(?|DHHH*`r zZbIEFQ@aNiWmt=i*vTe{<(#&Hg@Q(4qi@n@>W@0-#d_nHHI_^hg-(UsgkToYHO6rB zwkh0{_NMKo{5cJ&3hHq)!Pl~{MQiF`uT}+CeR{1oHUCTR{uRLB%zs-@b$`W-_;71` zLcaDBmcc7!m}|EnT_J95aXMNCFU==y?Y>Lk8ZVfhoc>H0nyi^rEc;@S|7fSQu%<)f zH2SEV!Lr{_r=(G1t$Y*~3+Ty68?ACZ1Xo~Xa6fPY?O)oX+NFZ}f=q*Af_8$w9@3qN z{owy``K05-oJNs`hlZM_j;7_@r&zI`^F5BSKVs|eB;RpKmc4-EREAhdF-VTep=3He z)Mb6-Y!Q>rzWDR7A&8;W8?T_bv$BnH`rumdB}g3p@(A_nGkl!*IJ*(MdJ;|2B?A^h zMsANMJjHHOJW8Bi{Fzv>EvHSdy;tLA%Za-ex)AloJ)}R@h1K2Mod7$it;-dkdD?e0 z@9^2-U0dy%-&hFB4b|VW0P`ml-QsrX>h7HR85LC)HBgF&PENc4PduLfM3dA9fO#Pb z{nf7pD%ANYt{zU$b=z(S&wk_JsL;>TPZ}-@>^nFTHWpWG*h<+-{&FS9iP&PB zw^FxCsr=Fj?}}Dnl7!f_O+n}JF-xyNfq)LnL;^TLJYi3vw18&xa5DTsvwmf(=dQ#q zYY{D)7M;E~1X?rZZxg(CRawu^@NJP&?sAb?+GmRw>=yJzl_!B?*;ezZP2U!6Ciws<2F6qg$Ug^29sqj~tPn;lm zD_Q0l2ZC~nUv-OoizLy`ZF8Ruhp&DPIp}hVu5J;UL$9JbkMH5F@7)ZUPj7-ZjFftgS&djNO>ZqMwpQ&O!RdX`y<=^7yAH8aF+cMx z@LB!#r&)qkrKPpqS5&?89zLk+WR#{XHZde8MB(&`thU@y82+Ta?M7L3(?(C|Qs_oR zJY@(z1&_?RzCsblA9p1z|9Iz1k6PUAyA3H# zA#TTxUbM|+<*b_yZxvqOn-thd*}9@~F`%iX|3T%-?cu$z+yrGSjKjx(Il7k#_gRaL zR*MT%?%_5!Ha-ww9r{6g1qsTSI?!|UzUTPd!CLTG;l|hP>w#~-e1A+o%8}ya>bTwh z!MhssBD7?M_LN(Z<}%H-IIg&M&^57K&)eAyGu5kc6%OSy>}dYA6iyj{pE^A`u8U z(HtbXfA&CW8ITteg~I?9WI;YSG#2g&M_>V9X=#uvn&@X@Fi0TC%@^uNWLzi=M?zf~ z(ievFLU_UhfFLZ=)0HTBL1DgV6cFU%3nv8|57$gP=l0c!cu5bhp zb|Zc*QV+dJ$V9-VT1xdcpcak)Cj0qWcX5nInVX#Pb3{H&6&P@peX< i2gnSK#sW#M^zYeVuuxy@@5#u>%EJw8jYm0qJrCVMHm32^tBdyOoY%7;to$ftf)Gm(NgDT@)fFLBkg~8#ou(A2?)vsv2a2@iGSrI2K;V^E&}b0zYT;!#ASdWbtDQ;cmYTqMQDyH0*-M+5buq{6ME)C z}xe|WL<@eJizO|G5+{Wfq5qTS_pBz5SPkh<=x?qyv zOy{NBxx+az95hYFhEYtR$67RdbyLrtfaa3J7@f;9UGTTTTpXpV@UZOO87xi1YH3=S#zmty)^6A7_lyNuRNV31^J!@)*9Q zEHtxla;di?OfyDEACoJ-lPd|&N zU!;_2E|O$)j@W%W{!L)`BOQYNi#-)w1I4Ll02)ftzEerxmzY|s@nQ$N=I&#lnFu~x zz@*e)+~-5$B+U-P(Dr&<2q+L&Db|pC0;W)N1B763&`;`rz!NQ^B~60 zW5$jm?WFiPeV&EXndI_xkl;CM#z%qT4tditGCC~)I~kc)VXDVWwA7E8gsC}HVKYI+ zBG&k;64v+<32VmCaN4{rFwo>kyRG(J?Qo#$OETj`ax%tcy?|jy5}MrzrhCPqfA_ zaI&f<;O1B0Cw>fF6KdglwxYgwO!OFAU*Oy|fTi+(u{s;V&UX zhNjTwF;@;I=w_IUOUjm6YT2fdJbg#1xbW$WrXKy-%P!{xuHSi1h;S>f4oo3*fFF+a zc&B?wdF9@g$)Nj|nvm|>thK{ZMBu{d7|{ogP9i*AJ{wf^JzbSQiH3DSH6LDtHB4qxzL}t zToMx!w(gFZa-tJMU|(Ckep`~9B$?&1Bd%Hd`84%O#+1UtEkUiH+V3rFwPZ=p3vslm zz6Tg-$zHxHB+zDI+_xW@#L|#}1-S9f%RBJR2c>8dw>UESjr-(o8jD3lCW+@IybOC- z2!r)ZIL18PJ>P9c5ue5tuvlTJB`Yo4+{xT>Mzi;(@u>FDLtkfi%jN~?Qy5nAaC_ZSijj&Ft8v^omCNt&q!TTEELk8db`;06mEfk^Du zUI4PpPBIxL3Ccg>T5fO5@=VU{(pLajJ#%j#3*a2({llw4KOk}DUPs3wG3`r?B>erLy;^>mtUpUlB+ z-)r*mH_2Z45(z(v`nc0<-?#W%``Zv1EFJUKb>fz>< z1$QmLZavYRrBj#$tX#ieQCQJ6m1~w?CBBM`e;7=*7929Awe1Vv`AMAsY6Iv{ z{>1;>@1N`ByX$H6$q-PWnEf*}^9P<>FDYswtcad%E79MfQ_}ou)wGU$W1BHGS9Z(1 z^IRPUNf}bbt}q$b-fccnFktlc+J(F&a*a3b@$EVcKG6(QBaC$4lf8p4MZZ$(xnIlu z@S;U+m1|7?Sw`HTfW!U!4X0T7NyRVRN_LZU{`GR1aSC-_3!5~vAIVV1JnPT(A5`;% z{rLD`3OkX*yFB9d=2d~E)gf0|-2Q55cDbUz{1*nLCUtsl+lxHU4IY&HbBaxs86C0n zj*9cfxqvVGD&@r%*dT`Iw{}UQs%lPxgnLfIsyoBOSL=n-D3csly)T|Hc+NW762RzB z#`qJFhy?Tpq5MXqKgbBAgLK3Jt$;)#G6vcZ$O+?4ARq`3q=#@s!jv(dKr1j|Ph3_C zC@uxI`3FQ1A?P>s5LgXvg1`fI11b_m{%Y)RRKnO9(F9ZXrdEzxp z@I+XYmnWtpltf{$Cay5}F9n1%)=&mY{to{e+K3Xdo)t(-MMW8gLpTDZh*37bF_5_W z{l*(a?m`obfK(CpkZ=SsDM+7ycA(#YCP{eG{{?8oJN*S{naLieCS&a3{f*L%h6#*O zNdtFp8SU>8KA&PxsVw^(jdk?EgQKfMN--@Yr`buh7Q7G=!<3lCt^F}; z0LMES1+xskYJ+zvuO;;Qz}kJh7D3QkiMTBhE1$ho1cU50G(;ZIjq965Y<`^(n2VKV zZi;zm58zllyI%`!;)e(0wZg7d6UvDwGy$4J$9ea5e@+lQy!8L;=aq2&| zVD)kVyyU(1Nk&!%>>}#YBslDEbDW;=<6g3Di2pi3m1nw;xC@ev z#AcP$u>NOwuRVw)>SdEVy{{X0osX??+pLJQaOuQ^wGL_aT_MoY#$h(Szlxntzj4## z#yre(J5eS94^gp|Mmu>IsWqpF4P6;Ccm=k zVu_$gRSvtppPjbP(0cM@tTs7ve4l9`*_^E4(uM1O+$4fmnSj*y9fb!rd}%v0$Pap> zKcuE)9`y&E_?p$|o^-Ka@sERRs6uO)jrzW&9b1w~07=xYldoLoTq0*_KJ&VnsfL7M znw;#0V8j_Wd&qPUYdonckb^bgRnGaOpfY=bVoLWMCW&Av*Yo&5__Tx!l~`c6{h0|; zV=#SIfY2sQ&vnL-&@M(c<8VAsrHkujsChi+S8@s!CPS{IvwSMbnq+L(S96Suxk|!T za-Ei}mIUz^>PYBRs&kBPGas^fQ(XpA7q(cwU_wz;+8fB6jSJyudAA9b;Smd}ZhquS z?!&kqV$k|{n#r6-DX@qsfRRZqFB;6m{#IT2q30E9rc0&q%umRW*T>_zpYYU1X+A9K zvSOuFQ-c`lCegmWLK1zgQsS!w_c%wHHcVi?-D zH@m+h_SJnD{LU)HWnU6xiJ^WTqN#ipCYqZtpf00RqvLtw3iED+ew%AvKuwsrmb|LG z0T*8rpOL216)B;>E0t`wD=DD7#ZkpepGTXk>j4W$2vMeyo$D1yP4OT&Kj;YI< z%Bpx(VxzYx<~3MF+9PIFW{jc)j|80s;ie%a1_+bdVfSJ66^j)aIu-FkiUDI}K^5k9 zaFq~SR8*#Rm3EeP?0Yvhp^LekAIO)Mcc6!`L-)gLH$`t6+-zFmACVdnE-4>bDE2D; zKB7H5KB7MS<*E3v@9@xY^;3_hQ$yF0Daeq!U+;YTAXEAsPwx`f&9$D9ARE3oF&ZM- zD{)!E?DqN)*FeVT;ON%S`@xbyx%^$z^yh22nI(-XMktED_Sp-Z2>TE zw{odmsXn~zg2_Zr-uCSbb6~k`a(f8AU0RkZ`tfzg-njLa^;B)?;=O)fv@^Q1`ZL^P zDC-W7!<&|-k0-&w`N3Vey|BR#&5#cjqu(i`J80l8PMIFc*SuuQ?#V6ejE=QfeDnEq zz`;?dlcp2ho$uALy}x~7F}8N47Hhp~Q-D5Kty8B+Ar zxn%K1zq9SAEpIt}`A3xVp7x#)rtNcoecSzk@L865lQrCwS-Q%+J#(ushDfT!0xn;!-G-guHjabx5LLr`y!T8qLZS55n_z4-cVx<%SWkI#&U)iePDT?}X3g&!x{6aU6 zExm4mE#K`owtHn)*IpXAH0aG@^#*~aiMyZ|Ab}5`itzy zqd~s4xK(b&3!YWgodrd6_q#WK@C+&3!dcIIj#0mj%wx&cU&zi-eB{2ey!>?t-l*ff zkrAnYD+4uPHcWD{<@*?H6 zaIWw=&^4QNK$f)6Y}C=CA+yHvta^6WwZX3Ahcl~2A2DAvYc4gut3Oz}by&7ojYIcO zSl~E(tG{LqHbxz#{owSI_*r4I0#s03QIOlTZwbBzpQsQ}LY(gSH7s2^fVGG8scv8X ztkKEuD*#fm-S<4!8cj?sYF83IwLa?kI_B}l^B4+dyC!*Jy>mQNo^DtC=F{omI${I= zY3HXIpxnv!af6XRZd!EJ<+MJe_awzAb%7J_7DBGJK7nB zb$3C*-0?sV#uCsic12WfPZOF zf=NyMfat$8h!kNC`rjH<5=^j<|E0g?(IAN^$-x?SS`A-lk7ws#=aW{V_&jo&Au;V3?|HI7W=+$30bm^C4?j)TSy|ZFDa!` zD*H~h7EF37Ttpt_=OG(LsrKRPh<-rgU0LU2S{{McnL|}ag zQRYBBG}O-v0mA@IaacbbmJoIgjdI7q;ArAk8A*twG(r1S3q_Pf0BULgIMSVX3h>{j z0fH=p{NO;478DEhL3si}*Pxzo3{ZyPU=I9Gfc(D#h<-$GG#rWj%N?YJLShLf2B`2W z9Apm1pm1myA)oAj526Mf~6D{fFNCj50-EPkggA*Iofa-${kKTHwH`S znJ*x)u+QEY#VJqMwOM}$hQ8;Vaa_p7)I<>tS$fB|#Iw|6JmW>CT<}&Bu=hHb^D5tU z)tSH-CYY@^;OY#n%wT?V^4?m~_*=dBjAMwcS9 z1h7C~M5bDD5%6jBT=QiHs-rK|-`id88@q^kuI%kk>`m2bSvu3%C`S&!?tc5aVa!T? zlhrYM(cemA>pC-Nz}MQVE_b@l>aFGaG;?p18GWB$wFEP-D4%osJ2y4jEEW{O<)MjA zu5VDb1DlZd!#5!mQYjXOiRCteqo1c4-Nv1Rl!q`D!s({XLSxZX!AciyM-*A_*??oL zM(G5iCGW-H_?qiJd5((!C!2Jr{Lg1`O>7StOHGBit&jrrW_xb|9G6L_?y8{q9k|WM zgIMmbL3#C@HyY0Ijf+LEk(NYne$xM*tssur^9vlfUZF=a0i#a1;A51;_wcong6?q( z!cXCAhk`k9K-!N&?;K0Rc7j>g>Maeit}AIK+JlU=z!MmGku|x0)R)BU@^k)XRMcLU z?WCK!a2(xBwk+?bm_mhJ83(n6B@8m%mqf18aOYeHj zwC2h;hVzWxcTQ?dwY@`l^BTRFSHv%8D-9I_0&*0sHqL!M2UyMfU~aL4FW+LX)x2&H zr$Hii`mNHEO^AC0P~G;j#C7>>L4-M92-M3OG<(4Ne!R^0e46zQCr-l*+NMyWUcY`( zy7yLw%n29U_@v$)Jmgn46qgnEZ=kpLn!j~#>6NNDbJv3?)XiikK?-ns44?S8X9+Xo zq+9uAtxJX_Y{>arK;dwP6gts-7(`B0{2oI7g5G_r4so}u6JiY{F{@A>`9n%IiEG^L zwr-Z~QMZ~-VslIwd{hs7N~Vx!dXtFo1EVTF#W{e|$c{nP)hpwOnS0oL*^P>+`|48& z^LnhkZsD@*E!*WLuVHMyoM=&w;s`c>(Q=vjhEhKBgCXM{-0e6mD}Cc?4d|LE&tj!z zVw6s!=Jf}YBKZrjnaf4r28UwuJfoLmmC$z}rL;}Y`!}GpQ8Vj-n@8>pDavZsCypfj z6@@wMqm$N}xY$xc$#PxqFS@8og_a?2ZD&mEKc#=w?5)a3rFF>&0BBPTtQ_KEyJggN z@s8Q@#x}E)ih*0Y*Pwq7{p&o+h!XXa;;W={9yF)JRD+scX+1#y9;qWv%;}PYf!te> zlv@KUA*b90GgSeX4CI)1XyMNIFESM#6nSriZswUc_Mhg3O@gxWU+G-O>xpOC>oT{6 z%?M}N%W9+Xi6g2V6SIQo3dW1_r8nUWc4o$Q_k8+)K-!? z+nXe@1dY+fS#p>0CCZO$lZoPyo{#kv#AL<_A16b|m9H9@N7~y~La(WBC zo?fhpxo^U*#Lf9eHJkIOud}!*Y=YJ%1n}5))!@XQW~78}Ln)KpNVz7p0<^en?k@2& zUCzc1CV{p?XA8{m=Cat>K?#Omm}Uf~VLIQKcJW6lI@*|vN(pA$GV)bpP++D0)2=!7 zOEm;Q>k+->mq(KPs~S3zLz<6h2!`lhtlDC7+Dt)cn#Y%^1wlOD$JPZ19tN~{P6*4a z@xaUG)ec*xI0`-hn@OPaT3)I&55V6Z$EwLkS|oS&EXIHHScBj>M$hdNe(~ntjnyL7 z81pjuKhR8#3#Bs!oKpoCU`$n-z1b8sT5DAs#LO=z`>(8QvaQ@m(ZJaGN?uN?*D~)+ zsAzWQ@1|wgX>;XQr>)+xm(2VaKOnFr<+AFNx8oCfaoir%+{4jzR+gP~d*AsCw}0|8 zSizA7HCnIcvVlsw8T2gC?GEbslKUS@A9RM2oJX7A?GysOroI8-%$rv)y0IKds+}lBA?k2Yb-K=-aA0`B z&e~1FMr~zxf;%#9`5lFpNDiq9v(&e$A7nXw{29&T$4Suk$77sXDEuYAIV2Kc@qC!kZDCvVjTlhg?zZ4M0Tu&1y_uKtH zFh-P!^&CJ~wX`&$7`QtSLiBR_jdw)r_Z_bgc?wA^0@8;2BVcf1QjiG&*+9R+OO9}* z{|mf`XZjnwigE%hEoNC0#yaIYuVvCFXN`M%nUm>X?9|VY6qTl?H+Y&(!VA&1^wT!W zs5}oAo{uco%4pzCjw3Z|SUtzCJ$=KEnIq?_dma17CqbJd1s}N&!oBgGWA8mT!)Dq^ z(tpHIJTtPTj-)BIW&X6-mv}S9)0K*pW{ZT}hh*Nbu~C!tP?s!^Ec8vPPaf0ZrOtL* z;L(ZblzM6p$r(PY&5l=^_eE*&+x4;b3zL@6&bryGhEp(EuKGY19u6+Vz5`^HTqFs8rVZk zASA+>bCTaM7VbV0uuNfaw8TOX$-Mrc%hn{wc6f|wh^}vR*j|#6zbcVk(9t6P=53~w zPh(@oiz$7>Qnd0n`94d($z!+U{Dda)82e$z9OTRXh*$ZIf}(fg ze8VRka#Q`paj`P|;O|NVW$9=SRT=?}a+)0mm=Y=SG~+c6@%e{zy+7~Hw&f(fJ!BZq zu_deExvUY+MItQ90Hh9a7aQLUyU?#kel(IYk$0!)WGwn;m`$tE&jD8ch%}g~oKC6@yu=*YT*8(W zUFRxvj}lkHAR7bmW5Y(l=4BPAB%_90&&`pVOVJibifjRfHRxmG2IyJL6R<$70nSHp zw&@&S$SJfKu5o6a7tqqwCu7lAEiu2xSrflf>apaoB#gb>PI6JJrNqpO@t7r;icgBV zvd8`*gAYZctEs~IwAf2MgIiz)ZprADr`dkwq4XQEroFlI47LFEs49j?dIqJk6e$MQ zXS$jhf&A1AJhkbJcgYYMZ_~N%alCGK-sPN{V%q`bzA z>RQn~wP~wq;p>2X24h|CvXP0=B@(Q-5_?gKq^?a#!T29bjY|xB3dbyzF{Q9n=`^+o zBThktZ zkD?=LPCS*KXqefi zOz8)}d_9T+G?jxC>-?3z?aj>g*sX=WIl6SI(lFmJWvD!;fA?_r^5V_5l{U2Fs#67$ zrbWA@6KNjc6p$7Yb3#rRMpvwN`$cS3wP(%Zl`&7}8E4*l+WOZ%p5G0=i=dvr8|!!; zGM@06>8r&$=A+G+{A|msfR|$*P;nncBAO!7&md4V#HC{Z;jtaYSw}j%# zt1EQTBhflNsyu%Bt^?oGJ9aNFURVr>iyn_0UoSm)mfD*W7sj1NO?RQ5I)V+#WJW*H z9ogYHN{8W0>N)l5wQY9Cct~g`Y`5Dv%D%^G!lA_B;bT{9#p26j ztMQtO+F+a2dP#fLu71==RC8=I!aG8^Nm3jX+9v7YWSU_;kzdxZAHM34!ji1hCl6`$ zx%V#dt?(O#R>VeSjWM@jpui==IzusokEn0RuEXpRn{1b`x0y}whr^{lW7fmgpJrCy z&9(d?Y$G`a;(o{Vs1rj4(;H07RnA>|at&%@){^qj@R6ZCyW^}A{91GKN*K;yU;n0! zaY&uVdga^K9YG!SYuj(8tgEbS><^IjuA3vl-N&Pp| zS2r#9hJOlQj!GmC8%Y}(k;s>T*ZI}n#qGF0>lykO7%}y}-=`K;)so9amcXCD6;W`w zzTbN#A>`J>w5Bl6LnmLV=JLBtD~=x&Uu91Utf#GVsa+0iYI#vnwGcA2dB8oTYK?LH z8aPY+EUAnMZ}JUasFsaeSzi7!1?w~n-YiT~#ngeGptgL*XLlDv$BLE@*3^SO?Eh%E zFnTG?+1+Wa{fl2U=4p7z0@Vq(66GJ1$_bna?I2~R4fbOB(9g*y*;6*1^~D{me(RG1 zKQcb8n!QGS&~N4G9PBt+vOca`Y{4MM=Ik(+!dku*Pj)7sa>hQC@@Fz<=N6^05QSDv6cX}@b!-PQU&WC|NuFl-ftLjr1J99i4{xTcT z9ryz*#iA_t({b;|RDFTVz3w+>lN<0&?3=w)8}@n+=iDb|5tw<2Ro}CYI{{2GZJQ07 zV(NFomyX!>wl}I$P4VI62eG>+|3YoWzcCc>*OpNSNm%G1kc2fO5nKOb*&vWtkQl^o z0RYlQczD1Gt3~4O&;ckb2l7QAaTuT?1at$3!oq#v9$0|1tSrbKMc9U7FbE*X6Akqz zFfJ5^Bcd)0frjCHJ$&GSKoAz;<4%x#p)fQG2?V*J;Y3G5Bosy%53m4`JAzOOgTMem zl1LQR9qs`Hp?@6`Mj(G5ALu`HFC5YnipKf+Kyg?g2<3@F!o3OApuaL>h~)0{k2UKr z*8dISf9_d-O#&bboE!Gn+Lb60Mhp|EFX2dp>EKsi{`Ap@`}o7L2pALq`rQ{Gv7`T7 z%Lbz19sntzv@}5K?*|BxlarAHdI0~{z=Y*9@c|*AHUC?a0!#lZpA=Z}Uz(hZ!oOG?hH^LyX>IPPPP>wBN)bzavw|9sA`kcpjs07HA@d zoMi^+;Nc!_XaoT;CJ{YIL~@!59_KuN-S*Z>@wqGSAR+L`x-F?Uek zo^8Fjtuj%G3uo%6!)Pk1FVo8R6Mo(c{;N86Y;vvqe#w;aa&}3QhhP?da ztB^I3n^f4EKXmY5Fh^2-VdVEW#bO$7;|Vvsgwz$Q-(+zB4SmU?(V{L^v8>NrA7z>g zFkEcrmi4IQzS3*5!Fo?{48zbRc_hG6`LbTUAjycX7pUyIlWueT9Eu}`Mdn1SO`rHS zyX*;XjqW<W6rx4i*x+;|02dfC)pO}!yMBp@xdP-+Ip8TsO zE%D9(-JKD7)^ZLtY!Fu&9*Jm@oDJ5n~nuY!pa>R62`62dG?kg z-RLzDp8Fe4HKUDC;ky}o5KFiB!wk`InuZaR_MLkhlfl$|F)vCCnB&;b(Mb+mxK6D; z0ahQn1diX(^agbVDQV%U%1i|{S>P%BO#@Bi;pX%)U6o2l%Nr_C>h84*lQPf3WQ2&` zjZNqoF|m9%4{mQGh2&7wK8uk+=heL!fh_Ip6nqSMWvpLoKv|^;GlhwAYCpZK5kX?A zRPU144pE$;>tVeVN9Wzn*naH~mYGTZtV`@29wif1QN7hL$(sn!2>S&XKC^uiRB=D) zQj4hcsHxMsL`C(jl<1Y0U5Z~MmOnYWXTxBV23F_KwitGCn9Y2z%2g!NG@TQE5nK4K zla1CRDE*pH8@<)_pv4;@Fj!XWxQ*6)RmMb_ovJx|a!Kv;^&xWyE&R_vRL#S|Q@z|b zEm;iSQP189k14R_hV-IjRyI{w4Lj>EXD+tmuYKG=251hdzwWCtiF30R?a4#umbuxs z^JI>&UnajinU*mz1u1#C=#-*7@|#=4puv5s+iycA6?XV6d|Gqv{%k2DsPomZkrT29Tbo-xF`Mecy<()7P2UV+kqEcA6IfDu z&vb7&lVMn9yYV$sTAS5q`axY43bh4FY3FA|i`ve% zyL^}Nc*OZ#zBKm*e%i&YqGj<^$_>B%UR3v< z@YbOx;G`W9i3XaisKiF+^}F)JdOfAS|@{ES-VSth6jmK@d7v3l?HReFa2Qfz)B?ZywPRvLTypPegE7D-@8=LX%W5H5sjJ(L%kZrC4R3Ec5)o;+CJ zU)&k&KJ>cL#eVr2^03MBm;~|lczhqaTaI(w@93m{#N^cCYz?2|N??86tHUE{&8|tB z_eZ1}zr8(q&z%yn#|sJuovQI-D=AULJ@5;o>`&!0dWr`?tEkORJmlB7+p*CF7giMLrUdWvqk!W>}{?UM_#PT z`Goi1-$&lDl52idme8iL7Ue&)sb{<27+rewxqEoya9_gt%R!nw=b#SHZrycT^HNAx z!sW)=-Mz)>`sS4&-7=Pi)1E)34_wuLa04SEs#$NHJO=Z1trMJXWVqD&X+MD7b3R&_ z-9PM|Y@J-i1`@R3s$&S7KR#clt_C>C`0^JC`~@-;PWh7~euK=P`~uQPyAS|7fWj?i zfCHIta3nIPNC6;2qzf9Zj`ITSz~pbzFeo4m1v~r$bttIv8%@YWg)m1F0XqBtq3 zUPK2bkTw}}07XTRHUyBOZ1M|~Kw4fz9djZD=@bH08mPl!*5ultbX57jY3CQN)eDI@-`ZQq-+W@A_ExcH%7^l zuk?Rm6y;2RW7LCGPYd%=j>z5yxdxM@Gcou2Zn~M#=$>lOO_aPO#dt>V^<64{sHTO7 zrfFiqafs+dP`*ZD1%FI9wQ0o?9hc_NEswK2saIV}xyE05uXW!a=ldRTGpC{Vv+J7w zNFCMPpP}?`46GT0PUc#lot$fpijQ@5I!1kRor)GiHQ`ZNsm`&hO_M?6_aP3G!M4lU zP{$1H{kSx!64yj^lyk4vhF^-xBt33!b9dC9i?c&s$tp{z+PEYAg^XbjSg(iQCIn)c zOxP5+^V`Wlo`!8f!W6kW2|ZKD^_fp1)A2CY#<)Z$F3!2*yS0!;VMHkLYJ}=r+)M?R zpAnQwH0hJ%EWz9bBY{W~g@i~@MNnC^{7A@biAs z_uHwCVS%e$ntZ#>J5~W1r>M#ckk3c=Bi+&LR1QnjCiMrA-A*8?m}iY7X8&6k>iitd zTBgKZFPD7!WUo)1b5jg7zqX&l9H?>Kuh*>c^V(Oq*H*H85>ZOSQ4WjpDbQ?b@0s%0 zJ2{&ZxyyI#kaU5A<)>g{6zHCoW@mu`V37LUuAME4K0`f1bvGw-_jL2&qtV*b=#RTB zeW}(ok1uko23(*Ly~F}A`np{1Tk}8hR)==4JGMU~{lSmkkVAi~8iT`j4#B_#gpMYp zhSjuZIrFD2jSN7grAoV~$}>;P_L}a+YnB?S(-X8bYNAnex16LVLeAc$)&w}u20edx z?p{c#lgJYW(nA)RP^iZ_VlZMtM*f&&aHkX9Cu%b=b9Ru}I#ZYGnXvHoGwf!OL_njR z_gT30U7i_QdJPs6-h0P|G}Luz*j1Mvnmyqyj#$h^&D+h361nTBPH9v>G<9R$XZJZK z0A?&`vMp!9&{sMc%O6h&<810!hsg6uhE%^!@u2lPvl?dHoHoH?&7=}s$P#phMIkR1 z%);?TTRqWBkdftL$z9e*G-%b2cP~8RtBui3ENr(s%b=wtWnyse#5+Fr@Tt7iT+3W& zezEB>lLt?fhpr8Y-eCI1VyJyHue-lzo{A{0!1W+jQrqg`{l4?_mGdmy^84%zp}B}S zsf2TZ2E4-Tl{A%Hl{|w9uyC%oaqxl)>!%7Myh|~sTJh!17^xRbzGr+{ed(_x_=gHi z5j|eWU$<8@in`o#ZNk<=#KX#it%mC*>z6ZYai?3i);l+lyV`!I1CFaCh>;hc-(BCkvzUb4PKC%S&t^74=<@sho%S3#7OjK#Kv{nPX^ z>s&9*Te=%Xtd1SJ(WNb>wvR3Hi53eH167b~quMYFn1**HK6aD-tIk>R)~G3sNz)k7 zAEK_J2#c^{W2AZQ5NSwz(PmNpl!kNxeV-ZnaTU%jv`UOUCgy=&m0q@9{JUH1V&`*t z`f2AEwjulQebWAwYZBLtuQe_T4?~A97ncpsKJk9CF|0TAaaeokOOf=D|Ipx2b&+S$ z_@F8}9UXRa=Eicre8~op**&3?cQq>s7CHB6BuutjMnJ~OZFP{hFKc9AWOMM{K=FV= z{x^&Jf2`y_C~naB5w`P)`C6Ny&cjNLxko*S2&U%b#GWTE+foHYS<(SXsP0=`Xq~jr zTOU)OaGw>Q@7s*~;s=5U=l2`-%^4IJE;7(FlrmJG+K3QuKHKaNaS%}!9~bW&2R%pP zQi51YGlP5Nu(FLe)uFfKY)}JE`0lfacMwDA&+a~>C!v*c`cfrQJdnul^Ii0__1%#Y zeH=y{>ah&5JO-?T$r;TUWPU}qN+ym@qH~+Q>XErx; zw?V{KNoj_}`xkF_KH6{EkJpyW-R||rx??iTl4eC=W_ z-hRp9G4^D&W_1JB%+tX$!8h~=?P>qh**eK>VTDDm#dB)Cu8t#){AJ8#?=h}BdOKpc zma*RY7T>*NkjACmc zwIQbSr|(Y{a_)~Mkfr%a(2X&gd3D-(-PBfS?ID9F#do%m)?RzR(4g!R6gp=N?Wmq3Nf+DA~i;1 zpVha@jP?!%wP-$bgk(;qnkR1w%PD-<&BkYgaZa_Pn}(etoBms`9D{9}9Qy4Z+Lga> zB0ipbw|}j#_;HDk)l!+Hty1G#TzByEu;=KTfudEC;vm0TNtA+j7~DIv`D+KVS4G z>3!3Uw=(oCMXeNkd|&TfU$(sQVbHShnw9N$Y?;$qx6iBn9)|pg82@yC*pCZPZMmJm z?)|#jtNBG$3(WzO0Sm!VwEo=*-Q5zI639}Il1HRXr#DTV<6eP-pWk9iaD~-r7ib~{ zBQFHr-(C6EtQP5er#zv`-*wl){n+#TM{JAsUtq&2141haOBa;6y{f9)9v4pgcCLNr z8&t9+*njmJWqcEz$ChI>o0FxSLRwr{m>EPg==-c?MJo|XK`(LZn7+}iIltZq3*VPj zyuW<=S#hF=Gr`ftVYzO`qloZ2;NkSKAAAZ7=NYa<@-F>MNODGDtIFjg z`yX91qn@w4enPt^ZkB zp|NUM0{XYW1kyyKP)M>-NO1z~02x`3I~q$O05B-%770g0Vvr~zla!1M$OT9CHVFhY z0CL5{Z<84pjv!G`7lFnjNbV>M(hC3)(HIx9D9q0O5Zf5{N$$?AniqL{#dloS*A?+1X&%1X-uDBy1mLbj4A4}kq!lY)}xp#QBwWTeO@@4qz| zdD!@u1_hI6q-BiU(ChEi0F84QZZ&e+LLrZJc>!z}i(Z`poiiDcgi3E83~Te8b8 zQXy+0G%C+b=X8GOIp=x4uh+chb${;bzOL)O{(9dZQ6qIt35cW&Ks01A{-Kw~lL2m%TurhWw~1(lMLfkGg%5ILxVH~_4Vb^L$#%+Lfk z$|)0&77pRzf=1#&hD3q~kw7_Sgu^-#ktiH>S6UJ#3884eYGJ98IN;hf01D$s?E?B& zHz2T?uLlYQRznaFZdhj!*a+c_!h@tK0VbgT9+3Oj0cspI8i&FV{tO4JVKD^C5)YF9 zbsTJh!efazBqg8BKk`unevd;Bg>fdhfS?elEC{TLb|X-30M>M)3`ZS>#5$s=ed7s~ znYjae9&}p6v4V0Z+P13Mhhj;k$1t~(uer3eMg7?VU|?q-(6S?k{s9^UzgiMeeKwr$gzL) zpPAHfA%=qYdr0A&EW^aX!MBUm**|LijzXCC(4teW2m8LF@9D7SSw%PF$mo70Bkp~A zmNa;K$`{*SCIH}?Sm#PKVDDx1(iq?DYI)nFv9i*%P1T7OI~|}$yiBWAmhviAYav?Z6K|xshQ?u^;smH zW&6A84~!j^NYTzJmFJVROPcRjG+w0_!Z;Go@V(+}U+k!#_@W@Jqg};#F+@4ewWl=2 zG<}s(Rj78v6MJ9w@$SPsUeFcO&iD>pJY&auVl2G{ll=D<4qcTXf8xAm?}gfccl3WVYxRQB^1 z3$TiF^TmG*7QEs3Dxv+Xl#BxBd${Q~VN5oeR z-7Dr6kSLrm0*<6WeY&Fn{l2=u$Wxt3!urm`H~0@olT7xt+v=*~n`9eWMGpSYVJSOv zm7r9u<@)0+pt+f`;GkEVD)Fl`cfaeoLu@OmB+Nah(y{b>B%9~fGwIdAr<$M89Jii& z(VyE=To~uVm(=VUV__>dZle~ejE>n+lo^K~Z(GmE5C70s^ER2@VI(D`g}~84nopq} zb9pF7FQhk-!p?4H&9{|X85+^eGE7&u@k%KA$+xMq(>xHpLuAi@rPdOVng5`hOL#7_Ev_bR=@==u1Nj-txI6wy9CetM(QjRK~zLWnr&(+wi%3FhopYiB z-~(@hRwm<}XDS${3wB`-O+#k$xzGZR33N>nVY{r44H$5-20S=fn&`^J=9+*>EDV(H1AITY5#`mO`H#C~(T&kxd zz5Xy_5#nq3)7<<8>5Gj9`MJDeL|$K+uRl-I*Z|CxFm@lgpYlRxSn)}!-?&e_ zvsJPTe?>N?`nHcHA1i{%%hXkBqxe{+&xOwn#GDsui3*?WyQh1zc%NCfHb$?WO__jr zmENS~t%ekWA>@wbw6XFMOC^Aq|2(j0O;&3fbLT{2cL`bi(&qEJ;q)zTZl4SzrORLiP5tl z_L>#J!$$#aUevT3kR&NF&B-=hQ*?S-wS?7XI#+@)U0w8JO0{HT`fQhgO{FFn&=?+@ zccM>3@?8RA{c$3^^xC@@+pM?j`85>I>(58;-2r4hiFe5?9YRk;dr=m!_=HnWp3PWg$H4uOzckt<))&8y(ryi78&f(p0ei`G z53bq2bG^KNIkWhsa<;$lT~3g3mzl;qQ=Y@7;cdWulKiD}4u zYvsSNt^0C|u7?c9N;d3I2u;m={eiDqV^S39Z60(l>%zxblYf4g=mY1#8cuw+Kif55 z*|2XIxEX?3o?E%AfQZ zUli#mEc7Q<{7FSr==lRmepAsOFa(C99q}L=5EX(@~vlq>yTOh)bLFDA=M^ENY`;*AA@|KrsG%%oPX-O)t@;pv>)i2(>gfkyhR#srb+xB#_&SVk~#Q9o+bCY<<98% zSZ4<&+7q8?=-p@*JZfuIc@H${GUx&(a14)|J|PlCQ3UK~}9Yo|HNNoleYfzTMG z$1QIkOxXhYdgYZY9*8y=_NG6P(I1e~9T2e!g_}8aBjb~~V&4r8>MzH3zLq*E7k_pUGMNFi z5`2fFaT@$?#qH}3d@OQxQeHt`%3Z>}O>8X4?tA9leXlh8@Sshgy3j$#o<(2=E6t-~ zRQ(h=${o!^W4A_Y)bb;$-vLY$^SF(8lH_@&Il$iJ<>F=MOBJ)Tws6`US8?#l7CGl+ zklM|FL6f$*t&a$won-mD1c;iw9LCA7Sp8+sz@o>u6H7T!2SQ9giD!5@zMpH02B&DK z_Z91b^wR2Wdbpw)GE^f~4sz}vuyy<_oN7wDGkw4@lx9g+B+Rc8c!oyoA_s`s-|^DW z7Kx=xi~d`G>~KbU*5P32Pm)EW-p?N1b3qA6Ep=!kr}4o0{qNRvG9Vfa75Y^bffahL z=f|Er=V+v1TcD@AE*5>v(*d#&%AH874&vhuuFpM{5?bkSp_GxB%OMj6^EgEaK`zM1 zGf9T@IUJj%HIX`*9W4GC@LGjEJfer4$0UjXQtJ_X9ATL#@PVE|jl)PV<+!Mtsx}>u z%37{TsbG2JYM#@I&59U-znO+rts&Rgg_F$V$8=VTxwzf>5r-Q?t%ITb@q}=`_TJA> zc_GQrhUcjs^a1Rf;f5Xe7C0;c${{5j!R#DY@?)hqcwcC$Ci$FW<`Aw(~At~{BCF)R-m2T3>;q$hZurCbRAffROjk>K$}{-&*>LG-1UHx{ftE_hgYa5Vy- za=vBXieu~C`P}yfb)Xr*7I<7aAxBt@D~`D;TwC=bLL%?(kfuDm5$<#S9Ou_)gO?up z!HtoYI*RIwhJvDPqQ=@z=V0O?=Y-vbH!fs}%!#yul6y5B*>H+hdT&)R=W~STFFZ5O zy=ZyynAm4-^Gjo5gp0PuKE=@%GG@DGwhz;*E%SWTJ+;4-aoYE4->H0QY+YnlKrs6h zIZ_9`F{PvXeq<6n95h@Z|A7^YwOvH8p^!O=0{b~>F99R54YEcg|(X!F)az=+6D#3b0B20os zqUCaq70|NN#=Um6f$ZXr&BDyNkh&vpak-efj3Rd`Dl;S|o^x0hr3*IXLb_g<%W(b8b+*v{P>psaVGnJGp1s7D9oA)* zW$%d4q2Qs7y!{t(9cd9Hp#)|&mTKmpQwT0&_Tgv2%?`bxX$;jOts;FQTk09=I{AJD zJOy0&nFTkyeY#V+wUL##EV}GtMx(i261$P_3*Kigmhh1;&o+4|wqMJWe@7O1ui+aj zd3oIOLEFIrXQ$``Q7z8lJCHjPceWJr9xx8wdTbL+-Qx>H*75liQQ)X&#Ecm7RV|(cR_i3idJLl!D>}zM^ zvZb&NO;g+YeHXS#JJ0MxtlRB|ZE|fMJ#iouEx#h)7%DHS@UvK}mb6xC>%#Vj)Q8uj zU4z8xBrk&lnk1d<43o@<@8{Qi4P3K{<%!Ygl!G<8mCi&@i%rTmqBo1n^@ZR*qI~d5 z_$A$W>=LH!Ahq8j^(JZhZXN2;>pZtX^VjC@#@A+M8%~Q^NDhL9X3jir#WNwbdK2zl zy|@0<2w`E|5c>%J7;X);ow7q2)z`0*h`L|3<1O_4E1foqrzcu`TdLQ;OpcnD+_13T z$5cCP_4_>|4=@%)#*orU3WsN4nsR$V{p98*or1EuPaT2p0zZXB)06rW`uipBOQ0$} zDhi3)4lmmK=6!-j=epb~uq6%m&d^1ji#ijOd9d-d<9d|;e;y^&k(>|g+?nbN3b|Ho z-zvOG9TD9~SUYo#->0sjyQt*7f8W-=(5R9*-u9!<6!VKa`CK^$OF0j&r4m;^efltp zY=!%6J-DNUuLM8Ees&w0+F1@5%=)yyuI&5v>-QR#0lox#N4xdr4<2Rs=YhHJnGS`n zFrH?-8YLLj48Cf&3CxxYSd2ML9kpn!&TirL*cj>gp7d_bcmn%YyHU8cx8>W4Ik|GV z0goA+wZij}8a`x?w8k9X-xmm!`B7uH3R1eZs&wVELwnd&+Q|t;aUH3)q76t!7VM73 z5b+=d7}%4DC7|3;P6Pl%Mh5JNr5L4nJQ@Uc#v!~YjEg`Lsi=!Y#Ux8{%)e z3lZatz!BZu5JUn9jCIChP_C3}h+moURC2fbn*;lc^?!r-9~SJdmjKw5c#H7Mk)?{1 zCx!vSozfEJb?|F0f5d2`+`Lc(G!g*-|DFqoI?=y7wmvwN6F>?CfdHib`am#QS!r32 z6X-7uO7W$s9|-f827yuDLH}EW%E(jF|3j0NqqxZb&|vbE2hTq=ISA$5^uIMJir4#Z zP2pdftjxdTWMQzs^+LcQ&~7Lk#a0J_P0@ZR%6&m#9gGu}@;al=18joD511ZhHXP$b$F2)Y4vg=2v-!~`?oe-bl#PL-aDSzPG|?y=F~kBD ze=P@@!LevO21eXZ_P_QcCH!v3bvViu=LUpG%YcC(9Rw0bya7lDNoX1_|XZ06seGy5SE)m~_SX=~)xcF)5S+5RnKaf_x-Vpf~Anqh<+i`HG{aFuc zurEv_Q$O`dZw57+lZB#kHbh{_NN}1VnS%zsvGT4YJ^iXdF(*VIk9VY2FQzy(HT~UW zqac6!c0YHqVN&{wcH8R)0{lB+7kb)8F@%>Z6XYcv$V=q$@3JrGK%VmSLIa1YDfiN` z78F~coj$$TL2BuPY_0+DC0EU>@Tio&y60vc8)7nNysyjIQ1Gu$Cb4)Kmy2nJxiDL=&4Fo$84n)y>=dYKEA)pg!5hht$;Y{N+J$Bgtru(hgN7@w;Jin; zZxK4WL*2Y&wH0H56V=-OIPk7DP#~q2tlI6qRfeZ#|M=`l_F-i-JEQ3QnVWQp{1Y{u z)Kg!gok}XX)h5Fb9u9UI<1)cZH{MS8pGyZYm@=NtE7@R-Y?$I(G2tK5UZEY#J~0;` z+*xHZrYzBeX+QkNW=vVGPoo<-q8>jSD;nfTce&q5QZ^qkQ!}?X@v0? z%~B+d^y~t^&oFy&Uu3!xHz51+^C8``&6nb*S}Oftqi5V;Mo^DP7n6 ztQfdJ3?AaAGrFdpEj3#bc3yDwn$M$}BE7Rhs5&~c%Fux7d`79pW6L%wQ~4`^WHp?j zGL>9~yA$oZkwzL3cl|_E5-QJzTx!hE(s`JDDIIN~+zwV&wR`3~{C#2=RD(6{`}Br* z-{nk#Ch@*EvdY-QR^K?>@~tPlOwAWaohy(O3uI_BPX|{sv<0f%tkl$80jmlJf8^`u z5u3^L@IkpM2GTKvP8IlFxXXaIJ-M^JrBeC_r$hHRPtbX3+00w#q2IT=_>E@@5_TW7 zRsTHk^4VN5xsMlVKV0lD+s@~z{lKymj7&nb895x*1TjYyO{OUuY;>7-SE1J5R8JoW z6+V5i+*7feItt0Mb2qE8!LzRH#bx~bz@EV#@ILj{iZ~Tp><5PJQqM8ZKD%ROxim~j zis`=c)d0Im(EOGiRbStMWl|i&mPJy@&P-U7h4baWx?BdfjHxC&U~@5pCx7Touq@u5 z{yw~w`hBADOv!W%-&d>`_lWg6>~{jt1w4ybtPdV zwV1tNKvr$I+i}q#LLtVB7|4ewa$?0aRHm#t?BDdamf*n;yJWb=I_(>A^FQ~%pogQp zDGLJz>&21A70-6!Y`^Vv8K8*)=vj9MzWy$E%jE?F>L!h6aSd<8v+OyrP0{CGLl#UT zJI4zKdG|%60?8EffInl}VheUclgTS!re+s~W8El3&KQ&if>h7%(s?O$e?AUcQ8l}} z_~Y7~>QHyfad@qN!H4I^K_fpZ)wjQ=L*zr*pWq!IwU=jlf_?hTai3oWqfVQecxtWM zCpuR@JnsF}BEw*vB(Y6tb3y9p9m9dj+5JHK?bV60_EzNHLsPSv#}8+-eNWnAoXNj% zY;ZpLus`R^Fh`}E857HC)X;Q#_ZabxdlLG7e5`mbC3s|h*7&9d>@~}C^5Mm#pT+Ta zq!0biGv!?f4vF}5bHV*0&j-~aE{f8iIr=Ktk&#*6+kIIrjfRzZ{;2CMeCZZDLAsi( zb(<=|P5dd%R}bRs65qx-DEW%SNvchyNL`y;+S^<4@(v7c{(j6{^&gygCAGFa9yia!-G!r{uV--n-rm00P(;W_ zm`z3h>9z=$Fp*aN`tkq8EhH@Y6B~YW%b&OcGDJ9Ifp$O=rkDX8h&Y4B6S0KI6Gm`n z1XKg<1GJMSev?s>2g=AxJN$!eNM!PxM2G+dGl%1Vb|50c5i7uba1H>F4v}hrDk>ly z2oOx#G3Fjn*e?ZyHPh7q%Kc9N4@r?EQawA6zNV%I z6bp9-%9FAjezO@V`hCZ1Bp5=Gih#7>UI-YRv?<7#$XlS_)Fel|(*H$Gq%-|ZO<8H) z7UmP|(S&A&<{Qb3aSsOXx|vbvop07llDZ70VKivHPbMI*W#OS^npAiWB03$CubEUO z5En^qTD5Y9OKa5AgOw*u-?^OYOOx+<|Kl%w`$2benhBp=*8|5I$?l(oQ@y!vO%psC6a8~qq zput7}Om-tZVR7qV!k&wxM^V)(Q>f0QC%snIXh7OvK)@ypVwr;7lCTTd%YZW|Z9^hd zxO%Yzv+#|tQzCQsl$cu*lAO3W7SA0tKw5-h;W+&$^)B?+Dy{%yc{0)DDX9glxieA{ zmMjVhlbrJ zngx$%aM|$AV8~nuCpN6U?p!Yfu8b=xDN4Iby0?gq20NTQPTu!QbBqXH_gXy3C6 z$~aF}SqQJ0IEr>hu#q{ekl%RqBf8%SL>Bj=1y3L7d9g9T(X3-u!d1L%YRcY_Jm;<$ z=-c{H4t=oZtpI{q%cu2usLytaVlob_>8OBm@hjBocsnrbaY(n26MevU_9y-#JJX3^ zOAP3NwpMT9b>Q{18oReFF;p2EQR)Xdj}92xe-=zMq{U7iFb$?zQ#|G8Ru8&JCVH6( zNaOD;KDZu8+oel+*dITXk)Cx-2>TgmRe$~GTXw9a$`HUNFf#!LHp2lUUWM1;1j-p|`q0coz z=G_?M4v!}x^-sH-T( zo83mbxz(DB1p}}sKzmBkK(X@RD2aB~c891RQ5E+R?%ht1=frcVLM&zIr3VyHaxHf?&zo58SO}T zqV2F`xFoIQD~TK%F6&M^_v+=kBR6++7V48*V0YAQ7B_RZ5!iNFd4}YN+OEAx`z`w~ z4P}d7gg}%ls=MwZ%zGsJ4&Uw9Z7m;uhKJ{ezs>814iB}0hpNUlspGo{*y@PvXNX55G6vfLfW>#a9}>Ftp{epKyTRsHs^F#2f7D-Lo?CFLzljoc!?0_f^IB z&G8Y-qMKH>`=|=1^?twCM+4OPQE`Fkfl9|0<#iPHg8Ppe8}#!_UM{r<%>*rl#!v?K zC-(PCK9Yo&dz2O6x18Rz^?vaQ9{JRTEJGL7J-kQ}Ef{?<`0>H&Zu_-p|34}dUk17! zIJlp!$uD48w*Rd3K6O}VHF4$QRc@b`b=^;k=KOot_xVOtEwT3VJ`*%=VxO?&7%${x zUQNX>FD-o?fi)ZYt!KunV#`5I=ndrH#P(tUA!}*>yPEIk-IFTX0ggmRXNT{NUp-2& ztwFhSXOH=msV`7piRO)N1YL1hF^aJ{{UOj(v z&#S|4mPh4_byyT($_C33Sobx1xH<0l(LPU*?2jskWuWTSWmV-3r?&7bu&F8$HTdaH zP}4X5LuhBjfY$b_{CfO!cn!Xe8{he1#Z}?r_^`<|7&|Sw;(q!n-J3h$u|OqxkS89EgCpTCH~?5y7UYa3TA5fZ0tj-&K)r~J3x(lHs0%}2V0d>I zB-{rG!Xc2(M9Ccr!=O<>&}|Hylt^3&g~5ncBLL)#AeO=+ut1O$3XOAyy8uC$Ux$Pd z$sdV?{zG@eqgOjB#}5`7(?BOMWQGaV-dEy-Ozcq-A5^=EjFHKf~XtVy8CZ|LkVg5^#hx}_l zX$Y9;5&!QzX^7IlG&vdYziP0}@p!6ytq5{&SH<4cC zh@dnnf&vOimtXK4&pr2^@7rVSk+I%A=Ui*ekw2dKikR!@Nke4h03s1{5%Up)5uYEL&0DMk4x>h~zYLJkFhjMBz`q%E~CnK*-v!y>KUz1mMyo01E4Vati3* zrvZYj1AI|HkT!ydz~DTAAajH#iU5=)2Ur6Clc4yogp;_FXgmr_{3{%!jl&YjO9D{o zS31ZNMZl5pNOC>7|EYHp@Vgx*D6A*Z3kZeC$^$`qXbh2j1CSnu+#DSg66cOOIX8hw z?wJq3KeN-(7{{x~(6nBWj>JDw9&=I?^`bxRGc-;UcqY)7m51c!X;qP!f3z*K&1I41 zkbM1%T%7p$?K`_n>V{)28&|_;k2aRpmX3F(!3lmQ$pD3)p2+nz{4Qzt*}?us?+z%o zCXR3B=6uU!`=nNAz)OuwL3}DEE1Nr zV1JQ9-ok5IZDN2FA>gf=LN~L+tENX5TsCh7JXcEcvezPDGWuW2C|LY#7>FDjyK+L_J%xulU0wY_Y+=SC6*3yC9yw{%G@^*NNw{k zHd~RUS&gYo65PJgDh`R|O`e=eyR@J7difOvD{Pw!2GqR#X$p^E;5CvyqhcF7w!pxD=Dk?#7>WVk(U=?QxArs=;wAOT&@1z< zCku^*5owcpRBm@l3Yno zv)eFiV3>J6zE|K)80MYoyQBJYkj?GhjCUxOV)5zWg$US9=WvI-X;s=qlbmpvEZ9wk zmpYwZpL($ma*D911nA3XrXYA!w7@+slHVsSa3uhkGX>D6TS7^G0evwA6olDFEf?P! zh+ck_QO|4Z2YCeOtLx?7sG?v`C)}6ypW@>Jm#j&Gjf-@Z=+Y~{n^5kEOqhmA__!|y zNJOqLB;L`O@MC~*m_i;L_6w%5ea*N%70lqyX*wLAp4?o>Rv#pqR-0COO{{&ia_zyK zoU}|+H$}CY(@4ThrM4yJX!(1$nH4-n#Xu^~y1xkG+=l4YwenD0J(@LrYw-sRXG z(aGu<8Q9wLV|W#{;tRiP%`FI1`kt#qd09mbyxq@RshQo`Kp0RZ?vqJHY9<$#FlP$g zZCU-8Pkk1GFh5@Muev7wN<}K%BNGT4v=^-NHA&5cNeXjji5d(j+Zf33vI={q0D1tF zAN=TD7G>Ivi?p6Nv!DC}YCj(UddTg7KVdXsC~W}r7|rpm2^$Q&5orITDA>Z^gJ7Bv zP(ONYM0fUanrW>3-FRK&syBO=L_|JN2Hq0}38=t9j*%+%PRqA0WGx34yJgoD@$*Hm z<)^<$um5Vu?X&6ZG!m&q6P);RhGX0|XxwM`3--Y?md(@kFLwiq$}&*H9Eu=P`I^j| zesAY8m7+H9;U{zLPcQf^D3w@fS;N;pvTKB%VWj$6806zk3UD~Qx-+M`VkYi7X)k|# zZZCGTOwfdV<6VbL+l%}cC3%IgX1?sBt$w$zrS`pp4>e0>9`BxXj0#}xqB~8U_sT;l zO?YGncw;81cE(2S6&py~`c5dvZ#H(JWfgOVSJtFP_gBzQ9`eQQ7nDQGcOOeNzqK=x zP*x9q@$|f>T5^EX^w;8cV4L4qfuh~c!ZHi>i&=pfQJ1Tyay+THg zP8&{v{N1WxNJx|UePtZo8PLIZC@ydFF{t7@hcamYyAZBeQGQyCK}novb(BZwoWFTw zvLJ2A9Mz}d^f>GFpT|fSBLfl9SNR=M1~CKlMz6xHmtSRftm?-M^ctFR5hP46hWNzS zbsWS_a}m%*&v=kB&biQi&iH`3g2i+>JKIoQX<{gHL2*oLiPJVzle};ZX-gk|*(>Zy&s@{bDGy;3B1sy`yN-baB@E;R#;o_P zQ?53ZAhs-%u3jpc4fyelTHa&&?n?)Ait;ckfhPs)LaLgV_I9>iYnoj@o;@g={WAAs zzJCF+_J!5MeKfe!gI46uO&mIRKGSoDv)OeTK7C9$Pvk$+Ig7jg;Br+wI^KbpUv!}^ zwZ4=?HH+~s2Y)N)T!Khc=&M)9$YX5Jc^8&(YrWF11?o=;DK0s5mdukI7#U*VW-u4C-*+a|irWs`$Vg zuiaF0jwc@`wjXUz&TcOpEoJ`EdnSgnQT+QkKWF>>j#sw4NLK@?UhF# z7G{6$;oA4gkR{NWj7>Na8Gj%^kSWR? zjnKmR1D(L+Z?Z52psWJe`5y#zLO{QXhYV^+D-;pv1R|p%c?Xm~(HQ{JBhwR5RTZQM z1wu}W{NgW=u0K)Vig-ebs;VdD$XjA?cq?B7@|OZ4Sn6v5<$s6&huBV}ll`1PhT7U% z2m;C-sBjYH{F?z!R=@A4c>-P7lTAQ6sB35>>ZB;>GMVc@zv)b#e5L;vot>QNZ#v7m zciq}*f+KFQQL)kdHdDf#A#X2BN`teF2DfA+A#_YeEvXbj3Od%lIu^Hz&p^dz!V9!- zJr_!dIc4#D^)$E6n4d2j&pku;a_;F@0qgw_rv-LGy>l7|KX|T(jMr179!62Onb^~X zGvwK`%`SDuCntKk(Vk-1prFD~%=lJTYH{r9QD#sEze~bou z=iI4t5Q0#crzb6a-<^PSbM`2y*=35uEF~T;X z(W>0Ngn>EK#-}N<`D7SNQ_?LrZqB7MyLHeeQDhX+Fjk`r_vtxz@MQ%G@!L}}iv%lo zj5PALI5bjvK7eAzpvQG%1Z3Yg$lA-;Ind`Q!y;S~&n*hKicL;qO`IJZG+j#U>;s=u zOujG&d6&WMz&nel@EAOFU<>f!ej%jtP6?(2_L25!5+4h5K74q4=h{7&=&&_z9f95U zA9kS`XDOZ)qpBzN<9yKU6wa%s%o~p4`rSYj2``#R=R*AW>w{e^JLWEWN|jAb!HrMl zcuRnm*Y|VIg=xD64_Y>TSYJT+Z>A~TCPK7b6tNzG#X23Y2j+bD7#4Hlb_HmElK458 z4~3iJL3ea@dW%hfCikkHUbDtiXK2N0?B+b!Wo-XhI8k@+#`|67p?mg}MS|xwLis7g zC7FSALGDsR>ml@A`c!-UiNhJ`SqFoWKSS(lO@6-S5DrU0>gzyjSu6&=JUDculmk-e zYEZ3c@GMiYww!+1!dy$iI73CLDIR~?&kZsY$(DLb2gu15UY*NzC$ij4>=6wqmsu`K z!Iz5|ft-<3qLqp0bvr$E$`X7oJ6vJ|(5Jx^9rK!r-7<~{)PBwTBE~+I=MxpRHnTbJ zoiifZS_YKt8mqaMk9Z%)uH<SrYmlBe8!BSu5>d~ zI+GI3+1j%KRT7YitZBLHOBKwt7H!ske}>r}pdL}e9L~h7oSz70=4jK?y5%oS$1GTu z%2G&))_9-FUno$QU~sGCwG$hSt}evf z*k(4>^Um)d9$2OzUR37JN|e#F%Y8V+w_Lf*yrs0yP7{@fOoF6vg_-b*vR6`8a#!+< zrodvjyOI#a&+VTmkMpi3obALvyMlqd1Ozb!u>?`8q=ZCWm?QeWRC0x@UXGXQu$gi6 z74x<8Wv%6Y#qyD9J&Cb%bEEegYF96qG4zajN{*m7YZBelXag-tgmm8RAw4DIT4R4r zVV3Rq%N@S?;kB{$hN?QMX1pRzA{GW7!U_@*!h$}6U&XS7J_t1e(|YvW8S$zPCLgu1 zqB(-oV$Bx0lJ=6P#W&b&rN+dGl5h+E;&?kb>n&^elk^JvJbxWOgKwoQEwQX)}LcXs-QL#dN6C4c0eUQ@jLZ`KHJ64_&M!aiv;llaZhoib@XF1lvUjrX-sd$ zVMXbzwrnx=kR`gP3g;D7CBdGMkY!Y5lx>v!#*bZsFOO%KYWedPbRV%#+E=lWwlTA5 zS`mG#@K)+^#oNV40gt}DH5z;WR&VTMsq9$D*yvbI>Gjg-Q4MrDI@yWsZ-Ge;<7_@_0nKVB7lP)3141j~lfQqJI>g zv*|X~&#ly6DjYz@0@~AV4Low+f)o?wNk=4+`tACtdfC9PK#Rbbz^{QjTXg#ukA#o- z_8a%DXq0ILX{c$+X==`Xi@n&+*6tj86kCy;lzb&gfs4eg2DOzv2Odzw$~SpyDflTm zc#OE=``M6hpr*1Pd;%vJ6e<;sA!QIAXk0&EAN68Gf1LCX$7K$!M4Ch%6PD4mjCKqv z#c@PBN}67};bM*hw|%FRPvuI@zLyU!3;V$&lj{4TfMnvE4P3$m^roR|T##w>JIpGb*Ye>UCZ}Vq~}lGW>k}8%<&t0O{kAbzMs( z09JlYd2wreqSfI`@Vh-u&SK*S#)-WJ0bQHBo9CC3>sIRU@Kxs`EJKY>O(WLwy7Tpv zpr`{X#t_DA{j~1rl2XsdOPYh8F5@mj73V7czg{A2pWo;V_mTNN|?4A zRGg@Jd;QJeM_kObL|9c=>aoHx&nd@KQ{ju@r5fEWcOybH3v;P8-)b^O_DAZrstNiU zxV`?7+OT`Kq>F z%2S%%7n;`%NR+uaZlBq-yUWrkk}0CkGJFGaL;A)#EH9I0U~442sM@%s7PBU^#+prw zqs84`e*;=F6Rs1zE2d_2&GcioYQ|i)<*o15EgaVL*(LiW<3&xE=}jkden_Z^HmXtG zzm@K1ZNOYicL1%H-Gs(f_EjcS7WQV|{|Z+S0kFuUv?mf@G<3>M4333&=)7=&KA68} zm9{CWsJvs4jn4+--0CL2oA!!*57}&XiEwOn9(KxgdiK(dShVzJ-)87>QCXnfYK4rW zT2mLUKcYIi8tok>UL|u86kI3c;cRxxcKAX5^X<@8r$qJy-A+Y?TFj%#`1j)Plxopy z#g9z|jQvG8jmwRtjHYpm*rwgP{dRX>PKn6>jVOfzA5^GzGBk9lM?CsqVk*_JM{Fl!ASJiYEmCOhAuI~tps@W3Y3;q*yZ8!2+b1pCD zWL~;UTKW9>(r(3Jq04(*Ti@17 zlFV{Ksdl0_5B`PPu)i@B@Rt>-izT~$Xe`-_Ji*rgtnAQOO)LTZTL6G`&>kKrvj2Eu zFggL{&C=XgreS z13^SI#+@wrAdq+*76`h6N1X(cGZ9E6+0q1n+|lH%2xtNjB!k5f-BBJu5dPO8 zk!146U=aV%y+~M31fJxBL6C?*5Y7{aMR}8VL;R{tI3aiEe|WLKSpPSO|7phlngl>r zq$|W<-t37;9x*N>e8@*4PY1vH@@I?z3UdubL?aOZ(C@yGU6TLyZvF8n4*(blfdIgN zKR^X}d9vN=0sLEok{#-k2Z;S!gD8;ap#RpOaxilF|Iy@?$bRzwXbLd$!1F(vB9uHg z{kH~&LjIKthQj`($;(0ittlw}<19ox0*yi8$p$+RWQ7hyk?#ux8Dc$fQsgAgIA_kx_r2Hk{@Bl6d#$zCuX{ftCfYhu5NTO}Na$SXeCSZ8mm2^T6#xi^L&6CtEJhnnKmx_Jm7!oL7%U5gK;$3_P(=v<$O!BD|L$3!2x!tN zGoUUG?&X0(;DN?Of)|lMI%a~yx)Kpc9C=qpT3#AL(tg&$k|ha%ni>F!aV2*F{i_=w z$imkP2?W951UMS&4g{IN-H~{p3@N}2_}>Ex|2ja9BS+(q7{Z_7AQ%=yAT9Ag#h=GP zW=K4ih(nO_$^IiBIpEhg43QXjf(H-^0YiWw9Tb{Cx&cTBO&X3i5`lF^lKaLJNHg;U z_+)n58DV)9m|8cg9w2a~PRR%B5KViaM|f*OC|?-gv}=OsJ!st#TXMa`_~FU>qs`8^<@W=$ zOS-DPyPq9J+5&2{g0?p0PROTkn0R!Zux&ot#y zPKd17cX|#h0iR5|P>3QQC&na-DRlI2b*WID6IFUH@=5CgWsM1+Qc5M0($X`4RU%mU zS*6g#_!-$NNkSC&s)baa1b#ZNBcd?cNnLY?6{mS7pM-JIlFr z{1!BlZsuyKj|zpwPJR~>FVXdjXgA+gGX{@Rzx**-#u$2vU&2h#>XDW@y&PqNzW1x< zQZwGN6umdseB%LqF@W?CE4bnXndo_bx(wucY(^<+k0vxDvbEg}&ivR`kz@K2@7|o- zY*oAMB#+kw`$gOYI}gq(5s;Nypy{4k=0f`6V#5=8`?fPu-XcGgV$;UCaMsXMLp%ZS zmyW$jZv0a8jsDD<9itn|TxX=7?@bnrfkzp@jN3B>1LC8U;m`}uN0_cMc}r>X-kxE+ zGZIv2@U&)Jgl@;0c&jwmJjW0{X2J=${-z8om}4*Gc;>T1RjXS7_i_p>|4nzoF{^mg z<(*FSPO`LG>7@ThNq*g?Tv~SJ9hTHMm?Lg`7xEciYM}M$^3K&pu(o+jGIhOrSe!z%_m)#P>HJR{`vF9T*viRwbUTQp98Vp%`&+F_Xf%M-~ka{aU?`i+#5;3nI z)8ILh64{)k_OUR^otia3t3=&#G=WDF<~)qu@%ZkfZYJ8J&9wcNG4v73S8QDSTs#tN3D1AX8z)Z3`#2(OV*J8H=!oEyqtTY!+L&6EupYM-DXPZbSA=rmYpmTRsk#no zYXR7OkuUTV1h%MIO8An>nTF^x#^|??fvs{$-<(q|E)bj6QdgPTq;}-8HHYTN$!n^^r|gtxZvUtN5*ec73(apXLjex13H<1}7tL{=+UY>;-aWL4jLtLKyb_Z-Mvz1u!%H{x<{piZX z3X?59Rc=E6zKFH0OC`bfRw_GbLGwmzTY=M{QmJ>=nN5sF%$Ij55&j+}efpKOX)r_1 z8-0^+SFO2HB6Icc69sHfmlJF`QjnyDWuDl!k~N`Lt#{FbwQW9Y0l&cMtunC4MRni0 zEo|uKBfEgnqDN56NinF8=mjFsd_?sq@)3%S;!wrkD<%?@kXR!yW2~=(j@Af<<}vrZ-K3drW?Ncj{i( zft4KV_2`8#CUg4%y`T$%O9tI~LA;|&l}^HK49WI0@YacLXx&->!>~PQuY)J(BtPp; z&5qLvap!Q?@2#UDcCbqAItII&;M*1Jl8)_KalO#=;YuHp*>1Da0q@@!=-nKs9(a=J z4EKAg+IGB};kxgs?7!pH(7Y!jNpR4e^)oB15d(4pAkvn}VhYlZ;1CLy&lpc`akf1n^WpJtmki#euN#z8 z-dkoqKBH=t15!GPy>7`;c(%F&an3dnH8T{|Z*3XjopSk=P{odhGUV%H-D{Jnd#*;p z)Em9@>O)TJkJL6WYSTfJfy!-}K`L#HQwi7J>Pr9S7c{}S8tm;Ggg=~pzwPILDDtML z#!|O&{rM)W+1;GwPwNMM{=S3o_ILA-9UcZ#>VFq?Co#{T`0ywFkm2SJ`1nOXe?Sk&0Og7Y z+5^e3V+M32K@pZnf*TT*7$IFza4oD4&>l?MlTnff%E*Hq|HemTzWK#7Bn(5CBMCrz z5D5fH6_7pzM*v8N#700B6_5@T2q7o=NmrmNJ_KEJ0+|C5E4e>D^W7MD_>q4v=w?pK z(0lidz=rkar1x&`H z)7kbpTbdYw-w!3n)Z;rSPIB%w+6qD_OdiB9ZthPxaC7!5s#<4?)EoCccq(f&2-Y7I zv<-t=-NkQSvJcozM=~jGK_gVS`|yKv$gd02V)F?~tgZ3M&fJ`fXZ9PRt)hru4pMlia0b(YTlP(Mz8n!*HMs7{}5XrQ})MX;xoXRG*l zu;bCgl)c+&P7%TD+}iy6ox9dS=?oN)i;;Cx2hpA=b_&N;N|WZ}=mBRCMeLJSB4gk! zzNP>tv#z;I?iVYjryUF^b8bq2mNpJ@7=vNg1BT36-*0?^`)u7+Od&vEP6`+|zhdpK zmxFU&-|0W+MDO#T{z2s9U^xbO&VtDWDD}MIKx%{*| zt33IFa?{f$S*2>@mgC|#06Q#3IydtNMh2HC2$z((v*M(6taBd@Us$SHV%b(aV5bew zL&QT8xq=OOMcHepYPf57#uAkxxnIP?i>qyZSDxTqjb-S@J$6Auo&x-t{aO8KE++)Dv?A#M$EM z9!2PBNy4S_QigRD4H^u5G=*7rVy<<0<%cvx*<4l8Rx#!kX%#Wma}$=A2o)Ca6j&3> z5_~V%0=(O+tbot9Pfe%hayOqJUtr95q@CwVcvXvQUEg*5KkcX+G(myVM;s2b(pG z6+aYr7e`n`lp7<>8^?*`IxDs-iVQHBVwzzyR8cL~BfM6EJvKH=zg9n6KjGCac8Lpl zJR{Ug%iGWc_yO_YvZa)zv1RLu=xh1c7t5<&e=hYc{q|aa{OxO<@egG(@Z@tkkPWoNH@0zwpcibhyrxpO&%Nu(@AwIz+UY?7{ ztqQf0VFV8J8d`SASOm z+x2d!xyyezdXDXr`5OMC^^n3;{cG=6Lm#k_A0>iogOg6=Pk1QpD5pa{hm>jbw5Ns! zY8K|wXuj5D3L6N!(xEEgrRV%|H>r7xVe#yucVyUb$naX;-t+j*w8%jIL^`IkRdm5z za5husk+zT~=iab1nkvB-!9Kwa?R4#{`F;iL1#I~b3$FM0^xW&wLsYt0zi^5ji(%^` z_8{g9<{!?La2{NmZuC;=P|H)CJrJC~;u|M@X~HJ6b$_3=TO?CNmv!V0bznJMUR2>{y;>!0r`q}gI}lnIQHQ!2EM6;p2^7#M?dE8lY&DXRU%eBwY9GfQ zd!<`Jz5!kOF6OQHq+$bVy|~@iV_Nr92dq=C2fj_IMLzD&Ll0T? zTg^_azMHPUAZ{%^1mb_k_oM}X8ll^pc>nVKFV9Ti)~5Awj}4v}*l{~dIU-H!>Q(}Y z`a60F)<*u7ZfnJF-!%I+SAF?5Ic8O2X>GTMsdC;J@M}95q%DYw4SW!&bjT;Kqp%x1 zaM09vwVWLt6gp!7O*RAeo2l~3)wPi=iqQOUf2-^L#Q zn5q@t;gio4-Sa#7Y&q9H=VYp-5?7X&7se1R27VivcU19}pl8^x=;5iY#eku#<-ITJ zz8`jus?QE`COWw~era0pD#N!2<<6fzKzliwH@XRQ*>RmaTOnXB_AqtKx}_?+ znZs*s^yN|V?5gP-><7IDftKFp?@Lw(m5cRw%+Rzgo-?q1A$znX_Aq0QCrI|V+HnP_ zso{X*|Hwcs4$JX3cZcg`~nFix$q*gsonjd(x z$uw?MZ(LM=5VZ82Yx~=JNxX4R5cOWf*5SWUTj?(h1^j6=Ucrz&JrsuIG?KCPzbk7L zMiYZa{Sp8mZIqiElH@Lu?L&K@tQ^P_g(2dBO7fsvL@WV`M!FFI5LsD}E0$!4;_)aT z$Q=j2O=4U)f=EVP1PX^Bdb**JK0puwg?1%Lo^S*XivfaMa7c0>=_DM1AQ_ebkSmH* z3Xj4ALDCp3!4>HS1mS)*i6D_b8V&!O?m@)3!*N7UG@M8Pg0Svb4Du$a8vJKwJek}b z|K_y*Wc^C%O=RIb! zBv173&a4j(=>`A;ArJuguMa3MCnqBZbOZjSK}r5I`2%A9(jfArchLW8P+57>!{Q&B zoGi(#{f8zmPkO@qQ&aj^J}?wQa+?1)4h&WLmnJ8p_^%pr^0I&Hg@A*j&`2D~J_mx# xQGQ6$eSx5>7&k2Gbw-{C$P9}m0LixY&)MJ!a2(<1WaJcNp#Tw)E57dDEZARr(hARr+y(%qes(kR{C-6h>Mz@XA0p>*faEsZn`-QCTdL4Du% z-urz&X6DQ}d!N1cIqO-^T5GQbP!JQRXJ%kS0r)NZt@sW3jcGZcFq1No+8S7(@bRHA ziaHqUJDJ%Cm^)cPdnu7hIOyA% znHxHi$~!yRIXgkSDLB{~IU5=~z^<|~a4;}K&pnQ13p+)PA|QZbY-0qQ1c7`ri(m|Gy5fcCgkC#x_oWn=^{q+BiY~I+Aid zc4t&FcC>YNFofQZ?f-K>Sc89$srj?cnopM`@( zkuFfkv+-)@{MYHPQwNVvccm5Dg_^4c^+~s7;YMWww=1IFmlq)qXY;<-m%bQlWv^~4 z7zQ3xFSJtFVC^r%7Td4pd%3U5xh8l@ zga-ZM4=Vl!j`SaUhk_uP{sa9>YENGP>KTh;6*jb0Hc@OTvqZIxvr zug`b0pBVauilOaV!cX1oiTboWJ;oE~!%Hc5hfLx%Nw*@YD*%p^mbp3SXLQ-*85cVf!(lHVlnTOGcp zi`1=o&2jujX-kwyUWG?nwNcAEy{gH&jkxBceS<)Z%4GNCc?es}8-xW=i0Iai1DQdK zvY+eZ9!Jhdj$uo7Yb$`@g&Y1(g22P41YfE25@UD1nZq^ZUVTjbWNaPrv#SQh!+PPn zMR}5#4d%;9L+%hd>Jmcv3Zp8sk3Hwi2d|xZgYu?1t~%aNM|yU_wGbrj-!XbtcPQlN)favbKh3E7Ju~D$Oesw(UxFKp+@{6B|q7MoHy-eTMvdj!!@jnfbH$e?Sgf~?ZF69}9GfTl*)5%M_+1GT0v;0l?C?o`Te zCU7(CA>IvF=bF`GhuUMY0QPks8gmYNRCS2gOXs8|#d7Q8u!wT}i^!2hYmH^VKPlUH z)6|{gC%a@w(juZJ3k$G+FQkGAStFe!g?hv&y3FT3&`Xk9ie!6v zd`cC=@Ql*ca-3IL%rR9%+VK+o1@u*zy7i);#zQmmjeHA@)$G0JCiIQ-$^jje41FeZ z%3a9gZV`l~PrbE4EnK8Bk@g}WIFfJDpT=KPs`!H$)FTnd<-XgCSjWq2L7z%H)?~#> z$FbGiqLZn~kv05*QtMKD!SW4K!-i73Gh*xSah}?Sy{6bV$R&yB33!(}FMIKG^Q+9x zgsnaNhHK~0c9hoyS=i`?y3iE#QNEQfmivVXal}A++G7sU6G`#56{E$_ziEBJoX~dg zF0QS7#imahXPqTvrnMh@R&Y#$j|MVbLCilqOgzrHEt^pjBSkuofPWX7!&j#e<3Q0k zk#oB*n3yo@DPd!dCt61x1E1yhcTl*;L6^1~@PWr0`#%Ta91Na);YH}WW=eP*H*oS> z!a@8VZn`(g3()1R@IQ&>$sTeg1?zPcjbtxYe)PK!a{g%LZb%|$({alwB+^=aE%}Ta zQ|G5(pZ{-=9JOk4r;r-$b5&w%pbQKT(B2ho%!>tZ2za0EBn{_C5&3BR;C~=-V?s~1 zK-HLji(!#ri(&F2Rup2N-+!dHqOGzj`dPAU>2o7quL_vSLl4X>fN>je-bHRz{~Yz(xQW+PtI`XxF+9$IKTtG;f++oswh5|mR_Cv4XR1A-iRLW;qN{3IczyobzxGL38uf`L~vw{Ul zWwg)VwTFjzVw9J|H0cQ%OfxYPly*@rlqc<0%LbcSHH-2FOYEqW2VM@VlxKC(sR4d# z&BxLo7PV_K)Yy{!QGs2!8MdK!ohM)!H%Deo@j=x8Ep%IpM8< z&=e+BUpUQ-Q2}tTQX0^(_FF?KpU^r2Lkl=in-_^)$Q<>BZYf`a?G5JIYz$`nOsu>t zwG2(v7n;_53H9huL)8%R57qQO$_W$3v-IJ-`YC!*-2S7h1GA5PB%Zz}e^>Q3{hQJ! zmGF#VrPpUh?;}IYk6$yN;r470W?6Od8>hG_gQohSVtyS~E6jU>NRMMRM+g2gYj>%I zSd9LhN1^(q^!`z8RV+ECW`&BvCQq`KD`$Nj^sVzKOuR!0%pG>N*%*^mSGp$`ZGXIn z?G2h*>5T~-+}6sdT`E+vdLK3KIbmr_GkjlB-oRTNPCGKFux8prwI0-dFk({^#N=dZ z{zW#Ss^mkTTxSMXuA%oq^Gxc+TBq|F1=RK+>MOZZwMAQF#E9R96B1J__#egnMDI>) zZV_rpKozjxDY|D2p$wcQreemZ=SY4i;60M=W-nwkhK#7W-=W0C~tx zBZIoTLl}%}Oi$fEeHnaL*24J9$cgVW@`*_#dPhcfBvZpRa% zp%hP@l@xd?ckxMr+XZDARCPr|=(XJyRCV47+=dgWOq)vjKN^)8F2BpmAOLW$$-t&s zrq8*IC}%7K6CYZOlqrQ?gSWQ5Gl5L0hy{l7*JMK-e@zp!41zHpGU;Cu^UKMl>_5GC zGmsML-om*4Ol~KXW_mXnot9y$OoWyIDxiJ3~r=C<5wyb_wKjK7b$9H>9I^lo%-U%Z+hOcNy=mIM(F7eddOnaVp%kb0A z$uI{Wxx#TIot(JOLu|tsow`!KW?Ed*?l~%@`m8VepwQ?4vK9;>N5q_^z>4V|Yyw{S zkHI7xf3cjiZ;!w@ZO=ng-W2vq_{o1}3pFyNWE#yJ{Tk?yu`d-w;M`QJ4kUVs8y9l5-eCI;QlM=;9w`i%zccTVto z7=VdD?RM+Uiyer|-8WU1dv8JcNl*M@+?#=L`E}4uuQE5cAP3`|k|3H-jz_(*56k@q zxQx1wsYu0D>c;JUKh2mXFL4y%f=!vbNQKW{hBa|ax)ZyGO<8@-oFsEkZ^wh}K>wV% zvdC*cWZd-aMxt@e@pQTKR{DNiP|T2R?Y=-CU`a!KOn1f}b%)`KQfXk)!LMr zZ$E|8DEMk4uc$e{YPh16!REaALqOewz!Niy2TSYr%FVC4z9b%kBz*{%VfFWibwBviUovTM)8USHH{6do zYh@K(?1bINm%Z6S9^OKZAaHj}myaEkKMgZ)7{$&w!S>D&I6r-A=4)UrU_o_9w3To_ z*l0{hxcu1K;dg>jjFV3r5I={)Ge_{7rozNDXJlGA`leO$zQW}zUHQ+0^%o-rM)SfO zl=c1Ks?(>Nr(%I>S5M7-4H&CGF%=^4%pM$eBzgFm zd0Hg2bN5yll&?lBg9hNek>oUesk(K8PcWN}Z)zdOU!!dAjIGkmZpn+=&h1r~SP5$= z-jMXyRr#)_95x-{QQTewyP9ulFO610e0#j#Ir;>+Mt9W=81$9g4~|@NdTgXaE^l3Z z=)ouMO#<`K!|1N$?^oC3NSqI;74|p1_X;k*N^S<5Gmf?n=CEsK{B^6ow$L^^a_sA$ z9?u+TMft|NrV%`tsoqfcYX0if;1K*ZUMfQ-?bX}nqgg#4^Ksf~h$WUWi;iuq9s?4x zuvo%j`dnQ}hcnHj*Mv|=#N{mWgL8?7aa46H9z)N9-H_x$7D3JLHxE|GH_mnNQPz7j zeo$I`q_~_<#=4 zddQLwJE<>FLbpU%)`nH4NK5zRzEn&*Z80rwwSb;iq_p!>1!N7YP;J`e$vdNpgF6=A z)P!tpKhSLzD$!foA7)!x02g#?g(X`@$7r;Ifsh&tPxapG96)gMID;>#?zShraFmiG=-R+)2FK&Z^>yUwR zG?F;KB=^it>8}^9f_HY|Mp8vHMsENE&hb`f`YO(+$d$)D8T$eYN%fbool}CN+6vdm_bJGO)Q{`>n)TQWE40~ zC%7`PPMy`^S3c7*cOk1A$lSd(g8GpwfqQ`!DWASm6*wfQMCfQpRPyKJDpxT?^}Nd` zx!r27ISv~F$oBzhq>FxG&H8&-0k!Let7VUsnIBt+G6|P4!A1=iCYp}wocTs!i+?=Wl|YL(D}mC(lR=0ppNFIE zMP@=VWC8s@V+~S5f!H8_x-P%a!fvk2>P|`}sCCcU6{bSYUs@XIsi=>9QQC&J*&1@0Azs7U3uO7gXS@x*KQ;8#WA!2^2 zaNOeMNO_fZOk*URX~Q=F919WYbHTQ1UqJ$36pBlc2JNCR#2XN4NU`7ob zNaP^?!whg?sa>{rgLkL$%_qt0u@yAS3~x@r&6Q z`M7}ESlGBE1<;VL4Fq@%FuSigH)+Cqz5P3k?HCp#0VPj0(QLfD_<@SUl)d7^NKm>vI_m}?BavOZb03eY^a!^LQw~Gd?sqI7G|x&nl34# z&FJn-(JC{_p${iF0T5JQ0ifgF!z#zM=L$}5pyrQXU)lg6Ilfb*uC)O{yxo%)bmmDY@0Mf#T+G7lkNl0b!Zak`O>&9KB+69*7A{_e6aw zbs3vZSeFEJXir9mxgw_4b|u!w{0`>zYZdzw+3q01Xmt)Rwvrq4J;G#>_Om$i6??uR>8AcpBAK$jP+R>o^%ld)?#$ zPiWN1E@82TAIym5Mi(#IfmK>v?L*HJ=`g((fseiPqAo7QT3@U;!bc70iL*WX``$7f zy!-)_WLhxLfEpbh9Y>gGDR+e_8aAY9WF_h&M~0FsIqtg3#FBu_0GcA?xzbGAy;!d? zCA`SUv?`xoiAh6)JksUY^RA8bs#Q+-2M%GjhOCVF8sjaD%VDoY=Ee+l64riWK?3gH z%KV_=4w06-o{rtCh+*|oR61_i=DutJ!0xc_F>Xdn#iLM&Wg?-;+;D{8eT>(gDQto5 zMdv9AQW@cilSY5|8oO(+_u6E4Wf-Mw2KSF=EM+)EzzJCZ(d(PO9TGD9$%ybTRK$3f zyI*75c72Tr2|Pfk?WCO9OMdP%cCcP1*vb#cYuc7S3ImyZ(hmzhhput18TqJ$tpcS< z*=t#v^=D~d41#{xYsxmP)f%>n`jxb}$lNM~ZWl5SJV4r;!A}Ml6e-1qICu#YUVF?( zM}mFf;hU+_E-KQ~L})Yum=_2?9(5Ls0!H$??w!-uOpvv--m=ZQN64o@Uz&ACNNxg7 zRrEYAojGwK(CR3;Sp^o(T1CY(vaL0x$X1M+rZpuz%nHn%Hm>ibg`}(bds#>ypsAeq zsh77m1n$-w=*X9NMSTQR%YtJ?U}$6cR%0H97ljSlYB6})P<76bM0z<>md@qTlynFb z>P65*^wmC0?r)(l;CE8)-Of{^iU=^H7AUJOo&9>*0pmF8m8X^+XdKg6vwqt8LKW^B z8I8Wnjq0$G)fJPE@x+mDv3e)o+(5$>Zw2gO5Qjy~4vvrqztk8Z3lhCDTOoBfLwH2Z zn{+ic(b7oSguP~z#3iDmV zHjM0r@miAYQ3V}!10NHp(1-WE>)YGv$@!YkOu=x{ z#8YvXNuCHm0Q+t(kgR0RDA_W*UQ>57ncP3%?O^!wP9p(kjFdBV~Kjjm6imDmt zDxj%H2u2bi!(Q5BJXYCZBj$S6xhC-9tn}%ic0U%gTp*x@q~6wYqCwkL#!VMP#;Qhg zfP;)3suMoir@$ySm{2itFP<EY$H_OjxG9s zyPRC1S1mEJm=H#g4C)FO6a z&C))b=VNGAn-dt+;{sqr;yLSv%1_~1_5o+cY*0bFhcj<23H!Tv_^76>XA%D~hF%ot z-lajk?UQ?nU#>oe`fj=;C5IN_;dg2ysmy(=u=`}s@z{Bg*XW~`7DM@q%3n~)!t_ox zEB-d3b7q2k3~N5Wg5ABjlkl4hQ>U&Axtd-euIqILxQ5^|9tyB8%h>wJ=V#W0D?(}_ zD;=d`meW|ykCF)OQ~nQLPp|aD%AxAeIHfkc`B(n|oO_ZCZqe`A7hR(v7`m@sHRdQI z2{Ozved6pz{FoT53BcWG6v5@hFR)R_Z!ljt_%Fk3trki%JfMWF=ezUYD z5R-jNsFIQrh2?dSuxI$oCF)Xa?02Yzrq}YHa11nnBhU)$#2|e+us(?$tO`aGB%H|* z`zFGXU&hb}yqCS{ecCf~Awb6dUrB_nEqxi=D%)bRjosuE6ttMiphMvB-FXm2vnT)> z^+5(3LsiF@@{T>)SSbAgu6!jDq<_$VX5M=6$CC zZQ?HFd9aYng;S9|*l@Bw|39SEKlCWT>ZOEF&91rZ03}}ilpN=POIYB|<_P(|__{Yx z`6fS_J>7z9BKbccJN

    1BY%NJCeaGbV4I@*FC7PJ&697xV(mP^LmAL2AR=nQ|3@ z+OV)dw(qB24ozW^@_Fn%@}0Hwx+_G0*B;1p-~>&;$E92Z#nY!as7-gKJk`$n*U;q} zy>60{PSwcq`0AG;{dbv6qx?98z%2XX)^W=V6|1c<$tD;1PEfkSc9kbh^{H5nPD7r7 z=UGZ--$|}l+C`%+_mC!^eg6&Uq;V_EbD<_>gFdZx&HIK%UG(ewJ!5lG>ppD|-R(1X z(WLdQLtPN(IEPHq3E?_g)uiQ(qAs=w@vhF5au*rtTCXu~yeUqLSW`yqE$mJ8w&_umMC z)s=|5!lrXV)0I7@kmV{}Zo&grznEO!JE>k*^k!Ue$9zUcG6dz|L<|+IiAdDEJoHdK zJiOhY+@rZmiOX`^&{32jH@luDg5RI2p+<6lt`J}IjNmnC{E@6wS-|y=Aao!&!W1C@ zY&q)coptc-)EWO?yJ`;WdXmOlzIh+>It{Zr08HucGF~=82&N8m((7kcqV28bkPikM zFSbLZbPrF_8(usJB+7-I?yG}n4$9{^wi@1(eUF%Io0%5Zv-=upD_#F)ToscYrGDvY zuA!QJRpg51N|vS`5(ZD*i-+Qwe6e~r*{No?>!x5Gl6&H7|96N6Lb_jL~grznhV7_dG5KcrtD@b!ZH0}g*Dag4P1aunop^Y>9VTQtGPw=5C(vwGh z)XKqD89blg=|B78dF*v-`odkC*b&BTGJbiE^juXJa9OhnFpFA3zKs}^H&Xq_f)*c& zCg3D;4Fk3>D61`3a=r%HZ9{pYfY(^cnr9yi@Uv;ds8gvTQKm^<x@CuZ{-I<-L-$$$D7vV{^%UeJ|IXNhG@ z+k&Pb6&*emPmQID4%D-@?v-`kf1_7~RERaH`$IR)66}}N?nG^5IXxu8N=Ck=m%gr= z$zpH!$$7J9uTedsBW}+=79scw{KAs+@{M`TEBx( z1vD$B-w0;h84&bLxsZ1v9bRA@Hh4gxg#8Gmq-$$j4cY7cTNGKy*gDnY^mt^wwS#>< zy+t7i7qTL`<$3$po|`hnOhWILl1F^a1uw`#z%Jd^@dNU+HU#&3-yn>eZXv2;kYqlb z(THx%x5^=RhpryYi+|CYbVf9R0a-g}7-BX%F(7mz6X-M|@=}%S=JcY!zEKdwxU-Ch zs;U6hTagul(`WKL6E5vgTz%3CH+g8l^`N6Wsz^I;4tE0&aISr{s_$ykPP9Dq{tC6D z+~?iC0R#pW&yW40KL*4$k80v3Wl(()9@?DvQMOmB%8_`sI?ilW372u zgn6J%o6LG;@8_}_jc`D%FAx4!enTqBGm_bPET7jb!zs^yzT7KtWXwdn%De%aHpT4O zAP=#>EdTh^9FU(3==l>pLkzp0HDLa+&qNZnk0MR*jfYPv!aI|lTQy?vd2+wKm{e5) zJOFA?+W2Y!LXga*Of@C$z`k?c@owI=Fqv(|v6zvvb<)`4Z@KpfMGks;yTB38(L7VvC5$ zROZ>cRIC1a8Z2_9U7ZL6oH8m0)gohFj;X`d&mCm`*t+y_cNEg-2UiK&95-#`3Z?IL z4WP~%EM~|3ReLVXyiBcW%$(obylf9+b|2No&gWb$@|>`19saQAokcsI?@SLq3@%{uZLYH1dMZ9pY8Qnl zK>7#06(O{8LBbGJ)3!}6&-*WawsIg`SFR98R07lD4BIkK{`R{0$wEfAVr-+!3p*R( zl5;<0T?{)#$a7ysNN{1J({++VJ0~Sx#N-CIEfAb`7W~>}N2;S{XY%V*YrLH0=7Q74 z+s%as2Jaykxva>}t8dMw!%$L)gp$G@xly;F1l#8AX94;HSrWzuL?n*zo-6%BD`&Qh z8tJ@JqH9n2L5!4dD;dA`noOCQ z=9^FP@0(~S$+t|H$4W;=gYQ6~Qve2(#UE*Fh>=J7n#>LHg@l7m%<7!ZvSMBo;mzK` z`wGI*{pI639bAs+&in7{7pVWhdDRrT_-wP?vzTd|oHb?Tm)aM_L&y|JS=4)9P*A)u zl6d8HSw)IS5A$oN8HQh7(LuMxO-+K?MXDRLZbE^drA?my*^C<*$nNUTx{;@A#U|HMpPkSTdk>9eKwTQ-q^8yT z5-6b3!2EQ6?58?rd)bMloX?{K2KZhL zU-gioTaEl_fZwh@GS$3msv0qZPFyu&fx5XSaSs`QJxT~J{n#};UyY}f4Uj8Zn)MW<@ltUOyBEi14^~7PP%M5%jIg@3+M7|CE zE7pFGrc`bYSDcSVy35Qb^BK2g!PLp(UrmdOsxn{(r=O*g6hg_`R zoNu*}w}0XiNL^ol+!Cw1x&E%@R-`MUdzg{ke|Yd?81*cXR{1tiC?2ZwM<>mKxWzD*5bRRZ?IZ^ z63}n-2$EUVWCk>ESBxi55FENXuGx}+pNZI<{9inrUk8JGh(rmmiiKww&tHvJ<6UgL z4(_`n^n)Vv`yB)7cYt?t2u3F3;O%Ck=xha8PMI=k>8A135AwZc!*SP>GSq7u%(g&q za#vNr<0J_oj2C0#nx=#t&3$epeCap`+ccti6;ZayCy|%nnD;DT(Uh}JIj8DpY2YQp zIvDv`2Q|1h*y9zV$hjf=@Ec!bgjAr3EJ&Bg&Giq0Wzfau;D7qRXYfkmrPacyJ^V-+ zHI-W{Bw82v2$o4TC4*MKqD6)KHZsbDW~a|meepZnQs^CO9}I-sw;Lm?wR>}B6BF_9 z%&3w|2REk+he3wb$>-HfDk66?z9HL(AB6!3Pa)1P)D`l1r(148w2^w?PVQyA3?RP$ zpA4zft9*OKU{bbI>bd?ZrK^L{xd!r#=1%;16iliDt>}ogYxw z0Gg2n%RS0_fmT?SQopGJ_&wD5i~yqmaRwkKC`ot-^|K$NBITNGPQ9Sta*EKv12o{q zNi?FK^capQJURw{p||e@dy6{ik8zIZWN#=F!ZsM*N2Qej5$CBit=uWM8R}`?&b&*n z)u@ixPGf?yQoF0Qsf^PX@Hje~c93BT<-h!^{HeFZfS+jW}7`_4HLgX}}hmpEkvr47>_0AxltuEkZ(f?K= z8EZAlOFqrFw{C_%b&Ma)X4SR+yQj3*ch`Dj=#Q~$J;2lB%q!p*#YZ}`!+nq{4JDB5 z2KuuRhb5So*k_*8F{J(-EDdVipI6rzwU9~F{bE>(QRU(;66zxyES#*NhBX#@=l?X| zyhxLHBi4KE*8g6vpmo4-zy*c$1`id&k&ta();Ax!dZ72;Q>Z-^Y+V zTqX(LALt5H?k(XpKO7}JTp!*E`V7nk{5nE%g9zL#R@jMOw|=^NEl`1Ivm@Ulcq z9_wX!T$95uzDD-gwDDJ7gzuq#_ttGk{lX8@)b!2hgCg|ddohy0k~q8=qdp5$snY(Q z2niPcQm3G8ER5J+7=;pY0}{vCUlGI9{d7eTzdG>{;tKU3eRZzJuHAYvdWCFVGmM>a z7j{2blZoAHmDoS@t{Z{0VsuK8L^=TKe@{fm$;GbL$WTsMjrmlm9aJ~FVEq_z@jfdw z)Ez!QeWe2XE;NK@TST9$TMzj{(jn)!7k5|xIrMg4Plpx2M)ln3+#d3>z7(Dw8>p;{yid;_7kkhLYY-X759!%?2# zo#6JqkD_`g7kCg)@KsC~^hQ`)=QDm8Chp}J1SME#-&2caLbc43GPur%Trlu7>xZgJs?w@E^FZ-SU6)p)*RE!TSh zHQjHcJU^ufoIL`&)1T}uw!*=2W@>dxG5U=%~$yy}R zGv4*-0aJ#MlC{x(?&YL8;P#tV{<~^{K0mcY?+?!g<_LSIQNuJM>YHXL{^)ecPgy8q zPVxh1oB+}Y>t#X)Vn=EjWQXr*{eF@RX?S!#ikxe719RWB8p}YN_S}T zECrx9S@GW3d!Yn8|7mvZk^yJ8cCdVE;`2aK{Z`E9*d2ol{n(wbBmk1ZZ$EP!HWFeg zRcqcj3uh6X!7TVpbAnIsJ1GJOIP07-@QuQ7OATmv^0vg%p)djxb2w`JZ2Qu|t7d6= zYam;;=}P&lTt5-CJxr3+(|yVNn)8QThgz{Dek&JXsEppSiSaTDy4!Y#ws!&m@}{%_ z%~z+%hs!wFB|*w0n#Caj*LDst#=jeR+J;cGj& z^udB`zl+@WorHm+1vZXKjK9braP);dBrHd;P7DDmAAN8wD7J$(Q4mI&m=eAe?XxE| z^84=&%&5{+v>6v`KCB%jhE)6%5L&~ys$utGWSyW!Xwg)>fA8MmO5#OVq*=>N$GyA5 zGUSiEx%=i_lfA;Rlhtg^C0LN%NXoi>S|3^4ppWB{DS5OG=RGFwcQ41kTP^x;*o#BZ zrSlittoNe7%fFvE>=mY<4c(EJMi-;7R%qRiBkpmY>_l%GjnE3I!ZmSpES^x-V$e?o z+N9usD0QEJji0EGaxz_iPEZ@gBjtX%)_c=k^MTuIt$n(w*~|V2+dWrR&=&4;NA;eP zg3Ek>f4gW?B@*Sf{JEo`OS&mW5>g;8_0D42dVwUm*ogaUT(yb5j}AXg36jXy0=3e- z?TDgQp}K}!R>kw%O=gR06-rNdLDD%BRiixMlkBfj1NU9wx!Wd7Qy!kaw@9hC{FK1s zWgdcFKq2esmqz?GU0~hn08Cluc|$+jR(C%cOC=s(mKNMz?iTRX4JSD$38ZLK z+os!69r%5gv^tY$T;~%t!A=1pxCL z-+>|ilpe7EGj8rc~9Z~mBjtrbolxGz&=*7r}mMS)AekkW9O{mc` zdrlnz`zq2OK-LPq2Co?MRXX_(ui?Z-)BjA<7)~f?dYbz-% zSj6xd(Wu|K(Dm*6*v4%ytb8J``kM*A^vsHGHtMVTdUkj}KPmHDGZyHp$$#qgLG zf&*gvD<&3o?yHp0JF?PB{QaGIl6d)aUt98%eSJOq>W?Dp31~y1KXK~sv!ylBL^ql( zONY}(hlv=J9vTv68;sZXy0%0ec9tTt%49`ka?O;rB*1p3~}r>D$Y2L?3$oiF~h9E?wQPC|5(**K2hhf#7ejr+7K zoUyVV%1id{9j)}Q9)K3b%Cii}bra~$1$!sHRWro{JH0GP{$zl0BYd7TbKC_G8Zhn; z!9@%RF2_EBiGa3LpPx`s@6*{IL<@NvQjKljpT?b1CLMlCMMN%iM1(70x_I)cqsFW7 zx{rKaF{!YzwisF|G{*;#xzeTXE=ftV-9}i*z5bky?``T^pR|{U24^dFg@*>WQT+4E z*8)yyzJnZY(r4yhEefsT{TTx)-Ifo)oJmk~+ITMtXmUjlXwc>Ifx3>pSJa+|L60dg zh;S3nXH8`m&z{TrI?A}+=RAf%|K`7}dInj|(m8&#%AQIfm$8m#%!zGUN@F3&=-Nfh zh9lu9J&eyI;=^h_kPxXk00JY z-*}bLH0q~r=~sIFx~UKV2SXnmEQJGR#KUZViph5{^;n=Nl}5x_cW`MeQe&v7yaDioXsx?mP={IHeSb%?|o!ZGNo%wH*+ znm3BzCQ718Pnag#7q|q+^BPHY>PRH+;>o#)xLoY)e!L)_od5YZ>BW8U!dho%o0mV` zw`gOdX@X;|>bmZt`pWH?A<1e#VGZkLlV*V^E~cZ%_YCO?m}H`T>iO;t`1*({#Mab09_FOURfT)r&FdYZ@A1!UFP zM!{&$A()bW-lV(Xnc*7_u-5D!8k{aPKI%+lEMIk;c8LcFR$4H10;{M5&h=${iqhXS zz`3jP9kcuHc(MPaCcXMWUo#)AD1h7wmhSJgmARfH-5uI%P8vX;iJ$fxtCpWb?>*%{ zZ57(PXs%>FT*7-ex_P+D6TDx0xSMRg89TT??k4d$xoN(=ZLfsf`3}l{o`%*y|E(te zTMZ2>cK%b0{I44NPZ2bujJc5`sU|6`_*scm8(Ji7>kKV+W+r8nH8wKW7qN9C)ntNR zV`F83eYF3lUK&>K{I9+lT9$37Z0tm;$p|eBhmK(E=A@0nC=RWaCgtOU7CJMNGQ;ko z1U+OSWrh`sKUQ8dzIStyPb9ZnB$S~I|CDG$k6B5X|CColkJ+GQ z)c@MBlQMJsJ7!_$BxU}y4p?t?E>h;dHQKO$+@#Fh|7pp=M9T7aKG16%%%m*;osy`n zm92xaoxb6pIXNmxh>-pn4_c!A-)eE#DcI^Y8Kp!;Mf4qwjYuD7qW!P_9QN})U$HOon(EO>uWo3@1S4DF9?}!))XA9P6uv}m9A8dr z;p6pk@vEi)YUF#rRI|wrGD#1Tsr$2hig!Gw)ATz3YK*~s!V<`b-|slMY<##nN4XNk zjRlU3)5FKxcz#*O0)A&0;3O3+)MdL`hVLcE0Y?R#V_0`oHnO5O1X8j1)33P0ElT$4 z9*#1q{TjmV$LJjVrNMwjkr#^pPD?pBDjqvxX=q4xBck&c6FO%U`7-m=SA6w1OAc@* zL$~U$+^zA;$#|!@xVf0D>8-(3qW&63R&sQ|K(p=-J>FW?{ za~wGBohJ$ncOe6MjBw%QU}to1d*XU89i@(CI#b%8b8}iUPtq-^88;8E)6soJb-jj^ z!1D)d`fexjTtFvgQ5{Yj6OUZ6j-J6~yQ>%L=^>XSNcYafxR|#T;84bd_hS9IA4ord zsx*7BL!W&W2^P9c|8|MdexEa42MU|H#2f~x!GC{CAml>~M@554itK4bJAB}c+9iQ- zH4riK^-Jo_kpI26YVC*n9$X6FXhR7xmRc;u!QF4S8t`nSaPNf>wuJ~c5wKgHR<~f* z!eJ~Tzzb7_KDF0lUi5zz`$UWs@73q3jMoYNMS7I^h|U?9Yylj0ubuo17umRw82tM6 zp3Xf{VnR>*Onr#*OXy`_P|r&or4T1l(VjQuL29vts|e3TF%{k7BhMNBmmLBBlA&o41~vLcu;aofa2;@l{ZG2i}-#ma#<7n+GB&LOD_ zmyFBn(R_vY{ynq8hXm9<5}csrEKugBOpfdyibx8n`2yn~$Ehq(&M;-gEwctj1~=iH z=y>o`BN)V0Gm?jiHY+wUPr0sf5Cbv|BblRL`+j)y4yOXX0>6TAESftAzbjHdw@j^& zXX4FHI9jJeseu)9HHzm;Pb|-8ywTnP?rM2?XYX{8?hE% z9z8s95!gyF!a{$WAH=3V+*2xYTk28|lc zQ>w#PpJ>OaoM^NZ-Eu=!*;GzdvpW^al*q>r7NY=q@()maj1zh2}ck%w@z8E^{<_;c|X#Bl>Z3ce)pT>H|>v- z-_SI*{G;E}<1@d-#}^7%$GykL#%l^(3m{`c=3mSMEmtjeN4S0-IiXue_rKXs0dj|I z%uNKc53rH5shaJNy%|oK7@asC>l^(s%9DMjl3cu(nfjwi^d|5;2mNEWtVBkI=tj<< zVK7R2eB5BZ(J6DT6T9=BGob#gKA@h}qsv3lBgkXVmdw9Ii+NVg%s_tg-m7?N-Lo8l&_9^r-X= zbm{8&YMq+a727q}X4bZ;HuGlQ-N6RfX3Az`h9^IZzS2)tcb(5@9cw}Aer~u7dE1!U zbl1!px{jq;kQg+#f+z0-0Z2FCcSGHPurtgQh%N;Y@0(#SXkMH$4Cv_OzGZ0L?j7ISDs6LjhnftC(B2qFz$ z7>{8%Bn9O1C|ZSpLW@K!R-qziltYkU>6bvvlF%RBfBVe$eBXQQ&b-g}wu@JpN zPbXq4%tK-IenZ;f+L$AeH$@Ml&O{ac606GZzCW?^!Ik{0iNd}@TBM-n4q-ZCJZi-E zB&{r^t%eU(&?KVpjEILh=ZZ&leNkzPQiJPw+;Zuq_G6D%w(-mH!HZYId_pzUC7}hO zt2R9)UdU_4Gfl$GUE0UTOR=Jcv(l!BhKOgaeeF-mmaP=hnqZ%H?~-bzr+CA?^sIoa z{;DmgaBEpwQD{kM^5JlhpF(9qCoVP?qKWLGp@Z@1)b?1EaUsB_I5$D7{o0KQ5Aa8qZ(w>W%I| z{>W^m4y5;aul-n4T6Qm47@aI$(6}T$CQj6Uy({6e@`mnAr>E6tjmI*N zfaFh;ufqYN!KHfMq35aA%obsFp}ul)!a(zHlNrzYwmu>{Ldus{->ZE4GGd~jyG$u> zdh(5OiMFgu-&~z)%^CYd$9`8V>V*Vrdj)G=#oqibK>VcGFA$p=(N(=%{uZq}+88wa zdHaUDzFI#xFlJmcxv}-cDMMZ0s;OveLzj7ft!9!*UlhRkCwgSErSSBwOSNrN&4ZXl z)i&}@xU^6blU21fN%@z5pKPi!d%qW}!cuHm6_~Ai`Szoc*Mo*1!t-?V#*PkK-3EW# z(Ce7er)`je<-l+VmjfRp+t})S6XNo9awYBnC~y!ikzm04$YyR71+h7>4412w5WNwRN@dEuR!;K85b3+ZKJLjSBTXzi4@a7unL#P0Z4|56@(mu zcPlX4Lcm1DVqm94f#Yy+loD4$FilRV;xGvWE9^mvfew*MQ4;>GS{{!o)G{fmRzWZk zPsp)7;55{}v(h%Xi%5gIU3fSK@#zZKbqTy(y<27Xg|dM_@N7n9AS57F>~)!56Nx5B zf0U*daj$wWm4M;ZI*3l= za~R}^oC5E^2s}EIOd!j*nGeGu#%507un{uBp?GZeUUL)JbUK;fR6uhR7&Q89g42O( z4uTk+PMX|Wvc;BLNOl59noOAEZ*V4UCxE0$1iMOf`F&gnAZapzY=SmdNcN;j1dRfd zP=Fj|Qa~|g9*E1~usDzedXL%ksqKN}?=c1!w0suE;P4Q4jL!pon7xk6U;*{(in;Aa zr!#G8eAYUEA+8vM&j(_A_B!D9W>e|2xBx>y16(jB5WcP$i|x*3A>fO3;j-Co`66uh z_z(`;wSEkQgSgcI;j-N0WD?9KyfLi0Je7!yd6)(KrbP9qg+COTNL|M f#x{abLDSb7b}^4CRQ9ej5FVdPp;Cjx*Hiulh@QY+ literal 0 HcmV?d00001 diff --git a/simulations/figures_sim/figure_toe_lasso.pdf b/simulations/figures_sim/figure_toe_lasso.pdf new file mode 100644 index 0000000000000000000000000000000000000000..22d6287e5603b50f19024fa29c018ba138e9658b GIT binary patch literal 21361 zcmZ_0bzD?m)HjNxh=6oTcS=Zihje#$cY}0Fhl-RSpdc|wcSuS}=g{3b^m_*N_dNH# z_x{0$nRE6&d+jspyLvBbWeF)}HWtoj)WIvktHHy;WBRVo*vMXyIhoo%6A*aDD(-4w z;%?*QC}HAmK}ILR$Nq|qmyP`u2it2lZjRUV&sY_l%>RGysoS{Q1G7}gq+Ly%t!>QQ z$do+Xoju%vY09on<{oAiuF$(2EL<#Xz_rJKJp9u*)vv4$rQo;ToHDs*nKF$_o ztl}o_CiYHNWUR_2Ru*n#9KZlovj3UD{r{Q(9S0rlYT@YqcQ~uKlcPKE)s2kjaXPE2 zg`1Oys~PY-&j0Iq&;kEm#~TYrD|c%$HZD#cPBK<08+&(P3#?N1z}u0qFmp1ufD-QJ z4!ksnXWpL{0z?yNcwHBogCt*ip?_0g=lJkp%0LDdUOurIZj0<`w{H`s=JdrZKMK)B zIXC5^UwiMzotTidK1Y2Lk!N{PUOQ$ZEGOpKGN%p zaJ|40k@MRH&EaCvwbQ+s`RXlQ>s73{*8 zP%T``oUnPNTytHwkN(9V!Rij9cm4R=Ir)PfnNiu2k#J$xNnN>k^m;UAslV{A>qBsw zTY!DzmT=1rGpTmQ{;_@!T)`NeUr(AXnIOq@`cEco^u!t@Uo$N_NcP$!21)E``H6Q{ zC_4MGyhDOK5qjc~(vQXI^lX@{oVsRP-E~eznv%DQa#Lgdk-u}t;H3TZ)lduegU$S! zFewrVMqCA1UW+1T^mrn_7` z+C5yn+i{X3ec5s|6?uKMkVC4e_Swt+w(^|C;HC&9P_w?=c!}N$S!E?{xw#y=I~YE^ zziu=Hd)62R@t1h5g*yl{SJxO#sWKx>)g8F^KFGNgto%|V?6`i~LR;g0 zk$rbt%e^m{w!Q_6UVTM&qGOc$5tLIsJfA;3-oSMuc~e?0r;rtk+MRQ0@UroIuA#PP z)dz0KPs@I%j%4oQ0~qI{?(Th^kg)nM=rwUch*r?eoRGW^q?T0ZXp*m0V7R)Ql%!_C zD(9}}s}jy)QOG^fN@)48uWjvcr{@_S#fqQbkINVXgqxE(uD<9a-F+48@m>FU*8Yjz zSG#$dn1&^_^kw-;`rX%ejYivI75wU(@O>t!tVE0#OA5&x%>s zB)q?i``qXpG%LCem@VXM(ng%DV4|+EPZj~QEYR0;ZaT!LHUv57!HP~qBG1L@itjRJehqg|O zoedgnh6`?IgRu5bJ;>}Xjkw#X*i!MPCQ^uz%RT6v?w57NhF)S#>~tv`>VFQ_@8-)N zuIgA^sj*z=FFdfrlzI5hBKZoSwlCZ_l@hv9zjZB?`gpSh-7J~@6nW0X0d1=@A5HHA z=Vj^k7qs)yfUC%~Io6BFzQNJ}}{v@|esE%6AL*pX1p{ z@GP9_te(SsJ1*t2wUB?mJuEWj0G2k*Lr7y56?*-pl&+j#Z-t5LZMgkIfRXfqqJ?~v zl73?IayA=bMYo3_#I-So~4`GGCAFg^0{MC3W=yTJ7eRPdb*;L~9gmpp>{xoKCAs5k$ z2)}+F7kkU2*`9CJ9heNqeNk7GNEBai4K2)3Q}YECB^9%RW{NOC1x=0ugUPl@iHXb` z?UDH_-B}1EDLNU$Mk}T%r+O33k=igA&|8C~pG<@j zBaeSfJ#3})NYQ^Fu!+G>g0iVMz@|A255Z4zTkyF>!UNE1#!LNkIxfj0M6Q21|6fSv zthmul-CYPuu!aX@L%jrCeVm6>&S7!-1YD^_5}XBsHu_#`=gs=qSb#S~u}*5RMc4)1 z?T88qw)%JQNl51ge`*!o);C>INWOK7en;pdsPe_))ehC#cV5l}zb|U}zPx<6jNXX3 z(%_p+slsWe9Gsw`zW6yuKFm~6A?fRXi&}->1^Es3ck&jU;6AVG==6dLi1B;?yRYfN z!VpdB+N?4RTLb{nc-C}}h%c?knmkQD=`p=a7P)>?da2z3pOi|Ax1)jvZ>!Kx*)3aN zqlaht9STrP65zKW2xvJ=@N{Zsy3Wx}bt9w#xk9-`B0^*+Mkb;}Eu6lQ8iLA&Q)xAMH5JmJ>?hj*Q?mb57q&bODhd(P-yj5whXs1tbLb3XyC=K_Q)q+=`CdQ0MvUzip6H` z&6K6w5!GwLAQEzqhzcg0xmn!AJPejF6Ks7BCQ%24K}OU;pW`84RHDn%Wjtp4kcy4@ZGNPn17uaAk^((r|L#z_$ULQataP!4*Ql@Gk3XUTO%f(i5_t&!vY4?hpwNvt8LN`6t1aZzzqDv=$kN1p z@)-b6t~wF%`ndD2C#3j9zEJby}Snj#;?Sg_ZGQ5~<7Mj6MGQH9 z!QVpv(@5{R^eT+2;w8znPL=5dZ*lYSQ^^1r#CJ{Gw}*s_VsYy}R8MynC<3aDny}ZR zl;c`}VGVuaM%|gsRGm8~EPI(R6u&=qcSkl}B31#O>4=Pb{Tf|6w(dz(UQ^v)pSBQ@a6G3(z#=gU51D4O7KIB{Xoigeyc!V3&n1I49I_>6w-mxut z%nB6S!)R{+w&a|3deNEkJ!!K2u+D z%ViO>7QdK(VAE8WP_>BO{T+`})#U*>Cf9|9a`8wO6rmA_6WW6M8O$nLH+d=4-<+yY zz(StOeVA)%Ui~o)%POFPPX`OiHJp10R_=v1^s-RQqyoB?UGaUUpWr(pZ{*LuNH?p9 zPFXIY3Rv2wjy3JV`J0)g#n{{;vX^&uC^O%c?mDHZ!W%|wAZ^rtRnZt4bDDa>Du%+G z0EikK7~6|iO`h{n^&)Omoeg7VV`S)g?TVwHZfAdEO;fiXSx$r6Up=`@B_$gk)Iu$- zY#o_H=g?bJn2Li__E~P}R2KIjcZX#0^DHiD9aW}_5&^9;rCI)=TVG6Fdtr(MiINGt z#hyke*GkUbRU(dt=`fD`b>fmAJ(*pkq|_T&b&$kSusn#MmT8oKOMbQMBB?Go%Yk^z z8pl5HnQISMa3{JzcXWsgBv%vXEYHM%iq`Z^zKXM9OF53~ripNM3=xkgQvWO!o;8_Q z=e7D3`g7Dd=@mrz0l#z&=UMdEZ%cm`ImZw&En_xdGQIUp#bUc)sxq$Dp;*6mGPD5{ zswo{S%V^y^>L0adPZ~|cR7v+fwRT1iD^cinY8v+m1$_eSHzZ!n;@9*}Y%6N6(>~>O z?PY?F_JHPbt0w}i*C1nM4Qs#8Q|IOarid>6- zouvi?=!=Xa{euV(xtvz}XaR?DjrM~c#h5!>od=>aj;CdXEPBqYnKS?{>_;`)O&crd ztmO1DxOuAO6C6H^SpS(R9d6TR_5_gyW;wCDt{wj<7rtIO!Ii4}t@JvpAF3=xf> zon|&1$@$N>8I_9Lr-mlFnrgvAGWyem`a@Afd$U&0sk=PRsiY}z$F-G}GGW!ql)jcb zXNf*v*Ad}NY&6OGy{TeCc%S=zP#puhu*WVwKldasxmvUM_R644~df7=CWG50c zs2JiuQ9mVHtua{6Ya9?WF2sZ=I1_JUtyzU{Bllk{1b!TfIg<)dcP zZBufozofn#WMP7bYF39B_FqgEk?^&>Oh1X0d8<-M>a0HYfB3QztylQ< zlMX|6oyEs~2BjOcn;+l!b*c@yq-)FbT9)N?Z<`!37c-_%%7sQ1I(mq79c2(-g$=NO z47A%c(7sF#qM7igzq}C5K)9>rj8(*c8{|KGOj}* zn8M_fEDs~XA!1ptkt^i6;naO3AiiHEuf!=V$mfof_1$g%f;x^?#A?AIUrx3m zbV$j)Iz2Ta(cRb7f05KZ<^r8xazGCYYZA?c-#@}nC_{$1^Xjb?C}^6)$71!y(Qb^D z`~HcQ@k0g2QGYjg!cy}*1Ze|&6S)a4cbHG0Yng}4wT2{c9bmX*I+2pv-EuU!akh}+ z(nD4biQlz$@8v9KwYD5z9p36Dh4g5(wVv@yui~N!2u)6Gw7PNKdt6@;5$40Y`&s$ej}!M3-%TD6}|3Jwqv9+zIPO)ACGerYBk` zoHsTDRbnU%dSd?83_7Zf@#+%MPF&At&RqzgkQV)4bLM<=v^%gk5I)+b9E$9Y4`Qx4 z@xAaulg|Z=(fe?tPE5T{ys!pQz55SoF^A9k7nm$Oa4xXen>GG; zIr%BI86hZkRhc5WH1`C$o=Zypz)3r;2dNCznu*DI%~Y7;fQT4mqy z(A4~DK`DzPr2^Q`O!VbMN>v3{tf&^uJ_fOmKLYbV_c~W9vzf`NCT!67f`+q3#tU8- z>TY-`h~q-NkRt_5YICB~=3GbRM= zISvlgg->gad=i}sIPh^U9VZI22P+4Pj?=LO)DxCZCuNzJr&j74ac1->s%yQ*xgah0 zSfGNKn)IqJHG8MzbK<#@9h&f>=KUr9vc$nUE5L6VO)e<~cE)U-qhQU{R>PS`oyLUW z&%&sdK3?|ogzgx7j$ALz$emY`S|0wQCP?4o}rf;1b2leLSs%;5;|+e9tOKT!{E!l$mAWG$y< z>{}wAgkwVu-rsHhndy)M7t@~>f>Wl!377Q+*Q$H{;sM#ewGA=puG9xGZ@>HYCV@WV zS_mlj`CKm&^k?tm-dJPYXs?cdeGpmt7o7pl)HY*GCuP(7>;p2)v&nu>wSv`nP>{&A z2G!OKa^3jUDD#TFy3c|=AoWFPqs0z?JYuNUeSeFVrtY&o-(`1$6z-|vdo+URZ!4#x z(s^jy=eZ*B${eSsKr4IYy$cV7E;tsT8OmBgU9_K34|jjS_XNu$6~0#N#au#PxJ*8e zhrr82nJXR(BPYrw1TZvYc)QJ^Q({v(U;7ywf*QF3V65N6GxtQ16PrX2)D9qkx%0!B zzIu2YGtr+&8sKJFemkIM$^*RoG72O2CBU@Ll>&eAH6Yn&2`o3A+2%C?0Z7&+Bdy5WIzbu-qOH(5a z`HWza#wm?pV&rJYlV<{k6|KM*?{j<+hqJbd&cTBz!Fd!Aqfv%w$#aYxx`xGW#Hd|D zf1{4)Iz`&t*_N_ZIxrUdJ7tunqy=liX>LbN+D45KblDq`~@_#N67HHj-}kQZ}1narYv)Y>s;w?B|cQacPgCMFEI| z`!82rKF@8FSidFTEBNUnfuhtRv`AduR5J^CS*ZdJ3!7rWHKnRrbw?#jCnjZA;06F5 z40*U4A#?G=sPT%f8(-}efRA~Ra%2E2X;_9^Z8sQeKBKHwrB7$+&Tu-X@mef)1*@dR zOYgK=xeS6@R74Jl)}UbxYF6GKAV*NTliSPVXhBcC3WtB(Jy_gLoMRl_qY_>??0B&p z`zMeH*q$*;73QG_iPb;gC{^JY^g{fXXF&$pU9^E>4FnVKn_X)vA%`m>V~*Bii!W?f z{cWG=sLn82MJGHYFL3?Z-A;4jb1kju!+VU;$Z(%J=&q!6N2lQpFRoyr&|EmU>}_tu zzM4Bq7U_f2Ljt3rWsx&7{G?U>9b{2o(#Gm*Clo|-96j6NX!T#jrnK^MZ`~1Devq4K z)b;{Tk7_RE5kARcfc1G3Ux#L%ge~B6JLOUZgk1j99#sz2Dld|ra?X7iwS7)JYri@2 zW2>~{;aU7ljU3uEDrgQZGg7OC1+YC^?Fto11&7yYLx*px^vIX*GWu`lnzsw*%P0Ukzibq-W@_i%(#KMp#!)8VQ)^o}#Zw_XQU)Wv2|Y zNd5?Ai6eiTjO0nxvN`$`P~vF7%@{>R9i`xArU*=wk$%Jul#b z#;Xmv!N%Gh7b4H)?V}75AYDGSVgI~oww;76gCENnk*|mGr2NHzJ%|Qw1s>=eVmI5F z36cMgGBU!RasmABZk|etHzY;ls(pC|D70m-X3f5TN}cqdY8QU-KDV^kfH6yDg)0$I9{EDu4YpE{U$s2C+ zKo$KWdnM;#89TG=Ul9SJ-@}n=mg6F*&Dx&$CSb(9+{;}H-rro}E|CI#UXf!+bH_@> z1X+e)$Hmnbu1@>g!W(Nmp4*R&h!5U?4Z(mFJ(`?oNPEXsRxo|F+r&cPJsqLq$5#`8jBihb9`>;e^xo)(q+OMi{8Fk1nC ztL+>8j+aCtW=VaOb}-N&Gc*}xN@|z7w1Lon(PC&yiwyYf$B${DI2Wp{fO$ELP zADd_PXqrw6XA*uugKL_A+-XnQ2$XmM;wyS_91U7zA{TO&{i~~x0Sl?*S$-=?0x4soEFh!S%+v?KYCFA`vfb7 z5A613oi>$dKbvtsc5_dif@^)OiPmx;dKz%JO=~_yDJacjRjo_dA9pdc%~|!$Zaa?O zN89i_C^nVqKu~S?_cbd#`Z}Cs=IReBerd_i*_2P!zy##|$f{1D<993*PNLsE47!=h z;WxATeYI<~ds~7x5~rTEyMy#bFu}B4vMJ|%@#)WxG+(wQh&D|9;uqbjQ?|(1jPV=Z8YkUSbmq!6il^G*`e z_h6iv*$HEu1hjo%1nmq*{%9yWcB;<$eZXD@kF6|TV!iw%UZo6FfZ1#@~tB+ zW^rcRdV{Vu={?DH2qI#yxxX6wf_K0TrWJ}P9ynkV-&1%L(ckZr7o6vbK5g&O;q=Wj z-&4jKabYPYP(`I19b)$#m{0UXzPFKs(z29=(ffBn-u5B7i+BEmuoQERlYkxhJCein8#ynjYx2B z@FP0oj6GGTJdfj^gdqj#`GB(a`Q6!2+%?m>W#AOQ<2UE$>8@%{givC{p}Q(X2>hMx z7tWsP1v_4AV@5s)i;hp0ax}R0tJvwZksz|A*`u*_ip|};=xF&ckJWk$p5T7}95sL& zUW07)vJKQyXOr#_jPyKF7Gmjcxl0&Ger39C0p3jBG5IcZV^>!(?=*V01@rX~yiC&B zjM^e?BbGk?*}R6K@+{V`_adjj?Vq>(C`(4GG*)Y@Rk-B@WWz`718pit99`HzKQN%l z>~T!5yUK!_p`MDc1-}aEh5vkKAR%LC|6J}}2+Co54HBT~PiRm8NM=q8mj<-zd`{pA#_6&LbFNY395`YZe z%FDis;XC3#0oo*}3&2j8+wJx|mZ_~5k*TgPOS#A5cw9nXOVyRE`)yPRoEhO7+HOiPgu=6Do0Lo|m{p#=SpvAxrwq#+QaiFMk_y-`HCA$fj@o$8;mOL&WwLffCr(0MK;+gJe) zKeKU_3cUK&WY-$zKbjhfu7k^6b9u5x)!eUrSx`3=$cr=4jROX1t7&Gv%4Aam2HF$o zh1)lgqc$(2m=-6;cIjnjMA!5|!*FHzt(HS{ba%8y)o z_U%{EP&}Xf$8fSiyt?b2g`l2!`7ay+3}{Bq`ClPLwD`%T#mmJd1*T8)>?;LtRJ=yB z@Bed`IE~*e2ri*wsjS2&j(p-5aL*N_WPSU`Zc%@iq(~k6QZS`d;ZnNyF?ac=rp5X# zp^GXF!Ai%a3=@iwj449ezKGCS0bR734z>D{tTCOpL!SXc(i<`s7!{WGEOxToj?O89 zpkXv!!9I=%Gz~!(DOeD8D7oDW@2_*(j5uhvKe~G7?yg zt^Q3nH*H_^O|g~zN9#CJvI}$kZ{-CxSizGz!7l~2evB-DWCjQ_X+->7(R$C4UEfJw zyHW$XEM>slpX2&)W0b@QzeuQ`#-Q#tfPQeNJGusMIy+j;mBMpfTch1J z^Z*y@tU>BKM!RO_(qq*dL6(ntv4$lsgjW)_@@`u?3>)_jR|OecMlge@-|jnas_rtHem^9AT#TndV{{XAgbE5hZy*D+!T83B;$!@zK zz>~BLEBg!t>dr>qI4@<74(4}%Hmao4+2^Lun~|4l%*dqf0`kq& z8fUSEm~$2`VS5`ku%_qt%C@pV$mfst+tgTH+3o>RH-ze3iiCDb{7<;w(5t3P^~Iix zPUdW6k|-5_l)N(buUxC=2&I+7$)?|5B4pNhe`*mueNOaNhUUf8YXG3^le5ijlhYs9 z_IOkzBt@vse|m5x%WD_Kp+u6px_c#p-^wv43OJBR@Ct@Y@suT*c1}LeXg{2&%S6#p ziT#cHt-y~MH!iRA8el2E>MyS`MZ~U%W@Q!B3hS5~4>LWcIGt?yn z!mX0kMPP}A6K)l|dm7t-YXzVJPw$>a{W2`?$!kNq=ZQ>5U~AJ#d82&0w=$Y!cyg-o zU4-J4D7XQRT-|HdLp~@Qd!Zos+o4Yz73=--l-aF?bfq?J?xD`4oJeodan;4HJPz%w{!4(`;H~BPK!%;=vb&5 zmSb_kMUFP39bD|R)p&Dmnm99sQQ8g`HyY_$gBp!-Wc*pB4hq+f*~jtt0$>B4(}CS2$N=MO^IE;P+POZ^rN@0dFjwQD9&Gc?D-@{S-9+9V1f`2~UyIa5Y0M}>mCYY@7<;X#^px$aTF*#xyYbXs zsuAM#+e_cL_m$s*&d9}X#^-K!oGT;|}= zb-?N23YZZeJVfWbDFZIMtN8aXLU1>wm^_WCP#<9yf|+^S#xcWoH50+1 zv&zDB$~Maf$#`jkuA^M6cMzT7ji%q1z91I=jVM(B+wQL~o^KTdgyaFEmvI02j7L>i z7PHhUMw~5dW z!R^>-f^53_HH~`6rJPQS+hkS?GN5+YM;jsF$S`$6gLC9j`3s2aXu+p?_ENc$1AEl2c-7#s&2&Ax3f za=8n88{Uu56xrYM7`E$>j%Eg(O6u(9e4lZ}=KP;36z6D16Z~ZS*D)Q<`K_New_eVp zb}o*tAxj*R314^m2({mx_QTa(?`&9<#Ana!Re$a4-yXQti00@oN%<%W8aJ3R=qDno zzH>x5p&hTS@%8zIgS;dpzt}dBLO}1QHnhH0pZ2Llu!}csY)R^%P>-RgOKYc4j|TX+ zQK&~z#F{OisPh?DUoXQ=YMn~O9PBE!POP%BnX1AonF`@G8@K8sv%ZYUh}`iyYhnvp zT1SS9*dhWUrQf45hg$cxkoy={uCdr9-*wc(-DPJdBDc*Z`cglLd zk+E>>2l;t;59tJs4`2j6Y)1;;uA@KPWS|GMoWz13js}8!AP0v+R)(S*hj2~hIXXv@ zJe1YO%-Qq71WzvaY1eT5>%YnNAA5Dt*cBme)f}KhI6Qd7LyUYYc_=HW8 zas&mR%;so&DSdAD_n=a1;Tw3?92e(BH3ny=RaANm(|6nExmMsuCH!7I@jXV_^IozP z#Q;S&px*x%Uk1wDmjaHh+pv8>r)^|t{yU)_NSEJWH5#2_SU&l%A5m{60K=a7<$Ch+ z6-w`|NawzZFU;DMJhe9S%hFBltCQ_@sX0=G5^lkpaiZDm?0_9q2c=x(b8K! z?_V9>oI4B$fy*XE#!FMwf9RdoyePLg_g>!KQ{ zfp6HK!g%ie5?nR`DG%E= zA80fyArygsM=&zg46yDWv`7fb^8A`GD_&{HWUPOOw6%P_ZJwI zzxD-hz&)X?IOxPX6h6dD{{8Bp8nSDi;pl{KQYa_=F!xj57QOM0ivqLbnO>Z}r^vgX zgdX0}J=g@?6RF&%T;FcXhfenZMU$L|76Ga{0?m;|5}U!1jO?&;7S;n8^Mk30#8K|` zWY09`%xLRvt-h+;X@EGY|2h#s$aew6ix zOoRreR++!ns15AEg@nH+ghjE~3?`RmCHu`A z4`R_Sm^N5<^ZvY8Ms^}Nm^o}b47YyjQZ>w&s*WwVe1s{P{u>MfdeRILxj&R{!HN5z zC@K4tMk`-!!2w15^oPKYn!300u$=aQY@^7KE`BOOijd)e%h9@Wa`w9>1||qTtm)J0 z(}Qg!aylf_H)lE(s|U5+cfV`SUbKw0GkTSr9P`({YFL6Y$1j?1&XrXkbbN*{=*Y5F z^j}df)IHW}qIG@d$Ys*5Y=?I(aiS+-S@cvhobPzm1DdZKlCflGm>*OLL|Z0H(qXrK%@xv6x6W1~0UJ_HL!v?S^Ay=KOh zynp(%o@M>nfnyJd3dwYAf0yCNZ9KVCyIr?Ori06jinj!)+vE*cWPF1afa~q+0b4m> zrxzo-b>TxtelXN1rjOS3ekG9J)1=Rja7{6=Kv4f&xrd3Ui{-z*?<;5wDee~0)}^(t@usZT5GhZ z(vhhGSpfvMFUOpEV`9R-sI16-6~k>5P`~`v$ur6YdCWP`!@=0je;m>)Uiu-aYC3aQ zMk2PbNW}%tX?r=qS-&Q&*67MF(tVB=b%XzJ4{7KW|iK`CF5It>5#8N zFXVW|j8Ol-V+vGj#V(gA>wPc$ zstyz)g?{gK zO}MC_b^2c}=IcM3-GdbU(Pn0T-djGT(?^#3^E3{mr{UoVC#9C~MsSe}UIlrt2Z?c| z>f#l;>+(Di5oN@+dv%$w!7sRT(8y0q_CrPo@$!uMF4YaTx_`a?HUc*`NZj#~>Rk+} zeWmqVuAc}306I7@b1OQUBA*}-X})+FwLts&wi&nNg|gUuifFJID#gADPyO%JvVnG( zdqVjxpxk$b<(HK56i~vfm2$gq$wx- zWc^hfUrCZuyibvuw_dH=Zgm1y11!Us&`4M}U(s;R*(C3>ifEOY2>kCL%geXO6!ff) zs~&DFQ}3^m)n4MLcRk@+Gy=s#+CP69`4@x)rYU)q7xN|JZG zKdGseHsAQqKb6)|F|7TR6(JDRLjv+l^N4N`?E~uo=_opAItoVQooDrM5~>UF$t7R< z>Pan3FTq=Sqq`{zI%FzF9O%yJ*7$C zVy+xC@ti)DpU+yr1+%X~(#B?92EaHZ|B=McVW6@#y|}5ac0oWAa-+X8^Yqu|k$)tL z=JxVC(xj+)fpo@WR^e)(Mw0Snz1(eGt$E`qXkUe!?g}_f^q7w2rT^93y<2gm$=>DR zgXw0fbK4+b0>l`|?ti+uS)r`p+nv)*-yuB-sSA%f4*{Guyti~2OGC0Y2RN2NcnJ5r zSWkuAuNp^Di^J;5ve(L7(pl&ehCjGMM%E9dxQ#Pc9y!46B=Z4D>%M4BflaC7cjEZV zA|BvyhQoVwQ+j31R;dVw*h;sR?oYfcBtM0(l##0?Rq z90PCPTwI%?gwQyB4=uSrLc4>!Nv=1fVI`0O$M^<~s$B3VtOyllqI}%^MGDL?0YX#9 zJcjZM(zD8KwIY52KG@V3Qxo~b(V6`IH~}Mxt3`@lJRa~)YA@SISpR?Xq|kG_N1a~EL#qDiu~Jw zi^1nv8Y3BUC{JS>zYDaz>(4)LFh(*H4?Cgac*2~?=B1Lbg~8CDH>dpq2Q z#Rsns#{QJeI00u*5Q{6(TlV`SrUjTWEA5$^e=vh4)v#O)Wc!oo8ur2vJn1|#=6CRl zi!_cX0ZINxG!s^IVB=disZRU8PLmEQIx*wSJz3*&yfyf2w$>)Hda=0sbbS>3^%fts zSfEaw1UO8UTClk=utloU@cWhAZDh|ami%FmL7g268XFyiHIN_$5*b-Z&B##38J8T> zhGc;Uo+)j}N_JXvNCDF0z!{kWajSRfJC4mdrcQkJ#?}{ODJfY0Ise}Y@$w6%r)g&P zPpF8^^1~0xfOC6)N*bbntE_6{YqUGcmv@0)CRlj)DN->eq5x2*z?IUeFytu@v_&$< z$CLPNq%TbgmHdZ&3tgRxyaCPi0k}n^!)p0t{3Eu zKQDA#X(m@@9?lFFleNfGuvsQdYQE{6eCtZE*SOr%xI(rlX|O8qSEAFK5cHeC8_q5s z*G4%3PDoj-|I%LBl+fX2!@a5%(BWlGhwv%@Cl_6gf(B69h^&qbPhvoN;h{J4>Be^-_7+LXA0k44G#xo4%c{J{jk2}XC9z((P&)x zz3lZDwvqlv|y z+OkEwk8^XjFDTzU994ao*2C{B{}nLMb^oQb#D>b>AY>np_M#DWjH~iecn`18F;KjF zBG3`bPw)ODGj`FmFT=H$Mqa4)*{h$)H89@ydrUfb`WCmIR;O2Sb;8#kE#(w%DhnJw zUCr=jTIje4Ug$AhsRn}0`!>_53bjE@F$scBeZ%J|YD@u*%Y>nPNyd=EM z>pPq8v%`#AWd>rw;Imn>z2W^++0T?H(1`Pbu!U6cqLB{r{{Q~frlZ@^4zcH_YmJ9zrv%lshWBaoY=5PX#wcX7rhN|!bNP5^H5IULLclU@eewEZWzXd-^Xp9KxXs_@cMWJwLVeTD)qgu;ZzuUB{xK& z6T+^U;&#HM=YR3R0-g7iJxqXLz-?&7;%IH2cJ&=EW=mX>F#+D@Q%F5~3yoQ*yKIC= zx6@iBfxjXb3|;a(%Z8hpxjnO4G97ye^QsTbl1!h`(Qj7mU&B}f=s$;k>9Sx_6-5!y z=&MD%OTmg=9v)WMjQ#oR6&m+D$`!Wh4+J{I%dRk%!?!xvJ`MyR3jS#xUY=JD%nmJd z<3R?unaP))>4srJ2LuwNkj@LOzz?V}6@?bnGuM$0HaIW_yHAuG?;;0{Sz%&8EgonA zE+h^9hN@jFOje8~^Yi-hPjc+&S+@?abI^jsjr@mITNV!2O}tN2c#_@O#0|L}Eqx0m zx_XCJoUfj56V7O8jKzN@ILEiIOIM+tM1KxFD_M3 zyqUBFdmX0A(B8*eU06;s7)cSh9TB1}IIK4Knl_9&81yALSW&ttco$=~r4a1IClX|M z*l(+I@l!*-8`BmedgNkohH^RMy9b*saq=Ls1P>U)&p%Opg_ix6{^;2+kr!d%y)ST7 zBi+fwdx=5e+KEJKa0ucU%EYNpsl~-)U~xotb5)CpzeViiS#IfV(YX^gz@UoP=Bij@ zUgP*8QNBVhY}c*8ut%seR^oXYABNZ7cf`&^$`VrBmgWrS|KcD_sWW2V_#w5c1VdOc~c={ke4K47Qotw%qEf)kk-e@Bo+1QVIxXPvMIkwMd>HS319h~ zo~N0|mH$lzNja-nXk25Q&i2_khJuvc=fTmTEf{wuK7y=R7AdXV%#oK{Ra+QmJl8mg zp?PL;Z1MO(Z-{Ads$i=Ks))wodBX|1<4g)GwM+RXiFadAf4Wwf+OyR>^Lyck>4(4{ z9}r5p;_h6-W27&j7{%D7v83xv>#XIBRY&lDD!KA-sMkIIoZF>~Q_iJQr^Rrrg&AWO zL+Xf-IdWu~2pMCBInAP3GSr~Ro_op_l_lB2btd7AB_vzXSY}WnZt0LcyGD-ln~_XY z_mBJgZ$8iadEf8y{+{Ri`91S|9w_yHHx;MYF#E1$8oy+9K{5CrhvU=Lbd=-deharb zvLCCTajo6T7+r>DnQJJ`M;)*CzY|&(aq`$f%Y*iNG^;foYzP_%-HRG(WVH$HRP~qY zRiK0?Rz8ZfgRVdIAE9Was|{$^INaWUa{u3T-feR^(5b`N@9x0LiNe5~=A7LBlgv4p z!LmGSGo7d8`NSr=u-?Hf+bNUbG!nrtfjakCp`1__fyK1g8JRzal$phB#WDKvG~ceZz~9@XkXbREd&bPe4NygS`x+xeo)siG%%Cnt zTOqAT3cUKv5yV-fD}nDt<88w=L+y-Sl7o7_MHC~^h6RSZp^?13Pi2NGd6D|?rD< zmW^$c$B_xC0Y^*&QHAGBhUU6^YF)=KJb$mEl7qg9j%~>dY@A)1{eJjL`Di)Keas`9 z@-5erTSYk$;1LjiK5TiDB3m)dI-w~%H_tbJ*u2fxv)fahvz7CVB zHK7$=PcB`T;iy-sx2R89-mpA&Cn$4!rt+OznWvjrP5*AP!4-OA8a-nKQOfnqCfs1= z;H}rWDnh-!a{q(1hcb*`3DpOW2F4obb)QVBURqLW&`i;^R_cg0jMk5yLS>}Lw$AZG zvrEyrWu!@iN#(T7)XmguQ_bLEdyR6fL~S$Mb9Vh{2XDMiJ8^Z!>ERA1g|u8@Zg+O| zaRs~H^aWirttzukNmrB4I@$a)M{XHfYBURtEPh%XQ=HY3k~HCt(3Dq#<1Kn(?^ia! zdfGZe>n-nlLT?UUcTAYoLYgevq|wqKRIl=$8M_wk8TM?A=S8<#kB(EfPu=_7i;+Ft zEOc(q&n^hUjByOy%&Hryyo;sbrNlEKIwb~r;0xsj1P}YGE*&@T6wL>Zor>KabF=}8 zC?nnNje4Q;+_;Q5nUim)ie_o5pbOClYzL@Al;D0VH9c43Z=WVWF z?9LYwCURaps|>8&zq1|Lb0S3EOwcgS@#kGfR2Yy&u(;$k&{RAKQ26dsYdzDLZ%Ye9P3Ls=&;J?*0d> zNA6Md9p&`nL+L4p5}BhTBX0z_Ds<3PO0*fh5d47pj?~^WJA9!nb!2h;aA5!Zha!bm zm3U7dkMW8({(1C=!M6uDFRPl!?v*u-+!I*=Huad?m4>|VI%YXhfT`l7RqpVg;6MIw z_0^ceGitw0nOfD8%J*+wgoVRgI;E}8m9E0(zDeU(#Vp@k+#L*CDe@QvnH?H6GkND# z8)k~@E7CrUU!4nn@K)_TwjsRLa`uN_>n1I>Hu$jT66?dU?t~k;4Tle`x-UO{(-Tm` z`T&J&H--P{KKDVuxpn$(&GS|MBz}tVd~OA^i$m~Cdf*U3|F8ZSd9^Y*K-s8#s%YxK z;pE`A?|05kPv*wirw4CZ44+;8V(=FYz3Wr@noZhK3SdY^qyRo?qOo=37lueNr_hP( zfIQfeNFd+=Z#0ql*(neV4ki;ROgadK0H0-28F&(&z>qhD!N5LLz|M_MCxXDfH0(KG z#>L{8qEQz|q~Vxk0twFoff+=S4*-#|I2x4#0(;Z&qJ;nxi^BnSYw}FEY@;PC{q3kKyNks8CV)a+;u3#7zUNs)I4f$CI1)VKY(ih literal 0 HcmV?d00001 diff --git a/simulations/figures_sim/figure_toe_rf.pdf b/simulations/figures_sim/figure_toe_rf.pdf new file mode 100644 index 0000000000000000000000000000000000000000..68a0723d5dd5970161a7130edd4420c63df422d4 GIT binary patch literal 22062 zcmZ^LbwE^6^EQg0poAcu3QI_LcY`#dbeFIo-7P8I-O}9+N`sViH%Knsu-{$O_x*kK z2g~lg_uLbAo-;Gg%pH(|s5l)HJu5QEd)0f*d)RwS(*~J|l#$d*{}VDVFEWFOjgg+6 znU$reo}CdXl_)neBNG=BGb0NV8xtoB2Q@N-td-&a_neBEodwWJiB!Ty@3X0yfi0=L zz1?SfJD{0@jg_IjfsqaDEDJq5Jri*3p)V`gA!=lPeq-hIyTZy9Hym~qJ$&SFZ9VMK`TMgHLl>P(3M82JCAu>zC z)hXF=iU^ZsYg?iV$AI?wfD98A5wq}hP>g77yr&yA1N8dX)BVEJ?Y1p`-+u0Jc(D*# zb~HZ0Qa!Enybp&Sa4@vpoH!cs zHngmJLT`C0pa*p%y3ljTeV_DjJanrGdYZ0N8xK9#a=z+0T59w7&^+M@U7#d@%IeM! zm=g`}&+Xc`#I&>?^vG;q?7sJWV&mFk?%oH*@0I^>$dInA@5(o;qVJmhghrs}Cbj~g1;VI`9OwGH0JsjIfysF^~mJ>9T6V4)*AJF|owr%fxh`3tq~y9&#I+jPRM zZqufJvFUnz%rk-%Sme3eLyoe>$C<>#&cRDDN!&dQGgn}p_pEHK!D|F_B^1z3m%oMw^W)0=W+~x96s^IL*9mlj@R6>6h+>WB$ zmnrU8D-(A-&2Vcko+iCO=N&;?vxds^wD#BEf@!&4w>X zZ>Yl`7e3{Bsco)wzo?_}ykQd)e{x4uDNQrWTeJIG^(y_>mP9~{^uY{b%hQi%6C#zdQ46G$R|U))pIA-&XI70_!|^4_$_d;p(j%^5Ij7F>hUSAA z$iU~gElCAwrYW_`9OJ2Q3`j?m*ad1he@Ibn7o}1!|K~DXIAO@O`avFO)?6SDbUwA4 z68CvW59!bdsWZHSwW$#~I7{YOCns5hL$Zjz(^LkMEw(J7;1ZRhr4?Z|X5 z>k>h}1=4W=wUL`I z4$}V?mq}SXF+$2Cjw2PYlXp;Dc;1aP;WXQMs~2=sLF}Dt#m_Ql9O#BLr*`vi&*>{*L{j4Px7cSTLyl@YU=Fgc40f!xfXG{PFq1 zCz1*mwl&1jt)9SUtM7bZ+$h38iTUt|{^C0~}gdB%H#tgDH6TXjLa!k9Z{=qcRQMRy#_*=Crhs(#@Ue!l!dgj~> zq`AkdjV@8}-s*YBgV@h=+z24G67z7KD%$@>SM_7Gqc-69!&YPbBfOTqXB+>}Y;BrW z=Ci5C(2o^PUp1LET?JbU{0<{b0G2wn9X^=h^^X9c4f0Tn5%Dx{{Jz*+m{zB}`lhex zMO#3~p&N9e*O%p*SMSX$T}#IwDSYnj+69O1!m-gL{Jnm&M>J)o*M7L4+8;-no}{EYPCWWL z_EG`Al0Qy-K@PyDyk-P|PiDE0DMx<7$Fb#Q;qh7>pl1S>VVE6LGg&#B$y}0ApxADt z*o-pexV82W0@D=Txm8SRBbEcuTIaZ{r$G=CV?a0DIlP{m%S;NQ8W3S*Og)yiQ@89|qpj`bTs?0K;7XX2leL zgjj622++Rfw^n3dLzS6NC#0OETth@*IR^maykcG)uQ&n~WB)3*rMJ+?%uIJ?OD|-|fW8;7Lu1ijqmqJ8a8d4>>3oC~ zd=M1EZN{;HO&?;}3K!evh=$0Bzw%G;0UZ+_g18SLJy&YC)no%K^P6si!BH(Y+O@hE z(2Bh4qOfhBo&VZK#?tL%Uvf0ifqbJ20l(j<7>07V5q@CMhP~R;sWD4+#&mFj`&eOM zcJjYKRji&B-RP02(jri}=Xd9!&3*}>zt68V=0V-uX06vhLY{UkDlyFeATgg2u5J+IwoIDR~))hQ~0GCt3GvdGMW`(R5D%+GJ>iq!35!l0LWXUG>O!vUta6CJ>t+S03UgOtwfur z@kg9+a)u7Yl}oPd5naSx5P1E?n#v0b#mbvt8Y2eC?n{oqBT+y>{X-i`^8N~X{ulSV z`LP^5|mR)(m)*xr;XhGAcLU zP-XTGCp)qimOehdH4jUds2#ZP#)vNw@dx=^_F>5J(F%F|)(+!wx(4GuWG*w>Yn`yUiM>Ooot)^Ja0nC-#NG**{AzkQxXcZ*?)LTGsXcYk+f zjl{V6kq>VyGZbax>TNtTit}Mh+I1l}gTfR!Z8b6sgK25fO+SkzBX@sZchDV+weNn# zi|>z%W8PGn2)wtoChUYTLJHp_Jj+oG6Fq+Yaan?fnnS&@!yZxSX@4Dsmy8otIiT7wLI?QD zVGXmt!y4w7&rrI7Hue+X!o)7wy^Wt+93N`Xwl!eD^cxvW50u>abNAaXakQ(uTFB}q zuVbYBy#ahXa07351(@Qg|JvO`Kc|=MXEMM1R>~P$kgq=|!5W^*Q^yWT_G-novjGPK zFk>?r)`>sHpI*)B%Qp;Xd$~_>_!oVEs0%2k3(y(U9_(-FQ$Kxk=8T;&EP~piZteT~ z#3I@~?Qmp^WfJ60jHUj$(0D^0O5&|~FYu%J`2Gfr_Rqlcbb*Voao9ALxj`ACqX~bU zIn%&lrmyvDtL2BoCGr$nLB>oWu~+q4`F81p`i7}FvI;YVj*r=Dz_aY!;uO*VH zNb!65%IUXH@;`T@sFa@=dOgCsgUl+=FV9vTuM6|_M*_2Y^#a4{Zvzfzk+f%h5t=HU@Dj4zt?16 z0~Bk1_f1VIn#_yv6iTvsrPjf!CmEF>*dSv;fSrg$pfgv!imQ`Hi3(`&TYLjsS6|mY z&etumr6^fZQ0BR4|_>E1peOqiv3FfNlpt&9?r63`nIC2~7~$w(!I znn9P*+o_UkG%RP_gQ-yGrrUIabYG!LhKARC0Tr}ZzD9b7D3XR`i<{owl=tzL(R$lIQ*PaijYE zQ72jGdsXKdiA8s1my$XzxbvFvvddroYXTng(T7J^M22n)wF`#G={ln}J$g6Pnzb{h zQ(-R%b|>4=vSW`eNbF`t+GIF5df{#Z>PnzFlS-JL(dxuwmBy~V*Sp>++--LQ0?;Xe z+aom3D^G#Eli^#4?BjN{tv9z7aU^}xm$fAKF?(OqAF-ZbPP%-AV?BPJMk1+jnR#)N zsp6Mju&dLmQX{`bt3uPF(R>^LNkI0iw)f;8EwqXZq?FvE+_M`=OoQ8(-@{UiP9O-k z>kr+UlRp3$ic`_5vo2eHA#MRZjd$U|fpBArn1j0XwUkERp`=i?B4~;v%gDXxh0a_M zf!*ZZ`JEv^N#HroMR9o=ALHUb*tXC~2A87--dr7hamE{x zm=9fBJLryQTbwP3yj%2fSbVCS3A!+Hq7nZp2Npx<`GM@x2U8cIO)k0RQlFB@{3^w-)j7rh+ z9BykNDWP+yUT8+H4_}i-P8(iY-tm~Mt!-^p`Tjh1w3G>xI8)KRvo+SaADXC7O}I>% ziEp!I<9Ev({?vM#DzVmjS;hY}n~Q$`aDS6Xae?Y+{`L8sjh#H_`yTRM=5P*0Y{i0- z#4RkhVHvE-oM4A`ail0Q<;fw6x_p9HY2tJ1&tXpBhjmTG(6e7d=~NATrlPEa7mi3U z$MGn$z)(tS_6ifUa2_V*aJuKNjtAQ^ejv;|J;37n@X?^AuHHn(=|u~2D0rh>mtZ7H zI__DkIeukMlAO9&P&yT=+Ioq~Lh__?7WmK)wlmP!l;(@ibsklBCYXakBhxNJ)ldHQ z1oLb2(nVg(3}RN~AIO@V{kIXz#O6~GFwb+xQ1QM44fYH!VSB57C=NLKpAnJK{Rv4DVu8fdz}6Pza>MSK1&XD8eNSxC zHzb;RB$FLQ=8oy$QXH>#!S87{4fJN8WA$c7n^CS@d_W3%NnufUjJ5P-a8kw%Gw08i zgtcLBBBLoAsgqX9f1&o*6K@F&0d^$on-$sTL9d1=RenXdnf9PI5(#02yF}Pj*IA*X z-20Jp$F#)g1kfxiR;uYM^f_1%8!coUvd&^ZY)^pg@-bVBQi&vPI=SsbR)s8BBLg9p z?lnJaENub)(ids=B`UF*Bc^E{lLcVr|26zS&S}Vu^J!$ATOh$)auMaes83dOiqG9B z`YmTL{`X7eL{XLd5aymH{bEt4(3GC#BuSEv8!s>%Rs7}NDl}7h<3qiR2$H-@LC`ae^@Hhl6Np_3@S0hM8gyI zM=<|5KUiyDKFzxu$Iw-{-YaHSO#CD^ec(G}K{9VQ^%Pf|^n`28;47zyPRdP_0oM#L ztMmc0irsl1O@_4%Uc}VmZS&IyqQQ1QsWL;su~w9i&V^p>q@XmPK&AG}rKt2wh-(+; zOSXgK{_H31U%E{gz1cUVGf`lAF-O1j6)3Hn+VCsMit2)xwsW=YpLs>jeM7A~=j1yk zYZC$0m+Cfan_nI-QV-+B@Rqx#-*z~x1<)4o-J-^-{9LEr)lnGV2Tovsy#FAeDZjh2 zz)@7HrUOn`8Go~0@Hxz{G<~b4)Hf{N=ikNBZ<#WfWeGfsbxa&17&;yFLR%j-8_6W3 zgKfDoD){0-|3#X^eqTrwa+6|hyJd0HZ#VI3l-AEMBU{W8XM(fQ!t)e$j?X?Oq?-)c z+kq!Nj`ZPy;iVNxN9@H`8gL$dB;ElYn9!d_eVn7WrT8~s?v1aNIq)S`x)nN7o>qq` zLVbC&waejs5bH0+`P<*}bNWSWXI7v06gK_FRe`Mvtj9ji@AzYc%AmScO#fW{TKWIr zi)}06E!VA|lEcr}b$A7j9>n8M18;n~<6bV~7&|DdcQ+0gvdxvwy(9zf49Jbbsxc44 z15Lk{5vlP6DB6tzb-QAD-k^Gkwh$| z9T?pVR2mf%{`OP2OcTI9AO;8)tW6!+WV?#ZHN)%CY5sne5g&khcz6UaBc)G~8fbix7-VnA5;>M^=vXqDL2oLP<$z(&h& z4MuAk@97^N#-&s*yVPpUWeASyu)<(u==JDB)iH{Qe1le}QU@*i~PcdrOpZ%|63HXCJexrY~zq;b!n&qjEfZ^pEukEhZx@m80-n?bQk z1UA(}08g#CyJ6EryiDne=Yd!-{xNHA`91NnJxQgazGy6v^;B8ltzbptA zm*LLk_ogH4n#D{E`F#_bidv59`92)bH?}1gS^fj|+~Rz)NgfrY3W|3#J~OPl^i06~ zmj7zE2))o+|1Qp4=>vVf2vZAO`BtiY!=U9gezX24;e|d7b^-y7UTxQ4d0<)5btGQ{ z#L%07kWbZBnl~L7YX&8b8QVC`=q^K%Z)Il#(Ev*1Q~C|%N2O+^eqxSho^e3PeB4%i z_TVpq37HG6t8=kdXI3lZWiAVR%0&O zRi_QALs2rbnmis&oA*cx$L+K0bKa>mhGJ(8s*68{7eyxZ-EAcvQ_bv4-;%jq-k|^* zO>|AHj*XWwR(BA`lo!iFR9O-PP{FbwnnM4lxlx0zXhsa;Yz9Og0+k@2f9kBf`{=|$ z2O!7ZXQyRWJm<>$0GPx+Fse%_pGPC>27xnb|Ec&p*p!6b-uMAiin11FJ8$sx0ksxl z#ZB|VQOj8L*I)vpPZCyD0hS?2ZYj=IJuCM&5kOuSW;xDb|8W53PVQ&jmi1%OK?cMc z%dvA-9vfl0E<>`3PY1tpV?rkh>n(&bEuD2k8qP2(LG+QwSgV|hB`{v$4<9vd%BOKt ztl~rFD7YqPc$t+G1@iGU5I{Gw+DHAxPZO&mLx)lMaYk{$c0&TDuK$qI#Y|mH?|rJD zin55)eI>?tuwtyb1TV~$Si%aTR(a0Io4#E>`5zRs{-h_7yv$yKmHbZN8*BzhFWBDbhw(o&wqXBp}+^sXEz72xxpzb$fV=(pF z3)}6mTqCnOt$H(x1JZwBz~=feqYojNh1M>*qyDan-nrk0DP|Abg$WM7Q5#ChqR~pv ze~sFUHBjw?SN?~RHPOO0fwrJs>6VUe$PAApA8p0A#n&?hj-DQvB6Tx77IY@(s7h!u ze+}i>n3n$#*r(OkJ}UW-Fx_F7e(S;?M!O+$uyF9 zek%a8+OG$V_|+4$WRt+I8Yh@-4?ig9kEH)cpj1;F_D+(*M`X|}36 zD{fv0wf-)3%l(w>_8KNo!J2G}YjI?3JT}gAcqo}GsON_%1|)DbuhRjE8V61g^>LkJ zSN0kf!(tl|z&bqiL@_~fLpd!zN}ZiJ$3#22d4;O(vC3*40fB?g*#5TLQ)*}376i|p1-=-p_iJ=joyXWQ5wVWW zGy{iRe2j}dLm!ts{2#>Lhb`Aym`+^Bk(KbNrBT2n=WB3#d~U?T8fxLI0xlDsyy9-8 z@zic482j9f%L3CcDh94MvV035|P-Zk)8%2P+G6 zDy|J_qD40);Y=cjVs<%yE3VhX<2aC7=J2QdZ;$a}$Kdf4+wo`+r~V=}=4}VYI{XwN zm=Z<@Ctxfj@coX-k%n`5XAefSC5Fw)Nh9fk>s0n1@~L>GL5j!zRjf#RWj6 z&0>?(lRvOqDxMXs33Q{*`}P?Hj^Y~Wae`8&!C#}ru+H3K8BOSo@JfsyjKin&eGjbg z#L~X!42DCKYjz`%U!Nmm)PN5nFt>RerVi={xX8mmj;NryaJgp~)N=OId z!TNp;t|f;{E&*r4V4V?dH-w2IAD{`IxNBA7K2^COq#UokYzO@@+|I0K!|^~UijT66 zY_+}FhrIpRmt~ZDgJ-KrltJgoO##Jso82=nl>oyQKHiY!0BcQjoP?#wG5k9}`7q1UG|e(M-DHxi@|MNO$1RtApy20fki@5|l>T?}yvoTN zD#m~_Uo*qe$6==Ib8;DkL`jETUqgF~g+vLq9-`;Dl0u@~--}Y)#F61NE1L>?+^qbg zukosc-@^iF#_|5n3VN@xmGq7qdhARA-NZCCj_TXg@JTj#L+g;I4K1Li5KtS-dJ=64 zFYs2t?ZY1bf-gDZ3j>`6#2>o8DSJx16+(wnc~3u+JMhDC^L@T1ay@x8a^9W*x?$$Y z+RWHfCd6hvx1ar~VWAMD^)}aJJ^ClwbcxoS8=RrX@{ttW0qzTT0lZP4l-cRmrRJ4F z6h<7mh7pw+WAJO9pb2?yJ}<#LH#j?&E;ELzJW2Bq`&SR5hR@sMHa%Y;{?$(!?6skkUDiWkyaktSg_SS z@F3sAah@`r9U`f@@R%CsR_bV5Ycd`?JDGutZ`-Y8Bj340&}N^b-(Zx0r0Ue+FS(WM zrs{AKkZAw9I!I*rnkv@pk;xHOJFrhsxOfvvs{<`zwE9Tp|-IFar*N9YRf+z!5_xrj4jgh#q z&Shr2r6^XGd`S8Jn$*&Pw}5W_=YXuWleXwq90nY=R84m@Pf*l5)v2Fqgu z4Y`0Y;-TcrIP&O7y5XcV`Ng#FC){La)n|BIJxu-(oIK02tnKPGCmmv9l2i$(GIF`qv z_fwL1Ph=V99d|O-;`=UD$s=a@f;RWsaz=6ZSike{1Y9UXTj=bue;ZU8k@g-!ez)a3 zx5B5@y2CjWgBocpKY};JXvG445%Is0cX!?`Hz+T{q&ZrF6fl_n?sSzpa#Vc7`YV}^ zO>t@NhWE6^fY+<_U!(Z*-A$ali?8Mkek=79{KS~3d%l}Iomk12bGtH-i}D~ABZq}$ zw-ZPXgHt93V7n7gin z>Gh5OGqkB6Xs!qCZx0tuPg+Xpf10-MbvP_6jrzLIT0iOY4zw(O42h0987frIrYw@R z@%Fbt+6^B1i41;I#`8v#{+R-hKrvipchjwxFlKzaeW!I6v)No(V1z@2%W z%_Z*(frWtk^M;T-MvCD&MG=2b6P>$rIQa!?gO_{e*EZ6Rcfj5hh=8!hB>y5^ewpGuJ8v4(X(dvl{DocALfqI&b*G zt~?U+ITj%=xerc_GnX6$mLQj^TQ?=!cat2Dx}gh=(xG)Xb191)D|2NX zVlh;AjpS?nMpvC;hV5M$!%VAA?!yZaong~G-17do!;;@^r)jxm#EUVWVq4$%k#!8u zm*yxwWPs+J)cQR{YE)(KR+Cd!$Yj>enh4AXj%P z<_>H!cR1H?hRAeU1WpmGObl~0(cEaRt;XG}i_3Tn#-}d06m+0G+q-tZISqx|vW?s` zpPquLvB%zE!@GZn_s=`%3CGmAi@DeMoM~`Ap}4G5=qkGN3hp9PsV(g zH;zO{+S3s?D!+TKi)kOpG7B#c-Qq zGL$0f7sLReloA;6E#uqs#QsG8L*`^97j+MoWe&vQw(qg4XUz-|*1*C1PuAEy5XS{S zNnCk~hkL(^fA~6-8D8=qJ;MZ7E-ph+VIuOeG>FV#8)V?_5VYKshJj%1@B71t>^BMjoVEYrD2Gi0p^d@tyyYz#fWdwC%b!t)c)CbzW&TyK80$`mLtggeU2HWUM2 zhpO})wz}eGYUVxNTE9zs*=#WP#|i<#`|Ol)YZ8Na&Zl0=)~&mG*V6b|n8LTR`W5FF zlD$@}oY4mNq1M%ii3Y-Gsy}RkS35o($I5y6m;IEKI7T!sG3;OrFMoEi?= zOSErg?U~VyA(lXQ~>BiN?;pA$o@WUpWDIP#yixRtS=w&1DqB17e_eV(RjQrHQQT(g&C z(LBLxZA2~4pxYyg2=kB~=&YmY3!JK(^GZEE+m#CXPNw@ZnF`JQyRRI5N881rw;;~V z@!H+u_T8e@B7_JsWyIXdRv`LOC&z8$tvT1$%|gFhn}&0%PN}q243aw+ANhVkHdWO( zcgjecVDJ$$L65>%)4gtGLHaLGFlBq3`&ry|mW121L=9@ez3WXkZywsxTLirORQIzJ zC8&L3++?B&3`;fRTN=b@9v)CJ_gel|O84*~E%?n;t=1K^)_D*K%CwLOC7{8yqP2fb zI4TQvqdEFp^=7AAm>V zFNPen(ce-yTo`W@#TPR;Uw0qecmqnw$USfKQ_fv{>@{{Wk(fo+76gyg-Ujd9{gVgw zb?qB>jakZH`svS35#+CHkK60AptG8u14JJY76}H)8pmZfiX=$bhl^zo_AU7~1j%)X z5Edz^1BSTW&twONV{PrP_2;nvDy6}u#oA(b>N;@an;50%n#@kd8BvdXJUg0lX$zEB zQmAHXHa}H<+ng{|=zH<~j~Ck5@M+#nid93usk+p21(cVM@Q;K4hJr_X;|%BP`(s#@WE>hB}fPs0vMm`Fn4is|?r_kYTd0y_|}TAq{UfRwd9$jwUI@G1_Ss<5KUCCdPZNazMgRJD6 zvkE4!0$EfTlc4NJZ&{}rE!13XTjpLBlg8>N^>%yKfK=t@)d9!2{(qeTJCO`&f1RE0xV`;bgV2FE zbof915Q+-aKiab(M}LlMbnm>1I3oo}D|lcw)?cbf_3+d6J6L2yW)nL<0cgMnmqW@Q zb+{vj(0=48GqHM(UC$&J*NzD-y?&#IOLN&?%*qm-?BOz^{?Wqx=XW_ZdI^|j)d)$r zniOjqQ33F0_AQRTI4U*p{h4CTZPpJj#^Yh;*KO0TR`jBo-(bAkUrvy=5WFc%-{?nq3XfjfHuNZ~<@bpOJ^r}wpB7MwL zF@1xEJGwQlA|Ks%;mBnmk_U?&(P3l+378Lc0J>QlN*a6PW)|Ch+Vz2YQ)lh&BJri_ zsm?4!X*uZ3^)dF&R}|inI$#hQ1~4=e+9% zz){({m)}uK7=VfvsL8_ky~K2UYTGHmDB5F8ajLF$+qE`y-&!!|)48xajY+)*cmGRR zPa5}gB<7~csF8M;pn%3hyYb-$-@3Zx#Xa~tR6zF9cY0z(Ok%T%`4YjwMQfkt9e@Y; zv-q$ge<%vmJR9}f_+SWe*mYbTBbt~GgxjCCpgMmDqj52UPJ>%h@NMGjKf5x_z|%-K z@1yRXmyfLYZI-7DU;x6cxO&a;lqX<6t`}DYp0YE4H)lm`c_`@BQU?Z87Jc;L& zNsBDAizI)t;$o%%LO5v}Lfv#Fl-_{g!65(F*n>76ue0eW@5gx!R;|06tui$kRJEOs zy-|_mIk%6x`1VBmj0PmrvR^kPIyV)3KIkTkxzMIMZbP5)bN^h{=230v^Era3)j>k} zG^M@<>75v5URld^JC__MX}527E{4EABRdyz;2+4&W!=%`g7C{b;u^hSAvsX2twiLV zBq&x{A}F0jYU8Kk>XxX|68VYlMMq7|N2)uT6Vye1JK52)UT#x{B^yWoy$|F>)e$-0 z%Ft#Uhq!)2s+%?YFHU4xP_f%AetA51`*|hbb{(LD7I3uj0eagb0KMN3ScZ7soRHif z2S9J87|xuoCLqw;UFhxcoq)%H+n1j=Po3J_#DB>DNTfzG7rK9Hh{1cF9vOW&_MT2! zx>r05o{M#MyTtocG;cXPC?>$L_i5tgrvJ4!AHN{CK*b3=G2bI@0VWEPG$BoSuXD;- zZ-QzCgua;HLzRYBEboc?PQA1+wA6V8nFVxTjwF_ZuS-;6Vz4~Ue1vEC%k0*vp-i5? zx0r>uu7Cx|{>S~HUW@$u_RGfbaP8C7^uTmhekRW`+N%?$ePLz|hj&QVKW8PG35H6Q zdGb~O&-{8NIpGYhSBG9kuSTUBh#GCu4THOC-KBOHqNgg3ZZ4Zw2b47`z;m`Y2ivQ|o)Je43$F$%CRxJU6uX5D&A#YYRUI zYQYABV7BL#DF1$Mky({8e<^xXORZ6Hm3Z`6J1?ab`~dGBJq=Zp8g zk`Czc8B_^EWxXLk@P{!M+i4G9uzj&{_Q8LQ5c!U@)SQY7-DLiD$frX%Er!QY#$rfa zi2MwezX&R(IVPVOM00n2fxr>|^Kvl6qXv=Z=8$D4Ho#|dRL6QDG;W?>er8#bK{wu? zkca1!tjMF;afM}5)>q`k=Kek!u4@NzHFc)9tw_Q4?b=^rRG0-1UrI*M7EB|fgANM) zX&FTI7UV!Ifea6sbS$st)&2R>;>tya$1o-v@<4(>N^2WUTC=Q7#(`nbP50n8dY2m| zICI3vpMvy^iU*IJ2L+ee!j=|Gj0s-UT|dJ-wX85-eG>VCv~-t}3%#kft*{-(2lT;$ zQ=vr6-0BnN!&?K5hNSgw5Lx_ZAH7idax=utg769?;lC3#RfROMe6JbsPJjn;E;H>p zI7^4cISo;tm`4A}c{C&y^s6On5U9S$9^3z0e>I-&9NIKmd(Ej%XQJ&Dep2a1V`Uph(nAE^D)pB?RK4d~By3jxb0v@n<(+ z)lFXg^!2b-pn_h?G7PzdBOPrY+#`;329~PxyZs($^h0+7C9uoV-i-iPMIh5igF%+GCoG)wuzT0sdQ_W=CqrONNoyPE+OiA8zRM z@#UqGBR`M_A*j#@5DxD`u-P3-9m6WZ^@Pux?`;u6Un=8|L%+oLMiEhD6;lp>Z6ssU zsh0H^<>HMWtp7l6su()ySq6lg(#bHA)K@Cu{$;BOWdd=VU*NoOLkXyyA|5QA;US3{ z3rYRs+GWim3DK(YZrFzLS|FJ7-=mXF{-L6WuD+nZoQyL!x#HO)6X-~ z&crARUfO(`*n3-b_r$N^LlHYJR=SA0&v@TN@i;lL2qS8@Yolz?PdW^X^{CEN{LTrl1H_A~9k7)HTFG?@<3qmg?2wmGK+4vA*FB=XbN<1*Lc1p*( zjQ<8Wr$P|5vk}1N?48b}?HeEE-fk)gk<+B8f&08olin40af?`#HgG4`S zsF6R3ko|q5XC~d+7o+WHYOoV)a*50`V^sHrbPx8tZx5ktm}oEoA@3Qs}d zk!_8DW%T!%df|h~Mmo^r7>+RF=Aw&Vz6~@)u-205kL0uq6hug~mbK|(_+eZkM}F7$ z05}<&q6_XdcY&P8>!HM9eKl2W!}X6O;B6hRUurJJ(=;SYh`q7&(rQ{Pq7JwR#@ER7 z931>L5q{%Sm@K_y^nsm-Id5%@18?QQg!=EIQlQpuQCrX8w>K{%C!eheSeZp z9^7&%oAXix6r&}R@B2k7os~?9q~$*S4(Ll~F;s!Q0YyIW6t>@aE~<1 z?BT&AI>lQX^33mv%ddV1%HoWOKV-K=BB_Gn6X*K$6`n+b2>k5$2%yPWVVcbUd292M z<%tOWHg^8&SK*ks`;VsPiObi}>8@a$Z1D5ctek{7oXWKK4A4?!%pb_=>WFBk2w`=Cy!O>_fUj)TkF*?n2_*BUu6Asw;$&3XN5TTv{_S ze#}Ne)$#e%AdDQIjNiBd*H|lGl;g?D^=!O@Y|whmkK1s zo!acy)ZzF8Ws=@;n9TS%wKSJ@IYOlE1Mh2bgj(v->_~tFq`-4i48{g!}ol1k<+J7M9vaHVs<_UTsx65;Kc7vCSkkmkQSv%5E&)~Z12J@l9v zcnoj$lm4-QC1YL}_vNBA9wod+G&V!jX^bqtD!@ly-{5SWBVHsuInK9!cbNz<*^OI) zWJxys4u&bt65Xknus6tN=j}S8vhJSs2ipBK?J5~S0K$q7&=hkau$A07qNr4e6hlEZ z5>fBsw1g9u8`t)6y`d83LZ_}=M(FL3;38jAHe6A_#{D7gQB40VnV?awb**pMqZW!j=uK};nJ60o!rL>~V~tzjtWea{^uvFY0< zW6YTL->5DiftkfTwNxUiD&dyd7?x%Mdwz$R!Z@HtlsO8W`uY++AoHC37IKVto1^Hp zNoaehPLlq}L3a23$4}AIDS~f35m(pPlvM%0SHQQ@c@m?479obk5*|4I7qo^&B#V*- zRzHx%%EoRJ3OUNkh20Qq#dwTg?9W^5Wf2D9sR}-_jT1p-P}c+UE~azq{V3Bl>Giat z8i}!T#}gD+2U@@U7>|Fc8aSSyBI@>=N=-2mpGEquPeIJtq2BCc#bJwoVH>G^wY5_s zKtH*{;a?&O^SD1X69FPH#rcOsS)E(ZC_gLo*Iy5b{y{*h(RK3UnszePHn)<(%NP59 z5>;SX|5$Z%qEbRs$dw&q(g zXLySKFrmQ}(#9*-P22%_s=R5Io{t{FTwQ5g-HUwkxfluHUc;+ilem-kp!BiCjZ>p_ zfy%^Ecz-Mib&* zzttt_S-P7`zdy~iI`O4jt%Qn1aqP=@& zR8~XpT$0wAK`bl9nYI2|{)D~FNFk3w_19^Ju8Vvoi5vO5DB6NRGx4CjVN|uHpD*pL zq<^D>eIFdX`wbm)KI?-m<+8K;%BflGmdS3}Bs%S)cufc5;dkZ*@6J)~p65ROHuY&Y zaMh6~2fZ?9_0}$C@A4U`x%U>|4&t{d_47X|cb->M+@@`KtI7fz=j`^&t>jeRw}Hv>^k2~^7=F4bf26+zbomQr5G@aRd0H~*V5 z6z~R7z%2MQv*D)IULKB3^XVc!Q){jK;6i-eygL>GU7aKN>JUEP^h$#NjsrYn`E7do z_^Ol+?c%P`;_6;yK!*pYJ3!cd>5i9{p+(Z%GBv-5ZGhKuo!6EWRduzJ(j{{mGoz#`?4KhzMk^%#sDs8^#;i+rBlGWD1|8i%31IZgi-ASJD9y4kK z3s;77o%RXtU$oUS9Rlpq`3>}{N8ok?dcy!cN{9A%-qexYuS_uvB12Da1fUz9-d_8T zP=VxEKgWRrAAd__{4MnXtK{*g(#F41AAc%*Fvyr0+LCIJ!YX?xk!k@IK&r&dkOER1f*@FHTaXzXeEud$DnmGI9Oq96KW^ z^WX6R=h&G@ng2T^5i1KT8|BY>27kt6t0W;z`lmmj{>Xnzp}-EoX0O2@B_blMXKQ3g z`Y;l$f5lZ`zy7Vb5UiMqC2X1uqDBs821c-(GROf1QyBi1Jpl&D{{O6c0$cF^R6R+J zb5v2D!44R1;b>8aLJy7^F*j9uEQ!)08A<<^2?<@gJp%3xyQs=%QN_sIXUtT~UfCj% z6>oz59w}DrKEV?mxBmQ!AWq7#1aGO?88Vo>L~`L_p58LNU;=TUY=n!r^+ovc?jw@d zi_DL&R<^nVL%*8nK7I7!5Dwk~ZuxUnl`!_D_~XRKZqp$aiI|r-Esdz8S2u6R1VX;U zLDORz)ZQ?`DI|n!9be99;^Fjh@_k4F)yelI)UwJBF-i};QS)I|jkZ0e)o?pcG(zJ# zVgAC4H()!oYIL|hPq`M#h0z)ksf&lR_3W~Nxs}4e*G|e`u-j_A0?$p39gZq$o_^C- z+0cT{Ac~6Fhi=UoZdtNV=kOQ9$DhNP187}CKh^0m$nyg6C^VJ*L!&Xjt_%;$Zhh_g z$%x7kO18>0ortGKxMBlmJbbJ6${CDT`G#kjlZ%rPOb2eI8u!$?O^&*7h|~V!d4MNM za@leI!6Oj`t~}SMX68BoY=#A=wfjh+=`LVUmjN!gveh2d-I}=3Os6t#M9EqjJEcXXg$N1JX!#!6CiVUJo_}*5*LmO9b=~)K9M}0A$DCrhF7xh4%QZG(Ov{(6-bGp8u}nWeBE{86Pg7JA0iq&0UB zWY5`hmlmm5;R{C526Jf_=OpSsXZKg0J^o-0+;P@vMUK)&gJ6Ya>f68&u^_MQ9TRNv zCUc<=y!g%w=Tqj}!#}fe6?;CntXB!)5X?;w6_U1XZ!UgxUV(%xGc^zzF_0S;lDfI_ z+D&l9GKr@`D-6|RS046&KMh}Za=8gaW?g7``i3*%#U5(;BCK>UG6Ls!!WgSC-SEo-IiVwe!)7Wu1DPABDF2nid5_sO4GrD|+su|nEl zG~F&=zA$qJaV;rsTS5x=7-9W|JFHp4LkomFTnx-TVvXOBaV`rn`#u(jEtOkQW( z@G_=`u53!YmKiSnQpcv@(qZs4hA%A=kwHj+b2fzRk>4U+x}sFJRIZzYjgoCjz~^3Z z`bW1_GvjoJ8OEx@D!@=hawc|fgI{K7 zMYPlI9VR<$TlOMZtqcNZgaH_$c@Dz?WgTs|2bdclo4QZ*kZCk(*3r@@!|$s=N$Virv2;a zt}=u}zZupZYkahn9{*1GrTIFI#@IpQXSQ+b^XlH}1pCNB8{+=T9#)Up$bk{eYGdtO z;SM`;P8rQ7qHL>lTwID}nPsZwi93g-w{FUi>l7M(J&oYw`7FMkgQkOxL+!|xUUcvF z!jj%s`A737do6n&^qTby6lnJV|G?|v7WfxD={6vrCr2K7@%NifOwlBBjW4HFemwa! zHfHEiUnGi$+>FHejCad-B=>doz3aZyRoJDQHDiD2-?5C8!W!fG$oJW69Gb1o(@Twq zvfBvJp!&p9ZTVi)@LVQ}^@*igHB%K)r5)H5Xd4(6I2JfNEymaQr1EJKzlOhGL{~&f zL|CL)gu8k&TBCkly<7CB=#mo&Cp;6-8(6aX2uJNTur?hks`ii(`moLcQkMsvw~lZJ zVXghxH?aRNbg7ONya+Cbh~aIzEBvaO7o*v+e(!ptc#(LyJ(Ast7wRcQj&ql0gr>M= zwMN`rm0E zphZ2|8d4T=@(cQl+;ZpTk3wIC78o?&ObTNgW~U1q_8Llr^TJK*^p*T9JX+qLte#pu zBtGOH72XlrF_tlVE1~{u6kCxaCLvxT7P0{^WxKZXMrf7C?eMe0CCW9*t;!Q77fg0% z24+cTNo8KjI@lc0e5TogQ0$3oa*ykdm19?b9X9ngOU-`M| z(ReM5KBwf`xjD&3)nrw3$)|uekNYwD()}x76qhodf>WZEpe2 z6`MztYfm9!O7E7&m1eglpBr;UtAZp^MC1PWtJRIj{`Q{G29vAqh>Oq9?oXWBqN6)& zkxEa6(L5^q-&wb+y<<<^a1V2?bL(_Tce#AcgPAjQhwso)m{Syp8!gdt)~{`%@xsa@ z%gKjA)XTIqpvNk;NNzT#96K*&UYQ9Vb%~dbGi}sCS5WdF#y(KLkEtM!=N4KkS_P=e zSQT4sw|qi-MXjAn;^C4GvLBo-BVN9nL1}lq>-em1^x-4!CUu-vJ5=$Z!qpmvD8c+T z=bYZTH`n*!akkv}%T`ydoMm16-H7|j%SYHO%NdIkIP0Kd(pc_;d(}s)OWsW0?{>^{ zz&X!SOFSlcfj9VVB3aRK?DK5wyaL)x=Y0r|Usbs~tDx+4eekp3*I}_jY#xWl)4Zrj zEcPqPX1(*cRoD6?Af)?o6Qzij$33U8B1R=fA>`8B*i5})OwfNWbIRD>b8fz(-^mp{r)!sJ|bY!dZ^E?(;vG_E*;Fj zasNx#IB|k`fBF+nwuIzZkm{9(iNDg^3DCoTj6Ogw=Acm;x>USwb^2AKhYYEfxSFCqy7r7tE)0CWh2 zf)~JjSX6I3o#jixvzQPl&6`Fg9s+j5FRsj3nB3h22K7bZ@qG~g+JQw~0^QH@WG zE`WgG*^BoDQUavPVqd<-IOF|DCO{gVc)-r^=kUL%VE&Ia5rS)45GhB9Ofmrvf`0Ec zxH%d^U|JXyTri`b0`GqjbYKWUf}ni+b}_z-v2Qz|kXS*& zcg3^dUHNAM5(X0_{8T`HCcw2|zY>1hOa6gCz<(`T@Ms17BY#V2kpL7eNch9s@U!Se z0#LL7VNoS6d3}};fT9Hnf)1a5N@=lZ0YU(sNCE+J6afO7@$G@2Q7CN`garA4E$GvQ z2SWXU!O_5x|AN7FP$)pvF2T^+zsF%PK&zL;VHaxs1%ts53u=5RhFyvwVCV%!{!1JJ zhSB*w4vPZr#IJF17;0&L2sj+Ls!QVlTh!k$1kjPCaR}hn{)SEja=FT z00Tt$(l{jYx7y%HEb#VxUyn)0lPN?x;OPp1?k5KlfwP1_cT-6;;48}Frwlt9jR^q? b`ufd-!Nk*Ho&qmbGlRaH|PGthql^(gJA literal 0 HcmV?d00001 diff --git a/simulations/figures_sim/figure_toe_rf_OOB_MSE.pdf b/simulations/figures_sim/figure_toe_rf_OOB_MSE.pdf new file mode 100644 index 0000000000000000000000000000000000000000..8de0ff221a6ed03465f5c8aaae22189d2801f3eb GIT binary patch literal 14058 zcmb7rcQ{;K_qIe3B@qPiL>Zj~WAxs;AbRh;j8SIvPNEYcBzhMlN-%;TA_$`QE_w-~ zcfK={JWt-|eSd#^t}9p0th4X4*V<>Vz1O|Y+Vqd5WLP0=TsZWBbAj`LJ%IxTE;tYn zI|ycGha)6}1D15LG=0<%DvTe_g`a*oRUoe!28An6}$I{UPr3J^| z+JL|so=%n^u%s#6)B$D<0zWpjwsZw?0u9ta{{VRZ3xH~eYVBg_2>;a_ED3Xj13z6s zd{=O=nx!iY;bIOvkLzF0LpAt49FHs=t>HExeh4222rOgk00%4p%QygoBV}n0v#>qu0^FsXOA#;*8<^^t_tz z@?_omv+?B#RaBkmS)=>q!504FH_@4)(3$AVi?b3h*GB(C_tMI9O|p!U#@9%lY z-GX3`5n0S##veENZg~-~cP361g~$*EK}B^==Usa14s#Q)#h$cnzlTv{zW7|l8f%Ho z-+mU{r&hX)1=_`D(|&n7>D%lpa?CVx$|zy!D7cFUJMu0^|1MUi$s5E)K;^kfX>1jS z*<&)NG0G$k;p?yb%Ldz^8KP*w1uS-1z#om{++@<*o63Fm-Em`%{kZQDHR<7qQK|4k zF>LyLtr`(UI&-#~CG4|1CFw7eM9q3+{&96a;zdjC8SfUA-*%F*h|lga_4!hrd*iXy zsD2D|bS7p=xVUViz`*`giM8sj(7}a+VvF}yL+Zhn+q=AiN#1IW>Mnt0SJsWtF)k{* zomJ+;4c7g6=UMNPylUf`*eduD6d5&9<-4>VlGqx3_KCuI2Cnbd!em672F;05qZp*_0O?y2yN za$oGDor|B)r|}2%4W}P&X^GPRcX#zCF3f>gQzwuUid7a-eUZUP>Zpo#XE`K+kFn!&y3;>xrEhNb*b&u4GBGttX zT6XY0-GHPq0w9$TeWmWL7MUAsP@RW?ny4WTZ{26p*;?7Hf_ppdK@>{gZw0%GBn~Zy zEN9AWjz&pz+*;GW+;?nN`4ZX>LCDuY&yrKS*oxt8I)169_wV{eBk390)~qJo@z6}m z$47m_rF!D-*|dJ=%YshO6UGk=_=Sf|G)QF&4gXa;|7l`HWg^psj_xNU3iBPGShOII ztXaSTNnq={HWC~0MLD_KDtU?>&}BJ1P6V!@y_pP|Moh@UXX&Y^)0nJ4k_la^YF63o zw5bz@zDn2amYbRMFK7r{4!Pj+H5+%s-AFngoq zzMXvHk-m>UbDbkHc)ZMWe zx8i)MH;OfuWkCplmjGirG`grdl+p;0s!6erHwQ`4~C!(iozRDrd8Wtj?Ec zF*iaBEAG`*mFe_iI*)_$2FI`&9-C{?uHI~+^r9Pfv`9oZU*;WP%PCwOwweG-!-`zjhfqi z%UDIu;7VV(rd6y(>On4<>+rUPz3jeFvU~~Aqs$nSQNH*+i+q02sA3oW`7Hx9j^6QSm@h%V<9mfy0IzL7hG<3GE7v=tSL#Hg z0rn@@7;FXY$B5tuCvH=Yd3rB=cWH>xnMlXX?^b@a+#cXPNYqD*V8|I4W)og$uGHh2 z*GhRt_)Aq=Co#Un?`LT5ORsZewz-gnF9_X(<9pGWaPy0@jgRG7&j)NW5&}Mm-Sf)_ zxhm}KeUi7sT*qZ_JC$W3>oqf)S2XL@zZm&I7#9jepXVyt#gfJH`T5I@XkE9CxvB6f zu8Q?)CN!9%J!^?`kw!l1wtLtl!AV({e#w!8_&t4utvkEPcsn@|ulD=g`p}4=>dFR# zUGKN<-Lff z+i$(&J7LSfX(Hp7y~RblUhJKTftr*;FW3r8tR8e)CUV}-2XWH@<%GYpeUue$5fARK{;c{-(Hj`)AEr)eeKwuOE;PqVK+b~5j<5) zcICQgC&lZSjz9RIaV{s0!LcQ${3Utpb6cx?mYZaVGuUW~QS7&-;W&fkAN7P~?q8?w zO_SJ|xuivH#W*^8uB2;!`En1Ra`!Wlx<0xfO({kb>1)>9^|@f8J-M&M91ypOP>Fiy zKBTabacMa^HdIZ)L-4Sa{1oe9h_ZYqbCbp=l_Dt|jH*RvK# z|K=$@p&O_GGg%K>MymIipD{DjD< zLU>mBxw0$^@iT?1ok)AI=oscCKr;SX9~yHXxo%))`b#=AwRW>O*afJ!=aOsvHFDI?7^+5_@|CDeNrcs%R_$!+L*d>^DTOQc@cvPfZ=#qPm zpX6(&)ZnnbCdckrWkyI#4-=&lm*QkjIPFCvQ9Jk5ngSzZwCI~5G@vOzN)gG@g@%jv zmUuG_=Y06&!?zBj&h=DZB9ZX>75fUPu zA)nb+Gl{Ow2EF8ERg`nbTkWM)r8R}O-qV6+)D)*R9LE=qmKd_w+~ImAwtRiJa0VQO z(=poKcg_t>vT5CdQRfi=KHY?3<6LEZ%ncw0`x+7mO3}w45F#j3aLWyyTY# zjPu@WTe!ad$6r2uEUVt+i+||#&`tYV^RN$n^Y*u`Rj}nI(Un77loU6LxKnsj6da+% zKfR%_5xn_>_i%M`k}KXgI%Xk;MJUYG-yZ!;&dMvw>)?>~*bIci)aGg?An2 z^D?;ZzTmnkV^c^?{~@j5CBv|wKm}fFQPMputQ-s?U85!?DYt1dm#tnUrv*(g#LKP0 zY8h~Id$$Jb<&kBXcPgu6?C(#-k*lX3Z&@#ra> zS8=ae4|i|mQu#sx6R+g?_EcZR2E%x)Pn1IHw9|9MOl$ACQtnO+Wx<2*j>!6mgjl-L z%3gYIe02=#HaFLm7|(8>b9o$OAM)26ccdg4DTuRaqbFP>4Bru_Q;4~NkbX-gm2Jo z6S`lLT}|mjR>_d>TM((&(JtYr?aB8}xLdeXdtAVVBHfQi+H|$}*CM21sU_kvQ{@U# zyQ5U^oE&ZJJYl$2*|ldj?6CxT1uk?+17!&-2i2Vxw!K(9-xVd=L7W519#Voc- zEtT~)`CosD+ECccle>AK*9bi+c}*Fd$Hy&e_7$N{hl)Ct4fYAcOPY3~TZ)a&wjL&M zjGi4y7vT>@?q?sD%I;U++9&L8`(&qa(G$*nd*(fR>xWwyj4~hIngtOn{?Nmv8mcnf zvoF{@X@(27>J30eE2mo4n#c#E-H0;@(h#jnBgTyt8-H0@T%4Mom*5u}BlPctX?#~Z zYggp15i*)EvJ+ME9Q3M9@Jrrd+J_gOS?p9#->T;8e5ckj{i43{?yC;XJf;TVKj}QW z9`1Y>CFXY5@WStFP~L+jYj?fqQ+wata|ESZV8NQ+w4eRBYLW2jCJZ**A(^Jw|JIV{ zOcEaEMKWUsoGE38)FNHN+-~RF_*7*F} zIo0KSDV6Jy>_vfuPwCwoXT2??3g{vmhzvEFADVm>GA7Lnb5%5fJ%+EAJ1`m?*HmDL z_5IpF2MfN+<1a{Wd(hiDb;{0zvumq+xPr_vO{9&WjYgehg!79++E*QeW6p{5sX#ix z&qSYp{Y{80$K^+b+g}wt=#1aomiwyZ(Gq)hhjaD&VY#_V${FTHqgZh)+kFne^J%%;tUiqjPo%JR@MhZ-1{Kt&Expff zeb@Lb*?ZpY-M2IB68^)gq-ESv-zEE)*0#MjBH9rfyGFYMy!QJL?uW(~$vN9rmNw}R z?;UxT^4~X3%$Q5A*dB(qtm7KH7K@bgfU%GJO59Glt>?7@*E(Z2?0le9jT5lOB|D$7 z?_>V{6jBop&9=moG)uFBD{|K6hU5M-=lSmpY((Z54 z{Vyv7J0+l6r73^5kx$Xx$3w(6cctNeTylL_nSn($_U7qVey6-MP}U+7Vq3V*{0-fr z4e6d`M_Z-kjHLEpNwPN(Y_6BW+ol?+03J;fh~m*JMovJO{4twX&xMYBl$r~(7DEq+ zxlx@)jB64z@ukds8{A-umY&E|qmxiJ=&he^uuKh*ei%Bg9~0uwn|U)jE$@M}jeOn} zi+;G)YxQ*20ZFe{n;6%2F7rT|X5ll&6z-;eE4E%`wbe2`VGhxuaBtN5yUjonjhGvY zdkMAKMbp+d3No!)$)oK@uNF>c@x!3gM1W#mw5|EZS)T`091nc#hC^3k`RvvdL3Psy zV~`QGf;0BsEJeG%z`)s~rK;ZjaTU|LmV3EK=HC>&Y_!#|_14=t2PRuQF7ve&SNgx1 zyLc1u^3q%W`c*NBk%5}xpjcaNXeY!HUm(w1IJ_R3$E`ORqbg#C)-r zS^Sw+aQ-xW`vay;U;B?)u9Szm(-qXbWws)u0^+{wjngmgzbA)L=P4Gg+{xveI`mX@ z$BUYO(8_TBGqmxUP|JM#*U+c?s7MS2xzR1FKw8Ia@e^_tEuK6`7u#au zEy0UQHLQ89Iy+oU>lQM_70RSHXYVZ*x%mQdYe^^F z2esp*JB!xo3HdyVn2CaG#l3T5 zW&+|*wa=&%2YL<(*T}HKSHp8RbN9rg!c`$SS_K9@4ZS3tgrNA#1VW{7%Sz!l)9hTM zrUy&(rIjX(-9_4T`#+K-?Q=776J&I!<&WoPs-Bg+rYHIS*;ejzp}v}gtb%+}wIMu` z|EGg-^_nGXMFjUlq&OX$h1H}0w?+ls5y=Az&Oe5@N#;Hu;w1QW!)VGjo)Mwe0vOp} zCVkJR6zN!6_Vw@Ee1GA|lKCs@PP*$*Aa}HR!VRB@NN^Hsv9)s5Xr8#MJjiF}o_0K)Omx*5c5v zP_K;0dROysAoc`#{-vFRiQZ64LC0lgp13wQQKyWk;5bfobvSi=6OoT}sI!y*gvtm3 z>p^CVXDbiiQ7wJn=vdref2Y)ny6Lf3^(+eQukkYBKz=Gsgto5$ul17RH^52BMch2o|f8ID#!yWHd z@uMiDQsv%L6zACt6*61hNfo5)>80qIthsUJv@}zde4NfRYU94UzShH}2pa9w7}!Ua zi@Q@JsrNS4A4U1pgMb_dJ>Y3;nl?^8v~S_g7p#QalAYOhzfu8;Y3_QJ(9I1(?Bap} zbfuOor@S!dUYY5ulwnb^`;CHe3d&k~uzSF7o<5_tM?vxyN3K!oQ_*}?SjZ6V*nDl= z?>$4Se(q*Wh8~__=`|u`j?AMb7LWsD*hBx>yrn?C!>QjqGB6A1}Rx9c8##7xdRt%$Ti4K{hY z8ZgV2<@PA}iQ#pz58mBEr6#DKTf&qzGl})FWFU+zb3uEK4>3hr-g%%)`BKMa@~q+o2s!= zvBz{|#H%0HqfN~sTiC7=#F$=W>#R9V@0*0&*~)cgQuC9#mXcX-N^8j}cxq+r^bxNS z)MhIwxN&6<(ADZktQAN)fvj)>u6|w zD+XgKC>XqoZgI673hgyhtayN|i-Zde$}|APl5S+nfid?vI8Y~IWFhi9pWQ(_X~#E4 zP5JLdzO=1twm0uWG0QsG!tP#|zjo7$Y?BrJI^J6Emp!VP{hJ_fdG^Ej`htYbZEuh= z@DX8}Bryj}Zoh^Dr2FEpPp6**0?P;pukvCstNGol!*KIujvt;v-e=lhHDBE19rA#^ zt|Q+eQrBAx3WCyWbbq^zy)tfkjA)oQoTD@WC^9oZ`}Hwz=v0;lB+$!#a$Bqn3(+(! zA-GDCiB{zlP&{8d34uFB9Nt}H!@|jI=0UBWKbbY=4ZTO5@e6RF7h(CXV4U6qran3t zooH2VO=4#MyIj7D617^StP8`Bt6aGnkY2CGyY+5V6Y~MzeUcYpm{i9E^w!F-hfxU#OJx!EigsYrhL9=~t2`=f8{ z9==9I$ifee+U#MEEwFMM$1TM9k=kg<0}+y62}M{Tu}UOo79o~=TrbF!aQxNd_NyIA zzANMbU;177YS&koNNb5aK))-q?#3jwNV~qCbqaT)o@A{ z#+Ix;dZjwX<`p6HJJs@_U8j|Uu-R3Wn*#ElWNV0}m9M(n{ljwVfyW|?d_B*NeL0q* z99o&?b*2?!hv0yrY!?YT;ERf_K*$}PEhb9I;E}=pdlyZz*T?V$gGvT>dPhF3gye2g z?#mgdDVl4%Y08`&4Nt04V72e*R#)Ka?bO+NO)448^R0$YR0c_#YP?-`{VPJGbM`0b z&F+TCJtf>n`P$D?KH7y3hCn40xRfFl1NUPHAzXZ&(%nlQ9Z#RknGt<@bB~#k>4mpF zF(gtZf&eS=$Lcdr9P8m|i`1$0rhJDdnx@=&O33S)IFt8}T%QXV@(mV#qN-%FGwe_BOmZ|<7(`9xs; zG(IoWlh8rhzFoCXl=b(#*3KQd_x&oFnR`FKCeVScp0nEs$|ZjPKv64v{U*ak2>m`agQ5e~DPoFMW^G}qg{0H792n9y~F z7G3h*zJgw&yd>2`?p+(RFL-aN_b#?Ag!`!0o5;h-9Tds%Cx|lc?WmwA-0>bG^H&d#y|-7A@{W(%m1glYsAEho-&L2b*KZkimq%#Lo8W zP27BCRh0Q8H)|-db(Fec&dHfaKU}2d>RZ~vNAq(7Wa~rr6C0?8W7E^Bb&n~#lPW(| zCDnYyScY)o`=6%!Sg!g&%4lSki$#Z5e4;}s(+cj|pgK}Jn~FJgsM*58I(M(EW9zGa zmGZR#R?|t66S&Cj9d%#4s{#M^3A<)rovr7AFVAn2=sk2M>$!9zn*3(vKG5>p>D8gd zT^D0M%K<)DCV!X_oX)75HX8T~J#3*qS4-oe?1^2EKW&aO%{pY2V z14^xKHs6|4XZnXzpecf|S)sfb887Vho+1(pNyv=A5+h5J>a(y9y~1aLF1@{xSp;DqrpWS+yUONcM%4+yLy)P zsOk6FC4XNpAl9y=Q7J(!%Y2hu@*;zg` zzFbmF&_0vD^k(qs(RQq~lR{$hTL~8U->S~ygNZ)AzRfv}dHy3b-QS4viKpLr^;U!T zW|7du+^Wj?@fH-p6kfb>cJ{upZ^z%2qJ!$rQ+%xM0#WYZfzFrBZ~}!lIPzCpomX8C~Lm)DvdDJCXtmvy%_i2q!!~WRsYSN*{+T?L9c6 zHa;J$hRYK}M@g(7U3`BoHaJxl{v26d)BgNw-K(GN-p$KcddC*&Z?Zeo>Gfgb9a5id z{adG<{Yd_+*`s`7+_yvZdgm)e68Jb-#y+H>3lAgs9w%vx3N!RyD!&T&}n8-wCaVYXt|+s4lXbng^q`cv;^!gZ@f7E?y}fG;je zR3EXsgHlZT^iz?*chA~42<#ds6l*JJd~-mZa1z(1>p5X*=vecn?sgxk)#?J5!(Bcn zr}l1{F7bN_Z0lnMWB-ZUKh9~r=-F$IPb0v){7a@-i=56QBrS&!q_f6VZ&!qKBiWe7b zj(y%PQVG$P$AHO>cg*4ncZ0Mbw7R8O|Ji-@E39sMsXAyNWyVT$P3LeytYr~qSyt-b|`ZO@k=WQi4V!?HNyjsfTt6ufIHEFxnSL^zoOv!O28v%P@_?5 z!*P8F)_Am(#DghvHV5-R6ZJoyx!j-eKT5hhTKB)$IEVQk_eLL2Q8iwcZe5zpv>cz0 zG#)QDiu&x{yR|8Bz#g7Eyl=HTW9L4MkSLUZ$hAis*IP`~&=5dObg z^00$Ae(3|;!{3Ers9(QFTpU%2<%lv9EM@6tYi@~pC|DUN_5%MZ*#Z>g0S4#4OSVu0{&&e% zTB5s#`WQ)QPd#t_N2K+&w?W6J4+cb| zn$RvY5^8j5AZU+YMlJ6gjTw-Uw(|*Vr_xuew7*1hDRr|ebkpbtacDhv-C@!9Ie2A> z&%etNB1G2d+C69aV_}kUKANAfAu7&>oi6e-0-V<$BuHE=YKUn8$4^bz6OZQhjHbT0BFfs-M^{3I#i6X!C^e8Py zwtQv3%^OWS2N``urc3_K10 zCPj7Be4y?3>K0mAzGcIwa;@b)(?v( zCk+&@W!N)=SGGWidh9;ui-$ubjd&fcyz-?!f9alcI>uYd2tA_0 zx3<;#!+0g}RO~1t`3S%HB6qANF?{@ppf^$HdLH#( zVt$lpOb-Y^*xnWod$)XXTV>IYyCVBuy-Yjp3A*sre*fs=3kjWnjJd27$9qE6?(fNG zde^x?XwqWnYhw3T(1||YKz<~6kA^>seqEd??1r-mWH#vTvujcy(z^jwnfDTc-kLDJ z#zbTia0T-?-Gc|3&vNl$u?2RT+?c$k#(q0JfcXc`SFt-GPrlqCRttrLB)^cqd!qB~ z{sKCNB*A0ygq!q|5^~px#nv;`UXvF+UCXjs(O+SL|5b~2OR_ps)rRnd*b9r69Xr2C zuZ+L}qryam?`BL0X;b?T4n8Wjpz4n=oX~ylY=)>bC(RP*;D`nm5Cq&I5Xg>XCm{JG zBN698hfP3T{ERU7x~Jk`huOr*EKFm9wJbVGg9DhEi`ZrqN8%)PtV4 z%UIyM2B{OkEM4CdSLb^h9hchuVMb`a3^p({; zjuX=p#EGCLtEP%(!y3a7&(Oo7(xIi-p0Bru6b8qKWCo`TIR||Q2L`JP-3w<1#B5*M zhS)FIeedHd-iF_X#&nWzrpEJ!E>8}JaCdRha%tOa4v_bz4)+i540QAt^$Xq*9O;edbN6~dOh*l z@H*VXK4CehJEu6QKT*dNz@)~+z8v@OQWNr&7yejA;^R|v^a0G zck?=OH`q(?IP>aS^_#eK-8JvvP~x0|dX3@nRPZW7iXrzoLc1uwVl35lg|haND3eG; zVn*J7L^$yLRkMR-j9x!$Fe@%=9ZQBTnNEv7v|_FL#0CmWbDXmAZF_1)WTS2~V7^=Y z_7&?0vh`rxV8>vlrg+({$Jf!?v8{T-+@dDsbSmAkH4c%kBgHO@%eeu&}pSOh+6j~Q8i}zR?4I9yv-Yy++us%>YV1|93=&Aec z-5WYbw5Yz}I-}jgJ61j9-qAA+dosi9U+MqslIQaNHN9(-0ZRdeVr?H^1p12SW@3mB ziQ@-#1xYsvQ#;9-d^vblw|i?DciH_(P;Wr*M%Lk{sOH2czEm;T__(Fm{`X9YRPXdP z2Gp9g2PI;Z($v#*(rih+l9JE%$|24n%1+5KZu4kMXp=L4Yo^_56fqD+^cm4+KA$t6 zGFL!)!ZKOoB-A95#rN%mW?tGel8t3pC$-_|h_Hn|m0p&xFB}ri8otG!m5SND*B_8q zrC9LZVUul>C>;xi1&iP6057Z1)iAtZ6jpFknobvbHJ7dyx1;fqL<2Xy;G|$UuR$4C zX(Ho*S(u?-7(FTOrL%?{K|b~=M-}HTM`*>@iinEb&eWt010H%DLT*dRvB-CIEnH(g zg8`qV-WhQu&nK!s-(}zxIFw6wNoR+d)Qs&Ybu#Yw?lu|)>NOem>1XPfAx+?U%N-}0 zy+wJ&UfS!WYU9KGn$eqro89$#r$_BG3)N9(KBx8e1P z$!ZEFZMGgT)dc0cdRHuS+4h(u!KCjW9-C^bR!5d8zEjjAGZ-_pd|Xwv=8I6+my6a` z@_uWzkv~3C=UG?!eS363t3Xp*@6fT-WUI@o@uV9w=V^rROJDv|N*)>B1OKj*+8X(s z!phZVzi)o4fnn&rT`^rV%8}|{_?1-Zp$l}_wL*}q#6*`ay3}= z7{mS)o=udYyp)kD@&d88y1Fo6Ua#o2l^QPW`WE~F_QRofY2)Md8~tC- z;=Zk`j=-kn-c#4N*B!5DoxEMHc6IET)O98GtzJm)ua7uQKD_V8bzW|`1`-xo6BhVk z(iALcK3UEvYI(Wm_hE(l*t8|2TWXhfLbi>;mk}&#bmVa+Km7bvL5t|aOM}y|3uEq$ z9%mfv#Dd%x276}%r76a*8%HnuH!Zi|qkHGtWTjR{Ngq`GU1wR>p_g?p-HAABw#v62 zioWz)Ili~Iy;%^YlHrGb7_xi%Ux7a===~j~|2&@{?FbwNuyq6uD4@dDe|~A(I*L2G z+Wr>cfTe7$tSo^;38+&C`XDZDFx1u&;R@pC0XrjLa7zbED>x2>iwkT41I|&ny4r%k z)-I-QK#Xf@jzERF=C&^82&k2Vr3VNMw{@@pL{L+67nmamZ02H#Y6u`r&CP*x4me;7 zTc9gfTUQX6%@GE-u(Se!U9OZg2Y85sgXte~8-$~^sS5(?V2Xf)z%Xl=qoqC2o9We) zT~U#{;U9te74i5Ti2odcD_#OtN0`B{4s4)=0O3(Kg#s!8ROM=1ezwswb+VEI)G#vz zj$-^1{9iGc|Bq(^r!i1t{qvb}mJV)~a9eXz9Psb42K}Tae{}HAu@anL$4dUDO2A1J zaS%HjA2;Mrjs78c{}+Ilo#RiypY-k5#Q06de)Yi3#s4SZH{(H_yZPS$E_U`m0sk|74zhpcdfYJYw@$vmPmLJ8W|Fa!C2a1jVTgLxy83bU^|JDz}!N&u zIQY5$3(Lt4%(8#A<7DUmFDxg73z#1N`8-YtK$`z8c84?@B_2`UouXve~$r# zlk>lAj%hj4Op^5f9cORLD>{6AhU-irVL literal 0 HcmV?d00001 diff --git a/simulations/figures_sim/figure_toe_rf_oob.pdf b/simulations/figures_sim/figure_toe_rf_oob.pdf new file mode 100644 index 0000000000000000000000000000000000000000..07767bc50f2e8a9642a317edfbfb95fa1b17a249 GIT binary patch literal 6430 zcmb7}XIN8Pv&ZQrh)5F=lz^ZVAtXQm0qMQ>UP1^E4M|L)cMy;!RRocuG(n_yK@d@T zm!g0)0jVlQ1e6;*$8*m6o_jys{bgnS_sp!>ljqsbZ)OV^scDFU#Uud&A@d;%Ap;>J zb~peSC=SFp-vG$V13;=c1dM>hpw(am1W-`z8bll{3xO!kNFU?!f8H}g z5>O;B6QCvzhIL26@jyc&0ZSy1+>CG-7a|;iJGm<%1{DL7v|ndoP9!0~_3Hox+T|n* z$Y0q2L1sQ!1Q4VOBfwA?Hz3Fe=7zunB}fJ)z`q@&|K)IEcVdl0pb3APgH$nS0%?l} z%KUN%nIP~OA`VW9C;4CTP7HpRLl1#=Be(-064FvYkOmS(AUy#{14Sy18Ul`SL7e1` zCy;990r1Z3v(vxJCVi%Pplsz5_k8`)h6o)WFFAc|3Z)8N8y|H=!aARNcbTF2`^~-e zS~s`J%CvT<_xh$=+H@e|(7b&I75Zs=XJGU0;o*b41c-f#`OaOahSGhp{sP6qvL;86 z{&x@JPz#se6KUNEayf8BcxP$tzPnujg=ZD z15XVQt!+&_jBcE^(wJBJzhc~;U#X^P&F_9Ka{ z3{4)*BYvBg`9YcKX62G%hkK?fFQpyd^#72&G!%@9RcHy+(VDni9&kv{|4vlzJVhVe zUhYN+#hlBBtZt)jE*;`VF$E&bsQIw_Chvv*=UOJkct=FhUis`=2~~cAK;NEO+qfks zU^=*dTDavqs3LNV4?UpMD^Cq}dK>XMMI#M+%CJkYw|2MQr&}Xrm#fWmgSoBG^mKDK zSRPR=4)@kk7ggD60IAlv(R*gykOQsDBRW5mvS~M9 z+;6p~>M7;ZxpNtnCas<&6G$E9Z_k8{Rt~;zB=+l@svZcd)=cYpW~gNM?s^JA%--iC z3WTr`d$%L|^4eb5u;a?y`=a}_ENiRaZQAEk5S~wTkwH7GWKCU&3+&!02{Yam$p51m0CGQ++_q* z|I<$!sZsY5eW=yTjZiL{k<*q)0GCc*aE*`N|LHlS(XFKK>*gv*h%;N379t;_-@o72 za_R8J`Vs#_Be;bz^GdHDl|s!GKC~wV8H+`%)0G5=@Qtph2M?Y3@3hn5RJJal5W#iT@J7)Ra9qQ4Nj!XPNIl1%YK0MqH)ZaeN=-X)gV)3=(YxwDxGn)?Y z*aqH9t=87taKR8QUTvZl)@+6*Mcklw#DZhekB z3beRvsi4Gf+(iL`$D{EtOj)bkwF;o4p^t2oQ>vJ#)N6u^7RP-b*(jQQy(w!v{Yoz0 zzEE4M5DQLy6QbaAO5M)9c-2D0kSB2BwEywA-;Yn_vnZDKR6pfst%c2V5XEvkrl(X` zx{Tq`pm%!8O1_3cFQUB}!dEL^n7Jnip4IfZ+>!?3X_iy;JKimLeIb6SfQr?57&?42 zbi249joQsDL3_3n1K|cn=fM)ii|4Jue0$>!essOGG=YbL0Qjg2s=3d zt`x^Umcl#RtHM*QsOsoEYddI)@1@d31&__Jh+KAySTX_Ce60-eOi|JDIv1? zeag*q3h`;&KEsN~g)V=S@?Wq|TZ^8{7xXGwl>2A=Fo zMoH%6m{pm`Bs+$4oNJ^N)ghZ=0rUA-Vv$dn7QS$M*u2EV_gS(Du}DSRBDJ<9-dwP& zm@K0x`eZfl9A7_zr&O^_@PIp9hMGL_fI1dE+$SihplXZfDxo^Sk-ZdCmHa z1;q8933D*ghpjaFnwR<2gWegxc51-58sj9ntt0YgGMi+rS~4oYJST+}?f0~5*E}St z@#(9kUGs?0+3t=$9#Zm){YYZ;wkF0LCDSEY9E z_)$5MT3cF<^lYqrmLIfKP(oL#ibmJIse`1z<#$!--3`ZMz`Z~MWoQim~-6)LA)6h|KO=$ za9i9YK)zD(jlPA$Q2YU1rOLL{bpic_GBd~3oxg10x>uG8{ovX8?MszetGpPvWxZvMf_ zZYUT3;5KI5z!&lcfZ{Fx;9P8iUp$kb#evTPWo7E7)b$*zPs?#6p>be8*f~F2nj|2N zNOpr`x4w{bqOJUu+PK(xj6QoWP@>z3tK}9#j26a+HD7$r2W>kYpV?mAnSDR`!SUz8 z&ks$OTQ35SJb&)+`V#jSIwn7U>+xbEkGgvNd80bW)985mSVz|=jzocf0@a^9c!GO> z;Mi{-`~w3)x=0s1&=z=teg7N2L^&qqL`3=LV(~CRQ|=DAa!qo zrYYfsl1XMH3M3tm!r)A?F!(P8gg4Pt0ZRQg|C?4%q?5C4LE5USDlk041qeN{vj5G$ zC%fOzt9$~S=#xW0Y6wpx9B~p9WI$qC&~Gx8l7;@SWO|a*Uu635o|l>F=9W96;$qyK zXvt4~CZj}=&0?#nRL<^eP^44%PsF0qS@$`b8&3nj9}15s#%W(dV3OU2gv)dG;QQwhpBJaD zEX2vOw8SPladIrv?KePLF2lnJ+7U{xF^d(P{svGo!K5j%CA_H%N)(T>)%46^DSVC`Y*=&F165S;;3iAtNgz?jh>YA~+gkfAk>fo98`;@SsgjHJ<(UJ~zVqZwi4{whppS2dO&x z516z}Z+(P$Zzszn5x}Yr(r8!T0<~A2{qxxGrjIL?Pq7~GqwNBn{2pu=iNT@;5{pfeBSd)ffvaHg_(i$el8+|TLBEO zH7URM#SEq2e|R_$`ZK_?Uhik;S^l7SxTYGUp2fI-J>$rRLJ~-(u0*-2#I-`n+DcX1 z%3M#zG)qaLEEq*~%LzOi%9cQ`2IOE1uE{x<5?bnXrHF=@!z>vF#hxRCz-J|8XvIQ$ zoT#SAO~g-U1q*!!^eUYRzukF;-6WC#RPE%hyls`hwMa>=%521)LMNcAqD8^3w3cI1 z#9bV*n(Mk^yCO(9-$=%&T9;$&&T_!+OM6M2zM##foEb%3D1-OIJeg+4AerZsw4bbZu(RPY91mswxq=A*u${uMI9 z)oYv&W5hHpa~=#{SgBfJ-jO+ArwPl2$AaU}1?h2LX0M{C;;iBtiI=_2`8pO>P+|4- z+8Fm*G-C&@+!+O~1^AuuWAUSwiw_99G*7_R$~fA|8$^k`GM}}89{@n8gv9ICJ6iBBSpUo@C8cY8yTuVh5CYqZxs3D_Uuj{SM&$1h3@Cy4VxIV&4 zTV74xkXxWdz*x(bA1V~W&+EavapfW3G+#3?xl6-^2`6u@H=}~SoXz{;$_wKhVJl%O z!Ov_KBBO!?VLM~*f+$N#vmGqvhk|Z`aI^4YLxgF=C~;I{)p}KiQB|UVde8)! zUyX4Os}^F9j((_9t&^n_*L{m!=t3^n5ar6J9moOffOsHhE^2OQ-m-f6E%dEOaoO9Y zBA=o!Z*@lBz10|6!8a9pmDb`tWm=EwXd=7ZQl*wZ#(n{SAX#TxNy*XU`lh1hL?t# zrj(|R@k_+jcD8o=h#wJUaj|jEvCwlwP6ddC#A)$=ZX=~SECtM#Jyc?n~ zG40_yc?w!3tqU#zb3r2eF7#3_HT6Y`4xTkQs}e&K!==YElAPX-Ld4q)i-w6Zh&El# zw&t|zu=S`~tvhh{z&u1xy9d09aAtKkbsvFmmz1W9j@Q24duR96?n6V#vgbem+711t z?mgUVBB@Gu`e_+uK{om*N0vzaz3)9p4XOk#wOdW z*Zn8Hb8r;sX6VNBJob6Ly}x~aIj&)~0cW>npN~FOr&iaDHu19eiuVgUq+|+U%F;}J z6JGelt$0~^z|CRIfv@az**MB=PiIdE^XmOT(<{Hh$a&U}rW^PVmIKn0b#J}82WBw0 zKL`a?2PGUskGaTg$ftsrf}be8X-y3YP|nMtR(`9@6xtW6-lo8d)pF|GOK93=TxMAI zx*a+gJh+kj?PYBHz1smi@$^g#W%NPkV64VxhF%0WI(3EKqb}oX=Ii0xQcG9Ue&qX@ z{W0sK2ag@!c)v+`qXjQ@wtVdnJrc$GiueY;@Oa_Dd?Cld)u{%oeB1S0nYjbL1$Cbo zv8!WNnJxSKEFA)w0-7vCcffZJ! zq()*J5?R$-6PC)+Z@~SS|>vOa`%DxU~ztlujN{qn2kcqYfN8AO?VCR zW{_aD*j12!gP5zmVWP!Q#-obez%|<#_GtAEX=pvF=zY{X!3mjq(jH+{Q?nXC)Y;XFv()!1b=@d-&-cYaKh5Ka=z#kHvWFL;8q#|~eFu#V+K-=9e`*h$3;YxkMH$c+-`6LaA&Mx) zmgEt?I=yV``QRNiGW{A=f+?&^yGRkqA9*q8!T!c>yKl@fk65z}ma;RirxI5`eOerW zH|zRtW!_Q1mx7*SKBERFx0n3~9)9|^uIMwfdsM;D&k^t7V!z(Fh<$=@4a`}fJ>yS+ ziP$1c?EJ9gEOT{8du|+rpA}v6IBvS{#VXOTRk0`I9B*+Cr8W-d7NFc}!2lFH`E(}gQL0vc!2Pb;Cq7dFd5CMsD zAxR!EI1Ymbf}C-P6GM_G3=Suaa{(Y1B|hm8#k>#9ad!x=`JIR6d*zxs#&M@+~+V`?E#o(KXG4g-LG*BW^8 zFa2{C?u|pZ0>pt}2tfR=3ka2xl8^$r0{_w=q&DW{0;2!Yz)(`3^`9C)`HuIbphJEFO? z7!<(fuC{iT5C(M*cUKR0G@Az4#md7H1pc=w$ScCjkDmLFE|-5(9Jl}gF38#HpA`cC zmo*H0IzFx-20mGHcXLM<8wNfNa~lwZK@d%##qfVKi2i>V{?YxT27{d4|4Ys%>*DN= zzJ)M|{fC`T3j}fT09&Hv3H`t1{Ui8acc_4zZQN}c_(g;Sg&Fwd?Ht|FTi}y-M0@8w z$kN3M^v`gJJKAYZxZYWZ*+X$WP02ai+ZN(bWMv2+Mj$tUhqBKY~z+q@nyH;a=*99yAtmxc)`3U{nHVyaPc^zHNfq2ZnKHn zX!VsKTx0Lix9h3uE3P3M`;aAhj5yVhy_|B*Rd1nzTxBZExZJmP@X|qSR8DsmiT}In zrem4ifLsExdY<~HUU1vD)pjqmym`0cT^)rzfg)GR2lRrOfw|uPWpgyBd)qhFyQxz$ zMVhN~LbiX!eI`FyOu98GlTW&l%7)ZS_X_|>!Y-LM0rkTXTXUY#@$k%Dqd2GNJ!mcZ zS2a4Y_|j!Tx;XeDJj%H0C%~)dJ-u<0AQ`d>^Yhf9BVQ9>&jFYi+hCpX6>dt01LpCr@ zQ&-%7{O9ARz&iej0^d?#bcBmc)3XK_dTwNs4h~SL0*)#1o(kf-8CFKc zv=m>)x#rdm?gqTv7t!I+nO0N#?e08`p3>?*xVcEsO_tRhxsyMa(-oFF(pLw5s0euE zO~aMFqqv^>!s`Sprb)WLKY)wJc-!bTjI><9Kf>F_)h{;wR^Mpr#AIJ%%bWem94L~{ zed@}a{&CAdlo=GuWz#Kn)k;^m7ByzB8=-}T_%AfS@#pc!<2todvk2ZxbWE*Q zS$=U#d$bqQPSZvbR7heVfAi+u{lJ9xAdY<5N>1h)Usy={nh&+$*KmjXb#Afi=(Sas zqju2s(Au~5fF~;9duZ?Ov^!jLq3`c<<|i}?HFR%j!@EPMl^eHQpcNr&eBmMOal{|i z_#zzcFIR}dK{Q17m*rRCASz%d5IcYTWOjUKs&U0-gk2dGhf;QWz!9e zokbl!$uy_z4{!gB!;IRz#=XZHO%H4T47QFPg8W1!qbCGBliG)AyDgbx*M2d=W7?Zm zw?mz%{ zvx*si!aH5&xyEV{huLm-?ihBsC!rEO!7OTXI_e}@vT$LmG?8Igx%?~xS%lx+wY6#<5h=WkZ^ zINW2IG2)ShBvvFLo(2f8bDU%NL6(eU+v1DhwvX@FeY1T7$B5ESFTi(4u zQ}@G}k1!!a3;xMVu1cJsLZ+vPB_gojX+Qb>k*|5z3ZRs^8;Gm>>trTTXv?*CW$KmV z%Q#a4{QgS$LTV!_NaGeCk@Xs1JP5~UM+x!gL(a+7=L+90pke)>2v*gCSdtu-s9DuK z9lUHMqP+|A&)`R1+a)U}_+hHa^S!}34xJ<)ZOa^vUw6)1S*N1%12z%=f)w(~utph` zgGwfgv7TrN9#7NfUI=UmPCwB%FOsBG5zH+(QD$%2o{wq&dE^w{PD)*qx;s`^?9#6AZtLyH#=yVFE(G1F+0da`+>FGtSS++6e+IX4aCO|qGnY4XT3|nsHZ+< zH$@_0admkvI!0^KXmO6Muep@fFy#L;;RN?-sEw%}4DvJkH54RncHZEOdZwKuvP||h zo8Vz-nDnIn-9{G4GI&($)L$M8bsmO$G`a zzvf}Nf^RBta|Zzdsn1cv&Vbf|v1d$N&M)YYp24Ia3fC5UDCq<$MY?c=42x{m?FJlM zH2VY=omUQCu^5K8b0n-)$y<4@Ov!OC2MVW(e}KmfVPRy*19m)-D(QMp4;-WrbR5&~ z5t_-q_pOF3aW+}a3cCWcQT|Ptf=Z_1R{6}Qp_V8UDbYbDk|j@mn@3DBQv^rWv205g zEW2)+-{{B-1LA=jq+Ggel33fP zFbJLM^eof+NN|Sg{$z8T zjQ^1~C9;_}#}#cB+CYQl))x`p{-wn6Y`R8qReTw;-Vz=$Q+3i5l3Ofhkezz6Q$_SGA*4rYQAlO?))ui+gWb4oQ|+NyV)Djrtjg|%@kE%c?Py% z(+`1ar_tod1l(-B6pEg>n*U`m|wI8|ejpqDX{&R0zT0&>7nwHzgAh|m?Vw1IB5#P*rF>kcFb4Y(4_g;7kNs# znof@=taY8POZFRqpK#jtBy97VWrmts%AKq5OaJ+5_Z}pS# z+IoeOIO<_{nW2BPIJ@ga_boM#FmOiSmkadjHOUwJO`K1JyG_75k{0A;Fd*{n-N!h| z1<>Tq=s-P?|M?iZWs5eitMbduPqkO(GSOh*-y4g6@=CiXOLOthZPG4kIT4XA`6_H3 zvEYYydumN>pn1E+Jkr*g^btC?2s*nb@frVCPCsOUL|MMwYPfB#y}u zHnGch@!~W3`hv8Z zJjD{kizeF+2$yz4&dj5=h3P?ymxphPuqSj|az zN07?c1xfAh0N6>xs$Uvx<&(?jcDA6?i@G(w>>?4EY3U*QOis_^kjLRJQiPx=FVv4Z ze9e0-DeYUqAQ!}OKPEu|Cr3NeA>`?6rF4Jz-oPmdW*c}ylp=b5Lzzy_8>8sLD_f*x5|9zvk4lx@5Wx| z^KS@AqA|L6zW)B^d?oZ4)jo88jJ`i_k=0%Vd>XrHK{Mz~9m3q53audDMnF75(T@0~Fo3*=i zYyj@Ej3}!MR!xK!TiiiRCt5B{&Xq=Rxwe!uye@1a^onLz&+P6LGfuLq;cIMv*&IA4 zo(Aa!MOla992ML@eI)FQBmTQqLg#%htk2GiJ$fsy*c*vh8837gm%Jf0lSE8AwD`;Z z887C>b#YGd*MrvVGzFC9JthuMyh%!*6~5c08TmQ{9U4dQ`^qS&(_Rg0mJs+Eo;%0A zWBGmP7MLQ|ogKW>11qME&F1sj3x}Tr@$_srk+!(ld#(eKu5-(uZs0H z(fmC*9o;I4AfdK_2z5EHHPK{$S%zzJ|MD`tcpOJpMNPL>64L+H268bBNM@$MO$)6R zUx4(37aDE0nx4U5jc%6on?R&l(Co5 z!6pr}UIPW;A6P(wVxi?SGo!piD3gO~PiI5K_FmjC!J%L%&<`R#g|prf)=$~CLJdBo zX>9CVPH@=n=;gVLGm*sRwX23~)X@L!bbBKAzPS>vf&b(v-L-o}3C=gdx4qwQ;EJhc zk_N1teb{`IXjRjG@F(8ouecTsmxQd%UHx~GCI9UrTk#Kh9~ z_w^B(tgjAa)~(LfvwIsk*L|O>8!!(^R9px~$fnBeX78MOH(nC@5ERwHss&Q0Ho-#Ib3DVUvHo9D_Fakxz z3T$JP4WGL0KF-HiD60@KLQ#VBuVBt*HILQC3qM6rR8L@K9YtxP(^i`r!LdspkP8FP zttf5gza-^~`UwHWFX{foz^#-8>WYF^M%V;(Udw)L^qqgySz#d7N>N-P>F(Hd@%!xq zu|P_r_@3^a%+9v`7WT5%})jjG8 z49=%wW$lDH!#^(y(OGV!QkKK5mGVzu#f>b_T4NhrHXV`rLR9KKU;!e<@wA7hQ1rc` zudD^~Vj}PlT%PjSCO_t?RGV0Tc~0f4avl64t5zXJQt#(eIEeWD`(ipznns#V6Oj0<%JV1b z>z&(4rO#UH;q~lylBZ2w)tIuHF$8kEVOwuC+iO0c83IN8FF|md1O4u8IT<{cTs zZ8DeUvN5?aEPCc-IUdz%cD$*+$jgng<@y~YK&d^M(ua?Xmxlaq$?ztfDX zT0h6wfSxuhYG;j3nZ^Ic+kND5i z(Eir2OD;MrH~poGG#RY^z&@KihB_ss=RpKbihtE5U0ffJM}wjde2E)ffO_@ zv^VilQM&zIL#yK{S79YF7hY{{$`S%WCu6fs?Qc_pLq1sWm$Y~qFgu@QA)x2mnb-L9 zq(+4}pV{f&FZ3k6UEnjNOoG2Kq5>#rt~cV|HcIy&4{y&7Lf16XY7KdN!}DTi))sOQ zT$iFSh``47+<}YO}hy_3qkZ9T?Be%5|Lx{`flD!-(rEVqy;e0J}o@g?mtp6UJ#LQ$q# zYuS6*qHy?fDv$ZJ0Qz1LK+CmTY+1;4v&&mJR?7-gX##G=N8cb|;bo>xwTl7=meQ&9@>M_MTr84f?r{cXgIYi^oSr)%_gBZl4> zK?&cndb6FVE{l`HkYMO;jfWd&gL=h+bkAdk$|ud-6)5@3loGGVl-1FBNd=o<%^L&c zMjb-c-9UvXT>mpfI;~dNtz2o%L9za-cK1zxh&<8wdO=}ScG}sC}%r?rNq~45g z*~#Xoy1=KD43hby@Z0Xb=Rz02@06@Ad839*>PuwZNJKyYU2Hb$_yKh&J7xC*WBHS< zot7^#A0ub|_c*E+PdU2Nox9o4sbQk4Ny#f3in0pvKmb(gkPZjBnp2NV>~R2e;t07Q zb!=@+kUgiFXS--Y=LTIWNFC(I<`czrVW>#`H5s{1{RJ8MRAFzG7Rvxk3t5*e4XsBu z`e6dH8``*j(zgsjqd=c~=#$jbFFo*~d-dDetpY)usP{_O??KwwP_g?o|6su*>!-!f z$J5>*nNP|5*Cn-)JzjZdcIg!Cy538a04ET#l=wsA1 zY#A3Timx(j4dZ+CD~`qBQ-5i0mNpuEN^U1_Rh&_)V&7Mk5@jJRAO-gsa3 zpP_Uy#1Ws4p>!$4)}ThwYDWPsh-1>)FJ}WeX}cE1-A($d3f)m^;0rEo$7H|$@BN|R zc_PaJ<-$;1@eaR2c}mOjEGqHtw17r2E^$K3Hlmh|`M*!nRug+lRHiGk?4QfA2~afZBpypW0Rw8l}H>7 zM)S?PV1;$@z6n&8;LV4yE@9_CJ z>owUFUo@~RZ|PB&WvwQC((LmtrddsI(X1ReuylS6{Syu!Pll5k1DaJ>7L#YqV#2ok zE0c`b_u1m1muP87|Acbm0h<3f_MXPUJw%N=xw9(Q zYP&NqLjK7KnKk0~_XPQeXag+8#k*~UNd(m;Yc|iVV-$+~<2EL~`^O1Tr2pw{$!AYt zXbFag`3on(UmjnpsLMlD=*(=$Uv$|-aP4*4M0xppTCtV5_5JGj1~+DT5HGYP!;kg9KVG zXHO{Ac=XT@J!<0TORq0Ahbo|99|Gd|MxIAnC>O{dFL5OpB}jR9+AIvx`g?wRoL)RQ zZ{75fEr1Lvt*7~twAWi<+^GtmH+pshUaFThd|4SW!AEQ{mHU8)|{!ndQG5aDLmoO8OjXJ9A^H~zSM(xFBwVFAL zY4Mjci)^r3iX=iXEpw4Ob)9x!K%6<<#N9rD85X7{Sc*P*%F9GvOBo9|11=4NqH%QjI$@v^Tp&{;7o3UL8o9=m6QNxre6{se5 zEt*HQY8ijvdED=bH{UYrTE8kivjFNO@9uVLRDv7IzzcAWfTX_pz-(eWOL^P`kv|l) zPotV!pES%-NQZd{0{UZzpUI_Ll+y^t2Weh*$GG;{@Ly_!gwdDCr69DE-f;drqS1NkZ$%#ErlyPp@ z{#KK2d$q=VI)s=JujYiqF4fgUn6Q`Nb`r8df5>l#^+*^D4`_MiL|hn#+w6hWK50B zZ|K@QB5#?$WuiZBd~uU%!Yj#7ByX(_41cvinEmpI{i-5wF;eg8Yw{;fpMFoG77a)} zvls2iL$;KL?2?x^m8b#O(xvKax~(6=WEbszog0!~$*T!Mw8jqy-1g%D$??aoy+J9h z7+E+ff_wv#H%W4AEBCbM3V_WeM>H!%Tud?Ds@)F-VI=)3M@6r?ppV9fSrSvanLHqs zx&z=8p!>n^!!xz5-BZV#XX;#z?b*YV1S_wk(u+03ZiSj@$apLYTwkf*d2WDDAF0R7 z++#?E<(t@?yMqhkPlRaGS)@BAiPtVh2Bmn=+c3O2y-VmGVUqf*u=NGK-XZ=e(Z`qj z=8^gua@B4|txG#CPyO6kSBX}Qjp*d!I>q->vG5n^VIL_~jk^6haV3uFQ6aF^IO6Hy z03lS%yr9_8daW=^&b2$_tQP%tGgL4d~ML7w{2KUt7Dj zBM+6If{so`EuPz)U!452sFe0c-hY_Ob|g(s(Hqo?*Bg&NnW7b+2cXsQ?FHs^>DfpI zJY0xL2Za{j54^a0obyflh{7hB()4ZfkOt1Gh=Bn@6d6q zv3Hr=$tHxA$Fts6l3K{Qxpb#f9-LgKX0~wuDyfY|}|@f?9s% zvLuOrx=F0Ex24QxQy5as`EWle`f$BqmV&N5^l13{F%8YHi14Po*wOuIZ@L2vg5Elx z|IE6(&nHYNIi#g9#yg=i`TBBAj$lvz;2V~QwwIjabAe^7g-@2Y8c%G;H-q3WF7ygl zt{C6Yy^`4;6Zv!{(rx=D*Y5eZ2wBdFPqO7d8wz{yux>vKRi?f>|E&F~z}x?0)Cl&a z`;nQ<>)xVHJ*01AXCLTCJMt+XheE4a)WK$#TaEzWb=W1w6~BJ{>1U2Q0^c%H)IX`N zIvI~ebdB?K6t7?L%JI?oQ1r6kX4s2yO?=A88BzH#S(}U_XBeaM6I5S_!OP+~RVkA5 zStI0?W~hE~8K;sE*TSc$NIb%C7I`l^#^vS08aJ(#@lCmxzy55vp-3FVbI0H(1PT>g z>D9TJkqH%q|LEX4dZm3plGE-|RK#{{G*56FUuxVCQ;3YV)Euhgjtx8PsOKqt zC0Djn%7D$~Yn+47a`E*}#O-7Lebx2lgX^~xbZR|0#Gj9TQ7z5M6T*h~LNm{sy_-_c zCW!@br0+aWW1bMkuJcEp?a43xi2i^f0xmy{Y88+J17QOLMSN^SHvd@RJppC}(OjzK z<9rRb0atWQ!hE0Fj_=g%L21aK=TBA=I~`1i1;noGztp}|Q@zcJCtPom{FPR(@O0Gm zuhs*&J5aexlKquzZkcoXYtC5ltmGC(1BuF)23C%Fe?mhemskqiYOG1LYqWAH8M(;K zwQ9gfZ`S>;oJ5~UuUK}i0;^tXl|k6}w+fT7RKtuW(zvgZ&2RPMQmi~K0G}+>m7Mqu zG4xGsYQmFs!%DEg>!iB%UlMEbER)-Q7G%`}^j zx@xH*J9Yy(WL*{42qc(8TldrZ019uc=8W7-Fkh) z^poU_&WZQ6U;3ygl^0yfYs`a(-gWDJgcYW}pB;}bD&soMs7$7yj?wnL`|yCDJvJMC zQf{JLJCo%!lYx!RsH%z)O2s>$@eI3SFr7$&IyTU`>4!l_4}KEiYgG&o1`X(Dxe;Wx z`9wv9knpCE`Jf72z_aWQjBDsJfxX^jg(Q&GHc) zfpJ5!aIAH{2lE^$2ac$Jg0c~~&cXqDe8x*M+N>fLi}NOrYtE>|J+G!tBiAU>9Jumb z2_bCEL_w{SqE*e2$;ejDefsUk$=!GUcy>*xq+8KYd8vg!W5X4kFBl_B!FKh{$zSiZ z3f!s%uWnC-5r(e$G$l)=gWou|X$&v&Pz}T+L=pI)sEC^4nwJY^>n!GeW%?>M8e-2D z2V4xPL>=0thJe*{M+3knsmjnW5;-(L<6Cud^f`&{ZsD8hi~Mci-33Y@_Kj~wRxY@k3<@;tvsohT13NY;sWH-YT}OcaY*!sxBKi2dw{w_ z_1Zj(YQhcKd$8vjo-|J~L&xGU6Wy((6Y=J};88-u z1ilV-DJ~L+1?uyco$a{*stG!C~uCcqQoo4)#TS|6X7Od;t@AG zpVn^b>tyAe6`T3{R^Ywa6}E$)7-HWNCfL>&8pe%P$}h69T;g3*zv9Thi34<#Up^4F zL|Mp$h(=cQIds8<_suwfwSE4v=!hZvq*qDC4HjzD_ny^FqBT@6t*O=15$xJh;?~g9 z&--k>lJo5Qd;{>s+p5poX07r$e!^Q#dW*+f%h91DW5AO&H?0q3d!ZfDa`TR#(lxqq z^bA=AN)?NOM$%lXV?s$%YVeBDm{{0Aj=<2tWfGrOZAT>rABiM@ z%3Wm1Jor~-<=WF^W(+cpsDwy&rfB>K5{a{EjY9S0&MrCG@NOJpqgGH7Ez2eXZP`j>4ksmn{|CgFO3@^MO*Ql5Sg6WG@w(1^E~}S zV(`FwNrhoCQgKzQPeQOGOokD_WtQ7B_#r`hhaUzv$-#0*j4aMR=ib*|K^4mZaN~wX znN>ljfR4Euh}i_PgT<*P_B8vWn+V*byW&W`ciOuFmB5k|S&ig{06 z4&S2z1R1g)7tABE!n(P~nav=!$_RdZ;vc7i&WuL2lA?lyO&@Nb2x$2g0m~>$iL1m( zG3Ft7(jSM#Wr@%wT8-}&Z^d;u)HMioGeuRzp4tR~e=6w!g4mM_8Hbu^elz~afb8tm z*>^D-am>|~84&6^>`NmwuqN<7X>@X9K8sK$-0Y}N6>DcSN>ad3sk4O=pq+lrJ4O@R?lCgHx2M>IZ#e(d;?rt*8wLXnulQ33{pea1 z`uA2fcP8f^^V5&gH)VCCmNsNZDu={ctWCFIycmO?Z-342+Ke*l6GU)272rnf*#mX0 zXlN;4q@OZB0?oufaqgdwkv;MKYMPo{158y!+W=%Kut(7{cgH<4ofR`;+^tyZ0il_q#rj{A+2%x5b~!m72eM3RJ?HHa~L z{p@hZH*j&eUJ2f!ApU&QqP(=e>4~)xVvD>KCgHi%hIxV!$FKRo&GHM zCB<2;=S7-Z$%!a04Gcw#7jbqZ3H>qD;oEDiS2zygVlgtNyu^`a2&f9Ddrj~2Kk>4> zExUYp&iF5M=oGx%HrD}*^kDrXBIJ*^)$eL460ciA4tkmWa;*CpUo+K~b9l>*Ru-Yd zvgE0+xkeJWki-IAdEE^B?dX{1I{nNGGlfP0GwSC7H{t2tJab%L6l+F5rnh1>I1;Q? zq4fK-J7nbz#t^M*c#DoR(;zk!t9M0)@<9V;-WZm$zx@htV6qek~O@H^rsxIzOiT;Yt zFNf(6Ldovf!-J~7SNiWcU6nTcDJJI69|5VJGvF79R8L1P90OQMf4J&`wZF6RPbermF0l}s_ zHis28hvsU-5n5ZMn{td07LU0Ei33H|6h&|^$g`@AN}nY45nClI&m-O?E|A90sNLn@ za@*{Dlg+m6a?Xp^(zc8(mBx(pqk^>QoM2KWvh!_Q>O#~?PPq@$Ig2@IuVm#!Gebyu zV?Rnz-(}UFk%@HE{>8t6nTa%Zap{>{(_UD{ur6Qk(MS$m9QmewPrsFNWw;6pN)C+# z5uklUXY#{>`DV*R&XR1CbFqxQaNwIllhLe+sv{Zq>;M)Yf~vJu{?|;FtMK?2eL4Ee zDBJKZP0D&cm*MHJ-1@Q$5Mig3a_8(S=QyXS596hg878`Cvi!rxLkW+G--o4Opx4Y+$T$M70i> zUVg#4yJ}CKZ?S31&}<*u(DeBGpuQKZ+P{)!UVeU~T-#D&L_bp_@qC)qI>M8F+6=N? zk-3RoH88Eiqp$r3@=Kzb=y?%VcR|`8xO70#IF>YA2f0mp7^3yDPR3YH%_7^aH{c($4#?q@-jO;+Q+Xe zXjFx~b^)I<;ij-@=6QCAuD%OQ)2!XjQO|YKU-+4@IFMkXA2ux?P+>B14hR&kbaph8 zkNUke?jaE;yj4bT-KSkyPpj{BTP}Qbsozk3sgJiA44eLX8D&>%GHr6A+GI39oXBC& z^F*zQqMyodu_whHrmK!5;_@8~bkC*}9hw$dgx=Vi1oZkRZ!>jIF9Ejqtgjx|WNvG* z0{=L&s+`)~J{mnTWoEmKIPTQ-PFy^y(rQ6)W>$0RBVGsPfPWo%y=1?43?j>^j8mCg z`y3;zkF@&=)`enoC?F%h-m{#m?Bu*_F|aNq3di7s`oT`}tW*^Wo%p0NTGS@GfB5U+ zn0<3s$YHu7U6q3<8Nr~sfue&_-bTQhf)Klniize|KC8lD1$3e88>URjq(q{yL-HP! z?Sj>z%kI-;*&+4FErf%8N>7I+LdvrtRPfmCOs25V7dOn zImhN{{@3X3WM2Kj$*4|2(bKSBkS4?Uw$t0D$bJsB?Jc{jLf6{2U{_wzT)io~+A%Kh z`IMjb%ZUAKNE6Pqms)KAWsE~Hfya!L8rjjdbyx)NHn>(X{YLP7}j| zC@cye6@}LhGYx`wT2YTgiJU@?wpn!=#GJ^fVup&vL4+gc_@-f*HaC{FtVxo1#XesN zTxTY^!PsJVK5>Yrqq1!)1fzgov`b1?A%ZzO;$_?bIAi?vV_{|Z`5@zVxiT|+ zPOW}f*&f`P9q-EU6px2N_+gWx9l5Dpe8v~}aMtam{-E-31q`}AUwJ^a2O&w%Ci&WK z*HRyDE)HFQlMiY!+splrUG8UNvFUuwY9dYL5k-qCCq+-Cs^DC*;6b{8WffjVz+M-iY*w<+K+5Zc z?9gnfI{WA%gs_Ubog;0t9T1)>bTcAb*$fZ+<6}_tQ#`(;h9bU%_lFOieru99pwhP* z$kfJBScU_f*Vo0>O{O~5<-6SPE~B{pYd#%)ck^>^lX#1=9&&ql{PQbG(uNaF+lOcS zl$>tLKZJA01o~6Jzqpz8hjLBmM9r=a5M`-&88T(Q)hMMtd@7i}`9cm}4lM!=h=_Ik zR2N`8?+#XOG9&-Czp26dmAdNo(rr5WuMwSIw&slXpyubO;tV6=^><#c!@Hpz%>|B7 zwdyAsZ!l#+_$}iTSeDGF^crQ@yEP!Ed%sDcx2wqd8OT*{oyCS_<+*`d8zUpzOEe(b z#h)ij)z(NxEOV~M%%bGeHh~R`8CdT|?_+NOSMK$iD+06<_%Qo6hc3Hpl*<B0|t%XKd=# zzQTs1y$OAKlhWxbcY9;*AsX6RKL!SV)a|KD?UMH^n`oRDa0lYqbUs;P2uF0zs}8>^ z45-1>X3Gj|NVLSVBF5k}q_0 za}Y1>W|A(6gLH?(h^qz*a%s3A9sVL2?{yF?Ugj%HnW`V-B5Jk|-Y!D?3H**nvQ~0h zzwteDU;&Pa4RZG%rXqvuNTZ4VmEIIYye2MvlH&v3+;<6b)VyFCb*)(X930g~aAMoC zuecZ#o7!c5Wg4vbk*dz2$-#mlr~olXf6@G-@Ol)P*Z=r^t! zg3>@-U+$fRS~M=c%ptyipN_#*AQH}o&qUFGJ%ujytXA~D6Bwx;4V<|Zn;N`k{rjD8 zinKCZf*2^9J@QO3=;!Efzc!UUM@#X>HD#A3%01WX$pSU?fLhA$#s%jrQg2vLky>on z17p}8-|=-trV_kWvtjr0D%l>Har6T=v%|aAWAdyX&$h*TF+fg@W!E|ry+;vu|PK~ za5)rFopT}No~)a1(GLRWwk~C6>|ve=q~%NTaZjXWIp}$F;|Ei7I~q~ zKO}%e;!G}nZ%p@ahkBA9)~<@at7DRJx8NtvgQ?Bq??*mKzk{u+pS5pQ^uKCHGP6eG zX4z5H+Orc%sDQ*pey@g64n4;@9(LMV>xI2eCCeYK)(jU-ss3Hlw^&l?UrjE-b+tHS zCfKhxPv(igK6mRjLgA3-1q=NifRA4`e^K2+-4`JBRrt_SkDySa(C=Ta75?pn{XDTx zwQLi3WT_W!8MFK!$bvPE9lPwbtB1*N1GensPFe{nban(j_HZ9aoGV^S@OnX36@?g% zGYv*m{9Pq$H&HdS^tj7Fh*_q8eXJVABjiWl{h2+?x(NGBnFc!|vFRVc!B66kNIuQ0 z-|g)baiUT=!mcr=g#BSOI4q;?2hNcQmBBCX5-p+;fL`-W?~#JZ5}Ni7{y!8L{b1m; zAlelQ;%zrz3r4)4l(DGP=z4b{Dt2SN@DyvXBcp$nVGLiGqkihZks*jqG4IZGC;fB| zQC|1&!0>aRBkb432>&ogK3%QLHYse!!n2p_&~h z5u{V#qf0JOsn$LE!a(uL=M~L%n@82CB`Pbt-@hT<{pGPpw`J?1wNxeM?3faItHQ{b zO0C-ZrmGs(<cbD>(DqQw5y`dJi`dBdY+)P|%*_OWudCD5izv*U8 zVZK%kynZGqTxxXuowYY5L!)7l+FpbR^KwQCi;dOgUmE=rwE|jJqq$uU>pzgMk{UgW zq|C^S}8TK%&5;&RAVQ}zkqN|@UIpslI>TfOO-dy z`{(4Ni;n4X>*crgx+@|56a8I?@%}F0u4SY?x(G0uNZrh??O2MFED^2g>2{P^n(nos zsy*0}@0_7jbhvXn-5BF@L+d?EmY26H?OG_tw1+p%(m6q)5DeD)d~{+LFq4 zy~y~Y3n5P#eb%VhXK}sn7`U{3h>DY{OoDU8mv5i}zjplykuxMtJbmLbW%O;;c#dFg zn#IuiD9)1hbj9LO+u!D&-iw1^M?;fyHL*|XTV#G@FdR*~ER9P6wu|fTV3G`v{y)Ny zmZ9H&jxreWWQI9bDcADqd0O(e7J7Vl<6vzSIFhHuWS6G)%bK%Zr9SFG@)<)^6~yp8 z^$Dp48U2i_i*2Rz9NcsM#J~2T5&SmOX>8-#lJ02AWMuM|G-ykZPN!RU6f`a=ktAmx zC;?ymAPnChE8N0(N}wRT6vVnC{nW{@jQc@lO#2zG;gk6sS#?*WG1 zC$x7@A1yF|?kT_9JSNQ{?VrSI+4yBccpWdV;l1jX^Oh#knUe1QP6&s}BqTNz@?zm6 z@{c-6?#DgP@w}}U;a!j8CcoXp_l@bS?cNRI|A{*wZx0O51C80ya(*PdKI>K|%?p$i zxM-%&J0U&n2tQ(bGky?P^!1hl*Cr6b_3`3k`zBtuEj(+%=lt77!(mVF#K+}G>6<7T zf?d=!%1ZqtFfN$wz-|j3l8?PIfk6`{tFUcIE~wxq;=Ae-D5KEeT7Z16z<0SL=|?Sp z;>LaQ=xcyf)ulaR<>>*qX4B1;RrX z5V}3O9`>uY?-dazs>#>d&vKp|J%80Fz%zyCa2yLV{z5UcOuavHKsj%& zj8E!yZ`|ji9N1R7BH(F!1KDo_E!A&qOP>EAA)vDCoJN`w#^TtQ_1@A@X?K&DdWj2J zdsh{;{gP$U8F8#S7<-vr?8PA%Q%Y|rbbr+RfV>qIvhkmN;BlnK^A*z&6;bE?^l|-* zb5wEA6(-TSpT96|+s%sU@5KsCX0>Ys5JeLIQn!nmigF7qmKsr*a0+zLYP!9pAZC_r z-Zvv^2wK^qSnEe(lIDM+ib@?RS;-4oRqfcQJkC{~&)LmYW{acSWAqk$vA@=8N%5Co z+qp54ceAo6nwK`)w;~#sE-Mhu+eKm`x+IsX00aMYM)MEn$Ff(sQc#jhux}&%bCfK7abYKFX|r($`5HY{DHW=fNY6}x#AcCBFZ;S z93~aNp6oxPpPLTDjZwU2gABE7VJq`@P$D7#FUhO=kFjM8f|)|Xx+w@wDUYH>woXO> z+vJsZPeybk?oHt&cIA(Vp*w}!QzzLPxTh7K-A&7WzMF{Dh)4BW3%5j$e{k- zK3wy)KdeQxx4qKpq@yX%9-zNF+FWVBy>+;M>&^B$L+1Jn27TRJ_YfL%i?C0>ExbEU zNoVsHIe(hrbJ9DG??T{G$9#X8s)4()OA&N;Bx81ux_Y?U^Mn8CdBCS^X9Zy}X870ZK#Rc?-4nsZ1KrzzpMg&mWMyam&c&O- z_%(V>SXAWSW%~bUkMOU(!T+{1KzCuV)CRdT81td~K%g~%{!b-m9uMW(#&Hp%vP*M_ zA)11m8Rj%*rdhHMvS)ikiLz!Zjw2ykliyiP14u)~K5Zj;y zsA&M*+@8)sLI5^^cmNzvBvb7v80@wJrP-MqgSEcf|3ouzB+l7x&=V#m#uysT8;sz% zJifyoICtOQuMr2XK;j$%Md2}|40Q9le55V3rCnM(nIa-g7WQ;K)NA(P<+CMlH)@zFbM zE9Z8CP$TCl64L1>yvsoo_X8LEZcNCnhn~xAV!iZPWR5m)UEYf1eRR@UAbd~0v&8G^ z_PC@3A20qLdzQF(h+LDDsw(4s8)n>@+#$~riJ9UXQcVp)VBnuv!^aa_xW46HsdrI; zah=XcoL=4-a|cOv>lmQ3lxl6dGwx|x_iI@8E4W0!oziH_s%{}`nK)tO3Oq_5)I;l^ z!Y#cWS9z0!6l+dQ@d8Or@7kz`H!EW!=_g_gJIHS;LTZ=xDD6#|b? zdlSetY0-UVX$b1v%M$MqZtw4PRTon%i32IS+s7oOi6^{fv8<;P+IuyGw37}_!JcJ; zTx4ETx$vwl7l}YW&|L++XF5n74L>!%X2?jG$JUM1^$Y2qQDF-pl-x$^8agy{FV~%7 zT+J9e){h{` zp5l|>lj${XUE*=PnZ_}O8@bmvgj>HBj@74MdcGk#knYS~B>$6Ps4N%cuqap{*!#%9 zB6D|#InU?5gu%>=>`hk0S0=jdNz%(nl-^(|L!O)!_KA%nPx5dZLE?6v_kvAENL=250!vAR*W~TL5>f7@a*L0VC#o5VpzNn##7=7J z@T*_!@!C1Q!%jmeC;ZToV6UM_RCJe!q+Ki>Y|XKD&Nee%lg$8wUpfbyC)bd5-b+XtC!4-JUB(C+|xPZu74`-NSouND@BEZrij;p z?u)$=SxgjeUs>w;h}$p=5f0sTJULe$BAzJlYm|lYVT@XS>VTP!Rh?CUk)qhAxKnME zo8fga&L{Ly`Zh93%}TZwctymai;D7o^7AU$3NIC!z-irP-ojLUmy@rINy@qM6DkjE z^A0;7-U(Tfa5^#qp&xd)4JeL7YdWktxc`z-;hZ0UI&bmuwwPzP#ijB#Th}6o0=mQd zn4xO8;~4Om6=@P!MNL@d{mooLwLNaicPsGL$0wE}&!3o$yt;jKggG)iQhVF~_QbFuA%hTg?(NSX26f6l(uMqzdt?@} zQjxLKg?1$;{?70>62o^X_>7=T(awsTBO=; zwMNxk7m#zin_tyzE!)?RoK1S^%j}FfEADIWJB(c^E6-GWdaq;cx%;yFM19%x1s0R! zL+Y%3f%PBG`C0DlgO=u}Un3(6BD?bYFhhe6VS|;UANdkG1hIbjY=2|DKxFv^-FK^_ zV=XQpLY{q=k}9^kZk5ne5ZJM@vGUV&QvGZ_)qT#Rh_t5`Rog_e^Y`#i4vyU95oQYK zn5T6{mE86zoi<|mc#e81R0vf(CHkyct{oz`yYUZQu_4y3l%-@YHh2kkN$t`iGCzy2e|0FlsK%9yTdXgV%3XehQs)OOT8=ZP!NB5pTVSdk%S~Q%6`RF141k3Q&@= zDz`dfIYE9$YTmfohrW7-`8>56cc(X>$a3m+dObS#V!ZYM1g*}3%Ds@i+eG8Xns+B( z)4TTJ{%H)_wl?98)mQ5Bhu72Md`a1Oe#W)^jUvgic+I2Nt zIi;+SvF!DzrDq}_Z1`mdv5Z_&drg)*RxwsK?8e6Yr&gob;Q!o7u4ejdc=++x6cmcj zy1zm`xjLjYpFAgf?5BY0+RmbqH^DuN>vF>ePBi!50>%U$UAifrd+J?o*0HOM+4t|? z4r80Ff)=wb8PLk1_sL7dfw7h85LWj4^$*7bUwzuD+}$sg?CI_Cq2Vp%Htk_(-W&c+ zIbFU3e0s4mu?l2=Ql9(KG^3A?0q}t{~%xst|6(X_0@fKYq;XZnOhH@ zeH&W9Ez+N@enEpO@SfN1+lJ95)#m)ZHD>sWAFW@kTs(3-BXs8T{?(5QC5bk*Kr$lH2;T)kD2jl`;{ebYha~0(*3^Rf z5l9Rg7>R(MXOQVQA`VX%glTF*y~zL@jYcDYp*~d11z^U-U>TfI7fYaG8Gd*oE&vRr z6Nuh`>O|L%h!k^k}m5I!K;{qWJL7y=PT z1&DoMs68PF2lN08Jwd{gfke0+-|Wa_I+#P!+wK>Qj-k@Gy9L*PX&)6-QZltM6Z|g% C^3y{A literal 0 HcmV?d00001 diff --git a/simulations/notebooks_simulations/.Rhistory b/simulations/notebooks_simulations/.Rhistory new file mode 100644 index 0000000..605fd2c --- /dev/null +++ b/simulations/notebooks_simulations/.Rhistory @@ -0,0 +1,512 @@ +0.4*M*d +M +D +d +p +sample(1:M*d, p*M*d) +1:M*d +M*d +X_tmp = rep(0, M*d) +prop_1 = seq(0, 1, 0.1) +for (p in prop_1){ +print(p) +index_ones = sample(seq(1, M*d, 1), p*M*d) +print(index_ones) +X_tmp[index_ones] = 1 +X_test = matrix(X_tmp, nrow=M) +print(X_test) +SI = getStability(X_test)$stability +print(SI) +} +prop_1 = seq(0, 1, 0.1) +for (p in prop_1){ +print(p) +index_ones = sample(seq(1, M*d, 1), p*M*d) +print(index_ones) +X_tmp = rep(0, M*d) +X_tmp[index_ones] = 1 +X_test = matrix(X_tmp, nrow=M) +print(X_test) +SI = getStability(X_test)$stability +print(SI) +} +d = 2 # number of features +M = 10 # number of bootstrap replicates +## case 1: when stability index undefined -- X all zeros or all ones (Nogueria2018 p.13) +X_all_missed = matrix(rep(0, M*d), nrow=M) # since K_bar = 0, thus SI undefined +getStability(X_all_missed)$stability +X_all_selected = matrix(rep(1, M*d), nrow=M) # since K_bar = d = 3, thus SI underfined +getStability(X_all_selected)$stability +rep(c(0,1), each=M*d/2) +matrix(rep(c(0,1), each=M*d/2), nrow=M) +Z_half_zero_one = matrix(rep(c(0,1), each=M*d/2), nrow=M) # one column (feature) all zero, the other all one +getStability(Z_half_zero_one)$stability +rep(c(1,2), 3) +d = 10 +i = 2 +sample(seq(1, d, 1), i) +d_ones = sample(seq(1, d, 1), i) +d_ones = sample(seq(1, d, 1), i) +Z_tmp = matrix(rep(0, M*d), nrow=M) +Z_tmp[, d_ones] = 1 +Z_tmp +d = 10 +for (i in 1:d){ +d_ones = sample(seq(1, d, 1), i) +Z_tmp = matrix(rep(0, M*d), nrow=M) +Z_tmp[, d_ones] = 1 +SI = getStability(Z_tmp)$stability +print(i) +print(paste('SI:', SI, sep='')) +} +d = 10 +for (i in 1: (d-1)){ +d_ones = sample(seq(1, d, 1), i) +Z_tmp = matrix(rep(0, M*d), nrow=M) +Z_tmp[, d_ones] = 1 +SI = getStability(Z_tmp)$stability +print(i) +print(paste('SI:', SI, sep='')) +} +d_alt = rep(c(0, 1), M/2) +d_alt +matrix(rep(d_alt, d), ncol=d) +Z_alt = matrix(rep(d_alt, d), ncol=d) +getStability(Z_alt)$stability +-1 / (M-1) +getStability(matrix(c(rep(0, M/2), rep(1, M/2)), ncol=d))$stability +matrix(c(rep(0, M/2), rep(1, M/2)), ncol=d) +c(rep(0, M/2), rep(1, M/2)) +d_alt_2 = c(rep(0, M/2), rep(1, M/2)) +Z_alt_2 = matrix(rep(d_alt_2, d), ncol=d) +getStability(Z_alt_2)$stability +M = 1000 +d_alt = rep(c(0, 1), M/2) +Z_alt = matrix(rep(d_alt, d), ncol=d) +getStability(Z_alt)$stability +M = 1000000 +d_alt = rep(c(0, 1), M/2) +Z_alt = matrix(rep(d_alt, d), ncol=d) +getStability(Z_alt)$stability +M = 10000 +d_alt = rep(c(0, 1), M/2) +Z_alt = matrix(rep(d_alt, d), ncol=d) +getStability(Z_alt)$stability +p = c(0.1, 0.2, 0.7) +si = -sum(p * log(p)) +si +p = c(0.1, 0.4, 0.5) +si = -sum(p * log(p)) +si +p = c(0.1, 0.4, 0.4, 0.1) +si = -sum(p * log(p)) +si +980/437 +437/980 +d_alt = rep(c(0, 1), M/2) +Z_alt = matrix(rep(d_alt, d), ncol=d) +M = 10 +d = 10 +d_alt = rep(c(0, 1), M/2) +Z_alt = matrix(rep(d_alt, d), ncol=d) +Z_alt +d_alt_2 = c(rep(0, M/2), rep(1, M/2)) +Z_alt_2 = matrix(rep(d_alt_2, d), ncol=d) +Z_alt_2 +M = 10000 +d_alt = rep(c(0, 1), M/2) +Z_alt = matrix(rep(d_alt, d), ncol=d) +getStability(Z_alt)$stability +sum(Z_alt_2)/M +M +sum(Z_alt_2)/10 +d +sum(Z_alt_2)/(10*10) +2728 + 396 * 3 +2628 + 396 * 3 +396*3 +396*6 +1188 + 62 + 5 + 25 +62 + 1 + 2376 + 173 + 1 + 2 +62 + 1 + 173 + 1 +237 + 1188 +1425*2.75/100 +getwd +dir = '~/Study' +paste0(dir, '/', 'sim_data.Rdata', sep='') +N = 100 +R_corr = 0.1 +paste0(dir, '/', paste(paste('sim_dat', 'N', N, 'R_corr', sim_param$R_corr, 'Complete', +sim_param$N_T_mean/sim_param$N_T_max, sep='_'), '.Rdata', sep=''), sep='') +paste0(dir, '/', paste(paste('sim_dat', 'N', N, 'R_corr', sim_param$R_corr, 'Complete', +100, sep='_'), '.Rdata', sep=''), sep='') +paste0(dir, '/', paste(paste('sim_dat', 'N', N, 'R_corr', 0.1, 'Complete', +100, sep='_'), '.Rdata', sep=''), sep='') +paste(paste('sim_dat', 'N', N, 'R_corr', sim_param$R_corr, 'Complete', +sim_param$N_T_mean/sim_param$N_T_max, sep='_'), '.Rdata', sep='') +paste(paste('sim_dat', 'N', N, 'R_corr', 0.1, 'Complete', +100, sep='_'), '.Rdata', sep='') +pwd +pwd() +getwd() +4800 + 1900 +4800 +3400 +40*5*5*4 +40*8*5*4 +6700-3500 +6700-3500 +3300 + 200 + 550 +6700-4050 +200 + 400 + 400 + 100 +setwd("~/Study/thesis/Bayesian/mfpca/sim_barnacle/sim_N100_C100_test") +library(parallel) +library(rstan) +options(mc.cores = parallel::detectCores()) +Nsamples = 1000 +Nchains = 3 +Ncores=Nchains +set.seed(31) +load("sim_dat_N_100_R_corr_0.1_Complete_1.Rdata", dat <- new.env()) +nsims=500 +R_true = dat$sim_param$R_corr +R_mean_list = R_q1_list = R_q9_list = R_q025_list = R_q975_list = list() +wid_80 = wid_95 = rep(0, nsims) # width of credible intervals +cov_80 = cov_95 = rep(0, nsims) # coverage of credible intervals +for (i in 1:nsims){ +print(paste('nsims', i)) +model_file = "../mfpca_zhou_fixed_R_simplest.stan" +smod = stan_model(model_file) +pca_data <- list(N = dat$sim_param$N, P = dat$sim_param$P, K = dat$sim_param$Q, Q = (dat$sim_param$nknots + 4), +theta_mu = dat$sim_param$params[[7]], sigma_eps = dat$sim_param$params[[5]], +Theta = dat$sim_param$params[[6]], D = diag(dat$sim_param$D_true), alpha = t(dat$ALPHA[[i]])) +fit_R_simplest = sampling(smod, data= pca_data, iter=Nsamples, chains=Nchains, cores=Ncores, init="random") +results_80 = summary(fit_R_simplest, pars = c("R[1,2]"), probs = c(0.1, 0.9))$summary +results_95 = summary(fit_R_simplest, pars = c("R[1,2]"), probs = c(0.025, 0.975))$summary +R_mean_list[[i]] = results_80 [, 'mean'] +R_q1_list[[i]] = results_80[, '10%'] +R_q9_list[[i]] = results_80[, '90%'] +R_q025_list[[i]] = results_95[, '2.5%'] +R_q975_list[[i]] = results_95[, '97.5%'] +# check coverage probability & width of credible intervals +wid_80[i] = R_q9_list[[i]] - R_q1_list[[i]] +wid_95[i] = R_q975_list[[i]] - R_q025_list[[i]] +if (R_true <= R_q9_list[[i]] & R_true >= R_q1_list[[i]]){ +cov_80[i] = 1 +} +if (R_true <= R_q975_list[[i]] & R_true >= R_q025_list[[i]]){ +cov_95[i] = 1 +} +} +dat$sim_param$N +34.37 + 37.73 + 16.69 + 34.35 +15.28+15.85+23.44+8.5+40.71+29.96+38.52 +172.26+123.14 +require(gamair) +install.packages('gamair') +require(gamair) +data(engine) +attach(engine) +plot(size, wear, xlab='engine capacity', ylab='wear index') +tf <- function(x, xj, j){df<- xj*0; dj[j] <-1; approx(xj, dj, x)$y} +tf.X <- function(x, xj){ +## tent function basis matrix given data x and knot sequence xj +nk <- length(xj); n <- length(x) +X <- matrix(NA, n, nk) +for (j in 1:nk) X[,j] <- tf(x, xj, j) +X +} +# use a rank k =6 basis, with knots evendly spread over the range of the size data +sj <- seq(min(size), max(size), length=6) +# use a rank k =6 basis, with knots evendly spread over the range of the size data +sj <- seq(min(size), max(size), length=6) ## generate knots +X <- tf.x (size, sj) ## get model matrix +X <- tf.X (size, sj) ## get model matrix +tf <- function(x, xj, j){ +## generate jth tent function from set defined by knots xj +dj<- xj*0; dj[j] <-1 +approx(xj, dj, x)$y +} +tf.X <- function(x, xj){ +## tent function basis matrix given data x and knot sequence xj +nk <- length(xj); n <- length(x) +X <- matrix(NA, n, nk) +for (j in 1:nk) X[,j] <- tf(x, xj, j) +X +} +# use a rank k =6 basis, with knots evendly spread over the range of the size data +sj <- seq(min(size), max(size), length=6) ## generate knots +X <- tf.X (size, sj) ## get model matrix +b <- lm(wear ~ X - 1) ## fit model +s <- seq(min(size), max(size), length=200) ## prediction data +Xp <- tf.x(s, sj) ## prediction matrix +Xp <- tf.X(s, sj) ## prediction matrix +plot(size, wear) ## plot data +lines(s, Xp %*% coef(b)) ## overlay estimated f +## lambda controls the model fit +sj <- seq(min(size), max(size), length=20) ## knots +b <- prs.fit(wear, size, sj, 2) ## penalized fit +plot(size, wear) ## plot data +prs.fit <- function(y, x, xj, sp){ +X <- tf.X(x, xj) ## model matrix +D <- diff(diag(length(xj)), differences=2) ## sqrt penalty +X <- rbind(X, sqrt(sp) * D) ## augmented model matrix +y <- c(y, rep(0, nrow(D))) ## augmented data +lm(y ~ X - 1) ## penalized least squares fit +} +## lambda controls the model fit +sj <- seq(min(size), max(size), length=20) ## knots +b <- prs.fit(wear, size, sj, 2) ## penalized fit +plot(size, wear) ## plot data +Xp <- tf.X(s, sj) ## prediction matrix +lines(s, Xp %*% coef(b)) ## plot the smooth +rho = seq(-9, 11, length=90) +n <- length(wear) +v <- rep(NA, 90) +for (i in 1:90){ ## loop through smoothing params +b <- prs.fit(wear, size, sj, exp(rho[i])) ## fit model +trF <- sum(influence(b)$hat[1:n]) ## extract EDF +rss <- sum((wear - fitted(b)[1:n]) ^2) ## residual SS +V[i] <- n*rss/(n-trF)^2 ## GCV score +} +rho = seq(-9, 11, length=90) +n <- length(wear) +V <- rep(NA, 90) +for (i in 1:90){ ## loop through smoothing params +b <- prs.fit(wear, size, sj, exp(rho[i])) ## fit model +trF <- sum(influence(b)$hat[1:n]) ## extract EDF +rss <- sum((wear - fitted(b)[1:n]) ^2) ## residual SS +V[i] <- n*rss/(n-trF)^2 ## GCV score +for (i in 1:90){ ## loop through smoothing params +b <- prs.fit(wear, size, sj, exp(rho[i])) ## fit model +trF <- sum(influence(b)$hat[1:n]) ## extract EDF +rss <- sum((wear - fitted(b)[1:n]) ^2) ## residual SS +V[i] <- n*rss/(n-trF)^2 ## GCV score +} +pplot(rho, V, type='l', xlab=expression(log(lambda)), main='GCV score') +sp <- exp(rho[V == min(V)]) ## extract optimal sp +b <- prs.fit(wear, size, sj, sp) ## re-fit +plot(size, wear, main='GCV optimal fit') +lines(s, Xp %*% coef(b)) +plot(rho, V, type='l', xlab=expression(log(lambda)), main='GCV score') +plot(rho, V, type='l', xlab=expression(log(lambda)), main='GCV score') +V +rho = seq(-9, 11, length=90) +n <- length(wear) +V <- rep(NA, 90) +for (i in 1:90){ ## loop through smoothing params +b <- prs.fit(wear, size, sj, exp(rho[i])) ## fit model +trF <- sum(influence(b)$hat[1:n]) ## extract EDF +rss <- sum((wear - fitted(b)[1:n]) ^2) ## residual SS +V[i] <- n*rss/(n-trF)^2 ## GCV score +} +V +plot(rho, V, type='l', xlab=expression(log(lambda)), main='GCV score') +sp <- exp(rho[V == min(V)]) ## extract optimal sp +b <- prs.fit(wear, size, sj, sp) ## re-fit +plot(size, wear, main='GCV optimal fit') +lines(s, Xp %*% coef(b)) +sp +X0 <- tf.X(size, sj) ## X in original parameterization +D <- rbind(0, 0, diff(diag(20), difference=2)) +diag(D) <- 1 ## augmented D +X <- t(backsolve(t(D), t(X0))) ## re-parametrized X +Z <- X[, -c(1,2)]; X<- X[, 1:2] ## mixed model matrices +## estimate smoothing and variance parameters +m <- optim(c(0,0), llm, method='BFGS', X=X, Z=Z, y=wear) ## Bayesian model +b <- attr(llm(m$par, X, Z, wear), 'b') ## extract coefficients +## plot results +plot(size, wear) +Xp1 <- t(backsolve(t(D), t(Xp))) ## re-parameterized pred.mat. +lines(s, Xp1 %*% as.numeric(b), col='grey', lwd=2) +library(nlme) +g <- factor(rep(1, nrow(X))) ## dummy factor +m <- lme(wear ~ X - 1, random=list(g=pdIdent(~ Z-1))) +lines(s, Xp1 %*% as.numeric(coef(m))) ## and to plot +tf.XD <- function(x, xk, cmx=NULL, m=2){ +## get X and D subject to constraint +nk <- length(xk) +X <- tf.X(x, xk)[, -nk] ## basis matrix +D <- diff(diag(nk), differences=m)[, -nk] ## root penalty +if (is.null(cmx)) cmx <- colMeans(X) +X <- sweep(X, 2, cmx) ## subtract cmx from columns +list (X=X, D=D, cmx=cmx) +} +am.fit <- function (y,x,v,sp,k=10) { +## setup basis and penalties... +xk <- seq(min(x), max(x), length=k) +xdx <- tf.XD(x, xk) +vk <- seq(min(v), max(v), length=k) +xdv <- tf.XD(v, vk) +## create augmented model matrix and response ... +nD <- nrow(xdx$D) * 2 +sp <- sqrt(sp) +X <- cbind(c(rep(1, nrow(xdx$X)), rep(0, nD)), +rbind(xdx$X, sp[1]*xdx$D, xdv$D*0), +rbind(xdv$X, xdx$D*0, sp[2]*xdv$D)) +y1 <- c(y, rep(0, nD)) +## fit model .. +b <- lm(y1 ~ X - 1) +## compute some useful quantities ... +n <- length(y) +trA <- sum(influence(b)$hat[1:n]) ## EDF +rsd <- y - fitted(b)[1:n] ## residuals +rss <- sum(rsd^2) ## residual SS +sig.hat <- rss/(n-trA) ## residual variance +gcv <- sig.hat*n/(n-trA) ## GCV score +Vb <- vcov(b)*sig.hat/summary(b)$sigma^2 ## coef cov matrix +## return fitted model ... +list(b=coef(b), Vb=Vb, edf=trA, gcv=gcv, fitted=fitted(b)[1:n], +rsd=rsd, xk=list(xk, vk), cmx=list(xdx$cmx, xdv$cmx)) +} +am.gcv <- function(lsp, y, x, v, k){ +## function suitable for GCV optimization by optim +am.fit(y, x, v, exp(lsp), k)$gcv +} +require(mgcv) +## mgcv package +library(mgcv) +data(trees) +ct1 <- gam(Volume ~ s(Height) + s(Girth), family = Gamma(link=log), data=trees) +ct1 +plot(ct1, residuals=TRUE) +## use penalized cubic regression splines +ct2 <- gam(Volume ~ s(Height, bs='cr') + s(Girth, bs='cr'), +family=Gamma(link=log), data=trees) +cts +ct2 +## change dimension of basis (i.e. max df; default is 10) +ct3 <- gam(Volume ~ s(Height, bs='cr') + s(Girth, bs='cr',k=20), +family=Gamma(link=log), data=trees) +ct3 +## adjust gamma param to avoid overfitting of GCV +ct4 <- gam(Volume ~ s(Height, bs='cr') + s(Girth, bs='cr'), +family=Gamma(link=log), data=trees, gamma=1.4) +ct4 +## same model, different code +ct5 <- gam(Volume ~ s(Height, Girth,k=25), +family=Gamma(link=log), data=trees) +ct5 +plot(ct5, too.far=0.15) +## user tensor product smooth ('te') +ct6 <- gam(Volume ~ te(Height, Girth,k=25), +family=Gamma(link=log), data=trees) +## user tensor product smooth ('te') +ct6 <- gam(Volume ~ te(Height, Girth,k=5), +family=Gamma(link=log), data=trees) +ct6 +plot(ct6, too.far=0.15) +## mix smooth and parametric model +gam(Volume ~ Height + s(Girth), family = Gamma(link=log), data=trees) +labels=c('small', 'medium', 'large') +## change Height to be categorical +trees$Hclass <- factor(floor(trees$Height/10) -5, +labels=c('small', 'medium', 'large')) +ct7 <- gam(Volume ~ Hclass + s(Girth), family=Gamma(link=log), data=trees) +par(mfrow=c(1,2)); plot(ct7,all.terms=TRUE) +anova(ct7) +AIC(ct7) +summary(ct7) +22.5*4*4 +FEAST - a scalable algorithm for quantifying the origins of complex microbial communities +----------------------- +300 * 0.85 +300 * 0.95 +114.32-107.7 +19.05 + 5.40 +9.91 + 21.32 - 22.04 + 20.94 +391.60/5 +library(vegan) +5000/12 +667.5+445 +667.5+445 +300*0.85 +350*0.85 +250*0.85 +325*0.85 +25*0.85 +100*0.85 +299.99*0.9 +299.99*0.95 +30*0.85 +25*0.85 +160*0.85 +25*0.85 +175*0.85 +295*0.85 +50.44+48.92 +41.88+42.61 +41.88+42.61+48.87+42.61+41.88+20.49 +1.24+123.11 +246.05+42.98+8.99+25.74+24.45+15.16+19.83+38.58+25.25+9.89+15.05 +179.92+25.67+114.32+45.21+126.98+109.01+74.85+21.48+6.62+179.92+25.67+7.63+19.99 +19.99+126.98+109.01+7.63+74.85+114.32+21.48+6.62+179.92+25.67 +8.28+44.24+8.28+55.91+2.96+41.38+54.60 +45.16+46.69 +686.47+215.65+91.85 +99.36+19.67+471.97+60 +410+113+1010+705 +25.67+179.92+114.32+21.48+74.85-107.7+15.69+109.01+25.74+45.21+126.98-20.46+19.99+22.27 +3262.33+123.11 +1200+400+3500 +5100+100 +5200+300 ++1000 +1200+400+3500+100 +5200+300 +3800-5500 +1700-500 +1200+400+1000+3500+100+300 +1000+200+400+800+3500+100+300 +15*0.85 +setwd("~/Study/thesis/machineLearning/stability/simulations_2020/code_method") +mf = read.csv('../microbiome_data/mapping_sleep_alpha.txt', sep='\t', row.names='X.SampleID') +dim(mf) # 599 * 79 +mf_sub = mf[, c('AMFVT', 'AMFVT_C1', 'AMAMPT', 'AMAMPT_C1', 'AMPHIT', +'AMPHIT_15SD', 'PQBADSLP', 'SLEEPHRS', 'PQPSQI', 'PQPEFFCY')] +vars_cts = c('AMFVT', 'AMAMPT', 'AMPHIT', 'PQPSQI', 'PQPEFFCY') +mf_sub[vars_cts] = lapply(mf_sub[vars_cts], as.numeric) +## use rarefied OTU table +library(biomformat) +taxa_biom = read_biom("../microbiome_data/mros_deblur_otus_unrare.biom") +taxa_biom = t(as.matrix(biom_data(taxa_biom))) +dim(taxa_biom) # 599 * 70125 +## log transform data +taxa_otus = taxa_biom + 0.5 # replace zero counts by the maximum rounding error 0.5 +taxa_otus = diag(1/rowSums(taxa_otus)) %*% taxa_otus # convert counts to relative abundance +rowSums(taxa_otus) # expect all 1 +taxa_otus = log(taxa_otus) # log transformed +rownames(taxa_otus) = rownames(taxa_biom) +sample_ids = intersect(rownames(taxa_otus), rownames(mf_sub)) +sample_ids = sort(sample_ids) # in alphabetical order +length(sample_ids) +taxa_otus = taxa_otus[sample_ids, ] +mf_sub = mf_sub[sample_ids, ] +dim(taxa_otus)[1] == dim(mf_sub)[1] +dim(taxa_otus) # 599 * 70125 +source('cv_method.R') +#### nothing was selected with compositional lasso ### +fit.compLasso <- cons_lasso_cv(datx=taxa_otus, y=mf_sub$AMFVT, seednum=31) +fit.compLasso$coef.chosen +fit.compLasso$coef.chosen +fit.compLasso +fit.compLasso$MSE +seq(10, 50, 10) +setwd("~/Study/thesis/machineLearning/stability/simulations_2020/notebooks") +source('../code_method/getStability.R') +source('../code_method/cv_method.R') +sim_file = '../sim_data/sim_toeplitz_corr0.3P_50_N_500.RData'; +load(sim_file, dat <- new.env()) +mtry.grid=seq(10, 50, 10) +pdf('../figures_sim/figure_mse_stab_rf_independent_P50_N500.pdf') +for (i in sample(1:100, 2)){ +print(i) +sub = dat$sim_array[[i]] +results = randomForest_double_cv(datx=sub$Z, y=sub$Y, mtry.grid=mtry.grid, fold.cv=5) +print('plot') +plot(results$mtry.grid, results$MSE.value, ylim=c(0,5), +col='green', xlab='lambda', ylab='MSE/STAB', +main=paste('rf_toe_P50_N500_random_', i, sep='')) +points(results$mtry.grid, results$STAB.value, col='red') +legend('topright', c('MSE', 'STAB'), col=c('green', 'red'), pch=c(1,1)) +} +dev.off() diff --git a/simulations/notebooks_simulations/bootstrap_testing.ipynb b/simulations/notebooks_simulations/bootstrap_testing.ipynb new file mode 100644 index 0000000..161884e --- /dev/null +++ b/simulations/notebooks_simulations/bootstrap_testing.ipynb @@ -0,0 +1,2212 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### use bootstrap to perform a testing in comparing compositional lasso vs. random forest in\n", + "#### N = 100, P = 1000, Corr 0.5 For Toeplitz & Block" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "load('../sim_data/boot_toe_RF.RData')\n", + "load('../sim_data/boot_block_RF.RData')\n", + "load('../sim_data/boot_toe_compLasso.RData')\n", + "load('../sim_data/boot_block_compLasso.RData')" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
    \n", + "\t
    $rou
    \n", + "\t\t
    0.5
    \n", + "\t
    $n
    \n", + "\t\t
    N: 100
    \n", + "\t
    $p
    \n", + "\t\t
    P: 1000
    \n", + "\t
    $num_boot
    \n", + "\t\t
    100
    \n", + "\t
    $method
    \n", + "\t\t
    'RF'
    \n", + "\t
    $stab_index
    \n", + "\t\t
      \n", + "\t
    1. 0.01
      2. \n", + "\t
    2. 0.01
      3. \n", + "\t
    3. 0.01
      4. \n", + "\t
    4. 0.01
      5. \n", + "\t
    5. 0.01
      6. \n", + "\t
    6. 0.01
      7. \n", + "\t
    7. 0.01
      8. \n", + "\t
    8. 0.01
      9. \n", + "\t
    9. 0.01
      10. \n", + "\t
    10. 0.01
      11. \n", + "\t
    11. 0.01
      12. \n", + "\t
    12. 0.01
      13. \n", + "\t
    13. 0.01
      14. \n", + "\t
    14. 0.01
      15. \n", + "\t
    15. 0.02
      16. \n", + "\t
    16. 0.01
      17. \n", + "\t
    17. 0.01
      18. \n", + "\t
    18. 0.01
      19. \n", + "\t
    19. 0.01
      20. \n", + "\t
    20. 0.01
      21. \n", + "\t
    21. 0.01
      22. \n", + "\t
    22. 0.01
      23. \n", + "\t
    23. 0.01
      24. \n", + "\t
    24. 0.01
      25. \n", + "\t
    25. 0.01
      26. \n", + "\t
    26. 0.01
      27. \n", + "\t
    27. 0.01
      28. \n", + "\t
    28. 0.01
      29. \n", + "\t
    29. 0.02
      30. \n", + "\t
    30. 0.01
      31. \n", + "\t
    31. 0.01
      32. \n", + "\t
    32. 0.01
      33. \n", + "\t
    33. 0.01
      34. \n", + "\t
    34. 0.01
      35. \n", + "\t
    35. 0.01
      36. \n", + "\t
    36. 0.01
      37. \n", + "\t
    37. 0.01
      38. \n", + "\t
    38. 0.01
      39. \n", + "\t
    39. 0.01
      40. \n", + "\t
    40. 0.02
      41. \n", + "\t
    41. 0.02
      42. \n", + "\t
    42. 0.02
      43. \n", + "\t
    43. 0.02
      44. \n", + "\t
    44. 0.01
      45. \n", + "\t
    45. 0.01
      46. \n", + "\t
    46. 0.01
      47. \n", + "\t
    47. 0.01
      48. \n", + "\t
    48. 0.01
      49. \n", + "\t
    49. 0.01
      50. \n", + "\t
    50. 0.01
      51. \n", + "\t
    51. 0.01
      52. \n", + "\t
    52. 0.01
      53. \n", + "\t
    53. 0.01
      54. \n", + "\t
    54. 0.01
      55. \n", + "\t
    55. 0.02
      56. \n", + "\t
    56. 0.01
      57. \n", + "\t
    57. 0.02
      58. \n", + "\t
    58. 0.01
      59. \n", + "\t
    59. 0.01
      60. \n", + "\t
    60. 0.01
      61. \n", + "\t
    61. 0.01
      62. \n", + "\t
    62. 0.01
      63. \n", + "\t
    63. 0.01
      64. \n", + "\t
    64. 0.02
      65. \n", + "\t
    65. 0.02
      66. \n", + "\t
    66. 0.02
      67. \n", + "\t
    67. 0.01
      68. \n", + "\t
    68. 0.02
      69. \n", + "\t
    69. 0.02
      70. \n", + "\t
    70. 0.01
      71. \n", + "\t
    71. 0.01
      72. \n", + "\t
    72. 0.02
      73. \n", + "\t
    73. 0.01
      74. \n", + "\t
    74. 0.01
      75. \n", + "\t
    75. 0.01
      76. \n", + "\t
    76. 0.01
      77. \n", + "\t
    77. 0.01
      78. \n", + "\t
    78. 0.01
      79. \n", + "\t
    79. 0.01
      80. \n", + "\t
    80. 0.01
      81. \n", + "\t
    81. 0.01
      82. \n", + "\t
    82. 0.01
      83. \n", + "\t
    83. 0.01
      84. \n", + "\t
    84. 0.01
      85. \n", + "\t
    85. 0.02
      86. \n", + "\t
    86. 0.02
      87. \n", + "\t
    87. 0.01
      88. \n", + "\t
    88. 0.01
      89. \n", + "\t
    89. 0.01
      90. \n", + "\t
    90. 0.01
      91. \n", + "\t
    91. 0.02
      92. \n", + "\t
    92. 0.01
      93. \n", + "\t
    93. 0.01
      94. \n", + "\t
    94. 0.01
      95. \n", + "\t
    95. 0.01
      96. \n", + "\t
    96. 0.01
      97. \n", + "\t
    97. 0.01
      98. \n", + "\t
    98. 0.01
      99. \n", + "\t
    99. 0.01
      100. \n", + "\t
    100. 0.01
      101. \n", + "
    \n", + "
    \n", + "
    \n" + ], + "text/latex": [ + "\\begin{description}\n", + "\\item[\\$rou] 0.5\n", + "\\item[\\$n] \\textbf{N:} 100\n", + "\\item[\\$p] \\textbf{P:} 1000\n", + "\\item[\\$num\\_boot] 100\n", + "\\item[\\$method] 'RF'\n", + "\\item[\\$stab\\_index] \\begin{enumerate*}\n", + "\\item 0.01\n", + "\\item 0.01\n", + "\\item 0.01\n", + "\\item 0.01\n", + "\\item 0.01\n", + "\\item 0.01\n", + "\\item 0.01\n", + "\\item 0.01\n", + "\\item 0.01\n", + "\\item 0.01\n", + "\\item 0.01\n", + "\\item 0.01\n", + "\\item 0.01\n", + "\\item 0.01\n", + "\\item 0.02\n", + "\\item 0.01\n", + "\\item 0.01\n", + "\\item 0.01\n", + "\\item 0.01\n", + "\\item 0.01\n", + "\\item 0.01\n", + "\\item 0.01\n", + "\\item 0.01\n", + "\\item 0.01\n", + "\\item 0.01\n", + "\\item 0.01\n", + "\\item 0.01\n", + "\\item 0.01\n", + "\\item 0.02\n", + "\\item 0.01\n", + "\\item 0.01\n", + "\\item 0.01\n", + "\\item 0.01\n", + "\\item 0.01\n", + "\\item 0.01\n", + "\\item 0.01\n", + "\\item 0.01\n", + "\\item 0.01\n", + "\\item 0.01\n", + "\\item 0.02\n", + "\\item 0.02\n", + "\\item 0.02\n", + "\\item 0.02\n", + "\\item 0.01\n", + "\\item 0.01\n", + "\\item 0.01\n", + "\\item 0.01\n", + "\\item 0.01\n", + "\\item 0.01\n", + "\\item 0.01\n", + "\\item 0.01\n", + "\\item 0.01\n", + "\\item 0.01\n", + "\\item 0.01\n", + "\\item 0.02\n", + "\\item 0.01\n", + "\\item 0.02\n", + "\\item 0.01\n", + "\\item 0.01\n", + "\\item 0.01\n", + "\\item 0.01\n", + "\\item 0.01\n", + "\\item 0.01\n", + "\\item 0.02\n", + "\\item 0.02\n", + "\\item 0.02\n", + "\\item 0.01\n", + "\\item 0.02\n", + "\\item 0.02\n", + "\\item 0.01\n", + "\\item 0.01\n", + "\\item 0.02\n", + "\\item 0.01\n", + "\\item 0.01\n", + "\\item 0.01\n", + "\\item 0.01\n", + "\\item 0.01\n", + "\\item 0.01\n", + "\\item 0.01\n", + "\\item 0.01\n", + "\\item 0.01\n", + "\\item 0.01\n", + "\\item 0.01\n", + "\\item 0.01\n", + "\\item 0.02\n", + "\\item 0.02\n", + "\\item 0.01\n", + "\\item 0.01\n", + "\\item 0.01\n", + "\\item 0.01\n", + "\\item 0.02\n", + "\\item 0.01\n", + "\\item 0.01\n", + "\\item 0.01\n", + "\\item 0.01\n", + "\\item 0.01\n", + "\\item 0.01\n", + "\\item 0.01\n", + "\\item 0.01\n", + "\\item 0.01\n", + "\\end{enumerate*}\n", + "\n", + "\\end{description}\n" + ], + "text/markdown": [ + "$rou\n", + ": 0.5\n", + "$n\n", + ": **N:** 100\n", + "$p\n", + ": **P:** 1000\n", + "$num_boot\n", + ": 100\n", + "$method\n", + ": 'RF'\n", + "$stab_index\n", + ": 1. 0.01\n", + "2. 0.01\n", + "3. 0.01\n", + "4. 0.01\n", + "5. 0.01\n", + "6. 0.01\n", + "7. 0.01\n", + "8. 0.01\n", + "9. 0.01\n", + "10. 0.01\n", + "11. 0.01\n", + "12. 0.01\n", + "13. 0.01\n", + "14. 0.01\n", + "15. 0.02\n", + "16. 0.01\n", + "17. 0.01\n", + "18. 0.01\n", + "19. 0.01\n", + "20. 0.01\n", + "21. 0.01\n", + "22. 0.01\n", + "23. 0.01\n", + "24. 0.01\n", + "25. 0.01\n", + "26. 0.01\n", + "27. 0.01\n", + "28. 0.01\n", + "29. 0.02\n", + "30. 0.01\n", + "31. 0.01\n", + "32. 0.01\n", + "33. 0.01\n", + "34. 0.01\n", + "35. 0.01\n", + "36. 0.01\n", + "37. 0.01\n", + "38. 0.01\n", + "39. 0.01\n", + "40. 0.02\n", + "41. 0.02\n", + "42. 0.02\n", + "43. 0.02\n", + "44. 0.01\n", + "45. 0.01\n", + "46. 0.01\n", + "47. 0.01\n", + "48. 0.01\n", + "49. 0.01\n", + "50. 0.01\n", + "51. 0.01\n", + "52. 0.01\n", + "53. 0.01\n", + "54. 0.01\n", + "55. 0.02\n", + "56. 0.01\n", + "57. 0.02\n", + "58. 0.01\n", + "59. 0.01\n", + "60. 0.01\n", + "61. 0.01\n", + "62. 0.01\n", + "63. 0.01\n", + "64. 0.02\n", + "65. 0.02\n", + "66. 0.02\n", + "67. 0.01\n", + "68. 0.02\n", + "69. 0.02\n", + "70. 0.01\n", + "71. 0.01\n", + "72. 0.02\n", + "73. 0.01\n", + "74. 0.01\n", + "75. 0.01\n", + "76. 0.01\n", + "77. 0.01\n", + "78. 0.01\n", + "79. 0.01\n", + "80. 0.01\n", + "81. 0.01\n", + "82. 0.01\n", + "83. 0.01\n", + "84. 0.01\n", + "85. 0.02\n", + "86. 0.02\n", + "87. 0.01\n", + "88. 0.01\n", + "89. 0.01\n", + "90. 0.01\n", + "91. 0.02\n", + "92. 0.01\n", + "93. 0.01\n", + "94. 0.01\n", + "95. 0.01\n", + "96. 0.01\n", + "97. 0.01\n", + "98. 0.01\n", + "99. 0.01\n", + "100. 0.01\n", + "\n", + "\n", + "\n", + "\n", + "\n" + ], + "text/plain": [ + "$rou\n", + "[1] 0.5\n", + "\n", + "$n\n", + " N \n", + "100 \n", + "\n", + "$p\n", + " P \n", + "1000 \n", + "\n", + "$num_boot\n", + "[1] 100\n", + "\n", + "$method\n", + "[1] \"RF\"\n", + "\n", + "$stab_index\n", + " [1] 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.02\n", + " [16] 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.02 0.01\n", + " [31] 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.02 0.02 0.02 0.02 0.01 0.01\n", + " [46] 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.02 0.01 0.02 0.01 0.01 0.01\n", + " [61] 0.01 0.01 0.01 0.02 0.02 0.02 0.01 0.02 0.02 0.01 0.01 0.02 0.01 0.01 0.01\n", + " [76] 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.02 0.02 0.01 0.01 0.01 0.01\n", + " [91] 0.02 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "toe_rf" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
    \n", + "\t
    $rou
    \n", + "\t\t
    0.5
    \n", + "\t
    $n
    \n", + "\t\t
    N: 100
    \n", + "\t
    $p
    \n", + "\t\t
    P: 1000
    \n", + "\t
    $num_boot
    \n", + "\t\t
    100
    \n", + "\t
    $method
    \n", + "\t\t
    'RF'
    \n", + "\t
    $stab_index
    \n", + "\t\t
      \n", + "\t
    1. 0.01
      2. \n", + "\t
    2. 0.01
      3. \n", + "\t
    3. 0
      4. \n", + "\t
    4. 0.01
      5. \n", + "\t
    5. 0.01
      6. \n", + "\t
    6. 0
      7. \n", + "\t
    7. 0.01
      8. \n", + "\t
    8. 0.01
      9. \n", + "\t
    9. 0.01
      10. \n", + "\t
    10. 0.01
      11. \n", + "\t
    11. 0.01
      12. \n", + "\t
    12. 0.01
      13. \n", + "\t
    13. 0.01
      14. \n", + "\t
    14. 0.01
      15. \n", + "\t
    15. 0.01
      16. \n", + "\t
    16. 0.01
      17. \n", + "\t
    17. 0.01
      18. \n", + "\t
    18. 0.01
      19. \n", + "\t
    19. 0.01
      20. \n", + "\t
    20. 0.01
      21. \n", + "\t
    21. 0
      22. \n", + "\t
    22. 0.01
      23. \n", + "\t
    23. 0.01
      24. \n", + "\t
    24. 0.01
      25. \n", + "\t
    25. 0.01
      26. \n", + "\t
    26. 0.01
      27. \n", + "\t
    27. 0.01
      28. \n", + "\t
    28. 0
      29. \n", + "\t
    29. 0.01
      30. \n", + "\t
    30. 0
      31. \n", + "\t
    31. 0.01
      32. \n", + "\t
    32. 0.01
      33. \n", + "\t
    33. 0.01
      34. \n", + "\t
    34. 0.01
      35. \n", + "\t
    35. 0.01
      36. \n", + "\t
    36. 0.01
      37. \n", + "\t
    37. 0.01
      38. \n", + "\t
    38. 0.01
      39. \n", + "\t
    39. 0.01
      40. \n", + "\t
    40. 0.01
      41. \n", + "\t
    41. 0.01
      42. \n", + "\t
    42. 0.01
      43. \n", + "\t
    43. 0.01
      44. \n", + "\t
    44. 0.01
      45. \n", + "\t
    45. 0.01
      46. \n", + "\t
    46. 0.01
      47. \n", + "\t
    47. 0.01
      48. \n", + "\t
    48. 0.01
      49. \n", + "\t
    49. 0.01
      50. \n", + "\t
    50. 0.01
      51. \n", + "\t
    51. 0.01
      52. \n", + "\t
    52. 0.01
      53. \n", + "\t
    53. 0.01
      54. \n", + "\t
    54. 0.01
      55. \n", + "\t
    55. 0.01
      56. \n", + "\t
    56. 0.01
      57. \n", + "\t
    57. 0.01
      58. \n", + "\t
    58. 0.01
      59. \n", + "\t
    59. 0.01
      60. \n", + "\t
    60. 0.01
      61. \n", + "\t
    61. 0.01
      62. \n", + "\t
    62. 0
      63. \n", + "\t
    63. 0.01
      64. \n", + "\t
    64. 0.01
      65. \n", + "\t
    65. 0.01
      66. \n", + "\t
    66. 0.01
      67. \n", + "\t
    67. 0.01
      68. \n", + "\t
    68. 0.01
      69. \n", + "\t
    69. 0.01
      70. \n", + "\t
    70. 0.01
      71. \n", + "\t
    71. 0.01
      72. \n", + "\t
    72. 0.01
      73. \n", + "\t
    73. 0
      74. \n", + "\t
    74. 0.01
      75. \n", + "\t
    75. 0
      76. \n", + "\t
    76. 0
      77. \n", + "\t
    77. 0.01
      78. \n", + "\t
    78. 0.01
      79. \n", + "\t
    79. 0.01
      80. \n", + "\t
    80. 0.01
      81. \n", + "\t
    81. 0.01
      82. \n", + "\t
    82. 0
      83. \n", + "\t
    83. 0.01
      84. \n", + "\t
    84. 0.01
      85. \n", + "\t
    85. 0.01
      86. \n", + "\t
    86. 0.01
      87. \n", + "\t
    87. 0.01
      88. \n", + "\t
    88. 0.01
      89. \n", + "\t
    89. 0.01
      90. \n", + "\t
    90. 0.01
      91. \n", + "\t
    91. 0.01
      92. \n", + "\t
    92. 0.01
      93. \n", + "\t
    93. 0.01
      94. \n", + "\t
    94. 0.01
      95. \n", + "\t
    95. 0.01
      96. \n", + "\t
    96. 0.01
      97. \n", + "\t
    97. 0.01
      98. \n", + "\t
    98. 0.01
      99. \n", + "\t
    99. 0.01
      100. \n", + "\t
    100. 0.01
      101. \n", + "
    \n", + "
    \n", + "
    \n" + ], + "text/latex": [ + "\\begin{description}\n", + "\\item[\\$rou] 0.5\n", + "\\item[\\$n] \\textbf{N:} 100\n", + "\\item[\\$p] \\textbf{P:} 1000\n", + "\\item[\\$num\\_boot] 100\n", + "\\item[\\$method] 'RF'\n", + "\\item[\\$stab\\_index] \\begin{enumerate*}\n", + "\\item 0.01\n", + "\\item 0.01\n", + "\\item 0\n", + "\\item 0.01\n", + "\\item 0.01\n", + "\\item 0\n", + "\\item 0.01\n", + "\\item 0.01\n", + "\\item 0.01\n", + "\\item 0.01\n", + "\\item 0.01\n", + "\\item 0.01\n", + "\\item 0.01\n", + "\\item 0.01\n", + "\\item 0.01\n", + "\\item 0.01\n", + "\\item 0.01\n", + "\\item 0.01\n", + "\\item 0.01\n", + "\\item 0.01\n", + "\\item 0\n", + "\\item 0.01\n", + "\\item 0.01\n", + "\\item 0.01\n", + "\\item 0.01\n", + "\\item 0.01\n", + "\\item 0.01\n", + "\\item 0\n", + "\\item 0.01\n", + "\\item 0\n", + "\\item 0.01\n", + "\\item 0.01\n", + "\\item 0.01\n", + "\\item 0.01\n", + "\\item 0.01\n", + "\\item 0.01\n", + "\\item 0.01\n", + "\\item 0.01\n", + "\\item 0.01\n", + "\\item 0.01\n", + "\\item 0.01\n", + "\\item 0.01\n", + "\\item 0.01\n", + "\\item 0.01\n", + "\\item 0.01\n", + "\\item 0.01\n", + "\\item 0.01\n", + "\\item 0.01\n", + "\\item 0.01\n", + "\\item 0.01\n", + "\\item 0.01\n", + "\\item 0.01\n", + "\\item 0.01\n", + "\\item 0.01\n", + "\\item 0.01\n", + "\\item 0.01\n", + "\\item 0.01\n", + "\\item 0.01\n", + "\\item 0.01\n", + "\\item 0.01\n", + "\\item 0.01\n", + "\\item 0\n", + "\\item 0.01\n", + "\\item 0.01\n", + "\\item 0.01\n", + "\\item 0.01\n", + "\\item 0.01\n", + "\\item 0.01\n", + "\\item 0.01\n", + "\\item 0.01\n", + "\\item 0.01\n", + "\\item 0.01\n", + "\\item 0\n", + "\\item 0.01\n", + "\\item 0\n", + "\\item 0\n", + "\\item 0.01\n", + "\\item 0.01\n", + "\\item 0.01\n", + "\\item 0.01\n", + "\\item 0.01\n", + "\\item 0\n", + "\\item 0.01\n", + "\\item 0.01\n", + "\\item 0.01\n", + "\\item 0.01\n", + "\\item 0.01\n", + "\\item 0.01\n", + "\\item 0.01\n", + "\\item 0.01\n", + "\\item 0.01\n", + "\\item 0.01\n", + "\\item 0.01\n", + "\\item 0.01\n", + "\\item 0.01\n", + "\\item 0.01\n", + "\\item 0.01\n", + "\\item 0.01\n", + "\\item 0.01\n", + "\\item 0.01\n", + "\\end{enumerate*}\n", + "\n", + "\\end{description}\n" + ], + "text/markdown": [ + "$rou\n", + ": 0.5\n", + "$n\n", + ": **N:** 100\n", + "$p\n", + ": **P:** 1000\n", + "$num_boot\n", + ": 100\n", + "$method\n", + ": 'RF'\n", + "$stab_index\n", + ": 1. 0.01\n", + "2. 0.01\n", + "3. 0\n", + "4. 0.01\n", + "5. 0.01\n", + "6. 0\n", + "7. 0.01\n", + "8. 0.01\n", + "9. 0.01\n", + "10. 0.01\n", + "11. 0.01\n", + "12. 0.01\n", + "13. 0.01\n", + "14. 0.01\n", + "15. 0.01\n", + "16. 0.01\n", + "17. 0.01\n", + "18. 0.01\n", + "19. 0.01\n", + "20. 0.01\n", + "21. 0\n", + "22. 0.01\n", + "23. 0.01\n", + "24. 0.01\n", + "25. 0.01\n", + "26. 0.01\n", + "27. 0.01\n", + "28. 0\n", + "29. 0.01\n", + "30. 0\n", + "31. 0.01\n", + "32. 0.01\n", + "33. 0.01\n", + "34. 0.01\n", + "35. 0.01\n", + "36. 0.01\n", + "37. 0.01\n", + "38. 0.01\n", + "39. 0.01\n", + "40. 0.01\n", + "41. 0.01\n", + "42. 0.01\n", + "43. 0.01\n", + "44. 0.01\n", + "45. 0.01\n", + "46. 0.01\n", + "47. 0.01\n", + "48. 0.01\n", + "49. 0.01\n", + "50. 0.01\n", + "51. 0.01\n", + "52. 0.01\n", + "53. 0.01\n", + "54. 0.01\n", + "55. 0.01\n", + "56. 0.01\n", + "57. 0.01\n", + "58. 0.01\n", + "59. 0.01\n", + "60. 0.01\n", + "61. 0.01\n", + "62. 0\n", + "63. 0.01\n", + "64. 0.01\n", + "65. 0.01\n", + "66. 0.01\n", + "67. 0.01\n", + "68. 0.01\n", + "69. 0.01\n", + "70. 0.01\n", + "71. 0.01\n", + "72. 0.01\n", + "73. 0\n", + "74. 0.01\n", + "75. 0\n", + "76. 0\n", + "77. 0.01\n", + "78. 0.01\n", + "79. 0.01\n", + "80. 0.01\n", + "81. 0.01\n", + "82. 0\n", + "83. 0.01\n", + "84. 0.01\n", + "85. 0.01\n", + "86. 0.01\n", + "87. 0.01\n", + "88. 0.01\n", + "89. 0.01\n", + "90. 0.01\n", + "91. 0.01\n", + "92. 0.01\n", + "93. 0.01\n", + "94. 0.01\n", + "95. 0.01\n", + "96. 0.01\n", + "97. 0.01\n", + "98. 0.01\n", + "99. 0.01\n", + "100. 0.01\n", + "\n", + "\n", + "\n", + "\n", + "\n" + ], + "text/plain": [ + "$rou\n", + "[1] 0.5\n", + "\n", + "$n\n", + " N \n", + "100 \n", + "\n", + "$p\n", + " P \n", + "1000 \n", + "\n", + "$num_boot\n", + "[1] 100\n", + "\n", + "$method\n", + "[1] \"RF\"\n", + "\n", + "$stab_index\n", + " [1] 0.01 0.01 0.00 0.01 0.01 0.00 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01\n", + " [16] 0.01 0.01 0.01 0.01 0.01 0.00 0.01 0.01 0.01 0.01 0.01 0.01 0.00 0.01 0.00\n", + " [31] 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01\n", + " [46] 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01\n", + " [61] 0.01 0.00 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.00 0.01 0.00\n", + " [76] 0.00 0.01 0.01 0.01 0.01 0.01 0.00 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01\n", + " [91] 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "block_rf" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
    \n", + "\t
    $rou
    \n", + "\t\t
    0.5
    \n", + "\t
    $n
    \n", + "\t\t
    N: 100
    \n", + "\t
    $p
    \n", + "\t\t
    P: 1000
    \n", + "\t
    $num_boot
    \n", + "\t\t
    100
    \n", + "\t
    $method
    \n", + "\t\t
    'compLasso'
    \n", + "\t
    $stab_index
    \n", + "\t\t
      \n", + "\t
    1. 0.25
      2. \n", + "\t
    2. 0.23
      3. \n", + "\t
    3. 0.28
      4. \n", + "\t
    4. 0.25
      5. \n", + "\t
    5. 0.23
      6. \n", + "\t
    6. 0.23
      7. \n", + "\t
    7. 0.23
      8. \n", + "\t
    8. 0.23
      9. \n", + "\t
    9. 0.2
      10. \n", + "\t
    10. 0.22
      11. \n", + "\t
    11. 0.27
      12. \n", + "\t
    12. 0.29
      13. \n", + "\t
    13. 0.23
      14. \n", + "\t
    14. 0.28
      15. \n", + "\t
    15. 0.26
      16. \n", + "\t
    16. 0.24
      17. \n", + "\t
    17. 0.24
      18. \n", + "\t
    18. 0.24
      19. \n", + "\t
    19. 0.23
      20. \n", + "\t
    20. 0.22
      21. \n", + "\t
    21. 0.25
      22. \n", + "\t
    22. 0.24
      23. \n", + "\t
    23. 0.23
      24. \n", + "\t
    24. 0.25
      25. \n", + "\t
    25. 0.24
      26. \n", + "\t
    26. 0.22
      27. \n", + "\t
    27. 0.28
      28. \n", + "\t
    28. 0.22
      29. \n", + "\t
    29. 0.23
      30. \n", + "\t
    30. 0.2
      31. \n", + "\t
    31. 0.22
      32. \n", + "\t
    32. 0.26
      33. \n", + "\t
    33. 0.24
      34. \n", + "\t
    34. 0.22
      35. \n", + "\t
    35. 0.25
      36. \n", + "\t
    36. 0.22
      37. \n", + "\t
    37. 0.24
      38. \n", + "\t
    38. 0.23
      39. \n", + "\t
    39. 0.22
      40. \n", + "\t
    40. 0.22
      41. \n", + "\t
    41. 0.22
      42. \n", + "\t
    42. 0.24
      43. \n", + "\t
    43. 0.2
      44. \n", + "\t
    44. 0.22
      45. \n", + "\t
    45. 0.25
      46. \n", + "\t
    46. 0.23
      47. \n", + "\t
    47. 0.21
      48. \n", + "\t
    48. 0.22
      49. \n", + "\t
    49. 0.22
      50. \n", + "\t
    50. 0.23
      51. \n", + "\t
    51. 0.22
      52. \n", + "\t
    52. 0.23
      53. \n", + "\t
    53. 0.23
      54. \n", + "\t
    54. 0.22
      55. \n", + "\t
    55. 0.32
      56. \n", + "\t
    56. 0.23
      57. \n", + "\t
    57. 0.29
      58. \n", + "\t
    58. 0.22
      59. \n", + "\t
    59. 0.27
      60. \n", + "\t
    60. 0.23
      61. \n", + "\t
    61. 0.24
      62. \n", + "\t
    62. 0.23
      63. \n", + "\t
    63. 0.27
      64. \n", + "\t
    64. 0.21
      65. \n", + "\t
    65. 0.23
      66. \n", + "\t
    66. 0.25
      67. \n", + "\t
    67. 0.2
      68. \n", + "\t
    68. 0.21
      69. \n", + "\t
    69. 0.25
      70. \n", + "\t
    70. 0.21
      71. \n", + "\t
    71. 0.27
      72. \n", + "\t
    72. 0.28
      73. \n", + "\t
    73. 0.29
      74. \n", + "\t
    74. 0.24
      75. \n", + "\t
    75. 0.25
      76. \n", + "\t
    76. 0.22
      77. \n", + "\t
    77. 0.22
      78. \n", + "\t
    78. 0.2
      79. \n", + "\t
    79. 0.26
      80. \n", + "\t
    80. 0.23
      81. \n", + "\t
    81. 0.26
      82. \n", + "\t
    82. 0.23
      83. \n", + "\t
    83. 0.28
      84. \n", + "\t
    84. 0.2
      85. \n", + "\t
    85. 0.23
      86. \n", + "\t
    86. 0.23
      87. \n", + "\t
    87. 0.25
      88. \n", + "\t
    88. 0.23
      89. \n", + "\t
    89. 0.23
      90. \n", + "\t
    90. 0.21
      91. \n", + "\t
    91. 0.31
      92. \n", + "\t
    92. 0.23
      93. \n", + "\t
    93. 0.21
      94. \n", + "\t
    94. 0.22
      95. \n", + "\t
    95. 0.24
      96. \n", + "\t
    96. 0.23
      97. \n", + "\t
    97. 0.2
      98. \n", + "\t
    98. 0.21
      99. \n", + "\t
    99. 0.23
      100. \n", + "\t
    100. 0.22
      101. \n", + "
    \n", + "
    \n", + "
    \n" + ], + "text/latex": [ + "\\begin{description}\n", + "\\item[\\$rou] 0.5\n", + "\\item[\\$n] \\textbf{N:} 100\n", + "\\item[\\$p] \\textbf{P:} 1000\n", + "\\item[\\$num\\_boot] 100\n", + "\\item[\\$method] 'compLasso'\n", + "\\item[\\$stab\\_index] \\begin{enumerate*}\n", + "\\item 0.25\n", + "\\item 0.23\n", + "\\item 0.28\n", + "\\item 0.25\n", + "\\item 0.23\n", + "\\item 0.23\n", + "\\item 0.23\n", + "\\item 0.23\n", + "\\item 0.2\n", + "\\item 0.22\n", + "\\item 0.27\n", + "\\item 0.29\n", + "\\item 0.23\n", + "\\item 0.28\n", + "\\item 0.26\n", + "\\item 0.24\n", + "\\item 0.24\n", + "\\item 0.24\n", + "\\item 0.23\n", + "\\item 0.22\n", + "\\item 0.25\n", + "\\item 0.24\n", + "\\item 0.23\n", + "\\item 0.25\n", + "\\item 0.24\n", + "\\item 0.22\n", + "\\item 0.28\n", + "\\item 0.22\n", + "\\item 0.23\n", + "\\item 0.2\n", + "\\item 0.22\n", + "\\item 0.26\n", + "\\item 0.24\n", + "\\item 0.22\n", + "\\item 0.25\n", + "\\item 0.22\n", + "\\item 0.24\n", + "\\item 0.23\n", + "\\item 0.22\n", + "\\item 0.22\n", + "\\item 0.22\n", + "\\item 0.24\n", + "\\item 0.2\n", + "\\item 0.22\n", + "\\item 0.25\n", + "\\item 0.23\n", + "\\item 0.21\n", + "\\item 0.22\n", + "\\item 0.22\n", + "\\item 0.23\n", + "\\item 0.22\n", + "\\item 0.23\n", + "\\item 0.23\n", + "\\item 0.22\n", + "\\item 0.32\n", + "\\item 0.23\n", + "\\item 0.29\n", + "\\item 0.22\n", + "\\item 0.27\n", + "\\item 0.23\n", + "\\item 0.24\n", + "\\item 0.23\n", + "\\item 0.27\n", + "\\item 0.21\n", + "\\item 0.23\n", + "\\item 0.25\n", + "\\item 0.2\n", + "\\item 0.21\n", + "\\item 0.25\n", + "\\item 0.21\n", + "\\item 0.27\n", + "\\item 0.28\n", + "\\item 0.29\n", + "\\item 0.24\n", + "\\item 0.25\n", + "\\item 0.22\n", + "\\item 0.22\n", + "\\item 0.2\n", + "\\item 0.26\n", + "\\item 0.23\n", + "\\item 0.26\n", + "\\item 0.23\n", + "\\item 0.28\n", + "\\item 0.2\n", + "\\item 0.23\n", + "\\item 0.23\n", + "\\item 0.25\n", + "\\item 0.23\n", + "\\item 0.23\n", + "\\item 0.21\n", + "\\item 0.31\n", + "\\item 0.23\n", + "\\item 0.21\n", + "\\item 0.22\n", + "\\item 0.24\n", + "\\item 0.23\n", + "\\item 0.2\n", + "\\item 0.21\n", + "\\item 0.23\n", + "\\item 0.22\n", + "\\end{enumerate*}\n", + "\n", + "\\end{description}\n" + ], + "text/markdown": [ + "$rou\n", + ": 0.5\n", + "$n\n", + ": **N:** 100\n", + "$p\n", + ": **P:** 1000\n", + "$num_boot\n", + ": 100\n", + "$method\n", + ": 'compLasso'\n", + "$stab_index\n", + ": 1. 0.25\n", + "2. 0.23\n", + "3. 0.28\n", + "4. 0.25\n", + "5. 0.23\n", + "6. 0.23\n", + "7. 0.23\n", + "8. 0.23\n", + "9. 0.2\n", + "10. 0.22\n", + "11. 0.27\n", + "12. 0.29\n", + "13. 0.23\n", + "14. 0.28\n", + "15. 0.26\n", + "16. 0.24\n", + "17. 0.24\n", + "18. 0.24\n", + "19. 0.23\n", + "20. 0.22\n", + "21. 0.25\n", + "22. 0.24\n", + "23. 0.23\n", + "24. 0.25\n", + "25. 0.24\n", + "26. 0.22\n", + "27. 0.28\n", + "28. 0.22\n", + "29. 0.23\n", + "30. 0.2\n", + "31. 0.22\n", + "32. 0.26\n", + "33. 0.24\n", + "34. 0.22\n", + "35. 0.25\n", + "36. 0.22\n", + "37. 0.24\n", + "38. 0.23\n", + "39. 0.22\n", + "40. 0.22\n", + "41. 0.22\n", + "42. 0.24\n", + "43. 0.2\n", + "44. 0.22\n", + "45. 0.25\n", + "46. 0.23\n", + "47. 0.21\n", + "48. 0.22\n", + "49. 0.22\n", + "50. 0.23\n", + "51. 0.22\n", + "52. 0.23\n", + "53. 0.23\n", + "54. 0.22\n", + "55. 0.32\n", + "56. 0.23\n", + "57. 0.29\n", + "58. 0.22\n", + "59. 0.27\n", + "60. 0.23\n", + "61. 0.24\n", + "62. 0.23\n", + "63. 0.27\n", + "64. 0.21\n", + "65. 0.23\n", + "66. 0.25\n", + "67. 0.2\n", + "68. 0.21\n", + "69. 0.25\n", + "70. 0.21\n", + "71. 0.27\n", + "72. 0.28\n", + "73. 0.29\n", + "74. 0.24\n", + "75. 0.25\n", + "76. 0.22\n", + "77. 0.22\n", + "78. 0.2\n", + "79. 0.26\n", + "80. 0.23\n", + "81. 0.26\n", + "82. 0.23\n", + "83. 0.28\n", + "84. 0.2\n", + "85. 0.23\n", + "86. 0.23\n", + "87. 0.25\n", + "88. 0.23\n", + "89. 0.23\n", + "90. 0.21\n", + "91. 0.31\n", + "92. 0.23\n", + "93. 0.21\n", + "94. 0.22\n", + "95. 0.24\n", + "96. 0.23\n", + "97. 0.2\n", + "98. 0.21\n", + "99. 0.23\n", + "100. 0.22\n", + "\n", + "\n", + "\n", + "\n", + "\n" + ], + "text/plain": [ + "$rou\n", + "[1] 0.5\n", + "\n", + "$n\n", + " N \n", + "100 \n", + "\n", + "$p\n", + " P \n", + "1000 \n", + "\n", + "$num_boot\n", + "[1] 100\n", + "\n", + "$method\n", + "[1] \"compLasso\"\n", + "\n", + "$stab_index\n", + " [1] 0.25 0.23 0.28 0.25 0.23 0.23 0.23 0.23 0.20 0.22 0.27 0.29 0.23 0.28 0.26\n", + " [16] 0.24 0.24 0.24 0.23 0.22 0.25 0.24 0.23 0.25 0.24 0.22 0.28 0.22 0.23 0.20\n", + " [31] 0.22 0.26 0.24 0.22 0.25 0.22 0.24 0.23 0.22 0.22 0.22 0.24 0.20 0.22 0.25\n", + " [46] 0.23 0.21 0.22 0.22 0.23 0.22 0.23 0.23 0.22 0.32 0.23 0.29 0.22 0.27 0.23\n", + " [61] 0.24 0.23 0.27 0.21 0.23 0.25 0.20 0.21 0.25 0.21 0.27 0.28 0.29 0.24 0.25\n", + " [76] 0.22 0.22 0.20 0.26 0.23 0.26 0.23 0.28 0.20 0.23 0.23 0.25 0.23 0.23 0.21\n", + " [91] 0.31 0.23 0.21 0.22 0.24 0.23 0.20 0.21 0.23 0.22\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "toe_lin" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
    \n", + "\t
    $rou
    \n", + "\t\t
    0.5
    \n", + "\t
    $n
    \n", + "\t\t
    N: 100
    \n", + "\t
    $p
    \n", + "\t\t
    P: 1000
    \n", + "\t
    $num_boot
    \n", + "\t\t
    100
    \n", + "\t
    $method
    \n", + "\t\t
    'compLasso'
    \n", + "\t
    $stab_index
    \n", + "\t\t
      \n", + "\t
    1. 0.26
      2. \n", + "\t
    2. 0.23
      3. \n", + "\t
    3. 0.2
      4. \n", + "\t
    4. 0.26
      5. \n", + "\t
    5. 0.25
      6. \n", + "\t
    6. 0.26
      7. \n", + "\t
    7. 0.25
      8. \n", + "\t
    8. 0.24
      9. \n", + "\t
    9. 0.23
      10. \n", + "\t
    10. 0.23
      11. \n", + "\t
    11. 0.2
      12. \n", + "\t
    12. 0.24
      13. \n", + "\t
    13. 0.26
      14. \n", + "\t
    14. 0.23
      15. \n", + "\t
    15. 0.22
      16. \n", + "\t
    16. 0.24
      17. \n", + "\t
    17. 0.25
      18. \n", + "\t
    18. 0.24
      19. \n", + "\t
    19. 0.21
      20. \n", + "\t
    20. 0.3
      21. \n", + "\t
    21. 0.19
      22. \n", + "\t
    22. 0.24
      23. \n", + "\t
    23. 0.23
      24. \n", + "\t
    24. 0.26
      25. \n", + "\t
    25. 0.2
      26. \n", + "\t
    26. 0.26
      27. \n", + "\t
    27. 0.23
      28. \n", + "\t
    28. 0.29
      29. \n", + "\t
    29. 0.22
      30. \n", + "\t
    30. 0.16
      31. \n", + "\t
    31. 0.28
      32. \n", + "\t
    32. 0.22
      33. \n", + "\t
    33. 0.22
      34. \n", + "\t
    34. 0.23
      35. \n", + "\t
    35. 0.23
      36. \n", + "\t
    36. 0.28
      37. \n", + "\t
    37. 0.23
      38. \n", + "\t
    38. 0.26
      39. \n", + "\t
    39. 0.22
      40. \n", + "\t
    40. 0.26
      41. \n", + "\t
    41. 0.29
      42. \n", + "\t
    42. 0.28
      43. \n", + "\t
    43. 0.22
      44. \n", + "\t
    44. 0.27
      45. \n", + "\t
    45. 0.25
      46. \n", + "\t
    46. 0.27
      47. \n", + "\t
    47. 0.25
      48. \n", + "\t
    48. 0.27
      49. \n", + "\t
    49. 0.26
      50. \n", + "\t
    50. 0.23
      51. \n", + "\t
    51. 0.26
      52. \n", + "\t
    52. 0.18
      53. \n", + "\t
    53. 0.27
      54. \n", + "\t
    54. 0.24
      55. \n", + "\t
    55. 0.27
      56. \n", + "\t
    56. 0.23
      57. \n", + "\t
    57. 0.19
      58. \n", + "\t
    58. 0.25
      59. \n", + "\t
    59. 0.24
      60. \n", + "\t
    60. 0.26
      61. \n", + "\t
    61. 0.2
      62. \n", + "\t
    62. 0.23
      63. \n", + "\t
    63. 0.24
      64. \n", + "\t
    64. 0.25
      65. \n", + "\t
    65. 0.29
      66. \n", + "\t
    66. 0.26
      67. \n", + "\t
    67. 0.25
      68. \n", + "\t
    68. 0.29
      69. \n", + "\t
    69. 0.22
      70. \n", + "\t
    70. 0.2
      71. \n", + "\t
    71. 0.21
      72. \n", + "\t
    72. 0.25
      73. \n", + "\t
    73. 0.21
      74. \n", + "\t
    74. 0.26
      75. \n", + "\t
    75. 0.18
      76. \n", + "\t
    76. 0.27
      77. \n", + "\t
    77. 0.18
      78. \n", + "\t
    78. 0.24
      79. \n", + "\t
    79. 0.2
      80. \n", + "\t
    80. 0.24
      81. \n", + "\t
    81. 0.23
      82. \n", + "\t
    82. 0.24
      83. \n", + "\t
    83. 0.22
      84. \n", + "\t
    84. 0.19
      85. \n", + "\t
    85. 0.24
      86. \n", + "\t
    86. 0.25
      87. \n", + "\t
    87. 0.19
      88. \n", + "\t
    88. 0.24
      89. \n", + "\t
    89. 0.2
      90. \n", + "\t
    90. 0.24
      91. \n", + "\t
    91. 0.23
      92. \n", + "\t
    92. 0.24
      93. \n", + "\t
    93. 0.25
      94. \n", + "\t
    94. 0.22
      95. \n", + "\t
    95. 0.27
      96. \n", + "\t
    96. 0.3
      97. \n", + "\t
    97. 0.21
      98. \n", + "\t
    98. 0.22
      99. \n", + "\t
    99. 0.2
      100. \n", + "\t
    100. 0.25
      101. \n", + "
    \n", + "
    \n", + "
    \n" + ], + "text/latex": [ + "\\begin{description}\n", + "\\item[\\$rou] 0.5\n", + "\\item[\\$n] \\textbf{N:} 100\n", + "\\item[\\$p] \\textbf{P:} 1000\n", + "\\item[\\$num\\_boot] 100\n", + "\\item[\\$method] 'compLasso'\n", + "\\item[\\$stab\\_index] \\begin{enumerate*}\n", + "\\item 0.26\n", + "\\item 0.23\n", + "\\item 0.2\n", + "\\item 0.26\n", + "\\item 0.25\n", + "\\item 0.26\n", + "\\item 0.25\n", + "\\item 0.24\n", + "\\item 0.23\n", + "\\item 0.23\n", + "\\item 0.2\n", + "\\item 0.24\n", + "\\item 0.26\n", + "\\item 0.23\n", + "\\item 0.22\n", + "\\item 0.24\n", + "\\item 0.25\n", + "\\item 0.24\n", + "\\item 0.21\n", + "\\item 0.3\n", + "\\item 0.19\n", + "\\item 0.24\n", + "\\item 0.23\n", + "\\item 0.26\n", + "\\item 0.2\n", + "\\item 0.26\n", + "\\item 0.23\n", + "\\item 0.29\n", + "\\item 0.22\n", + "\\item 0.16\n", + "\\item 0.28\n", + "\\item 0.22\n", + "\\item 0.22\n", + "\\item 0.23\n", + "\\item 0.23\n", + "\\item 0.28\n", + "\\item 0.23\n", + "\\item 0.26\n", + "\\item 0.22\n", + "\\item 0.26\n", + "\\item 0.29\n", + "\\item 0.28\n", + "\\item 0.22\n", + "\\item 0.27\n", + "\\item 0.25\n", + "\\item 0.27\n", + "\\item 0.25\n", + "\\item 0.27\n", + "\\item 0.26\n", + "\\item 0.23\n", + "\\item 0.26\n", + "\\item 0.18\n", + "\\item 0.27\n", + "\\item 0.24\n", + "\\item 0.27\n", + "\\item 0.23\n", + "\\item 0.19\n", + "\\item 0.25\n", + "\\item 0.24\n", + "\\item 0.26\n", + "\\item 0.2\n", + "\\item 0.23\n", + "\\item 0.24\n", + "\\item 0.25\n", + "\\item 0.29\n", + "\\item 0.26\n", + "\\item 0.25\n", + "\\item 0.29\n", + "\\item 0.22\n", + "\\item 0.2\n", + "\\item 0.21\n", + "\\item 0.25\n", + "\\item 0.21\n", + "\\item 0.26\n", + "\\item 0.18\n", + "\\item 0.27\n", + "\\item 0.18\n", + "\\item 0.24\n", + "\\item 0.2\n", + "\\item 0.24\n", + "\\item 0.23\n", + "\\item 0.24\n", + "\\item 0.22\n", + "\\item 0.19\n", + "\\item 0.24\n", + "\\item 0.25\n", + "\\item 0.19\n", + "\\item 0.24\n", + "\\item 0.2\n", + "\\item 0.24\n", + "\\item 0.23\n", + "\\item 0.24\n", + "\\item 0.25\n", + "\\item 0.22\n", + "\\item 0.27\n", + "\\item 0.3\n", + "\\item 0.21\n", + "\\item 0.22\n", + "\\item 0.2\n", + "\\item 0.25\n", + "\\end{enumerate*}\n", + "\n", + "\\end{description}\n" + ], + "text/markdown": [ + "$rou\n", + ": 0.5\n", + "$n\n", + ": **N:** 100\n", + "$p\n", + ": **P:** 1000\n", + "$num_boot\n", + ": 100\n", + "$method\n", + ": 'compLasso'\n", + "$stab_index\n", + ": 1. 0.26\n", + "2. 0.23\n", + "3. 0.2\n", + "4. 0.26\n", + "5. 0.25\n", + "6. 0.26\n", + "7. 0.25\n", + "8. 0.24\n", + "9. 0.23\n", + "10. 0.23\n", + "11. 0.2\n", + "12. 0.24\n", + "13. 0.26\n", + "14. 0.23\n", + "15. 0.22\n", + "16. 0.24\n", + "17. 0.25\n", + "18. 0.24\n", + "19. 0.21\n", + "20. 0.3\n", + "21. 0.19\n", + "22. 0.24\n", + "23. 0.23\n", + "24. 0.26\n", + "25. 0.2\n", + "26. 0.26\n", + "27. 0.23\n", + "28. 0.29\n", + "29. 0.22\n", + "30. 0.16\n", + "31. 0.28\n", + "32. 0.22\n", + "33. 0.22\n", + "34. 0.23\n", + "35. 0.23\n", + "36. 0.28\n", + "37. 0.23\n", + "38. 0.26\n", + "39. 0.22\n", + "40. 0.26\n", + "41. 0.29\n", + "42. 0.28\n", + "43. 0.22\n", + "44. 0.27\n", + "45. 0.25\n", + "46. 0.27\n", + "47. 0.25\n", + "48. 0.27\n", + "49. 0.26\n", + "50. 0.23\n", + "51. 0.26\n", + "52. 0.18\n", + "53. 0.27\n", + "54. 0.24\n", + "55. 0.27\n", + "56. 0.23\n", + "57. 0.19\n", + "58. 0.25\n", + "59. 0.24\n", + "60. 0.26\n", + "61. 0.2\n", + "62. 0.23\n", + "63. 0.24\n", + "64. 0.25\n", + "65. 0.29\n", + "66. 0.26\n", + "67. 0.25\n", + "68. 0.29\n", + "69. 0.22\n", + "70. 0.2\n", + "71. 0.21\n", + "72. 0.25\n", + "73. 0.21\n", + "74. 0.26\n", + "75. 0.18\n", + "76. 0.27\n", + "77. 0.18\n", + "78. 0.24\n", + "79. 0.2\n", + "80. 0.24\n", + "81. 0.23\n", + "82. 0.24\n", + "83. 0.22\n", + "84. 0.19\n", + "85. 0.24\n", + "86. 0.25\n", + "87. 0.19\n", + "88. 0.24\n", + "89. 0.2\n", + "90. 0.24\n", + "91. 0.23\n", + "92. 0.24\n", + "93. 0.25\n", + "94. 0.22\n", + "95. 0.27\n", + "96. 0.3\n", + "97. 0.21\n", + "98. 0.22\n", + "99. 0.2\n", + "100. 0.25\n", + "\n", + "\n", + "\n", + "\n", + "\n" + ], + "text/plain": [ + "$rou\n", + "[1] 0.5\n", + "\n", + "$n\n", + " N \n", + "100 \n", + "\n", + "$p\n", + " P \n", + "1000 \n", + "\n", + "$num_boot\n", + "[1] 100\n", + "\n", + "$method\n", + "[1] \"compLasso\"\n", + "\n", + "$stab_index\n", + " [1] 0.26 0.23 0.20 0.26 0.25 0.26 0.25 0.24 0.23 0.23 0.20 0.24 0.26 0.23 0.22\n", + " [16] 0.24 0.25 0.24 0.21 0.30 0.19 0.24 0.23 0.26 0.20 0.26 0.23 0.29 0.22 0.16\n", + " [31] 0.28 0.22 0.22 0.23 0.23 0.28 0.23 0.26 0.22 0.26 0.29 0.28 0.22 0.27 0.25\n", + " [46] 0.27 0.25 0.27 0.26 0.23 0.26 0.18 0.27 0.24 0.27 0.23 0.19 0.25 0.24 0.26\n", + " [61] 0.20 0.23 0.24 0.25 0.29 0.26 0.25 0.29 0.22 0.20 0.21 0.25 0.21 0.26 0.18\n", + " [76] 0.27 0.18 0.24 0.20 0.24 0.23 0.24 0.22 0.19 0.24 0.25 0.19 0.24 0.20 0.24\n", + " [91] 0.23 0.24 0.25 0.22 0.27 0.30 0.21 0.22 0.20 0.25\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "block_lin" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", + "\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\n", + "
    toe_rftoe_linblock_rfblock_lin
    0.010.250.010.26
    0.010.230.010.23
    0.010.280.000.20
    0.010.250.010.26
    0.010.230.010.25
    0.010.230.000.26
    \n" + ], + "text/latex": [ + "\\begin{tabular}{r|llll}\n", + " toe\\_rf & toe\\_lin & block\\_rf & block\\_lin\\\\\n", + "\\hline\n", + "\t 0.01 & 0.25 & 0.01 & 0.26\\\\\n", + "\t 0.01 & 0.23 & 0.01 & 0.23\\\\\n", + "\t 0.01 & 0.28 & 0.00 & 0.20\\\\\n", + "\t 0.01 & 0.25 & 0.01 & 0.26\\\\\n", + "\t 0.01 & 0.23 & 0.01 & 0.25\\\\\n", + "\t 0.01 & 0.23 & 0.00 & 0.26\\\\\n", + "\\end{tabular}\n" + ], + "text/markdown": [ + "\n", + "| toe_rf | toe_lin | block_rf | block_lin |\n", + "|---|---|---|---|\n", + "| 0.01 | 0.25 | 0.01 | 0.26 |\n", + "| 0.01 | 0.23 | 0.01 | 0.23 |\n", + "| 0.01 | 0.28 | 0.00 | 0.20 |\n", + "| 0.01 | 0.25 | 0.01 | 0.26 |\n", + "| 0.01 | 0.23 | 0.01 | 0.25 |\n", + "| 0.01 | 0.23 | 0.00 | 0.26 |\n", + "\n" + ], + "text/plain": [ + " toe_rf toe_lin block_rf block_lin\n", + "1 0.01 0.25 0.01 0.26 \n", + "2 0.01 0.23 0.01 0.23 \n", + "3 0.01 0.28 0.00 0.20 \n", + "4 0.01 0.25 0.01 0.26 \n", + "5 0.01 0.23 0.01 0.25 \n", + "6 0.01 0.23 0.00 0.26 " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "table = as.data.frame(cbind(toe_rf$stab_index, toe_lin$stab_index, block_rf$stab_index, block_lin$stab_index))\n", + "colnames(table) = c('toe_rf', 'toe_lin', 'block_rf', 'block_lin')\n", + "head(table)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Two sample test based on Bootstrap" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "## interpretation: if confidence interval doesn't contain zero, then significant\n", + "## ref: correct intrepretation of confidence intervals: https://journals.sagepub.com/doi/pdf/10.1177/201010581001900316" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "0.2247" + ], + "text/latex": [ + "0.2247" + ], + "text/markdown": [ + "0.2247" + ], + "text/plain": [ + "[1] 0.2247" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
    \n", + "\t
    2.5%
    \n", + "\t\t
    0.19
    \n", + "\t
    97.5%
    \n", + "\t\t
    0.28
    \n", + "
    \n" + ], + "text/latex": [ + "\\begin{description*}\n", + "\\item[2.5\\textbackslash{}\\%] 0.19\n", + "\\item[97.5\\textbackslash{}\\%] 0.28\n", + "\\end{description*}\n" + ], + "text/markdown": [ + "2.5%\n", + ": 0.1997.5%\n", + ": 0.28\n", + "\n" + ], + "text/plain": [ + " 2.5% 97.5% \n", + " 0.19 0.28 " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "diff_toe = (table$toe_lin - table$toe_rf)\n", + "mean(diff_toe)\n", + "quantile(diff_toe, probs = c(0.025, 0.975))" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "0.2289" + ], + "text/latex": [ + "0.2289" + ], + "text/markdown": [ + "0.2289" + ], + "text/plain": [ + "[1] 0.2289" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
    \n", + "\t
    2.5%
    \n", + "\t\t
    0.17475
    \n", + "\t
    97.5%
    \n", + "\t\t
    0.28525
    \n", + "
    \n" + ], + "text/latex": [ + "\\begin{description*}\n", + "\\item[2.5\\textbackslash{}\\%] 0.17475\n", + "\\item[97.5\\textbackslash{}\\%] 0.28525\n", + "\\end{description*}\n" + ], + "text/markdown": [ + "2.5%\n", + ": 0.1747597.5%\n", + ": 0.28525\n", + "\n" + ], + "text/plain": [ + " 2.5% 97.5% \n", + "0.17475 0.28525 " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "diff_block = (table$block_lin - table$block_rf)\n", + "mean(diff_block)\n", + "quantile(diff_block, probs = c(0.025, 0.975))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Compare based on MSE" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### block 0.5" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": {}, + "outputs": [], + "source": [ + "load('../sim_data/block_RF.RData')" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", + "\n", + "\t\n", + "\n", + "
    nprouMSEMSE.list
    46100 1000 0.5 0.47 ( 0.01 ) 0.4923079, 0.5236572, 0.3049313, 0.4022395, 0.4116445, 0.4457436, 0.5321101, 0.3994759, 0.3889622, 0.4957112, 0.2661450, 0.5383919, 0.4251333, 0.5020789, 0.5774619, 0.3274016, 0.5765174, 0.4136176, 0.5066335, 0.7475691, 0.7385966, 0.3141407, 0.4786586, 0.4811622, 0.4128133, 0.6605431, 0.5315163, 0.4400826, 0.8595558, 0.3382323, 0.4297301, 0.4961741, 0.5237057, 0.6787550, 0.4064282, 0.4305124, 0.3051361, 0.4404218, 0.4208728, 0.5967023, 0.5111793, 0.5062338, 0.2653858, 0.5910289, 0.3166639, 0.4614773, 0.4315483, 0.6846844, 0.4522860, 0.2785640, 0.6029796, 0.4161780, 0.5801175, 0.4112313, 0.5364697, 0.4318882, 0.3655746, 0.4455715, 0.3465285, 0.7532535, 0.3877135, 0.5023844, 0.2049257, 0.4338186, 0.3111033, 0.4220746, 0.5432892, 0.7013340, 0.5247176, 0.3747088, 0.3819685, 0.4208868, 0.2586503, 0.5655622, 0.5948446, 0.3660124, 0.4598678, 0.6435442, 0.3349638, 0.4052510, 0.6205234, 0.4349098, 0.6964996, 0.4033935, 0.4308613, 0.5466399, 0.3565571, 0.5507224, 0.3275157, 0.4857403, 0.3745229, 0.4944044, 0.4354932, 0.4055464, 0.4792593, 0.5230589, 0.2415968, 0.3994462, 0.6382857, 0.5929313
    \n" + ], + "text/latex": [ + "\\begin{tabular}{r|lllll}\n", + " & n & p & rou & MSE & MSE.list\\\\\n", + "\\hline\n", + "\t46 & 100 & 1000 & 0.5 & 0.47 ( 0.01 ) & 0.4923079, 0.5236572, 0.3049313, 0.4022395, 0.4116445, 0.4457436, 0.5321101, 0.3994759, 0.3889622, 0.4957112, 0.2661450, 0.5383919, 0.4251333, 0.5020789, 0.5774619, 0.3274016, 0.5765174, 0.4136176, 0.5066335, 0.7475691, 0.7385966, 0.3141407, 0.4786586, 0.4811622, 0.4128133, 0.6605431, 0.5315163, 0.4400826, 0.8595558, 0.3382323, 0.4297301, 0.4961741, 0.5237057, 0.6787550, 0.4064282, 0.4305124, 0.3051361, 0.4404218, 0.4208728, 0.5967023, 0.5111793, 0.5062338, 0.2653858, 0.5910289, 0.3166639, 0.4614773, 0.4315483, 0.6846844, 0.4522860, 0.2785640, 0.6029796, 0.4161780, 0.5801175, 0.4112313, 0.5364697, 0.4318882, 0.3655746, 0.4455715, 0.3465285, 0.7532535, 0.3877135, 0.5023844, 0.2049257, 0.4338186, 0.3111033, 0.4220746, 0.5432892, 0.7013340, 0.5247176, 0.3747088, 0.3819685, 0.4208868, 0.2586503, 0.5655622, 0.5948446, 0.3660124, 0.4598678, 0.6435442, 0.3349638, 0.4052510, 0.6205234, 0.4349098, 0.6964996, 0.4033935, 0.4308613, 0.5466399, 0.3565571, 0.5507224, 0.3275157, 0.4857403, 0.3745229, 0.4944044, 0.4354932, 0.4055464, 0.4792593, 0.5230589, 0.2415968, 0.3994462, 0.6382857, 0.5929313\\\\\n", + "\\end{tabular}\n" + ], + "text/markdown": [ + "\n", + "| | n | p | rou | MSE | MSE.list |\n", + "|---|---|---|---|---|---|\n", + "| 46 | 100 | 1000 | 0.5 | 0.47 ( 0.01 ) | 0.4923079, 0.5236572, 0.3049313, 0.4022395, 0.4116445, 0.4457436, 0.5321101, 0.3994759, 0.3889622, 0.4957112, 0.2661450, 0.5383919, 0.4251333, 0.5020789, 0.5774619, 0.3274016, 0.5765174, 0.4136176, 0.5066335, 0.7475691, 0.7385966, 0.3141407, 0.4786586, 0.4811622, 0.4128133, 0.6605431, 0.5315163, 0.4400826, 0.8595558, 0.3382323, 0.4297301, 0.4961741, 0.5237057, 0.6787550, 0.4064282, 0.4305124, 0.3051361, 0.4404218, 0.4208728, 0.5967023, 0.5111793, 0.5062338, 0.2653858, 0.5910289, 0.3166639, 0.4614773, 0.4315483, 0.6846844, 0.4522860, 0.2785640, 0.6029796, 0.4161780, 0.5801175, 0.4112313, 0.5364697, 0.4318882, 0.3655746, 0.4455715, 0.3465285, 0.7532535, 0.3877135, 0.5023844, 0.2049257, 0.4338186, 0.3111033, 0.4220746, 0.5432892, 0.7013340, 0.5247176, 0.3747088, 0.3819685, 0.4208868, 0.2586503, 0.5655622, 0.5948446, 0.3660124, 0.4598678, 0.6435442, 0.3349638, 0.4052510, 0.6205234, 0.4349098, 0.6964996, 0.4033935, 0.4308613, 0.5466399, 0.3565571, 0.5507224, 0.3275157, 0.4857403, 0.3745229, 0.4944044, 0.4354932, 0.4055464, 0.4792593, 0.5230589, 0.2415968, 0.3994462, 0.6382857, 0.5929313 |\n", + "\n" + ], + "text/plain": [ + " n p rou MSE \n", + "46 100 1000 0.5 0.47 ( 0.01 )\n", + " MSE.list \n", + "46 0.4923079, 0.5236572, 0.3049313, 0.4022395, 0.4116445, 0.4457436, 0.5321101, 0.3994759, 0.3889622, 0.4957112, 0.2661450, 0.5383919, 0.4251333, 0.5020789, 0.5774619, 0.3274016, 0.5765174, 0.4136176, 0.5066335, 0.7475691, 0.7385966, 0.3141407, 0.4786586, 0.4811622, 0.4128133, 0.6605431, 0.5315163, 0.4400826, 0.8595558, 0.3382323, 0.4297301, 0.4961741, 0.5237057, 0.6787550, 0.4064282, 0.4305124, 0.3051361, 0.4404218, 0.4208728, 0.5967023, 0.5111793, 0.5062338, 0.2653858, 0.5910289, 0.3166639, 0.4614773, 0.4315483, 0.6846844, 0.4522860, 0.2785640, 0.6029796, 0.4161780, 0.5801175, 0.4112313, 0.5364697, 0.4318882, 0.3655746, 0.4455715, 0.3465285, 0.7532535, 0.3877135, 0.5023844, 0.2049257, 0.4338186, 0.3111033, 0.4220746, 0.5432892, 0.7013340, 0.5247176, 0.3747088, 0.3819685, 0.4208868, 0.2586503, 0.5655622, 0.5948446, 0.3660124, 0.4598678, 0.6435442, 0.3349638, 0.4052510, 0.6205234, 0.4349098, 0.6964996, 0.4033935, 0.4308613, 0.5466399, 0.3565571, 0.5507224, 0.3275157, 0.4857403, 0.3745229, 0.4944044, 0.4354932, 0.4055464, 0.4792593, 0.5230589, 0.2415968, 0.3994462, 0.6382857, 0.5929313" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "table_block_rf = NULL\n", + "for (i in 1:length(results_block_rf)){\n", + " table_block_rf = rbind(table_block_rf, results_block_rf[[i]][c('n', 'p', 'rou', 'MSE', 'MSE.list')])\n", + "}\n", + "table_block_rf = as.data.frame(table_block_rf)\n", + "rf_block5_rf= table_block_rf[table_block_rf$n == 100 & table_block_rf$p == 1000 & table_block_rf$rou == 0.5, ]\n", + "rf_block5_rf" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": {}, + "outputs": [], + "source": [ + "load('../sim_data/block_compLasso.RData')" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", + "\n", + "\t\n", + "\n", + "
    nprouMSEMSE.list
    46100 1000 0.5 0.91 ( 0.04 ) 1.1101125, 0.6519860, 0.7398478, 1.1498738, 0.9619897, 0.6013746, 1.3625092, 0.3473651, 1.1450087, 0.6678814, 0.2637982, 1.1272821, 0.5100440, 1.1207711, 0.6858812, 0.4732182, 0.4877071, 1.3858793, 0.9285002, 0.8910513, 0.4041991, 0.3094465, 0.7791739, 0.9177788, 1.3679422, 0.3555295, 0.6004392, 0.9110635, 0.6472957, 0.9988893, 2.1903274, 2.5255804, 0.9870283, 1.2731291, 0.6370381, 0.9076340, 0.8604679, 0.7195767, 0.8129923, 0.8024248, 0.9105749, 1.5656134, 0.4518466, 0.5868373, 0.7896528, 1.1223770, 0.2244172, 0.4527471, 1.0980113, 0.8810156, 0.9874237, 1.6133751, 1.7549198, 0.8114664, 0.6056103, 1.2937025, 0.5187529, 0.4362994, 1.0523983, 0.4049739, 0.6115282, 0.7411138, 1.0011934, 0.3509803, 0.5946993, 0.8179413, 0.8536523, 0.5527882, 0.9707325, 1.2802410, 0.9099143, 0.8149918, 1.0858406, 0.8915861, 1.1319847, 0.9534063, 1.8160839, 1.0257458, 0.9344737, 0.6119914, 0.5159076, 0.7852905, 0.4582427, 0.8083787, 1.2116205, 0.5323257, 1.1506337, 0.9291959, 1.6839768, 1.1023322, 1.4818658, 0.7335560, 1.3694255, 0.6343668, 0.5388556, 0.8552869, 2.0695142, 0.5429316, 0.7798566, 1.5607776
    \n" + ], + "text/latex": [ + "\\begin{tabular}{r|lllll}\n", + " & n & p & rou & MSE & MSE.list\\\\\n", + "\\hline\n", + "\t46 & 100 & 1000 & 0.5 & 0.91 ( 0.04 ) & 1.1101125, 0.6519860, 0.7398478, 1.1498738, 0.9619897, 0.6013746, 1.3625092, 0.3473651, 1.1450087, 0.6678814, 0.2637982, 1.1272821, 0.5100440, 1.1207711, 0.6858812, 0.4732182, 0.4877071, 1.3858793, 0.9285002, 0.8910513, 0.4041991, 0.3094465, 0.7791739, 0.9177788, 1.3679422, 0.3555295, 0.6004392, 0.9110635, 0.6472957, 0.9988893, 2.1903274, 2.5255804, 0.9870283, 1.2731291, 0.6370381, 0.9076340, 0.8604679, 0.7195767, 0.8129923, 0.8024248, 0.9105749, 1.5656134, 0.4518466, 0.5868373, 0.7896528, 1.1223770, 0.2244172, 0.4527471, 1.0980113, 0.8810156, 0.9874237, 1.6133751, 1.7549198, 0.8114664, 0.6056103, 1.2937025, 0.5187529, 0.4362994, 1.0523983, 0.4049739, 0.6115282, 0.7411138, 1.0011934, 0.3509803, 0.5946993, 0.8179413, 0.8536523, 0.5527882, 0.9707325, 1.2802410, 0.9099143, 0.8149918, 1.0858406, 0.8915861, 1.1319847, 0.9534063, 1.8160839, 1.0257458, 0.9344737, 0.6119914, 0.5159076, 0.7852905, 0.4582427, 0.8083787, 1.2116205, 0.5323257, 1.1506337, 0.9291959, 1.6839768, 1.1023322, 1.4818658, 0.7335560, 1.3694255, 0.6343668, 0.5388556, 0.8552869, 2.0695142, 0.5429316, 0.7798566, 1.5607776\\\\\n", + "\\end{tabular}\n" + ], + "text/markdown": [ + "\n", + "| | n | p | rou | MSE | MSE.list |\n", + "|---|---|---|---|---|---|\n", + "| 46 | 100 | 1000 | 0.5 | 0.91 ( 0.04 ) | 1.1101125, 0.6519860, 0.7398478, 1.1498738, 0.9619897, 0.6013746, 1.3625092, 0.3473651, 1.1450087, 0.6678814, 0.2637982, 1.1272821, 0.5100440, 1.1207711, 0.6858812, 0.4732182, 0.4877071, 1.3858793, 0.9285002, 0.8910513, 0.4041991, 0.3094465, 0.7791739, 0.9177788, 1.3679422, 0.3555295, 0.6004392, 0.9110635, 0.6472957, 0.9988893, 2.1903274, 2.5255804, 0.9870283, 1.2731291, 0.6370381, 0.9076340, 0.8604679, 0.7195767, 0.8129923, 0.8024248, 0.9105749, 1.5656134, 0.4518466, 0.5868373, 0.7896528, 1.1223770, 0.2244172, 0.4527471, 1.0980113, 0.8810156, 0.9874237, 1.6133751, 1.7549198, 0.8114664, 0.6056103, 1.2937025, 0.5187529, 0.4362994, 1.0523983, 0.4049739, 0.6115282, 0.7411138, 1.0011934, 0.3509803, 0.5946993, 0.8179413, 0.8536523, 0.5527882, 0.9707325, 1.2802410, 0.9099143, 0.8149918, 1.0858406, 0.8915861, 1.1319847, 0.9534063, 1.8160839, 1.0257458, 0.9344737, 0.6119914, 0.5159076, 0.7852905, 0.4582427, 0.8083787, 1.2116205, 0.5323257, 1.1506337, 0.9291959, 1.6839768, 1.1023322, 1.4818658, 0.7335560, 1.3694255, 0.6343668, 0.5388556, 0.8552869, 2.0695142, 0.5429316, 0.7798566, 1.5607776 |\n", + "\n" + ], + "text/plain": [ + " n p rou MSE \n", + "46 100 1000 0.5 0.91 ( 0.04 )\n", + " MSE.list \n", + "46 1.1101125, 0.6519860, 0.7398478, 1.1498738, 0.9619897, 0.6013746, 1.3625092, 0.3473651, 1.1450087, 0.6678814, 0.2637982, 1.1272821, 0.5100440, 1.1207711, 0.6858812, 0.4732182, 0.4877071, 1.3858793, 0.9285002, 0.8910513, 0.4041991, 0.3094465, 0.7791739, 0.9177788, 1.3679422, 0.3555295, 0.6004392, 0.9110635, 0.6472957, 0.9988893, 2.1903274, 2.5255804, 0.9870283, 1.2731291, 0.6370381, 0.9076340, 0.8604679, 0.7195767, 0.8129923, 0.8024248, 0.9105749, 1.5656134, 0.4518466, 0.5868373, 0.7896528, 1.1223770, 0.2244172, 0.4527471, 1.0980113, 0.8810156, 0.9874237, 1.6133751, 1.7549198, 0.8114664, 0.6056103, 1.2937025, 0.5187529, 0.4362994, 1.0523983, 0.4049739, 0.6115282, 0.7411138, 1.0011934, 0.3509803, 0.5946993, 0.8179413, 0.8536523, 0.5527882, 0.9707325, 1.2802410, 0.9099143, 0.8149918, 1.0858406, 0.8915861, 1.1319847, 0.9534063, 1.8160839, 1.0257458, 0.9344737, 0.6119914, 0.5159076, 0.7852905, 0.4582427, 0.8083787, 1.2116205, 0.5323257, 1.1506337, 0.9291959, 1.6839768, 1.1023322, 1.4818658, 0.7335560, 1.3694255, 0.6343668, 0.5388556, 0.8552869, 2.0695142, 0.5429316, 0.7798566, 1.5607776" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "table_block_compLasso = NULL\n", + "for (i in 1:length(results_block_compLasso)){\n", + " table_block_compLasso = rbind(table_block_compLasso, results_block_compLasso[[i]][c('n', 'p', 'rou', 'MSE', 'MSE.list')])\n", + "}\n", + "table_block_compLasso = as.data.frame(table_block_compLasso)\n", + "rf_block5_compLasso= table_block_compLasso[table_block_compLasso$n == 100 & table_block_compLasso$p == 1000 & table_block_compLasso$rou == 0.5, ]\n", + "rf_block5_compLasso" + ] + }, + { + "cell_type": "code", + "execution_count": 38, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "0.439514359427722" + ], + "text/latex": [ + "0.439514359427722" + ], + "text/markdown": [ + "0.439514359427722" + ], + "text/plain": [ + "[1] 0.4395144" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "0.454598954212658" + ], + "text/latex": [ + "0.454598954212658" + ], + "text/markdown": [ + "0.454598954212658" + ], + "text/plain": [ + "[1] 0.454599" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
    \n", + "\t
    2.5%
    \n", + "\t\t
    -0.273304180160457
    \n", + "\t
    97.5%
    \n", + "\t\t
    1.56863259003766
    \n", + "
    \n" + ], + "text/latex": [ + "\\begin{description*}\n", + "\\item[2.5\\textbackslash{}\\%] -0.273304180160457\n", + "\\item[97.5\\textbackslash{}\\%] 1.56863259003766\n", + "\\end{description*}\n" + ], + "text/markdown": [ + "2.5%\n", + ": -0.27330418016045797.5%\n", + ": 1.56863259003766\n", + "\n" + ], + "text/plain": [ + " 2.5% 97.5% \n", + "-0.2733042 1.5686326 " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "diff_block = (unlist(rf_block5_compLasso$MSE.list) - unlist(rf_block5_rf$MSE.list))\n", + "mean(diff_block)\n", + "sd(diff_block)\n", + "quantile(diff_block, probs = c(0.025, 0.975))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Toeplitz 0.5" + ] + }, + { + "cell_type": "code", + "execution_count": 34, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", + "\n", + "\t\n", + "\n", + "
    nprouMSEMSE.list
    46100 1000 0.5 0.72 ( 0.02 ) 0.5480701, 0.5456622, 0.6046593, 0.7802792, 0.5564160, 0.8468460, 0.4962066, 0.6002301, 0.7197087, 0.8322002, 0.8370241, 0.7042491, 0.7296914, 0.7883332, 0.7773170, 0.8004030, 0.5738099, 0.7080895, 0.4735798, 0.8907030, 0.4745488, 0.6972922, 0.8183826, 0.5698736, 0.6296879, 0.6939117, 0.8883939, 0.5428835, 1.1874869, 0.6937746, 0.4956598, 0.5523018, 0.8295625, 0.8923571, 1.0726882, 0.6509979, 0.5781111, 0.9521210, 0.5251293, 0.7952157, 0.7322116, 0.6871817, 0.7204011, 1.1810854, 1.1751481, 0.7082380, 0.6971877, 1.0196209, 0.7037824, 0.8105835, 1.1165501, 0.5775225, 0.5665563, 0.7273973, 1.3113648, 0.6025675, 0.8935835, 0.6165939, 0.3838047, 0.6833741, 0.5721250, 0.5478751, 0.5123701, 0.7706215, 1.0321326, 0.7021128, 0.5282792, 0.5642605, 0.7610716, 0.6069513, 0.6572387, 0.8830648, 0.7969348, 0.9412556, 0.5570120, 0.6591877, 0.6899799, 0.5051250, 0.8911872, 0.5656055, 1.0006875, 0.8468315, 0.9820390, 0.6041058, 0.9307259, 0.7710037, 0.5545953, 0.4067023, 0.5719611, 0.4234005, 0.8979186, 0.9248135, 0.5666418, 0.7263402, 0.9324326, 0.4342892, 0.7020636, 0.8808153, 0.6929102, 0.6299956
    \n" + ], + "text/latex": [ + "\\begin{tabular}{r|lllll}\n", + " & n & p & rou & MSE & MSE.list\\\\\n", + "\\hline\n", + "\t46 & 100 & 1000 & 0.5 & 0.72 ( 0.02 ) & 0.5480701, 0.5456622, 0.6046593, 0.7802792, 0.5564160, 0.8468460, 0.4962066, 0.6002301, 0.7197087, 0.8322002, 0.8370241, 0.7042491, 0.7296914, 0.7883332, 0.7773170, 0.8004030, 0.5738099, 0.7080895, 0.4735798, 0.8907030, 0.4745488, 0.6972922, 0.8183826, 0.5698736, 0.6296879, 0.6939117, 0.8883939, 0.5428835, 1.1874869, 0.6937746, 0.4956598, 0.5523018, 0.8295625, 0.8923571, 1.0726882, 0.6509979, 0.5781111, 0.9521210, 0.5251293, 0.7952157, 0.7322116, 0.6871817, 0.7204011, 1.1810854, 1.1751481, 0.7082380, 0.6971877, 1.0196209, 0.7037824, 0.8105835, 1.1165501, 0.5775225, 0.5665563, 0.7273973, 1.3113648, 0.6025675, 0.8935835, 0.6165939, 0.3838047, 0.6833741, 0.5721250, 0.5478751, 0.5123701, 0.7706215, 1.0321326, 0.7021128, 0.5282792, 0.5642605, 0.7610716, 0.6069513, 0.6572387, 0.8830648, 0.7969348, 0.9412556, 0.5570120, 0.6591877, 0.6899799, 0.5051250, 0.8911872, 0.5656055, 1.0006875, 0.8468315, 0.9820390, 0.6041058, 0.9307259, 0.7710037, 0.5545953, 0.4067023, 0.5719611, 0.4234005, 0.8979186, 0.9248135, 0.5666418, 0.7263402, 0.9324326, 0.4342892, 0.7020636, 0.8808153, 0.6929102, 0.6299956\\\\\n", + "\\end{tabular}\n" + ], + "text/markdown": [ + "\n", + "| | n | p | rou | MSE | MSE.list |\n", + "|---|---|---|---|---|---|\n", + "| 46 | 100 | 1000 | 0.5 | 0.72 ( 0.02 ) | 0.5480701, 0.5456622, 0.6046593, 0.7802792, 0.5564160, 0.8468460, 0.4962066, 0.6002301, 0.7197087, 0.8322002, 0.8370241, 0.7042491, 0.7296914, 0.7883332, 0.7773170, 0.8004030, 0.5738099, 0.7080895, 0.4735798, 0.8907030, 0.4745488, 0.6972922, 0.8183826, 0.5698736, 0.6296879, 0.6939117, 0.8883939, 0.5428835, 1.1874869, 0.6937746, 0.4956598, 0.5523018, 0.8295625, 0.8923571, 1.0726882, 0.6509979, 0.5781111, 0.9521210, 0.5251293, 0.7952157, 0.7322116, 0.6871817, 0.7204011, 1.1810854, 1.1751481, 0.7082380, 0.6971877, 1.0196209, 0.7037824, 0.8105835, 1.1165501, 0.5775225, 0.5665563, 0.7273973, 1.3113648, 0.6025675, 0.8935835, 0.6165939, 0.3838047, 0.6833741, 0.5721250, 0.5478751, 0.5123701, 0.7706215, 1.0321326, 0.7021128, 0.5282792, 0.5642605, 0.7610716, 0.6069513, 0.6572387, 0.8830648, 0.7969348, 0.9412556, 0.5570120, 0.6591877, 0.6899799, 0.5051250, 0.8911872, 0.5656055, 1.0006875, 0.8468315, 0.9820390, 0.6041058, 0.9307259, 0.7710037, 0.5545953, 0.4067023, 0.5719611, 0.4234005, 0.8979186, 0.9248135, 0.5666418, 0.7263402, 0.9324326, 0.4342892, 0.7020636, 0.8808153, 0.6929102, 0.6299956 |\n", + "\n" + ], + "text/plain": [ + " n p rou MSE \n", + "46 100 1000 0.5 0.72 ( 0.02 )\n", + " MSE.list \n", + "46 0.5480701, 0.5456622, 0.6046593, 0.7802792, 0.5564160, 0.8468460, 0.4962066, 0.6002301, 0.7197087, 0.8322002, 0.8370241, 0.7042491, 0.7296914, 0.7883332, 0.7773170, 0.8004030, 0.5738099, 0.7080895, 0.4735798, 0.8907030, 0.4745488, 0.6972922, 0.8183826, 0.5698736, 0.6296879, 0.6939117, 0.8883939, 0.5428835, 1.1874869, 0.6937746, 0.4956598, 0.5523018, 0.8295625, 0.8923571, 1.0726882, 0.6509979, 0.5781111, 0.9521210, 0.5251293, 0.7952157, 0.7322116, 0.6871817, 0.7204011, 1.1810854, 1.1751481, 0.7082380, 0.6971877, 1.0196209, 0.7037824, 0.8105835, 1.1165501, 0.5775225, 0.5665563, 0.7273973, 1.3113648, 0.6025675, 0.8935835, 0.6165939, 0.3838047, 0.6833741, 0.5721250, 0.5478751, 0.5123701, 0.7706215, 1.0321326, 0.7021128, 0.5282792, 0.5642605, 0.7610716, 0.6069513, 0.6572387, 0.8830648, 0.7969348, 0.9412556, 0.5570120, 0.6591877, 0.6899799, 0.5051250, 0.8911872, 0.5656055, 1.0006875, 0.8468315, 0.9820390, 0.6041058, 0.9307259, 0.7710037, 0.5545953, 0.4067023, 0.5719611, 0.4234005, 0.8979186, 0.9248135, 0.5666418, 0.7263402, 0.9324326, 0.4342892, 0.7020636, 0.8808153, 0.6929102, 0.6299956" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "load('../sim_data/toe_RF.RData')\n", + "table_toe_rf = NULL\n", + "for (i in 1:length(results_toe_rf)){\n", + " table_toe_rf = rbind(table_toe_rf, results_toe_rf[[i]][c('n', 'p', 'rou', 'MSE', 'MSE.list')])\n", + "}\n", + "table_toe_rf = as.data.frame(table_toe_rf)\n", + "rf_toe5_rf= table_toe_rf[table_toe_rf$n == 100 & table_toe_rf$p == 1000 & table_toe_rf$rou == 0.5, ]\n", + "rf_toe5_rf" + ] + }, + { + "cell_type": "code", + "execution_count": 35, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", + "\n", + "\t\n", + "\n", + "
    nprouMSEMSE.list
    46100 1000 0.5 0.96 ( 0.05 ) 1.1333219, 1.2739089, 0.6735451, 0.7455676, 0.8084525, 0.9115262, 1.1253772, 0.7718239, 0.7704166, 0.9337895, 0.6251795, 1.2304850, 0.9825552, 0.6256884, 0.8465868, 0.8928493, 0.6841306, 0.7445355, 1.0251240, 1.0109804, 0.6584266, 0.6574249, 0.8796538, 0.5822056, 1.8200702, 0.3513984, 0.7348276, 1.9856867, 0.5293853, 1.2169509, 0.4462136, 1.0628981, 1.0927890, 0.7534512, 0.3504197, 0.6451335, 0.7688543, 0.4767431, 1.7155647, 1.6765981, 0.5145321, 0.4758315, 1.9340790, 0.3082418, 0.8707792, 0.8961984, 0.6985983, 1.4072453, 0.3051685, 0.5767318, 0.8742455, 1.1188925, 1.0622541, 1.1897730, 0.7308046, 1.1798550, 0.5843354, 0.6606599, 1.0553048, 1.0076178, 0.6620472, 0.5932031, 1.5098887, 0.9258426, 0.5178589, 0.8255029, 0.7817222, 1.9833525, 0.8742543, 1.0785289, 0.9291164, 0.5450408, 0.9975609, 0.8724312, 0.5304621, 1.0475676, 1.5424944, 1.3738204, 2.1881127, 1.7968121, 0.7707653, 0.5582550, 1.4977663, 0.8136983, 0.5509221, 0.5157933, 1.1241994, 0.5044806, 1.1753270, 0.4650944, 1.0019032, 0.7552821, 0.8536905, 3.1389767, 0.8944839, 0.8503332, 0.9161472, 1.7568389, 0.9580790, 1.2403539
    \n" + ], + "text/latex": [ + "\\begin{tabular}{r|lllll}\n", + " & n & p & rou & MSE & MSE.list\\\\\n", + "\\hline\n", + "\t46 & 100 & 1000 & 0.5 & 0.96 ( 0.05 ) & 1.1333219, 1.2739089, 0.6735451, 0.7455676, 0.8084525, 0.9115262, 1.1253772, 0.7718239, 0.7704166, 0.9337895, 0.6251795, 1.2304850, 0.9825552, 0.6256884, 0.8465868, 0.8928493, 0.6841306, 0.7445355, 1.0251240, 1.0109804, 0.6584266, 0.6574249, 0.8796538, 0.5822056, 1.8200702, 0.3513984, 0.7348276, 1.9856867, 0.5293853, 1.2169509, 0.4462136, 1.0628981, 1.0927890, 0.7534512, 0.3504197, 0.6451335, 0.7688543, 0.4767431, 1.7155647, 1.6765981, 0.5145321, 0.4758315, 1.9340790, 0.3082418, 0.8707792, 0.8961984, 0.6985983, 1.4072453, 0.3051685, 0.5767318, 0.8742455, 1.1188925, 1.0622541, 1.1897730, 0.7308046, 1.1798550, 0.5843354, 0.6606599, 1.0553048, 1.0076178, 0.6620472, 0.5932031, 1.5098887, 0.9258426, 0.5178589, 0.8255029, 0.7817222, 1.9833525, 0.8742543, 1.0785289, 0.9291164, 0.5450408, 0.9975609, 0.8724312, 0.5304621, 1.0475676, 1.5424944, 1.3738204, 2.1881127, 1.7968121, 0.7707653, 0.5582550, 1.4977663, 0.8136983, 0.5509221, 0.5157933, 1.1241994, 0.5044806, 1.1753270, 0.4650944, 1.0019032, 0.7552821, 0.8536905, 3.1389767, 0.8944839, 0.8503332, 0.9161472, 1.7568389, 0.9580790, 1.2403539\\\\\n", + "\\end{tabular}\n" + ], + "text/markdown": [ + "\n", + "| | n | p | rou | MSE | MSE.list |\n", + "|---|---|---|---|---|---|\n", + "| 46 | 100 | 1000 | 0.5 | 0.96 ( 0.05 ) | 1.1333219, 1.2739089, 0.6735451, 0.7455676, 0.8084525, 0.9115262, 1.1253772, 0.7718239, 0.7704166, 0.9337895, 0.6251795, 1.2304850, 0.9825552, 0.6256884, 0.8465868, 0.8928493, 0.6841306, 0.7445355, 1.0251240, 1.0109804, 0.6584266, 0.6574249, 0.8796538, 0.5822056, 1.8200702, 0.3513984, 0.7348276, 1.9856867, 0.5293853, 1.2169509, 0.4462136, 1.0628981, 1.0927890, 0.7534512, 0.3504197, 0.6451335, 0.7688543, 0.4767431, 1.7155647, 1.6765981, 0.5145321, 0.4758315, 1.9340790, 0.3082418, 0.8707792, 0.8961984, 0.6985983, 1.4072453, 0.3051685, 0.5767318, 0.8742455, 1.1188925, 1.0622541, 1.1897730, 0.7308046, 1.1798550, 0.5843354, 0.6606599, 1.0553048, 1.0076178, 0.6620472, 0.5932031, 1.5098887, 0.9258426, 0.5178589, 0.8255029, 0.7817222, 1.9833525, 0.8742543, 1.0785289, 0.9291164, 0.5450408, 0.9975609, 0.8724312, 0.5304621, 1.0475676, 1.5424944, 1.3738204, 2.1881127, 1.7968121, 0.7707653, 0.5582550, 1.4977663, 0.8136983, 0.5509221, 0.5157933, 1.1241994, 0.5044806, 1.1753270, 0.4650944, 1.0019032, 0.7552821, 0.8536905, 3.1389767, 0.8944839, 0.8503332, 0.9161472, 1.7568389, 0.9580790, 1.2403539 |\n", + "\n" + ], + "text/plain": [ + " n p rou MSE \n", + "46 100 1000 0.5 0.96 ( 0.05 )\n", + " MSE.list \n", + "46 1.1333219, 1.2739089, 0.6735451, 0.7455676, 0.8084525, 0.9115262, 1.1253772, 0.7718239, 0.7704166, 0.9337895, 0.6251795, 1.2304850, 0.9825552, 0.6256884, 0.8465868, 0.8928493, 0.6841306, 0.7445355, 1.0251240, 1.0109804, 0.6584266, 0.6574249, 0.8796538, 0.5822056, 1.8200702, 0.3513984, 0.7348276, 1.9856867, 0.5293853, 1.2169509, 0.4462136, 1.0628981, 1.0927890, 0.7534512, 0.3504197, 0.6451335, 0.7688543, 0.4767431, 1.7155647, 1.6765981, 0.5145321, 0.4758315, 1.9340790, 0.3082418, 0.8707792, 0.8961984, 0.6985983, 1.4072453, 0.3051685, 0.5767318, 0.8742455, 1.1188925, 1.0622541, 1.1897730, 0.7308046, 1.1798550, 0.5843354, 0.6606599, 1.0553048, 1.0076178, 0.6620472, 0.5932031, 1.5098887, 0.9258426, 0.5178589, 0.8255029, 0.7817222, 1.9833525, 0.8742543, 1.0785289, 0.9291164, 0.5450408, 0.9975609, 0.8724312, 0.5304621, 1.0475676, 1.5424944, 1.3738204, 2.1881127, 1.7968121, 0.7707653, 0.5582550, 1.4977663, 0.8136983, 0.5509221, 0.5157933, 1.1241994, 0.5044806, 1.1753270, 0.4650944, 1.0019032, 0.7552821, 0.8536905, 3.1389767, 0.8944839, 0.8503332, 0.9161472, 1.7568389, 0.9580790, 1.2403539" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "load('../sim_data/toe_compLasso.RData')\n", + "table_toe_compLasso = NULL\n", + "for (i in 1:length(results_toe_compLasso)){\n", + " table_toe_compLasso = rbind(table_toe_compLasso, results_toe_compLasso[[i]][c('n', 'p', 'rou', 'MSE', 'MSE.list')])\n", + "}\n", + "table_toe_compLasso = as.data.frame(table_toe_compLasso)\n", + "rf_toe5_compLasso= table_toe_compLasso[table_toe_compLasso$n == 100 & table_toe_compLasso$p == 1000 & table_toe_compLasso$rou == 0.5, ]\n", + "rf_toe5_compLasso" + ] + }, + { + "cell_type": "code", + "execution_count": 37, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "0.23096420572779" + ], + "text/latex": [ + "0.23096420572779" + ], + "text/markdown": [ + "0.23096420572779" + ], + "text/plain": [ + "[1] 0.2309642" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "0.521190219773319" + ], + "text/latex": [ + "0.521190219773319" + ], + "text/markdown": [ + "0.521190219773319" + ], + "text/plain": [ + "[1] 0.5211902" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
    \n", + "\t
    2.5%
    \n", + "\t\t
    -0.621269466414493
    \n", + "\t
    97.5%
    \n", + "\t\t
    1.36106289789273
    \n", + "
    \n" + ], + "text/latex": [ + "\\begin{description*}\n", + "\\item[2.5\\textbackslash{}\\%] -0.621269466414493\n", + "\\item[97.5\\textbackslash{}\\%] 1.36106289789273\n", + "\\end{description*}\n" + ], + "text/markdown": [ + "2.5%\n", + ": -0.62126946641449397.5%\n", + ": 1.36106289789273\n", + "\n" + ], + "text/plain": [ + " 2.5% 97.5% \n", + "-0.6212695 1.3610629 " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "diff_toe = (unlist(rf_toe5_compLasso$MSE.list) - unlist(rf_toe5_rf$MSE.list))\n", + "mean(diff_toe)\n", + "sd(diff_toe)\n", + "quantile(diff_toe, probs = c(0.025, 0.975))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "R", + "language": "R", + "name": "ir" + }, + "language_info": { + "codemirror_mode": "r", + "file_extension": ".r", + "mimetype": "text/x-r-source", + "name": "R", + "pygments_lexer": "r", + "version": "3.6.1" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/simulations/notebooks_simulations/makeFigures.ipynb b/simulations/notebooks_simulations/makeFigures.ipynb new file mode 100644 index 0000000..0efadee --- /dev/null +++ b/simulations/notebooks_simulations/makeFigures.ipynb @@ -0,0 +1,1412 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Produce figures for simulation results (cleaned)" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Registered S3 methods overwritten by 'ggplot2':\n", + " method from \n", + " [.quosures rlang\n", + " c.quosures rlang\n", + " print.quosures rlang\n", + "Loading required package: magrittr\n" + ] + } + ], + "source": [ + "library(ggplot2)\n", + "library(gridExtra)\n", + "library(ggpubr)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### read tables" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", + "\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\n", + "
    NPRatioStabMSEFPFNnum_selectFDRMSE_meanFP_meanFN_meanmethod
    50 50 1.00 0.37 0.54 ( 0.03 )8.36 ( 0.45 )0.02 ( 0.01 )13.34 0.51 0.54 8.36 0.02 lasso
    100 50 0.50 0.51 0.36 ( 0.01 )5.5 ( 0.42 ) 0 ( 0 ) 10.50 0.37 0.36 5.50 0.00 lasso
    500 50 0.10 0.79 0.28 ( 0 ) 2.33 ( 0.14 )0 ( 0 ) 7.33 0.15 0.28 2.33 0.00 lasso
    1000 50 0.05 0.86 0.26 ( 0 ) 1.82 ( 0.13 )0 ( 0 ) 6.82 0.10 0.26 1.82 0.00 lasso
    50 100 2.00 0.32 0.66 ( 0.04 )11.1 ( 0.38 )0.08 ( 0.03 )16.02 0.61 0.66 11.10 0.08 lasso
    100 100 1.00 0.46 0.41 ( 0.01 )7.23 ( 0.4 ) 0 ( 0 ) 12.23 0.46 0.41 7.23 0.00 lasso
    \n" + ], + "text/latex": [ + "\\begin{tabular}{r|lllllllllllll}\n", + " N & P & Ratio & Stab & MSE & FP & FN & num\\_select & FDR & MSE\\_mean & FP\\_mean & FN\\_mean & method\\\\\n", + "\\hline\n", + "\t 50 & 50 & 1.00 & 0.37 & 0.54 ( 0.03 ) & 8.36 ( 0.45 ) & 0.02 ( 0.01 ) & 13.34 & 0.51 & 0.54 & 8.36 & 0.02 & lasso \\\\\n", + "\t 100 & 50 & 0.50 & 0.51 & 0.36 ( 0.01 ) & 5.5 ( 0.42 ) & 0 ( 0 ) & 10.50 & 0.37 & 0.36 & 5.50 & 0.00 & lasso \\\\\n", + "\t 500 & 50 & 0.10 & 0.79 & 0.28 ( 0 ) & 2.33 ( 0.14 ) & 0 ( 0 ) & 7.33 & 0.15 & 0.28 & 2.33 & 0.00 & lasso \\\\\n", + "\t 1000 & 50 & 0.05 & 0.86 & 0.26 ( 0 ) & 1.82 ( 0.13 ) & 0 ( 0 ) & 6.82 & 0.10 & 0.26 & 1.82 & 0.00 & lasso \\\\\n", + "\t 50 & 100 & 2.00 & 0.32 & 0.66 ( 0.04 ) & 11.1 ( 0.38 ) & 0.08 ( 0.03 ) & 16.02 & 0.61 & 0.66 & 11.10 & 0.08 & lasso \\\\\n", + "\t 100 & 100 & 1.00 & 0.46 & 0.41 ( 0.01 ) & 7.23 ( 0.4 ) & 0 ( 0 ) & 12.23 & 0.46 & 0.41 & 7.23 & 0.00 & lasso \\\\\n", + "\\end{tabular}\n" + ], + "text/markdown": [ + "\n", + "| N | P | Ratio | Stab | MSE | FP | FN | num_select | FDR | MSE_mean | FP_mean | FN_mean | method |\n", + "|---|---|---|---|---|---|---|---|---|---|---|---|---|\n", + "| 50 | 50 | 1.00 | 0.37 | 0.54 ( 0.03 ) | 8.36 ( 0.45 ) | 0.02 ( 0.01 ) | 13.34 | 0.51 | 0.54 | 8.36 | 0.02 | lasso |\n", + "| 100 | 50 | 0.50 | 0.51 | 0.36 ( 0.01 ) | 5.5 ( 0.42 ) | 0 ( 0 ) | 10.50 | 0.37 | 0.36 | 5.50 | 0.00 | lasso |\n", + "| 500 | 50 | 0.10 | 0.79 | 0.28 ( 0 ) | 2.33 ( 0.14 ) | 0 ( 0 ) | 7.33 | 0.15 | 0.28 | 2.33 | 0.00 | lasso |\n", + "| 1000 | 50 | 0.05 | 0.86 | 0.26 ( 0 ) | 1.82 ( 0.13 ) | 0 ( 0 ) | 6.82 | 0.10 | 0.26 | 1.82 | 0.00 | lasso |\n", + "| 50 | 100 | 2.00 | 0.32 | 0.66 ( 0.04 ) | 11.1 ( 0.38 ) | 0.08 ( 0.03 ) | 16.02 | 0.61 | 0.66 | 11.10 | 0.08 | lasso |\n", + "| 100 | 100 | 1.00 | 0.46 | 0.41 ( 0.01 ) | 7.23 ( 0.4 ) | 0 ( 0 ) | 12.23 | 0.46 | 0.41 | 7.23 | 0.00 | lasso |\n", + "\n" + ], + "text/plain": [ + " N P Ratio Stab MSE FP FN num_select FDR \n", + "1 50 50 1.00 0.37 0.54 ( 0.03 ) 8.36 ( 0.45 ) 0.02 ( 0.01 ) 13.34 0.51\n", + "2 100 50 0.50 0.51 0.36 ( 0.01 ) 5.5 ( 0.42 ) 0 ( 0 ) 10.50 0.37\n", + "3 500 50 0.10 0.79 0.28 ( 0 ) 2.33 ( 0.14 ) 0 ( 0 ) 7.33 0.15\n", + "4 1000 50 0.05 0.86 0.26 ( 0 ) 1.82 ( 0.13 ) 0 ( 0 ) 6.82 0.10\n", + "5 50 100 2.00 0.32 0.66 ( 0.04 ) 11.1 ( 0.38 ) 0.08 ( 0.03 ) 16.02 0.61\n", + "6 100 100 1.00 0.46 0.41 ( 0.01 ) 7.23 ( 0.4 ) 0 ( 0 ) 12.23 0.46\n", + " MSE_mean FP_mean FN_mean method\n", + "1 0.54 8.36 0.02 lasso \n", + "2 0.36 5.50 0.00 lasso \n", + "3 0.28 2.33 0.00 lasso \n", + "4 0.26 1.82 0.00 lasso \n", + "5 0.66 11.10 0.08 lasso \n", + "6 0.41 7.23 0.00 lasso " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "ind = read.csv('../results_summary/table_ind_all.txt', sep='\\t')\n", + "head(ind)" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", + "\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\n", + "
    NPCorrRatioStabMSEFPFNnum_selectFDRMSE_meanFP_meanFN_meanmethod
    50 50 0.1 1.00 0.36 0.62 ( 0.04 )8.59 ( 0.46 )0.02 ( 0.01 )13.57 0.51 0.62 8.59 0.02 lasso
    100 50 0.1 0.50 0.47 0.37 ( 0.01 )6.3 ( 0.43 ) 0 ( 0 ) 11.30 0.40 0.37 6.30 0.00 lasso
    500 50 0.1 0.10 0.73 0.28 ( 0 ) 2.88 ( 0.21 )0 ( 0 ) 7.88 0.20 0.28 2.88 0.00 lasso
    1000 50 0.1 0.05 0.89 0.27 ( 0 ) 1.66 ( 0.11 )0 ( 0 ) 6.66 0.08 0.27 1.66 0.00 lasso
    50 100 0.1 2.00 0.32 0.67 ( 0.05 )11.84 ( 0.4 )0 ( 0 ) 16.84 0.62 0.67 11.80 0.00 lasso
    100 100 0.1 1.00 0.44 0.4 ( 0.01 ) 7.71 ( 0.56 )0 ( 0 ) 12.71 0.46 0.40 7.71 0.00 lasso
    \n" + ], + "text/latex": [ + "\\begin{tabular}{r|llllllllllllll}\n", + " N & P & Corr & Ratio & Stab & MSE & FP & FN & num\\_select & FDR & MSE\\_mean & FP\\_mean & FN\\_mean & method\\\\\n", + "\\hline\n", + "\t 50 & 50 & 0.1 & 1.00 & 0.36 & 0.62 ( 0.04 ) & 8.59 ( 0.46 ) & 0.02 ( 0.01 ) & 13.57 & 0.51 & 0.62 & 8.59 & 0.02 & lasso \\\\\n", + "\t 100 & 50 & 0.1 & 0.50 & 0.47 & 0.37 ( 0.01 ) & 6.3 ( 0.43 ) & 0 ( 0 ) & 11.30 & 0.40 & 0.37 & 6.30 & 0.00 & lasso \\\\\n", + "\t 500 & 50 & 0.1 & 0.10 & 0.73 & 0.28 ( 0 ) & 2.88 ( 0.21 ) & 0 ( 0 ) & 7.88 & 0.20 & 0.28 & 2.88 & 0.00 & lasso \\\\\n", + "\t 1000 & 50 & 0.1 & 0.05 & 0.89 & 0.27 ( 0 ) & 1.66 ( 0.11 ) & 0 ( 0 ) & 6.66 & 0.08 & 0.27 & 1.66 & 0.00 & lasso \\\\\n", + "\t 50 & 100 & 0.1 & 2.00 & 0.32 & 0.67 ( 0.05 ) & 11.84 ( 0.4 ) & 0 ( 0 ) & 16.84 & 0.62 & 0.67 & 11.80 & 0.00 & lasso \\\\\n", + "\t 100 & 100 & 0.1 & 1.00 & 0.44 & 0.4 ( 0.01 ) & 7.71 ( 0.56 ) & 0 ( 0 ) & 12.71 & 0.46 & 0.40 & 7.71 & 0.00 & lasso \\\\\n", + "\\end{tabular}\n" + ], + "text/markdown": [ + "\n", + "| N | P | Corr | Ratio | Stab | MSE | FP | FN | num_select | FDR | MSE_mean | FP_mean | FN_mean | method |\n", + "|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n", + "| 50 | 50 | 0.1 | 1.00 | 0.36 | 0.62 ( 0.04 ) | 8.59 ( 0.46 ) | 0.02 ( 0.01 ) | 13.57 | 0.51 | 0.62 | 8.59 | 0.02 | lasso |\n", + "| 100 | 50 | 0.1 | 0.50 | 0.47 | 0.37 ( 0.01 ) | 6.3 ( 0.43 ) | 0 ( 0 ) | 11.30 | 0.40 | 0.37 | 6.30 | 0.00 | lasso |\n", + "| 500 | 50 | 0.1 | 0.10 | 0.73 | 0.28 ( 0 ) | 2.88 ( 0.21 ) | 0 ( 0 ) | 7.88 | 0.20 | 0.28 | 2.88 | 0.00 | lasso |\n", + "| 1000 | 50 | 0.1 | 0.05 | 0.89 | 0.27 ( 0 ) | 1.66 ( 0.11 ) | 0 ( 0 ) | 6.66 | 0.08 | 0.27 | 1.66 | 0.00 | lasso |\n", + "| 50 | 100 | 0.1 | 2.00 | 0.32 | 0.67 ( 0.05 ) | 11.84 ( 0.4 ) | 0 ( 0 ) | 16.84 | 0.62 | 0.67 | 11.80 | 0.00 | lasso |\n", + "| 100 | 100 | 0.1 | 1.00 | 0.44 | 0.4 ( 0.01 ) | 7.71 ( 0.56 ) | 0 ( 0 ) | 12.71 | 0.46 | 0.40 | 7.71 | 0.00 | lasso |\n", + "\n" + ], + "text/plain": [ + " N P Corr Ratio Stab MSE FP FN num_select\n", + "1 50 50 0.1 1.00 0.36 0.62 ( 0.04 ) 8.59 ( 0.46 ) 0.02 ( 0.01 ) 13.57 \n", + "2 100 50 0.1 0.50 0.47 0.37 ( 0.01 ) 6.3 ( 0.43 ) 0 ( 0 ) 11.30 \n", + "3 500 50 0.1 0.10 0.73 0.28 ( 0 ) 2.88 ( 0.21 ) 0 ( 0 ) 7.88 \n", + "4 1000 50 0.1 0.05 0.89 0.27 ( 0 ) 1.66 ( 0.11 ) 0 ( 0 ) 6.66 \n", + "5 50 100 0.1 2.00 0.32 0.67 ( 0.05 ) 11.84 ( 0.4 ) 0 ( 0 ) 16.84 \n", + "6 100 100 0.1 1.00 0.44 0.4 ( 0.01 ) 7.71 ( 0.56 ) 0 ( 0 ) 12.71 \n", + " FDR MSE_mean FP_mean FN_mean method\n", + "1 0.51 0.62 8.59 0.02 lasso \n", + "2 0.40 0.37 6.30 0.00 lasso \n", + "3 0.20 0.28 2.88 0.00 lasso \n", + "4 0.08 0.27 1.66 0.00 lasso \n", + "5 0.62 0.67 11.80 0.00 lasso \n", + "6 0.46 0.40 7.71 0.00 lasso " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "toe = read.csv('../results_summary/table_toe_all.txt', sep='\\t')\n", + "head(toe)" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", + "\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\n", + "
    NPCorrRatioStabMSEFPFNnum_selectFDRMSE_meanFP_meanFN_meanmethod
    50 50 0.1 1.00 0.05 0.36 ( 0.01 )3.52 ( 0.22 )4.92 ( 0.08 )3.60 0.65 0.36 3.52 4.92 lasso
    100 50 0.1 0.50 0.18 0.31 ( 0.01 )2.71 ( 0.25 )4.4 ( 0.1 ) 3.31 0.42 0.31 2.71 4.40 lasso
    500 50 0.1 0.10 0.35 0.29 ( 0 ) 5.42 ( 0.25 )1.97 ( 0.11 )8.45 0.48 0.29 5.42 1.97 lasso
    1000 50 0.1 0.05 0.44 0.28 ( 0 ) 4.91 ( 0.2 ) 1.57 ( 0.09 )8.34 0.44 0.28 4.91 1.57 lasso
    50 100 0.1 2.00 0.06 0.37 ( 0.02 )4.73 ( 0.22 )4.79 ( 0.08 )4.94 0.72 0.37 4.73 4.79 lasso
    100 100 0.1 1.00 0.13 0.34 ( 0.01 )3 ( 0.15 ) 4.75 ( 0.09 )3.25 0.57 0.34 3.00 4.75 lasso
    \n" + ], + "text/latex": [ + "\\begin{tabular}{r|llllllllllllll}\n", + " N & P & Corr & Ratio & Stab & MSE & FP & FN & num\\_select & FDR & MSE\\_mean & FP\\_mean & FN\\_mean & method\\\\\n", + "\\hline\n", + "\t 50 & 50 & 0.1 & 1.00 & 0.05 & 0.36 ( 0.01 ) & 3.52 ( 0.22 ) & 4.92 ( 0.08 ) & 3.60 & 0.65 & 0.36 & 3.52 & 4.92 & lasso \\\\\n", + "\t 100 & 50 & 0.1 & 0.50 & 0.18 & 0.31 ( 0.01 ) & 2.71 ( 0.25 ) & 4.4 ( 0.1 ) & 3.31 & 0.42 & 0.31 & 2.71 & 4.40 & lasso \\\\\n", + "\t 500 & 50 & 0.1 & 0.10 & 0.35 & 0.29 ( 0 ) & 5.42 ( 0.25 ) & 1.97 ( 0.11 ) & 8.45 & 0.48 & 0.29 & 5.42 & 1.97 & lasso \\\\\n", + "\t 1000 & 50 & 0.1 & 0.05 & 0.44 & 0.28 ( 0 ) & 4.91 ( 0.2 ) & 1.57 ( 0.09 ) & 8.34 & 0.44 & 0.28 & 4.91 & 1.57 & lasso \\\\\n", + "\t 50 & 100 & 0.1 & 2.00 & 0.06 & 0.37 ( 0.02 ) & 4.73 ( 0.22 ) & 4.79 ( 0.08 ) & 4.94 & 0.72 & 0.37 & 4.73 & 4.79 & lasso \\\\\n", + "\t 100 & 100 & 0.1 & 1.00 & 0.13 & 0.34 ( 0.01 ) & 3 ( 0.15 ) & 4.75 ( 0.09 ) & 3.25 & 0.57 & 0.34 & 3.00 & 4.75 & lasso \\\\\n", + "\\end{tabular}\n" + ], + "text/markdown": [ + "\n", + "| N | P | Corr | Ratio | Stab | MSE | FP | FN | num_select | FDR | MSE_mean | FP_mean | FN_mean | method |\n", + "|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n", + "| 50 | 50 | 0.1 | 1.00 | 0.05 | 0.36 ( 0.01 ) | 3.52 ( 0.22 ) | 4.92 ( 0.08 ) | 3.60 | 0.65 | 0.36 | 3.52 | 4.92 | lasso |\n", + "| 100 | 50 | 0.1 | 0.50 | 0.18 | 0.31 ( 0.01 ) | 2.71 ( 0.25 ) | 4.4 ( 0.1 ) | 3.31 | 0.42 | 0.31 | 2.71 | 4.40 | lasso |\n", + "| 500 | 50 | 0.1 | 0.10 | 0.35 | 0.29 ( 0 ) | 5.42 ( 0.25 ) | 1.97 ( 0.11 ) | 8.45 | 0.48 | 0.29 | 5.42 | 1.97 | lasso |\n", + "| 1000 | 50 | 0.1 | 0.05 | 0.44 | 0.28 ( 0 ) | 4.91 ( 0.2 ) | 1.57 ( 0.09 ) | 8.34 | 0.44 | 0.28 | 4.91 | 1.57 | lasso |\n", + "| 50 | 100 | 0.1 | 2.00 | 0.06 | 0.37 ( 0.02 ) | 4.73 ( 0.22 ) | 4.79 ( 0.08 ) | 4.94 | 0.72 | 0.37 | 4.73 | 4.79 | lasso |\n", + "| 100 | 100 | 0.1 | 1.00 | 0.13 | 0.34 ( 0.01 ) | 3 ( 0.15 ) | 4.75 ( 0.09 ) | 3.25 | 0.57 | 0.34 | 3.00 | 4.75 | lasso |\n", + "\n" + ], + "text/plain": [ + " N P Corr Ratio Stab MSE FP FN num_select\n", + "1 50 50 0.1 1.00 0.05 0.36 ( 0.01 ) 3.52 ( 0.22 ) 4.92 ( 0.08 ) 3.60 \n", + "2 100 50 0.1 0.50 0.18 0.31 ( 0.01 ) 2.71 ( 0.25 ) 4.4 ( 0.1 ) 3.31 \n", + "3 500 50 0.1 0.10 0.35 0.29 ( 0 ) 5.42 ( 0.25 ) 1.97 ( 0.11 ) 8.45 \n", + "4 1000 50 0.1 0.05 0.44 0.28 ( 0 ) 4.91 ( 0.2 ) 1.57 ( 0.09 ) 8.34 \n", + "5 50 100 0.1 2.00 0.06 0.37 ( 0.02 ) 4.73 ( 0.22 ) 4.79 ( 0.08 ) 4.94 \n", + "6 100 100 0.1 1.00 0.13 0.34 ( 0.01 ) 3 ( 0.15 ) 4.75 ( 0.09 ) 3.25 \n", + " FDR MSE_mean FP_mean FN_mean method\n", + "1 0.65 0.36 3.52 4.92 lasso \n", + "2 0.42 0.31 2.71 4.40 lasso \n", + "3 0.48 0.29 5.42 1.97 lasso \n", + "4 0.44 0.28 4.91 1.57 lasso \n", + "5 0.72 0.37 4.73 4.79 lasso \n", + "6 0.57 0.34 3.00 4.75 lasso " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "block = read.csv('../results_summary/table_block_all.txt', sep='\\t')\n", + "head(block)" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "16" + ], + "text/latex": [ + "16" + ], + "text/markdown": [ + "16" + ], + "text/plain": [ + "[1] 16" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "80" + ], + "text/latex": [ + "80" + ], + "text/markdown": [ + "80" + ], + "text/plain": [ + "[1] 80" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "80" + ], + "text/latex": [ + "80" + ], + "text/markdown": [ + "80" + ], + "text/plain": [ + "[1] 80" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# how many simulation scenarios (divide by number of methods = 4)\n", + "nrow(ind)/4; nrow(toe)/4; nrow(block)/4" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Figure 1: conflict in MSE vs. Stab" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [], + "source": [ + "ind$Ratio = as.factor(ind$Ratio)\n", + "toe$Ratio = as.factor(toe$Ratio)\n", + "block$Ratio = as.factor(block$Ratio)" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [], + "source": [ + "ind_mse_fpr <- ggplot(ind, aes(x=FDR, y=MSE_mean, color=method, size=Ratio)) + geom_point(alpha=0.8) + \n", + " theme(legend.position=\"bottom\", legend.box=\"vertical\", legend.margin=margin()) +\n", + " scale_size_manual(values=c(0.1, 0.5, 1, 1.5, 2, 4, 5.5, 7.5, 8.5)) + \n", + " labs(title='Independent Correlation', x='False Positive Rate', y='MSE') + ylim(0, 4) +\n", + " theme(plot.title = element_text(hjust = 0.5, size=12, face=\"bold.italic\"), \n", + " axis.title.x = element_text(size=10, face=\"bold\"),\n", + " axis.title.y = element_text(size=10, face=\"bold\"),\n", + " panel.background = element_blank(), axis.line = element_line(colour = \"black\"),\n", + " legend.text = element_text(size = 8))\n", + "\n", + "ind_stab_fpr <- ggplot(ind, aes(x=FDR, y=Stab, color=method, size=Ratio)) + geom_point(alpha=0.8) + \n", + " theme(legend.position=\"bottom\", legend.box=\"vertical\", legend.margin=margin()) +\n", + " scale_size_manual(values=c(0.1, 0.5, 1, 1.5, 2, 4, 5.5, 7.5, 8.5)) + \n", + " labs(title='Independent Correlation', x='False Positive Rate', y='Stability') + ylim(0, 1) +\n", + " theme(plot.title = element_text(hjust = 0.5, size=12, face=\"bold.italic\"), \n", + " axis.title.x = element_text(size=10, face=\"bold\"),\n", + " axis.title.y = element_text(size=10, face=\"bold\"),\n", + " panel.background = element_blank(), axis.line = element_line(colour = \"black\"),\n", + " legend.text = element_text(size = 8))\n", + "\n", + "toe_mse_fpr <- ggplot(toe, aes(x=FDR, y=MSE_mean, color=method, size=Ratio)) + geom_point(alpha=0.3) + \n", + " theme(legend.position=\"bottom\", legend.box=\"vertical\", legend.margin=margin()) +\n", + " scale_size_manual(values=c(0.1, 0.5, 1, 1.5, 2, 4, 5.5, 7.5, 8.5)) + \n", + " labs(title='Toeplitz Correlation', x='False Positive Rate', y='MSE') + ylim(0, 4) +\n", + " theme(plot.title = element_text(hjust = 0.5, size=12, face=\"bold.italic\"), \n", + " axis.title.x = element_text(size=10, face=\"bold\"),\n", + " axis.title.y = element_text(size=10, face=\"bold\"),\n", + " panel.background = element_blank(), axis.line = element_line(colour = \"black\"),\n", + " legend.text = element_text(size = 8))\n", + "\n", + "toe_stab_fpr <- ggplot(toe, aes(x=FDR, y=Stab, color=method, size=Ratio)) + geom_point(alpha=0.3) + \n", + " theme(legend.position=\"bottom\", legend.box=\"vertical\", legend.margin=margin()) +\n", + " scale_size_manual(values=c(0.1, 0.5, 1, 1.5, 2, 4, 5.5, 7.5, 8.5)) + \n", + " labs(title='Toeplitz Correlation', x='False Positive Rate', y='Stability') + ylim(0, 1) +\n", + " theme(plot.title = element_text(hjust = 0.5, size=12, face=\"bold.italic\"), \n", + " axis.title.x = element_text(size=10, face=\"bold\"),\n", + " axis.title.y = element_text(size=10, face=\"bold\"),\n", + " panel.background = element_blank(), axis.line = element_line(colour = \"black\"),\n", + " legend.text = element_text(size = 8))\n", + " \n", + "block_mse_fpr <- ggplot(block, aes(x=FDR, y=MSE_mean, color=method, size=Ratio)) + geom_point(alpha=0.3) + \n", + " theme(legend.position=\"bottom\", legend.box=\"vertical\", legend.margin=margin()) +\n", + " scale_size_manual(values=c(0.1, 0.5, 1, 1.5, 2, 4, 5.5, 7.5, 8.5)) + \n", + " labs(title='Block Correlation', x='False Positive Rate', y='MSE') + ylim(0, 4) +\n", + " theme(plot.title = element_text(hjust = 0.5, size=12, face=\"bold.italic\"), \n", + " axis.title.x = element_text(size=10, face=\"bold\"),\n", + " axis.title.y = element_text(size=10, face=\"bold\"),\n", + " panel.background = element_blank(), axis.line = element_line(colour = \"black\"),\n", + " legend.text = element_text(size = 8))\n", + "\n", + "block_stab_fpr <- ggplot(block, aes(x=FDR, y=Stab, color=method, size=Ratio)) + geom_point(alpha=0.3) + \n", + " theme(legend.position=\"bottom\", legend.box=\"vertical\", legend.margin=margin()) +\n", + " scale_size_manual(values=c(0.1, 0.5, 1, 1.5, 2, 4, 5.5, 7.5, 8.5)) + \n", + " labs(title='Block Correlation', x='False Positive Rate', y='Stability') + ylim(0, 1) +\n", + " theme(plot.title = element_text(hjust = 0.5, size=12, face=\"bold.italic\"), \n", + " axis.title.x = element_text(size=10, face=\"bold\"),\n", + " axis.title.y = element_text(size=10, face=\"bold\"),\n", + " panel.background = element_blank(), axis.line = element_line(colour = \"black\"),\n", + " legend.text = element_text(size = 8))" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Warning message:\n", + "“Removed 4 rows containing missing values (geom_point).”Warning message:\n", + "“Removed 4 rows containing missing values (geom_point).”Warning message:\n", + "“Removed 4 rows containing missing values (geom_point).”Warning message:\n", + "“Removed 20 rows containing missing values (geom_point).”Warning message:\n", + "“Removed 20 rows containing missing values (geom_point).”Warning message:\n", + "“Removed 20 rows containing missing values (geom_point).”Warning message:\n", + "“Removed 20 rows containing missing values (geom_point).”" + ] + }, + { + "data": { + "image/png": "iVBORw0KGgoAAAANSUhEUgAAA0gAAANICAYAAAD958/bAAAEGWlDQ1BrQ0dDb2xvclNwYWNl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", + "text/plain": [ + "plot without title" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "mse_stab_fpr <- ggarrange(ind_mse_fpr, ind_stab_fpr, toe_mse_fpr, toe_stab_fpr, block_mse_fpr, block_stab_fpr, \n", + " nrow=3, ncol = 2, align = \"hv\", labels = \"AUTO\", common.legend = T, legend = \"bottom\") \n", + "mse_stab_fpr\n", + "ggsave(\"../ms_writing_figs/mse_stab_fpr_new.png\", mse_stab_fpr, dpi = 300, width = 6, height = 6)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Figure 2: MSE or Stab (which one closer to true FNRs)" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [], + "source": [ + "ind_mse_fnr <- ggplot(ind, aes(x=FN_mean/6, y=MSE_mean, color=method, size=Ratio)) + geom_point(alpha=0.8) + \n", + " theme(legend.position=\"bottom\", legend.box=\"vertical\", legend.margin=margin()) +\n", + " scale_size_manual(values=c(0.1, 0.5, 1, 1.5, 2, 4, 5.5, 7.5, 8.5)) + \n", + " labs(title='Independent Correlation', x='False Negative Rate', y='MSE') + ylim(0, 4) +\n", + " theme(plot.title = element_text(hjust = 0.5, size=12, face=\"bold.italic\"), \n", + " axis.title.x = element_text(size=10, face=\"bold\"),\n", + " axis.title.y = element_text(size=10, face=\"bold\"),\n", + " panel.background = element_blank(), axis.line = element_line(colour = \"black\"),\n", + " legend.text = element_text(size = 8))\n", + "\n", + "ind_stab_fnr <- ggplot(ind, aes(x=FN_mean/6, y=Stab, color=method, size=Ratio)) + geom_point(alpha=0.8) + \n", + " theme(legend.position=\"bottom\", legend.box=\"vertical\", legend.margin=margin()) +\n", + " scale_size_manual(values=c(0.1, 0.5, 1, 1.5, 2, 4, 5.5, 7.5, 8.5)) + \n", + " labs(title='Independent Correlation', x='False Negative Rate', y='Stability') + ylim(0, 1) +\n", + " theme(plot.title = element_text(hjust = 0.5, size=12, face=\"bold.italic\"), \n", + " axis.title.x = element_text(size=10, face=\"bold\"),\n", + " axis.title.y = element_text(size=10, face=\"bold\"),\n", + " panel.background = element_blank(), axis.line = element_line(colour = \"black\"),\n", + " legend.text = element_text(size = 8))" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [], + "source": [ + "toe_mse_fnr <- ggplot(toe, aes(x=FN_mean/6, y=MSE_mean, color=method, size=Ratio)) + geom_point(alpha=0.3) + \n", + " theme(legend.position=\"bottom\", legend.box=\"vertical\", legend.margin=margin()) +\n", + " scale_size_manual(values=c(0.1, 0.5, 1, 1.5, 2, 4, 5.5, 7.5, 8.5)) + \n", + " labs(title='Toeplitz Correlation', x='False Negative Rate', y='MSE') + ylim(0, 4) +\n", + " theme(plot.title = element_text(hjust = 0.5, size=12, face=\"bold.italic\"), \n", + " axis.title.x = element_text(size=10, face=\"bold\"),\n", + " axis.title.y = element_text(size=10, face=\"bold\"),\n", + " panel.background = element_blank(), axis.line = element_line(colour = \"black\"),\n", + " legend.text = element_text(size = 8))\n", + "\n", + "toe_stab_fnr <- ggplot(toe, aes(x=FN_mean/6, y=Stab, color=method, size=Ratio)) + geom_point(alpha=0.3) + \n", + " theme(legend.position=\"bottom\", legend.box=\"vertical\", legend.margin=margin()) +\n", + " scale_size_manual(values=c(0.1, 0.5, 1, 1.5, 2, 4, 5.5, 7.5, 8.5)) + \n", + " labs(title='Toeplitz Correlation', x='False Negative Rate', y='Stability') + ylim(0, 1) +\n", + " theme(plot.title = element_text(hjust = 0.5, size=12, face=\"bold.italic\"), \n", + " axis.title.x = element_text(size=10, face=\"bold\"),\n", + " axis.title.y = element_text(size=10, face=\"bold\"),\n", + " panel.background = element_blank(), axis.line = element_line(colour = \"black\"),\n", + " legend.text = element_text(size = 8))" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [], + "source": [ + "block_mse_fnr <- ggplot(block, aes(x=FN_mean/6, y=MSE_mean, color=method, size=Ratio)) + geom_point(alpha=0.3) + \n", + " theme(legend.position=\"bottom\", legend.box=\"vertical\", legend.margin=margin()) +\n", + " scale_size_manual(values=c(0.1, 0.5, 1, 1.5, 2, 4, 5.5, 7.5, 8.5)) + \n", + " labs(title='Block Correlation', x='False Negative Rate', y='MSE') + ylim(0, 4) +\n", + " theme(plot.title = element_text(hjust = 0.5, size=12, face=\"bold.italic\"), \n", + " axis.title.x = element_text(size=10, face=\"bold\"),\n", + " axis.title.y = element_text(size=10, face=\"bold\"),\n", + " panel.background = element_blank(), axis.line = element_line(colour = \"black\"),\n", + " legend.text = element_text(size = 8))\n", + "\n", + "block_stab_fnr <- ggplot(block, aes(x=FN_mean/6, y=Stab, color=method, size=Ratio)) + geom_point(alpha=0.3) + \n", + " theme(legend.position=\"bottom\", legend.box=\"vertical\", legend.margin=margin()) +\n", + " scale_size_manual(values=c(0.1, 0.5, 1, 1.5, 2, 4, 5.5, 7.5, 8.5)) + \n", + " labs(title='Block Correlation', x='False Negative Rate', y='Stability') + ylim(0, 1) +\n", + " theme(plot.title = element_text(hjust = 0.5, size=12, face=\"bold.italic\"), \n", + " axis.title.x = element_text(size=10, face=\"bold\"),\n", + " axis.title.y = element_text(size=10, face=\"bold\"),\n", + " panel.background = element_blank(), axis.line = element_line(colour = \"black\"),\n", + " legend.text = element_text(size = 8))" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "iVBORw0KGgoAAAANSUhEUgAAA0gAAANICAYAAAD958/bAAAEGWlDQ1BrQ0dDb2xvclNwYWNl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\nAAAAAElFTkSuQmCC", + "text/plain": [ + "plot without title" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "mse_stab_fnr <- ggarrange(ind_mse_fnr, ind_stab_fnr, toe_mse_fnr, toe_stab_fnr, block_mse_fnr, block_stab_fnr, \n", + " nrow=3, ncol = 2, align = \"hv\", labels = \"AUTO\", common.legend = T, legend = \"bottom\") \n", + "mse_stab_fnr\n", + "ggsave(\"../ms_writing_figs/mse_stab_fnr_new.png\", mse_stab_fnr, dpi = 300, width = 6, height = 6)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Figure 3: Compare methods based on Stability" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": {}, + "outputs": [], + "source": [ + "toe$N = as.factor(toe$N)\n", + "toe$P = as.factor(toe$P)\n", + "toe_sub5 = toe[toe$Corr %in% 0.5, ]\n", + "toe_sub9 = toe[toe$Corr %in% 0.9, ]\n", + "\n", + "block$N = as.factor(block$N)\n", + "block$P = as.factor(block$P)\n", + "block_sub5 = block[block$Corr %in% 0.5, ]\n", + "block_sub1 = block[block$Corr %in% 0.1, ]" + ] + }, + { + "cell_type": "code", + "execution_count": 222, + "metadata": {}, + "outputs": [], + "source": [ + "toe5_stab <- ggplot(toe_sub5, aes(fill=method, y=Stab, x=N)) + \n", + " geom_bar(position=\"dodge\", stat=\"identity\") + \n", + " ggtitle(\"Toeplitz Correlation 0.5\") + xlab(\"Number of Samples\") + ylab(\"Stability\") + \n", + " theme(plot.title = element_text(hjust = 0.5, size=12, face=\"bold.italic\"), \n", + " legend.position=\"top\", \n", + " axis.title.x = element_text(size=10, face=\"bold\"),\n", + " axis.title.y = element_text(size=10, face=\"bold\"),\n", + " axis.text.x = element_text(angle = 55)) + \n", + " facet_grid(~P, labeller = label_both)\n", + "\n", + "toe9_stab <- ggplot(toe_sub9, aes(fill=method, y=Stab, x=N)) + \n", + " geom_bar(position=\"dodge\", stat=\"identity\") + \n", + " ggtitle(\"Toeplitz Correlation 0.9\") + xlab(\"Number of Samples\") + ylab(\"Stability\") + \n", + " theme(plot.title = element_text(hjust = 0.5, size=12, face=\"bold.italic\"), \n", + " legend.position=\"top\",\n", + " axis.title.x = element_text(size=10, face=\"bold\"),\n", + " axis.title.y = element_text(size=10, face=\"bold\"),\n", + " axis.text.x = element_text(angle = 55)) + \n", + " facet_grid(~P, labeller = label_both) + ylim(0,1) \n", + "\n", + "block5_stab <- ggplot(block_sub5, aes(fill=method, y=Stab, x=N)) + \n", + " geom_bar(position=\"dodge\", stat=\"identity\") + \n", + " ggtitle(\"Block Correlation 0.5\") + xlab(\"Number of Samples\") + ylab(\"Stability\") + \n", + " theme(plot.title = element_text(hjust = 0.5, size=12, face=\"bold.italic\"), \n", + " legend.position=\"top\",\n", + " axis.title.x = element_text(size=10, face=\"bold\"),\n", + " axis.title.y = element_text(size=10, face=\"bold\"),\n", + " axis.text.x = element_text(angle = 55)) + \n", + " facet_grid(~P, labeller = label_both) + ylim(0, 1) \n", + "\n", + "block1_stab <- ggplot(block_sub1, aes(fill=method, y=Stab, x=N)) + \n", + " geom_bar(position=\"dodge\", stat=\"identity\") + \n", + " ggtitle(\"Block Correlation 0.1\") + xlab(\"Number of Samples\") + ylab(\"Stability\") + \n", + " theme(plot.title = element_text(hjust = 0.5, size=12, face=\"bold.italic\"), \n", + " legend.position=\"top\",\n", + " axis.title.x = element_text(size=10, face=\"bold\"),\n", + " axis.title.y = element_text(size=10, face=\"bold\"),\n", + " axis.text.x = element_text(angle = 55)) + \n", + " facet_grid(~P, labeller = label_both) + ylim(0, 1) " + ] + }, + { + "cell_type": "code", + "execution_count": 223, + "metadata": {}, + "outputs": [], + "source": [ + "methods_stab <- ggarrange(toe5_stab, toe9_stab, block5_stab, block1_stab, \n", + " nrow=2, ncol = 2, labels = \"AUTO\", common.legend = T, legend = \"bottom\") \n", + "ggsave(\"../ms_writing_figs/methods_stab.png\", methods_stab, dpi = 300, width = 6, height = 6)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### supplementary figure: similar results among easy correlations" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": {}, + "outputs": [], + "source": [ + "toe$N = as.factor(toe$N)\n", + "toe$P = as.factor(toe$P)\n", + "toe_sub1 = toe[toe$Corr %in% 0.1, ]\n", + "toe_sub3 = toe[toe$Corr %in% 0.3, ]\n", + "toe_sub5 = toe[toe$Corr %in% 0.5, ]\n", + "toe_sub7 = toe[toe$Corr %in% 0.7, ]\n", + "\n", + "block$N = as.factor(block$N)\n", + "block$P = as.factor(block$P)\n", + "block_sub3 = block[block$Corr %in% 0.3, ]\n", + "block_sub5 = block[block$Corr %in% 0.5, ]\n", + "block_sub7 = block[block$Corr %in% 0.7, ]\n", + "block_sub9 = block[block$Corr %in% 0.9, ]" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "metadata": {}, + "outputs": [], + "source": [ + "toe1_stab <- ggplot(toe_sub1, aes(fill=method, y=Stab, x=N)) + \n", + " geom_bar(position=\"dodge\", stat=\"identity\") + \n", + " ggtitle(\"Toeplitz Correlation 0.1\") + xlab(\"Number of Samples\") + ylab(\"Stability\") + \n", + " theme(plot.title = element_text(hjust = 0.5, size=12, face=\"bold.italic\"), \n", + " legend.position=\"top\", \n", + " axis.title.x = element_text(size=10, face=\"bold\"),\n", + " axis.title.y = element_text(size=10, face=\"bold\"),\n", + " axis.text.x = element_text(angle = 55)) + \n", + " facet_grid(~P, labeller = label_both)\n", + "\n", + "toe3_stab <- ggplot(toe_sub3, aes(fill=method, y=Stab, x=N)) + \n", + " geom_bar(position=\"dodge\", stat=\"identity\") + \n", + " ggtitle(\"Toeplitz Correlation 0.3\") + xlab(\"Number of Samples\") + ylab(\"Stability\") + \n", + " theme(plot.title = element_text(hjust = 0.3, size=12, face=\"bold.italic\"), \n", + " legend.position=\"top\", \n", + " axis.title.x = element_text(size=10, face=\"bold\"),\n", + " axis.title.y = element_text(size=10, face=\"bold\"),\n", + " axis.text.x = element_text(angle = 55)) + \n", + " facet_grid(~P, labeller = label_both)\n", + "\n", + "toe5_stab <- ggplot(toe_sub5, aes(fill=method, y=Stab, x=N)) + \n", + " geom_bar(position=\"dodge\", stat=\"identity\") + \n", + " ggtitle(\"Toeplitz Correlation 0.5\") + xlab(\"Number of Samples\") + ylab(\"Stability\") + \n", + " theme(plot.title = element_text(hjust = 0.5, size=12, face=\"bold.italic\"), \n", + " legend.position=\"top\", \n", + " axis.title.x = element_text(size=10, face=\"bold\"),\n", + " axis.title.y = element_text(size=10, face=\"bold\"),\n", + " axis.text.x = element_text(angle = 55)) + \n", + " facet_grid(~P, labeller = label_both)\n", + "\n", + "toe7_stab <- ggplot(toe_sub7, aes(fill=method, y=Stab, x=N)) + ylim(0, 1) + \n", + " geom_bar(position=\"dodge\", stat=\"identity\") + \n", + " ggtitle(\"Toeplitz Correlation 0.7\") + xlab(\"Number of Samples\") + ylab(\"Stability\") + \n", + " theme(plot.title = element_text(hjust = 0.5, size=12, face=\"bold.italic\"), \n", + " legend.position=\"top\", \n", + " axis.title.x = element_text(size=10, face=\"bold\"),\n", + " axis.title.y = element_text(size=10, face=\"bold\"),\n", + " axis.text.x = element_text(angle = 55)) + \n", + " facet_grid(~P, labeller = label_both)\n", + "\n", + "toe_easy_stab <- ggarrange(toe1_stab, toe3_stab, toe5_stab, toe7_stab, \n", + " nrow=2, ncol = 2, labels = \"AUTO\", common.legend = T, legend = \"bottom\") \n", + "ggsave(\"../ms_writing_figs/toe_easy_stab.png\", toe_easy_stab, dpi = 300, width = 6, height = 6)" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "metadata": {}, + "outputs": [], + "source": [ + "block3_stab <- ggplot(block_sub3, aes(fill=method, y=Stab, x=N)) + \n", + " geom_bar(position=\"dodge\", stat=\"identity\") + \n", + " ggtitle(\"Block Correlation 0.3\") + xlab(\"Number of Samples\") + ylab(\"Stability\") + \n", + " theme(plot.title = element_text(hjust = 0.5, size=12, face=\"bold.italic\"), \n", + " legend.position=\"top\",\n", + " axis.title.x = element_text(size=10, face=\"bold\"),\n", + " axis.title.y = element_text(size=10, face=\"bold\"),\n", + " axis.text.x = element_text(angle = 55)) + \n", + " facet_grid(~P, labeller = label_both) + ylim(0, 1) \n", + "\n", + "block5_stab <- ggplot(block_sub5, aes(fill=method, y=Stab, x=N)) + \n", + " geom_bar(position=\"dodge\", stat=\"identity\") + \n", + " ggtitle(\"Block Correlation 0.5\") + xlab(\"Number of Samples\") + ylab(\"Stability\") + \n", + " theme(plot.title = element_text(hjust = 0.5, size=12, face=\"bold.italic\"), \n", + " legend.position=\"top\",\n", + " axis.title.x = element_text(size=10, face=\"bold\"),\n", + " axis.title.y = element_text(size=10, face=\"bold\"),\n", + " axis.text.x = element_text(angle = 55)) + \n", + " facet_grid(~P, labeller = label_both) + ylim(0, 1) \n", + "\n", + "block7_stab <- ggplot(block_sub7, aes(fill=method, y=Stab, x=N)) + \n", + " geom_bar(position=\"dodge\", stat=\"identity\") + \n", + " ggtitle(\"Block Correlation 0.7\") + xlab(\"Number of Samples\") + ylab(\"Stability\") + \n", + " theme(plot.title = element_text(hjust = 0.5, size=12, face=\"bold.italic\"), \n", + " legend.position=\"top\",\n", + " axis.title.x = element_text(size=10, face=\"bold\"),\n", + " axis.title.y = element_text(size=10, face=\"bold\"),\n", + " axis.text.x = element_text(angle = 55)) + \n", + " facet_grid(~P, labeller = label_both) + ylim(0, 1) \n", + "\n", + "block9_stab <- ggplot(block_sub9, aes(fill=method, y=Stab, x=N)) + \n", + " geom_bar(position=\"dodge\", stat=\"identity\") + \n", + " ggtitle(\"Block Correlation 0.9\") + xlab(\"Number of Samples\") + ylab(\"Stability\") + \n", + " theme(plot.title = element_text(hjust = 0.5, size=12, face=\"bold.italic\"), \n", + " legend.position=\"top\",\n", + " axis.title.x = element_text(size=10, face=\"bold\"),\n", + " axis.title.y = element_text(size=10, face=\"bold\"),\n", + " axis.text.x = element_text(angle = 55)) + \n", + " facet_grid(~P, labeller = label_both) + ylim(0, 1) \n", + "\n", + "block_easy_stab <- ggarrange(block9_stab, block7_stab, block5_stab, block3_stab, \n", + " nrow=2, ncol = 2, labels = \"AUTO\", common.legend = T, legend = \"bottom\") \n", + "ggsave(\"../ms_writing_figs/block_easy_stab.png\", block_easy_stab, dpi = 300, width = 6, height = 6)" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "metadata": {}, + "outputs": [], + "source": [ + "# numerical comparison\n", + "# easier correlation (except Toe 0.9 & Block 0.1)\n", + "toe_easy = toe[!(toe$Corr %in% 0.9), ]\n", + "block_easy = block[!(block$Corr %in% 0.1), ]\n", + "toe_hard = toe[toe$Corr %in% 0.9, ]\n", + "block_hard = block[block$Corr %in% 0.1, ]" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + " Min. 1st Qu. Median Mean 3rd Qu. Max. \n", + " 0.2100 0.4250 0.7600 0.6792 0.9300 0.9700 " + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/plain": [ + " Min. 1st Qu. Median Mean 3rd Qu. Max. \n", + " 0.0900 0.2575 0.4050 0.4364 0.6225 0.8900 " + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/plain": [ + " Min. 1st Qu. Median Mean 3rd Qu. Max. \n", + " 0.0000 0.0075 0.1050 0.2353 0.3400 0.8600 " + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/plain": [ + " Min. 1st Qu. Median Mean 3rd Qu. Max. \n", + " 0.0600 0.1300 0.1650 0.1653 0.2025 0.2700 " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "summary(toe_easy[toe_easy$method %in% 'compLasso', 'Stab'])\n", + "summary(toe_easy[toe_easy$method %in% 'lasso', 'Stab'])\n", + "summary(toe_easy[toe_easy$method %in% 'rf', 'Stab'])\n", + "summary(toe_easy[toe_easy$method %in% 'elnet', 'Stab'])" + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + " Min. 1st Qu. Median Mean 3rd Qu. Max. \n", + " 0.0700 0.4200 0.8450 0.6764 0.9300 0.9800 " + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/plain": [ + " Min. 1st Qu. Median Mean 3rd Qu. Max. \n", + " 0.0600 0.2775 0.4450 0.4428 0.6350 0.8700 " + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/plain": [ + " Min. 1st Qu. Median Mean 3rd Qu. Max. \n", + " 0.0000 0.0000 0.0650 0.2111 0.2525 0.8700 " + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/plain": [ + " Min. 1st Qu. Median Mean 3rd Qu. Max. \n", + " 0.0300 0.1300 0.1600 0.1573 0.1925 0.2500 " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "summary(block_easy[block_easy$method %in% 'compLasso', 'Stab'])\n", + "summary(block_easy[block_easy$method %in% 'lasso', 'Stab'])\n", + "summary(block_easy[block_easy$method %in% 'rf', 'Stab'])\n", + "summary(block_easy[block_easy$method %in% 'elnet', 'Stab'])" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + " Min. 1st Qu. Median Mean 3rd Qu. Max. \n", + " 0.1900 0.2925 0.3450 0.4200 0.5825 0.7100 " + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/plain": [ + " Min. 1st Qu. Median Mean 3rd Qu. Max. \n", + " 0.0800 0.1950 0.2850 0.3331 0.4125 0.7600 " + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/plain": [ + " Min. 1st Qu. Median Mean 3rd Qu. Max. \n", + " 0.0400 0.0975 0.1400 0.1575 0.2150 0.2900 " + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/plain": [ + " Min. 1st Qu. Median Mean 3rd Qu. Max. \n", + " 0.0000 0.0075 0.1150 0.2350 0.2925 0.8500 " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "summary(toe_hard[toe_hard$method %in% 'compLasso', 'Stab'])\n", + "summary(toe_hard[toe_hard$method %in% 'lasso', 'Stab'])\n", + "summary(toe_hard[toe_hard$method %in% 'elnet', 'Stab'])\n", + "summary(toe_hard[toe_hard$method %in% 'rf', 'Stab'])" + ] + }, + { + "cell_type": "code", + "execution_count": 33, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + " Min. 1st Qu. Median Mean 3rd Qu. Max. \n", + " 0.0100 0.0500 0.1550 0.1875 0.3300 0.4800 " + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/plain": [ + " Min. 1st Qu. Median Mean 3rd Qu. Max. \n", + " 0.0000 0.0375 0.1200 0.1581 0.2375 0.5200 " + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/plain": [ + " Min. 1st Qu. Median Mean 3rd Qu. Max. \n", + " 0.0000 0.0000 0.0250 0.1156 0.1825 0.5200 " + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/plain": [ + " Min. 1st Qu. Median Mean 3rd Qu. Max. \n", + " 0.0000 0.0275 0.0650 0.0675 0.1075 0.1500 " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "summary(block_hard[block_hard$method %in% 'lasso', 'Stab'])\n", + "summary(block_hard[block_hard$method %in% 'compLasso', 'Stab'])\n", + "summary(block_hard[block_hard$method %in% 'rf', 'Stab'])\n", + "summary(block_hard[block_hard$method %in% 'elnet', 'Stab'])" + ] + }, + { + "cell_type": "code", + "execution_count": 60, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", + "\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\n", + "
    NPCorrRatioStabMSEFPFNnum_selectFDRMSE_meanFP_meanFN_meanmethod
    681000 50 0.9 0.05 0.76 0.27 ( 0 ) 2.71 ( 0.12 ) 0 ( 0 ) 7.71 0.20 0.27 2.71 0.00 lasso
    721000 100 0.9 0.1 0.61 0.27 ( 0 ) 4.72 ( 0.21 ) 0 ( 0 ) 9.72 0.35 0.27 4.72 0.00 lasso
    1481000 50 0.9 0.05 0.29 0.26 ( 0 ) 12.06 ( 0.52 )0 ( 0 ) 17.06 0.62 0.26 12.00 0.00 elnet
    1521000 100 0.9 0.1 0.26 0.26 ( 0 ) 16.05 ( 0.62 )0 ( 0 ) 21.05 0.69 0.26 16.00 0.00 elnet
    2281000 50 0.9 0.05 0.85 0.1 ( 0 ) 1.5 ( 0.07 ) 2.46 ( 0.06 ) 5.04 0.29 0.10 1.50 2.46 rf
    2321000 100 0.9 0.1 0.80 0.12 ( 0 ) 2.42 ( 0.11 ) 1.89 ( 0.05 ) 6.53 0.36 0.12 2.42 1.89 rf
    3081000 50 0.9 0.05 0.71 0.3 ( 0 ) 2.18 ( 0.19 ) 0 ( 0 ) 8.18 0.23 0.30 2.18 0.00 compLasso
    3121000 100 0.9 0.1 0.67 0.3 ( 0 ) 2.85 ( 0.24 ) 0 ( 0 ) 8.85 0.28 0.30 2.85 0.00 compLasso
    \n" + ], + "text/latex": [ + "\\begin{tabular}{r|llllllllllllll}\n", + " & N & P & Corr & Ratio & Stab & MSE & FP & FN & num\\_select & FDR & MSE\\_mean & FP\\_mean & FN\\_mean & method\\\\\n", + "\\hline\n", + "\t68 & 1000 & 50 & 0.9 & 0.05 & 0.76 & 0.27 ( 0 ) & 2.71 ( 0.12 ) & 0 ( 0 ) & 7.71 & 0.20 & 0.27 & 2.71 & 0.00 & lasso \\\\\n", + "\t72 & 1000 & 100 & 0.9 & 0.1 & 0.61 & 0.27 ( 0 ) & 4.72 ( 0.21 ) & 0 ( 0 ) & 9.72 & 0.35 & 0.27 & 4.72 & 0.00 & lasso \\\\\n", + "\t148 & 1000 & 50 & 0.9 & 0.05 & 0.29 & 0.26 ( 0 ) & 12.06 ( 0.52 ) & 0 ( 0 ) & 17.06 & 0.62 & 0.26 & 12.00 & 0.00 & elnet \\\\\n", + "\t152 & 1000 & 100 & 0.9 & 0.1 & 0.26 & 0.26 ( 0 ) & 16.05 ( 0.62 ) & 0 ( 0 ) & 21.05 & 0.69 & 0.26 & 16.00 & 0.00 & elnet \\\\\n", + "\t228 & 1000 & 50 & 0.9 & 0.05 & 0.85 & 0.1 ( 0 ) & 1.5 ( 0.07 ) & 2.46 ( 0.06 ) & 5.04 & 0.29 & 0.10 & 1.50 & 2.46 & rf \\\\\n", + "\t232 & 1000 & 100 & 0.9 & 0.1 & 0.80 & 0.12 ( 0 ) & 2.42 ( 0.11 ) & 1.89 ( 0.05 ) & 6.53 & 0.36 & 0.12 & 2.42 & 1.89 & rf \\\\\n", + "\t308 & 1000 & 50 & 0.9 & 0.05 & 0.71 & 0.3 ( 0 ) & 2.18 ( 0.19 ) & 0 ( 0 ) & 8.18 & 0.23 & 0.30 & 2.18 & 0.00 & compLasso \\\\\n", + "\t312 & 1000 & 100 & 0.9 & 0.1 & 0.67 & 0.3 ( 0 ) & 2.85 ( 0.24 ) & 0 ( 0 ) & 8.85 & 0.28 & 0.30 & 2.85 & 0.00 & compLasso \\\\\n", + "\\end{tabular}\n" + ], + "text/markdown": [ + "\n", + "| | N | P | Corr | Ratio | Stab | MSE | FP | FN | num_select | FDR | MSE_mean | FP_mean | FN_mean | method |\n", + "|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n", + "| 68 | 1000 | 50 | 0.9 | 0.05 | 0.76 | 0.27 ( 0 ) | 2.71 ( 0.12 ) | 0 ( 0 ) | 7.71 | 0.20 | 0.27 | 2.71 | 0.00 | lasso |\n", + "| 72 | 1000 | 100 | 0.9 | 0.1 | 0.61 | 0.27 ( 0 ) | 4.72 ( 0.21 ) | 0 ( 0 ) | 9.72 | 0.35 | 0.27 | 4.72 | 0.00 | lasso |\n", + "| 148 | 1000 | 50 | 0.9 | 0.05 | 0.29 | 0.26 ( 0 ) | 12.06 ( 0.52 ) | 0 ( 0 ) | 17.06 | 0.62 | 0.26 | 12.00 | 0.00 | elnet |\n", + "| 152 | 1000 | 100 | 0.9 | 0.1 | 0.26 | 0.26 ( 0 ) | 16.05 ( 0.62 ) | 0 ( 0 ) | 21.05 | 0.69 | 0.26 | 16.00 | 0.00 | elnet |\n", + "| 228 | 1000 | 50 | 0.9 | 0.05 | 0.85 | 0.1 ( 0 ) | 1.5 ( 0.07 ) | 2.46 ( 0.06 ) | 5.04 | 0.29 | 0.10 | 1.50 | 2.46 | rf |\n", + "| 232 | 1000 | 100 | 0.9 | 0.1 | 0.80 | 0.12 ( 0 ) | 2.42 ( 0.11 ) | 1.89 ( 0.05 ) | 6.53 | 0.36 | 0.12 | 2.42 | 1.89 | rf |\n", + "| 308 | 1000 | 50 | 0.9 | 0.05 | 0.71 | 0.3 ( 0 ) | 2.18 ( 0.19 ) | 0 ( 0 ) | 8.18 | 0.23 | 0.30 | 2.18 | 0.00 | compLasso |\n", + "| 312 | 1000 | 100 | 0.9 | 0.1 | 0.67 | 0.3 ( 0 ) | 2.85 ( 0.24 ) | 0 ( 0 ) | 8.85 | 0.28 | 0.30 | 2.85 | 0.00 | compLasso |\n", + "\n" + ], + "text/plain": [ + " N P Corr Ratio Stab MSE FP FN num_select\n", + "68 1000 50 0.9 0.05 0.76 0.27 ( 0 ) 2.71 ( 0.12 ) 0 ( 0 ) 7.71 \n", + "72 1000 100 0.9 0.1 0.61 0.27 ( 0 ) 4.72 ( 0.21 ) 0 ( 0 ) 9.72 \n", + "148 1000 50 0.9 0.05 0.29 0.26 ( 0 ) 12.06 ( 0.52 ) 0 ( 0 ) 17.06 \n", + "152 1000 100 0.9 0.1 0.26 0.26 ( 0 ) 16.05 ( 0.62 ) 0 ( 0 ) 21.05 \n", + "228 1000 50 0.9 0.05 0.85 0.1 ( 0 ) 1.5 ( 0.07 ) 2.46 ( 0.06 ) 5.04 \n", + "232 1000 100 0.9 0.1 0.80 0.12 ( 0 ) 2.42 ( 0.11 ) 1.89 ( 0.05 ) 6.53 \n", + "308 1000 50 0.9 0.05 0.71 0.3 ( 0 ) 2.18 ( 0.19 ) 0 ( 0 ) 8.18 \n", + "312 1000 100 0.9 0.1 0.67 0.3 ( 0 ) 2.85 ( 0.24 ) 0 ( 0 ) 8.85 \n", + " FDR MSE_mean FP_mean FN_mean method \n", + "68 0.20 0.27 2.71 0.00 lasso \n", + "72 0.35 0.27 4.72 0.00 lasso \n", + "148 0.62 0.26 12.00 0.00 elnet \n", + "152 0.69 0.26 16.00 0.00 elnet \n", + "228 0.29 0.10 1.50 2.46 rf \n", + "232 0.36 0.12 2.42 1.89 rf \n", + "308 0.23 0.30 2.18 0.00 compLasso\n", + "312 0.28 0.30 2.85 0.00 compLasso" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "toe_hard[toe_hard$P %in% c(50, 100) & toe_hard$N %in% 1000, ]\n", + "# when N = 50, compLasso highest of 0.32 \n", + "# when N = 100, Lasso highest of 0.38\n", + "# when N = 500, compLasso highest of 0.67" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Figure 4: pitfall of using MSE for method comparisons" + ] + }, + { + "cell_type": "code", + "execution_count": 61, + "metadata": {}, + "outputs": [], + "source": [ + "toe9_mse <- ggplot(toe_sub9, aes(fill=method, y=MSE_mean, x=N)) + \n", + " geom_bar(position=\"dodge\", stat=\"identity\") + \n", + " ggtitle(\"Toeplitz Correlation 0.9\") + xlab('') + ylab(\"MSE\") + \n", + " theme(plot.title = element_text(hjust = 0.5, size=12, face=\"bold.italic\"), \n", + " legend.position=\"top\",\n", + " axis.title.x = element_text(size=10, face=\"bold\"),\n", + " axis.title.y = element_text(size=10, face=\"bold\"),\n", + " axis.text.x = element_text(angle = 55)) + \n", + " facet_grid(~P, labeller = label_both) + ylim(0, 1)\n", + "\n", + "block1_mse <- ggplot(block_sub1, aes(fill=method, y=MSE_mean, x=N)) + \n", + " geom_bar(position=\"dodge\", stat=\"identity\") + \n", + " xlab('') + ggtitle(\"Block Correlation 0.1\") + ylab(\"MSE\") + \n", + " theme(plot.title = element_text(hjust = 0.5, size=12, face=\"bold.italic\"), \n", + " legend.position=\"top\",\n", + " axis.title.x = element_text(size=10, face=\"bold\"),\n", + " axis.title.y = element_text(size=10, face=\"bold\"),\n", + " axis.text.x = element_text(angle = 55)) + \n", + " facet_grid(~P, labeller = label_both) + ylim(0, 1) \n", + "\n", + "toe9_FN <- ggplot(toe_sub9, aes(fill=method, y=FN_mean, x=N)) + \n", + " geom_bar(position=\"dodge\", stat=\"identity\") + \n", + " xlab('') + ylab(\"False Negatives\") + \n", + " theme(plot.title = element_text(hjust = 0.5, size=12, face=\"bold.italic\"), \n", + " legend.position=\"top\",\n", + " axis.title.x = element_text(size=10, face=\"bold\"),\n", + " axis.title.y = element_text(size=10, face=\"bold\"),\n", + " axis.text.x = element_text(angle = 55)) + \n", + " facet_grid(~P, labeller = label_both) \n", + "\n", + "block1_FN <- ggplot(block_sub1, aes(fill=method, y=FN_mean, x=N)) + \n", + " geom_bar(position=\"dodge\", stat=\"identity\") + \n", + " xlab('') + ylab(\"False Negatives\") + \n", + " theme(plot.title = element_text(hjust = 0.5, size=12, face=\"bold.italic\"), \n", + " legend.position=\"top\",\n", + " axis.title.x = element_text(size=10, face=\"bold\"),\n", + " axis.title.y = element_text(size=10, face=\"bold\"),\n", + " axis.text.x = element_text(angle = 55)) + \n", + " facet_grid(~P, labeller = label_both) + ylim(0, 6)\n", + "\n", + "toe9_FP <- ggplot(toe_sub9, aes(fill=method, y=FP_mean, x=N)) + \n", + " geom_bar(position=\"dodge\", stat=\"identity\") + \n", + " xlab(\"Number of Samples\") + ylab(\"False Positives\") + \n", + " theme(plot.title = element_text(hjust = 0.5, size=12, face=\"bold.italic\"), \n", + " legend.position=\"top\",\n", + " axis.title.x = element_text(size=10, face=\"bold\"),\n", + " axis.title.y = element_text(size=10, face=\"bold\"),\n", + " axis.text.x = element_text(angle = 55)) + \n", + " facet_grid(~P, labeller = label_both) + ylim(0, 72)\n", + "\n", + "block1_FP <- ggplot(block_sub1, aes(fill=method, y=FP_mean, x=N)) + \n", + " geom_bar(position=\"dodge\", stat=\"identity\") + \n", + " xlab(\"Number of Samples\") + ylab(\"False Positives\") + \n", + " theme(plot.title = element_text(hjust = 0.5, size=12, face=\"bold.italic\"), \n", + " legend.position=\"top\",\n", + " axis.title.x = element_text(size=10, face=\"bold\"),\n", + " axis.title.y = element_text(size=10, face=\"bold\"),\n", + " axis.text.x = element_text(angle = 55)) + \n", + " facet_grid(~P, labeller = label_both) + ylim(0, 72)" + ] + }, + { + "cell_type": "code", + "execution_count": 252, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Warning message:\n", + "“Removed 1 rows containing missing values (geom_bar).”Warning message:\n", + "“Removed 1 rows containing missing values (geom_bar).”" + ] + } + ], + "source": [ + "methods_mse <- ggarrange(toe9_mse, block1_mse, toe9_FN, block1_FN,toe9_FP, block1_FP, \n", + " nrow=3, ncol = 2, labels = \"AUTO\", common.legend = T, legend = \"bottom\") \n", + "ggsave(\"../ms_writing_figs/methods_mse.png\", methods_mse, dpi = 300, width = 6, height = 7)" + ] + }, + { + "cell_type": "code", + "execution_count": 65, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + " Min. 1st Qu. Median Mean 3rd Qu. Max. \n", + " 0.1000 0.2700 0.3000 0.3906 0.5325 1.0400 " + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/plain": [ + " Min. 1st Qu. Median Mean 3rd Qu. Max. \n", + " 0.0500 0.2150 0.3000 0.2622 0.3525 0.4100 " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "summary(toe_sub9$MSE_mean)\n", + "summary(block_sub1$MSE_mean)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### use alternative false positive rate or false negative rate" + ] + }, + { + "cell_type": "code", + "execution_count": 44, + "metadata": {}, + "outputs": [], + "source": [ + "toe9_mse <- ggplot(toe_sub9, aes(fill=method, y=MSE_mean, x=N)) + \n", + " geom_bar(position=\"dodge\", stat=\"identity\") + \n", + " ggtitle(\"Toeplitz Correlation 0.9\") + xlab('') + ylab(\"MSE\") + \n", + " theme(plot.title = element_text(hjust = 0.5, size=12, face=\"bold.italic\"), \n", + " legend.position=\"top\",\n", + " axis.title.x = element_text(size=10, face=\"bold\"),\n", + " axis.title.y = element_text(size=10, face=\"bold\"),\n", + " axis.text.x = element_text(angle = 55)) + \n", + " facet_grid(~P, labeller = label_both) + ylim(0, 1)\n", + "\n", + "block1_mse <- ggplot(block_sub1, aes(fill=method, y=MSE_mean, x=N)) + \n", + " geom_bar(position=\"dodge\", stat=\"identity\") + \n", + " xlab('') + ggtitle(\"Block Correlation 0.1\") + ylab(\"MSE\") + \n", + " theme(plot.title = element_text(hjust = 0.5, size=12, face=\"bold.italic\"), \n", + " legend.position=\"top\",\n", + " axis.title.x = element_text(size=10, face=\"bold\"),\n", + " axis.title.y = element_text(size=10, face=\"bold\"),\n", + " axis.text.x = element_text(angle = 55)) + \n", + " facet_grid(~P, labeller = label_both) + ylim(0, 1) \n", + "\n", + "toe9_FNR <- ggplot(toe_sub9, aes(fill=method, y=FN_mean/6, x=N)) + \n", + " geom_bar(position=\"dodge\", stat=\"identity\") + \n", + " xlab('') + ylab(\"False Negative Rate\") + \n", + " theme(plot.title = element_text(hjust = 0.5, size=12, face=\"bold.italic\"), \n", + " legend.position=\"top\",\n", + " axis.title.x = element_text(size=10, face=\"bold\"),\n", + " axis.title.y = element_text(size=10, face=\"bold\"),\n", + " axis.text.x = element_text(angle = 55)) + \n", + " facet_grid(~P, labeller = label_both) \n", + "\n", + "block1_FNR <- ggplot(block_sub1, aes(fill=method, y=FN_mean/6, x=N)) + \n", + " geom_bar(position=\"dodge\", stat=\"identity\") + \n", + " xlab('') + ylab(\"False Negative Rate\") + \n", + " theme(plot.title = element_text(hjust = 0.5, size=12, face=\"bold.italic\"), \n", + " legend.position=\"top\",\n", + " axis.title.x = element_text(size=10, face=\"bold\"),\n", + " axis.title.y = element_text(size=10, face=\"bold\"),\n", + " axis.text.x = element_text(angle = 55)) + \n", + " facet_grid(~P, labeller = label_both) \n", + "\n", + "toe9_FPR <- ggplot(toe_sub9, aes(fill=method, y=FP_mean/num_select, x=N)) + \n", + " geom_bar(position=\"dodge\", stat=\"identity\") + \n", + " xlab(\"Number of Samples\") + ylab(\"False Positive Rate\") + \n", + " theme(plot.title = element_text(hjust = 0.5, size=12, face=\"bold.italic\"), \n", + " legend.position=\"top\",\n", + " axis.title.x = element_text(size=10, face=\"bold\"),\n", + " axis.title.y = element_text(size=10, face=\"bold\"),\n", + " axis.text.x = element_text(angle = 55)) + \n", + " facet_grid(~P, labeller = label_both) \n", + "\n", + "block1_FPR <- ggplot(block_sub1, aes(fill=method, y=FP_mean/num_select, x=N)) + \n", + " geom_bar(position=\"dodge\", stat=\"identity\") + \n", + " xlab(\"Number of Samples\") + ylab(\"False Positive Rate\") + \n", + " theme(plot.title = element_text(hjust = 0.5, size=12, face=\"bold.italic\"), \n", + " legend.position=\"top\",\n", + " axis.title.x = element_text(size=10, face=\"bold\"),\n", + " axis.title.y = element_text(size=10, face=\"bold\"),\n", + " axis.text.x = element_text(angle = 55)) + \n", + " facet_grid(~P, labeller = label_both) \n" + ] + }, + { + "cell_type": "code", + "execution_count": 47, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Warning message:\n", + "“Removed 1 rows containing missing values (geom_bar).”Warning message:\n", + "“Removed 1 rows containing missing values (geom_bar).”Warning message:\n", + "“Removed 4 rows containing missing values (geom_bar).”Warning message:\n", + "“Removed 4 rows containing missing values (geom_bar).”" + ] + } + ], + "source": [ + "methods_mse_rate <- ggarrange(toe9_mse, block1_mse, toe9_FNR, block1_FNR, toe9_FPR, block1_FPR, \n", + " nrow=3, ncol = 2, labels = \"AUTO\", common.legend = T, legend = \"bottom\") \n", + "ggsave(\"../ms_writing_figs/methods_mse_rate.png\", methods_mse_rate, dpi = 300, width = 6, height = 7)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### updated calculation of False positive rate" + ] + }, + { + "cell_type": "code", + "execution_count": 47, + "metadata": {}, + "outputs": [], + "source": [ + "toe9_mse <- ggplot(toe_sub9, aes(fill=method, y=MSE_mean, x=N)) + \n", + " geom_bar(position=\"dodge\", stat=\"identity\") + \n", + " ggtitle(\"Toeplitz Correlation 0.9\") + xlab('') + ylab(\"MSE\") + \n", + " theme(plot.title = element_text(hjust = 0.5, size=12, face=\"bold.italic\"), \n", + " legend.position=\"top\",\n", + " axis.title.x = element_text(size=10, face=\"bold\"),\n", + " axis.title.y = element_text(size=10, face=\"bold\"),\n", + " axis.text.x = element_text(angle = 55)) + \n", + " facet_grid(~P, labeller = label_both) + ylim(0, 1.05)\n", + "\n", + "block1_mse <- ggplot(block_sub1, aes(fill=method, y=MSE_mean, x=N)) + \n", + " geom_bar(position=\"dodge\", stat=\"identity\") + \n", + " xlab('') + ggtitle(\"Block Correlation 0.1\") + ylab(\"MSE\") + \n", + " theme(plot.title = element_text(hjust = 0.5, size=12, face=\"bold.italic\"), \n", + " legend.position=\"top\",\n", + " axis.title.x = element_text(size=10, face=\"bold\"),\n", + " axis.title.y = element_text(size=10, face=\"bold\"),\n", + " axis.text.x = element_text(angle = 55)) + \n", + " facet_grid(~P, labeller = label_both) + ylim(0, 1.05) \n", + "\n", + "toe9_FNR <- ggplot(toe_sub9, aes(fill=method, y=FN_mean/6, x=N)) + \n", + " geom_bar(position=\"dodge\", stat=\"identity\") + \n", + " xlab('') + ylab(\"False Negative Rate\") + \n", + " theme(plot.title = element_text(hjust = 0.5, size=12, face=\"bold.italic\"), \n", + " legend.position=\"top\",\n", + " axis.title.x = element_text(size=10, face=\"bold\"),\n", + " axis.title.y = element_text(size=10, face=\"bold\"),\n", + " axis.text.x = element_text(angle = 55)) + \n", + " facet_grid(~P, labeller = label_both) \n", + "\n", + "block1_FNR <- ggplot(block_sub1, aes(fill=method, y=FN_mean/6, x=N)) + \n", + " geom_bar(position=\"dodge\", stat=\"identity\") + \n", + " xlab('') + ylab(\"False Negative Rate\") + \n", + " theme(plot.title = element_text(hjust = 0.5, size=12, face=\"bold.italic\"), \n", + " legend.position=\"top\",\n", + " axis.title.x = element_text(size=10, face=\"bold\"),\n", + " axis.title.y = element_text(size=10, face=\"bold\"),\n", + " axis.text.x = element_text(angle = 55)) + \n", + " facet_grid(~P, labeller = label_both) \n", + "\n", + "toe9_FPR <- ggplot(toe_sub9, aes(fill=method, y=FDR, x=N)) + \n", + " geom_bar(position=\"dodge\", stat=\"identity\") + \n", + " xlab(\"Number of Samples\") + ylab(\"False Positive Rate\") + \n", + " theme(plot.title = element_text(hjust = 0.5, size=12, face=\"bold.italic\"), \n", + " legend.position=\"top\",\n", + " axis.title.x = element_text(size=10, face=\"bold\"),\n", + " axis.title.y = element_text(size=10, face=\"bold\"),\n", + " axis.text.x = element_text(angle = 55)) + \n", + " facet_grid(~P, labeller = label_both) \n", + "\n", + "block1_FPR <- ggplot(block_sub1, aes(fill=method, y=FDR, x=N)) + \n", + " geom_bar(position=\"dodge\", stat=\"identity\") + \n", + " xlab(\"Number of Samples\") + ylab(\"False Positive Rate\") + \n", + " theme(plot.title = element_text(hjust = 0.5, size=12, face=\"bold.italic\"), \n", + " legend.position=\"top\",\n", + " axis.title.x = element_text(size=10, face=\"bold\"),\n", + " axis.title.y = element_text(size=10, face=\"bold\"),\n", + " axis.text.x = element_text(angle = 55)) + \n", + " facet_grid(~P, labeller = label_both) \n" + ] + }, + { + "cell_type": "code", + "execution_count": 48, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Warning message:\n", + "“Removed 4 rows containing missing values (geom_bar).”Warning message:\n", + "“Removed 4 rows containing missing values (geom_bar).”" + ] + } + ], + "source": [ + "methods_mse_rate <- ggarrange(toe9_mse, block1_mse, toe9_FNR, block1_FNR, toe9_FPR, block1_FPR, \n", + " nrow=3, ncol = 2, labels = \"AUTO\", common.legend = T, legend = \"bottom\") \n", + "ggsave(\"../ms_writing_figs/methods_mse_rate_new.png\", methods_mse_rate, dpi = 300, width = 6, height = 7)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "R", + "language": "R", + "name": "ir" + }, + "language_info": { + "codemirror_mode": "r", + "file_extension": ".r", + "mimetype": "text/x-r-source", + "name": "R", + "pygments_lexer": "r", + "version": "3.6.1" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/simulations/notebooks_simulations/sim_block_compLasso.ipynb b/simulations/notebooks_simulations/sim_block_compLasso.ipynb new file mode 100644 index 0000000..1f83e33 --- /dev/null +++ b/simulations/notebooks_simulations/sim_block_compLasso.ipynb @@ -0,0 +1,899 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "load('../sim_data/block_compLasso.RData')" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "dir = '../sim_data'\n", + "dim.list = list()\n", + "size = c(50, 100, 500, 1000)\n", + "idx = 0\n", + "for (P in size){\n", + " for (N in size){\n", + " idx = idx + 1\n", + " dim.list[[idx]] = c(P=P, N=N)\n", + " }\n", + "}\n", + "\n", + "rou.list = seq(0.1, 0.9, 0.2)\n", + "\n", + "files = NULL\n", + "for (rou in rou.list){\n", + " for (dim in dim.list){\n", + " p = dim[1]\n", + " n = dim[2]\n", + " files = cbind(files, paste0(dir, '/sim_block_corr', rou, paste('P', p, 'N', n, sep='_'), '.RData', sep=''))\n", + " }\n", + "}" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "avg_FDR = NULL\n", + "for (i in 1:length(files)){\n", + " sim_file = files[i]\n", + " load(sim_file, dat <- new.env())\n", + " sub = dat$sim_array[[i]]\n", + " p = sub$p # take true values from 1st replicate of each simulated data\n", + " coef = sub$beta\n", + " coef.true = which(coef != 0)\n", + " \n", + " tt = results_block_compLasso[[i]]$Stab.table\n", + " \n", + " FDR = NULL\n", + " for (r in 1:nrow(tt)){\n", + " FDR = c(FDR, length(setdiff(which(tt[r, ] !=0), coef.true))/sum(tt[r, ]))\n", + "\n", + " }\n", + " \n", + " avg_FDR = c(avg_FDR, mean(FDR, na.rm=T))\n", + "}" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "table_block = NULL\n", + "tmp_num_select = rep(0, length(results_block_compLasso))\n", + "for (i in 1:length(results_block_compLasso)){\n", + " table_block = rbind(table_block, results_block_compLasso[[i]][c('n', 'p', 'rou', 'FP', 'FN', 'MSE', 'Stab')])\n", + " tmp_num_select[i] = mean(rowSums(results_block_compLasso[[i]]$Stab.table))\n", + " \n", + "}\n", + "table_block = as.data.frame(table_block)\n", + "table_block$num_select = tmp_num_select\n", + "table_block$FDR = round(avg_FDR,2)" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", + "\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\n", + "
    nprouFPFNMSEStabnum_selectFDR
    50 50 0.1 2.8 ( 0.36 ) 5.01 ( 0.09 )0.36 ( 0.01 )0.03 3.79 0.62
    100 50 0.1 4.96 ( 0.55 )3.77 ( 0.14 )0.32 ( 0.01 )0.1 7.19 0.55
    500 50 0.1 8.81 ( 0.4 ) 0.78 ( 0.08 )0.28 ( 0 ) 0.26 14.03 0.60
    1000 50 0.1 8.37 ( 0.37 )0.24 ( 0.06 )0.27 ( 0 ) 0.31 14.13 0.56
    50 100 0.1 2.54 ( 0.37 )5.22 ( 0.08 )0.37 ( 0.02 )0.04 3.32 0.63
    100 100 0.1 3.99 ( 0.57 )4.63 ( 0.1 ) 0.35 ( 0.01 )0.07 5.36 0.56
    \n" + ], + "text/latex": [ + "\\begin{tabular}{r|lllllllll}\n", + " n & p & rou & FP & FN & MSE & Stab & num\\_select & FDR\\\\\n", + "\\hline\n", + "\t 50 & 50 & 0.1 & 2.8 ( 0.36 ) & 5.01 ( 0.09 ) & 0.36 ( 0.01 ) & 0.03 & 3.79 & 0.62 \\\\\n", + "\t 100 & 50 & 0.1 & 4.96 ( 0.55 ) & 3.77 ( 0.14 ) & 0.32 ( 0.01 ) & 0.1 & 7.19 & 0.55 \\\\\n", + "\t 500 & 50 & 0.1 & 8.81 ( 0.4 ) & 0.78 ( 0.08 ) & 0.28 ( 0 ) & 0.26 & 14.03 & 0.60 \\\\\n", + "\t 1000 & 50 & 0.1 & 8.37 ( 0.37 ) & 0.24 ( 0.06 ) & 0.27 ( 0 ) & 0.31 & 14.13 & 0.56 \\\\\n", + "\t 50 & 100 & 0.1 & 2.54 ( 0.37 ) & 5.22 ( 0.08 ) & 0.37 ( 0.02 ) & 0.04 & 3.32 & 0.63 \\\\\n", + "\t 100 & 100 & 0.1 & 3.99 ( 0.57 ) & 4.63 ( 0.1 ) & 0.35 ( 0.01 ) & 0.07 & 5.36 & 0.56 \\\\\n", + "\\end{tabular}\n" + ], + "text/markdown": [ + "\n", + "| n | p | rou | FP | FN | MSE | Stab | num_select | FDR |\n", + "|---|---|---|---|---|---|---|---|---|\n", + "| 50 | 50 | 0.1 | 2.8 ( 0.36 ) | 5.01 ( 0.09 ) | 0.36 ( 0.01 ) | 0.03 | 3.79 | 0.62 |\n", + "| 100 | 50 | 0.1 | 4.96 ( 0.55 ) | 3.77 ( 0.14 ) | 0.32 ( 0.01 ) | 0.1 | 7.19 | 0.55 |\n", + "| 500 | 50 | 0.1 | 8.81 ( 0.4 ) | 0.78 ( 0.08 ) | 0.28 ( 0 ) | 0.26 | 14.03 | 0.60 |\n", + "| 1000 | 50 | 0.1 | 8.37 ( 0.37 ) | 0.24 ( 0.06 ) | 0.27 ( 0 ) | 0.31 | 14.13 | 0.56 |\n", + "| 50 | 100 | 0.1 | 2.54 ( 0.37 ) | 5.22 ( 0.08 ) | 0.37 ( 0.02 ) | 0.04 | 3.32 | 0.63 |\n", + "| 100 | 100 | 0.1 | 3.99 ( 0.57 ) | 4.63 ( 0.1 ) | 0.35 ( 0.01 ) | 0.07 | 5.36 | 0.56 |\n", + "\n" + ], + "text/plain": [ + " n p rou FP FN MSE Stab num_select FDR \n", + "1 50 50 0.1 2.8 ( 0.36 ) 5.01 ( 0.09 ) 0.36 ( 0.01 ) 0.03 3.79 0.62\n", + "2 100 50 0.1 4.96 ( 0.55 ) 3.77 ( 0.14 ) 0.32 ( 0.01 ) 0.1 7.19 0.55\n", + "3 500 50 0.1 8.81 ( 0.4 ) 0.78 ( 0.08 ) 0.28 ( 0 ) 0.26 14.03 0.60\n", + "4 1000 50 0.1 8.37 ( 0.37 ) 0.24 ( 0.06 ) 0.27 ( 0 ) 0.31 14.13 0.56\n", + "5 50 100 0.1 2.54 ( 0.37 ) 5.22 ( 0.08 ) 0.37 ( 0.02 ) 0.04 3.32 0.63\n", + "6 100 100 0.1 3.99 ( 0.57 ) 4.63 ( 0.1 ) 0.35 ( 0.01 ) 0.07 5.36 0.56" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "head(table_block)" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "extract_numeric() is deprecated: please use readr::parse_number() instead\n", + "extract_numeric() is deprecated: please use readr::parse_number() instead\n" + ] + } + ], + "source": [ + "# export result\n", + "result.table_block <- apply(table_block,2,as.character)\n", + "rownames(result.table_block) = rownames(table_block)\n", + "result.table_block = as.data.frame(result.table_block)\n", + "\n", + "# extract numbers only for 'n' & 'p'\n", + "result.table_block$n = tidyr::extract_numeric(result.table_block$n)\n", + "result.table_block$p = tidyr::extract_numeric(result.table_block$p)\n", + "result.table_block$ratio = result.table_block$p / result.table_block$n\n", + "\n", + "result.table_block = result.table_block[c('n', 'p', 'rou', 'ratio', 'Stab', 'MSE', 'FP', 'FN', 'num_select', 'FDR')]\n", + "colnames(result.table_block)[1:4] = c('N', 'P', 'Corr', 'Ratio')" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Warning message in eval(expr, envir, enclos):\n", + "“NAs introduced by coercion”Warning message in eval(expr, envir, enclos):\n", + "“NAs introduced by coercion”Warning message in eval(expr, envir, enclos):\n", + "“NAs introduced by coercion”" + ] + } + ], + "source": [ + "# convert interested measurements to be numeric\n", + "result.table_block$Stab = as.numeric(as.character(result.table_block$Stab))\n", + "result.table_block$MSE_mean = as.numeric(substr(result.table_block$MSE, start=1, stop=4))\n", + "result.table_block$FP_mean = as.numeric(substr(result.table_block$FP, start=1, stop=4))\n", + "result.table_block$FN_mean = as.numeric(substr(result.table_block$FN, start=1, stop=4))\n", + "result.table_block$FN_mean[is.na(result.table_block$FN_mean)] = 0\n", + "result.table_block$num_select = as.numeric(as.character(result.table_block$num_select))" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", + "\n", + "\t\n", + "\t\n", + "\t\n", + "\n", + "
    NPCorrRatioStabMSEFPFNnum_selectFDRMSE_meanFP_meanFN_mean
    21 50 100 0.3 2.0 0.27 0.94 ( 0.05 )6 ( 0.34 ) 1.93 ( 0.14 )10.07 0.54 0.94 NA 1.93
    26100 500 0.3 5.0 0.30 0.73 ( 0.03 )9 ( 0.76 ) 0.99 ( 0.12 )14.01 0.52 0.73 NA 0.99
    51500 50 0.7 0.1 0.90 1 ( 0.04 ) 0.58 ( 0.19 )0 ( 0 ) 6.58 0.06 NA 0.58 0.00
    \n" + ], + "text/latex": [ + "\\begin{tabular}{r|lllllllllllll}\n", + " & N & P & Corr & Ratio & Stab & MSE & FP & FN & num\\_select & FDR & MSE\\_mean & FP\\_mean & FN\\_mean\\\\\n", + "\\hline\n", + "\t21 & 50 & 100 & 0.3 & 2.0 & 0.27 & 0.94 ( 0.05 ) & 6 ( 0.34 ) & 1.93 ( 0.14 ) & 10.07 & 0.54 & 0.94 & NA & 1.93 \\\\\n", + "\t26 & 100 & 500 & 0.3 & 5.0 & 0.30 & 0.73 ( 0.03 ) & 9 ( 0.76 ) & 0.99 ( 0.12 ) & 14.01 & 0.52 & 0.73 & NA & 0.99 \\\\\n", + "\t51 & 500 & 50 & 0.7 & 0.1 & 0.90 & 1 ( 0.04 ) & 0.58 ( 0.19 ) & 0 ( 0 ) & 6.58 & 0.06 & NA & 0.58 & 0.00 \\\\\n", + "\\end{tabular}\n" + ], + "text/markdown": [ + "\n", + "| | N | P | Corr | Ratio | Stab | MSE | FP | FN | num_select | FDR | MSE_mean | FP_mean | FN_mean |\n", + "|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n", + "| 21 | 50 | 100 | 0.3 | 2.0 | 0.27 | 0.94 ( 0.05 ) | 6 ( 0.34 ) | 1.93 ( 0.14 ) | 10.07 | 0.54 | 0.94 | NA | 1.93 |\n", + "| 26 | 100 | 500 | 0.3 | 5.0 | 0.30 | 0.73 ( 0.03 ) | 9 ( 0.76 ) | 0.99 ( 0.12 ) | 14.01 | 0.52 | 0.73 | NA | 0.99 |\n", + "| 51 | 500 | 50 | 0.7 | 0.1 | 0.90 | 1 ( 0.04 ) | 0.58 ( 0.19 ) | 0 ( 0 ) | 6.58 | 0.06 | NA | 0.58 | 0.00 |\n", + "\n" + ], + "text/plain": [ + " N P Corr Ratio Stab MSE FP FN num_select\n", + "21 50 100 0.3 2.0 0.27 0.94 ( 0.05 ) 6 ( 0.34 ) 1.93 ( 0.14 ) 10.07 \n", + "26 100 500 0.3 5.0 0.30 0.73 ( 0.03 ) 9 ( 0.76 ) 0.99 ( 0.12 ) 14.01 \n", + "51 500 50 0.7 0.1 0.90 1 ( 0.04 ) 0.58 ( 0.19 ) 0 ( 0 ) 6.58 \n", + " FDR MSE_mean FP_mean FN_mean\n", + "21 0.54 0.94 NA 1.93 \n", + "26 0.52 0.73 NA 0.99 \n", + "51 0.06 NA 0.58 0.00 " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# check whether missing values exists\n", + "result.table_block[rowSums(is.na(result.table_block)) > 0,]" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [], + "source": [ + "# recover values\n", + "result.table_block$FP_mean[is.na(result.table_block$FP_mean)] = 6\n", + "result.table_block$MSE_mean[is.na(result.table_block$MSE_mean)] = 1" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", + "\n", + "\t\n", + "\t\n", + "\t\n", + "\n", + "
    NPCorrRatioStabMSEFPFNnum_selectFDRMSE_meanFP_meanFN_mean
    21 50 100 0.3 2.0 0.27 0.94 ( 0.05 )6 ( 0.34 ) 1.93 ( 0.14 )10.07 0.54 0.94 6.00 1.93
    26100 500 0.3 5.0 0.30 0.73 ( 0.03 )9 ( 0.76 ) 0.99 ( 0.12 )14.01 0.52 0.73 6.00 0.99
    51500 50 0.7 0.1 0.90 1 ( 0.04 ) 0.58 ( 0.19 )0 ( 0 ) 6.58 0.06 1.00 0.58 0.00
    \n" + ], + "text/latex": [ + "\\begin{tabular}{r|lllllllllllll}\n", + " & N & P & Corr & Ratio & Stab & MSE & FP & FN & num\\_select & FDR & MSE\\_mean & FP\\_mean & FN\\_mean\\\\\n", + "\\hline\n", + "\t21 & 50 & 100 & 0.3 & 2.0 & 0.27 & 0.94 ( 0.05 ) & 6 ( 0.34 ) & 1.93 ( 0.14 ) & 10.07 & 0.54 & 0.94 & 6.00 & 1.93 \\\\\n", + "\t26 & 100 & 500 & 0.3 & 5.0 & 0.30 & 0.73 ( 0.03 ) & 9 ( 0.76 ) & 0.99 ( 0.12 ) & 14.01 & 0.52 & 0.73 & 6.00 & 0.99 \\\\\n", + "\t51 & 500 & 50 & 0.7 & 0.1 & 0.90 & 1 ( 0.04 ) & 0.58 ( 0.19 ) & 0 ( 0 ) & 6.58 & 0.06 & 1.00 & 0.58 & 0.00 \\\\\n", + "\\end{tabular}\n" + ], + "text/markdown": [ + "\n", + "| | N | P | Corr | Ratio | Stab | MSE | FP | FN | num_select | FDR | MSE_mean | FP_mean | FN_mean |\n", + "|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n", + "| 21 | 50 | 100 | 0.3 | 2.0 | 0.27 | 0.94 ( 0.05 ) | 6 ( 0.34 ) | 1.93 ( 0.14 ) | 10.07 | 0.54 | 0.94 | 6.00 | 1.93 |\n", + "| 26 | 100 | 500 | 0.3 | 5.0 | 0.30 | 0.73 ( 0.03 ) | 9 ( 0.76 ) | 0.99 ( 0.12 ) | 14.01 | 0.52 | 0.73 | 6.00 | 0.99 |\n", + "| 51 | 500 | 50 | 0.7 | 0.1 | 0.90 | 1 ( 0.04 ) | 0.58 ( 0.19 ) | 0 ( 0 ) | 6.58 | 0.06 | 1.00 | 0.58 | 0.00 |\n", + "\n" + ], + "text/plain": [ + " N P Corr Ratio Stab MSE FP FN num_select\n", + "21 50 100 0.3 2.0 0.27 0.94 ( 0.05 ) 6 ( 0.34 ) 1.93 ( 0.14 ) 10.07 \n", + "26 100 500 0.3 5.0 0.30 0.73 ( 0.03 ) 9 ( 0.76 ) 0.99 ( 0.12 ) 14.01 \n", + "51 500 50 0.7 0.1 0.90 1 ( 0.04 ) 0.58 ( 0.19 ) 0 ( 0 ) 6.58 \n", + " FDR MSE_mean FP_mean FN_mean\n", + "21 0.54 0.94 6.00 1.93 \n", + "26 0.52 0.73 6.00 0.99 \n", + "51 0.06 1.00 0.58 0.00 " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "result.table_block[c(21,26,51), ]" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", + "\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\n", + "
    NPCorrRatioStabMSEFPFNnum_selectFDRMSE_meanFP_meanFN_mean
    50 50 0.1 1.00 0.03 0.36 ( 0.01 )2.8 ( 0.36 ) 5.01 ( 0.09 ) 3.79 0.62 0.36 2.80 5.01
    100 50 0.1 0.50 0.10 0.32 ( 0.01 )4.96 ( 0.55 )3.77 ( 0.14 ) 7.19 0.55 0.32 4.96 3.77
    500 50 0.1 0.10 0.26 0.28 ( 0 ) 8.81 ( 0.4 ) 0.78 ( 0.08 )14.03 0.6 0.28 8.81 0.78
    1000 50 0.1 0.05 0.31 0.27 ( 0 ) 8.37 ( 0.37 )0.24 ( 0.06 )14.13 0.56 0.27 8.37 0.24
    50 100 0.1 2.00 0.04 0.37 ( 0.02 )2.54 ( 0.37 )5.22 ( 0.08 ) 3.32 0.63 0.37 2.54 5.22
    100 100 0.1 1.00 0.07 0.35 ( 0.01 )3.99 ( 0.57 )4.63 ( 0.1 ) 5.36 0.56 0.35 3.99 4.63
    \n" + ], + "text/latex": [ + "\\begin{tabular}{r|lllllllllllll}\n", + " N & P & Corr & Ratio & Stab & MSE & FP & FN & num\\_select & FDR & MSE\\_mean & FP\\_mean & FN\\_mean\\\\\n", + "\\hline\n", + "\t 50 & 50 & 0.1 & 1.00 & 0.03 & 0.36 ( 0.01 ) & 2.8 ( 0.36 ) & 5.01 ( 0.09 ) & 3.79 & 0.62 & 0.36 & 2.80 & 5.01 \\\\\n", + "\t 100 & 50 & 0.1 & 0.50 & 0.10 & 0.32 ( 0.01 ) & 4.96 ( 0.55 ) & 3.77 ( 0.14 ) & 7.19 & 0.55 & 0.32 & 4.96 & 3.77 \\\\\n", + "\t 500 & 50 & 0.1 & 0.10 & 0.26 & 0.28 ( 0 ) & 8.81 ( 0.4 ) & 0.78 ( 0.08 ) & 14.03 & 0.6 & 0.28 & 8.81 & 0.78 \\\\\n", + "\t 1000 & 50 & 0.1 & 0.05 & 0.31 & 0.27 ( 0 ) & 8.37 ( 0.37 ) & 0.24 ( 0.06 ) & 14.13 & 0.56 & 0.27 & 8.37 & 0.24 \\\\\n", + "\t 50 & 100 & 0.1 & 2.00 & 0.04 & 0.37 ( 0.02 ) & 2.54 ( 0.37 ) & 5.22 ( 0.08 ) & 3.32 & 0.63 & 0.37 & 2.54 & 5.22 \\\\\n", + "\t 100 & 100 & 0.1 & 1.00 & 0.07 & 0.35 ( 0.01 ) & 3.99 ( 0.57 ) & 4.63 ( 0.1 ) & 5.36 & 0.56 & 0.35 & 3.99 & 4.63 \\\\\n", + "\\end{tabular}\n" + ], + "text/markdown": [ + "\n", + "| N | P | Corr | Ratio | Stab | MSE | FP | FN | num_select | FDR | MSE_mean | FP_mean | FN_mean |\n", + "|---|---|---|---|---|---|---|---|---|---|---|---|---|\n", + "| 50 | 50 | 0.1 | 1.00 | 0.03 | 0.36 ( 0.01 ) | 2.8 ( 0.36 ) | 5.01 ( 0.09 ) | 3.79 | 0.62 | 0.36 | 2.80 | 5.01 |\n", + "| 100 | 50 | 0.1 | 0.50 | 0.10 | 0.32 ( 0.01 ) | 4.96 ( 0.55 ) | 3.77 ( 0.14 ) | 7.19 | 0.55 | 0.32 | 4.96 | 3.77 |\n", + "| 500 | 50 | 0.1 | 0.10 | 0.26 | 0.28 ( 0 ) | 8.81 ( 0.4 ) | 0.78 ( 0.08 ) | 14.03 | 0.6 | 0.28 | 8.81 | 0.78 |\n", + "| 1000 | 50 | 0.1 | 0.05 | 0.31 | 0.27 ( 0 ) | 8.37 ( 0.37 ) | 0.24 ( 0.06 ) | 14.13 | 0.56 | 0.27 | 8.37 | 0.24 |\n", + "| 50 | 100 | 0.1 | 2.00 | 0.04 | 0.37 ( 0.02 ) | 2.54 ( 0.37 ) | 5.22 ( 0.08 ) | 3.32 | 0.63 | 0.37 | 2.54 | 5.22 |\n", + "| 100 | 100 | 0.1 | 1.00 | 0.07 | 0.35 ( 0.01 ) | 3.99 ( 0.57 ) | 4.63 ( 0.1 ) | 5.36 | 0.56 | 0.35 | 3.99 | 4.63 |\n", + "\n" + ], + "text/plain": [ + " N P Corr Ratio Stab MSE FP FN num_select\n", + "1 50 50 0.1 1.00 0.03 0.36 ( 0.01 ) 2.8 ( 0.36 ) 5.01 ( 0.09 ) 3.79 \n", + "2 100 50 0.1 0.50 0.10 0.32 ( 0.01 ) 4.96 ( 0.55 ) 3.77 ( 0.14 ) 7.19 \n", + "3 500 50 0.1 0.10 0.26 0.28 ( 0 ) 8.81 ( 0.4 ) 0.78 ( 0.08 ) 14.03 \n", + "4 1000 50 0.1 0.05 0.31 0.27 ( 0 ) 8.37 ( 0.37 ) 0.24 ( 0.06 ) 14.13 \n", + "5 50 100 0.1 2.00 0.04 0.37 ( 0.02 ) 2.54 ( 0.37 ) 5.22 ( 0.08 ) 3.32 \n", + "6 100 100 0.1 1.00 0.07 0.35 ( 0.01 ) 3.99 ( 0.57 ) 4.63 ( 0.1 ) 5.36 \n", + " FDR MSE_mean FP_mean FN_mean\n", + "1 0.62 0.36 2.80 5.01 \n", + "2 0.55 0.32 4.96 3.77 \n", + "3 0.6 0.28 8.81 0.78 \n", + "4 0.56 0.27 8.37 0.24 \n", + "5 0.63 0.37 2.54 5.22 \n", + "6 0.56 0.35 3.99 4.63 " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "head(result.table_block)" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", + "\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\n", + "
    NPCorrRatioStabMSEFPFNnum_selectFDRMSE_meanFP_meanFN_mean
    75 500 500 0.9 1.0 0.93 1.27 ( 0.05 )0.44 ( 0.18 )0 ( 0 ) 6.44 0.04 1.27 0.44 0.00
    761000 500 0.9 0.5 0.96 1.31 ( 0.05 )0.23 ( 0.06 )0 ( 0 ) 6.23 0.03 1.31 0.23 0.00
    77 50 1000 0.9 20.0 0.23 3.37 ( 0.19 )5.29 ( 0.41 )3.13 ( 0.15 ) 8.16 0.57 3.37 5.29 3.13
    78 100 1000 0.9 10.0 0.56 1.14 ( 0.05 )4.56 ( 0.38 )0.07 ( 0.03 )10.49 0.37 1.14 4.56 0.07
    79 500 1000 0.9 2.0 0.96 1.28 ( 0.04 )0.27 ( 0.11 )0 ( 0 ) 6.27 0.03 1.28 0.27 0.00
    801000 1000 0.9 1.0 0.95 1.35 ( 0.05 )0.29 ( 0.09 )0 ( 0 ) 6.29 0.03 1.35 0.29 0.00
    \n" + ], + "text/latex": [ + "\\begin{tabular}{r|lllllllllllll}\n", + " & N & P & Corr & Ratio & Stab & MSE & FP & FN & num\\_select & FDR & MSE\\_mean & FP\\_mean & FN\\_mean\\\\\n", + "\\hline\n", + "\t75 & 500 & 500 & 0.9 & 1.0 & 0.93 & 1.27 ( 0.05 ) & 0.44 ( 0.18 ) & 0 ( 0 ) & 6.44 & 0.04 & 1.27 & 0.44 & 0.00 \\\\\n", + "\t76 & 1000 & 500 & 0.9 & 0.5 & 0.96 & 1.31 ( 0.05 ) & 0.23 ( 0.06 ) & 0 ( 0 ) & 6.23 & 0.03 & 1.31 & 0.23 & 0.00 \\\\\n", + "\t77 & 50 & 1000 & 0.9 & 20.0 & 0.23 & 3.37 ( 0.19 ) & 5.29 ( 0.41 ) & 3.13 ( 0.15 ) & 8.16 & 0.57 & 3.37 & 5.29 & 3.13 \\\\\n", + "\t78 & 100 & 1000 & 0.9 & 10.0 & 0.56 & 1.14 ( 0.05 ) & 4.56 ( 0.38 ) & 0.07 ( 0.03 ) & 10.49 & 0.37 & 1.14 & 4.56 & 0.07 \\\\\n", + "\t79 & 500 & 1000 & 0.9 & 2.0 & 0.96 & 1.28 ( 0.04 ) & 0.27 ( 0.11 ) & 0 ( 0 ) & 6.27 & 0.03 & 1.28 & 0.27 & 0.00 \\\\\n", + "\t80 & 1000 & 1000 & 0.9 & 1.0 & 0.95 & 1.35 ( 0.05 ) & 0.29 ( 0.09 ) & 0 ( 0 ) & 6.29 & 0.03 & 1.35 & 0.29 & 0.00 \\\\\n", + "\\end{tabular}\n" + ], + "text/markdown": [ + "\n", + "| | N | P | Corr | Ratio | Stab | MSE | FP | FN | num_select | FDR | MSE_mean | FP_mean | FN_mean |\n", + "|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n", + "| 75 | 500 | 500 | 0.9 | 1.0 | 0.93 | 1.27 ( 0.05 ) | 0.44 ( 0.18 ) | 0 ( 0 ) | 6.44 | 0.04 | 1.27 | 0.44 | 0.00 |\n", + "| 76 | 1000 | 500 | 0.9 | 0.5 | 0.96 | 1.31 ( 0.05 ) | 0.23 ( 0.06 ) | 0 ( 0 ) | 6.23 | 0.03 | 1.31 | 0.23 | 0.00 |\n", + "| 77 | 50 | 1000 | 0.9 | 20.0 | 0.23 | 3.37 ( 0.19 ) | 5.29 ( 0.41 ) | 3.13 ( 0.15 ) | 8.16 | 0.57 | 3.37 | 5.29 | 3.13 |\n", + "| 78 | 100 | 1000 | 0.9 | 10.0 | 0.56 | 1.14 ( 0.05 ) | 4.56 ( 0.38 ) | 0.07 ( 0.03 ) | 10.49 | 0.37 | 1.14 | 4.56 | 0.07 |\n", + "| 79 | 500 | 1000 | 0.9 | 2.0 | 0.96 | 1.28 ( 0.04 ) | 0.27 ( 0.11 ) | 0 ( 0 ) | 6.27 | 0.03 | 1.28 | 0.27 | 0.00 |\n", + "| 80 | 1000 | 1000 | 0.9 | 1.0 | 0.95 | 1.35 ( 0.05 ) | 0.29 ( 0.09 ) | 0 ( 0 ) | 6.29 | 0.03 | 1.35 | 0.29 | 0.00 |\n", + "\n" + ], + "text/plain": [ + " N P Corr Ratio Stab MSE FP FN \n", + "75 500 500 0.9 1.0 0.93 1.27 ( 0.05 ) 0.44 ( 0.18 ) 0 ( 0 ) \n", + "76 1000 500 0.9 0.5 0.96 1.31 ( 0.05 ) 0.23 ( 0.06 ) 0 ( 0 ) \n", + "77 50 1000 0.9 20.0 0.23 3.37 ( 0.19 ) 5.29 ( 0.41 ) 3.13 ( 0.15 )\n", + "78 100 1000 0.9 10.0 0.56 1.14 ( 0.05 ) 4.56 ( 0.38 ) 0.07 ( 0.03 )\n", + "79 500 1000 0.9 2.0 0.96 1.28 ( 0.04 ) 0.27 ( 0.11 ) 0 ( 0 ) \n", + "80 1000 1000 0.9 1.0 0.95 1.35 ( 0.05 ) 0.29 ( 0.09 ) 0 ( 0 ) \n", + " num_select FDR MSE_mean FP_mean FN_mean\n", + "75 6.44 0.04 1.27 0.44 0.00 \n", + "76 6.23 0.03 1.31 0.23 0.00 \n", + "77 8.16 0.57 3.37 5.29 3.13 \n", + "78 10.49 0.37 1.14 4.56 0.07 \n", + "79 6.27 0.03 1.28 0.27 0.00 \n", + "80 6.29 0.03 1.35 0.29 0.00 " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "tail(result.table_block)" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [], + "source": [ + "## export\n", + "write.table(result.table_block, '../results_summary/sim_block_compLasso.txt', sep='\\t', row.names=F)" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Registered S3 methods overwritten by 'ggplot2':\n", + " method from \n", + " [.quosures rlang\n", + " c.quosures rlang\n", + " print.quosures rlang\n", + "Loading required package: magrittr\n", + "Warning message:\n", + "“Using size for a discrete variable is not advised.”Warning message:\n", + "“Using alpha for a discrete variable is not advised.”Warning message:\n", + "“Using size for a discrete variable is not advised.”Warning message:\n", + "“Using alpha for a discrete variable is not advised.”Warning message:\n", + "“Using size for a discrete variable is not advised.”Warning message:\n", + "“Using alpha for a discrete variable is not advised.”Warning message:\n", + "“Using size for a discrete variable is not advised.”Warning message:\n", + "“Using alpha for a discrete variable is not advised.”file saved to ../figures_sim/figure_block_compLasso.pdf\n" + ] + } + ], + "source": [ + "library(ggplot2)\n", + "library(ggpubr)\n", + "result.table_block$N = as.factor(result.table_block$N)\n", + "fig_block_stab = ggplot(result.table_block, aes(x=P, y=Stab, color=N)) + \n", + " geom_point(aes(size = Corr, alpha=Corr)) + theme(legend.position = \"none\") +\n", + " scale_size_discrete(range = c(1,4)) + scale_alpha_discrete(range = c(1, 0.4)) + ylab('Stability')\n", + "\n", + "fig_block_mse = ggplot(result.table_block, aes(x=P, y=MSE_mean, color=N)) + \n", + " geom_point(aes(size = Corr, alpha=Corr)) + theme(legend.position=\"none\") +\n", + " scale_size_discrete(range = c(1,4)) + scale_alpha_discrete(range = c(1, 0.4)) + ylab('MSE')\n", + "\n", + "fig_block_fp = ggplot(result.table_block, aes(x=P, y=FP_mean, color=N)) + \n", + " geom_point(aes(size = Corr, alpha=Corr)) + theme(legend.position = \"none\") +\n", + " scale_size_discrete(range = c(1,4)) + scale_alpha_discrete(range = c(1, 0.4)) + ylab('False Positives')\n", + "\n", + "fig_block_fn = ggplot(result.table_block, aes(x=P, y=FN_mean, color=N)) + \n", + " geom_point(aes(size = Corr, alpha=Corr)) + theme(legend.position = \"none\") +\n", + " scale_size_discrete(range = c(1,4)) + scale_alpha_discrete(range = c(1, 0.4)) + ylab('False Negatives')\n", + "fig = ggarrange(fig_block_stab, fig_block_mse, fig_block_fp, fig_block_fn, ncol=2, nrow=2, \n", + " common.legend = TRUE, legend=\"right\") \n", + "fig = annotate_figure(fig, top = text_grob(\"Block_compLasso\"))\n", + "ggexport(fig, filename = \"../figures_sim/figure_block_compLasso.pdf\", height=6, width=6)" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", + "\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\n", + "
    NPCorrRatioStabMSEFPFNMSE_meanFP_meanFN_mean
    150 50 0.1 1.0 0.03 0.36 ( 0.01 )2.8 ( 0.36 ) 5.01 ( 0.09 )0.36 2.80 5.01
    1750 50 0.3 1.0 0.32 0.8 ( 0.05 ) 5.34 ( 0.32 )1.21 ( 0.12 )0.80 5.34 1.21
    3350 50 0.5 1.0 0.42 0.77 ( 0.04 )5.49 ( 0.31 )0.25 ( 0.06 )0.77 5.49 0.25
    4950 50 0.7 1.0 0.49 0.8 ( 0.06 ) 4.27 ( 0.31 )0.24 ( 0.06 )0.80 4.27 0.24
    6550 50 0.9 1.0 0.48 0.92 ( 0.07 )4.7 ( 0.32 ) 0.14 ( 0.04 )0.92 4.70 0.14
    550 100 0.1 2.0 0.04 0.37 ( 0.02 )2.54 ( 0.37 )5.22 ( 0.08 )0.37 2.54 5.22
    2150 100 0.3 2.0 0.27 0.94 ( 0.05 )6 ( 0.34 ) 1.93 ( 0.14 )0.94 6.00 1.93
    3750 100 0.5 2.0 0.36 1.03 ( 0.07 )5.95 ( 0.33 )0.96 ( 0.11 )1.03 5.95 0.96
    5350 100 0.7 2.0 0.42 1.14 ( 0.08 )5.46 ( 0.32 )0.55 ( 0.09 )1.14 5.46 0.55
    6950 100 0.9 2.0 0.42 1.28 ( 0.08 )5.86 ( 0.29 )0.47 ( 0.09 )1.28 5.86 0.47
    950 500 0.1 10.0 0.01 0.36 ( 0.02 )3.53 ( 0.44 )5.62 ( 0.07 )0.36 3.53 5.62
    2550 500 0.3 10.0 0.13 1.31 ( 0.06 )5.44 ( 0.44 )3.96 ( 0.15 )1.31 5.44 3.96
    4150 500 0.5 10.0 0.22 1.93 ( 0.1 ) 5.08 ( 0.41 )3.23 ( 0.15 )1.93 5.08 3.23
    5750 500 0.7 10.0 0.26 2.76 ( 0.17 )5.16 ( 0.4 ) 2.65 ( 0.15 )2.76 5.16 2.65
    7350 500 0.9 10.0 0.25 3.06 ( 0.18 )5.42 ( 0.4 ) 2.69 ( 0.15 )3.06 5.42 2.69
    1350 1000 0.1 20.0 0.00 0.37 ( 0.02 )4.53 ( 0.54 )5.71 ( 0.06 )0.37 4.53 5.71
    2950 1000 0.3 20.0 0.07 1.55 ( 0.08 )3.96 ( 0.47 )4.74 ( 0.14 )1.55 3.96 4.74
    4550 1000 0.5 20.0 0.15 2.1 ( 0.11 ) 5.84 ( 0.49 )3.77 ( 0.14 )2.10 5.84 3.77
    6150 1000 0.7 20.0 0.20 3.02 ( 0.16 )5.41 ( 0.43 )3.39 ( 0.13 )3.02 5.41 3.39
    7750 1000 0.9 20.0 0.23 3.37 ( 0.19 )5.29 ( 0.41 )3.13 ( 0.15 )3.37 5.29 3.13
    2100 50 0.1 0.5 0.10 0.32 ( 0.01 )4.96 ( 0.55 )3.77 ( 0.14 )0.32 4.96 3.77
    18100 50 0.3 0.5 0.50 0.52 ( 0.02 )4.42 ( 0.52 )0.1 ( 0.03 ) 0.52 4.42 0.10
    34100 50 0.5 0.5 0.68 0.6 ( 0.03 ) 2.34 ( 0.31 )0.01 ( 0.01 )0.60 2.34 0.01
    50100 50 0.7 0.5 0.75 0.75 ( 0.03 )1.71 ( 0.28 )0 ( 0 ) 0.75 1.71 0.00
    66100 50 0.9 0.5 0.76 0.94 ( 0.05 )1.59 ( 0.25 )0 ( 0 ) 0.94 1.59 0.00
    6100 100 0.1 1.0 0.07 0.35 ( 0.01 )3.99 ( 0.57 )4.63 ( 0.1 ) 0.35 3.99 4.63
    22100 100 0.3 1.0 0.47 0.53 ( 0.02 )5.24 ( 0.45 )0.24 ( 0.06 )0.53 5.24 0.24
    38100 100 0.5 1.0 0.65 0.64 ( 0.03 )2.9 ( 0.32 ) 0.03 ( 0.02 )0.64 2.90 0.03
    54100 100 0.7 1.0 0.69 0.82 ( 0.04 )2.46 ( 0.41 )0 ( 0 ) 0.82 2.46 0.00
    70100 100 0.9 1.0 0.81 0.94 ( 0.04 )1.34 ( 0.23 )0 ( 0 ) 0.94 1.34 0.00
    ....................................
    11500 500 0.1 1.00 0.36 0.32 ( 0.01 ) 2.42 ( 0.56 ) 3.74 ( 0.08 ) 0.32 2.42 3.74
    27500 500 0.3 1.00 0.95 0.55 ( 0.01 ) 0.31 ( 0.08 ) 0 ( 0 ) 0.55 0.31 0.00
    43500 500 0.5 1.00 0.94 0.83 ( 0.03 ) 0.36 ( 0.11 ) 0 ( 0 ) 0.83 0.36 0.00
    59500 500 0.7 1.00 0.94 1.05 ( 0.04 ) 0.35 ( 0.1 ) 0 ( 0 ) 1.05 0.35 0.00
    75500 500 0.9 1.00 0.93 1.27 ( 0.05 ) 0.44 ( 0.18 ) 0 ( 0 ) 1.27 0.44 0.00
    15500 1000 0.1 2.00 0.52 0.34 ( 0 ) 0.93 ( 0.19 ) 3.83 ( 0.06 ) 0.34 0.93 3.83
    31500 1000 0.3 2.00 0.92 0.56 ( 0.01 ) 0.52 ( 0.14 ) 0 ( 0 ) 0.56 0.52 0.00
    47500 1000 0.5 2.00 0.98 0.86 ( 0.02 ) 0.13 ( 0.05 ) 0 ( 0 ) 0.86 0.13 0.00
    63500 1000 0.7 2.00 0.95 1.04 ( 0.04 ) 0.31 ( 0.1 ) 0 ( 0 ) 1.04 0.31 0.00
    79500 1000 0.9 2.00 0.96 1.28 ( 0.04 ) 0.27 ( 0.11 ) 0 ( 0 ) 1.28 0.27 0.00
    41000 50 0.1 0.05 0.31 0.27 ( 0 ) 8.37 ( 0.37 ) 0.24 ( 0.06 ) 0.27 8.37 0.24
    201000 50 0.3 0.05 0.89 0.56 ( 0.02 ) 0.66 ( 0.18 ) 0 ( 0 ) 0.56 0.66 0.00
    361000 50 0.5 0.05 0.88 0.78 ( 0.03 ) 0.7 ( 0.21 ) 0 ( 0 ) 0.78 0.70 0.00
    521000 50 0.7 0.05 0.92 0.98 ( 0.04 ) 0.43 ( 0.09 ) 0 ( 0 ) 0.98 0.43 0.00
    681000 50 0.9 0.05 0.89 1.28 ( 0.05 ) 0.62 ( 0.19 ) 0 ( 0 ) 1.28 0.62 0.00
    81000 100 0.1 0.10 0.23 0.28 ( 0 ) 13.35 ( 0.59 )0.47 ( 0.07 ) 0.28 13.30 0.47
    241000 100 0.3 0.10 0.92 0.55 ( 0.02 ) 0.51 ( 0.15 ) 0 ( 0 ) 0.55 0.51 0.00
    401000 100 0.5 0.10 0.93 0.8 ( 0.03 ) 0.4 ( 0.09 ) 0 ( 0 ) 0.80 0.40 0.00
    561000 100 0.7 0.10 0.94 1.08 ( 0.04 ) 0.36 ( 0.09 ) 0 ( 0 ) 1.08 0.36 0.00
    721000 100 0.9 0.10 0.94 1.32 ( 0.05 ) 0.34 ( 0.1 ) 0 ( 0 ) 1.32 0.34 0.00
    121000 500 0.1 0.50 0.14 0.3 ( 0 ) 19.4 ( 1.74 ) 2.05 ( 0.12 ) 0.30 19.40 2.05
    281000 500 0.3 0.50 0.92 0.57 ( 0.02 ) 0.49 ( 0.14 ) 0 ( 0 ) 0.57 0.49 0.00
    441000 500 0.5 0.50 0.97 0.87 ( 0.03 ) 0.19 ( 0.06 ) 0 ( 0 ) 0.87 0.19 0.00
    601000 500 0.7 0.50 0.98 1.14 ( 0.04 ) 0.14 ( 0.04 ) 0 ( 0 ) 1.14 0.14 0.00
    761000 500 0.9 0.50 0.96 1.31 ( 0.05 ) 0.23 ( 0.06 ) 0 ( 0 ) 1.31 0.23 0.00
    161000 1000 0.1 1.00 0.21 0.31 ( 0 ) 8.59 ( 1.37 ) 2.96 ( 0.1 ) 0.31 8.59 2.96
    321000 1000 0.3 1.00 0.95 0.56 ( 0.02 ) 0.29 ( 0.08 ) 0 ( 0 ) 0.56 0.29 0.00
    481000 1000 0.5 1.00 0.95 0.85 ( 0.02 ) 0.3 ( 0.11 ) 0 ( 0 ) 0.85 0.30 0.00
    641000 1000 0.7 1.00 0.97 1.13 ( 0.04 ) 0.21 ( 0.07 ) 0 ( 0 ) 1.13 0.21 0.00
    801000 1000 0.9 1.00 0.95 1.35 ( 0.05 ) 0.29 ( 0.09 ) 0 ( 0 ) 1.35 0.29 0.00
    \n" + ], + "text/latex": [ + "\\begin{tabular}{r|lllllllllll}\n", + " & N & P & Corr & Ratio & Stab & MSE & FP & FN & MSE\\_mean & FP\\_mean & FN\\_mean\\\\\n", + "\\hline\n", + "\t1 & 50 & 50 & 0.1 & 1.0 & 0.03 & 0.36 ( 0.01 ) & 2.8 ( 0.36 ) & 5.01 ( 0.09 ) & 0.36 & 2.80 & 5.01 \\\\\n", + "\t17 & 50 & 50 & 0.3 & 1.0 & 0.32 & 0.8 ( 0.05 ) & 5.34 ( 0.32 ) & 1.21 ( 0.12 ) & 0.80 & 5.34 & 1.21 \\\\\n", + "\t33 & 50 & 50 & 0.5 & 1.0 & 0.42 & 0.77 ( 0.04 ) & 5.49 ( 0.31 ) & 0.25 ( 0.06 ) & 0.77 & 5.49 & 0.25 \\\\\n", + "\t49 & 50 & 50 & 0.7 & 1.0 & 0.49 & 0.8 ( 0.06 ) & 4.27 ( 0.31 ) & 0.24 ( 0.06 ) & 0.80 & 4.27 & 0.24 \\\\\n", + "\t65 & 50 & 50 & 0.9 & 1.0 & 0.48 & 0.92 ( 0.07 ) & 4.7 ( 0.32 ) & 0.14 ( 0.04 ) & 0.92 & 4.70 & 0.14 \\\\\n", + "\t5 & 50 & 100 & 0.1 & 2.0 & 0.04 & 0.37 ( 0.02 ) & 2.54 ( 0.37 ) & 5.22 ( 0.08 ) & 0.37 & 2.54 & 5.22 \\\\\n", + "\t21 & 50 & 100 & 0.3 & 2.0 & 0.27 & 0.94 ( 0.05 ) & 6 ( 0.34 ) & 1.93 ( 0.14 ) & 0.94 & 6.00 & 1.93 \\\\\n", + "\t37 & 50 & 100 & 0.5 & 2.0 & 0.36 & 1.03 ( 0.07 ) & 5.95 ( 0.33 ) & 0.96 ( 0.11 ) & 1.03 & 5.95 & 0.96 \\\\\n", + "\t53 & 50 & 100 & 0.7 & 2.0 & 0.42 & 1.14 ( 0.08 ) & 5.46 ( 0.32 ) & 0.55 ( 0.09 ) & 1.14 & 5.46 & 0.55 \\\\\n", + "\t69 & 50 & 100 & 0.9 & 2.0 & 0.42 & 1.28 ( 0.08 ) & 5.86 ( 0.29 ) & 0.47 ( 0.09 ) & 1.28 & 5.86 & 0.47 \\\\\n", + "\t9 & 50 & 500 & 0.1 & 10.0 & 0.01 & 0.36 ( 0.02 ) & 3.53 ( 0.44 ) & 5.62 ( 0.07 ) & 0.36 & 3.53 & 5.62 \\\\\n", + "\t25 & 50 & 500 & 0.3 & 10.0 & 0.13 & 1.31 ( 0.06 ) & 5.44 ( 0.44 ) & 3.96 ( 0.15 ) & 1.31 & 5.44 & 3.96 \\\\\n", + "\t41 & 50 & 500 & 0.5 & 10.0 & 0.22 & 1.93 ( 0.1 ) & 5.08 ( 0.41 ) & 3.23 ( 0.15 ) & 1.93 & 5.08 & 3.23 \\\\\n", + "\t57 & 50 & 500 & 0.7 & 10.0 & 0.26 & 2.76 ( 0.17 ) & 5.16 ( 0.4 ) & 2.65 ( 0.15 ) & 2.76 & 5.16 & 2.65 \\\\\n", + "\t73 & 50 & 500 & 0.9 & 10.0 & 0.25 & 3.06 ( 0.18 ) & 5.42 ( 0.4 ) & 2.69 ( 0.15 ) & 3.06 & 5.42 & 2.69 \\\\\n", + "\t13 & 50 & 1000 & 0.1 & 20.0 & 0.00 & 0.37 ( 0.02 ) & 4.53 ( 0.54 ) & 5.71 ( 0.06 ) & 0.37 & 4.53 & 5.71 \\\\\n", + "\t29 & 50 & 1000 & 0.3 & 20.0 & 0.07 & 1.55 ( 0.08 ) & 3.96 ( 0.47 ) & 4.74 ( 0.14 ) & 1.55 & 3.96 & 4.74 \\\\\n", + "\t45 & 50 & 1000 & 0.5 & 20.0 & 0.15 & 2.1 ( 0.11 ) & 5.84 ( 0.49 ) & 3.77 ( 0.14 ) & 2.10 & 5.84 & 3.77 \\\\\n", + "\t61 & 50 & 1000 & 0.7 & 20.0 & 0.20 & 3.02 ( 0.16 ) & 5.41 ( 0.43 ) & 3.39 ( 0.13 ) & 3.02 & 5.41 & 3.39 \\\\\n", + "\t77 & 50 & 1000 & 0.9 & 20.0 & 0.23 & 3.37 ( 0.19 ) & 5.29 ( 0.41 ) & 3.13 ( 0.15 ) & 3.37 & 5.29 & 3.13 \\\\\n", + "\t2 & 100 & 50 & 0.1 & 0.5 & 0.10 & 0.32 ( 0.01 ) & 4.96 ( 0.55 ) & 3.77 ( 0.14 ) & 0.32 & 4.96 & 3.77 \\\\\n", + "\t18 & 100 & 50 & 0.3 & 0.5 & 0.50 & 0.52 ( 0.02 ) & 4.42 ( 0.52 ) & 0.1 ( 0.03 ) & 0.52 & 4.42 & 0.10 \\\\\n", + "\t34 & 100 & 50 & 0.5 & 0.5 & 0.68 & 0.6 ( 0.03 ) & 2.34 ( 0.31 ) & 0.01 ( 0.01 ) & 0.60 & 2.34 & 0.01 \\\\\n", + "\t50 & 100 & 50 & 0.7 & 0.5 & 0.75 & 0.75 ( 0.03 ) & 1.71 ( 0.28 ) & 0 ( 0 ) & 0.75 & 1.71 & 0.00 \\\\\n", + "\t66 & 100 & 50 & 0.9 & 0.5 & 0.76 & 0.94 ( 0.05 ) & 1.59 ( 0.25 ) & 0 ( 0 ) & 0.94 & 1.59 & 0.00 \\\\\n", + "\t6 & 100 & 100 & 0.1 & 1.0 & 0.07 & 0.35 ( 0.01 ) & 3.99 ( 0.57 ) & 4.63 ( 0.1 ) & 0.35 & 3.99 & 4.63 \\\\\n", + "\t22 & 100 & 100 & 0.3 & 1.0 & 0.47 & 0.53 ( 0.02 ) & 5.24 ( 0.45 ) & 0.24 ( 0.06 ) & 0.53 & 5.24 & 0.24 \\\\\n", + "\t38 & 100 & 100 & 0.5 & 1.0 & 0.65 & 0.64 ( 0.03 ) & 2.9 ( 0.32 ) & 0.03 ( 0.02 ) & 0.64 & 2.90 & 0.03 \\\\\n", + "\t54 & 100 & 100 & 0.7 & 1.0 & 0.69 & 0.82 ( 0.04 ) & 2.46 ( 0.41 ) & 0 ( 0 ) & 0.82 & 2.46 & 0.00 \\\\\n", + "\t70 & 100 & 100 & 0.9 & 1.0 & 0.81 & 0.94 ( 0.04 ) & 1.34 ( 0.23 ) & 0 ( 0 ) & 0.94 & 1.34 & 0.00 \\\\\n", + "\t... & ... & ... & ... & ... & ... & ... & ... & ... & ... & ... & ...\\\\\n", + "\t11 & 500 & 500 & 0.1 & 1.00 & 0.36 & 0.32 ( 0.01 ) & 2.42 ( 0.56 ) & 3.74 ( 0.08 ) & 0.32 & 2.42 & 3.74 \\\\\n", + "\t27 & 500 & 500 & 0.3 & 1.00 & 0.95 & 0.55 ( 0.01 ) & 0.31 ( 0.08 ) & 0 ( 0 ) & 0.55 & 0.31 & 0.00 \\\\\n", + "\t43 & 500 & 500 & 0.5 & 1.00 & 0.94 & 0.83 ( 0.03 ) & 0.36 ( 0.11 ) & 0 ( 0 ) & 0.83 & 0.36 & 0.00 \\\\\n", + "\t59 & 500 & 500 & 0.7 & 1.00 & 0.94 & 1.05 ( 0.04 ) & 0.35 ( 0.1 ) & 0 ( 0 ) & 1.05 & 0.35 & 0.00 \\\\\n", + "\t75 & 500 & 500 & 0.9 & 1.00 & 0.93 & 1.27 ( 0.05 ) & 0.44 ( 0.18 ) & 0 ( 0 ) & 1.27 & 0.44 & 0.00 \\\\\n", + "\t15 & 500 & 1000 & 0.1 & 2.00 & 0.52 & 0.34 ( 0 ) & 0.93 ( 0.19 ) & 3.83 ( 0.06 ) & 0.34 & 0.93 & 3.83 \\\\\n", + "\t31 & 500 & 1000 & 0.3 & 2.00 & 0.92 & 0.56 ( 0.01 ) & 0.52 ( 0.14 ) & 0 ( 0 ) & 0.56 & 0.52 & 0.00 \\\\\n", + "\t47 & 500 & 1000 & 0.5 & 2.00 & 0.98 & 0.86 ( 0.02 ) & 0.13 ( 0.05 ) & 0 ( 0 ) & 0.86 & 0.13 & 0.00 \\\\\n", + "\t63 & 500 & 1000 & 0.7 & 2.00 & 0.95 & 1.04 ( 0.04 ) & 0.31 ( 0.1 ) & 0 ( 0 ) & 1.04 & 0.31 & 0.00 \\\\\n", + "\t79 & 500 & 1000 & 0.9 & 2.00 & 0.96 & 1.28 ( 0.04 ) & 0.27 ( 0.11 ) & 0 ( 0 ) & 1.28 & 0.27 & 0.00 \\\\\n", + "\t4 & 1000 & 50 & 0.1 & 0.05 & 0.31 & 0.27 ( 0 ) & 8.37 ( 0.37 ) & 0.24 ( 0.06 ) & 0.27 & 8.37 & 0.24 \\\\\n", + "\t20 & 1000 & 50 & 0.3 & 0.05 & 0.89 & 0.56 ( 0.02 ) & 0.66 ( 0.18 ) & 0 ( 0 ) & 0.56 & 0.66 & 0.00 \\\\\n", + "\t36 & 1000 & 50 & 0.5 & 0.05 & 0.88 & 0.78 ( 0.03 ) & 0.7 ( 0.21 ) & 0 ( 0 ) & 0.78 & 0.70 & 0.00 \\\\\n", + "\t52 & 1000 & 50 & 0.7 & 0.05 & 0.92 & 0.98 ( 0.04 ) & 0.43 ( 0.09 ) & 0 ( 0 ) & 0.98 & 0.43 & 0.00 \\\\\n", + "\t68 & 1000 & 50 & 0.9 & 0.05 & 0.89 & 1.28 ( 0.05 ) & 0.62 ( 0.19 ) & 0 ( 0 ) & 1.28 & 0.62 & 0.00 \\\\\n", + "\t8 & 1000 & 100 & 0.1 & 0.10 & 0.23 & 0.28 ( 0 ) & 13.35 ( 0.59 ) & 0.47 ( 0.07 ) & 0.28 & 13.30 & 0.47 \\\\\n", + "\t24 & 1000 & 100 & 0.3 & 0.10 & 0.92 & 0.55 ( 0.02 ) & 0.51 ( 0.15 ) & 0 ( 0 ) & 0.55 & 0.51 & 0.00 \\\\\n", + "\t40 & 1000 & 100 & 0.5 & 0.10 & 0.93 & 0.8 ( 0.03 ) & 0.4 ( 0.09 ) & 0 ( 0 ) & 0.80 & 0.40 & 0.00 \\\\\n", + "\t56 & 1000 & 100 & 0.7 & 0.10 & 0.94 & 1.08 ( 0.04 ) & 0.36 ( 0.09 ) & 0 ( 0 ) & 1.08 & 0.36 & 0.00 \\\\\n", + "\t72 & 1000 & 100 & 0.9 & 0.10 & 0.94 & 1.32 ( 0.05 ) & 0.34 ( 0.1 ) & 0 ( 0 ) & 1.32 & 0.34 & 0.00 \\\\\n", + "\t12 & 1000 & 500 & 0.1 & 0.50 & 0.14 & 0.3 ( 0 ) & 19.4 ( 1.74 ) & 2.05 ( 0.12 ) & 0.30 & 19.40 & 2.05 \\\\\n", + "\t28 & 1000 & 500 & 0.3 & 0.50 & 0.92 & 0.57 ( 0.02 ) & 0.49 ( 0.14 ) & 0 ( 0 ) & 0.57 & 0.49 & 0.00 \\\\\n", + "\t44 & 1000 & 500 & 0.5 & 0.50 & 0.97 & 0.87 ( 0.03 ) & 0.19 ( 0.06 ) & 0 ( 0 ) & 0.87 & 0.19 & 0.00 \\\\\n", + "\t60 & 1000 & 500 & 0.7 & 0.50 & 0.98 & 1.14 ( 0.04 ) & 0.14 ( 0.04 ) & 0 ( 0 ) & 1.14 & 0.14 & 0.00 \\\\\n", + "\t76 & 1000 & 500 & 0.9 & 0.50 & 0.96 & 1.31 ( 0.05 ) & 0.23 ( 0.06 ) & 0 ( 0 ) & 1.31 & 0.23 & 0.00 \\\\\n", + "\t16 & 1000 & 1000 & 0.1 & 1.00 & 0.21 & 0.31 ( 0 ) & 8.59 ( 1.37 ) & 2.96 ( 0.1 ) & 0.31 & 8.59 & 2.96 \\\\\n", + "\t32 & 1000 & 1000 & 0.3 & 1.00 & 0.95 & 0.56 ( 0.02 ) & 0.29 ( 0.08 ) & 0 ( 0 ) & 0.56 & 0.29 & 0.00 \\\\\n", + "\t48 & 1000 & 1000 & 0.5 & 1.00 & 0.95 & 0.85 ( 0.02 ) & 0.3 ( 0.11 ) & 0 ( 0 ) & 0.85 & 0.30 & 0.00 \\\\\n", + "\t64 & 1000 & 1000 & 0.7 & 1.00 & 0.97 & 1.13 ( 0.04 ) & 0.21 ( 0.07 ) & 0 ( 0 ) & 1.13 & 0.21 & 0.00 \\\\\n", + "\t80 & 1000 & 1000 & 0.9 & 1.00 & 0.95 & 1.35 ( 0.05 ) & 0.29 ( 0.09 ) & 0 ( 0 ) & 1.35 & 0.29 & 0.00 \\\\\n", + "\\end{tabular}\n" + ], + "text/markdown": [ + "\n", + "| | N | P | Corr | Ratio | Stab | MSE | FP | FN | MSE_mean | FP_mean | FN_mean |\n", + "|---|---|---|---|---|---|---|---|---|---|---|---|\n", + "| 1 | 50 | 50 | 0.1 | 1.0 | 0.03 | 0.36 ( 0.01 ) | 2.8 ( 0.36 ) | 5.01 ( 0.09 ) | 0.36 | 2.80 | 5.01 |\n", + "| 17 | 50 | 50 | 0.3 | 1.0 | 0.32 | 0.8 ( 0.05 ) | 5.34 ( 0.32 ) | 1.21 ( 0.12 ) | 0.80 | 5.34 | 1.21 |\n", + "| 33 | 50 | 50 | 0.5 | 1.0 | 0.42 | 0.77 ( 0.04 ) | 5.49 ( 0.31 ) | 0.25 ( 0.06 ) | 0.77 | 5.49 | 0.25 |\n", + "| 49 | 50 | 50 | 0.7 | 1.0 | 0.49 | 0.8 ( 0.06 ) | 4.27 ( 0.31 ) | 0.24 ( 0.06 ) | 0.80 | 4.27 | 0.24 |\n", + "| 65 | 50 | 50 | 0.9 | 1.0 | 0.48 | 0.92 ( 0.07 ) | 4.7 ( 0.32 ) | 0.14 ( 0.04 ) | 0.92 | 4.70 | 0.14 |\n", + "| 5 | 50 | 100 | 0.1 | 2.0 | 0.04 | 0.37 ( 0.02 ) | 2.54 ( 0.37 ) | 5.22 ( 0.08 ) | 0.37 | 2.54 | 5.22 |\n", + "| 21 | 50 | 100 | 0.3 | 2.0 | 0.27 | 0.94 ( 0.05 ) | 6 ( 0.34 ) | 1.93 ( 0.14 ) | 0.94 | 6.00 | 1.93 |\n", + "| 37 | 50 | 100 | 0.5 | 2.0 | 0.36 | 1.03 ( 0.07 ) | 5.95 ( 0.33 ) | 0.96 ( 0.11 ) | 1.03 | 5.95 | 0.96 |\n", + "| 53 | 50 | 100 | 0.7 | 2.0 | 0.42 | 1.14 ( 0.08 ) | 5.46 ( 0.32 ) | 0.55 ( 0.09 ) | 1.14 | 5.46 | 0.55 |\n", + "| 69 | 50 | 100 | 0.9 | 2.0 | 0.42 | 1.28 ( 0.08 ) | 5.86 ( 0.29 ) | 0.47 ( 0.09 ) | 1.28 | 5.86 | 0.47 |\n", + "| 9 | 50 | 500 | 0.1 | 10.0 | 0.01 | 0.36 ( 0.02 ) | 3.53 ( 0.44 ) | 5.62 ( 0.07 ) | 0.36 | 3.53 | 5.62 |\n", + "| 25 | 50 | 500 | 0.3 | 10.0 | 0.13 | 1.31 ( 0.06 ) | 5.44 ( 0.44 ) | 3.96 ( 0.15 ) | 1.31 | 5.44 | 3.96 |\n", + "| 41 | 50 | 500 | 0.5 | 10.0 | 0.22 | 1.93 ( 0.1 ) | 5.08 ( 0.41 ) | 3.23 ( 0.15 ) | 1.93 | 5.08 | 3.23 |\n", + "| 57 | 50 | 500 | 0.7 | 10.0 | 0.26 | 2.76 ( 0.17 ) | 5.16 ( 0.4 ) | 2.65 ( 0.15 ) | 2.76 | 5.16 | 2.65 |\n", + "| 73 | 50 | 500 | 0.9 | 10.0 | 0.25 | 3.06 ( 0.18 ) | 5.42 ( 0.4 ) | 2.69 ( 0.15 ) | 3.06 | 5.42 | 2.69 |\n", + "| 13 | 50 | 1000 | 0.1 | 20.0 | 0.00 | 0.37 ( 0.02 ) | 4.53 ( 0.54 ) | 5.71 ( 0.06 ) | 0.37 | 4.53 | 5.71 |\n", + "| 29 | 50 | 1000 | 0.3 | 20.0 | 0.07 | 1.55 ( 0.08 ) | 3.96 ( 0.47 ) | 4.74 ( 0.14 ) | 1.55 | 3.96 | 4.74 |\n", + "| 45 | 50 | 1000 | 0.5 | 20.0 | 0.15 | 2.1 ( 0.11 ) | 5.84 ( 0.49 ) | 3.77 ( 0.14 ) | 2.10 | 5.84 | 3.77 |\n", + "| 61 | 50 | 1000 | 0.7 | 20.0 | 0.20 | 3.02 ( 0.16 ) | 5.41 ( 0.43 ) | 3.39 ( 0.13 ) | 3.02 | 5.41 | 3.39 |\n", + "| 77 | 50 | 1000 | 0.9 | 20.0 | 0.23 | 3.37 ( 0.19 ) | 5.29 ( 0.41 ) | 3.13 ( 0.15 ) | 3.37 | 5.29 | 3.13 |\n", + "| 2 | 100 | 50 | 0.1 | 0.5 | 0.10 | 0.32 ( 0.01 ) | 4.96 ( 0.55 ) | 3.77 ( 0.14 ) | 0.32 | 4.96 | 3.77 |\n", + "| 18 | 100 | 50 | 0.3 | 0.5 | 0.50 | 0.52 ( 0.02 ) | 4.42 ( 0.52 ) | 0.1 ( 0.03 ) | 0.52 | 4.42 | 0.10 |\n", + "| 34 | 100 | 50 | 0.5 | 0.5 | 0.68 | 0.6 ( 0.03 ) | 2.34 ( 0.31 ) | 0.01 ( 0.01 ) | 0.60 | 2.34 | 0.01 |\n", + "| 50 | 100 | 50 | 0.7 | 0.5 | 0.75 | 0.75 ( 0.03 ) | 1.71 ( 0.28 ) | 0 ( 0 ) | 0.75 | 1.71 | 0.00 |\n", + "| 66 | 100 | 50 | 0.9 | 0.5 | 0.76 | 0.94 ( 0.05 ) | 1.59 ( 0.25 ) | 0 ( 0 ) | 0.94 | 1.59 | 0.00 |\n", + "| 6 | 100 | 100 | 0.1 | 1.0 | 0.07 | 0.35 ( 0.01 ) | 3.99 ( 0.57 ) | 4.63 ( 0.1 ) | 0.35 | 3.99 | 4.63 |\n", + "| 22 | 100 | 100 | 0.3 | 1.0 | 0.47 | 0.53 ( 0.02 ) | 5.24 ( 0.45 ) | 0.24 ( 0.06 ) | 0.53 | 5.24 | 0.24 |\n", + "| 38 | 100 | 100 | 0.5 | 1.0 | 0.65 | 0.64 ( 0.03 ) | 2.9 ( 0.32 ) | 0.03 ( 0.02 ) | 0.64 | 2.90 | 0.03 |\n", + "| 54 | 100 | 100 | 0.7 | 1.0 | 0.69 | 0.82 ( 0.04 ) | 2.46 ( 0.41 ) | 0 ( 0 ) | 0.82 | 2.46 | 0.00 |\n", + "| 70 | 100 | 100 | 0.9 | 1.0 | 0.81 | 0.94 ( 0.04 ) | 1.34 ( 0.23 ) | 0 ( 0 ) | 0.94 | 1.34 | 0.00 |\n", + "| ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... |\n", + "| 11 | 500 | 500 | 0.1 | 1.00 | 0.36 | 0.32 ( 0.01 ) | 2.42 ( 0.56 ) | 3.74 ( 0.08 ) | 0.32 | 2.42 | 3.74 |\n", + "| 27 | 500 | 500 | 0.3 | 1.00 | 0.95 | 0.55 ( 0.01 ) | 0.31 ( 0.08 ) | 0 ( 0 ) | 0.55 | 0.31 | 0.00 |\n", + "| 43 | 500 | 500 | 0.5 | 1.00 | 0.94 | 0.83 ( 0.03 ) | 0.36 ( 0.11 ) | 0 ( 0 ) | 0.83 | 0.36 | 0.00 |\n", + "| 59 | 500 | 500 | 0.7 | 1.00 | 0.94 | 1.05 ( 0.04 ) | 0.35 ( 0.1 ) | 0 ( 0 ) | 1.05 | 0.35 | 0.00 |\n", + "| 75 | 500 | 500 | 0.9 | 1.00 | 0.93 | 1.27 ( 0.05 ) | 0.44 ( 0.18 ) | 0 ( 0 ) | 1.27 | 0.44 | 0.00 |\n", + "| 15 | 500 | 1000 | 0.1 | 2.00 | 0.52 | 0.34 ( 0 ) | 0.93 ( 0.19 ) | 3.83 ( 0.06 ) | 0.34 | 0.93 | 3.83 |\n", + "| 31 | 500 | 1000 | 0.3 | 2.00 | 0.92 | 0.56 ( 0.01 ) | 0.52 ( 0.14 ) | 0 ( 0 ) | 0.56 | 0.52 | 0.00 |\n", + "| 47 | 500 | 1000 | 0.5 | 2.00 | 0.98 | 0.86 ( 0.02 ) | 0.13 ( 0.05 ) | 0 ( 0 ) | 0.86 | 0.13 | 0.00 |\n", + "| 63 | 500 | 1000 | 0.7 | 2.00 | 0.95 | 1.04 ( 0.04 ) | 0.31 ( 0.1 ) | 0 ( 0 ) | 1.04 | 0.31 | 0.00 |\n", + "| 79 | 500 | 1000 | 0.9 | 2.00 | 0.96 | 1.28 ( 0.04 ) | 0.27 ( 0.11 ) | 0 ( 0 ) | 1.28 | 0.27 | 0.00 |\n", + "| 4 | 1000 | 50 | 0.1 | 0.05 | 0.31 | 0.27 ( 0 ) | 8.37 ( 0.37 ) | 0.24 ( 0.06 ) | 0.27 | 8.37 | 0.24 |\n", + "| 20 | 1000 | 50 | 0.3 | 0.05 | 0.89 | 0.56 ( 0.02 ) | 0.66 ( 0.18 ) | 0 ( 0 ) | 0.56 | 0.66 | 0.00 |\n", + "| 36 | 1000 | 50 | 0.5 | 0.05 | 0.88 | 0.78 ( 0.03 ) | 0.7 ( 0.21 ) | 0 ( 0 ) | 0.78 | 0.70 | 0.00 |\n", + "| 52 | 1000 | 50 | 0.7 | 0.05 | 0.92 | 0.98 ( 0.04 ) | 0.43 ( 0.09 ) | 0 ( 0 ) | 0.98 | 0.43 | 0.00 |\n", + "| 68 | 1000 | 50 | 0.9 | 0.05 | 0.89 | 1.28 ( 0.05 ) | 0.62 ( 0.19 ) | 0 ( 0 ) | 1.28 | 0.62 | 0.00 |\n", + "| 8 | 1000 | 100 | 0.1 | 0.10 | 0.23 | 0.28 ( 0 ) | 13.35 ( 0.59 ) | 0.47 ( 0.07 ) | 0.28 | 13.30 | 0.47 |\n", + "| 24 | 1000 | 100 | 0.3 | 0.10 | 0.92 | 0.55 ( 0.02 ) | 0.51 ( 0.15 ) | 0 ( 0 ) | 0.55 | 0.51 | 0.00 |\n", + "| 40 | 1000 | 100 | 0.5 | 0.10 | 0.93 | 0.8 ( 0.03 ) | 0.4 ( 0.09 ) | 0 ( 0 ) | 0.80 | 0.40 | 0.00 |\n", + "| 56 | 1000 | 100 | 0.7 | 0.10 | 0.94 | 1.08 ( 0.04 ) | 0.36 ( 0.09 ) | 0 ( 0 ) | 1.08 | 0.36 | 0.00 |\n", + "| 72 | 1000 | 100 | 0.9 | 0.10 | 0.94 | 1.32 ( 0.05 ) | 0.34 ( 0.1 ) | 0 ( 0 ) | 1.32 | 0.34 | 0.00 |\n", + "| 12 | 1000 | 500 | 0.1 | 0.50 | 0.14 | 0.3 ( 0 ) | 19.4 ( 1.74 ) | 2.05 ( 0.12 ) | 0.30 | 19.40 | 2.05 |\n", + "| 28 | 1000 | 500 | 0.3 | 0.50 | 0.92 | 0.57 ( 0.02 ) | 0.49 ( 0.14 ) | 0 ( 0 ) | 0.57 | 0.49 | 0.00 |\n", + "| 44 | 1000 | 500 | 0.5 | 0.50 | 0.97 | 0.87 ( 0.03 ) | 0.19 ( 0.06 ) | 0 ( 0 ) | 0.87 | 0.19 | 0.00 |\n", + "| 60 | 1000 | 500 | 0.7 | 0.50 | 0.98 | 1.14 ( 0.04 ) | 0.14 ( 0.04 ) | 0 ( 0 ) | 1.14 | 0.14 | 0.00 |\n", + "| 76 | 1000 | 500 | 0.9 | 0.50 | 0.96 | 1.31 ( 0.05 ) | 0.23 ( 0.06 ) | 0 ( 0 ) | 1.31 | 0.23 | 0.00 |\n", + "| 16 | 1000 | 1000 | 0.1 | 1.00 | 0.21 | 0.31 ( 0 ) | 8.59 ( 1.37 ) | 2.96 ( 0.1 ) | 0.31 | 8.59 | 2.96 |\n", + "| 32 | 1000 | 1000 | 0.3 | 1.00 | 0.95 | 0.56 ( 0.02 ) | 0.29 ( 0.08 ) | 0 ( 0 ) | 0.56 | 0.29 | 0.00 |\n", + "| 48 | 1000 | 1000 | 0.5 | 1.00 | 0.95 | 0.85 ( 0.02 ) | 0.3 ( 0.11 ) | 0 ( 0 ) | 0.85 | 0.30 | 0.00 |\n", + "| 64 | 1000 | 1000 | 0.7 | 1.00 | 0.97 | 1.13 ( 0.04 ) | 0.21 ( 0.07 ) | 0 ( 0 ) | 1.13 | 0.21 | 0.00 |\n", + "| 80 | 1000 | 1000 | 0.9 | 1.00 | 0.95 | 1.35 ( 0.05 ) | 0.29 ( 0.09 ) | 0 ( 0 ) | 1.35 | 0.29 | 0.00 |\n", + "\n" + ], + "text/plain": [ + " N P Corr Ratio Stab MSE FP FN \n", + "1 50 50 0.1 1.0 0.03 0.36 ( 0.01 ) 2.8 ( 0.36 ) 5.01 ( 0.09 )\n", + "17 50 50 0.3 1.0 0.32 0.8 ( 0.05 ) 5.34 ( 0.32 ) 1.21 ( 0.12 )\n", + "33 50 50 0.5 1.0 0.42 0.77 ( 0.04 ) 5.49 ( 0.31 ) 0.25 ( 0.06 )\n", + "49 50 50 0.7 1.0 0.49 0.8 ( 0.06 ) 4.27 ( 0.31 ) 0.24 ( 0.06 )\n", + "65 50 50 0.9 1.0 0.48 0.92 ( 0.07 ) 4.7 ( 0.32 ) 0.14 ( 0.04 )\n", + "5 50 100 0.1 2.0 0.04 0.37 ( 0.02 ) 2.54 ( 0.37 ) 5.22 ( 0.08 )\n", + "21 50 100 0.3 2.0 0.27 0.94 ( 0.05 ) 6 ( 0.34 ) 1.93 ( 0.14 )\n", + "37 50 100 0.5 2.0 0.36 1.03 ( 0.07 ) 5.95 ( 0.33 ) 0.96 ( 0.11 )\n", + "53 50 100 0.7 2.0 0.42 1.14 ( 0.08 ) 5.46 ( 0.32 ) 0.55 ( 0.09 )\n", + "69 50 100 0.9 2.0 0.42 1.28 ( 0.08 ) 5.86 ( 0.29 ) 0.47 ( 0.09 )\n", + "9 50 500 0.1 10.0 0.01 0.36 ( 0.02 ) 3.53 ( 0.44 ) 5.62 ( 0.07 )\n", + "25 50 500 0.3 10.0 0.13 1.31 ( 0.06 ) 5.44 ( 0.44 ) 3.96 ( 0.15 )\n", + "41 50 500 0.5 10.0 0.22 1.93 ( 0.1 ) 5.08 ( 0.41 ) 3.23 ( 0.15 )\n", + "57 50 500 0.7 10.0 0.26 2.76 ( 0.17 ) 5.16 ( 0.4 ) 2.65 ( 0.15 )\n", + "73 50 500 0.9 10.0 0.25 3.06 ( 0.18 ) 5.42 ( 0.4 ) 2.69 ( 0.15 )\n", + "13 50 1000 0.1 20.0 0.00 0.37 ( 0.02 ) 4.53 ( 0.54 ) 5.71 ( 0.06 )\n", + "29 50 1000 0.3 20.0 0.07 1.55 ( 0.08 ) 3.96 ( 0.47 ) 4.74 ( 0.14 )\n", + "45 50 1000 0.5 20.0 0.15 2.1 ( 0.11 ) 5.84 ( 0.49 ) 3.77 ( 0.14 )\n", + "61 50 1000 0.7 20.0 0.20 3.02 ( 0.16 ) 5.41 ( 0.43 ) 3.39 ( 0.13 )\n", + "77 50 1000 0.9 20.0 0.23 3.37 ( 0.19 ) 5.29 ( 0.41 ) 3.13 ( 0.15 )\n", + "2 100 50 0.1 0.5 0.10 0.32 ( 0.01 ) 4.96 ( 0.55 ) 3.77 ( 0.14 )\n", + "18 100 50 0.3 0.5 0.50 0.52 ( 0.02 ) 4.42 ( 0.52 ) 0.1 ( 0.03 ) \n", + "34 100 50 0.5 0.5 0.68 0.6 ( 0.03 ) 2.34 ( 0.31 ) 0.01 ( 0.01 )\n", + "50 100 50 0.7 0.5 0.75 0.75 ( 0.03 ) 1.71 ( 0.28 ) 0 ( 0 ) \n", + "66 100 50 0.9 0.5 0.76 0.94 ( 0.05 ) 1.59 ( 0.25 ) 0 ( 0 ) \n", + "6 100 100 0.1 1.0 0.07 0.35 ( 0.01 ) 3.99 ( 0.57 ) 4.63 ( 0.1 ) \n", + "22 100 100 0.3 1.0 0.47 0.53 ( 0.02 ) 5.24 ( 0.45 ) 0.24 ( 0.06 )\n", + "38 100 100 0.5 1.0 0.65 0.64 ( 0.03 ) 2.9 ( 0.32 ) 0.03 ( 0.02 )\n", + "54 100 100 0.7 1.0 0.69 0.82 ( 0.04 ) 2.46 ( 0.41 ) 0 ( 0 ) \n", + "70 100 100 0.9 1.0 0.81 0.94 ( 0.04 ) 1.34 ( 0.23 ) 0 ( 0 ) \n", + "... ... ... ... ... ... ... ... ... \n", + "11 500 500 0.1 1.00 0.36 0.32 ( 0.01 ) 2.42 ( 0.56 ) 3.74 ( 0.08 )\n", + "27 500 500 0.3 1.00 0.95 0.55 ( 0.01 ) 0.31 ( 0.08 ) 0 ( 0 ) \n", + "43 500 500 0.5 1.00 0.94 0.83 ( 0.03 ) 0.36 ( 0.11 ) 0 ( 0 ) \n", + "59 500 500 0.7 1.00 0.94 1.05 ( 0.04 ) 0.35 ( 0.1 ) 0 ( 0 ) \n", + "75 500 500 0.9 1.00 0.93 1.27 ( 0.05 ) 0.44 ( 0.18 ) 0 ( 0 ) \n", + "15 500 1000 0.1 2.00 0.52 0.34 ( 0 ) 0.93 ( 0.19 ) 3.83 ( 0.06 )\n", + "31 500 1000 0.3 2.00 0.92 0.56 ( 0.01 ) 0.52 ( 0.14 ) 0 ( 0 ) \n", + "47 500 1000 0.5 2.00 0.98 0.86 ( 0.02 ) 0.13 ( 0.05 ) 0 ( 0 ) \n", + "63 500 1000 0.7 2.00 0.95 1.04 ( 0.04 ) 0.31 ( 0.1 ) 0 ( 0 ) \n", + "79 500 1000 0.9 2.00 0.96 1.28 ( 0.04 ) 0.27 ( 0.11 ) 0 ( 0 ) \n", + "4 1000 50 0.1 0.05 0.31 0.27 ( 0 ) 8.37 ( 0.37 ) 0.24 ( 0.06 )\n", + "20 1000 50 0.3 0.05 0.89 0.56 ( 0.02 ) 0.66 ( 0.18 ) 0 ( 0 ) \n", + "36 1000 50 0.5 0.05 0.88 0.78 ( 0.03 ) 0.7 ( 0.21 ) 0 ( 0 ) \n", + "52 1000 50 0.7 0.05 0.92 0.98 ( 0.04 ) 0.43 ( 0.09 ) 0 ( 0 ) \n", + "68 1000 50 0.9 0.05 0.89 1.28 ( 0.05 ) 0.62 ( 0.19 ) 0 ( 0 ) \n", + "8 1000 100 0.1 0.10 0.23 0.28 ( 0 ) 13.35 ( 0.59 ) 0.47 ( 0.07 )\n", + "24 1000 100 0.3 0.10 0.92 0.55 ( 0.02 ) 0.51 ( 0.15 ) 0 ( 0 ) \n", + "40 1000 100 0.5 0.10 0.93 0.8 ( 0.03 ) 0.4 ( 0.09 ) 0 ( 0 ) \n", + "56 1000 100 0.7 0.10 0.94 1.08 ( 0.04 ) 0.36 ( 0.09 ) 0 ( 0 ) \n", + "72 1000 100 0.9 0.10 0.94 1.32 ( 0.05 ) 0.34 ( 0.1 ) 0 ( 0 ) \n", + "12 1000 500 0.1 0.50 0.14 0.3 ( 0 ) 19.4 ( 1.74 ) 2.05 ( 0.12 )\n", + "28 1000 500 0.3 0.50 0.92 0.57 ( 0.02 ) 0.49 ( 0.14 ) 0 ( 0 ) \n", + "44 1000 500 0.5 0.50 0.97 0.87 ( 0.03 ) 0.19 ( 0.06 ) 0 ( 0 ) \n", + "60 1000 500 0.7 0.50 0.98 1.14 ( 0.04 ) 0.14 ( 0.04 ) 0 ( 0 ) \n", + "76 1000 500 0.9 0.50 0.96 1.31 ( 0.05 ) 0.23 ( 0.06 ) 0 ( 0 ) \n", + "16 1000 1000 0.1 1.00 0.21 0.31 ( 0 ) 8.59 ( 1.37 ) 2.96 ( 0.1 ) \n", + "32 1000 1000 0.3 1.00 0.95 0.56 ( 0.02 ) 0.29 ( 0.08 ) 0 ( 0 ) \n", + "48 1000 1000 0.5 1.00 0.95 0.85 ( 0.02 ) 0.3 ( 0.11 ) 0 ( 0 ) \n", + "64 1000 1000 0.7 1.00 0.97 1.13 ( 0.04 ) 0.21 ( 0.07 ) 0 ( 0 ) \n", + "80 1000 1000 0.9 1.00 0.95 1.35 ( 0.05 ) 0.29 ( 0.09 ) 0 ( 0 ) \n", + " MSE_mean FP_mean FN_mean\n", + "1 0.36 2.80 5.01 \n", + "17 0.80 5.34 1.21 \n", + "33 0.77 5.49 0.25 \n", + "49 0.80 4.27 0.24 \n", + "65 0.92 4.70 0.14 \n", + "5 0.37 2.54 5.22 \n", + "21 0.94 6.00 1.93 \n", + "37 1.03 5.95 0.96 \n", + "53 1.14 5.46 0.55 \n", + "69 1.28 5.86 0.47 \n", + "9 0.36 3.53 5.62 \n", + "25 1.31 5.44 3.96 \n", + "41 1.93 5.08 3.23 \n", + "57 2.76 5.16 2.65 \n", + "73 3.06 5.42 2.69 \n", + "13 0.37 4.53 5.71 \n", + "29 1.55 3.96 4.74 \n", + "45 2.10 5.84 3.77 \n", + "61 3.02 5.41 3.39 \n", + "77 3.37 5.29 3.13 \n", + "2 0.32 4.96 3.77 \n", + "18 0.52 4.42 0.10 \n", + "34 0.60 2.34 0.01 \n", + "50 0.75 1.71 0.00 \n", + "66 0.94 1.59 0.00 \n", + "6 0.35 3.99 4.63 \n", + "22 0.53 5.24 0.24 \n", + "38 0.64 2.90 0.03 \n", + "54 0.82 2.46 0.00 \n", + "70 0.94 1.34 0.00 \n", + "... ... ... ... \n", + "11 0.32 2.42 3.74 \n", + "27 0.55 0.31 0.00 \n", + "43 0.83 0.36 0.00 \n", + "59 1.05 0.35 0.00 \n", + "75 1.27 0.44 0.00 \n", + "15 0.34 0.93 3.83 \n", + "31 0.56 0.52 0.00 \n", + "47 0.86 0.13 0.00 \n", + "63 1.04 0.31 0.00 \n", + "79 1.28 0.27 0.00 \n", + "4 0.27 8.37 0.24 \n", + "20 0.56 0.66 0.00 \n", + "36 0.78 0.70 0.00 \n", + "52 0.98 0.43 0.00 \n", + "68 1.28 0.62 0.00 \n", + "8 0.28 13.30 0.47 \n", + "24 0.55 0.51 0.00 \n", + "40 0.80 0.40 0.00 \n", + "56 1.08 0.36 0.00 \n", + "72 1.32 0.34 0.00 \n", + "12 0.30 19.40 2.05 \n", + "28 0.57 0.49 0.00 \n", + "44 0.87 0.19 0.00 \n", + "60 1.14 0.14 0.00 \n", + "76 1.31 0.23 0.00 \n", + "16 0.31 8.59 2.96 \n", + "32 0.56 0.29 0.00 \n", + "48 0.85 0.30 0.00 \n", + "64 1.13 0.21 0.00 \n", + "80 1.35 0.29 0.00 " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "result.table_block[with(result.table_block, order(N, P, Corr)),]" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "R", + "language": "R", + "name": "ir" + }, + "language_info": { + "codemirror_mode": "r", + "file_extension": ".r", + "mimetype": "text/x-r-source", + "name": "R", + "pygments_lexer": "r", + "version": "3.6.1" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/simulations/notebooks_simulations/sim_block_elnet.ipynb b/simulations/notebooks_simulations/sim_block_elnet.ipynb new file mode 100644 index 0000000..f23dbca --- /dev/null +++ b/simulations/notebooks_simulations/sim_block_elnet.ipynb @@ -0,0 +1,877 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "load('../sim_data/block_Elnet.RData')" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "dir = '../sim_data'\n", + "dim.list = list()\n", + "size = c(50, 100, 500, 1000)\n", + "idx = 0\n", + "for (P in size){\n", + " for (N in size){\n", + " idx = idx + 1\n", + " dim.list[[idx]] = c(P=P, N=N)\n", + " }\n", + "}\n", + "\n", + "rou.list = seq(0.1, 0.9, 0.2)\n", + "\n", + "files = NULL\n", + "for (rou in rou.list){\n", + " for (dim in dim.list){\n", + " p = dim[1]\n", + " n = dim[2]\n", + " files = cbind(files, paste0(dir, '/sim_block_corr', rou, paste('P', p, 'N', n, sep='_'), '.RData', sep=''))\n", + " }\n", + "}" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "avg_FDR = NULL\n", + "for (i in 1:length(files)){\n", + " sim_file = files[i]\n", + " load(sim_file, dat <- new.env())\n", + " sub = dat$sim_array[[i]]\n", + " p = sub$p # take true values from 1st replicate of each simulated data\n", + " coef = sub$beta\n", + " coef.true = which(coef != 0)\n", + " \n", + " tt = results_block_elnet[[i]]$Stab.table\n", + " \n", + " FDR = NULL\n", + " for (r in 1:nrow(tt)){\n", + " FDR = c(FDR, length(setdiff(which(tt[r, ] !=0), coef.true))/sum(tt[r, ]))\n", + "\n", + " }\n", + " \n", + " avg_FDR = c(avg_FDR, mean(FDR, na.rm=T))\n", + "}" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "table_block = NULL\n", + "tmp_num_select = rep(0, length(results_block_elnet))\n", + "for (i in 1:length(results_block_elnet)){\n", + " table_block = rbind(table_block, results_block_elnet[[i]][c('n', 'p', 'rou', 'FP', 'FN', 'MSE', 'Stab')])\n", + " tmp_num_select[i] = mean(rowSums(results_block_elnet[[i]]$Stab.table))\n", + " \n", + "}\n", + "table_block = as.data.frame(table_block)\n", + "table_block$num_select = tmp_num_select\n", + "table_block$FDR = round(avg_FDR,2)" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", + "\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\n", + "
    nprouFPFNMSEStabnum_selectFDR
    50 50 0.1 10.9 ( 0.97 )3.91 ( 0.15 )0.38 ( 0.02 )0.02 11.99 0.77
    100 50 0.1 13.39 ( 1.06 )2.45 ( 0.16 ) 0.34 ( 0.01 ) 0.06 15.94 0.68
    500 50 0.1 19.21 ( 0.81 )0.14 ( 0.04 ) 0.27 ( 0 ) 0.13 24.07 0.73
    1000 50 0.1 18.76 ( 0.63 )0.02 ( 0.01 ) 0.26 ( 0 ) 0.15 23.74 0.73
    50 100 0.1 9.27 ( 0.76 )4.63 ( 0.09 )0.41 ( 0.02 )0.03 9.64 0.82
    100 100 0.1 10.1 ( 1.04 )3.87 ( 0.13 )0.34 ( 0.01 )0.07 11.23 0.70
    \n" + ], + "text/latex": [ + "\\begin{tabular}{r|lllllllll}\n", + " n & p & rou & FP & FN & MSE & Stab & num\\_select & FDR\\\\\n", + "\\hline\n", + "\t 50 & 50 & 0.1 & 10.9 ( 0.97 ) & 3.91 ( 0.15 ) & 0.38 ( 0.02 ) & 0.02 & 11.99 & 0.77 \\\\\n", + "\t 100 & 50 & 0.1 & 13.39 ( 1.06 ) & 2.45 ( 0.16 ) & 0.34 ( 0.01 ) & 0.06 & 15.94 & 0.68 \\\\\n", + "\t 500 & 50 & 0.1 & 19.21 ( 0.81 ) & 0.14 ( 0.04 ) & 0.27 ( 0 ) & 0.13 & 24.07 & 0.73 \\\\\n", + "\t 1000 & 50 & 0.1 & 18.76 ( 0.63 ) & 0.02 ( 0.01 ) & 0.26 ( 0 ) & 0.15 & 23.74 & 0.73 \\\\\n", + "\t 50 & 100 & 0.1 & 9.27 ( 0.76 ) & 4.63 ( 0.09 ) & 0.41 ( 0.02 ) & 0.03 & 9.64 & 0.82 \\\\\n", + "\t 100 & 100 & 0.1 & 10.1 ( 1.04 ) & 3.87 ( 0.13 ) & 0.34 ( 0.01 ) & 0.07 & 11.23 & 0.70 \\\\\n", + "\\end{tabular}\n" + ], + "text/markdown": [ + "\n", + "| n | p | rou | FP | FN | MSE | Stab | num_select | FDR |\n", + "|---|---|---|---|---|---|---|---|---|\n", + "| 50 | 50 | 0.1 | 10.9 ( 0.97 ) | 3.91 ( 0.15 ) | 0.38 ( 0.02 ) | 0.02 | 11.99 | 0.77 |\n", + "| 100 | 50 | 0.1 | 13.39 ( 1.06 ) | 2.45 ( 0.16 ) | 0.34 ( 0.01 ) | 0.06 | 15.94 | 0.68 |\n", + "| 500 | 50 | 0.1 | 19.21 ( 0.81 ) | 0.14 ( 0.04 ) | 0.27 ( 0 ) | 0.13 | 24.07 | 0.73 |\n", + "| 1000 | 50 | 0.1 | 18.76 ( 0.63 ) | 0.02 ( 0.01 ) | 0.26 ( 0 ) | 0.15 | 23.74 | 0.73 |\n", + "| 50 | 100 | 0.1 | 9.27 ( 0.76 ) | 4.63 ( 0.09 ) | 0.41 ( 0.02 ) | 0.03 | 9.64 | 0.82 |\n", + "| 100 | 100 | 0.1 | 10.1 ( 1.04 ) | 3.87 ( 0.13 ) | 0.34 ( 0.01 ) | 0.07 | 11.23 | 0.70 |\n", + "\n" + ], + "text/plain": [ + " n p rou FP FN MSE Stab num_select FDR \n", + "1 50 50 0.1 10.9 ( 0.97 ) 3.91 ( 0.15 ) 0.38 ( 0.02 ) 0.02 11.99 0.77\n", + "2 100 50 0.1 13.39 ( 1.06 ) 2.45 ( 0.16 ) 0.34 ( 0.01 ) 0.06 15.94 0.68\n", + "3 500 50 0.1 19.21 ( 0.81 ) 0.14 ( 0.04 ) 0.27 ( 0 ) 0.13 24.07 0.73\n", + "4 1000 50 0.1 18.76 ( 0.63 ) 0.02 ( 0.01 ) 0.26 ( 0 ) 0.15 23.74 0.73\n", + "5 50 100 0.1 9.27 ( 0.76 ) 4.63 ( 0.09 ) 0.41 ( 0.02 ) 0.03 9.64 0.82\n", + "6 100 100 0.1 10.1 ( 1.04 ) 3.87 ( 0.13 ) 0.34 ( 0.01 ) 0.07 11.23 0.70" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "head(table_block)" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "extract_numeric() is deprecated: please use readr::parse_number() instead\n", + "extract_numeric() is deprecated: please use readr::parse_number() instead\n" + ] + } + ], + "source": [ + "# export result\n", + "result.table_block <- apply(table_block,2,as.character)\n", + "rownames(result.table_block) = rownames(table_block)\n", + "result.table_block = as.data.frame(result.table_block)\n", + "\n", + "# extract numbers only for 'n' & 'p'\n", + "result.table_block$n = tidyr::extract_numeric(result.table_block$n)\n", + "result.table_block$p = tidyr::extract_numeric(result.table_block$p)\n", + "result.table_block$ratio = result.table_block$p / result.table_block$n\n", + "\n", + "result.table_block = result.table_block[c('n', 'p', 'rou', 'ratio', 'Stab', 'MSE', 'FP', 'FN', 'num_select', 'FDR')]\n", + "colnames(result.table_block)[1:4] = c('N', 'P', 'Corr', 'Ratio')" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Warning message in eval(expr, envir, enclos):\n", + "“NAs introduced by coercion”Warning message in eval(expr, envir, enclos):\n", + "“NAs introduced by coercion”" + ] + } + ], + "source": [ + "# convert interested measurements to be numeric\n", + "result.table_block$Stab = as.numeric(as.character(result.table_block$Stab))\n", + "result.table_block$MSE_mean = as.numeric(substr(result.table_block$MSE, start=1, stop=4))\n", + "result.table_block$FP_mean = as.numeric(substr(result.table_block$FP, start=1, stop=4))\n", + "result.table_block$FN_mean = as.numeric(substr(result.table_block$FN, start=1, stop=4))\n", + "result.table_block$FN_mean[is.na(result.table_block$FN_mean)] = 0\n", + "result.table_block$num_select = as.numeric(as.character(result.table_block$num_select))" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", + "\n", + "\t\n", + "\n", + "
    NPCorrRatioStabMSEFPFNnum_selectFDRMSE_meanFP_meanFN_mean
    4550 1000 0.5 20 0.04 2 ( 0.1 ) 52.83 ( 3.84 )2.29 ( 0.1 ) 55.54 0.91 NA 52.8 2.29
    \n" + ], + "text/latex": [ + "\\begin{tabular}{r|lllllllllllll}\n", + " & N & P & Corr & Ratio & Stab & MSE & FP & FN & num\\_select & FDR & MSE\\_mean & FP\\_mean & FN\\_mean\\\\\n", + "\\hline\n", + "\t45 & 50 & 1000 & 0.5 & 20 & 0.04 & 2 ( 0.1 ) & 52.83 ( 3.84 ) & 2.29 ( 0.1 ) & 55.54 & 0.91 & NA & 52.8 & 2.29 \\\\\n", + "\\end{tabular}\n" + ], + "text/markdown": [ + "\n", + "| | N | P | Corr | Ratio | Stab | MSE | FP | FN | num_select | FDR | MSE_mean | FP_mean | FN_mean |\n", + "|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n", + "| 45 | 50 | 1000 | 0.5 | 20 | 0.04 | 2 ( 0.1 ) | 52.83 ( 3.84 ) | 2.29 ( 0.1 ) | 55.54 | 0.91 | NA | 52.8 | 2.29 |\n", + "\n" + ], + "text/plain": [ + " N P Corr Ratio Stab MSE FP FN num_select\n", + "45 50 1000 0.5 20 0.04 2 ( 0.1 ) 52.83 ( 3.84 ) 2.29 ( 0.1 ) 55.54 \n", + " FDR MSE_mean FP_mean FN_mean\n", + "45 0.91 NA 52.8 2.29 " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# check whether missing values exists\n", + "result.table_block[rowSums(is.na(result.table_block)) > 0,]" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [], + "source": [ + "# recover values\n", + "result.table_block$MSE_mean[45] = 2" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", + "\n", + "\t\n", + "\n", + "
    NPCorrRatioStabMSEFPFNnum_selectFDRMSE_meanFP_meanFN_mean
    4550 1000 0.5 20 0.04 2 ( 0.1 ) 52.83 ( 3.84 )2.29 ( 0.1 ) 55.54 0.91 2 52.8 2.29
    \n" + ], + "text/latex": [ + "\\begin{tabular}{r|lllllllllllll}\n", + " & N & P & Corr & Ratio & Stab & MSE & FP & FN & num\\_select & FDR & MSE\\_mean & FP\\_mean & FN\\_mean\\\\\n", + "\\hline\n", + "\t45 & 50 & 1000 & 0.5 & 20 & 0.04 & 2 ( 0.1 ) & 52.83 ( 3.84 ) & 2.29 ( 0.1 ) & 55.54 & 0.91 & 2 & 52.8 & 2.29 \\\\\n", + "\\end{tabular}\n" + ], + "text/markdown": [ + "\n", + "| | N | P | Corr | Ratio | Stab | MSE | FP | FN | num_select | FDR | MSE_mean | FP_mean | FN_mean |\n", + "|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n", + "| 45 | 50 | 1000 | 0.5 | 20 | 0.04 | 2 ( 0.1 ) | 52.83 ( 3.84 ) | 2.29 ( 0.1 ) | 55.54 | 0.91 | 2 | 52.8 | 2.29 |\n", + "\n" + ], + "text/plain": [ + " N P Corr Ratio Stab MSE FP FN num_select\n", + "45 50 1000 0.5 20 0.04 2 ( 0.1 ) 52.83 ( 3.84 ) 2.29 ( 0.1 ) 55.54 \n", + " FDR MSE_mean FP_mean FN_mean\n", + "45 0.91 2 52.8 2.29 " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "result.table_block[45, ]" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", + "\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\n", + "
    NPCorrRatioStabMSEFPFNnum_selectFDRMSE_meanFP_meanFN_mean
    50 50 0.1 1.00 0.02 0.38 ( 0.02 ) 10.9 ( 0.97 ) 3.91 ( 0.15 ) 11.99 0.77 0.38 10.90 3.91
    100 50 0.1 0.50 0.06 0.34 ( 0.01 ) 13.39 ( 1.06 )2.45 ( 0.16 ) 15.94 0.68 0.34 13.30 2.45
    500 50 0.1 0.10 0.13 0.27 ( 0 ) 19.21 ( 0.81 )0.14 ( 0.04 ) 24.07 0.73 0.27 19.20 0.14
    1000 50 0.1 0.05 0.15 0.26 ( 0 ) 18.76 ( 0.63 )0.02 ( 0.01 ) 23.74 0.73 0.26 18.70 0.02
    50 100 0.1 2.00 0.03 0.41 ( 0.02 ) 9.27 ( 0.76 ) 4.63 ( 0.09 ) 9.64 0.82 0.41 9.27 4.63
    100 100 0.1 1.00 0.07 0.34 ( 0.01 ) 10.1 ( 1.04 ) 3.87 ( 0.13 ) 11.23 0.7 0.34 10.10 3.87
    \n" + ], + "text/latex": [ + "\\begin{tabular}{r|lllllllllllll}\n", + " N & P & Corr & Ratio & Stab & MSE & FP & FN & num\\_select & FDR & MSE\\_mean & FP\\_mean & FN\\_mean\\\\\n", + "\\hline\n", + "\t 50 & 50 & 0.1 & 1.00 & 0.02 & 0.38 ( 0.02 ) & 10.9 ( 0.97 ) & 3.91 ( 0.15 ) & 11.99 & 0.77 & 0.38 & 10.90 & 3.91 \\\\\n", + "\t 100 & 50 & 0.1 & 0.50 & 0.06 & 0.34 ( 0.01 ) & 13.39 ( 1.06 ) & 2.45 ( 0.16 ) & 15.94 & 0.68 & 0.34 & 13.30 & 2.45 \\\\\n", + "\t 500 & 50 & 0.1 & 0.10 & 0.13 & 0.27 ( 0 ) & 19.21 ( 0.81 ) & 0.14 ( 0.04 ) & 24.07 & 0.73 & 0.27 & 19.20 & 0.14 \\\\\n", + "\t 1000 & 50 & 0.1 & 0.05 & 0.15 & 0.26 ( 0 ) & 18.76 ( 0.63 ) & 0.02 ( 0.01 ) & 23.74 & 0.73 & 0.26 & 18.70 & 0.02 \\\\\n", + "\t 50 & 100 & 0.1 & 2.00 & 0.03 & 0.41 ( 0.02 ) & 9.27 ( 0.76 ) & 4.63 ( 0.09 ) & 9.64 & 0.82 & 0.41 & 9.27 & 4.63 \\\\\n", + "\t 100 & 100 & 0.1 & 1.00 & 0.07 & 0.34 ( 0.01 ) & 10.1 ( 1.04 ) & 3.87 ( 0.13 ) & 11.23 & 0.7 & 0.34 & 10.10 & 3.87 \\\\\n", + "\\end{tabular}\n" + ], + "text/markdown": [ + "\n", + "| N | P | Corr | Ratio | Stab | MSE | FP | FN | num_select | FDR | MSE_mean | FP_mean | FN_mean |\n", + "|---|---|---|---|---|---|---|---|---|---|---|---|---|\n", + "| 50 | 50 | 0.1 | 1.00 | 0.02 | 0.38 ( 0.02 ) | 10.9 ( 0.97 ) | 3.91 ( 0.15 ) | 11.99 | 0.77 | 0.38 | 10.90 | 3.91 |\n", + "| 100 | 50 | 0.1 | 0.50 | 0.06 | 0.34 ( 0.01 ) | 13.39 ( 1.06 ) | 2.45 ( 0.16 ) | 15.94 | 0.68 | 0.34 | 13.30 | 2.45 |\n", + "| 500 | 50 | 0.1 | 0.10 | 0.13 | 0.27 ( 0 ) | 19.21 ( 0.81 ) | 0.14 ( 0.04 ) | 24.07 | 0.73 | 0.27 | 19.20 | 0.14 |\n", + "| 1000 | 50 | 0.1 | 0.05 | 0.15 | 0.26 ( 0 ) | 18.76 ( 0.63 ) | 0.02 ( 0.01 ) | 23.74 | 0.73 | 0.26 | 18.70 | 0.02 |\n", + "| 50 | 100 | 0.1 | 2.00 | 0.03 | 0.41 ( 0.02 ) | 9.27 ( 0.76 ) | 4.63 ( 0.09 ) | 9.64 | 0.82 | 0.41 | 9.27 | 4.63 |\n", + "| 100 | 100 | 0.1 | 1.00 | 0.07 | 0.34 ( 0.01 ) | 10.1 ( 1.04 ) | 3.87 ( 0.13 ) | 11.23 | 0.7 | 0.34 | 10.10 | 3.87 |\n", + "\n" + ], + "text/plain": [ + " N P Corr Ratio Stab MSE FP FN \n", + "1 50 50 0.1 1.00 0.02 0.38 ( 0.02 ) 10.9 ( 0.97 ) 3.91 ( 0.15 )\n", + "2 100 50 0.1 0.50 0.06 0.34 ( 0.01 ) 13.39 ( 1.06 ) 2.45 ( 0.16 )\n", + "3 500 50 0.1 0.10 0.13 0.27 ( 0 ) 19.21 ( 0.81 ) 0.14 ( 0.04 )\n", + "4 1000 50 0.1 0.05 0.15 0.26 ( 0 ) 18.76 ( 0.63 ) 0.02 ( 0.01 )\n", + "5 50 100 0.1 2.00 0.03 0.41 ( 0.02 ) 9.27 ( 0.76 ) 4.63 ( 0.09 )\n", + "6 100 100 0.1 1.00 0.07 0.34 ( 0.01 ) 10.1 ( 1.04 ) 3.87 ( 0.13 )\n", + " num_select FDR MSE_mean FP_mean FN_mean\n", + "1 11.99 0.77 0.38 10.90 3.91 \n", + "2 15.94 0.68 0.34 13.30 2.45 \n", + "3 24.07 0.73 0.27 19.20 0.14 \n", + "4 23.74 0.73 0.26 18.70 0.02 \n", + "5 9.64 0.82 0.41 9.27 4.63 \n", + "6 11.23 0.7 0.34 10.10 3.87 " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "head(result.table_block)" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", + "\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\n", + "
    NPCorrRatioStabMSEFPFNnum_selectFDRMSE_meanFP_meanFN_mean
    75 500 500 0.9 1.0 0.15 0.28 ( 0 ) 32.6 ( 1.76 ) 0 ( 0 ) 37.60 0.81 0.28 32.6 0.00
    761000 500 0.9 0.5 0.16 0.26 ( 0 ) 30.4 ( 1.66 ) 0 ( 0 ) 35.40 0.79 0.26 30.4 0.00
    77 50 1000 0.9 20.0 0.07 3.06 ( 0.18 ) 43.09 ( 2.82 )1.57 ( 0.1 ) 46.52 0.88 3.06 43.0 1.57
    78 100 1000 0.9 10.0 0.12 0.59 ( 0.03 ) 43.91 ( 1.31 )0 ( 0 ) 48.91 0.87 0.59 43.9 0.00
    79 500 1000 0.9 2.0 0.12 0.29 ( 0 ) 41.57 ( 2.28 )0 ( 0 ) 46.57 0.84 0.29 41.5 0.00
    801000 1000 0.9 1.0 0.13 0.27 ( 0 ) 38.76 ( 2.16 )0 ( 0 ) 43.76 0.82 0.27 38.7 0.00
    \n" + ], + "text/latex": [ + "\\begin{tabular}{r|lllllllllllll}\n", + " & N & P & Corr & Ratio & Stab & MSE & FP & FN & num\\_select & FDR & MSE\\_mean & FP\\_mean & FN\\_mean\\\\\n", + "\\hline\n", + "\t75 & 500 & 500 & 0.9 & 1.0 & 0.15 & 0.28 ( 0 ) & 32.6 ( 1.76 ) & 0 ( 0 ) & 37.60 & 0.81 & 0.28 & 32.6 & 0.00 \\\\\n", + "\t76 & 1000 & 500 & 0.9 & 0.5 & 0.16 & 0.26 ( 0 ) & 30.4 ( 1.66 ) & 0 ( 0 ) & 35.40 & 0.79 & 0.26 & 30.4 & 0.00 \\\\\n", + "\t77 & 50 & 1000 & 0.9 & 20.0 & 0.07 & 3.06 ( 0.18 ) & 43.09 ( 2.82 ) & 1.57 ( 0.1 ) & 46.52 & 0.88 & 3.06 & 43.0 & 1.57 \\\\\n", + "\t78 & 100 & 1000 & 0.9 & 10.0 & 0.12 & 0.59 ( 0.03 ) & 43.91 ( 1.31 ) & 0 ( 0 ) & 48.91 & 0.87 & 0.59 & 43.9 & 0.00 \\\\\n", + "\t79 & 500 & 1000 & 0.9 & 2.0 & 0.12 & 0.29 ( 0 ) & 41.57 ( 2.28 ) & 0 ( 0 ) & 46.57 & 0.84 & 0.29 & 41.5 & 0.00 \\\\\n", + "\t80 & 1000 & 1000 & 0.9 & 1.0 & 0.13 & 0.27 ( 0 ) & 38.76 ( 2.16 ) & 0 ( 0 ) & 43.76 & 0.82 & 0.27 & 38.7 & 0.00 \\\\\n", + "\\end{tabular}\n" + ], + "text/markdown": [ + "\n", + "| | N | P | Corr | Ratio | Stab | MSE | FP | FN | num_select | FDR | MSE_mean | FP_mean | FN_mean |\n", + "|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n", + "| 75 | 500 | 500 | 0.9 | 1.0 | 0.15 | 0.28 ( 0 ) | 32.6 ( 1.76 ) | 0 ( 0 ) | 37.60 | 0.81 | 0.28 | 32.6 | 0.00 |\n", + "| 76 | 1000 | 500 | 0.9 | 0.5 | 0.16 | 0.26 ( 0 ) | 30.4 ( 1.66 ) | 0 ( 0 ) | 35.40 | 0.79 | 0.26 | 30.4 | 0.00 |\n", + "| 77 | 50 | 1000 | 0.9 | 20.0 | 0.07 | 3.06 ( 0.18 ) | 43.09 ( 2.82 ) | 1.57 ( 0.1 ) | 46.52 | 0.88 | 3.06 | 43.0 | 1.57 |\n", + "| 78 | 100 | 1000 | 0.9 | 10.0 | 0.12 | 0.59 ( 0.03 ) | 43.91 ( 1.31 ) | 0 ( 0 ) | 48.91 | 0.87 | 0.59 | 43.9 | 0.00 |\n", + "| 79 | 500 | 1000 | 0.9 | 2.0 | 0.12 | 0.29 ( 0 ) | 41.57 ( 2.28 ) | 0 ( 0 ) | 46.57 | 0.84 | 0.29 | 41.5 | 0.00 |\n", + "| 80 | 1000 | 1000 | 0.9 | 1.0 | 0.13 | 0.27 ( 0 ) | 38.76 ( 2.16 ) | 0 ( 0 ) | 43.76 | 0.82 | 0.27 | 38.7 | 0.00 |\n", + "\n" + ], + "text/plain": [ + " N P Corr Ratio Stab MSE FP FN \n", + "75 500 500 0.9 1.0 0.15 0.28 ( 0 ) 32.6 ( 1.76 ) 0 ( 0 ) \n", + "76 1000 500 0.9 0.5 0.16 0.26 ( 0 ) 30.4 ( 1.66 ) 0 ( 0 ) \n", + "77 50 1000 0.9 20.0 0.07 3.06 ( 0.18 ) 43.09 ( 2.82 ) 1.57 ( 0.1 )\n", + "78 100 1000 0.9 10.0 0.12 0.59 ( 0.03 ) 43.91 ( 1.31 ) 0 ( 0 ) \n", + "79 500 1000 0.9 2.0 0.12 0.29 ( 0 ) 41.57 ( 2.28 ) 0 ( 0 ) \n", + "80 1000 1000 0.9 1.0 0.13 0.27 ( 0 ) 38.76 ( 2.16 ) 0 ( 0 ) \n", + " num_select FDR MSE_mean FP_mean FN_mean\n", + "75 37.60 0.81 0.28 32.6 0.00 \n", + "76 35.40 0.79 0.26 30.4 0.00 \n", + "77 46.52 0.88 3.06 43.0 1.57 \n", + "78 48.91 0.87 0.59 43.9 0.00 \n", + "79 46.57 0.84 0.29 41.5 0.00 \n", + "80 43.76 0.82 0.27 38.7 0.00 " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "tail(result.table_block)" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [], + "source": [ + "## export\n", + "write.table(result.table_block, '../results_summary/sim_block_elnet.txt', sep='\\t', row.names=F)" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Registered S3 methods overwritten by 'ggplot2':\n", + " method from \n", + " [.quosures rlang\n", + " c.quosures rlang\n", + " print.quosures rlang\n", + "Loading required package: magrittr\n", + "Warning message:\n", + "“Using size for a discrete variable is not advised.”Warning message:\n", + "“Using alpha for a discrete variable is not advised.”Warning message:\n", + "“Using size for a discrete variable is not advised.”Warning message:\n", + "“Using alpha for a discrete variable is not advised.”Warning message:\n", + "“Using size for a discrete variable is not advised.”Warning message:\n", + "“Using alpha for a discrete variable is not advised.”Warning message:\n", + "“Using size for a discrete variable is not advised.”Warning message:\n", + "“Using alpha for a discrete variable is not advised.”file saved to ../figures_sim/figure_block_elnet.pdf\n" + ] + } + ], + "source": [ + "library(ggplot2)\n", + "library(ggpubr)\n", + "result.table_block$N = as.factor(result.table_block$N)\n", + "fig_block_stab = ggplot(result.table_block, aes(x=P, y=Stab, color=N)) + \n", + " geom_point(aes(size = Corr, alpha=Corr)) + theme(legend.position = \"none\") +\n", + " scale_size_discrete(range = c(1,4)) + scale_alpha_discrete(range = c(1, 0.4)) + ylab('Stability')\n", + "\n", + "fig_block_mse = ggplot(result.table_block, aes(x=P, y=MSE_mean, color=N)) + \n", + " geom_point(aes(size = Corr, alpha=Corr)) + theme(legend.position=\"none\") +\n", + " scale_size_discrete(range = c(1,4)) + scale_alpha_discrete(range = c(1, 0.4)) + ylab('MSE')\n", + "\n", + "fig_block_fp = ggplot(result.table_block, aes(x=P, y=FP_mean, color=N)) + \n", + " geom_point(aes(size = Corr, alpha=Corr)) + theme(legend.position = \"none\") +\n", + " scale_size_discrete(range = c(1,4)) + scale_alpha_discrete(range = c(1, 0.4)) + ylab('False Positives')\n", + "\n", + "fig_block_fn = ggplot(result.table_block, aes(x=P, y=FN_mean, color=N)) + \n", + " geom_point(aes(size = Corr, alpha=Corr)) + theme(legend.position = \"none\") +\n", + " scale_size_discrete(range = c(1,4)) + scale_alpha_discrete(range = c(1, 0.4)) + ylab('False Negatives')\n", + "fig = ggarrange(fig_block_stab, fig_block_mse, fig_block_fp, fig_block_fn, ncol=2, nrow=2, \n", + " common.legend = TRUE, legend=\"right\") \n", + "fig = annotate_figure(fig, top = text_grob(\"Block_ElaticNet\"))\n", + "ggexport(fig, filename = \"../figures_sim/figure_block_elnet.pdf\", height=6, width=6)" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", + "\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\n", + "
    NPCorrRatioStabMSEFPFNMSE_meanFP_meanFN_mean
    150 50 0.1 1.0 0.02 0.38 ( 0.02 ) 10.9 ( 0.97 ) 3.91 ( 0.15 ) 0.38 10.90 3.91
    1750 50 0.3 1.0 0.17 0.56 ( 0.03 ) 15.98 ( 0.61 )0.26 ( 0.05 ) 0.56 15.90 0.26
    3350 50 0.5 1.0 0.19 0.65 ( 0.05 ) 15.43 ( 0.64 )0.1 ( 0.04 ) 0.65 15.40 0.10
    4950 50 0.7 1.0 0.18 0.63 ( 0.04 ) 16.71 ( 0.61 )0.04 ( 0.02 ) 0.63 16.70 0.04
    6550 50 0.9 1.0 0.21 0.56 ( 0.03 ) 14.5 ( 0.57 ) 0.03 ( 0.02 ) 0.56 14.50 0.03
    550 100 0.1 2.0 0.03 0.41 ( 0.02 ) 9.27 ( 0.76 ) 4.63 ( 0.09 ) 0.41 9.27 4.63
    2150 100 0.3 2.0 0.13 0.81 ( 0.05 ) 22.23 ( 1.04 )0.7 ( 0.08 ) 0.81 22.20 0.70
    3750 100 0.5 2.0 0.16 0.8 ( 0.05 ) 21.3 ( 0.83 ) 0.3 ( 0.06 ) 0.80 21.30 0.30
    5350 100 0.7 2.0 0.18 0.86 ( 0.07 ) 19.83 ( 0.86 )0.11 ( 0.03 ) 0.86 19.80 0.11
    6950 100 0.9 2.0 0.18 0.75 ( 0.04 ) 20.94 ( 0.7 ) 0.07 ( 0.03 ) 0.75 20.90 0.07
    950 500 0.1 10.0 0.01 0.41 ( 0.02 ) 30.9 ( 3.51 ) 4.65 ( 0.13 ) 0.41 30.90 4.65
    2550 500 0.3 10.0 0.05 1.29 ( 0.07 ) 43.56 ( 3.08 )2.15 ( 0.13 ) 1.29 43.50 2.15
    4150 500 0.5 10.0 0.08 1.61 ( 0.1 ) 36.33 ( 2.13 )1.58 ( 0.11 ) 1.61 36.30 1.58
    5750 500 0.7 10.0 0.10 2.19 ( 0.14 ) 33.13 ( 1.76 )1.25 ( 0.11 ) 2.19 33.10 1.25
    7350 500 0.9 10.0 0.10 2.21 ( 0.15 ) 35.26 ( 2.1 ) 0.98 ( 0.09 ) 2.21 35.20 0.98
    1350 1000 0.1 20.0 0.00 0.41 ( 0.02 ) 38.1 ( 4.05 ) 5.01 ( 0.11 ) 0.41 38.10 5.01
    2950 1000 0.3 20.0 0.03 1.3 ( 0.07 ) 61.12 ( 4.33 )2.56 ( 0.12 ) 1.30 61.10 2.56
    4550 1000 0.5 20.0 0.04 2 ( 0.1 ) 52.83 ( 3.84 )2.29 ( 0.1 ) 2.00 52.80 2.29
    6150 1000 0.7 20.0 0.06 2.43 ( 0.14 ) 41.11 ( 2.8 ) 1.98 ( 0.11 ) 2.43 41.10 1.98
    7750 1000 0.9 20.0 0.07 3.06 ( 0.18 ) 43.09 ( 2.82 )1.57 ( 0.1 ) 3.06 43.00 1.57
    2100 50 0.1 0.5 0.06 0.34 ( 0.01 ) 13.39 ( 1.06 )2.45 ( 0.16 ) 0.34 13.30 2.45
    18100 50 0.3 0.5 0.20 0.34 ( 0.01 ) 15.16 ( 0.6 ) 0 ( 0 ) 0.34 15.10 0.00
    34100 50 0.5 0.5 0.20 0.34 ( 0.01 ) 14.94 ( 0.61 )0 ( 0 ) 0.34 14.90 0.00
    50100 50 0.7 0.5 0.22 0.33 ( 0.01 ) 14.2 ( 0.55 ) 0 ( 0 ) 0.33 14.20 0.00
    66100 50 0.9 0.5 0.23 0.33 ( 0.01 ) 13.9 ( 0.6 ) 0 ( 0 ) 0.33 13.90 0.00
    6100 100 0.1 1.0 0.07 0.34 ( 0.01 ) 10.1 ( 1.04 ) 3.87 ( 0.13 ) 0.34 10.10 3.87
    22100 100 0.3 1.0 0.16 0.42 ( 0.02 ) 23.17 ( 0.94 )0.02 ( 0.01 ) 0.42 23.10 0.02
    38100 100 0.5 1.0 0.18 0.37 ( 0.01 ) 21.74 ( 0.84 )0 ( 0 ) 0.37 21.70 0.00
    54100 100 0.7 1.0 0.17 0.38 ( 0.01 ) 22.59 ( 1.11 )0 ( 0 ) 0.38 22.50 0.00
    70100 100 0.9 1.0 0.18 0.38 ( 0.01 ) 20.8 ( 0.95 ) 0 ( 0 ) 0.38 20.80 0.00
    ....................................
    11500 500 0.1 1.00 0.08 0.32 ( 0 ) 29.71 ( 2.76 )2.55 ( 0.12 ) 0.32 29.7 2.55
    27500 500 0.3 1.00 0.14 0.28 ( 0 ) 35.68 ( 1.62 )0 ( 0 ) 0.28 35.6 0.00
    43500 500 0.5 1.00 0.15 0.28 ( 0 ) 32.67 ( 1.7 ) 0 ( 0 ) 0.28 32.6 0.00
    59500 500 0.7 1.00 0.16 0.28 ( 0 ) 30.18 ( 1.66 )0 ( 0 ) 0.28 30.1 0.00
    75500 500 0.9 1.00 0.15 0.28 ( 0 ) 32.6 ( 1.76 ) 0 ( 0 ) 0.28 32.6 0.00
    15500 1000 0.1 2.00 0.10 0.3 ( 0 ) 20.28 ( 2.74 )3.25 ( 0.08 ) 0.30 20.2 3.25
    31500 1000 0.3 2.00 0.11 0.29 ( 0 ) 46.27 ( 2.2 ) 0 ( 0 ) 0.29 46.2 0.00
    47500 1000 0.5 2.00 0.14 0.28 ( 0 ) 37.63 ( 1.92 )0 ( 0 ) 0.28 37.6 0.00
    63500 1000 0.7 2.00 0.12 0.29 ( 0 ) 42.75 ( 2.32 )0 ( 0 ) 0.29 42.7 0.00
    79500 1000 0.9 2.00 0.12 0.29 ( 0 ) 41.57 ( 2.28 )0 ( 0 ) 0.29 41.5 0.00
    41000 50 0.1 0.05 0.15 0.26 ( 0 ) 18.76 ( 0.63 )0.02 ( 0.01 ) 0.26 18.7 0.02
    201000 50 0.3 0.05 0.22 0.26 ( 0 ) 14.34 ( 0.49 )0 ( 0 ) 0.26 14.3 0.00
    361000 50 0.5 0.05 0.25 0.26 ( 0 ) 12.73 ( 0.5 ) 0 ( 0 ) 0.26 12.7 0.00
    521000 50 0.7 0.05 0.25 0.26 ( 0 ) 12.77 ( 0.52 )0 ( 0 ) 0.26 12.7 0.00
    681000 50 0.9 0.05 0.25 0.26 ( 0 ) 12.64 ( 0.49 )0 ( 0 ) 0.26 12.6 0.00
    81000 100 0.1 0.10 0.13 0.27 ( 0 ) 28.36 ( 0.94 )0.06 ( 0.03 ) 0.27 28.3 0.06
    241000 100 0.3 0.10 0.20 0.26 ( 0 ) 19.57 ( 0.81 )0 ( 0 ) 0.26 19.5 0.00
    401000 100 0.5 0.10 0.18 0.26 ( 0 ) 20.53 ( 0.72 )0 ( 0 ) 0.26 20.5 0.00
    561000 100 0.7 0.10 0.21 0.26 ( 0 ) 18.55 ( 0.87 )0 ( 0 ) 0.26 18.5 0.00
    721000 100 0.9 0.10 0.19 0.26 ( 0 ) 19.91 ( 0.91 )0 ( 0 ) 0.26 19.9 0.00
    121000 500 0.1 0.50 0.07 0.28 ( 0 ) 61.47 ( 1.31 )0.56 ( 0.07 ) 0.28 61.4 0.56
    281000 500 0.3 0.50 0.14 0.27 ( 0 ) 36.15 ( 1.61 )0 ( 0 ) 0.27 36.1 0.00
    441000 500 0.5 0.50 0.14 0.26 ( 0 ) 33.71 ( 1.97 )0 ( 0 ) 0.26 33.7 0.00
    601000 500 0.7 0.50 0.15 0.26 ( 0 ) 33.3 ( 1.59 ) 0 ( 0 ) 0.26 33.3 0.00
    761000 500 0.9 0.50 0.16 0.26 ( 0 ) 30.4 ( 1.66 ) 0 ( 0 ) 0.26 30.4 0.00
    161000 1000 0.1 1.00 0.05 0.29 ( 0 ) 71.65 ( 3.47 )1.5 ( 0.1 ) 0.29 71.6 1.50
    321000 1000 0.3 1.00 0.13 0.27 ( 0 ) 39.23 ( 2 ) 0 ( 0 ) 0.27 39.2 0.00
    481000 1000 0.5 1.00 0.14 0.27 ( 0 ) 35.42 ( 1.84 )0 ( 0 ) 0.27 35.4 0.00
    641000 1000 0.7 1.00 0.14 0.27 ( 0 ) 36.88 ( 2.33 )0 ( 0 ) 0.27 36.8 0.00
    801000 1000 0.9 1.00 0.13 0.27 ( 0 ) 38.76 ( 2.16 )0 ( 0 ) 0.27 38.7 0.00
    \n" + ], + "text/latex": [ + "\\begin{tabular}{r|lllllllllll}\n", + " & N & P & Corr & Ratio & Stab & MSE & FP & FN & MSE\\_mean & FP\\_mean & FN\\_mean\\\\\n", + "\\hline\n", + "\t1 & 50 & 50 & 0.1 & 1.0 & 0.02 & 0.38 ( 0.02 ) & 10.9 ( 0.97 ) & 3.91 ( 0.15 ) & 0.38 & 10.90 & 3.91 \\\\\n", + "\t17 & 50 & 50 & 0.3 & 1.0 & 0.17 & 0.56 ( 0.03 ) & 15.98 ( 0.61 ) & 0.26 ( 0.05 ) & 0.56 & 15.90 & 0.26 \\\\\n", + "\t33 & 50 & 50 & 0.5 & 1.0 & 0.19 & 0.65 ( 0.05 ) & 15.43 ( 0.64 ) & 0.1 ( 0.04 ) & 0.65 & 15.40 & 0.10 \\\\\n", + "\t49 & 50 & 50 & 0.7 & 1.0 & 0.18 & 0.63 ( 0.04 ) & 16.71 ( 0.61 ) & 0.04 ( 0.02 ) & 0.63 & 16.70 & 0.04 \\\\\n", + "\t65 & 50 & 50 & 0.9 & 1.0 & 0.21 & 0.56 ( 0.03 ) & 14.5 ( 0.57 ) & 0.03 ( 0.02 ) & 0.56 & 14.50 & 0.03 \\\\\n", + "\t5 & 50 & 100 & 0.1 & 2.0 & 0.03 & 0.41 ( 0.02 ) & 9.27 ( 0.76 ) & 4.63 ( 0.09 ) & 0.41 & 9.27 & 4.63 \\\\\n", + "\t21 & 50 & 100 & 0.3 & 2.0 & 0.13 & 0.81 ( 0.05 ) & 22.23 ( 1.04 ) & 0.7 ( 0.08 ) & 0.81 & 22.20 & 0.70 \\\\\n", + "\t37 & 50 & 100 & 0.5 & 2.0 & 0.16 & 0.8 ( 0.05 ) & 21.3 ( 0.83 ) & 0.3 ( 0.06 ) & 0.80 & 21.30 & 0.30 \\\\\n", + "\t53 & 50 & 100 & 0.7 & 2.0 & 0.18 & 0.86 ( 0.07 ) & 19.83 ( 0.86 ) & 0.11 ( 0.03 ) & 0.86 & 19.80 & 0.11 \\\\\n", + "\t69 & 50 & 100 & 0.9 & 2.0 & 0.18 & 0.75 ( 0.04 ) & 20.94 ( 0.7 ) & 0.07 ( 0.03 ) & 0.75 & 20.90 & 0.07 \\\\\n", + "\t9 & 50 & 500 & 0.1 & 10.0 & 0.01 & 0.41 ( 0.02 ) & 30.9 ( 3.51 ) & 4.65 ( 0.13 ) & 0.41 & 30.90 & 4.65 \\\\\n", + "\t25 & 50 & 500 & 0.3 & 10.0 & 0.05 & 1.29 ( 0.07 ) & 43.56 ( 3.08 ) & 2.15 ( 0.13 ) & 1.29 & 43.50 & 2.15 \\\\\n", + "\t41 & 50 & 500 & 0.5 & 10.0 & 0.08 & 1.61 ( 0.1 ) & 36.33 ( 2.13 ) & 1.58 ( 0.11 ) & 1.61 & 36.30 & 1.58 \\\\\n", + "\t57 & 50 & 500 & 0.7 & 10.0 & 0.10 & 2.19 ( 0.14 ) & 33.13 ( 1.76 ) & 1.25 ( 0.11 ) & 2.19 & 33.10 & 1.25 \\\\\n", + "\t73 & 50 & 500 & 0.9 & 10.0 & 0.10 & 2.21 ( 0.15 ) & 35.26 ( 2.1 ) & 0.98 ( 0.09 ) & 2.21 & 35.20 & 0.98 \\\\\n", + "\t13 & 50 & 1000 & 0.1 & 20.0 & 0.00 & 0.41 ( 0.02 ) & 38.1 ( 4.05 ) & 5.01 ( 0.11 ) & 0.41 & 38.10 & 5.01 \\\\\n", + "\t29 & 50 & 1000 & 0.3 & 20.0 & 0.03 & 1.3 ( 0.07 ) & 61.12 ( 4.33 ) & 2.56 ( 0.12 ) & 1.30 & 61.10 & 2.56 \\\\\n", + "\t45 & 50 & 1000 & 0.5 & 20.0 & 0.04 & 2 ( 0.1 ) & 52.83 ( 3.84 ) & 2.29 ( 0.1 ) & 2.00 & 52.80 & 2.29 \\\\\n", + "\t61 & 50 & 1000 & 0.7 & 20.0 & 0.06 & 2.43 ( 0.14 ) & 41.11 ( 2.8 ) & 1.98 ( 0.11 ) & 2.43 & 41.10 & 1.98 \\\\\n", + "\t77 & 50 & 1000 & 0.9 & 20.0 & 0.07 & 3.06 ( 0.18 ) & 43.09 ( 2.82 ) & 1.57 ( 0.1 ) & 3.06 & 43.00 & 1.57 \\\\\n", + "\t2 & 100 & 50 & 0.1 & 0.5 & 0.06 & 0.34 ( 0.01 ) & 13.39 ( 1.06 ) & 2.45 ( 0.16 ) & 0.34 & 13.30 & 2.45 \\\\\n", + "\t18 & 100 & 50 & 0.3 & 0.5 & 0.20 & 0.34 ( 0.01 ) & 15.16 ( 0.6 ) & 0 ( 0 ) & 0.34 & 15.10 & 0.00 \\\\\n", + "\t34 & 100 & 50 & 0.5 & 0.5 & 0.20 & 0.34 ( 0.01 ) & 14.94 ( 0.61 ) & 0 ( 0 ) & 0.34 & 14.90 & 0.00 \\\\\n", + "\t50 & 100 & 50 & 0.7 & 0.5 & 0.22 & 0.33 ( 0.01 ) & 14.2 ( 0.55 ) & 0 ( 0 ) & 0.33 & 14.20 & 0.00 \\\\\n", + "\t66 & 100 & 50 & 0.9 & 0.5 & 0.23 & 0.33 ( 0.01 ) & 13.9 ( 0.6 ) & 0 ( 0 ) & 0.33 & 13.90 & 0.00 \\\\\n", + "\t6 & 100 & 100 & 0.1 & 1.0 & 0.07 & 0.34 ( 0.01 ) & 10.1 ( 1.04 ) & 3.87 ( 0.13 ) & 0.34 & 10.10 & 3.87 \\\\\n", + "\t22 & 100 & 100 & 0.3 & 1.0 & 0.16 & 0.42 ( 0.02 ) & 23.17 ( 0.94 ) & 0.02 ( 0.01 ) & 0.42 & 23.10 & 0.02 \\\\\n", + "\t38 & 100 & 100 & 0.5 & 1.0 & 0.18 & 0.37 ( 0.01 ) & 21.74 ( 0.84 ) & 0 ( 0 ) & 0.37 & 21.70 & 0.00 \\\\\n", + "\t54 & 100 & 100 & 0.7 & 1.0 & 0.17 & 0.38 ( 0.01 ) & 22.59 ( 1.11 ) & 0 ( 0 ) & 0.38 & 22.50 & 0.00 \\\\\n", + "\t70 & 100 & 100 & 0.9 & 1.0 & 0.18 & 0.38 ( 0.01 ) & 20.8 ( 0.95 ) & 0 ( 0 ) & 0.38 & 20.80 & 0.00 \\\\\n", + "\t... & ... & ... & ... & ... & ... & ... & ... & ... & ... & ... & ...\\\\\n", + "\t11 & 500 & 500 & 0.1 & 1.00 & 0.08 & 0.32 ( 0 ) & 29.71 ( 2.76 ) & 2.55 ( 0.12 ) & 0.32 & 29.7 & 2.55 \\\\\n", + "\t27 & 500 & 500 & 0.3 & 1.00 & 0.14 & 0.28 ( 0 ) & 35.68 ( 1.62 ) & 0 ( 0 ) & 0.28 & 35.6 & 0.00 \\\\\n", + "\t43 & 500 & 500 & 0.5 & 1.00 & 0.15 & 0.28 ( 0 ) & 32.67 ( 1.7 ) & 0 ( 0 ) & 0.28 & 32.6 & 0.00 \\\\\n", + "\t59 & 500 & 500 & 0.7 & 1.00 & 0.16 & 0.28 ( 0 ) & 30.18 ( 1.66 ) & 0 ( 0 ) & 0.28 & 30.1 & 0.00 \\\\\n", + "\t75 & 500 & 500 & 0.9 & 1.00 & 0.15 & 0.28 ( 0 ) & 32.6 ( 1.76 ) & 0 ( 0 ) & 0.28 & 32.6 & 0.00 \\\\\n", + "\t15 & 500 & 1000 & 0.1 & 2.00 & 0.10 & 0.3 ( 0 ) & 20.28 ( 2.74 ) & 3.25 ( 0.08 ) & 0.30 & 20.2 & 3.25 \\\\\n", + "\t31 & 500 & 1000 & 0.3 & 2.00 & 0.11 & 0.29 ( 0 ) & 46.27 ( 2.2 ) & 0 ( 0 ) & 0.29 & 46.2 & 0.00 \\\\\n", + "\t47 & 500 & 1000 & 0.5 & 2.00 & 0.14 & 0.28 ( 0 ) & 37.63 ( 1.92 ) & 0 ( 0 ) & 0.28 & 37.6 & 0.00 \\\\\n", + "\t63 & 500 & 1000 & 0.7 & 2.00 & 0.12 & 0.29 ( 0 ) & 42.75 ( 2.32 ) & 0 ( 0 ) & 0.29 & 42.7 & 0.00 \\\\\n", + "\t79 & 500 & 1000 & 0.9 & 2.00 & 0.12 & 0.29 ( 0 ) & 41.57 ( 2.28 ) & 0 ( 0 ) & 0.29 & 41.5 & 0.00 \\\\\n", + "\t4 & 1000 & 50 & 0.1 & 0.05 & 0.15 & 0.26 ( 0 ) & 18.76 ( 0.63 ) & 0.02 ( 0.01 ) & 0.26 & 18.7 & 0.02 \\\\\n", + "\t20 & 1000 & 50 & 0.3 & 0.05 & 0.22 & 0.26 ( 0 ) & 14.34 ( 0.49 ) & 0 ( 0 ) & 0.26 & 14.3 & 0.00 \\\\\n", + "\t36 & 1000 & 50 & 0.5 & 0.05 & 0.25 & 0.26 ( 0 ) & 12.73 ( 0.5 ) & 0 ( 0 ) & 0.26 & 12.7 & 0.00 \\\\\n", + "\t52 & 1000 & 50 & 0.7 & 0.05 & 0.25 & 0.26 ( 0 ) & 12.77 ( 0.52 ) & 0 ( 0 ) & 0.26 & 12.7 & 0.00 \\\\\n", + "\t68 & 1000 & 50 & 0.9 & 0.05 & 0.25 & 0.26 ( 0 ) & 12.64 ( 0.49 ) & 0 ( 0 ) & 0.26 & 12.6 & 0.00 \\\\\n", + "\t8 & 1000 & 100 & 0.1 & 0.10 & 0.13 & 0.27 ( 0 ) & 28.36 ( 0.94 ) & 0.06 ( 0.03 ) & 0.27 & 28.3 & 0.06 \\\\\n", + "\t24 & 1000 & 100 & 0.3 & 0.10 & 0.20 & 0.26 ( 0 ) & 19.57 ( 0.81 ) & 0 ( 0 ) & 0.26 & 19.5 & 0.00 \\\\\n", + "\t40 & 1000 & 100 & 0.5 & 0.10 & 0.18 & 0.26 ( 0 ) & 20.53 ( 0.72 ) & 0 ( 0 ) & 0.26 & 20.5 & 0.00 \\\\\n", + "\t56 & 1000 & 100 & 0.7 & 0.10 & 0.21 & 0.26 ( 0 ) & 18.55 ( 0.87 ) & 0 ( 0 ) & 0.26 & 18.5 & 0.00 \\\\\n", + "\t72 & 1000 & 100 & 0.9 & 0.10 & 0.19 & 0.26 ( 0 ) & 19.91 ( 0.91 ) & 0 ( 0 ) & 0.26 & 19.9 & 0.00 \\\\\n", + "\t12 & 1000 & 500 & 0.1 & 0.50 & 0.07 & 0.28 ( 0 ) & 61.47 ( 1.31 ) & 0.56 ( 0.07 ) & 0.28 & 61.4 & 0.56 \\\\\n", + "\t28 & 1000 & 500 & 0.3 & 0.50 & 0.14 & 0.27 ( 0 ) & 36.15 ( 1.61 ) & 0 ( 0 ) & 0.27 & 36.1 & 0.00 \\\\\n", + "\t44 & 1000 & 500 & 0.5 & 0.50 & 0.14 & 0.26 ( 0 ) & 33.71 ( 1.97 ) & 0 ( 0 ) & 0.26 & 33.7 & 0.00 \\\\\n", + "\t60 & 1000 & 500 & 0.7 & 0.50 & 0.15 & 0.26 ( 0 ) & 33.3 ( 1.59 ) & 0 ( 0 ) & 0.26 & 33.3 & 0.00 \\\\\n", + "\t76 & 1000 & 500 & 0.9 & 0.50 & 0.16 & 0.26 ( 0 ) & 30.4 ( 1.66 ) & 0 ( 0 ) & 0.26 & 30.4 & 0.00 \\\\\n", + "\t16 & 1000 & 1000 & 0.1 & 1.00 & 0.05 & 0.29 ( 0 ) & 71.65 ( 3.47 ) & 1.5 ( 0.1 ) & 0.29 & 71.6 & 1.50 \\\\\n", + "\t32 & 1000 & 1000 & 0.3 & 1.00 & 0.13 & 0.27 ( 0 ) & 39.23 ( 2 ) & 0 ( 0 ) & 0.27 & 39.2 & 0.00 \\\\\n", + "\t48 & 1000 & 1000 & 0.5 & 1.00 & 0.14 & 0.27 ( 0 ) & 35.42 ( 1.84 ) & 0 ( 0 ) & 0.27 & 35.4 & 0.00 \\\\\n", + "\t64 & 1000 & 1000 & 0.7 & 1.00 & 0.14 & 0.27 ( 0 ) & 36.88 ( 2.33 ) & 0 ( 0 ) & 0.27 & 36.8 & 0.00 \\\\\n", + "\t80 & 1000 & 1000 & 0.9 & 1.00 & 0.13 & 0.27 ( 0 ) & 38.76 ( 2.16 ) & 0 ( 0 ) & 0.27 & 38.7 & 0.00 \\\\\n", + "\\end{tabular}\n" + ], + "text/markdown": [ + "\n", + "| | N | P | Corr | Ratio | Stab | MSE | FP | FN | MSE_mean | FP_mean | FN_mean |\n", + "|---|---|---|---|---|---|---|---|---|---|---|---|\n", + "| 1 | 50 | 50 | 0.1 | 1.0 | 0.02 | 0.38 ( 0.02 ) | 10.9 ( 0.97 ) | 3.91 ( 0.15 ) | 0.38 | 10.90 | 3.91 |\n", + "| 17 | 50 | 50 | 0.3 | 1.0 | 0.17 | 0.56 ( 0.03 ) | 15.98 ( 0.61 ) | 0.26 ( 0.05 ) | 0.56 | 15.90 | 0.26 |\n", + "| 33 | 50 | 50 | 0.5 | 1.0 | 0.19 | 0.65 ( 0.05 ) | 15.43 ( 0.64 ) | 0.1 ( 0.04 ) | 0.65 | 15.40 | 0.10 |\n", + "| 49 | 50 | 50 | 0.7 | 1.0 | 0.18 | 0.63 ( 0.04 ) | 16.71 ( 0.61 ) | 0.04 ( 0.02 ) | 0.63 | 16.70 | 0.04 |\n", + "| 65 | 50 | 50 | 0.9 | 1.0 | 0.21 | 0.56 ( 0.03 ) | 14.5 ( 0.57 ) | 0.03 ( 0.02 ) | 0.56 | 14.50 | 0.03 |\n", + "| 5 | 50 | 100 | 0.1 | 2.0 | 0.03 | 0.41 ( 0.02 ) | 9.27 ( 0.76 ) | 4.63 ( 0.09 ) | 0.41 | 9.27 | 4.63 |\n", + "| 21 | 50 | 100 | 0.3 | 2.0 | 0.13 | 0.81 ( 0.05 ) | 22.23 ( 1.04 ) | 0.7 ( 0.08 ) | 0.81 | 22.20 | 0.70 |\n", + "| 37 | 50 | 100 | 0.5 | 2.0 | 0.16 | 0.8 ( 0.05 ) | 21.3 ( 0.83 ) | 0.3 ( 0.06 ) | 0.80 | 21.30 | 0.30 |\n", + "| 53 | 50 | 100 | 0.7 | 2.0 | 0.18 | 0.86 ( 0.07 ) | 19.83 ( 0.86 ) | 0.11 ( 0.03 ) | 0.86 | 19.80 | 0.11 |\n", + "| 69 | 50 | 100 | 0.9 | 2.0 | 0.18 | 0.75 ( 0.04 ) | 20.94 ( 0.7 ) | 0.07 ( 0.03 ) | 0.75 | 20.90 | 0.07 |\n", + "| 9 | 50 | 500 | 0.1 | 10.0 | 0.01 | 0.41 ( 0.02 ) | 30.9 ( 3.51 ) | 4.65 ( 0.13 ) | 0.41 | 30.90 | 4.65 |\n", + "| 25 | 50 | 500 | 0.3 | 10.0 | 0.05 | 1.29 ( 0.07 ) | 43.56 ( 3.08 ) | 2.15 ( 0.13 ) | 1.29 | 43.50 | 2.15 |\n", + "| 41 | 50 | 500 | 0.5 | 10.0 | 0.08 | 1.61 ( 0.1 ) | 36.33 ( 2.13 ) | 1.58 ( 0.11 ) | 1.61 | 36.30 | 1.58 |\n", + "| 57 | 50 | 500 | 0.7 | 10.0 | 0.10 | 2.19 ( 0.14 ) | 33.13 ( 1.76 ) | 1.25 ( 0.11 ) | 2.19 | 33.10 | 1.25 |\n", + "| 73 | 50 | 500 | 0.9 | 10.0 | 0.10 | 2.21 ( 0.15 ) | 35.26 ( 2.1 ) | 0.98 ( 0.09 ) | 2.21 | 35.20 | 0.98 |\n", + "| 13 | 50 | 1000 | 0.1 | 20.0 | 0.00 | 0.41 ( 0.02 ) | 38.1 ( 4.05 ) | 5.01 ( 0.11 ) | 0.41 | 38.10 | 5.01 |\n", + "| 29 | 50 | 1000 | 0.3 | 20.0 | 0.03 | 1.3 ( 0.07 ) | 61.12 ( 4.33 ) | 2.56 ( 0.12 ) | 1.30 | 61.10 | 2.56 |\n", + "| 45 | 50 | 1000 | 0.5 | 20.0 | 0.04 | 2 ( 0.1 ) | 52.83 ( 3.84 ) | 2.29 ( 0.1 ) | 2.00 | 52.80 | 2.29 |\n", + "| 61 | 50 | 1000 | 0.7 | 20.0 | 0.06 | 2.43 ( 0.14 ) | 41.11 ( 2.8 ) | 1.98 ( 0.11 ) | 2.43 | 41.10 | 1.98 |\n", + "| 77 | 50 | 1000 | 0.9 | 20.0 | 0.07 | 3.06 ( 0.18 ) | 43.09 ( 2.82 ) | 1.57 ( 0.1 ) | 3.06 | 43.00 | 1.57 |\n", + "| 2 | 100 | 50 | 0.1 | 0.5 | 0.06 | 0.34 ( 0.01 ) | 13.39 ( 1.06 ) | 2.45 ( 0.16 ) | 0.34 | 13.30 | 2.45 |\n", + "| 18 | 100 | 50 | 0.3 | 0.5 | 0.20 | 0.34 ( 0.01 ) | 15.16 ( 0.6 ) | 0 ( 0 ) | 0.34 | 15.10 | 0.00 |\n", + "| 34 | 100 | 50 | 0.5 | 0.5 | 0.20 | 0.34 ( 0.01 ) | 14.94 ( 0.61 ) | 0 ( 0 ) | 0.34 | 14.90 | 0.00 |\n", + "| 50 | 100 | 50 | 0.7 | 0.5 | 0.22 | 0.33 ( 0.01 ) | 14.2 ( 0.55 ) | 0 ( 0 ) | 0.33 | 14.20 | 0.00 |\n", + "| 66 | 100 | 50 | 0.9 | 0.5 | 0.23 | 0.33 ( 0.01 ) | 13.9 ( 0.6 ) | 0 ( 0 ) | 0.33 | 13.90 | 0.00 |\n", + "| 6 | 100 | 100 | 0.1 | 1.0 | 0.07 | 0.34 ( 0.01 ) | 10.1 ( 1.04 ) | 3.87 ( 0.13 ) | 0.34 | 10.10 | 3.87 |\n", + "| 22 | 100 | 100 | 0.3 | 1.0 | 0.16 | 0.42 ( 0.02 ) | 23.17 ( 0.94 ) | 0.02 ( 0.01 ) | 0.42 | 23.10 | 0.02 |\n", + "| 38 | 100 | 100 | 0.5 | 1.0 | 0.18 | 0.37 ( 0.01 ) | 21.74 ( 0.84 ) | 0 ( 0 ) | 0.37 | 21.70 | 0.00 |\n", + "| 54 | 100 | 100 | 0.7 | 1.0 | 0.17 | 0.38 ( 0.01 ) | 22.59 ( 1.11 ) | 0 ( 0 ) | 0.38 | 22.50 | 0.00 |\n", + "| 70 | 100 | 100 | 0.9 | 1.0 | 0.18 | 0.38 ( 0.01 ) | 20.8 ( 0.95 ) | 0 ( 0 ) | 0.38 | 20.80 | 0.00 |\n", + "| ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... |\n", + "| 11 | 500 | 500 | 0.1 | 1.00 | 0.08 | 0.32 ( 0 ) | 29.71 ( 2.76 ) | 2.55 ( 0.12 ) | 0.32 | 29.7 | 2.55 |\n", + "| 27 | 500 | 500 | 0.3 | 1.00 | 0.14 | 0.28 ( 0 ) | 35.68 ( 1.62 ) | 0 ( 0 ) | 0.28 | 35.6 | 0.00 |\n", + "| 43 | 500 | 500 | 0.5 | 1.00 | 0.15 | 0.28 ( 0 ) | 32.67 ( 1.7 ) | 0 ( 0 ) | 0.28 | 32.6 | 0.00 |\n", + "| 59 | 500 | 500 | 0.7 | 1.00 | 0.16 | 0.28 ( 0 ) | 30.18 ( 1.66 ) | 0 ( 0 ) | 0.28 | 30.1 | 0.00 |\n", + "| 75 | 500 | 500 | 0.9 | 1.00 | 0.15 | 0.28 ( 0 ) | 32.6 ( 1.76 ) | 0 ( 0 ) | 0.28 | 32.6 | 0.00 |\n", + "| 15 | 500 | 1000 | 0.1 | 2.00 | 0.10 | 0.3 ( 0 ) | 20.28 ( 2.74 ) | 3.25 ( 0.08 ) | 0.30 | 20.2 | 3.25 |\n", + "| 31 | 500 | 1000 | 0.3 | 2.00 | 0.11 | 0.29 ( 0 ) | 46.27 ( 2.2 ) | 0 ( 0 ) | 0.29 | 46.2 | 0.00 |\n", + "| 47 | 500 | 1000 | 0.5 | 2.00 | 0.14 | 0.28 ( 0 ) | 37.63 ( 1.92 ) | 0 ( 0 ) | 0.28 | 37.6 | 0.00 |\n", + "| 63 | 500 | 1000 | 0.7 | 2.00 | 0.12 | 0.29 ( 0 ) | 42.75 ( 2.32 ) | 0 ( 0 ) | 0.29 | 42.7 | 0.00 |\n", + "| 79 | 500 | 1000 | 0.9 | 2.00 | 0.12 | 0.29 ( 0 ) | 41.57 ( 2.28 ) | 0 ( 0 ) | 0.29 | 41.5 | 0.00 |\n", + "| 4 | 1000 | 50 | 0.1 | 0.05 | 0.15 | 0.26 ( 0 ) | 18.76 ( 0.63 ) | 0.02 ( 0.01 ) | 0.26 | 18.7 | 0.02 |\n", + "| 20 | 1000 | 50 | 0.3 | 0.05 | 0.22 | 0.26 ( 0 ) | 14.34 ( 0.49 ) | 0 ( 0 ) | 0.26 | 14.3 | 0.00 |\n", + "| 36 | 1000 | 50 | 0.5 | 0.05 | 0.25 | 0.26 ( 0 ) | 12.73 ( 0.5 ) | 0 ( 0 ) | 0.26 | 12.7 | 0.00 |\n", + "| 52 | 1000 | 50 | 0.7 | 0.05 | 0.25 | 0.26 ( 0 ) | 12.77 ( 0.52 ) | 0 ( 0 ) | 0.26 | 12.7 | 0.00 |\n", + "| 68 | 1000 | 50 | 0.9 | 0.05 | 0.25 | 0.26 ( 0 ) | 12.64 ( 0.49 ) | 0 ( 0 ) | 0.26 | 12.6 | 0.00 |\n", + "| 8 | 1000 | 100 | 0.1 | 0.10 | 0.13 | 0.27 ( 0 ) | 28.36 ( 0.94 ) | 0.06 ( 0.03 ) | 0.27 | 28.3 | 0.06 |\n", + "| 24 | 1000 | 100 | 0.3 | 0.10 | 0.20 | 0.26 ( 0 ) | 19.57 ( 0.81 ) | 0 ( 0 ) | 0.26 | 19.5 | 0.00 |\n", + "| 40 | 1000 | 100 | 0.5 | 0.10 | 0.18 | 0.26 ( 0 ) | 20.53 ( 0.72 ) | 0 ( 0 ) | 0.26 | 20.5 | 0.00 |\n", + "| 56 | 1000 | 100 | 0.7 | 0.10 | 0.21 | 0.26 ( 0 ) | 18.55 ( 0.87 ) | 0 ( 0 ) | 0.26 | 18.5 | 0.00 |\n", + "| 72 | 1000 | 100 | 0.9 | 0.10 | 0.19 | 0.26 ( 0 ) | 19.91 ( 0.91 ) | 0 ( 0 ) | 0.26 | 19.9 | 0.00 |\n", + "| 12 | 1000 | 500 | 0.1 | 0.50 | 0.07 | 0.28 ( 0 ) | 61.47 ( 1.31 ) | 0.56 ( 0.07 ) | 0.28 | 61.4 | 0.56 |\n", + "| 28 | 1000 | 500 | 0.3 | 0.50 | 0.14 | 0.27 ( 0 ) | 36.15 ( 1.61 ) | 0 ( 0 ) | 0.27 | 36.1 | 0.00 |\n", + "| 44 | 1000 | 500 | 0.5 | 0.50 | 0.14 | 0.26 ( 0 ) | 33.71 ( 1.97 ) | 0 ( 0 ) | 0.26 | 33.7 | 0.00 |\n", + "| 60 | 1000 | 500 | 0.7 | 0.50 | 0.15 | 0.26 ( 0 ) | 33.3 ( 1.59 ) | 0 ( 0 ) | 0.26 | 33.3 | 0.00 |\n", + "| 76 | 1000 | 500 | 0.9 | 0.50 | 0.16 | 0.26 ( 0 ) | 30.4 ( 1.66 ) | 0 ( 0 ) | 0.26 | 30.4 | 0.00 |\n", + "| 16 | 1000 | 1000 | 0.1 | 1.00 | 0.05 | 0.29 ( 0 ) | 71.65 ( 3.47 ) | 1.5 ( 0.1 ) | 0.29 | 71.6 | 1.50 |\n", + "| 32 | 1000 | 1000 | 0.3 | 1.00 | 0.13 | 0.27 ( 0 ) | 39.23 ( 2 ) | 0 ( 0 ) | 0.27 | 39.2 | 0.00 |\n", + "| 48 | 1000 | 1000 | 0.5 | 1.00 | 0.14 | 0.27 ( 0 ) | 35.42 ( 1.84 ) | 0 ( 0 ) | 0.27 | 35.4 | 0.00 |\n", + "| 64 | 1000 | 1000 | 0.7 | 1.00 | 0.14 | 0.27 ( 0 ) | 36.88 ( 2.33 ) | 0 ( 0 ) | 0.27 | 36.8 | 0.00 |\n", + "| 80 | 1000 | 1000 | 0.9 | 1.00 | 0.13 | 0.27 ( 0 ) | 38.76 ( 2.16 ) | 0 ( 0 ) | 0.27 | 38.7 | 0.00 |\n", + "\n" + ], + "text/plain": [ + " N P Corr Ratio Stab MSE FP FN \n", + "1 50 50 0.1 1.0 0.02 0.38 ( 0.02 ) 10.9 ( 0.97 ) 3.91 ( 0.15 )\n", + "17 50 50 0.3 1.0 0.17 0.56 ( 0.03 ) 15.98 ( 0.61 ) 0.26 ( 0.05 )\n", + "33 50 50 0.5 1.0 0.19 0.65 ( 0.05 ) 15.43 ( 0.64 ) 0.1 ( 0.04 ) \n", + "49 50 50 0.7 1.0 0.18 0.63 ( 0.04 ) 16.71 ( 0.61 ) 0.04 ( 0.02 )\n", + "65 50 50 0.9 1.0 0.21 0.56 ( 0.03 ) 14.5 ( 0.57 ) 0.03 ( 0.02 )\n", + "5 50 100 0.1 2.0 0.03 0.41 ( 0.02 ) 9.27 ( 0.76 ) 4.63 ( 0.09 )\n", + "21 50 100 0.3 2.0 0.13 0.81 ( 0.05 ) 22.23 ( 1.04 ) 0.7 ( 0.08 ) \n", + "37 50 100 0.5 2.0 0.16 0.8 ( 0.05 ) 21.3 ( 0.83 ) 0.3 ( 0.06 ) \n", + "53 50 100 0.7 2.0 0.18 0.86 ( 0.07 ) 19.83 ( 0.86 ) 0.11 ( 0.03 )\n", + "69 50 100 0.9 2.0 0.18 0.75 ( 0.04 ) 20.94 ( 0.7 ) 0.07 ( 0.03 )\n", + "9 50 500 0.1 10.0 0.01 0.41 ( 0.02 ) 30.9 ( 3.51 ) 4.65 ( 0.13 )\n", + "25 50 500 0.3 10.0 0.05 1.29 ( 0.07 ) 43.56 ( 3.08 ) 2.15 ( 0.13 )\n", + "41 50 500 0.5 10.0 0.08 1.61 ( 0.1 ) 36.33 ( 2.13 ) 1.58 ( 0.11 )\n", + "57 50 500 0.7 10.0 0.10 2.19 ( 0.14 ) 33.13 ( 1.76 ) 1.25 ( 0.11 )\n", + "73 50 500 0.9 10.0 0.10 2.21 ( 0.15 ) 35.26 ( 2.1 ) 0.98 ( 0.09 )\n", + "13 50 1000 0.1 20.0 0.00 0.41 ( 0.02 ) 38.1 ( 4.05 ) 5.01 ( 0.11 )\n", + "29 50 1000 0.3 20.0 0.03 1.3 ( 0.07 ) 61.12 ( 4.33 ) 2.56 ( 0.12 )\n", + "45 50 1000 0.5 20.0 0.04 2 ( 0.1 ) 52.83 ( 3.84 ) 2.29 ( 0.1 ) \n", + "61 50 1000 0.7 20.0 0.06 2.43 ( 0.14 ) 41.11 ( 2.8 ) 1.98 ( 0.11 )\n", + "77 50 1000 0.9 20.0 0.07 3.06 ( 0.18 ) 43.09 ( 2.82 ) 1.57 ( 0.1 ) \n", + "2 100 50 0.1 0.5 0.06 0.34 ( 0.01 ) 13.39 ( 1.06 ) 2.45 ( 0.16 )\n", + "18 100 50 0.3 0.5 0.20 0.34 ( 0.01 ) 15.16 ( 0.6 ) 0 ( 0 ) \n", + "34 100 50 0.5 0.5 0.20 0.34 ( 0.01 ) 14.94 ( 0.61 ) 0 ( 0 ) \n", + "50 100 50 0.7 0.5 0.22 0.33 ( 0.01 ) 14.2 ( 0.55 ) 0 ( 0 ) \n", + "66 100 50 0.9 0.5 0.23 0.33 ( 0.01 ) 13.9 ( 0.6 ) 0 ( 0 ) \n", + "6 100 100 0.1 1.0 0.07 0.34 ( 0.01 ) 10.1 ( 1.04 ) 3.87 ( 0.13 )\n", + "22 100 100 0.3 1.0 0.16 0.42 ( 0.02 ) 23.17 ( 0.94 ) 0.02 ( 0.01 )\n", + "38 100 100 0.5 1.0 0.18 0.37 ( 0.01 ) 21.74 ( 0.84 ) 0 ( 0 ) \n", + "54 100 100 0.7 1.0 0.17 0.38 ( 0.01 ) 22.59 ( 1.11 ) 0 ( 0 ) \n", + "70 100 100 0.9 1.0 0.18 0.38 ( 0.01 ) 20.8 ( 0.95 ) 0 ( 0 ) \n", + "... ... ... ... ... ... ... ... ... \n", + "11 500 500 0.1 1.00 0.08 0.32 ( 0 ) 29.71 ( 2.76 ) 2.55 ( 0.12 )\n", + "27 500 500 0.3 1.00 0.14 0.28 ( 0 ) 35.68 ( 1.62 ) 0 ( 0 ) \n", + "43 500 500 0.5 1.00 0.15 0.28 ( 0 ) 32.67 ( 1.7 ) 0 ( 0 ) \n", + "59 500 500 0.7 1.00 0.16 0.28 ( 0 ) 30.18 ( 1.66 ) 0 ( 0 ) \n", + "75 500 500 0.9 1.00 0.15 0.28 ( 0 ) 32.6 ( 1.76 ) 0 ( 0 ) \n", + "15 500 1000 0.1 2.00 0.10 0.3 ( 0 ) 20.28 ( 2.74 ) 3.25 ( 0.08 )\n", + "31 500 1000 0.3 2.00 0.11 0.29 ( 0 ) 46.27 ( 2.2 ) 0 ( 0 ) \n", + "47 500 1000 0.5 2.00 0.14 0.28 ( 0 ) 37.63 ( 1.92 ) 0 ( 0 ) \n", + "63 500 1000 0.7 2.00 0.12 0.29 ( 0 ) 42.75 ( 2.32 ) 0 ( 0 ) \n", + "79 500 1000 0.9 2.00 0.12 0.29 ( 0 ) 41.57 ( 2.28 ) 0 ( 0 ) \n", + "4 1000 50 0.1 0.05 0.15 0.26 ( 0 ) 18.76 ( 0.63 ) 0.02 ( 0.01 )\n", + "20 1000 50 0.3 0.05 0.22 0.26 ( 0 ) 14.34 ( 0.49 ) 0 ( 0 ) \n", + "36 1000 50 0.5 0.05 0.25 0.26 ( 0 ) 12.73 ( 0.5 ) 0 ( 0 ) \n", + "52 1000 50 0.7 0.05 0.25 0.26 ( 0 ) 12.77 ( 0.52 ) 0 ( 0 ) \n", + "68 1000 50 0.9 0.05 0.25 0.26 ( 0 ) 12.64 ( 0.49 ) 0 ( 0 ) \n", + "8 1000 100 0.1 0.10 0.13 0.27 ( 0 ) 28.36 ( 0.94 ) 0.06 ( 0.03 )\n", + "24 1000 100 0.3 0.10 0.20 0.26 ( 0 ) 19.57 ( 0.81 ) 0 ( 0 ) \n", + "40 1000 100 0.5 0.10 0.18 0.26 ( 0 ) 20.53 ( 0.72 ) 0 ( 0 ) \n", + "56 1000 100 0.7 0.10 0.21 0.26 ( 0 ) 18.55 ( 0.87 ) 0 ( 0 ) \n", + "72 1000 100 0.9 0.10 0.19 0.26 ( 0 ) 19.91 ( 0.91 ) 0 ( 0 ) \n", + "12 1000 500 0.1 0.50 0.07 0.28 ( 0 ) 61.47 ( 1.31 ) 0.56 ( 0.07 )\n", + "28 1000 500 0.3 0.50 0.14 0.27 ( 0 ) 36.15 ( 1.61 ) 0 ( 0 ) \n", + "44 1000 500 0.5 0.50 0.14 0.26 ( 0 ) 33.71 ( 1.97 ) 0 ( 0 ) \n", + "60 1000 500 0.7 0.50 0.15 0.26 ( 0 ) 33.3 ( 1.59 ) 0 ( 0 ) \n", + "76 1000 500 0.9 0.50 0.16 0.26 ( 0 ) 30.4 ( 1.66 ) 0 ( 0 ) \n", + "16 1000 1000 0.1 1.00 0.05 0.29 ( 0 ) 71.65 ( 3.47 ) 1.5 ( 0.1 ) \n", + "32 1000 1000 0.3 1.00 0.13 0.27 ( 0 ) 39.23 ( 2 ) 0 ( 0 ) \n", + "48 1000 1000 0.5 1.00 0.14 0.27 ( 0 ) 35.42 ( 1.84 ) 0 ( 0 ) \n", + "64 1000 1000 0.7 1.00 0.14 0.27 ( 0 ) 36.88 ( 2.33 ) 0 ( 0 ) \n", + "80 1000 1000 0.9 1.00 0.13 0.27 ( 0 ) 38.76 ( 2.16 ) 0 ( 0 ) \n", + " MSE_mean FP_mean FN_mean\n", + "1 0.38 10.90 3.91 \n", + "17 0.56 15.90 0.26 \n", + "33 0.65 15.40 0.10 \n", + "49 0.63 16.70 0.04 \n", + "65 0.56 14.50 0.03 \n", + "5 0.41 9.27 4.63 \n", + "21 0.81 22.20 0.70 \n", + "37 0.80 21.30 0.30 \n", + "53 0.86 19.80 0.11 \n", + "69 0.75 20.90 0.07 \n", + "9 0.41 30.90 4.65 \n", + "25 1.29 43.50 2.15 \n", + "41 1.61 36.30 1.58 \n", + "57 2.19 33.10 1.25 \n", + "73 2.21 35.20 0.98 \n", + "13 0.41 38.10 5.01 \n", + "29 1.30 61.10 2.56 \n", + "45 2.00 52.80 2.29 \n", + "61 2.43 41.10 1.98 \n", + "77 3.06 43.00 1.57 \n", + "2 0.34 13.30 2.45 \n", + "18 0.34 15.10 0.00 \n", + "34 0.34 14.90 0.00 \n", + "50 0.33 14.20 0.00 \n", + "66 0.33 13.90 0.00 \n", + "6 0.34 10.10 3.87 \n", + "22 0.42 23.10 0.02 \n", + "38 0.37 21.70 0.00 \n", + "54 0.38 22.50 0.00 \n", + "70 0.38 20.80 0.00 \n", + "... ... ... ... \n", + "11 0.32 29.7 2.55 \n", + "27 0.28 35.6 0.00 \n", + "43 0.28 32.6 0.00 \n", + "59 0.28 30.1 0.00 \n", + "75 0.28 32.6 0.00 \n", + "15 0.30 20.2 3.25 \n", + "31 0.29 46.2 0.00 \n", + "47 0.28 37.6 0.00 \n", + "63 0.29 42.7 0.00 \n", + "79 0.29 41.5 0.00 \n", + "4 0.26 18.7 0.02 \n", + "20 0.26 14.3 0.00 \n", + "36 0.26 12.7 0.00 \n", + "52 0.26 12.7 0.00 \n", + "68 0.26 12.6 0.00 \n", + "8 0.27 28.3 0.06 \n", + "24 0.26 19.5 0.00 \n", + "40 0.26 20.5 0.00 \n", + "56 0.26 18.5 0.00 \n", + "72 0.26 19.9 0.00 \n", + "12 0.28 61.4 0.56 \n", + "28 0.27 36.1 0.00 \n", + "44 0.26 33.7 0.00 \n", + "60 0.26 33.3 0.00 \n", + "76 0.26 30.4 0.00 \n", + "16 0.29 71.6 1.50 \n", + "32 0.27 39.2 0.00 \n", + "48 0.27 35.4 0.00 \n", + "64 0.27 36.8 0.00 \n", + "80 0.27 38.7 0.00 " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "result.table_block[with(result.table_block, order(N, P, Corr)),]" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "R", + "language": "R", + "name": "ir" + }, + "language_info": { + "codemirror_mode": "r", + "file_extension": ".r", + "mimetype": "text/x-r-source", + "name": "R", + "pygments_lexer": "r", + "version": "3.6.1" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/simulations/notebooks_simulations/sim_block_lasso.ipynb b/simulations/notebooks_simulations/sim_block_lasso.ipynb new file mode 100644 index 0000000..573ded8 --- /dev/null +++ b/simulations/notebooks_simulations/sim_block_lasso.ipynb @@ -0,0 +1,877 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "load('../sim_data/block_Lasso.RData')" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "dir = '../sim_data'\n", + "dim.list = list()\n", + "size = c(50, 100, 500, 1000)\n", + "idx = 0\n", + "for (P in size){\n", + " for (N in size){\n", + " idx = idx + 1\n", + " dim.list[[idx]] = c(P=P, N=N)\n", + " }\n", + "}\n", + "\n", + "rou.list = seq(0.1, 0.9, 0.2)\n", + "\n", + "files = NULL\n", + "for (rou in rou.list){\n", + " for (dim in dim.list){\n", + " p = dim[1]\n", + " n = dim[2]\n", + " files = cbind(files, paste0(dir, '/sim_block_corr', rou, paste('P', p, 'N', n, sep='_'), '.RData', sep=''))\n", + " }\n", + "}" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "avg_FDR = NULL\n", + "for (i in 1:length(files)){\n", + " sim_file = files[i]\n", + " load(sim_file, dat <- new.env())\n", + " sub = dat$sim_array[[i]]\n", + " p = sub$p # take true values from 1st replicate of each simulated data\n", + " coef = sub$beta\n", + " coef.true = which(coef != 0)\n", + " \n", + " tt = results_block_lasso[[i]]$Stab.table\n", + " \n", + " FDR = NULL\n", + " for (r in 1:nrow(tt)){\n", + " FDR = c(FDR, length(setdiff(which(tt[r, ] !=0), coef.true))/sum(tt[r, ]))\n", + "\n", + " }\n", + " \n", + " avg_FDR = c(avg_FDR, mean(FDR, na.rm=T))\n", + "}" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "table_block = NULL\n", + "tmp_num_select = rep(0, length(results_block_lasso))\n", + "for (i in 1:length(results_block_lasso)){\n", + " table_block = rbind(table_block, results_block_lasso[[i]][c('n', 'p', 'rou', 'FP', 'FN', 'MSE', 'Stab')])\n", + " tmp_num_select[i] = mean(rowSums(results_block_lasso[[i]]$Stab.table))\n", + " \n", + "}\n", + "table_block = as.data.frame(table_block)\n", + "table_block$num_select = tmp_num_select\n", + "table_block$FDR = round(avg_FDR,2)" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", + "\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\n", + "
    nprouFPFNMSEStabnum_selectFDR
    50 50 0.1 3.52 ( 0.22 )4.92 ( 0.08 )0.36 ( 0.01 )0.05 3.60 0.65
    100 50 0.1 2.71 ( 0.25 )4.4 ( 0.1 ) 0.31 ( 0.01 )0.18 3.31 0.42
    500 50 0.1 5.42 ( 0.25 )1.97 ( 0.11 )0.29 ( 0 ) 0.35 8.45 0.48
    1000 50 0.1 4.91 ( 0.2 ) 1.57 ( 0.09 )0.28 ( 0 ) 0.44 8.34 0.44
    50 100 0.1 4.73 ( 0.22 )4.79 ( 0.08 )0.37 ( 0.02 )0.06 4.94 0.72
    100 100 0.1 3 ( 0.15 ) 4.75 ( 0.09 )0.34 ( 0.01 )0.13 3.25 0.57
    \n" + ], + "text/latex": [ + "\\begin{tabular}{r|lllllllll}\n", + " n & p & rou & FP & FN & MSE & Stab & num\\_select & FDR\\\\\n", + "\\hline\n", + "\t 50 & 50 & 0.1 & 3.52 ( 0.22 ) & 4.92 ( 0.08 ) & 0.36 ( 0.01 ) & 0.05 & 3.60 & 0.65 \\\\\n", + "\t 100 & 50 & 0.1 & 2.71 ( 0.25 ) & 4.4 ( 0.1 ) & 0.31 ( 0.01 ) & 0.18 & 3.31 & 0.42 \\\\\n", + "\t 500 & 50 & 0.1 & 5.42 ( 0.25 ) & 1.97 ( 0.11 ) & 0.29 ( 0 ) & 0.35 & 8.45 & 0.48 \\\\\n", + "\t 1000 & 50 & 0.1 & 4.91 ( 0.2 ) & 1.57 ( 0.09 ) & 0.28 ( 0 ) & 0.44 & 8.34 & 0.44 \\\\\n", + "\t 50 & 100 & 0.1 & 4.73 ( 0.22 ) & 4.79 ( 0.08 ) & 0.37 ( 0.02 ) & 0.06 & 4.94 & 0.72 \\\\\n", + "\t 100 & 100 & 0.1 & 3 ( 0.15 ) & 4.75 ( 0.09 ) & 0.34 ( 0.01 ) & 0.13 & 3.25 & 0.57 \\\\\n", + "\\end{tabular}\n" + ], + "text/markdown": [ + "\n", + "| n | p | rou | FP | FN | MSE | Stab | num_select | FDR |\n", + "|---|---|---|---|---|---|---|---|---|\n", + "| 50 | 50 | 0.1 | 3.52 ( 0.22 ) | 4.92 ( 0.08 ) | 0.36 ( 0.01 ) | 0.05 | 3.60 | 0.65 |\n", + "| 100 | 50 | 0.1 | 2.71 ( 0.25 ) | 4.4 ( 0.1 ) | 0.31 ( 0.01 ) | 0.18 | 3.31 | 0.42 |\n", + "| 500 | 50 | 0.1 | 5.42 ( 0.25 ) | 1.97 ( 0.11 ) | 0.29 ( 0 ) | 0.35 | 8.45 | 0.48 |\n", + "| 1000 | 50 | 0.1 | 4.91 ( 0.2 ) | 1.57 ( 0.09 ) | 0.28 ( 0 ) | 0.44 | 8.34 | 0.44 |\n", + "| 50 | 100 | 0.1 | 4.73 ( 0.22 ) | 4.79 ( 0.08 ) | 0.37 ( 0.02 ) | 0.06 | 4.94 | 0.72 |\n", + "| 100 | 100 | 0.1 | 3 ( 0.15 ) | 4.75 ( 0.09 ) | 0.34 ( 0.01 ) | 0.13 | 3.25 | 0.57 |\n", + "\n" + ], + "text/plain": [ + " n p rou FP FN MSE Stab num_select FDR \n", + "1 50 50 0.1 3.52 ( 0.22 ) 4.92 ( 0.08 ) 0.36 ( 0.01 ) 0.05 3.60 0.65\n", + "2 100 50 0.1 2.71 ( 0.25 ) 4.4 ( 0.1 ) 0.31 ( 0.01 ) 0.18 3.31 0.42\n", + "3 500 50 0.1 5.42 ( 0.25 ) 1.97 ( 0.11 ) 0.29 ( 0 ) 0.35 8.45 0.48\n", + "4 1000 50 0.1 4.91 ( 0.2 ) 1.57 ( 0.09 ) 0.28 ( 0 ) 0.44 8.34 0.44\n", + "5 50 100 0.1 4.73 ( 0.22 ) 4.79 ( 0.08 ) 0.37 ( 0.02 ) 0.06 4.94 0.72\n", + "6 100 100 0.1 3 ( 0.15 ) 4.75 ( 0.09 ) 0.34 ( 0.01 ) 0.13 3.25 0.57" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "head(table_block)" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "extract_numeric() is deprecated: please use readr::parse_number() instead\n", + "extract_numeric() is deprecated: please use readr::parse_number() instead\n" + ] + } + ], + "source": [ + "# export result\n", + "result.table_block <- apply(table_block,2,as.character)\n", + "rownames(result.table_block) = rownames(table_block)\n", + "result.table_block = as.data.frame(result.table_block)\n", + "\n", + "# extract numbers only for 'n' & 'p'\n", + "result.table_block$n = tidyr::extract_numeric(result.table_block$n)\n", + "result.table_block$p = tidyr::extract_numeric(result.table_block$p)\n", + "result.table_block$ratio = result.table_block$p / result.table_block$n\n", + "\n", + "result.table_block = result.table_block[c('n', 'p', 'rou', 'ratio', 'Stab', 'MSE', 'FP', 'FN', 'num_select', 'FDR')]\n", + "colnames(result.table_block)[1:4] = c('N', 'P', 'Corr', 'Ratio')" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Warning message in eval(expr, envir, enclos):\n", + "“NAs introduced by coercion”Warning message in eval(expr, envir, enclos):\n", + "“NAs introduced by coercion”" + ] + } + ], + "source": [ + "# convert interested measurements to be numeric\n", + "result.table_block$Stab = as.numeric(as.character(result.table_block$Stab))\n", + "result.table_block$MSE_mean = as.numeric(substr(result.table_block$MSE, start=1, stop=4))\n", + "result.table_block$FP_mean = as.numeric(substr(result.table_block$FP, start=1, stop=4))\n", + "result.table_block$FN_mean = as.numeric(substr(result.table_block$FN, start=1, stop=4))\n", + "result.table_block$FN_mean[is.na(result.table_block$FN_mean)] = 0\n", + "result.table_block$num_select = as.numeric(as.character(result.table_block$num_select))" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", + "\n", + "\t\n", + "\n", + "
    NPCorrRatioStabMSEFPFNnum_selectFDRMSE_meanFP_meanFN_mean
    6100 100 0.1 1 0.13 0.34 ( 0.01 )3 ( 0.15 ) 4.75 ( 0.09 )3.25 0.57 0.34 NA 4.75
    \n" + ], + "text/latex": [ + "\\begin{tabular}{r|lllllllllllll}\n", + " & N & P & Corr & Ratio & Stab & MSE & FP & FN & num\\_select & FDR & MSE\\_mean & FP\\_mean & FN\\_mean\\\\\n", + "\\hline\n", + "\t6 & 100 & 100 & 0.1 & 1 & 0.13 & 0.34 ( 0.01 ) & 3 ( 0.15 ) & 4.75 ( 0.09 ) & 3.25 & 0.57 & 0.34 & NA & 4.75 \\\\\n", + "\\end{tabular}\n" + ], + "text/markdown": [ + "\n", + "| | N | P | Corr | Ratio | Stab | MSE | FP | FN | num_select | FDR | MSE_mean | FP_mean | FN_mean |\n", + "|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n", + "| 6 | 100 | 100 | 0.1 | 1 | 0.13 | 0.34 ( 0.01 ) | 3 ( 0.15 ) | 4.75 ( 0.09 ) | 3.25 | 0.57 | 0.34 | NA | 4.75 |\n", + "\n" + ], + "text/plain": [ + " N P Corr Ratio Stab MSE FP FN num_select\n", + "6 100 100 0.1 1 0.13 0.34 ( 0.01 ) 3 ( 0.15 ) 4.75 ( 0.09 ) 3.25 \n", + " FDR MSE_mean FP_mean FN_mean\n", + "6 0.57 0.34 NA 4.75 " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# check whether missing values exists\n", + "result.table_block[rowSums(is.na(result.table_block)) > 0,]" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [], + "source": [ + "# recover values\n", + "result.table_block$FP_mean[is.na(result.table_block$FP_mean)] = 3" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", + "\n", + "\t\n", + "\n", + "
    NPCorrRatioStabMSEFPFNnum_selectFDRMSE_meanFP_meanFN_mean
    6100 100 0.1 1 0.13 0.34 ( 0.01 )3 ( 0.15 ) 4.75 ( 0.09 )3.25 0.57 0.34 3 4.75
    \n" + ], + "text/latex": [ + "\\begin{tabular}{r|lllllllllllll}\n", + " & N & P & Corr & Ratio & Stab & MSE & FP & FN & num\\_select & FDR & MSE\\_mean & FP\\_mean & FN\\_mean\\\\\n", + "\\hline\n", + "\t6 & 100 & 100 & 0.1 & 1 & 0.13 & 0.34 ( 0.01 ) & 3 ( 0.15 ) & 4.75 ( 0.09 ) & 3.25 & 0.57 & 0.34 & 3 & 4.75 \\\\\n", + "\\end{tabular}\n" + ], + "text/markdown": [ + "\n", + "| | N | P | Corr | Ratio | Stab | MSE | FP | FN | num_select | FDR | MSE_mean | FP_mean | FN_mean |\n", + "|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n", + "| 6 | 100 | 100 | 0.1 | 1 | 0.13 | 0.34 ( 0.01 ) | 3 ( 0.15 ) | 4.75 ( 0.09 ) | 3.25 | 0.57 | 0.34 | 3 | 4.75 |\n", + "\n" + ], + "text/plain": [ + " N P Corr Ratio Stab MSE FP FN num_select\n", + "6 100 100 0.1 1 0.13 0.34 ( 0.01 ) 3 ( 0.15 ) 4.75 ( 0.09 ) 3.25 \n", + " FDR MSE_mean FP_mean FN_mean\n", + "6 0.57 0.34 3 4.75 " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "result.table_block[6, ]" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", + "\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\n", + "
    NPCorrRatioStabMSEFPFNnum_selectFDRMSE_meanFP_meanFN_mean
    50 50 0.1 1.00 0.05 0.36 ( 0.01 )3.52 ( 0.22 )4.92 ( 0.08 )3.60 0.65 0.36 3.52 4.92
    100 50 0.1 0.50 0.18 0.31 ( 0.01 )2.71 ( 0.25 )4.4 ( 0.1 ) 3.31 0.42 0.31 2.71 4.40
    500 50 0.1 0.10 0.35 0.29 ( 0 ) 5.42 ( 0.25 )1.97 ( 0.11 )8.45 0.48 0.29 5.42 1.97
    1000 50 0.1 0.05 0.44 0.28 ( 0 ) 4.91 ( 0.2 ) 1.57 ( 0.09 )8.34 0.44 0.28 4.91 1.57
    50 100 0.1 2.00 0.06 0.37 ( 0.02 )4.73 ( 0.22 )4.79 ( 0.08 )4.94 0.72 0.37 4.73 4.79
    100 100 0.1 1.00 0.13 0.34 ( 0.01 )3 ( 0.15 ) 4.75 ( 0.09 )3.25 0.57 0.34 3.00 4.75
    \n" + ], + "text/latex": [ + "\\begin{tabular}{r|lllllllllllll}\n", + " N & P & Corr & Ratio & Stab & MSE & FP & FN & num\\_select & FDR & MSE\\_mean & FP\\_mean & FN\\_mean\\\\\n", + "\\hline\n", + "\t 50 & 50 & 0.1 & 1.00 & 0.05 & 0.36 ( 0.01 ) & 3.52 ( 0.22 ) & 4.92 ( 0.08 ) & 3.60 & 0.65 & 0.36 & 3.52 & 4.92 \\\\\n", + "\t 100 & 50 & 0.1 & 0.50 & 0.18 & 0.31 ( 0.01 ) & 2.71 ( 0.25 ) & 4.4 ( 0.1 ) & 3.31 & 0.42 & 0.31 & 2.71 & 4.40 \\\\\n", + "\t 500 & 50 & 0.1 & 0.10 & 0.35 & 0.29 ( 0 ) & 5.42 ( 0.25 ) & 1.97 ( 0.11 ) & 8.45 & 0.48 & 0.29 & 5.42 & 1.97 \\\\\n", + "\t 1000 & 50 & 0.1 & 0.05 & 0.44 & 0.28 ( 0 ) & 4.91 ( 0.2 ) & 1.57 ( 0.09 ) & 8.34 & 0.44 & 0.28 & 4.91 & 1.57 \\\\\n", + "\t 50 & 100 & 0.1 & 2.00 & 0.06 & 0.37 ( 0.02 ) & 4.73 ( 0.22 ) & 4.79 ( 0.08 ) & 4.94 & 0.72 & 0.37 & 4.73 & 4.79 \\\\\n", + "\t 100 & 100 & 0.1 & 1.00 & 0.13 & 0.34 ( 0.01 ) & 3 ( 0.15 ) & 4.75 ( 0.09 ) & 3.25 & 0.57 & 0.34 & 3.00 & 4.75 \\\\\n", + "\\end{tabular}\n" + ], + "text/markdown": [ + "\n", + "| N | P | Corr | Ratio | Stab | MSE | FP | FN | num_select | FDR | MSE_mean | FP_mean | FN_mean |\n", + "|---|---|---|---|---|---|---|---|---|---|---|---|---|\n", + "| 50 | 50 | 0.1 | 1.00 | 0.05 | 0.36 ( 0.01 ) | 3.52 ( 0.22 ) | 4.92 ( 0.08 ) | 3.60 | 0.65 | 0.36 | 3.52 | 4.92 |\n", + "| 100 | 50 | 0.1 | 0.50 | 0.18 | 0.31 ( 0.01 ) | 2.71 ( 0.25 ) | 4.4 ( 0.1 ) | 3.31 | 0.42 | 0.31 | 2.71 | 4.40 |\n", + "| 500 | 50 | 0.1 | 0.10 | 0.35 | 0.29 ( 0 ) | 5.42 ( 0.25 ) | 1.97 ( 0.11 ) | 8.45 | 0.48 | 0.29 | 5.42 | 1.97 |\n", + "| 1000 | 50 | 0.1 | 0.05 | 0.44 | 0.28 ( 0 ) | 4.91 ( 0.2 ) | 1.57 ( 0.09 ) | 8.34 | 0.44 | 0.28 | 4.91 | 1.57 |\n", + "| 50 | 100 | 0.1 | 2.00 | 0.06 | 0.37 ( 0.02 ) | 4.73 ( 0.22 ) | 4.79 ( 0.08 ) | 4.94 | 0.72 | 0.37 | 4.73 | 4.79 |\n", + "| 100 | 100 | 0.1 | 1.00 | 0.13 | 0.34 ( 0.01 ) | 3 ( 0.15 ) | 4.75 ( 0.09 ) | 3.25 | 0.57 | 0.34 | 3.00 | 4.75 |\n", + "\n" + ], + "text/plain": [ + " N P Corr Ratio Stab MSE FP FN num_select\n", + "1 50 50 0.1 1.00 0.05 0.36 ( 0.01 ) 3.52 ( 0.22 ) 4.92 ( 0.08 ) 3.60 \n", + "2 100 50 0.1 0.50 0.18 0.31 ( 0.01 ) 2.71 ( 0.25 ) 4.4 ( 0.1 ) 3.31 \n", + "3 500 50 0.1 0.10 0.35 0.29 ( 0 ) 5.42 ( 0.25 ) 1.97 ( 0.11 ) 8.45 \n", + "4 1000 50 0.1 0.05 0.44 0.28 ( 0 ) 4.91 ( 0.2 ) 1.57 ( 0.09 ) 8.34 \n", + "5 50 100 0.1 2.00 0.06 0.37 ( 0.02 ) 4.73 ( 0.22 ) 4.79 ( 0.08 ) 4.94 \n", + "6 100 100 0.1 1.00 0.13 0.34 ( 0.01 ) 3 ( 0.15 ) 4.75 ( 0.09 ) 3.25 \n", + " FDR MSE_mean FP_mean FN_mean\n", + "1 0.65 0.36 3.52 4.92 \n", + "2 0.42 0.31 2.71 4.40 \n", + "3 0.48 0.29 5.42 1.97 \n", + "4 0.44 0.28 4.91 1.57 \n", + "5 0.72 0.37 4.73 4.79 \n", + "6 0.57 0.34 3.00 4.75 " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "head(result.table_block)" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", + "\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\n", + "
    NPCorrRatioStabMSEFPFNnum_selectFDRMSE_meanFP_meanFN_mean
    75 500 500 0.9 1.0 0.50 0.29 ( 0 ) 6.87 ( 0.54 ) 0 ( 0 ) 11.87 0.41 0.29 6.87 0.00
    761000 500 0.9 0.5 0.71 0.27 ( 0 ) 3.37 ( 0.27 ) 0 ( 0 ) 8.37 0.23 0.27 3.37 0.00
    77 50 1000 0.9 20.0 0.11 2.46 ( 0.16 ) 25.37 ( 0.35 )1.73 ( 0.12 ) 28.64 0.85 2.46 25.30 1.73
    78 100 1000 0.9 10.0 0.22 0.62 ( 0.03 ) 21.43 ( 0.62 )0 ( 0 ) 26.43 0.76 0.62 21.40 0.00
    79 500 1000 0.9 2.0 0.46 0.3 ( 0 ) 7.99 ( 0.79 ) 0 ( 0 ) 12.99 0.42 0.30 7.99 0.00
    801000 1000 0.9 1.0 0.60 0.28 ( 0 ) 4.93 ( 0.43 ) 0 ( 0 ) 9.93 0.31 0.28 4.93 0.00
    \n" + ], + "text/latex": [ + "\\begin{tabular}{r|lllllllllllll}\n", + " & N & P & Corr & Ratio & Stab & MSE & FP & FN & num\\_select & FDR & MSE\\_mean & FP\\_mean & FN\\_mean\\\\\n", + "\\hline\n", + "\t75 & 500 & 500 & 0.9 & 1.0 & 0.50 & 0.29 ( 0 ) & 6.87 ( 0.54 ) & 0 ( 0 ) & 11.87 & 0.41 & 0.29 & 6.87 & 0.00 \\\\\n", + "\t76 & 1000 & 500 & 0.9 & 0.5 & 0.71 & 0.27 ( 0 ) & 3.37 ( 0.27 ) & 0 ( 0 ) & 8.37 & 0.23 & 0.27 & 3.37 & 0.00 \\\\\n", + "\t77 & 50 & 1000 & 0.9 & 20.0 & 0.11 & 2.46 ( 0.16 ) & 25.37 ( 0.35 ) & 1.73 ( 0.12 ) & 28.64 & 0.85 & 2.46 & 25.30 & 1.73 \\\\\n", + "\t78 & 100 & 1000 & 0.9 & 10.0 & 0.22 & 0.62 ( 0.03 ) & 21.43 ( 0.62 ) & 0 ( 0 ) & 26.43 & 0.76 & 0.62 & 21.40 & 0.00 \\\\\n", + "\t79 & 500 & 1000 & 0.9 & 2.0 & 0.46 & 0.3 ( 0 ) & 7.99 ( 0.79 ) & 0 ( 0 ) & 12.99 & 0.42 & 0.30 & 7.99 & 0.00 \\\\\n", + "\t80 & 1000 & 1000 & 0.9 & 1.0 & 0.60 & 0.28 ( 0 ) & 4.93 ( 0.43 ) & 0 ( 0 ) & 9.93 & 0.31 & 0.28 & 4.93 & 0.00 \\\\\n", + "\\end{tabular}\n" + ], + "text/markdown": [ + "\n", + "| | N | P | Corr | Ratio | Stab | MSE | FP | FN | num_select | FDR | MSE_mean | FP_mean | FN_mean |\n", + "|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n", + "| 75 | 500 | 500 | 0.9 | 1.0 | 0.50 | 0.29 ( 0 ) | 6.87 ( 0.54 ) | 0 ( 0 ) | 11.87 | 0.41 | 0.29 | 6.87 | 0.00 |\n", + "| 76 | 1000 | 500 | 0.9 | 0.5 | 0.71 | 0.27 ( 0 ) | 3.37 ( 0.27 ) | 0 ( 0 ) | 8.37 | 0.23 | 0.27 | 3.37 | 0.00 |\n", + "| 77 | 50 | 1000 | 0.9 | 20.0 | 0.11 | 2.46 ( 0.16 ) | 25.37 ( 0.35 ) | 1.73 ( 0.12 ) | 28.64 | 0.85 | 2.46 | 25.30 | 1.73 |\n", + "| 78 | 100 | 1000 | 0.9 | 10.0 | 0.22 | 0.62 ( 0.03 ) | 21.43 ( 0.62 ) | 0 ( 0 ) | 26.43 | 0.76 | 0.62 | 21.40 | 0.00 |\n", + "| 79 | 500 | 1000 | 0.9 | 2.0 | 0.46 | 0.3 ( 0 ) | 7.99 ( 0.79 ) | 0 ( 0 ) | 12.99 | 0.42 | 0.30 | 7.99 | 0.00 |\n", + "| 80 | 1000 | 1000 | 0.9 | 1.0 | 0.60 | 0.28 ( 0 ) | 4.93 ( 0.43 ) | 0 ( 0 ) | 9.93 | 0.31 | 0.28 | 4.93 | 0.00 |\n", + "\n" + ], + "text/plain": [ + " N P Corr Ratio Stab MSE FP FN \n", + "75 500 500 0.9 1.0 0.50 0.29 ( 0 ) 6.87 ( 0.54 ) 0 ( 0 ) \n", + "76 1000 500 0.9 0.5 0.71 0.27 ( 0 ) 3.37 ( 0.27 ) 0 ( 0 ) \n", + "77 50 1000 0.9 20.0 0.11 2.46 ( 0.16 ) 25.37 ( 0.35 ) 1.73 ( 0.12 )\n", + "78 100 1000 0.9 10.0 0.22 0.62 ( 0.03 ) 21.43 ( 0.62 ) 0 ( 0 ) \n", + "79 500 1000 0.9 2.0 0.46 0.3 ( 0 ) 7.99 ( 0.79 ) 0 ( 0 ) \n", + "80 1000 1000 0.9 1.0 0.60 0.28 ( 0 ) 4.93 ( 0.43 ) 0 ( 0 ) \n", + " num_select FDR MSE_mean FP_mean FN_mean\n", + "75 11.87 0.41 0.29 6.87 0.00 \n", + "76 8.37 0.23 0.27 3.37 0.00 \n", + "77 28.64 0.85 2.46 25.30 1.73 \n", + "78 26.43 0.76 0.62 21.40 0.00 \n", + "79 12.99 0.42 0.30 7.99 0.00 \n", + "80 9.93 0.31 0.28 4.93 0.00 " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "tail(result.table_block)" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [], + "source": [ + "## export\n", + "write.table(result.table_block, '../results_summary/sim_block_lasso.txt', sep='\\t', row.names=F)" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Registered S3 methods overwritten by 'ggplot2':\n", + " method from \n", + " [.quosures rlang\n", + " c.quosures rlang\n", + " print.quosures rlang\n", + "Loading required package: magrittr\n", + "Warning message:\n", + "“Using size for a discrete variable is not advised.”Warning message:\n", + "“Using alpha for a discrete variable is not advised.”Warning message:\n", + "“Using size for a discrete variable is not advised.”Warning message:\n", + "“Using alpha for a discrete variable is not advised.”Warning message:\n", + "“Using size for a discrete variable is not advised.”Warning message:\n", + "“Using alpha for a discrete variable is not advised.”Warning message:\n", + "“Using size for a discrete variable is not advised.”Warning message:\n", + "“Using alpha for a discrete variable is not advised.”file saved to ../figures_sim/figure_block_lasso.pdf\n" + ] + } + ], + "source": [ + "library(ggplot2)\n", + "library(ggpubr)\n", + "result.table_block$N = as.factor(result.table_block$N)\n", + "fig_block_stab = ggplot(result.table_block, aes(x=P, y=Stab, color=N)) + \n", + " geom_point(aes(size = Corr, alpha=Corr)) + theme(legend.position = \"none\") +\n", + " scale_size_discrete(range = c(1,4)) + scale_alpha_discrete(range = c(1, 0.4)) + ylab('Stability')\n", + "\n", + "fig_block_mse = ggplot(result.table_block, aes(x=P, y=MSE_mean, color=N)) + \n", + " geom_point(aes(size = Corr, alpha=Corr)) + theme(legend.position=\"none\") +\n", + " scale_size_discrete(range = c(1,4)) + scale_alpha_discrete(range = c(1, 0.4)) + ylab('MSE')\n", + "\n", + "fig_block_fp = ggplot(result.table_block, aes(x=P, y=FP_mean, color=N)) + \n", + " geom_point(aes(size = Corr, alpha=Corr)) + theme(legend.position = \"none\") +\n", + " scale_size_discrete(range = c(1,4)) + scale_alpha_discrete(range = c(1, 0.4)) + ylab('False Positives')\n", + "\n", + "fig_block_fn = ggplot(result.table_block, aes(x=P, y=FN_mean, color=N)) + \n", + " geom_point(aes(size = Corr, alpha=Corr)) + theme(legend.position = \"none\") +\n", + " scale_size_discrete(range = c(1,4)) + scale_alpha_discrete(range = c(1, 0.4)) + ylab('False Negatives')\n", + "fig = ggarrange(fig_block_stab, fig_block_mse, fig_block_fp, fig_block_fn, ncol=2, nrow=2, \n", + " common.legend = TRUE, legend=\"right\") \n", + "fig = annotate_figure(fig, top = text_grob(\"Block_Lasso\"))\n", + "ggexport(fig, filename = \"../figures_sim/figure_block_lasso.pdf\", height=6, width=6)" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", + "\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\n", + "
    NPCorrRatioStabMSEFPFNMSE_meanFP_meanFN_mean
    150 50 0.1 1.0 0.05 0.36 ( 0.01 ) 3.52 ( 0.22 ) 4.92 ( 0.08 ) 0.36 3.52 4.92
    1750 50 0.3 1.0 0.27 0.72 ( 0.04 ) 8.7 ( 0.42 ) 0.79 ( 0.09 ) 0.72 8.70 0.79
    3350 50 0.5 1.0 0.33 0.64 ( 0.03 ) 9.36 ( 0.45 ) 0.12 ( 0.04 ) 0.64 9.36 0.12
    4950 50 0.7 1.0 0.36 0.57 ( 0.04 ) 8.63 ( 0.41 ) 0.06 ( 0.02 ) 0.57 8.63 0.06
    6550 50 0.9 1.0 0.32 0.61 ( 0.05 ) 9.61 ( 0.49 ) 0.07 ( 0.03 ) 0.61 9.61 0.07
    550 100 0.1 2.0 0.06 0.37 ( 0.02 ) 4.73 ( 0.22 ) 4.79 ( 0.08 ) 0.37 4.73 4.79
    2150 100 0.3 2.0 0.21 0.82 ( 0.05 ) 12.31 ( 0.43 )1.14 ( 0.1 ) 0.82 12.30 1.14
    3750 100 0.5 2.0 0.28 0.78 ( 0.05 ) 12.05 ( 0.47 )0.38 ( 0.07 ) 0.78 12.00 0.38
    5350 100 0.7 2.0 0.30 0.82 ( 0.05 ) 11.87 ( 0.44 )0.17 ( 0.05 ) 0.82 11.80 0.17
    6950 100 0.9 2.0 0.29 0.87 ( 0.05 ) 12.12 ( 0.37 )0.17 ( 0.05 ) 0.87 12.10 0.17
    950 500 0.1 10.0 0.01 0.37 ( 0.02 ) 10.58 ( 0.31 )5.25 ( 0.07 ) 0.37 10.50 5.25
    2550 500 0.3 10.0 0.09 1.25 ( 0.07 ) 20.71 ( 0.36 )2.63 ( 0.11 ) 1.25 20.70 2.63
    4150 500 0.5 10.0 0.12 1.64 ( 0.1 ) 21.8 ( 0.36 ) 1.82 ( 0.11 ) 1.64 21.80 1.82
    5750 500 0.7 10.0 0.15 2.03 ( 0.14 ) 21.53 ( 0.36 )1.18 ( 0.11 ) 2.03 21.50 1.18
    7350 500 0.9 10.0 0.14 2.29 ( 0.15 ) 23.7 ( 0.43 ) 1.18 ( 0.11 ) 2.29 23.70 1.18
    1350 1000 0.1 20.0 0.01 0.39 ( 0.02 ) 13.99 ( 0.32 )5.31 ( 0.07 ) 0.39 13.90 5.31
    2950 1000 0.3 20.0 0.06 1.51 ( 0.08 ) 24.06 ( 0.36 )3.21 ( 0.11 ) 1.51 24.00 3.21
    4550 1000 0.5 20.0 0.09 1.84 ( 0.1 ) 24.67 ( 0.36 )2.56 ( 0.11 ) 1.84 24.60 2.56
    6150 1000 0.7 20.0 0.10 2.51 ( 0.13 ) 25.24 ( 0.32 )2.11 ( 0.12 ) 2.51 25.20 2.11
    7750 1000 0.9 20.0 0.11 2.46 ( 0.16 ) 25.37 ( 0.35 )1.73 ( 0.12 ) 2.46 25.30 1.73
    2100 50 0.1 0.5 0.18 0.31 ( 0.01 ) 2.71 ( 0.25 ) 4.4 ( 0.1 ) 0.31 2.71 4.40
    18100 50 0.3 0.5 0.39 0.4 ( 0.01 ) 7.91 ( 0.47 ) 0.01 ( 0.01 ) 0.40 7.91 0.01
    34100 50 0.5 0.5 0.41 0.36 ( 0.01 ) 7.39 ( 0.39 ) 0 ( 0 ) 0.36 7.39 0.00
    50100 50 0.7 0.5 0.45 0.37 ( 0.01 ) 6.73 ( 0.39 ) 0 ( 0 ) 0.37 6.73 0.00
    66100 50 0.9 0.5 0.44 0.37 ( 0.01 ) 6.82 ( 0.39 ) 0 ( 0 ) 0.37 6.82 0.00
    6100 100 0.1 1.0 0.13 0.34 ( 0.01 ) 3 ( 0.15 ) 4.75 ( 0.09 ) 0.34 3.00 4.75
    22100 100 0.3 1.0 0.34 0.44 ( 0.01 ) 10.58 ( 0.62 )0.09 ( 0.03 ) 0.44 10.50 0.09
    38100 100 0.5 1.0 0.37 0.42 ( 0.02 ) 9.57 ( 0.58 ) 0 ( 0 ) 0.42 9.57 0.00
    54100 100 0.7 1.0 0.37 0.41 ( 0.02 ) 9.7 ( 0.63 ) 0 ( 0 ) 0.41 9.70 0.00
    70100 100 0.9 1.0 0.40 0.38 ( 0.01 ) 8.72 ( 0.53 ) 0 ( 0 ) 0.38 8.72 0.00
    ....................................
    11500 500 0.1 1.00 0.33 0.32 ( 0.01 ) 3.77 ( 0.75 ) 3.69 ( 0.08 ) 0.32 3.77 3.69
    27500 500 0.3 1.00 0.47 0.29 ( 0 ) 7.7 ( 0.54 ) 0 ( 0 ) 0.29 7.70 0.00
    43500 500 0.5 1.00 0.46 0.3 ( 0 ) 7.82 ( 0.64 ) 0 ( 0 ) 0.30 7.82 0.00
    59500 500 0.7 1.00 0.51 0.29 ( 0 ) 6.69 ( 0.45 ) 0 ( 0 ) 0.29 6.69 0.00
    75500 500 0.9 1.00 0.50 0.29 ( 0 ) 6.87 ( 0.54 ) 0 ( 0 ) 0.29 6.87 0.00
    15500 1000 0.1 2.00 0.48 0.33 ( 0 ) 1.83 ( 0.19 ) 3.97 ( 0.07 ) 0.33 1.83 3.97
    31500 1000 0.3 2.00 0.35 0.29 ( 0 ) 11.72 ( 0.9 ) 0 ( 0 ) 0.29 11.70 0.00
    47500 1000 0.5 2.00 0.45 0.29 ( 0 ) 8.22 ( 0.73 ) 0 ( 0 ) 0.29 8.22 0.00
    63500 1000 0.7 2.00 0.47 0.3 ( 0 ) 7.81 ( 0.61 ) 0 ( 0 ) 0.30 7.81 0.00
    79500 1000 0.9 2.00 0.46 0.3 ( 0 ) 7.99 ( 0.79 ) 0 ( 0 ) 0.30 7.99 0.00
    41000 50 0.1 0.05 0.44 0.28 ( 0 ) 4.91 ( 0.2 ) 1.57 ( 0.09 ) 0.28 4.91 1.57
    201000 50 0.3 0.05 0.78 0.27 ( 0 ) 2.45 ( 0.14 ) 0 ( 0 ) 0.27 2.45 0.00
    361000 50 0.5 0.05 0.82 0.27 ( 0 ) 2.11 ( 0.13 ) 0 ( 0 ) 0.27 2.11 0.00
    521000 50 0.7 0.05 0.85 0.27 ( 0 ) 1.89 ( 0.12 ) 0 ( 0 ) 0.27 1.89 0.00
    681000 50 0.9 0.05 0.87 0.27 ( 0 ) 1.76 ( 0.11 ) 0 ( 0 ) 0.27 1.76 0.00
    81000 100 0.1 0.10 0.33 0.29 ( 0 ) 7.77 ( 0.33 ) 1.44 ( 0.08 ) 0.29 7.77 1.44
    241000 100 0.3 0.10 0.69 0.27 ( 0 ) 3.46 ( 0.29 ) 0 ( 0 ) 0.27 3.46 0.00
    401000 100 0.5 0.10 0.78 0.27 ( 0 ) 2.58 ( 0.16 ) 0 ( 0 ) 0.27 2.58 0.00
    561000 100 0.7 0.10 0.76 0.27 ( 0 ) 2.71 ( 0.23 ) 0 ( 0 ) 0.27 2.71 0.00
    721000 100 0.9 0.10 0.76 0.27 ( 0 ) 2.72 ( 0.23 ) 0 ( 0 ) 0.27 2.72 0.00
    121000 500 0.1 0.50 0.14 0.29 ( 0 ) 20.61 ( 1.39 )2.11 ( 0.1 ) 0.29 20.60 2.11
    281000 500 0.3 0.50 0.53 0.27 ( 0 ) 6.14 ( 0.57 ) 0 ( 0 ) 0.27 6.14 0.00
    441000 500 0.5 0.50 0.65 0.28 ( 0 ) 4.16 ( 0.33 ) 0 ( 0 ) 0.28 4.16 0.00
    601000 500 0.7 0.50 0.62 0.28 ( 0 ) 4.65 ( 0.37 ) 0 ( 0 ) 0.28 4.65 0.00
    761000 500 0.9 0.50 0.71 0.27 ( 0 ) 3.37 ( 0.27 ) 0 ( 0 ) 0.27 3.37 0.00
    161000 1000 0.1 1.00 0.17 0.3 ( 0 ) 13.42 ( 1.74 )2.77 ( 0.09 ) 0.30 13.40 2.77
    321000 1000 0.3 1.00 0.51 0.27 ( 0 ) 6.69 ( 0.52 ) 0 ( 0 ) 0.27 6.69 0.00
    481000 1000 0.5 1.00 0.53 0.27 ( 0 ) 6.36 ( 0.51 ) 0 ( 0 ) 0.27 6.36 0.00
    641000 1000 0.7 1.00 0.65 0.28 ( 0 ) 4.14 ( 0.35 ) 0 ( 0 ) 0.28 4.14 0.00
    801000 1000 0.9 1.00 0.60 0.28 ( 0 ) 4.93 ( 0.43 ) 0 ( 0 ) 0.28 4.93 0.00
    \n" + ], + "text/latex": [ + "\\begin{tabular}{r|lllllllllll}\n", + " & N & P & Corr & Ratio & Stab & MSE & FP & FN & MSE\\_mean & FP\\_mean & FN\\_mean\\\\\n", + "\\hline\n", + "\t1 & 50 & 50 & 0.1 & 1.0 & 0.05 & 0.36 ( 0.01 ) & 3.52 ( 0.22 ) & 4.92 ( 0.08 ) & 0.36 & 3.52 & 4.92 \\\\\n", + "\t17 & 50 & 50 & 0.3 & 1.0 & 0.27 & 0.72 ( 0.04 ) & 8.7 ( 0.42 ) & 0.79 ( 0.09 ) & 0.72 & 8.70 & 0.79 \\\\\n", + "\t33 & 50 & 50 & 0.5 & 1.0 & 0.33 & 0.64 ( 0.03 ) & 9.36 ( 0.45 ) & 0.12 ( 0.04 ) & 0.64 & 9.36 & 0.12 \\\\\n", + "\t49 & 50 & 50 & 0.7 & 1.0 & 0.36 & 0.57 ( 0.04 ) & 8.63 ( 0.41 ) & 0.06 ( 0.02 ) & 0.57 & 8.63 & 0.06 \\\\\n", + "\t65 & 50 & 50 & 0.9 & 1.0 & 0.32 & 0.61 ( 0.05 ) & 9.61 ( 0.49 ) & 0.07 ( 0.03 ) & 0.61 & 9.61 & 0.07 \\\\\n", + "\t5 & 50 & 100 & 0.1 & 2.0 & 0.06 & 0.37 ( 0.02 ) & 4.73 ( 0.22 ) & 4.79 ( 0.08 ) & 0.37 & 4.73 & 4.79 \\\\\n", + "\t21 & 50 & 100 & 0.3 & 2.0 & 0.21 & 0.82 ( 0.05 ) & 12.31 ( 0.43 ) & 1.14 ( 0.1 ) & 0.82 & 12.30 & 1.14 \\\\\n", + "\t37 & 50 & 100 & 0.5 & 2.0 & 0.28 & 0.78 ( 0.05 ) & 12.05 ( 0.47 ) & 0.38 ( 0.07 ) & 0.78 & 12.00 & 0.38 \\\\\n", + "\t53 & 50 & 100 & 0.7 & 2.0 & 0.30 & 0.82 ( 0.05 ) & 11.87 ( 0.44 ) & 0.17 ( 0.05 ) & 0.82 & 11.80 & 0.17 \\\\\n", + "\t69 & 50 & 100 & 0.9 & 2.0 & 0.29 & 0.87 ( 0.05 ) & 12.12 ( 0.37 ) & 0.17 ( 0.05 ) & 0.87 & 12.10 & 0.17 \\\\\n", + "\t9 & 50 & 500 & 0.1 & 10.0 & 0.01 & 0.37 ( 0.02 ) & 10.58 ( 0.31 ) & 5.25 ( 0.07 ) & 0.37 & 10.50 & 5.25 \\\\\n", + "\t25 & 50 & 500 & 0.3 & 10.0 & 0.09 & 1.25 ( 0.07 ) & 20.71 ( 0.36 ) & 2.63 ( 0.11 ) & 1.25 & 20.70 & 2.63 \\\\\n", + "\t41 & 50 & 500 & 0.5 & 10.0 & 0.12 & 1.64 ( 0.1 ) & 21.8 ( 0.36 ) & 1.82 ( 0.11 ) & 1.64 & 21.80 & 1.82 \\\\\n", + "\t57 & 50 & 500 & 0.7 & 10.0 & 0.15 & 2.03 ( 0.14 ) & 21.53 ( 0.36 ) & 1.18 ( 0.11 ) & 2.03 & 21.50 & 1.18 \\\\\n", + "\t73 & 50 & 500 & 0.9 & 10.0 & 0.14 & 2.29 ( 0.15 ) & 23.7 ( 0.43 ) & 1.18 ( 0.11 ) & 2.29 & 23.70 & 1.18 \\\\\n", + "\t13 & 50 & 1000 & 0.1 & 20.0 & 0.01 & 0.39 ( 0.02 ) & 13.99 ( 0.32 ) & 5.31 ( 0.07 ) & 0.39 & 13.90 & 5.31 \\\\\n", + "\t29 & 50 & 1000 & 0.3 & 20.0 & 0.06 & 1.51 ( 0.08 ) & 24.06 ( 0.36 ) & 3.21 ( 0.11 ) & 1.51 & 24.00 & 3.21 \\\\\n", + "\t45 & 50 & 1000 & 0.5 & 20.0 & 0.09 & 1.84 ( 0.1 ) & 24.67 ( 0.36 ) & 2.56 ( 0.11 ) & 1.84 & 24.60 & 2.56 \\\\\n", + "\t61 & 50 & 1000 & 0.7 & 20.0 & 0.10 & 2.51 ( 0.13 ) & 25.24 ( 0.32 ) & 2.11 ( 0.12 ) & 2.51 & 25.20 & 2.11 \\\\\n", + "\t77 & 50 & 1000 & 0.9 & 20.0 & 0.11 & 2.46 ( 0.16 ) & 25.37 ( 0.35 ) & 1.73 ( 0.12 ) & 2.46 & 25.30 & 1.73 \\\\\n", + "\t2 & 100 & 50 & 0.1 & 0.5 & 0.18 & 0.31 ( 0.01 ) & 2.71 ( 0.25 ) & 4.4 ( 0.1 ) & 0.31 & 2.71 & 4.40 \\\\\n", + "\t18 & 100 & 50 & 0.3 & 0.5 & 0.39 & 0.4 ( 0.01 ) & 7.91 ( 0.47 ) & 0.01 ( 0.01 ) & 0.40 & 7.91 & 0.01 \\\\\n", + "\t34 & 100 & 50 & 0.5 & 0.5 & 0.41 & 0.36 ( 0.01 ) & 7.39 ( 0.39 ) & 0 ( 0 ) & 0.36 & 7.39 & 0.00 \\\\\n", + "\t50 & 100 & 50 & 0.7 & 0.5 & 0.45 & 0.37 ( 0.01 ) & 6.73 ( 0.39 ) & 0 ( 0 ) & 0.37 & 6.73 & 0.00 \\\\\n", + "\t66 & 100 & 50 & 0.9 & 0.5 & 0.44 & 0.37 ( 0.01 ) & 6.82 ( 0.39 ) & 0 ( 0 ) & 0.37 & 6.82 & 0.00 \\\\\n", + "\t6 & 100 & 100 & 0.1 & 1.0 & 0.13 & 0.34 ( 0.01 ) & 3 ( 0.15 ) & 4.75 ( 0.09 ) & 0.34 & 3.00 & 4.75 \\\\\n", + "\t22 & 100 & 100 & 0.3 & 1.0 & 0.34 & 0.44 ( 0.01 ) & 10.58 ( 0.62 ) & 0.09 ( 0.03 ) & 0.44 & 10.50 & 0.09 \\\\\n", + "\t38 & 100 & 100 & 0.5 & 1.0 & 0.37 & 0.42 ( 0.02 ) & 9.57 ( 0.58 ) & 0 ( 0 ) & 0.42 & 9.57 & 0.00 \\\\\n", + "\t54 & 100 & 100 & 0.7 & 1.0 & 0.37 & 0.41 ( 0.02 ) & 9.7 ( 0.63 ) & 0 ( 0 ) & 0.41 & 9.70 & 0.00 \\\\\n", + "\t70 & 100 & 100 & 0.9 & 1.0 & 0.40 & 0.38 ( 0.01 ) & 8.72 ( 0.53 ) & 0 ( 0 ) & 0.38 & 8.72 & 0.00 \\\\\n", + "\t... & ... & ... & ... & ... & ... & ... & ... & ... & ... & ... & ...\\\\\n", + "\t11 & 500 & 500 & 0.1 & 1.00 & 0.33 & 0.32 ( 0.01 ) & 3.77 ( 0.75 ) & 3.69 ( 0.08 ) & 0.32 & 3.77 & 3.69 \\\\\n", + "\t27 & 500 & 500 & 0.3 & 1.00 & 0.47 & 0.29 ( 0 ) & 7.7 ( 0.54 ) & 0 ( 0 ) & 0.29 & 7.70 & 0.00 \\\\\n", + "\t43 & 500 & 500 & 0.5 & 1.00 & 0.46 & 0.3 ( 0 ) & 7.82 ( 0.64 ) & 0 ( 0 ) & 0.30 & 7.82 & 0.00 \\\\\n", + "\t59 & 500 & 500 & 0.7 & 1.00 & 0.51 & 0.29 ( 0 ) & 6.69 ( 0.45 ) & 0 ( 0 ) & 0.29 & 6.69 & 0.00 \\\\\n", + "\t75 & 500 & 500 & 0.9 & 1.00 & 0.50 & 0.29 ( 0 ) & 6.87 ( 0.54 ) & 0 ( 0 ) & 0.29 & 6.87 & 0.00 \\\\\n", + "\t15 & 500 & 1000 & 0.1 & 2.00 & 0.48 & 0.33 ( 0 ) & 1.83 ( 0.19 ) & 3.97 ( 0.07 ) & 0.33 & 1.83 & 3.97 \\\\\n", + "\t31 & 500 & 1000 & 0.3 & 2.00 & 0.35 & 0.29 ( 0 ) & 11.72 ( 0.9 ) & 0 ( 0 ) & 0.29 & 11.70 & 0.00 \\\\\n", + "\t47 & 500 & 1000 & 0.5 & 2.00 & 0.45 & 0.29 ( 0 ) & 8.22 ( 0.73 ) & 0 ( 0 ) & 0.29 & 8.22 & 0.00 \\\\\n", + "\t63 & 500 & 1000 & 0.7 & 2.00 & 0.47 & 0.3 ( 0 ) & 7.81 ( 0.61 ) & 0 ( 0 ) & 0.30 & 7.81 & 0.00 \\\\\n", + "\t79 & 500 & 1000 & 0.9 & 2.00 & 0.46 & 0.3 ( 0 ) & 7.99 ( 0.79 ) & 0 ( 0 ) & 0.30 & 7.99 & 0.00 \\\\\n", + "\t4 & 1000 & 50 & 0.1 & 0.05 & 0.44 & 0.28 ( 0 ) & 4.91 ( 0.2 ) & 1.57 ( 0.09 ) & 0.28 & 4.91 & 1.57 \\\\\n", + "\t20 & 1000 & 50 & 0.3 & 0.05 & 0.78 & 0.27 ( 0 ) & 2.45 ( 0.14 ) & 0 ( 0 ) & 0.27 & 2.45 & 0.00 \\\\\n", + "\t36 & 1000 & 50 & 0.5 & 0.05 & 0.82 & 0.27 ( 0 ) & 2.11 ( 0.13 ) & 0 ( 0 ) & 0.27 & 2.11 & 0.00 \\\\\n", + "\t52 & 1000 & 50 & 0.7 & 0.05 & 0.85 & 0.27 ( 0 ) & 1.89 ( 0.12 ) & 0 ( 0 ) & 0.27 & 1.89 & 0.00 \\\\\n", + "\t68 & 1000 & 50 & 0.9 & 0.05 & 0.87 & 0.27 ( 0 ) & 1.76 ( 0.11 ) & 0 ( 0 ) & 0.27 & 1.76 & 0.00 \\\\\n", + "\t8 & 1000 & 100 & 0.1 & 0.10 & 0.33 & 0.29 ( 0 ) & 7.77 ( 0.33 ) & 1.44 ( 0.08 ) & 0.29 & 7.77 & 1.44 \\\\\n", + "\t24 & 1000 & 100 & 0.3 & 0.10 & 0.69 & 0.27 ( 0 ) & 3.46 ( 0.29 ) & 0 ( 0 ) & 0.27 & 3.46 & 0.00 \\\\\n", + "\t40 & 1000 & 100 & 0.5 & 0.10 & 0.78 & 0.27 ( 0 ) & 2.58 ( 0.16 ) & 0 ( 0 ) & 0.27 & 2.58 & 0.00 \\\\\n", + "\t56 & 1000 & 100 & 0.7 & 0.10 & 0.76 & 0.27 ( 0 ) & 2.71 ( 0.23 ) & 0 ( 0 ) & 0.27 & 2.71 & 0.00 \\\\\n", + "\t72 & 1000 & 100 & 0.9 & 0.10 & 0.76 & 0.27 ( 0 ) & 2.72 ( 0.23 ) & 0 ( 0 ) & 0.27 & 2.72 & 0.00 \\\\\n", + "\t12 & 1000 & 500 & 0.1 & 0.50 & 0.14 & 0.29 ( 0 ) & 20.61 ( 1.39 ) & 2.11 ( 0.1 ) & 0.29 & 20.60 & 2.11 \\\\\n", + "\t28 & 1000 & 500 & 0.3 & 0.50 & 0.53 & 0.27 ( 0 ) & 6.14 ( 0.57 ) & 0 ( 0 ) & 0.27 & 6.14 & 0.00 \\\\\n", + "\t44 & 1000 & 500 & 0.5 & 0.50 & 0.65 & 0.28 ( 0 ) & 4.16 ( 0.33 ) & 0 ( 0 ) & 0.28 & 4.16 & 0.00 \\\\\n", + "\t60 & 1000 & 500 & 0.7 & 0.50 & 0.62 & 0.28 ( 0 ) & 4.65 ( 0.37 ) & 0 ( 0 ) & 0.28 & 4.65 & 0.00 \\\\\n", + "\t76 & 1000 & 500 & 0.9 & 0.50 & 0.71 & 0.27 ( 0 ) & 3.37 ( 0.27 ) & 0 ( 0 ) & 0.27 & 3.37 & 0.00 \\\\\n", + "\t16 & 1000 & 1000 & 0.1 & 1.00 & 0.17 & 0.3 ( 0 ) & 13.42 ( 1.74 ) & 2.77 ( 0.09 ) & 0.30 & 13.40 & 2.77 \\\\\n", + "\t32 & 1000 & 1000 & 0.3 & 1.00 & 0.51 & 0.27 ( 0 ) & 6.69 ( 0.52 ) & 0 ( 0 ) & 0.27 & 6.69 & 0.00 \\\\\n", + "\t48 & 1000 & 1000 & 0.5 & 1.00 & 0.53 & 0.27 ( 0 ) & 6.36 ( 0.51 ) & 0 ( 0 ) & 0.27 & 6.36 & 0.00 \\\\\n", + "\t64 & 1000 & 1000 & 0.7 & 1.00 & 0.65 & 0.28 ( 0 ) & 4.14 ( 0.35 ) & 0 ( 0 ) & 0.28 & 4.14 & 0.00 \\\\\n", + "\t80 & 1000 & 1000 & 0.9 & 1.00 & 0.60 & 0.28 ( 0 ) & 4.93 ( 0.43 ) & 0 ( 0 ) & 0.28 & 4.93 & 0.00 \\\\\n", + "\\end{tabular}\n" + ], + "text/markdown": [ + "\n", + "| | N | P | Corr | Ratio | Stab | MSE | FP | FN | MSE_mean | FP_mean | FN_mean |\n", + "|---|---|---|---|---|---|---|---|---|---|---|---|\n", + "| 1 | 50 | 50 | 0.1 | 1.0 | 0.05 | 0.36 ( 0.01 ) | 3.52 ( 0.22 ) | 4.92 ( 0.08 ) | 0.36 | 3.52 | 4.92 |\n", + "| 17 | 50 | 50 | 0.3 | 1.0 | 0.27 | 0.72 ( 0.04 ) | 8.7 ( 0.42 ) | 0.79 ( 0.09 ) | 0.72 | 8.70 | 0.79 |\n", + "| 33 | 50 | 50 | 0.5 | 1.0 | 0.33 | 0.64 ( 0.03 ) | 9.36 ( 0.45 ) | 0.12 ( 0.04 ) | 0.64 | 9.36 | 0.12 |\n", + "| 49 | 50 | 50 | 0.7 | 1.0 | 0.36 | 0.57 ( 0.04 ) | 8.63 ( 0.41 ) | 0.06 ( 0.02 ) | 0.57 | 8.63 | 0.06 |\n", + "| 65 | 50 | 50 | 0.9 | 1.0 | 0.32 | 0.61 ( 0.05 ) | 9.61 ( 0.49 ) | 0.07 ( 0.03 ) | 0.61 | 9.61 | 0.07 |\n", + "| 5 | 50 | 100 | 0.1 | 2.0 | 0.06 | 0.37 ( 0.02 ) | 4.73 ( 0.22 ) | 4.79 ( 0.08 ) | 0.37 | 4.73 | 4.79 |\n", + "| 21 | 50 | 100 | 0.3 | 2.0 | 0.21 | 0.82 ( 0.05 ) | 12.31 ( 0.43 ) | 1.14 ( 0.1 ) | 0.82 | 12.30 | 1.14 |\n", + "| 37 | 50 | 100 | 0.5 | 2.0 | 0.28 | 0.78 ( 0.05 ) | 12.05 ( 0.47 ) | 0.38 ( 0.07 ) | 0.78 | 12.00 | 0.38 |\n", + "| 53 | 50 | 100 | 0.7 | 2.0 | 0.30 | 0.82 ( 0.05 ) | 11.87 ( 0.44 ) | 0.17 ( 0.05 ) | 0.82 | 11.80 | 0.17 |\n", + "| 69 | 50 | 100 | 0.9 | 2.0 | 0.29 | 0.87 ( 0.05 ) | 12.12 ( 0.37 ) | 0.17 ( 0.05 ) | 0.87 | 12.10 | 0.17 |\n", + "| 9 | 50 | 500 | 0.1 | 10.0 | 0.01 | 0.37 ( 0.02 ) | 10.58 ( 0.31 ) | 5.25 ( 0.07 ) | 0.37 | 10.50 | 5.25 |\n", + "| 25 | 50 | 500 | 0.3 | 10.0 | 0.09 | 1.25 ( 0.07 ) | 20.71 ( 0.36 ) | 2.63 ( 0.11 ) | 1.25 | 20.70 | 2.63 |\n", + "| 41 | 50 | 500 | 0.5 | 10.0 | 0.12 | 1.64 ( 0.1 ) | 21.8 ( 0.36 ) | 1.82 ( 0.11 ) | 1.64 | 21.80 | 1.82 |\n", + "| 57 | 50 | 500 | 0.7 | 10.0 | 0.15 | 2.03 ( 0.14 ) | 21.53 ( 0.36 ) | 1.18 ( 0.11 ) | 2.03 | 21.50 | 1.18 |\n", + "| 73 | 50 | 500 | 0.9 | 10.0 | 0.14 | 2.29 ( 0.15 ) | 23.7 ( 0.43 ) | 1.18 ( 0.11 ) | 2.29 | 23.70 | 1.18 |\n", + "| 13 | 50 | 1000 | 0.1 | 20.0 | 0.01 | 0.39 ( 0.02 ) | 13.99 ( 0.32 ) | 5.31 ( 0.07 ) | 0.39 | 13.90 | 5.31 |\n", + "| 29 | 50 | 1000 | 0.3 | 20.0 | 0.06 | 1.51 ( 0.08 ) | 24.06 ( 0.36 ) | 3.21 ( 0.11 ) | 1.51 | 24.00 | 3.21 |\n", + "| 45 | 50 | 1000 | 0.5 | 20.0 | 0.09 | 1.84 ( 0.1 ) | 24.67 ( 0.36 ) | 2.56 ( 0.11 ) | 1.84 | 24.60 | 2.56 |\n", + "| 61 | 50 | 1000 | 0.7 | 20.0 | 0.10 | 2.51 ( 0.13 ) | 25.24 ( 0.32 ) | 2.11 ( 0.12 ) | 2.51 | 25.20 | 2.11 |\n", + "| 77 | 50 | 1000 | 0.9 | 20.0 | 0.11 | 2.46 ( 0.16 ) | 25.37 ( 0.35 ) | 1.73 ( 0.12 ) | 2.46 | 25.30 | 1.73 |\n", + "| 2 | 100 | 50 | 0.1 | 0.5 | 0.18 | 0.31 ( 0.01 ) | 2.71 ( 0.25 ) | 4.4 ( 0.1 ) | 0.31 | 2.71 | 4.40 |\n", + "| 18 | 100 | 50 | 0.3 | 0.5 | 0.39 | 0.4 ( 0.01 ) | 7.91 ( 0.47 ) | 0.01 ( 0.01 ) | 0.40 | 7.91 | 0.01 |\n", + "| 34 | 100 | 50 | 0.5 | 0.5 | 0.41 | 0.36 ( 0.01 ) | 7.39 ( 0.39 ) | 0 ( 0 ) | 0.36 | 7.39 | 0.00 |\n", + "| 50 | 100 | 50 | 0.7 | 0.5 | 0.45 | 0.37 ( 0.01 ) | 6.73 ( 0.39 ) | 0 ( 0 ) | 0.37 | 6.73 | 0.00 |\n", + "| 66 | 100 | 50 | 0.9 | 0.5 | 0.44 | 0.37 ( 0.01 ) | 6.82 ( 0.39 ) | 0 ( 0 ) | 0.37 | 6.82 | 0.00 |\n", + "| 6 | 100 | 100 | 0.1 | 1.0 | 0.13 | 0.34 ( 0.01 ) | 3 ( 0.15 ) | 4.75 ( 0.09 ) | 0.34 | 3.00 | 4.75 |\n", + "| 22 | 100 | 100 | 0.3 | 1.0 | 0.34 | 0.44 ( 0.01 ) | 10.58 ( 0.62 ) | 0.09 ( 0.03 ) | 0.44 | 10.50 | 0.09 |\n", + "| 38 | 100 | 100 | 0.5 | 1.0 | 0.37 | 0.42 ( 0.02 ) | 9.57 ( 0.58 ) | 0 ( 0 ) | 0.42 | 9.57 | 0.00 |\n", + "| 54 | 100 | 100 | 0.7 | 1.0 | 0.37 | 0.41 ( 0.02 ) | 9.7 ( 0.63 ) | 0 ( 0 ) | 0.41 | 9.70 | 0.00 |\n", + "| 70 | 100 | 100 | 0.9 | 1.0 | 0.40 | 0.38 ( 0.01 ) | 8.72 ( 0.53 ) | 0 ( 0 ) | 0.38 | 8.72 | 0.00 |\n", + "| ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... |\n", + "| 11 | 500 | 500 | 0.1 | 1.00 | 0.33 | 0.32 ( 0.01 ) | 3.77 ( 0.75 ) | 3.69 ( 0.08 ) | 0.32 | 3.77 | 3.69 |\n", + "| 27 | 500 | 500 | 0.3 | 1.00 | 0.47 | 0.29 ( 0 ) | 7.7 ( 0.54 ) | 0 ( 0 ) | 0.29 | 7.70 | 0.00 |\n", + "| 43 | 500 | 500 | 0.5 | 1.00 | 0.46 | 0.3 ( 0 ) | 7.82 ( 0.64 ) | 0 ( 0 ) | 0.30 | 7.82 | 0.00 |\n", + "| 59 | 500 | 500 | 0.7 | 1.00 | 0.51 | 0.29 ( 0 ) | 6.69 ( 0.45 ) | 0 ( 0 ) | 0.29 | 6.69 | 0.00 |\n", + "| 75 | 500 | 500 | 0.9 | 1.00 | 0.50 | 0.29 ( 0 ) | 6.87 ( 0.54 ) | 0 ( 0 ) | 0.29 | 6.87 | 0.00 |\n", + "| 15 | 500 | 1000 | 0.1 | 2.00 | 0.48 | 0.33 ( 0 ) | 1.83 ( 0.19 ) | 3.97 ( 0.07 ) | 0.33 | 1.83 | 3.97 |\n", + "| 31 | 500 | 1000 | 0.3 | 2.00 | 0.35 | 0.29 ( 0 ) | 11.72 ( 0.9 ) | 0 ( 0 ) | 0.29 | 11.70 | 0.00 |\n", + "| 47 | 500 | 1000 | 0.5 | 2.00 | 0.45 | 0.29 ( 0 ) | 8.22 ( 0.73 ) | 0 ( 0 ) | 0.29 | 8.22 | 0.00 |\n", + "| 63 | 500 | 1000 | 0.7 | 2.00 | 0.47 | 0.3 ( 0 ) | 7.81 ( 0.61 ) | 0 ( 0 ) | 0.30 | 7.81 | 0.00 |\n", + "| 79 | 500 | 1000 | 0.9 | 2.00 | 0.46 | 0.3 ( 0 ) | 7.99 ( 0.79 ) | 0 ( 0 ) | 0.30 | 7.99 | 0.00 |\n", + "| 4 | 1000 | 50 | 0.1 | 0.05 | 0.44 | 0.28 ( 0 ) | 4.91 ( 0.2 ) | 1.57 ( 0.09 ) | 0.28 | 4.91 | 1.57 |\n", + "| 20 | 1000 | 50 | 0.3 | 0.05 | 0.78 | 0.27 ( 0 ) | 2.45 ( 0.14 ) | 0 ( 0 ) | 0.27 | 2.45 | 0.00 |\n", + "| 36 | 1000 | 50 | 0.5 | 0.05 | 0.82 | 0.27 ( 0 ) | 2.11 ( 0.13 ) | 0 ( 0 ) | 0.27 | 2.11 | 0.00 |\n", + "| 52 | 1000 | 50 | 0.7 | 0.05 | 0.85 | 0.27 ( 0 ) | 1.89 ( 0.12 ) | 0 ( 0 ) | 0.27 | 1.89 | 0.00 |\n", + "| 68 | 1000 | 50 | 0.9 | 0.05 | 0.87 | 0.27 ( 0 ) | 1.76 ( 0.11 ) | 0 ( 0 ) | 0.27 | 1.76 | 0.00 |\n", + "| 8 | 1000 | 100 | 0.1 | 0.10 | 0.33 | 0.29 ( 0 ) | 7.77 ( 0.33 ) | 1.44 ( 0.08 ) | 0.29 | 7.77 | 1.44 |\n", + "| 24 | 1000 | 100 | 0.3 | 0.10 | 0.69 | 0.27 ( 0 ) | 3.46 ( 0.29 ) | 0 ( 0 ) | 0.27 | 3.46 | 0.00 |\n", + "| 40 | 1000 | 100 | 0.5 | 0.10 | 0.78 | 0.27 ( 0 ) | 2.58 ( 0.16 ) | 0 ( 0 ) | 0.27 | 2.58 | 0.00 |\n", + "| 56 | 1000 | 100 | 0.7 | 0.10 | 0.76 | 0.27 ( 0 ) | 2.71 ( 0.23 ) | 0 ( 0 ) | 0.27 | 2.71 | 0.00 |\n", + "| 72 | 1000 | 100 | 0.9 | 0.10 | 0.76 | 0.27 ( 0 ) | 2.72 ( 0.23 ) | 0 ( 0 ) | 0.27 | 2.72 | 0.00 |\n", + "| 12 | 1000 | 500 | 0.1 | 0.50 | 0.14 | 0.29 ( 0 ) | 20.61 ( 1.39 ) | 2.11 ( 0.1 ) | 0.29 | 20.60 | 2.11 |\n", + "| 28 | 1000 | 500 | 0.3 | 0.50 | 0.53 | 0.27 ( 0 ) | 6.14 ( 0.57 ) | 0 ( 0 ) | 0.27 | 6.14 | 0.00 |\n", + "| 44 | 1000 | 500 | 0.5 | 0.50 | 0.65 | 0.28 ( 0 ) | 4.16 ( 0.33 ) | 0 ( 0 ) | 0.28 | 4.16 | 0.00 |\n", + "| 60 | 1000 | 500 | 0.7 | 0.50 | 0.62 | 0.28 ( 0 ) | 4.65 ( 0.37 ) | 0 ( 0 ) | 0.28 | 4.65 | 0.00 |\n", + "| 76 | 1000 | 500 | 0.9 | 0.50 | 0.71 | 0.27 ( 0 ) | 3.37 ( 0.27 ) | 0 ( 0 ) | 0.27 | 3.37 | 0.00 |\n", + "| 16 | 1000 | 1000 | 0.1 | 1.00 | 0.17 | 0.3 ( 0 ) | 13.42 ( 1.74 ) | 2.77 ( 0.09 ) | 0.30 | 13.40 | 2.77 |\n", + "| 32 | 1000 | 1000 | 0.3 | 1.00 | 0.51 | 0.27 ( 0 ) | 6.69 ( 0.52 ) | 0 ( 0 ) | 0.27 | 6.69 | 0.00 |\n", + "| 48 | 1000 | 1000 | 0.5 | 1.00 | 0.53 | 0.27 ( 0 ) | 6.36 ( 0.51 ) | 0 ( 0 ) | 0.27 | 6.36 | 0.00 |\n", + "| 64 | 1000 | 1000 | 0.7 | 1.00 | 0.65 | 0.28 ( 0 ) | 4.14 ( 0.35 ) | 0 ( 0 ) | 0.28 | 4.14 | 0.00 |\n", + "| 80 | 1000 | 1000 | 0.9 | 1.00 | 0.60 | 0.28 ( 0 ) | 4.93 ( 0.43 ) | 0 ( 0 ) | 0.28 | 4.93 | 0.00 |\n", + "\n" + ], + "text/plain": [ + " N P Corr Ratio Stab MSE FP FN \n", + "1 50 50 0.1 1.0 0.05 0.36 ( 0.01 ) 3.52 ( 0.22 ) 4.92 ( 0.08 )\n", + "17 50 50 0.3 1.0 0.27 0.72 ( 0.04 ) 8.7 ( 0.42 ) 0.79 ( 0.09 )\n", + "33 50 50 0.5 1.0 0.33 0.64 ( 0.03 ) 9.36 ( 0.45 ) 0.12 ( 0.04 )\n", + "49 50 50 0.7 1.0 0.36 0.57 ( 0.04 ) 8.63 ( 0.41 ) 0.06 ( 0.02 )\n", + "65 50 50 0.9 1.0 0.32 0.61 ( 0.05 ) 9.61 ( 0.49 ) 0.07 ( 0.03 )\n", + "5 50 100 0.1 2.0 0.06 0.37 ( 0.02 ) 4.73 ( 0.22 ) 4.79 ( 0.08 )\n", + "21 50 100 0.3 2.0 0.21 0.82 ( 0.05 ) 12.31 ( 0.43 ) 1.14 ( 0.1 ) \n", + "37 50 100 0.5 2.0 0.28 0.78 ( 0.05 ) 12.05 ( 0.47 ) 0.38 ( 0.07 )\n", + "53 50 100 0.7 2.0 0.30 0.82 ( 0.05 ) 11.87 ( 0.44 ) 0.17 ( 0.05 )\n", + "69 50 100 0.9 2.0 0.29 0.87 ( 0.05 ) 12.12 ( 0.37 ) 0.17 ( 0.05 )\n", + "9 50 500 0.1 10.0 0.01 0.37 ( 0.02 ) 10.58 ( 0.31 ) 5.25 ( 0.07 )\n", + "25 50 500 0.3 10.0 0.09 1.25 ( 0.07 ) 20.71 ( 0.36 ) 2.63 ( 0.11 )\n", + "41 50 500 0.5 10.0 0.12 1.64 ( 0.1 ) 21.8 ( 0.36 ) 1.82 ( 0.11 )\n", + "57 50 500 0.7 10.0 0.15 2.03 ( 0.14 ) 21.53 ( 0.36 ) 1.18 ( 0.11 )\n", + "73 50 500 0.9 10.0 0.14 2.29 ( 0.15 ) 23.7 ( 0.43 ) 1.18 ( 0.11 )\n", + "13 50 1000 0.1 20.0 0.01 0.39 ( 0.02 ) 13.99 ( 0.32 ) 5.31 ( 0.07 )\n", + "29 50 1000 0.3 20.0 0.06 1.51 ( 0.08 ) 24.06 ( 0.36 ) 3.21 ( 0.11 )\n", + "45 50 1000 0.5 20.0 0.09 1.84 ( 0.1 ) 24.67 ( 0.36 ) 2.56 ( 0.11 )\n", + "61 50 1000 0.7 20.0 0.10 2.51 ( 0.13 ) 25.24 ( 0.32 ) 2.11 ( 0.12 )\n", + "77 50 1000 0.9 20.0 0.11 2.46 ( 0.16 ) 25.37 ( 0.35 ) 1.73 ( 0.12 )\n", + "2 100 50 0.1 0.5 0.18 0.31 ( 0.01 ) 2.71 ( 0.25 ) 4.4 ( 0.1 ) \n", + "18 100 50 0.3 0.5 0.39 0.4 ( 0.01 ) 7.91 ( 0.47 ) 0.01 ( 0.01 )\n", + "34 100 50 0.5 0.5 0.41 0.36 ( 0.01 ) 7.39 ( 0.39 ) 0 ( 0 ) \n", + "50 100 50 0.7 0.5 0.45 0.37 ( 0.01 ) 6.73 ( 0.39 ) 0 ( 0 ) \n", + "66 100 50 0.9 0.5 0.44 0.37 ( 0.01 ) 6.82 ( 0.39 ) 0 ( 0 ) \n", + "6 100 100 0.1 1.0 0.13 0.34 ( 0.01 ) 3 ( 0.15 ) 4.75 ( 0.09 )\n", + "22 100 100 0.3 1.0 0.34 0.44 ( 0.01 ) 10.58 ( 0.62 ) 0.09 ( 0.03 )\n", + "38 100 100 0.5 1.0 0.37 0.42 ( 0.02 ) 9.57 ( 0.58 ) 0 ( 0 ) \n", + "54 100 100 0.7 1.0 0.37 0.41 ( 0.02 ) 9.7 ( 0.63 ) 0 ( 0 ) \n", + "70 100 100 0.9 1.0 0.40 0.38 ( 0.01 ) 8.72 ( 0.53 ) 0 ( 0 ) \n", + "... ... ... ... ... ... ... ... ... \n", + "11 500 500 0.1 1.00 0.33 0.32 ( 0.01 ) 3.77 ( 0.75 ) 3.69 ( 0.08 )\n", + "27 500 500 0.3 1.00 0.47 0.29 ( 0 ) 7.7 ( 0.54 ) 0 ( 0 ) \n", + "43 500 500 0.5 1.00 0.46 0.3 ( 0 ) 7.82 ( 0.64 ) 0 ( 0 ) \n", + "59 500 500 0.7 1.00 0.51 0.29 ( 0 ) 6.69 ( 0.45 ) 0 ( 0 ) \n", + "75 500 500 0.9 1.00 0.50 0.29 ( 0 ) 6.87 ( 0.54 ) 0 ( 0 ) \n", + "15 500 1000 0.1 2.00 0.48 0.33 ( 0 ) 1.83 ( 0.19 ) 3.97 ( 0.07 )\n", + "31 500 1000 0.3 2.00 0.35 0.29 ( 0 ) 11.72 ( 0.9 ) 0 ( 0 ) \n", + "47 500 1000 0.5 2.00 0.45 0.29 ( 0 ) 8.22 ( 0.73 ) 0 ( 0 ) \n", + "63 500 1000 0.7 2.00 0.47 0.3 ( 0 ) 7.81 ( 0.61 ) 0 ( 0 ) \n", + "79 500 1000 0.9 2.00 0.46 0.3 ( 0 ) 7.99 ( 0.79 ) 0 ( 0 ) \n", + "4 1000 50 0.1 0.05 0.44 0.28 ( 0 ) 4.91 ( 0.2 ) 1.57 ( 0.09 )\n", + "20 1000 50 0.3 0.05 0.78 0.27 ( 0 ) 2.45 ( 0.14 ) 0 ( 0 ) \n", + "36 1000 50 0.5 0.05 0.82 0.27 ( 0 ) 2.11 ( 0.13 ) 0 ( 0 ) \n", + "52 1000 50 0.7 0.05 0.85 0.27 ( 0 ) 1.89 ( 0.12 ) 0 ( 0 ) \n", + "68 1000 50 0.9 0.05 0.87 0.27 ( 0 ) 1.76 ( 0.11 ) 0 ( 0 ) \n", + "8 1000 100 0.1 0.10 0.33 0.29 ( 0 ) 7.77 ( 0.33 ) 1.44 ( 0.08 )\n", + "24 1000 100 0.3 0.10 0.69 0.27 ( 0 ) 3.46 ( 0.29 ) 0 ( 0 ) \n", + "40 1000 100 0.5 0.10 0.78 0.27 ( 0 ) 2.58 ( 0.16 ) 0 ( 0 ) \n", + "56 1000 100 0.7 0.10 0.76 0.27 ( 0 ) 2.71 ( 0.23 ) 0 ( 0 ) \n", + "72 1000 100 0.9 0.10 0.76 0.27 ( 0 ) 2.72 ( 0.23 ) 0 ( 0 ) \n", + "12 1000 500 0.1 0.50 0.14 0.29 ( 0 ) 20.61 ( 1.39 ) 2.11 ( 0.1 ) \n", + "28 1000 500 0.3 0.50 0.53 0.27 ( 0 ) 6.14 ( 0.57 ) 0 ( 0 ) \n", + "44 1000 500 0.5 0.50 0.65 0.28 ( 0 ) 4.16 ( 0.33 ) 0 ( 0 ) \n", + "60 1000 500 0.7 0.50 0.62 0.28 ( 0 ) 4.65 ( 0.37 ) 0 ( 0 ) \n", + "76 1000 500 0.9 0.50 0.71 0.27 ( 0 ) 3.37 ( 0.27 ) 0 ( 0 ) \n", + "16 1000 1000 0.1 1.00 0.17 0.3 ( 0 ) 13.42 ( 1.74 ) 2.77 ( 0.09 )\n", + "32 1000 1000 0.3 1.00 0.51 0.27 ( 0 ) 6.69 ( 0.52 ) 0 ( 0 ) \n", + "48 1000 1000 0.5 1.00 0.53 0.27 ( 0 ) 6.36 ( 0.51 ) 0 ( 0 ) \n", + "64 1000 1000 0.7 1.00 0.65 0.28 ( 0 ) 4.14 ( 0.35 ) 0 ( 0 ) \n", + "80 1000 1000 0.9 1.00 0.60 0.28 ( 0 ) 4.93 ( 0.43 ) 0 ( 0 ) \n", + " MSE_mean FP_mean FN_mean\n", + "1 0.36 3.52 4.92 \n", + "17 0.72 8.70 0.79 \n", + "33 0.64 9.36 0.12 \n", + "49 0.57 8.63 0.06 \n", + "65 0.61 9.61 0.07 \n", + "5 0.37 4.73 4.79 \n", + "21 0.82 12.30 1.14 \n", + "37 0.78 12.00 0.38 \n", + "53 0.82 11.80 0.17 \n", + "69 0.87 12.10 0.17 \n", + "9 0.37 10.50 5.25 \n", + "25 1.25 20.70 2.63 \n", + "41 1.64 21.80 1.82 \n", + "57 2.03 21.50 1.18 \n", + "73 2.29 23.70 1.18 \n", + "13 0.39 13.90 5.31 \n", + "29 1.51 24.00 3.21 \n", + "45 1.84 24.60 2.56 \n", + "61 2.51 25.20 2.11 \n", + "77 2.46 25.30 1.73 \n", + "2 0.31 2.71 4.40 \n", + "18 0.40 7.91 0.01 \n", + "34 0.36 7.39 0.00 \n", + "50 0.37 6.73 0.00 \n", + "66 0.37 6.82 0.00 \n", + "6 0.34 3.00 4.75 \n", + "22 0.44 10.50 0.09 \n", + "38 0.42 9.57 0.00 \n", + "54 0.41 9.70 0.00 \n", + "70 0.38 8.72 0.00 \n", + "... ... ... ... \n", + "11 0.32 3.77 3.69 \n", + "27 0.29 7.70 0.00 \n", + "43 0.30 7.82 0.00 \n", + "59 0.29 6.69 0.00 \n", + "75 0.29 6.87 0.00 \n", + "15 0.33 1.83 3.97 \n", + "31 0.29 11.70 0.00 \n", + "47 0.29 8.22 0.00 \n", + "63 0.30 7.81 0.00 \n", + "79 0.30 7.99 0.00 \n", + "4 0.28 4.91 1.57 \n", + "20 0.27 2.45 0.00 \n", + "36 0.27 2.11 0.00 \n", + "52 0.27 1.89 0.00 \n", + "68 0.27 1.76 0.00 \n", + "8 0.29 7.77 1.44 \n", + "24 0.27 3.46 0.00 \n", + "40 0.27 2.58 0.00 \n", + "56 0.27 2.71 0.00 \n", + "72 0.27 2.72 0.00 \n", + "12 0.29 20.60 2.11 \n", + "28 0.27 6.14 0.00 \n", + "44 0.28 4.16 0.00 \n", + "60 0.28 4.65 0.00 \n", + "76 0.27 3.37 0.00 \n", + "16 0.30 13.40 2.77 \n", + "32 0.27 6.69 0.00 \n", + "48 0.27 6.36 0.00 \n", + "64 0.28 4.14 0.00 \n", + "80 0.28 4.93 0.00 " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "result.table_block[with(result.table_block, order(N, P, Corr)),]" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "R", + "language": "R", + "name": "ir" + }, + "language_info": { + "codemirror_mode": "r", + "file_extension": ".r", + "mimetype": "text/x-r-source", + "name": "R", + "pygments_lexer": "r", + "version": "3.6.1" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/simulations/notebooks_simulations/sim_block_rf.ipynb b/simulations/notebooks_simulations/sim_block_rf.ipynb new file mode 100644 index 0000000..e3cb7db --- /dev/null +++ b/simulations/notebooks_simulations/sim_block_rf.ipynb @@ -0,0 +1,1118 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "load('../sim_data/block_RF.RData')" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "dir = '../sim_data'\n", + "dim.list = list()\n", + "size = c(50, 100, 500, 1000)\n", + "idx = 0\n", + "for (P in size){\n", + " for (N in size){\n", + " idx = idx + 1\n", + " dim.list[[idx]] = c(P=P, N=N)\n", + " }\n", + "}\n", + "\n", + "rou.list = seq(0.1, 0.9, 0.2)\n", + "\n", + "files = NULL\n", + "for (rou in rou.list){\n", + " for (dim in dim.list){\n", + " p = dim[1]\n", + " n = dim[2]\n", + " files = cbind(files, paste0(dir, '/sim_block_corr', rou, paste('P', p, 'N', n, sep='_'), '.RData', sep=''))\n", + " }\n", + "}" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "avg_FDR = NULL\n", + "for (i in 1:length(files)){\n", + " sim_file = files[i]\n", + " load(sim_file, dat <- new.env())\n", + " sub = dat$sim_array[[i]]\n", + " p = sub$p # take true values from 1st replicate of each simulated data\n", + " coef = sub$beta\n", + " coef.true = which(coef != 0)\n", + " \n", + " tt = results_block_rf[[i]]$Stab.table\n", + " \n", + " FDR = NULL\n", + " for (r in 1:nrow(tt)){\n", + " FDR = c(FDR, length(setdiff(which(tt[r, ] !=0), coef.true))/sum(tt[r, ]))\n", + "\n", + " }\n", + " \n", + " avg_FDR = c(avg_FDR, mean(FDR, na.rm=T))\n", + "}" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "table_block = NULL\n", + "tmp_num_select = rep(0, length(results_block_rf))\n", + "for (i in 1:length(results_block_rf)){\n", + " results_block_rf[[i]]$OOB = paste(round(mean(results_block_rf[[i]]$OOB.list, na.rm=T),2),\n", + " '(', round(FSA::se(results_block_rf[[i]]$OOB.list, na.rm=T),2), ')')\n", + " table_block = rbind(table_block, results_block_rf[[i]][c('n', 'p', 'rou', 'FP', 'FN', 'MSE', 'Stab', 'OOB')])\n", + " tmp_num_select[i] = mean(rowSums(results_block_rf[[i]]$Stab.table))\n", + "}\n", + "table_block = as.data.frame(table_block)\n", + "table_block$num_select = tmp_num_select\n", + "table_block$FDR = round(avg_FDR,2)" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", + "\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\n", + "
    nprouFPFNMSEStabOOBnum_selectFDR
    50 50 0.1 1 ( 0 ) 6 ( 0 ) 0.08 ( 0 ) NaN 0.59 ( 0.01 )0.00 NaN
    100 50 0.1 2.26 ( 0.17 )5.06 ( 0.12 )0.07 ( 0 ) 0.03 0.58 ( 0 ) 3.04 0.70
    500 50 0.1 2.34 ( 0.16 )3.77 ( 0.14 )0.05 ( 0 ) 0.23 0.56 ( 0 ) 4.56 0.49
    1000 50 0.1 2.37 ( 0.16 )2.54 ( 0.11 )0.05 ( 0 ) 0.51 0.55 ( 0 ) 5.83 0.38
    50 100 0.1 1 ( 0 ) 6 ( 0 ) 0.08 ( 0 ) NaN 0.6 ( 0.01 )0.00 NaN
    100 100 0.1 4.76 ( 0.27 )5.51 ( 0.09 )0.07 ( 0 ) 0.01 0.58 ( 0 ) 5.24 0.91
    \n" + ], + "text/latex": [ + "\\begin{tabular}{r|llllllllll}\n", + " n & p & rou & FP & FN & MSE & Stab & OOB & num\\_select & FDR\\\\\n", + "\\hline\n", + "\t 50 & 50 & 0.1 & 1 ( 0 ) & 6 ( 0 ) & 0.08 ( 0 ) & NaN & 0.59 ( 0.01 ) & 0.00 & NaN \\\\\n", + "\t 100 & 50 & 0.1 & 2.26 ( 0.17 ) & 5.06 ( 0.12 ) & 0.07 ( 0 ) & 0.03 & 0.58 ( 0 ) & 3.04 & 0.70 \\\\\n", + "\t 500 & 50 & 0.1 & 2.34 ( 0.16 ) & 3.77 ( 0.14 ) & 0.05 ( 0 ) & 0.23 & 0.56 ( 0 ) & 4.56 & 0.49 \\\\\n", + "\t 1000 & 50 & 0.1 & 2.37 ( 0.16 ) & 2.54 ( 0.11 ) & 0.05 ( 0 ) & 0.51 & 0.55 ( 0 ) & 5.83 & 0.38 \\\\\n", + "\t 50 & 100 & 0.1 & 1 ( 0 ) & 6 ( 0 ) & 0.08 ( 0 ) & NaN & 0.6 ( 0.01 ) & 0.00 & NaN \\\\\n", + "\t 100 & 100 & 0.1 & 4.76 ( 0.27 ) & 5.51 ( 0.09 ) & 0.07 ( 0 ) & 0.01 & 0.58 ( 0 ) & 5.24 & 0.91 \\\\\n", + "\\end{tabular}\n" + ], + "text/markdown": [ + "\n", + "| n | p | rou | FP | FN | MSE | Stab | OOB | num_select | FDR |\n", + "|---|---|---|---|---|---|---|---|---|---|\n", + "| 50 | 50 | 0.1 | 1 ( 0 ) | 6 ( 0 ) | 0.08 ( 0 ) | NaN | 0.59 ( 0.01 ) | 0.00 | NaN |\n", + "| 100 | 50 | 0.1 | 2.26 ( 0.17 ) | 5.06 ( 0.12 ) | 0.07 ( 0 ) | 0.03 | 0.58 ( 0 ) | 3.04 | 0.70 |\n", + "| 500 | 50 | 0.1 | 2.34 ( 0.16 ) | 3.77 ( 0.14 ) | 0.05 ( 0 ) | 0.23 | 0.56 ( 0 ) | 4.56 | 0.49 |\n", + "| 1000 | 50 | 0.1 | 2.37 ( 0.16 ) | 2.54 ( 0.11 ) | 0.05 ( 0 ) | 0.51 | 0.55 ( 0 ) | 5.83 | 0.38 |\n", + "| 50 | 100 | 0.1 | 1 ( 0 ) | 6 ( 0 ) | 0.08 ( 0 ) | NaN | 0.6 ( 0.01 ) | 0.00 | NaN |\n", + "| 100 | 100 | 0.1 | 4.76 ( 0.27 ) | 5.51 ( 0.09 ) | 0.07 ( 0 ) | 0.01 | 0.58 ( 0 ) | 5.24 | 0.91 |\n", + "\n" + ], + "text/plain": [ + " n p rou FP FN MSE Stab OOB \n", + "1 50 50 0.1 1 ( 0 ) 6 ( 0 ) 0.08 ( 0 ) NaN 0.59 ( 0.01 )\n", + "2 100 50 0.1 2.26 ( 0.17 ) 5.06 ( 0.12 ) 0.07 ( 0 ) 0.03 0.58 ( 0 ) \n", + "3 500 50 0.1 2.34 ( 0.16 ) 3.77 ( 0.14 ) 0.05 ( 0 ) 0.23 0.56 ( 0 ) \n", + "4 1000 50 0.1 2.37 ( 0.16 ) 2.54 ( 0.11 ) 0.05 ( 0 ) 0.51 0.55 ( 0 ) \n", + "5 50 100 0.1 1 ( 0 ) 6 ( 0 ) 0.08 ( 0 ) NaN 0.6 ( 0.01 ) \n", + "6 100 100 0.1 4.76 ( 0.27 ) 5.51 ( 0.09 ) 0.07 ( 0 ) 0.01 0.58 ( 0 ) \n", + " num_select FDR \n", + "1 0.00 NaN\n", + "2 3.04 0.70\n", + "3 4.56 0.49\n", + "4 5.83 0.38\n", + "5 0.00 NaN\n", + "6 5.24 0.91" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "head(table_block)" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "extract_numeric() is deprecated: please use readr::parse_number() instead\n", + "extract_numeric() is deprecated: please use readr::parse_number() instead\n" + ] + } + ], + "source": [ + "# export result\n", + "result.table_block <- apply(table_block,2,as.character)\n", + "rownames(result.table_block) = rownames(table_block)\n", + "result.table_block = as.data.frame(result.table_block)\n", + "\n", + "# extract numbers only for 'n' & 'p'\n", + "result.table_block$n = tidyr::extract_numeric(result.table_block$n)\n", + "result.table_block$p = tidyr::extract_numeric(result.table_block$p)\n", + "result.table_block$ratio = result.table_block$p / result.table_block$n\n", + "\n", + "result.table_block = result.table_block[c('n', 'p', 'rou', 'ratio', 'Stab', 'MSE', 'FP', 'FN', 'OOB', 'num_select', 'FDR')]\n", + "colnames(result.table_block)[1:4] = c('N', 'P', 'Corr', 'Ratio')" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Warning message in eval(expr, envir, enclos):\n", + "“NAs introduced by coercion”Warning message in eval(expr, envir, enclos):\n", + "“NAs introduced by coercion”Warning message in eval(expr, envir, enclos):\n", + "“NAs introduced by coercion”" + ] + } + ], + "source": [ + "# convert interested measurements to be numeric\n", + "result.table_block$Stab = as.numeric(as.character(result.table_block$Stab))\n", + "result.table_block$MSE_mean = as.numeric(substr(result.table_block$MSE, start=1, stop=4))\n", + "result.table_block$FP_mean = as.numeric(substr(result.table_block$FP, start=1, stop=4))\n", + "result.table_block$FN_mean = as.numeric(substr(result.table_block$FN, start=1, stop=4))\n", + "result.table_block$FN_mean[is.na(result.table_block$FN_mean)] = 0\n", + "result.table_block$OOB_mean = as.numeric(substr(result.table_block$OOB, start=1, stop=4))\n", + "result.table_block$num_select = as.numeric(as.character(result.table_block$num_select))" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", + "\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\n", + "
    NPCorrRatioStabMSEFPFNOOBnum_selectFDRMSE_meanFP_meanFN_meanOOB_mean
    1 50 50 0.1 1 NaN 0.08 ( 0 ) 1 ( 0 ) 6 ( 0 ) 0.59 ( 0.01 ) 0.00 NaN 0.08 NA 0.00 0.59
    5 50 100 0.1 2 NaN 0.08 ( 0 ) 1 ( 0 ) 6 ( 0 ) 0.6 ( 0.01 ) 0.00 NaN 0.08 NA 0.00 0.60
    9 50 500 0.1 10 NaN 0.08 ( 0 ) 1 ( 0 ) 6 ( 0 ) 0.59 ( 0.01 ) 0.00 NaN 0.08 NA 0.00 0.59
    13 50 1000 0.1 20 NaN 0.08 ( 0 ) 1 ( 0 ) 6 ( 0 ) 0.59 ( 0.01 ) 0.00 NaN 0.08 NA 0.00 0.59
    17 50 50 0.3 1 NaN 0.31 ( 0.01 ) 1 ( 0 ) 6 ( 0 ) 1.14 ( 0.01 ) 0.00 NaN 0.31 NA 0.00 1.14
    21 50 100 0.3 2 NaN 0.32 ( 0.01 ) 1 ( 0 ) 6 ( 0 ) 1.2 ( 0.01 ) 0.00 NaN 0.32 NA 0.00 1.20
    25 50 500 0.3 10 NaN 0.36 ( 0.02 ) 1 ( 0 ) 6 ( 0 ) 1.23 ( 0.01 ) 0.00 NaN 0.36 NA 0.00 1.23
    29 50 1000 0.3 20 NaN 0.34 ( 0.01 ) 1 ( 0 ) 6 ( 0 ) 1.26 ( 0.01 ) 0.00 NaN 0.34 NA 0.00 1.26
    33 50 50 0.5 1 NaN 0.6 ( 0.03 ) 1 ( 0 ) 6 ( 0 ) 1.46 ( 0.01 ) 0.00 NaN 0.60 NA 0.00 1.46
    37 50 100 0.5 2 NaN 0.6 ( 0.02 ) 1 ( 0 ) 6 ( 0 ) 1.56 ( 0.01 ) 0.00 NaN 0.60 NA 0.00 1.56
    41 50 500 0.5 10 NaN 0.58 ( 0.02 ) 1 ( 0 ) 6 ( 0 ) 1.64 ( 0.02 ) 0.00 NaN 0.58 NA 0.00 1.64
    45 50 1000 0.5 20 NaN 0.57 ( 0.02 ) 1 ( 0 ) 6 ( 0 ) 1.64 ( 0.02 ) 0.00 NaN 0.57 NA 0.00 1.64
    49 50 50 0.7 1 NaN 0.8 ( 0.04 ) 1 ( 0 ) 6 ( 0 ) 1.72 ( 0.02 ) 0.00 NaN 0.80 NA 0.00 1.72
    53 50 100 0.7 2 NaN 0.92 ( 0.04 ) 1 ( 0 ) 6 ( 0 ) 1.85 ( 0.02 ) 0.00 NaN 0.92 NA 0.00 1.85
    57 50 500 0.7 10 NaN 0.91 ( 0.04 ) 1 ( 0 ) 6 ( 0 ) 2 ( 0.02 ) 0.00 NaN 0.91 NA 0.00 NA
    61 50 1000 0.7 20 NaN 0.91 ( 0.04 ) 1 ( 0 ) 6 ( 0 ) 1.98 ( 0.02 ) 0.00 NaN 0.91 NA 0.00 1.98
    65 50 50 0.9 1 NaN 1.1 ( 0.04 ) 1 ( 0 ) 6 ( 0 ) 1.99 ( 0.02 ) 0.00 NaN 1.10 NA 0.00 1.99
    69 50 100 0.9 2 NaN 1.11 ( 0.05 ) 1 ( 0 ) 6 ( 0 ) 2.06 ( 0.02 ) 0.00 NaN 1.11 NA 0.00 2.06
    73 50 500 0.9 10 NaN 1.18 ( 0.05 ) 1 ( 0 ) 6 ( 0 ) 2.2 ( 0.02 ) 0.00 NaN 1.18 NA 0.00 2.20
    75500 500 0.9 1 0.12 0.73 ( 0.01 ) 20.83 ( 0.45 )2.04 ( 0.09 ) 2 ( 0.01 ) 24.79 0.84 0.73 20.8 2.04 NA
    77 50 1000 0.9 20 NaN 1.22 ( 0.05 ) 1 ( 0 ) 6 ( 0 ) 2.3 ( 0.03 ) 0.00 NaN 1.22 NA 0.00 2.30
    \n" + ], + "text/latex": [ + "\\begin{tabular}{r|lllllllllllllll}\n", + " & N & P & Corr & Ratio & Stab & MSE & FP & FN & OOB & num\\_select & FDR & MSE\\_mean & FP\\_mean & FN\\_mean & OOB\\_mean\\\\\n", + "\\hline\n", + "\t1 & 50 & 50 & 0.1 & 1 & NaN & 0.08 ( 0 ) & 1 ( 0 ) & 6 ( 0 ) & 0.59 ( 0.01 ) & 0.00 & NaN & 0.08 & NA & 0.00 & 0.59 \\\\\n", + "\t5 & 50 & 100 & 0.1 & 2 & NaN & 0.08 ( 0 ) & 1 ( 0 ) & 6 ( 0 ) & 0.6 ( 0.01 ) & 0.00 & NaN & 0.08 & NA & 0.00 & 0.60 \\\\\n", + "\t9 & 50 & 500 & 0.1 & 10 & NaN & 0.08 ( 0 ) & 1 ( 0 ) & 6 ( 0 ) & 0.59 ( 0.01 ) & 0.00 & NaN & 0.08 & NA & 0.00 & 0.59 \\\\\n", + "\t13 & 50 & 1000 & 0.1 & 20 & NaN & 0.08 ( 0 ) & 1 ( 0 ) & 6 ( 0 ) & 0.59 ( 0.01 ) & 0.00 & NaN & 0.08 & NA & 0.00 & 0.59 \\\\\n", + "\t17 & 50 & 50 & 0.3 & 1 & NaN & 0.31 ( 0.01 ) & 1 ( 0 ) & 6 ( 0 ) & 1.14 ( 0.01 ) & 0.00 & NaN & 0.31 & NA & 0.00 & 1.14 \\\\\n", + "\t21 & 50 & 100 & 0.3 & 2 & NaN & 0.32 ( 0.01 ) & 1 ( 0 ) & 6 ( 0 ) & 1.2 ( 0.01 ) & 0.00 & NaN & 0.32 & NA & 0.00 & 1.20 \\\\\n", + "\t25 & 50 & 500 & 0.3 & 10 & NaN & 0.36 ( 0.02 ) & 1 ( 0 ) & 6 ( 0 ) & 1.23 ( 0.01 ) & 0.00 & NaN & 0.36 & NA & 0.00 & 1.23 \\\\\n", + "\t29 & 50 & 1000 & 0.3 & 20 & NaN & 0.34 ( 0.01 ) & 1 ( 0 ) & 6 ( 0 ) & 1.26 ( 0.01 ) & 0.00 & NaN & 0.34 & NA & 0.00 & 1.26 \\\\\n", + "\t33 & 50 & 50 & 0.5 & 1 & NaN & 0.6 ( 0.03 ) & 1 ( 0 ) & 6 ( 0 ) & 1.46 ( 0.01 ) & 0.00 & NaN & 0.60 & NA & 0.00 & 1.46 \\\\\n", + "\t37 & 50 & 100 & 0.5 & 2 & NaN & 0.6 ( 0.02 ) & 1 ( 0 ) & 6 ( 0 ) & 1.56 ( 0.01 ) & 0.00 & NaN & 0.60 & NA & 0.00 & 1.56 \\\\\n", + "\t41 & 50 & 500 & 0.5 & 10 & NaN & 0.58 ( 0.02 ) & 1 ( 0 ) & 6 ( 0 ) & 1.64 ( 0.02 ) & 0.00 & NaN & 0.58 & NA & 0.00 & 1.64 \\\\\n", + "\t45 & 50 & 1000 & 0.5 & 20 & NaN & 0.57 ( 0.02 ) & 1 ( 0 ) & 6 ( 0 ) & 1.64 ( 0.02 ) & 0.00 & NaN & 0.57 & NA & 0.00 & 1.64 \\\\\n", + "\t49 & 50 & 50 & 0.7 & 1 & NaN & 0.8 ( 0.04 ) & 1 ( 0 ) & 6 ( 0 ) & 1.72 ( 0.02 ) & 0.00 & NaN & 0.80 & NA & 0.00 & 1.72 \\\\\n", + "\t53 & 50 & 100 & 0.7 & 2 & NaN & 0.92 ( 0.04 ) & 1 ( 0 ) & 6 ( 0 ) & 1.85 ( 0.02 ) & 0.00 & NaN & 0.92 & NA & 0.00 & 1.85 \\\\\n", + "\t57 & 50 & 500 & 0.7 & 10 & NaN & 0.91 ( 0.04 ) & 1 ( 0 ) & 6 ( 0 ) & 2 ( 0.02 ) & 0.00 & NaN & 0.91 & NA & 0.00 & NA \\\\\n", + "\t61 & 50 & 1000 & 0.7 & 20 & NaN & 0.91 ( 0.04 ) & 1 ( 0 ) & 6 ( 0 ) & 1.98 ( 0.02 ) & 0.00 & NaN & 0.91 & NA & 0.00 & 1.98 \\\\\n", + "\t65 & 50 & 50 & 0.9 & 1 & NaN & 1.1 ( 0.04 ) & 1 ( 0 ) & 6 ( 0 ) & 1.99 ( 0.02 ) & 0.00 & NaN & 1.10 & NA & 0.00 & 1.99 \\\\\n", + "\t69 & 50 & 100 & 0.9 & 2 & NaN & 1.11 ( 0.05 ) & 1 ( 0 ) & 6 ( 0 ) & 2.06 ( 0.02 ) & 0.00 & NaN & 1.11 & NA & 0.00 & 2.06 \\\\\n", + "\t73 & 50 & 500 & 0.9 & 10 & NaN & 1.18 ( 0.05 ) & 1 ( 0 ) & 6 ( 0 ) & 2.2 ( 0.02 ) & 0.00 & NaN & 1.18 & NA & 0.00 & 2.20 \\\\\n", + "\t75 & 500 & 500 & 0.9 & 1 & 0.12 & 0.73 ( 0.01 ) & 20.83 ( 0.45 ) & 2.04 ( 0.09 ) & 2 ( 0.01 ) & 24.79 & 0.84 & 0.73 & 20.8 & 2.04 & NA \\\\\n", + "\t77 & 50 & 1000 & 0.9 & 20 & NaN & 1.22 ( 0.05 ) & 1 ( 0 ) & 6 ( 0 ) & 2.3 ( 0.03 ) & 0.00 & NaN & 1.22 & NA & 0.00 & 2.30 \\\\\n", + "\\end{tabular}\n" + ], + "text/markdown": [ + "\n", + "| | N | P | Corr | Ratio | Stab | MSE | FP | FN | OOB | num_select | FDR | MSE_mean | FP_mean | FN_mean | OOB_mean |\n", + "|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n", + "| 1 | 50 | 50 | 0.1 | 1 | NaN | 0.08 ( 0 ) | 1 ( 0 ) | 6 ( 0 ) | 0.59 ( 0.01 ) | 0.00 | NaN | 0.08 | NA | 0.00 | 0.59 |\n", + "| 5 | 50 | 100 | 0.1 | 2 | NaN | 0.08 ( 0 ) | 1 ( 0 ) | 6 ( 0 ) | 0.6 ( 0.01 ) | 0.00 | NaN | 0.08 | NA | 0.00 | 0.60 |\n", + "| 9 | 50 | 500 | 0.1 | 10 | NaN | 0.08 ( 0 ) | 1 ( 0 ) | 6 ( 0 ) | 0.59 ( 0.01 ) | 0.00 | NaN | 0.08 | NA | 0.00 | 0.59 |\n", + "| 13 | 50 | 1000 | 0.1 | 20 | NaN | 0.08 ( 0 ) | 1 ( 0 ) | 6 ( 0 ) | 0.59 ( 0.01 ) | 0.00 | NaN | 0.08 | NA | 0.00 | 0.59 |\n", + "| 17 | 50 | 50 | 0.3 | 1 | NaN | 0.31 ( 0.01 ) | 1 ( 0 ) | 6 ( 0 ) | 1.14 ( 0.01 ) | 0.00 | NaN | 0.31 | NA | 0.00 | 1.14 |\n", + "| 21 | 50 | 100 | 0.3 | 2 | NaN | 0.32 ( 0.01 ) | 1 ( 0 ) | 6 ( 0 ) | 1.2 ( 0.01 ) | 0.00 | NaN | 0.32 | NA | 0.00 | 1.20 |\n", + "| 25 | 50 | 500 | 0.3 | 10 | NaN | 0.36 ( 0.02 ) | 1 ( 0 ) | 6 ( 0 ) | 1.23 ( 0.01 ) | 0.00 | NaN | 0.36 | NA | 0.00 | 1.23 |\n", + "| 29 | 50 | 1000 | 0.3 | 20 | NaN | 0.34 ( 0.01 ) | 1 ( 0 ) | 6 ( 0 ) | 1.26 ( 0.01 ) | 0.00 | NaN | 0.34 | NA | 0.00 | 1.26 |\n", + "| 33 | 50 | 50 | 0.5 | 1 | NaN | 0.6 ( 0.03 ) | 1 ( 0 ) | 6 ( 0 ) | 1.46 ( 0.01 ) | 0.00 | NaN | 0.60 | NA | 0.00 | 1.46 |\n", + "| 37 | 50 | 100 | 0.5 | 2 | NaN | 0.6 ( 0.02 ) | 1 ( 0 ) | 6 ( 0 ) | 1.56 ( 0.01 ) | 0.00 | NaN | 0.60 | NA | 0.00 | 1.56 |\n", + "| 41 | 50 | 500 | 0.5 | 10 | NaN | 0.58 ( 0.02 ) | 1 ( 0 ) | 6 ( 0 ) | 1.64 ( 0.02 ) | 0.00 | NaN | 0.58 | NA | 0.00 | 1.64 |\n", + "| 45 | 50 | 1000 | 0.5 | 20 | NaN | 0.57 ( 0.02 ) | 1 ( 0 ) | 6 ( 0 ) | 1.64 ( 0.02 ) | 0.00 | NaN | 0.57 | NA | 0.00 | 1.64 |\n", + "| 49 | 50 | 50 | 0.7 | 1 | NaN | 0.8 ( 0.04 ) | 1 ( 0 ) | 6 ( 0 ) | 1.72 ( 0.02 ) | 0.00 | NaN | 0.80 | NA | 0.00 | 1.72 |\n", + "| 53 | 50 | 100 | 0.7 | 2 | NaN | 0.92 ( 0.04 ) | 1 ( 0 ) | 6 ( 0 ) | 1.85 ( 0.02 ) | 0.00 | NaN | 0.92 | NA | 0.00 | 1.85 |\n", + "| 57 | 50 | 500 | 0.7 | 10 | NaN | 0.91 ( 0.04 ) | 1 ( 0 ) | 6 ( 0 ) | 2 ( 0.02 ) | 0.00 | NaN | 0.91 | NA | 0.00 | NA |\n", + "| 61 | 50 | 1000 | 0.7 | 20 | NaN | 0.91 ( 0.04 ) | 1 ( 0 ) | 6 ( 0 ) | 1.98 ( 0.02 ) | 0.00 | NaN | 0.91 | NA | 0.00 | 1.98 |\n", + "| 65 | 50 | 50 | 0.9 | 1 | NaN | 1.1 ( 0.04 ) | 1 ( 0 ) | 6 ( 0 ) | 1.99 ( 0.02 ) | 0.00 | NaN | 1.10 | NA | 0.00 | 1.99 |\n", + "| 69 | 50 | 100 | 0.9 | 2 | NaN | 1.11 ( 0.05 ) | 1 ( 0 ) | 6 ( 0 ) | 2.06 ( 0.02 ) | 0.00 | NaN | 1.11 | NA | 0.00 | 2.06 |\n", + "| 73 | 50 | 500 | 0.9 | 10 | NaN | 1.18 ( 0.05 ) | 1 ( 0 ) | 6 ( 0 ) | 2.2 ( 0.02 ) | 0.00 | NaN | 1.18 | NA | 0.00 | 2.20 |\n", + "| 75 | 500 | 500 | 0.9 | 1 | 0.12 | 0.73 ( 0.01 ) | 20.83 ( 0.45 ) | 2.04 ( 0.09 ) | 2 ( 0.01 ) | 24.79 | 0.84 | 0.73 | 20.8 | 2.04 | NA |\n", + "| 77 | 50 | 1000 | 0.9 | 20 | NaN | 1.22 ( 0.05 ) | 1 ( 0 ) | 6 ( 0 ) | 2.3 ( 0.03 ) | 0.00 | NaN | 1.22 | NA | 0.00 | 2.30 |\n", + "\n" + ], + "text/plain": [ + " N P Corr Ratio Stab MSE FP FN \n", + "1 50 50 0.1 1 NaN 0.08 ( 0 ) 1 ( 0 ) 6 ( 0 ) \n", + "5 50 100 0.1 2 NaN 0.08 ( 0 ) 1 ( 0 ) 6 ( 0 ) \n", + "9 50 500 0.1 10 NaN 0.08 ( 0 ) 1 ( 0 ) 6 ( 0 ) \n", + "13 50 1000 0.1 20 NaN 0.08 ( 0 ) 1 ( 0 ) 6 ( 0 ) \n", + "17 50 50 0.3 1 NaN 0.31 ( 0.01 ) 1 ( 0 ) 6 ( 0 ) \n", + "21 50 100 0.3 2 NaN 0.32 ( 0.01 ) 1 ( 0 ) 6 ( 0 ) \n", + "25 50 500 0.3 10 NaN 0.36 ( 0.02 ) 1 ( 0 ) 6 ( 0 ) \n", + "29 50 1000 0.3 20 NaN 0.34 ( 0.01 ) 1 ( 0 ) 6 ( 0 ) \n", + "33 50 50 0.5 1 NaN 0.6 ( 0.03 ) 1 ( 0 ) 6 ( 0 ) \n", + "37 50 100 0.5 2 NaN 0.6 ( 0.02 ) 1 ( 0 ) 6 ( 0 ) \n", + "41 50 500 0.5 10 NaN 0.58 ( 0.02 ) 1 ( 0 ) 6 ( 0 ) \n", + "45 50 1000 0.5 20 NaN 0.57 ( 0.02 ) 1 ( 0 ) 6 ( 0 ) \n", + "49 50 50 0.7 1 NaN 0.8 ( 0.04 ) 1 ( 0 ) 6 ( 0 ) \n", + "53 50 100 0.7 2 NaN 0.92 ( 0.04 ) 1 ( 0 ) 6 ( 0 ) \n", + "57 50 500 0.7 10 NaN 0.91 ( 0.04 ) 1 ( 0 ) 6 ( 0 ) \n", + "61 50 1000 0.7 20 NaN 0.91 ( 0.04 ) 1 ( 0 ) 6 ( 0 ) \n", + "65 50 50 0.9 1 NaN 1.1 ( 0.04 ) 1 ( 0 ) 6 ( 0 ) \n", + "69 50 100 0.9 2 NaN 1.11 ( 0.05 ) 1 ( 0 ) 6 ( 0 ) \n", + "73 50 500 0.9 10 NaN 1.18 ( 0.05 ) 1 ( 0 ) 6 ( 0 ) \n", + "75 500 500 0.9 1 0.12 0.73 ( 0.01 ) 20.83 ( 0.45 ) 2.04 ( 0.09 )\n", + "77 50 1000 0.9 20 NaN 1.22 ( 0.05 ) 1 ( 0 ) 6 ( 0 ) \n", + " OOB num_select FDR MSE_mean FP_mean FN_mean OOB_mean\n", + "1 0.59 ( 0.01 ) 0.00 NaN 0.08 NA 0.00 0.59 \n", + "5 0.6 ( 0.01 ) 0.00 NaN 0.08 NA 0.00 0.60 \n", + "9 0.59 ( 0.01 ) 0.00 NaN 0.08 NA 0.00 0.59 \n", + "13 0.59 ( 0.01 ) 0.00 NaN 0.08 NA 0.00 0.59 \n", + "17 1.14 ( 0.01 ) 0.00 NaN 0.31 NA 0.00 1.14 \n", + "21 1.2 ( 0.01 ) 0.00 NaN 0.32 NA 0.00 1.20 \n", + "25 1.23 ( 0.01 ) 0.00 NaN 0.36 NA 0.00 1.23 \n", + "29 1.26 ( 0.01 ) 0.00 NaN 0.34 NA 0.00 1.26 \n", + "33 1.46 ( 0.01 ) 0.00 NaN 0.60 NA 0.00 1.46 \n", + "37 1.56 ( 0.01 ) 0.00 NaN 0.60 NA 0.00 1.56 \n", + "41 1.64 ( 0.02 ) 0.00 NaN 0.58 NA 0.00 1.64 \n", + "45 1.64 ( 0.02 ) 0.00 NaN 0.57 NA 0.00 1.64 \n", + "49 1.72 ( 0.02 ) 0.00 NaN 0.80 NA 0.00 1.72 \n", + "53 1.85 ( 0.02 ) 0.00 NaN 0.92 NA 0.00 1.85 \n", + "57 2 ( 0.02 ) 0.00 NaN 0.91 NA 0.00 NA \n", + "61 1.98 ( 0.02 ) 0.00 NaN 0.91 NA 0.00 1.98 \n", + "65 1.99 ( 0.02 ) 0.00 NaN 1.10 NA 0.00 1.99 \n", + "69 2.06 ( 0.02 ) 0.00 NaN 1.11 NA 0.00 2.06 \n", + "73 2.2 ( 0.02 ) 0.00 NaN 1.18 NA 0.00 2.20 \n", + "75 2 ( 0.01 ) 24.79 0.84 0.73 20.8 2.04 NA \n", + "77 2.3 ( 0.03 ) 0.00 NaN 1.22 NA 0.00 2.30 " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# check whether missing values exists\n", + "result.table_block[rowSums(is.na(result.table_block)) > 0,]" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [], + "source": [ + "# recover values\n", + "result.table_block$Stab[is.na(result.table_block$Stab)] = 0\n", + "result.table_block$FP_mean[is.na(result.table_block$FP_mean)] = 1\n", + "result.table_block$OOB_mean[is.na(result.table_block$OOB_mean)] = 2\n", + "result.table_block$FN_mean[result.table_block$num_select == 0] = 6" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", + "\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\n", + "
    NPCorrRatioStabMSEFPFNOOBnum_selectFDRMSE_meanFP_meanFN_meanOOB_mean
    150 50 0.1 1 0 0.08 ( 0 ) 1 ( 0 ) 6 ( 0 ) 0.59 ( 0.01 )0 NaN 0.08 1 6 0.59
    550 100 0.1 2 0 0.08 ( 0 ) 1 ( 0 ) 6 ( 0 ) 0.6 ( 0.01 ) 0 NaN 0.08 1 6 0.60
    950 500 0.1 10 0 0.08 ( 0 ) 1 ( 0 ) 6 ( 0 ) 0.59 ( 0.01 )0 NaN 0.08 1 6 0.59
    1350 1000 0.1 20 0 0.08 ( 0 ) 1 ( 0 ) 6 ( 0 ) 0.59 ( 0.01 )0 NaN 0.08 1 6 0.59
    1750 50 0.3 1 0 0.31 ( 0.01 )1 ( 0 ) 6 ( 0 ) 1.14 ( 0.01 )0 NaN 0.31 1 6 1.14
    2150 100 0.3 2 0 0.32 ( 0.01 )1 ( 0 ) 6 ( 0 ) 1.2 ( 0.01 ) 0 NaN 0.32 1 6 1.20
    2550 500 0.3 10 0 0.36 ( 0.02 )1 ( 0 ) 6 ( 0 ) 1.23 ( 0.01 )0 NaN 0.36 1 6 1.23
    2950 1000 0.3 20 0 0.34 ( 0.01 )1 ( 0 ) 6 ( 0 ) 1.26 ( 0.01 )0 NaN 0.34 1 6 1.26
    3350 50 0.5 1 0 0.6 ( 0.03 ) 1 ( 0 ) 6 ( 0 ) 1.46 ( 0.01 )0 NaN 0.60 1 6 1.46
    3750 100 0.5 2 0 0.6 ( 0.02 ) 1 ( 0 ) 6 ( 0 ) 1.56 ( 0.01 )0 NaN 0.60 1 6 1.56
    4150 500 0.5 10 0 0.58 ( 0.02 )1 ( 0 ) 6 ( 0 ) 1.64 ( 0.02 )0 NaN 0.58 1 6 1.64
    4550 1000 0.5 20 0 0.57 ( 0.02 )1 ( 0 ) 6 ( 0 ) 1.64 ( 0.02 )0 NaN 0.57 1 6 1.64
    4950 50 0.7 1 0 0.8 ( 0.04 ) 1 ( 0 ) 6 ( 0 ) 1.72 ( 0.02 )0 NaN 0.80 1 6 1.72
    5350 100 0.7 2 0 0.92 ( 0.04 )1 ( 0 ) 6 ( 0 ) 1.85 ( 0.02 )0 NaN 0.92 1 6 1.85
    5750 500 0.7 10 0 0.91 ( 0.04 )1 ( 0 ) 6 ( 0 ) 2 ( 0.02 ) 0 NaN 0.91 1 6 2.00
    6150 1000 0.7 20 0 0.91 ( 0.04 )1 ( 0 ) 6 ( 0 ) 1.98 ( 0.02 )0 NaN 0.91 1 6 1.98
    6550 50 0.9 1 0 1.1 ( 0.04 ) 1 ( 0 ) 6 ( 0 ) 1.99 ( 0.02 )0 NaN 1.10 1 6 1.99
    6950 100 0.9 2 0 1.11 ( 0.05 )1 ( 0 ) 6 ( 0 ) 2.06 ( 0.02 )0 NaN 1.11 1 6 2.06
    7350 500 0.9 10 0 1.18 ( 0.05 )1 ( 0 ) 6 ( 0 ) 2.2 ( 0.02 ) 0 NaN 1.18 1 6 2.20
    7750 1000 0.9 20 0 1.22 ( 0.05 )1 ( 0 ) 6 ( 0 ) 2.3 ( 0.03 ) 0 NaN 1.22 1 6 2.30
    \n" + ], + "text/latex": [ + "\\begin{tabular}{r|lllllllllllllll}\n", + " & N & P & Corr & Ratio & Stab & MSE & FP & FN & OOB & num\\_select & FDR & MSE\\_mean & FP\\_mean & FN\\_mean & OOB\\_mean\\\\\n", + "\\hline\n", + "\t1 & 50 & 50 & 0.1 & 1 & 0 & 0.08 ( 0 ) & 1 ( 0 ) & 6 ( 0 ) & 0.59 ( 0.01 ) & 0 & NaN & 0.08 & 1 & 6 & 0.59 \\\\\n", + "\t5 & 50 & 100 & 0.1 & 2 & 0 & 0.08 ( 0 ) & 1 ( 0 ) & 6 ( 0 ) & 0.6 ( 0.01 ) & 0 & NaN & 0.08 & 1 & 6 & 0.60 \\\\\n", + "\t9 & 50 & 500 & 0.1 & 10 & 0 & 0.08 ( 0 ) & 1 ( 0 ) & 6 ( 0 ) & 0.59 ( 0.01 ) & 0 & NaN & 0.08 & 1 & 6 & 0.59 \\\\\n", + "\t13 & 50 & 1000 & 0.1 & 20 & 0 & 0.08 ( 0 ) & 1 ( 0 ) & 6 ( 0 ) & 0.59 ( 0.01 ) & 0 & NaN & 0.08 & 1 & 6 & 0.59 \\\\\n", + "\t17 & 50 & 50 & 0.3 & 1 & 0 & 0.31 ( 0.01 ) & 1 ( 0 ) & 6 ( 0 ) & 1.14 ( 0.01 ) & 0 & NaN & 0.31 & 1 & 6 & 1.14 \\\\\n", + "\t21 & 50 & 100 & 0.3 & 2 & 0 & 0.32 ( 0.01 ) & 1 ( 0 ) & 6 ( 0 ) & 1.2 ( 0.01 ) & 0 & NaN & 0.32 & 1 & 6 & 1.20 \\\\\n", + "\t25 & 50 & 500 & 0.3 & 10 & 0 & 0.36 ( 0.02 ) & 1 ( 0 ) & 6 ( 0 ) & 1.23 ( 0.01 ) & 0 & NaN & 0.36 & 1 & 6 & 1.23 \\\\\n", + "\t29 & 50 & 1000 & 0.3 & 20 & 0 & 0.34 ( 0.01 ) & 1 ( 0 ) & 6 ( 0 ) & 1.26 ( 0.01 ) & 0 & NaN & 0.34 & 1 & 6 & 1.26 \\\\\n", + "\t33 & 50 & 50 & 0.5 & 1 & 0 & 0.6 ( 0.03 ) & 1 ( 0 ) & 6 ( 0 ) & 1.46 ( 0.01 ) & 0 & NaN & 0.60 & 1 & 6 & 1.46 \\\\\n", + "\t37 & 50 & 100 & 0.5 & 2 & 0 & 0.6 ( 0.02 ) & 1 ( 0 ) & 6 ( 0 ) & 1.56 ( 0.01 ) & 0 & NaN & 0.60 & 1 & 6 & 1.56 \\\\\n", + "\t41 & 50 & 500 & 0.5 & 10 & 0 & 0.58 ( 0.02 ) & 1 ( 0 ) & 6 ( 0 ) & 1.64 ( 0.02 ) & 0 & NaN & 0.58 & 1 & 6 & 1.64 \\\\\n", + "\t45 & 50 & 1000 & 0.5 & 20 & 0 & 0.57 ( 0.02 ) & 1 ( 0 ) & 6 ( 0 ) & 1.64 ( 0.02 ) & 0 & NaN & 0.57 & 1 & 6 & 1.64 \\\\\n", + "\t49 & 50 & 50 & 0.7 & 1 & 0 & 0.8 ( 0.04 ) & 1 ( 0 ) & 6 ( 0 ) & 1.72 ( 0.02 ) & 0 & NaN & 0.80 & 1 & 6 & 1.72 \\\\\n", + "\t53 & 50 & 100 & 0.7 & 2 & 0 & 0.92 ( 0.04 ) & 1 ( 0 ) & 6 ( 0 ) & 1.85 ( 0.02 ) & 0 & NaN & 0.92 & 1 & 6 & 1.85 \\\\\n", + "\t57 & 50 & 500 & 0.7 & 10 & 0 & 0.91 ( 0.04 ) & 1 ( 0 ) & 6 ( 0 ) & 2 ( 0.02 ) & 0 & NaN & 0.91 & 1 & 6 & 2.00 \\\\\n", + "\t61 & 50 & 1000 & 0.7 & 20 & 0 & 0.91 ( 0.04 ) & 1 ( 0 ) & 6 ( 0 ) & 1.98 ( 0.02 ) & 0 & NaN & 0.91 & 1 & 6 & 1.98 \\\\\n", + "\t65 & 50 & 50 & 0.9 & 1 & 0 & 1.1 ( 0.04 ) & 1 ( 0 ) & 6 ( 0 ) & 1.99 ( 0.02 ) & 0 & NaN & 1.10 & 1 & 6 & 1.99 \\\\\n", + "\t69 & 50 & 100 & 0.9 & 2 & 0 & 1.11 ( 0.05 ) & 1 ( 0 ) & 6 ( 0 ) & 2.06 ( 0.02 ) & 0 & NaN & 1.11 & 1 & 6 & 2.06 \\\\\n", + "\t73 & 50 & 500 & 0.9 & 10 & 0 & 1.18 ( 0.05 ) & 1 ( 0 ) & 6 ( 0 ) & 2.2 ( 0.02 ) & 0 & NaN & 1.18 & 1 & 6 & 2.20 \\\\\n", + "\t77 & 50 & 1000 & 0.9 & 20 & 0 & 1.22 ( 0.05 ) & 1 ( 0 ) & 6 ( 0 ) & 2.3 ( 0.03 ) & 0 & NaN & 1.22 & 1 & 6 & 2.30 \\\\\n", + "\\end{tabular}\n" + ], + "text/markdown": [ + "\n", + "| | N | P | Corr | Ratio | Stab | MSE | FP | FN | OOB | num_select | FDR | MSE_mean | FP_mean | FN_mean | OOB_mean |\n", + "|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n", + "| 1 | 50 | 50 | 0.1 | 1 | 0 | 0.08 ( 0 ) | 1 ( 0 ) | 6 ( 0 ) | 0.59 ( 0.01 ) | 0 | NaN | 0.08 | 1 | 6 | 0.59 |\n", + "| 5 | 50 | 100 | 0.1 | 2 | 0 | 0.08 ( 0 ) | 1 ( 0 ) | 6 ( 0 ) | 0.6 ( 0.01 ) | 0 | NaN | 0.08 | 1 | 6 | 0.60 |\n", + "| 9 | 50 | 500 | 0.1 | 10 | 0 | 0.08 ( 0 ) | 1 ( 0 ) | 6 ( 0 ) | 0.59 ( 0.01 ) | 0 | NaN | 0.08 | 1 | 6 | 0.59 |\n", + "| 13 | 50 | 1000 | 0.1 | 20 | 0 | 0.08 ( 0 ) | 1 ( 0 ) | 6 ( 0 ) | 0.59 ( 0.01 ) | 0 | NaN | 0.08 | 1 | 6 | 0.59 |\n", + "| 17 | 50 | 50 | 0.3 | 1 | 0 | 0.31 ( 0.01 ) | 1 ( 0 ) | 6 ( 0 ) | 1.14 ( 0.01 ) | 0 | NaN | 0.31 | 1 | 6 | 1.14 |\n", + "| 21 | 50 | 100 | 0.3 | 2 | 0 | 0.32 ( 0.01 ) | 1 ( 0 ) | 6 ( 0 ) | 1.2 ( 0.01 ) | 0 | NaN | 0.32 | 1 | 6 | 1.20 |\n", + "| 25 | 50 | 500 | 0.3 | 10 | 0 | 0.36 ( 0.02 ) | 1 ( 0 ) | 6 ( 0 ) | 1.23 ( 0.01 ) | 0 | NaN | 0.36 | 1 | 6 | 1.23 |\n", + "| 29 | 50 | 1000 | 0.3 | 20 | 0 | 0.34 ( 0.01 ) | 1 ( 0 ) | 6 ( 0 ) | 1.26 ( 0.01 ) | 0 | NaN | 0.34 | 1 | 6 | 1.26 |\n", + "| 33 | 50 | 50 | 0.5 | 1 | 0 | 0.6 ( 0.03 ) | 1 ( 0 ) | 6 ( 0 ) | 1.46 ( 0.01 ) | 0 | NaN | 0.60 | 1 | 6 | 1.46 |\n", + "| 37 | 50 | 100 | 0.5 | 2 | 0 | 0.6 ( 0.02 ) | 1 ( 0 ) | 6 ( 0 ) | 1.56 ( 0.01 ) | 0 | NaN | 0.60 | 1 | 6 | 1.56 |\n", + "| 41 | 50 | 500 | 0.5 | 10 | 0 | 0.58 ( 0.02 ) | 1 ( 0 ) | 6 ( 0 ) | 1.64 ( 0.02 ) | 0 | NaN | 0.58 | 1 | 6 | 1.64 |\n", + "| 45 | 50 | 1000 | 0.5 | 20 | 0 | 0.57 ( 0.02 ) | 1 ( 0 ) | 6 ( 0 ) | 1.64 ( 0.02 ) | 0 | NaN | 0.57 | 1 | 6 | 1.64 |\n", + "| 49 | 50 | 50 | 0.7 | 1 | 0 | 0.8 ( 0.04 ) | 1 ( 0 ) | 6 ( 0 ) | 1.72 ( 0.02 ) | 0 | NaN | 0.80 | 1 | 6 | 1.72 |\n", + "| 53 | 50 | 100 | 0.7 | 2 | 0 | 0.92 ( 0.04 ) | 1 ( 0 ) | 6 ( 0 ) | 1.85 ( 0.02 ) | 0 | NaN | 0.92 | 1 | 6 | 1.85 |\n", + "| 57 | 50 | 500 | 0.7 | 10 | 0 | 0.91 ( 0.04 ) | 1 ( 0 ) | 6 ( 0 ) | 2 ( 0.02 ) | 0 | NaN | 0.91 | 1 | 6 | 2.00 |\n", + "| 61 | 50 | 1000 | 0.7 | 20 | 0 | 0.91 ( 0.04 ) | 1 ( 0 ) | 6 ( 0 ) | 1.98 ( 0.02 ) | 0 | NaN | 0.91 | 1 | 6 | 1.98 |\n", + "| 65 | 50 | 50 | 0.9 | 1 | 0 | 1.1 ( 0.04 ) | 1 ( 0 ) | 6 ( 0 ) | 1.99 ( 0.02 ) | 0 | NaN | 1.10 | 1 | 6 | 1.99 |\n", + "| 69 | 50 | 100 | 0.9 | 2 | 0 | 1.11 ( 0.05 ) | 1 ( 0 ) | 6 ( 0 ) | 2.06 ( 0.02 ) | 0 | NaN | 1.11 | 1 | 6 | 2.06 |\n", + "| 73 | 50 | 500 | 0.9 | 10 | 0 | 1.18 ( 0.05 ) | 1 ( 0 ) | 6 ( 0 ) | 2.2 ( 0.02 ) | 0 | NaN | 1.18 | 1 | 6 | 2.20 |\n", + "| 77 | 50 | 1000 | 0.9 | 20 | 0 | 1.22 ( 0.05 ) | 1 ( 0 ) | 6 ( 0 ) | 2.3 ( 0.03 ) | 0 | NaN | 1.22 | 1 | 6 | 2.30 |\n", + "\n" + ], + "text/plain": [ + " N P Corr Ratio Stab MSE FP FN OOB \n", + "1 50 50 0.1 1 0 0.08 ( 0 ) 1 ( 0 ) 6 ( 0 ) 0.59 ( 0.01 )\n", + "5 50 100 0.1 2 0 0.08 ( 0 ) 1 ( 0 ) 6 ( 0 ) 0.6 ( 0.01 ) \n", + "9 50 500 0.1 10 0 0.08 ( 0 ) 1 ( 0 ) 6 ( 0 ) 0.59 ( 0.01 )\n", + "13 50 1000 0.1 20 0 0.08 ( 0 ) 1 ( 0 ) 6 ( 0 ) 0.59 ( 0.01 )\n", + "17 50 50 0.3 1 0 0.31 ( 0.01 ) 1 ( 0 ) 6 ( 0 ) 1.14 ( 0.01 )\n", + "21 50 100 0.3 2 0 0.32 ( 0.01 ) 1 ( 0 ) 6 ( 0 ) 1.2 ( 0.01 ) \n", + "25 50 500 0.3 10 0 0.36 ( 0.02 ) 1 ( 0 ) 6 ( 0 ) 1.23 ( 0.01 )\n", + "29 50 1000 0.3 20 0 0.34 ( 0.01 ) 1 ( 0 ) 6 ( 0 ) 1.26 ( 0.01 )\n", + "33 50 50 0.5 1 0 0.6 ( 0.03 ) 1 ( 0 ) 6 ( 0 ) 1.46 ( 0.01 )\n", + "37 50 100 0.5 2 0 0.6 ( 0.02 ) 1 ( 0 ) 6 ( 0 ) 1.56 ( 0.01 )\n", + "41 50 500 0.5 10 0 0.58 ( 0.02 ) 1 ( 0 ) 6 ( 0 ) 1.64 ( 0.02 )\n", + "45 50 1000 0.5 20 0 0.57 ( 0.02 ) 1 ( 0 ) 6 ( 0 ) 1.64 ( 0.02 )\n", + "49 50 50 0.7 1 0 0.8 ( 0.04 ) 1 ( 0 ) 6 ( 0 ) 1.72 ( 0.02 )\n", + "53 50 100 0.7 2 0 0.92 ( 0.04 ) 1 ( 0 ) 6 ( 0 ) 1.85 ( 0.02 )\n", + "57 50 500 0.7 10 0 0.91 ( 0.04 ) 1 ( 0 ) 6 ( 0 ) 2 ( 0.02 ) \n", + "61 50 1000 0.7 20 0 0.91 ( 0.04 ) 1 ( 0 ) 6 ( 0 ) 1.98 ( 0.02 )\n", + "65 50 50 0.9 1 0 1.1 ( 0.04 ) 1 ( 0 ) 6 ( 0 ) 1.99 ( 0.02 )\n", + "69 50 100 0.9 2 0 1.11 ( 0.05 ) 1 ( 0 ) 6 ( 0 ) 2.06 ( 0.02 )\n", + "73 50 500 0.9 10 0 1.18 ( 0.05 ) 1 ( 0 ) 6 ( 0 ) 2.2 ( 0.02 ) \n", + "77 50 1000 0.9 20 0 1.22 ( 0.05 ) 1 ( 0 ) 6 ( 0 ) 2.3 ( 0.03 ) \n", + " num_select FDR MSE_mean FP_mean FN_mean OOB_mean\n", + "1 0 NaN 0.08 1 6 0.59 \n", + "5 0 NaN 0.08 1 6 0.60 \n", + "9 0 NaN 0.08 1 6 0.59 \n", + "13 0 NaN 0.08 1 6 0.59 \n", + "17 0 NaN 0.31 1 6 1.14 \n", + "21 0 NaN 0.32 1 6 1.20 \n", + "25 0 NaN 0.36 1 6 1.23 \n", + "29 0 NaN 0.34 1 6 1.26 \n", + "33 0 NaN 0.60 1 6 1.46 \n", + "37 0 NaN 0.60 1 6 1.56 \n", + "41 0 NaN 0.58 1 6 1.64 \n", + "45 0 NaN 0.57 1 6 1.64 \n", + "49 0 NaN 0.80 1 6 1.72 \n", + "53 0 NaN 0.92 1 6 1.85 \n", + "57 0 NaN 0.91 1 6 2.00 \n", + "61 0 NaN 0.91 1 6 1.98 \n", + "65 0 NaN 1.10 1 6 1.99 \n", + "69 0 NaN 1.11 1 6 2.06 \n", + "73 0 NaN 1.18 1 6 2.20 \n", + "77 0 NaN 1.22 1 6 2.30 " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "result.table_block[c(1,5,9,13,17,21,25,29,33,37,41,45,49,53,57,61,65,69,73,77), ]" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", + "\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\n", + "
    NPCorrRatioStabMSEFPFNOOBnum_selectFDRMSE_meanFP_meanFN_meanOOB_mean
    50 50 0.1 1.00 0.00 0.08 ( 0 ) 1 ( 0 ) 6 ( 0 ) 0.59 ( 0.01 )0.00 NaN 0.08 1.00 6.00 0.59
    100 50 0.1 0.50 0.03 0.07 ( 0 ) 2.26 ( 0.17 )5.06 ( 0.12 )0.58 ( 0 ) 3.04 0.7 0.07 2.26 5.06 0.58
    500 50 0.1 0.10 0.23 0.05 ( 0 ) 2.34 ( 0.16 )3.77 ( 0.14 )0.56 ( 0 ) 4.56 0.49 0.05 2.34 3.77 0.56
    1000 50 0.1 0.05 0.51 0.05 ( 0 ) 2.37 ( 0.16 )2.54 ( 0.11 )0.55 ( 0 ) 5.83 0.38 0.05 2.37 2.54 0.55
    50 100 0.1 2.00 0.00 0.08 ( 0 ) 1 ( 0 ) 6 ( 0 ) 0.6 ( 0.01 ) 0.00 NaN 0.08 1.00 6.00 0.60
    100 100 0.1 1.00 0.01 0.07 ( 0 ) 4.76 ( 0.27 )5.51 ( 0.09 )0.58 ( 0 ) 5.24 0.91 0.07 4.76 5.51 0.58
    \n" + ], + "text/latex": [ + "\\begin{tabular}{r|lllllllllllllll}\n", + " N & P & Corr & Ratio & Stab & MSE & FP & FN & OOB & num\\_select & FDR & MSE\\_mean & FP\\_mean & FN\\_mean & OOB\\_mean\\\\\n", + "\\hline\n", + "\t 50 & 50 & 0.1 & 1.00 & 0.00 & 0.08 ( 0 ) & 1 ( 0 ) & 6 ( 0 ) & 0.59 ( 0.01 ) & 0.00 & NaN & 0.08 & 1.00 & 6.00 & 0.59 \\\\\n", + "\t 100 & 50 & 0.1 & 0.50 & 0.03 & 0.07 ( 0 ) & 2.26 ( 0.17 ) & 5.06 ( 0.12 ) & 0.58 ( 0 ) & 3.04 & 0.7 & 0.07 & 2.26 & 5.06 & 0.58 \\\\\n", + "\t 500 & 50 & 0.1 & 0.10 & 0.23 & 0.05 ( 0 ) & 2.34 ( 0.16 ) & 3.77 ( 0.14 ) & 0.56 ( 0 ) & 4.56 & 0.49 & 0.05 & 2.34 & 3.77 & 0.56 \\\\\n", + "\t 1000 & 50 & 0.1 & 0.05 & 0.51 & 0.05 ( 0 ) & 2.37 ( 0.16 ) & 2.54 ( 0.11 ) & 0.55 ( 0 ) & 5.83 & 0.38 & 0.05 & 2.37 & 2.54 & 0.55 \\\\\n", + "\t 50 & 100 & 0.1 & 2.00 & 0.00 & 0.08 ( 0 ) & 1 ( 0 ) & 6 ( 0 ) & 0.6 ( 0.01 ) & 0.00 & NaN & 0.08 & 1.00 & 6.00 & 0.60 \\\\\n", + "\t 100 & 100 & 0.1 & 1.00 & 0.01 & 0.07 ( 0 ) & 4.76 ( 0.27 ) & 5.51 ( 0.09 ) & 0.58 ( 0 ) & 5.24 & 0.91 & 0.07 & 4.76 & 5.51 & 0.58 \\\\\n", + "\\end{tabular}\n" + ], + "text/markdown": [ + "\n", + "| N | P | Corr | Ratio | Stab | MSE | FP | FN | OOB | num_select | FDR | MSE_mean | FP_mean | FN_mean | OOB_mean |\n", + "|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n", + "| 50 | 50 | 0.1 | 1.00 | 0.00 | 0.08 ( 0 ) | 1 ( 0 ) | 6 ( 0 ) | 0.59 ( 0.01 ) | 0.00 | NaN | 0.08 | 1.00 | 6.00 | 0.59 |\n", + "| 100 | 50 | 0.1 | 0.50 | 0.03 | 0.07 ( 0 ) | 2.26 ( 0.17 ) | 5.06 ( 0.12 ) | 0.58 ( 0 ) | 3.04 | 0.7 | 0.07 | 2.26 | 5.06 | 0.58 |\n", + "| 500 | 50 | 0.1 | 0.10 | 0.23 | 0.05 ( 0 ) | 2.34 ( 0.16 ) | 3.77 ( 0.14 ) | 0.56 ( 0 ) | 4.56 | 0.49 | 0.05 | 2.34 | 3.77 | 0.56 |\n", + "| 1000 | 50 | 0.1 | 0.05 | 0.51 | 0.05 ( 0 ) | 2.37 ( 0.16 ) | 2.54 ( 0.11 ) | 0.55 ( 0 ) | 5.83 | 0.38 | 0.05 | 2.37 | 2.54 | 0.55 |\n", + "| 50 | 100 | 0.1 | 2.00 | 0.00 | 0.08 ( 0 ) | 1 ( 0 ) | 6 ( 0 ) | 0.6 ( 0.01 ) | 0.00 | NaN | 0.08 | 1.00 | 6.00 | 0.60 |\n", + "| 100 | 100 | 0.1 | 1.00 | 0.01 | 0.07 ( 0 ) | 4.76 ( 0.27 ) | 5.51 ( 0.09 ) | 0.58 ( 0 ) | 5.24 | 0.91 | 0.07 | 4.76 | 5.51 | 0.58 |\n", + "\n" + ], + "text/plain": [ + " N P Corr Ratio Stab MSE FP FN OOB \n", + "1 50 50 0.1 1.00 0.00 0.08 ( 0 ) 1 ( 0 ) 6 ( 0 ) 0.59 ( 0.01 )\n", + "2 100 50 0.1 0.50 0.03 0.07 ( 0 ) 2.26 ( 0.17 ) 5.06 ( 0.12 ) 0.58 ( 0 ) \n", + "3 500 50 0.1 0.10 0.23 0.05 ( 0 ) 2.34 ( 0.16 ) 3.77 ( 0.14 ) 0.56 ( 0 ) \n", + "4 1000 50 0.1 0.05 0.51 0.05 ( 0 ) 2.37 ( 0.16 ) 2.54 ( 0.11 ) 0.55 ( 0 ) \n", + "5 50 100 0.1 2.00 0.00 0.08 ( 0 ) 1 ( 0 ) 6 ( 0 ) 0.6 ( 0.01 ) \n", + "6 100 100 0.1 1.00 0.01 0.07 ( 0 ) 4.76 ( 0.27 ) 5.51 ( 0.09 ) 0.58 ( 0 ) \n", + " num_select FDR MSE_mean FP_mean FN_mean OOB_mean\n", + "1 0.00 NaN 0.08 1.00 6.00 0.59 \n", + "2 3.04 0.7 0.07 2.26 5.06 0.58 \n", + "3 4.56 0.49 0.05 2.34 3.77 0.56 \n", + "4 5.83 0.38 0.05 2.37 2.54 0.55 \n", + "5 0.00 NaN 0.08 1.00 6.00 0.60 \n", + "6 5.24 0.91 0.07 4.76 5.51 0.58 " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "head(result.table_block)" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", + "\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\n", + "
    NPCorrRatioStabMSEFPFNOOBnum_selectFDRMSE_meanFP_meanFN_meanOOB_mean
    75 500 500 0.9 1.0 0.12 0.73 ( 0.01 ) 20.83 ( 0.45 )2.04 ( 0.09 ) 2 ( 0.01 ) 24.79 0.84 0.73 20.8 2.04 2.00
    761000 500 0.9 0.5 0.18 0.68 ( 0.01 ) 18.47 ( 0.43 )1 ( 0.07 ) 1.92 ( 0 ) 23.47 0.78 0.68 18.4 0.00 1.92
    77 50 1000 0.9 20.0 0.00 1.22 ( 0.05 ) 1 ( 0 ) 6 ( 0 ) 2.3 ( 0.03 ) 0.00 NaN 1.22 1.0 6.00 2.30
    78 100 1000 0.9 10.0 0.01 0.93 ( 0.02 ) 49.18 ( 0.69 )4.67 ( 0.09 ) 2.22 ( 0.02 ) 50.51 0.97 0.93 49.1 4.67 2.22
    79 500 1000 0.9 2.0 0.06 0.78 ( 0.01 ) 46.01 ( 0.7 ) 2.14 ( 0.09 ) 2.12 ( 0.01 ) 49.87 0.92 0.78 46.0 2.14 2.12
    801000 1000 0.9 1.0 0.08 0.74 ( 0.01 ) 43.05 ( 0.72 )1.17 ( 0.08 ) 2.07 ( 0 ) 47.88 0.9 0.74 43.0 1.17 2.07
    \n" + ], + "text/latex": [ + "\\begin{tabular}{r|lllllllllllllll}\n", + " & N & P & Corr & Ratio & Stab & MSE & FP & FN & OOB & num\\_select & FDR & MSE\\_mean & FP\\_mean & FN\\_mean & OOB\\_mean\\\\\n", + "\\hline\n", + "\t75 & 500 & 500 & 0.9 & 1.0 & 0.12 & 0.73 ( 0.01 ) & 20.83 ( 0.45 ) & 2.04 ( 0.09 ) & 2 ( 0.01 ) & 24.79 & 0.84 & 0.73 & 20.8 & 2.04 & 2.00 \\\\\n", + "\t76 & 1000 & 500 & 0.9 & 0.5 & 0.18 & 0.68 ( 0.01 ) & 18.47 ( 0.43 ) & 1 ( 0.07 ) & 1.92 ( 0 ) & 23.47 & 0.78 & 0.68 & 18.4 & 0.00 & 1.92 \\\\\n", + "\t77 & 50 & 1000 & 0.9 & 20.0 & 0.00 & 1.22 ( 0.05 ) & 1 ( 0 ) & 6 ( 0 ) & 2.3 ( 0.03 ) & 0.00 & NaN & 1.22 & 1.0 & 6.00 & 2.30 \\\\\n", + "\t78 & 100 & 1000 & 0.9 & 10.0 & 0.01 & 0.93 ( 0.02 ) & 49.18 ( 0.69 ) & 4.67 ( 0.09 ) & 2.22 ( 0.02 ) & 50.51 & 0.97 & 0.93 & 49.1 & 4.67 & 2.22 \\\\\n", + "\t79 & 500 & 1000 & 0.9 & 2.0 & 0.06 & 0.78 ( 0.01 ) & 46.01 ( 0.7 ) & 2.14 ( 0.09 ) & 2.12 ( 0.01 ) & 49.87 & 0.92 & 0.78 & 46.0 & 2.14 & 2.12 \\\\\n", + "\t80 & 1000 & 1000 & 0.9 & 1.0 & 0.08 & 0.74 ( 0.01 ) & 43.05 ( 0.72 ) & 1.17 ( 0.08 ) & 2.07 ( 0 ) & 47.88 & 0.9 & 0.74 & 43.0 & 1.17 & 2.07 \\\\\n", + "\\end{tabular}\n" + ], + "text/markdown": [ + "\n", + "| | N | P | Corr | Ratio | Stab | MSE | FP | FN | OOB | num_select | FDR | MSE_mean | FP_mean | FN_mean | OOB_mean |\n", + "|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n", + "| 75 | 500 | 500 | 0.9 | 1.0 | 0.12 | 0.73 ( 0.01 ) | 20.83 ( 0.45 ) | 2.04 ( 0.09 ) | 2 ( 0.01 ) | 24.79 | 0.84 | 0.73 | 20.8 | 2.04 | 2.00 |\n", + "| 76 | 1000 | 500 | 0.9 | 0.5 | 0.18 | 0.68 ( 0.01 ) | 18.47 ( 0.43 ) | 1 ( 0.07 ) | 1.92 ( 0 ) | 23.47 | 0.78 | 0.68 | 18.4 | 0.00 | 1.92 |\n", + "| 77 | 50 | 1000 | 0.9 | 20.0 | 0.00 | 1.22 ( 0.05 ) | 1 ( 0 ) | 6 ( 0 ) | 2.3 ( 0.03 ) | 0.00 | NaN | 1.22 | 1.0 | 6.00 | 2.30 |\n", + "| 78 | 100 | 1000 | 0.9 | 10.0 | 0.01 | 0.93 ( 0.02 ) | 49.18 ( 0.69 ) | 4.67 ( 0.09 ) | 2.22 ( 0.02 ) | 50.51 | 0.97 | 0.93 | 49.1 | 4.67 | 2.22 |\n", + "| 79 | 500 | 1000 | 0.9 | 2.0 | 0.06 | 0.78 ( 0.01 ) | 46.01 ( 0.7 ) | 2.14 ( 0.09 ) | 2.12 ( 0.01 ) | 49.87 | 0.92 | 0.78 | 46.0 | 2.14 | 2.12 |\n", + "| 80 | 1000 | 1000 | 0.9 | 1.0 | 0.08 | 0.74 ( 0.01 ) | 43.05 ( 0.72 ) | 1.17 ( 0.08 ) | 2.07 ( 0 ) | 47.88 | 0.9 | 0.74 | 43.0 | 1.17 | 2.07 |\n", + "\n" + ], + "text/plain": [ + " N P Corr Ratio Stab MSE FP FN \n", + "75 500 500 0.9 1.0 0.12 0.73 ( 0.01 ) 20.83 ( 0.45 ) 2.04 ( 0.09 )\n", + "76 1000 500 0.9 0.5 0.18 0.68 ( 0.01 ) 18.47 ( 0.43 ) 1 ( 0.07 ) \n", + "77 50 1000 0.9 20.0 0.00 1.22 ( 0.05 ) 1 ( 0 ) 6 ( 0 ) \n", + "78 100 1000 0.9 10.0 0.01 0.93 ( 0.02 ) 49.18 ( 0.69 ) 4.67 ( 0.09 )\n", + "79 500 1000 0.9 2.0 0.06 0.78 ( 0.01 ) 46.01 ( 0.7 ) 2.14 ( 0.09 )\n", + "80 1000 1000 0.9 1.0 0.08 0.74 ( 0.01 ) 43.05 ( 0.72 ) 1.17 ( 0.08 )\n", + " OOB num_select FDR MSE_mean FP_mean FN_mean OOB_mean\n", + "75 2 ( 0.01 ) 24.79 0.84 0.73 20.8 2.04 2.00 \n", + "76 1.92 ( 0 ) 23.47 0.78 0.68 18.4 0.00 1.92 \n", + "77 2.3 ( 0.03 ) 0.00 NaN 1.22 1.0 6.00 2.30 \n", + "78 2.22 ( 0.02 ) 50.51 0.97 0.93 49.1 4.67 2.22 \n", + "79 2.12 ( 0.01 ) 49.87 0.92 0.78 46.0 2.14 2.12 \n", + "80 2.07 ( 0 ) 47.88 0.9 0.74 43.0 1.17 2.07 " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "tail(result.table_block)" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [], + "source": [ + "## export\n", + "write.table(result.table_block, '../results_summary/sim_block_rf.txt', sep='\\t', row.names=F)" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Registered S3 methods overwritten by 'ggplot2':\n", + " method from \n", + " [.quosures rlang\n", + " c.quosures rlang\n", + " print.quosures rlang\n", + "Loading required package: magrittr\n", + "Warning message:\n", + "“Using size for a discrete variable is not advised.”Warning message:\n", + "“Using alpha for a discrete variable is not advised.”Warning message:\n", + "“Using size for a discrete variable is not advised.”Warning message:\n", + "“Using alpha for a discrete variable is not advised.”Warning message:\n", + "“Using size for a discrete variable is not advised.”Warning message:\n", + "“Using alpha for a discrete variable is not advised.”Warning message:\n", + "“Using size for a discrete variable is not advised.”Warning message:\n", + "“Using alpha for a discrete variable is not advised.”file saved to ../figures_sim/figure_block_rf.pdf\n" + ] + } + ], + "source": [ + "library(ggplot2)\n", + "library(ggpubr)\n", + "result.table_block$N = as.factor(result.table_block$N)\n", + "fig_block_stab = ggplot(result.table_block, aes(x=P, y=Stab, color=N)) + \n", + " geom_point(aes(size = Corr, alpha=Corr)) + theme(legend.position = \"none\") +\n", + " scale_size_discrete(range = c(1,4)) + scale_alpha_discrete(range = c(1, 0.4)) + ylab('Stability')\n", + "\n", + "fig_block_mse = ggplot(result.table_block, aes(x=P, y=MSE_mean, color=N)) + \n", + " geom_point(aes(size = Corr, alpha=Corr)) + theme(legend.position=\"none\") +\n", + " scale_size_discrete(range = c(1,4)) + scale_alpha_discrete(range = c(1, 0.4)) + ylab('MSE')\n", + "\n", + "fig_block_fp = ggplot(result.table_block, aes(x=P, y=FP_mean, color=N)) + \n", + " geom_point(aes(size = Corr, alpha=Corr)) + theme(legend.position = \"none\") +\n", + " scale_size_discrete(range = c(1,4)) + scale_alpha_discrete(range = c(1, 0.4)) + ylab('False Positives')\n", + "\n", + "fig_block_fn = ggplot(result.table_block, aes(x=P, y=FN_mean, color=N)) + \n", + " geom_point(aes(size = Corr, alpha=Corr)) + theme(legend.position = \"none\") +\n", + " scale_size_discrete(range = c(1,4)) + scale_alpha_discrete(range = c(1, 0.4)) + ylab('False Negatives')\n", + "fig = ggarrange(fig_block_stab, fig_block_mse, fig_block_fp, fig_block_fn, ncol=2, nrow=2, \n", + " common.legend = TRUE, legend=\"right\") \n", + "fig = annotate_figure(fig, top = text_grob(\"Block_RandomForests\"))\n", + "ggexport(fig, filename = \"../figures_sim/figure_block_rf.pdf\", height=6, width=6)" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Warning message:\n", + "“Using size for a discrete variable is not advised.”Warning message:\n", + "“Using alpha for a discrete variable is not advised.”Warning message:\n", + "“Using size for a discrete variable is not advised.”Warning message:\n", + "“Using alpha for a discrete variable is not advised.”file saved to ../figures_sim/figure_block_rf_OOB_MSE.pdf\n" + ] + } + ], + "source": [ + "library(ggplot2)\n", + "library(ggpubr)\n", + "result.table_block$N = as.factor(result.table_block$N)\n", + "fig_block_oob = ggplot(result.table_block, aes(x=P, y=OOB_mean, color=N)) + \n", + " geom_point(aes(size = Corr, alpha=Corr)) + theme(legend.position=\"none\") +\n", + " scale_size_discrete(range = c(1,4)) + scale_alpha_discrete(range = c(1, 0.4))\n", + "\n", + "fig_block_mse = ggplot(result.table_block, aes(x=P, y=MSE_mean, color=N)) + \n", + " geom_point(aes(size = Corr, alpha=Corr)) + theme(legend.position=\"none\") +\n", + " scale_size_discrete(range = c(1,4)) + scale_alpha_discrete(range = c(1, 0.4))\n", + "fig_oob_mse = ggarrange(fig_block_oob, fig_block_mse, ncol=2, nrow=1, common.legend = TRUE, legend=\"right\") \n", + "fig_oob_mse = annotate_figure(fig_oob_mse, top = text_grob(\"Block_RandomForests_OOB_MSE\"))\n", + "ggexport(fig_oob_mse, filename = \"../figures_sim/figure_block_rf_OOB_MSE.pdf\", height=6, width=6)" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", + "\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\n", + "
    NPCorrRatioStabMSEFPFNOOBMSE_meanFP_meanFN_meanOOB_mean
    150 50 0.1 1.0 0.00 0.08 ( 0 ) 1 ( 0 ) 6 ( 0 ) 0.59 ( 0.01 )0.08 1.00 0.00 0.59
    1750 50 0.3 1.0 0.00 0.31 ( 0.01 )1 ( 0 ) 6 ( 0 ) 1.14 ( 0.01 )0.31 1.00 0.00 1.14
    3350 50 0.5 1.0 0.00 0.6 ( 0.03 ) 1 ( 0 ) 6 ( 0 ) 1.46 ( 0.01 )0.60 1.00 0.00 1.46
    4950 50 0.7 1.0 0.00 0.8 ( 0.04 ) 1 ( 0 ) 6 ( 0 ) 1.72 ( 0.02 )0.80 1.00 0.00 1.72
    6550 50 0.9 1.0 0.00 1.1 ( 0.04 ) 1 ( 0 ) 6 ( 0 ) 1.99 ( 0.02 )1.10 1.00 0.00 1.99
    550 100 0.1 2.0 0.00 0.08 ( 0 ) 1 ( 0 ) 6 ( 0 ) 0.6 ( 0.01 ) 0.08 1.00 0.00 0.60
    2150 100 0.3 2.0 0.00 0.32 ( 0.01 )1 ( 0 ) 6 ( 0 ) 1.2 ( 0.01 ) 0.32 1.00 0.00 1.20
    3750 100 0.5 2.0 0.00 0.6 ( 0.02 ) 1 ( 0 ) 6 ( 0 ) 1.56 ( 0.01 )0.60 1.00 0.00 1.56
    5350 100 0.7 2.0 0.00 0.92 ( 0.04 )1 ( 0 ) 6 ( 0 ) 1.85 ( 0.02 )0.92 1.00 0.00 1.85
    6950 100 0.9 2.0 0.00 1.11 ( 0.05 )1 ( 0 ) 6 ( 0 ) 2.06 ( 0.02 )1.11 1.00 0.00 2.06
    950 500 0.1 10.0 0.00 0.08 ( 0 ) 1 ( 0 ) 6 ( 0 ) 0.59 ( 0.01 )0.08 1.00 0.00 0.59
    2550 500 0.3 10.0 0.00 0.36 ( 0.02 )1 ( 0 ) 6 ( 0 ) 1.23 ( 0.01 )0.36 1.00 0.00 1.23
    4150 500 0.5 10.0 0.00 0.58 ( 0.02 )1 ( 0 ) 6 ( 0 ) 1.64 ( 0.02 )0.58 1.00 0.00 1.64
    5750 500 0.7 10.0 0.00 0.91 ( 0.04 )1 ( 0 ) 6 ( 0 ) 2 ( 0.02 ) 0.91 1.00 0.00 2.00
    7350 500 0.9 10.0 0.00 1.18 ( 0.05 )1 ( 0 ) 6 ( 0 ) 2.2 ( 0.02 ) 1.18 1.00 0.00 2.20
    1350 1000 0.1 20.0 0.00 0.08 ( 0 ) 1 ( 0 ) 6 ( 0 ) 0.59 ( 0.01 )0.08 1.00 0.00 0.59
    2950 1000 0.3 20.0 0.00 0.34 ( 0.01 )1 ( 0 ) 6 ( 0 ) 1.26 ( 0.01 )0.34 1.00 0.00 1.26
    4550 1000 0.5 20.0 0.00 0.57 ( 0.02 )1 ( 0 ) 6 ( 0 ) 1.64 ( 0.02 )0.57 1.00 0.00 1.64
    6150 1000 0.7 20.0 0.00 0.91 ( 0.04 )1 ( 0 ) 6 ( 0 ) 1.98 ( 0.02 )0.91 1.00 0.00 1.98
    7750 1000 0.9 20.0 0.00 1.22 ( 0.05 )1 ( 0 ) 6 ( 0 ) 2.3 ( 0.03 ) 1.22 1.00 0.00 2.30
    2100 50 0.1 0.5 0.03 0.07 ( 0 ) 2.26 ( 0.17 )5.06 ( 0.12 )0.58 ( 0 ) 0.07 2.26 5.06 0.58
    18100 50 0.3 0.5 0.05 0.25 ( 0.01 )1.97 ( 0.13 )4.84 ( 0.08 )1.05 ( 0.01 )0.25 1.97 4.84 1.05
    34100 50 0.5 0.5 0.09 0.42 ( 0.01 )1.75 ( 0.14 )4.6 ( 0.09 ) 1.33 ( 0.01 )0.42 1.75 4.60 1.33
    50100 50 0.7 0.5 0.11 0.59 ( 0.02 )1.85 ( 0.14 )4.52 ( 0.08 )1.57 ( 0.01 )0.59 1.85 4.52 1.57
    66100 50 0.9 0.5 0.16 0.78 ( 0.02 )1.56 ( 0.11 )4.38 ( 0.09 )1.78 ( 0.01 )0.78 1.56 4.38 1.78
    6100 100 0.1 1.0 0.01 0.07 ( 0 ) 4.76 ( 0.27 )5.51 ( 0.09 )0.58 ( 0 ) 0.07 4.76 5.51 0.58
    22100 100 0.3 1.0 0.05 0.25 ( 0.01 )4.14 ( 0.18 )4.63 ( 0.1 ) 1.14 ( 0.01 )0.25 4.14 4.63 1.14
    38100 100 0.5 1.0 0.06 0.47 ( 0.02 )4.15 ( 0.17 )4.61 ( 0.09 )1.45 ( 0.01 )0.47 4.15 4.61 1.45
    54100 100 0.7 1.0 0.05 0.63 ( 0.02 )4.69 ( 0.18 )4.65 ( 0.09 )1.7 ( 0.01 ) 0.63 4.69 4.65 1.70
    70100 100 0.9 1.0 0.09 0.84 ( 0.02 )3.94 ( 0.18 )4.32 ( 0.09 )1.95 ( 0.01 )0.84 3.94 4.32 1.95
    ..........................................
    11500 500 0.1 1.00 0.07 0.06 ( 0 ) 23.98 ( 0.51 )3.3 ( 0.16 ) 0.58 ( 0 ) 0.06 23.90 3.30 0.58
    27500 500 0.3 1.00 0.09 0.23 ( 0 ) 22.67 ( 0.44 )2.42 ( 0.09 ) 1.14 ( 0 ) 0.23 22.60 2.42 1.14
    43500 500 0.5 1.00 0.11 0.41 ( 0 ) 21.23 ( 0.42 )2.01 ( 0.1 ) 1.49 ( 0 ) 0.41 21.20 2.01 1.49
    59500 500 0.7 1.00 0.12 0.57 ( 0.01 ) 20.96 ( 0.41 )1.86 ( 0.09 ) 1.77 ( 0.01 ) 0.57 20.90 1.86 1.77
    75500 500 0.9 1.00 0.12 0.73 ( 0.01 ) 20.83 ( 0.45 )2.04 ( 0.09 ) 2 ( 0.01 ) 0.73 20.80 2.04 2.00
    15500 1000 0.1 2.00 0.02 0.06 ( 0 ) 48.48 ( 0.7 ) 3.65 ( 0.16 ) 0.58 ( 0 ) 0.06 48.40 3.65 0.58
    31500 1000 0.3 2.00 0.04 0.23 ( 0 ) 46.28 ( 0.69 )2.72 ( 0.1 ) 1.19 ( 0 ) 0.23 46.20 2.72 1.19
    47500 1000 0.5 2.00 0.05 0.42 ( 0 ) 45.98 ( 0.68 )2.22 ( 0.09 ) 1.57 ( 0 ) 0.42 45.90 2.22 1.57
    63500 1000 0.7 2.00 0.05 0.6 ( 0.01 ) 47.23 ( 0.73 )2.18 ( 0.1 ) 1.88 ( 0.01 ) 0.60 47.20 2.18 1.88
    79500 1000 0.9 2.00 0.06 0.78 ( 0.01 ) 46.01 ( 0.7 ) 2.14 ( 0.09 ) 2.12 ( 0.01 ) 0.78 46.00 2.14 2.12
    41000 50 0.1 0.05 0.51 0.05 ( 0 ) 2.37 ( 0.16 ) 2.54 ( 0.11 ) 0.55 ( 0 ) 0.05 2.37 2.54 0.55
    201000 50 0.3 0.05 0.84 0.13 ( 0 ) 0.3 ( 0.05 ) 0.69 ( 0.07 ) 0.77 ( 0 ) 0.13 0.30 0.69 0.77
    361000 50 0.5 0.05 0.85 0.2 ( 0 ) 0.24 ( 0.05 ) 0.73 ( 0.07 ) 0.93 ( 0 ) 0.20 0.24 0.73 0.93
    521000 50 0.7 0.05 0.87 0.27 ( 0 ) 0.18 ( 0.05 ) 0.72 ( 0.07 ) 1.06 ( 0 ) 0.27 0.18 0.72 1.06
    681000 50 0.9 0.05 0.86 0.34 ( 0 ) 0.14 ( 0.04 ) 0.86 ( 0.08 ) 1.17 ( 0 ) 0.34 0.14 0.86 1.17
    81000 100 0.1 0.10 0.52 0.05 ( 0 ) 4.65 ( 0.2 ) 1.99 ( 0.13 ) 0.56 ( 0 ) 0.05 4.65 1.99 0.56
    241000 100 0.3 0.10 0.66 0.16 ( 0 ) 1.78 ( 0.13 ) 0.64 ( 0.07 ) 0.86 ( 0 ) 0.16 1.78 0.64 0.86
    401000 100 0.5 0.10 0.73 0.26 ( 0 ) 1.21 ( 0.1 ) 0.6 ( 0.07 ) 1.06 ( 0 ) 0.26 1.21 0.60 1.06
    561000 100 0.7 0.10 0.71 0.35 ( 0 ) 1.47 ( 0.13 ) 0.63 ( 0.06 ) 1.22 ( 0 ) 0.35 1.47 0.63 1.22
    721000 100 0.9 0.10 0.76 0.44 ( 0 ) 1.05 ( 0.11 ) 0.55 ( 0.06 ) 1.36 ( 0 ) 0.44 1.05 0.55 1.36
    121000 500 0.1 0.50 0.17 0.05 ( 0 ) 23.6 ( 0.51 ) 1.93 ( 0.15 ) 0.57 ( 0 ) 0.05 23.60 1.93 0.57
    281000 500 0.3 0.50 0.16 0.22 ( 0 ) 19.38 ( 0.47 )1.14 ( 0.07 ) 1.11 ( 0 ) 0.22 19.30 1.14 1.11
    441000 500 0.5 0.50 0.17 0.37 ( 0 ) 18.91 ( 0.41 )0.96 ( 0.07 ) 1.44 ( 0 ) 0.37 18.90 0.96 1.44
    601000 500 0.7 0.50 0.17 0.52 ( 0 ) 18.88 ( 0.46 )1.01 ( 0.08 ) 1.7 ( 0 ) 0.52 18.80 1.01 1.70
    761000 500 0.9 0.50 0.18 0.68 ( 0.01 ) 18.47 ( 0.43 )1 ( 0.07 ) 1.92 ( 0 ) 0.68 18.40 0.00 1.92
    161000 1000 0.1 1.00 0.07 0.05 ( 0 ) 47.72 ( 0.68 )2.25 ( 0.14 ) 0.58 ( 0 ) 0.05 47.70 2.25 0.58
    321000 1000 0.3 1.00 0.07 0.23 ( 0 ) 44.67 ( 0.68 )1.33 ( 0.08 ) 1.17 ( 0 ) 0.23 44.60 1.33 1.17
    481000 1000 0.5 1.00 0.08 0.4 ( 0 ) 44.42 ( 0.63 )1.13 ( 0.07 ) 1.53 ( 0 ) 0.40 44.40 1.13 1.53
    641000 1000 0.7 1.00 0.08 0.57 ( 0 ) 43.91 ( 0.67 )1.1 ( 0.08 ) 1.82 ( 0 ) 0.57 43.90 1.10 1.82
    801000 1000 0.9 1.00 0.08 0.74 ( 0.01 ) 43.05 ( 0.72 )1.17 ( 0.08 ) 2.07 ( 0 ) 0.74 43.00 1.17 2.07
    \n" + ], + "text/latex": [ + "\\begin{tabular}{r|lllllllllllll}\n", + " & N & P & Corr & Ratio & Stab & MSE & FP & FN & OOB & MSE\\_mean & FP\\_mean & FN\\_mean & OOB\\_mean\\\\\n", + "\\hline\n", + "\t1 & 50 & 50 & 0.1 & 1.0 & 0.00 & 0.08 ( 0 ) & 1 ( 0 ) & 6 ( 0 ) & 0.59 ( 0.01 ) & 0.08 & 1.00 & 0.00 & 0.59 \\\\\n", + "\t17 & 50 & 50 & 0.3 & 1.0 & 0.00 & 0.31 ( 0.01 ) & 1 ( 0 ) & 6 ( 0 ) & 1.14 ( 0.01 ) & 0.31 & 1.00 & 0.00 & 1.14 \\\\\n", + "\t33 & 50 & 50 & 0.5 & 1.0 & 0.00 & 0.6 ( 0.03 ) & 1 ( 0 ) & 6 ( 0 ) & 1.46 ( 0.01 ) & 0.60 & 1.00 & 0.00 & 1.46 \\\\\n", + "\t49 & 50 & 50 & 0.7 & 1.0 & 0.00 & 0.8 ( 0.04 ) & 1 ( 0 ) & 6 ( 0 ) & 1.72 ( 0.02 ) & 0.80 & 1.00 & 0.00 & 1.72 \\\\\n", + "\t65 & 50 & 50 & 0.9 & 1.0 & 0.00 & 1.1 ( 0.04 ) & 1 ( 0 ) & 6 ( 0 ) & 1.99 ( 0.02 ) & 1.10 & 1.00 & 0.00 & 1.99 \\\\\n", + "\t5 & 50 & 100 & 0.1 & 2.0 & 0.00 & 0.08 ( 0 ) & 1 ( 0 ) & 6 ( 0 ) & 0.6 ( 0.01 ) & 0.08 & 1.00 & 0.00 & 0.60 \\\\\n", + "\t21 & 50 & 100 & 0.3 & 2.0 & 0.00 & 0.32 ( 0.01 ) & 1 ( 0 ) & 6 ( 0 ) & 1.2 ( 0.01 ) & 0.32 & 1.00 & 0.00 & 1.20 \\\\\n", + "\t37 & 50 & 100 & 0.5 & 2.0 & 0.00 & 0.6 ( 0.02 ) & 1 ( 0 ) & 6 ( 0 ) & 1.56 ( 0.01 ) & 0.60 & 1.00 & 0.00 & 1.56 \\\\\n", + "\t53 & 50 & 100 & 0.7 & 2.0 & 0.00 & 0.92 ( 0.04 ) & 1 ( 0 ) & 6 ( 0 ) & 1.85 ( 0.02 ) & 0.92 & 1.00 & 0.00 & 1.85 \\\\\n", + "\t69 & 50 & 100 & 0.9 & 2.0 & 0.00 & 1.11 ( 0.05 ) & 1 ( 0 ) & 6 ( 0 ) & 2.06 ( 0.02 ) & 1.11 & 1.00 & 0.00 & 2.06 \\\\\n", + "\t9 & 50 & 500 & 0.1 & 10.0 & 0.00 & 0.08 ( 0 ) & 1 ( 0 ) & 6 ( 0 ) & 0.59 ( 0.01 ) & 0.08 & 1.00 & 0.00 & 0.59 \\\\\n", + "\t25 & 50 & 500 & 0.3 & 10.0 & 0.00 & 0.36 ( 0.02 ) & 1 ( 0 ) & 6 ( 0 ) & 1.23 ( 0.01 ) & 0.36 & 1.00 & 0.00 & 1.23 \\\\\n", + "\t41 & 50 & 500 & 0.5 & 10.0 & 0.00 & 0.58 ( 0.02 ) & 1 ( 0 ) & 6 ( 0 ) & 1.64 ( 0.02 ) & 0.58 & 1.00 & 0.00 & 1.64 \\\\\n", + "\t57 & 50 & 500 & 0.7 & 10.0 & 0.00 & 0.91 ( 0.04 ) & 1 ( 0 ) & 6 ( 0 ) & 2 ( 0.02 ) & 0.91 & 1.00 & 0.00 & 2.00 \\\\\n", + "\t73 & 50 & 500 & 0.9 & 10.0 & 0.00 & 1.18 ( 0.05 ) & 1 ( 0 ) & 6 ( 0 ) & 2.2 ( 0.02 ) & 1.18 & 1.00 & 0.00 & 2.20 \\\\\n", + "\t13 & 50 & 1000 & 0.1 & 20.0 & 0.00 & 0.08 ( 0 ) & 1 ( 0 ) & 6 ( 0 ) & 0.59 ( 0.01 ) & 0.08 & 1.00 & 0.00 & 0.59 \\\\\n", + "\t29 & 50 & 1000 & 0.3 & 20.0 & 0.00 & 0.34 ( 0.01 ) & 1 ( 0 ) & 6 ( 0 ) & 1.26 ( 0.01 ) & 0.34 & 1.00 & 0.00 & 1.26 \\\\\n", + "\t45 & 50 & 1000 & 0.5 & 20.0 & 0.00 & 0.57 ( 0.02 ) & 1 ( 0 ) & 6 ( 0 ) & 1.64 ( 0.02 ) & 0.57 & 1.00 & 0.00 & 1.64 \\\\\n", + "\t61 & 50 & 1000 & 0.7 & 20.0 & 0.00 & 0.91 ( 0.04 ) & 1 ( 0 ) & 6 ( 0 ) & 1.98 ( 0.02 ) & 0.91 & 1.00 & 0.00 & 1.98 \\\\\n", + "\t77 & 50 & 1000 & 0.9 & 20.0 & 0.00 & 1.22 ( 0.05 ) & 1 ( 0 ) & 6 ( 0 ) & 2.3 ( 0.03 ) & 1.22 & 1.00 & 0.00 & 2.30 \\\\\n", + "\t2 & 100 & 50 & 0.1 & 0.5 & 0.03 & 0.07 ( 0 ) & 2.26 ( 0.17 ) & 5.06 ( 0.12 ) & 0.58 ( 0 ) & 0.07 & 2.26 & 5.06 & 0.58 \\\\\n", + "\t18 & 100 & 50 & 0.3 & 0.5 & 0.05 & 0.25 ( 0.01 ) & 1.97 ( 0.13 ) & 4.84 ( 0.08 ) & 1.05 ( 0.01 ) & 0.25 & 1.97 & 4.84 & 1.05 \\\\\n", + "\t34 & 100 & 50 & 0.5 & 0.5 & 0.09 & 0.42 ( 0.01 ) & 1.75 ( 0.14 ) & 4.6 ( 0.09 ) & 1.33 ( 0.01 ) & 0.42 & 1.75 & 4.60 & 1.33 \\\\\n", + "\t50 & 100 & 50 & 0.7 & 0.5 & 0.11 & 0.59 ( 0.02 ) & 1.85 ( 0.14 ) & 4.52 ( 0.08 ) & 1.57 ( 0.01 ) & 0.59 & 1.85 & 4.52 & 1.57 \\\\\n", + "\t66 & 100 & 50 & 0.9 & 0.5 & 0.16 & 0.78 ( 0.02 ) & 1.56 ( 0.11 ) & 4.38 ( 0.09 ) & 1.78 ( 0.01 ) & 0.78 & 1.56 & 4.38 & 1.78 \\\\\n", + "\t6 & 100 & 100 & 0.1 & 1.0 & 0.01 & 0.07 ( 0 ) & 4.76 ( 0.27 ) & 5.51 ( 0.09 ) & 0.58 ( 0 ) & 0.07 & 4.76 & 5.51 & 0.58 \\\\\n", + "\t22 & 100 & 100 & 0.3 & 1.0 & 0.05 & 0.25 ( 0.01 ) & 4.14 ( 0.18 ) & 4.63 ( 0.1 ) & 1.14 ( 0.01 ) & 0.25 & 4.14 & 4.63 & 1.14 \\\\\n", + "\t38 & 100 & 100 & 0.5 & 1.0 & 0.06 & 0.47 ( 0.02 ) & 4.15 ( 0.17 ) & 4.61 ( 0.09 ) & 1.45 ( 0.01 ) & 0.47 & 4.15 & 4.61 & 1.45 \\\\\n", + "\t54 & 100 & 100 & 0.7 & 1.0 & 0.05 & 0.63 ( 0.02 ) & 4.69 ( 0.18 ) & 4.65 ( 0.09 ) & 1.7 ( 0.01 ) & 0.63 & 4.69 & 4.65 & 1.70 \\\\\n", + "\t70 & 100 & 100 & 0.9 & 1.0 & 0.09 & 0.84 ( 0.02 ) & 3.94 ( 0.18 ) & 4.32 ( 0.09 ) & 1.95 ( 0.01 ) & 0.84 & 3.94 & 4.32 & 1.95 \\\\\n", + "\t... & ... & ... & ... & ... & ... & ... & ... & ... & ... & ... & ... & ... & ...\\\\\n", + "\t11 & 500 & 500 & 0.1 & 1.00 & 0.07 & 0.06 ( 0 ) & 23.98 ( 0.51 ) & 3.3 ( 0.16 ) & 0.58 ( 0 ) & 0.06 & 23.90 & 3.30 & 0.58 \\\\\n", + "\t27 & 500 & 500 & 0.3 & 1.00 & 0.09 & 0.23 ( 0 ) & 22.67 ( 0.44 ) & 2.42 ( 0.09 ) & 1.14 ( 0 ) & 0.23 & 22.60 & 2.42 & 1.14 \\\\\n", + "\t43 & 500 & 500 & 0.5 & 1.00 & 0.11 & 0.41 ( 0 ) & 21.23 ( 0.42 ) & 2.01 ( 0.1 ) & 1.49 ( 0 ) & 0.41 & 21.20 & 2.01 & 1.49 \\\\\n", + "\t59 & 500 & 500 & 0.7 & 1.00 & 0.12 & 0.57 ( 0.01 ) & 20.96 ( 0.41 ) & 1.86 ( 0.09 ) & 1.77 ( 0.01 ) & 0.57 & 20.90 & 1.86 & 1.77 \\\\\n", + "\t75 & 500 & 500 & 0.9 & 1.00 & 0.12 & 0.73 ( 0.01 ) & 20.83 ( 0.45 ) & 2.04 ( 0.09 ) & 2 ( 0.01 ) & 0.73 & 20.80 & 2.04 & 2.00 \\\\\n", + "\t15 & 500 & 1000 & 0.1 & 2.00 & 0.02 & 0.06 ( 0 ) & 48.48 ( 0.7 ) & 3.65 ( 0.16 ) & 0.58 ( 0 ) & 0.06 & 48.40 & 3.65 & 0.58 \\\\\n", + "\t31 & 500 & 1000 & 0.3 & 2.00 & 0.04 & 0.23 ( 0 ) & 46.28 ( 0.69 ) & 2.72 ( 0.1 ) & 1.19 ( 0 ) & 0.23 & 46.20 & 2.72 & 1.19 \\\\\n", + "\t47 & 500 & 1000 & 0.5 & 2.00 & 0.05 & 0.42 ( 0 ) & 45.98 ( 0.68 ) & 2.22 ( 0.09 ) & 1.57 ( 0 ) & 0.42 & 45.90 & 2.22 & 1.57 \\\\\n", + "\t63 & 500 & 1000 & 0.7 & 2.00 & 0.05 & 0.6 ( 0.01 ) & 47.23 ( 0.73 ) & 2.18 ( 0.1 ) & 1.88 ( 0.01 ) & 0.60 & 47.20 & 2.18 & 1.88 \\\\\n", + "\t79 & 500 & 1000 & 0.9 & 2.00 & 0.06 & 0.78 ( 0.01 ) & 46.01 ( 0.7 ) & 2.14 ( 0.09 ) & 2.12 ( 0.01 ) & 0.78 & 46.00 & 2.14 & 2.12 \\\\\n", + "\t4 & 1000 & 50 & 0.1 & 0.05 & 0.51 & 0.05 ( 0 ) & 2.37 ( 0.16 ) & 2.54 ( 0.11 ) & 0.55 ( 0 ) & 0.05 & 2.37 & 2.54 & 0.55 \\\\\n", + "\t20 & 1000 & 50 & 0.3 & 0.05 & 0.84 & 0.13 ( 0 ) & 0.3 ( 0.05 ) & 0.69 ( 0.07 ) & 0.77 ( 0 ) & 0.13 & 0.30 & 0.69 & 0.77 \\\\\n", + "\t36 & 1000 & 50 & 0.5 & 0.05 & 0.85 & 0.2 ( 0 ) & 0.24 ( 0.05 ) & 0.73 ( 0.07 ) & 0.93 ( 0 ) & 0.20 & 0.24 & 0.73 & 0.93 \\\\\n", + "\t52 & 1000 & 50 & 0.7 & 0.05 & 0.87 & 0.27 ( 0 ) & 0.18 ( 0.05 ) & 0.72 ( 0.07 ) & 1.06 ( 0 ) & 0.27 & 0.18 & 0.72 & 1.06 \\\\\n", + "\t68 & 1000 & 50 & 0.9 & 0.05 & 0.86 & 0.34 ( 0 ) & 0.14 ( 0.04 ) & 0.86 ( 0.08 ) & 1.17 ( 0 ) & 0.34 & 0.14 & 0.86 & 1.17 \\\\\n", + "\t8 & 1000 & 100 & 0.1 & 0.10 & 0.52 & 0.05 ( 0 ) & 4.65 ( 0.2 ) & 1.99 ( 0.13 ) & 0.56 ( 0 ) & 0.05 & 4.65 & 1.99 & 0.56 \\\\\n", + "\t24 & 1000 & 100 & 0.3 & 0.10 & 0.66 & 0.16 ( 0 ) & 1.78 ( 0.13 ) & 0.64 ( 0.07 ) & 0.86 ( 0 ) & 0.16 & 1.78 & 0.64 & 0.86 \\\\\n", + "\t40 & 1000 & 100 & 0.5 & 0.10 & 0.73 & 0.26 ( 0 ) & 1.21 ( 0.1 ) & 0.6 ( 0.07 ) & 1.06 ( 0 ) & 0.26 & 1.21 & 0.60 & 1.06 \\\\\n", + "\t56 & 1000 & 100 & 0.7 & 0.10 & 0.71 & 0.35 ( 0 ) & 1.47 ( 0.13 ) & 0.63 ( 0.06 ) & 1.22 ( 0 ) & 0.35 & 1.47 & 0.63 & 1.22 \\\\\n", + "\t72 & 1000 & 100 & 0.9 & 0.10 & 0.76 & 0.44 ( 0 ) & 1.05 ( 0.11 ) & 0.55 ( 0.06 ) & 1.36 ( 0 ) & 0.44 & 1.05 & 0.55 & 1.36 \\\\\n", + "\t12 & 1000 & 500 & 0.1 & 0.50 & 0.17 & 0.05 ( 0 ) & 23.6 ( 0.51 ) & 1.93 ( 0.15 ) & 0.57 ( 0 ) & 0.05 & 23.60 & 1.93 & 0.57 \\\\\n", + "\t28 & 1000 & 500 & 0.3 & 0.50 & 0.16 & 0.22 ( 0 ) & 19.38 ( 0.47 ) & 1.14 ( 0.07 ) & 1.11 ( 0 ) & 0.22 & 19.30 & 1.14 & 1.11 \\\\\n", + "\t44 & 1000 & 500 & 0.5 & 0.50 & 0.17 & 0.37 ( 0 ) & 18.91 ( 0.41 ) & 0.96 ( 0.07 ) & 1.44 ( 0 ) & 0.37 & 18.90 & 0.96 & 1.44 \\\\\n", + "\t60 & 1000 & 500 & 0.7 & 0.50 & 0.17 & 0.52 ( 0 ) & 18.88 ( 0.46 ) & 1.01 ( 0.08 ) & 1.7 ( 0 ) & 0.52 & 18.80 & 1.01 & 1.70 \\\\\n", + "\t76 & 1000 & 500 & 0.9 & 0.50 & 0.18 & 0.68 ( 0.01 ) & 18.47 ( 0.43 ) & 1 ( 0.07 ) & 1.92 ( 0 ) & 0.68 & 18.40 & 0.00 & 1.92 \\\\\n", + "\t16 & 1000 & 1000 & 0.1 & 1.00 & 0.07 & 0.05 ( 0 ) & 47.72 ( 0.68 ) & 2.25 ( 0.14 ) & 0.58 ( 0 ) & 0.05 & 47.70 & 2.25 & 0.58 \\\\\n", + "\t32 & 1000 & 1000 & 0.3 & 1.00 & 0.07 & 0.23 ( 0 ) & 44.67 ( 0.68 ) & 1.33 ( 0.08 ) & 1.17 ( 0 ) & 0.23 & 44.60 & 1.33 & 1.17 \\\\\n", + "\t48 & 1000 & 1000 & 0.5 & 1.00 & 0.08 & 0.4 ( 0 ) & 44.42 ( 0.63 ) & 1.13 ( 0.07 ) & 1.53 ( 0 ) & 0.40 & 44.40 & 1.13 & 1.53 \\\\\n", + "\t64 & 1000 & 1000 & 0.7 & 1.00 & 0.08 & 0.57 ( 0 ) & 43.91 ( 0.67 ) & 1.1 ( 0.08 ) & 1.82 ( 0 ) & 0.57 & 43.90 & 1.10 & 1.82 \\\\\n", + "\t80 & 1000 & 1000 & 0.9 & 1.00 & 0.08 & 0.74 ( 0.01 ) & 43.05 ( 0.72 ) & 1.17 ( 0.08 ) & 2.07 ( 0 ) & 0.74 & 43.00 & 1.17 & 2.07 \\\\\n", + "\\end{tabular}\n" + ], + "text/markdown": [ + "\n", + "| | N | P | Corr | Ratio | Stab | MSE | FP | FN | OOB | MSE_mean | FP_mean | FN_mean | OOB_mean |\n", + "|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n", + "| 1 | 50 | 50 | 0.1 | 1.0 | 0.00 | 0.08 ( 0 ) | 1 ( 0 ) | 6 ( 0 ) | 0.59 ( 0.01 ) | 0.08 | 1.00 | 0.00 | 0.59 |\n", + "| 17 | 50 | 50 | 0.3 | 1.0 | 0.00 | 0.31 ( 0.01 ) | 1 ( 0 ) | 6 ( 0 ) | 1.14 ( 0.01 ) | 0.31 | 1.00 | 0.00 | 1.14 |\n", + "| 33 | 50 | 50 | 0.5 | 1.0 | 0.00 | 0.6 ( 0.03 ) | 1 ( 0 ) | 6 ( 0 ) | 1.46 ( 0.01 ) | 0.60 | 1.00 | 0.00 | 1.46 |\n", + "| 49 | 50 | 50 | 0.7 | 1.0 | 0.00 | 0.8 ( 0.04 ) | 1 ( 0 ) | 6 ( 0 ) | 1.72 ( 0.02 ) | 0.80 | 1.00 | 0.00 | 1.72 |\n", + "| 65 | 50 | 50 | 0.9 | 1.0 | 0.00 | 1.1 ( 0.04 ) | 1 ( 0 ) | 6 ( 0 ) | 1.99 ( 0.02 ) | 1.10 | 1.00 | 0.00 | 1.99 |\n", + "| 5 | 50 | 100 | 0.1 | 2.0 | 0.00 | 0.08 ( 0 ) | 1 ( 0 ) | 6 ( 0 ) | 0.6 ( 0.01 ) | 0.08 | 1.00 | 0.00 | 0.60 |\n", + "| 21 | 50 | 100 | 0.3 | 2.0 | 0.00 | 0.32 ( 0.01 ) | 1 ( 0 ) | 6 ( 0 ) | 1.2 ( 0.01 ) | 0.32 | 1.00 | 0.00 | 1.20 |\n", + "| 37 | 50 | 100 | 0.5 | 2.0 | 0.00 | 0.6 ( 0.02 ) | 1 ( 0 ) | 6 ( 0 ) | 1.56 ( 0.01 ) | 0.60 | 1.00 | 0.00 | 1.56 |\n", + "| 53 | 50 | 100 | 0.7 | 2.0 | 0.00 | 0.92 ( 0.04 ) | 1 ( 0 ) | 6 ( 0 ) | 1.85 ( 0.02 ) | 0.92 | 1.00 | 0.00 | 1.85 |\n", + "| 69 | 50 | 100 | 0.9 | 2.0 | 0.00 | 1.11 ( 0.05 ) | 1 ( 0 ) | 6 ( 0 ) | 2.06 ( 0.02 ) | 1.11 | 1.00 | 0.00 | 2.06 |\n", + "| 9 | 50 | 500 | 0.1 | 10.0 | 0.00 | 0.08 ( 0 ) | 1 ( 0 ) | 6 ( 0 ) | 0.59 ( 0.01 ) | 0.08 | 1.00 | 0.00 | 0.59 |\n", + "| 25 | 50 | 500 | 0.3 | 10.0 | 0.00 | 0.36 ( 0.02 ) | 1 ( 0 ) | 6 ( 0 ) | 1.23 ( 0.01 ) | 0.36 | 1.00 | 0.00 | 1.23 |\n", + "| 41 | 50 | 500 | 0.5 | 10.0 | 0.00 | 0.58 ( 0.02 ) | 1 ( 0 ) | 6 ( 0 ) | 1.64 ( 0.02 ) | 0.58 | 1.00 | 0.00 | 1.64 |\n", + "| 57 | 50 | 500 | 0.7 | 10.0 | 0.00 | 0.91 ( 0.04 ) | 1 ( 0 ) | 6 ( 0 ) | 2 ( 0.02 ) | 0.91 | 1.00 | 0.00 | 2.00 |\n", + "| 73 | 50 | 500 | 0.9 | 10.0 | 0.00 | 1.18 ( 0.05 ) | 1 ( 0 ) | 6 ( 0 ) | 2.2 ( 0.02 ) | 1.18 | 1.00 | 0.00 | 2.20 |\n", + "| 13 | 50 | 1000 | 0.1 | 20.0 | 0.00 | 0.08 ( 0 ) | 1 ( 0 ) | 6 ( 0 ) | 0.59 ( 0.01 ) | 0.08 | 1.00 | 0.00 | 0.59 |\n", + "| 29 | 50 | 1000 | 0.3 | 20.0 | 0.00 | 0.34 ( 0.01 ) | 1 ( 0 ) | 6 ( 0 ) | 1.26 ( 0.01 ) | 0.34 | 1.00 | 0.00 | 1.26 |\n", + "| 45 | 50 | 1000 | 0.5 | 20.0 | 0.00 | 0.57 ( 0.02 ) | 1 ( 0 ) | 6 ( 0 ) | 1.64 ( 0.02 ) | 0.57 | 1.00 | 0.00 | 1.64 |\n", + "| 61 | 50 | 1000 | 0.7 | 20.0 | 0.00 | 0.91 ( 0.04 ) | 1 ( 0 ) | 6 ( 0 ) | 1.98 ( 0.02 ) | 0.91 | 1.00 | 0.00 | 1.98 |\n", + "| 77 | 50 | 1000 | 0.9 | 20.0 | 0.00 | 1.22 ( 0.05 ) | 1 ( 0 ) | 6 ( 0 ) | 2.3 ( 0.03 ) | 1.22 | 1.00 | 0.00 | 2.30 |\n", + "| 2 | 100 | 50 | 0.1 | 0.5 | 0.03 | 0.07 ( 0 ) | 2.26 ( 0.17 ) | 5.06 ( 0.12 ) | 0.58 ( 0 ) | 0.07 | 2.26 | 5.06 | 0.58 |\n", + "| 18 | 100 | 50 | 0.3 | 0.5 | 0.05 | 0.25 ( 0.01 ) | 1.97 ( 0.13 ) | 4.84 ( 0.08 ) | 1.05 ( 0.01 ) | 0.25 | 1.97 | 4.84 | 1.05 |\n", + "| 34 | 100 | 50 | 0.5 | 0.5 | 0.09 | 0.42 ( 0.01 ) | 1.75 ( 0.14 ) | 4.6 ( 0.09 ) | 1.33 ( 0.01 ) | 0.42 | 1.75 | 4.60 | 1.33 |\n", + "| 50 | 100 | 50 | 0.7 | 0.5 | 0.11 | 0.59 ( 0.02 ) | 1.85 ( 0.14 ) | 4.52 ( 0.08 ) | 1.57 ( 0.01 ) | 0.59 | 1.85 | 4.52 | 1.57 |\n", + "| 66 | 100 | 50 | 0.9 | 0.5 | 0.16 | 0.78 ( 0.02 ) | 1.56 ( 0.11 ) | 4.38 ( 0.09 ) | 1.78 ( 0.01 ) | 0.78 | 1.56 | 4.38 | 1.78 |\n", + "| 6 | 100 | 100 | 0.1 | 1.0 | 0.01 | 0.07 ( 0 ) | 4.76 ( 0.27 ) | 5.51 ( 0.09 ) | 0.58 ( 0 ) | 0.07 | 4.76 | 5.51 | 0.58 |\n", + "| 22 | 100 | 100 | 0.3 | 1.0 | 0.05 | 0.25 ( 0.01 ) | 4.14 ( 0.18 ) | 4.63 ( 0.1 ) | 1.14 ( 0.01 ) | 0.25 | 4.14 | 4.63 | 1.14 |\n", + "| 38 | 100 | 100 | 0.5 | 1.0 | 0.06 | 0.47 ( 0.02 ) | 4.15 ( 0.17 ) | 4.61 ( 0.09 ) | 1.45 ( 0.01 ) | 0.47 | 4.15 | 4.61 | 1.45 |\n", + "| 54 | 100 | 100 | 0.7 | 1.0 | 0.05 | 0.63 ( 0.02 ) | 4.69 ( 0.18 ) | 4.65 ( 0.09 ) | 1.7 ( 0.01 ) | 0.63 | 4.69 | 4.65 | 1.70 |\n", + "| 70 | 100 | 100 | 0.9 | 1.0 | 0.09 | 0.84 ( 0.02 ) | 3.94 ( 0.18 ) | 4.32 ( 0.09 ) | 1.95 ( 0.01 ) | 0.84 | 3.94 | 4.32 | 1.95 |\n", + "| ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... |\n", + "| 11 | 500 | 500 | 0.1 | 1.00 | 0.07 | 0.06 ( 0 ) | 23.98 ( 0.51 ) | 3.3 ( 0.16 ) | 0.58 ( 0 ) | 0.06 | 23.90 | 3.30 | 0.58 |\n", + "| 27 | 500 | 500 | 0.3 | 1.00 | 0.09 | 0.23 ( 0 ) | 22.67 ( 0.44 ) | 2.42 ( 0.09 ) | 1.14 ( 0 ) | 0.23 | 22.60 | 2.42 | 1.14 |\n", + "| 43 | 500 | 500 | 0.5 | 1.00 | 0.11 | 0.41 ( 0 ) | 21.23 ( 0.42 ) | 2.01 ( 0.1 ) | 1.49 ( 0 ) | 0.41 | 21.20 | 2.01 | 1.49 |\n", + "| 59 | 500 | 500 | 0.7 | 1.00 | 0.12 | 0.57 ( 0.01 ) | 20.96 ( 0.41 ) | 1.86 ( 0.09 ) | 1.77 ( 0.01 ) | 0.57 | 20.90 | 1.86 | 1.77 |\n", + "| 75 | 500 | 500 | 0.9 | 1.00 | 0.12 | 0.73 ( 0.01 ) | 20.83 ( 0.45 ) | 2.04 ( 0.09 ) | 2 ( 0.01 ) | 0.73 | 20.80 | 2.04 | 2.00 |\n", + "| 15 | 500 | 1000 | 0.1 | 2.00 | 0.02 | 0.06 ( 0 ) | 48.48 ( 0.7 ) | 3.65 ( 0.16 ) | 0.58 ( 0 ) | 0.06 | 48.40 | 3.65 | 0.58 |\n", + "| 31 | 500 | 1000 | 0.3 | 2.00 | 0.04 | 0.23 ( 0 ) | 46.28 ( 0.69 ) | 2.72 ( 0.1 ) | 1.19 ( 0 ) | 0.23 | 46.20 | 2.72 | 1.19 |\n", + "| 47 | 500 | 1000 | 0.5 | 2.00 | 0.05 | 0.42 ( 0 ) | 45.98 ( 0.68 ) | 2.22 ( 0.09 ) | 1.57 ( 0 ) | 0.42 | 45.90 | 2.22 | 1.57 |\n", + "| 63 | 500 | 1000 | 0.7 | 2.00 | 0.05 | 0.6 ( 0.01 ) | 47.23 ( 0.73 ) | 2.18 ( 0.1 ) | 1.88 ( 0.01 ) | 0.60 | 47.20 | 2.18 | 1.88 |\n", + "| 79 | 500 | 1000 | 0.9 | 2.00 | 0.06 | 0.78 ( 0.01 ) | 46.01 ( 0.7 ) | 2.14 ( 0.09 ) | 2.12 ( 0.01 ) | 0.78 | 46.00 | 2.14 | 2.12 |\n", + "| 4 | 1000 | 50 | 0.1 | 0.05 | 0.51 | 0.05 ( 0 ) | 2.37 ( 0.16 ) | 2.54 ( 0.11 ) | 0.55 ( 0 ) | 0.05 | 2.37 | 2.54 | 0.55 |\n", + "| 20 | 1000 | 50 | 0.3 | 0.05 | 0.84 | 0.13 ( 0 ) | 0.3 ( 0.05 ) | 0.69 ( 0.07 ) | 0.77 ( 0 ) | 0.13 | 0.30 | 0.69 | 0.77 |\n", + "| 36 | 1000 | 50 | 0.5 | 0.05 | 0.85 | 0.2 ( 0 ) | 0.24 ( 0.05 ) | 0.73 ( 0.07 ) | 0.93 ( 0 ) | 0.20 | 0.24 | 0.73 | 0.93 |\n", + "| 52 | 1000 | 50 | 0.7 | 0.05 | 0.87 | 0.27 ( 0 ) | 0.18 ( 0.05 ) | 0.72 ( 0.07 ) | 1.06 ( 0 ) | 0.27 | 0.18 | 0.72 | 1.06 |\n", + "| 68 | 1000 | 50 | 0.9 | 0.05 | 0.86 | 0.34 ( 0 ) | 0.14 ( 0.04 ) | 0.86 ( 0.08 ) | 1.17 ( 0 ) | 0.34 | 0.14 | 0.86 | 1.17 |\n", + "| 8 | 1000 | 100 | 0.1 | 0.10 | 0.52 | 0.05 ( 0 ) | 4.65 ( 0.2 ) | 1.99 ( 0.13 ) | 0.56 ( 0 ) | 0.05 | 4.65 | 1.99 | 0.56 |\n", + "| 24 | 1000 | 100 | 0.3 | 0.10 | 0.66 | 0.16 ( 0 ) | 1.78 ( 0.13 ) | 0.64 ( 0.07 ) | 0.86 ( 0 ) | 0.16 | 1.78 | 0.64 | 0.86 |\n", + "| 40 | 1000 | 100 | 0.5 | 0.10 | 0.73 | 0.26 ( 0 ) | 1.21 ( 0.1 ) | 0.6 ( 0.07 ) | 1.06 ( 0 ) | 0.26 | 1.21 | 0.60 | 1.06 |\n", + "| 56 | 1000 | 100 | 0.7 | 0.10 | 0.71 | 0.35 ( 0 ) | 1.47 ( 0.13 ) | 0.63 ( 0.06 ) | 1.22 ( 0 ) | 0.35 | 1.47 | 0.63 | 1.22 |\n", + "| 72 | 1000 | 100 | 0.9 | 0.10 | 0.76 | 0.44 ( 0 ) | 1.05 ( 0.11 ) | 0.55 ( 0.06 ) | 1.36 ( 0 ) | 0.44 | 1.05 | 0.55 | 1.36 |\n", + "| 12 | 1000 | 500 | 0.1 | 0.50 | 0.17 | 0.05 ( 0 ) | 23.6 ( 0.51 ) | 1.93 ( 0.15 ) | 0.57 ( 0 ) | 0.05 | 23.60 | 1.93 | 0.57 |\n", + "| 28 | 1000 | 500 | 0.3 | 0.50 | 0.16 | 0.22 ( 0 ) | 19.38 ( 0.47 ) | 1.14 ( 0.07 ) | 1.11 ( 0 ) | 0.22 | 19.30 | 1.14 | 1.11 |\n", + "| 44 | 1000 | 500 | 0.5 | 0.50 | 0.17 | 0.37 ( 0 ) | 18.91 ( 0.41 ) | 0.96 ( 0.07 ) | 1.44 ( 0 ) | 0.37 | 18.90 | 0.96 | 1.44 |\n", + "| 60 | 1000 | 500 | 0.7 | 0.50 | 0.17 | 0.52 ( 0 ) | 18.88 ( 0.46 ) | 1.01 ( 0.08 ) | 1.7 ( 0 ) | 0.52 | 18.80 | 1.01 | 1.70 |\n", + "| 76 | 1000 | 500 | 0.9 | 0.50 | 0.18 | 0.68 ( 0.01 ) | 18.47 ( 0.43 ) | 1 ( 0.07 ) | 1.92 ( 0 ) | 0.68 | 18.40 | 0.00 | 1.92 |\n", + "| 16 | 1000 | 1000 | 0.1 | 1.00 | 0.07 | 0.05 ( 0 ) | 47.72 ( 0.68 ) | 2.25 ( 0.14 ) | 0.58 ( 0 ) | 0.05 | 47.70 | 2.25 | 0.58 |\n", + "| 32 | 1000 | 1000 | 0.3 | 1.00 | 0.07 | 0.23 ( 0 ) | 44.67 ( 0.68 ) | 1.33 ( 0.08 ) | 1.17 ( 0 ) | 0.23 | 44.60 | 1.33 | 1.17 |\n", + "| 48 | 1000 | 1000 | 0.5 | 1.00 | 0.08 | 0.4 ( 0 ) | 44.42 ( 0.63 ) | 1.13 ( 0.07 ) | 1.53 ( 0 ) | 0.40 | 44.40 | 1.13 | 1.53 |\n", + "| 64 | 1000 | 1000 | 0.7 | 1.00 | 0.08 | 0.57 ( 0 ) | 43.91 ( 0.67 ) | 1.1 ( 0.08 ) | 1.82 ( 0 ) | 0.57 | 43.90 | 1.10 | 1.82 |\n", + "| 80 | 1000 | 1000 | 0.9 | 1.00 | 0.08 | 0.74 ( 0.01 ) | 43.05 ( 0.72 ) | 1.17 ( 0.08 ) | 2.07 ( 0 ) | 0.74 | 43.00 | 1.17 | 2.07 |\n", + "\n" + ], + "text/plain": [ + " N P Corr Ratio Stab MSE FP FN \n", + "1 50 50 0.1 1.0 0.00 0.08 ( 0 ) 1 ( 0 ) 6 ( 0 ) \n", + "17 50 50 0.3 1.0 0.00 0.31 ( 0.01 ) 1 ( 0 ) 6 ( 0 ) \n", + "33 50 50 0.5 1.0 0.00 0.6 ( 0.03 ) 1 ( 0 ) 6 ( 0 ) \n", + "49 50 50 0.7 1.0 0.00 0.8 ( 0.04 ) 1 ( 0 ) 6 ( 0 ) \n", + "65 50 50 0.9 1.0 0.00 1.1 ( 0.04 ) 1 ( 0 ) 6 ( 0 ) \n", + "5 50 100 0.1 2.0 0.00 0.08 ( 0 ) 1 ( 0 ) 6 ( 0 ) \n", + "21 50 100 0.3 2.0 0.00 0.32 ( 0.01 ) 1 ( 0 ) 6 ( 0 ) \n", + "37 50 100 0.5 2.0 0.00 0.6 ( 0.02 ) 1 ( 0 ) 6 ( 0 ) \n", + "53 50 100 0.7 2.0 0.00 0.92 ( 0.04 ) 1 ( 0 ) 6 ( 0 ) \n", + "69 50 100 0.9 2.0 0.00 1.11 ( 0.05 ) 1 ( 0 ) 6 ( 0 ) \n", + "9 50 500 0.1 10.0 0.00 0.08 ( 0 ) 1 ( 0 ) 6 ( 0 ) \n", + "25 50 500 0.3 10.0 0.00 0.36 ( 0.02 ) 1 ( 0 ) 6 ( 0 ) \n", + "41 50 500 0.5 10.0 0.00 0.58 ( 0.02 ) 1 ( 0 ) 6 ( 0 ) \n", + "57 50 500 0.7 10.0 0.00 0.91 ( 0.04 ) 1 ( 0 ) 6 ( 0 ) \n", + "73 50 500 0.9 10.0 0.00 1.18 ( 0.05 ) 1 ( 0 ) 6 ( 0 ) \n", + "13 50 1000 0.1 20.0 0.00 0.08 ( 0 ) 1 ( 0 ) 6 ( 0 ) \n", + "29 50 1000 0.3 20.0 0.00 0.34 ( 0.01 ) 1 ( 0 ) 6 ( 0 ) \n", + "45 50 1000 0.5 20.0 0.00 0.57 ( 0.02 ) 1 ( 0 ) 6 ( 0 ) \n", + "61 50 1000 0.7 20.0 0.00 0.91 ( 0.04 ) 1 ( 0 ) 6 ( 0 ) \n", + "77 50 1000 0.9 20.0 0.00 1.22 ( 0.05 ) 1 ( 0 ) 6 ( 0 ) \n", + "2 100 50 0.1 0.5 0.03 0.07 ( 0 ) 2.26 ( 0.17 ) 5.06 ( 0.12 )\n", + "18 100 50 0.3 0.5 0.05 0.25 ( 0.01 ) 1.97 ( 0.13 ) 4.84 ( 0.08 )\n", + "34 100 50 0.5 0.5 0.09 0.42 ( 0.01 ) 1.75 ( 0.14 ) 4.6 ( 0.09 ) \n", + "50 100 50 0.7 0.5 0.11 0.59 ( 0.02 ) 1.85 ( 0.14 ) 4.52 ( 0.08 )\n", + "66 100 50 0.9 0.5 0.16 0.78 ( 0.02 ) 1.56 ( 0.11 ) 4.38 ( 0.09 )\n", + "6 100 100 0.1 1.0 0.01 0.07 ( 0 ) 4.76 ( 0.27 ) 5.51 ( 0.09 )\n", + "22 100 100 0.3 1.0 0.05 0.25 ( 0.01 ) 4.14 ( 0.18 ) 4.63 ( 0.1 ) \n", + "38 100 100 0.5 1.0 0.06 0.47 ( 0.02 ) 4.15 ( 0.17 ) 4.61 ( 0.09 )\n", + "54 100 100 0.7 1.0 0.05 0.63 ( 0.02 ) 4.69 ( 0.18 ) 4.65 ( 0.09 )\n", + "70 100 100 0.9 1.0 0.09 0.84 ( 0.02 ) 3.94 ( 0.18 ) 4.32 ( 0.09 )\n", + "... ... ... ... ... ... ... ... ... \n", + "11 500 500 0.1 1.00 0.07 0.06 ( 0 ) 23.98 ( 0.51 ) 3.3 ( 0.16 ) \n", + "27 500 500 0.3 1.00 0.09 0.23 ( 0 ) 22.67 ( 0.44 ) 2.42 ( 0.09 )\n", + "43 500 500 0.5 1.00 0.11 0.41 ( 0 ) 21.23 ( 0.42 ) 2.01 ( 0.1 ) \n", + "59 500 500 0.7 1.00 0.12 0.57 ( 0.01 ) 20.96 ( 0.41 ) 1.86 ( 0.09 )\n", + "75 500 500 0.9 1.00 0.12 0.73 ( 0.01 ) 20.83 ( 0.45 ) 2.04 ( 0.09 )\n", + "15 500 1000 0.1 2.00 0.02 0.06 ( 0 ) 48.48 ( 0.7 ) 3.65 ( 0.16 )\n", + "31 500 1000 0.3 2.00 0.04 0.23 ( 0 ) 46.28 ( 0.69 ) 2.72 ( 0.1 ) \n", + "47 500 1000 0.5 2.00 0.05 0.42 ( 0 ) 45.98 ( 0.68 ) 2.22 ( 0.09 )\n", + "63 500 1000 0.7 2.00 0.05 0.6 ( 0.01 ) 47.23 ( 0.73 ) 2.18 ( 0.1 ) \n", + "79 500 1000 0.9 2.00 0.06 0.78 ( 0.01 ) 46.01 ( 0.7 ) 2.14 ( 0.09 )\n", + "4 1000 50 0.1 0.05 0.51 0.05 ( 0 ) 2.37 ( 0.16 ) 2.54 ( 0.11 )\n", + "20 1000 50 0.3 0.05 0.84 0.13 ( 0 ) 0.3 ( 0.05 ) 0.69 ( 0.07 )\n", + "36 1000 50 0.5 0.05 0.85 0.2 ( 0 ) 0.24 ( 0.05 ) 0.73 ( 0.07 )\n", + "52 1000 50 0.7 0.05 0.87 0.27 ( 0 ) 0.18 ( 0.05 ) 0.72 ( 0.07 )\n", + "68 1000 50 0.9 0.05 0.86 0.34 ( 0 ) 0.14 ( 0.04 ) 0.86 ( 0.08 )\n", + "8 1000 100 0.1 0.10 0.52 0.05 ( 0 ) 4.65 ( 0.2 ) 1.99 ( 0.13 )\n", + "24 1000 100 0.3 0.10 0.66 0.16 ( 0 ) 1.78 ( 0.13 ) 0.64 ( 0.07 )\n", + "40 1000 100 0.5 0.10 0.73 0.26 ( 0 ) 1.21 ( 0.1 ) 0.6 ( 0.07 ) \n", + "56 1000 100 0.7 0.10 0.71 0.35 ( 0 ) 1.47 ( 0.13 ) 0.63 ( 0.06 )\n", + "72 1000 100 0.9 0.10 0.76 0.44 ( 0 ) 1.05 ( 0.11 ) 0.55 ( 0.06 )\n", + "12 1000 500 0.1 0.50 0.17 0.05 ( 0 ) 23.6 ( 0.51 ) 1.93 ( 0.15 )\n", + "28 1000 500 0.3 0.50 0.16 0.22 ( 0 ) 19.38 ( 0.47 ) 1.14 ( 0.07 )\n", + "44 1000 500 0.5 0.50 0.17 0.37 ( 0 ) 18.91 ( 0.41 ) 0.96 ( 0.07 )\n", + "60 1000 500 0.7 0.50 0.17 0.52 ( 0 ) 18.88 ( 0.46 ) 1.01 ( 0.08 )\n", + "76 1000 500 0.9 0.50 0.18 0.68 ( 0.01 ) 18.47 ( 0.43 ) 1 ( 0.07 ) \n", + "16 1000 1000 0.1 1.00 0.07 0.05 ( 0 ) 47.72 ( 0.68 ) 2.25 ( 0.14 )\n", + "32 1000 1000 0.3 1.00 0.07 0.23 ( 0 ) 44.67 ( 0.68 ) 1.33 ( 0.08 )\n", + "48 1000 1000 0.5 1.00 0.08 0.4 ( 0 ) 44.42 ( 0.63 ) 1.13 ( 0.07 )\n", + "64 1000 1000 0.7 1.00 0.08 0.57 ( 0 ) 43.91 ( 0.67 ) 1.1 ( 0.08 ) \n", + "80 1000 1000 0.9 1.00 0.08 0.74 ( 0.01 ) 43.05 ( 0.72 ) 1.17 ( 0.08 )\n", + " OOB MSE_mean FP_mean FN_mean OOB_mean\n", + "1 0.59 ( 0.01 ) 0.08 1.00 0.00 0.59 \n", + "17 1.14 ( 0.01 ) 0.31 1.00 0.00 1.14 \n", + "33 1.46 ( 0.01 ) 0.60 1.00 0.00 1.46 \n", + "49 1.72 ( 0.02 ) 0.80 1.00 0.00 1.72 \n", + "65 1.99 ( 0.02 ) 1.10 1.00 0.00 1.99 \n", + "5 0.6 ( 0.01 ) 0.08 1.00 0.00 0.60 \n", + "21 1.2 ( 0.01 ) 0.32 1.00 0.00 1.20 \n", + "37 1.56 ( 0.01 ) 0.60 1.00 0.00 1.56 \n", + "53 1.85 ( 0.02 ) 0.92 1.00 0.00 1.85 \n", + "69 2.06 ( 0.02 ) 1.11 1.00 0.00 2.06 \n", + "9 0.59 ( 0.01 ) 0.08 1.00 0.00 0.59 \n", + "25 1.23 ( 0.01 ) 0.36 1.00 0.00 1.23 \n", + "41 1.64 ( 0.02 ) 0.58 1.00 0.00 1.64 \n", + "57 2 ( 0.02 ) 0.91 1.00 0.00 2.00 \n", + "73 2.2 ( 0.02 ) 1.18 1.00 0.00 2.20 \n", + "13 0.59 ( 0.01 ) 0.08 1.00 0.00 0.59 \n", + "29 1.26 ( 0.01 ) 0.34 1.00 0.00 1.26 \n", + "45 1.64 ( 0.02 ) 0.57 1.00 0.00 1.64 \n", + "61 1.98 ( 0.02 ) 0.91 1.00 0.00 1.98 \n", + "77 2.3 ( 0.03 ) 1.22 1.00 0.00 2.30 \n", + "2 0.58 ( 0 ) 0.07 2.26 5.06 0.58 \n", + "18 1.05 ( 0.01 ) 0.25 1.97 4.84 1.05 \n", + "34 1.33 ( 0.01 ) 0.42 1.75 4.60 1.33 \n", + "50 1.57 ( 0.01 ) 0.59 1.85 4.52 1.57 \n", + "66 1.78 ( 0.01 ) 0.78 1.56 4.38 1.78 \n", + "6 0.58 ( 0 ) 0.07 4.76 5.51 0.58 \n", + "22 1.14 ( 0.01 ) 0.25 4.14 4.63 1.14 \n", + "38 1.45 ( 0.01 ) 0.47 4.15 4.61 1.45 \n", + "54 1.7 ( 0.01 ) 0.63 4.69 4.65 1.70 \n", + "70 1.95 ( 0.01 ) 0.84 3.94 4.32 1.95 \n", + "... ... ... ... ... ... \n", + "11 0.58 ( 0 ) 0.06 23.90 3.30 0.58 \n", + "27 1.14 ( 0 ) 0.23 22.60 2.42 1.14 \n", + "43 1.49 ( 0 ) 0.41 21.20 2.01 1.49 \n", + "59 1.77 ( 0.01 ) 0.57 20.90 1.86 1.77 \n", + "75 2 ( 0.01 ) 0.73 20.80 2.04 2.00 \n", + "15 0.58 ( 0 ) 0.06 48.40 3.65 0.58 \n", + "31 1.19 ( 0 ) 0.23 46.20 2.72 1.19 \n", + "47 1.57 ( 0 ) 0.42 45.90 2.22 1.57 \n", + "63 1.88 ( 0.01 ) 0.60 47.20 2.18 1.88 \n", + "79 2.12 ( 0.01 ) 0.78 46.00 2.14 2.12 \n", + "4 0.55 ( 0 ) 0.05 2.37 2.54 0.55 \n", + "20 0.77 ( 0 ) 0.13 0.30 0.69 0.77 \n", + "36 0.93 ( 0 ) 0.20 0.24 0.73 0.93 \n", + "52 1.06 ( 0 ) 0.27 0.18 0.72 1.06 \n", + "68 1.17 ( 0 ) 0.34 0.14 0.86 1.17 \n", + "8 0.56 ( 0 ) 0.05 4.65 1.99 0.56 \n", + "24 0.86 ( 0 ) 0.16 1.78 0.64 0.86 \n", + "40 1.06 ( 0 ) 0.26 1.21 0.60 1.06 \n", + "56 1.22 ( 0 ) 0.35 1.47 0.63 1.22 \n", + "72 1.36 ( 0 ) 0.44 1.05 0.55 1.36 \n", + "12 0.57 ( 0 ) 0.05 23.60 1.93 0.57 \n", + "28 1.11 ( 0 ) 0.22 19.30 1.14 1.11 \n", + "44 1.44 ( 0 ) 0.37 18.90 0.96 1.44 \n", + "60 1.7 ( 0 ) 0.52 18.80 1.01 1.70 \n", + "76 1.92 ( 0 ) 0.68 18.40 0.00 1.92 \n", + "16 0.58 ( 0 ) 0.05 47.70 2.25 0.58 \n", + "32 1.17 ( 0 ) 0.23 44.60 1.33 1.17 \n", + "48 1.53 ( 0 ) 0.40 44.40 1.13 1.53 \n", + "64 1.82 ( 0 ) 0.57 43.90 1.10 1.82 \n", + "80 2.07 ( 0 ) 0.74 43.00 1.17 2.07 " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "result.table_block[with(result.table_block, order(N, P, Corr)),]" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "R", + "language": "R", + "name": "ir" + }, + "language_info": { + "codemirror_mode": "r", + "file_extension": ".r", + "mimetype": "text/x-r-source", + "name": "R", + "pygments_lexer": "r", + "version": "3.6.1" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/simulations/notebooks_simulations/sim_block_summary.ipynb b/simulations/notebooks_simulations/sim_block_summary.ipynb new file mode 100644 index 0000000..c80687b --- /dev/null +++ b/simulations/notebooks_simulations/sim_block_summary.ipynb @@ -0,0 +1,796 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "block_lasso = read.csv('../results_summary/sim_block_lasso.txt', sep='\\t')\n", + "block_elnet = read.csv('../results_summary/sim_block_elnet.txt', sep='\\t')\n", + "block_rf = read.csv('../results_summary/sim_block_rf.txt', sep='\\t')\n", + "block_compLasso = read.csv('../results_summary/sim_block_compLasso.txt', sep='\\t')\n", + "\n", + "block_lasso$method = rep('lasso', dim(block_lasso)[1])\n", + "block_elnet$method = rep('elnet', dim(block_elnet)[1])\n", + "block_rf$method = rep('rf', dim(block_rf)[1])\n", + "block_compLasso$method = rep('compLasso', dim(block_compLasso)[1])" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
      \n", + "\t
    1. 80
      2. \n", + "\t
    2. 14
      3. \n", + "
    \n" + ], + "text/latex": [ + "\\begin{enumerate*}\n", + "\\item 80\n", + "\\item 14\n", + "\\end{enumerate*}\n" + ], + "text/markdown": [ + "1. 80\n", + "2. 14\n", + "\n", + "\n" + ], + "text/plain": [ + "[1] 80 14" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
      \n", + "\t
    1. 80
      2. \n", + "\t
    2. 14
      3. \n", + "
    \n" + ], + "text/latex": [ + "\\begin{enumerate*}\n", + "\\item 80\n", + "\\item 14\n", + "\\end{enumerate*}\n" + ], + "text/markdown": [ + "1. 80\n", + "2. 14\n", + "\n", + "\n" + ], + "text/plain": [ + "[1] 80 14" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
      \n", + "\t
    1. 80
      2. \n", + "\t
    2. 16
      3. \n", + "
    \n" + ], + "text/latex": [ + "\\begin{enumerate*}\n", + "\\item 80\n", + "\\item 16\n", + "\\end{enumerate*}\n" + ], + "text/markdown": [ + "1. 80\n", + "2. 16\n", + "\n", + "\n" + ], + "text/plain": [ + "[1] 80 16" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
      \n", + "\t
    1. 80
      2. \n", + "\t
    2. 14
      3. \n", + "
    \n" + ], + "text/latex": [ + "\\begin{enumerate*}\n", + "\\item 80\n", + "\\item 14\n", + "\\end{enumerate*}\n" + ], + "text/markdown": [ + "1. 80\n", + "2. 14\n", + "\n", + "\n" + ], + "text/plain": [ + "[1] 80 14" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "dim(block_lasso)\n", + "dim(block_elnet)\n", + "dim(block_rf)\n", + "dim(block_compLasso)" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
      \n", + "\t
    1. 80
      2. \n", + "\t
    2. 14
      3. \n", + "
    \n" + ], + "text/latex": [ + "\\begin{enumerate*}\n", + "\\item 80\n", + "\\item 14\n", + "\\end{enumerate*}\n" + ], + "text/markdown": [ + "1. 80\n", + "2. 14\n", + "\n", + "\n" + ], + "text/plain": [ + "[1] 80 14" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "block_rf = block_rf[!names(block_rf)%in% c('OOB', 'OOB_mean', 'blockex')]\n", + "dim(block_rf)" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
      \n", + "\t
    1. 320
      2. \n", + "\t
    2. 14
      3. \n", + "
    \n" + ], + "text/latex": [ + "\\begin{enumerate*}\n", + "\\item 320\n", + "\\item 14\n", + "\\end{enumerate*}\n" + ], + "text/markdown": [ + "1. 320\n", + "2. 14\n", + "\n", + "\n" + ], + "text/plain": [ + "[1] 320 14" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "block = rbind(block_lasso, block_elnet)\n", + "block = rbind(block, block_rf)\n", + "block = rbind(block, block_compLasso)\n", + "dim(block)" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [], + "source": [ + "# fix false positives: when nothing was selected, then fp should be zero\n", + "# fp is now 1 due to length(setdiff(0/NA)) = 1 when actually should be 0 (in cv_sim_apply.R)\n", + "block$FP_mean[block$num_select ==0] = 0\n", + "write.table(block, '../results_summary/table_block_all.txt', sep='\\t', row.names=F)" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", + "\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\n", + "
    NPmethodStabMSE_meanFP_meanFN_meanFDR
    161000 1000 lasso 0.17 0.30 13.40 2.77 0.47
    321000 1000 lasso 0.51 0.27 6.69 0.00 0.41
    481000 1000 lasso 0.53 0.27 6.36 0.00 0.39
    641000 1000 lasso 0.65 0.28 4.14 0.00 0.27
    801000 1000 lasso 0.60 0.28 4.93 0.00 0.31
    961000 1000 elnet 0.05 0.29 71.60 1.50 0.90
    1121000 1000 elnet 0.13 0.27 39.20 0.00 0.83
    1281000 1000 elnet 0.14 0.27 35.40 0.00 0.82
    1441000 1000 elnet 0.14 0.27 36.80 0.00 0.81
    1601000 1000 elnet 0.13 0.27 38.70 0.00 0.82
    1761000 1000 rf 0.07 0.05 47.70 2.25 0.93
    1921000 1000 rf 0.07 0.23 44.60 1.33 0.90
    2081000 1000 rf 0.08 0.40 44.40 1.13 0.90
    2241000 1000 rf 0.08 0.57 43.90 1.10 0.90
    2401000 1000 rf 0.08 0.74 43.00 1.17 0.90
    2561000 1000 compLasso0.21 0.31 8.59 2.96 0.36
    2721000 1000 compLasso0.95 0.56 0.29 0.00 0.03
    2881000 1000 compLasso0.95 0.85 0.30 0.00 0.03
    3041000 1000 compLasso0.97 1.13 0.21 0.00 0.03
    3201000 1000 compLasso0.95 1.35 0.29 0.00 0.03
    \n" + ], + "text/latex": [ + "\\begin{tabular}{r|llllllll}\n", + " & N & P & method & Stab & MSE\\_mean & FP\\_mean & FN\\_mean & FDR\\\\\n", + "\\hline\n", + "\t16 & 1000 & 1000 & lasso & 0.17 & 0.30 & 13.40 & 2.77 & 0.47 \\\\\n", + "\t32 & 1000 & 1000 & lasso & 0.51 & 0.27 & 6.69 & 0.00 & 0.41 \\\\\n", + "\t48 & 1000 & 1000 & lasso & 0.53 & 0.27 & 6.36 & 0.00 & 0.39 \\\\\n", + "\t64 & 1000 & 1000 & lasso & 0.65 & 0.28 & 4.14 & 0.00 & 0.27 \\\\\n", + "\t80 & 1000 & 1000 & lasso & 0.60 & 0.28 & 4.93 & 0.00 & 0.31 \\\\\n", + "\t96 & 1000 & 1000 & elnet & 0.05 & 0.29 & 71.60 & 1.50 & 0.90 \\\\\n", + "\t112 & 1000 & 1000 & elnet & 0.13 & 0.27 & 39.20 & 0.00 & 0.83 \\\\\n", + "\t128 & 1000 & 1000 & elnet & 0.14 & 0.27 & 35.40 & 0.00 & 0.82 \\\\\n", + "\t144 & 1000 & 1000 & elnet & 0.14 & 0.27 & 36.80 & 0.00 & 0.81 \\\\\n", + "\t160 & 1000 & 1000 & elnet & 0.13 & 0.27 & 38.70 & 0.00 & 0.82 \\\\\n", + "\t176 & 1000 & 1000 & rf & 0.07 & 0.05 & 47.70 & 2.25 & 0.93 \\\\\n", + "\t192 & 1000 & 1000 & rf & 0.07 & 0.23 & 44.60 & 1.33 & 0.90 \\\\\n", + "\t208 & 1000 & 1000 & rf & 0.08 & 0.40 & 44.40 & 1.13 & 0.90 \\\\\n", + "\t224 & 1000 & 1000 & rf & 0.08 & 0.57 & 43.90 & 1.10 & 0.90 \\\\\n", + "\t240 & 1000 & 1000 & rf & 0.08 & 0.74 & 43.00 & 1.17 & 0.90 \\\\\n", + "\t256 & 1000 & 1000 & compLasso & 0.21 & 0.31 & 8.59 & 2.96 & 0.36 \\\\\n", + "\t272 & 1000 & 1000 & compLasso & 0.95 & 0.56 & 0.29 & 0.00 & 0.03 \\\\\n", + "\t288 & 1000 & 1000 & compLasso & 0.95 & 0.85 & 0.30 & 0.00 & 0.03 \\\\\n", + "\t304 & 1000 & 1000 & compLasso & 0.97 & 1.13 & 0.21 & 0.00 & 0.03 \\\\\n", + "\t320 & 1000 & 1000 & compLasso & 0.95 & 1.35 & 0.29 & 0.00 & 0.03 \\\\\n", + "\\end{tabular}\n" + ], + "text/markdown": [ + "\n", + "| | N | P | method | Stab | MSE_mean | FP_mean | FN_mean | FDR |\n", + "|---|---|---|---|---|---|---|---|---|\n", + "| 16 | 1000 | 1000 | lasso | 0.17 | 0.30 | 13.40 | 2.77 | 0.47 |\n", + "| 32 | 1000 | 1000 | lasso | 0.51 | 0.27 | 6.69 | 0.00 | 0.41 |\n", + "| 48 | 1000 | 1000 | lasso | 0.53 | 0.27 | 6.36 | 0.00 | 0.39 |\n", + "| 64 | 1000 | 1000 | lasso | 0.65 | 0.28 | 4.14 | 0.00 | 0.27 |\n", + "| 80 | 1000 | 1000 | lasso | 0.60 | 0.28 | 4.93 | 0.00 | 0.31 |\n", + "| 96 | 1000 | 1000 | elnet | 0.05 | 0.29 | 71.60 | 1.50 | 0.90 |\n", + "| 112 | 1000 | 1000 | elnet | 0.13 | 0.27 | 39.20 | 0.00 | 0.83 |\n", + "| 128 | 1000 | 1000 | elnet | 0.14 | 0.27 | 35.40 | 0.00 | 0.82 |\n", + "| 144 | 1000 | 1000 | elnet | 0.14 | 0.27 | 36.80 | 0.00 | 0.81 |\n", + "| 160 | 1000 | 1000 | elnet | 0.13 | 0.27 | 38.70 | 0.00 | 0.82 |\n", + "| 176 | 1000 | 1000 | rf | 0.07 | 0.05 | 47.70 | 2.25 | 0.93 |\n", + "| 192 | 1000 | 1000 | rf | 0.07 | 0.23 | 44.60 | 1.33 | 0.90 |\n", + "| 208 | 1000 | 1000 | rf | 0.08 | 0.40 | 44.40 | 1.13 | 0.90 |\n", + "| 224 | 1000 | 1000 | rf | 0.08 | 0.57 | 43.90 | 1.10 | 0.90 |\n", + "| 240 | 1000 | 1000 | rf | 0.08 | 0.74 | 43.00 | 1.17 | 0.90 |\n", + "| 256 | 1000 | 1000 | compLasso | 0.21 | 0.31 | 8.59 | 2.96 | 0.36 |\n", + "| 272 | 1000 | 1000 | compLasso | 0.95 | 0.56 | 0.29 | 0.00 | 0.03 |\n", + "| 288 | 1000 | 1000 | compLasso | 0.95 | 0.85 | 0.30 | 0.00 | 0.03 |\n", + "| 304 | 1000 | 1000 | compLasso | 0.97 | 1.13 | 0.21 | 0.00 | 0.03 |\n", + "| 320 | 1000 | 1000 | compLasso | 0.95 | 1.35 | 0.29 | 0.00 | 0.03 |\n", + "\n" + ], + "text/plain": [ + " N P method Stab MSE_mean FP_mean FN_mean FDR \n", + "16 1000 1000 lasso 0.17 0.30 13.40 2.77 0.47\n", + "32 1000 1000 lasso 0.51 0.27 6.69 0.00 0.41\n", + "48 1000 1000 lasso 0.53 0.27 6.36 0.00 0.39\n", + "64 1000 1000 lasso 0.65 0.28 4.14 0.00 0.27\n", + "80 1000 1000 lasso 0.60 0.28 4.93 0.00 0.31\n", + "96 1000 1000 elnet 0.05 0.29 71.60 1.50 0.90\n", + "112 1000 1000 elnet 0.13 0.27 39.20 0.00 0.83\n", + "128 1000 1000 elnet 0.14 0.27 35.40 0.00 0.82\n", + "144 1000 1000 elnet 0.14 0.27 36.80 0.00 0.81\n", + "160 1000 1000 elnet 0.13 0.27 38.70 0.00 0.82\n", + "176 1000 1000 rf 0.07 0.05 47.70 2.25 0.93\n", + "192 1000 1000 rf 0.07 0.23 44.60 1.33 0.90\n", + "208 1000 1000 rf 0.08 0.40 44.40 1.13 0.90\n", + "224 1000 1000 rf 0.08 0.57 43.90 1.10 0.90\n", + "240 1000 1000 rf 0.08 0.74 43.00 1.17 0.90\n", + "256 1000 1000 compLasso 0.21 0.31 8.59 2.96 0.36\n", + "272 1000 1000 compLasso 0.95 0.56 0.29 0.00 0.03\n", + "288 1000 1000 compLasso 0.95 0.85 0.30 0.00 0.03\n", + "304 1000 1000 compLasso 0.97 1.13 0.21 0.00 0.03\n", + "320 1000 1000 compLasso 0.95 1.35 0.29 0.00 0.03" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "block[order(block$N, block$P, decreasing=T), c('N', 'P', 'method', 'Stab', 'MSE_mean', 'FP_mean', 'FN_mean', 'FDR')][1:20, ]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### data visulization" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Registered S3 methods overwritten by 'ggplot2':\n", + " method from \n", + " [.quosures rlang\n", + " c.quosures rlang\n", + " print.quosures rlang\n" + ] + } + ], + "source": [ + "library(ggplot2)\n", + "block$N = as.factor(block$N)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Correlation 0.1" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Warning message:\n", + "“Removed 2 rows containing missing values (geom_bar).”" + ] + } + ], + "source": [ + "block_sub1 = block[block$Corr %in% 0.1, ]\n", + "\n", + "fig_num_select <- ggplot(block_sub1, aes(fill=method, y=num_select, x=N)) + \n", + " geom_bar(position=\"dodge\", stat=\"identity\") + \n", + " ggtitle(\"Block Correlation 0.1\") + xlab(\"Number of Samples\") + ylab(\"Number of Selected Features\") + \n", + " theme(plot.title = element_text(hjust = 0.5), legend.position=\"top\") + \n", + " facet_grid(~P, labeller = label_both) + ylim(0, 65) + \n", + " scale_fill_brewer(palette=\"Dark2\", name=\"Method\",\n", + " breaks=c(\"compLasso\", \"elnet\", \"lasso\", \"rf\"),\n", + " labels=c(\"Compositional Lasso\", \"Elastic Net\", \"Lasso\", \"Random Forest\"))\n", + "ggsave('../figures_sim/figure_block_corr0.1_num_select.pdf', height=5, width=5.5)\n", + "\n", + "figt_stab <- ggplot(block_sub1, aes(fill=method, y=Stab, x=N)) + \n", + " geom_bar(position=\"dodge\", stat=\"identity\") + \n", + " ggtitle(\"Block Correlation 0.1\") + xlab(\"Number of Samples\") + ylab(\"Stability\") + \n", + " theme(plot.title = element_text(hjust = 0.5), legend.position=\"top\") + \n", + " facet_grid(~P, labeller = label_both) + ylim(0, 1) + \n", + " scale_fill_brewer(palette=\"Dark2\", name=\"Method\",\n", + " breaks=c(\"compLasso\", \"elnet\", \"lasso\", \"rf\"),\n", + " labels=c(\"Compositional Lasso\", \"Elastic Net\", \"Lasso\", \"Random Forest\"))\n", + "ggsave('../figures_sim/figure_block_corr0.1_Stab.pdf', height=5, width=5.5)\n", + "\n", + "fig_mse <- ggplot(block_sub1, aes(fill=method, y=MSE_mean, x=N)) + \n", + " geom_bar(position=\"dodge\", stat=\"identity\") + \n", + " ggtitle(\"Block Correlation 0.1\") + xlab(\"Number of Samples\") + ylab(\"MSE\") + \n", + " theme(plot.title = element_text(hjust = 0.5), legend.position=\"top\") + \n", + " facet_grid(~P, labeller = label_both) + ylim(0, 3.5) + \n", + " scale_fill_brewer(palette=\"Dark2\", name=\"Method\",\n", + " breaks=c(\"compLasso\", \"elnet\", \"lasso\", \"rf\"),\n", + " labels=c(\"Compositional Lasso\", \"Elastic Net\", \"Lasso\", \"Random Forest\"))\n", + "ggsave('../figures_sim/figure_block_corr0.1_MSE.pdf', height=5, width=5.5)\n", + "\n", + "fig_FP <- ggplot(block_sub1, aes(fill=method, y=FP_mean, x=N)) + \n", + " geom_bar(position=\"dodge\", stat=\"identity\") + \n", + " ggtitle(\"Block Correlation 0.1\") + xlab(\"Number of Samples\") + ylab(\"#False Positives\") + \n", + " theme(plot.title = element_text(hjust = 0.5), legend.position=\"top\") + \n", + " facet_grid(~P, labeller = label_both) + ylim(0, 72) + \n", + " scale_fill_brewer(palette=\"Dark2\", name=\"Method\",\n", + " breaks=c(\"compLasso\", \"elnet\", \"lasso\", \"rf\"),\n", + " labels=c(\"Compositional Lasso\", \"Elastic Net\", \"Lasso\", \"Random Forest\"))\n", + "ggsave('../figures_sim/figure_block_corr0.1_FP.pdf', height=5, width=5.5)\n", + "\n", + "fig_FN <- ggplot(block_sub1, aes(fill=method, y=FN_mean, x=N)) + \n", + " geom_bar(position=\"dodge\", stat=\"identity\") + \n", + " ggtitle(\"Block Correlation 0.1\") + xlab(\"Number of Samples\") + ylab(\"#False Negatives\") + \n", + " theme(plot.title = element_text(hjust = 0.5), legend.position=\"top\") + \n", + " facet_grid(~P, labeller = label_both) + ylim(0, 6) + \n", + " scale_fill_brewer(palette=\"Dark2\", name=\"Method\",\n", + " breaks=c(\"compLasso\", \"elnet\", \"lasso\", \"rf\"),\n", + " labels=c(\"Compositional Lasso\", \"Elastic Net\", \"Lasso\", \"Random Forest\"))\n", + "ggsave('../figures_sim/figure_block_corr0.1_FN.pdf', height=5, width=5.5)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Correlation 0.3" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [], + "source": [ + "block_sub3 = block[block$Corr %in% 0.3, ]\n", + "\n", + "fig_num_select <- ggplot(block_sub3, aes(fill=method, y=num_select, x=N)) + \n", + " geom_bar(position=\"dodge\", stat=\"identity\") + \n", + " ggtitle(\"Block Correlation 0.3\") + xlab(\"Number of Samples\") + ylab(\"Number of Selected Features\") + \n", + " theme(plot.title = element_text(hjust = 0.5), legend.position=\"top\") + \n", + " facet_grid(~P, labeller = label_both) + ylim(0, 65) + \n", + " scale_fill_brewer(palette=\"Dark2\", name=\"Method\",\n", + " breaks=c(\"compLasso\", \"elnet\", \"lasso\", \"rf\"),\n", + " labels=c(\"Compositional Lasso\", \"Elastic Net\", \"Lasso\", \"Random Forest\"))\n", + "ggsave('../figures_sim/figure_block_corr0.3_num_select.pdf', height=5, width=5.5)\n", + "\n", + "fig_stab <- ggplot(block_sub3, aes(fill=method, y=Stab, x=N)) + \n", + " geom_bar(position=\"dodge\", stat=\"identity\") + \n", + " ggtitle(\"Block Correlation 0.3\") + xlab(\"Number of Samples\") + ylab(\"Stability\") + \n", + " theme(plot.title = element_text(hjust = 0.5), legend.position=\"top\") + \n", + " facet_grid(~P, labeller = label_both) + ylim(0, 1) + \n", + " scale_fill_brewer(palette=\"Dark2\", name=\"Method\",\n", + " breaks=c(\"compLasso\", \"elnet\", \"lasso\", \"rf\"),\n", + " labels=c(\"Compositional Lasso\", \"Elastic Net\", \"Lasso\", \"Random Forest\"))\n", + "ggsave('../figures_sim/figure_block_corr0.3_Stab.pdf', height=5, width=5.5)\n", + "\n", + "fig_mse <- ggplot(block_sub3, aes(fill=method, y=MSE_mean, x=N)) + \n", + " geom_bar(position=\"dodge\", stat=\"identity\") + \n", + " ggtitle(\"Block Correlation 0.3\") + xlab(\"Number of Samples\") + ylab(\"MSE\") + \n", + " theme(plot.title = element_text(hjust = 0.5), legend.position=\"top\") + \n", + " facet_grid(~P, labeller = label_both) + ylim(0, 3.5) + \n", + " scale_fill_brewer(palette=\"Dark2\", name=\"Method\",\n", + " breaks=c(\"compLasso\", \"elnet\", \"lasso\", \"rf\"),\n", + " labels=c(\"Compositional Lasso\", \"Elastic Net\", \"Lasso\", \"Random Forest\"))\n", + "ggsave('../figures_sim/figure_block_corr0.3_MSE.pdf', height=5, width=5.5)\n", + "\n", + "fig_FP <- ggplot(block_sub3, aes(fill=method, y=FP_mean, x=N)) + \n", + " geom_bar(position=\"dodge\", stat=\"identity\") + \n", + " ggtitle(\"Block Correlation 0.3\") + xlab(\"Number of Samples\") + ylab(\"#False Positives\") + \n", + " theme(plot.title = element_text(hjust = 0.5), legend.position=\"top\") + \n", + " facet_grid(~P, labeller = label_both) + ylim(0, 72) + \n", + " scale_fill_brewer(palette=\"Dark2\", name=\"Method\",\n", + " breaks=c(\"compLasso\", \"elnet\", \"lasso\", \"rf\"),\n", + " labels=c(\"Compositional Lasso\", \"Elastic Net\", \"Lasso\", \"Random Forest\"))\n", + "ggsave('../figures_sim/figure_block_corr0.3_FP.pdf', height=5, width=5.5)\n", + "\n", + "fig_FN <- ggplot(block_sub3, aes(fill=method, y=FN_mean, x=N)) + \n", + " geom_bar(position=\"dodge\", stat=\"identity\") + \n", + " ggtitle(\"Block Correlation 0.3\") + xlab(\"Number of Samples\") + ylab(\"#False Negatives\") + \n", + " theme(plot.title = element_text(hjust = 0.5), legend.position=\"top\") + \n", + " facet_grid(~P, labeller = label_both) + ylim(0, 6) + \n", + " scale_fill_brewer(palette=\"Dark2\", name=\"Method\",\n", + " breaks=c(\"compLasso\", \"elnet\", \"lasso\", \"rf\"),\n", + " labels=c(\"Compositional Lasso\", \"Elastic Net\", \"Lasso\", \"Random Forest\"))\n", + "ggsave('../figures_sim/figure_block_corr0.3_FN.pdf', height=5, width=5.5)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Correlation 0.5" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [], + "source": [ + "block_sub5 = block[block$Corr %in% 0.5, ]\n", + "\n", + "fig_num_select <- ggplot(block_sub5, aes(fill=method, y=num_select, x=N)) + \n", + " geom_bar(position=\"dodge\", stat=\"identity\") + \n", + " ggtitle(\"Block Correlation 0.5\") + xlab(\"Number of Samples\") + ylab(\"Number of Selected Features\") + \n", + " theme(plot.title = element_text(hjust = 0.5), legend.position=\"top\") + \n", + " facet_grid(~P, labeller = label_both) + ylim(0, 65) + \n", + " scale_fill_brewer(palette=\"Dark2\", name=\"Method\",\n", + " breaks=c(\"compLasso\", \"elnet\", \"lasso\", \"rf\"),\n", + " labels=c(\"Compositional Lasso\", \"Elastic Net\", \"Lasso\", \"Random Forest\"))\n", + "ggsave('../figures_sim/figure_block_corr0.5_num_select.pdf', height=5, width=5.5)\n", + "\n", + "fig_stab <- ggplot(block_sub5, aes(fill=method, y=Stab, x=N)) + \n", + " geom_bar(position=\"dodge\", stat=\"identity\") + \n", + " ggtitle(\"Block Correlation 0.5\") + xlab(\"Number of Samples\") + ylab(\"Stability\") + \n", + " theme(plot.title = element_text(hjust = 0.5), legend.position=\"top\") + \n", + " facet_grid(~P, labeller = label_both) + ylim(0, 1) + \n", + " scale_fill_brewer(palette=\"Dark2\", name=\"Method\",\n", + " breaks=c(\"compLasso\", \"elnet\", \"lasso\", \"rf\"),\n", + " labels=c(\"Compositional Lasso\", \"Elastic Net\", \"Lasso\", \"Random Forest\"))\n", + "ggsave('../figures_sim/figure_block_corr0.5_Stab.pdf', height=5, width=5.5)\n", + "\n", + "fig_mse <- ggplot(block_sub5, aes(fill=method, y=MSE_mean, x=N)) + \n", + " geom_bar(position=\"dodge\", stat=\"identity\") + \n", + " ggtitle(\"Block Correlation 0.5\") + xlab(\"Number of Samples\") + ylab(\"MSE\") + \n", + " theme(plot.title = element_text(hjust = 0.5), legend.position=\"top\") + \n", + " facet_grid(~P, labeller = label_both) + ylim(0, 3.5) + \n", + " scale_fill_brewer(palette=\"Dark2\", name=\"Method\",\n", + " breaks=c(\"compLasso\", \"elnet\", \"lasso\", \"rf\"),\n", + " labels=c(\"Compositional Lasso\", \"Elastic Net\", \"Lasso\", \"Random Forest\"))\n", + "ggsave('../figures_sim/figure_block_corr0.5_MSE.pdf', height=5, width=5.5)\n", + "\n", + "fig_FP <- ggplot(block_sub5, aes(fill=method, y=FP_mean, x=N)) + \n", + " geom_bar(position=\"dodge\", stat=\"identity\") + \n", + " ggtitle(\"Block Correlation 0.5\") + xlab(\"Number of Samples\") + ylab(\"#False Positives\") + \n", + " theme(plot.title = element_text(hjust = 0.5), legend.position=\"top\") + \n", + " facet_grid(~P, labeller = label_both) + ylim(0, 72) + \n", + " scale_fill_brewer(palette=\"Dark2\", name=\"Method\",\n", + " breaks=c(\"compLasso\", \"elnet\", \"lasso\", \"rf\"),\n", + " labels=c(\"Compositional Lasso\", \"Elastic Net\", \"Lasso\", \"Random Forest\"))\n", + "ggsave('../figures_sim/figure_block_corr0.5_FP.pdf', height=5, width=5.5)\n", + "\n", + "fig_FN <- ggplot(block_sub5, aes(fill=method, y=FN_mean, x=N)) + \n", + " geom_bar(position=\"dodge\", stat=\"identity\") + \n", + " ggtitle(\"Block Correlation 0.5\") + xlab(\"Number of Samples\") + ylab(\"#False Negatives\") + \n", + " theme(plot.title = element_text(hjust = 0.5), legend.position=\"top\") + \n", + " facet_grid(~P, labeller = label_both) + ylim(0, 6) + \n", + " scale_fill_brewer(palette=\"Dark2\", name=\"Method\",\n", + " breaks=c(\"compLasso\", \"elnet\", \"lasso\", \"rf\"),\n", + " labels=c(\"Compositional Lasso\", \"Elastic Net\", \"Lasso\", \"Random Forest\"))\n", + "ggsave('../figures_sim/figure_block_corr0.5_FN.pdf', height=5, width=5.5)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Correlation 0.7" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [], + "source": [ + "block_sub7 = block[block$Corr %in% 0.7, ]\n", + "\n", + "fig_num_select <- ggplot(block_sub7, aes(fill=method, y=num_select, x=N)) + \n", + " geom_bar(position=\"dodge\", stat=\"identity\") + \n", + " ggtitle(\"Block Correlation 0.7\") + xlab(\"Number of Samples\") + ylab(\"Number of Selected Features\") + \n", + " theme(plot.title = element_text(hjust = 0.5), legend.position=\"top\") + \n", + " facet_grid(~P, labeller = label_both) + ylim(0, 65) + \n", + " scale_fill_brewer(palette=\"Dark2\", name=\"Method\",\n", + " breaks=c(\"compLasso\", \"elnet\", \"lasso\", \"rf\"),\n", + " labels=c(\"Compositional Lasso\", \"Elastic Net\", \"Lasso\", \"Random Forest\"))\n", + "ggsave('../figures_sim/figure_block_corr0.7_num_select.pdf', height=5, width=5.5)\n", + "\n", + "fig_stab <- ggplot(block_sub7, aes(fill=method, y=Stab, x=N)) + \n", + " geom_bar(position=\"dodge\", stat=\"identity\") + \n", + " ggtitle(\"Block Correlation 0.7\") + xlab(\"Number of Samples\") + ylab(\"Stability\") + \n", + " theme(plot.title = element_text(hjust = 0.5), legend.position=\"top\") + \n", + " facet_grid(~P, labeller = label_both) + ylim(0, 1) + \n", + " scale_fill_brewer(palette=\"Dark2\", name=\"Method\",\n", + " breaks=c(\"compLasso\", \"elnet\", \"lasso\", \"rf\"),\n", + " labels=c(\"Compositional Lasso\", \"Elastic Net\", \"Lasso\", \"Random Forest\"))\n", + "ggsave('../figures_sim/figure_block_corr0.7_Stab.pdf', height=5, width=5.5)\n", + "\n", + "fig_mse <- ggplot(block_sub7, aes(fill=method, y=MSE_mean, x=N)) + \n", + " geom_bar(position=\"dodge\", stat=\"identity\") + \n", + " ggtitle(\"Block Correlation 0.7\") + xlab(\"Number of Samples\") + ylab(\"MSE\") + \n", + " theme(plot.title = element_text(hjust = 0.5), legend.position=\"top\") + \n", + " facet_grid(~P, labeller = label_both) + ylim(0, 3.5) + \n", + " scale_fill_brewer(palette=\"Dark2\", name=\"Method\",\n", + " breaks=c(\"compLasso\", \"elnet\", \"lasso\", \"rf\"),\n", + " labels=c(\"Compositional Lasso\", \"Elastic Net\", \"Lasso\", \"Random Forest\"))\n", + "ggsave('../figures_sim/figure_block_corr0.7_MSE.pdf', height=5, width=5.5)\n", + "\n", + "fig_FP <- ggplot(block_sub7, aes(fill=method, y=FP_mean, x=N)) + \n", + " geom_bar(position=\"dodge\", stat=\"identity\") + \n", + " ggtitle(\"Block Correlation 0.7\") + xlab(\"Number of Samples\") + ylab(\"#False Positives\") + \n", + " theme(plot.title = element_text(hjust = 0.5), legend.position=\"top\") + \n", + " facet_grid(~P, labeller = label_both) + ylim(0, 72) + \n", + " scale_fill_brewer(palette=\"Dark2\", name=\"Method\",\n", + " breaks=c(\"compLasso\", \"elnet\", \"lasso\", \"rf\"),\n", + " labels=c(\"Compositional Lasso\", \"Elastic Net\", \"Lasso\", \"Random Forest\"))\n", + "ggsave('../figures_sim/figure_block_corr0.7_FP.pdf', height=5, width=5.5)\n", + "\n", + "fig_FN <- ggplot(block_sub7, aes(fill=method, y=FN_mean, x=N)) + \n", + " geom_bar(position=\"dodge\", stat=\"identity\") + \n", + " ggtitle(\"Block Correlation 0.7\") + xlab(\"Number of Samples\") + ylab(\"#False Negatives\") + \n", + " theme(plot.title = element_text(hjust = 0.5), legend.position=\"top\") + \n", + " facet_grid(~P, labeller = label_both) + ylim(0, 6) + \n", + " scale_fill_brewer(palette=\"Dark2\", name=\"Method\",\n", + " breaks=c(\"compLasso\", \"elnet\", \"lasso\", \"rf\"),\n", + " labels=c(\"Compositional Lasso\", \"Elastic Net\", \"Lasso\", \"Random Forest\"))\n", + "ggsave('../figures_sim/figure_block_corr0.7_FN.pdf', height=5, width=5.5)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Correlation 0.9" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [], + "source": [ + "block_sub9 = block[block$Corr %in% 0.9, ]\n", + "\n", + "fig_num_select <- ggplot(block_sub9, aes(fill=method, y=num_select, x=N)) + \n", + " geom_bar(position=\"dodge\", stat=\"identity\") + \n", + " ggtitle(\"Block Correlation 0.9\") + xlab(\"Number of Samples\") + ylab(\"Number of Selected Features\") + \n", + " theme(plot.title = element_text(hjust = 0.5), legend.position=\"top\") + \n", + " facet_grid(~P, labeller = label_both) + ylim(0, 65) + \n", + " scale_fill_brewer(palette=\"Dark2\", name=\"Method\",\n", + " breaks=c(\"compLasso\", \"elnet\", \"lasso\", \"rf\"),\n", + " labels=c(\"Compositional Lasso\", \"Elastic Net\", \"Lasso\", \"Random Forest\"))\n", + "ggsave('../figures_sim/figure_block_corr0.9_num_select.pdf', height=5, width=5.5)\n", + "\n", + "fig_stab <- ggplot(block_sub9, aes(fill=method, y=Stab, x=N)) + \n", + " geom_bar(position=\"dodge\", stat=\"identity\") + \n", + " ggtitle(\"Block Correlation 0.9\") + xlab(\"Number of Samples\") + ylab(\"Stability\") + \n", + " theme(plot.title = element_text(hjust = 0.5), legend.position=\"top\") + \n", + " facet_grid(~P, labeller = label_both) + ylim(0, 1) + \n", + " scale_fill_brewer(palette=\"Dark2\", name=\"Method\",\n", + " breaks=c(\"compLasso\", \"elnet\", \"lasso\", \"rf\"),\n", + " labels=c(\"Compositional Lasso\", \"Elastic Net\", \"Lasso\", \"Random Forest\"))\n", + "ggsave('../figures_sim/figure_block_corr0.9_Stab.pdf', height=5, width=5.5)\n", + "\n", + "fig_mse <- ggplot(block_sub9, aes(fill=method, y=MSE_mean, x=N)) + \n", + " geom_bar(position=\"dodge\", stat=\"identity\") + \n", + " ggtitle(\"Block Correlation 0.9\") + xlab(\"Number of Samples\") + ylab(\"MSE\") + \n", + " theme(plot.title = element_text(hjust = 0.5), legend.position=\"top\") + \n", + " facet_grid(~P, labeller = label_both) + ylim(0, 3.5) + \n", + " scale_fill_brewer(palette=\"Dark2\", name=\"Method\",\n", + " breaks=c(\"compLasso\", \"elnet\", \"lasso\", \"rf\"),\n", + " labels=c(\"Compositional Lasso\", \"Elastic Net\", \"Lasso\", \"Random Forest\"))\n", + "ggsave('../figures_sim/figure_block_corr0.9_MSE.pdf', height=5, width=5.5)\n", + "\n", + "fig_FP <- ggplot(block_sub9, aes(fill=method, y=FP_mean, x=N)) + \n", + " geom_bar(position=\"dodge\", stat=\"identity\") + \n", + " ggtitle(\"Block Correlation 0.9\") + xlab(\"Number of Samples\") + ylab(\"#False Positives\") + \n", + " theme(plot.title = element_text(hjust = 0.5), legend.position=\"top\") + \n", + " facet_grid(~P, labeller = label_both) + ylim(0, 72) + \n", + " scale_fill_brewer(palette=\"Dark2\", name=\"Method\",\n", + " breaks=c(\"compLasso\", \"elnet\", \"lasso\", \"rf\"),\n", + " labels=c(\"Compositional Lasso\", \"Elastic Net\", \"Lasso\", \"Random Forest\"))\n", + "ggsave('../figures_sim/figure_block_corr0.9_FP.pdf', height=5, width=5.5)\n", + "\n", + "fig_FN <- ggplot(block_sub9, aes(fill=method, y=FN_mean, x=N)) + \n", + " geom_bar(position=\"dodge\", stat=\"identity\") + \n", + " ggtitle(\"Block Correlation 0.9\") + xlab(\"Number of Samples\") + ylab(\"#False Negatives\") + \n", + " theme(plot.title = element_text(hjust = 0.5), legend.position=\"top\") + \n", + " facet_grid(~P, labeller = label_both) + ylim(0, 6) + \n", + " scale_fill_brewer(palette=\"Dark2\", name=\"Method\",\n", + " breaks=c(\"compLasso\", \"elnet\", \"lasso\", \"rf\"),\n", + " labels=c(\"Compositional Lasso\", \"Elastic Net\", \"Lasso\", \"Random Forest\"))\n", + "ggsave('../figures_sim/figure_block_corr0.9_FN.pdf', height=5, width=5.5)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### All together" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "iVBORw0KGgoAAAANSUhEUgAAA0gAAANICAYAAAD958/bAAAEGWlDQ1BrQ0dDb2xvclNwYWNl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\nAABJRU5ErkJggg==", + "text/plain": [ + "plot without title" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "library(ggplot2)\n", + "library(ggpubr)\n", + "block$N = as.factor(block$N)\n", + "fig_block_stab = ggplot(block, aes(x=P, y=Stab, color=N)) + geom_point(aes(shape=method)) + ylab('Stability')\n", + "fig_block_mse = ggplot(block, aes(x=P, y=MSE_mean, color=N)) + geom_point(aes(shape=method)) + ylab('MSE')\n", + "fig_block_fp = ggplot(block, aes(x=P, y=FP_mean, color=N)) + geom_point(aes(shape=method)) + ylab('False Positives')\n", + "fig_block_fn = ggplot(block, aes(x=P, y=FN_mean, color=N)) + geom_point(aes(shape=method)) + ylab('False Negatives')\n", + "fig = ggarrange(fig_block_stab, fig_block_mse, fig_block_fp, fig_block_fn, ncol=2, nrow=2, \n", + " common.legend = TRUE, legend=\"bottom\") \n", + "fig = annotate_figure(fig, top = text_grob(\"Block\"))\n", + "fig" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "file saved to ../figures_sim/figure_block_summary.pdf\n" + ] + } + ], + "source": [ + "ggexport(fig, filename = \"../figures_sim/figure_block_summary.pdf\", height=8, width=8)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "R", + "language": "R", + "name": "ir" + }, + "language_info": { + "codemirror_mode": "r", + "file_extension": ".r", + "mimetype": "text/x-r-source", + "name": "R", + "pygments_lexer": "r", + "version": "3.6.1" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/simulations/notebooks_simulations/sim_indepdent_compLasso.ipynb b/simulations/notebooks_simulations/sim_indepdent_compLasso.ipynb new file mode 100644 index 0000000..091fdc5 --- /dev/null +++ b/simulations/notebooks_simulations/sim_indepdent_compLasso.ipynb @@ -0,0 +1,412 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "load('../sim_data/independent_compLasso.RData')" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "dir = '../sim_data'\n", + "dim.list = list()\n", + "size = c(50, 100, 500, 1000)\n", + "idx = 0\n", + "for (P in size){\n", + " for (N in size){\n", + " idx = idx + 1\n", + " dim.list[[idx]] = c(P=P, N=N)\n", + " }\n", + "}\n", + "\n", + "files = NULL\n", + "for (dim in dim.list){\n", + " p = dim[1]\n", + " n = dim[2]\n", + " files = cbind(files, paste0(dir, '/sim_independent_', paste('P', p, 'N', n, sep='_'), '.RData'))\n", + "}" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "avg_FDR = NULL\n", + "for (i in 1:length(files)){\n", + " sim_file = files[i]\n", + " load(sim_file, dat <- new.env())\n", + " sub = dat$sim_array[[i]]\n", + " p = sub$p # take true values from 1st replicate of each simulated data\n", + " coef = sub$beta\n", + " coef.true = which(coef != 0)\n", + " \n", + " tt = results_ind_compLasso[[i]]$Stab.table\n", + " \n", + " FDR = NULL\n", + " for (r in 1:nrow(tt)){\n", + " FDR = c(FDR, length(setdiff(which(tt[r, ] !=0), coef.true))/sum(tt[r, ]))\n", + "\n", + " }\n", + " \n", + " avg_FDR = c(avg_FDR, mean(FDR, na.rm=T))\n", + "}" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "table_ind = NULL\n", + "tmp_num_select = rep(0, length(results_ind_compLasso))\n", + "for (i in 1:length(results_ind_compLasso)){\n", + " table_ind = rbind(table_ind, results_ind_compLasso[[i]][c('n', 'p', 'rou', 'FP', 'FN', 'MSE', 'Stab')])\n", + " tmp_num_select[i] = mean(rowSums(results_ind_compLasso[[i]]$Stab.table))\n", + " \n", + "}\n", + "table_ind = as.data.frame(table_ind)\n", + "table_ind$num_select = tmp_num_select\n", + "table_ind$FDR = round(avg_FDR,2)" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", + "\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\n", + "
    nprouFPFNMSEStabnum_selectFDR
    50 50 0 2.99 ( 0.27 )0.05 ( 0.02 )0.8 ( 0.05 ) 0.61 8.94 0.28
    100 50 0 0.79 ( 0.15 )0 ( 0 ) 0.98 ( 0.06 )0.87 6.79 0.09
    500 50 0 0.51 ( 0.11 )0 ( 0 ) 1.08 ( 0.05 )0.91 6.51 0.06
    1000 50 0 0.39 ( 0.15 )0 ( 0 ) 1.18 ( 0.04 )0.93 6.39 0.04
    50 100 0 4.3 ( 0.31 ) 0.24 ( 0.05 )1.05 ( 0.07 )0.52 10.06 0.37
    100 100 0 1.02 ( 0.19 )0 ( 0 ) 0.94 ( 0.04 )0.85 7.02 0.11
    \n" + ], + "text/latex": [ + "\\begin{tabular}{r|lllllllll}\n", + " n & p & rou & FP & FN & MSE & Stab & num\\_select & FDR\\\\\n", + "\\hline\n", + "\t 50 & 50 & 0 & 2.99 ( 0.27 ) & 0.05 ( 0.02 ) & 0.8 ( 0.05 ) & 0.61 & 8.94 & 0.28 \\\\\n", + "\t 100 & 50 & 0 & 0.79 ( 0.15 ) & 0 ( 0 ) & 0.98 ( 0.06 ) & 0.87 & 6.79 & 0.09 \\\\\n", + "\t 500 & 50 & 0 & 0.51 ( 0.11 ) & 0 ( 0 ) & 1.08 ( 0.05 ) & 0.91 & 6.51 & 0.06 \\\\\n", + "\t 1000 & 50 & 0 & 0.39 ( 0.15 ) & 0 ( 0 ) & 1.18 ( 0.04 ) & 0.93 & 6.39 & 0.04 \\\\\n", + "\t 50 & 100 & 0 & 4.3 ( 0.31 ) & 0.24 ( 0.05 ) & 1.05 ( 0.07 ) & 0.52 & 10.06 & 0.37 \\\\\n", + "\t 100 & 100 & 0 & 1.02 ( 0.19 ) & 0 ( 0 ) & 0.94 ( 0.04 ) & 0.85 & 7.02 & 0.11 \\\\\n", + "\\end{tabular}\n" + ], + "text/markdown": [ + "\n", + "| n | p | rou | FP | FN | MSE | Stab | num_select | FDR |\n", + "|---|---|---|---|---|---|---|---|---|\n", + "| 50 | 50 | 0 | 2.99 ( 0.27 ) | 0.05 ( 0.02 ) | 0.8 ( 0.05 ) | 0.61 | 8.94 | 0.28 |\n", + "| 100 | 50 | 0 | 0.79 ( 0.15 ) | 0 ( 0 ) | 0.98 ( 0.06 ) | 0.87 | 6.79 | 0.09 |\n", + "| 500 | 50 | 0 | 0.51 ( 0.11 ) | 0 ( 0 ) | 1.08 ( 0.05 ) | 0.91 | 6.51 | 0.06 |\n", + "| 1000 | 50 | 0 | 0.39 ( 0.15 ) | 0 ( 0 ) | 1.18 ( 0.04 ) | 0.93 | 6.39 | 0.04 |\n", + "| 50 | 100 | 0 | 4.3 ( 0.31 ) | 0.24 ( 0.05 ) | 1.05 ( 0.07 ) | 0.52 | 10.06 | 0.37 |\n", + "| 100 | 100 | 0 | 1.02 ( 0.19 ) | 0 ( 0 ) | 0.94 ( 0.04 ) | 0.85 | 7.02 | 0.11 |\n", + "\n" + ], + "text/plain": [ + " n p rou FP FN MSE Stab num_select FDR \n", + "1 50 50 0 2.99 ( 0.27 ) 0.05 ( 0.02 ) 0.8 ( 0.05 ) 0.61 8.94 0.28\n", + "2 100 50 0 0.79 ( 0.15 ) 0 ( 0 ) 0.98 ( 0.06 ) 0.87 6.79 0.09\n", + "3 500 50 0 0.51 ( 0.11 ) 0 ( 0 ) 1.08 ( 0.05 ) 0.91 6.51 0.06\n", + "4 1000 50 0 0.39 ( 0.15 ) 0 ( 0 ) 1.18 ( 0.04 ) 0.93 6.39 0.04\n", + "5 50 100 0 4.3 ( 0.31 ) 0.24 ( 0.05 ) 1.05 ( 0.07 ) 0.52 10.06 0.37\n", + "6 100 100 0 1.02 ( 0.19 ) 0 ( 0 ) 0.94 ( 0.04 ) 0.85 7.02 0.11" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "head(table_ind)" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "extract_numeric() is deprecated: please use readr::parse_number() instead\n", + "extract_numeric() is deprecated: please use readr::parse_number() instead\n" + ] + } + ], + "source": [ + "# export result\n", + "result.table_ind <- apply(table_ind,2,as.character)\n", + "rownames(result.table_ind) = rownames(table_ind)\n", + "result.table_ind = as.data.frame(result.table_ind)\n", + "\n", + "# extract numbers only for 'n' & 'p'\n", + "result.table_ind$n = tidyr::extract_numeric(result.table_ind$n)\n", + "result.table_ind$p = tidyr::extract_numeric(result.table_ind$p)\n", + "result.table_ind$ratio = result.table_ind$p / result.table_ind$n\n", + "\n", + "result.table_ind = result.table_ind[c('n', 'p', 'ratio', 'Stab', 'MSE', 'FP', 'FN', 'num_select', 'FDR')]\n", + "colnames(result.table_ind)[1:3] = c('N', 'P', 'Ratio')" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Warning message in eval(expr, envir, enclos):\n", + "“NAs introduced by coercion”Warning message in eval(expr, envir, enclos):\n", + "“NAs introduced by coercion”" + ] + } + ], + "source": [ + "# convert interested measurements to be numeric\n", + "result.table_ind$Stab = as.numeric(as.character(result.table_ind$Stab))\n", + "result.table_ind$MSE_mean = as.numeric(substr(result.table_ind$MSE, start=1, stop=4))\n", + "result.table_ind$FP_mean = as.numeric(substr(result.table_ind$FP, start=1, stop=4))\n", + "result.table_ind$FN_mean = as.numeric(substr(result.table_ind$FN, start=1, stop=4))\n", + "result.table_ind$FN_mean[is.na(result.table_ind$FN_mean)] = 0\n", + "result.table_ind$num_select = as.numeric(as.character(result.table_ind$num_select))" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", + "\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\n", + "
    NPRatioStabMSEFPFNnum_selectFDRMSE_meanFP_meanFN_mean
    50 50 1.00 0.61 0.8 ( 0.05 ) 2.99 ( 0.27 )0.05 ( 0.02 ) 8.94 0.28 0.80 2.99 0.05
    100 50 0.50 0.87 0.98 ( 0.06 )0.79 ( 0.15 )0 ( 0 ) 6.79 0.09 0.98 0.79 0.00
    500 50 0.10 0.91 1.08 ( 0.05 )0.51 ( 0.11 )0 ( 0 ) 6.51 0.06 1.08 0.51 0.00
    1000 50 0.05 0.93 1.18 ( 0.04 )0.39 ( 0.15 )0 ( 0 ) 6.39 0.04 1.18 0.39 0.00
    50 100 2.00 0.52 1.05 ( 0.07 )4.3 ( 0.31 ) 0.24 ( 0.05 )10.06 0.37 1.05 4.30 0.24
    100 100 1.00 0.85 0.94 ( 0.04 )1.02 ( 0.19 )0 ( 0 ) 7.02 0.11 0.94 1.02 0.00
    500 100 0.20 0.96 1.16 ( 0.04 )0.25 ( 0.09 )0 ( 0 ) 6.25 0.03 1.16 0.25 0.00
    1000 100 0.10 0.89 1.04 ( 0.05 )0.71 ( 0.15 )0 ( 0 ) 6.71 0.08 1.04 0.71 0.00
    50 500 10.00 0.38 2.18 ( 0.13 )5.53 ( 0.36 )1.27 ( 0.11 )10.26 0.48 2.18 5.53 1.27
    100 500 5.00 0.75 1 ( 0.05 ) 1.9 ( 0.29 ) 0.03 ( 0.02 ) 7.87 0.18 1.00 1.90 0.03
    500 500 1.00 0.96 1.18 ( 0.04 )0.27 ( 0.13 )0 ( 0 ) 6.27 0.03 1.18 0.27 0.00
    1000 500 0.50 0.96 1.24 ( 0.04 )0.25 ( 0.1 ) 0 ( 0 ) 6.25 0.03 1.24 0.25 0.00
    50 1000 20.00 0.32 3.09 ( 0.23 )5.56 ( 0.36 )1.95 ( 0.14 ) 9.61 0.51 3.09 5.56 1.95
    100 1000 10.00 0.67 1.1 ( 0.07 ) 2.8 ( 0.37 ) 0.04 ( 0.02 ) 8.76 0.24 1.10 2.80 0.04
    500 1000 2.00 0.96 1.12 ( 0.04 )0.27 ( 0.08 )0 ( 0 ) 6.27 0.03 1.12 0.27 0.00
    1000 1000 1.00 0.96 1.16 ( 0.04 )0.24 ( 0.07 )0 ( 0 ) 6.24 0.03 1.16 0.24 0.00
    \n" + ], + "text/latex": [ + "\\begin{tabular}{r|llllllllllll}\n", + " N & P & Ratio & Stab & MSE & FP & FN & num\\_select & FDR & MSE\\_mean & FP\\_mean & FN\\_mean\\\\\n", + "\\hline\n", + "\t 50 & 50 & 1.00 & 0.61 & 0.8 ( 0.05 ) & 2.99 ( 0.27 ) & 0.05 ( 0.02 ) & 8.94 & 0.28 & 0.80 & 2.99 & 0.05 \\\\\n", + "\t 100 & 50 & 0.50 & 0.87 & 0.98 ( 0.06 ) & 0.79 ( 0.15 ) & 0 ( 0 ) & 6.79 & 0.09 & 0.98 & 0.79 & 0.00 \\\\\n", + "\t 500 & 50 & 0.10 & 0.91 & 1.08 ( 0.05 ) & 0.51 ( 0.11 ) & 0 ( 0 ) & 6.51 & 0.06 & 1.08 & 0.51 & 0.00 \\\\\n", + "\t 1000 & 50 & 0.05 & 0.93 & 1.18 ( 0.04 ) & 0.39 ( 0.15 ) & 0 ( 0 ) & 6.39 & 0.04 & 1.18 & 0.39 & 0.00 \\\\\n", + "\t 50 & 100 & 2.00 & 0.52 & 1.05 ( 0.07 ) & 4.3 ( 0.31 ) & 0.24 ( 0.05 ) & 10.06 & 0.37 & 1.05 & 4.30 & 0.24 \\\\\n", + "\t 100 & 100 & 1.00 & 0.85 & 0.94 ( 0.04 ) & 1.02 ( 0.19 ) & 0 ( 0 ) & 7.02 & 0.11 & 0.94 & 1.02 & 0.00 \\\\\n", + "\t 500 & 100 & 0.20 & 0.96 & 1.16 ( 0.04 ) & 0.25 ( 0.09 ) & 0 ( 0 ) & 6.25 & 0.03 & 1.16 & 0.25 & 0.00 \\\\\n", + "\t 1000 & 100 & 0.10 & 0.89 & 1.04 ( 0.05 ) & 0.71 ( 0.15 ) & 0 ( 0 ) & 6.71 & 0.08 & 1.04 & 0.71 & 0.00 \\\\\n", + "\t 50 & 500 & 10.00 & 0.38 & 2.18 ( 0.13 ) & 5.53 ( 0.36 ) & 1.27 ( 0.11 ) & 10.26 & 0.48 & 2.18 & 5.53 & 1.27 \\\\\n", + "\t 100 & 500 & 5.00 & 0.75 & 1 ( 0.05 ) & 1.9 ( 0.29 ) & 0.03 ( 0.02 ) & 7.87 & 0.18 & 1.00 & 1.90 & 0.03 \\\\\n", + "\t 500 & 500 & 1.00 & 0.96 & 1.18 ( 0.04 ) & 0.27 ( 0.13 ) & 0 ( 0 ) & 6.27 & 0.03 & 1.18 & 0.27 & 0.00 \\\\\n", + "\t 1000 & 500 & 0.50 & 0.96 & 1.24 ( 0.04 ) & 0.25 ( 0.1 ) & 0 ( 0 ) & 6.25 & 0.03 & 1.24 & 0.25 & 0.00 \\\\\n", + "\t 50 & 1000 & 20.00 & 0.32 & 3.09 ( 0.23 ) & 5.56 ( 0.36 ) & 1.95 ( 0.14 ) & 9.61 & 0.51 & 3.09 & 5.56 & 1.95 \\\\\n", + "\t 100 & 1000 & 10.00 & 0.67 & 1.1 ( 0.07 ) & 2.8 ( 0.37 ) & 0.04 ( 0.02 ) & 8.76 & 0.24 & 1.10 & 2.80 & 0.04 \\\\\n", + "\t 500 & 1000 & 2.00 & 0.96 & 1.12 ( 0.04 ) & 0.27 ( 0.08 ) & 0 ( 0 ) & 6.27 & 0.03 & 1.12 & 0.27 & 0.00 \\\\\n", + "\t 1000 & 1000 & 1.00 & 0.96 & 1.16 ( 0.04 ) & 0.24 ( 0.07 ) & 0 ( 0 ) & 6.24 & 0.03 & 1.16 & 0.24 & 0.00 \\\\\n", + "\\end{tabular}\n" + ], + "text/markdown": [ + "\n", + "| N | P | Ratio | Stab | MSE | FP | FN | num_select | FDR | MSE_mean | FP_mean | FN_mean |\n", + "|---|---|---|---|---|---|---|---|---|---|---|---|\n", + "| 50 | 50 | 1.00 | 0.61 | 0.8 ( 0.05 ) | 2.99 ( 0.27 ) | 0.05 ( 0.02 ) | 8.94 | 0.28 | 0.80 | 2.99 | 0.05 |\n", + "| 100 | 50 | 0.50 | 0.87 | 0.98 ( 0.06 ) | 0.79 ( 0.15 ) | 0 ( 0 ) | 6.79 | 0.09 | 0.98 | 0.79 | 0.00 |\n", + "| 500 | 50 | 0.10 | 0.91 | 1.08 ( 0.05 ) | 0.51 ( 0.11 ) | 0 ( 0 ) | 6.51 | 0.06 | 1.08 | 0.51 | 0.00 |\n", + "| 1000 | 50 | 0.05 | 0.93 | 1.18 ( 0.04 ) | 0.39 ( 0.15 ) | 0 ( 0 ) | 6.39 | 0.04 | 1.18 | 0.39 | 0.00 |\n", + "| 50 | 100 | 2.00 | 0.52 | 1.05 ( 0.07 ) | 4.3 ( 0.31 ) | 0.24 ( 0.05 ) | 10.06 | 0.37 | 1.05 | 4.30 | 0.24 |\n", + "| 100 | 100 | 1.00 | 0.85 | 0.94 ( 0.04 ) | 1.02 ( 0.19 ) | 0 ( 0 ) | 7.02 | 0.11 | 0.94 | 1.02 | 0.00 |\n", + "| 500 | 100 | 0.20 | 0.96 | 1.16 ( 0.04 ) | 0.25 ( 0.09 ) | 0 ( 0 ) | 6.25 | 0.03 | 1.16 | 0.25 | 0.00 |\n", + "| 1000 | 100 | 0.10 | 0.89 | 1.04 ( 0.05 ) | 0.71 ( 0.15 ) | 0 ( 0 ) | 6.71 | 0.08 | 1.04 | 0.71 | 0.00 |\n", + "| 50 | 500 | 10.00 | 0.38 | 2.18 ( 0.13 ) | 5.53 ( 0.36 ) | 1.27 ( 0.11 ) | 10.26 | 0.48 | 2.18 | 5.53 | 1.27 |\n", + "| 100 | 500 | 5.00 | 0.75 | 1 ( 0.05 ) | 1.9 ( 0.29 ) | 0.03 ( 0.02 ) | 7.87 | 0.18 | 1.00 | 1.90 | 0.03 |\n", + "| 500 | 500 | 1.00 | 0.96 | 1.18 ( 0.04 ) | 0.27 ( 0.13 ) | 0 ( 0 ) | 6.27 | 0.03 | 1.18 | 0.27 | 0.00 |\n", + "| 1000 | 500 | 0.50 | 0.96 | 1.24 ( 0.04 ) | 0.25 ( 0.1 ) | 0 ( 0 ) | 6.25 | 0.03 | 1.24 | 0.25 | 0.00 |\n", + "| 50 | 1000 | 20.00 | 0.32 | 3.09 ( 0.23 ) | 5.56 ( 0.36 ) | 1.95 ( 0.14 ) | 9.61 | 0.51 | 3.09 | 5.56 | 1.95 |\n", + "| 100 | 1000 | 10.00 | 0.67 | 1.1 ( 0.07 ) | 2.8 ( 0.37 ) | 0.04 ( 0.02 ) | 8.76 | 0.24 | 1.10 | 2.80 | 0.04 |\n", + "| 500 | 1000 | 2.00 | 0.96 | 1.12 ( 0.04 ) | 0.27 ( 0.08 ) | 0 ( 0 ) | 6.27 | 0.03 | 1.12 | 0.27 | 0.00 |\n", + "| 1000 | 1000 | 1.00 | 0.96 | 1.16 ( 0.04 ) | 0.24 ( 0.07 ) | 0 ( 0 ) | 6.24 | 0.03 | 1.16 | 0.24 | 0.00 |\n", + "\n" + ], + "text/plain": [ + " N P Ratio Stab MSE FP FN num_select\n", + "1 50 50 1.00 0.61 0.8 ( 0.05 ) 2.99 ( 0.27 ) 0.05 ( 0.02 ) 8.94 \n", + "2 100 50 0.50 0.87 0.98 ( 0.06 ) 0.79 ( 0.15 ) 0 ( 0 ) 6.79 \n", + "3 500 50 0.10 0.91 1.08 ( 0.05 ) 0.51 ( 0.11 ) 0 ( 0 ) 6.51 \n", + "4 1000 50 0.05 0.93 1.18 ( 0.04 ) 0.39 ( 0.15 ) 0 ( 0 ) 6.39 \n", + "5 50 100 2.00 0.52 1.05 ( 0.07 ) 4.3 ( 0.31 ) 0.24 ( 0.05 ) 10.06 \n", + "6 100 100 1.00 0.85 0.94 ( 0.04 ) 1.02 ( 0.19 ) 0 ( 0 ) 7.02 \n", + "7 500 100 0.20 0.96 1.16 ( 0.04 ) 0.25 ( 0.09 ) 0 ( 0 ) 6.25 \n", + "8 1000 100 0.10 0.89 1.04 ( 0.05 ) 0.71 ( 0.15 ) 0 ( 0 ) 6.71 \n", + "9 50 500 10.00 0.38 2.18 ( 0.13 ) 5.53 ( 0.36 ) 1.27 ( 0.11 ) 10.26 \n", + "10 100 500 5.00 0.75 1 ( 0.05 ) 1.9 ( 0.29 ) 0.03 ( 0.02 ) 7.87 \n", + "11 500 500 1.00 0.96 1.18 ( 0.04 ) 0.27 ( 0.13 ) 0 ( 0 ) 6.27 \n", + "12 1000 500 0.50 0.96 1.24 ( 0.04 ) 0.25 ( 0.1 ) 0 ( 0 ) 6.25 \n", + "13 50 1000 20.00 0.32 3.09 ( 0.23 ) 5.56 ( 0.36 ) 1.95 ( 0.14 ) 9.61 \n", + "14 100 1000 10.00 0.67 1.1 ( 0.07 ) 2.8 ( 0.37 ) 0.04 ( 0.02 ) 8.76 \n", + "15 500 1000 2.00 0.96 1.12 ( 0.04 ) 0.27 ( 0.08 ) 0 ( 0 ) 6.27 \n", + "16 1000 1000 1.00 0.96 1.16 ( 0.04 ) 0.24 ( 0.07 ) 0 ( 0 ) 6.24 \n", + " FDR MSE_mean FP_mean FN_mean\n", + "1 0.28 0.80 2.99 0.05 \n", + "2 0.09 0.98 0.79 0.00 \n", + "3 0.06 1.08 0.51 0.00 \n", + "4 0.04 1.18 0.39 0.00 \n", + "5 0.37 1.05 4.30 0.24 \n", + "6 0.11 0.94 1.02 0.00 \n", + "7 0.03 1.16 0.25 0.00 \n", + "8 0.08 1.04 0.71 0.00 \n", + "9 0.48 2.18 5.53 1.27 \n", + "10 0.18 1.00 1.90 0.03 \n", + "11 0.03 1.18 0.27 0.00 \n", + "12 0.03 1.24 0.25 0.00 \n", + "13 0.51 3.09 5.56 1.95 \n", + "14 0.24 1.10 2.80 0.04 \n", + "15 0.03 1.12 0.27 0.00 \n", + "16 0.03 1.16 0.24 0.00 " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# fix missing values\n", + "result.table_ind$MSE_mean[is.na(result.table_ind$MSE_mean)] = 1\n", + "result.table_ind" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [], + "source": [ + "## export\n", + "write.table(result.table_ind, '../results_summary/sim_ind_compLasso.txt', sep='\\t', row.names=F)" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Registered S3 methods overwritten by 'ggplot2':\n", + " method from \n", + " [.quosures rlang\n", + " c.quosures rlang\n", + " print.quosures rlang\n", + "Warning message:\n", + "“Removed 1 rows containing missing values (geom_point).”" + ] + }, + { + "data": { + "text/html": [ + "pdf: 2" + ], + "text/latex": [ + "\\textbf{pdf:} 2" + ], + "text/markdown": [ + "**pdf:** 2" + ], + "text/plain": [ + "pdf \n", + " 2 " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "library(ggplot2)\n", + "library(gridExtra)\n", + "pdf('../figures_sim/figure_independent_compLasso.pdf', height=5, width=7)\n", + "result.table_ind$N = as.factor(result.table_ind$N)\n", + "fig_ind_stab = ggplot(result.table_ind, aes(x=P, y=Stab, color=N)) + geom_point() + ylab('Stability')\n", + "fig_ind_mse = ggplot(result.table_ind, aes(x=P, y=MSE_mean, color=N)) + geom_point() + ylab('MSE')\n", + "fig_ind_fp = ggplot(result.table_ind, aes(x=P, y=FP_mean, color=N)) + geom_point() + ylab('False Positives')\n", + "fig_ind_fn = ggplot(result.table_ind, aes(x=P, y=FN_mean, color=N)) + geom_point() + ylab('False Negatives')\n", + "grid.arrange(fig_ind_stab, fig_ind_mse, fig_ind_fp, fig_ind_fn, ncol=2, top='Independent_compLasso')\n", + "dev.off()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "R", + "language": "R", + "name": "ir" + }, + "language_info": { + "codemirror_mode": "r", + "file_extension": ".r", + "mimetype": "text/x-r-source", + "name": "R", + "pygments_lexer": "r", + "version": "3.6.1" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/simulations/notebooks_simulations/sim_indepdent_elnet.ipynb b/simulations/notebooks_simulations/sim_indepdent_elnet.ipynb new file mode 100644 index 0000000..e1f30eb --- /dev/null +++ b/simulations/notebooks_simulations/sim_indepdent_elnet.ipynb @@ -0,0 +1,400 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "load('../sim_data/independent_Elnet.RData')" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "dir = '../sim_data'\n", + "dim.list = list()\n", + "size = c(50, 100, 500, 1000)\n", + "idx = 0\n", + "for (P in size){\n", + " for (N in size){\n", + " idx = idx + 1\n", + " dim.list[[idx]] = c(P=P, N=N)\n", + " }\n", + "}\n", + "\n", + "files = NULL\n", + "for (dim in dim.list){\n", + " p = dim[1]\n", + " n = dim[2]\n", + " files = cbind(files, paste0(dir, '/sim_independent_', paste('P', p, 'N', n, sep='_'), '.RData'))\n", + "}" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "avg_FDR = NULL\n", + "for (i in 1:length(files)){\n", + " sim_file = files[i]\n", + " load(sim_file, dat <- new.env())\n", + " sub = dat$sim_array[[i]]\n", + " p = sub$p # take true values from 1st replicate of each simulated data\n", + " coef = sub$beta\n", + " coef.true = which(coef != 0)\n", + " \n", + " tt = results_ind_elnet[[i]]$Stab.table\n", + " \n", + " FDR = NULL\n", + " for (r in 1:nrow(tt)){\n", + " FDR = c(FDR, length(setdiff(which(tt[r, ] !=0), coef.true))/sum(tt[r, ]))\n", + "\n", + " }\n", + " \n", + " avg_FDR = c(avg_FDR, mean(FDR, na.rm=T))\n", + "}" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [], + "source": [ + "table_ind = NULL\n", + "tmp_num_select = rep(0, length(results_ind_elnet))\n", + "for (i in 1:length(results_ind_elnet)){\n", + " table_ind = rbind(table_ind, results_ind_elnet[[i]][c('n', 'p', 'rou', 'FP', 'FN', 'MSE', 'Stab')])\n", + " tmp_num_select[i] = mean(rowSums(results_ind_elnet[[i]]$Stab.table))\n", + " \n", + "}\n", + "table_ind = as.data.frame(table_ind)\n", + "table_ind$num_select = tmp_num_select\n", + "table_ind$FDR = round(avg_FDR,2)" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", + "\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\n", + "
    nprouFPFNMSEStabnum_selectFDR
    50 50 0 14.99 ( 0.59 )0 ( 0 ) 0.53 ( 0.03 ) 0.2 19.99 0.67
    100 50 0 13.46 ( 0.55 )0 ( 0 ) 0.34 ( 0.01 ) 0.23 18.46 0.65
    500 50 0 13.65 ( 0.56 )0 ( 0 ) 0.26 ( 0 ) 0.23 18.65 0.64
    1000 50 0 11.76 ( 0.53 )0 ( 0 ) 0.25 ( 0 ) 0.27 16.76 0.60
    50 100 0 19.45 ( 0.66 )0.04 ( 0.02 ) 0.74 ( 0.06 ) 0.19 24.41 0.74
    100 100 0 19.2 ( 1.02 )0 ( 0 ) 0.38 ( 0.01 )0.2 24.20 0.71
    \n" + ], + "text/latex": [ + "\\begin{tabular}{r|lllllllll}\n", + " n & p & rou & FP & FN & MSE & Stab & num\\_select & FDR\\\\\n", + "\\hline\n", + "\t 50 & 50 & 0 & 14.99 ( 0.59 ) & 0 ( 0 ) & 0.53 ( 0.03 ) & 0.2 & 19.99 & 0.67 \\\\\n", + "\t 100 & 50 & 0 & 13.46 ( 0.55 ) & 0 ( 0 ) & 0.34 ( 0.01 ) & 0.23 & 18.46 & 0.65 \\\\\n", + "\t 500 & 50 & 0 & 13.65 ( 0.56 ) & 0 ( 0 ) & 0.26 ( 0 ) & 0.23 & 18.65 & 0.64 \\\\\n", + "\t 1000 & 50 & 0 & 11.76 ( 0.53 ) & 0 ( 0 ) & 0.25 ( 0 ) & 0.27 & 16.76 & 0.60 \\\\\n", + "\t 50 & 100 & 0 & 19.45 ( 0.66 ) & 0.04 ( 0.02 ) & 0.74 ( 0.06 ) & 0.19 & 24.41 & 0.74 \\\\\n", + "\t 100 & 100 & 0 & 19.2 ( 1.02 ) & 0 ( 0 ) & 0.38 ( 0.01 ) & 0.2 & 24.20 & 0.71 \\\\\n", + "\\end{tabular}\n" + ], + "text/markdown": [ + "\n", + "| n | p | rou | FP | FN | MSE | Stab | num_select | FDR |\n", + "|---|---|---|---|---|---|---|---|---|\n", + "| 50 | 50 | 0 | 14.99 ( 0.59 ) | 0 ( 0 ) | 0.53 ( 0.03 ) | 0.2 | 19.99 | 0.67 |\n", + "| 100 | 50 | 0 | 13.46 ( 0.55 ) | 0 ( 0 ) | 0.34 ( 0.01 ) | 0.23 | 18.46 | 0.65 |\n", + "| 500 | 50 | 0 | 13.65 ( 0.56 ) | 0 ( 0 ) | 0.26 ( 0 ) | 0.23 | 18.65 | 0.64 |\n", + "| 1000 | 50 | 0 | 11.76 ( 0.53 ) | 0 ( 0 ) | 0.25 ( 0 ) | 0.27 | 16.76 | 0.60 |\n", + "| 50 | 100 | 0 | 19.45 ( 0.66 ) | 0.04 ( 0.02 ) | 0.74 ( 0.06 ) | 0.19 | 24.41 | 0.74 |\n", + "| 100 | 100 | 0 | 19.2 ( 1.02 ) | 0 ( 0 ) | 0.38 ( 0.01 ) | 0.2 | 24.20 | 0.71 |\n", + "\n" + ], + "text/plain": [ + " n p rou FP FN MSE Stab num_select FDR \n", + "1 50 50 0 14.99 ( 0.59 ) 0 ( 0 ) 0.53 ( 0.03 ) 0.2 19.99 0.67\n", + "2 100 50 0 13.46 ( 0.55 ) 0 ( 0 ) 0.34 ( 0.01 ) 0.23 18.46 0.65\n", + "3 500 50 0 13.65 ( 0.56 ) 0 ( 0 ) 0.26 ( 0 ) 0.23 18.65 0.64\n", + "4 1000 50 0 11.76 ( 0.53 ) 0 ( 0 ) 0.25 ( 0 ) 0.27 16.76 0.60\n", + "5 50 100 0 19.45 ( 0.66 ) 0.04 ( 0.02 ) 0.74 ( 0.06 ) 0.19 24.41 0.74\n", + "6 100 100 0 19.2 ( 1.02 ) 0 ( 0 ) 0.38 ( 0.01 ) 0.2 24.20 0.71" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "head(table_ind)" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "extract_numeric() is deprecated: please use readr::parse_number() instead\n", + "extract_numeric() is deprecated: please use readr::parse_number() instead\n" + ] + } + ], + "source": [ + "# export result\n", + "result.table_ind <- apply(table_ind,2,as.character)\n", + "rownames(result.table_ind) = rownames(table_ind)\n", + "result.table_ind = as.data.frame(result.table_ind)\n", + "\n", + "# extract numbers only for 'n' & 'p'\n", + "result.table_ind$n = tidyr::extract_numeric(result.table_ind$n)\n", + "result.table_ind$p = tidyr::extract_numeric(result.table_ind$p)\n", + "result.table_ind$ratio = result.table_ind$p / result.table_ind$n\n", + "\n", + "result.table_ind = result.table_ind[c('n', 'p', 'ratio', 'Stab', 'MSE', 'FP', 'FN', 'num_select', 'FDR')]\n", + "colnames(result.table_ind)[1:3] = c('N', 'P', 'Ratio')" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Warning message in eval(expr, envir, enclos):\n", + "“NAs introduced by coercion”" + ] + } + ], + "source": [ + "# convert interested measurements to be numeric\n", + "result.table_ind$Stab = as.numeric(as.character(result.table_ind$Stab))\n", + "result.table_ind$MSE_mean = as.numeric(substr(result.table_ind$MSE, start=1, stop=4))\n", + "result.table_ind$FP_mean = as.numeric(substr(result.table_ind$FP, start=1, stop=4))\n", + "result.table_ind$FN_mean = as.numeric(substr(result.table_ind$FN, start=1, stop=4))\n", + "result.table_ind$FN_mean[is.na(result.table_ind$FN_mean)] = 0\n", + "result.table_ind$num_select = as.numeric(as.character(result.table_ind$num_select))" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", + "\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\n", + "
    NPRatioStabMSEFPFNnum_selectFDRMSE_meanFP_meanFN_mean
    50 50 1.00 0.20 0.53 ( 0.03 ) 14.99 ( 0.59 )0 ( 0 ) 19.99 0.67 0.53 14.9 0.00
    100 50 0.50 0.23 0.34 ( 0.01 ) 13.46 ( 0.55 )0 ( 0 ) 18.46 0.65 0.34 13.4 0.00
    500 50 0.10 0.23 0.26 ( 0 ) 13.65 ( 0.56 )0 ( 0 ) 18.65 0.64 0.26 13.6 0.00
    1000 50 0.05 0.27 0.25 ( 0 ) 11.76 ( 0.53 )0 ( 0 ) 16.76 0.6 0.25 11.7 0.00
    50 100 2.00 0.19 0.74 ( 0.06 ) 19.45 ( 0.66 )0.04 ( 0.02 ) 24.41 0.74 0.74 19.4 0.04
    100 100 1.00 0.20 0.38 ( 0.01 ) 19.2 ( 1.02 ) 0 ( 0 ) 24.20 0.71 0.38 19.2 0.00
    500 100 0.20 0.23 0.27 ( 0 ) 16.28 ( 0.78 )0 ( 0 ) 21.28 0.67 0.27 16.2 0.00
    1000 100 0.10 0.23 0.26 ( 0 ) 17.05 ( 0.76 )0 ( 0 ) 22.05 0.69 0.26 17.0 0.00
    50 500 10.00 0.13 1.65 ( 0.13 ) 30.38 ( 1.24 )0.58 ( 0.08 ) 34.80 0.83 1.65 30.3 0.58
    100 500 5.00 0.15 0.5 ( 0.02 ) 32.18 ( 1.44 )0 ( 0 ) 37.18 0.81 0.50 32.1 0.00
    500 500 1.00 0.16 0.28 ( 0 ) 29.79 ( 1.73 )0 ( 0 ) 34.79 0.78 0.28 29.7 0.00
    1000 500 0.50 0.18 0.26 ( 0 ) 27.21 ( 1.58 )0 ( 0 ) 32.21 0.77 0.26 27.2 0.00
    50 1000 20.00 0.10 2.5 ( 0.22 ) 36.6 ( 2.03 ) 1.12 ( 0.09 ) 40.48 0.86 2.50 36.6 1.12
    100 1000 10.00 0.13 0.56 ( 0.02 ) 40.61 ( 1.71 )0 ( 0 ) 45.61 0.85 0.56 40.6 0.00
    500 1000 2.00 0.14 0.27 ( 0 ) 35.98 ( 2.2 ) 0 ( 0 ) 40.98 0.8 0.27 35.9 0.00
    1000 1000 1.00 0.15 0.27 ( 0 ) 34.65 ( 2.02 )0 ( 0 ) 39.65 0.79 0.27 34.6 0.00
    \n" + ], + "text/latex": [ + "\\begin{tabular}{r|llllllllllll}\n", + " N & P & Ratio & Stab & MSE & FP & FN & num\\_select & FDR & MSE\\_mean & FP\\_mean & FN\\_mean\\\\\n", + "\\hline\n", + "\t 50 & 50 & 1.00 & 0.20 & 0.53 ( 0.03 ) & 14.99 ( 0.59 ) & 0 ( 0 ) & 19.99 & 0.67 & 0.53 & 14.9 & 0.00 \\\\\n", + "\t 100 & 50 & 0.50 & 0.23 & 0.34 ( 0.01 ) & 13.46 ( 0.55 ) & 0 ( 0 ) & 18.46 & 0.65 & 0.34 & 13.4 & 0.00 \\\\\n", + "\t 500 & 50 & 0.10 & 0.23 & 0.26 ( 0 ) & 13.65 ( 0.56 ) & 0 ( 0 ) & 18.65 & 0.64 & 0.26 & 13.6 & 0.00 \\\\\n", + "\t 1000 & 50 & 0.05 & 0.27 & 0.25 ( 0 ) & 11.76 ( 0.53 ) & 0 ( 0 ) & 16.76 & 0.6 & 0.25 & 11.7 & 0.00 \\\\\n", + "\t 50 & 100 & 2.00 & 0.19 & 0.74 ( 0.06 ) & 19.45 ( 0.66 ) & 0.04 ( 0.02 ) & 24.41 & 0.74 & 0.74 & 19.4 & 0.04 \\\\\n", + "\t 100 & 100 & 1.00 & 0.20 & 0.38 ( 0.01 ) & 19.2 ( 1.02 ) & 0 ( 0 ) & 24.20 & 0.71 & 0.38 & 19.2 & 0.00 \\\\\n", + "\t 500 & 100 & 0.20 & 0.23 & 0.27 ( 0 ) & 16.28 ( 0.78 ) & 0 ( 0 ) & 21.28 & 0.67 & 0.27 & 16.2 & 0.00 \\\\\n", + "\t 1000 & 100 & 0.10 & 0.23 & 0.26 ( 0 ) & 17.05 ( 0.76 ) & 0 ( 0 ) & 22.05 & 0.69 & 0.26 & 17.0 & 0.00 \\\\\n", + "\t 50 & 500 & 10.00 & 0.13 & 1.65 ( 0.13 ) & 30.38 ( 1.24 ) & 0.58 ( 0.08 ) & 34.80 & 0.83 & 1.65 & 30.3 & 0.58 \\\\\n", + "\t 100 & 500 & 5.00 & 0.15 & 0.5 ( 0.02 ) & 32.18 ( 1.44 ) & 0 ( 0 ) & 37.18 & 0.81 & 0.50 & 32.1 & 0.00 \\\\\n", + "\t 500 & 500 & 1.00 & 0.16 & 0.28 ( 0 ) & 29.79 ( 1.73 ) & 0 ( 0 ) & 34.79 & 0.78 & 0.28 & 29.7 & 0.00 \\\\\n", + "\t 1000 & 500 & 0.50 & 0.18 & 0.26 ( 0 ) & 27.21 ( 1.58 ) & 0 ( 0 ) & 32.21 & 0.77 & 0.26 & 27.2 & 0.00 \\\\\n", + "\t 50 & 1000 & 20.00 & 0.10 & 2.5 ( 0.22 ) & 36.6 ( 2.03 ) & 1.12 ( 0.09 ) & 40.48 & 0.86 & 2.50 & 36.6 & 1.12 \\\\\n", + "\t 100 & 1000 & 10.00 & 0.13 & 0.56 ( 0.02 ) & 40.61 ( 1.71 ) & 0 ( 0 ) & 45.61 & 0.85 & 0.56 & 40.6 & 0.00 \\\\\n", + "\t 500 & 1000 & 2.00 & 0.14 & 0.27 ( 0 ) & 35.98 ( 2.2 ) & 0 ( 0 ) & 40.98 & 0.8 & 0.27 & 35.9 & 0.00 \\\\\n", + "\t 1000 & 1000 & 1.00 & 0.15 & 0.27 ( 0 ) & 34.65 ( 2.02 ) & 0 ( 0 ) & 39.65 & 0.79 & 0.27 & 34.6 & 0.00 \\\\\n", + "\\end{tabular}\n" + ], + "text/markdown": [ + "\n", + "| N | P | Ratio | Stab | MSE | FP | FN | num_select | FDR | MSE_mean | FP_mean | FN_mean |\n", + "|---|---|---|---|---|---|---|---|---|---|---|---|\n", + "| 50 | 50 | 1.00 | 0.20 | 0.53 ( 0.03 ) | 14.99 ( 0.59 ) | 0 ( 0 ) | 19.99 | 0.67 | 0.53 | 14.9 | 0.00 |\n", + "| 100 | 50 | 0.50 | 0.23 | 0.34 ( 0.01 ) | 13.46 ( 0.55 ) | 0 ( 0 ) | 18.46 | 0.65 | 0.34 | 13.4 | 0.00 |\n", + "| 500 | 50 | 0.10 | 0.23 | 0.26 ( 0 ) | 13.65 ( 0.56 ) | 0 ( 0 ) | 18.65 | 0.64 | 0.26 | 13.6 | 0.00 |\n", + "| 1000 | 50 | 0.05 | 0.27 | 0.25 ( 0 ) | 11.76 ( 0.53 ) | 0 ( 0 ) | 16.76 | 0.6 | 0.25 | 11.7 | 0.00 |\n", + "| 50 | 100 | 2.00 | 0.19 | 0.74 ( 0.06 ) | 19.45 ( 0.66 ) | 0.04 ( 0.02 ) | 24.41 | 0.74 | 0.74 | 19.4 | 0.04 |\n", + "| 100 | 100 | 1.00 | 0.20 | 0.38 ( 0.01 ) | 19.2 ( 1.02 ) | 0 ( 0 ) | 24.20 | 0.71 | 0.38 | 19.2 | 0.00 |\n", + "| 500 | 100 | 0.20 | 0.23 | 0.27 ( 0 ) | 16.28 ( 0.78 ) | 0 ( 0 ) | 21.28 | 0.67 | 0.27 | 16.2 | 0.00 |\n", + "| 1000 | 100 | 0.10 | 0.23 | 0.26 ( 0 ) | 17.05 ( 0.76 ) | 0 ( 0 ) | 22.05 | 0.69 | 0.26 | 17.0 | 0.00 |\n", + "| 50 | 500 | 10.00 | 0.13 | 1.65 ( 0.13 ) | 30.38 ( 1.24 ) | 0.58 ( 0.08 ) | 34.80 | 0.83 | 1.65 | 30.3 | 0.58 |\n", + "| 100 | 500 | 5.00 | 0.15 | 0.5 ( 0.02 ) | 32.18 ( 1.44 ) | 0 ( 0 ) | 37.18 | 0.81 | 0.50 | 32.1 | 0.00 |\n", + "| 500 | 500 | 1.00 | 0.16 | 0.28 ( 0 ) | 29.79 ( 1.73 ) | 0 ( 0 ) | 34.79 | 0.78 | 0.28 | 29.7 | 0.00 |\n", + "| 1000 | 500 | 0.50 | 0.18 | 0.26 ( 0 ) | 27.21 ( 1.58 ) | 0 ( 0 ) | 32.21 | 0.77 | 0.26 | 27.2 | 0.00 |\n", + "| 50 | 1000 | 20.00 | 0.10 | 2.5 ( 0.22 ) | 36.6 ( 2.03 ) | 1.12 ( 0.09 ) | 40.48 | 0.86 | 2.50 | 36.6 | 1.12 |\n", + "| 100 | 1000 | 10.00 | 0.13 | 0.56 ( 0.02 ) | 40.61 ( 1.71 ) | 0 ( 0 ) | 45.61 | 0.85 | 0.56 | 40.6 | 0.00 |\n", + "| 500 | 1000 | 2.00 | 0.14 | 0.27 ( 0 ) | 35.98 ( 2.2 ) | 0 ( 0 ) | 40.98 | 0.8 | 0.27 | 35.9 | 0.00 |\n", + "| 1000 | 1000 | 1.00 | 0.15 | 0.27 ( 0 ) | 34.65 ( 2.02 ) | 0 ( 0 ) | 39.65 | 0.79 | 0.27 | 34.6 | 0.00 |\n", + "\n" + ], + "text/plain": [ + " N P Ratio Stab MSE FP FN num_select\n", + "1 50 50 1.00 0.20 0.53 ( 0.03 ) 14.99 ( 0.59 ) 0 ( 0 ) 19.99 \n", + "2 100 50 0.50 0.23 0.34 ( 0.01 ) 13.46 ( 0.55 ) 0 ( 0 ) 18.46 \n", + "3 500 50 0.10 0.23 0.26 ( 0 ) 13.65 ( 0.56 ) 0 ( 0 ) 18.65 \n", + "4 1000 50 0.05 0.27 0.25 ( 0 ) 11.76 ( 0.53 ) 0 ( 0 ) 16.76 \n", + "5 50 100 2.00 0.19 0.74 ( 0.06 ) 19.45 ( 0.66 ) 0.04 ( 0.02 ) 24.41 \n", + "6 100 100 1.00 0.20 0.38 ( 0.01 ) 19.2 ( 1.02 ) 0 ( 0 ) 24.20 \n", + "7 500 100 0.20 0.23 0.27 ( 0 ) 16.28 ( 0.78 ) 0 ( 0 ) 21.28 \n", + "8 1000 100 0.10 0.23 0.26 ( 0 ) 17.05 ( 0.76 ) 0 ( 0 ) 22.05 \n", + "9 50 500 10.00 0.13 1.65 ( 0.13 ) 30.38 ( 1.24 ) 0.58 ( 0.08 ) 34.80 \n", + "10 100 500 5.00 0.15 0.5 ( 0.02 ) 32.18 ( 1.44 ) 0 ( 0 ) 37.18 \n", + "11 500 500 1.00 0.16 0.28 ( 0 ) 29.79 ( 1.73 ) 0 ( 0 ) 34.79 \n", + "12 1000 500 0.50 0.18 0.26 ( 0 ) 27.21 ( 1.58 ) 0 ( 0 ) 32.21 \n", + "13 50 1000 20.00 0.10 2.5 ( 0.22 ) 36.6 ( 2.03 ) 1.12 ( 0.09 ) 40.48 \n", + "14 100 1000 10.00 0.13 0.56 ( 0.02 ) 40.61 ( 1.71 ) 0 ( 0 ) 45.61 \n", + "15 500 1000 2.00 0.14 0.27 ( 0 ) 35.98 ( 2.2 ) 0 ( 0 ) 40.98 \n", + "16 1000 1000 1.00 0.15 0.27 ( 0 ) 34.65 ( 2.02 ) 0 ( 0 ) 39.65 \n", + " FDR MSE_mean FP_mean FN_mean\n", + "1 0.67 0.53 14.9 0.00 \n", + "2 0.65 0.34 13.4 0.00 \n", + "3 0.64 0.26 13.6 0.00 \n", + "4 0.6 0.25 11.7 0.00 \n", + "5 0.74 0.74 19.4 0.04 \n", + "6 0.71 0.38 19.2 0.00 \n", + "7 0.67 0.27 16.2 0.00 \n", + "8 0.69 0.26 17.0 0.00 \n", + "9 0.83 1.65 30.3 0.58 \n", + "10 0.81 0.50 32.1 0.00 \n", + "11 0.78 0.28 29.7 0.00 \n", + "12 0.77 0.26 27.2 0.00 \n", + "13 0.86 2.50 36.6 1.12 \n", + "14 0.85 0.56 40.6 0.00 \n", + "15 0.8 0.27 35.9 0.00 \n", + "16 0.79 0.27 34.6 0.00 " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "result.table_ind\n", + "\n", + "## export\n", + "write.table(result.table_ind, '../results_summary/sim_ind_elnet.txt', sep='\\t', row.names=F)" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Registered S3 methods overwritten by 'ggplot2':\n", + " method from \n", + " [.quosures rlang\n", + " c.quosures rlang\n", + " print.quosures rlang\n" + ] + }, + { + "data": { + "text/html": [ + "pdf: 2" + ], + "text/latex": [ + "\\textbf{pdf:} 2" + ], + "text/markdown": [ + "**pdf:** 2" + ], + "text/plain": [ + "pdf \n", + " 2 " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "library(ggplot2)\n", + "library(gridExtra)\n", + "pdf('../figures_sim/figure_independent_elnet.pdf', height=5, width=7)\n", + "result.table_ind$N = as.factor(result.table_ind$N)\n", + "fig_ind_stab = ggplot(result.table_ind, aes(x=P, y=Stab, color=N)) + geom_point() + ylab('Stability')\n", + "fig_ind_mse = ggplot(result.table_ind, aes(x=P, y=MSE_mean, color=N)) + geom_point() + ylab('MSE')\n", + "fig_ind_fp = ggplot(result.table_ind, aes(x=P, y=FP_mean, color=N)) + geom_point() + ylab('False Positives')\n", + "fig_ind_fn = ggplot(result.table_ind, aes(x=P, y=FN_mean, color=N)) + geom_point() + ylab('False Negatives')\n", + "grid.arrange(fig_ind_stab, fig_ind_mse, fig_ind_fp, fig_ind_fn, ncol=2, top='Independent_ElasticNet')\n", + "dev.off()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "R", + "language": "R", + "name": "ir" + }, + "language_info": { + "codemirror_mode": "r", + "file_extension": ".r", + "mimetype": "text/x-r-source", + "name": "R", + "pygments_lexer": "r", + "version": "3.6.1" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/simulations/notebooks_simulations/sim_indepdent_lasso.ipynb b/simulations/notebooks_simulations/sim_indepdent_lasso.ipynb new file mode 100644 index 0000000..11f71fa --- /dev/null +++ b/simulations/notebooks_simulations/sim_indepdent_lasso.ipynb @@ -0,0 +1,375 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "load('../sim_data/independent_Lasso.RData')" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "dir = '../sim_data'\n", + "dim.list = list()\n", + "size = c(50, 100, 500, 1000)\n", + "idx = 0\n", + "for (P in size){\n", + " for (N in size){\n", + " idx = idx + 1\n", + " dim.list[[idx]] = c(P=P, N=N)\n", + " }\n", + "}\n", + "\n", + "files = NULL\n", + "for (dim in dim.list){\n", + " p = dim[1]\n", + " n = dim[2]\n", + " files = cbind(files, paste0(dir, '/sim_independent_', paste('P', p, 'N', n, sep='_'), '.RData'))\n", + "}" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "avg_FDR = NULL\n", + "for (i in 1:length(files)){\n", + " sim_file = files[i]\n", + " load(sim_file, dat <- new.env())\n", + " sub = dat$sim_array[[i]]\n", + " p = sub$p # take true values from 1st replicate of each simulated data\n", + " coef = sub$beta\n", + " coef.true = which(coef != 0)\n", + " \n", + " tt = results_ind_lasso[[i]]$Stab.table\n", + " \n", + " FDR = NULL\n", + " for (r in 1:nrow(tt)){\n", + " FDR = c(FDR, length(setdiff(which(tt[r, ] !=0), coef.true))/sum(tt[r, ]))\n", + "\n", + " }\n", + " \n", + " avg_FDR = c(avg_FDR, mean(FDR, na.rm=T))\n", + "}\n" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": {}, + "outputs": [], + "source": [ + "table_ind = NULL\n", + "tmp_num_select = rep(0, length(results_ind_lasso))\n", + "for (i in 1:length(results_ind_lasso)){\n", + " table_ind = rbind(table_ind, results_ind_lasso[[i]][c('n', 'p', 'rou', 'FP', 'FN', 'MSE', 'Stab')])\n", + " tmp_num_select[i] = mean(rowSums(results_ind_lasso[[i]]$Stab.table))\n", + " \n", + "}\n", + "table_ind = as.data.frame(table_ind)\n", + "table_ind$num_select = tmp_num_select\n", + "table_ind$FDR = round(avg_FDR,2)" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", + "\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\n", + "
    nprouFPFNMSEStabnum_selectFDR
    50 50 0 8.36 ( 0.45 )0.02 ( 0.01 )0.54 ( 0.03 )0.37 13.34 0.51
    100 50 0 5.5 ( 0.42 ) 0 ( 0 ) 0.36 ( 0.01 )0.51 10.50 0.37
    500 50 0 2.33 ( 0.14 )0 ( 0 ) 0.28 ( 0 ) 0.79 7.33 0.15
    1000 50 0 1.82 ( 0.13 )0 ( 0 ) 0.26 ( 0 ) 0.86 6.82 0.10
    50 100 0 11.1 ( 0.38 )0.08 ( 0.03 )0.66 ( 0.04 )0.32 16.02 0.61
    100 100 0 7.23 ( 0.4 ) 0 ( 0 ) 0.41 ( 0.01 )0.46 12.23 0.46
    \n" + ], + "text/latex": [ + "\\begin{tabular}{r|lllllllll}\n", + " n & p & rou & FP & FN & MSE & Stab & num\\_select & FDR\\\\\n", + "\\hline\n", + "\t 50 & 50 & 0 & 8.36 ( 0.45 ) & 0.02 ( 0.01 ) & 0.54 ( 0.03 ) & 0.37 & 13.34 & 0.51 \\\\\n", + "\t 100 & 50 & 0 & 5.5 ( 0.42 ) & 0 ( 0 ) & 0.36 ( 0.01 ) & 0.51 & 10.50 & 0.37 \\\\\n", + "\t 500 & 50 & 0 & 2.33 ( 0.14 ) & 0 ( 0 ) & 0.28 ( 0 ) & 0.79 & 7.33 & 0.15 \\\\\n", + "\t 1000 & 50 & 0 & 1.82 ( 0.13 ) & 0 ( 0 ) & 0.26 ( 0 ) & 0.86 & 6.82 & 0.10 \\\\\n", + "\t 50 & 100 & 0 & 11.1 ( 0.38 ) & 0.08 ( 0.03 ) & 0.66 ( 0.04 ) & 0.32 & 16.02 & 0.61 \\\\\n", + "\t 100 & 100 & 0 & 7.23 ( 0.4 ) & 0 ( 0 ) & 0.41 ( 0.01 ) & 0.46 & 12.23 & 0.46 \\\\\n", + "\\end{tabular}\n" + ], + "text/markdown": [ + "\n", + "| n | p | rou | FP | FN | MSE | Stab | num_select | FDR |\n", + "|---|---|---|---|---|---|---|---|---|\n", + "| 50 | 50 | 0 | 8.36 ( 0.45 ) | 0.02 ( 0.01 ) | 0.54 ( 0.03 ) | 0.37 | 13.34 | 0.51 |\n", + "| 100 | 50 | 0 | 5.5 ( 0.42 ) | 0 ( 0 ) | 0.36 ( 0.01 ) | 0.51 | 10.50 | 0.37 |\n", + "| 500 | 50 | 0 | 2.33 ( 0.14 ) | 0 ( 0 ) | 0.28 ( 0 ) | 0.79 | 7.33 | 0.15 |\n", + "| 1000 | 50 | 0 | 1.82 ( 0.13 ) | 0 ( 0 ) | 0.26 ( 0 ) | 0.86 | 6.82 | 0.10 |\n", + "| 50 | 100 | 0 | 11.1 ( 0.38 ) | 0.08 ( 0.03 ) | 0.66 ( 0.04 ) | 0.32 | 16.02 | 0.61 |\n", + "| 100 | 100 | 0 | 7.23 ( 0.4 ) | 0 ( 0 ) | 0.41 ( 0.01 ) | 0.46 | 12.23 | 0.46 |\n", + "\n" + ], + "text/plain": [ + " n p rou FP FN MSE Stab num_select FDR \n", + "1 50 50 0 8.36 ( 0.45 ) 0.02 ( 0.01 ) 0.54 ( 0.03 ) 0.37 13.34 0.51\n", + "2 100 50 0 5.5 ( 0.42 ) 0 ( 0 ) 0.36 ( 0.01 ) 0.51 10.50 0.37\n", + "3 500 50 0 2.33 ( 0.14 ) 0 ( 0 ) 0.28 ( 0 ) 0.79 7.33 0.15\n", + "4 1000 50 0 1.82 ( 0.13 ) 0 ( 0 ) 0.26 ( 0 ) 0.86 6.82 0.10\n", + "5 50 100 0 11.1 ( 0.38 ) 0.08 ( 0.03 ) 0.66 ( 0.04 ) 0.32 16.02 0.61\n", + "6 100 100 0 7.23 ( 0.4 ) 0 ( 0 ) 0.41 ( 0.01 ) 0.46 12.23 0.46" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "head(table_ind)" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "extract_numeric() is deprecated: please use readr::parse_number() instead\n", + "extract_numeric() is deprecated: please use readr::parse_number() instead\n" + ] + } + ], + "source": [ + "# export result\n", + "result.table_ind <- apply(table_ind,2,as.character)\n", + "rownames(result.table_ind) = rownames(table_ind)\n", + "result.table_ind = as.data.frame(result.table_ind)\n", + "\n", + "# extract numbers only for 'n' & 'p'\n", + "result.table_ind$n = tidyr::extract_numeric(result.table_ind$n)\n", + "result.table_ind$p = tidyr::extract_numeric(result.table_ind$p)\n", + "result.table_ind$ratio = result.table_ind$p / result.table_ind$n\n", + "\n", + "result.table_ind = result.table_ind[c('n', 'p', 'ratio', 'Stab', 'MSE', 'FP', 'FN', 'num_select', 'FDR')]\n", + "colnames(result.table_ind)[1:3] = c('N', 'P', 'Ratio')" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Warning message in eval(expr, envir, enclos):\n", + "“NAs introduced by coercion”" + ] + } + ], + "source": [ + "# convert interested measurements to be numeric\n", + "result.table_ind$Stab = as.numeric(as.character(result.table_ind$Stab))\n", + "result.table_ind$MSE_mean = as.numeric(substr(result.table_ind$MSE, start=1, stop=4))\n", + "result.table_ind$FP_mean = as.numeric(substr(result.table_ind$FP, start=1, stop=4))\n", + "result.table_ind$FN_mean = as.numeric(substr(result.table_ind$FN, start=1, stop=4))\n", + "result.table_ind$FN_mean[is.na(result.table_ind$FN_mean)] = 0\n", + "result.table_ind$num_select = as.numeric(as.character(result.table_ind$num_select))" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", + "\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\n", + "
    NPRatioStabMSEFPFNnum_selectFDRMSE_meanFP_meanFN_mean
    50 50 1.00 0.37 0.54 ( 0.03 ) 8.36 ( 0.45 ) 0.02 ( 0.01 ) 13.34 0.51 0.54 8.36 0.02
    100 50 0.50 0.51 0.36 ( 0.01 ) 5.5 ( 0.42 ) 0 ( 0 ) 10.50 0.37 0.36 5.50 0.00
    500 50 0.10 0.79 0.28 ( 0 ) 2.33 ( 0.14 ) 0 ( 0 ) 7.33 0.15 0.28 2.33 0.00
    1000 50 0.05 0.86 0.26 ( 0 ) 1.82 ( 0.13 ) 0 ( 0 ) 6.82 0.1 0.26 1.82 0.00
    50 100 2.00 0.32 0.66 ( 0.04 ) 11.1 ( 0.38 ) 0.08 ( 0.03 ) 16.02 0.61 0.66 11.10 0.08
    100 100 1.00 0.46 0.41 ( 0.01 ) 7.23 ( 0.4 ) 0 ( 0 ) 12.23 0.46 0.41 7.23 0.00
    500 100 0.20 0.71 0.29 ( 0 ) 3.26 ( 0.25 ) 0 ( 0 ) 8.26 0.22 0.29 3.26 0.00
    1000 100 0.10 0.82 0.27 ( 0 ) 2.25 ( 0.15 ) 0 ( 0 ) 7.25 0.15 0.27 2.25 0.00
    50 500 10.00 0.19 1.41 ( 0.11 ) 19.89 ( 0.38 )0.64 ( 0.08 ) 24.25 0.77 1.41 19.80 0.64
    100 500 5.00 0.30 0.48 ( 0.02 ) 14.71 ( 0.7 ) 0 ( 0 ) 19.71 0.66 0.48 14.70 0.00
    500 500 1.00 0.61 0.28 ( 0 ) 4.82 ( 0.34 ) 0 ( 0 ) 9.82 0.32 0.28 4.82 0.00
    1000 500 0.50 0.72 0.27 ( 0 ) 3.35 ( 0.32 ) 0 ( 0 ) 8.35 0.21 0.27 3.35 0.00
    50 1000 20.00 0.14 2.24 ( 0.19 ) 23.95 ( 0.37 )1.19 ( 0.09 ) 27.76 0.82 2.24 23.90 1.19
    100 1000 10.00 0.25 0.53 ( 0.02 ) 18.53 ( 0.59 )0 ( 0 ) 23.53 0.73 0.53 18.50 0.00
    500 1000 2.00 0.52 0.29 ( 0 ) 6.51 ( 0.45 ) 0 ( 0 ) 11.51 0.4 0.29 6.51 0.00
    1000 1000 1.00 0.64 0.27 ( 0 ) 4.39 ( 0.56 ) 0 ( 0 ) 9.39 0.26 0.27 4.39 0.00
    \n" + ], + "text/latex": [ + "\\begin{tabular}{r|llllllllllll}\n", + " N & P & Ratio & Stab & MSE & FP & FN & num\\_select & FDR & MSE\\_mean & FP\\_mean & FN\\_mean\\\\\n", + "\\hline\n", + "\t 50 & 50 & 1.00 & 0.37 & 0.54 ( 0.03 ) & 8.36 ( 0.45 ) & 0.02 ( 0.01 ) & 13.34 & 0.51 & 0.54 & 8.36 & 0.02 \\\\\n", + "\t 100 & 50 & 0.50 & 0.51 & 0.36 ( 0.01 ) & 5.5 ( 0.42 ) & 0 ( 0 ) & 10.50 & 0.37 & 0.36 & 5.50 & 0.00 \\\\\n", + "\t 500 & 50 & 0.10 & 0.79 & 0.28 ( 0 ) & 2.33 ( 0.14 ) & 0 ( 0 ) & 7.33 & 0.15 & 0.28 & 2.33 & 0.00 \\\\\n", + "\t 1000 & 50 & 0.05 & 0.86 & 0.26 ( 0 ) & 1.82 ( 0.13 ) & 0 ( 0 ) & 6.82 & 0.1 & 0.26 & 1.82 & 0.00 \\\\\n", + "\t 50 & 100 & 2.00 & 0.32 & 0.66 ( 0.04 ) & 11.1 ( 0.38 ) & 0.08 ( 0.03 ) & 16.02 & 0.61 & 0.66 & 11.10 & 0.08 \\\\\n", + "\t 100 & 100 & 1.00 & 0.46 & 0.41 ( 0.01 ) & 7.23 ( 0.4 ) & 0 ( 0 ) & 12.23 & 0.46 & 0.41 & 7.23 & 0.00 \\\\\n", + "\t 500 & 100 & 0.20 & 0.71 & 0.29 ( 0 ) & 3.26 ( 0.25 ) & 0 ( 0 ) & 8.26 & 0.22 & 0.29 & 3.26 & 0.00 \\\\\n", + "\t 1000 & 100 & 0.10 & 0.82 & 0.27 ( 0 ) & 2.25 ( 0.15 ) & 0 ( 0 ) & 7.25 & 0.15 & 0.27 & 2.25 & 0.00 \\\\\n", + "\t 50 & 500 & 10.00 & 0.19 & 1.41 ( 0.11 ) & 19.89 ( 0.38 ) & 0.64 ( 0.08 ) & 24.25 & 0.77 & 1.41 & 19.80 & 0.64 \\\\\n", + "\t 100 & 500 & 5.00 & 0.30 & 0.48 ( 0.02 ) & 14.71 ( 0.7 ) & 0 ( 0 ) & 19.71 & 0.66 & 0.48 & 14.70 & 0.00 \\\\\n", + "\t 500 & 500 & 1.00 & 0.61 & 0.28 ( 0 ) & 4.82 ( 0.34 ) & 0 ( 0 ) & 9.82 & 0.32 & 0.28 & 4.82 & 0.00 \\\\\n", + "\t 1000 & 500 & 0.50 & 0.72 & 0.27 ( 0 ) & 3.35 ( 0.32 ) & 0 ( 0 ) & 8.35 & 0.21 & 0.27 & 3.35 & 0.00 \\\\\n", + "\t 50 & 1000 & 20.00 & 0.14 & 2.24 ( 0.19 ) & 23.95 ( 0.37 ) & 1.19 ( 0.09 ) & 27.76 & 0.82 & 2.24 & 23.90 & 1.19 \\\\\n", + "\t 100 & 1000 & 10.00 & 0.25 & 0.53 ( 0.02 ) & 18.53 ( 0.59 ) & 0 ( 0 ) & 23.53 & 0.73 & 0.53 & 18.50 & 0.00 \\\\\n", + "\t 500 & 1000 & 2.00 & 0.52 & 0.29 ( 0 ) & 6.51 ( 0.45 ) & 0 ( 0 ) & 11.51 & 0.4 & 0.29 & 6.51 & 0.00 \\\\\n", + "\t 1000 & 1000 & 1.00 & 0.64 & 0.27 ( 0 ) & 4.39 ( 0.56 ) & 0 ( 0 ) & 9.39 & 0.26 & 0.27 & 4.39 & 0.00 \\\\\n", + "\\end{tabular}\n" + ], + "text/markdown": [ + "\n", + "| N | P | Ratio | Stab | MSE | FP | FN | num_select | FDR | MSE_mean | FP_mean | FN_mean |\n", + "|---|---|---|---|---|---|---|---|---|---|---|---|\n", + "| 50 | 50 | 1.00 | 0.37 | 0.54 ( 0.03 ) | 8.36 ( 0.45 ) | 0.02 ( 0.01 ) | 13.34 | 0.51 | 0.54 | 8.36 | 0.02 |\n", + "| 100 | 50 | 0.50 | 0.51 | 0.36 ( 0.01 ) | 5.5 ( 0.42 ) | 0 ( 0 ) | 10.50 | 0.37 | 0.36 | 5.50 | 0.00 |\n", + "| 500 | 50 | 0.10 | 0.79 | 0.28 ( 0 ) | 2.33 ( 0.14 ) | 0 ( 0 ) | 7.33 | 0.15 | 0.28 | 2.33 | 0.00 |\n", + "| 1000 | 50 | 0.05 | 0.86 | 0.26 ( 0 ) | 1.82 ( 0.13 ) | 0 ( 0 ) | 6.82 | 0.1 | 0.26 | 1.82 | 0.00 |\n", + "| 50 | 100 | 2.00 | 0.32 | 0.66 ( 0.04 ) | 11.1 ( 0.38 ) | 0.08 ( 0.03 ) | 16.02 | 0.61 | 0.66 | 11.10 | 0.08 |\n", + "| 100 | 100 | 1.00 | 0.46 | 0.41 ( 0.01 ) | 7.23 ( 0.4 ) | 0 ( 0 ) | 12.23 | 0.46 | 0.41 | 7.23 | 0.00 |\n", + "| 500 | 100 | 0.20 | 0.71 | 0.29 ( 0 ) | 3.26 ( 0.25 ) | 0 ( 0 ) | 8.26 | 0.22 | 0.29 | 3.26 | 0.00 |\n", + "| 1000 | 100 | 0.10 | 0.82 | 0.27 ( 0 ) | 2.25 ( 0.15 ) | 0 ( 0 ) | 7.25 | 0.15 | 0.27 | 2.25 | 0.00 |\n", + "| 50 | 500 | 10.00 | 0.19 | 1.41 ( 0.11 ) | 19.89 ( 0.38 ) | 0.64 ( 0.08 ) | 24.25 | 0.77 | 1.41 | 19.80 | 0.64 |\n", + "| 100 | 500 | 5.00 | 0.30 | 0.48 ( 0.02 ) | 14.71 ( 0.7 ) | 0 ( 0 ) | 19.71 | 0.66 | 0.48 | 14.70 | 0.00 |\n", + "| 500 | 500 | 1.00 | 0.61 | 0.28 ( 0 ) | 4.82 ( 0.34 ) | 0 ( 0 ) | 9.82 | 0.32 | 0.28 | 4.82 | 0.00 |\n", + "| 1000 | 500 | 0.50 | 0.72 | 0.27 ( 0 ) | 3.35 ( 0.32 ) | 0 ( 0 ) | 8.35 | 0.21 | 0.27 | 3.35 | 0.00 |\n", + "| 50 | 1000 | 20.00 | 0.14 | 2.24 ( 0.19 ) | 23.95 ( 0.37 ) | 1.19 ( 0.09 ) | 27.76 | 0.82 | 2.24 | 23.90 | 1.19 |\n", + "| 100 | 1000 | 10.00 | 0.25 | 0.53 ( 0.02 ) | 18.53 ( 0.59 ) | 0 ( 0 ) | 23.53 | 0.73 | 0.53 | 18.50 | 0.00 |\n", + "| 500 | 1000 | 2.00 | 0.52 | 0.29 ( 0 ) | 6.51 ( 0.45 ) | 0 ( 0 ) | 11.51 | 0.4 | 0.29 | 6.51 | 0.00 |\n", + "| 1000 | 1000 | 1.00 | 0.64 | 0.27 ( 0 ) | 4.39 ( 0.56 ) | 0 ( 0 ) | 9.39 | 0.26 | 0.27 | 4.39 | 0.00 |\n", + "\n" + ], + "text/plain": [ + " N P Ratio Stab MSE FP FN num_select\n", + "1 50 50 1.00 0.37 0.54 ( 0.03 ) 8.36 ( 0.45 ) 0.02 ( 0.01 ) 13.34 \n", + "2 100 50 0.50 0.51 0.36 ( 0.01 ) 5.5 ( 0.42 ) 0 ( 0 ) 10.50 \n", + "3 500 50 0.10 0.79 0.28 ( 0 ) 2.33 ( 0.14 ) 0 ( 0 ) 7.33 \n", + "4 1000 50 0.05 0.86 0.26 ( 0 ) 1.82 ( 0.13 ) 0 ( 0 ) 6.82 \n", + "5 50 100 2.00 0.32 0.66 ( 0.04 ) 11.1 ( 0.38 ) 0.08 ( 0.03 ) 16.02 \n", + "6 100 100 1.00 0.46 0.41 ( 0.01 ) 7.23 ( 0.4 ) 0 ( 0 ) 12.23 \n", + "7 500 100 0.20 0.71 0.29 ( 0 ) 3.26 ( 0.25 ) 0 ( 0 ) 8.26 \n", + "8 1000 100 0.10 0.82 0.27 ( 0 ) 2.25 ( 0.15 ) 0 ( 0 ) 7.25 \n", + "9 50 500 10.00 0.19 1.41 ( 0.11 ) 19.89 ( 0.38 ) 0.64 ( 0.08 ) 24.25 \n", + "10 100 500 5.00 0.30 0.48 ( 0.02 ) 14.71 ( 0.7 ) 0 ( 0 ) 19.71 \n", + "11 500 500 1.00 0.61 0.28 ( 0 ) 4.82 ( 0.34 ) 0 ( 0 ) 9.82 \n", + "12 1000 500 0.50 0.72 0.27 ( 0 ) 3.35 ( 0.32 ) 0 ( 0 ) 8.35 \n", + "13 50 1000 20.00 0.14 2.24 ( 0.19 ) 23.95 ( 0.37 ) 1.19 ( 0.09 ) 27.76 \n", + "14 100 1000 10.00 0.25 0.53 ( 0.02 ) 18.53 ( 0.59 ) 0 ( 0 ) 23.53 \n", + "15 500 1000 2.00 0.52 0.29 ( 0 ) 6.51 ( 0.45 ) 0 ( 0 ) 11.51 \n", + "16 1000 1000 1.00 0.64 0.27 ( 0 ) 4.39 ( 0.56 ) 0 ( 0 ) 9.39 \n", + " FDR MSE_mean FP_mean FN_mean\n", + "1 0.51 0.54 8.36 0.02 \n", + "2 0.37 0.36 5.50 0.00 \n", + "3 0.15 0.28 2.33 0.00 \n", + "4 0.1 0.26 1.82 0.00 \n", + "5 0.61 0.66 11.10 0.08 \n", + "6 0.46 0.41 7.23 0.00 \n", + "7 0.22 0.29 3.26 0.00 \n", + "8 0.15 0.27 2.25 0.00 \n", + "9 0.77 1.41 19.80 0.64 \n", + "10 0.66 0.48 14.70 0.00 \n", + "11 0.32 0.28 4.82 0.00 \n", + "12 0.21 0.27 3.35 0.00 \n", + "13 0.82 2.24 23.90 1.19 \n", + "14 0.73 0.53 18.50 0.00 \n", + "15 0.4 0.29 6.51 0.00 \n", + "16 0.26 0.27 4.39 0.00 " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "result.table_ind\n", + "\n", + "## export\n", + "write.table(result.table_ind, '../results_summary/sim_ind_lasso.txt', sep='\\t', row.names=F)" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "pdf: 2" + ], + "text/latex": [ + "\\textbf{pdf:} 2" + ], + "text/markdown": [ + "**pdf:** 2" + ], + "text/plain": [ + "pdf \n", + " 2 " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "library(ggplot2)\n", + "library(gridExtra)\n", + "pdf('../figures_sim/figure_independent_lasso.pdf', height=5, width=7)\n", + "result.table_ind$N = as.factor(result.table_ind$N)\n", + "fig_ind_stab = ggplot(result.table_ind, aes(x=P, y=Stab, color=N)) + geom_point() + ylab('Stability')\n", + "fig_ind_mse = ggplot(result.table_ind, aes(x=P, y=MSE_mean, color=N)) + geom_point() + ylab('MSE')\n", + "fig_ind_fp = ggplot(result.table_ind, aes(x=P, y=FP_mean, color=N)) + geom_point() + ylab('False Positives')\n", + "fig_ind_fn = ggplot(result.table_ind, aes(x=P, y=FN_mean, color=N)) + geom_point() + ylab('False Negatives')\n", + "grid.arrange(fig_ind_stab, fig_ind_mse, fig_ind_fp, fig_ind_fn, ncol=2, top='Independent_Lasso')\n", + "dev.off()" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "R", + "language": "R", + "name": "ir" + }, + "language_info": { + "codemirror_mode": "r", + "file_extension": ".r", + "mimetype": "text/x-r-source", + "name": "R", + "pygments_lexer": "r", + "version": "3.6.1" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/simulations/notebooks_simulations/sim_indepdent_rf.ipynb b/simulations/notebooks_simulations/sim_indepdent_rf.ipynb new file mode 100644 index 0000000..5f79fe5 --- /dev/null +++ b/simulations/notebooks_simulations/sim_indepdent_rf.ipynb @@ -0,0 +1,594 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "load('../sim_data/independent_RF.RData')" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "dir = '../sim_data'\n", + "dim.list = list()\n", + "size = c(50, 100, 500, 1000)\n", + "idx = 0\n", + "for (P in size){\n", + " for (N in size){\n", + " idx = idx + 1\n", + " dim.list[[idx]] = c(P=P, N=N)\n", + " }\n", + "}\n", + "\n", + "files = NULL\n", + "for (dim in dim.list){\n", + " p = dim[1]\n", + " n = dim[2]\n", + " files = cbind(files, paste0(dir, '/sim_independent_', paste('P', p, 'N', n, sep='_'), '.RData'))\n", + "}" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "avg_FDR = NULL\n", + "for (i in 1:length(files)){\n", + " sim_file = files[i]\n", + " load(sim_file, dat <- new.env())\n", + " sub = dat$sim_array[[i]]\n", + " p = sub$p # take true values from 1st replicate of each simulated data\n", + " coef = sub$beta\n", + " coef.true = which(coef != 0)\n", + " \n", + " tt = results_ind_rf[[i]]$Stab.table\n", + " \n", + " FDR = NULL\n", + " for (r in 1:nrow(tt)){\n", + " FDR = c(FDR, length(setdiff(which(tt[r, ] !=0), coef.true))/sum(tt[r, ]))\n", + "\n", + " }\n", + " \n", + " avg_FDR = c(avg_FDR, mean(FDR, na.rm=T))\n", + "}" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "metadata": {}, + "outputs": [], + "source": [ + "table_ind = NULL\n", + "tmp_num_select = rep(0, length(results_ind_rf))\n", + "for (i in 1:length(results_ind_rf)){\n", + " results_ind_rf[[i]]$OOB = paste(round(mean(results_ind_rf[[i]]$OOB.list, na.rm=T),2),\n", + " '(', round(FSA::se(results_ind_rf[[i]]$OOB.list, na.rm=T),2), ')')\n", + " table_ind = rbind(table_ind, results_ind_rf[[i]][c('n', 'p', 'rou', 'FP', 'FN', 'MSE', 'Stab', 'OOB')])\n", + " tmp_num_select[i] = mean(rowSums(results_ind_rf[[i]]$Stab.table))\n", + "}\n", + "table_ind = as.data.frame(table_ind)\n", + "table_ind$num_select = tmp_num_select\n", + "table_ind$FDR = round(avg_FDR,2)" + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", + "\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\n", + "
    nprouFPFNMSEStabOOBnum_selectFDR
    50 50 0 1 ( 0 ) 6 ( 0 ) 1.31 ( 0.06 )NaN 2.09 ( 0.02 )0.00 NaN
    100 50 0 1.85 ( 0.11 )4.11 ( 0.1 ) 0.85 ( 0.02 )0.18 1.79 ( 0.01 )3.74 0.48
    500 50 0 0.3 ( 0.05 ) 1.61 ( 0.08 )0.47 ( 0.01 )0.8 1.31 ( 0 ) 4.69 0.05
    1000 50 0 0.07 ( 0.03 )0.78 ( 0.07 )0.35 ( 0 ) 0.88 1.17 ( 0 ) 5.29 0.01
    50 100 0 1 ( 0 ) 6 ( 0 ) 1.32 ( 0.05 )NaN 2.23 ( 0.02 )0.00 NaN
    100 100 0 4.33 ( 0.22 )4.45 ( 0.09 )0.91 ( 0.03 )0.08 2.02 ( 0.01 )5.88 0.72
    \n" + ], + "text/latex": [ + "\\begin{tabular}{r|llllllllll}\n", + " n & p & rou & FP & FN & MSE & Stab & OOB & num\\_select & FDR\\\\\n", + "\\hline\n", + "\t 50 & 50 & 0 & 1 ( 0 ) & 6 ( 0 ) & 1.31 ( 0.06 ) & NaN & 2.09 ( 0.02 ) & 0.00 & NaN \\\\\n", + "\t 100 & 50 & 0 & 1.85 ( 0.11 ) & 4.11 ( 0.1 ) & 0.85 ( 0.02 ) & 0.18 & 1.79 ( 0.01 ) & 3.74 & 0.48 \\\\\n", + "\t 500 & 50 & 0 & 0.3 ( 0.05 ) & 1.61 ( 0.08 ) & 0.47 ( 0.01 ) & 0.8 & 1.31 ( 0 ) & 4.69 & 0.05 \\\\\n", + "\t 1000 & 50 & 0 & 0.07 ( 0.03 ) & 0.78 ( 0.07 ) & 0.35 ( 0 ) & 0.88 & 1.17 ( 0 ) & 5.29 & 0.01 \\\\\n", + "\t 50 & 100 & 0 & 1 ( 0 ) & 6 ( 0 ) & 1.32 ( 0.05 ) & NaN & 2.23 ( 0.02 ) & 0.00 & NaN \\\\\n", + "\t 100 & 100 & 0 & 4.33 ( 0.22 ) & 4.45 ( 0.09 ) & 0.91 ( 0.03 ) & 0.08 & 2.02 ( 0.01 ) & 5.88 & 0.72 \\\\\n", + "\\end{tabular}\n" + ], + "text/markdown": [ + "\n", + "| n | p | rou | FP | FN | MSE | Stab | OOB | num_select | FDR |\n", + "|---|---|---|---|---|---|---|---|---|---|\n", + "| 50 | 50 | 0 | 1 ( 0 ) | 6 ( 0 ) | 1.31 ( 0.06 ) | NaN | 2.09 ( 0.02 ) | 0.00 | NaN |\n", + "| 100 | 50 | 0 | 1.85 ( 0.11 ) | 4.11 ( 0.1 ) | 0.85 ( 0.02 ) | 0.18 | 1.79 ( 0.01 ) | 3.74 | 0.48 |\n", + "| 500 | 50 | 0 | 0.3 ( 0.05 ) | 1.61 ( 0.08 ) | 0.47 ( 0.01 ) | 0.8 | 1.31 ( 0 ) | 4.69 | 0.05 |\n", + "| 1000 | 50 | 0 | 0.07 ( 0.03 ) | 0.78 ( 0.07 ) | 0.35 ( 0 ) | 0.88 | 1.17 ( 0 ) | 5.29 | 0.01 |\n", + "| 50 | 100 | 0 | 1 ( 0 ) | 6 ( 0 ) | 1.32 ( 0.05 ) | NaN | 2.23 ( 0.02 ) | 0.00 | NaN |\n", + "| 100 | 100 | 0 | 4.33 ( 0.22 ) | 4.45 ( 0.09 ) | 0.91 ( 0.03 ) | 0.08 | 2.02 ( 0.01 ) | 5.88 | 0.72 |\n", + "\n" + ], + "text/plain": [ + " n p rou FP FN MSE Stab OOB \n", + "1 50 50 0 1 ( 0 ) 6 ( 0 ) 1.31 ( 0.06 ) NaN 2.09 ( 0.02 )\n", + "2 100 50 0 1.85 ( 0.11 ) 4.11 ( 0.1 ) 0.85 ( 0.02 ) 0.18 1.79 ( 0.01 )\n", + "3 500 50 0 0.3 ( 0.05 ) 1.61 ( 0.08 ) 0.47 ( 0.01 ) 0.8 1.31 ( 0 ) \n", + "4 1000 50 0 0.07 ( 0.03 ) 0.78 ( 0.07 ) 0.35 ( 0 ) 0.88 1.17 ( 0 ) \n", + "5 50 100 0 1 ( 0 ) 6 ( 0 ) 1.32 ( 0.05 ) NaN 2.23 ( 0.02 )\n", + "6 100 100 0 4.33 ( 0.22 ) 4.45 ( 0.09 ) 0.91 ( 0.03 ) 0.08 2.02 ( 0.01 )\n", + " num_select FDR \n", + "1 0.00 NaN\n", + "2 3.74 0.48\n", + "3 4.69 0.05\n", + "4 5.29 0.01\n", + "5 0.00 NaN\n", + "6 5.88 0.72" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "head(table_ind)" + ] + }, + { + "cell_type": "code", + "execution_count": 33, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "extract_numeric() is deprecated: please use readr::parse_number() instead\n", + "extract_numeric() is deprecated: please use readr::parse_number() instead\n" + ] + } + ], + "source": [ + "# export result\n", + "result.table_ind <- apply(table_ind,2,as.character)\n", + "rownames(result.table_ind) = rownames(table_ind)\n", + "result.table_ind = as.data.frame(result.table_ind)\n", + "\n", + "# extract numbers only for 'n' & 'p'\n", + "result.table_ind$n = tidyr::extract_numeric(result.table_ind$n)\n", + "result.table_ind$p = tidyr::extract_numeric(result.table_ind$p)\n", + "result.table_ind$ratio = result.table_ind$p / result.table_ind$n\n", + "\n", + "result.table_ind = result.table_ind[c('n', 'p', 'ratio', 'Stab', 'MSE', 'FP', 'FN', 'OOB', 'num_select', 'FDR')]\n", + "colnames(result.table_ind)[1:3] = c('N', 'P', 'Ratio')\n", + "result.table_ind$Index = seq(1, length(results_ind_rf), 1)" + ] + }, + { + "cell_type": "code", + "execution_count": 34, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Warning message in eval(expr, envir, enclos):\n", + "“NAs introduced by coercion”Warning message in eval(expr, envir, enclos):\n", + "“NAs introduced by coercion”" + ] + } + ], + "source": [ + "# convert interested measurements to be numeric\n", + "result.table_ind$Stab = as.numeric(as.character(result.table_ind$Stab))\n", + "result.table_ind$MSE_mean = as.numeric(substr(result.table_ind$MSE, start=1, stop=4))\n", + "result.table_ind$FP_mean = as.numeric(substr(result.table_ind$FP, start=1, stop=4))\n", + "result.table_ind$FN_mean = as.numeric(substr(result.table_ind$FN, start=1, stop=4))\n", + "result.table_ind$OOB_mean = as.numeric(substr(result.table_ind$OOB, start=1, stop=4))\n", + "result.table_ind$num_select = as.numeric(as.character(result.table_ind$num_select))\n", + "#result.table_ind$FDR = as.numeric(as.character(result.table_ind$FDR))" + ] + }, + { + "cell_type": "code", + "execution_count": 35, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", + "\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\n", + "
    NPRatioStabMSEFPFNOOBnum_selectFDRIndexMSE_meanFP_meanFN_meanOOB_mean
    50 50 1.00 NaN 1.31 ( 0.06 ) 1 ( 0 ) 6 ( 0 ) 2.09 ( 0.02 ) 0.00 NaN 1 1.31 NA NA 2.09
    100 50 0.50 0.18 0.85 ( 0.02 ) 1.85 ( 0.11 ) 4.11 ( 0.1 ) 1.79 ( 0.01 ) 3.74 0.48 2 0.85 1.85 4.11 1.79
    500 50 0.10 0.80 0.47 ( 0.01 ) 0.3 ( 0.05 ) 1.61 ( 0.08 ) 1.31 ( 0 ) 4.69 0.05 3 0.47 0.30 1.61 1.31
    1000 50 0.05 0.88 0.35 ( 0 ) 0.07 ( 0.03 ) 0.78 ( 0.07 ) 1.17 ( 0 ) 5.29 0.01 4 0.35 0.07 0.78 1.17
    50 100 2.00 NaN 1.32 ( 0.05 ) 1 ( 0 ) 6 ( 0 ) 2.23 ( 0.02 ) 0.00 NaN 5 1.32 NA NA 2.23
    100 100 1.00 0.08 0.91 ( 0.03 ) 4.33 ( 0.22 ) 4.45 ( 0.09 ) 2.02 ( 0.01 ) 5.88 0.72 6 0.91 4.33 4.45 2.02
    500 100 0.20 0.60 0.59 ( 0.01 ) 1.91 ( 0.15 ) 1.41 ( 0.07 ) 1.54 ( 0 ) 6.50 0.27 7 0.59 1.91 1.41 1.54
    1000 100 0.10 0.81 0.47 ( 0 ) 0.71 ( 0.09 ) 0.53 ( 0.06 ) 1.39 ( 0 ) 6.18 0.1 8 0.47 0.71 0.53 1.39
    50 500 10.00 NaN 1.33 ( 0.05 ) 1 ( 0 ) 6 ( 0 ) 2.48 ( 0.03 ) 0.00 NaN 9 1.33 NA NA 2.48
    100 500 5.00 0.02 1.07 ( 0.03 ) 23.8 ( 0.52 ) 4.26 ( 0.1 ) 2.43 ( 0.02 ) 25.54 0.93 10 1.07 23.80 4.26 2.43
    500 500 1.00 0.14 0.84 ( 0.01 ) 19.92 ( 0.41 )1.71 ( 0.08 ) 2.14 ( 0.01 ) 24.21 0.82 11 0.84 19.90 1.71 2.14
    1000 500 0.50 0.19 0.78 ( 0.01 ) 18.73 ( 0.42 )0.84 ( 0.06 ) 2.06 ( 0 ) 23.89 0.78 12 0.78 18.70 0.84 2.06
    50 1000 20.00 NaN 1.31 ( 0.05 ) 1 ( 0 ) 6 ( 0 ) 2.48 ( 0.03 ) 0.00 NaN 13 1.31 NA NA 2.48
    100 1000 10.00 0.01 1.06 ( 0.03 ) 48.48 ( 0.63 )4.33 ( 0.1 ) 2.43 ( 0.02 ) 50.15 0.97 14 1.06 48.40 4.33 2.43
    500 1000 2.00 0.06 0.89 ( 0.01 ) 44.77 ( 0.71 )1.81 ( 0.1 ) 2.3 ( 0.01 ) 48.96 0.91 15 0.89 44.70 1.81 2.30
    1000 1000 1.00 0.09 0.85 ( 0.01 ) 41.77 ( 0.68 )0.99 ( 0.07 ) 2.25 ( 0.01 ) 46.78 0.89 16 0.85 41.70 0.99 2.25
    \n" + ], + "text/latex": [ + "\\begin{tabular}{r|lllllllllllllll}\n", + " N & P & Ratio & Stab & MSE & FP & FN & OOB & num\\_select & FDR & Index & MSE\\_mean & FP\\_mean & FN\\_mean & OOB\\_mean\\\\\n", + "\\hline\n", + "\t 50 & 50 & 1.00 & NaN & 1.31 ( 0.06 ) & 1 ( 0 ) & 6 ( 0 ) & 2.09 ( 0.02 ) & 0.00 & NaN & 1 & 1.31 & NA & NA & 2.09 \\\\\n", + "\t 100 & 50 & 0.50 & 0.18 & 0.85 ( 0.02 ) & 1.85 ( 0.11 ) & 4.11 ( 0.1 ) & 1.79 ( 0.01 ) & 3.74 & 0.48 & 2 & 0.85 & 1.85 & 4.11 & 1.79 \\\\\n", + "\t 500 & 50 & 0.10 & 0.80 & 0.47 ( 0.01 ) & 0.3 ( 0.05 ) & 1.61 ( 0.08 ) & 1.31 ( 0 ) & 4.69 & 0.05 & 3 & 0.47 & 0.30 & 1.61 & 1.31 \\\\\n", + "\t 1000 & 50 & 0.05 & 0.88 & 0.35 ( 0 ) & 0.07 ( 0.03 ) & 0.78 ( 0.07 ) & 1.17 ( 0 ) & 5.29 & 0.01 & 4 & 0.35 & 0.07 & 0.78 & 1.17 \\\\\n", + "\t 50 & 100 & 2.00 & NaN & 1.32 ( 0.05 ) & 1 ( 0 ) & 6 ( 0 ) & 2.23 ( 0.02 ) & 0.00 & NaN & 5 & 1.32 & NA & NA & 2.23 \\\\\n", + "\t 100 & 100 & 1.00 & 0.08 & 0.91 ( 0.03 ) & 4.33 ( 0.22 ) & 4.45 ( 0.09 ) & 2.02 ( 0.01 ) & 5.88 & 0.72 & 6 & 0.91 & 4.33 & 4.45 & 2.02 \\\\\n", + "\t 500 & 100 & 0.20 & 0.60 & 0.59 ( 0.01 ) & 1.91 ( 0.15 ) & 1.41 ( 0.07 ) & 1.54 ( 0 ) & 6.50 & 0.27 & 7 & 0.59 & 1.91 & 1.41 & 1.54 \\\\\n", + "\t 1000 & 100 & 0.10 & 0.81 & 0.47 ( 0 ) & 0.71 ( 0.09 ) & 0.53 ( 0.06 ) & 1.39 ( 0 ) & 6.18 & 0.1 & 8 & 0.47 & 0.71 & 0.53 & 1.39 \\\\\n", + "\t 50 & 500 & 10.00 & NaN & 1.33 ( 0.05 ) & 1 ( 0 ) & 6 ( 0 ) & 2.48 ( 0.03 ) & 0.00 & NaN & 9 & 1.33 & NA & NA & 2.48 \\\\\n", + "\t 100 & 500 & 5.00 & 0.02 & 1.07 ( 0.03 ) & 23.8 ( 0.52 ) & 4.26 ( 0.1 ) & 2.43 ( 0.02 ) & 25.54 & 0.93 & 10 & 1.07 & 23.80 & 4.26 & 2.43 \\\\\n", + "\t 500 & 500 & 1.00 & 0.14 & 0.84 ( 0.01 ) & 19.92 ( 0.41 ) & 1.71 ( 0.08 ) & 2.14 ( 0.01 ) & 24.21 & 0.82 & 11 & 0.84 & 19.90 & 1.71 & 2.14 \\\\\n", + "\t 1000 & 500 & 0.50 & 0.19 & 0.78 ( 0.01 ) & 18.73 ( 0.42 ) & 0.84 ( 0.06 ) & 2.06 ( 0 ) & 23.89 & 0.78 & 12 & 0.78 & 18.70 & 0.84 & 2.06 \\\\\n", + "\t 50 & 1000 & 20.00 & NaN & 1.31 ( 0.05 ) & 1 ( 0 ) & 6 ( 0 ) & 2.48 ( 0.03 ) & 0.00 & NaN & 13 & 1.31 & NA & NA & 2.48 \\\\\n", + "\t 100 & 1000 & 10.00 & 0.01 & 1.06 ( 0.03 ) & 48.48 ( 0.63 ) & 4.33 ( 0.1 ) & 2.43 ( 0.02 ) & 50.15 & 0.97 & 14 & 1.06 & 48.40 & 4.33 & 2.43 \\\\\n", + "\t 500 & 1000 & 2.00 & 0.06 & 0.89 ( 0.01 ) & 44.77 ( 0.71 ) & 1.81 ( 0.1 ) & 2.3 ( 0.01 ) & 48.96 & 0.91 & 15 & 0.89 & 44.70 & 1.81 & 2.30 \\\\\n", + "\t 1000 & 1000 & 1.00 & 0.09 & 0.85 ( 0.01 ) & 41.77 ( 0.68 ) & 0.99 ( 0.07 ) & 2.25 ( 0.01 ) & 46.78 & 0.89 & 16 & 0.85 & 41.70 & 0.99 & 2.25 \\\\\n", + "\\end{tabular}\n" + ], + "text/markdown": [ + "\n", + "| N | P | Ratio | Stab | MSE | FP | FN | OOB | num_select | FDR | Index | MSE_mean | FP_mean | FN_mean | OOB_mean |\n", + "|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n", + "| 50 | 50 | 1.00 | NaN | 1.31 ( 0.06 ) | 1 ( 0 ) | 6 ( 0 ) | 2.09 ( 0.02 ) | 0.00 | NaN | 1 | 1.31 | NA | NA | 2.09 |\n", + "| 100 | 50 | 0.50 | 0.18 | 0.85 ( 0.02 ) | 1.85 ( 0.11 ) | 4.11 ( 0.1 ) | 1.79 ( 0.01 ) | 3.74 | 0.48 | 2 | 0.85 | 1.85 | 4.11 | 1.79 |\n", + "| 500 | 50 | 0.10 | 0.80 | 0.47 ( 0.01 ) | 0.3 ( 0.05 ) | 1.61 ( 0.08 ) | 1.31 ( 0 ) | 4.69 | 0.05 | 3 | 0.47 | 0.30 | 1.61 | 1.31 |\n", + "| 1000 | 50 | 0.05 | 0.88 | 0.35 ( 0 ) | 0.07 ( 0.03 ) | 0.78 ( 0.07 ) | 1.17 ( 0 ) | 5.29 | 0.01 | 4 | 0.35 | 0.07 | 0.78 | 1.17 |\n", + "| 50 | 100 | 2.00 | NaN | 1.32 ( 0.05 ) | 1 ( 0 ) | 6 ( 0 ) | 2.23 ( 0.02 ) | 0.00 | NaN | 5 | 1.32 | NA | NA | 2.23 |\n", + "| 100 | 100 | 1.00 | 0.08 | 0.91 ( 0.03 ) | 4.33 ( 0.22 ) | 4.45 ( 0.09 ) | 2.02 ( 0.01 ) | 5.88 | 0.72 | 6 | 0.91 | 4.33 | 4.45 | 2.02 |\n", + "| 500 | 100 | 0.20 | 0.60 | 0.59 ( 0.01 ) | 1.91 ( 0.15 ) | 1.41 ( 0.07 ) | 1.54 ( 0 ) | 6.50 | 0.27 | 7 | 0.59 | 1.91 | 1.41 | 1.54 |\n", + "| 1000 | 100 | 0.10 | 0.81 | 0.47 ( 0 ) | 0.71 ( 0.09 ) | 0.53 ( 0.06 ) | 1.39 ( 0 ) | 6.18 | 0.1 | 8 | 0.47 | 0.71 | 0.53 | 1.39 |\n", + "| 50 | 500 | 10.00 | NaN | 1.33 ( 0.05 ) | 1 ( 0 ) | 6 ( 0 ) | 2.48 ( 0.03 ) | 0.00 | NaN | 9 | 1.33 | NA | NA | 2.48 |\n", + "| 100 | 500 | 5.00 | 0.02 | 1.07 ( 0.03 ) | 23.8 ( 0.52 ) | 4.26 ( 0.1 ) | 2.43 ( 0.02 ) | 25.54 | 0.93 | 10 | 1.07 | 23.80 | 4.26 | 2.43 |\n", + "| 500 | 500 | 1.00 | 0.14 | 0.84 ( 0.01 ) | 19.92 ( 0.41 ) | 1.71 ( 0.08 ) | 2.14 ( 0.01 ) | 24.21 | 0.82 | 11 | 0.84 | 19.90 | 1.71 | 2.14 |\n", + "| 1000 | 500 | 0.50 | 0.19 | 0.78 ( 0.01 ) | 18.73 ( 0.42 ) | 0.84 ( 0.06 ) | 2.06 ( 0 ) | 23.89 | 0.78 | 12 | 0.78 | 18.70 | 0.84 | 2.06 |\n", + "| 50 | 1000 | 20.00 | NaN | 1.31 ( 0.05 ) | 1 ( 0 ) | 6 ( 0 ) | 2.48 ( 0.03 ) | 0.00 | NaN | 13 | 1.31 | NA | NA | 2.48 |\n", + "| 100 | 1000 | 10.00 | 0.01 | 1.06 ( 0.03 ) | 48.48 ( 0.63 ) | 4.33 ( 0.1 ) | 2.43 ( 0.02 ) | 50.15 | 0.97 | 14 | 1.06 | 48.40 | 4.33 | 2.43 |\n", + "| 500 | 1000 | 2.00 | 0.06 | 0.89 ( 0.01 ) | 44.77 ( 0.71 ) | 1.81 ( 0.1 ) | 2.3 ( 0.01 ) | 48.96 | 0.91 | 15 | 0.89 | 44.70 | 1.81 | 2.30 |\n", + "| 1000 | 1000 | 1.00 | 0.09 | 0.85 ( 0.01 ) | 41.77 ( 0.68 ) | 0.99 ( 0.07 ) | 2.25 ( 0.01 ) | 46.78 | 0.89 | 16 | 0.85 | 41.70 | 0.99 | 2.25 |\n", + "\n" + ], + "text/plain": [ + " N P Ratio Stab MSE FP FN \n", + "1 50 50 1.00 NaN 1.31 ( 0.06 ) 1 ( 0 ) 6 ( 0 ) \n", + "2 100 50 0.50 0.18 0.85 ( 0.02 ) 1.85 ( 0.11 ) 4.11 ( 0.1 ) \n", + "3 500 50 0.10 0.80 0.47 ( 0.01 ) 0.3 ( 0.05 ) 1.61 ( 0.08 )\n", + "4 1000 50 0.05 0.88 0.35 ( 0 ) 0.07 ( 0.03 ) 0.78 ( 0.07 )\n", + "5 50 100 2.00 NaN 1.32 ( 0.05 ) 1 ( 0 ) 6 ( 0 ) \n", + "6 100 100 1.00 0.08 0.91 ( 0.03 ) 4.33 ( 0.22 ) 4.45 ( 0.09 )\n", + "7 500 100 0.20 0.60 0.59 ( 0.01 ) 1.91 ( 0.15 ) 1.41 ( 0.07 )\n", + "8 1000 100 0.10 0.81 0.47 ( 0 ) 0.71 ( 0.09 ) 0.53 ( 0.06 )\n", + "9 50 500 10.00 NaN 1.33 ( 0.05 ) 1 ( 0 ) 6 ( 0 ) \n", + "10 100 500 5.00 0.02 1.07 ( 0.03 ) 23.8 ( 0.52 ) 4.26 ( 0.1 ) \n", + "11 500 500 1.00 0.14 0.84 ( 0.01 ) 19.92 ( 0.41 ) 1.71 ( 0.08 )\n", + "12 1000 500 0.50 0.19 0.78 ( 0.01 ) 18.73 ( 0.42 ) 0.84 ( 0.06 )\n", + "13 50 1000 20.00 NaN 1.31 ( 0.05 ) 1 ( 0 ) 6 ( 0 ) \n", + "14 100 1000 10.00 0.01 1.06 ( 0.03 ) 48.48 ( 0.63 ) 4.33 ( 0.1 ) \n", + "15 500 1000 2.00 0.06 0.89 ( 0.01 ) 44.77 ( 0.71 ) 1.81 ( 0.1 ) \n", + "16 1000 1000 1.00 0.09 0.85 ( 0.01 ) 41.77 ( 0.68 ) 0.99 ( 0.07 )\n", + " OOB num_select FDR Index MSE_mean FP_mean FN_mean OOB_mean\n", + "1 2.09 ( 0.02 ) 0.00 NaN 1 1.31 NA NA 2.09 \n", + "2 1.79 ( 0.01 ) 3.74 0.48 2 0.85 1.85 4.11 1.79 \n", + "3 1.31 ( 0 ) 4.69 0.05 3 0.47 0.30 1.61 1.31 \n", + "4 1.17 ( 0 ) 5.29 0.01 4 0.35 0.07 0.78 1.17 \n", + "5 2.23 ( 0.02 ) 0.00 NaN 5 1.32 NA NA 2.23 \n", + "6 2.02 ( 0.01 ) 5.88 0.72 6 0.91 4.33 4.45 2.02 \n", + "7 1.54 ( 0 ) 6.50 0.27 7 0.59 1.91 1.41 1.54 \n", + "8 1.39 ( 0 ) 6.18 0.1 8 0.47 0.71 0.53 1.39 \n", + "9 2.48 ( 0.03 ) 0.00 NaN 9 1.33 NA NA 2.48 \n", + "10 2.43 ( 0.02 ) 25.54 0.93 10 1.07 23.80 4.26 2.43 \n", + "11 2.14 ( 0.01 ) 24.21 0.82 11 0.84 19.90 1.71 2.14 \n", + "12 2.06 ( 0 ) 23.89 0.78 12 0.78 18.70 0.84 2.06 \n", + "13 2.48 ( 0.03 ) 0.00 NaN 13 1.31 NA NA 2.48 \n", + "14 2.43 ( 0.02 ) 50.15 0.97 14 1.06 48.40 4.33 2.43 \n", + "15 2.3 ( 0.01 ) 48.96 0.91 15 0.89 44.70 1.81 2.30 \n", + "16 2.25 ( 0.01 ) 46.78 0.89 16 0.85 41.70 0.99 2.25 " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "result.table_ind" + ] + }, + { + "cell_type": "code", + "execution_count": 36, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[1] 0\n", + "[1] 0\n", + "[1] 0\n", + "[1] 0\n" + ] + } + ], + "source": [ + "## nothing was selected when Stab is NaN\n", + "for (i in c(1,5,9,13)){\n", + " print(sum(results_ind_rf[[i]]$Stab.table))\n", + "}" + ] + }, + { + "cell_type": "code", + "execution_count": 37, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", + "\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\n", + "
    NPRatioStabMSEFPFNOOBnum_selectFDRIndexMSE_meanFP_meanFN_meanOOB_mean
    50 50 1.00 0.00 1.31 ( 0.06 ) 1 ( 0 ) 6 ( 0 ) 2.09 ( 0.02 ) 0.00 NaN 1 1.31 1.00 6.00 2.09
    100 50 0.50 0.18 0.85 ( 0.02 ) 1.85 ( 0.11 ) 4.11 ( 0.1 ) 1.79 ( 0.01 ) 3.74 0.48 2 0.85 1.85 4.11 1.79
    500 50 0.10 0.80 0.47 ( 0.01 ) 0.3 ( 0.05 ) 1.61 ( 0.08 ) 1.31 ( 0 ) 4.69 0.05 3 0.47 0.30 1.61 1.31
    1000 50 0.05 0.88 0.35 ( 0 ) 0.07 ( 0.03 ) 0.78 ( 0.07 ) 1.17 ( 0 ) 5.29 0.01 4 0.35 0.07 0.78 1.17
    50 100 2.00 0.00 1.32 ( 0.05 ) 1 ( 0 ) 6 ( 0 ) 2.23 ( 0.02 ) 0.00 NaN 5 1.32 1.00 6.00 2.23
    100 100 1.00 0.08 0.91 ( 0.03 ) 4.33 ( 0.22 ) 4.45 ( 0.09 ) 2.02 ( 0.01 ) 5.88 0.72 6 0.91 4.33 4.45 2.02
    500 100 0.20 0.60 0.59 ( 0.01 ) 1.91 ( 0.15 ) 1.41 ( 0.07 ) 1.54 ( 0 ) 6.50 0.27 7 0.59 1.91 1.41 1.54
    1000 100 0.10 0.81 0.47 ( 0 ) 0.71 ( 0.09 ) 0.53 ( 0.06 ) 1.39 ( 0 ) 6.18 0.1 8 0.47 0.71 0.53 1.39
    50 500 10.00 0.00 1.33 ( 0.05 ) 1 ( 0 ) 6 ( 0 ) 2.48 ( 0.03 ) 0.00 NaN 9 1.33 1.00 6.00 2.48
    100 500 5.00 0.02 1.07 ( 0.03 ) 23.8 ( 0.52 ) 4.26 ( 0.1 ) 2.43 ( 0.02 ) 25.54 0.93 10 1.07 23.80 4.26 2.43
    500 500 1.00 0.14 0.84 ( 0.01 ) 19.92 ( 0.41 )1.71 ( 0.08 ) 2.14 ( 0.01 ) 24.21 0.82 11 0.84 19.90 1.71 2.14
    1000 500 0.50 0.19 0.78 ( 0.01 ) 18.73 ( 0.42 )0.84 ( 0.06 ) 2.06 ( 0 ) 23.89 0.78 12 0.78 18.70 0.84 2.06
    50 1000 20.00 0.00 1.31 ( 0.05 ) 1 ( 0 ) 6 ( 0 ) 2.48 ( 0.03 ) 0.00 NaN 13 1.31 1.00 6.00 2.48
    100 1000 10.00 0.01 1.06 ( 0.03 ) 48.48 ( 0.63 )4.33 ( 0.1 ) 2.43 ( 0.02 ) 50.15 0.97 14 1.06 48.40 4.33 2.43
    500 1000 2.00 0.06 0.89 ( 0.01 ) 44.77 ( 0.71 )1.81 ( 0.1 ) 2.3 ( 0.01 ) 48.96 0.91 15 0.89 44.70 1.81 2.30
    1000 1000 1.00 0.09 0.85 ( 0.01 ) 41.77 ( 0.68 )0.99 ( 0.07 ) 2.25 ( 0.01 ) 46.78 0.89 16 0.85 41.70 0.99 2.25
    \n" + ], + "text/latex": [ + "\\begin{tabular}{r|lllllllllllllll}\n", + " N & P & Ratio & Stab & MSE & FP & FN & OOB & num\\_select & FDR & Index & MSE\\_mean & FP\\_mean & FN\\_mean & OOB\\_mean\\\\\n", + "\\hline\n", + "\t 50 & 50 & 1.00 & 0.00 & 1.31 ( 0.06 ) & 1 ( 0 ) & 6 ( 0 ) & 2.09 ( 0.02 ) & 0.00 & NaN & 1 & 1.31 & 1.00 & 6.00 & 2.09 \\\\\n", + "\t 100 & 50 & 0.50 & 0.18 & 0.85 ( 0.02 ) & 1.85 ( 0.11 ) & 4.11 ( 0.1 ) & 1.79 ( 0.01 ) & 3.74 & 0.48 & 2 & 0.85 & 1.85 & 4.11 & 1.79 \\\\\n", + "\t 500 & 50 & 0.10 & 0.80 & 0.47 ( 0.01 ) & 0.3 ( 0.05 ) & 1.61 ( 0.08 ) & 1.31 ( 0 ) & 4.69 & 0.05 & 3 & 0.47 & 0.30 & 1.61 & 1.31 \\\\\n", + "\t 1000 & 50 & 0.05 & 0.88 & 0.35 ( 0 ) & 0.07 ( 0.03 ) & 0.78 ( 0.07 ) & 1.17 ( 0 ) & 5.29 & 0.01 & 4 & 0.35 & 0.07 & 0.78 & 1.17 \\\\\n", + "\t 50 & 100 & 2.00 & 0.00 & 1.32 ( 0.05 ) & 1 ( 0 ) & 6 ( 0 ) & 2.23 ( 0.02 ) & 0.00 & NaN & 5 & 1.32 & 1.00 & 6.00 & 2.23 \\\\\n", + "\t 100 & 100 & 1.00 & 0.08 & 0.91 ( 0.03 ) & 4.33 ( 0.22 ) & 4.45 ( 0.09 ) & 2.02 ( 0.01 ) & 5.88 & 0.72 & 6 & 0.91 & 4.33 & 4.45 & 2.02 \\\\\n", + "\t 500 & 100 & 0.20 & 0.60 & 0.59 ( 0.01 ) & 1.91 ( 0.15 ) & 1.41 ( 0.07 ) & 1.54 ( 0 ) & 6.50 & 0.27 & 7 & 0.59 & 1.91 & 1.41 & 1.54 \\\\\n", + "\t 1000 & 100 & 0.10 & 0.81 & 0.47 ( 0 ) & 0.71 ( 0.09 ) & 0.53 ( 0.06 ) & 1.39 ( 0 ) & 6.18 & 0.1 & 8 & 0.47 & 0.71 & 0.53 & 1.39 \\\\\n", + "\t 50 & 500 & 10.00 & 0.00 & 1.33 ( 0.05 ) & 1 ( 0 ) & 6 ( 0 ) & 2.48 ( 0.03 ) & 0.00 & NaN & 9 & 1.33 & 1.00 & 6.00 & 2.48 \\\\\n", + "\t 100 & 500 & 5.00 & 0.02 & 1.07 ( 0.03 ) & 23.8 ( 0.52 ) & 4.26 ( 0.1 ) & 2.43 ( 0.02 ) & 25.54 & 0.93 & 10 & 1.07 & 23.80 & 4.26 & 2.43 \\\\\n", + "\t 500 & 500 & 1.00 & 0.14 & 0.84 ( 0.01 ) & 19.92 ( 0.41 ) & 1.71 ( 0.08 ) & 2.14 ( 0.01 ) & 24.21 & 0.82 & 11 & 0.84 & 19.90 & 1.71 & 2.14 \\\\\n", + "\t 1000 & 500 & 0.50 & 0.19 & 0.78 ( 0.01 ) & 18.73 ( 0.42 ) & 0.84 ( 0.06 ) & 2.06 ( 0 ) & 23.89 & 0.78 & 12 & 0.78 & 18.70 & 0.84 & 2.06 \\\\\n", + "\t 50 & 1000 & 20.00 & 0.00 & 1.31 ( 0.05 ) & 1 ( 0 ) & 6 ( 0 ) & 2.48 ( 0.03 ) & 0.00 & NaN & 13 & 1.31 & 1.00 & 6.00 & 2.48 \\\\\n", + "\t 100 & 1000 & 10.00 & 0.01 & 1.06 ( 0.03 ) & 48.48 ( 0.63 ) & 4.33 ( 0.1 ) & 2.43 ( 0.02 ) & 50.15 & 0.97 & 14 & 1.06 & 48.40 & 4.33 & 2.43 \\\\\n", + "\t 500 & 1000 & 2.00 & 0.06 & 0.89 ( 0.01 ) & 44.77 ( 0.71 ) & 1.81 ( 0.1 ) & 2.3 ( 0.01 ) & 48.96 & 0.91 & 15 & 0.89 & 44.70 & 1.81 & 2.30 \\\\\n", + "\t 1000 & 1000 & 1.00 & 0.09 & 0.85 ( 0.01 ) & 41.77 ( 0.68 ) & 0.99 ( 0.07 ) & 2.25 ( 0.01 ) & 46.78 & 0.89 & 16 & 0.85 & 41.70 & 0.99 & 2.25 \\\\\n", + "\\end{tabular}\n" + ], + "text/markdown": [ + "\n", + "| N | P | Ratio | Stab | MSE | FP | FN | OOB | num_select | FDR | Index | MSE_mean | FP_mean | FN_mean | OOB_mean |\n", + "|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n", + "| 50 | 50 | 1.00 | 0.00 | 1.31 ( 0.06 ) | 1 ( 0 ) | 6 ( 0 ) | 2.09 ( 0.02 ) | 0.00 | NaN | 1 | 1.31 | 1.00 | 6.00 | 2.09 |\n", + "| 100 | 50 | 0.50 | 0.18 | 0.85 ( 0.02 ) | 1.85 ( 0.11 ) | 4.11 ( 0.1 ) | 1.79 ( 0.01 ) | 3.74 | 0.48 | 2 | 0.85 | 1.85 | 4.11 | 1.79 |\n", + "| 500 | 50 | 0.10 | 0.80 | 0.47 ( 0.01 ) | 0.3 ( 0.05 ) | 1.61 ( 0.08 ) | 1.31 ( 0 ) | 4.69 | 0.05 | 3 | 0.47 | 0.30 | 1.61 | 1.31 |\n", + "| 1000 | 50 | 0.05 | 0.88 | 0.35 ( 0 ) | 0.07 ( 0.03 ) | 0.78 ( 0.07 ) | 1.17 ( 0 ) | 5.29 | 0.01 | 4 | 0.35 | 0.07 | 0.78 | 1.17 |\n", + "| 50 | 100 | 2.00 | 0.00 | 1.32 ( 0.05 ) | 1 ( 0 ) | 6 ( 0 ) | 2.23 ( 0.02 ) | 0.00 | NaN | 5 | 1.32 | 1.00 | 6.00 | 2.23 |\n", + "| 100 | 100 | 1.00 | 0.08 | 0.91 ( 0.03 ) | 4.33 ( 0.22 ) | 4.45 ( 0.09 ) | 2.02 ( 0.01 ) | 5.88 | 0.72 | 6 | 0.91 | 4.33 | 4.45 | 2.02 |\n", + "| 500 | 100 | 0.20 | 0.60 | 0.59 ( 0.01 ) | 1.91 ( 0.15 ) | 1.41 ( 0.07 ) | 1.54 ( 0 ) | 6.50 | 0.27 | 7 | 0.59 | 1.91 | 1.41 | 1.54 |\n", + "| 1000 | 100 | 0.10 | 0.81 | 0.47 ( 0 ) | 0.71 ( 0.09 ) | 0.53 ( 0.06 ) | 1.39 ( 0 ) | 6.18 | 0.1 | 8 | 0.47 | 0.71 | 0.53 | 1.39 |\n", + "| 50 | 500 | 10.00 | 0.00 | 1.33 ( 0.05 ) | 1 ( 0 ) | 6 ( 0 ) | 2.48 ( 0.03 ) | 0.00 | NaN | 9 | 1.33 | 1.00 | 6.00 | 2.48 |\n", + "| 100 | 500 | 5.00 | 0.02 | 1.07 ( 0.03 ) | 23.8 ( 0.52 ) | 4.26 ( 0.1 ) | 2.43 ( 0.02 ) | 25.54 | 0.93 | 10 | 1.07 | 23.80 | 4.26 | 2.43 |\n", + "| 500 | 500 | 1.00 | 0.14 | 0.84 ( 0.01 ) | 19.92 ( 0.41 ) | 1.71 ( 0.08 ) | 2.14 ( 0.01 ) | 24.21 | 0.82 | 11 | 0.84 | 19.90 | 1.71 | 2.14 |\n", + "| 1000 | 500 | 0.50 | 0.19 | 0.78 ( 0.01 ) | 18.73 ( 0.42 ) | 0.84 ( 0.06 ) | 2.06 ( 0 ) | 23.89 | 0.78 | 12 | 0.78 | 18.70 | 0.84 | 2.06 |\n", + "| 50 | 1000 | 20.00 | 0.00 | 1.31 ( 0.05 ) | 1 ( 0 ) | 6 ( 0 ) | 2.48 ( 0.03 ) | 0.00 | NaN | 13 | 1.31 | 1.00 | 6.00 | 2.48 |\n", + "| 100 | 1000 | 10.00 | 0.01 | 1.06 ( 0.03 ) | 48.48 ( 0.63 ) | 4.33 ( 0.1 ) | 2.43 ( 0.02 ) | 50.15 | 0.97 | 14 | 1.06 | 48.40 | 4.33 | 2.43 |\n", + "| 500 | 1000 | 2.00 | 0.06 | 0.89 ( 0.01 ) | 44.77 ( 0.71 ) | 1.81 ( 0.1 ) | 2.3 ( 0.01 ) | 48.96 | 0.91 | 15 | 0.89 | 44.70 | 1.81 | 2.30 |\n", + "| 1000 | 1000 | 1.00 | 0.09 | 0.85 ( 0.01 ) | 41.77 ( 0.68 ) | 0.99 ( 0.07 ) | 2.25 ( 0.01 ) | 46.78 | 0.89 | 16 | 0.85 | 41.70 | 0.99 | 2.25 |\n", + "\n" + ], + "text/plain": [ + " N P Ratio Stab MSE FP FN \n", + "1 50 50 1.00 0.00 1.31 ( 0.06 ) 1 ( 0 ) 6 ( 0 ) \n", + "2 100 50 0.50 0.18 0.85 ( 0.02 ) 1.85 ( 0.11 ) 4.11 ( 0.1 ) \n", + "3 500 50 0.10 0.80 0.47 ( 0.01 ) 0.3 ( 0.05 ) 1.61 ( 0.08 )\n", + "4 1000 50 0.05 0.88 0.35 ( 0 ) 0.07 ( 0.03 ) 0.78 ( 0.07 )\n", + "5 50 100 2.00 0.00 1.32 ( 0.05 ) 1 ( 0 ) 6 ( 0 ) \n", + "6 100 100 1.00 0.08 0.91 ( 0.03 ) 4.33 ( 0.22 ) 4.45 ( 0.09 )\n", + "7 500 100 0.20 0.60 0.59 ( 0.01 ) 1.91 ( 0.15 ) 1.41 ( 0.07 )\n", + "8 1000 100 0.10 0.81 0.47 ( 0 ) 0.71 ( 0.09 ) 0.53 ( 0.06 )\n", + "9 50 500 10.00 0.00 1.33 ( 0.05 ) 1 ( 0 ) 6 ( 0 ) \n", + "10 100 500 5.00 0.02 1.07 ( 0.03 ) 23.8 ( 0.52 ) 4.26 ( 0.1 ) \n", + "11 500 500 1.00 0.14 0.84 ( 0.01 ) 19.92 ( 0.41 ) 1.71 ( 0.08 )\n", + "12 1000 500 0.50 0.19 0.78 ( 0.01 ) 18.73 ( 0.42 ) 0.84 ( 0.06 )\n", + "13 50 1000 20.00 0.00 1.31 ( 0.05 ) 1 ( 0 ) 6 ( 0 ) \n", + "14 100 1000 10.00 0.01 1.06 ( 0.03 ) 48.48 ( 0.63 ) 4.33 ( 0.1 ) \n", + "15 500 1000 2.00 0.06 0.89 ( 0.01 ) 44.77 ( 0.71 ) 1.81 ( 0.1 ) \n", + "16 1000 1000 1.00 0.09 0.85 ( 0.01 ) 41.77 ( 0.68 ) 0.99 ( 0.07 )\n", + " OOB num_select FDR Index MSE_mean FP_mean FN_mean OOB_mean\n", + "1 2.09 ( 0.02 ) 0.00 NaN 1 1.31 1.00 6.00 2.09 \n", + "2 1.79 ( 0.01 ) 3.74 0.48 2 0.85 1.85 4.11 1.79 \n", + "3 1.31 ( 0 ) 4.69 0.05 3 0.47 0.30 1.61 1.31 \n", + "4 1.17 ( 0 ) 5.29 0.01 4 0.35 0.07 0.78 1.17 \n", + "5 2.23 ( 0.02 ) 0.00 NaN 5 1.32 1.00 6.00 2.23 \n", + "6 2.02 ( 0.01 ) 5.88 0.72 6 0.91 4.33 4.45 2.02 \n", + "7 1.54 ( 0 ) 6.50 0.27 7 0.59 1.91 1.41 1.54 \n", + "8 1.39 ( 0 ) 6.18 0.1 8 0.47 0.71 0.53 1.39 \n", + "9 2.48 ( 0.03 ) 0.00 NaN 9 1.33 1.00 6.00 2.48 \n", + "10 2.43 ( 0.02 ) 25.54 0.93 10 1.07 23.80 4.26 2.43 \n", + "11 2.14 ( 0.01 ) 24.21 0.82 11 0.84 19.90 1.71 2.14 \n", + "12 2.06 ( 0 ) 23.89 0.78 12 0.78 18.70 0.84 2.06 \n", + "13 2.48 ( 0.03 ) 0.00 NaN 13 1.31 1.00 6.00 2.48 \n", + "14 2.43 ( 0.02 ) 50.15 0.97 14 1.06 48.40 4.33 2.43 \n", + "15 2.3 ( 0.01 ) 48.96 0.91 15 0.89 44.70 1.81 2.30 \n", + "16 2.25 ( 0.01 ) 46.78 0.89 16 0.85 41.70 0.99 2.25 " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "## assign zero values to NA Stab; also recover missing FP values (1 in this case); missing FN values (6 in this case)\n", + "result.table_ind$Stab[is.na(result.table_ind$Stab)] = 0\n", + "result.table_ind$FP_mean[is.na(result.table_ind$FP_mean)] = 1\n", + "result.table_ind$FN_mean[is.na(result.table_ind$FN_mean)] = 6\n", + "#result.table_ind$FDR[is.na(result.table_ind$FDR)] = 0\n", + "result.table_ind\n", + "\n", + "## export\n", + "write.table(result.table_ind, '../results_summary/sim_ind_rf.txt', sep='\\t', row.names=F)" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Registered S3 methods overwritten by 'ggplot2':\n", + " method from \n", + " [.quosures rlang\n", + " c.quosures rlang\n", + " print.quosures rlang\n" + ] + }, + { + "data": { + "text/html": [ + "pdf: 2" + ], + "text/latex": [ + "\\textbf{pdf:} 2" + ], + "text/markdown": [ + "**pdf:** 2" + ], + "text/plain": [ + "pdf \n", + " 2 " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "library(ggplot2)\n", + "library(gridExtra)\n", + "pdf('../figures_sim/figure_independent_rf_oob.pdf', height=5, width=7)\n", + "result.table_ind$N = as.factor(result.table_ind$N)\n", + "fig_ind_oob = ggplot(result.table_ind, aes(x=P, y=OOB_mean, color=N)) + geom_point()\n", + "fig_ind_mse = ggplot(result.table_ind, aes(x=P, y=MSE_mean, color=N)) + geom_point()\n", + "grid.arrange(fig_ind_oob, fig_ind_mse, ncol=2, top='Independent_RandomForests_OOB_MSE')\n", + "dev.off()" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "pdf: 2" + ], + "text/latex": [ + "\\textbf{pdf:} 2" + ], + "text/markdown": [ + "**pdf:** 2" + ], + "text/plain": [ + "pdf \n", + " 2 " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "library(ggplot2)\n", + "library(gridExtra)\n", + "pdf('../figures_sim/figure_independent_rf.pdf', height=5, width=7)\n", + "result.table_ind$N = as.factor(result.table_ind$N)\n", + "fig_ind_stab = ggplot(result.table_ind, aes(x=P, y=Stab, color=N)) + geom_point() + ylab('Stability')\n", + "fig_ind_mse = ggplot(result.table_ind, aes(x=P, y=MSE_mean, color=N)) + geom_point() + ylab('MSE')\n", + "fig_ind_fp = ggplot(result.table_ind, aes(x=P, y=FP_mean, color=N)) + geom_point() + ylab('False Positives')\n", + "fig_ind_fn = ggplot(result.table_ind, aes(x=P, y=FN_mean, color=N)) + geom_point() + ylab('False Negatives')\n", + "grid.arrange(fig_ind_stab, fig_ind_mse, fig_ind_fp, fig_ind_fn, ncol=2, top='Independent_RandomForests')\n", + "dev.off()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "R", + "language": "R", + "name": "ir" + }, + "language_info": { + "codemirror_mode": "r", + "file_extension": ".r", + "mimetype": "text/x-r-source", + "name": "R", + "pygments_lexer": "r", + "version": "3.6.1" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/simulations/notebooks_simulations/sim_indepdent_rf_jnt.ipynb b/simulations/notebooks_simulations/sim_indepdent_rf_jnt.ipynb new file mode 100644 index 0000000..1e7fca8 --- /dev/null +++ b/simulations/notebooks_simulations/sim_indepdent_rf_jnt.ipynb @@ -0,0 +1,291 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "load('../sim_data/independent_RF_janitza.RData')" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "table_ind = NULL\n", + "tmp_num_select = rep(0, length(results_ind_rf))\n", + "for (i in 1:length(results_ind_rf)){\n", + " results_ind_rf[[i]]$OOB = paste(round(mean(results_ind_rf[[i]]$OOB.list, na.rm=T),2),\n", + " '(', round(FSA::se(results_ind_rf[[i]]$OOB.list, na.rm=T),2), ')')\n", + " table_ind = rbind(table_ind, results_ind_rf[[i]][c('n', 'p', 'rou', 'FP', 'FN', 'MSE', 'Stab', 'OOB')])\n", + " tmp_num_select[i] = mean(rowSums(results_ind_rf[[i]]$Stab.table))\n", + "}\n", + "table_ind = as.data.frame(table_ind)\n", + "table_ind$num_select = tmp_num_select" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "extract_numeric() is deprecated: please use readr::parse_number() instead\n", + "extract_numeric() is deprecated: please use readr::parse_number() instead\n" + ] + } + ], + "source": [ + "# export result\n", + "result.table_ind <- apply(table_ind,2,as.character)\n", + "rownames(result.table_ind) = rownames(table_ind)\n", + "result.table_ind = as.data.frame(result.table_ind)\n", + "\n", + "# extract numbers only for 'n' & 'p'\n", + "result.table_ind$n = tidyr::extract_numeric(result.table_ind$n)\n", + "result.table_ind$p = tidyr::extract_numeric(result.table_ind$p)\n", + "result.table_ind$ratio = result.table_ind$p / result.table_ind$n\n", + "\n", + "result.table_ind = result.table_ind[c('n', 'p', 'ratio', 'Stab', 'MSE', 'FP', 'FN', 'OOB', 'num_select')]\n", + "colnames(result.table_ind)[1:3] = c('N', 'P', 'Ratio')\n", + "#rownames(result.table_ind) = NULL # tried different ways; not working\n", + "result.table_ind$Index = seq(1, length(results_ind_rf), 1)" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Warning message in eval(expr, envir, enclos):\n", + "“NAs introduced by coercion”" + ] + } + ], + "source": [ + "# convert interested measurements to be numeric\n", + "result.table_ind$Stab = as.numeric(as.character(result.table_ind$Stab))\n", + "result.table_ind$MSE_mean = as.numeric(substr(result.table_ind$MSE, start=1, stop=4))\n", + "result.table_ind$FP_mean = as.numeric(substr(result.table_ind$FP, start=1, stop=4))\n", + "result.table_ind$FN_mean = as.numeric(substr(result.table_ind$FN, start=1, stop=4))\n", + "result.table_ind$OOB_mean = as.numeric(substr(result.table_ind$OOB, start=1, stop=4))\n", + "result.table_ind$num_select = as.numeric(as.character(result.table_ind$num_select))" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", + "\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\n", + "
    NPRatioStabMSEFPFNOOBnum_selectIndexMSE_meanFP_meanFN_meanOOB_mean
    50 50 1.00 0.02 4.3 ( 0.2 ) 2.41 ( 0.21 ) 5.22 ( 0.09 ) 2.08 ( 0.02 ) 3.05 1 4.30 2.41 5.22 2.08
    100 50 0.50 0.18 3.22 ( 0.11 ) 2.63 ( 0.21 ) 3.84 ( 0.11 ) 1.78 ( 0.01 ) 4.77 2 3.22 2.63 3.84 1.78
    500 50 0.10 0.49 1.94 ( 0.03 ) 3.08 ( 0.27 ) 1.07 ( 0.08 ) 1.31 ( 0 ) 8.01 3 1.94 3.08 1.07 1.31
    1000 50 0.05 0.57 1.53 ( 0.01 ) 3.26 ( 0.26 ) 0.2 ( 0.04 ) 1.17 ( 0 ) 9.06 4 1.53 3.26 0.20 1.17
    50 100 2.00 0.01 4.04 ( 0.19 ) 5.04 ( 0.36 ) 5.31 ( 0.08 ) 2.23 ( 0.02 ) 5.71 5 4.04 5.04 5.31 2.23
    100 100 1.00 0.10 3.38 ( 0.11 ) 4.66 ( 0.29 ) 4.09 ( 0.1 ) 2.02 ( 0.01 ) 6.57 6 3.38 4.66 4.09 2.02
    500 100 0.20 0.34 2.65 ( 0.03 ) 6.53 ( 0.38 ) 1.08 ( 0.07 ) 1.54 ( 0 ) 11.45 7 2.65 6.53 1.08 1.54
    1000 100 0.10 0.40 2.31 ( 0.02 ) 6.77 ( 0.39 ) 0.27 ( 0.05 ) 1.39 ( 0 ) 12.50 8 2.31 6.77 0.27 1.39
    50 500 10.00 0.03 4.02 ( 0.2 ) 26.76 ( 0.75 )4.84 ( 0.09 ) 2.47 ( 0.03 ) 27.92 9 4.02 26.70 4.84 2.47
    100 500 5.00 0.02 3.9 ( 0.13 ) 26.32 ( 0.91 )4.5 ( 0.08 ) 2.42 ( 0.02 ) 27.82 10 3.90 26.30 4.50 2.42
    500 500 1.00 0.11 3.68 ( 0.05 ) 28.84 ( 1 ) 1.5 ( 0.07 ) 2.14 ( 0.01 ) 33.34 11 3.68 28.80 1.50 2.14
    1000 500 0.50 0.12 3.69 ( 0.03 ) 34.08 ( 1.34 )0.49 ( 0.06 ) 2.06 ( 0 ) 39.59 12 3.69 34.00 0.49 2.06
    50 1000 20.00 0.04 4.04 ( 0.2 ) 48.82 ( 1.04 )5.29 ( 0.07 ) 2.46 ( 0.03 ) 49.53 13 4.04 48.80 5.29 2.46
    100 1000 10.00 0.02 3.8 ( 0.12 ) 52.42 ( 1.4 ) 4.72 ( 0.08 ) 2.42 ( 0.02 ) 53.70 14 3.80 52.40 4.72 2.42
    500 1000 2.00 0.06 3.93 ( 0.06 ) 57.58 ( 1.72 )1.57 ( 0.08 ) 2.3 ( 0.01 ) 62.01 15 3.93 57.50 1.57 2.30
    1000 1000 1.00 0.07 3.93 ( 0.04 ) 62 ( 1.83 ) 0.68 ( 0.06 ) 2.25 ( 0 ) 67.32 16 3.93 NA 0.68 2.25
    \n" + ], + "text/latex": [ + "\\begin{tabular}{r|llllllllllllll}\n", + " N & P & Ratio & Stab & MSE & FP & FN & OOB & num\\_select & Index & MSE\\_mean & FP\\_mean & FN\\_mean & OOB\\_mean\\\\\n", + "\\hline\n", + "\t 50 & 50 & 1.00 & 0.02 & 4.3 ( 0.2 ) & 2.41 ( 0.21 ) & 5.22 ( 0.09 ) & 2.08 ( 0.02 ) & 3.05 & 1 & 4.30 & 2.41 & 5.22 & 2.08 \\\\\n", + "\t 100 & 50 & 0.50 & 0.18 & 3.22 ( 0.11 ) & 2.63 ( 0.21 ) & 3.84 ( 0.11 ) & 1.78 ( 0.01 ) & 4.77 & 2 & 3.22 & 2.63 & 3.84 & 1.78 \\\\\n", + "\t 500 & 50 & 0.10 & 0.49 & 1.94 ( 0.03 ) & 3.08 ( 0.27 ) & 1.07 ( 0.08 ) & 1.31 ( 0 ) & 8.01 & 3 & 1.94 & 3.08 & 1.07 & 1.31 \\\\\n", + "\t 1000 & 50 & 0.05 & 0.57 & 1.53 ( 0.01 ) & 3.26 ( 0.26 ) & 0.2 ( 0.04 ) & 1.17 ( 0 ) & 9.06 & 4 & 1.53 & 3.26 & 0.20 & 1.17 \\\\\n", + "\t 50 & 100 & 2.00 & 0.01 & 4.04 ( 0.19 ) & 5.04 ( 0.36 ) & 5.31 ( 0.08 ) & 2.23 ( 0.02 ) & 5.71 & 5 & 4.04 & 5.04 & 5.31 & 2.23 \\\\\n", + "\t 100 & 100 & 1.00 & 0.10 & 3.38 ( 0.11 ) & 4.66 ( 0.29 ) & 4.09 ( 0.1 ) & 2.02 ( 0.01 ) & 6.57 & 6 & 3.38 & 4.66 & 4.09 & 2.02 \\\\\n", + "\t 500 & 100 & 0.20 & 0.34 & 2.65 ( 0.03 ) & 6.53 ( 0.38 ) & 1.08 ( 0.07 ) & 1.54 ( 0 ) & 11.45 & 7 & 2.65 & 6.53 & 1.08 & 1.54 \\\\\n", + "\t 1000 & 100 & 0.10 & 0.40 & 2.31 ( 0.02 ) & 6.77 ( 0.39 ) & 0.27 ( 0.05 ) & 1.39 ( 0 ) & 12.50 & 8 & 2.31 & 6.77 & 0.27 & 1.39 \\\\\n", + "\t 50 & 500 & 10.00 & 0.03 & 4.02 ( 0.2 ) & 26.76 ( 0.75 ) & 4.84 ( 0.09 ) & 2.47 ( 0.03 ) & 27.92 & 9 & 4.02 & 26.70 & 4.84 & 2.47 \\\\\n", + "\t 100 & 500 & 5.00 & 0.02 & 3.9 ( 0.13 ) & 26.32 ( 0.91 ) & 4.5 ( 0.08 ) & 2.42 ( 0.02 ) & 27.82 & 10 & 3.90 & 26.30 & 4.50 & 2.42 \\\\\n", + "\t 500 & 500 & 1.00 & 0.11 & 3.68 ( 0.05 ) & 28.84 ( 1 ) & 1.5 ( 0.07 ) & 2.14 ( 0.01 ) & 33.34 & 11 & 3.68 & 28.80 & 1.50 & 2.14 \\\\\n", + "\t 1000 & 500 & 0.50 & 0.12 & 3.69 ( 0.03 ) & 34.08 ( 1.34 ) & 0.49 ( 0.06 ) & 2.06 ( 0 ) & 39.59 & 12 & 3.69 & 34.00 & 0.49 & 2.06 \\\\\n", + "\t 50 & 1000 & 20.00 & 0.04 & 4.04 ( 0.2 ) & 48.82 ( 1.04 ) & 5.29 ( 0.07 ) & 2.46 ( 0.03 ) & 49.53 & 13 & 4.04 & 48.80 & 5.29 & 2.46 \\\\\n", + "\t 100 & 1000 & 10.00 & 0.02 & 3.8 ( 0.12 ) & 52.42 ( 1.4 ) & 4.72 ( 0.08 ) & 2.42 ( 0.02 ) & 53.70 & 14 & 3.80 & 52.40 & 4.72 & 2.42 \\\\\n", + "\t 500 & 1000 & 2.00 & 0.06 & 3.93 ( 0.06 ) & 57.58 ( 1.72 ) & 1.57 ( 0.08 ) & 2.3 ( 0.01 ) & 62.01 & 15 & 3.93 & 57.50 & 1.57 & 2.30 \\\\\n", + "\t 1000 & 1000 & 1.00 & 0.07 & 3.93 ( 0.04 ) & 62 ( 1.83 ) & 0.68 ( 0.06 ) & 2.25 ( 0 ) & 67.32 & 16 & 3.93 & NA & 0.68 & 2.25 \\\\\n", + "\\end{tabular}\n" + ], + "text/markdown": [ + "\n", + "| N | P | Ratio | Stab | MSE | FP | FN | OOB | num_select | Index | MSE_mean | FP_mean | FN_mean | OOB_mean |\n", + "|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n", + "| 50 | 50 | 1.00 | 0.02 | 4.3 ( 0.2 ) | 2.41 ( 0.21 ) | 5.22 ( 0.09 ) | 2.08 ( 0.02 ) | 3.05 | 1 | 4.30 | 2.41 | 5.22 | 2.08 |\n", + "| 100 | 50 | 0.50 | 0.18 | 3.22 ( 0.11 ) | 2.63 ( 0.21 ) | 3.84 ( 0.11 ) | 1.78 ( 0.01 ) | 4.77 | 2 | 3.22 | 2.63 | 3.84 | 1.78 |\n", + "| 500 | 50 | 0.10 | 0.49 | 1.94 ( 0.03 ) | 3.08 ( 0.27 ) | 1.07 ( 0.08 ) | 1.31 ( 0 ) | 8.01 | 3 | 1.94 | 3.08 | 1.07 | 1.31 |\n", + "| 1000 | 50 | 0.05 | 0.57 | 1.53 ( 0.01 ) | 3.26 ( 0.26 ) | 0.2 ( 0.04 ) | 1.17 ( 0 ) | 9.06 | 4 | 1.53 | 3.26 | 0.20 | 1.17 |\n", + "| 50 | 100 | 2.00 | 0.01 | 4.04 ( 0.19 ) | 5.04 ( 0.36 ) | 5.31 ( 0.08 ) | 2.23 ( 0.02 ) | 5.71 | 5 | 4.04 | 5.04 | 5.31 | 2.23 |\n", + "| 100 | 100 | 1.00 | 0.10 | 3.38 ( 0.11 ) | 4.66 ( 0.29 ) | 4.09 ( 0.1 ) | 2.02 ( 0.01 ) | 6.57 | 6 | 3.38 | 4.66 | 4.09 | 2.02 |\n", + "| 500 | 100 | 0.20 | 0.34 | 2.65 ( 0.03 ) | 6.53 ( 0.38 ) | 1.08 ( 0.07 ) | 1.54 ( 0 ) | 11.45 | 7 | 2.65 | 6.53 | 1.08 | 1.54 |\n", + "| 1000 | 100 | 0.10 | 0.40 | 2.31 ( 0.02 ) | 6.77 ( 0.39 ) | 0.27 ( 0.05 ) | 1.39 ( 0 ) | 12.50 | 8 | 2.31 | 6.77 | 0.27 | 1.39 |\n", + "| 50 | 500 | 10.00 | 0.03 | 4.02 ( 0.2 ) | 26.76 ( 0.75 ) | 4.84 ( 0.09 ) | 2.47 ( 0.03 ) | 27.92 | 9 | 4.02 | 26.70 | 4.84 | 2.47 |\n", + "| 100 | 500 | 5.00 | 0.02 | 3.9 ( 0.13 ) | 26.32 ( 0.91 ) | 4.5 ( 0.08 ) | 2.42 ( 0.02 ) | 27.82 | 10 | 3.90 | 26.30 | 4.50 | 2.42 |\n", + "| 500 | 500 | 1.00 | 0.11 | 3.68 ( 0.05 ) | 28.84 ( 1 ) | 1.5 ( 0.07 ) | 2.14 ( 0.01 ) | 33.34 | 11 | 3.68 | 28.80 | 1.50 | 2.14 |\n", + "| 1000 | 500 | 0.50 | 0.12 | 3.69 ( 0.03 ) | 34.08 ( 1.34 ) | 0.49 ( 0.06 ) | 2.06 ( 0 ) | 39.59 | 12 | 3.69 | 34.00 | 0.49 | 2.06 |\n", + "| 50 | 1000 | 20.00 | 0.04 | 4.04 ( 0.2 ) | 48.82 ( 1.04 ) | 5.29 ( 0.07 ) | 2.46 ( 0.03 ) | 49.53 | 13 | 4.04 | 48.80 | 5.29 | 2.46 |\n", + "| 100 | 1000 | 10.00 | 0.02 | 3.8 ( 0.12 ) | 52.42 ( 1.4 ) | 4.72 ( 0.08 ) | 2.42 ( 0.02 ) | 53.70 | 14 | 3.80 | 52.40 | 4.72 | 2.42 |\n", + "| 500 | 1000 | 2.00 | 0.06 | 3.93 ( 0.06 ) | 57.58 ( 1.72 ) | 1.57 ( 0.08 ) | 2.3 ( 0.01 ) | 62.01 | 15 | 3.93 | 57.50 | 1.57 | 2.30 |\n", + "| 1000 | 1000 | 1.00 | 0.07 | 3.93 ( 0.04 ) | 62 ( 1.83 ) | 0.68 ( 0.06 ) | 2.25 ( 0 ) | 67.32 | 16 | 3.93 | NA | 0.68 | 2.25 |\n", + "\n" + ], + "text/plain": [ + " N P Ratio Stab MSE FP FN \n", + "1 50 50 1.00 0.02 4.3 ( 0.2 ) 2.41 ( 0.21 ) 5.22 ( 0.09 )\n", + "2 100 50 0.50 0.18 3.22 ( 0.11 ) 2.63 ( 0.21 ) 3.84 ( 0.11 )\n", + "3 500 50 0.10 0.49 1.94 ( 0.03 ) 3.08 ( 0.27 ) 1.07 ( 0.08 )\n", + "4 1000 50 0.05 0.57 1.53 ( 0.01 ) 3.26 ( 0.26 ) 0.2 ( 0.04 ) \n", + "5 50 100 2.00 0.01 4.04 ( 0.19 ) 5.04 ( 0.36 ) 5.31 ( 0.08 )\n", + "6 100 100 1.00 0.10 3.38 ( 0.11 ) 4.66 ( 0.29 ) 4.09 ( 0.1 ) \n", + "7 500 100 0.20 0.34 2.65 ( 0.03 ) 6.53 ( 0.38 ) 1.08 ( 0.07 )\n", + "8 1000 100 0.10 0.40 2.31 ( 0.02 ) 6.77 ( 0.39 ) 0.27 ( 0.05 )\n", + "9 50 500 10.00 0.03 4.02 ( 0.2 ) 26.76 ( 0.75 ) 4.84 ( 0.09 )\n", + "10 100 500 5.00 0.02 3.9 ( 0.13 ) 26.32 ( 0.91 ) 4.5 ( 0.08 ) \n", + "11 500 500 1.00 0.11 3.68 ( 0.05 ) 28.84 ( 1 ) 1.5 ( 0.07 ) \n", + "12 1000 500 0.50 0.12 3.69 ( 0.03 ) 34.08 ( 1.34 ) 0.49 ( 0.06 )\n", + "13 50 1000 20.00 0.04 4.04 ( 0.2 ) 48.82 ( 1.04 ) 5.29 ( 0.07 )\n", + "14 100 1000 10.00 0.02 3.8 ( 0.12 ) 52.42 ( 1.4 ) 4.72 ( 0.08 )\n", + "15 500 1000 2.00 0.06 3.93 ( 0.06 ) 57.58 ( 1.72 ) 1.57 ( 0.08 )\n", + "16 1000 1000 1.00 0.07 3.93 ( 0.04 ) 62 ( 1.83 ) 0.68 ( 0.06 )\n", + " OOB num_select Index MSE_mean FP_mean FN_mean OOB_mean\n", + "1 2.08 ( 0.02 ) 3.05 1 4.30 2.41 5.22 2.08 \n", + "2 1.78 ( 0.01 ) 4.77 2 3.22 2.63 3.84 1.78 \n", + "3 1.31 ( 0 ) 8.01 3 1.94 3.08 1.07 1.31 \n", + "4 1.17 ( 0 ) 9.06 4 1.53 3.26 0.20 1.17 \n", + "5 2.23 ( 0.02 ) 5.71 5 4.04 5.04 5.31 2.23 \n", + "6 2.02 ( 0.01 ) 6.57 6 3.38 4.66 4.09 2.02 \n", + "7 1.54 ( 0 ) 11.45 7 2.65 6.53 1.08 1.54 \n", + "8 1.39 ( 0 ) 12.50 8 2.31 6.77 0.27 1.39 \n", + "9 2.47 ( 0.03 ) 27.92 9 4.02 26.70 4.84 2.47 \n", + "10 2.42 ( 0.02 ) 27.82 10 3.90 26.30 4.50 2.42 \n", + "11 2.14 ( 0.01 ) 33.34 11 3.68 28.80 1.50 2.14 \n", + "12 2.06 ( 0 ) 39.59 12 3.69 34.00 0.49 2.06 \n", + "13 2.46 ( 0.03 ) 49.53 13 4.04 48.80 5.29 2.46 \n", + "14 2.42 ( 0.02 ) 53.70 14 3.80 52.40 4.72 2.42 \n", + "15 2.3 ( 0.01 ) 62.01 15 3.93 57.50 1.57 2.30 \n", + "16 2.25 ( 0 ) 67.32 16 3.93 NA 0.68 2.25 " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "result.table_ind" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [], + "source": [ + "## export\n", + "write.table(result.table_ind, '../results_summary/sim_ind_rf_jnt.txt', sep='\\t', row.names=F)" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Registered S3 methods overwritten by 'ggplot2':\n", + " method from \n", + " [.quosures rlang\n", + " c.quosures rlang\n", + " print.quosures rlang\n", + "Warning message:\n", + "“Removed 1 rows containing missing values (geom_point).”" + ] + }, + { + "data": { + "image/png": "iVBORw0KGgoAAAANSUhEUgAAA0gAAANICAYAAAD958/bAAAEGWlDQ1BrQ0dDb2xvclNwYWNl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\nQMdXAAAAAElFTkSuQmCC", + "text/plain": [ + "plot without title" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "library(ggplot2)\n", + "library(gridExtra)\n", + "#pdf('../figures_sim/figure_independent_rf_jnt.pdf', height=5, width=7)\n", + "result.table_ind$N = as.factor(result.table_ind$N)\n", + "fig_ind_stab = ggplot(result.table_ind, aes(x=P, y=Stab, color=N)) + geom_point() + ylab('Stability')\n", + "fig_ind_mse = ggplot(result.table_ind, aes(x=P, y=MSE_mean, color=N)) + geom_point() + ylab('MSE')\n", + "fig_ind_fp = ggplot(result.table_ind, aes(x=P, y=FP_mean, color=N)) + geom_point() + ylab('False Positives')\n", + "fig_ind_fn = ggplot(result.table_ind, aes(x=P, y=FN_mean, color=N)) + geom_point() + ylab('False Negatives')\n", + "grid.arrange(fig_ind_stab, fig_ind_mse, fig_ind_fp, fig_ind_fn, ncol=2, top='Independent_RandomForests')\n", + "#dev.off()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# summary: Janitza method has better stability yet much worse MSE than Altman (still much lower stab than others)\n", + "# since Janitza is not applied to all data structures, we don't consider it any more" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "R", + "language": "R", + "name": "ir" + }, + "language_info": { + "codemirror_mode": "r", + "file_extension": ".r", + "mimetype": "text/x-r-source", + "name": "R", + "pygments_lexer": "r", + "version": "3.6.1" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/simulations/notebooks_simulations/sim_independent_summary.ipynb b/simulations/notebooks_simulations/sim_independent_summary.ipynb new file mode 100644 index 0000000..a27f478 --- /dev/null +++ b/simulations/notebooks_simulations/sim_independent_summary.ipynb @@ -0,0 +1,834 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "ind_lasso = read.csv('../results_summary/sim_ind_lasso.txt', sep='\\t')\n", + "ind_elnet = read.csv('../results_summary/sim_ind_elnet.txt', sep='\\t')\n", + "ind_rf = read.csv('../results_summary/sim_ind_rf.txt', sep='\\t')\n", + "ind_compLasso = read.csv('../results_summary/sim_ind_compLasso.txt', sep='\\t')\n", + "\n", + "ind_lasso$method = rep('lasso', dim(ind_lasso)[1])\n", + "ind_elnet$method = rep('elnet', dim(ind_elnet)[1])\n", + "ind_rf$method = rep('rf', dim(ind_rf)[1])\n", + "ind_compLasso$method = rep('compLasso', dim(ind_compLasso)[1])" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
      \n", + "\t
    1. 16
      2. \n", + "\t
    2. 13
      3. \n", + "
    \n" + ], + "text/latex": [ + "\\begin{enumerate*}\n", + "\\item 16\n", + "\\item 13\n", + "\\end{enumerate*}\n" + ], + "text/markdown": [ + "1. 16\n", + "2. 13\n", + "\n", + "\n" + ], + "text/plain": [ + "[1] 16 13" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
      \n", + "\t
    1. 16
      2. \n", + "\t
    2. 13
      3. \n", + "
    \n" + ], + "text/latex": [ + "\\begin{enumerate*}\n", + "\\item 16\n", + "\\item 13\n", + "\\end{enumerate*}\n" + ], + "text/markdown": [ + "1. 16\n", + "2. 13\n", + "\n", + "\n" + ], + "text/plain": [ + "[1] 16 13" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
      \n", + "\t
    1. 16
      2. \n", + "\t
    2. 16
      3. \n", + "
    \n" + ], + "text/latex": [ + "\\begin{enumerate*}\n", + "\\item 16\n", + "\\item 16\n", + "\\end{enumerate*}\n" + ], + "text/markdown": [ + "1. 16\n", + "2. 16\n", + "\n", + "\n" + ], + "text/plain": [ + "[1] 16 16" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
      \n", + "\t
    1. 16
      2. \n", + "\t
    2. 13
      3. \n", + "
    \n" + ], + "text/latex": [ + "\\begin{enumerate*}\n", + "\\item 16\n", + "\\item 13\n", + "\\end{enumerate*}\n" + ], + "text/markdown": [ + "1. 16\n", + "2. 13\n", + "\n", + "\n" + ], + "text/plain": [ + "[1] 16 13" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "dim(ind_lasso)\n", + "dim(ind_elnet)\n", + "dim(ind_rf)\n", + "dim(ind_compLasso)" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
      \n", + "\t
    1. 16
      2. \n", + "\t
    2. 13
      3. \n", + "
    \n" + ], + "text/latex": [ + "\\begin{enumerate*}\n", + "\\item 16\n", + "\\item 13\n", + "\\end{enumerate*}\n" + ], + "text/markdown": [ + "1. 16\n", + "2. 13\n", + "\n", + "\n" + ], + "text/plain": [ + "[1] 16 13" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "ind_rf = ind_rf[!names(ind_rf)%in% c('OOB', 'OOB_mean', 'Index')]\n", + "dim(ind_rf)" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
      \n", + "\t
    1. 64
      2. \n", + "\t
    2. 13
      3. \n", + "
    \n" + ], + "text/latex": [ + "\\begin{enumerate*}\n", + "\\item 64\n", + "\\item 13\n", + "\\end{enumerate*}\n" + ], + "text/markdown": [ + "1. 64\n", + "2. 13\n", + "\n", + "\n" + ], + "text/plain": [ + "[1] 64 13" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "ind = rbind(ind_lasso, ind_elnet)\n", + "ind = rbind(ind, ind_rf)\n", + "ind = rbind(ind, ind_compLasso)\n", + "dim(ind)" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [], + "source": [ + "# fix false positives: when nothing was selected, then fp should be zero\n", + "# fp is now 1 due to length(setdiff(0/NA)) = 1 when actually should be 0 (in cv_sim_apply.R)\n", + "ind$FP_mean[ind$num_select ==0] = 0" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [], + "source": [ + "write.table(ind, '../results_summary/table_ind_all.txt', sep='\\t', row.names=F)" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", + "\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\n", + "
    NPmethodStabMSE_meanFP_meanFN_meannum_selectFDR
    161000 1000 lasso 0.64 0.27 4.39 0.00 9.39 0.26
    321000 1000 elnet 0.15 0.27 34.60 0.00 39.65 0.79
    481000 1000 rf 0.09 0.85 41.70 0.99 46.78 0.89
    641000 1000 compLasso0.96 1.16 0.24 0.00 6.24 0.03
    121000 500 lasso 0.72 0.27 3.35 0.00 8.35 0.21
    281000 500 elnet 0.18 0.26 27.20 0.00 32.21 0.77
    441000 500 rf 0.19 0.78 18.70 0.84 23.89 0.78
    601000 500 compLasso0.96 1.24 0.25 0.00 6.25 0.03
    81000 100 lasso 0.82 0.27 2.25 0.00 7.25 0.15
    241000 100 elnet 0.23 0.26 17.00 0.00 22.05 0.69
    401000 100 rf 0.81 0.47 0.71 0.53 6.18 0.10
    561000 100 compLasso0.89 1.04 0.71 0.00 6.71 0.08
    41000 50 lasso 0.86 0.26 1.82 0.00 6.82 0.10
    201000 50 elnet 0.27 0.25 11.70 0.00 16.76 0.60
    361000 50 rf 0.88 0.35 0.07 0.78 5.29 0.01
    521000 50 compLasso0.93 1.18 0.39 0.00 6.39 0.04
    15 500 1000 lasso 0.52 0.29 6.51 0.00 11.51 0.40
    31 500 1000 elnet 0.14 0.27 35.90 0.00 40.98 0.80
    47 500 1000 rf 0.06 0.89 44.70 1.81 48.96 0.91
    63 500 1000 compLasso0.96 1.12 0.27 0.00 6.27 0.03
    \n" + ], + "text/latex": [ + "\\begin{tabular}{r|lllllllll}\n", + " & N & P & method & Stab & MSE\\_mean & FP\\_mean & FN\\_mean & num\\_select & FDR\\\\\n", + "\\hline\n", + "\t16 & 1000 & 1000 & lasso & 0.64 & 0.27 & 4.39 & 0.00 & 9.39 & 0.26 \\\\\n", + "\t32 & 1000 & 1000 & elnet & 0.15 & 0.27 & 34.60 & 0.00 & 39.65 & 0.79 \\\\\n", + "\t48 & 1000 & 1000 & rf & 0.09 & 0.85 & 41.70 & 0.99 & 46.78 & 0.89 \\\\\n", + "\t64 & 1000 & 1000 & compLasso & 0.96 & 1.16 & 0.24 & 0.00 & 6.24 & 0.03 \\\\\n", + "\t12 & 1000 & 500 & lasso & 0.72 & 0.27 & 3.35 & 0.00 & 8.35 & 0.21 \\\\\n", + "\t28 & 1000 & 500 & elnet & 0.18 & 0.26 & 27.20 & 0.00 & 32.21 & 0.77 \\\\\n", + "\t44 & 1000 & 500 & rf & 0.19 & 0.78 & 18.70 & 0.84 & 23.89 & 0.78 \\\\\n", + "\t60 & 1000 & 500 & compLasso & 0.96 & 1.24 & 0.25 & 0.00 & 6.25 & 0.03 \\\\\n", + "\t8 & 1000 & 100 & lasso & 0.82 & 0.27 & 2.25 & 0.00 & 7.25 & 0.15 \\\\\n", + "\t24 & 1000 & 100 & elnet & 0.23 & 0.26 & 17.00 & 0.00 & 22.05 & 0.69 \\\\\n", + "\t40 & 1000 & 100 & rf & 0.81 & 0.47 & 0.71 & 0.53 & 6.18 & 0.10 \\\\\n", + "\t56 & 1000 & 100 & compLasso & 0.89 & 1.04 & 0.71 & 0.00 & 6.71 & 0.08 \\\\\n", + "\t4 & 1000 & 50 & lasso & 0.86 & 0.26 & 1.82 & 0.00 & 6.82 & 0.10 \\\\\n", + "\t20 & 1000 & 50 & elnet & 0.27 & 0.25 & 11.70 & 0.00 & 16.76 & 0.60 \\\\\n", + "\t36 & 1000 & 50 & rf & 0.88 & 0.35 & 0.07 & 0.78 & 5.29 & 0.01 \\\\\n", + "\t52 & 1000 & 50 & compLasso & 0.93 & 1.18 & 0.39 & 0.00 & 6.39 & 0.04 \\\\\n", + "\t15 & 500 & 1000 & lasso & 0.52 & 0.29 & 6.51 & 0.00 & 11.51 & 0.40 \\\\\n", + "\t31 & 500 & 1000 & elnet & 0.14 & 0.27 & 35.90 & 0.00 & 40.98 & 0.80 \\\\\n", + "\t47 & 500 & 1000 & rf & 0.06 & 0.89 & 44.70 & 1.81 & 48.96 & 0.91 \\\\\n", + "\t63 & 500 & 1000 & compLasso & 0.96 & 1.12 & 0.27 & 0.00 & 6.27 & 0.03 \\\\\n", + "\\end{tabular}\n" + ], + "text/markdown": [ + "\n", + "| | N | P | method | Stab | MSE_mean | FP_mean | FN_mean | num_select | FDR |\n", + "|---|---|---|---|---|---|---|---|---|---|\n", + "| 16 | 1000 | 1000 | lasso | 0.64 | 0.27 | 4.39 | 0.00 | 9.39 | 0.26 |\n", + "| 32 | 1000 | 1000 | elnet | 0.15 | 0.27 | 34.60 | 0.00 | 39.65 | 0.79 |\n", + "| 48 | 1000 | 1000 | rf | 0.09 | 0.85 | 41.70 | 0.99 | 46.78 | 0.89 |\n", + "| 64 | 1000 | 1000 | compLasso | 0.96 | 1.16 | 0.24 | 0.00 | 6.24 | 0.03 |\n", + "| 12 | 1000 | 500 | lasso | 0.72 | 0.27 | 3.35 | 0.00 | 8.35 | 0.21 |\n", + "| 28 | 1000 | 500 | elnet | 0.18 | 0.26 | 27.20 | 0.00 | 32.21 | 0.77 |\n", + "| 44 | 1000 | 500 | rf | 0.19 | 0.78 | 18.70 | 0.84 | 23.89 | 0.78 |\n", + "| 60 | 1000 | 500 | compLasso | 0.96 | 1.24 | 0.25 | 0.00 | 6.25 | 0.03 |\n", + "| 8 | 1000 | 100 | lasso | 0.82 | 0.27 | 2.25 | 0.00 | 7.25 | 0.15 |\n", + "| 24 | 1000 | 100 | elnet | 0.23 | 0.26 | 17.00 | 0.00 | 22.05 | 0.69 |\n", + "| 40 | 1000 | 100 | rf | 0.81 | 0.47 | 0.71 | 0.53 | 6.18 | 0.10 |\n", + "| 56 | 1000 | 100 | compLasso | 0.89 | 1.04 | 0.71 | 0.00 | 6.71 | 0.08 |\n", + "| 4 | 1000 | 50 | lasso | 0.86 | 0.26 | 1.82 | 0.00 | 6.82 | 0.10 |\n", + "| 20 | 1000 | 50 | elnet | 0.27 | 0.25 | 11.70 | 0.00 | 16.76 | 0.60 |\n", + "| 36 | 1000 | 50 | rf | 0.88 | 0.35 | 0.07 | 0.78 | 5.29 | 0.01 |\n", + "| 52 | 1000 | 50 | compLasso | 0.93 | 1.18 | 0.39 | 0.00 | 6.39 | 0.04 |\n", + "| 15 | 500 | 1000 | lasso | 0.52 | 0.29 | 6.51 | 0.00 | 11.51 | 0.40 |\n", + "| 31 | 500 | 1000 | elnet | 0.14 | 0.27 | 35.90 | 0.00 | 40.98 | 0.80 |\n", + "| 47 | 500 | 1000 | rf | 0.06 | 0.89 | 44.70 | 1.81 | 48.96 | 0.91 |\n", + "| 63 | 500 | 1000 | compLasso | 0.96 | 1.12 | 0.27 | 0.00 | 6.27 | 0.03 |\n", + "\n" + ], + "text/plain": [ + " N P method Stab MSE_mean FP_mean FN_mean num_select FDR \n", + "16 1000 1000 lasso 0.64 0.27 4.39 0.00 9.39 0.26\n", + "32 1000 1000 elnet 0.15 0.27 34.60 0.00 39.65 0.79\n", + "48 1000 1000 rf 0.09 0.85 41.70 0.99 46.78 0.89\n", + "64 1000 1000 compLasso 0.96 1.16 0.24 0.00 6.24 0.03\n", + "12 1000 500 lasso 0.72 0.27 3.35 0.00 8.35 0.21\n", + "28 1000 500 elnet 0.18 0.26 27.20 0.00 32.21 0.77\n", + "44 1000 500 rf 0.19 0.78 18.70 0.84 23.89 0.78\n", + "60 1000 500 compLasso 0.96 1.24 0.25 0.00 6.25 0.03\n", + "8 1000 100 lasso 0.82 0.27 2.25 0.00 7.25 0.15\n", + "24 1000 100 elnet 0.23 0.26 17.00 0.00 22.05 0.69\n", + "40 1000 100 rf 0.81 0.47 0.71 0.53 6.18 0.10\n", + "56 1000 100 compLasso 0.89 1.04 0.71 0.00 6.71 0.08\n", + "4 1000 50 lasso 0.86 0.26 1.82 0.00 6.82 0.10\n", + "20 1000 50 elnet 0.27 0.25 11.70 0.00 16.76 0.60\n", + "36 1000 50 rf 0.88 0.35 0.07 0.78 5.29 0.01\n", + "52 1000 50 compLasso 0.93 1.18 0.39 0.00 6.39 0.04\n", + "15 500 1000 lasso 0.52 0.29 6.51 0.00 11.51 0.40\n", + "31 500 1000 elnet 0.14 0.27 35.90 0.00 40.98 0.80\n", + "47 500 1000 rf 0.06 0.89 44.70 1.81 48.96 0.91\n", + "63 500 1000 compLasso 0.96 1.12 0.27 0.00 6.27 0.03" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "ind[order(ind$N, ind$P, decreasing=T), c('N', 'P', 'method', 'Stab', 'MSE_mean', 'FP_mean', 'FN_mean', 'num_select', 'FDR')][1:20, ]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### data visualization" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Registered S3 methods overwritten by 'ggplot2':\n", + " method from \n", + " [.quosures rlang\n", + " c.quosures rlang\n", + " print.quosures rlang\n" + ] + } + ], + "source": [ + "library(ggplot2)\n", + "ind$N = as.factor(ind$N)" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [], + "source": [ + "fig_num_select <- ggplot(ind, aes(fill=method, y=num_select, x=N)) + \n", + " geom_bar(position=\"dodge\", stat=\"identity\") + \n", + " ggtitle(\"Independent\") + xlab(\"Number of Samples\") + ylab(\"Number of Selected Features\") + \n", + " theme(plot.title = element_text(hjust = 0.5), legend.position=\"top\") + \n", + " facet_grid(~P, labeller = label_both) +\n", + " scale_fill_brewer(palette=\"Dark2\", name=\"Method\",\n", + " breaks=c(\"compLasso\", \"elnet\", \"lasso\", \"rf\"),\n", + " labels=c(\"Compositional Lasso\", \"Elastic Net\", \"Lasso\", \"Random Forest\"))\n", + "ggsave('../figures_sim/figure_ind_num_select.pdf', height=5, width=5.5)" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [], + "source": [ + "figt_stab <- ggplot(ind, aes(fill=method, y=Stab, x=N)) + \n", + " geom_bar(position=\"dodge\", stat=\"identity\") + \n", + " ggtitle(\"Independent\") + xlab(\"Number of Samples\") + ylab(\"Stability\") + \n", + " theme(plot.title = element_text(hjust = 0.5), legend.position=\"top\") + \n", + " facet_grid(~P, labeller = label_both) +\n", + " scale_fill_brewer(palette=\"Dark2\", name=\"Method\",\n", + " breaks=c(\"compLasso\", \"elnet\", \"lasso\", \"rf\"),\n", + " labels=c(\"Compositional Lasso\", \"Elastic Net\", \"Lasso\", \"Random Forest\"))\n", + "ggsave('../figures_sim/figure_ind_Stab.pdf', height=5, width=5.5)" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [], + "source": [ + "figt_mse <- ggplot(ind, aes(fill=method, y=MSE_mean, x=N)) + \n", + " geom_bar(position=\"dodge\", stat=\"identity\") + \n", + " ggtitle(\"Independent\") + xlab(\"Number of Samples\") + ylab(\"MSE\") + \n", + " theme(plot.title = element_text(hjust = 0.5), legend.position=\"top\") + \n", + " facet_grid(~P, labeller = label_both) +\n", + " scale_fill_brewer(palette=\"Dark2\", name=\"Method\",\n", + " breaks=c(\"compLasso\", \"elnet\", \"lasso\", \"rf\"),\n", + " labels=c(\"Compositional Lasso\", \"Elastic Net\", \"Lasso\", \"Random Forest\"))\n", + "ggsave('../figures_sim/figure_ind_MSE.pdf', height=5, width=5.5)" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [], + "source": [ + "figt_FP <- ggplot(ind, aes(fill=method, y=FP_mean, x=N)) + \n", + " geom_bar(position=\"dodge\", stat=\"identity\") + \n", + " ggtitle(\"Independent\") + xlab(\"Number of Samples\") + ylab(\"#False Positives\") + \n", + " theme(plot.title = element_text(hjust = 0.5), legend.position=\"top\") + \n", + " facet_grid(~P, labeller = label_both) +\n", + " scale_fill_brewer(palette=\"Dark2\", name=\"Method\",\n", + " breaks=c(\"compLasso\", \"elnet\", \"lasso\", \"rf\"),\n", + " labels=c(\"Compositional Lasso\", \"Elastic Net\", \"Lasso\", \"Random Forest\"))\n", + "ggsave('../figures_sim/figure_ind_FP.pdf', height=5, width=5.5)" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [], + "source": [ + "figt_FN <- ggplot(ind, aes(fill=method, y=FN_mean, x=N)) + \n", + " geom_bar(position=\"dodge\", stat=\"identity\") + \n", + " ggtitle(\"Independent\") + xlab(\"Number of Samples\") + ylab(\"#False Negatives\") + \n", + " theme(plot.title = element_text(hjust = 0.5), legend.position=\"top\") + \n", + " facet_grid(~P, labeller = label_both) +\n", + " scale_fill_brewer(palette=\"Dark2\", name=\"Method\",\n", + " breaks=c(\"compLasso\", \"elnet\", \"lasso\", \"rf\"),\n", + " labels=c(\"Compositional Lasso\", \"Elastic Net\", \"Lasso\", \"Random Forest\"))\n", + "ggsave('../figures_sim/figure_ind_FN.pdf', height=5, width=5.5)" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Registered S3 methods overwritten by 'ggplot2':\n", + " method from \n", + " [.quosures rlang\n", + " c.quosures rlang\n", + " print.quosures rlang\n", + "Loading required package: magrittr\n" + ] + }, + { + "data": { + "image/png": "iVBORw0KGgoAAAANSUhEUgAAA0gAAANICAYAAAD958/bAAAEGWlDQ1BrQ0dDb2xvclNwYWNl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\nCFSDwP8AFrr4FYXiTj8AAAAASUVORK5CYII=", + "text/plain": [ + "plot without title" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "library(ggplot2)\n", + "library(ggpubr)\n", + "ind$N = as.factor(ind$N)\n", + "fig_ind_stab = ggplot(ind, aes(x=P, y=Stab, color=N)) + geom_point(aes(shape=method)) + ylab('Stability')\n", + "fig_ind_mse = ggplot(ind, aes(x=P, y=MSE_mean, color=N)) + geom_point(aes(shape=method)) + ylab('MSE')\n", + "fig_ind_fp = ggplot(ind, aes(x=P, y=FP_mean, color=N)) + geom_point(aes(shape=method)) + ylab('False Positives')\n", + "fig_ind_fn = ggplot(ind, aes(x=P, y=FN_mean, color=N)) + geom_point(aes(shape=method)) + ylab('False Negatives')\n", + "fig = ggarrange(fig_ind_stab, fig_ind_mse, fig_ind_fp, fig_ind_fn, ncol=2, nrow=2, \n", + " common.legend = TRUE, legend=\"bottom\") \n", + "fig = annotate_figure(fig, top = text_grob(\"Independent\"))\n", + "fig" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "file saved to ../figures_sim/figure_ind_summary.pdf\n" + ] + } + ], + "source": [ + "ggexport(fig, filename = \"../figures_sim/figure_ind_summary.pdf\", height=8, width=8)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### plot relationship between MSE, Stab, FP, FN" + ] + }, + { + "cell_type": "code", + "execution_count": 88, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", + "\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\n", + "
    NPRatioStabMSEFPFNnum_selectMSE_meanFP_meanFN_meanmethod
    50 50 1.00 0.37 0.54 ( 0.03 )8.36 ( 0.45 )0.02 ( 0.01 )13.34 0.54 8.36 0.02 lasso
    100 50 0.50 0.51 0.36 ( 0.01 )5.5 ( 0.42 ) 0 ( 0 ) 10.50 0.36 5.50 0.00 lasso
    500 50 0.10 0.79 0.28 ( 0 ) 2.33 ( 0.14 )0 ( 0 ) 7.33 0.28 2.33 0.00 lasso
    1000 50 0.05 0.86 0.26 ( 0 ) 1.82 ( 0.13 )0 ( 0 ) 6.82 0.26 1.82 0.00 lasso
    50 100 2.00 0.32 0.66 ( 0.04 )11.1 ( 0.38 )0.08 ( 0.03 )16.02 0.66 11.10 0.08 lasso
    100 100 1.00 0.46 0.41 ( 0.01 )7.23 ( 0.4 ) 0 ( 0 ) 12.23 0.41 7.23 0.00 lasso
    \n" + ], + "text/latex": [ + "\\begin{tabular}{r|llllllllllll}\n", + " N & P & Ratio & Stab & MSE & FP & FN & num\\_select & MSE\\_mean & FP\\_mean & FN\\_mean & method\\\\\n", + "\\hline\n", + "\t 50 & 50 & 1.00 & 0.37 & 0.54 ( 0.03 ) & 8.36 ( 0.45 ) & 0.02 ( 0.01 ) & 13.34 & 0.54 & 8.36 & 0.02 & lasso \\\\\n", + "\t 100 & 50 & 0.50 & 0.51 & 0.36 ( 0.01 ) & 5.5 ( 0.42 ) & 0 ( 0 ) & 10.50 & 0.36 & 5.50 & 0.00 & lasso \\\\\n", + "\t 500 & 50 & 0.10 & 0.79 & 0.28 ( 0 ) & 2.33 ( 0.14 ) & 0 ( 0 ) & 7.33 & 0.28 & 2.33 & 0.00 & lasso \\\\\n", + "\t 1000 & 50 & 0.05 & 0.86 & 0.26 ( 0 ) & 1.82 ( 0.13 ) & 0 ( 0 ) & 6.82 & 0.26 & 1.82 & 0.00 & lasso \\\\\n", + "\t 50 & 100 & 2.00 & 0.32 & 0.66 ( 0.04 ) & 11.1 ( 0.38 ) & 0.08 ( 0.03 ) & 16.02 & 0.66 & 11.10 & 0.08 & lasso \\\\\n", + "\t 100 & 100 & 1.00 & 0.46 & 0.41 ( 0.01 ) & 7.23 ( 0.4 ) & 0 ( 0 ) & 12.23 & 0.41 & 7.23 & 0.00 & lasso \\\\\n", + "\\end{tabular}\n" + ], + "text/markdown": [ + "\n", + "| N | P | Ratio | Stab | MSE | FP | FN | num_select | MSE_mean | FP_mean | FN_mean | method |\n", + "|---|---|---|---|---|---|---|---|---|---|---|---|\n", + "| 50 | 50 | 1.00 | 0.37 | 0.54 ( 0.03 ) | 8.36 ( 0.45 ) | 0.02 ( 0.01 ) | 13.34 | 0.54 | 8.36 | 0.02 | lasso |\n", + "| 100 | 50 | 0.50 | 0.51 | 0.36 ( 0.01 ) | 5.5 ( 0.42 ) | 0 ( 0 ) | 10.50 | 0.36 | 5.50 | 0.00 | lasso |\n", + "| 500 | 50 | 0.10 | 0.79 | 0.28 ( 0 ) | 2.33 ( 0.14 ) | 0 ( 0 ) | 7.33 | 0.28 | 2.33 | 0.00 | lasso |\n", + "| 1000 | 50 | 0.05 | 0.86 | 0.26 ( 0 ) | 1.82 ( 0.13 ) | 0 ( 0 ) | 6.82 | 0.26 | 1.82 | 0.00 | lasso |\n", + "| 50 | 100 | 2.00 | 0.32 | 0.66 ( 0.04 ) | 11.1 ( 0.38 ) | 0.08 ( 0.03 ) | 16.02 | 0.66 | 11.10 | 0.08 | lasso |\n", + "| 100 | 100 | 1.00 | 0.46 | 0.41 ( 0.01 ) | 7.23 ( 0.4 ) | 0 ( 0 ) | 12.23 | 0.41 | 7.23 | 0.00 | lasso |\n", + "\n" + ], + "text/plain": [ + " N P Ratio Stab MSE FP FN num_select\n", + "1 50 50 1.00 0.37 0.54 ( 0.03 ) 8.36 ( 0.45 ) 0.02 ( 0.01 ) 13.34 \n", + "2 100 50 0.50 0.51 0.36 ( 0.01 ) 5.5 ( 0.42 ) 0 ( 0 ) 10.50 \n", + "3 500 50 0.10 0.79 0.28 ( 0 ) 2.33 ( 0.14 ) 0 ( 0 ) 7.33 \n", + "4 1000 50 0.05 0.86 0.26 ( 0 ) 1.82 ( 0.13 ) 0 ( 0 ) 6.82 \n", + "5 50 100 2.00 0.32 0.66 ( 0.04 ) 11.1 ( 0.38 ) 0.08 ( 0.03 ) 16.02 \n", + "6 100 100 1.00 0.46 0.41 ( 0.01 ) 7.23 ( 0.4 ) 0 ( 0 ) 12.23 \n", + " MSE_mean FP_mean FN_mean method\n", + "1 0.54 8.36 0.02 lasso \n", + "2 0.36 5.50 0.00 lasso \n", + "3 0.28 2.33 0.00 lasso \n", + "4 0.26 1.82 0.00 lasso \n", + "5 0.66 11.10 0.08 lasso \n", + "6 0.41 7.23 0.00 lasso " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "dat = read.csv('../results_summary/table_ind_all.txt', sep='\\t')\n", + "head(dat)" + ] + }, + { + "cell_type": "code", + "execution_count": 89, + "metadata": {}, + "outputs": [], + "source": [ + "dat$N = as.factor(dat$N)\n", + "#dat$P = as.factor(dat$P)\n", + "dat$Ratio = as.factor(dat$Ratio)" + ] + }, + { + "cell_type": "code", + "execution_count": 90, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "\n", + "0.05 0.1 0.2 0.5 1 2 5 10 20 \n", + " 4 8 4 8 16 8 4 8 4 " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "table(dat$Ratio)" + ] + }, + { + "cell_type": "code", + "execution_count": 91, + "metadata": {}, + "outputs": [], + "source": [ + "library(ggplot2)\n", + "library(gridExtra)\n", + "library(ggpubr)" + ] + }, + { + "cell_type": "code", + "execution_count": 127, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "iVBORw0KGgoAAAANSUhEUgAAA0gAAANICAYAAAD958/bAAAEGWlDQ1BrQ0dDb2xvclNwYWNl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\nmARIgARIgARIgARIgARIwCUC/x/t/EM695sZswAAAABJRU5ErkJggg==", + "text/plain": [ + "plot without title" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "#facet_grid by P & N: not easy to see\n", + "ggplot(dat, aes(x=Stab, y=MSE_mean, color=method)) + geom_point() +\n", + " facet_grid(N ~ P, labeller = label_both) +\n", + "theme(axis.text.x = element_text(angle = 90))" + ] + }, + { + "cell_type": "code", + "execution_count": 145, + "metadata": {}, + "outputs": [], + "source": [ + "fig_mse_stab <- ggplot(dat, aes(x=Stab, y=MSE_mean, color=method, size=Ratio)) + geom_point() + \n", + " #theme(legend.position=\"bottom\", legend.box=\"vertical\", legend.margin=margin()) +\n", + " scale_size_manual(values=c(0.1, 0.5, 1, 1.5, 3, 5, 7, 9, 11)) + \n", + " labs(title='Independent Correlation Structure', x='Stability', y='MSE') + \n", + " theme(plot.title = element_text(hjust = 0.5, size=15, face=\"bold.italic\"), \n", + " axis.title.x = element_text(size=14, face=\"bold\"),\n", + " axis.title.y = element_text(size=14, face=\"bold\"))\n", + "\n", + "fig_mse_fp <- ggplot(dat, aes(x=FP_mean, y=MSE_mean, color=method, size=Ratio)) + geom_point() + \n", + " #theme(legend.position=\"bottom\", legend.box=\"vertical\", legend.margin=margin()) +\n", + " scale_size_manual(values=c(0.1, 0.5, 1, 1.5, 3, 5, 7, 9, 11)) + \n", + " labs(title='Independent Correlation Structure', x='False Positives', y='MSE') + \n", + " theme(plot.title = element_text(hjust = 0.5, size=15, face=\"bold.italic\"), \n", + " axis.title.x = element_text(size=14, face=\"bold\"),\n", + " axis.title.y = element_text(size=14, face=\"bold\"))\n", + "\n", + "fig_stab_fp <- ggplot(dat, aes(x=FP_mean, y=Stab, color=method, size=Ratio)) + geom_point() + \n", + " #theme(legend.position=\"bottom\", legend.box=\"vertical\", legend.margin=margin()) +\n", + " scale_size_manual(values=c(0.1, 0.5, 1, 1.5, 3, 5, 7, 9, 11)) + \n", + " labs(title='Independent Correlation Structure', x='False Positives', y='Stability') + \n", + " theme(plot.title = element_text(hjust = 0.5, size=15, face=\"bold.italic\"), \n", + " axis.title.x = element_text(size=14, face=\"bold\"),\n", + " axis.title.y = element_text(size=14, face=\"bold\"))\n", + "\n", + "fig_mse_fn <- ggplot(dat, aes(x=FN_mean, y=MSE_mean, color=method, size=Ratio)) + geom_point() + \n", + " #theme(legend.position=\"bottom\", legend.box=\"vertical\", legend.margin=margin()) +\n", + " scale_size_manual(values=c(0.1, 0.5, 1, 1.5, 3, 5, 7, 9, 11)) + \n", + " labs(title='Independent Correlation Structure', x='False Negatives', y='MSE') + \n", + " theme(plot.title = element_text(hjust = 0.5, size=15, face=\"bold.italic\"), \n", + " axis.title.x = element_text(size=14, face=\"bold\"),\n", + " axis.title.y = element_text(size=14, face=\"bold\"))\n", + "\n", + "fig_stab_fn <- ggplot(dat, aes(x=FN_mean, y=Stab, color=method, size=Ratio)) + geom_point() + \n", + " #theme(legend.position=\"bottom\", legend.box=\"vertical\", legend.margin=margin()) +\n", + " scale_size_manual(values=c(0.1, 0.5, 1, 1.5, 3, 5, 7, 9, 11)) + \n", + " labs(title='Independent Correlation Structure', x='False Negatives', y='Stability') + \n", + " theme(plot.title = element_text(hjust = 0.5, size=15, face=\"bold.italic\"), \n", + " axis.title.x = element_text(size=14, face=\"bold\"),\n", + " axis.title.y = element_text(size=14, face=\"bold\"))" + ] + }, + { + "cell_type": "code", + "execution_count": 147, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "iVBORw0KGgoAAAANSUhEUgAAA0gAAANICAYAAAD958/bAAAEGWlDQ1BrQ0dDb2xvclNwYWNl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\nAABJRU5ErkJggg==", + "text/plain": [ + "plot without title" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "ggarrange(fig_mse_fp, fig_stab_fp, fig_mse_fn, fig_stab_fn, # list of plots\n", + " labels = \"AUTO\", # labels\n", + " common.legend = T, # COMMON LEGEND\n", + " legend = \"right\", # legend position\n", + " align = \"hv\", # Align them both, horizontal and vertical\n", + " nrow = 2, ncol=2)" + ] + }, + { + "cell_type": "code", + "execution_count": 82, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Warning message:\n", + "“Using size for a discrete variable is not advised.”" + ] + }, + { + "data": { + "image/png": "iVBORw0KGgoAAAANSUhEUgAAA0gAAANICAYAAAD958/bAAAEGWlDQ1BrQ0dDb2xvclNwYWNl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\ngEAUC/w/t6Y2Zwzi6NEAAAAASUVORK5CYII=", + "text/plain": [ + "plot without title" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "#fig_N <- ggplot(dat, aes(x=Stab, y=MSE_mean, color=method, size=N)) + geom_point() + theme(legend.position=\"top\")\n", + "#fig_P <- ggplot(dat, aes(x=Stab, y=MSE_mean, color=method, size=P)) + geom_point() + theme(legend.position=\"top\")\n", + "# fig_r <- ggplot(dat, aes(x=Stab, y=MSE_mean, color=method, size=Ratio)) + geom_point() + \n", + "# theme(legend.position=\"top\") + scale_size_discrete(range = c(1,7))\n", + "fig_r <- ggplot(dat, aes(x=Stab, y=MSE_mean, color=Ratio, shape=method)) + geom_point() + \n", + " theme(legend.position=\"top\") + scale_color_gradientn(colors = c(\"#00AFBB\", \"#E7B800\", \"#FC4E07\"))\n", + "fig_all <- ggplot(dat, aes(x=Stab, y=MSE_mean, color=P, size=N, shape=method)) + geom_point() + \n", + " theme(legend.position=\"top\") + scale_color_gradientn(colors = c(\"#00AFBB\", \"#E7B800\", \"#FC4E07\"))\n", + "grid.arrange(fig_all, fig_r, ncol=1)" + ] + }, + { + "cell_type": "code", + "execution_count": 85, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "iVBORw0KGgoAAAANSUhEUgAAA0gAAANICAYAAAD958/bAAAEGWlDQ1BrQ0dDb2xvclNwYWNl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\nQAAEfCLw/0sasYyUEIwmAAAAAElFTkSuQmCC", + "text/plain": [ + "plot without title" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig_mse_fp <- ggplot(dat, aes(x=FP_mean, y=MSE_mean, color=Ratio, shape=method)) + geom_point() + \n", + "theme(legend.position=\"top\") + scale_color_gradientn(colors = c(\"#00AFBB\", \"#E7B800\", \"#FC4E07\"))\n", + "fig_stab_fp <- ggplot(dat, aes(x=FP_mean, y=Stab, color=Ratio, shape=method)) + geom_point() + \n", + "theme(legend.position=\"top\") + scale_color_gradientn(colors = c(\"#00AFBB\", \"#E7B800\", \"#FC4E07\"))\n", + "fig_mse_fn <- ggplot(dat, aes(x=FN_mean, y=MSE_mean, color=Ratio, shape=method)) + geom_point() + \n", + "theme(legend.position=\"none\") + scale_color_gradientn(colors = c(\"#00AFBB\", \"#E7B800\", \"#FC4E07\"))\n", + "fig_stab_fn <- ggplot(dat, aes(x=FN_mean, y=Stab, color=Ratio, shape=method)) + geom_point() + \n", + "theme(legend.position=\"none\") + scale_color_gradientn(colors = c(\"#00AFBB\", \"#E7B800\", \"#FC4E07\"))\n", + "grid.arrange(fig_mse_fp, fig_stab_fp, fig_mse_fn, fig_stab_fn, ncol=2)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "R", + "language": "R", + "name": "ir" + }, + "language_info": { + "codemirror_mode": "r", + "file_extension": ".r", + "mimetype": "text/x-r-source", + "name": "R", + "pygments_lexer": "r", + "version": "3.6.1" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/simulations/notebooks_simulations/sim_toe_compLasso.ipynb b/simulations/notebooks_simulations/sim_toe_compLasso.ipynb new file mode 100644 index 0000000..c37587e --- /dev/null +++ b/simulations/notebooks_simulations/sim_toe_compLasso.ipynb @@ -0,0 +1,816 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "load('../sim_data/toe_compLasso.RData')" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "dir = '../sim_data'\n", + "dim.list = list()\n", + "size = c(50, 100, 500, 1000)\n", + "idx = 0\n", + "for (P in size){\n", + " for (N in size){\n", + " idx = idx + 1\n", + " dim.list[[idx]] = c(P=P, N=N)\n", + " }\n", + "}\n", + "\n", + "rou.list = seq(0.1, 0.9, 0.2)\n", + "\n", + "files = NULL\n", + "for (rou in rou.list){\n", + " for (dim in dim.list){\n", + " p = dim[1]\n", + " n = dim[2]\n", + " files = cbind(files, paste0(dir, '/sim_toeplitz_corr', rou, paste('P', p, 'N', n, sep='_'), '.RData', sep=''))\n", + " }\n", + "}" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "avg_FDR = NULL\n", + "for (i in 1:length(files)){\n", + " sim_file = files[i]\n", + " load(sim_file, dat <- new.env())\n", + " sub = dat$sim_array[[i]]\n", + " p = sub$p # take true values from 1st replicate of each simulated data\n", + " coef = sub$beta\n", + " coef.true = which(coef != 0)\n", + " \n", + " tt = results_toe_compLasso[[i]]$Stab.table\n", + " \n", + " FDR = NULL\n", + " for (r in 1:nrow(tt)){\n", + " FDR = c(FDR, length(setdiff(which(tt[r, ] !=0), coef.true))/sum(tt[r, ]))\n", + "\n", + " }\n", + " \n", + " avg_FDR = c(avg_FDR, mean(FDR, na.rm=T))\n", + "}" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "table_toe = NULL\n", + "tmp_num_select = rep(0, length(results_toe_compLasso))\n", + "for (i in 1:length(results_toe_compLasso)){\n", + " table_toe = rbind(table_toe, results_toe_compLasso[[i]][c('n', 'p', 'rou', 'FP', 'FN', 'MSE', 'Stab')])\n", + " tmp_num_select[i] = mean(rowSums(results_toe_compLasso[[i]]$Stab.table))\n", + " \n", + "}\n", + "table_toe = as.data.frame(table_toe)\n", + "table_toe$num_select = tmp_num_select\n", + "table_toe$FDR = round(avg_FDR,2)" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", + "\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\n", + "
    nprouFPFNMSEStabnum_selectFDR
    50 50 0.1 3.68 ( 0.29 )0.06 ( 0.03 )0.88 ( 0.05 )0.56 9.62 0.33
    100 50 0.1 1.51 ( 0.35 )0 ( 0 ) 0.87 ( 0.05 )0.77 7.51 0.12
    500 50 0.1 0.73 ( 0.19 )0 ( 0 ) 0.99 ( 0.05 )0.88 6.73 0.07
    1000 50 0.1 0.55 ( 0.17 )0 ( 0 ) 1.09 ( 0.04 )0.9 6.55 0.05
    50 100 0.1 4.24 ( 0.3 ) 0.23 ( 0.06 )1.12 ( 0.1 ) 0.53 10.01 0.37
    100 100 0.1 1.51 ( 0.34 )0 ( 0 ) 0.85 ( 0.04 )0.79 7.51 0.13
    \n" + ], + "text/latex": [ + "\\begin{tabular}{r|lllllllll}\n", + " n & p & rou & FP & FN & MSE & Stab & num\\_select & FDR\\\\\n", + "\\hline\n", + "\t 50 & 50 & 0.1 & 3.68 ( 0.29 ) & 0.06 ( 0.03 ) & 0.88 ( 0.05 ) & 0.56 & 9.62 & 0.33 \\\\\n", + "\t 100 & 50 & 0.1 & 1.51 ( 0.35 ) & 0 ( 0 ) & 0.87 ( 0.05 ) & 0.77 & 7.51 & 0.12 \\\\\n", + "\t 500 & 50 & 0.1 & 0.73 ( 0.19 ) & 0 ( 0 ) & 0.99 ( 0.05 ) & 0.88 & 6.73 & 0.07 \\\\\n", + "\t 1000 & 50 & 0.1 & 0.55 ( 0.17 ) & 0 ( 0 ) & 1.09 ( 0.04 ) & 0.9 & 6.55 & 0.05 \\\\\n", + "\t 50 & 100 & 0.1 & 4.24 ( 0.3 ) & 0.23 ( 0.06 ) & 1.12 ( 0.1 ) & 0.53 & 10.01 & 0.37 \\\\\n", + "\t 100 & 100 & 0.1 & 1.51 ( 0.34 ) & 0 ( 0 ) & 0.85 ( 0.04 ) & 0.79 & 7.51 & 0.13 \\\\\n", + "\\end{tabular}\n" + ], + "text/markdown": [ + "\n", + "| n | p | rou | FP | FN | MSE | Stab | num_select | FDR |\n", + "|---|---|---|---|---|---|---|---|---|\n", + "| 50 | 50 | 0.1 | 3.68 ( 0.29 ) | 0.06 ( 0.03 ) | 0.88 ( 0.05 ) | 0.56 | 9.62 | 0.33 |\n", + "| 100 | 50 | 0.1 | 1.51 ( 0.35 ) | 0 ( 0 ) | 0.87 ( 0.05 ) | 0.77 | 7.51 | 0.12 |\n", + "| 500 | 50 | 0.1 | 0.73 ( 0.19 ) | 0 ( 0 ) | 0.99 ( 0.05 ) | 0.88 | 6.73 | 0.07 |\n", + "| 1000 | 50 | 0.1 | 0.55 ( 0.17 ) | 0 ( 0 ) | 1.09 ( 0.04 ) | 0.9 | 6.55 | 0.05 |\n", + "| 50 | 100 | 0.1 | 4.24 ( 0.3 ) | 0.23 ( 0.06 ) | 1.12 ( 0.1 ) | 0.53 | 10.01 | 0.37 |\n", + "| 100 | 100 | 0.1 | 1.51 ( 0.34 ) | 0 ( 0 ) | 0.85 ( 0.04 ) | 0.79 | 7.51 | 0.13 |\n", + "\n" + ], + "text/plain": [ + " n p rou FP FN MSE Stab num_select FDR \n", + "1 50 50 0.1 3.68 ( 0.29 ) 0.06 ( 0.03 ) 0.88 ( 0.05 ) 0.56 9.62 0.33\n", + "2 100 50 0.1 1.51 ( 0.35 ) 0 ( 0 ) 0.87 ( 0.05 ) 0.77 7.51 0.12\n", + "3 500 50 0.1 0.73 ( 0.19 ) 0 ( 0 ) 0.99 ( 0.05 ) 0.88 6.73 0.07\n", + "4 1000 50 0.1 0.55 ( 0.17 ) 0 ( 0 ) 1.09 ( 0.04 ) 0.9 6.55 0.05\n", + "5 50 100 0.1 4.24 ( 0.3 ) 0.23 ( 0.06 ) 1.12 ( 0.1 ) 0.53 10.01 0.37\n", + "6 100 100 0.1 1.51 ( 0.34 ) 0 ( 0 ) 0.85 ( 0.04 ) 0.79 7.51 0.13" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "head(table_toe)" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "extract_numeric() is deprecated: please use readr::parse_number() instead\n", + "extract_numeric() is deprecated: please use readr::parse_number() instead\n" + ] + } + ], + "source": [ + "# export result\n", + "result.table_toe <- apply(table_toe,2,as.character)\n", + "rownames(result.table_toe) = rownames(table_toe)\n", + "result.table_toe = as.data.frame(result.table_toe)\n", + "\n", + "# extract numbers only for 'n' & 'p'\n", + "result.table_toe$n = tidyr::extract_numeric(result.table_toe$n)\n", + "result.table_toe$p = tidyr::extract_numeric(result.table_toe$p)\n", + "result.table_toe$ratio = result.table_toe$p / result.table_toe$n\n", + "\n", + "result.table_toe = result.table_toe[c('n', 'p', 'rou', 'ratio', 'Stab', 'MSE', 'FP', 'FN', 'num_select', 'FDR')]\n", + "colnames(result.table_toe)[1:4] = c('N', 'P', 'Corr', 'Ratio')" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Warning message in eval(expr, envir, enclos):\n", + "“NAs introduced by coercion”" + ] + } + ], + "source": [ + "# convert interested measurements to be numeric\n", + "result.table_toe$Stab = as.numeric(as.character(result.table_toe$Stab))\n", + "result.table_toe$MSE_mean = as.numeric(substr(result.table_toe$MSE, start=1, stop=4))\n", + "result.table_toe$FP_mean = as.numeric(substr(result.table_toe$FP, start=1, stop=4))\n", + "result.table_toe$FN_mean = as.numeric(substr(result.table_toe$FN, start=1, stop=4))\n", + "result.table_toe$FN_mean[is.na(result.table_toe$FN_mean)] = 0\n", + "result.table_toe$num_select = as.numeric(as.character(result.table_toe$num_select))" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", + "\n", + "\n", + "
    NPCorrRatioStabMSEFPFNnum_selectFDRMSE_meanFP_meanFN_mean
    \n" + ], + "text/latex": [ + "\\begin{tabular}{r|lllllllllllll}\n", + " N & P & Corr & Ratio & Stab & MSE & FP & FN & num\\_select & FDR & MSE\\_mean & FP\\_mean & FN\\_mean\\\\\n", + "\\hline\n", + "\\end{tabular}\n" + ], + "text/markdown": [ + "\n", + "| N | P | Corr | Ratio | Stab | MSE | FP | FN | num_select | FDR | MSE_mean | FP_mean | FN_mean |\n", + "|---|---|---|---|---|---|---|---|---|---|---|---|---|\n", + "\n" + ], + "text/plain": [ + " N P Corr Ratio Stab MSE FP FN num_select FDR MSE_mean FP_mean FN_mean" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# check whether missing values exists\n", + "result.table_toe[rowSums(is.na(result.table_toe)) > 0,]" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", + "\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\n", + "
    NPCorrRatioStabMSEFPFNnum_selectFDRMSE_meanFP_meanFN_mean
    50 50 0.1 1.00 0.56 0.88 ( 0.05 )3.68 ( 0.29 )0.06 ( 0.03 ) 9.62 0.33 0.88 3.68 0.06
    100 50 0.1 0.50 0.77 0.87 ( 0.05 )1.51 ( 0.35 )0 ( 0 ) 7.51 0.12 0.87 1.51 0.00
    500 50 0.1 0.10 0.88 0.99 ( 0.05 )0.73 ( 0.19 )0 ( 0 ) 6.73 0.07 0.99 0.73 0.00
    1000 50 0.1 0.05 0.90 1.09 ( 0.04 )0.55 ( 0.17 )0 ( 0 ) 6.55 0.05 1.09 0.55 0.00
    50 100 0.1 2.00 0.53 1.12 ( 0.1 ) 4.24 ( 0.3 ) 0.23 ( 0.06 )10.01 0.37 1.12 4.24 0.23
    100 100 0.1 1.00 0.79 0.85 ( 0.04 )1.51 ( 0.34 )0 ( 0 ) 7.51 0.13 0.85 1.51 0.00
    \n" + ], + "text/latex": [ + "\\begin{tabular}{r|lllllllllllll}\n", + " N & P & Corr & Ratio & Stab & MSE & FP & FN & num\\_select & FDR & MSE\\_mean & FP\\_mean & FN\\_mean\\\\\n", + "\\hline\n", + "\t 50 & 50 & 0.1 & 1.00 & 0.56 & 0.88 ( 0.05 ) & 3.68 ( 0.29 ) & 0.06 ( 0.03 ) & 9.62 & 0.33 & 0.88 & 3.68 & 0.06 \\\\\n", + "\t 100 & 50 & 0.1 & 0.50 & 0.77 & 0.87 ( 0.05 ) & 1.51 ( 0.35 ) & 0 ( 0 ) & 7.51 & 0.12 & 0.87 & 1.51 & 0.00 \\\\\n", + "\t 500 & 50 & 0.1 & 0.10 & 0.88 & 0.99 ( 0.05 ) & 0.73 ( 0.19 ) & 0 ( 0 ) & 6.73 & 0.07 & 0.99 & 0.73 & 0.00 \\\\\n", + "\t 1000 & 50 & 0.1 & 0.05 & 0.90 & 1.09 ( 0.04 ) & 0.55 ( 0.17 ) & 0 ( 0 ) & 6.55 & 0.05 & 1.09 & 0.55 & 0.00 \\\\\n", + "\t 50 & 100 & 0.1 & 2.00 & 0.53 & 1.12 ( 0.1 ) & 4.24 ( 0.3 ) & 0.23 ( 0.06 ) & 10.01 & 0.37 & 1.12 & 4.24 & 0.23 \\\\\n", + "\t 100 & 100 & 0.1 & 1.00 & 0.79 & 0.85 ( 0.04 ) & 1.51 ( 0.34 ) & 0 ( 0 ) & 7.51 & 0.13 & 0.85 & 1.51 & 0.00 \\\\\n", + "\\end{tabular}\n" + ], + "text/markdown": [ + "\n", + "| N | P | Corr | Ratio | Stab | MSE | FP | FN | num_select | FDR | MSE_mean | FP_mean | FN_mean |\n", + "|---|---|---|---|---|---|---|---|---|---|---|---|---|\n", + "| 50 | 50 | 0.1 | 1.00 | 0.56 | 0.88 ( 0.05 ) | 3.68 ( 0.29 ) | 0.06 ( 0.03 ) | 9.62 | 0.33 | 0.88 | 3.68 | 0.06 |\n", + "| 100 | 50 | 0.1 | 0.50 | 0.77 | 0.87 ( 0.05 ) | 1.51 ( 0.35 ) | 0 ( 0 ) | 7.51 | 0.12 | 0.87 | 1.51 | 0.00 |\n", + "| 500 | 50 | 0.1 | 0.10 | 0.88 | 0.99 ( 0.05 ) | 0.73 ( 0.19 ) | 0 ( 0 ) | 6.73 | 0.07 | 0.99 | 0.73 | 0.00 |\n", + "| 1000 | 50 | 0.1 | 0.05 | 0.90 | 1.09 ( 0.04 ) | 0.55 ( 0.17 ) | 0 ( 0 ) | 6.55 | 0.05 | 1.09 | 0.55 | 0.00 |\n", + "| 50 | 100 | 0.1 | 2.00 | 0.53 | 1.12 ( 0.1 ) | 4.24 ( 0.3 ) | 0.23 ( 0.06 ) | 10.01 | 0.37 | 1.12 | 4.24 | 0.23 |\n", + "| 100 | 100 | 0.1 | 1.00 | 0.79 | 0.85 ( 0.04 ) | 1.51 ( 0.34 ) | 0 ( 0 ) | 7.51 | 0.13 | 0.85 | 1.51 | 0.00 |\n", + "\n" + ], + "text/plain": [ + " N P Corr Ratio Stab MSE FP FN num_select\n", + "1 50 50 0.1 1.00 0.56 0.88 ( 0.05 ) 3.68 ( 0.29 ) 0.06 ( 0.03 ) 9.62 \n", + "2 100 50 0.1 0.50 0.77 0.87 ( 0.05 ) 1.51 ( 0.35 ) 0 ( 0 ) 7.51 \n", + "3 500 50 0.1 0.10 0.88 0.99 ( 0.05 ) 0.73 ( 0.19 ) 0 ( 0 ) 6.73 \n", + "4 1000 50 0.1 0.05 0.90 1.09 ( 0.04 ) 0.55 ( 0.17 ) 0 ( 0 ) 6.55 \n", + "5 50 100 0.1 2.00 0.53 1.12 ( 0.1 ) 4.24 ( 0.3 ) 0.23 ( 0.06 ) 10.01 \n", + "6 100 100 0.1 1.00 0.79 0.85 ( 0.04 ) 1.51 ( 0.34 ) 0 ( 0 ) 7.51 \n", + " FDR MSE_mean FP_mean FN_mean\n", + "1 0.33 0.88 3.68 0.06 \n", + "2 0.12 0.87 1.51 0.00 \n", + "3 0.07 0.99 0.73 0.00 \n", + "4 0.05 1.09 0.55 0.00 \n", + "5 0.37 1.12 4.24 0.23 \n", + "6 0.13 0.85 1.51 0.00 " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "head(result.table_toe)" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", + "\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\n", + "
    NPCorrRatioStabMSEFPFNnum_selectFDRMSE_meanFP_meanFN_mean
    75 500 500 0.9 1.0 0.41 0.34 ( 0.01 ) 8.17 ( 0.48 ) 0.17 ( 0.04 ) 14.00 0.54 0.34 8.17 0.17
    761000 500 0.9 0.5 0.58 0.32 ( 0 ) 4.24 ( 0.3 ) 0.01 ( 0.01 ) 10.23 0.37 0.32 4.24 0.01
    77 50 1000 0.9 20.0 0.19 1.04 ( 0.06 ) 5.24 ( 0.46 ) 4.23 ( 0.08 ) 7.01 0.6 1.04 5.24 4.23
    78 100 1000 0.9 10.0 0.22 0.67 ( 0.02 ) 9.03 ( 0.73 ) 3.02 ( 0.07 ) 12.01 0.66 0.67 9.03 3.02
    79 500 1000 0.9 2.0 0.34 0.35 ( 0.01 ) 10.52 ( 0.68 )0.32 ( 0.05 ) 16.20 0.59 0.35 10.50 0.32
    801000 1000 0.9 1.0 0.57 0.33 ( 0 ) 4.48 ( 0.3 ) 0.01 ( 0.01 ) 10.47 0.39 0.33 4.48 0.01
    \n" + ], + "text/latex": [ + "\\begin{tabular}{r|lllllllllllll}\n", + " & N & P & Corr & Ratio & Stab & MSE & FP & FN & num\\_select & FDR & MSE\\_mean & FP\\_mean & FN\\_mean\\\\\n", + "\\hline\n", + "\t75 & 500 & 500 & 0.9 & 1.0 & 0.41 & 0.34 ( 0.01 ) & 8.17 ( 0.48 ) & 0.17 ( 0.04 ) & 14.00 & 0.54 & 0.34 & 8.17 & 0.17 \\\\\n", + "\t76 & 1000 & 500 & 0.9 & 0.5 & 0.58 & 0.32 ( 0 ) & 4.24 ( 0.3 ) & 0.01 ( 0.01 ) & 10.23 & 0.37 & 0.32 & 4.24 & 0.01 \\\\\n", + "\t77 & 50 & 1000 & 0.9 & 20.0 & 0.19 & 1.04 ( 0.06 ) & 5.24 ( 0.46 ) & 4.23 ( 0.08 ) & 7.01 & 0.6 & 1.04 & 5.24 & 4.23 \\\\\n", + "\t78 & 100 & 1000 & 0.9 & 10.0 & 0.22 & 0.67 ( 0.02 ) & 9.03 ( 0.73 ) & 3.02 ( 0.07 ) & 12.01 & 0.66 & 0.67 & 9.03 & 3.02 \\\\\n", + "\t79 & 500 & 1000 & 0.9 & 2.0 & 0.34 & 0.35 ( 0.01 ) & 10.52 ( 0.68 ) & 0.32 ( 0.05 ) & 16.20 & 0.59 & 0.35 & 10.50 & 0.32 \\\\\n", + "\t80 & 1000 & 1000 & 0.9 & 1.0 & 0.57 & 0.33 ( 0 ) & 4.48 ( 0.3 ) & 0.01 ( 0.01 ) & 10.47 & 0.39 & 0.33 & 4.48 & 0.01 \\\\\n", + "\\end{tabular}\n" + ], + "text/markdown": [ + "\n", + "| | N | P | Corr | Ratio | Stab | MSE | FP | FN | num_select | FDR | MSE_mean | FP_mean | FN_mean |\n", + "|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n", + "| 75 | 500 | 500 | 0.9 | 1.0 | 0.41 | 0.34 ( 0.01 ) | 8.17 ( 0.48 ) | 0.17 ( 0.04 ) | 14.00 | 0.54 | 0.34 | 8.17 | 0.17 |\n", + "| 76 | 1000 | 500 | 0.9 | 0.5 | 0.58 | 0.32 ( 0 ) | 4.24 ( 0.3 ) | 0.01 ( 0.01 ) | 10.23 | 0.37 | 0.32 | 4.24 | 0.01 |\n", + "| 77 | 50 | 1000 | 0.9 | 20.0 | 0.19 | 1.04 ( 0.06 ) | 5.24 ( 0.46 ) | 4.23 ( 0.08 ) | 7.01 | 0.6 | 1.04 | 5.24 | 4.23 |\n", + "| 78 | 100 | 1000 | 0.9 | 10.0 | 0.22 | 0.67 ( 0.02 ) | 9.03 ( 0.73 ) | 3.02 ( 0.07 ) | 12.01 | 0.66 | 0.67 | 9.03 | 3.02 |\n", + "| 79 | 500 | 1000 | 0.9 | 2.0 | 0.34 | 0.35 ( 0.01 ) | 10.52 ( 0.68 ) | 0.32 ( 0.05 ) | 16.20 | 0.59 | 0.35 | 10.50 | 0.32 |\n", + "| 80 | 1000 | 1000 | 0.9 | 1.0 | 0.57 | 0.33 ( 0 ) | 4.48 ( 0.3 ) | 0.01 ( 0.01 ) | 10.47 | 0.39 | 0.33 | 4.48 | 0.01 |\n", + "\n" + ], + "text/plain": [ + " N P Corr Ratio Stab MSE FP FN \n", + "75 500 500 0.9 1.0 0.41 0.34 ( 0.01 ) 8.17 ( 0.48 ) 0.17 ( 0.04 )\n", + "76 1000 500 0.9 0.5 0.58 0.32 ( 0 ) 4.24 ( 0.3 ) 0.01 ( 0.01 )\n", + "77 50 1000 0.9 20.0 0.19 1.04 ( 0.06 ) 5.24 ( 0.46 ) 4.23 ( 0.08 )\n", + "78 100 1000 0.9 10.0 0.22 0.67 ( 0.02 ) 9.03 ( 0.73 ) 3.02 ( 0.07 )\n", + "79 500 1000 0.9 2.0 0.34 0.35 ( 0.01 ) 10.52 ( 0.68 ) 0.32 ( 0.05 )\n", + "80 1000 1000 0.9 1.0 0.57 0.33 ( 0 ) 4.48 ( 0.3 ) 0.01 ( 0.01 )\n", + " num_select FDR MSE_mean FP_mean FN_mean\n", + "75 14.00 0.54 0.34 8.17 0.17 \n", + "76 10.23 0.37 0.32 4.24 0.01 \n", + "77 7.01 0.6 1.04 5.24 4.23 \n", + "78 12.01 0.66 0.67 9.03 3.02 \n", + "79 16.20 0.59 0.35 10.50 0.32 \n", + "80 10.47 0.39 0.33 4.48 0.01 " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "tail(result.table_toe)" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [], + "source": [ + "## export\n", + "write.table(result.table_toe, '../results_summary/sim_toe_compLasso.txt', sep='\\t', row.names=F)" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Registered S3 methods overwritten by 'ggplot2':\n", + " method from \n", + " [.quosures rlang\n", + " c.quosures rlang\n", + " print.quosures rlang\n", + "Loading required package: magrittr\n", + "Warning message:\n", + "“Using size for a discrete variable is not advised.”Warning message:\n", + "“Using alpha for a discrete variable is not advised.”Warning message:\n", + "“Using size for a discrete variable is not advised.”Warning message:\n", + "“Using alpha for a discrete variable is not advised.”Warning message:\n", + "“Using size for a discrete variable is not advised.”Warning message:\n", + "“Using alpha for a discrete variable is not advised.”Warning message:\n", + "“Using size for a discrete variable is not advised.”Warning message:\n", + "“Using alpha for a discrete variable is not advised.”file saved to ../figures_sim/figure_toe_compLasso.pdf\n" + ] + } + ], + "source": [ + "library(ggplot2)\n", + "library(ggpubr)\n", + "result.table_toe$N = as.factor(result.table_toe$N)\n", + "fig_toe_stab = ggplot(result.table_toe, aes(x=P, y=Stab, color=N)) + \n", + " geom_point(aes(size = Corr, alpha=Corr)) + theme(legend.position = \"none\") +\n", + " scale_size_discrete(range = c(1,4)) + scale_alpha_discrete(range = c(1, 0.4)) + ylab('Stability')\n", + "\n", + "fig_toe_mse = ggplot(result.table_toe, aes(x=P, y=MSE_mean, color=N)) + \n", + " geom_point(aes(size = Corr, alpha=Corr)) + theme(legend.position=\"none\") +\n", + " scale_size_discrete(range = c(1,4)) + scale_alpha_discrete(range = c(1, 0.4)) + ylab('MSE')\n", + "\n", + "fig_toe_fp = ggplot(result.table_toe, aes(x=P, y=FP_mean, color=N)) + \n", + " geom_point(aes(size = Corr, alpha=Corr)) + theme(legend.position = \"none\") +\n", + " scale_size_discrete(range = c(1,4)) + scale_alpha_discrete(range = c(1, 0.4)) + ylab('False Positives')\n", + "\n", + "fig_toe_fn = ggplot(result.table_toe, aes(x=P, y=FN_mean, color=N)) + \n", + " geom_point(aes(size = Corr, alpha=Corr)) + theme(legend.position = \"none\") +\n", + " scale_size_discrete(range = c(1,4)) + scale_alpha_discrete(range = c(1, 0.4)) + ylab('False Negatives')\n", + "fig = ggarrange(fig_toe_stab, fig_toe_mse, fig_toe_fp, fig_toe_fn, ncol=2, nrow=2, \n", + " common.legend = TRUE, legend=\"right\") \n", + "fig = annotate_figure(fig, top = text_grob(\"Toeplitz_compLasso\"))\n", + "ggexport(fig, filename = \"../figures_sim/figure_toe_compLasso.pdf\", height=6, width=6)" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", + "\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\n", + "
    NPCorrRatioStabMSEFPFNMSE_meanFP_meanFN_mean
    150 50 0.1 1.0 0.56 0.88 ( 0.05 )3.68 ( 0.29 )0.06 ( 0.03 )0.88 3.68 0.06
    1750 50 0.3 1.0 0.50 0.76 ( 0.05 )4.6 ( 0.27 ) 0.07 ( 0.03 )0.76 4.60 0.07
    3350 50 0.5 1.0 0.44 0.72 ( 0.05 )5.25 ( 0.31 )0.24 ( 0.06 )0.72 5.25 0.24
    4950 50 0.7 1.0 0.36 0.76 ( 0.05 )5.83 ( 0.31 )0.81 ( 0.1 ) 0.76 5.83 0.81
    6550 50 0.9 1.0 0.32 0.54 ( 0.03 )4.91 ( 0.32 )1.96 ( 0.11 )0.54 4.91 1.96
    550 100 0.1 2.0 0.53 1.12 ( 0.1 ) 4.24 ( 0.3 ) 0.23 ( 0.06 )1.12 4.24 0.23
    2150 100 0.3 2.0 0.43 1.12 ( 0.07 )5.19 ( 0.3 ) 0.63 ( 0.09 )1.12 5.19 0.63
    3750 100 0.5 2.0 0.37 1.15 ( 0.07 )5.35 ( 0.36 )1.25 ( 0.11 )1.15 5.35 1.25
    5350 100 0.7 2.0 0.31 0.99 ( 0.06 )5.89 ( 0.36 )1.88 ( 0.11 )0.99 5.89 1.88
    6950 100 0.9 2.0 0.31 0.66 ( 0.04 )4.9 ( 0.33 ) 2.83 ( 0.09 )0.66 4.90 2.83
    950 500 0.1 10.0 0.36 2.54 ( 0.18 )5.13 ( 0.35 )1.78 ( 0.12 )2.54 5.13 1.78
    2550 500 0.3 10.0 0.29 2.5 ( 0.14 ) 5.62 ( 0.34 )2.39 ( 0.12 )2.50 5.62 2.39
    4150 500 0.5 10.0 0.29 2.28 ( 0.14 )5.5 ( 0.38 ) 2.81 ( 0.1 ) 2.28 5.50 2.81
    5750 500 0.7 10.0 0.27 1.81 ( 0.09 )5.27 ( 0.39 )3.43 ( 0.09 )1.81 5.27 3.43
    7350 500 0.9 10.0 0.23 0.89 ( 0.05 )5.88 ( 0.44 )3.74 ( 0.07 )0.89 5.88 3.74
    1350 1000 0.1 20.0 0.29 3.37 ( 0.2 ) 4.59 ( 0.36 )2.63 ( 0.15 )3.37 4.59 2.63
    2950 1000 0.3 20.0 0.28 2.99 ( 0.17 )4.75 ( 0.36 )3 ( 0.13 ) 2.99 4.75 0.00
    4550 1000 0.5 20.0 0.23 2.44 ( 0.13 )5.82 ( 0.36 )3.37 ( 0.1 ) 2.44 5.82 3.37
    6150 1000 0.7 20.0 0.21 1.81 ( 0.08 )6.05 ( 0.39 )3.58 ( 0.1 ) 1.81 6.05 3.58
    7750 1000 0.9 20.0 0.19 1.04 ( 0.06 )5.24 ( 0.46 )4.23 ( 0.08 )1.04 5.24 4.23
    2100 50 0.1 0.5 0.77 0.87 ( 0.05 )1.51 ( 0.35 )0 ( 0 ) 0.87 1.51 0.00
    18100 50 0.3 0.5 0.75 0.7 ( 0.04 ) 1.65 ( 0.28 )0 ( 0 ) 0.70 1.65 0.00
    34100 50 0.5 0.5 0.62 0.55 ( 0.02 )2.98 ( 0.3 ) 0 ( 0 ) 0.55 2.98 0.00
    50100 50 0.7 0.5 0.48 0.43 ( 0.02 )4.89 ( 0.38 )0.08 ( 0.03 )0.43 4.89 0.08
    66100 50 0.9 0.5 0.35 0.41 ( 0.02 )5.64 ( 0.41 )0.96 ( 0.11 )0.41 5.64 0.96
    6100 100 0.1 1.0 0.79 0.85 ( 0.04 )1.51 ( 0.34 )0 ( 0 ) 0.85 1.51 0.00
    22100 100 0.3 1.0 0.70 0.73 ( 0.04 )2.38 ( 0.32 )0 ( 0 ) 0.73 2.38 0.00
    38100 100 0.5 1.0 0.59 0.68 ( 0.03 )3.57 ( 0.36 )0.06 ( 0.02 )0.68 3.57 0.06
    54100 100 0.7 1.0 0.41 0.48 ( 0.02 )6.91 ( 0.55 )0.22 ( 0.05 )0.48 6.91 0.22
    70100 100 0.9 1.0 0.32 0.47 ( 0.02 )6.56 ( 0.48 )1.45 ( 0.11 )0.47 6.56 1.45
    ....................................
    11500 500 0.1 1.00 0.96 1.1 ( 0.04 ) 0.25 ( 0.08 ) 0 ( 0 ) 1.10 0.25 0.00
    27500 500 0.3 1.00 0.96 0.93 ( 0.03 ) 0.25 ( 0.08 ) 0 ( 0 ) 0.93 0.25 0.00
    43500 500 0.5 1.00 0.93 0.67 ( 0.02 ) 0.45 ( 0.12 ) 0 ( 0 ) 0.67 0.45 0.00
    59500 500 0.7 1.00 0.74 0.46 ( 0.01 ) 2.11 ( 0.26 ) 0 ( 0 ) 0.46 2.11 0.00
    75500 500 0.9 1.00 0.41 0.34 ( 0.01 ) 8.17 ( 0.48 ) 0.17 ( 0.04 ) 0.34 8.17 0.17
    15500 1000 0.1 2.00 0.96 1.1 ( 0.03 ) 0.24 ( 0.1 ) 0 ( 0 ) 1.10 0.24 0.00
    31500 1000 0.3 2.00 0.96 0.89 ( 0.03 ) 0.28 ( 0.09 ) 0 ( 0 ) 0.89 0.28 0.00
    47500 1000 0.5 2.00 0.96 0.7 ( 0.02 ) 0.22 ( 0.06 ) 0 ( 0 ) 0.70 0.22 0.00
    63500 1000 0.7 2.00 0.69 0.47 ( 0.01 ) 2.72 ( 0.33 ) 0 ( 0 ) 0.47 2.72 0.00
    79500 1000 0.9 2.00 0.34 0.35 ( 0.01 ) 10.52 ( 0.68 )0.32 ( 0.05 ) 0.35 10.50 0.32
    41000 50 0.1 0.05 0.90 1.09 ( 0.04 ) 0.55 ( 0.17 ) 0 ( 0 ) 1.09 0.55 0.00
    201000 50 0.3 0.05 0.93 0.92 ( 0.03 ) 0.38 ( 0.1 ) 0 ( 0 ) 0.92 0.38 0.00
    361000 50 0.5 0.05 0.93 0.67 ( 0.02 ) 0.39 ( 0.12 ) 0 ( 0 ) 0.67 0.39 0.00
    521000 50 0.7 0.05 0.88 0.45 ( 0.01 ) 0.74 ( 0.13 ) 0 ( 0 ) 0.45 0.74 0.00
    681000 50 0.9 0.05 0.71 0.3 ( 0 ) 2.18 ( 0.19 ) 0 ( 0 ) 0.30 2.18 0.00
    81000 100 0.1 0.10 0.93 1.03 ( 0.04 ) 0.42 ( 0.12 ) 0 ( 0 ) 1.03 0.42 0.00
    241000 100 0.3 0.10 0.93 0.87 ( 0.04 ) 0.41 ( 0.08 ) 0 ( 0 ) 0.87 0.41 0.00
    401000 100 0.5 0.10 0.95 0.71 ( 0.02 ) 0.27 ( 0.09 ) 0 ( 0 ) 0.71 0.27 0.00
    561000 100 0.7 0.10 0.92 0.48 ( 0.01 ) 0.5 ( 0.14 ) 0 ( 0 ) 0.48 0.50 0.00
    721000 100 0.9 0.10 0.67 0.3 ( 0 ) 2.85 ( 0.24 ) 0 ( 0 ) 0.30 2.85 0.00
    121000 500 0.1 0.50 0.96 1.18 ( 0.04 ) 0.24 ( 0.08 ) 0 ( 0 ) 1.18 0.24 0.00
    281000 500 0.3 0.50 0.94 0.9 ( 0.03 ) 0.38 ( 0.1 ) 0 ( 0 ) 0.90 0.38 0.00
    441000 500 0.5 0.50 0.94 0.69 ( 0.02 ) 0.35 ( 0.1 ) 0 ( 0 ) 0.69 0.35 0.00
    601000 500 0.7 0.50 0.87 0.46 ( 0.01 ) 0.93 ( 0.16 ) 0 ( 0 ) 0.46 0.93 0.00
    761000 500 0.9 0.50 0.58 0.32 ( 0 ) 4.24 ( 0.3 ) 0.01 ( 0.01 ) 0.32 4.24 0.01
    161000 1000 0.1 1.00 0.97 1.16 ( 0.03 ) 0.16 ( 0.06 ) 0 ( 0 ) 1.16 0.16 0.00
    321000 1000 0.3 1.00 0.95 0.93 ( 0.03 ) 0.29 ( 0.09 ) 0 ( 0 ) 0.93 0.29 0.00
    481000 1000 0.5 1.00 0.95 0.71 ( 0.02 ) 0.33 ( 0.13 ) 0 ( 0 ) 0.71 0.33 0.00
    641000 1000 0.7 1.00 0.91 0.5 ( 0.01 ) 0.57 ( 0.16 ) 0 ( 0 ) 0.50 0.57 0.00
    801000 1000 0.9 1.00 0.57 0.33 ( 0 ) 4.48 ( 0.3 ) 0.01 ( 0.01 ) 0.33 4.48 0.01
    \n" + ], + "text/latex": [ + "\\begin{tabular}{r|lllllllllll}\n", + " & N & P & Corr & Ratio & Stab & MSE & FP & FN & MSE\\_mean & FP\\_mean & FN\\_mean\\\\\n", + "\\hline\n", + "\t1 & 50 & 50 & 0.1 & 1.0 & 0.56 & 0.88 ( 0.05 ) & 3.68 ( 0.29 ) & 0.06 ( 0.03 ) & 0.88 & 3.68 & 0.06 \\\\\n", + "\t17 & 50 & 50 & 0.3 & 1.0 & 0.50 & 0.76 ( 0.05 ) & 4.6 ( 0.27 ) & 0.07 ( 0.03 ) & 0.76 & 4.60 & 0.07 \\\\\n", + "\t33 & 50 & 50 & 0.5 & 1.0 & 0.44 & 0.72 ( 0.05 ) & 5.25 ( 0.31 ) & 0.24 ( 0.06 ) & 0.72 & 5.25 & 0.24 \\\\\n", + "\t49 & 50 & 50 & 0.7 & 1.0 & 0.36 & 0.76 ( 0.05 ) & 5.83 ( 0.31 ) & 0.81 ( 0.1 ) & 0.76 & 5.83 & 0.81 \\\\\n", + "\t65 & 50 & 50 & 0.9 & 1.0 & 0.32 & 0.54 ( 0.03 ) & 4.91 ( 0.32 ) & 1.96 ( 0.11 ) & 0.54 & 4.91 & 1.96 \\\\\n", + "\t5 & 50 & 100 & 0.1 & 2.0 & 0.53 & 1.12 ( 0.1 ) & 4.24 ( 0.3 ) & 0.23 ( 0.06 ) & 1.12 & 4.24 & 0.23 \\\\\n", + "\t21 & 50 & 100 & 0.3 & 2.0 & 0.43 & 1.12 ( 0.07 ) & 5.19 ( 0.3 ) & 0.63 ( 0.09 ) & 1.12 & 5.19 & 0.63 \\\\\n", + "\t37 & 50 & 100 & 0.5 & 2.0 & 0.37 & 1.15 ( 0.07 ) & 5.35 ( 0.36 ) & 1.25 ( 0.11 ) & 1.15 & 5.35 & 1.25 \\\\\n", + "\t53 & 50 & 100 & 0.7 & 2.0 & 0.31 & 0.99 ( 0.06 ) & 5.89 ( 0.36 ) & 1.88 ( 0.11 ) & 0.99 & 5.89 & 1.88 \\\\\n", + "\t69 & 50 & 100 & 0.9 & 2.0 & 0.31 & 0.66 ( 0.04 ) & 4.9 ( 0.33 ) & 2.83 ( 0.09 ) & 0.66 & 4.90 & 2.83 \\\\\n", + "\t9 & 50 & 500 & 0.1 & 10.0 & 0.36 & 2.54 ( 0.18 ) & 5.13 ( 0.35 ) & 1.78 ( 0.12 ) & 2.54 & 5.13 & 1.78 \\\\\n", + "\t25 & 50 & 500 & 0.3 & 10.0 & 0.29 & 2.5 ( 0.14 ) & 5.62 ( 0.34 ) & 2.39 ( 0.12 ) & 2.50 & 5.62 & 2.39 \\\\\n", + "\t41 & 50 & 500 & 0.5 & 10.0 & 0.29 & 2.28 ( 0.14 ) & 5.5 ( 0.38 ) & 2.81 ( 0.1 ) & 2.28 & 5.50 & 2.81 \\\\\n", + "\t57 & 50 & 500 & 0.7 & 10.0 & 0.27 & 1.81 ( 0.09 ) & 5.27 ( 0.39 ) & 3.43 ( 0.09 ) & 1.81 & 5.27 & 3.43 \\\\\n", + "\t73 & 50 & 500 & 0.9 & 10.0 & 0.23 & 0.89 ( 0.05 ) & 5.88 ( 0.44 ) & 3.74 ( 0.07 ) & 0.89 & 5.88 & 3.74 \\\\\n", + "\t13 & 50 & 1000 & 0.1 & 20.0 & 0.29 & 3.37 ( 0.2 ) & 4.59 ( 0.36 ) & 2.63 ( 0.15 ) & 3.37 & 4.59 & 2.63 \\\\\n", + "\t29 & 50 & 1000 & 0.3 & 20.0 & 0.28 & 2.99 ( 0.17 ) & 4.75 ( 0.36 ) & 3 ( 0.13 ) & 2.99 & 4.75 & 0.00 \\\\\n", + "\t45 & 50 & 1000 & 0.5 & 20.0 & 0.23 & 2.44 ( 0.13 ) & 5.82 ( 0.36 ) & 3.37 ( 0.1 ) & 2.44 & 5.82 & 3.37 \\\\\n", + "\t61 & 50 & 1000 & 0.7 & 20.0 & 0.21 & 1.81 ( 0.08 ) & 6.05 ( 0.39 ) & 3.58 ( 0.1 ) & 1.81 & 6.05 & 3.58 \\\\\n", + "\t77 & 50 & 1000 & 0.9 & 20.0 & 0.19 & 1.04 ( 0.06 ) & 5.24 ( 0.46 ) & 4.23 ( 0.08 ) & 1.04 & 5.24 & 4.23 \\\\\n", + "\t2 & 100 & 50 & 0.1 & 0.5 & 0.77 & 0.87 ( 0.05 ) & 1.51 ( 0.35 ) & 0 ( 0 ) & 0.87 & 1.51 & 0.00 \\\\\n", + "\t18 & 100 & 50 & 0.3 & 0.5 & 0.75 & 0.7 ( 0.04 ) & 1.65 ( 0.28 ) & 0 ( 0 ) & 0.70 & 1.65 & 0.00 \\\\\n", + "\t34 & 100 & 50 & 0.5 & 0.5 & 0.62 & 0.55 ( 0.02 ) & 2.98 ( 0.3 ) & 0 ( 0 ) & 0.55 & 2.98 & 0.00 \\\\\n", + "\t50 & 100 & 50 & 0.7 & 0.5 & 0.48 & 0.43 ( 0.02 ) & 4.89 ( 0.38 ) & 0.08 ( 0.03 ) & 0.43 & 4.89 & 0.08 \\\\\n", + "\t66 & 100 & 50 & 0.9 & 0.5 & 0.35 & 0.41 ( 0.02 ) & 5.64 ( 0.41 ) & 0.96 ( 0.11 ) & 0.41 & 5.64 & 0.96 \\\\\n", + "\t6 & 100 & 100 & 0.1 & 1.0 & 0.79 & 0.85 ( 0.04 ) & 1.51 ( 0.34 ) & 0 ( 0 ) & 0.85 & 1.51 & 0.00 \\\\\n", + "\t22 & 100 & 100 & 0.3 & 1.0 & 0.70 & 0.73 ( 0.04 ) & 2.38 ( 0.32 ) & 0 ( 0 ) & 0.73 & 2.38 & 0.00 \\\\\n", + "\t38 & 100 & 100 & 0.5 & 1.0 & 0.59 & 0.68 ( 0.03 ) & 3.57 ( 0.36 ) & 0.06 ( 0.02 ) & 0.68 & 3.57 & 0.06 \\\\\n", + "\t54 & 100 & 100 & 0.7 & 1.0 & 0.41 & 0.48 ( 0.02 ) & 6.91 ( 0.55 ) & 0.22 ( 0.05 ) & 0.48 & 6.91 & 0.22 \\\\\n", + "\t70 & 100 & 100 & 0.9 & 1.0 & 0.32 & 0.47 ( 0.02 ) & 6.56 ( 0.48 ) & 1.45 ( 0.11 ) & 0.47 & 6.56 & 1.45 \\\\\n", + "\t... & ... & ... & ... & ... & ... & ... & ... & ... & ... & ... & ...\\\\\n", + "\t11 & 500 & 500 & 0.1 & 1.00 & 0.96 & 1.1 ( 0.04 ) & 0.25 ( 0.08 ) & 0 ( 0 ) & 1.10 & 0.25 & 0.00 \\\\\n", + "\t27 & 500 & 500 & 0.3 & 1.00 & 0.96 & 0.93 ( 0.03 ) & 0.25 ( 0.08 ) & 0 ( 0 ) & 0.93 & 0.25 & 0.00 \\\\\n", + "\t43 & 500 & 500 & 0.5 & 1.00 & 0.93 & 0.67 ( 0.02 ) & 0.45 ( 0.12 ) & 0 ( 0 ) & 0.67 & 0.45 & 0.00 \\\\\n", + "\t59 & 500 & 500 & 0.7 & 1.00 & 0.74 & 0.46 ( 0.01 ) & 2.11 ( 0.26 ) & 0 ( 0 ) & 0.46 & 2.11 & 0.00 \\\\\n", + "\t75 & 500 & 500 & 0.9 & 1.00 & 0.41 & 0.34 ( 0.01 ) & 8.17 ( 0.48 ) & 0.17 ( 0.04 ) & 0.34 & 8.17 & 0.17 \\\\\n", + "\t15 & 500 & 1000 & 0.1 & 2.00 & 0.96 & 1.1 ( 0.03 ) & 0.24 ( 0.1 ) & 0 ( 0 ) & 1.10 & 0.24 & 0.00 \\\\\n", + "\t31 & 500 & 1000 & 0.3 & 2.00 & 0.96 & 0.89 ( 0.03 ) & 0.28 ( 0.09 ) & 0 ( 0 ) & 0.89 & 0.28 & 0.00 \\\\\n", + "\t47 & 500 & 1000 & 0.5 & 2.00 & 0.96 & 0.7 ( 0.02 ) & 0.22 ( 0.06 ) & 0 ( 0 ) & 0.70 & 0.22 & 0.00 \\\\\n", + "\t63 & 500 & 1000 & 0.7 & 2.00 & 0.69 & 0.47 ( 0.01 ) & 2.72 ( 0.33 ) & 0 ( 0 ) & 0.47 & 2.72 & 0.00 \\\\\n", + "\t79 & 500 & 1000 & 0.9 & 2.00 & 0.34 & 0.35 ( 0.01 ) & 10.52 ( 0.68 ) & 0.32 ( 0.05 ) & 0.35 & 10.50 & 0.32 \\\\\n", + "\t4 & 1000 & 50 & 0.1 & 0.05 & 0.90 & 1.09 ( 0.04 ) & 0.55 ( 0.17 ) & 0 ( 0 ) & 1.09 & 0.55 & 0.00 \\\\\n", + "\t20 & 1000 & 50 & 0.3 & 0.05 & 0.93 & 0.92 ( 0.03 ) & 0.38 ( 0.1 ) & 0 ( 0 ) & 0.92 & 0.38 & 0.00 \\\\\n", + "\t36 & 1000 & 50 & 0.5 & 0.05 & 0.93 & 0.67 ( 0.02 ) & 0.39 ( 0.12 ) & 0 ( 0 ) & 0.67 & 0.39 & 0.00 \\\\\n", + "\t52 & 1000 & 50 & 0.7 & 0.05 & 0.88 & 0.45 ( 0.01 ) & 0.74 ( 0.13 ) & 0 ( 0 ) & 0.45 & 0.74 & 0.00 \\\\\n", + "\t68 & 1000 & 50 & 0.9 & 0.05 & 0.71 & 0.3 ( 0 ) & 2.18 ( 0.19 ) & 0 ( 0 ) & 0.30 & 2.18 & 0.00 \\\\\n", + "\t8 & 1000 & 100 & 0.1 & 0.10 & 0.93 & 1.03 ( 0.04 ) & 0.42 ( 0.12 ) & 0 ( 0 ) & 1.03 & 0.42 & 0.00 \\\\\n", + "\t24 & 1000 & 100 & 0.3 & 0.10 & 0.93 & 0.87 ( 0.04 ) & 0.41 ( 0.08 ) & 0 ( 0 ) & 0.87 & 0.41 & 0.00 \\\\\n", + "\t40 & 1000 & 100 & 0.5 & 0.10 & 0.95 & 0.71 ( 0.02 ) & 0.27 ( 0.09 ) & 0 ( 0 ) & 0.71 & 0.27 & 0.00 \\\\\n", + "\t56 & 1000 & 100 & 0.7 & 0.10 & 0.92 & 0.48 ( 0.01 ) & 0.5 ( 0.14 ) & 0 ( 0 ) & 0.48 & 0.50 & 0.00 \\\\\n", + "\t72 & 1000 & 100 & 0.9 & 0.10 & 0.67 & 0.3 ( 0 ) & 2.85 ( 0.24 ) & 0 ( 0 ) & 0.30 & 2.85 & 0.00 \\\\\n", + "\t12 & 1000 & 500 & 0.1 & 0.50 & 0.96 & 1.18 ( 0.04 ) & 0.24 ( 0.08 ) & 0 ( 0 ) & 1.18 & 0.24 & 0.00 \\\\\n", + "\t28 & 1000 & 500 & 0.3 & 0.50 & 0.94 & 0.9 ( 0.03 ) & 0.38 ( 0.1 ) & 0 ( 0 ) & 0.90 & 0.38 & 0.00 \\\\\n", + "\t44 & 1000 & 500 & 0.5 & 0.50 & 0.94 & 0.69 ( 0.02 ) & 0.35 ( 0.1 ) & 0 ( 0 ) & 0.69 & 0.35 & 0.00 \\\\\n", + "\t60 & 1000 & 500 & 0.7 & 0.50 & 0.87 & 0.46 ( 0.01 ) & 0.93 ( 0.16 ) & 0 ( 0 ) & 0.46 & 0.93 & 0.00 \\\\\n", + "\t76 & 1000 & 500 & 0.9 & 0.50 & 0.58 & 0.32 ( 0 ) & 4.24 ( 0.3 ) & 0.01 ( 0.01 ) & 0.32 & 4.24 & 0.01 \\\\\n", + "\t16 & 1000 & 1000 & 0.1 & 1.00 & 0.97 & 1.16 ( 0.03 ) & 0.16 ( 0.06 ) & 0 ( 0 ) & 1.16 & 0.16 & 0.00 \\\\\n", + "\t32 & 1000 & 1000 & 0.3 & 1.00 & 0.95 & 0.93 ( 0.03 ) & 0.29 ( 0.09 ) & 0 ( 0 ) & 0.93 & 0.29 & 0.00 \\\\\n", + "\t48 & 1000 & 1000 & 0.5 & 1.00 & 0.95 & 0.71 ( 0.02 ) & 0.33 ( 0.13 ) & 0 ( 0 ) & 0.71 & 0.33 & 0.00 \\\\\n", + "\t64 & 1000 & 1000 & 0.7 & 1.00 & 0.91 & 0.5 ( 0.01 ) & 0.57 ( 0.16 ) & 0 ( 0 ) & 0.50 & 0.57 & 0.00 \\\\\n", + "\t80 & 1000 & 1000 & 0.9 & 1.00 & 0.57 & 0.33 ( 0 ) & 4.48 ( 0.3 ) & 0.01 ( 0.01 ) & 0.33 & 4.48 & 0.01 \\\\\n", + "\\end{tabular}\n" + ], + "text/markdown": [ + "\n", + "| | N | P | Corr | Ratio | Stab | MSE | FP | FN | MSE_mean | FP_mean | FN_mean |\n", + "|---|---|---|---|---|---|---|---|---|---|---|---|\n", + "| 1 | 50 | 50 | 0.1 | 1.0 | 0.56 | 0.88 ( 0.05 ) | 3.68 ( 0.29 ) | 0.06 ( 0.03 ) | 0.88 | 3.68 | 0.06 |\n", + "| 17 | 50 | 50 | 0.3 | 1.0 | 0.50 | 0.76 ( 0.05 ) | 4.6 ( 0.27 ) | 0.07 ( 0.03 ) | 0.76 | 4.60 | 0.07 |\n", + "| 33 | 50 | 50 | 0.5 | 1.0 | 0.44 | 0.72 ( 0.05 ) | 5.25 ( 0.31 ) | 0.24 ( 0.06 ) | 0.72 | 5.25 | 0.24 |\n", + "| 49 | 50 | 50 | 0.7 | 1.0 | 0.36 | 0.76 ( 0.05 ) | 5.83 ( 0.31 ) | 0.81 ( 0.1 ) | 0.76 | 5.83 | 0.81 |\n", + "| 65 | 50 | 50 | 0.9 | 1.0 | 0.32 | 0.54 ( 0.03 ) | 4.91 ( 0.32 ) | 1.96 ( 0.11 ) | 0.54 | 4.91 | 1.96 |\n", + "| 5 | 50 | 100 | 0.1 | 2.0 | 0.53 | 1.12 ( 0.1 ) | 4.24 ( 0.3 ) | 0.23 ( 0.06 ) | 1.12 | 4.24 | 0.23 |\n", + "| 21 | 50 | 100 | 0.3 | 2.0 | 0.43 | 1.12 ( 0.07 ) | 5.19 ( 0.3 ) | 0.63 ( 0.09 ) | 1.12 | 5.19 | 0.63 |\n", + "| 37 | 50 | 100 | 0.5 | 2.0 | 0.37 | 1.15 ( 0.07 ) | 5.35 ( 0.36 ) | 1.25 ( 0.11 ) | 1.15 | 5.35 | 1.25 |\n", + "| 53 | 50 | 100 | 0.7 | 2.0 | 0.31 | 0.99 ( 0.06 ) | 5.89 ( 0.36 ) | 1.88 ( 0.11 ) | 0.99 | 5.89 | 1.88 |\n", + "| 69 | 50 | 100 | 0.9 | 2.0 | 0.31 | 0.66 ( 0.04 ) | 4.9 ( 0.33 ) | 2.83 ( 0.09 ) | 0.66 | 4.90 | 2.83 |\n", + "| 9 | 50 | 500 | 0.1 | 10.0 | 0.36 | 2.54 ( 0.18 ) | 5.13 ( 0.35 ) | 1.78 ( 0.12 ) | 2.54 | 5.13 | 1.78 |\n", + "| 25 | 50 | 500 | 0.3 | 10.0 | 0.29 | 2.5 ( 0.14 ) | 5.62 ( 0.34 ) | 2.39 ( 0.12 ) | 2.50 | 5.62 | 2.39 |\n", + "| 41 | 50 | 500 | 0.5 | 10.0 | 0.29 | 2.28 ( 0.14 ) | 5.5 ( 0.38 ) | 2.81 ( 0.1 ) | 2.28 | 5.50 | 2.81 |\n", + "| 57 | 50 | 500 | 0.7 | 10.0 | 0.27 | 1.81 ( 0.09 ) | 5.27 ( 0.39 ) | 3.43 ( 0.09 ) | 1.81 | 5.27 | 3.43 |\n", + "| 73 | 50 | 500 | 0.9 | 10.0 | 0.23 | 0.89 ( 0.05 ) | 5.88 ( 0.44 ) | 3.74 ( 0.07 ) | 0.89 | 5.88 | 3.74 |\n", + "| 13 | 50 | 1000 | 0.1 | 20.0 | 0.29 | 3.37 ( 0.2 ) | 4.59 ( 0.36 ) | 2.63 ( 0.15 ) | 3.37 | 4.59 | 2.63 |\n", + "| 29 | 50 | 1000 | 0.3 | 20.0 | 0.28 | 2.99 ( 0.17 ) | 4.75 ( 0.36 ) | 3 ( 0.13 ) | 2.99 | 4.75 | 0.00 |\n", + "| 45 | 50 | 1000 | 0.5 | 20.0 | 0.23 | 2.44 ( 0.13 ) | 5.82 ( 0.36 ) | 3.37 ( 0.1 ) | 2.44 | 5.82 | 3.37 |\n", + "| 61 | 50 | 1000 | 0.7 | 20.0 | 0.21 | 1.81 ( 0.08 ) | 6.05 ( 0.39 ) | 3.58 ( 0.1 ) | 1.81 | 6.05 | 3.58 |\n", + "| 77 | 50 | 1000 | 0.9 | 20.0 | 0.19 | 1.04 ( 0.06 ) | 5.24 ( 0.46 ) | 4.23 ( 0.08 ) | 1.04 | 5.24 | 4.23 |\n", + "| 2 | 100 | 50 | 0.1 | 0.5 | 0.77 | 0.87 ( 0.05 ) | 1.51 ( 0.35 ) | 0 ( 0 ) | 0.87 | 1.51 | 0.00 |\n", + "| 18 | 100 | 50 | 0.3 | 0.5 | 0.75 | 0.7 ( 0.04 ) | 1.65 ( 0.28 ) | 0 ( 0 ) | 0.70 | 1.65 | 0.00 |\n", + "| 34 | 100 | 50 | 0.5 | 0.5 | 0.62 | 0.55 ( 0.02 ) | 2.98 ( 0.3 ) | 0 ( 0 ) | 0.55 | 2.98 | 0.00 |\n", + "| 50 | 100 | 50 | 0.7 | 0.5 | 0.48 | 0.43 ( 0.02 ) | 4.89 ( 0.38 ) | 0.08 ( 0.03 ) | 0.43 | 4.89 | 0.08 |\n", + "| 66 | 100 | 50 | 0.9 | 0.5 | 0.35 | 0.41 ( 0.02 ) | 5.64 ( 0.41 ) | 0.96 ( 0.11 ) | 0.41 | 5.64 | 0.96 |\n", + "| 6 | 100 | 100 | 0.1 | 1.0 | 0.79 | 0.85 ( 0.04 ) | 1.51 ( 0.34 ) | 0 ( 0 ) | 0.85 | 1.51 | 0.00 |\n", + "| 22 | 100 | 100 | 0.3 | 1.0 | 0.70 | 0.73 ( 0.04 ) | 2.38 ( 0.32 ) | 0 ( 0 ) | 0.73 | 2.38 | 0.00 |\n", + "| 38 | 100 | 100 | 0.5 | 1.0 | 0.59 | 0.68 ( 0.03 ) | 3.57 ( 0.36 ) | 0.06 ( 0.02 ) | 0.68 | 3.57 | 0.06 |\n", + "| 54 | 100 | 100 | 0.7 | 1.0 | 0.41 | 0.48 ( 0.02 ) | 6.91 ( 0.55 ) | 0.22 ( 0.05 ) | 0.48 | 6.91 | 0.22 |\n", + "| 70 | 100 | 100 | 0.9 | 1.0 | 0.32 | 0.47 ( 0.02 ) | 6.56 ( 0.48 ) | 1.45 ( 0.11 ) | 0.47 | 6.56 | 1.45 |\n", + "| ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... |\n", + "| 11 | 500 | 500 | 0.1 | 1.00 | 0.96 | 1.1 ( 0.04 ) | 0.25 ( 0.08 ) | 0 ( 0 ) | 1.10 | 0.25 | 0.00 |\n", + "| 27 | 500 | 500 | 0.3 | 1.00 | 0.96 | 0.93 ( 0.03 ) | 0.25 ( 0.08 ) | 0 ( 0 ) | 0.93 | 0.25 | 0.00 |\n", + "| 43 | 500 | 500 | 0.5 | 1.00 | 0.93 | 0.67 ( 0.02 ) | 0.45 ( 0.12 ) | 0 ( 0 ) | 0.67 | 0.45 | 0.00 |\n", + "| 59 | 500 | 500 | 0.7 | 1.00 | 0.74 | 0.46 ( 0.01 ) | 2.11 ( 0.26 ) | 0 ( 0 ) | 0.46 | 2.11 | 0.00 |\n", + "| 75 | 500 | 500 | 0.9 | 1.00 | 0.41 | 0.34 ( 0.01 ) | 8.17 ( 0.48 ) | 0.17 ( 0.04 ) | 0.34 | 8.17 | 0.17 |\n", + "| 15 | 500 | 1000 | 0.1 | 2.00 | 0.96 | 1.1 ( 0.03 ) | 0.24 ( 0.1 ) | 0 ( 0 ) | 1.10 | 0.24 | 0.00 |\n", + "| 31 | 500 | 1000 | 0.3 | 2.00 | 0.96 | 0.89 ( 0.03 ) | 0.28 ( 0.09 ) | 0 ( 0 ) | 0.89 | 0.28 | 0.00 |\n", + "| 47 | 500 | 1000 | 0.5 | 2.00 | 0.96 | 0.7 ( 0.02 ) | 0.22 ( 0.06 ) | 0 ( 0 ) | 0.70 | 0.22 | 0.00 |\n", + "| 63 | 500 | 1000 | 0.7 | 2.00 | 0.69 | 0.47 ( 0.01 ) | 2.72 ( 0.33 ) | 0 ( 0 ) | 0.47 | 2.72 | 0.00 |\n", + "| 79 | 500 | 1000 | 0.9 | 2.00 | 0.34 | 0.35 ( 0.01 ) | 10.52 ( 0.68 ) | 0.32 ( 0.05 ) | 0.35 | 10.50 | 0.32 |\n", + "| 4 | 1000 | 50 | 0.1 | 0.05 | 0.90 | 1.09 ( 0.04 ) | 0.55 ( 0.17 ) | 0 ( 0 ) | 1.09 | 0.55 | 0.00 |\n", + "| 20 | 1000 | 50 | 0.3 | 0.05 | 0.93 | 0.92 ( 0.03 ) | 0.38 ( 0.1 ) | 0 ( 0 ) | 0.92 | 0.38 | 0.00 |\n", + "| 36 | 1000 | 50 | 0.5 | 0.05 | 0.93 | 0.67 ( 0.02 ) | 0.39 ( 0.12 ) | 0 ( 0 ) | 0.67 | 0.39 | 0.00 |\n", + "| 52 | 1000 | 50 | 0.7 | 0.05 | 0.88 | 0.45 ( 0.01 ) | 0.74 ( 0.13 ) | 0 ( 0 ) | 0.45 | 0.74 | 0.00 |\n", + "| 68 | 1000 | 50 | 0.9 | 0.05 | 0.71 | 0.3 ( 0 ) | 2.18 ( 0.19 ) | 0 ( 0 ) | 0.30 | 2.18 | 0.00 |\n", + "| 8 | 1000 | 100 | 0.1 | 0.10 | 0.93 | 1.03 ( 0.04 ) | 0.42 ( 0.12 ) | 0 ( 0 ) | 1.03 | 0.42 | 0.00 |\n", + "| 24 | 1000 | 100 | 0.3 | 0.10 | 0.93 | 0.87 ( 0.04 ) | 0.41 ( 0.08 ) | 0 ( 0 ) | 0.87 | 0.41 | 0.00 |\n", + "| 40 | 1000 | 100 | 0.5 | 0.10 | 0.95 | 0.71 ( 0.02 ) | 0.27 ( 0.09 ) | 0 ( 0 ) | 0.71 | 0.27 | 0.00 |\n", + "| 56 | 1000 | 100 | 0.7 | 0.10 | 0.92 | 0.48 ( 0.01 ) | 0.5 ( 0.14 ) | 0 ( 0 ) | 0.48 | 0.50 | 0.00 |\n", + "| 72 | 1000 | 100 | 0.9 | 0.10 | 0.67 | 0.3 ( 0 ) | 2.85 ( 0.24 ) | 0 ( 0 ) | 0.30 | 2.85 | 0.00 |\n", + "| 12 | 1000 | 500 | 0.1 | 0.50 | 0.96 | 1.18 ( 0.04 ) | 0.24 ( 0.08 ) | 0 ( 0 ) | 1.18 | 0.24 | 0.00 |\n", + "| 28 | 1000 | 500 | 0.3 | 0.50 | 0.94 | 0.9 ( 0.03 ) | 0.38 ( 0.1 ) | 0 ( 0 ) | 0.90 | 0.38 | 0.00 |\n", + "| 44 | 1000 | 500 | 0.5 | 0.50 | 0.94 | 0.69 ( 0.02 ) | 0.35 ( 0.1 ) | 0 ( 0 ) | 0.69 | 0.35 | 0.00 |\n", + "| 60 | 1000 | 500 | 0.7 | 0.50 | 0.87 | 0.46 ( 0.01 ) | 0.93 ( 0.16 ) | 0 ( 0 ) | 0.46 | 0.93 | 0.00 |\n", + "| 76 | 1000 | 500 | 0.9 | 0.50 | 0.58 | 0.32 ( 0 ) | 4.24 ( 0.3 ) | 0.01 ( 0.01 ) | 0.32 | 4.24 | 0.01 |\n", + "| 16 | 1000 | 1000 | 0.1 | 1.00 | 0.97 | 1.16 ( 0.03 ) | 0.16 ( 0.06 ) | 0 ( 0 ) | 1.16 | 0.16 | 0.00 |\n", + "| 32 | 1000 | 1000 | 0.3 | 1.00 | 0.95 | 0.93 ( 0.03 ) | 0.29 ( 0.09 ) | 0 ( 0 ) | 0.93 | 0.29 | 0.00 |\n", + "| 48 | 1000 | 1000 | 0.5 | 1.00 | 0.95 | 0.71 ( 0.02 ) | 0.33 ( 0.13 ) | 0 ( 0 ) | 0.71 | 0.33 | 0.00 |\n", + "| 64 | 1000 | 1000 | 0.7 | 1.00 | 0.91 | 0.5 ( 0.01 ) | 0.57 ( 0.16 ) | 0 ( 0 ) | 0.50 | 0.57 | 0.00 |\n", + "| 80 | 1000 | 1000 | 0.9 | 1.00 | 0.57 | 0.33 ( 0 ) | 4.48 ( 0.3 ) | 0.01 ( 0.01 ) | 0.33 | 4.48 | 0.01 |\n", + "\n" + ], + "text/plain": [ + " N P Corr Ratio Stab MSE FP FN \n", + "1 50 50 0.1 1.0 0.56 0.88 ( 0.05 ) 3.68 ( 0.29 ) 0.06 ( 0.03 )\n", + "17 50 50 0.3 1.0 0.50 0.76 ( 0.05 ) 4.6 ( 0.27 ) 0.07 ( 0.03 )\n", + "33 50 50 0.5 1.0 0.44 0.72 ( 0.05 ) 5.25 ( 0.31 ) 0.24 ( 0.06 )\n", + "49 50 50 0.7 1.0 0.36 0.76 ( 0.05 ) 5.83 ( 0.31 ) 0.81 ( 0.1 ) \n", + "65 50 50 0.9 1.0 0.32 0.54 ( 0.03 ) 4.91 ( 0.32 ) 1.96 ( 0.11 )\n", + "5 50 100 0.1 2.0 0.53 1.12 ( 0.1 ) 4.24 ( 0.3 ) 0.23 ( 0.06 )\n", + "21 50 100 0.3 2.0 0.43 1.12 ( 0.07 ) 5.19 ( 0.3 ) 0.63 ( 0.09 )\n", + "37 50 100 0.5 2.0 0.37 1.15 ( 0.07 ) 5.35 ( 0.36 ) 1.25 ( 0.11 )\n", + "53 50 100 0.7 2.0 0.31 0.99 ( 0.06 ) 5.89 ( 0.36 ) 1.88 ( 0.11 )\n", + "69 50 100 0.9 2.0 0.31 0.66 ( 0.04 ) 4.9 ( 0.33 ) 2.83 ( 0.09 )\n", + "9 50 500 0.1 10.0 0.36 2.54 ( 0.18 ) 5.13 ( 0.35 ) 1.78 ( 0.12 )\n", + "25 50 500 0.3 10.0 0.29 2.5 ( 0.14 ) 5.62 ( 0.34 ) 2.39 ( 0.12 )\n", + "41 50 500 0.5 10.0 0.29 2.28 ( 0.14 ) 5.5 ( 0.38 ) 2.81 ( 0.1 ) \n", + "57 50 500 0.7 10.0 0.27 1.81 ( 0.09 ) 5.27 ( 0.39 ) 3.43 ( 0.09 )\n", + "73 50 500 0.9 10.0 0.23 0.89 ( 0.05 ) 5.88 ( 0.44 ) 3.74 ( 0.07 )\n", + "13 50 1000 0.1 20.0 0.29 3.37 ( 0.2 ) 4.59 ( 0.36 ) 2.63 ( 0.15 )\n", + "29 50 1000 0.3 20.0 0.28 2.99 ( 0.17 ) 4.75 ( 0.36 ) 3 ( 0.13 ) \n", + "45 50 1000 0.5 20.0 0.23 2.44 ( 0.13 ) 5.82 ( 0.36 ) 3.37 ( 0.1 ) \n", + "61 50 1000 0.7 20.0 0.21 1.81 ( 0.08 ) 6.05 ( 0.39 ) 3.58 ( 0.1 ) \n", + "77 50 1000 0.9 20.0 0.19 1.04 ( 0.06 ) 5.24 ( 0.46 ) 4.23 ( 0.08 )\n", + "2 100 50 0.1 0.5 0.77 0.87 ( 0.05 ) 1.51 ( 0.35 ) 0 ( 0 ) \n", + "18 100 50 0.3 0.5 0.75 0.7 ( 0.04 ) 1.65 ( 0.28 ) 0 ( 0 ) \n", + "34 100 50 0.5 0.5 0.62 0.55 ( 0.02 ) 2.98 ( 0.3 ) 0 ( 0 ) \n", + "50 100 50 0.7 0.5 0.48 0.43 ( 0.02 ) 4.89 ( 0.38 ) 0.08 ( 0.03 )\n", + "66 100 50 0.9 0.5 0.35 0.41 ( 0.02 ) 5.64 ( 0.41 ) 0.96 ( 0.11 )\n", + "6 100 100 0.1 1.0 0.79 0.85 ( 0.04 ) 1.51 ( 0.34 ) 0 ( 0 ) \n", + "22 100 100 0.3 1.0 0.70 0.73 ( 0.04 ) 2.38 ( 0.32 ) 0 ( 0 ) \n", + "38 100 100 0.5 1.0 0.59 0.68 ( 0.03 ) 3.57 ( 0.36 ) 0.06 ( 0.02 )\n", + "54 100 100 0.7 1.0 0.41 0.48 ( 0.02 ) 6.91 ( 0.55 ) 0.22 ( 0.05 )\n", + "70 100 100 0.9 1.0 0.32 0.47 ( 0.02 ) 6.56 ( 0.48 ) 1.45 ( 0.11 )\n", + "... ... ... ... ... ... ... ... ... \n", + "11 500 500 0.1 1.00 0.96 1.1 ( 0.04 ) 0.25 ( 0.08 ) 0 ( 0 ) \n", + "27 500 500 0.3 1.00 0.96 0.93 ( 0.03 ) 0.25 ( 0.08 ) 0 ( 0 ) \n", + "43 500 500 0.5 1.00 0.93 0.67 ( 0.02 ) 0.45 ( 0.12 ) 0 ( 0 ) \n", + "59 500 500 0.7 1.00 0.74 0.46 ( 0.01 ) 2.11 ( 0.26 ) 0 ( 0 ) \n", + "75 500 500 0.9 1.00 0.41 0.34 ( 0.01 ) 8.17 ( 0.48 ) 0.17 ( 0.04 )\n", + "15 500 1000 0.1 2.00 0.96 1.1 ( 0.03 ) 0.24 ( 0.1 ) 0 ( 0 ) \n", + "31 500 1000 0.3 2.00 0.96 0.89 ( 0.03 ) 0.28 ( 0.09 ) 0 ( 0 ) \n", + "47 500 1000 0.5 2.00 0.96 0.7 ( 0.02 ) 0.22 ( 0.06 ) 0 ( 0 ) \n", + "63 500 1000 0.7 2.00 0.69 0.47 ( 0.01 ) 2.72 ( 0.33 ) 0 ( 0 ) \n", + "79 500 1000 0.9 2.00 0.34 0.35 ( 0.01 ) 10.52 ( 0.68 ) 0.32 ( 0.05 )\n", + "4 1000 50 0.1 0.05 0.90 1.09 ( 0.04 ) 0.55 ( 0.17 ) 0 ( 0 ) \n", + "20 1000 50 0.3 0.05 0.93 0.92 ( 0.03 ) 0.38 ( 0.1 ) 0 ( 0 ) \n", + "36 1000 50 0.5 0.05 0.93 0.67 ( 0.02 ) 0.39 ( 0.12 ) 0 ( 0 ) \n", + "52 1000 50 0.7 0.05 0.88 0.45 ( 0.01 ) 0.74 ( 0.13 ) 0 ( 0 ) \n", + "68 1000 50 0.9 0.05 0.71 0.3 ( 0 ) 2.18 ( 0.19 ) 0 ( 0 ) \n", + "8 1000 100 0.1 0.10 0.93 1.03 ( 0.04 ) 0.42 ( 0.12 ) 0 ( 0 ) \n", + "24 1000 100 0.3 0.10 0.93 0.87 ( 0.04 ) 0.41 ( 0.08 ) 0 ( 0 ) \n", + "40 1000 100 0.5 0.10 0.95 0.71 ( 0.02 ) 0.27 ( 0.09 ) 0 ( 0 ) \n", + "56 1000 100 0.7 0.10 0.92 0.48 ( 0.01 ) 0.5 ( 0.14 ) 0 ( 0 ) \n", + "72 1000 100 0.9 0.10 0.67 0.3 ( 0 ) 2.85 ( 0.24 ) 0 ( 0 ) \n", + "12 1000 500 0.1 0.50 0.96 1.18 ( 0.04 ) 0.24 ( 0.08 ) 0 ( 0 ) \n", + "28 1000 500 0.3 0.50 0.94 0.9 ( 0.03 ) 0.38 ( 0.1 ) 0 ( 0 ) \n", + "44 1000 500 0.5 0.50 0.94 0.69 ( 0.02 ) 0.35 ( 0.1 ) 0 ( 0 ) \n", + "60 1000 500 0.7 0.50 0.87 0.46 ( 0.01 ) 0.93 ( 0.16 ) 0 ( 0 ) \n", + "76 1000 500 0.9 0.50 0.58 0.32 ( 0 ) 4.24 ( 0.3 ) 0.01 ( 0.01 )\n", + "16 1000 1000 0.1 1.00 0.97 1.16 ( 0.03 ) 0.16 ( 0.06 ) 0 ( 0 ) \n", + "32 1000 1000 0.3 1.00 0.95 0.93 ( 0.03 ) 0.29 ( 0.09 ) 0 ( 0 ) \n", + "48 1000 1000 0.5 1.00 0.95 0.71 ( 0.02 ) 0.33 ( 0.13 ) 0 ( 0 ) \n", + "64 1000 1000 0.7 1.00 0.91 0.5 ( 0.01 ) 0.57 ( 0.16 ) 0 ( 0 ) \n", + "80 1000 1000 0.9 1.00 0.57 0.33 ( 0 ) 4.48 ( 0.3 ) 0.01 ( 0.01 )\n", + " MSE_mean FP_mean FN_mean\n", + "1 0.88 3.68 0.06 \n", + "17 0.76 4.60 0.07 \n", + "33 0.72 5.25 0.24 \n", + "49 0.76 5.83 0.81 \n", + "65 0.54 4.91 1.96 \n", + "5 1.12 4.24 0.23 \n", + "21 1.12 5.19 0.63 \n", + "37 1.15 5.35 1.25 \n", + "53 0.99 5.89 1.88 \n", + "69 0.66 4.90 2.83 \n", + "9 2.54 5.13 1.78 \n", + "25 2.50 5.62 2.39 \n", + "41 2.28 5.50 2.81 \n", + "57 1.81 5.27 3.43 \n", + "73 0.89 5.88 3.74 \n", + "13 3.37 4.59 2.63 \n", + "29 2.99 4.75 0.00 \n", + "45 2.44 5.82 3.37 \n", + "61 1.81 6.05 3.58 \n", + "77 1.04 5.24 4.23 \n", + "2 0.87 1.51 0.00 \n", + "18 0.70 1.65 0.00 \n", + "34 0.55 2.98 0.00 \n", + "50 0.43 4.89 0.08 \n", + "66 0.41 5.64 0.96 \n", + "6 0.85 1.51 0.00 \n", + "22 0.73 2.38 0.00 \n", + "38 0.68 3.57 0.06 \n", + "54 0.48 6.91 0.22 \n", + "70 0.47 6.56 1.45 \n", + "... ... ... ... \n", + "11 1.10 0.25 0.00 \n", + "27 0.93 0.25 0.00 \n", + "43 0.67 0.45 0.00 \n", + "59 0.46 2.11 0.00 \n", + "75 0.34 8.17 0.17 \n", + "15 1.10 0.24 0.00 \n", + "31 0.89 0.28 0.00 \n", + "47 0.70 0.22 0.00 \n", + "63 0.47 2.72 0.00 \n", + "79 0.35 10.50 0.32 \n", + "4 1.09 0.55 0.00 \n", + "20 0.92 0.38 0.00 \n", + "36 0.67 0.39 0.00 \n", + "52 0.45 0.74 0.00 \n", + "68 0.30 2.18 0.00 \n", + "8 1.03 0.42 0.00 \n", + "24 0.87 0.41 0.00 \n", + "40 0.71 0.27 0.00 \n", + "56 0.48 0.50 0.00 \n", + "72 0.30 2.85 0.00 \n", + "12 1.18 0.24 0.00 \n", + "28 0.90 0.38 0.00 \n", + "44 0.69 0.35 0.00 \n", + "60 0.46 0.93 0.00 \n", + "76 0.32 4.24 0.01 \n", + "16 1.16 0.16 0.00 \n", + "32 0.93 0.29 0.00 \n", + "48 0.71 0.33 0.00 \n", + "64 0.50 0.57 0.00 \n", + "80 0.33 4.48 0.01 " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "result.table_toe[with(result.table_toe, order(N, P, Corr)),]" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "R", + "language": "R", + "name": "ir" + }, + "language_info": { + "codemirror_mode": "r", + "file_extension": ".r", + "mimetype": "text/x-r-source", + "name": "R", + "pygments_lexer": "r", + "version": "3.6.1" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/simulations/notebooks_simulations/sim_toe_elnet.ipynb b/simulations/notebooks_simulations/sim_toe_elnet.ipynb new file mode 100644 index 0000000..06f7061 --- /dev/null +++ b/simulations/notebooks_simulations/sim_toe_elnet.ipynb @@ -0,0 +1,888 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "load('../sim_data/toe_Elnet.RData')" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "dir = '../sim_data'\n", + "dim.list = list()\n", + "size = c(50, 100, 500, 1000)\n", + "idx = 0\n", + "for (P in size){\n", + " for (N in size){\n", + " idx = idx + 1\n", + " dim.list[[idx]] = c(P=P, N=N)\n", + " }\n", + "}\n", + "\n", + "rou.list = seq(0.1, 0.9, 0.2)\n", + "\n", + "files = NULL\n", + "for (rou in rou.list){\n", + " for (dim in dim.list){\n", + " p = dim[1]\n", + " n = dim[2]\n", + " files = cbind(files, paste0(dir, '/sim_toeplitz_corr', rou, paste('P', p, 'N', n, sep='_'), '.RData', sep=''))\n", + " }\n", + "}" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "avg_FDR = NULL\n", + "for (i in 1:length(files)){\n", + " sim_file = files[i]\n", + " load(sim_file, dat <- new.env())\n", + " sub = dat$sim_array[[i]]\n", + " p = sub$p # take true values from 1st replicate of each simulated data\n", + " coef = sub$beta\n", + " coef.true = which(coef != 0)\n", + " \n", + " tt = results_toe_elnet[[i]]$Stab.table\n", + " \n", + " FDR = NULL\n", + " for (r in 1:nrow(tt)){\n", + " FDR = c(FDR, length(setdiff(which(tt[r, ] !=0), coef.true))/sum(tt[r, ]))\n", + "\n", + " }\n", + " \n", + " avg_FDR = c(avg_FDR, mean(FDR, na.rm=T))\n", + "}" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "table_toe = NULL\n", + "tmp_num_select = rep(0, length(results_toe_elnet))\n", + "for (i in 1:length(results_toe_elnet)){\n", + " table_toe = rbind(table_toe, results_toe_elnet[[i]][c('n', 'p', 'rou', 'FP', 'FN', 'MSE', 'Stab')])\n", + " tmp_num_select[i] = mean(rowSums(results_toe_elnet[[i]]$Stab.table))\n", + " \n", + "}\n", + "table_toe = as.data.frame(table_toe)\n", + "table_toe$num_select = tmp_num_select\n", + "table_toe$FDR = round(avg_FDR,2)" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", + "\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\n", + "
    nprouFPFNMSEStabnum_selectFDR
    50 50 0.1 14.72 ( 0.57 )0.01 ( 0.01 ) 0.6 ( 0.03 ) 0.21 19.71 0.67
    100 50 0.1 13.7 ( 0.66 )0 ( 0 ) 0.34 ( 0.01 )0.23 18.70 0.64
    500 50 0.1 13.59 ( 0.55 )0 ( 0 ) 0.26 ( 0 ) 0.23 18.59 0.65
    1000 50 0.1 12.64 ( 0.54 )0 ( 0 ) 0.26 ( 0 ) 0.25 17.64 0.63
    50 100 0.1 19.33 ( 0.67 )0 ( 0 ) 0.69 ( 0.05 ) 0.2 24.33 0.73
    100 100 0.1 17.77 ( 0.8 )0 ( 0 ) 0.38 ( 0.01 )0.22 22.77 0.70
    \n" + ], + "text/latex": [ + "\\begin{tabular}{r|lllllllll}\n", + " n & p & rou & FP & FN & MSE & Stab & num\\_select & FDR\\\\\n", + "\\hline\n", + "\t 50 & 50 & 0.1 & 14.72 ( 0.57 ) & 0.01 ( 0.01 ) & 0.6 ( 0.03 ) & 0.21 & 19.71 & 0.67 \\\\\n", + "\t 100 & 50 & 0.1 & 13.7 ( 0.66 ) & 0 ( 0 ) & 0.34 ( 0.01 ) & 0.23 & 18.70 & 0.64 \\\\\n", + "\t 500 & 50 & 0.1 & 13.59 ( 0.55 ) & 0 ( 0 ) & 0.26 ( 0 ) & 0.23 & 18.59 & 0.65 \\\\\n", + "\t 1000 & 50 & 0.1 & 12.64 ( 0.54 ) & 0 ( 0 ) & 0.26 ( 0 ) & 0.25 & 17.64 & 0.63 \\\\\n", + "\t 50 & 100 & 0.1 & 19.33 ( 0.67 ) & 0 ( 0 ) & 0.69 ( 0.05 ) & 0.2 & 24.33 & 0.73 \\\\\n", + "\t 100 & 100 & 0.1 & 17.77 ( 0.8 ) & 0 ( 0 ) & 0.38 ( 0.01 ) & 0.22 & 22.77 & 0.70 \\\\\n", + "\\end{tabular}\n" + ], + "text/markdown": [ + "\n", + "| n | p | rou | FP | FN | MSE | Stab | num_select | FDR |\n", + "|---|---|---|---|---|---|---|---|---|\n", + "| 50 | 50 | 0.1 | 14.72 ( 0.57 ) | 0.01 ( 0.01 ) | 0.6 ( 0.03 ) | 0.21 | 19.71 | 0.67 |\n", + "| 100 | 50 | 0.1 | 13.7 ( 0.66 ) | 0 ( 0 ) | 0.34 ( 0.01 ) | 0.23 | 18.70 | 0.64 |\n", + "| 500 | 50 | 0.1 | 13.59 ( 0.55 ) | 0 ( 0 ) | 0.26 ( 0 ) | 0.23 | 18.59 | 0.65 |\n", + "| 1000 | 50 | 0.1 | 12.64 ( 0.54 ) | 0 ( 0 ) | 0.26 ( 0 ) | 0.25 | 17.64 | 0.63 |\n", + "| 50 | 100 | 0.1 | 19.33 ( 0.67 ) | 0 ( 0 ) | 0.69 ( 0.05 ) | 0.2 | 24.33 | 0.73 |\n", + "| 100 | 100 | 0.1 | 17.77 ( 0.8 ) | 0 ( 0 ) | 0.38 ( 0.01 ) | 0.22 | 22.77 | 0.70 |\n", + "\n" + ], + "text/plain": [ + " n p rou FP FN MSE Stab num_select FDR \n", + "1 50 50 0.1 14.72 ( 0.57 ) 0.01 ( 0.01 ) 0.6 ( 0.03 ) 0.21 19.71 0.67\n", + "2 100 50 0.1 13.7 ( 0.66 ) 0 ( 0 ) 0.34 ( 0.01 ) 0.23 18.70 0.64\n", + "3 500 50 0.1 13.59 ( 0.55 ) 0 ( 0 ) 0.26 ( 0 ) 0.23 18.59 0.65\n", + "4 1000 50 0.1 12.64 ( 0.54 ) 0 ( 0 ) 0.26 ( 0 ) 0.25 17.64 0.63\n", + "5 50 100 0.1 19.33 ( 0.67 ) 0 ( 0 ) 0.69 ( 0.05 ) 0.2 24.33 0.73\n", + "6 100 100 0.1 17.77 ( 0.8 ) 0 ( 0 ) 0.38 ( 0.01 ) 0.22 22.77 0.70" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "head(table_toe)" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "extract_numeric() is deprecated: please use readr::parse_number() instead\n", + "extract_numeric() is deprecated: please use readr::parse_number() instead\n" + ] + } + ], + "source": [ + "# export result\n", + "result.table_toe <- apply(table_toe,2,as.character)\n", + "rownames(result.table_toe) = rownames(table_toe)\n", + "result.table_toe = as.data.frame(result.table_toe)\n", + "\n", + "# extract numbers only for 'n' & 'p'\n", + "result.table_toe$n = tidyr::extract_numeric(result.table_toe$n)\n", + "result.table_toe$p = tidyr::extract_numeric(result.table_toe$p)\n", + "result.table_toe$ratio = result.table_toe$p / result.table_toe$n\n", + "\n", + "result.table_toe = result.table_toe[c('n', 'p', 'rou', 'ratio', 'Stab', 'MSE', 'FP', 'FN', 'num_select', 'FDR')]\n", + "colnames(result.table_toe)[1:4] = c('N', 'P', 'Corr', 'Ratio')" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Warning message in eval(expr, envir, enclos):\n", + "“NAs introduced by coercion”Warning message in eval(expr, envir, enclos):\n", + "“NAs introduced by coercion”" + ] + } + ], + "source": [ + "# convert interested measurements to be numeric\n", + "result.table_toe$Stab = as.numeric(as.character(result.table_toe$Stab))\n", + "result.table_toe$MSE_mean = as.numeric(substr(result.table_toe$MSE, start=1, stop=4))\n", + "result.table_toe$FP_mean = as.numeric(substr(result.table_toe$FP, start=1, stop=4))\n", + "result.table_toe$FN_mean = as.numeric(substr(result.table_toe$FN, start=1, stop=4))\n", + "result.table_toe$FN_mean[is.na(result.table_toe$FN_mean)] = 0\n", + "result.table_toe$num_select = as.numeric(as.character(result.table_toe$num_select))" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", + "\n", + "\t\n", + "\t\n", + "\n", + "
    NPCorrRatioStabMSEFPFNnum_selectFDRMSE_meanFP_meanFN_mean
    241000 100 0.3 0.1 0.20 0.26 ( 0 ) 19 ( 0.86 ) 0 ( 0 ) 24.00 0.71 0.26 NA 0.00
    66 100 50 0.9 0.5 0.21 0.35 ( 0.01 )14 ( 0.69 ) 0.27 ( 0.06 )18.73 0.66 0.35 NA 0.27
    \n" + ], + "text/latex": [ + "\\begin{tabular}{r|lllllllllllll}\n", + " & N & P & Corr & Ratio & Stab & MSE & FP & FN & num\\_select & FDR & MSE\\_mean & FP\\_mean & FN\\_mean\\\\\n", + "\\hline\n", + "\t24 & 1000 & 100 & 0.3 & 0.1 & 0.20 & 0.26 ( 0 ) & 19 ( 0.86 ) & 0 ( 0 ) & 24.00 & 0.71 & 0.26 & NA & 0.00 \\\\\n", + "\t66 & 100 & 50 & 0.9 & 0.5 & 0.21 & 0.35 ( 0.01 ) & 14 ( 0.69 ) & 0.27 ( 0.06 ) & 18.73 & 0.66 & 0.35 & NA & 0.27 \\\\\n", + "\\end{tabular}\n" + ], + "text/markdown": [ + "\n", + "| | N | P | Corr | Ratio | Stab | MSE | FP | FN | num_select | FDR | MSE_mean | FP_mean | FN_mean |\n", + "|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n", + "| 24 | 1000 | 100 | 0.3 | 0.1 | 0.20 | 0.26 ( 0 ) | 19 ( 0.86 ) | 0 ( 0 ) | 24.00 | 0.71 | 0.26 | NA | 0.00 |\n", + "| 66 | 100 | 50 | 0.9 | 0.5 | 0.21 | 0.35 ( 0.01 ) | 14 ( 0.69 ) | 0.27 ( 0.06 ) | 18.73 | 0.66 | 0.35 | NA | 0.27 |\n", + "\n" + ], + "text/plain": [ + " N P Corr Ratio Stab MSE FP FN num_select\n", + "24 1000 100 0.3 0.1 0.20 0.26 ( 0 ) 19 ( 0.86 ) 0 ( 0 ) 24.00 \n", + "66 100 50 0.9 0.5 0.21 0.35 ( 0.01 ) 14 ( 0.69 ) 0.27 ( 0.06 ) 18.73 \n", + " FDR MSE_mean FP_mean FN_mean\n", + "24 0.71 0.26 NA 0.00 \n", + "66 0.66 0.35 NA 0.27 " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# check whether missing values exists\n", + "result.table_toe[rowSums(is.na(result.table_toe)) > 0,]" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [], + "source": [ + "# recover values\n", + "result.table_toe$FP_mean[24] = 19\n", + "result.table_toe$FP_mean[66] = 14" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", + "\n", + "\t\n", + "\t\n", + "\n", + "
    NPCorrRatioStabMSEFPFNnum_selectFDRMSE_meanFP_meanFN_mean
    241000 100 0.3 0.1 0.20 0.26 ( 0 ) 19 ( 0.86 ) 0 ( 0 ) 24.00 0.71 0.26 19 0.00
    66 100 50 0.9 0.5 0.21 0.35 ( 0.01 )14 ( 0.69 ) 0.27 ( 0.06 )18.73 0.66 0.35 14 0.27
    \n" + ], + "text/latex": [ + "\\begin{tabular}{r|lllllllllllll}\n", + " & N & P & Corr & Ratio & Stab & MSE & FP & FN & num\\_select & FDR & MSE\\_mean & FP\\_mean & FN\\_mean\\\\\n", + "\\hline\n", + "\t24 & 1000 & 100 & 0.3 & 0.1 & 0.20 & 0.26 ( 0 ) & 19 ( 0.86 ) & 0 ( 0 ) & 24.00 & 0.71 & 0.26 & 19 & 0.00 \\\\\n", + "\t66 & 100 & 50 & 0.9 & 0.5 & 0.21 & 0.35 ( 0.01 ) & 14 ( 0.69 ) & 0.27 ( 0.06 ) & 18.73 & 0.66 & 0.35 & 14 & 0.27 \\\\\n", + "\\end{tabular}\n" + ], + "text/markdown": [ + "\n", + "| | N | P | Corr | Ratio | Stab | MSE | FP | FN | num_select | FDR | MSE_mean | FP_mean | FN_mean |\n", + "|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n", + "| 24 | 1000 | 100 | 0.3 | 0.1 | 0.20 | 0.26 ( 0 ) | 19 ( 0.86 ) | 0 ( 0 ) | 24.00 | 0.71 | 0.26 | 19 | 0.00 |\n", + "| 66 | 100 | 50 | 0.9 | 0.5 | 0.21 | 0.35 ( 0.01 ) | 14 ( 0.69 ) | 0.27 ( 0.06 ) | 18.73 | 0.66 | 0.35 | 14 | 0.27 |\n", + "\n" + ], + "text/plain": [ + " N P Corr Ratio Stab MSE FP FN num_select\n", + "24 1000 100 0.3 0.1 0.20 0.26 ( 0 ) 19 ( 0.86 ) 0 ( 0 ) 24.00 \n", + "66 100 50 0.9 0.5 0.21 0.35 ( 0.01 ) 14 ( 0.69 ) 0.27 ( 0.06 ) 18.73 \n", + " FDR MSE_mean FP_mean FN_mean\n", + "24 0.71 0.26 19 0.00 \n", + "66 0.66 0.35 14 0.27 " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "result.table_toe[c(24, 66), ]" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", + "\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\n", + "
    NPCorrRatioStabMSEFPFNnum_selectFDRMSE_meanFP_meanFN_mean
    50 50 0.1 1.00 0.21 0.6 ( 0.03 ) 14.72 ( 0.57 )0.01 ( 0.01 ) 19.71 0.67 0.60 14.7 0.01
    100 50 0.1 0.50 0.23 0.34 ( 0.01 ) 13.7 ( 0.66 ) 0 ( 0 ) 18.70 0.64 0.34 13.7 0.00
    500 50 0.1 0.10 0.23 0.26 ( 0 ) 13.59 ( 0.55 )0 ( 0 ) 18.59 0.65 0.26 13.5 0.00
    1000 50 0.1 0.05 0.25 0.26 ( 0 ) 12.64 ( 0.54 )0 ( 0 ) 17.64 0.63 0.26 12.6 0.00
    50 100 0.1 2.00 0.20 0.69 ( 0.05 ) 19.33 ( 0.67 )0 ( 0 ) 24.33 0.73 0.69 19.3 0.00
    100 100 0.1 1.00 0.22 0.38 ( 0.01 ) 17.77 ( 0.8 ) 0 ( 0 ) 22.77 0.7 0.38 17.7 0.00
    \n" + ], + "text/latex": [ + "\\begin{tabular}{r|lllllllllllll}\n", + " N & P & Corr & Ratio & Stab & MSE & FP & FN & num\\_select & FDR & MSE\\_mean & FP\\_mean & FN\\_mean\\\\\n", + "\\hline\n", + "\t 50 & 50 & 0.1 & 1.00 & 0.21 & 0.6 ( 0.03 ) & 14.72 ( 0.57 ) & 0.01 ( 0.01 ) & 19.71 & 0.67 & 0.60 & 14.7 & 0.01 \\\\\n", + "\t 100 & 50 & 0.1 & 0.50 & 0.23 & 0.34 ( 0.01 ) & 13.7 ( 0.66 ) & 0 ( 0 ) & 18.70 & 0.64 & 0.34 & 13.7 & 0.00 \\\\\n", + "\t 500 & 50 & 0.1 & 0.10 & 0.23 & 0.26 ( 0 ) & 13.59 ( 0.55 ) & 0 ( 0 ) & 18.59 & 0.65 & 0.26 & 13.5 & 0.00 \\\\\n", + "\t 1000 & 50 & 0.1 & 0.05 & 0.25 & 0.26 ( 0 ) & 12.64 ( 0.54 ) & 0 ( 0 ) & 17.64 & 0.63 & 0.26 & 12.6 & 0.00 \\\\\n", + "\t 50 & 100 & 0.1 & 2.00 & 0.20 & 0.69 ( 0.05 ) & 19.33 ( 0.67 ) & 0 ( 0 ) & 24.33 & 0.73 & 0.69 & 19.3 & 0.00 \\\\\n", + "\t 100 & 100 & 0.1 & 1.00 & 0.22 & 0.38 ( 0.01 ) & 17.77 ( 0.8 ) & 0 ( 0 ) & 22.77 & 0.7 & 0.38 & 17.7 & 0.00 \\\\\n", + "\\end{tabular}\n" + ], + "text/markdown": [ + "\n", + "| N | P | Corr | Ratio | Stab | MSE | FP | FN | num_select | FDR | MSE_mean | FP_mean | FN_mean |\n", + "|---|---|---|---|---|---|---|---|---|---|---|---|---|\n", + "| 50 | 50 | 0.1 | 1.00 | 0.21 | 0.6 ( 0.03 ) | 14.72 ( 0.57 ) | 0.01 ( 0.01 ) | 19.71 | 0.67 | 0.60 | 14.7 | 0.01 |\n", + "| 100 | 50 | 0.1 | 0.50 | 0.23 | 0.34 ( 0.01 ) | 13.7 ( 0.66 ) | 0 ( 0 ) | 18.70 | 0.64 | 0.34 | 13.7 | 0.00 |\n", + "| 500 | 50 | 0.1 | 0.10 | 0.23 | 0.26 ( 0 ) | 13.59 ( 0.55 ) | 0 ( 0 ) | 18.59 | 0.65 | 0.26 | 13.5 | 0.00 |\n", + "| 1000 | 50 | 0.1 | 0.05 | 0.25 | 0.26 ( 0 ) | 12.64 ( 0.54 ) | 0 ( 0 ) | 17.64 | 0.63 | 0.26 | 12.6 | 0.00 |\n", + "| 50 | 100 | 0.1 | 2.00 | 0.20 | 0.69 ( 0.05 ) | 19.33 ( 0.67 ) | 0 ( 0 ) | 24.33 | 0.73 | 0.69 | 19.3 | 0.00 |\n", + "| 100 | 100 | 0.1 | 1.00 | 0.22 | 0.38 ( 0.01 ) | 17.77 ( 0.8 ) | 0 ( 0 ) | 22.77 | 0.7 | 0.38 | 17.7 | 0.00 |\n", + "\n" + ], + "text/plain": [ + " N P Corr Ratio Stab MSE FP FN \n", + "1 50 50 0.1 1.00 0.21 0.6 ( 0.03 ) 14.72 ( 0.57 ) 0.01 ( 0.01 )\n", + "2 100 50 0.1 0.50 0.23 0.34 ( 0.01 ) 13.7 ( 0.66 ) 0 ( 0 ) \n", + "3 500 50 0.1 0.10 0.23 0.26 ( 0 ) 13.59 ( 0.55 ) 0 ( 0 ) \n", + "4 1000 50 0.1 0.05 0.25 0.26 ( 0 ) 12.64 ( 0.54 ) 0 ( 0 ) \n", + "5 50 100 0.1 2.00 0.20 0.69 ( 0.05 ) 19.33 ( 0.67 ) 0 ( 0 ) \n", + "6 100 100 0.1 1.00 0.22 0.38 ( 0.01 ) 17.77 ( 0.8 ) 0 ( 0 ) \n", + " num_select FDR MSE_mean FP_mean FN_mean\n", + "1 19.71 0.67 0.60 14.7 0.01 \n", + "2 18.70 0.64 0.34 13.7 0.00 \n", + "3 18.59 0.65 0.26 13.5 0.00 \n", + "4 17.64 0.63 0.26 12.6 0.00 \n", + "5 24.33 0.73 0.69 19.3 0.00 \n", + "6 22.77 0.7 0.38 17.7 0.00 " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "head(result.table_toe)" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", + "\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\n", + "
    NPCorrRatioStabMSEFPFNnum_selectFDRMSE_meanFP_meanFN_mean
    75 500 500 0.9 1.0 0.12 0.29 ( 0 ) 41.14 ( 1.02 )0 ( 0 ) 46.14 0.86 0.29 41.1 0.00
    761000 500 0.9 0.5 0.13 0.27 ( 0 ) 39.21 ( 0.84 )0 ( 0 ) 44.21 0.86 0.27 39.2 0.00
    77 50 1000 0.9 20.0 0.04 0.94 ( 0.05 ) 36.59 ( 3.6 ) 3.72 ( 0.08 ) 37.87 0.92 0.94 36.5 3.72
    78 100 1000 0.9 10.0 0.09 0.59 ( 0.02 ) 32.05 ( 1.85 )2.59 ( 0.06 ) 34.46 0.88 0.59 32.0 2.59
    79 500 1000 0.9 2.0 0.09 0.3 ( 0 ) 57.69 ( 1.57 )0 ( 0 ) 62.69 0.9 0.30 57.6 0.00
    801000 1000 0.9 1.0 0.10 0.27 ( 0 ) 52.35 ( 1.6 ) 0 ( 0 ) 57.35 0.89 0.27 52.3 0.00
    \n" + ], + "text/latex": [ + "\\begin{tabular}{r|lllllllllllll}\n", + " & N & P & Corr & Ratio & Stab & MSE & FP & FN & num\\_select & FDR & MSE\\_mean & FP\\_mean & FN\\_mean\\\\\n", + "\\hline\n", + "\t75 & 500 & 500 & 0.9 & 1.0 & 0.12 & 0.29 ( 0 ) & 41.14 ( 1.02 ) & 0 ( 0 ) & 46.14 & 0.86 & 0.29 & 41.1 & 0.00 \\\\\n", + "\t76 & 1000 & 500 & 0.9 & 0.5 & 0.13 & 0.27 ( 0 ) & 39.21 ( 0.84 ) & 0 ( 0 ) & 44.21 & 0.86 & 0.27 & 39.2 & 0.00 \\\\\n", + "\t77 & 50 & 1000 & 0.9 & 20.0 & 0.04 & 0.94 ( 0.05 ) & 36.59 ( 3.6 ) & 3.72 ( 0.08 ) & 37.87 & 0.92 & 0.94 & 36.5 & 3.72 \\\\\n", + "\t78 & 100 & 1000 & 0.9 & 10.0 & 0.09 & 0.59 ( 0.02 ) & 32.05 ( 1.85 ) & 2.59 ( 0.06 ) & 34.46 & 0.88 & 0.59 & 32.0 & 2.59 \\\\\n", + "\t79 & 500 & 1000 & 0.9 & 2.0 & 0.09 & 0.3 ( 0 ) & 57.69 ( 1.57 ) & 0 ( 0 ) & 62.69 & 0.9 & 0.30 & 57.6 & 0.00 \\\\\n", + "\t80 & 1000 & 1000 & 0.9 & 1.0 & 0.10 & 0.27 ( 0 ) & 52.35 ( 1.6 ) & 0 ( 0 ) & 57.35 & 0.89 & 0.27 & 52.3 & 0.00 \\\\\n", + "\\end{tabular}\n" + ], + "text/markdown": [ + "\n", + "| | N | P | Corr | Ratio | Stab | MSE | FP | FN | num_select | FDR | MSE_mean | FP_mean | FN_mean |\n", + "|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n", + "| 75 | 500 | 500 | 0.9 | 1.0 | 0.12 | 0.29 ( 0 ) | 41.14 ( 1.02 ) | 0 ( 0 ) | 46.14 | 0.86 | 0.29 | 41.1 | 0.00 |\n", + "| 76 | 1000 | 500 | 0.9 | 0.5 | 0.13 | 0.27 ( 0 ) | 39.21 ( 0.84 ) | 0 ( 0 ) | 44.21 | 0.86 | 0.27 | 39.2 | 0.00 |\n", + "| 77 | 50 | 1000 | 0.9 | 20.0 | 0.04 | 0.94 ( 0.05 ) | 36.59 ( 3.6 ) | 3.72 ( 0.08 ) | 37.87 | 0.92 | 0.94 | 36.5 | 3.72 |\n", + "| 78 | 100 | 1000 | 0.9 | 10.0 | 0.09 | 0.59 ( 0.02 ) | 32.05 ( 1.85 ) | 2.59 ( 0.06 ) | 34.46 | 0.88 | 0.59 | 32.0 | 2.59 |\n", + "| 79 | 500 | 1000 | 0.9 | 2.0 | 0.09 | 0.3 ( 0 ) | 57.69 ( 1.57 ) | 0 ( 0 ) | 62.69 | 0.9 | 0.30 | 57.6 | 0.00 |\n", + "| 80 | 1000 | 1000 | 0.9 | 1.0 | 0.10 | 0.27 ( 0 ) | 52.35 ( 1.6 ) | 0 ( 0 ) | 57.35 | 0.89 | 0.27 | 52.3 | 0.00 |\n", + "\n" + ], + "text/plain": [ + " N P Corr Ratio Stab MSE FP FN \n", + "75 500 500 0.9 1.0 0.12 0.29 ( 0 ) 41.14 ( 1.02 ) 0 ( 0 ) \n", + "76 1000 500 0.9 0.5 0.13 0.27 ( 0 ) 39.21 ( 0.84 ) 0 ( 0 ) \n", + "77 50 1000 0.9 20.0 0.04 0.94 ( 0.05 ) 36.59 ( 3.6 ) 3.72 ( 0.08 )\n", + "78 100 1000 0.9 10.0 0.09 0.59 ( 0.02 ) 32.05 ( 1.85 ) 2.59 ( 0.06 )\n", + "79 500 1000 0.9 2.0 0.09 0.3 ( 0 ) 57.69 ( 1.57 ) 0 ( 0 ) \n", + "80 1000 1000 0.9 1.0 0.10 0.27 ( 0 ) 52.35 ( 1.6 ) 0 ( 0 ) \n", + " num_select FDR MSE_mean FP_mean FN_mean\n", + "75 46.14 0.86 0.29 41.1 0.00 \n", + "76 44.21 0.86 0.27 39.2 0.00 \n", + "77 37.87 0.92 0.94 36.5 3.72 \n", + "78 34.46 0.88 0.59 32.0 2.59 \n", + "79 62.69 0.9 0.30 57.6 0.00 \n", + "80 57.35 0.89 0.27 52.3 0.00 " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "tail(result.table_toe)" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [], + "source": [ + "## export\n", + "write.table(result.table_toe, '../results_summary/sim_toe_elnet.txt', sep='\\t', row.names=F)" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Registered S3 methods overwritten by 'ggplot2':\n", + " method from \n", + " [.quosures rlang\n", + " c.quosures rlang\n", + " print.quosures rlang\n", + "Loading required package: magrittr\n", + "Warning message:\n", + "“Using size for a discrete variable is not advised.”Warning message:\n", + "“Using alpha for a discrete variable is not advised.”Warning message:\n", + "“Using size for a discrete variable is not advised.”Warning message:\n", + "“Using alpha for a discrete variable is not advised.”Warning message:\n", + "“Using size for a discrete variable is not advised.”Warning message:\n", + "“Using alpha for a discrete variable is not advised.”Warning message:\n", + "“Using size for a discrete variable is not advised.”Warning message:\n", + "“Using alpha for a discrete variable is not advised.”file saved to ../figures_sim/figure_toe_elnet.pdf\n" + ] + } + ], + "source": [ + "library(ggplot2)\n", + "library(ggpubr)\n", + "result.table_toe$N = as.factor(result.table_toe$N)\n", + "fig_toe_stab = ggplot(result.table_toe, aes(x=P, y=Stab, color=N)) + \n", + " geom_point(aes(size = Corr, alpha=Corr)) + theme(legend.position = \"none\") +\n", + " scale_size_discrete(range = c(1,4)) + scale_alpha_discrete(range = c(1, 0.4)) + ylab('Stability')\n", + "\n", + "fig_toe_mse = ggplot(result.table_toe, aes(x=P, y=MSE_mean, color=N)) + \n", + " geom_point(aes(size = Corr, alpha=Corr)) + theme(legend.position=\"none\") +\n", + " scale_size_discrete(range = c(1,4)) + scale_alpha_discrete(range = c(1, 0.4)) + ylab('MSE')\n", + "\n", + "fig_toe_fp = ggplot(result.table_toe, aes(x=P, y=FP_mean, color=N)) + \n", + " geom_point(aes(size = Corr, alpha=Corr)) + theme(legend.position = \"none\") +\n", + " scale_size_discrete(range = c(1,4)) + scale_alpha_discrete(range = c(1, 0.4)) + ylab('False Positives')\n", + "\n", + "fig_toe_fn = ggplot(result.table_toe, aes(x=P, y=FN_mean, color=N)) + \n", + " geom_point(aes(size = Corr, alpha=Corr)) + theme(legend.position = \"none\") +\n", + " scale_size_discrete(range = c(1,4)) + scale_alpha_discrete(range = c(1, 0.4)) + ylab('False Negatives')\n", + "fig = ggarrange(fig_toe_stab, fig_toe_mse, fig_toe_fp, fig_toe_fn, ncol=2, nrow=2, \n", + " common.legend = TRUE, legend=\"right\") \n", + "fig = annotate_figure(fig, top = text_grob(\"Toeplitz_ElaticNet\"))\n", + "ggexport(fig, filename = \"../figures_sim/figure_toe_elnet.pdf\", height=6, width=6)" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", + "\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\n", + "
    NPCorrRatioStabMSEFPFNMSE_meanFP_meanFN_mean
    150 50 0.1 1.0 0.21 0.6 ( 0.03 ) 14.72 ( 0.57 )0.01 ( 0.01 ) 0.60 14.7 0.01
    1750 50 0.3 1.0 0.21 0.53 ( 0.03 ) 14.65 ( 0.58 )0.03 ( 0.02 ) 0.53 14.6 0.03
    3350 50 0.5 1.0 0.20 0.57 ( 0.04 ) 14.64 ( 0.66 )0.09 ( 0.03 ) 0.57 14.6 0.09
    4950 50 0.7 1.0 0.18 0.6 ( 0.04 ) 15.25 ( 0.54 )0.25 ( 0.05 ) 0.60 15.2 0.25
    6550 50 0.9 1.0 0.16 0.5 ( 0.02 ) 13.26 ( 0.77 )1.03 ( 0.11 ) 0.50 13.2 1.03
    550 100 0.1 2.0 0.20 0.69 ( 0.05 ) 19.33 ( 0.67 )0 ( 0 ) 0.69 19.3 0.00
    2150 100 0.3 2.0 0.19 0.72 ( 0.04 ) 19.67 ( 0.66 )0.08 ( 0.03 ) 0.72 19.6 0.08
    3750 100 0.5 2.0 0.17 0.8 ( 0.04 ) 20.05 ( 0.68 )0.34 ( 0.06 ) 0.80 20.0 0.34
    5350 100 0.7 2.0 0.15 0.81 ( 0.04 ) 19.25 ( 0.81 )0.79 ( 0.09 ) 0.81 19.2 0.79
    6950 100 0.9 2.0 0.15 0.56 ( 0.03 ) 15.35 ( 0.8 ) 1.83 ( 0.12 ) 0.56 15.3 1.83
    950 500 0.1 10.0 0.13 1.74 ( 0.11 ) 29.67 ( 1.23 )0.63 ( 0.07 ) 1.74 29.6 0.63
    2550 500 0.3 10.0 0.10 1.94 ( 0.12 ) 32.52 ( 1.94 )1.33 ( 0.1 ) 1.94 32.5 1.33
    4150 500 0.5 10.0 0.09 1.86 ( 0.11 ) 29.92 ( 1.25 )1.88 ( 0.1 ) 1.86 29.9 1.88
    5750 500 0.7 10.0 0.09 1.48 ( 0.09 ) 27.19 ( 0.95 )2.71 ( 0.08 ) 1.48 27.1 2.71
    7350 500 0.9 10.0 0.08 0.88 ( 0.04 ) 25.11 ( 1.93 )3.23 ( 0.08 ) 0.88 25.1 3.23
    1350 1000 0.1 20.0 0.09 2.5 ( 0.16 ) 39.01 ( 2.7 ) 1.34 ( 0.1 ) 2.50 39.0 1.34
    2950 1000 0.3 20.0 0.08 2.46 ( 0.17 ) 35.99 ( 1.99 )1.83 ( 0.1 ) 2.46 35.9 1.83
    4550 1000 0.5 20.0 0.07 2.33 ( 0.14 ) 35.29 ( 1.69 )2.53 ( 0.1 ) 2.33 35.2 2.53
    6150 1000 0.7 20.0 0.06 1.66 ( 0.09 ) 35.91 ( 1.86 )3.03 ( 0.09 ) 1.66 35.9 3.03
    7750 1000 0.9 20.0 0.04 0.94 ( 0.05 ) 36.59 ( 3.6 ) 3.72 ( 0.08 ) 0.94 36.5 3.72
    2100 50 0.1 0.5 0.23 0.34 ( 0.01 ) 13.7 ( 0.66 ) 0 ( 0 ) 0.34 13.7 0.00
    18100 50 0.3 0.5 0.20 0.34 ( 0.01 ) 14.91 ( 0.58 )0 ( 0 ) 0.34 14.9 0.00
    34100 50 0.5 0.5 0.21 0.33 ( 0.01 ) 14.76 ( 0.55 )0 ( 0 ) 0.33 14.7 0.00
    50100 50 0.7 0.5 0.20 0.35 ( 0.01 ) 15.66 ( 0.62 )0 ( 0 ) 0.35 15.6 0.00
    66100 50 0.9 0.5 0.21 0.35 ( 0.01 ) 14 ( 0.69 ) 0.27 ( 0.06 ) 0.35 14.0 0.27
    6100 100 0.1 1.0 0.22 0.38 ( 0.01 ) 17.77 ( 0.8 ) 0 ( 0 ) 0.38 17.7 0.00
    22100 100 0.3 1.0 0.19 0.38 ( 0.01 ) 20.48 ( 0.85 )0 ( 0 ) 0.38 20.4 0.00
    38100 100 0.5 1.0 0.17 0.41 ( 0.02 ) 21.92 ( 0.83 )0 ( 0 ) 0.41 21.9 0.00
    54100 100 0.7 1.0 0.18 0.36 ( 0.01 ) 21.79 ( 0.78 )0.01 ( 0.01 ) 0.36 21.7 0.01
    70100 100 0.9 1.0 0.18 0.4 ( 0.02 ) 18.69 ( 0.92 )0.41 ( 0.07 ) 0.40 18.6 0.41
    ....................................
    11500 500 0.1 1.00 0.16 0.27 ( 0 ) 29.38 ( 1.53 )0 ( 0 ) 0.27 29.3 0
    27500 500 0.3 1.00 0.16 0.28 ( 0 ) 30.92 ( 1.44 )0 ( 0 ) 0.28 30.9 0
    43500 500 0.5 1.00 0.13 0.28 ( 0 ) 37.1 ( 1.54 ) 0 ( 0 ) 0.28 37.1 0
    59500 500 0.7 1.00 0.13 0.29 ( 0 ) 38.11 ( 1.41 )0 ( 0 ) 0.29 38.1 0
    75500 500 0.9 1.00 0.12 0.29 ( 0 ) 41.14 ( 1.02 )0 ( 0 ) 0.29 41.1 0
    15500 1000 0.1 2.00 0.14 0.27 ( 0 ) 37.88 ( 2.19 )0 ( 0 ) 0.27 37.8 0
    31500 1000 0.3 2.00 0.13 0.28 ( 0 ) 38.46 ( 2.16 )0 ( 0 ) 0.28 38.4 0
    47500 1000 0.5 2.00 0.12 0.29 ( 0 ) 42.86 ( 2.28 )0 ( 0 ) 0.29 42.8 0
    63500 1000 0.7 2.00 0.11 0.3 ( 0 ) 49.45 ( 1.98 )0 ( 0 ) 0.30 49.4 0
    79500 1000 0.9 2.00 0.09 0.3 ( 0 ) 57.69 ( 1.57 )0 ( 0 ) 0.30 57.6 0
    41000 50 0.1 0.05 0.25 0.26 ( 0 ) 12.64 ( 0.54 )0 ( 0 ) 0.26 12.6 0
    201000 50 0.3 0.05 0.27 0.26 ( 0 ) 11.94 ( 0.43 )0 ( 0 ) 0.26 11.9 0
    361000 50 0.5 0.05 0.23 0.26 ( 0 ) 13.4 ( 0.49 ) 0 ( 0 ) 0.26 13.4 0
    521000 50 0.7 0.05 0.26 0.26 ( 0 ) 12.18 ( 0.6 ) 0 ( 0 ) 0.26 12.1 0
    681000 50 0.9 0.05 0.29 0.26 ( 0 ) 12.06 ( 0.52 )0 ( 0 ) 0.26 12.0 0
    81000 100 0.1 0.10 0.22 0.26 ( 0 ) 17.23 ( 0.72 )0 ( 0 ) 0.26 17.2 0
    241000 100 0.3 0.10 0.20 0.26 ( 0 ) 19 ( 0.86 ) 0 ( 0 ) 0.26 19.0 0
    401000 100 0.5 0.10 0.20 0.26 ( 0 ) 19.53 ( 0.66 )0 ( 0 ) 0.26 19.5 0
    561000 100 0.7 0.10 0.21 0.26 ( 0 ) 18.91 ( 0.6 ) 0 ( 0 ) 0.26 18.9 0
    721000 100 0.9 0.10 0.26 0.26 ( 0 ) 16.05 ( 0.62 )0 ( 0 ) 0.26 16.0 0
    121000 500 0.1 0.50 0.18 0.27 ( 0 ) 26.73 ( 1.56 )0 ( 0 ) 0.27 26.7 0
    281000 500 0.3 0.50 0.16 0.26 ( 0 ) 30.61 ( 1.55 )0 ( 0 ) 0.26 30.6 0
    441000 500 0.5 0.50 0.13 0.27 ( 0 ) 36.71 ( 1.5 ) 0 ( 0 ) 0.27 36.7 0
    601000 500 0.7 0.50 0.13 0.27 ( 0 ) 38.16 ( 1.26 )0 ( 0 ) 0.27 38.1 0
    761000 500 0.9 0.50 0.13 0.27 ( 0 ) 39.21 ( 0.84 )0 ( 0 ) 0.27 39.2 0
    161000 1000 0.1 1.00 0.16 0.26 ( 0 ) 31.4 ( 1.69 ) 0 ( 0 ) 0.26 31.4 0
    321000 1000 0.3 1.00 0.13 0.27 ( 0 ) 38.29 ( 2.09 )0 ( 0 ) 0.27 38.2 0
    481000 1000 0.5 1.00 0.13 0.27 ( 0 ) 41.01 ( 1.99 )0 ( 0 ) 0.27 41.0 0
    641000 1000 0.7 1.00 0.11 0.27 ( 0 ) 48.15 ( 1.76 )0 ( 0 ) 0.27 48.1 0
    801000 1000 0.9 1.00 0.10 0.27 ( 0 ) 52.35 ( 1.6 ) 0 ( 0 ) 0.27 52.3 0
    \n" + ], + "text/latex": [ + "\\begin{tabular}{r|lllllllllll}\n", + " & N & P & Corr & Ratio & Stab & MSE & FP & FN & MSE\\_mean & FP\\_mean & FN\\_mean\\\\\n", + "\\hline\n", + "\t1 & 50 & 50 & 0.1 & 1.0 & 0.21 & 0.6 ( 0.03 ) & 14.72 ( 0.57 ) & 0.01 ( 0.01 ) & 0.60 & 14.7 & 0.01 \\\\\n", + "\t17 & 50 & 50 & 0.3 & 1.0 & 0.21 & 0.53 ( 0.03 ) & 14.65 ( 0.58 ) & 0.03 ( 0.02 ) & 0.53 & 14.6 & 0.03 \\\\\n", + "\t33 & 50 & 50 & 0.5 & 1.0 & 0.20 & 0.57 ( 0.04 ) & 14.64 ( 0.66 ) & 0.09 ( 0.03 ) & 0.57 & 14.6 & 0.09 \\\\\n", + "\t49 & 50 & 50 & 0.7 & 1.0 & 0.18 & 0.6 ( 0.04 ) & 15.25 ( 0.54 ) & 0.25 ( 0.05 ) & 0.60 & 15.2 & 0.25 \\\\\n", + "\t65 & 50 & 50 & 0.9 & 1.0 & 0.16 & 0.5 ( 0.02 ) & 13.26 ( 0.77 ) & 1.03 ( 0.11 ) & 0.50 & 13.2 & 1.03 \\\\\n", + "\t5 & 50 & 100 & 0.1 & 2.0 & 0.20 & 0.69 ( 0.05 ) & 19.33 ( 0.67 ) & 0 ( 0 ) & 0.69 & 19.3 & 0.00 \\\\\n", + "\t21 & 50 & 100 & 0.3 & 2.0 & 0.19 & 0.72 ( 0.04 ) & 19.67 ( 0.66 ) & 0.08 ( 0.03 ) & 0.72 & 19.6 & 0.08 \\\\\n", + "\t37 & 50 & 100 & 0.5 & 2.0 & 0.17 & 0.8 ( 0.04 ) & 20.05 ( 0.68 ) & 0.34 ( 0.06 ) & 0.80 & 20.0 & 0.34 \\\\\n", + "\t53 & 50 & 100 & 0.7 & 2.0 & 0.15 & 0.81 ( 0.04 ) & 19.25 ( 0.81 ) & 0.79 ( 0.09 ) & 0.81 & 19.2 & 0.79 \\\\\n", + "\t69 & 50 & 100 & 0.9 & 2.0 & 0.15 & 0.56 ( 0.03 ) & 15.35 ( 0.8 ) & 1.83 ( 0.12 ) & 0.56 & 15.3 & 1.83 \\\\\n", + "\t9 & 50 & 500 & 0.1 & 10.0 & 0.13 & 1.74 ( 0.11 ) & 29.67 ( 1.23 ) & 0.63 ( 0.07 ) & 1.74 & 29.6 & 0.63 \\\\\n", + "\t25 & 50 & 500 & 0.3 & 10.0 & 0.10 & 1.94 ( 0.12 ) & 32.52 ( 1.94 ) & 1.33 ( 0.1 ) & 1.94 & 32.5 & 1.33 \\\\\n", + "\t41 & 50 & 500 & 0.5 & 10.0 & 0.09 & 1.86 ( 0.11 ) & 29.92 ( 1.25 ) & 1.88 ( 0.1 ) & 1.86 & 29.9 & 1.88 \\\\\n", + "\t57 & 50 & 500 & 0.7 & 10.0 & 0.09 & 1.48 ( 0.09 ) & 27.19 ( 0.95 ) & 2.71 ( 0.08 ) & 1.48 & 27.1 & 2.71 \\\\\n", + "\t73 & 50 & 500 & 0.9 & 10.0 & 0.08 & 0.88 ( 0.04 ) & 25.11 ( 1.93 ) & 3.23 ( 0.08 ) & 0.88 & 25.1 & 3.23 \\\\\n", + "\t13 & 50 & 1000 & 0.1 & 20.0 & 0.09 & 2.5 ( 0.16 ) & 39.01 ( 2.7 ) & 1.34 ( 0.1 ) & 2.50 & 39.0 & 1.34 \\\\\n", + "\t29 & 50 & 1000 & 0.3 & 20.0 & 0.08 & 2.46 ( 0.17 ) & 35.99 ( 1.99 ) & 1.83 ( 0.1 ) & 2.46 & 35.9 & 1.83 \\\\\n", + "\t45 & 50 & 1000 & 0.5 & 20.0 & 0.07 & 2.33 ( 0.14 ) & 35.29 ( 1.69 ) & 2.53 ( 0.1 ) & 2.33 & 35.2 & 2.53 \\\\\n", + "\t61 & 50 & 1000 & 0.7 & 20.0 & 0.06 & 1.66 ( 0.09 ) & 35.91 ( 1.86 ) & 3.03 ( 0.09 ) & 1.66 & 35.9 & 3.03 \\\\\n", + "\t77 & 50 & 1000 & 0.9 & 20.0 & 0.04 & 0.94 ( 0.05 ) & 36.59 ( 3.6 ) & 3.72 ( 0.08 ) & 0.94 & 36.5 & 3.72 \\\\\n", + "\t2 & 100 & 50 & 0.1 & 0.5 & 0.23 & 0.34 ( 0.01 ) & 13.7 ( 0.66 ) & 0 ( 0 ) & 0.34 & 13.7 & 0.00 \\\\\n", + "\t18 & 100 & 50 & 0.3 & 0.5 & 0.20 & 0.34 ( 0.01 ) & 14.91 ( 0.58 ) & 0 ( 0 ) & 0.34 & 14.9 & 0.00 \\\\\n", + "\t34 & 100 & 50 & 0.5 & 0.5 & 0.21 & 0.33 ( 0.01 ) & 14.76 ( 0.55 ) & 0 ( 0 ) & 0.33 & 14.7 & 0.00 \\\\\n", + "\t50 & 100 & 50 & 0.7 & 0.5 & 0.20 & 0.35 ( 0.01 ) & 15.66 ( 0.62 ) & 0 ( 0 ) & 0.35 & 15.6 & 0.00 \\\\\n", + "\t66 & 100 & 50 & 0.9 & 0.5 & 0.21 & 0.35 ( 0.01 ) & 14 ( 0.69 ) & 0.27 ( 0.06 ) & 0.35 & 14.0 & 0.27 \\\\\n", + "\t6 & 100 & 100 & 0.1 & 1.0 & 0.22 & 0.38 ( 0.01 ) & 17.77 ( 0.8 ) & 0 ( 0 ) & 0.38 & 17.7 & 0.00 \\\\\n", + "\t22 & 100 & 100 & 0.3 & 1.0 & 0.19 & 0.38 ( 0.01 ) & 20.48 ( 0.85 ) & 0 ( 0 ) & 0.38 & 20.4 & 0.00 \\\\\n", + "\t38 & 100 & 100 & 0.5 & 1.0 & 0.17 & 0.41 ( 0.02 ) & 21.92 ( 0.83 ) & 0 ( 0 ) & 0.41 & 21.9 & 0.00 \\\\\n", + "\t54 & 100 & 100 & 0.7 & 1.0 & 0.18 & 0.36 ( 0.01 ) & 21.79 ( 0.78 ) & 0.01 ( 0.01 ) & 0.36 & 21.7 & 0.01 \\\\\n", + "\t70 & 100 & 100 & 0.9 & 1.0 & 0.18 & 0.4 ( 0.02 ) & 18.69 ( 0.92 ) & 0.41 ( 0.07 ) & 0.40 & 18.6 & 0.41 \\\\\n", + "\t... & ... & ... & ... & ... & ... & ... & ... & ... & ... & ... & ...\\\\\n", + "\t11 & 500 & 500 & 0.1 & 1.00 & 0.16 & 0.27 ( 0 ) & 29.38 ( 1.53 ) & 0 ( 0 ) & 0.27 & 29.3 & 0 \\\\\n", + "\t27 & 500 & 500 & 0.3 & 1.00 & 0.16 & 0.28 ( 0 ) & 30.92 ( 1.44 ) & 0 ( 0 ) & 0.28 & 30.9 & 0 \\\\\n", + "\t43 & 500 & 500 & 0.5 & 1.00 & 0.13 & 0.28 ( 0 ) & 37.1 ( 1.54 ) & 0 ( 0 ) & 0.28 & 37.1 & 0 \\\\\n", + "\t59 & 500 & 500 & 0.7 & 1.00 & 0.13 & 0.29 ( 0 ) & 38.11 ( 1.41 ) & 0 ( 0 ) & 0.29 & 38.1 & 0 \\\\\n", + "\t75 & 500 & 500 & 0.9 & 1.00 & 0.12 & 0.29 ( 0 ) & 41.14 ( 1.02 ) & 0 ( 0 ) & 0.29 & 41.1 & 0 \\\\\n", + "\t15 & 500 & 1000 & 0.1 & 2.00 & 0.14 & 0.27 ( 0 ) & 37.88 ( 2.19 ) & 0 ( 0 ) & 0.27 & 37.8 & 0 \\\\\n", + "\t31 & 500 & 1000 & 0.3 & 2.00 & 0.13 & 0.28 ( 0 ) & 38.46 ( 2.16 ) & 0 ( 0 ) & 0.28 & 38.4 & 0 \\\\\n", + "\t47 & 500 & 1000 & 0.5 & 2.00 & 0.12 & 0.29 ( 0 ) & 42.86 ( 2.28 ) & 0 ( 0 ) & 0.29 & 42.8 & 0 \\\\\n", + "\t63 & 500 & 1000 & 0.7 & 2.00 & 0.11 & 0.3 ( 0 ) & 49.45 ( 1.98 ) & 0 ( 0 ) & 0.30 & 49.4 & 0 \\\\\n", + "\t79 & 500 & 1000 & 0.9 & 2.00 & 0.09 & 0.3 ( 0 ) & 57.69 ( 1.57 ) & 0 ( 0 ) & 0.30 & 57.6 & 0 \\\\\n", + "\t4 & 1000 & 50 & 0.1 & 0.05 & 0.25 & 0.26 ( 0 ) & 12.64 ( 0.54 ) & 0 ( 0 ) & 0.26 & 12.6 & 0 \\\\\n", + "\t20 & 1000 & 50 & 0.3 & 0.05 & 0.27 & 0.26 ( 0 ) & 11.94 ( 0.43 ) & 0 ( 0 ) & 0.26 & 11.9 & 0 \\\\\n", + "\t36 & 1000 & 50 & 0.5 & 0.05 & 0.23 & 0.26 ( 0 ) & 13.4 ( 0.49 ) & 0 ( 0 ) & 0.26 & 13.4 & 0 \\\\\n", + "\t52 & 1000 & 50 & 0.7 & 0.05 & 0.26 & 0.26 ( 0 ) & 12.18 ( 0.6 ) & 0 ( 0 ) & 0.26 & 12.1 & 0 \\\\\n", + "\t68 & 1000 & 50 & 0.9 & 0.05 & 0.29 & 0.26 ( 0 ) & 12.06 ( 0.52 ) & 0 ( 0 ) & 0.26 & 12.0 & 0 \\\\\n", + "\t8 & 1000 & 100 & 0.1 & 0.10 & 0.22 & 0.26 ( 0 ) & 17.23 ( 0.72 ) & 0 ( 0 ) & 0.26 & 17.2 & 0 \\\\\n", + "\t24 & 1000 & 100 & 0.3 & 0.10 & 0.20 & 0.26 ( 0 ) & 19 ( 0.86 ) & 0 ( 0 ) & 0.26 & 19.0 & 0 \\\\\n", + "\t40 & 1000 & 100 & 0.5 & 0.10 & 0.20 & 0.26 ( 0 ) & 19.53 ( 0.66 ) & 0 ( 0 ) & 0.26 & 19.5 & 0 \\\\\n", + "\t56 & 1000 & 100 & 0.7 & 0.10 & 0.21 & 0.26 ( 0 ) & 18.91 ( 0.6 ) & 0 ( 0 ) & 0.26 & 18.9 & 0 \\\\\n", + "\t72 & 1000 & 100 & 0.9 & 0.10 & 0.26 & 0.26 ( 0 ) & 16.05 ( 0.62 ) & 0 ( 0 ) & 0.26 & 16.0 & 0 \\\\\n", + "\t12 & 1000 & 500 & 0.1 & 0.50 & 0.18 & 0.27 ( 0 ) & 26.73 ( 1.56 ) & 0 ( 0 ) & 0.27 & 26.7 & 0 \\\\\n", + "\t28 & 1000 & 500 & 0.3 & 0.50 & 0.16 & 0.26 ( 0 ) & 30.61 ( 1.55 ) & 0 ( 0 ) & 0.26 & 30.6 & 0 \\\\\n", + "\t44 & 1000 & 500 & 0.5 & 0.50 & 0.13 & 0.27 ( 0 ) & 36.71 ( 1.5 ) & 0 ( 0 ) & 0.27 & 36.7 & 0 \\\\\n", + "\t60 & 1000 & 500 & 0.7 & 0.50 & 0.13 & 0.27 ( 0 ) & 38.16 ( 1.26 ) & 0 ( 0 ) & 0.27 & 38.1 & 0 \\\\\n", + "\t76 & 1000 & 500 & 0.9 & 0.50 & 0.13 & 0.27 ( 0 ) & 39.21 ( 0.84 ) & 0 ( 0 ) & 0.27 & 39.2 & 0 \\\\\n", + "\t16 & 1000 & 1000 & 0.1 & 1.00 & 0.16 & 0.26 ( 0 ) & 31.4 ( 1.69 ) & 0 ( 0 ) & 0.26 & 31.4 & 0 \\\\\n", + "\t32 & 1000 & 1000 & 0.3 & 1.00 & 0.13 & 0.27 ( 0 ) & 38.29 ( 2.09 ) & 0 ( 0 ) & 0.27 & 38.2 & 0 \\\\\n", + "\t48 & 1000 & 1000 & 0.5 & 1.00 & 0.13 & 0.27 ( 0 ) & 41.01 ( 1.99 ) & 0 ( 0 ) & 0.27 & 41.0 & 0 \\\\\n", + "\t64 & 1000 & 1000 & 0.7 & 1.00 & 0.11 & 0.27 ( 0 ) & 48.15 ( 1.76 ) & 0 ( 0 ) & 0.27 & 48.1 & 0 \\\\\n", + "\t80 & 1000 & 1000 & 0.9 & 1.00 & 0.10 & 0.27 ( 0 ) & 52.35 ( 1.6 ) & 0 ( 0 ) & 0.27 & 52.3 & 0 \\\\\n", + "\\end{tabular}\n" + ], + "text/markdown": [ + "\n", + "| | N | P | Corr | Ratio | Stab | MSE | FP | FN | MSE_mean | FP_mean | FN_mean |\n", + "|---|---|---|---|---|---|---|---|---|---|---|---|\n", + "| 1 | 50 | 50 | 0.1 | 1.0 | 0.21 | 0.6 ( 0.03 ) | 14.72 ( 0.57 ) | 0.01 ( 0.01 ) | 0.60 | 14.7 | 0.01 |\n", + "| 17 | 50 | 50 | 0.3 | 1.0 | 0.21 | 0.53 ( 0.03 ) | 14.65 ( 0.58 ) | 0.03 ( 0.02 ) | 0.53 | 14.6 | 0.03 |\n", + "| 33 | 50 | 50 | 0.5 | 1.0 | 0.20 | 0.57 ( 0.04 ) | 14.64 ( 0.66 ) | 0.09 ( 0.03 ) | 0.57 | 14.6 | 0.09 |\n", + "| 49 | 50 | 50 | 0.7 | 1.0 | 0.18 | 0.6 ( 0.04 ) | 15.25 ( 0.54 ) | 0.25 ( 0.05 ) | 0.60 | 15.2 | 0.25 |\n", + "| 65 | 50 | 50 | 0.9 | 1.0 | 0.16 | 0.5 ( 0.02 ) | 13.26 ( 0.77 ) | 1.03 ( 0.11 ) | 0.50 | 13.2 | 1.03 |\n", + "| 5 | 50 | 100 | 0.1 | 2.0 | 0.20 | 0.69 ( 0.05 ) | 19.33 ( 0.67 ) | 0 ( 0 ) | 0.69 | 19.3 | 0.00 |\n", + "| 21 | 50 | 100 | 0.3 | 2.0 | 0.19 | 0.72 ( 0.04 ) | 19.67 ( 0.66 ) | 0.08 ( 0.03 ) | 0.72 | 19.6 | 0.08 |\n", + "| 37 | 50 | 100 | 0.5 | 2.0 | 0.17 | 0.8 ( 0.04 ) | 20.05 ( 0.68 ) | 0.34 ( 0.06 ) | 0.80 | 20.0 | 0.34 |\n", + "| 53 | 50 | 100 | 0.7 | 2.0 | 0.15 | 0.81 ( 0.04 ) | 19.25 ( 0.81 ) | 0.79 ( 0.09 ) | 0.81 | 19.2 | 0.79 |\n", + "| 69 | 50 | 100 | 0.9 | 2.0 | 0.15 | 0.56 ( 0.03 ) | 15.35 ( 0.8 ) | 1.83 ( 0.12 ) | 0.56 | 15.3 | 1.83 |\n", + "| 9 | 50 | 500 | 0.1 | 10.0 | 0.13 | 1.74 ( 0.11 ) | 29.67 ( 1.23 ) | 0.63 ( 0.07 ) | 1.74 | 29.6 | 0.63 |\n", + "| 25 | 50 | 500 | 0.3 | 10.0 | 0.10 | 1.94 ( 0.12 ) | 32.52 ( 1.94 ) | 1.33 ( 0.1 ) | 1.94 | 32.5 | 1.33 |\n", + "| 41 | 50 | 500 | 0.5 | 10.0 | 0.09 | 1.86 ( 0.11 ) | 29.92 ( 1.25 ) | 1.88 ( 0.1 ) | 1.86 | 29.9 | 1.88 |\n", + "| 57 | 50 | 500 | 0.7 | 10.0 | 0.09 | 1.48 ( 0.09 ) | 27.19 ( 0.95 ) | 2.71 ( 0.08 ) | 1.48 | 27.1 | 2.71 |\n", + "| 73 | 50 | 500 | 0.9 | 10.0 | 0.08 | 0.88 ( 0.04 ) | 25.11 ( 1.93 ) | 3.23 ( 0.08 ) | 0.88 | 25.1 | 3.23 |\n", + "| 13 | 50 | 1000 | 0.1 | 20.0 | 0.09 | 2.5 ( 0.16 ) | 39.01 ( 2.7 ) | 1.34 ( 0.1 ) | 2.50 | 39.0 | 1.34 |\n", + "| 29 | 50 | 1000 | 0.3 | 20.0 | 0.08 | 2.46 ( 0.17 ) | 35.99 ( 1.99 ) | 1.83 ( 0.1 ) | 2.46 | 35.9 | 1.83 |\n", + "| 45 | 50 | 1000 | 0.5 | 20.0 | 0.07 | 2.33 ( 0.14 ) | 35.29 ( 1.69 ) | 2.53 ( 0.1 ) | 2.33 | 35.2 | 2.53 |\n", + "| 61 | 50 | 1000 | 0.7 | 20.0 | 0.06 | 1.66 ( 0.09 ) | 35.91 ( 1.86 ) | 3.03 ( 0.09 ) | 1.66 | 35.9 | 3.03 |\n", + "| 77 | 50 | 1000 | 0.9 | 20.0 | 0.04 | 0.94 ( 0.05 ) | 36.59 ( 3.6 ) | 3.72 ( 0.08 ) | 0.94 | 36.5 | 3.72 |\n", + "| 2 | 100 | 50 | 0.1 | 0.5 | 0.23 | 0.34 ( 0.01 ) | 13.7 ( 0.66 ) | 0 ( 0 ) | 0.34 | 13.7 | 0.00 |\n", + "| 18 | 100 | 50 | 0.3 | 0.5 | 0.20 | 0.34 ( 0.01 ) | 14.91 ( 0.58 ) | 0 ( 0 ) | 0.34 | 14.9 | 0.00 |\n", + "| 34 | 100 | 50 | 0.5 | 0.5 | 0.21 | 0.33 ( 0.01 ) | 14.76 ( 0.55 ) | 0 ( 0 ) | 0.33 | 14.7 | 0.00 |\n", + "| 50 | 100 | 50 | 0.7 | 0.5 | 0.20 | 0.35 ( 0.01 ) | 15.66 ( 0.62 ) | 0 ( 0 ) | 0.35 | 15.6 | 0.00 |\n", + "| 66 | 100 | 50 | 0.9 | 0.5 | 0.21 | 0.35 ( 0.01 ) | 14 ( 0.69 ) | 0.27 ( 0.06 ) | 0.35 | 14.0 | 0.27 |\n", + "| 6 | 100 | 100 | 0.1 | 1.0 | 0.22 | 0.38 ( 0.01 ) | 17.77 ( 0.8 ) | 0 ( 0 ) | 0.38 | 17.7 | 0.00 |\n", + "| 22 | 100 | 100 | 0.3 | 1.0 | 0.19 | 0.38 ( 0.01 ) | 20.48 ( 0.85 ) | 0 ( 0 ) | 0.38 | 20.4 | 0.00 |\n", + "| 38 | 100 | 100 | 0.5 | 1.0 | 0.17 | 0.41 ( 0.02 ) | 21.92 ( 0.83 ) | 0 ( 0 ) | 0.41 | 21.9 | 0.00 |\n", + "| 54 | 100 | 100 | 0.7 | 1.0 | 0.18 | 0.36 ( 0.01 ) | 21.79 ( 0.78 ) | 0.01 ( 0.01 ) | 0.36 | 21.7 | 0.01 |\n", + "| 70 | 100 | 100 | 0.9 | 1.0 | 0.18 | 0.4 ( 0.02 ) | 18.69 ( 0.92 ) | 0.41 ( 0.07 ) | 0.40 | 18.6 | 0.41 |\n", + "| ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... |\n", + "| 11 | 500 | 500 | 0.1 | 1.00 | 0.16 | 0.27 ( 0 ) | 29.38 ( 1.53 ) | 0 ( 0 ) | 0.27 | 29.3 | 0 |\n", + "| 27 | 500 | 500 | 0.3 | 1.00 | 0.16 | 0.28 ( 0 ) | 30.92 ( 1.44 ) | 0 ( 0 ) | 0.28 | 30.9 | 0 |\n", + "| 43 | 500 | 500 | 0.5 | 1.00 | 0.13 | 0.28 ( 0 ) | 37.1 ( 1.54 ) | 0 ( 0 ) | 0.28 | 37.1 | 0 |\n", + "| 59 | 500 | 500 | 0.7 | 1.00 | 0.13 | 0.29 ( 0 ) | 38.11 ( 1.41 ) | 0 ( 0 ) | 0.29 | 38.1 | 0 |\n", + "| 75 | 500 | 500 | 0.9 | 1.00 | 0.12 | 0.29 ( 0 ) | 41.14 ( 1.02 ) | 0 ( 0 ) | 0.29 | 41.1 | 0 |\n", + "| 15 | 500 | 1000 | 0.1 | 2.00 | 0.14 | 0.27 ( 0 ) | 37.88 ( 2.19 ) | 0 ( 0 ) | 0.27 | 37.8 | 0 |\n", + "| 31 | 500 | 1000 | 0.3 | 2.00 | 0.13 | 0.28 ( 0 ) | 38.46 ( 2.16 ) | 0 ( 0 ) | 0.28 | 38.4 | 0 |\n", + "| 47 | 500 | 1000 | 0.5 | 2.00 | 0.12 | 0.29 ( 0 ) | 42.86 ( 2.28 ) | 0 ( 0 ) | 0.29 | 42.8 | 0 |\n", + "| 63 | 500 | 1000 | 0.7 | 2.00 | 0.11 | 0.3 ( 0 ) | 49.45 ( 1.98 ) | 0 ( 0 ) | 0.30 | 49.4 | 0 |\n", + "| 79 | 500 | 1000 | 0.9 | 2.00 | 0.09 | 0.3 ( 0 ) | 57.69 ( 1.57 ) | 0 ( 0 ) | 0.30 | 57.6 | 0 |\n", + "| 4 | 1000 | 50 | 0.1 | 0.05 | 0.25 | 0.26 ( 0 ) | 12.64 ( 0.54 ) | 0 ( 0 ) | 0.26 | 12.6 | 0 |\n", + "| 20 | 1000 | 50 | 0.3 | 0.05 | 0.27 | 0.26 ( 0 ) | 11.94 ( 0.43 ) | 0 ( 0 ) | 0.26 | 11.9 | 0 |\n", + "| 36 | 1000 | 50 | 0.5 | 0.05 | 0.23 | 0.26 ( 0 ) | 13.4 ( 0.49 ) | 0 ( 0 ) | 0.26 | 13.4 | 0 |\n", + "| 52 | 1000 | 50 | 0.7 | 0.05 | 0.26 | 0.26 ( 0 ) | 12.18 ( 0.6 ) | 0 ( 0 ) | 0.26 | 12.1 | 0 |\n", + "| 68 | 1000 | 50 | 0.9 | 0.05 | 0.29 | 0.26 ( 0 ) | 12.06 ( 0.52 ) | 0 ( 0 ) | 0.26 | 12.0 | 0 |\n", + "| 8 | 1000 | 100 | 0.1 | 0.10 | 0.22 | 0.26 ( 0 ) | 17.23 ( 0.72 ) | 0 ( 0 ) | 0.26 | 17.2 | 0 |\n", + "| 24 | 1000 | 100 | 0.3 | 0.10 | 0.20 | 0.26 ( 0 ) | 19 ( 0.86 ) | 0 ( 0 ) | 0.26 | 19.0 | 0 |\n", + "| 40 | 1000 | 100 | 0.5 | 0.10 | 0.20 | 0.26 ( 0 ) | 19.53 ( 0.66 ) | 0 ( 0 ) | 0.26 | 19.5 | 0 |\n", + "| 56 | 1000 | 100 | 0.7 | 0.10 | 0.21 | 0.26 ( 0 ) | 18.91 ( 0.6 ) | 0 ( 0 ) | 0.26 | 18.9 | 0 |\n", + "| 72 | 1000 | 100 | 0.9 | 0.10 | 0.26 | 0.26 ( 0 ) | 16.05 ( 0.62 ) | 0 ( 0 ) | 0.26 | 16.0 | 0 |\n", + "| 12 | 1000 | 500 | 0.1 | 0.50 | 0.18 | 0.27 ( 0 ) | 26.73 ( 1.56 ) | 0 ( 0 ) | 0.27 | 26.7 | 0 |\n", + "| 28 | 1000 | 500 | 0.3 | 0.50 | 0.16 | 0.26 ( 0 ) | 30.61 ( 1.55 ) | 0 ( 0 ) | 0.26 | 30.6 | 0 |\n", + "| 44 | 1000 | 500 | 0.5 | 0.50 | 0.13 | 0.27 ( 0 ) | 36.71 ( 1.5 ) | 0 ( 0 ) | 0.27 | 36.7 | 0 |\n", + "| 60 | 1000 | 500 | 0.7 | 0.50 | 0.13 | 0.27 ( 0 ) | 38.16 ( 1.26 ) | 0 ( 0 ) | 0.27 | 38.1 | 0 |\n", + "| 76 | 1000 | 500 | 0.9 | 0.50 | 0.13 | 0.27 ( 0 ) | 39.21 ( 0.84 ) | 0 ( 0 ) | 0.27 | 39.2 | 0 |\n", + "| 16 | 1000 | 1000 | 0.1 | 1.00 | 0.16 | 0.26 ( 0 ) | 31.4 ( 1.69 ) | 0 ( 0 ) | 0.26 | 31.4 | 0 |\n", + "| 32 | 1000 | 1000 | 0.3 | 1.00 | 0.13 | 0.27 ( 0 ) | 38.29 ( 2.09 ) | 0 ( 0 ) | 0.27 | 38.2 | 0 |\n", + "| 48 | 1000 | 1000 | 0.5 | 1.00 | 0.13 | 0.27 ( 0 ) | 41.01 ( 1.99 ) | 0 ( 0 ) | 0.27 | 41.0 | 0 |\n", + "| 64 | 1000 | 1000 | 0.7 | 1.00 | 0.11 | 0.27 ( 0 ) | 48.15 ( 1.76 ) | 0 ( 0 ) | 0.27 | 48.1 | 0 |\n", + "| 80 | 1000 | 1000 | 0.9 | 1.00 | 0.10 | 0.27 ( 0 ) | 52.35 ( 1.6 ) | 0 ( 0 ) | 0.27 | 52.3 | 0 |\n", + "\n" + ], + "text/plain": [ + " N P Corr Ratio Stab MSE FP FN \n", + "1 50 50 0.1 1.0 0.21 0.6 ( 0.03 ) 14.72 ( 0.57 ) 0.01 ( 0.01 )\n", + "17 50 50 0.3 1.0 0.21 0.53 ( 0.03 ) 14.65 ( 0.58 ) 0.03 ( 0.02 )\n", + "33 50 50 0.5 1.0 0.20 0.57 ( 0.04 ) 14.64 ( 0.66 ) 0.09 ( 0.03 )\n", + "49 50 50 0.7 1.0 0.18 0.6 ( 0.04 ) 15.25 ( 0.54 ) 0.25 ( 0.05 )\n", + "65 50 50 0.9 1.0 0.16 0.5 ( 0.02 ) 13.26 ( 0.77 ) 1.03 ( 0.11 )\n", + "5 50 100 0.1 2.0 0.20 0.69 ( 0.05 ) 19.33 ( 0.67 ) 0 ( 0 ) \n", + "21 50 100 0.3 2.0 0.19 0.72 ( 0.04 ) 19.67 ( 0.66 ) 0.08 ( 0.03 )\n", + "37 50 100 0.5 2.0 0.17 0.8 ( 0.04 ) 20.05 ( 0.68 ) 0.34 ( 0.06 )\n", + "53 50 100 0.7 2.0 0.15 0.81 ( 0.04 ) 19.25 ( 0.81 ) 0.79 ( 0.09 )\n", + "69 50 100 0.9 2.0 0.15 0.56 ( 0.03 ) 15.35 ( 0.8 ) 1.83 ( 0.12 )\n", + "9 50 500 0.1 10.0 0.13 1.74 ( 0.11 ) 29.67 ( 1.23 ) 0.63 ( 0.07 )\n", + "25 50 500 0.3 10.0 0.10 1.94 ( 0.12 ) 32.52 ( 1.94 ) 1.33 ( 0.1 ) \n", + "41 50 500 0.5 10.0 0.09 1.86 ( 0.11 ) 29.92 ( 1.25 ) 1.88 ( 0.1 ) \n", + "57 50 500 0.7 10.0 0.09 1.48 ( 0.09 ) 27.19 ( 0.95 ) 2.71 ( 0.08 )\n", + "73 50 500 0.9 10.0 0.08 0.88 ( 0.04 ) 25.11 ( 1.93 ) 3.23 ( 0.08 )\n", + "13 50 1000 0.1 20.0 0.09 2.5 ( 0.16 ) 39.01 ( 2.7 ) 1.34 ( 0.1 ) \n", + "29 50 1000 0.3 20.0 0.08 2.46 ( 0.17 ) 35.99 ( 1.99 ) 1.83 ( 0.1 ) \n", + "45 50 1000 0.5 20.0 0.07 2.33 ( 0.14 ) 35.29 ( 1.69 ) 2.53 ( 0.1 ) \n", + "61 50 1000 0.7 20.0 0.06 1.66 ( 0.09 ) 35.91 ( 1.86 ) 3.03 ( 0.09 )\n", + "77 50 1000 0.9 20.0 0.04 0.94 ( 0.05 ) 36.59 ( 3.6 ) 3.72 ( 0.08 )\n", + "2 100 50 0.1 0.5 0.23 0.34 ( 0.01 ) 13.7 ( 0.66 ) 0 ( 0 ) \n", + "18 100 50 0.3 0.5 0.20 0.34 ( 0.01 ) 14.91 ( 0.58 ) 0 ( 0 ) \n", + "34 100 50 0.5 0.5 0.21 0.33 ( 0.01 ) 14.76 ( 0.55 ) 0 ( 0 ) \n", + "50 100 50 0.7 0.5 0.20 0.35 ( 0.01 ) 15.66 ( 0.62 ) 0 ( 0 ) \n", + "66 100 50 0.9 0.5 0.21 0.35 ( 0.01 ) 14 ( 0.69 ) 0.27 ( 0.06 )\n", + "6 100 100 0.1 1.0 0.22 0.38 ( 0.01 ) 17.77 ( 0.8 ) 0 ( 0 ) \n", + "22 100 100 0.3 1.0 0.19 0.38 ( 0.01 ) 20.48 ( 0.85 ) 0 ( 0 ) \n", + "38 100 100 0.5 1.0 0.17 0.41 ( 0.02 ) 21.92 ( 0.83 ) 0 ( 0 ) \n", + "54 100 100 0.7 1.0 0.18 0.36 ( 0.01 ) 21.79 ( 0.78 ) 0.01 ( 0.01 )\n", + "70 100 100 0.9 1.0 0.18 0.4 ( 0.02 ) 18.69 ( 0.92 ) 0.41 ( 0.07 )\n", + "... ... ... ... ... ... ... ... ... \n", + "11 500 500 0.1 1.00 0.16 0.27 ( 0 ) 29.38 ( 1.53 ) 0 ( 0 ) \n", + "27 500 500 0.3 1.00 0.16 0.28 ( 0 ) 30.92 ( 1.44 ) 0 ( 0 ) \n", + "43 500 500 0.5 1.00 0.13 0.28 ( 0 ) 37.1 ( 1.54 ) 0 ( 0 ) \n", + "59 500 500 0.7 1.00 0.13 0.29 ( 0 ) 38.11 ( 1.41 ) 0 ( 0 ) \n", + "75 500 500 0.9 1.00 0.12 0.29 ( 0 ) 41.14 ( 1.02 ) 0 ( 0 ) \n", + "15 500 1000 0.1 2.00 0.14 0.27 ( 0 ) 37.88 ( 2.19 ) 0 ( 0 ) \n", + "31 500 1000 0.3 2.00 0.13 0.28 ( 0 ) 38.46 ( 2.16 ) 0 ( 0 ) \n", + "47 500 1000 0.5 2.00 0.12 0.29 ( 0 ) 42.86 ( 2.28 ) 0 ( 0 ) \n", + "63 500 1000 0.7 2.00 0.11 0.3 ( 0 ) 49.45 ( 1.98 ) 0 ( 0 ) \n", + "79 500 1000 0.9 2.00 0.09 0.3 ( 0 ) 57.69 ( 1.57 ) 0 ( 0 ) \n", + "4 1000 50 0.1 0.05 0.25 0.26 ( 0 ) 12.64 ( 0.54 ) 0 ( 0 ) \n", + "20 1000 50 0.3 0.05 0.27 0.26 ( 0 ) 11.94 ( 0.43 ) 0 ( 0 ) \n", + "36 1000 50 0.5 0.05 0.23 0.26 ( 0 ) 13.4 ( 0.49 ) 0 ( 0 ) \n", + "52 1000 50 0.7 0.05 0.26 0.26 ( 0 ) 12.18 ( 0.6 ) 0 ( 0 ) \n", + "68 1000 50 0.9 0.05 0.29 0.26 ( 0 ) 12.06 ( 0.52 ) 0 ( 0 ) \n", + "8 1000 100 0.1 0.10 0.22 0.26 ( 0 ) 17.23 ( 0.72 ) 0 ( 0 ) \n", + "24 1000 100 0.3 0.10 0.20 0.26 ( 0 ) 19 ( 0.86 ) 0 ( 0 ) \n", + "40 1000 100 0.5 0.10 0.20 0.26 ( 0 ) 19.53 ( 0.66 ) 0 ( 0 ) \n", + "56 1000 100 0.7 0.10 0.21 0.26 ( 0 ) 18.91 ( 0.6 ) 0 ( 0 ) \n", + "72 1000 100 0.9 0.10 0.26 0.26 ( 0 ) 16.05 ( 0.62 ) 0 ( 0 ) \n", + "12 1000 500 0.1 0.50 0.18 0.27 ( 0 ) 26.73 ( 1.56 ) 0 ( 0 ) \n", + "28 1000 500 0.3 0.50 0.16 0.26 ( 0 ) 30.61 ( 1.55 ) 0 ( 0 ) \n", + "44 1000 500 0.5 0.50 0.13 0.27 ( 0 ) 36.71 ( 1.5 ) 0 ( 0 ) \n", + "60 1000 500 0.7 0.50 0.13 0.27 ( 0 ) 38.16 ( 1.26 ) 0 ( 0 ) \n", + "76 1000 500 0.9 0.50 0.13 0.27 ( 0 ) 39.21 ( 0.84 ) 0 ( 0 ) \n", + "16 1000 1000 0.1 1.00 0.16 0.26 ( 0 ) 31.4 ( 1.69 ) 0 ( 0 ) \n", + "32 1000 1000 0.3 1.00 0.13 0.27 ( 0 ) 38.29 ( 2.09 ) 0 ( 0 ) \n", + "48 1000 1000 0.5 1.00 0.13 0.27 ( 0 ) 41.01 ( 1.99 ) 0 ( 0 ) \n", + "64 1000 1000 0.7 1.00 0.11 0.27 ( 0 ) 48.15 ( 1.76 ) 0 ( 0 ) \n", + "80 1000 1000 0.9 1.00 0.10 0.27 ( 0 ) 52.35 ( 1.6 ) 0 ( 0 ) \n", + " MSE_mean FP_mean FN_mean\n", + "1 0.60 14.7 0.01 \n", + "17 0.53 14.6 0.03 \n", + "33 0.57 14.6 0.09 \n", + "49 0.60 15.2 0.25 \n", + "65 0.50 13.2 1.03 \n", + "5 0.69 19.3 0.00 \n", + "21 0.72 19.6 0.08 \n", + "37 0.80 20.0 0.34 \n", + "53 0.81 19.2 0.79 \n", + "69 0.56 15.3 1.83 \n", + "9 1.74 29.6 0.63 \n", + "25 1.94 32.5 1.33 \n", + "41 1.86 29.9 1.88 \n", + "57 1.48 27.1 2.71 \n", + "73 0.88 25.1 3.23 \n", + "13 2.50 39.0 1.34 \n", + "29 2.46 35.9 1.83 \n", + "45 2.33 35.2 2.53 \n", + "61 1.66 35.9 3.03 \n", + "77 0.94 36.5 3.72 \n", + "2 0.34 13.7 0.00 \n", + "18 0.34 14.9 0.00 \n", + "34 0.33 14.7 0.00 \n", + "50 0.35 15.6 0.00 \n", + "66 0.35 14.0 0.27 \n", + "6 0.38 17.7 0.00 \n", + "22 0.38 20.4 0.00 \n", + "38 0.41 21.9 0.00 \n", + "54 0.36 21.7 0.01 \n", + "70 0.40 18.6 0.41 \n", + "... ... ... ... \n", + "11 0.27 29.3 0 \n", + "27 0.28 30.9 0 \n", + "43 0.28 37.1 0 \n", + "59 0.29 38.1 0 \n", + "75 0.29 41.1 0 \n", + "15 0.27 37.8 0 \n", + "31 0.28 38.4 0 \n", + "47 0.29 42.8 0 \n", + "63 0.30 49.4 0 \n", + "79 0.30 57.6 0 \n", + "4 0.26 12.6 0 \n", + "20 0.26 11.9 0 \n", + "36 0.26 13.4 0 \n", + "52 0.26 12.1 0 \n", + "68 0.26 12.0 0 \n", + "8 0.26 17.2 0 \n", + "24 0.26 19.0 0 \n", + "40 0.26 19.5 0 \n", + "56 0.26 18.9 0 \n", + "72 0.26 16.0 0 \n", + "12 0.27 26.7 0 \n", + "28 0.26 30.6 0 \n", + "44 0.27 36.7 0 \n", + "60 0.27 38.1 0 \n", + "76 0.27 39.2 0 \n", + "16 0.26 31.4 0 \n", + "32 0.27 38.2 0 \n", + "48 0.27 41.0 0 \n", + "64 0.27 48.1 0 \n", + "80 0.27 52.3 0 " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "result.table_toe[with(result.table_toe, order(N, P, Corr)),]" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "R", + "language": "R", + "name": "ir" + }, + "language_info": { + "codemirror_mode": "r", + "file_extension": ".r", + "mimetype": "text/x-r-source", + "name": "R", + "pygments_lexer": "r", + "version": "3.6.1" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/simulations/notebooks_simulations/sim_toe_lasso.ipynb b/simulations/notebooks_simulations/sim_toe_lasso.ipynb new file mode 100644 index 0000000..1fbc10b --- /dev/null +++ b/simulations/notebooks_simulations/sim_toe_lasso.ipynb @@ -0,0 +1,1219 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "load('../sim_data/toe_Lasso.RData')" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "dir = '../sim_data'\n", + "dim.list = list()\n", + "size = c(50, 100, 500, 1000)\n", + "idx = 0\n", + "for (P in size){\n", + " for (N in size){\n", + " idx = idx + 1\n", + " dim.list[[idx]] = c(P=P, N=N)\n", + " }\n", + "}\n", + "\n", + "rou.list = seq(0.1, 0.9, 0.2)\n", + "\n", + "files = NULL\n", + "for (rou in rou.list){\n", + " for (dim in dim.list){\n", + " p = dim[1]\n", + " n = dim[2]\n", + " files = cbind(files, paste0(dir, '/sim_toeplitz_corr', rou, paste('P', p, 'N', n, sep='_'), '.RData', sep=''))\n", + " }\n", + "}" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "avg_FDR = NULL\n", + "for (i in 1:length(files)){\n", + " sim_file = files[i]\n", + " load(sim_file, dat <- new.env())\n", + " sub = dat$sim_array[[i]]\n", + " p = sub$p # take true values from 1st replicate of each simulated data\n", + " coef = sub$beta\n", + " coef.true = which(coef != 0)\n", + " \n", + " tt = results_toe_lasso[[i]]$Stab.table\n", + " \n", + " FDR = NULL\n", + " for (r in 1:nrow(tt)){\n", + " FDR = c(FDR, length(setdiff(which(tt[r, ] !=0), coef.true))/sum(tt[r, ]))\n", + "\n", + " }\n", + " \n", + " avg_FDR = c(avg_FDR, mean(FDR, na.rm=T))\n", + "}" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "table_toe = NULL\n", + "tmp_num_select = rep(0, length(results_toe_lasso))\n", + "for (i in 1:length(results_toe_lasso)){\n", + " table_toe = rbind(table_toe, results_toe_lasso[[i]][c('n', 'p', 'rou', 'FP', 'FN', 'MSE', 'Stab')])\n", + " tmp_num_select[i] = mean(rowSums(results_toe_lasso[[i]]$Stab.table))\n", + " \n", + "}\n", + "table_toe = as.data.frame(table_toe)\n", + "table_toe$num_select = tmp_num_select\n", + "table_toe$FDR = round(avg_FDR,2)" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", + "\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\n", + "
    nprouFPFNMSEStabnum_selectFDR
    50 50 0.1 8.59 ( 0.46 )0.02 ( 0.01 )0.62 ( 0.04 )0.36 13.57 0.51
    100 50 0.1 6.3 ( 0.43 ) 0 ( 0 ) 0.37 ( 0.01 )0.47 11.30 0.40
    500 50 0.1 2.88 ( 0.21 )0 ( 0 ) 0.28 ( 0 ) 0.73 7.88 0.20
    1000 50 0.1 1.66 ( 0.11 )0 ( 0 ) 0.27 ( 0 ) 0.89 6.66 0.08
    50 100 0.1 11.84 ( 0.4 )0 ( 0 ) 0.67 ( 0.05 )0.32 16.84 0.62
    100 100 0.1 7.71 ( 0.56 )0 ( 0 ) 0.4 ( 0.01 ) 0.44 12.71 0.46
    \n" + ], + "text/latex": [ + "\\begin{tabular}{r|lllllllll}\n", + " n & p & rou & FP & FN & MSE & Stab & num\\_select & FDR\\\\\n", + "\\hline\n", + "\t 50 & 50 & 0.1 & 8.59 ( 0.46 ) & 0.02 ( 0.01 ) & 0.62 ( 0.04 ) & 0.36 & 13.57 & 0.51 \\\\\n", + "\t 100 & 50 & 0.1 & 6.3 ( 0.43 ) & 0 ( 0 ) & 0.37 ( 0.01 ) & 0.47 & 11.30 & 0.40 \\\\\n", + "\t 500 & 50 & 0.1 & 2.88 ( 0.21 ) & 0 ( 0 ) & 0.28 ( 0 ) & 0.73 & 7.88 & 0.20 \\\\\n", + "\t 1000 & 50 & 0.1 & 1.66 ( 0.11 ) & 0 ( 0 ) & 0.27 ( 0 ) & 0.89 & 6.66 & 0.08 \\\\\n", + "\t 50 & 100 & 0.1 & 11.84 ( 0.4 ) & 0 ( 0 ) & 0.67 ( 0.05 ) & 0.32 & 16.84 & 0.62 \\\\\n", + "\t 100 & 100 & 0.1 & 7.71 ( 0.56 ) & 0 ( 0 ) & 0.4 ( 0.01 ) & 0.44 & 12.71 & 0.46 \\\\\n", + "\\end{tabular}\n" + ], + "text/markdown": [ + "\n", + "| n | p | rou | FP | FN | MSE | Stab | num_select | FDR |\n", + "|---|---|---|---|---|---|---|---|---|\n", + "| 50 | 50 | 0.1 | 8.59 ( 0.46 ) | 0.02 ( 0.01 ) | 0.62 ( 0.04 ) | 0.36 | 13.57 | 0.51 |\n", + "| 100 | 50 | 0.1 | 6.3 ( 0.43 ) | 0 ( 0 ) | 0.37 ( 0.01 ) | 0.47 | 11.30 | 0.40 |\n", + "| 500 | 50 | 0.1 | 2.88 ( 0.21 ) | 0 ( 0 ) | 0.28 ( 0 ) | 0.73 | 7.88 | 0.20 |\n", + "| 1000 | 50 | 0.1 | 1.66 ( 0.11 ) | 0 ( 0 ) | 0.27 ( 0 ) | 0.89 | 6.66 | 0.08 |\n", + "| 50 | 100 | 0.1 | 11.84 ( 0.4 ) | 0 ( 0 ) | 0.67 ( 0.05 ) | 0.32 | 16.84 | 0.62 |\n", + "| 100 | 100 | 0.1 | 7.71 ( 0.56 ) | 0 ( 0 ) | 0.4 ( 0.01 ) | 0.44 | 12.71 | 0.46 |\n", + "\n" + ], + "text/plain": [ + " n p rou FP FN MSE Stab num_select FDR \n", + "1 50 50 0.1 8.59 ( 0.46 ) 0.02 ( 0.01 ) 0.62 ( 0.04 ) 0.36 13.57 0.51\n", + "2 100 50 0.1 6.3 ( 0.43 ) 0 ( 0 ) 0.37 ( 0.01 ) 0.47 11.30 0.40\n", + "3 500 50 0.1 2.88 ( 0.21 ) 0 ( 0 ) 0.28 ( 0 ) 0.73 7.88 0.20\n", + "4 1000 50 0.1 1.66 ( 0.11 ) 0 ( 0 ) 0.27 ( 0 ) 0.89 6.66 0.08\n", + "5 50 100 0.1 11.84 ( 0.4 ) 0 ( 0 ) 0.67 ( 0.05 ) 0.32 16.84 0.62\n", + "6 100 100 0.1 7.71 ( 0.56 ) 0 ( 0 ) 0.4 ( 0.01 ) 0.44 12.71 0.46" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "head(table_toe)" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "extract_numeric() is deprecated: please use readr::parse_number() instead\n", + "extract_numeric() is deprecated: please use readr::parse_number() instead\n" + ] + } + ], + "source": [ + "# export result\n", + "result.table_toe <- apply(table_toe,2,as.character)\n", + "rownames(result.table_toe) = rownames(table_toe)\n", + "result.table_toe = as.data.frame(result.table_toe)\n", + "\n", + "# extract numbers only for 'n' & 'p'\n", + "result.table_toe$n = tidyr::extract_numeric(result.table_toe$n)\n", + "result.table_toe$p = tidyr::extract_numeric(result.table_toe$p)\n", + "result.table_toe$ratio = result.table_toe$p / result.table_toe$n\n", + "\n", + "result.table_toe = result.table_toe[c('n', 'p', 'rou', 'ratio', 'Stab', 'MSE', 'FP', 'FN', 'num_select', 'FDR')]\n", + "colnames(result.table_toe)[1:4] = c('N', 'P', 'Corr', 'Ratio')" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Warning message in eval(expr, envir, enclos):\n", + "“NAs introduced by coercion”Warning message in eval(expr, envir, enclos):\n", + "“NAs introduced by coercion”" + ] + } + ], + "source": [ + "# convert interested measurements to be numeric\n", + "result.table_toe$Stab = as.numeric(as.character(result.table_toe$Stab))\n", + "result.table_toe$MSE_mean = as.numeric(substr(result.table_toe$MSE, start=1, stop=4))\n", + "result.table_toe$FP_mean = as.numeric(substr(result.table_toe$FP, start=1, stop=4))\n", + "result.table_toe$FN_mean = as.numeric(substr(result.table_toe$FN, start=1, stop=4))\n", + "result.table_toe$FN_mean[is.na(result.table_toe$FN_mean)] = 0\n", + "result.table_toe$num_select = as.numeric(as.character(result.table_toe$num_select))" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", + "\n", + "\t\n", + "\n", + "
    NPCorrRatioStabMSEFPFNnum_selectFDRMSE_meanFP_meanFN_mean
    38100 100 0.5 1 0.36 0.44 ( 0.02 )10 ( 0.48 ) 0.02 ( 0.01 )14.98 0.56 0.44 NA 0.02
    \n" + ], + "text/latex": [ + "\\begin{tabular}{r|lllllllllllll}\n", + " & N & P & Corr & Ratio & Stab & MSE & FP & FN & num\\_select & FDR & MSE\\_mean & FP\\_mean & FN\\_mean\\\\\n", + "\\hline\n", + "\t38 & 100 & 100 & 0.5 & 1 & 0.36 & 0.44 ( 0.02 ) & 10 ( 0.48 ) & 0.02 ( 0.01 ) & 14.98 & 0.56 & 0.44 & NA & 0.02 \\\\\n", + "\\end{tabular}\n" + ], + "text/markdown": [ + "\n", + "| | N | P | Corr | Ratio | Stab | MSE | FP | FN | num_select | FDR | MSE_mean | FP_mean | FN_mean |\n", + "|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n", + "| 38 | 100 | 100 | 0.5 | 1 | 0.36 | 0.44 ( 0.02 ) | 10 ( 0.48 ) | 0.02 ( 0.01 ) | 14.98 | 0.56 | 0.44 | NA | 0.02 |\n", + "\n" + ], + "text/plain": [ + " N P Corr Ratio Stab MSE FP FN num_select\n", + "38 100 100 0.5 1 0.36 0.44 ( 0.02 ) 10 ( 0.48 ) 0.02 ( 0.01 ) 14.98 \n", + " FDR MSE_mean FP_mean FN_mean\n", + "38 0.56 0.44 NA 0.02 " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# check whether missing values exists\n", + "result.table_toe[rowSums(is.na(result.table_toe)) > 0,]" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [], + "source": [ + "# recover values\n", + "result.table_toe$FP_mean[is.na(result.table_toe$FP_mean)] = 10" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", + "\n", + "\t\n", + "\n", + "
    NPCorrRatioStabMSEFPFNnum_selectFDRMSE_meanFP_meanFN_mean
    38100 100 0.5 1 0.36 0.44 ( 0.02 )10 ( 0.48 ) 0.02 ( 0.01 )14.98 0.56 0.44 10 0.02
    \n" + ], + "text/latex": [ + "\\begin{tabular}{r|lllllllllllll}\n", + " & N & P & Corr & Ratio & Stab & MSE & FP & FN & num\\_select & FDR & MSE\\_mean & FP\\_mean & FN\\_mean\\\\\n", + "\\hline\n", + "\t38 & 100 & 100 & 0.5 & 1 & 0.36 & 0.44 ( 0.02 ) & 10 ( 0.48 ) & 0.02 ( 0.01 ) & 14.98 & 0.56 & 0.44 & 10 & 0.02 \\\\\n", + "\\end{tabular}\n" + ], + "text/markdown": [ + "\n", + "| | N | P | Corr | Ratio | Stab | MSE | FP | FN | num_select | FDR | MSE_mean | FP_mean | FN_mean |\n", + "|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n", + "| 38 | 100 | 100 | 0.5 | 1 | 0.36 | 0.44 ( 0.02 ) | 10 ( 0.48 ) | 0.02 ( 0.01 ) | 14.98 | 0.56 | 0.44 | 10 | 0.02 |\n", + "\n" + ], + "text/plain": [ + " N P Corr Ratio Stab MSE FP FN num_select\n", + "38 100 100 0.5 1 0.36 0.44 ( 0.02 ) 10 ( 0.48 ) 0.02 ( 0.01 ) 14.98 \n", + " FDR MSE_mean FP_mean FN_mean\n", + "38 0.56 0.44 10 0.02 " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "result.table_toe[38, ]" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", + "\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\n", + "
    NPCorrRatioStabMSEFPFNnum_selectFDRMSE_meanFP_meanFN_mean
    50 50 0.1 1.00 0.36 0.62 ( 0.04 )8.59 ( 0.46 )0.02 ( 0.01 )13.57 0.51 0.62 8.59 0.02
    100 50 0.1 0.50 0.47 0.37 ( 0.01 )6.3 ( 0.43 ) 0 ( 0 ) 11.30 0.4 0.37 6.30 0.00
    500 50 0.1 0.10 0.73 0.28 ( 0 ) 2.88 ( 0.21 )0 ( 0 ) 7.88 0.2 0.28 2.88 0.00
    1000 50 0.1 0.05 0.89 0.27 ( 0 ) 1.66 ( 0.11 )0 ( 0 ) 6.66 0.08 0.27 1.66 0.00
    50 100 0.1 2.00 0.32 0.67 ( 0.05 )11.84 ( 0.4 )0 ( 0 ) 16.84 0.62 0.67 11.80 0.00
    100 100 0.1 1.00 0.44 0.4 ( 0.01 ) 7.71 ( 0.56 )0 ( 0 ) 12.71 0.46 0.40 7.71 0.00
    \n" + ], + "text/latex": [ + "\\begin{tabular}{r|lllllllllllll}\n", + " N & P & Corr & Ratio & Stab & MSE & FP & FN & num\\_select & FDR & MSE\\_mean & FP\\_mean & FN\\_mean\\\\\n", + "\\hline\n", + "\t 50 & 50 & 0.1 & 1.00 & 0.36 & 0.62 ( 0.04 ) & 8.59 ( 0.46 ) & 0.02 ( 0.01 ) & 13.57 & 0.51 & 0.62 & 8.59 & 0.02 \\\\\n", + "\t 100 & 50 & 0.1 & 0.50 & 0.47 & 0.37 ( 0.01 ) & 6.3 ( 0.43 ) & 0 ( 0 ) & 11.30 & 0.4 & 0.37 & 6.30 & 0.00 \\\\\n", + "\t 500 & 50 & 0.1 & 0.10 & 0.73 & 0.28 ( 0 ) & 2.88 ( 0.21 ) & 0 ( 0 ) & 7.88 & 0.2 & 0.28 & 2.88 & 0.00 \\\\\n", + "\t 1000 & 50 & 0.1 & 0.05 & 0.89 & 0.27 ( 0 ) & 1.66 ( 0.11 ) & 0 ( 0 ) & 6.66 & 0.08 & 0.27 & 1.66 & 0.00 \\\\\n", + "\t 50 & 100 & 0.1 & 2.00 & 0.32 & 0.67 ( 0.05 ) & 11.84 ( 0.4 ) & 0 ( 0 ) & 16.84 & 0.62 & 0.67 & 11.80 & 0.00 \\\\\n", + "\t 100 & 100 & 0.1 & 1.00 & 0.44 & 0.4 ( 0.01 ) & 7.71 ( 0.56 ) & 0 ( 0 ) & 12.71 & 0.46 & 0.40 & 7.71 & 0.00 \\\\\n", + "\\end{tabular}\n" + ], + "text/markdown": [ + "\n", + "| N | P | Corr | Ratio | Stab | MSE | FP | FN | num_select | FDR | MSE_mean | FP_mean | FN_mean |\n", + "|---|---|---|---|---|---|---|---|---|---|---|---|---|\n", + "| 50 | 50 | 0.1 | 1.00 | 0.36 | 0.62 ( 0.04 ) | 8.59 ( 0.46 ) | 0.02 ( 0.01 ) | 13.57 | 0.51 | 0.62 | 8.59 | 0.02 |\n", + "| 100 | 50 | 0.1 | 0.50 | 0.47 | 0.37 ( 0.01 ) | 6.3 ( 0.43 ) | 0 ( 0 ) | 11.30 | 0.4 | 0.37 | 6.30 | 0.00 |\n", + "| 500 | 50 | 0.1 | 0.10 | 0.73 | 0.28 ( 0 ) | 2.88 ( 0.21 ) | 0 ( 0 ) | 7.88 | 0.2 | 0.28 | 2.88 | 0.00 |\n", + "| 1000 | 50 | 0.1 | 0.05 | 0.89 | 0.27 ( 0 ) | 1.66 ( 0.11 ) | 0 ( 0 ) | 6.66 | 0.08 | 0.27 | 1.66 | 0.00 |\n", + "| 50 | 100 | 0.1 | 2.00 | 0.32 | 0.67 ( 0.05 ) | 11.84 ( 0.4 ) | 0 ( 0 ) | 16.84 | 0.62 | 0.67 | 11.80 | 0.00 |\n", + "| 100 | 100 | 0.1 | 1.00 | 0.44 | 0.4 ( 0.01 ) | 7.71 ( 0.56 ) | 0 ( 0 ) | 12.71 | 0.46 | 0.40 | 7.71 | 0.00 |\n", + "\n" + ], + "text/plain": [ + " N P Corr Ratio Stab MSE FP FN num_select\n", + "1 50 50 0.1 1.00 0.36 0.62 ( 0.04 ) 8.59 ( 0.46 ) 0.02 ( 0.01 ) 13.57 \n", + "2 100 50 0.1 0.50 0.47 0.37 ( 0.01 ) 6.3 ( 0.43 ) 0 ( 0 ) 11.30 \n", + "3 500 50 0.1 0.10 0.73 0.28 ( 0 ) 2.88 ( 0.21 ) 0 ( 0 ) 7.88 \n", + "4 1000 50 0.1 0.05 0.89 0.27 ( 0 ) 1.66 ( 0.11 ) 0 ( 0 ) 6.66 \n", + "5 50 100 0.1 2.00 0.32 0.67 ( 0.05 ) 11.84 ( 0.4 ) 0 ( 0 ) 16.84 \n", + "6 100 100 0.1 1.00 0.44 0.4 ( 0.01 ) 7.71 ( 0.56 ) 0 ( 0 ) 12.71 \n", + " FDR MSE_mean FP_mean FN_mean\n", + "1 0.51 0.62 8.59 0.02 \n", + "2 0.4 0.37 6.30 0.00 \n", + "3 0.2 0.28 2.88 0.00 \n", + "4 0.08 0.27 1.66 0.00 \n", + "5 0.62 0.67 11.80 0.00 \n", + "6 0.46 0.40 7.71 0.00 " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "head(result.table_toe)" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", + "\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\n", + "
    NPCorrRatioStabMSEFPFNnum_selectFDRMSE_meanFP_meanFN_mean
    75 500 500 0.9 1.0 0.25 0.3 ( 0 ) 18.18 ( 0.69 )0.03 ( 0.02 ) 23.15 0.72 0.30 18.1 0.03
    761000 500 0.9 0.5 0.33 0.28 ( 0 ) 12.68 ( 0.57 )0 ( 0 ) 17.68 0.63 0.28 12.6 0.00
    77 50 1000 0.9 20.0 0.08 0.9 ( 0.05 ) 18.15 ( 0.34 )3.92 ( 0.08 ) 19.23 0.89 0.90 18.1 3.92
    78 100 1000 0.9 10.0 0.16 0.59 ( 0.02 ) 15.99 ( 0.66 )2.88 ( 0.06 ) 18.11 0.81 0.59 15.9 2.88
    79 500 1000 0.9 2.0 0.20 0.31 ( 0 ) 24.62 ( 1.01 )0.05 ( 0.02 ) 29.57 0.77 0.31 24.6 0.05
    801000 1000 0.9 1.0 0.25 0.28 ( 0 ) 18.51 ( 0.86 )0 ( 0 ) 23.51 0.71 0.28 18.5 0.00
    \n" + ], + "text/latex": [ + "\\begin{tabular}{r|lllllllllllll}\n", + " & N & P & Corr & Ratio & Stab & MSE & FP & FN & num\\_select & FDR & MSE\\_mean & FP\\_mean & FN\\_mean\\\\\n", + "\\hline\n", + "\t75 & 500 & 500 & 0.9 & 1.0 & 0.25 & 0.3 ( 0 ) & 18.18 ( 0.69 ) & 0.03 ( 0.02 ) & 23.15 & 0.72 & 0.30 & 18.1 & 0.03 \\\\\n", + "\t76 & 1000 & 500 & 0.9 & 0.5 & 0.33 & 0.28 ( 0 ) & 12.68 ( 0.57 ) & 0 ( 0 ) & 17.68 & 0.63 & 0.28 & 12.6 & 0.00 \\\\\n", + "\t77 & 50 & 1000 & 0.9 & 20.0 & 0.08 & 0.9 ( 0.05 ) & 18.15 ( 0.34 ) & 3.92 ( 0.08 ) & 19.23 & 0.89 & 0.90 & 18.1 & 3.92 \\\\\n", + "\t78 & 100 & 1000 & 0.9 & 10.0 & 0.16 & 0.59 ( 0.02 ) & 15.99 ( 0.66 ) & 2.88 ( 0.06 ) & 18.11 & 0.81 & 0.59 & 15.9 & 2.88 \\\\\n", + "\t79 & 500 & 1000 & 0.9 & 2.0 & 0.20 & 0.31 ( 0 ) & 24.62 ( 1.01 ) & 0.05 ( 0.02 ) & 29.57 & 0.77 & 0.31 & 24.6 & 0.05 \\\\\n", + "\t80 & 1000 & 1000 & 0.9 & 1.0 & 0.25 & 0.28 ( 0 ) & 18.51 ( 0.86 ) & 0 ( 0 ) & 23.51 & 0.71 & 0.28 & 18.5 & 0.00 \\\\\n", + "\\end{tabular}\n" + ], + "text/markdown": [ + "\n", + "| | N | P | Corr | Ratio | Stab | MSE | FP | FN | num_select | FDR | MSE_mean | FP_mean | FN_mean |\n", + "|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n", + "| 75 | 500 | 500 | 0.9 | 1.0 | 0.25 | 0.3 ( 0 ) | 18.18 ( 0.69 ) | 0.03 ( 0.02 ) | 23.15 | 0.72 | 0.30 | 18.1 | 0.03 |\n", + "| 76 | 1000 | 500 | 0.9 | 0.5 | 0.33 | 0.28 ( 0 ) | 12.68 ( 0.57 ) | 0 ( 0 ) | 17.68 | 0.63 | 0.28 | 12.6 | 0.00 |\n", + "| 77 | 50 | 1000 | 0.9 | 20.0 | 0.08 | 0.9 ( 0.05 ) | 18.15 ( 0.34 ) | 3.92 ( 0.08 ) | 19.23 | 0.89 | 0.90 | 18.1 | 3.92 |\n", + "| 78 | 100 | 1000 | 0.9 | 10.0 | 0.16 | 0.59 ( 0.02 ) | 15.99 ( 0.66 ) | 2.88 ( 0.06 ) | 18.11 | 0.81 | 0.59 | 15.9 | 2.88 |\n", + "| 79 | 500 | 1000 | 0.9 | 2.0 | 0.20 | 0.31 ( 0 ) | 24.62 ( 1.01 ) | 0.05 ( 0.02 ) | 29.57 | 0.77 | 0.31 | 24.6 | 0.05 |\n", + "| 80 | 1000 | 1000 | 0.9 | 1.0 | 0.25 | 0.28 ( 0 ) | 18.51 ( 0.86 ) | 0 ( 0 ) | 23.51 | 0.71 | 0.28 | 18.5 | 0.00 |\n", + "\n" + ], + "text/plain": [ + " N P Corr Ratio Stab MSE FP FN \n", + "75 500 500 0.9 1.0 0.25 0.3 ( 0 ) 18.18 ( 0.69 ) 0.03 ( 0.02 )\n", + "76 1000 500 0.9 0.5 0.33 0.28 ( 0 ) 12.68 ( 0.57 ) 0 ( 0 ) \n", + "77 50 1000 0.9 20.0 0.08 0.9 ( 0.05 ) 18.15 ( 0.34 ) 3.92 ( 0.08 )\n", + "78 100 1000 0.9 10.0 0.16 0.59 ( 0.02 ) 15.99 ( 0.66 ) 2.88 ( 0.06 )\n", + "79 500 1000 0.9 2.0 0.20 0.31 ( 0 ) 24.62 ( 1.01 ) 0.05 ( 0.02 )\n", + "80 1000 1000 0.9 1.0 0.25 0.28 ( 0 ) 18.51 ( 0.86 ) 0 ( 0 ) \n", + " num_select FDR MSE_mean FP_mean FN_mean\n", + "75 23.15 0.72 0.30 18.1 0.03 \n", + "76 17.68 0.63 0.28 12.6 0.00 \n", + "77 19.23 0.89 0.90 18.1 3.92 \n", + "78 18.11 0.81 0.59 15.9 2.88 \n", + "79 29.57 0.77 0.31 24.6 0.05 \n", + "80 23.51 0.71 0.28 18.5 0.00 " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "tail(result.table_toe)" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", + "\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\n", + "
    NPCorrRatioStabMSEFPFNnum_selectFDRMSE_meanFP_meanFN_mean
    50 50 0.1 1.00 0.36 0.62 ( 0.04 ) 8.59 ( 0.46 ) 0.02 ( 0.01 ) 13.57 0.51 0.62 8.59 0.02
    100 50 0.1 0.50 0.47 0.37 ( 0.01 ) 6.3 ( 0.43 ) 0 ( 0 ) 11.30 0.4 0.37 6.30 0.00
    500 50 0.1 0.10 0.73 0.28 ( 0 ) 2.88 ( 0.21 ) 0 ( 0 ) 7.88 0.2 0.28 2.88 0.00
    1000 50 0.1 0.05 0.89 0.27 ( 0 ) 1.66 ( 0.11 ) 0 ( 0 ) 6.66 0.08 0.27 1.66 0.00
    50 100 0.1 2.00 0.32 0.67 ( 0.05 ) 11.84 ( 0.4 ) 0 ( 0 ) 16.84 0.62 0.67 11.80 0.00
    100 100 0.1 1.00 0.44 0.4 ( 0.01 ) 7.71 ( 0.56 ) 0 ( 0 ) 12.71 0.46 0.40 7.71 0.00
    500 100 0.1 0.20 0.70 0.27 ( 0 ) 3.35 ( 0.22 ) 0 ( 0 ) 8.35 0.23 0.27 3.35 0.00
    1000 100 0.1 0.10 0.81 0.27 ( 0 ) 2.29 ( 0.23 ) 0 ( 0 ) 7.29 0.13 0.27 2.29 0.00
    50 500 0.1 10.00 0.18 1.61 ( 0.1 ) 20.85 ( 0.38 )0.69 ( 0.08 ) 25.16 0.78 1.61 20.80 0.69
    100 500 0.1 5.00 0.30 0.53 ( 0.02 ) 14.69 ( 0.7 ) 0 ( 0 ) 19.69 0.66 0.53 14.60 0.00
    500 500 0.1 1.00 0.55 0.28 ( 0 ) 5.86 ( 0.51 ) 0 ( 0 ) 10.86 0.36 0.28 5.86 0.00
    1000 500 0.1 0.50 0.78 0.28 ( 0 ) 2.69 ( 0.21 ) 0 ( 0 ) 7.69 0.17 0.28 2.69 0.00
    50 1000 0.1 20.00 0.13 2.23 ( 0.14 ) 24.37 ( 0.39 )1.36 ( 0.1 ) 28.01 0.83 2.23 24.30 1.36
    100 1000 0.1 10.00 0.25 0.57 ( 0.03 ) 18.79 ( 0.7 ) 0 ( 0 ) 23.79 0.73 0.57 18.70 0.00
    500 1000 0.1 2.00 0.49 0.28 ( 0 ) 7.08 ( 0.53 ) 0 ( 0 ) 12.08 0.41 0.28 7.08 0.00
    1000 1000 0.1 1.00 0.70 0.27 ( 0 ) 3.59 ( 0.33 ) 0 ( 0 ) 8.59 0.23 0.27 3.59 0.00
    50 50 0.3 1.00 0.35 0.57 ( 0.03 ) 8.86 ( 0.42 ) 0.05 ( 0.02 ) 13.81 0.53 0.57 8.86 0.05
    100 50 0.3 0.50 0.47 0.36 ( 0.01 ) 6.18 ( 0.36 ) 0 ( 0 ) 11.18 0.41 0.36 6.18 0.00
    500 50 0.3 0.10 0.70 0.28 ( 0 ) 3.14 ( 0.21 ) 0 ( 0 ) 8.14 0.22 0.28 3.14 0.00
    1000 50 0.3 0.05 0.86 0.27 ( 0 ) 1.86 ( 0.11 ) 0 ( 0 ) 6.86 0.11 0.27 1.86 0.00
    50 100 0.3 2.00 0.31 0.76 ( 0.04 ) 11.12 ( 0.37 )0.17 ( 0.04 ) 15.95 0.62 0.76 11.10 0.17
    100 100 0.3 1.00 0.38 0.41 ( 0.01 ) 9.43 ( 0.53 ) 0 ( 0 ) 14.43 0.54 0.41 9.43 0.00
    500 100 0.3 0.20 0.63 0.27 ( 0 ) 4.16 ( 0.27 ) 0 ( 0 ) 9.16 0.29 0.27 4.16 0.00
    1000 100 0.3 0.10 0.80 0.27 ( 0 ) 2.36 ( 0.17 ) 0 ( 0 ) 7.36 0.15 0.27 2.36 0.00
    50 500 0.3 10.00 0.14 1.78 ( 0.11 ) 21.4 ( 0.41 ) 1.39 ( 0.1 ) 25.01 0.81 1.78 21.40 1.39
    100 500 0.3 5.00 0.26 0.53 ( 0.02 ) 16.81 ( 0.77 )0.02 ( 0.01 ) 21.79 0.7 0.53 16.80 0.02
    500 500 0.3 1.00 0.55 0.29 ( 0 ) 5.89 ( 0.51 ) 0 ( 0 ) 10.89 0.36 0.29 5.89 0.00
    1000 500 0.3 0.50 0.69 0.27 ( 0 ) 3.68 ( 0.32 ) 0 ( 0 ) 8.68 0.25 0.27 3.68 0.00
    50 1000 0.3 20.00 0.11 2.21 ( 0.15 ) 25.14 ( 0.35 )1.87 ( 0.1 ) 28.27 0.85 2.21 25.10 1.87
    100 1000 0.3 10.00 0.22 0.61 ( 0.03 ) 21.11 ( 0.75 )0.02 ( 0.01 ) 26.09 0.75 0.61 21.10 0.02
    .......................................
    500 50 0.7 0.10 0.60 0.27 ( 0 ) 4.38 ( 0.21 ) 0 ( 0 ) 9.38 0.33 0.27 4.38 0.00
    1000 50 0.7 0.05 0.74 0.27 ( 0 ) 2.84 ( 0.14 ) 0 ( 0 ) 7.84 0.21 0.27 2.84 0.00
    50 100 0.7 2.00 0.23 0.8 ( 0.04 ) 11.57 ( 0.53 )1.26 ( 0.1 ) 15.31 0.66 0.80 11.50 1.26
    100 100 0.7 1.00 0.31 0.39 ( 0.01 ) 11.68 ( 0.51 )0.1 ( 0.04 ) 16.58 0.61 0.39 11.60 0.10
    500 100 0.7 0.20 0.49 0.28 ( 0 ) 6.56 ( 0.32 ) 0 ( 0 ) 11.56 0.44 0.28 6.56 0.00
    1000 100 0.7 0.10 0.63 0.27 ( 0 ) 4.24 ( 0.26 ) 0 ( 0 ) 9.24 0.3 0.27 4.24 0.00
    50 500 0.7 10.00 0.12 1.37 ( 0.08 ) 19.8 ( 0.33 ) 2.78 ( 0.08 ) 22.02 0.85 1.37 19.80 2.78
    100 500 0.7 5.00 0.19 0.62 ( 0.03 ) 18.58 ( 0.85 )0.88 ( 0.08 ) 22.70 0.75 0.62 18.50 0.88
    500 500 0.7 1.00 0.36 0.3 ( 0 ) 11.31 ( 0.6 ) 0 ( 0 ) 16.31 0.58 0.30 11.30 0.00
    1000 500 0.7 0.50 0.46 0.27 ( 0 ) 7.93 ( 0.49 ) 0 ( 0 ) 12.93 0.47 0.27 7.93 0.00
    50 1000 0.7 20.00 0.09 1.5 ( 0.08 ) 22.99 ( 0.35 )3.2 ( 0.09 ) 24.79 0.88 1.50 22.90 3.20
    100 1000 0.7 10.00 0.14 0.77 ( 0.04 ) 22.43 ( 0.68 )1.45 ( 0.1 ) 25.98 0.82 0.77 22.40 1.45
    500 1000 0.7 2.00 0.30 0.31 ( 0 ) 14.7 ( 0.84 ) 0 ( 0 ) 19.70 0.65 0.31 14.70 0.00
    1000 1000 0.7 1.00 0.41 0.28 ( 0 ) 9.63 ( 0.54 ) 0 ( 0 ) 14.63 0.53 0.28 9.63 0.00
    50 50 0.9 1.00 0.31 0.55 ( 0.03 ) 5.65 ( 0.29 ) 2.17 ( 0.13 ) 8.48 0.51 0.55 5.65 2.17
    100 50 0.9 0.50 0.38 0.38 ( 0.02 ) 5.85 ( 0.3 ) 1.03 ( 0.11 ) 9.82 0.45 0.38 5.85 1.03
    500 50 0.9 0.10 0.61 0.28 ( 0 ) 4.34 ( 0.19 ) 0.01 ( 0.01 ) 9.33 0.33 0.28 4.34 0.01
    1000 50 0.9 0.05 0.76 0.27 ( 0 ) 2.71 ( 0.12 ) 0 ( 0 ) 7.71 0.2 0.27 2.71 0.00
    50 100 0.9 2.00 0.26 0.6 ( 0.03 ) 7.26 ( 0.35 ) 2.69 ( 0.1 ) 9.57 0.62 0.60 7.26 2.69
    100 100 0.9 1.00 0.31 0.44 ( 0.01 ) 7.79 ( 0.39 ) 1.51 ( 0.11 ) 11.28 0.57 0.44 7.79 1.51
    500 100 0.9 0.20 0.51 0.29 ( 0 ) 6.45 ( 0.27 ) 0 ( 0 ) 11.45 0.45 0.29 6.45 0.00
    1000 100 0.9 0.10 0.61 0.27 ( 0 ) 4.72 ( 0.21 ) 0 ( 0 ) 9.72 0.35 0.27 4.72 0.00
    50 500 0.9 10.00 0.13 0.81 ( 0.04 ) 13.78 ( 0.36 )3.54 ( 0.08 ) 15.24 0.83 0.81 13.70 3.54
    100 500 0.9 5.00 0.18 0.54 ( 0.02 ) 13.78 ( 0.72 )2.58 ( 0.08 ) 16.20 0.76 0.54 13.70 2.58
    500 500 0.9 1.00 0.25 0.3 ( 0 ) 18.18 ( 0.69 )0.03 ( 0.02 ) 23.15 0.72 0.30 18.10 0.03
    1000 500 0.9 0.50 0.33 0.28 ( 0 ) 12.68 ( 0.57 )0 ( 0 ) 17.68 0.63 0.28 12.60 0.00
    50 1000 0.9 20.00 0.08 0.9 ( 0.05 ) 18.15 ( 0.34 )3.92 ( 0.08 ) 19.23 0.89 0.90 18.10 3.92
    100 1000 0.9 10.00 0.16 0.59 ( 0.02 ) 15.99 ( 0.66 )2.88 ( 0.06 ) 18.11 0.81 0.59 15.90 2.88
    500 1000 0.9 2.00 0.20 0.31 ( 0 ) 24.62 ( 1.01 )0.05 ( 0.02 ) 29.57 0.77 0.31 24.60 0.05
    1000 1000 0.9 1.00 0.25 0.28 ( 0 ) 18.51 ( 0.86 )0 ( 0 ) 23.51 0.71 0.28 18.50 0.00
    \n" + ], + "text/latex": [ + "\\begin{tabular}{r|lllllllllllll}\n", + " N & P & Corr & Ratio & Stab & MSE & FP & FN & num\\_select & FDR & MSE\\_mean & FP\\_mean & FN\\_mean\\\\\n", + "\\hline\n", + "\t 50 & 50 & 0.1 & 1.00 & 0.36 & 0.62 ( 0.04 ) & 8.59 ( 0.46 ) & 0.02 ( 0.01 ) & 13.57 & 0.51 & 0.62 & 8.59 & 0.02 \\\\\n", + "\t 100 & 50 & 0.1 & 0.50 & 0.47 & 0.37 ( 0.01 ) & 6.3 ( 0.43 ) & 0 ( 0 ) & 11.30 & 0.4 & 0.37 & 6.30 & 0.00 \\\\\n", + "\t 500 & 50 & 0.1 & 0.10 & 0.73 & 0.28 ( 0 ) & 2.88 ( 0.21 ) & 0 ( 0 ) & 7.88 & 0.2 & 0.28 & 2.88 & 0.00 \\\\\n", + "\t 1000 & 50 & 0.1 & 0.05 & 0.89 & 0.27 ( 0 ) & 1.66 ( 0.11 ) & 0 ( 0 ) & 6.66 & 0.08 & 0.27 & 1.66 & 0.00 \\\\\n", + "\t 50 & 100 & 0.1 & 2.00 & 0.32 & 0.67 ( 0.05 ) & 11.84 ( 0.4 ) & 0 ( 0 ) & 16.84 & 0.62 & 0.67 & 11.80 & 0.00 \\\\\n", + "\t 100 & 100 & 0.1 & 1.00 & 0.44 & 0.4 ( 0.01 ) & 7.71 ( 0.56 ) & 0 ( 0 ) & 12.71 & 0.46 & 0.40 & 7.71 & 0.00 \\\\\n", + "\t 500 & 100 & 0.1 & 0.20 & 0.70 & 0.27 ( 0 ) & 3.35 ( 0.22 ) & 0 ( 0 ) & 8.35 & 0.23 & 0.27 & 3.35 & 0.00 \\\\\n", + "\t 1000 & 100 & 0.1 & 0.10 & 0.81 & 0.27 ( 0 ) & 2.29 ( 0.23 ) & 0 ( 0 ) & 7.29 & 0.13 & 0.27 & 2.29 & 0.00 \\\\\n", + "\t 50 & 500 & 0.1 & 10.00 & 0.18 & 1.61 ( 0.1 ) & 20.85 ( 0.38 ) & 0.69 ( 0.08 ) & 25.16 & 0.78 & 1.61 & 20.80 & 0.69 \\\\\n", + "\t 100 & 500 & 0.1 & 5.00 & 0.30 & 0.53 ( 0.02 ) & 14.69 ( 0.7 ) & 0 ( 0 ) & 19.69 & 0.66 & 0.53 & 14.60 & 0.00 \\\\\n", + "\t 500 & 500 & 0.1 & 1.00 & 0.55 & 0.28 ( 0 ) & 5.86 ( 0.51 ) & 0 ( 0 ) & 10.86 & 0.36 & 0.28 & 5.86 & 0.00 \\\\\n", + "\t 1000 & 500 & 0.1 & 0.50 & 0.78 & 0.28 ( 0 ) & 2.69 ( 0.21 ) & 0 ( 0 ) & 7.69 & 0.17 & 0.28 & 2.69 & 0.00 \\\\\n", + "\t 50 & 1000 & 0.1 & 20.00 & 0.13 & 2.23 ( 0.14 ) & 24.37 ( 0.39 ) & 1.36 ( 0.1 ) & 28.01 & 0.83 & 2.23 & 24.30 & 1.36 \\\\\n", + "\t 100 & 1000 & 0.1 & 10.00 & 0.25 & 0.57 ( 0.03 ) & 18.79 ( 0.7 ) & 0 ( 0 ) & 23.79 & 0.73 & 0.57 & 18.70 & 0.00 \\\\\n", + "\t 500 & 1000 & 0.1 & 2.00 & 0.49 & 0.28 ( 0 ) & 7.08 ( 0.53 ) & 0 ( 0 ) & 12.08 & 0.41 & 0.28 & 7.08 & 0.00 \\\\\n", + "\t 1000 & 1000 & 0.1 & 1.00 & 0.70 & 0.27 ( 0 ) & 3.59 ( 0.33 ) & 0 ( 0 ) & 8.59 & 0.23 & 0.27 & 3.59 & 0.00 \\\\\n", + "\t 50 & 50 & 0.3 & 1.00 & 0.35 & 0.57 ( 0.03 ) & 8.86 ( 0.42 ) & 0.05 ( 0.02 ) & 13.81 & 0.53 & 0.57 & 8.86 & 0.05 \\\\\n", + "\t 100 & 50 & 0.3 & 0.50 & 0.47 & 0.36 ( 0.01 ) & 6.18 ( 0.36 ) & 0 ( 0 ) & 11.18 & 0.41 & 0.36 & 6.18 & 0.00 \\\\\n", + "\t 500 & 50 & 0.3 & 0.10 & 0.70 & 0.28 ( 0 ) & 3.14 ( 0.21 ) & 0 ( 0 ) & 8.14 & 0.22 & 0.28 & 3.14 & 0.00 \\\\\n", + "\t 1000 & 50 & 0.3 & 0.05 & 0.86 & 0.27 ( 0 ) & 1.86 ( 0.11 ) & 0 ( 0 ) & 6.86 & 0.11 & 0.27 & 1.86 & 0.00 \\\\\n", + "\t 50 & 100 & 0.3 & 2.00 & 0.31 & 0.76 ( 0.04 ) & 11.12 ( 0.37 ) & 0.17 ( 0.04 ) & 15.95 & 0.62 & 0.76 & 11.10 & 0.17 \\\\\n", + "\t 100 & 100 & 0.3 & 1.00 & 0.38 & 0.41 ( 0.01 ) & 9.43 ( 0.53 ) & 0 ( 0 ) & 14.43 & 0.54 & 0.41 & 9.43 & 0.00 \\\\\n", + "\t 500 & 100 & 0.3 & 0.20 & 0.63 & 0.27 ( 0 ) & 4.16 ( 0.27 ) & 0 ( 0 ) & 9.16 & 0.29 & 0.27 & 4.16 & 0.00 \\\\\n", + "\t 1000 & 100 & 0.3 & 0.10 & 0.80 & 0.27 ( 0 ) & 2.36 ( 0.17 ) & 0 ( 0 ) & 7.36 & 0.15 & 0.27 & 2.36 & 0.00 \\\\\n", + "\t 50 & 500 & 0.3 & 10.00 & 0.14 & 1.78 ( 0.11 ) & 21.4 ( 0.41 ) & 1.39 ( 0.1 ) & 25.01 & 0.81 & 1.78 & 21.40 & 1.39 \\\\\n", + "\t 100 & 500 & 0.3 & 5.00 & 0.26 & 0.53 ( 0.02 ) & 16.81 ( 0.77 ) & 0.02 ( 0.01 ) & 21.79 & 0.7 & 0.53 & 16.80 & 0.02 \\\\\n", + "\t 500 & 500 & 0.3 & 1.00 & 0.55 & 0.29 ( 0 ) & 5.89 ( 0.51 ) & 0 ( 0 ) & 10.89 & 0.36 & 0.29 & 5.89 & 0.00 \\\\\n", + "\t 1000 & 500 & 0.3 & 0.50 & 0.69 & 0.27 ( 0 ) & 3.68 ( 0.32 ) & 0 ( 0 ) & 8.68 & 0.25 & 0.27 & 3.68 & 0.00 \\\\\n", + "\t 50 & 1000 & 0.3 & 20.00 & 0.11 & 2.21 ( 0.15 ) & 25.14 ( 0.35 ) & 1.87 ( 0.1 ) & 28.27 & 0.85 & 2.21 & 25.10 & 1.87 \\\\\n", + "\t 100 & 1000 & 0.3 & 10.00 & 0.22 & 0.61 ( 0.03 ) & 21.11 ( 0.75 ) & 0.02 ( 0.01 ) & 26.09 & 0.75 & 0.61 & 21.10 & 0.02 \\\\\n", + "\t ... & ... & ... & ... & ... & ... & ... & ... & ... & ... & ... & ... & ...\\\\\n", + "\t 500 & 50 & 0.7 & 0.10 & 0.60 & 0.27 ( 0 ) & 4.38 ( 0.21 ) & 0 ( 0 ) & 9.38 & 0.33 & 0.27 & 4.38 & 0.00 \\\\\n", + "\t 1000 & 50 & 0.7 & 0.05 & 0.74 & 0.27 ( 0 ) & 2.84 ( 0.14 ) & 0 ( 0 ) & 7.84 & 0.21 & 0.27 & 2.84 & 0.00 \\\\\n", + "\t 50 & 100 & 0.7 & 2.00 & 0.23 & 0.8 ( 0.04 ) & 11.57 ( 0.53 ) & 1.26 ( 0.1 ) & 15.31 & 0.66 & 0.80 & 11.50 & 1.26 \\\\\n", + "\t 100 & 100 & 0.7 & 1.00 & 0.31 & 0.39 ( 0.01 ) & 11.68 ( 0.51 ) & 0.1 ( 0.04 ) & 16.58 & 0.61 & 0.39 & 11.60 & 0.10 \\\\\n", + "\t 500 & 100 & 0.7 & 0.20 & 0.49 & 0.28 ( 0 ) & 6.56 ( 0.32 ) & 0 ( 0 ) & 11.56 & 0.44 & 0.28 & 6.56 & 0.00 \\\\\n", + "\t 1000 & 100 & 0.7 & 0.10 & 0.63 & 0.27 ( 0 ) & 4.24 ( 0.26 ) & 0 ( 0 ) & 9.24 & 0.3 & 0.27 & 4.24 & 0.00 \\\\\n", + "\t 50 & 500 & 0.7 & 10.00 & 0.12 & 1.37 ( 0.08 ) & 19.8 ( 0.33 ) & 2.78 ( 0.08 ) & 22.02 & 0.85 & 1.37 & 19.80 & 2.78 \\\\\n", + "\t 100 & 500 & 0.7 & 5.00 & 0.19 & 0.62 ( 0.03 ) & 18.58 ( 0.85 ) & 0.88 ( 0.08 ) & 22.70 & 0.75 & 0.62 & 18.50 & 0.88 \\\\\n", + "\t 500 & 500 & 0.7 & 1.00 & 0.36 & 0.3 ( 0 ) & 11.31 ( 0.6 ) & 0 ( 0 ) & 16.31 & 0.58 & 0.30 & 11.30 & 0.00 \\\\\n", + "\t 1000 & 500 & 0.7 & 0.50 & 0.46 & 0.27 ( 0 ) & 7.93 ( 0.49 ) & 0 ( 0 ) & 12.93 & 0.47 & 0.27 & 7.93 & 0.00 \\\\\n", + "\t 50 & 1000 & 0.7 & 20.00 & 0.09 & 1.5 ( 0.08 ) & 22.99 ( 0.35 ) & 3.2 ( 0.09 ) & 24.79 & 0.88 & 1.50 & 22.90 & 3.20 \\\\\n", + "\t 100 & 1000 & 0.7 & 10.00 & 0.14 & 0.77 ( 0.04 ) & 22.43 ( 0.68 ) & 1.45 ( 0.1 ) & 25.98 & 0.82 & 0.77 & 22.40 & 1.45 \\\\\n", + "\t 500 & 1000 & 0.7 & 2.00 & 0.30 & 0.31 ( 0 ) & 14.7 ( 0.84 ) & 0 ( 0 ) & 19.70 & 0.65 & 0.31 & 14.70 & 0.00 \\\\\n", + "\t 1000 & 1000 & 0.7 & 1.00 & 0.41 & 0.28 ( 0 ) & 9.63 ( 0.54 ) & 0 ( 0 ) & 14.63 & 0.53 & 0.28 & 9.63 & 0.00 \\\\\n", + "\t 50 & 50 & 0.9 & 1.00 & 0.31 & 0.55 ( 0.03 ) & 5.65 ( 0.29 ) & 2.17 ( 0.13 ) & 8.48 & 0.51 & 0.55 & 5.65 & 2.17 \\\\\n", + "\t 100 & 50 & 0.9 & 0.50 & 0.38 & 0.38 ( 0.02 ) & 5.85 ( 0.3 ) & 1.03 ( 0.11 ) & 9.82 & 0.45 & 0.38 & 5.85 & 1.03 \\\\\n", + "\t 500 & 50 & 0.9 & 0.10 & 0.61 & 0.28 ( 0 ) & 4.34 ( 0.19 ) & 0.01 ( 0.01 ) & 9.33 & 0.33 & 0.28 & 4.34 & 0.01 \\\\\n", + "\t 1000 & 50 & 0.9 & 0.05 & 0.76 & 0.27 ( 0 ) & 2.71 ( 0.12 ) & 0 ( 0 ) & 7.71 & 0.2 & 0.27 & 2.71 & 0.00 \\\\\n", + "\t 50 & 100 & 0.9 & 2.00 & 0.26 & 0.6 ( 0.03 ) & 7.26 ( 0.35 ) & 2.69 ( 0.1 ) & 9.57 & 0.62 & 0.60 & 7.26 & 2.69 \\\\\n", + "\t 100 & 100 & 0.9 & 1.00 & 0.31 & 0.44 ( 0.01 ) & 7.79 ( 0.39 ) & 1.51 ( 0.11 ) & 11.28 & 0.57 & 0.44 & 7.79 & 1.51 \\\\\n", + "\t 500 & 100 & 0.9 & 0.20 & 0.51 & 0.29 ( 0 ) & 6.45 ( 0.27 ) & 0 ( 0 ) & 11.45 & 0.45 & 0.29 & 6.45 & 0.00 \\\\\n", + "\t 1000 & 100 & 0.9 & 0.10 & 0.61 & 0.27 ( 0 ) & 4.72 ( 0.21 ) & 0 ( 0 ) & 9.72 & 0.35 & 0.27 & 4.72 & 0.00 \\\\\n", + "\t 50 & 500 & 0.9 & 10.00 & 0.13 & 0.81 ( 0.04 ) & 13.78 ( 0.36 ) & 3.54 ( 0.08 ) & 15.24 & 0.83 & 0.81 & 13.70 & 3.54 \\\\\n", + "\t 100 & 500 & 0.9 & 5.00 & 0.18 & 0.54 ( 0.02 ) & 13.78 ( 0.72 ) & 2.58 ( 0.08 ) & 16.20 & 0.76 & 0.54 & 13.70 & 2.58 \\\\\n", + "\t 500 & 500 & 0.9 & 1.00 & 0.25 & 0.3 ( 0 ) & 18.18 ( 0.69 ) & 0.03 ( 0.02 ) & 23.15 & 0.72 & 0.30 & 18.10 & 0.03 \\\\\n", + "\t 1000 & 500 & 0.9 & 0.50 & 0.33 & 0.28 ( 0 ) & 12.68 ( 0.57 ) & 0 ( 0 ) & 17.68 & 0.63 & 0.28 & 12.60 & 0.00 \\\\\n", + "\t 50 & 1000 & 0.9 & 20.00 & 0.08 & 0.9 ( 0.05 ) & 18.15 ( 0.34 ) & 3.92 ( 0.08 ) & 19.23 & 0.89 & 0.90 & 18.10 & 3.92 \\\\\n", + "\t 100 & 1000 & 0.9 & 10.00 & 0.16 & 0.59 ( 0.02 ) & 15.99 ( 0.66 ) & 2.88 ( 0.06 ) & 18.11 & 0.81 & 0.59 & 15.90 & 2.88 \\\\\n", + "\t 500 & 1000 & 0.9 & 2.00 & 0.20 & 0.31 ( 0 ) & 24.62 ( 1.01 ) & 0.05 ( 0.02 ) & 29.57 & 0.77 & 0.31 & 24.60 & 0.05 \\\\\n", + "\t 1000 & 1000 & 0.9 & 1.00 & 0.25 & 0.28 ( 0 ) & 18.51 ( 0.86 ) & 0 ( 0 ) & 23.51 & 0.71 & 0.28 & 18.50 & 0.00 \\\\\n", + "\\end{tabular}\n" + ], + "text/markdown": [ + "\n", + "| N | P | Corr | Ratio | Stab | MSE | FP | FN | num_select | FDR | MSE_mean | FP_mean | FN_mean |\n", + "|---|---|---|---|---|---|---|---|---|---|---|---|---|\n", + "| 50 | 50 | 0.1 | 1.00 | 0.36 | 0.62 ( 0.04 ) | 8.59 ( 0.46 ) | 0.02 ( 0.01 ) | 13.57 | 0.51 | 0.62 | 8.59 | 0.02 |\n", + "| 100 | 50 | 0.1 | 0.50 | 0.47 | 0.37 ( 0.01 ) | 6.3 ( 0.43 ) | 0 ( 0 ) | 11.30 | 0.4 | 0.37 | 6.30 | 0.00 |\n", + "| 500 | 50 | 0.1 | 0.10 | 0.73 | 0.28 ( 0 ) | 2.88 ( 0.21 ) | 0 ( 0 ) | 7.88 | 0.2 | 0.28 | 2.88 | 0.00 |\n", + "| 1000 | 50 | 0.1 | 0.05 | 0.89 | 0.27 ( 0 ) | 1.66 ( 0.11 ) | 0 ( 0 ) | 6.66 | 0.08 | 0.27 | 1.66 | 0.00 |\n", + "| 50 | 100 | 0.1 | 2.00 | 0.32 | 0.67 ( 0.05 ) | 11.84 ( 0.4 ) | 0 ( 0 ) | 16.84 | 0.62 | 0.67 | 11.80 | 0.00 |\n", + "| 100 | 100 | 0.1 | 1.00 | 0.44 | 0.4 ( 0.01 ) | 7.71 ( 0.56 ) | 0 ( 0 ) | 12.71 | 0.46 | 0.40 | 7.71 | 0.00 |\n", + "| 500 | 100 | 0.1 | 0.20 | 0.70 | 0.27 ( 0 ) | 3.35 ( 0.22 ) | 0 ( 0 ) | 8.35 | 0.23 | 0.27 | 3.35 | 0.00 |\n", + "| 1000 | 100 | 0.1 | 0.10 | 0.81 | 0.27 ( 0 ) | 2.29 ( 0.23 ) | 0 ( 0 ) | 7.29 | 0.13 | 0.27 | 2.29 | 0.00 |\n", + "| 50 | 500 | 0.1 | 10.00 | 0.18 | 1.61 ( 0.1 ) | 20.85 ( 0.38 ) | 0.69 ( 0.08 ) | 25.16 | 0.78 | 1.61 | 20.80 | 0.69 |\n", + "| 100 | 500 | 0.1 | 5.00 | 0.30 | 0.53 ( 0.02 ) | 14.69 ( 0.7 ) | 0 ( 0 ) | 19.69 | 0.66 | 0.53 | 14.60 | 0.00 |\n", + "| 500 | 500 | 0.1 | 1.00 | 0.55 | 0.28 ( 0 ) | 5.86 ( 0.51 ) | 0 ( 0 ) | 10.86 | 0.36 | 0.28 | 5.86 | 0.00 |\n", + "| 1000 | 500 | 0.1 | 0.50 | 0.78 | 0.28 ( 0 ) | 2.69 ( 0.21 ) | 0 ( 0 ) | 7.69 | 0.17 | 0.28 | 2.69 | 0.00 |\n", + "| 50 | 1000 | 0.1 | 20.00 | 0.13 | 2.23 ( 0.14 ) | 24.37 ( 0.39 ) | 1.36 ( 0.1 ) | 28.01 | 0.83 | 2.23 | 24.30 | 1.36 |\n", + "| 100 | 1000 | 0.1 | 10.00 | 0.25 | 0.57 ( 0.03 ) | 18.79 ( 0.7 ) | 0 ( 0 ) | 23.79 | 0.73 | 0.57 | 18.70 | 0.00 |\n", + "| 500 | 1000 | 0.1 | 2.00 | 0.49 | 0.28 ( 0 ) | 7.08 ( 0.53 ) | 0 ( 0 ) | 12.08 | 0.41 | 0.28 | 7.08 | 0.00 |\n", + "| 1000 | 1000 | 0.1 | 1.00 | 0.70 | 0.27 ( 0 ) | 3.59 ( 0.33 ) | 0 ( 0 ) | 8.59 | 0.23 | 0.27 | 3.59 | 0.00 |\n", + "| 50 | 50 | 0.3 | 1.00 | 0.35 | 0.57 ( 0.03 ) | 8.86 ( 0.42 ) | 0.05 ( 0.02 ) | 13.81 | 0.53 | 0.57 | 8.86 | 0.05 |\n", + "| 100 | 50 | 0.3 | 0.50 | 0.47 | 0.36 ( 0.01 ) | 6.18 ( 0.36 ) | 0 ( 0 ) | 11.18 | 0.41 | 0.36 | 6.18 | 0.00 |\n", + "| 500 | 50 | 0.3 | 0.10 | 0.70 | 0.28 ( 0 ) | 3.14 ( 0.21 ) | 0 ( 0 ) | 8.14 | 0.22 | 0.28 | 3.14 | 0.00 |\n", + "| 1000 | 50 | 0.3 | 0.05 | 0.86 | 0.27 ( 0 ) | 1.86 ( 0.11 ) | 0 ( 0 ) | 6.86 | 0.11 | 0.27 | 1.86 | 0.00 |\n", + "| 50 | 100 | 0.3 | 2.00 | 0.31 | 0.76 ( 0.04 ) | 11.12 ( 0.37 ) | 0.17 ( 0.04 ) | 15.95 | 0.62 | 0.76 | 11.10 | 0.17 |\n", + "| 100 | 100 | 0.3 | 1.00 | 0.38 | 0.41 ( 0.01 ) | 9.43 ( 0.53 ) | 0 ( 0 ) | 14.43 | 0.54 | 0.41 | 9.43 | 0.00 |\n", + "| 500 | 100 | 0.3 | 0.20 | 0.63 | 0.27 ( 0 ) | 4.16 ( 0.27 ) | 0 ( 0 ) | 9.16 | 0.29 | 0.27 | 4.16 | 0.00 |\n", + "| 1000 | 100 | 0.3 | 0.10 | 0.80 | 0.27 ( 0 ) | 2.36 ( 0.17 ) | 0 ( 0 ) | 7.36 | 0.15 | 0.27 | 2.36 | 0.00 |\n", + "| 50 | 500 | 0.3 | 10.00 | 0.14 | 1.78 ( 0.11 ) | 21.4 ( 0.41 ) | 1.39 ( 0.1 ) | 25.01 | 0.81 | 1.78 | 21.40 | 1.39 |\n", + "| 100 | 500 | 0.3 | 5.00 | 0.26 | 0.53 ( 0.02 ) | 16.81 ( 0.77 ) | 0.02 ( 0.01 ) | 21.79 | 0.7 | 0.53 | 16.80 | 0.02 |\n", + "| 500 | 500 | 0.3 | 1.00 | 0.55 | 0.29 ( 0 ) | 5.89 ( 0.51 ) | 0 ( 0 ) | 10.89 | 0.36 | 0.29 | 5.89 | 0.00 |\n", + "| 1000 | 500 | 0.3 | 0.50 | 0.69 | 0.27 ( 0 ) | 3.68 ( 0.32 ) | 0 ( 0 ) | 8.68 | 0.25 | 0.27 | 3.68 | 0.00 |\n", + "| 50 | 1000 | 0.3 | 20.00 | 0.11 | 2.21 ( 0.15 ) | 25.14 ( 0.35 ) | 1.87 ( 0.1 ) | 28.27 | 0.85 | 2.21 | 25.10 | 1.87 |\n", + "| 100 | 1000 | 0.3 | 10.00 | 0.22 | 0.61 ( 0.03 ) | 21.11 ( 0.75 ) | 0.02 ( 0.01 ) | 26.09 | 0.75 | 0.61 | 21.10 | 0.02 |\n", + "| ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... |\n", + "| 500 | 50 | 0.7 | 0.10 | 0.60 | 0.27 ( 0 ) | 4.38 ( 0.21 ) | 0 ( 0 ) | 9.38 | 0.33 | 0.27 | 4.38 | 0.00 |\n", + "| 1000 | 50 | 0.7 | 0.05 | 0.74 | 0.27 ( 0 ) | 2.84 ( 0.14 ) | 0 ( 0 ) | 7.84 | 0.21 | 0.27 | 2.84 | 0.00 |\n", + "| 50 | 100 | 0.7 | 2.00 | 0.23 | 0.8 ( 0.04 ) | 11.57 ( 0.53 ) | 1.26 ( 0.1 ) | 15.31 | 0.66 | 0.80 | 11.50 | 1.26 |\n", + "| 100 | 100 | 0.7 | 1.00 | 0.31 | 0.39 ( 0.01 ) | 11.68 ( 0.51 ) | 0.1 ( 0.04 ) | 16.58 | 0.61 | 0.39 | 11.60 | 0.10 |\n", + "| 500 | 100 | 0.7 | 0.20 | 0.49 | 0.28 ( 0 ) | 6.56 ( 0.32 ) | 0 ( 0 ) | 11.56 | 0.44 | 0.28 | 6.56 | 0.00 |\n", + "| 1000 | 100 | 0.7 | 0.10 | 0.63 | 0.27 ( 0 ) | 4.24 ( 0.26 ) | 0 ( 0 ) | 9.24 | 0.3 | 0.27 | 4.24 | 0.00 |\n", + "| 50 | 500 | 0.7 | 10.00 | 0.12 | 1.37 ( 0.08 ) | 19.8 ( 0.33 ) | 2.78 ( 0.08 ) | 22.02 | 0.85 | 1.37 | 19.80 | 2.78 |\n", + "| 100 | 500 | 0.7 | 5.00 | 0.19 | 0.62 ( 0.03 ) | 18.58 ( 0.85 ) | 0.88 ( 0.08 ) | 22.70 | 0.75 | 0.62 | 18.50 | 0.88 |\n", + "| 500 | 500 | 0.7 | 1.00 | 0.36 | 0.3 ( 0 ) | 11.31 ( 0.6 ) | 0 ( 0 ) | 16.31 | 0.58 | 0.30 | 11.30 | 0.00 |\n", + "| 1000 | 500 | 0.7 | 0.50 | 0.46 | 0.27 ( 0 ) | 7.93 ( 0.49 ) | 0 ( 0 ) | 12.93 | 0.47 | 0.27 | 7.93 | 0.00 |\n", + "| 50 | 1000 | 0.7 | 20.00 | 0.09 | 1.5 ( 0.08 ) | 22.99 ( 0.35 ) | 3.2 ( 0.09 ) | 24.79 | 0.88 | 1.50 | 22.90 | 3.20 |\n", + "| 100 | 1000 | 0.7 | 10.00 | 0.14 | 0.77 ( 0.04 ) | 22.43 ( 0.68 ) | 1.45 ( 0.1 ) | 25.98 | 0.82 | 0.77 | 22.40 | 1.45 |\n", + "| 500 | 1000 | 0.7 | 2.00 | 0.30 | 0.31 ( 0 ) | 14.7 ( 0.84 ) | 0 ( 0 ) | 19.70 | 0.65 | 0.31 | 14.70 | 0.00 |\n", + "| 1000 | 1000 | 0.7 | 1.00 | 0.41 | 0.28 ( 0 ) | 9.63 ( 0.54 ) | 0 ( 0 ) | 14.63 | 0.53 | 0.28 | 9.63 | 0.00 |\n", + "| 50 | 50 | 0.9 | 1.00 | 0.31 | 0.55 ( 0.03 ) | 5.65 ( 0.29 ) | 2.17 ( 0.13 ) | 8.48 | 0.51 | 0.55 | 5.65 | 2.17 |\n", + "| 100 | 50 | 0.9 | 0.50 | 0.38 | 0.38 ( 0.02 ) | 5.85 ( 0.3 ) | 1.03 ( 0.11 ) | 9.82 | 0.45 | 0.38 | 5.85 | 1.03 |\n", + "| 500 | 50 | 0.9 | 0.10 | 0.61 | 0.28 ( 0 ) | 4.34 ( 0.19 ) | 0.01 ( 0.01 ) | 9.33 | 0.33 | 0.28 | 4.34 | 0.01 |\n", + "| 1000 | 50 | 0.9 | 0.05 | 0.76 | 0.27 ( 0 ) | 2.71 ( 0.12 ) | 0 ( 0 ) | 7.71 | 0.2 | 0.27 | 2.71 | 0.00 |\n", + "| 50 | 100 | 0.9 | 2.00 | 0.26 | 0.6 ( 0.03 ) | 7.26 ( 0.35 ) | 2.69 ( 0.1 ) | 9.57 | 0.62 | 0.60 | 7.26 | 2.69 |\n", + "| 100 | 100 | 0.9 | 1.00 | 0.31 | 0.44 ( 0.01 ) | 7.79 ( 0.39 ) | 1.51 ( 0.11 ) | 11.28 | 0.57 | 0.44 | 7.79 | 1.51 |\n", + "| 500 | 100 | 0.9 | 0.20 | 0.51 | 0.29 ( 0 ) | 6.45 ( 0.27 ) | 0 ( 0 ) | 11.45 | 0.45 | 0.29 | 6.45 | 0.00 |\n", + "| 1000 | 100 | 0.9 | 0.10 | 0.61 | 0.27 ( 0 ) | 4.72 ( 0.21 ) | 0 ( 0 ) | 9.72 | 0.35 | 0.27 | 4.72 | 0.00 |\n", + "| 50 | 500 | 0.9 | 10.00 | 0.13 | 0.81 ( 0.04 ) | 13.78 ( 0.36 ) | 3.54 ( 0.08 ) | 15.24 | 0.83 | 0.81 | 13.70 | 3.54 |\n", + "| 100 | 500 | 0.9 | 5.00 | 0.18 | 0.54 ( 0.02 ) | 13.78 ( 0.72 ) | 2.58 ( 0.08 ) | 16.20 | 0.76 | 0.54 | 13.70 | 2.58 |\n", + "| 500 | 500 | 0.9 | 1.00 | 0.25 | 0.3 ( 0 ) | 18.18 ( 0.69 ) | 0.03 ( 0.02 ) | 23.15 | 0.72 | 0.30 | 18.10 | 0.03 |\n", + "| 1000 | 500 | 0.9 | 0.50 | 0.33 | 0.28 ( 0 ) | 12.68 ( 0.57 ) | 0 ( 0 ) | 17.68 | 0.63 | 0.28 | 12.60 | 0.00 |\n", + "| 50 | 1000 | 0.9 | 20.00 | 0.08 | 0.9 ( 0.05 ) | 18.15 ( 0.34 ) | 3.92 ( 0.08 ) | 19.23 | 0.89 | 0.90 | 18.10 | 3.92 |\n", + "| 100 | 1000 | 0.9 | 10.00 | 0.16 | 0.59 ( 0.02 ) | 15.99 ( 0.66 ) | 2.88 ( 0.06 ) | 18.11 | 0.81 | 0.59 | 15.90 | 2.88 |\n", + "| 500 | 1000 | 0.9 | 2.00 | 0.20 | 0.31 ( 0 ) | 24.62 ( 1.01 ) | 0.05 ( 0.02 ) | 29.57 | 0.77 | 0.31 | 24.60 | 0.05 |\n", + "| 1000 | 1000 | 0.9 | 1.00 | 0.25 | 0.28 ( 0 ) | 18.51 ( 0.86 ) | 0 ( 0 ) | 23.51 | 0.71 | 0.28 | 18.50 | 0.00 |\n", + "\n" + ], + "text/plain": [ + " N P Corr Ratio Stab MSE FP FN \n", + "1 50 50 0.1 1.00 0.36 0.62 ( 0.04 ) 8.59 ( 0.46 ) 0.02 ( 0.01 )\n", + "2 100 50 0.1 0.50 0.47 0.37 ( 0.01 ) 6.3 ( 0.43 ) 0 ( 0 ) \n", + "3 500 50 0.1 0.10 0.73 0.28 ( 0 ) 2.88 ( 0.21 ) 0 ( 0 ) \n", + "4 1000 50 0.1 0.05 0.89 0.27 ( 0 ) 1.66 ( 0.11 ) 0 ( 0 ) \n", + "5 50 100 0.1 2.00 0.32 0.67 ( 0.05 ) 11.84 ( 0.4 ) 0 ( 0 ) \n", + "6 100 100 0.1 1.00 0.44 0.4 ( 0.01 ) 7.71 ( 0.56 ) 0 ( 0 ) \n", + "7 500 100 0.1 0.20 0.70 0.27 ( 0 ) 3.35 ( 0.22 ) 0 ( 0 ) \n", + "8 1000 100 0.1 0.10 0.81 0.27 ( 0 ) 2.29 ( 0.23 ) 0 ( 0 ) \n", + "9 50 500 0.1 10.00 0.18 1.61 ( 0.1 ) 20.85 ( 0.38 ) 0.69 ( 0.08 )\n", + "10 100 500 0.1 5.00 0.30 0.53 ( 0.02 ) 14.69 ( 0.7 ) 0 ( 0 ) \n", + "11 500 500 0.1 1.00 0.55 0.28 ( 0 ) 5.86 ( 0.51 ) 0 ( 0 ) \n", + "12 1000 500 0.1 0.50 0.78 0.28 ( 0 ) 2.69 ( 0.21 ) 0 ( 0 ) \n", + "13 50 1000 0.1 20.00 0.13 2.23 ( 0.14 ) 24.37 ( 0.39 ) 1.36 ( 0.1 ) \n", + "14 100 1000 0.1 10.00 0.25 0.57 ( 0.03 ) 18.79 ( 0.7 ) 0 ( 0 ) \n", + "15 500 1000 0.1 2.00 0.49 0.28 ( 0 ) 7.08 ( 0.53 ) 0 ( 0 ) \n", + "16 1000 1000 0.1 1.00 0.70 0.27 ( 0 ) 3.59 ( 0.33 ) 0 ( 0 ) \n", + "17 50 50 0.3 1.00 0.35 0.57 ( 0.03 ) 8.86 ( 0.42 ) 0.05 ( 0.02 )\n", + "18 100 50 0.3 0.50 0.47 0.36 ( 0.01 ) 6.18 ( 0.36 ) 0 ( 0 ) \n", + "19 500 50 0.3 0.10 0.70 0.28 ( 0 ) 3.14 ( 0.21 ) 0 ( 0 ) \n", + "20 1000 50 0.3 0.05 0.86 0.27 ( 0 ) 1.86 ( 0.11 ) 0 ( 0 ) \n", + "21 50 100 0.3 2.00 0.31 0.76 ( 0.04 ) 11.12 ( 0.37 ) 0.17 ( 0.04 )\n", + "22 100 100 0.3 1.00 0.38 0.41 ( 0.01 ) 9.43 ( 0.53 ) 0 ( 0 ) \n", + "23 500 100 0.3 0.20 0.63 0.27 ( 0 ) 4.16 ( 0.27 ) 0 ( 0 ) \n", + "24 1000 100 0.3 0.10 0.80 0.27 ( 0 ) 2.36 ( 0.17 ) 0 ( 0 ) \n", + "25 50 500 0.3 10.00 0.14 1.78 ( 0.11 ) 21.4 ( 0.41 ) 1.39 ( 0.1 ) \n", + "26 100 500 0.3 5.00 0.26 0.53 ( 0.02 ) 16.81 ( 0.77 ) 0.02 ( 0.01 )\n", + "27 500 500 0.3 1.00 0.55 0.29 ( 0 ) 5.89 ( 0.51 ) 0 ( 0 ) \n", + "28 1000 500 0.3 0.50 0.69 0.27 ( 0 ) 3.68 ( 0.32 ) 0 ( 0 ) \n", + "29 50 1000 0.3 20.00 0.11 2.21 ( 0.15 ) 25.14 ( 0.35 ) 1.87 ( 0.1 ) \n", + "30 100 1000 0.3 10.00 0.22 0.61 ( 0.03 ) 21.11 ( 0.75 ) 0.02 ( 0.01 )\n", + "... ... ... ... ... ... ... ... ... \n", + "51 500 50 0.7 0.10 0.60 0.27 ( 0 ) 4.38 ( 0.21 ) 0 ( 0 ) \n", + "52 1000 50 0.7 0.05 0.74 0.27 ( 0 ) 2.84 ( 0.14 ) 0 ( 0 ) \n", + "53 50 100 0.7 2.00 0.23 0.8 ( 0.04 ) 11.57 ( 0.53 ) 1.26 ( 0.1 ) \n", + "54 100 100 0.7 1.00 0.31 0.39 ( 0.01 ) 11.68 ( 0.51 ) 0.1 ( 0.04 ) \n", + "55 500 100 0.7 0.20 0.49 0.28 ( 0 ) 6.56 ( 0.32 ) 0 ( 0 ) \n", + "56 1000 100 0.7 0.10 0.63 0.27 ( 0 ) 4.24 ( 0.26 ) 0 ( 0 ) \n", + "57 50 500 0.7 10.00 0.12 1.37 ( 0.08 ) 19.8 ( 0.33 ) 2.78 ( 0.08 )\n", + "58 100 500 0.7 5.00 0.19 0.62 ( 0.03 ) 18.58 ( 0.85 ) 0.88 ( 0.08 )\n", + "59 500 500 0.7 1.00 0.36 0.3 ( 0 ) 11.31 ( 0.6 ) 0 ( 0 ) \n", + "60 1000 500 0.7 0.50 0.46 0.27 ( 0 ) 7.93 ( 0.49 ) 0 ( 0 ) \n", + "61 50 1000 0.7 20.00 0.09 1.5 ( 0.08 ) 22.99 ( 0.35 ) 3.2 ( 0.09 ) \n", + "62 100 1000 0.7 10.00 0.14 0.77 ( 0.04 ) 22.43 ( 0.68 ) 1.45 ( 0.1 ) \n", + "63 500 1000 0.7 2.00 0.30 0.31 ( 0 ) 14.7 ( 0.84 ) 0 ( 0 ) \n", + "64 1000 1000 0.7 1.00 0.41 0.28 ( 0 ) 9.63 ( 0.54 ) 0 ( 0 ) \n", + "65 50 50 0.9 1.00 0.31 0.55 ( 0.03 ) 5.65 ( 0.29 ) 2.17 ( 0.13 )\n", + "66 100 50 0.9 0.50 0.38 0.38 ( 0.02 ) 5.85 ( 0.3 ) 1.03 ( 0.11 )\n", + "67 500 50 0.9 0.10 0.61 0.28 ( 0 ) 4.34 ( 0.19 ) 0.01 ( 0.01 )\n", + "68 1000 50 0.9 0.05 0.76 0.27 ( 0 ) 2.71 ( 0.12 ) 0 ( 0 ) \n", + "69 50 100 0.9 2.00 0.26 0.6 ( 0.03 ) 7.26 ( 0.35 ) 2.69 ( 0.1 ) \n", + "70 100 100 0.9 1.00 0.31 0.44 ( 0.01 ) 7.79 ( 0.39 ) 1.51 ( 0.11 )\n", + "71 500 100 0.9 0.20 0.51 0.29 ( 0 ) 6.45 ( 0.27 ) 0 ( 0 ) \n", + "72 1000 100 0.9 0.10 0.61 0.27 ( 0 ) 4.72 ( 0.21 ) 0 ( 0 ) \n", + "73 50 500 0.9 10.00 0.13 0.81 ( 0.04 ) 13.78 ( 0.36 ) 3.54 ( 0.08 )\n", + "74 100 500 0.9 5.00 0.18 0.54 ( 0.02 ) 13.78 ( 0.72 ) 2.58 ( 0.08 )\n", + "75 500 500 0.9 1.00 0.25 0.3 ( 0 ) 18.18 ( 0.69 ) 0.03 ( 0.02 )\n", + "76 1000 500 0.9 0.50 0.33 0.28 ( 0 ) 12.68 ( 0.57 ) 0 ( 0 ) \n", + "77 50 1000 0.9 20.00 0.08 0.9 ( 0.05 ) 18.15 ( 0.34 ) 3.92 ( 0.08 )\n", + "78 100 1000 0.9 10.00 0.16 0.59 ( 0.02 ) 15.99 ( 0.66 ) 2.88 ( 0.06 )\n", + "79 500 1000 0.9 2.00 0.20 0.31 ( 0 ) 24.62 ( 1.01 ) 0.05 ( 0.02 )\n", + "80 1000 1000 0.9 1.00 0.25 0.28 ( 0 ) 18.51 ( 0.86 ) 0 ( 0 ) \n", + " num_select FDR MSE_mean FP_mean FN_mean\n", + "1 13.57 0.51 0.62 8.59 0.02 \n", + "2 11.30 0.4 0.37 6.30 0.00 \n", + "3 7.88 0.2 0.28 2.88 0.00 \n", + "4 6.66 0.08 0.27 1.66 0.00 \n", + "5 16.84 0.62 0.67 11.80 0.00 \n", + "6 12.71 0.46 0.40 7.71 0.00 \n", + "7 8.35 0.23 0.27 3.35 0.00 \n", + "8 7.29 0.13 0.27 2.29 0.00 \n", + "9 25.16 0.78 1.61 20.80 0.69 \n", + "10 19.69 0.66 0.53 14.60 0.00 \n", + "11 10.86 0.36 0.28 5.86 0.00 \n", + "12 7.69 0.17 0.28 2.69 0.00 \n", + "13 28.01 0.83 2.23 24.30 1.36 \n", + "14 23.79 0.73 0.57 18.70 0.00 \n", + "15 12.08 0.41 0.28 7.08 0.00 \n", + "16 8.59 0.23 0.27 3.59 0.00 \n", + "17 13.81 0.53 0.57 8.86 0.05 \n", + "18 11.18 0.41 0.36 6.18 0.00 \n", + "19 8.14 0.22 0.28 3.14 0.00 \n", + "20 6.86 0.11 0.27 1.86 0.00 \n", + "21 15.95 0.62 0.76 11.10 0.17 \n", + "22 14.43 0.54 0.41 9.43 0.00 \n", + "23 9.16 0.29 0.27 4.16 0.00 \n", + "24 7.36 0.15 0.27 2.36 0.00 \n", + "25 25.01 0.81 1.78 21.40 1.39 \n", + "26 21.79 0.7 0.53 16.80 0.02 \n", + "27 10.89 0.36 0.29 5.89 0.00 \n", + "28 8.68 0.25 0.27 3.68 0.00 \n", + "29 28.27 0.85 2.21 25.10 1.87 \n", + "30 26.09 0.75 0.61 21.10 0.02 \n", + "... ... ... ... ... ... \n", + "51 9.38 0.33 0.27 4.38 0.00 \n", + "52 7.84 0.21 0.27 2.84 0.00 \n", + "53 15.31 0.66 0.80 11.50 1.26 \n", + "54 16.58 0.61 0.39 11.60 0.10 \n", + "55 11.56 0.44 0.28 6.56 0.00 \n", + "56 9.24 0.3 0.27 4.24 0.00 \n", + "57 22.02 0.85 1.37 19.80 2.78 \n", + "58 22.70 0.75 0.62 18.50 0.88 \n", + "59 16.31 0.58 0.30 11.30 0.00 \n", + "60 12.93 0.47 0.27 7.93 0.00 \n", + "61 24.79 0.88 1.50 22.90 3.20 \n", + "62 25.98 0.82 0.77 22.40 1.45 \n", + "63 19.70 0.65 0.31 14.70 0.00 \n", + "64 14.63 0.53 0.28 9.63 0.00 \n", + "65 8.48 0.51 0.55 5.65 2.17 \n", + "66 9.82 0.45 0.38 5.85 1.03 \n", + "67 9.33 0.33 0.28 4.34 0.01 \n", + "68 7.71 0.2 0.27 2.71 0.00 \n", + "69 9.57 0.62 0.60 7.26 2.69 \n", + "70 11.28 0.57 0.44 7.79 1.51 \n", + "71 11.45 0.45 0.29 6.45 0.00 \n", + "72 9.72 0.35 0.27 4.72 0.00 \n", + "73 15.24 0.83 0.81 13.70 3.54 \n", + "74 16.20 0.76 0.54 13.70 2.58 \n", + "75 23.15 0.72 0.30 18.10 0.03 \n", + "76 17.68 0.63 0.28 12.60 0.00 \n", + "77 19.23 0.89 0.90 18.10 3.92 \n", + "78 18.11 0.81 0.59 15.90 2.88 \n", + "79 29.57 0.77 0.31 24.60 0.05 \n", + "80 23.51 0.71 0.28 18.50 0.00 " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "result.table_toe\n", + "\n", + "## export\n", + "write.table(result.table_toe, '../results_summary/sim_toe_lasso.txt', sep='\\t', row.names=F)" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Warning message:\n", + "“Using size for a discrete variable is not advised.”Warning message:\n", + "“Using alpha for a discrete variable is not advised.”Warning message:\n", + "“Using size for a discrete variable is not advised.”Warning message:\n", + "“Using alpha for a discrete variable is not advised.”Warning message:\n", + "“Using size for a discrete variable is not advised.”Warning message:\n", + "“Using alpha for a discrete variable is not advised.”Warning message:\n", + "“Using size for a discrete variable is not advised.”Warning message:\n", + "“Using alpha for a discrete variable is not advised.”Warning message:\n", + "“Removed 10 rows containing missing values (geom_point).”" + ] + }, + { + "data": { + "image/png": "iVBORw0KGgoAAAANSUhEUgAAA0gAAANICAYAAAD958/bAAAEGWlDQ1BrQ0dDb2xvclNwYWNl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\nAgYi8P88VY4tDa1DKgAAAABJRU5ErkJggg==", + "text/plain": [ + "plot without title" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "library(ggplot2)\n", + "library(ggpubr)\n", + "result.table_toe$N = as.factor(result.table_toe$N)\n", + "fig_toe_stab = ggplot(result.table_toe, aes(x=P, y=Stab, color=N)) + \n", + " geom_point(aes(size = Corr, alpha=Corr)) + theme(legend.position = \"none\") +\n", + " scale_size_discrete(range = c(1,4)) + scale_alpha_discrete(range = c(1, 0.4)) + ylab('Stability')\n", + "\n", + "fig_toe_mse = ggplot(result.table_toe, aes(x=P, y=MSE_mean, color=N)) + \n", + " geom_point(aes(size = Corr, alpha=Corr)) + theme(legend.position=\"none\") +\n", + " scale_size_discrete(range = c(1,4)) + scale_alpha_discrete(range = c(1, 0.4)) + ylab('MSE')\n", + "\n", + "fig_toe_fp = ggplot(result.table_toe, aes(x=P, y=FP_mean, color=N)) + \n", + " geom_point(aes(size = Corr, alpha=Corr)) + theme(legend.position = \"none\") + \n", + " scale_size_discrete(range = c(1,4)) + scale_alpha_discrete(range = c(1, 0.4)) + ylab('False Positives')\n", + "\n", + "fig_toe_fn = ggplot(result.table_toe, aes(x=P, y=FN_mean, color=N)) + \n", + " geom_point(aes(size = Corr, alpha=Corr)) + theme(legend.position = \"none\") +\n", + " scale_size_discrete(range = c(1,4)) + scale_alpha_discrete(range = c(1, 0.4)) + ylab('False Negatives')\n", + "fig = ggarrange(fig_toe_stab, fig_toe_mse, fig_toe_fp, fig_toe_fn, ncol=2, nrow=2, \n", + " common.legend = TRUE, legend=\"right\") \n", + "fig = annotate_figure(fig, top = text_grob(\"Toeplitz_Lasso\"))\n", + "ggexport(fig, filename = \"../figures_sim/figure_toe_lasso.pdf\", height=6, width=6)" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", + "\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\n", + "
    NPCorrRatioStabMSEFPFNnum_selectMSE_meanFP_meanFN_mean
    1 50 50 0.1 1.0 0.36 0.62 ( 0.04 ) 8.59 ( 0.46 ) 0.02 ( 0.01 ) 13.57 0.62 8.59 0.02
    17 50 50 0.3 1.0 0.35 0.57 ( 0.03 ) 8.86 ( 0.42 ) 0.05 ( 0.02 ) 13.81 0.57 8.86 0.05
    33 50 50 0.5 1.0 0.35 0.63 ( 0.04 ) 8.51 ( 0.41 ) 0.17 ( 0.04 ) 13.34 0.63 8.51 0.17
    49 50 50 0.7 1.0 0.30 0.66 ( 0.04 ) 9.27 ( 0.39 ) 0.47 ( 0.06 ) 13.80 0.66 9.27 0.47
    65 50 50 0.9 1.0 0.31 0.55 ( 0.03 ) 5.65 ( 0.29 ) 2.17 ( 0.13 ) 8.48 0.55 5.65 2.17
    5 50 100 0.1 2.0 0.32 0.67 ( 0.05 ) 11.84 ( 0.4 ) 0 ( 0 ) 16.84 0.67 11.80 0.00
    21 50 100 0.3 2.0 0.31 0.76 ( 0.04 ) 11.12 ( 0.37 )0.17 ( 0.04 ) 15.95 0.76 11.10 0.17
    37 50 100 0.5 2.0 0.24 0.8 ( 0.05 ) 13.21 ( 0.46 )0.6 ( 0.07 ) 17.61 0.80 13.20 0.60
    53 50 100 0.7 2.0 0.23 0.8 ( 0.04 ) 11.57 ( 0.53 )1.26 ( 0.1 ) 15.31 0.80 11.50 1.26
    69 50 100 0.9 2.0 0.26 0.6 ( 0.03 ) 7.26 ( 0.35 ) 2.69 ( 0.1 ) 9.57 0.60 7.26 2.69
    9 50 500 0.1 10.0 0.18 1.61 ( 0.1 ) 20.85 ( 0.38 )0.69 ( 0.08 ) 25.16 1.61 20.80 0.69
    25 50 500 0.3 10.0 0.14 1.78 ( 0.11 ) 21.4 ( 0.41 ) 1.39 ( 0.1 ) 25.01 1.78 21.40 1.39
    41 50 500 0.5 10.0 0.12 1.73 ( 0.1 ) 21.69 ( 0.32 )1.93 ( 0.09 ) 24.76 1.73 21.60 1.93
    57 50 500 0.7 10.0 0.12 1.37 ( 0.08 ) 19.8 ( 0.33 ) 2.78 ( 0.08 ) 22.02 1.37 19.80 2.78
    73 50 500 0.9 10.0 0.13 0.81 ( 0.04 ) 13.78 ( 0.36 )3.54 ( 0.08 ) 15.24 0.81 13.70 3.54
    13 50 1000 0.1 20.0 0.13 2.23 ( 0.14 ) 24.37 ( 0.39 )1.36 ( 0.1 ) 28.01 2.23 24.30 1.36
    29 50 1000 0.3 20.0 0.11 2.21 ( 0.15 ) 25.14 ( 0.35 )1.87 ( 0.1 ) 28.27 2.21 25.10 1.87
    45 50 1000 0.5 20.0 0.09 2.17 ( 0.13 ) 25.13 ( 0.34 )2.69 ( 0.1 ) 27.44 2.17 25.10 2.69
    61 50 1000 0.7 20.0 0.09 1.5 ( 0.08 ) 22.99 ( 0.35 )3.2 ( 0.09 ) 24.79 1.50 22.90 3.20
    77 50 1000 0.9 20.0 0.08 0.9 ( 0.05 ) 18.15 ( 0.34 )3.92 ( 0.08 ) 19.23 0.90 18.10 3.92
    2100 50 0.1 0.5 0.47 0.37 ( 0.01 ) 6.3 ( 0.43 ) 0 ( 0 ) 11.30 0.37 6.30 0.00
    18100 50 0.3 0.5 0.47 0.36 ( 0.01 ) 6.18 ( 0.36 ) 0 ( 0 ) 11.18 0.36 6.18 0.00
    34100 50 0.5 0.5 0.42 0.37 ( 0.01 ) 7.21 ( 0.33 ) 0.01 ( 0.01 ) 12.20 0.37 7.21 0.01
    50100 50 0.7 0.5 0.39 0.37 ( 0.01 ) 7.9 ( 0.35 ) 0.05 ( 0.03 ) 12.85 0.37 7.90 0.05
    66100 50 0.9 0.5 0.38 0.38 ( 0.02 ) 5.85 ( 0.3 ) 1.03 ( 0.11 ) 9.82 0.38 5.85 1.03
    6100 100 0.1 1.0 0.44 0.4 ( 0.01 ) 7.71 ( 0.56 ) 0 ( 0 ) 12.71 0.40 7.71 0.00
    22100 100 0.3 1.0 0.38 0.41 ( 0.01 ) 9.43 ( 0.53 ) 0 ( 0 ) 14.43 0.41 9.43 0.00
    38100 100 0.5 1.0 0.36 0.44 ( 0.02 ) 10 ( 0.48 ) 0.02 ( 0.01 ) 14.98 0.44 10.00 0.02
    54100 100 0.7 1.0 0.31 0.39 ( 0.01 ) 11.68 ( 0.51 )0.1 ( 0.04 ) 16.58 0.39 11.60 0.10
    70100 100 0.9 1.0 0.31 0.44 ( 0.01 ) 7.79 ( 0.39 ) 1.51 ( 0.11 ) 11.28 0.44 7.79 1.51
    .......................................
    11 500 500 0.1 1.00 0.55 0.28 ( 0 ) 5.86 ( 0.51 ) 0 ( 0 ) 10.86 0.28 5.86 0.00
    27 500 500 0.3 1.00 0.55 0.29 ( 0 ) 5.89 ( 0.51 ) 0 ( 0 ) 10.89 0.29 5.89 0.00
    43 500 500 0.5 1.00 0.40 0.29 ( 0 ) 9.79 ( 0.55 ) 0 ( 0 ) 14.79 0.29 9.79 0.00
    59 500 500 0.7 1.00 0.36 0.3 ( 0 ) 11.31 ( 0.6 ) 0 ( 0 ) 16.31 0.30 11.30 0.00
    75 500 500 0.9 1.00 0.25 0.3 ( 0 ) 18.18 ( 0.69 )0.03 ( 0.02 ) 23.15 0.30 18.10 0.03
    15 500 1000 0.1 2.00 0.49 0.28 ( 0 ) 7.08 ( 0.53 ) 0 ( 0 ) 12.08 0.28 7.08 0.00
    31 500 1000 0.3 2.00 0.47 0.28 ( 0 ) 7.69 ( 0.63 ) 0 ( 0 ) 12.69 0.28 7.69 0.00
    47 500 1000 0.5 2.00 0.39 0.3 ( 0 ) 10.46 ( 0.63 )0 ( 0 ) 15.46 0.30 10.40 0.00
    63 500 1000 0.7 2.00 0.30 0.31 ( 0 ) 14.7 ( 0.84 ) 0 ( 0 ) 19.70 0.31 14.70 0.00
    79 500 1000 0.9 2.00 0.20 0.31 ( 0 ) 24.62 ( 1.01 )0.05 ( 0.02 ) 29.57 0.31 24.60 0.05
    41000 50 0.1 0.05 0.89 0.27 ( 0 ) 1.66 ( 0.11 ) 0 ( 0 ) 6.66 0.27 1.66 0.00
    201000 50 0.3 0.05 0.86 0.27 ( 0 ) 1.86 ( 0.11 ) 0 ( 0 ) 6.86 0.27 1.86 0.00
    361000 50 0.5 0.05 0.78 0.27 ( 0 ) 2.46 ( 0.15 ) 0 ( 0 ) 7.46 0.27 2.46 0.00
    521000 50 0.7 0.05 0.74 0.27 ( 0 ) 2.84 ( 0.14 ) 0 ( 0 ) 7.84 0.27 2.84 0.00
    681000 50 0.9 0.05 0.76 0.27 ( 0 ) 2.71 ( 0.12 ) 0 ( 0 ) 7.71 0.27 2.71 0.00
    81000 100 0.1 0.10 0.81 0.27 ( 0 ) 2.29 ( 0.23 ) 0 ( 0 ) 7.29 0.27 2.29 0.00
    241000 100 0.3 0.10 0.80 0.27 ( 0 ) 2.36 ( 0.17 ) 0 ( 0 ) 7.36 0.27 2.36 0.00
    401000 100 0.5 0.10 0.71 0.27 ( 0 ) 3.24 ( 0.22 ) 0 ( 0 ) 8.24 0.27 3.24 0.00
    561000 100 0.7 0.10 0.63 0.27 ( 0 ) 4.24 ( 0.26 ) 0 ( 0 ) 9.24 0.27 4.24 0.00
    721000 100 0.9 0.10 0.61 0.27 ( 0 ) 4.72 ( 0.21 ) 0 ( 0 ) 9.72 0.27 4.72 0.00
    121000 500 0.1 0.50 0.78 0.28 ( 0 ) 2.69 ( 0.21 ) 0 ( 0 ) 7.69 0.28 2.69 0.00
    281000 500 0.3 0.50 0.69 0.27 ( 0 ) 3.68 ( 0.32 ) 0 ( 0 ) 8.68 0.27 3.68 0.00
    441000 500 0.5 0.50 0.51 0.28 ( 0 ) 6.66 ( 0.64 ) 0 ( 0 ) 11.66 0.28 6.66 0.00
    601000 500 0.7 0.50 0.46 0.27 ( 0 ) 7.93 ( 0.49 ) 0 ( 0 ) 12.93 0.27 7.93 0.00
    761000 500 0.9 0.50 0.33 0.28 ( 0 ) 12.68 ( 0.57 )0 ( 0 ) 17.68 0.28 12.60 0.00
    161000 1000 0.1 1.00 0.70 0.27 ( 0 ) 3.59 ( 0.33 ) 0 ( 0 ) 8.59 0.27 3.59 0.00
    321000 1000 0.3 1.00 0.58 0.27 ( 0 ) 5.27 ( 0.46 ) 0 ( 0 ) 10.27 0.27 5.27 0.00
    481000 1000 0.5 1.00 0.48 0.28 ( 0 ) 7.42 ( 0.6 ) 0 ( 0 ) 12.42 0.28 7.42 0.00
    641000 1000 0.7 1.00 0.41 0.28 ( 0 ) 9.63 ( 0.54 ) 0 ( 0 ) 14.63 0.28 9.63 0.00
    801000 1000 0.9 1.00 0.25 0.28 ( 0 ) 18.51 ( 0.86 )0 ( 0 ) 23.51 0.28 18.50 0.00
    \n" + ], + "text/latex": [ + "\\begin{tabular}{r|llllllllllll}\n", + " & N & P & Corr & Ratio & Stab & MSE & FP & FN & num\\_select & MSE\\_mean & FP\\_mean & FN\\_mean\\\\\n", + "\\hline\n", + "\t1 & 50 & 50 & 0.1 & 1.0 & 0.36 & 0.62 ( 0.04 ) & 8.59 ( 0.46 ) & 0.02 ( 0.01 ) & 13.57 & 0.62 & 8.59 & 0.02 \\\\\n", + "\t17 & 50 & 50 & 0.3 & 1.0 & 0.35 & 0.57 ( 0.03 ) & 8.86 ( 0.42 ) & 0.05 ( 0.02 ) & 13.81 & 0.57 & 8.86 & 0.05 \\\\\n", + "\t33 & 50 & 50 & 0.5 & 1.0 & 0.35 & 0.63 ( 0.04 ) & 8.51 ( 0.41 ) & 0.17 ( 0.04 ) & 13.34 & 0.63 & 8.51 & 0.17 \\\\\n", + "\t49 & 50 & 50 & 0.7 & 1.0 & 0.30 & 0.66 ( 0.04 ) & 9.27 ( 0.39 ) & 0.47 ( 0.06 ) & 13.80 & 0.66 & 9.27 & 0.47 \\\\\n", + "\t65 & 50 & 50 & 0.9 & 1.0 & 0.31 & 0.55 ( 0.03 ) & 5.65 ( 0.29 ) & 2.17 ( 0.13 ) & 8.48 & 0.55 & 5.65 & 2.17 \\\\\n", + "\t5 & 50 & 100 & 0.1 & 2.0 & 0.32 & 0.67 ( 0.05 ) & 11.84 ( 0.4 ) & 0 ( 0 ) & 16.84 & 0.67 & 11.80 & 0.00 \\\\\n", + "\t21 & 50 & 100 & 0.3 & 2.0 & 0.31 & 0.76 ( 0.04 ) & 11.12 ( 0.37 ) & 0.17 ( 0.04 ) & 15.95 & 0.76 & 11.10 & 0.17 \\\\\n", + "\t37 & 50 & 100 & 0.5 & 2.0 & 0.24 & 0.8 ( 0.05 ) & 13.21 ( 0.46 ) & 0.6 ( 0.07 ) & 17.61 & 0.80 & 13.20 & 0.60 \\\\\n", + "\t53 & 50 & 100 & 0.7 & 2.0 & 0.23 & 0.8 ( 0.04 ) & 11.57 ( 0.53 ) & 1.26 ( 0.1 ) & 15.31 & 0.80 & 11.50 & 1.26 \\\\\n", + "\t69 & 50 & 100 & 0.9 & 2.0 & 0.26 & 0.6 ( 0.03 ) & 7.26 ( 0.35 ) & 2.69 ( 0.1 ) & 9.57 & 0.60 & 7.26 & 2.69 \\\\\n", + "\t9 & 50 & 500 & 0.1 & 10.0 & 0.18 & 1.61 ( 0.1 ) & 20.85 ( 0.38 ) & 0.69 ( 0.08 ) & 25.16 & 1.61 & 20.80 & 0.69 \\\\\n", + "\t25 & 50 & 500 & 0.3 & 10.0 & 0.14 & 1.78 ( 0.11 ) & 21.4 ( 0.41 ) & 1.39 ( 0.1 ) & 25.01 & 1.78 & 21.40 & 1.39 \\\\\n", + "\t41 & 50 & 500 & 0.5 & 10.0 & 0.12 & 1.73 ( 0.1 ) & 21.69 ( 0.32 ) & 1.93 ( 0.09 ) & 24.76 & 1.73 & 21.60 & 1.93 \\\\\n", + "\t57 & 50 & 500 & 0.7 & 10.0 & 0.12 & 1.37 ( 0.08 ) & 19.8 ( 0.33 ) & 2.78 ( 0.08 ) & 22.02 & 1.37 & 19.80 & 2.78 \\\\\n", + "\t73 & 50 & 500 & 0.9 & 10.0 & 0.13 & 0.81 ( 0.04 ) & 13.78 ( 0.36 ) & 3.54 ( 0.08 ) & 15.24 & 0.81 & 13.70 & 3.54 \\\\\n", + "\t13 & 50 & 1000 & 0.1 & 20.0 & 0.13 & 2.23 ( 0.14 ) & 24.37 ( 0.39 ) & 1.36 ( 0.1 ) & 28.01 & 2.23 & 24.30 & 1.36 \\\\\n", + "\t29 & 50 & 1000 & 0.3 & 20.0 & 0.11 & 2.21 ( 0.15 ) & 25.14 ( 0.35 ) & 1.87 ( 0.1 ) & 28.27 & 2.21 & 25.10 & 1.87 \\\\\n", + "\t45 & 50 & 1000 & 0.5 & 20.0 & 0.09 & 2.17 ( 0.13 ) & 25.13 ( 0.34 ) & 2.69 ( 0.1 ) & 27.44 & 2.17 & 25.10 & 2.69 \\\\\n", + "\t61 & 50 & 1000 & 0.7 & 20.0 & 0.09 & 1.5 ( 0.08 ) & 22.99 ( 0.35 ) & 3.2 ( 0.09 ) & 24.79 & 1.50 & 22.90 & 3.20 \\\\\n", + "\t77 & 50 & 1000 & 0.9 & 20.0 & 0.08 & 0.9 ( 0.05 ) & 18.15 ( 0.34 ) & 3.92 ( 0.08 ) & 19.23 & 0.90 & 18.10 & 3.92 \\\\\n", + "\t2 & 100 & 50 & 0.1 & 0.5 & 0.47 & 0.37 ( 0.01 ) & 6.3 ( 0.43 ) & 0 ( 0 ) & 11.30 & 0.37 & 6.30 & 0.00 \\\\\n", + "\t18 & 100 & 50 & 0.3 & 0.5 & 0.47 & 0.36 ( 0.01 ) & 6.18 ( 0.36 ) & 0 ( 0 ) & 11.18 & 0.36 & 6.18 & 0.00 \\\\\n", + "\t34 & 100 & 50 & 0.5 & 0.5 & 0.42 & 0.37 ( 0.01 ) & 7.21 ( 0.33 ) & 0.01 ( 0.01 ) & 12.20 & 0.37 & 7.21 & 0.01 \\\\\n", + "\t50 & 100 & 50 & 0.7 & 0.5 & 0.39 & 0.37 ( 0.01 ) & 7.9 ( 0.35 ) & 0.05 ( 0.03 ) & 12.85 & 0.37 & 7.90 & 0.05 \\\\\n", + "\t66 & 100 & 50 & 0.9 & 0.5 & 0.38 & 0.38 ( 0.02 ) & 5.85 ( 0.3 ) & 1.03 ( 0.11 ) & 9.82 & 0.38 & 5.85 & 1.03 \\\\\n", + "\t6 & 100 & 100 & 0.1 & 1.0 & 0.44 & 0.4 ( 0.01 ) & 7.71 ( 0.56 ) & 0 ( 0 ) & 12.71 & 0.40 & 7.71 & 0.00 \\\\\n", + "\t22 & 100 & 100 & 0.3 & 1.0 & 0.38 & 0.41 ( 0.01 ) & 9.43 ( 0.53 ) & 0 ( 0 ) & 14.43 & 0.41 & 9.43 & 0.00 \\\\\n", + "\t38 & 100 & 100 & 0.5 & 1.0 & 0.36 & 0.44 ( 0.02 ) & 10 ( 0.48 ) & 0.02 ( 0.01 ) & 14.98 & 0.44 & 10.00 & 0.02 \\\\\n", + "\t54 & 100 & 100 & 0.7 & 1.0 & 0.31 & 0.39 ( 0.01 ) & 11.68 ( 0.51 ) & 0.1 ( 0.04 ) & 16.58 & 0.39 & 11.60 & 0.10 \\\\\n", + "\t70 & 100 & 100 & 0.9 & 1.0 & 0.31 & 0.44 ( 0.01 ) & 7.79 ( 0.39 ) & 1.51 ( 0.11 ) & 11.28 & 0.44 & 7.79 & 1.51 \\\\\n", + "\t... & ... & ... & ... & ... & ... & ... & ... & ... & ... & ... & ... & ...\\\\\n", + "\t11 & 500 & 500 & 0.1 & 1.00 & 0.55 & 0.28 ( 0 ) & 5.86 ( 0.51 ) & 0 ( 0 ) & 10.86 & 0.28 & 5.86 & 0.00 \\\\\n", + "\t27 & 500 & 500 & 0.3 & 1.00 & 0.55 & 0.29 ( 0 ) & 5.89 ( 0.51 ) & 0 ( 0 ) & 10.89 & 0.29 & 5.89 & 0.00 \\\\\n", + "\t43 & 500 & 500 & 0.5 & 1.00 & 0.40 & 0.29 ( 0 ) & 9.79 ( 0.55 ) & 0 ( 0 ) & 14.79 & 0.29 & 9.79 & 0.00 \\\\\n", + "\t59 & 500 & 500 & 0.7 & 1.00 & 0.36 & 0.3 ( 0 ) & 11.31 ( 0.6 ) & 0 ( 0 ) & 16.31 & 0.30 & 11.30 & 0.00 \\\\\n", + "\t75 & 500 & 500 & 0.9 & 1.00 & 0.25 & 0.3 ( 0 ) & 18.18 ( 0.69 ) & 0.03 ( 0.02 ) & 23.15 & 0.30 & 18.10 & 0.03 \\\\\n", + "\t15 & 500 & 1000 & 0.1 & 2.00 & 0.49 & 0.28 ( 0 ) & 7.08 ( 0.53 ) & 0 ( 0 ) & 12.08 & 0.28 & 7.08 & 0.00 \\\\\n", + "\t31 & 500 & 1000 & 0.3 & 2.00 & 0.47 & 0.28 ( 0 ) & 7.69 ( 0.63 ) & 0 ( 0 ) & 12.69 & 0.28 & 7.69 & 0.00 \\\\\n", + "\t47 & 500 & 1000 & 0.5 & 2.00 & 0.39 & 0.3 ( 0 ) & 10.46 ( 0.63 ) & 0 ( 0 ) & 15.46 & 0.30 & 10.40 & 0.00 \\\\\n", + "\t63 & 500 & 1000 & 0.7 & 2.00 & 0.30 & 0.31 ( 0 ) & 14.7 ( 0.84 ) & 0 ( 0 ) & 19.70 & 0.31 & 14.70 & 0.00 \\\\\n", + "\t79 & 500 & 1000 & 0.9 & 2.00 & 0.20 & 0.31 ( 0 ) & 24.62 ( 1.01 ) & 0.05 ( 0.02 ) & 29.57 & 0.31 & 24.60 & 0.05 \\\\\n", + "\t4 & 1000 & 50 & 0.1 & 0.05 & 0.89 & 0.27 ( 0 ) & 1.66 ( 0.11 ) & 0 ( 0 ) & 6.66 & 0.27 & 1.66 & 0.00 \\\\\n", + "\t20 & 1000 & 50 & 0.3 & 0.05 & 0.86 & 0.27 ( 0 ) & 1.86 ( 0.11 ) & 0 ( 0 ) & 6.86 & 0.27 & 1.86 & 0.00 \\\\\n", + "\t36 & 1000 & 50 & 0.5 & 0.05 & 0.78 & 0.27 ( 0 ) & 2.46 ( 0.15 ) & 0 ( 0 ) & 7.46 & 0.27 & 2.46 & 0.00 \\\\\n", + "\t52 & 1000 & 50 & 0.7 & 0.05 & 0.74 & 0.27 ( 0 ) & 2.84 ( 0.14 ) & 0 ( 0 ) & 7.84 & 0.27 & 2.84 & 0.00 \\\\\n", + "\t68 & 1000 & 50 & 0.9 & 0.05 & 0.76 & 0.27 ( 0 ) & 2.71 ( 0.12 ) & 0 ( 0 ) & 7.71 & 0.27 & 2.71 & 0.00 \\\\\n", + "\t8 & 1000 & 100 & 0.1 & 0.10 & 0.81 & 0.27 ( 0 ) & 2.29 ( 0.23 ) & 0 ( 0 ) & 7.29 & 0.27 & 2.29 & 0.00 \\\\\n", + "\t24 & 1000 & 100 & 0.3 & 0.10 & 0.80 & 0.27 ( 0 ) & 2.36 ( 0.17 ) & 0 ( 0 ) & 7.36 & 0.27 & 2.36 & 0.00 \\\\\n", + "\t40 & 1000 & 100 & 0.5 & 0.10 & 0.71 & 0.27 ( 0 ) & 3.24 ( 0.22 ) & 0 ( 0 ) & 8.24 & 0.27 & 3.24 & 0.00 \\\\\n", + "\t56 & 1000 & 100 & 0.7 & 0.10 & 0.63 & 0.27 ( 0 ) & 4.24 ( 0.26 ) & 0 ( 0 ) & 9.24 & 0.27 & 4.24 & 0.00 \\\\\n", + "\t72 & 1000 & 100 & 0.9 & 0.10 & 0.61 & 0.27 ( 0 ) & 4.72 ( 0.21 ) & 0 ( 0 ) & 9.72 & 0.27 & 4.72 & 0.00 \\\\\n", + "\t12 & 1000 & 500 & 0.1 & 0.50 & 0.78 & 0.28 ( 0 ) & 2.69 ( 0.21 ) & 0 ( 0 ) & 7.69 & 0.28 & 2.69 & 0.00 \\\\\n", + "\t28 & 1000 & 500 & 0.3 & 0.50 & 0.69 & 0.27 ( 0 ) & 3.68 ( 0.32 ) & 0 ( 0 ) & 8.68 & 0.27 & 3.68 & 0.00 \\\\\n", + "\t44 & 1000 & 500 & 0.5 & 0.50 & 0.51 & 0.28 ( 0 ) & 6.66 ( 0.64 ) & 0 ( 0 ) & 11.66 & 0.28 & 6.66 & 0.00 \\\\\n", + "\t60 & 1000 & 500 & 0.7 & 0.50 & 0.46 & 0.27 ( 0 ) & 7.93 ( 0.49 ) & 0 ( 0 ) & 12.93 & 0.27 & 7.93 & 0.00 \\\\\n", + "\t76 & 1000 & 500 & 0.9 & 0.50 & 0.33 & 0.28 ( 0 ) & 12.68 ( 0.57 ) & 0 ( 0 ) & 17.68 & 0.28 & 12.60 & 0.00 \\\\\n", + "\t16 & 1000 & 1000 & 0.1 & 1.00 & 0.70 & 0.27 ( 0 ) & 3.59 ( 0.33 ) & 0 ( 0 ) & 8.59 & 0.27 & 3.59 & 0.00 \\\\\n", + "\t32 & 1000 & 1000 & 0.3 & 1.00 & 0.58 & 0.27 ( 0 ) & 5.27 ( 0.46 ) & 0 ( 0 ) & 10.27 & 0.27 & 5.27 & 0.00 \\\\\n", + "\t48 & 1000 & 1000 & 0.5 & 1.00 & 0.48 & 0.28 ( 0 ) & 7.42 ( 0.6 ) & 0 ( 0 ) & 12.42 & 0.28 & 7.42 & 0.00 \\\\\n", + "\t64 & 1000 & 1000 & 0.7 & 1.00 & 0.41 & 0.28 ( 0 ) & 9.63 ( 0.54 ) & 0 ( 0 ) & 14.63 & 0.28 & 9.63 & 0.00 \\\\\n", + "\t80 & 1000 & 1000 & 0.9 & 1.00 & 0.25 & 0.28 ( 0 ) & 18.51 ( 0.86 ) & 0 ( 0 ) & 23.51 & 0.28 & 18.50 & 0.00 \\\\\n", + "\\end{tabular}\n" + ], + "text/markdown": [ + "\n", + "| | N | P | Corr | Ratio | Stab | MSE | FP | FN | num_select | MSE_mean | FP_mean | FN_mean |\n", + "|---|---|---|---|---|---|---|---|---|---|---|---|---|\n", + "| 1 | 50 | 50 | 0.1 | 1.0 | 0.36 | 0.62 ( 0.04 ) | 8.59 ( 0.46 ) | 0.02 ( 0.01 ) | 13.57 | 0.62 | 8.59 | 0.02 |\n", + "| 17 | 50 | 50 | 0.3 | 1.0 | 0.35 | 0.57 ( 0.03 ) | 8.86 ( 0.42 ) | 0.05 ( 0.02 ) | 13.81 | 0.57 | 8.86 | 0.05 |\n", + "| 33 | 50 | 50 | 0.5 | 1.0 | 0.35 | 0.63 ( 0.04 ) | 8.51 ( 0.41 ) | 0.17 ( 0.04 ) | 13.34 | 0.63 | 8.51 | 0.17 |\n", + "| 49 | 50 | 50 | 0.7 | 1.0 | 0.30 | 0.66 ( 0.04 ) | 9.27 ( 0.39 ) | 0.47 ( 0.06 ) | 13.80 | 0.66 | 9.27 | 0.47 |\n", + "| 65 | 50 | 50 | 0.9 | 1.0 | 0.31 | 0.55 ( 0.03 ) | 5.65 ( 0.29 ) | 2.17 ( 0.13 ) | 8.48 | 0.55 | 5.65 | 2.17 |\n", + "| 5 | 50 | 100 | 0.1 | 2.0 | 0.32 | 0.67 ( 0.05 ) | 11.84 ( 0.4 ) | 0 ( 0 ) | 16.84 | 0.67 | 11.80 | 0.00 |\n", + "| 21 | 50 | 100 | 0.3 | 2.0 | 0.31 | 0.76 ( 0.04 ) | 11.12 ( 0.37 ) | 0.17 ( 0.04 ) | 15.95 | 0.76 | 11.10 | 0.17 |\n", + "| 37 | 50 | 100 | 0.5 | 2.0 | 0.24 | 0.8 ( 0.05 ) | 13.21 ( 0.46 ) | 0.6 ( 0.07 ) | 17.61 | 0.80 | 13.20 | 0.60 |\n", + "| 53 | 50 | 100 | 0.7 | 2.0 | 0.23 | 0.8 ( 0.04 ) | 11.57 ( 0.53 ) | 1.26 ( 0.1 ) | 15.31 | 0.80 | 11.50 | 1.26 |\n", + "| 69 | 50 | 100 | 0.9 | 2.0 | 0.26 | 0.6 ( 0.03 ) | 7.26 ( 0.35 ) | 2.69 ( 0.1 ) | 9.57 | 0.60 | 7.26 | 2.69 |\n", + "| 9 | 50 | 500 | 0.1 | 10.0 | 0.18 | 1.61 ( 0.1 ) | 20.85 ( 0.38 ) | 0.69 ( 0.08 ) | 25.16 | 1.61 | 20.80 | 0.69 |\n", + "| 25 | 50 | 500 | 0.3 | 10.0 | 0.14 | 1.78 ( 0.11 ) | 21.4 ( 0.41 ) | 1.39 ( 0.1 ) | 25.01 | 1.78 | 21.40 | 1.39 |\n", + "| 41 | 50 | 500 | 0.5 | 10.0 | 0.12 | 1.73 ( 0.1 ) | 21.69 ( 0.32 ) | 1.93 ( 0.09 ) | 24.76 | 1.73 | 21.60 | 1.93 |\n", + "| 57 | 50 | 500 | 0.7 | 10.0 | 0.12 | 1.37 ( 0.08 ) | 19.8 ( 0.33 ) | 2.78 ( 0.08 ) | 22.02 | 1.37 | 19.80 | 2.78 |\n", + "| 73 | 50 | 500 | 0.9 | 10.0 | 0.13 | 0.81 ( 0.04 ) | 13.78 ( 0.36 ) | 3.54 ( 0.08 ) | 15.24 | 0.81 | 13.70 | 3.54 |\n", + "| 13 | 50 | 1000 | 0.1 | 20.0 | 0.13 | 2.23 ( 0.14 ) | 24.37 ( 0.39 ) | 1.36 ( 0.1 ) | 28.01 | 2.23 | 24.30 | 1.36 |\n", + "| 29 | 50 | 1000 | 0.3 | 20.0 | 0.11 | 2.21 ( 0.15 ) | 25.14 ( 0.35 ) | 1.87 ( 0.1 ) | 28.27 | 2.21 | 25.10 | 1.87 |\n", + "| 45 | 50 | 1000 | 0.5 | 20.0 | 0.09 | 2.17 ( 0.13 ) | 25.13 ( 0.34 ) | 2.69 ( 0.1 ) | 27.44 | 2.17 | 25.10 | 2.69 |\n", + "| 61 | 50 | 1000 | 0.7 | 20.0 | 0.09 | 1.5 ( 0.08 ) | 22.99 ( 0.35 ) | 3.2 ( 0.09 ) | 24.79 | 1.50 | 22.90 | 3.20 |\n", + "| 77 | 50 | 1000 | 0.9 | 20.0 | 0.08 | 0.9 ( 0.05 ) | 18.15 ( 0.34 ) | 3.92 ( 0.08 ) | 19.23 | 0.90 | 18.10 | 3.92 |\n", + "| 2 | 100 | 50 | 0.1 | 0.5 | 0.47 | 0.37 ( 0.01 ) | 6.3 ( 0.43 ) | 0 ( 0 ) | 11.30 | 0.37 | 6.30 | 0.00 |\n", + "| 18 | 100 | 50 | 0.3 | 0.5 | 0.47 | 0.36 ( 0.01 ) | 6.18 ( 0.36 ) | 0 ( 0 ) | 11.18 | 0.36 | 6.18 | 0.00 |\n", + "| 34 | 100 | 50 | 0.5 | 0.5 | 0.42 | 0.37 ( 0.01 ) | 7.21 ( 0.33 ) | 0.01 ( 0.01 ) | 12.20 | 0.37 | 7.21 | 0.01 |\n", + "| 50 | 100 | 50 | 0.7 | 0.5 | 0.39 | 0.37 ( 0.01 ) | 7.9 ( 0.35 ) | 0.05 ( 0.03 ) | 12.85 | 0.37 | 7.90 | 0.05 |\n", + "| 66 | 100 | 50 | 0.9 | 0.5 | 0.38 | 0.38 ( 0.02 ) | 5.85 ( 0.3 ) | 1.03 ( 0.11 ) | 9.82 | 0.38 | 5.85 | 1.03 |\n", + "| 6 | 100 | 100 | 0.1 | 1.0 | 0.44 | 0.4 ( 0.01 ) | 7.71 ( 0.56 ) | 0 ( 0 ) | 12.71 | 0.40 | 7.71 | 0.00 |\n", + "| 22 | 100 | 100 | 0.3 | 1.0 | 0.38 | 0.41 ( 0.01 ) | 9.43 ( 0.53 ) | 0 ( 0 ) | 14.43 | 0.41 | 9.43 | 0.00 |\n", + "| 38 | 100 | 100 | 0.5 | 1.0 | 0.36 | 0.44 ( 0.02 ) | 10 ( 0.48 ) | 0.02 ( 0.01 ) | 14.98 | 0.44 | 10.00 | 0.02 |\n", + "| 54 | 100 | 100 | 0.7 | 1.0 | 0.31 | 0.39 ( 0.01 ) | 11.68 ( 0.51 ) | 0.1 ( 0.04 ) | 16.58 | 0.39 | 11.60 | 0.10 |\n", + "| 70 | 100 | 100 | 0.9 | 1.0 | 0.31 | 0.44 ( 0.01 ) | 7.79 ( 0.39 ) | 1.51 ( 0.11 ) | 11.28 | 0.44 | 7.79 | 1.51 |\n", + "| ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... |\n", + "| 11 | 500 | 500 | 0.1 | 1.00 | 0.55 | 0.28 ( 0 ) | 5.86 ( 0.51 ) | 0 ( 0 ) | 10.86 | 0.28 | 5.86 | 0.00 |\n", + "| 27 | 500 | 500 | 0.3 | 1.00 | 0.55 | 0.29 ( 0 ) | 5.89 ( 0.51 ) | 0 ( 0 ) | 10.89 | 0.29 | 5.89 | 0.00 |\n", + "| 43 | 500 | 500 | 0.5 | 1.00 | 0.40 | 0.29 ( 0 ) | 9.79 ( 0.55 ) | 0 ( 0 ) | 14.79 | 0.29 | 9.79 | 0.00 |\n", + "| 59 | 500 | 500 | 0.7 | 1.00 | 0.36 | 0.3 ( 0 ) | 11.31 ( 0.6 ) | 0 ( 0 ) | 16.31 | 0.30 | 11.30 | 0.00 |\n", + "| 75 | 500 | 500 | 0.9 | 1.00 | 0.25 | 0.3 ( 0 ) | 18.18 ( 0.69 ) | 0.03 ( 0.02 ) | 23.15 | 0.30 | 18.10 | 0.03 |\n", + "| 15 | 500 | 1000 | 0.1 | 2.00 | 0.49 | 0.28 ( 0 ) | 7.08 ( 0.53 ) | 0 ( 0 ) | 12.08 | 0.28 | 7.08 | 0.00 |\n", + "| 31 | 500 | 1000 | 0.3 | 2.00 | 0.47 | 0.28 ( 0 ) | 7.69 ( 0.63 ) | 0 ( 0 ) | 12.69 | 0.28 | 7.69 | 0.00 |\n", + "| 47 | 500 | 1000 | 0.5 | 2.00 | 0.39 | 0.3 ( 0 ) | 10.46 ( 0.63 ) | 0 ( 0 ) | 15.46 | 0.30 | 10.40 | 0.00 |\n", + "| 63 | 500 | 1000 | 0.7 | 2.00 | 0.30 | 0.31 ( 0 ) | 14.7 ( 0.84 ) | 0 ( 0 ) | 19.70 | 0.31 | 14.70 | 0.00 |\n", + "| 79 | 500 | 1000 | 0.9 | 2.00 | 0.20 | 0.31 ( 0 ) | 24.62 ( 1.01 ) | 0.05 ( 0.02 ) | 29.57 | 0.31 | 24.60 | 0.05 |\n", + "| 4 | 1000 | 50 | 0.1 | 0.05 | 0.89 | 0.27 ( 0 ) | 1.66 ( 0.11 ) | 0 ( 0 ) | 6.66 | 0.27 | 1.66 | 0.00 |\n", + "| 20 | 1000 | 50 | 0.3 | 0.05 | 0.86 | 0.27 ( 0 ) | 1.86 ( 0.11 ) | 0 ( 0 ) | 6.86 | 0.27 | 1.86 | 0.00 |\n", + "| 36 | 1000 | 50 | 0.5 | 0.05 | 0.78 | 0.27 ( 0 ) | 2.46 ( 0.15 ) | 0 ( 0 ) | 7.46 | 0.27 | 2.46 | 0.00 |\n", + "| 52 | 1000 | 50 | 0.7 | 0.05 | 0.74 | 0.27 ( 0 ) | 2.84 ( 0.14 ) | 0 ( 0 ) | 7.84 | 0.27 | 2.84 | 0.00 |\n", + "| 68 | 1000 | 50 | 0.9 | 0.05 | 0.76 | 0.27 ( 0 ) | 2.71 ( 0.12 ) | 0 ( 0 ) | 7.71 | 0.27 | 2.71 | 0.00 |\n", + "| 8 | 1000 | 100 | 0.1 | 0.10 | 0.81 | 0.27 ( 0 ) | 2.29 ( 0.23 ) | 0 ( 0 ) | 7.29 | 0.27 | 2.29 | 0.00 |\n", + "| 24 | 1000 | 100 | 0.3 | 0.10 | 0.80 | 0.27 ( 0 ) | 2.36 ( 0.17 ) | 0 ( 0 ) | 7.36 | 0.27 | 2.36 | 0.00 |\n", + "| 40 | 1000 | 100 | 0.5 | 0.10 | 0.71 | 0.27 ( 0 ) | 3.24 ( 0.22 ) | 0 ( 0 ) | 8.24 | 0.27 | 3.24 | 0.00 |\n", + "| 56 | 1000 | 100 | 0.7 | 0.10 | 0.63 | 0.27 ( 0 ) | 4.24 ( 0.26 ) | 0 ( 0 ) | 9.24 | 0.27 | 4.24 | 0.00 |\n", + "| 72 | 1000 | 100 | 0.9 | 0.10 | 0.61 | 0.27 ( 0 ) | 4.72 ( 0.21 ) | 0 ( 0 ) | 9.72 | 0.27 | 4.72 | 0.00 |\n", + "| 12 | 1000 | 500 | 0.1 | 0.50 | 0.78 | 0.28 ( 0 ) | 2.69 ( 0.21 ) | 0 ( 0 ) | 7.69 | 0.28 | 2.69 | 0.00 |\n", + "| 28 | 1000 | 500 | 0.3 | 0.50 | 0.69 | 0.27 ( 0 ) | 3.68 ( 0.32 ) | 0 ( 0 ) | 8.68 | 0.27 | 3.68 | 0.00 |\n", + "| 44 | 1000 | 500 | 0.5 | 0.50 | 0.51 | 0.28 ( 0 ) | 6.66 ( 0.64 ) | 0 ( 0 ) | 11.66 | 0.28 | 6.66 | 0.00 |\n", + "| 60 | 1000 | 500 | 0.7 | 0.50 | 0.46 | 0.27 ( 0 ) | 7.93 ( 0.49 ) | 0 ( 0 ) | 12.93 | 0.27 | 7.93 | 0.00 |\n", + "| 76 | 1000 | 500 | 0.9 | 0.50 | 0.33 | 0.28 ( 0 ) | 12.68 ( 0.57 ) | 0 ( 0 ) | 17.68 | 0.28 | 12.60 | 0.00 |\n", + "| 16 | 1000 | 1000 | 0.1 | 1.00 | 0.70 | 0.27 ( 0 ) | 3.59 ( 0.33 ) | 0 ( 0 ) | 8.59 | 0.27 | 3.59 | 0.00 |\n", + "| 32 | 1000 | 1000 | 0.3 | 1.00 | 0.58 | 0.27 ( 0 ) | 5.27 ( 0.46 ) | 0 ( 0 ) | 10.27 | 0.27 | 5.27 | 0.00 |\n", + "| 48 | 1000 | 1000 | 0.5 | 1.00 | 0.48 | 0.28 ( 0 ) | 7.42 ( 0.6 ) | 0 ( 0 ) | 12.42 | 0.28 | 7.42 | 0.00 |\n", + "| 64 | 1000 | 1000 | 0.7 | 1.00 | 0.41 | 0.28 ( 0 ) | 9.63 ( 0.54 ) | 0 ( 0 ) | 14.63 | 0.28 | 9.63 | 0.00 |\n", + "| 80 | 1000 | 1000 | 0.9 | 1.00 | 0.25 | 0.28 ( 0 ) | 18.51 ( 0.86 ) | 0 ( 0 ) | 23.51 | 0.28 | 18.50 | 0.00 |\n", + "\n" + ], + "text/plain": [ + " N P Corr Ratio Stab MSE FP FN \n", + "1 50 50 0.1 1.0 0.36 0.62 ( 0.04 ) 8.59 ( 0.46 ) 0.02 ( 0.01 )\n", + "17 50 50 0.3 1.0 0.35 0.57 ( 0.03 ) 8.86 ( 0.42 ) 0.05 ( 0.02 )\n", + "33 50 50 0.5 1.0 0.35 0.63 ( 0.04 ) 8.51 ( 0.41 ) 0.17 ( 0.04 )\n", + "49 50 50 0.7 1.0 0.30 0.66 ( 0.04 ) 9.27 ( 0.39 ) 0.47 ( 0.06 )\n", + "65 50 50 0.9 1.0 0.31 0.55 ( 0.03 ) 5.65 ( 0.29 ) 2.17 ( 0.13 )\n", + "5 50 100 0.1 2.0 0.32 0.67 ( 0.05 ) 11.84 ( 0.4 ) 0 ( 0 ) \n", + "21 50 100 0.3 2.0 0.31 0.76 ( 0.04 ) 11.12 ( 0.37 ) 0.17 ( 0.04 )\n", + "37 50 100 0.5 2.0 0.24 0.8 ( 0.05 ) 13.21 ( 0.46 ) 0.6 ( 0.07 ) \n", + "53 50 100 0.7 2.0 0.23 0.8 ( 0.04 ) 11.57 ( 0.53 ) 1.26 ( 0.1 ) \n", + "69 50 100 0.9 2.0 0.26 0.6 ( 0.03 ) 7.26 ( 0.35 ) 2.69 ( 0.1 ) \n", + "9 50 500 0.1 10.0 0.18 1.61 ( 0.1 ) 20.85 ( 0.38 ) 0.69 ( 0.08 )\n", + "25 50 500 0.3 10.0 0.14 1.78 ( 0.11 ) 21.4 ( 0.41 ) 1.39 ( 0.1 ) \n", + "41 50 500 0.5 10.0 0.12 1.73 ( 0.1 ) 21.69 ( 0.32 ) 1.93 ( 0.09 )\n", + "57 50 500 0.7 10.0 0.12 1.37 ( 0.08 ) 19.8 ( 0.33 ) 2.78 ( 0.08 )\n", + "73 50 500 0.9 10.0 0.13 0.81 ( 0.04 ) 13.78 ( 0.36 ) 3.54 ( 0.08 )\n", + "13 50 1000 0.1 20.0 0.13 2.23 ( 0.14 ) 24.37 ( 0.39 ) 1.36 ( 0.1 ) \n", + "29 50 1000 0.3 20.0 0.11 2.21 ( 0.15 ) 25.14 ( 0.35 ) 1.87 ( 0.1 ) \n", + "45 50 1000 0.5 20.0 0.09 2.17 ( 0.13 ) 25.13 ( 0.34 ) 2.69 ( 0.1 ) \n", + "61 50 1000 0.7 20.0 0.09 1.5 ( 0.08 ) 22.99 ( 0.35 ) 3.2 ( 0.09 ) \n", + "77 50 1000 0.9 20.0 0.08 0.9 ( 0.05 ) 18.15 ( 0.34 ) 3.92 ( 0.08 )\n", + "2 100 50 0.1 0.5 0.47 0.37 ( 0.01 ) 6.3 ( 0.43 ) 0 ( 0 ) \n", + "18 100 50 0.3 0.5 0.47 0.36 ( 0.01 ) 6.18 ( 0.36 ) 0 ( 0 ) \n", + "34 100 50 0.5 0.5 0.42 0.37 ( 0.01 ) 7.21 ( 0.33 ) 0.01 ( 0.01 )\n", + "50 100 50 0.7 0.5 0.39 0.37 ( 0.01 ) 7.9 ( 0.35 ) 0.05 ( 0.03 )\n", + "66 100 50 0.9 0.5 0.38 0.38 ( 0.02 ) 5.85 ( 0.3 ) 1.03 ( 0.11 )\n", + "6 100 100 0.1 1.0 0.44 0.4 ( 0.01 ) 7.71 ( 0.56 ) 0 ( 0 ) \n", + "22 100 100 0.3 1.0 0.38 0.41 ( 0.01 ) 9.43 ( 0.53 ) 0 ( 0 ) \n", + "38 100 100 0.5 1.0 0.36 0.44 ( 0.02 ) 10 ( 0.48 ) 0.02 ( 0.01 )\n", + "54 100 100 0.7 1.0 0.31 0.39 ( 0.01 ) 11.68 ( 0.51 ) 0.1 ( 0.04 ) \n", + "70 100 100 0.9 1.0 0.31 0.44 ( 0.01 ) 7.79 ( 0.39 ) 1.51 ( 0.11 )\n", + "... ... ... ... ... ... ... ... ... \n", + "11 500 500 0.1 1.00 0.55 0.28 ( 0 ) 5.86 ( 0.51 ) 0 ( 0 ) \n", + "27 500 500 0.3 1.00 0.55 0.29 ( 0 ) 5.89 ( 0.51 ) 0 ( 0 ) \n", + "43 500 500 0.5 1.00 0.40 0.29 ( 0 ) 9.79 ( 0.55 ) 0 ( 0 ) \n", + "59 500 500 0.7 1.00 0.36 0.3 ( 0 ) 11.31 ( 0.6 ) 0 ( 0 ) \n", + "75 500 500 0.9 1.00 0.25 0.3 ( 0 ) 18.18 ( 0.69 ) 0.03 ( 0.02 )\n", + "15 500 1000 0.1 2.00 0.49 0.28 ( 0 ) 7.08 ( 0.53 ) 0 ( 0 ) \n", + "31 500 1000 0.3 2.00 0.47 0.28 ( 0 ) 7.69 ( 0.63 ) 0 ( 0 ) \n", + "47 500 1000 0.5 2.00 0.39 0.3 ( 0 ) 10.46 ( 0.63 ) 0 ( 0 ) \n", + "63 500 1000 0.7 2.00 0.30 0.31 ( 0 ) 14.7 ( 0.84 ) 0 ( 0 ) \n", + "79 500 1000 0.9 2.00 0.20 0.31 ( 0 ) 24.62 ( 1.01 ) 0.05 ( 0.02 )\n", + "4 1000 50 0.1 0.05 0.89 0.27 ( 0 ) 1.66 ( 0.11 ) 0 ( 0 ) \n", + "20 1000 50 0.3 0.05 0.86 0.27 ( 0 ) 1.86 ( 0.11 ) 0 ( 0 ) \n", + "36 1000 50 0.5 0.05 0.78 0.27 ( 0 ) 2.46 ( 0.15 ) 0 ( 0 ) \n", + "52 1000 50 0.7 0.05 0.74 0.27 ( 0 ) 2.84 ( 0.14 ) 0 ( 0 ) \n", + "68 1000 50 0.9 0.05 0.76 0.27 ( 0 ) 2.71 ( 0.12 ) 0 ( 0 ) \n", + "8 1000 100 0.1 0.10 0.81 0.27 ( 0 ) 2.29 ( 0.23 ) 0 ( 0 ) \n", + "24 1000 100 0.3 0.10 0.80 0.27 ( 0 ) 2.36 ( 0.17 ) 0 ( 0 ) \n", + "40 1000 100 0.5 0.10 0.71 0.27 ( 0 ) 3.24 ( 0.22 ) 0 ( 0 ) \n", + "56 1000 100 0.7 0.10 0.63 0.27 ( 0 ) 4.24 ( 0.26 ) 0 ( 0 ) \n", + "72 1000 100 0.9 0.10 0.61 0.27 ( 0 ) 4.72 ( 0.21 ) 0 ( 0 ) \n", + "12 1000 500 0.1 0.50 0.78 0.28 ( 0 ) 2.69 ( 0.21 ) 0 ( 0 ) \n", + "28 1000 500 0.3 0.50 0.69 0.27 ( 0 ) 3.68 ( 0.32 ) 0 ( 0 ) \n", + "44 1000 500 0.5 0.50 0.51 0.28 ( 0 ) 6.66 ( 0.64 ) 0 ( 0 ) \n", + "60 1000 500 0.7 0.50 0.46 0.27 ( 0 ) 7.93 ( 0.49 ) 0 ( 0 ) \n", + "76 1000 500 0.9 0.50 0.33 0.28 ( 0 ) 12.68 ( 0.57 ) 0 ( 0 ) \n", + "16 1000 1000 0.1 1.00 0.70 0.27 ( 0 ) 3.59 ( 0.33 ) 0 ( 0 ) \n", + "32 1000 1000 0.3 1.00 0.58 0.27 ( 0 ) 5.27 ( 0.46 ) 0 ( 0 ) \n", + "48 1000 1000 0.5 1.00 0.48 0.28 ( 0 ) 7.42 ( 0.6 ) 0 ( 0 ) \n", + "64 1000 1000 0.7 1.00 0.41 0.28 ( 0 ) 9.63 ( 0.54 ) 0 ( 0 ) \n", + "80 1000 1000 0.9 1.00 0.25 0.28 ( 0 ) 18.51 ( 0.86 ) 0 ( 0 ) \n", + " num_select MSE_mean FP_mean FN_mean\n", + "1 13.57 0.62 8.59 0.02 \n", + "17 13.81 0.57 8.86 0.05 \n", + "33 13.34 0.63 8.51 0.17 \n", + "49 13.80 0.66 9.27 0.47 \n", + "65 8.48 0.55 5.65 2.17 \n", + "5 16.84 0.67 11.80 0.00 \n", + "21 15.95 0.76 11.10 0.17 \n", + "37 17.61 0.80 13.20 0.60 \n", + "53 15.31 0.80 11.50 1.26 \n", + "69 9.57 0.60 7.26 2.69 \n", + "9 25.16 1.61 20.80 0.69 \n", + "25 25.01 1.78 21.40 1.39 \n", + "41 24.76 1.73 21.60 1.93 \n", + "57 22.02 1.37 19.80 2.78 \n", + "73 15.24 0.81 13.70 3.54 \n", + "13 28.01 2.23 24.30 1.36 \n", + "29 28.27 2.21 25.10 1.87 \n", + "45 27.44 2.17 25.10 2.69 \n", + "61 24.79 1.50 22.90 3.20 \n", + "77 19.23 0.90 18.10 3.92 \n", + "2 11.30 0.37 6.30 0.00 \n", + "18 11.18 0.36 6.18 0.00 \n", + "34 12.20 0.37 7.21 0.01 \n", + "50 12.85 0.37 7.90 0.05 \n", + "66 9.82 0.38 5.85 1.03 \n", + "6 12.71 0.40 7.71 0.00 \n", + "22 14.43 0.41 9.43 0.00 \n", + "38 14.98 0.44 10.00 0.02 \n", + "54 16.58 0.39 11.60 0.10 \n", + "70 11.28 0.44 7.79 1.51 \n", + "... ... ... ... ... \n", + "11 10.86 0.28 5.86 0.00 \n", + "27 10.89 0.29 5.89 0.00 \n", + "43 14.79 0.29 9.79 0.00 \n", + "59 16.31 0.30 11.30 0.00 \n", + "75 23.15 0.30 18.10 0.03 \n", + "15 12.08 0.28 7.08 0.00 \n", + "31 12.69 0.28 7.69 0.00 \n", + "47 15.46 0.30 10.40 0.00 \n", + "63 19.70 0.31 14.70 0.00 \n", + "79 29.57 0.31 24.60 0.05 \n", + "4 6.66 0.27 1.66 0.00 \n", + "20 6.86 0.27 1.86 0.00 \n", + "36 7.46 0.27 2.46 0.00 \n", + "52 7.84 0.27 2.84 0.00 \n", + "68 7.71 0.27 2.71 0.00 \n", + "8 7.29 0.27 2.29 0.00 \n", + "24 7.36 0.27 2.36 0.00 \n", + "40 8.24 0.27 3.24 0.00 \n", + "56 9.24 0.27 4.24 0.00 \n", + "72 9.72 0.27 4.72 0.00 \n", + "12 7.69 0.28 2.69 0.00 \n", + "28 8.68 0.27 3.68 0.00 \n", + "44 11.66 0.28 6.66 0.00 \n", + "60 12.93 0.27 7.93 0.00 \n", + "76 17.68 0.28 12.60 0.00 \n", + "16 8.59 0.27 3.59 0.00 \n", + "32 10.27 0.27 5.27 0.00 \n", + "48 12.42 0.28 7.42 0.00 \n", + "64 14.63 0.28 9.63 0.00 \n", + "80 23.51 0.28 18.50 0.00 " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "result.table_toe[with(result.table_toe, order(N, P, Corr)),]" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "R", + "language": "R", + "name": "ir" + }, + "language_info": { + "codemirror_mode": "r", + "file_extension": ".r", + "mimetype": "text/x-r-source", + "name": "R", + "pygments_lexer": "r", + "version": "3.6.1" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/simulations/notebooks_simulations/sim_toe_rf.ipynb b/simulations/notebooks_simulations/sim_toe_rf.ipynb new file mode 100644 index 0000000..361989e --- /dev/null +++ b/simulations/notebooks_simulations/sim_toe_rf.ipynb @@ -0,0 +1,1194 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "load('../sim_data/toe_RF.RData')" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "dir = '../sim_data'\n", + "dim.list = list()\n", + "size = c(50, 100, 500, 1000)\n", + "idx = 0\n", + "for (P in size){\n", + " for (N in size){\n", + " idx = idx + 1\n", + " dim.list[[idx]] = c(P=P, N=N)\n", + " }\n", + "}\n", + "\n", + "rou.list = seq(0.1, 0.9, 0.2)\n", + "\n", + "files = NULL\n", + "for (rou in rou.list){\n", + " for (dim in dim.list){\n", + " p = dim[1]\n", + " n = dim[2]\n", + " files = cbind(files, paste0(dir, '/sim_toeplitz_corr', rou, paste('P', p, 'N', n, sep='_'), '.RData', sep=''))\n", + " }\n", + "}" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "avg_FDR = NULL\n", + "for (i in 1:length(files)){\n", + " sim_file = files[i]\n", + " load(sim_file, dat <- new.env())\n", + " sub = dat$sim_array[[i]]\n", + " p = sub$p # take true values from 1st replicate of each simulated data\n", + " coef = sub$beta\n", + " coef.true = which(coef != 0)\n", + " \n", + " tt = results_toe_rf[[i]]$Stab.table\n", + " \n", + " FDR = NULL\n", + " for (r in 1:nrow(tt)){\n", + " FDR = c(FDR, length(setdiff(which(tt[r, ] !=0), coef.true))/sum(tt[r, ]))\n", + "\n", + " }\n", + " \n", + " avg_FDR = c(avg_FDR, mean(FDR, na.rm=T))\n", + "}" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "table_toe = NULL\n", + "tmp_num_select = rep(0, length(results_toe_rf))\n", + "for (i in 1:length(results_toe_rf)){\n", + " results_toe_rf[[i]]$OOB = paste(round(mean(results_toe_rf[[i]]$OOB.list, na.rm=T),2),\n", + " '(', round(FSA::se(results_toe_rf[[i]]$OOB.list, na.rm=T),2), ')')\n", + " table_toe = rbind(table_toe, results_toe_rf[[i]][c('n', 'p', 'rou', 'FP', 'FN', 'MSE', 'Stab', 'OOB')])\n", + " tmp_num_select[i] = mean(rowSums(results_toe_rf[[i]]$Stab.table))\n", + "}\n", + "table_toe = as.data.frame(table_toe)\n", + "table_toe$num_select = tmp_num_select\n", + "table_toe$FDR = round(avg_FDR,2)" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", + "\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\n", + "
    nprouFPFNMSEStabOOBnum_selectFDR
    50 50 0.1 1 ( 0 ) 6 ( 0 ) 1.4 ( 0.06 ) NaN 1.98 ( 0.02 )0.00 NaN
    100 50 0.1 1.87 ( 0.14 )4.25 ( 0.09 )0.86 ( 0.03 )0.19 1.76 ( 0.01 )3.62 0.48
    500 50 0.1 0.32 ( 0.05 )1.81 ( 0.07 )0.44 ( 0.01 )0.77 1.29 ( 0 ) 4.51 0.06
    1000 50 0.1 0.15 ( 0.04 )0.93 ( 0.07 )0.34 ( 0 ) 0.86 1.15 ( 0 ) 5.22 0.02
    50 100 0.1 1 ( 0 ) 6 ( 0 ) 1.36 ( 0.06 )NaN 2.19 ( 0.02 )0.00 NaN
    100 100 0.1 4.11 ( 0.18 )4.17 ( 0.1 ) 0.93 ( 0.03 )0.12 1.99 ( 0.01 )5.93 0.68
    \n" + ], + "text/latex": [ + "\\begin{tabular}{r|llllllllll}\n", + " n & p & rou & FP & FN & MSE & Stab & OOB & num\\_select & FDR\\\\\n", + "\\hline\n", + "\t 50 & 50 & 0.1 & 1 ( 0 ) & 6 ( 0 ) & 1.4 ( 0.06 ) & NaN & 1.98 ( 0.02 ) & 0.00 & NaN \\\\\n", + "\t 100 & 50 & 0.1 & 1.87 ( 0.14 ) & 4.25 ( 0.09 ) & 0.86 ( 0.03 ) & 0.19 & 1.76 ( 0.01 ) & 3.62 & 0.48 \\\\\n", + "\t 500 & 50 & 0.1 & 0.32 ( 0.05 ) & 1.81 ( 0.07 ) & 0.44 ( 0.01 ) & 0.77 & 1.29 ( 0 ) & 4.51 & 0.06 \\\\\n", + "\t 1000 & 50 & 0.1 & 0.15 ( 0.04 ) & 0.93 ( 0.07 ) & 0.34 ( 0 ) & 0.86 & 1.15 ( 0 ) & 5.22 & 0.02 \\\\\n", + "\t 50 & 100 & 0.1 & 1 ( 0 ) & 6 ( 0 ) & 1.36 ( 0.06 ) & NaN & 2.19 ( 0.02 ) & 0.00 & NaN \\\\\n", + "\t 100 & 100 & 0.1 & 4.11 ( 0.18 ) & 4.17 ( 0.1 ) & 0.93 ( 0.03 ) & 0.12 & 1.99 ( 0.01 ) & 5.93 & 0.68 \\\\\n", + "\\end{tabular}\n" + ], + "text/markdown": [ + "\n", + "| n | p | rou | FP | FN | MSE | Stab | OOB | num_select | FDR |\n", + "|---|---|---|---|---|---|---|---|---|---|\n", + "| 50 | 50 | 0.1 | 1 ( 0 ) | 6 ( 0 ) | 1.4 ( 0.06 ) | NaN | 1.98 ( 0.02 ) | 0.00 | NaN |\n", + "| 100 | 50 | 0.1 | 1.87 ( 0.14 ) | 4.25 ( 0.09 ) | 0.86 ( 0.03 ) | 0.19 | 1.76 ( 0.01 ) | 3.62 | 0.48 |\n", + "| 500 | 50 | 0.1 | 0.32 ( 0.05 ) | 1.81 ( 0.07 ) | 0.44 ( 0.01 ) | 0.77 | 1.29 ( 0 ) | 4.51 | 0.06 |\n", + "| 1000 | 50 | 0.1 | 0.15 ( 0.04 ) | 0.93 ( 0.07 ) | 0.34 ( 0 ) | 0.86 | 1.15 ( 0 ) | 5.22 | 0.02 |\n", + "| 50 | 100 | 0.1 | 1 ( 0 ) | 6 ( 0 ) | 1.36 ( 0.06 ) | NaN | 2.19 ( 0.02 ) | 0.00 | NaN |\n", + "| 100 | 100 | 0.1 | 4.11 ( 0.18 ) | 4.17 ( 0.1 ) | 0.93 ( 0.03 ) | 0.12 | 1.99 ( 0.01 ) | 5.93 | 0.68 |\n", + "\n" + ], + "text/plain": [ + " n p rou FP FN MSE Stab OOB \n", + "1 50 50 0.1 1 ( 0 ) 6 ( 0 ) 1.4 ( 0.06 ) NaN 1.98 ( 0.02 )\n", + "2 100 50 0.1 1.87 ( 0.14 ) 4.25 ( 0.09 ) 0.86 ( 0.03 ) 0.19 1.76 ( 0.01 )\n", + "3 500 50 0.1 0.32 ( 0.05 ) 1.81 ( 0.07 ) 0.44 ( 0.01 ) 0.77 1.29 ( 0 ) \n", + "4 1000 50 0.1 0.15 ( 0.04 ) 0.93 ( 0.07 ) 0.34 ( 0 ) 0.86 1.15 ( 0 ) \n", + "5 50 100 0.1 1 ( 0 ) 6 ( 0 ) 1.36 ( 0.06 ) NaN 2.19 ( 0.02 )\n", + "6 100 100 0.1 4.11 ( 0.18 ) 4.17 ( 0.1 ) 0.93 ( 0.03 ) 0.12 1.99 ( 0.01 )\n", + " num_select FDR \n", + "1 0.00 NaN\n", + "2 3.62 0.48\n", + "3 4.51 0.06\n", + "4 5.22 0.02\n", + "5 0.00 NaN\n", + "6 5.93 0.68" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "head(table_toe)" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "extract_numeric() is deprecated: please use readr::parse_number() instead\n", + "extract_numeric() is deprecated: please use readr::parse_number() instead\n" + ] + } + ], + "source": [ + "# export result\n", + "result.table_toe <- apply(table_toe,2,as.character)\n", + "rownames(result.table_toe) = rownames(table_toe)\n", + "result.table_toe = as.data.frame(result.table_toe)\n", + "\n", + "# extract numbers only for 'n' & 'p'\n", + "result.table_toe$n = tidyr::extract_numeric(result.table_toe$n)\n", + "result.table_toe$p = tidyr::extract_numeric(result.table_toe$p)\n", + "result.table_toe$ratio = result.table_toe$p / result.table_toe$n\n", + "\n", + "result.table_toe = result.table_toe[c('n', 'p', 'rou', 'ratio', 'Stab', 'MSE', 'FP', 'FN', 'OOB', 'num_select', 'FDR')]\n", + "colnames(result.table_toe)[1:4] = c('N', 'P', 'Corr', 'Ratio')" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", + "\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\n", + "
    NPCorrRatioStabMSEFPFNOOBnum_selectFDR
    50 50 0.1 1.00 NaN 1.4 ( 0.06 ) 1 ( 0 ) 6 ( 0 ) 1.98 ( 0.02 )0 NaN
    100 50 0.1 0.50 0.19 0.86 ( 0.03 )1.87 ( 0.14 )4.25 ( 0.09 )1.76 ( 0.01 )3.62 0.48
    500 50 0.1 0.10 0.77 0.44 ( 0.01 )0.32 ( 0.05 )1.81 ( 0.07 )1.29 ( 0 ) 4.51 0.06
    1000 50 0.1 0.05 0.86 0.34 ( 0 ) 0.15 ( 0.04 )0.93 ( 0.07 )1.15 ( 0 ) 5.22 0.02
    50 100 0.1 2.00 NaN 1.36 ( 0.06 )1 ( 0 ) 6 ( 0 ) 2.19 ( 0.02 )0 NaN
    100 100 0.1 1.00 0.12 0.93 ( 0.03 )4.11 ( 0.18 )4.17 ( 0.1 ) 1.99 ( 0.01 )5.93 0.68
    \n" + ], + "text/latex": [ + "\\begin{tabular}{r|lllllllllll}\n", + " N & P & Corr & Ratio & Stab & MSE & FP & FN & OOB & num\\_select & FDR\\\\\n", + "\\hline\n", + "\t 50 & 50 & 0.1 & 1.00 & NaN & 1.4 ( 0.06 ) & 1 ( 0 ) & 6 ( 0 ) & 1.98 ( 0.02 ) & 0 & NaN \\\\\n", + "\t 100 & 50 & 0.1 & 0.50 & 0.19 & 0.86 ( 0.03 ) & 1.87 ( 0.14 ) & 4.25 ( 0.09 ) & 1.76 ( 0.01 ) & 3.62 & 0.48 \\\\\n", + "\t 500 & 50 & 0.1 & 0.10 & 0.77 & 0.44 ( 0.01 ) & 0.32 ( 0.05 ) & 1.81 ( 0.07 ) & 1.29 ( 0 ) & 4.51 & 0.06 \\\\\n", + "\t 1000 & 50 & 0.1 & 0.05 & 0.86 & 0.34 ( 0 ) & 0.15 ( 0.04 ) & 0.93 ( 0.07 ) & 1.15 ( 0 ) & 5.22 & 0.02 \\\\\n", + "\t 50 & 100 & 0.1 & 2.00 & NaN & 1.36 ( 0.06 ) & 1 ( 0 ) & 6 ( 0 ) & 2.19 ( 0.02 ) & 0 & NaN \\\\\n", + "\t 100 & 100 & 0.1 & 1.00 & 0.12 & 0.93 ( 0.03 ) & 4.11 ( 0.18 ) & 4.17 ( 0.1 ) & 1.99 ( 0.01 ) & 5.93 & 0.68 \\\\\n", + "\\end{tabular}\n" + ], + "text/markdown": [ + "\n", + "| N | P | Corr | Ratio | Stab | MSE | FP | FN | OOB | num_select | FDR |\n", + "|---|---|---|---|---|---|---|---|---|---|---|\n", + "| 50 | 50 | 0.1 | 1.00 | NaN | 1.4 ( 0.06 ) | 1 ( 0 ) | 6 ( 0 ) | 1.98 ( 0.02 ) | 0 | NaN |\n", + "| 100 | 50 | 0.1 | 0.50 | 0.19 | 0.86 ( 0.03 ) | 1.87 ( 0.14 ) | 4.25 ( 0.09 ) | 1.76 ( 0.01 ) | 3.62 | 0.48 |\n", + "| 500 | 50 | 0.1 | 0.10 | 0.77 | 0.44 ( 0.01 ) | 0.32 ( 0.05 ) | 1.81 ( 0.07 ) | 1.29 ( 0 ) | 4.51 | 0.06 |\n", + "| 1000 | 50 | 0.1 | 0.05 | 0.86 | 0.34 ( 0 ) | 0.15 ( 0.04 ) | 0.93 ( 0.07 ) | 1.15 ( 0 ) | 5.22 | 0.02 |\n", + "| 50 | 100 | 0.1 | 2.00 | NaN | 1.36 ( 0.06 ) | 1 ( 0 ) | 6 ( 0 ) | 2.19 ( 0.02 ) | 0 | NaN |\n", + "| 100 | 100 | 0.1 | 1.00 | 0.12 | 0.93 ( 0.03 ) | 4.11 ( 0.18 ) | 4.17 ( 0.1 ) | 1.99 ( 0.01 ) | 5.93 | 0.68 |\n", + "\n" + ], + "text/plain": [ + " N P Corr Ratio Stab MSE FP FN \n", + "1 50 50 0.1 1.00 NaN 1.4 ( 0.06 ) 1 ( 0 ) 6 ( 0 ) \n", + "2 100 50 0.1 0.50 0.19 0.86 ( 0.03 ) 1.87 ( 0.14 ) 4.25 ( 0.09 )\n", + "3 500 50 0.1 0.10 0.77 0.44 ( 0.01 ) 0.32 ( 0.05 ) 1.81 ( 0.07 )\n", + "4 1000 50 0.1 0.05 0.86 0.34 ( 0 ) 0.15 ( 0.04 ) 0.93 ( 0.07 )\n", + "5 50 100 0.1 2.00 NaN 1.36 ( 0.06 ) 1 ( 0 ) 6 ( 0 ) \n", + "6 100 100 0.1 1.00 0.12 0.93 ( 0.03 ) 4.11 ( 0.18 ) 4.17 ( 0.1 ) \n", + " OOB num_select FDR \n", + "1 1.98 ( 0.02 ) 0 NaN \n", + "2 1.76 ( 0.01 ) 3.62 0.48\n", + "3 1.29 ( 0 ) 4.51 0.06\n", + "4 1.15 ( 0 ) 5.22 0.02\n", + "5 2.19 ( 0.02 ) 0 NaN \n", + "6 1.99 ( 0.01 ) 5.93 0.68" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "head(result.table_toe)" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Warning message in eval(expr, envir, enclos):\n", + "“NAs introduced by coercion”Warning message in eval(expr, envir, enclos):\n", + "“NAs introduced by coercion”Warning message in eval(expr, envir, enclos):\n", + "“NAs introduced by coercion”Warning message in eval(expr, envir, enclos):\n", + "“NAs introduced by coercion”" + ] + } + ], + "source": [ + "# convert interested measurements to be numeric\n", + "result.table_toe$Stab = as.numeric(as.character(result.table_toe$Stab))\n", + "result.table_toe$MSE_mean = as.numeric(substr(result.table_toe$MSE, start=1, stop=4))\n", + "result.table_toe$FP_mean = as.numeric(substr(result.table_toe$FP, start=1, stop=4))\n", + "result.table_toe$FN_mean = as.numeric(substr(result.table_toe$FN, start=1, stop=4))\n", + "result.table_toe$FN_mean[is.na(result.table_toe$FN_mean)] = 0\n", + "result.table_toe$OOB_mean = as.numeric(substr(result.table_toe$OOB, start=1, stop=4))\n", + "result.table_toe$num_select = as.numeric(as.character(result.table_toe$num_select))" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", + "\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\n", + "
    NPCorrRatioStabMSEFPFNOOBnum_selectFDRMSE_meanFP_meanFN_meanOOB_mean
    1 50 50 0.1 1 NaN 1.4 ( 0.06 ) 1 ( 0 ) 6 ( 0 ) 1.98 ( 0.02 ) 0.00 NaN 1.40 NA 0.00 1.98
    5 50 100 0.1 2 NaN 1.36 ( 0.06 )1 ( 0 ) 6 ( 0 ) 2.19 ( 0.02 ) 0.00 NaN 1.36 NA 0.00 2.19
    9 50 500 0.1 10 NaN 1.29 ( 0.05 )1 ( 0 ) 6 ( 0 ) 2.39 ( 0.02 ) 0.00 NaN 1.29 NA 0.00 2.39
    13 50 1000 0.1 20 NaN 1.35 ( 0.06 )1 ( 0 ) 6 ( 0 ) 2.42 ( 0.02 ) 0.00 NaN 1.35 NA 0.00 2.42
    14100 1000 0.1 10 0.01 1 ( 0.03 ) 49.42 ( 0.7 )4.71 ( 0.09 )2.39 ( 0.02 )50.71 0.97 NA 49.4 4.71 2.39
    17 50 50 0.3 1 NaN 1.22 ( 0.05 )1 ( 0 ) 6 ( 0 ) 1.87 ( 0.02 ) 0.00 NaN 1.22 NA 0.00 1.87
    21 50 100 0.3 2 NaN 1.15 ( 0.05 )1 ( 0 ) 6 ( 0 ) 2.03 ( 0.02 ) 0.00 NaN 1.15 NA 0.00 2.03
    25 50 500 0.3 10 NaN 1.14 ( 0.05 )1 ( 0 ) 6 ( 0 ) 2.24 ( 0.02 ) 0.00 NaN 1.14 NA 0.00 2.24
    29 50 1000 0.3 20 NaN 1.2 ( 0.05 ) 1 ( 0 ) 6 ( 0 ) 2.29 ( 0.02 ) 0.00 NaN 1.20 NA 0.00 2.29
    33 50 50 0.5 1 NaN 0.99 ( 0.05 )1 ( 0 ) 6 ( 0 ) 1.68 ( 0.02 ) 0.00 NaN 0.99 NA 0.00 1.68
    37 50 100 0.5 2 NaN 0.91 ( 0.04 )1 ( 0 ) 6 ( 0 ) 1.84 ( 0.02 ) 0.00 NaN 0.91 NA 0.00 1.84
    41 50 500 0.5 10 NaN 0.95 ( 0.04 )1 ( 0 ) 6 ( 0 ) 2.04 ( 0.02 ) 0.00 NaN 0.95 NA 0.00 2.04
    45 50 1000 0.5 20 NaN 0.94 ( 0.04 )1 ( 0 ) 6 ( 0 ) 2.04 ( 0.02 ) 0.00 NaN 0.94 NA 0.00 2.04
    49 50 50 0.7 1 NaN 0.66 ( 0.03 )1 ( 0 ) 6 ( 0 ) 1.44 ( 0.01 ) 0.00 NaN 0.66 NA 0.00 1.44
    53 50 100 0.7 2 NaN 0.67 ( 0.03 )1 ( 0 ) 6 ( 0 ) 1.5 ( 0.02 ) 0.00 NaN 0.67 NA 0.00 1.50
    57 50 500 0.7 10 NaN 0.7 ( 0.03 ) 1 ( 0 ) 6 ( 0 ) 1.68 ( 0.02 ) 0.00 NaN 0.70 NA 0.00 1.68
    61 50 1000 0.7 20 NaN 0.74 ( 0.03 )1 ( 0 ) 6 ( 0 ) 1.69 ( 0.02 ) 0.00 NaN 0.74 NA 0.00 1.69
    65 50 50 0.9 1 NaN 0.27 ( 0.01 )1 ( 0 ) 6 ( 0 ) 0.96 ( 0.01 ) 0.00 NaN 0.27 NA 0.00 0.96
    69 50 100 0.9 2 NaN 0.3 ( 0.01 ) 1 ( 0 ) 6 ( 0 ) 1 ( 0.01 ) 0.00 NaN 0.30 NA 0.00 NA
    73 50 500 0.9 10 NaN 0.29 ( 0.01 )1 ( 0 ) 6 ( 0 ) 1.1 ( 0.01 ) 0.00 NaN 0.29 NA 0.00 1.10
    77 50 1000 0.9 20 NaN 0.29 ( 0.01 )1 ( 0 ) 6 ( 0 ) 1.11 ( 0.01 ) 0.00 NaN 0.29 NA 0.00 1.11
    \n" + ], + "text/latex": [ + "\\begin{tabular}{r|lllllllllllllll}\n", + " & N & P & Corr & Ratio & Stab & MSE & FP & FN & OOB & num\\_select & FDR & MSE\\_mean & FP\\_mean & FN\\_mean & OOB\\_mean\\\\\n", + "\\hline\n", + "\t1 & 50 & 50 & 0.1 & 1 & NaN & 1.4 ( 0.06 ) & 1 ( 0 ) & 6 ( 0 ) & 1.98 ( 0.02 ) & 0.00 & NaN & 1.40 & NA & 0.00 & 1.98 \\\\\n", + "\t5 & 50 & 100 & 0.1 & 2 & NaN & 1.36 ( 0.06 ) & 1 ( 0 ) & 6 ( 0 ) & 2.19 ( 0.02 ) & 0.00 & NaN & 1.36 & NA & 0.00 & 2.19 \\\\\n", + "\t9 & 50 & 500 & 0.1 & 10 & NaN & 1.29 ( 0.05 ) & 1 ( 0 ) & 6 ( 0 ) & 2.39 ( 0.02 ) & 0.00 & NaN & 1.29 & NA & 0.00 & 2.39 \\\\\n", + "\t13 & 50 & 1000 & 0.1 & 20 & NaN & 1.35 ( 0.06 ) & 1 ( 0 ) & 6 ( 0 ) & 2.42 ( 0.02 ) & 0.00 & NaN & 1.35 & NA & 0.00 & 2.42 \\\\\n", + "\t14 & 100 & 1000 & 0.1 & 10 & 0.01 & 1 ( 0.03 ) & 49.42 ( 0.7 ) & 4.71 ( 0.09 ) & 2.39 ( 0.02 ) & 50.71 & 0.97 & NA & 49.4 & 4.71 & 2.39 \\\\\n", + "\t17 & 50 & 50 & 0.3 & 1 & NaN & 1.22 ( 0.05 ) & 1 ( 0 ) & 6 ( 0 ) & 1.87 ( 0.02 ) & 0.00 & NaN & 1.22 & NA & 0.00 & 1.87 \\\\\n", + "\t21 & 50 & 100 & 0.3 & 2 & NaN & 1.15 ( 0.05 ) & 1 ( 0 ) & 6 ( 0 ) & 2.03 ( 0.02 ) & 0.00 & NaN & 1.15 & NA & 0.00 & 2.03 \\\\\n", + "\t25 & 50 & 500 & 0.3 & 10 & NaN & 1.14 ( 0.05 ) & 1 ( 0 ) & 6 ( 0 ) & 2.24 ( 0.02 ) & 0.00 & NaN & 1.14 & NA & 0.00 & 2.24 \\\\\n", + "\t29 & 50 & 1000 & 0.3 & 20 & NaN & 1.2 ( 0.05 ) & 1 ( 0 ) & 6 ( 0 ) & 2.29 ( 0.02 ) & 0.00 & NaN & 1.20 & NA & 0.00 & 2.29 \\\\\n", + "\t33 & 50 & 50 & 0.5 & 1 & NaN & 0.99 ( 0.05 ) & 1 ( 0 ) & 6 ( 0 ) & 1.68 ( 0.02 ) & 0.00 & NaN & 0.99 & NA & 0.00 & 1.68 \\\\\n", + "\t37 & 50 & 100 & 0.5 & 2 & NaN & 0.91 ( 0.04 ) & 1 ( 0 ) & 6 ( 0 ) & 1.84 ( 0.02 ) & 0.00 & NaN & 0.91 & NA & 0.00 & 1.84 \\\\\n", + "\t41 & 50 & 500 & 0.5 & 10 & NaN & 0.95 ( 0.04 ) & 1 ( 0 ) & 6 ( 0 ) & 2.04 ( 0.02 ) & 0.00 & NaN & 0.95 & NA & 0.00 & 2.04 \\\\\n", + "\t45 & 50 & 1000 & 0.5 & 20 & NaN & 0.94 ( 0.04 ) & 1 ( 0 ) & 6 ( 0 ) & 2.04 ( 0.02 ) & 0.00 & NaN & 0.94 & NA & 0.00 & 2.04 \\\\\n", + "\t49 & 50 & 50 & 0.7 & 1 & NaN & 0.66 ( 0.03 ) & 1 ( 0 ) & 6 ( 0 ) & 1.44 ( 0.01 ) & 0.00 & NaN & 0.66 & NA & 0.00 & 1.44 \\\\\n", + "\t53 & 50 & 100 & 0.7 & 2 & NaN & 0.67 ( 0.03 ) & 1 ( 0 ) & 6 ( 0 ) & 1.5 ( 0.02 ) & 0.00 & NaN & 0.67 & NA & 0.00 & 1.50 \\\\\n", + "\t57 & 50 & 500 & 0.7 & 10 & NaN & 0.7 ( 0.03 ) & 1 ( 0 ) & 6 ( 0 ) & 1.68 ( 0.02 ) & 0.00 & NaN & 0.70 & NA & 0.00 & 1.68 \\\\\n", + "\t61 & 50 & 1000 & 0.7 & 20 & NaN & 0.74 ( 0.03 ) & 1 ( 0 ) & 6 ( 0 ) & 1.69 ( 0.02 ) & 0.00 & NaN & 0.74 & NA & 0.00 & 1.69 \\\\\n", + "\t65 & 50 & 50 & 0.9 & 1 & NaN & 0.27 ( 0.01 ) & 1 ( 0 ) & 6 ( 0 ) & 0.96 ( 0.01 ) & 0.00 & NaN & 0.27 & NA & 0.00 & 0.96 \\\\\n", + "\t69 & 50 & 100 & 0.9 & 2 & NaN & 0.3 ( 0.01 ) & 1 ( 0 ) & 6 ( 0 ) & 1 ( 0.01 ) & 0.00 & NaN & 0.30 & NA & 0.00 & NA \\\\\n", + "\t73 & 50 & 500 & 0.9 & 10 & NaN & 0.29 ( 0.01 ) & 1 ( 0 ) & 6 ( 0 ) & 1.1 ( 0.01 ) & 0.00 & NaN & 0.29 & NA & 0.00 & 1.10 \\\\\n", + "\t77 & 50 & 1000 & 0.9 & 20 & NaN & 0.29 ( 0.01 ) & 1 ( 0 ) & 6 ( 0 ) & 1.11 ( 0.01 ) & 0.00 & NaN & 0.29 & NA & 0.00 & 1.11 \\\\\n", + "\\end{tabular}\n" + ], + "text/markdown": [ + "\n", + "| | N | P | Corr | Ratio | Stab | MSE | FP | FN | OOB | num_select | FDR | MSE_mean | FP_mean | FN_mean | OOB_mean |\n", + "|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n", + "| 1 | 50 | 50 | 0.1 | 1 | NaN | 1.4 ( 0.06 ) | 1 ( 0 ) | 6 ( 0 ) | 1.98 ( 0.02 ) | 0.00 | NaN | 1.40 | NA | 0.00 | 1.98 |\n", + "| 5 | 50 | 100 | 0.1 | 2 | NaN | 1.36 ( 0.06 ) | 1 ( 0 ) | 6 ( 0 ) | 2.19 ( 0.02 ) | 0.00 | NaN | 1.36 | NA | 0.00 | 2.19 |\n", + "| 9 | 50 | 500 | 0.1 | 10 | NaN | 1.29 ( 0.05 ) | 1 ( 0 ) | 6 ( 0 ) | 2.39 ( 0.02 ) | 0.00 | NaN | 1.29 | NA | 0.00 | 2.39 |\n", + "| 13 | 50 | 1000 | 0.1 | 20 | NaN | 1.35 ( 0.06 ) | 1 ( 0 ) | 6 ( 0 ) | 2.42 ( 0.02 ) | 0.00 | NaN | 1.35 | NA | 0.00 | 2.42 |\n", + "| 14 | 100 | 1000 | 0.1 | 10 | 0.01 | 1 ( 0.03 ) | 49.42 ( 0.7 ) | 4.71 ( 0.09 ) | 2.39 ( 0.02 ) | 50.71 | 0.97 | NA | 49.4 | 4.71 | 2.39 |\n", + "| 17 | 50 | 50 | 0.3 | 1 | NaN | 1.22 ( 0.05 ) | 1 ( 0 ) | 6 ( 0 ) | 1.87 ( 0.02 ) | 0.00 | NaN | 1.22 | NA | 0.00 | 1.87 |\n", + "| 21 | 50 | 100 | 0.3 | 2 | NaN | 1.15 ( 0.05 ) | 1 ( 0 ) | 6 ( 0 ) | 2.03 ( 0.02 ) | 0.00 | NaN | 1.15 | NA | 0.00 | 2.03 |\n", + "| 25 | 50 | 500 | 0.3 | 10 | NaN | 1.14 ( 0.05 ) | 1 ( 0 ) | 6 ( 0 ) | 2.24 ( 0.02 ) | 0.00 | NaN | 1.14 | NA | 0.00 | 2.24 |\n", + "| 29 | 50 | 1000 | 0.3 | 20 | NaN | 1.2 ( 0.05 ) | 1 ( 0 ) | 6 ( 0 ) | 2.29 ( 0.02 ) | 0.00 | NaN | 1.20 | NA | 0.00 | 2.29 |\n", + "| 33 | 50 | 50 | 0.5 | 1 | NaN | 0.99 ( 0.05 ) | 1 ( 0 ) | 6 ( 0 ) | 1.68 ( 0.02 ) | 0.00 | NaN | 0.99 | NA | 0.00 | 1.68 |\n", + "| 37 | 50 | 100 | 0.5 | 2 | NaN | 0.91 ( 0.04 ) | 1 ( 0 ) | 6 ( 0 ) | 1.84 ( 0.02 ) | 0.00 | NaN | 0.91 | NA | 0.00 | 1.84 |\n", + "| 41 | 50 | 500 | 0.5 | 10 | NaN | 0.95 ( 0.04 ) | 1 ( 0 ) | 6 ( 0 ) | 2.04 ( 0.02 ) | 0.00 | NaN | 0.95 | NA | 0.00 | 2.04 |\n", + "| 45 | 50 | 1000 | 0.5 | 20 | NaN | 0.94 ( 0.04 ) | 1 ( 0 ) | 6 ( 0 ) | 2.04 ( 0.02 ) | 0.00 | NaN | 0.94 | NA | 0.00 | 2.04 |\n", + "| 49 | 50 | 50 | 0.7 | 1 | NaN | 0.66 ( 0.03 ) | 1 ( 0 ) | 6 ( 0 ) | 1.44 ( 0.01 ) | 0.00 | NaN | 0.66 | NA | 0.00 | 1.44 |\n", + "| 53 | 50 | 100 | 0.7 | 2 | NaN | 0.67 ( 0.03 ) | 1 ( 0 ) | 6 ( 0 ) | 1.5 ( 0.02 ) | 0.00 | NaN | 0.67 | NA | 0.00 | 1.50 |\n", + "| 57 | 50 | 500 | 0.7 | 10 | NaN | 0.7 ( 0.03 ) | 1 ( 0 ) | 6 ( 0 ) | 1.68 ( 0.02 ) | 0.00 | NaN | 0.70 | NA | 0.00 | 1.68 |\n", + "| 61 | 50 | 1000 | 0.7 | 20 | NaN | 0.74 ( 0.03 ) | 1 ( 0 ) | 6 ( 0 ) | 1.69 ( 0.02 ) | 0.00 | NaN | 0.74 | NA | 0.00 | 1.69 |\n", + "| 65 | 50 | 50 | 0.9 | 1 | NaN | 0.27 ( 0.01 ) | 1 ( 0 ) | 6 ( 0 ) | 0.96 ( 0.01 ) | 0.00 | NaN | 0.27 | NA | 0.00 | 0.96 |\n", + "| 69 | 50 | 100 | 0.9 | 2 | NaN | 0.3 ( 0.01 ) | 1 ( 0 ) | 6 ( 0 ) | 1 ( 0.01 ) | 0.00 | NaN | 0.30 | NA | 0.00 | NA |\n", + "| 73 | 50 | 500 | 0.9 | 10 | NaN | 0.29 ( 0.01 ) | 1 ( 0 ) | 6 ( 0 ) | 1.1 ( 0.01 ) | 0.00 | NaN | 0.29 | NA | 0.00 | 1.10 |\n", + "| 77 | 50 | 1000 | 0.9 | 20 | NaN | 0.29 ( 0.01 ) | 1 ( 0 ) | 6 ( 0 ) | 1.11 ( 0.01 ) | 0.00 | NaN | 0.29 | NA | 0.00 | 1.11 |\n", + "\n" + ], + "text/plain": [ + " N P Corr Ratio Stab MSE FP FN \n", + "1 50 50 0.1 1 NaN 1.4 ( 0.06 ) 1 ( 0 ) 6 ( 0 ) \n", + "5 50 100 0.1 2 NaN 1.36 ( 0.06 ) 1 ( 0 ) 6 ( 0 ) \n", + "9 50 500 0.1 10 NaN 1.29 ( 0.05 ) 1 ( 0 ) 6 ( 0 ) \n", + "13 50 1000 0.1 20 NaN 1.35 ( 0.06 ) 1 ( 0 ) 6 ( 0 ) \n", + "14 100 1000 0.1 10 0.01 1 ( 0.03 ) 49.42 ( 0.7 ) 4.71 ( 0.09 )\n", + "17 50 50 0.3 1 NaN 1.22 ( 0.05 ) 1 ( 0 ) 6 ( 0 ) \n", + "21 50 100 0.3 2 NaN 1.15 ( 0.05 ) 1 ( 0 ) 6 ( 0 ) \n", + "25 50 500 0.3 10 NaN 1.14 ( 0.05 ) 1 ( 0 ) 6 ( 0 ) \n", + "29 50 1000 0.3 20 NaN 1.2 ( 0.05 ) 1 ( 0 ) 6 ( 0 ) \n", + "33 50 50 0.5 1 NaN 0.99 ( 0.05 ) 1 ( 0 ) 6 ( 0 ) \n", + "37 50 100 0.5 2 NaN 0.91 ( 0.04 ) 1 ( 0 ) 6 ( 0 ) \n", + "41 50 500 0.5 10 NaN 0.95 ( 0.04 ) 1 ( 0 ) 6 ( 0 ) \n", + "45 50 1000 0.5 20 NaN 0.94 ( 0.04 ) 1 ( 0 ) 6 ( 0 ) \n", + "49 50 50 0.7 1 NaN 0.66 ( 0.03 ) 1 ( 0 ) 6 ( 0 ) \n", + "53 50 100 0.7 2 NaN 0.67 ( 0.03 ) 1 ( 0 ) 6 ( 0 ) \n", + "57 50 500 0.7 10 NaN 0.7 ( 0.03 ) 1 ( 0 ) 6 ( 0 ) \n", + "61 50 1000 0.7 20 NaN 0.74 ( 0.03 ) 1 ( 0 ) 6 ( 0 ) \n", + "65 50 50 0.9 1 NaN 0.27 ( 0.01 ) 1 ( 0 ) 6 ( 0 ) \n", + "69 50 100 0.9 2 NaN 0.3 ( 0.01 ) 1 ( 0 ) 6 ( 0 ) \n", + "73 50 500 0.9 10 NaN 0.29 ( 0.01 ) 1 ( 0 ) 6 ( 0 ) \n", + "77 50 1000 0.9 20 NaN 0.29 ( 0.01 ) 1 ( 0 ) 6 ( 0 ) \n", + " OOB num_select FDR MSE_mean FP_mean FN_mean OOB_mean\n", + "1 1.98 ( 0.02 ) 0.00 NaN 1.40 NA 0.00 1.98 \n", + "5 2.19 ( 0.02 ) 0.00 NaN 1.36 NA 0.00 2.19 \n", + "9 2.39 ( 0.02 ) 0.00 NaN 1.29 NA 0.00 2.39 \n", + "13 2.42 ( 0.02 ) 0.00 NaN 1.35 NA 0.00 2.42 \n", + "14 2.39 ( 0.02 ) 50.71 0.97 NA 49.4 4.71 2.39 \n", + "17 1.87 ( 0.02 ) 0.00 NaN 1.22 NA 0.00 1.87 \n", + "21 2.03 ( 0.02 ) 0.00 NaN 1.15 NA 0.00 2.03 \n", + "25 2.24 ( 0.02 ) 0.00 NaN 1.14 NA 0.00 2.24 \n", + "29 2.29 ( 0.02 ) 0.00 NaN 1.20 NA 0.00 2.29 \n", + "33 1.68 ( 0.02 ) 0.00 NaN 0.99 NA 0.00 1.68 \n", + "37 1.84 ( 0.02 ) 0.00 NaN 0.91 NA 0.00 1.84 \n", + "41 2.04 ( 0.02 ) 0.00 NaN 0.95 NA 0.00 2.04 \n", + "45 2.04 ( 0.02 ) 0.00 NaN 0.94 NA 0.00 2.04 \n", + "49 1.44 ( 0.01 ) 0.00 NaN 0.66 NA 0.00 1.44 \n", + "53 1.5 ( 0.02 ) 0.00 NaN 0.67 NA 0.00 1.50 \n", + "57 1.68 ( 0.02 ) 0.00 NaN 0.70 NA 0.00 1.68 \n", + "61 1.69 ( 0.02 ) 0.00 NaN 0.74 NA 0.00 1.69 \n", + "65 0.96 ( 0.01 ) 0.00 NaN 0.27 NA 0.00 0.96 \n", + "69 1 ( 0.01 ) 0.00 NaN 0.30 NA 0.00 NA \n", + "73 1.1 ( 0.01 ) 0.00 NaN 0.29 NA 0.00 1.10 \n", + "77 1.11 ( 0.01 ) 0.00 NaN 0.29 NA 0.00 1.11 " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# check whether missing values exists\n", + "result.table_toe[rowSums(is.na(result.table_toe)) > 0,]" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [], + "source": [ + "# recover values\n", + "result.table_toe$Stab[is.na(result.table_toe$Stab)] = 0\n", + "result.table_toe$MSE_mean[is.na(result.table_toe$MSE_mean)] = 1\n", + "result.table_toe$FP_mean[is.na(result.table_toe$FP_mean)] = 1\n", + "result.table_toe$FN_mean[result.table_toe$num_select == 0] = 6\n", + "result.table_toe$OOB_mean[is.na(result.table_toe$OOB_mean)] = 1" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", + "\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\n", + "
    NPCorrRatioStabMSEFPFNOOBnum_selectFDRMSE_meanFP_meanFN_meanOOB_mean
    1 50 50 0.1 1 0.00 1.4 ( 0.06 ) 1 ( 0 ) 6 ( 0 ) 1.98 ( 0.02 ) 0.00 NaN 1.40 1.0 6.00 1.98
    5 50 100 0.1 2 0.00 1.36 ( 0.06 )1 ( 0 ) 6 ( 0 ) 2.19 ( 0.02 ) 0.00 NaN 1.36 1.0 6.00 2.19
    9 50 500 0.1 10 0.00 1.29 ( 0.05 )1 ( 0 ) 6 ( 0 ) 2.39 ( 0.02 ) 0.00 NaN 1.29 1.0 6.00 2.39
    13 50 1000 0.1 20 0.00 1.35 ( 0.06 )1 ( 0 ) 6 ( 0 ) 2.42 ( 0.02 ) 0.00 NaN 1.35 1.0 6.00 2.42
    14100 1000 0.1 10 0.01 1 ( 0.03 ) 49.42 ( 0.7 )4.71 ( 0.09 )2.39 ( 0.02 )50.71 0.97 1.00 49.4 4.71 2.39
    17 50 50 0.3 1 0.00 1.22 ( 0.05 )1 ( 0 ) 6 ( 0 ) 1.87 ( 0.02 ) 0.00 NaN 1.22 1.0 6.00 1.87
    21 50 100 0.3 2 0.00 1.15 ( 0.05 )1 ( 0 ) 6 ( 0 ) 2.03 ( 0.02 ) 0.00 NaN 1.15 1.0 6.00 2.03
    25 50 500 0.3 10 0.00 1.14 ( 0.05 )1 ( 0 ) 6 ( 0 ) 2.24 ( 0.02 ) 0.00 NaN 1.14 1.0 6.00 2.24
    29 50 1000 0.3 20 0.00 1.2 ( 0.05 ) 1 ( 0 ) 6 ( 0 ) 2.29 ( 0.02 ) 0.00 NaN 1.20 1.0 6.00 2.29
    33 50 50 0.5 1 0.00 0.99 ( 0.05 )1 ( 0 ) 6 ( 0 ) 1.68 ( 0.02 ) 0.00 NaN 0.99 1.0 6.00 1.68
    37 50 100 0.5 2 0.00 0.91 ( 0.04 )1 ( 0 ) 6 ( 0 ) 1.84 ( 0.02 ) 0.00 NaN 0.91 1.0 6.00 1.84
    41 50 500 0.5 10 0.00 0.95 ( 0.04 )1 ( 0 ) 6 ( 0 ) 2.04 ( 0.02 ) 0.00 NaN 0.95 1.0 6.00 2.04
    45 50 1000 0.5 20 0.00 0.94 ( 0.04 )1 ( 0 ) 6 ( 0 ) 2.04 ( 0.02 ) 0.00 NaN 0.94 1.0 6.00 2.04
    49 50 50 0.7 1 0.00 0.66 ( 0.03 )1 ( 0 ) 6 ( 0 ) 1.44 ( 0.01 ) 0.00 NaN 0.66 1.0 6.00 1.44
    53 50 100 0.7 2 0.00 0.67 ( 0.03 )1 ( 0 ) 6 ( 0 ) 1.5 ( 0.02 ) 0.00 NaN 0.67 1.0 6.00 1.50
    57 50 500 0.7 10 0.00 0.7 ( 0.03 ) 1 ( 0 ) 6 ( 0 ) 1.68 ( 0.02 ) 0.00 NaN 0.70 1.0 6.00 1.68
    61 50 1000 0.7 20 0.00 0.74 ( 0.03 )1 ( 0 ) 6 ( 0 ) 1.69 ( 0.02 ) 0.00 NaN 0.74 1.0 6.00 1.69
    65 50 50 0.9 1 0.00 0.27 ( 0.01 )1 ( 0 ) 6 ( 0 ) 0.96 ( 0.01 ) 0.00 NaN 0.27 1.0 6.00 0.96
    69 50 100 0.9 2 0.00 0.3 ( 0.01 ) 1 ( 0 ) 6 ( 0 ) 1 ( 0.01 ) 0.00 NaN 0.30 1.0 6.00 1.00
    73 50 500 0.9 10 0.00 0.29 ( 0.01 )1 ( 0 ) 6 ( 0 ) 1.1 ( 0.01 ) 0.00 NaN 0.29 1.0 6.00 1.10
    77 50 1000 0.9 20 0.00 0.29 ( 0.01 )1 ( 0 ) 6 ( 0 ) 1.11 ( 0.01 ) 0.00 NaN 0.29 1.0 6.00 1.11
    \n" + ], + "text/latex": [ + "\\begin{tabular}{r|lllllllllllllll}\n", + " & N & P & Corr & Ratio & Stab & MSE & FP & FN & OOB & num\\_select & FDR & MSE\\_mean & FP\\_mean & FN\\_mean & OOB\\_mean\\\\\n", + "\\hline\n", + "\t1 & 50 & 50 & 0.1 & 1 & 0.00 & 1.4 ( 0.06 ) & 1 ( 0 ) & 6 ( 0 ) & 1.98 ( 0.02 ) & 0.00 & NaN & 1.40 & 1.0 & 6.00 & 1.98 \\\\\n", + "\t5 & 50 & 100 & 0.1 & 2 & 0.00 & 1.36 ( 0.06 ) & 1 ( 0 ) & 6 ( 0 ) & 2.19 ( 0.02 ) & 0.00 & NaN & 1.36 & 1.0 & 6.00 & 2.19 \\\\\n", + "\t9 & 50 & 500 & 0.1 & 10 & 0.00 & 1.29 ( 0.05 ) & 1 ( 0 ) & 6 ( 0 ) & 2.39 ( 0.02 ) & 0.00 & NaN & 1.29 & 1.0 & 6.00 & 2.39 \\\\\n", + "\t13 & 50 & 1000 & 0.1 & 20 & 0.00 & 1.35 ( 0.06 ) & 1 ( 0 ) & 6 ( 0 ) & 2.42 ( 0.02 ) & 0.00 & NaN & 1.35 & 1.0 & 6.00 & 2.42 \\\\\n", + "\t14 & 100 & 1000 & 0.1 & 10 & 0.01 & 1 ( 0.03 ) & 49.42 ( 0.7 ) & 4.71 ( 0.09 ) & 2.39 ( 0.02 ) & 50.71 & 0.97 & 1.00 & 49.4 & 4.71 & 2.39 \\\\\n", + "\t17 & 50 & 50 & 0.3 & 1 & 0.00 & 1.22 ( 0.05 ) & 1 ( 0 ) & 6 ( 0 ) & 1.87 ( 0.02 ) & 0.00 & NaN & 1.22 & 1.0 & 6.00 & 1.87 \\\\\n", + "\t21 & 50 & 100 & 0.3 & 2 & 0.00 & 1.15 ( 0.05 ) & 1 ( 0 ) & 6 ( 0 ) & 2.03 ( 0.02 ) & 0.00 & NaN & 1.15 & 1.0 & 6.00 & 2.03 \\\\\n", + "\t25 & 50 & 500 & 0.3 & 10 & 0.00 & 1.14 ( 0.05 ) & 1 ( 0 ) & 6 ( 0 ) & 2.24 ( 0.02 ) & 0.00 & NaN & 1.14 & 1.0 & 6.00 & 2.24 \\\\\n", + "\t29 & 50 & 1000 & 0.3 & 20 & 0.00 & 1.2 ( 0.05 ) & 1 ( 0 ) & 6 ( 0 ) & 2.29 ( 0.02 ) & 0.00 & NaN & 1.20 & 1.0 & 6.00 & 2.29 \\\\\n", + "\t33 & 50 & 50 & 0.5 & 1 & 0.00 & 0.99 ( 0.05 ) & 1 ( 0 ) & 6 ( 0 ) & 1.68 ( 0.02 ) & 0.00 & NaN & 0.99 & 1.0 & 6.00 & 1.68 \\\\\n", + "\t37 & 50 & 100 & 0.5 & 2 & 0.00 & 0.91 ( 0.04 ) & 1 ( 0 ) & 6 ( 0 ) & 1.84 ( 0.02 ) & 0.00 & NaN & 0.91 & 1.0 & 6.00 & 1.84 \\\\\n", + "\t41 & 50 & 500 & 0.5 & 10 & 0.00 & 0.95 ( 0.04 ) & 1 ( 0 ) & 6 ( 0 ) & 2.04 ( 0.02 ) & 0.00 & NaN & 0.95 & 1.0 & 6.00 & 2.04 \\\\\n", + "\t45 & 50 & 1000 & 0.5 & 20 & 0.00 & 0.94 ( 0.04 ) & 1 ( 0 ) & 6 ( 0 ) & 2.04 ( 0.02 ) & 0.00 & NaN & 0.94 & 1.0 & 6.00 & 2.04 \\\\\n", + "\t49 & 50 & 50 & 0.7 & 1 & 0.00 & 0.66 ( 0.03 ) & 1 ( 0 ) & 6 ( 0 ) & 1.44 ( 0.01 ) & 0.00 & NaN & 0.66 & 1.0 & 6.00 & 1.44 \\\\\n", + "\t53 & 50 & 100 & 0.7 & 2 & 0.00 & 0.67 ( 0.03 ) & 1 ( 0 ) & 6 ( 0 ) & 1.5 ( 0.02 ) & 0.00 & NaN & 0.67 & 1.0 & 6.00 & 1.50 \\\\\n", + "\t57 & 50 & 500 & 0.7 & 10 & 0.00 & 0.7 ( 0.03 ) & 1 ( 0 ) & 6 ( 0 ) & 1.68 ( 0.02 ) & 0.00 & NaN & 0.70 & 1.0 & 6.00 & 1.68 \\\\\n", + "\t61 & 50 & 1000 & 0.7 & 20 & 0.00 & 0.74 ( 0.03 ) & 1 ( 0 ) & 6 ( 0 ) & 1.69 ( 0.02 ) & 0.00 & NaN & 0.74 & 1.0 & 6.00 & 1.69 \\\\\n", + "\t65 & 50 & 50 & 0.9 & 1 & 0.00 & 0.27 ( 0.01 ) & 1 ( 0 ) & 6 ( 0 ) & 0.96 ( 0.01 ) & 0.00 & NaN & 0.27 & 1.0 & 6.00 & 0.96 \\\\\n", + "\t69 & 50 & 100 & 0.9 & 2 & 0.00 & 0.3 ( 0.01 ) & 1 ( 0 ) & 6 ( 0 ) & 1 ( 0.01 ) & 0.00 & NaN & 0.30 & 1.0 & 6.00 & 1.00 \\\\\n", + "\t73 & 50 & 500 & 0.9 & 10 & 0.00 & 0.29 ( 0.01 ) & 1 ( 0 ) & 6 ( 0 ) & 1.1 ( 0.01 ) & 0.00 & NaN & 0.29 & 1.0 & 6.00 & 1.10 \\\\\n", + "\t77 & 50 & 1000 & 0.9 & 20 & 0.00 & 0.29 ( 0.01 ) & 1 ( 0 ) & 6 ( 0 ) & 1.11 ( 0.01 ) & 0.00 & NaN & 0.29 & 1.0 & 6.00 & 1.11 \\\\\n", + "\\end{tabular}\n" + ], + "text/markdown": [ + "\n", + "| | N | P | Corr | Ratio | Stab | MSE | FP | FN | OOB | num_select | FDR | MSE_mean | FP_mean | FN_mean | OOB_mean |\n", + "|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n", + "| 1 | 50 | 50 | 0.1 | 1 | 0.00 | 1.4 ( 0.06 ) | 1 ( 0 ) | 6 ( 0 ) | 1.98 ( 0.02 ) | 0.00 | NaN | 1.40 | 1.0 | 6.00 | 1.98 |\n", + "| 5 | 50 | 100 | 0.1 | 2 | 0.00 | 1.36 ( 0.06 ) | 1 ( 0 ) | 6 ( 0 ) | 2.19 ( 0.02 ) | 0.00 | NaN | 1.36 | 1.0 | 6.00 | 2.19 |\n", + "| 9 | 50 | 500 | 0.1 | 10 | 0.00 | 1.29 ( 0.05 ) | 1 ( 0 ) | 6 ( 0 ) | 2.39 ( 0.02 ) | 0.00 | NaN | 1.29 | 1.0 | 6.00 | 2.39 |\n", + "| 13 | 50 | 1000 | 0.1 | 20 | 0.00 | 1.35 ( 0.06 ) | 1 ( 0 ) | 6 ( 0 ) | 2.42 ( 0.02 ) | 0.00 | NaN | 1.35 | 1.0 | 6.00 | 2.42 |\n", + "| 14 | 100 | 1000 | 0.1 | 10 | 0.01 | 1 ( 0.03 ) | 49.42 ( 0.7 ) | 4.71 ( 0.09 ) | 2.39 ( 0.02 ) | 50.71 | 0.97 | 1.00 | 49.4 | 4.71 | 2.39 |\n", + "| 17 | 50 | 50 | 0.3 | 1 | 0.00 | 1.22 ( 0.05 ) | 1 ( 0 ) | 6 ( 0 ) | 1.87 ( 0.02 ) | 0.00 | NaN | 1.22 | 1.0 | 6.00 | 1.87 |\n", + "| 21 | 50 | 100 | 0.3 | 2 | 0.00 | 1.15 ( 0.05 ) | 1 ( 0 ) | 6 ( 0 ) | 2.03 ( 0.02 ) | 0.00 | NaN | 1.15 | 1.0 | 6.00 | 2.03 |\n", + "| 25 | 50 | 500 | 0.3 | 10 | 0.00 | 1.14 ( 0.05 ) | 1 ( 0 ) | 6 ( 0 ) | 2.24 ( 0.02 ) | 0.00 | NaN | 1.14 | 1.0 | 6.00 | 2.24 |\n", + "| 29 | 50 | 1000 | 0.3 | 20 | 0.00 | 1.2 ( 0.05 ) | 1 ( 0 ) | 6 ( 0 ) | 2.29 ( 0.02 ) | 0.00 | NaN | 1.20 | 1.0 | 6.00 | 2.29 |\n", + "| 33 | 50 | 50 | 0.5 | 1 | 0.00 | 0.99 ( 0.05 ) | 1 ( 0 ) | 6 ( 0 ) | 1.68 ( 0.02 ) | 0.00 | NaN | 0.99 | 1.0 | 6.00 | 1.68 |\n", + "| 37 | 50 | 100 | 0.5 | 2 | 0.00 | 0.91 ( 0.04 ) | 1 ( 0 ) | 6 ( 0 ) | 1.84 ( 0.02 ) | 0.00 | NaN | 0.91 | 1.0 | 6.00 | 1.84 |\n", + "| 41 | 50 | 500 | 0.5 | 10 | 0.00 | 0.95 ( 0.04 ) | 1 ( 0 ) | 6 ( 0 ) | 2.04 ( 0.02 ) | 0.00 | NaN | 0.95 | 1.0 | 6.00 | 2.04 |\n", + "| 45 | 50 | 1000 | 0.5 | 20 | 0.00 | 0.94 ( 0.04 ) | 1 ( 0 ) | 6 ( 0 ) | 2.04 ( 0.02 ) | 0.00 | NaN | 0.94 | 1.0 | 6.00 | 2.04 |\n", + "| 49 | 50 | 50 | 0.7 | 1 | 0.00 | 0.66 ( 0.03 ) | 1 ( 0 ) | 6 ( 0 ) | 1.44 ( 0.01 ) | 0.00 | NaN | 0.66 | 1.0 | 6.00 | 1.44 |\n", + "| 53 | 50 | 100 | 0.7 | 2 | 0.00 | 0.67 ( 0.03 ) | 1 ( 0 ) | 6 ( 0 ) | 1.5 ( 0.02 ) | 0.00 | NaN | 0.67 | 1.0 | 6.00 | 1.50 |\n", + "| 57 | 50 | 500 | 0.7 | 10 | 0.00 | 0.7 ( 0.03 ) | 1 ( 0 ) | 6 ( 0 ) | 1.68 ( 0.02 ) | 0.00 | NaN | 0.70 | 1.0 | 6.00 | 1.68 |\n", + "| 61 | 50 | 1000 | 0.7 | 20 | 0.00 | 0.74 ( 0.03 ) | 1 ( 0 ) | 6 ( 0 ) | 1.69 ( 0.02 ) | 0.00 | NaN | 0.74 | 1.0 | 6.00 | 1.69 |\n", + "| 65 | 50 | 50 | 0.9 | 1 | 0.00 | 0.27 ( 0.01 ) | 1 ( 0 ) | 6 ( 0 ) | 0.96 ( 0.01 ) | 0.00 | NaN | 0.27 | 1.0 | 6.00 | 0.96 |\n", + "| 69 | 50 | 100 | 0.9 | 2 | 0.00 | 0.3 ( 0.01 ) | 1 ( 0 ) | 6 ( 0 ) | 1 ( 0.01 ) | 0.00 | NaN | 0.30 | 1.0 | 6.00 | 1.00 |\n", + "| 73 | 50 | 500 | 0.9 | 10 | 0.00 | 0.29 ( 0.01 ) | 1 ( 0 ) | 6 ( 0 ) | 1.1 ( 0.01 ) | 0.00 | NaN | 0.29 | 1.0 | 6.00 | 1.10 |\n", + "| 77 | 50 | 1000 | 0.9 | 20 | 0.00 | 0.29 ( 0.01 ) | 1 ( 0 ) | 6 ( 0 ) | 1.11 ( 0.01 ) | 0.00 | NaN | 0.29 | 1.0 | 6.00 | 1.11 |\n", + "\n" + ], + "text/plain": [ + " N P Corr Ratio Stab MSE FP FN \n", + "1 50 50 0.1 1 0.00 1.4 ( 0.06 ) 1 ( 0 ) 6 ( 0 ) \n", + "5 50 100 0.1 2 0.00 1.36 ( 0.06 ) 1 ( 0 ) 6 ( 0 ) \n", + "9 50 500 0.1 10 0.00 1.29 ( 0.05 ) 1 ( 0 ) 6 ( 0 ) \n", + "13 50 1000 0.1 20 0.00 1.35 ( 0.06 ) 1 ( 0 ) 6 ( 0 ) \n", + "14 100 1000 0.1 10 0.01 1 ( 0.03 ) 49.42 ( 0.7 ) 4.71 ( 0.09 )\n", + "17 50 50 0.3 1 0.00 1.22 ( 0.05 ) 1 ( 0 ) 6 ( 0 ) \n", + "21 50 100 0.3 2 0.00 1.15 ( 0.05 ) 1 ( 0 ) 6 ( 0 ) \n", + "25 50 500 0.3 10 0.00 1.14 ( 0.05 ) 1 ( 0 ) 6 ( 0 ) \n", + "29 50 1000 0.3 20 0.00 1.2 ( 0.05 ) 1 ( 0 ) 6 ( 0 ) \n", + "33 50 50 0.5 1 0.00 0.99 ( 0.05 ) 1 ( 0 ) 6 ( 0 ) \n", + "37 50 100 0.5 2 0.00 0.91 ( 0.04 ) 1 ( 0 ) 6 ( 0 ) \n", + "41 50 500 0.5 10 0.00 0.95 ( 0.04 ) 1 ( 0 ) 6 ( 0 ) \n", + "45 50 1000 0.5 20 0.00 0.94 ( 0.04 ) 1 ( 0 ) 6 ( 0 ) \n", + "49 50 50 0.7 1 0.00 0.66 ( 0.03 ) 1 ( 0 ) 6 ( 0 ) \n", + "53 50 100 0.7 2 0.00 0.67 ( 0.03 ) 1 ( 0 ) 6 ( 0 ) \n", + "57 50 500 0.7 10 0.00 0.7 ( 0.03 ) 1 ( 0 ) 6 ( 0 ) \n", + "61 50 1000 0.7 20 0.00 0.74 ( 0.03 ) 1 ( 0 ) 6 ( 0 ) \n", + "65 50 50 0.9 1 0.00 0.27 ( 0.01 ) 1 ( 0 ) 6 ( 0 ) \n", + "69 50 100 0.9 2 0.00 0.3 ( 0.01 ) 1 ( 0 ) 6 ( 0 ) \n", + "73 50 500 0.9 10 0.00 0.29 ( 0.01 ) 1 ( 0 ) 6 ( 0 ) \n", + "77 50 1000 0.9 20 0.00 0.29 ( 0.01 ) 1 ( 0 ) 6 ( 0 ) \n", + " OOB num_select FDR MSE_mean FP_mean FN_mean OOB_mean\n", + "1 1.98 ( 0.02 ) 0.00 NaN 1.40 1.0 6.00 1.98 \n", + "5 2.19 ( 0.02 ) 0.00 NaN 1.36 1.0 6.00 2.19 \n", + "9 2.39 ( 0.02 ) 0.00 NaN 1.29 1.0 6.00 2.39 \n", + "13 2.42 ( 0.02 ) 0.00 NaN 1.35 1.0 6.00 2.42 \n", + "14 2.39 ( 0.02 ) 50.71 0.97 1.00 49.4 4.71 2.39 \n", + "17 1.87 ( 0.02 ) 0.00 NaN 1.22 1.0 6.00 1.87 \n", + "21 2.03 ( 0.02 ) 0.00 NaN 1.15 1.0 6.00 2.03 \n", + "25 2.24 ( 0.02 ) 0.00 NaN 1.14 1.0 6.00 2.24 \n", + "29 2.29 ( 0.02 ) 0.00 NaN 1.20 1.0 6.00 2.29 \n", + "33 1.68 ( 0.02 ) 0.00 NaN 0.99 1.0 6.00 1.68 \n", + "37 1.84 ( 0.02 ) 0.00 NaN 0.91 1.0 6.00 1.84 \n", + "41 2.04 ( 0.02 ) 0.00 NaN 0.95 1.0 6.00 2.04 \n", + "45 2.04 ( 0.02 ) 0.00 NaN 0.94 1.0 6.00 2.04 \n", + "49 1.44 ( 0.01 ) 0.00 NaN 0.66 1.0 6.00 1.44 \n", + "53 1.5 ( 0.02 ) 0.00 NaN 0.67 1.0 6.00 1.50 \n", + "57 1.68 ( 0.02 ) 0.00 NaN 0.70 1.0 6.00 1.68 \n", + "61 1.69 ( 0.02 ) 0.00 NaN 0.74 1.0 6.00 1.69 \n", + "65 0.96 ( 0.01 ) 0.00 NaN 0.27 1.0 6.00 0.96 \n", + "69 1 ( 0.01 ) 0.00 NaN 0.30 1.0 6.00 1.00 \n", + "73 1.1 ( 0.01 ) 0.00 NaN 0.29 1.0 6.00 1.10 \n", + "77 1.11 ( 0.01 ) 0.00 NaN 0.29 1.0 6.00 1.11 " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "result.table_toe[c(1,5,9,13,14,17,21,25,29,33,37,41,45,49,53,57,61,65,69,73,77), ]" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", + "\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\n", + "
    NPCorrRatioStabMSEFPFNOOBnum_selectFDRMSE_meanFP_meanFN_meanOOB_mean
    50 50 0.1 1.00 0.00 1.4 ( 0.06 ) 1 ( 0 ) 6 ( 0 ) 1.98 ( 0.02 )0.00 NaN 1.40 1.00 6.00 1.98
    100 50 0.1 0.50 0.19 0.86 ( 0.03 )1.87 ( 0.14 )4.25 ( 0.09 )1.76 ( 0.01 )3.62 0.48 0.86 1.87 4.25 1.76
    500 50 0.1 0.10 0.77 0.44 ( 0.01 )0.32 ( 0.05 )1.81 ( 0.07 )1.29 ( 0 ) 4.51 0.06 0.44 0.32 1.81 1.29
    1000 50 0.1 0.05 0.86 0.34 ( 0 ) 0.15 ( 0.04 )0.93 ( 0.07 )1.15 ( 0 ) 5.22 0.02 0.34 0.15 0.93 1.15
    50 100 0.1 2.00 0.00 1.36 ( 0.06 )1 ( 0 ) 6 ( 0 ) 2.19 ( 0.02 )0.00 NaN 1.36 1.00 6.00 2.19
    100 100 0.1 1.00 0.12 0.93 ( 0.03 )4.11 ( 0.18 )4.17 ( 0.1 ) 1.99 ( 0.01 )5.93 0.68 0.93 4.11 4.17 1.99
    \n" + ], + "text/latex": [ + "\\begin{tabular}{r|lllllllllllllll}\n", + " N & P & Corr & Ratio & Stab & MSE & FP & FN & OOB & num\\_select & FDR & MSE\\_mean & FP\\_mean & FN\\_mean & OOB\\_mean\\\\\n", + "\\hline\n", + "\t 50 & 50 & 0.1 & 1.00 & 0.00 & 1.4 ( 0.06 ) & 1 ( 0 ) & 6 ( 0 ) & 1.98 ( 0.02 ) & 0.00 & NaN & 1.40 & 1.00 & 6.00 & 1.98 \\\\\n", + "\t 100 & 50 & 0.1 & 0.50 & 0.19 & 0.86 ( 0.03 ) & 1.87 ( 0.14 ) & 4.25 ( 0.09 ) & 1.76 ( 0.01 ) & 3.62 & 0.48 & 0.86 & 1.87 & 4.25 & 1.76 \\\\\n", + "\t 500 & 50 & 0.1 & 0.10 & 0.77 & 0.44 ( 0.01 ) & 0.32 ( 0.05 ) & 1.81 ( 0.07 ) & 1.29 ( 0 ) & 4.51 & 0.06 & 0.44 & 0.32 & 1.81 & 1.29 \\\\\n", + "\t 1000 & 50 & 0.1 & 0.05 & 0.86 & 0.34 ( 0 ) & 0.15 ( 0.04 ) & 0.93 ( 0.07 ) & 1.15 ( 0 ) & 5.22 & 0.02 & 0.34 & 0.15 & 0.93 & 1.15 \\\\\n", + "\t 50 & 100 & 0.1 & 2.00 & 0.00 & 1.36 ( 0.06 ) & 1 ( 0 ) & 6 ( 0 ) & 2.19 ( 0.02 ) & 0.00 & NaN & 1.36 & 1.00 & 6.00 & 2.19 \\\\\n", + "\t 100 & 100 & 0.1 & 1.00 & 0.12 & 0.93 ( 0.03 ) & 4.11 ( 0.18 ) & 4.17 ( 0.1 ) & 1.99 ( 0.01 ) & 5.93 & 0.68 & 0.93 & 4.11 & 4.17 & 1.99 \\\\\n", + "\\end{tabular}\n" + ], + "text/markdown": [ + "\n", + "| N | P | Corr | Ratio | Stab | MSE | FP | FN | OOB | num_select | FDR | MSE_mean | FP_mean | FN_mean | OOB_mean |\n", + "|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n", + "| 50 | 50 | 0.1 | 1.00 | 0.00 | 1.4 ( 0.06 ) | 1 ( 0 ) | 6 ( 0 ) | 1.98 ( 0.02 ) | 0.00 | NaN | 1.40 | 1.00 | 6.00 | 1.98 |\n", + "| 100 | 50 | 0.1 | 0.50 | 0.19 | 0.86 ( 0.03 ) | 1.87 ( 0.14 ) | 4.25 ( 0.09 ) | 1.76 ( 0.01 ) | 3.62 | 0.48 | 0.86 | 1.87 | 4.25 | 1.76 |\n", + "| 500 | 50 | 0.1 | 0.10 | 0.77 | 0.44 ( 0.01 ) | 0.32 ( 0.05 ) | 1.81 ( 0.07 ) | 1.29 ( 0 ) | 4.51 | 0.06 | 0.44 | 0.32 | 1.81 | 1.29 |\n", + "| 1000 | 50 | 0.1 | 0.05 | 0.86 | 0.34 ( 0 ) | 0.15 ( 0.04 ) | 0.93 ( 0.07 ) | 1.15 ( 0 ) | 5.22 | 0.02 | 0.34 | 0.15 | 0.93 | 1.15 |\n", + "| 50 | 100 | 0.1 | 2.00 | 0.00 | 1.36 ( 0.06 ) | 1 ( 0 ) | 6 ( 0 ) | 2.19 ( 0.02 ) | 0.00 | NaN | 1.36 | 1.00 | 6.00 | 2.19 |\n", + "| 100 | 100 | 0.1 | 1.00 | 0.12 | 0.93 ( 0.03 ) | 4.11 ( 0.18 ) | 4.17 ( 0.1 ) | 1.99 ( 0.01 ) | 5.93 | 0.68 | 0.93 | 4.11 | 4.17 | 1.99 |\n", + "\n" + ], + "text/plain": [ + " N P Corr Ratio Stab MSE FP FN \n", + "1 50 50 0.1 1.00 0.00 1.4 ( 0.06 ) 1 ( 0 ) 6 ( 0 ) \n", + "2 100 50 0.1 0.50 0.19 0.86 ( 0.03 ) 1.87 ( 0.14 ) 4.25 ( 0.09 )\n", + "3 500 50 0.1 0.10 0.77 0.44 ( 0.01 ) 0.32 ( 0.05 ) 1.81 ( 0.07 )\n", + "4 1000 50 0.1 0.05 0.86 0.34 ( 0 ) 0.15 ( 0.04 ) 0.93 ( 0.07 )\n", + "5 50 100 0.1 2.00 0.00 1.36 ( 0.06 ) 1 ( 0 ) 6 ( 0 ) \n", + "6 100 100 0.1 1.00 0.12 0.93 ( 0.03 ) 4.11 ( 0.18 ) 4.17 ( 0.1 ) \n", + " OOB num_select FDR MSE_mean FP_mean FN_mean OOB_mean\n", + "1 1.98 ( 0.02 ) 0.00 NaN 1.40 1.00 6.00 1.98 \n", + "2 1.76 ( 0.01 ) 3.62 0.48 0.86 1.87 4.25 1.76 \n", + "3 1.29 ( 0 ) 4.51 0.06 0.44 0.32 1.81 1.29 \n", + "4 1.15 ( 0 ) 5.22 0.02 0.34 0.15 0.93 1.15 \n", + "5 2.19 ( 0.02 ) 0.00 NaN 1.36 1.00 6.00 2.19 \n", + "6 1.99 ( 0.01 ) 5.93 0.68 0.93 4.11 4.17 1.99 " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "head(result.table_toe)" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", + "\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\n", + "
    NPCorrRatioStabMSEFPFNOOBnum_selectFDRMSE_meanFP_meanFN_meanOOB_mean
    75 500 500 0.9 1.0 0.14 0.17 ( 0 ) 21.38 ( 0.6 ) 3 ( 0.07 ) 0.99 ( 0 ) 24.38 0.87 0.17 21.3 0.00 0.99
    761000 500 0.9 0.5 0.20 0.16 ( 0 ) 18.68 ( 0.53 )2.35 ( 0.06 ) 0.96 ( 0 ) 22.33 0.83 0.16 18.6 2.35 0.96
    77 50 1000 0.9 20.0 0.00 0.29 ( 0.01 ) 1 ( 0 ) 6 ( 0 ) 1.11 ( 0.01 ) 0.00 NaN 0.29 1.0 6.00 1.11
    78 100 1000 0.9 10.0 0.01 0.2 ( 0.01 ) 49.91 ( 0.83 )4.99 ( 0.09 ) 1.09 ( 0.01 ) 50.92 0.98 0.20 49.9 4.99 1.09
    79 500 1000 0.9 2.0 0.06 0.19 ( 0 ) 46.34 ( 0.86 )3.13 ( 0.08 ) 1.04 ( 0 ) 49.21 0.94 0.19 46.3 3.13 1.04
    801000 1000 0.9 1.0 0.09 0.18 ( 0 ) 43.52 ( 0.89 )2.7 ( 0.07 ) 1.02 ( 0 ) 46.82 0.93 0.18 43.5 2.70 1.02
    \n" + ], + "text/latex": [ + "\\begin{tabular}{r|lllllllllllllll}\n", + " & N & P & Corr & Ratio & Stab & MSE & FP & FN & OOB & num\\_select & FDR & MSE\\_mean & FP\\_mean & FN\\_mean & OOB\\_mean\\\\\n", + "\\hline\n", + "\t75 & 500 & 500 & 0.9 & 1.0 & 0.14 & 0.17 ( 0 ) & 21.38 ( 0.6 ) & 3 ( 0.07 ) & 0.99 ( 0 ) & 24.38 & 0.87 & 0.17 & 21.3 & 0.00 & 0.99 \\\\\n", + "\t76 & 1000 & 500 & 0.9 & 0.5 & 0.20 & 0.16 ( 0 ) & 18.68 ( 0.53 ) & 2.35 ( 0.06 ) & 0.96 ( 0 ) & 22.33 & 0.83 & 0.16 & 18.6 & 2.35 & 0.96 \\\\\n", + "\t77 & 50 & 1000 & 0.9 & 20.0 & 0.00 & 0.29 ( 0.01 ) & 1 ( 0 ) & 6 ( 0 ) & 1.11 ( 0.01 ) & 0.00 & NaN & 0.29 & 1.0 & 6.00 & 1.11 \\\\\n", + "\t78 & 100 & 1000 & 0.9 & 10.0 & 0.01 & 0.2 ( 0.01 ) & 49.91 ( 0.83 ) & 4.99 ( 0.09 ) & 1.09 ( 0.01 ) & 50.92 & 0.98 & 0.20 & 49.9 & 4.99 & 1.09 \\\\\n", + "\t79 & 500 & 1000 & 0.9 & 2.0 & 0.06 & 0.19 ( 0 ) & 46.34 ( 0.86 ) & 3.13 ( 0.08 ) & 1.04 ( 0 ) & 49.21 & 0.94 & 0.19 & 46.3 & 3.13 & 1.04 \\\\\n", + "\t80 & 1000 & 1000 & 0.9 & 1.0 & 0.09 & 0.18 ( 0 ) & 43.52 ( 0.89 ) & 2.7 ( 0.07 ) & 1.02 ( 0 ) & 46.82 & 0.93 & 0.18 & 43.5 & 2.70 & 1.02 \\\\\n", + "\\end{tabular}\n" + ], + "text/markdown": [ + "\n", + "| | N | P | Corr | Ratio | Stab | MSE | FP | FN | OOB | num_select | FDR | MSE_mean | FP_mean | FN_mean | OOB_mean |\n", + "|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n", + "| 75 | 500 | 500 | 0.9 | 1.0 | 0.14 | 0.17 ( 0 ) | 21.38 ( 0.6 ) | 3 ( 0.07 ) | 0.99 ( 0 ) | 24.38 | 0.87 | 0.17 | 21.3 | 0.00 | 0.99 |\n", + "| 76 | 1000 | 500 | 0.9 | 0.5 | 0.20 | 0.16 ( 0 ) | 18.68 ( 0.53 ) | 2.35 ( 0.06 ) | 0.96 ( 0 ) | 22.33 | 0.83 | 0.16 | 18.6 | 2.35 | 0.96 |\n", + "| 77 | 50 | 1000 | 0.9 | 20.0 | 0.00 | 0.29 ( 0.01 ) | 1 ( 0 ) | 6 ( 0 ) | 1.11 ( 0.01 ) | 0.00 | NaN | 0.29 | 1.0 | 6.00 | 1.11 |\n", + "| 78 | 100 | 1000 | 0.9 | 10.0 | 0.01 | 0.2 ( 0.01 ) | 49.91 ( 0.83 ) | 4.99 ( 0.09 ) | 1.09 ( 0.01 ) | 50.92 | 0.98 | 0.20 | 49.9 | 4.99 | 1.09 |\n", + "| 79 | 500 | 1000 | 0.9 | 2.0 | 0.06 | 0.19 ( 0 ) | 46.34 ( 0.86 ) | 3.13 ( 0.08 ) | 1.04 ( 0 ) | 49.21 | 0.94 | 0.19 | 46.3 | 3.13 | 1.04 |\n", + "| 80 | 1000 | 1000 | 0.9 | 1.0 | 0.09 | 0.18 ( 0 ) | 43.52 ( 0.89 ) | 2.7 ( 0.07 ) | 1.02 ( 0 ) | 46.82 | 0.93 | 0.18 | 43.5 | 2.70 | 1.02 |\n", + "\n" + ], + "text/plain": [ + " N P Corr Ratio Stab MSE FP FN \n", + "75 500 500 0.9 1.0 0.14 0.17 ( 0 ) 21.38 ( 0.6 ) 3 ( 0.07 ) \n", + "76 1000 500 0.9 0.5 0.20 0.16 ( 0 ) 18.68 ( 0.53 ) 2.35 ( 0.06 )\n", + "77 50 1000 0.9 20.0 0.00 0.29 ( 0.01 ) 1 ( 0 ) 6 ( 0 ) \n", + "78 100 1000 0.9 10.0 0.01 0.2 ( 0.01 ) 49.91 ( 0.83 ) 4.99 ( 0.09 )\n", + "79 500 1000 0.9 2.0 0.06 0.19 ( 0 ) 46.34 ( 0.86 ) 3.13 ( 0.08 )\n", + "80 1000 1000 0.9 1.0 0.09 0.18 ( 0 ) 43.52 ( 0.89 ) 2.7 ( 0.07 ) \n", + " OOB num_select FDR MSE_mean FP_mean FN_mean OOB_mean\n", + "75 0.99 ( 0 ) 24.38 0.87 0.17 21.3 0.00 0.99 \n", + "76 0.96 ( 0 ) 22.33 0.83 0.16 18.6 2.35 0.96 \n", + "77 1.11 ( 0.01 ) 0.00 NaN 0.29 1.0 6.00 1.11 \n", + "78 1.09 ( 0.01 ) 50.92 0.98 0.20 49.9 4.99 1.09 \n", + "79 1.04 ( 0 ) 49.21 0.94 0.19 46.3 3.13 1.04 \n", + "80 1.02 ( 0 ) 46.82 0.93 0.18 43.5 2.70 1.02 " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "tail(result.table_toe)" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [], + "source": [ + "## export\n", + "write.table(result.table_toe, '../results_summary/sim_toe_rf.txt', sep='\\t', row.names=F)" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Registered S3 methods overwritten by 'ggplot2':\n", + " method from \n", + " [.quosures rlang\n", + " c.quosures rlang\n", + " print.quosures rlang\n", + "Loading required package: magrittr\n", + "Warning message:\n", + "“Using size for a discrete variable is not advised.”Warning message:\n", + "“Using alpha for a discrete variable is not advised.”Warning message:\n", + "“Using size for a discrete variable is not advised.”Warning message:\n", + "“Using alpha for a discrete variable is not advised.”Warning message:\n", + "“Using size for a discrete variable is not advised.”Warning message:\n", + "“Using alpha for a discrete variable is not advised.”Warning message:\n", + "“Using size for a discrete variable is not advised.”Warning message:\n", + "“Using alpha for a discrete variable is not advised.”file saved to ../figures_sim/figure_toe_rf.pdf\n" + ] + } + ], + "source": [ + "library(ggplot2)\n", + "library(ggpubr)\n", + "result.table_toe$N = as.factor(result.table_toe$N)\n", + "fig_toe_stab = ggplot(result.table_toe, aes(x=P, y=Stab, color=N)) + \n", + " geom_point(aes(size = Corr, alpha=Corr)) + theme(legend.position = \"none\") +\n", + " scale_size_discrete(range = c(1,4)) + scale_alpha_discrete(range = c(1, 0.4)) + ylab('Stability')\n", + "\n", + "fig_toe_mse = ggplot(result.table_toe, aes(x=P, y=MSE_mean, color=N)) + \n", + " geom_point(aes(size = Corr, alpha=Corr)) + theme(legend.position=\"none\") +\n", + " scale_size_discrete(range = c(1,4)) + scale_alpha_discrete(range = c(1, 0.4)) + ylab('MSE')\n", + "\n", + "fig_toe_fp = ggplot(result.table_toe, aes(x=P, y=FP_mean, color=N)) + \n", + " geom_point(aes(size = Corr, alpha=Corr)) + theme(legend.position = \"none\") +\n", + " scale_size_discrete(range = c(1,4)) + scale_alpha_discrete(range = c(1, 0.4)) + ylab('False Positives')\n", + "\n", + "fig_toe_fn = ggplot(result.table_toe, aes(x=P, y=FN_mean, color=N)) + \n", + " geom_point(aes(size = Corr, alpha=Corr)) + theme(legend.position = \"none\") +\n", + " scale_size_discrete(range = c(1,4)) + scale_alpha_discrete(range = c(1, 0.4)) + ylab('False Negatives')\n", + "fig = ggarrange(fig_toe_stab, fig_toe_mse, fig_toe_fp, fig_toe_fn, ncol=2, nrow=2, \n", + " common.legend = TRUE, legend=\"right\") \n", + "fig = annotate_figure(fig, top = text_grob(\"Toeplitz_RandomForests\"))\n", + "ggexport(fig, filename = \"../figures_sim/figure_toe_rf.pdf\", height=6, width=6)" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Warning message:\n", + "“Using size for a discrete variable is not advised.”Warning message:\n", + "“Using alpha for a discrete variable is not advised.”Warning message:\n", + "“Using size for a discrete variable is not advised.”Warning message:\n", + "“Using alpha for a discrete variable is not advised.”file saved to ../figures_sim/figure_toe_rf_OOB_MSE.pdf\n" + ] + } + ], + "source": [ + "library(ggplot2)\n", + "library(ggpubr)\n", + "result.table_toe$N = as.factor(result.table_toe$N)\n", + "fig_toe_oob = ggplot(result.table_toe, aes(x=P, y=OOB_mean, color=N)) + \n", + " geom_point(aes(size = Corr, alpha=Corr)) + theme(legend.position=\"none\") +\n", + " scale_size_discrete(range = c(1,4)) + scale_alpha_discrete(range = c(1, 0.4))\n", + "\n", + "fig_toe_mse = ggplot(result.table_toe, aes(x=P, y=MSE_mean, color=N)) + \n", + " geom_point(aes(size = Corr, alpha=Corr)) + theme(legend.position=\"none\") +\n", + " scale_size_discrete(range = c(1,4)) + scale_alpha_discrete(range = c(1, 0.4))\n", + "fig_oob_mse = ggarrange(fig_toe_oob, fig_toe_mse, ncol=2, nrow=1, common.legend = TRUE, legend=\"right\") \n", + "fig_oob_mse = annotate_figure(fig_oob_mse, top = text_grob(\"Toeplitz_RandomForests_OOB_MSE\"))\n", + "ggexport(fig_oob_mse, filename = \"../figures_sim/figure_toe_rf_OOB_MSE.pdf\", height=6, width=6)" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", + "\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\n", + "
    NPCorrRatioStabMSEFPFNOOBMSE_meanFP_meanFN_meanOOB_mean
    150 50 0.1 1.0 0.00 1.4 ( 0.06 ) 1 ( 0 ) 6 ( 0 ) 1.98 ( 0.02 )1.40 1.00 0.00 1.98
    1750 50 0.3 1.0 0.00 1.22 ( 0.05 )1 ( 0 ) 6 ( 0 ) 1.87 ( 0.02 )1.22 1.00 0.00 1.87
    3350 50 0.5 1.0 0.00 0.99 ( 0.05 )1 ( 0 ) 6 ( 0 ) 1.68 ( 0.02 )0.99 1.00 0.00 1.68
    4950 50 0.7 1.0 0.00 0.66 ( 0.03 )1 ( 0 ) 6 ( 0 ) 1.44 ( 0.01 )0.66 1.00 0.00 1.44
    6550 50 0.9 1.0 0.00 0.27 ( 0.01 )1 ( 0 ) 6 ( 0 ) 0.96 ( 0.01 )0.27 1.00 0.00 0.96
    550 100 0.1 2.0 0.00 1.36 ( 0.06 )1 ( 0 ) 6 ( 0 ) 2.19 ( 0.02 )1.36 1.00 0.00 2.19
    2150 100 0.3 2.0 0.00 1.15 ( 0.05 )1 ( 0 ) 6 ( 0 ) 2.03 ( 0.02 )1.15 1.00 0.00 2.03
    3750 100 0.5 2.0 0.00 0.91 ( 0.04 )1 ( 0 ) 6 ( 0 ) 1.84 ( 0.02 )0.91 1.00 0.00 1.84
    5350 100 0.7 2.0 0.00 0.67 ( 0.03 )1 ( 0 ) 6 ( 0 ) 1.5 ( 0.02 ) 0.67 1.00 0.00 1.50
    6950 100 0.9 2.0 0.00 0.3 ( 0.01 ) 1 ( 0 ) 6 ( 0 ) 1 ( 0.01 ) 0.30 1.00 0.00 1.00
    950 500 0.1 10.0 0.00 1.29 ( 0.05 )1 ( 0 ) 6 ( 0 ) 2.39 ( 0.02 )1.29 1.00 0.00 2.39
    2550 500 0.3 10.0 0.00 1.14 ( 0.05 )1 ( 0 ) 6 ( 0 ) 2.24 ( 0.02 )1.14 1.00 0.00 2.24
    4150 500 0.5 10.0 0.00 0.95 ( 0.04 )1 ( 0 ) 6 ( 0 ) 2.04 ( 0.02 )0.95 1.00 0.00 2.04
    5750 500 0.7 10.0 0.00 0.7 ( 0.03 ) 1 ( 0 ) 6 ( 0 ) 1.68 ( 0.02 )0.70 1.00 0.00 1.68
    7350 500 0.9 10.0 0.00 0.29 ( 0.01 )1 ( 0 ) 6 ( 0 ) 1.1 ( 0.01 ) 0.29 1.00 0.00 1.10
    1350 1000 0.1 20.0 0.00 1.35 ( 0.06 )1 ( 0 ) 6 ( 0 ) 2.42 ( 0.02 )1.35 1.00 0.00 2.42
    2950 1000 0.3 20.0 0.00 1.2 ( 0.05 ) 1 ( 0 ) 6 ( 0 ) 2.29 ( 0.02 )1.20 1.00 0.00 2.29
    4550 1000 0.5 20.0 0.00 0.94 ( 0.04 )1 ( 0 ) 6 ( 0 ) 2.04 ( 0.02 )0.94 1.00 0.00 2.04
    6150 1000 0.7 20.0 0.00 0.74 ( 0.03 )1 ( 0 ) 6 ( 0 ) 1.69 ( 0.02 )0.74 1.00 0.00 1.69
    7750 1000 0.9 20.0 0.00 0.29 ( 0.01 )1 ( 0 ) 6 ( 0 ) 1.11 ( 0.01 )0.29 1.00 0.00 1.11
    2100 50 0.1 0.5 0.19 0.86 ( 0.03 )1.87 ( 0.14 )4.25 ( 0.09 )1.76 ( 0.01 )0.86 1.87 4.25 1.76
    18100 50 0.3 0.5 0.23 0.77 ( 0.02 )1.72 ( 0.11 )4.4 ( 0.08 ) 1.65 ( 0.01 )0.77 1.72 4.40 1.65
    34100 50 0.5 0.5 0.24 0.62 ( 0.02 )1.74 ( 0.13 )4.39 ( 0.08 )1.5 ( 0.01 ) 0.62 1.74 4.39 1.50
    50100 50 0.7 0.5 0.28 0.44 ( 0.01 )1.84 ( 0.14 )4.44 ( 0.08 )1.26 ( 0.01 )0.44 1.84 4.44 1.26
    66100 50 0.9 0.5 0.19 0.19 ( 0.01 )2.14 ( 0.17 )4.84 ( 0.08 )0.89 ( 0.01 )0.19 2.14 4.84 0.89
    6100 100 0.1 1.0 0.12 0.93 ( 0.03 )4.11 ( 0.18 )4.17 ( 0.1 ) 1.99 ( 0.01 )0.93 4.11 4.17 1.99
    22100 100 0.3 1.0 0.15 0.81 ( 0.02 )3.77 ( 0.16 )4.28 ( 0.07 )1.87 ( 0.01 )0.81 3.77 4.28 1.87
    38100 100 0.5 1.0 0.15 0.68 ( 0.02 )3.72 ( 0.19 )4.42 ( 0.08 )1.69 ( 0.01 )0.68 3.72 4.42 1.69
    54100 100 0.7 1.0 0.14 0.47 ( 0.01 )4.64 ( 0.25 )4.32 ( 0.09 )1.4 ( 0.01 ) 0.47 4.64 4.32 1.40
    70100 100 0.9 1.0 0.16 0.19 ( 0.01 )4.23 ( 0.22 )4.48 ( 0.09 )0.98 ( 0.01 )0.19 4.23 4.48 0.98
    ..........................................
    11500 500 0.1 1.00 0.13 0.84 ( 0.01 ) 20.8 ( 0.48 ) 1.79 ( 0.1 ) 2.12 ( 0.01 ) 0.84 20.80 1.79 2.12
    27500 500 0.3 1.00 0.12 0.73 ( 0.01 ) 20.86 ( 0.41 )2.1 ( 0.09 ) 1.99 ( 0.01 ) 0.73 20.80 2.10 1.99
    43500 500 0.5 1.00 0.13 0.58 ( 0.01 ) 20.66 ( 0.49 )2.51 ( 0.07 ) 1.79 ( 0.01 ) 0.58 20.60 2.51 1.79
    59500 500 0.7 1.00 0.13 0.4 ( 0 ) 21.21 ( 0.55 )2.97 ( 0.08 ) 1.49 ( 0 ) 0.40 21.20 2.97 1.49
    75500 500 0.9 1.00 0.14 0.17 ( 0 ) 21.38 ( 0.6 ) 3 ( 0.07 ) 0.99 ( 0 ) 0.17 21.30 0.00 0.99
    15500 1000 0.1 2.00 0.06 0.87 ( 0.01 ) 46.19 ( 0.64 )1.97 ( 0.09 ) 2.25 ( 0.01 ) 0.87 46.10 1.97 2.25
    31500 1000 0.3 2.00 0.05 0.78 ( 0.01 ) 44.58 ( 0.68 )2.48 ( 0.09 ) 2.13 ( 0.01 ) 0.78 44.50 2.48 2.13
    47500 1000 0.5 2.00 0.05 0.65 ( 0.01 ) 46.07 ( 0.71 )2.83 ( 0.09 ) 1.93 ( 0.01 ) 0.65 46.00 2.83 1.93
    63500 1000 0.7 2.00 0.07 0.44 ( 0 ) 45.41 ( 0.68 )3.02 ( 0.07 ) 1.59 ( 0.01 ) 0.44 45.40 3.02 1.59
    79500 1000 0.9 2.00 0.06 0.19 ( 0 ) 46.34 ( 0.86 )3.13 ( 0.08 ) 1.04 ( 0 ) 0.19 46.30 3.13 1.04
    41000 50 0.1 0.05 0.86 0.34 ( 0 ) 0.15 ( 0.04 ) 0.93 ( 0.07 ) 1.15 ( 0 ) 0.34 0.15 0.93 1.15
    201000 50 0.3 0.05 0.82 0.31 ( 0 ) 0.3 ( 0.05 ) 1.19 ( 0.08 ) 1.1 ( 0 ) 0.31 0.30 1.19 1.10
    361000 50 0.5 0.05 0.78 0.26 ( 0 ) 0.91 ( 0.07 ) 1.71 ( 0.07 ) 1.03 ( 0 ) 0.26 0.91 1.71 1.03
    521000 50 0.7 0.05 0.85 0.19 ( 0 ) 1.57 ( 0.07 ) 2.29 ( 0.06 ) 0.9 ( 0 ) 0.19 1.57 2.29 0.90
    681000 50 0.9 0.05 0.85 0.1 ( 0 ) 1.5 ( 0.07 ) 2.46 ( 0.06 ) 0.7 ( 0 ) 0.10 1.50 2.46 0.70
    81000 100 0.1 0.10 0.74 0.45 ( 0 ) 1.11 ( 0.1 ) 0.74 ( 0.07 ) 1.37 ( 0 ) 0.45 1.11 0.74 1.37
    241000 100 0.3 0.10 0.75 0.41 ( 0 ) 1.4 ( 0.1 ) 0.76 ( 0.07 ) 1.31 ( 0 ) 0.41 1.40 0.76 1.31
    401000 100 0.5 0.10 0.76 0.34 ( 0 ) 2.09 ( 0.1 ) 1.08 ( 0.07 ) 1.2 ( 0 ) 0.34 2.09 1.08 1.20
    561000 100 0.7 0.10 0.80 0.25 ( 0 ) 2.42 ( 0.1 ) 1.76 ( 0.05 ) 1.05 ( 0 ) 0.25 2.42 1.76 1.05
    721000 100 0.9 0.10 0.80 0.12 ( 0 ) 2.42 ( 0.11 ) 1.89 ( 0.05 ) 0.78 ( 0 ) 0.12 2.42 1.89 0.78
    121000 500 0.1 0.50 0.18 0.76 ( 0.01 ) 18.72 ( 0.37 )0.91 ( 0.07 ) 2.02 ( 0 ) 0.76 18.70 0.91 2.02
    281000 500 0.3 0.50 0.19 0.68 ( 0.01 ) 18.71 ( 0.45 )1.13 ( 0.08 ) 1.91 ( 0 ) 0.68 18.70 1.13 1.91
    441000 500 0.5 0.50 0.20 0.55 ( 0 ) 18.4 ( 0.44 ) 1.77 ( 0.07 ) 1.72 ( 0 ) 0.55 18.40 1.77 1.72
    601000 500 0.7 0.50 0.21 0.38 ( 0 ) 17.4 ( 0.46 ) 1.98 ( 0.07 ) 1.43 ( 0 ) 0.38 17.40 1.98 1.43
    761000 500 0.9 0.50 0.20 0.16 ( 0 ) 18.68 ( 0.53 )2.35 ( 0.06 ) 0.96 ( 0 ) 0.16 18.60 2.35 0.96
    161000 1000 0.1 1.00 0.09 0.85 ( 0.01 ) 40.92 ( 0.66 )0.98 ( 0.07 ) 2.21 ( 0 ) 0.85 40.90 0.98 2.21
    321000 1000 0.3 1.00 0.08 0.74 ( 0.01 ) 42.87 ( 0.73 )1.44 ( 0.09 ) 2.07 ( 0 ) 0.74 42.80 1.44 2.07
    481000 1000 0.5 1.00 0.09 0.61 ( 0.01 ) 41.21 ( 0.68 )1.84 ( 0.08 ) 1.87 ( 0 ) 0.61 41.20 1.84 1.87
    641000 1000 0.7 1.00 0.09 0.42 ( 0 ) 42.15 ( 0.71 )2.37 ( 0.07 ) 1.56 ( 0 ) 0.42 42.10 2.37 1.56
    801000 1000 0.9 1.00 0.09 0.18 ( 0 ) 43.52 ( 0.89 )2.7 ( 0.07 ) 1.02 ( 0 ) 0.18 43.50 2.70 1.02
    \n" + ], + "text/latex": [ + "\\begin{tabular}{r|lllllllllllll}\n", + " & N & P & Corr & Ratio & Stab & MSE & FP & FN & OOB & MSE\\_mean & FP\\_mean & FN\\_mean & OOB\\_mean\\\\\n", + "\\hline\n", + "\t1 & 50 & 50 & 0.1 & 1.0 & 0.00 & 1.4 ( 0.06 ) & 1 ( 0 ) & 6 ( 0 ) & 1.98 ( 0.02 ) & 1.40 & 1.00 & 0.00 & 1.98 \\\\\n", + "\t17 & 50 & 50 & 0.3 & 1.0 & 0.00 & 1.22 ( 0.05 ) & 1 ( 0 ) & 6 ( 0 ) & 1.87 ( 0.02 ) & 1.22 & 1.00 & 0.00 & 1.87 \\\\\n", + "\t33 & 50 & 50 & 0.5 & 1.0 & 0.00 & 0.99 ( 0.05 ) & 1 ( 0 ) & 6 ( 0 ) & 1.68 ( 0.02 ) & 0.99 & 1.00 & 0.00 & 1.68 \\\\\n", + "\t49 & 50 & 50 & 0.7 & 1.0 & 0.00 & 0.66 ( 0.03 ) & 1 ( 0 ) & 6 ( 0 ) & 1.44 ( 0.01 ) & 0.66 & 1.00 & 0.00 & 1.44 \\\\\n", + "\t65 & 50 & 50 & 0.9 & 1.0 & 0.00 & 0.27 ( 0.01 ) & 1 ( 0 ) & 6 ( 0 ) & 0.96 ( 0.01 ) & 0.27 & 1.00 & 0.00 & 0.96 \\\\\n", + "\t5 & 50 & 100 & 0.1 & 2.0 & 0.00 & 1.36 ( 0.06 ) & 1 ( 0 ) & 6 ( 0 ) & 2.19 ( 0.02 ) & 1.36 & 1.00 & 0.00 & 2.19 \\\\\n", + "\t21 & 50 & 100 & 0.3 & 2.0 & 0.00 & 1.15 ( 0.05 ) & 1 ( 0 ) & 6 ( 0 ) & 2.03 ( 0.02 ) & 1.15 & 1.00 & 0.00 & 2.03 \\\\\n", + "\t37 & 50 & 100 & 0.5 & 2.0 & 0.00 & 0.91 ( 0.04 ) & 1 ( 0 ) & 6 ( 0 ) & 1.84 ( 0.02 ) & 0.91 & 1.00 & 0.00 & 1.84 \\\\\n", + "\t53 & 50 & 100 & 0.7 & 2.0 & 0.00 & 0.67 ( 0.03 ) & 1 ( 0 ) & 6 ( 0 ) & 1.5 ( 0.02 ) & 0.67 & 1.00 & 0.00 & 1.50 \\\\\n", + "\t69 & 50 & 100 & 0.9 & 2.0 & 0.00 & 0.3 ( 0.01 ) & 1 ( 0 ) & 6 ( 0 ) & 1 ( 0.01 ) & 0.30 & 1.00 & 0.00 & 1.00 \\\\\n", + "\t9 & 50 & 500 & 0.1 & 10.0 & 0.00 & 1.29 ( 0.05 ) & 1 ( 0 ) & 6 ( 0 ) & 2.39 ( 0.02 ) & 1.29 & 1.00 & 0.00 & 2.39 \\\\\n", + "\t25 & 50 & 500 & 0.3 & 10.0 & 0.00 & 1.14 ( 0.05 ) & 1 ( 0 ) & 6 ( 0 ) & 2.24 ( 0.02 ) & 1.14 & 1.00 & 0.00 & 2.24 \\\\\n", + "\t41 & 50 & 500 & 0.5 & 10.0 & 0.00 & 0.95 ( 0.04 ) & 1 ( 0 ) & 6 ( 0 ) & 2.04 ( 0.02 ) & 0.95 & 1.00 & 0.00 & 2.04 \\\\\n", + "\t57 & 50 & 500 & 0.7 & 10.0 & 0.00 & 0.7 ( 0.03 ) & 1 ( 0 ) & 6 ( 0 ) & 1.68 ( 0.02 ) & 0.70 & 1.00 & 0.00 & 1.68 \\\\\n", + "\t73 & 50 & 500 & 0.9 & 10.0 & 0.00 & 0.29 ( 0.01 ) & 1 ( 0 ) & 6 ( 0 ) & 1.1 ( 0.01 ) & 0.29 & 1.00 & 0.00 & 1.10 \\\\\n", + "\t13 & 50 & 1000 & 0.1 & 20.0 & 0.00 & 1.35 ( 0.06 ) & 1 ( 0 ) & 6 ( 0 ) & 2.42 ( 0.02 ) & 1.35 & 1.00 & 0.00 & 2.42 \\\\\n", + "\t29 & 50 & 1000 & 0.3 & 20.0 & 0.00 & 1.2 ( 0.05 ) & 1 ( 0 ) & 6 ( 0 ) & 2.29 ( 0.02 ) & 1.20 & 1.00 & 0.00 & 2.29 \\\\\n", + "\t45 & 50 & 1000 & 0.5 & 20.0 & 0.00 & 0.94 ( 0.04 ) & 1 ( 0 ) & 6 ( 0 ) & 2.04 ( 0.02 ) & 0.94 & 1.00 & 0.00 & 2.04 \\\\\n", + "\t61 & 50 & 1000 & 0.7 & 20.0 & 0.00 & 0.74 ( 0.03 ) & 1 ( 0 ) & 6 ( 0 ) & 1.69 ( 0.02 ) & 0.74 & 1.00 & 0.00 & 1.69 \\\\\n", + "\t77 & 50 & 1000 & 0.9 & 20.0 & 0.00 & 0.29 ( 0.01 ) & 1 ( 0 ) & 6 ( 0 ) & 1.11 ( 0.01 ) & 0.29 & 1.00 & 0.00 & 1.11 \\\\\n", + "\t2 & 100 & 50 & 0.1 & 0.5 & 0.19 & 0.86 ( 0.03 ) & 1.87 ( 0.14 ) & 4.25 ( 0.09 ) & 1.76 ( 0.01 ) & 0.86 & 1.87 & 4.25 & 1.76 \\\\\n", + "\t18 & 100 & 50 & 0.3 & 0.5 & 0.23 & 0.77 ( 0.02 ) & 1.72 ( 0.11 ) & 4.4 ( 0.08 ) & 1.65 ( 0.01 ) & 0.77 & 1.72 & 4.40 & 1.65 \\\\\n", + "\t34 & 100 & 50 & 0.5 & 0.5 & 0.24 & 0.62 ( 0.02 ) & 1.74 ( 0.13 ) & 4.39 ( 0.08 ) & 1.5 ( 0.01 ) & 0.62 & 1.74 & 4.39 & 1.50 \\\\\n", + "\t50 & 100 & 50 & 0.7 & 0.5 & 0.28 & 0.44 ( 0.01 ) & 1.84 ( 0.14 ) & 4.44 ( 0.08 ) & 1.26 ( 0.01 ) & 0.44 & 1.84 & 4.44 & 1.26 \\\\\n", + "\t66 & 100 & 50 & 0.9 & 0.5 & 0.19 & 0.19 ( 0.01 ) & 2.14 ( 0.17 ) & 4.84 ( 0.08 ) & 0.89 ( 0.01 ) & 0.19 & 2.14 & 4.84 & 0.89 \\\\\n", + "\t6 & 100 & 100 & 0.1 & 1.0 & 0.12 & 0.93 ( 0.03 ) & 4.11 ( 0.18 ) & 4.17 ( 0.1 ) & 1.99 ( 0.01 ) & 0.93 & 4.11 & 4.17 & 1.99 \\\\\n", + "\t22 & 100 & 100 & 0.3 & 1.0 & 0.15 & 0.81 ( 0.02 ) & 3.77 ( 0.16 ) & 4.28 ( 0.07 ) & 1.87 ( 0.01 ) & 0.81 & 3.77 & 4.28 & 1.87 \\\\\n", + "\t38 & 100 & 100 & 0.5 & 1.0 & 0.15 & 0.68 ( 0.02 ) & 3.72 ( 0.19 ) & 4.42 ( 0.08 ) & 1.69 ( 0.01 ) & 0.68 & 3.72 & 4.42 & 1.69 \\\\\n", + "\t54 & 100 & 100 & 0.7 & 1.0 & 0.14 & 0.47 ( 0.01 ) & 4.64 ( 0.25 ) & 4.32 ( 0.09 ) & 1.4 ( 0.01 ) & 0.47 & 4.64 & 4.32 & 1.40 \\\\\n", + "\t70 & 100 & 100 & 0.9 & 1.0 & 0.16 & 0.19 ( 0.01 ) & 4.23 ( 0.22 ) & 4.48 ( 0.09 ) & 0.98 ( 0.01 ) & 0.19 & 4.23 & 4.48 & 0.98 \\\\\n", + "\t... & ... & ... & ... & ... & ... & ... & ... & ... & ... & ... & ... & ... & ...\\\\\n", + "\t11 & 500 & 500 & 0.1 & 1.00 & 0.13 & 0.84 ( 0.01 ) & 20.8 ( 0.48 ) & 1.79 ( 0.1 ) & 2.12 ( 0.01 ) & 0.84 & 20.80 & 1.79 & 2.12 \\\\\n", + "\t27 & 500 & 500 & 0.3 & 1.00 & 0.12 & 0.73 ( 0.01 ) & 20.86 ( 0.41 ) & 2.1 ( 0.09 ) & 1.99 ( 0.01 ) & 0.73 & 20.80 & 2.10 & 1.99 \\\\\n", + "\t43 & 500 & 500 & 0.5 & 1.00 & 0.13 & 0.58 ( 0.01 ) & 20.66 ( 0.49 ) & 2.51 ( 0.07 ) & 1.79 ( 0.01 ) & 0.58 & 20.60 & 2.51 & 1.79 \\\\\n", + "\t59 & 500 & 500 & 0.7 & 1.00 & 0.13 & 0.4 ( 0 ) & 21.21 ( 0.55 ) & 2.97 ( 0.08 ) & 1.49 ( 0 ) & 0.40 & 21.20 & 2.97 & 1.49 \\\\\n", + "\t75 & 500 & 500 & 0.9 & 1.00 & 0.14 & 0.17 ( 0 ) & 21.38 ( 0.6 ) & 3 ( 0.07 ) & 0.99 ( 0 ) & 0.17 & 21.30 & 0.00 & 0.99 \\\\\n", + "\t15 & 500 & 1000 & 0.1 & 2.00 & 0.06 & 0.87 ( 0.01 ) & 46.19 ( 0.64 ) & 1.97 ( 0.09 ) & 2.25 ( 0.01 ) & 0.87 & 46.10 & 1.97 & 2.25 \\\\\n", + "\t31 & 500 & 1000 & 0.3 & 2.00 & 0.05 & 0.78 ( 0.01 ) & 44.58 ( 0.68 ) & 2.48 ( 0.09 ) & 2.13 ( 0.01 ) & 0.78 & 44.50 & 2.48 & 2.13 \\\\\n", + "\t47 & 500 & 1000 & 0.5 & 2.00 & 0.05 & 0.65 ( 0.01 ) & 46.07 ( 0.71 ) & 2.83 ( 0.09 ) & 1.93 ( 0.01 ) & 0.65 & 46.00 & 2.83 & 1.93 \\\\\n", + "\t63 & 500 & 1000 & 0.7 & 2.00 & 0.07 & 0.44 ( 0 ) & 45.41 ( 0.68 ) & 3.02 ( 0.07 ) & 1.59 ( 0.01 ) & 0.44 & 45.40 & 3.02 & 1.59 \\\\\n", + "\t79 & 500 & 1000 & 0.9 & 2.00 & 0.06 & 0.19 ( 0 ) & 46.34 ( 0.86 ) & 3.13 ( 0.08 ) & 1.04 ( 0 ) & 0.19 & 46.30 & 3.13 & 1.04 \\\\\n", + "\t4 & 1000 & 50 & 0.1 & 0.05 & 0.86 & 0.34 ( 0 ) & 0.15 ( 0.04 ) & 0.93 ( 0.07 ) & 1.15 ( 0 ) & 0.34 & 0.15 & 0.93 & 1.15 \\\\\n", + "\t20 & 1000 & 50 & 0.3 & 0.05 & 0.82 & 0.31 ( 0 ) & 0.3 ( 0.05 ) & 1.19 ( 0.08 ) & 1.1 ( 0 ) & 0.31 & 0.30 & 1.19 & 1.10 \\\\\n", + "\t36 & 1000 & 50 & 0.5 & 0.05 & 0.78 & 0.26 ( 0 ) & 0.91 ( 0.07 ) & 1.71 ( 0.07 ) & 1.03 ( 0 ) & 0.26 & 0.91 & 1.71 & 1.03 \\\\\n", + "\t52 & 1000 & 50 & 0.7 & 0.05 & 0.85 & 0.19 ( 0 ) & 1.57 ( 0.07 ) & 2.29 ( 0.06 ) & 0.9 ( 0 ) & 0.19 & 1.57 & 2.29 & 0.90 \\\\\n", + "\t68 & 1000 & 50 & 0.9 & 0.05 & 0.85 & 0.1 ( 0 ) & 1.5 ( 0.07 ) & 2.46 ( 0.06 ) & 0.7 ( 0 ) & 0.10 & 1.50 & 2.46 & 0.70 \\\\\n", + "\t8 & 1000 & 100 & 0.1 & 0.10 & 0.74 & 0.45 ( 0 ) & 1.11 ( 0.1 ) & 0.74 ( 0.07 ) & 1.37 ( 0 ) & 0.45 & 1.11 & 0.74 & 1.37 \\\\\n", + "\t24 & 1000 & 100 & 0.3 & 0.10 & 0.75 & 0.41 ( 0 ) & 1.4 ( 0.1 ) & 0.76 ( 0.07 ) & 1.31 ( 0 ) & 0.41 & 1.40 & 0.76 & 1.31 \\\\\n", + "\t40 & 1000 & 100 & 0.5 & 0.10 & 0.76 & 0.34 ( 0 ) & 2.09 ( 0.1 ) & 1.08 ( 0.07 ) & 1.2 ( 0 ) & 0.34 & 2.09 & 1.08 & 1.20 \\\\\n", + "\t56 & 1000 & 100 & 0.7 & 0.10 & 0.80 & 0.25 ( 0 ) & 2.42 ( 0.1 ) & 1.76 ( 0.05 ) & 1.05 ( 0 ) & 0.25 & 2.42 & 1.76 & 1.05 \\\\\n", + "\t72 & 1000 & 100 & 0.9 & 0.10 & 0.80 & 0.12 ( 0 ) & 2.42 ( 0.11 ) & 1.89 ( 0.05 ) & 0.78 ( 0 ) & 0.12 & 2.42 & 1.89 & 0.78 \\\\\n", + "\t12 & 1000 & 500 & 0.1 & 0.50 & 0.18 & 0.76 ( 0.01 ) & 18.72 ( 0.37 ) & 0.91 ( 0.07 ) & 2.02 ( 0 ) & 0.76 & 18.70 & 0.91 & 2.02 \\\\\n", + "\t28 & 1000 & 500 & 0.3 & 0.50 & 0.19 & 0.68 ( 0.01 ) & 18.71 ( 0.45 ) & 1.13 ( 0.08 ) & 1.91 ( 0 ) & 0.68 & 18.70 & 1.13 & 1.91 \\\\\n", + "\t44 & 1000 & 500 & 0.5 & 0.50 & 0.20 & 0.55 ( 0 ) & 18.4 ( 0.44 ) & 1.77 ( 0.07 ) & 1.72 ( 0 ) & 0.55 & 18.40 & 1.77 & 1.72 \\\\\n", + "\t60 & 1000 & 500 & 0.7 & 0.50 & 0.21 & 0.38 ( 0 ) & 17.4 ( 0.46 ) & 1.98 ( 0.07 ) & 1.43 ( 0 ) & 0.38 & 17.40 & 1.98 & 1.43 \\\\\n", + "\t76 & 1000 & 500 & 0.9 & 0.50 & 0.20 & 0.16 ( 0 ) & 18.68 ( 0.53 ) & 2.35 ( 0.06 ) & 0.96 ( 0 ) & 0.16 & 18.60 & 2.35 & 0.96 \\\\\n", + "\t16 & 1000 & 1000 & 0.1 & 1.00 & 0.09 & 0.85 ( 0.01 ) & 40.92 ( 0.66 ) & 0.98 ( 0.07 ) & 2.21 ( 0 ) & 0.85 & 40.90 & 0.98 & 2.21 \\\\\n", + "\t32 & 1000 & 1000 & 0.3 & 1.00 & 0.08 & 0.74 ( 0.01 ) & 42.87 ( 0.73 ) & 1.44 ( 0.09 ) & 2.07 ( 0 ) & 0.74 & 42.80 & 1.44 & 2.07 \\\\\n", + "\t48 & 1000 & 1000 & 0.5 & 1.00 & 0.09 & 0.61 ( 0.01 ) & 41.21 ( 0.68 ) & 1.84 ( 0.08 ) & 1.87 ( 0 ) & 0.61 & 41.20 & 1.84 & 1.87 \\\\\n", + "\t64 & 1000 & 1000 & 0.7 & 1.00 & 0.09 & 0.42 ( 0 ) & 42.15 ( 0.71 ) & 2.37 ( 0.07 ) & 1.56 ( 0 ) & 0.42 & 42.10 & 2.37 & 1.56 \\\\\n", + "\t80 & 1000 & 1000 & 0.9 & 1.00 & 0.09 & 0.18 ( 0 ) & 43.52 ( 0.89 ) & 2.7 ( 0.07 ) & 1.02 ( 0 ) & 0.18 & 43.50 & 2.70 & 1.02 \\\\\n", + "\\end{tabular}\n" + ], + "text/markdown": [ + "\n", + "| | N | P | Corr | Ratio | Stab | MSE | FP | FN | OOB | MSE_mean | FP_mean | FN_mean | OOB_mean |\n", + "|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n", + "| 1 | 50 | 50 | 0.1 | 1.0 | 0.00 | 1.4 ( 0.06 ) | 1 ( 0 ) | 6 ( 0 ) | 1.98 ( 0.02 ) | 1.40 | 1.00 | 0.00 | 1.98 |\n", + "| 17 | 50 | 50 | 0.3 | 1.0 | 0.00 | 1.22 ( 0.05 ) | 1 ( 0 ) | 6 ( 0 ) | 1.87 ( 0.02 ) | 1.22 | 1.00 | 0.00 | 1.87 |\n", + "| 33 | 50 | 50 | 0.5 | 1.0 | 0.00 | 0.99 ( 0.05 ) | 1 ( 0 ) | 6 ( 0 ) | 1.68 ( 0.02 ) | 0.99 | 1.00 | 0.00 | 1.68 |\n", + "| 49 | 50 | 50 | 0.7 | 1.0 | 0.00 | 0.66 ( 0.03 ) | 1 ( 0 ) | 6 ( 0 ) | 1.44 ( 0.01 ) | 0.66 | 1.00 | 0.00 | 1.44 |\n", + "| 65 | 50 | 50 | 0.9 | 1.0 | 0.00 | 0.27 ( 0.01 ) | 1 ( 0 ) | 6 ( 0 ) | 0.96 ( 0.01 ) | 0.27 | 1.00 | 0.00 | 0.96 |\n", + "| 5 | 50 | 100 | 0.1 | 2.0 | 0.00 | 1.36 ( 0.06 ) | 1 ( 0 ) | 6 ( 0 ) | 2.19 ( 0.02 ) | 1.36 | 1.00 | 0.00 | 2.19 |\n", + "| 21 | 50 | 100 | 0.3 | 2.0 | 0.00 | 1.15 ( 0.05 ) | 1 ( 0 ) | 6 ( 0 ) | 2.03 ( 0.02 ) | 1.15 | 1.00 | 0.00 | 2.03 |\n", + "| 37 | 50 | 100 | 0.5 | 2.0 | 0.00 | 0.91 ( 0.04 ) | 1 ( 0 ) | 6 ( 0 ) | 1.84 ( 0.02 ) | 0.91 | 1.00 | 0.00 | 1.84 |\n", + "| 53 | 50 | 100 | 0.7 | 2.0 | 0.00 | 0.67 ( 0.03 ) | 1 ( 0 ) | 6 ( 0 ) | 1.5 ( 0.02 ) | 0.67 | 1.00 | 0.00 | 1.50 |\n", + "| 69 | 50 | 100 | 0.9 | 2.0 | 0.00 | 0.3 ( 0.01 ) | 1 ( 0 ) | 6 ( 0 ) | 1 ( 0.01 ) | 0.30 | 1.00 | 0.00 | 1.00 |\n", + "| 9 | 50 | 500 | 0.1 | 10.0 | 0.00 | 1.29 ( 0.05 ) | 1 ( 0 ) | 6 ( 0 ) | 2.39 ( 0.02 ) | 1.29 | 1.00 | 0.00 | 2.39 |\n", + "| 25 | 50 | 500 | 0.3 | 10.0 | 0.00 | 1.14 ( 0.05 ) | 1 ( 0 ) | 6 ( 0 ) | 2.24 ( 0.02 ) | 1.14 | 1.00 | 0.00 | 2.24 |\n", + "| 41 | 50 | 500 | 0.5 | 10.0 | 0.00 | 0.95 ( 0.04 ) | 1 ( 0 ) | 6 ( 0 ) | 2.04 ( 0.02 ) | 0.95 | 1.00 | 0.00 | 2.04 |\n", + "| 57 | 50 | 500 | 0.7 | 10.0 | 0.00 | 0.7 ( 0.03 ) | 1 ( 0 ) | 6 ( 0 ) | 1.68 ( 0.02 ) | 0.70 | 1.00 | 0.00 | 1.68 |\n", + "| 73 | 50 | 500 | 0.9 | 10.0 | 0.00 | 0.29 ( 0.01 ) | 1 ( 0 ) | 6 ( 0 ) | 1.1 ( 0.01 ) | 0.29 | 1.00 | 0.00 | 1.10 |\n", + "| 13 | 50 | 1000 | 0.1 | 20.0 | 0.00 | 1.35 ( 0.06 ) | 1 ( 0 ) | 6 ( 0 ) | 2.42 ( 0.02 ) | 1.35 | 1.00 | 0.00 | 2.42 |\n", + "| 29 | 50 | 1000 | 0.3 | 20.0 | 0.00 | 1.2 ( 0.05 ) | 1 ( 0 ) | 6 ( 0 ) | 2.29 ( 0.02 ) | 1.20 | 1.00 | 0.00 | 2.29 |\n", + "| 45 | 50 | 1000 | 0.5 | 20.0 | 0.00 | 0.94 ( 0.04 ) | 1 ( 0 ) | 6 ( 0 ) | 2.04 ( 0.02 ) | 0.94 | 1.00 | 0.00 | 2.04 |\n", + "| 61 | 50 | 1000 | 0.7 | 20.0 | 0.00 | 0.74 ( 0.03 ) | 1 ( 0 ) | 6 ( 0 ) | 1.69 ( 0.02 ) | 0.74 | 1.00 | 0.00 | 1.69 |\n", + "| 77 | 50 | 1000 | 0.9 | 20.0 | 0.00 | 0.29 ( 0.01 ) | 1 ( 0 ) | 6 ( 0 ) | 1.11 ( 0.01 ) | 0.29 | 1.00 | 0.00 | 1.11 |\n", + "| 2 | 100 | 50 | 0.1 | 0.5 | 0.19 | 0.86 ( 0.03 ) | 1.87 ( 0.14 ) | 4.25 ( 0.09 ) | 1.76 ( 0.01 ) | 0.86 | 1.87 | 4.25 | 1.76 |\n", + "| 18 | 100 | 50 | 0.3 | 0.5 | 0.23 | 0.77 ( 0.02 ) | 1.72 ( 0.11 ) | 4.4 ( 0.08 ) | 1.65 ( 0.01 ) | 0.77 | 1.72 | 4.40 | 1.65 |\n", + "| 34 | 100 | 50 | 0.5 | 0.5 | 0.24 | 0.62 ( 0.02 ) | 1.74 ( 0.13 ) | 4.39 ( 0.08 ) | 1.5 ( 0.01 ) | 0.62 | 1.74 | 4.39 | 1.50 |\n", + "| 50 | 100 | 50 | 0.7 | 0.5 | 0.28 | 0.44 ( 0.01 ) | 1.84 ( 0.14 ) | 4.44 ( 0.08 ) | 1.26 ( 0.01 ) | 0.44 | 1.84 | 4.44 | 1.26 |\n", + "| 66 | 100 | 50 | 0.9 | 0.5 | 0.19 | 0.19 ( 0.01 ) | 2.14 ( 0.17 ) | 4.84 ( 0.08 ) | 0.89 ( 0.01 ) | 0.19 | 2.14 | 4.84 | 0.89 |\n", + "| 6 | 100 | 100 | 0.1 | 1.0 | 0.12 | 0.93 ( 0.03 ) | 4.11 ( 0.18 ) | 4.17 ( 0.1 ) | 1.99 ( 0.01 ) | 0.93 | 4.11 | 4.17 | 1.99 |\n", + "| 22 | 100 | 100 | 0.3 | 1.0 | 0.15 | 0.81 ( 0.02 ) | 3.77 ( 0.16 ) | 4.28 ( 0.07 ) | 1.87 ( 0.01 ) | 0.81 | 3.77 | 4.28 | 1.87 |\n", + "| 38 | 100 | 100 | 0.5 | 1.0 | 0.15 | 0.68 ( 0.02 ) | 3.72 ( 0.19 ) | 4.42 ( 0.08 ) | 1.69 ( 0.01 ) | 0.68 | 3.72 | 4.42 | 1.69 |\n", + "| 54 | 100 | 100 | 0.7 | 1.0 | 0.14 | 0.47 ( 0.01 ) | 4.64 ( 0.25 ) | 4.32 ( 0.09 ) | 1.4 ( 0.01 ) | 0.47 | 4.64 | 4.32 | 1.40 |\n", + "| 70 | 100 | 100 | 0.9 | 1.0 | 0.16 | 0.19 ( 0.01 ) | 4.23 ( 0.22 ) | 4.48 ( 0.09 ) | 0.98 ( 0.01 ) | 0.19 | 4.23 | 4.48 | 0.98 |\n", + "| ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... |\n", + "| 11 | 500 | 500 | 0.1 | 1.00 | 0.13 | 0.84 ( 0.01 ) | 20.8 ( 0.48 ) | 1.79 ( 0.1 ) | 2.12 ( 0.01 ) | 0.84 | 20.80 | 1.79 | 2.12 |\n", + "| 27 | 500 | 500 | 0.3 | 1.00 | 0.12 | 0.73 ( 0.01 ) | 20.86 ( 0.41 ) | 2.1 ( 0.09 ) | 1.99 ( 0.01 ) | 0.73 | 20.80 | 2.10 | 1.99 |\n", + "| 43 | 500 | 500 | 0.5 | 1.00 | 0.13 | 0.58 ( 0.01 ) | 20.66 ( 0.49 ) | 2.51 ( 0.07 ) | 1.79 ( 0.01 ) | 0.58 | 20.60 | 2.51 | 1.79 |\n", + "| 59 | 500 | 500 | 0.7 | 1.00 | 0.13 | 0.4 ( 0 ) | 21.21 ( 0.55 ) | 2.97 ( 0.08 ) | 1.49 ( 0 ) | 0.40 | 21.20 | 2.97 | 1.49 |\n", + "| 75 | 500 | 500 | 0.9 | 1.00 | 0.14 | 0.17 ( 0 ) | 21.38 ( 0.6 ) | 3 ( 0.07 ) | 0.99 ( 0 ) | 0.17 | 21.30 | 0.00 | 0.99 |\n", + "| 15 | 500 | 1000 | 0.1 | 2.00 | 0.06 | 0.87 ( 0.01 ) | 46.19 ( 0.64 ) | 1.97 ( 0.09 ) | 2.25 ( 0.01 ) | 0.87 | 46.10 | 1.97 | 2.25 |\n", + "| 31 | 500 | 1000 | 0.3 | 2.00 | 0.05 | 0.78 ( 0.01 ) | 44.58 ( 0.68 ) | 2.48 ( 0.09 ) | 2.13 ( 0.01 ) | 0.78 | 44.50 | 2.48 | 2.13 |\n", + "| 47 | 500 | 1000 | 0.5 | 2.00 | 0.05 | 0.65 ( 0.01 ) | 46.07 ( 0.71 ) | 2.83 ( 0.09 ) | 1.93 ( 0.01 ) | 0.65 | 46.00 | 2.83 | 1.93 |\n", + "| 63 | 500 | 1000 | 0.7 | 2.00 | 0.07 | 0.44 ( 0 ) | 45.41 ( 0.68 ) | 3.02 ( 0.07 ) | 1.59 ( 0.01 ) | 0.44 | 45.40 | 3.02 | 1.59 |\n", + "| 79 | 500 | 1000 | 0.9 | 2.00 | 0.06 | 0.19 ( 0 ) | 46.34 ( 0.86 ) | 3.13 ( 0.08 ) | 1.04 ( 0 ) | 0.19 | 46.30 | 3.13 | 1.04 |\n", + "| 4 | 1000 | 50 | 0.1 | 0.05 | 0.86 | 0.34 ( 0 ) | 0.15 ( 0.04 ) | 0.93 ( 0.07 ) | 1.15 ( 0 ) | 0.34 | 0.15 | 0.93 | 1.15 |\n", + "| 20 | 1000 | 50 | 0.3 | 0.05 | 0.82 | 0.31 ( 0 ) | 0.3 ( 0.05 ) | 1.19 ( 0.08 ) | 1.1 ( 0 ) | 0.31 | 0.30 | 1.19 | 1.10 |\n", + "| 36 | 1000 | 50 | 0.5 | 0.05 | 0.78 | 0.26 ( 0 ) | 0.91 ( 0.07 ) | 1.71 ( 0.07 ) | 1.03 ( 0 ) | 0.26 | 0.91 | 1.71 | 1.03 |\n", + "| 52 | 1000 | 50 | 0.7 | 0.05 | 0.85 | 0.19 ( 0 ) | 1.57 ( 0.07 ) | 2.29 ( 0.06 ) | 0.9 ( 0 ) | 0.19 | 1.57 | 2.29 | 0.90 |\n", + "| 68 | 1000 | 50 | 0.9 | 0.05 | 0.85 | 0.1 ( 0 ) | 1.5 ( 0.07 ) | 2.46 ( 0.06 ) | 0.7 ( 0 ) | 0.10 | 1.50 | 2.46 | 0.70 |\n", + "| 8 | 1000 | 100 | 0.1 | 0.10 | 0.74 | 0.45 ( 0 ) | 1.11 ( 0.1 ) | 0.74 ( 0.07 ) | 1.37 ( 0 ) | 0.45 | 1.11 | 0.74 | 1.37 |\n", + "| 24 | 1000 | 100 | 0.3 | 0.10 | 0.75 | 0.41 ( 0 ) | 1.4 ( 0.1 ) | 0.76 ( 0.07 ) | 1.31 ( 0 ) | 0.41 | 1.40 | 0.76 | 1.31 |\n", + "| 40 | 1000 | 100 | 0.5 | 0.10 | 0.76 | 0.34 ( 0 ) | 2.09 ( 0.1 ) | 1.08 ( 0.07 ) | 1.2 ( 0 ) | 0.34 | 2.09 | 1.08 | 1.20 |\n", + "| 56 | 1000 | 100 | 0.7 | 0.10 | 0.80 | 0.25 ( 0 ) | 2.42 ( 0.1 ) | 1.76 ( 0.05 ) | 1.05 ( 0 ) | 0.25 | 2.42 | 1.76 | 1.05 |\n", + "| 72 | 1000 | 100 | 0.9 | 0.10 | 0.80 | 0.12 ( 0 ) | 2.42 ( 0.11 ) | 1.89 ( 0.05 ) | 0.78 ( 0 ) | 0.12 | 2.42 | 1.89 | 0.78 |\n", + "| 12 | 1000 | 500 | 0.1 | 0.50 | 0.18 | 0.76 ( 0.01 ) | 18.72 ( 0.37 ) | 0.91 ( 0.07 ) | 2.02 ( 0 ) | 0.76 | 18.70 | 0.91 | 2.02 |\n", + "| 28 | 1000 | 500 | 0.3 | 0.50 | 0.19 | 0.68 ( 0.01 ) | 18.71 ( 0.45 ) | 1.13 ( 0.08 ) | 1.91 ( 0 ) | 0.68 | 18.70 | 1.13 | 1.91 |\n", + "| 44 | 1000 | 500 | 0.5 | 0.50 | 0.20 | 0.55 ( 0 ) | 18.4 ( 0.44 ) | 1.77 ( 0.07 ) | 1.72 ( 0 ) | 0.55 | 18.40 | 1.77 | 1.72 |\n", + "| 60 | 1000 | 500 | 0.7 | 0.50 | 0.21 | 0.38 ( 0 ) | 17.4 ( 0.46 ) | 1.98 ( 0.07 ) | 1.43 ( 0 ) | 0.38 | 17.40 | 1.98 | 1.43 |\n", + "| 76 | 1000 | 500 | 0.9 | 0.50 | 0.20 | 0.16 ( 0 ) | 18.68 ( 0.53 ) | 2.35 ( 0.06 ) | 0.96 ( 0 ) | 0.16 | 18.60 | 2.35 | 0.96 |\n", + "| 16 | 1000 | 1000 | 0.1 | 1.00 | 0.09 | 0.85 ( 0.01 ) | 40.92 ( 0.66 ) | 0.98 ( 0.07 ) | 2.21 ( 0 ) | 0.85 | 40.90 | 0.98 | 2.21 |\n", + "| 32 | 1000 | 1000 | 0.3 | 1.00 | 0.08 | 0.74 ( 0.01 ) | 42.87 ( 0.73 ) | 1.44 ( 0.09 ) | 2.07 ( 0 ) | 0.74 | 42.80 | 1.44 | 2.07 |\n", + "| 48 | 1000 | 1000 | 0.5 | 1.00 | 0.09 | 0.61 ( 0.01 ) | 41.21 ( 0.68 ) | 1.84 ( 0.08 ) | 1.87 ( 0 ) | 0.61 | 41.20 | 1.84 | 1.87 |\n", + "| 64 | 1000 | 1000 | 0.7 | 1.00 | 0.09 | 0.42 ( 0 ) | 42.15 ( 0.71 ) | 2.37 ( 0.07 ) | 1.56 ( 0 ) | 0.42 | 42.10 | 2.37 | 1.56 |\n", + "| 80 | 1000 | 1000 | 0.9 | 1.00 | 0.09 | 0.18 ( 0 ) | 43.52 ( 0.89 ) | 2.7 ( 0.07 ) | 1.02 ( 0 ) | 0.18 | 43.50 | 2.70 | 1.02 |\n", + "\n" + ], + "text/plain": [ + " N P Corr Ratio Stab MSE FP FN \n", + "1 50 50 0.1 1.0 0.00 1.4 ( 0.06 ) 1 ( 0 ) 6 ( 0 ) \n", + "17 50 50 0.3 1.0 0.00 1.22 ( 0.05 ) 1 ( 0 ) 6 ( 0 ) \n", + "33 50 50 0.5 1.0 0.00 0.99 ( 0.05 ) 1 ( 0 ) 6 ( 0 ) \n", + "49 50 50 0.7 1.0 0.00 0.66 ( 0.03 ) 1 ( 0 ) 6 ( 0 ) \n", + "65 50 50 0.9 1.0 0.00 0.27 ( 0.01 ) 1 ( 0 ) 6 ( 0 ) \n", + "5 50 100 0.1 2.0 0.00 1.36 ( 0.06 ) 1 ( 0 ) 6 ( 0 ) \n", + "21 50 100 0.3 2.0 0.00 1.15 ( 0.05 ) 1 ( 0 ) 6 ( 0 ) \n", + "37 50 100 0.5 2.0 0.00 0.91 ( 0.04 ) 1 ( 0 ) 6 ( 0 ) \n", + "53 50 100 0.7 2.0 0.00 0.67 ( 0.03 ) 1 ( 0 ) 6 ( 0 ) \n", + "69 50 100 0.9 2.0 0.00 0.3 ( 0.01 ) 1 ( 0 ) 6 ( 0 ) \n", + "9 50 500 0.1 10.0 0.00 1.29 ( 0.05 ) 1 ( 0 ) 6 ( 0 ) \n", + "25 50 500 0.3 10.0 0.00 1.14 ( 0.05 ) 1 ( 0 ) 6 ( 0 ) \n", + "41 50 500 0.5 10.0 0.00 0.95 ( 0.04 ) 1 ( 0 ) 6 ( 0 ) \n", + "57 50 500 0.7 10.0 0.00 0.7 ( 0.03 ) 1 ( 0 ) 6 ( 0 ) \n", + "73 50 500 0.9 10.0 0.00 0.29 ( 0.01 ) 1 ( 0 ) 6 ( 0 ) \n", + "13 50 1000 0.1 20.0 0.00 1.35 ( 0.06 ) 1 ( 0 ) 6 ( 0 ) \n", + "29 50 1000 0.3 20.0 0.00 1.2 ( 0.05 ) 1 ( 0 ) 6 ( 0 ) \n", + "45 50 1000 0.5 20.0 0.00 0.94 ( 0.04 ) 1 ( 0 ) 6 ( 0 ) \n", + "61 50 1000 0.7 20.0 0.00 0.74 ( 0.03 ) 1 ( 0 ) 6 ( 0 ) \n", + "77 50 1000 0.9 20.0 0.00 0.29 ( 0.01 ) 1 ( 0 ) 6 ( 0 ) \n", + "2 100 50 0.1 0.5 0.19 0.86 ( 0.03 ) 1.87 ( 0.14 ) 4.25 ( 0.09 )\n", + "18 100 50 0.3 0.5 0.23 0.77 ( 0.02 ) 1.72 ( 0.11 ) 4.4 ( 0.08 ) \n", + "34 100 50 0.5 0.5 0.24 0.62 ( 0.02 ) 1.74 ( 0.13 ) 4.39 ( 0.08 )\n", + "50 100 50 0.7 0.5 0.28 0.44 ( 0.01 ) 1.84 ( 0.14 ) 4.44 ( 0.08 )\n", + "66 100 50 0.9 0.5 0.19 0.19 ( 0.01 ) 2.14 ( 0.17 ) 4.84 ( 0.08 )\n", + "6 100 100 0.1 1.0 0.12 0.93 ( 0.03 ) 4.11 ( 0.18 ) 4.17 ( 0.1 ) \n", + "22 100 100 0.3 1.0 0.15 0.81 ( 0.02 ) 3.77 ( 0.16 ) 4.28 ( 0.07 )\n", + "38 100 100 0.5 1.0 0.15 0.68 ( 0.02 ) 3.72 ( 0.19 ) 4.42 ( 0.08 )\n", + "54 100 100 0.7 1.0 0.14 0.47 ( 0.01 ) 4.64 ( 0.25 ) 4.32 ( 0.09 )\n", + "70 100 100 0.9 1.0 0.16 0.19 ( 0.01 ) 4.23 ( 0.22 ) 4.48 ( 0.09 )\n", + "... ... ... ... ... ... ... ... ... \n", + "11 500 500 0.1 1.00 0.13 0.84 ( 0.01 ) 20.8 ( 0.48 ) 1.79 ( 0.1 ) \n", + "27 500 500 0.3 1.00 0.12 0.73 ( 0.01 ) 20.86 ( 0.41 ) 2.1 ( 0.09 ) \n", + "43 500 500 0.5 1.00 0.13 0.58 ( 0.01 ) 20.66 ( 0.49 ) 2.51 ( 0.07 )\n", + "59 500 500 0.7 1.00 0.13 0.4 ( 0 ) 21.21 ( 0.55 ) 2.97 ( 0.08 )\n", + "75 500 500 0.9 1.00 0.14 0.17 ( 0 ) 21.38 ( 0.6 ) 3 ( 0.07 ) \n", + "15 500 1000 0.1 2.00 0.06 0.87 ( 0.01 ) 46.19 ( 0.64 ) 1.97 ( 0.09 )\n", + "31 500 1000 0.3 2.00 0.05 0.78 ( 0.01 ) 44.58 ( 0.68 ) 2.48 ( 0.09 )\n", + "47 500 1000 0.5 2.00 0.05 0.65 ( 0.01 ) 46.07 ( 0.71 ) 2.83 ( 0.09 )\n", + "63 500 1000 0.7 2.00 0.07 0.44 ( 0 ) 45.41 ( 0.68 ) 3.02 ( 0.07 )\n", + "79 500 1000 0.9 2.00 0.06 0.19 ( 0 ) 46.34 ( 0.86 ) 3.13 ( 0.08 )\n", + "4 1000 50 0.1 0.05 0.86 0.34 ( 0 ) 0.15 ( 0.04 ) 0.93 ( 0.07 )\n", + "20 1000 50 0.3 0.05 0.82 0.31 ( 0 ) 0.3 ( 0.05 ) 1.19 ( 0.08 )\n", + "36 1000 50 0.5 0.05 0.78 0.26 ( 0 ) 0.91 ( 0.07 ) 1.71 ( 0.07 )\n", + "52 1000 50 0.7 0.05 0.85 0.19 ( 0 ) 1.57 ( 0.07 ) 2.29 ( 0.06 )\n", + "68 1000 50 0.9 0.05 0.85 0.1 ( 0 ) 1.5 ( 0.07 ) 2.46 ( 0.06 )\n", + "8 1000 100 0.1 0.10 0.74 0.45 ( 0 ) 1.11 ( 0.1 ) 0.74 ( 0.07 )\n", + "24 1000 100 0.3 0.10 0.75 0.41 ( 0 ) 1.4 ( 0.1 ) 0.76 ( 0.07 )\n", + "40 1000 100 0.5 0.10 0.76 0.34 ( 0 ) 2.09 ( 0.1 ) 1.08 ( 0.07 )\n", + "56 1000 100 0.7 0.10 0.80 0.25 ( 0 ) 2.42 ( 0.1 ) 1.76 ( 0.05 )\n", + "72 1000 100 0.9 0.10 0.80 0.12 ( 0 ) 2.42 ( 0.11 ) 1.89 ( 0.05 )\n", + "12 1000 500 0.1 0.50 0.18 0.76 ( 0.01 ) 18.72 ( 0.37 ) 0.91 ( 0.07 )\n", + "28 1000 500 0.3 0.50 0.19 0.68 ( 0.01 ) 18.71 ( 0.45 ) 1.13 ( 0.08 )\n", + "44 1000 500 0.5 0.50 0.20 0.55 ( 0 ) 18.4 ( 0.44 ) 1.77 ( 0.07 )\n", + "60 1000 500 0.7 0.50 0.21 0.38 ( 0 ) 17.4 ( 0.46 ) 1.98 ( 0.07 )\n", + "76 1000 500 0.9 0.50 0.20 0.16 ( 0 ) 18.68 ( 0.53 ) 2.35 ( 0.06 )\n", + "16 1000 1000 0.1 1.00 0.09 0.85 ( 0.01 ) 40.92 ( 0.66 ) 0.98 ( 0.07 )\n", + "32 1000 1000 0.3 1.00 0.08 0.74 ( 0.01 ) 42.87 ( 0.73 ) 1.44 ( 0.09 )\n", + "48 1000 1000 0.5 1.00 0.09 0.61 ( 0.01 ) 41.21 ( 0.68 ) 1.84 ( 0.08 )\n", + "64 1000 1000 0.7 1.00 0.09 0.42 ( 0 ) 42.15 ( 0.71 ) 2.37 ( 0.07 )\n", + "80 1000 1000 0.9 1.00 0.09 0.18 ( 0 ) 43.52 ( 0.89 ) 2.7 ( 0.07 ) \n", + " OOB MSE_mean FP_mean FN_mean OOB_mean\n", + "1 1.98 ( 0.02 ) 1.40 1.00 0.00 1.98 \n", + "17 1.87 ( 0.02 ) 1.22 1.00 0.00 1.87 \n", + "33 1.68 ( 0.02 ) 0.99 1.00 0.00 1.68 \n", + "49 1.44 ( 0.01 ) 0.66 1.00 0.00 1.44 \n", + "65 0.96 ( 0.01 ) 0.27 1.00 0.00 0.96 \n", + "5 2.19 ( 0.02 ) 1.36 1.00 0.00 2.19 \n", + "21 2.03 ( 0.02 ) 1.15 1.00 0.00 2.03 \n", + "37 1.84 ( 0.02 ) 0.91 1.00 0.00 1.84 \n", + "53 1.5 ( 0.02 ) 0.67 1.00 0.00 1.50 \n", + "69 1 ( 0.01 ) 0.30 1.00 0.00 1.00 \n", + "9 2.39 ( 0.02 ) 1.29 1.00 0.00 2.39 \n", + "25 2.24 ( 0.02 ) 1.14 1.00 0.00 2.24 \n", + "41 2.04 ( 0.02 ) 0.95 1.00 0.00 2.04 \n", + "57 1.68 ( 0.02 ) 0.70 1.00 0.00 1.68 \n", + "73 1.1 ( 0.01 ) 0.29 1.00 0.00 1.10 \n", + "13 2.42 ( 0.02 ) 1.35 1.00 0.00 2.42 \n", + "29 2.29 ( 0.02 ) 1.20 1.00 0.00 2.29 \n", + "45 2.04 ( 0.02 ) 0.94 1.00 0.00 2.04 \n", + "61 1.69 ( 0.02 ) 0.74 1.00 0.00 1.69 \n", + "77 1.11 ( 0.01 ) 0.29 1.00 0.00 1.11 \n", + "2 1.76 ( 0.01 ) 0.86 1.87 4.25 1.76 \n", + "18 1.65 ( 0.01 ) 0.77 1.72 4.40 1.65 \n", + "34 1.5 ( 0.01 ) 0.62 1.74 4.39 1.50 \n", + "50 1.26 ( 0.01 ) 0.44 1.84 4.44 1.26 \n", + "66 0.89 ( 0.01 ) 0.19 2.14 4.84 0.89 \n", + "6 1.99 ( 0.01 ) 0.93 4.11 4.17 1.99 \n", + "22 1.87 ( 0.01 ) 0.81 3.77 4.28 1.87 \n", + "38 1.69 ( 0.01 ) 0.68 3.72 4.42 1.69 \n", + "54 1.4 ( 0.01 ) 0.47 4.64 4.32 1.40 \n", + "70 0.98 ( 0.01 ) 0.19 4.23 4.48 0.98 \n", + "... ... ... ... ... ... \n", + "11 2.12 ( 0.01 ) 0.84 20.80 1.79 2.12 \n", + "27 1.99 ( 0.01 ) 0.73 20.80 2.10 1.99 \n", + "43 1.79 ( 0.01 ) 0.58 20.60 2.51 1.79 \n", + "59 1.49 ( 0 ) 0.40 21.20 2.97 1.49 \n", + "75 0.99 ( 0 ) 0.17 21.30 0.00 0.99 \n", + "15 2.25 ( 0.01 ) 0.87 46.10 1.97 2.25 \n", + "31 2.13 ( 0.01 ) 0.78 44.50 2.48 2.13 \n", + "47 1.93 ( 0.01 ) 0.65 46.00 2.83 1.93 \n", + "63 1.59 ( 0.01 ) 0.44 45.40 3.02 1.59 \n", + "79 1.04 ( 0 ) 0.19 46.30 3.13 1.04 \n", + "4 1.15 ( 0 ) 0.34 0.15 0.93 1.15 \n", + "20 1.1 ( 0 ) 0.31 0.30 1.19 1.10 \n", + "36 1.03 ( 0 ) 0.26 0.91 1.71 1.03 \n", + "52 0.9 ( 0 ) 0.19 1.57 2.29 0.90 \n", + "68 0.7 ( 0 ) 0.10 1.50 2.46 0.70 \n", + "8 1.37 ( 0 ) 0.45 1.11 0.74 1.37 \n", + "24 1.31 ( 0 ) 0.41 1.40 0.76 1.31 \n", + "40 1.2 ( 0 ) 0.34 2.09 1.08 1.20 \n", + "56 1.05 ( 0 ) 0.25 2.42 1.76 1.05 \n", + "72 0.78 ( 0 ) 0.12 2.42 1.89 0.78 \n", + "12 2.02 ( 0 ) 0.76 18.70 0.91 2.02 \n", + "28 1.91 ( 0 ) 0.68 18.70 1.13 1.91 \n", + "44 1.72 ( 0 ) 0.55 18.40 1.77 1.72 \n", + "60 1.43 ( 0 ) 0.38 17.40 1.98 1.43 \n", + "76 0.96 ( 0 ) 0.16 18.60 2.35 0.96 \n", + "16 2.21 ( 0 ) 0.85 40.90 0.98 2.21 \n", + "32 2.07 ( 0 ) 0.74 42.80 1.44 2.07 \n", + "48 1.87 ( 0 ) 0.61 41.20 1.84 1.87 \n", + "64 1.56 ( 0 ) 0.42 42.10 2.37 1.56 \n", + "80 1.02 ( 0 ) 0.18 43.50 2.70 1.02 " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "result.table_toe[with(result.table_toe, order(N, P, Corr)),]" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "R", + "language": "R", + "name": "ir" + }, + "language_info": { + "codemirror_mode": "r", + "file_extension": ".r", + "mimetype": "text/x-r-source", + "name": "R", + "pygments_lexer": "r", + "version": "3.6.1" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/simulations/notebooks_simulations/sim_toe_summary.ipynb b/simulations/notebooks_simulations/sim_toe_summary.ipynb new file mode 100644 index 0000000..a6031fb --- /dev/null +++ b/simulations/notebooks_simulations/sim_toe_summary.ipynb @@ -0,0 +1,1013 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "toe_lasso = read.csv('../results_summary/sim_toe_lasso.txt', sep='\\t')\n", + "toe_elnet = read.csv('../results_summary/sim_toe_elnet.txt', sep='\\t')\n", + "toe_rf = read.csv('../results_summary/sim_toe_rf.txt', sep='\\t')\n", + "toe_compLasso = read.csv('../results_summary/sim_toe_compLasso.txt', sep='\\t')\n", + "\n", + "toe_lasso$method = rep('lasso', dim(toe_lasso)[1])\n", + "toe_elnet$method = rep('elnet', dim(toe_elnet)[1])\n", + "toe_rf$method = rep('rf', dim(toe_rf)[1])\n", + "toe_compLasso$method = rep('compLasso', dim(toe_compLasso)[1])" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
      \n", + "\t
    1. 80
      2. \n", + "\t
    2. 14
      3. \n", + "
    \n" + ], + "text/latex": [ + "\\begin{enumerate*}\n", + "\\item 80\n", + "\\item 14\n", + "\\end{enumerate*}\n" + ], + "text/markdown": [ + "1. 80\n", + "2. 14\n", + "\n", + "\n" + ], + "text/plain": [ + "[1] 80 14" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
      \n", + "\t
    1. 80
      2. \n", + "\t
    2. 14
      3. \n", + "
    \n" + ], + "text/latex": [ + "\\begin{enumerate*}\n", + "\\item 80\n", + "\\item 14\n", + "\\end{enumerate*}\n" + ], + "text/markdown": [ + "1. 80\n", + "2. 14\n", + "\n", + "\n" + ], + "text/plain": [ + "[1] 80 14" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
      \n", + "\t
    1. 80
      2. \n", + "\t
    2. 16
      3. \n", + "
    \n" + ], + "text/latex": [ + "\\begin{enumerate*}\n", + "\\item 80\n", + "\\item 16\n", + "\\end{enumerate*}\n" + ], + "text/markdown": [ + "1. 80\n", + "2. 16\n", + "\n", + "\n" + ], + "text/plain": [ + "[1] 80 16" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
      \n", + "\t
    1. 80
      2. \n", + "\t
    2. 14
      3. \n", + "
    \n" + ], + "text/latex": [ + "\\begin{enumerate*}\n", + "\\item 80\n", + "\\item 14\n", + "\\end{enumerate*}\n" + ], + "text/markdown": [ + "1. 80\n", + "2. 14\n", + "\n", + "\n" + ], + "text/plain": [ + "[1] 80 14" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "dim(toe_lasso)\n", + "dim(toe_elnet)\n", + "dim(toe_rf)\n", + "dim(toe_compLasso)" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
      \n", + "\t
    1. 80
      2. \n", + "\t
    2. 14
      3. \n", + "
    \n" + ], + "text/latex": [ + "\\begin{enumerate*}\n", + "\\item 80\n", + "\\item 14\n", + "\\end{enumerate*}\n" + ], + "text/markdown": [ + "1. 80\n", + "2. 14\n", + "\n", + "\n" + ], + "text/plain": [ + "[1] 80 14" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "toe_rf = toe_rf[!names(toe_rf)%in% c('OOB', 'OOB_mean', 'toeex')]\n", + "dim(toe_rf)" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
      \n", + "\t
    1. 320
      2. \n", + "\t
    2. 14
      3. \n", + "
    \n" + ], + "text/latex": [ + "\\begin{enumerate*}\n", + "\\item 320\n", + "\\item 14\n", + "\\end{enumerate*}\n" + ], + "text/markdown": [ + "1. 320\n", + "2. 14\n", + "\n", + "\n" + ], + "text/plain": [ + "[1] 320 14" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "toe = rbind(toe_lasso, toe_elnet)\n", + "toe = rbind(toe, toe_rf)\n", + "toe = rbind(toe, toe_compLasso)\n", + "dim(toe)" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", + "\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\n", + "
    NPCorrRatioStabMSEFPFNnum_selectFDRMSE_meanFP_meanFN_meanmethod
    16150 50 0.1 1 0 1.4 ( 0.06 ) 1 ( 0 ) 6 ( 0 ) 0 NaN 1.40 1 6 rf
    16550 100 0.1 2 0 1.36 ( 0.06 )1 ( 0 ) 6 ( 0 ) 0 NaN 1.36 1 6 rf
    16950 500 0.1 10 0 1.29 ( 0.05 )1 ( 0 ) 6 ( 0 ) 0 NaN 1.29 1 6 rf
    17350 1000 0.1 20 0 1.35 ( 0.06 )1 ( 0 ) 6 ( 0 ) 0 NaN 1.35 1 6 rf
    17750 50 0.3 1 0 1.22 ( 0.05 )1 ( 0 ) 6 ( 0 ) 0 NaN 1.22 1 6 rf
    18150 100 0.3 2 0 1.15 ( 0.05 )1 ( 0 ) 6 ( 0 ) 0 NaN 1.15 1 6 rf
    18550 500 0.3 10 0 1.14 ( 0.05 )1 ( 0 ) 6 ( 0 ) 0 NaN 1.14 1 6 rf
    18950 1000 0.3 20 0 1.2 ( 0.05 ) 1 ( 0 ) 6 ( 0 ) 0 NaN 1.20 1 6 rf
    19350 50 0.5 1 0 0.99 ( 0.05 )1 ( 0 ) 6 ( 0 ) 0 NaN 0.99 1 6 rf
    19750 100 0.5 2 0 0.91 ( 0.04 )1 ( 0 ) 6 ( 0 ) 0 NaN 0.91 1 6 rf
    20150 500 0.5 10 0 0.95 ( 0.04 )1 ( 0 ) 6 ( 0 ) 0 NaN 0.95 1 6 rf
    20550 1000 0.5 20 0 0.94 ( 0.04 )1 ( 0 ) 6 ( 0 ) 0 NaN 0.94 1 6 rf
    20950 50 0.7 1 0 0.66 ( 0.03 )1 ( 0 ) 6 ( 0 ) 0 NaN 0.66 1 6 rf
    21350 100 0.7 2 0 0.67 ( 0.03 )1 ( 0 ) 6 ( 0 ) 0 NaN 0.67 1 6 rf
    21750 500 0.7 10 0 0.7 ( 0.03 ) 1 ( 0 ) 6 ( 0 ) 0 NaN 0.70 1 6 rf
    22150 1000 0.7 20 0 0.74 ( 0.03 )1 ( 0 ) 6 ( 0 ) 0 NaN 0.74 1 6 rf
    22550 50 0.9 1 0 0.27 ( 0.01 )1 ( 0 ) 6 ( 0 ) 0 NaN 0.27 1 6 rf
    22950 100 0.9 2 0 0.3 ( 0.01 ) 1 ( 0 ) 6 ( 0 ) 0 NaN 0.30 1 6 rf
    23350 500 0.9 10 0 0.29 ( 0.01 )1 ( 0 ) 6 ( 0 ) 0 NaN 0.29 1 6 rf
    23750 1000 0.9 20 0 0.29 ( 0.01 )1 ( 0 ) 6 ( 0 ) 0 NaN 0.29 1 6 rf
    \n" + ], + "text/latex": [ + "\\begin{tabular}{r|llllllllllllll}\n", + " & N & P & Corr & Ratio & Stab & MSE & FP & FN & num\\_select & FDR & MSE\\_mean & FP\\_mean & FN\\_mean & method\\\\\n", + "\\hline\n", + "\t161 & 50 & 50 & 0.1 & 1 & 0 & 1.4 ( 0.06 ) & 1 ( 0 ) & 6 ( 0 ) & 0 & NaN & 1.40 & 1 & 6 & rf \\\\\n", + "\t165 & 50 & 100 & 0.1 & 2 & 0 & 1.36 ( 0.06 ) & 1 ( 0 ) & 6 ( 0 ) & 0 & NaN & 1.36 & 1 & 6 & rf \\\\\n", + "\t169 & 50 & 500 & 0.1 & 10 & 0 & 1.29 ( 0.05 ) & 1 ( 0 ) & 6 ( 0 ) & 0 & NaN & 1.29 & 1 & 6 & rf \\\\\n", + "\t173 & 50 & 1000 & 0.1 & 20 & 0 & 1.35 ( 0.06 ) & 1 ( 0 ) & 6 ( 0 ) & 0 & NaN & 1.35 & 1 & 6 & rf \\\\\n", + "\t177 & 50 & 50 & 0.3 & 1 & 0 & 1.22 ( 0.05 ) & 1 ( 0 ) & 6 ( 0 ) & 0 & NaN & 1.22 & 1 & 6 & rf \\\\\n", + "\t181 & 50 & 100 & 0.3 & 2 & 0 & 1.15 ( 0.05 ) & 1 ( 0 ) & 6 ( 0 ) & 0 & NaN & 1.15 & 1 & 6 & rf \\\\\n", + "\t185 & 50 & 500 & 0.3 & 10 & 0 & 1.14 ( 0.05 ) & 1 ( 0 ) & 6 ( 0 ) & 0 & NaN & 1.14 & 1 & 6 & rf \\\\\n", + "\t189 & 50 & 1000 & 0.3 & 20 & 0 & 1.2 ( 0.05 ) & 1 ( 0 ) & 6 ( 0 ) & 0 & NaN & 1.20 & 1 & 6 & rf \\\\\n", + "\t193 & 50 & 50 & 0.5 & 1 & 0 & 0.99 ( 0.05 ) & 1 ( 0 ) & 6 ( 0 ) & 0 & NaN & 0.99 & 1 & 6 & rf \\\\\n", + "\t197 & 50 & 100 & 0.5 & 2 & 0 & 0.91 ( 0.04 ) & 1 ( 0 ) & 6 ( 0 ) & 0 & NaN & 0.91 & 1 & 6 & rf \\\\\n", + "\t201 & 50 & 500 & 0.5 & 10 & 0 & 0.95 ( 0.04 ) & 1 ( 0 ) & 6 ( 0 ) & 0 & NaN & 0.95 & 1 & 6 & rf \\\\\n", + "\t205 & 50 & 1000 & 0.5 & 20 & 0 & 0.94 ( 0.04 ) & 1 ( 0 ) & 6 ( 0 ) & 0 & NaN & 0.94 & 1 & 6 & rf \\\\\n", + "\t209 & 50 & 50 & 0.7 & 1 & 0 & 0.66 ( 0.03 ) & 1 ( 0 ) & 6 ( 0 ) & 0 & NaN & 0.66 & 1 & 6 & rf \\\\\n", + "\t213 & 50 & 100 & 0.7 & 2 & 0 & 0.67 ( 0.03 ) & 1 ( 0 ) & 6 ( 0 ) & 0 & NaN & 0.67 & 1 & 6 & rf \\\\\n", + "\t217 & 50 & 500 & 0.7 & 10 & 0 & 0.7 ( 0.03 ) & 1 ( 0 ) & 6 ( 0 ) & 0 & NaN & 0.70 & 1 & 6 & rf \\\\\n", + "\t221 & 50 & 1000 & 0.7 & 20 & 0 & 0.74 ( 0.03 ) & 1 ( 0 ) & 6 ( 0 ) & 0 & NaN & 0.74 & 1 & 6 & rf \\\\\n", + "\t225 & 50 & 50 & 0.9 & 1 & 0 & 0.27 ( 0.01 ) & 1 ( 0 ) & 6 ( 0 ) & 0 & NaN & 0.27 & 1 & 6 & rf \\\\\n", + "\t229 & 50 & 100 & 0.9 & 2 & 0 & 0.3 ( 0.01 ) & 1 ( 0 ) & 6 ( 0 ) & 0 & NaN & 0.30 & 1 & 6 & rf \\\\\n", + "\t233 & 50 & 500 & 0.9 & 10 & 0 & 0.29 ( 0.01 ) & 1 ( 0 ) & 6 ( 0 ) & 0 & NaN & 0.29 & 1 & 6 & rf \\\\\n", + "\t237 & 50 & 1000 & 0.9 & 20 & 0 & 0.29 ( 0.01 ) & 1 ( 0 ) & 6 ( 0 ) & 0 & NaN & 0.29 & 1 & 6 & rf \\\\\n", + "\\end{tabular}\n" + ], + "text/markdown": [ + "\n", + "| | N | P | Corr | Ratio | Stab | MSE | FP | FN | num_select | FDR | MSE_mean | FP_mean | FN_mean | method |\n", + "|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n", + "| 161 | 50 | 50 | 0.1 | 1 | 0 | 1.4 ( 0.06 ) | 1 ( 0 ) | 6 ( 0 ) | 0 | NaN | 1.40 | 1 | 6 | rf |\n", + "| 165 | 50 | 100 | 0.1 | 2 | 0 | 1.36 ( 0.06 ) | 1 ( 0 ) | 6 ( 0 ) | 0 | NaN | 1.36 | 1 | 6 | rf |\n", + "| 169 | 50 | 500 | 0.1 | 10 | 0 | 1.29 ( 0.05 ) | 1 ( 0 ) | 6 ( 0 ) | 0 | NaN | 1.29 | 1 | 6 | rf |\n", + "| 173 | 50 | 1000 | 0.1 | 20 | 0 | 1.35 ( 0.06 ) | 1 ( 0 ) | 6 ( 0 ) | 0 | NaN | 1.35 | 1 | 6 | rf |\n", + "| 177 | 50 | 50 | 0.3 | 1 | 0 | 1.22 ( 0.05 ) | 1 ( 0 ) | 6 ( 0 ) | 0 | NaN | 1.22 | 1 | 6 | rf |\n", + "| 181 | 50 | 100 | 0.3 | 2 | 0 | 1.15 ( 0.05 ) | 1 ( 0 ) | 6 ( 0 ) | 0 | NaN | 1.15 | 1 | 6 | rf |\n", + "| 185 | 50 | 500 | 0.3 | 10 | 0 | 1.14 ( 0.05 ) | 1 ( 0 ) | 6 ( 0 ) | 0 | NaN | 1.14 | 1 | 6 | rf |\n", + "| 189 | 50 | 1000 | 0.3 | 20 | 0 | 1.2 ( 0.05 ) | 1 ( 0 ) | 6 ( 0 ) | 0 | NaN | 1.20 | 1 | 6 | rf |\n", + "| 193 | 50 | 50 | 0.5 | 1 | 0 | 0.99 ( 0.05 ) | 1 ( 0 ) | 6 ( 0 ) | 0 | NaN | 0.99 | 1 | 6 | rf |\n", + "| 197 | 50 | 100 | 0.5 | 2 | 0 | 0.91 ( 0.04 ) | 1 ( 0 ) | 6 ( 0 ) | 0 | NaN | 0.91 | 1 | 6 | rf |\n", + "| 201 | 50 | 500 | 0.5 | 10 | 0 | 0.95 ( 0.04 ) | 1 ( 0 ) | 6 ( 0 ) | 0 | NaN | 0.95 | 1 | 6 | rf |\n", + "| 205 | 50 | 1000 | 0.5 | 20 | 0 | 0.94 ( 0.04 ) | 1 ( 0 ) | 6 ( 0 ) | 0 | NaN | 0.94 | 1 | 6 | rf |\n", + "| 209 | 50 | 50 | 0.7 | 1 | 0 | 0.66 ( 0.03 ) | 1 ( 0 ) | 6 ( 0 ) | 0 | NaN | 0.66 | 1 | 6 | rf |\n", + "| 213 | 50 | 100 | 0.7 | 2 | 0 | 0.67 ( 0.03 ) | 1 ( 0 ) | 6 ( 0 ) | 0 | NaN | 0.67 | 1 | 6 | rf |\n", + "| 217 | 50 | 500 | 0.7 | 10 | 0 | 0.7 ( 0.03 ) | 1 ( 0 ) | 6 ( 0 ) | 0 | NaN | 0.70 | 1 | 6 | rf |\n", + "| 221 | 50 | 1000 | 0.7 | 20 | 0 | 0.74 ( 0.03 ) | 1 ( 0 ) | 6 ( 0 ) | 0 | NaN | 0.74 | 1 | 6 | rf |\n", + "| 225 | 50 | 50 | 0.9 | 1 | 0 | 0.27 ( 0.01 ) | 1 ( 0 ) | 6 ( 0 ) | 0 | NaN | 0.27 | 1 | 6 | rf |\n", + "| 229 | 50 | 100 | 0.9 | 2 | 0 | 0.3 ( 0.01 ) | 1 ( 0 ) | 6 ( 0 ) | 0 | NaN | 0.30 | 1 | 6 | rf |\n", + "| 233 | 50 | 500 | 0.9 | 10 | 0 | 0.29 ( 0.01 ) | 1 ( 0 ) | 6 ( 0 ) | 0 | NaN | 0.29 | 1 | 6 | rf |\n", + "| 237 | 50 | 1000 | 0.9 | 20 | 0 | 0.29 ( 0.01 ) | 1 ( 0 ) | 6 ( 0 ) | 0 | NaN | 0.29 | 1 | 6 | rf |\n", + "\n" + ], + "text/plain": [ + " N P Corr Ratio Stab MSE FP FN num_select FDR\n", + "161 50 50 0.1 1 0 1.4 ( 0.06 ) 1 ( 0 ) 6 ( 0 ) 0 NaN\n", + "165 50 100 0.1 2 0 1.36 ( 0.06 ) 1 ( 0 ) 6 ( 0 ) 0 NaN\n", + "169 50 500 0.1 10 0 1.29 ( 0.05 ) 1 ( 0 ) 6 ( 0 ) 0 NaN\n", + "173 50 1000 0.1 20 0 1.35 ( 0.06 ) 1 ( 0 ) 6 ( 0 ) 0 NaN\n", + "177 50 50 0.3 1 0 1.22 ( 0.05 ) 1 ( 0 ) 6 ( 0 ) 0 NaN\n", + "181 50 100 0.3 2 0 1.15 ( 0.05 ) 1 ( 0 ) 6 ( 0 ) 0 NaN\n", + "185 50 500 0.3 10 0 1.14 ( 0.05 ) 1 ( 0 ) 6 ( 0 ) 0 NaN\n", + "189 50 1000 0.3 20 0 1.2 ( 0.05 ) 1 ( 0 ) 6 ( 0 ) 0 NaN\n", + "193 50 50 0.5 1 0 0.99 ( 0.05 ) 1 ( 0 ) 6 ( 0 ) 0 NaN\n", + "197 50 100 0.5 2 0 0.91 ( 0.04 ) 1 ( 0 ) 6 ( 0 ) 0 NaN\n", + "201 50 500 0.5 10 0 0.95 ( 0.04 ) 1 ( 0 ) 6 ( 0 ) 0 NaN\n", + "205 50 1000 0.5 20 0 0.94 ( 0.04 ) 1 ( 0 ) 6 ( 0 ) 0 NaN\n", + "209 50 50 0.7 1 0 0.66 ( 0.03 ) 1 ( 0 ) 6 ( 0 ) 0 NaN\n", + "213 50 100 0.7 2 0 0.67 ( 0.03 ) 1 ( 0 ) 6 ( 0 ) 0 NaN\n", + "217 50 500 0.7 10 0 0.7 ( 0.03 ) 1 ( 0 ) 6 ( 0 ) 0 NaN\n", + "221 50 1000 0.7 20 0 0.74 ( 0.03 ) 1 ( 0 ) 6 ( 0 ) 0 NaN\n", + "225 50 50 0.9 1 0 0.27 ( 0.01 ) 1 ( 0 ) 6 ( 0 ) 0 NaN\n", + "229 50 100 0.9 2 0 0.3 ( 0.01 ) 1 ( 0 ) 6 ( 0 ) 0 NaN\n", + "233 50 500 0.9 10 0 0.29 ( 0.01 ) 1 ( 0 ) 6 ( 0 ) 0 NaN\n", + "237 50 1000 0.9 20 0 0.29 ( 0.01 ) 1 ( 0 ) 6 ( 0 ) 0 NaN\n", + " MSE_mean FP_mean FN_mean method\n", + "161 1.40 1 6 rf \n", + "165 1.36 1 6 rf \n", + "169 1.29 1 6 rf \n", + "173 1.35 1 6 rf \n", + "177 1.22 1 6 rf \n", + "181 1.15 1 6 rf \n", + "185 1.14 1 6 rf \n", + "189 1.20 1 6 rf \n", + "193 0.99 1 6 rf \n", + "197 0.91 1 6 rf \n", + "201 0.95 1 6 rf \n", + "205 0.94 1 6 rf \n", + "209 0.66 1 6 rf \n", + "213 0.67 1 6 rf \n", + "217 0.70 1 6 rf \n", + "221 0.74 1 6 rf \n", + "225 0.27 1 6 rf \n", + "229 0.30 1 6 rf \n", + "233 0.29 1 6 rf \n", + "237 0.29 1 6 rf " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "toe[toe$num_select == 0, ]" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [], + "source": [ + "# fix false positives: when nothing was selected, then fp should be zero\n", + "# fp is now 1 due to length(setdiff(0/NA)) = 1 when actually should be 0 (in cv_sim_apply.R)\n", + "toe$FP_mean[toe$num_select ==0] = 0\n", + "write.table(toe, '../results_summary/table_toe_all.txt', sep='\\t', row.names=F)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### data visulization" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [], + "source": [ + "library(ggplot2)\n", + "toe$N = as.factor(toe$N)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### correlation 0.1" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [], + "source": [ + "toe_sub1 = toe[toe$Corr %in% 0.1, ]" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [], + "source": [ + "fig_num_select <- ggplot(toe_sub1, aes(fill=method, y=num_select, x=N)) + \n", + " geom_bar(position=\"dodge\", stat=\"identity\") + \n", + " ggtitle(\"Toeplitz Correlation 0.1\") + xlab(\"Number of Samples\") + ylab(\"Number of Selected Features\") + \n", + " theme(plot.title = element_text(hjust = 0.5), legend.position=\"top\") + \n", + " facet_grid(~P, labeller = label_both) + ylim(0, 65) + \n", + " scale_fill_brewer(palette=\"Dark2\", name=\"Method\",\n", + " breaks=c(\"compLasso\", \"elnet\", \"lasso\", \"rf\"),\n", + " labels=c(\"Compositional Lasso\", \"Elastic Net\", \"Lasso\", \"Random Forest\"))\n", + "ggsave('../figures_sim/figure_toe_corr0.1_num_select.pdf', height=5, width=5.5)" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [], + "source": [ + "fig_stab <- ggplot(toe_sub1, aes(fill=method, y=Stab, x=N)) + \n", + " geom_bar(position=\"dodge\", stat=\"identity\") + \n", + " ggtitle(\"Toeplitz Correlation 0.1\") + xlab(\"Number of Samples\") + ylab(\"Stability\") + \n", + " theme(plot.title = element_text(hjust = 0.5), legend.position=\"top\") + \n", + " facet_grid(~P, labeller = label_both) +\n", + " scale_fill_brewer(palette=\"Dark2\", name=\"Method\",\n", + " breaks=c(\"compLasso\", \"elnet\", \"lasso\", \"rf\"),\n", + " labels=c(\"Compositional Lasso\", \"Elastic Net\", \"Lasso\", \"Random Forest\"))\n", + "ggsave('../figures_sim/figure_toe_corr0.1_Stab.pdf', height=5, width=5.5)" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [], + "source": [ + "fig_mse <- ggplot(toe_sub1, aes(fill=method, y=MSE_mean, x=N)) + \n", + " geom_bar(position=\"dodge\", stat=\"identity\") + \n", + " ggtitle(\"Toeplitz Correlation 0.1\") + xlab(\"Number of Samples\") + ylab(\"MSE\") + \n", + " theme(plot.title = element_text(hjust = 0.5), legend.position=\"top\") + \n", + " facet_grid(~P, labeller = label_both) +\n", + " scale_fill_brewer(palette=\"Dark2\", name=\"Method\",\n", + " breaks=c(\"compLasso\", \"elnet\", \"lasso\", \"rf\"),\n", + " labels=c(\"Compositional Lasso\", \"Elastic Net\", \"Lasso\", \"Random Forest\"))\n", + "ggsave('../figures_sim/figure_toe_corr0.1_MSE.pdf', height=5, width=5.5)" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [], + "source": [ + "fig_FP <- ggplot(toe_sub1, aes(fill=method, y=FP_mean, x=N)) + \n", + " geom_bar(position=\"dodge\", stat=\"identity\") + \n", + " ggtitle(\"Toeplitz Correlation 0.1\") + xlab(\"Number of Samples\") + ylab(\"#False Positives\") + \n", + " theme(plot.title = element_text(hjust = 0.5), legend.position=\"top\") + \n", + " facet_grid(~P, labeller = label_both) + ylim(0, 72) + \n", + " scale_fill_brewer(palette=\"Dark2\", name=\"Method\",\n", + " breaks=c(\"compLasso\", \"elnet\", \"lasso\", \"rf\"),\n", + " labels=c(\"Compositional Lasso\", \"Elastic Net\", \"Lasso\", \"Random Forest\"))\n", + "ggsave('../figures_sim/figure_toe_corr0.1_FP.pdf', height=5, width=5.5)" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [], + "source": [ + "fig_FN <- ggplot(toe_sub1, aes(fill=method, y=FN_mean, x=N)) + \n", + " geom_bar(position=\"dodge\", stat=\"identity\") + \n", + " ggtitle(\"Toeplitz Correlation 0.1\") + xlab(\"Number of Samples\") + ylab(\"#False Negatives\") + \n", + " theme(plot.title = element_text(hjust = 0.5), legend.position=\"top\") + \n", + " facet_grid(~P, labeller = label_both) +\n", + " scale_fill_brewer(palette=\"Dark2\", name=\"Method\",\n", + " breaks=c(\"compLasso\", \"elnet\", \"lasso\", \"rf\"),\n", + " labels=c(\"Compositional Lasso\", \"Elastic Net\", \"Lasso\", \"Random Forest\"))\n", + "ggsave('../figures_sim/figure_toe_corr0.1_FN.pdf', height=5, width=5.5)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Correlation 0.3" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": {}, + "outputs": [], + "source": [ + "toe_sub3 = toe[toe$Corr %in% 0.3, ]" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": {}, + "outputs": [], + "source": [ + "fig_num_select <- ggplot(toe_sub3, aes(fill=method, y=num_select, x=N)) + \n", + " geom_bar(position=\"dodge\", stat=\"identity\") + \n", + " ggtitle(\"Toeplitz Correlation 0.3\") + xlab(\"Number of Samples\") + ylab(\"Number of Selected Features\") + \n", + " theme(plot.title = element_text(hjust = 0.5), legend.position=\"top\") + \n", + " facet_grid(~P, labeller = label_both) + ylim(0, 65) + \n", + " scale_fill_brewer(palette=\"Dark2\", name=\"Method\",\n", + " breaks=c(\"compLasso\", \"elnet\", \"lasso\", \"rf\"),\n", + " labels=c(\"Compositional Lasso\", \"Elastic Net\", \"Lasso\", \"Random Forest\"))\n", + "ggsave('../figures_sim/figure_toe_corr0.3_num_select.pdf', height=5, width=5.5)" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": {}, + "outputs": [], + "source": [ + "fig_stab <- ggplot(toe_sub3, aes(fill=method, y=Stab, x=N)) + \n", + " geom_bar(position=\"dodge\", stat=\"identity\") + \n", + " ggtitle(\"Toeplitz Correlation 0.3\") + xlab(\"Number of Samples\") + ylab(\"Stability\") + \n", + " theme(plot.title = element_text(hjust = 0.5), legend.position=\"top\") + \n", + " facet_grid(~P, labeller = label_both) +\n", + " scale_fill_brewer(palette=\"Dark2\", name=\"Method\",\n", + " breaks=c(\"compLasso\", \"elnet\", \"lasso\", \"rf\"),\n", + " labels=c(\"Compositional Lasso\", \"Elastic Net\", \"Lasso\", \"Random Forest\"))\n", + "ggsave('../figures_sim/figure_toe_corr0.3_Stab.pdf', height=5, width=5.5)" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": {}, + "outputs": [], + "source": [ + "fig_mse <- ggplot(toe_sub3, aes(fill=method, y=MSE_mean, x=N)) + \n", + " geom_bar(position=\"dodge\", stat=\"identity\") + \n", + " ggtitle(\"Toeplitz Correlation 0.3\") + xlab(\"Number of Samples\") + ylab(\"MSE\") + \n", + " theme(plot.title = element_text(hjust = 0.5), legend.position=\"top\") + \n", + " facet_grid(~P, labeller = label_both) +\n", + " scale_fill_brewer(palette=\"Dark2\", name=\"Method\",\n", + " breaks=c(\"compLasso\", \"elnet\", \"lasso\", \"rf\"),\n", + " labels=c(\"Compositional Lasso\", \"Elastic Net\", \"Lasso\", \"Random Forest\"))\n", + "ggsave('../figures_sim/figure_toe_corr0.3_MSE.pdf', height=5, width=5.5)" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": {}, + "outputs": [], + "source": [ + "fig_FP <- ggplot(toe_sub3, aes(fill=method, y=FP_mean, x=N)) + \n", + " geom_bar(position=\"dodge\", stat=\"identity\") + \n", + " ggtitle(\"Toeplitz Correlation 0.3\") + xlab(\"Number of Samples\") + ylab(\"#False Positives\") + \n", + " theme(plot.title = element_text(hjust = 0.5), legend.position=\"top\") + \n", + " facet_grid(~P, labeller = label_both) + ylim(0, 72) + \n", + " scale_fill_brewer(palette=\"Dark2\", name=\"Method\",\n", + " breaks=c(\"compLasso\", \"elnet\", \"lasso\", \"rf\"),\n", + " labels=c(\"Compositional Lasso\", \"Elastic Net\", \"Lasso\", \"Random Forest\"))\n", + "ggsave('../figures_sim/figure_toe_corr0.3_FP.pdf', height=5, width=5.5)" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": {}, + "outputs": [], + "source": [ + "fig_FN <- ggplot(toe_sub3, aes(fill=method, y=FN_mean, x=N)) + \n", + " geom_bar(position=\"dodge\", stat=\"identity\") + \n", + " ggtitle(\"Toeplitz Correlation 0.3\") + xlab(\"Number of Samples\") + ylab(\"#False Negatives\") + \n", + " theme(plot.title = element_text(hjust = 0.5), legend.position=\"top\") + \n", + " facet_grid(~P, labeller = label_both) +\n", + " scale_fill_brewer(palette=\"Dark2\", name=\"Method\",\n", + " breaks=c(\"compLasso\", \"elnet\", \"lasso\", \"rf\"),\n", + " labels=c(\"Compositional Lasso\", \"Elastic Net\", \"Lasso\", \"Random Forest\"))\n", + "ggsave('../figures_sim/figure_toe_corr0.3_FN.pdf', height=5, width=5.5)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Correlation 0.5" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": {}, + "outputs": [], + "source": [ + "toe_sub5 = toe[toe$Corr %in% 0.5, ]\n", + "\n", + "fig_num_select <- ggplot(toe_sub5, aes(fill=method, y=num_select, x=N)) + \n", + " geom_bar(position=\"dodge\", stat=\"identity\") + \n", + " ggtitle(\"Toeplitz Correlation 0.5\") + xlab(\"Number of Samples\") + ylab(\"Number of Selected Features\") + \n", + " theme(plot.title = element_text(hjust = 0.5), legend.position=\"top\") + \n", + " facet_grid(~P, labeller = label_both) + ylim(0, 65) + \n", + " scale_fill_brewer(palette=\"Dark2\", name=\"Method\",\n", + " breaks=c(\"compLasso\", \"elnet\", \"lasso\", \"rf\"),\n", + " labels=c(\"Compositional Lasso\", \"Elastic Net\", \"Lasso\", \"Random Forest\"))\n", + "ggsave('../figures_sim/figure_toe_corr0.5_num_select.pdf', height=5, width=5.5)\n", + "\n", + "fig_stab <- ggplot(toe_sub5, aes(fill=method, y=Stab, x=N)) + \n", + " geom_bar(position=\"dodge\", stat=\"identity\") + \n", + " ggtitle(\"Toeplitz Correlation 0.5\") + xlab(\"Number of Samples\") + ylab(\"Stability\") + \n", + " theme(plot.title = element_text(hjust = 0.5), legend.position=\"top\") + \n", + " facet_grid(~P, labeller = label_both) +\n", + " scale_fill_brewer(palette=\"Dark2\", name=\"Method\",\n", + " breaks=c(\"compLasso\", \"elnet\", \"lasso\", \"rf\"),\n", + " labels=c(\"Compositional Lasso\", \"Elastic Net\", \"Lasso\", \"Random Forest\"))\n", + "ggsave('../figures_sim/figure_toe_corr0.5_Stab.pdf', height=5, width=5.5)\n", + "\n", + "fig_mse <- ggplot(toe_sub5, aes(fill=method, y=MSE_mean, x=N)) + \n", + " geom_bar(position=\"dodge\", stat=\"identity\") + \n", + " ggtitle(\"Toeplitz Correlation 0.5\") + xlab(\"Number of Samples\") + ylab(\"MSE\") + \n", + " theme(plot.title = element_text(hjust = 0.5), legend.position=\"top\") + \n", + " facet_grid(~P, labeller = label_both) + ylim(0, 3)+\n", + " scale_fill_brewer(palette=\"Dark2\", name=\"Method\",\n", + " breaks=c(\"compLasso\", \"elnet\", \"lasso\", \"rf\"),\n", + " labels=c(\"Compositional Lasso\", \"Elastic Net\", \"Lasso\", \"Random Forest\"))\n", + "ggsave('../figures_sim/figure_toe_corr0.5_MSE.pdf', height=5, width=5.5)\n", + "\n", + "fig_FP <- ggplot(toe_sub5, aes(fill=method, y=FP_mean, x=N)) + \n", + " geom_bar(position=\"dodge\", stat=\"identity\") + \n", + " ggtitle(\"Toeplitz Correlation 0.5\") + xlab(\"Number of Samples\") + ylab(\"#False Positives\") + \n", + " theme(plot.title = element_text(hjust = 0.5), legend.position=\"top\") + \n", + " facet_grid(~P, labeller = label_both) + ylim(0, 72) + \n", + " scale_fill_brewer(palette=\"Dark2\", name=\"Method\",\n", + " breaks=c(\"compLasso\", \"elnet\", \"lasso\", \"rf\"),\n", + " labels=c(\"Compositional Lasso\", \"Elastic Net\", \"Lasso\", \"Random Forest\"))\n", + "ggsave('../figures_sim/figure_toe_corr0.5_FP.pdf', height=5, width=5.5)\n", + "\n", + "fig_FN <- ggplot(toe_sub5, aes(fill=method, y=FN_mean, x=N)) + \n", + " geom_bar(position=\"dodge\", stat=\"identity\") + \n", + " ggtitle(\"Toeplitz Correlation 0.5\") + xlab(\"Number of Samples\") + ylab(\"#False Negatives\") + \n", + " theme(plot.title = element_text(hjust = 0.5), legend.position=\"top\") + \n", + " facet_grid(~P, labeller = label_both) +\n", + " scale_fill_brewer(palette=\"Dark2\", name=\"Method\",\n", + " breaks=c(\"compLasso\", \"elnet\", \"lasso\", \"rf\"),\n", + " labels=c(\"Compositional Lasso\", \"Elastic Net\", \"Lasso\", \"Random Forest\"))\n", + "ggsave('../figures_sim/figure_toe_corr0.5_FN.pdf', height=5, width=5.5)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Correlation 0.7" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": {}, + "outputs": [], + "source": [ + "toe_sub7 = toe[toe$Corr %in% 0.7, ]\n", + "\n", + "fig_num_select <- ggplot(toe_sub7, aes(fill=method, y=num_select, x=N)) + \n", + " geom_bar(position=\"dodge\", stat=\"identity\") + \n", + " ggtitle(\"Toeplitz Correlation 0.7\") + xlab(\"Number of Samples\") + ylab(\"Number of Selected Features\") + \n", + " theme(plot.title = element_text(hjust = 0.5), legend.position=\"top\") + \n", + " facet_grid(~P, labeller = label_both) + ylim(0, 65) + \n", + " scale_fill_brewer(palette=\"Dark2\", name=\"Method\",\n", + " breaks=c(\"compLasso\", \"elnet\", \"lasso\", \"rf\"),\n", + " labels=c(\"Compositional Lasso\", \"Elastic Net\", \"Lasso\", \"Random Forest\"))\n", + "ggsave('../figures_sim/figure_toe_corr0.7_num_select.pdf', height=5, width=5.5)\n", + "\n", + "fig_stab <- ggplot(toe_sub7, aes(fill=method, y=Stab, x=N)) + \n", + " geom_bar(position=\"dodge\", stat=\"identity\") + \n", + " ggtitle(\"Toeplitz Correlation 0.7\") + xlab(\"Number of Samples\") + ylab(\"Stability\") + \n", + " theme(plot.title = element_text(hjust = 0.5), legend.position=\"top\") + \n", + " facet_grid(~P, labeller = label_both) + ylim(0,1) + \n", + " scale_fill_brewer(palette=\"Dark2\", name=\"Method\",\n", + " breaks=c(\"compLasso\", \"elnet\", \"lasso\", \"rf\"),\n", + " labels=c(\"Compositional Lasso\", \"Elastic Net\", \"Lasso\", \"Random Forest\"))\n", + "ggsave('../figures_sim/figure_toe_corr0.7_Stab.pdf', height=5, width=5.5)\n", + "\n", + "fig_mse <- ggplot(toe_sub7, aes(fill=method, y=MSE_mean, x=N)) + \n", + " geom_bar(position=\"dodge\", stat=\"identity\") + \n", + " ggtitle(\"Toeplitz Correlation 0.7\") + xlab(\"Number of Samples\") + ylab(\"MSE\") + \n", + " theme(plot.title = element_text(hjust = 0.5), legend.position=\"top\") + \n", + " facet_grid(~P, labeller = label_both) + ylim(0, 3)+\n", + " scale_fill_brewer(palette=\"Dark2\", name=\"Method\",\n", + " breaks=c(\"compLasso\", \"elnet\", \"lasso\", \"rf\"),\n", + " labels=c(\"Compositional Lasso\", \"Elastic Net\", \"Lasso\", \"Random Forest\"))\n", + "ggsave('../figures_sim/figure_toe_corr0.7_MSE.pdf', height=5, width=5.5)\n", + "\n", + "fig_FP <- ggplot(toe_sub7, aes(fill=method, y=FP_mean, x=N)) + \n", + " geom_bar(position=\"dodge\", stat=\"identity\") + \n", + " ggtitle(\"Toeplitz Correlation 0.7\") + xlab(\"Number of Samples\") + ylab(\"#False Positives\") + \n", + " theme(plot.title = element_text(hjust = 0.5), legend.position=\"top\") + \n", + " facet_grid(~P, labeller = label_both) + ylim(0, 72) + \n", + " scale_fill_brewer(palette=\"Dark2\", name=\"Method\",\n", + " breaks=c(\"compLasso\", \"elnet\", \"lasso\", \"rf\"),\n", + " labels=c(\"Compositional Lasso\", \"Elastic Net\", \"Lasso\", \"Random Forest\"))\n", + "ggsave('../figures_sim/figure_toe_corr0.7_FP.pdf', height=5, width=5.5)\n", + "\n", + "fig_FN <- ggplot(toe_sub7, aes(fill=method, y=FN_mean, x=N)) + \n", + " geom_bar(position=\"dodge\", stat=\"identity\") + \n", + " ggtitle(\"Toeplitz Correlation 0.7\") + xlab(\"Number of Samples\") + ylab(\"#False Negatives\") + \n", + " theme(plot.title = element_text(hjust = 0.5), legend.position=\"top\") + \n", + " facet_grid(~P, labeller = label_both) +\n", + " scale_fill_brewer(palette=\"Dark2\", name=\"Method\",\n", + " breaks=c(\"compLasso\", \"elnet\", \"lasso\", \"rf\"),\n", + " labels=c(\"Compositional Lasso\", \"Elastic Net\", \"Lasso\", \"Random Forest\"))\n", + "ggsave('../figures_sim/figure_toe_corr0.7_FN.pdf', height=5, width=5.5)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Correlation 0.9" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "metadata": {}, + "outputs": [], + "source": [ + "toe_sub9 = toe[toe$Corr %in% 0.9, ]\n", + "\n", + "fig_num_select <- ggplot(toe_sub9, aes(fill=method, y=num_select, x=N)) + \n", + " geom_bar(position=\"dodge\", stat=\"identity\") + \n", + " ggtitle(\"Toeplitz Correlation 0.9\") + xlab(\"Number of Samples\") + ylab(\"Number of Selected Features\") + \n", + " theme(plot.title = element_text(hjust = 0.5), legend.position=\"top\") + \n", + " facet_grid(~P, labeller = label_both) + ylim(0, 65) + \n", + " scale_fill_brewer(palette=\"Dark2\", name=\"Method\",\n", + " breaks=c(\"compLasso\", \"elnet\", \"lasso\", \"rf\"),\n", + " labels=c(\"Compositional Lasso\", \"Elastic Net\", \"Lasso\", \"Random Forest\"))\n", + "ggsave('../figures_sim/figure_toe_corr0.9_num_select.pdf', height=5, width=5.5)\n", + "\n", + "fig_stab <- ggplot(toe_sub9, aes(fill=method, y=Stab, x=N)) + \n", + " geom_bar(position=\"dodge\", stat=\"identity\") + \n", + " ggtitle(\"Toeplitz Correlation 0.9\") + xlab(\"Number of Samples\") + ylab(\"Stability\") + \n", + " theme(plot.title = element_text(hjust = 0.5), legend.position=\"top\") + \n", + " facet_grid(~P, labeller = label_both) + ylim(0,1) + \n", + " scale_fill_brewer(palette=\"Dark2\", name=\"Method\",\n", + " breaks=c(\"compLasso\", \"elnet\", \"lasso\", \"rf\"),\n", + " labels=c(\"Compositional Lasso\", \"Elastic Net\", \"Lasso\", \"Random Forest\"))\n", + "ggsave('../figures_sim/figure_toe_corr0.9_Stab.pdf', height=5, width=5.5)\n", + "\n", + "fig_mse <- ggplot(toe_sub9, aes(fill=method, y=MSE_mean, x=N)) + \n", + " geom_bar(position=\"dodge\", stat=\"identity\") + \n", + " ggtitle(\"Toeplitz Correlation 0.9\") + xlab(\"Number of Samples\") + ylab(\"MSE\") + \n", + " theme(plot.title = element_text(hjust = 0.5), legend.position=\"top\") + \n", + " facet_grid(~P, labeller = label_both) + ylim(0, 3) +\n", + " scale_fill_brewer(palette=\"Dark2\", name=\"Method\",\n", + " breaks=c(\"compLasso\", \"elnet\", \"lasso\", \"rf\"),\n", + " labels=c(\"Compositional Lasso\", \"Elastic Net\", \"Lasso\", \"Random Forest\"))\n", + "ggsave('../figures_sim/figure_toe_corr0.9_MSE.pdf', height=5, width=5.5)\n", + "\n", + "fig_FP <- ggplot(toe_sub9, aes(fill=method, y=FP_mean, x=N)) + \n", + " geom_bar(position=\"dodge\", stat=\"identity\") + \n", + " ggtitle(\"Toeplitz Correlation 0.9\") + xlab(\"Number of Samples\") + ylab(\"#False Positives\") + \n", + " theme(plot.title = element_text(hjust = 0.5), legend.position=\"top\") + \n", + " facet_grid(~P, labeller = label_both) + ylim(0, 72) + \n", + " scale_fill_brewer(palette=\"Dark2\", name=\"Method\",\n", + " breaks=c(\"compLasso\", \"elnet\", \"lasso\", \"rf\"),\n", + " labels=c(\"Compositional Lasso\", \"Elastic Net\", \"Lasso\", \"Random Forest\"))\n", + "ggsave('../figures_sim/figure_toe_corr0.9_FP.pdf', height=5, width=5.5)\n", + "\n", + "fig_FN <- ggplot(toe_sub9, aes(fill=method, y=FN_mean, x=N)) + \n", + " geom_bar(position=\"dodge\", stat=\"identity\") + \n", + " ggtitle(\"Toeplitz Correlation 0.9\") + xlab(\"Number of Samples\") + ylab(\"#False Negatives\") + \n", + " theme(plot.title = element_text(hjust = 0.5), legend.position=\"top\") + \n", + " facet_grid(~P, labeller = label_both) +\n", + " scale_fill_brewer(palette=\"Dark2\", name=\"Method\",\n", + " breaks=c(\"compLasso\", \"elnet\", \"lasso\", \"rf\"),\n", + " labels=c(\"Compositional Lasso\", \"Elastic Net\", \"Lasso\", \"Random Forest\"))\n", + "ggsave('../figures_sim/figure_toe_corr0.9_FN.pdf', height=5, width=5.5)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### all together" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "iVBORw0KGgoAAAANSUhEUgAAA0gAAANICAYAAAD958/bAAAEGWlDQ1BrQ0dDb2xvclNwYWNl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", + "text/plain": [ + "plot without title" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "library(ggplot2)\n", + "library(ggpubr)\n", + "toe$N = as.factor(toe$N)\n", + "fig_toe_stab = ggplot(toe, aes(x=P, y=Stab, color=N)) + geom_point(aes(shape=method)) +ylab('Stability')\n", + "fig_toe_mse = ggplot(toe, aes(x=P, y=MSE_mean, color=N)) + geom_point(aes(shape=method)) + ylab('MSE')\n", + "fig_toe_fp = ggplot(toe, aes(x=P, y=FP_mean, color=N)) + geom_point(aes(shape=method)) + ylab('False Positives')\n", + "fig_toe_fn = ggplot(toe, aes(x=P, y=FN_mean, color=N)) + geom_point(aes(shape=method)) + ylab('False Negatives')\n", + "fig = ggarrange(fig_toe_stab, fig_toe_mse, fig_toe_fp, fig_toe_fn, ncol=2, nrow=2, \n", + " common.legend = TRUE, legend=\"bottom\") \n", + "fig = annotate_figure(fig, top = text_grob(\"Toeplitz\"))\n", + "fig" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "file saved to ../figures_sim/figure_toe_summary.pdf\n" + ] + } + ], + "source": [ + "ggexport(fig, filename = \"../figures_sim/figure_toe_summary.pdf\", height=8, width=8)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### plot relationship between MSE, Stab, FP, FN" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", + "\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\n", + "
    NPCorrRatioStabMSEFPFNnum_selectMSE_meanFP_meanFN_meanmethod
    50 50 0.1 1.00 0.36 0.62 ( 0.04 )8.59 ( 0.46 )0.02 ( 0.01 )13.57 0.62 8.59 0.02 lasso
    100 50 0.1 0.50 0.47 0.37 ( 0.01 )6.3 ( 0.43 ) 0 ( 0 ) 11.30 0.37 6.30 0.00 lasso
    500 50 0.1 0.10 0.73 0.28 ( 0 ) 2.88 ( 0.21 )0 ( 0 ) 7.88 0.28 2.88 0.00 lasso
    1000 50 0.1 0.05 0.89 0.27 ( 0 ) 1.66 ( 0.11 )0 ( 0 ) 6.66 0.27 1.66 0.00 lasso
    50 100 0.1 2.00 0.32 0.67 ( 0.05 )11.84 ( 0.4 )0 ( 0 ) 16.84 0.67 11.80 0.00 lasso
    100 100 0.1 1.00 0.44 0.4 ( 0.01 ) 7.71 ( 0.56 )0 ( 0 ) 12.71 0.40 7.71 0.00 lasso
    \n" + ], + "text/latex": [ + "\\begin{tabular}{r|lllllllllllll}\n", + " N & P & Corr & Ratio & Stab & MSE & FP & FN & num\\_select & MSE\\_mean & FP\\_mean & FN\\_mean & method\\\\\n", + "\\hline\n", + "\t 50 & 50 & 0.1 & 1.00 & 0.36 & 0.62 ( 0.04 ) & 8.59 ( 0.46 ) & 0.02 ( 0.01 ) & 13.57 & 0.62 & 8.59 & 0.02 & lasso \\\\\n", + "\t 100 & 50 & 0.1 & 0.50 & 0.47 & 0.37 ( 0.01 ) & 6.3 ( 0.43 ) & 0 ( 0 ) & 11.30 & 0.37 & 6.30 & 0.00 & lasso \\\\\n", + "\t 500 & 50 & 0.1 & 0.10 & 0.73 & 0.28 ( 0 ) & 2.88 ( 0.21 ) & 0 ( 0 ) & 7.88 & 0.28 & 2.88 & 0.00 & lasso \\\\\n", + "\t 1000 & 50 & 0.1 & 0.05 & 0.89 & 0.27 ( 0 ) & 1.66 ( 0.11 ) & 0 ( 0 ) & 6.66 & 0.27 & 1.66 & 0.00 & lasso \\\\\n", + "\t 50 & 100 & 0.1 & 2.00 & 0.32 & 0.67 ( 0.05 ) & 11.84 ( 0.4 ) & 0 ( 0 ) & 16.84 & 0.67 & 11.80 & 0.00 & lasso \\\\\n", + "\t 100 & 100 & 0.1 & 1.00 & 0.44 & 0.4 ( 0.01 ) & 7.71 ( 0.56 ) & 0 ( 0 ) & 12.71 & 0.40 & 7.71 & 0.00 & lasso \\\\\n", + "\\end{tabular}\n" + ], + "text/markdown": [ + "\n", + "| N | P | Corr | Ratio | Stab | MSE | FP | FN | num_select | MSE_mean | FP_mean | FN_mean | method |\n", + "|---|---|---|---|---|---|---|---|---|---|---|---|---|\n", + "| 50 | 50 | 0.1 | 1.00 | 0.36 | 0.62 ( 0.04 ) | 8.59 ( 0.46 ) | 0.02 ( 0.01 ) | 13.57 | 0.62 | 8.59 | 0.02 | lasso |\n", + "| 100 | 50 | 0.1 | 0.50 | 0.47 | 0.37 ( 0.01 ) | 6.3 ( 0.43 ) | 0 ( 0 ) | 11.30 | 0.37 | 6.30 | 0.00 | lasso |\n", + "| 500 | 50 | 0.1 | 0.10 | 0.73 | 0.28 ( 0 ) | 2.88 ( 0.21 ) | 0 ( 0 ) | 7.88 | 0.28 | 2.88 | 0.00 | lasso |\n", + "| 1000 | 50 | 0.1 | 0.05 | 0.89 | 0.27 ( 0 ) | 1.66 ( 0.11 ) | 0 ( 0 ) | 6.66 | 0.27 | 1.66 | 0.00 | lasso |\n", + "| 50 | 100 | 0.1 | 2.00 | 0.32 | 0.67 ( 0.05 ) | 11.84 ( 0.4 ) | 0 ( 0 ) | 16.84 | 0.67 | 11.80 | 0.00 | lasso |\n", + "| 100 | 100 | 0.1 | 1.00 | 0.44 | 0.4 ( 0.01 ) | 7.71 ( 0.56 ) | 0 ( 0 ) | 12.71 | 0.40 | 7.71 | 0.00 | lasso |\n", + "\n" + ], + "text/plain": [ + " N P Corr Ratio Stab MSE FP FN num_select\n", + "1 50 50 0.1 1.00 0.36 0.62 ( 0.04 ) 8.59 ( 0.46 ) 0.02 ( 0.01 ) 13.57 \n", + "2 100 50 0.1 0.50 0.47 0.37 ( 0.01 ) 6.3 ( 0.43 ) 0 ( 0 ) 11.30 \n", + "3 500 50 0.1 0.10 0.73 0.28 ( 0 ) 2.88 ( 0.21 ) 0 ( 0 ) 7.88 \n", + "4 1000 50 0.1 0.05 0.89 0.27 ( 0 ) 1.66 ( 0.11 ) 0 ( 0 ) 6.66 \n", + "5 50 100 0.1 2.00 0.32 0.67 ( 0.05 ) 11.84 ( 0.4 ) 0 ( 0 ) 16.84 \n", + "6 100 100 0.1 1.00 0.44 0.4 ( 0.01 ) 7.71 ( 0.56 ) 0 ( 0 ) 12.71 \n", + " MSE_mean FP_mean FN_mean method\n", + "1 0.62 8.59 0.02 lasso \n", + "2 0.37 6.30 0.00 lasso \n", + "3 0.28 2.88 0.00 lasso \n", + "4 0.27 1.66 0.00 lasso \n", + "5 0.67 11.80 0.00 lasso \n", + "6 0.40 7.71 0.00 lasso " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "dat = read.csv('../results_summary/table_toe_all.txt', sep='\\t')\n", + "head(dat)" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [], + "source": [ + "library(ggplot2)\n", + "library(gridExtra)\n", + "library(ggpubr)" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "iVBORw0KGgoAAAANSUhEUgAAA0gAAANICAYAAAD958/bAAAEGWlDQ1BrQ0dDb2xvclNwYWNl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\nYxQEBAFBQBAQBAQBQUAQEAQEAacQ+H8SbTlVoL4TGAAAAABJRU5ErkJggg==", + "text/plain": [ + "plot without title" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig_mse_fp <- ggplot(dat, aes(x=FP_mean, y=MSE_mean, color=Ratio, shape=method)) + geom_point() + \n", + "theme(legend.position=\"top\") + scale_color_gradientn(colors = c(\"#00AFBB\", \"#E7B800\", \"#FC4E07\"))\n", + "fig_stab_fp <- ggplot(dat, aes(x=FP_mean, y=Stab, color=Ratio, shape=method)) + geom_point() + \n", + "theme(legend.position=\"top\") + scale_color_gradientn(colors = c(\"#00AFBB\", \"#E7B800\", \"#FC4E07\"))\n", + "fig_mse_fn <- ggplot(dat, aes(x=FN_mean, y=MSE_mean, color=Ratio, shape=method)) + geom_point() + \n", + "theme(legend.position=\"none\") + scale_color_gradientn(colors = c(\"#00AFBB\", \"#E7B800\", \"#FC4E07\"))\n", + "fig_stab_fn <- ggplot(dat, aes(x=FN_mean, y=Stab, color=Ratio, shape=method)) + geom_point() + \n", + "theme(legend.position=\"none\") + scale_color_gradientn(colors = c(\"#00AFBB\", \"#E7B800\", \"#FC4E07\"))\n", + "grid.arrange(fig_mse_fp, fig_stab_fp, fig_mse_fn, fig_stab_fn, ncol=2)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "iVBORw0KGgoAAAANSUhEUgAAA0gAAANICAYAAAD958/bAAAEGWlDQ1BrQ0dDb2xvclNwYWNl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\ngg==", + "text/plain": [ + "plot without title" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "dat$Ratio = as.factor(dat$Ratio)\n", + "ggplot(dat, aes(x=Stab, y=MSE_mean, color=method, size=Ratio)) + geom_point() +\n", + " scale_size_manual(values=c(0.1, 0.5, 1, 1.5, 2.5, 3, 4.5, 5, 5.5)) + \n", + " facet_grid(N ~ P, labeller = label_both) +\n", + "theme(axis.text.x = element_text(angle = 90))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "R", + "language": "R", + "name": "ir" + }, + "language_info": { + "codemirror_mode": "r", + "file_extension": ".r", + "mimetype": "text/x-r-source", + "name": "R", + "pygments_lexer": "r", + "version": "3.6.1" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/simulations/results_summary/.DS_Store b/simulations/results_summary/.DS_Store new file mode 100644 index 0000000000000000000000000000000000000000..b271dc660d3e846c694bbf2ef3d5004ee182bb7e GIT binary patch literal 6148 zcmeHK%}N6?5T3L>6a{T5QjdG|BzP8KDfJ+D^8s|Xtx()ru@yY-#dq)(d>S9d2heXO z*>?Z8ClQ%}o+*A(EjJERrOX@NDHUcVEp_G^o+O$T1ug#!#sQox}G%^;Ne@tPu&b-Ib8|NHcAfNSGRwkl3haXi!4p zBF(T>A{j%a5{6?U?K?mW2eMLFh4hLE5aUrrWFfvyH>GDk!;(Z-9Rp&!h9Q|p9Rp^P zVZfQq*4?+LxhkLvr~(@Wcz^Ja7=4GaMcF!#$rS+DLA4ml{8PX_o7wiYJGXRU{Hhs4JHVvFK}%pJ#4;G_5$Nepcs7l6LQ*dl6R O`XeARXr>DMsscYjxDZ|d literal 0 HcmV?d00001 diff --git a/simulations/results_summary/sim_block_compLasso.txt b/simulations/results_summary/sim_block_compLasso.txt new file mode 100644 index 0000000..72e2f9b --- /dev/null +++ b/simulations/results_summary/sim_block_compLasso.txt @@ -0,0 +1,81 @@ +"N" "P" "Corr" "Ratio" "Stab" "MSE" "FP" "FN" "num_select" "FDR" "MSE_mean" "FP_mean" "FN_mean" +50 50 "0.1" 1 0.03 "0.36 ( 0.01 )" "2.8 ( 0.36 )" "5.01 ( 0.09 )" 3.79 "0.62" 0.36 2.8 5.01 +100 50 "0.1" 0.5 0.1 "0.32 ( 0.01 )" "4.96 ( 0.55 )" "3.77 ( 0.14 )" 7.19 "0.55" 0.32 4.96 3.77 +500 50 "0.1" 0.1 0.26 "0.28 ( 0 )" "8.81 ( 0.4 )" "0.78 ( 0.08 )" 14.03 "0.6" 0.28 8.81 0.78 +1000 50 "0.1" 0.05 0.31 "0.27 ( 0 )" "8.37 ( 0.37 )" "0.24 ( 0.06 )" 14.13 "0.56" 0.27 8.37 0.24 +50 100 "0.1" 2 0.04 "0.37 ( 0.02 )" "2.54 ( 0.37 )" "5.22 ( 0.08 )" 3.32 "0.63" 0.37 2.54 5.22 +100 100 "0.1" 1 0.07 "0.35 ( 0.01 )" "3.99 ( 0.57 )" "4.63 ( 0.1 )" 5.36 "0.56" 0.35 3.99 4.63 +500 100 "0.1" 0.2 0.18 "0.29 ( 0 )" "13.62 ( 0.62 )" "1.22 ( 0.11 )" 18.4 "0.69" 0.29 13.6 1.22 +1000 100 "0.1" 0.1 0.23 "0.28 ( 0 )" "13.35 ( 0.59 )" "0.47 ( 0.07 )" 18.88 "0.67" 0.28 13.3 0.47 +50 500 "0.1" 10 0.01 "0.36 ( 0.02 )" "3.53 ( 0.44 )" "5.62 ( 0.07 )" 3.91 "0.85" 0.36 3.53 5.62 +100 500 "0.1" 5 0.05 "0.36 ( 0.01 )" "2.58 ( 0.45 )" "5.29 ( 0.08 )" 3.29 "0.64" 0.36 2.58 5.29 +500 500 "0.1" 1 0.36 "0.32 ( 0.01 )" "2.42 ( 0.56 )" "3.74 ( 0.08 )" 4.68 "0.29" 0.32 2.42 3.74 +1000 500 "0.1" 0.5 0.14 "0.3 ( 0 )" "19.4 ( 1.74 )" "2.05 ( 0.12 )" 23.35 "0.66" 0.3 19.4 2.05 +50 1000 "0.1" 20 0 "0.37 ( 0.02 )" "4.53 ( 0.54 )" "5.71 ( 0.06 )" 4.82 "0.91" 0.37 4.53 5.71 +100 1000 "0.1" 10 0.02 "0.36 ( 0.01 )" "4.14 ( 0.72 )" "5.4 ( 0.08 )" 4.74 "0.78" 0.36 4.14 5.4 +500 1000 "0.1" 2 0.52 "0.34 ( 0 )" "0.93 ( 0.19 )" "3.83 ( 0.06 )" 3.1 "0.21" 0.34 0.93 3.83 +1000 1000 "0.1" 1 0.21 "0.31 ( 0 )" "8.59 ( 1.37 )" "2.96 ( 0.1 )" 11.63 "0.36" 0.31 8.59 2.96 +50 50 "0.3" 1 0.32 "0.8 ( 0.05 )" "5.34 ( 0.32 )" "1.21 ( 0.12 )" 10.13 "0.48" 0.8 5.34 1.21 +100 50 "0.3" 0.5 0.5 "0.52 ( 0.02 )" "4.42 ( 0.52 )" "0.1 ( 0.03 )" 10.32 "0.33" 0.52 4.42 0.1 +500 50 "0.3" 0.1 0.91 "0.55 ( 0.02 )" "0.53 ( 0.16 )" "0 ( 0 )" 6.53 "0.05" 0.55 0.53 0 +1000 50 "0.3" 0.05 0.89 "0.56 ( 0.02 )" "0.66 ( 0.18 )" "0 ( 0 )" 6.66 "0.06" 0.56 0.66 0 +50 100 "0.3" 2 0.27 "0.94 ( 0.05 )" "6 ( 0.34 )" "1.93 ( 0.14 )" 10.07 "0.54" 0.94 6 1.93 +100 100 "0.3" 1 0.47 "0.53 ( 0.02 )" "5.24 ( 0.45 )" "0.24 ( 0.06 )" 11 "0.4" 0.53 5.24 0.24 +500 100 "0.3" 0.2 0.91 "0.54 ( 0.02 )" "0.54 ( 0.15 )" "0 ( 0 )" 6.54 "0.06" 0.54 0.54 0 +1000 100 "0.3" 0.1 0.92 "0.55 ( 0.02 )" "0.51 ( 0.15 )" "0 ( 0 )" 6.51 "0.05" 0.55 0.51 0 +50 500 "0.3" 10 0.13 "1.31 ( 0.06 )" "5.44 ( 0.44 )" "3.96 ( 0.15 )" 7.48 "0.69" 1.31 5.44 3.96 +100 500 "0.3" 5 0.3 "0.73 ( 0.03 )" "9 ( 0.76 )" "0.99 ( 0.12 )" 14.01 "0.52" 0.73 6 0.99 +500 500 "0.3" 1 0.95 "0.55 ( 0.01 )" "0.31 ( 0.08 )" "0 ( 0 )" 6.31 "0.04" 0.55 0.31 0 +1000 500 "0.3" 0.5 0.92 "0.57 ( 0.02 )" "0.49 ( 0.14 )" "0 ( 0 )" 6.49 "0.05" 0.57 0.49 0 +50 1000 "0.3" 20 0.07 "1.55 ( 0.08 )" "3.96 ( 0.47 )" "4.74 ( 0.14 )" 5.22 "0.68" 1.55 3.96 4.74 +100 1000 "0.3" 10 0.25 "0.84 ( 0.03 )" "9.51 ( 0.77 )" "1.58 ( 0.11 )" 13.93 "0.58" 0.84 9.51 1.58 +500 1000 "0.3" 2 0.92 "0.56 ( 0.01 )" "0.52 ( 0.14 )" "0 ( 0 )" 6.52 "0.05" 0.56 0.52 0 +1000 1000 "0.3" 1 0.95 "0.56 ( 0.02 )" "0.29 ( 0.08 )" "0 ( 0 )" 6.29 "0.03" 0.56 0.29 0 +50 50 "0.5" 1 0.42 "0.77 ( 0.04 )" "5.49 ( 0.31 )" "0.25 ( 0.06 )" 11.24 "0.44" 0.77 5.49 0.25 +100 50 "0.5" 0.5 0.68 "0.6 ( 0.03 )" "2.34 ( 0.31 )" "0.01 ( 0.01 )" 8.33 "0.21" 0.6 2.34 0.01 +500 50 "0.5" 0.1 0.93 "0.8 ( 0.03 )" "0.42 ( 0.12 )" "0 ( 0 )" 6.42 "0.05" 0.8 0.42 0 +1000 50 "0.5" 0.05 0.88 "0.78 ( 0.03 )" "0.7 ( 0.21 )" "0 ( 0 )" 6.7 "0.07" 0.78 0.7 0 +50 100 "0.5" 2 0.36 "1.03 ( 0.07 )" "5.95 ( 0.33 )" "0.96 ( 0.11 )" 10.99 "0.49" 1.03 5.95 0.96 +100 100 "0.5" 1 0.65 "0.64 ( 0.03 )" "2.9 ( 0.32 )" "0.03 ( 0.02 )" 8.87 "0.27" 0.64 2.9 0.03 +500 100 "0.5" 0.2 0.91 "0.76 ( 0.03 )" "0.56 ( 0.19 )" "0 ( 0 )" 6.56 "0.05" 0.76 0.56 0 +1000 100 "0.5" 0.1 0.93 "0.8 ( 0.03 )" "0.4 ( 0.09 )" "0 ( 0 )" 6.4 "0.05" 0.8 0.4 0 +50 500 "0.5" 10 0.22 "1.93 ( 0.1 )" "5.08 ( 0.41 )" "3.23 ( 0.15 )" 7.85 "0.55" 1.93 5.08 3.23 +100 500 "0.5" 5 0.45 "0.79 ( 0.03 )" "6.21 ( 0.54 )" "0.33 ( 0.07 )" 11.88 "0.43" 0.79 6.21 0.33 +500 500 "0.5" 1 0.94 "0.83 ( 0.03 )" "0.36 ( 0.11 )" "0 ( 0 )" 6.36 "0.04" 0.83 0.36 0 +1000 500 "0.5" 0.5 0.97 "0.87 ( 0.03 )" "0.19 ( 0.06 )" "0 ( 0 )" 6.19 "0.02" 0.87 0.19 0 +50 1000 "0.5" 20 0.15 "2.1 ( 0.11 )" "5.84 ( 0.49 )" "3.77 ( 0.14 )" 8.07 "0.66" 2.1 5.84 3.77 +100 1000 "0.5" 10 0.35 "0.91 ( 0.04 )" "8.88 ( 0.73 )" "0.52 ( 0.09 )" 14.36 "0.51" 0.91 8.88 0.52 +500 1000 "0.5" 2 0.98 "0.86 ( 0.02 )" "0.13 ( 0.05 )" "0 ( 0 )" 6.13 "0.02" 0.86 0.13 0 +1000 1000 "0.5" 1 0.95 "0.85 ( 0.02 )" "0.3 ( 0.11 )" "0 ( 0 )" 6.3 "0.03" 0.85 0.3 0 +50 50 "0.7" 1 0.49 "0.8 ( 0.06 )" "4.27 ( 0.31 )" "0.24 ( 0.06 )" 10.03 "0.37" 0.8 4.27 0.24 +100 50 "0.7" 0.5 0.75 "0.75 ( 0.03 )" "1.71 ( 0.28 )" "0 ( 0 )" 7.71 "0.16" 0.75 1.71 0 +500 50 "0.7" 0.1 0.9 "1 ( 0.04 )" "0.58 ( 0.19 )" "0 ( 0 )" 6.58 "0.06" 1 0.58 0 +1000 50 "0.7" 0.05 0.92 "0.98 ( 0.04 )" "0.43 ( 0.09 )" "0 ( 0 )" 6.43 "0.05" 0.98 0.43 0 +50 100 "0.7" 2 0.42 "1.14 ( 0.08 )" "5.46 ( 0.32 )" "0.55 ( 0.09 )" 10.91 "0.46" 1.14 5.46 0.55 +100 100 "0.7" 1 0.69 "0.82 ( 0.04 )" "2.46 ( 0.41 )" "0 ( 0 )" 8.46 "0.21" 0.82 2.46 0 +500 100 "0.7" 0.2 0.89 "1.01 ( 0.04 )" "0.68 ( 0.23 )" "0 ( 0 )" 6.68 "0.06" 1.01 0.68 0 +1000 100 "0.7" 0.1 0.94 "1.08 ( 0.04 )" "0.36 ( 0.09 )" "0 ( 0 )" 6.36 "0.04" 1.08 0.36 0 +50 500 "0.7" 10 0.26 "2.76 ( 0.17 )" "5.16 ( 0.4 )" "2.65 ( 0.15 )" 8.51 "0.51" 2.76 5.16 2.65 +100 500 "0.7" 5 0.52 "0.87 ( 0.03 )" "5.39 ( 0.52 )" "0.04 ( 0.02 )" 11.35 "0.39" 0.87 5.39 0.04 +500 500 "0.7" 1 0.94 "1.05 ( 0.04 )" "0.35 ( 0.1 )" "0 ( 0 )" 6.35 "0.04" 1.05 0.35 0 +1000 500 "0.7" 0.5 0.98 "1.14 ( 0.04 )" "0.14 ( 0.04 )" "0 ( 0 )" 6.14 "0.02" 1.14 0.14 0 +50 1000 "0.7" 20 0.2 "3.02 ( 0.16 )" "5.41 ( 0.43 )" "3.39 ( 0.13 )" 8.02 "0.58" 3.02 5.41 3.39 +100 1000 "0.7" 10 0.45 "0.91 ( 0.04 )" "6.6 ( 0.53 )" "0.2 ( 0.05 )" 12.4 "0.45" 0.91 6.6 0.2 +500 1000 "0.7" 2 0.95 "1.04 ( 0.04 )" "0.31 ( 0.1 )" "0 ( 0 )" 6.31 "0.04" 1.04 0.31 0 +1000 1000 "0.7" 1 0.97 "1.13 ( 0.04 )" "0.21 ( 0.07 )" "0 ( 0 )" 6.21 "0.03" 1.13 0.21 0 +50 50 "0.9" 1 0.48 "0.92 ( 0.07 )" "4.7 ( 0.32 )" "0.14 ( 0.04 )" 10.56 "0.38" 0.92 4.7 0.14 +100 50 "0.9" 0.5 0.76 "0.94 ( 0.05 )" "1.59 ( 0.25 )" "0 ( 0 )" 7.59 "0.15" 0.94 1.59 0 +500 50 "0.9" 0.1 0.92 "1.15 ( 0.06 )" "0.47 ( 0.11 )" "0 ( 0 )" 6.47 "0.05" 1.15 0.47 0 +1000 50 "0.9" 0.05 0.89 "1.28 ( 0.05 )" "0.62 ( 0.19 )" "0 ( 0 )" 6.62 "0.06" 1.28 0.62 0 +50 100 "0.9" 2 0.42 "1.28 ( 0.08 )" "5.86 ( 0.29 )" "0.47 ( 0.09 )" 11.39 "0.48" 1.28 5.86 0.47 +100 100 "0.9" 1 0.81 "0.94 ( 0.04 )" "1.34 ( 0.23 )" "0 ( 0 )" 7.34 "0.14" 0.94 1.34 0 +500 100 "0.9" 0.2 0.93 "1.16 ( 0.05 )" "0.43 ( 0.13 )" "0 ( 0 )" 6.43 "0.05" 1.16 0.43 0 +1000 100 "0.9" 0.1 0.94 "1.32 ( 0.05 )" "0.34 ( 0.1 )" "0 ( 0 )" 6.34 "0.04" 1.32 0.34 0 +50 500 "0.9" 10 0.25 "3.06 ( 0.18 )" "5.42 ( 0.4 )" "2.69 ( 0.15 )" 8.73 "0.54" 3.06 5.42 2.69 +100 500 "0.9" 5 0.58 "0.97 ( 0.04 )" "4.2 ( 0.49 )" "0.02 ( 0.02 )" 10.18 "0.31" 0.97 4.2 0.02 +500 500 "0.9" 1 0.93 "1.27 ( 0.05 )" "0.44 ( 0.18 )" "0 ( 0 )" 6.44 "0.04" 1.27 0.44 0 +1000 500 "0.9" 0.5 0.96 "1.31 ( 0.05 )" "0.23 ( 0.06 )" "0 ( 0 )" 6.23 "0.03" 1.31 0.23 0 +50 1000 "0.9" 20 0.23 "3.37 ( 0.19 )" "5.29 ( 0.41 )" "3.13 ( 0.15 )" 8.16 "0.57" 3.37 5.29 3.13 +100 1000 "0.9" 10 0.56 "1.14 ( 0.05 )" "4.56 ( 0.38 )" "0.07 ( 0.03 )" 10.49 "0.37" 1.14 4.56 0.07 +500 1000 "0.9" 2 0.96 "1.28 ( 0.04 )" "0.27 ( 0.11 )" "0 ( 0 )" 6.27 "0.03" 1.28 0.27 0 +1000 1000 "0.9" 1 0.95 "1.35 ( 0.05 )" "0.29 ( 0.09 )" "0 ( 0 )" 6.29 "0.03" 1.35 0.29 0 diff --git a/simulations/results_summary/sim_block_elnet.txt b/simulations/results_summary/sim_block_elnet.txt new file mode 100644 index 0000000..92b3236 --- /dev/null +++ b/simulations/results_summary/sim_block_elnet.txt @@ -0,0 +1,81 @@ +"N" "P" "Corr" "Ratio" "Stab" "MSE" "FP" "FN" "num_select" "FDR" "MSE_mean" "FP_mean" "FN_mean" +50 50 "0.1" 1 0.02 "0.38 ( 0.02 )" "10.9 ( 0.97 )" "3.91 ( 0.15 )" 11.99 "0.77" 0.38 10.9 3.91 +100 50 "0.1" 0.5 0.06 "0.34 ( 0.01 )" "13.39 ( 1.06 )" "2.45 ( 0.16 )" 15.94 "0.68" 0.34 13.3 2.45 +500 50 "0.1" 0.1 0.13 "0.27 ( 0 )" "19.21 ( 0.81 )" "0.14 ( 0.04 )" 24.07 "0.73" 0.27 19.2 0.14 +1000 50 "0.1" 0.05 0.15 "0.26 ( 0 )" "18.76 ( 0.63 )" "0.02 ( 0.01 )" 23.74 "0.73" 0.26 18.7 0.02 +50 100 "0.1" 2 0.03 "0.41 ( 0.02 )" "9.27 ( 0.76 )" "4.63 ( 0.09 )" 9.64 "0.82" 0.41 9.27 4.63 +100 100 "0.1" 1 0.07 "0.34 ( 0.01 )" "10.1 ( 1.04 )" "3.87 ( 0.13 )" 11.23 "0.7" 0.34 10.1 3.87 +500 100 "0.1" 0.2 0.13 "0.29 ( 0 )" "25.4 ( 0.81 )" "0.41 ( 0.06 )" 29.99 "0.8" 0.29 25.4 0.41 +1000 100 "0.1" 0.1 0.13 "0.27 ( 0 )" "28.36 ( 0.94 )" "0.06 ( 0.03 )" 33.3 "0.81" 0.27 28.3 0.06 +50 500 "0.1" 10 0.01 "0.41 ( 0.02 )" "30.9 ( 3.51 )" "4.65 ( 0.13 )" 31.25 "0.94" 0.41 30.9 4.65 +100 500 "0.1" 5 0.03 "0.36 ( 0.01 )" "20.83 ( 2.77 )" "4.43 ( 0.1 )" 21.4 "0.87" 0.36 20.8 4.43 +500 500 "0.1" 1 0.08 "0.32 ( 0 )" "29.71 ( 2.76 )" "2.55 ( 0.12 )" 32.16 "0.8" 0.32 29.7 2.55 +1000 500 "0.1" 0.5 0.07 "0.28 ( 0 )" "61.47 ( 1.31 )" "0.56 ( 0.07 )" 65.91 "0.91" 0.28 61.4 0.56 +50 1000 "0.1" 20 0 "0.41 ( 0.02 )" "38.1 ( 4.05 )" "5.01 ( 0.11 )" 38.09 "0.97" 0.41 38.1 5.01 +100 1000 "0.1" 10 0.02 "0.36 ( 0.01 )" "35.49 ( 4.37 )" "4.34 ( 0.14 )" 36.15 "0.93" 0.36 35.4 4.34 +500 1000 "0.1" 2 0.1 "0.3 ( 0 )" "20.28 ( 2.74 )" "3.25 ( 0.08 )" 22.03 "0.75" 0.3 20.2 3.25 +1000 1000 "0.1" 1 0.05 "0.29 ( 0 )" "71.65 ( 3.47 )" "1.5 ( 0.1 )" 75.15 "0.9" 0.29 71.6 1.5 +50 50 "0.3" 1 0.17 "0.56 ( 0.03 )" "15.98 ( 0.61 )" "0.26 ( 0.05 )" 20.72 "0.7" 0.56 15.9 0.26 +100 50 "0.3" 0.5 0.2 "0.34 ( 0.01 )" "15.16 ( 0.6 )" "0 ( 0 )" 20.16 "0.68" 0.34 15.1 0 +500 50 "0.3" 0.1 0.19 "0.27 ( 0 )" "15.78 ( 0.58 )" "0 ( 0 )" 20.78 "0.69" 0.27 15.7 0 +1000 50 "0.3" 0.05 0.22 "0.26 ( 0 )" "14.34 ( 0.49 )" "0 ( 0 )" 19.34 "0.67" 0.26 14.3 0 +50 100 "0.3" 2 0.13 "0.81 ( 0.05 )" "22.23 ( 1.04 )" "0.7 ( 0.08 )" 26.53 "0.78" 0.81 22.2 0.7 +100 100 "0.3" 1 0.16 "0.42 ( 0.02 )" "23.17 ( 0.94 )" "0.02 ( 0.01 )" 28.15 "0.77" 0.42 23.1 0.02 +500 100 "0.3" 0.2 0.18 "0.27 ( 0 )" "21.25 ( 0.84 )" "0 ( 0 )" 26.25 "0.74" 0.27 21.2 0 +1000 100 "0.3" 0.1 0.2 "0.26 ( 0 )" "19.57 ( 0.81 )" "0 ( 0 )" 24.57 "0.73" 0.26 19.5 0 +50 500 "0.3" 10 0.05 "1.29 ( 0.07 )" "43.56 ( 3.08 )" "2.15 ( 0.13 )" 46.41 "0.89" 1.29 43.5 2.15 +100 500 "0.3" 5 0.13 "0.54 ( 0.02 )" "35.33 ( 1.21 )" "0.19 ( 0.05 )" 40.14 "0.84" 0.54 35.3 0.19 +500 500 "0.3" 1 0.14 "0.28 ( 0 )" "35.68 ( 1.62 )" "0 ( 0 )" 40.68 "0.83" 0.28 35.6 0 +1000 500 "0.3" 0.5 0.14 "0.27 ( 0 )" "36.15 ( 1.61 )" "0 ( 0 )" 41.15 "0.83" 0.27 36.1 0 +50 1000 "0.3" 20 0.03 "1.3 ( 0.07 )" "61.12 ( 4.33 )" "2.56 ( 0.12 )" 63.56 "0.93" 1.3 61.1 2.56 +100 1000 "0.3" 10 0.1 "0.68 ( 0.03 )" "41.5 ( 1.64 )" "0.61 ( 0.08 )" 45.89 "0.87" 0.68 41.5 0.61 +500 1000 "0.3" 2 0.11 "0.29 ( 0 )" "46.27 ( 2.2 )" "0 ( 0 )" 51.27 "0.86" 0.29 46.2 0 +1000 1000 "0.3" 1 0.13 "0.27 ( 0 )" "39.23 ( 2 )" "0 ( 0 )" 44.23 "0.83" 0.27 39.2 0 +50 50 "0.5" 1 0.19 "0.65 ( 0.05 )" "15.43 ( 0.64 )" "0.1 ( 0.04 )" 20.33 "0.68" 0.65 15.4 0.1 +100 50 "0.5" 0.5 0.2 "0.34 ( 0.01 )" "14.94 ( 0.61 )" "0 ( 0 )" 19.94 "0.67" 0.34 14.9 0 +500 50 "0.5" 0.1 0.2 "0.27 ( 0 )" "15.76 ( 0.59 )" "0 ( 0 )" 20.76 "0.69" 0.27 15.7 0 +1000 50 "0.5" 0.05 0.25 "0.26 ( 0 )" "12.73 ( 0.5 )" "0 ( 0 )" 17.73 "0.63" 0.26 12.7 0 +50 100 "0.5" 2 0.16 "0.8 ( 0.05 )" "21.3 ( 0.83 )" "0.3 ( 0.06 )" 26 "0.76" 0.8 21.3 0.3 +100 100 "0.5" 1 0.18 "0.37 ( 0.01 )" "21.74 ( 0.84 )" "0 ( 0 )" 26.74 "0.75" 0.37 21.7 0 +500 100 "0.5" 0.2 0.19 "0.27 ( 0 )" "20.71 ( 0.8 )" "0 ( 0 )" 25.71 "0.74" 0.27 20.7 0 +1000 100 "0.5" 0.1 0.18 "0.26 ( 0 )" "20.53 ( 0.72 )" "0 ( 0 )" 25.53 "0.75" 0.26 20.5 0 +50 500 "0.5" 10 0.08 "1.61 ( 0.1 )" "36.33 ( 2.13 )" "1.58 ( 0.11 )" 39.75 "0.87" 1.61 36.3 1.58 +100 500 "0.5" 5 0.14 "0.53 ( 0.02 )" "34.91 ( 1.29 )" "0.02 ( 0.01 )" 39.89 "0.83" 0.53 34.9 0.02 +500 500 "0.5" 1 0.15 "0.28 ( 0 )" "32.67 ( 1.7 )" "0 ( 0 )" 37.67 "0.8" 0.28 32.6 0 +1000 500 "0.5" 0.5 0.14 "0.26 ( 0 )" "33.71 ( 1.97 )" "0 ( 0 )" 38.71 "0.8" 0.26 33.7 0 +50 1000 "0.5" 20 0.04 "2 ( 0.1 )" "52.83 ( 3.84 )" "2.29 ( 0.1 )" 55.54 "0.91" 2 52.8 2.29 +100 1000 "0.5" 10 0.11 "0.68 ( 0.03 )" "43.94 ( 1.56 )" "0.14 ( 0.03 )" 48.8 "0.87" 0.68 43.9 0.14 +500 1000 "0.5" 2 0.14 "0.28 ( 0 )" "37.63 ( 1.92 )" "0 ( 0 )" 42.63 "0.83" 0.28 37.6 0 +1000 1000 "0.5" 1 0.14 "0.27 ( 0 )" "35.42 ( 1.84 )" "0 ( 0 )" 40.42 "0.82" 0.27 35.4 0 +50 50 "0.7" 1 0.18 "0.63 ( 0.04 )" "16.71 ( 0.61 )" "0.04 ( 0.02 )" 21.67 "0.7" 0.63 16.7 0.04 +100 50 "0.7" 0.5 0.22 "0.33 ( 0.01 )" "14.2 ( 0.55 )" "0 ( 0 )" 19.2 "0.66" 0.33 14.2 0 +500 50 "0.7" 0.1 0.22 "0.26 ( 0 )" "13.96 ( 0.52 )" "0 ( 0 )" 18.96 "0.66" 0.26 13.9 0 +1000 50 "0.7" 0.05 0.25 "0.26 ( 0 )" "12.77 ( 0.52 )" "0 ( 0 )" 17.77 "0.63" 0.26 12.7 0 +50 100 "0.7" 2 0.18 "0.86 ( 0.07 )" "19.83 ( 0.86 )" "0.11 ( 0.03 )" 24.72 "0.74" 0.86 19.8 0.11 +100 100 "0.7" 1 0.17 "0.38 ( 0.01 )" "22.59 ( 1.11 )" "0 ( 0 )" 27.59 "0.75" 0.38 22.5 0 +500 100 "0.7" 0.2 0.21 "0.28 ( 0 )" "17.78 ( 0.8 )" "0 ( 0 )" 22.78 "0.7" 0.28 17.7 0 +1000 100 "0.7" 0.1 0.21 "0.26 ( 0 )" "18.55 ( 0.87 )" "0 ( 0 )" 23.55 "0.71" 0.26 18.5 0 +50 500 "0.7" 10 0.1 "2.19 ( 0.14 )" "33.13 ( 1.76 )" "1.25 ( 0.11 )" 36.88 "0.86" 2.19 33.1 1.25 +100 500 "0.7" 5 0.13 "0.51 ( 0.02 )" "37.39 ( 1.42 )" "0 ( 0 )" 42.39 "0.84" 0.51 37.3 0 +500 500 "0.7" 1 0.16 "0.28 ( 0 )" "30.18 ( 1.66 )" "0 ( 0 )" 35.18 "0.79" 0.28 30.1 0 +1000 500 "0.7" 0.5 0.15 "0.26 ( 0 )" "33.3 ( 1.59 )" "0 ( 0 )" 38.3 "0.81" 0.26 33.3 0 +50 1000 "0.7" 20 0.06 "2.43 ( 0.14 )" "41.11 ( 2.8 )" "1.98 ( 0.11 )" 44.13 "0.89" 2.43 41.1 1.98 +100 1000 "0.7" 10 0.12 "0.68 ( 0.03 )" "42.68 ( 1.53 )" "0.02 ( 0.01 )" 47.66 "0.86" 0.68 42.6 0.02 +500 1000 "0.7" 2 0.12 "0.29 ( 0 )" "42.75 ( 2.32 )" "0 ( 0 )" 47.75 "0.84" 0.29 42.7 0 +1000 1000 "0.7" 1 0.14 "0.27 ( 0 )" "36.88 ( 2.33 )" "0 ( 0 )" 41.88 "0.81" 0.27 36.8 0 +50 50 "0.9" 1 0.21 "0.56 ( 0.03 )" "14.5 ( 0.57 )" "0.03 ( 0.02 )" 19.47 "0.67" 0.56 14.5 0.03 +100 50 "0.9" 0.5 0.23 "0.33 ( 0.01 )" "13.9 ( 0.6 )" "0 ( 0 )" 18.9 "0.65" 0.33 13.9 0 +500 50 "0.9" 0.1 0.25 "0.26 ( 0 )" "12.75 ( 0.49 )" "0 ( 0 )" 17.75 "0.63" 0.26 12.7 0 +1000 50 "0.9" 0.05 0.25 "0.26 ( 0 )" "12.64 ( 0.49 )" "0 ( 0 )" 17.64 "0.63" 0.26 12.6 0 +50 100 "0.9" 2 0.18 "0.75 ( 0.04 )" "20.94 ( 0.7 )" "0.07 ( 0.03 )" 25.87 "0.75" 0.75 20.9 0.07 +100 100 "0.9" 1 0.18 "0.38 ( 0.01 )" "20.8 ( 0.95 )" "0 ( 0 )" 25.8 "0.73" 0.38 20.8 0 +500 100 "0.9" 0.2 0.2 "0.26 ( 0 )" "18.74 ( 0.84 )" "0 ( 0 )" 23.74 "0.72" 0.26 18.7 0 +1000 100 "0.9" 0.1 0.19 "0.26 ( 0 )" "19.91 ( 0.91 )" "0 ( 0 )" 24.91 "0.72" 0.26 19.9 0 +50 500 "0.9" 10 0.1 "2.21 ( 0.15 )" "35.26 ( 2.1 )" "0.98 ( 0.09 )" 39.28 "0.85" 2.21 35.2 0.98 +100 500 "0.9" 5 0.14 "0.5 ( 0.02 )" "35.7 ( 1.48 )" "0 ( 0 )" 40.7 "0.83" 0.5 35.7 0 +500 500 "0.9" 1 0.15 "0.28 ( 0 )" "32.6 ( 1.76 )" "0 ( 0 )" 37.6 "0.81" 0.28 32.6 0 +1000 500 "0.9" 0.5 0.16 "0.26 ( 0 )" "30.4 ( 1.66 )" "0 ( 0 )" 35.4 "0.79" 0.26 30.4 0 +50 1000 "0.9" 20 0.07 "3.06 ( 0.18 )" "43.09 ( 2.82 )" "1.57 ( 0.1 )" 46.52 "0.88" 3.06 43 1.57 +100 1000 "0.9" 10 0.12 "0.59 ( 0.03 )" "43.91 ( 1.31 )" "0 ( 0 )" 48.91 "0.87" 0.59 43.9 0 +500 1000 "0.9" 2 0.12 "0.29 ( 0 )" "41.57 ( 2.28 )" "0 ( 0 )" 46.57 "0.84" 0.29 41.5 0 +1000 1000 "0.9" 1 0.13 "0.27 ( 0 )" "38.76 ( 2.16 )" "0 ( 0 )" 43.76 "0.82" 0.27 38.7 0 diff --git a/simulations/results_summary/sim_block_lasso.txt b/simulations/results_summary/sim_block_lasso.txt new file mode 100644 index 0000000..0c68943 --- /dev/null +++ b/simulations/results_summary/sim_block_lasso.txt @@ -0,0 +1,81 @@ +"N" "P" "Corr" "Ratio" "Stab" "MSE" "FP" "FN" "num_select" "FDR" "MSE_mean" "FP_mean" "FN_mean" +50 50 "0.1" 1 0.05 "0.36 ( 0.01 )" "3.52 ( 0.22 )" "4.92 ( 0.08 )" 3.6 "0.65" 0.36 3.52 4.92 +100 50 "0.1" 0.5 0.18 "0.31 ( 0.01 )" "2.71 ( 0.25 )" "4.4 ( 0.1 )" 3.31 "0.42" 0.31 2.71 4.4 +500 50 "0.1" 0.1 0.35 "0.29 ( 0 )" "5.42 ( 0.25 )" "1.97 ( 0.11 )" 8.45 "0.48" 0.29 5.42 1.97 +1000 50 "0.1" 0.05 0.44 "0.28 ( 0 )" "4.91 ( 0.2 )" "1.57 ( 0.09 )" 8.34 "0.44" 0.28 4.91 1.57 +50 100 "0.1" 2 0.06 "0.37 ( 0.02 )" "4.73 ( 0.22 )" "4.79 ( 0.08 )" 4.94 "0.72" 0.37 4.73 4.79 +100 100 "0.1" 1 0.13 "0.34 ( 0.01 )" "3 ( 0.15 )" "4.75 ( 0.09 )" 3.25 "0.57" 0.34 3 4.75 +500 100 "0.1" 0.2 0.24 "0.3 ( 0 )" "8.56 ( 0.5 )" "2.13 ( 0.12 )" 11.43 "0.57" 0.3 8.56 2.13 +1000 100 "0.1" 0.1 0.33 "0.29 ( 0 )" "7.77 ( 0.33 )" "1.44 ( 0.08 )" 11.33 "0.56" 0.29 7.77 1.44 +50 500 "0.1" 10 0.01 "0.37 ( 0.02 )" "10.58 ( 0.31 )" "5.25 ( 0.07 )" 10.33 "0.92" 0.37 10.5 5.25 +100 500 "0.1" 5 0.05 "0.35 ( 0.01 )" "6.23 ( 0.26 )" "4.94 ( 0.08 )" 6.29 "0.82" 0.35 6.23 4.94 +500 500 "0.1" 1 0.33 "0.32 ( 0.01 )" "3.77 ( 0.75 )" "3.69 ( 0.08 )" 5.08 "0.27" 0.32 3.77 3.69 +1000 500 "0.1" 0.5 0.14 "0.29 ( 0 )" "20.61 ( 1.39 )" "2.11 ( 0.1 )" 23.5 "0.69" 0.29 20.6 2.11 +50 1000 "0.1" 20 0.01 "0.39 ( 0.02 )" "13.99 ( 0.32 )" "5.31 ( 0.07 )" 13.68 "0.95" 0.39 13.9 5.31 +100 1000 "0.1" 10 0.03 "0.35 ( 0.01 )" "9.56 ( 0.33 )" "5.01 ( 0.08 )" 9.55 "0.89" 0.35 9.56 5.01 +500 1000 "0.1" 2 0.48 "0.33 ( 0 )" "1.83 ( 0.19 )" "3.97 ( 0.07 )" 2.86 "0.2" 0.33 1.83 3.97 +1000 1000 "0.1" 1 0.17 "0.3 ( 0 )" "13.42 ( 1.74 )" "2.77 ( 0.09 )" 15.65 "0.47" 0.3 13.4 2.77 +50 50 "0.3" 1 0.27 "0.72 ( 0.04 )" "8.7 ( 0.42 )" "0.79 ( 0.09 )" 12.91 "0.56" 0.72 8.7 0.79 +100 50 "0.3" 0.5 0.39 "0.4 ( 0.01 )" "7.91 ( 0.47 )" "0.01 ( 0.01 )" 12.9 "0.48" 0.4 7.91 0.01 +500 50 "0.3" 0.1 0.63 "0.28 ( 0 )" "3.86 ( 0.25 )" "0 ( 0 )" 8.86 "0.28" 0.28 3.86 0 +1000 50 "0.3" 0.05 0.78 "0.27 ( 0 )" "2.45 ( 0.14 )" "0 ( 0 )" 7.45 "0.17" 0.27 2.45 0 +50 100 "0.3" 2 0.21 "0.82 ( 0.05 )" "12.31 ( 0.43 )" "1.14 ( 0.1 )" 16.17 "0.68" 0.82 12.3 1.14 +100 100 "0.3" 1 0.34 "0.44 ( 0.01 )" "10.58 ( 0.62 )" "0.09 ( 0.03 )" 15.49 "0.56" 0.44 10.5 0.09 +500 100 "0.3" 0.2 0.61 "0.27 ( 0 )" "4.51 ( 0.29 )" "0 ( 0 )" 9.51 "0.32" 0.27 4.51 0 +1000 100 "0.3" 0.1 0.69 "0.27 ( 0 )" "3.46 ( 0.29 )" "0 ( 0 )" 8.46 "0.24" 0.27 3.46 0 +50 500 "0.3" 10 0.09 "1.25 ( 0.07 )" "20.71 ( 0.36 )" "2.63 ( 0.11 )" 23.08 "0.85" 1.25 20.7 2.63 +100 500 "0.3" 5 0.23 "0.59 ( 0.02 )" "18.01 ( 0.69 )" "0.35 ( 0.06 )" 22.66 "0.73" 0.59 18 0.35 +500 500 "0.3" 1 0.47 "0.29 ( 0 )" "7.7 ( 0.54 )" "0 ( 0 )" 12.7 "0.45" 0.29 7.7 0 +1000 500 "0.3" 0.5 0.53 "0.27 ( 0 )" "6.14 ( 0.57 )" "0 ( 0 )" 11.14 "0.36" 0.27 6.14 0 +50 1000 "0.3" 20 0.06 "1.51 ( 0.08 )" "24.06 ( 0.36 )" "3.21 ( 0.11 )" 25.85 "0.89" 1.51 24 3.21 +100 1000 "0.3" 10 0.17 "0.67 ( 0.03 )" "22.69 ( 0.61 )" "0.73 ( 0.08 )" 26.96 "0.8" 0.67 22.6 0.73 +500 1000 "0.3" 2 0.35 "0.29 ( 0 )" "11.72 ( 0.9 )" "0 ( 0 )" 16.72 "0.55" 0.29 11.7 0 +1000 1000 "0.3" 1 0.51 "0.27 ( 0 )" "6.69 ( 0.52 )" "0 ( 0 )" 11.69 "0.41" 0.27 6.69 0 +50 50 "0.5" 1 0.33 "0.64 ( 0.03 )" "9.36 ( 0.45 )" "0.12 ( 0.04 )" 14.24 "0.55" 0.64 9.36 0.12 +100 50 "0.5" 0.5 0.41 "0.36 ( 0.01 )" "7.39 ( 0.39 )" "0 ( 0 )" 12.39 "0.47" 0.36 7.39 0 +500 50 "0.5" 0.1 0.7 "0.28 ( 0 )" "3.18 ( 0.23 )" "0 ( 0 )" 8.18 "0.22" 0.28 3.18 0 +1000 50 "0.5" 0.05 0.82 "0.27 ( 0 )" "2.11 ( 0.13 )" "0 ( 0 )" 7.11 "0.13" 0.27 2.11 0 +50 100 "0.5" 2 0.28 "0.78 ( 0.05 )" "12.05 ( 0.47 )" "0.38 ( 0.07 )" 16.67 "0.64" 0.78 12 0.38 +100 100 "0.5" 1 0.37 "0.42 ( 0.02 )" "9.57 ( 0.58 )" "0 ( 0 )" 14.57 "0.54" 0.42 9.57 0 +500 100 "0.5" 0.2 0.59 "0.27 ( 0 )" "4.7 ( 0.3 )" "0 ( 0 )" 9.7 "0.33" 0.27 4.7 0 +1000 100 "0.5" 0.1 0.78 "0.27 ( 0 )" "2.58 ( 0.16 )" "0 ( 0 )" 7.58 "0.18" 0.27 2.58 0 +50 500 "0.5" 10 0.12 "1.64 ( 0.1 )" "21.8 ( 0.36 )" "1.82 ( 0.11 )" 24.98 "0.83" 1.64 21.8 1.82 +100 500 "0.5" 5 0.24 "0.55 ( 0.02 )" "18.37 ( 0.77 )" "0.04 ( 0.02 )" 23.33 "0.72" 0.55 18.3 0.04 +500 500 "0.5" 1 0.46 "0.3 ( 0 )" "7.82 ( 0.64 )" "0 ( 0 )" 12.82 "0.44" 0.3 7.82 0 +1000 500 "0.5" 0.5 0.65 "0.28 ( 0 )" "4.16 ( 0.33 )" "0 ( 0 )" 9.16 "0.28" 0.28 4.16 0 +50 1000 "0.5" 20 0.09 "1.84 ( 0.1 )" "24.67 ( 0.36 )" "2.56 ( 0.11 )" 27.11 "0.87" 1.84 24.6 2.56 +100 1000 "0.5" 10 0.21 "0.64 ( 0.03 )" "22.01 ( 0.65 )" "0.12 ( 0.03 )" 26.89 "0.77" 0.64 22 0.12 +500 1000 "0.5" 2 0.45 "0.29 ( 0 )" "8.22 ( 0.73 )" "0 ( 0 )" 13.22 "0.44" 0.29 8.22 0 +1000 1000 "0.5" 1 0.53 "0.27 ( 0 )" "6.36 ( 0.51 )" "0 ( 0 )" 11.36 "0.39" 0.27 6.36 0 +50 50 "0.7" 1 0.36 "0.57 ( 0.04 )" "8.63 ( 0.41 )" "0.06 ( 0.02 )" 13.57 "0.52" 0.57 8.63 0.06 +100 50 "0.7" 0.5 0.45 "0.37 ( 0.01 )" "6.73 ( 0.39 )" "0 ( 0 )" 11.73 "0.44" 0.37 6.73 0 +500 50 "0.7" 0.1 0.71 "0.28 ( 0 )" "3.01 ( 0.2 )" "0 ( 0 )" 8.01 "0.22" 0.28 3.01 0 +1000 50 "0.7" 0.05 0.85 "0.27 ( 0 )" "1.89 ( 0.12 )" "0 ( 0 )" 6.89 "0.11" 0.27 1.89 0 +50 100 "0.7" 2 0.3 "0.82 ( 0.05 )" "11.87 ( 0.44 )" "0.17 ( 0.05 )" 16.7 "0.63" 0.82 11.8 0.17 +100 100 "0.7" 1 0.37 "0.41 ( 0.02 )" "9.7 ( 0.63 )" "0 ( 0 )" 14.7 "0.53" 0.41 9.7 0 +500 100 "0.7" 0.2 0.66 "0.28 ( 0 )" "3.85 ( 0.3 )" "0 ( 0 )" 8.85 "0.26" 0.28 3.85 0 +1000 100 "0.7" 0.1 0.76 "0.27 ( 0 )" "2.71 ( 0.23 )" "0 ( 0 )" 7.71 "0.17" 0.27 2.71 0 +50 500 "0.7" 10 0.15 "2.03 ( 0.14 )" "21.53 ( 0.36 )" "1.18 ( 0.11 )" 25.35 "0.81" 2.03 21.5 1.18 +100 500 "0.7" 5 0.28 "0.54 ( 0.02 )" "16.11 ( 0.63 )" "0 ( 0 )" 21.11 "0.69" 0.54 16.1 0 +500 500 "0.7" 1 0.51 "0.29 ( 0 )" "6.69 ( 0.45 )" "0 ( 0 )" 11.69 "0.42" 0.29 6.69 0 +1000 500 "0.7" 0.5 0.62 "0.28 ( 0 )" "4.65 ( 0.37 )" "0 ( 0 )" 9.65 "0.3" 0.28 4.65 0 +50 1000 "0.7" 20 0.1 "2.51 ( 0.13 )" "25.24 ( 0.32 )" "2.11 ( 0.12 )" 28.13 "0.86" 2.51 25.2 2.11 +100 1000 "0.7" 10 0.22 "0.59 ( 0.02 )" "21.52 ( 0.68 )" "0.01 ( 0.01 )" 26.51 "0.76" 0.59 21.5 0.01 +500 1000 "0.7" 2 0.47 "0.3 ( 0 )" "7.81 ( 0.61 )" "0 ( 0 )" 12.81 "0.45" 0.3 7.81 0 +1000 1000 "0.7" 1 0.65 "0.28 ( 0 )" "4.14 ( 0.35 )" "0 ( 0 )" 9.14 "0.27" 0.28 4.14 0 +50 50 "0.9" 1 0.32 "0.61 ( 0.05 )" "9.61 ( 0.49 )" "0.07 ( 0.03 )" 14.54 "0.55" 0.61 9.61 0.07 +100 50 "0.9" 0.5 0.44 "0.37 ( 0.01 )" "6.82 ( 0.39 )" "0 ( 0 )" 11.82 "0.44" 0.37 6.82 0 +500 50 "0.9" 0.1 0.75 "0.27 ( 0 )" "2.68 ( 0.17 )" "0 ( 0 )" 7.68 "0.19" 0.27 2.68 0 +1000 50 "0.9" 0.05 0.87 "0.27 ( 0 )" "1.76 ( 0.11 )" "0 ( 0 )" 6.76 "0.09" 0.27 1.76 0 +50 100 "0.9" 2 0.29 "0.87 ( 0.05 )" "12.12 ( 0.37 )" "0.17 ( 0.05 )" 16.95 "0.64" 0.87 12.1 0.17 +100 100 "0.9" 1 0.4 "0.38 ( 0.01 )" "8.72 ( 0.53 )" "0 ( 0 )" 13.72 "0.51" 0.38 8.72 0 +500 100 "0.9" 0.2 0.67 "0.27 ( 0 )" "3.68 ( 0.28 )" "0 ( 0 )" 8.68 "0.25" 0.27 3.68 0 +1000 100 "0.9" 0.1 0.76 "0.27 ( 0 )" "2.72 ( 0.23 )" "0 ( 0 )" 7.72 "0.17" 0.27 2.72 0 +50 500 "0.9" 10 0.14 "2.29 ( 0.15 )" "23.7 ( 0.43 )" "1.18 ( 0.11 )" 27.52 "0.82" 2.29 23.7 1.18 +100 500 "0.9" 5 0.28 "0.51 ( 0.02 )" "16.13 ( 0.62 )" "0 ( 0 )" 21.13 "0.69" 0.51 16.1 0 +500 500 "0.9" 1 0.5 "0.29 ( 0 )" "6.87 ( 0.54 )" "0 ( 0 )" 11.87 "0.41" 0.29 6.87 0 +1000 500 "0.9" 0.5 0.71 "0.27 ( 0 )" "3.37 ( 0.27 )" "0 ( 0 )" 8.37 "0.23" 0.27 3.37 0 +50 1000 "0.9" 20 0.11 "2.46 ( 0.16 )" "25.37 ( 0.35 )" "1.73 ( 0.12 )" 28.64 "0.85" 2.46 25.3 1.73 +100 1000 "0.9" 10 0.22 "0.62 ( 0.03 )" "21.43 ( 0.62 )" "0 ( 0 )" 26.43 "0.76" 0.62 21.4 0 +500 1000 "0.9" 2 0.46 "0.3 ( 0 )" "7.99 ( 0.79 )" "0 ( 0 )" 12.99 "0.42" 0.3 7.99 0 +1000 1000 "0.9" 1 0.6 "0.28 ( 0 )" "4.93 ( 0.43 )" "0 ( 0 )" 9.93 "0.31" 0.28 4.93 0 diff --git a/simulations/results_summary/sim_block_rf.txt b/simulations/results_summary/sim_block_rf.txt new file mode 100644 index 0000000..badb16b --- /dev/null +++ b/simulations/results_summary/sim_block_rf.txt @@ -0,0 +1,81 @@ +"N" "P" "Corr" "Ratio" "Stab" "MSE" "FP" "FN" "OOB" "num_select" "FDR" "MSE_mean" "FP_mean" "FN_mean" "OOB_mean" +50 50 "0.1" 1 0 "0.08 ( 0 )" "1 ( 0 )" "6 ( 0 )" "0.59 ( 0.01 )" 0 "NaN" 0.08 1 6 0.59 +100 50 "0.1" 0.5 0.03 "0.07 ( 0 )" "2.26 ( 0.17 )" "5.06 ( 0.12 )" "0.58 ( 0 )" 3.04 "0.7" 0.07 2.26 5.06 0.58 +500 50 "0.1" 0.1 0.23 "0.05 ( 0 )" "2.34 ( 0.16 )" "3.77 ( 0.14 )" "0.56 ( 0 )" 4.56 "0.49" 0.05 2.34 3.77 0.56 +1000 50 "0.1" 0.05 0.51 "0.05 ( 0 )" "2.37 ( 0.16 )" "2.54 ( 0.11 )" "0.55 ( 0 )" 5.83 "0.38" 0.05 2.37 2.54 0.55 +50 100 "0.1" 2 0 "0.08 ( 0 )" "1 ( 0 )" "6 ( 0 )" "0.6 ( 0.01 )" 0 "NaN" 0.08 1 6 0.6 +100 100 "0.1" 1 0.01 "0.07 ( 0 )" "4.76 ( 0.27 )" "5.51 ( 0.09 )" "0.58 ( 0 )" 5.24 "0.91" 0.07 4.76 5.51 0.58 +500 100 "0.1" 0.2 0.22 "0.05 ( 0 )" "4.86 ( 0.25 )" "3.36 ( 0.15 )" "0.57 ( 0 )" 7.5 "0.63" 0.05 4.86 3.36 0.57 +1000 100 "0.1" 0.1 0.52 "0.05 ( 0 )" "4.65 ( 0.2 )" "1.99 ( 0.13 )" "0.56 ( 0 )" 8.66 "0.52" 0.05 4.65 1.99 0.56 +50 500 "0.1" 10 0 "0.08 ( 0 )" "1 ( 0 )" "6 ( 0 )" "0.59 ( 0.01 )" 0 "NaN" 0.08 1 6 0.59 +100 500 "0.1" 5 0 "0.07 ( 0 )" "23.53 ( 0.53 )" "5.27 ( 0.11 )" "0.59 ( 0 )" 24.26 "0.97" 0.07 23.5 5.27 0.59 +500 500 "0.1" 1 0.07 "0.06 ( 0 )" "23.98 ( 0.51 )" "3.3 ( 0.16 )" "0.58 ( 0 )" 26.68 "0.9" 0.06 23.9 3.3 0.58 +1000 500 "0.1" 0.5 0.17 "0.05 ( 0 )" "23.6 ( 0.51 )" "1.93 ( 0.15 )" "0.57 ( 0 )" 27.67 "0.85" 0.05 23.6 1.93 0.57 +50 1000 "0.1" 20 0 "0.08 ( 0 )" "1 ( 0 )" "6 ( 0 )" "0.59 ( 0.01 )" 0 "NaN" 0.08 1 6 0.59 +100 1000 "0.1" 10 0 "0.06 ( 0 )" "48.27 ( 0.79 )" "5.46 ( 0.08 )" "0.59 ( 0 )" 48.81 "0.99" 0.06 48.2 5.46 0.59 +500 1000 "0.1" 2 0.02 "0.06 ( 0 )" "48.48 ( 0.7 )" "3.65 ( 0.16 )" "0.58 ( 0 )" 50.83 "0.95" 0.06 48.4 3.65 0.58 +1000 1000 "0.1" 1 0.07 "0.05 ( 0 )" "47.72 ( 0.68 )" "2.25 ( 0.14 )" "0.58 ( 0 )" 51.47 "0.93" 0.05 47.7 2.25 0.58 +50 50 "0.3" 1 0 "0.31 ( 0.01 )" "1 ( 0 )" "6 ( 0 )" "1.14 ( 0.01 )" 0 "NaN" 0.31 1 6 1.14 +100 50 "0.3" 0.5 0.05 "0.25 ( 0.01 )" "1.97 ( 0.13 )" "4.84 ( 0.08 )" "1.05 ( 0.01 )" 3.11 "0.59" 0.25 1.97 4.84 1.05 +500 50 "0.3" 0.1 0.65 "0.16 ( 0 )" "0.74 ( 0.08 )" "1.78 ( 0.08 )" "0.84 ( 0 )" 4.96 "0.14" 0.16 0.74 1.78 0.84 +1000 50 "0.3" 0.05 0.84 "0.13 ( 0 )" "0.3 ( 0.05 )" "0.69 ( 0.07 )" "0.77 ( 0 )" 5.61 "0.05" 0.13 0.3 0.69 0.77 +50 100 "0.3" 2 0 "0.32 ( 0.01 )" "1 ( 0 )" "6 ( 0 )" "1.2 ( 0.01 )" 0 "NaN" 0.32 1 6 1.2 +100 100 "0.3" 1 0.05 "0.25 ( 0.01 )" "4.14 ( 0.18 )" "4.63 ( 0.1 )" "1.14 ( 0.01 )" 5.51 "0.74" 0.25 4.14 4.63 1.14 +500 100 "0.3" 0.2 0.47 "0.19 ( 0 )" "2.7 ( 0.14 )" "1.77 ( 0.09 )" "0.93 ( 0 )" 6.93 "0.37" 0.19 2.7 1.77 0.93 +1000 100 "0.3" 0.1 0.66 "0.16 ( 0 )" "1.78 ( 0.13 )" "0.64 ( 0.07 )" "0.86 ( 0 )" 7.14 "0.23" 0.16 1.78 0.64 0.86 +50 500 "0.3" 10 0 "0.36 ( 0.02 )" "1 ( 0 )" "6 ( 0 )" "1.23 ( 0.01 )" 0 "NaN" 0.36 1 6 1.23 +100 500 "0.3" 5 0.01 "0.25 ( 0.01 )" "25.01 ( 0.53 )" "4.87 ( 0.09 )" "1.22 ( 0.01 )" 26.14 "0.96" 0.25 25 4.87 1.22 +500 500 "0.3" 1 0.09 "0.23 ( 0 )" "22.67 ( 0.44 )" "2.42 ( 0.09 )" "1.14 ( 0 )" 26.25 "0.86" 0.23 22.6 2.42 1.14 +1000 500 "0.3" 0.5 0.16 "0.22 ( 0 )" "19.38 ( 0.47 )" "1.14 ( 0.07 )" "1.11 ( 0 )" 24.24 "0.79" 0.22 19.3 1.14 1.11 +50 1000 "0.3" 20 0 "0.34 ( 0.01 )" "1 ( 0 )" "6 ( 0 )" "1.26 ( 0.01 )" 0 "NaN" 0.34 1 6 1.26 +100 1000 "0.3" 10 0 "0.26 ( 0.01 )" "48.76 ( 0.63 )" "5.22 ( 0.09 )" "1.21 ( 0.01 )" 49.54 "0.98" 0.26 48.7 5.22 1.21 +500 1000 "0.3" 2 0.04 "0.23 ( 0 )" "46.28 ( 0.69 )" "2.72 ( 0.1 )" "1.19 ( 0 )" 49.56 "0.93" 0.23 46.2 2.72 1.19 +1000 1000 "0.3" 1 0.07 "0.23 ( 0 )" "44.67 ( 0.68 )" "1.33 ( 0.08 )" "1.17 ( 0 )" 49.34 "0.9" 0.23 44.6 1.33 1.17 +50 50 "0.5" 1 0 "0.6 ( 0.03 )" "1 ( 0 )" "6 ( 0 )" "1.46 ( 0.01 )" 0 "NaN" 0.6 1 6 1.46 +100 50 "0.5" 0.5 0.09 "0.42 ( 0.01 )" "1.75 ( 0.14 )" "4.6 ( 0.09 )" "1.33 ( 0.01 )" 3.15 "0.5" 0.42 1.75 4.6 1.33 +500 50 "0.5" 0.1 0.71 "0.26 ( 0 )" "0.56 ( 0.07 )" "1.57 ( 0.08 )" "1.02 ( 0 )" 4.99 "0.1" 0.26 0.56 1.57 1.02 +1000 50 "0.5" 0.05 0.85 "0.2 ( 0 )" "0.24 ( 0.05 )" "0.73 ( 0.07 )" "0.93 ( 0 )" 5.51 "0.04" 0.2 0.24 0.73 0.93 +50 100 "0.5" 2 0 "0.6 ( 0.02 )" "1 ( 0 )" "6 ( 0 )" "1.56 ( 0.01 )" 0 "NaN" 0.6 1 6 1.56 +100 100 "0.5" 1 0.06 "0.47 ( 0.02 )" "4.15 ( 0.17 )" "4.61 ( 0.09 )" "1.45 ( 0.01 )" 5.54 "0.74" 0.47 4.15 4.61 1.45 +500 100 "0.5" 0.2 0.52 "0.32 ( 0 )" "2.32 ( 0.14 )" "1.5 ( 0.09 )" "1.16 ( 0 )" 6.82 "0.32" 0.32 2.32 1.5 1.16 +1000 100 "0.5" 0.1 0.73 "0.26 ( 0 )" "1.21 ( 0.1 )" "0.6 ( 0.07 )" "1.06 ( 0 )" 6.61 "0.17" 0.26 1.21 0.6 1.06 +50 500 "0.5" 10 0 "0.58 ( 0.02 )" "1 ( 0 )" "6 ( 0 )" "1.64 ( 0.02 )" 0 "NaN" 0.58 1 6 1.64 +100 500 "0.5" 5 0.01 "0.46 ( 0.01 )" "24.25 ( 0.46 )" "4.96 ( 0.09 )" "1.6 ( 0.01 )" 25.29 "0.96" 0.46 24.2 4.96 1.6 +500 500 "0.5" 1 0.11 "0.41 ( 0 )" "21.23 ( 0.42 )" "2.01 ( 0.1 )" "1.49 ( 0 )" 25.22 "0.84" 0.41 21.2 2.01 1.49 +1000 500 "0.5" 0.5 0.17 "0.37 ( 0 )" "18.91 ( 0.41 )" "0.96 ( 0.07 )" "1.44 ( 0 )" 23.95 "0.78" 0.37 18.9 0.96 1.44 +50 1000 "0.5" 20 0 "0.57 ( 0.02 )" "1 ( 0 )" "6 ( 0 )" "1.64 ( 0.02 )" 0 "NaN" 0.57 1 6 1.64 +100 1000 "0.5" 10 0 "0.47 ( 0.01 )" "49.88 ( 0.68 )" "5.13 ( 0.08 )" "1.62 ( 0.01 )" 50.75 "0.98" 0.47 49.8 5.13 1.62 +500 1000 "0.5" 2 0.05 "0.42 ( 0 )" "45.98 ( 0.68 )" "2.22 ( 0.09 )" "1.57 ( 0 )" 49.76 "0.92" 0.42 45.9 2.22 1.57 +1000 1000 "0.5" 1 0.08 "0.4 ( 0 )" "44.42 ( 0.63 )" "1.13 ( 0.07 )" "1.53 ( 0 )" 49.29 "0.9" 0.4 44.4 1.13 1.53 +50 50 "0.7" 1 0 "0.8 ( 0.04 )" "1 ( 0 )" "6 ( 0 )" "1.72 ( 0.02 )" 0 "NaN" 0.8 1 6 1.72 +100 50 "0.7" 0.5 0.11 "0.59 ( 0.02 )" "1.85 ( 0.14 )" "4.52 ( 0.08 )" "1.57 ( 0.01 )" 3.32 "0.51" 0.59 1.85 4.52 1.57 +500 50 "0.7" 0.1 0.71 "0.35 ( 0 )" "0.51 ( 0.07 )" "1.72 ( 0.09 )" "1.17 ( 0 )" 4.79 "0.1" 0.35 0.51 1.72 1.17 +1000 50 "0.7" 0.05 0.87 "0.27 ( 0 )" "0.18 ( 0.05 )" "0.72 ( 0.07 )" "1.06 ( 0 )" 5.46 "0.03" 0.27 0.18 0.72 1.06 +50 100 "0.7" 2 0 "0.92 ( 0.04 )" "1 ( 0 )" "6 ( 0 )" "1.85 ( 0.02 )" 0 "NaN" 0.92 1 6 1.85 +100 100 "0.7" 1 0.05 "0.63 ( 0.02 )" "4.69 ( 0.18 )" "4.65 ( 0.09 )" "1.7 ( 0.01 )" 6.04 "0.77" 0.63 4.69 4.65 1.7 +500 100 "0.7" 0.2 0.53 "0.43 ( 0 )" "2.27 ( 0.15 )" "1.46 ( 0.09 )" "1.36 ( 0 )" 6.81 "0.31" 0.43 2.27 1.46 1.36 +1000 100 "0.7" 0.1 0.71 "0.35 ( 0 )" "1.47 ( 0.13 )" "0.63 ( 0.06 )" "1.22 ( 0 )" 6.84 "0.19" 0.35 1.47 0.63 1.22 +50 500 "0.7" 10 0 "0.91 ( 0.04 )" "1 ( 0 )" "6 ( 0 )" "2 ( 0.02 )" 0 "NaN" 0.91 1 6 2 +100 500 "0.7" 5 0.01 "0.69 ( 0.02 )" "24.52 ( 0.45 )" "4.6 ( 0.09 )" "1.93 ( 0.01 )" 25.92 "0.95" 0.69 24.5 4.6 1.93 +500 500 "0.7" 1 0.12 "0.57 ( 0.01 )" "20.96 ( 0.41 )" "1.86 ( 0.09 )" "1.77 ( 0.01 )" 25.1 "0.83" 0.57 20.9 1.86 1.77 +1000 500 "0.7" 0.5 0.17 "0.52 ( 0 )" "18.88 ( 0.46 )" "1.01 ( 0.08 )" "1.7 ( 0 )" 23.87 "0.78" 0.52 18.8 1.01 1.7 +50 1000 "0.7" 20 0 "0.91 ( 0.04 )" "1 ( 0 )" "6 ( 0 )" "1.98 ( 0.02 )" 0 "NaN" 0.91 1 6 1.98 +100 1000 "0.7" 10 0.01 "0.66 ( 0.02 )" "49.65 ( 0.71 )" "4.89 ( 0.09 )" "1.93 ( 0.01 )" 50.76 "0.98" 0.66 49.6 4.89 1.93 +500 1000 "0.7" 2 0.05 "0.6 ( 0.01 )" "47.23 ( 0.73 )" "2.18 ( 0.1 )" "1.88 ( 0.01 )" 51.05 "0.92" 0.6 47.2 2.18 1.88 +1000 1000 "0.7" 1 0.08 "0.57 ( 0 )" "43.91 ( 0.67 )" "1.1 ( 0.08 )" "1.82 ( 0 )" 48.81 "0.9" 0.57 43.9 1.1 1.82 +50 50 "0.9" 1 0 "1.1 ( 0.04 )" "1 ( 0 )" "6 ( 0 )" "1.99 ( 0.02 )" 0 "NaN" 1.1 1 6 1.99 +100 50 "0.9" 0.5 0.16 "0.78 ( 0.02 )" "1.56 ( 0.11 )" "4.38 ( 0.09 )" "1.78 ( 0.01 )" 3.16 "0.46" 0.78 1.56 4.38 1.78 +500 50 "0.9" 0.1 0.74 "0.44 ( 0 )" "0.45 ( 0.06 )" "1.49 ( 0.08 )" "1.31 ( 0 )" 4.96 "0.08" 0.44 0.45 1.49 1.31 +1000 50 "0.9" 0.05 0.86 "0.34 ( 0 )" "0.14 ( 0.04 )" "0.86 ( 0.08 )" "1.17 ( 0 )" 5.28 "0.02" 0.34 0.14 0.86 1.17 +50 100 "0.9" 2 0 "1.11 ( 0.05 )" "1 ( 0 )" "6 ( 0 )" "2.06 ( 0.02 )" 0 "NaN" 1.11 1 6 2.06 +100 100 "0.9" 1 0.09 "0.84 ( 0.02 )" "3.94 ( 0.18 )" "4.32 ( 0.09 )" "1.95 ( 0.01 )" 5.62 "0.68" 0.84 3.94 4.32 1.95 +500 100 "0.9" 0.2 0.55 "0.54 ( 0.01 )" "2.11 ( 0.15 )" "1.47 ( 0.08 )" "1.51 ( 0 )" 6.64 "0.29" 0.54 2.11 1.47 1.51 +1000 100 "0.9" 0.1 0.76 "0.44 ( 0 )" "1.05 ( 0.11 )" "0.55 ( 0.06 )" "1.36 ( 0 )" 6.5 "0.14" 0.44 1.05 0.55 1.36 +50 500 "0.9" 10 0 "1.18 ( 0.05 )" "1 ( 0 )" "6 ( 0 )" "2.2 ( 0.02 )" 0 "NaN" 1.18 1 6 2.2 +100 500 "0.9" 5 0.01 "0.86 ( 0.02 )" "24.13 ( 0.47 )" "4.7 ( 0.09 )" "2.18 ( 0.02 )" 25.43 "0.95" 0.86 24.1 4.7 2.18 +500 500 "0.9" 1 0.12 "0.73 ( 0.01 )" "20.83 ( 0.45 )" "2.04 ( 0.09 )" "2 ( 0.01 )" 24.79 "0.84" 0.73 20.8 2.04 2 +1000 500 "0.9" 0.5 0.18 "0.68 ( 0.01 )" "18.47 ( 0.43 )" "1 ( 0.07 )" "1.92 ( 0 )" 23.47 "0.78" 0.68 18.4 0 1.92 +50 1000 "0.9" 20 0 "1.22 ( 0.05 )" "1 ( 0 )" "6 ( 0 )" "2.3 ( 0.03 )" 0 "NaN" 1.22 1 6 2.3 +100 1000 "0.9" 10 0.01 "0.93 ( 0.02 )" "49.18 ( 0.69 )" "4.67 ( 0.09 )" "2.22 ( 0.02 )" 50.51 "0.97" 0.93 49.1 4.67 2.22 +500 1000 "0.9" 2 0.06 "0.78 ( 0.01 )" "46.01 ( 0.7 )" "2.14 ( 0.09 )" "2.12 ( 0.01 )" 49.87 "0.92" 0.78 46 2.14 2.12 +1000 1000 "0.9" 1 0.08 "0.74 ( 0.01 )" "43.05 ( 0.72 )" "1.17 ( 0.08 )" "2.07 ( 0 )" 47.88 "0.9" 0.74 43 1.17 2.07 diff --git a/simulations/results_summary/sim_ind_compLasso.txt b/simulations/results_summary/sim_ind_compLasso.txt new file mode 100644 index 0000000..52ebf9a --- /dev/null +++ b/simulations/results_summary/sim_ind_compLasso.txt @@ -0,0 +1,17 @@ +"N" "P" "Ratio" "Stab" "MSE" "FP" "FN" "num_select" "FDR" "MSE_mean" "FP_mean" "FN_mean" +50 50 1 0.61 "0.8 ( 0.05 )" "2.99 ( 0.27 )" "0.05 ( 0.02 )" 8.94 "0.28" 0.8 2.99 0.05 +100 50 0.5 0.87 "0.98 ( 0.06 )" "0.79 ( 0.15 )" "0 ( 0 )" 6.79 "0.09" 0.98 0.79 0 +500 50 0.1 0.91 "1.08 ( 0.05 )" "0.51 ( 0.11 )" "0 ( 0 )" 6.51 "0.06" 1.08 0.51 0 +1000 50 0.05 0.93 "1.18 ( 0.04 )" "0.39 ( 0.15 )" "0 ( 0 )" 6.39 "0.04" 1.18 0.39 0 +50 100 2 0.52 "1.05 ( 0.07 )" "4.3 ( 0.31 )" "0.24 ( 0.05 )" 10.06 "0.37" 1.05 4.3 0.24 +100 100 1 0.85 "0.94 ( 0.04 )" "1.02 ( 0.19 )" "0 ( 0 )" 7.02 "0.11" 0.94 1.02 0 +500 100 0.2 0.96 "1.16 ( 0.04 )" "0.25 ( 0.09 )" "0 ( 0 )" 6.25 "0.03" 1.16 0.25 0 +1000 100 0.1 0.89 "1.04 ( 0.05 )" "0.71 ( 0.15 )" "0 ( 0 )" 6.71 "0.08" 1.04 0.71 0 +50 500 10 0.38 "2.18 ( 0.13 )" "5.53 ( 0.36 )" "1.27 ( 0.11 )" 10.26 "0.48" 2.18 5.53 1.27 +100 500 5 0.75 "1 ( 0.05 )" "1.9 ( 0.29 )" "0.03 ( 0.02 )" 7.87 "0.18" 1 1.9 0.03 +500 500 1 0.96 "1.18 ( 0.04 )" "0.27 ( 0.13 )" "0 ( 0 )" 6.27 "0.03" 1.18 0.27 0 +1000 500 0.5 0.96 "1.24 ( 0.04 )" "0.25 ( 0.1 )" "0 ( 0 )" 6.25 "0.03" 1.24 0.25 0 +50 1000 20 0.32 "3.09 ( 0.23 )" "5.56 ( 0.36 )" "1.95 ( 0.14 )" 9.61 "0.51" 3.09 5.56 1.95 +100 1000 10 0.67 "1.1 ( 0.07 )" "2.8 ( 0.37 )" "0.04 ( 0.02 )" 8.76 "0.24" 1.1 2.8 0.04 +500 1000 2 0.96 "1.12 ( 0.04 )" "0.27 ( 0.08 )" "0 ( 0 )" 6.27 "0.03" 1.12 0.27 0 +1000 1000 1 0.96 "1.16 ( 0.04 )" "0.24 ( 0.07 )" "0 ( 0 )" 6.24 "0.03" 1.16 0.24 0 diff --git a/simulations/results_summary/sim_ind_elnet.txt b/simulations/results_summary/sim_ind_elnet.txt new file mode 100644 index 0000000..0273d31 --- /dev/null +++ b/simulations/results_summary/sim_ind_elnet.txt @@ -0,0 +1,17 @@ +"N" "P" "Ratio" "Stab" "MSE" "FP" "FN" "num_select" "FDR" "MSE_mean" "FP_mean" "FN_mean" +50 50 1 0.2 "0.53 ( 0.03 )" "14.99 ( 0.59 )" "0 ( 0 )" 19.99 "0.67" 0.53 14.9 0 +100 50 0.5 0.23 "0.34 ( 0.01 )" "13.46 ( 0.55 )" "0 ( 0 )" 18.46 "0.65" 0.34 13.4 0 +500 50 0.1 0.23 "0.26 ( 0 )" "13.65 ( 0.56 )" "0 ( 0 )" 18.65 "0.64" 0.26 13.6 0 +1000 50 0.05 0.27 "0.25 ( 0 )" "11.76 ( 0.53 )" "0 ( 0 )" 16.76 "0.6" 0.25 11.7 0 +50 100 2 0.19 "0.74 ( 0.06 )" "19.45 ( 0.66 )" "0.04 ( 0.02 )" 24.41 "0.74" 0.74 19.4 0.04 +100 100 1 0.2 "0.38 ( 0.01 )" "19.2 ( 1.02 )" "0 ( 0 )" 24.2 "0.71" 0.38 19.2 0 +500 100 0.2 0.23 "0.27 ( 0 )" "16.28 ( 0.78 )" "0 ( 0 )" 21.28 "0.67" 0.27 16.2 0 +1000 100 0.1 0.23 "0.26 ( 0 )" "17.05 ( 0.76 )" "0 ( 0 )" 22.05 "0.69" 0.26 17 0 +50 500 10 0.13 "1.65 ( 0.13 )" "30.38 ( 1.24 )" "0.58 ( 0.08 )" 34.8 "0.83" 1.65 30.3 0.58 +100 500 5 0.15 "0.5 ( 0.02 )" "32.18 ( 1.44 )" "0 ( 0 )" 37.18 "0.81" 0.5 32.1 0 +500 500 1 0.16 "0.28 ( 0 )" "29.79 ( 1.73 )" "0 ( 0 )" 34.79 "0.78" 0.28 29.7 0 +1000 500 0.5 0.18 "0.26 ( 0 )" "27.21 ( 1.58 )" "0 ( 0 )" 32.21 "0.77" 0.26 27.2 0 +50 1000 20 0.1 "2.5 ( 0.22 )" "36.6 ( 2.03 )" "1.12 ( 0.09 )" 40.48 "0.86" 2.5 36.6 1.12 +100 1000 10 0.13 "0.56 ( 0.02 )" "40.61 ( 1.71 )" "0 ( 0 )" 45.61 "0.85" 0.56 40.6 0 +500 1000 2 0.14 "0.27 ( 0 )" "35.98 ( 2.2 )" "0 ( 0 )" 40.98 "0.8" 0.27 35.9 0 +1000 1000 1 0.15 "0.27 ( 0 )" "34.65 ( 2.02 )" "0 ( 0 )" 39.65 "0.79" 0.27 34.6 0 diff --git a/simulations/results_summary/sim_ind_lasso.txt b/simulations/results_summary/sim_ind_lasso.txt new file mode 100644 index 0000000..5321933 --- /dev/null +++ b/simulations/results_summary/sim_ind_lasso.txt @@ -0,0 +1,17 @@ +"N" "P" "Ratio" "Stab" "MSE" "FP" "FN" "num_select" "FDR" "MSE_mean" "FP_mean" "FN_mean" +50 50 1 0.37 "0.54 ( 0.03 )" "8.36 ( 0.45 )" "0.02 ( 0.01 )" 13.34 "0.51" 0.54 8.36 0.02 +100 50 0.5 0.51 "0.36 ( 0.01 )" "5.5 ( 0.42 )" "0 ( 0 )" 10.5 "0.37" 0.36 5.5 0 +500 50 0.1 0.79 "0.28 ( 0 )" "2.33 ( 0.14 )" "0 ( 0 )" 7.33 "0.15" 0.28 2.33 0 +1000 50 0.05 0.86 "0.26 ( 0 )" "1.82 ( 0.13 )" "0 ( 0 )" 6.82 "0.1" 0.26 1.82 0 +50 100 2 0.32 "0.66 ( 0.04 )" "11.1 ( 0.38 )" "0.08 ( 0.03 )" 16.02 "0.61" 0.66 11.1 0.08 +100 100 1 0.46 "0.41 ( 0.01 )" "7.23 ( 0.4 )" "0 ( 0 )" 12.23 "0.46" 0.41 7.23 0 +500 100 0.2 0.71 "0.29 ( 0 )" "3.26 ( 0.25 )" "0 ( 0 )" 8.26 "0.22" 0.29 3.26 0 +1000 100 0.1 0.82 "0.27 ( 0 )" "2.25 ( 0.15 )" "0 ( 0 )" 7.25 "0.15" 0.27 2.25 0 +50 500 10 0.19 "1.41 ( 0.11 )" "19.89 ( 0.38 )" "0.64 ( 0.08 )" 24.25 "0.77" 1.41 19.8 0.64 +100 500 5 0.3 "0.48 ( 0.02 )" "14.71 ( 0.7 )" "0 ( 0 )" 19.71 "0.66" 0.48 14.7 0 +500 500 1 0.61 "0.28 ( 0 )" "4.82 ( 0.34 )" "0 ( 0 )" 9.82 "0.32" 0.28 4.82 0 +1000 500 0.5 0.72 "0.27 ( 0 )" "3.35 ( 0.32 )" "0 ( 0 )" 8.35 "0.21" 0.27 3.35 0 +50 1000 20 0.14 "2.24 ( 0.19 )" "23.95 ( 0.37 )" "1.19 ( 0.09 )" 27.76 "0.82" 2.24 23.9 1.19 +100 1000 10 0.25 "0.53 ( 0.02 )" "18.53 ( 0.59 )" "0 ( 0 )" 23.53 "0.73" 0.53 18.5 0 +500 1000 2 0.52 "0.29 ( 0 )" "6.51 ( 0.45 )" "0 ( 0 )" 11.51 "0.4" 0.29 6.51 0 +1000 1000 1 0.64 "0.27 ( 0 )" "4.39 ( 0.56 )" "0 ( 0 )" 9.39 "0.26" 0.27 4.39 0 diff --git a/simulations/results_summary/sim_ind_lasso_NULL.txt b/simulations/results_summary/sim_ind_lasso_NULL.txt new file mode 100644 index 0000000..e738b03 --- /dev/null +++ b/simulations/results_summary/sim_ind_lasso_NULL.txt @@ -0,0 +1,17 @@ +"N" "P" "Ratio" "Stab" "MSE" "FP" "FN" "num_select" "MSE_mean" "FP_mean" "FN_mean" +50 50 1 0.4 "0.59 ( 0.05 )" "7.55 ( 0.46 )" "0.05 ( 0.03 )" 12.5 0.59 7.55 0.05 +100 50 0.5 0.54 "0.37 ( 0.01 )" "5.08 ( 0.44 )" "0 ( 0 )" 10.08 0.37 5.08 0 +500 50 0.1 0.84 "0.28 ( 0 )" "2.01 ( 0.11 )" "0 ( 0 )" 7.01 0.28 2.01 0 +1000 50 0.05 0.89 "0.27 ( 0 )" "1.64 ( 0.12 )" "0 ( 0 )" 6.64 0.27 1.64 0 +50 100 2 0.37 "0.79 ( 0.05 )" "8.81 ( 0.45 )" "0.21 ( 0.05 )" 13.6 0.79 8.81 0.21 +100 100 1 0.49 "0.42 ( 0.01 )" "6.42 ( 0.37 )" "0 ( 0 )" 11.42 0.42 6.42 0 +500 100 0.2 0.76 "0.29 ( 0 )" "2.71 ( 0.2 )" "0 ( 0 )" 7.71 0.29 2.71 0 +1000 100 0.1 0.86 "0.28 ( 0 )" "1.87 ( 0.13 )" "0 ( 0 )" 6.87 0.28 1.87 0 +50 500 10 0.26 "2.06 ( 0.16 )" "9.9 ( 0.55 )" "1.43 ( 0.15 )" 13.47 2.06 9.9 1.43 +100 500 5 0.35 "0.51 ( 0.02 )" "11.57 ( 0.77 )" "0 ( 0 )" 16.57 0.51 11.5 0 +500 500 1 0.7 "0.29 ( 0 )" "3.51 ( 0.26 )" "0 ( 0 )" 8.51 0.29 3.51 0 +1000 500 0.5 0.78 "0.27 ( 0 )" "2.69 ( 0.27 )" "0 ( 0 )" 7.69 0.27 2.69 0 +50 1000 20 0.24 "3.07 ( 0.23 )" "8.39 ( 0.55 )" "2.25 ( 0.16 )" 11.14 3.07 8.39 2.25 +100 1000 10 0.34 "0.61 ( 0.04 )" "12.58 ( 0.67 )" "0.01 ( 0.01 )" 17.57 0.61 12.5 0.01 +500 1000 2 0.61 "0.29 ( 0 )" "4.79 ( 0.34 )" "0 ( 0 )" 9.79 0.29 4.79 0 +1000 1000 1 0.74 "0.27 ( 0 )" "3.05 ( 0.37 )" "0 ( 0 )" 8.05 0.27 3.05 0 diff --git a/simulations/results_summary/sim_ind_rf.txt b/simulations/results_summary/sim_ind_rf.txt new file mode 100644 index 0000000..a82ed1d --- /dev/null +++ b/simulations/results_summary/sim_ind_rf.txt @@ -0,0 +1,17 @@ +"N" "P" "Ratio" "Stab" "MSE" "FP" "FN" "OOB" "num_select" "FDR" "Index" "MSE_mean" "FP_mean" "FN_mean" "OOB_mean" +50 50 1 0 "1.31 ( 0.06 )" "1 ( 0 )" "6 ( 0 )" "2.09 ( 0.02 )" 0 "NaN" 1 1.31 1 6 2.09 +100 50 0.5 0.18 "0.85 ( 0.02 )" "1.85 ( 0.11 )" "4.11 ( 0.1 )" "1.79 ( 0.01 )" 3.74 "0.48" 2 0.85 1.85 4.11 1.79 +500 50 0.1 0.8 "0.47 ( 0.01 )" "0.3 ( 0.05 )" "1.61 ( 0.08 )" "1.31 ( 0 )" 4.69 "0.05" 3 0.47 0.3 1.61 1.31 +1000 50 0.05 0.88 "0.35 ( 0 )" "0.07 ( 0.03 )" "0.78 ( 0.07 )" "1.17 ( 0 )" 5.29 "0.01" 4 0.35 0.07 0.78 1.17 +50 100 2 0 "1.32 ( 0.05 )" "1 ( 0 )" "6 ( 0 )" "2.23 ( 0.02 )" 0 "NaN" 5 1.32 1 6 2.23 +100 100 1 0.08 "0.91 ( 0.03 )" "4.33 ( 0.22 )" "4.45 ( 0.09 )" "2.02 ( 0.01 )" 5.88 "0.72" 6 0.91 4.33 4.45 2.02 +500 100 0.2 0.6 "0.59 ( 0.01 )" "1.91 ( 0.15 )" "1.41 ( 0.07 )" "1.54 ( 0 )" 6.5 "0.27" 7 0.59 1.91 1.41 1.54 +1000 100 0.1 0.81 "0.47 ( 0 )" "0.71 ( 0.09 )" "0.53 ( 0.06 )" "1.39 ( 0 )" 6.18 "0.1" 8 0.47 0.71 0.53 1.39 +50 500 10 0 "1.33 ( 0.05 )" "1 ( 0 )" "6 ( 0 )" "2.48 ( 0.03 )" 0 "NaN" 9 1.33 1 6 2.48 +100 500 5 0.02 "1.07 ( 0.03 )" "23.8 ( 0.52 )" "4.26 ( 0.1 )" "2.43 ( 0.02 )" 25.54 "0.93" 10 1.07 23.8 4.26 2.43 +500 500 1 0.14 "0.84 ( 0.01 )" "19.92 ( 0.41 )" "1.71 ( 0.08 )" "2.14 ( 0.01 )" 24.21 "0.82" 11 0.84 19.9 1.71 2.14 +1000 500 0.5 0.19 "0.78 ( 0.01 )" "18.73 ( 0.42 )" "0.84 ( 0.06 )" "2.06 ( 0 )" 23.89 "0.78" 12 0.78 18.7 0.84 2.06 +50 1000 20 0 "1.31 ( 0.05 )" "1 ( 0 )" "6 ( 0 )" "2.48 ( 0.03 )" 0 "NaN" 13 1.31 1 6 2.48 +100 1000 10 0.01 "1.06 ( 0.03 )" "48.48 ( 0.63 )" "4.33 ( 0.1 )" "2.43 ( 0.02 )" 50.15 "0.97" 14 1.06 48.4 4.33 2.43 +500 1000 2 0.06 "0.89 ( 0.01 )" "44.77 ( 0.71 )" "1.81 ( 0.1 )" "2.3 ( 0.01 )" 48.96 "0.91" 15 0.89 44.7 1.81 2.3 +1000 1000 1 0.09 "0.85 ( 0.01 )" "41.77 ( 0.68 )" "0.99 ( 0.07 )" "2.25 ( 0.01 )" 46.78 "0.89" 16 0.85 41.7 0.99 2.25 diff --git a/simulations/results_summary/sim_ind_rf_jnt.txt b/simulations/results_summary/sim_ind_rf_jnt.txt new file mode 100644 index 0000000..e99e49b --- /dev/null +++ b/simulations/results_summary/sim_ind_rf_jnt.txt @@ -0,0 +1,17 @@ +N P Ratio Stab MSE FP FN OOB num_select Index MSE_mean FP_mean FN_mean OOB_mean +50 50 1 0.02 4.3 ( 0.2 ) 2.41 ( 0.21 ) 5.22 ( 0.09 ) 2.08 ( 0.02 ) 3.05 1 4.3 2.41 5.22 2.08 +100 50 0.5 0.18 3.22 ( 0.11 ) 2.63 ( 0.21 ) 3.84 ( 0.11 ) 1.78 ( 0.01 ) 4.77 2 3.22 2.63 3.84 1.78 +500 50 0.1 0.49 1.94 ( 0.03 ) 3.08 ( 0.27 ) 1.07 ( 0.08 ) 1.31 ( 0 ) 8.01 3 1.94 3.08 1.07 1.31 +1000 50 0.05 0.57 1.53 ( 0.01 ) 3.26 ( 0.26 ) 0.2 ( 0.04 ) 1.17 ( 0 ) 9.06 4 1.53 3.26 0.2 1.17 +50 100 2 0.01 4.04 ( 0.19 ) 5.04 ( 0.36 ) 5.31 ( 0.08 ) 2.23 ( 0.02 ) 5.71 5 4.04 5.04 5.31 2.23 +100 100 1 0.1 3.38 ( 0.11 ) 4.66 ( 0.29 ) 4.09 ( 0.1 ) 2.02 ( 0.01 ) 6.57 6 3.38 4.66 4.09 2.02 +500 100 0.2 0.34 2.65 ( 0.03 ) 6.53 ( 0.38 ) 1.08 ( 0.07 ) 1.54 ( 0 ) 11.45 7 2.65 6.53 1.08 1.54 +1000 100 0.1 0.4 2.31 ( 0.02 ) 6.77 ( 0.39 ) 0.27 ( 0.05 ) 1.39 ( 0 ) 12.5 8 2.31 6.77 0.27 1.39 +50 500 10 0.03 4.02 ( 0.2 ) 26.76 ( 0.75 ) 4.84 ( 0.09 ) 2.47 ( 0.03 ) 27.92 9 4.02 26.7 4.84 2.47 +100 500 5 0.02 3.9 ( 0.13 ) 26.32 ( 0.91 ) 4.5 ( 0.08 ) 2.42 ( 0.02 ) 27.82 10 3.9 26.3 4.5 2.42 +500 500 1 0.11 3.68 ( 0.05 ) 28.84 ( 1 ) 1.5 ( 0.07 ) 2.14 ( 0.01 ) 33.34 11 3.68 28.8 1.5 2.14 +1000 500 0.5 0.12 3.69 ( 0.03 ) 34.08 ( 1.34 ) 0.49 ( 0.06 ) 2.06 ( 0 ) 39.59 12 3.69 34 0.49 2.06 +50 1000 20 0.04 4.04 ( 0.2 ) 48.82 ( 1.04 ) 5.29 ( 0.07 ) 2.46 ( 0.03 ) 49.53 13 4.04 48.8 5.29 2.46 +100 1000 10 0.02 3.8 ( 0.12 ) 52.42 ( 1.4 ) 4.72 ( 0.08 ) 2.42 ( 0.02 ) 53.7 14 3.8 52.4 4.72 2.42 +500 1000 2 0.06 3.93 ( 0.06 ) 57.58 ( 1.72 ) 1.57 ( 0.08 ) 2.3 ( 0.01 ) 62.01 15 3.93 57.5 1.57 2.3 +1000 1000 1 0.07 3.93 ( 0.04 ) 62 ( 1.83 ) 0.68 ( 0.06 ) 2.25 ( 0 ) 67.32 16 3.93 NA 0.68 2.25 \ No newline at end of file diff --git a/simulations/results_summary/sim_toe_compLasso.txt b/simulations/results_summary/sim_toe_compLasso.txt new file mode 100644 index 0000000..8394de1 --- /dev/null +++ b/simulations/results_summary/sim_toe_compLasso.txt @@ -0,0 +1,81 @@ +"N" "P" "Corr" "Ratio" "Stab" "MSE" "FP" "FN" "num_select" "FDR" "MSE_mean" "FP_mean" "FN_mean" +50 50 "0.1" 1 0.56 "0.88 ( 0.05 )" "3.68 ( 0.29 )" "0.06 ( 0.03 )" 9.62 "0.33" 0.88 3.68 0.06 +100 50 "0.1" 0.5 0.77 "0.87 ( 0.05 )" "1.51 ( 0.35 )" "0 ( 0 )" 7.51 "0.12" 0.87 1.51 0 +500 50 "0.1" 0.1 0.88 "0.99 ( 0.05 )" "0.73 ( 0.19 )" "0 ( 0 )" 6.73 "0.07" 0.99 0.73 0 +1000 50 "0.1" 0.05 0.9 "1.09 ( 0.04 )" "0.55 ( 0.17 )" "0 ( 0 )" 6.55 "0.05" 1.09 0.55 0 +50 100 "0.1" 2 0.53 "1.12 ( 0.1 )" "4.24 ( 0.3 )" "0.23 ( 0.06 )" 10.01 "0.37" 1.12 4.24 0.23 +100 100 "0.1" 1 0.79 "0.85 ( 0.04 )" "1.51 ( 0.34 )" "0 ( 0 )" 7.51 "0.13" 0.85 1.51 0 +500 100 "0.1" 0.2 0.95 "1.13 ( 0.04 )" "0.29 ( 0.09 )" "0 ( 0 )" 6.29 "0.03" 1.13 0.29 0 +1000 100 "0.1" 0.1 0.93 "1.03 ( 0.04 )" "0.42 ( 0.12 )" "0 ( 0 )" 6.42 "0.05" 1.03 0.42 0 +50 500 "0.1" 10 0.36 "2.54 ( 0.18 )" "5.13 ( 0.35 )" "1.78 ( 0.12 )" 9.35 "0.48" 2.54 5.13 1.78 +100 500 "0.1" 5 0.71 "0.98 ( 0.04 )" "2.4 ( 0.35 )" "0 ( 0 )" 8.4 "0.21" 0.98 2.4 0 +500 500 "0.1" 1 0.96 "1.1 ( 0.04 )" "0.25 ( 0.08 )" "0 ( 0 )" 6.25 "0.03" 1.1 0.25 0 +1000 500 "0.1" 0.5 0.96 "1.18 ( 0.04 )" "0.24 ( 0.08 )" "0 ( 0 )" 6.24 "0.03" 1.18 0.24 0 +50 1000 "0.1" 20 0.29 "3.37 ( 0.2 )" "4.59 ( 0.36 )" "2.63 ( 0.15 )" 7.96 "0.5" 3.37 4.59 2.63 +100 1000 "0.1" 10 0.61 "1.03 ( 0.04 )" "3.82 ( 0.46 )" "0.01 ( 0.01 )" 9.81 "0.29" 1.03 3.82 0.01 +500 1000 "0.1" 2 0.96 "1.1 ( 0.03 )" "0.24 ( 0.1 )" "0 ( 0 )" 6.24 "0.03" 1.1 0.24 0 +1000 1000 "0.1" 1 0.97 "1.16 ( 0.03 )" "0.16 ( 0.06 )" "0 ( 0 )" 6.16 "0.02" 1.16 0.16 0 +50 50 "0.3" 1 0.5 "0.76 ( 0.05 )" "4.6 ( 0.27 )" "0.07 ( 0.03 )" 10.53 "0.4" 0.76 4.6 0.07 +100 50 "0.3" 0.5 0.75 "0.7 ( 0.04 )" "1.65 ( 0.28 )" "0 ( 0 )" 7.65 "0.16" 0.7 1.65 0 +500 50 "0.3" 0.1 0.93 "0.92 ( 0.04 )" "0.39 ( 0.12 )" "0 ( 0 )" 6.39 "0.04" 0.92 0.39 0 +1000 50 "0.3" 0.05 0.93 "0.92 ( 0.03 )" "0.38 ( 0.1 )" "0 ( 0 )" 6.38 "0.04" 0.92 0.38 0 +50 100 "0.3" 2 0.43 "1.12 ( 0.07 )" "5.19 ( 0.3 )" "0.63 ( 0.09 )" 10.56 "0.44" 1.12 5.19 0.63 +100 100 "0.3" 1 0.7 "0.73 ( 0.04 )" "2.38 ( 0.32 )" "0 ( 0 )" 8.38 "0.22" 0.73 2.38 0 +500 100 "0.3" 0.2 0.87 "0.82 ( 0.04 )" "0.84 ( 0.2 )" "0 ( 0 )" 6.84 "0.08" 0.82 0.84 0 +1000 100 "0.3" 0.1 0.93 "0.87 ( 0.04 )" "0.41 ( 0.08 )" "0 ( 0 )" 6.41 "0.05" 0.87 0.41 0 +50 500 "0.3" 10 0.29 "2.5 ( 0.14 )" "5.62 ( 0.34 )" "2.39 ( 0.12 )" 9.23 "0.55" 2.5 5.62 2.39 +100 500 "0.3" 5 0.52 "0.84 ( 0.04 )" "5.23 ( 0.57 )" "0.06 ( 0.02 )" 11.17 "0.37" 0.84 5.23 0.06 +500 500 "0.3" 1 0.96 "0.93 ( 0.03 )" "0.25 ( 0.08 )" "0 ( 0 )" 6.25 "0.03" 0.93 0.25 0 +1000 500 "0.3" 0.5 0.94 "0.9 ( 0.03 )" "0.38 ( 0.1 )" "0 ( 0 )" 6.38 "0.04" 0.9 0.38 0 +50 1000 "0.3" 20 0.28 "2.99 ( 0.17 )" "4.75 ( 0.36 )" "3 ( 0.13 )" 7.75 "0.53" 2.99 4.75 0 +100 1000 "0.3" 10 0.46 "0.93 ( 0.04 )" "6.63 ( 0.6 )" "0.1 ( 0.03 )" 12.53 "0.43" 0.93 6.63 0.1 +500 1000 "0.3" 2 0.96 "0.89 ( 0.03 )" "0.28 ( 0.09 )" "0 ( 0 )" 6.28 "0.03" 0.89 0.28 0 +1000 1000 "0.3" 1 0.95 "0.93 ( 0.03 )" "0.29 ( 0.09 )" "0 ( 0 )" 6.29 "0.03" 0.93 0.29 0 +50 50 "0.5" 1 0.44 "0.72 ( 0.05 )" "5.25 ( 0.31 )" "0.24 ( 0.06 )" 11.01 "0.43" 0.72 5.25 0.24 +100 50 "0.5" 0.5 0.62 "0.55 ( 0.02 )" "2.98 ( 0.3 )" "0 ( 0 )" 8.98 "0.27" 0.55 2.98 0 +500 50 "0.5" 0.1 0.9 "0.62 ( 0.02 )" "0.57 ( 0.13 )" "0 ( 0 )" 6.57 "0.06" 0.62 0.57 0 +1000 50 "0.5" 0.05 0.93 "0.67 ( 0.02 )" "0.39 ( 0.12 )" "0 ( 0 )" 6.39 "0.04" 0.67 0.39 0 +50 100 "0.5" 2 0.37 "1.15 ( 0.07 )" "5.35 ( 0.36 )" "1.25 ( 0.11 )" 10.1 "0.45" 1.15 5.35 1.25 +100 100 "0.5" 1 0.59 "0.68 ( 0.03 )" "3.57 ( 0.36 )" "0.06 ( 0.02 )" 9.51 "0.31" 0.68 3.57 0.06 +500 100 "0.5" 0.2 0.94 "0.68 ( 0.02 )" "0.34 ( 0.1 )" "0 ( 0 )" 6.34 "0.04" 0.68 0.34 0 +1000 100 "0.5" 0.1 0.95 "0.71 ( 0.02 )" "0.27 ( 0.09 )" "0 ( 0 )" 6.27 "0.03" 0.71 0.27 0 +50 500 "0.5" 10 0.29 "2.28 ( 0.14 )" "5.5 ( 0.38 )" "2.81 ( 0.1 )" 8.69 "0.55" 2.28 5.5 2.81 +100 500 "0.5" 5 0.38 "0.82 ( 0.04 )" "8.32 ( 0.64 )" "0.38 ( 0.07 )" 13.94 "0.51" 0.82 8.32 0.38 +500 500 "0.5" 1 0.93 "0.67 ( 0.02 )" "0.45 ( 0.12 )" "0 ( 0 )" 6.45 "0.05" 0.67 0.45 0 +1000 500 "0.5" 0.5 0.94 "0.69 ( 0.02 )" "0.35 ( 0.1 )" "0 ( 0 )" 6.35 "0.04" 0.69 0.35 0 +50 1000 "0.5" 20 0.23 "2.44 ( 0.13 )" "5.82 ( 0.36 )" "3.37 ( 0.1 )" 8.45 "0.63" 2.44 5.82 3.37 +100 1000 "0.5" 10 0.3 "0.96 ( 0.05 )" "10.94 ( 0.72 )" "0.61 ( 0.1 )" 16.33 "0.59" 0.96 10.9 0.61 +500 1000 "0.5" 2 0.96 "0.7 ( 0.02 )" "0.22 ( 0.06 )" "0 ( 0 )" 6.22 "0.03" 0.7 0.22 0 +1000 1000 "0.5" 1 0.95 "0.71 ( 0.02 )" "0.33 ( 0.13 )" "0 ( 0 )" 6.33 "0.03" 0.71 0.33 0 +50 50 "0.7" 1 0.36 "0.76 ( 0.05 )" "5.83 ( 0.31 )" "0.81 ( 0.1 )" 11.02 "0.48" 0.76 5.83 0.81 +100 50 "0.7" 0.5 0.48 "0.43 ( 0.02 )" "4.89 ( 0.38 )" "0.08 ( 0.03 )" 10.81 "0.4" 0.43 4.89 0.08 +500 50 "0.7" 0.1 0.81 "0.44 ( 0.01 )" "1.23 ( 0.22 )" "0 ( 0 )" 7.23 "0.12" 0.44 1.23 0 +1000 50 "0.7" 0.05 0.88 "0.45 ( 0.01 )" "0.74 ( 0.13 )" "0 ( 0 )" 6.74 "0.09" 0.45 0.74 0 +50 100 "0.7" 2 0.31 "0.99 ( 0.06 )" "5.89 ( 0.36 )" "1.88 ( 0.11 )" 10.01 "0.53" 0.99 5.89 1.88 +100 100 "0.7" 1 0.41 "0.48 ( 0.02 )" "6.91 ( 0.55 )" "0.22 ( 0.05 )" 12.69 "0.47" 0.48 6.91 0.22 +500 100 "0.7" 0.2 0.82 "0.45 ( 0.01 )" "1.24 ( 0.19 )" "0 ( 0 )" 7.24 "0.13" 0.45 1.24 0 +1000 100 "0.7" 0.1 0.92 "0.48 ( 0.01 )" "0.5 ( 0.14 )" "0 ( 0 )" 6.5 "0.05" 0.48 0.5 0 +50 500 "0.7" 10 0.27 "1.81 ( 0.09 )" "5.27 ( 0.39 )" "3.43 ( 0.09 )" 7.84 "0.56" 1.81 5.27 3.43 +100 500 "0.7" 5 0.27 "0.85 ( 0.05 )" "9.56 ( 0.73 )" "1.42 ( 0.12 )" 14.14 "0.59" 0.85 9.56 1.42 +500 500 "0.7" 1 0.74 "0.46 ( 0.01 )" "2.11 ( 0.26 )" "0 ( 0 )" 8.11 "0.2" 0.46 2.11 0 +1000 500 "0.7" 0.5 0.87 "0.46 ( 0.01 )" "0.93 ( 0.16 )" "0 ( 0 )" 6.93 "0.1" 0.46 0.93 0 +50 1000 "0.7" 20 0.21 "1.81 ( 0.08 )" "6.05 ( 0.39 )" "3.58 ( 0.1 )" 8.47 "0.64" 1.81 6.05 3.58 +100 1000 "0.7" 10 0.27 "1.1 ( 0.06 )" "8.36 ( 0.68 )" "2.1 ( 0.09 )" 12.26 "0.58" 1.1 8.36 2.1 +500 1000 "0.7" 2 0.69 "0.47 ( 0.01 )" "2.72 ( 0.33 )" "0 ( 0 )" 8.72 "0.24" 0.47 2.72 0 +1000 1000 "0.7" 1 0.91 "0.5 ( 0.01 )" "0.57 ( 0.16 )" "0 ( 0 )" 6.57 "0.06" 0.5 0.57 0 +50 50 "0.9" 1 0.32 "0.54 ( 0.03 )" "4.91 ( 0.32 )" "1.96 ( 0.11 )" 8.95 "0.49" 0.54 4.91 1.96 +100 50 "0.9" 0.5 0.35 "0.41 ( 0.02 )" "5.64 ( 0.41 )" "0.96 ( 0.11 )" 10.68 "0.46" 0.41 5.64 0.96 +500 50 "0.9" 0.1 0.67 "0.31 ( 0.01 )" "2.66 ( 0.22 )" "0.01 ( 0.01 )" 8.65 "0.27" 0.31 2.66 0.01 +1000 50 "0.9" 0.05 0.71 "0.3 ( 0 )" "2.18 ( 0.19 )" "0 ( 0 )" 8.18 "0.23" 0.3 2.18 0 +50 100 "0.9" 2 0.31 "0.66 ( 0.04 )" "4.9 ( 0.33 )" "2.83 ( 0.09 )" 8.07 "0.54" 0.66 4.9 2.83 +100 100 "0.9" 1 0.32 "0.47 ( 0.02 )" "6.56 ( 0.48 )" "1.45 ( 0.11 )" 11.11 "0.52" 0.47 6.56 1.45 +500 100 "0.9" 0.2 0.59 "0.32 ( 0.01 )" "4.04 ( 0.34 )" "0.01 ( 0.01 )" 10.03 "0.35" 0.32 4.04 0.01 +1000 100 "0.9" 0.1 0.67 "0.3 ( 0 )" "2.85 ( 0.24 )" "0 ( 0 )" 8.85 "0.28" 0.3 2.85 0 +50 500 "0.9" 10 0.23 "0.89 ( 0.05 )" "5.88 ( 0.44 )" "3.74 ( 0.07 )" 8.14 "0.62" 0.89 5.88 3.74 +100 500 "0.9" 5 0.24 "0.6 ( 0.02 )" "8.59 ( 0.65 )" "2.63 ( 0.08 )" 11.96 "0.64" 0.6 8.59 2.63 +500 500 "0.9" 1 0.41 "0.34 ( 0.01 )" "8.17 ( 0.48 )" "0.17 ( 0.04 )" 14 "0.54" 0.34 8.17 0.17 +1000 500 "0.9" 0.5 0.58 "0.32 ( 0 )" "4.24 ( 0.3 )" "0.01 ( 0.01 )" 10.23 "0.37" 0.32 4.24 0.01 +50 1000 "0.9" 20 0.19 "1.04 ( 0.06 )" "5.24 ( 0.46 )" "4.23 ( 0.08 )" 7.01 "0.6" 1.04 5.24 4.23 +100 1000 "0.9" 10 0.22 "0.67 ( 0.02 )" "9.03 ( 0.73 )" "3.02 ( 0.07 )" 12.01 "0.66" 0.67 9.03 3.02 +500 1000 "0.9" 2 0.34 "0.35 ( 0.01 )" "10.52 ( 0.68 )" "0.32 ( 0.05 )" 16.2 "0.59" 0.35 10.5 0.32 +1000 1000 "0.9" 1 0.57 "0.33 ( 0 )" "4.48 ( 0.3 )" "0.01 ( 0.01 )" 10.47 "0.39" 0.33 4.48 0.01 diff --git a/simulations/results_summary/sim_toe_elnet.txt b/simulations/results_summary/sim_toe_elnet.txt new file mode 100644 index 0000000..0fa8cef --- /dev/null +++ b/simulations/results_summary/sim_toe_elnet.txt @@ -0,0 +1,81 @@ +"N" "P" "Corr" "Ratio" "Stab" "MSE" "FP" "FN" "num_select" "FDR" "MSE_mean" "FP_mean" "FN_mean" +50 50 "0.1" 1 0.21 "0.6 ( 0.03 )" "14.72 ( 0.57 )" "0.01 ( 0.01 )" 19.71 "0.67" 0.6 14.7 0.01 +100 50 "0.1" 0.5 0.23 "0.34 ( 0.01 )" "13.7 ( 0.66 )" "0 ( 0 )" 18.7 "0.64" 0.34 13.7 0 +500 50 "0.1" 0.1 0.23 "0.26 ( 0 )" "13.59 ( 0.55 )" "0 ( 0 )" 18.59 "0.65" 0.26 13.5 0 +1000 50 "0.1" 0.05 0.25 "0.26 ( 0 )" "12.64 ( 0.54 )" "0 ( 0 )" 17.64 "0.63" 0.26 12.6 0 +50 100 "0.1" 2 0.2 "0.69 ( 0.05 )" "19.33 ( 0.67 )" "0 ( 0 )" 24.33 "0.73" 0.69 19.3 0 +100 100 "0.1" 1 0.22 "0.38 ( 0.01 )" "17.77 ( 0.8 )" "0 ( 0 )" 22.77 "0.7" 0.38 17.7 0 +500 100 "0.1" 0.2 0.21 "0.26 ( 0 )" "18.57 ( 0.83 )" "0 ( 0 )" 23.57 "0.71" 0.26 18.5 0 +1000 100 "0.1" 0.1 0.22 "0.26 ( 0 )" "17.23 ( 0.72 )" "0 ( 0 )" 22.23 "0.7" 0.26 17.2 0 +50 500 "0.1" 10 0.13 "1.74 ( 0.11 )" "29.67 ( 1.23 )" "0.63 ( 0.07 )" 34.04 "0.83" 1.74 29.6 0.63 +100 500 "0.1" 5 0.16 "0.51 ( 0.02 )" "30.41 ( 1.35 )" "0 ( 0 )" 35.41 "0.81" 0.51 30.4 0 +500 500 "0.1" 1 0.16 "0.27 ( 0 )" "29.38 ( 1.53 )" "0 ( 0 )" 34.38 "0.79" 0.27 29.3 0 +1000 500 "0.1" 0.5 0.18 "0.27 ( 0 )" "26.73 ( 1.56 )" "0 ( 0 )" 31.73 "0.77" 0.27 26.7 0 +50 1000 "0.1" 20 0.09 "2.5 ( 0.16 )" "39.01 ( 2.7 )" "1.34 ( 0.1 )" 42.67 "0.87" 2.5 39 1.34 +100 1000 "0.1" 10 0.13 "0.57 ( 0.03 )" "39.81 ( 1.68 )" "0 ( 0 )" 44.81 "0.85" 0.57 39.8 0 +500 1000 "0.1" 2 0.14 "0.27 ( 0 )" "37.88 ( 2.19 )" "0 ( 0 )" 42.88 "0.82" 0.27 37.8 0 +1000 1000 "0.1" 1 0.16 "0.26 ( 0 )" "31.4 ( 1.69 )" "0 ( 0 )" 36.4 "0.8" 0.26 31.4 0 +50 50 "0.3" 1 0.21 "0.53 ( 0.03 )" "14.65 ( 0.58 )" "0.03 ( 0.02 )" 19.62 "0.67" 0.53 14.6 0.03 +100 50 "0.3" 0.5 0.2 "0.34 ( 0.01 )" "14.91 ( 0.58 )" "0 ( 0 )" 19.91 "0.67" 0.34 14.9 0 +500 50 "0.3" 0.1 0.23 "0.27 ( 0 )" "13.94 ( 0.57 )" "0 ( 0 )" 18.94 "0.65" 0.27 13.9 0 +1000 50 "0.3" 0.05 0.27 "0.26 ( 0 )" "11.94 ( 0.43 )" "0 ( 0 )" 16.94 "0.62" 0.26 11.9 0 +50 100 "0.3" 2 0.19 "0.72 ( 0.04 )" "19.67 ( 0.66 )" "0.08 ( 0.03 )" 24.59 "0.74" 0.72 19.6 0.08 +100 100 "0.3" 1 0.19 "0.38 ( 0.01 )" "20.48 ( 0.85 )" "0 ( 0 )" 25.48 "0.74" 0.38 20.4 0 +500 100 "0.3" 0.2 0.2 "0.26 ( 0 )" "19.3 ( 0.93 )" "0 ( 0 )" 24.3 "0.72" 0.26 19.3 0 +1000 100 "0.3" 0.1 0.2 "0.26 ( 0 )" "19 ( 0.86 )" "0 ( 0 )" 24 "0.71" 0.26 19 0 +50 500 "0.3" 10 0.1 "1.94 ( 0.12 )" "32.52 ( 1.94 )" "1.33 ( 0.1 )" 36.19 "0.85" 1.94 32.5 1.33 +100 500 "0.3" 5 0.14 "0.51 ( 0.02 )" "34.04 ( 1.37 )" "0.01 ( 0.01 )" 39.03 "0.83" 0.51 34 0.01 +500 500 "0.3" 1 0.16 "0.28 ( 0 )" "30.92 ( 1.44 )" "0 ( 0 )" 35.92 "0.8" 0.28 30.9 0 +1000 500 "0.3" 0.5 0.16 "0.26 ( 0 )" "30.61 ( 1.55 )" "0 ( 0 )" 35.61 "0.79" 0.26 30.6 0 +50 1000 "0.3" 20 0.08 "2.46 ( 0.17 )" "35.99 ( 1.99 )" "1.83 ( 0.1 )" 39.16 "0.88" 2.46 35.9 1.83 +100 1000 "0.3" 10 0.12 "0.6 ( 0.03 )" "43.92 ( 1.49 )" "0.01 ( 0.01 )" 48.91 "0.86" 0.6 43.9 0.01 +500 1000 "0.3" 2 0.13 "0.28 ( 0 )" "38.46 ( 2.16 )" "0 ( 0 )" 43.46 "0.84" 0.28 38.4 0 +1000 1000 "0.3" 1 0.13 "0.27 ( 0 )" "38.29 ( 2.09 )" "0 ( 0 )" 43.29 "0.83" 0.27 38.2 0 +50 50 "0.5" 1 0.2 "0.57 ( 0.04 )" "14.64 ( 0.66 )" "0.09 ( 0.03 )" 19.55 "0.66" 0.57 14.6 0.09 +100 50 "0.5" 0.5 0.21 "0.33 ( 0.01 )" "14.76 ( 0.55 )" "0 ( 0 )" 19.76 "0.67" 0.33 14.7 0 +500 50 "0.5" 0.1 0.23 "0.26 ( 0 )" "13.76 ( 0.51 )" "0 ( 0 )" 18.76 "0.66" 0.26 13.7 0 +1000 50 "0.5" 0.05 0.23 "0.26 ( 0 )" "13.4 ( 0.49 )" "0 ( 0 )" 18.4 "0.65" 0.26 13.4 0 +50 100 "0.5" 2 0.17 "0.8 ( 0.04 )" "20.05 ( 0.68 )" "0.34 ( 0.06 )" 24.71 "0.75" 0.8 20 0.34 +100 100 "0.5" 1 0.17 "0.41 ( 0.02 )" "21.92 ( 0.83 )" "0 ( 0 )" 26.92 "0.76" 0.41 21.9 0 +500 100 "0.5" 0.2 0.2 "0.27 ( 0 )" "18.97 ( 0.78 )" "0 ( 0 )" 23.97 "0.72" 0.27 18.9 0 +1000 100 "0.5" 0.1 0.2 "0.26 ( 0 )" "19.53 ( 0.66 )" "0 ( 0 )" 24.53 "0.74" 0.26 19.5 0 +50 500 "0.5" 10 0.09 "1.86 ( 0.11 )" "29.92 ( 1.25 )" "1.88 ( 0.1 )" 33.04 "0.86" 1.86 29.9 1.88 +100 500 "0.5" 5 0.13 "0.59 ( 0.02 )" "37.33 ( 1.25 )" "0.07 ( 0.03 )" 42.26 "0.85" 0.59 37.3 0.07 +500 500 "0.5" 1 0.13 "0.28 ( 0 )" "37.1 ( 1.54 )" "0 ( 0 )" 42.1 "0.83" 0.28 37.1 0 +1000 500 "0.5" 0.5 0.13 "0.27 ( 0 )" "36.71 ( 1.5 )" "0 ( 0 )" 41.71 "0.83" 0.27 36.7 0 +50 1000 "0.5" 20 0.07 "2.33 ( 0.14 )" "35.29 ( 1.69 )" "2.53 ( 0.1 )" 37.76 "0.9" 2.33 35.2 2.53 +100 1000 "0.5" 10 0.11 "0.73 ( 0.03 )" "44.83 ( 1.58 )" "0.18 ( 0.05 )" 49.65 "0.87" 0.73 44.8 0.18 +500 1000 "0.5" 2 0.12 "0.29 ( 0 )" "42.86 ( 2.28 )" "0 ( 0 )" 47.86 "0.85" 0.29 42.8 0 +1000 1000 "0.5" 1 0.13 "0.27 ( 0 )" "41.01 ( 1.99 )" "0 ( 0 )" 46.01 "0.84" 0.27 41 0 +50 50 "0.7" 1 0.18 "0.6 ( 0.04 )" "15.25 ( 0.54 )" "0.25 ( 0.05 )" 20 "0.69" 0.6 15.2 0.25 +100 50 "0.7" 0.5 0.2 "0.35 ( 0.01 )" "15.66 ( 0.62 )" "0 ( 0 )" 20.66 "0.69" 0.35 15.6 0 +500 50 "0.7" 0.1 0.24 "0.26 ( 0 )" "13.41 ( 0.46 )" "0 ( 0 )" 18.41 "0.65" 0.26 13.4 0 +1000 50 "0.7" 0.05 0.26 "0.26 ( 0 )" "12.18 ( 0.6 )" "0 ( 0 )" 17.18 "0.61" 0.26 12.1 0 +50 100 "0.7" 2 0.15 "0.81 ( 0.04 )" "19.25 ( 0.81 )" "0.79 ( 0.09 )" 23.46 "0.75" 0.81 19.2 0.79 +100 100 "0.7" 1 0.18 "0.36 ( 0.01 )" "21.79 ( 0.78 )" "0.01 ( 0.01 )" 26.78 "0.76" 0.36 21.7 0.01 +500 100 "0.7" 0.2 0.18 "0.27 ( 0 )" "21.43 ( 0.75 )" "0 ( 0 )" 26.43 "0.75" 0.27 21.4 0 +1000 100 "0.7" 0.1 0.21 "0.26 ( 0 )" "18.91 ( 0.6 )" "0 ( 0 )" 23.91 "0.73" 0.26 18.9 0 +50 500 "0.7" 10 0.09 "1.48 ( 0.09 )" "27.19 ( 0.95 )" "2.71 ( 0.08 )" 29.48 "0.88" 1.48 27.1 2.71 +100 500 "0.7" 5 0.11 "0.6 ( 0.02 )" "37.9 ( 1.54 )" "0.51 ( 0.07 )" 42.39 "0.86" 0.6 37.9 0.51 +500 500 "0.7" 1 0.13 "0.29 ( 0 )" "38.11 ( 1.41 )" "0 ( 0 )" 43.11 "0.84" 0.29 38.1 0 +1000 500 "0.7" 0.5 0.13 "0.27 ( 0 )" "38.16 ( 1.26 )" "0 ( 0 )" 43.16 "0.85" 0.27 38.1 0 +50 1000 "0.7" 20 0.06 "1.66 ( 0.09 )" "35.91 ( 1.86 )" "3.03 ( 0.09 )" 37.88 "0.91" 1.66 35.9 3.03 +100 1000 "0.7" 10 0.09 "0.78 ( 0.04 )" "39.69 ( 1.62 )" "1.11 ( 0.1 )" 43.58 "0.88" 0.78 39.6 1.11 +500 1000 "0.7" 2 0.11 "0.3 ( 0 )" "49.45 ( 1.98 )" "0 ( 0 )" 54.45 "0.87" 0.3 49.4 0 +1000 1000 "0.7" 1 0.11 "0.27 ( 0 )" "48.15 ( 1.76 )" "0 ( 0 )" 53.15 "0.87" 0.27 48.1 0 +50 50 "0.9" 1 0.16 "0.5 ( 0.02 )" "13.26 ( 0.77 )" "1.03 ( 0.11 )" 17.23 "0.66" 0.5 13.2 1.03 +100 50 "0.9" 0.5 0.21 "0.35 ( 0.01 )" "14 ( 0.69 )" "0.27 ( 0.06 )" 18.73 "0.66" 0.35 14 0.27 +500 50 "0.9" 0.1 0.29 "0.27 ( 0 )" "11.63 ( 0.41 )" "0 ( 0 )" 16.63 "0.62" 0.27 11.6 0 +1000 50 "0.9" 0.05 0.29 "0.26 ( 0 )" "12.06 ( 0.52 )" "0 ( 0 )" 17.06 "0.62" 0.26 12 0 +50 100 "0.9" 2 0.15 "0.56 ( 0.03 )" "15.35 ( 0.8 )" "1.83 ( 0.12 )" 18.52 "0.75" 0.56 15.3 1.83 +100 100 "0.9" 1 0.18 "0.4 ( 0.02 )" "18.69 ( 0.92 )" "0.41 ( 0.07 )" 23.28 "0.73" 0.4 18.6 0.41 +500 100 "0.9" 0.2 0.23 "0.27 ( 0 )" "17.36 ( 0.62 )" "0 ( 0 )" 22.36 "0.71" 0.27 17.3 0 +1000 100 "0.9" 0.1 0.26 "0.26 ( 0 )" "16.05 ( 0.62 )" "0 ( 0 )" 21.05 "0.69" 0.26 16 0 +50 500 "0.9" 10 0.08 "0.88 ( 0.04 )" "25.11 ( 1.93 )" "3.23 ( 0.08 )" 26.88 "0.87" 0.88 25.1 3.23 +100 500 "0.9" 5 0.1 "0.53 ( 0.02 )" "27.99 ( 1.26 )" "2.15 ( 0.1 )" 30.84 "0.86" 0.53 27.9 2.15 +500 500 "0.9" 1 0.12 "0.29 ( 0 )" "41.14 ( 1.02 )" "0 ( 0 )" 46.14 "0.86" 0.29 41.1 0 +1000 500 "0.9" 0.5 0.13 "0.27 ( 0 )" "39.21 ( 0.84 )" "0 ( 0 )" 44.21 "0.86" 0.27 39.2 0 +50 1000 "0.9" 20 0.04 "0.94 ( 0.05 )" "36.59 ( 3.6 )" "3.72 ( 0.08 )" 37.87 "0.92" 0.94 36.5 3.72 +100 1000 "0.9" 10 0.09 "0.59 ( 0.02 )" "32.05 ( 1.85 )" "2.59 ( 0.06 )" 34.46 "0.88" 0.59 32 2.59 +500 1000 "0.9" 2 0.09 "0.3 ( 0 )" "57.69 ( 1.57 )" "0 ( 0 )" 62.69 "0.9" 0.3 57.6 0 +1000 1000 "0.9" 1 0.1 "0.27 ( 0 )" "52.35 ( 1.6 )" "0 ( 0 )" 57.35 "0.89" 0.27 52.3 0 diff --git a/simulations/results_summary/sim_toe_lasso.txt b/simulations/results_summary/sim_toe_lasso.txt new file mode 100644 index 0000000..58c3971 --- /dev/null +++ b/simulations/results_summary/sim_toe_lasso.txt @@ -0,0 +1,81 @@ +"N" "P" "Corr" "Ratio" "Stab" "MSE" "FP" "FN" "num_select" "FDR" "MSE_mean" "FP_mean" "FN_mean" +50 50 "0.1" 1 0.36 "0.62 ( 0.04 )" "8.59 ( 0.46 )" "0.02 ( 0.01 )" 13.57 "0.51" 0.62 8.59 0.02 +100 50 "0.1" 0.5 0.47 "0.37 ( 0.01 )" "6.3 ( 0.43 )" "0 ( 0 )" 11.3 "0.4" 0.37 6.3 0 +500 50 "0.1" 0.1 0.73 "0.28 ( 0 )" "2.88 ( 0.21 )" "0 ( 0 )" 7.88 "0.2" 0.28 2.88 0 +1000 50 "0.1" 0.05 0.89 "0.27 ( 0 )" "1.66 ( 0.11 )" "0 ( 0 )" 6.66 "0.08" 0.27 1.66 0 +50 100 "0.1" 2 0.32 "0.67 ( 0.05 )" "11.84 ( 0.4 )" "0 ( 0 )" 16.84 "0.62" 0.67 11.8 0 +100 100 "0.1" 1 0.44 "0.4 ( 0.01 )" "7.71 ( 0.56 )" "0 ( 0 )" 12.71 "0.46" 0.4 7.71 0 +500 100 "0.1" 0.2 0.7 "0.27 ( 0 )" "3.35 ( 0.22 )" "0 ( 0 )" 8.35 "0.23" 0.27 3.35 0 +1000 100 "0.1" 0.1 0.81 "0.27 ( 0 )" "2.29 ( 0.23 )" "0 ( 0 )" 7.29 "0.13" 0.27 2.29 0 +50 500 "0.1" 10 0.18 "1.61 ( 0.1 )" "20.85 ( 0.38 )" "0.69 ( 0.08 )" 25.16 "0.78" 1.61 20.8 0.69 +100 500 "0.1" 5 0.3 "0.53 ( 0.02 )" "14.69 ( 0.7 )" "0 ( 0 )" 19.69 "0.66" 0.53 14.6 0 +500 500 "0.1" 1 0.55 "0.28 ( 0 )" "5.86 ( 0.51 )" "0 ( 0 )" 10.86 "0.36" 0.28 5.86 0 +1000 500 "0.1" 0.5 0.78 "0.28 ( 0 )" "2.69 ( 0.21 )" "0 ( 0 )" 7.69 "0.17" 0.28 2.69 0 +50 1000 "0.1" 20 0.13 "2.23 ( 0.14 )" "24.37 ( 0.39 )" "1.36 ( 0.1 )" 28.01 "0.83" 2.23 24.3 1.36 +100 1000 "0.1" 10 0.25 "0.57 ( 0.03 )" "18.79 ( 0.7 )" "0 ( 0 )" 23.79 "0.73" 0.57 18.7 0 +500 1000 "0.1" 2 0.49 "0.28 ( 0 )" "7.08 ( 0.53 )" "0 ( 0 )" 12.08 "0.41" 0.28 7.08 0 +1000 1000 "0.1" 1 0.7 "0.27 ( 0 )" "3.59 ( 0.33 )" "0 ( 0 )" 8.59 "0.23" 0.27 3.59 0 +50 50 "0.3" 1 0.35 "0.57 ( 0.03 )" "8.86 ( 0.42 )" "0.05 ( 0.02 )" 13.81 "0.53" 0.57 8.86 0.05 +100 50 "0.3" 0.5 0.47 "0.36 ( 0.01 )" "6.18 ( 0.36 )" "0 ( 0 )" 11.18 "0.41" 0.36 6.18 0 +500 50 "0.3" 0.1 0.7 "0.28 ( 0 )" "3.14 ( 0.21 )" "0 ( 0 )" 8.14 "0.22" 0.28 3.14 0 +1000 50 "0.3" 0.05 0.86 "0.27 ( 0 )" "1.86 ( 0.11 )" "0 ( 0 )" 6.86 "0.11" 0.27 1.86 0 +50 100 "0.3" 2 0.31 "0.76 ( 0.04 )" "11.12 ( 0.37 )" "0.17 ( 0.04 )" 15.95 "0.62" 0.76 11.1 0.17 +100 100 "0.3" 1 0.38 "0.41 ( 0.01 )" "9.43 ( 0.53 )" "0 ( 0 )" 14.43 "0.54" 0.41 9.43 0 +500 100 "0.3" 0.2 0.63 "0.27 ( 0 )" "4.16 ( 0.27 )" "0 ( 0 )" 9.16 "0.29" 0.27 4.16 0 +1000 100 "0.3" 0.1 0.8 "0.27 ( 0 )" "2.36 ( 0.17 )" "0 ( 0 )" 7.36 "0.15" 0.27 2.36 0 +50 500 "0.3" 10 0.14 "1.78 ( 0.11 )" "21.4 ( 0.41 )" "1.39 ( 0.1 )" 25.01 "0.81" 1.78 21.4 1.39 +100 500 "0.3" 5 0.26 "0.53 ( 0.02 )" "16.81 ( 0.77 )" "0.02 ( 0.01 )" 21.79 "0.7" 0.53 16.8 0.02 +500 500 "0.3" 1 0.55 "0.29 ( 0 )" "5.89 ( 0.51 )" "0 ( 0 )" 10.89 "0.36" 0.29 5.89 0 +1000 500 "0.3" 0.5 0.69 "0.27 ( 0 )" "3.68 ( 0.32 )" "0 ( 0 )" 8.68 "0.25" 0.27 3.68 0 +50 1000 "0.3" 20 0.11 "2.21 ( 0.15 )" "25.14 ( 0.35 )" "1.87 ( 0.1 )" 28.27 "0.85" 2.21 25.1 1.87 +100 1000 "0.3" 10 0.22 "0.61 ( 0.03 )" "21.11 ( 0.75 )" "0.02 ( 0.01 )" 26.09 "0.75" 0.61 21.1 0.02 +500 1000 "0.3" 2 0.47 "0.28 ( 0 )" "7.69 ( 0.63 )" "0 ( 0 )" 12.69 "0.45" 0.28 7.69 0 +1000 1000 "0.3" 1 0.58 "0.27 ( 0 )" "5.27 ( 0.46 )" "0 ( 0 )" 10.27 "0.33" 0.27 5.27 0 +50 50 "0.5" 1 0.35 "0.63 ( 0.04 )" "8.51 ( 0.41 )" "0.17 ( 0.04 )" 13.34 "0.53" 0.63 8.51 0.17 +100 50 "0.5" 0.5 0.42 "0.37 ( 0.01 )" "7.21 ( 0.33 )" "0.01 ( 0.01 )" 12.2 "0.47" 0.37 7.21 0.01 +500 50 "0.5" 0.1 0.66 "0.27 ( 0 )" "3.64 ( 0.21 )" "0 ( 0 )" 8.64 "0.27" 0.27 3.64 0 +1000 50 "0.5" 0.05 0.78 "0.27 ( 0 )" "2.46 ( 0.15 )" "0 ( 0 )" 7.46 "0.17" 0.27 2.46 0 +50 100 "0.5" 2 0.24 "0.8 ( 0.05 )" "13.21 ( 0.46 )" "0.6 ( 0.07 )" 17.61 "0.68" 0.8 13.2 0.6 +100 100 "0.5" 1 0.36 "0.44 ( 0.02 )" "10 ( 0.48 )" "0.02 ( 0.01 )" 14.98 "0.56" 0.44 10 0.02 +500 100 "0.5" 0.2 0.62 "0.29 ( 0 )" "4.39 ( 0.28 )" "0 ( 0 )" 9.39 "0.31" 0.29 4.39 0 +1000 100 "0.5" 0.1 0.71 "0.27 ( 0 )" "3.24 ( 0.22 )" "0 ( 0 )" 8.24 "0.23" 0.27 3.24 0 +50 500 "0.5" 10 0.12 "1.73 ( 0.1 )" "21.69 ( 0.32 )" "1.93 ( 0.09 )" 24.76 "0.83" 1.73 21.6 1.93 +100 500 "0.5" 5 0.23 "0.62 ( 0.03 )" "19.6 ( 0.76 )" "0.16 ( 0.04 )" 24.44 "0.74" 0.62 19.6 0.16 +500 500 "0.5" 1 0.4 "0.29 ( 0 )" "9.79 ( 0.55 )" "0 ( 0 )" 14.79 "0.54" 0.29 9.79 0 +1000 500 "0.5" 0.5 0.51 "0.28 ( 0 )" "6.66 ( 0.64 )" "0 ( 0 )" 11.66 "0.38" 0.28 6.66 0 +50 1000 "0.5" 20 0.09 "2.17 ( 0.13 )" "25.13 ( 0.34 )" "2.69 ( 0.1 )" 27.44 "0.88" 2.17 25.1 2.69 +100 1000 "0.5" 10 0.19 "0.75 ( 0.03 )" "23.22 ( 0.79 )" "0.26 ( 0.05 )" 27.96 "0.78" 0.75 23.2 0.26 +500 1000 "0.5" 2 0.39 "0.3 ( 0 )" "10.46 ( 0.63 )" "0 ( 0 )" 15.46 "0.54" 0.3 10.4 0 +1000 1000 "0.5" 1 0.48 "0.28 ( 0 )" "7.42 ( 0.6 )" "0 ( 0 )" 12.42 "0.42" 0.28 7.42 0 +50 50 "0.7" 1 0.3 "0.66 ( 0.04 )" "9.27 ( 0.39 )" "0.47 ( 0.06 )" 13.8 "0.57" 0.66 9.27 0.47 +100 50 "0.7" 0.5 0.39 "0.37 ( 0.01 )" "7.9 ( 0.35 )" "0.05 ( 0.03 )" 12.85 "0.5" 0.37 7.9 0.05 +500 50 "0.7" 0.1 0.6 "0.27 ( 0 )" "4.38 ( 0.21 )" "0 ( 0 )" 9.38 "0.33" 0.27 4.38 0 +1000 50 "0.7" 0.05 0.74 "0.27 ( 0 )" "2.84 ( 0.14 )" "0 ( 0 )" 7.84 "0.21" 0.27 2.84 0 +50 100 "0.7" 2 0.23 "0.8 ( 0.04 )" "11.57 ( 0.53 )" "1.26 ( 0.1 )" 15.31 "0.66" 0.8 11.5 1.26 +100 100 "0.7" 1 0.31 "0.39 ( 0.01 )" "11.68 ( 0.51 )" "0.1 ( 0.04 )" 16.58 "0.61" 0.39 11.6 0.1 +500 100 "0.7" 0.2 0.49 "0.28 ( 0 )" "6.56 ( 0.32 )" "0 ( 0 )" 11.56 "0.44" 0.28 6.56 0 +1000 100 "0.7" 0.1 0.63 "0.27 ( 0 )" "4.24 ( 0.26 )" "0 ( 0 )" 9.24 "0.3" 0.27 4.24 0 +50 500 "0.7" 10 0.12 "1.37 ( 0.08 )" "19.8 ( 0.33 )" "2.78 ( 0.08 )" 22.02 "0.85" 1.37 19.8 2.78 +100 500 "0.7" 5 0.19 "0.62 ( 0.03 )" "18.58 ( 0.85 )" "0.88 ( 0.08 )" 22.7 "0.75" 0.62 18.5 0.88 +500 500 "0.7" 1 0.36 "0.3 ( 0 )" "11.31 ( 0.6 )" "0 ( 0 )" 16.31 "0.58" 0.3 11.3 0 +1000 500 "0.7" 0.5 0.46 "0.27 ( 0 )" "7.93 ( 0.49 )" "0 ( 0 )" 12.93 "0.47" 0.27 7.93 0 +50 1000 "0.7" 20 0.09 "1.5 ( 0.08 )" "22.99 ( 0.35 )" "3.2 ( 0.09 )" 24.79 "0.88" 1.5 22.9 3.2 +100 1000 "0.7" 10 0.14 "0.77 ( 0.04 )" "22.43 ( 0.68 )" "1.45 ( 0.1 )" 25.98 "0.82" 0.77 22.4 1.45 +500 1000 "0.7" 2 0.3 "0.31 ( 0 )" "14.7 ( 0.84 )" "0 ( 0 )" 19.7 "0.65" 0.31 14.7 0 +1000 1000 "0.7" 1 0.41 "0.28 ( 0 )" "9.63 ( 0.54 )" "0 ( 0 )" 14.63 "0.53" 0.28 9.63 0 +50 50 "0.9" 1 0.31 "0.55 ( 0.03 )" "5.65 ( 0.29 )" "2.17 ( 0.13 )" 8.48 "0.51" 0.55 5.65 2.17 +100 50 "0.9" 0.5 0.38 "0.38 ( 0.02 )" "5.85 ( 0.3 )" "1.03 ( 0.11 )" 9.82 "0.45" 0.38 5.85 1.03 +500 50 "0.9" 0.1 0.61 "0.28 ( 0 )" "4.34 ( 0.19 )" "0.01 ( 0.01 )" 9.33 "0.33" 0.28 4.34 0.01 +1000 50 "0.9" 0.05 0.76 "0.27 ( 0 )" "2.71 ( 0.12 )" "0 ( 0 )" 7.71 "0.2" 0.27 2.71 0 +50 100 "0.9" 2 0.26 "0.6 ( 0.03 )" "7.26 ( 0.35 )" "2.69 ( 0.1 )" 9.57 "0.62" 0.6 7.26 2.69 +100 100 "0.9" 1 0.31 "0.44 ( 0.01 )" "7.79 ( 0.39 )" "1.51 ( 0.11 )" 11.28 "0.57" 0.44 7.79 1.51 +500 100 "0.9" 0.2 0.51 "0.29 ( 0 )" "6.45 ( 0.27 )" "0 ( 0 )" 11.45 "0.45" 0.29 6.45 0 +1000 100 "0.9" 0.1 0.61 "0.27 ( 0 )" "4.72 ( 0.21 )" "0 ( 0 )" 9.72 "0.35" 0.27 4.72 0 +50 500 "0.9" 10 0.13 "0.81 ( 0.04 )" "13.78 ( 0.36 )" "3.54 ( 0.08 )" 15.24 "0.83" 0.81 13.7 3.54 +100 500 "0.9" 5 0.18 "0.54 ( 0.02 )" "13.78 ( 0.72 )" "2.58 ( 0.08 )" 16.2 "0.76" 0.54 13.7 2.58 +500 500 "0.9" 1 0.25 "0.3 ( 0 )" "18.18 ( 0.69 )" "0.03 ( 0.02 )" 23.15 "0.72" 0.3 18.1 0.03 +1000 500 "0.9" 0.5 0.33 "0.28 ( 0 )" "12.68 ( 0.57 )" "0 ( 0 )" 17.68 "0.63" 0.28 12.6 0 +50 1000 "0.9" 20 0.08 "0.9 ( 0.05 )" "18.15 ( 0.34 )" "3.92 ( 0.08 )" 19.23 "0.89" 0.9 18.1 3.92 +100 1000 "0.9" 10 0.16 "0.59 ( 0.02 )" "15.99 ( 0.66 )" "2.88 ( 0.06 )" 18.11 "0.81" 0.59 15.9 2.88 +500 1000 "0.9" 2 0.2 "0.31 ( 0 )" "24.62 ( 1.01 )" "0.05 ( 0.02 )" 29.57 "0.77" 0.31 24.6 0.05 +1000 1000 "0.9" 1 0.25 "0.28 ( 0 )" "18.51 ( 0.86 )" "0 ( 0 )" 23.51 "0.71" 0.28 18.5 0 diff --git a/simulations/results_summary/sim_toe_rf.txt b/simulations/results_summary/sim_toe_rf.txt new file mode 100644 index 0000000..65fd568 --- /dev/null +++ b/simulations/results_summary/sim_toe_rf.txt @@ -0,0 +1,81 @@ +"N" "P" "Corr" "Ratio" "Stab" "MSE" "FP" "FN" "OOB" "num_select" "FDR" "MSE_mean" "FP_mean" "FN_mean" "OOB_mean" +50 50 "0.1" 1 0 "1.4 ( 0.06 )" "1 ( 0 )" "6 ( 0 )" "1.98 ( 0.02 )" 0 "NaN" 1.4 1 6 1.98 +100 50 "0.1" 0.5 0.19 "0.86 ( 0.03 )" "1.87 ( 0.14 )" "4.25 ( 0.09 )" "1.76 ( 0.01 )" 3.62 "0.48" 0.86 1.87 4.25 1.76 +500 50 "0.1" 0.1 0.77 "0.44 ( 0.01 )" "0.32 ( 0.05 )" "1.81 ( 0.07 )" "1.29 ( 0 )" 4.51 "0.06" 0.44 0.32 1.81 1.29 +1000 50 "0.1" 0.05 0.86 "0.34 ( 0 )" "0.15 ( 0.04 )" "0.93 ( 0.07 )" "1.15 ( 0 )" 5.22 "0.02" 0.34 0.15 0.93 1.15 +50 100 "0.1" 2 0 "1.36 ( 0.06 )" "1 ( 0 )" "6 ( 0 )" "2.19 ( 0.02 )" 0 "NaN" 1.36 1 6 2.19 +100 100 "0.1" 1 0.12 "0.93 ( 0.03 )" "4.11 ( 0.18 )" "4.17 ( 0.1 )" "1.99 ( 0.01 )" 5.93 "0.68" 0.93 4.11 4.17 1.99 +500 100 "0.1" 0.2 0.57 "0.56 ( 0.01 )" "2.08 ( 0.14 )" "1.52 ( 0.08 )" "1.51 ( 0 )" 6.56 "0.29" 0.56 2.08 1.52 1.51 +1000 100 "0.1" 0.1 0.74 "0.45 ( 0 )" "1.11 ( 0.1 )" "0.74 ( 0.07 )" "1.37 ( 0 )" 6.37 "0.16" 0.45 1.11 0.74 1.37 +50 500 "0.1" 10 0 "1.29 ( 0.05 )" "1 ( 0 )" "6 ( 0 )" "2.39 ( 0.02 )" 0 "NaN" 1.29 1 6 2.39 +100 500 "0.1" 5 0.02 "0.95 ( 0.02 )" "24.82 ( 0.56 )" "4.55 ( 0.09 )" "2.35 ( 0.02 )" 26.27 "0.94" 0.95 24.8 4.55 2.35 +500 500 "0.1" 1 0.13 "0.84 ( 0.01 )" "20.8 ( 0.48 )" "1.79 ( 0.1 )" "2.12 ( 0.01 )" 25.01 "0.83" 0.84 20.8 1.79 2.12 +1000 500 "0.1" 0.5 0.18 "0.76 ( 0.01 )" "18.72 ( 0.37 )" "0.91 ( 0.07 )" "2.02 ( 0 )" 23.81 "0.78" 0.76 18.7 0.91 2.02 +50 1000 "0.1" 20 0 "1.35 ( 0.06 )" "1 ( 0 )" "6 ( 0 )" "2.42 ( 0.02 )" 0 "NaN" 1.35 1 6 2.42 +100 1000 "0.1" 10 0.01 "1 ( 0.03 )" "49.42 ( 0.7 )" "4.71 ( 0.09 )" "2.39 ( 0.02 )" 50.71 "0.97" 1 49.4 4.71 2.39 +500 1000 "0.1" 2 0.06 "0.87 ( 0.01 )" "46.19 ( 0.64 )" "1.97 ( 0.09 )" "2.25 ( 0.01 )" 50.22 "0.92" 0.87 46.1 1.97 2.25 +1000 1000 "0.1" 1 0.09 "0.85 ( 0.01 )" "40.92 ( 0.66 )" "0.98 ( 0.07 )" "2.21 ( 0 )" 45.94 "0.89" 0.85 40.9 0.98 2.21 +50 50 "0.3" 1 0 "1.22 ( 0.05 )" "1 ( 0 )" "6 ( 0 )" "1.87 ( 0.02 )" 0 "NaN" 1.22 1 6 1.87 +100 50 "0.3" 0.5 0.23 "0.77 ( 0.02 )" "1.72 ( 0.11 )" "4.4 ( 0.08 )" "1.65 ( 0.01 )" 3.32 "0.48" 0.77 1.72 4.4 1.65 +500 50 "0.3" 0.1 0.7 "0.39 ( 0 )" "0.54 ( 0.06 )" "1.98 ( 0.08 )" "1.23 ( 0 )" 4.56 "0.11" 0.39 0.54 1.98 1.23 +1000 50 "0.3" 0.05 0.82 "0.31 ( 0 )" "0.3 ( 0.05 )" "1.19 ( 0.08 )" "1.1 ( 0 )" 5.11 "0.05" 0.31 0.3 1.19 1.1 +50 100 "0.3" 2 0 "1.15 ( 0.05 )" "1 ( 0 )" "6 ( 0 )" "2.03 ( 0.02 )" 0 "NaN" 1.15 1 6 2.03 +100 100 "0.3" 1 0.15 "0.81 ( 0.02 )" "3.77 ( 0.16 )" "4.28 ( 0.07 )" "1.87 ( 0.01 )" 5.49 "0.67" 0.81 3.77 4.28 1.87 +500 100 "0.3" 0.2 0.52 "0.51 ( 0.01 )" "2.21 ( 0.14 )" "1.94 ( 0.09 )" "1.45 ( 0 )" 6.27 "0.33" 0.51 2.21 1.94 1.45 +1000 100 "0.3" 0.1 0.75 "0.41 ( 0 )" "1.4 ( 0.1 )" "0.76 ( 0.07 )" "1.31 ( 0 )" 6.64 "0.2" 0.41 1.4 0.76 1.31 +50 500 "0.3" 10 0 "1.14 ( 0.05 )" "1 ( 0 )" "6 ( 0 )" "2.24 ( 0.02 )" 0 "NaN" 1.14 1 6 2.24 +100 500 "0.3" 5 0.02 "0.89 ( 0.03 )" "24.48 ( 0.46 )" "4.69 ( 0.08 )" "2.21 ( 0.01 )" 25.79 "0.95" 0.89 24.4 4.69 2.21 +500 500 "0.3" 1 0.12 "0.73 ( 0.01 )" "20.86 ( 0.41 )" "2.1 ( 0.09 )" "1.99 ( 0.01 )" 24.76 "0.84" 0.73 20.8 2.1 1.99 +1000 500 "0.3" 0.5 0.19 "0.68 ( 0.01 )" "18.71 ( 0.45 )" "1.13 ( 0.08 )" "1.91 ( 0 )" 23.58 "0.79" 0.68 18.7 1.13 1.91 +50 1000 "0.3" 20 0 "1.2 ( 0.05 )" "1 ( 0 )" "6 ( 0 )" "2.29 ( 0.02 )" 0 "NaN" 1.2 1 6 2.29 +100 1000 "0.3" 10 0.01 "0.92 ( 0.03 )" "48.8 ( 0.82 )" "4.79 ( 0.08 )" "2.23 ( 0.02 )" 50.01 "0.98" 0.92 48.8 4.79 2.23 +500 1000 "0.3" 2 0.05 "0.78 ( 0.01 )" "44.58 ( 0.68 )" "2.48 ( 0.09 )" "2.13 ( 0.01 )" 48.1 "0.93" 0.78 44.5 2.48 2.13 +1000 1000 "0.3" 1 0.08 "0.74 ( 0.01 )" "42.87 ( 0.73 )" "1.44 ( 0.09 )" "2.07 ( 0 )" 47.43 "0.9" 0.74 42.8 1.44 2.07 +50 50 "0.5" 1 0 "0.99 ( 0.05 )" "1 ( 0 )" "6 ( 0 )" "1.68 ( 0.02 )" 0 "NaN" 0.99 1 6 1.68 +100 50 "0.5" 0.5 0.24 "0.62 ( 0.02 )" "1.74 ( 0.13 )" "4.39 ( 0.08 )" "1.5 ( 0.01 )" 3.34 "0.47" 0.62 1.74 4.39 1.5 +500 50 "0.5" 0.1 0.7 "0.32 ( 0 )" "0.98 ( 0.09 )" "2.53 ( 0.08 )" "1.14 ( 0 )" 4.45 "0.2" 0.32 0.98 2.53 1.14 +1000 50 "0.5" 0.05 0.78 "0.26 ( 0 )" "0.91 ( 0.07 )" "1.71 ( 0.07 )" "1.03 ( 0 )" 5.2 "0.16" 0.26 0.91 1.71 1.03 +50 100 "0.5" 2 0 "0.91 ( 0.04 )" "1 ( 0 )" "6 ( 0 )" "1.84 ( 0.02 )" 0 "NaN" 0.91 1 6 1.84 +100 100 "0.5" 1 0.15 "0.68 ( 0.02 )" "3.72 ( 0.19 )" "4.42 ( 0.08 )" "1.69 ( 0.01 )" 5.3 "0.66" 0.68 3.72 4.42 1.69 +500 100 "0.5" 0.2 0.56 "0.4 ( 0 )" "2.59 ( 0.13 )" "2.1 ( 0.08 )" "1.32 ( 0 )" 6.49 "0.38" 0.4 2.59 2.1 1.32 +1000 100 "0.5" 0.1 0.76 "0.34 ( 0 )" "2.09 ( 0.1 )" "1.08 ( 0.07 )" "1.2 ( 0 )" 7.01 "0.29" 0.34 2.09 1.08 1.2 +50 500 "0.5" 10 0 "0.95 ( 0.04 )" "1 ( 0 )" "6 ( 0 )" "2.04 ( 0.02 )" 0 "NaN" 0.95 1 6 2.04 +100 500 "0.5" 5 0.03 "0.75 ( 0.02 )" "24.36 ( 0.56 )" "4.57 ( 0.07 )" "1.97 ( 0.01 )" 25.79 "0.94" 0.75 24.3 4.57 1.97 +500 500 "0.5" 1 0.13 "0.58 ( 0.01 )" "20.66 ( 0.49 )" "2.51 ( 0.07 )" "1.79 ( 0.01 )" 24.15 "0.85" 0.58 20.6 2.51 1.79 +1000 500 "0.5" 0.5 0.2 "0.55 ( 0 )" "18.4 ( 0.44 )" "1.77 ( 0.07 )" "1.72 ( 0 )" 22.63 "0.81" 0.55 18.4 1.77 1.72 +50 1000 "0.5" 20 0 "0.94 ( 0.04 )" "1 ( 0 )" "6 ( 0 )" "2.04 ( 0.02 )" 0 "NaN" 0.94 1 6 2.04 +100 1000 "0.5" 10 0.01 "0.72 ( 0.02 )" "48.5 ( 0.74 )" "4.75 ( 0.08 )" "2.03 ( 0.02 )" 49.75 "0.97" 0.72 48.5 4.75 2.03 +500 1000 "0.5" 2 0.05 "0.65 ( 0.01 )" "46.07 ( 0.71 )" "2.83 ( 0.09 )" "1.93 ( 0.01 )" 49.24 "0.93" 0.65 46 2.83 1.93 +1000 1000 "0.5" 1 0.09 "0.61 ( 0.01 )" "41.21 ( 0.68 )" "1.84 ( 0.08 )" "1.87 ( 0 )" 45.37 "0.91" 0.61 41.2 1.84 1.87 +50 50 "0.7" 1 0 "0.66 ( 0.03 )" "1 ( 0 )" "6 ( 0 )" "1.44 ( 0.01 )" 0 "NaN" 0.66 1 6 1.44 +100 50 "0.7" 0.5 0.28 "0.44 ( 0.01 )" "1.84 ( 0.14 )" "4.44 ( 0.08 )" "1.26 ( 0.01 )" 3.4 "0.48" 0.44 1.84 4.44 1.26 +500 50 "0.7" 0.1 0.74 "0.23 ( 0 )" "1.29 ( 0.07 )" "2.76 ( 0.07 )" "0.98 ( 0 )" 4.53 "0.27" 0.23 1.29 2.76 0.98 +1000 50 "0.7" 0.05 0.85 "0.19 ( 0 )" "1.57 ( 0.07 )" "2.29 ( 0.06 )" "0.9 ( 0 )" 5.28 "0.29" 0.19 1.57 2.29 0.9 +50 100 "0.7" 2 0 "0.67 ( 0.03 )" "1 ( 0 )" "6 ( 0 )" "1.5 ( 0.02 )" 0 "NaN" 0.67 1 6 1.5 +100 100 "0.7" 1 0.14 "0.47 ( 0.01 )" "4.64 ( 0.25 )" "4.32 ( 0.09 )" "1.4 ( 0.01 )" 6.32 "0.7" 0.47 4.64 4.32 1.4 +500 100 "0.7" 0.2 0.63 "0.28 ( 0 )" "2.64 ( 0.14 )" "2.52 ( 0.07 )" "1.14 ( 0 )" 6.12 "0.41" 0.28 2.64 2.52 1.14 +1000 100 "0.7" 0.1 0.8 "0.25 ( 0 )" "2.42 ( 0.1 )" "1.76 ( 0.05 )" "1.05 ( 0 )" 6.66 "0.35" 0.25 2.42 1.76 1.05 +50 500 "0.7" 10 0 "0.7 ( 0.03 )" "1 ( 0 )" "6 ( 0 )" "1.68 ( 0.02 )" 0 "NaN" 0.7 1 6 1.68 +100 500 "0.7" 5 0.03 "0.49 ( 0.02 )" "24.87 ( 0.57 )" "4.59 ( 0.09 )" "1.64 ( 0.01 )" 26.28 "0.94" 0.49 24.8 4.59 1.64 +500 500 "0.7" 1 0.13 "0.4 ( 0 )" "21.21 ( 0.55 )" "2.97 ( 0.08 )" "1.49 ( 0 )" 24.24 "0.87" 0.4 21.2 2.97 1.49 +1000 500 "0.7" 0.5 0.21 "0.38 ( 0 )" "17.4 ( 0.46 )" "1.98 ( 0.07 )" "1.43 ( 0 )" 21.42 "0.8" 0.38 17.4 1.98 1.43 +50 1000 "0.7" 20 0 "0.74 ( 0.03 )" "1 ( 0 )" "6 ( 0 )" "1.69 ( 0.02 )" 0 "NaN" 0.74 1 6 1.69 +100 1000 "0.7" 10 0.01 "0.5 ( 0.01 )" "49.02 ( 0.67 )" "4.84 ( 0.08 )" "1.69 ( 0.01 )" 50.18 "0.98" 0.5 49 4.84 1.69 +500 1000 "0.7" 2 0.07 "0.44 ( 0 )" "45.41 ( 0.68 )" "3.02 ( 0.07 )" "1.59 ( 0.01 )" 48.39 "0.94" 0.44 45.4 3.02 1.59 +1000 1000 "0.7" 1 0.09 "0.42 ( 0 )" "42.15 ( 0.71 )" "2.37 ( 0.07 )" "1.56 ( 0 )" 45.78 "0.92" 0.42 42.1 2.37 1.56 +50 50 "0.9" 1 0 "0.27 ( 0.01 )" "1 ( 0 )" "6 ( 0 )" "0.96 ( 0.01 )" 0 "NaN" 0.27 1 6 0.96 +100 50 "0.9" 0.5 0.19 "0.19 ( 0.01 )" "2.14 ( 0.17 )" "4.84 ( 0.08 )" "0.89 ( 0.01 )" 3.28 "0.58" 0.19 2.14 4.84 0.89 +500 50 "0.9" 0.1 0.67 "0.12 ( 0 )" "1.43 ( 0.09 )" "3.13 ( 0.08 )" "0.74 ( 0 )" 4.3 "0.32" 0.12 1.43 3.13 0.74 +1000 50 "0.9" 0.05 0.85 "0.1 ( 0 )" "1.5 ( 0.07 )" "2.46 ( 0.06 )" "0.7 ( 0 )" 5.04 "0.29" 0.1 1.5 2.46 0.7 +50 100 "0.9" 2 0 "0.3 ( 0.01 )" "1 ( 0 )" "6 ( 0 )" "1 ( 0.01 )" 0 "NaN" 0.3 1 6 1 +100 100 "0.9" 1 0.16 "0.19 ( 0.01 )" "4.23 ( 0.22 )" "4.48 ( 0.09 )" "0.98 ( 0.01 )" 5.74 "0.72" 0.19 4.23 4.48 0.98 +500 100 "0.9" 0.2 0.57 "0.14 ( 0 )" "2.86 ( 0.16 )" "2.89 ( 0.07 )" "0.82 ( 0 )" 5.97 "0.45" 0.14 2.86 2.89 0.82 +1000 100 "0.9" 0.1 0.8 "0.12 ( 0 )" "2.42 ( 0.11 )" "1.89 ( 0.05 )" "0.78 ( 0 )" 6.53 "0.36" 0.12 2.42 1.89 0.78 +50 500 "0.9" 10 0 "0.29 ( 0.01 )" "1 ( 0 )" "6 ( 0 )" "1.1 ( 0.01 )" 0 "NaN" 0.29 1 6 1.1 +100 500 "0.9" 5 0.02 "0.21 ( 0.01 )" "24.34 ( 0.71 )" "4.72 ( 0.09 )" "1.08 ( 0.01 )" 25.62 "0.95" 0.21 24.3 4.72 1.08 +500 500 "0.9" 1 0.14 "0.17 ( 0 )" "21.38 ( 0.6 )" "3 ( 0.07 )" "0.99 ( 0 )" 24.38 "0.87" 0.17 21.3 0 0.99 +1000 500 "0.9" 0.5 0.2 "0.16 ( 0 )" "18.68 ( 0.53 )" "2.35 ( 0.06 )" "0.96 ( 0 )" 22.33 "0.83" 0.16 18.6 2.35 0.96 +50 1000 "0.9" 20 0 "0.29 ( 0.01 )" "1 ( 0 )" "6 ( 0 )" "1.11 ( 0.01 )" 0 "NaN" 0.29 1 6 1.11 +100 1000 "0.9" 10 0.01 "0.2 ( 0.01 )" "49.91 ( 0.83 )" "4.99 ( 0.09 )" "1.09 ( 0.01 )" 50.92 "0.98" 0.2 49.9 4.99 1.09 +500 1000 "0.9" 2 0.06 "0.19 ( 0 )" "46.34 ( 0.86 )" "3.13 ( 0.08 )" "1.04 ( 0 )" 49.21 "0.94" 0.19 46.3 3.13 1.04 +1000 1000 "0.9" 1 0.09 "0.18 ( 0 )" "43.52 ( 0.89 )" "2.7 ( 0.07 )" "1.02 ( 0 )" 46.82 "0.93" 0.18 43.5 2.7 1.02 diff --git a/simulations/results_summary/table_block_all.txt b/simulations/results_summary/table_block_all.txt new file mode 100644 index 0000000..9819ec1 --- /dev/null +++ b/simulations/results_summary/table_block_all.txt @@ -0,0 +1,321 @@ +"N" "P" "Corr" "Ratio" "Stab" "MSE" "FP" "FN" "num_select" "FDR" "MSE_mean" "FP_mean" "FN_mean" "method" +50 50 0.1 1 0.05 "0.36 ( 0.01 )" "3.52 ( 0.22 )" "4.92 ( 0.08 )" 3.6 0.65 0.36 3.52 4.92 "lasso" +100 50 0.1 0.5 0.18 "0.31 ( 0.01 )" "2.71 ( 0.25 )" "4.4 ( 0.1 )" 3.31 0.42 0.31 2.71 4.4 "lasso" +500 50 0.1 0.1 0.35 "0.29 ( 0 )" "5.42 ( 0.25 )" "1.97 ( 0.11 )" 8.45 0.48 0.29 5.42 1.97 "lasso" +1000 50 0.1 0.05 0.44 "0.28 ( 0 )" "4.91 ( 0.2 )" "1.57 ( 0.09 )" 8.34 0.44 0.28 4.91 1.57 "lasso" +50 100 0.1 2 0.06 "0.37 ( 0.02 )" "4.73 ( 0.22 )" "4.79 ( 0.08 )" 4.94 0.72 0.37 4.73 4.79 "lasso" +100 100 0.1 1 0.13 "0.34 ( 0.01 )" "3 ( 0.15 )" "4.75 ( 0.09 )" 3.25 0.57 0.34 3 4.75 "lasso" +500 100 0.1 0.2 0.24 "0.3 ( 0 )" "8.56 ( 0.5 )" "2.13 ( 0.12 )" 11.43 0.57 0.3 8.56 2.13 "lasso" +1000 100 0.1 0.1 0.33 "0.29 ( 0 )" "7.77 ( 0.33 )" "1.44 ( 0.08 )" 11.33 0.56 0.29 7.77 1.44 "lasso" +50 500 0.1 10 0.01 "0.37 ( 0.02 )" "10.58 ( 0.31 )" "5.25 ( 0.07 )" 10.33 0.92 0.37 10.5 5.25 "lasso" +100 500 0.1 5 0.05 "0.35 ( 0.01 )" "6.23 ( 0.26 )" "4.94 ( 0.08 )" 6.29 0.82 0.35 6.23 4.94 "lasso" +500 500 0.1 1 0.33 "0.32 ( 0.01 )" "3.77 ( 0.75 )" "3.69 ( 0.08 )" 5.08 0.27 0.32 3.77 3.69 "lasso" +1000 500 0.1 0.5 0.14 "0.29 ( 0 )" "20.61 ( 1.39 )" "2.11 ( 0.1 )" 23.5 0.69 0.29 20.6 2.11 "lasso" +50 1000 0.1 20 0.01 "0.39 ( 0.02 )" "13.99 ( 0.32 )" "5.31 ( 0.07 )" 13.68 0.95 0.39 13.9 5.31 "lasso" +100 1000 0.1 10 0.03 "0.35 ( 0.01 )" "9.56 ( 0.33 )" "5.01 ( 0.08 )" 9.55 0.89 0.35 9.56 5.01 "lasso" +500 1000 0.1 2 0.48 "0.33 ( 0 )" "1.83 ( 0.19 )" "3.97 ( 0.07 )" 2.86 0.2 0.33 1.83 3.97 "lasso" +1000 1000 0.1 1 0.17 "0.3 ( 0 )" "13.42 ( 1.74 )" "2.77 ( 0.09 )" 15.65 0.47 0.3 13.4 2.77 "lasso" +50 50 0.3 1 0.27 "0.72 ( 0.04 )" "8.7 ( 0.42 )" "0.79 ( 0.09 )" 12.91 0.56 0.72 8.7 0.79 "lasso" +100 50 0.3 0.5 0.39 "0.4 ( 0.01 )" "7.91 ( 0.47 )" "0.01 ( 0.01 )" 12.9 0.48 0.4 7.91 0.01 "lasso" +500 50 0.3 0.1 0.63 "0.28 ( 0 )" "3.86 ( 0.25 )" "0 ( 0 )" 8.86 0.28 0.28 3.86 0 "lasso" +1000 50 0.3 0.05 0.78 "0.27 ( 0 )" "2.45 ( 0.14 )" "0 ( 0 )" 7.45 0.17 0.27 2.45 0 "lasso" +50 100 0.3 2 0.21 "0.82 ( 0.05 )" "12.31 ( 0.43 )" "1.14 ( 0.1 )" 16.17 0.68 0.82 12.3 1.14 "lasso" +100 100 0.3 1 0.34 "0.44 ( 0.01 )" "10.58 ( 0.62 )" "0.09 ( 0.03 )" 15.49 0.56 0.44 10.5 0.09 "lasso" +500 100 0.3 0.2 0.61 "0.27 ( 0 )" "4.51 ( 0.29 )" "0 ( 0 )" 9.51 0.32 0.27 4.51 0 "lasso" +1000 100 0.3 0.1 0.69 "0.27 ( 0 )" "3.46 ( 0.29 )" "0 ( 0 )" 8.46 0.24 0.27 3.46 0 "lasso" +50 500 0.3 10 0.09 "1.25 ( 0.07 )" "20.71 ( 0.36 )" "2.63 ( 0.11 )" 23.08 0.85 1.25 20.7 2.63 "lasso" +100 500 0.3 5 0.23 "0.59 ( 0.02 )" "18.01 ( 0.69 )" "0.35 ( 0.06 )" 22.66 0.73 0.59 18 0.35 "lasso" +500 500 0.3 1 0.47 "0.29 ( 0 )" "7.7 ( 0.54 )" "0 ( 0 )" 12.7 0.45 0.29 7.7 0 "lasso" +1000 500 0.3 0.5 0.53 "0.27 ( 0 )" "6.14 ( 0.57 )" "0 ( 0 )" 11.14 0.36 0.27 6.14 0 "lasso" +50 1000 0.3 20 0.06 "1.51 ( 0.08 )" "24.06 ( 0.36 )" "3.21 ( 0.11 )" 25.85 0.89 1.51 24 3.21 "lasso" +100 1000 0.3 10 0.17 "0.67 ( 0.03 )" "22.69 ( 0.61 )" "0.73 ( 0.08 )" 26.96 0.8 0.67 22.6 0.73 "lasso" +500 1000 0.3 2 0.35 "0.29 ( 0 )" "11.72 ( 0.9 )" "0 ( 0 )" 16.72 0.55 0.29 11.7 0 "lasso" +1000 1000 0.3 1 0.51 "0.27 ( 0 )" "6.69 ( 0.52 )" "0 ( 0 )" 11.69 0.41 0.27 6.69 0 "lasso" +50 50 0.5 1 0.33 "0.64 ( 0.03 )" "9.36 ( 0.45 )" "0.12 ( 0.04 )" 14.24 0.55 0.64 9.36 0.12 "lasso" +100 50 0.5 0.5 0.41 "0.36 ( 0.01 )" "7.39 ( 0.39 )" "0 ( 0 )" 12.39 0.47 0.36 7.39 0 "lasso" +500 50 0.5 0.1 0.7 "0.28 ( 0 )" "3.18 ( 0.23 )" "0 ( 0 )" 8.18 0.22 0.28 3.18 0 "lasso" +1000 50 0.5 0.05 0.82 "0.27 ( 0 )" "2.11 ( 0.13 )" "0 ( 0 )" 7.11 0.13 0.27 2.11 0 "lasso" +50 100 0.5 2 0.28 "0.78 ( 0.05 )" "12.05 ( 0.47 )" "0.38 ( 0.07 )" 16.67 0.64 0.78 12 0.38 "lasso" +100 100 0.5 1 0.37 "0.42 ( 0.02 )" "9.57 ( 0.58 )" "0 ( 0 )" 14.57 0.54 0.42 9.57 0 "lasso" +500 100 0.5 0.2 0.59 "0.27 ( 0 )" "4.7 ( 0.3 )" "0 ( 0 )" 9.7 0.33 0.27 4.7 0 "lasso" +1000 100 0.5 0.1 0.78 "0.27 ( 0 )" "2.58 ( 0.16 )" "0 ( 0 )" 7.58 0.18 0.27 2.58 0 "lasso" +50 500 0.5 10 0.12 "1.64 ( 0.1 )" "21.8 ( 0.36 )" "1.82 ( 0.11 )" 24.98 0.83 1.64 21.8 1.82 "lasso" +100 500 0.5 5 0.24 "0.55 ( 0.02 )" "18.37 ( 0.77 )" "0.04 ( 0.02 )" 23.33 0.72 0.55 18.3 0.04 "lasso" +500 500 0.5 1 0.46 "0.3 ( 0 )" "7.82 ( 0.64 )" "0 ( 0 )" 12.82 0.44 0.3 7.82 0 "lasso" +1000 500 0.5 0.5 0.65 "0.28 ( 0 )" "4.16 ( 0.33 )" "0 ( 0 )" 9.16 0.28 0.28 4.16 0 "lasso" +50 1000 0.5 20 0.09 "1.84 ( 0.1 )" "24.67 ( 0.36 )" "2.56 ( 0.11 )" 27.11 0.87 1.84 24.6 2.56 "lasso" +100 1000 0.5 10 0.21 "0.64 ( 0.03 )" "22.01 ( 0.65 )" "0.12 ( 0.03 )" 26.89 0.77 0.64 22 0.12 "lasso" +500 1000 0.5 2 0.45 "0.29 ( 0 )" "8.22 ( 0.73 )" "0 ( 0 )" 13.22 0.44 0.29 8.22 0 "lasso" +1000 1000 0.5 1 0.53 "0.27 ( 0 )" "6.36 ( 0.51 )" "0 ( 0 )" 11.36 0.39 0.27 6.36 0 "lasso" +50 50 0.7 1 0.36 "0.57 ( 0.04 )" "8.63 ( 0.41 )" "0.06 ( 0.02 )" 13.57 0.52 0.57 8.63 0.06 "lasso" +100 50 0.7 0.5 0.45 "0.37 ( 0.01 )" "6.73 ( 0.39 )" "0 ( 0 )" 11.73 0.44 0.37 6.73 0 "lasso" +500 50 0.7 0.1 0.71 "0.28 ( 0 )" "3.01 ( 0.2 )" "0 ( 0 )" 8.01 0.22 0.28 3.01 0 "lasso" +1000 50 0.7 0.05 0.85 "0.27 ( 0 )" "1.89 ( 0.12 )" "0 ( 0 )" 6.89 0.11 0.27 1.89 0 "lasso" +50 100 0.7 2 0.3 "0.82 ( 0.05 )" "11.87 ( 0.44 )" "0.17 ( 0.05 )" 16.7 0.63 0.82 11.8 0.17 "lasso" +100 100 0.7 1 0.37 "0.41 ( 0.02 )" "9.7 ( 0.63 )" "0 ( 0 )" 14.7 0.53 0.41 9.7 0 "lasso" +500 100 0.7 0.2 0.66 "0.28 ( 0 )" "3.85 ( 0.3 )" "0 ( 0 )" 8.85 0.26 0.28 3.85 0 "lasso" +1000 100 0.7 0.1 0.76 "0.27 ( 0 )" "2.71 ( 0.23 )" "0 ( 0 )" 7.71 0.17 0.27 2.71 0 "lasso" +50 500 0.7 10 0.15 "2.03 ( 0.14 )" "21.53 ( 0.36 )" "1.18 ( 0.11 )" 25.35 0.81 2.03 21.5 1.18 "lasso" +100 500 0.7 5 0.28 "0.54 ( 0.02 )" "16.11 ( 0.63 )" "0 ( 0 )" 21.11 0.69 0.54 16.1 0 "lasso" +500 500 0.7 1 0.51 "0.29 ( 0 )" "6.69 ( 0.45 )" "0 ( 0 )" 11.69 0.42 0.29 6.69 0 "lasso" +1000 500 0.7 0.5 0.62 "0.28 ( 0 )" "4.65 ( 0.37 )" "0 ( 0 )" 9.65 0.3 0.28 4.65 0 "lasso" +50 1000 0.7 20 0.1 "2.51 ( 0.13 )" "25.24 ( 0.32 )" "2.11 ( 0.12 )" 28.13 0.86 2.51 25.2 2.11 "lasso" +100 1000 0.7 10 0.22 "0.59 ( 0.02 )" "21.52 ( 0.68 )" "0.01 ( 0.01 )" 26.51 0.76 0.59 21.5 0.01 "lasso" +500 1000 0.7 2 0.47 "0.3 ( 0 )" "7.81 ( 0.61 )" "0 ( 0 )" 12.81 0.45 0.3 7.81 0 "lasso" +1000 1000 0.7 1 0.65 "0.28 ( 0 )" "4.14 ( 0.35 )" "0 ( 0 )" 9.14 0.27 0.28 4.14 0 "lasso" +50 50 0.9 1 0.32 "0.61 ( 0.05 )" "9.61 ( 0.49 )" "0.07 ( 0.03 )" 14.54 0.55 0.61 9.61 0.07 "lasso" +100 50 0.9 0.5 0.44 "0.37 ( 0.01 )" "6.82 ( 0.39 )" "0 ( 0 )" 11.82 0.44 0.37 6.82 0 "lasso" +500 50 0.9 0.1 0.75 "0.27 ( 0 )" "2.68 ( 0.17 )" "0 ( 0 )" 7.68 0.19 0.27 2.68 0 "lasso" +1000 50 0.9 0.05 0.87 "0.27 ( 0 )" "1.76 ( 0.11 )" "0 ( 0 )" 6.76 0.09 0.27 1.76 0 "lasso" +50 100 0.9 2 0.29 "0.87 ( 0.05 )" "12.12 ( 0.37 )" "0.17 ( 0.05 )" 16.95 0.64 0.87 12.1 0.17 "lasso" +100 100 0.9 1 0.4 "0.38 ( 0.01 )" "8.72 ( 0.53 )" "0 ( 0 )" 13.72 0.51 0.38 8.72 0 "lasso" +500 100 0.9 0.2 0.67 "0.27 ( 0 )" "3.68 ( 0.28 )" "0 ( 0 )" 8.68 0.25 0.27 3.68 0 "lasso" +1000 100 0.9 0.1 0.76 "0.27 ( 0 )" "2.72 ( 0.23 )" "0 ( 0 )" 7.72 0.17 0.27 2.72 0 "lasso" +50 500 0.9 10 0.14 "2.29 ( 0.15 )" "23.7 ( 0.43 )" "1.18 ( 0.11 )" 27.52 0.82 2.29 23.7 1.18 "lasso" +100 500 0.9 5 0.28 "0.51 ( 0.02 )" "16.13 ( 0.62 )" "0 ( 0 )" 21.13 0.69 0.51 16.1 0 "lasso" +500 500 0.9 1 0.5 "0.29 ( 0 )" "6.87 ( 0.54 )" "0 ( 0 )" 11.87 0.41 0.29 6.87 0 "lasso" +1000 500 0.9 0.5 0.71 "0.27 ( 0 )" "3.37 ( 0.27 )" "0 ( 0 )" 8.37 0.23 0.27 3.37 0 "lasso" +50 1000 0.9 20 0.11 "2.46 ( 0.16 )" "25.37 ( 0.35 )" "1.73 ( 0.12 )" 28.64 0.85 2.46 25.3 1.73 "lasso" +100 1000 0.9 10 0.22 "0.62 ( 0.03 )" "21.43 ( 0.62 )" "0 ( 0 )" 26.43 0.76 0.62 21.4 0 "lasso" +500 1000 0.9 2 0.46 "0.3 ( 0 )" "7.99 ( 0.79 )" "0 ( 0 )" 12.99 0.42 0.3 7.99 0 "lasso" +1000 1000 0.9 1 0.6 "0.28 ( 0 )" "4.93 ( 0.43 )" "0 ( 0 )" 9.93 0.31 0.28 4.93 0 "lasso" +50 50 0.1 1 0.02 "0.38 ( 0.02 )" "10.9 ( 0.97 )" "3.91 ( 0.15 )" 11.99 0.77 0.38 10.9 3.91 "elnet" +100 50 0.1 0.5 0.06 "0.34 ( 0.01 )" "13.39 ( 1.06 )" "2.45 ( 0.16 )" 15.94 0.68 0.34 13.3 2.45 "elnet" +500 50 0.1 0.1 0.13 "0.27 ( 0 )" "19.21 ( 0.81 )" "0.14 ( 0.04 )" 24.07 0.73 0.27 19.2 0.14 "elnet" +1000 50 0.1 0.05 0.15 "0.26 ( 0 )" "18.76 ( 0.63 )" "0.02 ( 0.01 )" 23.74 0.73 0.26 18.7 0.02 "elnet" +50 100 0.1 2 0.03 "0.41 ( 0.02 )" "9.27 ( 0.76 )" "4.63 ( 0.09 )" 9.64 0.82 0.41 9.27 4.63 "elnet" +100 100 0.1 1 0.07 "0.34 ( 0.01 )" "10.1 ( 1.04 )" "3.87 ( 0.13 )" 11.23 0.7 0.34 10.1 3.87 "elnet" +500 100 0.1 0.2 0.13 "0.29 ( 0 )" "25.4 ( 0.81 )" "0.41 ( 0.06 )" 29.99 0.8 0.29 25.4 0.41 "elnet" +1000 100 0.1 0.1 0.13 "0.27 ( 0 )" "28.36 ( 0.94 )" "0.06 ( 0.03 )" 33.3 0.81 0.27 28.3 0.06 "elnet" +50 500 0.1 10 0.01 "0.41 ( 0.02 )" "30.9 ( 3.51 )" "4.65 ( 0.13 )" 31.25 0.94 0.41 30.9 4.65 "elnet" +100 500 0.1 5 0.03 "0.36 ( 0.01 )" "20.83 ( 2.77 )" "4.43 ( 0.1 )" 21.4 0.87 0.36 20.8 4.43 "elnet" +500 500 0.1 1 0.08 "0.32 ( 0 )" "29.71 ( 2.76 )" "2.55 ( 0.12 )" 32.16 0.8 0.32 29.7 2.55 "elnet" +1000 500 0.1 0.5 0.07 "0.28 ( 0 )" "61.47 ( 1.31 )" "0.56 ( 0.07 )" 65.91 0.91 0.28 61.4 0.56 "elnet" +50 1000 0.1 20 0 "0.41 ( 0.02 )" "38.1 ( 4.05 )" "5.01 ( 0.11 )" 38.09 0.97 0.41 38.1 5.01 "elnet" +100 1000 0.1 10 0.02 "0.36 ( 0.01 )" "35.49 ( 4.37 )" "4.34 ( 0.14 )" 36.15 0.93 0.36 35.4 4.34 "elnet" +500 1000 0.1 2 0.1 "0.3 ( 0 )" "20.28 ( 2.74 )" "3.25 ( 0.08 )" 22.03 0.75 0.3 20.2 3.25 "elnet" +1000 1000 0.1 1 0.05 "0.29 ( 0 )" "71.65 ( 3.47 )" "1.5 ( 0.1 )" 75.15 0.9 0.29 71.6 1.5 "elnet" +50 50 0.3 1 0.17 "0.56 ( 0.03 )" "15.98 ( 0.61 )" "0.26 ( 0.05 )" 20.72 0.7 0.56 15.9 0.26 "elnet" +100 50 0.3 0.5 0.2 "0.34 ( 0.01 )" "15.16 ( 0.6 )" "0 ( 0 )" 20.16 0.68 0.34 15.1 0 "elnet" +500 50 0.3 0.1 0.19 "0.27 ( 0 )" "15.78 ( 0.58 )" "0 ( 0 )" 20.78 0.69 0.27 15.7 0 "elnet" +1000 50 0.3 0.05 0.22 "0.26 ( 0 )" "14.34 ( 0.49 )" "0 ( 0 )" 19.34 0.67 0.26 14.3 0 "elnet" +50 100 0.3 2 0.13 "0.81 ( 0.05 )" "22.23 ( 1.04 )" "0.7 ( 0.08 )" 26.53 0.78 0.81 22.2 0.7 "elnet" +100 100 0.3 1 0.16 "0.42 ( 0.02 )" "23.17 ( 0.94 )" "0.02 ( 0.01 )" 28.15 0.77 0.42 23.1 0.02 "elnet" +500 100 0.3 0.2 0.18 "0.27 ( 0 )" "21.25 ( 0.84 )" "0 ( 0 )" 26.25 0.74 0.27 21.2 0 "elnet" +1000 100 0.3 0.1 0.2 "0.26 ( 0 )" "19.57 ( 0.81 )" "0 ( 0 )" 24.57 0.73 0.26 19.5 0 "elnet" +50 500 0.3 10 0.05 "1.29 ( 0.07 )" "43.56 ( 3.08 )" "2.15 ( 0.13 )" 46.41 0.89 1.29 43.5 2.15 "elnet" +100 500 0.3 5 0.13 "0.54 ( 0.02 )" "35.33 ( 1.21 )" "0.19 ( 0.05 )" 40.14 0.84 0.54 35.3 0.19 "elnet" +500 500 0.3 1 0.14 "0.28 ( 0 )" "35.68 ( 1.62 )" "0 ( 0 )" 40.68 0.83 0.28 35.6 0 "elnet" +1000 500 0.3 0.5 0.14 "0.27 ( 0 )" "36.15 ( 1.61 )" "0 ( 0 )" 41.15 0.83 0.27 36.1 0 "elnet" +50 1000 0.3 20 0.03 "1.3 ( 0.07 )" "61.12 ( 4.33 )" "2.56 ( 0.12 )" 63.56 0.93 1.3 61.1 2.56 "elnet" +100 1000 0.3 10 0.1 "0.68 ( 0.03 )" "41.5 ( 1.64 )" "0.61 ( 0.08 )" 45.89 0.87 0.68 41.5 0.61 "elnet" +500 1000 0.3 2 0.11 "0.29 ( 0 )" "46.27 ( 2.2 )" "0 ( 0 )" 51.27 0.86 0.29 46.2 0 "elnet" +1000 1000 0.3 1 0.13 "0.27 ( 0 )" "39.23 ( 2 )" "0 ( 0 )" 44.23 0.83 0.27 39.2 0 "elnet" +50 50 0.5 1 0.19 "0.65 ( 0.05 )" "15.43 ( 0.64 )" "0.1 ( 0.04 )" 20.33 0.68 0.65 15.4 0.1 "elnet" +100 50 0.5 0.5 0.2 "0.34 ( 0.01 )" "14.94 ( 0.61 )" "0 ( 0 )" 19.94 0.67 0.34 14.9 0 "elnet" +500 50 0.5 0.1 0.2 "0.27 ( 0 )" "15.76 ( 0.59 )" "0 ( 0 )" 20.76 0.69 0.27 15.7 0 "elnet" +1000 50 0.5 0.05 0.25 "0.26 ( 0 )" "12.73 ( 0.5 )" "0 ( 0 )" 17.73 0.63 0.26 12.7 0 "elnet" +50 100 0.5 2 0.16 "0.8 ( 0.05 )" "21.3 ( 0.83 )" "0.3 ( 0.06 )" 26 0.76 0.8 21.3 0.3 "elnet" +100 100 0.5 1 0.18 "0.37 ( 0.01 )" "21.74 ( 0.84 )" "0 ( 0 )" 26.74 0.75 0.37 21.7 0 "elnet" +500 100 0.5 0.2 0.19 "0.27 ( 0 )" "20.71 ( 0.8 )" "0 ( 0 )" 25.71 0.74 0.27 20.7 0 "elnet" +1000 100 0.5 0.1 0.18 "0.26 ( 0 )" "20.53 ( 0.72 )" "0 ( 0 )" 25.53 0.75 0.26 20.5 0 "elnet" +50 500 0.5 10 0.08 "1.61 ( 0.1 )" "36.33 ( 2.13 )" "1.58 ( 0.11 )" 39.75 0.87 1.61 36.3 1.58 "elnet" +100 500 0.5 5 0.14 "0.53 ( 0.02 )" "34.91 ( 1.29 )" "0.02 ( 0.01 )" 39.89 0.83 0.53 34.9 0.02 "elnet" +500 500 0.5 1 0.15 "0.28 ( 0 )" "32.67 ( 1.7 )" "0 ( 0 )" 37.67 0.8 0.28 32.6 0 "elnet" +1000 500 0.5 0.5 0.14 "0.26 ( 0 )" "33.71 ( 1.97 )" "0 ( 0 )" 38.71 0.8 0.26 33.7 0 "elnet" +50 1000 0.5 20 0.04 "2 ( 0.1 )" "52.83 ( 3.84 )" "2.29 ( 0.1 )" 55.54 0.91 2 52.8 2.29 "elnet" +100 1000 0.5 10 0.11 "0.68 ( 0.03 )" "43.94 ( 1.56 )" "0.14 ( 0.03 )" 48.8 0.87 0.68 43.9 0.14 "elnet" +500 1000 0.5 2 0.14 "0.28 ( 0 )" "37.63 ( 1.92 )" "0 ( 0 )" 42.63 0.83 0.28 37.6 0 "elnet" +1000 1000 0.5 1 0.14 "0.27 ( 0 )" "35.42 ( 1.84 )" "0 ( 0 )" 40.42 0.82 0.27 35.4 0 "elnet" +50 50 0.7 1 0.18 "0.63 ( 0.04 )" "16.71 ( 0.61 )" "0.04 ( 0.02 )" 21.67 0.7 0.63 16.7 0.04 "elnet" +100 50 0.7 0.5 0.22 "0.33 ( 0.01 )" "14.2 ( 0.55 )" "0 ( 0 )" 19.2 0.66 0.33 14.2 0 "elnet" +500 50 0.7 0.1 0.22 "0.26 ( 0 )" "13.96 ( 0.52 )" "0 ( 0 )" 18.96 0.66 0.26 13.9 0 "elnet" +1000 50 0.7 0.05 0.25 "0.26 ( 0 )" "12.77 ( 0.52 )" "0 ( 0 )" 17.77 0.63 0.26 12.7 0 "elnet" +50 100 0.7 2 0.18 "0.86 ( 0.07 )" "19.83 ( 0.86 )" "0.11 ( 0.03 )" 24.72 0.74 0.86 19.8 0.11 "elnet" +100 100 0.7 1 0.17 "0.38 ( 0.01 )" "22.59 ( 1.11 )" "0 ( 0 )" 27.59 0.75 0.38 22.5 0 "elnet" +500 100 0.7 0.2 0.21 "0.28 ( 0 )" "17.78 ( 0.8 )" "0 ( 0 )" 22.78 0.7 0.28 17.7 0 "elnet" +1000 100 0.7 0.1 0.21 "0.26 ( 0 )" "18.55 ( 0.87 )" "0 ( 0 )" 23.55 0.71 0.26 18.5 0 "elnet" +50 500 0.7 10 0.1 "2.19 ( 0.14 )" "33.13 ( 1.76 )" "1.25 ( 0.11 )" 36.88 0.86 2.19 33.1 1.25 "elnet" +100 500 0.7 5 0.13 "0.51 ( 0.02 )" "37.39 ( 1.42 )" "0 ( 0 )" 42.39 0.84 0.51 37.3 0 "elnet" +500 500 0.7 1 0.16 "0.28 ( 0 )" "30.18 ( 1.66 )" "0 ( 0 )" 35.18 0.79 0.28 30.1 0 "elnet" +1000 500 0.7 0.5 0.15 "0.26 ( 0 )" "33.3 ( 1.59 )" "0 ( 0 )" 38.3 0.81 0.26 33.3 0 "elnet" +50 1000 0.7 20 0.06 "2.43 ( 0.14 )" "41.11 ( 2.8 )" "1.98 ( 0.11 )" 44.13 0.89 2.43 41.1 1.98 "elnet" +100 1000 0.7 10 0.12 "0.68 ( 0.03 )" "42.68 ( 1.53 )" "0.02 ( 0.01 )" 47.66 0.86 0.68 42.6 0.02 "elnet" +500 1000 0.7 2 0.12 "0.29 ( 0 )" "42.75 ( 2.32 )" "0 ( 0 )" 47.75 0.84 0.29 42.7 0 "elnet" +1000 1000 0.7 1 0.14 "0.27 ( 0 )" "36.88 ( 2.33 )" "0 ( 0 )" 41.88 0.81 0.27 36.8 0 "elnet" +50 50 0.9 1 0.21 "0.56 ( 0.03 )" "14.5 ( 0.57 )" "0.03 ( 0.02 )" 19.47 0.67 0.56 14.5 0.03 "elnet" +100 50 0.9 0.5 0.23 "0.33 ( 0.01 )" "13.9 ( 0.6 )" "0 ( 0 )" 18.9 0.65 0.33 13.9 0 "elnet" +500 50 0.9 0.1 0.25 "0.26 ( 0 )" "12.75 ( 0.49 )" "0 ( 0 )" 17.75 0.63 0.26 12.7 0 "elnet" +1000 50 0.9 0.05 0.25 "0.26 ( 0 )" "12.64 ( 0.49 )" "0 ( 0 )" 17.64 0.63 0.26 12.6 0 "elnet" +50 100 0.9 2 0.18 "0.75 ( 0.04 )" "20.94 ( 0.7 )" "0.07 ( 0.03 )" 25.87 0.75 0.75 20.9 0.07 "elnet" +100 100 0.9 1 0.18 "0.38 ( 0.01 )" "20.8 ( 0.95 )" "0 ( 0 )" 25.8 0.73 0.38 20.8 0 "elnet" +500 100 0.9 0.2 0.2 "0.26 ( 0 )" "18.74 ( 0.84 )" "0 ( 0 )" 23.74 0.72 0.26 18.7 0 "elnet" +1000 100 0.9 0.1 0.19 "0.26 ( 0 )" "19.91 ( 0.91 )" "0 ( 0 )" 24.91 0.72 0.26 19.9 0 "elnet" +50 500 0.9 10 0.1 "2.21 ( 0.15 )" "35.26 ( 2.1 )" "0.98 ( 0.09 )" 39.28 0.85 2.21 35.2 0.98 "elnet" +100 500 0.9 5 0.14 "0.5 ( 0.02 )" "35.7 ( 1.48 )" "0 ( 0 )" 40.7 0.83 0.5 35.7 0 "elnet" +500 500 0.9 1 0.15 "0.28 ( 0 )" "32.6 ( 1.76 )" "0 ( 0 )" 37.6 0.81 0.28 32.6 0 "elnet" +1000 500 0.9 0.5 0.16 "0.26 ( 0 )" "30.4 ( 1.66 )" "0 ( 0 )" 35.4 0.79 0.26 30.4 0 "elnet" +50 1000 0.9 20 0.07 "3.06 ( 0.18 )" "43.09 ( 2.82 )" "1.57 ( 0.1 )" 46.52 0.88 3.06 43 1.57 "elnet" +100 1000 0.9 10 0.12 "0.59 ( 0.03 )" "43.91 ( 1.31 )" "0 ( 0 )" 48.91 0.87 0.59 43.9 0 "elnet" +500 1000 0.9 2 0.12 "0.29 ( 0 )" "41.57 ( 2.28 )" "0 ( 0 )" 46.57 0.84 0.29 41.5 0 "elnet" +1000 1000 0.9 1 0.13 "0.27 ( 0 )" "38.76 ( 2.16 )" "0 ( 0 )" 43.76 0.82 0.27 38.7 0 "elnet" +50 50 0.1 1 0 "0.08 ( 0 )" "1 ( 0 )" "6 ( 0 )" 0 NA 0.08 0 6 "rf" +100 50 0.1 0.5 0.03 "0.07 ( 0 )" "2.26 ( 0.17 )" "5.06 ( 0.12 )" 3.04 0.7 0.07 2.26 5.06 "rf" +500 50 0.1 0.1 0.23 "0.05 ( 0 )" "2.34 ( 0.16 )" "3.77 ( 0.14 )" 4.56 0.49 0.05 2.34 3.77 "rf" +1000 50 0.1 0.05 0.51 "0.05 ( 0 )" "2.37 ( 0.16 )" "2.54 ( 0.11 )" 5.83 0.38 0.05 2.37 2.54 "rf" +50 100 0.1 2 0 "0.08 ( 0 )" "1 ( 0 )" "6 ( 0 )" 0 NA 0.08 0 6 "rf" +100 100 0.1 1 0.01 "0.07 ( 0 )" "4.76 ( 0.27 )" "5.51 ( 0.09 )" 5.24 0.91 0.07 4.76 5.51 "rf" +500 100 0.1 0.2 0.22 "0.05 ( 0 )" "4.86 ( 0.25 )" "3.36 ( 0.15 )" 7.5 0.63 0.05 4.86 3.36 "rf" +1000 100 0.1 0.1 0.52 "0.05 ( 0 )" "4.65 ( 0.2 )" "1.99 ( 0.13 )" 8.66 0.52 0.05 4.65 1.99 "rf" +50 500 0.1 10 0 "0.08 ( 0 )" "1 ( 0 )" "6 ( 0 )" 0 NA 0.08 0 6 "rf" +100 500 0.1 5 0 "0.07 ( 0 )" "23.53 ( 0.53 )" "5.27 ( 0.11 )" 24.26 0.97 0.07 23.5 5.27 "rf" +500 500 0.1 1 0.07 "0.06 ( 0 )" "23.98 ( 0.51 )" "3.3 ( 0.16 )" 26.68 0.9 0.06 23.9 3.3 "rf" +1000 500 0.1 0.5 0.17 "0.05 ( 0 )" "23.6 ( 0.51 )" "1.93 ( 0.15 )" 27.67 0.85 0.05 23.6 1.93 "rf" +50 1000 0.1 20 0 "0.08 ( 0 )" "1 ( 0 )" "6 ( 0 )" 0 NA 0.08 0 6 "rf" +100 1000 0.1 10 0 "0.06 ( 0 )" "48.27 ( 0.79 )" "5.46 ( 0.08 )" 48.81 0.99 0.06 48.2 5.46 "rf" +500 1000 0.1 2 0.02 "0.06 ( 0 )" "48.48 ( 0.7 )" "3.65 ( 0.16 )" 50.83 0.95 0.06 48.4 3.65 "rf" +1000 1000 0.1 1 0.07 "0.05 ( 0 )" "47.72 ( 0.68 )" "2.25 ( 0.14 )" 51.47 0.93 0.05 47.7 2.25 "rf" +50 50 0.3 1 0 "0.31 ( 0.01 )" "1 ( 0 )" "6 ( 0 )" 0 NA 0.31 0 6 "rf" +100 50 0.3 0.5 0.05 "0.25 ( 0.01 )" "1.97 ( 0.13 )" "4.84 ( 0.08 )" 3.11 0.59 0.25 1.97 4.84 "rf" +500 50 0.3 0.1 0.65 "0.16 ( 0 )" "0.74 ( 0.08 )" "1.78 ( 0.08 )" 4.96 0.14 0.16 0.74 1.78 "rf" +1000 50 0.3 0.05 0.84 "0.13 ( 0 )" "0.3 ( 0.05 )" "0.69 ( 0.07 )" 5.61 0.05 0.13 0.3 0.69 "rf" +50 100 0.3 2 0 "0.32 ( 0.01 )" "1 ( 0 )" "6 ( 0 )" 0 NA 0.32 0 6 "rf" +100 100 0.3 1 0.05 "0.25 ( 0.01 )" "4.14 ( 0.18 )" "4.63 ( 0.1 )" 5.51 0.74 0.25 4.14 4.63 "rf" +500 100 0.3 0.2 0.47 "0.19 ( 0 )" "2.7 ( 0.14 )" "1.77 ( 0.09 )" 6.93 0.37 0.19 2.7 1.77 "rf" +1000 100 0.3 0.1 0.66 "0.16 ( 0 )" "1.78 ( 0.13 )" "0.64 ( 0.07 )" 7.14 0.23 0.16 1.78 0.64 "rf" +50 500 0.3 10 0 "0.36 ( 0.02 )" "1 ( 0 )" "6 ( 0 )" 0 NA 0.36 0 6 "rf" +100 500 0.3 5 0.01 "0.25 ( 0.01 )" "25.01 ( 0.53 )" "4.87 ( 0.09 )" 26.14 0.96 0.25 25 4.87 "rf" +500 500 0.3 1 0.09 "0.23 ( 0 )" "22.67 ( 0.44 )" "2.42 ( 0.09 )" 26.25 0.86 0.23 22.6 2.42 "rf" +1000 500 0.3 0.5 0.16 "0.22 ( 0 )" "19.38 ( 0.47 )" "1.14 ( 0.07 )" 24.24 0.79 0.22 19.3 1.14 "rf" +50 1000 0.3 20 0 "0.34 ( 0.01 )" "1 ( 0 )" "6 ( 0 )" 0 NA 0.34 0 6 "rf" +100 1000 0.3 10 0 "0.26 ( 0.01 )" "48.76 ( 0.63 )" "5.22 ( 0.09 )" 49.54 0.98 0.26 48.7 5.22 "rf" +500 1000 0.3 2 0.04 "0.23 ( 0 )" "46.28 ( 0.69 )" "2.72 ( 0.1 )" 49.56 0.93 0.23 46.2 2.72 "rf" +1000 1000 0.3 1 0.07 "0.23 ( 0 )" "44.67 ( 0.68 )" "1.33 ( 0.08 )" 49.34 0.9 0.23 44.6 1.33 "rf" +50 50 0.5 1 0 "0.6 ( 0.03 )" "1 ( 0 )" "6 ( 0 )" 0 NA 0.6 0 6 "rf" +100 50 0.5 0.5 0.09 "0.42 ( 0.01 )" "1.75 ( 0.14 )" "4.6 ( 0.09 )" 3.15 0.5 0.42 1.75 4.6 "rf" +500 50 0.5 0.1 0.71 "0.26 ( 0 )" "0.56 ( 0.07 )" "1.57 ( 0.08 )" 4.99 0.1 0.26 0.56 1.57 "rf" +1000 50 0.5 0.05 0.85 "0.2 ( 0 )" "0.24 ( 0.05 )" "0.73 ( 0.07 )" 5.51 0.04 0.2 0.24 0.73 "rf" +50 100 0.5 2 0 "0.6 ( 0.02 )" "1 ( 0 )" "6 ( 0 )" 0 NA 0.6 0 6 "rf" +100 100 0.5 1 0.06 "0.47 ( 0.02 )" "4.15 ( 0.17 )" "4.61 ( 0.09 )" 5.54 0.74 0.47 4.15 4.61 "rf" +500 100 0.5 0.2 0.52 "0.32 ( 0 )" "2.32 ( 0.14 )" "1.5 ( 0.09 )" 6.82 0.32 0.32 2.32 1.5 "rf" +1000 100 0.5 0.1 0.73 "0.26 ( 0 )" "1.21 ( 0.1 )" "0.6 ( 0.07 )" 6.61 0.17 0.26 1.21 0.6 "rf" +50 500 0.5 10 0 "0.58 ( 0.02 )" "1 ( 0 )" "6 ( 0 )" 0 NA 0.58 0 6 "rf" +100 500 0.5 5 0.01 "0.46 ( 0.01 )" "24.25 ( 0.46 )" "4.96 ( 0.09 )" 25.29 0.96 0.46 24.2 4.96 "rf" +500 500 0.5 1 0.11 "0.41 ( 0 )" "21.23 ( 0.42 )" "2.01 ( 0.1 )" 25.22 0.84 0.41 21.2 2.01 "rf" +1000 500 0.5 0.5 0.17 "0.37 ( 0 )" "18.91 ( 0.41 )" "0.96 ( 0.07 )" 23.95 0.78 0.37 18.9 0.96 "rf" +50 1000 0.5 20 0 "0.57 ( 0.02 )" "1 ( 0 )" "6 ( 0 )" 0 NA 0.57 0 6 "rf" +100 1000 0.5 10 0 "0.47 ( 0.01 )" "49.88 ( 0.68 )" "5.13 ( 0.08 )" 50.75 0.98 0.47 49.8 5.13 "rf" +500 1000 0.5 2 0.05 "0.42 ( 0 )" "45.98 ( 0.68 )" "2.22 ( 0.09 )" 49.76 0.92 0.42 45.9 2.22 "rf" +1000 1000 0.5 1 0.08 "0.4 ( 0 )" "44.42 ( 0.63 )" "1.13 ( 0.07 )" 49.29 0.9 0.4 44.4 1.13 "rf" +50 50 0.7 1 0 "0.8 ( 0.04 )" "1 ( 0 )" "6 ( 0 )" 0 NA 0.8 0 6 "rf" +100 50 0.7 0.5 0.11 "0.59 ( 0.02 )" "1.85 ( 0.14 )" "4.52 ( 0.08 )" 3.32 0.51 0.59 1.85 4.52 "rf" +500 50 0.7 0.1 0.71 "0.35 ( 0 )" "0.51 ( 0.07 )" "1.72 ( 0.09 )" 4.79 0.1 0.35 0.51 1.72 "rf" +1000 50 0.7 0.05 0.87 "0.27 ( 0 )" "0.18 ( 0.05 )" "0.72 ( 0.07 )" 5.46 0.03 0.27 0.18 0.72 "rf" +50 100 0.7 2 0 "0.92 ( 0.04 )" "1 ( 0 )" "6 ( 0 )" 0 NA 0.92 0 6 "rf" +100 100 0.7 1 0.05 "0.63 ( 0.02 )" "4.69 ( 0.18 )" "4.65 ( 0.09 )" 6.04 0.77 0.63 4.69 4.65 "rf" +500 100 0.7 0.2 0.53 "0.43 ( 0 )" "2.27 ( 0.15 )" "1.46 ( 0.09 )" 6.81 0.31 0.43 2.27 1.46 "rf" +1000 100 0.7 0.1 0.71 "0.35 ( 0 )" "1.47 ( 0.13 )" "0.63 ( 0.06 )" 6.84 0.19 0.35 1.47 0.63 "rf" +50 500 0.7 10 0 "0.91 ( 0.04 )" "1 ( 0 )" "6 ( 0 )" 0 NA 0.91 0 6 "rf" +100 500 0.7 5 0.01 "0.69 ( 0.02 )" "24.52 ( 0.45 )" "4.6 ( 0.09 )" 25.92 0.95 0.69 24.5 4.6 "rf" +500 500 0.7 1 0.12 "0.57 ( 0.01 )" "20.96 ( 0.41 )" "1.86 ( 0.09 )" 25.1 0.83 0.57 20.9 1.86 "rf" +1000 500 0.7 0.5 0.17 "0.52 ( 0 )" "18.88 ( 0.46 )" "1.01 ( 0.08 )" 23.87 0.78 0.52 18.8 1.01 "rf" +50 1000 0.7 20 0 "0.91 ( 0.04 )" "1 ( 0 )" "6 ( 0 )" 0 NA 0.91 0 6 "rf" +100 1000 0.7 10 0.01 "0.66 ( 0.02 )" "49.65 ( 0.71 )" "4.89 ( 0.09 )" 50.76 0.98 0.66 49.6 4.89 "rf" +500 1000 0.7 2 0.05 "0.6 ( 0.01 )" "47.23 ( 0.73 )" "2.18 ( 0.1 )" 51.05 0.92 0.6 47.2 2.18 "rf" +1000 1000 0.7 1 0.08 "0.57 ( 0 )" "43.91 ( 0.67 )" "1.1 ( 0.08 )" 48.81 0.9 0.57 43.9 1.1 "rf" +50 50 0.9 1 0 "1.1 ( 0.04 )" "1 ( 0 )" "6 ( 0 )" 0 NA 1.1 0 6 "rf" +100 50 0.9 0.5 0.16 "0.78 ( 0.02 )" "1.56 ( 0.11 )" "4.38 ( 0.09 )" 3.16 0.46 0.78 1.56 4.38 "rf" +500 50 0.9 0.1 0.74 "0.44 ( 0 )" "0.45 ( 0.06 )" "1.49 ( 0.08 )" 4.96 0.08 0.44 0.45 1.49 "rf" +1000 50 0.9 0.05 0.86 "0.34 ( 0 )" "0.14 ( 0.04 )" "0.86 ( 0.08 )" 5.28 0.02 0.34 0.14 0.86 "rf" +50 100 0.9 2 0 "1.11 ( 0.05 )" "1 ( 0 )" "6 ( 0 )" 0 NA 1.11 0 6 "rf" +100 100 0.9 1 0.09 "0.84 ( 0.02 )" "3.94 ( 0.18 )" "4.32 ( 0.09 )" 5.62 0.68 0.84 3.94 4.32 "rf" +500 100 0.9 0.2 0.55 "0.54 ( 0.01 )" "2.11 ( 0.15 )" "1.47 ( 0.08 )" 6.64 0.29 0.54 2.11 1.47 "rf" +1000 100 0.9 0.1 0.76 "0.44 ( 0 )" "1.05 ( 0.11 )" "0.55 ( 0.06 )" 6.5 0.14 0.44 1.05 0.55 "rf" +50 500 0.9 10 0 "1.18 ( 0.05 )" "1 ( 0 )" "6 ( 0 )" 0 NA 1.18 0 6 "rf" +100 500 0.9 5 0.01 "0.86 ( 0.02 )" "24.13 ( 0.47 )" "4.7 ( 0.09 )" 25.43 0.95 0.86 24.1 4.7 "rf" +500 500 0.9 1 0.12 "0.73 ( 0.01 )" "20.83 ( 0.45 )" "2.04 ( 0.09 )" 24.79 0.84 0.73 20.8 2.04 "rf" +1000 500 0.9 0.5 0.18 "0.68 ( 0.01 )" "18.47 ( 0.43 )" "1 ( 0.07 )" 23.47 0.78 0.68 18.4 0 "rf" +50 1000 0.9 20 0 "1.22 ( 0.05 )" "1 ( 0 )" "6 ( 0 )" 0 NA 1.22 0 6 "rf" +100 1000 0.9 10 0.01 "0.93 ( 0.02 )" "49.18 ( 0.69 )" "4.67 ( 0.09 )" 50.51 0.97 0.93 49.1 4.67 "rf" +500 1000 0.9 2 0.06 "0.78 ( 0.01 )" "46.01 ( 0.7 )" "2.14 ( 0.09 )" 49.87 0.92 0.78 46 2.14 "rf" +1000 1000 0.9 1 0.08 "0.74 ( 0.01 )" "43.05 ( 0.72 )" "1.17 ( 0.08 )" 47.88 0.9 0.74 43 1.17 "rf" +50 50 0.1 1 0.03 "0.36 ( 0.01 )" "2.8 ( 0.36 )" "5.01 ( 0.09 )" 3.79 0.62 0.36 2.8 5.01 "compLasso" +100 50 0.1 0.5 0.1 "0.32 ( 0.01 )" "4.96 ( 0.55 )" "3.77 ( 0.14 )" 7.19 0.55 0.32 4.96 3.77 "compLasso" +500 50 0.1 0.1 0.26 "0.28 ( 0 )" "8.81 ( 0.4 )" "0.78 ( 0.08 )" 14.03 0.6 0.28 8.81 0.78 "compLasso" +1000 50 0.1 0.05 0.31 "0.27 ( 0 )" "8.37 ( 0.37 )" "0.24 ( 0.06 )" 14.13 0.56 0.27 8.37 0.24 "compLasso" +50 100 0.1 2 0.04 "0.37 ( 0.02 )" "2.54 ( 0.37 )" "5.22 ( 0.08 )" 3.32 0.63 0.37 2.54 5.22 "compLasso" +100 100 0.1 1 0.07 "0.35 ( 0.01 )" "3.99 ( 0.57 )" "4.63 ( 0.1 )" 5.36 0.56 0.35 3.99 4.63 "compLasso" +500 100 0.1 0.2 0.18 "0.29 ( 0 )" "13.62 ( 0.62 )" "1.22 ( 0.11 )" 18.4 0.69 0.29 13.6 1.22 "compLasso" +1000 100 0.1 0.1 0.23 "0.28 ( 0 )" "13.35 ( 0.59 )" "0.47 ( 0.07 )" 18.88 0.67 0.28 13.3 0.47 "compLasso" +50 500 0.1 10 0.01 "0.36 ( 0.02 )" "3.53 ( 0.44 )" "5.62 ( 0.07 )" 3.91 0.85 0.36 3.53 5.62 "compLasso" +100 500 0.1 5 0.05 "0.36 ( 0.01 )" "2.58 ( 0.45 )" "5.29 ( 0.08 )" 3.29 0.64 0.36 2.58 5.29 "compLasso" +500 500 0.1 1 0.36 "0.32 ( 0.01 )" "2.42 ( 0.56 )" "3.74 ( 0.08 )" 4.68 0.29 0.32 2.42 3.74 "compLasso" +1000 500 0.1 0.5 0.14 "0.3 ( 0 )" "19.4 ( 1.74 )" "2.05 ( 0.12 )" 23.35 0.66 0.3 19.4 2.05 "compLasso" +50 1000 0.1 20 0 "0.37 ( 0.02 )" "4.53 ( 0.54 )" "5.71 ( 0.06 )" 4.82 0.91 0.37 4.53 5.71 "compLasso" +100 1000 0.1 10 0.02 "0.36 ( 0.01 )" "4.14 ( 0.72 )" "5.4 ( 0.08 )" 4.74 0.78 0.36 4.14 5.4 "compLasso" +500 1000 0.1 2 0.52 "0.34 ( 0 )" "0.93 ( 0.19 )" "3.83 ( 0.06 )" 3.1 0.21 0.34 0.93 3.83 "compLasso" +1000 1000 0.1 1 0.21 "0.31 ( 0 )" "8.59 ( 1.37 )" "2.96 ( 0.1 )" 11.63 0.36 0.31 8.59 2.96 "compLasso" +50 50 0.3 1 0.32 "0.8 ( 0.05 )" "5.34 ( 0.32 )" "1.21 ( 0.12 )" 10.13 0.48 0.8 5.34 1.21 "compLasso" +100 50 0.3 0.5 0.5 "0.52 ( 0.02 )" "4.42 ( 0.52 )" "0.1 ( 0.03 )" 10.32 0.33 0.52 4.42 0.1 "compLasso" +500 50 0.3 0.1 0.91 "0.55 ( 0.02 )" "0.53 ( 0.16 )" "0 ( 0 )" 6.53 0.05 0.55 0.53 0 "compLasso" +1000 50 0.3 0.05 0.89 "0.56 ( 0.02 )" "0.66 ( 0.18 )" "0 ( 0 )" 6.66 0.06 0.56 0.66 0 "compLasso" +50 100 0.3 2 0.27 "0.94 ( 0.05 )" "6 ( 0.34 )" "1.93 ( 0.14 )" 10.07 0.54 0.94 6 1.93 "compLasso" +100 100 0.3 1 0.47 "0.53 ( 0.02 )" "5.24 ( 0.45 )" "0.24 ( 0.06 )" 11 0.4 0.53 5.24 0.24 "compLasso" +500 100 0.3 0.2 0.91 "0.54 ( 0.02 )" "0.54 ( 0.15 )" "0 ( 0 )" 6.54 0.06 0.54 0.54 0 "compLasso" +1000 100 0.3 0.1 0.92 "0.55 ( 0.02 )" "0.51 ( 0.15 )" "0 ( 0 )" 6.51 0.05 0.55 0.51 0 "compLasso" +50 500 0.3 10 0.13 "1.31 ( 0.06 )" "5.44 ( 0.44 )" "3.96 ( 0.15 )" 7.48 0.69 1.31 5.44 3.96 "compLasso" +100 500 0.3 5 0.3 "0.73 ( 0.03 )" "9 ( 0.76 )" "0.99 ( 0.12 )" 14.01 0.52 0.73 6 0.99 "compLasso" +500 500 0.3 1 0.95 "0.55 ( 0.01 )" "0.31 ( 0.08 )" "0 ( 0 )" 6.31 0.04 0.55 0.31 0 "compLasso" +1000 500 0.3 0.5 0.92 "0.57 ( 0.02 )" "0.49 ( 0.14 )" "0 ( 0 )" 6.49 0.05 0.57 0.49 0 "compLasso" +50 1000 0.3 20 0.07 "1.55 ( 0.08 )" "3.96 ( 0.47 )" "4.74 ( 0.14 )" 5.22 0.68 1.55 3.96 4.74 "compLasso" +100 1000 0.3 10 0.25 "0.84 ( 0.03 )" "9.51 ( 0.77 )" "1.58 ( 0.11 )" 13.93 0.58 0.84 9.51 1.58 "compLasso" +500 1000 0.3 2 0.92 "0.56 ( 0.01 )" "0.52 ( 0.14 )" "0 ( 0 )" 6.52 0.05 0.56 0.52 0 "compLasso" +1000 1000 0.3 1 0.95 "0.56 ( 0.02 )" "0.29 ( 0.08 )" "0 ( 0 )" 6.29 0.03 0.56 0.29 0 "compLasso" +50 50 0.5 1 0.42 "0.77 ( 0.04 )" "5.49 ( 0.31 )" "0.25 ( 0.06 )" 11.24 0.44 0.77 5.49 0.25 "compLasso" +100 50 0.5 0.5 0.68 "0.6 ( 0.03 )" "2.34 ( 0.31 )" "0.01 ( 0.01 )" 8.33 0.21 0.6 2.34 0.01 "compLasso" +500 50 0.5 0.1 0.93 "0.8 ( 0.03 )" "0.42 ( 0.12 )" "0 ( 0 )" 6.42 0.05 0.8 0.42 0 "compLasso" +1000 50 0.5 0.05 0.88 "0.78 ( 0.03 )" "0.7 ( 0.21 )" "0 ( 0 )" 6.7 0.07 0.78 0.7 0 "compLasso" +50 100 0.5 2 0.36 "1.03 ( 0.07 )" "5.95 ( 0.33 )" "0.96 ( 0.11 )" 10.99 0.49 1.03 5.95 0.96 "compLasso" +100 100 0.5 1 0.65 "0.64 ( 0.03 )" "2.9 ( 0.32 )" "0.03 ( 0.02 )" 8.87 0.27 0.64 2.9 0.03 "compLasso" +500 100 0.5 0.2 0.91 "0.76 ( 0.03 )" "0.56 ( 0.19 )" "0 ( 0 )" 6.56 0.05 0.76 0.56 0 "compLasso" +1000 100 0.5 0.1 0.93 "0.8 ( 0.03 )" "0.4 ( 0.09 )" "0 ( 0 )" 6.4 0.05 0.8 0.4 0 "compLasso" +50 500 0.5 10 0.22 "1.93 ( 0.1 )" "5.08 ( 0.41 )" "3.23 ( 0.15 )" 7.85 0.55 1.93 5.08 3.23 "compLasso" +100 500 0.5 5 0.45 "0.79 ( 0.03 )" "6.21 ( 0.54 )" "0.33 ( 0.07 )" 11.88 0.43 0.79 6.21 0.33 "compLasso" +500 500 0.5 1 0.94 "0.83 ( 0.03 )" "0.36 ( 0.11 )" "0 ( 0 )" 6.36 0.04 0.83 0.36 0 "compLasso" +1000 500 0.5 0.5 0.97 "0.87 ( 0.03 )" "0.19 ( 0.06 )" "0 ( 0 )" 6.19 0.02 0.87 0.19 0 "compLasso" +50 1000 0.5 20 0.15 "2.1 ( 0.11 )" "5.84 ( 0.49 )" "3.77 ( 0.14 )" 8.07 0.66 2.1 5.84 3.77 "compLasso" +100 1000 0.5 10 0.35 "0.91 ( 0.04 )" "8.88 ( 0.73 )" "0.52 ( 0.09 )" 14.36 0.51 0.91 8.88 0.52 "compLasso" +500 1000 0.5 2 0.98 "0.86 ( 0.02 )" "0.13 ( 0.05 )" "0 ( 0 )" 6.13 0.02 0.86 0.13 0 "compLasso" +1000 1000 0.5 1 0.95 "0.85 ( 0.02 )" "0.3 ( 0.11 )" "0 ( 0 )" 6.3 0.03 0.85 0.3 0 "compLasso" +50 50 0.7 1 0.49 "0.8 ( 0.06 )" "4.27 ( 0.31 )" "0.24 ( 0.06 )" 10.03 0.37 0.8 4.27 0.24 "compLasso" +100 50 0.7 0.5 0.75 "0.75 ( 0.03 )" "1.71 ( 0.28 )" "0 ( 0 )" 7.71 0.16 0.75 1.71 0 "compLasso" +500 50 0.7 0.1 0.9 "1 ( 0.04 )" "0.58 ( 0.19 )" "0 ( 0 )" 6.58 0.06 1 0.58 0 "compLasso" +1000 50 0.7 0.05 0.92 "0.98 ( 0.04 )" "0.43 ( 0.09 )" "0 ( 0 )" 6.43 0.05 0.98 0.43 0 "compLasso" +50 100 0.7 2 0.42 "1.14 ( 0.08 )" "5.46 ( 0.32 )" "0.55 ( 0.09 )" 10.91 0.46 1.14 5.46 0.55 "compLasso" +100 100 0.7 1 0.69 "0.82 ( 0.04 )" "2.46 ( 0.41 )" "0 ( 0 )" 8.46 0.21 0.82 2.46 0 "compLasso" +500 100 0.7 0.2 0.89 "1.01 ( 0.04 )" "0.68 ( 0.23 )" "0 ( 0 )" 6.68 0.06 1.01 0.68 0 "compLasso" +1000 100 0.7 0.1 0.94 "1.08 ( 0.04 )" "0.36 ( 0.09 )" "0 ( 0 )" 6.36 0.04 1.08 0.36 0 "compLasso" +50 500 0.7 10 0.26 "2.76 ( 0.17 )" "5.16 ( 0.4 )" "2.65 ( 0.15 )" 8.51 0.51 2.76 5.16 2.65 "compLasso" +100 500 0.7 5 0.52 "0.87 ( 0.03 )" "5.39 ( 0.52 )" "0.04 ( 0.02 )" 11.35 0.39 0.87 5.39 0.04 "compLasso" +500 500 0.7 1 0.94 "1.05 ( 0.04 )" "0.35 ( 0.1 )" "0 ( 0 )" 6.35 0.04 1.05 0.35 0 "compLasso" +1000 500 0.7 0.5 0.98 "1.14 ( 0.04 )" "0.14 ( 0.04 )" "0 ( 0 )" 6.14 0.02 1.14 0.14 0 "compLasso" +50 1000 0.7 20 0.2 "3.02 ( 0.16 )" "5.41 ( 0.43 )" "3.39 ( 0.13 )" 8.02 0.58 3.02 5.41 3.39 "compLasso" +100 1000 0.7 10 0.45 "0.91 ( 0.04 )" "6.6 ( 0.53 )" "0.2 ( 0.05 )" 12.4 0.45 0.91 6.6 0.2 "compLasso" +500 1000 0.7 2 0.95 "1.04 ( 0.04 )" "0.31 ( 0.1 )" "0 ( 0 )" 6.31 0.04 1.04 0.31 0 "compLasso" +1000 1000 0.7 1 0.97 "1.13 ( 0.04 )" "0.21 ( 0.07 )" "0 ( 0 )" 6.21 0.03 1.13 0.21 0 "compLasso" +50 50 0.9 1 0.48 "0.92 ( 0.07 )" "4.7 ( 0.32 )" "0.14 ( 0.04 )" 10.56 0.38 0.92 4.7 0.14 "compLasso" +100 50 0.9 0.5 0.76 "0.94 ( 0.05 )" "1.59 ( 0.25 )" "0 ( 0 )" 7.59 0.15 0.94 1.59 0 "compLasso" +500 50 0.9 0.1 0.92 "1.15 ( 0.06 )" "0.47 ( 0.11 )" "0 ( 0 )" 6.47 0.05 1.15 0.47 0 "compLasso" +1000 50 0.9 0.05 0.89 "1.28 ( 0.05 )" "0.62 ( 0.19 )" "0 ( 0 )" 6.62 0.06 1.28 0.62 0 "compLasso" +50 100 0.9 2 0.42 "1.28 ( 0.08 )" "5.86 ( 0.29 )" "0.47 ( 0.09 )" 11.39 0.48 1.28 5.86 0.47 "compLasso" +100 100 0.9 1 0.81 "0.94 ( 0.04 )" "1.34 ( 0.23 )" "0 ( 0 )" 7.34 0.14 0.94 1.34 0 "compLasso" +500 100 0.9 0.2 0.93 "1.16 ( 0.05 )" "0.43 ( 0.13 )" "0 ( 0 )" 6.43 0.05 1.16 0.43 0 "compLasso" +1000 100 0.9 0.1 0.94 "1.32 ( 0.05 )" "0.34 ( 0.1 )" "0 ( 0 )" 6.34 0.04 1.32 0.34 0 "compLasso" +50 500 0.9 10 0.25 "3.06 ( 0.18 )" "5.42 ( 0.4 )" "2.69 ( 0.15 )" 8.73 0.54 3.06 5.42 2.69 "compLasso" +100 500 0.9 5 0.58 "0.97 ( 0.04 )" "4.2 ( 0.49 )" "0.02 ( 0.02 )" 10.18 0.31 0.97 4.2 0.02 "compLasso" +500 500 0.9 1 0.93 "1.27 ( 0.05 )" "0.44 ( 0.18 )" "0 ( 0 )" 6.44 0.04 1.27 0.44 0 "compLasso" +1000 500 0.9 0.5 0.96 "1.31 ( 0.05 )" "0.23 ( 0.06 )" "0 ( 0 )" 6.23 0.03 1.31 0.23 0 "compLasso" +50 1000 0.9 20 0.23 "3.37 ( 0.19 )" "5.29 ( 0.41 )" "3.13 ( 0.15 )" 8.16 0.57 3.37 5.29 3.13 "compLasso" +100 1000 0.9 10 0.56 "1.14 ( 0.05 )" "4.56 ( 0.38 )" "0.07 ( 0.03 )" 10.49 0.37 1.14 4.56 0.07 "compLasso" +500 1000 0.9 2 0.96 "1.28 ( 0.04 )" "0.27 ( 0.11 )" "0 ( 0 )" 6.27 0.03 1.28 0.27 0 "compLasso" +1000 1000 0.9 1 0.95 "1.35 ( 0.05 )" "0.29 ( 0.09 )" "0 ( 0 )" 6.29 0.03 1.35 0.29 0 "compLasso" diff --git a/simulations/results_summary/table_ind_all.txt b/simulations/results_summary/table_ind_all.txt new file mode 100644 index 0000000..3952135 --- /dev/null +++ b/simulations/results_summary/table_ind_all.txt @@ -0,0 +1,65 @@ +"N" "P" "Ratio" "Stab" "MSE" "FP" "FN" "num_select" "FDR" "MSE_mean" "FP_mean" "FN_mean" "method" +50 50 1 0.37 "0.54 ( 0.03 )" "8.36 ( 0.45 )" "0.02 ( 0.01 )" 13.34 0.51 0.54 8.36 0.02 "lasso" +100 50 0.5 0.51 "0.36 ( 0.01 )" "5.5 ( 0.42 )" "0 ( 0 )" 10.5 0.37 0.36 5.5 0 "lasso" +500 50 0.1 0.79 "0.28 ( 0 )" "2.33 ( 0.14 )" "0 ( 0 )" 7.33 0.15 0.28 2.33 0 "lasso" +1000 50 0.05 0.86 "0.26 ( 0 )" "1.82 ( 0.13 )" "0 ( 0 )" 6.82 0.1 0.26 1.82 0 "lasso" +50 100 2 0.32 "0.66 ( 0.04 )" "11.1 ( 0.38 )" "0.08 ( 0.03 )" 16.02 0.61 0.66 11.1 0.08 "lasso" +100 100 1 0.46 "0.41 ( 0.01 )" "7.23 ( 0.4 )" "0 ( 0 )" 12.23 0.46 0.41 7.23 0 "lasso" +500 100 0.2 0.71 "0.29 ( 0 )" "3.26 ( 0.25 )" "0 ( 0 )" 8.26 0.22 0.29 3.26 0 "lasso" +1000 100 0.1 0.82 "0.27 ( 0 )" "2.25 ( 0.15 )" "0 ( 0 )" 7.25 0.15 0.27 2.25 0 "lasso" +50 500 10 0.19 "1.41 ( 0.11 )" "19.89 ( 0.38 )" "0.64 ( 0.08 )" 24.25 0.77 1.41 19.8 0.64 "lasso" +100 500 5 0.3 "0.48 ( 0.02 )" "14.71 ( 0.7 )" "0 ( 0 )" 19.71 0.66 0.48 14.7 0 "lasso" +500 500 1 0.61 "0.28 ( 0 )" "4.82 ( 0.34 )" "0 ( 0 )" 9.82 0.32 0.28 4.82 0 "lasso" +1000 500 0.5 0.72 "0.27 ( 0 )" "3.35 ( 0.32 )" "0 ( 0 )" 8.35 0.21 0.27 3.35 0 "lasso" +50 1000 20 0.14 "2.24 ( 0.19 )" "23.95 ( 0.37 )" "1.19 ( 0.09 )" 27.76 0.82 2.24 23.9 1.19 "lasso" +100 1000 10 0.25 "0.53 ( 0.02 )" "18.53 ( 0.59 )" "0 ( 0 )" 23.53 0.73 0.53 18.5 0 "lasso" +500 1000 2 0.52 "0.29 ( 0 )" "6.51 ( 0.45 )" "0 ( 0 )" 11.51 0.4 0.29 6.51 0 "lasso" +1000 1000 1 0.64 "0.27 ( 0 )" "4.39 ( 0.56 )" "0 ( 0 )" 9.39 0.26 0.27 4.39 0 "lasso" +50 50 1 0.2 "0.53 ( 0.03 )" "14.99 ( 0.59 )" "0 ( 0 )" 19.99 0.67 0.53 14.9 0 "elnet" +100 50 0.5 0.23 "0.34 ( 0.01 )" "13.46 ( 0.55 )" "0 ( 0 )" 18.46 0.65 0.34 13.4 0 "elnet" +500 50 0.1 0.23 "0.26 ( 0 )" "13.65 ( 0.56 )" "0 ( 0 )" 18.65 0.64 0.26 13.6 0 "elnet" +1000 50 0.05 0.27 "0.25 ( 0 )" "11.76 ( 0.53 )" "0 ( 0 )" 16.76 0.6 0.25 11.7 0 "elnet" +50 100 2 0.19 "0.74 ( 0.06 )" "19.45 ( 0.66 )" "0.04 ( 0.02 )" 24.41 0.74 0.74 19.4 0.04 "elnet" +100 100 1 0.2 "0.38 ( 0.01 )" "19.2 ( 1.02 )" "0 ( 0 )" 24.2 0.71 0.38 19.2 0 "elnet" +500 100 0.2 0.23 "0.27 ( 0 )" "16.28 ( 0.78 )" "0 ( 0 )" 21.28 0.67 0.27 16.2 0 "elnet" +1000 100 0.1 0.23 "0.26 ( 0 )" "17.05 ( 0.76 )" "0 ( 0 )" 22.05 0.69 0.26 17 0 "elnet" +50 500 10 0.13 "1.65 ( 0.13 )" "30.38 ( 1.24 )" "0.58 ( 0.08 )" 34.8 0.83 1.65 30.3 0.58 "elnet" +100 500 5 0.15 "0.5 ( 0.02 )" "32.18 ( 1.44 )" "0 ( 0 )" 37.18 0.81 0.5 32.1 0 "elnet" +500 500 1 0.16 "0.28 ( 0 )" "29.79 ( 1.73 )" "0 ( 0 )" 34.79 0.78 0.28 29.7 0 "elnet" +1000 500 0.5 0.18 "0.26 ( 0 )" "27.21 ( 1.58 )" "0 ( 0 )" 32.21 0.77 0.26 27.2 0 "elnet" +50 1000 20 0.1 "2.5 ( 0.22 )" "36.6 ( 2.03 )" "1.12 ( 0.09 )" 40.48 0.86 2.5 36.6 1.12 "elnet" +100 1000 10 0.13 "0.56 ( 0.02 )" "40.61 ( 1.71 )" "0 ( 0 )" 45.61 0.85 0.56 40.6 0 "elnet" +500 1000 2 0.14 "0.27 ( 0 )" "35.98 ( 2.2 )" "0 ( 0 )" 40.98 0.8 0.27 35.9 0 "elnet" +1000 1000 1 0.15 "0.27 ( 0 )" "34.65 ( 2.02 )" "0 ( 0 )" 39.65 0.79 0.27 34.6 0 "elnet" +50 50 1 0 "1.31 ( 0.06 )" "1 ( 0 )" "6 ( 0 )" 0 NA 1.31 0 6 "rf" +100 50 0.5 0.18 "0.85 ( 0.02 )" "1.85 ( 0.11 )" "4.11 ( 0.1 )" 3.74 0.48 0.85 1.85 4.11 "rf" +500 50 0.1 0.8 "0.47 ( 0.01 )" "0.3 ( 0.05 )" "1.61 ( 0.08 )" 4.69 0.05 0.47 0.3 1.61 "rf" +1000 50 0.05 0.88 "0.35 ( 0 )" "0.07 ( 0.03 )" "0.78 ( 0.07 )" 5.29 0.01 0.35 0.07 0.78 "rf" +50 100 2 0 "1.32 ( 0.05 )" "1 ( 0 )" "6 ( 0 )" 0 NA 1.32 0 6 "rf" +100 100 1 0.08 "0.91 ( 0.03 )" "4.33 ( 0.22 )" "4.45 ( 0.09 )" 5.88 0.72 0.91 4.33 4.45 "rf" +500 100 0.2 0.6 "0.59 ( 0.01 )" "1.91 ( 0.15 )" "1.41 ( 0.07 )" 6.5 0.27 0.59 1.91 1.41 "rf" +1000 100 0.1 0.81 "0.47 ( 0 )" "0.71 ( 0.09 )" "0.53 ( 0.06 )" 6.18 0.1 0.47 0.71 0.53 "rf" +50 500 10 0 "1.33 ( 0.05 )" "1 ( 0 )" "6 ( 0 )" 0 NA 1.33 0 6 "rf" +100 500 5 0.02 "1.07 ( 0.03 )" "23.8 ( 0.52 )" "4.26 ( 0.1 )" 25.54 0.93 1.07 23.8 4.26 "rf" +500 500 1 0.14 "0.84 ( 0.01 )" "19.92 ( 0.41 )" "1.71 ( 0.08 )" 24.21 0.82 0.84 19.9 1.71 "rf" +1000 500 0.5 0.19 "0.78 ( 0.01 )" "18.73 ( 0.42 )" "0.84 ( 0.06 )" 23.89 0.78 0.78 18.7 0.84 "rf" +50 1000 20 0 "1.31 ( 0.05 )" "1 ( 0 )" "6 ( 0 )" 0 NA 1.31 0 6 "rf" +100 1000 10 0.01 "1.06 ( 0.03 )" "48.48 ( 0.63 )" "4.33 ( 0.1 )" 50.15 0.97 1.06 48.4 4.33 "rf" +500 1000 2 0.06 "0.89 ( 0.01 )" "44.77 ( 0.71 )" "1.81 ( 0.1 )" 48.96 0.91 0.89 44.7 1.81 "rf" +1000 1000 1 0.09 "0.85 ( 0.01 )" "41.77 ( 0.68 )" "0.99 ( 0.07 )" 46.78 0.89 0.85 41.7 0.99 "rf" +50 50 1 0.61 "0.8 ( 0.05 )" "2.99 ( 0.27 )" "0.05 ( 0.02 )" 8.94 0.28 0.8 2.99 0.05 "compLasso" +100 50 0.5 0.87 "0.98 ( 0.06 )" "0.79 ( 0.15 )" "0 ( 0 )" 6.79 0.09 0.98 0.79 0 "compLasso" +500 50 0.1 0.91 "1.08 ( 0.05 )" "0.51 ( 0.11 )" "0 ( 0 )" 6.51 0.06 1.08 0.51 0 "compLasso" +1000 50 0.05 0.93 "1.18 ( 0.04 )" "0.39 ( 0.15 )" "0 ( 0 )" 6.39 0.04 1.18 0.39 0 "compLasso" +50 100 2 0.52 "1.05 ( 0.07 )" "4.3 ( 0.31 )" "0.24 ( 0.05 )" 10.06 0.37 1.05 4.3 0.24 "compLasso" +100 100 1 0.85 "0.94 ( 0.04 )" "1.02 ( 0.19 )" "0 ( 0 )" 7.02 0.11 0.94 1.02 0 "compLasso" +500 100 0.2 0.96 "1.16 ( 0.04 )" "0.25 ( 0.09 )" "0 ( 0 )" 6.25 0.03 1.16 0.25 0 "compLasso" +1000 100 0.1 0.89 "1.04 ( 0.05 )" "0.71 ( 0.15 )" "0 ( 0 )" 6.71 0.08 1.04 0.71 0 "compLasso" +50 500 10 0.38 "2.18 ( 0.13 )" "5.53 ( 0.36 )" "1.27 ( 0.11 )" 10.26 0.48 2.18 5.53 1.27 "compLasso" +100 500 5 0.75 "1 ( 0.05 )" "1.9 ( 0.29 )" "0.03 ( 0.02 )" 7.87 0.18 1 1.9 0.03 "compLasso" +500 500 1 0.96 "1.18 ( 0.04 )" "0.27 ( 0.13 )" "0 ( 0 )" 6.27 0.03 1.18 0.27 0 "compLasso" +1000 500 0.5 0.96 "1.24 ( 0.04 )" "0.25 ( 0.1 )" "0 ( 0 )" 6.25 0.03 1.24 0.25 0 "compLasso" +50 1000 20 0.32 "3.09 ( 0.23 )" "5.56 ( 0.36 )" "1.95 ( 0.14 )" 9.61 0.51 3.09 5.56 1.95 "compLasso" +100 1000 10 0.67 "1.1 ( 0.07 )" "2.8 ( 0.37 )" "0.04 ( 0.02 )" 8.76 0.24 1.1 2.8 0.04 "compLasso" +500 1000 2 0.96 "1.12 ( 0.04 )" "0.27 ( 0.08 )" "0 ( 0 )" 6.27 0.03 1.12 0.27 0 "compLasso" +1000 1000 1 0.96 "1.16 ( 0.04 )" "0.24 ( 0.07 )" "0 ( 0 )" 6.24 0.03 1.16 0.24 0 "compLasso" diff --git a/simulations/results_summary/table_toe_all.txt b/simulations/results_summary/table_toe_all.txt new file mode 100644 index 0000000..4bfa30c --- /dev/null +++ b/simulations/results_summary/table_toe_all.txt @@ -0,0 +1,321 @@ +"N" "P" "Corr" "Ratio" "Stab" "MSE" "FP" "FN" "num_select" "FDR" "MSE_mean" "FP_mean" "FN_mean" "method" +50 50 0.1 1 0.36 "0.62 ( 0.04 )" "8.59 ( 0.46 )" "0.02 ( 0.01 )" 13.57 0.51 0.62 8.59 0.02 "lasso" +100 50 0.1 0.5 0.47 "0.37 ( 0.01 )" "6.3 ( 0.43 )" "0 ( 0 )" 11.3 0.4 0.37 6.3 0 "lasso" +500 50 0.1 0.1 0.73 "0.28 ( 0 )" "2.88 ( 0.21 )" "0 ( 0 )" 7.88 0.2 0.28 2.88 0 "lasso" +1000 50 0.1 0.05 0.89 "0.27 ( 0 )" "1.66 ( 0.11 )" "0 ( 0 )" 6.66 0.08 0.27 1.66 0 "lasso" +50 100 0.1 2 0.32 "0.67 ( 0.05 )" "11.84 ( 0.4 )" "0 ( 0 )" 16.84 0.62 0.67 11.8 0 "lasso" +100 100 0.1 1 0.44 "0.4 ( 0.01 )" "7.71 ( 0.56 )" "0 ( 0 )" 12.71 0.46 0.4 7.71 0 "lasso" +500 100 0.1 0.2 0.7 "0.27 ( 0 )" "3.35 ( 0.22 )" "0 ( 0 )" 8.35 0.23 0.27 3.35 0 "lasso" +1000 100 0.1 0.1 0.81 "0.27 ( 0 )" "2.29 ( 0.23 )" "0 ( 0 )" 7.29 0.13 0.27 2.29 0 "lasso" +50 500 0.1 10 0.18 "1.61 ( 0.1 )" "20.85 ( 0.38 )" "0.69 ( 0.08 )" 25.16 0.78 1.61 20.8 0.69 "lasso" +100 500 0.1 5 0.3 "0.53 ( 0.02 )" "14.69 ( 0.7 )" "0 ( 0 )" 19.69 0.66 0.53 14.6 0 "lasso" +500 500 0.1 1 0.55 "0.28 ( 0 )" "5.86 ( 0.51 )" "0 ( 0 )" 10.86 0.36 0.28 5.86 0 "lasso" +1000 500 0.1 0.5 0.78 "0.28 ( 0 )" "2.69 ( 0.21 )" "0 ( 0 )" 7.69 0.17 0.28 2.69 0 "lasso" +50 1000 0.1 20 0.13 "2.23 ( 0.14 )" "24.37 ( 0.39 )" "1.36 ( 0.1 )" 28.01 0.83 2.23 24.3 1.36 "lasso" +100 1000 0.1 10 0.25 "0.57 ( 0.03 )" "18.79 ( 0.7 )" "0 ( 0 )" 23.79 0.73 0.57 18.7 0 "lasso" +500 1000 0.1 2 0.49 "0.28 ( 0 )" "7.08 ( 0.53 )" "0 ( 0 )" 12.08 0.41 0.28 7.08 0 "lasso" +1000 1000 0.1 1 0.7 "0.27 ( 0 )" "3.59 ( 0.33 )" "0 ( 0 )" 8.59 0.23 0.27 3.59 0 "lasso" +50 50 0.3 1 0.35 "0.57 ( 0.03 )" "8.86 ( 0.42 )" "0.05 ( 0.02 )" 13.81 0.53 0.57 8.86 0.05 "lasso" +100 50 0.3 0.5 0.47 "0.36 ( 0.01 )" "6.18 ( 0.36 )" "0 ( 0 )" 11.18 0.41 0.36 6.18 0 "lasso" +500 50 0.3 0.1 0.7 "0.28 ( 0 )" "3.14 ( 0.21 )" "0 ( 0 )" 8.14 0.22 0.28 3.14 0 "lasso" +1000 50 0.3 0.05 0.86 "0.27 ( 0 )" "1.86 ( 0.11 )" "0 ( 0 )" 6.86 0.11 0.27 1.86 0 "lasso" +50 100 0.3 2 0.31 "0.76 ( 0.04 )" "11.12 ( 0.37 )" "0.17 ( 0.04 )" 15.95 0.62 0.76 11.1 0.17 "lasso" +100 100 0.3 1 0.38 "0.41 ( 0.01 )" "9.43 ( 0.53 )" "0 ( 0 )" 14.43 0.54 0.41 9.43 0 "lasso" +500 100 0.3 0.2 0.63 "0.27 ( 0 )" "4.16 ( 0.27 )" "0 ( 0 )" 9.16 0.29 0.27 4.16 0 "lasso" +1000 100 0.3 0.1 0.8 "0.27 ( 0 )" "2.36 ( 0.17 )" "0 ( 0 )" 7.36 0.15 0.27 2.36 0 "lasso" +50 500 0.3 10 0.14 "1.78 ( 0.11 )" "21.4 ( 0.41 )" "1.39 ( 0.1 )" 25.01 0.81 1.78 21.4 1.39 "lasso" +100 500 0.3 5 0.26 "0.53 ( 0.02 )" "16.81 ( 0.77 )" "0.02 ( 0.01 )" 21.79 0.7 0.53 16.8 0.02 "lasso" +500 500 0.3 1 0.55 "0.29 ( 0 )" "5.89 ( 0.51 )" "0 ( 0 )" 10.89 0.36 0.29 5.89 0 "lasso" +1000 500 0.3 0.5 0.69 "0.27 ( 0 )" "3.68 ( 0.32 )" "0 ( 0 )" 8.68 0.25 0.27 3.68 0 "lasso" +50 1000 0.3 20 0.11 "2.21 ( 0.15 )" "25.14 ( 0.35 )" "1.87 ( 0.1 )" 28.27 0.85 2.21 25.1 1.87 "lasso" +100 1000 0.3 10 0.22 "0.61 ( 0.03 )" "21.11 ( 0.75 )" "0.02 ( 0.01 )" 26.09 0.75 0.61 21.1 0.02 "lasso" +500 1000 0.3 2 0.47 "0.28 ( 0 )" "7.69 ( 0.63 )" "0 ( 0 )" 12.69 0.45 0.28 7.69 0 "lasso" +1000 1000 0.3 1 0.58 "0.27 ( 0 )" "5.27 ( 0.46 )" "0 ( 0 )" 10.27 0.33 0.27 5.27 0 "lasso" +50 50 0.5 1 0.35 "0.63 ( 0.04 )" "8.51 ( 0.41 )" "0.17 ( 0.04 )" 13.34 0.53 0.63 8.51 0.17 "lasso" +100 50 0.5 0.5 0.42 "0.37 ( 0.01 )" "7.21 ( 0.33 )" "0.01 ( 0.01 )" 12.2 0.47 0.37 7.21 0.01 "lasso" +500 50 0.5 0.1 0.66 "0.27 ( 0 )" "3.64 ( 0.21 )" "0 ( 0 )" 8.64 0.27 0.27 3.64 0 "lasso" +1000 50 0.5 0.05 0.78 "0.27 ( 0 )" "2.46 ( 0.15 )" "0 ( 0 )" 7.46 0.17 0.27 2.46 0 "lasso" +50 100 0.5 2 0.24 "0.8 ( 0.05 )" "13.21 ( 0.46 )" "0.6 ( 0.07 )" 17.61 0.68 0.8 13.2 0.6 "lasso" +100 100 0.5 1 0.36 "0.44 ( 0.02 )" "10 ( 0.48 )" "0.02 ( 0.01 )" 14.98 0.56 0.44 10 0.02 "lasso" +500 100 0.5 0.2 0.62 "0.29 ( 0 )" "4.39 ( 0.28 )" "0 ( 0 )" 9.39 0.31 0.29 4.39 0 "lasso" +1000 100 0.5 0.1 0.71 "0.27 ( 0 )" "3.24 ( 0.22 )" "0 ( 0 )" 8.24 0.23 0.27 3.24 0 "lasso" +50 500 0.5 10 0.12 "1.73 ( 0.1 )" "21.69 ( 0.32 )" "1.93 ( 0.09 )" 24.76 0.83 1.73 21.6 1.93 "lasso" +100 500 0.5 5 0.23 "0.62 ( 0.03 )" "19.6 ( 0.76 )" "0.16 ( 0.04 )" 24.44 0.74 0.62 19.6 0.16 "lasso" +500 500 0.5 1 0.4 "0.29 ( 0 )" "9.79 ( 0.55 )" "0 ( 0 )" 14.79 0.54 0.29 9.79 0 "lasso" +1000 500 0.5 0.5 0.51 "0.28 ( 0 )" "6.66 ( 0.64 )" "0 ( 0 )" 11.66 0.38 0.28 6.66 0 "lasso" +50 1000 0.5 20 0.09 "2.17 ( 0.13 )" "25.13 ( 0.34 )" "2.69 ( 0.1 )" 27.44 0.88 2.17 25.1 2.69 "lasso" +100 1000 0.5 10 0.19 "0.75 ( 0.03 )" "23.22 ( 0.79 )" "0.26 ( 0.05 )" 27.96 0.78 0.75 23.2 0.26 "lasso" +500 1000 0.5 2 0.39 "0.3 ( 0 )" "10.46 ( 0.63 )" "0 ( 0 )" 15.46 0.54 0.3 10.4 0 "lasso" +1000 1000 0.5 1 0.48 "0.28 ( 0 )" "7.42 ( 0.6 )" "0 ( 0 )" 12.42 0.42 0.28 7.42 0 "lasso" +50 50 0.7 1 0.3 "0.66 ( 0.04 )" "9.27 ( 0.39 )" "0.47 ( 0.06 )" 13.8 0.57 0.66 9.27 0.47 "lasso" +100 50 0.7 0.5 0.39 "0.37 ( 0.01 )" "7.9 ( 0.35 )" "0.05 ( 0.03 )" 12.85 0.5 0.37 7.9 0.05 "lasso" +500 50 0.7 0.1 0.6 "0.27 ( 0 )" "4.38 ( 0.21 )" "0 ( 0 )" 9.38 0.33 0.27 4.38 0 "lasso" +1000 50 0.7 0.05 0.74 "0.27 ( 0 )" "2.84 ( 0.14 )" "0 ( 0 )" 7.84 0.21 0.27 2.84 0 "lasso" +50 100 0.7 2 0.23 "0.8 ( 0.04 )" "11.57 ( 0.53 )" "1.26 ( 0.1 )" 15.31 0.66 0.8 11.5 1.26 "lasso" +100 100 0.7 1 0.31 "0.39 ( 0.01 )" "11.68 ( 0.51 )" "0.1 ( 0.04 )" 16.58 0.61 0.39 11.6 0.1 "lasso" +500 100 0.7 0.2 0.49 "0.28 ( 0 )" "6.56 ( 0.32 )" "0 ( 0 )" 11.56 0.44 0.28 6.56 0 "lasso" +1000 100 0.7 0.1 0.63 "0.27 ( 0 )" "4.24 ( 0.26 )" "0 ( 0 )" 9.24 0.3 0.27 4.24 0 "lasso" +50 500 0.7 10 0.12 "1.37 ( 0.08 )" "19.8 ( 0.33 )" "2.78 ( 0.08 )" 22.02 0.85 1.37 19.8 2.78 "lasso" +100 500 0.7 5 0.19 "0.62 ( 0.03 )" "18.58 ( 0.85 )" "0.88 ( 0.08 )" 22.7 0.75 0.62 18.5 0.88 "lasso" +500 500 0.7 1 0.36 "0.3 ( 0 )" "11.31 ( 0.6 )" "0 ( 0 )" 16.31 0.58 0.3 11.3 0 "lasso" +1000 500 0.7 0.5 0.46 "0.27 ( 0 )" "7.93 ( 0.49 )" "0 ( 0 )" 12.93 0.47 0.27 7.93 0 "lasso" +50 1000 0.7 20 0.09 "1.5 ( 0.08 )" "22.99 ( 0.35 )" "3.2 ( 0.09 )" 24.79 0.88 1.5 22.9 3.2 "lasso" +100 1000 0.7 10 0.14 "0.77 ( 0.04 )" "22.43 ( 0.68 )" "1.45 ( 0.1 )" 25.98 0.82 0.77 22.4 1.45 "lasso" +500 1000 0.7 2 0.3 "0.31 ( 0 )" "14.7 ( 0.84 )" "0 ( 0 )" 19.7 0.65 0.31 14.7 0 "lasso" +1000 1000 0.7 1 0.41 "0.28 ( 0 )" "9.63 ( 0.54 )" "0 ( 0 )" 14.63 0.53 0.28 9.63 0 "lasso" +50 50 0.9 1 0.31 "0.55 ( 0.03 )" "5.65 ( 0.29 )" "2.17 ( 0.13 )" 8.48 0.51 0.55 5.65 2.17 "lasso" +100 50 0.9 0.5 0.38 "0.38 ( 0.02 )" "5.85 ( 0.3 )" "1.03 ( 0.11 )" 9.82 0.45 0.38 5.85 1.03 "lasso" +500 50 0.9 0.1 0.61 "0.28 ( 0 )" "4.34 ( 0.19 )" "0.01 ( 0.01 )" 9.33 0.33 0.28 4.34 0.01 "lasso" +1000 50 0.9 0.05 0.76 "0.27 ( 0 )" "2.71 ( 0.12 )" "0 ( 0 )" 7.71 0.2 0.27 2.71 0 "lasso" +50 100 0.9 2 0.26 "0.6 ( 0.03 )" "7.26 ( 0.35 )" "2.69 ( 0.1 )" 9.57 0.62 0.6 7.26 2.69 "lasso" +100 100 0.9 1 0.31 "0.44 ( 0.01 )" "7.79 ( 0.39 )" "1.51 ( 0.11 )" 11.28 0.57 0.44 7.79 1.51 "lasso" +500 100 0.9 0.2 0.51 "0.29 ( 0 )" "6.45 ( 0.27 )" "0 ( 0 )" 11.45 0.45 0.29 6.45 0 "lasso" +1000 100 0.9 0.1 0.61 "0.27 ( 0 )" "4.72 ( 0.21 )" "0 ( 0 )" 9.72 0.35 0.27 4.72 0 "lasso" +50 500 0.9 10 0.13 "0.81 ( 0.04 )" "13.78 ( 0.36 )" "3.54 ( 0.08 )" 15.24 0.83 0.81 13.7 3.54 "lasso" +100 500 0.9 5 0.18 "0.54 ( 0.02 )" "13.78 ( 0.72 )" "2.58 ( 0.08 )" 16.2 0.76 0.54 13.7 2.58 "lasso" +500 500 0.9 1 0.25 "0.3 ( 0 )" "18.18 ( 0.69 )" "0.03 ( 0.02 )" 23.15 0.72 0.3 18.1 0.03 "lasso" +1000 500 0.9 0.5 0.33 "0.28 ( 0 )" "12.68 ( 0.57 )" "0 ( 0 )" 17.68 0.63 0.28 12.6 0 "lasso" +50 1000 0.9 20 0.08 "0.9 ( 0.05 )" "18.15 ( 0.34 )" "3.92 ( 0.08 )" 19.23 0.89 0.9 18.1 3.92 "lasso" +100 1000 0.9 10 0.16 "0.59 ( 0.02 )" "15.99 ( 0.66 )" "2.88 ( 0.06 )" 18.11 0.81 0.59 15.9 2.88 "lasso" +500 1000 0.9 2 0.2 "0.31 ( 0 )" "24.62 ( 1.01 )" "0.05 ( 0.02 )" 29.57 0.77 0.31 24.6 0.05 "lasso" +1000 1000 0.9 1 0.25 "0.28 ( 0 )" "18.51 ( 0.86 )" "0 ( 0 )" 23.51 0.71 0.28 18.5 0 "lasso" +50 50 0.1 1 0.21 "0.6 ( 0.03 )" "14.72 ( 0.57 )" "0.01 ( 0.01 )" 19.71 0.67 0.6 14.7 0.01 "elnet" +100 50 0.1 0.5 0.23 "0.34 ( 0.01 )" "13.7 ( 0.66 )" "0 ( 0 )" 18.7 0.64 0.34 13.7 0 "elnet" +500 50 0.1 0.1 0.23 "0.26 ( 0 )" "13.59 ( 0.55 )" "0 ( 0 )" 18.59 0.65 0.26 13.5 0 "elnet" +1000 50 0.1 0.05 0.25 "0.26 ( 0 )" "12.64 ( 0.54 )" "0 ( 0 )" 17.64 0.63 0.26 12.6 0 "elnet" +50 100 0.1 2 0.2 "0.69 ( 0.05 )" "19.33 ( 0.67 )" "0 ( 0 )" 24.33 0.73 0.69 19.3 0 "elnet" +100 100 0.1 1 0.22 "0.38 ( 0.01 )" "17.77 ( 0.8 )" "0 ( 0 )" 22.77 0.7 0.38 17.7 0 "elnet" +500 100 0.1 0.2 0.21 "0.26 ( 0 )" "18.57 ( 0.83 )" "0 ( 0 )" 23.57 0.71 0.26 18.5 0 "elnet" +1000 100 0.1 0.1 0.22 "0.26 ( 0 )" "17.23 ( 0.72 )" "0 ( 0 )" 22.23 0.7 0.26 17.2 0 "elnet" +50 500 0.1 10 0.13 "1.74 ( 0.11 )" "29.67 ( 1.23 )" "0.63 ( 0.07 )" 34.04 0.83 1.74 29.6 0.63 "elnet" +100 500 0.1 5 0.16 "0.51 ( 0.02 )" "30.41 ( 1.35 )" "0 ( 0 )" 35.41 0.81 0.51 30.4 0 "elnet" +500 500 0.1 1 0.16 "0.27 ( 0 )" "29.38 ( 1.53 )" "0 ( 0 )" 34.38 0.79 0.27 29.3 0 "elnet" +1000 500 0.1 0.5 0.18 "0.27 ( 0 )" "26.73 ( 1.56 )" "0 ( 0 )" 31.73 0.77 0.27 26.7 0 "elnet" +50 1000 0.1 20 0.09 "2.5 ( 0.16 )" "39.01 ( 2.7 )" "1.34 ( 0.1 )" 42.67 0.87 2.5 39 1.34 "elnet" +100 1000 0.1 10 0.13 "0.57 ( 0.03 )" "39.81 ( 1.68 )" "0 ( 0 )" 44.81 0.85 0.57 39.8 0 "elnet" +500 1000 0.1 2 0.14 "0.27 ( 0 )" "37.88 ( 2.19 )" "0 ( 0 )" 42.88 0.82 0.27 37.8 0 "elnet" +1000 1000 0.1 1 0.16 "0.26 ( 0 )" "31.4 ( 1.69 )" "0 ( 0 )" 36.4 0.8 0.26 31.4 0 "elnet" +50 50 0.3 1 0.21 "0.53 ( 0.03 )" "14.65 ( 0.58 )" "0.03 ( 0.02 )" 19.62 0.67 0.53 14.6 0.03 "elnet" +100 50 0.3 0.5 0.2 "0.34 ( 0.01 )" "14.91 ( 0.58 )" "0 ( 0 )" 19.91 0.67 0.34 14.9 0 "elnet" +500 50 0.3 0.1 0.23 "0.27 ( 0 )" "13.94 ( 0.57 )" "0 ( 0 )" 18.94 0.65 0.27 13.9 0 "elnet" +1000 50 0.3 0.05 0.27 "0.26 ( 0 )" "11.94 ( 0.43 )" "0 ( 0 )" 16.94 0.62 0.26 11.9 0 "elnet" +50 100 0.3 2 0.19 "0.72 ( 0.04 )" "19.67 ( 0.66 )" "0.08 ( 0.03 )" 24.59 0.74 0.72 19.6 0.08 "elnet" +100 100 0.3 1 0.19 "0.38 ( 0.01 )" "20.48 ( 0.85 )" "0 ( 0 )" 25.48 0.74 0.38 20.4 0 "elnet" +500 100 0.3 0.2 0.2 "0.26 ( 0 )" "19.3 ( 0.93 )" "0 ( 0 )" 24.3 0.72 0.26 19.3 0 "elnet" +1000 100 0.3 0.1 0.2 "0.26 ( 0 )" "19 ( 0.86 )" "0 ( 0 )" 24 0.71 0.26 19 0 "elnet" +50 500 0.3 10 0.1 "1.94 ( 0.12 )" "32.52 ( 1.94 )" "1.33 ( 0.1 )" 36.19 0.85 1.94 32.5 1.33 "elnet" +100 500 0.3 5 0.14 "0.51 ( 0.02 )" "34.04 ( 1.37 )" "0.01 ( 0.01 )" 39.03 0.83 0.51 34 0.01 "elnet" +500 500 0.3 1 0.16 "0.28 ( 0 )" "30.92 ( 1.44 )" "0 ( 0 )" 35.92 0.8 0.28 30.9 0 "elnet" +1000 500 0.3 0.5 0.16 "0.26 ( 0 )" "30.61 ( 1.55 )" "0 ( 0 )" 35.61 0.79 0.26 30.6 0 "elnet" +50 1000 0.3 20 0.08 "2.46 ( 0.17 )" "35.99 ( 1.99 )" "1.83 ( 0.1 )" 39.16 0.88 2.46 35.9 1.83 "elnet" +100 1000 0.3 10 0.12 "0.6 ( 0.03 )" "43.92 ( 1.49 )" "0.01 ( 0.01 )" 48.91 0.86 0.6 43.9 0.01 "elnet" +500 1000 0.3 2 0.13 "0.28 ( 0 )" "38.46 ( 2.16 )" "0 ( 0 )" 43.46 0.84 0.28 38.4 0 "elnet" +1000 1000 0.3 1 0.13 "0.27 ( 0 )" "38.29 ( 2.09 )" "0 ( 0 )" 43.29 0.83 0.27 38.2 0 "elnet" +50 50 0.5 1 0.2 "0.57 ( 0.04 )" "14.64 ( 0.66 )" "0.09 ( 0.03 )" 19.55 0.66 0.57 14.6 0.09 "elnet" +100 50 0.5 0.5 0.21 "0.33 ( 0.01 )" "14.76 ( 0.55 )" "0 ( 0 )" 19.76 0.67 0.33 14.7 0 "elnet" +500 50 0.5 0.1 0.23 "0.26 ( 0 )" "13.76 ( 0.51 )" "0 ( 0 )" 18.76 0.66 0.26 13.7 0 "elnet" +1000 50 0.5 0.05 0.23 "0.26 ( 0 )" "13.4 ( 0.49 )" "0 ( 0 )" 18.4 0.65 0.26 13.4 0 "elnet" +50 100 0.5 2 0.17 "0.8 ( 0.04 )" "20.05 ( 0.68 )" "0.34 ( 0.06 )" 24.71 0.75 0.8 20 0.34 "elnet" +100 100 0.5 1 0.17 "0.41 ( 0.02 )" "21.92 ( 0.83 )" "0 ( 0 )" 26.92 0.76 0.41 21.9 0 "elnet" +500 100 0.5 0.2 0.2 "0.27 ( 0 )" "18.97 ( 0.78 )" "0 ( 0 )" 23.97 0.72 0.27 18.9 0 "elnet" +1000 100 0.5 0.1 0.2 "0.26 ( 0 )" "19.53 ( 0.66 )" "0 ( 0 )" 24.53 0.74 0.26 19.5 0 "elnet" +50 500 0.5 10 0.09 "1.86 ( 0.11 )" "29.92 ( 1.25 )" "1.88 ( 0.1 )" 33.04 0.86 1.86 29.9 1.88 "elnet" +100 500 0.5 5 0.13 "0.59 ( 0.02 )" "37.33 ( 1.25 )" "0.07 ( 0.03 )" 42.26 0.85 0.59 37.3 0.07 "elnet" +500 500 0.5 1 0.13 "0.28 ( 0 )" "37.1 ( 1.54 )" "0 ( 0 )" 42.1 0.83 0.28 37.1 0 "elnet" +1000 500 0.5 0.5 0.13 "0.27 ( 0 )" "36.71 ( 1.5 )" "0 ( 0 )" 41.71 0.83 0.27 36.7 0 "elnet" +50 1000 0.5 20 0.07 "2.33 ( 0.14 )" "35.29 ( 1.69 )" "2.53 ( 0.1 )" 37.76 0.9 2.33 35.2 2.53 "elnet" +100 1000 0.5 10 0.11 "0.73 ( 0.03 )" "44.83 ( 1.58 )" "0.18 ( 0.05 )" 49.65 0.87 0.73 44.8 0.18 "elnet" +500 1000 0.5 2 0.12 "0.29 ( 0 )" "42.86 ( 2.28 )" "0 ( 0 )" 47.86 0.85 0.29 42.8 0 "elnet" +1000 1000 0.5 1 0.13 "0.27 ( 0 )" "41.01 ( 1.99 )" "0 ( 0 )" 46.01 0.84 0.27 41 0 "elnet" +50 50 0.7 1 0.18 "0.6 ( 0.04 )" "15.25 ( 0.54 )" "0.25 ( 0.05 )" 20 0.69 0.6 15.2 0.25 "elnet" +100 50 0.7 0.5 0.2 "0.35 ( 0.01 )" "15.66 ( 0.62 )" "0 ( 0 )" 20.66 0.69 0.35 15.6 0 "elnet" +500 50 0.7 0.1 0.24 "0.26 ( 0 )" "13.41 ( 0.46 )" "0 ( 0 )" 18.41 0.65 0.26 13.4 0 "elnet" +1000 50 0.7 0.05 0.26 "0.26 ( 0 )" "12.18 ( 0.6 )" "0 ( 0 )" 17.18 0.61 0.26 12.1 0 "elnet" +50 100 0.7 2 0.15 "0.81 ( 0.04 )" "19.25 ( 0.81 )" "0.79 ( 0.09 )" 23.46 0.75 0.81 19.2 0.79 "elnet" +100 100 0.7 1 0.18 "0.36 ( 0.01 )" "21.79 ( 0.78 )" "0.01 ( 0.01 )" 26.78 0.76 0.36 21.7 0.01 "elnet" +500 100 0.7 0.2 0.18 "0.27 ( 0 )" "21.43 ( 0.75 )" "0 ( 0 )" 26.43 0.75 0.27 21.4 0 "elnet" +1000 100 0.7 0.1 0.21 "0.26 ( 0 )" "18.91 ( 0.6 )" "0 ( 0 )" 23.91 0.73 0.26 18.9 0 "elnet" +50 500 0.7 10 0.09 "1.48 ( 0.09 )" "27.19 ( 0.95 )" "2.71 ( 0.08 )" 29.48 0.88 1.48 27.1 2.71 "elnet" +100 500 0.7 5 0.11 "0.6 ( 0.02 )" "37.9 ( 1.54 )" "0.51 ( 0.07 )" 42.39 0.86 0.6 37.9 0.51 "elnet" +500 500 0.7 1 0.13 "0.29 ( 0 )" "38.11 ( 1.41 )" "0 ( 0 )" 43.11 0.84 0.29 38.1 0 "elnet" +1000 500 0.7 0.5 0.13 "0.27 ( 0 )" "38.16 ( 1.26 )" "0 ( 0 )" 43.16 0.85 0.27 38.1 0 "elnet" +50 1000 0.7 20 0.06 "1.66 ( 0.09 )" "35.91 ( 1.86 )" "3.03 ( 0.09 )" 37.88 0.91 1.66 35.9 3.03 "elnet" +100 1000 0.7 10 0.09 "0.78 ( 0.04 )" "39.69 ( 1.62 )" "1.11 ( 0.1 )" 43.58 0.88 0.78 39.6 1.11 "elnet" +500 1000 0.7 2 0.11 "0.3 ( 0 )" "49.45 ( 1.98 )" "0 ( 0 )" 54.45 0.87 0.3 49.4 0 "elnet" +1000 1000 0.7 1 0.11 "0.27 ( 0 )" "48.15 ( 1.76 )" "0 ( 0 )" 53.15 0.87 0.27 48.1 0 "elnet" +50 50 0.9 1 0.16 "0.5 ( 0.02 )" "13.26 ( 0.77 )" "1.03 ( 0.11 )" 17.23 0.66 0.5 13.2 1.03 "elnet" +100 50 0.9 0.5 0.21 "0.35 ( 0.01 )" "14 ( 0.69 )" "0.27 ( 0.06 )" 18.73 0.66 0.35 14 0.27 "elnet" +500 50 0.9 0.1 0.29 "0.27 ( 0 )" "11.63 ( 0.41 )" "0 ( 0 )" 16.63 0.62 0.27 11.6 0 "elnet" +1000 50 0.9 0.05 0.29 "0.26 ( 0 )" "12.06 ( 0.52 )" "0 ( 0 )" 17.06 0.62 0.26 12 0 "elnet" +50 100 0.9 2 0.15 "0.56 ( 0.03 )" "15.35 ( 0.8 )" "1.83 ( 0.12 )" 18.52 0.75 0.56 15.3 1.83 "elnet" +100 100 0.9 1 0.18 "0.4 ( 0.02 )" "18.69 ( 0.92 )" "0.41 ( 0.07 )" 23.28 0.73 0.4 18.6 0.41 "elnet" +500 100 0.9 0.2 0.23 "0.27 ( 0 )" "17.36 ( 0.62 )" "0 ( 0 )" 22.36 0.71 0.27 17.3 0 "elnet" +1000 100 0.9 0.1 0.26 "0.26 ( 0 )" "16.05 ( 0.62 )" "0 ( 0 )" 21.05 0.69 0.26 16 0 "elnet" +50 500 0.9 10 0.08 "0.88 ( 0.04 )" "25.11 ( 1.93 )" "3.23 ( 0.08 )" 26.88 0.87 0.88 25.1 3.23 "elnet" +100 500 0.9 5 0.1 "0.53 ( 0.02 )" "27.99 ( 1.26 )" "2.15 ( 0.1 )" 30.84 0.86 0.53 27.9 2.15 "elnet" +500 500 0.9 1 0.12 "0.29 ( 0 )" "41.14 ( 1.02 )" "0 ( 0 )" 46.14 0.86 0.29 41.1 0 "elnet" +1000 500 0.9 0.5 0.13 "0.27 ( 0 )" "39.21 ( 0.84 )" "0 ( 0 )" 44.21 0.86 0.27 39.2 0 "elnet" +50 1000 0.9 20 0.04 "0.94 ( 0.05 )" "36.59 ( 3.6 )" "3.72 ( 0.08 )" 37.87 0.92 0.94 36.5 3.72 "elnet" +100 1000 0.9 10 0.09 "0.59 ( 0.02 )" "32.05 ( 1.85 )" "2.59 ( 0.06 )" 34.46 0.88 0.59 32 2.59 "elnet" +500 1000 0.9 2 0.09 "0.3 ( 0 )" "57.69 ( 1.57 )" "0 ( 0 )" 62.69 0.9 0.3 57.6 0 "elnet" +1000 1000 0.9 1 0.1 "0.27 ( 0 )" "52.35 ( 1.6 )" "0 ( 0 )" 57.35 0.89 0.27 52.3 0 "elnet" +50 50 0.1 1 0 "1.4 ( 0.06 )" "1 ( 0 )" "6 ( 0 )" 0 NA 1.4 0 6 "rf" +100 50 0.1 0.5 0.19 "0.86 ( 0.03 )" "1.87 ( 0.14 )" "4.25 ( 0.09 )" 3.62 0.48 0.86 1.87 4.25 "rf" +500 50 0.1 0.1 0.77 "0.44 ( 0.01 )" "0.32 ( 0.05 )" "1.81 ( 0.07 )" 4.51 0.06 0.44 0.32 1.81 "rf" +1000 50 0.1 0.05 0.86 "0.34 ( 0 )" "0.15 ( 0.04 )" "0.93 ( 0.07 )" 5.22 0.02 0.34 0.15 0.93 "rf" +50 100 0.1 2 0 "1.36 ( 0.06 )" "1 ( 0 )" "6 ( 0 )" 0 NA 1.36 0 6 "rf" +100 100 0.1 1 0.12 "0.93 ( 0.03 )" "4.11 ( 0.18 )" "4.17 ( 0.1 )" 5.93 0.68 0.93 4.11 4.17 "rf" +500 100 0.1 0.2 0.57 "0.56 ( 0.01 )" "2.08 ( 0.14 )" "1.52 ( 0.08 )" 6.56 0.29 0.56 2.08 1.52 "rf" +1000 100 0.1 0.1 0.74 "0.45 ( 0 )" "1.11 ( 0.1 )" "0.74 ( 0.07 )" 6.37 0.16 0.45 1.11 0.74 "rf" +50 500 0.1 10 0 "1.29 ( 0.05 )" "1 ( 0 )" "6 ( 0 )" 0 NA 1.29 0 6 "rf" +100 500 0.1 5 0.02 "0.95 ( 0.02 )" "24.82 ( 0.56 )" "4.55 ( 0.09 )" 26.27 0.94 0.95 24.8 4.55 "rf" +500 500 0.1 1 0.13 "0.84 ( 0.01 )" "20.8 ( 0.48 )" "1.79 ( 0.1 )" 25.01 0.83 0.84 20.8 1.79 "rf" +1000 500 0.1 0.5 0.18 "0.76 ( 0.01 )" "18.72 ( 0.37 )" "0.91 ( 0.07 )" 23.81 0.78 0.76 18.7 0.91 "rf" +50 1000 0.1 20 0 "1.35 ( 0.06 )" "1 ( 0 )" "6 ( 0 )" 0 NA 1.35 0 6 "rf" +100 1000 0.1 10 0.01 "1 ( 0.03 )" "49.42 ( 0.7 )" "4.71 ( 0.09 )" 50.71 0.97 1 49.4 4.71 "rf" +500 1000 0.1 2 0.06 "0.87 ( 0.01 )" "46.19 ( 0.64 )" "1.97 ( 0.09 )" 50.22 0.92 0.87 46.1 1.97 "rf" +1000 1000 0.1 1 0.09 "0.85 ( 0.01 )" "40.92 ( 0.66 )" "0.98 ( 0.07 )" 45.94 0.89 0.85 40.9 0.98 "rf" +50 50 0.3 1 0 "1.22 ( 0.05 )" "1 ( 0 )" "6 ( 0 )" 0 NA 1.22 0 6 "rf" +100 50 0.3 0.5 0.23 "0.77 ( 0.02 )" "1.72 ( 0.11 )" "4.4 ( 0.08 )" 3.32 0.48 0.77 1.72 4.4 "rf" +500 50 0.3 0.1 0.7 "0.39 ( 0 )" "0.54 ( 0.06 )" "1.98 ( 0.08 )" 4.56 0.11 0.39 0.54 1.98 "rf" +1000 50 0.3 0.05 0.82 "0.31 ( 0 )" "0.3 ( 0.05 )" "1.19 ( 0.08 )" 5.11 0.05 0.31 0.3 1.19 "rf" +50 100 0.3 2 0 "1.15 ( 0.05 )" "1 ( 0 )" "6 ( 0 )" 0 NA 1.15 0 6 "rf" +100 100 0.3 1 0.15 "0.81 ( 0.02 )" "3.77 ( 0.16 )" "4.28 ( 0.07 )" 5.49 0.67 0.81 3.77 4.28 "rf" +500 100 0.3 0.2 0.52 "0.51 ( 0.01 )" "2.21 ( 0.14 )" "1.94 ( 0.09 )" 6.27 0.33 0.51 2.21 1.94 "rf" +1000 100 0.3 0.1 0.75 "0.41 ( 0 )" "1.4 ( 0.1 )" "0.76 ( 0.07 )" 6.64 0.2 0.41 1.4 0.76 "rf" +50 500 0.3 10 0 "1.14 ( 0.05 )" "1 ( 0 )" "6 ( 0 )" 0 NA 1.14 0 6 "rf" +100 500 0.3 5 0.02 "0.89 ( 0.03 )" "24.48 ( 0.46 )" "4.69 ( 0.08 )" 25.79 0.95 0.89 24.4 4.69 "rf" +500 500 0.3 1 0.12 "0.73 ( 0.01 )" "20.86 ( 0.41 )" "2.1 ( 0.09 )" 24.76 0.84 0.73 20.8 2.1 "rf" +1000 500 0.3 0.5 0.19 "0.68 ( 0.01 )" "18.71 ( 0.45 )" "1.13 ( 0.08 )" 23.58 0.79 0.68 18.7 1.13 "rf" +50 1000 0.3 20 0 "1.2 ( 0.05 )" "1 ( 0 )" "6 ( 0 )" 0 NA 1.2 0 6 "rf" +100 1000 0.3 10 0.01 "0.92 ( 0.03 )" "48.8 ( 0.82 )" "4.79 ( 0.08 )" 50.01 0.98 0.92 48.8 4.79 "rf" +500 1000 0.3 2 0.05 "0.78 ( 0.01 )" "44.58 ( 0.68 )" "2.48 ( 0.09 )" 48.1 0.93 0.78 44.5 2.48 "rf" +1000 1000 0.3 1 0.08 "0.74 ( 0.01 )" "42.87 ( 0.73 )" "1.44 ( 0.09 )" 47.43 0.9 0.74 42.8 1.44 "rf" +50 50 0.5 1 0 "0.99 ( 0.05 )" "1 ( 0 )" "6 ( 0 )" 0 NA 0.99 0 6 "rf" +100 50 0.5 0.5 0.24 "0.62 ( 0.02 )" "1.74 ( 0.13 )" "4.39 ( 0.08 )" 3.34 0.47 0.62 1.74 4.39 "rf" +500 50 0.5 0.1 0.7 "0.32 ( 0 )" "0.98 ( 0.09 )" "2.53 ( 0.08 )" 4.45 0.2 0.32 0.98 2.53 "rf" +1000 50 0.5 0.05 0.78 "0.26 ( 0 )" "0.91 ( 0.07 )" "1.71 ( 0.07 )" 5.2 0.16 0.26 0.91 1.71 "rf" +50 100 0.5 2 0 "0.91 ( 0.04 )" "1 ( 0 )" "6 ( 0 )" 0 NA 0.91 0 6 "rf" +100 100 0.5 1 0.15 "0.68 ( 0.02 )" "3.72 ( 0.19 )" "4.42 ( 0.08 )" 5.3 0.66 0.68 3.72 4.42 "rf" +500 100 0.5 0.2 0.56 "0.4 ( 0 )" "2.59 ( 0.13 )" "2.1 ( 0.08 )" 6.49 0.38 0.4 2.59 2.1 "rf" +1000 100 0.5 0.1 0.76 "0.34 ( 0 )" "2.09 ( 0.1 )" "1.08 ( 0.07 )" 7.01 0.29 0.34 2.09 1.08 "rf" +50 500 0.5 10 0 "0.95 ( 0.04 )" "1 ( 0 )" "6 ( 0 )" 0 NA 0.95 0 6 "rf" +100 500 0.5 5 0.03 "0.75 ( 0.02 )" "24.36 ( 0.56 )" "4.57 ( 0.07 )" 25.79 0.94 0.75 24.3 4.57 "rf" +500 500 0.5 1 0.13 "0.58 ( 0.01 )" "20.66 ( 0.49 )" "2.51 ( 0.07 )" 24.15 0.85 0.58 20.6 2.51 "rf" +1000 500 0.5 0.5 0.2 "0.55 ( 0 )" "18.4 ( 0.44 )" "1.77 ( 0.07 )" 22.63 0.81 0.55 18.4 1.77 "rf" +50 1000 0.5 20 0 "0.94 ( 0.04 )" "1 ( 0 )" "6 ( 0 )" 0 NA 0.94 0 6 "rf" +100 1000 0.5 10 0.01 "0.72 ( 0.02 )" "48.5 ( 0.74 )" "4.75 ( 0.08 )" 49.75 0.97 0.72 48.5 4.75 "rf" +500 1000 0.5 2 0.05 "0.65 ( 0.01 )" "46.07 ( 0.71 )" "2.83 ( 0.09 )" 49.24 0.93 0.65 46 2.83 "rf" +1000 1000 0.5 1 0.09 "0.61 ( 0.01 )" "41.21 ( 0.68 )" "1.84 ( 0.08 )" 45.37 0.91 0.61 41.2 1.84 "rf" +50 50 0.7 1 0 "0.66 ( 0.03 )" "1 ( 0 )" "6 ( 0 )" 0 NA 0.66 0 6 "rf" +100 50 0.7 0.5 0.28 "0.44 ( 0.01 )" "1.84 ( 0.14 )" "4.44 ( 0.08 )" 3.4 0.48 0.44 1.84 4.44 "rf" +500 50 0.7 0.1 0.74 "0.23 ( 0 )" "1.29 ( 0.07 )" "2.76 ( 0.07 )" 4.53 0.27 0.23 1.29 2.76 "rf" +1000 50 0.7 0.05 0.85 "0.19 ( 0 )" "1.57 ( 0.07 )" "2.29 ( 0.06 )" 5.28 0.29 0.19 1.57 2.29 "rf" +50 100 0.7 2 0 "0.67 ( 0.03 )" "1 ( 0 )" "6 ( 0 )" 0 NA 0.67 0 6 "rf" +100 100 0.7 1 0.14 "0.47 ( 0.01 )" "4.64 ( 0.25 )" "4.32 ( 0.09 )" 6.32 0.7 0.47 4.64 4.32 "rf" +500 100 0.7 0.2 0.63 "0.28 ( 0 )" "2.64 ( 0.14 )" "2.52 ( 0.07 )" 6.12 0.41 0.28 2.64 2.52 "rf" +1000 100 0.7 0.1 0.8 "0.25 ( 0 )" "2.42 ( 0.1 )" "1.76 ( 0.05 )" 6.66 0.35 0.25 2.42 1.76 "rf" +50 500 0.7 10 0 "0.7 ( 0.03 )" "1 ( 0 )" "6 ( 0 )" 0 NA 0.7 0 6 "rf" +100 500 0.7 5 0.03 "0.49 ( 0.02 )" "24.87 ( 0.57 )" "4.59 ( 0.09 )" 26.28 0.94 0.49 24.8 4.59 "rf" +500 500 0.7 1 0.13 "0.4 ( 0 )" "21.21 ( 0.55 )" "2.97 ( 0.08 )" 24.24 0.87 0.4 21.2 2.97 "rf" +1000 500 0.7 0.5 0.21 "0.38 ( 0 )" "17.4 ( 0.46 )" "1.98 ( 0.07 )" 21.42 0.8 0.38 17.4 1.98 "rf" +50 1000 0.7 20 0 "0.74 ( 0.03 )" "1 ( 0 )" "6 ( 0 )" 0 NA 0.74 0 6 "rf" +100 1000 0.7 10 0.01 "0.5 ( 0.01 )" "49.02 ( 0.67 )" "4.84 ( 0.08 )" 50.18 0.98 0.5 49 4.84 "rf" +500 1000 0.7 2 0.07 "0.44 ( 0 )" "45.41 ( 0.68 )" "3.02 ( 0.07 )" 48.39 0.94 0.44 45.4 3.02 "rf" +1000 1000 0.7 1 0.09 "0.42 ( 0 )" "42.15 ( 0.71 )" "2.37 ( 0.07 )" 45.78 0.92 0.42 42.1 2.37 "rf" +50 50 0.9 1 0 "0.27 ( 0.01 )" "1 ( 0 )" "6 ( 0 )" 0 NA 0.27 0 6 "rf" +100 50 0.9 0.5 0.19 "0.19 ( 0.01 )" "2.14 ( 0.17 )" "4.84 ( 0.08 )" 3.28 0.58 0.19 2.14 4.84 "rf" +500 50 0.9 0.1 0.67 "0.12 ( 0 )" "1.43 ( 0.09 )" "3.13 ( 0.08 )" 4.3 0.32 0.12 1.43 3.13 "rf" +1000 50 0.9 0.05 0.85 "0.1 ( 0 )" "1.5 ( 0.07 )" "2.46 ( 0.06 )" 5.04 0.29 0.1 1.5 2.46 "rf" +50 100 0.9 2 0 "0.3 ( 0.01 )" "1 ( 0 )" "6 ( 0 )" 0 NA 0.3 0 6 "rf" +100 100 0.9 1 0.16 "0.19 ( 0.01 )" "4.23 ( 0.22 )" "4.48 ( 0.09 )" 5.74 0.72 0.19 4.23 4.48 "rf" +500 100 0.9 0.2 0.57 "0.14 ( 0 )" "2.86 ( 0.16 )" "2.89 ( 0.07 )" 5.97 0.45 0.14 2.86 2.89 "rf" +1000 100 0.9 0.1 0.8 "0.12 ( 0 )" "2.42 ( 0.11 )" "1.89 ( 0.05 )" 6.53 0.36 0.12 2.42 1.89 "rf" +50 500 0.9 10 0 "0.29 ( 0.01 )" "1 ( 0 )" "6 ( 0 )" 0 NA 0.29 0 6 "rf" +100 500 0.9 5 0.02 "0.21 ( 0.01 )" "24.34 ( 0.71 )" "4.72 ( 0.09 )" 25.62 0.95 0.21 24.3 4.72 "rf" +500 500 0.9 1 0.14 "0.17 ( 0 )" "21.38 ( 0.6 )" "3 ( 0.07 )" 24.38 0.87 0.17 21.3 0 "rf" +1000 500 0.9 0.5 0.2 "0.16 ( 0 )" "18.68 ( 0.53 )" "2.35 ( 0.06 )" 22.33 0.83 0.16 18.6 2.35 "rf" +50 1000 0.9 20 0 "0.29 ( 0.01 )" "1 ( 0 )" "6 ( 0 )" 0 NA 0.29 0 6 "rf" +100 1000 0.9 10 0.01 "0.2 ( 0.01 )" "49.91 ( 0.83 )" "4.99 ( 0.09 )" 50.92 0.98 0.2 49.9 4.99 "rf" +500 1000 0.9 2 0.06 "0.19 ( 0 )" "46.34 ( 0.86 )" "3.13 ( 0.08 )" 49.21 0.94 0.19 46.3 3.13 "rf" +1000 1000 0.9 1 0.09 "0.18 ( 0 )" "43.52 ( 0.89 )" "2.7 ( 0.07 )" 46.82 0.93 0.18 43.5 2.7 "rf" +50 50 0.1 1 0.56 "0.88 ( 0.05 )" "3.68 ( 0.29 )" "0.06 ( 0.03 )" 9.62 0.33 0.88 3.68 0.06 "compLasso" +100 50 0.1 0.5 0.77 "0.87 ( 0.05 )" "1.51 ( 0.35 )" "0 ( 0 )" 7.51 0.12 0.87 1.51 0 "compLasso" +500 50 0.1 0.1 0.88 "0.99 ( 0.05 )" "0.73 ( 0.19 )" "0 ( 0 )" 6.73 0.07 0.99 0.73 0 "compLasso" +1000 50 0.1 0.05 0.9 "1.09 ( 0.04 )" "0.55 ( 0.17 )" "0 ( 0 )" 6.55 0.05 1.09 0.55 0 "compLasso" +50 100 0.1 2 0.53 "1.12 ( 0.1 )" "4.24 ( 0.3 )" "0.23 ( 0.06 )" 10.01 0.37 1.12 4.24 0.23 "compLasso" +100 100 0.1 1 0.79 "0.85 ( 0.04 )" "1.51 ( 0.34 )" "0 ( 0 )" 7.51 0.13 0.85 1.51 0 "compLasso" +500 100 0.1 0.2 0.95 "1.13 ( 0.04 )" "0.29 ( 0.09 )" "0 ( 0 )" 6.29 0.03 1.13 0.29 0 "compLasso" +1000 100 0.1 0.1 0.93 "1.03 ( 0.04 )" "0.42 ( 0.12 )" "0 ( 0 )" 6.42 0.05 1.03 0.42 0 "compLasso" +50 500 0.1 10 0.36 "2.54 ( 0.18 )" "5.13 ( 0.35 )" "1.78 ( 0.12 )" 9.35 0.48 2.54 5.13 1.78 "compLasso" +100 500 0.1 5 0.71 "0.98 ( 0.04 )" "2.4 ( 0.35 )" "0 ( 0 )" 8.4 0.21 0.98 2.4 0 "compLasso" +500 500 0.1 1 0.96 "1.1 ( 0.04 )" "0.25 ( 0.08 )" "0 ( 0 )" 6.25 0.03 1.1 0.25 0 "compLasso" +1000 500 0.1 0.5 0.96 "1.18 ( 0.04 )" "0.24 ( 0.08 )" "0 ( 0 )" 6.24 0.03 1.18 0.24 0 "compLasso" +50 1000 0.1 20 0.29 "3.37 ( 0.2 )" "4.59 ( 0.36 )" "2.63 ( 0.15 )" 7.96 0.5 3.37 4.59 2.63 "compLasso" +100 1000 0.1 10 0.61 "1.03 ( 0.04 )" "3.82 ( 0.46 )" "0.01 ( 0.01 )" 9.81 0.29 1.03 3.82 0.01 "compLasso" +500 1000 0.1 2 0.96 "1.1 ( 0.03 )" "0.24 ( 0.1 )" "0 ( 0 )" 6.24 0.03 1.1 0.24 0 "compLasso" +1000 1000 0.1 1 0.97 "1.16 ( 0.03 )" "0.16 ( 0.06 )" "0 ( 0 )" 6.16 0.02 1.16 0.16 0 "compLasso" +50 50 0.3 1 0.5 "0.76 ( 0.05 )" "4.6 ( 0.27 )" "0.07 ( 0.03 )" 10.53 0.4 0.76 4.6 0.07 "compLasso" +100 50 0.3 0.5 0.75 "0.7 ( 0.04 )" "1.65 ( 0.28 )" "0 ( 0 )" 7.65 0.16 0.7 1.65 0 "compLasso" +500 50 0.3 0.1 0.93 "0.92 ( 0.04 )" "0.39 ( 0.12 )" "0 ( 0 )" 6.39 0.04 0.92 0.39 0 "compLasso" +1000 50 0.3 0.05 0.93 "0.92 ( 0.03 )" "0.38 ( 0.1 )" "0 ( 0 )" 6.38 0.04 0.92 0.38 0 "compLasso" +50 100 0.3 2 0.43 "1.12 ( 0.07 )" "5.19 ( 0.3 )" "0.63 ( 0.09 )" 10.56 0.44 1.12 5.19 0.63 "compLasso" +100 100 0.3 1 0.7 "0.73 ( 0.04 )" "2.38 ( 0.32 )" "0 ( 0 )" 8.38 0.22 0.73 2.38 0 "compLasso" +500 100 0.3 0.2 0.87 "0.82 ( 0.04 )" "0.84 ( 0.2 )" "0 ( 0 )" 6.84 0.08 0.82 0.84 0 "compLasso" +1000 100 0.3 0.1 0.93 "0.87 ( 0.04 )" "0.41 ( 0.08 )" "0 ( 0 )" 6.41 0.05 0.87 0.41 0 "compLasso" +50 500 0.3 10 0.29 "2.5 ( 0.14 )" "5.62 ( 0.34 )" "2.39 ( 0.12 )" 9.23 0.55 2.5 5.62 2.39 "compLasso" +100 500 0.3 5 0.52 "0.84 ( 0.04 )" "5.23 ( 0.57 )" "0.06 ( 0.02 )" 11.17 0.37 0.84 5.23 0.06 "compLasso" +500 500 0.3 1 0.96 "0.93 ( 0.03 )" "0.25 ( 0.08 )" "0 ( 0 )" 6.25 0.03 0.93 0.25 0 "compLasso" +1000 500 0.3 0.5 0.94 "0.9 ( 0.03 )" "0.38 ( 0.1 )" "0 ( 0 )" 6.38 0.04 0.9 0.38 0 "compLasso" +50 1000 0.3 20 0.28 "2.99 ( 0.17 )" "4.75 ( 0.36 )" "3 ( 0.13 )" 7.75 0.53 2.99 4.75 0 "compLasso" +100 1000 0.3 10 0.46 "0.93 ( 0.04 )" "6.63 ( 0.6 )" "0.1 ( 0.03 )" 12.53 0.43 0.93 6.63 0.1 "compLasso" +500 1000 0.3 2 0.96 "0.89 ( 0.03 )" "0.28 ( 0.09 )" "0 ( 0 )" 6.28 0.03 0.89 0.28 0 "compLasso" +1000 1000 0.3 1 0.95 "0.93 ( 0.03 )" "0.29 ( 0.09 )" "0 ( 0 )" 6.29 0.03 0.93 0.29 0 "compLasso" +50 50 0.5 1 0.44 "0.72 ( 0.05 )" "5.25 ( 0.31 )" "0.24 ( 0.06 )" 11.01 0.43 0.72 5.25 0.24 "compLasso" +100 50 0.5 0.5 0.62 "0.55 ( 0.02 )" "2.98 ( 0.3 )" "0 ( 0 )" 8.98 0.27 0.55 2.98 0 "compLasso" +500 50 0.5 0.1 0.9 "0.62 ( 0.02 )" "0.57 ( 0.13 )" "0 ( 0 )" 6.57 0.06 0.62 0.57 0 "compLasso" +1000 50 0.5 0.05 0.93 "0.67 ( 0.02 )" "0.39 ( 0.12 )" "0 ( 0 )" 6.39 0.04 0.67 0.39 0 "compLasso" +50 100 0.5 2 0.37 "1.15 ( 0.07 )" "5.35 ( 0.36 )" "1.25 ( 0.11 )" 10.1 0.45 1.15 5.35 1.25 "compLasso" +100 100 0.5 1 0.59 "0.68 ( 0.03 )" "3.57 ( 0.36 )" "0.06 ( 0.02 )" 9.51 0.31 0.68 3.57 0.06 "compLasso" +500 100 0.5 0.2 0.94 "0.68 ( 0.02 )" "0.34 ( 0.1 )" "0 ( 0 )" 6.34 0.04 0.68 0.34 0 "compLasso" +1000 100 0.5 0.1 0.95 "0.71 ( 0.02 )" "0.27 ( 0.09 )" "0 ( 0 )" 6.27 0.03 0.71 0.27 0 "compLasso" +50 500 0.5 10 0.29 "2.28 ( 0.14 )" "5.5 ( 0.38 )" "2.81 ( 0.1 )" 8.69 0.55 2.28 5.5 2.81 "compLasso" +100 500 0.5 5 0.38 "0.82 ( 0.04 )" "8.32 ( 0.64 )" "0.38 ( 0.07 )" 13.94 0.51 0.82 8.32 0.38 "compLasso" +500 500 0.5 1 0.93 "0.67 ( 0.02 )" "0.45 ( 0.12 )" "0 ( 0 )" 6.45 0.05 0.67 0.45 0 "compLasso" +1000 500 0.5 0.5 0.94 "0.69 ( 0.02 )" "0.35 ( 0.1 )" "0 ( 0 )" 6.35 0.04 0.69 0.35 0 "compLasso" +50 1000 0.5 20 0.23 "2.44 ( 0.13 )" "5.82 ( 0.36 )" "3.37 ( 0.1 )" 8.45 0.63 2.44 5.82 3.37 "compLasso" +100 1000 0.5 10 0.3 "0.96 ( 0.05 )" "10.94 ( 0.72 )" "0.61 ( 0.1 )" 16.33 0.59 0.96 10.9 0.61 "compLasso" +500 1000 0.5 2 0.96 "0.7 ( 0.02 )" "0.22 ( 0.06 )" "0 ( 0 )" 6.22 0.03 0.7 0.22 0 "compLasso" +1000 1000 0.5 1 0.95 "0.71 ( 0.02 )" "0.33 ( 0.13 )" "0 ( 0 )" 6.33 0.03 0.71 0.33 0 "compLasso" +50 50 0.7 1 0.36 "0.76 ( 0.05 )" "5.83 ( 0.31 )" "0.81 ( 0.1 )" 11.02 0.48 0.76 5.83 0.81 "compLasso" +100 50 0.7 0.5 0.48 "0.43 ( 0.02 )" "4.89 ( 0.38 )" "0.08 ( 0.03 )" 10.81 0.4 0.43 4.89 0.08 "compLasso" +500 50 0.7 0.1 0.81 "0.44 ( 0.01 )" "1.23 ( 0.22 )" "0 ( 0 )" 7.23 0.12 0.44 1.23 0 "compLasso" +1000 50 0.7 0.05 0.88 "0.45 ( 0.01 )" "0.74 ( 0.13 )" "0 ( 0 )" 6.74 0.09 0.45 0.74 0 "compLasso" +50 100 0.7 2 0.31 "0.99 ( 0.06 )" "5.89 ( 0.36 )" "1.88 ( 0.11 )" 10.01 0.53 0.99 5.89 1.88 "compLasso" +100 100 0.7 1 0.41 "0.48 ( 0.02 )" "6.91 ( 0.55 )" "0.22 ( 0.05 )" 12.69 0.47 0.48 6.91 0.22 "compLasso" +500 100 0.7 0.2 0.82 "0.45 ( 0.01 )" "1.24 ( 0.19 )" "0 ( 0 )" 7.24 0.13 0.45 1.24 0 "compLasso" +1000 100 0.7 0.1 0.92 "0.48 ( 0.01 )" "0.5 ( 0.14 )" "0 ( 0 )" 6.5 0.05 0.48 0.5 0 "compLasso" +50 500 0.7 10 0.27 "1.81 ( 0.09 )" "5.27 ( 0.39 )" "3.43 ( 0.09 )" 7.84 0.56 1.81 5.27 3.43 "compLasso" +100 500 0.7 5 0.27 "0.85 ( 0.05 )" "9.56 ( 0.73 )" "1.42 ( 0.12 )" 14.14 0.59 0.85 9.56 1.42 "compLasso" +500 500 0.7 1 0.74 "0.46 ( 0.01 )" "2.11 ( 0.26 )" "0 ( 0 )" 8.11 0.2 0.46 2.11 0 "compLasso" +1000 500 0.7 0.5 0.87 "0.46 ( 0.01 )" "0.93 ( 0.16 )" "0 ( 0 )" 6.93 0.1 0.46 0.93 0 "compLasso" +50 1000 0.7 20 0.21 "1.81 ( 0.08 )" "6.05 ( 0.39 )" "3.58 ( 0.1 )" 8.47 0.64 1.81 6.05 3.58 "compLasso" +100 1000 0.7 10 0.27 "1.1 ( 0.06 )" "8.36 ( 0.68 )" "2.1 ( 0.09 )" 12.26 0.58 1.1 8.36 2.1 "compLasso" +500 1000 0.7 2 0.69 "0.47 ( 0.01 )" "2.72 ( 0.33 )" "0 ( 0 )" 8.72 0.24 0.47 2.72 0 "compLasso" +1000 1000 0.7 1 0.91 "0.5 ( 0.01 )" "0.57 ( 0.16 )" "0 ( 0 )" 6.57 0.06 0.5 0.57 0 "compLasso" +50 50 0.9 1 0.32 "0.54 ( 0.03 )" "4.91 ( 0.32 )" "1.96 ( 0.11 )" 8.95 0.49 0.54 4.91 1.96 "compLasso" +100 50 0.9 0.5 0.35 "0.41 ( 0.02 )" "5.64 ( 0.41 )" "0.96 ( 0.11 )" 10.68 0.46 0.41 5.64 0.96 "compLasso" +500 50 0.9 0.1 0.67 "0.31 ( 0.01 )" "2.66 ( 0.22 )" "0.01 ( 0.01 )" 8.65 0.27 0.31 2.66 0.01 "compLasso" +1000 50 0.9 0.05 0.71 "0.3 ( 0 )" "2.18 ( 0.19 )" "0 ( 0 )" 8.18 0.23 0.3 2.18 0 "compLasso" +50 100 0.9 2 0.31 "0.66 ( 0.04 )" "4.9 ( 0.33 )" "2.83 ( 0.09 )" 8.07 0.54 0.66 4.9 2.83 "compLasso" +100 100 0.9 1 0.32 "0.47 ( 0.02 )" "6.56 ( 0.48 )" "1.45 ( 0.11 )" 11.11 0.52 0.47 6.56 1.45 "compLasso" +500 100 0.9 0.2 0.59 "0.32 ( 0.01 )" "4.04 ( 0.34 )" "0.01 ( 0.01 )" 10.03 0.35 0.32 4.04 0.01 "compLasso" +1000 100 0.9 0.1 0.67 "0.3 ( 0 )" "2.85 ( 0.24 )" "0 ( 0 )" 8.85 0.28 0.3 2.85 0 "compLasso" +50 500 0.9 10 0.23 "0.89 ( 0.05 )" "5.88 ( 0.44 )" "3.74 ( 0.07 )" 8.14 0.62 0.89 5.88 3.74 "compLasso" +100 500 0.9 5 0.24 "0.6 ( 0.02 )" "8.59 ( 0.65 )" "2.63 ( 0.08 )" 11.96 0.64 0.6 8.59 2.63 "compLasso" +500 500 0.9 1 0.41 "0.34 ( 0.01 )" "8.17 ( 0.48 )" "0.17 ( 0.04 )" 14 0.54 0.34 8.17 0.17 "compLasso" +1000 500 0.9 0.5 0.58 "0.32 ( 0 )" "4.24 ( 0.3 )" "0.01 ( 0.01 )" 10.23 0.37 0.32 4.24 0.01 "compLasso" +50 1000 0.9 20 0.19 "1.04 ( 0.06 )" "5.24 ( 0.46 )" "4.23 ( 0.08 )" 7.01 0.6 1.04 5.24 4.23 "compLasso" +100 1000 0.9 10 0.22 "0.67 ( 0.02 )" "9.03 ( 0.73 )" "3.02 ( 0.07 )" 12.01 0.66 0.67 9.03 3.02 "compLasso" +500 1000 0.9 2 0.34 "0.35 ( 0.01 )" "10.52 ( 0.68 )" "0.32 ( 0.05 )" 16.2 0.59 0.35 10.5 0.32 "compLasso" +1000 1000 0.9 1 0.57 "0.33 ( 0 )" "4.48 ( 0.3 )" "0.01 ( 0.01 )" 10.47 0.39 0.33 4.48 0.01 "compLasso" diff --git a/simulations/sim_data_generation/run_sim_block.sh b/simulations/sim_data_generation/run_sim_block.sh new file mode 100755 index 0000000..91f6480 --- /dev/null +++ b/simulations/sim_data_generation/run_sim_block.sh @@ -0,0 +1,27 @@ +#!/bin/bash + +#PBS -N sim_block +#PBS -l walltime=500:00:00 +#PBS -l nodes=1:ppn=4 +#PBS -l mem=50gb +#PBS -V +#PBS -j oe +#PBS -d . + +set -e +cpus=$PBS_NUM_PPN + +export TMPDIR=/panfs/panfs1.ucsd.edu/panscratch/$USER/Stability_2020 +[ ! -d $TMPDIR ] && mkdir $TMPDIR +export TMPDIR=$TMPDIR/sim_data +[ ! -d $TMPDIR ] && mkdir $TMPDIR +#tmp=$(mktemp -d --tmpdir) +#export TMPDIR=$tmp +#trap "rm -r $tmp; unset TMPDIR" EXIT + +# do something +source activate r-env +Rscript sim_dat_block.R $TMPDIR +source deactivate r-env + +#mv $tmp/outdir ./outdir diff --git a/simulations/sim_data_generation/run_sim_ind_toe.sh b/simulations/sim_data_generation/run_sim_ind_toe.sh new file mode 100755 index 0000000..0ed6be0 --- /dev/null +++ b/simulations/sim_data_generation/run_sim_ind_toe.sh @@ -0,0 +1,27 @@ +#!/bin/bash + +#PBS -N sim_ind_toe +#PBS -l walltime=500:00:00 +#PBS -l nodes=1:ppn=4 +#PBS -l mem=50gb +#PBS -V +#PBS -j oe +#PBS -d . + +set -e +cpus=$PBS_NUM_PPN + +export TMPDIR=/panfs/panfs1.ucsd.edu/panscratch/$USER/Stability_2020 +[ ! -d $TMPDIR ] && mkdir $TMPDIR +export TMPDIR=$TMPDIR/sim_data +[ ! -d $TMPDIR ] && mkdir $TMPDIR +#tmp=$(mktemp -d --tmpdir) +#export TMPDIR=$tmp +#trap "rm -r $tmp; unset TMPDIR" EXIT + +# do something +source activate r-env +Rscript sim_dat_ind_toeplitz.R $TMPDIR +source deactivate r-env + +#mv $tmp/outdir ./outdir diff --git a/simulations/sim_data_generation/sim_dat_block.R b/simulations/sim_data_generation/sim_dat_block.R new file mode 100644 index 0000000..3f18e5f --- /dev/null +++ b/simulations/sim_data_generation/sim_dat_block.R @@ -0,0 +1,82 @@ +######################################################################## +### simulate data with Toeplitz correlation structure ################## +######################################################################## +args = commandArgs(trailingOnly=TRUE) +print(args) +dir = args[1] + +library(MASS) + +## different size of P (number of features) & N (number of samples) +dim.list = list() +size = c(50, 100, 500, 1000) +idx = 0 +for (P in size){ + for (N in size){ + idx = idx + 1 + dim.list[[idx]] = c(P=P, N=N) + } +} + +B = 5 # number of blocks +corr = 0.09 # across-block correlation (decrease from 0.1 to 0.09 to ensure positive definteness + +### three different levels of correlation strength ### +rou.list = seq(0.1, 0.9, 0.2) + + +set.seed(31) +rep = 100 + + +for (rou in rou.list){ + print(paste('rou', rou)) + for (dim in dim.list){ + print(dim) + + sim_array = NULL + for (b in 1:rep){ + n = dim[2] + p = dim[1] + + # construct covariate matrix X + theta = vector(mode='numeric', length=p) + theta[1:5] = rep(log(0.5*p), 5) + theta[6:p] = rep(0, p-5) + + # block design covariance + Sigma = matrix(rep(0, p*p), nrow=p) + for (i in 1:p){ + for (j in 1:p){ + if (i == j){Sigma[i, j] = rou} + if (i !=j & (i-j) %% (p/B) == 0) {Sigma[i, j] = corr} + } + } + + W = mvrnorm(n = n, mu=theta, Sigma=Sigma) + X = matrix(rep(0, n*p), nrow=n) + for (i in 1:n){ + for (j in 1:p){ + X[i, j] = exp(W[i, j]) / sum(exp(W[i, ])) + } + } + + # construct response Y + # beta: if 5 blocks, each block has one true signal, while the last block has two true signals + beta = rep(0, p) + beta[p/B] = 1; beta[p/B * 2] = -0.8; beta[p/B*3] = 0.6; + beta[p/B*4] = - 1.5; beta[c(p/B*5-1, p/B*5)] = c(-0.5, 1.2) + + Z = log(X) + sigma = 0.5 + epsilon = rnorm(n=n, mean=0, sd=sigma) + Y = Z %*% beta + epsilon + + sim_array[[b]] = list(rep_idx=b, rou=rou, p=p, n=n, W=W, X=X, Z=Z, beta=beta, sigma=sigma, Y=Y) + + save(file=paste0(dir, '/sim_block_corr', rou, paste('P', p, 'N', n, sep='_'), '.RData', sep=''), sim_array) + } + } +} + + diff --git a/simulations/sim_data_generation/sim_dat_ind_toeplitz.R b/simulations/sim_data_generation/sim_dat_ind_toeplitz.R new file mode 100644 index 0000000..1e51d16 --- /dev/null +++ b/simulations/sim_data_generation/sim_dat_ind_toeplitz.R @@ -0,0 +1,80 @@ +###################################################################################### +### simulate data with Independent & Toeplitz correlation structure ################## +###################################################################################### +args = commandArgs(trailingOnly=TRUE) +print(args) +dir = args[1] + + +library(MASS) + +## different size of P (number of features) & N (number of samples) +dim.list = list() +size = c(50, 100, 500, 1000) +idx = 0 +for (P in size){ + for (N in size){ + idx = idx + 1 + dim.list[[idx]] = c(P=P, N=N) + } +} + +## correlation strength +rou.list = c(0, seq(0.1, 0.9, 0.2)) # corr = 0 indicates independent; the others for Toeplitz + + +set.seed(31) +rep = 100 # number of replicates for simulated data + +for (rou in rou.list){ + print(paste('rou', rou)) + for (dim in dim.list){ + print(dim) + + sim_array = NULL + for (b in 1:rep){ + #print(paste('b', b)) + + p = dim[1] + n = dim[2] + + # construct covariate matrix X + theta = vector(mode='numeric', length=p) + theta[1:5] = rep(log(0.5*p), 5) + theta[6:p] = rep(0, p-5) + + Sigma = matrix(rep(0, p*p), nrow=p) + for (i in 1:p){ + for (j in 1:p){ + Sigma[i, j] = rou^abs(i-j) + } + } + + W = mvrnorm(n = n, mu=theta, Sigma=Sigma) + X = matrix(rep(0, n*p), nrow=n) + for (i in 1:n){ + for (j in 1:p){ + X[i, j] = exp(W[i, j]) / sum(exp(W[i, ])) + } + } + + # construct response Y + beta = c(c(1, -0.8, 0.6, 0, 0, -1.5, -0.5, 1.2), rep(0, p-8)) + Z = log(X) + sigma = 0.5 + epsilon = rnorm(n=n, mean=0, sd=sigma) + Y = Z %*% beta + epsilon + + sim_array[[b]] = list(rep_idx=b, rou=rou, p=p, n=n, W=W, X=X, Z=Z, beta=beta, sigma=sigma, Y=Y) + + if (rou == 0){ + save(file=paste0(dir, '/sim_independent_', paste('P', p, 'N', n, sep='_'), '.RData'), sim_array) + + } else { + save(file=paste0(dir, '/sim_toeplitz_corr', rou, paste('P', p, 'N', n, sep='_'), '.RData', sep=''), sim_array) + } + + } + } +} +

    • ?VS@ZR@852u+BFvd@gqbb8yd_;y%__)1$b2pm`8}S}k*TKCDQ4H}C|Z64VU5GWgHb z%%$;Ej9=aiW)jaTKU@>!46u3BPcxa7h5U2yvF+jzs`%Toy|+gw_@s+W=5uQY#MWr8 z1#qY)MGVXD7o>iS!vdz4DI__6{w`PLiTF-A-fx)8ZTHhwvIXMN5(FoV5~19I6r>oc z?U_y2bow$d^v>5;h3fFv4GB7dnQND>JFQb_2ce8K1117KB-Pu@sE|kE@B;C=cPVUz-h-$j zcJ?fx?35B)LZ-ZB9g1amB&q>%4${dlEBXl!L@U%=uwwGc0Yy?He{4FDayzWw$|FiV z*+-MkiI(M|O?QmLqu4P&nEO@`)kz`yt(`%M?;(iQlY&|ThMFms*?zwd(2V1N@Fn&8 zi`v$d#ToI8-nYP?g~Q{*8cYdQ&>jOiP=I|sPe2~dEXZ4-_G!;b#))k4AGoauH^>$G z^6h!d1FU`C2TR)tTSJQ~C1VqIeY`l(;*>&oS7`xVzR39|E~%-+ATkt7V%7DzG`C3W z`;;PlIm5ldG55icrYHPByy%5>hm9Cvi~7sHo>yfa1!CN1o07dE#W^mg>dRFDF@lI3 z*p|D-g2yq{K53-a)1PURk>>T2EXJQQO=gG9<2*IR}FJ0R~(98LpJl0 z)AmVIboE}bsh?>>HJ{2uL7X{!f)4|q2!S(R|7?Mc@$iH{tjTpX^77Yzd?WgInJYi#5Z}$`%%GM zNSiXzfH~(>uK{tkT)j0szW_0BBF`kY$W*cSF@AYx@33dJ0sr#$?}tDHRB7%p7Db*k znt4wL*df8Pg|YHrdRc}960!HVf#mTF%opGGMphzbkJ%UNmHuM^&^JR13Pdcqki{w% z&xx60S+2x#Yd1gtRjT6Mz)Zzu+&%YWOVt96kg?nshXAg?dwjr-#L^49iB z_jEoap$~|e%9I408+~%DIhN(5&z+45rzvG#5qf>iLivrFhF*i(YxchBK6vlprJgQn zd22YYt>VyZt#Dp7pyR~6D02*w5Uv+J2*Tc81egtz!qILW+G$0cp#Wmy;@{-||D8^f3;Gj5NL6O~kns z{QO-_hyiknf%GPu%I9M*EjPlpWa^nC(!TI}?^U~M@RSwxOo%MxTzEDWE@L6TpF?gL z+=)yDouyNp3$UZosH zE4Mn7<_8iPLv9k>TSzD?0Y{T|gQGon&!S^s5A}TWL#=pRyK?tQ><@)cf><%jOiHfKds7lk^68R>4!Ns4Op33Tdr~(k9iD3KU|+~ zh=g^%?|33{Z(F0BIh zo|N#!G7xmC*5gHJ#&sL!VrnpHJion3g5#qg^f1();F5H(I9sEZhcLW=!QA+EqUSFs z5wP=|v`lme0lDI2l)y2poy)VWYw!riOd+{4JN(SUP;! zi}nEH+z}jt#snSu_rHv>nmOf#!51igUyEE;DNhVeTKqGQL?>g97%DJz?yN& zO-L`%kcn&|N83hRKtk(h6_vCL5=1C!0M7ZX-@%8)BIH%WrATG(eJ%N8D)uBadzSc^ zr==(a%sQqYQ%HD5TY#4s>4(g}9UCtgKH%N ze$K*czX3B{itH=mEy~q*CD)J(1{60bmC>iGM1i>dFjfN}37w9r!%j-<5-00x5qoU) zm~+DqaRE&jNvofkYA=oO_7-P;7p7sB&jvhG6wU0T``Hb!+KR>Y>kl-*dUxI@!v^qE zC9l6|KIqFwJF{x0ih=Tfa5ta>#I96w(mYq>ksdkniC8lKB$1*X?(OaGjZ;QLqC%AH zNE7KbGtr5iVr?IDty@HPp5a-7yyQh68avdNz@=E+7$t^GHdkwqA%X8gC8Q__O{4cp z8OaDJhJM{AJCPjq85N^xpt!ufBBr`>#lCJ)LoJ+HN`j&H_PweR>}Ic@k=Kv+vU45D zg7hn1bfzF%(`P1@UpGsRlllh|Aj+fie=qb%KKx%015i7N9O69bUq_kkC5~cX;>Ode z`v_6P`z$L)e#--Q)nH~AhQ7AAS^Uize=Xg#67|z>3CKNfFlB}O)arlTnqW%G_>?y1 z86ZKaLm6wnZTlfXB#+$Mo1zTDU}G&(tY5fSlDrm`uWagI*n#rr#?&USr1~fA;Ln2s z)2=F|euatEJr#Z@6f&>mM_)89(O=+pBn`)WfBsgqN9A4bM{8u>Z;+-vEJ)p&>vvTnf$e6w60kR_PT1t z@dm@#4sE=hsfFThO?XQHP!Tkgl6Os?5&J!r7QeF|p`KJjb zI77xhY4`4!G^x?kNZKr;k*n{eKhM?D&P&$*9e@8@^fQ5!f`V$#y97})DC3Lq)e=(Y z+dRx$UYjm5+Lo^1R=Ygl6Sn+=w9CV0oV!jc1Z6W2j4{ij>C>0i6(cQU=o=Q0iZ+tog(qAP<*6Q298H+uz$YP zf1W193Kr|K&k-D7sHd9fbn^N4O#BOEN1%MN%z8TaYT^?DdP?7uuuR<5#^-)BXPuc; z^{*d>&#C2C18zi{rm76c`z0>kN5%%||H3l%MP!eFQB-6Ky>w?Q_@G4#hnX74lt&yK zvVfPo3ME_)#*!D>9wbo1czUa3k^Fw90t6L@oXNWb6 zdycYSo80#A>gp;P0NFYq+e}YA8>>~1*lEHq`V4fNLr_H3*|p2B@h3>MDFu_Ih=vOR zqw{DLYmGSzbKLfDL@I_*bzT^1-hh!VSNr9`-iA7kMyN+0?CVxtS)-6#rJVNf= zv{I?Nck^I}rHtb<6247B+o}Ron<~LYR9He>N$hmeXN-F7Z5>@Mg_F5to8$`5{P)x) z7Uu254sVvuF_+PFw4*O{Erk{|rPpl5J#ZA6?{tV96kTlSXd!Kp*O?>NPzvcz=Kdk@ z8gH+iPn`QcR`QpsPAHNj3;XuP3)qQP$Z|^id7s^ugrCX_5A2ITcw#xQPY&_}$B>?&+i5>cg*04>+1x`=UwthvWgBZ;Uvn z^S>tWxgW?KOGQVuVT_So=BVA2wos7=MHYL1LcwR&iYf}Dg}h&Efx;~+x`-L~n0Pm! zLdqVVkstef<7gXtJ7jv+-wy;ADW#>AqH6kD5r;AzIO*#pp~S(PX%!5_u(R76kK%HC zZnhHQzBEVwVs5O9*d*Ndh_?SBxCPi*fxUc_Ny>udFwi`2n1v4Cahkhfz;2 zmb3+<>s{x<+)EVSC-2lew-2@i4_(267ex}>A8qjy%jovIqGsdu=(14*DAHwwXgv!! zT97XqM4&&Vy0e~l2@2N&6`(0MSmwf=_qWj15m!$^5u7K8R>$>=3riHJC!_-m z&96Lrg69Reh0bV3{ZnAzBDVNO5D&zo%#{m=@NneeM|%8^AA7c(4cEM5yi8z0vMzQG zYLHuz__J3k`RIuCUC`cg33c}Vc0H6p5)1XXTxGB%2i$Ls8py_z!FIh`4cP!>*n|)B z->KcydH#0{AdX3#8C?;)F2E+-C|y3iP%cAd}7>}Kfhx4_rq911x%=+D%Y6{F#9(;T~B zu({C{n5jn-#Pf;*tY=^Brv32uLCKTKg60eXBdz$x!-l~H-YEcVGkCf&_#;X^*ntT9 z-{`C?IF2s?iJN(i#Lwnk_{+XcPD~b==L^UqCuW3`vcWq!F%grene{LH@wR78TnhkZh?3cXb8xh!PC9gFAS;3^8taFs0t$ z6-pbW2{S&YsCibbtSImOvU`~7qeG=aUg7hrwJrWg-AVcj0&)jt+p{$dy?_dJJgZU+ zOg~gIR}q%hTYDqPtpDNI+03vFOM{y|Fht+SRa8qyn%G!eB$Ovnf~9hLV!n%(C$97$ z^OPSj!2<$h@km!NDCnh^r(~S>Y8-}|U#dr?p)I`T3HvgVaqO1@#W=$MGb>mGE#ozg z@#C>=)>UVAmgAhWC5h|%yhR=UlOV(GHJ0Z--C_VU&Z`v@r`4YUJjKXUiPn5dQeufV zq5u9;B2QvlZf9y+?>^K6&iRd#UUHsl)|9k&BN>ABfJZf%I41R#QwarHQUDjsh?h8# z>)-VsJVZp;8_GTX*yEDK0?R>cdYG9lr`Ig64DTU+s1O($C#}-`1v^mOtdD4a4bEws zzB)rC8ypG)y?}5g*zLdXC7Vflt_w94V=cqk%O~g#*tJ?7-&hkg%cgL5W%yPV=BuvB z>c?0C`E!d#9VvAQD>=CPb6nhx7`Dz8W~ufr_SnP#74kf6Q^?`yhm~I5322d11#p_b)z{FX#SZ3YQ zk-?GJR{rdP#p|l}Giz=W-PZQ+tJea2Ge}cMKfh3hd|%zVc%s&#bWTpqnid=jWfGlF z9S?(=ny+%>9*JtdK;30|>c@Tl)_5Z;F5t%RpY$*h96~D)unolRO%4_mE%Uv%`QAen zA##gX^{ir62J>AtN9pOQ3}&zh@7Pv;x7XV;d|37NItPSirziiBW8S?(tKs8N7wFG8hbi(>mQ^mk2)HBghStNk?wju zFIQvs&>4R1e*!E_+B-_t#|1YVjhlzJC5u9Blm*TFPo?I+TEtU4lff4P6ovv+BO1^V zFs=O9dgtu$%Wk4jF==Cvv>JX1Oo)a|c^5VR@iDhkJ?Z5>J(YvF-_Tc$(f0PS#`T#z zJgGC(c(Q?#s2+`OB0TF`u1eB+gp14b{B4<(>2u0FvHhR;vD|4`iGeWh9G7K!vU3J5 z`}n!b564G)AacK{fP2niuG;PUJIFiry-zM(QU){=XK~XZBjps;RlaPINJsV7P>Q~w zVr^;nZb~9Tz^I8LSOay4NWCm_npgHP#EgSK84AMT;OfYUHdYXo*)QP- z|4!V2vs`H9Y*e5f#4*9=KrDiY_4c>Q)lNb%HN7U*w*);xMq~p^i^Sdwa`@J0xnCah zv>FWUn#_)+;5ot@srNtZ$&V1?U(hT5;f~|Vw6N}QE~8cY(12c*e?~hw*dgm=>~M0w zO&H!L4Lo4Ls_&Dt%^$c+9~*XPiuNRdv4=i;;HpWCAWf-e#U~bxIa5Px5uf=FwJF3{ zseBG*X>3iv_?v@J#zp0_Mw6#c-IufSBGIn>_gERCGl_=YS z4&tGp`4c|VEI(wU>|_N&nHQ}Qq~Rk13YS=&Fd?$=UqleTh171hk3H>s!`q->L)y+U z6Q9;tomZ#w=mmJcH2ft6kT4RGUdRFH7I>n7?MMPl#KCD*1mwC{-X(k*z521FG1;i2 zOtIj?(8-(`odaoPGSB07Dju`?AZCV-E!SplBOXif8zA@O|5&4Jjv!kFvox%$c0P(z zk!PPv_#(|G!%maA@VQ}lf+oL65x%Z>Wkt|+aqn{l=}g@Xx6j6TveThlr-IE9`fge`<8fT%t?M z<2ZMF`s3zwauLUu@4XDD5UxgB?(9d(1;?LoB<#`0#gam)8doRn6(oN(bfATNDn*I& zEl@z%?76O2&6}i~#)E+#8eB33Lha0x68ljL6%%XNgtzWEJ9o%|w}mhtgbo%>4oycD zjdW?=d%Jm&&*}v(F&8{ta2Nsii)j$H0H7G6!6EDU?+V@k80B*+Brxp#o(b@?ee{U7 z4dO9El&f2rFQ+`X*NL^J%sJ+>oNU&aR`fO|n0VvXfN=>5N5iXEk+(&QGf%u~RKU49 z{M84&YX;uYSHn88SZtZ9V^yyqh*t-{f%#=e>SszNLr_y>*)%uPd$(KxNPmS`RcJ3o z?}wsOT_#52z!TzGHGKON(m(E-bLoEAETcr22$JEgZ^+v%&#|}!QBK|tdkEXy)(Q+Q zAH*i#7fheZxG66}v57v5Qz;c2J1sAni*9GH#USew)`vCWxOgx0A*q5FB8XWS4>A=Y zLAP4RBxVb5(vXCISfA`N;#e#pUyn0ig=P4X?U`p++fwwfq{Up0HX+=l1zEL8n5^sq z&Ei+jZE^CrFu1Zooo%*KaKd+ho@vx=ge}8-0RQ2>lb^JXW^m=d|N5Iil;FV@RJo+! z=?{wkr`jUEhR#i{oO^8vIE+>UYq^frT7uFB?27kXVbmIVV9-^o4Fc^k{IOAi0h{ds%cB8X`P9O1I(qz?#aXT%N`uQ$lz| z)Rxi4-a1pQ04yu)w%rt?m^k?pcF|WxpXR8Gx4|G!eXUCL*F7H=o{0}92|l}Y3CVBY zMNr=Eyrnu#2g=Z)YL)BtwApGxNZvKK@i&6FqOzuiAX8W4u08u3S}BU`y>mq-lvwR3 z?|4-?Ir*2H66dQ-c)wFTP4a#*B3_Fb_JKQE2vh!>j7!>LS7rFI>8`(_G?sOrcS^$TN1vh-`@(*Ec$c&lbW`Ag^!i-j9??sR;eEKjy|#ax6-{Xx zFf(eFb1}SpoPw0;)?$|9cvAf@wBWH(p@jQNaB%-0QE$P}2C#MQA_0Pj;8FQ=-u~MM8Yw_Z8({sM_-d{k-OlJ1%z1FivK8k%$s59SAyi>5l zPgDX5cnq+<#Zseks%albsLx0}fBx^w_XgMt zp;=g){)OCcxTU1G1z%I0sz+!P%oO}^VZ4$FIVt! z70AVA{KNBT>Dn9V2XyeG3rDhtvTbvM&tmu<;T3x>x%!}9O0pG zgkdx&t>iR}+VTW9R8c105}=1cT$#}f-L-wk-b0BV8oM9x#L5;EZRj^4ePMQldxwAT zO1|64QodsqO{+mptPYfN?5V~wT?pNACJ@!&`$i;FK!fazD#-stLn;X^hE$^Wm(yWv z5jePg*W7b^u2q}xr}Ft~49b%GVa>^fY(Z;+k_rN!%qsQf(&! zT$IPW!n{M&=mac52)^=b-urK0dXp|Hn8+ky`|$wrf33xQ5Kf)%hU(x5DA`LmU4ctC z{e`-ic2dVp{?a6(j?=oY)x`u0W;&(ec^`KAP0%kpifkY{-R46GljH-bJQrH6j~>E@ z4o48;+elG3;vabhAqmH6bR7xRke~8CvyQb4W~%4G_+s*(>mL%(m>$KSc)cYxBBe)- z?N%MWqIL7V+GNDFw%;hvN!-`Ib0kGb7=T0zC;8&W#!6rm&cDN2b4|)Ti5I|PqN`3{ zkT6*G80h(^mUsuWkXsj59j;|hXO~OGX2XdE&_7PqN}fq+vo~Bepi5g5igpi#^C#6j z`vXQ^FCG-4E^~KS_M6T2*&1^Vw9l?J42nDPRuiBwQ`s|>niGK1T8WWZ8%M(Rq3}P;d@l*P{9Ortn)5%H|7Fi}vNS&VwZ?fz`pSKlWvFQ*uECg$8I{qW1QTg6 zq;cN$xVGegq6U9zrByfX>wncQP-DPv(9iV{86m>R2{cw3Z*|w*ax#p^=}7LFS#E%l zj*LyC1&gXxk|FVWZ)=nSrJlfVR#C@9)G$0M39k*yM0@NIBI!XB&;aZXt)WCN5Vno# zr9?=b4-fc;bwe2emQ94KL{%_on00#9OZ+lPC1)7_v9FJ%$2qSdLgCi9WG7zVf2P2ap70A|LOgKYI=?V z-Q&~q#vf0N*1@&Issrkyc_>mfeCxhqNh!BNk{&!+|Mnt(9pj?;4)1cG5q0}R^oNDf z1qpChWvQNnocpHzvL}h83&oZOPEUV~1XC?d;g=uYb4!t*8b}N@Y0Z@5A*fk6`bS|q zpMYnh)(f3<#-cvCEHaLL%5lZ(>$eo*Qv<8W{7I8l8g|1it2$Ruj2$sVsfXTZwkzL3 zlsFyEk$Whd`y)L}1ULIl0veOzvgP;{=HBxYeSNxemOO_^dZ8RI!T&WAb7TX<@_e-=0|U=F1cBE5nquTLT_JZz z%4nFDa;yR|>U=v6lA|FaDn8mPbpPJ_uwisEc@gPhIJ;#7i|)M# zJs$+QXt8h07{~SX3{%t+2LOFYNvI4P;cQK|N=+@}@joBPmd zP=>oyy@4R#=ej;y`_T2#E0Q|1rQPad$I%Kp@7HL1I zW|{ejSV`{C3FSFx0%WNX`U!Rep8qavhd~}?X~wB00q4%!L!+}LO5B3dxBq>;(IO-^ zvA^BPXJ$srKvHFGC`LYfDiJniGlr9}nV%;OnTCe(!X|)cM#%+xB0d3ZQ^n^0_3AMI z7Q=F7xvId={Ae?6h;mB0!%WoNAD2u@FYPcQT9TAf78v_NTGis_L;1dO$Ep#0Fy@p~ zM8Hx{uf0!{|FpcfqT|01-jQZH?U3SP0oSht+9ElF$VUeAORHC5w%Ht8hvuSfC zb?h_&zDj!tA88T%2w+Dr4~=EV@3SlwK}ib5g-&)_Pvzcms*2thuei; zQHD>Tci$h)o3c?c<=AO;u_c?Tpxc3kL&Vf)=Y&7UVp9c^xa=mn*IFopxJ=LX_}7yN zvH8YDL6%j1l@fmCHBm7nt=u}0;GHsR ztRe3|$dn@Wuob6w-fZxku1q-=q)?x=ZPPwIyWEPi?Wd?@mTEu=UlC1|NdA_V*Cy)qxU&jaVSGKBdp z)krT9G=+dtfyn-&OR@T~9TmAhbiH6{CsQo{+{q!$K05 za?Rx9CHqDJ?3c|P`H=RJ8WQxY*`|Kk*Dxzxv{YC5S$hcfeqxF4r?Zx&>9P>1(D=2V*7~NAlO{s|IOWy;^C5f3`01MKMF$05oQO!No)>=)Q#rN%#7u| z;cS~(otn89x6$nxlD+i2?tzb{5*$UOpfPNBf5bAy?m^^qaT5M|#K4@1O>N3oT|Ds3 zL?DVuhW!^}ywk_w&8xnEP_MTvvaM4U>4c+Q{?Os3DzjE3m&$?7pLzph;3|Cl5E{^u zITV~f5RV@K56Z<2Hbepr`+Xg%OEXiiN~7`>ZusrW4_wgD`j{mAba{NddvfvjvO=&C ztzq34A>~002NpbZDGSm-+p8$Uy2aTsbL7z0)WoF+q=n)cba-(FJYL>!^QSKz)x-W_ z4h@_rDs&OAvsEm?#g(}00E_Sfgemtmxu5QvLbHVc=BeJKBUcD)*8u_ zQrEM5QVZLsr)M(9$x5Y6w!vQ<#X(jc)wu!*;~H= zQ=o}*6^1lafu~ColTIbB`BcH&uj}70xe;;$HLaC6yf>}Gx z`aJNX`Fw9q2Fm{9tNo9xjX?mw0-`OoC9$%~s4APNd`+KLZro%~f+M}ydvLMnbxB{6 z;Tl73rG)?oYrc#`@Xyi#7Yfl%YjWB#N2O8Kv@!Q$$=ue(Zg#l4Soy*d;r9o9Nw=&A zEP62sWkwPzX_F;1lI+acr4^w8XVvd6leZJNXN$65Nug4m_ml4;@az!0-wCQ0*NjV# z6q1-tcaBiD>^~X}8pX8KBQ)Yj?_&8OFB)GsUrQMzv zQXY2-S@q4kQQ3g7bI-03PWZHCI|VdBpe(}X2wViJEn<#{o7M6^iT}Rq#YuV9PazR^ z#ILMTsk*?u{LS#zk&vGN#VY?HS12bp6!Mcr0E^&jsvM0Vk?-q-Bs>je=4B9#-G4w( zu`h?ne%jo|VR3^A;YR=B&Udik$0pUjM{19(%jcAoDM7v=autbQNWY~)i=Hgt(AFl1 zslPP=#J@7d9G7&It62TaNlLCr99X^&8+jq@IV?Z`l_i4Ecoo2AhK@`}2&pY{g?!Q6 zNuPK~A3b;nbIpxOAGu&DM*S4HauO`zL*@cjMEqUuCrau4Ey=D)EH9UB0@&bik#tw) zA+JaBMDH{9xO+=y1>!fCFzcg101P;L^R|?DR2PPy_05I||M@moTv#ZHC1Dmjlp79% zgEUW8F9gF_-^?IfzGJEXdy1HV>c+qgU(T25x>%TIbwmyxV%#z>KazBwj`Ep5UpYQoj`|PuljU1|u5-~(x?zU4w69Dm5&k<0RVnN6EX8@`{nuSG`1Vf2!gkM$E?@N|Q>T}>6=X6v^v`6>@JPDmF)5?GS6eb7)r4`tVYOCQ!-3%wwC_Q6 zSA`*U1_Uatz}B8nY-wIcyroOHfSTTCXoqX%q2Jvo7Q|t%gvX{~u4m~;^Z*(~gBE`_ z*o^qt)~>%2l|_lxitWIrP81x+`1pE{)Wa^C^=WCqS=qZRIv5V~(39eSwsu&9(*Zz~41yBy zkfOR0_~pgL)zd?@f9mjescJ+r7U4XuF1^Wp$;177J`D?e|GK`U;3@VNRCSFjo4KnpH zs99r+felk0$yCgDH)sZUJ@elWyy(zwiq-lLUca+Lyq8r_XFtzGqpB|sN}3fsyYRwZ znoGooW{a(B-q7u2JErrx3YgBjG9&cIhzC%S+8StBT3TjT=LvmgCK&&unD15jH4$s(eNQaHCI%|NWh|9^( zab#ZBB==(NMnDL@JG_FWqWrHAi3?KClJx6~ zz%}Q7fgT!2sr=2KRAwN{naXv@CfS!W&JopOn|zaYTRII$CmQFK09sEWD9CHfOA04M zzpi=9m35?GRjKRXcmgj(wLvP#OQ~l}Em#Bi6*YZhe0>u~!iBwm;hMc6X}w3y50nrl zO$1!u;7;&x(bT#TD04Y6`xOg(!??Q?5)f$Vb+-5k8fHLA;)|og&df`*X#@(V6oLe< zG!0KYqhIY2oOGb$DCNu@Nc`)eQu!t3z@kZ9wxa1ngf2#3o*#E>+E2Nf4SF7)&jQ5= z`(fiIakAip@73UkW#f0;=3_W@8u2cLPR3+Qh=Jl&8qywH1GwMkKJ{U@zrhOjDm1~n ziLeL@rzki_pHkY{ZHl0|W;Z05BHtPZK`-zhNP)+yejl}P z3Uot@Q2vRW>L5KBy0@h59BI%_A567OwnJRKNcu0! zi^`%4=o!&}j;Z5*8Ev`D(4C@=^AL2b0okr^YGFj2Cl8Euf%kTc6VvT!gw-A&JDRQPi;V{};i zRhNOMhjV4)FwObyI z|MY}-7zi}Lc=bO~3j4$)=9)trEH@f;V@}!19`u{rOo7v(Wsd39Z;ar3Ua1rDuDmDH zoyL^SJimvQz5V=EBQ6}S@!&_!GdL`POaKB4xf;PQQuXn!K^+%$-Pz@@gM+^{puoXh z;I+gz1#!wcSW^saemQX~GlG|dx|Bx-;qEU7F$pK7by&WRI>}9)bz)!TAf%#c+wmcI znmyhHBVXOWFg<`_b+|cZFeN?E_dL8;2I6?nK?}SJK3XJ8es8lmOrCh&I0b1HM{J*Ce8afPR(h_UzcRWNv_=_cH3Gm!l zQf4FCCAAJxEjR2))Q1G7P307kS3hHiORti$pBHG98}MM;3JYxr>)e0*okXj& zlk0n$nBae6-r#w*X2h-;k@BfW)o%+I#tFy$zxqfG=Uh2Agu+YCS@E}oo+XTZt{iFy zW_?3Hw&bc7sDKb2&k{<_oyn?jkQ5sC)9I*`D`7#k=xY40FL_+GwU-0#`f_*eI=67! zSKrJJ+Zw?8NE1*cH!73Id7FZFWmY*I+BGdi4aszTC>R3veTm;e#k5VEi6b5{%q zp^|XLn&+R_NtfWYF*E{_KF7R&|3?eGFP4&V#K`?3hBpa(C&SsL3#u(*to7DFer5vU zI{f_tZLzV1Z=DZ^doSG<_@W7ulpSPvUgwtzXJUW0lfmCd48&=#hi^gTPpV4!DZUi+ zUT+WD}w*~mPRgod5u zDa^j@II_LS^W*w9aW43#U??zl=AEOW#W+E|=PAeg0;}NpTc2~{i=PWc^am^#6B*_^ zmRCs`i?hRE24wOcF3XHA-Y0Zl&sJLUK{13Tts z35*9Y&x>~JVmfC3by@W%F}l!+!$N1S%2S>UEq7&YZqwcMq4nT6M8UBQ*q5l<;Tj%( zVR1{ZgIWRmxT z(N^Oi`G8F#@1nn4b8+*QSG7)fqdy~|Z5HjhF-r}5Xxr{JyF{*N{5dR#b z2io>ROZVPgaEervS-r98AAzzYTe3pcaz2=}s~_I3HZ@nQ3iOJ9hP%E+&0RW|ch9hb zyBI+psMS~QQuM97qQ`>TVWi3DBS=E(eR}k{rSBopu)w?<9!|y1vSpN{mnF?-yq?#FOSq1nu*-TQOfuOnI67mn|}32-^_Hwis{jj%Ex@7(NJo7U zQU+t4qzGOUJPTMGCxz0a+VEv?F2Ij#B2jL`3%A>%gcU#c6TeuYU5M3w`<6KjR zO8lYW8@|I5444jWA$%ljkc94;C3%s+`0G9u=#MT_!8od9l%5Gf&H>sh&Rtbx*IWME z9d}Qlkp-WXebUAi!+35mYAMncDJ_rnL;*8o#RxA%jpRq zC7hU2ulAkX{%w?~Pn7KZPsIb(KptZAXI@27zYxxI;Cnxjz!s@Oq3>B;2@d#WWh4U- zU(vlD23E>)Jhx&~P6(MSlhyfi!zM2RYc9A&0{enu}gJ;#&X%xVeF`7)KqUf-S9= z&l(sRGaNfI{+q~}3Pcw>4j1Vy8`e{an+*(4Y2R!7w{E}4qbfeDWcb_v>O^UNL0bCJ zevuseRX_^s*VZQzdy`q-udGO$KE$@_a28u~twD5&G{x-^ngASJrjSa`?7cxT01T(k z`*`lPye>`PXCYvnlII$D5o?@+&#XOw!X6nW#*D~a|Eac9`ya`;XML}mERj*Ol&Fv+ znbXbqe;dw30AzAPe?72m^~RwnNo|FI7x7(0w>N}a-ig?gVG5wVeh3xk6wVUtRsz56 z?q|DC^NLf#aLIani(1=~r{n_a&>HCL z;Sckkzq>LPS(I(nNlyg1=ew899_OC%QjuD9gZ2ocstbJnr0mnv0B+TLQE&YwEQGXE zUEWylIqD-(2WO(81^kYppf$|#wLTsA^7=>GuY!0!aiROV!9dtKL>a+Ztm&I{spLlw zlB7S!y3XaLz&I{I3WUtkvE1m#1_%fP*G8ZIW>i;<+(PL^U`$CL96ah{XpAPRaCypu zSGA$}eb3!LRvLj^KW#mjPWT?zM)?gAjx7`Z#Ws1{t;5BNQ?gDK7g_(%(Lbycy4fk* zxhzk;Bfj!SDo z6h7ebxe|NK*+e7S%NUGBVTSV;02F)jHN$6rRNH#S>0p;dNMDMWz}WH4Fxewsmm?qE zTTgN6wT>NV3=gsZJhK)ZFT}oHG7tFv>J$SWmC_u4Vh!X zO;qu=Vd7TCW*m6P8yy^DDLv>BY!QOadI1@wRLvKWY7@;()H4}7c$0Gp zXH$QZGPLbhdB^~p0Rww?xyi!3XO=9deK8W?h>jRZs5q|)-P7jVM%>w|ssLD&#i;T^ zw%m`E`*ey!K0I7EN)@lOnpH01i-v(IX4F31d@c_^_tb1HP5TG7HuJ;Ie|>2f8L-7_ zl7wZ)-1w3j|4q(qx+J9GMkcx{u>X)BI6M*hwM%+GZr(~gN!r%0W?O7UeEMl|BVn{s zl2;F}b3IO&ZYCUYC-}O2HA=B26lG>^g!!LcqDO4qh6!`{Cn>01M+)oZfiR*Yx}goc zq!n?eu+@TzOp$DhH9RFvDhOi!0mhtS6|kOQ+xAu6AJ+2KVB#~*yo=ta2pP_eaha=4 z*l~w>!;s#=5OIf?tFFz`Yikx<&pM-@g!#3SeTdX}TqqHPA_CK26FT{WlPjxcho-8V zZbfo_bV(p608I%K>zEE0M)pGr%cBCequxGfs$1>VjsPDHqsB4T56U(|TKc1eVu>u) z6?7y=a)11KTr>22&f8z{t#thG^=oB&Wm{XaZ_-iQxbOPzivF$0zW)z1&<1UKloO6Z zL}j>pegsD8Ux;u7wb*m?9bY!{3pyKF8Q1N%ariXE@QofSpP$>!3Xr&%J-dS7uM7RL z=d_HG^aa5!Xgr4u$tM2me*xP3myBD?>`0w8Pe{tZw_;0dY&br`l@Iu+$s>o>Q-nNp@7|Jrov*$w*l zv1Rsy2pQRJh;jxVLVdpN;#&PQN-l&-_m)UYPY)pKruINHm>{0UKR&)ly}M zGRTe-uI=YI%i~3qs0|>LV3a=Atab z2jO;Xa^woIDVnV2vXY0KfC&+sh~iP_xBygmNt_XUuK)tp6B#|inAR)|vwFfQ3j9QA zp$=YbGSJl1{h*zThWqi^)eVKx)&{&+3e^X=YUT@NkiZXgqKVnBA>o)h@Ox)n*xgD` zLr9!^=7H5*b6W{Q z6{UL-kaQmU4G;bybLLucvyJ`P3~`^WEvGN(xPj-=267 zK%F8KRFP!p;sil%t$Nci4#S{{46C~~R#*S2Ge3oGEjAPbtQImSK@MEO4I$^w0g%i9zG~W1Voox)A`nBN7;!M+n8pdkcdgvrOrr7W{?3Wqh^w@xOwOf6qU(7^-=utiR zyzOFQ^>6QOP7viTqo*O>J40?39(f7%8?c#mKtl(HJ2aU6Ky11k%s;s4A_9U;C447{ zzf5!7>+Ey(cZzev;4*lAGFa1q>9C8w|HAMFo>RA7IKpbSl(>uON%YS>-RT4UV(n63 zfFh0uK5+<62>u2nY`_e1LUzAQH|4`A&(wXb zn>J7XVNs~PmBl|P5CqK^>7N9XX*m&uI40sv`4mGyNm0qhX8Bw8HbV?_ax1T92)wN6B`m z?NHPfDb*dhzc%jOqG~G-rb^3v>i{UaGrWcPj|dT6zgKc!GSHoO>DnXD-r)G=^-7+2 z%4!v*?DLAmS+Z<4C4EFKK63m%g6ZL1M<%@ z?!D5_N|O>Lz1xZRQ@Y9&MP?9g$Q zPiEw@%M$MX96aAD7P{Al6k{+SnZ68D1&59)`+)T7Pm{MxigkvY=C_QiJ5E z7Soypk_j6bagOVJjS*q%MmuR@X*&g>bT)BM!Lt7T61}}YgDx(6$DP8&LhRj(iy9ICWR?6uu!ka(X5hN;VT{yeJ; za)4c~GNG8{Ou*rrwFI@oU5yW%#svJiERII6B?|oAuM$r1nsijDG1%f+DCA+dv_6xA z7n?jXV|4_kxePyzIdbjGy@L3H)4pV3fL-$$H_G2G7i-LWS>f7H3mm9hZHf z5VZKcE7aPzgYaO3CW#5VWAWWOqDBdtWiQ8=NvqCmlVnWO__g_}K~4HnSI#^LY3JSu zddyB{AlH2I4CYPVz5?I5?J52(`|f~4Rl#X*CR=|XcmyM~7U0wRO$mDe^2^uGvB%G+ zzaFGkEIaIc>-6+1{F?=#2wmf-DwIZh!_nMFi(Jk?5iGU~zI5H4W|@|JmI8lV^kVLrcMW zFi@GgsBP#3-DP|5n=wYS$Bw4of=aZ=W!*VB$4U`O?4S%P^T);{1pW`N5P@kb7WPVx zFGbUe7x55EIN3k7hWmEUR(Ig42s%OXJ<*`SEoDldSvrqXaUJ!b`owb74MC|_f`Xz_ zPqWlD{g68kikRsX{gQvx1_6pn7>Wo!tJv0CEa$EqOCAl6nCqV%a$wnTBya?dLkcAp z=Lcmd(GTEUyarNVjS3;AoDUop`Lti?-_+RRR;!YZKPj(02t7L;caa+$znc3o;zwnO zVCM=(#Vv$wC&kdsY5FLC6>B+;lSEKDLIWK9KEgUD9u5{v2Q%J`5nE?-+OrfZH#@Ah z*?yX`ANg+)^zWupPDLb_roXH)qL##dJ2F5rPxqnZdmWH+98Bt(nwzl?xyoD%g?hIB z>H|ttIOErjXP!-e95(k3D{0o=z0FvI3P?Crr4KxXdf;xaD%}jQnIonTo@5z%vj3Xe zIw(VJnL(dA4L9t2`tC?!I&e6~N)dALlDmm>h|xca;7`Lb8o*^3bd&}v|^uA*ci-8gl1A|e0;A;WADFX8NV|}W83;246ji5+L*~f zM;(P^0@NxVs4?U=6Nr|Iq`8?6EiGdOFe9Co_7*}ztWpWeBC%vA?cW;*=3>GLcHC zXoXBj>N@Zxb$*tdQjq;@CS8392|a1JN68VxW$kH`3i>3LZ|2*#bQxG0P)t!&mOamk z)IB>zXr6aMC2r%3Z3Q~ioXjNK=2p1qyqmJbjvLXh*Oqpah#<6-SGycWM*j0s{8k_u z^T_hXYmxj+g72&J&w3gB-6LIj_fq^GOVXY`dS9Pi>M4gLYn;v>v}uUksfZ3(eHlL1 zR%+ca@+V!p=h>HklqqL|*68O)-V_sXa*Wr7D-bSUi9U>%r%d3{(I@!nRxs5mX)C)h zS?G#nHgsG9*|m?dgA%Fqj#+=8-Ku)~B(a&;_lZ-%!-MJ@gG;xB+SSir_<>M>?@9FP zm%2;)RPr}EygSdFbs;0ZgVQOEnRhFZJ%PaY(f-w2A_do9ZqZ1jK(sbhxt()K2`1NU zK1WB&35q~xg&>0Z$QQPM4=L6ShkswT8VA-ya3Vr~oaovr;_(=RcwhR@(#d$FPgPO) znA+LQ&P9ruK8~pjcAxx5jZw%j}plKNKBP1-4pNq3{DS0MK&87RRkOeo4|MO zogC^Rl~;Yhy9vXESmYtL_~YUeqAgK7>Qa8ndTINIs`h?;TxS=1m`RBFeTPJ70QrY@ zjQK5FGluI`zP!9_x!&bpcZEJm<`u?b*oG&;$#p>3%9J_KsxmTLU0uxu=pT}aB^V7s zLI+h>-<>5YxXpJC{O>H{atf+&cq09gdSHAO+AGi_QN?YeRicb+uESpdui{ZoC56Zh zi|`c(Mj*%6a$<$z6qiQ3y&29-;}!(gkt*RF@opSyuzv&f@mVMP^}0-qRb-^uxcm7o_F0ye9%2>ZV|=87i46+crJyH+RUY{NI_JM!mN8G(9s{7b7PQ`RRJ za)YL|+LhTVe z=Ohmh&%(Y>b-|Ti6HsiAzU8@e{ymi2M5rkwvGEy>K!PXBNTN6{6b1Wt`&PJLlWBj% z&w%fkZ234(mr?;0p%PQD1k9a(qwo3357zC)<-^oa>$A3Fw$|sH-IXmDaC6u*4hB%Occ}7C_)X zZ?ARroXG!m8}40uJbxX7HjlhH>x>dl4nQme(KCxc${-B|62_K@zd$fjrLyHjBlj`; z;~0bT3HwgKo*~bMgaE5Faai9Q3!vd^<1dNXWup)Jp{K-fRvmC*EaYW`Ow(PoXbJjR ze;CK6GbYNck1@851O^cRRf}?pj>;{`Szc>oiL2`?yYvBH#8=_rJ^@yFuIX<^aRYIX zEF%~!+sOjNsPf`bKrUJxr8p+!y?voh7zJh2Qi%bdma*=MFL5tlX08&YKjUzG8#ed- zbV(*S)~1uYsf-G|B#NHu)f29y-;y$4PUZNTXD9H!QTFz1W+J$v8jfr-TL^84d>H+< z()jsnNT}SAQ!)xxx;S=tnDWJNFQTgt_b#EYFVoY;xWRERMU#M164@smo;r z$~+DU6XVN-CRJU!>6#FNU55B?w;Mb&<6e<-F?V)4Jw`gKzvKfnHQJ67IXc)*uHV6V zg5dD(npwm!^#}r5ICRRfa^#TDGBrt{9v{TDR18`r6ONmK?Jcp}jwH81`=7f#i9doH zvq*N^g*=r+_CiAIfR=2MOj?bJeZB8p>JHK2P`lZC&$SucM&uF?a8yqq!l;!O!KrSU zV5M-V^lmMJcEw-=8rE=x1>|R`QK;n$Nd;RL^DdCpX9jg)^yr=tKWx>%9kMQ7rP!kc zEs%*6tXA9WPa&!bz04Lt4-@=H-7_hA{Y ziLs<}NOip=s;nnfq;HLgBC9&A%4dkQu`cx0vE^Crh|`;4$E>JC}RZzo$dj#D_v#y zim*P+^xHdF_RX}!V4IR0%e1@MW+*)@Mmo@f6lq%tXfmC$-CK54g`886g)nvDrJ-2vUZB%!tS9Ys;QaQDzkyN9W=}SZ4Zn3G1&fx0lqBWybgx_z@orzuRT_FrLC9w#ftTOgH%tXXGeSk88V)x}N_ye(G-E zRRPVxD!u>iRR&fRVUF^P?h6WZoTn}^LMkZ062?8;bK)j$3wWqR_ zec0C>Jw!M#(jgaWn9Py?EZ^7Q&zrWnSxxvpR-ITwvA5rvl<4=)MGg4N3%$J#gMeb3IVwpTJ(aJm1?tZ#TYycFpVhl2VGtW^}F76&an{Ns}M zDFX0tO`cD2ZB#Ypj6Ko_Use4V!lbf@JTNNE5#>)`L!rqygevF~ zJ^5aNKYo*kW0Z^?Qv+Q|dT$`PlPW(IrW4z);eJ2Fc44~tQgt3$o^xBMMC z=jYH>OxATn8w1+W5OAV!0ZQIgaRrX*40p%`M8fEV6}%bnN)6P(;A-D_DmKABB8#Zv zTv`dY-r*S3d76ph4&r25VGtf3QN%BZPLvFl0^x6ZeNV=kei3;p3#L?bgj`vC!kV(Y ztvaK9w7Q$%Dd}j55198#Ya4>^dP2DC1M|EHSh53#T3Fl21kePWmO}2;Y_JsldumZv zZ3{9~foU1zBvKERYc&0qWeWbUQzb0d2z#*~;llk1)E3!MizEy0Ao3U~{IwA}IZPax z@~d8isoB0kRMyK%(7aLAR#;B~^Pmv2?ZPrpJM5()&`jY4LHf=Lo;*EwxV4Vdh;*K zVQk4dFXwA4rIa=9^S_)~*eu~=8e){ROFt%m9P0l4XU`6)+`t#_ziZU#Exxx7|Flj! zuw0U@;>gxd3v5UaCulJ4KE}Uj2dpcsr|C#hnt#qzO>wG6*a-MZvZiGV?QxcK{aV`M z)y@nrV{gyOm;cyv*Y1mdga z(c*vBu(sNf1-pnmR(vu6pd=a%jlehHS%Lt-)|;>6To;Txi+zfs%R23aFg-5fTjO;2?4`-9?lv!NMFpaNlP{U-drpqYz}Rd8NmVt zB8Nk^6ZxFM<}^(X5#j%H=W_jZ0sv|-e)bw_OZ0_`llNE6Ud?p{{?tvEN_zV_B=CI$1Ji6$Z8f zSuEl8m|~BRawO{caHCDVSAr0^_b;xnN^uc9N!&+0+URM8leA!k@u0Lk>rKhYNh^Nd zrL#NqEPMlMqK{fVBy6~^^!nbPkCU{&TO1SYFk}ofUJ~7gW23+q_g6h!mYbF074(^2 z$$~D$6?a;OJF*^DaI09@vv5vKz0}{~B|K&?w$32|tp^O9g`8ZtYGl%sJ#Ker)2yW0Ho{hqvBKRq1CLEEuU+=7sRF29Es)Fr@41Ml~w)t;9NtJYE1&2cYqHM$^XGHCM)w&E$eGflf z?$qQdYRtQ~EptEgcuUZ?(+{ z+xq;RNUC20~Z)qj^h`64&~YnvAj|ri8DQH?8?*;R^kpU~u<$?$53;%M6jz zv}k?6v(JC>1M*%D^RB0d;z@V6DPCK6c7XO)##x7tu=0g>HYJOk`dXTXA%n4*(v{~w z+3t?(U0OCD5F*ZCLCusd%VOm-1VAh<7RKlTBjPVSnyoX;E3E%_C(xlhr5RcIU^}cw z>=v*om>43H2pP>J-{Jxbt4A>X=)2i;wJ(iD1hL6& z;K+_@TP|aSr^f^}XY}a%vvDx?H)#s)V6bOS*g<_+~nShJD}}9(tG&rg3RQ>HvuN zRT#+lc*XlvBB+Od_23~Hx94KbXIjq>MdN9sy6183qr2jCSS@g-bTwq*!&neP3Rams zUo6UNmO|Q-r~9j6o#fy9pVJ)?Y!wCR*!8T!CsCKPw{?FB{?&aScWcR8@Zp%R)N@C` z6)Yi$=J^dwjq{B&gh47nvSTNCF+uc>AGPCf^2fNFkn;g_fKL<-4iOHW01G2RR(c)v zJdr0mwB(MvEDJt}?V(I8%5yb(tNZ*f+5=8l9Cch_#EY<(S}iyGkk^}7)S(rEiyV)( zI~7qRI*w$0R;80gtS(9M{vCmwz5<^SQ?)(TI)||XdHV0+j|Fg)dDJ?n75tP5ld@aS zP1Ge_JE2dDKRRy{GeRrbL`mS=vh~6DHT@*O`6sBGwL-YgZAe|Zx zHBpmV7-P2q)BJBVw!)bo5Jj;L3dsxTi56H{qB=*58~FctdIz^kzd-$a=i1qru(RD{ z*JNX|CQs93+qOB`lbej4?a4MLTkrn9=lss!@Lbn=*1GYz!=Mmnn^2K~6>RF<+uWr; zynKU71<#YWj4ql7?CKhlDsxr8w@eidvoY3`L z>U2b?vbX|DtDl8Nq9(yN@g^(un=Btb#-LMk!TmcUw`}{FIFuao)r-G+BtkIhhtHXL zxgP(0ZMzl)8e0vh6IwP3k2w*UwS&z@d7;{X@i5n`8bZ}2=<7vA<@oPjWy$>O6jlhz z_PGZ^I3AO@aq8x!qOw{JDwqpEZ9M#5G6zX~Wb!vcNaI5SR4z;F|EKp^?*Tg30xx{y zg8kepM;-MS$z`knbTdt)!PI7DO4VXzWxXyb8FWm>8|qWMK$}Zn)6J%jxnX%*peOud zKUWA6%DfOH<`^g3;vC^^aTA63K_=QV9Ii3s9k%~bdEPCr4kY*n?16}P@;YXf&VLPr z4DUR1MKhUubtw+hPZ1*%yr=L$0}U)fT!+W>|6=bn4yl!8#|TX$ zAaxD&AVB||hq}VqKaoC_g)k z*q_E@^jyy4T|%fYU-Gsc(t+5qAP?E4sH;r?A_u6u2OtN>Cg0(|3?K#OdlB^3BYRBO zVkEd@k`v4UdLL8MsIO0rDoV*D3@Q*70^ZK5mbDgwkifFC#GJ-HcwUg4d3T%U>tPOS zU1@HjnPr%cGU8p2TA0VN8ZMZBz~3Aw1T3@#P?32_LZ@|-Y=noga`CRpZ7TJi@Xstq zWZ>ROOk+Z`&3$P>pz=)^P^Sh087>o-x1z>pBe-P^)2qM@yX=u$)dO!IeIU*Y#N;yJt@SxX?7a!upC%9fMi@Q{>bR30Etpj?pl)Z}j)kXh zBI_1_4$Ht1>*}*L&%jI6hy)f#<5>h}*dW1aA&Uf2A`I}{hBHM9QNEj%Hfm^q#yP_!Y6a94oW?J(m!#cV&OZAo+oB{?7aKu{r>VY;tfhM{yy%3_0WC~4Cv z1&HucbJ)HJKX2R4-0Ae9xTNFD0&|C?lFqXdeUPOo%LB|(U|LqsuBfxRoyt%gBI z0$jQWZBq*5h$>v7VYNu0x%qRX$r-O&oaDv>F{r7Ic*^U1mrIHc48FC0Us!s{s}hKz zF&YURKL?N{@@!ClmhhV?18ulBlSWaZdkkFea;P{|OF}c=YFCT6wy10c$KTK|X1UxD zd1hkbG&s$DF1#qTbo$GG=L8Fu(Fcz+Z%6+b=)!vaMt1HHlbiF1=ORiJoydyv*Ba($ z)kqq#6b{~=n{qE7^t0j`BBP1-HydwCE{MEl3X!DSbs5K-~1?LnptQB<2faH;g91}+VB1P`V!gL zN+Sx?Vfjt%CJmy>w2`$;O*XY0v5R|=#Ze1J%{vqhJ!qP{1N}ZD)M>*I zg)hj%sp>(gI!!O3P4o6U;R?qxf(o?c_7}Lc+pn$02;|WK(v5ZOUp9}vTD>+zt5tz{ z>8ddU+&)iPmbL(8Fij3q6|%J|ENd@S09PPwIHhga>s|^DR-xOwt^|lCfl^UxWb3** zDs+YDeI;?mVtGV~Vb4i+zSg%p!qKzzNxkICf)XDFx(`-a zqTx9fgH~5Hq2#nBCUIuh5cg0wpc+@^@dG9*GiGI*$yg99kPvhcr1xgJ(Z_n!0XNT& z0tjp=m$LHpfz!A+S;1AwG<>VtOsqU^V?pwI#hpO%Y?5xiuJRUnbKrfE%CsPnTnLk~ za3m2^37h`00z9(yfCrl)v!$ht1)4&%q<-@tzmAC9@5Dr}g!v>;CbG|+8 zUUIFcYM{J|WO<`{wZ9;g1xB{N9W?;VK`#+27U=VO>Fp}6X#ZwvHEaJvCSXLR(dbzk zO?KKS#J&jTdiu|WHNk9BT8Dv>o@oH*~ts1^0N)BBQX92mY@t?Om|!lEk3oN#^b z)8-@mkG(dI)YkhIoBhrUpPJW~?vIy7=#aD3RAxOjAO5GkD|6#eqNeiBP6MGQJXXUW zWTU59ZObt{8+5S1C&*~WamylmGf0HH_|)y*0XmGk6_7uH^sxFrE=TbpppY4E!!1S9 z_YPUxqk}<~V0LzkA8FT-$QwIBg|8LE=2Hj}%VI3(H1TL35o!U2ag9TJ-nj;ED)VVu(zLIEWTwz0w9I7dHAIV4e!9nk__hO+C!X z>lzx-daF!TO`|4YFV59nq#VCa@qo@u4^^9I48fTbk#uI%F;Y}nvM={rIr8-%B;9=r z!WVgpX~N(j3E{=PiiA9nL{z;`pcU>2OU5T3)st^EaxUJi(ToV3hPeQH?lbEI;Z640 zT_HoyH?ES=Vs!H=nq4sz<|dl8*rsu|T!&8OBP!`B_M1M(r+6|?U08k+q0fxFw%=}l zCh(1rU`78xz>q196tQzhsjQ=mhGu$0cl$DR$%Gfi&Yv4pC2c-Tv-VLG5bhYR+IPWQ ztqI_t^x93x$q^{}?UuxqrrAq201H z9%jTh@~-p5N*%>&#%Trzt&v3Bb2nIfjs~C~7i|GxGpK^0p~d*=mqN~Xy7}-|q$liN zvRyQ4O!<@ueBF1*(YFX3bxGCfYVT1I*-Q3uX`no@W}~LI9q|2j9AtYE>6c;bRP^wdUa7=@d#zr7LK1mhnm?ys> zvr1ff&r2Q>tc`}1AqY{cVi_-73-`drx*yu>mr$%P=~N}vtyj)9d@kdnD#Q3A_ocuf zFoJYT1w|dz909LTRa+rcP?2LVhZUyFv>5jnz@Ov5sjNu)8ij)4r4g%GjTayJo%ZkF z(HE`inWx=7>Wk^z*q$W2G4RVi_;>TLN}0S60DG8OW=e!12ng_GynVEyQ`-anIV|cJ z9JBw8ViF05;1^>EewL||fmJhE|lZH=mj-!cg1td2ligDo1 zhhAUknhUzKFz@h4rTFRcUk86v8pX3qhp2HKtJGTj`5Rm-Ww0F#eTbUpr0oKJ64bGO zLn=&Ka=u@-T+K4=A_U$DU3g5T6Z@G0wFNM>Q#M^!Z5=m#9!7q>-_n}UO&#ZTdOeJ8 zZ5{P$2#b>4!0`(`K~{{JpY#ujl|M%#^ZZ!a66E^FEfKcT3a9hf0+}2?BVv)VxCRw1 zZs!Vl1@Hb2>+pk6QF>ErxpK+ETvmks*H14DhtcmwGQ2X30DVz-rPsC~$3=*-`I{BL z1-lpv_{x?e_g$zA=QY1J*w-o;Snah8na3enNE=^^pgzW1d@k#o^TIr}-uU}8hCEOC ze%_)<^xau_q52-i%4}&64tF02>nJFDL;;J0ggR3hh4Zj*{NV0K_Xmrrs2Q|444ORg zp`sf!7nG7WA*3g;}9AvsP) z2{9{f(-zazp*KP4e~vFD1+fafqeOphP#bWuZmjXCU6m9$Q}n%Ya3tP#DteWTt!@ap zYFI+}TaSWi3C+e)>^pLcEwDnC(A{}WqNCESw7}$ESe5$$k0f5>dOUpKkBmXO{J>K) zb7g-2pZun)t9#AhM}^Cgd02s)s^kHYh2mOKie!^bIul|2^YMh}Oeg#-j@j*YP;hGn zSw;C!nROA6y=g(i>KGb{wQFpG>1&7!TjuDiXtFBlggrpwf7sY+Ua2(%bE4nKf&up= zi)E$T!?j3s^@1WRY%C^($RJ|%03nP&LBiDAgh%D$SJ##~wU75biOe%GwWYVZKdj=9 z);}nvOq1NN5$}@CS~PT%>+I&v=u2|bO$pcrNUnqW>*B*2k`>H*aq#Ay8gX`Onb%xW z7I$pupA*Uz*DPO}m6Z)meyTvuz7}GFG#KS*)m#}#+<{v72d{vY1r^lw4vqg$%i_pN9P%L`&m;x_v{{TvxR6W8_n>3kb znBXgA;Y`5J}EOhf~;T zzS5p;p5BKN!HjJ!z|?8KhSg8KFV4`r*M+0|=kK#8WIWM4?NH2UFtPxZAKyLsPlXg- z82>N3Nev(t71mw~Yo2>&5#Q1^tYhN5p{@NiqiWHln>CDrZ)OGm^-XsJgCT=RK+kR&8xl9mp9+(rn7?<2M(AhszYtUC;mlv^B(XHdq(#FYDZ z?Sif$n@|PN$SqvNoyR3v|Fv2JJi&0as^5S9{Cas`KgKdw7nkeM{6A6PEyuhv;vQYa zt%)=l?_-XL_kYcaThEw%F|)=Yfz)ucT@A>9Nrmskm%Q>E2Li*j*Qgakq}Ne%N1a8I z7h+fowH=kQ*rtKjCSS?lz}+O>YSn%ol}w@}$@>qz>E*>g>gM5MF)0H-3%Xlh(NGEg z#ky$*WRFd`=dKsTas)R~MK;0a$$Z~MR|)e#$Y6~<9K;CTSOJU3+--FNsh0h*K#aG& zh5p5?3oM!vpAukvemgIAA@FO>r8795*OFN%kDCwZn|s8HW}JW4Ry+)*$AD_-AC`BV zy|gP5^u?$wP<2N^+YTz@0Olvok^b1`5uNl`h6N&#dctDPR>ckh7C3N@3;H`bL^@RO z5vJ07z>5;f+1?*5H2p4L;hfo}?uhyyOde>59%0y=4G7*V8zsrq^OD}~iw7-xJz;aO zrT7-Y-w0@*k=Nrk@;4;APryvYq4_|pSn&WN+;Pv)WXy^l`<%GTCi*#tSEj)6`!Ysy z@)#jgvcWCDT`F% z9G@u!;(7dSoTZzi!noKvqDhUv`4V9oBNlon-ReKCMO!#Xy(AN}d$vMoQC>14K+zs~ zDzsZBrG{?aNLe?5UD|idnaBL35`5H?dKf!PQc|b%9W8{e8bVMWP}OrC!GLYVHNrbo zB8ucz=phU-dK+jN0P+0N&C;TMx!}(nc^?55C62>SW4c4mi6%#?fiYH`wDihb0Z6Rk zis`8Np@H8oDaj^02$jEEse6Ge?v;ko)* zF8D;uwYQn!mIJ9^6BVXx=-aqfXnql$8m8%j3D1+;_Z^J~9gT;!;=L_j(3Uya=>F!I zJI?Hm_2Xa3ys<^AT;_R|w=FcEshU+thK0CD}_K**mCt!?Ut8 z>%q;)=$AJ{+)4Ag=;XPuq0yU$pK}-LeD+ShxXEj4Yr_#uw?6aGV9%#eCU1VEj1x?3 z3!VAKk-*tuh2ja<$&+IkHfdA#%jYI*Gr9ZY?ZR>0WpN)hcEx2}(r5Z#*30?-AJYz4 z?t!{k!8T6r6s2%`lY)3}b*Z=*M8=huUoM0Y7vU+D74iA}#em*zXkYS?j=iHZGp`m? zBG;6wnZIWemkfhflI-4OlfFZ;$OA^*&%969slS0h5?C1-yWWIR^s%}PfnttZrW3d& z=)V4cD-YrX6UyAimK7~D@Tsb2MeO-^W`W|GQZmpMfuY?INSth(aQVUV2TkdNQLoiAgqNUjN3eVoWFzH42mHug?0v~Fqcsvj~kuik4j{t6%fwr^?knjV9c3GGPgX-QNyj$oa&sZM}C9j`>gi=d$Vt^2Xpmt;CPD!*^i(CyikiPmFitT8)RJNLC za_zHB4o)-HC~a5y5Pr~c)tqnkqoPm7oOi(RKgWb@Zshr~484i8uG`}1Es)n4?8+IY zHv|v%hllocLZ#4c)2CSOusa;3oMeaT@iH7a?Aj+G%r+0;?^hB(LSdlgkqbHpdJ z#fr@bB_3)^&0a$<5xLTe?e=et{=Z?(Xl+9RhzJ=yJ$D1y&#ntqn$WN-G38Vx8=qHx zNdGTn4$*Wt5KxZJ!02yw5kfD~k{9jLDDDkNg$52J5!U*M|1jv(-kK08^J|BiX!R^h zV-;$|T)a$2i3pnb4mv1qK_3i!b`Az8svRfe^2A^g4d1b_! z%MU+fbqG#>UMcxYhlAin=?|>u?evx`+~v?aX4A1}uwl@R?fFVyMD|tYy0_f5iM;Hv zjc)xf%@)Y84rSSNfPcd(f!KMF58s)_Z6@$J$=Coe#D zV5q&ai=d$`03U@(;Q|VJW*QtQj~!rx>05+ntc}QT(wz*pVP%o1V6Fc2`sa+PTLBH8 zJNjHSRj4;m)!=lOgfpT-ip9Q`qYK@5D`^&IHF}<4{RD~-5HFvTl9zWrAze+asVW|` zRai3Zzh4~iA_X_Z6>N^)V*nR0AxtM)@ml*CcR`XmJQBZ~GvO(E*>Va0J^9>{Cf0UC zI%%5bKB3MK>-CL5b;97|`rXU?G#{ZT-?6SFN4xz}vA))~(V_k(UR1f|D%En`@z>B@23pg~uk7 zu?{=cS$Fw(y1Luu7Y40zeYu`^%vhVpH39f0LN+848%fFuk2h1+R?~YJz4DjLO8L-% z@GlaK^lwEWk_wJhOg--nzgnbLhw7+cbD|AnO?CgcYKu5=K`$xvM)Kd^s_()C189C{ z$gECk*s8{vn0$ph4CEFcOvrDDKMIk94*vm?Rw|bP%W_TX!#$&U%Tb^2#ER8 z;Xc2}F>92Ps0&PMJusl)3brj<-WbzveRss^B_h>7%C zvtB#A3RHb}qx@maielXsFR(-QhbgU1MwCc;G|!o)xEpKafYU!n!?)v#r750^nbi7t z7^BGNapK9Ce3g#fP9v4fJ?$*#CKyFaC7*kyn60X$Hl@=V*rcEuG<1 zK!1(mNboQ5cSNO`oi|+X9cZ(cYYjj2C_jY##)?f+1$Tq`!}|=V)6^}ND;+*L40_~P zqF40~dMD^n3D(hs{*~Aj{@7kw++i2Ob>1eqqV+ERd>H2m8{?R_q&G~9RVH2C`#r)L z-u#KvC_eHZcD~;?;r*ak_6kQE<)C{WWgUZEuTUFlj{vvHEE|JgH&Oe)Lp4x#?j=u$ zr~Mbq-<)ZU5p(lP3U8(te(T|ij&gg_P7iWSiF|Z~B28%I&M5ttBjMYP=G=n}Z6`xe zlpmo>Xgb_61ZoXSfc&`^yLv!AYGbiWH>myg`sKf*G0ZT&(zoI1Pd{6r2%#A`7cO8C zb^Ke&k4a=MWN6tNPqez9H9ek>OYbfNU=a5HgNk{dnUXo-IsIRU$T*XCt4|jrrh&5i zHKU)@r=QEWL}Bor@Lv+y5jjzSIA*piP`WB!95Z>i2%8R^nNscM@P@=MxESJ067j+r zFdQW|9>Udvuyo+H9!g&$LSm%OyeZ_-`FePtQ(p&@YXazRtMgsJjv(I_Lm_o$p8!i= zh@23@Cj9t0Ef8;Lh3Rg9CLv7>oi1-Y9p}~8vA3>GOX<~m-@}%3yp;!4TUmGbGR*gg z;m;Zz9PD6*Vj_Wk87og4S{7}SKFV+f<96xTcdQt&%M5XWDB8G(El)}NGI#9U;RzyGP9o!U7 zVZ5sxYT8e$&XxW9p>tH+&vU3h^JnW-SH<5!^9RvB+ zL-`*~4|a2cAyenA>O>W(!`5RP%%^w;C!V;0P7NtE4`VsM3tb?$QVqlA0KmnAu39@7oHn#!n7={jBrzW!Kt zSl3@0D*FMib55P^PWjZxizZ9iTUNhBGsN@d9+2S)5lyoACnr*V3-+$P&qWosI=x8# z>sq~`wn!FaL>E~-v^P|}MErF&X`b3dtxRDA1v4jcN};=djgD?`beWK?;e3fZGQ8D0 z9Fn@*2(&7`ko`jfb4P$1V**iMhAo30!c4fWmZjsgvyFcO3aypc+Y+^M8o40hNV4}X zrc3^ss3@Iqe{Q6yn9|@^b^-RgZj#!tr3bAJX#e(0&7Ln_zH@+>s0YYXKBiYKff^r* zEnDR7J~oxeO6*zR?$-~g^!9ZL8N)bB_i6Y|Ff2ouA{cNznKI^(j=iw>cXVYXGdne` zA;Qh?OEuWeZZ+RjI6S)(RtjH|aerRIshDC1=Fw8dNR!(h14=Wmk)sGDK!{TkO@o52 z%$p|!3d_@UUk%SXKHN?vR>(d>uzLqDJ18+_|4ng#ey2P|rhes`M)Hw_?r)Xf`LrJt z)vN!RVs_rBJG&EhBKj@y-f0@2JOdJ1wKmI;h=A6gJ|{LjrBM}hCci?>ihlz_l(p|M zCSv{`G#xvr5~Mw}+cCzT7pWeszS^T+S~9CwB5*cky^5@wE;UJTSsywbeW*JTeO5r9 zJ!a!y)_niKQB(nLqb9*uNzOUIP47*dq}v?szkJIloTNlPJQg1Fk$lnYE|oKv>6Dy) zVIF53Ar)1<0+&H#uUjUfhJU6DP%o2>eZd1!_@{ZBPm^vHJZliQMatm-W^V)%ayD9} zqWj9E#lK|x0v5BZ2>p+a0y+88nnpvA@kcX1+XS~FDnkk> zPY@1sP2RU>xbb}Vn+YBpx~OBba31Je}$8h z0GMcgT<=ZI#Iw+_`F}a#XTjkb`kVP%&``<9FPWdFu|7>aAso7sekjV>8ZTn`gA|Uv z!wf!^P1m<5b;8k)UvX5E8yhYjX%*w8j)RNdX;{XM>q+^1)Nm`36}?tWA$6Q*fyPo zf%kobS;Br6l^FXe$~sb35OUKQa;$&Qe3F%&o;8c1QI9`Rd=FzyvMjI#i& zPZf+Pd4VsvaskgqSliW)9%v;fUgz}YxQ*cVCGuqJ_~LvKxtcmrcxam{Aa*^IGtc#t zP}w4fH+7))DAq3P?7k7}+Z~xCiEG?%`RS?a;V~?f&S=3K1c1V~b&US$Qq@i9U@jr0 z0svoDdpDf&5UGELt?om(*cSF_G#rIgN`zO?CDqxi@>2L%!R1?p-9J zh5*_`Tg`D_Ra7U%nDoCyARs>4N`g|;mtcEPHW-oc8fOJA-S$eZ`xZ&;4FylGI`c*8 zX9YXW)HcY)fR@cF)$Nbj&#ZNqh2GsqR6Urw?s7lu*u5K33<3YmW>@qy3bvZBcwvcY zJ#SRTGBv&A?oy!zFdW3^5)6@V*GKoOd$;Bn2}!9PsJV^WMsC($9eNpA8d zF%S^X9x*I)fEy*%q;sO>6Yxru-J(kb7eug=Bs#z=2_+K(>L9@NH=zr|0R*Leb^?-< zdUq9>$g}$f)vb^dL!cN*7sWf>M=^;@i;+w4%12SUaNPaxG>Ao}vgjB7b&fkT@AbGj zCQK2k4>vz`kr^;XmmV%FxO&3O5b!)P@kKsahf8^JILj$5v(Q~SpbLs&+jq_l4pYj?AK9Ci(@yyL5j`hN0ChQKNNWJ`a#VWOx z(~ITPm*n%CaIEh4Y*n5EwqKCX72DX zT`PzR_a3|8Q_Fid;^A~KtcO3I^mNIT_50Q-dOxiFp+ejnag^z)*PF0rSp@$=+r22% z=Mq*yX8bVSvI?wLcQufQD4rm0fg~7D2V=h27)`t{!@GoPvmAmItvU8O*|0aTFCzM= z(g;WD#Gjv;lyIpM7ULN~&8R_G6+Fw$r0BSI`TM$FpE=Boc@i!jf$igo-&DXFVI+u@ z32i!x15mjYvV|ao@PQkJr08c8FTvWQ1h=gv{aj#A5KQe*i#qB>cE)3DeJ1vf)Gizx zem%$lz*&$rZu#;JEL;wmZE`RC?6}qcQ7^AJ=4M>><-qQ_#hvi}^E`BH7P16VaJH=Y z$bvmztwu@8b9#ABb0`Y=c9v+`2D5%{%B&r2jj~AU`M1>l!qm$5AB+64tEO8wpRv_` zT$Zx0hMUmMSwCIx_X-9cr8%xE>AN9o^iCZ$eaWTQR07_#QI^>_0KV zT|Aw~iuXSU?GAp9r?p&41Fj(nFf~x>g|Vme0W!vDQlODMqCP(M-ex&}_Wc>dN9##lqXz_H=ODJTO<(g>nWj;ZpO5 z&egl%@}jJX$fcnAI?e@7f805aKU{l{=0typSN=Kz2&=-{&EFW~CvH+UI>pzR{E#U$@cCkz{LK+w2-+B8_kTe7hRiC!Wn zl$ME6!fk}pw+N%Rp_b`ZKnG(3v8Kfrb#=rSLq8fERZHlx`3b=;DK=DD+hw50^T@ZH zunk=*MBDUl*X-rWf@6o8#g7>d6lOX9xo}e-Aa!Vrg@2It7?%yhlF>;Tx8wX<2%_y2x1X#dg=>01>iTRS`PR3i z0OB8pAlE|zGMw1upatUsD{&urVqi>R{$ks!N-+Z#& z^$^EXctq-bN$B<(DxOz`lI;t^0FXmLD1LppRivMQx45+0VY{<&oKuZZ3Z?#>$IOg;#-w z*r%}m=A$5ZT4IJ9Zz#%a^gc;X&J!pon!AFTwd&3&KX zAVVT%C*8lrqy0SsABB7DLg3*V5?Vmr`>v8|8>lMKB2#n)^#KDr(v9q_4w$cqt&a*@ z@$|q)BoMGVjUGeMS#RjNKE6g>n`~`_GuEdewET5pQ2Fphl|#|6V!a z`E%dot+bEh;yX-c%|!>FqT^jX^(>cq3M52rz4_rb#PW0=5HuTh)x7&AF_4-sQ2sh; zR}(-n)_-yd&BSvU);Om4MGGvJO&j!saiKBL0bTrGPt+uS4GvlI?BM&~S=9$Ymbyn^ z{KVI+S(d*BG~Q(Q<6pEh(6n7$N5jKF+i_+MR}RNAEKuo;C)*jvD-oo~CWe%(;)rDZ zwGvKSeEj$~8xT)OuHx74M2K~M4E{tE-s^~$?*Twl8@U$sc(@KbrgBFbd<((~J1inI z`FgAvj$fqFoWl?!u)$!!=zGd!&}a*jZ-yuMfpqny0!o7dg~8FB3JQftR-|jfBlMVa zXE?5%S@@CLgr_NP_iH~Rvjx8F#{xsPOA)@zrm_v?+imazI}`PM<;4h+mdXmru159HYm|VoVD$U!V(`?-}z&iV?z0Hl(ELjXZfFA$)H8OaC&+7 zKlcBLe~;s#Ju30*>?jK%odMui<0X)GJahp>4q2qOuY;bb1I0My*(tJ1;^pjcbuc6Y z{tAqMHRr6r6%?A1o&bN;peNm!#66+6=z_cZUiF&foB$%xy zw%C_EK&r&#FBqW_LRE_|f0r&d$qedH_|S|};4iZwx_!(EwFPa=R=VUqz)yu_`%}O$zD|4>B9niCuDynrVg8OY>B|<2GQ^i z>tCn_pG%5DULY|yF!bQP06}7o}hmiubC7=iQ1@1_|agXnhy-u#M?Qr-}beZ!>3aO{@60|&59Fv zu_4`Gv9gz4WL@2`hl*Y4JtU8`Rt z&>e2{62mXAWRen$6sT-mu1CNeLj*kmQ7rr#SPbomWg0)dc19EtEgv=0Gd659i;C9-sv?dQ}TzmAj+Ap~afJ z0&_aT4}X;aDyIb)0`Y$1K-hqxWDR=~s8V7xE^d1Fa`iP{b0-bXWA$5DN~TJh5U9`zcQn9nS5@`R^m> z+M#XlJjfQ-j2{lO&snsmq5cADNeMJ>wO$vd>7_xMS8yMr)jT#=i$jgk@52z}4X4rD zQh>IxYwm7gjhmUv6Uax?tG!PKW#4~Uc>Cvu2($B`>yN8PW2GJ>XI-by@3&C}Ss{z} z+C@h|r$=uy&ew;FlQ~#w*yO(RF-KH2W%#U0wkc~G5y_PDWzH!cI}vxs0^%DRjtih5 z>jKR3p0~|sk^HCU7xFT<92w|3(3kzi555wJh37bGm#4x|?FrhiU83)|R@iK>m&dgS zdX&T0iP<-lmqKqu9dr-?LCxP_L`^=ncemg6A>L33;2@_6-#lfCvQ+bSlsX2}9kq+e z>)oBD0M}nyLK87(g*rhLVPl}=+kh*!I}i5P1KvT5`$BUAz;101z^=E5mO)W~H6@>K zO1{kEA-!N=sobVh1zO@}0ROxA9V`N7HNAB?rZe_{-v%rk5;Zik?$~wDGGT1Q{tpU3 zn$3#BVStYT>E;g$V44jw1CcgA9|cxQHj~79;sfO-nlpswfb}t*zB5jl&MdMe^k7^t zDhffWV5Dcz`44bOm9NDX`lJ^J(6E(gm%6Q) zawUoKs0#jA9jRBn#k0=U{n3iJ%Uk4{KeepyTL%=*L@~!nmM|Qlxr|;V*a8rs+$-$m zwlm;AUMU*sWVAFn-XXx=NkC}L5ugO6->Iyk# zH4YdRo@2m9SsRK}9dC1FzIXxZXDZpYex;pmpo`zDqC-f`9BH^YMn7c-c) z$?(QE%(_!e%ha%TMnOCB=(k9ZGlcFxqohKE1!JZWR%Z-(I&fhe&n~CTo&M4`eW^;c zrUIR$jygssJr@t~tsCMjBTj+a*+Xlk%E?>s18AwceH60t4SlPSRPqB`x#KudfV<6L zvG(NU)Xucy>XJoHUGBGW_m_^-`=iI-FF-7c3RHDNv&Zurq3s|za}*G{M64&0{|*5d z{4al9?O#ojLB!C07<#uB3-7x+k*jluZ_A3qHL>*ohXB#9XnDUe)|J1R1hk?b^9@fU1T^b2kODBVsnK^TymSv_v!C`<$WA|h|IVRh z%KYt8sHVnG9>f(u#biIt@S~ug|7;+^p@UUue0z8htOqPh`ZY?kGBR_$=i(TS+=1aa z{UEz(DTgALu0b!F7C!G3Z&*fv{2N{~IG?r*o1pQf1SO1Z#8Lo=Eb-n@HPQ>AFT#qv zVzM&~>DDi&;k~SuNgGyD%Tsrm3XBh7e1j${Z-|GS8s?&XOFX=p0&JD#w z-t4y*AddP4dlZ)6Q!77u>3OATW*4^Pp%a8eGrJm}e|IFS-7aq4b%sw0XPIt#S)%m^ zS|L)77QpT~fr(fUrj43BrO?}u#N0@HN6sZp?VC9+E#qH@;KHs9clr%6Ll5%EbgedU zsiJ9dGyFBhy(wdR>A4;@Eq?oxxCa{W`zs+uF-rH7WALwP2_x&)w%P)HBHH6R_m|wS z*u=18h>?Gx3CusvA6n6SKq9b9h(uSrROmRgoDXmteHy@gUe$onFG&7sRpA~NqZD_* z-r2UK4ZnNuL9O~p8>_eqCH}e?Ozp+5qOulfz)&9@yf*beDcxEUfu0UX%&w=;V|&5B zC+fE_IzY_vbJfW3NwW)FbgX2nRP!n9G*>uRXV;22xp z`?Jy_j$p|<2}F+*5`btpS?T8xHUO$q|I!PMj7&V?#doyH0&R@E?}C8%TGHGQiP^^U z^ZJYAk6LB?!%u>COHS<9fytC>))|sP!{~wc5yyOF^$Eb zK?#61Xg6Fd!#(WJjDD*zl6eVUbSj)5c(FfAefu~P3jbw05@AwciG9A&`BM9j1=6G* zzd2*Fholwx+|*ZV{N7I0S2MT~HHy`>w6vb{1OKt=HqvR5IWf6X7HMOfuR088usWcj zV3x|k!rHa&<2~)O`ejr^zCAuKcC!o-J1LxKvvWfx4%Pq0YMZ>MBdnqRU!@KSK@b@) z@?w6DDs-Nci%4YrlB72UJS=8iZa+KFnCRT4660t9g#Y;7ff_`5fpi*-2GtNz&1b=P zO@t;UfN@N^gls?=;q5vdM9dH6N-R+@J%(OW3*bFvl2H9_rP{=0O86p4)2Dz;Ly;G9 z-LVj4N7ey23?YNILSR)Rj_P%aH^{Fp9#e$90U*wf)j95|MtssFx=;3r^!NnT<6t|o zY=j19=*k{ST#RM~+^}eacGsn8HS7mFuuNE4L8y?(hP7=pL&X zshm$A>iCz+0QrHz3Re15TVY5=Nta8r9YFxGj?x^K4eUkb%%-jzmiYcDKL%OtNOp}1 zV@zJtM~F;>gRwpGt!>5x8oI}_XJx#VAj8g*E35#H$&)w=KBJlkV8&pAx!~`jB^#dV z3~SN)i~t2vj2-Qk*WWIx?R)z4$^wVEHdkA4gbWtz^n*o^HjgA;?_EMVb5zAQkxtas zh}w9vLF%}G;j5JgCWCmtKK`tV1NRa7xB z=r)sz_lQavh#4GdLLoajXAw?ZL8_7$-dl7?Osu}NQm292v2uwHB98ztiwSvN%sfmQ zFOd)*GRElr;pnsZ@lCJfuN4ALFH{D;j~v>w5oJ)9X%Qn%!lJDX741c4<(35-bkq_7 zjy9ci74LRHL6m+ZGMc8mlU{KLf2s68-F8JG;Gw6dnZq7bIgz*A_fCiM2QUu@Hm|6hhBrw-{0K6i&6ODm~~RZGd>o%xHDf zj`Z-96i28Cm^ew)0oC4Is+6w%EkT&= zX5mcXLaOG2$x!LGKM8b79O`CPF->65ahy!~3zy*w0va)I)o_PL>T8;7D5*QT@T2jH zs?)>k&D50pn()yS$g8gF+bjg>1iF5rmMavThK%$K!69aRN@!iM)$R0b>f|f8gHGaE zvk&@jSf>0G3Fv!nW0W)kS*{rtytU63aO3LuTCs!j2?3o{fn)-9wnVAz)BgjKu>B^! z?0iSX+U#2A^1e6{b@cEz*Pa_?u~)Qth}<9$QzcUTr06t%x$!aRN9UOp@)Hz(m+@(l zl=auzEwm^XFS95a?W;JQ;=Y~jbh&`2aq*hMThu060sgN*pZQibNkl7e4lzo9(Gl`s zoZs*S@E5{dTN0j#cf^voMnasR^*2A6I3Yju=6!uxteN@In z-l^ym2$bRPs1oXnPFX{NS2`iB>=pbu*hX9|x! z`!mZ2J7;L_B7MWY(lxj6PvweTHQtcW5T1^5g{wQ(;HCbRuq90>@xV7sXY&bptB9@r z0Djn=NSTXE;c`T-;Z&FhdA-fA9z)ifiO-{7GAbS8Qj=j=M77oK+heA<&pU^N7J4?s8^B_b0;3&=ZPRj1ftrn7Ppv6G-wd}B9u?loj2%}6az zMywF=B+RWKQ1t8mE%6*i)+Gabni@M2hDspya*^N=2B~HrTcC7DF1e&rLfF^2+5-*( zEGO7}vf8ccZAM1}jV-5JMEOAUk|9WPjfG~JG#=YJiqZAnCF!aoTSiZ36w7MC!9T7I zF_)D$oV}7xO!$$l+_a7!+~)ctjW?HEIH?$PF{+8U-- z69p# z4(UCp2QGb&>(iVGtBu_ISI*x)2%%HR4wN8>LyXe1AsYy7DAB{oToDibR?Ecu+6a+( z6r-F3z+Q>@)me#%clf>lFnlB`WgpK698Zf`#zs$82yLrNsyu{2yOs;BA!i@A80R5s zi@y*O8P^*5ETu?;={);{+DD5p3-09=Uz5ayAB>yko-r$~Li|w8y?Jfu@VQ~oSyp8= zA4b=~?7bkvAM$SWH9sei@1+FCD~t3Y^0XCnDhXfDUtOO?@Q4%oVwhNgck9qRyjHYrrUOgWgfx$o>>>PpVTXcC?eO8sJ0PvH9Kt-)Rkd}zY!Gs5F^J42o@ z?J!!to0zFz8`T(E!U|b#_(gsj)n?x%g&Sfm=)~+DHpN|0a+V>rEbb?KH?PiiKNM(4 z^mO@8;N`4gE;e?3J@(7Avu>NS^?$b>&TcYr3$q>@dmv;5hKe@V{o5orx7|iIzfqjv zHcB(U4h3Koqd>|2a-4H2`9H8s_7mn!x!>+!%r)df#Fx^3>GyuzgbO4z>507A2WFSW&a{^`k_0_g(8$i`0J}G|27{%X)m3DYEeP|vsy6T>);moHL;NCu0~*;`nt2u)(Ju7eOcE#Sv$c!)wV z8B>Wu*_BmB+P&dmN#=Hgw^`-HV0~L=E7Upg^k@{)0WL%fxROj%_=rsDG9p}DbP@tH z*vb8Z;Yt}`!OSPtn(eni>D?Qc#t@J8P@fo~+lTQ*g}IrYELPPigV2%v8}Ok!KmBr; z{qM)ltnL~9D_dSS{w!8)J#tB%pqoTdh?A@4O>?w&(sV|F)#97iWW1iKiQ5T?>-aDY z2twF0!Gxv6-(6Rwv!Awr_xqy(o6%cjvOU2jC^x)gBkDno8Qflq2W&@}CF6 zl_;VxSB#=y{%EQi*9bE3yj{(r3qtsnf#Or<{c(h36J_TVm2ty6s_y4Ji14`6zQ(3p(4RMhQup$LMph&rhesOt{AhPljtyqnnC3apW+ z!>Y`}!R;^;=H`DGjqf)~9<%ytJ0vw=sGTX7MF`+NLf~{eW%mCTFwCWc>TQxlK_E@I zMt-5qG)z-=f@lo^kO*f^QI72oF0G}xk?JFM%KWz(E-5o^JyNlY_Jj0JSc6@ z2P85*qFz2DA#rJ@1vVPCjG~`QkU7;@#w}*PY4kBnLD~WLS^ z5-GYal!7PX1y~mzO<}P1{{YY$m76~IpxOklr5$IB{I|VF>BgHt)HdBzHiSfJC+ruL z-04@;Uoc`8g?tSXWnxKt?UJe&Zrv3dkD}Lo=P@u<%uNUnz+tF2z94MY>tyg4u_XQM z*Elyl%fjJ~;jwvU!-i>Iq%?Vdw}Gm`cju(E`dkai=uE? zFPXb8!JMA3A_k7=s;NWk&}s6|R5z;H5%?beF|e21=~KUtxa0E)9dVRt#Zvu}-|j0? zI28@YlTa2tC&Uo5y=wVQVh(KJ44v>*j`fztO9to|d~vwgiY_U{8Yl=4?m^W2Yat|T zHsH{l0Z&x@VW{}p0Qv44djz>a`FqR^Bx1&ZE$ZHOEd3jg^~+983O~NTF83z?c$iAE ze83^vcLpcBP%5-^Rep?Ld*~|Y7G-%oq@bDK=tqeJF&caG2Z0^D93*1Yp%Z}ygD>;! zbhf~avG;bHB3IqlUjsXC64lrvsClmm_Qm;pw;=sQy392d$Ssglsu%G7BCtmmvbKHLF?v{Eb@YCWvo`>hCGh(3mXXrGFp|KyARqR$aW0C5aNH zr~`x*Ic*~{HrGg1Pyp6|&sYDEN_9keL3hDCx-*h%2}bFk9pGdKBru5tBF8wc@IuTL zCprudm3VB`LWYYhe=0P?Y-ym!B`u_4Y@l<;=?P~%mHt^Z_I*~R(5dC!RM}; zeHuBFece+3VGOz17;b_=PD%r&ROi2+)+ z2cDx0hzm$fX@;?XT5&|et)#%H4FqNTStO7Ey0fqs4M_4L+{U zk>wQ@q>}3v!5x`^;uPw5&!YDU6x)^*0i>rN+!GE4o{~?!fAm)tIMxq^R2o)8eHb)4 zk)I?9Xc@PXcFVpU&~T^XElTe6Ng%}9PG*f6wP$q40lK9`Vhp0kRb;&!I29`lU>NPj zC7#9ih91!Fz_}19(H4!dK8J712v2U4Y10`~`_$_+nA+4gJ`XELULT zY3ptJAI#A_(MFq1XKdZ9$)i`tW(YH{fagKfd*n%3LcrKU*WNwP0RK6`CL@Sz8iy*w z@6}olvuJqHwu7l}p0{#i`k-oppSKb}Wx#%?;c?n(;y`eeYx`GL$F_J?>@mMj(le_( z84_;CWDKK1AdNe#ey$3(B5HUgY@Pn>jPAA4Hgp!Igg`;o-?a6}cp_m}mSPfq1^^!< zLu&=Ksx0KINc6zKkK%9ZQ?PF#I;_7t$7lS53nHC=JxZYZmvl5;iVti}2; z)RHqY5Ik(wPZZx`OCAc@YJbx)nL@x^IY3r~dXhAi+bx2Lr<4U6F$yET-r*ir53WL6 zQP4Iv3>G-iIsVybPRE0p=qmKy$=Jq)L3D_(u0%n<=r1PHJ>+}jYouCk6N(oaZ7g80Wd#cTT1 zr^{{P;(vHV>%VAB9TLM_hWwYmp@lq=h)dS>>!jQb!zt3Hr$;==b4Ofn z)ivi2Zfp)!#-cJhtR+Bd=d|-mP#vcyP(tA6dGr`EK&S&Harpha`>Z?bzy=Uy#{VOp zGTjp3Zx?`<33gp4l|=L`zS?R}>pR?^SnQfGma~X7PQ&?ThV(Q4%EB=%Cj&H46Kd$M zhyDO1lMRvX!?XB;;mm$YlwXz~mq}ER_TlhhN#k%b(z7h1&?aZn3@e?<<#DXtS5Ae> zVvFcJ+;tla%FFoh?U(5l|2BDRna9_>+wH{Ex#i|6U8OxF1Tv|FZwTmW4gfMDve(;t z2;1L^X&T#b)yL9OW{Lv|xz23`h>RoYYlKXktDYKm6hiB!t@vMa^Hu$&U{dVyi4WS3(>J%o6lzi>9a%MRm|S@t@lsuI3WoeS;PSkm z6&FYH8Q0p}jieG^2G;{c0LO)9LpIwsn)Suki4Oxl4D3bNVM9FKr(_5y;T$%xUCuJe z8rH+)*#!#@(9MI|9YV-K2A9If;=lb6_YVAFDn}y&eRZ8wiRp6?X}B)$XHz%&xl^{) zJbl?Zcey(F=C%)#=K*hL!i@)03CsxrI}5l=P%1(Lv5K&A%7oZ-tHIE+eRd$u0E2na zSwI3OrhyO%bA(T2+O)Ssv#4QNkUgHk;6PnBD1BBv&$fnwqa541* z_27lJaM6g5)hgu?`tKYCvv;ud^%gs?<6O8g47tL11QWh6MiZMHzSg;-15|GL(N3t$ z;mx?)>?`Tml;w(6X8_!&Fw$w}b*`EKtEHvJ4PYk1Q(XG>@I0H#J*>=%Y1zYCC4To`U>`RD`@vsl#!yJ@f49k9|Ln2!3{HqV zx9r~lGC;Il%`-ph+aAT1AR&wQX}ichKV!o_eN2@ z>pq+)+;uuz2KSx8q?eOu*&Law?yWxAz0RzmN8Jt^hJDBgoaE%+@tp7(z}>V^V3ky1|QF?@A@lxu$2?eejQo zV(sS1ShNM`=ya;{5<^TmyA^F!UWM*$m6J=gOMhs(e=82vnbLMtlg#@;&ZHbNCWuom zEVvZ*#4_k(w@VqXUxPVs%-o+mAOmy%49B>?-EplM)=-a&J^v!Y?+bkGcY!S-M{DrD zP?3W|8q>)o!vUKf!koT;Ho!UUfWV|#-lnlnec!m`$2`Jel_2D6tkm3zFpWW*1Y6nw zw1nv+%Zpc-hty=k-~{lQ#@0C?nd~tnNT-H2Jyb=Kb* zWrh@`RhB+^o|YI}5JoF7285~m|DI}vSSoQO!;yQ?xEf(5Y`@Lh*A$6&73HwCM2n|) zjdjkn@~0iPk330XtEV-Ki|f1_vfO=}(ARW4=dzP64s<{KmInI3!5ekiDU>Wp1J$zo z#|(E(hBmy%cg_!wPN@<{wO|qAiLXnxz|?3WQ(&_!pdK*CQ!6>lfq78|6P_wk&GD3W z7d>xUy7zv;ilJ`KJNznF>%IvS5kAR>PNOpSw+gJ@Io^ReD2rm+?U#ktbD!>g9+oU9 z^i|6q;xMjfFPtuLjQ{yW-lxrIP))~4MKVV|r)3P8X{oql6m7qC+UqiaJ^bnJ$@}W* zyzA}K;RP*zv;b_es`F8^{eDgw2bc0Zx%<5k4q|N@TP@GF)aRDUhsD?*9C6cWSx3qG zs~5=|i1gidKYo0CbVh68#B=-JPqpOS^1N#icBCity#Doe$k~0eMBALZb{nSF(Kj$8 zb0eUjKKq~Crt|K%O1+^?=Yy(CRX*)sMnA~^iCnh!e*_=zZMxPJzh1dHlg99ecbr?& zW6hFcOMLNzup;W;Z&L82n6(r86EIg}4A9LLu+p>8563i5ebSEXV}okK`_keyn>Tkk z?{vv!XG$sSUN&3y4BGQvq#tLAx(T;kqD5J(YBoo%AhA<|28RRk>(z{}0@RBYlB{JI zjz)y26%Qbl$&<~B;+^Vj0I;n+n@pNp9Ta$!VYnP}Aq_mIM5`Ui9wI&Yg6)^D%MoQQ zt!Kgu!#Rl{9#IM<^Py||f#)$g1xqjf?$r=Hs#e!aumT1DAd>mq&usNY`HS+_;+iML zeUdZ6FaUuT^msTR_n7J>Mc>P}CRO9_U)lFk;5tR{Za8fPkMjF4^}d z*_EfX@hs+Z4ttVBBQNY&`wbb+{$liQ6Y}uXar=x1vBe&+;3m)bS)dK!&^1l%RI4v6nY&tjX0e@EY zKIT}EuIggcRXYGWh+KYbph;|DbLB$HU9S@eI4=Di|!6O2=<~zL76`jnwj8%Xx%TWHeZT~GPMlu z2P#P~t6y9-;v|eIezsY9O6Of%BgcOf_8qlM-NnP&hBS?v03xN1%F z?n3oqzQ5Lo31jz5S&|KmjDI>K7UePQMUJ+mvuw-d7P3L)lC{v=RGxHC;j&Eu<3JTl zB`oU%kZROQ#-8n;(*;@M+!EN5Sbs$UudM^G-TJRHCgYXq_NVeWdEjz^w*Zx6?7*_{ z3DDqWyHf(5B5Mb3_AH(^&&Qr$!wF~-l*Cni-JD6+=nxA|H`+2-*xmj88n;kGfb-pa z-$es9alw+ln57#;i-S)tHkqTHS?1%2iI^Xje_C(D@1oWkf3BJcC)RvVoBL(N$oCxS zs0^pGO2?F@y38Zk0-NwdT?`@wOe$%=Ov^S*8+9AUeKlsk9D{8JuZyNcM#-Rc*x&$E zYGHKKGJz>pA;BO}9+fW7DdVNY{==-^(D`V1pj7Dn%$AFpM>3$$Q1O{bDNs7cN!O&l0i$dEh{y@1mR!OixhuXFK3rO^Dbzbg zBKF5v9wyM`^llLcwye4a>8>>^3PWB0|T!&jGhocA_B6|O03zmws zHz`D(hQ9qTx=^(+O&4KPV6$HriqCbf+>^%xOKeLG&|fS1b~X3-rUxh1*`hrqo;E#f z>|)_wb?Amk@QHlx^NCvRG1?vsiQd#ldBD9tSF=A-=_#PULW1i}6%u%!G3vsaAX zdeuC8ePbNyhNsSl0tRS%MVzsqM2Jr6U<`Q8*T~%wM0D<>RXRNnw`xDu*OGm(U>(HY z7!w|)^PzO*v}?7191=S?-)QOfXDr+U7V{cRVc__S^$RzgFHA3lpWdqoE-A!;MeDn( z0&|3bBo?y?<`|3tD&%Rf-RGHY)d)d*m_s2uPOpTp3d3yg=4=3Cs39V%lro7h1cxfK zS`tkBnr~}v0zTM=+zJ@?^v$Ri$+{TWQXg<*@xUha{Ungdxbv{kh*l=9)`{d1Cb5p0 zl7O`xW9%mpMtH2;rH1Fqk9|z-#TUL6f8RVV4#eT;mbSuigVblOb;VkasB$M_{fBGJ zassaPR|`UVfr{%5#__KO^DocvJ zT?izoukEh|Y;^lJGvW?!|39If#}tTk69in_2NVIT`|4^k1wjBh^de?*O2Qo+b_E!l zO_r!aCzcawV(DF%Ez8pN?vZqYT|Ts4>l%t01x8ChU`tdhz6W8( z26BHmFhpUa6~$*QhA7L(NWJ3&(g~qWTl!W?8fogrO}-COMt+}YEXOiVtZde9R`}Yc zvA0?rCT1dlR11}jkL|df0Ym_ClBQ=Fh(d^FGD6(JpqZ8v1kDSlbGoB|DF~{ z3@trht>oEbjnA>so&%o;dY^*>*LSOby$?X?tJ^Pm-ZHmd2xt?NXSb>|aw%rj(Zj?Q8lT4|Q#5`}IiP z9t~H}MI1o!VfU_+C`Af~8EEG~_ejLKXk$9rOt9i>q`>+#B5K2=v|FktOj}~|3QB$} z=ORy??p*NF-JGT;Z?1aoOqr`vEUL1tuV>$hzD@P}nEvFw-&%?{CypBh^xvZQTio}H z#>E@1808teD72 zQJ`})6p#+|vixe_z2;7>;ue`N6B=F4-y~~?SDbe1GTlcG=g)QF(sB8gE$}uV2V@hy zT$3lnRXsJK2Ex@PkAi)K88+fw`6+a~~45L3_zb?~58zCh1t z9lJu&sxA{}H#jOY>eurlP1T4Aqs{{ip}2QS^XWL)d}5HoD(^{H7PuclIn$r`%b1YL zw`q3U#8-cY4e*-#QNNJOM<>%1ZEm#Mm07_N?df$cMW?voL--}RY^XqkK(^#?Nw!i` z0#d&p-bwovsURP5Xa^*Qsz`*|gS2mahkE5{d7;Qh3bL;OJZ_J4mZT5JHVcjRh+;~U zoe-?}6i;JJO`}?B<7RZ{fcB?Ev+2K34X#XRI7I{ZNKuTnD(kzGLE?9g9Vga*aIn=s zY;AuCho81Vr|?J-VMtK#$u&1+csy`VcxnIe^$9J=es%oB2`tK$t36$SJTTTS_H3&o zHAMyqVE4CMxASFMcP&vZz^yb%sc{O>mlTI$mTAR;+sxG$Y%*&abJG_Cmi*`#w-u$$ zO7(i&*6=}kQy_5Ar%(p&wW2xdTcTcO6u!|-ztasl9RbT(Tlf!wD>xj6mDgG6ELA!y zleGvO873Tof7kIYo9G|AwU1NPaiQ>1VnHVlNkK^=Sc>wv7IVI$FkEuvnHOa+d(8m1cMyEO2jm4Ip}cx1|p;GmHD|!XlgX z`ynm<{9$HB7>`X|`&ym$Zptt?Y@8Ow(lPpW4miS}al79B#VbO12b=Z4>vG9o6b9hb|Qk?A*w`P&8MI`UT#`{9*omwyQPeoVOOnm#HA6X7te<6kq+ef&~v z#!#=6-U!_(ySQ+Z!Vn?cb`(Wr#Ix8t#+sFJJ!a0}9hjpxB6CcFgLH zm0J$xWY;k;t@65b6op*J{0*iwk;h;V`D^ySJ6J{r?)D&&*VG-I`wK=ANw?(V%`m=n zTMq7)1#-(n}VRKW%NTgtHb|dwmB*T@SK%_J3J=fT&ZCKY#w_zT{-X@#a<+F2IgZwEL6vV0T0j9rb@1RU{H#V;cA6UG zNxO>J?up!MuIz z2@PW!Srbp4kvqpd4~BGBW`wvy(smq+W$nnTpwzf9<}zo0y&v&zTejV`+>X&+Jg(a` zN8)kHtyQ+Rrg}tINT%JV5vOz7IJ?0lGTO9?60em43PR~!zeU*Ej9Z;>7l_P=|L0`i z%>WFuE{B-|G3;2dnx+nuH8?g5Xg#{8RyYp@`^=i)fMh$qeRh^YL&|Bow)5}_!kQNc zAkc14w97!t)Ag}fWAt|1+>)Bn{1m?2H(_aYo~J0)r>@-FVY?&!7+2c)13 z`Ukc;ea#ZBbjo|KxI;Z@fEEuxb5x4$AvWwZ7#|I!VkrjTddX3&RWsn$e^!|88PP?> z@45!(I$DA)ACiOtkVze>E-REUhF^Dod7NzU*~+aC+-R-T#LvDn6}np?ubfEJm2=GR zVBkQcTQ}_zk)>0|DQO&Q9<tu{%5g)v!kZ z2kgX^^OZ2o^hj2Ls2k3fXYF7n$IH{v*TUc^P%r1eakuppBX{mALP?lp1NWtLUM{WS z*ei|hTN|ROnMbuh-0ynX9L^=za(*QY`1yPCKxQp1M?GcO^U~k^M2H|Di%R}Xs1OG+ zN>iA3JEoXoW}rI?XgYoF=o3fpixO+HO0O9nyWwH1BCV!sw{Df?#Y|4e~1>nWrU2_$5kB@LA8c!Z`$$i0I~~C8!cs!EXGu+>)aiDqAeBa~{fG@9*?NOu@@R`Y})>WX@37 z0M-_1+f7qYOek8WCoAEHY(5#|dr5Jdjh#n;!+h)-)G`c3APSj?9R+UK)YZ^4#ztZ` z#`-VopFL6Nzpurqe;)aZ2wB5!jwsFvZ!s`1j4~7^v@fSDHINS2b*s=XNXwgl-Z;G% zz4R*1X0+O;G3c8N5+0vP{kh^WG#RY3FfXy}$z;w^^!u#GsL_S3Tb#Ss<-g)^_`W&y zef`p>ksaCWT8z%*Tz_Y2ay2c!#et`(*^luTRB297^|)c?S+UGNybUKxt|ntKD$rQi z?%0hVWL8rnai)htl3%CU>%jR%)eSoVGzr%XG%0qSU#?D{Avjt<$XntcOuvSg!-rPr zMWEG~Vfy)eHbmmHc->{rQpw)pw&r06ONdUpu0JsZ!Wp5rbTsBML^1_#Hmf;%&$MMa zQ-pin~2|Kh|fb3aOc&93Nw=C8Rk2Cz5Cg5G%%hE8U_N zITE4V9oKzi8Fr;jF66A*-4_3!?EGJ|kZX`Vr-bQG4FR{`*pO0Mb=QjM{-dsqMVqy$ zC8eNY46`kfWgkaMKtLZBnG7W9?zza29InToh`NNl7Z{}h;sabG@Ty~3l0s~fHNkgI zy^FaGI%5yH$2N0RTG{aZIVZJsVUM5I+Dvye!;mWbW}p3LK}u`UiN0xfz9LM5 z7gnw8RcY2b!}v+VW#eOM>E6p!91}KsN7yN0`4I<}X6-!rM`dDixWW-}QSP~NE%d?2 zDOdnaOO-)m;b>`&GGVPm;RZs z534oB-RhRvIHI?jJBCr0hIZR*{R1-en0n>DiF{wuMI^OINof=MMzcC8Ksx1U=LXSWlfwQc^tSWu2)(0=Hv(3i&yiau7%HSzE|8uqCbwV0^!QNEINW>iOPK=Iy_JlCB>m*i zvF#m_NB77ZxQq(SD%#CEs`0%kJ%kGb4U`4b&$5tKS|(l3{`a+dG0j)Z_^=7ta{98U z_mZ{a&P$7Hg$NH#3o;$4S~~90!Pjz=xiKi0#X}S((6j}ACd^by> zDkT@7)ra)BC9EXGGxCr+0&IkC=lT4ojiL{wVqUlNjlcBeA z%N@3i*oBj|9FClpW?V4!)t9()6d+e6I?^)`-YWBVepy(3SDMhB`B+yzdKdACCE+G# zqp>C6cWx_DuA+xZn4|qPES zE$~^3b9nZ0;JeYg51-)(D@d-#+s(YOkRzTk$+<2$RwNg$M^$~*JuD0CMny2~D@dA)bh%f)?B!<8!pDD-rO(ttcUp664w^Zc2X#kS5xj|MDJOeu)@F~*@rBwW zo~F96gxtrH+b6A2CN*bumoswXXmWgUEU=b7UAlCyZ+<>DujfY#n17E}n`nmcl69O@ zC(#8Ks=X%D*b#}fyS+PgJT4j;hoXPbM4JEmbxUdy-M`q#ghhj+zLqa7Uys_;LyRangaQ zw1(O~JyZ4Uq7aef&Y(51ri70`HepT3R|N(cv#7YfZ4X=&)0oZE9*GLL@fk)esSMd8 z*!W7){9oDsu;6>3${$;U?LGrfh85*O~geC89>rB5=4{VQ11cI_eJITOY2q zES-iQrgTx`)!;>b3dxc-u9b;#padRDJ-&fi=)731ckkraJF_H0FnUd?g|SoNE#oM$ zqJJN8`!v}d!SWJL`?f^r2Gx?;s$Su$XaUD(Jm=n_klOZL&JBaoX)nxOQohtFxp9~h3rqW)CCl;jyH9|bKHr=@L1x&*c26T;XevY- z_aQOsZZ4#dX2NJnssryBpMupG963JZg?^CA1UJz=EJ~dX+dDN0CxHjDR}we}41Jo~ zr#R)AqxGz*u8s*@k`HH~I|kfh196)!>@NczsxI2^WheX~2EBbn(5dn2G)eju+enQ) z4c~9=goO!fM-}YmH?%_@L9~NOtkg;$%q>&f6$=RX_uZZT$Nnb7;Wjke!VWj?vDq0t z5^2(5-}P3XD&1A1>eU5TaZmq_y`bfY!GP(idnF0r?piR}*w{JS)%&o_R=G#`@l8?f?`DqoPxhFpK#I z<>y(p5&e{)A9f!>WvP+P9og#vdma{qja9FEfoU%(G{GAygyByJ`Pav3Up4f>K16#Q zf!<{V;mmPoeGz>L_B^m)3GUm+C4UC5u!&P6dS&vKAyxUe)t$VBm2mj10-uQuUL+A4 zJ%jMEv?@x^Qm6Wref7wdB4d|-WfGgXTVugFQE%n+h%i4X)-p&_tW{bJb~@J_#1DGR z=^5M;2=(>3%Ai$=?#N=a8RwE?;WgxAefd{@Ev}n+Oy!Z);LJB>2ta1l*V@sH(KP1; zZ--7ESCuzV2T`0W$n}x3{m@OcoyIy4RguHvXDcwNg*hQq0t>W^e`-&e(#Dm)FEzX` zZ^?Jp+VHMA@B0*BI!>938HRf-?S88BI#osEDrqwR6hkCf5A za6R|i!e6OZl8n1I$u=MKZ?FDWbz|zCV0x$lVqcv`6Z1wC6qg=e6F_1xtWA3c%<|^Z_)7Je|_fs(nL8{SH-NzEtL(y5EBr);hQR z=1?sH6XZ7z`*6DueZl-F+j=%gsXhN`U~%eQ#NW0zU0HmIWymY@ChN|?v-9UE^N-<9 z29q}185x{QQJjvt7CaLawa@^z->haPP`8d4mQfR@+`+2>6ztd|+Ox;|tjys;nm`>0)WB*+>Zdf%EfvU z+))wNBr-R6F#htP&||}Ka`W*Wb{C-S2PA!o13>=+Fa#GchQGr~!F``kn`c_31knn+ zS99FA8c?z{t$NG{1)-FvgGAsS-!3tLBeBpV^psa zQQ?rI#gI|Jz?e~*b%K%-1iDsNK~%-J`)H%(RD7}V2!hMFBKcqG)~m=;0z zkQo@KtWr+k`TAAs)V?XxGJA*bzyhg&EqOyYw;``33`o6f_nsF6@n<11HZm>eO-WJs zDZvG-LM4XJD;%aQNL5VMg540FCVk?g5rF8j$n<4XVW#o*&o@_9S}45NSQ%!N&W5Eb zGj{x%6-v62t{aBC(*`jsWlM&=s=%-Fi}j}=00{6o&GM6bY2(9Lj0ezL){h^+&?yllQ3brY6rbpwfsu2pwYZ7t)%0(Z) z9V&Vy>=eP+KL8f4)X?7bkbTLrE=<9npsEu^Olx4x4!N={Dq^kTLuI<@G&kG8$%sDb zC!)j(Bv5Sg9)@`5*ao4GU7d(vuV2=2JLjC?9LKVHA%SiHl}c-frk02wr<_-r2_3wr zk=<*3si`y0j77GIzPo)IlPk1$y*Wq;nJwd^|Gm>c;`LF zOfoZL`%Z_J1f3K)N89q)qP&>RzIv!~5EP46#?Woh7%pwQg(;u+?2FJ!AF%vutwOwm zC8<`WM*Xz@vCV+Y;9r=#nv>)Pu&|a%R&-QL2EGczOR80MD7R>c5e@61o5NN%>+)9X zW#uL`94lSExGCP0rXaMiVX*)6M!0c9ELY8Mw5%H!F7)jE<%Y>Ep~%U90!usG4idPF zy4J^X=aeOH3D8RT6*mLfUA{_?&es+BW!QJ`8AP}q!0|kPW zQkU^XBL4!@(C;Qq(Gcyg9D(;vV5A(wXpgmCP?lfYF`W+)7lw~L-xAs&nF15sC7)kI+F%RLd=5a**+l_*$`{?!9J4*r(i1 zbrKR4?Y3itd}mh|yTL!hnA00xKl#Ki-N!}VpdEN5LMTX7&1mq3%iCZD;iFaMI8;_m zT90EgxsK|S$_NcbXgtG2#A2WjqyA7L9k;l=eTloyh+EzDa)P}gpo|rvQtC&-{n(>u zI#Ty-bZo$)iuwF2e&$Q??;gfN=gvvZxzq>6#K(RW-Yaw_yS3oQ#2*O4RJb3lD=`Fq zlIrX3sq7aXFjp~{y7524DM#VJn0|n1MEs&huMe>nkAg)`nOl|Al$IIA-JYr{d3*dY6=AgrzDJ;;ok4yd6X4ia%96 zIZ3A}m&<_=dbr0O+~jF(46nB0sZ_v=uTV%6gd3|VB0;HXOu!gh)GIS87;LSiE)G6q^#Rxtj~(C@xNoe zdUp?%_GQ98Ql^1Wz&C8fAZvwUKir)Ba1-+DSQb*PCiQ(BH7%pJsM)-~jP=VsSL>%!PY#kGFd)zvm6T{2ewh&4S|!p^dDgaq>%w~oJQ#5|y+Z&K3+v_jZG>df*SS&< z@HMDgAyG*tzC(!zLe6Knl|8@o-JU-HbU5a{Z7rue1kpngJ1)o3MsBjMlt_i=qT_T? z6No!`1|lHCathbYzdd>j0HD1N=w^>r7S;1${muUem12sABwcUP+I{G@DrNNc>jn3h zu^&5lbBAFE*%J*dr2^Gq#o!9Rz-=jGh=)o~2^f=ARj5GA%*^P7<$;S?x# zif_o-J%liURg?PbcX0~j=T&Y$BK|oj@~Q7b(Yu31`EI}--351$tT}9GskYN_YjAu3 z*}Jnv`XW%`^KxmDD$_Z^V+LwFOhYexRl(1{ObL*iMPuj&CB0mh;d>y3u_Kc1E&#3y$Gvd&NOUFco!Nyv|n&+nW#FQu`idGc$v={0?6)iJs9k5?#r z^G~8flRqM6CFb3YoIcB%YCZ&eF-!%l65wF8aDa5E3cOv>+8IEup4Zpuo2+z)kH3mb zmLcua1`xw5oi1VaA#!$lg!T8T{tNZhH)QDN@;;tmtM}CJb?Dki!%0%$iqyYkM|bJ! zH72m!7Mf>War@#3%<;y;{CK=8!(7cplU7gK;$a-dHyRNeG6JrZYtITTy)gY9-c=&{XZQHMzMwZq^|1=H9^{{UTAY**>|V-xGIkE-XYi zfx}$CF<1W$*OQ-X-CJMcC0sIDw`fa0=fre{R-yNGp`OvW_ONxiLW)K-N|0l41oB{pQ|30l8CStAg(mS&BWrG|27@e=Dha1!I>{7!)8 zn5FyOJ7V?Yjg@LWzRkX+slVBt%6WovtGVWOPSZ8Jp^L03M-SQwvlES+n?ToCYcoIAL)UFmkM2 z!8gxW6a@HXcb}3eDHm$WUY$|aW~{-ensFst%ICqFx$cSg1E}z-{H%~lX@E3EZhXEQ z7E=5OiujohwujE6%uUpxz*x8ubeGHJCf2YG?#HZ_i|^@5UnThwjS#H1Iy>M%#V$*n z3+Us^Nmb9A55^h9OTZ6SF<`zuN5xKcXr-XUXm_M#QtWdTJ`&QU8#XLYyBJRP8enjD ztgN)?%*cqyJdXZX!QE-YWX`mi$E?1Vaiy@gx8yvOOt0Z$tLRbB&{1M)S$9`(@fk*U zK9GNA<04JBv3-j+G%8FYDe7T~ZOcSJ_P9?+zHcC5oH1+@rX4UCx^4PfX0^S@JUS)m zGU;l4E!b!HR8IR+D2hg0-?Cto1!Er_lHBn%znU7nY`7xh9D@$P*n2Yko8S(03P#M8 zw58Lu{VcOMj!QZG&Ud+M<>m8D0YOdomtvtSoaMNnu|=6lEzEItW%13uvM+6U zMzU85n5;8wTC9F}(7Rmc1P%a1j2Lk$1e=+Ph4`c@@oDA#nMmR_*?hpbj#=R$;DfX@ z={k(@##P~LR+yZ%udRC7X0+QQGpw_lt3OUN5nUx?&*T6*$eH>~tL(X1F@rFzzx7(D z3TcqnuYK|yQT;48#pU1LV%`3rA=k+_T6A6@LQ|wi=TsOtL>y?cs)1kU|C`0EW zb+G+>6z;O*)zloi-N=RtU@jUGb-o8B-+vp0d0R7zZt3+hG+dtI>@f@MdJxN>Ym|F_ zY2k&HH^G=&?;z{m*Od(4?H2biijqOF8?zsB-#!7^{dQf;KqKC)Nsr*&9Dp1(KePL(-n05JXl170{@*Jp&W0SAlkT`g z_z%XX_gapgph-EP^>sD4`vEW764qj*`E&SNxcH9ndR7b;9?CCzp}g08e{P)4n;`cA zJSR4p@gwr9?z}2kyYod?JrWeYRBuOq!`B6d5ydr|Gf97m%{l;2p#=$2^@Q4PQ@`A3 zgbdk)81rviwmcdS@*^;%S0oSQ*q@2GD>(~0F6@M;6M8y>`_vXj-ea{47ljwLpDJ~- z6*+D3xW*iI=wBVXeJm{|^gW};Q?7qSV{zO*Mg-4vuYGwU$P9c6wO~bk58wN7*T>_1 zk=RNlb_7-Eaa+)$I`}+BMTtA9-?El>X;UCdsHU(BSnus?PUsNU-s+4V5Ir-7Wg z+u?HqN7=jUV%xx!mU3o(5blpR+8$mdv`1MZBd1jP0Pml)yG!1JT7$;!h#z;EbbHuE zL${AKFC&Igr0$`N5RNqaB><& zlmfyd+s2(CCrq8;+Xzz@Z<5ow8^a_U3UFgB+S#x+jgV*Z;!FLZB}*5(<@)$1~xtlRnNcN$TKEwk+4IJHlj8 zs(!N+31ZKo&@Z3g%7?WM->?Bx*YmWy?#IaC*AU1 zHdJ|^h0F1t5xpYMqKym8*c}luO)6}~9y;ERjVxt@PPM0c`E~>`=RYycQel_1K)>As z((EbAth%5}_}X5#M(>)pobjKPEEiEMh0j&LrItIOw8JDz&`~sc!j)DazQ4g7d0aejh?$9TpiG&WrvI0O5sbkZp=+tIr*NP=>D zSXB@7G%m7}^woqseQn7%EIigOYsuYU&}MHwst5GLo1`WaSd0IHoy@=R%pl}(HIU` z(f+kcWHv5#4?xmRnE>MZ>W}Thovuvty1_6IP%z02Fz|o~Rk~out^K6woYBkk2ArQi z6uN?f+uh&JK_EMk`my;%ex3#Gu>antXhtzS%4pMUugTqHsGvgMVe1(g*vmHW_E}l7 zt|TW@6X=Dmzk{V^!O|GC6UL78cAew>|JZuR=**&SUGR-<+qR90ZL4CZV!LA7wr$(C zZ9A#B^PO}1o_k04uQkU0w>8&X^HEGrEzWYy4_zt3VbU_S$#X1@Qqt&F1miXPnuNCG zEfbfzWWxOvi?LeMqz={!qFY?9<4-mU=5I`H3!(1Q2HZR0RB}lX0#j2#a20eT`-xHC zwd(V4wzAOB>|eY_OJ6?I;%$^A@pOczG_n@>NPHnZbHv`94NEoBJt9E)7G}XnJ?UCK_J=6M58@P%Hu^- zYCNOZX1~PBJiQKzp?b6RdpO#NsQnh>8A%?HF-l816WHOyr* zyN|{!?)sB)F8?N{Y#8)&T;KdlYkIn}C&F`tZAFW2Eb~Y(va!*AinPdj{d%0l`)O=0 zR||eT>ZW=7wBEuIkePugya$|@e?Q@-{)vg>xna7jELhca;w4SEsM9znWXEu6v6eip zgPh&JG@Q9MIU)|z2;4(_U63q8QY>KrhUBY_9p!v_L1}+jYA%1^)?RzUybID_LUN$rwi(GFLPA6;#{Ee&1UFI14*`eZ4R_~MpQ{6A07EPe<6c;Nkg>9Qo7RcQ zSh0^5)fqmzw=o1-2ya%FA`bLN;^fObXY*f=A^7grt&M}2C5~wC+f{7X29dczcDHE- z(T=xBL{4KGZW3{^00XLftgO_GKo~@Ckh<(B$^T)iDBqQX*}${fVOt9B@gCH)k2zG4 za(~_NC3_zlj66CD5(FTPfP&UO{JzF6ZH)sb(d|0ilAfrd`55Ss%(kYV{CVjvZV%`Y zd>7a-wp(hQC#^Sg()3NEX*@tsJvM70_)f6>ifSaeCZ+MUSxIgqXydr9w_d)Ghom9e zKKi4`tu><^)CC&XZi}IOtLmRl7nR=hAYiuatRsalf=911@F3Os>6UsbI5qo4LH3BF z#&D3JAM15S&!5XK5P!>NLb*ym+=0VE{Z5fb-H-z+aB?p}1NL;gx?D!$3e?1NJm~kJ zezzIm8E~9{XUqOsnzVX`hg}b7+(WEf_tA(>xBU&I-`#{=Bj7i|X1Gf4=Y`;>a9R6H z(8b^DsCHFKwW7`lWluuRZU-I&)d#^lM+UGLTn-)a;#L||-Q_?_pM1*2mZ?f9aTCUt zCD#-&V;wmKDgpw#1pf(XXA3Dz6ZQZoSk_Fv(X;9-Ig@DZvvjBm^tx<#o5Zh}#;@xe z4YsFN>~Qv_lsP9nSpcnZr&in^@Gm#hq}wh;f*qjL*Wrdnv&JHY4N!DvNMs-pmmBUI zr>XQfEvY6m@SD&|3!a% z#$N496+VbD61W>y8-KsVWCml7!SQ5@#Ar~E)5I3G$gJO=T+nkaNdz_yYh=|uPj1Uj z%_QG(onCuZyGI&#;T`TAWx9M{irl&|6jcD(6A+`Gc9gc)tyf%W?#b}Fp|CUO^B1-x z*b_a=6xG+g`-1uOCfzg-tE4q%g5r~wcXo>us$pk((o)|(L$6ZY7A(3O6REWdG@Vw$ z_Fy=!4F!Qxwnr>=55FfKR-Q`4Y6{+#PDUkMT)S}JlWc3ht<={wLLikH_`&}(2$SkO zF7Wt|HG&Zc+8pNqLjJy4F{#cdVZ}Fq86j&nvzU2?%o+x{@&f*z%=`vLE{iD$%elb} zTmchX>Ty|5gLR2OZJ;2UnW5p0y|r2txx2y-O{bOY#48wVwEsT%+G9fwc%dXPeD`Ct z+2yS1_B3zK6?CG)5atqm>lx5(E@V+~$=h-;m8VGr@gZ_*r0OG7=~%=$PB)weVQ7XH zt{#P^{=HM*Hs=zGHT8M)-oL%!AfYWo(};RC7~&YHkn4pNl$Fq*)ALVm@ATO58!Ns|0|DrNrZpP1y>beI z8jBgQur}ow6%~K71Vv%vQqr0be4bYvF1>Rf>9lwxbs0EDP>Jsth6d~J*w{4qLZqTH zQr`WNiBcUjR`Db|>9g*1KLGDA22)Ar3KtURhpkXDP;+LW>OA!-1n&xj5@nWf_iVL& z(|?*C98H(^Zs2;h76Si%u?H|Ym3Gh7N~|c@#Op0ZE#^42b<(i6HMMVRu@){nXVC|i zM9UTCG}<*I#K?$MMyfd)@X;KTk87vGt7@XwGFiYiGk;!;0rIT4UcjPIOQ~yTZ+wd^ zuPVBiEx~X4TZsqlivwK7LE_^c4qFkmH4N|l@{1$mFO6gX$gYPx9*m%kTN9tZEU z)wr_N$1J-1%yfTYK~PqjZ>0Tho}SvNM+>QLI44QbG%nmWJY~bz74MGcHgmEEXdNfq8!(cg?OaE1pt#xnpb~%e7+S`$d`Jzszt^$MRj`(j z?WKAwJFnI+&4X%bpOR_+1Rn@2x_&d!>CjL4pBDV5$3tBNfD9&E0ewv0{|LUXPH_8- zH)E3wDsbZKr4DLMhxIOU@FJDv`t)k`O9~rld_A|tHr1r{Y*U&=z&erWUIG`E}DE|)YX+2pB|=bz?>p`eWy7Z zq!j!~iVAd4)f<7n7kPvWu?9^ZsLR%!22!u=4~pOZJT(3+f`EkvIK^3|TB7Nn1_YK% zo1JEdt(Lq!z85Nql*Wu#%6lI7SfxKBk?>3v$?l_4H#avJ&5+D|Ea;<;o4u1JzfRp| z4N{=9(*0+ksH_bF4T0VD0o@X+n!;DR;~);-(dqYEE$2uik-)o`#H($81?5g*nj_d- zYq(uQcKn%a6CK2s2Vp-69 z=k%g=@uk8ofz~zi_$7onW89;HN5^}eKrNm0=c7lvMvhRMLv%Vb+ZbHHWLZ(vt7|)f zU1nH_{WiRrC=h+8Tu~%6!u}`f8uK}D%@^1qqs8!cEjRE1bc85eL4+Q{hu#cbtxHua zOc>f5YXBGms!qeSR}@lZ?Tvm%C)|_g=DtE`wy854pw^MFD9G;d`GE4w_w5Cev24-M z=GQ-4Aw!f5c>Zl44V~ukG*0fhfwgfm7|H{CTJ?Z-z@P}q|K>dPoUk3E2h=ilM!6<0 zF$1H|lMUw-N5*SA;u z+O3B#?dO@?L-)nkw_ob{KDEmG^WZZM>t{bW?3qByb8{8K#-iCETQLaXN&q=2`n9u) z<)_X{lZ|^K8LH$&v$i)wHYSQdF;T1KiR6h>NCQC*>0?Q_aL$O8&>0GVMCF6j$a@CI zG)pifNXPl_@lve)*2L-O^ns++k+_3ptl`6=%|3JZqBHJ7nHVSckTnoTh|M9{?B3Q= zVyF-PfKyAVbks{hc}XE61CbKU>0}tHUZ82vDbtHE8q9!lbxK*gdv7iFv!}xK2Adz7 zP(Fg8RLSliLd8lepD9|+{TvUYjG4!LqFLEJmoD>8fA?Y9_zC0vKhdYmZtT)6eV6Bp z&O1d0Vb7rX1=6GVIRtsiY+Ti0TF@Xg4wjHXHT0{Fm`h6*6)V~oqip41ktjo$hr5-vzRA-aSB;)A+k zJf0z|w}A9SBQd=ID@gGP7V(HFv*r-mq*NxUi}r8U1IMxwU4e;jd3t=ZH_!SB{Tu~vXN;eojP=YIVzQL1^o zm!$rIwuQFpxpTcAN1N7X!isif!Kf|7$0qH!z^^tCC*+uS?c5Bpb^#GZzZN- z7>~9kTbibov$pF82!yp1cszT3F&cmYa;;SE?0I;r5$JRwntw2`RU>6#K6oFr^19@y zB9L?iwZn6ZJg)`9(-Ti_E$S$zG9F5cfSBfu`=h;jh@VgpDq2TfI=jj+7UulfVhSjF z_$T>oEkvviEhiZg#>TDfG~YzJ85VF;No)WU$UIVpMIvk6obpF<9ivVw#^P{-Xu3T) zXGQby6HL}iFL6B%TK!VbO9_h~=rlCJ97|C#r||@;RD_AvTFMFB$WaN@3)j%zpQau9 zrF5D^BBL_ofwIKX&t9WH%IS*rIf;5QVnOcoa#AxJ!~XtpI<|RPhbmLeK+9um{wF)c z5h+Ho3b}p(z?2=>deU9nv7FRfQNV#l1IB0DP`PI0OMP8(t!9rI2d;7q_9Bs8wc~lV zC%2RO4cZr97u&eXo(5+-?`3< zF{`g;eU{tx1MU{kf(wO-|`#*9zjuHON*< zoG(u%JMv}XTlq^~AXD17aJu}>MWc|$IOK&x%b|cnz6&~2VLGQFuFuHy{ToOBwiM!+ z>T{klRGcFMDNoE~+9X|iq_xd){O*beC>Y)glyZ<@UCD`ptHh<3Qbl56*m07*r&pSd zDdR!o(tE^|AHAbE_v1gkf*9MZYwWH1?>q8R*0e${A=${W2K@oHZRYj|Vjr$YZ^NMP z)HiqeGCYsgGk@nqXS3}=k;gaD$`4dp?#)^Ky^0(Y#bh1rjHBn9rps>cWC6Ecoz=O1 zE*?Jx4Bg$)Q&1*bxKvFK#r8s(An&0>SlczrxGHVBL9^DnF&oV(nBwn>PV-b_R2Cs4 z%q}Of5oWKXmv9G0i*BtAP(dr=M<)z_x*w^@h>xHgACTZxpk37b>q>%v18v#!WmBP! zb5ar#1gfQ=S0YfIkd+q-y8#a1u){TbZ#A@mVU1@WGjg%V?T`rq9^WyNpS%al4(5X< zsiV5jF#3t2R|&8Q2`CLNq&~=@=d7VcT(rHwj2yy#Tkj9!IDN))fKk8xkZMmxtc&TJ zMV+X_iFK~)&k3(OuX|Fcxc)>Y-jbFERsmy%fz6f_YBK;|YhULzJZ7AKB9PYOTl`Ha zY$B#lmW^hkDhG@I}C}RmWLY}1`&pa2kk~SfM6%Po4+n&IxY$U1tw*Q z6rp%I-kpx2$=tnQg<%7AGP)63cB%=a;GPyMhIgM!s4CcqkoCNu7i|^2$c+RM8KB} zxk<;)r10;7A=#SaQaZ^8#G=^yW5_iRQ%Llc3}inMOIWtJW5w)&?}z2#F%PpUHssXx z@c)f7l*%Wy+ajBN8;STp3}`3CX4ZuuV}2K<#Ll4 zA<(o~p*Vk9dl2~UNiCF_=5((RHdB26F?L{?pn{U;obp<(YWWdvE{e67L^#Uh+gh&V zqJe&Q@;IbAqy(l^kO{)205gq=yPf*uYpdBBLh?(Gds?ac`m#8UV0Wed5Yzm^!(RNz z;tL&q@h0CzesZ!9TRa$A6)5|)QG?3^jbVS!fvZ)=mspp5smt<;)x)grih@M}E*pH) z>5eCi?5<*W3Bx~k+YI)+GIi!IPY?%{ijd^b4 zd5dARbKJUJKak^3eG-Bj4cHB1@IVMf>cw%#ka&!pH=d6pa7Tz&O>w)xxcG+ZmGBSn zP&oT_HY0y-pw=gRdG~GQ@}=F`Osj??cjPcokvrBPk~57$F!u7~u_w>NgS#*bh}6;h zb%e1ftrA(yDf5eeAn=#!pFsr_m{)k|FmfCoeBwXstnRuzvUc2JphFUm#N+j$L~-Vi zLJ`!3YiGpoV^*$#eWgNv;{`TWs%Vk?@?89!tJ7?V2Q}zo%a&)}PEO1MbWoJmM5xw0 zAcp>q7N(KD(G*+1`JMwm*#beade-jPUv>jN^f!ax>ot66r^nQ?~QK(|VO%bUlw)C>z_yz{wXu)Lwy|YS$ zV$&=k5Qf^&xHAFIp{IRW#{WbqHK~0nbJ0zlmjKkZ6{+V4Eaj;^#?cbA6wM2@N;3nC zL|Wv%O>=Y^Kd>rB5q7;LA?5vkUFES?*{Pk6rg(PptmauZ!E zCgel)(9l`;E5jwRap)Y+8F*i|41z8Kut5)@7Ev-3^0WrYGjk%FCJ?;2d+v{2oubVQ zO7(+=NTj9nluMQ9ps5NnQ5=HfQKE+R-%vO7#7K4RR5lB+(b_Lm6pAje+ttp&&)dP~ zisDboX8aZl=oIBC(;hlAQQq(+{!f(je-Rj!H9=~0dZwqVtC}{lSFZqldbmkEcG>)) z4~?mTQH4fnkf^34G*um6@;0*XC3kr>6#WzY6@$r>yMpP^HNEHefReV;DNU`&wSvNl z(oq(yh{!J#U(n5QEn1oo#hJBbJjN1VX8iC-FdsOT ztLEYC3PyUsn8T7rugvhYFtO&Ea<5$+5>Dkhi;?8lM{guga-A?GM%`7&S4)-cCmaOi zFf$GBEQ7ZHHFR)7H(IYy6HE4>W5SFMX&9ZH#tJ3425N_TE>-hQ=`CAg1Q!ooI+=h; z`*1LiIUkqip+@_Qz!Vd3QgnX|@4<$CeOqF=kYAc? zEw4!f;y(!B)$%l2KC0h@ zy0ngscC;jCV2DY0WF?}MDT99Hu21mlI_6n4dIHstvB=HbaoZ#7w04ZZjtd$JjWWF2pN@O0Cfgs0z!)X&Z`aOb_dlc^ckX zWVlD(dP7rZyXkNu;`(bJ#JJY@FOke-KnS|*a@s^RkJ1+U~^^=-?1Ie;vg7V%|VhpD?9c^T)d95mVd7qSrGS3f>S

    qnb=RPAESd_r zzz7ReDe8?_wenyFcE>}w107g;;&6s$sfExGUN zAm2SuE0~?1fkUP4G?^Mwh-n!(H?aGdxt0Eg&);g9EbMsykJ?^j^vWsLyqK_mpRfJjKkx6a(30>1ZFscyJ^BwHgq=2q%}l+)w)E0J zf3TF{F_2^oBYDU&gSfAkLSn#5k!p48?Em<940mBMnq9cRNdi-JLCMc0@AscRWziwS z(B73g(|=+&e_!uER2+Z*_JJPU-tVbDk)eA3ER6owucWAuyD=8@IrCpc3jb3Njri$1|C{(Ttw5(D(pUGb;{p&pRzc1=v{yM8Q++MkmaF+k$<-ss9PUs0< zP@jx{@gF|OcUY+rv}}_9;c40Ez6hX3$EV5eAKbFA%{4LrP?u($0Q{O)i!+*J`f4$^zxY03X*LVKIb9?w1?u+gAk0R^;_2K{9 z9lZk07mu~->VJ4{$uD4`{@(@ozuru#|GNPHxBJZhU4Z{DJJSCTcfc~aTc6WcVbc7b zwX093ikc6H@do>d4NYIM`U|?`j3{h@3Cm&i{5j{rBPYZG}XThV?fnDiCj* zDJ0jPu2xPE;axq{3RQh3(we2Ag!sf3ih^|QF+G=}EwBFj9xc^E0a0V$ssS*k@ts8^ zYy%iuO9T>IsD;$ASm56~LGL*Tf5KkP_~8_XJg3D(cOl0;Z}$S zYy)`~`$&S4@NhRG%Cmq*worsx>mIU;TX7!VkKF^lt8M$&L>rXVrbvz51yd3bU8d9B z;^LEn-a*K&{4k9KAcIU#z=m^5+&}`A)DKWm8w4_@pmiQ`?bbRfpWptQkIash$IS7A`2f~_ z-i^4dyYG7o#)R>?Us&X;P4NsFgIC>J%~@5@q-kZptT$8R~Ap zn{*>xhr{kih)#s^H{(u=d9MBp^>rasisOvR)|H0!IIrL&_6mvtvVXwk;8LUn$b$g^ zOS|Gw<(Nc~HP}mz^stg?C3kYT1H2?^mqA9^3cc6IVwH`^dmuU)tqEW!D-uZhknjlr zkT@h4qy>llz3AxQ;sbx&WPk5<0t~4c!@xk9tOOVN*N%^bNFpiA9zT0HIl6i0J){Tf zOft5{LAm=1L=N}p^aalT#qgDVV%s(c{P3Ylxe~9Axi%&F=h_f`6F=ycbNr}dFF$*xZvu!s;XuT> z!){8$yHjvZVjL{ZA&FhUyP>E^Kt!_TBs4RV5S{sYF1#yx;Vt=So>pSP&5Rzw1%S5V zYMB1OJc(8?by|YS``beG*JN|DxnIAr)V%bAHXPgej~odxBGY}ak(w>E30*75KS$@5 zs30%<1EG=$7%gG0$#h`k`DRX5vHAJuR2=|IQ=QPZc9Svdx2LwnQ4+zcE7M8-alo=N z>>ZLt+0(}dN#T%JX!KVm0{0!rFSc@JN?4uPsC%s7DBevDi?7{8J%{fben{L- z!9~yJwvfqr{bZRV&vCr9pgUq1lrgju9G=kwnkF#$5yZ^5;D2Q>S_52awXkd^O?v8q zved*UO)=|)O2B(Ldx_m<=GS_|*eV{1)6Y6KgUz2Qlm*QgAeRX&Ez!VhHbc%r&PbCM zomC=cKOo==fIZ_NSs0QkUBU-zz-zN+SxI~`%aLWybQe6%CUz~=Z#Wd7L$5@Vm~-&C z$Y4sq$&JtKFb}%fU)p(hoCI?vnfC=ysa<*lSFmIO8plC0Ui;ZlrB*PTy4QFoXNs1n z-k%|%(-!_tab)8m%LRyo7X9(;NGS7@LIL0P&ie#+CB50XJR&QJy`GC?JFMb07!KFC z+YA!hcG$Ee2<}~v?M5s5-PVst2^+#(;gha#`q2$Ozb)3WH3h`K0CH;e+vMi^gzzvS zmVs|)Xzti!4`S>gONMQW)y8{#D2987jH*bghHlm|pkN*nh@5oiur0i2g=3yV2+mP1 z97rV-OYlL#`uCHKnhTm25abXK5oDLpB3u=7+2i_UL2i7~Tt_#=1m@)A#e`INzE&~c z+XI+3!CUC@*HdOyoI-F))VlheIXfZ2syABc5SB*10X+Sp0mWjNtC91t=+AMPlbm zRl+!jmk1VEpAqwz&OQ<@T2>?kstqpQNX@m0En0wL#vTHh+RYcYO)Y>yKl!m*66DE9 znv+GNuLZ?oyP^74E~Xpzv!vx_2+aiptCZkClTh|j zfTpU8C$7i6K6~w`WLUSn)6BP&ktGJrqZ^mys5APCk0;(#%mcTxNNvw#2~I-0pIwo{ z2qC?KBSIu>>5V@%Z4G9_EX1F29Gg)4zm~3CSv{` zgo8V@;6r}{FSpj0UK`EZF?rB4K_x4u_(3o;Z(|x*FC?HuPKC7U@60>a z)O6~zi@^YNsX%~d&wjB>$pb*qKMRD3DI|TNg}~vRxUJQ879G8tyu?y5m-NQ}Hkgb& z_s;nhQ4fd_RVCn>Tr21bZ=ADw&wFfh-=c)*uMqdoC2jSs zBX2%NKviQ-+P$x?A=x+iMCFlVQ5>AO5-y(=Q1%QP>o#1N(2$`f_Kr|K_UWgZuKbIm z*5J%P1jo>mWg;h-jQ)b*aqRI>YF4*c%MuF=QB+#-2+dqI^!5Ganza~JMiN!?@~HM@ z^kQD5Yo1V;)x2HsfkmR%T=oceIW?0=QVzrq<|E?F#Cc>^kF@R6=~fHnP#bY{R1PpR zulEZfV5n_~LF<098>v9lJotocG@?W08D17?_zKwgPC=&14uWS3+b#;ujg_-+)b-wE z!|d#g4f7&a}Q>I2IFKI99<1q zJ1!p~dxVG5stxJ_qxTgKtycSL!M6>(DJLR&4|)#MpxClsCV<`M*e63uFu*C27xUX+z>(A?#pxJ|1`{W zdV#aMAYk=y#UtJ6qXdW4Q&6|yEIhL??mO3qcu*0Wu&>gSeb?4CrzwSEmwvFh#Hm;( zDLx{)Jp%D^nLU^_(DL88W&9*a+mKXS%>mOX_i>a$!q!J>FimiY%8oSd0Cs- zhfiNx_LU>fxD?3YeJHZ_NS-s@dcqT$sE2NtmZkkRO6^9EhagXxrA%C&_DTXE>s*&l zX_hBT^!+x2lG^@(@3+P83AYSP!`hlaYBwL8(BA>FGBuEt(;i=D98N;UUF)F*nelaU_!Wrji~v9pjvLI_isY|8%K zgcSLRKBlSfkjYPva_g?EW_z^URV`EKrCOiioIVyu`n@M=gs|6B`<6%8V^z~+BWpjC z+4dFV1DC&wF9k0vL-0!|F2VX(Cr zm+a|9ii#PzOo1z{4Q<Sg=s96qn~jy~c07^DAL-7^;82dE?!i>9{BGILyBWP+75vxg zkV2#_+xn5u)zxVuD!uHV8^{%nO5DwaxL zRsM~jeJH^x{dj1nm^S*|3u8qmKdAG;(43HFiI}YTrOg{xrVnm7ndxiNOkNZwlTO1* zPdMJ#j=EQ3_)5l)NULwB`inSok!CRGCK3W<{)B%5>@mkktSD9nmJ0bZ2-7yRtG|GA z^yK>Zbo}+FG3d)SkLqji7UvrWO@_DTt{j?KF7~}MRFz*)lEzqZpUF)l&xO&?*tOkp z@D9&0BOErPTR{BB6-nb;AS!Gb*cw_^k7ZX>6|S|n9j|W)ktly6+H*7y=G`bC*+)J6 zt|MH)>RuqT4Q^q&_;u_%77}OD9B`Zn^)Z`QPs=^&7sr3MJ{n6H0ViY=*kSRijQw%k#0irxJ*rO4?$J{9=~aP|Cv!`LNaPb;VrSkqV^ zKW)qTsmUd-4E1^VsAk0{P&e^m=kqLlx0t;bRAcNrr$HtEd5;OJ(40DHzx7Uc=K~gw@Yd@Hhe>LT|V%cdV>TN`ds4z4pM!+NIkpInMi5)(Uv) z0IyT9>z=!CqEHgNImRy8)I#)Ebzds*6*^HOBFtoH)E@dD$x&rF(SfNb1dm|b%z@>$ zaQ2F34R`o=j)xnEOtTrEgH5sptw0ANSAnok;DD?4e{#+$#I;MZyJ&yVa{Zp+7)#+w zsotF(hxV7AXgB8ypD|kvCsi(IVHw9v~cKt$8mUT1P;iB!$@=C)9%@X^3U5O_Vqvpk} zd@ZD0%rrc1ZA5{@pgCoJMY*Yr+Z)1$!^igUwF$Gpvp=Ya9U;nhIARP+CkEL{65T_q zTfq!#RECN?%Ch*>L&mfJ*HrZ&Lys3$uqB&GWVou${lfj_YBlqF`EeWX?x@Wo;Z6%D zC6$Q{mI=-;Jp8-E1)9>A_R{p)2){}va#r`mnu6{aLBioBDYR?<*26nbjnEBzVDHJ{ z2D6EX6rIsaD3-MjK(r{I%xO3U)(7JKw+`4+B zhQ!`ZI^U+mP)KIVkj^a)z4P zyd0~}Q#HTfKFc_>(Uvo?-pk2?pTGd$NjLbYd&Xxq1F;$9K@xa>KRiW6`-j7Qzxqmc z&f}5EJH^A5N6m>xQIKxxOYccWpa8>ZlFR_LYd{z(P*K4)adGmWBn4?}n1?Bd<{M8B4(^>EtQ0^{Q`Sa*lSy zsS$gOA>MnM7Yy>@XJ73O|E1_;V?*tl;NzArq(MvdGemAdRU#_j$ z9LODrmpTCGuAW5b(3tpiS^@cFYZpew?0bV8gLZrL7C;?8TJLblrs|pAs8tf`zmi7F zS1D)K!{q<_7roo*nZ0&Es0BPCQ@6ZsmFSl{jBNCfEF=e=WM@#H12Clh9%|#X;7BeN zoo6lg0#2Q)KpwNJT02<~1$IN-DN?tHxit;lSN!ddVvXr5pV~%IV_MgBD>4V=AFY)2 zK@H3F;Vr0pZd5rU&wUy2jb&{15X@=1p0=78zy5p{1Zq>_qe$rQP(#Rwwu_%6MAVHe zYUDm<6uIFQsBGxxP%-vmWTQLS(xK#VRz0w35Zveu63{N?M3}OXbfj1eZyNMUNl{^Q$yJhAZNt zUi!89_Eg@#lgvh{mr9nhdAIg%YC9!{=L+;A8z5#-V^PF?P-U?@qf~M-`mxc#9YiJZ z8d0jQfSLkccC{%#%b?NswJ$#}su>zgJP$vGwmF~1Ak4}61g|~JiTpce#|5(H`A0FA z5=J0Mq7{a0@Xt;0DXXp22@@i16Sya{Z|2Cmk*Vg`#z59G&+2Ygfx2%Kc5|&Dm$k)r z3#4X(X{;&SMcMJL1p-K_->tb`^%oRp2BM5d7Qg>e{Z^tkeC8fXdS|Ql&oD+`Gro6V zGEJkO0>(B9Bg4gHZ(WIv4%-J9dz$OAwt=(EPwWCfrXy}WY%e%8UHmv$+~mZdJQS@} zsbe=T$yZC5|7u`XzoVwnP=$mT^sIt)ux_P~7H^Y~RNp-?sWEtV1H9nUMAyO8YNxK! zq%<6#1XS}SErMHZP|qx3xZLuoYX`9}R;GAi*rZeOJtKR{8_OQS=6C%$LO$i%mu|NW{>tmPbkI@suIsgcKxwY zkft|w}UW4+L&`)pDG#DIUK(0*y5L+QEM4Kjx`%v%eR_2 zmJWSZJ)*X^%UV7>wsd^Wba>MOdKqHHj^$F@kYxZ@`hW$f@d)u_w_;khMmU@Jw~T$HZz_NUex1bhYf|0r0;E^=^#m)M9f7f9zgx9I@EO~0N+`s#ry zg@a@1dLU8h8p{F&a_5i-lo_NENU3)osq&OE1kMhVn$2SY@ zRsXD4dd|m`J+^6EP1)yk3+s2_K`pv`w^}GuyOCWjFonoLC--rPKv#@A!L+JSkiow_ z63M+G{`~rj+;`f;L6%Q#r&zcEW&hd+^wKP865GCVW~sa31g-Uq>(gjw-umCEy<3Zx z@PHsJcK#*z?7-uyw;OFIGY3D#dEggc^otcH&~I8Ro9U~HX&2|OTxzU6q5X#aJfhju zg)yX`W#ad9e$gAsnSCF4$rfl^L$ythT24=2CT{G2I@u$iRr2I%+8a}}&)EdephBZ0K(#82LGfr%|YAk#&QC0Y@ zOY{Wdae67GQFJ3)yl6OuOn9xZa*6>ty=5#IHKpB#V~8eri0b||Wt~*SkByA*@LLK+ z!uI`Iy&bC_wC&|l@7}eqdd?ZgtX#zPA=E)9S{@8Mp`EoAH=32dCSS))>5rv1Qd1M%qZ`TInkWCio6h_P;1z;-U*-zL`Pgx{x z4diNb1HHOcZH=eS8M0+vtp7=QN;cAvxMLXOIMji?Pim&W6$b_BNY$Ig`bIJCIUHTq zI0FW6E2&?VKyk??9vOXWmupt2E%Mo2_bi^v%MjvgLNYb^>aY|W1(~erOk&@~Boj{4 zfSK(q0q5}2Gtx^OU}hBa!8SnAp#`Y1-1bt~{k^n_US2w1u(DiwgfL2*bz$q*Y*E+a z8c8AGleOJZV6eV@tDCb@t#)$hm^%w=$%vw{3|Pr%Z__D{R=U#CzvISME_e+!v? zu4HhaNB+#ZzO~|Qr=nPQ_d7R!J5?95zy7%ou+j1Os~1ZrKpnR^lVWL4n> zH>K-th7Vb-#=pE~)90TV3q;s7t9`R7^>v$j`_4~>b;^gEJlEm?zYk>^B#6~I$@T@N zIpHMc2@a+u!;AD}mki__5Wu(1X0z;inp*5$;GK+K4og1`j!TnW;fL#?036UBK2bdU zWiFo|{6EfhqGJiVJiJZS-4rd+h}QP2eY>Fw4VktJnP8cLM!#F)XhF50(sWv&Dpn!y zM^babVqklpgGw8~LKfq{wSJLV%4=3n{APWNE5MP2<{K)TGho`VRa|K%?iy;jlklnQ zD_=1YuNSWw`8)bpM`~*QYHN-!ur23C(0{xxjS}(hrCpfoJXw~i@$DX$x$ks%!6b}9 zxOF8@!;HkafVgg=Zbpu3vlaz?xZjnwL;XE;pjR3U&TG*jVuCFdFCo3K23s7 z{>mR5D5{UvG@?hc4ka%Sm6^H3Gr9L&jH&$*NO`sP;!hoI5>2X8IrR3~=d#Xdvr{9e zu>CPKSpx3#3Y*v=ms8zqZPZyD571Km@CY0cQ`s7P@v`)dQIAsM!H<5wvXH4+>W^{6 zs&GA>e%@mt7CX3u?!b7v61m4)5U4aed&jtB!ic8L3)rTR%;2*NI?sx6p(mo>?(M?d zbkf7`D_YLq+ycy;Jb$md#t@^H-8-Wi(3f7GE!gsMlZ~A<(^X1(t>Q*gwMOMS8%FPY z?bH=w5LslxXyst?j|jbs^VQw}Rw+n)cvs~x<{c?*TqH|8Z0zCg)!ZGntQ%uEVkv%N zY)`e&Y>7e<>n_@J@?Io2<{3w1>OmBw^JI0;6;IDI%qTeP-8g`x;j1|r7~IpG$a6jW zz0k0S2JT!Toij}Cc09UhtZ?9f_E5pH1pFm~4}m>u3%#zMZR@RIMAYB&aPM}sgQJG6 z)uT4c`uN$~p^(9#{RM(C=5=BeG;}j0=-Ao*T zmLh&fg`065KR2qX;xsQmy#8HV2J`%ZlloT*FeFMzah*yHJSd2|S=8^PW&`FtMP-(PkPPa?)agsVnY8!wIXX$A97OpQLjq~=ceuy3G{PmWPlCCZC`xO*r0G-789x_)u$B1GY#Ye(TW+8fqFp*qDF420Q>Gq8nRN##nNql5z1`&seOp5854 zRW}`oN64r!A4vl2Z-iTI+1^I(fqc1?W)&UHBKTPr7splBHXc{wQk>kV(L0mr@D7nr z@NWR)n9!p`dzkdhnOD1~lUWtJsW#C{I*^y0Y7u|@>{XHJ`}s-bbbMxmvu*2VC0{|($63JkfQzwvgJ&XK=@QoImPQe z4Es>O3Py&lxgkt6<{qT4cV{S^hf(UkuW=U*$4%Zfq({{I!SS*C24T|Sp4l|B;QWk( ziKNxeiQcetP#i+0&A*RFzl>iOyF+}%EbbKp*B?)#rBjCvc|7`=0?{-Hcc5K4bH*7g zbejCI7NR}w_w8MWdcU=~QSQsvD8~!6RlS-g7>?D?Q4B`AkNSFm@FBLqHiP>#>v|JU z%?K$dbZWjTx$ld=HVB9XE;&l7d(?3*Xy*ew2=P=2RhES8h{sGfo2r4lybEzHCy*8) zO=~U)wC_SWgS*UONRV6`p!%`?r*=ND2jq|+6Lg4jJi#M3PYB)R@1?4kx{A7-eogw^ z2V|0ZkUs#%3RkxKhV0FJNx!q6+PM7b{JW5e@i__s4{_ra&YZxxD&9htX1qpw&zCC%NMWL9{~xnu<>afmb4LP3A&duWai8|EwDkRZ zQg>X=h@U*uc}jpmj)x(UF0n!;==$}T=NDDY9-h1Q@<#%izoOxX;-fR=omL-Ik2jyb zbmno$r9jqX&f#xQy1tEe*FMlBY8%(&Xm1Q_Z{*Bvwa*r4J60}_jP4Wn=X!k=cENp{ zDLn1`p415!*{Cvn%p?O|_a>#wqe)gK=j@;;_50wqhqojFPq>>AzYVpAb zKOWuMuWMl5ADN|=NR23^j^^juuNyynXTL5Z$qs(Gns)Ow-ei5Uc_`(YL>8!4H1|hD zY$_Lo4+jujJ=hZ&%0GsX@2&4|6?oKeC@_BnQ!}@y@&v`ZU}Rt>rSW$Cd0Ga^u*afd z_l}*?VgFVU=#j$vuKXu|-|lbWf+1a;dJ~)R@A31LU8r@&Aaw;b95gKF8MX$ODvc*- z*(gyQ(a{TMDH*gWHioW+bydXWO-t0!9vm$H@iV>kzK}p&t>A8Z;=#s{Z7OaZSpi@Az35g=IJWuNt2G-vWEA4XfVg$HxYh3GWGs0awEIw z0xHa7jF(aS2JI42ud~q5{s}2XEm4tA`SLRAq^xPBH^w)A6>IbdJ|Euc58=2;ep^X3 ze$n2M<92VdI~(5Ez5IUu)}IOg-)}j0Y}r<;r^O3bbWoNB7$FWH`ys7zr$45HZ|j3} zq?6xDO=z_S^U@{76X<(=H*c1+tRvsJ?;5wRPj?|;6F z<-)D%xKU!rfct)38PCF&=zd*(QsXO*{koB)CRIP;n-A;cU3c0KOeWI1gF#whd2wz+ zw8K+*&7%bjW|ccNTQHc%f4O;Hhhe`Vb@cv(FrILnz@#6act1csNxIMKv3jh&obUMA zq*qGOf`WdWihs8L9E`GAf6-0%-_Z7tR0bOKTnEn^ezX$lv7hHFU@le{%x9%M%e)cV zDKas~wEXnGDGnv+G7Geneu>0KE}~U;H0N6~$t_pO=ts3iU4X9l**d%Gekg7|r!C|E z;|R<3p>=Ke$JGn@pS=0#Om{SB={U0`Ndx~nRG9VaQ^K{P;#-v+_C~6-9RaApopnHX zYjc&ycWyh25gz0UHt5R9lo#6#Ta;n!mxz9rzZ>myIz%QyQ%>%@5Ux&H&c8YlI#NM` z_l|q)0}ewY&&77{>AeJN8JvvA;Tal_#2q>}zYiTAou%><%|C#zNiI@)b(;{GDYGc& zgMX9hSNOCF95TN3>8Ucf&rt&rdUiUpa6!4J*p1STjdAZ)txGt6j|LBwOxZi87d%r#SaamUL zPeF!cjM~zH$@+9VjEL%{JE54gH#DvGWfh`Z;%EkzmG9@PG{B&djrvjk@d8~`$QiwO zuSE5LX7Xbb^vXegq#=Y^4&$BXk{s5f^eo`C##?_mB%|5!b~Wwk0|4rhz9#LiC((Kly8&fa^(Q#zVYV>U`>=Q*!G8h5bD{io!5_S9-QOz;*b zs_;qd_Gk|&d&k_c)N>xPlvs-ur)D|AxgXXuFbk1FR(`L;^xX(14c?=BBNn%5s6w|C zN@vy#yDx?gmI}4wZOzS_Y<*rFjB_76YFh0L^eaEUC@l39#_?goulp=&xBFc)>=sns zo2)#WVq6(ASMK`9bZT!nPI$b;>P^InOF~{sC=N=6;i(KFUZ!Q2>eQxpfklFpGq4j` zsrovNTsZIH@x1FSQD@P)pOA#igN{EtlD?(q%g==kzKlP13N0(;zj9i8zs_b{!N2H_ zD}IB#oM5QxFAd*K%kd}95u>|Uh8VIwx5_922l`Rm<8|Zymweff%%_S<>xLnjrh{Rr zPdJlY0tnI3%~`cO@wN0%tD*@%>h27MKl(5WoTR?hZEmX{yb_zmZ&BgZzQ;~ozqn$2 z(BgmN_X(k+JM!s8ZV`m!Pj`ksR`9N9$5^Dz+85Z~j<%i;V{+YhVA;u5@y#)7X()yK z2;Wh&gOTNZqp`^?XUcZj#*F0ylw}E*gh^u+wg2|#;5{McN44L!KaUh|^!6j_6{lLK z-D&@W>3l|yR>5{Y&Y|U8<9(aPD1FN`2ffYVLQw~5?8XCy>4SOy{lefzhsjB674LyN z6QRQyV!~0s7e@~k@BGfUw%1?Ztv`=1nm#CYQu}qf{P`>Ww#{Z&vqMi)cvo~|rk7|$ zyKFL;l0F-GhM1%3a`5Fi)L^hsyWV`I|Ac&R@Uri+cmC%xeR5UJxbF}x+c?{FH=PLFWa^UXUkuu}H>**$6QqG32k$d8GL;7tK0P(1 z1ugAcZh-=mxgG9a8YSndE~Bf(oDRRdAy}2OALBeuxHEAju73Z~XhqG3*Pld4bMOsT z6Z9p%X5!;Dziv-DpX=d0)|&t9;75Jn!H-qP^TW$W(k0Q7eQ&7YC`g9?znH91R`6e8 z(djX#ZxO5_W?F`8(M*iQL!@0pY!iA+aFNXO&blw~vIojQIndPac!SZd<+ zUDFDpWtDT!T~pIts+$B>?b;hhW4)LPF`T`^4$gfJh2uMqQTlc_1=?TCRgHr948M}b zvX5T*_UmQkXw%8DbB(C!X~BXRBP#>Vify>)H@U}a5NI)tbk4?|rS|a+-j6n6AW}ywiXo9_0ZLi_bQZk?7B?*Rd)b&>X ziO@oa9Q?9tW{+pG-w|sRhst?|^18*LYEhQ0@7xR*LU;EgBzGd%_PzwFN{pg%A5l`J zalP(vw#9*|BECZiRoCX{Ogo=?LPmX}dANR`v7EudFDzseHHp$Mr(ODg*!$|JDA)E~ zMHCxRNm1OQfHWdXNVpYHDT_`;Kw4T_L`6YhE7B<~HS|!!U;s)C(lLaBFcJg8&@gcB z7Yy9N`RA;&e(S8WzCS*e`~JIuzQ9C0nhd z9}BMLj*YQp`3De!+zbhJAJn#N-86#`l^l4Vei(tN>CTUQ6Yg{W7+Rlh>*IDSqSaf~ zfQx4R3p-^FnAX+#UA;~pG9Q|LT?-G5}} z?q$b_DLUQjeJQOBCr8k(?{4%JzK-;|jq{(MJ2bh;+C`_=8~e2_XwD_Cicyu3PQi1_ z?Ov*3hC7yLWb+*FpEVM-%GbSu-)l5q9%xTay!g&IqU7VE^==HF)l8BsXpZk069;V{ zDT-z7U(^OYP_(2M@ukOdPic-~bqxzN-hSvHtLY}k^U!!71AfDeh&g6ekr&$ zb=>Upc2n=%Ub(Ycv}$aa0_*r5>bn@f8;lz%`ZxD_KRFRyu7!Um^%hcYde&&-A!+#L7B*|sM zGB0GTP-RJ?;`>Nto#nOMKF1{_T2uypcrOrP(JGV>2><1UXY05e2CcUAgwg*?g|%X4+9==18)X-tkDn^mMaSfNvSz)pQ<%e&?hu$(k|Y*_?{ z5^TIvn~TuKnB{)mrGA{k4npO@BwvEl{sEB;H!i_QAa8qUeBJSpJ{JEdzjFao`e`#C zgYfMGXw>mbeOdmlW{gn}TQQ?{4~_RHbYaeH31Kajr>r>6fBPPPM_GZOJj&fl)sx{p z7V=hfOm%tckFn0<+A$;d93!66EFgMWQOZ4YhI%X=`+DBfQD4dZj#bGZwZ+ue8N>in zNm9X|tT7F>mj|7Fv80+vUGbqo!0?1TW~##;f{>Ov#vy2fppKI}o|@m||Essf$*RH{ z^=TxJ8~4ed<#n$_pQY=tCcPWM!7XX-?Ht60bVYqHw33t)Mb7uTGEw%XJkg2%%o#+k zuw1NogXq>$ZueO)ceRk{S(*Z{oe3oqfhcbIB(wI|gT=tsUB#S@QRtM(9oe=AGeNUZ zL4BK?h&Xr;4Ve3Am&DuT(fvhCDfxP6Mk=6Q#2LbIrB5w_y5+!<;XZ@Fj zZM${Gy;V=5xJPRA2`(t3qxmNmgWczX6a48_?d=uGTV`-zlYiet-~zsJ!%=rSJD7GL z$3_|(@S%5mQA%P#`UoGGVRQr799%IWdi<%;3sD*(IH-T#m^V<$c%09fAxy-bYoD=N zKqK)tP8ncA+|O`QO6}AmuP)vt+)S~n<&8(_ho$s5;F|TabWc%vZBMv*V3?ZM?=;xX zhdkZJ>RCEXglZg8vWX!}ddqCwvhLq}bQf<927Ga99tVD!+;5&Ni!tsp>5*a{S-Sxy zdxkz?q&*5l;n-#XwI>su$|)547|>E$A_5~uHX%gSbdBbc7o|1is<@GH=EB&?KL0`f zMzC6Xcwe}>Y0n7s6&gyTXPIAk2@58VnCFQ4A3$sS<>YTsKzN>C)+0vj*OrMS;NSYWC+eYA(%)kAA|I%Dgh$%v0F0)2Gp zk=L-P)C&i51btf;g+YxqTYi$*B1ffQ<@LCrT%kIiB(${qy6ePQX33~7)oEvwTvkh$ zz61EWxP#YA(HNq+cr{)B8K|7uLhROIsk`V(3hyb|Q+HH536% zhg~Ygx&;QFi!yu6?f=L!LXIn5(#wmcBEN20Ouxxs09tA@c&%!Ct_y0#l%Og{N;STwj@;$>9hMzW~7)Lnt`UPioW=_ z3DCnd@f@}INpY~cElW>j9IbY%F_!y=1lWq8mZ%ZnwGm84GKm#s@;N%9k<);qzvLtI zYBo9da z`7?k?-R9J_KC>ZPFo^yBk}LlCU*QkEQc5r?bT1YDoo;yFWlBn(nqJc;}`T2-%8%`Eq|{j^975d0Ug=z091);ioMvB$C)i zBb@=oB=o1`|h|M42PM! za8ZAs^xEZ3R4m)@xk)*6=e~8mn?V~M`f5LY^zV~iGXZ`(iY;4{GOBKctoPkt;UQUc z4*S|q_}f-{yxPYvC2Xh6_IADRmZ67-iXz3=+YVdyihzc*?1->3-*u=S`VxZ3DC7`*&pS zpBMPsVgKzsy`bTjQj_^`YQ1xBcpet{>Gk-VYp&iuPB#au-o4DH&&}5xtmZMCd&XB6 z%GbH~hcC;NZMeaB48PuBAv7Sb1g}2xKD*8hig^m7ow$_$$3MRH*YNzTARLV1kI;Iq zBSEAXVKjpmX6M!!Oiu=`EAE0c=a%1=_xDM7oPg1)IocnsGg#TvtsrKfd0z+9;J??> z07eVClD%ua!5Cp{g;{A|F|6|*$|@L*JMPwj^#&6>0%}Hv^XmVT2gyTO@apdJ!~FIh zh?zK?QEc(aN;OUGnM#IMs0vCa5*W*qa)DSN5tugYKe;uQybj{gY=8`1C}J)G-Cm+$ zC<`g1G9J7Pd7G?6iLo4}93=zdMHsU!DG@ z(<(#^(;sB1F%#WC=-U_e zoK1P$%Gt30Z8-(Jqx={zn$3ZEKoO;N+|V*r-M6(rzx+yLp?=!vVDqt}U3*#**uLlw zQG$CD9S;mE=3iYbf#q?AVF(mu&H!&apB`zEA2czocy&}+S1MuV!LgU z(0Ky`HWp!hdC3()jdZeME0d=cQ8X#s_~zmVvC+=$@7j0tEDoFwU$zHw%oR|<;1jTG z)xfUF@wTM#(;QEdYs^ZUFaG#)m_kVZia|WQ;BybCPpuDWs>(tjMPiO z*Sd8vN%aVgQGLFzP1ryiu6=d+d|BC2o)U$#*hD3(BjL0ZSC>ZQ3pZ39)VEVY;VnaE zlq;tB=Q4RbE^hrwJ)l}QM`pDSE+*IN_SRo*V$lj1nm8ciu#1-05?~< zqA1@sU&l=gBlpHqIJ7=L<3#=xRdCA(>yF+FJPuEr#W4x@`-87D;xi6&>r&?*{iym0 zYAO}5lXBQ5hw$6NNKLaX!1GU0Ro(0p&iR~{gS!MZ&r50+r;8j(0|TTE4MtaJP8Ef; zacsfAX?5EaVpZG#7~s-E%QL0|RgK104HwxH#@uF#2mP16`iJ?tpWz$b#4;;2|5kGG z?VCRJE10s}cV_7GF2|u_pVR>5#x0nXrUlO4Jnxfov=uVqn-h=a+n`r(lQ>uPo0B}_ z9oov(=02>LP63sf$)a5tb}7Al%EScmIx?BnM8IJ|O!L{5o(6fj8v7l*Ge6d(f4Z~; zhO!@BT@RGYE?g@x>!P~yvO8g|t5?@LlXndLN>1jBXW5yp?*i?{xv|u)U(XE!4Zj7w zh(&Qblb$JG+HJNi1PxWGcZ|=*nctn;EpqD<7IC4C{CY1H)VT}@674LV8pG*!?ao(W zwt7c12>5$rjJeJnt!G@K(+;>+nt$%tv11U1C%u(@OF!Y9t{AgBD>6qM zchIY_F*SpYz}gQtK~7Xwli9f6FRLi2b%J#1UYW~|rkCQ#F)$H?>GsfE#Wu9UYdJ+q zJ+ITCl;hhub6STehxXt_@O>+?cgVzA;%dgZlKglZxSuL3_mc-JTFP`dO+Wp8W6h2< z?c!6I&$}!yaH*u-4xWOfw2pIWRVc$#GX>z2`5JpBH;9_VR7d+%u0X#7h^`v>mM8e= zN0;K+#gB`V2bC-{{51nzAXUTH+2ZZAP5y-8xn9KlgL+V>`LSg(7HwI}gw8bneaYF;uU7(V~Ga^XY{Cfz|cM%0xmEfBkbh_canQJ4|1@l8?7 zQ6 zXI+%>xL9ug{UY+|+ts>WHRu)k%NkuNg71B=yRsQq3=y|nbTeCX6k&0RrvF3Nl08!> zDp)Esq!x}frL`N?D@3d2=m<$J6oy_mBbfQyRNfe!G?etNPbT{Gwy8|%z@K`p+71c`S}`XL$@e-3%_%K?QEI?0R%1`LmVd${fxW5DjFC4u z!52YdQVj0QP~p)r{nB4_D0$kYUcS>LSEvh$T#i?{LJ2`Gonv}oSxiXnK@^XlLii~m zqdviJ5F0ypUyIUG848`q8T0JgGW*d$S@_zn|>V>4CAWp1nfn zQ*QesClbAKmt$+#z&M-S8*<(`YIs5R1-runzWRN()3%-7?VP3V52XCY4zK9hmedLY z`{{tkM6K^fXYqXf>?KhS9aeVGydoXF?=@FfbwE^!%s2JQ2G{RfwsY&dg!Xh}X3tyo zdP|?EByS%)QO+Zy-%((tUj%$^4M<4FwwzWq9zc<3i~=?kxOYUl;H(oBs$Sgi7oWZW zpc8H9=mJ8Ku@hy*!5p5@KrYq9eTu?=xX!+1Q3MjKs^_m?x7d?)QW4Vy(UK|q7#x0X zRZ42!oPuNLc*k>GJ)Nw^%0A^SmOw}&MpLho=!hF*xf0Y#v_$*QOu_GJ@+qxdzVEuS zA*zpd&8sRj14vf6R+Xl5LTf}r>ToL8)?p372_X_iJ<>f&n`nK=_TyRNT#6ymVP*PW zH?(s2EB1!_OmR0&=0Utu!=>IMUKCS&On2%zU5)*UYas{9Uh-&FLWsbtx_o|*6` zM7PN}7NOJIsNmSkA2B?~c5@i+&+QIasNl`Yh_Nz|z1^7bjFOG!r^I>2S+4kyBH(fB zd-;qXx{R;N45D39=(3|7q=+8L*fWLr9t+m7;bZ(yLUws*eK+~iRMYEZE!Mnh?s4pR zp!MEyriAL|AL|C^`wZjZG#lc3e9iWEBuag~44a{nDMP{p1XDj4PYpHKN_$3)wHE54 z=5PxLYnuoL=4&Z|&uq=NTBrkRB}v!513ecI0af=p6qicXceXH9CD8OLg2|iyL#**O z-^puY9@zrnf;wU}RXcZAFy196;?$~X5dn+Z+0suR^6MH-w00~es-4m~m+U<)3|r#3 zqENn1IH@fD*Mt>WNmF|{4&;F8xAh70&pFrDxmmE${#?Fxf0%QoS&59_-)@LqR24Z) zm$3K!0gvN*??UtI#$&-+&n4hmC*d?rB|sD-bb`0)o=3P$d=L-z&(2)faUq_@(+`QT zo9w#W4btaP}oKgO7aM9p{&5BqTPyg3!m2KyI9cB>5&BF>!^+_IHw zo39c1&jMMvAHZA&*vcZ}LNsP2#5Z_BKMh z1j4UjR}9+-z<=bfc?XHf%b;3(*SJPLw*h+9s7kAj&li*uKJHi(LkJH?_^cz-2Tc2 zZxw_!TQWnd={*-H7G|$@R$Y-l6PJv~Zcwr@{=7gphTi3ugO$+QtL2-|wz6sUFGi&A zm8ET$&t9>ehCscDrP@gl`@?S44CJOF>Q&GvG@)5n@0TSpth=Knh&JR_Nl>kRJJGsQ zt*eo1_{1wB1S~IgTNx>SLc0y48}>zgdl1#%0buECotL0BaNgj(O}j6QyD=qJLZYsg zuulhR^gL2Q+9sC7am{pydD4`J%Zb?8vf;+Ft5elR0)`8(lvfNlkSl@vLdx4lTUT9! zK+qXoCUkvvm(2$d`|tGow@wt4hUb7+pX3H2w8a{Y&7s-Wc+Fe=X}jC}igujl^0e!x zG!y`Q$m+)So0z+y!^-a-ydJ)?vAZThCY?4t2*}u28O`VcKKmJR10T7e=0%e7Uko3) znGTOIcOt;aj%)+D4q!XeD5fj5m+;BTq2cR%?R|;TP{`0HbM*{WVf*_x8w%z7bgUYh z6GEq>HE|{-)2X#9Dt%sEP4-^d$krMYXPrr~S9xL0#p?MF9t&*_;b}mvm^2*ALBaGP z&27Ah00EPxs6szcs$vLwAv!-TXq&?iL(d- z=ZyOT872_{g)|w{3vPl?DktkaRS<=3lZXi|q)lFlMp$rNculo^|MwNyw8PM|aNm2x z=(il@RP%s*-f@pu(7*3HiDUAwkING&SLT;?Fk)x3Oic23vt?Jz(g$$35|YVt4uDoynaGy`=Ups5p&O2cPs@xGT2gNe>TOu2)0=XLXSr*!+V^cGVQp9ynHWt=GJ~wO{NVOQQ@8OO{%(wf2?U-vR4w(MxJ{jOCfx=(MTbSNu7yb%&pp>gpa2X;4pqv|8MHeVoiX3Adbd zjrEe~Hjfnz#eSnNq;Fqx?CP;R5S_uQ;Iq05b{X`W9@u3ZbY%Uw=dni#V%eK7IRoG! zi#vcG^HrKiwuD&TWcN%dnsE3txUIq6OVj8iq?iapPSu%8$-Pw#8?)wbWrvAS7?JL2dIb7G$bWUc*5`{=#o_B)^A`8`} z+Y<`Ucywk(7O&1zGpZCLOY{CspDTvfE-bT2(t_#kkO zB726NamEHCXtG2oQcH3?&$DT4V|XaXoI|r;zCfL2_vd5j+W;ob#nN zXsk3{P^&JoqRJgB`<=>(wUq^N^)s#*_W^Hu9S(|^iNriHc*VVy^tqS;YWAXQB^&=n zk86q|$IRO@|0qBAOuq;W`UWb=+1F7b>N$oAq!cXtLk3~Kqj;Lq}ov8IP3BtMahp?0f+I`|n{t1s$#3Lu`Mo4Bxfb z@3jE{HSfV&-49bBsS92b=UqLnmHnTE1NQy=m14)UVb0ZGX%F9U3}$W4yAEev>ZR1q zk7V@nbWa0-0HY=gD#bGh_EryjpyOJj%a+eEuV1TB_&YVlH7vj`PMTt;O>4O*HLEpI zR?ZCwS)(?T`44_ja^-~^XeHQ)Lv~}eOo))5IjicOJlO{#m zBT0c6a5=OwdU>m2B!^Dz#FbDf+V2v}AY^Zp#`k-vc7=Doa-HYG|83RN9P1Jf4M z%@ojzQ%Q2Z-v8>E0R9XHmpA*OKDzk5v!=EKpE2QpMZq74BWVl(JS8OXNUCY*PZYzE zf%tI7uryV8ARXNuhV)wId>%Bgm10GU`(4hBDrN?RrFbwwjiK&y)SF2j9Hf>JeIdD=g8Obgy+exFQv%G9@`9mq8WJ9x1C~LFM+iKNnpLC3-nkgrzCX|5?IGx zn#rt}z@kGESby?xZdxy=^c+T$`?LM&I)jyQBMGdB8rQe1ms2_h7>J+;*#LU|&+L?k z`W{GN?En-|0nj^mICJ^G?{y}@ekLvB(%S=!)ND)OJ3eEBM5LN9WJL#*#VH!fr| zY;DeEpQ`_U1WcuP814Dx|3?p!N?<3>kdlop6LM`v;?umvBhT}pV#z)X`rBUu5oC#t zZmL0aQJ9cvhgVODqfHS!i63JZ$^ns|2=-{H>#P@xn{XFse&S3(*poBT-5QN=-uyWa zrH(C5;r)3zo$7l>E*u?l4mY2Oipv5|neUR#+ef>OFDW>6Kt!oAMOkyX)2y>V022MK z0XP+e{iboKITb&*5{-boeg`rhB;gW(p*sV{JLJUC1;#IN#xDBFJZ`RCJ?o})2k>Rm z(Ta79+%9Gpmo7cxo<0Z+oJxp?KTLe5gVcBBTK88?kFzR0Ltj*~BQI#S7=QsSKkir~ zBwfr99gI6JF)ZR=ABw9){`Jx<+VVByi1kZvYvQ&sssp?!4InnkWS-F@y#taMvDaf9W}REqea?d|RbNP;W?NBNEs3lU$meENaE@mb-)= zcW^TBGyVr`Z9x$layA0eCHq6o# zN@)xdQb>E&LgAOocZ0<+QB+xf{TKroOpqIv?`>e}?O)4hC=bh5u^j__;~I;5$fJ|B zmTrRjDVTsFV6<*Tcp0?{ou-B+^U;`e5vjJ0c_6w|gl}|c(CnTF+VAN;&ixLdNsWZw zj_C??7}&Hcz1_do4j`lzn02IX``gI>Re zR_#ehnFOTPo(kgBP71eaSV1Xg0(=~5>XbG#p&bNo+XQP_`$Z8In4!8>#n%+UzNNKh zPW)1iEBjWR)(X9Qg^;Y>ZHYdmoq$9Mg{>WQr9QdO|+AKw<+w}3N`uzM+KJ_9X zg#^t>zjkNqo)Bp$hG;4YP;^+frW@7>{dJORVx^X!C8%>-4V-{Ztgk|QkrT2*=iB|s zm(;Et2)xxv(@ik+C-g*q8%ROQoj(D$)SuRjn)r2YLJZ)}RVQ~9 zocI>&!+Qy+8tYD6WwdC;TVgSobIk6*HE4kyJG~FzW!tDwt8nvjrVuRN-_JxgoQZ~| ze(qLu_L^fMguFVf{)DHe)qy&#Mxa6JQ8a;Yq;YeKwQ>Q3B=V`YilL-xB6Y-UTn%-A zJs}B6*4NQ#sv-qFGNRD@2hIDQzty$6wV)__M9TEhTY9$oNE9G~@`L8QbK-|THSaj# zPv? zR6`fv8;?Ohh~rDm=H6p(#w{DJIheKfkB!A^5A@H@dm7gtw5V!=G7igx(fsr7ndocS zghH&~F!gjJFE&FAyqN{Oo%0|y?^FYemPtclyx1eCOSF@TZe?j=;r5Oit?SI4qN?`g zr48(!$l77M`)fJ1sX-EsC07H@07A!|_KRj}aM$*0t( z!LIxEqUvX51FiENH=PSaGn|GwZ*s^+4TquJ3{pk&Qx&ng?epoWrlmtn=j>`#uN;(h zOU>v@Y2@R?$MjDKUAR3yZ|p-XFPzC3r6^pmENtZJL+p{`LJP_DQBCG4rUz7|OH(HO zb5oZVG#*~`yZZw5dH?WGGitwbrG4|@43{R>4&JM+pPVtrnbP;(ve{0{ZeH5pK(1El zmTf#blIB_3U`E_LFm__A?d~*RQK>dZI<3*k6Z^01U3(!9e>`{CVVTFlNj%$(X3aqs zq6KfE(ffFn3W0b@|76ifQ=vJ*1;VrgmG-~=oJDqeMe zpkJ92sR7}=aE+Wzx=3OF^r^@?*{VpLg~MBxV-N-GQ83%gZ zW+Lk>I>DG7Dj}LYI`{O&`6lTzMzKOjvnyjTP1Di)oPD{J#VoHB8&n5LqZ1>qR~%7_ zRIRV@KM-jorNpUg;D5lcP+v>}9~n%RJy1W_&KHjE#Fvvt`$B!vU-3p4j^=-YjLD@) zRWfYS$psMa3o(WsmNuZX!vv~R+?GCX=tgY-!G6u*P)$V z+pseF`*Kyi|4Kcr!c^%{)-5}Vz3!fgtxGnYqB`w&DcBqfHXT&?-GNZA*o>i{E-+pZu>BHk$UQ z_Y7MuPg~AtVs3RISNT@EHJ$BlPHEBc{)F9|Rqc{u6fZRn_eBH`8zxlA6g0CNG?L zI@mj!B0R4MsMSaIT)^)3EbQ{+7)PIS(54lc(L7|XO87uwXS|~bKf)#}Fg#1WzrP0YP{j4o;+f`s4h*xv3yWe>wPauf2wDgO`fSfEELZ5fPljR4THU1~Y zCaJ19c42*y3ZW}aPvND3m78ns({)bpt*>@3K0(4tI<~`wNM-XTYHQF%d`0Aj8(s%ny4f9^ zh!1Li=@u}9rBpmR$>`2O1D>>ZYlca_4%SdY$=p7F=VvU|@Bbh^Kw9GfxC5x*7P_WW zz>DM|0x<${2F?q++3&F3?CoDhvHgmCrZtHe7XF{ZwQ+Z@%_yPc%imC+tI{4wp7+&9wF${!4XL%s9$%3H>rKC{y-=m!I8phq_KAXI-tkWbHhT@B&S{n6f!IrQ2eD6@z@;ujV{3X#5e2Bi8OaoOyk91UVbC zZEFOX9TN7)(I|wf)RoGlrB*JaR7Mv8`{7e@5(^_pB~V@u+RzPh;_*l-5)m=A(pFQS zpxslqMweSHXwDmgzfI?|2Grx84BWLw;;AK;r5KD_&eTw->blw?m0eVc^I@$eY)C?2 z5I6^bn#=qW^j9}@YRQQT^b;8f$u+DEvjwuzB!o}M7+A7ub6YaB!x3iwH@2XE?jGh^ zvzrj-NV>PAr$o17&8W#zu*I8``z}}md{+)B*KA~29%o5{n$%Me=@xMXbe84Pu*4EL z>y2RS2OI({uPw?1TlddN{iVFRg6ccC1lH^kC(Rw7`b%n+0be046p6IGp9F~1@bQd2 zBT*`VBzEgpbvuUe^jwf-wmLsEbZiV@t6w(I{eD8}zMs(J@#ojfDOtXZ_5p2u6x2^2 zU)m*xArmcGOo9tUzajbVrD9-9LyY!d#2uOLabLCt42oRu-5w_gt@m!a_iFkm-)gnw42Ik<}2EJ{&e-88ffn%DdJaM&x_>jo~YhEG+w4 z3;gd7$-qPU@9a6&8!dniM*BbWNgm(RDZf5R?>U8O-5J+UpOGc?zyk-+k54SK-t2N( zJ0pg?Z6`Z_U9^bmp563Z`RmpLHG|MdDw@9)_46hF{G;p+Jmf{n7Wy&HKOfoP@d}x8 zb2IyIPQ~BDhmZED33U$q`l4hFy(pHywDZyrnfX}%-~yOjbBVsc;HvfJmmGh8+1fqk zmxWIxBxlnG{>!)h`0RTd{}lMOjK7xc$4~V9D9?D_@#ECILeSLvNJ?vg^_|;t)ro>} z^A^|c-pdj;jIWPL|MPeE$}Ur69A@^euJ}z7{cWg3O^B@6wnlgUI`;pZ5yK^T=(5(S zb@!|b*|XxMFYE5vWs1~C9UcGiMIW!}5kr$^w7LuLkVVD@T}-3Ou5W!ze3hK2VRUt8 zGs;QptQuDI8S8pyJP?ZV(w?fkS#QomP)nHUW_Lt(y@xpWecSn_>h`gfGC}1X1rCnQ zZyJ7H!H~@!XM4iMsm=at;t)V~^#%Q%%{LsmG=FKHe=cc=6Czu5 zA8!BKeylw{QZXeEr=C#BU$^FO3R(Bk?X>@L0)8B!ds2=tT7SCP`UQ4K{LGb>^XISr zujXA*ef|rAs?#KB)}b&jsA?yFA-XJnb5;H}1Cn}co!Ly! zL#yRTZtGE;>MX6fX8!I+?HOOyFiULo=3+JDqG+ODAkMBj67?oa4BNM~TkY0~K^NL` z=^2MZ(S@;0%odIom7}vyI-f3x>8X2Ixes{XEXJp0%vBxaG8i^)A|4raA`=;fFr!%1 zGcd1N!=$si%*99ZV>omJmTK&ZcP_XM@{PPr)N`hw-GRV%0uTMc)RW>baA{-gv+7XP z!j@aHBU!!FYVGD!%-Myas->|4xKPyl&PTfrRPDbJZ~n##!WXPWP5UHBUPzQ1C{-^A`4%(|(oN%4#f!-MN8PQEu z91a=Tgr_edBf(paWxj@UX@)@dvqs=>2uUY$idNvn#+IP`m1koRIYlMwn_IpxNIf7z<8oQc%c;Gsg++@w zF0QnZrKXV{#|TmOI2lqe8A&lbo#!<&8>aTt*x@rHC{@t*wwP%o>y3 z%^lC9nSV>Xg5!yTsID~b2Cbv1Lf>@QtGJF(VHlH)F+}?-?>xAfTUawxdas%-$I=Q<$4PT0{VT1s#}WI zDcD{STS96EKoUxes&x#=a^X^4l-?Z=u8`Wv4%yyV*|;y}4Rf5MrRmCtyO zGNkm5)qi@<({&U6i#Ku9#kZJ;qpDR{!baI0#leYh_{xEf7sK9Mpg|uYjJ6#@tG2r+ zkB1KX1zOXnSfp}x5Jwm3+5@X^l%}&qqK_oa+PJh|v2MN5GI zw_0w^0DxxT7(V^{X^YMfs6L5m!9T$u*e;)p=?;hjAgQV#9!bv(WiD&KR7TM{oWIOG z>|ey)(j!V;sv7$PZ#31YI8JE`58%e)0L0uhN5z_PPYc2c$>nwVJrG6??KP_b=88fD z={;qyj`Hjk-OFd)4X!brw(=AZkR=w67MZHg852t)T!=^`(u_ZyzrOTpP;#GdRB2Gx z0Vk}7dvNm7Q6sXb3YUVp-6ZLXftlA0hzLh|{9zcY{d79ZX1o9Fg5-ze zZkOBOGwBWfs5%r)WNx&+nOyAFXQ`EuN)8S{SuK)@yv}|_e{JzFrs0_9J#DhIk`0nL zqW&dKQrIMZsz=HFvU}!NL11&5&54sNXp19hU)ecGZO_>sz7qYKuTgLY_6&owa}s=4 z*RxioViG|^m}&@Q|C>qjLu_0L7J3@kAn zr1sP?^y&m5qo#FMSi)3xy;H$&1^c}ZMZx$_L+IDP@Jql$eL41P5(@uZ!+i+nz&Ph$ z>ulvliavzB;D6dDsR@;y6WI&jokG(_$kF{8{!O;Abgg~!H%oBfBDlJw>-efm|8nlX zA9Ma0IQ|3)$_;-%gliVACIE~`#}speV}Bc9%>fH>hNZV*q1dqI-+pb(>hIutHhezQ zoS(gpSzCjFu?nd-Zdfz^-#?9X6p}$`GvMV6C}WY!sBKcbVD=WS%CwJndWP86;!`SrNE*j^7s@QFet!={Oyoo9Y5 zLYX^=!Fh=ArZ=5aDr6up4gSxnu?Q*M&+JcNeFwVV&TcZiS7|gDw;&I-F*3 zjPxSu%rWv{^wQw-lPh^;ghWm*Xh!qf4(zubgEfM6Bj_i;0SiLZHj1qZX5^7v!0|2JNV7AfYBdo+#0dm@19}Sxew7OZ3))fN%!gQT zN-9#*-tMG1GzC#Cp1erkHEVmA-*kn?GKa3Q>SxfGUlKMh_)05+PH_TSu?P)MPcGFA zd0>QXY@m^4ewGhC#8*nkpm>_QoG}4u6YB&m1fv0{IFkTGUN(%f+DjS0-%bp@u=8fv z+5x5XG9j0z$EvyJHeJ?5W|tfeo#*%gqiI*WAF0ppp3X-LQEk<{2u-X%3_?C#(WzRq z`*|!0s?V1AweP&%JP64|3-c3`!w?+~T54UM*F8rB0uDlg`vThCbTkKQ)#CvfYVcvn z%HZY~lu#s)aSvYcce*}o{&^T|VYLF>_O*AVCIzC5m*zcln7XQdDt&%xSPj{<{+~JR zG1m%4BW@;UvvlF13SiF64STD2M_2I^&5x}x~Po@n~!CyI?0uy#Q^ zx^#44iQ8fyixRrq$yAUCHtZ>c$-&j%1~`0kTMryIyB4yR7o_Y6Txx0NwMYj31d6D$ z!he=SrO|4x+qrI~ghBUY4nhZkI8EkIY*Bde3<*`^COtT%xzxw9EKHu#UAA)$2rivW zsKv+R)7#dbr$V>VK6us|Zc%hx+7SV94dhTeKu|pcgITMi0M`DM8mFYqb^M1g+2Em$ z#Pj|nc0V?$f}e??5q#=Lb|5UD0X@2_?E2;3J~blTp`B| z9|2}PV<7S$j2v?@ng<|v!55X}6|k_J&cyS{`}8GcHrp3oYOLKy`R!k+hp2J4^tkr_ z_>8hnWN%+qX?hxG4I@Ch6y<&fxPYzG8*UJ2AG6+ic_$cJY@S#__D}ISw^uhH(6=$? zT40)-L>LElZ;$}L4s%Mu%DHI&~(&tS`D;)eY4s9jM7&77z_u2&OYbfrttF%Wl^3?+U zHLC9}9n>#)f4rA>>6EHS`N0E2!qV-1x_-tY0!^-qvxiCn?Pte#Xpn3TJrF`ut9yE$ z9Ui%UNeXd2uE*>wyyBo4D>=JWuioL|jZ(qjSKd06^(@@1r|*W3g44{*o8Nc3QfFL5 z&FzFHvL$rorVg4hk_D53DUxki*AY6PnWtkUx)wf5uWyKI$B2qOs1FH@6r~zUnU8IE zG_41y2A}w_dL2^;2DkAIaN=bax}NL+;Nfi(aj|iLzMq{(g9w}~+vLCKVvVF(5PZDr z7giR=dD%+v^|+Ao=1nBp18KV0Qb%e1SH7~H9HMjrYS+-lopYR~ms?$U&`VB%k`75Z zg8qGXMwTX;9TzX+{Ka%JL;0$6l~>p!D|y0EIM*VAO?-XifOU`mTdPii>n*q7=bFpV zfmiruf>~E!y9M(ck7km=M7T}36(MzGe259(hf~EB1*wR@y@W;y)#X*z`An5Pk+{V` zb7w#i;If~d=t*6?(vp&BCEPMKR$oABPPK4u9u^*oClx^E-{_ERD2rELfqrt@TL>$i zdNdSAGL`uZ5R}AXE^6V( zso42cBw5-k@=(dCA)o=$WKl=~$|Mw@UUPf<1q=Swqw3)|$AS09ljnE9M$IbFL zah(G|uw+T$>hW~5pE`oX`f2+cnxP_+hy>)_I3xcYo{r2qcP5F0kPFzlNoe;`82RNQ zd*t=`_Q&qusN6qxTYi+^X@;cy2jM?DdK31`5N06?AcqhGP!T(HmO-Ax%yGY+zAqt& zl!II)Fc!I<;=yo6l{YyW7@Tp)O3^G0!d=&Y`#2RxP=91es~Sev|LVPng)iRGxf3Ei zNFmt%V*##?S4w+Bncr%?7UR&z_%+V;)y0s#v|0Qxej;X~k$BnS2FHoBxgwE7MM8dG z1b|7AOx~_Wd*0J1X&j(Rt@8jW6clG&P!hPpR_?d=*5M_K6d-c6zJgDcEI7Hn z7#r@lAoi(&Sv)&_0rKy9%Wb2h)GGCK*XJ;QA`&6FYt&-L3f6YXVt@H%2YiC0+EL+7 z>rD^dItrmj7X^$$SbD_J#HG&$56rkb`jKN6%VL4R8>NSBN<{$t7+%L-0`Zja4{ksr z%)&Xxpv7!h1bXUGyUVA1fi{5CGUzJyse1)PK}cxR0})c*?4v9>IZfL%5O$6qHr%Ms zm%DbbOdS$LN4S*7oNeFuCN_IlO7tk7vS&Vvp{vUWe?H^FM257lI7DyyZdI#~bKkB8b0QnT*P6!G>jbgDhTyYh5o@qLy?KeMNHSxGO!t>U+2%zg2 z9lbZcvD$rN#`iJpvrb#Eaqh1Vo50{7LKXUR)g&#~UwDBtOB#7jAI#Npzw_6}mZ>gxf9s{lPNx^236oIJLF=jt*uJ3z$%3Y%LHo-;=1x-e zp*>?yO!AI@N>Fw~ePk)IytDa5+f9)kg()hz4gQ%=R!|a}XNU+y;^51(Ul-3Yd0d&6 zA44K%uDP8D-=N&4Qi-|#!o838qc^2nJJskPYE)bT9%iJ#ag8%n#tk-3Vmw?;nv6A9 z^9Xox55goq-P_dRTps!bRITcQD>ifm4CjQxOq5%Q;F~^k`q>-Stg)P>V*Xqeqg>E~>X%>wCOMFJF-R>nfG6RH98lVfO32I91;bI!r^w% z%j$UKmvVaDh+fBsR?VL+mj)~o5hPT?GzLh(JMaeqY)5qb4Rrt@!WCsB-$dM61ld2=1XnG60hj#(03PU3Rf~K+1`$#Dz zR6xl=DJ9rZVWMJ{#0M)oE7eb-8d+$`G>Mv!7hauf$hj4dP-LgG^v}d)hyeIZtSVo@ zehgNGKE=~WP}Ux4F4-}rDG1eX)D1|5o|}xGmU!FP&T60(;E1$qQ75{m+j{Fj_qF+4 zK#xri-Jsg4Um0BT0;E&SwBIy2m?F@b9h%I1M_&RLcG@n-B5QyqLP~-;yn^~Pu<9wBB>GLBj z?2)!t=a)yic64etM)EHO`s~?Db3SS-jRQ*V&sW1Sk>5^;l2np3EPYaN_*4@|+z8bluwQ>XXxXy>fCS=GYh1y=(>QM z8Hi&~Y4+sRiPTj&O?O+pu`2hb{i9oD61*sCz{YC5ERFM*5Pg@gvDVGyZ=!rk=qREfCDN&m1qc{)i-e?fb40)-lr8~9K)Sn>loAB#5)Memp_^|# zILg8Kz4Lz8cYS}1mzQ(SK6^j=iM8%^-}i!^xn3&___$Vh&rWnBD{Dtvgn#C`PV0w& z*s^QI3c9)WLTX5g$kI>ch@$+hS8BoG>7+8~ku}=W?+%H4s~~B*Q)X%+el4s*J_SeXwt475LjQtURu51oCx^%xda`o=+^atPH&*XYQ10x|mO%3>^A`^#Iw=fB7FDc4{Ve zGf?>=c1kq7hj3S7VWNTeI+p}fUXSFqSAd7*h0nl4jM>va#T&1G{eWl(p#)i`yW-{l z8b5wESUWQg#|ZvUKZSn55K$d6Z^k|SA2+{)z<1~7JxAr_NwNLBXK92@`?`$b@BP1j zx&A7_DWaA4oLsKI{~x>qLzH0$`TvUx(c10mh0-ovW~XU2yUldJaNk#-H>~WI-~E{m zo_*~gTPBF7KpfK9f&J(>pTQiC3 z-E9;Lr(Ll6j}V&k;tx6v#ZW7uhMOI@27wWj5fR#xsi~=n5aY7s22YodxN)+|{%s@T z#CnLGZmjR~0UEpuIk44#AufJ5k*ZaFah18@FsHUl%A|yhzs-SVccW89m#HfFQ7HVru z(BE5=3Z}350HMaMVW4-aKr6*UGH%clOsy{ziL65ZN>Vu5wEth-4l^M?_l3p6g#xy* zj22am)?^Kt3!A$$xWM;5J>fy*ed@*@B(*OApi-tO<=nP~C%QmHO=>Bn_S9u-rZ~Mh zQ=dXyjBH21tg?uBX0VQQFvLu<6*}3(hMrYUy>}gmg(SsL7(Ig2jqG44HU;9G{k3#o z_3+1UHsB#n-P0oA0p5l%B;e$6gX}v4Pmle~gT7~sk0Fv2f;M!Vy%1ZFAni4^aDHw* z9cC3bm67DYVgT)@a8daH?lRPEs5#JQu^x&i*owa@d`xTOP-|U7QPB zLb>zn$v+REol10)NRZv^*8AB;frJB_=$QG%@VHY%-hY^QvB3{Qr_((z4zcV(y-Ii? zjw|`}>V$WjSYi>VwR#6dHf&foKuAO*LE(4L>)O_I_`@lY0_JO#(Ew=2D!_1 zEcCwZPu!cozC3DH$I=PfE3drj#0{7$bvG!G=t^s*?H5&NbA@*?stdL{IQ;b&-s`Yc z3!fgaR;e%FNpi>qg|EHH3?&=n8>7!p3lBc13E=2OU3y0NyDw~?zK$@)^TBbi@TSN* z)lfTe@#5ZMG_!K9e?$;Xsm@;R+*Pc|x+X6ui{f%`+>fx}+fGRvA!nzHudBU@fBpBe zX#B8gyRd10VtpS0P-b_-`_YLjZbZltYa&2xecGR)gMMRr7P|5gA>L}`+Cem3T_r$BEe zZbSdJ7fjz@{Zgri3lY$U9kX9w8Z`5Mg#7nP5YGSreU;nQ2)26w9<#2V4r7`c4ezor zhu2`OQvn;85?MN3(5ihc&_dXIjFK4tnRJU_=C9N?ZF|F~(W*kWBldtc?m@Fs9`N-W z1u5`epMdxFIUbH|NIdrPTY|?F5pphA1e}x_&i?$jYf>U>=3g@R;k{2dCX?V->hB%{=E)Oy$RWt0=^U<(B=7 zgo;%{J4F(2KElxi8>j(i_6UB+@$%qME2T>e?>U}m$=5U71e;@PFA1 zGMZ$2aTWAzM>AocKGdAB?Q9oa*aLfwanI9Vz!Nm9>^?M9MO^$P;_4GpAa&;`JuQ#h zg>7=4V;$CHlnPZgzUhH?l)&c?kx-LnQp@A;M|&|%RPF}Z1T^=6nYghevZ3>|?yy1m zG!$D7J%1)gii{gv4Vm%3a;%;f7IoJb(zkeLzq&4wx&5OD4eze^LZ|4;8+#`Jw7wyu z25c_mpI-7k*f?}W0aD;##lm9zVG#{SOJsTcDE=yRx`K9QYY_Okpsn<%?a&*v@3^NQ zpK0wadGZ9wP0fmEx8K#jm)Z`3>uAS>VF^wFhTC7I9Z!W}yUcl34%ub zX_~(3Hq=GBkyq9xMks$!uqfm85_jWdHa@48)|@sXR?(#EpfGpOH`uqR4I?id8#$uc6PoJNvKj}P(o{w`-*-*s=&ckf z^@(95GggG;q(rPrIAGB0NeT{J$_OKF$~?6eYB)d1+Eo7Pv;X?4y9syR_%OeBhk^wI zmL_{SxBs|v^9Gj$jgOz?r&z|N8yWiq!|beeG+Z)gvA0 z3R&e%6AQ{2YXQD&p;oo46VC=BsjwfjE~kDTPnXLRAxZ5UnYCjbzco7ljWebB;7ARo z>P)l?pV@Z`4?0e532SIvvZtdd{;0**o4qLUECFQSv<+r%Nbu?S@A5XbSJfljx%KWR zL#$)@RHRnkPv+*ejPYk`dz!u{ylt00ld0V-!y0NX)I}p_P%=GGUCkBw#sTO5JpJ;e zoqoL5vqN8wub0G|Rk$DVmmGOM zo}yX7&ElaQ+L0pFC&lTfUEWkP*`uAFpi~VfQgi5VVYcGh>-rj;I_I3*?w)1?i;cmR z_&Y-7&Ni>V7g~-^MwL6)4(nh)ei!VH4J-<_gx^yt!lZQ*mpdz*%ZTKe>Ex!1uN7vt zsyIcY=D0MFto!BdMdi8Gt3BY4a1j1Wy?7WWRt!F2B4fZJb3M;oz(y9v&{o6nd4y4C z9!qHE=#>))lh?N?RP`BioJv!aPKLk-fFxpbEFl2;@Kxg?s2q}Ip!VAa~f=8Jal8O zsv{oMX~N_q?uoRMZMJtu&6O2C4`+|uSDFrpxAn5|8XcJCnMq4QV^taY9wX!cFJm$a zUiI3vF}=b_r_p!2=sWh2BWHb++SASRYgvohc^j4*1}*cjRk3Wea#^7r2~U|F65p-F ze;GeJV_SWrqGN2@jtlNZ(oUC{$nkYg%GmCToyW9&2D8KzdAx|}6o zJ)Y50+z=_Qf95Yv<4DKnyZz3&4a1L_JjLvIt)_}uo13a)PU`15VrzIZ5r?gyQmLdi zR#*eHg^NOJ{o9qk=W=9RqfF`4QZbH!=VPYF!=?>m=C~ZAxZ^OIT{x-)Cnu-3?5YlP zO=NWul5E4-eRf7|se0>liKhMTA(zNcNqp+EWKKtI0PGlfKfoWOqBTc6o=zPYg=uVz5@q zX^9iMClh5IH@??48rDUV&dFgvzA@SLb>;QTNbhxFz3PHpnmsN*{l1iPX7u}Hjian$q&}agSiqP@D2>~H=@-L zI;qv8zGWH!PA~-1vYn7*<-l#2jmWd8wVi7*b{Ma+l?G_@{=ShC(Z-u zJzHsu7I~9d5 zP;2#-c0JljQVjKE5@~4YeN8@H_ojv&9O=EFCp>MSlTcc8krvKLdHsZp;$24!$TGWa zM<4XRy80MgAvi|KhVkAU*|GZL5Hjrl80WVYRqr6sB5Xf*ftQ_~44K`(Wk;Rl9wTej zm)y3qLk}8n@K9#{7E?_^JT&h}ueSs5nbsKV8+6F#>HQDkWkq9)vl}6XPl_ZVMSNi35bDJD1hG z1)&|QcK{rz{kL2M|CMdt7z?>>8>I_kBv}LJ<2ixIL^ie3A2-g= z!2ZBuNkl#{Z)H}}HA;0eysr0#hZbrxeDn*t1}h07;_R{^vJrzD_%sRpSBJ(;{ZT#N zzs4Cqz$609>gdJS2{GG7`M0k~kn!){_JG^Qn2>1iai>=adZXxBAli8ToSxf2USkC; zG>o#rIfJA_cH5W3MF7`biJ;H;RsVn}dYw|YjZh5^# z+veO+^TuaEnd#2e?un3q}4SV)q-OWV10CgOVGCQ{I{cO89 z6*FW5?{-;28_43K*X2!Unptb)k}l?RkL zmD^Eo)Ca%`q8v9aFGs{Ix4S;uyE9q9i)|(zWXHdW^y}eT^Me!jC!UnoEgfM2bIi{q=SM{QXl- z&arU0vnzVx<_j(cmU=18_l|nvxnTzXOvl&cQvzm#V@(p_J^-}eV&aNQfXq@EV)Nc7 zBC8tKb4_wDJdh=F3G_*!Ky`hxmf##^gebys8WZygovt+@e4H}@k{Jw~#{}@7x4w+v zHO-~Nq?Wkr$Iow#nb5KNRN`XjO5zIcAruGp9^sBpMoQ$4Jbq@116vpJY~~!npK)yjS^} z>izldxb&hKmiI?5L{~_cJNvF&!@s}Oor>HS0#vj%#&SS+UILZ4ApQFHHzSHskDK6Q zHCa=a=$EClp`(0>f6?jy*=|oMp}9M}8>=%V$l0~-*1{;*?U)S=kOT51@Oh(J)c*jdWXaFAJ;Xy;_2;B7?8|wieWo z&xa{Vna>;70eM**};=wI{a&+X(LeKykHGHrpMk=!hEGWG-3uI_Fxk02A$f){Dkjn8*^$@ zky-j!#7w?J874p-#wTyY2VGOl$Xz(3LS71d571qeM?@qjC`Hqvn-lgwx1itbg)IiDf(+Yp9nR0(j!^_*o_wm z)+0E3&f*PD-NDEMudwlr*2zQl0=03L4fqDT%r-eqy2#m#`zaY!c6HAH)=zRfN+QNy zl-yJhS_o^jrE0l)#l~2{V%R?#pC$=#e5C(*3ShPq=>_!n0l3ve>EQTbsNYTeL5IM$ULBvpS*F z-h_aS)#Pqsx7L@pmwO@dtEMdk3dQ%(GPIpOR$Cj9(}1GVIL%IV=Y4y~T`HN$;^H%3ve*a&F3M$@5Iks#m2q9G^tBdfge``# z6NMz;t8nCeVB51y`;psWdw>x`@2#PoSfL}~2u2ZgooaO+uxC-wW&+RZ2~-FuBAfDX z^K)+oJU_=WuN|$Tc|b|d#yB_B7W>?LrdGMZq%0NcFSXjTH}A*_ zl8QGe_{5aE&+<`hJUphF)9Ds@OQeiHwcXpXt}GyEuHvYBsqehr*E4PFfPj4AmNm0q zl~93t+c z?k=1BF3XCuDuan&$DdjBBja9QNQ z8BV>~CLpptv4=TzL@KI<#%{XRw%Hx{1!D5wl6QCIFThgH|C(Z^c zEIX>}oNLZA4a$5XM7Fw&4QlKic$$nY3*`n3hoFkEyzV`j<)r9tdBRFaxyQhjQnp)diFL4%m+ktaDMBD|V^vyd5|JnR9-Y4#Jza;cXbJ z1-DV|oIxZTmIW~IEe9osbmKvTD~E^qm2PV1dSrJc+D=JWWg^p& z)otc$o0z)>zre?JLM~&_GOKW~>hPV8OjE7%c4~khVqIix+ko3vQs+3I*7;7|wg*lg zs=hk6!<@ya>vNtWyClUaf9t%O==D{DBB<`3@(wNx&0kLHzMipKsv`7}VYdrz5scSF ztSr=*+43SP#@f zN7KeyBba2*e{bNUocV+o1JV+dblkk2>tQ|c4FGyMA3@0GkrKhn+xhb0jr;?~SILZn zmv}HUJi{uzz@eq{X&!Uw_w~fFX~wE}*?5mO(S_Az0a?WrR03xVKr7P=c7XfRv}>7c zI-(bAO027!h8ufq76(wTcyw?MykN?Gp5_;TzU=yF8$J;30uagRCHuvLcNo0gc8jN8 z!z;FjUvctKh7CU{$9%Zqt+WVq)ONY;l@!5R|Cc#TJk@2>- zdMUWmrYi!xvc_4CN)L*~*rJl0&V66f7h3+YY16OT`1&|cd6CcKICVf+(6;-$jg+ii z!(z(<>jUd}VFK=)bsft$8NVdnqU*6j0}N!v&oSvdY7Ck4*O~X!!`7nh?(_xV3K7 zV=UMzA4WsUZTUF5$P=d1e9f}GUd3e8fbDr^R_w=*dc%_umY%zJU!AoSTNY|zDGF{r zM_0p7n%1s-!&WwM+`2AfdSMUt+k08@ozuX6xM-{o3Nq-W&ICRbxyUXQHHr{0NuTT#*fG z&LFukP`7h@P#7ky!q`3?SZ5z4jp1U3a(3(~r6!v`(ZBdEP-FN2g_VmFE>tepqiYG0 zX#u2*UH1_?vvCe}>b%TzmbgTqeHX=$yA0coxHA_%3F5mD;K9rvwSncX&J3NEl^~1S zt%~DhT&tj-E2Z&-(gugrnUVmym6#(vX4nc(Hru)~`6CKmo!KTV4s~VRnbQKN z0Sun;WbM0mnZKL&S;MD<+#|z-{VA1`^#ODpuk$Ue&KW0+0v3!D5%3~+!KEFuacrg$ zKZiMC5?O@t9*Algb>{&jz1r}eK&V-5$jKLU!;^u$WX~txNV4KOuZMM{jMpwlL|*y) z#(bkZ02piC6p2@$bhY6}^8N@^zHpg(VK{aDq8E*8+Jf?Dz1D@#(b;z}j?PqCCocl& zOE$@U_mTTnB5u3Wy6F{I-B(pL1m)xP1m(wGbyo4Sx$pKCt5xEmi{Dskt5ntPpZQ|V zex@yd&T2hB-$qMTrUBfoZu?9E%k*q}qPAvtzRl&fz9u~E60 zJ$&7{+uuvyn2vp+Y9RjRI6mGqbbSZ*0`_C5pvlfHL@C^Jvl5DsP*mjIS%pXgz0=if zYzA_QOP(8xo)3V;Ns(IC@pUz9V+OOQBSAS3j@U2bJ)vOk`n-unA@$wRp=+S1(k#=g z(t4V8M@*8}ulmRWgK=Zv>gX3EUGd1)aXkJ{c+n=Aab?u4nP%(33mDOZU$elKQ2`UL z^-Z`Xl z1)S3o(8r<)dQco~Z^nqIXrVHVN0} zdOKQjA4-KMTA}>vvbgGD{i5lX`0P`MS5|Eh1Y8OslVE+VCw^`hKKW|a^C9k=fWv*k zMGseeGrQcY;Sqpj(mifJ(FQiIB|y!T<(-0F!=w99cx^}}@uoxKt_rj~$19hXy zu6f8P0&{f!oPZ2h1FCKNQM?Gj!4Xt;GxK$)72rl*#!N~$ob#Cer+sV%O)5H@Fc`L*sW+@cT_taH|+gg06Us?K`}TQ8b*MP?6*DIl8eYoR^Ml zz317-fFA8yzQ4MN>qQMo7ZJh)k1Q%iZB~ma!aZ zC%=dK${U%oV;)4ednNU3(~sL;55KK>8v9X|U%Yh72OwNvry{T!(LOc>JZlS`xZtBQ z`TU6g_Id5BayGk_UEM&n{}cF)vl4;l7_2N*Gh{voamBUA=h#DwN2P2)eax~rUW;HH zt(S+ROF(l?4sDg5bf)dpXBw*u3~uvN9Q6ys!z$Lv*y+yGjd^k^fW_cb0!un{LmGN52P4qZ0HLp*;$pFjU1 z9SKu{>CL?@lxHh6{`r}DQUaE|GF<@^piPrQ^ytB^^EqS+bfM9&W#WFm-+EtyP`)p| zU4MbCp5ifp?g{Q({)G!b^=ttFHH#1#yP^&V`9RL^g*}G2+MkUSROTdzK34LCv~I1x zMJ_>+vKx}!WY{{BfwcJmDDWaDWJtUn36^})ttDb1L=*x zXp$w~P!O4q?LidX%=^o*b==Pe;m9VNKsM?T-rxY%$OU*(f{6^%uc-omiKPU_ZZBe- zQee??q=H;xs-tI}`>cHOv3S5;UDp6rlroxTivlT2$tLU^z-w|>V*~PNDpWXScU)b( z81x(Hjw*cR%BT zgTeXUpqdpVkNIm3vh^Aam<~~m_W&YWjJAiDn2B%XQi2DxKZhvzRN$YQghb~4@D{D+ zp6KF@By|u0ZQwCwXx(*e9MK)pfzOtwy8?pW)9oHdaG7tBz4`IAt0K!cHM;iT4>pl` z7+h{)?%7lP%h{sKA;^uI-gOh%-S1|yKp6x*6Ie1|A3f9hfYY)6ib z+x9;q^FX+&zs1uB_*eBpS9SAtCTEm9ORxd$0#wq43|fa_z7~CSJqJ7X7MUSCmI|?iawdZyrj%j1DNSS zuPfD|Ol%c;V@S31_PiX~A(K}8Z3x)Z@S0ToiST&zPRCE7a1RK|2~U>?{MGiO3Aec1 zQlxqf>`B*1Mok8wnfg9xY}rx_9CC`!P}GnyxH0XJHK%;W+9$`L~vDP0~Q!gGK~0fMH7 zPvW(bfDx|049iI6>*0%dBc^_B4=S}ocj$c>92JIx$N?lSuIY#^dBTJDZL-RJEil#~ zg)RdYkp|mqjiS5Jihi23jgY;n5Uxq?auf48giix7D3+0@FmF3eP&~Phr!)DqRC9To zP8e-7@c81p8h)!HLPVYS?t}|oA??FU3hK5>St&T?HUUe(qe+o?iq&Tpip!$;AdE80 zqI3W<5oZbNz@gmO^f+*5+ZS>;!yIGohKTEg$^0r#Y_6}(qla@s55LGRN-;D<>B8|4 z*2EMLI8JrKUY_%;c(^gTqW`THq9H)nL8+2=*S()NV6Wuw8-^aNB2SPszXC%%&^kxovFy(7VIxNtA{Kz?j*5}l=suAHbT5d(lxApNhAl)R<3gDAm<3vox zsh^Z7X^t0EY;^zn{w4T6Y?t`X%tP@gHSuRrI)s9*D>ohO=q-U^S)`1=|=!*M-Snwcp@L^N`ohiEPi!ofB$t%k*VF zQNUImcSkMCv({M0_f=2Nvli=au9>yNVKJ{&#UdkT(rxqZ9Lbv#lKcFYa!^_}u)xvC z-^^e@82eFnWL~aKVY0whDbTUbvUki-}fQutZ%fV<2NrsBe!o zd(7;-Es$7&@d|&w_RyaSlu;5Jn~YyDG-U7OeMqlwJ(yaq>5pQv;Kkuq}SeOK5{1(Uhu9HB+bsfLD3Vsm+QC_K_pd`!J? z#+h7S#lZIX8P>Q$RMXpJV>@I( z!0P&gnC<(5(FSOz{yi-TCIeXgfl&xMgXUK*%7z>-KP2Qe~E#=Nj*}*tH!NttGoS$>FeZIH}-|*8A4EXvUQxMq0_>s;lj$qKs;|c1t?eHsV;ngv zS>ZeI(j!h;AQhZsB_bULs^Yn!Xyg-D1Yhv|@?ynpw_Qq05WQK!WU%S0lRdW+P8TV6 z4UCAF%NYN-`eFDbk)kAJp(Vk}7SpA;IWa%~4At1sTlW5@-_o?!COXxE3g=dnB$({iNq)&q}a~c0U ziN4`&VN6cuz|7a_AdjrJftG{f=ZvGVRi;DD*>6?&GvDc$3dI>#3Pv`^u@rqx@oi}5 zzCeA1o^cr%6Fn|Sa-kk~D)5E~} zRg}*)zwem#rbTRxf`mtgNumxBF!Ilh~2G>&8+)KHP zIyj#_4RKx1%r7iR9qQVf_D8}B9|j;)P^nldUqah-5*yQy?bb_ z{|>PPC=Xzyo==X$WkW7y%o-;QN^cens`;8|Bb6i>iGfj3UVu?12}ahP(%R0j?mb%%4W4(t_wKmvZy96l~^h%gn~3mIptRp zbm@iA^ch-StRCxxu(TI&r+on5%!CUbMA1XI-DY5Tm)*=NO!ZehEouxY(Y!3?86Hp3 z>CJKW{H9trxxEu06aa!x%4cgW@t6VBf4QvkW4{TmIRYgb2N3LgFZDMuY%-jdPXt8g z@DIaJWV*wIy^T^Lw9pZF!DTT>RjljLD71Or-vj!@Mg?Z03UPZWa0z<8bZ>hsJ`cjv z%nF5VeB<|5QS<`!fDLMd*udh?eKZB`GPafZO()Bh+*P3z-*nG+dlLx7vvADbRWHL2 zj>2~!VrRLMqbiJU;G0NBqDinMdjJW#e+@nT@^aC}!p8nhsb3{y*wJRdDZG{dU%h=! z1>X?>817OKK{_<+;n8FsiV6{&80C8(r1=?StI3evT~MfSJ50VA2`m(CtX*D7HDbwy zJofvk{m~MEUez1Dq!`{!g;3J^ND{(OUQ}g6r*1O~4{DCLr@Ig|V0&48tcFcyuLU>+ z;%O7>p`7wjawINz3w=PUaD+gj1oQnoqDev1KcQauV;^S8AES`I0kko#FP4tjQgW%i zKy0&bhYH4_zHz;VYA*)yVkk=cOJ;5rXAml92x+;&iOg91SXBB6ibcbK2zH@&wNYg4 z_M-8|c+oyF4CJsESI=Y|1vBVKuS*gL@7Oi21jt(W`E44=WA(yt^YaREcsa=qf;pn} zdyl4EsZ@!Eb@rAI5=9v^2azty6)np+W(-+CdaIFE%groSZR|$F72AJLGrnVcQ1u!l z17mJ^irXT;7oy^!7vx94y%~wr0gmuW>4JsA&Hi1urxyp$+p_jI5{5Ngi>n}H~hKHJ!_?K201cTt-!2aeJV2G2e@&D?n1FEiJ9D9Rm7!T z8VqA=_wS(w{yxH`LVISn=T`qS%ZU^fH{zff?S?3~7_h)EOeNNg9UF`E8z-#hdIioL z=Q%^2#9b3~)Xip-&;h9@BWc=i+0*|{WUCX8xp9Pmwy1@Y|&`#fZtnLWzx_{R@u z$Kk->c#76Ha*OJP=AA@9lE#H+Z#uLf8eTO^mJ6^(?d#VA*kLBIL%Ha}N;jNNPc|zD zD_xUx=~CO-*yghER@2t?@No=LKT&aGj-VuS;3V|Msjcbp4*1+I2D?-WI*=J9BUa(5 zd8RJm^J?W#5}uHa^k$UW5A?1F6MU{nwCisSfLcK=S${{+aX>b$ln z&g-5_?35BtXm43``)Doj1w=$C?U(wuRaTr>(RS$NG33m?3GmDQ%aMb+ioo#oF$2P7 zP>AXGKln}H;E4ndx)sED=ZjM!rS1|ZQC{W%!M2~m-)G>QU?&8T$NrC!E%$z=`oDc( zb6JDPAPih|lH4KT9`Phy@Xd8vd+3{=YB#V-eZPd?3_Fnh(jwKi;<1*N?~fdK{!P`_Dhw zwt3?R2=EI-GBBzI?Ph)dF&M|BpFpvWzy9d<6L$Ok!Lvz_fy>)7yeabg>vq%viBt$ z`fIarMP2)&aP{ZUdl8+3^RP*&atjlEC_1>ahK}nEDR|W$Kn%PoB|gAPu3gm zynhc;oIM?_RXxO_NWq#vRs5iW)~f#$gZF?ZHOF5(7eIgKcn%#1l`0G^N#OVJ06O0J zbo%>dL%rj1Ag7M@xF7!B>Qo4(2~evYC0EA&ngGkP@KT*s@}M}-*{_ywn)Edl$r~8E z*MVQcxoHN0Eq7=3O-M|i#B8i+AaouGZ492!okj*22#luW)@Z+6oc1p|%H6IT;bo)w zO9-Jg!IpuA%I6v1v)hh42LPXR1zQ&wb9VizF3u*PdVTIZ@UuvxLrldcGDA}WtjkpM zZyBS&YjLW#7xBCi1L7&><}$$fPwFu1GrgdCAVy-|KQjs)hS(f&FW$zj0U?PTc)te_ zZqVub9C^gRFxfp#GRZ-^yvS;ahzp{`Qgw7hQfwSyCc4~=xZ=wBnKxocHWb;J76Z-}mS@VgpAJQ(n4*f2=Yro$2{B^`88@VC_I^QX(3m9bF&smjR?7J_9Fh`#wuQam4O4;)hh4#l;}mM5 zn6qk9JavM8=^Ba&ZWfrBvUhu(XGQoW&hOo@;N{)hs$L(+P(5SKgC3Rq-2;BasmJOi zoKiT8?xbW#rq$uub%}Bjl*Cn@tW$SdRQ_l!qppl7UJt9+=`3KpH?16R8#>W@XL$Bru^s8cR`%`yA*d^G2)+vAdKCshx_~h%sBW!E? zak>lV+Fep5yf+K#G1zBT#*k*>=wUp~1W6uN-4yuuuH%Zb$T+E(lN5`{(JEynJYcYv z4EP(xw6AURH|UV9+Dgwz^xGs-gh`bC;tt*kWP9}k%azfgIH+s508=~rK|eZ1i*1|5 z@|$!WZIH){9PS1btitZhjlyK1g`SwkF1$CXF(9c@#I-Kke_ZrdyL)(;f$u($8WS|P zZF|NLg7B07TG+77?uKpFVzv(@z+fyc%bObXtZ*^@gEeIjESOgUtim%%LD)UMt1VR! z>X)E;vm|RCtucKNrck{m8+fu51D=0&-jX9LmmjPPqrYoc;Ym-wX{rQp$XiWA{5@X% zG-UMqBfFdN0`xT`qx2|5!iV1X8YPcix0DaXEUYHdZHZd2ow&v#lmu-Z#g@tnAX`Ry zebf8kMPr02OsH&8f_y?RWL@k+$$rd#XgzcudvG(yeOs_tA&s4=~#l>g%U<(DYC=|zR?eq{7cGP>m3KYke% za5@Rqr=OSD7cSBmd)h+C?}Ff@5b*Vtk@7fI4X^?E#r#L9K@8<9$Z=k}nP+$8Udg9& zhJK2Dgt{5xvWFEafSS(HEtaB{k2m3B6@VH4ryOXFd_?B7&XHH;IKQ0gCvx7V%2 z_Gx6y%EaVW%c!{jEgRV6c%^(ft?JYBgjd;mOJ_gDiUfwb6)0iF$~$7`tdEQ?cC}V% zLCs799H{igC=u-RaPca4rOtZPLQ87bHRX(uj>?(Lpv7FSM7_Jl=cQPRW@K*5t)57m zJ&2KWv$E7JZ@8uwIqGTXIhm(@w$?39S#Vr1OKE9MDbao20%U6S*6gEW`u&`VzCAsg z&){IxJbl=Iz)M1^r4b;k8e4loUI62yM-FgSuD`b|02tV`!6BHf!K0(TY_E_eDJV8oO`w;PQBJI+b%X3JPj z^pUx8gSMf+rm5C|E2lw~jg{|M{D6M~?6{Ocp+!x)$KUK^HaR!}sTP~h(WIkpavPEU z{e+tWhCJ*uTH`Z87|T9XW1WI#OpjaCFhW@yu)Oy{_gAW7uzFLR!8|UHJB>Azic>(2 zs>zTX@2gU*rMeY^-9>rl_?zZ)aC5CSfXlZx?=cU|`+>{vsMN92=6?T~7ANw!@leWp zF***Z80=kJ7V!kFy>r>IDK~;LtK*upV=H@fL*vczzL-sU2!CBI{^&-kYZlm zLI}}{VeZKp9?*bjMFS$cc%}_>93XXR>~s{T7A;lMa{TT%e2Bv8Ow7Zhrub>Bq;W+MBRDq{?*@u$8jNZ zdM(g{D^6&5L3uUQvu@h3#fwr-B!4iqUAB_jA@NR?TJ?HsQLW%)-{9S8t14>o{GAS~ zj=C+ks`wl|OU(pw%&YAZ{nlBUGVcYCDAX}=t|>?-j>Vs=q9tEwYM2+(YU{}soi5Oa zQI;P)>^sLNT|N0wLF+4`#mff1rX$rZqpbK`S&@CR<5rz56fl+w!aQPVu^+8pe3k7! z#nlyc>oJFv$f{A0k$%j0{JekFk;YWK2TE8iD27ce`70k)U8UkW>8Uuk{u~v(0^h+* z+_%_U{Vdn3M>Z6fdE(rz5PW7zgJlF+0xz={qo!#?(yg17`3V8X@}cJRBU)TN#wGa( zb;js@d1-$Ph2o7Bgywb55YyZAzv?uR62$#|qoN}2h`s^@>*r6~;cBIJkAG%B?#&EV zr8*q40v7^gu2eqS2x+~hjB0I7=e7+GXWv~K z-Z*Bc{n|t{plIiV)J{D?u`-(K_pk}ZpYuvN*>dC=^Lq3}u-_YZ(+7g94Cc^DmegkN z6rMg*sfYz@sJqvr7_n8+j71f&-`Kiu5WmWwQ;ZlWuY3-g67H_rTp6nq4!-MdPkV}L z_3TcVlx^G@Dqm1$F2c+VDl98kM)P2~K#H*HS-jX55OVJ+NBK;&!p1APNj{3Y*Rwga zyD!$-I$9Q(Tn!gfJ6awpf^%f|jMNU;w3@Jt>#jqvSh6!;>ZX7*5p=4m!7@U_TnOW^zpA45Oby z6?@bX(kreX#r^zo>M6eP-&IrQ(WB?+B$&92yR4_&qtv;l9lTa)^KY>$OnSy+X`aQw z+ce?`vXJ$;P7lln4dYd-(dInd|3|qb z+sq0xXmf*-vwAaMRblxN?#qR}eY6F9Nc%$L)401#pU;E!>02dMP-&!<9Tqd#R3xnT zH3>T>{e9E*9WUQuI1)pSx_LiBF5>#3N8PgA#U#}aF;&W6@BYrP)Dm&HjR7A831ZWJ^Q-MHH#hi5x*i6L}XKqJPY&YZ!4+8=Tx`jbb<&IxL?c?X@ z7VMTk{7HKDs0~E;RLyC!P(jEnPJ}W^MzZQ;6+(FtJ&Iz#NdL=A#XLnzwbIok{Me6R z=zP03$JGR~)kzOFE&r?Z4(UTV&M3KPTebX^heA*r9tMx!W3#^ir!Mlkt^HR5!S1t} zUv+>G#g61E>eR9sHyT9Cp;_|)YW;`2KoUSo)jXvn-vUjhBqSp~GXY9obcqIT}-bDj+00ynLditAf z3csEv3%gE_$t)P~NbV>oVq3bc`6?COUAQ4aIo@^u(hDsAPrZOJ8#^m*+|oEpn&fA#gka^hTj8Ao9p6AQ0#wrY&46My4}=XJLI#4ZlRCNczc9qvv=5&gjg;d$=0Ux6suLQr zqpCtqhdE>coC{}*z_IZ}JlI+ELanPd> z$iIv{^oDwxMOgsUiV{Ep- zo2IWx_5;kluddP&LqD&*fCw2*Fsh7!+}l*{yJ1S%pL^n2YDNi z{L&6%I@3?bdx7yr(in9^d@|8SK)5cMQv7$DahcNpZ#LsiPX9NXajmrVZ@WcK=M{Z< z{ZmYEDW7Fzb!nyq<)ERk`oX%?X&_djAq00h4y0Mtwfz&x- zm1)w<$+(j@(v+lPLujZtRdVnV_gfDJImH)o_S1@Zz-gWlBIw2Cx=E7E}I(Y$yzj6QTNiM*X z?34em){JCB7EZ4Uy8pnD4{`k%?oU|EO+G1aGvFfKFpBE?wfVwd>N$2`6Ft7f1&GQK zFPp;E&AJhvGKnr3QgxJz*&aEP9^w19vm)2TztG^js_pL{JHx6 zL2=kAc0$|x)AP$@_sz;ya;(1bVJ^9-auS>Sik8(qqE4uDP8{L<_-jnlnYu)UzhnGe;L{Z@Cx{a-ra)wKVGAr{pkhpZ=AXQ z)Q-Ai2IT2_XdovED8rQc_%N5FMK31>1S`A>#D_A7zW$}&Df7ZFAKe->KY&iEUu~7` z{%h#c(a?3R(MbJ12exhxE(B$f47!#dR$~9YL--e`<1A1Xxn@;V{vY#dFPGD+O9>y_ z#ee=*eb=T7KgWlkQXjZ)C};F!n}{uydv07_TATlQz&=jiw9PPB`$ybiMFKfh-pW<; zf4_yTe+goO1rZanXDjyk_szpSoFdB0!~BicrELrO`)3w~$3U~X);p4}uo}bX2tuP9 zeskS=h_L#YO{`wjW=GvSwnvXeZu1;o08`kN?Fw zCa}1$kLP&hJ#DYRvy9%xp}SAnbR0#_-+KQ;vL8 zv-wP$_p58Z<91PS5b!7m{~Wj!F1sV~SiFqK__l}Hb|;(P`t;@xS{J_f^B1rD{@~j` z3)kZ(()ZOA*giVjKLnRBJuSLhV?VR|%m2$Tyq5{LNjQ>9OK_j~ym6>Xkhaa3SYcGT z%o%OFz?hWXWlis{lM9Uft?KL%_{oXDGH4*>&tenpKpKB?b=L#8HKhbt9eTdn)`X8g z>V5)kd=i$ZDP!5cT)v%?hp79F4Cy7V_QrSw$##Kip8{(4y`>Nh!f)>Gwr``2uyG6ObFuKE9mvM-N^a_#>= zt+Y{zB1=V-EoBSYDrA>p?2;sVM#$KbmJ=cSzGTmubqoz@vF{8rgR(P*!jS#fSarg7iV zJ44GaRZhvWlnB)2ji-6gz1_JjNN&6(Ub<7Vp!kl)1>whm#*^35YtqhVFdClbFdh>Z z6%`C{UY;9W38_osxCyzJetl)<-1nX<$|owB6@nUT4_%xTQ*Y!GIyk82YE-H4LJgtZ z=>Q0Ai0AY3dyd<*xo3<#I%)aj1>Z;>Zyr;r?V^Ssdn83`QZ&md&GV@~2<}L=uPxFO zrg&B2O-_frg_s#9nbu>5DdXLF}*E4Y3#nCU-!&dRe(T!8%uHSt1EtIR*&irrj zvAT4ylPJ!Iyw=mz?t5ghq~%*brEi*s&Q~8$bnLS0@{C$Z$W9QY<{zT)e4ug!N&mx( zxAjKKJ=<<1A9YgZIUSD>7!f=k;D{mu`I(Mi$gY$=0(-!^GxQ4!0WA}<{_MQt z@jj_G!v+LHv6xCNzyIyBe!=ahmL|CjWVRVM(!6ziCR5~$_!%+0vqq$#@nsINdmQ0n zbPT98%11$)u(Ihn?r7rT`G*ScZ~7!H3EL@8N}x+tR2y>)ST|NgLaMM=_rR4HKpml3+d`{G(Bg^!9ppt{?-um=P&-( z!=QBr4AefI{v%BP$0q%10+S}TH~Z7cE&pkre3JLR!j175S;b4{p)rMkM>Sgd+Qz; z8tr#^Q%=YC%TBgsZuhVZth&3rdV4K>`jF4NJ&8c?C|9UXN_z1>#Zuc@5ZnO76sUU2fit-?W-TiG<5`p)=24Vjz(Y=@pd3-Ny~-wiM`P6m!o z0{&w^|Km%z-h+eP$u(mC{Cu<{Hy>FZ94j88J^t(VKHilj-5D|dWp~B-quX}Qoz%(= z=+tg&8BGy<(ZMHY?=I~p=DeKB9_~;2;nUEl?}z;HgZhxha)uUc`^WwHZTm7~lCMye zv(m`_xU;KF@N*ZKkN>X)F@*)0H*~!k_#Z3qA79Gd@fi!o-rDi&v7kMDAD)8HL;fj8 zb=Ld8HZ5z*Hv5sMw_YLt;#YjM{x^wXjK40`uf~1LR3?3gm1mOK_1k}ao&K_>XF?FS zl4aMhwRr#SjBI^R>mj@@$ISPFHnNG#=9&}m0cqZWh@b=KWI6ezD8m*at@G@sAEF#N zq-NH4DK#7Y`hapt=XVxfdhWN{>o}W#-a1PAuf=TN`HiK;N-%YHbyS;dfw-D?M-|@6Gi&z=}2ke=jG6h^05mkBHv7K0%wi z^zZg)?$lq`cYAYX=;~kVCzq6oobc=OAP4yhrl$S-C3urlb|OkJFMramm=LR!tPcr^X*iz5FM(mT=Ulvx(UwzRQ7 zPweuQUq1EOWB_{*coXOhlAEH1Yx}N1Id>Fza|KI{__cqbR|8?eL# zBMpO=Zs>dFWjM8&2;KiGhXX_uMcECAMn(a}j83;jHV$;(A{6bnT{X+Y; zF0t>%?(YBCBi?`SQSObQUoyF*d&nN?4R>Z}x|Vj0(@hD}@Ew4jcU6&|=KJn^(^)ko zwym2!XYHoP@%Lp3{r9rGVSn+)O zN}dB#su2)pF}Ppou-Q79!FxY8{LR|Pwfyy3oU_zXF8k%fBL+!suT@RWzsaslaO#&o zcvIvY#4a881I-yP=^Ub)Yfum1_*@-ibN3X*dwXwf-14vm%fIgaDiU}oJd4kd`757q zI#f5u$~$9TiesS#&iy@@+XkOlF>M?xzo)2XIOoFs-0MgF2+omJ+1=Q|8N9TzQ znP_T$vS!{|_Utq@Ti?IEdLs&dozpq(=b!#oA2i{=(&yHNVz5R>+@4;I~{PGcb#UOS8%r1*41SN?6u!kosr@S0V1QAZTYf>6~c|!8b z=HjPI-+fA}$wu*H0Jn?q4@14${Woyua~K{>t5m3KBzIi*jl`Mrgo)M zJ1@ZbrhOAd$3FhzxRZ=tYpn zc(0#hP`ILEOk-}#$?jBn_P%K|t zYEFw$=gUhnUmgE*MG_!~qZZYO<)S!N1s;rB5pF=z$0(Q!Dg3Q-PPH0Fr7FuPENZ!A z$Plqf=!)GM-qOKD!lCuM1Z<|mfps&bw)34?*-7Ro-s`XecOXqnuyRuf$nIO=Z&f_u z?{uajb?ctKIO<|XJ>G_Bcr?y+v_z9O&@yG`In>|q1k}Y7Ka~^&HU!}C4Y>^C9xXIB zoeMn-IOG0y2VGD9mF}+|LcQm#rK3WK8)fPNe0tIYIQ2@;Gt1&XW(t2Sxd6Pe{^yV3 z+{Z4n1I931SoMT=0U9qn0CO+xW;=iTNu2k_^6OHk{3A;R!vl#@-RNN;S<{=K`+&?) zpb^|Gk#YXewVSt~O3(oV?NCNoD_8y`I z1LVo1%C^qn^hG{AT1HR#xdrzgu4TMfy=Uy5Yy6)XPGJ2};|gcbkNYaTnH&lawLI9Z z1=?>q_`PSQznb(&v%9z(pF`fOsxua5#(#5s5FhI&T=|Tc+(>LW*RN5xA3xv-Z8F#4 zU6wGM%%}N4H?!J<2&$Qh&*vQ7dP1Jw3k+AD?GFZV%*rP1+3Ah-)kYwAeJ4zg>rnlj zT6o`G4{L9n+!|99bb~_R=vkqXPpf$85WQh&viRONx3Q43j+0JFB4X}svi4mVvWYv# z2C6wAb+_|NDJ*q;dgDhmehP4@k5FZ!nf%$+3W!V+OG5qmUNg0BFAZ)( zwMM|d%FDlt>1U&fYJZ`+$M%^e`>ci0&goEsjla< z>1o{IV?PI-;^=id_Ex=|uO4C7VJKztTN97ssuFgRIW~y9-)pp(Kb~*eLbHCkM7>j9 z&o_28!gnV0opl8|-_VA}Y|GXX_CHt#|MwwhEJxU3;F9H~z(bz2Zz_DX$QFQUa-1&D z^L#MTRz3gx9OdfylX-wK%1QNYds4O_Ju-9R=33eCocH%Go$AT}>Jx8hZ&u={>Ij8p z0;yY8@3ZGigHzL8Z$dMCwFaFK?n(<(fqiFzxl&N%*;(8oh3G!ugn1mELFzu&3~;Le zfL#}T*fi-Pc7N*Mqp$iN`j_FB!t248<1Ch@FMYU*l)Yvp?DjF8GhsEOug{s|nC`26L3Zlc+Y#%`S+F+<}*)&&~2jk4lt$4%Odhzl#k?RGRGr8&<C#9>Ei|eY9X~JeN?TJUV0FdO`PIuwhF5YpRs1K$A2Z9Tb}3nNdLF zERwbZrMgR2xq92)Ez7m*bJL~2y`4$d|MI{2*QcV;zl4oiJCQG3x%eM6FKL1JfmZqvR#HSq;8}> zG~Q~n4kDa$AkB)t%K@{tEe{1aw^rf*E4ZCN0;i~LP`e8SCh&`frVvD4u|=ME z#V_3%sS7T&@0YZRFp=)9^7eLjtS1A6<1|Q@=oNH68 zPzqJ7KiJ^&?{MPL^7iIt`gRiS=D7EU5@`9J0$!1l9D@=SVAZ<>{1s&g=P%?Mv2_cR zoui-w8F^YYLhtFlp1gQOIDv8B0wAvIp-*k>$Yy+OYXb<|-){fq0Med#W$we(^7eJM;sG%5;#5q{+; zL4`6N=Nh{ zO^f2w*XWxI#Y|_%@Rmr=`OUX?Ay>4?9!#8`j1FrIG2Xnh(B|+Fztb%^mAA9nJ@OYA`J@$FDQxCJ2p?%YR!1qe?W&`^)y_c@ z%TGL7d6ZEPAsO?Oa!~AI_mva-e9}}S zYcRcHc74BlZ7Y0^Br6b}Q|g;cs8hv&CA?T`inWgiZOsqSE!F^k7b~!rw&CzzU!isj zJfKYGm{4^!SYq8XMN!4y@W9?^G1c{Err)imr1Lu8oJ!Uw?4}(lyPM4z;;1;4hGdvDy&=%EE(6jnuoVWabgFEit zIqr*RSZ--rJ|TNdV5wzsQ!goj&E&m4&)Z0eaX3 zLk~%*y~n;COFK3d01wg><_sVvkn8(%|hPW zP>T$5^yt|6>IUb7E@y+{Xd(QRM!wBvQP^PDLIV#P`NK_?gY@%l7W(uZ8L;VXN!$B^ ze}FI0Pa_ZDD-ig&j;iFt@3(MZxkmsDH<#l+=($u6gsmq*Ff`3lhJp6ZNjZDV*DdEe z51znwYKOf0e+ETLV_XsjPLXmDiFtu5LVrxS4!j$s* z(;GNM^d1U7xT_?Ia)_xApOR)?8#pRfG-mU$3YbXz$XAUsQ5UA1Xeh5OTN4Tay44#R zjn{yJR0O~N5Nnko);@txG=A6Fpr#m6)ykhk`^GbYO!w)2){AXmt*$28Nx04!jelRs z{sgGL#%MZWZ2@fdsHHS6w`#7(bXTqDME+iCbmEM>)I5baR5qR=y#cI;FE)~U*caB* zXDf1^LpUH`98f@G7l~P#vD3V}C~01^U(;Q`aoiyShle^}d$z<7%L8xVl}WaAUBTri zZtBymd;vi09ZlMmcl|B#Qto4E(yuf4fgd1s{4IEuL+d`8-M*Xit}yu#Zi2@s?B#1D z1s*xW$N9?V(Q1VY>+^9Bp_o(SzH#)5jZqyXa7IMmh&-Q{&!>a8G)U-19DM{TYute? zjvnljV9}hHOr0=oBY}TD;85n`^XW{V4L}#?PjH;2AoYkspo;tg%eFyr@D7E6#l)5$ zu3s#Uw)cLZ>uZ1QodX(SK^Bm876R5>waRP#>gL0{gWST?l_WCYAZ-f`Ry+KWYmU2v*`Mj8PJy*1dE3j>p1>Li zXDe@yC%Y6+Rb70}msj>-zIF-ZgTDN(ahD<#FKiijqYL3C*5+|Kyqr=E0}5>26f?^E z;$ioRw%3by2tBDo7+`1^0ZgWIV7~XAz?GMc{7!~aBEzf;sy|_HOuC}Wh~DXQzGccz zZo%@2Q<@oTFgj>~OdNWqrlKd{RSJj2|MX%Qhz$a|>f>%2tt@AIhm|~skuZggwdM<0 zn5Pq#TF^70&VNWGx(>Kmj>R|4k2UkXAS1IRsTyNk=xb7z>n4(Hqe>>qpVI2@LonR{ z+_j@4Ph|#m9HiJS>MmeYKGm1Qt9Xzqg(*2E!I8r~V%)Nv)bmmLGo&jiYZn1JVD~uU zzRZLUxMcDnq@O;gLM({OW2~(SW?b(}L>ld}b4jg*6%Z5T(mhSu z_ZT1$ch|4a0zur7b@LpT)HKm3)>xK%wf>lia~%VoOUC3N_gIHYH!gPk6rvRznw?j! z0%SGUZ44>}y)S&XtT&=qA`OE`E;do(_SQ%%zhZa29rl^qaQfJ*H;y=) zSMZS#^aHN%RI?ve3seuVa!wI}M@!ai} z;;p;hh~dPppBhv94{m?(lJVeD`r;#oP5FiUgS0D3}b>Crj)zXFo3?=6XFyV(ge3c%EE+U|2~am?1ou zIMg2Ly!ett?+u(2u>r;(uUA57;Air={-FB%uC?=`c_)m~QrAwex^3;iF2XS!TWZMq zrL6~hZ2gi%r)>s3{F{e`Z~?*+V%W2G`Gz0k9JiL_v2`GPTb?#Q-w zv0f0(OJZr{g;;Zc)`78;uXgw#wRK1_>=d$=s=LPrA>Me;fRouVj)W+AFFUCe`FwkL z*5MIQhYwt{6?W$cH&G94=D^B$YbP=CnUA}Spc^ZRbH+e4&OA#Dir?PmQhHxm;xTEF@`2}zVDp%Wn8 zx-Dy~=TMJ9tyD{rqcaYSaTR+26V0h0xd(Y`A($*%t6}|jVziTxn#`eU_<|%bA&vyii z1PslbFawY~A-n+ury9|sHW5J9e8I^dVhm;QX1Ny;AF&MdW2b71KQkHXp$@ZyR$xmh zj0y%Lstqj<1UR{Cn9>AAHxSa`Lb#a3=brJyQxtt5DckAjx*@?=ra0ie=?VHHg`ycy zAG~mj?d9 zM7?G(@moMjHz&pAArNYEVLxWa#1M~Tj(v#q6+LwCp%1V(>7#=CAsC$lMw_rOtbWnm zjtW-?3E&#C=zVLZp=4a|x2L6zcx!6324kZY0F#PRKPOKf<+-Iox~=AaDnOz?e$ZP|MeJ;5(fs-IIw-OZ<*TZrg zN6CF{ApOo=*`*=1wB1-cbSNu>-3n`k?RU!^9&!0OU(G$}@+fTa(NBeF#U!7dFniD4 z7i~@t(6xh}Vu^GsW)EtZE$bjKvp<*jv#-PkB>_$G+`tche9!dCZhzj}D!^aDiAHEH zD@GA_2T{3m1eqdFFEuS>DcMj5!ZI`(kCvyOm*d)%fGZP{oaV_GHR#06dbPB(aTwfQ4iF zI;YiV9g6f(l=0YUEY+p~nA|QA+Ou@{3Z%w|=f1O^7sVO>jY;x&6x0dUNj;0o&vVdH6Ve%pu6-_%$2%HcgRqbLWg)6`WY@TZ37U9A zS?$EFBsqgbrR)AJ%eUU@;hc1!I*nf&+!ne51#0xD#75agjw9rE#@;!`jf1y_Rsy3U zXBp)O)%ypx4bNr9eXdr8c;5MJ&t0;FhCyPLTRmifs`E2yZ?Ge zis=JjmuKFp{Xr#8N2(?6zz)TQhcjigt9fI#z&3*A(~I?is;Kt1yF=<8KK$)A60 zWH_>stAkGIpVFvfEq3092e)>w#1rj4QP%I1yvz`(q$Q{ui#nT^WY^hXx9Q%}&lGhe za#i}Mr8Kh5G~yeq9d3&UGhX0Zh4KjlPV%czR$DijDLv6x#)}^x%Bg)f;-Y0NM87R` z=i2O-RGFaUh%ZpM*<@?0sw(aqupU%jcbt5{Qs5|~$2;3Ms9(!f=lj# z_Zmg!AnOW#=aHYe*e}vZY8iIzn4j|@MO@YO@gLHW&q?XN zLKlxl8_I2?*j7xY$L55PpT95>MRb%9uaetx(k^bHGHDJx zGo&vD;sTXk>nruZo|luoe*vY_r~d}Uu`oL*i>6)KmjlwkFJzu;J!hB3bQN=~zSpmb zxN1D5>}T@Yia6z&LXEUuOyV*1-F+YgRDv`Xx|3HogF%sBsMGcqI=Jd?df~DsBU3*+=|xL@^tg~%~g{Hmrbgd_BJo` z&l?13+Gl^Lfr|yWYu@E2v+|;{_=i=pwoH!bU_E8ZJ0;!stx;p$+J`-eLas)}AmCEW zo%ioPIdP5=Xso|o+M$(ys!KkfyOVfjLgyJ!f+_K$f=V0)2d2V0G%l~|zJQ6bB1wMH zXVz6s^O2fTlFsgIrC;tIXNEw?JG`wE9`}y%luitSd|-8IIzIDa3;wjMkI9=vet!ToY7Q4{Wgq{Y%p%9w{iM+R?3*qNtk-(f~|P_I>} zSH$a7#7B|_9&)6p`+f%KUY-x9O4Wk4arF^GVbBxJE43wDVGPjo!KYJY=yrIsFEZoRRn?zPZ$%R@(TZ0UFPXtp`+?C@x5Ecd8VAb(YbrC~1*eSeGc& zewXnm_?GzMOYf8dEP1n8vzR=Y9MklJiiv~^NgJd3BU(|JMZfcDB7tiZ|Lyo^M?o2* z@>*6%j`KaLXKT8b#5kDf$nL6x>Vk~9`j?JndFgvE(+^ja;%GyTb2^A z2#WdZ<-gvw5d9d*;&c=#3!R1vip<64Gl<05I|u|@>{O1PGvOD$+w|66mYJ%XxL81y zaD~CtSC>FTWeyld^{{ltRbF^#*UFRVS$n9+6tcw6ufC)4t^>hfHw`M<#t(!3k!k{F z>TJ7V%9PWt#sfgcTKSSg)&$DnmbvbrlN$+L?y$0jhgLOrt&Jm`G%=NL*sr6{G(*-X z*vxQ)d|{GR5bMn#ojej0;ZNeu_nnI+G3{B6|1`1`_kwyX%%SPZZ$1aMr&n606g#DR z!FOpCs9{kE#G;2g$$qt~1}=4ySS zh!e4^tn2+JOtDkbX5R>r?uo;iFvJ%3wrA_+7E1OkNO)ngTdF{~s+-37CQbiFR(4*Y z{m#tP|hC0@{m}A*8temZC z!wK0|?9>sh5F~?`d3Qcnu)o0KynTq0^m2-eLW^DK)Or6)bdu@H-05SbQ0O3creYq{ ze!jS!cIUpR#f039cwwsh(*_>qSmUB}LK+)NH$UA?^CU!LW;>AsTeIGE?wReCM0Y5Hr> zBu!-L$>yRiyQ#;B6eQf3n7MZ8Ut!Z}6nzaN>TtpGzI!UhE5i-eeMf@I&~;s;K&iYW zkMn7QzPB51C+uN&94%S-9Dl{}Gn1>)hSB-g?Ca+(r0pIn8!e|qI3lH=U867eP>&rs z3Qf-wdhf%QY>g;Jad!EBpBW=(_-1+^B+gWal|QHr8!bBv7tntx}u426VbHwLM z43~x)IH-Kq_OV()`Xdf$<}tT!!xt zU=k1s&=t+#4uT}+29l<%b{l{XiPc9bEKU&`%SR`WD8)7fB`K)) z_Weo*>R{hT;Bq<*{l>j7h4ac5^c-vN);d(hXh*tS(yxjcI)tM891m3t#xU{pE(-!)_C{3pkI zZ6Fe0hx!xqX4w}SVKPKD*ap&-Rfk$2FP1Xv^@*q+PBLs_2b;TrB3 z?qZ0Q(pY-f?K~Oy`N@wQ>5!(^m^rA#@s6r>JL{h<<&UtK48F6GX%UQ;YQ!|1a`?z9 ztjcf$F&VrB%LuC8S;2^tkL2FUb**tk@i4Y6v2>-L>W&IegXxS+P8z@|& z(v0d0+4(+?nkdq|HuU{*nRbHFb;U?_UG$lE8{dY8#OM+IcMl7SCZGoqieRl;9)tzk z({Q)&l?>h&~hc;;hi-xeXXdnS=fHu~czGk9&CR@OaB|{(I zgl7Z@a$ORNXT;)Y zRYN#zh*N9+^J36KGMM9=8qBqpP?RR#Y_REfh?sTWx@1ao9#4@3$4z{uM3|yU&tX)W zT3um4){#heX6!L%8zB?gZFt^U;4bj>071b+o?eOW_n?ylc+YE)oN-}}Yp^Y#4q!OG zL%ILTLPX;A-TfNa9)uwzxZ0N{vLE<>Mw3mO9!vmOdcxB$`#^as5^g0ED}koFWlB;8 zIwH$6u2qH|%Nea~(||$HS%j>j+&a3$Pt`YwCHBVGN5TB$3n$`kLVxz|m`j{n?u(nn zq`a^meM}Uz(-{rpaK^>&x=E+8DV{SK;XMZ8Bc;4TC)&!khxZNg%La8=k0+NpT76Dq zJ}O$Oq90>ntn0^DZ-F#pl{fo&>(>OZvnp=6#5+_Iah#nRpIF~CTK~Ac433TBB%AxL zyN}PnUi?60Va`)IbJ|PL@X#F}1nvSs%LKRdrUdDV)LWjbi{a3lxGeVN4ufU1y=#Xu zPd(A0iqf=CIGN3Hu??`|?jqlvH`bP0)<7J!nmJ!A8Oz8fflf7Y?RVC#O~h|Nb=}%n z;U}CTVv#jQR5VZMX?>R9$4^X4k|Qn;uA|+3^}}3v%h8^OPwH)?FEhdJ&DW0f@>*PF zf>$JgD>9ha?mQpUW6*JG)MX*YV&BdVM%vDeyVL~Hl6YabTy&_8@v|2KGtPCCiR6*R z-NG$2cpO9b$B{LtI_HWTz{!pAcdI@w3Drtm&%loD7e?q}TCDpkTwQB?6&E58F2Y3K zC3lg9?3zoCLs!Xej~5j=yw?g|vP<`se`rfMN+o?QFw7-OY_hM^FQfc0slk(Jw zpWbzcydstmcnnXzdMX#TDDL0Nd4njyFua$zXq{kjJ<@7i9A_MR5r?l1n3s3hctRCA z?>!w7b_c9}Bs>QL^TIDs9& zWFsu9jH;kcb{O|B{6Yd1;3j6$+4t*SolIDsc>zQorW+t-rwX*!0>zP_fU7kUKa~A)O;)xc=X9#x^EocL4$V&^|@)FJe2@@X!;-H9ZklMT zasiY-SUoMRVJ}|ex(`iU)p#SC?|jY*-=l7Q9FI9(nGrL$^x42kDi^arJT0wmFRmDy z>(+4%*DOpM>NQ^E&AD@?a@8KUxv?6rx5a!?2sx%?=crHZ6M%%%mm;+ipY~>Gax~5w9z~d-=3P5UIsG zHg{Rxo@ZImY><|VQ_E&Gc5FQOY~tVsi_qyjOrMFsjTq-iaW!-dsbv#Zt73so8}=cg z1Ct-yAr>+9f@;1DB`)P|Z_^weY-d*Oi7Kw~VB)evk*F+-0H73v>RqK*#V&t^u0o0Z z0qa4g1t9DS258hdv~6F#m_6xYw2UXFzO+xd46;Lg`tyYGBU3uQi%GSeEte@}*q8P@biaC+F4(3F>_t4Re_UYGnbiv?^Y)#4rcZ!Ac+!P@i!>1GQ15W0dvw&}tu z?c|Ssx{p+^!Va%Z2MdW>?A$2|_RN2^;6D-{p)b4lIdE+#X&u zI*<1_ekLqhFLz`%o~SK@6$tpz|CqE`DLe$O$);o0nW0ZHf1u_p!)<>)Y-nC>fOUN! z{80N{n+OpDd#7Dyg|nWE2?dW_y5gZ5GY1NU2Eh};yYk=7skGCjqkT>A8Lh`b?lGFs zp26n6(wGDYfu{0Z_W;p&2Y7c{WSnI&hOIz^thYIxz2A8Q0yzt3ji-~WT~tK28G)mC zKHN}AhKVkiP*M!^pu?fwUU(Rwen^-<2b-fK?_e#(shQvJde(*E6q7+=O*VL$L`|1 zWWW-p8wv&7+~nRNTdY+Peo)CTj;KFg(ich$H(-xAc`HFKZcqTwtQTI#@5}m}GwfGH zA{2)K%7*qX&nIs3 zd#@4)ubx|nv+GF>cYb;c>fN~-m+)En-kTfU_6rda7^?#5dzM2<^1dUWJR1tcvIFH= zZ6-`(C8kwg7pywCY!WezYWTFV^jP~T)^klV)6NDZ)~BJl5DK!>dPNINDK4Z%Ni)-; zm#XAXGa`6kKgtQLPAa2Xe*h4s9@dFq_+iSyUc(%faa_AcB#EV7o z$<`Ep*(yGQMug+(_C;&`(7Z;K1gan>_V{qcE*!;^hbtI74c8!9zcj!E-|+^@Jg2as zIknpOhvTod4y7*ScuxN94+m$bn@{+FwW^D@Oqjg70IOz%SpLRnmmnl?K!34_d@&GF zL`rHsb_v*8EdWK@&G>W?Q{Ie#U-lgpJc8HOl==$O>E`G1CaJ*3_V%_ZOqds~fB*I| zH~VDDjG@#;n59y*k;R1f10m7qbf8{3pau@S= z$ul5kJBKP5S(V@oD!Hb#myR#V**hFOunMnti;_J=XED-_RXs)bj+d}1v{K5**VRLh z)lm*)nGtP`D-7%{sR^oNDdj$#@%rm~%I}1GdA9G_$FE;_6-dU><7bdYdffdFds>R! z0oTZ0Ao+5k8D-T*WCAMX&9^hcwz92SJw1F3)Ma0Avf0xRQaHQPP06e-Qf$^w$#XQ= z(D%J?gYfKy%&<^H8vxfWo$<|gao>PvEx;m`!)Wvw|4ES0ThA( z>tmviC`$iPkm_MqP8Oti)>2jM9l{>;@ZkhP#z`6wtosgm*_<&u?kYCTnZtkP_-&I!DTM{7LKgJq7tk3=qOlbYTk5O*5v zre~l2qUNBF0SaeBZ0-X8?{1e9Gh6`z>@OqU&b}a)*{6)4^vKohIhON)K_%1J9 ziuHC3^9D~-Aj~TXC?+mjfmiu%SDMExitWU-+MRhyJE&~C2k?}p?>{YyPc7}$(MXB+ z?^{e~jEuJ^#+QD2hJxUF2XINSUgS`lad^nfTGFqP(%fBk5By5b_-toD7|{wp-lg_j zab4pw&9`SOqno>r^unY;4jm5KOYOYz1KNlyE|uH^MU|5n(E-S290WQIQ5%rog`(Ls z`}E5o3~Yp;V9>_g6RsobtH}iJ_VQjt`+(-4Wvow1o!PCk5Oav$7Ohq|8CxuMkgo zeT9a6VFpb%V;B0e(KBwWIo2?~0^^(#p*nj-8hX%6ysvAhbJGw&wr0uVQ6+SJ5~K{x zM8Ei)*DeWjDiBapG;pxMp>qbFHg?!h`{P#F`5yaFB7tb@*-D5ZDp!retkGAg7XsCM z+m{aty;;wNLZAxImli_bA~##4)W>`7{Vd08pxZGhP-j;u+%qqJ$uon{XV3HHu8k4= z0d;$_l-cmB1$X=5;HxZDDdkXy;}HjzbRR@UI0C@+D*zaoU zeqq6ep+A*k1VtL8=ihdhI z-{8ecRHh4wV#I3aaM*EK*uS*rT%lPENpKUq$(U48rK6wltQ=#1^&5=a2Rz(}dC{_Oi55mE0h+EsGpTtgC8onRO^m8(vTNGUgU z*Q;>J1=02QE0(4fnT>&xQ)ie(t#8(c2lkmQgN#kXZd|6~$2kif@HZD`H(bxA@5b;)Z^kS0#Cb{eW}fYQTW`M`@xl7)680|HvmKRdFq)Gbd5InhNI+YEQ3B$k-0Z#a zPX_}hezZ!Avu5}f07M225J{D^i^ZMS9U8NiaNQKD^;PLW_e^oYrOLHom>(!2mBeAb z%>(w`yuXkj_C4R!%0TKV!9>c>xo!MnS7D+`?KK-_T>qylNJ?sN8Q&9g)3KE3SR8;X ztkra7eCFutwd-i9z@@lBqI9$CVeIZ<+L0?K$g@n2(B=4nAxc!DL~5XmxeFlJ^36Nk z?}b%4--+*;Vz#U>c8JaW(FPZW1ME(mPTjgpjjsK@;(7U5)1}7nm}Od#NAE!a&(`>S zdgL%UiS3zWFDgx+;p9f=b2*}Km2XqRtam>&!gI!V=D~bK(F9P9XEV1l%jS_rCfYlJq*P*a3)<|nw?pV{HoOV*qs5uvx-(~S0q%mb-Pgu_9~_Lx zw~P?Ud}QL|^68M$#k5rr)ft++k7f#Ec7q%=?zB6lBvRPK?rI|H9zDv~Ioz2VFP)2R zdIvRtkt$Fr&$VRjn;-TvF1+)?2$-c?>_K`^iCo>-vcCtA!k11VdBXh5%RQ%BGY2pW zpi1!EnQ;i=t!fO3>V-Fc6gH$Z;oH4g(|mN7#s?sc);F+Xup|88)`2g=NiAhnxgDGnvY@)2gw zQ6ZW2g&SmR34EF*ME;{-@bi9>WR|=@2W1!8=YynXqT9ot-=3?^4&W_T7A6bPqbfE! z_?YVs<8NBUND$GGVrwrTjM)0|Zi_7oDjxyrt&f#08J{GBG#ocV0wJ6YbLYv}!vy+# z&?&q5Y(MiUfE{fi#r2h>CP89TeHqm7EY}|s^tCLmCMN1l`qd^iQ&skOE)GLlZ7!{; z-P5ko4OLG4R+s6HG=Hj5b&{R)05ZEcTpM(hLh5oZVW;+R1qi_rvkoTN=a5=X<%@>G zA{Z+4QEo*VjD-+4@Auxr9?$M~;f*-7b3bEU^7^Q|!u<>1@uzyzx^WN}A~vjh$&Y`| zK=_4=RN3j|ema*o7J|s)?%4ufM7W+Kj+n?fFunzgV#sC;MaB6rC8^Eg;krRH5g34w z7=9^yHUC5BH<)b*-?n4-!_r)l*QWdfUaNLC;gFWsMHt#!Ip4NYijo$Uc*g8)M-~@YzArfQ;g_o32gd z@-E0XW6mvp`}n-^-(mMg*R}i_r$G&Zf!0_Rv{ZC8fC@WC@+wsXspe$5m&NT!xaNO2ku4B7?ag|5@nOvPpR9H-x)N|4pGOBf8HW>pB)ctk8 zpk44itg8A{bf^M2f)HX_iS7u=evYC8(7_NP8lR!P6HZhFSo{UhP`P|-#W$=#TVf8# zVdrl7?ZB-D7ZYpbJsFC%?iCOv4b5tP&N z0Yh3Kxc~qF?|LXvSoVL=c3i;uMjE?BL$UW#2m!*@qX_gg#|~-9wKBR(-bkd$WJAV| z$|puwBwmGbC#(aJusJRV~TOV!M5O%-M1$Tb$H575(;rvHXGoV z`H>i+rg6Qe)XtD>t+xKPWAJ!pKZMy1&JE$jnuL7p&3GsSioU@*c!I6SwcKa@+yrtG zZK{eI9(~>Wboy!ujpx1m2+d6^%Y11>gZ6@TS7r#G0%bH{Q3V`kKt!iO0@u93l4eEj zUTD}8$-!MmaLukEsc8T8Q;*~ON?N}N>nS1 ztwTPsA`@U-b6F&r$rJoMAJ;DLMZn#2pyjnY!dPl2wL1x1QaHdgcjw)(N*~xgj}(vD z(K%IRdszM-dv6*~_1eCT8xj#IvkDEASy+^el_VB2&qIb-rZUf&8>B?Uk|Fa<#$-xD zVVM`1m5?c9Cj8H@cKhD<@cZ5W7tfpL`Rq4)Z?(4dUDvv<^E%JtJdWdBE)VuNSk*rV z&D%R->?=B+9s@0s-kaKOEfoDC)0GA;ef9nCzbAGnU7MrDJ4{!CWK}0F)kKUPp{yeH z*@}(SP^RPuo%v(~+xCG-Ok)ysfV`C@R$zLGXxp1qt7y}Kf$15@V7ZY(z>+irbU|5h zIjf20M};lJkV&=u|AcLyvD2*5!$Og#nlH?~gctTK+5D))fN3 zX(IVjvA}C*3Vrkx=%m&wO(H}%Do*zIvfOB_)~l( z@7{*1{s;J>>uUX&TAC|PR?JVj2yB{EDBYdQk+GpYVEqsKEc^RpNv~m%ooSX<52QZF zrst$~mtbPt54uOIl0Wl3D%7gjGbAj}U=5wq&7s2+JJ+XSw6dD%u|;xx8PkXiUD7D) z;HEkRKpR*<%6@!<=mijv{idr~R1Wpc;GT5JkvkyJEVRHeXOF3{Y8t-x8>F9+xNIk? zxq2oJ90x1ra7_KS`Esgi5T|vjBTh$}%!1oj(}B}NJ3p%4aks6J=gWnw?QM$*EzK<@ zvAu0E+@CtM>Twz+YiAz@O5MzZOW&V^&l9N{*=fGS;~FOUkMt0aCm15|1Lg;Le3>4q zDAR`lV4X#`l-qvlo@sc(%D<_9X{`WA-1j9J&dnxj9fuacRL``>QB7|S<7gz%m-s}c z&P?ZCS`qZ{yq0vidssAoks@rsP|X2$@g%3ifS%{q(%w^TYF|ssRzKJx@6HzXh`=_# zH?p+%KfXdPKK+BO{Tv;tth_!$^icFAwmW_>KRrk?*yS`85Ou1T;^yy5^4|t;t)5bk zw)uN39@mO#lrK`u90&fIvJNCD&iIrn{;DkHe9dkn>p&*NVrZsG!N3)`s)YcH1otU& zD97`F=KpEQcc@!$4XrLgC)uGCua~P7BUt|?T*cm?$vBSySZYWA4}6YT52ol#1cWps z#YJ;q!LTCUtDMlAUM3xCjST%l1n#$8){r^4oja_cVZNnT6-Q%nAKs>@Zm)3B#RJ?Zl)PfA1VpbT$fuSfb(;VG73Oi-~5v1KZrqy7*{V9Rf7 zpLay$QUUzo@e>9PC0vkiPI8%?+NWSAYKZhk0!0b3Pll!Xx};FDN+P4^9A_>(xO|T) z5-!MdJz;?M@leq7gu(r+3C=^d1~`TZg3T9Ks!}tCPgOwH>j0gPd)1*?k`)VZgOpMU z-F#2h=g`cX3R8g{7HUcL+75Md(>Q|zOPpeyn8tG7qs>QkNsOiwB(7 z0R%n^A7I5MyG^DN=mqBZER9w#Z_Sr3#>g0pR`ILMmwg90%8s6jP*9M8Wlq)UV1xhz z9Z|s;RkkpG!hXa4VJ~x=bxR~rd6j;(Mg!-wRjVQRNfb2y0AOX59MPfiyF@VvdQ@1G zvJX33^Y#*JD*4}HB|J+JPErrv`(Y8NCP5sefAYq6lUyyCel2Qb+=gFV{HBQ`Os8l9 z)Nm>j_(!9pf(~D=<#8-$2prb%9em8yu<3r7t!znE?LE^UKZ7+EC>@HcR*n{u3Xy!U z6`Bdkm}X!rn-MiTWI-M_u-HR!JaEyYP;?)&s`28NdWV*CjURx*-V~*ra51Be%BCYp zw$It0Uf-q9d@nM#9rFS~q`&5?iClw<9uKN9*a#K|pDpu00hPZTARNTLZI#FHFd473 z-MzG%^)C*D4P3|;ct`o`XIU_HU=tziAO3W<@2LsV*HRO@OXpv~YhK+bJXN>v!`wPI zpso$}O)Q5k&lAo)^Mt|R#LcN?C-JvPA0NM{35-0Z*Gj1|9{86oKft4^#iQY7xpSN+1_oD`$NuCYopPrsRTxerX9o5LfxeVst{ zpX$v|I0j}RVCy&ernwRVQ@a)`A9PaeKn>;&n_i-E?yqswi-Y>?8EL!c5hgyv;GR&~ z%eMF&?2?*4f}#vO#+7_aMK9>BzQ`pgkIR*kQ&#dFRBDZqxCPJKIIm1 zPl06n*UxNi<+!SKf6Oy?h{zOvP@?sE@O>Vw4Ty7F(M$6P7hm5-}Akpyf0|V z>I%gnvb*O=+>`^CRPy%KiIR!?6A76YhI>LV7^&kq6&R&X02^dpyoHDcUh4$A@S)iI0QANw!6$ z>Cr!YR{q0(sc3`4qxPq)^wGb#(EY^_=eISaEG<~|-7is!`HQK|f3TP&M|^%vvg7^# zi}~>lFcdl2BWC^=x4yp^9sc$`IhzBnIYGG|$dxQ z$NlR$`}?T=Yb5zQ#{CYwzat6l-WyISx2K=6H89qIONH{JmzNb+jgYo4#Z#USv1y9{Uq}w0qwDe8J=RglP zdm-M13UkH;TH9a2Uhpa4VjfYwg6H7b%3*fm_{)1Ng<_`zR$qa{QulZeqFDV2j;qCw zS&Lbg!Wr77Xb~H&uhIxe3p%Q5GfAO8_hJ_bP$Tk#;U8^pdQO4xGh6>$>6ljmbJ|_1G3wa(PY-6O5lxY zcFuxhGN3^{=#}4XNlP0%H6xKZiQ9e?9cFsuzKSG4j2X*Udi1#S->V|@1MnE+9Jug} zZvqs0)A5hQcRt@^eQ0QKG|jQSX32S`=OcJNoviX)ivkO;bq1lonBz z!)b8Ue9RT10{OFF7$l;>fj3b|<#tUv|27Ez^8M-09r6o4(wzP{75M7Xl5@I?H_eFU*& zp9zY)19~dGGEUyI9ROR;Y>HQ~Zhw;#1S73JOm=QlE*Anb9lQH;F{$i=$zQS_HamEN zF?#d6Y2>i77#uYN99)$If;P6CwkNqr>97GaDo^h&vhJEVYrgf9PA2!-7=P|3dl9y^ zIY^#c3&BFLgXxJF(v|9`&!s@U64&jT+OD{OUA?%16`aS$MO0%pFO*0YQt zsc$!0uKc5LNi>9ao1rt?5=VC1J>8R6k#888;L?HnL2{)+n zaIRnZqHQ_7g;2R-b{9^3T>H|QsvtW+z5jQSv-j)@B#2?woi^}T%6(<>Vo9cGXZYQQ zvDITiQopOTqx8w4+S$(z5bhH^{Q6r`$QAp5*KkUDy}ha)PJ;}Uzpt(RX5Nav%M zXRxH>95fM20PRKSt8F%p7G4(-Vdn>6R*c894}rNT2-7}c)8jm09&^agjkdc{eMPtQ z;&gDaqR#<*8-BRgbwg~xN_W9&YaFOi;mE50s3m39j-vqof~R|MerlKAD;Kc!Ekbu6 zs0yFWOpiY@x7_g>A+-!iIsm6R0$j56p-Xwh`MG9eOhb+q78iZ)vPJ6)&VKhq^C6(e zn2o;mLtxYYrDi@`_j!k{hi5s-v4a5nCZ=Qn->XSrhl&LA3Hy~ZVb zt>$8vEO7um1wr7EEskXfVc@6F4FN&Aj@FmC%B9xbnyM||SnP-0^O9WtNw?6Xlm+5052v_p5R%VPy%<7O=q z&TNTqnMo~q)LN)<#JDy|e&iQ26#@6HA`p#m?F_d-R;!?r21n@gG9c|4)cf+Tr&a8i5qL$tFF5HZux)=_qJG3#p$JS!a)fYPtmwr? z_S5~j)J#qhxr}di0oVz8qz}xIV`F*t`Qb0A4DiM~e^~=-f@11@hRqY!OC!)KC$H6W zdf;w#NtMap*ZMPDBJ%oeZ~^Ozj1<#Acd7Og7(mnXnl>l30fa;gGS)|z7FM%Fw}3h> zsUc|>PfSX+JP~POcDwG2LBeYGW4}ZZBdkppb`oB|w@=1=-ebt2yiSHK^EPNYqYRWK z;*Ag^%(54N9Z^0(2u%2kLs8xU8S}hw>XZ*kbTPl#hr+ea`|S6_zc-%^%xRMy&o=d3 z7_AM$A<@T3ski*GR zp0@23D?Tn`Dv60bp{C+k9BWy@7vyu z%qdJI4(#`J@S6%^FnoQx`-U8yKQ`VxK%JdLo^cTzhZv%CEMne!e_^h_=lu9|+>EY4 zC#8vXypcTNrQ>ZfxbkkQqqfC2PGpSFYS?0Y3+N}4L{$8$*Q*t_BrFR>BF0)M>aYC~ zJ}rfa1`p9oeRJK7`r=ctEHL3yFhzLD%0cS zQ8y#P`K3SgPin!Uw9ne$sepJ8QT7defVyW||Jb>kSMcKx=VzAMq(=0VuKpebHAZ$@ zN_*#}*jhmSB+*&`j)EGFtXH+UyU!gdZJVPtYfIjfJ_YNW4P{>BEsV#0o<`QskBh`# zSJ&jO`Lr5eJTlsXMtFdcb%>+7B2I-=^xakO{aH2QE9r;3i+@C&$Oxhf)v7U=u2I;g zZ(_@oY8b8c{xok?Y)nTiGuno<`aX+MU7Rf_m=_rNqI+*Z)X*#bGS!9m6_nEv%G(0N zkk4>f_H^bHHgPS=hHeTCKxD6Ke%|u4=J0eIFDFTDREm6NLw17niq&TY8R~8x2nH6D zajqhWIi`-WABk5{kU2R~na7>8*u3h#Zn>l#5)^Op;&*B4jF1UV(S!=ca+8&N4BZ60 zq6+8H+l?^u#b5%GS^*Hh9oWrem0Mwt=E&rK16`bIGtJ|5GF>X4H@qR?j%6cYTE%BL zO2&7$S*R=tN{TIdR>6^m3%(dP&9A;K5f3wDOh%%o$GV>TW5YPeW;ZxAB=R&TzkuLE zr;t}nvs*beuWS0b+T=LGGKP;@7VeHZX&K+W4^8ixe(uN~atW5PTE1JgQ(N)y5Bl-o z*Q`A0Lf*`40bRVp-A5)F)&gKFvpRbL2hyuSf|CxCs<1fU`Oq79eO0mXXKIxw_3p9( z#0@hk)RF>47Qk9tATA@FnUXJo=i}~e9KA%rtG*5??Zc*=3Aq5ah+f3`R(5Gxp>rUr zpD*_!*{5eb$v!h+3OZ+SuVG7-`t5RSz6Jdm<#_$#`i91NM;RbZPPnQI_8HY@wX}bS!LZbjZiC-y`Th{7leKvFLuNS z$>FP(K(K>%iE5FA$=^n2wZ=MG(&ZDfn6xvWNXOMJj%#o)f}zA>)G4x?kuCY-&=&ES z|5?o(=;EF0?89Dl4pU~`o+!h1>Jy?4%GS;6;UHoxFoGb4`}jIs5(lRoDko=O{4t98q#J zEa1BAdV$1=uJTcO)In;@&{#t#_wr0{TSaJ3P3I&+2nd%hMiWh7i%`IzY=A^#^@1pD;~;dj!IfWW~+Jsi>*ryj$0 zZq(Im(+mIp)G48H+xX?%?a^gxiOZqvu(-7vVS!K<32U&CU5{zzt7xfMPkthaL0C%j z#U3n7-8q619?J`MH&um_!Gb2Q59DlB&8NpxC$>A&5`$kL!hV`tT54(XIH&!n3n5Xl zU|)BD=%MV`vMf3{t6b4YRjm-?axT8R_!jlo`%jd9vg~6$l8$nI2N^5>d=duBo++*? zjkCnm)JLo;P%l4tVz)RiBi*x)Q2f-GbB|7AMrJoA!lt_zvyg7^F$oy#DF=wcCXjmP zfPX4S#s$kgYg#kOizmNr)l$)W`v7TLc7)qIvvG+#!|E0|;iSArYxUuO=J1oC{JfLZ zLbJ!qGt#a&dp|xiHwKAvG@Gw=!{g(6!aC@$Svs9SJ`2YEXcg{Kl&i$UR~49FY?6!0kV3W9&b1L(RSiPBzniZ&m(<8YVh*FW8wl zFoSP_Qu4@}0jlv;VP4}>Hh2zMWTr-ODWphe^QTJecsKX_&{tQHntGE`Eswuz)$Wva zV?oGmX+R&mAUHBOrv?-o{+z034yz^n;I8Wd*nGPzl5n~uLXVt*J8x?#WJ~5dDUGr; zhj5_u<{2BxTA33_EuMDZ1yFBI(CP9K9CYT1RH;v-cHD%_K7=JLmTZ2>=G2&b<6pgx zhN0uKtC8-_2kc(Sb$8@N10PVhab%QgrKacxR?{A$-tV2YVId?scst+#mUKm_>qFwk zjrrol3z|qR;E`T_DuBacC_m;PskgX?btC7en6w6iP7%DCZ~LXG*N8`1-Ce1j^<*Xx z;k$#ZBx|mN%j(;u~q}9}UC3vsu&UY0VcVbR!YLFSme+x8{}Z7X&7` zZS{#yj?pZiGJz)W`y^YX&7_$b?)=IlJ6)G0@dd|$2Q~#x%bh15$^AwOEO^Yu05}R;xw_IA@&SNxN9iwLsS!%ZM9bNfn2C0YfyMY>h+p z^61p~^FzX5q~VQ^H2YC=IC8Thgw!Ma2dAhHutLx;Ua0G3>9?OcSH#7U;i8o)4ALUc zTMv3uw!nk7Y6<0R*3ZE)3H3-?-pM=VZhf$u(nNWy)%I}zjNg~Ogdl=jA zJ>R)*J*P5mHurN@8;${d^x)dc6vH7#4vW#4_9K&D4xD*m+zJ{8wYiOSN9krem?IpcUm;O{i}nxP z=Bpy)CH-?M-$}Pi<=0NaY4U)y5p%Qgwv;7%+Fi(|hx}juq)-VE*xiag0wh9;1K$Xd zceB$paMln4JRqqgtNb00s`!XoycDpYz0~m|5q5%2=H1WCo5mRuqBz3By6gRzKyt_}D6|MRhn>sSP%i4T4*Oy;m>8N@{0!x9a2 zeAnddgffbAwhMgM@1jfkK+2@eXpHz|so~lb|F{sr@B{8ayAemJZ)M{?1)qYpYHvO% z9(m2G2o;GyUohv!VK(XL1aEnH=!8@4qt!-;7C6LKDIzy>dBO}U*@Y=ILA9!*gVnFg z-|cQ74piVRc_zw@BFVPkwvOx;H|?={Doej;!8GsMaZyd+2Vg48N|;cBmqf*w;dAjo z=7<+qh!?q*W*pDI4UCnKrS%Qr+{chVhQ$7{Y0|>xVj3yq{B$hXYN4B1Kf`tw@8BzmtWD-vn z#|ky`6uI5f;Ei|S%sk}p&|Dm3G# zL2AG^>&VA)tlNv6YeTjFZK{2r2UB{QKKBr9nnX<&XGDea;5f#auU}HX{`}w>oF7B@-el-l$HNU;+5DV>AZx#(>f6RxoukZ|76L#;$G+$7 zsq>VWT}yTIE%03XKCEkW>gpo_5#Q0~NuW{g)jk)%mGTjWwhC_8VGaiGW{f^BQDBo6 z8q*N5xzObjr63l?2i=Ttoo->(ws;AJhO+nfLq+;OR50Vec|xjE)iwBZTI)+;GoPcJ zY#ort^o4VLpYUhOcci3j&nb*!;x{Jp8}DH3)KF(4!dod;#wHb@WLgYWLghtGCSmqx zS?QwqA(=Ho?l>&)%R2ScR7xneR%UM5L5*Z@6w%)pX{d5d!`NaE8iLC%G?IwZmr*hD0Ex19awz5;SNm55$;%^N zE0W*AJMOwyt#o5$zGlMXT}sixf{(J01-gN-G-#VD9x{&!xXXnQFF9?6ADc7z%7cam z3SV%o7z+}525n=%_v6vODL-ULD)=Zwc=zI3fY0Ucq_Dl(@7kyfMQzE@R136j8>8eX zmnLL=2}}%Eks059Z)j9_FBygL&jmLS>$#L8CcrihcR(li`KCzK+6?61dFm~dLMa}lAkQjrP6;k2b?H&_cN`?6f7iOQd z#-)wk29qk9B_)hUH!hj?Aa{GFLsnYO<|N#vZ7mS|j`gUZr|-@~hfvfb=H-P<&B>%z zv{C1sB<8n^*aWU!MDE;OsU)6T(xbb0!|Tu6pNkwYlBXG2Oc1slA*a4ox1G5ADZ>KN zY{-s~ZCSmqe?0sAGoW`-XRs1(Kh5&Jtcpv%u9wxX;-SK-Omjv_7!Z!jjO$ns$w3<9 zr6wH0@@X5X#J;)wP;pX(-r(y zdd+o)>%+^PGvK!Pnd|ur$t_5D!WdQJB(>)5(Jn&`?N(%+W~D$kt6o%KHz#vZlJi53 z@hEUUO`TdY)3PY35D1uk<19akk#lA7cuJxr3Pm^xH;*H*Y1N&TqLwo8vq7noSzc=-2D8`?;6>c8^HAJj%5=_um|o)eOrSQJb#3> zd7BN&J5&F8D2#mzUag9z$`bg|)2p;Al@xm6bTs>)!PXr@*o{|fGp@@oab>);U|5RY ze~{6b_KHew{`E{4*le;CBage*KTdbw14h~40Qk5mm%6D=t>hPUeIvbzr!Hn$u4=Pg zZNwjcn#9u%TEYdT)~IH@!!Q_gU;%HqXfs^MIr+HMHaS#85bVG!Z&0F)#72FIE4^=Q zP9T2v+7Sy#&h*g?-;emwz>Si67*nWGTYO<6I{Ax5cG@&z>DQxe8v1Z4E$$_pzaJW5 zt^t%H*D5$WykLE5%HgJXXDYz_@ppC0rjiOph=xCV3&by?M?%;w8PZdXUm;&g9u$R3 z)EU4ql!>Ab3ET^=BdUUM0BQWdkhg0VnkeXgX5KBJtp|Ds;Go~b?w+9;L8L!zq=XKi zxG)FlkIAkvB82D&brI)%J?cMEP)8+nO75|+0?(@}UWIEFJKsFP%d+ME;Zu*Wr!~4z z^781%Sv}7%^c*B{;Ze4ki&+;kv4I#YG7=RSbmc4Wht)bI|{To?kQgfueHy zqB+jz_=atEsMS23PH=$nlnPuv=XZdFzgK;Ix)o%9m1GjUk)@X)z{i5pV*r6_JZG&g z4tS_i+X5JObz6E9(=e@nL&X`U3Yjcb=sYij4DOu^4~1 z(Fy4I{bB)FA}AJ)?&tguh*T~}L!h=v?!jHE@1(mk?;wh;8{1TqSdd}sF#~fq$31sd z#E`o0$T~bn=w_E{C_9QjYeG(=3)3OX5ISM?jBtf1O;->6(C&PiO~wd0!~CcYmwaL98qNj?@R_h;_A*1~V(e{Wvz~c>Q;Si}Gxk zi1a64VcLHtt9~efl`S8xqNVcVplE+@88M~(&x5-E(q;cuM*5YWfzvxTCsg{+a{~YU zg&as(EqI*bufsF{JP?20_H6B|kPVeqc{kAi@8n&!b~8evKy;ev?>zk9-tmv^(jQMi z_^!09?bFRaw$K0cLM)HK`mOu*_?Hd;6hVT^L*8wo(dV>(s zM*s6gu(?>F?3pl?QY8o71Qa+WXE*)?XMTslfBvj0jYPudbQ>?;L;q!j;_r9;r(bOi zA5$kJob@lPg8%d@oq6DUcnd9@v zL@59HqyFnF{c<2mS@2%>`A-k^mp|)%1z&^M@C6&@|MEd}V4t+;KKuFCMfle@g-6OT zg>`YRbo?azUp~nH|1V@8*^Jv{fz@9g`d^8o$U2%KRgLwHAOGchOMDFL(zDoV()C|H z$Om0m=$@pn$mqxa^nQQ*ne=g3mz=St$E9{Mlen;2|V?Y}qRUyjBf zU%=lR@ZZ-2cIMw3@P9bSe@DRoyfFV4L_kZe#({=^1k@PvpO7P3fc0O@L|>E;3}ZIc z8}=$a?ib7e#4o89pd)oIP|+uXzA??6M zS>miabvv;^)%wB{&&jsScd!P*wHJSO&x(J5EMs->o7nWo##t31g>yb*E3q-eA)@}i zKFWsY&GN3E#ncPt2|Y8ml09v)mz;py6a8r7rl=~}f4L(&4^XoyPQKUw-!34Cj$bdq zRmJCWD(Ek%&wsd@rP<=(3UX3v3HmQr8Xp3D{r!0VvV{N7tX}_k5-shoOxaJ2{u@5~ zIarVA76*Y{zaWfBc~mXhBn{ve4uD8%I#(EUng;eQ9j^QThj3z!6b6rktYwh(`jGh+ zfh+(*6LAEV@R_Ius4#^9N7EDDhF<3V;GmH;r&lYyd?~v5b_T{;OUK{8PSpYBj0vD6)-h2MruJ@}%xihaMve!Bn$|hG2rN<6~{`kml+Bpl{ zD=~&Bf&s{pPEf#Hmrfgi;ci^@xCX8gz27bp10%YIDE)=QL#W*K z-ccfyVjO_})2^m!HhnPF!kXT|=|)$kS~{(xkV5>vA1*wTRwF7=UI!`xdbfbzB_svr zmh!c<$4*OYzkBy9!aRX^D&?EL}vRZmokGe7d(uFlTPVFN^`kqp)r*;+%}Q zzaxE>XrvD3Dd|@25dLF3fmGPH;04vcXX9*t)QH2GCP0$BOXke}@}G z1QycslWPw$wm^L*M>qmoi4`!p^l1y z`^zhR$*to>Tot^&tBnZF>2?B7!CNAe8fl%#UFg7}5b}FRbu3`7b(NE`_L3DC$$!+X zd#fWzy$+XCvOd@=(NGHgO6sIbp#00GGxgb9n3ZlY7fBQ)|~@bDL|;6v8uKl z*urvSZ=9x%M6okJ6-b;gY878n1mA=E0&Y{SX~xsQfo5DCD*~^bXeNv3+PD`O?I>h4 zCD{Ev>!{vu zKH!$-416r1GcRuYBTO&c9wvXbyBNp{ZL{FX@?aZpS+1sZp&mMO;y-&q9TIEa*9K5- z8!{q>UFMwY36d6Q_pdG_5Cs9W=3H#>-HUk#I8!a~dyldn_tABnVtuH|c6xDIIe;NuaJQJoh(AlkQUc%k?Ax%&1bujmU6$?sxVN5%3D zfk8JSu`>_=N*3ms4MH@vO@h>Wldh|d=P^K(DsqRzS?8DuEk#_lp}O9FgUcn}iz(JY zJDlacz3X0Ha*4w}TE%jOJGP%)gT}<=-&R$(0U@cw2B9$T(j&aox*8cg`Qz-egm5$A+Xd}WsDwx z6|52!TYR+4<^c_K0shK`OMRq`l_hu^1BqGE7 z)K~E?WJGuZZsRc>(3YCXl5sg+E2-B z=JfdWp{vD@SRQ|?tu& zdy+*e$#vr;_?jzQ(Y2Nx zYlS>x!Q*(SapGr^=|xxBi|jKa^gde5J1Y5PiJrX>4mn;ZuO)euo558s@TPP?xJ`U1 zkiTQf@O(Vt)|z}*By-^5b^gpg_dkM)@l~>4DURi1Um}Gpd5eI6tOsfL1`tOlcUYBo z9K!gKxL8B?aXLpZ5DZ3<&gq5CfTmwve^3@aed3x%?0d8aK|a=LJRC#W5D+kJ zuOdTa8^PjR1%c;k$&clQ;U0R`c+B)Nn8|0a)s_tps#k9^#xh=RStdKe6OYmI;mmFM9 zG?I}N%`AP%a(+5ZkaMaw9V;2ymV9p=E~YAX=OphDOdsLd;Ou@jjZn?MqHcTYo( z#og?azN6}Gm6^K`MCuZUADoH*Hgqhq2&5S%j$M#z(0A797#vz5dccBZ$166SWOY4d z?W|ZnV|@ND(dKqfoxTCXms*)f&61}pu1~PHdRI>2R@g$r4b9r^^Yf%i`&=ttv$Ul9t@xOlmsCb{P0y6>%Ip{AYuhe4#jBdRk=w|#+q)<2P!~L!?eO~8G$WO6Vk0t`H9a-*jmsy)ocs%U8v@)8!&YgS9`#5HJednOdY$!bJQw|oVbv{Hxq*1!a9w#HQaqSIXcNj4t_}WL&=a9x+!|Xcax4P`dx6 ze|V{mausa>#Mzj=KK!|K(>{@xIWtjBN&Q|P0wa*+E}-r4-8Z`YF=9IW$3CSn&-wuxn~{R!jDDCm85HQsn%YN?WQg0NyfU^b$XHi7)VLWEVjkTztL!S#_wMT zzRHBa+jNVVl_U2+FjO+^rd4j+>8w09#_y3~Wj<%hZd;RAll3`sV>#(TsSf|;Z=YYG z$%z`b1aVxf6_0tIaK_$J@R~MpVSHWfx)Y^sFqCh)KqbX=+>schWtmnR^k`9;^8}?+VbBp(9 z9Nh0@s~RzHAh&%nV6fkZeoWM`roJ`wdZRzdm-nY)FK9UGiA)ie4nNF))@>idGSSzs_~xZ5jmIMCfJg!lQJ}{{I;rn? zxW6l=u!Vz!4j-72&wpuUELGa~=r^@oP7*n8c8N-Lw)bd+vL;{jDC>9z=~Fv22?^`k zaD~@f^wyOvj(9Ta23g%zPX$skXQkZY&g&*~0+H%|&JqX94n47*((qJlO!iL98?DB4 z_ubneKgP+bcS@y}UBX7ow*xJffWMOJNtMBojpcHQ*lHhotW}c^I_S!6W*;u;w3)zM zUfVO%CQ1H5E?dGoU_5oe$gaRoN#b=Gp-9CGN$(j=%2T;gJ70V;-?BvFs+6Wk0^DpT zboY_ry|S?e8mdgrXw6)Cqs~h5uYIF$!PJ{UG9I>8qQ_f{yPLjUQ;#0t3tkjQW;!qzr%DYN7Z0A z^8*5tR~`~1WHWFh>gw#27T1r^5e3#yDq53}&1q)Hdsdmflq^_@U4$ln5dV|DDGxtf zkDz*}!*=MkU%aS9PUwL3)1spGYU{H{w1H(*rzlbs#+6?KryYF*?zc zb>}(ceoG<#0WfV=Zk@j7qH<>ehUGnRpa-=T>q6hSdh=UKs;pp*^27oIB@|Zu@}urg zMC2Zv>**=dH7wL{r()A|&Bc0V^#(jnNXyv3CQ=Q(3={{{l`gm)aM{LD{$*khR4hxbhAOpm2_ZN85VZ?Hrj{Zk*St9m)l^aG zUMNc7^1bk*Q~!mSRVD@S}1qo+d?9L5lUv^4`=VkK_tlB zB-R*J#%=VE?QE}&z&M3&4wB>EhZ^Ucytzg#@`bYcZpGeqn7nfjZx-Rn_qwY)Ff&%^ z{O7>;?ivH_9QaMg*kdJQL&~{AnIn=H6NWj;dT)@(HgK-BsL3${OH#_a+PiD-c_snxvL;t);Kpx3r zP3Fy_Xjyul)6C;r6`3W?)V9ZnDcM!>Yqx%?2EUMY|wU}^hW$gJoH;eE8 z&^HZ5CC%$ls(WNi=AB_NTafsA6egrqT+`0xH=HT73=ZV)XGLaV39le9B*sTw9v%Az z_j1b58#Ufux5FN#{SKKxd}HUJ@MGTr;k?#K;l{`LQMr%hW1Xs}UtfkMbF8^#)SpXr4*PLtbO-nHc{Er}l&c3h z?Z)3(x>iyk6hSl@8J?S)u`xJNJLm9yQ!n|T%f@$WW zYeO%kzcL0f+yj&>fq?K*0{Pfpag%lAKIyAYz8s5vMb|u{7oc3FGsle(Mq11{1~>g&6E$l}?OQ~9IG z0z9onrjzdg(~7-ThU8RtaS@h;_qlKa%UeURwoU^w-LMXfDvl_Kdimq%`P+#bpiNeo zXy!`LWmRK8+InA~EW^HKf@AGdwn#q4`s~&Z`#Hh&(g$}!PpLeq;qGkvQdTcfX1!Q; zee4)}sE+CYt*2>Jyy_l6QXEWxBGZEbDG2xH0?mg)dbFA);^>>kqj@LBZ8Y}_QLgai z!4cbcIau^V(o;iTW8M!?K)8YrfP@V6IP3Bu{X5r2&Y@gLQ_a+)9;l z;A{XhWlGhsVzj`Cej?EYrqC8Q>20~JtEB^#uUdBj0l+P2h#Q^AfUjI8_iCntNV5EK^HbisoQdxrbMK#Bzk4xvwL)Tjjq1%8= zlvD!4TQISnH!7b#h%J|9X=+y_qPJ)F^Vl^wtl+qJkERlb;Q!z_Nk>4-LgYbc(B6rd zmS-D&{&JJm>vIqTw(3DsI&TV}!5doJw5-*n7iUkcW$e#XZsApnWfvj1``uq+}Xr)sc1 zTn&CYwx!~DyY+AdKC3|vDg2cYfJY2$McDmhMWq?%rBu+5-{3^jbaccCVl0>@KHl^7 zUkCoUqk1&VI*_fCCnmo-7443wX%oAkB4@?rnd;+|HLsJO9)^xZhmD?Hxw){uGBH>F zQT-*`SWIUq+^tyk8C?Zvh&UDVk!WrK^6$Myd6sP*GAg--<+;Gt%7qA1j0Cy&NKn|u~-qFZyMG4t9ujX3K+WkNZm7pkz`3t zxQ2G4+W?+w_M5Lj-7ZGFq(DxlPqP}d0(L8!adOr?iPc1OzIVFdOaA7Qdp^ephd{eY z8$Ix^ZxtBoJb(u~TqzOlk?csb_YHx21SS_=dMT?BY=Ol6KDqm_`(zBbAYB<5BhE5$ z1L*8(vMrkpbaO;vZ3^XucfgNdU~%VM@`K%@=ciI49#N`K)vf^Ccr+oEuev!|wS5-+ zw^6Hp6@~}D!4O?^nE~3T|5;j3*NJ<_ZqkO8d^9i|b2|RY`z#{lN4ozmn)B&fNBp2U*{0^_L>uWqt4hkS*e5 z1fqTY{NXuh>X=X}9HquPWF3A5L79Q~=x&m6JK}@Gid)-H(;nbN61fJ$tP8$+80YC` zA{H1r@GEdg6R|rm&EKqaLi--o@pp;c0N1ftW$K8>4V0D+f!Fxq9wOu}pMt^Pi073V ztv-}B6$qb|g*RPvlP)7~G6nmX9FtYvfsAL(uqei?X7M1h+hla_WktPgLFOqYZO9KK zOq-vm&Y=f(vxtf?m`|%r<E()> zn(kx-CLmP;90&Rabd7`qsEmNQQHM3nekEZy2F;oB7Q*X_mh?fKbyFMkE5YE00G zQg?J;1V~?gV|E7PZ2kCptrp$|IG$k|HLKa$YwwOR3iJc&k{OsGQG5Gab*ixrB}(fIn-Y7(^=?x4A&qgs-{u9m-Vsg~3lH!L`)pfs?4kr)gt zSyZ&hk{wyWKY%KK0 z=7JIO7Ab*(TY@8d`LgmisFUX&+Cy>*SbAh-Fo=R8}7?0`D!9 z4!rs<-=hbJ7tY(EV_Q7w3MpccVrc9#%f%|R-nu#yN7F>uMr#DVZb2wPZy=44k*=BD z%8*TBak4UUs9Md~or36QxEFyi(^B)%MEvcLi&Rbh&OU1)97FsGV0EoV)V3g_Y!E;1&YrIM!ztZB-L)b`pz6B zFD1_x4WBDEtd?va>l{AW5W`lbtO@;L4|ANhf9hjGN{}eoY;m>x)Zbeddp{Sl`qRPs zyA8>ey$icue8q-kx!}sQ<%wv}Cq5w62;3*X`9D}@ZU)Vf#vPSTc~GCZEbk9L-W^ob zU^i#!)8BW85iO=x)nDePrlStLUlTzpzr;nYhutKkXtm&E3$(zwK0Fdd%(OclwMtNX zZbMK!)sQI^LReI$t6QlyNY{W4A#XpjWxEX;-!=iM*vp2lw_tSncJun|=}v69NuD+f zAs5>7?6J5W>g%VIq^Vc&)79oNh}cquy9+wHn8`XSCx}nK#
    z?46%Npni+F-OG@ z>w|tDZLr{k!>E@US911IaA!ppIlXZ~5xb*EICc(W6v+QAK0N<4lKy$kV(u|lnm6Tv zA7|+K1iR&AuyRIAkXuMWiKmF}={tv4cF43E9BlamD9F4U9CZ?PlzjKz?CoD7O8b{h zTZBf_^=BfQR{!w$`b#E%$ZD3JonlS@~0NU!BL78>yS_)=66(<3~BrcPW2j z>LGgGFKO+xID2>G6ZT3u^JM3Z!|K)nn&dRM$P z(Ge|hchmA1VOVkBDN~~2lARRp1LGOuQwQ{z>sK&z5PBiuZ;KJu5ZO-|`|22@`gqdsFr)HL`c#XbIA_;QlI!AS!wI zRmc=3tLy{i0!-|WVPwG3yDF?zyLb*519_8zfyCwnf{D%WyPaSBBYU!o;7~%|?d@`_ zn}5K^m2`UK6_|8ZzE{cizGBo*n-DrE=rgfN$l6@D9i%aqvyIH;^To13SNJtdM8nN1 zAhf^_jz=?d;i#uz}%0FnOB5VK#RH>HyqtIX=+wqm)$= z{yf%7@bD!x1*YFt?>jMb zL`;Oloql&JIdM*u`iHZ%R3#w0f|^WHJvU)S5a^m8TzNtY*Sb}pDoI-&MB+T;(SL2t zvGxZ5rShe~7#!aI=Ik+K+{jIai2@D)X-;Z}!XZWxL>% zj{YuVhVZ!#&%!sX37}>DS?{0_YQTQF{0W_Uj)!?>gVhK`I#ZuL-M~~@6SUrcN_lq@sqf)49i`G3x=4YGjk>^@TYt16CCB% zO5|TPu)81SQhruO$uU-a0Q{c^s?U^&sMNY<=qTO@WnWS+Cw6D4q(HN~D`25R$QWPE zTH2WxJf1#7bD2a?#CxXWytK}=+Q4ph9&`UE1@z7B)PB~@mBgSg;wGQWl-292}^GwwqhE+3G5v}*7nHmQu?AIT+a2J5A m`Z{u-BH_Za{J)xWm9x@=WQ`5i5F%v}JnU_qcIIvOKKUhQ| literal 0 HcmV?d00001 diff --git a/ms_writing_figs/methods_mse_rate_new.png b/ms_writing_figs/methods_mse_rate_new.png new file mode 100644 index 0000000000000000000000000000000000000000..ea1fec55380d12d8ba1542664848b93aeadfb712 GIT binary patch literal 265159 zcmeFZXE@t`7&mGaZBebZ8mhFVR#AJ84irVz9-;Q8R?N^=X{k^vikLxcHDZgF+FQ&R zY3)6ON{sXKf6h5C&h?!0ygYB7ch$?4@w>nG{r#+4#A_{8`YS9~$jHd()n2}MLqF@&>t^feX#Ga@85x-r45klu zxT}9tp~1`kA!om?i&&UmcE^)SJJXYu%TR}nA6)Q?LPGnhFWMCUyd}_L za&+b_qohWK?G}dzyH({<{?#ur(m-Ka=z9ccm^tSy|p(6?Z7_-RKbXqT5S_46p_%a~5+^zd-qNp&w4e<-|yGGn(Z%>x$XGFbe%5H}z$yGOf zZ+US|Jf$bl|HTQh(f{Qk)H6eRb2VsX{}Wt*<|H>MA@tVo&@UlbDo+oW=g!Kf)fp*4 zPArRRA%by822-JVuxsARfCe42#$;l=CNK!Em?6v%{pfq2g8R zhKrGxuRe<__5AIfq2#uRHnx3_-37yID#7rs#e>^;AJy#*ObCMWs2f_ZWEOtp?6ekxS#bPQG4-?BcraYE>l7I$kS_|EAt?kt`wvb zw$TE&iZ^S+*0WFwW2}tZI(^?QUyb2-E0!_|K6uL7%9s2*;hnFd9dtkATuoRnZO;;7 z2&p0s*O*KNRS_h*pBTm64U*tobQKx=?)wiN58dtzbkodUlG^`-tC;%57W*>j>YtIL zjl*W5h+pvO$m;ZOui|Ba_h?Dkv}XLa_n3mxc@ddCEQCBWBS@dp?CLfdnG%`Wi>G>i zkR6`9fydQAB z;KnV!lbZHWo;nX2JD&`M93@ZM`z}u|PtF`Qnm6MWY?ow3w~rO}d*$%Fx(UUiQnX5B z6pZi5s5r>T|KI+ZDMb5flDUpE{(td%7cZogOh*0eCi(yBCCMnDFUTk@*>6c0hy8!P z_kSOb`kD9t@s%1;s;^s3+(DIuvp0zu%Kn_KIO&=^m#B6Ic7py!vdH5MEl9gU_xei;o$#_C9H) zb8UP2_W#kZr!U?{#`!3B?>xUIZ)0HUiVj!9S$!4g^%)0`53=9;KN~#lL8jr_`Pq@; zKK}e{yzz{(d!<(pSsuk#n1ve z`YJ`NfT8Q>2g<&WR|OqzgS~YsdjuPHUX5H|E4^BxU_FzlVXbHJn%f&QGJ z?OMXoY+#w3tkdygk|dF|B-w0Ssx6aIQD!xwTK$4fl*2|28TIdgYI%b9az>FH|P61ZEN?XC_;Ou5+2`Y($Y6<0(W`!6Q;{rMG|dfjlb#scS|pX|10bAEax zc}?NpTdRDmw&G0Cx+z}0(J<#LVJK3MB~3%4Sq@LY%Aj<2zemn$e?^I}8bMz{nW94~ zi3epNu7{KM8Jyc@>)aI8@fLR^AsZ8Mt|yKv)`iXUF^ZTcj@dk_+T1>bvcz$8G&2U_U490mY3{nRoS5 z;LQqTF0(~Y`FEw4x2T9;l!`WO4Z&GQe}MC0NL*GtpS;oL=H7u$Sban}nVXvC1Bu0N z5{6P9uiPWd_6_*r6jCB#!6x>JHLOHO*cY>)-8QZUvk>r%8%?mpmF`moj@S8IDg%n= zL6uW(4U>?!GLrb9{bWOP|1jIB;lC}+RNW8H#P>6G-3BwCwzHhU4x@hgg#YYd4>7x^ zW7^>I-fH~i6i_J+k7F_zM~Y)!axW?)*d*!o<`L3!z4*X34f{c{_31u3;fU`&_oz6fQ1S*5#oj_%<-hzqux|^jH7{> zhjPRU2z8VIcW@n-;^D9e+6^1}c?WdaW9E70sQu&ZyAmXq@It1&eqYJo=Sj^cZN+s< zDVibgbXkphiZ#DKxsP>G$E49aq=+-{>98bJ026?wKvcAkvn3Gzvqz}e<#5_-Aia+r z6sk0I`2;vxUB9LBgVvv;;7l%dj#X~19X=I^^WB&bDI~uWK3XBAvXi)`BB_AyI~>x> zyy(ZViwE-{%auc7*3a6j^Zw@%5X~)vP$^*siR=mXqpQ{&LBv&54-%Eyc1FUVV{ji=dKUu|$J}lY zN%qba8LQu4_Rc=ATxJ_yMUp`Fi0f}SD?~U4w<_Z-hi@p?5M3aq3QVH-OU&C1+X~i6 zYDGAj>|`6~AJfM6X``>c<(=|DFXlS-Z#EgOsMYN%BT%3Z(M+``dp$7lSi}78jr&v_ zZ(ng!=Q|1Q0MB3gmK#nIChWuXkmvyGsmuuSj^C=rsp|SebQKzm&+D@?mgY${&8H=e z+$SY9vulJge*8KDw4mZd5hlziAshIlJB#HbQUw;Nbqs($IjSJ~%i2HS?#Fa*1g>&r zCcQ6X+6p`-c_VeCXWzBb+wHb7OX7GMAh)fMKW2MxF67Cio4VEIN&`nMMLibo{BoT^ zW`$$_C*`%AgXreFm#c_Ti?Iuk^ghViC%HWw%)=?76u2m+o$po!k|n!`kf!X$jO~5w zc5~vjM6BDRJZ9aO+b=Pjz0FZoI6{{}`y7rv1^Bl-lgvCL{7IWN;F>xH@=D@bQIg@) z!IkrW88gJQ@hzO?zSIP zL7REsgxP$jJqmsw56`dj=iZoom|h=t9a?oyr}q8i%Iz6fRLmnY0+xag_FPYrfW50G zx!t%QJ?V%_>y=qA#txdd1P&;dpO-RQU3*rNQ5NtreAN)!V|s5M!?)WoE9~qNdu;2VeaZ?~DRw!EeETlo7vi;+B((Eg^!1{ayvgMS@SM{ zf=cm7r-@5>Th!r--_eXO3@(X%{L8Cf8rA=vg<0lk+AFCiT3&WuFVc5}G(;ZT+V zRK#HYlh$%&>O9s{sAk$z!|HZ89muM*aj$!C53!f|iy4O^#e|$#XP;9tNM)`*rHlAz z#Vo$>4txoL@%i$e#OIrvd8cox=+Fqh9zX)~*M^?1ZyHmByp?jZLU8{7~ zKuR7TiAu$wLKC~eFwt{KlV1#YsR45_k@DkDqy2z^>dU;nHiZ)M$#ObmDP z!%S@=Bcx8NHV#TxPOCU60_@YFhm%VHz*8%3jc-{wE!O|}j`3SLhp)ZjdxxZ6`1!`? z^|+ZH-lL#zWVD1UZSX8%dNlq@fy zjoIR{rsRxwzuel4t!!7W#p#-1uC~JQ@6;*)?x3swe7qW9J9&-695mgVq;zk~8}je%MW|FM}QdOqm5b8i+naoaYHz>~EH`RG=xBE`ds zgyejC_BGi{{;f^WpH@jJH(b(Mo%<>zI7u$jPn30X?+CH~Zb|LJ>+ua5Z1#mq1sxPS z;OJC5aDmqJ1I>?5Jg-qO?l2AJ$8%={4X+k3!=t?IN_*V@!BdPZ!)}Rmr3v-BS(N^) zzSi3>yY2Gm)%QO(DBJU@>ISd^-za=lJjNc&s9C zj3@cd%-_%K>3-nK>s3iK3>3zU6YkBYERoRtK1o*MFG?y7#_0F(t7EbQiz$vVD{08& z6$MGpg_n5O?TR2}=MI0-xW9dF4vNF7J+H~@jjFVLzY>B-!;`PlCfbzsS8{xxD+*BL zkD3M_HQ+(Aeytm|^U>`Lh%aurM6g@kVsC=(?Uu(0d`*7c@Sl20fEUpO&smjNd2wkU%BYHf_&%dB$Prsu7G+;A_F+odc9@W>xXz zc=MSL(v}&GP`j<=ArFv(MV~r!LJHfWNwlu+23k&2G_Vt$q97n_X&;#Yt5A=D|2=M( z#ORnq>Wq^y?REy?U<*W+Pp2!+rDgvsZ#MuqeyZ{4A1mTxSh?T^< zKT4tla{CGARd;{DE!=&&j4e!LPhD=SsXk0Q-D$nn2O#w$k-*ijheYh~PYnTd0`SJh z58RVa%!7{?7jr+yf8q}os9W;9z?|!Foz(hdVkd9sZ0&k!140A4GC6A#uZj2tpg-GX z`Bk}#at`iKbvmw^-=*Rhl%~L({sj7*VR?+E^ky&s%K4hhM%^_$0gMhEUhEdPn984o zAU-Y4V1{Nf=cn5tJt0n%4vzj%p0NzLiA%1~I)9~B4LkoOLoX%v66%-TSOb#2+T2v^ z==Q0Yg?vJXDBM>bo?}74#^sM#m;!V$>Tua@bTP}lBrowD8^^aJy6%V3QZ2HVBuw1e zOND@Tr;p%jh;W#lydO;KEl)0M{qwlkaZ2f?vG(iQ zicL^=<4(^4@N}jPeO82R?vdxhM#rbP8L9?Bi|!b<1tx#~Fu37$muoV+E;YocHmoC! zWddZzXFObET%Eh>Q~jEafWTyDSb)SWZBd_(Lg2K)A)a7?&&hfrFGF&DV|BqiV4qPi zB;0-VH!thQu1k3{Ox+-DB-ixKm|07m z`nhHr_Mms7T|eEgUGEHt&~bk9a-{C%c~#U61`5WN#~)m)C)S{7IJ#PC2N8%sNGB;4U^N{ zea)g698~D13S(JJI0tw~qm8{`;*pzrx5Y48pk}&4%&zylo(D;$7ji6(q66KJn;R3C zCH`o@A@>1RQmazRs?$Y-_leU9q)-Z8( z;ybG(Wq#Hn8>;60ep%M7q0uh;&i)6Up1}N*?WU`mZR(lGUWY*5h3Px^$Ntfhn~E$N zwSQ%~N%w2-=O;UY%$~FTE%@*LZKQ+&LQY+?T7aE&5y$IZVj6( zmllI#Zgk?5c;-V&O4|nxhFEFHX}#g^2fp~6>~=_|-I3jIKSnseP9a(aaUOM=51Oo`fhD(l0NJ2QoGnrqfq<>SqK>ay}F*#P>+alB2E^ir_jj6P9ZOwd(dYdki$ zfo)C7e^&>{zPGNlo_uyp9L$EaHN~Z^3tAJK@8_~VJs9_e)SFp)L$ktet8aX3yT7uy z6=#{0^EI$UX3Rz0P|9b?Da{UAe?lsC_KpX)pdSE*KI-zAApxQUIF@bhEr6?imvmL; zQRxAEFT^x^RtTcrEtk2aq#FS^oh#Ze)#`6yd(g^$_Jc1bYtd(K5@5qj?~^Qo>uioP z2^F5J5O3(tpI^Dm=6+d`_9vVpm6I-MjM|~mvL(n!UG^%meIct`=eL;YC3LxYgXR0m zXSiR_h1SnNruvc@W}FxL<&Vtl{ra-$7MFlV`|U?ysL`+vL=L^8V8#ztHZ@)TYnMf9 zM!`243&HD%)*JJjCY+f3zo z?sPu6DTMI%ZStBQ57`N2e=&z>j!`_T6=i5>^aD%vO^fdYKd?< zNcYuVNhe_6B6z^N7P~GBRiBLHUY!_) z9s>k`gP$@BE`SvY@Q^Q(ABz-+*)1R17kqQ3wNX{V+d5^mt(dv~uHw((34=6O#u>y# zw2YrQwOzq;@O3$$*^=x@Dy#7O=pp!Bw4B-UGQunRg-lv?&AYG}=+R73i{t8>hVd+H z^TK05mUvo2o*iSLPnG-awD4O+f;!PLzK2hbUGv5&N>hUI&`VLX{&mBrnny;P4ci#5 z63m@C{?ghOV^!6uI_2Qwu%CK|ZE0UCAF@Y*@BL)00gIHbojpo*v9e3|x3f+%%&)(v zSRQzAhomDL9AQnX#KHA}JKZn4ak9QAuqbr`cZ%rsUrt-TVOr;A;ndzgB3j*QH0v^B zFq9aGrh(*r8d5ocbmikr^_Rz z8|mu6mE;Rb^tfT8BGDO5gMrP=2XCs5c@ohPjdPXkdNABqtg2MG@k) zGTXL356kR3^$j49*z$+5uv3S*-U?Um6s{z*inZXE{%OJ0rqK4o*+6$|*em_JbKFkj z4xt|96&luw>-@5FLR-0>Cx9>m%6;x*F%4YoTv&aTdP7t06_bU%VV$;Zjmnt}8Fj1U z@%|_YNP&(uy?%SCjb%DOa0^MhOwNO%5aX4%o9fP;Vq@R0$7FlD&~S|;IxpI7{Os@i zlBUnjz$#Hpe8y@IQOPT(PL#O}N#3e=Ml+uQM{~ry5MkPCz4)Dy_BWtMIwzIEEDG-y z$>$%z(s+%=G-UaItxRG71sMje`(@gJ`|ubLkdI;I>~Va1Qh=>i!Tl#tvS`yfNvv4o zQ@WR|?vH7P8cIW$I1%K0SL~cP-YoW`slQp!Xg;%?)Wa&sw=1tj^Wc`6 zQEA5J&-_9uoOD)oZ83^7cO1aC@=r?QG-}-uEx_j4d4CoJ zV}WgXg%GhBh=VYd(z6YFMSk}!)}*WMmJ*(r>UuT+qe>kGCMY36pN1+~h)2Dm0~L;G82VaO8PSs zTUZ2C&2M>hGZ7u)pN4H1h9%_Q9M(=X)4Dhg>WU?}@WHZEF@ch@qj(IMh`@lyFp@|w z0}Ddz`aocvfN&^p zrs!>ZxOWi1GTK8&*h0=pc;D{9&wn{l;UAnsN^ni*POZ)vzjD0SQVtnBq%Bml^{qW! z%|sF=K-v8S-c3mLQ`aBW15i?G)!yBz_)NKsER_NC97z*5J&pI0o>>cv|B(epX_HM# z#`4H>r_A>~^28NngyqdMfYz7u8yyEU4A@orJWH2h`LF{Wyio}#s^vEJd@p9#gP|HW zj$TKv-9qUl-oc%bzLp8pvg<9pt)&!<{>~&r(&zRAaT&Pf)HrDLEEHp_cR`J6(j=(7 zxj$&J(xUbJkk#hCah#)!D-0A_N31ck&xZm}0p0SkV{*@b1)bewm7NmWl`lT&ky@D| zK391*P6j?GiJPwVm`7OZWkhC0eS#dY+1DpXfCNSj23m$xQ(uYeHLKrv-kqIsINuef z=QZNSt~s}Y(r2Y5p)(ASCK0HB&vlsR`K4p`!lZ!VwP3|@fw7ukS9puSD*WmFh4U)y z$}qS7LY+5>j9MIn)>J`AdQ;&>i-6VKS^F75rj*D`cWe9cbPY_bv!k8U#G*ovXq-O# z=vkeD7-Z=K{}1!$*r13~NLJ+ zF9)NjVeX$0EV3+5;==ajX<&z2v}x&b8TaW&JXTe`X9P!$;_geru5t|=A#4vWsGYLe z@0SCq-Ugy$g7qs8wu6mW(%6JcPiFuS{h&Oec~dU6WaP5{T0YsA68CMhnWD5lldJub z^8yJUp8BNFC88HWX;Zepo#OR$)^p zB{QD-S%Y`b>cP0hw#YM1W{RfgKLzDigFbUMHK)|&8HWN0)PK%NSMXy=)%>0deqymN ztzD*E9V=ug|NXcA<^%er0v|}%(u?!BtjQ!u#Mm2TqGz-MamA$k>A)&dvmI1u!4+}e zc1YXn2#Z@q79dtoqajJ_o*Q%D)R+cPqXQK~8hVo@2!1S$*}>t-1p^J9*G4Rx?kU;4zPm5*7G zs_f~I-uk|GCW@9shlHKh8VA;S2DgLk^`gNvxQDL;^|++R?@42t1YGRLE`%<%xx&&( zF46Tv*ROI8F)w5TL}f}&h;s)e%G;*#)681eNiEgc{E592l%#AC2sNs_XR%GlFxs_a z%nb1V=#MgrsT}5%Jf>nc`Wc6(wCWqv?=KD+w%5BS{St$KOps03;abMM$bT-90S3QS zqH<($qWUD>ZGg(np8lvBkM42A>t*bFxDi~4E%kfJsOZSh!-LAu7R1X9I!XW;dCZQ} z<3-(*j`qSe19bxdQQwMgk@gyQ<`KsY}D#9vw7iU z{tc90P>Ark{D*?-EaQDzn5#H+f5HhPy_~_>PyGk2mph z0P(GVSD%TQ+zvSp^cvAo<(j?b5vyP#-lj5OBzju)x?%+dnqNm9OG&OF3kcA^t0;X% z_P%rjf@P=*}k)tqOiXclc{Yd>M zS;2`WZkU2t!!%%^m|7pzdCj=3*V8R#1QQE%!zG~G2|fFuH{1Z}W%sqyr`}dP`FqU{ z=ZNwlM&N0=gv#t20AH@3qi;7~2iXhA16Dzl1sidt<~l(4Vt%OoH*cTr&En)_j0!u4_E;UJ=aHbf^*|g_BT0Gp~H2;8as&Xs0qQ5K@SK zzdeJ{dS-0_Sd4G{2NTQsZmKy}|HlMWZsU(c8sc6Q9yQIZ&vf4LYrAE5ry;7YTm#P1 zkQi1jdX;HvTS4VQpBnO&OTuR2FSwsTNsiX zO0fwc_Q0(2{X0N!x2C{oeXv72LY|3gvD1OwI=|gtycSVPLXU5zYoL?(me(GS$iT=v z>wpo4pRm<8t0^j7pZAQb?2#P-k9F`^G{Wo@IxZ2TUW1`1vPPkjJN&hS!v)YQLJ5TwQCdOX`U)}2wvIs2joZY(M z>fcb&D#?dH!L?m&dJm;x;WZl99|e??xGx1RZ7N)g@K~9X#O%^9H~ph;&~rMeS~J?5 z8{7imkQiX3saiFFDc@g+l6gov+jp)qRulvQawta)$sif%4s5>s*U((_CdP-H-_;_tJ$6eBY%v!w+A=F2}VyqHIL)b~2&@Mi<&dqxiY?6!; zEPr#a1ra&0ovYRj14{Yrb79Qp4$)F`UsSSduaVOl0R?=@FT~go^C5m6kQdj%=4BF@ zDjxNSnel=xI7_`CYEhps9<8x90>tw~BiMCr#mx8?7J$A3rXNPsAI;vtt%Y#d2;Yr3 z6L09*divdOz?Gu#{vOdq1S)GyozxYvvmk$B->Sq|Unt7@!L*=az) zLw1b?h+ z!XhBVlIz0TZ%)7^$6}Y{Gw)k@wp(_!td`T zRC5mbrBW`Xv}Y-ev0|c=9om7?ju3B?Wft+m9du8EQ&%15!-A7FEPP@)j6d&MAKh(*mZw z5glP{)T{B?I^xS*+bWhi$anELw&rb7#z#%MbCy2Ehm}SBW3!=!HI?s7;x>ruWk*{D zaT4aa!kg*2j<$1UzO)YT48rsQs@|w)YK=0-&U_u&9E_%!1X^^ygjHEBSe(QLJRutm zrOK`#{s%d1euYQ12AVpi>aI8GO+2Kb_MY_Fj=2|;w|%r!XBJALY?#QYn_XcAKLnZh zyr`_I^uFjw`v0pV>qw59hmtEO&9U>9{LyVKoqzw_YYwq<{$JP?j~C)qDA(f<)$ZAf z@E76EtIb92IgGrlqt@M(`^xe{cKld;bB#2oY z7=|oZJ%G92HmhV8fx`MYDYM)OCUUTndjmkW%jYQ+hOtvAa(*4E@V?HhaGbM-Co5RWxI@f}EpYah_ioVq*L=Ehe7ko_oyJ0pU-xR-X`7RS@JN#O3lw*Z*U zRtdpf(`{C(d;=I?LAD4x1A~O+70HCgZ22jS{VVojTO-FY$0r|(o;L4w^9Qy8h#^1% zY6(8>)m6RJl4K{~VYmMHklFaR~6%KrIFA08Q)Z9(+ zbX6M$-^mbj1dQHeBNcTJllXIs@b8?cfO|9_UQ>w~SzUPgq5Xs!K*C5O1z|8*b`Msc z`^jo#eO6cW292JIk}B{P?$1H#ortFrl$U^5V?YQA>=PGg0DRq^c9O$h?8W^G^ZE~4k7T?o6 z`cD0`P+2K;VGEbEKuy-uyQQ)1CT_3Tb7aN43x@XcP4bFIn=n;1*($>8Wn+E99d{RP zE9coY0fE2tZ!NIB>k= z?Kr?|AYOoAn*bY6VauLmAu{G1Wl_s?zR!22Ve|ebss-xvVC;;1Z^vN{P&9MOk8=ut zKQZ-QL_dn-KA6!G>=QL&E*KPAVBYj>fI}bwr?n?d6vbOU1A7uZ9N0cOS4)%)Iz{vSp}Dumwo3dZfIO@I*O0O)%)oT>I0ofpyR@ok3E6_ry$Zl+ohDivj7H+dOHnOnnAK zH&mZ8rK!Af${Pj5*tlA~dhg!FAhrQWMxWh&f!Iz01)K`kL+?0 zcFO;neUcR?^9Q94x=)U9=01uqeAaDHK*6!Qe=nJFA_UfbE_u&M$=i#IhFjs{de;j%) zHbR!*|LWluqau$}Mq?LjPCTG;*nI6iCr@c;4*aQDm!tf?mY!ZA02xt47_?nKheUR1Gj+2bwU5zPk!} zI_H0xODM*^A<_O-;GZav=%eUN&lA8f8Z`6l;_7dzAn3fT{1G=zarN=rASCMIqAOwA z8y@-+vptiTw~uxE$HV3rtRF16j5B?*cb?$ZI=3rd@p@etunLhC*Mh3i6HIDOlNx`bqX%L*_BD8E&2wQ!Rh&`k&C9lWr526ELb8kXOKrmQB@%(t8 zN2h4J2h=&f=S@= z*WleHdVKoeuUc?G3RzaQ28n@5rxz@1wjbrbs@9g=4h52pc3%amUz$1T{uO_|I1qB? zKi9y!U%3Bwaxo=at%<^mrbd$qv{R`8+e1;bSP|2Uo@5G*;osID-l72BUx|OWNnN%_D^rKVo;$WH2yr)mcx)bn<oGtS_5Oi#}v^sAaSCpoI=Xglf2%q23iD%N5vn2f0 z?>WAR)u}ubMvvqc>5je3V+k|yY+F|N_lMGJ+M`3d35eR?vjYxBY5n%s@o|T}FlW74 z40S2XT^NGSMUglZ(`#`~G(;JK!fa3adRze~@;@CwrR*p|rdwe~?=6%=nlShr=6)D+ zQr9gH_(3Rkmb$58z$kn z`Nh|h`r$~8THK~J zr}g|rD4jWmE=Em@|9AcXB5@rkZSDW0w0(v^L$CSQc;=cC9Ub?^3Nbmcu#9`$ZxvhY z*EVQI;!b(;cm?auT!Ao2@)FZu#uWpKvG?0S60WM*Hn6(_wta%o)r2DA+axfAw;=eX zXSKC%1sj>WUqi;*H-mdJX|t(PHtD#0>?th`*aW-NQh1+?07N8m>WL zFFV@MJB!;C8x0%1)Zp@>EBc>T_m7@n_(q(Ok0p?T_p-m!ugGzjY7;=S&# zae`*^wl^Y?OAEg`$)0I$0hu=zmp|T;ubIy{S>T@a<}0}{aJu?EHDAq(kDKXMus>z# z{&#lNoN>pTdEYO5VNe9JsFn8ahBDz#*H^dv69PWY{joDG=#ake~4aJ4`BY}4XI0t zOJhsBlaW^NIt2i|VDG|f$i1>tHW_b+E{1@Dt4!cpKw46Vgv9(-obi%wXa-P~?87X< z?_f-c4XmL5Np&l@qOyIx#UtySHh;#TsAJcwLH!vc4}^=#T`p2L;6h($VfsP&3Nes@ zN!;EdilM$kMnV(qv2W(c(cqGTJko2?Z?O za`S$#x#na@u0e;ah?p2Z14P}!2+L>Sjd6vPfB!i%w-NKAaF+!l0ofS_t{N-L z!6s-su8c`?(SG7&Kdm;yZ+$>eNSRD3XaH6w5Zxg0M}!XqAS$kG8dBLOkt%r)3b^*3 zHhKQaQdIS^@6(c(f*>0_Rn--olK@?cZwEuMiDw za@>cy)FAI^KrX}UcOVkESgCx%MMTTTl5pJ^mXLEYYF>$y(15I_@qvH{utk^P@f>}~ zS^>%+EJ7=Y&CX}qtlxg{CS`{1J*WL!X;a1_v)6ucBi?-!Ew-89a_$bd1bxPy!C1t* zlcwR@U5t-I-z7-m%etSkb8Nf`T8!C+eDW@QM>KL$B?Mq6R_$LBSGt|~51u;se;h5a zH}yd8MNJNkX@x_iC*#)YIwzq&)FBWLHA-f)Y2>=GLh9zo<+QP(FEc>CW7Wpao=0^S z(F_S;xA%j-?`b&&5Qa}XZ*+_T(P8q5|2Wv!pQbBcGZ6S9f$C4Ft`=EI@0knBew%sqvT+v_$pYR zzYnVFIe)}p5_(5Z zP0Hdeux5(k4t6<0@tyvmQRJCi)Y4$_;6-K)G~3;J)VDMEdAfF5tfTewHKEBS*2ebF zFZ-!kU0x5rN-{x#!eTRU7JWE~bjDMxV9577hGuZP(2;g##iU&WHkF2JFDD0C!}L`p zwuFA~WP8f@=Z^{))u9Vcoz}U|+;GfquD6n|)4Y&4fH)VD+J!E20E3wV3GK<~7?vRUyGR z>)9hv5OoED?^h7KRKf6JgVtf^B@Sc8znzftg!pbN0ENayf2Cak<4%kyJvOM=?Rpg`M9*%BV*v{}v1_{gm-35DVg<6% zu(D{VtLG|mofPp5t6e0)5NW7*gk3`y5xdvRnzxFR#FYeB8?4Y&{lsLYJnClxxucy@ zJ5AeAA=(gFu{)t+T-6^x{PF3HkBqe5*U4d9SlW>B%6Zf9$F35a_f)iwOZ~v(2Y-(M zpryv@14u+#S8miqML@h(e)~a>D^q)GZZ)&S6EhJDHk>{ldjbU;q7K~-lby%#wF1qH z1vcI5Ny@5P)bQf8SsnDT(~;T3Ty(L9$uhRw4m-R8dXrpd0}LEx2mkApKspcDzauK$ z4si5=zH_d6W&K}eK6dBC%M||GP>9iz*KbN~cO;9_7)STo8T8k<; zKLsq2G=(nbRsgmemUia(Dlf&Gp0{*aTFhcR+khDk9dLmoc^-B6I~VImj@nnw$UJpi$%*Du*bG~qOBj2S z%jE?Y5p(9?=cer7D=MCgno4{Gwg7_6Ed8AN^*}Nnf;y>U-y~QLCf&w2J!g>qMDB0Q z`SWG$uNG?9=4kTqm+XDB%T1_lw2L8?#5_{?FL1|| z$aY%QrDw8=5Oq!QWXEJ1@jNr~qN_^i5hHKEl+v@w zRQ>((uW&>{st#DYXx!yBcb$j;&;aJaJ7BFyIs*ig(nIkiU>)F9ftAWWF9=0VTxJ@` z95wv$a>n+w#r?>KtA?VxECL@krly{eIGx6{Q~E~ccb&I+`p9;r@t>=K4X;*ERqRtN zXy@ELUvy%P;>!R1w*VY6zVZl}SaEv7W@&W3+XbV?U!xG-`J=W+Hg`r;k5vLY#k)1e z2EN(Z)c&ifu-A3)R|~2Lx`FBeDgmy^vCF$+wk1d% zGX*3x#a2KONZsuXkL`MXiAL`!kFld~Hp{$oOtR8ts{lZ-;o&+=sx~-A{?G`ul?JRO zm%h~>7yp(u`GF1Rn;)BQpxmNnaeZgBU}!&Su`FG3v+mP{6LUWkv}LT&8ldQW@J)xI?WLfSI*yfg6?L3m`^Nu?57d#H~MGwK|olz%UFb?vPm zzL{t`#PRdgc+9tpi&4>6E^k@-gUU3_aeouMFNJcQB%>aUtZ1 z&hoGk9WaYaa|RyGq9uUa=p8q zy=Gh}f=>}p{3~ki&L8W5pg`_Ld-SPx>d(g+Sr_Xm##%VhGGk_wbpEr)>6?)BazB{^ zxdC7SBEsyT+=PVqZST~x!Zx1uZx=9N*_qS)rZ*~i@84hh1`8-`}QUym&cS6#kP@tID+MqbkskOpg$^dQR_zR zR^sb?g2+Q7h*Wr`6BEOE_AdNHvK0R*= zr1W|^)U2D0AF-OF(+5>jqs z&8eXo(-D%Z$h>g+P}9sQ(~zvPId9hjiE+K*DtLjOX+}`0=0wjsg0YEPKvLpdxusr{ z#+>83V4j#1O7nwqQp7-PGIV=M(SMrQEaJ+h=z>(sxPpj=LmcBGxTj}?j+bc8Pq`&K zYtNgRz2>pwNL0(<$HTTOHq6!6+<6 zWp~EDfOj|C0`lBG4>CWQ?r)J!A6E+DMw{q_UQ$BemQ~PRR#md&vJiwyb-CvR8{+Xq zp7MAPsN8?*tw|J$l9Wb^#`h{MX7#b@6wVMmw{n}&82pYVvoek)6Z-IRCIIH^0G2CE z*gb^Za(PKV{4TdNx%H)C5q6-$?23|jy3+)DdtP-bhYG^CpL@2en|kLM`$tdi7a~D1 zV@BewmJj=~)N#wWGPPW8V(m9g&%7C1{xvxB6qSQ|dGpa#L@0rWPM6=^5v^vD92&h^ zgz-ljCGZ$V5&%z2D592QlH+d`a!O*BTcV9|vXi zPX-w4Ka14+hgo*n`~Xpd3^l{h8x4RpscRRACf_Xsp8B3YCY;p3jAT9ETgX#;0m_#6 zv5?}Yg;)ZaQ(dw0B>`ZXf5}1Y{hMDZFeidg408S?=aXLG!Xr_aF)PL-BSpxb@#Or^ ze}kgt!N7Zv;6nq&d6P#m5gm)@wJOx)r4Pscrc$x@h35{yA00Y}^$bSbjtV2r^G_mqy;DLC8K-z|UmXx( z|Bu=>z9`V=pu5k5d})#aGrMfTHxlrz|yF7IC+w~9cfAy4;eYJ)af~Iw@`B%)CAu2 za`^yhG3jwoMfrjL%7B$a!`ZEAYe?SYdDV}{0l1)f%>6E2m{s=Cn&MF zXakcijl*tZNl+7FpuId%G$|&SOW4n)r0%hw4Kyshzoi>~PCS5tTW%ml>~oTAJAF^x zwZij+4nD+7wp>F{lj7ba>eL+cmNmEGS)}LHYH>TEPw!_J({jyKYkrD=){7{k{K_H? zyk+Lrrx!B83w5V|tO$6r+Lt!BKHFrcMm;Y+dgP^a@MVwJ(nrJ0BU$@SE@3OZ7REJr z*|&tf$f`EnbgfWL|HS6~|8z|3*di1a(OcAK>4yq8|E_4X|2RVI*F8@{ihpaz_8tlM z{`4o0mlAv~;r?@Ws3lJ<^h1GGIycsOv+^LT{r^;iLH*ZWe{?H=Q1Jy-BQ} zxkX2U zgNvQ%=w3^$jA!_nwOkSG7Y+PJlt~Y znA1n~S<4^@M*_Ou>%E8!6}NsBj#b1JvCWQt$n1^#vSe{WQBmfC5ZL3~m0q*wA}gOi z$RmY4s~4v5JT1G_NY767ob@Kx7v1 z#uNZ(6P`A5vkz4jvVUW+(_35XQ9*E>wXjNxMVk{h6WWeyZ99ZZoe;|($jD_cna$hn zamhl{axGSgT48QlfW(a6ZKq(lEU|zRH61PbE=4WY$OQY0$puaF#geCKM2u#EpYrgPIlTxJo7ZM$d%^yCFxmqi&5CQ#c6v&Eil*c0zV; z757n=$GRMgZ%iM}q&abd zLoc=3q!|fU@Iqt$9W3AYzJ!^P7H2Yb?V`3BF&W90Zo28&j*rhs)j#>NbNJ{Db{{6U z&>HlicE|aN1M$63MPKniyMHoLc1*kta&e|hj7d7PpjmcBM_YRl*ajR|!k=QAtSOv2 z%A2d`E;zOYF+&*37o*`bqONxZVr29{x;~IVcgA}fp+>ugxhKBBY@xP!_TX~!^+NkL`&>)!jNNIBY4KsT*End_v1Zb3pIgy2 zULI4TnsaeRwRNm>!E9VuZora(;^#vYCDtUtqg2YA&4iAJSsouIig$XZc62|WJ_)@PB(!s z$1$}rAs-N@1|=5d?$@nFe^ebuD6nj2>PFRQ&j7a=#}<^{91V(Ffv}rVrlS$k0=4l? zNT#CocplYNPce|QmX0Yq0_?1f--v5@P#P|RXFJ|iN26W`6w)0RaKK`ATc{%veQzF z)oG{crl)N1F>sbhJS|@~OB9M-_XYbf*ycYxo}yt_5T;vd5y-m4do(hCZCn_6(`?JK z^=%P6HV!x3mGEZE*6!YGCWY)_Wi5g??VR%Q{A@%Gm5472QnwIb@#HGHtZ6~Ln-So| z=>}@`mQsfc>OT788$|mVp>AJ#u_CT{JK^E!twtyU@nLF{FM4iS^3rDh-a-5{E_^Be zFl}cO+cp_S$<(n(9j>Rtz6$X;f@g@BLuJPy_reFvaohUpcRQ_9id}1bitL<B2z4wpSuNjg z7EDb0iL{-5Di|JVwjioeE|lo{l(5X1S5|Pu=j}=OyL4irSATW1jvHhx?x8MGH}7sYd{-)DzJSLn!1f>_suTG^{?EU%Q< zL<@l^bluX7FJi%a1|QSJjxVpm*I$Zp7AW*Ps*Hz1@VuaAThU3%a!lXXYo~WiIrqcw zVJ)=H2L4)Oy4K6(X*_7=%V5OL)kxOl@$s5;QG%YWtL_)OE3Ku-N&Qf# zV~!1M5qbvxn#zyNYlBx5v`Z**c8`nY3KDyEZF}Ry7d)i|Frk_R&=FjGyR`V3^vMzCp?P<})< zz`k8=JbH8B=XUT;-(^go@D*#JW%lZ?zOT2Xw68JiJ0SF`Um{zTbdis56o#c~xosRX)d&+H->~sCtfq zy7u?Tn4A==@B*euJIpxaNe+_*PT*5UfdE~r7>*_Vldp0(9i6#YgdR_Kk<}Oq~zK4#=$6n+*u|n z4z9V3JmIg?uEOZ1fT>dp3bND!HX|aqX5m?fxGX(48F2eyvVI#TvzJ$KM(F~*E11tG zOzYPkL42!J;SnUi(?ML5^m{?)`(NOI4QqE3>(7SmSf}N6n*6{tT_5b@ ztj!MF76!}Jc#uF?7b@+7Zb$nxQ+7xdD=UO%$s%waeO-}%oh1GdY3j_TM;+Z49`IC) zKY6=YT$J^&4ct)l!rSuid$+FZ%jN8m?jnD-MImU9no*=7v2706SVnEDF@1}Jm$(e< zkaI`gAl`MkQ>78fg=;%pU(K&g$9pgl=i%Pj7GJ{ezHxUmM9ZMczsarAx>9}cgo-9+ zpD=kMPYVfypp$|Wx^89Q|Mun_{Sm&n%d%nCfqq@_TV2G`b*Ocx| ztc;S*N@Oe9(e(10YXcb-%*&hCVb}JwEchlXEWdn* zQf+>~LU`Nf9^P$4;7b29BuyiL`QPkMAyhC|5r*zJ%PybJGPXWjfsr%n0YEhm!aR@E zdvxkmq6+|A4X`tB4hCH1&s*|baqk13@T(0sDEHrs zYLJC{imQ2(IsMGFQLkERk<2e^$cv^ zVqizW)R(xf1GtVbyPvAv{rZq)a70eflx;dM>r^FD_2Ps%5TDyPQAa_uV}FFO`(@n(e+yz67Lg_mvUQ8)Mr|5#zem~Afv5IPExcFrgqbT$I! z?L3(u!eO=7P{IZJO zN8Ha7mYg&6C?~b=lKvg`$VtbO+V`pK9#w6j>f7jPNjHn@Q9B;$=^tN2q4{U9oZo=r zr`UB<#6xX)Fjp(dF`W_Mjx=9hhq5UADT-sdAba<$PiD#ATJH2i_onekAkIJUaL}q7 zEVJ+fKUVQPLBXUgqh$J(NO0UaTCUqAcn_>c2BB!b0itY^lxUl}b7_nG6{NSyh#e1q zkz&AdzG1BOdM8pYX=`3yg8vt4{pAMNE~hqYgQBv@PWZX_<_jgXRS1c-9igo@NLyPU z&DF?cPiOe;wp9gP92<+uo-RoL)mDz;t)-rH^fXK3&UA^ANEUVflyfJ#CUY9n2>mz> zT=lG>MNmelD$w-~6jihYwqZ9k06xt;QQ_5^B&}lUXuADT_5t}4o9E8HbJIW>l%2&; z`4zK7oEKiA@Z5R0o61`QGC)q4Ftb*?xey5f6l9ju++k>Hc#GUNUAXDoOq;%j7> zJ9BX4;9w9T-UED2%}1zg;=mvd%XqVpW>~PL!-k;P@{)W;7X(#bsk1L5M`=l%-2!lJ zqkfEhQn6$!_^cm#3!gfWez$FETquV(I1gU!25cV_6-|9n)H@c1C?fbUg53~#f@@O? zfxDE+C@CoU?O3Ep$-y8sdCY|A-FWu=RPZZd+?}0TA8a30be=FJ;QZ|YktHnd5d}UI=jf`QaiYA;{DBmXC)e5>wVDF zE=Fnxb_U~cBhULIGSt6faTbHKfoYn*UU-r(NCI5YpB|VAeN@C}O16?;@9W-qoCjII zx)-m=?0adqdqJNWlMfx#BR-iW9*>R7TJdw(sO^PJXfz~1Zb2*FftPe!8_Ff?ENav2 zk>Fsg&5J-(RltEl7#P^08uhHX@`$31-F?)~mQ{RB{d5Bdapw>RZy`ycL6V*j3GB1e z#!w}&a<`t<;Ci|}Ua10Xz z_jY#WPvQg>E&I?&PQClwkFLEmXoB+6B%R`iB`2( z_9VK{L-s-RxH$FBDNAYoIM)^{=U0*@CP_|y;Nq{*tcS4-lJm|Je@h&Ab{-M}OxqMd zLa{jC17vQNuhM|!Bi8d0?N`wJHb(>`7Gdw)*qATqvo!K$N=b{B#zrJ?dqDd=Q8|f6 z6hwkU7bm~KUgkwq{UIr5xYpJt$6*nss_!$&S1EFl`bCA2C*4lNNSvgNT%ZSkh1T7a zZWjxoX-x&s4(mkx+QCm($smD z-oF;iY%8N33q04H#pL@#T*N(`xD~Wo{&GR_zzF*OZ21aVd9F36OoxuJ! zz}cbwbZO9Ko)<|e^Z;kH0T=>SNHn^@ifUXyyZ~lgaAjv3fUu(?kS+2V${HJh9*3ma zJ}hvh05tyqB&O{fkUDN|M6DUouoAYt`bfGML{(Z5CR@J#g?S9jv&+0JN6E|{kpSE)>KEG2oCDSF8Q1R{fEy`bk~5S*Z3sE z&WJeY34pBqab>PMU*0ZcR08W%2;`Woq1JvJW}L0rrh_Yqi>D6f)F~QT4|ELVU>hJ! zqLJTkvLX73uqJAEJ7ow^i@}Ee<%?}q$%wZ?lfV;TIqlJQ5K<(Jo-MNkN_bk^E5@~f zGm1nzW~qmXvMQL$^RKLkSX-6m^9jhs1FW6{?NpIIbA0b++gSxAZ+oM9xd(|x|^QU~wuezI417kCvigvPiAty_c{;FL9!95}^-wQGDI-jk#O zBK z`8uoIfWxOc3Y-&O2R7fC*Pr!U@xDf0veg)NF~<(=RjcXz!*pjcUHz78uF^tfULNw- zLo?fD@gtKh+o|M@DAA_7zRX5WhXs_@$zgaD6U9qJoIzIvMBwWUrK6fLYjX6&y-@pt}Ia8iK?rlVA>Vodxu+ zovPtQ4Pn$X01z9AlbDWTSnWf~{w+8+c?e)zmxL3wAUpgQDDrQ=2uR#D;;uC}a z_(kfLqgb4TD;JrbVgCn4#4l{`1>HSQPWp3yC#3uvlxFo}PK%NG7kulIph*7g)}g_fO(C^ zX650w`tH^+W6%Y6ABE zH(^`-2mk!l|Eq>o_f^0CoY!NJ$fI9`6j7w!hewfsPz$z`d%*QkMoW{eMx!-BM!?EN zS;Ru4DxBzQDYkVS2Ah019o zsC{T^K>eIbjfH(;fYCt?YfWJACMtIos%6P1YcdzdHefps|h~mXQ z%O%Tb|Na%sO3QOt&PG?WkUMk)5P6vDcX(AQm+F3=8ySMjUet<7#K=IK3b~%?iBuMH zv6B(#F8}DW|CBJ+Df#x$-xi^W;=L{108-ALy$3WZ0FGj^BIt2EhET#?_vb+#3+AF=MtGGlMAa@u|eu}=Fsp3&_?t4Of>QZ zNf3cdmrm^rSUgQba(_!igLfRvd4S>$`5VC$1Oo6c*87bjmnQ9XIpVvKHM302;PKZ> zkWVKSV9oTgb^|9q5+KCFvQKd<8^P`V6$s|-8vRjhmL*Ni(+0_^!Sc!CMx=M!GV;6B z$JXOKwu+IP*`_xhg{hEYknUY1;6E%;gPXd%Sx?Dol(TpFdd7mE_xg!`=jB!qvVSKG z;yWjqxbP6Vi4jPqWoRCC`wjvCxir_-@lBh><1`?~XDKwq>!={JCRNwgvz^4#n;wC8ch)n$g1a3|^Gp*?niQ!b6Z-Qh92M2^6 z8Uf;}*M`&!@9~F6*_uNSXCc|0J^h^I1*YE=*`$0$9IG)vW?0o__bJ`3jkJl9* zJ@sP>gL`|~Vg{SNKrPY4-%GukI|R|4U`{lOwwB`Vyguc72jbh42lZSJ>)&oqNJuCJ~((T(M!McS%fI?fL!dZZ|%xNk*`hlJj}U-oH=V7!}e z^PMX}B|X~9ooj2xtBh)MmA(HWID2$Yd6%$1Ftt&!E+vYo-o9pjZ1bJI;Jd=LWo)mB ztAg~K@7koAPAp-^oNk@)dcrQ*94B&%-xgW@6sHfqLdK%j0VpXa6!67k{NaRv*Q>$S~9Di>}km%k6a-;r{pYQVz}US+w2 z?RAcRNCk&PQjb}=*;=M5^ir&1t7-F)S{Ub|Ot_FdYg1m;SjRalQIq-?ivjA+!$%m6 zU#YygMn_@WwnoaL@y4R+hJ5Os=P$J%22rZF*IFH%X*_X9dy~}u-ktfua)+gew`Zwzy_A8c!1lg}wy zWI0tcMC=M!R|upa=q_Iq03|8IiKZCOw!;c9RtFtKOW)+@--uSZak!Cj&d!<2-L2^X z@6_y#VApX^`{--g&dIM9O*>(wS#Px!b!^F4boY%5_GNEPNGU5TU-R}883I+Ms=9j3~Ep3loQhVD(HE_Gs!F@30WZb%@?z9WLPqU7rhEFbjo_l%I z%UNTs`J}aSswLN1ccbKr?q!j<@fQ~AeFe5{^R(zeMHidy?3eS!bfO*uhF412FSt8n zHqBRRPtaA?M8{oO!k!{P=O52rUcxTFUZ*4NaYtwEvEeuv7I{?Mz!bq@mlw|nbXe1; z2&&(!2KwlDyr$NB3u%jk7X_XbuU}firnq3(z=cvhtbMw4nv~4U#$h4D-aQ+p3}3H* zZH;26cndD)yu%(AJ(OpnT+5?Jd_kzQB+lK*XI*UQL)ES1&UfMy2NLkBA_>FszZGHQ zC_I)M=(j)Rs3~~+dB=-`QP!VkT&>Ld(Q)(ERJ6X{f`afBr{*c@=*3T%GI&*zKiVRq z4?d8IKH9JIDzR#+FrdpSV*B+{{U`Nouak3kc|DH1fBs5&>HL^TYTRrS)zJvz@b&1J zDwn2#n;8x#KBX53Wxp%kNXUCnyB6cU%snK6y8Zr3VF86>UssM9T$Nd?Re3rbS1jdK z)kJpbHexA(I+|{oUV%AEAe7v+D!wDiDG1fEoK4N#GF@pz3rKfT-c_S z$qsAVzJSj)`}xfW#qo_R{zZ$q1n=?ot^0eZjNO&b(e?h>sl6Z3F~2>amss}0Sk(3B z9U~UucO95E2u*WwdW6Vqoc?d|bLs;^_W{B&=cYN7PCf zhjEUNJrP?(l*Z@zLXa}9S}*gV3X%C0IkcvjnXix-i;gzY-i?icHT>&wKf=QL_dQMq z9v9r9KyBsrv>UXcW}|gHHtk&ot&qzxU-R?w@WA0D@ofzH%x!e|kEuX@qQ2=_v~FcR zL29N~i?{b9;*+}fIF$wsxZ;GJa$fbB`yHc1p`e^S*GPs$;p!y0$M`_I9;@swkB=JaHWGV2@_d0sMlCPPr(Z!JvJ}`4q@I;H6+Q`X z{7?wY`v!SjR?O8(>|U0eH)d#;t7lc9O$FfgE6Y%Akqdh7vCMKePdmChR5$D~e@Hj5 zNMI>N_&(Tc7O$qD!nszBS0fG$y02TPmEEFnsJi8PL7LL_<--gJ4fuE5;J5&XAD_8uvy1D>i_yQdB7 zL%QR8Ke{Y`j|Jy=V)^u|^h?|C6>TS)j^+DlQ(S;MBm0LyOv!MpE;Pruner5$c?1yb zE-r<~>!lPe9xuX7py&tFcrRMZTgIKZ_EC+29f_hI?9Qsa_pTa97fJjM~`#GAJRWjDRUje{oC$>|9Zv?S^k(gZ~%2c=92hz zOigjJ>%MmXGK2f)*8qhqwCgmI`wj8GJe)f1Kq1*NW=X+cO?u3FRctZp**YKZ;LU&A z7-X%+yJBQfvknE4|I6d{*f;oM+G+S+M%1h6BF~lSPL{6sj?*Dx?1Ra2q(19pN|;?2 zqLsnZdh$5ktUIge^`%Yu@2@g58~x-+#si4EGOp~TrHtw$Rt zYT0kRvM3gl%ey{MVt;&9fV-#daJ|T^;G0Cd=aCBn#vebiV0N+-uC6t^v3Dy(xRBBlY9BBM}#F^F;fcIJBSB?38**B2`K8bX?jhm{Jg8mWSA z>ok*NR^xPZcQc;$t1t=PS|Cn7fEJIm>q)9grqX4oPG%e_8tKh7zH%ZFwVsyb{+&@^ zDx7qa+k$IZB$XnvsP8KIN=od}jk=Vl+7>S1L-<5p5TS^?*RGw{pLS8)KG--T*7}T; z$sJ3%`H;JkS!&Hp^l9V16`_KxD~lTj@Rb=P1dm=v83L9X`Ut&;RLksKbHf`Xb&b4sHlytk_akUg;#}9lxz$VPVnM z>pW?C%1rBY_UYhiBL!>%%8;-y60`I9-Lh55_JJKQo>~`LY_?5obov&|w| zh?2HY`7bE4_A~ly#jm>rG7TxP{GfP!wP@+Iqo&MKsjRe8#QV)yIU06H4JLmYG%Nxy z^tPkAN|VfXC20M(#r8i-+GjJ_$E#` zYBr(oP%=JsvhOdpH6~ZWUdsIppNEfQ}Oua`<+cg?zo} z*s)_yDzTHKu|<7>Zm$Ws-Ox+5rI;K(tNkFSKthvvM`k&Cx^r&0jKpl+hW!Vox@g|<+!&KeZ)k z5ROg0;rNFG?!V9bm!aD^ss8tjUrTb`Fumrl^K&vDQ^I}K`x!k*h2D})Ig9acmj{Iw z_?SY@N8>mC{owp{mQ%>WDUN?*-~`Ej7jgeFi;7P=ddIJoOarB%@!Y&8N0QI{Gxhq) zY%s8L>)_@MaOl~qlLAlfZ^}KS>{ub4XjpvD(>(Pt@d!!Uaf>pOlO+*tTctqVlBlLD9By<@!b?c4p_3%G`}B-j2X4r z?z=J-lqr9I;Q5pmHu)+0a>se?VgOG*o+kg+Uz`hEC?+mIBBwfD2E*;-EID>l*IIQ# z*mWv2Q?A6ZBP>NkN60@ZtkTTQt=yPF@Nw;f{r2RlIshRiwAc1}#P^C}Ov9A;kCLzk zhO(%P+oWY?h6>n@j~>R!WaTLOg6RbC&M4qG$7hAz0qx=P*m8{&aVZF;TbeV`7t5z@@jg8{LwYw3v|hVczUYRtYmFjzx0c;k!p4SVLSTKN%j%pB)N;rv zC@6dx2_)RNY$wmbTnNc3C@cP+2@I?pmKLT`Nx1?8w5E7D^VL)+dZ`a#Qg$UkqFe#s zkJs##eSz4uaARgdLIRQvjejzvNwlb&JzV$T< z=ug9lF2>$reRchwF`-mik^M|pEj;0y2@*#GAvoJ@)+{Ja`DgVRtIwZU zNWv|ZbBnO)^P8fB2Pq2*3c8A!L!DMFOnDWD7qX97q|Px}ayV*OQ)New(M@+#WS{6*y;;Mj3v{>IXfBl(q?gIR%M7Us>ZUoAq_0vC!;5aS7MBxUHx&62`Tzyef7s?Wo?mB_o%2yvPVC!1==}iJ8egHO+5j%liowrg~ zE#4;QJJvpb04v0c-2{F`Blg&ROp?XY( z#J+>-c~R=h%-n#+u$E%GZ2jzwmAi6eqWnnL+_%uUtKWLs7uPRJ-|j=ZbyvykMjx9S zyp1oTMiRt8m4bLSd`tI&A=>MqHbh*J=z)+eUA;5DIn~)>Wb_=BZqCco^nlh}^5E2b zVgMmYR>w!>Pi{f-Kavg&$$D@Wg{JTHIY8!!!S&k*IDch&z z>9TyllO+tNJ6_V~I^Yu)ZEl zEwe&;Iz_69+7ets>ry;_-puNIgmsF2lMCIGylH@$^H$r9 z54o?^>lB3hHBQUgs z7h_s&r?Jo#_hchGU0Xo8p~x-#v1sa5p-*z*?4fY6ePTz}$_fY}O587*vOOcV_4Ag? z&;=u&D{iq~ye6#E;VT`bj`L;4XYvaQ>Y!35%0acbVA?e$tP4qNUki|%pZHcbQC9FV zQv>Qo!xszQzA@S;Y*=!NgV4}zC2CRcJsMAPg6;J%yF|;z>C>kdnxvim#!^yJ;!7FB z6z6B>GH!`T&wqYH`)1@&qiSD%ft6WXL5|zHgW378Zt$k6p9QEeI4drjI?mEB^s-dg zTUTcLO7a2es|@?GS#hwdgUK7!Xpm76YZAhl)H)iiQhK5NrcDKLT%}Bbg@~1tn@){- zUsp5HYOe5d|KtXxMy~d0Wh{p*ul5806=_+ z0EhrND1B9u%T5qe?X8KVff&g6)Q5(dZ3)xLdVwj&h4}64$$pMGC$!hsOS!#Nc&RP1 zB`~mw6VekewpWw3u|vjT)0DZ>i+TiqBj7@jRWyARP$eE0lZ!SPp`>;Nx~%O%hnv>m z<>@z8ZwUe{+P{dalA#(@zYZIKz#eZvtRc^&J%zJYF2#OpSmk(Oetxq1LjLfb!`ap; zn+fqhipu4EN72M1HAmk%ZbaUvem40>^=2f>qs8>lSb0fbAX8lM9G`(~pMy&z zu}aHLLdP;~M_umZW5o*a<$*`?Pgv#(hO+{S!aL75ZN;nf@g;aj02ot$ep!SxkFH;z zCoP0FX7LsMCU0>p^?ms!7Uf|WBPh6^C1g;HKIbgdLYE4(g5I8NwcP4h#Z_Eq$#-yhQgKV1NiLv}Fp@f3le2KM5f2;zDG#H2*i)89W3G`l<+ zfNBa=F4A)E*NerMkZav*-R?7}LeAgKCs)*V68I(rCFwDWak%5;Z}a$nHe9e;pW0YX zyJB;b_OJM3=h=~v$3`5;;|h@%|G1WRcMu1X=K#fnGoZLuJ^|r?C3qbO$9sjr?ZDIy zZewE{?KG3Ew!SoV{6hUlKT8@1eq= zkG|mS*c?qY|MLljB*a6Hc}1KS3|yKKjza9}b0=7~vkFifoii~K0rz7&e%q03Y{rg6 zZr6jvQ=be%*aA?=2r~D>u5(`=;2z(2mP7e_S`hnM6Aj$Km5CN$U286;p!U4-67tHE zvt>^v7RKP(OH!SsMj7mO1opA2L|~sa8{?&}c;uG0m_{h2`nE>Rjb^O^Do&3KDZA#m zkFjU1zkd;ru=xK6Q2&El&U&PpqE5LrSQsN zu5oi%vRrs?eOJSDXZjc@V-&;@rKu2*tUnwBxlK9<$C5UU$3|95z;c_IndS0(Q&4wM zq$)f&ny-Y2%Ea7!iJY!K-z@yLK#U42q6&CTS^3s{^L{un&>k$0w`s(dZkLAO*dNTQ zCI=PHO3FT!qXqo49D`coo(ea(ZzzV_xT!&;ejdb30!vB+)e6ibg`pq{a!w&flPfB; zp`a@&Q4jG#5}Oa<30e%632>Nv*6^Qhf-;e?GKjwx;8u-^1@s8j_PNuaUF?>J*4T-+;vlzW1Dvn=WBmQp zEH^U(ySi>Vfr5&S$DFyDnVGH1_!Dx0w(^%5V@U16piY1_+>YK?uV+*NH4F9N@Qebp zwQ)A(U;vPsQjJLje+rm&u_C1v!iBl}z%Ig?64>pq*{w!G2>vvq53^rCuK`UVeD`%j zoS06N$f{;53)VpJpgZtsn?tavT(5#5nHF zF8j;XJ3^c5v>XRMeu+;dWch>rKpLJFA%k7cS5VvY+nTTgDumTnn9WMDdXVoy}@X9NEEsfYCPw<8zJc@1rCZDYTD|N6nUFug(J zl(pXW*5(4i_IH9qF57U^1c&OUzhixMFi;uMywZCEK@6-!96CPK-6nyF8sy#y(spp9 zN5SuM9Te1pOON7#a5I{j{qiM|TbS2SM^_hv$IlN`8+^I@4F?MN{%9|zcebkgdm4X_ zsE|yn!qsW6?mdiUPxi>C00LF4XM0BtZ29$cusf!i0>e^!ygW}+5>EYlucI)0DE^Go zzx&D4l=$*DAh$d~W&9Z?90Qqn_i|H!u&7FiJE9FjiLR&dn8_x1bvO`@~uEv1t#ihYi~!KKF_ zkD!p}mMT&#Hj$V4LQO|cBu}ffKHe#!x4^6FWQR^YatysT@Ja2CSaJ(rF_@mP>SZUV z@+`u-ADe!k5&$&*{t`uSI8pX5`m>?`2%& z$0W<4D6wm86{11KA}%YJfoUZ^Sn4p#tlHhxH6Ga|8!<}CJ403$bvB-gOhysSpok_@ z8s_I^-#ozG%HmT5@Do+?H0JCGsa4>1%dzQfFRVGw`>1#H(KQ`K@@~zMr^9u)fB5lV z?pvwnZa~M+2XHzaR+yRljy1qBWmh&aOmtH^d&SVS51%+(#i=Y$o=kVe*KajC+_z_D zk|0V;EJccRN%JJHd*wX4(xRW4nDWTN%%`dwb7^aIL@F>GX=AIs%^maiQmPH7U79+I z%6g--(l3>zxMM?RVbIn+legcwa!a>J(>Ikbf5^~Ovuwh*Fg0F-MG$ot>f^DV$lZi6 zwcKSDKRWh7&q-j;NM}53*Lf~ zZe8|J#(5L-t{0WBdx~vS^U3Pd9k_y{@X0SwYg-6yJ1fj5xy+_A&CJZ$>QrZz1A@cY z*x1;mZ<>vkqur!2R6rjLfcL8Vy(}+*fF5X8l}nuk!^;v;HeZ%hOk@LOxg0eEtdJm+H-@xuEntMq?Z;#mo>HLNiEvv=D(ob z=xVp=j`i{lET`M+zYjRf@*~zZTqG^hWC{lLCT%BCKzH%0=o*$EPABL^R~?nnULQ|F zoWrU;J*+VhC!ONTk1U+Qehv7gT{w3`4q$X!RIw{U?XjTJmF_9)x>eFATZH2W=?Mao zp?Z(>EwRX0s+i!dp@1!_t5L@{-+f2VH4o8k5iryiXhE{-d)YV7dsU)$Q*{cWgB{A` z$*4PYs)2E4Pu=vO$d0oU$YB>X(Vk=E)NuQ<5Ws%c1{0D3gXjaNU?5A2D^(-f z3YNu$fRvU}l|0*9wHjSLx{>TkJaM0{Qgt$1E!%U7+Cm7m$PrmJzo}&N2?w{|>s$&R zm)R#dk76?g1TdVqZoy*RtpYF_c4C>JSxUhywYAflSsz5TY^B{_(mJb|m#4FIp46w~ zh5CLHe7e5K?_=v(`mO7YlVm(CPSvKUqX#9x+%k|dF>5mQ;EcZLZn`=V#ANY&OV?c_ zRK3pB%aRp(pEm^>RO%s@Q8E_ly5>@H- z8iKI2JFS#5_yTEBv)9+8rJ-I*{B4ID6m81~5v$ zen;Nvvwz@)eee1`2*f8KPb#jNv-hC?H{X2A<5^{S-c()OXCE!7_mHJFPomqqTXP;~ zC>K?qSNdw)oN#&lH~8TmDjx?<*ZhtX*8gz25_;WhRUw?~E4;EbzrA$@lIb_pD&5Ng z22lpVdp2oGrx%*Qtmm?uY$3y`!Q9`_w>;qTq;%r^*gJu!Ff3+pr=U!vA2kHGl9D3y zvLyhg;c`&+D{=~bpFf`yg9}H;5W!q|+X4ITS_r0CfnQ}9-=h3DbpNQHf_ZC9!%qA? zd^=fpR!?6%Ld(7ag^J}&tJ;wOF-r;+MUmy}E`tJaC{af8SwtadMpNgZMK(4z8%WvL z0f5eSMfk@9`3TMg>SHW_OWwBuI1-U1CcQt$R)$6FaX3Ny{9U;9Zu}U&DK%uBR(z$i zKZJUGXWeEGh=LjkD7gAWkLx?NF7VX0GO zwl}}NT-JTHbf^}}o|Ru$boc^(RTHYBt;T$+Z;wNdi~utooS7F}$oD519#aQS9{3vI zzC>$cX}N+|KXc?gDBsm`TLgwWr?(DmjPr{>d$#{iP}F)bb+`wEMfQ1BS0ADDo2ffA z+y_0jH!Bi~v2k>uiot0rIb67%;1t&-q;wo96Ec`;OSXX!+gCKbMTAYW=xPPJGrL43 z*B^GTf$W!YNm}3V)UR)b`+9zpE9sEo(9_M?Kf-k~Od?hEsAcB9qTVHd$s{%>^0);qUigAlgqoh1#>f&{;`K zQL9^#M=LjHt;XPjprfJnP=0j|g7l>U#>||bhpP_neS4Z9EC}yc{#&}8yjqxhj8psv z96Bx(z)Cl*#co}Vqn%uJeG7M$v>kVa`Zg{AbDAx{&n$i?Rj%JGF!hE-VCsgS;Lp^9 z!P>#1EK1l5gKn!@h$Lb1l{iuDTAEB3D2E$^EsLK&|CB<=wLMjhWGMdgzD&~%dYHZP zl1YLB4NmX92Z9kUG-YzxtQBf`09t%vJQe4THfdf~PE}miw916L?q2YkRk{Q4xZ>Kz z4IWP@C|Pw;l6M$WA=0vm2cO3X+Sd)t*}?ivR2gI2kLXf|wb-?s&tjU*dB7&U*>e@kq8q}Ys2=Ce621?XH81J8);U`grYAC%!GjVrMc#A=Q;{G^^5>eXafep`(cDDE=^Y@`>$uL+vq8Td4#=r%_Ox2!;YJ zMY{uvLUoH1&EY+{#u_p-m4JASFXVFFHa8Cu_d2ZRSCI`~?^1u5k(%&9efqsS`Fb*h zlM_%4Ns+zXvJ2T{@7-3& z-mB~_+-6dtkiBoC?5*5J_V>8-JWupK@9+J6zyEQM^S-Y0I?v-g#^>`nj-8^T1`#{a zsjjSB^i~z$#Rpv~WygW08HjGu_)+J%DPh)yU536|FFr?Kp)jWcV^dvrPK^a>%}r{5 z)taZgQn{zRv`W#}>~#dwA;gt22~Upc>HU?!f@^3zmLROIPP>FhB&)u!1UyA}oVN4n z$>{AnOONUOFZ67HglUteBk067KwWjQYs!bX7;2}w%<5LzE!7;k6F;W1c^(};bq9)s z%Ye8la9gwC-$7(zA$8iS*`VGIP;Ue1e$#d5RW|^&y9aY)4qhXxze900Wchbw08*rRo?} zxB6yP5CRXQ>NiF}Ktm=cOA{^UFxO{jBnS%6NR}2rYHit?S9;M_x@=E`#4dgG&{>;G zh=U4s)GAV;9x*dE{wNrbhuD={Ju_`=el+;|vd4j^;9A#I!P_13W!P)$Zt5bIHrI1& zCJBXKmWrSll00itAayNdg@yW`E$Z-eHt+H@e{MPyvMtM|7;|Owb8QFvR03w~iD+_t zP5EfvwoBrTC&{^Vj=_SrEnfw@%jY=Hg6_BRLs*cwXf~S5#(^@?Jgkm4QfjB;;PUuS zhwVMj6V@TOeWL5kR`oTqu6-Vq3(k`xq;Ym_k~Y9h{RE;-Co}AH*XmK%JuRkV>=arS zOvRW75M3SK@d*8_n(MmR)x3f?0g7Tbb?jOGKb7IUYCbFWGS8ju{sUj2XeIDkk)I~b zeZF+U0G2JTZ=^}c7%2QK(@fe^T(hddK45pNuHW>W3^Hl;q^R$fGkO;&E znZ<+(cnnt45Y3k?op=jq)H8K7;X2vT9U;Z~{c1Ha{msUmJgT2YHfqL&9Ipq2O#F^L~e1YRGCw!bcDUjd3>}*#8!i>S%zwqwMlFVMzyp_ zam8^5U%uJfr0n`dv11#M2~bHEcKY~AX{-7j<<-Jk_rXhJ<>}=^HIB+vlmdl=bIE2S zLaS<;o-JE~H6hLPfb^`GfNAv%xG|ss@JtUpyKdbMr;+}ERV{1T)d?$!1(LGn=NYLK zI8!vo+hh9Osh-~$vek(%H>owL8M8#0d>G~78q*@}INS44t)*XU3N(&*fGd$dN$w?@ zf?#f-7ocL`Qr>%FX7vdzMHK2hxUTj&Qg(y9X(@HYd?q7#j5C1ku!%rT9Jmc>8B3I4 zI>_G0Wf^HA3=Tx%ne1K)$(lK$qZ7j)>4y_-cfN*>f8QGJD!zM1%Z1aQKL-wi9~>c-IyB3^ zLxQ*_n0fakmO2Y^#y_`|ZVyusZP`Sn_{ArB^m1^pRXKI$NA)>KI5khLl1w;~R+VKg zxj7n{F?&Rx^VyIMgpYvw8GRyTb^J-Ocgdh$;a!PX4I5}S9Y#&c2YYHP z@zLoZzy(d2oWB#YOQuL}`sa?(8Zhv^v&c*?X?d1s@eC@mt zq;I9C#zmF$wQQO3R=OJlOsZmYv7vOpK0z(_LyVAnS*&)SVg4Vt_j$;i;DTJL;sZ+O zZ^6|Rp`FzFH+l*GkZ>IrNubNnuj@IiUIsrXlGiq6b4uQGk(#<=X}y6dcVg2W)S1AO zcfJ9RV{_?iS-W26Xo6LSS2e`5GBYvk#R1(s+*DAVS^`Jc(LPp3a0+~ttq$|S3TJ1u zjyn`03_CMa9g0oDYlzQzM^2I0h2HTbpblc$Ye(J!5+IM}eJ`F}6FL>22N2g0Wa)eS zN|A&Tkt7tU#-n*)yCVD|8^D>>gZOYTRYIHeU3UJCa^mKX%RYTOc<$K*T1ic(Pl>#->_OK<7m< zevj=Pco_6U;AxT~t92{wGo|te8|PY!2Znr&F%RaOxM|h|CoGxe!fhs)TZ@@{(M;oC z9WHa{_}j7F>z2%4Co0cA`^SAX1-_H^&~3Jj$=Pq~iv z!D(kb*j@@;Q=zp{vVf3K?M?*iaL{5);Rlq*n5pj9wJr(1%I8fjnQ6F1+cfflBiCQ& z``vttna+_WBjRZ;N9g@>6i@$_^X1EzM+Jjbn_Iy{V`gr?>d>`w-99cFfzfHAEuYhy z@dqRbH|0CxbG#Ie**%O;@8Xr14jj(EX7xFz**1@{GP@KNtBzq_&e%CKTTvNT96EWzhw!6rST^iv%XORRN?I|R3R|F43PJ05{HWcq7V@r z$^__!Ot;&*%Myext&f4aIyNRy_9+s@i=8iVSQun&lHd&ucI4dvT!cikr!E+wozpew z$(`WRh2pd={jHrZm(SDaIShSLY|v@Kz8+x;D3^zkPxr1g_zZty&(}gk2T z!372GKkhSrC7~7SCzkM(JiYWZ7~DY2##AmZ6Yo^+x$IAC%+aPSeyYU#`H|jIL@N5U zPq+1wH3{l|m0LyLx*;X@ju%3BtFf?0E2M8Q+mpW%2ciOHf(uu$2-Yro zsT4K8p@N~3Ze-D^P)G2-U=%{3VT15D+w`s+ZL8#qzriAa?Dg>_%m zwww55zv6FiCeq0um1je1O^yc3)18ur3(*U<&4LrmnnUYq zt+Sv=;q1BrLPN7_d0bF53m+f9>xxEx$*N%$bn3r?X<$n=;sb6V z7opmoX4zZd5?M#wD>lty8ARb@NjgH|5Tf?m4>G!?{q_mpAR85;EXP}eHRijDHf}xZ zig`exW8C~Gw$+HjpORZj=*Jh|{v09-wh$zyYXcNqa~4!4E?~z$leu@A^p{vC{o&Je zF}vWZz8=&F8&9OgJIj7L5KU>tjARsldU`D!uzHHSxwfhuh{pFk6p^>o2Q4`$^VuE} z(=dT5VR0qkyt-1r{Su{!pj~agy!Gy9s&r{_$BhqF)1`HpJc9_d%n48Mn0Y{o zq$?{+w@QbSipmf;_A7j5cfo~AvaW9aP%doq}1wkMZT&JawOfKIPrdlf3EXU zl5oU}Kd*7@xvDfA?+?J>@+kyN_29PJo)^3HO}q`BTsVB&b`*RTk;)s#Sm_Ig&PFp{&k%xACNj ziOJE*>`7&LK?dkE|01>%$qG_NcZXcRRpI~sZ(iEZCrn3#Be|3~Npd&QP+@NtBSQ=_ z#hlaWiHV}~Z#FDTzdocgsCi1>*4M`bxxef4&9T5SvY3~u0>Dn$l^Yt{NaDwJW%dQk zG!GioqoT)}_!pKMrSX`JK1VS?X!3BvK|Av9EjQmgf9#E~>GaZmF7k&wgzxrLlM|jE zViFQb^HqH*5x`dR*^oSP>;a$CH@!$<&o`UUbUxH5&bjuDMvK%dG z?;Xrr)lSr(_T=2X{aF;gAAAS9rnlH4S|(25mYndG-7b>aSG`k=pZo~f+d!qu~(Vz^-1L1&>X(naBQXL z)!ww8w>c5`?K)Km7blPWmjwX+H(A<`1Bnmc0PJ}U(A1$D?PF)e9*!P42^51DWo1m~ z-PJ3%RbARLanH*{1aA1v^q7P){w&Z>Rwi!TX`DN(7KYWwyc$e$%H(sLkR1cS26^$@La+2r`UNbuiAw=?(t z@Fza>r`Bo}j#bOn2&KB<1}^R{$VAZh(%}tADvnZA{kSnNzuG>rehWo0JppN`avz&nc2}bF4cH|2TpiZTJ%E*5YcoxpEkYmVt;ZGv{gr-ixEVl~IIc_MrJA4J|0|Oijj^~Z` z7j;CS4g}y5r5DHl*t_&HOt1=Ye z`{ZhrXZDUO(n)ZVL!<|+k|(Uw*@M*p=BkI#GLtyi>$mT}1H{VVi5sT-o;@A0cgLUj zLvC1ESCMZBq8pNmp{j96a0)A@reIOe=ukcR?y| zQz~BGhVjdkFCH>;T=Qu8N%cdo7#3BC|umI|D) z;{|uRjgC!weE~T@#$B!amDlm1QBhF^iv~vfuJwTT4_K$QR#N`^p124vvQ9xrA=SD0 zs8*?sA+NQRn3%61U7D{C*?GATxmdo?(DVGev-aVZsp)>8Z%9>~X8$=`dY@mF?3*y$6N_ zYX<5mP$mFD0kH?|sq*ptUJ3RMEua{|L3dIr@WZ~_@cQ@q)aIdMRCG)H2}N&!DY@d6 zKuid^$ow|QcbReJ?i=6$&MBny)cQ18{nzV>haPUulQ6Vb{bf(QFW`{V(q(041_#UW zNg~qI;1Bpglz8i>ol83Ywz3(RQPVm#oO>-9otM`^*b7HM8hfv2bnp;#E&6#hI72qb z##6EbAU2X|DbYr$a#M(Xxa>1&0-49mGODjmSw+>c z-BtMnKweA;&!~Sx$f{Ppi>+0rfnb!Kxg$%{*kxH6OEHtOt25_6y7l>|Xe6IP_1WJk zqI&+GH}Y6G7h~}F6iJi{Rp(LZwuw{9gRkdppLEH!8IrW&^jm)=zs{;2^=hU&q|C+) zL|Mu$%wir*K8JjI+$YR8lA{l?5pwQBAVm&@iFF={@LQnGBynuE*}?C;2h=2d`kr! z18u8TW#ePoe`^5%`C5Dvyns=U3*kcU>yP1maIvM~w}JL5z f*z>Dx zrPsHFRQM*^F0QZ4Y4Rx&UW9$=8#kDI>-z_JwqL97-~S@L22@2cy%(2hyrJ}UoVrA* zThxiBobF`ZQ#$LlvGghzd>4iXx~KgW?nHO$3iIX)fJ})O($6Pc8;5QG&L@DS(iJI>y#THQ_q%a(z6D(&~LkJ zC~C>nIF~QK7&WcxX`eQsiop2w>xdB;|2d2Uklu_cQi{(gk1(YsA!rkX*lbhq%y8)7 zAAgPx1errIBgxZRZoZ%{@{02ry)u!Wh3wl6udRlJkZ`$Y;Ew#lJPA}~>H#04FD%z{ zc#4D(`(zqJTd}f{oM|le{ao_=%~!5f*2C5{Tu-dcz{1(h^?BUL^>COma_R%1iGk@` zptIDq%9vr03g|>OZc%gSXl$AfB@m66$k}48Jo7r7%Rlh)8y}bSq%9b3(R^mQQ_E{o zr9FfJzO>L$@cT^fAAASSAA{&Ynm{Qtso@?E=jj8emQU;f2^)_jCt&w7JG)h>WBU3C zc_K+sq6#p3rsz8XT+Bms(FCe`Il!$#=Yx%FfV zlsuJGdG?Q@+f~aZtAb3O#RKsh(=Qx)WwXhc+0eI&isrx<0#tUg)<}MW({F+~lPAG; z@rw&8OYJ>S(sU62DY%SPcUg&ycb~P}jj0@-xyWUPEOX^vbe}wiULv%~EJFndrz~0D z+^s(;DAD<29X|P9ze##7CsO$|TNJkWO|OO>Kh@EjVqV3u4_)j}zgD(?DBJPx+u&E7 zk`%$9Uof5BSC;wDFNuT_o^$YPWm={)KXi8RQj+2?50 zTj}^e%Rk^ke_M-%DYP3SxYsbfxY>izI@niSYENcl0J|h zO&lxuQhy#`G-7lgX$(D9K6m+hi(cenP{^>@vGU?)sDvXYk~8tr?v1SBZ0bt9c|;(s zC2D+)m2`gu^lK*m{)_yWp4We(6ZW4xNKi?3sH7&1ph#q|AP!w%)B$vvc_Bu)j zaJ+GU9)&gy(?QoAaB}DhFGl=K`jkTIs7J0zw3 zF1E7)9h`SKcp{pMggI*S_4DYbmPY#4-b!;Ct0@)~R}9S7aFQ+MQzX8eFdX9#7TetQ zK?T|$);+Z{V#c`$9r5o>JdnUAX=`Y-gu`2!6hFb>v<_b63J=!RLi=CJPB(pAI)PCw6mVO69nu5jw=_Y z8mk~EDLq)f0Js~#1*BfR;@q^eg02chn!VUY57m>&3n<=gikU)3F7JDqA}Qc^w$V1) z{gHa_*BgY}&9~?aPDXDz`Ihzu(HqzRPzQr{cxE4sPtvC-^Z7yf{OZ zInV?d16AVB16|6mTbWmuq$;0~otFa7ZWKxpFCf%-x}9XVwm8P=zHV0vYz#vvv>H+` zx8wk~T79t70}`P@TuoQS0RI(Ru4D}WrA6q;^7zg4(uDBNEe`;{*Fy>Hh2NY4+uF`F z9V0j|bS+15r3U_d`$6-7-3J#!rE!0|jegV0Iq^W3bFzsd5~i33$wo(T?h>}pUVg3f zn2Gn`8?N(4(oL<0eER3_!ETZ^vYec2aBdFG;ZstH7fE->W*FYl%gEK?zxLtQmhj0x z@f(aQ|ARO`P>%%>!9d6;u{w^$Ih+>$@#POB)6y6xSpMwgQ;=n2ywYN1Xah|@KfynQ zImDaco@*4P&@Xn*`}*_UdXgVo*~h+4kIqa|ZXq+%{m6=e+P%po5E00P6X^z|or>(0 z+5Xvf-u`q5KS#szFPy~S#&0-@^Z!PouiBnQRRtjoa}O8pBw`sC!J$0BU@SK8Y&I9% ze*fpKLSsd?O5&3qBUD3y5Li`=On*rj3{pu&{J+7Vj#x%3yc2w{MACKFz7fR}_p)5L z49|g7Dgk!J-P#Gs3rfeR&Wd1oUY%t+{^wRTp{Q*{5A05pPJpzS*Jap=CpT5O<)+y^ zzgMBOaD_Z$e3hE}nFxn>mX4unR-?ICLKH5as_i$E+MH(cj!YbTN+GurnMlr>D=|Rn z_y}QN80L-Vjz=rTH;ij4)T?VLcEPRA_FhY0PHwoC&6CQs=Ib2?#a0Uu?r0~VI6i$z z$gcj4Uj(c8_tJct5R#Pc0={j-tl)B~?|NhPo%YdB!E>McB7v^+I{ba3`9N8x$9Uqr zY*k{|K$=^@C)NX=(9Q*;QM zwF&eG+qMKAeCH5*#pra`n=f3ey|uDJni*#HpEM5`TRYuzv{z+n9Y17@xqRpl6SKmi zpwXm}q+#e)4Q|4g;>`T6peK>rdYn0nARkYjhWZZq7It*J5SIO;$BO9okPP4e+`jwi+U2s9 zWuZxm;@Hy&0zk96VyUlsxy(mFA0gWrJ5y0o8bGSL4FcQ>_gnkV4Za{i5BaNLLiQx@ zyk`-GwnWP-R)gjXs>;gr;LIZ=Vq-pbtyko8N2HWble=q|9nzl#H6%fi$qF2fYxv%dYcsk#Owi~!DRvtY%>@(LrzYlZ zK(#BL>VTb&wQ+Jgs#0(oa?xy%eT!*~;%5H#C5Oemu1?-o zi+u!crt+;s-<&R$^pcpmLVxY)qGS0CM^V)1fyc+fU3jis3BU8aLK|m{E+s7m&d)0e--Gq)*nJQZIBW3TH)X(LtGpD`o>z{_o}sDgcBRjU&~e9cmQ}p>U8)Ry z0mXR3N)Ns$tLJ{ zu!5^R{I%HRvVd@v5AY@WqO&xg_c0%fXvIV{#R+1XZsk&UWbVKc_sUC7Wx?mwAj>!Y&ftx`$ zgT>uUsJR|%cMTT|l8Dxy=6SB;Zk`by#*p39#%GznPM@Q6Z4P6CnLE+M+ZU+(a;f5p z&icT|4<#(03-3tJl&F<%={#wWf4FQ7HJ#&A7q%`_g2+``t|cwREIC(lWKDE}OF z?{(pZZ-?r)vbGQ>+*PS^;hWmHxy*eIH#6^jlFY_w%G^mJCe`@ELh{LUs0UKD2Eup$ znI+R?C}P}fjuRvzo&o^>bKn}9&QFVM8Q!;T`$fmsth62xUt4STWP_ZLBcuL)_7|MJ z2=gz}qW}0W4blWL0=sF2C z66P|m&B`?F@?=NhxC#f6&yFTU{nG}R&6tMy$iM6Rcs$GXAE3N{eTnx$AFmE5ks>    3rH)3O7If(`iShMVk%~WM)OU_)8ESihwAJ#UjB7ePA4K(}sR^8r_GpmhqIzi7rF+)4(?(j&e3YhOcOKVqzS$niv$@v}U z3jU+=8f3S3OLc}~BXqFyJZkAB{dLPvKbQKKG@4;tT%EQ^NLE$S%WP=7D`zeBL!UOd zYdLDo8xC{kT9nT`9&1BlWI4}E%oA5FIzzASJY44FWqZ!ruvMLBuli)=<@kqW!s^sK z9kr%g^CS{RsjNy4RYDdKZw>d z3jm1Tvr(g+9w4yzcoS2#6}=T-&}ULPSB$wsOI=8K$!7GXnHpfp^qaZ%N5KY=Vot!{ zs%AmotN*2;+oE`=#OKmAS)?#NDD5fv#sb50>XM#UWs}uiD4wpQ07$J5JJvYKDm2j? z&tA1T#y)3$ISfdds6q(di5&b(c?CgH9ty z_+=sYbNCeJ2OWRTmuT)v@bJe1JU3rfZVYV=42|V59=5d~M$okNAs2TAc>m(YJ9yOG zMau0~r#bH27yO-|Z3r9V>=NGV{&yFt{_$-@B#t7=MzZpVm=PA%cOIw>#Ua)7_T6ea zH0JHM4M3>bEAvo}OxXmy>Z8fmc<*JPoPv(mOxvhjYLjMg)P=14pe-I$;uLIXkL^95 zK}-s1CbCWK0%T{C&X8Y)mV}oel6*417R-sAYcsf24M-PC_HrWxDC>8EwE(3Ht#nu1 zLLvd@E`oRr3+pxP9*Q2{d}$wV2XW87LQz4Dy?#&@%eo>X>OTGzY~FQUd&(=8F<1HP z9K?SUc0!WpH$5-Cl#Rag%jL79LmUOQ6;O8>gQnEQt3cu|X3;L|&?&x)@a3QyRy2vl zv2V-7^V@p2h@i@-tSVZ!UoTp}nLZF38c+PqeZh4o*aA}wKxVgNlg)w$u3Ge6=HFPJ z>6Qlk*aY2III^!dtUp+SZ|~BVMM92j8tB z|Kp**U*8iF0VXGh?s6*I<9~bepZp7y$-m^T{4+{e4naiU5cu<`K*-RT@dq)ow4GN^@Z`>I*OBVDwONvrR7n_nLx{9l_#qN2Q$hzsYptzbEvp|o}}$z zM%9r>7dAL)wJ>Mx331#vR#>l2LwRv3`(CY)saA&alb)CpqGlgDN-l4Mu{*>nK54g} zT>9qC8@(zir{mNe`VY$4WS>Zj+1GZpj@W28spvChmH~Mkjr0YdodWq-EZ3o5XubZE#-VPHu@;a@q zLrznP%z{74yrb-yL*YHwNXlrGmSpi9RL4{XCq&H}8t5nANT$%|+$;0Yf!FUH4Wjg} zC;Cyz&U91~3d(9i!%Qj4C9D~!unk{DSwi~}Z85E{0xw+{)+*1=A5;sw*4M@)7lz*AQ*?(>k6y`%>H)bDSAw--K7&rOM(yed7kAE1d?mkk zR1zPV&~~0LK90}hq!QAj+#i!J_?#qvruq0OBjafSap4hTpJAWcgeQ~~wa<;u1+_kr z(5I$35^VfIkt4@gON8_#-I)YB{IskBU)pBFjKS&3vhpyD`;I-aoqcxm)HlF;^2EJ}ubE}|i2RSwJ=RSy z*(}#1LC%jd94^nUWP<}k)a50koGiaA@b7<#2qM&I!H%G6MXYdo4(-ukNe$!Mv*Fc5x)ymVEGjg{eEe?pNH#f5mhHCx_Rn<+&%uq zmdm3y|2EuJ`b$_NZK<$jSc2hN4{=HJWD`^@gS(46Pkz5oPKSOkm9Lde5Qr&K(=Q@p zN0D~PX&>Dy<@s+1ttwKr>b!6MFLQ8HJfTDN5G5|ki$R%UmO|N7ORzkE{~9#-LK@BfnZzK9Qs%lNI} z(J>*~g%5}*>erWNk|9@C0A&eD2zk!-OK;2Gs9Z=xhYOpg?B7buX9CB0RXR5OU0jzH z--jfHh@@kjr`ApSO&j52ojHe2AJnw{*i|x{&U-dp^`K3;nwfuzG(kxH+-3jZNjer) zvoqsX{UwTs5FMgQWB_cDQ)aWkP2z<9u)FF}e5aR5m*2b`)ae*Abp18c@Rye?j!B%@ z?v)uS3mzrf>p2+^wunYdDXx@52p8Q{g-di|RNE1$1VN>$9%MpCq3L~atV7?$1)ETr zXD&mER=Gi(`NVsNpi^M}XM7a1{mqy?KVHHlf_IyoyUKEa?-aCKcZ&6ehJG&~{Fj1G zY_F_GYB?d?a)xg7*F7H~L3=%LXqBNiZHyft)t^>c>T*xJOH@{75Pke}|3dM@Z4-F( z6uF+}VN?3cdzaA<;e&kmnKvKcoputr+Z<<6+*09eiy(w$@DkCVkb)N??hIs|Hc|s+zRgZf90yZys$XWV=2-|^#F&n z2z9ew-3_36)lX6{-CY7n)Ol#=w~$={arPqQo7WeZPd)j+pF}p8#0RGme%5Dt0I6#L zdi=O(J7`z=3H@f7mCF-Ct3`d?Bq8k3-_Id8 zZ2E=zp3QdeR)SM*SOe#c`fX@_*#I=rN%mI2>UmbQJch~(RT!H#6O>4o2E&#qcL%@q z;P&nPgV+8Vyf!1~-rm7AVAm36?0~ey3vRQnA7%h=i`#Zed;v^zDTt`IdVx*7TG#N` zY{wMjvFu;6X1|uKnZ4v*YgNM1(lPc9rLn>w9rh!W$F$=n&^>3X*m;r~+(CEz?oq*` znFf!MhsZ7yd4gSs1q9a)zfJ?0O!278CdW*B3r`eqgO9^b-}X&PKmNArW7aH{_cp~* z3^d^$?2MJo4>c|b-Ze8Xu1!uVt_`!(O13<&%eOJCebyu(FZoPPo)RYfb!TRUQpZl4 zNsO3thT;PM^qjNx3D+?TC~CoflARd$&cD|bMu{PL_&K6+EGQ?n zv68~m$jn@_u4YZ|yTHZESEgK;j!UfA4V#iC`sP)iUFw0n$QXMjjk;{~Lw)n^oY*1J zlNC6vL+X!T?5>?_$3@vdr5q&59U^XwZ4B+aL7F-7Ht=XwMRGBJCxGUqepT|CBW(vP zp0G|D+GN*Ja24RYhp$w;J@hccyy_u!b`8hVRkPD^bUH5>>H*#eeW==YJjXjMd`Y6sH)F(N6i|E5oY6K73U@G|>lRw0elqt2(hXym_GpAwo;xh&{`DaPBc&?syaMxzrH4QfP z?+W(VZ}7LW30^r9lke`(>`sR7d+g$u0+EtO6QwL6sk49-TuPnJ#d}8#yJ3mKVxX+( zpJ}{ZZ}XYE`(}^PC7^1|BWCbnulc0mQe5ljC~jMl?Wt8C+(Eo_%NW?prf@j2_< znI{WFS8X*h*%vTu+4R|&UlN8k)+6O@TNaLP2@w$Y@t9IYt^{gVY0!>Q`_++q9viCa zH4MmPF~1Tc@~x*NhWfCFqqWe>)zj|!$&ffm9g<&snsw(cZg}?6 z{Y$$KQRz>SYTyEySdsKhd4BpZYhdiuMvHM1Wx_b4VF zG?j=sq9YqU&ZDbX7pi^!6uHV+^i^u#ssr8M%s*LZjt~}mP8&8DvHg&Mc+g*~b*`5C z`rOG`FYKKz;*d1qg~8%X=P@pn7W>A=m1(VuZ&s%#Ob1P9B)AWGW{p}X2avbVKPK94 z`QX>k)f~fW-McP0(Mg-zN^~gTjL(Eq^2%|oFl@Dw#t|$pt$E%}{b$%}r;d@Uwdmyy z@QHjZO1lbJ>r!G!?s|-0rEOfo$2N5}Q&0Ft7S*lkrARO=T&2yr&gw{G$q{9yWFwU) z+ODfIBYHjJj8ms-^7;F__Va>}GKyp`8h@KZq}sxg|#KUM~65=qdb;r(O;}K%3Mv{D$9&$mSnV zd1VKuCIQgK^dq;P6)Bw_zW$aBf4q1w#W3D|)U8tOB?tU}_ERdY-4IA;KLB|dZb1DmqANZN;G7+F8 zbsZWdpTag?VJ}AdCO(@sGOXHK+0{V;?(x~RIPb~q_slpv1jp+w*u`xy!C#8H4t<={ z$mAG4!YpF>C{)U-^m23J?!eNyYCT*yodm~CU3qD(gB}!Pwc(fCxyKJ;PKY*dlH8{7sIi%`8@ZrC@ zm~dnP+!A(>5e8rFaP2EJSr;vCzg@fR;(OX{1&|@3j`@5QM~yHLqozhAdV@~HQo`#a zW7csxbaqx)h3G%is&k3)tX}>Bi`<$}F=JJTwN$_77u4X47XSSJ)eDSl4u(gCyyzwK z4C{?}r(pu+^=9Fn{(g^pfKF)4EFc9&V z<@F2Ka(G1JK)UrHSCP(vzB5JOVlP;j=CW!O1_HfpV`Hey z-mG@cX6qC|fUyjv=DoDbC`6d+d(L7f^B-^;GXt(8EK%%HROX+k9IcBWnETB!dBYhh zpN3GwX#;_#USQ5_Ip3CmOvRU>l&iCR$zf(-*e_f5e=8^1Qfl=yA?c0htyB#N6P`;{ z%~U&u^66WQY_KHCSZgG&pF=Qr1;B5UrY_B%3)2wio}9BP5Z3RzYlewkNw79?8`J}n zQqGz;#uYwrLIt}OEpF+#+=<%Gk3mgzR!rwVjyi-_NmJ=D-cD`4-B@JO&gjeNztHxK z=Du6-R%B)h>rHyJ*ookpf`9fMyI;mMI`s4iMW1!Zki>%(#ZODK`XZYCvb?nY>|y%j zSKqu(+7!w-_lPJPMtD8e6S8Yl$IN@Cz<&zud!yx``F4$N!gtIt5P!n=dm+Y-G%Whb z4!VMI6fA&2Qw;Cjr#ffSR#Uo-t{!>>x+1zZpqaH!!{oC31$xGlX`R#GL=Jzb1;{M% zoLFA~ZT(LXxmLStxq+aho*;%)jX-^DdfDUJ4}>WNB}?;=r7!akIg}btNCG%Pb^?$! ze|)yMLBcyqiq(48EVR)`p$!c@1c2nymacr>7IWKE{P9sa{3$w?5XN3l>Wo6)Jax-e z(9ML1ltLP|Z-hsx+Y0R?^EG-ImGk#a#&~G%PdV0iZxGzpDAk_acsx~uJIwb8PM7Xj zY_(SKxzu|?AJ_DX*23Hm8#m;eR63HT*lSfI6Y-$$*=%t_8-&O<(Ld+PVP!~<2^85i zN@ekGCq^CN*h=sv4nhR0xKZ&_xf_LIR?q-od<)1zObEfpb-uK2vrpzq>iHK}hTL8k zLT%(rSCQ>EpqB=%VJD(JC*oW!2Mu=@d;^u;12Wz-S)^=9ozq+QzoDzPvJovEW0Q#l zhr=#nP&K;FZ)P`%^zLyQesXuaF_NpML0T}Ol@@<8RQ=Iu7voxTw?T)+$~MuPc(>nF zw3sN`lb&dp`$F6MvdKaYpZ5$)2u3lMG$j-hLuzwP{Q~+W-x(QZG*PJER5I@H)!jK6 z;Gb`bRqhQ*dlSHfas66U5OA>6CoeCw>B+P|XHB0D_@LdQJ*BYr`SAT34AHou+j@oS zmbOCb6~ynF#t7dbE<9`lra3wonwNIeEl;7gdwossedQ!!Xy6nsE|CA(L8&^v)JB1# z&6nE!VK1Ut4Gl**XzpjCa(QNEs%JpsGZ}&}Tr{fbXGm9nk*MKpV3?PK!6pc2Un*bd zE6Sw4_x2!z7*bmoSZWdDbo=q`nc*_tK}0*-4eEWT+MRtxDB&caoSx+(fOHLk;mV7L z2TB3`zPusxcQ`n0-;0Cuov396$=J0Wr9-z{8|8i{3dDS;di}`mP+Ow~#M4=}m5X;E zQbtg;qy2cOE7{G~Yk;I>MKA--YPUkm8`K4N4eT>LXJ4-eIMq!R*P2N`Qxp$AH3037 z@!q8My5m+Y%tR9Y)E9w6x61hasR$EX8`JFU<%4i-2MruvJcVl`bUnu}`}eio^yi(5tnRUMT2>r<&_fs7C|Y?|lAp$h z2H*O`mE9}43X%ZDyN#DXAaGN4S4$9j&fOh?a6~qmha0`VH2BE5GZSxTZfN^6O9qN$8>qcRuQh5p z`@D1=2ka5Jt)~mp2om~Oov3ub7UVmK!`;K{41k*ksM1Fm;5)A-TRSzIb>hkaoq7%G z;x8O~&z+yfg0S^!)ke7hBz8tYu&ZcCDEnw7d65vNjS9X@y9UpFvhv8XhJ0x@nw*Ny z&RD#(s8RrQ`Z!aPzl&E1FF8~XCJeFH#Bt5CQmoE^i^1lSX=~N83euOQt2{+03oE0> zh_4G(K?_4J^%m}L-h%l0gzMyE4-!aUFzaiySuLHytiMNpNtkOxq%LAYev}OANXHXV zQy0?g46eSRhzY4LDVEUnSWB*2I7%=6@dkzVXcY;Ul6)ymO2u-8Ow@$Jt_Rbrv=9TT z31kqBtPZ>7l>{_F_*$rVkDv+9m-5c(g?He(Nv1o(+Y|-K1LJOaPJ)KbV{Vr;&#k&A zmkwNZRF+8>*Fz6DkZpz6{!DC9GOn$Zns#P96CQR#dw)io2en`J|3VwS6zMQ_7*qsG zor%Xma6<;K$bpI4>5F$#tm>fcQhje6I%`m$|0Ie5^OU~0$gKPBhh&=jW5fgHjuhJR z3$8+r^IESfiD~#kiXwrd-m4{oZ`TktCPJeLjas_DGHT0YehTZ5fbI$C7uDkBM0zAke!D<&JqDpP|KCw5=T6y#WGH%wRf!iq@n9TlS zI{%Umu@S;rwNI;7f@2O5)aet3eEW{VSCw>^^=V4tv zdCAtVwQ|HQPoM#Qvk8xvmgT(fRa%y8)hQ0iHBUu$8X{?k@_caCCCU-NZ~XSs`A?3b z_rNhS*yFX`;rkFo*gW3TkpRAE8+0da)$}#Za;X_d8k6w^IB-sr%dUHwX5-NyAQ*t; zOEq;88(Q^$B{%;}3jst5VJS^Vo>hMrbpdyd-jN`T=#h~GZPonFqE*r& z;3_|JKT+VICKeLqi&H_EHI=sbyJp0_l&Ck9^k{7QE8)+(kI9W&9Pa%#B@X^^vfU?B zoN&>?O5uH+_0O+%Qp4>tY?%~~2WDH3Wpdc?$4jlZn^RA(kid~_n-^GyY~h~r(6WffN@=h&f@*%<)QM^b}s#Ng;h9SeU} z-7~o*!-S=v3VLI~GY6$L2)U^7Ti1rbRAO0m>@*<7G734-<=pEkL~tGljWrf>d%_Ik zUApAmPpqeY$#nPD@|oz-epBa!n|E*R4)=9SiuT*ktojhHx#b8aYfD?1JKrehx(`MUO76G0vxi0ZtHYg3Vri*{&;Q;7IJk zWxoz;0#t|&reU|X<1%9d$S5>gNI)CC^N?X$NtNKZV{5)vj|Q)&9w5q=In+zzGjpOv zFYiIteehLFZkeD}OD4~$da^v^HZmjFO0{LquQ~5dGI{11oAL;`MeOb*GpUJ0HwAW=>(frseM2Q)wuvTwcZd6(z#$g$ z7CGjHun5<=qVUoicheQ{4xgk$y3`-06%x>I1zJhe#7U1`hl1H%-`2dQz5`4^DPY?^ z`%YJmA(*q)%u66_F(OO2+z0F!&r;xZuZ=tlIq~x@3e)gQX~ZvX8}42>p)&ob!^z|y z;rY9JLFRcN=5~nsp9j%DpGCHMSIf$Yc1g>)-MhGL`mmq)z~$m>eQHih!OK%XOxMcE1xTlu9^f(aEFgzp?pCIHrQ+7GyUEFm89&bDDX~2AipJqVTO&WBY3wRZP$N9F zYs>PuuR(bG)QWfafxPQFR7#`9^k(emq-c^!j)S9q+w8$u4A~FR3Hchly01D6YsIvO)Lfev&QHv@<{Ke6a=)7P;4X2>Wq0$OG=pQZ>M=@ zTZbx#k2<&zV`B1aqSIDqj3}7(~)MiJ58_wIdW`fUO4b?Z?YESQQ6)c zDdJ$$v@JKuC%k(ahmFv@C$C!T#!9O2mgE~Scho+NvQZyBHs;Q!#yUg+wDNiskL zgcu3B$Vc#d7!^LRDk>S~r$29Cdo7!a_& zRo3e4pr7NJbGVdiAJb3lDb!=2Y4p~<*Q-JzAr7~&U4CH<1Eh3sFH-v1o4i7C+RJnRukTud9?1Z2Tv;%?=Vwi(W_N~_`Nz9#q zw`4&Q0T8}_f)b7KO3}Tq*QS8SF)5~K-%?^Ha1sSaOJjxG4g+~~Z6|#9S;=K_tF&S^ zDsIzr2!jj}ju{6OZ#6S_=N4k)Q4!PR4*(ZhhzKn)(pF#s5rs>nU+hgge#s-IN%kY1 zp*pyw5F?JDn=PT z9vI%eo?$%)39dCI%%;fsbbW>+bWICG8jW)mq3^CAVmbP8Tc~a2T>ZjJDZg}UYoVS5 z)U=jrB~&B6wQ+Di!ERizwfZ__0!10iRi@DHvJe+*p@>M`7!n?*`=8EeM`5e`e(;~3 z@cn8VjjjH%Ek0n3p^%?vP&{v?hZffm@|lo1J{Y)|TTVF8mz-h)g^R@G~uOfBMQ zGx@g`KtxlLc?j^=5h9CaSVJ5|x9f95uo2ti%PR>W@QNJ@=PCd-XXwUcCXj@RZdjH<-kIXG86}V^IMtcSB7Fp*cOuGutxeTR95?0^O+7ms(PumtYpkTT6uTKp z2Y7Yu>o`A$QP;D@9I?I;+pQsP6Wz~B@_e1VB%mG3wmsTr^m%gP&~%|tc)^yO(2vZ|t>kfL&rDegovjV85yx?vl! z`qtP>Vi)psoq?}MTySrI#J3?Z!IID?RFyR!UKJQ-(d=7OPBZ8EKrR9MJhm}+nW)n> zq}}3UqT84xf6moKjRr}}VA%2Qb?4Ul=u*z;`H5%^Nmz%n&++7_m$vz{`j?HC_>4R) z#A*nGH+Z*!?2*Ly=_Gd}G2$_1#XjpA)qp~SW!NFY|%3rTcs~>6D#}}M2@tb zBZA~wE~CKr4`iP$+TaW`v0O-Rn8F@dE`A9Wkr3zsrm|G9Q-TK!65!6sN`&eh&O(bL z<(Hu+s!iLP#pWiKFQ>H6q@u}}`QF#}`lHRG@@sB|yKKCL0je(Yl0DwwqLO&hzPZh&8h2UW?=>6m|6%XF*kXuS?zcr|!?^_kDc-`2KnS=i!`lo$Gp^ z_jrxx$of)rEVF;xuiro7P^jzkNy9LdX^tj{40KU1l&F_PYL^)DBXy)4(o2^*x(ve- z?R>4vPl$yw$)j;zf_%DIx598N-Dq*o%#tG)do&QqTzp^js7lq{gtI_IC(}wHnf;a2 z$P9M&xe_Izg`5y1I)W>H!>A`qbh1uV(97Yv7L0p*1InGX4nngx;tj?x8de($@%mx< z`3mmpEtonOsI+nsDCQ-RBn!dRQc}G*K^@KGk^!B=MI|#?8Z15MLa0yffR&ra6W*WK zLw4_%1NM*Ihdxtkf_QlSYKYovf|-RmR|l+s-6GS3ZbtKTpxZRj6&}yDQdyoZ&|N?B z8r;+5o@3CB9ckD25e<0|imh{Gaba!ztswGgt`owl8U9>onEqJ013q_y5C#MTYw1Vx zdvD7p!4i&REtRa9Kg4|6tqFqso`Sh10=%X;D}98cb#PG;5-Xfxff6?8VHht_&QG+c>wU*T%=)6Af8kqjHj>egK4 zgA2RM#WRcG;vb5FO4Q)ufeMM<%}>*V#&e*TFk{of>BF|IKSIf%;HsY^lV|0zpj6k5 zl-7AqF#B_jk2R(e9zjSVUyf4QcjEdH5JwX)o8Cr@-L|h~p3!)Sv9lhi9P{*9>2; z&DWd10MBxVhg~NVo~0QRoaz*i;BY*{uF1X?C*$d4CP_P{7(e#`s29^fOsHZID!qYbPZKV*Y10T3M~w+3b3ps?1&HGttpZveu{O0H8g-zD z;>=Nm*Eo{5n@V`_*c0@ZDt~Chq!}7=vj|=VMl_eMA2an+^$L}tvqrD!X;bn#J-Qejs0 zs>*0i2QsOs&g%Od4LYwN92@JIlZdG+Es!KUyq?#H^Y=)-;=~Ths%X2c!ym)S4|$jt#bT zC?wjCV*7k+y;=*4XZtRWw~G5+bT~e_UQXy~*A9Ny-n1WI8Q-*gMWW4toP<;3@SCAD zbMMwi9_|6vN=s%-zX?<%rWxAjLNoIt^QcAVTKj!#({;&XOUr!;1S)t zah?{8arXkXz}xsXQD)@z%@51-gWe<8+}jKsd`cI`(#^$)hQrVtm~gJzOAZpptXFiQ z0r!bzW*A(o72Tl*9PWG8qpy&e5>kqg`@!D$U8T8!G(F_gc8yzS#~ijvpu0wd9Do!b zT6ZqHxiOsinn5u!#dOAG)(DlVDioD(jQakR?@3%8QmqJIsQs^J#Xiw<2ZekqvaW5|5ED`~1~IOHYZVs0Rws zXm<(TQaKtc6@~4z8oJ*OXvS%2QK!u-tsfAXPVmwYsSfk8UAk0ub@t)~yI!1!xj?kU zNa8qv;RBH>Fr-JQEWX(xmu&lwiDchn;zH#UZTaIO(oy-n$rNT~M#Yy%Rpo?nQ&zP} zPNJ}oy5H$(QAYI6qbHJpLVnr$uy@Z1mtWMHaD%-lsDFO;0$8L zm=tXnY&1D3#V7XY=ruRb-R8yj*VxoX!)F0_FjVCfRcVyh9jQs+YV)MFLlkv-?n zdI6pu@1j}E2XZP71t9IK6KU+Ophs)f*g8v!gHtO@cL+-RK_I}j$8gn0qUQx9>7w!R zmvtK45R1{Scv;s?xTR)4xz%=q$3@V$Y_`9iW}xyh(O!F(K6c^3RC7l44K@{@05Wz6 z+v1YBFrbMJt{OijV~b`Dcq%Z~h2_l_v#X>`m(2&jy|ZHU_wHv(F$Q53yRcqmm3)W5 ze0#Xs0UZ_FPaX}vbp@jSExIpn-;e#hfn@h(S9 z$@0_+=d_+peL)wRP0&nt+x9Gr{_YJWu#Hd5Z_B!Ya^hy>1>@{$Ltp&AX|4I2nAWiFF)9|H`2iVO~ru$1XQzVR| z1ybq{x71aDL|5>{tQw!7Pj**(smNZOdb%LPr`_|87;;^guT-{}pFtHx(Jk@BEjra-<&$|eDCt^o zV&8KcSwii?jV=%TbAD$p6#lBwc(K)85(>uixsQ0s^`W3BWpwa7G5V^JO)Vh^Y3r_* z=ALJ#hgsiq4snSY;(IsW>mg@1$_Q=O(33YGOaStAbs4dWb==hhMj1nd2dm!4IM#s$ zcxYm--g)y9fd~dvyG-5$AV1RN5oLXq3RBYoAL)TtF)P>-suawgbo(cuXf2ybmGES zXX}#WkLcciO|d%|t*cL#gpzr94ssYjkJ!=x{m!ilBnz< zy(XtnNB017;IjZSz=SL`B!?@+hx~L7v6}KHcPG`(S?7KgQ`yZrqs#>*)kBz)N++_X zr=#ii`-^)TEEvI5pd6~=s_j{Z(hfF4#Ko-khB!rr10uJc61r22UM90YlFBe3Xd2!5 zx*0K?K9A1<{UB9nk<^?qRFdA3T{?ZS?86vjEF$O7Nf;9* z3r@}tVBPXN!gvO-UC}Ise)9P=fiP(9hdX9h*jwjK;P77c zu{ic;oy@5Zu}nrzt=Du_A9*Z+vWMO(=qE4md$UVxZ((E`DHF2z=vkEiwe?A(I|M+n z=cYgsbNNSwoH%=F2S4YP;EpBlaT$WZIkdzr9pV6Xk4q+>y=!}exOj{EP{@uP#a48M zp9snV0&c{+eN+p`J^wLE);x6*gk3ybaM7rBuAq3xMFnb zNB3Ib%%T`OZ#t87Edtq10ggBbg8mYCo&~UASIn-N@dTClY7oAuk(=UEh?Kbd<2It! zEt+*}hEzGT22{d4DMgpGW21Gpa<4seeSeAeHzoOtrue%d5xdni*v&SC@eNe7>!X ze{DT)>Hz^DU`~asEuSN{y6W#m!tKjunE~4I0gyRy~F~ zMV(88#cG#&&0%P~)f@V<0Z{1I1kIXTX#F%DChKHVfAxU{Mn8q((md1p^@O#AW(+%XKD|UPm}GEf>N920GEYo;Oc?1x zor!iWw0`y$Q5*xnV#qTk>BZRvr>*RcmwQI?wY~ucAP9=Vq^Zj-o1p=PM$a!iJiIKA z1v|zFCs6!Y4^oIp?DoZOZY(zvAC}vLaC8`>j2)}o%IKwa^!I#WMjMo)Y8`itU6cc^ z$pCauYf9c2*(W=*k&F)vvNk+;xZJo^p-&c`e1&BCA(=M{ zI*ND0GsP~Sz&9_~SlOzu1+-|Q)9E+Sh%<0Dt}3mBs;5Wtljf}1llKNsN?|ftWW-2N2 z-7x)FAP&@-_PGs38c~w*Wf|rTPw2<@J_Wl27NS!sqaBeNMA$Xips-WGbqN>vGAsK7 z=ma0#v}OCr{*JZLz`(Ml?x_LR-XEU4s&mWvebCg*9HnczGuLS&)VP!qd@w%(u~RtT z)>=HXg}trx^zye4GuS>Q!{8qGcy}&5-pij%4J4}!7MNdp6-~|WR1$bHPJzcwiL&1@ zFo*4UjVcs0Tpva*CpAre0(+ZGZpge?>EzuqModgq9Hc3U#o~w1v`apb^YPUJt zCIZn=Yy#G^AuF5$MmBTj7j!SBqgpUUQSbxBCtLX0D1SwqLkaMpwF1(4 z!^#V9Eb5~W4K7v4L6&Q+d4?8-qlG{+;d}Dq1C4d6b`50PAy!9n=TU;=s3u{+Uv&Vi z6YKFIob16{a*!fh5C&b)`FoM=3yu|W>>)hA4O)0T31K)cJZqX)S5|ZvcXoBPjbRwJ zFs39H`#v8YCZtQF|IT^S{*d!X)V*V4XRjx2Tl1=?m8+ANReo7Mafef?=>YcO zRwUw70A1wPnci>U9Zx1Wq5JoAPI&6kH=B<)-NZ=y^fUWp8u_V=9BJt^OOf74+;v&H zr1Y%okAf?8hrkoTBgFSKu^^cxMhpa{|MlXW&VF38^j-JH*48MAge%y;B&S_w-9+fVd?~Th)-X4sOJiDeI4};z z2S|Q8A4*AqZ^1~97sNOM0Vvq~$_6YGhs497O=Mes&1G@BDDk826VThKw)0rhcQ}?* zW|_!&r5Mu@&Tx+1#MzH9n;dc zx(uDd5OUn=O!V5G?qtT!P)XDB?JiKfTSr`&37mqqX#E-ID;|=G)kdJSaR9H}it<51 zM1?E(MhFoJkTadne#0*gZtS;vaic%LnbRcen?Zqfpv$3KsXrc!j~B`Ao`%#)w4O6U z+Bqw91uQO}`r53Jn&i=T*#eLNC=dq5 zG#3Tig@Sf#N$o<+YGz4O*`+ppG|%@?Em6CaHq%{Fbi{*01(US-92z@=dfb;#TH?gS z0obwmJ5^HZ>08pjBW@a^m+TB(0KBkwVt;epd!$cbrt~>*W&UAXyt~u z6xY1s)f#|y)+^9i3Ab9DkR{SepFT6!Zi>(j7X#cu)$VDJuUJhCUe1R<>&q(0dRj|4 zQ=eZJ2$oI3HpHBLr+Ch1+<^n+wrt1hT?J#YjNr=`Z^>hm;=@zQ1flU(tt=x9IjK~; z7b4;!vQj6d(*{DFCRCyO5MM2&NY3G4xWv!7ERUjVZ&}rbB14mXp+jIH(Y|7D%}E&G z@;Q4<$t-MuwZaZ!9v_-7=_OLI5y~P(cx<0fI3u^9k(~o3|6o}r2 z*f+@*suaYB8_{`Xe<_{U@HfIyy~H0uaq6N3?att#8`lo%TtCcYu(lDAb0i>#JJ~ zBPKh&p0f!78vch@MwHE^xu2reMq3@=r;J>iP&6EZcG|T06Pyo6)?H~dw7{1sb{?X6 zvWp`e4o=C~iEARWQ@y>f45gnsg+NO*0tfyoQaJt&V}tP*Kz8w%2u~0U&dh}fLl(PHr?JEW_ z@D`5uMpqHwk%yaG-B$pMYMx^3PQs>*noShHF)BzXi)c8SR#a0yy$t3W63y?@oRS|J zJxkS58w-pcWL!*))ww+u7y$EDL}$;Kz%43YqaN#L6h=BEkLphrA1Elc4!?{lVK*aR zC^1~3h!Y~o=HpFyY3|D8_orwlSYF4j`1BQ>3xrZ@oULoTclu@S#<`*3 zqj(2DfzK%4(1+1M7uP(K$xq|DebZ`5ci=npXWp`YrYw8J!?lKWEy_s!!u0HqItpr* ziua6wGo0ntFj+S3trUZ1eK+Wvwsx6lW*=dY9!ac*a7El}Ty%56hpd*E9WC*GveqVa zg6Z`vEvV7f+n}Cfb6dO79_0x z+~Z_DD@kh9IFhxvB*j}W85Fh@VYk@~XJGe?$J8HBy(OJE7x3{ersT>NQAkk;kys-e zO~nqha-+CE^i!2g@f3Bg3XUvD2%`zMQ(s(tRURA!m>?^S)nWbfE(WoEt%VM3IxQ9U zkB4aBB##-oFVRxnE7eqIL-o$>&MJh#w8W3ccLU;uJW+&^eqJ9@u5FoupLs_KUfaVb z(9E2|v61MLVkDfz?j&XTB$lz~n$?i{)3sTGXU`YIv%^H8*)*Lw$EhB}*#i%xM(%sg zpHS#t`}~rlmLgLxJ#}U+t@Ipun?{@dwlO)%$TFmeW&kWr^6u=|>n&PT2ZU0!tThH?6I`~es3E&>3uz}FcIC3)jE}T4kp7M?TfriM z(XH-cC-av`{nBxIwDrZ~s&G4fDRuntj(7TnaO#f+cJ&zPLvZ*6S4lZFqsP^6iHFF% z5(TG|{LtFFDdOu2j^fS10Bfl?0ECdVuL?#z!e(6*k0lQbta zK`c1_sw*qIOG7mKnuss9#9v(B^eFyXtoy33G8}rBR^%qTvSvlwm~O7-;G_@RMwEr9 zDaOcdcApN2{tQ`4)Rogjb&GFfCElSfJ$Kl>q|%|4<`VQ-PQ^}nY=>!uuUMpYk1O%m zB+$fz7zB&ncD-*2KQwnOo2JW^oX12BKHm9b^P1)UuJW zCjor*LQU$Wko%_oCoi6Oc+ZW->X81&*10rHJJz@Vxo1R1a{o4gy~v~s?xwzimU;oM zycPWfl_$2P6LqZ}GR3Hmb3kPo7PzHBl8u+W*{(|{dc{;tUZ6u;?xRz0Nz11PNw5j@^)@ z_Lx8yDRDIkdagE%;>+}F64P)xeQ^9}RguVOSnMbqc^fe(?*bqy2I%=iXI#G{X4UE0 zZ>0Kn2Cd-<7mQ~^ef|zcQI`t>zCr$1J(@5ZRO#M&hZqYb(jH6oGFXg-+_#B?SUs1_ zpnM1cSL90~dtY=7g?y~`#@XPBnD5W;Wztv`l(FfY4`61~*@NW-&P2;Z3Lan+(|Q6{ zFozcJW2MWEt`FD&D?C7c8`9~GB6sZv-UHIJIa6{IYLAljBm9qY!1~A`T$PwOtRYR| zM4+UnY)BameFvJ2A%Hz5#RcMyVpKzO4Hj*P-Dd`HOr?n~s}=kBrN*-o=(Yr*&B$#!5*yps|d!Z9zDY`#@rAog5{hdh%qGZwlOBds*Kk)HeO0 zd1jWOKT!)d$~wBQZ`{|t1(M8t-6TzqmkE)m&e6nqBa+*A%u+M?F2eLhbTLA$t}Hvh z-MBS`k$~@YC)=VS1)GN6Ntnht%EVvcrXA!lfpEI;_v>iA+n=BJ4J6Y?9v-7I@XrZ39k-6r2fGB!l&fCAkP!nMZspNh-o1$7ZiZL@+oQIlzFBM?r`0G z_oa4)oVJfcK*191#vtPtJ$eTR5X?cyTEctj#lRyD(V|%PO+NWa4)hsU`004m!#Gi$ z`IWlr(!;X^52*cCg*d;b=lKj0)Kzbq1Wh?~?LfFx?z0CdIR4P0UVKNkE9-WQS(y$l zJJn1TPl19~Zkbvv^U5{SPWNw{)?6N2J3#GlpI%pVR=pgOfw*{##6GD)bom?}$Cb%{ zW+pCbnnp`GS=Sxx+?ZZ((IRB%rtuXVu~*DAq((WLb@wNUHXEmUDu1T%o7hQdtw2l2pX6Q zC6W5+FlgNN>PKN(dh_FR@zr}DbsQ^o)|1bE(5%7d7749Mg2?2Q$6CoU6o5tWudlMX zO@4vS+Hqjq2vlFp#x&QRbQ_9sj~!y2Elk8MU7^%84R6M+%;WggiF{egeuswULKjE^ z&Yeh@s2vJszb-3K5L62-Fp$cG4ruwY8iA_?d0HTKOujW5W7bkVpt{5O?)S$X!Gg(= z-ktVo5alouFwb=J5-vE(HNF^_Hbu9KH$&LaM*x%EK|oWdjPmbpCj`1n%C7CbR8GJNb<#TdLCueVpsQZZPcG5uAUr|_&6Mm7XX zyn{_JOh8WG^(kgQa4i-EyzUF0qZ-=~KG!ORK5t`wznb(Ev`#pnXj~sqlYx$M%`KwyEJT3IiusJKSb)nRLc&kn=Mu{9A3TJVlMib2K8URdZ7bG- z;lTYr7!r(E<2eyEXH9wO@>$7yz=zDZ3ypxG1uTxM8=N4H_b&C!FAs0gewYWXR(kUH z0xU&uq1Mjbbkg-uS8~tdESMztOmsY2WEux0%u_`S9ni!XL>5DNzKPvzRR+{0!xU%v zREdKYsb{laEF-iw0Q*$yIzs9cXp==yD&=Q)V4)K}J3a%Logh#Oep+l(@s$zO6HICs z^&dg~L<>{$E{;^;|JgapzBr`VFCT9$a$6MbwP$SM&n%f&-|ypV2+`Ss;5aGC^yI&Q0@ zqs!OPYu-pNI>mw(H@?S}2soO7XFO4#ub9 ziUWl+f@%?nKR^T!23O<2U{gt#>;Wn*%T81vNIsO!ZeRti-|)t-sby+7D5nl01`iA5 zDErTsJ!l5R35FiJMB;h)LmjOn_*PhD5Q}^dmG`av=8C=4(2iq&zvKWf=@K?juqy=+ z8N8mZ-(+*_MT$JMWNY#mq#Z|YpdaF3H>`&6h}CL4WQH$bKM1v0@B!K9S z9P>e%d@{8aEs=R?W`2xwv;URuwn;%L&ehSEJV!4kN1Y=cQ@o)|MR*=gfh1*1}|w z0^qt##f6dc4!AorS%op8i>Q~tVKPLj z-l9HhW6Jm7KE`>%MWOQ>Kn^`{MQ#ex+YN%t6JA@amwM8s!8s zLx26J%^fY#Ip>|7U7d~%QrZBzWMIL`g{UBd5J>TjMsS?KcVSdV^u2JbP5g{NT`}#^ z2s@<$uDboT)5daO$&DD7a=~Fdojm%Po+si+ypj*!`14QRJHC~>fS}64o)rBJm=bh4 zY2m?3a$WL<4Rl9dJlKG;Ti0j-J}a|1*8c(US!tw7)DU%rD9L$|*pc~nEX?vT<(mu^WY#x{SZjP2-n z5D9eKS?YTMrFaQ5FS?dUd4x6wznM4y^ei?`=2i<1u|!v}Id~fYj}?PhpPvaodE!A& zP(I>V0=rNp)LI#`lJGLE7D97Vy~co{8FIcpMo}+_zuZ3tj7p`gChvTNH{D;`eFU%a z7zc#i@d9(+eFSwzL^Q7wNXFcDb%z3gWE@~`E>sC57id!K6FcJyPtl1=6W^ij{ zY6rvg5q>7fPWa1UD?cA?yq|53Y$t~_3S7i*GCls@0*};^es6=xt|NHU2WEMxaH&+C zjT=Gk4CHQ!jM~KNEM1mkQXRfBj8^)bg#d@2GnlZ52a$;MmHGx=>Gu>0}rs~g8?JA_*>B}Gf0hhL1D z9&z?-0!kMEgw)UL-x8&3KPrzVU)gz{nFyaC^6KX+-0LcgKlGGlBW>5N7>ZN+8$&(; z0!0&5a!ngU&RoQ%<`=vI#7*(5(BFMV{v&+*_g`;aHb$Ktxw~z{|I|zTTV(NzKj<|I zwu+nmroZ$*Lgo8-r;_jyR?k^78*75cbbI0GT&OCaGwe4gY8D z$0APot+A>F>bk#)zx*X;_}gtn?2CEWu&`&tf8ES)?_rXE%LTe@hH0p(=YK!?KW__p z;Y%qD$It!ef4%(I{{-nla#0hdrTxcu{MQ`}Z-(KJ-Mry{-1TpIa<^4rY=i&Q%>L_( zev^+nEd;|c!@J@Cc>nkAslwP6|LH>W_ni384Z`e@qKmw=al>!-@jvd;U>A&SVrNpu zZ};&(ezZD7f%4y}_G>KvooauqihrltA1n6XUG0zI_;*+PW83}r0R3Y){yji{KX||V z8>{^>9RJ2@zejfe#%liwZ{e?h(}Ldv^?%cX-**l~X#CF%RF3R)?=LNY|DC)38@K%% zxBb4|{+T%c8@K%%xBZWr&Cf0P-?;6ME%o0T+aH07!7fW{o12Ii3g{#S0PlZs4Z1xX z(7Fl+1BNhsyh_$pOf58u7qsDVfl0q)5kgw2=MfThFP zyF4V3sFQ8fM09nw>Iz})zxt^9;_s*Gmwfs7Z2S%@2Fr>s>Jr_Y0KN$Zb^WVsbqJ^& z#B?w%SCp@n?$G{^+35PF@l@l>w+}mm0jDlnykkpY3!uU!q49ca;PXrHD968LQ~E~% z_&I$-=h-5VwnxC@w?Ky`*W}Z46Z;^sDR0rb7hnay_6jITuL=$^kapf0X+>2!gu1|*6im=_viU2y?Gbq$nx4m z_tw%qtsOtUKj}&EifKxCO0z9am}L*cbAcSM>sqJgw(%{NmtEOCSfI3HG3~rMla2Rg zu{ox_S4jek?(eXI$a3ArrdGn*sOC)>q zC*?mD=>%O%!ESNa7FKl8Spe`;Cs;Sx_(_c&U+AcJ=Y|FI`jmCcXL4GAH;mOQM7157 zkleaCCXev~ZSObjJaYtT1hN6uiIDsHPZMnUBOC7n^+d;$k$sFEG)ijY`eog+zQ8CW zzC`O{1AsZY3tjzbP-A;K^z0%|ITZ2k1TB-9)i|rGwuOKGw1a||bLrnhhfLmmCcO7N z4#1Wwj_0O86901;9!u$L0>H}xsC5chL^=f-*nir)jx?wpH(mf;&-?V}b+jh!zEX_rfR~K`TH4Ky_CGDUu13mNqJ^bQKGF@d z#@u`l1{@C&X$?u9tq+$9t(wb2)mq3wN{K)z`9zpL$#wLMxI&LC1G#Ykump^W08$Jc;f!LOn^yM#X%9p&pP^gb z?n-Ll$rF-(zG`P)Q0ievm5U0cJ|L1C;b!U1ldp1R9 zQU-uYa%{rYnqXcqh%fGr_u}evcd85tc8mx!Y+grBV8glfYp1mJpp8|bSq z?zPgt2RSKa%})nDD*kif+>^h?V4L%aHu+7Uu!RheQ77rj{@nbskdFd7g-}tsP^Hl4(DeF`X~iUe zBuPF(D7p}k&E}_a|J)1$1(;S|cpe)w&Nh;1-1_Osjuu&17RP+wX3=r-yapUxs5naR z)Y3qW2=(B3gVcxShJ&v8Pz-}M;QPNWE=$%ibY=imimQ}q8!gX@9 z<6%|TQVivTmEb%Wohx{?K`1vY>SD<)evC;gMzelcIQ?)~?d*cY>S9gn}@EzA28}K zL7aor!cA^vRxA0tO`G7VNjV}u1?JbcK%}A0<&5}|8y9bYcCv`$NJHrdD`SK&X$I`E zT;LRPis=4$&mi;}Xk#;cOCYw#4U&lr-4=lGT9@ns@(UlR)YpF|7ulP301O^+7!OkN zIcR3vuWm(KMW`Rz)#NS?-2KM%Mv%*W(MB7)J~mm!d8=FRVY`Vs!Z$Yz9;h`;%-ebufPvvE42Jgz^zb`0I)S^9RtaeT-F}!k! zuDw=bBKxp?BwO5MC{23YgX#G28&v;Y+v3AvzViyz*M>DE=i3Yfv}*|0O~WQlt^9(k zg;S{{9y%}>=xv~X4?@dcbtmoMKv87%Ml=<69-2_QcnHJ=;^crFk{l9p_eAk+TKO+! zG>eqSAav5UU8NA&$aJYA`AxUM^wJEC4V4wAouUtdLQ+PAtBZ-T=sDI zO&8LYYG(?4m~G4Bj_^G~C|8P!!#(^G9|J zJ2Xej?Wvnxz;pV%J8MFp5L<7~Zz&vo)^=8hRXDFT+-ZomsR6GZ?YBOAY6^^~iWe0; zYLkp$aQZ{n2dDPrsFRcX%+#$sCO`=K19VzsmI<&kFMxX|edqB2O=u2TI+8YV2rV-Z%RQ%q8;z^U%eq)u{=ZT=@T&Ld*ic5`$BWD>_ zM=0L2b78$6Yea`n86^Qd?pizy)GDc3tuzp}SgDlUIP7p{MWz*Fu8N~h?$t3kittwR zba@7;&Wqsa=#UlE(kr*}#Aj6)zIkc@Zp@)@{MutH4P0V;=Cc|EeX0=_BogQly+g{% z7?5M(1GN&pv*J#ZT^)qy4f-!l-zj+%FpDaG_sIZJy~vlRJ04idH9P3@YDvzc0)|bS zR~j5kHD~F=-So?@$3KiVf&aJN==PG_XLF+2?F8lf1NVhedgDE^^ROI+8C=^|^!lmy*5(;G z?;8v(GY3Ad-_&)BfGL!F){QeE#;T!beoliy9aJTU9H)_RshYT_r)#h{ZE7E!Q zd-&A8L9J|i55WXaZj#iC5|GK@n0aj0pz^M4g<>a`JCg7bhG%>kao+>4$6AL5>*G1^ zAH4;>?Sw(jK^E0Z5r}_L*WH=gy7Qq!t#4cronJ%e?rZ*JA2jF;yBLM**8$qoXx5p7 z@3H!gG0H{Ij+lJZU?E`bHali0!4COnUEoKlXW2Y9ZblIrJ;uPNL9-a`W;z}$%bL)* z(+oTc!qp;93m5T{Tv=CIm1?dB9@Wymj~OK=)&JZ9bXmOuH3e71+OK|!@)C<$-vG`k z^n~w4_?sM?07xe%vhx7b@vAWgb;C(=9x1`2Gj_44x9$t{uT-OVkkbCzAK&3-WZ%dW zW>L+*e#9RF*9|4B6U(;fC&Ct4F4|qubV$fDBxwGV+z+8RZmALi;DbGfz?jg#^m{pL ztV^8u7-xKsvG|Emhu&E}!Cipd9SL+=JR!HjQm{s@#*x*XAJk$y95Ho7nsa5$sr6?k z;8Yu^C+XWo7FgoAB6@n-)Diq~`9MsG5llb`mgh4a27@(x{hI_{c*>4%LxDdLqMCsC zT3q=y5QFTBN%|H>6j-lz;lFBtT@^1wp7queR> zdLvbB<$+VPIy#*nVOLyV_`{2d-&+@HW3_QWT6yUtH=dDq3viY%7jn%So(1w}mx_>+ zyq$QW?wFLj_8^QJNDT)O){9<&wTt2pP;Mcbg)>MU7)_e&F0pv^&M>+@T~_CE_O_N5 z0LMvwxwi>3*#o9Y_St+Sawd|INzUXRHKb9Q(+v!PY-k2QFkiMtbhgo+Cp9iySl-@7`8e`%`XrY%l? zKc9}%MOI>AK|w}6+M~Hi=@p08kxJQgE@A4gHKrBqEWX))g3SGE{)v-chnetn7`Jw` z{52fOP8v3Rm9$?0tSbb`reVtcs69y9EnRQPP`kf9W%urb#um>$_{%C!eCF`mUj1I2 z_9EYFN+J3AY7s9Sbv;2>vwt{vbS*!AgXmuNWC10Gh&LE{4+#4KN*aD|t6jmPL^yBT z$Qe2htyV4!9%V|d51Y*9i|^HtnyC?0%ocYJkk!IM#iVX8VY2vi_Id6L4NYOtwCc@^AETDsoZZxyM6r3LbN*=G>`J9MxV5RjPi0~U{lZgS8h zvRoLui=Li&5*8}E7F5iB+UV~6({7~M;hh4JmA~SQ@A{7;xM}^z{vILj&S(4An4dNq zizScFnr-LC-!8&+dH@(O6*v)z7${`91-&3lBg%8ykgU z2{bMfPRpC%q;29vq@%J=Ba#(CD+~yF^%jI2b@foc8tc8t z2J!}R(0~D#enkSTyDnf_$+aJBifQ8(Ge%d(NbbPltc%l-UxSk)5Ke35V#m=wG}dTE zXTaR{#}w=Oeq(E95$SfHbFnaWCTG;$QYvbNl>Ua}JXL3Jj=ik7y&x%feFY>tafj|} z5MpF^YPnJutQa2`4Hw)scZQO((&2kg;65kpJ+dAt&qimm1uXi)c0V1<6PJapT>b8r zoJM2R$5U;3=c|;DJbQy0`x$)%Uy^!}5h*L!e2-Ay1xdn;Ml<9!Yqh?W}njkxghc_nJ zyd)L)pObL~Ix;uifsk!@CWu}y# z2z)QEsCGLj`?ydF0Jc1q2N^+JJ>aSfFovOtYZ>+dLyf)7r&VS~pzmm z7wB9P0$bwPVIaf0{;RRyVUC_1AK(#5+<0k%>3` zbK>c^$yA|z0!Fg+IJ6*aG(*D1D3WAt>aE?6p2z6y17?RFB5*gX*>pSvBqpSFPALvD zkh6LPWnkNXpZj{peSd}#e1elnUGy@(XEwXnDmgL%r0MF?Qihin=Bo=Q%E}gi;}kLM zZmpZk6`4|o&}?9@2?Cc^v&e|=#xg1RZ>>T!A5|9BE=w$!7LDIgkCyL}waG18+}o$d zI41G!y?9R)4q&A)GMl!Gb?R0zJRYwAe4Km4CId;y&->ObUg~FdbiLdpM1gP>D?t;F}Kw(&PN6# zCF1U={9MSxCe7cEg*~Vhrk$o_AIuFylCX@?JHlb78&7aWgAh*?)R7Q8JED7j3pmi) z8$fqtrwdepKYAqk2X12CbAN5y2yG|$8U(c}*gXRZXK&T?V6}~Ho4#8Vlnup5?E!4 z)4x9++hi;BMAk<0JrWH!--=8Z)0Uk5>$EGiraZA9H)LE9LmT!D{fy?a7#3>iMg(TF z-z-`WE89Ije=g=K&EW0z0KgCe0M%A)wqZFMU@EB>2Cm0il~Ou38JLm354YCNo&BT| zwndw+;*YgIb1Z}4glR63vnheyNM?&@FE?vQtM_=Uxy4i4LSUD{p8|DdOM?eTnYh2m zY6+dVbXy-7af66k8i-+t6jfF&q43?>xVec@wI3ihBIgfQl2Y|Yw;xgyIV7RMrh4nrVz63O)*wJi*-_sug!vHwIiXn!0gf|Gwie7P(F9M?d$tL1s?Xe?r7- zHgewjQ<#x#`|({8(d(g*z2Rq_QhCH$4Ll(N!TVs(VQ)IR0p81u!wvz_a<3|&sBj6B zyAS^1R`{9Ed;%R`*7-E_ie=9pPWabf@nLq1Qbt^4Rcu)pnsNQaQdRUX zu4F4a=v`%lJo15SI}5{iU&#G?jfL9ejQPI0giKE?T^M&Z9|+P$@S$oK;O7tFNZLDaf@n&Yx57nfiAv z;5#i}j@^^UpC@2nfgW`z?c?gf*0A-HSJCCQjGnxlw1f?*X5mC;HV*FvJ9H&dsadq7 zce}fp{(iz{zVCMr%`GSpVI2gZKUhnW&{Yvw8CZAwC(3r62<~MEgWuku2+Tlc_P$2OGoyzkZs-aP;a64b3f07wN*{vMRCL?~)O>){ z=1+@pTWydEgIn}xbyA7Gw_Xoh95{YOj~4UmIh*>FC7U>ItQUH419`!mi<;3BOF1my z{&rQKXJL7_Jaq(H zOsn?ST_tK*H68hRR|ji8RK2CW8Nx_rN;z^LI=os)C?VPRlw$x(FzFMZj@^@18NlOOO<-AenGJfkxc$H`nnb4caXayNbHxSix3fP}Qz2cHZM+_mtae<{RzU^29wqKbA;eaZ%~-j~y`c4Kx4su`U)pac;Wi zo^!8uZd9O=ah-bw#aov~=!uL74C{pe_q_%Lh{+kk53GPr_+8uQuw0LRUBNf##oY-< zx--CN(HtY5;p&&DvDGLX5sTm8?@y9ky*5_X^2^(VotVbCd$X8OLpmsvdrxR2EIXOh>S$%b-HnRRI zm^6)I5-`j^Cr2&iJ?+gf{U^Cczu9e!{9FRu!pLYO(N+va++}-Kd+*Npbm7J`b$RF! zi)1h+AgV=5wN|gC8?Ri1n))Eo8SG7QHj)D`6uR(nW_Lm7fjB?;9tn=1nj8Spv}8IK z^e>T)SV?HxHs+HZ#;6xRCt!-Su-ERBkOBOvRz7dGm^w$RHs5isimA|VeJpRX*dkQD z_q1wJ_39u`j)B$hsry=Bg@$`6-KTSX^>_YXT}Q<(J=}5QX;~V&M+|C^D0GoAq%6a( zh*dbkP9Sz1i1ka|S;VC-+I=w+KgQyaTfzvlo`N}pku-w_q3cdGPaN==2Y;d~Y zTNE)I307i0x1WZtroV>gF&QqjARCx-&o30DKwWoh;4XurXkz zl?5uBP!Y;p+>Jj8Gn!ofb7f?obeZG3`qnX8AfN5#(t5_a&-@+I)jSe>uX2Xq1N9#? z)PD?EGA@ z#yAtCnMa43+n|Ml*og((muRhFgP30n+(6D-EAssxl?)-j%Gz8)8uU%vKev<4W!|08 z(@VZLT7Njra&cKdQb6JVWADHJss8^zaJ)QIL{XU~H0%|H>`}=crDTUBJ9`rv2+1Bv zGE!#tma=ErTiIK7_UCr@9G%naeffSrf57KAmxFU2=RR+@>+O2GUQ=c0_WnzinaDrr z)gwS0P};6#*+RvainDk5CFGp;DWYOZ&3Ow8JK&}$!^FXwtQ6#F_9!*CM;hrqfjX<}kj9ybG&}8;)%d>-9Sugz7!dVmu;Wh0JAZcXVQr|-a=5+rprJT%p!z}ZQ z)D324j;Vi#pxY*^ru2Bjxj5^`Puvv^r*LVf3E!{NZs+cUo3UQ*v0tasHYzhIys@KCPDVq3r&s7#0emDw6}5s>d?A^C*eb z47oh2NZ?0kg>I0bJ%w3f#HbYLi4HT<}jw;l&iTh4G=8UbuW;^`P z8;a85T@bs2pDKC!f8GI$SVHW@1fMI*_(v`B&q6D$B0i2R@ojOI8;AZZKmYOmx`!`_ zQJnBG`JZ?A_ly4h3uO=Z8X;eO+Wx4IVn3YdKKF3=+^WZC|G(kGF0B8*A3htsF&4vI zR2~M0R(5nhumU!DJ6(&-?-Xw+0+1Atb}TKoq~ zgz>NaRi64^B}qVa;P;|rmZx37{|wI|g&g6a4*1dHoovL=Xfy<-RMua`kkN|yX@WnN z>m)f8wRU*kKE`}qF#^XM&|a$p3W5t)Q4pk6xPvd=uar(tb?JfPfW;y|W5gdUB41QS zlaQjtcp%uq=I&P+@Hh%5&aOipdXe4wp@-sMNT}AqRcD~Q>yI7rW(3X}8TqFD*l(@y zCM{2S=!wN}RV_$M8ByiHurH!m#&Kne4!NTOvnfI1HRJ=*P|`zUCzQQrB`df205yvT z0Gx8#;pPAiz<%6n?jV~Y*-9K@V{ZU~C_Ty1W)+r2 zG5mkFNjKMUaWVL_05$E}jmiaokUX(^uaf?H%@ty-O!zf=M|G2rPcE5seHGXOP*cA) zkZxczn`45nV`Scc)o`|VCw}|-rc#R`+@B4M9$NTuB2w>wa-si98^RzKu+oz)yc5__ zR%W4-U9w`H^*%o4T3bcT@_cEn-Y>ms&5km;o@ZN9A`G}9cAI%&Mtr{n-nk7gmYneR z%S>FEPxmW~^sTl38h>BET30aKWRr_Jd$`#?VBv1s>q`3zH=i!tO}zff&iBwT<7mvY zg}Y;dvO6A?^X2v#_FqhnxrWo#=C%(NLh6|;v3#*v@aA0p@X>ji=b+d3z)!Gn2;z2< z?cB*@*Qs7w;0}S6I}=iYARu!(oW3yC0OV&}hTTiYB?>;wyfbiZx8WBH^RP z#*6w(!7?J}H+q%o?-gn!4zF)M@mn;aS#%Q<_cQ4z*N({;y*t?9#`P{%qg*)tgoPoa z%GY`cZG7W&-Mntb^j$m6`moT_)G~85GTwv)_?zGk%Y@N+?_O7>beY_Tzu9pi}*nb^7VZ?r@#AG=n@;Y~3m4w4~*|b_qwlj}D)QZdSS7)=g zguK-Wsyy%SiqLfS$8gxQe>LUVy}kM3bnYvdJ01O1^NUXFJ|dPCi`6u4uU^KP50*BO zdRnCOe@(^%7m_MpijDhY4H4WOA3>|)_jZTfB?SAWwUsRR0Oso-Zqk0-I|lTV#Zk;eS1E$K2|VM5PZ<5GBT+VLXU={wb%5p3S3ZA77f772SRh zsp3xF$Ium{FFas3&_LtMb{0d1LaFC7lb}avDv=&_Araz1M2qY{4H3wqlXC|-M zsige+5nBNpLZ3+j?D9yd2GLC9s&8nP*&Bm;JjLv0~9p7O(gY4DdddKfcRb#{`oQV^(Qp2o!K&aQ3g7b3(RkkWwwDT75RL2C1I4|=h zRkxdu34>T3l0TAp#lj+2ouz80i+M$eIvj>mv(+rI+B|VM;ys-b=Jb9F6+L_6v04P+ zNBV7skO5nQc}7*Fa;sE1Ff0_1_>M0H;zvP3Bc!MKesCi7j#>VXgASm4nL_OdWfY_f zRXfw26+Qf*A9yv|d~k)00(~eLyp3ewoQyVw`^Kij4Zvc)`g{CZO@DpFI+8zVJzBVH zq4^0-Pw|jZ^#Inm9d^HJ#`%G?7a->ma3`xt8U_t>wq4N3eU&`qxD3`xP)y8CSI?8z za$dOhP5q@XSP&xr0rRM$H$l2UdAA%4-Le6ScvJi+sCgT2ccFV$7OV{T{N)d5ftXJw z$Ot)A3xV$OC{i#3Z!-<+3|^}-*>UMFAaGVyKdgP>bTds9z(N?ooPh+x8$BX9>0BT2+JS5DU`R@()i#m9FWQRX6=1?j~Gv z4Pru-z%|EfaRYTr!8he!-heVm)~OhWG0Jo^6%C7Ph*2PBKKvon3`~h%C7EA{@F(|e zcKW{_Xz-s0YJb{?Ign7b*FEt#$G9^T98*pe4VgpX)e`vgp?wx}eFc`^u94RQQD#PP zNrB*v$}*zMsHs|W-9R<`*ei!9FF(B7q_+aPo=9oPU=!@1H~@r7ec5SUeDcs;T+AIs z`~AdS!HF+5R^Rq!R51C9E#`AdO2Ww@o;nW}QY;`Fb^J6HSr7tVWO>L=#09vl)RiN+ z9SLun+eK5fji1{A1bwk1LJK?qh>8Oo)xR;80lIC!Zu9e9v(z#}>%!JYRZy|Q_>4@5 z5*iYZmo)7?z{JUbzc7E>LaW%<@XGxp70|qzmJVz;H$Oj>3m2Yc17~&3;O>qcQuFES z_Z@3BIA`?X<~#ofn%1AQK(dvx`m1H6G(Quc&6F|+u!Xma|1C~y$XQgeO za~=j!mq9Ev*ZWna5kP8Ih8IV1`tR|-J{6{dF;8&0(7@6BO>OUFy4LxK3TwrZxhu;N zGyBLpPTqRFVFgO5@s&&le5itGsxF%VDY8Q>7~e44Ojj9yhLFqt#N!JWd@wyOW8liVRrI}^G?|&;| zD1!p535A{;!&QFQ+*(4H(+F~#J?W=YT;!Wi@Z5yjkm*y7%ek)pvU)~{$_{_2w!4$q z$fV*xK{OV)-t5>q%-g!~S!OpT6~#f`7pQ&5N1F9FtZ;|L%F+t-t320Lxu{bnEA2B9 zrMga5dFt>lL^VvD^?bzj&yAf$I4h?6$J)%BoxO|EhVG4yN^Al zH)3Nq7D+#*^Cu2FxL+ZIewyc7)iukHSsd8}1C+49AFx{Ppr z?sT+*>Xrjjn08#ges5^*Fu9sjT}X_ETFGZ4ouY=^;b-k^CZ|RZx4ti6OV#3*QKK}5 zgx&ahm1jY8%Z7kVfn}a*E*np=NyTzlN#F41bYOGltmF7iGB>Td(N0FQ?%aggUr#z- zTaGe>-A>O?>tfHE{iS0=&?`~!+1kiVCRwF1aK}InPAw!=ywo6;cXz|jsU-D*@FX}P zgaVmHxsPQTxZ3IlZ!g49jD~i)t!T%dcns|V3m;7RUz6vHlWFk@6`nn`%fwH_M=Tj7 zsyvve{VuhVQ9)z>hOGwEVo20Jm!dv3-$e;HF?^5LmGm$TB(#VQT2H) z$ps@yE>W(UjU{o#)AEDt^Q&>o1-KKv1*Tm$UWv{Q*>X6~1JqXs!~rhXMZa7)zZ`-* z3)8ivegTDO{8VDfVo^}6+60(_ZaZw(Ck}^@(m%mE1+GGHL{??CcS7jo=yG805lL~{ zk1Tj{%C>NSrXQ1tG40GVA3QnDqW?s=w^j}omlgRr?UfDzvqh1h25Z4J3Y~N$`;YEA zg8CuTUW@9}`pDeH=>&n}yy=^c+=Q(+#`FZ>B;UkTLV*<%HijM zE*z$VedBF2n~zi5mu!AUglrV0l`VDOG~CGjJB^9CzHBEjNn$ei&;QAC-dX$nR(U|n z_Yfr!Sxd5K%>FOC)K6lZR(>T4ufY|O&P_?wv3%I|AmOeP$v~dmiZL7AaCxLDX)a_X za?#(%X{$WB{kDuf#&N1VU86sTQ4(=cH?%u>lv(|7bF;dJuT3LJ^mM$*+*lRzSP@1< zfPq-T+^>iIPR5(6LTR;FPfFg=B?U=0t=$8_1vl&dtOc3NL`EZb?qoOf1iB-+36qwSwEeeR@a0-Z zS9Z;e3sz!I7rZz&kY_a?R_4XO!GQP0ZG7>C_5}5Y0`6`Yu8C{~=?xyXAUBV%RRy2M z4iT7Y2L&qh3Ms<*V(M2|wzU*SELX{u%Km81dcK z&>c=K<>`&3jZM~Ju_{j`7s&2{6?J+kiPD$}o4&)}9MRnn=cJY`1rTxBM$+>+ny0ZT z`JLvD$m*)yyC(jJQss!JNF`9SQA4xy>4bCS4dc5E)(_R` zir03}Nu`IjxKUMGfU|pqii_Jj?$gZzcm#Ny^UnhR)dIl4^%Qd;BA>lfvKPMD8p$bR zZn}&!Kfjbr5MJ+euLAn^ciD-_c&(ody+1r0GE16sW85@B9CFK?#jF4TTCM11^%=w< z8hFO`D?P;o%tON3tpzzQV1Xe2e?IQ6sfQwg6WsK5$Oz@sXw%7?=2vnd-!bUF&BOvU z+FsvY#iodh44FpImr|R*eFN-BOI&2DmvFMMkic7P5SBVGMWKt`ptR~L=Ec5W9S8aY zY(CGStl5R_S|KuRETL{1D!ZcraY)%jVKDxarb;TH=f5u+~&QYar&LDh#+yez`_CZHNg9$M^5KiQ;1RmEsEs@YORfN>DsRA2@|F&$hkVDBl!^c@Xa<4u}1l; z4DU<9NKE#*e;|dBvuu)*s4DL)R&x;vgJK~5=OLdvnoiRr-}5bo&$0lK$)Fy}i}wH* zLQcPw!p`{!$IAp)J1Gb-M?8sy1E6Sk3(o!@6{uiEc#4PBK%;fRlG^JC=3KxsRE4R! zudhRgnGW0`mNfDBNnZBr34n9LS|Q*-G0v7n%=R@?U#0+h0Y^K_c5)_W)!+8qjs% z2Xf5XxWcUQ1|m@|%MnS$_a1>*c`c31`rOpgNyr25j@zb1@-jmVY$J%(cPVNEIWuc% zzub#K*=m;3r&s@bZ}cfqINox^ktuCZuF(f$QWUj=g0hqBQ})XpsDic;WL~%0P@X~I zX!9MKrK4jCtj6mg9KE+P)sFa8lVHv@!7H{Tl{h?VWwMCfx4jOZd`~dkJm!oD<~VxA z-}m?lxo-%O$d)3i^#fbfioRg^a6WW%O9EXxn#RrnBG4wQHL!wb$}(sU1+q>Z6lQ0$ z4bRVx)T$82nhs*g0>Geyd5J4gQTE@7aQ7jVwD$N3Z4hC|DQnqB^f=}>qJ1Q~f_H&B z<#ldi;=cl3HK4XUUhUB^_Hfn0TgX;L z$6>#khO%AcYtj&Lv6}7K%T9oCDZQ@{|MzTvKcy481G{(ffo$?F_iJz(xY@y_|< z;>4F$8gOt1QwOn>t$TldZFv|s%T+4uH&Ar1pvPm74G;K+lVj8#_?*2^a%a8StqwpE zWL7({3Wk)e5nHV*2#AMtTn1XmN@kbFo5K*i4D(uI!-{cJq4PcdCVUWo?~@ytJ#H|3 zZE_zzKEc9i1TzsJo4A59L|vd^)+t7Ct6?LJa< zznVr1*>DMfR?Knq;IVqO$|;)GI%v!dPSL)+rs>=2rgX>*IluYz7SO=%fsGWUgS{tK z0fsh!9j=o}BO+<6*V~x@o%;c~t?>i!m1fuL2WjY+3$C!|DCbxF25wt_dbEFF0~&7{ z)c;7kMQL4NZd*I)gYhsY_k#lMOZ?BUZ)Jd-!j(8&6{#?nQj)a$ReC%d%M3VbD8IYyZVp}?==^X?#&*!f z&b%Ki(9d<38g2l}0AOZ7r_o?HO_dFE6^SbXx5l*5b7!;*L zKbpa)t`4NDW=YJItZB`cup<%T#k{g@Hoem-#P=WmJc#*yi6x`qt=qWqak1W-`9xBb zvWp#fy*MCV#upCFLgm#yD}_BbPjnz>xgvT@?(}EWg9R%x2*3#idWF}l$Qa0^E91;L zg)nwau7M@&PZOopM5EqL9gJR=^!zmPL;X6L-n(N^H4miV;Su>hzWsyTqg%hwmu*o+yF>KBTDtp2R)7+ z)DX|d{r7{4?#EHedpef;757c3eON^rZJQ&s&?yZ#FUhR~m2T#iz-6&6kmhjMSs%Za zPERPq@amzsmddH8mAZe_ZXapFyW6^W`~QA(_~|kJd5FMp0k(=RhA0TRuk%eM#l?f; z1$SK$Tvm0UtiJ!4AI%3f`vJkU{N?lQs#r$wdKhbNl#30auXuC`hZ>t;KWx~V0tsc3+ zr?2|)VO@^OuSKQIISZkqGlEOs#~Hpqm-&Doy5MJE!L_`<$?#rNV7H(SMF1!?P!L*C z9?c=-#@vpe>MjY#J1#ff|nrI$Q9{RGaQ4SRCh@{*DW*+8S(b~Wgx!HN1r@|Ld>2D`yf zxS3Sb3dT;V7TKCs@eKTV5u!+?u*b9IpVvhb(fo6%+;hl-6`qjP5oBa0j{{`v;Z@u>*S<2 z7-`s{?=0=M8rM3-ssccvWhjds$&$LqXiKfrO&cCfwboI!toweGXB`(zE+6du0Ojx& zXoa2+-+7W$YTCkeCv6Wm9H5K#82zAK=E}Tbo1p;(T)ArnL%CtOroi7By3fI=4Gs!d z-7*tytj>O4Sh16L3zUaK)vR@Q%?!o#5-*<^*Pvt!RBgiUD&EEuJdQA9P-2?bg~lf)sO&M97Dsva~f7BqVJ6jABwQco<-Uo?Fr zg+eiY<)w}G7idcQ9IW7fHx&C^qc>|7au2*Xaf{vWWFJH4%g>PBkI&{;*VxQttiXF( z51D82h$RI%ZZwpO2Wl~0hF0)#nqH_SqoPnfWISiDK>xG_+OV!TImXX+kFn)SY&^U8 ztNLP0cy67FNx|a#E5Z)R?=>oypEKU{Gfke)uVzn7H3>}(w=A&9T97Vic;7Q4qE@Fn zM4n|H9MIUMRDHBpe(-3kcbVL2(>x2#h3DP8(&hJOlJuULDi{|4B1wMVQ18^R*r^Zg zl&!1tjvvdi_CCpECDe#HtfT#QOIPlOzxtSNPu=})AEvO5#@pRKY+=)88{Da*hm#Fr zO-XXJi+e9nAHSXLv7w+`(DzqW~6h7muYg0Yg9bsbD4mytL8t{ z@e_0;_=czmC>1RGRmpLd;SjhCu^}D;WUifFl|GB)Uk#KaWjAJVO8A@QraRNgqrIA5 zTe<}eHkyBM21NQ=RR})nvqqt_kgRU{hTOUBXq#3Dajuz@hgi38t*869_7ZcbW>!4- z=#j_IL#c6EZsl~IhGTo^?u$6rVeYj&tuMg9&z#IlS!TY>3))TcP$n5Im7C#4HU2Ef z2w&cD==*Cr@90V$GjI20^2eG9Bh-0cRfOI}7L(??W&nJkFJZC#Dz&;6L3}wHYQns! zS|vRX`up?OOQ-TSx5hb4iP+Rzn99n^o`iJVAM98Pt+fivRr>isaJwk|A9!!)G`<#Y z%6OGV%yd>*dsENdO(Um?!Ql9tu5NAwET$QAPp&b|0-hu@tyz2h;(CE{^x~!yiR)au zePSK?mWk2u#W$h6gBA7{v_IOf1H^Qah<;6=+WvyppdVoQf)wMzRNYPQx?vIPm-JT@$5`f;e0X!j$V@NJ3500wdlmu!wzoKOe`Jhqq5drD*(S(+jDpNnTE z#=dnzzpxZKT|uuQ-p$5u6tor8zzXPfS6D>{-Y1_ng7BT{7e|YMU=dDk<*U285_Zmh zGY{xTq_^1JW^_ZhPmrFx?q)96UJ!1%&hV=5a$-HH$%(bg^jfBujbz=J6V0QtFR8M- zZTo1hDqJv5$=+&OXBf%R;Mwr0$_bGb*kJhH$2Bd|aCkQE$=o=#z)Vi~U_nOyx|z)M zyvEP@^vTk|^qZyYIfI6$qNH~?SPD2-XqcbKS42$p?r=ork1~(hHTmfbbF+;~PtU(P zvgE7_5b5>j#X7(_H=pD5aC_miy=nTvx%}gGwH}1Rnl;g^eE4dJ%nQ=K>zxtQME3=rQdeKq6?`DBRM7)P{yE$r zSI_cjsy0){!1><1bmXesG`+RHRH6x*4@%?Ro&!FgJenv5;i^Cv6K?KLAm3x%bW#uk zNKILpV85#Nspm_7W`CkwItk$bz3lTOqGUm!0&q#A2C1>)$`%FJ#S`PXak5A62P|Mm z%#u$aK3Bf<*Apy&;eh4gU~7+uP)=`F4S=L@tZ&Ths{!s7M25i-yUF+D7>}ooVHfp8 z;m+-*$D<@lOmb&Dj2XHpmpsZ*_f69%$UJBUDso0CRw@T*xF&%Ji_mJ+(uVB4=a{i@ zHxxH8Lfr7gPy8k35bWC@^C*V}uQNq;SfIg;EK6vlrIEz>az>GsHb?$<977S|vraEr4MePu!Ty>*qIktIh;r(S_cH-g{C7|iuSUD+B6Rb{2xv&f$Db#` zDm6p284Uj<^S<$8oz&gMpQ-1b7qxmhU@7Y;_T#)S^~it_qP?HL4O>hs=>{yfTRlIO zPhl=Y>9dM0EO=pT>hyp*H>q*U1<#?2=`4d;2+y$(s zf_3MMAHPBQxXS1co*xFX^zU#yJP=MBfA05e{GUH5Uc>3r&GtDN_2G}j^!u;FkA3Ge zy-(#0nPe^AohVupKtnD;vsQ$f1y)@Ea+eB7ALu2T-SrOtBrfn#v=dc zHPIFPhqyW`IegsMe2YInEJ=4iJzjGD!h8PzpO1^)?)kSVV=E(Htkm`IPg8XNJA=6G z7CKQKdiA%~RdC5Z72;5r6F2^6l>T^*Ap&?>XBNxsD=KkV4E*L`Wkn z_@DS&lB0X=moG6(nQ)5SGCzQZO)(8t79~-r@n8Z5;isJq9^&O}*}dB128-rk->iBL z0xvb|Aycr+v|MWBm4QqmYwUTECFDGBt6AxB894jzfSOz=*l!h>>y<#N#(GcU$;uS9_J z>jba#JNam4AWoO|0qT|sJQXsFwjnzhWy20yes3x4teDt~3hSC3+@U&(ZssB77c zP?ul?yvXWoTe`M(TG1T8fydV)ND81H2#&141TC2OZUKzOJ>-8Z(zuV+p$x|1Cbj){ z_u^I1mFgV<247f~0_xobx?0M|GOdWDQL9$3W9RNAr{-D?jyapQ#7i}qn*6s7_ZArQ ztw#%Q@P^B!XZza-{#%1@PQp>dnh~Osa_0=fo%7ZJIeW>;H(@pbk;cS3E<@QLMvgyuS^{fz?T zWAWPiUGqY#H>X{oobhB@eNoj@a9}<>b;~`H-+F=;+F}|g3qZ~+bI^6uTmGmkz=K@2 zGk5sF^UZ3EH|Gbct^r%Ap1=as^2Ph!E=qD-iA_wBymgQ}N| zc=2+y-crHn{@_ZXu#owE(ufuwFnX78nIF#?I8FC}tn;?Hrd5i$~C6 zUs$FP7al-@w|V7lqvunJuH;wz;rAhE&+L@L7R;F@Lt_sp5%)n27 zY-Mw|D;6zY7?)HHhtUwwvgIA;bJJOuGe<^~4=DR!A&S^>jwcTowaNW+hE%y2kFFq7 zc7T8QKTfwNGeE)kh)@#13!TLf0dz` zUN)S#*S0R0No!zzX}n(S(CPEAYgaqEwSFNvNzm;Z(BZfB&A+}{W@QEQ0bm#$4Kl1dH zSpeG7RjG=3Jw_~i!0{ZNhCqRO4VD=iC+n4?pEIclZ$`44e~k~%<Eev?(QJf1F@SjRzt%RY|li1 zoxa2MgpGk;%pQoI-olrK21#Dgwr$%4PD7KU^=s8|^J3?v%^0VoW|N=lP`L)>#C zNg`bwZtF7Rbys%_HR?BH>!9$;-g*Dr^h%xlZhQ3lLADCoCeG}BA8*ZuQk~IO{Cnyj zzxbcZky9v5tWVg@&J0;D)+sD5&zw3?v_leT5-L|#qvXS3HKIO$@W{zK=0VQ&@#`|* zR1Pz#q`53R_rS@Z5#^U+K2TgRp>U@5{@{S_bGEB)hoyMx6SQ{_jZb%XC$vx)$jT># z6uM+9x8}NLu53`|e!Z8a(L=uxl&jn@IGEjDX$yqBNb5{@fQENOl>*`x1s*Pp@&z87Bq|;=PQ8K$q0eq?Jxva(3{a*E zQi_vkXEcW{zv$%7*DkB7e877JeGO7zEj02^+5qiZI?X#Z#r?3xWDIS?IL);kZ~hXO zcYY&fITJj+Cc}NM+*6l#@INDMm#6$i>CI=`@cFmbzrAn`ULe{=I>PM5KgB=ZdXdDH z1s<8dW2QQlM+>yW<%_c=!BoFrcdsM%vYU*0QdkNs4eqzE9mXQw=3TK!XLSJd)_CL_ zDHK@VP2|bFxIEY)y7oN}>57s4K`n(spQOOB{Q zKl*mPY9?9s6nKy>thO59Qaet>4s2%Ny2$H5A?KC)=hGnKZMnVDDf7@$ajjFv!@Ovg zXR`I(3-USel@5TPoaR+gbl`K$e$@J9QjG3U7RNs^Z~PU=RL8QUWwQ?ti=FVPzz8DV zI374&i2-2*`5R?WO8l~QbR5jW=4``MxSD-jlI_e&cWo0QkH6@HmtNpALRm{l&c zoFpyT5l+urXx|C7Zb`P=ZfxaSHlg(+(AAe-YGsVCuX^Vn5bU5_-2YHL&7%td`OdN=DfCs|?o?$&TsOS4Y_!%&|_x3=7h z=`Oik-?@YpyEFv%UtBO+oKN>&48B5G|To`5i#KGUeKP7?fn(NuoZ;4;xw~clH`Bfg&%N{<7PE7SO)u~dG8Y6cwNGVz48~!+&G6r09JO~C zS5>Apa#Q=ZKJyW>eYNfR_hCI@kqMJXC8F}$q`D@AcM!@POQiL$MPA~IZ=Xw{A>LBC z?gDc9-7*xJx69}#Up;73H|~+&A>vg#v^`8d9#$>lVCbm02s(%T$*aJ>o9R2+rmmwC z3lS~!c|zo+{{!zaCRq;x(Yt~VTsNnuU!__g%d=9xm1FJ1^8*+tntQodU<9 zeN}pGx|1VruJxTl*i8i??vAVk>l;5&$ui2Ukm=mh0bN}LWZp3tZiJ?fC=2x@KC7{- z)DrV~$$2dnH-X65U-?!W_%h%77p0G^LeZjFZ)&u32fra{-%hXVRQqGBZYfdPG>F`* zJS{e*xyOvxwq#lsLU`|m5z*^!zn3^M^&3mLtA%>hgjT!aBurmJR~Kq^B|OdF7O`(x zp?Gr17c~qa8Q!aFNc!xRy3>Z|o@P2U+H33Ut1|q^er1MI^rG;k708?xawq@dUg`Eu z3>3-L>hA)!cULSDh1e(-FPZuY#oiz!1l&=IY|$5OW+*J)mxKjj6KX_XacX{bU%0Dy ze!!{9bKzCZ6HMR(+F=Df6`wyuO+!JCb`0ny97{CEK}ss|Ii(?FvX%hU8l(`EqE29s z!stH{XF~^AX8Ow$->TAnodRcY zDzIrU{m`wsJXm#;;V_81$1FYKkAP$~-J#d!f(i3vs#w{tAp#B!V2TuvUMAR>dEOK) z;H0{u8lclm($-rvbs%kXrWz99=klT0lKSrX0BQ_NKN;5(q?r4%m&)#iB}Q zmgbgF@=B!e^-_=vN5}0*#P&M;zIhQ`PJ$=CXN0%CQ=l=({1{HLK3DV)rE+Z67Meh6 zD!fl184}bf3VF%LHDA#Z#|tw)ML<81O#>OR`D(wQ>02@VC}%deDn0SIaJZHsW@c6d z_@%%}yxJl4IfO;Ur=xZENISTNs3576*=8(C04?!#xccSjfIKdD=QmCQG%ip-EUHXW zkA@;oPsE*~iMP+i(?44+ZED--O0RWFNw}nGzi$Of3EK&J*#J73(93y~RKUkvVl4v# zupBbKpmF}`UJQaFV3Bh8-2*5Cg@Eeb6EZ7E2;Vm2`bLofq3I>}pt|o=(=#edFVxw+ z2;j!$j|29@N4{Ai$C$S#{872EBy|EcodfG^&EF16;$9sgk1`k^@ZS~*PiVJu$vxtx$uDaCu2rb^z^KTJ6-E$a_d2g$iUT09f@Ih)-1v z179wPJ6PUT3-WHu@9u~0_cuvnM6S?B1V=)7{tfOWPU;lH&nGc|=fx10OZ^^^U@4yM?ZQd{0D@H&E@TKCrfuwjGAo43o#_i9X zyycHfL0+NY*Flb9_mLt44MB-!vit@Ng3aQ$>om2X6UP(-%D#SYr$_?;u!wsFQUJ*B z=47ub2JHt%n1mU|)r}7>qNtCDFagr7>$JCEV9!S@8bcDiggTyruL(?sI6-J<<2u$9 zJ>BPjGrg+S5!$>s(|co(afw6wdht@ziEYjhTSVppzF)L=6Osu6-X~J~3_fk!b%r}A zGjU29i?Ajcws(e3PQBb?YW;JlyVsE-vMwZV&#eR+VAQkTTCdbqWoz``AxzO?gEM3P zs`(E!+4XMn-x@8==21`=T>8_F;LR*J@zl+jzV6;cS6x|vk_ep=`6Fd z%C9Lf{*dI{SL7(VWqQIob*0lC6VpY}@OwDDt z$_F8PipjGU&Y05t97$^EU3^`cboMi&w<9=1(hF(BKnu|6dc@0E7M6=qxk6rtMcTk3Rc*4Wl zjtOtNE91vodVD2CfE9pL=Q80QmO=7;q3UKY5eOUg2h*H5NfCyGv?oLPH|hu%^Nllz ztqSPkxpy(Hg&-+#o~#1IU`8|R*@ISRd+WcKdyWF>ISeG|t9!y^F@_xB?32d;!G4|l z<~-)>iqVMQygJ>f00|LdzPc}cP{BtOnM_jDV}|fBLaNJ(5NooZlkk10dv#9oj|zsn zGAcP;yQqkVIVnlHh#9MCRpOzTe%={K@FU6TrGbDB$O9v9%Iv7iHt<77>R8f)p_*0$ zol6WHWm}dHT>o?miAM*lV~W@kTJ!y=880h_J2?t_d(- zFKU#opQb~Cx&}Jf^k308IFP2^z8iOg4)e=PhKL$5;Ax_k!rFi{SCF?&D1_#GDx`(I z_Sj7Y#Ct94A-%b6Sfsl^(xj-FA8{{AUAG+_0Dg^D_d<-dP&Re4lGa^=dHGNANllfz zWnVJPxoWu1(s~@W5PPe2Hq8P*f8-=LyV#IlG!obHygii(X&XUnbr?bPvzcggb6R#QSTR`=Z6mY}6jh(m@s?3Y1(*ZoP&VZ_(G!u;u<^aQ)c$Mvw^93WN zso%vkv}w6;Z{&#nf_tR~`m)Vf37cLE30!QU0@Z!)K-4764pQP&1(&gcD3FA@y?@Np zaF%iiYqwbfiQPRTEv?DkIcb0mVWssDjJOEc0V@k^A6UsXtzWivbZoF+$BKL47#YD0 zC!!xbbQRIC|1E^Q$7_>!WHL{pIqmpxK=9tLFi~BC$LMbEgN~O)=y<7zh333=-Nq(o z>*q6(;4@dAO78A#CjcB;S|5lF;)~KczysH=?LUUKn)M0J=Ze|`{EnQVT&C?NTduh- zJlC!Pd10$=h&)`v&Yk=3f%YB^fb?*p#AFdKEQSHI0_{g!agjDhyYIkz(=As23Eh)q zB~AgDptt4mpG#iB)%RXl8gZG5eG1#RB&IF<2iYA5&MWr}MAM7*aIC%ypz&YazT*E5 z$v=aW!0^dAV|jzs@7N$0U-K?qo2;x}R|Q63A^PpWjV#e5x6>cyNs58p>t{#EV-gr6ywRW7V zz>47jjPJsU9pL;^F-p+^{+cDd*^u+USrOGI$UbRns`Y3k&a64=8R0klOI~TrMwsgo z`xDXEh834hP+@!MM?#nuvJk9)u#0%3$ldFuZL`o?jSNRgu!XRXC%KmW86TshKL`i3 zZ}u&fKYB=ly_0;-6Zhi$K%9RNERvGA=r6Q-XWAY@p+z`w)v9M`ztbt+x;1LU9B7>? z(!l*WIEVLBDs|o^rwENrow~7P-n2q1%}$3Vwu5<>3<@rtzJ5Ag-Nnq%mCz$}N!>1d z<4bT(_4w@<>X9X~H#QCZ>g&(d+4oPiT*|Xfx1X65tM8t!$)U;Kc{6HRsVhQmx4mji znit)Zs;~U7XBD2%5=ro_-6<=*V8K!>fQpct0sE#g=3etGrtmd~#UsMgwR7+`> z1>Dh7r)52lw|Eu|sd969Iw!x5Bf_OtXZU2CZF;7#&sYP{J%^R6ZfR=HQmQl^taQHN z_EVyt94dCcY*VoHC8*OccEP#q<62<4US-=Bx=H~UDE-E0?&x!w`U+BYpyB8y_ok-0 zw!+#AuFEeT>Wq1hY9jonr8f3-T;WeoU9s?^@k5>NRVqD0M&I5(nNaD;)qvh{w%dO1 zfKU2XgyEHX^u=-us`2nFZRV!wwzjq|j*yQrBWtf#ysRK@dvxij4@irBnjKd! zjVY-#2@@(Uj5$*0G#UCrz9x#nhj2CjZBlc}xlZSwAu$mJ#Uh&`Q!ea~ZblF#>YE5u zE2s^%a1QyhHROK`(-(fwiB~$$O(R=RVd)=}T}4`aC{u=urhx}P@VK=w#fX|%U2t93 z>XOj7i3|y~*c6^xV%wN!vFC*c3OA4bUyJ?sYwpKMz90R3d?s6(zyWxJFL??ey?JXl z9?^^1tN;uhiyhAL9KO7H;lrT%zaA0We;dSeOXvIQ-*Ks+TZSw+-Kh#t?ICxUf!E$9`iCyBx}VWZ!@&WRLPH~ zB)3Z6&E#=z?`G5RP-PBKaGvkjloc4tnz`t{=ID60G^l-=1sME(%ZnENrrQOhWb%l*ZPYO_`7`UY7X0I$t5#yGC22PwXg+B?WVIXhrqiD}%`%#3 zgYwFgRh@vXCRb@04JH3GW1eCX5<6V4m&&)UJr6vWswcpb_GroA+C5>4X2rw&G`CT zb(4Q@m{{2yWJ`At?lkynSuk~}`C7ki)_}N(j6UI$1?IN%K3ihd{a#^f4Q}g^-s?*v zwa41KZ2f6UOuptCcP9t8Lv`MMC$>ZvIz~xy3FxjN0w6 z;-8A@v^kvGNvYBmW1&=;uzT=wUec6p$Ei+>z4PTQb+3|NPR8Ptv#&Lr*`r?wB&pvMr`QtjjHZa#;J!LlQtU6gH~D#)w!Zz zg&}J()U_Klzh|a2UpC0X-ts5;N*Qi4Z(Ayze{MKY)xU!e0b%~-@5Os2ZKG^(yvMR1 z>>)o8?YrJ2uw?Zc1=|Z-6i?!;k2$S3g-Nh@AOF4O;3q~+cTJ9D=6)VxzW?s6-+>O+ zPrpdKW{--;bP`3I0#P9oJlBA$91B5WJ;-kzE0kx(PPB+6%it-#25j(7wW}=@`p&y;w8o^^okn!nD)HEu z%s<;fBqd;ExaKsld5{-yk2_UNz;SyIM0Y5)?<=~B5b;mY8e1sVPeeZkkaA7^mGd8A z3qIZj8rgl(G8j(^=$vPPDb>-`j9#8< zmqFcVon)ZXbMc(!67Pe6-KP=;1-{Zd4vKIA$qrFq&8X-bFL=Y}UX2NuPqYs}h>vW< z$Vf!OpNdIjv%A^(S%~>Uv%)n5ZN!-TJGk!0Pb5Vz-x%zghqdht3^Lz;=hEJ?q{zAok#e0{I*OX|yXVE4LSs z$|LYBbN!Q(lSjk#{6G4a*e<6lf*?90%0oa&MG|H0U>zI+5*mZac#~Lzv=0X#AJ!J$ z>w4_9#dp9bQ}m9yIt#Ejn(*|1_JXhjmQ=V}76Cz3g_sO`odlP{ZfcpoqK5VICosv7qC&XWAOER);;t~oDK=8f zuw9gr;Jodj*w$r4GD2<6$T%DBzYw4qNW;2~X?uTj z6rx+s55UQ(5s?7S&t@~D-s{W`ZVHqFx{7J-ebXE#5EiNU8f%-%ODUPWpsOt zJMy3{NojvUEtd2rIJJ@-QJ zEGX~!rN}e?k(hX0hshO8Yr}r;UjPxh{{%I-Mz4<_K1d@CQPe}KU+#h10@b5wXILn{ zl_GL6&^_x*BccV)fDfXzGw*pr;oypqkx|Me+dq~<3lk*&(c9w6n4_)8hfYvy;4@Ly zA?OwuQ&rLei1&m1bu0vdoNEZ;6qn2g`Yz9bggC0)Gzo8-H~_aXp|n(s9k}R7u`2t) zx6dCuPyaC|(AP{Os~v+i=28TGTm{B+#76XE!p+?t2ac=K_7&PB?=`!ArP=xUjIw$a zSG;i-h>f)XO&N?LZwEo>wO)*#cfOu$+Di{4dIZPU0&uD~%Czdwu8bPqkSYx7YXdM& z2E1vJhHK?fy5*I+_iVA8NqZ^Z8%CV1<9A5zv!hPd^XxDj3+y$gU=`HDykfLYtwm$>55--Us=R~4tw znW`RkEN@^1QMBqHvoz}8AMx@`MLC$5nio5L3}D_^oi%2ScMOsGz^1hjfYnPnN(T=V zxdV}&-?pg;PYMF%7is)k}pX}+0)n`qob#VnMr13-L2E_+tV6y)(g zLIYFrn<*gUPDhB;=Gq^u#K)XWMi$uG->eyy${$d@$6!~(I)4yw^^1)~24Dr0VXgq> zU-VD@@Zsvb?ZrIctX%KgX;G#bHym7cc~aSf^sqWL?V`h}8j^T4t$mGT3fYu$JRLDtGHpK`4{?(;@Hm%m5d6FG;Is~5 z4yZZ(*ry+QLD!*D$F_!ecHol02KEHmEvVN4${H%ZdYYdKksbz!etc|de#Lil2TCSt z)rE0(#AL=!Q2X->UvVrXz6`E{-@+Sbk>x57Q0f8O_tZ81I*Wxp)!l|2o}Z>KOwshB1#|b&2Er2`-tC`v<^7^f zL)Qb$#`RfqH{%2vXxi*3o$Gt}<;WtS@M=gNWlvXQb8xqGqN1kMW`3aGm7;eCwBS*5 zbk0;~*UWRzF>hg)4df@=c;(ymgfx)15d^%=+wHU!d9Z zi`4#@r{$Ysz~G)vYma&U*kbg<3`+6YiM1?i=~Q<%jur#&w@+FG_5{k9J3g{|^*b*$ zT0%9o=9Y>kUF2Xv_q?d}>*tGi23eBqaHl%JIGqn9k%f{)et!DPuTr)#!)4PJ(Uc9e z$`}9}(bI3|nLelLX(p9N_n;5lCO=hwSq*U3o_rqp?``&`@4zpY^V>po&KERjIB5vS zuNz`6PRWPvit{P0cFTNu10_!CQjP|FAONX$*K0dfK#Y%Rjz6LlP6Ss)B1PO0OYmSrnvc_l_2@t4mSMN|`ze$`Qtc z#@87>jX`+Gg@Sqqiiy@8@r?@vj}0Hl(C#~o8C-};0n|%4;L>o&vsVc#nb@HVn848i zU~m*L+h7zC-gdi8j<-_c2-oBBlBf%vwoQEFB-VL4X@!f?o8Y`24}ff4;%rSG2vf=f z#$u%3YA11^-&(18_ULD*Sk!}L#%Q~Wb_n9F!4VL(b{rx}ER$X9wY4HD{?5)G1?z--A3kwwtN-4!aQUR3) zgAkAqr9)Z-L0V#%8xfVZ0O{`T1`CkxE~Oi3so}d1-ZA6*zQ61G{qx+<1v2xAbN1PL z?X}hhshB5A!6gbyd1n9&D9a$Mv$eLiBEFd|qz;+1>Rrez6MEx8X5~~VvlpczSUC;q z-b4Pf_NXKPJczm!HA?-1W{p}ZzQ7Fb4%4|L2d%0uW(&a>g~3DeHXkygN&UR+N6GI8 z*4hQ@lu3CHa2jtFlzsP5^n4buhjsKqiuq=Ug^~U1tT-(B9@o=S{%M=1M!FoUM0s+8 z+a)Jg)S$9`e8^&IgNm%8{?nzoVdg}yHJ>)tg!JhRs;KG5FyWI4Ct%hUdyZ|iL%Mn; zsF^vrqGliQEY*m!OJJFDL_=t)#%ix4?uBdjB(F=`xCir8X}?_A@Up4-J*z;`y3kpD zyAz>WG?A}PE7HiRjua?_k4Ct$0w6GvcW~)&pyr@=g7@e00R_S2bRyU4M5z{`!lIPH zkwE5JD#b4B5#H{*7Z!wQc{>Yy*j-vr`k2yRv15RbFaI8wbPsV>gF(gO2KAUHM2Kv-_w(W^KObXOWuk> z-6`uc!3J*j)UnYy-O1CADwGClTBV~KU+K=ubYQX0YMfI3fE*U!N@Ne{sABsM7nJej zAls@nGF^AhluKKwj)X`E4~+ByH7q-c&yIfKY{psY>>IzoR4h`u*^lWZ;<;= zF*mPqH-rUZZsY+v7I|`$mIcOmdQ{>EL<_Ibe^D;8UZ%}>&%+W2tPLA6- z{NE8;L^R=e_1pSTX?>Q1UYooVs=92mGjm8oCQ9V?KE>1Q=f$pTohdgnfBdO#t4 z-bwS`HUSUVq_XR*souwF1nex!?P(C$K6o@)fAe;3nTN9s{?Q;Dc4E)lkeiq3SX|_8 zc;LmXD9yk4_U~SNv)QW*NaCEj^D4J2E9oNUqRKMN(`zTu3}m~dVNrX<9H#QQmBh+k z$b^=R57@KRGlt$$1$7UDV=tuHx&U~VbWL1)S3-Q3PDa<{WOaenWX;VA1N#cIWvzR2 z5Q}&Rdqv?`cn4XUu4aSyMGZAxh3VOrCbKLcwR|0H8s(W>539LTu?#6&%@=XOX>TI0 zs2i&1)^H7Rz80LBeXZ=%47N~*828XG>fsMYL@o#TRMz* zNpgyj1(uYy^;N8K+Ckgh>!}+yZmN1(N@f*47&B3<0`wT|tb^f?K@sv&Bhw(BT%T#~=gGSgPOQXKs zv&4YGIS!bgvH?VN0dr_Avk_-+tUr6g)R=Ewu_Aj#p2v+sQELmQKd~xcp3`f}GhfE= z`YUx+-?0(rGmehsowWl!xmzqt$NdCK1=vO%8XVcal^`6@ef2@OHg4X&cHgGQX{_RY zziJ-Grel6NRaB}CzT{WwYBudf-kU)J&=rZR;sMCK-1>E1ke<{|_zWqMwQ;N98AX_oHsyYl`8c-&8w&pC!?P-0!lEJq$fo^DeC5!Fo-y(#QN?VKw$l;(vm zlubKiroF?K_OXtVXIdD)oHI`>Rcro0lEbLd&OztlSI`i8L1T5vKK0j`#i3|DW3f#Eg95Ti&Lo{4Gtn!K5ni0) zY8rY$I*i6i8toUeGz`=X>6q)5$Ll@J14($hDJ#tG4PKal_RsMBa-JNkq^HB41vGLk zejU4h0D0zdPbIksL(xP-;ixpv@QKDsgW0~~;taANlTxGGTLEf(z0*SSL1f*tQWr;d zg_oy8IipPc{E?|ibO$-7wID(E$_3dgxv7(^*nU88HUv-O0|)~r7$g^XU>@kKQL* z{Pbr-l0KbpzkBD-0(xtp3seI^o*g982Qh}2=kbD%ZuB3G?T!#}_gEnvPEhKn)5Eei zf~+Hy*}l(W?Ff4@LpqdBwhNE;uIunFrHa+E9)5gT=LeFSi6^2|_}i(j>yZ%{YV$tg zxBqxMIY42pD>!Bp_8L!Z<#g~k<0RkyX-vG$?BT@$KXEXAk~! zu>%vD>~|W+U{G!MY^6=9?$o6fp;;g?APHO1A33c$n3GZi@2 z`PRaqH1o7MH&h^*0tVm_#3mztwDyl9#k_sNd)qdcjd2qw4B7KC{v2gpD_z_6_wtyv z#q?$3UNqrc7f@b>bU>f#;kW(*_BkE>e4sSkr>}b_ftBj|lYetkl%0|>Kt-*j$Vqo- zM3ex|{6>zz6_l0$h3w{{8T)eK_r>6+@Uf{ZN@>E2mjj?9{0^9bl-{E)g+Co(D!F^# zlD-K7&PzdRn(?TWX;5-f73|pfA;%q1V`;Il+oy2?xd0p7=R^)oz;jC08TDeTyA#6S zDIqu-WRbLa!)CG91+b`0w>uv$eY%u&jGAw)@31;$t4!}QIQplv?|-Cn_i>|9CP5uA z4Db3-+bGll`Etm0=U=2EgXowleT%H)dUt=-ZW8_nB33Yf{2P*iA-Mw_n+7a1XE|a&dWE7v$U3dpA7EL*9Qaqal>&bQBzrS*I;X7w zDob&HZe?W^VTNok6>ySl`L_}h5|VU!T@zWUD1HDK<8T04_Q^x*^Y@SX|8qykuZpf_ zhJM7k^L*5Q)dir2{JRbh#$UxI+g%Hj-d~#xDoDf(5{F!}=4^dE)O^)nNQ79x-^kmO zADY7_)VbC{wswo+SnVA;)n>5wY82tMfaLB?{;4&23J&Dtr(A58J=akWI1<(DUjC`H zFCNxo5yQZfdeqYxM`6^O;GdOZ+&UOz_ow)GN8$qirjAa`XQ23vqz!^Xe7vUVN|G5RxCeUnZ^rP*y zpc3!;d?+*77;g99q#SNb*AYV_U4tCg#>;7*)fFt6g@BCoHF{SOHiDwr;}QL!1Rk0x zoZXI7*($|4>7Xr&csHx&?yUbKs!LlVlpv!6(_f)_uC%0-%HWLtKQPU2B4wvyFTgmX1{4 z$Yt!lJC!S9%Y)*GqQq@%t_?4Rf0_hGuy{wWAB=mU41~%Z=i~2HTff3Zkl?VZWV&fbaDt z!(r7N)nwCCrPeZh(_Eckm6F+X``-xud!I3ez?TdtTM*C~g+Jb*e`7=Xh#o)t?R_*5S4Hoe*pN)PBF*PiG$XCKpe$|-SGAYoQJ20jukq~4)y^T z*Q3G}*N)xvgTYNavhpf9#)d3hv{o&03bvRN@fL;1a}gq}<@tYGJY*~lk2GIOr9-uQgCO{GATc!HG-G_bHceo>Th35h9h z!QB;MSbEUA&4Bp}obGd-;Qu_{m7Rzh7LKdcnkQ}O^>u%(Tt~w+An}i2FA;*Ef5z4$ zzS~M1uRj-dkI2No=ZekPmE#tnqb$3Q!s+X=|Lr6EtJ>kTYtP+u;fLjk?zUJ!ylQVM z=bJ~T%c80rsb9cQ`SxPnCx^g3xv`?eOPW-5|GtOodmddVexKW+lOcvGZ@671b$C_L z-aEPoUSZh@@z!18nLm&<#TdmOR+K=Mh3$}pi^;~{4zg-a_t;6v{hlQf9y-7O&HHzd zOU?^b{s@zEua2+Gf-0X$_^);%7nftp0EezZ1ki&VaeL)LqW~H|YA=q^ zJbLrNP+=Dz{@1~JItO7cZK&||UV_8=!2T$GC)o>5=tSfPm>AjK>c}Y~w1U)REbBlqM zx_W;e8bIq~16JMh&U72Xg1BEg%%1)eXMYVH)ZR}e%#Onp*P4r zEXoL=;b(T&e*Cp_w=OKtCcuK9O`PG}wf}wT4)$pFEx{O1*Tohw!2WeUxy74JndmAl5ZS&z{j;;RHzZTjIaBE?+f;}{^+GhL-aF*%tV3qP96}jJRQL9 zv5I>OFlQ=ns#@`(KllB8cog!jG zzl6oa{wQg<--&|fe-Yg8=RGISH}*l0b`w0(^1CfFW>gCFg1f4!fpbcYkP59aNuK{V zemPmfv1aUDFpvpEaQ1;fz}9b#^fUHc++7!zpk& z4{v=cRB4I-cR(LNP+ z1V?6rpcJS%Va$Mjl-Zx3%Z5I8f+T|QbB~J;(LAq0)k!tze0)yhYB=k+Cq!+};sntM z;y_Jq09rd#Mxl8Eb7CB{E$0A^%dYe16Qi+upY^!AjejUpY7e}|6NZwD?7q{gKwvnF z7`9gBT0(8y2xCqXII@&(3IOdE{l|P4!%S7>Q6)1C_NnylE1NCj_t~nR7N`8UAZS2q zpyp7|5h>HY|o)CE`X7 zfc9_Xva@bED$YBkQTC_Hd4_Updotx@c}>R+xga3@U@XhHM$Cw_^igaDa2&CU3!%)vffzo;6B<@SOvhL9VV~FYj8YG>eFUUM zAkq^=0qCSOh#LO{jm)7Id6`;?+zV=stHaATm#c4uf%idr4r-i7XkO3F8)&AZ)S5UV zf7Qi?6A$$&<-smddmb8Qv+PdC;JD?bQA6a4l(4{=lX_vrJ`%Uh1RIER+002=+fR|U06Are42GDWY21dh3|ng$3$qZ zrvxTSf%;&L;__gHw;$A;?raBN^umM=RG1wSJ4SCDEqSgOn$7#scX`8ypt^Psi`DACE&T#p=5kWZ6}dDD@6AJ@xgAO zZHa7g)byYZIygXGCZP$n=l04ZiF8YaQ-;dssWFtHFp$6>bDbgjsoA)?2{fbA20Eai zM9!qVbv=MPpM1A@gdcNl{OvhOjxXt6&&r~0diE6W{#cMz;l*3v8LU9NI$dcpyy)=q z2#tprZO6ji-jxE;*K3QZI#am~lfnJ~2rb1iDQVi?^X1Hsi8((gEsA-cy+W6Cf;|PK zldL*D0Mg$%#*W;h^ys_z{+yrm-x&w zx;$=mIJaoEsVmo%eNAzEBuDGZUS-g0*?#EwP0sC`4XG0n?X4N0?q0JnLZ=a+$g&FI zl*fW-VOdBu2X7`~1~9qUnae|q0F5s6_ZJlKDg!(t=JRO)An3^Xx03pTO6Kam;vY@= zQw>+CV(FKEHJw!a;01efQ`h5Ch<@j#h3lDK+(OfXDyi~bI)OmSVThw1b)FN~Yg0MU zZvn(zPRs^v*(x9B!u8VP*Z%C#j1yO@l`<62PaiNtKyG4>9cZ3>+zF1_u_tax?T=;wC17;X525qJJzd$Zsg2AU$lx1x6s;2&-P>8!!-h$;1cML>b8 zx=C+E{CxP61oPj=SeV+L?QC3rn=PdL?by% zlLl_hBx>8et*~FaSV+nHgO~|>Qv?r7Zr3XL5ZPelO_CJG<0svP-y&A0#?v1z^FRcl zD1MC4md4adBK%Ae_PsSE=6}M&^shyoI>`46{rbKecvUh@9s1gTGQg0C#v|_@0p()< zEqX*v-IFdyKv?}F2|N3{EMrg-nppnLvKv48@O6kRVYc(XJ(&UW2Tqqvv?l(j?(wqC z?KlQ*r|AOPS;#dRxS!$yD$v$|S)i^_Y)ts4I6UrGif|W2B`pM`rv1;!UOjgD3DjcZ zQ-N|gfa%@?QE?<0C_)mr_0laqQ$d0y1?%T4GoZE_nvZ^8*fxn!1fN7Gn~&bbi*xD_ zArRqdzI1E7Gy{^spjI?F6Obgq@%B{BI)@+@x}6$ss)Cr?l6Vi`31nNAZcjXf=Mj)y zMfFwZEjIm(0a4I@Su$gSFjN2aUjU1XL%BEv18yqwxjQ06i1VTUrw8>u%Mo&`jwgiP zlk_NQn#;S(Ot8=&P>8qEJV(Ql)qp>PrgqzVq^t|AHF|pxeT5yD7jgj)szHl3%o6fd zUun&w7ytPnQokME^`4Txc1HoXE~9ylSZ-kXa2s&lup)P7IJL5_Fc|h!9kHk0)E(zN#$P zufEn>M+N@5DwNy3hxsqW&%wotgM1^zZX&+O4pEGdA#6F#3tP^2zuOf~2akSFKSkEm z$c363j5pyq>2<_&;dL&+`cxup%$u?o@Z}zGZQQ2%&9fe9Yiaog$TmIjTeZy6qF#`F zBHXf_ko0EW5hq-TZ%G*^Xr80dwYrF73T7QekCDsKFwC`u7HIcqt>m97T1!;R*=&*0 z;NKi%;Bw^q6_ZuYA#*%r6AqBN#laOYH$)>rcwj`f`N-f|_!D60?f*10ajFS@G8%7GPY;0j+2E>?y@!v(OS z>Z{>&AF!)qMu;_samS_9<|slWLk|SEKp#^kd2;e4y7%pZNHzz~pBGbI0OFr=$J&jC zbmzcai$<4R@N2jMqO_}>U`EoDK_s#Mg$_rLJSrfo%J=Pu%>m>2+Lb=?4ZLC)0u$cN$4aqB>C zGwt$TN7NTPF3o*?8GNn>rOS|GA`Bn6C1hnk8f-Ikt#sA12fV&TjZNCyMWhI`75b#@ z#-UaP=`j9MqSruYCK}iFltJeDG=RKmH6a4sucFWhaP6+w+S9gPC)DN|0t<<3@?%%F0af5D@n^;@#oL^I z!_vWIVk^*gdq~S;+nhGfUAd)j&RS ziN9cy;p=qnhaqENVCF$9pn~ADv&D1er_6!7h6sYSEJRpAAjD+=vpzBirRm9 z-G#7xb?{700lKK|X3@{j#K|`?7b4gwd2^9g=r*uubZmY> zb{FnN)^?LcY@``~WXX9Dqb+St6Nr!`#QqZV*gKZ^56AK?GGob}&5rawc_kP6$y7FT zR?}UrQuCXgFlcz&goxtcQXp`GG zV%)cr94JEr*ZLh8pu4GXTZkC5mLgp2ZVKhBC=X^dG}OFJ1XtV)4h}pcA9R8$dAyhA z!bjGLuINA>!7)F%ryZ1Co>suij+jo4kADMIog#P#<$7dL6Xtb3X91~vYZsV+X^_~Y*lt$vzhXy=!LbGzT;u(U_(u8 z=-Sg3@GX`{lbFyj#Mv@Adm897Cx9JISIAI)f20^mV=BEW*gUDZ58G=-8HH23YP46% zeO-FbR?~IOlT)e}D4l~(yk@h$qG6BrAIcp+TrKqRv`gyP-6q8Lq%cN6=Iy#%`G{r9 zWwIC?=pbVZH$x*vR zAV3#W*No1rMo{0ByGmb|w`k+EO{LL4KD?s#-YmaNLWK*RWIBSBcT7i9&n5Tg0-_T{ zGD1-q%#e`RGvb_|8nm9Is#e#pZr(22(J2u?LVo_8P_C-xFuPCi7oORwIyof?U=ViA z)&Mp1)HVGX;A1Ikz7KUNAMp{I2#wchcg>hyF8Dywb!B6gqA+wrl>97PDn}iF7L+~n zw(4J4P45}v6mlX8RQy|XLP-mX>+2K!m+8)qM2Z&Ai@r(mzFZ6){G^1%y6eU3_4%C? z`#~DRxNt#z}usX@pEAkmaR@ZYVRn^)XU6r<}o5L|W4Ct+lxJhCuU&ePQPXVRh zLY*L4#RjTef4m0XP+gnyNo5~NjY?U4so0Y|ERg!MQOH^Y@2M{?I5kF(S z?5-79NKST08>vZ`UaD9tlsH|Q`aECZv|jUC=EuatYwiVsIw}>iDueU$hu@|M8TB~! z{fcL<3-w%6*|~Wzql`-N^;1T`z8qwuP5=wDm;#fqxqg*Z$UfT#q}ZlbKTk?t1bSxS zntyt6^=BjYl=NDM21$OUg3Qn+jvSD#Gj;1M4C>X>CHZamFtu6LJp4csaLfh6yIu)= zl-%=fugE1&Q1vG8LmzY=sbO?d3YoSAXydi}JJTTw#V*2}#7h7q4@#sz)jHpmkT zxcZ(6ixdad9~w1Ah$ysz%tZioE>GF)F>VlAq&_I)1iy0M`xg#C z;_#O|eSajDYfI-X#xFDTKiW%ty zncN?WQOsDH$x7h2=|9`gLe<= z)93-?v3wkc)!toOnPmrZODHEFVS7cm6EZ?wK_zSFfW7~P?x7QT#tzGqDI5n|q-wZX ze0HM<`hN4x^}k7%zoc2eTVDvBbu-u90I9{c12JTdO8J(bW)TC$E10j~`>0K`%N=zG zbS8=P%g4PN1aKllc#PsTfxc9>33j7DiSOc$^H1@f1dbKpfxp5ZVB1|WjqIBDmy66; zNTvNbL>w0a`(Nch1U(NTKpdjHM6dafD7fE#w%Bv!xFgJi6U~RZi2NQ7DWTHy#$sO! z`dUFxNLg7`AAy}d&1#UB9bUq5j`{%ey2fu-DfF`OR{dTYb^u!E85JhqlrZxo*g|$wB=*Up>K<8UzMo=YWv2~O-h+7I?X?E`qkSjiZ zj5DXDs0mD(?SS%FT|rPtD0drUr54)8$+|&_zecNS(QKpV?@fKJ`Ry-D+}Fv+ zyVlRJ0J$C6!%p+|*Nt0GnzvXUHH2O7GhcK5+7l5%ibPvTr!eRxSo}g-#T1nPJkS)b zkrZ9a2cn^CzVI)E_T0-YX~}+Fi`yTn{hoQ~WWcqD4t0}xt%JTJETdM`F-eNS0Vzw{ z?fy!c1~O z75gD$HRULZe+y;9R)VfZc4Y%nGDgN`6=XJ>(gvj!S_22=+e{tm9B!*MQ#rSrspz+(wrbw6I290kFw-q?_}4rk)+Uw4T#5=vIJ{YtJ=${&e=7*`3*k z9QF5Z7|Z2eo>t;n(VEKQ+yM-?506t!Ys4BG*A^8K0Xr%fe*N|eNJcg?47I2xNAYMR;K z8-+EbE{k#2hsq+tX4pTl+#HgeO2PFho%15Nc$+=`-7t%(MxB7Z3HlN!PJg9dxb-2p z#-ZW;_ieNNZ47FMQ`50;*ltzB>{!M|BvYsIt_C)jT;Jq`&g7K0a2FJ6Fwn~HI>m*h zHxbKa*VRur09EFo26an?LnpeHPRbD$A7RG;YjJ~K`tvu^r~WHHs?_Oy zp!deWhjLK_w9ch)sw*{%>4RNX%LEB$tpwwMS4p=F#ejZofS#Han)LvdaHAf=-P$H= zK?`a1p7$9r&&P~Xi}e+lH`kUp$q!A>eod3Mn<|1jU>-<6ZFZ(VIP3WbCr!RVwWN9l zxRI@02LI74(S7en^uXJ#xSTmZ=A z_bt0!gBc9-{94~4`OGXoC3H8(9FKLUSI`=%D`@TwHMNHZZ4%2iuhMx2@nz8L=~gDe z2OoDJQMaedJ?6%WI$+&DU_J6^8F-QGrtzJb2JV~1&d}$3(8r;RUmoq;Qv}b^t}-u{ z^M9o18^lrCPEP=6HgAy=tAu_%3yk2>Esx~x4T!LrNmfd~@q&cTq^I&4RC2k-=`mi^E z90v+0eG)5?k~Y@n_yogMa5`rO3Rv}ht|kkhhh8SX3RaAd`C}~5aj!j$Cg9x(;Ccfv z6qWZ*b?BU!sbee?1lg{%$2@Lc*=6?_3tY7!kd$Odvul>9O%Xe^xdMHatpesp)mNFp z7%$g8msRkU9xam0vJ>2);Pf*=fJSBPkA1{DpRS`PoH87rg#r7?rTL!x(-&vWq@TidyHv4(6VK!p=dI7e?$=Sio zd4Bbu=_U1-yzWqJih59FEV?dA3NiV%N{4e{`%s4%p^n2$_7xXyHnclJ#To@<%BM+j$`3$>Gr|^%k3hm-U4-`Bhm0eqkyB{cEh3e} zg;!07CdGO~u95sbP%7@8)2$i$7MEh+Jm`PG0;7ql!tqEOh|9AZIzaj;BvMI0i~-8V zU(iF`(~ytg=xsn~`+vTZ0%ao&S}lvg&dZNKKR=KGomKn0eHhHXA5a=_f`4+y<-rdG zwLdKLMP$<=qe)88v%8lfe1`aW73SONm%4HFK*FjM+HwFEwUuZ=w-ehzK@j)OgF0Do z&=TDE7N@(fF?jy@xt35NNGW1T5941XO!hr9OMh7A5R$}Q=g?zpT(;MNaGk0 z`3a8{vD=|F;XW9Yjsex_0~{_v(8W+5Uw&TAUfSdMjbH>FG%XJz6h2LUKSAq)3HXj; z9#b5xcZ?!%@I-eQeI@V>8b(HW;b%}{gUm@9E44mM ze|ILiN`C4~%k@8co=yYs3|T_1C=#|1gLeH;7zxTI;uakA;PhBIKx;enhR81^A>l0~ z8S;ylqo=!b+4J~`2=?I4J#W!U3=&YpgEYZNgB&%USO080=ZYmHChC3v=)?hLNZn7!fBojYh)qlZf=yw1uX9*ZG32rmgj^2mf> zd9c<5F+HnmptrCWrqvg~NoM?y-_Snp*3SEq0eJ^%BDU+7)=y z8rrbnF)^94JGVH%)g(S%JQ19B>bPm&37ChB;_r}XMu6E)*n57!4;x`8i0;n4YP|cL zL7(8uey5@+82t19B;>+|$oF3}?PFQ{_D5z3j}aLbDR15}!vAbIqFY!%FO(({+8}?WC zyd{5lWvZ*_bP}DF{ojPtzwd85H&(d8-b~O{5sySREPOUIXh3fDO%eg!4&axl!A$kj zpwRYhh4k%BHuuBe4UoRjA34b-4ngYz)G(*%zVDyR&i|c{=Y?9Gs9yyAF}>UMFrQum zx*rh$w?el$6iA5`A-YqO_J;`1IdE-8o~yl^H}UP7>1A=dTv);LHXXXg*9TDE={`3)o8ExSFwS4#u{*w^a+Ycvb-owU- zLq9?{rwrzyqjek3Y|lmHWI0%5d+A{Vy-x1mo-)A6Ot!811?>}!^2_`1&kk5_Etljl1M@i+n$@91+JcYz9bb<#Q-mF-zK4Y`@|Qi^w3Vy{%23nq4W4 z{{Pp31%4^tj+sId;R8}A7BiekdI@y=xH- zzl!E387w1vic;jqt^}EluM7RACN94?oQZXC0nF6cdGFljVG$*N``V{V`7Hw>t>aj zg!D7Ft_Sv;msL>=Q@U}C051`@f18(hwQiPYlja-(5%SA?M!3MrcP4nT%y)U#J*#}w zBeC(m-|$q=V;!7O`$Ap+9d%B!*JB=ue??F!_l`JIQ61!e;$FR4DCu;6q(;MQ;Zx9I zub)wXYbW$EV^u1wRR*i{jD`Gs^Ir;_UoUBYnl^e{TPWEqUL-u-cG!E(AferAU_xlb z`ID}DuZ&~l*%bA=om*c@Ce@Pcfz42>MDG9yV>ED1%CEp#AD?7&&7?;O9LJt}EJBZ3 z4f+~EZ_0OR?G;m|9@EaSNVGVA_NlRVy^PxOhS>|6cB@6dVx+MRtd_i>q%~p9TnPEU zn%^NSX_{Igw=~5egF~GQ71^_kKN0aTUE6(vcdc6E!`0^(0}~HJk6^(~nFdG}Ay!@W zlvPY8ZaxD<_@v_dJMEed&A+NsaVD{v*RL69?oF;R<)LX`!x@eGwq1VTmKWrx<&`b7 zjYD(R%^e@HXRFKG$UE`B@)FrRIW>)!tsmm@aBET=u-9C5 zg{dcXV{Y);yJe^HK-t=LbE|50>Vl9CUx&{@c0KP}bh|E^wOChxXFOi5hFz5Fh|LV$ z@Cg5$Lds$j|CKDs%Ed>*(&-7{6AD>?+>>HLzk@>_I~>DaJ|;8UQwp$#34wh)+>RSh zsW^0B*>?SEDWz|AJ+Eqez!=cT*27F(f~gy8eq3_6E1n<{F0(ApwiuNjv~MU5*$}!L z;U-D3$Lhz|o`F}AlO9IR1(6xA7|Q9>ZG9RY&HL1kp4U&EJfRY6Vcg!{?heMEWv9C9 z@&+io<+jSQdy}Xua*8o#(_&Xrt_Y5m~`ZSqe=JXFyNnVM`BG1(aylZEs<(^_Rqt4A_l`B3}(^w5I z4SZp>QXn0^1n!$IzBVH^?$zu4lm_FUy;pWet^8$i;$)zrBT#L%7;FlqgAgAujn-l^_Q4eq)r6J-z!yhDc*G_{gEe1EQOp>{lPG-adaz)=*K;n~N3j zX!8%KNf!_lG6PtXp>4$gLR3x2iAVk52%^vhN=-xXqP;J*#aUN4Baq~v!Plo(ERh#$ zBy}oaXYHWHl&$`K$K08+i-N`z_=>=o^A|{x`5O$e3THx~c4< zE&gQNf;MIxl1Pemc5fgGm`}gE)V}|&H6$GMc{)!ZYE#L)`&vhqrZ_<_1cL+^ajSR|+JVeO4bB zE-AikEWnh;3>yR$bPPhv?xaCU$JBJg#>hwzNx=AZA>^crFGGM4{V1%?oP}d|2%+A{Owcddh>=(Vr!d+rS`)D%og<*DR5${vvHC zngj;)dAp!msWvQiJ+OBfzq=dqCNdlYT~w_bNq7>M7|Fi&J2d=e^Cv73`g z8tLq$k4li$*5c-4LekQXUD4p4l*YB@%7~u>hw&4gj0snUDlcZtujJb@G9m-yQVe{F zCa6@PQ67ce!kHt`AvA=Fhj6F|{p&|iLB-F|KEtQDIB}4Pm+cBS?1m;k57eQxH|y&G zsZ!B!T-B>zAYgJp`p(FTim+DATkiPJG@2D9o|1uHWBAwlPo|HTQZfnv3jnEf{;&i6 z^Pf6>MD6;RNP7HYm+(Dqzt-prq}_b`0m{7#;HE~S2qKwAXuc!Z#%9?WBe_YkZmVYZ#LmjfhU zS`hpc|H=IR#e08f`0KTWa}i?H|JFkPJRv7Fxb2aqAAgvF{*MpTJCAO=y2f?ne|aX` zU&*tLjEvd}V>7M{DpOD3PdU?C36v4$rn-{aTfXtiF1%RASqzK7sj zFCG=IWe^owpW;%Ey+>tLJ5;bfHbDGnene9lw30`Ao08-9)@M#yq zOptncFB(x5cueKmYriNB6t2+E%6kP)UUCf5&ma+qTRqK z?{te||AjjNXVJ)%F&Za=@F3f_EBS?bV6M~O$XC@(Se~|v49WNx<Fm55i;zq10=K8Cz5cvk$R$H?H~Wn0ELZ0Ul<1>qC)3`Un#+wyafuzOLp>) z@XP6)dk!8&U@m}7+NWW(b$7h{1*DG)vhFhESui^W)8UYVCGHY%((7;H56zbN!$Nv{ z(F=F(N6;$>IRl-PKyeHr=;$IaAVe<&9C)*>N+6zQz}QCy43O(MAQ2nyNRPB~gido4 zaA4x&8yQA}#^_w#F{qBrsME8g^FrSQkPATq@ud!Nm`%>erJx3cDU778A#3Rm|T%c_< zlDcOyV0YBxRYXKYo_jg`CoE$&EL7%=iQRIDzs92&9Oj7Btol--!Nj!VWb#Brcjtf3 z$FljtOoyK%Vk304^`q>d*FjbNY443*Y+sSB`Oq7&we=}5tC|NG{5FgSJ%^ap0JJOC z39P6g{_6(jZ9wDVolwEvMPs$>NB7J1vgIts8p7w@H8(z+ey`~WuX2e?rCC}{sG)s{ zzb=J?4~%i{t9NcZ@u;QVR4$Y~K+T*Se{a0HN$+!7v^`1r-8(<9ht*3ub?Jd{`8G~=kw8 z16kDa8iF)W?Lu1^b@VqT$N7%IKt_5<(@$W&tAG>8LzyrA8za|nf2V#gJB7M9Kr%?qW$ZdW z4>{0JKW2Z|wJy2P)VKU*hwzhzJcf@84~F$MfaJ@7bhA5K_Oa|eJ82SO;eQu%Xr;VzQ%5a3C`_ZcX!-?5C3h^ ze_Z(fl8os3?`IMrWk!ns+o&_IRd$DuEMsw_*r8MXzeGjLoew`R_yN=9-T?{8j4JuL%2Wiu9e{jBc>X#hJ`fiq_*G7@Q@1zKW+V} zzB6QBHT!y8Xn%yD<|@ws!FVun$pFLyHg{4VjWgU6JKfs4-N57apvh%y|ZA%eywoKS?S#G&F(Ygs)HYY zJ_>AK#R9=qe7v(0Gip#7KfU{$jn=;3Au-{oc(#-5@jf_cZK2mSjD|k<+ zkOA}@%+W+1K(_VZRHW**qHIb`DUd*Onsk%AEzrD7-1riWE8i5US31CXj=Qze_C;Vb zNPjO4mv7Ic0g9pyFJHa34?p%RWm+`v)xG}J+0KI7Hg&bOcFhSqeVjZ?L2hMa~ol3tw<(DPa z!GHg4%H0Y}yPsPU8jb;$Yy~p$MkfTgjUsWM9z1E{O>0_Ev{U=JmVLE;;eqWr^6mXk z{O(l9zAudTOTCkqZs(6PWnq^EEV8x11ajd)cETKWXll|x{#{#xbL!niPia}$O^S*i zd(zzrO*WL|Rp%$MYgFkoXc|6o)hf!U@Lry8^7MMe)oZ%nNE@*(F(B3J<4UOoPvkzw z^~a6-%rK@dI3qZ1!oO%M(>c6)1S!Or(H^W;0dUnDDu`@6P`qOQ&~{^C+d4}vFRfw3 zV@U`ICBxvqRHqb6+`aEbIqjVKLEqpU>aPbC$DF0EjHZlqXy0xV^?6jM4u9Ho z|6w5Sv2GX3gQ@jwv6uSur*tyvX=9EKztgJFr}OQ|Nbb+SvBM5#CX}#CDUjwmEdeW24XbfnJJ}@r%({$&=R7ZEzIZ~*_bFkRhx1HM9#((%wZ3vg zk*(ya>uAcr#c!ooTrJC1S;#6dBG!lU7cDrj?@wq3PLov>8_t~=>JPYOT!GO%x+L(} z+Rk-)BYiNr*6Xoq@xZS-y$UyjV`T=^OV-wQk+_+A0kbN%{gTsZ#0oO1qna{mZPbhp zKZo-xvj~O-Q?*lHHC9sRBHe3$f{1ROgCo%3be?JS;pf|{ZMf39E&;so7!1_Y$s~PQ zF6QJjhQjCwTC``jOu_#?L?aUAX0wJfV#aTpH_8Q_} zl|E**I1Vjty zZEds)WvG-m*hW>laptsMs@iuonIhZqkn}{j&{lI0u(N6StZT%djTASn7#IY_Rk=*f zw}zUnWwK3QbPX--w3Xqj*GhqSoO0~H7Yd=*(eH+lEp3g@?SWCbnfsEdKWx*o_oTDst*v$i7UG2;~vmCpWoX-w!&s?*D4^6Vs*LFHN?lV z@=T28#?|`?wI<`!wK zCE%`z{ar{l_+WomHEL`f1cF3kQpVot+86g!d|!Z*#}%EtA}|V$(>-YQEe@zC z;QL})sWU%Kx|AI$s9D05`A@$6J86icaN-IL-wp_gejMlN@Upf%dg0w#MA1pJzb2pt z#STHQZK|Fk0QvcE+*#{OoSMtr^gO4({kP0-9IoP*Vmo$SVSPQqd2joXT~SXvON$4< zRP1?3pOp6TfMQSY2?@hXJ#H>h@>Sw8Kf| zsQ3aE({_wixp=b)FWLWVau;9T5m`eVIA5JXX9%)a8aYwAT5GBc01}i(TORT_G_@CL z2cT(MYd0;B2h1(KspD$Mb_Y$UT~SmAk|?g|+Hv$6Lj9x#kH(2OL8Wv9$=6nY4SH|a z`(V~I-dmW9rinnlso<`BrglH2(*xscz;i(kOWJ`Qal|{d3)$S>NDUpO&shjl%3?|} zU<}#E%B1^tAWArGX4tl&k~FScYM)Nv=qE6PzQ8GJ%%?mht;-wV5#yBR_GE3f9?MqG zzuy0x3Yfj~M=O2S$whkufVgg{Yfj*enV{uNh5E zX6JgLtsYHjqZn{+2R|d?t$8#p52EvGwPEeU0ItVFG`G~gr=*H-$n^lMLUk(?;9GIW@MKLVF1ovkLo z=a2+p4L%*bc&s=9&1TGGH9I{p`o(Yn-?$c+$0*`({JFKA&IIG^c+t0 zqDdX8EY1L=^_`6)PkMw5CQ^}Id+7D;C#$SEik;!IXg=eLu2V;nLjs*6)j47K6BUTmOZ$uJV4v4KP8M!|0wG+s2QO5zby=Q1 z>e@Lb2f`M`m^YK{3&d5K#eEhRXWB4xxDfF)kqu^vUu=$e5qZAMaA(umbF6LeZti1c z05jcexJqKkl=%a(!(G~YjR`dYHtE2hU(m{{N$uEM56mlV1Vy&$I#@#^uwVOv`guGw z^Ed(M%8t)j8vDMq+n2O7TkcQ=%de{1K2EaLDs!g-HTr!#Zhzew^-Or}E>dIKqElgc zkGoy`p!wOrem~8ieWrsd)9y}R43YIS<>Ng`Aq9kG120i6=JD@{mp9}~S|HWZ^8EJZ<3@pC=}s8v&QT-2 z3xAkNTtMZA7VpBv7vI0!tMsou`hJ}l7e)60^%dQT#*fRee=J8(UC2>=*q7fHoI;|N z=fX3wD<~*P{}tJYmfaFv1lXrmZp@}UM?>&-v;Sas( z;TX>2N16O~;g}Dwa^Tb-_TgWv%WJYxpc-6~WuD6>>x{AiN?pfKvd_qdV&IuXlS0is zV8fEtpmku50@bFPxSr?2A%L&#uknB+q=hDO%RkH#Q5{-qk3}m)8tmDAE$tHz=%Qzl zE$WGD)Ob*@j`2J!F?&%!`|kHQK#1_8&eFPz1=;*>ph6ol)*QKBIa|FxH%>@R^QJQa zBo>2zpVY<2(U6dT0Oysd#4JQ{YP&N5z1apD6jz~PF}gUp&Qa1rOemar3^uP#pxkg% zw@|SjPwl0S&SuAxgWVrH%i?C9_NPnrf>>)TE+-;1LT?~6o$LNcl9bYtmEu4s9RJRD zhFhX-YGuD~B@Hgs&c^r4X z8iTCE^!2#xBMpnUzRc?jk%g(AJ~Qsu%%DK@J`nA)B}Z2%Uj|g~5+qIK7PW3NCeMT70IHYiI_Z!d^ra zf6qC>tNAr?s9W;$u2+t1=Fhs4EaOf;-h+v2otyFkre1TVM#@=Hcjt_bk9(FjbA|jKSg#E_<8;v zB|_`stsf3e!%d5~@bYt@>lwe5I5IK*ObDba9=(BbxFzG}tRzQnEFXF-aGRb1PD{IG*1777893?%kV4%0K;N$Rc1|?U# z&;zteBpoXbgSu#SuDRz#p^$N%i|#J{s=GFa`eS&_21jqPqxN^bc-ZP3mxubAP%cdI zsplt7$k-seP8eq#2s=U`OJnxKyi0d%D!RB^v9Wuv@%+KQ+xn)o4=X}9QVCA+kl~zC zw*Z%dNU&k?UG9;0xOpX(n0_N)CKQl`N+z%+2pCQAlzuu3YOI_Rj9p7eQi9ZM=2yvx z8Xxo}Zusz8WGlbf`Rc0{W)hjVN2+$d^YJ-(^gf~4*is>Hw2I#A-F~E3dlzA>f{;6I zMQNE&4?CRYS@nc6lp&Fp`^De^~b-{lK1e z#O?@?lFCl^OF;->k4U4io#Vjc=qppHp&Rv3w^T=jjlIf0G4KSydix}$?2{k3;Hk6a z#~g)2hFP!r1th9jsWojo!@R2ayss@IWJ}!8{C$tp7}q5;iNu35fEkVYb?1~Znk##S zW}{1geKv&kzkC)~Y$kzcc?yio2nV0(=6$uGuyUUJ)%+8nqKLFmBO<;s)MD4M%d;2Y zfO(wR+6gF8h_2!G?lqI70Nx6D7SAP(MO*P9zWfj4#d{VngIf}UWf%h&IsP0ZMj?&6 z$;u1O@r>Y!35^WF`LeD^of(NY!)_DITI^#9&E(CUF%IW5@g;e1P8AgG%t-ao-)}s3 z*bMSyd8t8=*&|E;v2Q3if@^FX&25*2e(`@N;f6vDms!Wle?9+KUJ)dfA9 z88osCb#guYNM_<6?0yXq?&w*3z!Y0e>(08US3DosXX*RV?A$xy-Q09PiHTd^GE}!2 z&sN%Z3}((0RL+T)Lvtq$QuSeLL}ZS^1r&d?5IGMo&*K8{ZKhlBfQQQg7^~8L)vl8I za5mL5$b=VlpKWz5x`i$e+~HLF^(NIj{kQw@?c+_a1L_j^e~J(rfBD_iVFGPe|=%g6CHR4_KNiDAwd|%{k35S*H7PyegjRv>5NRE z9&LGKF?f~^L;LfFJJnt$9I}6j0hStZA5T-&aHwoWafSc11A?~$ynP5ib;B5uUn9zA z))w1BZewbSW*1HE0j(Wfv>x8#z|NxL3Mlw|7H9l|9Y?jZtPUDptaG`U^>g{x8tDr; zjjvV2ouaV)Yce!HUK=u0JikT4Hw5QR9W;bd`1@bimnQxig^24RIF&zd_i5gin%Iq$ zv4HF0{ta9NXqn$FLZvkX5+Qw1GW1(hz|eLG+llq`~s1tS0a$xr0OQSa+LbV z7cpB3)d{#un6WSm=$3s0;oET7SL)g$sw36iO%V;Qqv(xA*ZnQXF_YhQ&ZsCI+BN)l zJ6^rfm9T97AunDp+z`wNi^riUq)$~mMxek7;!IS&!>B>HAF1W0681yG3C%y5h&Rw2 z%<)EtA5HIW+HBKxEm;V{T~M0istQq_AU6EeIA92WY1M!dV~Lh)sJZj& zTFo!95?eocT=p=T%M)$PE6{-?W`Ej?gEaRvZUKTUogS$$b0C>0^;O6+QvvCVh+i>? zJ7vzkmRT@m-Tac#+wHm!(#A?epimypKn|S-=o=7BRn*>b<(FNvY>B$dGLaJ2hQhGWkKVgU%zMgDRdbVW^1;$7B=U-Mg+HnP@Q#XqHGA1*kY1xg=l|4bv<>ccm^5A18>PEwTQZ$CO8 zqT+0RF+(^lC&nRlIDMG9p``8D;FrXGOddnKLIx>9c$)YroY`IxcIo9CO-;yyUyS+s zbgI;IC>XFJww^VFK4n1gk3s$>K=rJCnX-t4ghJ#zUx|mpXNpf^&6g1YL~(MmQQsFmYbswWk-h{+AoO;^#=Bm&1M z^wObeKr7gGX7mO(rG!*f{TvM_L`ntfB>jGXv3QBOv-|!0Xj2WP=ydy`%4+J$oWPoA z>8YJ$U_CS=wFr(BAO<;fT-~?YtPyUJSBKv^^HjKcA4lM+K-T!=h5ZRqvsKGJwDiei}u*Nva>Ian^9R!u)rEEsg?{AS3rRL~s1Dj|w9OR6cjeJNZKb7?e)gu9R zz!w8O*kJg_S3lUq78}pnFw;g|b}K}5tiDx4h0ZeS0{}f^Ot0HK3Ddm}Re+|C2y7VK ze22H6Ik!P3>_#8;{W_sxv|5xD#1$sO)Jf;8?_m1Y^BI+W z-iVl)MA5k40PEuHN8bLUGX3R+XN>K`SjoafQn#UuWS0oGpnzT3EAif3(UGelLxlgOj*?L%0rcZ?eYdratt zQ)Q}`XL{9kY^9QJbazEupbi#YjBwdF-V{qU<)6ashnXf7n@a?h^~_(wsldCvJQR9- zjiDL48%^Uo15fUzR2jq-QBX{zliPXn8w3A-@>4S4IQy#EOcfx6B3K-Nao)&_5Q;?7qfGkwEgg?25T6)#|uAS%gU zaC}HJ#@QTalp39120MH#Rw55uscROy_nlb@>tNiGn;^(}H|3Qol4VRv*eI&3Jz&7l zbefYl9}TB2uCwzjIPswbQTe00yzd!G?*?pM|C-{OR5I< zDlBHmWax^gh2vA3G~M@4OUx`8(_)J>@}1N2$59i;$`r|+_55rQ^{>2DNo+GD1Amft8s~mI>*vQisfSh3uhb(N)QoqaSCI3iqZaAnQb#7rli1SY6dFT*8)m`6e^S9)Y>#%iL{q^1Kwt9 z!XmS2GYhIt?Mm&eGb$}7qM3j2qW_q|vOJf!VtK~Pd;{J_&4h5<0*g>Vv-8g#8K<(x z91fW`UD@9iE6w9&Ma=yAF2aiul`~d&XvU!JLCNe(*^Q?-6)xivqlnu^%|jUxlAZoZ znhmH_xHc}#Ds9lFpDpmj!LM<$71miNr>>r0_wUP?+p`q^7~#!-$PivbwZCylN2Gu+ zHJ)SzNy!K)<*e#PHTR=Xku4q_wpdH3^kKouL-;)dWy7c`hM!>cq6m@p`iR?v3U(7H zf!aH}GWaX$=gGudCxE>SqBQXm5SY}Pd9nY}0&uIO->5?LR6z^LaveY@x3F5{gJS54 zrM^_6rH%f$qq13i9?Na>^Ha!amyrt}VR6(xZk|yX`!w)W>tP%rPaDJC=dpS zIuHXDogZfAV(bi!MwE{Xj=d&JFyRx5$ko@ro}Mc1H;6!aa-hkXWJr4QA@$@@GIOt# z?knqI4GBtmjesNS$jd)}jH3k)Fi9yi;-M?NkE!`%0B*K@uW3!`Y|d;rH|yt^H=t-W z1`cIHwNBP*RR|feGvBzfkfAtdfmYAxHsey&6X&Qlu7avg!$ah(sd6}fk3kj_>S3yZ znMD}l(1my>D2)w#HXwQ*agYHacK-a7`D2$si^c-PX&7dnP(r9p*g#4#P*L!!w)z2q zwe9ZHE>A9%NERm7fh9)qe%**c&G6xEyqh+ojC~`Lf64}7EEtpx85f1&XHwJSSoENF z5US3;+GgO6nGJd{CjXY(fOgPZr%Q0WUfqLUZ__ns@5h=ZP1|R*a_J8?bt>r@B;wt= z4AC64y>QA3w=lRwGVWy$MpB=nu7`AD@MS~`b1^JRaXqw;?gCk28h+Cp(bpDu4@)y1 z^Sa^cADCN2*Lfb}3T?m@a)M6zg@Gtt-%LP@Am+axho20)A0QJRNMe_0FsYORsBSs$(g4&&8gpVVrB z_8E=Lb&$iLx( z=;Pgzn6@7MZHzP?A($($PMDu~08mPPkDvFv%HtTA_aY^ii&XcqpWsx&4ieoNBj@#I zjX(%80)$s$jX{l$8&Nl0n(ZepO(XK8cg5*9-A{CUb}P;p{rTf->w^jtCU#KJvj&r@ z2lqq-3Id;kmR0E_C6+AtY`~@?HVCMR#G9Fc@oz6=J57nDs2X037q?T=x6I(mvoO4z z?4OkRwGj#-0rZAV{H6n)H?5w?Y5z!hkl%o(8jF(MpsP%$V#hbYtI?#FARK01?Sz94 z?gC}sLVRHM&YMPtYr6OiXh!r;DcbbY1!IFrWspxbMieS@MHCg-!1W-_2oU#9Ry6EF zhN*}cw#*N2^6rJrAo1+79xj@}!8p|EPvdX4_n-KKRK5b_)o3@;?F=e!XpK1C5a-g( zeF1`k3Sd%g6I3%6VW=!)iVNj|@&lr;UZe!dTi?LKMr8hQ%aw6Z3ppa0ICm@d@{5IwI^)L${7?9^ zVl+~l8yvX9(u;eK4VIH#PTJ><&0^64b$16wT=MP0r9qa}0-)lSXjkS2EuU31)Z%Bs zBhDhD2&!U*cRn1gxvlDRg2y@Gf>!!_$gIusL6k;M0Xo`?CVC@B?(ZZb($42Kn2+jk zcvac(ND4M~k9DY|^Lo$-G{{y2; zY^Z^w;5Y$aEurrIF%S4?Bl(0K>4$!BY20+aZMn4&S@Rw`;&v{~m&~4m1w;Pl+ejzV z&U41lavd@8f}Bn6t>+Ua!FUAJi|AUv?JflDe)G9Vqq7J+=4L@{Vm16AS@I;v0H7Ip z0>-$qoKR<*RSabt7PwP&BHThk-gBA_w)F);*oiXoCu!QpNBFcln`@#1#PP=dHi3W- zt4dsl?IeNNke^-HY)|yCOqMSmv<5-WqLYfk5{-@$_|IXs3LhXvt0aYk&omiRA z8}%PDo8Y1C#iAKUoMUGiQafeijkz6^>{#*5>*a~sMm8VH>A;SFfs46v_K|cer4eFh zJe`%%1Zd+Z5k4eQksM!2OB)shMF$2b)w!7_mh!e(0b*)%NZe`ibNfW>Dir26yMdHT zo=|F?e4Px%gm6&bQ~Zt{C{p*~G6p0~!-ZnKq-rmyRUQrl_323Tk}{`p%zFo7#7o>| zN>sQ-LMmIKe;-}|pAuw4#U5!^scn=ocH40%N_zmhf{~*JUnBZ>VLOEM%|Zs9Lvf6P z%%z^ar2;9qCfTUm*+_G$)0ayGla?%)SI8ZnUxq(6c=>R{rh87AS!th}Qhf4A;|sY>*V0iBQc3T^_+0GB zMmnMv1T<}WuXV`AZ!sPq4|xqN^0q7?a1bC#4%%*cR5NTU?YHYpQfQ7BY=yFnVZ-ZG zM0@DKF?RXypT-hI?&qpZ9gGbYY~n``B!3F-<24QK8@AL{mDH(raF%--XhTr!gh~3^ zI1Ur(o7#-i#v&6L$!FMXpI7dD4&ThDA0&NR|Iur*9pi|;;fxrRzl0q+&o{qD1vp5V zReGqHxyLd{>0@UMqMkh5^0jlhCbRfaZ}FB0*7<+!guF;8gb-!h5ZmZ6uYr$gUC!m0c2xgsJ zgU}YxHghp6Tv<3>X(Z(*!W4wQ$2R~lhk}fAM_CEr6qe%s`?WePqCGduBH_#_k%i@) zyGfl;1E**6(2e}TnR}@XDqcsSGT-ur&?~GC&#{OT#B<@T0$!uis9n#h+!=i zKnRVjWo7fJO9oApj=DqjrbP2thc^NE`Xg2DYR8hO6b8a8wf~Hx7Jzp^{Ug*qw3ybN z48Y+H6@|1lTf|(3ob^y3DbSz(TLv=ICi?Y|z_&;G=f5Wkqv81KnC_aAAk&!4B6wH* z5rMLx$F}3izQc5wJ6-mD&YgRU0o#5Y)4}Z|8{1g|3gE;^|nAveK>{f7b^SRoAwZzy>%5wh?)%eE!o1`QP`vWw|~FPdbfk7a|pmUR!1ED!pJF-b08m%XJ-F^jXAjJOKKUYWB$@(x?eQO;g%>M6)vbY`;6-dO+*?-SNThPC5ix zq*5Ca8HB_e&}w-w^J&DHX}ZCPfU$vki#CqgRg8}Rxw$0Hcpb+22BBV9a{t$#ct_Qo z-A?yaNcQPemg1-xZNEJjT*)jpe3`##& zQaEB=m8${o{z;3D`{ph0{oSMiB~^D0UlpTy{@}+{!QFFwd&W0*3Jz7V+=k?YY{G=M>7DJIf6C5`! zu(a60cOL($uC!$_dz8G)fhyw``CVM?V8&nR68M59>8H&rFLjbg$Cd?Jolq%Lpx-1H zs!h1mkq|fVez4Te^y6Mb%zh+Kn4~lXnIZF>Z)Y6P*sk4Xh4xaG*L2VZ%cKbIsY zaNzw&*ykkCQG*(H`v<+mTqdP%E>t>C5LTkif!ji#! z>Pr%BzNE)DAoOcmXkj}zbcvC)5?`dxeh(z@L8NJcK9mzPS^34A>7einRLW;Kp0f#9 zwtQzgPJV;vw1DdTH#w=bm(akvz~M6>@B`s=5PIRvj&7?#kodEDZ3jJFKkHk?p98Gf z%3%pOovD~xl~43+zoeufvph8`V z|BX#!wH#X~!f;T<$&}obqV^kTpMs+9d~I|FIi6U2&R$JZ375yNyuXk8#q~|5MpxlL zY`*qT&KT4;mMRpw2-tYhCe3!H#_MRG8d!@qka_#sY+jN5bzMn(3U8z6wDo*koy$*g z!&b$57lRQo6~m(|YzmF=CYRiap4R*f{RctG)~XhiT{RTpdJJ2BBJ5+7s5^ir_!-BX zI7k|qwCx}Obik&D5 zVpKf!7W6Y@Os~0jP1%c6v0UyunK*xor0+&l5&0le{evnr(qldKWj+Fw(a|%u2q^-- z*arryxR-n=h8aZT9jW%QVsj(nMW(76>cL@>%~Zzbq{Wo6M3Wli3+y;!Q(QbGf=k!o zfm3X|JjzV${rGHYf~U4b!&d(9=L9khv}?C{0bed2~I zytIQT&xw!<4h3;MQ^S#;amOAN@6jzV;fXYMiB5bDrSB#%ft}{tX9a3yN6Np2C~deN z-&?w8q9o}%kg+P2!8pB&$XCV_mdp!&kPnnqcl@Cr+&!j-Xb9-&9DgfuUIF8WD5E?Y<4Ow*o{IFw8 zo`Np(if(ro2aZ4}gFVX+Gg?tq)@%ji_CQjl@r=*O(NozXV$j(Yph|e#)ID z;2W(mpjFWX7VQ*9zLQ(B*tCa>6^d&apJP=C;@+Pk*@1pI;&46`1E*3NnTo z1ERIMbaAPty9tITFV&ZXsfo*q?89Hm7wT-vD-F$N$||)*h11w1Ok)LmbnpuFAE*&jRpv{YiTUqK8)H3# z3SEG9na1d327YJ|HyoQjhYwwAbNi@Uu)=oe(scO6MCWs_!H-%Va?d-^w_!I0{nRk% zqN*Zhun2T5QIEM|0dOCJ&47&!M@UHHd}p2CcOaBGr%Xl9l@Sm*wQMT^qI}UjR1@xC zzoKp&x9mJ~1yQ(Ag#ODN(2J#V^sNa_cLkC!`_RC;3e$e)&dZX}&0hd%Q{UwX;ujSr z5W>JuT^YD2YCn3tA8@Jq88VL3uhW2uDs~^hNU^Txr`I6yeh-K(^EUcVd?OxlQwL27 z{*^wnB)}u^&p+wfh!B{%m)v;L@wpoZ!VkBh-ULd;jfoNu8`N0{BDbn~l+c58z1Bu3 z0<-IoJi*uy>8|9r^~@WkL0adkN*q`D6ng)t$Jtvo4>4rBv=v%TW-CcO)DV+v#p5Hg zLrh&XFf&7jG=rZ6X6FCo+GI|6FvFQw`Zc!*P)5Sg^q3L3y?%Vf)pkAn`ZPHq^=&V0 zv)rV-t zxBmJCq~E@XG_BHq5J;(w#ZqZOw0^xYtyjZO^}@}Cr$Vs+yruM-0rBOyOq4BxGsfWa zv@I}Uc@J998=k+4Q^4=E%=m&nMN)ACJJ9vUXYqdG#{IqB4Jw$E-6;4imdY>h zk;H!m-i+Ld6}JAf+^n}sAM%jxjw7SyEE!3v^?Ww;dAprZ2D1 zMxVvkm85g}_XSn7^*C8DY1rlXZ)&-er|DSbXiGM_oCNOKWOgGq7Qm}%Ee^&9Ce@<> z@w3d-1+OSOyqYA1pU4>tFzYH05Fc;=jk$iTnumU_!(@_A6U2^I)7iUrc&K?c3O3P7 zexC^(FvNguxuuBbg&A1W=wY5rD(sl@0M`Oie3ogw%O@*YATsqLBSva-g3RBAK`L2* z?Nb7RxbRIxLu9LxzU0V9n~UT&hGl^!r?E;)aFQK^yvC=030khP4c&13_%>MbtpX11 zu?+^8(>+sg>zZn!*XSaYbJn?hai=tkb+_DX&|Z|d zEP2HrE72rwNW8w&P_M&teoIW=Y8$ImlpGH2kd7)y)z{Ob*mv^Y!w2D*UOg@EK*@floKYWN#4F}&Vb*{k65t>uB-?P|x#duao&CshV2=b=AM@0pQM z&C1tOLNF&oi)kec>7mXa?82phoY>@ivKu5ciE$217x=;ahnUkb@{|1BWIN8W?FZ8d zgkb@g47ZO?cT-Y?v!`gNuvNmM)6S2zN~R7baETU7bT1GKi3*j(nHSjui$$NZfS-;u zuRlNn#Rob9bePHRGj~d!TVr-!-6wKwjl_c$MQJ0K4)8^#zSeWT2Ww z?A1clo;mODLygn3b>fP6d1m1Eh>Ia6L@G2*;Heo9V zU>K3SopImrbu|4pv-9y0v3BwGB9?iD6J~;yVfy)ok7Dhr`wtzMwoqp(E$)q9K8c_L z3Ek(UfYOWd@>Rmz?YzCIs3IORUs_G(fp)rQTRs5uLnwL6q^n}rs4~553f5uZ^$_~|~9<~w-lo4-v1D#g0plaVB*>^bqk_mqZU9Qa?jKD5Rf+7)pF@ z6aKttn77mxn)@USMfA3wgH*EBy-WD!%{B|g30_!qHt!gBTVLH7x*3xazKn#g)ncq6D8(mIuL*9&xE{N@ex&u1J(hK3kobCb_-7 zy@f8Md$e}EBf$(2gcRV($hQ2}c+DP$R{B0WyrmSBn+7R|vHm2%uLhD?rG(7v zjZmya4Kt4Co#cn*zRV1)yL*0=%p285f-|ObT-m_~=C}?r9fgV`_M?W{3N5Ok1gmN1 zuA#HaL3Vin0cYavtvjj4cEIiBrW%i@5uM2``u6mg>i5MpFpoc-^7g}s`mJ#=9wV2Y zba;OTuxm&IdA;&(?*!o9qgS@}*oh)^>s1hKKa0?)YwW@V299;i)Mrj07MH7gjF*KF zf&h^wgDO%S)qWlGv=aKJV+i&O8jbuJjYC@ChmC-oMk@K%oLb)|XT~YOn`V-g=GY?XJQ8 zv*A3)1|hY0sTI7!W-|Qq`Wx9t#nUhx3vz$1(5@PD>MKDNI@4au4hE#Y#6Z(7=i1zL zLcERU2Syl?t9-Vd`K1hIU0esQ#2@YW!WIcS)+TdTZok_t;3R$GAryf64z*|1hFZIh zf(V7gQb&ZiaB*)lbc=#QA^zTQ^3`M>UPR8KG8Wd1#d47FEna7uDjsyhxgPLVaJ+Yl zkU(vhJ<*E-{S(Wm)|4P|&XkwhBe&CK@+VVk6Se?AN`r|a*4*u&7n*qy2kBn%NteFc z<3>pRU>$)#B~u**X1hRh+E%Q9RnVmSZg7-10~v)~*3c$tz)@>x3)pG?CR!Yr9nj4f z1e8cfp&1RgALd5GJhfN3YUDYa@-)tV(I}$MioOAfSfp-eSGqKw zSt{vw_X;tyNNB9i#dfv)7W09Uuj*E3-UAbc91=Qi}{7{#Pd#lc;BTyv4y={q7BXO$kTGoHY3m>)St3rCYC8(s4*Qx2nGGnv<+a%U?Oh@18(Z#`jn}QB+xu9Cp#`SPG2?f9+1zO z>hbKH7PT(t(dF3Ht zhi~!>QV%@z1FMF`Y<`3SD9YxNtx}p8v>k0=kRo;=4|@_Gc1~f`m#Yn^xM_PvbCI`~ zJW+kNmn~liIqcil>&8q33gio!!T_Zy!7g~T5!nUbijHP?h@nn%v(;ib_CQz~KTL?G zdPQY5aNiZqiAun=C=`h_>M`*FLOY$OX(IIngS(w3fk*`t$;r>iAr>7j-NOOm-!g@h zr`-QoBtPJGYP&Xr*d2V_D~NgCrNGo%%#lQ0lpXkTWPNz$AahKSiTm|7F#5>tbvc1$Q%RK4rU3e(k}(DyKTG zlKTiA&Es$oKWE3je0|&~`x+8jV;L)Q(`0Af0*v@2SWK#`0pi(4OqL(e`*HG2zBsmKItnlg7dnR1S@<;FP;@iq2e_sue&pmnIEp{>5ESVdT)h47eT2t0d!LT z!9r+a*pRtad(zk{XjLN`s4cIP2kvFgn>yJ;jVn?dM;J=(nF#T<5lS9zdwzVHq#P_7 z@!LuW+1bar_swzfOO6`Ahng2Im;L{K2r!_&IoBqD6M2TAN8-XODov2QzvOi;RYo1y zS0h5^yKL;PkZ9@ayMV~lk@3;H4o(w0CBQ{hp?M3U_|x=iEj2rI3GVd(K;tB7$({kj z#Sb>IL{WN|^W8{WO)z)*$C}9-g!dw$^RXSA%bJjO<}y<3n(AJG6W@B{-T4N@Tfs?Q zo4KMmPN5koQl?Lg1OA+`;x<0crmLwM(raTboPnx1)JatilU*#c)a|UWb-3#g!;Z=s z*#p!4JP*`bn>}w>irq7PId!D>C<1;p!iA5!!Dm`e!DlXL{q-4WRLdEG@=EPBrkj8| zTHb%xe2`Q+lJLVsirHG*T~t;m-nmEL;oSj_pBd|K4?j@vSv>_bnC+XSt0!Enf$vh2 zLp>x8l5+^9M1b+nlDF#aM}QGT*s5;n^4SITi(WaliSftq;yR`zUx8%_x$1TPa_Lw2 z-I?xL?lxRzwHXoc+gdp#3<>F&mC)k8Xept4P0_?B7di-Z_*M1FS(6{9}%Y8xNSPGaYcQ zfb&Hf>?;h7)9y5g&ORa?}G751?9BMk&2jEzPK_p_gi-#}qw3|xLf z4?&txwW996M1b1=La^6H?b4i99O57V#dV{epR)s$oikT|f|TV1W~u9xFp}jXb}tMT z-$`~}h7Cc?N_OuK(b6@6m`pRR`L+QF4%non%3GBKJGb0y7S`5&Z9eHCL&6!W*IK}O zEi#hVA;a&;-f?eLfw?>2ko4%Hfm)llwDG}QgAzqm&__hPOWtlwx$h$nJ%VZtZ<$&( z6%wUdK-#~`@%y8FEbmJL^ub1!Zjq${e37DAf`-A4&@}=%7lV($*SyhVk2>H>?sB^1 zUIHnEhJ(+)dDET7%V^s*=FEyPf|X0 zrIEF3VmOj1@dqZ%9pb^_xRTFVAUyzjaREob#1diLmPd#y59C*MFJ)d!zA2w!JOW+0wuwDa}j^;d@G@3r- zwr3tC&0vYi!9?^Z zK3_WfP+D@o`bv+?g%BU)%2#N6x}U(8A5N2JSvb(;fEJ)Ltv+f2j_+Mh-$2vac34Ri zr1PW*;$4}`_wHPK6#=(pz$@8lqWlnHVc`v6W^KxsT973a6vG1)C&aa~JTeHxc%LZY z@RkQ}9_?cjInYgPdX&wm$J z`TK{;&P)H96p*Hx@Sl2gf7eF-V|N_wt4AIE$sAw*{`ud(nfG9a^rTrA+H?1`6Mpi8=zmJ>{eC6*9$+E}(p21>{>Jbh3NZis!f*8dVB8M3u8xZB?Zd;e3=629l2?!&$R4BP+6m;W_0E*-*%*b_O{=5 z-hV>E?-AyoNcum)1^KUk5|H1st$z}bzY^HLGR=Pykbe@8|90s3Cjt2<0r@@S_}gmv zCjt2<0r@?o{F8wE9#Z~EKz={d{=QoNNkDd1i=eSo)W5U<{=IzusfPT%a{k{=MqbOr zMYDj*R26jR>`jtCmxKG938N8FD<<{#07D(sOhDl@A; zn3Uk(5K z7Nq61nF5ZrlP7vN4fLZeC;AY>q`-({ku;y(Uhk%fwb2DTf`bYBY=pU|&wjCQfM&n* zk+VXvexl|QJ$v89&~kjyJ>UU4^}1<3b!F#hdiml&b(^COZ-~32W&5=X*Wo=663qQ! z#+{=t;5!KpV~R+>O(y0}H~S+|^TBkF5W3w92ky1U0rFD;ypf{91bY=Ue|>8xw?ck6 z4~-Q7grf3V9YQGJ2IfyI7qXSp{k}?m-(MgaU7!RMt-~Mp-2Rrz{r!JKj=y?zQ2~?x zn+5mZ<^%p$x(N#B=|;PZ{!=>r@7IE|{3EtKF7gXz{k@DJV-yF5O#L~m`g1TMY!hGD z{&v}q2TtC5^M?bBot(=%U?N?2;Z^<3GJb#A*%#J--UjiuJAhrvzZt6b+c&;(djyIk z-%n0@9N+a@{6$e-1g8ACH{}1`fS{3A|GZt~dg{B@ao4YnHA}-1n%dghslMJdeKa?4 z^_iFOzKn@|X4=P}M{zV{exwOJp`omuaCg=ZSGRmqp3TK?&&Bh%_Pjhxh&(lxI6u~J zVdquq>h3B~>gby2M)-_xX=|&pvh^wzDHU*{iJ*zq`cJF2|21LI=PKUC{8XWL*Tioo zM!!AsPFQ{Ql;Z#O>yef2=Nn|KL1%mnxFk6xgeWRtH&h-1vydn@(cf$q|93Cvkw2|` z@soQXf6Nc)oRl&UHQUSlRQ86#p??PnWE?JXd`GAQfCVsidJHy2PiFy4e;^q&L|ptBI-- zACS(aASGhh^>Io5_aXY*4h*lS;!$L15j!QIaqEO|Sp3aa@cr4>;F%a;(K30OP491Z*daCL&Z?Y&T*8jNccF zWe!2Foo93r5MoQLh#F!7!&&s;5fOkc4!pYk69mn{S%?apj^iya!3ggI$S#DtO7`C^ z5bkWLyrttLorWiw<#aen2*#V>#<+UFa+MJ1+5(EKA$FIL=cdq0j!v4aE@8u2D;g$Jw`@%Dm%EP?F@qn^1(i1LT(C-0+ay;J zQ&4XbP?D}vda0M_nC48pI;p7gBDnC_P2hz-2W`N4kKQ~(J;dRz*5@!i^HCAMws#2e zhy`5Nsurq2XRZk-X+gdk<7iZj@X$Fu7e$FW|SV|e@IEc5G6ds~h$tWd^XFF!a4ccf2(mL|= z2=3fsfWsZ=L5D?3iT>`6Bc#z9&Ta306a%^)26>L z?bE$lszM-Kg>?azgaKqlLaN%b=-1J=L1YsFW~U`Ewj8$u2yOByk0ttZBE$Dnib0D| zOAs%1{`0li);dHF6`Uy^gifDqDV7=(-kE~_rZ?52dyMW5rWZ7(4<=15`4^N-tGs=- z9HUT!+?3VMO|i@1&pecNK2UZ~Qe<;g#-?M5Tv}o9Y%t9^snzl*=eU4x;IcJqtMZs- ztk@s)1Nf<5PY6a>dY%``J4^(!=wY~)l#v;2z7w@1EWST9|Bp7)OB4X52=L%n<%?LG z*+aUMla=+OId?{Cd$oNGwv#Z3C_e`=e0MqGKfDHX)$08AmR*gbdSb{Y@O02pbDUa$ zEn^I^)6AX~=bi!OE8ZHAfYOo)j%nG48skt`#RwbmZ{Bi37@WYmU>FW}9NL+Tw#PJQ zG+)IH;6MB|8Sf9~EHICCnbhj&w3OT=@*}I6Z?;h!+WHaFV#e(%54JiC1U)zNawERj zqMEW=y=enh51FM92IK{dEPK9EhG`87yZu@w^fh~PxGcp=dhfL!hvzQdd2Y(}@